From b0b4b9d8d6d0e664e22ad307149e97b9638dda96 Mon Sep 17 00:00:00 2001 From: zulissimeta Date: Sun, 14 Apr 2024 20:09:37 +0000 Subject: [PATCH] deploy: 962bffaacbad2a598df9f7ad167619254130c0ac --- .../train.txt | 16 +- ...765bdfbb15ef84d1d3062637148bd4f0927ff8.png | Bin 0 -> 175169 bytes ...6d783fe77423edb0c5a4883cf7d9dceff8d2cb.png | Bin 175068 -> 0 bytes ...b3563a2c14ea9bd734526a36fdc1963942d806.png | Bin 0 -> 34871 bytes ...38daa23502da4d794234ef3a02ebfd05b700e1.png | Bin 34972 -> 0 bytes _sources/core/inference.md | 2 +- _sources/{videos => core}/intro_series.md | 2 +- _sources/tutorials/adsorbml_walkthrough.md | 8 +- _sources/tutorials/advanced/embeddings.md | 77 +- autoapi/index.html | 3 +- .../ocpmodels/common/data_parallel/index.html | 3 +- autoapi/ocpmodels/common/distutils/index.html | 3 +- autoapi/ocpmodels/common/flags/index.html | 3 +- autoapi/ocpmodels/common/gp_utils/index.html | 3 +- autoapi/ocpmodels/common/hpo_utils/index.html | 3 +- autoapi/ocpmodels/common/index.html | 3 +- autoapi/ocpmodels/common/logger/index.html | 3 +- autoapi/ocpmodels/common/registry/index.html | 3 +- .../common/relaxation/ase_utils/index.html | 3 +- .../ocpmodels/common/relaxation/index.html | 3 +- .../relaxation/ml_relaxation/index.html | 3 +- .../common/relaxation/optimizers/index.html | 3 +- .../optimizers/lbfgs_torch/index.html | 3 +- .../ocpmodels/common/transforms/index.html | 3 +- .../common/tutorial_utils/index.html | 3 +- autoapi/ocpmodels/common/typing/index.html | 3 +- autoapi/ocpmodels/common/utils/index.html | 3 +- autoapi/ocpmodels/datasets/_utils/index.html | 3 +- .../datasets/ase_datasets/index.html | 3 +- .../embeddings/atomic_radii/index.html | 3 +- .../continuous_embeddings/index.html | 3 +- .../ocpmodels/datasets/embeddings/index.html | 3 +- .../embeddings/khot_embeddings/index.html | 3 +- .../qmof_khot_embeddings/index.html | 3 +- autoapi/ocpmodels/datasets/index.html | 3 +- .../datasets/lmdb_database/index.html | 3 +- .../datasets/lmdb_dataset/index.html | 3 +- .../datasets/oc22_lmdb_dataset/index.html | 3 +- .../target_metadata_guesser/index.html | 3 +- autoapi/ocpmodels/index.html | 3 +- autoapi/ocpmodels/models/base/index.html | 3 +- .../models/dimenet_plus_plus/index.html | 3 +- .../equiformer_v2/activation/index.html | 3 +- .../models/equiformer_v2/drop/index.html | 3 +- .../equiformer_v2/edge_rot_mat/index.html | 3 +- .../equiformer_v2_oc20/index.html | 3 +- .../equiformer_v2/gaussian_rbf/index.html | 3 +- .../ocpmodels/models/equiformer_v2/index.html | 3 +- .../equiformer_v2/input_block/index.html | 3 +- .../equiformer_v2/layer_norm/index.html | 3 +- .../equiformer_v2/module_list/index.html | 3 +- .../equiformer_v2/radial_function/index.html | 3 +- .../models/equiformer_v2/so2_ops/index.html | 3 +- .../models/equiformer_v2/so3/index.html | 3 +- .../trainers/energy_trainer/index.html | 3 +- .../trainers/forces_trainer/index.html | 3 +- .../models/equiformer_v2/trainers/index.html | 3 +- .../trainers/lr_scheduler/index.html | 3 +- .../transformer_block/index.html | 3 +- .../models/equiformer_v2/wigner/index.html | 3 +- autoapi/ocpmodels/models/escn/escn/index.html | 3 +- autoapi/ocpmodels/models/escn/index.html | 3 +- autoapi/ocpmodels/models/escn/so3/index.html | 3 +- .../ocpmodels/models/gemnet/gemnet/index.html | 3 +- autoapi/ocpmodels/models/gemnet/index.html | 3 +- .../models/gemnet/initializers/index.html | 3 +- .../layers/atom_update_block/index.html | 3 +- .../gemnet/layers/base_layers/index.html | 3 +- .../gemnet/layers/basis_utils/index.html | 3 +- .../models/gemnet/layers/efficient/index.html | 3 +- .../gemnet/layers/embedding_block/index.html | 3 +- .../ocpmodels/models/gemnet/layers/index.html | 3 +- .../layers/interaction_block/index.html | 3 +- .../gemnet/layers/radial_basis/index.html | 3 +- .../gemnet/layers/spherical_basis/index.html | 3 +- .../ocpmodels/models/gemnet/utils/index.html | 3 +- .../models/gemnet_gp/gemnet/index.html | 3 +- autoapi/ocpmodels/models/gemnet_gp/index.html | 3 +- .../models/gemnet_gp/initializers/index.html | 3 +- .../layers/atom_update_block/index.html | 3 +- .../gemnet_gp/layers/base_layers/index.html | 3 +- .../gemnet_gp/layers/basis_utils/index.html | 3 +- .../gemnet_gp/layers/efficient/index.html | 3 +- .../layers/embedding_block/index.html | 3 +- .../models/gemnet_gp/layers/index.html | 3 +- .../layers/interaction_block/index.html | 3 +- .../gemnet_gp/layers/radial_basis/index.html | 3 +- .../layers/spherical_basis/index.html | 3 +- .../models/gemnet_gp/utils/index.html | 3 +- .../models/gemnet_oc/gemnet_oc/index.html | 3 +- autoapi/ocpmodels/models/gemnet_oc/index.html | 3 +- .../models/gemnet_oc/initializers/index.html | 3 +- .../gemnet_oc/interaction_indices/index.html | 3 +- .../layers/atom_update_block/index.html | 3 +- .../gemnet_oc/layers/base_layers/index.html | 3 +- .../gemnet_oc/layers/basis_utils/index.html | 3 +- .../gemnet_oc/layers/efficient/index.html | 3 +- .../layers/embedding_block/index.html | 3 +- .../gemnet_oc/layers/force_scaler/index.html | 3 +- .../models/gemnet_oc/layers/index.html | 3 +- .../layers/interaction_block/index.html | 3 +- .../gemnet_oc/layers/radial_basis/index.html | 3 +- .../layers/spherical_basis/index.html | 3 +- .../models/gemnet_oc/utils/index.html | 3 +- autoapi/ocpmodels/models/index.html | 3 +- .../models/model_registry/index.html | 3 +- autoapi/ocpmodels/models/painn/index.html | 3 +- .../ocpmodels/models/painn/painn/index.html | 3 +- .../ocpmodels/models/painn/utils/index.html | 3 +- autoapi/ocpmodels/models/schnet/index.html | 3 +- autoapi/ocpmodels/models/scn/index.html | 3 +- .../ocpmodels/models/scn/sampling/index.html | 3 +- autoapi/ocpmodels/models/scn/scn/index.html | 3 +- .../ocpmodels/models/scn/smearing/index.html | 3 +- .../models/scn/spherical_harmonics/index.html | 3 +- .../models/utils/activations/index.html | 3 +- .../ocpmodels/models/utils/basis/index.html | 3 +- autoapi/ocpmodels/models/utils/index.html | 3 +- .../ocpmodels/modules/evaluator/index.html | 3 +- .../exponential_moving_average/index.html | 3 +- autoapi/ocpmodels/modules/index.html | 3 +- autoapi/ocpmodels/modules/loss/index.html | 3 +- .../ocpmodels/modules/normalizer/index.html | 3 +- .../modules/scaling/compat/index.html | 3 +- .../ocpmodels/modules/scaling/fit/index.html | 3 +- autoapi/ocpmodels/modules/scaling/index.html | 3 +- .../modules/scaling/scale_factor/index.html | 3 +- .../ocpmodels/modules/scaling/util/index.html | 3 +- .../ocpmodels/modules/scheduler/index.html | 3 +- .../ocpmodels/modules/transforms/index.html | 3 +- .../preprocessing/atoms_to_graphs/index.html | 3 +- autoapi/ocpmodels/preprocessing/index.html | 3 +- autoapi/ocpmodels/tasks/index.html | 3 +- autoapi/ocpmodels/tasks/task/index.html | 3 +- .../trainers/base_trainer/index.html | 3 +- autoapi/ocpmodels/trainers/index.html | 3 +- .../ocpmodels/trainers/ocp_trainer/index.html | 3 +- core/ase_dataset_creation.html | 3 +- core/datasets/oc20.html | 3 +- core/datasets/oc22.html | 3 +- core/datasets/odac.html | 3 +- core/fine-tuning/fine-tuning-oxides.html | 15 +- core/gotchas.html | 27 +- core/inference.html | 62 +- core/install.html | 3 +- {videos => core}/intro_series.html | 75 +- core/license.html | 3 +- core/lmdb_dataset_creation.html | 40 +- core/model_checkpoints.html | 3 +- core/model_faq.html | 9 +- core/model_training.html | 7 +- core/ocpapi.html | 346 ++-- core/papers_using_models.html | 3 +- core/quickstart.html | 37 +- execution_time.html | 65 +- genindex.html | 3 +- index.html | 3 +- legacy_tutorials/OCP_Tutorial.html | 1441 ++++++++--------- legacy_tutorials/data_preprocessing.html | 3 +- legacy_tutorials/data_visualization.html | 205 ++- legacy_tutorials/legacy_tutorials.html | 3 +- objects.inv | Bin 12482 -> 12503 bytes py-modindex.html | 3 +- .../fine-tuning/fine-tuning-oxides.err.log | 2 +- .../tutorials/adsorbml_walkthrough.err.log | 77 - reports/tutorials/advanced/embeddings.err.log | 49 +- .../advanced/fine-tuning-in-python.err.log | 6 +- search.html | 3 +- searchindex.js | 2 +- tutorials/NRR/NRR_example.html | 188 +-- tutorials/NRR/NRR_toc.html | 3 +- tutorials/OCP-introduction.html | 101 +- tutorials/adsorbml_walkthrough.html | 463 +++--- tutorials/advanced/advanced_toc.html | 3 +- tutorials/advanced/embeddings.html | 128 +- tutorials/advanced/fine-tuning-in-python.html | 49 +- tutorials/intro.html | 11 +- videos/technical_talks.html | 9 +- 178 files changed, 1800 insertions(+), 2151 deletions(-) create mode 100644 _images/039ed970e0b1e654d1c5696394765bdfbb15ef84d1d3062637148bd4f0927ff8.png delete mode 100644 _images/3c0ea376da00e3a4561845b7db6d783fe77423edb0c5a4883cf7d9dceff8d2cb.png create mode 100644 _images/42099d5cc866a7d1b4adba531db3563a2c14ea9bd734526a36fdc1963942d806.png delete mode 100644 _images/e1d30625e6e60fa80387151aa238daa23502da4d794234ef3a02ebfd05b700e1.png rename _sources/{videos => core}/intro_series.md (97%) rename {videos => core}/intro_series.html (90%) delete mode 100644 reports/tutorials/adsorbml_walkthrough.err.log diff --git a/_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt b/_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt index ca83ac6e0..c091a5934 100644 --- a/_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt +++ b/_downloads/5fdddbed2260616231dbf7b0d94bb665/train.txt @@ -1,17 +1,17 @@ -2024-04-14 13:46:21 (INFO): Project root: /home/runner/work/ocp/ocp +2024-04-14 18:46:02 (INFO): Project root: /home/runner/work/ocp/ocp /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/cuda/amp/grad_scaler.py:126: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling. warnings.warn( -2024-04-14 13:46:23 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities. -2024-04-14 13:46:23 (INFO): amp: true +2024-04-14 18:46:03 (WARNING): Detected old config, converting to new format. Consider updating to avoid potential incompatibilities. +2024-04-14 18:46:03 (INFO): amp: true cmd: - checkpoint_dir: fine-tuning/checkpoints/2024-04-14-13-45-36-ft-oxides - commit: b90c171 + checkpoint_dir: fine-tuning/checkpoints/2024-04-14-18-46-24-ft-oxides + commit: 962bffa identifier: ft-oxides - logs_dir: fine-tuning/logs/wandb/2024-04-14-13-45-36-ft-oxides + logs_dir: fine-tuning/logs/wandb/2024-04-14-18-46-24-ft-oxides print_every: 10 - results_dir: fine-tuning/results/2024-04-14-13-45-36-ft-oxides + results_dir: fine-tuning/results/2024-04-14-18-46-24-ft-oxides seed: 0 - timestamp_id: 2024-04-14-13-45-36-ft-oxides + timestamp_id: 2024-04-14-18-46-24-ft-oxides dataset: a2g_args: r_energy: true diff --git a/_images/039ed970e0b1e654d1c5696394765bdfbb15ef84d1d3062637148bd4f0927ff8.png b/_images/039ed970e0b1e654d1c5696394765bdfbb15ef84d1d3062637148bd4f0927ff8.png new file mode 100644 index 0000000000000000000000000000000000000000..ea24b9174190d9aa5bf82dae1189031cae1e6da3 GIT binary patch literal 175169 zcmbUJcOcj88$OIvDwVs05>b*$vPU5!vO*atgzOdBGO|)+OWBEJQ)DG7DkH08r)6iB z9m#l(>+}8oe$W5UANP#+`}Ml6^E%JtIL_m|g4NF}{J8wCZ$e`l5CG$|-HxKdD1 zwo`A$|B<=;TO9uobCK6^xnOVM;%4k*PI1oI#lhCz#n#${?Yg;>v$egQ5U(h&FgKf( zi;IJ^I3M4&|Njs0+B;eD9XNalpGdLQK}pw{f?}sJ`HM1JI?I}Zl7ix_oQ#%x(&R%| zeXX9aZ>ogO-11`!x%rsW$Zh1y_lmml{O{k{@mI)qRvWiR`2ivF+mzh8`5k+uEfTb~ zO@daR=6S96w1_Vz|D#!K7Hjd)IHO}U9d{r~=L-MVJ|ImQ3`-(MNt$e*fQpmEx(dp5N3~8QP$* zFpgu#wn|D$hU`8bsKl{cR=XThQX>5B-8*%z7=~k-RA^Q@8*wO|4bJw5$4M&1?s(CCA~!NGF!@(1^X7M7IA z>FND5yr1z#GfvS=kje66QmRTEug>Mmnk7~mjj=o`GXu2(Cr@Tw`}&+k)WI)0I@-4U=di|mpJssWWLenkMtMl{$+Zi+Eg6X1p z^!7MAJ1fU>pG}eSe&IB{O*v!MFs9gVa%N${{Lf@hN4CbsLx&DEMjuPNa*9hkzquxu z-eY}jwTdfEHnne{HgtZn=RW>%Azf(~d5vJY!~7y58Rku~lRsWRNKa44YiuYw%F7$^ z;lauFC%Qu9@h;{v;0J1(o5R{NRNAY2eeJ$iEEE*5^78VAv53*>>FI@qhZjD7p6N2y zMqZ-Ab)v|jU)KNDt@RP7;BB5&Ka(fA3xu48lvY+(b2KxyiP&_dd;Oi=%glW5-aY?< z0>1qG{1-1?7}?o<%slsCw6|(~eZC_;I=UuF%=z>4Yx^oHDunI6#Un&Ci_Ff}m~+*jU3e<7)S%>4S%rqaPVp2Y&A9F}AP> z)aO0Q#^$&4fE4+~XywB~mLF?cTXz{4d|yup^JjbJJaXRRL!!Ki3H!o$XWG@yT(aD( ztgMKg>Dk$VzjGt*9v;S)mhY1#Z&-bMF|)2(w?X(2*2=m)v(Rno3eA82S+}Kc{qyHf zG^fUfC?z=^oxS__@0akL4;me{@|+)i`~2G1XC);oDUH|@@4%f0BFf56UcY|5Bj>`M zZM(UQ%*<|Uan-(mf2Yj8cXs8kGZtT`*y6u4cXseR`{8ZM$*}FjwJ*2R(hh0nL?coz zWGL^(PTz`%*x~5th-aIbAG_e??VWSEll0{+c-){QR^hPoCT_>3LiAi0MF0F!z;LOTHGJyz1jlH#Kw2@Zq*!N`l2* z$N4?yts3L_QpOf;-n=>a{bd{$e0r`$+PUw|&GiO_iT-|>_YtgHckK9C*6WjI)19Ai zp1WK>qPSS->+@@8xMG|pKMROopInM;(($ukk@Sqlt{7vxUpNk0eR@P`;#e2>XKBg( zW0F{P)FH)eokDi)eEn3d9L@C?VOzIuogZtzgAi&jcedQTbH8fqV|k%hmuRV^yq4Zz zNtdSkH*Vj<{ie0G&?s$H0p~2kdE{eFO%1>8XMS;)QNPMcpTO=$Gr`|KUN`;u^_5c8 z`6mrdRl78A8XL8!xOkDvm}aha!ABg@XJutA^UHVd(*Bw1ZCRM;9&5|k{yy@+y2bbR z(#!$^0xnZOSS>9r$!5N}xe+O#W%{xVt^3^1|Mbf2h6mqAKDk^Pl5-(zO>IcRcTM8f z=KtP(`gGTEu&y;*BTek#ZEbB9R@NNDs!D~$V+`ANu!`5Lt^RX#a4>4PcNjmm$*S(9+mzLpl4J6rd(5%+ z%z8geOigu*%(hPbcs=-~)JE9;$I5{i=jHjaCk8KLcO6prROP#_x>L+|q%}>ETes-; z=Kq)-h8uU!&(E)Eh;6S=#8&$(j~$irS*d>)usug3El^>xVc6;V)Q=A{gYR|Aoygf- zQ5+^q`1;0T=Gps4nv=vX4C>6QrAYOUjt1%Tl8@HW(_2q-+QaE8HiXSs`SaDjIZ-4O zFEF&UmZg>===NKG53hdEty|U7Y^mcz`UO`cA3uKl`IU!IW@e^Xg&}X8knft;k1F4m ze~VMcbc=?h*)1u127muPAI>bYG?tYTFXo(Cw@+I^10Ke zDeUa*5-#h_HYNyJj(&f6lKzP5Bkh7KVwJs}oiStWSwiNG443lt|L#=M@ykS+xP2k( zd?7-JTk=Xm;f+PR9S5YESN|PUF1>p3YIpvJmA`XQN*rPp(p+32Tj`G& znVZ+9DMmVZ`JP7|7e0OD{w`)_Wh*Prr+Q_XGPgE2KRk7^dr(YF%yD+;Z2pzk$^qMU zb6zg7s!ZBrYGM);8fuD{dZJq#h@ZC@i>MF5t_9LC$vzZ!C1q)Od6|Lda>*OXKhmdZ zsbtTbIeYeO|454O5eW&Fqerv!Urwe--l%I%5Ym0^DS}Nzg{Cnz9h7KFNJ>(blcVCh z^6HV>)Q_+O(#bzw-x#^dEkheGVzXy$ZSC7D5Bdui+U-v~SiHd@E>5DQE8n2$FFHohYmSjzi#pAkqn|ssQZpsfb83$hWkJU zeTeG4OiX|p36`~IX{mrml+K<}ZMp{OY@~S&Jgx_yw zJcorAJjlUu`}<3`x%UTrr~mxYOV>O`AucYSB;_rx_Q2%wW#-l8g+t=v%oIF4JX{xZ z<&deFBt3;uVLPo@WN2SFkL)0i+h2W$ii(PYZBOV}*VBFXkDO~P4Wl?|_syuM$b5Vq zSvw0=n1)$6=*nx)Rke-NRc`n0-xs?+xmPiAe{F4Tz>6263zm7>1)2CU59am7Uf&UX zBuWTHW6W{IVv7%Z#hf_)V;278ZtCLfOt$)4h3j@VH#ZbU_NX9K`eOUuN)|mj>7#fb z%8i@vR&tC@Ok8;F>FT*KUVHc8nKgmDmdGH@oT0k#eWWDdi*t(SQJoQ+mNh}U@U4hQ z+t1HrR@bpX9eLW3y*~fK@jTWno^-o*y+s)n#R0ef@k&E`*Igx!BvD6ycKMK@%L?WC zAN$_kLgJU9rQ)F5y8HO0^m7kRgzcAP*33ArgJ2#AK%OdU)#K?DrmYzOs z%@&d2vE!Id>DArc1%}!M)#i=SsYp0sdjEthrxDpa^lMW7sqGV)oxyS+7m7hC= z22fHuaxaE$r`y$}@$t&-ndcC|0tOW>B%p3? z++uR=+6Q2exs|X3tTMEs4t*3E$}uKbXbujJPcPlT$>tNM7ggm2%kq>G}EQ*|q6u2PEw?_#9D}QQ8wHPN+T#uIZFm?P3*o>1)qYLrLEP_?wUPIJ|0YZN0MgZz`JW zVo0y=I_t)b8v}Q+HX=}uT`u9o$FE3}sUq-wH6f}nZhGoY@?$;rK< z4s0448Xlesl(Z}?s&Tvq*;ihRA5}}P`SBx}NyviVri&Y4?Y%tTP%L=ixvee|xqP|P zuui3y7%KDzqc0`aWUsI}dAoC(MLlLYfZj<7l~Yh?dws)g58oBl>cIbwX{IYxnvE__ z_Ru3!*jKIAAq=w(tE4`D{8(bu>W>AV`ThN+gml`QvKb~HA0L;=&%02031&gr?GQK& z^i)$<*H&WP?&Wa_+wl3N8=r!Lg7CF3(Kr_Zs47UrjW`$pMw{^-kMWU)-(Q+H?a5S4 z@GmVD0Sd}e2xlHY5RjLbS8?V1mDaAVOzaTQUu%i=g~Sur8u46#DJchDUjOwNN0MgW zi7?hv*BM?kILRn0Z>w6F-40}t;X2Vp!zvz4cUU=F+OWz;5=7=hT)SRp?nMC+k;5V) zG1#=W=hyV=B3PU5A65HY;d;C?PaD4}Nwb%~FYiXXP#e-M-r(`Yyi22_qZAG!A6cnn z>dSiNQ6W9%M|Ytvk}BiJ^`s9Zq&Y=81@OcHcuKYS>h^kMIvtex9XoaaoELh`Ss;EM zCmTi{kgogjL&|XN`R2`=Nyb2gCW_c7kbEWX!ujLJkIB!4w}9b(`i1*ivW9Qbw?d zy~7TY+%?jYvYzYbh^$_HXXnVL)HA|1U16m*-9ClB;$mX0>1XeI^$Y?ytAS`KDJwt5 zvX|I>PZTh%>l+w&hb)j|@bZM-bK8dd8L!@GE;3S5Qj$+V#RGV+MGmZ@raNC|HWYXE zM`PnQNy*oI+#D#pgvFtxl2aABhsPZygmLlOw--^U`kxT4&+U89BNJ48o^QAD9cFy~ z{Q1(-(%snD%(as?Ha5r;jVQ}vNFYdxYu(#r*1DBcRMKuN{?;#d3c!&ULQ3Xir~qj} zg`E3k5F*EJd+l0PyuC?bJc6&#vSokbN&An$Tw-2J(~OIfU^v*53l%QbfX!-110CB~ zvw!Lpn$*tnoZwhp9RBs|=~@{oun>5}bGz>$k&!#G#GKC_4f!8diRHKa$g+6{OFa-O zxXU=B&7G_)%gO@QF}vq3SiF|;&OB0Uu|*b0W`W?^q+pZd9{-A z?~$y40FsamS9o1qUB|wa3lSa!+Cvr{do|KD=fh$5l+wYcjoS%nVA`H*}ZKOYWU#N%-}dx zUCZu@=xBxw8#b&(^~#I0M=7zs{E>QQi$VlTLj>z7C&{&)*RGsZQ85LjM45;Hy8$+Q zhw=*1V(n@>^^P41Dk|FpWTVpltNr#(qJ83=sw(w=|E-QY10U3dF(K{j>sW{ebOx_M zX*%Ze>r0H!>aw?hn2ak|a70Ai$B(?dW*x1qGO6mcd-pEY4s6Tax2CKC>GpP zr0qeilrl7tj6;C3Q1=c?NhJetXk@A~Sv1F|Uiu~-ca)nui~!sRVPnb)Mn-Ibfq{nK zESHk%N(u<(57EsAXJqHO{GK%$ztTE`$T1hP>RM2_?j%cB?DFLcY_ zpCYDnW-4V^K>-R0m^1bE?M>4^dWtQJp+!_&|J8`Y2=YAywAR!rp|O;GH|Zh1abr6udr;ET$h-01)#UPUJ($LvbIc%|LmdU0$#u6tUcS zBwq5y3B2H?_vKmiOiaOS)Z?zA1%m#KA-{h8df4x^PuPkU^(}1Q$@3470iPI#H@$kZ zGnv!z_ct-m#oyuOwG}5QMmxVzA(=I)|Z0LQx z?+qnhzwUtV%FT?7!>HT?Kp0R`+6qnI(+tM#U=e*}M;S|B%XOSd+IzVM3p?6f(5oH1 z3zW03+t7CyZ#hoy0ThW?Ze8k;rUR?h(bYW|r4$qyNotGXi*9M(olq2#qAD@6Mi?>HaeVgM*#A7QVhy+X7@+kLu=V9){x3DKFD5RJrEU0^*90%mn@Z%bupi zHH!5e@Cn1rp=GiPE^X}y-`gHgbD9XQYeW=<&>)B67X7I1Q8kfoSY z+$RNhfHI*Bn*zM&go+3VL;<9yWn={C^YR5vG*ijY?mcP8a{l~zqE&$ffXhea9R3Z? zo1U53mTz$C^qk0mvsBel{3d89XvPD+SNl^2hlgwNdOcOX(i2@z2eIl}Pjm#@&bnvoKFN;~p?lYF3sav_>R=K>$%^>8U$K9b5h1pkRQ` z4B$bjHgDdLOLH6u7HJVkxx}_-_IO@LQyibi?9f*HUX$a#B%BhT1^b+w92N=pyFlE4 zhY$FqRFsuvxngF2e%J??4DxgP_H7ETZojxV#;2D{ACt}Gjt$>;(xNGrXLNkrVyQW) zk=o(Ur0)E}!dPcsxAu1D!MboFWP;jJq+Jk2X0*DAR@1z zkh_z9tTwg1_Y80Zl4%yIMak7pt|rU$symZQP=gA~%GL)A+3S($CT-3R}+xggq*{Zur9CCa*z-8PmV4oG^qwi?mM?lBS^18$Z>l zze_WR=z@oiyUj$NS5>9KQ;YyJ;&e=I-^9Vg6OL1$`P{aL&t$BPz>OnEjwIx75;M5) zFP(XoU{2Dd&kiJ06kWJRO)*3#1_z%%@wIf>w zkZ_he4KksaSOS2Txre=ri}23<5`Cy#V$AC|j^b+(+KxDbNe>^MRaK?Znp0O(+X>c$ zdUzhmwNh|fO>J%eJ21m z`Q~eJi2=yqI3Uq83tPPbh=G=?ps08UDCE_vS7h%H#kJ6~0j0BtNwhc(H-3BJcnixi z!nseNICy+y`Po6>+S;0$+c**QjEn#zM3b%&||1+Xw2qETcO|g4Gva=BlMJ5(*uT?0PPx< zMCL(Y`yvE+Jvr~5yl;vg!bB@yU-$Lm;iE^3z5iXu8N3ZW@m!*CDl#<@uM2fl-Q7h2 zibSzFSRt^+8sMYK&r`r-kyTZ`mG#-`oYM;n8K4BZ5i$FneS!ZWZ#_hS(*ExD{`W_~ zqIoYA`#LZg&Pz}BB5}|E`g*duy&6eS%yT|lTvGhIv^0JwEG!I5<(g~`hPoT7P~T{4 z8rnQj@$vOI5FUSL592IbLTF~<(tIR7R_VK*%%k@_`@yT7d-*A%lxlFghHQy%v;XsHy!_LATOGL_Hl76ntN^uB@r z_qNEqY0c96K-EP6@3AkX#}RWG$f9_aNQmk=`@Z^0^`dM5~ z&kE{UV`O@_hvQh#DDLi__p_ zAo?BnB{Z~+z`Vf#lKyO;9?ORo?4Saf!K=;mz1{fb`L(7nCZSJVT}J>Qu|RVZ1yzC$ zeQzWh(zUoy+G)`=fe^oeOM4YPAEG^C16_cS+6UU4%9D`%i(Mx!A!kG9S3kfE015R) zQPg|cCF0bRm51QD{e69JNbR^rGd(-3g5wty9!{hl$bm!kr{}&~R-w|yrJlLdR^e&` z>9)g>KE<-$D$Dl*vHRLex%kH8Ww-C#afZf(RrHUI-2=tE zIbL9+nwlD@+j~fbLKjC*4?oUEPYWc@7%_?$c0_=jzF6@X<&ktcUX4$neJI00XWp{| zkUsp=Cv_4&I@~{po8mk?fBHUz_S*`@vbnkWGcvrm9Xr+tsi0tw1QaFoFWvx}97B&# z$f8-@Qo?PlEdZzmXEyq10ysEij&zVk2vf{5v_#v+|1d)?gmQaCC18h^$Phrd4x*Xl zuOF{G>dgdE{jIz6S)qV6JKH`$p$4zk?b1i-doOdV`ddl;MYy=x-s!d!Pi9z{U?GiMwv|BUSm8`;1rN^Au6X4c^|~u5?W# z`XKxuy%-}@(a95S3R%Zjm_T5e{8G9-LA4HvpL*xcEsv0XUfo!XKz$lITNfX{H($S8 zHtYPuBJOnFD5Z{zoAmYdXXl&O#r@exZwK2LkDvumB3J|}MBne<$*BR|jg29|GbAF& zSL4;U1#Ex_cNshz0@_*BgZui(M^u|OdMwW$!*Kxq_JN%wOjxdUpM?;Cm}B6(l7vpIk+HFimKFojCy}>xpBr%L zzu-Tvolms0P22a}y?ggG#0w&y03(dYH-2*%sM$(7H+U3^7vBF)APbse0ZDdO%zA@T zR|KqbrP3=$N(ovK1r`jv-kHbL$w?3ejVM|Pn|ZPpc~l_aHm zWo1PNdK3z)OpX@$q})qS6V16Jo_d!k@fZ#!tRDfc3x?oYSC4LwZkk*bg-S}E! zU5&$mZo*Gw1qzz|67fXC`TZ@yCIO5|7jN|6z7y#HJmc>=Ng7^VUbwow;0Si5*nP(2 zDry&UW)RpsBnK()We4OCtb`NK2!0s)&b3&PQQj-B>Pgo@%DdvrnfP|eg_jq{@g7yH zfA$d}79|~1*J|}+^Z}Hx^5%|CXDG0m2GT*Kywu4J83sji2 zK2Wyj&~XA_;}<$Pf+z!lka$0MHbc|L@R=VD50_TEJn+Q&t;Gc^B3 zo~T>v`a2jYE$Xu(isp*ufxT2R>My5?&v4KQcr7`Q?ooxyF*Ku~3)2P1?rG9~^5(+_ zp7(;AHg6VeY26j2bUQr!KN%SrZoTI;LPA0a``EmNw*c#6&OfKY$IyjD|3BU{nOnbv zQ+vxKq_%;{$uQ_s;Bd(9UKwoL{7-}2bxtH}=B%W4m%%=gsg`mc$EmYH&!0`b+{rwA zd-}<%9YF|)XVBbAJKJkINRxMnYwO{|hXcxY?5KJF-V{j(^b+y;uDADqqT+jfSKqd- zE{osa$`KD(DR~D6e!MtmjIzatr;S&uMU@p&)Q#0SBn@hVVr7H*mZh7Ms;*(0o;8+qJaP6 zbwxM7pN`6QIrb1;9sb_dD1cRqOODKD6GtbxXI%<(Qq_?;sAk=%RH#r>A*&p$HaK zOJd0&1_88Kh=g|fV#H&BRV1`?hkB|`LS7Ei;xhkU;fjsZyl^2w*qY9?F0A2sehi8Y zD%W`F;M~SrN*uE3X`#=lGtWI##@7lb9>7`QHh3N;96-1B{5lGm28<#9Ba7oJW4vu} z0}PCf{gux(VC|LaN>(>X^h=GBD$N3VJxqpvzwJTyh z5XA}n#{LT4wZH(54)KagR-7h0JPg+BRTfumY)tL#)u7-4g*>b)bby@&g`ae%(2Fnl zEkeT^=|b0f4>|=zO3VdB z{ex6WG_a76ch%Lm^vb60(jK^zoV*{+%q*19_=E&+kt?#Y8^Cvl>!Z@rGtLSKh-9GI zL5_`~mbyAE(eB)*{eaB~W`mccC@BaG3j4hcJ)kE~pIXD|f^7Mwqk{qZ2-GlQpMc*1 zCo^Qv@wz2=VIXe@cKruE;e3i%_0tC@K?*$|))TP`1}FeRQEAVbqlSi5GLHa%KrRne-`fEwj*TjG{d&U0 z)Z|lJTjtsJBU<@dTaO<ZWoU+wJ|zSqA-og*FfrpZq95Kh>AtH&ymY=b6l?Z=Pj z4bJd!a8Thbe}Au1(==iCTwbPO6(m&Ka?}nD`aw92Q?JdA4)=SfY}E-;*1=@D`b^r`Y$?MTQ<0no+%m?C?)dwM=*pdvlP z4^_$$qZ1SNqoZ%bxdlE+z$yy2;I%I$+XpSdKW>unwf$k+lg9e%s!D zA8|#?xbGG!>8j6K0+!wU1?7>$hiBjwc((qAGCe0}?{2OdHJ;0Wl3ABFpE+};bHYJi zKj{m*L9xX-3J7}gNDpEzqv{d8-M*~l`sb0^tbe=`gNKAdYvw5^7fM3jx&jk4<+rG; zM3zI_k{aM!LtBfM>Lx^kZ{NPXSns1e*3htbFSDRi4K?ERZmJU_3rjOWQa2WPq00(( zbqQbnO#6S#eNhc&xEdDk?LYA|&+z+#z`S*6hgYimiS)nJ8b=T+MX{svaq*f+Po?+EM*S)Wb_F2$su`w){MlVt#I>NU z>_%m`|F@jH99xtUr$Hvo94jk`nr)_U7U?g}49LSeIQqHp5E6(vHVX3gz|Wtte6N+) zZRUS}-*@1^0rW6;W?y}Gt*0meEZQtLNhL!wmRr{!&N=9U<^+-3)&2hc8z>@Z`WZjN zwoURpJULdDS-e~NN2VfQJ~&k*d<=dKbXr^C_E1eJ(BkrdVuxIPgq__VT1z|5ctO6i zt848HU)&d@B@m66FPjou-6~K+0VuUgW9fsljcio@It{}kix$uRlWJ-kR#$h0%8>wZ z`^bXI6hHQgNHJ*GLM1nW2@+Dp3*Yrh@moT#>v|(=(1syg47NQP#0Y9K>EHtrgFjsj zT!gg^el0X(b^?hI$p9zAeAz8BEX=HPyz`a&8Vd}$2TkdLyEy-9iv`{Nr2g&O_u$ZA z7(j?q3|`6eaH9#ue1$s_^?MHPNY6i$4Jb!dnhb!u324GV9t7d=LkwFocjsXp-~c_Y z{gnN%7?TVw=fw(|-M?&!GZ(w={%@)8*I0m`UuE)scwaJ*m=a=}q3D{u@uP(FmReBI za__JTx>1&+pHf*)UFU9Brsx$yLLk1-t1a4|sr`84HgXQ8AW1U;mB~#NRNX*P6Z*c6 zfP3NfSMX(0l6w7cPz{~!FWbUn|MQZfPA>KRmT@qmpg3`27!`g%``2%&qi{44s}_`b z(49tnbEQ)Q42wW-wV;vYfFDu_t9Lp_MDgv6JnWqOv;nd=Jz5`YEvuZp$Q9!?yZFAk z`uPgge3IuhF_R}cFXDbiz5dZf)`Op zQwWD(B9B%iL?!g%@AXRpHDjmtg9?)to4NYG5e~?OCbip8<|qy~9n`3&ZD^w{DbcW+ zIJj*l<5GBHbIMfw*t>Z*xTPFiTsXiAu&&<5QDUy+3?LU7P#|C!7Ht2pF!c&59{9sO zPVL9S#d60*c2TL1GO=;g9Sn)IST3=KaY8^PgZtn?;_HF-3IiT-q9LKpPWA|$u>Jf< zs&>^X{bdV$OQBj^@?0?k!^84WQH5SzIdWeB#y=<>)o^EYbj41>g@6Ckw*X?NsHpE#Zmd^xuTNy(PJU`iiR>e#Eu4&gA2_3>= z@`#9V_g)EVYhw-;W{Q%H(9~l*%uc;3N3f2lqe^_83O9I!y3*|GaGI-C z#_SSJgQ3kG{T2!hS?+s7?kqn)u0GzZdkM!0aIgnr5A-1;XcprlM`4r$1cv=xNV3BM zK4NpM21NReA$o`QLoT7m$3sUXbJ1{d`$0kxf>aYe;;<}kgH|3q8l9|8$YX@ZprV-lY)&u~*-#IF zLU6TCmGQ>-%WNn3Wx3B?dRo04Kr2sWoXunWA@`!LMTP&>%3wKmcnt~sCoL$%7jX;1 z!WwRB*8Z0_O{#q(Q~UQ+uptw?e*%{adT?+Uu+as7e&Lu_2V27O3m%JNfu19qriop()Az9w{@_=933c+zZ&g=M$i%?NeJQS0+$p0qSl67x2St znk?ZV3%{AK(n%e0kf`y$*I@*Q@EbMewXt*aKft>XT15xz?PZh2?%c(of0x!1cn@ zYJ))b;P5wHU9lqY8s&XD%)!BrBLOY^m|>*^#G`j;LP0_6>+737!{zcQ(H=()z3<2B zoTLK)fYG3p8X6K}0+TXv*@5YfWLN4D@>gQK@h}h1uA_$^jY?^jUhlBkXiP~Y1X!nr zt#)YVT?)s^r)OZO0g>-m_kkmJzmyj-CyQJfJuPzQB^(EXuRLh!Bib^@*9)rYcxXxw z+xAw7=mqRB0_T8e9SHs?Xx+vEWLb;OqE&CDcf@Y-rSmZrE>-24Ia-XLS;U;oGP_CB z6Z$4RFG<`J)#iaZ+$7=Yz>vT6LyVS6E|NEmZ%@A{pWF7Ez$)kz5iuY5`A}RFu^VD{ zbu;BG1K z={}@7;6Pv=234#UT{5Bn{w!d$0UZ}eR-)Yji7#EoWJ6PYWLHM%(m8H^-G2K`q-b*| zx6#TJIO!3!Myy&kNt!uwsp@x=lA1wGu*Y73-Ei*|p{eW| zrepW4xY+dDXMyQ{F)E+iqYiR>QvwceD1aN|@&xb%YB=Pdi_Ev<91%wsF?>7!R1Lph zE2Rh#$M_x9lP6DTdrximr%TpXREcf$|2tQF?%OV^o5bBe*^_o&xE19cHW)OUb~m5Q zfCjsS@=6L7)Z>IJRo3lC&{YTf`4Ba8kQLc_&x+Im4O@;E-!_)h%)Bnv%D)@~Fg!GV z>htH%{5~u0Ff)FHD6kdXI3NWwv;e?9e6<;69KE}vHEQ`XCM;fFcl!R_)D^OTKRf2v zDq4Nq1{GQcKe#1p&|_tmmagKXyCpmf)Z3=E6MM-b#B)6QCdUWsTgw40DeY3+&Fz65E#V5eF|0pXfE=$~e-4$dNFEIqj24UcE)44H-nizf} zjd=-4=h^hLLBmc<(=5RgXVA5c%Hm~*nx~p5986|w(C#735-!Bpyj$nRi9;ps=Ehy# z?mK?it1AQudVkRhKi`A21OHBcUavY3Q;v4QerVV&&NqLpbCK@vmMw$mW1=YlS8xJX z12{YZvq-8xkNrT`IzPIsRDNijCV!{Eaoak$VTx$UO1W(&^j># z>tFl{^KFgOY)eZ!qW-D){9Dit-yuHcn1LZ8LzWs;GU7FcQa-g)kFgaykfWsxHjhSA zAJB7xXUc|+8#{l5G!N7Zzpbka1bSlkS*MaP(5RCaIuvK_*k;{ZN#yE&2=C)Nb|EW% zSa5%oyE`W@W0QRfo6o9W#lpDtkhcbA0rbiuq+vM>9j8XaKs7~*6&x5E*gaE^N|lU! zhyHib$F(ECuu1fyB*%@Fg1^FGrJ5E!IY|a( zJrpOWfJ5rJI36I_aUkm7_KNGj(>2C|k!(KYY4c$;ZN1YHwn|bkByar5_8;^;jqV<4 z7w5n(ixbu2(jOcdIRXF;swJZM`&Jkk4#P(W^-9X@+IP0#%IjI-{n`50Fs+8Mx6|K$ zu@|68$5hDnrs?13FJEo6?j1&t9sVnnyXgLv$)4h)=zy;oA724Se*l3KYbgfjX6)7z zNaN|Ka31G5cLmGM|L&oG+q*q#abJboM53izdSM|-Ur9egc+OHY~28)G-d z-B7AA3HK}oHb#vS^_=I7;kvjyJ_qSwWA3xy15xvz`-mDfG!&ijaupp*NCcL;=CT)v zF=WrZn+&dm6<%(R>bhf+FRr;Zs+A4hxLK^Z)Ncr?mg|VbT8D* zw00C|YacQ{b}D2KPYA3LILKlluNy-Ee-1?{(YB>CM}qVE7Gbkhi*G{4QwGbgsO^kY zKxZ0qxCM-|32Wh}JBRd-+#mk>(zdJQSmO}YHl_z=Ox0P0@u5)B?cJ*clvBLIn`mNZ zcRr&rhK={$9_AN+WiGZ~g|wWo=UV=StR0@7p5NeFYMEVSwEp^>hc5UwYMrmfnYk$d z`oaGGDEqmm5Wy&@XICCn15q6YCiM1RmGDq$!`_rwbunn@Gl*R6_>@g?O-U)JLc~m= zOBHjI7@1nD{#XWlWr7Ju6kA7U=ccxd@$qqGv^VCSaNo?OJk2ywL|qsq-0kqIJ^~?) zu1%D(Nbh=48orUbjRAczk=a=EB+sLGLn9aLB=#WCU+37Wsjwxx7;!XP%>;Fy%m0HH zMevExeLaZ!6x%%VU!F0$4P|y)0DJEc+>fcvhDZ0G+c1uJJCE*If`F+)W;gQk%BRM9Q3G&?){uD+gATi^^+l+@A5N!z)n(PVDGsa(R)mvQ&6Ur|AF%;96>;~|j# zP+uB55_2*#BveIx4&y_y#?b;-n`C37m}eXRmi{ z+^_+bs(&30Cr5;x z?MZj|UJg9(cECszq#bOf91)-s#8)w~qeQIxqfkwFZa!EpB;?-AstV3XRRL;;G z{QGlqGU?g@UF3SizQXfo%>tsD>Ml7k$dG?)q3*Nfq!X#d>%^sNOj#_^b~lAAONy z)i&+xfqx~X8U9LKS(f<7C;ZSJBGJ7^Ob@jtwNZjBkheea`D9fi-mkpXfLCQvZ@hqyRfRGUJ z6rorPp|wsGMZNAvQ5VJ<*RKG+b@ue>)0GWi2L5vF4c!7LtCUXPcsY)*tgLEqG3cHM zW~8D7vI!Tgg!xuUNvZy%^Pe(R&*xX*t|D$(U_{#=uM)ru0J86L#i%AqBmg0KmpT9s z(7{k=AwBOsdch7(PRm!XWLSFt?DpiK-Vhvownk3TyOmLh57DtM zVrNnrwk3D!_@2<>hxULRh&US;QJ9~!7FpMR5ZDDYM}R*P4f2`{yz!!LzggH>4eY+X zc&oqVPQeo;!WaJY(g_}`1y{a4L zS^aIOfKDk!6Vd9$3O&MJjI+N0OyM|k1gb+VPSoG|G5WOkVW~E8yciHQ_`bR6RFz>oemsZEbDvU=0uFX+uIw0?&2$ zwd}gQx*|lx*oBVL;xoK)gK!}m#~PeJyZ+L5WocKARw5rSH|EEXux3knyT2|TP!Fkr zyUhG@?^P%n*w(9BM-B-H>;e*<@~MPIBxF)UjRllJ{X#G~7 z!Z1l1p>IYSwD6gln44$##P#TI7KVG9!8%ttVGa!%t84WU^ByRa3d+jLl^pTNCaDZ6 z?u$}$u1iQi7y##o{U*H22M;&i_4I*dPo+6#+91d9LQ|DNrw=Gc6M7ZKX~F>BDi;5K z&?|Fan`A=Wuz+p{(I|>IROo`SN=;>@xCB6Id6~Vdtqz^rZjoKmM+F5nS)cdAB$6el zK9=s=`>5)&w|R6D6I@$}@c0wgE z31B&Q?jEUKSg?_ml`Y~Hd9)SZ#m31QgdTzuAQ#3f?^(vRgB~LWf#m?CW33IcLEgKQn#50}~n^z$BPJFpzrz)d?n$l%ODL43aje zFfv||@I8N!9{TDer=4{$#(>e?t!K>m4P1lo87dO~-CLD1A}D_B*fF$`h%|*QQG`)D zS;ZL67TW2Co$4R%gClsA26M$Iqeee=q?~}t%)TcS0N6X(>|ZQdlZ~5cP8%Agz&P>= ztz5h%rWP*R%RwkgMcN=70aVucXEW2KCpvE{7A6FQP9EiA-vA2`tXbfR^2zircxzk* zfyo;<4;Q>N#xW8Vg5+FSScpecOrzt_#hnktV&~8OpFN)%d=iyKq`gf{q3-T46t+Et zj~d;$UROqXbl%Y2KoX?DG0g&Xs2_GBLq8ayezJC|6cf_u);M7jsOza=3$~}{wdGFp zCr=CW)NjHH_@mNW#msDoaiQCZz~taH70Q>M3tTYzHWqJRLHbtWpuT+PL zIN-3RMj59zKpc0R9My15ed{15F}+;l-Mur&bwSi=-YVHNh*$rGAEx!u8Nf+%g27WF z{3!JX#RwLe$4}3sYsr|Iak%~d*3cdgnH#di<{LL|5Nj=7ze>;soeq*n08uhE3?zJg zeTm8e<}}Mg*{27);!W611kqiB!s-WD1ho<_c!BEnH24;XLkQV=baedQBR|H20{Uxn zVma(v@zx)l@2;aNd;I&u12ZZSY4D4d%x|6?1DIvU0hrceLi0BQZm6so3b^zF;kqOK z60)TbY4dDgQG>^$JNtVyh6Z3YKo*s3`Z=?1&TCjnM(4;pAFu@>=C-|+57CNmC4TDs zll=TfkQRt1e&Ddmy(8MR%q-2Ib8yx}g#I66wDy6)0n};}@yep;m%~UHd)6wkZ)_|W z-j^9C%EJ8pKvdoJA~Cx`Q;_;Jt{F61?KlAQ9{S-|Us>-zbv+DLAyillX#RORFfpM5 zzZ;rjlejbk0w?K4z~utE*rFX$Ajh5xq?UB*Mr>d>bB=zb=B_e*>1kdzDq0L$H%K&~ zu)(jGfri$~%3KS2Lb;w#MsAWRf)ue^ntFE_Y6wz*#w8Ix1{MrK0ryM%hsJRqSonBX z^4Kfyf3c8y+c0JnPIDMWYtlYI82{8sUQgEq-IG{bnN!07lYz{4x4{ezdj!`rZXQ$2 zZ()#B5I8A_Mn<=sa#m_kc{YO} z&*I(;hI20;v+(a$jx~oNhnOopRS{H>=-`Rofk@UW3s}}q-5o3kzu={`dz&yO^8J87 zK}>noMPgur-T+Gy4Nj0OdlXxYG7-+7$2LINFLJEjT+*&dtJBxj6YP5T z+X~nNV3oXpX>JHm&8Whp=ArXb&b(8r@Elxe>XlrLYZo-StZOlJIIC6nwx=h7uxQjR z(l|mluLn&q#zIkKH(2s6r#-HrK)kN!->3o~hN?k9jPL%Nw(|=Lvcp(|HPQq(>4O#yC-Aj-WC@nkW7^DK#N?@hPps=cqy#F|Vp?fQPVwu%VQFdDSycCTUiLK@f zb?{+^?DU{MQ-Kju$Oo2a0uUb}GJP>-OjYmi7cs_j0K^}hXAUjuWuRg;fash&!9fH6 z70MUzq$xx?yw8K_>1nX;a@XLz0Mn+`(*)Ap~GT25&ZsDziQEOc+<2OJo(KaB4 z^@04MCqp6@)0U|Sa^_l7xCd_4ol9hMTHDC(&sM+159ebB8_3ecuzPpFty>#S3UyfL z_tDb&!Q}_xrT(Jd2x=x=;UesXdu63%R7D>z>7bhrw0j79_}=si+(!tuNARF8E-I?2 zMd}t?%wX(+bcTK#!24nd*H{tHmb*WG4k7bR_Es61YX9;LzI~ethRL%CKQfl~=u4Q- z>Vh_^R7YWgt_IB53X#m4rjq>@_ffCj7ChI8-RZ$RWyHza`2b{*+wk;3NyS||7;E|S z`+F#8YDASKdf2FF8s>nbr)@cI=g}S6!*ls|N{V5``}yfVN?fJOc)Z z77kVbQ&z3@tln_gV@>NwyA(#&2=iq=a^VUT_XH7}*e|lg28lnF82-Jk^T>`^lZ~#=Q`Q7}pCQxc~a~YvP3i<0GbQvDmSy zH~3mSxiO-CTx1LXMoNugT?nc* zLA}Pf>4g?CMMXv6J7xzUJpv(IojM0Zs*#N%CZ9=wC1UDoYMudV;J%(3Akw9UZo}f3!K%}^84G*;69NpTwgC6TF&>1EOvfSo{N)SX zo;|qv=si@AulKcqgCM*SFPWk4*|xzT#LWBKTj_;EN--{Jit7HNqGA>o5IAC*LphpL z2A)xH@V7NJ#H~YeDWIN62&3ovnj~uQVJXaDN0g*RP-Mp?ntMJdtr`fQs3U_w#!2Hozv`02D}WO#q|$_R=j9 zY8nP3PNN_J<(+{T;pgXP`*cJwAqU&>G!9GOr-qB z@5^Sbz$A1O=b%tPWF#K3QCvX+I*UsxiYz`ble=P29!ER#7>$jMd-lt|e)WpfJA&qL zc~SRFZtoM#ML4m3iiCo-2|)DXS^w`vRTzrEWEL4}!+bwDN~C5^4Y)NxS37=@hH*C^A0N3j3TW_C zTdREX5&0*Uenk!%pM-9gXmJP_bKawG?P`^YjU`tIkSQE&?CRAsnp`osTPO*x2r?}K zXE1I;d4$g0)lJ8Fd3S&`z~gWlU4Td9;oVqo8b&LeY3v*6zrgfMF6F^|%{1m=f%~un zkripTVcCJ>oU}KwMRQGjRc0@OYU}Cq8)(w*(8NZ(VUX{`@WL9$S zLlhGuWiZvf!Ci`X(xNkr4f0v~Q&Zs~u;_7@z%U359nLUE!mLJ|AjHHx?T0}^DBytZ zn}PG=6B7xF!D)``uiFdf7ebRf>b49&{n$Vym3_@2?0XaaG;ea8*dVVjjChuz%~ns{ z0DhH*EWxy=Xa3J0(lA1wmg)akn~_i-lRMg&n2@)~ygr{{51} z5SKZv|9L}3uo#60MQ=wbqpix5vFshX)3~Gt z$b*`i8kX>I0Li=pCXuTQXsc^5b;G>&@^DKF$*;vtq%VPOtH0b&^iM**D;WuqpO zm-ze(n076wyU59ak=ihF5HQisLC3?eP3#_Ut18cFm3{ZAi)~Dzv2`<2Yfo7Cl$6t28+Dm@XY%g0hBmKL}ikQJX06%8_Hi zzaLzHCC~`vN>u!#B0q1~c zDi5c|V=8jv7G%7H^Ibr6$ZvIc7R<82N`Ns<6z9Y~a(GYQm-{mjj_2$+_dK+_v z{T^rZ%{gwOd|Z9e?qt~rMvm?ti9zor0%RGNut9M`;-8tGW`l_iGnC+8Fx)9*?k>R~ zGA{Q5rl)0P#pqx{Pp&6` z=oyY8gn@m086518T#4ohgaPw1ka>pe&FmKi8oKeDaCpxN|fJ@JCJs^g7&{4s3HhD}uS_O9`9Kg6gG)jpEiOS~0t!RX$;{-o3bYLtx z+QvZhTM{%+XMdsQ>ZBa33ZOU^!_}QLafW(Y^H+|wHI|MTt}y`K@h=4+P&0=C(3ebU z;BvrdYp+L`e}@GQ2uA*z*m=V{3kwSv)VtJTjGrRoqtpG>oq>@Mn*=b_3htHnCmHtN zzLAmlz>!3GLQ9LBC|qzu?AGDowHW+I#~C+WK8^_gX!Gso$qaJs0?;nG%&5b5v#Z`s z4*K>Ra{P~rPtpEAEPV$!*L(YaOC$;zkupLE6(TFLM`Vwzk{KnWvUeFJTPQ1AB}9ip zgUHA(smLxeqC~|1^?rW;=eo{yJ?ESb-|y%19{2rPca&kSB%veFtkt=NiG<6J9@`bq3nEAQUraGv;S;L3mY-oHS-tniB&$}&fyljJKn zfyqEIhtdKo^9@w1NQr^4H(TU(>|V&L(U`d{&7B2g8IGP8{RkQaJ=j*j8ahI|c|HFQ z{H@sIuOWNf&>Jj?1S@D(Lhxr{eVag|NK!CRPwN)wazQdm4vz0Al4~nnmL;Wd^KTAV zrpPk%3LXFQ@^IAnV1(Nxdl|zAAxmE}4Edeg{(4T;>i)ocOOf>wC8k3_$!z(*pp+l} z_N@t9l6XPT;h~?zT76tuIX?aD>XxlHIK^jj^rg!^!o%s{#P9_p*4sA*DM8V>x;_1-or*2%;n4 zETmYnU_(*G0~;WY!VrMIfW62`P4GZ#AC0v%sKD@ zr<;6AG3_G37PiUi%Z-Vr$g#*rOG_RxKwvxp$fCzk?vR@kK!cM-)C}%3VgFTeuZ_%L=75CqBkZuCY zCEXU9s$BfVwtf#FPp-}kR@QEuQ#fsi0s(+OI8P;LGfyvGSIqmk^V`C{&VL?vSOk?r z{{AMHERIbqLB!;~fg++OBG4@Cimwj*E-30oP~i4FFpEbI?D?-9^(;Y35O}ec$P2z8 z05NNVkA0 z0WIw)v6e^g z{isv!`=gim)|rNaRjB)+)KGyqVsE1)0DGJpNRE6LFi?|9kJWGZz#^rCQ7ZDClEV7b zrd;c`U2R|#r?qp;)g z<{rnm@{KhXLyH2}Y4Weqf9U15F^h&dYT-Zcsu_ zZi8YG@B>VbC!x`S#z4Wugar~i2x{TJlLPU!BqF;b0L#Ps_e>jy$)oIVzs%oLQUxlw zCfc1GR6jZ~lYV0Lr|_qz7YxjQ9zr3E=jnF&@~Yy;?gT)hyC^9s@l@UgZrr>farn5) z5*4HI82#x#EBz}mOr2-L*ZY)iX)ZpnEXT>C3`qd`*DYs&xv({O`9}i~K{f-3M%1zS zr5o=BQ z6b5I1d2ts%L)x4F6D{WvqvkhtqUJET6XyW2{Z$+tPPX>X!mdFrb9$t;vVCRuR!Yip zWFC5+zKU`R+R%LBv_g)niKyQcYzseIzP{A`kN?TH^a@4F7{;9?_qfJNDn*%j^(1Cr zDmgeH0D1chv}(ku)!BK(B;^H4I&@#RK}aQ5uo+2(;egI^>5_7w-W#Y+qbHANENk7g2vf`vnHtmmf>l>gN0gQ@n>ae7w1Eg$K-cNy6oyD#u z6bT-W^X2vlKQW3EUlDzZ*4FG{$24e804X3$qi6NAHj}8wiFfHLoe#_xsrM>09Y|a; zGFPkESNUz5eS>MGF9mQHblUJqXNge8??FMNjsooCQ&$c+tq`V~^w2b@t7CVTT?ToR z_6@p~KVG-gE$Rj0LM#4scg!$rGfFxed?G-=ID!hWhyO)&Pdr5}2-}F>L6T`nXaTS# ziyTJZzV6YV1Y;Xvp+(8|q-AXwd!eeX@!O%1O>C7)Sr1#VoV{NZWTdXck*}8faxcD3Lq;T_yiOfB zCNbB%cUtzm+c8L=FgF?0?CtW$j3%p;wYmBsL6f22Ass46mH(~T7T#EO;?V7v!(}3n zqq&i7BCA;Gi?MD~C^r8Bc0C*;_pJ=vwSas$A{_(xSVw`nuQzKUs6V&WB{xD9;H#;_ zO#>=)=tarAwEUZ7u0t#0xwZ*H}$IDJ{&bue&mAYaaiyJUY>W z?v^A*f`UWAI-yaC#)cGcAl}+=EX-ZQWd)wvXWh8faVopOGK-4-K#Wvj;z zgZf^CW4i!W-419XWn$?TN?^S@e?Rbfccu|fREiD-F7z8G`ADSzDM=}`J;ch6bN?E+ zpR48%InK1af2gkcF)(cFpkC5eF8?Cih&qFsBQJx3&TBbXB`jP9OHUwKgciN})V(X~ z^vI8M-^#KdQ*b-`yjwHMFGL2Gmq>di>NeafRaa-ztB0-_qZ-_ZP6RB%PYC;PGUK2Y z1=d1R){$$Jo)GW47wlwxzqGDi$Q)JGNu#NQB9l{ptV(xqU$BHowH~$ZyxlY@Cr}cQ zy4s@Jmm=3vxT8g>O(TLiQuDVLkQ(U1@=&0$C6+gV#P+6RW`2XyrMyO>#x)P66;3C@ z8Q}gsf~y!Rf=2uWN7|KiyT8W7Psvg9oUX{Z@1U$OQ?PGcx+^m;eX?LtW$( zdR*cpjd~kq#6+xd+aelB5V12@2t^3Unw~{C#p6)@VBx@>Z%yjxezXv#fwQvx(=`PY zXmG}l<4=FIO0%;4`0m|~LPMjF9&n(D1AUBWRfy0V@M6{vsK&Ww|CvI0p`oqOxvCtr zLDov44K9QQ8p#M`N;|e})_aWn! zKy(@8hJbIi?DG>jS=qUTh1ZDYB6cUF!W?ZwkJdh0xBf`)R_(f|Wst)mtIUTF?;UDpC>XB?o?<9m?NT)A_hQ~iPqr3O1P4KV zzfJy)?2~=)AtUrtthM>18t_WUH_-1A$^}sQ5a0(K{@4wLGl2_oMBDM?=FM1^r|;H= zZzN|~Uyz77zq8*xjx%+n@n=cR_y z`l_sJyu*}DcAh*+r7kX3Lpek8^8k~9bNhX@q(dN4v-eHr_x`iG{8QTRvU%u-hLG#;U>a~(GRJ(HKH`N% z`N@|;N5oZKOvCTox#RnfRF(EJgLr$Y=udE)fz$>3`xdAtxxpaET%BQ(-jJMpNbe3y zyOkNkmc!+`d-+6PXY;(WJ`!oh2q1r${ehog@fVJg`b;GO>*Lr;-9_(w{9mb#5HZ{a+ zROE3>sHi`xKAh$jmoWDy2@|Q8u-|*7ich>nn5E;U;FuB>;qLOwW$rhyhv@h2)y8w^ zsd(Wp-g8g6%qKbh(bw6H^1qw)OBrZx#lB@)mLFuKKHOBYytqCxY9hr3cs?b?ENMZw z=8rRKk^dbp5Uhb|Tb^HCrv^PPcuM)og79&+nY(Xmb3(GVX@+rI%dqFPTb3fx;^C?u zW2abXPN=VNfGvQ_v^4X)jQl_T7Z4prY7zW3c;T~!G3d7awvvMh)c^VFR%Dz`Y+tRe zJAVby4G!PEX?N}&F@`KP7$>sg=1MLmB2W^B4RKXcx!& zmKBWgNCQeS6$QRk^r&ZCT{B$U*A8WMrVCOPo!_s{l$Ha?Or$h|(X$M$)?{{V_f^E8~_{<~6o217F*;-G9A$u`>fD#h*h z;Vsure01q|XtLuUHj2#PGdq|HJ%4y@P*zc=mp|Q}AZ4vIgfFp6GQ7L_Yj)+&wP0Wo zLQiW_CPC0W*8Aqz@JC|Zo>1NAC7`}!u;ETV--eB z?Mar*XHIUB_V%tipODV_-9u48JFMrfq}DohE(4bcTZD4lY+cmN;ambF+6)^A9>n-6&DOu&dnTX=Bm*9aR=G7(AuU9eig9q0x zG+5&;G3ZDY&`(bf5Pk!P2^jzY;#!obh-g?}0e}P`2~a?CdH(Y{8xH9gFFL3c#k`Wc z412d#o`3!0oW89S9jhYfgZT@!8&L=8A*-0NbEs%J!$k2P{kol7>mey{r64pXcPIT? zYk-2q7AO=ULjaN;hI$+RJQfj)rsRn=mO_)KJBH^1Z^|1AW-*-SB{1g=H*adsJJbp=hVKtXqs#;3WZ9m78Dn^m({WzQ5?~7IxM4CE16eA- z7dxMOc_4kQ&}!%Uh1zYok04(*O%&KX!@5esCm!2`7}(CA3N5 z=qQ?V$Tf|24b5>HoqF>e4Xyva-K=aV0vo{hBC3^>%Hr7-TEs7rI6lZ}z7N#M5FQ?? zN(9SALC00*@=+A1HB$1&fi8Rb&jiqemzlMy>6rJvR~j|EeBnPo!Kq{Mmyg$~2xut* zq5umGVs&1~8a)Q&9tIV+=(o&WOMJSKV&muZa|laAy48P>q>!Lr<_c7QD4FdLMnXhR zq|M#Cw+-b1fC@4fL&)O47-&HMJzk*Ag!`R;vwTr=!s@+K`!4y$H-E|a!o@8@&DBJy zw0Se$JdxyMR9{cwtr@Vs#Blj+>1NL*tJgJ8AA}49d34Z?pmQ>B0P#$Q3 z6ob#^-KT2>HYJu87BQN+h{3uE*o#EyV?51CDDV5~0_v*ie6YSj4wxJ)UgsMO)jxnH z?C?c)?%Ahwd)LNpl*V>=Q6-cl{ZlwH1P7zy_3J>K(e}(g4?>m-$$>^`T~tyO9euvL zy~XC|{5~RY_8x@}7<*t;;~ntD;_Vl`y}a~D;P}e4B$Z z(@P9?fk>orr1gST9Mz}YUn~he^fU zTiPIwp)UrLy$@ew13;$-I_~5bWeMdJ6x5FFO0ZY)k4O|NNw< zy7W@A3}1W^3*W+vvwR$w1zh4$kl+Iq%C~6o0u+MNk;s>TM#0!YOHw|udW+)y$wJ2u z>t%NOdc$hu`VQ7$QHj$PI=Q=8C>$yag)V*M4Qyz9algfsQMegLDiEk_^k;yM1>pOsDBh0$vQPR1W6hWAD5*Qq--Ix$_r0#g&S(S~C%) z%Ol6)?i_x?%K$E06^A$;FA47c=rKMjxJd34sKx1!D~NKR@P;^bGnL=Qh0kOd{I+Y| zmX$#_cucc&xPheTKzepUFwtf{*=z+fOr(;I0NnRlV25t}K1w;{htlJ$>b?CA-7FM0 z^T=A-Tohlzlkc}!yC0e#jWY@x_*Ac}i_G2#H8pzd9de~;sqF#Xmc;o#i$_!3(9u z1Am4r3?vQ-VS5N!mGLx2m2*;&n-72mnN$hnXB#y&H}6=>fAT18kgfCz`mznZzANswC}s0<~2C+n?c&_8L?4I7cdOysEQ*$8WV$YHBq*KK1oM zFmp%FLFW#mJ#Y5s{JEx><^FyA!RQ=lkK?)oF3ux6w(7JWPZHr`emnN>&Tcja`hD-PchF$xqX8oKA*%B6V=YL!BC%rt z#{?kvKuL<%MFG15o+NjbFXx2DE~tE4ETR0w1e3$4k_e}bm`4D6Z;d`*LwM-IxYVXI z7cP)-ZSXc)o30^h6FE#|auguNLZ3SS?F-sGzMD@_0%!!eeZ;nj4)@HB*RpDiVJGPs zsS7?xJAZJ##yRXW!6^~fWt>YzO|8$=xw<_fNkVhW$(!1y)z`?7oOi~^y^M~JhXm)Y zLbgMoe(HR~cB5S3D150K=WiK`+9#Ig>AskvoEzQ|rmfxC&gr3@?FzIY1?yYXbJEar z|JMglK|B16<1MmzZF8i#z4j@1Vl4Z71T>H#fVdEf(*!n?iU16U{b}}jA6VKDIvN3& zD@t7Z;nBCs4F@uXEND&&XL>ztb=A>P`1N(?mcgC)X7ns9e^l;CAc#lZoHADbW&O5Y zNP~@1wbUj}#N<)unC*cUiz-#rNGoe?Yx@a7wqf-q#qt@m4@Y)wnfn*`?WNac`o}`X zGywtYhu$Q7o6J&=w=t-d)nYmHrb~1s@H-lK!m{A_qW}Jl%XgfCWJL-XT!%*nvH2z- zG#hXy6KZS&sylApeMs@wdg!+NS|+$|VrRkqNiGJX#_&5- z-{d4b+LJjUL9gF=DC+>dLH*~OkboXqlt&&VwG(xspou-wd(Ia-8Y8fpNJ=493{+QR z87jAFeLiK25-cD>w}f(MUqNgTT&Up<74p zt97G3y7hjDa3U_t?p=(Ux=ltZlj~$J_I>(<@Gx^^auHb{O1f82UV;tzyExqfQNy?X zqkHbZkZ+aD>Un5Y!v_5a2}ncN0Cu7^T_(98oXY4;v88b0x_k}&6<_gCO73~zTXbK; z)VVk2#zFO=`|$KpvSk4KLI42;)WWZi9-qG)N0?fH`BM=PcCC*;x`Micoyw;1-M#w8 z1{9xaQOs>b*8;gVEF?ru1-=mpn8;M+WQd~wKAH98Aw}+mm)W6$5~_S*O}bQn!8F=p35--2Lg;*0YOePw-MnAhkD3s8Dl-f-hulo8y8CH#4!~5Qzt|Z4S#w|wQx2FjTYTZ7|l_~71=1L$hVK*=>u^?(K~|b1{Y9PalYEK$_u?7yE*?a&ylER;VMAX zu`LOuQp_Yp4#Zeq?o4YY2wJ?4OPshgfiiO;&gSXGz4&32mU0P9QwoLiMKfH|-bIsZ zdR$l}eP1Z-G#RKik^Mx3>=@w-RVUCHetz{D$UzUBb98LNqyFAkdS9?}+?8CFxK2SL zV$R2lJVgq&_a&$B^bSi%@ZkZHcUI%m2XS{-`r1+anVYx5cVt zD4r6b9DsF6G5EV~{4rWPh$6_cTn*bkJ5YN~R$*TY)&7QYE6VI#tru`zyMgBboR=r;Vc_4ty-v|JD>NVX_NX}p2hqHvUJ z#A;?KdK$?oM==z!c~Xa+pQc(4?fXa3TyU5!qT@sNeJD>zPAM*MG(i}gU5`9TpPl>Y z=$Wr4RZ4t$=6N4}Emr1#w-9`f+83d9H-Vzi(9k-4%Ag(=AnT&0h;s&PhE;ZVxQ$NhzWDw?rP|I#4_I(|X0a)Fug` zaM7S0{q3}OZ3#j&OWB1_5?~MYs5im>kZs(S3fbNcbgP*ALh^KoZW!3oZZf)a zc!4UO1XV$^w(i~j%T=*(3X{5Uje_T9)71`zc~lo8P1EH9qSg2w2`SxI?I!6z;MRLeH^{T0gC|-0 z(2;F}eyzeB4$xhDSn{o?)}n*5=-+BYkT;1044g#C-^JjbL!>7ikRM&9!K30i*)?*! zkt_%=pl4uNC>#EtXF;+g9C z`41ICi1W~E8UsvEMo(a9NJ62{0o2U!iVQvRk;K`Fof1Y}nQ*Z9JTEg&L&~c=Unv<; zG)^NIp{qWEr0E+}-OtV@o^mAZHbAFcGqiT^7f%@w9ynJY3$0v)gP$z9boqcCfo8GX zhGiwd_r|dRjxVo_eE+U;UQ^VjG!!pM6mjyN?A^$k4g$sNhCUfe0t6mrLB~K8>R@0W zBZB6n-Le(5oj^dkAhh|N^##@r@B+kNFJfJzX}k2{r!#I$%e|J+Mx#ag-+1dqIulq3 zyyioH?~$NmVvW$J5W z{2ejZ1OEl_CxAmHc7ckIvM@V9zTr8fgg6(BHO!7Y@%P`=TWP1E_r_(OD_z4V5M*ky zQ|~l&cs>8Gn=zp)20afBBc#scsr1`ul9>qL4e-KlOt8gCjZ|`q{~LJHhXFK1BZ5t^ zZcQn;hwPS#V;rs=90|P5+#1?jbJ`NHh{rkRyYyIf-q)4Xu<)Zk#{S=cR<7}s{J)%;Z7Hd#&8QHe6i^mPJ_qR)8h(=Q zPG%yZHvDkx_z!G_WA8F<8)k=eJ>h3?V&FcZ@W>&M|2W%p4-fO|nhaR~E=O5}t@tbo zp;bl?EP=7scOhxOE+B@of#U_PIo2#>_WanV_lEdX`8e|!4;tSDQnwcy7s5Qa)Q)>rgBCGa@M?V{rsmf)Jv~lH_mk2eCpxv;6Lfl z9A;8H7Ns0!2QPk%!|gI=mi~Pf15dW|J;aTS56{ z=+A=Ef*_mVoFV2eppk^lfDFR`W^@?tV|?FSeIJAa!}3Lpg*4TOIuQ2CO3l*3saKoPdi3S0j`2-j4P#A>leam~K1{0NX(j z&ETXm7O@#bHUSzlRE?0;ppPfu2M}~y*yIFF{BdiaMf#CNo!e%iBJLzR?l}8k^SkwgDy($0SPuno6tOu)#7 z-X97gYQFXd-tf{cc`l4^>W%L1>^uuOFtm##mju6*n0dgxVH76Zzmt!FI&ESa0Es1z z{71X41cA`!w^iS}26NjVT4lOB@D^P?pz4#g)3&y@IIR@nAVj{?860k8s3NvC46He2 za@K5mdg~?IQ3Ak44kSI8X*i(JIUsX1+Pz~2vyGrL2MC3jZPZ5m9XlSNXT^k@4YA=- z$s+q_C9T{>W0QjWymnRm_+dIdnlR!v&b(EAs00j#wDdK(w9-o5)3aj?90`C{JsUM%XZ5}zG!z0T}Z_p42F;T>h4x=Tpn`1?$NO|yOn$mcAdjoCz^>XPh2S{h!^x4J5Eim0> zX}jk1?g`}NtbTkuuDXA<(o-v4#@`HT+9A||l7qglF)S8&9tdL~>2ZFEJNB;1k4QT2 z+ZELS=tS^p3`F7}NsQifA{~kEgj!~4y&w~5nT5@{ugI??tG<&Pr7tl%7T}*1xiPB2 z2HQ&$q!_||6amY)4&3CVf@bll!VXJj+~q>2A8*ief3EmRlTXEcgr~B%Sj>I2$#?cP zhCl%lg@kMiDhvg^G*^hgKo0<~-0sqytZ4k>HnJj!LJ|!Il-b;k&hhc_X25sJ95a-{ zVczNRg^aw3rpQ>KV}20czHr%LX>NA=XvaUIktQRz@L^7(UqRFN8pSjUAC^gVOGI(l z&D%C7ika~2+qUU*RiK1BvxsR-i4tNq$Xpyu7ecrpvo6gNswHLaSpL`hYE^j{B1Bu3 zFlC+c>&k3h`)?@h-=nE&fgo$U(ftnq_EoksbJjoKeCldbtAhIiDbts@gdYtooamhHUbCA=<=txQP@kOcJn-8 z4|Kyh>Q%YsFExON<-IWjvVim&xIhG2u9HL+RNlKdI7-y-u5MZ4xmyj8o1Tp=5@sb( zHp!kx4})L0i6GmA4CBHsyAD4n zkt0I}-n=*Kl`bfTty0H07prz|v}zh25F2UaFzWvam1Q=5(Z|{r6nc{iXpXM&TDoW}A zJY&7uPp`;P{HxF)w$A5%$90-Ho1SobLA$4Rc8mdJoC~=qaLywNgR#G|Jq5oP=%_M$ zF10$oaFCK~0P1K#4wJD^WVZTw|5082A+jW=nw0S3c6UBY;m!bbHJ}Qx=;?`!6FVjH zxeT(*wuq|)wr}RKn!(~$%)Nx^UIkd`m8H4{2JslcrY9i(`)Hi!a18HMZb?bT)b8Yz zln7j0*uW^-eJ6`1f`INBV785+w%7MtbieMpooi$kSoja<6ag)OH(o;R!p+T%*?8Wu zIk9-p%5A4B=zOYQcgyUCpa$LbLd_|pV>!wsk2)`&lHwh?Y9wx6m`ZzPs`luKmT0g^@=aWWc= zO8ETx7Q`9P?d`tnS${>LvGDrer+6_WB^H1#@26%h9)?apR6rKydS}uxx-JlS2bnF1 zuaW5RnGEAXWowtdjiv}=VZMLJ->DeR@!VH+ux{8qG8hTE_}z_YTOL1tZ1ep!5maR> zs?7Ztos`FSPX;b{WXFdn?w`>yE70`BIs0X1;5$NCb@w_d>ek)|n3njOB$O#_g7dC&Q zki>X9Ho~d2-Wqo<@`H#E5+$;}hO>w~JlT&+OI5;e=NYvmEn6L0<@LkV@jn)~Y8Cq~K_j8{Q)f&@t=Sd!aYSKWD3KCs~7{qJmwTG9-1L zVPu4n0dfuZk7*F|9XEL>10n#vhT8r$v_DKRk)S}%g~`UtY6@ZR@Q6nJnA=Roan3Ux z5WiBOXsmcjRaLcg@vPZ-(f;acL5P@aZIPuDGi7rUD+xLT$W-e3`%9n{<%6Pc zu=@ZSAp9Tqge5^@P)uq|%Zg=GE9cWTbWfTGA$J!Gjh>m=*yZ0t;7};Jwm9W!Ua+^d z?I^R;f(s^n%3dGXC?xg9AN<>f0rTO{AW~#rb{~@IK);&ij&K?^#pN76G%V6OSXx$w za^${g$mQZs{hahs3ke-f!?;I@+5}bCXm#ZKo}SerXOc`KcyzeTX21Kh9sHI5i(7ZEAPeE>QDKR_ zcOG1mwEU7iTVRL0$8Zd6HhiUW(Y7Md+Skh4TN;cQ#xL%-{vJ_MvFMz1y&J+SY?8A$ zW2>yva&@gf&+2Pw6`QU+R^}E+3ey3NgO5zaO|!KtJ22!|TwHwq!6s-5ULLAjjhhWz zIr_mLMnf_u5}=hxdvywg6PUhdGwllQI$Sy1=7Ir6BH(@5wAf3Ci{rM>EPnM)2YxSf znC&K;_@@^9Z=Jh~#sq=J;?D1HBJg3H^+m?fd}bCi55tRpuY_?;)fXR|7GH68yEhnp z4b=w1XKWzD@rwS4>SwaQB=eXc_OUorIamXmB9vcsS^INwa&k6KHQ2ZXO|^}w7@Iew z@FrG#SwGd6Vx5K~;eVaU-q(H)E3A?ArGd~b5|E|(<_$Rz00xX-yI`zvv9wmJ@PX;= zP-F@Qb23KVGHc|;CJeNBnTRJabrDOL2bY%$U8t{TPwo5u5&*1-!`O-Egk47%rMCVG zsc5Nn^#B96AN(%Q8crC0X5eDcfd&H6Rpdc z2}6U+-V=s}nj>?7UdeQoTFpHf`qLi*{1Vz)TX7ACp$x-&ZUW@o)Y?k&XCU_xwRPt^ zmGTPWlQO^Wu*hSa6O;L2OjF?Buq{IBU@pt`$92sjOcRv>Ng_H)HB$7LqKuOXfP+E0 zTBI3l0>*Z3{p}Fs|95qEAG!^4LV&E_6uJBHA3eSBC!VI5Gm9AyhK4_v_L!;Vc=^pz zoDfM~koY0&ROs|E-N+Q6MF{MuxGYpI76WG|At9K-Mz|t#!}Q&FA4Q})^yVi)^+FZ0Baulbrux@ZC02qXZ5 zDg3Qri#evP#W5dl?vdY!#737tscC5}&H>wLX;p-nK{%MZT;N;lJrwDoC^oOj=cF-tn(!!U@ZdWC{&sw`0~WE3ke@uc;d0yjUgz% zr+WB=k0#>Fh@KliiR(YXst!dBdKBFgt4ossi_T%B7@Jplun-)4CZY2l&sE#scn<4@B6y#S6H^v z($XRbEeLfQ%OPvkwd4UCoh~+LmyFNvD=L%rgULDTck6K$7zSAJ{opns1D`PahZ!&y zfn{)<}Q19!7EV;@3mqycom4eBJbbS z!om-2rd}fvr+)2sTFb#wOj^3{^7%i#+@%SjPshWgep?svb5U&qMe+tEJ=Qd7D!aP7 zk?xlTLaF(F8u-bPuU{3Q-9wWz3jX4ntS{848!IIw5(F&S(D)-j;Q`G_Au{`2ZHsMA zK2hqynr)u52%R~ypAk$-h07FBUlcpt?8wOLXLE-)0EEbq&0CYf$pcw8Q8Of#jpHYQ zS4z@6IMAMm=7e;q=YYne0xCq%H~4lO^GY8F!90G4(iOxMQHww(@EG+If*Nn<<}w)x zn!G|777jb0wsqW%FJW%d@T$LplGd&vGW!zVEb>w?OR}M@?O~HBCdR_GvDID5t+W)W z*A7u*Cp9#3crUWEvx%JnKX(ZBv6J_tndIc; z#(ZWm&q;oDZZnbn{ku*})E1V{t{P<7@VYz@dfVDcrjde~W!9uxoR#%midj0=5d9Wp z;%;<%u`6?U*_|C73JCVWl4m(ByE2QoP%`BP2M*S{)M7l2CIYZ0@)+X%V9<$oQ1K35 z9f+DbAg%+}ql$WsL|!2^g2*>ZO&{EJat64IqmE?S@M`&!Bo~4<=;yZRetEx@KC+<+ z^;zUy%T&Y_;f9LQ%9Wj;gF~Gf0nXeN*uEOL3$RRy?;Tg=qo%X$aJ-_ag&yobB$khiwOHFi*Ve2}U64P2c}UJZV5h$4k|H$3dH4MV+h>=POKZjUosaFzya zj2#U+i=02792`_ zDql)*yViC1VaIbHhQE*}vd&aa<_ zr9rp}qGHFJKuTSuK|BH`$pv!sz>iz10&MrP_B^?lMfa-%c!q_B9#UF|ePNGj zNZMe+xaO8WgRmVOU9m7J5|#q+JE^VEJK{x8c)8+2G{ZPuw(o^!45`fq-KaM6#d9T> z<04k1yo;1C;ur#;6o_pcSi+0yeeO2|nx>u(Vfm^sEO~l*jsdM8 zbUKuRT{z2N^82upy&vh3sD@tROf;I*mAUc*c`j>F5C5@27l5wV30?`9z2LsyNf3H{ z{l0RCQ|bL0z&BPaFC4VfOySniR(B5ML@7sb#(n#&&ZMD?>_Zg<`~u}H z&QheKaf779zh@MDIfOcuX!oiNsonHqcHb6~y9Hu&ZmOh?`M;f*l}J)<(Hh_=!`#br zm@fvbqaD~KnR~fWT~qTFa9!kK`UcdY6C{Zp@U9})vU*d%oA!;cGGKYUK}6HziV6xw zkJI3kP{Qgu?fdqjgyUA4_=z9>TSdD#H9H&0p97P)-NgVmB@TClBJuC4#Elhp{rXlM zl0t^u*Rh@f+bi%eyk5B!qe0KxfaJ7hT*V8$gDu-I?HKgz4M5gdXpl}H!K|Y6<9^LJ zViH;Vu;Br4aSqPvBLfWw7+8)zgqW6w3$sviXYKyYgeVv(MA;+N8bX%^gh8PNXT=aM z>`J7zT*pU)12_4cRMuxuHNNtnV|BGvUR+sjRj$4~Qx912f5Nu|I)+YZ;$W*tASgnN zv4s)OoqIQoLN7KJTX-wPrwHyKWG;T7$#+T;Z;!h^wq*=qbRa*r3?6&Yd;jLj5G5*b zb?BWy*ysw_Bghbc--LS>xKI}CrsTB87e=204U7Y%K+sxu!lsUV>k}=$J;UAI-5(J_ z2=lEy-0Om~lYWzcX$TyN)3^~a%Hh{oUcRQ>>4<|C>1GXxL_#e=&%tpDSTOxrCeOY8rQ#wa>78)b*5lAI60AzVDg;$7g{TAE zw_`7rc5Xr{&tKjnw|3YyaZ;k^P{xmemZeBDVjGYFGO!rD8gz0E*z>H1&ul*#ER6t zkZ;(a>{{;s>8dBBg9>i;4!T0h9s79XglVPSkAw&cP*l#3J0I00{-Q5^53DV)ge5<^i+}_eW zX7~8AOlyWweI7Txrr~V*hz2TmDTIlUiWVN?@!dk-r>0s!z96AN6yzSbYz|y+TWMKe zJ-aMb?WA#6c1RJR88-PaP9Bn7gqv0mzsqIEby)Qw>;^%2@Z3oxW_MQ?V(!@>c;iJps=4FTR;PF5eH0XL-l|9myH z`^c}7#JIpFH%?@FkArl;yu46EXaSIi{3h1TX_S{qEh)Qxcla&kn717r9WOdM=nw*f z!ujqwj_8{=M*#<7lduC}LByaEAbNuIB!BrFo6kc8W0;UYTp~Di@~}Y2p2LyBel8YA z9?1d0C&@u$EQINh2st4!0tnVBlFddyTRko|ToxGq(}MW%0$52Z{dtmG$bebg^2Fqp zrE~+Lq{{YztX*3+0zpd>vTWYY!GR)~Dz};I!~4x&65D!SVLvU*Xt4e0S_Y7Wste8e@Js|FOD4mGH4UH&HPDBL#CwkTf zc=IZFoCHLmk$sJ$ioLEK*Ei8Zqt`{m?mm3dx8(?7d4&!e%72jntD0bS?i2dW?1kyW zGE4`Q_t&d(Q*A=<>Wlim-ISC!HYNW(4L0fNK6#aNMv|aFRK9ip7WbgP06#`jalszM zUf2j87U~(m0dufakt8ow)vXLQ3{5v%0;5H8^0^}XZU{-y(`pOnq(qjvqfC79?wv^E zGLB~-toRY!X>caCAU+nYkQJXE}v2K47cMEn1aM*#| zI)@Gxli_!uu|~$nF&85nYZvK}6aZv^T5Y4E;>3&;QZKBX{xeEoL0qki1i zFiKFH>bCkhT_=$wPMp5*YM>Oua=@)jW(Ghxa2QV&i$0g;`T$b#L=K$lEb|hxYt7`O zA~U%WN|*ue6^g2xIDH8-V87?@$_j?AhgVcoxHBa+KnuVR{|Q3db=NN7v;a&o_v^a> z0DWS?1I9xnTq!9UIIAJ|#3kPWlo*GqrO?Nu^`kIe{Ngx9H^@>;)jOSKzw7Y7g4Q%n zh0FhC*Qtb^b+T)KR)^Z+eZjf{W%hsy(H7a|T{?eWFktm3C60Sul!<7s(c@|m>4!T3 znVM{=W6#D09hvuj_@YR{(O+CZLyT*VHT!@h*IJF}{$ld<9-d~x(}O-01P#%qf@~&f z#L&$p%5(!zC&A{JeC)<=o3mu)EFZ=sb@hc%w$KnBKVVzfuz%zg{9EL}FYEj3`%8S)aADQ-Sasxg;dQ6#BM3lEI`>5=}qGE|Fk7Y;b=#eHg-?yOtt0>4q!x6jy|GrLvcY+U@KZ(FcJ{=0h+m<|0JtA z$N>sW);Ed+f;^^(+L6-`*i0i@7PMXHZsObhC3iFKuq>9iaBYSo{DIxhf}|To&pB@- z*v{2%pM6aqwzbT0ND+dE`|}HkepC^JK|1p&2=?67;)eNO7o14@E|4uT+irjchS>l36-Mpae|)yL{Z)j#g#Q( zz7-KOiGdsYugFE)YsyZ4s^pcHJ}sbYfni|Sdr({IMMtQBk(~h8 zE8Rd@g3a8~)02by4;(}{syp@ya~w&f7%+_H6qhUx`6z(B94H-$sSSE6Dq7lx_wSkU z574|hLeGg*U_Fh4KkKqPT2fIAh}w**hfdOF8r}YJ@I&4H_}~@^$ItX^o(fhUnd{1Z zOvgs+<9tQWltcLE=CF<%qL{&(&FdFRob6&+*;Q$k0qQ zgov3Q3aP_;NyQzY)Ur=ktKl9(J%(0UQ|CYbJ|=wn34)@{1iz#jt@H{d_m?2lOE6~t z_VxAW09~N;pTjhcSS&8ceKr&z#|cN{D+J!Sy3TS>75YV@(9L`q!nDKk5B-_c+Xa6X zZp<~aRMSu>Q+=>Bt^UP={LHpe% z#bIX*BfphD3%~YfrX=%n?;BbS+re?^ezOW{t>*EV@f*nKVS{q*$P8*nQn>)I%LJ$T zxkgJ`P6MqHgYDhKl3$UbUD!^G#VRP0uCW*K`CtM&;Dvz5I7xg}iIM)=#j3PHCXR8buLU z%nLzB?bnaztE#Dy3j+?;%+IlpPFDy533Nz-P9@Y14f9ACd1OebL^Y4<*SG_g?(qRF%et{VVpmYdb9MrNt*R zkDaIN=v5nVI;=N4SPlsTd)9*}-2MPqHU)l9r>JK139_ox{0NEU^{S@pVecDI0swAB>i5U{Ent zOB*<25s6P*@L;cL#~L5-)=C?SU_AlHPimewM7DRAHGNtf8w#O}WUv?1|NKw5_+p-^ z5Fg~&kfe3g1q9^A`+#c1xXZVoYnB?MFQfc#O_S$1FWEkbeygFg+E1oqeJZ@het$t{ zjIjCB!n;Q-?^M4a!2SF`pV52Q3uZd(vL1%4roH6h$uDzSuupVd$)7O98Gz)D5U|6U zF;~!BkTDQnAx{&kbXYTIY%Y|6IrzjOYi{Q+2YoF18*Ou5232sj7(U=Hd;CPnurt+C zusIH44EP@~MqQ^E#w|hjo?YEv0ZH z@@tqN18oETTZC(AT)K1^C+~g?7$U)p2#bZNjhbC-v5E|*Ac=~$x1{ZF?`n?NzVdSR z?fO0G4N3-~Tc?kCEDGVq7nFONd6W|UN~Ga~joMLk$37Ko{>FM~?(2y}k@lj0Y^z0I z%cQ(21el``p-Y2i?;JWI!lwW{29WTEWF&xGU^&PKp||N{M|y58nF8Cib=vfqOUrbI zg+JHpG{j>nCROHIz-92LsHtIyuhEPvDRB7@(|Ju5K#ibws#%5g zxpOv=6^q5lS%rcMyIJh)t1U=?i2(iy*d00U;W+Ng0bSX64di1g*g?9>TKxX&%k<1N zH$H@@^zOXvkapz+U#G6wujA-%Fq1nx(!&TM2@-MX*s+6V;X^@dEWn06S4Srk4@yO@ zjVmh#+pw=481F&HLYQpSfXFg}YEK4i1}owd(a0{Cy>Vo2E?fb>TF>|01#*;t4rnBAf!am&-h40NP%J9x{hhrg zTSmv#6ooEdZt|)yzfT{|i!p1*2kjX{zU)!9DJ_$*vw{iDZK#Xawvtvs>p*~vhmz7R zvsm>Nz@+H;+KW$T71F zG7f<2*Kg<0e!3L0r+bEMl-tgP<`$4$JX={^w7)jI%M`oxHK* zpMN#;=cuIoN;!Dq(X(`q^uBU9zq3kkGaTYFpWg$R84D{v(H!SR>-HHnDs}eB{a^KR zSiu@x(o{d#iQtjjKH2~i4rdJkxgB!*M|1T$NJrt1n&gV-Sm$|9@EmqH*_ z&~cp+8uMM<3$E$dAoJKO(v!=$tv}Tw9jpHoG$vogxOn-srw++S5`-ww|hB01?&ejt1b#3}bdpx(0}?f(p_B99#t zTn_-?w7L6w$SQn_Qc$q6*mJS!s@}x5qf@K&0zEdKN<3ZJ&=9k9%zfu7MZf6q>LJ3P zupxfxz^R4{-|4h{Jx zZwho%kFZ2AHt58gdTia^+L}Ep;<4Vl*>bIa&pJj7@T}rTnlD>zL!`Fs4cVf6KHGZb>*2pw4D8itRgh_IZq1~?#p5T!uaIJm$&^L97=d^Sy?0Noq3fYOvWZJthPxh_o_qgAx6r-r zX_jvpNo-+96%LVEc+T>asy~iy`X_Z}e2)~rD9Kbmzwb(^9SzEvA@h~QY@6uru=1*N z_io*&*9O3mUd*i#W?c|{)7o196-*m>_ugY=w_ctt-Z~DI@fDTr>Zkl@^L;idsXo%z zsPO3^h{2^3ha1R<%~A-nb7M0FF^2Drk#^|EuDmq7}3-Z>ej4+EBBz&b2zW`1$8 z@S_%kOf*jKkrk65v25H6##M7vw?DhWmbRGFt#LRXQ%qzFwgZoUslp9MS;jaA-Q8

4yCG<{OSu8;&vMCQ_y{FDn zYOsiw@l&QK5ymdr%6)indWhe`Y3a%Xd|=s!fA(Fugsy~Rp2%#482uDBGOhC?GE~IY zVCC15%5VX-&2LG1h#U<};b`cP1;}va}5qHVyB+)c2Z3%f}^G*6;TZdU83H(L)rN z01t8}B6q%mFf!(s%5Po@twxcahq^%6L_wuydM5w6*XufCh+!vt5B=_Jyj$|YUCqK3 z>z}lIPW?UddC71FxTTw-5WQkzBBcL>D`AEv$ZSBEPF1d8B1!5w0nfs!cSqOFw9Ec* zOz~*8t2H!Bqnt3^kk9Zt1XGIhsDt=Iyc&8+&|efCvpg05312T{ko2F6$jtPv>M5z- z>aueazi^qQ-ydwKbJcs+7WvO%T3)ut3uemyz8+OkHk(azQn=~hW zuV*>K(G>a{`>Ax^ zyk$!$aAwN=zgVdJY5mvWHFhwomY5wb!ZQ^DDh$?#Z{IG6y7>L7jJ$ke_JvRN2iuBj zccpx-?=*JVk$>anES9MhEROK9nzAw@hSq#-BCF=dDx5O~d4WA_117DvGSlU3T*Avh zzi4($)8C}N`)c3<1?|YLn|3WilY|$)a=d%y96rWj9+T$fj=Og4+S2lO9Q2~o6df;D z<^_^IK;?|V#T&}f|J!=(ddaZFu=P#Sa))Deej~3~8z@#*X@6Pr)cW4PfzYUGNZ~JA zb-`0f0IYOoCH;v@C+`!b87DJ0t(|BJc&SEcem@`ullrdm1lH+RsjN@(~ zxm+KaxW!uT(qH$y$(NoPQ%cSqvBx;%TmXAocaY&i@E8S=P*kRj$`pp}cveYJKwxy*zQ%8aEFrrvF zPa9^C*nBG_?k*4auk~XpdFXJqNfJy{zLSXjI-NjcIuTTJ~~O37q%ZPlahLO;t_*6TNxn+UqnTTD<{HJsbH z$g$-b$D z>>9YzXDCL*j3U3*7Y!EtTL?aSe}2vwEl zEKvRBZ?^3@v0}Sp9!DzoT5Qsu@(MFX!k2vnx1E)s{-`my;lB(@_HqIR1w$BY(~!Ie zI2u3TzE@pApZGO@+L|to_F7?I_TyI2`4a;P5-sIdEZE`A@uw=YVsm`VRXnQ49Xh*A9&JA^Yms2jcxr+pCEZdD)8#gU+|6=4_hfnC_aEb*1vf zrsCu|Mon*F-aw~&MEt=-jJc3HNziS+Bv0`Oq%%>*F&rLF(*2J__2jsY<52A$8gpyb zEL~`Pr_;>?{E5$^I)>L&@)^*0_1c;b@sF3@{>k?i-JxKpR8(YOSoa@7n6em1UVJN{ z)#Yz)XfwmLpEQspm;d_Fs7R9N+Fz9>CBt4ezjJ%D?ML@+0)@p4$w21ouV2Dz9O4~s zS?X6qSxo!~AN!U!Fa?TETl7beJd3@3fOK5w*fmyR)i-`G`Zve^hKAhG)?o7hwPC&c ze+xc8p1B>q~#?K=?S)n#et&N|O>i64ct==qt9&Hi?^8on3?ZqM*wo^o<4sT^ypgWBk!y<|Bt71vDLtC@W zpsh~*2EEYgsH-$D)yzQE&snXyKMb)5B3)ozc~jZ*^e*F30C>v|fig4|n0Ac^8& zLhaP{ZEaqeI8V9i%aogAa>nc@h{rX8T z6jP0?3f4do$sR%?J$d%(@&3dr7()T1BsTE|0i{tT<-SUF^qH#>(fIj#nQ*9F(&f^q zP($4fr2o^X@B=)DjhEEik}zb!Peqk=T3S+8n%DG|JRBoOvSXE?sVMJ z<}W?q*8Q*3l!Dj9S!V_i6c-_3Wk$0cS~^p0+nZBd`ci~fF&vt*^~e75MJA_{3j*a` z=gl=t%-D0eSNW~3VfU66Cp#KBj(W{wq_j87bC% z=Ka*T(RrPd5%mj#KvNg?O@Lj|I>HW%?@c zqPPC~_2+J&!E>*%%iQ%E^ZG=|=DeI5UfS#1o7cDR?YeNZ^1qgB(bt;=hlYpPonLeA^dC-D z-09;3)>yj*%zGetPDVA~*mJAYb9d9t)3!%1xnZ(Sc=cxfdAVI;ZmIg_4yoQ1mD>fi zfWc~Dnf|yvDQfKke*C(WU|x9RLeH>D+w?gyvW{a4lrJr>dgPlI*CBJxr_(|GD{k(q zjFSB3e5kT$VtNRF`-RgEhUl#dV$a9*vW?R{^A+B8lKWIEqxW!vW%=l3GSpMeOS^R> zu1vh)t9Nwf#r>&D)~*&Q0pQ+ufzxz8*?{vXmxKymT79?CYY3tB0#RyuN5cdUr$5{HWD$)7%*0 zwH?^$A)Rg`CGC^I7@~Kt0fA>7C+w*A;zq>>vpv!#S``WH39@k( zw>R$Ioo4d<)R-5q>ZbNc9HQ!}7bsKx0GNW==6iYNDXllxvMp=t@Atdj6v{e&eAg7% zVtU8)!RH}Iq3->g)$ec2FsA3N9XhGydY7y|e{e$1M_a>Td#0E6ntF5Q?Q5X_wO6(l z{q1QzB(aCAwk)oe_g=nK2(oqyomVRL-Avle=VC|eFqID@I!>Lg^vQzo^y02pqIGgb znK1M^&~KdCpc774`x=%U4NyLCqFuI|O#dzwgO>f#GyOZw590P^N~D5Yc+t)_jL03T}NQ>*VG5Qgs8UtHop zdxrkP{2m&m5|=$==NoD-&NMarqdAtR9OPepyCH1}#jvzbrmsKJOG@iUfM-Rc)mz%u zy*PEirQ*=hQ`zUee=2=@yj1uX{3_cX4^^-2Xpo1ksEWENjPKTvIJ=j_6~on0<2Lrw z?AxP@wv0l+kb7Mn>t`vBU74-?@7Em23BLKJQRbq!jheh>px@rU)+x8Filoi+<*ufV zc{XTL`*$5rR&V(cUPCWqZX%!WNcencavPW5;$>dEKVra85&v8(Bs= z;{5c!k$mRGxak{4c$9cvnR7C3(2oyq=R>M|393~KVOeJaDm-$`=k{WkLtd1Omi_=3}xazJye^`QHxc~qbJVcleQGBY<{KIX!$k^ za6kaca42zs$GXazW}jR7J7?v$u73KkB!Jv2fS@5REP|NB_fOxt;6_1r2)#(6-o1Or zNKq6p$Bz$yuMiVH*9$t7ppG#0F^~}?G6-6DDpseDx3Fl(B}6?AqGM=oen96LvyLy$ zy007}NH6pwds!#0pr8PkM?elVn{7D<9(dRerU<1e?bElfpwIC@X{QyXf5d+{I!fZIP2&Imr%1+b{J>B9-``A=D7HNQzaJlOnlHcO)&KkZ zn%Y}U-XMPOe}B_i;{OZ3?3;7{uS3yuJfUY5y*XtEE20z_uwoZAlUoaV7Yli;Ehz}h zqvfyIY`z0xHCj2-kw?S^GsK>d^}7pWjrsHc>0Pz4Xys_E1-D_ovjuz_B$q>Eg%t$* z3G^vKL`^~qt9SJ~fHoF1-SFWj_Q20igxCf)xDQ1_WqJ9Iq@?%09`Q$;dEr15d#L5b zW^WKUKNVqeBz`m8O=^?rHa6e&u8x5k3E=HTSA6Hr9VB+fY;gf#5lfe#YeRkf$&XVU z*EUwwKxTK_tNjHLxZ;Y27jQpx#t_bsu(n10Fq6HB6DRf)A~74A_lzclt<%$|jn3D< z(@5YABt=_G_bircBOVj$1=4*(IK@a&L9lSe>&90=1oo<|t(XE>sKf+}0hEGuHGR{4 z$Vf@HxeO1ul#pVMGBFoP8uR==sjt}yU_+G5Z}urV293<{m` zAKwi96NU$Ew~l)>;tVYoqp|t4bB`X6-n>zQ8OMd*H)BX8PlyY{er`iPM-)rLNjmyk zt($u85PrCP9bGgmekx*HI8%|KX5lJRr!LU#L9bPWdnc`|K9{D|u7Amyrt2K>J=Ht} zkfGie=jI8tzBs85T*sH^ne#nhSvqYm1lI?IVWiog(p{FY^Nbr&i6V$KvIx$laDP5j z)x#1R6Sb|_ip}4x`t+$ereS1qlb#@#(wNhJ!tpVp(xh`N*m#^_EN4^+pK;h{O#dH1 zx+!}4^l#QGruP`^TwGgWNa!d4FA!w0;DTUeSY%A`FW~DlRMn^8Y+c8<5X?<66clq7 z{-t2%bEB&#ZWNB`=wCSF`ZTD*%o66~KZj2!(^bVkV5rnhaqNCt;6=-pMSi|T_`;pq3C$_C{6I$wSzw{`Uo#2spUIvfrp4iBW_6EwNmy+?cVZdbY!`C6OLw`YO?bSL* zcqP{J5OL=-kC}EH#!JfB9Zi4!TmU-5`xskGNN}z384{*ukLtrBhudms^}(VB97APuszWuV^E`Kj^79dey73 zP~RM5w=uGypB{r?t{jvK`gyC7eR57u_SgP;y+$<4C@O`qqvS0;x>V3xm({DEkmlMh zPP|Re^^{N{-WKmgT4^LZaPvU7gyadzOpBh22p*EWSP91bbFQym0GW;}Jks_}luBpd zR|$q>_#J)==@<|*ah)GXzYg8Hq4IKqV*s7s7(OPs$}X>O@*FwNMX<8o6F5)m3_jyt z3GYz0nN@JCH5zWo?uKUv=h*~-_8*iS(j}&Jf6&xV6A9m>`SkZUw$8Ipp0fv(Qya;H z5c5#$OPB0L5YP1%sz%l{q(+X|otJ0M={AOoCYqtRO|eHHk8nvhw>CGWZ*)3qny(l1 zD(SH##v42z?nEZK2xgN)wuMxT5%@^!JC0B|_&0E)q;U7acL&q0cKDZ^1OStK)e?wk zkZy<%c8o*F9A!FkJIK?|iRL6M`aA9dyU|8}nK0k#o)+6A2yysZ9NVowkYwf}xMWd^@nkX^YSh)(N> zmx56Z;vtvxnKFzbS42)?vG5QU6dYjLx_(`c_9rKjZPxF9Q*B+K!Tj5H!NhN>z~ zSnX8Zu|4b;GJ`RdJg}e%q-_xOA}H@-0RmB{sp%EHt1wh#>!H}D$nQGibW;bp5w1}f zTgIwNwfoHn@i#UEolCMy=?j)2a9R>dA=m_@lz`$iMM;QR!uJWoKAvqRRwhZn%#2@f z#fA7^r+Rf%=!~`SNI~DgiEZFcliY?ALQW~K&l)Ww1x(J6UwVl)=^*?C4hN0uMc9NY2x7=cm^|K7d+8e&|H|R9UZ&e z4~z)C%g8VzDJu>Fqe4rjx&XJP*d}s{i_n6z6FyJut{Je8R99?;IeQSx+r)#VN(Gf! zN+c4KMck0N4?+eh^zV&l0gpsP7b;`VK$<3j2I?NG3f^Jh?C&qbe)`ZN}a%Zk3F=W^+j#8{n>ZQ(s}R>@hsv^fpMEjZ&SGSVrh6cD-w_@qKVS~KSi6`KA<$#wJR&0|&? z@j1X)m1jYJ+?EIL1SgbuQuD*iOrN!7z@nnIq^`jzr0ewQSv@-`QS(8z4jf@uMny(> z0;DSeUs+ga5;2}3_Y$lCo;}Ph=l(#SLL}>rOQ7Hea2+%U+yLn&lwl&Y+`|L2jigU& zB%l)t_YI)&L!qGtlpSB8%$KK8nF`(=92DV}L7`vNWo`-s zG4_SqN_M)FC#;8U!*$d6rEbWQ{02lW_*PWY6%gR6)VQ1)_4(J%Hg0hQ&bLC4xibC8{a2B4W%6uwy}YPl&R1F8$xl5Ng-Zy2s=B6&K!Bi6n{4r1I zTd#nen7U|KmhUVJi_Eezy)54{@;V_$RQ*h<=0NL*}&~HYb~)X=-UbM7zF4Zu#^4c;uc@?cg}AUH=cgOX#RZ4E5SWsAGu3#si1k( z)g7t2owwpZcF@_kuX!A`o1G9&2UCbsi9P@@$EF2%qrKY3{a#xaK7Zkf!g}SZzK`Io3KFVkrdpyes& zT^J1U2SVwOl)*yi8eVh}!G(Gz_xORczh#iW0@aC05I?QpyMklGAU(EAT>cq!woRFh z0hCc4!9%Eq#59(8oAig@qxiNdWFTE`0;K3d2v`uTVu9++s~#=}~(A+?#LBkp#^-;I&R=ZU$N5 zTzau6g#dFYC=un1$iy_O1E+as^D0>wtnc7(L`cXHBy#&Mzx`dE(}xnxgm>!|KB(!1 zDZM%cZlB1uWp*z8Rm2HE6Fwqu4zaq~0pah3}hl!#UY-3@w2 zn7Cb;&IwyAA{Ym9?e|&>p(=%V%xq$p&f32B-n|=WrB*I)dvHvmzq*?UFtoVM}IE9J`@JN9RR<%;p=%!e5bI|Q>zWJ6nz z-z&;Vo}x1b`$W>(O)c#=NvpTAvOrwu=_{!NM4H8hv9g2iF=|4fjb(H}3r` zrJYXeF80UK-E$pjxd~W`Pf`UYj7&FGWtEvJg`J)j%3811=w|@HI9CT?3 z{13nwBh$>D8{bkpFtM)Yk%}+25PNZ%QTD`7)I?1gDmHV06$(pAGGDz?v@*XXWV3Vz z@q9Y1g?A!_-Kg4HCGrndl(;BD`U)uzc(msZ>PSzv10vTCaH`Z~5<&W}RZoJ;BY-m; zP^!?c(r#HbMWxyEaYf-qpgc+CBYJsiZ@SJs!NE_YCZB+)gDyWBZlItm2|-M>6DKl@ z8!l|?W;EC#790JlwMfKqYfT+vcw zj7v(2TJn5TU!ZVGjZkuq7ct-E@g2MP+L-ddg6%)QevO4}!oz`cnt?eMrI6Tk@KR|Q z?HDnZqO1e?ua+@BueD#2Z2&MgAzhHvO@b@fyHv$VTmPZB3yg-22EyiFP!TAHzkz#D zF&}f%v=@XncF1C1X(YlU`56|Olx&t02{d}*x|1`;`&CXHhJ>kLi9h)=IyyRh!$9S! zTWzcBwm(5=`;3ZSFgM`{2%#kThW|eTe|z`I_pe>LgM^GgTr!#g^A$SAN3g|8Dc@t*cS?< zBuOUkh8hulbDr?&Sd<%+SmPWy`E#&QvfME4I?V;#46 zjCT6O7OH99YIl=Me24|Ov=l+u(Vz4DBY%~T)`1!#;&DjC$OU5Q2-RNpNs~ZyjwUuX zeP}43#OQ@wzrHDM6)C-j_$!*2n|*7k)*clUgwV9Punv*373QKvTujqVHaGBbhEP>e zKR?C3M%WdutLjA8@9^bxtudW|pbe5Ig*6FH1`%7Z&V&it(4h&18$Z*|P_Us)@Buh) z!pmRK&}m?n@>?{r_J63a7iR1Nqa`m0_Yny`1#f)-^-=*s+56 zTxJmh1sOemro-DZ2?31)u|%P+;a{4nh6;#;vD%5cU~3lf%w++Y=o66p8=IKK(dp7* z!$`w@H@0v*wi1GcOZFEly)kfe=dFpN9tdSIJ(u-lDq6C;07Qk8Q)+svwAz(!tlwe@ z!K$>%dlZ@O+yU?3Z#S70eIh1Eh%J8!&zG)-2p>ent^5s3m{vmg{tQj{$~D#TC|2W1!Jf!~{RudP@0)#n$yv78LDY)pv*a4M5a2;a z=if{o(V22aJbF?L*A-NS4zmxero&o}V*Jdg-#7;c7ORil&dUy+id;7DhKut)VJUunS$ImA> zfN|giI^*Wt?0|Jgr)=?zGxmmrXpSyYtZBh;6f{-ztZxi7y9qGw@#8=?SGzvG^h8xx zH;ObPDtNkfMms6bQ?{{vMU+3hztcd$J1W(lL&Fg;@a>7k&!4+*bl$)Y+u2 z@Hm|<0s=*mmjm|9K&2)zX8TF5k|3v(lx*k@rW`kCngdEmN7qSw!hvPQ-UGdHw2PU# z&6E%jHEzXWPq$wr3+PJ%EdCxehb4Vr!k$QIxMQis-2#IGjWl{2nNFfSasg7%usHDl z+m`cYKde>bqjYNmwLl+8t7Q%#3lnqk&dNkl-f!4|rK#9_QWL8nFE6Edv|s!Zec|n#zCip+QtC3d*d}4Y4+0&NNF8*iItgwLW_lMJ|nG}W)>Z89ssG( zSy7wkv?)^W5&RiE^AARcN$aQ+IT(eB=>u;Q=TNbC3$b}}vo7d5wMGS)wa8KEqvJ`& zbEhnOA3G>JQg6*ba)Eu)UE(BX{B&pe!eZ0;s`oFr&ZLDC6XE{}+XF~7;)2qHpM2w} zL`g*yE+>3jy=)!jk0Rq6FM<5A2SQroG79t)8ggd}0!H1&@nfVob+Cxd;>qB=J63 z4at3kj`kN^>$2XyZAmE`VE=vj_smHffZod~NbvKvZCc{XiZ25C67Y;I_D-UE0D+%O z8*-ALhw0XF-kF-@WSG6Na`#Qb44g^c0vNU@nM7Vi$&ibxmD+_o-yU>CIje z>f7<9@z)q#3DW}dFqQGLKpE4f{~+^aSyWL}q=`xC^%L`?)vtgrX8+ zN>iO8yK5=~3mWc4Fzn2v{*r|S){0cMS~0a#fJCFSZ%YISsaT0kPnCp@8e3@+NJU)( z#IrP&Y;B$K?)U$E!@^=x>C8`@Z80Gw2~qKl*3r&*n2k2KGyXiF6(sZ!WSyYQ^_U@% zDIZ@}ieey0ex#^BNX27=m=flkXh|g?c?|JX(~iygKUH5(o8oCBlRs|<2C|8h0(WBes6BAl+2kq6XPDCN@4iv_4xs+b^&M-6ICP3 zik=rGm~P1Ya_;|}L^^f^%Eo9gf$N6oY@~DD7uvaILJ`ATAyyHO5tJLPJjh7p_e#kO z-}le$QrvSuhDgw>&sWt_)B>v>(Q!O;;HK_Xk76tLU(=0^g=ZiE9$F$i(Wm&uGDGZe zj~h1wfC)P~+Y=j8=6rW<aj1eOy-AT|n`_=nQe zm?{ZO82qeCh+~fFm`y!XP)+EikvFMHGFAFbxC0$I5U+@Dn>G?}DTKHFU76yX&H5 zuEyWp^Ks&N1g}(G>f4W(V+L;7tkSu?7){U2SDw6 zd3jp%xAC-T*e_uL00tmTF9p9*EEve}lXU*9Dtx}gPBDU~3p`LWGigGJaQ9H2@x(ii zLRfIGIgH%~PKo3ZY1GVa4MyS3tP^A{MCcNG2a0|56j`j^W%=XT@S1gAxBYF8&U~-q z)~~hY_s!>;mbf!OFc51RIPro;k?`Qhx68gQKOK13f-xlIuIGpM14URuap81#tKG## zBb|4ecJB|RXb+2p7z_b4R=uyu^io!4m@2GV!OU;Ezfb3(zz+HT9*!3lwWCmk zg$POFL#k)5xZ3X(f$KjorC)meXh-Ot|GJ?LcK`UBm}F09RH@1`EzEGmDj_f9hXpzrz8A?pcc z3+;;VD5X)eo8&Iw-^r7O{X$`h)be45dsTZ_o{DRC>u+cOZ!~M_&clsmI)d^yVPz^* zO=xljrog4wSyyR{Ay3@XrOi)SBqREHAw%GEmmnmoQv5%W1}=tFgu zj(s^rqD7>57&6r2;PA{r&2n{+`Xn#*TjxH>X4vf06jmBPEAVb2shcu;Md9)<_Sy=j zR03foV$qIok9`{{PrKfH$y--JN7uz-m1|Cy0ACq@nIoh9!UZ$M@x~&9^ZpYZ@kc8E z^yvUz+h{jWL6Kl65_j(0g6h2Tf(Qn3UVncquPO2(D!|W5#Ec~O?X!@ZzHQS;Kw04Y zJg<~fHvuMJru(L!G)+0tj)%P4++=*x45L2lf5?PYqKA^Fi?e&LrpL&XHn{>TWB`bW z3T?-N`FA#JlU0@=Q)g~CD`9OoM^by~7pMD!RS$-bZeFBBgz=v;c))<}UAoF^#WLq> z+FpD1;4z-sV$M4uT=;Pci|(Q>_VKkg;;aBhqK+FVoHsc`tR!v60EC(`>f=;O#Twoc zba;&dt<2~dGiEGmEKa)PA7JpjPD;jK?$F1ZQzH-NFpTgTu*_>P&>X}8>v+@uRus$_ zq6+T_Y6|801L_7_&-Sf??M;Dhg5klZqkby)ZckWS(Gv<%c2B+LgQv;$^B}bzVa!s@w3y5~rJ6 zCFAPUM(cD4?F>KmVd<_2P5VOPR{N__*#97X5F08e#xs~4fpw880EJz6LK-7fTAz?F zBFDN(&m5XBGpR@Wo85Gt^@{luqu6YRgI&z}I@O_9#x}XVFKC*yo>K$zEj*u!dx_-(@LHy-hMut+@1ySebApwY8t_}p z$0x^}Mha7CYzS%#Vw}%>-A|Ty$~rIOp63ncNq25v`MPe|^Elv>8jSPb#ku6mHZ1m;d;QGCYl zUYKBidjI5JyADtb)Yl(lNFPtjDNtJYQZy?^))e||7wvrbh!s5sp8wj6ceb{dU^2bO zH{O9p>YIUkJVRG}I?(G$9l@wOc;}YtoIIB+pNdi_3WP@^a|( z>H6hk9`-m_-gxhAq^ud4%$*JT`{P0MnRO$ zmN2tdn~{VpBFbG^QTk<9tFCLd47`jVcBK_~e2)b}`1AL#&dL{~*=&9+MK(`}`ROPy z@mR7`=eQm+aP5Bm74BE{$J+d;r@EeH%=xD;LiCDx$CwCbZ41&rlBp$zaeTwP}=U_9?S<6(?EXrB5;f z8+dg8zG_+Jm!`Ocgv=e=eFpu}?H%*)%BpAf31RwtQPGrSSz9p+$Bt?*ZRGZ=lPsAn ziPD@GI0o3zscHxCimq?#6o8{Sjz1<$AYmn~DU%32GMNL_&2z1qr!ET{CM{+&k&u#6 z_0Uv|vfd^E++}dMMs(b<4`326+1x#a9$KEZ-y zL@p)fMe6x(Katpu!wI?p!PUTxKD6<~gO>~Bw5aFII zesB23$}&O9+xzIz+BTiW;_xY%doIg#Y$p~)CCmbuGP~xhJaMfGz{-bL&poDXNyAT= zRcGfHOlBRqFbMu$yzDkP70J(*FV#r_2#Z#|zGABM^Dy~KZbpdu1U%G|n9@*8$C86h zPF!g>X??wf-wv%ohu5U#_)LG_Ac!Jxa^&XEf34JZm!pYaA#}gFuK%V@7t0CA*Z=th zYmGgzhlaCDmo5RDth%lL@}s-q5AO0qtu81{Ry z_p`WNW`}-(xGVfVVryl|LGA(hiY_8xWm(+}k}cJes6+|3HMiJvo4FzWCx31}O1AU7x3 zN@kJ<L7^1x(e<}gx_hCp&z$hzj8(E z+O(A`R?MO~zWB29BFC#5mkz8?#({+vH5Qtfs2oZQ$Sl)g*`&W}J$>$+1@&)|Rh;38 ziheZwM0uNph6Qr0;43V8W~9~E_u$Y4vX}m@74AQBn$dlDg44B*%t%U*w16B>TmgU1$QXg`#PhR(e>|;Y-SAZq%>-{Jg;`Dmw_r)ms;Ev8}w9z%Mp* zp51dvpF{jGdZxg+T2E}ul49`_Q91J1?!y|qEEy!rLF=5dX$=0Q#aEq6yc@kkE#Fd3 zV}n}`q(2mId!9g@;>VxAwJueveB69xV(`qiobkQ2?;b!Ok-W$p$x1 z;4p$UbYbn5QfkZX-umnQa}^3mO?Pv9+SUg*mRARYgN2V76Nl{wl|ttqbFTVxy7qfz z;JObG)g38Mg<}(CBLljl%8!DKWM&DNTd&P7wsi?n!&c+kc@4r^u37g?ljk0{C%!hf zoH=NyZWOC-oKjg6Msc_f^xAvHk<+J6!P1Bgi+z7Y|M14w?EfR=OcSec=?OVe-^Wk! zn|Ww>-Hqf4Iy#jEmdx?GfZl@+!u^ENu$>sYP}9*~r@{NbZau!+Eg zyBI>b>Ns9>Ka813^4K2xcJID`m2||b0|5cK7eDwbj*ID?>DB3nawU#5xK#mfCWw86 z3JOIm<1{<0H51x*+V<_FFwbZCL7;fr>;AJ6OPbPp>Do2>5BKD<%(PWhB!(#d`CEI( zb7VK_Un-)Q80Wb4Kcm|fIULz4GR>w%O+1Q{44ek4t57S zpaYdKkipY5o+%Og0D}P_7p8T)52iT*OR@U;{itlYF%ARW=FOik7SjXV=k9s>{eD@Q zvV@**Ivcq7<-pO*jjgM%UD`ZAF<`Dy2VdVdr$b@FIe@!tmwSWgB}`jj_sbp&ic!VG zo_v~-i+s52o>t^lGP#o2 zKeRWac}I2#@KiXGr0rfkdxofL_TtR)IsE44*^C;+A_y<7&k@nlc@(L(xi^CFnx=&U zP?O6MuWb3W$5jr{^T(~|3wP@j_z#ns<4lMyZTr0%hD&t*OhFT4yl@{)Ag)uDE-p8` z{|)Rveswi)oxW*Sf>Hh1Fry=MhYJq76vX2 zYxrXB&v3m7-1g;&38+v7wV1YBh}Pi45hPosEH5%Jr{epBV;NVU>S1T;cX=gG-5e?` zVXea?H+Rg=>2k0w04l^nGtb&uY#VN6Pd`oFC59OAhTwt*CiL94d9$z(^Kfu*E#X*9 zdOeQ!pL;YbdB}+4(|i;yEbuqves#O$s}yp2_J#@OeOogqvV zrWr|9&-~W;ZkAuw6jzJeV$%~RvFj=ukVGcPCxJr6vMezcr=Q_IIMk2tz(RxV%@Z3Z zjVS-8yFVy@?%l29KF{k1aQ%e9L;amCg(kVQ?NEi0%PJ;iz(H;X5thA|_8Z!LPr)aU; zR=@_-`QdW?#VRaLkbp1KcK#(`I*wUt&1TSt6K3x^J-**j)!zP4N+rRUMqIEU4N&eP z8%k_0Iu;oTBaG4JENQv5192VUf0J#S^R(mopP?&0629&eOClUsNoJIm9$`Qtcv4IZ z>Eqq$0`bffg+V*PrK2{&1?{rgBwKuss=?g>BhSwr>M%{5Wzn=_-XiSoDV3?JqhQDo zOIc*ARW@EwET91d{%Mt)F}p*D!7_n@cE#LIJ$wP|lA6|*wu_sdSImiCpq%DVY1pm( zpo~NMU&}Mqzhnl4x6fRD(Qs$qP5UZG8knu?vf99}WBV?BcgYNDzw^fM+mp+bUw@i! z<~q0~AkSw(!_TL#wNZzTUoME=a>8qSRtIEOjA-!8hu?bv0JVLNw_1c5)*fIq-84E3 z-cV*<<-&jAXr-vH&+f@UoYT?MO3(Q6yxcwe_EE1X+G@!8sfdjMB$fBPx)V#%=m7x; zwE=CI>4&X3Hcb*AHWR4NbT6g0uB%^M*a`avP-n-Kf>h!ccy^?&! zTF{3j0U~5I?Yq&u0paP>^YX~gyH9t4c)*m|D#bgGNdQ>MYzlhOGp4QT-K(k1R8_XR ze{0)*vjpCtJQeE>Xx$i&=Kuza%gvmFQ86l3UDn3Kmdm@?wzw~|JfLzpVRl!R9%4LO zSyuYT`fC0j;8I4y z$q}?xNRFqfT?$+j9o;6QFBZL2YSYH=7cy0t5YF}M*`^JO=0+s5=^prCEu-uM}U zi$R>#TJQ(}j_?)Nds|7(;>rrWP*;r0W|VY!>8E_n2^D(NT8Zy zR3$g5v|$PJ!kvsYMH+%~_W&l&GR)TXT7LAQPCjF+LH=dKL>%d8OK@F7Ljj!1k|a5G zb(K<+8M70Z`|>fqhFaks4)7q#4KWvH88{X6H)m*kW+tKIy$b~b0cGFMLpRQrz;2@u1orC7H@rS<_=SV;{+=WEKNc5B~VKh!6Zi&54 za3n=(!8?I(ElS%d&JZ0`1*M*|jl0j_QcG=BRpqYAtE`Stz%UDPyuP@D!Ooo$*+04$ zzm|$pkO;qWG0x!bR_4FEnF-Xqnl)y`i0+KbEC%ie>E$rf^u=1K2@7`4AXO%@N?1tp z({=5)v$vY^@e$<~_6`Oz`boAsjHM^tip`dYkoLD_NyYSG5jrfSz%wN#-idSDp0b9) z1Hv>4u2`z(@KMeKp~5lx-_qKwOJm9N<|K>ND@`9#Qa#VU3)sJZ5wkCW=>n2yV`wSf zE>rA@C|o&}(-W-46c9SVZiX8ew`r0o3pV=o?bwb5czAjQGnx~$73O85=5@c@w&SeR zgK;ZLJwK+7Fi$!^uzl~{2iEJ~D|``o?c99C$Qh7_%;+jT2Q&aT3U(e-r$tMb?u(C) zKdqsyIbA2^{uOZ0ZUZKTb0=#ip5UDlX6!d56qXDfyrQd(L(gyxtK{o7|5Gs}5TJj2 zem!Bj!d}uNt;Z8?n13L&lL-8HcJq`GWx=QY2Gxd6bf%e^;m9M;0A@kpBIAYjO^`o< zF@=y9_N-xo^*5o9L?mRf_yP5vW16?FSwa}Ny*48dC9h-L*e14ui}nrTAF%D&LLV=^ zPJnJ%p!!H)`$?M&!?@MoNy^T2(iz)qS5L8!m832%3Rqq}{RAfv2XS3zjyjwsfVKRvU<%k<+~R-cRl-Azb#d2<~(WRJv-CoJ5GxuFXSDYJR$4UduA77SYb!~ zD};r#dHEYl%oD6D-oMWwehKFsiU026!o@L@U8fvyxGh}4i77Wr1XCHr)G zEV5T})v-!aX&tazQuX`IeLAMcyDnj&9W4R9*gg2b1~Qb?_eg34|C3f~YJ@oveMZc? zlKsno%a{c_g>6q0rT6#|)r9t)0jlv!>G+rWiIsTDP2hP3uPs3|8Fgz`#U`~P{Am30|83i+)7^v41v zj%WCx&fU7XLhZnwsB?m~=)sa4FAqZ?Y7F@U@2Y&W4R9D(bCO^jV0E*H?b%ND<3Akf zY_Oxc(D(vpEGqtY2RwmdvZ6qRGADapv(6VI3%ME2v!JY(XuQdx{IwT zavpxKKDoM|>kfH`+t6 zz1~#scZ+~~s9l-QzK5@RxP4!9FHfUxm-CdJua}1Qlizi{A}?~Nlg14`fh4S zQfRN|LjzC;ot@ct!q~A7F;#;$!Kl5=$zepRB@-WtP;j9bDt9qUw20e}Y8OVF5Cl_w zZ2vmCAE3PmJY=;Ue@FNNKvC-MVO&6}fq`7QZI6VUhHWeXPYhM)6nz_eI#_*Fy0)w& z;Li_pS&Q37QBIAW4^>u_&%2=BGb0VE%W>p$>GCf!Gc&a@+~?jk;lOs~@KUsZu9Ri; z`B3#67Z&XxntI-JI=<94sngicjp_2y(fd0ae%L7MI8WzSga&+^)9*dS9-M`DCQ>H| zFAYFkkE@LlZ2I7%2%!*ZaJaVi9GjNNlHa_hTj-I$?UMV#6=>uLqlfBpro%C)7NgyA zW%1F&uc#XsA$(z5FG~tvdhi}X*a3K9^2+o>x+(?H_*Jhfn!dJ6-nuGw>)`D7+lF-Z z@Evp6Q1O?N)V6K*TJwJ`EI((fA#hU$`C>7rV7hANUxnbs6w8289%^7i{s68OG`k9A z8HvL~d(HdR{_zy!6MbAlohI*{%bujK#P8 zp`pD*u%lfdR+*>tT|zGCuWVwVv-q;pdTa95aa!7a&zfait(tK{ z&!r|nPO;q^avr2c0kTm(l$s^9HgM!e`}|!mS~94DAu645VI8yWiPD#Mw?mSvet(d< zbImxN#Z>aY+*Uf?cJGclhZ{%dokf`x$!bsgoJ!x}L~c5Nwm0Q)0_nW>poE znU{k)dpOUU-J$D>ufCm2XOCv|NcQb`##tCkimhUTa8E&ye`G4>h$f*2>6hP5d}UQv z1r$kceB2zVGbP6V+C8%gJ@Iyzfwk7_>#H)+)I^w>5UK%2go}AI)>}UA&S`OO)X*kBbJ73ELaLWM(JN75FHYPpz?_=!uFR22-H-KV(q z8|}xNJ6`f`Sq2~MQs2zj-!4k2qui+>gQi|Srf8RZ!J|exf9YKs59XfvpjTJIl>bg9 z+6x*Tu%-}Eo12?6#f5h?X5*WQwr)zj=KY@YI<~u?^y(9xVzy~HU64Rf4DT=}FHb~q zFqBKAZtqm@E!(z@;ZE?_ML$HOMjc9eGaMin%1{h)2OCphvy+gQkb~x;MUigsXKZUM=Y2=A*sWpq;B(m=)2ei zn*<(N=BWp`yNkjfV7IA9y@W+@Hc4ABI$7T&Kb6z zX+i`Vi!PRXH{!wq(e@o%leU;n6g-cGT=pH~T?#L(%IH))M*rp6$qRcbd*Y*Ue&Jm+ zf;#pMMIM2A!!b|@0Rn*oJ8wWt%^F9|JwVKHTq?%46j+@^2mo)>d)=cKpVJ)j<(YZP zE3eky|2j-|Yg^}tR{M3!=l4o}zVzd@RY>T{D=Uey7IC+fg!pND^JdYk0BVZG%Avh_ zotgI|&sqP-9^-(*v;Ai-fBy+l5s5|&)j3C3&qqHAhRq`ATlv3y7P`J~0%HA!;1gz^ z0Wiq_rgOr=Neoe5dJG8gzUeJ%uz&$Z|M9B~-JEUC0=3t)CP3e{)K7v3v-{7)Gd9^$v-5|kN$zBjU`Xq zZ#P-RWyvF>iAF|BEqHp_wI-obCy>%zlqUN;NfeWcgY(0!?z0GI5^=N+BUCg|re)KqhIbW99!+cN?BXqT5UtdYd?dVL= zbY(Mh9Z@u@IaHw1py%aWU@OVI3b_2;NhDgtsKjr-B3qQWPv^$Q!S@}LymZ3Rg7B`9d}+J*Tq(yi;@kkQ8vDkf|t zz|1;DmzgTZa`pM)}#D4Es5f zJ@-jIwJWO$Jtroe!pE2ts)d-ZBG!x`A){!kk}blkL*L9g!r`7s*CUkg=pZPb$jOO( zt`{{&J@k}^m)TNBjjdcc)2k01?p8D_cbi#?$=sM*jf>KK1`u@n^!W4gV?Melv`8EucP?INHM~HmY))H4^R(FhU0EUYWG7}kkPkebIriF@0 z3=$VoV^YY-)jGiGCg=uj>lHE2)8VGt+MT9J$J{bqQs&GD z78U_5OWB;M$FqWxFT@5huQ^MFHLp7j&*51&^|Wj4!aPCyUcCc zo1#N=d(N4!Zkw?EzyZq$4OIqnz@jCb%!xE0v#1aE$piAW=&XFNwJb!Qv!f{@qTBmy z`NR>QJ%=nSO7hIRJSb(Cd~tDK+)uJ$AH*nBNC>;OJ*jTRU3IRToH_RdJSQl-h&|8d z^=>SL=E3bPf-7N~!a?GSzkSO@@A-~85y@iXIWciONH7jh?(fR!0i?ogU1I4eTs7MFVwL; z7A_QHZyFz^U2^W;TIM~v=#GuyqOJSvx!5I@zi+S6}!gDS%ChmRf_{hZXSIlNcIr-0m@#-opK*thK1 za_1O1^=UsNm*>da_;$3txp?71B^xCb=Y%sw(*NoeuSbm{M4wGojGz^@5`9@L{Y7Lz zGy6u@M>=9uHNDOeoD9=4_ zO?D!f-UEK%rOQvvW;Tx%GNviRoy>C|6@B@1uSMg<uK1Ud#~Z_84s&y5@H>h<^K zcn|7&?l8T2{gO-WeYNx7FYs1g=NfF2Sb_)s=+$deYjp3JKQ3|We@xjza=?H@>*=FM z;uSZKeN}(WfvM^Xa2F6DBy=_+6p!YeBofK{4}!nB|9hAKmf&&oz^(j6mM0b@&8xUN zKj%n#uXx+6!)9gfQEQ*Bb#vSQTh}Ccf!+Kwt(#I(6BY7yU%WU5y#JHyj$;&Jpg4jm z7O{$KUoriODg~FOtx`ct9$}_r2x)Bcd!0Y0ZT6r6AqitF>=*Wvk~%ZD^pY-Po(MaR z@BR3bne4W^F`I1@vnq0>%}U(;he}FH{*K64;p~hGQihB7KCn@k!B$<8!A!Z0G?d%* z4SBwwcjQX&*<+Qsiu@2i#cu01rszE>G!EWXQGW2n%lxzGVDX4*K8bB?rd;o*{he{GMHTwt^`SC{?Twh1;3SXJaPExxs3DMf>b z2#3*K;_m(&v>>?TR-~f5{syDQikr9k+0o=(=}ZiIl5 z3G{_DhjLlEWO=923NqX7mLEKnRZ1C3fWZDq8a1gR&Wp~SIozU5;3JlDi?5)+u}!er zL9x4Z<;o|(=mJ}&0@iFU8m3qiSZ&?Oi;ksv%!+0QRUHqEpAfL^AL&uuHGFZJz)4HvGCtp{eGh}<@Kr?$4KW=QR(qZaEDVt?5l zmh*4tFy2VL^sig$Z0Sc8Ms`=~s7{jRNu;e!nAfYv)7$2o>-@)ugn*PWKql3sYb1>* zo_v4StC)AdLI(UTCm#7L5no7PWnrU4yp=FqFS>d8aZ!fpwua)aG5%4bb~Wg$%N)J9 znpG+OlJr8@6Xwq^EyLE#1%~+H0Z__(~nw;!LCm}Cw8?>3aKC3+Gkj^ za>mT?T>yhz2*tF+h_)`@-6;6w|JlO*`6JKr>>byOe>Yg(>td^3{B$WJdIWviwfEpC zVEyyFeXDzSX%oz06Ii+^FLu*m2!a}>Wp8Zkt*4&s6Va;jh*t2@qu&<^RF(!JuV#Xl zUyp>AA@{=!tYX)GTG(>Q`m=W^Ri$v2BGtm7od4&wW;gl{aXg}FU5B=Yh>Y!v6n9jr z=8e|uT>PuE(&{XbU>UMkkbgge!ZM#Za&y#Xx+_6+@P34=7hQ;ei;*1*p0Ax~gs6zc z?pg6PAySTAt^RwQndxM+$>CAI_>%-_iOsFu6ddNYjTtWg{!f6E{WlfwkK5b1+gd2| z=nrUjS(UYob*^ANc2S`hfi>xib_B#KqX9MsL#HY`8=rFU&;2148&~`rrriDezqD@^ znVbJ%v&4@_^!26u`0OGhgH5D`9D{8UQBSnu4h{}#+GF$5%hr!*+wt-B z?TWVU{$*RWn8*v%yWqw;>mApYKDd9MQ6^eE0bERHkfJ`OrR1!Vt+tFvX;7%L#7;vM zYixs}GxEafp%HRCRgWX~CF@Ve(~uzB18Lp$A5J#QF=2`D2cl8jm7!9dVp5UYa?o zJbL@KKS(UQS|ml%bWNBrVGMJkY5dJ-$J+Iu?DOB4YRD1$#g+f%5CYM`OOA2QiP-=2 zX%`uz?)nW$Q*u=$)Hi#`Wqs`N_NaP5VxSf-a757kff<+CNco#uOs|w0>39ni>*vEH zVCkH^)vvpG*GU8pU9xNqT3lti2pky%+f6rLrIzR3F*Us8>z3gDw>OVR<*H%$f209FQ^FbGaH={C|CzD1bAY3&A>LQdV$^-|24TZ0uDK+}2rMFGIU!pB}r1b9nWN*@Q^}RTZ<}hZfv3ns$Jh**q%S z0@>04f}!$0&J5pRr_rZms&kjki*~7Q!fi$L*8zA^gfv8Jt4`FEx3!=md-P$Vr<&c& z;0*)w7Cs=Z*uutMPiln<1vI~zT_lE&@C^|%7Q~It$un7#J|m3L95YU+y|GBwFz8N{l(VP<34p$ z*vyZKa5IjJSF0a6YomVX=z61sH|;Fu`53-jkhrU0*zX?-ohBQr6c{IFikb0zKQ0oo zh#WRoe0@;4x7&V~My`3zr$yIv)k7@=yZ%&sZ`0c=z15#!6?^%tN<&Y;Rp@2J&rk+W z1p7y?4+4P_`!&XC4iJI$29>F7GXX)K!=Wn_F3842g4C7rTxAtqS#`TT;j`|(YV~iPjR?J1>x0z7H=uG}mSw8J^upHdN%wQR(_j!q8Ui-A4SAdp;k(JQYc4~{` zdghZj0mZzX7!ca*&Dc!%=t4CP+3DCX4;PfIs%m_Pl-}E(a_l1IG3EP&X4gYPk{zbs zCvxTN=nb6{KK5MmG$X@4-qy%;%;A*^-Haz^mUtYM=*(6SgUX<#&)Ou45TUS?(cm>0 z{zX#&Ig?wx!UUO6(_gnY?r)<)1}56vl%SF1@N?07g_0bV-5zuz%CC**riI+{JrVe> zsr@Po#ZHq<8XII|lvxwxHr>z43gk{*f)Nx6I(enP5Nzhzb`%0ol5ByH8nC=el7 zVt(tjd-iBS`39b>c&>m5?B)0|QQlXaIV6{mENGL633u0%*%7}p3kMlXCJ?{_|Ic%(fJo=gJR|7*2OqMd!OFE&}DWHSAfr0kx*JudG0`xuAnqOO6 z`;~a$n^a|{iuW#gtZ*qvGNTI?=Qs==kKy_H9b>+!pD5$)~#i$R_z_yO_Z`6{8r}Oy02evUiT;D z#BrlTPY=bZMDLwz*sfGh?_0$;aS?z!ij4oRUp1s9$P<2-Rv2*T&=Mt^5stofGIQ1E ziP#O6EIO;5h8OD6BiEI#_58xNMx@;byL~w&u9$dSX#Pf%}j_i z3gXS)hF`q58zK*cn6E}1<5F{?bvjTaqU{o{R1^ls2|zo9&>XRm(3#RDj?7MOQmU@6 z7m*{__l|bymG^O-(7N-s4rMOi)urq3kgO2=}?=%>=*rm77Q~tI^2JcwpMS}hOJ^W>V}?;&-PsD@rF)XytCVz zZqt+>1kBKE4c~(ilVK%dV4Ujg$ePb7XTk@LbJhNRyNYaB%WI1F+29n#QZO96sYj?& z$yZ)U1ddN#{yh8_QDd%KnwA{-dbV2ycs5ftx==Jv`8UsU5g4hKuC59Rh$u&dBFLRK z^q2@hWao*jH(H<6ihY8wf^xaxS>9W!-&k`?qXvxvOP3{`w$BX9iiz}#qcyZoD^A0H zK^;+zPFu{(g%0M{B^*SgIU*t^wyw9()pLE>`zp}gIv1aL6r(OZw7@v@&+%PBwn2F} z`kQ!ku$-GT#;I|GMd;Hsi&{=vkuNQ(d+s_ice6l*7}21vy*haI{=UPf3e_UtWBY`y zW_lA7uQzykd5NK5STT_DMO&$jA)iFD6C@MTxH^$fdCmBbp&$=|P=yC|-^`HZF~ghl zHI0(ao?H9ms5BCIU(%OW9XKcJr%E*p0_p)7Lt@ZA5FQ|2Zh`_~S`x$Bi4~Zx zF{F3*?n`q&cvt*fJjKa2aDDh9^{~JJNmr$N)@=wIziAZN6Ios(sixKK&SwgNDGV+g z)C7Hfg6Yh-27}Je`yT%gwf#NveTiLEqU00mSk7ZS*j&zpx}t&`LTrcmj2TlL9fwfr z@VRy%QRcPgHI`PwV~$*K>u67he{v zPvJUZ+Nj7Mf+wX#6Ehi+AH5-&x=JC1`1EF-wUb7az3JxGnCN-)mCYfAkLJlPa~IrM zWgTH`1n)}?BL+-z!)^xw)j}7>gl*ojpjI7qeMgZ;WPH{r#a3N_Jea&<+41ibhM=V< z%}Ef4EX4x#wjWgjKIY0y@H{g3bbk9e7yB$ScuEgfo4h6Ef1+d#?Uj7C@UE@E^SKn^ z1bj`8xL05(Wb$90AKBbj_CQj3f3JZ%O#T1-8I>LS{k-FK-RE-MwzG+ZSQbVOo?$5~ z3>$&c%*g5e^%oM7V}6!u;4GoFqosDj!NOg znCg|U+|-9&{gF88#B@s|j}86y56oNn>BG%`e~VFRUm>1LKGOLq{zDPLgSLI)7$oGpr2h*s@B*)k(2~MSV=LE!xre<9{?pj~P^HOowFZMF zAKqRPtU5I>N@4}Zx`%6)0N%UWRo4u9(H^mBMA&P;DcyW~@0e{gZ%E*6jYs?TpU_`v z8PWbUtDKHP1QsEK==kD{Sr5^J#@Kw9E3j>;qBf#Kpl={1gVz>6V(33rKSwW`Agb}4yjs)En=ISYo81H7e_z0%nslxh>Ioc z9`V2!4CmiiGI@)?#4iV{@(P1GqrDO*e+-9T%LY|9nVx_CuVTwBfB-cn=+bgS#S*dS)SrOlZeGGkX} zs~zgYQ5r$y>SYuqC`ZkRr-#svLn0z-!+#316+;9KJ6L1h)GaMkxsojdBR(u8tDPrW zps&Z@CBl!1DVbc_V(8=j`zAfVnWmdh4vM-!<{LnKUzkg3E6@C~dN4mky>Lohx?Ax2 z<;&uN)pM-Vf_EK%erStBoc;cR#N6Jz>qHjb;iV6DW1^gh98q-iS;F(ccz_*GkdO|; zTruu)*LlMfyAAs@(Qx*OsC-#FG9l1Lt7>c4q-Fgi2J*?9H@Z*e`j2k!>go!vKLcYE zj2hUd+LNvyc{{%;nT|Vdd+D-ON0phz`x7r+vfol(?e=GR#U6WOOo;eeLuvA1yPqQ2 zp;JFYA<|jl3ZJQYg0oJi%?}FK#e5pip55c@sy7~M0|T<|kr$Ts{IU>U5lludMr+E8 zuRYGEmvtDIx8#9?{qxVDxnSMdyz zTy+XBRq#(Y&6*XpRJ0VurBt+t=mG@We#!p!~Q<3hF+8P%!m zYxQlCZOpmAk%w$uY&di?o*#0b^&#n8^XbFQH~hkEbYoFiu8$~($XL&WGGb(nxOj@1 zPIFr$Mfl7;u`58v%IIG|+9*BY_{ZR;z4pTdCLx4>y~M(gqHVP=pHjAquJ_|@FSEwx zzEXy>Z()c|JwL_L_Wb-1j{Rx^ISD802jp_ZP1}3hs={lUkK^Ljl}|F6ddsfQd}5AK z=uode+xX}TS1_w?Js;lW-QPr;cuRSXA)rbkbVnB~3jt(OJd!0Lb86=n<@20>YEDJ> zI|2z`E?8wND@|?;aNJ|AZK0Y*EC#S8?UIce;uYXZ%t80F5UBnuGj@;dKWV>%PmY>QpU1SH#v37s+G>p zQe>^4{al0aW4}#e^RlfOc)o3tn`EU9pYx-m{aRWYdM=}M5B~nBr`bm4Gc;dmF_iu# z<4{4g0u*M0_kqm}3qBBIUpElaTKl=@z$6Owb8 z;`Z#4r^vrT0K`P73+6xi^~IT`=6?$WgN=jwG|MZvl65E+{0&V}0wRqUV`lK2J%qzW zm*`S5q;g{yC zoN;uinwMxR0v5OgIQJ(%`6@^Pi`Z8co&{atQF^vjq#rt>WWFt{rkMIyMs1$DKB2VM zaj{>PL|*R`9~&#Kd6@MhuA?H)p8YCU*fdw=2(=+IcDyfW5UhU~8<%ug#&jjAB)i0Y zoq}fGN)T@8fdg4*L2C|pZrIT5y2drxX7IMQmQ6i-_43S_mW-7NaC}+SypYic+9oB; zNwgJN!0^4TXz7^T;xXwj%?QAw`jh-5idLGT`y5+u(VR^?F!sgXr9fV+-sru3Hbu|ipYlW3HWt_o8ZXw02hH>i1h(%H)$a?cFbcg?x#MEw72|OB_i!szW5#6xRCn|+(Qg8pf~fxJ}dH$Dkqv%x*zsik?rSn=gwnhju9FJ zMH;qp?WMO(b4zBF8g{S1Od%XNG%Kb2n__-J+7>Tu83_k7Q|*n-4Qq}xAwmTQ+z3lnqJFRgSAhL;zlCoqEIm9tLJo$_$(2f|{l*Ds2CAN#v~DZe z2Xe#5h8#ZZ9~|6+I$v1e>5@g>?dJLY2bd2qTxxP{;m!pfQVY%$m>DB!{yyM)f^CxG zpxKGGEO+jKev!ZO zUyzJ2%MNMSPEkxVYWB-rJygBm=I{(;U}6n@ede((>uKAp={dd%xdgY8yYOyfeuL@) zzpCS3JQWoeG-q`2V!*1HZ;85TH^u6g;^G}9(NWNRS1B(V>nft-hnLSa@5U6LVp@pJ z?)kaQRUrA*A!FO=pABqgC(@@lDaBqx*eWvYcJF>S{%r4V-P#TP;^?PX_@5}C}l z^5wK`zw2tJB})CSuYX>Bf{MD90kEq=w?`tg!W7QrGBf9|Pt3XUaaTQpJVi7s1VL=8 zZxm(ndK*Np$NUomkAxq-Pd4C!Yd#ZEMTOU1ap>aF^r3bNdi?73m(*l}6boga))aGN z%O&=CwxO<@MDN_{6EL=~;48r24u7q$jC7JUHLRLrBH2moTpDDIjUB}nC7}R#_a!b2 zTAgVV7Y>r_Bu=Kc>%VSp{F7LgPWCl9!;Z^ayL|pyzQ-a~{j%2AuU~Pv2;24NMa{zv zm;d{HvLMBCBY4zTL^A_eBtBm)o-KPbHByGg@Fo-2n2wRD{0)%UJQ_X`81B2 zPVsfVvex7XpcEom_M5cq=cjNAIguQ|CZrmFr9OJZcmcmwH&5gy5~9G2Z7q{U8u<=> zj}4KX$sVZyKOhfqke98l`DVk=W6>B*Pr=34m0x$CnPFsI)yHr{f2J-u-`YZetNs&& zjKUw1e{QZI-NmpInyr_}Y)lFX-5Qs3?FGf|KRU)9263?LR2;);wZ$-2y>&K;wu`(x zr;O;f*}%u#$EUgLD-HF~AS^CITa{dsfyQPtBu4aAWy6g^q&sQz7$Cs2+=-$)#B+^p za2B}gryf429f)-A0iE$hgbvSq=aHBEbtbk|Py@+MZt#**VHUJLsqJn72wULXg8yau7>Cy8(>QOXU0!0zaG#9S%w{DLEk z^*3qLhLva!IM~u*!n$T99BPV_CJiP?VN$GGjevg1eFOR+54o64CtjXQHU$8Tr!mz# zM-q^yoXaGudWmg=WCA?vTxhjOE@-)@MP*$qYWmz<%X5p;QOY=>!bYap!>#CvIXEjd zWf@Jlm~nst2IoNH>eF@4Lq)dUSlq@8xdaN7iC((&)Gd$w(1o6y(tP(fA;qJA>d_NG z%}ki6_xb0~(`P&Fy@reVz~G7griy~}5&;O|PmZm25KKR4k@``MU|2tP_`fBO2ac#55M4+qt5l|=x6-y{2*?EQvOb7g|WOcx*n0|cNyAD zQ9p+!lm;&>awR;4P&=8Hz>YzXzD)zA2Oz1!Kf1!K-Y`5VkN)l=EkFm zR8snz);xLhxQnr3z_8cFd&110>I)+%t{RCouK|Z9Z2dbD)71)IqhNAr)yrZl7!tk35D>Z3kyW^kls{Mfn z`Q_Cbx-llH5Ob!(y+#GJzs&6~uuk^rbBo5GVt0Ef+W|2E=qjg0kYKI#^P#1uoKv5d}*`C0_=@F5o+%+PCS44DiUiKeQn%uo^gd|g)_;7;w$D>)quGDcy8agB$JSN1|}4Y(DP(kB@{<3#4o z%;K6rxE`5f=Z9K?9O2F0-U65cTs?pHw^6fN@u zYhva+IUpuwfqIL%Y{_{<^O_VgkKlg29#avK;y&5yXR7$e8+%>Ir^pE$|`U~ zk#xzwDk;?%)L%n?jQZ{i&leATlX4L0Iqx8zumgy01m0e7U1qP&Seus2i81%r3$=K}eKY^cM$P)Fj~$KT+_zf@ zkzA+tQ=FXiHvPzCEt74Xo7%Q?qsS*}+0%P?i21jo+j2}!rAm?!K_!$VW0z+h8hm8q zTy+^#@=Mrm)aJvEJj=??Y!^u4iE(1PfGsm#3<3>Y_WFL)cw7A4NhswQTk!BSk{xuoSJQ1&3(7i^$n9*li548g>`#g^ST@M5wvf z2IC7m)eU;tS}fO|IP2uN*sJ?{fen@7b$DKI@-~VL?)IrRXLLf7v)^7_-;sJpj2=b{ zE@pcC7lLjf+;Z>uO33oOdzTM;KHvUhhCqTJy41x=FY zZhio=lYv&GfugG7W7u8*UFzfe7Nqa6`3T*B@HYK5WrXcYg`ymB9GZL6(TR7>US4iGRDv zki)r!&1n^xPQs24E3=~VfIN8?-`-s4MV&C54niCb0C5K?=F2u`08>yOaTD&=j_jHpYYJ%w1*te0i-IRfEC3ZH>$Hfw3iA{Z$ZPw;NTh2O=UrQeV$6|C2Xav zD(W*ZTeJS8`LnlYJp4zoVpn~N5mQ^JMxd7tm(@}e8r~qE zAF>{6tu@HZ|Kb2%XZC7nXrP?kkG~mo*$K)ZviX=PXCO=78BJDZvc;K%MRIF2c7(-l zaW#+iZ`dT+IQaYUO}1Ix|BuHjX)wy}jSQ>cSJ9!PC+_a5{yMHt5DlxCAdXpk1ljDI zMzQQzA>oKw#)L$FTo;_}%hjc=61z;u>*BibMbnHaV+?wI+C63a_(}Csr>T%sAm$oz z!cNDn~geWT4AF)b#ghUIhZmk`)4? z4v&QxrlsZPrYZ%RM3ERu|F9}eukn&%w+>>p9v?BsDszLCp5Byzq$Nv}dmrm$Y_Q3+ z({OK(LBrHh5V+PBreu^gn4IXx2727`%OG6myvTQI@0DN9secno4dUkTn`b!_h=OOX zDc=B=v);_S zDiNVhmypRbV2h+Iysk3+(3w?lLd!3XpvOb{c6 zxH5j<8`Me}A(}CiaQV$6D|ZxmM{}CJ3Pi!G>HRDulK|Y8x%y#kr-NG%v*xn0E5FSRd|2 zF;xmQPG_OGbIU021mO)RMtBJw)IpW%Px!CdOd>9rGNM-gh0i{|pWS_iWIZ<(^{ zh3p28cb9!?CDz_joHgsA>9oh;`RB%sj(jh2?k^%Qo4T)m^^WCp!0LtDp3|JoysE4> zV=4*h=!T}FXISr~vLd6fQ^8}~WzO7lTdw%~;#qoki+pcTa8VP!p!}v8+|5|Rt?}2Z z-iGYEs*^LrMV9@+O2+%KDT|HC>c4;AG=IEx>z0_u12wBn=2M@f_hzQ)wi4&($gz?tb={`tjWvE( z-PD$Bw0uughx*r6$vd`q{di{}8U}oL^wKXXwg70u3<>k}+nU4AN(p1z$Hr=3k^GVx zo=ZY_+JJC(#x2e-DA-L(N?l{$M+4+cOdKycHR+<#v`)08s4suN=>;0RSevlqZSw$| z#DGR1QR7&f)hcQoJMLVxb0I4a#hy-E8qhY=E@MK*h!E%g7%0)6-T(Me9=rVPZ2={b zpcHzWzTcnIR<3rtSJ!isB&I0b+?m+;u5A6by&*tW!7K&V`wZ4cN?F@{=w;r@;H!~++CSd%c>iV?jhaUweF21b`3?9BL z;*^-|u5x7Q%BH0!N0IcyRXi173{xFL)RTQCR95-YJR!6ei=7lq+%@f}C>52JJJXTz ziPmk{kUh5i`y5dc{`ipEBmGye-l-mj4f&p%2emhtdd6aga&`7vmDWjti}gJ}CAF%` z%E|(4uVE@&tcB1G8?`LXRF9%3D&G_RAd?C@>9ypTJQKM&)B1#OZ11Y?u-L$)ZClG* zl54PHWR})U^8C54XD=;no#xLI@I=gW^o{MFO|`{L*v!{^l9Q7eW*lxg5W#Udw>^uf zn}LCW5bE%)16M#+X%g2YH)YBL#mdN$iZv6hqbdma?60?`e_)uzQTZ-q80Ql@jnT25 zm(syDxleA+yGx#`+*>aiZ@vFJIPdlA2PE;pA#eQgp?m5{*C8)fchNG+uik3Yd4Bpb zWkOouRZHKQ+ZRqwW_|He;f89PPsZ3JI(Md;B%edaqboUWtOPJqu-RyKOypvtt|GbZ z*QcAom)+X#;COc$YaTSOt?+&CxhK;n{l1ejYUB$kwJ z-jBBRrZc^7Wy5@S{{DWDd&Ca!}z!} z6%)*FZ~s*_ANq4_I!dd+S;#@Hj^JXG{-HVdGrP^uhhTA8PC^)zKOV+W*v%p zG%+vIeYbJ~9l)yC|3%>55~Cgdx3Io=6gPWI&$_jJn?ie2=Psu{p8X_saYS22WPw{} zXS+2Yu1-Ja>YS`|XKRyX<>6+eH&e7U5(+HNeKj;Hl3eln!sbsIPq_V4^+dyqn@#a& zY6BTCz!M@MHDmNwy_y#C|DZ<{cxXa1j2{f>V3=_An58J(MR zc}qrmtK621@UXB;4E+VTX#mAW7zl|W;6XGrEe;3D%O5v%?|10f#Q=NzRi_QodOS}n zK6jv^d0abu)s9|Y8dF_qA#BgNswgR8wz~TFIx3^}%%97jce?fXgHw(!O=v3;i zdC_>3{%qOTplkK#Orjb0bBdzo3VLoPJ3+{n1GI! z+Hpl{g3A$${J=+;^jnvE*p53{^E;)}?>j>56*gc1U)XBpZ-bZ-wX}M~J>&x>{R&}k$t=9d>birJz_| zmOjFfZS`htTttS)6ssMl4Nfd*86EZPe!8Ca*cq0mCMD*3Io{d4!*<^6%E`%3W}h;$ z%a;1lQN~uyJ<=RCkV^wEiUt*YTi66dF&QMIK>(%K ztYHWD?lsRX(NCDc>D7F*R!u#>ah+6?>h$V$>ymF(JkM)>P&DuSZqo}7a0=Gm`9=F< ztZ1wl>eAS!>@lqGp-iv5xfcTXXQfsrw<^@v_++Z1s{Qc6sy&>-@DU>t*A+}XeY-z; z0kr0LpZ+-8u3lVl-k`O2=HM$+W)j$5C?S)x3CMMT3i(3OBTx>9wXHBOg zy7=O_oqDL4oJlPu^8J9??*c#cpXi|khz5j%tmxXL>v@w`2npwh7u}w^L?>^m962ey zvt^xO^J&wdSLw39eqFEmF_oC%3%|0?+Z6x$6%qgKBAF6zk_**-x|TVNjOn#PK4d_G zqjasJ>#xwK%k6U>yk7?q#O8gM?yFBg$HNB?b`r|89zK_v$N%>2+iwO&Dk?ha{fp>D z;BSygNMi1wr#<8iR^?4D5AAWY_u((GH9k`q8vmJw)b_m94vErdo@nJJbsWikrDPY| zs=C02gVRb~=0E+$TM9ZV;8?F(X9`y8iq7)j)+Yl&+|eKXHxBtmWryXlx_BvnV=(V(Ked1|sO^pn?HRha3ibF%caB=RFXL|KvL<)t5Z0 zT77NpbiLi9SH_&H^?Furp|iv7|0bX9svsg2xTs^Zt@kSL(I7 z^>(4=u+yW#JhD=aH!rc0RG)IB&xPZv@7|tJ?mwu1|GlB1`Ca3M@&q85QiI57Ek36h zLL~B_sf$X~svzo4pR@5H{7*bFXoDEP2gKs@rtthbf*WRAc-VYujkCSKqbS;?W5SnH zwZ7xWD2-A9pZl~*LALEqAMrAg`iaw@8%}VOvZEcc5wd;KFu!>9YF>jI$cXmven$ta zJ`{57cJhe8iu=)vuu=8Jb3C9eQdrt=F!2oPk@enWq&g}%>aNj6wSUERHH!L! z+HCe^Y^sV-32d$s*=UHw!~qF9ie8tPjVPN$f|a`9KYO)hbr8&Hv-qF65SJc8l_WalfW^Mr{LmqKWO^@{>X`mj$|FV=%?+i zRZk1HIQlh=jo(t$60h{5bLi7!v4F=_EsG>O(fmB-$FJYGQH(ea50xQecXUSceg2uq zc_BrzVTtx;{KB6?UUqA{5nae3Jz397euOrxBt{4ww9cA2%2V*tUweXl$cp*;KWpwyE) zoPK_oH{#AmtuZ=hXs`!HX5H#TX}knNooy{5Yqi&a5 zYj4-hhT9ePXQmzCYdB2Hn3yV`VP#SH_H&!!sY#Bi8~#LD27fr{T`Ljs;ohrPH9MOG z-$4_=3BQ7Rp(f3JsY>FduDoeYn9=g#6u6$W2YY9Sk-wvorxehKMg3C0-3=a6o9-=MFe`Vm7B!3qaxE$hT0Ech@5 ztih}5Y2I?Rkd}(-tsBdxe$d~wPlvWNc0du;DU|GGx*Y}sEP(4m5dQD;Flyq(f+Z%y zMr8U4k*8J`(M9qo$6CQDx# ze1_9yEVbBrFH6&yZX>KtUX05LU$3e*c*XH(?;)oK8Klb zg;;)!Feex7nZO}0VqjU%DEPtzG>tbALLjgGyr!xspW>kIN~+ha?Wa9DWV}<5!+!?v zV>~iV0Uq{NKaCUbMCv>*i47|UHHqQRu<%m~rQ|5A3qHkxM}2#{q5>ghWeG{#zd+f4hu{CesTcwc8Qinu)FX;uUzA_*y~W~ zJi!zjo5OMLWrkZbK4tht61T{`|Cm>L<>&I>${tjE*mt@w-c$Ceam?sW?X!yOY{!g` z_RC1e>}U7db3A+}Cnq#&_@dgEsH?^J1~JJTgm>&F0)S6-gk@baQ_-X<@@nCz+`!+* z*ST~R@@u9iP~lY*K|rBs0VvbZQeX5P^VNlW1t_@tb8>RSGJ9nXN~k_tGMrPj&l5fg z+H=-;r;o(_U^eq~`X(5kYJxpY4qCsTtL(fd%D-RX=UFEji;UQN2@Izc33$+&_Rmx( zAjwCVxbAa1zJj*MZHG-Ilr0{NA1>kWx2-Jn*5|LIL6n35irQf%)kIZt?=mx>W1dMM z6)=~pJ&vIyVKQJGKeguoZKc9x`$mUBPdq)U8Jy(cS|{sjTz#XHLqYy4)r5H#m3fI% zxMhW6YMl2f?_u3KfR;P)Pe7{6(-acEeY?LsYsnJZF@s*e{(La>P@L>!1~Q4YhLBO4 ziNK6MJ5%>`D)Ju@c*sg3gT!d~-egRx*mz)h4)_jMYn-VPp#ka+o)m2 z#z(oi2Uq|#ywMsG)qO6`INT4VE!gEHQcVaKo=x2s^>-;Ly#sYt-DR{AwA0NSda8;w zqphQ&ETgTgu5a^=2$*{2n^w}2%fn_@-Jdm2C?J7>0vJ|fr|EK4@NL}Jcn+qJn3Lz* z``ozfriXrKGEKLw89Vpc(JzlvUBg?im<_v?1Q|bl`pbPIEIn=tdf|=RhrLPV2bVas z>-%a`i1~rFU#>gGi-~iJEgxhg0_;~9>K+SEb?N86bmxmW_j~?3T%Tz5tb0&cIgERp z$e9dto#M-Sm(@a_D%KW1598{3#bBjX`7=((hdFA$4jJ;!Xs65E34Xr@NA<3_`cwbZ zpaq^?jrJUnzuEM*t69pBaiQ1#Dc&7)VQ?8PpQ~<#go~V3EF6}p-k_#FM7D3=tdku& zdqsWPoiykAsIXX#VOM`0$+*xf`gw@M+b4UMK6o3m;^aktZRhO%y6zu?UaZ}|aoL## zYBJ`dhL|Y)wk`Zrr0^{+6a}${tzmRO6Tzq82pltzeR0-BiDDa9Mz2zwZHt zFM@lQXPun}F;VS!r5Z(+?K$h68)gi${n@3Ys^lR+-Chb zs(0R__8&9;b(y<whk?15PiUweOE!4;-NuzNza%&1SnXG#CZ%S66-{Fwnn{szN_Z2gwu~Rjq6sjE_k8Nth zkG!zT@$OMcMY2ibv-S56*Odq>)Y>5RX?@wB)tJne6n*y*!AwsqPiN|+n!G!+$KFzX zd?%Snbw(BIcR0@qU-y?$SL6Peq8ihLNog9WS1U#8qE=$Duw z7wcwG{UqI&M2V8NM^pR$6!z@fJ38Ln_H*Fj8q02TE6>fdZcVp2pSkO|QOxsS(Gu11 zzI%HA_>@}NmYNS7*VNyjY}zZ^4ngX5c?&nIl(j9q*{_rNfj!%&W%~XaHqZHYQ_|dh zgD2Ls!@+EerrKoyz!wvmscvNoxM+NW=~oW=^mGPJF2@B8P8-b zM#e2!aOXz5ZrTRE#tyG64;3Emw;}s{CnLgV#iW-2A(VTh+~Xn5P=MuW{T@<*rtLb( zkJT_biVB9QQ7qJB*8R4{~?_vA8Rw>$A_D95`L7#{MAgH`C^2F z#ZUJ~GrCJ9+P2$OG0s(j^H0uJJ>PHH%K7t8jPWQjH!gZ%)vnXckV`{H&z*YcxVlE> z{#l)kpe_4RRgEN`rpEA+wW&Uu&{0>{zP2+;R#f|TLT=u3`8U`6ftT8Ks+k$%4eyl=V+M7oFvG`a-jHwWi zis>UT{AaDyXj>n?dlv@TVG}pA@1GGPJ7DU1L?RU+&==kXieF*kg`)=DY?|kJ!88cC zUbIA9;zF2k^r$pqei5(C$$ka}^ANN47C!&Et3+lv9!;(f?o2kup8r6$XtNpWAqV{l zlM#$dO^u?8N*8%~`N8t?iTK(X5%Ev0@u+~S_|rdsl&FR{b3twdw;&vnKL315y0XQ6 zY@}CPsUj){v~Rt=3}{_ubQ327UwmC*11{-1w6C3oumzkl$&-T&|Z;Gdt{-SX{2 zyK(QY2VH_^Hvz|iKA=sshRx*u+iu%f^yE1$sE~*v5s(}>FvueIj3C(b^VZW%|E}1~w&jcU7uv%4RTdV`?AL zGAjJs&g?yg_ray?0J&|QjH9sJieG`z2WfAcYd^4TMB|?c;z8DgbV3CDqcxjDmP&eK zg~oF2cYbbhdoweFhuSQWmIx5shG3;S3}sOh&;oZROw*W)z1=RrnI0N;=OsxV zZSAMO)8Bs=t&apOQ-`5U?3qapiWFi^6(L1y*9nWmhRQdyZs61NTXuHuMqF-Ym>rVa zb=yve(`u1PYXXPX2`ytz%jq#o{fW2x7y0(Y(W6RYWCR3P-*(0bCt<3jp;1RMZP1d) zxeh~#1ehnJ7M(&Z>LTBcI6NLe`##c<&J@G#C0WV=JcI<0LO&?`=&*V^7ESuc-)#I? zo9@Kn_H`+^kR0|5x&LUG$i*=Fk|=6A86jZkhn`i5+}mc=jX`^x{f74KWZW?OOxEmE z(5NCtK@=y5l7yIy%pW6oP0yJKU{Dd9!a)qE^o0OQ(U5H1*y?x5TC$S}=cho!bR|S| z_>zUkNl7ZO42)=kNS8uqPs+42qcw;~ll1j%X_M18t5G3G2h)p46c#Q(>O(O)0gN)- z2_=e-&QSm;PjvHmU&Rn>P`ozxjffME(3!Fq#ZbQQd5Qgazb2#FisFpGbr2eq@FX8l zMboEU<|h+2+S2A6Z~hBuvv4(&2D_V)3It1i1?zhJ{(WQG&Ea}_;Q|dKHS7L^2VuHy z1BEnc+O+bvN4ZG(gvo(sADv7L7y?T#WBjHO(h@@WOl&6dlsL==eAE{txwOd*GBa&8 z?7Q<;htH*@X2@Pdm@>;9PJQ@u&;RQ(mm&)%-3)r7?VJGg(47iU0=(53C5)ixwh-7+ zLY>3SaD>Cw6LHqTWrM0_sDh`7)G0E;F*E?e)^6?d=7*3#bGBjz5K1Sw*Y;-SPSyrA_$Zn6J2mc3d>3#SF0h=O1sSCf48E zD=S5)=~sSPRods)L4>BfLduDE0w-%U0DyM{VTfV^vCw(YOULnw+LHDwDz+8vHC{Yf zOogI9!a5@C%FA3_lIm_km5PDV?Adkn*)03kly^6UqnjpAW#$PZ7DBDpF9EReO@QT> z;;i%TBB|J>KsCZEuc>%G|=s5HE%}hjZ3qK7M7K3{4>Z+Ii*pt() zYaf>bQ~QdcvrAq&HpaiB7mPU5i$-!K^9N?0)ZI@HURwEqO)O%Xaf<~92S3YL9{qkL zEkqz03X}p5KYUnJ>4{og2v-??R?N48CI7SIl{uy*ZG*HDo?I*&*=%TAr*36l-t@#8Eh8TQ~guyyWOH6A*WF|(~;58V%tcTgv74SwN;Q@fk zt5Ox4XX7J92`kQ6;2beySMjoAkXPWe6Ra6K@VJS7}o-RUID-V-T}W7tS2l z_um@HowpX5W4*EU>D;v|qrjh1I1?~7jN5(G?;8sWS8-$CCxeFt;F=^$Fhh+&1Oyn; zkH_dTK*~lrrte!cY9)IWsj}?bT*?lS)UoC750M+sw-gJ90#ZGDQCgE68Thn^T{&?; zZ~%N?PwEdQ^rXYVlT47J-x9-VxZUsFzwZx5^g3pGKhC$vs%j2}2Q;qUloa?-#A{}8 zU1Sbo^0h^tU+5KtiXXV$$<1vR?{{2LkLu{As?VT}kYC=QlU!r)R|S0SJF-j~So}iHlmm5S# z38h2NPk3$RXgi#egWbG}ztfKfAh0LXd7^`U#?EE^KfH ze52rXD_KJrwUX}k%gAgak3$?7Vqzo*92bKcp)fp(FfnrinYd2}=sQ8FMAooyyKrE& z<6PfO5hrXVM0dWJvBf zW>~lZk<<`J-gIp2is%c&&h)-T;AA$}wGhN1Nnl7RdPm;s|0!&etP0RlErClUe?a!; zB1?1gZV~|<7|6p>ahKtFhvM&;BSs^5b}4I_R2wI9cX$FZ)#&cs?X+`p_UbOMIHJD+ z9~4tq5FG5mor_Gb43~eu6`M>aPi);b_N<``8aRAU=qCq4w1q_j%rNA zEoqUfi<1_hVO6-owu4#ho{&lf6i@kld~UU6BKkwa$| zYoq1Y>cdao`9CrNK=HDcM5YK|y4Nvs_^dG?C{_#-tn2SC%Z^1iavCr0?;2IYPd zy*m!cyD&5ekuMR7iEa?}{)~`Sej6Dih1>`6z%%Nw3Cx?}!M?KliRC>BR(8f#y@#(n z`)c&Vs9)~c5eCBgBqma0E_;9%FdJ&=7R)xZDz<*gWoOxWVo zy#>vi0E8H2+7D!=j7m@3UgYuB=L&d%!+hlYi^S}75rSumz2pU2wfuhO^>yvKNAc1X zV11mkHJJRVmKYbb1V4gc=-l0Bb4CaQb;zR18N=1o_Hs|)7`caSM~L}(I+6WsRrHLj zL^jOGodrBjq)1PrLK6OGh$=DR6f~B4rtY3MSD|7wO9+|C^5vy zZ%&?ef)%Js%`hdDpMapHP#wZ&2vonI->#J(_i$`ufx2|@VrH!a^`UF3=4vOWDNB|_ zIZv7~V+QE>s=S20z-?m25(dj4TotPnen78^$XYal0rUgWXV2FDKP;VhK#y(P$3w`j z6v|4HB%=tCmX?Z=N@YZ3Wi}9z5GkQZ3T-rGWM-6EsYoRwBNQbgDk@6v=e(cyzvq5X zzu$G8<2b(Sh@MJ0k3SoX+(l)=(liS_4Gbu+T{YqzjZb^QM6a{5ClXrV8tXZWV*6p=48^W$mfDlW}X&ZW~?E8G`j zq7~!G7zz4yrzgS)wb`e-3#$R;K~7#CAVQ#SPOGhmDC3e8a}`LEIBemzf8-bLJIPL+ zmTnp2d2FbMvZYm7X{q+B(k$MY2b~75z#2*nVc?SjcbXm!+imM+f-p;n@PmbaFDp&x zsi3v%>C>kJ+SY7m;jD*;#GBe9sarLmltX52>}V{Dusx_(&iX7y1bUhZR`eOKET+&x zQ;3>TkBomMUlw-a_DM!~qg6o0u;lMwcJmKPMxhQ)UCYN7*-{{nz&DY-9*ZVS>>=9h z=02qbpPNL-2apI3q~A0T1L8jTYeo|YcLX0xlPBgoztK{OCWbB09+rOM@k3(KWTcMQA{e7I@fNgV=h}fo-tshWtIg|^Htu1I$ zA!$dvO=%p@FTMoBl~dWqfxpPz{aD4Vg4*MP=b_}_yvv`^HcDMRh`3DdQ0~B?xFLX* zAbTwUE7DIan~J7%Tm;*9*V+r<8OB+Sx0pS_DfdmO2Hl+2fesg0Y4!);yYv8zP%+19{N|p4StjC9+ zGUdjqxs%*ZR8&_7&KoUk547!{zFdzPM>8+%VGu|Rieb`t96N!&leKV%zw#o>PoGP= zL~^WCOfu3`z84A=)xs^w-)`~dPjLp-4qUrt&0|PLVUeI*LqgAyK&>j)4VkXOrp65` zKm?)nt8L+E73oUoK0Uta#ixZ}Dd;Ey6mvYeHV!^qA{6X2;qKbsBMeafK-?^*Dq?ps zzJn8&QI$~?6YB}K6Yg!=4lx>&X27S`7jp+b4v&`C^;1q`@*|Y!L9a?f0H;ZU@B03x zLoBG2%CKRJNRy-&p(z)>FRq26EWftK$Ax8oaAD5B^2V&reK8jZz2e`6gZ>TYTVrXF zb8HkHUho*@B-+Bo=(S*A_i$TkVS}YVOrHKM+*}0(y8u1mw#0lpp)>^S;0kZQ9Vr06 zH`UMU}qltH5lZq zmb&1jMk&Dh7#oMM$_%15`cZv=nGq9}_p2XDajJqxY>Pl%0oPx^_3x+mTby*Ix}YfP zPx79a{=*^%zP+8DZF*6w@4$f}z#0T_FRRQA756W^iS&PS=kHKw3ePMa|3x7}?;h?@j$Esx?6IMD97twJqM#e6b_$cj!L{BW zK?xx%q2mtVMF;6xLO&GsxDVS`L_+XwOZfdpFQt}W+2VPuf}bqV2VjwRq84NEK6x(B zc*&-(sV?QWwwQ6v3fDV7-i@!oohFzqKG7+skHoEss5GYZULYTy74nd@_on(n{dVXX zAkL0(bGX-S>l&mab)1>XB9Gaj!4!ANFh4j$2dSFCxBtB7_X6NSz z6JSusEo+eG#OHcQ6VP>aiO?$k{XL2{LgJ~PwOyVEY8RD|N54adz@hS=T8<)#RhA=E4d*}gVYI29$u#37@X-T<1Q zfS*fK`^NU%1qfipDMuw9@NDFKK$WHZBVcI}0uA8K2_&2+9Xj`vmY26**dKgCq{DIq z>zuWsNEhN}02?uX9Ep_TitS^<$pSbpW^g<{{t(Pgr163n3XAtO#n^;|duVsYx2myN zdKmDG)G*Y6*R>jysp?bntY_9U)yZyDMCkZLHVLQ&gR)NbN;&5#2GIzSF&49Nl=8R? zCB)r>RafoOrAMHx5+0>DyY=d|jFVfqEji(~{`|M0u5vmn+=RC(#&y#54W|d;m|K3S z%f$rVx5zwfXz-%)FhbErV3eqvxiJWEowM*5Ap8p~Uw~ov-@YA$&zPe_#7NVXJk-qj z9wRm$A{Wp!f4WaVAIYaao)`^KY~Hv%p*?`;PinhIy2l4HXI*G6IYG|tqU_(5y%-Twez&2BF&Gbyn@N>w2MWR|0*MZO~7II zP}ibBdRAFSV;4+?KdfAF)-a31LUYEYeV#}N2^y~57SfKFmdjvk>6lIs$Tyxf#>}Px z4~}g0_3bxx^LPxVL@v=wcDohSJi-$JH)Z<+@Z|Ax#{(XUc7XOk_r_Y$mU23T(onAh z%%yG-CRZUU#Y@#OeFTS}h$CUkkoW+wKXlbCa{Ya~_5V^+qeU9czXP}Gdj{8({rNE^ zV1e;@TRVgE${QBf-g4hJfANf`%fF6_sw}&(F~L;h!bI5Ak$t`f$<1nKc<}9)!}YD2 zi)koC-55F;_`p@JYezATjW?rMk&hz< z7s?R20u)aYEOs+|L@cq9HbwJ^;GX#RXQwNf{ zahUa31n?@xn=CAJ+O%mBA2gnG-6v(47`s6?V2gSG+_tSFKh?hr4)3z1?cY=(Mg!xp z?|hXFtQ3(?9nzHhEv7d%5z;gw_+uLqQsJuZyxG!dKHbvH+AJ^qq-ALrxw0R?OsA|) zn7VpsO_tRh6*aL6z>tXddM<(z5cIU{Uu&tqUveDLT`*m|9|Hr()i!tLpz>2MXYn4^R5t&ws63Xw*b%Fr(W6ph1LYtDPt=l*bng zGJ%9-fHSP@yYvc6tq7E3hyUmqy;g9&bRQoq=Z;;|BZ~~#4O2nRCVhJ1}xRB*ei?q1vtg zgjKP$6B!GRF=5SDJ!6LIx3!ET zYim~UJ~I=OpM(T}I7WOM*D_Hw%?y!3L0NKk{uC;uQ=?@LnE(*c%ev+CoYTJj0_E7C ztL|^lC@|rjA)|<6n9@jc=AL_I`(+3B4fc;4a%=PNL>M>FKi~0tYF}sUqzB^%i>w>Y z-4Qu^;%QNV<*3E`0xI(TTW771vst}c44n1f*?GFP<-ON;cdVIz<3nZTE+7HawS070 zD*sW|)@SEs?68fCrR0M3+QW6}H+~NhtYQliMI%ac$|dNB{or-rVE6Da(Fem8?Irjrlycq zawG8RvK2ON{7~^>?AY;3a^KxSru{iVXTZRLkDyn?eLH>nbmEQo5eGuVfZ#web1eZa z4QTolG~!cMe%}>OPo6pjS1m*hpWoh^B0;-Y2|pr+erGJG;xgiw2>6D7Xt$-wV_LGE zAYL|nFAFf&Fb$p766L7g(Qx7Y#`1BDWC~et&ov`h5W&ck%?ME#z1n|&P>?G(o#19h zW`y)^@Zb?W^<_@KI-@iZRaG+OTN#eDmC+7Bz8zC8QExro^fAH( zIrgzXN#ke>Y2on6ue*GnjfgeL>aQYD83^~{)ZQGf9zQz?@@l;yZ?^BdCwP}oHvv1 zx*6=D{%JPrZwV|wP02w4eX@+iJ!W8Fu>aRjmci`z!Q*Sl+nOnK;}|=LR{=j~c=#dR zFUwDmSxDKhwc)EHQ0n1xf1CgQ9p{rLS8RFMD5<1trPe_UnPxp>S;gDM!z`bgd6apO z(IhhPDM_E^jHD71nGHyAXfC1#bZcL=o7^I{BN)d3#f_axvie#C4EPx``)QJM#|Sse zdJUy+>j1vs5~~3kIa$G8JCoBQa(w*SG97X@xhRt`E4DnV`ootm`6A@%`;A%;?GLT3 zt-{TZMQjML_1x%Qk$#65M0S{&R^7K8cye=!RMNhT>UEpe1#p>Z(a`!n7!4#41X3#! zHK`^OaDRTx7e)rka=VDMq9c$%=NH~-pXA(YRjR*HJJ}JgV|rOgX+1kPH&wGhNkgMM z3?p#U4x|(K?Sx)8&{$b?G^EwlX`dPs!1YDIa{*TY8s|HZBO;q8s);Xn7sr4jZAFfjvqnc;#1>6g zYldiEB-@DPPEAVVtyiwKM3iuk`bM@!g~uJfoZC-P@l$e)0y+qRSa6egWbnBHe?({E4)24yIJd7~xobsjtP-MmH z#4aCBPmJ>&c0O%)Q$XL7qbydsJ@K!(*u864BNbVJ8-@+DRGSqqNrVT??ZoohdP^b^ zlB6NbO2^js|_pfG%#tUDxR%&^{##W3}yd0){zjj&hk0zTJ(Zg@+1v_O2o<*k#&Gx&5G8V4_d}FDTiD?Q;|Sg zCAGg1eRZ^b^HnT6;4%!Fp5|ZcMAQ|uMZk-Eva~{9>sVH(&R9Vjt^Z#JyX(_exlwM2 zXf;mjvDk~feU7y7)sO0}R{Z1o?!En{k0DyRfjSqLu5f$utvt(R{-p`sXlR9-1nAvA ze~oV!XxoFpoHWD&y9Mqm{N?zAMJi@QapP6Jip`G)CAT`J)p5v^&TntEI~RO3GD=Rp z{sp)z#O4J^cZNm@s0X%R<8WpTDh11sC~cW7*QePI(9O6*Y|Q1!cPVaUcwUPM3a_!6 z8ESqXdLI642}ohbLC>p5GZ=xU1Ijat6{W2qN@L;FA?Jt7dC0BRFNzz64QW>*y zzhq$5WbaGGyFw`3xJDbkJRdW+=#!`tc+|AxxBG57Z(qE{B1vGW^BqQeH0@wMK9=tkzocrbGUr| zeC)=;=s*`e)2~}QSCx4`-5ewwCb-oe{T!DD2n(AwRE13CA&YBdJJ-K|brTp{(5J z_Ut~b&p`{7b%h;F=E)_P?t8Mb=a(;EW^*kam~hSY!ci#I3Y^@}dW<=B)H-}jaT4LU z<5#^nNC$y>IdqxU9e@XL&VafkH|U+Xuti<#9=yFX+%H4l8_CE6+M<*7!QL(Jz;b3Z&YL&X)eW;r010FAI)tOhc2N83vuZ1g5^EZ;8$s z4@rPdAn{2rM;o8C&0b$R4QUrBImEhSyVbPF2{3P13i}HOYPS0#VNE(o<0e}d))V*J zM|nLs6L3g30;hHK4#I_4U;?2C9wmN{2muE35mh*tKvPwBE+$BBl zJXyl-mnW^*NyD_;G-Y4GYpsuZD$w)dB5U4WsQBu6$^-Vgb)`o}c7YB4e&&)#xBt)# zwbDhh-LatXuHW7_oiF5^0zR6hHfDYw-lbw`N}Rc6(dNv{h(CZ-KdlTTiTY3Kvu$ZS zGLHDWw{I&I)B_Aain<8b`W2!>Na0( zs!yFHaZZ$257-R$Zn_@t@11!NuQYN}W^B73I-#X=W*wM~gr;Kj1X@w5=Muu-bYE?K zRCW$P6(#Ua0cnCEQ2lt8KGLXZKJ~Y8V^jIjwPk^4-7OtlqTX(SS*B}UysOW88<*7I zU%)#fwcY!GW5f|`3Bx++`HQ<6->Tw|d%9k@W?ps7P8~6j+-KjC(o%+eh15<#B*Ctr zEIz%ycm3tFYajS7@YOUuK~M@^r_lUxaSLt-!fxF?ch5Vacjj&Pgi^RTfn_Bx0zkSt#K zzu~06&y9{o;-Hb!*L{ujx@5eDlmJ#WSEWI$CiT+E1_TIom7_tEO}(y zG_RTq8ti((vBH-gWe_ae6ZL;OWQye8JVe1&{^8=p8uB=uz|6r|6FJv;l>HFs0B|wU z#I)h+vl<>xv)fx;venb)1927d%Y#1RI*>GR5ojZ0W4Bc4!S_p1h{=8Z%s%TQA zgvh5$7m-hCqIGJ@#@cvk%OBVM^sUDny~6u^Us17>vWls{CS#2-Rho{@H&*FWRdyNx zL!`Q*Xn(H$YcR<-2+pG&KF-pc!+H^YGqM9wP7L!K836Kq6naX;x;;KIHJ?LoIU{Up zjixE+Z_};Fu@+e=G>$33rhQ8{e&$D+D-Tmu55pv{{J9=B2b85Ay`=KbX!LI%h@Ui{ zbAUC)d*+g-K%Y&DM95Zzu~v;j9Pv9&{>;C@BRVLC-42 zHWNQBWTm%n8;S>oxE;Je?CimsRPtkB2rHRivI*U}TY4Yn!wc($HX2`4p+k@9#X4%7VxkAN_gS08d9n)6pHEbpIyFQDNA5Ezxi7$Eh>#shO0s*&hPKHZ zdAIEtC*nXv1k!uQj&Ta({PVL@6K$N(*b$7fd|%8gH90|XaSvW#EgFS+b5+EQaK$)t)WNvTyyJX{K&!bcW!Y8 zAgjz~r;I%Jkn8Fvld>@HyCnX0rw|aC%haJFM-Uz1J4R#^hEKbzv&|GDMq@#`WZ~Sa z(w2#8@@=csank`gmag1+q_0SI{ailzyu*} zASa%kb2)JNviA4y%LGru@&m!Tb$e^}g9jJf8`tcryYl49VCDH!QKUQaD2JWe3N0u^ z&)Gft!w$5lg{o+4hXW=4#1E0yKAt6Uu&>*_DOq|9fGva^*_@zgFhvf*cUUZSOT}pyV0cm3`pD1w@edD2Fa> zzWs+}STv^uz_*wvdhJje3oM2ZrjTw_;BT^fB{{)aA4k3{TSCwK!6f+TWbc%`*wj+F z$-Vp?Zp{k1j}2gOfZ}uNYY-1Tda7j^!QCk3uHCrNH>HrmF!b>8?lW%0pWjGe;Vqj* zs{iA?kdQt4d}#Ozs4H|-h_9BpH^N}>Ok?fuG;_~EAOZ1hxnMYldT80Qrze@cMDiby zqJXF%s`xiZt?qD8jCYtc26<$v!`a&glJUR*4>3`P1(~+EgA^@Q*R=l~c&3P(@)d_l+lpOCH0HIIl1GX`f zF=VUiuwfSn00P{+$KhQ+^;Dt15C`!WMVWK9<3{G<96xcQnal(21?3zT!eEvAw`ad& zhL``Sjmi_m2UWa7tfq;XnYf$qHVBB5g9usUgf*`n-z{#Vi1|rc^^ktY{AVvtD(@5O zSU~j#nl!>Dh6CUuXCmEjXJ`|SB4bVwYO+~5if^%((DCpbQj78tZPA$Ypb2%k>^f63 zrdLeJED}0J#6D) z>HZVE^<&Ev1|cK{=%LgWA*dn+jROHT6OHC$mQbC%O9Z4Cpbmd@7qai{fSsOO-lyq{ zX+*qVlF$vm{F6XQEYwE;eUN4XT9zQeawk~75Sv1VW&kAwCdPx5%?Gv}c-OMc_-dh;&I5Xj zd(AuZ)4HWgRauJAf)IU=001a9dF3MHiU*$01L6Nbgf&Qi+nJviX&2o1T0#(swNH7L zd6QjkLBV}&L&!+S0!WKto2zHb4<3Br^y$+M^`q#nkgq0b6}{QG^Y5TdgRQ`hM2W~z zUHJS32_A*KahbiwRK7fFAd6v|nlij>+$MPtSoNh#A|QtlhE=$}+)% zQWLral8CTt%pBC}kL3z6nMUnPoO;0$`hqlm#K_a8M;>|ew%th;H_k`xm}@0(I=;l)BE35mu}rV7l)@y+W9E>=Zb}p1n^1inA0CVP8%C;j#_K`zLlu&g$-^`_5>sSD?p-%Wdc1H?%#f(ogz zxXS4jd)ln%3CEcF#WO@<+-{EKDyNq5$XU32Jvap+SIzTtm0DdEWQ6tUlc+iz(fFC3 z>4ok+&5VuDBS-UAy2acOl5Ts?o=r%8mmWP(%Xc8DngPAdg?|60K?BzLmWx0ric>%_ zt!0k~AP&C6BX-K#HkEfSW{IGc5V3)ri=uji*UtET+D<)V^DlL1Z38$^4$5sZU37Rw z;Ds@(85CNQV|_4RKd?UBJn8E@gR7(GZ(>P_oN}N%pWhK6fjlWlvf(U8SYIf0=*S_X zN6$R*NJFYU-|rK-#swEu@X1w?fV%4KO>}9yjLjnMH(gt`dY_e5XrNvHkBm9~0VMQE zAw84i2Le0Fm?4KAN_Fje7xtE$T4aEurWaHe zUA7Q7uX}fU)!qTjkV2E<2|@-JFC@G`k9W|j@uKNqeMl}nFjzkuECD;mClD6G(QFd~ z%-j0Ha53uTF|xtVglsOF+aYgG`+666O@KY4S@8fmc9}*I>xo4Jdvn&h8{%&`h%PZ~i zj7{f9r*Dlxu|Rk2!Hs@-BO@X9;{!$qFHbpl`u7#MFi&oHC+tY+AH~KZrtK7CRj5>jHbN9bsJ#Ma%KecOnN$fm`-e@K z+)3Tu@O=85w1LGiDFUcRmz&sWfK~nb}ObRY9RfISSudc}4RNY6P zAS9Jq=^#Wl->u+bE&GlNIx8QOK zsz7$#hu9wxVNes|@N7UPXOqb1hdZEAM}&JK{_h9&Y*xYWWlwK0Gi}1RGMPgM13w&l z{I0tDhj}~VcDBC%=VrY3!r`%6x7|M5QVefrbMQ`vouKZb(=>obxFlARy&zSojHbiMJZd9vMi4^?vu;Y14n>A1G;GuAJ_lH!WBQ$I%32!A#}I}YNK2sI z$&dVyzcX5&>f*~IH?Ao+OnTG3=8D}^M^9yKh1VO0hPg36b|F54 z!EU<=01=!kon~PgYlQpV!_k|80s-#4Ft+Zg&qI z`%$f!ZEBjUHO^Dx3sl!m1_g5loJ7;@vtP!}DFEGy{qyXe^t`W|_(n;CY1BouD+fk3szoKY# z=xp062mLi?ChI*i-!<@-uBCV_b4*4yC{kc@UNArv0X^UDf8`uRI zbA;)rD%YUqr%j3buG7HROk8EY!@RRe)gtv?#%rW3%q;^VtYg!AfAI8+J0@$r^uL+d z0)!9(Z+@bXS-_^$pY-D@phXi$8GFVeZ5UW#9=OFz6dU7fB)pv~|E+7Cxb1-S{EZ3B zMZ%UHg42s_h`xq+QiZ+iL+ z$!841LYLm(7Z}L>IE<3aZQKOZ!uL5?j_Uhmntm(x^Tbrb);Hr}Rx_5BNiBG|1*~~( zolIWPeyP=e{P!P;E=t;H{`h;GQFD61aXk?MN}EmZN<||ydaU01lkL&fKI9W$11DjB z3z1-`xiP&W=GI50+u8MFX#7MB;`Y2LHC%N}aK65woC{D)`Qg@z2Za)Yc+Jdm#;D)( z=1kUb$s7>ny)&x3^4115IceG0vL*L3_Z&NoBi7)`E-|}NoHk+P1a@+LXv?^=5rJ?V(F`M@mY0Nt>fmfS;fSM8|Qv|2F zsGo6UK3gm)DhPc2o$(3AanS>XK$0cFqn+*A>+RdOLjF(X;fkxB0CD;OdM@wP_b9y5 zNr~VRwPZ&TI+Vyyto~A!o;>o@(ZcQ4srmk9XbT zcXnyPPi}Sw-VkBSyv^A+Hmv?#TW(FvB@A{uF({OSQz$AZ16H6rp;K+HuKrj~=a$kf zpMG->N(vFRc6sAR0FX-FmMC{X3yNW|D2KE9?d-V_-t_g2s(|C@6LnNr~?>0Xh+WeLr6>|&e@nmh4}#TF7RIA9ITC-S~np5&RiS?%1KgQUK7TE3Rg zcEzaZ*OnbS$~}Otqb95tCN`n6q-gBhH^Mjn`sbROIzmuv(ZZsnGA3^aJGlZB_@k1c z&F_7KY0#Q}yr+9j?lGA%Kt$QmIrPK9&6haM?{hh9xRIY7ZutD#MfF#+4;gM;l8`rd znbUMPi3#5efVPFSKGq`I5s@(x-FyTJOv(f~?^au$RmDOQCTB!y7dO`G$rg{Z@#-IU zi@&mPS9<T}RM=|Pxf*|YaU?}aF=^-Dl z^~^@Ut=DRalu|RhWW|xhQPQwdc?kvy^1oY)#KlXODk=3V`7h@=ORTM|kkFQBa2+4BPSK`r7X~EHm z!2eApJGJDYukLw$19mu2HK8tHY2&9aSn}xVnJ-|~NzZ!!ZfK~~Z)@(wgD*}w^ROzA zK!K-6H3QSW-Es0vR+7_NUfN$HueCnPv-kaH8#G)p5Zc~hKs|C>n`Ni^>;mc5M6${n zHlj-;qoop)hMIGOWJP=S%IAbtZz70A@We2J42U6Qo#_xq+pQ`i<6*mi=dZ3QP1)-3 z`zll=u&;=1;a+N|?sgQ*iw$OA8uxkcH05U(oX#D-=&6{gsqHR3CnY6FzWDy3W9z<; zNoqJ3<>ei<(`kgT-9X#vZ2dEyJ&`wVid}E4HcZ}#p!XFH)*T(nV^_V2f=6|^)Q1*LbccN7W8B7hV~Vdbh+CbJ`c78o{_zL=5(=p>E63B8jr9C4wD ze1QPPlG6ngywaZ)lJ*yB%M6nI`#fb|R<9l-I}APi_)&&evzDN!K)y*Ln3tN~J7b9K zUNN~q>=w4kwV0{F=}RkiOkH?!-Jec-*LNYzQWV8tHUSQk#pEUKA%q4-sfrtfSHPua7 zGjHu=L~LSug8<|RY;meC5R40rcLBGkjz>d3*L(|`Wam3mG!};}ti2z)IA;>RYOP4C z#aEJ5K_0|5h511{v~ty83RzNGg~JOiH7(hq#f$HOk_hVuhM9N3D9+P&@%F0j55KVE z4=r2kSB1QlKBvESNJ-r3Ji|_NgwD5_{ZlI!axG4yAQXy)xSZ!mo4Dwa>l)goAKtKg z*@D9wAusZJUhO@cVz~p4cinA!_&-Uv8mql$&AmHg_f$luc+dJbf8RCkD&$yKpHyHX zQDh*MFemP7@Jfo_lF=(o+S0}@ZBNdy@SiXFJIXqywPlw_LWnEcYlxQcUyBa^f`=kf zPQ{6ijw*+x^8%xjpe~Nu)ai%=QN=AS&g!k(Itg=2{{@TVd>CypZj?0QNw{C&#V7oni@te2D^dlIQ zd@5}0`wP)ci8_q;P>;>=!*$OGzM;OdrBhgN=l+=a%zYFR^Je$a#wS~iAN#dUfhJc^ z$(8E~7K89*$XGS0fbhltK2&=cI%Ucl7OoNg+O)JjwR5`(*CW4-^rymcTb?l{kD-_u7!%o!eaL^d7@)|$BIx%B?wfnUV13Fn3HrM{y9XKjaX21ZkOM~y1 zaNZ^%2xKCn!Agg&K8tR8IXRXo-|$ngd2}c~mKF+CgZI{ZuXEM?FCr=6e(tp$v{bxY z(rjwtAG>I6{QhRztkIo^ek)H@xmz^jiCe$J1uugWHC*=Io@32mIlJgzD)rO2q}oEe zUDDX`E9p#+z+obLfP(IB;~w>)&uQxYPzSvtccC7}MZ&ww32Z)g= z*Chdhxz`EVPq_`_C6i5W%^n!>@#Eg&5;Iq4SrgX*@*`JX2wb_B4;MFa?G7KAsoOR3 zhU6C{rr+8cI#9<=VGrvhL($u*>>LF~JXbNu*nVn-l!_CXoxptU+MYDbR~>H9rCYUr z7cb97~j`?2kgr1(P>MMV^$|+KO`)AXE!!C;ox;2onl+vWLyeM78f{AF}{9XDk|*h zB|~Ks+q(mt=GlclnrIU;ZcN7`y)L^<@v1gp3naN@={muCraSaoYpUrEUuUL_id0@tLy$SE%ezI{da* z@Vc$9{c8N9jKHfYFJ?^bpree#5?af^A4L6w>l|Ug=n2(9%`2N!biKiOq*jbj?=^3Yex|`-`{uCYAENY( zrKOAQi>EgiWj!@^b&X%S$b95c$3JE*5!q6e%M&3iggKJ*bD&w&_CG)&ly5Xv?ZWz3 zGk8UEM&aqCjSH7|?Xd0Haqp<;9mX1?>uPP)!{c+U63n|!Kh-+)U^H=J{@3`OYxD>^uCm^YZ50i7hLr2GSh}m`e@ynMA zJ}c8}u8o{{cjukI(Pj6-M?UPLR$}`E1F4cytaWjc^DYQ6r1BhM_ zQ^iT@z^6Pj^mU`>H1%-Xw9UV6R?YQjuUo&%YSgnG)nf}rX)rX%d%t?Ojzg4`3@#5+ ztCa3Lzp3ZAVjI;5TwwE-)c5%JF#g{`qPi*SbLc=nGaLlQSVF|DxqMTcQ}8^0xMoEb zg#3NkE|SfkUcY-dBgxjxez;X{!%Q4h*j&!^88JqKfpDs{2I~9w2bSM*a5L`H$#8E| z+F<)sJHuo#77qHGb1f>hqC_AN=U5BXogm699z3~LDGa?Z_JkK1qJyWP#)5Uv;(0_U%B%A)C`uD?&b!;!^^E0@gq}8 zH^ngX=-k71@86dkGv?gg#?H9gs3Fui26%|?=-7qyjnKu|)KsChP=n88nG2Q!{I$=+ zt@>upS6A*G-w>X+{LjSovwlpF*xVM|tYS38tYyM>^`1SEy%9$HFX;xRS5l2W{U&|sAL~%iqO|rIX8#v z?X7rDX8w~KbH>bEa3kQR>AkOSWeg=Uth@&-jf*>S%(h+OTBz2hrldZn(0&+oJ|8n_ zeS2;dZdki9H+{Qnk9T+bWbwoDaF+|Ovjzt{YGkATP@Qo}%{;0zcobq3c^XnWeF=M| zEnEyDB1`zDW9wd<7#oZFQG^x5=xy!lU0xXevtrwl4~f$c%5_%Nk$c~xo8+sSs41Jb zbvAbOj_io0OjJWj7v7M{#|g&nObbfeylqNVU7xbBBkjk;$fnx)cmvT8cC{ofrHW|< z+#(VpR5-TITxZIZi|a5K5~O0M{*fj~Bws*mwH*5RPhKDp;N-o|xg<55(Kk-so@?`M z^5)j|ZYyO89W+!9g_+q+d;jT69e%F%*4Bl77DIf>ca}ZUjtQ#V9c$+^P$v1J4M0Qb z1HW#0cqciCsQWBhqo8kq9uw()0XGDkP1X!<$ae?@kj}U+Pa2|n<)~|>5?5GHyQsjN z{e$RPv-p^Z1-ICz9w1Zl=2VQGJ-bYrE9E<{Ynv{L!5&!_^?F> z==tud+BhaJ z9EHG#K7y4Q^!|?h@~4>wTR(UXju+EKx})8>w3_3TF4g&4Q)9wLsPkkpBF?PhK)DMRyZRlH%BM0+}TdbU~fpB;z8ZlaKHO-AbZu7v+rZp*cgsJ8SBzg$JG; zwCAacin0vY#v);!WwK{nXsL zzg1i{`L6HD%@WzJ8qPP5k_6K}HV{h9yyW?E(}Gm47_3Gqp!VijSMrO{E7qHj}CUJ7uU^R^CzYi zRay9bg;pJ?%Gg!&K#bnB<*45pvf1V=h|sT zhBjjI2_me7%Q>U<^rAnHTUPhySAWTX2}jkElV+!xaW@dbE$(kB$Z2mqk7EpsX~t-rlBxQ$l3-4pY`Bu(W;kQh{tX z#F1iPECMnFWx`hoTxbbE-A-U5(5XWD;9UO2^246N+ui}yczt~l$_2Q?bDaJA=XK$+ zr*Z79q8Ur ztpAs|^}cqmrKQ=+ZLu57E_Cgvd%aVyv!w726%;t;2XVRqLaCfeRFV&Ny1t~#uP^R# zm30#lc32(L+u4+;a^GSYh@U7SxBvtPg;_x4w{byW^{IpN=eFu7$J|^zarPnU`8vDRzV=9)ds&S6dV0pGH*VZDZ|aOy z!WXVy@qkITP_>7jEuKuLJUTyOsM6i^c}{|G!~2hu^YG}|od&zOEPp%S+cy5u_2y3< z<42k$FLVRWKu%Ozw{vZK@Fo!%!IONp`9Bo@@#~D6n|`)8Oitv;5He|3SCR#UV+~Ql zI?ABY%(W%}CI}skFmkg-bW|PWW*0;h0F=xpd7Fu_X=wAe7pY{pG)Tw&{{l)#R}G%X}_@NBFRzV!5&GsPrE zQUPrfOnZpzh;{221SUKJ7*S#$%l(ZqH#fgsTpY&9JPymDK-vcTtuh%q!r$hlLe1sJ z8T+QYo>AZZy?LOQ_pjUn^Ev&WP#__POS%}zJmB4?*)6}n_=cF4pqp)mkDqQHXvUYe`^Nw9+t>77-ngqy zP}Y}=;S_%8Er@^$C{Q`(U5K)F`wIAAJfGdiTCZcPr!%v9@Dzg@O`>Q3Hyu z9Zv=b1pl!!eALsmsbxPZm+UjyopSSyzg~?_3UOt;7$8jyu5}YsBm?G=GIpmpFX*J@ zk%g;I+*lH&BqdbFrS8v^@(YCJA7YG0Nbn5Oi2axVurmPgiv&6F|I3xGM>bD?wrsYQ zrc1Y&U9%eR_0nGl%_s0%9t`Ilu)cC>(Xi1II_-_@7-Z|9-eacBLFr(XKLdlB`rWr3 zcwb6btOZj|C$*}ZGu(t=O{o$QtPJfFoQ%Ul=-5#XP?@6~m+IM*5XwD6%?^YeJ}Q(@ zRPm?4k?6=rzj~}i2(ysCwKT04ZMkW<D|){>As%-nQvsP=QP{L%y!6SYr1|6RPwBw?KT6Zcm;^rJSTu>$|RpF})o zadAnPUfrg-F5DHrugB4dSp$Pl4ja0+=QJ6G-Hz&pBO*#TFNMh-ydhnFj=g&L&26oU z_%~k{Mw=wt*u2dP(z~_!KX#v_2_7|7CvFz14-+Eg;ZOJ?g55wcsTXw*L#_zSeSO`# z+g`h%d8*TFuj_X0W;s^NzT>MLvmtxCn}mk#vQvKm?oGNe*vfxd0*~H9#0j-%(c+vR z^~5QJK8f49g|BQ*&Md}gv>2rI1#_Q%UsfnyM(71isw+WP4u13=(LApAyL=AP7Z#El zLgFL(*zOdlITT2dltzB7e_NmChJAz9igpeLFDj)kl2MTF=&EU?;4WETr~Xmasnds} zjZ!j0Vh^$#kW}4Vrktw|u&C73#>l8W9jma1 zGs16v>FKml38woK**<(U_)xk4Q5ciT5NWkLaaYF5fuk42Iqy02!T!s-RdSOjUzgeu z21rmM9^t@&7gt*#D}w{Oc4E?(4;R(_@ zu>O{!0W)XJ_{e7vQZ&RVC0AC@MH@kR#g>gObqDkIFe0tH*R$j62oB#6Z-cL zHj1A1`mkeni(vpSm8VHBSpKtR;{QD42=GXx5ixg?owDp}?N*O;P#Hgd7vev>5QZ3H z>l-rt)jQqC`a5k;uc5M*(jIF5N<~E`$};0VR>g?vqS37na&meTYrxLl1djyL{t4U} zYv#<=2e+*j1OSp4R5O*DEg`ucBoC+RLZHOz{u^8u1O5yB7a={(SB z_nti$yu))wuGCT+6J@^396<0w*Q|mQ(*n9i9r8z7mCd8!o`^*WcC(w`x!^WQGR>Wr@l!7L*1?u?KDF5FeQh6eQC^)5m{OLh-03!|; z%}JK^U;CEvqmQ6NM4LK(^KrmrGGs=gOtm}b)@B-?u=DKxp5sngpGH`qm@`O5<_;Bz z4<1nnh2h#$Pc+sJm6ld>TjX!@FpS7J5qP__Fgh)K|1X#^$4i^Ku+`K&9m|bfyX>$v z%y&pTs^wE>c5F|t=@u478hyZ|7YMeT+nFq#uCx%YyhkzvZ7Me5oU{CJXlxCdPSI`A z?Th&hr0JihFPmp_m#BUrTZX1Yn~|Z|<76+c_GNWXlXn>#$1Q(5?N_|{nXp}(y-x7g zMJS_hh(1GGsNUK4Vn|}?f+O7b9(dqUbXeTltmrkk?ST*xA^$Wg-JD|eDl7G7@YPp1z>4F6te?VcaaloQDkEuWm3(l0V;-;IXx#uKfJFHP^g?eDMW zzSH$6af*7kcikGI`s0&>i(pR-6<(Kgm(aV z#u5KEDS)FZ>PxKk#dsC=$Q__aM@9|cL>E^eN8LwvE0?ac+m)Ds@4b055Wg>1Hx*OH z=24_g@LVaI5A#r}rfeDKKFB7ui{q=*eN#gFU8q`-7uE0Lwr^3s(=Ri)!r|P4M_e3Y zxI19H1iJqqP>9(iATVRzc5feBs!c8^~|c(em>9zK@88ED^^qZ z&9xx#9sT_scd5Ng&ReK8GNAh9YHlLz$31UjW`gVe!Gt{Tm%BxaiK2|2Dw02oC1Qd= zv_36^QuceUPMucmet*QzGxIX%B^Uxya#F8)btMFHng@Gy?4tH;2H`bA2KR9b4^RNH zlDm;?(_R=;=6kNrT6C`yel|xEOESApwkch6Oxsgc+x@9=U1cZ7m;NCg!j?t9cv*(= zxdTVqg9i^f^5nr7{-U4ao^f|ud(okL)mD$-VdDjDu$$Hf;z@xs%;-$QB4Gi zD1Ixq&hZ|>-cipNqCrI*unFY-l3pw>Jk`0>a`-u%7$yn*q?F*eujMuf}Q8!&rDOtF0l zi3^A;01ZG^?xa`k8=Hj_6|La?t8bX*8C|}#A!!zaNTyd@=FJI`lq$4k=(AC>jJ6w( zK%F52>-}?nWe9B}ys)_9#Y!g!{`t^Bg9i`R)zuZER8pC({J#$eN*cGN&xZy%`%xw_ zf2Fz2LD#Q9*$if+E;e%3>Bs51a%X&n~h54BU3Pl}`30Bg%Q?H82FlbJRds zA<3|4TxB|qqgDv+h|cIAb35*KngUsQ1 z|H3Y5d(&f`aNWrAX{!7BN1QA8(+d|i+~-b2nW#;2fyTRZ@4kczw&R3oq=%6@iznZG zB_Z{D&z6X>+FDDB@9%XE2oN(}XscG4{Snawu(m)QHYc7qPzU#>4z9w#Oq36=ji@iR z=U?sM+yVV~g)`#pm9aPNJb77LHzPp0GXJ1qhl|4$<#y2#r%nx_&W2>ZX`|^*?^cWZ zNujytpm}$4&BJfTb&0gfX2l9;rx1huo=C@yRPPSA7!B6wA20NlAz6Swd`A}rFuxN{ z`%~F(3ctf+T%w^;E%#8nhrGF`y#=;Rw4JJQfM4_y|qy#IHgS6O@p!IPMS2 zQ!{+vK$)poA=SS;JNY)A$aY+6CCscW$19}}{E)s_ziYNjCr^c57f5Ey8$DBdNU zv`DLTU)}O;4im9Zms9(c{?o>WS6!6WKmK3@P9Sdw=S2wZW7*skHG7B(m7Bgb5!BIj z=^B5v7YFtaEOWm+vM2c^lom8gpO)Lvj)#NqfJNF=|J=G?SR`39Lf{b-<8t<`7Vnr1 zDQYDDk?;M?A;M>=43D=8jB|f}cj`hz?L9c?Q;w9YpLyR!Or*i6ALLjlG19$1NKoR> zDEdnl-92)GJjSa7!&}05=+FztXP_YCRXi*`6fsyhhW$fj z;;;VmBJle5@c#eB1$ZmZT@-R(1JD0%=|75wLr&8pInVd3$nJrZGrD5g3T7N|>SvYp zd+eIIMi8XWo*kj3BUU@AYDX2u0z|l=2PPinbg#;4v^-9IBlQ+iUIQAA&|0Ag)-?N( zVqm3K+8;)yRIqV)@57((dq;gUn=xC6SR7Rrx4ce5{7nujBOXQ-ZpxunhKCFOdIK4- zR&iF3T#Zq0@7f~jlQcXTA0M)3T7L|&I}b+AJW&>>cu1t=i+}5@( zTuh4c)3S3oBej3(PpsiMV2tVWANBP^X=gzd;|ol_*pH5IA9W+KhtpPhw+BDZ1boWU zoH=7_CrQb7pFcn3Ivw9N&o9mSxac5-MvBr}4DH6YjOEO8)yTFROXtqo7P0yI=D?tJ znLM+9W484LV?ih=3a^m$8&MkOE@^&h@vr^Ce0$lQ#Ofv>EEWwBYLky;ef~{!H`_*# zfJs>lE_{t6%P;r5as7HRV69k*%Wj9Brfi~ zSynwao(H~S0=k`JzrM%#Dru-ztfLW;Pff3$zUmXM1i7v{k&!-aqa_W+sJGNJ&(1Xd z)lOUgK(0euq3H>Nskqc|kQc=ocG&i>c^Tq-e?|+DR83#fVI6^bxZ>-JijKlBafO@w zmdKynGbk`co5rf25{uZkW_`L=2B zp#2)-4pmpjM|wh3OYIQqg__yKgbkU9HS7SIL!kh7aMQxD-)vuSl?^lwF*HGmg89YV zV`I5cp}#`hVYjd&QFpC-53i%hO}XUTrfNAx`^ybo@LCdqDk*@g_ya+hWJJ4G?mm~5 z^`~)xoB#;r9n`Pap`4K5p)H5$Q&bHA;X=ou_!r;QFz_%F#UnO?bq}!KQyd0B zKvjMAS^xRCA%qMH{d9(SGqh_FuO%X z!zOF(_&@6Y!>#B4{r|_!Y(lb0NTpB-g)|h(s8nV$DkB*sl*nEwqd}n|O_CKd$|$2D zBeD|`Wkj-4eJ|(p_5Oa3-@owt9LM{3eO_MF<8i;=Zs)k3*X#8Jf=xbp^Sh~HBNFtO zI~lQ_7QTkp-B_%dxx$5^{<3QwVBw|^m%Dmgo!mU+3L9Pc)Kv05bhQpZ`{s zdWJmHQ2gdC-{2g;2YmPB1eE{jJ*zoEk)&+pg$pJS$y@)+$XyLs!q7GodYouTna{lu z2#9bvQBEXU3T}{#Wzw$;sut+pCSA{o=xM6nFr0EW7Z?E$mdSH_FMWW#-&{ z``V$^xH-n1q03!T=*OpL;vJgx&gLAT}fUnVD%uv?rFebWmJ zg=~<`QJQvowGL7g%@v2Qa+danM%35#IdbyY9r)_aLq4N=oc8N{Tm>Zcg={sV&ChpG zhRVybxiKUzeYLmiE!~i4y_6kKPc`fO#)&s7g9%g^g9Up;Gs86(qkqt}_p1Y@YQ1NX z)_gQ4AIA2b?b60EV_V=R#r;}YybPRsX{Xv_JOMDl%Rc;gr=pNv*{mk$$EGGfV<4$RMc*Ai zHN=;20DB>j2%d0wI1CF{_(_;H4C#{c6$Kz5oAJA~O?Kr)EgBizH)k1NtwDcP)_KdO zHK2z?NO{ZvDPo!JUG(*yW%N!){y0KMZ#J-7TCZw){iGrX6F1N9Xx52lRKx7?a^Zvh zAAhT=TRL`#d{r?@?y~zFb3WiFt};h?N|espGO-gUsU8O5x(9x3T=JRbbP%DlFu`^* z^Ea?DZf=)-Z?BzDupHhG`LVRpJalFt+xTV+*8T`b*}}Mm{V!rX!l;x;E}S7Qv-Z8} zU3jF@oNV`65w)a0O0OR+pWumyFtu@6C6_|BxNx?($z~9HaGjsW&svmv5ZZt&xJpY) zbGVozY!g~u+SHh-)u{(k+U>1yQgjBWEa8L7<_y?S705CZ=Dmi{AbdA9HH&hU$5c+b z9tG;}s_fdhe5H)K}9TbamcN9g%Hva;U0DWyo!*BMNv-Ysa~Xan)$ z35Um;?dl>fd+SqEN|&AmaRWQvP2gr=m%ObuR! z>C97r2O`^y`RfZugl^|)aIkUSSX%?%hb#)%)nC(VH~a@?EP4eYbWES zcb zL~V?U1Dt}@E-XsRM?lUB!UxZ~rmy&@JK{u)8NfyPyAJx_#FD#h&{y7CLB8(6QhfFc|Sg_T+9OK{`ZrOnGb>I=Ek7{Vln>b}e?# z&CMHUHSXGzCkI4w#8TlA9ZNVmvaE#``8JtV+>DE=zV1GKTJQI$H^`9)IoqhX-@JZ( zl~IKL0AFUJE@U#oNCna$)xBd6=*@2}CNdzZ;#qTi+6{ahaDCGv1D2o%nRG(38!+4x zWHtnRENGO%!mrisqY)CAA@anD)zC4%Z#r&&YU;)-n;O2nxI%UbF}64fOy%2sXyou! z6RT#QOrH3$VCv6L&qN+XUmFAJOPw-gQp~vj`I}Rl#_7J#n!B&g-r@SaC!G?fiY*`k z{s^Dh+vozQ+|xAA_-8paq?yXM7rr&>e{}n+EAQi*wNHShPo%X_-7CHl)6Xv0TUy78>hMP?F;zJBgl}VQKD)#iUj&1#WlxxweD-1{d z#UmB4gWV-RMhs1v=5mBPVa_z-rdnKPmg~TWF)_!so!X(ZTt`Rh5F*q&0}E&cmo5z# z-JCE~fB~p~ceO7aprSkY{lP`8$43qcpb|}NU(9#eAHPkDGKY546Uz=U{vs^N)CMlY zBC}is_54-#!isk)jk5O=Q+AzAy|hvrlA-Kh05bXR-%?v6u9Lg^SsQlV+~MC(JH0|f zwY#Iz&xzJ2+68O1YS-+jnu%SfH&;8V_clG1dS;#=mOD24-R4mj7zT4q;`v%sff5EO zcmt6rZNXN6$txM6_O%O4gW-pqm3tWyMMbrZ}=jnTlTB@#0{~kTTR@yL#k|Ha%?9HtPG; zcHdTlx-;o+8)A+jRx|JNe`34TYJ4--k?!Chyxbk?@n@8CPSnl}R?qms;BX0*DN-9syT z!wDnjII|VQj@+xa+1P2$X<&u$$)Camz#z!qAs= z%Wf(&VVgl}f;HAiK|!W3A~J`wUT^N(cIw>^MIUcT|<)+_x+Vmt8X{~YXV07SkxYZS$pvfU;vf92%Uwe=oqzE~L5HIo?_+d7;c5T@v z7Nz;bc9^))Ok!BiGsErchxlA5U!6v*P+whF?Lduu7)KQ@26 zQuFkha|0adCey1_nyX;rH(xleM9nUCOC$Hg6^k(q|=UvvbGCtR+`87@~Nbu8_ z*TLjpC3LJ}X1mSVsZqXt2Mui4PUC27!sB9JG(8gT=I3tC;aAzTOO5IYIH22dT# zzu=SMFi=caR2HzvVTc!^da_{&0KEX^^ox^uxS9^fx3fQWz<}29D&P|55!n%>C<%Z? z$8G-iWk(=qi|Ab!5eFNtEX%yHZMS0Cxy{e=O!{@4v?*%yjjnBDV^u<9_55CqNG@yT zvX?D9w*n6<`kNoZ(C6S7T95+_&poK5y16}>Hg&3E*N#o%`nH{3Wuv_^4N~T(n$+hZII?Qm>u>JG&Oq!)!Y5Q_SfStxIW2aHKOiytD1)N?1ybg6e z(dpN(U!`ypqxK!{ercv--A4z-)jvOV7H2+QP0u?wcZ^nr)*|CKakUT4@*%4W^$Y;| z(W|e}3P3G715#v@Zuyr_$9PVK)J2z~3rG6DZP5+B*SW3y`YP|XO^o8SV6*#|n*`s9 z`NYXy_NdjnuwjopT%SJZJ3Ykr&UJ_oYpZ|hIakaUv&ePW{%swY%HEZiMYJ*~B1O;@`(4IZ1m`s67WQhqavqQ!SJI#;xPWAQ( z+XeM=ehab0Dd8xRpjoc<%O(<@r+t1gtosBfKUl<|Th4UlW$z3at1+0CU0b3bN5R)K zYq&qYv5%6nU>{rsTS-rP^EgW>sB7aPWo!~y@c6R9q_s6RD|&?gn%kt}uff#e^%}ew zA>)+L0n_%SOke1D$txa;@28^kLvLlY*l5f}po8tJr`H~qAG`KoALwkn5~R7wA-uY+ z`w+faWOa)f$G+!=>udrBfkX&6cJ<-6Ky`5h8&~uq?izieM#+mPz!;O73qwfmnsSz&SWa%_A&v+u56 z-ut)+r`V|_ z0Xln~p+j$BzWQVjbOAq`*U3K!8rebd`PM(X95cL`+hR*M-!GfSE7+Ht9$ab?dhJcD z)gOEjljlv!oZI%|#k8(2u+KnU63a~?3hAx*z3k+2>z8_?6ef0d3wGRE`99Nu9`mTt z--69Uo}~a~mF13i|7|^V@_(y)EKxr&RImRUhXtzk#+bGtw~6degc9|^z02ENH?@BK zvTM`T&6BIwPoB3Y=RdEj^1{NuA4cV<-0kmhh67zDrihc{C-gSQ1Ho%^+3JZiTJEx5 z*?r>H=MLxooeIf2IAoDa%LOqtntR74Og(kvaWnI2YhCgTXjsJm5dKDe`!^3r@STS& z?gXQ>FeyJj06f_WNeBPL zrKCh^tF5FR{Qdi~@duqQ*=~`8wvKL~?PKh!P(E~tbN&g(r-;VDNbF^fJFY&Zm7Bb|Q5h4jvy?b~{z2$FT>YO{<lv0CUP%w>gE4eS(N614=y13*~2_hsc|RV+4ika}ORwNJQjUD-Ij z4Xz<)%c}C-QV;ezcNSZNkm*+1E+d`K9`;0NRD9>{E%oU?vm;IRZ;7bC(_!uEKM#6B zTTC8+)G?rL;DQV=MNgVbA~+4IPL!c0SFg*EAw!;Cub(~`n9agawUK+vi>v%nTCMf_ zS9;*eO!Li#+E1>`-~Bjt|LN-^&K_QhZPce%XPQJ$^#9j+#kB32_l`8tJrz8`udDU5 zJsLr*h@N@$Sqi=$w8iX0l%0^ke*i9fk^D1e7Ss~f_COSc8Ws&3>y|+l*_?U1(IWl( zFQ%$(deU_4_B-jrx^#&-{wUbL$Nsa^GZ`U`on+N}h?+(JO&ZM3T67#~{dkeX$tH`H zQ^QqsbnjoBUPoGJYZYsrRMSOK(U?{ZXt?a^2Sz)BBM=?L-wUt&!j1>Od0}(&YTK6R z#ZT&=_1>L0u40HvwQu_!HbcscS3kM5*u&AgZS8rVZRakAjS1{w?)M5U*_gU4{BRHOCgT|aRfj{Xpj`X9Yu!<9XI!6GPtE`niE+3op;X@ zCToWLOI_8|9ovK{1?Phn+z^Vj?o?A>$)V3|%vVZ^nzeU`Vhfiw3RBxB) zCQQG*#aPv(c9{_O}p@FAf=#|ix@;_u#XOZyk}~#_M!a)T3F4%laKr07?CID?%1NK zDO}9FmDOSDhSz4&$WVThEJ~=Dg}%k?K2&Skb&h&x7*QR|qjTPT896Z6+eK@Bucou- zDtt^+*W5l@J=;F>dEu0KQ$+f#x;HB2SPtiN@S=>Q(vvQ2mAnSbsGm7EAj2PW4uG1@ zy+WG4ZD`<>{ywJdWX8?LU^7wR<5H0Y8u+KS`s=rSs0{yLp@Svf!2ah)R*y9$qv_S}?``|~Xz})O(e-{g&i>lS<+w-Ps{l*I zFKhQBqxCxZDwH;c_Kul2PFR*y}KE}eF7sP$omcRvqzO&AhFfti@zM ztZldZcaj!;Hjo4X=TgJ*;@OKw$H1r+`MP{y{n#3N@7clGrqCfd>CxpI$4120>^+( zI;JC+qV{R4)co`N=bQRlk6PM&daPCuN5iYGE}}p5Kbi?ytPE!htpe*IPoZp;Erv#c zb<1{zOFJdKIKwMGK87g3?g0*k>&5{rueWQl^r)HkY7f1yUq_hP_q0|ED)~DSIPM#( zorSVXt0L7i03}RNJSz^q?GimPef8U#I@ikeWg z+bN|sMfF1Q(o+Lm4$bRZK_TYV?J1S@BL%q_R4OB}pqNcaG`Lv$b=2zhlYDR9`t@+D zpHon$7L%3;l>}bgnVNBmjedT4nZv;dgMdmC?@;%dZzJpD#FK?b;cIu~2;ir|mu1+p ziIE$mN=(dVeNINy=vrHpGd~c)$=p+&T$YSUnzsG?={6tg)jJkCZnTNr=zGVz7PyC< z-~VPy$9?yvuyn@i^V;mcJ%qx_#2d;K0dzw0(j+@gf%U;I=F?C-UDV$-Z^jnW4d;uj z?9)0-n3Zg4ukT|!+UOTLx~&)M+LUI~&l+INRpeVqU|MXQe@rX~VMqvcOs7qck~ie$ z3s|r8{ojGZ@$NOF-CULvtMIhYc$}Wz_Q!+RY;f?*!othXGcRu|J+CvQc6GpHbtP5` z*28NbkUcTfrJ=ZgVTe;U_e$N*nT_H96c^X;(9Ql}VVnDN*Od&O*xt-0(6fZ#i?4Q5 zCPMVj$ph^79XcdC=Mi>DNB8H!z;h>0&Zc6Og@m9KYwzn^qhzfcN0K_evuN~|4Pje* zH}5?;AZ1*;BMDEFY=*p5qrfCip2YbPHWU<+-?x`tT3bB?xMe<(4o9$kX#D0Mdt@KK z(*5702#dWBI}QH!)$RJGdJxN&oD27%UpqeQN;sg*H?{)H|G5m0OX4o|YyHk>vnKcAhP*%2+UKP`)_e`~^c7=@#K}%N05jI4O`fyd}Pe^_oa?)Ldc*ECuWSBPXRgISXM9|~|$hLVV^t9Rs zYZGZyRrhx4WiZR-Ny+^21}fvW$L;hCTI|`^sv2x4St2P-`da4;FM$aG7R7&;;iv^9 zQ2j+2U!cTsQyws+mT^!?_)d+u1J{F=#+<BDoxvcPmbcYM%Jm5n=n)?D4D~2q-o2R!pnfL<~n?C zp2+{mMqrmjM z_s#6~NVXJjhe5-~EP*h_1WT!(1f4T{)6Xg--V8DwD8H(aa&u_8|Khf8!W70sI zJp<3JTnPzLQAsJ2ZzF!2h(oX9<|>b@OV<%zWp+Zx<=*@XZnHObeX)ZizbeSqgj`6+^>t5q>Z%NiF?lCIL!%a*X5O^3MKsC--cMfIBoM*c_H{BGsaNwrk_WRqIUG=oz@FqiG zQBZhi?iwV|3CEUDOUk}SVJb5ytovuu$Du>C`!C09w+z!~J zyLNG?+bAUmN)A(*xoaD;S%+bWvj1bNByqHN*~d1 zaQ{*@`{6>&xta^$LQjYh^1H=;9sRQkPB}aXLCn%@k*Adj$6A&+axyp_+TSABr^}A2QOS+E9Jc^zI?&E`K%ZD=Wd2* zP5V#W%0Kbyv{8*Op9Q|~hhg6K-e}^SgZa;zZ8RP`w&}Wc>)^aCqu$`BHyLTM zA>`+`9z9oV|8U*Nvd`#~UOCFx4-sKR!@0$$Y21IlA$gnW7xs<#aPL(6 zDPMhh)&1-j65+NE14$3(hIw5d&wo~s2!{u3d@M4W7B0q|>+b|nIBiXVG2OghBPR~A0!X$^Vjaf@Z42A=O#fBcD_ z9kC9dmfQha&KmztdAEl=Dprn!hz?18WUk1@l770n`zRl8PB>tEwm{M4eB1DlfgY;5 zN`ZCP4&0BCQ7Zpxn4uw7C$Xl$X7)Q_g z`e2}Sym{?_i95}FzE4U|bo4JTJW*RXx)jZ{_Kei`UxMb}Ub9Q#p|5M8QF^mg`B*>1 z`J`n1%U_MH-=m~LmE>KmOshA9w{Y^?K6C5ue@5ej=AoF3UOY{EXQz&P=wm|6twL2+ zbZg1>AKxCz+n=l*+P>eex+8rr7&XBstrh-H)p;}CjkG8kH8HQe-H6NC5_z7VTd$C= zOb;(gaFdq~_tZ-j_skqOZnV#$Ci;urSHCWa4SBpwhXlKD@@%&xV17-Vua`R7)lFWI z7*SEH{b2I&lV=CLy?3o)ojxlc$Bf_Brh6u$j-&Cbu2#?fJizXD-8!ezKP=SP+3Mn? z^-R~6efrS0Pp=fk!$mC;?}QI*Fm|G`?~*nTZl6E2YNkX6OY^*uVjFl^W+1xWe3 z{FGq?0uB*pJrReYXAh(ORqJiebzDt!C*5GK!{+e->=W&P!)x`$)(9 zj;(sx*^QQuJboU@9CPE$^XI<6CMpN z?WDA&!A9S`BhnR?+h{qS-V8Ct&wk64QC`IS52Kc;>{!@YebM>#NnW0hOUF-YT(oU$ z#LQdQk2e|vzy8crFB>s;#ne+)EY7@E-{o+qb^3!_bDD3g*LG>!k!d>=KUk3=nQWJK zOnFja&{j!l^sk7K-o>8-tSh@NThub{eb1qGw~O;y9Nm4Qmu2Am&*A!zMr-Tb4~g2X z^iELQU3q&77dHN>?-5u&e%F@LRc*bCqAl{m4;e03o#EgvZ#As9QvFF0Bie=!aZ{_e zvEcSpMf>BbuV0LhnrO8l$*b|gg;w4g#yG2<&Eji;j#*#s>OY=& z>15%OQ=XrvJFc-e{`5sz$+}Vfg?*1UaedDcESHrvmN#l2AIPt)7-9J9g=f+5U%6>t zz4N=8-mnPROs`*?k(1DC6^oFY!GTijW1Fb*_qWQQMH`n~pYCR1#>*yro-MjA{ z_x7x>*vCgas`;$ENOt>>6g@yNdyMeOg*dy%vaj9gGckcNy@dqg zb$0*Oy3p<0n~Ic(V%hueKjdE;Xo9UTx$>(P7z0){SDJ0ziCHq(2HU;gUc0fa5uWEN zO@q&!KC!%VVrV4CO}U2l>2@V`Ij4}L4$Q}_D+{$f$RF0m8&2mk#+aaZG*f`$M430(&JHe3+= z|NY3VOX~&L#>kqa({QqCSY;2ud{qzpxD|ksa;V`59L4$*z z=Pf)36My9V34iQYuBzZddbbpOQh*wBKAAQ{NbJ^jZ8#r%e`RnLjYcvj5EY{ zq+!ENb<;=a!*3L(D99cA3VIDD_J1LW;R+oFnOpz>%+pH z`e}!EiM8E9P0aicLLe^aW;7Av4>NuG^t#m5oaSnd&1NpZAZ9w(0HEs`RX;2&>_{D{ z#R;hx6{MrBJ%P$=)MifAe9hh}NWYrV3bZFY*XkMQzssc_*uogH8UL5}!(eCD+-UxP z*BPfa+G6@G@($q71UY*f&z)Nt=K)u+8AGKGKp?exo%P?1U$iLcB+GH4p*K#u+no}i z1CtCb5fIMzfVyaLV1)N+>*G^Tjdv+{^r!=rz=42frK5suHf^nIGkT*+)4KGs-=BFb zICdLBZ9F=5ud3V$KsgZoO_+E*)nd;RX+XkI5S+N?rr+qrXM#Bk;}0q6_( ziAQ(|bxU=r*;rKT!S~t>B@kXB3IRiyJ9Dx5WDyPwa506B7|BK{QGCySdC^O$zr!b< zORFxm8QkkXDr#z5DVQrD-SV79qoq8p|GB?Xb2_}=c&EtH637xqV5HYwJjC2R3J6Tf zFrX0|imJuW$FS_4-D+Q6UC9B0K<&NP)&ElqV|>1WsCl5Wz>>!k!;5nYeYr{x~`csImJQGUhU4D)?dCG<>Ki%emFpC~2G~6*``sMtD1r$FZ3I7h z3S!C)oezX7C52Ov&d8C6d72f(3x-XWRb`Jn*De88=6NBaUshMU7CB9wzJdON-*px- z1tow8abheabFagP9V7Cw&YO=zhmhK6ersB^OFDNI#&04r5(bTT3(q~4#WrB$@Q-Sz zgw${KR4kXFMv9V~CM2)&4^k+I@UlT8KE5<#ZZnv+@{u4WA;1k!aZd)G(c!5&oS3=e z%o)#UDHX(z5QrAoLRv6I|H=rJ|990R-&=Mm`-OiILUxGQq9w6lMpEg%WrC&U8)(7c_wCu6#ueqvwgF(znc^p}&=pdQXiW$>vl&3}H0mC8 zS0XyN54LnvgHFn4%3>fVBGbBmJLTRG+nOJJLe0WcgbvJU{h@Y769Wl2OU!%a;ox z{n=&QtsCA68hdsjw}(sAA#8kH?ReF__bz(52`0+aLSH$=RFz33A>uS{pQwlG?wsOU z-6#DtsPbcx5wEi9&V1;yvg|;pc+e0^pKP;D%zXLsFl2B~e)*)ECrCl?WOE;l2C`33-bN#Cnj)IZgCubJV+wAA+jroI18aY7F|f=b9S(q z;9$4D$`oFx40`kLHkyr|9A{R4s!LbzbfkX7L$Z(%h6RC#F)8-qARp$MAs}dt~F4; z7G`6q17B}w*o0kkL*ShVvP?W!&ckisWJc{VX>j#|y4TbqEHP=tCx(_j8JVow$q9BCjs7ZINtgK@2D8lbuKC@f`5SK@{ znAeba@^lP!hoVV^6q&}>5DNqz#X-ekHi&?%UyRz+3%Q1C^6@+rC- zXgPueB(6Qc`!O;yYW(bdT|Yt#id;Me-H2!#0IPYSt_1VN&(7|s-%w#0f^YE;$^Vxi zBypVY6Yyu`M@IwTmd#_w7I+Si!Cu|NaM&=}DvId!)R{9kKpe%8p5!6V98n>w(&Fdb z*t*5z%GVv}5=A(`y%Aa)m~L%mJ0fy_tm>w#Kh{7Q4ws7&Q>U(7Wiy9Fc+g(d?1QM% z#DNcj;1|7~xnPPF?rj)=-TrPyH3 z=9No9iE}_0w*)|-=m)?NbWy)ko{xo$^+rybUcSYQk9H^`=~qe6?scH=?|bC2!nJi`OjE^=BOQdoxat%WCvB|dUw z5kEYD&pXqpdJTi;Hv&w4X{x69Bm&cfwD z%!5ue|D2^5pRmf5pC*ErIm~{jejmh7>WPOx?U614C-TpJ3v=`ONeN%-Li&x;4G#}L zg2e%p@3>N?m?Ea4R1~xuv{Uq5lM3nZ>w>=8CQ{T0-3OAJKNRA1i_GU)#CoAfNAB_8V$!oPe`=E^cIARCBKPEJKy zDPdDO>p9${P57%-$mFP6IAbJ`cgR&1xVh=ErHJCX8F0l5_A#U8bj>|rLWw5i3gU9v zkUHPi6gBnWyaZ6+x;$TX)ARNYY7+*E$J1}t8Np#3G<4{E?xI-jLp%YkQFl1r36f7( z1UqEHOIGLZ-qqRRAUy?}tHa0Vi)}RjE7d!8M{e@lX%ov9+~;-COR7`cGe3PzK@k=a zW3A4j*X)A%!!8-9_Sg035WzGir(Q?s_$(>NCp)6n#q>kLM3G2r8uwZ6eGJdZcSz5Y zF*hY@Kz`*qoEdQ*^99UA=(djCiB2f?FTG@2hALYeb~sk0aJ3`5k0Pv4(1}72?XvHY z%TPaL2Nea72@S#b6)(vXYkyAT4Uj-%7&No9Y;;YUN>c#{XnH+)lW+n+49eVb`+D^a zq5Ff&-k#IXF9|?Q_xA+{;S^;BN*lc^uCrYJTjT^%7R&pK?Cyq2lpaP@0s!@5{!Ycf zFI^f2?L{c$)SasdxbttpT`{9)q+)mjeXLRKy4Eapgm#EuCo#?JT;ZM7tqqprxylcz zy>sRZ6MRCWP`%-kCpL5<&=j~604?Ze7d(v1>!-Uhd(|RPQo5G`&+8p|k^P%bP){7b zkcsP!9D|#~NT1R0cG-4f@bk}=J<%=QUtJF4R^an!WYB}*ANiXo$`0$YGhcr~&}Su$ zt3k(iUK9Ud0(s_5+GO**O-5w#BB)LJ zRb3v%J`8$kjqrf75BKqyV5iPyiNoq2pi%aZutBHCDhzg2e3gOG5n+J&$-`!{&e_taQO(DZ4Q(e zuXtVDL5*&EZt=9Usi`=v-OA73jhVI>W{N90PC@u4<5Dpj-2==R*(8c@iucaeIb~bQ zOH0R4YUquO_!h?gaMTUr_(vu!{Tp7y8jTloC>o_d07nv!Ccc-9TmYTQE{4esBjSrG z2mccpGWkmk#0&a^(u9^J7SoW^^#-eA#Cq&GOMQjjE{nI|IxwcZdF`5s<4`?)eS62D z4=IB=pfZ~y`^Maz<3M(Y2{3_lcW#HP=fUd!40fa!u}j<+Yd#Z?SM~{tH!sn{#>F-Fnf3jA zvyJOnkHkYLlP;VhT~^IelrT-52=I`|x>8;=)g>9a0&tXHhueB{+@|5Dp9risR7b}I z(%IFkS0^do_yd0m)(@5gn>Lw+mNwsLOjzSe=s-3a7(8|&RT5gMCb#lkz$oT}FHvB$;8TJSJCWz?(&ZlayL#?a-*+Z}q6!ZOihuNL6-~dnI>5Z`3G7;|p zz8_~YfV(bFyuvGEWe-gMsVBX836K+9h>NmMftp-m9!8}oRru|LFddKwLnSVr_dLRW zBS&^$Pv_dcYuD->R>td~4a%BYkcfJkeh)}KC!tu-C=T;@*OY(`xlN7cqCujacvDds zM$ueI;mqF@Z7W0eg8XTkA>U~?M7%z!!JzMAz`$_s?m2}|+&*GK93=(f^OUQFU`j>r z4o)c}9%o6Pq3;%IcqxtMMqKPe`vy_>)G{xxk#Vh=#(2hUaro@^?S6+lG2# z#f;(!7M7$|g(&db1q&CRg6-PijuOuVB!IxeDvQmSMTtPy+FFs)+nI@g!D9tw|14?o z2pg)({$Xt8r2-&9%CF;Vb4|4N93n{rL-%@~c^<+9rNi7MO9GRVKd&0~isiK8g-%N& zR!rOs@_=ACq52bAwQMO%emS&n2oPFmaZME2b|m^&VcjHuC~0D%C=M2(p`m3;)^z)C zIe_CMMuZW+OOk?Ta-5jfNelPyZ+Qy7G2N{5ZV*(a{T)@R4DtVjQ-<8IGl!PK{Sr+T zJjU>EamB}8A9N^_){M+1$n`U)Hw=%&!h-_P`Pi_JKzMiup?nneF)$bzTTC12ghG~< zkHb5k6C8_N`|RSU?N}v3_YU3YMpjned@sH7g2WsDw?Wdc_D{chP;Ic{K19n}YGtur zvKl_&yr*rUp$>8GLiyrW{=t_3PhxX0DM+urPL*!`K)qyx7{62YK(JVfF6u{lVH*k> zgoCF?Owm#nTWu(S*Xbgf;wy`O4z{wWSIEJ^1H*850Vrl$@i8mS&qW!SojW-|Nl0|E zU5U~4Nzh)H<>Yx*+DQUGH8*SOY3Ch=KKdyXTqnKC9r)V&T`unY{d+aVvh>}&MaEvf zg^4RDUl_C$yn{SYT ztCqgz!-}4UcvJecbOJ0LUhABtOGT@JXVMWsREfq!xpqBzL=5bVU9UiXIEwSyT%RtX zjs$vZ1k;#qyfXNYG5!9=rH|tW;Hm}2e;=D~zCe?N>~1w+3tSu3F*%JA)Pe~RI)GKm z17?mTfQwVQfx(t>LGdS-d=4L>F^348d%z%Q`|Yti4|b3(;q+%j;w(N@<>5gWhzz{- zec(+TWNURL5$GHmW&)%FAU7%E?;5TFQ*+GJg~pDe2NN@-hADod7|IhVsESRUKeUgSAL#)osQXm3~JtP4x=+Hh>XFDZ9 zVCkRJ{;qXV1X6sbahK$Z_+6+>$dCX%=u7~$8rz*vA~H>`cF%U!g;rYW)uyNc3JGH#(+;`va2?@mly7?HE(C0a&0iUvuux8bh7 z^2>{H)IXJ<{o|68^H_Q-X@`g(PdPIBir*v<*`ULRr)8{k4|S->#ke9jZ211D*RwhP z0;a&()YCgNsoi-9E8?zP6?p5HQO3gGhQD3iGQQyTf}8Po5k$JUG``ANOJgrL6@2~> z?H$-3kWr*%W!~gcX4Y@7<^9KxU6an}@rCkjB0!GMEc?$7&E|GV*ttZz#CB3OG4-7? zFpEz<)6o&PvVMSyIV&j^=e^0?@pSr5{aD5LEDML!w0nUZyRh`R*;2bE!jOb@8^I9F?+Wqp(j0 zp)*?dZ!A#LnGpj)i5V3!-!-EU7YZP?CS{W4;euaG?O$B>^6$TYAjq_aV_eHoZF=A< zb)#R96Tu#btxqq{?=DQ46|K}LeDIR-lxyhkCTDy=Qt1sGOl>Jy9v=$|v0Yl)8Vsly zpC*PpBzoJBII1)!57;jhO5W?Aw-s}ajPhms=kC_s?W*($7RLgY(BQ)`AYt9T6Xf^3 zcCC`(#fv}6p0;n&q=_c}rc4ESvlRC-dE@l$2n>uPi^IcgMhQWEdW(B4rh*TX{>+#I zp%q2xRsq^$Vm6Ien;h>ZuC1Y^eOVW_@Sz$ikloB5NlEe4H3+18I669l5fXm`7Okl% z(0K6h!AVW~@Gmbf%4Oc!ao~xSy`iBI#jss!o+LQ^<* z>{w+Rins{cP}h(9Dqt`(BDzBniM`QYpO*V6�?{U;q?v7-rQ*+}+4FqssP?P2}CXNWV94KL=o1NuCj6A&fekky|%y+_)NtH?D3L-4-(($u*3_*ajX&cofM6 zHIwq=dH)uPs#Y#254p_!F)DQlyBju`gvO@x4Y)S*s1Mkwa*ysuTzP;75#t|?jTIIy zbFyJ;Z-(qyb&YB%F~kpIXw^n$_ek)?I0w@eb2Y2j3uy+2hkM!Xp2Ld(I$Mptm(zTc zu8RM7fD;Ns`a`iL{aIM?c_6jDi&(|t((Mzkg4ZNB+!JOWXy8`U=%_`hi&lJoVBY;x zkO|RK#!-**0=gEa^kysL^yDu5p6hq-PIP=ThzLLfD2+Q~C!sU*TH;B1L|bwHlA?eB z*P_y9(LL(~-yqAwGY8zFyyK7_YhU~YGao^Iz~;5`FEI~gYLNx0A2Pr?2hC4@+$k3Z zk)mCy2}?{fpcOe9ceGuH&h`D)Ug7SzK0BL80pa|7KGrk+9gbh+Ey%xht+K@ALiQ_T zw}c>c5GA2jLnCATZw!kfQp+EMrUu$Z8(Ymd*siZOqWRH&+toC5;74E#e}vZw@pr`Y zL-Rx!%4-3jm1SWV$sptHfeC^r-=0@jJIGokGK&<9)*-{EpPXHv@j>>3?6%6vHvz-9 z<9CkvFXqZ>Gg^2+Fcg+81GA>}Hm=`$s+qZe2lErwiXGZ+7%{T@sj1`X++6P-FyWM( z2^r2l3}WGO)MVK6T&0&VI@6#BH45oo{7mV?lFs?gH%HN$6FRW;kyCxdP@Ozmv{+jZ&kcUt1*uN#O+QfeZj z-ZWK9jbG0zsss^r4fD`|m&A?y_WD{wmZ06iLgtXW_fX)gbv1^^3Xk_P(4c+Ya4vAb z`@WVc?fic$Rz(EA>qDVvn<#$p_b9^`C*Q{3OfCc?M%!r9#?*h`p0<_+MPXo-fn^g6!%5lFW1;>MV_2!NP~$pTF+5j_sjd`wXqT$-7@I=k3^DRsQ(>1#Qt( z!q-`F{|IMt1BVsNhj8&4C0CJq>v-DO2TAt*#bAIag_1ys64L_Dg9!>E8yc!i^<!+cP;@}K7_ zbwppQ{Tp2j1`VwGHR8~|Mk$dGu)yPqguLyPj#VVgc#A&mPR-Bn0mEY_OR8uE-ZG?4 zi?{_ZVc>7I7$-f|L3$1qvI_}#Zd&?m%sXf@nvr_h_B|^9?n$Q0&UgYU{_ApF(>Q42 z>?tkoKi@Ai88BIcN$oe_lLnM7!C%HiwKZ#u?U$4?BjEuJpVYkjdH^jqhm<41TN=MP zS#QBTl{z~o5>`Z3Gy{&)U*>aZN z=aib$xJ+Xs0b{|@*qDe#(aX2zW!dR7Q{bL8;&Tr5J2d|T=Tyw_WGTCWw~uscmwfbH z)zr4fY>c)UzTicD8`G8-n;v&MKZIwJki9AG!iCrPz|dB2$mngWr`!6Sd33`CjN2w3 zKHO`tacqJ9$3{QB6dPZTT3h{-veNLD&Y?Yfu97w}au6RhX`m2H&<+qNLM@^nR%BI9 z(DdqDJDhfyX^rf{kr3xnO=JOmy-JijJ-%pfdq!AM7Rl4MFFn*Ct=qSNhY}qQTd1Zm zk`${#a86nW+v-`VkX5D(yphXttJyz~hc)eay*SHpd(#GyW7vr_{qU)g!;$Uph9LwJ zGipP|em-{nDr^%T%ptW!>2+{QN9_cl0K7an)dGG?25tr(- z8|a&Trbe@WhHeh&y?=-+1jvd+C6IS1k+}Hqn-YAly*J&farfKNDJl8n5|B77@doDWuI&$e%{~-%n24+yyPDxSjV_{)5N#a2 zB0DCo_&Vm3d#CBmk80VXQRFR-dT~IV)IMR|zqdDcnRM>iB7bT0uBNU9xA%Hm zey+%1aws-k;`9VAL@B+ila6Xp%?8cu=OAW{o%O=(op+NQ+t|~24}VM&zu!xjs^=HE zP)jlS#5jJj`kuv3dLTpZsV^B(yeTUSPd1l@s4UylztuGBkVG;Ii<_^#yPnGLebMW4 z_^|?wX*ebzVjbMm$oDmr3$UC+v}_&K1B4rRV{2=Zra!ino^R`{!TwIoDW&WF{oYH} zvR1ij!Mu6G19?iFx?$hDb$KHDga1QIA_&~MKfPYQctJdseFu#%@<#O+7F^JI)A5(0 z_e(g+Su@RR=a1nKp}8yJBT7pMy6}F{hOiDGS*PaRj2b_#LH={~qCYxwpPZaI?F9XU zP{{CKj#OU{B|@z7iMq7FK}(;)vaNef`h!!N2$cby%Mrj{DQj}hQG6m9>zhALNACuH zPnJJ_zOGb+(@ohqOjGN7h^+#^I?#wKMRfuTyWhb;TelqsNRnBYPA>F49imJ{n&7&nYZAHr718_2;%% z)@{|*PqV&xl6_$^*uyiAg-`cE7a9m($MZ+amRC!A0hH#3cztIw!?3DB$Bz5Qhh%fK zp&iw}RCtdHgHGWFV-pb*VRAO@+{jg5x?z855ZCukD@Vgs7M;6qQ2eyNJgqmL<{I4% zSBQB$+}94-U#~xS(5^|7F%|3BD>d$f@+8PoxMXgp%CSNJpC35X{aLW8`A*-$$8%aa zH7Po3+eAj`%sr^8C!G6?Kacb=(Xqt|Q{r3iE9e6s`uzbbt)X!41P>*)d+utGqs`&7 zu$s};Br!MDFMtHW?VZ+R75nK1?DspL>IC#`#e|9uBln!6#htXvfAw9qFzMMiqI+e# zzLlQ}gB>H8JwxNrd#?WB1rAka0gE0f#`a0du_zIOra+9Ew`fRGW_esjQ-vr11RSBITM7JF6An>)u=_wy=qDx1c~N z(JtKmZhA|Y2Af8!-Wk$!Dnh~Z@@FZ6fT6wZJ9N6F*cra+b*HMup4Vvyh)cL~B`gkF=9m9=!i~Zk zLyr}BVFo4kyNo``Godce(S@7ldB(D~WFc6oli$I{LkTFvLVX|pM@rfxBdqKsj+4ARrfS?>0A zO>zy)N@*78SwsW~Ng~SHchmq`@gv^ zS#o0H>4?dZ;m=aKq_0TVh-IE3ofZQeOnAG4=fU=Iy&IAI>gQi4M%ZH~OwbspvS0u(ECSONEQZ$5BGFFOD&+r$RJBht+0BqgTi;?rD52Hso%@`&)YDkzpEYW1 zqB3Ma;NY-bkRY_4vl~p8^(BkXq|66WoM>rjneLzIHv!y2cp(rW5~=dE+lCrsQekj*ZFiK+$pv-bR0Ny_P^iFBL7@*{hiR^@fkaHrOaD?eQMv{ zT6}(OrSL=AHj2LYH|N9TKJ8rA6j2R`ND!E=M6=&4V`JmMs$EpDDSwheF80_ft;TbP*I*QNwJhuH27*}Z+{fccDk;n2R%Zlf6!dA<4j-|hJ8 zV)x95=nOOW=`g1N&pHp9T~Dle7=kW-c`?K$W?l5y`$u4d+>2l8B)BRaYV$3oj=Nsv zF|%9J?IJRVS{z z^SKsna>Flc$_%wngcJ56w57{K;VrB&ajXXNKmf4z-1mKVoR7~qA4ok=U(+pQ@3^+R z0$Mg}(aHr7fQ@f4#=7Pf7DB|S>T?*1ZJbz9W-e0=wAChWsWd^dYzN#Jee8S zw|{jJYenD3YMPomxrSVO4cg|wwbTVa51yzAKX70yoPQzG^7UO_U)?}%>lI@8NPk(~ z4wa^|1%p>&ei7tLA+sZyo5gdi5|W3!Dk=L5*op)wz53 z3Dh6=hYnKF>9s+)G*cTI^pk>?`m|n1Obt2SsIor(%o4)LS=KC7=vMuL+H9y}wY{QH zm9t2&;vCKyHSN=mJzzQ5ROqI5^7ir3UG-{2yEku1HrxBQ%e4yaqhr+L)L3!EXc0WL z{Z&+&JT?w1T{``hQo<-!-a`BN3P8yeclA9LcC}57GJ5;w4d#58e1`kbxI}8y^&GVh zQUikK(QH2P_*6-)_FuSco^EO72;qdAX~t-pE>-$!gxT^#J<>)@jum4VLe&|_ek)c~ zDR$8B7i~Jh)IZc>kWR_#XtTyEzZb#TW`HTwW3h$j^EH@eNNf^i#$2=Z`;Kc;Z!_&3 zyTKU|s_Zp{{UW+uMvbGaTHqCxi~nx3=FM@5hgvg|H5%7AHZA%*-@kL_fOtlCvS*P~ z3_i7t_)Y1ofC0nZ!Nn=SP@oFkjC>E+#^$Ize$+cJeZU-Z%iema@4g%!-gu(356F=8 zL@?N7Yc;2<@!j?pkOV017l`{?}j^s~yh3o+6K;qL)-E1OL)R1H(uC#*g(wwTiV zB_Vbgt3`!msn)@8J-PW5@(-B=<8P{?r}q}mHZFai9PO)w7tc>0Y}Wld)fpR}{s!&l zID}@lD=xM=fuH6iLf?;MfsQSY+ z1gurePU)v;V@mb>%wPjaV|L}r+CZ@vhKOb*_&8MV4bDQue1B|m8Iwe;Qh`N<0>M0q z<0Lo==RfiM`O`qj3+@_Tl%XV14rr{~<*>f3(~0L?Y}6ezA30*pbH zA|wo%}x1>-0m!id=3wf2|Z4K99Jm;>y{kj`mBM{w#i}UsM^<8Q%rYh;{ zn*K0S>XN#p^(MuSA5MX|d0qPpm#So8^u<)&FvJ9#O)TmD4!JcG4Pj-a?5^{)=ow6?BjFMF!3jJl@CxhiL7%NYmn_qkL8o1Fgt2xo*U&gYQfO;!NKBv zboi^zKZXTDrT}#iFK$ZbYv5NxkA2Q=&p^})XF$YenpgBN@MwfDJ$OS>Voeg9H{Lnn z?k2-qmbvXTOtD$EY!J0!A8l>zDdx8z{92YyJpB58ht(dfmPDHO*$8FkUCzb#>=$B? zu3>w$Def&QNLcvu+0M?HjQxQJEh4^RGhQc)UB*zJ_n6fnWw_#--86W339In`Ce_?2 z@sLpgccS*pD_ZTq8Tz~?*{4T6MQ@UEr`bSA;(S~Is5p*| z6J{*~vU`CZY~H-L-KvE^@%C1rNz-rJ-2NY$zB``lz5QQBgsey^8L4DsCz6#tGO`sy z5lN9kBFc!6m8i_jj3Sk?XGpRVDtkmFBnkOFU+4b*&L8)E9_MuUeBSTZxUT2AvW6n4 zo4f2$YY+w-6mShR*jRky&2zIuwbTzDKJ4ySC$i+%uYtS2#6V`839a+ne8D;3!ZLLU ztC$UlUt~V=`c^^GE=ZZ1dY-?6f`p_wA(IPy7zN%wApRqGVs&k8j1VzE;{#5ytz95b zpWh5aOb8$bh`Y3i*Utr*J)Vymn9wDR*Xv4NBR9y$Cp@N_9TPk~8H31;OCO(=ZTnFZbRD-yliIE8ZHPKlDeL96k`hkMqE}~Mv%HYM6j3~QgTy|J8 zoX8&0wae)IY5Y@lxvR-u91Dx2WH0WLGe4!b7V#KIyy_ zR!KY^bhfZd$hTaEkyKw@`b;op%0c*mLns($o}Hup&E$a{h?~^PAVbNSQY|VI>&0F}Rl zTQ5^93eUW+ua5+CpyM4sbcH}mc*#%(?0`j}S+G+2jp1<$W|o{-C*yCkzkfG?QNl%k z9GA(?nI+I3NY%#fcao zG9w$&D{oMoLLU0|_iLSF$Ig(Y3U~ug`zfMcPH@lzdnsJvjg!T0gEmg$Oe^m}+3lK5 z;{2hO{_WQ0f40~%S28Mb%rYF=u;JIGOCRAYxGM-r@*&6_u!%AHfRNK<6gK){SjqVD zN(KjQP*lix|Kf)#79?OhAYagTm|o1*CE|)mR!|6d!>Ex%fwEz&*Q4|>8}nUng%s5p zJM5V_{SU1OH;<~+*^1$3rh^iebpAk(x3<8C>_!>FUd20$pzRK@vi5 zJwH354tWL{zyh1bK8RZIyu`8Q@e%*rViAaGB2FaWdHCaj*g}AhFQMfo%L*JhLAub= z?9eZlL{dx$(0%fg!5IS8nBNlo8`69kOEeo8={?D7Jvbk9$ zi)V-2<~#JePL!x7KM0vTy6tAAD*e4}J0!?`<*bEH0-u@|bSN2s0#7a?Z7^MtPO;<~ z2uMSK+c=OJQbI35`SsXhsR>zB5jX{j6cw;M)2;gJG(s)BtS{DI+pRCabC6cE>oBXB z0Uk3?lm;300;CJ-%il3#J2^O-(BUoN_5kNZRGz4I3^BbI0u?A_h=Cs>Nsx^1080T7 z%L4jAM$qFS7=W5y*!J$v=93jZ9LOaA3x^Xw4SNmM3^7zeNYH>gm7-hQ9V9VkfSx*Y zrs4X!4KV(!!wxqU+z!ASEbYk9P&Jl2QBuMou>S({l88T+hcAZ|EyNsAQ#*J?&gLf` ze&)d=%$BzM&dqW%e;vduS{I^tH~-C!AR8PxWJ(4kr6`CDN}P-#F@wc|7Y~LI!O#;E zY93rIoH`&-^$}*Hmn#Dw0n)$8A&NhQ47nK4sCA!cRc8%t=1lwR4%N*ZH3*{S>F!YG ziHF^P1CT)toGgfR(_iF3&jjTssWw54tHL{nX}P3{#DWCoshVRn_v776>d2E|xuvgB!aVh2WB+#U);gzj{VGe>x+`rwe2u%~G%%3CG`_dVvl^;m z+!FxHi8+u+%MM53i5LBk)uPSbn~!~G_(+2pEeOU8LZE3_WUon{G2Tv>;PDJYO`!IZ zC?$XmP=nLoiV6TSDL^{Mm%k?@Cc@eY&G~LQxt;oKg9)}-fFaJ~#lAC8$|loWXAEk#LV=y;$!9>Glq z0E8S0MBB|x1J@WqD+z&=n}@*`Lc*J!r2KOijGI4ANK-~thy1Wsq@h!R$`IK|dJPva z(|~kxd@MlU;Ro0NopsBHsca*G|DvAIZv}9ZN88iW`03M1jMzCF8%5ADL`ezC$|xB& z2%QC2v5~7p_Ou^^N+1CSO~r^b0|fKn)f{D_#GL}=2y`}~M9ql4lig|T_F5=01lkO8 zV@mgEgm6{nb`5b&pT~DpfDI>;GyWlzFs`gDf#UBf9NBZxRu9_Gcn4myn8-T^=*jN>~ zxKfI$dO_}?_}!^JRt`%BcJ|{5acG7E1F1ltBmN&qE+$x#fv~u`{8;L}5d%Q3Qgor+ zTK)K6s9ngkqZ2PL_(P=*#23M;>BOp*zT-+A^rbCAhPY9@IZQN|lVjXK3kKgXT zZ{IG3MV0oleP#|^zp9q?Jv})DdX#(?D4&nD6kT4J(tCdD1k_{9;w}Vz zWP}hJStWpdh<}8x9bXxi2G=!TewVQKWz>`7y!9I1+do|jG}W8LQI7rqGr=}OTJik( zLE_P`sUc9lTsPGRZ>_nS;l-25QL#e4;ZlYhj$v*2*CSUb}LaG}lALD_P z_`7e%!*?hc^kK{{(QJ`<570?9J*T$>439O3u?gFtK*D1~Fb1j%Lu4~xw-NmuRN<@e zr>1c$wdY!Y5b4o#Ww82m!}5IBW7A0VP}k;)DjKrFRXGFoA*`pI;s2ID)-E9s~R!Vt-KS3Gd<|EkA{8hLDse2mV4` zuAjAz%y7ixMmKvG^%T*sKqQ6XjVXBT1LurNf?ShDv~qSpba{C3$I;%4H23_H_6~0e zSmhSqw$qpLDP@{6Q*y8B^1*yE&*tZqh!?2m$ZT=BmfcA5fL0ZcnGBQT2)*a&cS# zsWRK}->=O)QXI2iIb#nVw3&$bjw*r~qE_7Oj!1$)fBB~SF2)Os12pA<&zzttLp4;8 zl#pT(yrycZzNq&%voAMQ(e&zJ$3 zmR1+S47+V0KHJ2UJgjxiggpQGlN&%aVLw2jE?oYFo{;32z?0{m>9wU2(%t1NfY&2YhA?J`6z+R(bUH|0rXW0%F+nZ-T&u6~( zchWA@RHxi>{O$qk2yPm{)IW#o=>RDwi3BpFfF*}nfy4}q%I?03q#18s36w6b5*r9k zhj!;ZO#QAVsbRNno$8tt3lT7CF;CsleWz zsMT@Ffh8iN$S}_5tw`mHGD3zytZz;U_4XN?4ofqSEEBv$!RD-dn);y2ml|Ml5YZ1~ z>(~I(T{?E#<@|Z#CLvZb)IaaKW!84O25>__nD*r_9nv+>2taKXM3`>v%tHUv+8~~u zcJ)80+P@*e*m}L8o_n>hFN0TXQQU`0){reSiDE z(FDt#-84%R-aql_&o%xN@*5di<*)rXbC)hNs5IALsLaaweRC?m&nx;9ivh+##ZCMvA6%$BS*>xE+KppQibCbt_SuE*D86^R7qFBICcEtjeUhyQcmt& z+LOZN7h}SLv08D356?EWJ?vGrjs5LG#0PNOfMufA)^1tf(u1j?s8x)*Ie*a`MYK{? z=gLLfj<3K^LaKE%VC!2Pks^elAhKL$mq{^>*@H;sCHe$hMr5)Xu&+6|Lq##_1y+VA zyT5UT2?Nhv)XfXD#;Z53sW4S#Z;LHz`m~ngbR?Q(n7lir90al?^rG4Dpz@z&oWV$! z0FUhS;Ev}Tvre8Q>R6l}Z3p>zUl7eUoR~-uiE=p%;Tm{yXs2r-h=Dm{9*-Y-7J>v2 zK{n9c8kG;W8vAsrk78QRl7h;bMYd^L2o zu&|_OpHSa()R*~|zDZ6SoroToJXJKj?#2qT`$(w{H7&Y@w@>q7%R{ZF4$2)b6f+=d zuvv)i1VTELlhS(fA0VI+wr6o$SR)s(v89*{l^Vq-8M?Vkf1WyzH|Bp=Wa^S<3-rex zf%pMvZ`w0~WUp9fE2dleu>~P7+T1b7-QU^y4C;sLz{enQVBK%X*K!#E7(x^Q%<94w ztd#*jJtsk<5S&xsrhBcG3|MQJkvg={Tsmv%>gmHK%hu`&?V8;6@`Y9es?Oq$|3(lzyr0tK zVE44!!YOkuf(tbcciNS=; zXzQu(d2v#zVsy3v*XXX5oy5GE)L7l|uf}tsy#tFDW^P*rP3Yml!$nLyR}wBU2FoSr z8*#M;0UaTfH%57?kb*}wLWC1zas{oq9PiPM8S@72yS&oxMiLyR_LyU0e5m@yMK~4pzLSQ z>efs~12t<{;1hPCu@+hrR6Gis(fD}gJFbNzQA47-$LxM|A2;@To-|VAnw1``yr1>2 z=W*Hq0S=c_KN+p7YIeDshf80_{X7TMj);mOspzio7}$bv0)Dp8Z;h4~0xFcXfwk{f z*}LW9*>#FvMaMpn8 z`K8A4X85O$(*VIP{?zQ|;X!hq$S`yW!GRoC91djo)6bIJUHq#o-A$00vhLL@{umac zZk?jxLWcz7Tlp(@#J*4lo)}ZNpxG+iZoOxMcK%A#XV3ZBS%V&50NDc2_%~g?Z*n8Z zHA;k6zvj!Aq+gLw?G%!6ZKkiv@ zi$Pu8lmsP|w5cm$(m2JRyk;ec3CRcv0Cr^hAxt$-aTCeyS+{x@3*2;d_iKlxzZ?&G zGicv5tg;L`fLef-5&t73|Jd59w^wv2}uSd$Lz&tw%onp;jQMF_annpq9;t8KX3UWpz%mt? zR3Q&n8?vYa78?gDZlNnf4+WzxX#g;JV+%TiQ^4ZM5NtqiHja+>rhn}l;0@p2wdVZe z57!3Hd?Zy24gr#vLvWy^q+LMEu{78N-A-=aUa_}= zCgUAI@mC8|JiopEEGa2n&yqH>WG!vlyg0neqEFTbGDx@^wy?9C+AM(|fI18adrC;8 zv2ig!O*=Dx?F~<^41uyAQ⪼B=`hKvU;li&rUrB0%b#QK{O~!Ae?$JgJLsCRpfEM0Ny@nc!hG9EEjV6RY=k3^@A1P^(iKl=OwIk;5;3m|X6 zh)sCOw9Bc&;7#>156jbSxa8nV&yP?PrU9U!1O)>q6F3vDlHr};7GOKJ#eaz$K4w&R zgu%tFjTj{>|H7pb@e6~BtX#a@!+tB(mlia&bRMCM!zx}~<@|bP$d8@*rnqbXiY2tw zxLm333IiiYc@d3S!VwV#xn(Dmgs+SI;A!tLT-!^OMM4uOhhW(x2Nqs2X$|1_RYAu| zN^pWhAoK@ZyaA+ygdkce6t=-zV8>fvuxTD`;vXpYS4`GpEc2#qy{h=Vjn3RpErs!B zc}7I~2FT7Jy}|z8N0gI$)48z(ex#cmsFt zvReA3_|w@~EBN;fw;z17yXDIL^TRg-iD|$*Xb?#3ld2$Ch)a6!-n~Gxwk>PL88tm0 zksp1nm-L0goR<7iknBi50y=YN?VmndR3&1pfGTvscz~<97(QW;S?@sL64@HeaHQ+O zX?Gmp|BQE8iDUcv`=M;c=lPob%-pqOHy*XK9g*)yF|aetsNy#JF#EGmpkz`JisC-8 zyd^c5YTH%=UEAtH<52z6jo%Jy+&+3~l{KV(Wv)epd?#`kqeI>wHu##5ATwGM7?!KtAKo|dIrYzy3(ZyS`t4E#3c(GE*!%0iMd7f^^cmCh1|Edo zjjUM!A3W3A3VtLh10j}(s2H5#e?M~v@)rF(M}xGafq;&K`WA5vLH9IhJQM70O3})s z2{tm1x{=xyDq^DCN3S&uLk#`)Sh@_+Eo5#Frb*yoWI#bjB6pVPw(`F6p-=66|1F(Y zVmB|%u9NletFB`qrbDw1p%@u{g5%}y)fQn!=m!43!yS`M49|{tf>oy>+4*Rap~Q?v z^uvVnH9-;#Z=CmLhqSckC90|CMw}YDN;%FNi7vur$61U$LcViKB%AI!8Mt`L$mQc5 z{H_?NqtJMo!>R?9fO2$CQDC+k{XdL*BCc1kb(U7h#&_VK>* zUa!P=2JAEpe$1GENS-&4p|kiWNvEL%MO8_1MUkWyRO&UZ#D`LfG%f%Db9SGvoRB$I zyV!&-Hylo@`Qds^Q~nV5&*5pU6mf9{O3rZs@thaA?s)F3Qn6-NQV%040k9Zozo@F- zBI@+Dw?~rGNr5;mQoUeZM`@M3gjE; zZF&H4yV`>TIo2&nkvU6%?9q*F|1!atdam7ajN2+rvg=K%ilK!-T1z97`bIm`QWh|j zJlHL;6k^5!K%G?7^f)!e^u$4ICEyO(Z~@Q&gd*f1Kgia+<<}3+Q1{C8bG`c(_e?3T zFk2r|>7^a>VrQ*`rJbasMj049YPQ#TAeR7(g+ZAoL$&%EH%`!mVuvlenEh{QG9%^> z5I7X#Bv#9#pcY~deefVSrRjh6eE9OhGL>&1iLwPTg;QkwL%wrvv&hN-4|= zuJB*Sb>d2@<6%+LYGn$(I^N%huKSxQ4wM}N+nkOY6#B^xqOSjZOiEvl=19hK(~zlc zIQkJ#QR=fKj_wrj^eM=j0p~+(N9a4ubFO#7ic+@6DOFP`x<8BS``19PYY%XCvFcalE)xDO!h#3ME*?~#`j5A^d$Iy|h{1?p7fRoqkiH*|po~5mtuzmFP zk&)V@ZC;_GdwF$&A(lVAsIR*z&F4-EW?k34_{^NamzJLqcQ)c6@PBTau6)x-naY2m zQ3k&=-jLx%*qnq(ZsXVy!^D+* zR^paXD6wJH-9neN*OEhN;qXZeD2EC@x6C=g1_lgZ(uBrD-Vn;}^+e+YcP%79Z)Rl& zcwrD4M`46Wk9f%69^z8kEnu>~x{lRiv88W#jfZ~LSLchv1uBv zM`*%<&VwAFI)FDKN>Zudj)TmV$*HeV52Dj@y-t)HeAx7I?Caq2w)W5Sj@otnaiKb$ z`A|7hW<(P)9CXM#+1|sfe`f8kpzF#?(d{`Y35j%Q*5E^lL)k+@b5J_qcqIcvkY(-D z6Sisd02g{PX)sQ}t*e3Yknbfcn~0+g31y*X>Wrslu6CPTzbK|iIor;}5%A}`cC5JZ z`Ga8f(Y2`HzUY=(`=6J3Gf?5-+m8h|&CcRcN?fR-NId8giu?=N+Lt_-n9$F z=Q>b`U&TNC`q3Q&mG5zQUSZ-SW@;dUkRA~?D%2nd?lQP2cvGCsIAPi27q{-l_Mwp4 z_4+{-s<|0~DMrMQ<-0Pg4ty6zAoNg>DIzLo4AtbP$~B5xDmo}pAb8@!%|7{c^}8fW zv;T5h%N-cox#UyQA8WsU?m~!sAg%x-Zeo-lFoph(Qj zEIO9B?99~FgAw7ru^Il0eRIOtuk-3c+u*+rss zfwm&+JqzZ}DX|sU2*?cZKst6pP-4-&X;T=PocyDCs}z)S<&O#a#UEc(`B)49CgL6r zLFf+vJVho-08l^iWbv*(VZIVnR8J5nhXAz*IJiNwlQICM^qRWfY9(ZAyMQ*RMeNKu zkWfOb_YW2HY?asB(mBTht#A*1ULe3c8+@TI^&e_=Ce247%!E9L2N_KQ1HzI1OPps# za*N!%hZA388WFsM$f2)2gaF%s=HrT#o1QYU1@I5-y6x+$ye0ndShTd!@{;5#*tOq3O1!58EnfT6&jIOMx>sHebMohSZyj@xP3 zXRd2a+afTDHgf2H@?v672RR1g1c_Y%?W~t%UoP5{GGsX#ra$HTM~RJ+%(GK0F?I*f z3PP?P$3*G1#a%o=_CtH`f+t%CIAc&K# z!rcprJ_)%+Cq@$Mz<5`*e7^-BY%x5JKq4XZM6e|qQ?`Yc;o*#yGOrPJ@4kU1Tivkx zyZJ`}gmu8>1fli4d@3w2qE654eypi^Of6MEB|rU!`9*gorC-a7&{yI6J5EoEo?7ul zNK%|jZx%iT8LJ8INmNo?*-|}zG0Ja3KE~=E_on3?GzC@6IicRaM> zwcwzts|$IE%HEiq<#-J~?53way@v4q#(lr`y0r8n-T_oS2?!Y`OfU>aa?r&!4s^YE z17M%Tl!4dE#1g^b3}q2eK0w-oKYZ`9e-Y9A8_f2u>J5$E?%g%DHIC3R64_~&HoI&U*r9V!-r)OHX1KZhe@isOj zq%!{*Z`3`Ot$Q@JG!zM2_sbE7PW<<6cU#6tF$i4<;yGezss089u?kzz2O3r{ztLcI zD|OPY^t=d*e^kE0Gj19T4kF1%BtaELHEE-W@Dai~Q1uSW4}odq&jQmx8%RcKlf8`A zh-8oBw3GMp0%pOoV+URKUZPZkk0K;2OgqUZz^cOM*8H=xZ!XarZ>^F{Xiiqmxf#Fc z_%Venz}A?iFW7s~5E8)=?A9b22R0%y1qetgv43u)-*#vE)eW$ID0R^waRARYPSi=& zmuU*7;tpqUfV*5qmUAB;A5@)h!AdyfuoA>>_j5eee53tX-uGv8-oN52s!o? zA|jjiRpV^KsMMnn4Z)xF09rpF5+HK7;bM=1xe)4NP;YLt9ec73+4(GTOLZ-&1FTZn zxLW54$>ZtIT-{8bVBkM#CUnn2Hppj|D z*1yxcR7GZvzdj?3yqr7V1K5l_tPr3=CQA}<2y28)OuztER5S7Eym?BsFB;gRI{5bQ z*W}DM!gv-G0Ka-84NOhhp@P%8E7XLef+DW?suip3b(EQdMYdGRpRRWEb-X-sNb)Gl zpXlw~kBcu<2gohkkc2fzz1>#+T*T7E+vP<#2$~Vp%UtAS$WrcrE(L3@9X`#vbyoWM z6k(?L>ty=rv51-;*bC#E-(1s%Od z!DC~*Rt79O>ru9l!H1B|Vs!V#Bvx4pTvy26J1VyOXq~}Kiqa0pj|>Jnlp8G!KNOz4 zKS9%lQ{pKm&f!y%Lmx;SE*Ubs0)+>uQj>(Apn0~1XP;?K4LF*?qq&`s$9YoUdrq!Xiu1@|WJKo_bVcMq69NLP->=S01Lp`9BM z$pw2HgyEYoSP(1$p;fOmv8Q%@#TAJyfjt74zplM~Hl}+}p%l0=QTg@u$_yyMqRs&ju3|Ocf$>xJX z9O_>A&gbY;NcoL*J0U2{kZlzzk)@~3v7MqYNhyUmy+gJ>m0b`YZufo2dt zhwsGnKSB9gfmEV8!6JZ(GY`mZpp_ZE?|_LW`eVmhP`x%m`iy2b4R_LYCwjemqU%t( zU}i{?NJ0gb_&734hzh~;Rwy<ham z-_^e`h+}2KibdIWIK=u$rfKA^rRLr^e+@ocXckq})ZD;vKr0EGh)TuWyVJzla3`61 zciBRa!wcr7u~P49+JNg|;}O)hly}`5ARoy-gf2noSz@vE4k8u6o+jW6<_i-|(rHWB zZ@_`U&!^~L@O5x7#qgfhCsjD?mvfC_w$t?g`wep*fZgp>@Fl^$5Y_@sFs@iW9zN90 zA2U4EtBc-gMch`U!0HLKeD*^%fyw6L3kwSz2sH)uJcjyY>F#&uOw=C)a32{Vl;iWZ zRdh6zR8+GqB9)_pGbc9UvyNo_TV*Pry*crsJz9fAd(VI7B9WcM^oOecKMQ}Z(bp}3 z0tz6wZ`fvL4th{OUECmhWr`4HZgL_xa-qQOK=O>9Jo_yblGp%m3iLWBxQRD@`x4k~ zbh%`vEePdTH$EIUcp%Y_pr7>LT(KA>wfd1 z(E%wJy6Z^JM>!cwU;6`7y>1Hn9ia4q8xQ2o$@d=I7=QpBNy!#LyP{>wrLHIRaT z_}hF)T4pB30&q9FV{92w^}t2}!KLrzGN?*$2tK|MTOlo;XNMcM=JRJxjBpg{M+kKU z9(+#zL#kBB)I(Icy%%np2wP^KWS~_>=ZW;pQP_;|-DUJFYZIWv``VGSg;zl@cE4un zu39pk6P*%*Nc=9pt*HsXv-9nF&Ah$B8klqe&V#8q)5|jDK0Zc!>JYbjlE23TF874H zTAFlW=kjlOeV4!+!R_a;gX*p&R1Y~$)>J$)QL?2UWl>Kb<&DCL_*^LeAjlAae!lR= zqv{HWwik58BUIt$&#(TUS99xAbF@JV+MWmw$Z?Lbci3vTIlk)baRw)r&D)x z++k%TheDlXdG~`mdL*mgZvL7kf0yKL=35Z;cB!qLPA1r zI^&6!;wEqFTi?=VDCnC{<1{Qj89osg%0~S1rBfJ{6_3l+_T0G#V_{0DJduPXcZ5!V zU{-J(B?7jE8^mBxQ52nvH;^uRl9Yi*u=Va;l-l-ZIo}Eby9-fCQ|5HV-+(4PQMwyw zfhgbugt0%&-}9!SVf;0xE80?$%!po%{NvNFp$bJSK)YbxH+JgBo6X?V$X5oh+L zhHl7jNyB0P%b2P1#hNOL4JD?3Y%=as5~%U6EByO25<^*(03!eA$q&P~!@@>@03bD( z6;v!q{~S~1O}9`vC9l2vXu1#eh}{X^QCK<&9})s1nz4Da@v9=P!FIxyc-wjl zaw6f)x{kV)%rz2XXUWOQRhbH06;g#k{rCPjEp!t6tj@gI<2tugLhqWqs|zV*CU=IATAU0?w|Mz2V8XQ{0EQzT|&1icyj~yFoA891&&rY#BLy>0p z+Qe1whAPi`aXeXpPn3yr$eP1dX7vC-R+5Z10T+kujI#w&=)j$orY_OX7^Ty11LJvbpnmV9T2uACD-uj23 zGD`-t^!_l$%Hrjt&J704ha-kOc_{IU;h8kvpk#v+79Vq}IIbMp5%Btf2fv=aH=b^1 zOBU^Z6AKHAsr=V9gRRz^ZWK><0v!Uffzv4dwCp{4zySE`_`VU>aFiBL@cn^4sDrt} zqoIP!5cn%^Ohy1VCVW@_*|ddb)25}-PxNa^HQsko1l$a|$*rxsUy?4s??8i^6{u*m zU&OO3)Q`K!{d-@D(8F$t>G`YM$RhqWP??PVcnXQ-AOsKq^9gZo(!PZT0;6S{JzMUi z)?#pP`@V_o+qT)9Ib)LD)-lt%W7MtmRn;{ms5~)234COH{?{ z*ABn+9;EHw>rWi|TU( zIv3L1qW5~Aa%#h{t({S~)n2`EY(}S+hqyme!;uhS1TG^`BiGpRKcOdT$?MAVQ9cNi z4pFI7^BY9zl<=G&$Bm8ZN4~gsI$&*99-e-JagicgpK-FDMMn?Ip93&GuxQ)RykK=T z!pX^eO9kPGWJDGgM14-oJ``m1`*U)3{vBZigR9(s`TIQySNT3!+1xpEDh&6&0H*?F z;Ci^K)*}1jm-e7jL>fM~w%$IxDp%K;^^0E9AB15@XYM!+c7><&CgR<{@Zl}>SQdiB zCGqG)X=hd;!i=gB00i*b3nSsozSI|!bQRR)wM)Zwg&VTbPR!dy2KwrOpaf!fZU&_P8 z_ayv$@?Iy-AMHMV5sCYCH`W|P$qd_K5{g4Me5N?$+#iSU2=z4vQtL0bx57q=Qj?eE z7Qa>5At0=_vuUd2v%-!zx6&&C@h%Z;f9)%${!&qaJe@RsA!qo6)$S&Sa_cn$6?o>? zCH_tXiascoQ|C?h7Y9T?&1kkRagwmShk0eBU501&!DDo17cYK-a(AHVKGZddOFeO~ zkWPTX>5sczZOS)3&f%iYyEcCbTrdGEs+1(y`9CNZ0FfCCWtx} z?B_4~bODhII2O&zJjH-Ii~>mHTS-s3?E4V{Ki-^Jd*`cs-hZL*E>`^T3X6(3!vT6C zX=yib3UbjDUv6k@fCe6Maq$*O z2@tZQAD^b@I&tzcHw!F;2%J4yl(89Kj>^}cijwle_dY3%7;7O(6yTw;M}+i~$*^-Q zB_r(}|Jm8yB#&F?myv;#u!Ru)2Kp9ThzI#4WtzZa=9xI1TA49NEQ^QkUR2?`+YivF$jh^ zl066Ls2O%D3dF&tGq}D9JxI@+%7QLoaM&PC5stU0~Px^a7(&FGanl_t=RdF zf9FF_Y()Q9e{e4>m^u&MI0v&U!95S+Z>M~&QNXe^jH3HLC)GcEP?)93-oq(3W?3MT zfG_j});=PZ^@yIr*)Rf)Esmw)&#yp;*b--otSpJPD@jxiv(itKgdGzujziYsa0Vl^ z7h^;Zk`5HuS~c(pAU)%+V+}CB5DPWfc29~imt%i&-6Itw)8C&F^MMN)1^(IgG%A4B zKoJPSeGv5sVB0h_$mJ?CWO9!w7YpK{N=Ujt*EEozBoZXEwmmWs{mpVuUvP5&=L<2 zC45lckUj5xnV#(kF&nr}KKJ3=B^;o{M1dor6QeJn;6+yF8T?mMfps`N6Oc{{xpW$) zZ(!mH1~%f8S0fT$vcy`-Cw}Fz)@K0ZB=itJ#&n+-+y8=%ww1>!K|pa&%w>DcVFk|- zD%Wy@%uL8+s{u65<$Y9DQ32FP^75bOndd!4eV*;nbnQ zJ#WU)GS$ENc#q(RxX|SmsB_&MarPq2Pp^E>EEGQoU?Apj3^)Tj^q+6%FN^;EOCyV9mb5k+O8GDf0K z0ThTh)5LuVI2A#w?K^bHjPt|=Ov6F1NoKPGTY6V)OYD!u#l-?+8ajM+D*lVR>v);b zvDo2`_u5qpRSEJSlZhjE`L_#x5QGY8_~j(rhVZ&H>+vcY`ub!|O}+pUBON{tmc`b; zu8M)kOL)a=}-8`D0>8t}NcYm&rFA zn#6PsFcE6hAxv>Wz}JP#mk~~Im_%s9{suDy&bhbUSH6D#-U{snhWOc{jPi;`OtmXj zl>W9aE7>bo4_KAG0mWE)b#2|cf38OIJ9(KIN}NX~2Nki+iPs7jO0#=Tp=Qj!c{v@n zaMRijh_yG0!gfc{MH0D~KafxjMAIBHIf~PH`ChYgduZ0f3~=HRjR|IRAncm>@h@L~ zCsvvX$30F}Qq17W62CO5A6K7up3d{aEnv47A&rNyPY0(cCSRFFh|~fxB!mg*u}L5h z!1>4)KygMQL&>Vg13)oN+~a^fN6k9L5WoO{V|aSH1*)NL+P0nuTudl-Mm{_|T=vr& ziN@k6)8@tm^$X8)0++1C=iUS#1$m~;k3FF5zC6<(X=6=YF5TAqyWiwYTaqp$#)LWo z8ZYyE0&p$1l_xT|@Ov71+9ID-ZsoD)>-%V0a2s_QFg~C(M_roUMPS2WfYf#XE9Q{5 zj6iQ`*F+n#!K&l6B|CX?Xo<0E8ITJgvzLkR2S~`poE|d&kc6-xorjF_0**-rk_`_B z1P4odJn-VCVfpm%KO2Q=e7^g0kQYej7$jd}_fB=ispu~GN!X^zMM*iAglv^7}GJ4V@3EGfk1lr+6 zlAJVDjL2d#@K0KZufliSCg#S6;dV++jdCiWc7q?X0n7KLfn-|*X|{65$$uQjyj zO51ttF~5~rYMe5)aEd~JFo%FZ;)MFWSr-itiUr&r!$U(#IMJa<-}!L0fy_?^@sC`Iou53u~2aRijF*QTy2pVybzVqg0M}?hV!{ ze%7CVfBWZOndUMlnk%fnUoN>Hw|{Ci@UCrU>Uahd^?QD8Nh+mH7tiRQiJRTo;QsF4 z>P7o~;tw`_&A(7?U1%jTl2_g{{H?yP&HKZ=T(WD$5H8KKe}AXpTYa1Mgu*{1f9~;Z z+4S}|kcttozPX@Wl);zg#F3Pz^?8QW{ia7f_TY<@t$n$=_3KJ^YPZuEyE`1TD;=HF z3xsF@M9CXkcV?)8sK>e5kp6?%P#v#{EIHJ{5)2odrtD6+7I?{Zza&~ z7_X6V=?fR#9n|YYG$k$a?}F-niebl4IR$BD5Q$-&mg>ceVq;@t+1*ainlu5qMgq&- zLR?OQsCDgds~64w1foxDw77dh!oxF)ia=!VfMr1caX0JMt%kC8@u$Fg9#&jqQW4T>rfft1X8=bjmJ+Kw+I=DjdIK?;=Z<~<|*h}<$iy(gImJD%q#@cpL=^b zU<}8Yy#2z$s`(}o_)k$%I+%2;aKGH)SYohGlLe+x@#JgIna@s|O)5~bw%(kKi@&~} zUs#!=lKSd3w&@QAXWMHOF0XigliGgy$H(?bPjLwel2U{d0jUx}2>ED-pzq*$+N_#B zhLPQE2Up$luSo1(S=q9)R~t~d{|)MxJLlPj1lwgID#hPq9y zPs7x`S-vnk`;HX%H2pCL2M5Rlr@yPX?nMA7G%aA+814m(;u_p9B0|*rX=%Jbo$-Rl z0@>(EHcgYHR z=g%KdOJ}C0ruJgEf*6WwDJYl#v8()EVPj)EWoK85dH`CsjI^`>T#*n5x9*OVtGTxL zSskB=5SHuKt#h%Rr^wvhP8}4f=-?bVG^F5vRKmNw+c?uBJ)3E+c+d<)j!urlgM{5s z^TBz0=fxNAu*O|i^QtE-@=dG`PfcxjRazRAm`HrEpVs*QY^K)!_oXG&VAmfOXBV+* zi8CqPPC41xiuopF2s}0sLQ+iA)xJL3m;C7Y^ShIuU+?fapvi()KaN_?{`6^slPALg zO`<3SB%0OEa>&@&7>ii#_eytHm%f$NF??quPNC(Xz@@MF-r>skNbJ6M2PhL#(Wbyl)(s9L&GG#`#O;)_8iwPoW&MVlZK4i6;G zr$Db96d^V6GLyFA^Cqu^OvT@_4_X&PdCC8yfH1qg(d91lp^*`r+() z%fCX1CDE5DO;l#K2wPN)J-_SRaz|0?F+5MT^r(4uk&=ow%QtV{R5dhgL`D_vty)xM zfJAwau>eT!A_!@$sD9p=0j^E?CfbvUCEJ#%&9@drd2RjevaVHEy_c4%=vh)2Q7gUDC4mwHt3Q{-*BVYwN(5zQ2HPUg&{#P>y?5 zaa8o~)nI)S3tI!>y)j=N=d6V6=_@3_-|37!?+dBaS;9~CGkpEB{E^copBDqQ*saYJL|?tR>080C3WIn@TXpt7}p%VfSIbo617tZN}Yzk40BIUlCpryBnB zHEa6n*Ygdh!?69Chn7p%aIr^^)pR4(4;-WnwFDjODi<5Is<&`l~!S zH&+XRMbyQ*DEmdG*#{0B=_MGGkpMF6NOmy`i!yR?(faNd6byqX!s_bxlKzf(#rGf1 zUeq~hWwom}UZmDeS7>VEk>-0Y+lt>M{IgCKEg$_W6`e3T8PHrE1)irk;TEhfAZpE} zJ5Pvp;-45XL~N5SHJfvm(!1hXkaUDtB=6@NCdJ3A*M!>@x0stlC2MYUHBSaA3>{6) zO@IVP(Qs^|-^eQ6oKJF-gSmYFn0{W1tV-o#OrP;C^s>{89yAn)-CA9xHXfrDn5r#u zEMw)|^ET*#Y|2vUz~8qb4D5dRsvP1EquXhAZQZLT863QSgD6NnbG!0m%WRtK0|U?) z{&R9|fVPH=W+ii8prD&G_=a#bfY#-`GpWKCAT-UBeSN&YBB3rswqRWG{Kng7hp#UF zUtTO=+qSRK@4CY*Uq-RM{WQ3nFU zm+XI5p#Pdr6ZzX>ZliCkyFDKMevFY`P-H}x`$5JI9F?FDJ2{0t8P@w#I0j}N*t4hp zSL8e0vUA7k)8Fbk;AAPAZP-E2d62&Q)=UcXss_c4m>m-$l72f8t1W|uoQwoTamIt~ z4{fv5)z*6Lc+o>rZ?~RfllC=rZ@i2H3rINb^Z?i*fqSeVP&zSjJM{Qp`$_~cLi25+ zR2WM5sD}?*q1*jId!qoC$Zc(QU60AP7w6Qs&GG+{8d06{VMN4dt2{eaI#MhUm~;x{ zDKhi#sWjdPR?V4_&-rY|(f7gl6PMuT>h^Cw2uMNQoQyRcicuU-fJazg<3pBr1nfsZ zd2a8JjsUp@@e1;@#xvrroaQ%jDt0u*bjeyg;gIudX6>8(n0)_yXD=sTPVa7G&FGJy zdO!>iQNr+Wjl-E|))M04It@M({lyI&vZd}nY68#ncXjhT00NFhH009l`~CkA6SVwf zQ|09enZGdSW->b#X6h(2`QoXCE`=%;CH*cE(cFu~bin*?qH2S6-P9g_Rx&lIEZ5RC zH_tf{Hf@rdo9j98@Cu2dvujMW{e#$`W&;1slrJV4IbyJzZ1%Suza1FDkJdWVXO0Bn zYEWzZIyzd1lR5-ZF<5L^WRzGQH>K=f_54?kC^i(_EQQSWA8OEEew7L4X1hZF04s zAtA4o#*2)b85terYYPUqk^ZE}pO!9QSg<+u^6uVsK_y$_Jxsn8j%}S53|J#+eYdxX2#?{0c8%URqkJ{IvFAp*ecVLr@EK zv~J{6v?PA3)7Buv2;_t8!P)tFI|3dqe6SQQ&@}65gX!pPdZawMB05;#Pl1vb-tj__ zJ6k<$y6byyaibCC9}&9h3cK2k3ia=Q_^>oauGXRc!ms6%65hO`c5nCrOGW;`zmB$- zW`Z33A^p~cJwQX$alT=KeDv|v5({BqD`aXpWV~wS)Ii9BBHmqaUAw#DomnLKBI0Q# ztziVj-IHqUA`pyk6*5yqH}JLpMd6BaIUKXF&tQf)3w+#ajUT(TC18pJQjI_F5AaU$ zv84UlF=!In&~u^<v`dk@#Fh9>#m!m~>yU1pP$F#*o z!8qAN*KR`)9`#8h?*y<6-1WeTdbH(8qZJq!nE7@_?L$aFzzM$?0VVRLa;vuFwG{`iT^7m@{~?u53iQ$3 z#_979T-R5Be^j6J3ee@fe;1EbUQ9nfNRwN5f`Fyj`FT2fVJP*+FC9%{Xv7~O&m(RJK|;&@KvQOzvTFCEFJ zD@TQU?C(cZCt*sQx2ofU_Yt(|WL_J@S^$`h+uR*Rw?S+y2GH(kdi&2$?rq)6K5%+& zz6|637@1Lv7fQGo=fd*e!SUvQr5q)43KED&108V>Ev3jz@EM}NhJF|ckVU|?)TGPS`=@w3`sMWS)2-oemnOex zs67tn4AK;-%`o~UWehokuV&Q!79B@z(b%mLz?p#mymu;r0uFgJtIL9^qO~Ia15oyE2Tws&3*G_5$#lWXDcG__u#$<;q2z_j#0-vGiCD;pE5K0-n!gE zrhc-p<%`6!bK_H%iC6FTxLv&HPRvf*!qtk3i_uv!p}RmMGyCK93?RXd$+Jg+U6CME zTv31qTKWociI7RbrdO`e7K|UvGjKSs^TIIasK5dIYidZ(1q1|;;QB1j`rF7zEf_=BVXfU5=BYUWfav5v{!EY(0DHt6#9)k?R>(R+RQbl8Osv zW9-{E>xgTXVHH~sRtA@splR!ND#6g(`L_~nqOM=$!mO_2wT$Bautk(EPGNw3WcZ$= z}(Ao zH`FUZ?DWwUhR5;8AN+MBk<)^=m182~OZwD_jruxdsGhZ|hcvu^^>$cvd(e{H|7aUz+ zNc^UvM;j7K&?Nzaw~DFhiDJCdB|~O8o8E+^wMS*pWt@IM-%+Qc2A=x;hDa6gBkLVC zdF#wbOfg>A%mjkyKkJs1ehV`k1g$GToU#ZD``*dPNhsl^%tvs2N!ngY8LwYFd?i$W z1lXjo-@E=(>kd!@Q{7LwPzlvSWovi|laiC8+lfhJJ+Mm6zA)I39mXln5Sx^XCUxbc zhqo^B&Pe>-@ayh2{<5{_NZ^xbCpwE# zjclO+5(P)VdZgf)0_QWQkLA#B)sRqzC1>V?^QL_25b$Rb{#WAV0IAFODZvH)F zq-P~Ol}mQ$Vak*`yZ0}MW;KzLxmq^oLg(U7uZmI)%osM40{*AS`TSUA%u(ji+6UE0 z2l}FQ>KT_BtuA*1!)y#r6!$k1vk&4ECgF2ZTZ z1Q;HD_cZl^?~$**v77ajt?|!3y&yt0z%bBcVuh~>c~Ng^6ye{sPf}rmYai1uhAg!| zF%gTBwV#Z51zElGTk?N+z}d=LWt&&1#^6lryz*RcKMS;Q@H~6$FIfen07cj3aU6IX zcjSxjmI6%H^r^KQd?4*YIB~%M^pD#vkw^v=JhXx&bBp*=0-#QTDbfpqG#S%v4Ty!< z3j!6cOht8ggdR&jDLv}!XBXH)-xK|`TPUo)byU4OaB1kJ;8S4ESU zS2PuyzaK{FI@0>4_NAZp*fRKzJ(w4)$+wO*AYwMnirQria~0K)U#}}J7KT5mc{oM$+NBovTS~Yu(+N znLlbsdAve*KKhJ?=f;qRB0{I*tU zGMUiK-8IY(6kpL0n$!$<_Do&#RMXmAQCQ*l;B%fl)gL<2oF1z+FMEf2YW(Bu%k)>- z&|-3T>-Z#A>(nV>R(#^|FL4HyS-Zre)o!X}kw0mQX9cL9TFW z^Sr00njRq{`BU4DH2Kfo1$6TTWN*j@u`Fhqp|QqP`DhF&1)`C16ws2LJc`S=xM>J} z=7$=p^HI8A(cf7GOys9XmQ_B&!@s`pF{o1?Yr<2>HVE*$a?ciKYHxA?0-P4{-ri;3 zscKl&vY07*w%S(E6l)-?;N9G&mlvysAUL$vZQ=6+Syn6+{t zzW9E`&PECbgDK*2xsx~I_pL)5zyU1&FThNS118WPUl|%DU@1gi5GUo5NixKOw+4dK zGcs)QBG%%#&sX2y&&B=}m~$1~XagsE285&8Z{+NYp6XqNw;+LZTH(XB!{k}z zTlCblG-18e`7!v7D_yps<%_mSs^X@B>H&s*9l{Z3e1?XGYOSM~Oudkhwt|B(Q-;Nm z$WBkYLBarXP=c!zZUXisq>I-YiiUq3mk^pvQ{~pqy_Hld4ME6cp=S zDJa&pP;bQF$e;fsjsKH!Iic^O<6!CHX5wT)p<&{3)!xCy-o}*knuU|Ijl&gj;UmHl zf}GYaE?1qUMMN(Dzb_DWaIzBN*vE}`q@cN~YT!&kvDJk9Z(W95x(&rT3W}3T^1AME z<4;@-bvu5%D;HP1YaZ> z4F=mHcbfW)33U6+zx-S}BwKOJ`LlC83ymMA*70>zEdTr0J0G^Ga-sk4&&St!q#w^b zkm$RfmXG{vfu2um^nd?J{#>?!HlpPJ{s@1b@Liw!;{SOm->;*I|NnpW_*nP$U!DpK zlw920C)LyxG&Ms_tM2b*3Ru0ISH>kI6r7uTFhXtL_U+quvazlH;M(@!RBvBjKuC!4 zsZ*OzojUdERat4mEA31kK|#7q-TQfYqL!AHYlW&*{Y;s&%%m{#B-e zLPAYnzpl2M^XIk>FvhA^XX>O6cNU9BMMbd)osY=3sMmh$?%43@lTAz7mVfiVx%cfG zFpd;Ic<_P8%;1@9Xb>f6QfmVZ}9y2b3WY+hPlx;GyLN1d-v9|oOpS7a$U#Hc`uFZr`;i}9>BDZ z??R#A;NW0{puxkgQcvf_X^RN8fpP(>bsc?UWA)DsUS?b@l~z_(j^Ni(F1@DvOgA8a zdH?k4%0Hj8%6Amr-`TulxG7~*Rp5@A4?$B;aKK(>mP(RoA*RNk|#fHg#T{*==-wW)5*rk|!e0&7-UZ@ANN#+(5 zRDJpKAR>ar>&6X_l_kj+FJ8nve*DsV<@(ax*k8G0lDzx&iF(f4A9CmldhtRSzmlwQ zhZaxHl&7z5ZqBo3&mNiUv;LElSHHh@Xe_+^BR4;PDWO*1*V6s^bus&I2lvRhAIFke ze@R?7KR+K68@o5Uo`#zGSH-=p_(kee?b;w#@vBZw3VM2feRxwisqKFh2FHq9J&cJ_ z{aNCgshvt|Q6F_eMdco1=k43K?(^fU7cXA?_T$G(yLMqVN!wYu@H~o7{#dK;uWZJ< zN_QzLDzY8E5_Id*mdyMa9KalRb*&Vyw*jPgizyEc#fs32Tiy z-PF!BuZ!S+Zd@LZy%WDaYi)n|vUsU1V*KYDH|Kxzm%UdPt>%CK_$$|8eN0AX_)F4; z_wV1+?U9KQHYzcf&g*xQ5*8M=?|RFcsaqGut%4U+$O)URd*rwxbVuDiv>Qhn9I zDc&nf{#C5IzW4R@Nx6=)+@s%3_Svw^D^@#IZKY2Phv3T_H-{HSZ6hArY z_ATFHGX>tKH$B07sm6kZa^3#@`?rf+R4=e?+bM2IM^8^5dy#{Q=>v{e@wMM<_?1B% zneONR7F4)-dGB8NS<=(ntMK>FPu7E%C~y>6FCL&?@6h$uq$N$mYk47T+ktZjT}NBj z0^+P1<1K!@yNLuQcBS(O+adcHn~$fEVun6HG3ze7fg^hNfZmHsW@a;?_4R3cB zE^~y7N=e1yC6h~Yc5!iW8G1SK%76J;XzAIHyu-sgy11C*1J+`KsI05sxJ_6$Kc&IK zTl9Rm!*-#|)XdD_l{Mo;S83m9Tb6{~*Kv->nb+OkeW7xzmn!`kkt9S~6hC)+EKKeV z+%A-iO~#J09y?a*qx*S%KCi57Jk~!TltV86();z#^m1M_-Eb<7!)iOt4xfn%PYZ-A=YDV-OuN^pUZQ5!% z*bw{5pA0aJ`wqPYIVi4 ztK3Jk_Tj!YMybso_qe&a;TwI{lv}C9w~**6YNpw;#p1(l8r|&kk-H9GSvHHxMOw`_ ztD#?A=-VoA_E|*Vzfg9m4@g2qE+g9S<$H~J_U*fal}XVRFnDRX1xc~4X~o9Irs0uf zpsz1QXJ@BaL1BNSPWtJlEIkok^_b&$QfIHVvG$zB->@dzH*xl70T z0UxLT`ifE1o}7kn#m@UTZQaw4Jwkq-<#?bq;FOJAg#b3~dh4Oe^N{@~2cGga4Kp%g zFSc8%Om065pDP<@crEpoE&C)SB9K(hlzZR6Vug=QT^s-QeyXpg*lB=vpgua?x+!_l z>3mQ?z+PeDkn9Vu^KIJ%5GE0+N4XB529v6VbY(gAHG6n$Oy`w#)B3;P)+po|$Xnx~ z6MR-g8NS4mPp3kF$~r4-XIU_y4sxGc-He7KjgT$jU`>AStJAJX?X;oEfQBl!X_8m-{Hf@S~^2GVrpCrY5-wNz@;N+#)wmoCv z*H$t+;J(g-o1Z`6<409PL&Kd%u5u#4KF*n(PSV1mF$Xv(x;`g>QmTLc{Gfp&6Xi`n z5^Zhmop}B~fBuXvG}-Y|?R@LOjOa&Y;0p6^PCfM!IgI@RliYqDp4$Ks;blA{*z@f3lGo?QYai@Y zTouh~4E5K}>_^E)0ep-Pe)e*<(o}S1Y0eC30G~SE@$$LRn{z8`C+@Q(A$yVnfn09O zew~St@jd?Qi08Z@^5+>n#s{iA>_@NBZQdMcSkD(-&x%x!b)@$5RpLrQNqBYT=cA?+ z6*DWV=&`)b3y%&vbmdl*hD|Myy$FdYTBA0q@T;#xR>g{x#z!7>qcFR)MLdY zu5`vQaw~s%Wz*s%`iLb$VsRIKvms6@oUDs^EfZi9SwDPSMQdvWB6F~#E(w+R^_8Dr znws8sbi~py^J?XrpDeWR@Cy#!0zCE4RHxA&=itmsOO5jdwp9RuHs5mho<4n=Zs$RY zRPB=}D>FRY?~r+JXJ+ziJdz-9^ZCh9W)vjfbsKUE3kR{D9^TcVA)M6XKVFBTM2ebL zQX^W2+p=~9?hr{+4rYrGIC~$@F|;Uk%yV7|@od}5hoi3e>5*iyW8X#~fTzH%KuMM! zKJM;Eurz4^-|R=OQtaBbEA8}?I#h~vct5>(7HQw!s=$_96GgQMzW2b3B+e1Z4YA_) z@X>khQ>Oh+9`W&Kd<7_ z+FW+SQ})J^5{gG&US1ErsXF5^;ERj)nCUc(lj0`<5VG62cHkC3&O_el(^Vz z+`^^=qzN!sfqlTAE}58wiLfpmyFPmy%j!OPY4G!tQ>EAEt~xp_=o(mL zr78<t8-Pbh!?oP*hAT`D8e+ z%kS@zNb^|5ZCJG`oXcYODXz9>Xa9|M1@AfxoW}x)O{xiYMsJM|-9+|_=y1JP1qCFC zfc_+Gns4Ks$@f}bUj9~g<0z1t)wf&|`=2ER?=+$|BYiClL>nKuu_TdwzQ7bK9Km-+ zVP)}=q#d?Mqb#lq$k7jxhe$`<-z5Oz+PMB6IqwE6P{z4zHl(FwpS4xvpO53ic%$oM zrJQ+%E)*g|Z}R=|+JT!|p=?DM?^X>+mZ_V`gooIqYeH2MvfB)$DekCS2tw5I(b)^f z2hjsf57Yx?RAT!Ol3K-17IVwjXNMU9!4{`qOCCI!h@*{0sO6Q74p}Oo;Hmj}Qg~k3 zwTF-bj7`j;C#cf})dmaS^xDDr`rkjn0Rc3LPR!|{u^gz75m>xroJ%DC5wvhXx&76_ zyX?Emo&Y;KtuA{6GyBjkJVeDIF!R-`S20K3gaMZICbsPmxu_(#edvNz%B-6Kx;i!q zYl;kob@aQXE3rHzaUnmhJo9x#O2-oqy}P-Ae4rdqLEwrro*GHyi1GZ93l}cn{K#u- zGhx}2&t{zitk|fhr-$`b!ry!=ax{w<9H5FSDW|5UPQ=-)tf_f<gjT2JOO^c4_k8N=uvUE zKb;~hCBwtkXwPSU8{Jpp8Xq4oi*Yc`ivf7bNBcuI85!w_`{b`3e~)=BJV4Bz!I7E& z^YauScN^{QjKK?erd88Ihj>>04*dR|z4{t$Ht8eq)VD)Jw_=G!aufUg04hnFw~=n= zJG^&>c52-YyL;*BR%JQ6N3ImQpzAOwcG`z+Ge-suVv`&VY^F1fgvTeJMy&9;W@#eYGStO6jnW2@m zp8OQsVa%r-A0H1u&fA?I`g?r*LH)qO($cfFPo14{B+jn=K9AF;fm9z58mi~>LW^(s z$7>Pn!P)%>yb9J(TLr+(E!}+gA!5VyhVU+bE z{b_o74ZtDVJzAp@mn4VoGGq1AT2Isv*?F&DHy&nnb#c++W1-x*(L1lm&-P}#gbkC= z^34pSCN$>9C3oa|Mvwfp zycZV6xNhCL(J5J=-O?;*ZtJ3iPI-CBpsGAYg;Yr$A>OkBb^oYt!9jOmvi9#xVX4t4m<22 z4|L)671q0Mm6er=IXMYEZyIcaKLQAlj0Ie|(#uI95cpgn=@POOscwJ`T-58CdDS^( zWa9RniZWklNKE8BZsEH8&#E}Ask4(Eo%4qeAH?3eeSK~~xCr#52W^^p(0sGXxL*y4 zpW>cE^+%fIGb}oY44#Y%s2(rF8mm6v)_qt;W;w7xu|=}iS+;!tF;Ol~&R+-Gy-=J$ z7iiz(Gb*}z6J%`U3C|771855wQ{b)qHw#^4Ca9x~*|(8iBW1Y4e4S z+VK7SdN0@|?Y=ILA}!1}71-&0PLK;tP2Gp>?FCn`lZ~wz7?-Xu8ljhdWnC0=mB0a3 zxf@HBr~o5BUQg%+Fyd79wHx~k0Bw&ldw|aY&(O5cA;$!;tZ!hjH%!$(G&KGC+^BI; zyPVHfM@PrFW1dmuSU=a#6Rgqj+1fGn>-`3_0Br`AK0Xt)cNBK-H^?(R0sf}#gnWy5 z*{XMAib|+|NJtv`nnf=3J_Bf-B^0B{t!!Y*C9G}+dZMzIZq25`_+ zPsJuBE=DkTx9{GyT-p<|`{>bsYP01J#zI@+Ef%M1+S&qfM;j3 zn9vi{gmSDCi)^Z?*|cNF4rGwY$fJUX#ptne$b$IA*vvplQPD8K*yPmIJBGp{{$mZ4 zXtNJr0ni*z1T}{~tqA}~UC0q%jayPO5^XM55`C9J>2*n*z*KEFg=gp77sQ$D-db;)}8U# zv11Af3KjFn5XCUA6F56ndgn4x zekK>D%tpUvKkhqp1gB(iv|C$8r=#3Qj<8{_V_%KEq9P(d1`QyYs`4=5Q>bZZ*6F@j zhwnJ$TCS#={8Gp@=w4iru!LsCR9|T}DxpL+7%-|1%>E-v3!9JriN6To9K#FQqCBZS2 z;M4o-*JRb3Kh3F|or>8};6O;+;-tnJPtA_#9Jk1vo19E^?5jpuT-eMiZ}D5!?GHP8 z{?B6bnmVi?k&axS<=ZXok_d~g{S2m~4fWcB%R~Iwd>{OB#CwqfUTwEN@{(M#WWBAe!KC>3J!lBQfdnDB`dF}l5Ui-GIamEr1!Sg*a=tSnMCKW_$y_46;oUs7rG0-g-Er`_1_Cc%--Y1E>d^uD4R? za+i9K;p3SZ7#{rQO0MM!M{AI-nPC01WNt_Mzon(=8V(-@CMKM{ZNpuqZ%Q02ZEXc) zWo1#$?t-px8ve4kI%M}L#BLj{JPrV9h-+(W4S0vFOBgm%Q6*((Ymjr{)RCH^#h06# z`wMuQ>LXyUj>OHX>FT0I za`vPkW{OHmOf4;=lKkRZJ|Ue4gZ=k%G}h8$K+*5VyMsb#etMD_80z5R!+Q5Tz_~ik zj~kqhJ0g!Ji1exF_o9Mq2fTXl-~nCs0jbEQ`uacsHrubyV+Ts15_Fb&?m)*ceQi7@ z#mXxOX(jATiZUZRyE;m0rqP>2$RR;{jy)oLx|f$bLJnww08;h1BU6F%j-+Ss+=wsd zd^Uf0!nq#QJDx7{Z&`o8IU3Xt*k3eVXid&`wdm?Lz0TPX3ZdW|?Wb8;f{D9JSue`~3Mc z7{6`4D9w&NAE-{p%fwm@>? z#hC}Ce;en8v^Fm;mOi^;zqaVbO!*)DaO_hCfFZ>U4Jn20l_ZE4`RE=DU8xr1kXM%e zPBa4465)yhh~8vzdVodPFa`iX2TGLs=1NfOR|gwd!T2T$JBD`+UKwr8e43h?hbWM# zrOvf!;l;*R0|AR=zw!9fDWw)I{0T6F@8a7dLyZZIGtO)EV3VptIT}$TGmXn-i5k@1 z%^}ZV-Su`+Z<8OWPQos({QFCUGLV5P7cM+rSa1i*sLCl{twRSf%@Yo#0X#WGvS0oE zlo^I|$VR;29?1qmcT*2MRX^Z_KDh=x=mWJ>96;k6*56PBAr*b%4 z!VMVt>6Pd^beYt&v|LE9=o=WAnZvm^d~!=zDe?S!mgH+`h3=k)R8Al$&n>R4SGhyt4lG;sp`V^ec87f5pew7!v%TF|?(G9FH8 zXmt!(A`j?UBF@3%`0hS>E!Stw`}oZ_%(D3c0RjBk8E)e9mZ{N<@F0*_0ZlZ4ib?}o=N!Qe~lEG%i zK7Gm~eDQ6}{#fWNfI;b?bR&d~*yI`TC>!t>R^#9D$bmR@hhA5*9~8LbwQGYUe?2+6 zBUb%xS(z+icK|J!N62MoSJ$c^KaSS31%jeRT})0+<})r^-YVA(dJJHM3iXW$L3w61 z+C^7QDCOVP)C^@U@-hWvfLg{isB z)_qI?CC_}bvh3pH7mZaIDA6t=(;tnIb`>DS5sN)MJpAj=pZKIZ?R9ncK{fRb4}S!{ zxO(lHa+201dwX?g5u|NLJ@9x~UsZJnT|+_E8dep6fQp-&dw#q_5h?lQ_;vus6KME4 z-nfaJeWq&yoR7rB?u*akimr#SpdN3oD-em37lCYV-Z27*zj^D{t>eFcqepCX3|ex_ zZY@Pg0%O@y>}=)z@AqLO0?08mJA@4{;d2aDAE4C)tG^rB0ZbQ&Ux2B7Ag3(AM13^R zH>{1gc%Tj)#j$muI-g&=HBecXnwnabYf`aO+Jz6jYYzx?e@h61jV8MJp-v6d#+z# zyG`*fU2XnvZPayxGA}7mF{Iu>|0MhcPCy4aHfdsq39^8ABL%NqT#Gle$x5pykI&3v}Rzh6_(LEY`3SJLT=yv_GZEbB; zO-*5dEa!4AYJdnqxP2UOvTTSuVQ+6AV&UZIXfpJ|Xn5DoOXlXc-@G}B4e5h!Tj!|d zA&rVoss_7^`vbYPWoD$b*kUQ*{9kA}rS@nFL{9%(UQ|+6)-Ln%P*79^mRTG9iwu(c z`n6t7u|Q;<&nwaS*Pn5Mq|kH#c4~9%MC<-$;-w-Flc?9iRWQf;Z{0)`@4F}3oRMuRQY8Y2T{4oS**HsWLAR$_3 z%-?^wQ!IUH0;~tX)O{9y1wd9v8^-+p0O62R=1S6a1$>6*grKf>d;bfDV3QgCno>Ry zBs<#t|g;?dQo zI4yBf&I|!c=->T*{knwIgyYl@CwV~cZXoJ+R-hqLQ4D?p`Jk*wnSm0oXv?b{+4s~* zdZ_G2ObH-lOX1}U|1nTgPNS{-oj-rZ9`n3b=#!C=!H4qm5&iz;^z>44(F=W*9jSuB z#42Dns2=>ijR)Qp_bH}5a;wY%@$2rlLaz!`;==LE`uwg=aQD9n=sNI^pzsZ%=P-`r zsxlQF9#%NdhBNt8GeMSZW%A-%_nR}xRh9dBx%m3|<7;9u@GftWfMJTQ=1CE#-alM>sPOyqF02hAf*zR4;llj zR|A0!U-QOPtWr0{2{kc%DNDd7Hc6GO^z@cZy;T7D+z(Z?>Q>7?7Qnv(3{SXWybV}U zTA~{OO;enex(|jW54MnC^R+HwRng9j09NN_3Q*P1ut3)Us+jjj$vI$6B(}`^`Pk_nhEgoTc5RyKkarN z7YyTksLE$=dcVc6hVInb@@`}}7)ZVq+wI`mZFF0L|ASSD5>^phF)hGWKOi-j@l3OD zRPOra#TlB-o9oX+M^Bu~9D~^jM2!Wgcx3D5=4MrOb=?{ni@Ul47Jzrq0oPx?d>Nh{ zbu=C%gE9r&Mr6y#$P{^u9io|X#QQeo7|WsU@{f(}(Cga=#Jn_X0|h|+{38}-9i2yq z?e3PAmM)#3qM`zPAyAjpR8N^fnL8*8hmuHFc~9}@54!W6fN zaT)0>V;((fMjH*#N|!Mj`6*U>6Ltg1(`lh_^&i|CEX`U-DtI32S zIY2*-?qHD82!J?SeU_E%O{YeUp_ z?O;cU&ar#XE{JlhiA}${+#V7Sdf=Od8psupbZFb5s8X5++*aPQ>rASe#Toi?dMFSS6tq*$ zTSn;otB)?XG&MAkD-WP_Yyf8)g|cBn@ehZFY&(JCaAFzHdaoQsO<|XEx{U^hlPTa! zOMAMXBGvQfYAcb=yKg?eck~P+BluUfX#NVB{rm9@k4L&~K)4%1C;)htb{T$$&_)g7 zm5^XLeE7B3$k`?16fgn{3k$iHpV*F{Wxj&$5jw4;&VZpnWWIG17jPue%?TiP62Io= zW(5#&``(=-Y>lnWNh(iIS1D>aAD_;jonfgbp*#IwBZ%da7t$plyqgZ z`RJw5YuEWvZAP9}yZaZ%35mJ`HXOJygE-{kkrpkN+(Ltb%&Y1mWqju80Lb^6F|)Ie z^DpX2`J-lZcK!?q43KA_Bo5fSTRBdnF%pmb0WA}v^W=C3)WqTU3sZgN+AQeZz&&j* zD=V9w=uQA(V!_s)r7Peu`DsuDT z2j?&qd~a-2!%21Zr(mDKf}nG4g!$l0`+tNeHlL?OjiOte9C$EiwvBq%lX^fLLBh#V zpYU9o<=?zr@c2YdxhGDe*v~a6SKuhhmlD%cvH~wJPJfFK3JeLMhpggt^)Kg%IKZ@6Ki# zS~~bTE?s=Zw+$Z@skSd+dBxGqP36(E=FLm1%i=gp&S}{!Ek`q9AcDuXvNC{q1O`o% zrBuKOsVl7WMgpz`+QNhg{p<_UDJ*^9H$F5rhT=R}xog510vm)1vN{piSX)=6&@~gM zA&`?|t&=K?m{Pt3rO;)T@7MhmyfO_+H_i-7S(F@Hd4l{6Lm|$jB{GAtzBzc#_W;Mk zKi?b%LDb;lymAy!*b1!!PhBM6C&4B)4a#*a*EdoJIQsXdEMERDfdlg(RXggz17Cf? zY9t2`Ccq{qAWpbrq3zmVoK5KUmT3MtgpE5P5XlA8?DTXpUc!1&1XO~!6+NK@QR{5& zPF>@RR14vdd$E-C_yX70HkG(2KTf8kFX9SJtV%r!%7Vrvx@Lhk0OWRGpA$0*ye&hU ztAvkPzee(Iczk#w%QTmCr|%8-?|&=ntz=^ptn?^Ib+1Zhb|4euZSQ1s*C1I%TRv^m zy_Y^qcM#SiJpMrm2_@ce;<7uPAe$W~)4dB`kO8m(qZBhJlYX~u!TeI&`nwcvMX&)C ziSoCg#y_YQ)`D&_ctn~ja+p)>z}^0w0>u|rzI=PPpLCK5aUS$Kb4&05N;hmkq`ade zo%!KVp4lFU_kjph&n7ZUMk6I@(qGG3BY>=WJ3)vhzJs8BI%1FKC#{ z`QyA+|Dsx({HZhlpZ`ZViQqY4`46bzVh*NK4xu zpVeh4gn2TsD+FHK@%3A1XnJ0=ic{0moZvgN{iN+f+uvWBbneLCq51;&1W=PU#eUk@ z3U!cly(Nkv&~o4VQ7tbHB{al{_GKwk#G-8lthV~}z2MS$%DkJ5rZ)MuyT2Y*U}yEq zdqH0xC0r}kvQ2kJ1GZ{5wmKkFLgWDc5~lU7_saRcogFS^^%;$`$E#i3hOsbFK!IhuZ}JI;{u{i>)^gO2E_`jz&cS@YkL`d< z;`B?{P9Grxrv6QoXZ2-)X>LSC8Ugo!MBSpFv>^ljma+D1MNJ;g<~EfsJDKUOKE}Eu z$L)DG4>qPFFgwn7kjO_oWx|vXd}0L;jEwhk3~>HfrFDf+O)N`2#m;Ia0hk5n(<2|)3)?k+n9 zyro-H2XuPSXVr^zu7&oo)gUJQezZTos8O765mu>^GAzdKkr2SQ%k}mo1u^iUEad;> zG%ol41f2lUn1siLS1$^g`$I*=%U2~n6KJ5Hb*rE?2kKJM(>ttl=MOq&1m8XIz+zCK zf)6WdZCf@fzp`6;TH>}s+GxS8-mecBDjrq^N}d}&zU^gusizxpo4{#B43(2>k?S5l zd3Hg4#B1lKsqxMXDeDiJe+N3)@_#S?vhESqk;ABxqYowsC9-Il6m>3g0H0Pe{ z-z+GQY)p`=X=<9fr#pOHvU_%JP825%ZY;-MCCFiMnF>2#e#H`J8ocBMgD>@L;v8l* z3hlouWist!*k6@0d`P?CTI=O4ChJJago-j?O|J)MFBk;|7M4n2^tLr`U}hrFqIyZ- zF(mH+Gv9CNEM{O1X-=zK%c)?xO!unNUcX%U!X5fctILZ-C%m zNE~+Cd=o|t2q4^W?4tb#?`TkH&kB;nAWg~Y4pu^Ezozn}_l7bKPFc35@UhwP4xQa} zaoZpT5nC<9#H`42(r94|n3$Q{T%UR?!JCOz5FEQN5IR1LbCyF1=g! zm|;lgdDpTlQJ1UCbK_&DL;tm|8S+6B)S;9uCDMt>xTxV~OYca5|w} zqA|Jlr!ycs`|{m(*mv^LA-e|YUjbKR)%i_yvWJz@`}XivC6Pa3i9S9=56=?)QDCP6 zjjyA~ksA&cNUFEMaUFyz7aU$COTMbf2TIJ;FmxZ=;>WbdSn*U;9ll|{MkgcXO;9Ds zT&breV5K65(%QymTf^a0CX5uIwSrG28D_p%;H8!8JWMp8`)b3c_U=ZjFt{eW^^84F zQ5RJ)-PF$(-Dlc&_A1`(A3gf*+qZ+>%kD%j3E!_tO-E;reuJmIwS@r!po19#^2-7Wzfj7FN&6-=W zmxSWdczno$E$gWkA5q9Je}7eb$V~76Vn0^Kaedt-}E8hb# zo>)aYOI(TH9H!1k>0Zk;(X%b}|ZLke`^~k>K+7la>p0V=(l%>C^9LV;bS*69#9>Z+$OxO`%YQ`ge^bS? z$EHsmAFzFypKl5i#OReB9;v`T{#5HOc2<0TFQ4*I5K9Mx08C~#>4vOA_Z$OP+_v>X zPdU&T+-XeU)jKN$sPZK1h3=tVz3Bh8`%AW6w9Fgs;NV~zbVH~P zRgI0{2(Los=GQ4?FX}qMwcV~Y>nv|Lp<583nfiIXdI@f$tu$J9G?x9J)@(FJ*9Bh4 zeB??w9JHX<4bH`Wi9m=YMWk_g&-k)Q+70qa2yizWt)a;G0`7wK;@7+A--uH3RPo<6 z|IYZNAnLT}yUq&$Y(zy<{F#C#Mi;$#%}J)oCjzdC+GI(q@#8l6FxDx|(16xW4x2c7 z6dCr@qeJrS92%u1t`gc&`Gg<9&=}N+n3Qi>&oOAThbe$^ug0^f7@yU}{b;uvBz6@+ zGpVeq%DiB>VomJJXw%^lj2r2u*46lIA!blkTA!xzC{g`%;)A@CQKDXtxR?USNDlHt z>$9^5>L-%LbtmP&8?u(vmE2{G(?rhxv1l96p2Bu2DiVdKC&sg zX08Humm#o9HTBViPe&7cuaq{l(j_Hq9;aZrfND8}-1wpIu*Y118<_MdyjJ~THo-BAd0a2g#R)*8%V4&_}p2jVjYP8sMP z$6D+_hItQn<$$V9z1s7kqk6rEhX)wah^&~TAk_rs`T1*$=hUh(5m#&&pHm(PaIC7t z6#h$r;~@C7Y!!q`~ulwB-RlpkmRk2exxVjnUdh{71p zRz+u{P+|`@vHo?)7Bss4j8}6TS3O|^$YMU3pKtlSqhlpEst2TiYr^z%rZg5>Dh}AI z+Y3^319}&w@6FB5>N-Z7I>rn6j6AKkG&2jo>>j~M4R}FoWo7lf@bcq<7)*R&(o9q( zAH0as^(iAjBQXD`!H=Z1W7!7y|NNc+F$i2gXCLQ-D%Ri!MwlTldI( zbjlwc8Nn>ha>cwd9X0j4ckg_`bxlJ@QqKv5f2pBCu$$$ev$Hem-wBCf+hl&Y^A=_A zefspNEqfrJ8}dB*UduP{AIHY7w`f9JtV#|zt6GfIsi zu!SPmA>%8d<*f>g{?*eH)>E)}th-sfc{M;Pu6#ygvC2oh59#9B#oY3>`0U<)Df8Y> zU|=PIi%g);!v6sZJ8b)=fH7-ZW<0(5raj)ydc+x9OLv19B{Dd;tNOz6*3j?&=HMfk z{rw{vT#XK9yD(v@pXX$8cdSBAvU}Q79Z{V#qrpHK!S=iYoi{P8BS%(&La9u=+#{@UF9(AU@3D;%u>Wq{Jd9JA`0 znhpI$Mylr)7XPK_^5xqzfyG0PWV7(9s;q?l=z+uFxI^r$eJLy#X7FBuWhPV-{7{&A z;5;i3E8!sq__}P{ll$rwkA#FoH4I9p;dde;i)w_?F+1l6)jCpOQriK=2aWoAA zDx@y9U{)5ES;dCKTCQz7!KL5?*I=dst4^$B3Vyd3M@I87X$HHUQf1Znrwx4a|Xw@UO#H8Fuc>_;Yl*lnA~kb{Rna zAYakL+(OF+_{ORvU1C`7{X{Ax#MmH=vGQ_G!IXDY*ajlontZbAU zbJfRVG6g)SHD{}(?spHazp(VPJP6}9nCHTdg+F+39G?Bw6IZjdv%wZs!l;FDyh#Yg z%Au@^(U>v-J}uc2g|S{3RA4F_lG??ndvj7P;LwDe*T)(C#HA3>R1gMw1_zaq52s}; z?d=77l9GJYx`NcG!RdOht+>IAlyau8cb4sRtgF_-MNF6wlZrc%mxDtn`T`)rRQX#Q zK~(i%@;fkE#A9`w6^(B1Xo21A%AytUedcJUokOUha1Fd26@qW#9Q8 z9Gq5zWEA>mWwEcXIAfldcqC!wSr|!A0DqVYLVkF3w0CeYD%;{XGvwE>v}X}gnwpxy zU+<2qCRhQ`Jbn7K|CC=W!d5Nsw%dfb@jWnWfnd~upTAoFc5`-4A!BP%7_o!phD>t8 z?t~qO-H{dm*96@PB<@Vlgzh4ba4XFOG0fP&@T7?~Czft#WS*Y?ye=FCSCWz=Vk&eQ zGnYZ%R1bWz7^DF8fcv5rLi31q=Hi34CZW(rU1W1x9d<4CcSen^(YW!6la~!)*$Xa z{XB?ah&Es%<)f-tBqK*~uBdIaFP2|Fp{lAHmAX*^AZ9Bi71fzn)@NYxs>58}^te-r z_lh(T`cx}%0L8O6x1rOgdz@!g3FhPK)vF(KYnT7}a#9m-J7A+Wre_MT{Jj6<$!_Rc zP_Q!tse!N)Fn3F+D;O3%dPeJJtQz^uP5o|_9;?Cy2bcv$ue+GsYJ|yLh}niw)dV9L zD(}Y_Cl02Wy?q0U0-BiyXMQ?(Th_}iu6yPoW?Jc=bLb4nS`Z3l8Ct!Dz$XfrctdMC~WsRhZZ%IxoJLovt6x0bq29{l_1q_WT|QNJ!|``$~^* z1WzdS)~)TTNi$PZ?<*?$-uy9zkfi}89)tgvpe7(Nso=8(hhfv25w^(=p* z?M8p93@KIOS>VvbL?eteuoD`V?W6Fr1F=VDvk8X}1W6_j}mt{xXYHn`r89yUnZHI6IPnb~s;MAH0IzJ*rW|B!X zw}~`#>BO~1jv@M$oEL{NHV7pL(+ zTLDW3^RZ{V`M+~hb91RE%pc9gKw+E&XF%?WfCU5H|GxuOdR$>&pmTqYlhwF&cgxuq zDw+O|bL1w4IVl-1o;W2_%R{}MjO*e$4)XOtbe|2KlX(D;Q>&A%Wjpr3594Tm7}(k4 z(nW8;*bDy{I8Sm}#OPNu&|9s~4Z;CEW`>)%H*Vddj!2gjiy+QxP&^3i$7UX@;c7oY z>MYJQ$`SeqGRFzta3J7H_{j2K1qD=@lF=&&1bf9OEmD_0dWNcW{MqqV=9m=7o);F= z$o^PzGP`N)vl5AfLafUmO~S`SCpwEOuvS_UBYyd7x_kyvcymU$EyqONU}(kUB%GX< z)j_PIg<1&*USXsdou934K5#_FKkmT-vA?hDkh}CtT=?OjGC{|PREdKPk*(pYm;ro* zU$cz@ubrp$3y`{hv5(O^{IB!i%_nD9hNg&9vmukWTnp$+u@ zOBbjt$}{=wUiXvaC(!o`9&-%Cu)<=CbeoRthxEM|s2>OWk#gvs>@#OfeUX*C+e?ih zVUBc{%MmL)m_1Y(sE1_y7M(ziG%Zl%h zq&)--Icf*}h!}U#d$$fVEcMqigAI5OJ*up}D+l)$AXp5H{(h;eqs4tU&_zfzrWJ6> zyT)9-SoFa1(_`)sYNe)WD;7CT1x(TGKOOf=anFYb@a%uarV!6CHZBc4?Q?L`El*W6 z2%`saiuzbh^7v6Id6j6Ks6lBOMOgQMXW<`+Idqu~O(Pd3uCR^-wV^&&fgsg~Q4j!? z&7%XQwWGxKzy>JFkjSK>Mk70O#R50_83}l85<=Gm2J-P&hyh4h55UOEIhNGF1 z@X%f^YCkWEZx~wzYfzV`4q6X6h--Ubn|wLO(X8$4P*Ii*socF6CT}7PxR?U>&N5ft z=Dr^a4M@!Gk0GkGlMM0Hl8Z!W@2rQOJUcrZgCSM$QkPJnM!QmB=6nC~Bi|1vijm8w zi4u;5lf2fp8jU)2ssCeGE2<`jv?!i^8iw`(*sQesaqPBj0=k!GGtNx@5p^%W`9+hj z1@K? zP`I4{>5t4JQglRVom5qQ*VM!at^X@Fx^IG-lc{WKFaT00ILmGL!s|EOa-aGTiFX2a z`G_14d&H3o_db!~NgNl84j;HEkp3!=x!eI)b{IS{&D#n28No*y8#p7HRkOS?Ujrxq zUQ|241(KcZ?JqA5|JDH6NkdDkfOsWT^`niO{oVl<>A$%q1VRw9x_6JZxR@AzZfaps zh3_qS-vrlPk^5rUrCt01hk7R_Lg8LQ5%(3?a|uL)g#9(hea})Mcluk1BfU&OXA3t_slmuD-I0#l4Jh*X*R3oieNLU3BM*x@>(YLZMrjmWLcGGn+R4fawcB_)i--$V@urlvzt zCnJt5BC{CMAouF%>PARcOYFu!u#PYWRzdDlOrah3$$aw%)ui!k$boxu|dG!4`$|vdeJPK4?I9Mz=eSYFtx-0{$RQoBj~LknGzm7ssnsF zg2aI$c297s!O{y{hK#$NZth4*omx;(`AOOBKHG;`GFQr#(ue#gA!4OC^v1g+I8M(=<{w8 z`v`QKn=$s!V;5*C_$0gky1uwAapUdEb1FrL71 zN-zp$^WJ~{90FKNNWKE6XhtG)806oEwg_21e9XPg;asLCAR-K`#V#XE6z2z{KGL1_ zv3K;6s2e^AJY9oOBm6c%4(S-+LAJ6Mot~Ssz(T@XX<}h<0w5W<6l4_%Ul?D}LG~e? zL-2>kY@|Jh13cpAt7qU1=tXFe11_}NsNY7r^7=-;%{!=$DXN}2!Nh!*ON#OG?%n1# zHpHL_+7iB`$ecqwcp8+-BiF`vB29wJAX+{+rnGapWEyOKeh^$GQt7&9UG6_iT2eTNuQ1-Y&RnD^A(Kz%g-#03k5 z1@H&D)CusH&ht*?@(5ls9{uL;pM8>2te171&8xR_h8=g3=^efrkuUMQK9XBTf(6%J z3GNE5!HoeX6&nE(Zo(6XEQ4vhi@WzQ?Aa4?@7^Y$iv5z3+jMkvNQ(^FOuTa^Hy2kC z=y6Q3pGabPP~Xg8V{^;k45cEomcWBbd?=Rc7b*cf;b1n1;{&{X{Z;xmB_&SqpU2DIPy<0%vXUx(R$SIHFTE zk0ftz+>~N*>2`A`Q)-m3s*bLmiW-yU_U*%Cqs_3bi}c!|)iTY~Uva}gKbcs7?g5tp zx&H)1d#FbnVg3ZuJq2GL!UkY$FRt3@c)1@_3AMRzPJ$Xoqt**UIp&g|jW*M)@BMH> z>ru=GE+raKD8Y%k$(SXCX?Pf+M*82Y^eQJ#IKn|dni^e!l`J>MQ_!+8V+hELD*}AM zcHn5~7>mQlhxy#tp1mzFGa<^Hrg~41T;$}GtedG#vM5IIevOaQW#p&oJ=Z6;QqjYQ zA$y0x2IwVuuO%`bJjpavKH}89Hqn*cq`a2x41=<_ajtK>h%wjKrW58@0u&kB@ejy&F_DBMQv@P=)~0EGBya3OKlGZrsHU;*LOyVQ*GBMAAnEs^0^z(3fE6x9I z8F6}a?~>up6OkJ)UD)EXdhS`zAdOn8k|VrCq=Uc(J7hQtU9R!vOVPqcrr1k-IX`lL z587Py{dUmA$ixX0M$Eh6egkBk6zmhuEAC&Inw;cB1r@ryyFXtdH;X=UOtDFOal&| z#DoHF-r?E5AEV{Ba&kmqa7NmCiME+N{en**xn}QX`Kp?sHtl`2xkQD_2bX?qJ)cS8 zqj|M-LytU$n&U9qWA5$?uPz3kr9d}|B6i_Q3Af247h~e5M{fqX(ewi)mA2`lCmW;u44diTI$@1A>Fe;1>vx{>@okDA5No z%?F4*>f^aMy$@EAAzWYtVeJeqy2R&z8q8fv92gmaNt+gNXb$t|qIOhYH*uNC%B?j# zZg*f9w>v&?{nDAx+fo$){YH23I73kA-6xC2ooA2&b6%Xs+VN-88LLf?adfk*x{ zY7fjo4r$qO;9tNmLDP=`?1H}m!#LkMIv}<@7p^DwJ;FrA!*uH=V;!4Dl9%L{l?(2H zf?H(E6lX_eE0v##o7G1ixQCS_KJ5S5jInKC0#VC>ib(ntJNp^eTS&qFgs%X5Hk1-D zf{Ea^U}Ql5eG7US0*o+}NNYYOv0X2%wqo~sfG0-_x_O7SOTq+3P)4Fql#%cr*ZsVIJfF{V zcX#vqeaCs7=dsR{*E%q&5w$n)-RkSh%($p9el2`iA&}=Q?aU%*9g$Hw}XQ|V+ka!3Dts__n~ezACWPK zq7L2e#w1N;v@DQ#>hBympqH^}!OTom-hVj9T=%8S^7>2#`j0Y^S1ec$_}FV38ZzRF z;AlnMD-l5O^Yh~hs-D@)bp)4?IR3!Up$A=$gA0lt=ruE}nqzTYdw`o!>l`Hh+lGc) zcqupJQ#fJv0?ki_zf0V+cup68PwXJ)IgFR6UV)JH6ZNXM%+;4EbvyQe`^Ade=ebmfUcs;Qx+nv!)n8y_Md~K%e%IT0 z5(9uPp!o6Q`}kJKf+2s6${lQrSeYWk3oI~C;bh&AD{*W3v`|M;C_UC@PbEEZci0($l z#sW)A#i1x5Qk>_-I;}XGE@d?O9hK&~dPC7<(JbNV809h}+Pnkc${!YZHxJo3N7w;PGDz3syoD0zX z;;6g%h-Mb(hXqP4X;^SrtVb81i5`RaV*#Uo#R!C47G_Yh&`&EP-!>QKe?WpK*KAh5 zV@mHVF%mSd_PLqiav|O#wQs@8Ylr`J`iXD;wY+#TvvK1lqk0bLg2A(blK{b4dLy+x zI9&Uh&)_NLl9Xfy;g8@?LJz#T_l)m=#)&X<-6o0U_18afRe5ZlQwYpG`$!lV337$D zVgLa&baiPqTZUe=pfj=q^YuBXv`J(HIu%Hdvx?SCip-=@ROEmj)s#F%NMskZP=FN* zr^mg}u^`H(14l54=Eau-h{q^ThsUP@sd^ATcVm8#@t96=a-6N<&n7B)yp8LV-2+44 zF|ve*+&FiZ@*m|k7Tbxs#tO)A^&GFyBDthDSC3?ZAt7#bQDrww0(d{*`mhFKjkgOJ z0|zf4)m?hxB8oM}yVRU=z7CRMSp|zbBq-QqDKfz8B*U zBf>0^d$I?l40!6`(9o9%d%$Rzx6>5m3_#~ARM@2BzCMxGe?@){*HcaQ7X)RPF)ik8 zu^Q{X-THat$m61QRbF)T0gEp$?d~tUi9-dS2R#>Y^a3mb$-~na!ZlHx2w}&MkIzm$ zcP5hS?}weze=G{dHOU@45pjQ0V%X0w{NMYFj2aP)>T(lZ4-o+qvpj1vWxl}#+^a;W zN+!{7sh0;nO-(o@8z|vyD%?T6M;ZQ(mz#s_U+&o>_c zVo+_>qoR_j4(@C~Cr}pNz$}Z#2s+$3U<&92exA9?x{3hA-#_}o<`N&>|0X5%ed8v% z`xPx>51g`+-8{58Ru|#HI9yP;h-cUm(-0zKuc!a8YXNK;f|vkYnH-Q*H`HDBNqTSE zCTJRP@_OyOtd-K`UBh$Fa?QK^j-M=qlqv=-6^NVlU|w%3yQHRZCH|LKhr14R#r9$y zk>0|fk&ZzI=C!>zO$cXLPJ=lo8PE|)NsdrIJeJ^OGxqz}uk(MySp-fgUfISbXU6^X zcu@cK`>)t-dv*%+S$;2f#3-2#B{slR0D3my1}bITnTQ0aCua`nIe>mP=eF=~+7fi% z_6YlhZEQCp_qLR;sAAik7 zXr~E94!Ii9HO6ZW$)H&M6SJjb6yDbU%(}31J$L;p!JVp01%;Y1v3z&k$Nj>npq5yF z4)+!~0Ia-m1)Ar;HW3e_y?uVm>4^N4mp~TvB&XxV18L;AZ#CSbGfl8*F0lrn#js~j zD_R63j4Kr(P7*~y6ihA1pYX)QMCAo<*&$5RM9K|BVscg#{XAgQ7+hZO#BFSKc#^kn zrBdlC_nqH%Pk|=&QQd$RlTOx!8=aTd1uISl>_Le}QAN3UsJrHO`n50^KHrLV2|;*UtJ%;dS3+!73M331Ng6LCSN1)a3=Le_$acG?iy38LC7>?DvndRIgMdLnFGs(@wSekABA#&cs!3Tdaj!oP;5i+ElK!~jy0-cwO=69(e$Z>f-!q6sH+ zGp0c(Q`j&#rXKfwgUn&TZR0p2hpf-=+#rPG{OYk#n~!21zjAIf(#p=HH`wB55e zV0kF`*lpnwdO&I4)uW&cnhdtwg2P-CL;*<_!tXkAWlF)YgjH&^ge}21yu`%grNW6y z(BhyG4F}$~Qeh}=?C#bd*^oIgcK}E$&Nm_n#xw(rBi7l zG!ej+L~KuD4x;wn<9&xHXa)2FQl7KiC^_}7+P7QdDSWnwV1CcX1#e)c#QFOfSQn(= z;yNEA{y(D@KV~3z%N1Nw{X9m%$>@xfP^C>^Z^w{H?$Wn!s*pWH6sT2X-5uwokQWve zbz#kKV-uVG&GOAY)`1&jJ-ylX+%F8vP+%)MQ~L%jCeG7#qhB?($Pv>4=KC5Dy)LD{ z06(Y5TO*Z==U&6IdlhmyWYaXc{Zl3}RZu>{ao#jP2o#VQU@9t9cy5zuFlaN7(eV`t zJtR&E==INMh5fXTU3z%9voGEc-aMq2u$jXr-zucmppgEBpP#+P1@pMM%Lqn^0&1{@ zhPCc}&yIBa%paEDN-~`375iyYRtvNNSr*Qkr4oVxwb2>qsr##`hiDr&;^ZSEF}gl9 z*?_|=@rR(ci8uUonQaU&?hRfpKV#D^0=9H}ITG{iuh%PGU-@J@ugu-`^5e&QxT503 z{b1=V{;Iz}frQQCMG-cy3h%Dr`8JmRHA|67sov{Dt#2A|8nR^}qQ%5Y1)vDb$s>5T z-Jm4LVAK7UW(G4Dda>V0yatWUn8#fOo7pp5KhIl#wb)%U{sQ7gQ z-~xhB+R!tUK9_vnR05fjeqR3Oys$7T#7CS1q>7BqP`uV_I^oIO|ihUT=!0ka_g>qkIh_e7np=z8%&kk^>yg|w76cc-Mm1gDMmc;va zj2=v1v94@+dVNt2=Fgf!He6sV!3aF{=xn;sDQTymlk375RJWOa#zjCQJ7>MtjoS{u z`rVtux=$WJ;z8mxz@GniZY?jMsfI`Fi|^Mze|h4nfH8A+^=&lRzJWpOfMLRI&Etnv z9%gE|y1Ld_w}mKj8g;$1oz4*?T%oGI1z#c z-QiYfVqP~kl2@R}tnwwe8$@A`dhF?mBU!XYM)ik06TLRGbGq#;R1N6PkUIb6%TjW> zos-j}$pSmQqsv#1Yw`VE8#+`wDujU;I{g2_s6V1&^kyGGKR_Z|AZ6f!Ae8X^@Bgix zL<5^2A>Z@l)qUOmyJj)5iUC0gq`T)B=%uArG04T>S80>vZ(?B^{`N5)Sg@tP&%kW8 zUa2_)D*~EZNNPaN#|h=x$IJsPB!)n}7lUguMIz?+MMYAdmvB>_JE`b?rzsro*J`L< zZ`RJIJUC^UF+GopC4H?8yQq67kzGtoY-rrni$9@Fb!Nrh)>akZy+6As;(!oV@dDkY z8sO47t-V@JHHHgoH{e-#t=zz;`0k=Pt#H2ny@CsRedgTCR<_i3^zX_mTegB*Y3j+6 z)`@JQKCy!?!25uGQfl_?_#+oVZxPZ3x={B6kN0hN=f!KBJ?`*x;YOO5O`h@ATMbR4 zq5smHwo&XF9q?XWbD1q*jZo!&3E^(*Qo^U@CpaHS^}y__TXlKD+jG@75K4!5Ue0Gr z%=@-i=vbfae$lxp8zNISn(px;<5T;xPp z0(n2#%Qf0_XDu!~I?*6A~odlV|w-vxP4 zu6-Dcar%DO{;^2on=K{DP7^C(@YAASM(4w_WlNCvwRzvI5%Y%fx<+?Jn;P_22c-Pj z*%5TzH)GH-`r|X81yH$F*8}NED!CapJuF_wLV9Jh?QUW@Q3$QsPCd0qaEg z?rJSlS5hlgtN-fZc2F{aXtwLHsNo@*4q6MYXj?mkyvL3xzf6i*y}q_rCmN#%CLt4K zGC^+9*wz+~(LL{4?W%2VX-0`xqR5%gpG+cJz6XzR9_;LCU0AZY|0s%EHtnlv+uDNk z8xiTA?rusds%85cVBjbuBqa;$GKjo^bRnPxXFfeiqX%LJ*>dt9Z>p6|ypnmt?@C%X zgontf=!l$(=oaU?uFaR77o9w3GjTTEkn^DzHIo&4f6;&ArSvC{=U?$^>Fda{(K{iu~OQOQEOF$`)WJ+tZ%QJ z`{KvW2c)P;@`kAaj*Oq6jxOiL2EUqZKEv{r?D7Z+3xjb^;_R(|IPd|c+Ao|0bPj#m zd5BqA;S_}5i8PzUR}Q8J_)>G?`04<`8#mulrb}*q7WW`u`?1k(t9`dQHEuT1LDCZM zG`GDD(;sm8^kAA(?Q7KxlTnKzVU|A46KE#Pgikd-MzfxZl@}=a51=mtk`#;+1H_Uv z1S&O07iv{M$~>VD+G6!DU4MOGnB2`P`B$qh(giLVdKWX z_8MmZM53!Y2bmyfipRjbfy5{SdhY%HrMCTWdT(E@-o^qk>$+n%_nr4DU`_K#rZB8J zrqWTj4lX%_ONSUHE3M1D1>T3M(yYjylXY*_Wb>V!vBNJqHgcWV2*esRg?%da@Av_M zM0jQcx(F7eG5|y-OgW?A$#4`3@pErM#!jABkPj zJNk^GLfeY%LhPHy3O;K)B0K*6JuE0lC3OrE^v`&A^2-nUuiGm!CwZU!#(Qztbo`Nr zL3E0x;rClI`Z2EnXCNV2KuN`~|Gf-K2Xs&aNL$#aNupQ&$-=*{-W;UDqE058o?6!B6=D*!NLyr-rQs?bor6670}{j5idgq;g>Riz(04#@Fpkj%;VJ zj0|ZBdoc=l?wtkFg$|TN-2Nx_{`0*N0x+`D2C9H_I79F+$(JX}F!0HdfT z$!>4&V$w^84qsiVNviwQ22?8iRu3_>g&>T z{Of5VWd1=3I7&)NxS!v8a1hW`aOk+odi_>C?^?R+k}ycD0jdbkkD`> zW8=2uOinG{#QG%T(PF)PiZQq0%=Akd@qOG!M#Y?;hsDI?C*}hk!YTKr^dbgbqlI6G zgsmP5DBgWwk`qn+%aisXy{#HI<|oo)V_uu%w!{3GUG{y!CTiYhg zhZ57Aw^`65^1!W}tsj!^C+qFn@xdWu>#u{Kr$b#hxNynQNR4RIB_YH^%6m~19jrIP ztRb>Wmay{&0F6c}2YzfYoH#{^DgTgtFG}p`=RB*nu$Xq1pE>ecWac_cKR0E*^nhiV z%^9Af=5iLS8MW%);4I&@Z(rKcW@d;F@Ywf#Jf^C3GCrc^z&47fpBm~qqd`XjnU_M- zmdf-O*$xHbxnSSmpX0>LFa{kZQf#(^Spo-#RA(x@e_IxL=6f*>ZY2A0EQ%>Fr7ijv zp2@pW5M-FMJ@aCTB9rS=ckE+p12!V<{COR+o6iBu^K^CE3(yoEHiX{2!fQ3ro4#?e zvf%XM=&ib_pVM32zxUdJFvB%RaNC1RRPlQtlp*nhAoj=bA`r6+Mr)GaDzc4o4T>g$ zhJzA6XJeymWhGnhu(E~d(6S#sG(40%d|ac((}i|ARqqLHYh>d9hwLqM*(KK&E}?G(Rz$a2z30Z;YwVuE_=VTJxXvr)e0Pw>r-VfnXw{VZegeF4G8X*VVC}d6OSn zpYw1w10zM9-9kh>P0<`!x@Iz!Plhk>_Qb9Uw_}0WM;~4IO6-P;?%99*xuluCI=Vim z+~-{$x48H58{-biha6k*i;2h*mORNa-qwq`kUMF`7c^mtc@)e~KG z{(=_IC z9wGz8(gUz-kC97Z^tAJ~gFvR{C6K{-=fn3N3dM7U=kXID66PjyEWlgP z)0%t~Jo5aHF_ciGH(+N+yh4}-!rryoDx8$_NbJHO!`9e4&WZz3`Pw`EWIHVx-(D~{ zct-fd3kobvWRr9y2 zvZ|^C3N5n5PR@NcezdIPlgDfPw_B+x>s~j}HD^DMrYqQX^3l*qrrIPX|NHu@pJb8d zmx4z4%lLQ@!uJu^T(6NZ+Cn`8`O3`PI2RTWm6W{1`YJ#{dT)CT-7S1vxh{mBaosQ+ zcI{wy7fH1Rb49m%w>n-hBqla^c4e@Nyg>>hwtawBRsc$hI6q!KzTmhxk&#ufZ6u}` z2k!>MxhWORSXGk42r@~xT5+plg?28Dhl^f*bnK^*5+|dbi}YRXBa9+?{-n@>eE|0y z7#;!DM4a+Ht5t2RA1NJg;{a;|!yuYZBGpw7WSttls(6Yvf5YSJELNpqQcU~Xg4ySOX_mUWdnT(Q$lw9r3zPZiw>DcChBe0>n!b^jcYoe>k$gYPb z%a!TyUUMVwU~zH|BaBi%?=|2WJkPo$o@!>m>3mH{fD`*SERJ9m6ci+Y z8dB_?Q@#geMDzPAtamrHp7PpGtLVKz{aRUnFrSgQoH&zxIl8))LvDl=Zw&z5i?Bn0#H_3Srq)$AsJWV+UuI1Y4pH|>x_ZMyv3|yFSKare4n26B$N!hbsz~kk zcHJy)z><4_rRHDSl){8BCna(^OF$CS$-f`hU_G~VaL@ovMuMN9dz-XrSx3awc&dp^ z`~A4L69hT1w!v~@IXl{{nQ}BKcX3l(V3?mBy>0)Yxx2S_(0x1}^?7+cz8mJ~n%o{9 z<}iA@@9g>lccjj50A>su3!17vH~iui3hp3KC-pqnrr!Vb0=R z#gW4PLJb5-4^S~jMjC8Nk+6H4BpthT8E6-2EwLSRPaKw z4}ccyA*CT~YvB7yJEz6xP9)RlaRCnRJ;6Egez}GfPdM9%?*0<)GJ!S|Icr3-a%li}8-^I8 z2hlb`snLTX;f*{r4}>?#U@Ru`MBYg+pVk}iq& z)}6Mi%fM(MYMb9Wk=N5jd+Alv65_t007UQlkJ$K|n~@|XhICzgxclm5 zOM6gtNFq4MHc(@a`Ol_q{xeA=Z|HxKsQn5)06^lupr8NzXwZ3o3+LN`0E_Ip*Q|7T z_P1_r@f#3a9QA|P2N^Qt(oa2-e)#B-4o*7qWL}$Yc~;>>r@?Lb=wt-QmL2y`UDiJ_eWFdAQAm~M_ZOgw#<2Ov%+0#G94#hoU% z%YD)iPs7$aG=C5`$U>R0=GE~VW5IV6Oq_SHMlk4V1)w+@WUDi!%3iyr!c!!4A`{DX zc+g;OfiW$``pa?1`iW3$dc;PrY!?$7tEjkOI5d5Y9ke2}w0#?Rn8mGro+B)U9fjln zA`Hp0J2+Krzkg$IXFq46VY;VSH2~gcjBA!+v zE95h(wtSbSr@0#%p`S)8XpJG;em_4KS{7p<1W?YttZND$t!1tgp~vBS1A==X9@9A%_^WQk$vM3Tyd^#`&5otSyO+O{z?z(-Tt>pf}XB8IZdQp@bT^Sh0Jr0GAOH zFzz;Td5JCsKm?(1Fr9QiabP~#Im3u?9|5oJn1*^&{ZaRwp-X_Y?y2`5fjpMq4*gwy zN*sxn78Wm|iH4&4{DbLxz>0~BIr82SB-LVmZb_`jG&3<0EJnGMeR_>rgUsatrhh*%0^?d0}_nJnHIq{@Us^I`qYqX&H}j)XbzlIz-pgmS;>uBW1M zL$iqFLh#6(hxW4+8!LbZ+I8g0Lz&14#6#oSZXr`L^xn|%bXK`Lz!U!pvU);OJ}B{i zgfSTeCrbIFznv&!ZvY|Lfo)GLGUE{Y_kHnDjB$8Tr0}-D6e2r;sDe6T+e8Q9mK^$v z_6uN0XV*YXTH@TGsi~DD;lfGit;lFnKf0F!`4L z(vz@LLv=TL;}{_(y#r?u5*phsuZ4w#e8JHNR1u2ifT9{%n)!L-c!5A;As#4$57W|G zWEve}azy5V-Sh{cuq-Sm-h?<0NchN(IxvI;Z30IJ;yKBwJ_(>_dT%@w$RO)PvECD} zB-wX?5$M$2cGNFKZtL%qMgGbcyk7acvW9$fzyj?)hNbqTg!E0+XKb=Kb4<~WpPeC- zBppuc=#{<{GOdaevu?4KAPaMVx_!kEMOMaOM#C@g2abZ~hct9VqXEUo+M|u}+ws1% zxhDrzMA5b|SjS}X+|-W*39QdA_l=k2oPi}T`9Y0TU@{%R`b3i2kaa?;H&&kDutRv2 zE|+HwaU0b^LXB02TEM7%!V8qBPOq!8B z*lN6AhEFSuGlqwQVbiGBX2e8xX=_=m&eW3Kq!A5Rh=S3W7$8npT+%`V4L6<&TsZ({ zU=i!=?zZ?fTn{$qWahzaeJH02$)ZEu3?U2o5Y^Pp76%w*{?d(Vjj6{QkN!w;bjSzf zrvJp=h>-Z$H5v($7zRKxGMqg-!75y0@ey!x$cO^ zugN|^$PQJy)+}eLGc&5HWdF5Mv&HZTSnOO+CHdod1M{_43BiZvV{?lu-adBdeSPT% z-~25Kr5_m^GW0ho($i&m+(}wqIe5N?&yla$A?ZS)N8#bCGnLoArb=H(bDLkC>dtm? zcGkVM2gRK{FGRTk-~hhNC+bsR3kW@p`{eIp*V(7S#kF0YTj7D}hOXs`xZb|=A9t$= z9hggCYKfI50Zn*gN1#x+{H@auXess;oOYJlF4*7#vn8@V8b$=?k*`{hb3=_2LR6EtGH6-tJ{|nhpJW}) zeSOp3cW^C^knhMAAln1sKSFtEYttnAX)$*an+OUR0u>d;TBHCxKw2N2;N+jF0;=!acy!s4cZlnuF!UWDR z%dy*JEhO~L^PdCGHaj6VI}iM5sr+_K46$$`2#0vUQLG5NjrDNY%O2A*@9n6lwBmc_ z9QGnW3MC<7IMIvWOcs8P6}4atB#J9wG`bDk`Rd^O-#zv@b~{H~$-H})$@hIsYtBOy zE^i%J2MP(jEKtGA5JEgIu+g>1KLf9gj1puz`ms}9{P46`?#N?+^KB{8I}|yE&s>rJ zARRsyb&$&2j!%(NBx7 z0$1Q9dQiu)6Aim1ZX-NIfiTXCI`j+474MpbyC0E}nZKluqu)WDBAqizx7>SKRR@Vp z@^Y75j_-GWvSj(b|ER~m5)_P=@B_@$EJs3phb(?_wJ;K{^03J)u7wXh^wbn$p2KT8 zMiYzdGPHv&Qm69_TL8>q9f39OJyxw0{1ZYik6{n%-m9)}S*mLe70nyn^jh20wm0`+ zEsD{7S+fV4EbyU{ElpB@Pkj*whD!-+@g`ngUY~!zRM4atUZSmo#6)Y)VNsWED}DFh z(e7*4Sbc_X@%kt6P521jLp(``y(8vSF7cLKHJn zjG_5$!$)+x7e~lyOnzwS4bwI1NLXY-;c1R5#}_J;-&`N1cQTgp^+^w1A69Qcyo#9G zz|1MqZGy+tpPdq+j}>w>XP7}93Y~tuPS3Sk;k`PKlIt9R8haxB_nwIg3$ujr3u{B; za42uog;|`WwQKS~ewR}xdHsM@{VFgzvJ{6DY}{S9YDp-#aA1&r8Ha^#?)W>BsrW(a z>gu|e{!G6-Q>Vjs{j&69t@7;#5kiI=xPY*0Zv=_|q;tnh#XPBc2FZ`^EsT(eoZ{ZQ zb;F0}!IG}b!p6~$PViE0Ao6@@ue{e*7H(M7AtsIkp;#>QKM$Z9#hEma%fAjipk)zi zLG4~h9Kn(r$yf~0DWx^rPGEx%ikXfNM9zZJlw99ZcW4@AU=X$Tq3Mg zayn75e^`y@w#&+2cW9#SVAn=bSUx&+n8)hyJ*h@JtwALw9dhI0X;2RSsJ)TB>Ut!D z%xT<{9Np`05#vQc#SDD01>>xmjt()5p`-q~^u9Ta#ACU)SOq@R4c_-!nPb+u9uC3% zLDP7`2^)%{FW7nu&`l(i^e`qpQcd|sy(pAY1!M$)yP=?O;EM3H@xi~2!@kHE?BJROZFCqnIo51r;kkb>dAkW+6lsmST0b2u`&g<>5?cG|BglKo+qifH>alP zkNd7$Z{9R43&Cfa(cmwyB{+qMm3<|1y6 zv61`~c$6}n(qx0vK5ne#ZHi@B^lS*{{PP73!d}Ee;6T%V+!x#@<3<<#xD6g*4 zg(Mzh0|%oYKh_o$Fy%_oS?vz2JTvmuaxJv4N4|zjzZ9@wBQ* zPYAUedz)`F85wN2PUmlqci}0g^b=6*e?N@~#Ec zA^Jz zlZhwZL9i^t2$aP13B+uCJ;pzfZIO)4 z)z!A>4`bMTZU8FNt+Ci25U?x0fySsw{aZ8AIr?RVG_;gW zPo2tk4hRpYhMU{%OgJ=Z5NG;5d$xSobomJYW;_&Q*Zz(|co7(=6v=RwLJ46z`ATjQ zvBS2X%JS6T==+dWrP!|o-X^rL7QH1ka<16h4fERZQ(@cywsOGrqozGB5PVmYgO5z$ zr`Sj)cvaQZ#*JiB$Gn?8!fwQ zR2uZ#eZ+VNVu@^i^R&OdpNEH#;wW5mZFdUHpZ~=dJ|r%F8yn1!5;$vCW@Go7Y5c8T z!L98KAz5z+iHHto)Kblif3&qJ3a{bhE09FQ)a=i1VFI=fsJ)Kkx?O0imb{v=;aMkcrFpv{xyA zk9$mlAVxRFfqy#+_)+~uYYN$U+uK|A_VT%s;g6Ty!)h`U0@KquTq~<}x9+Tr={xE3 z%X4C4g6!CZ()Fw0v0sJ#KJDGkf1!_to{*^HE6wj_>zaR<(bv!@FkXJF$jP4&_y%Jt zIpSdq`uFn{EnFPfU>kFR3D65QnuiMSEgzgJ=L=wv1pGm`SkL};O>J#up4<3#;s+1P zb2BhG+=aCd1(3;9vJ@W)(W_^eu3Q1VM2tE$400xE3#P0iz-FA?-LpYD--9_v+FXP=jLOVOSfpf7;Ehn;!>Lu@S8x6eR--&X=b<~XYudDMrOIJI7@fZc zDuJk&c>ltm<&w3vbme{Dl_^qo?D zuk)14&wl8;Tw1;`F>Lkj?hce_GQ$8L8u!e)Q;(s@kU3{17A9XzVk2n(!EBJoqWi(? zm+6=SRZWBNZk6J)DKSO)M!PE}4=k9|0pg!|`6(tLIbq5qa17)Qh7_ni3`Wb*lFFk< z63icyK_(L4Q5ME`m5C&_0uHx?C|e+q0v3Ot9V^=zjdu8~{5b_N8!?gt?Z!jyyfkaw z**lEMtnJ=m5mU*>I2h3U*7py|bsaA$dlI@)o=#O=ofBF(9Pa;|bp3!?!{q%dB*fEv zCptGY(X&T4w{m_zBJ{?xt|MM3eG4_BwY-)4AdB|~bw_ps9tXM3Ar`Mn+BP5|?%^C#WjiKHZu<=2@lKlo1e zqKrh~aO$b`^~Kjefq94@k~XwpBz!u2&*8|;?%$&ml3PlwTkl9aFr#Tze>8-3nZJKu zh9*C(J{3Y?e^o`>Z>D16;$ekaNN&NnpeIC-fzojiy4SHs-+N=N3MgEoJke_?Dd-sl zWB=7B%E5I3>pX#GN!A9`XmGxhtOv5>5?#uDjpZx0w)SL0Gx2!=k&AmdfPP8dz@YT) zr!gpp)ikt}=te82m3PMBQ)~$B_^b0``sMxf^cTR`ioUb^i}k_%)Brnyp1{s4P%g{L#H0i}9)L^@cynpfQtE48sMEg($@&F2*m2*vpP>v!{xqkE4j4ArgM z`yZpxYndkx{Z2k(OpbED#C{;6G2{qkj<<@rN(BgAk_n@uqZf-)fLI0u1-StbIl6JJ6e7_5Qc}kJ>i-Ur zi(7SNN*ym4#-}U<)ExEt9gJBy9rj1>nR_zs!+;=%@uFOO`!oiVSn0Kny#j_01Kiy; z@Z4AWuF2xp1~T}s@S->3l+`Y_B(wnZ0{Ww}KZb|>fl%OFL7)rc>7&bOX4O~ev8l~W zm_%wy&)-G~D{*`;8P9Fl-P2Qv*d4zD8gDgX&n0`DVQ<1a!y@Y~1u_X-_?BYhhv9Y( zefdmqTvcEF<&O#86*mZWG>yD&>)i8}5tQ{7qiFk;-Uw^K;e#vLl&!z_+EqH_W+Ww< z#0)~%#SQEgYbb@!*0j+c|ED`DN&~+%S~xVfxU4-$M7cNsH79Ii#_{{{-kRl_RtRIh z5{z}Mf8kqVa2VQ0g3Vx)7!cA|2-b$F74FUiOQA@F_~OrqG84BvMkv^mHR(oJ(BTP- z?Qha*b*(snzNR6WN(Wzy=*f_T&p(^Ag7#OfqlsPMgd8_BxksE&Foc6heEIry044(X zsN2zRm!4Ue9n$~|@<`v=9&a92C0o?pSRa^w^yhxEv=o5?ihy+S)a@iE1pbGdR!Nnd zQ)q}G3iyebHog98R(-{4&4l6EMV6R67L4KiRM9&V9_G`MJ?^;exKVr#EISjxtq=}k z*owWs{|hKxC36?Dj{_tpN>X5I>Rx>G<}3IePS9$FwH&#Le}>~~+u1^carC%wa1b;Z z?Fv~l1;ifFEA8ZFYbhXEgSd<)N7a%g9Yevf#i&1>9*J^NlyH?No9s-3i!@hkT_|aij@5j}lVJ41TTvvkO<0~U^q79=AiKC93lYC05jPMgpQ!~YHH_kJ3Q@qO^l6yHqJZ7 z@mq&V9bz$=IoPyCN5w2(2sH~a#Fd>_FfU>;J2j#eULooVR2v-I4?3?)9Xoap?Gcxx zgwn2~Y@Q4BSl;anQ<=hhAjK^h+prCW4X4fp%oi;sx+a8xMK_Q4I7eS{5cH+9o0}!x z#WW>47Z)JAFL2q2up9jfdX?LV0|kh(hzQTQ@WZ{xnE6{fQ$D$i zkiZyDHmB4h9yBCDO*82w9*yGiavPk|v3iJMXSktU&cbMn_yjV;&@6_JeB&En0czH)&CHe`u@gOl|^&lUP<}0%sb)ZQ;x9T^(#7@BW_-iu+}XtA6zAPr0Q%?NlL( zFMpVnic0YLHLZjXN4e;skt6ZIa5__6ybXsP@BmC(guBA@fM^7yLxcc}WE6Pu1vnf= zGm1*XZ7zDzyP|}SMc}lUg`a=tQ(BE|ePqe0+1m2qm%&m-66d3iuQma{th_R{n;2&S z?lNFG_{_{<$R|P1>*pKtOT+@9Cz6M5SZEW?KVC$E_KjdmbJThs z1b^&MP~NS`|MxBa9tq+0a}34GLA1u0)2v_ilfJ97^Bf|B0@Yu`rf3D2D_GHDk&Xti zR+bb9mH+0%zt^O{{P@uZjYEujHr9>pM&%&su5c!h5@T~NC?Mb`&J*ui4M;Cgz$mwE zvshbQspl*=V+{_l=sgu25iy1b9VhT-9F%C4(fAXts?4@)1C)O-6yL!9qsXxU*ApEF4XA*w%*={P%KBgvAVMZl z*T|ir-X$uRy)PKTF2R!z<)C}{{P_l=54NE zO)VtJB%K@M9coY`^sLC?BFby9b!4kn;jCU5T7wHDloC5J5m#GKU9eC|$`(9NPtiJk z`qUA8b>EB3AX;)ir6Xf`o`n1z&zcGdTA8;eECCjOV$<0anRi;USGTcBUHSg(Mu?u@I25X z?SRy!gBFT@WmP0?7h~4vXD^(`C{Y>4z`kr#3q9-GesFr+00S%D0~`1p4IdiQ-x%QF zAo}DAr%#=T^qT(kTmvzL2!Ae8-=B!5@EsKBq%*=3bJTlOUM`eTzLxtzS2{J@MY5QV zoG-XN2K)y(kb8hnIs%yyY7SZ5fD!ifix&{HMB@IVYp32V0eLZ_awKb#lk02rh9-zZ zfQ$r9HfG}p@2N!wN-TfEyi2y#Rivlm4UCOReFKGq-C!9%Nts2ODt=0?+%GdYK_SiK zavG!n)O}{KoM@b(<`TX1K?+Nt3%dUi12K78LH=OM#6WM5ZExg%(;xQCkttIphGCo_ zhJ$uYoBW7>AKU0LJ&<)o&a&6`diK2ed?gtmwSdQKJPQT-`@=D&64g7Pb`}X+It(Z( zoH38lYsk@?)?S%94WUv96hf$HZz@>FA@+kNk>i@fo%~Cx0*E7xoquEcnQSbS!mLa6_q@cZ4`!7 z#qR}W@vA!i{{D<={QD#9^g0qS!q1|2M`MA2V+oSp2R=ZWCJS-UsQ7^-2@_i*4F#0A znYqM-BdW88oAl#$Z7hzV6l2-FdpCL`tdZ5hwRHXQ3J(&bR793`4xS4%S0v*U-@T!} zoy}970jzU9qOA}NLe?w8k`)T)I?CUhgUtLe8sPqr;6;+OkL)r&({drw<>CIdaQ#J= zFXkE~%I5$RK)t(-e#Pp$3I=zua7bZyLE8b4U>6G1+Ay1pJe@OC1V}Hb_FiQTDW_4$ zb8UL^M=l|RdwOHZqHS53yKPSu(|@ktwhe_JAShYcOwDed6__6F2SXPQu~MYNB9c}U z-6)~W@i4c{<8{_2FA*HGvfDY()oO_`x?qnsA(kQJ6>Z0A%2hke2a4$3vJE zT+91VG2>d|WwS)f{S@2AFi}~*e2ph*2{-~DkYiNGEL>e_pER6E!{`Aq%*LQ5x}i-u z>LBgQPpZJ#@wTzSKEYsa2JY;(m`VN`0~ZAeg^S$&?4%%ThDShWEaIH^2=A)va>(J? zEGaBCJ%M?VY~e(<1JsSTP*S^44lhzk$a6n94jHHF*C~xfVmuy^`!N(u3DqXX#%83fksY46nk3tu#9skx2hMU<+UXPQCEy04lakbk z%2nJ(Gme~AG$v)HjJM{*xLw!>t~MmLk=+jX(v*0G-r z`!1#W_i__ry5sno+5Py7z#gF9U&rX;Wnyv&qZInKjX+p1k^`JUaTh?yB|s}x*j)f? z+oA{B;M{8D=XD_6pUFE}>2~ZUkz;h8AC)<8bH>|1jvfXI1-%Ul9v$8)pu4!uP!9Ze zU7vY4S&RP0wC*hHo_z8^vY_Q=3i;2FudC?Y~cobV<7Y{VaLl@} zV93KZfqGO+0H+z4ui@&@2ZWXVK^q&Y#F7-OjIGXvSNk~Rns1Rfo)njr^mCF0EF=5s zO);(lyw+q@Es#lYwb(Dm1oJMDVIkK9A#C?QB-Nmu#c5Ix(_3kdj^GxYac4^`8%Zux zC@?TEFC;`SL{ULglNt)-mWL%c8+^*dh7e_mzuNHbor&EfKHO6*Y=Qy~!`wM5D@EX^ z@eDHfX9W3xA=g1)V*;yWWPN|F1k4uByQE`#a67XKgt}(Zy@2qJQ**ho9U& zct7tP_n^V#%imdwYj?A?&*AcPuU`7WTNXcvb^s3^C!~S~21@traR_8z$;SOf8MU>y z=b#9vI>0pI9HPT2C{HuvUpFUNyGH@u0KuUi=!e!&6hpB^Uea={B9;Xp-iELroFm;$ z7w_K8K49xzQXHK`(}8Z#A$ZIcnyPvruT*8{YQ6sCb3W**W^Ii8=POi%J{9G17|j!s z^GFB}`~uki%!8e3$B!Q;`JXr|mmUX@%&(VW1?b{`;mhqi}noKc538@!-Q-kg4P7*2&gZXyfsng79*Hps=#B z5mR%i5h|ntUC`U7e!|Ne6dqV3NNq#`bMWXOAv&T0^6IGT>1gx=Sy-6vZ zq7V%{YIZ&4Y|Y74O@n_7s5vV+n!cRaRPE!(-MQtuCy%M5lm0{#e;5XVFB20>U8C_z zr%&$&>P+@DK=`?OEYF_Es-fm%+$#3xw0tJbyDg(SG0mTwwSGEhqo*cOiP+d`eF*x3 zd^D)rLEOeqEs)Fsl4hOR5MeU%?M~qY{tmik!g_)1#&eD+HZ{Dm#3u^y%XE=^znQ|Ag|ndb7C7F4V~wP9p&N>_h?f6#*B5!{07@2@ zmj!Ruqh}1mQC$SjRK6}-y5qk3i4#7X{<6Cs(c(X`F%vE*6Z>t3!6yF25?pRuolK$l__)5xqP`y|Nc`5^-#r-55S2TVfUBW!%tK$T~ey@;(JgYY5O6udSIH^`IrH?VP&K@DAd`2u!tPj~P5Avoa6dE0;Pif#AS z-5!eO?>5)ET{D^b))eb4cCM5zgyjDSIE%=NQ|}6A z6*#{?<<0TPgAWTG{lwei5f$I#ZeOV}-gV~l_MUXfQRdW>^1bz-+WD9~9=fDs*UHr^ zZ2Ei-wPw#dp!wJ~+VpbG_Y*wfxc`f2(ohmFKw!TPd_)kCN=x8uQBgWEe|lwAu+aoP z*0!LcMpe;vmEPrguB%g2XM)yq2JCqwWIDeGP06VxDbdz<&3U!hCxmKoN2^X+R5TiC z0DjhN0rM+z4=rxFJQ<`^&JLEXxEs7MvqqzS%JBn~vdStdyp4ARxwtYf(%AW6BFI25 z#5zJ+Wt_>z7)+o@Y5DjJYqS7oW$It-Piz8G%t&))c{Q{>s5;n__Ee-?#lHJlTX!XX z#Z5=KP#c>W>g{DLHcoM1zJ{Z&q&^}0!2_|E=eg~w_S1QVw_M{IPm2>%`F1R!jp|zE zwKdr-^E0RTZ|#~bTFFPGI}W044-YPPNFM^Fi^5e5pldAhGM+g!LFdub3PjbXQ3ba6 zXkj(STiWC7!e`76dX9~C`dK6vS<{NHUh6wmb#%7>x$`s6Qn@5Aib5ApM2lVe^wh7~ zU8j$&N=VTHKX^b$ zMtCo9)H#oDVm;|DD)o9tZWPJRzBv*6_b1tQoBOZLzor#|L*7)&O?R&BDDcwF zp?J3NLr>bWO3IJyLEd6CQ_XR87po*DYb zR@FwGds4+^ls|#*rOe>``VoD6T7B!OI{*2@0ETDd1?j`p<)78$AGvIDCqd~`(Y~m? zvW9V@1~J3aPA2Z+^%e({l9I^Ii}f2f^WFP^@rrQvFkFv6>QA4;CWlY|mUMHJR%!0B z^F{Vg4c=TGQu*;@_lb7piyzC+jD=6U?4|gGjx1)MEc?t+L-!zIDrBq=ZRg;Sj&COg3R_uS^G5@qor&;yp z&F^vvdB%EH=k3CBGnk$k#q9^A2bU$HAJV(o`6)L%oBtti*tJdQ`{=dnk-_y%&;=g- z!G`8Z;3ESw^DV^_na1`mHouS;iFKy6Mf(oB6jzr$S zP>1o(u<9tDji2BBTfdI>JwRAI>LuZKfKrjo8X%8|OA(z3Q5~Nxyz^L-#}aFzf`uH@ zW3^TfU#+^?dOlZwZf%XHORm4_FtYOmTDg%t0I#~yv=dw&9N+o`M;*OxW<>`H$6u`L zPB^wapC@65N)Zte!rwoLWmBvO8wOo?2X+_02?_%7Sp9vTfZqrKHbw_je00Xmsy;NH zvT8qL?b<&|s#{!p>M|xV2e(&o-nPvZ^4bRhsiDAr#rjGCyiq+D-mpttq`kG|VE9#a z>xoe<8J9mT@vKU|Zk!zQ2Wi&!xJ}{^1dpAA!2qy>88vDo0RH0Gdrgo%uCNExZuFdk@;K=5qqAJS zjxoN}XUy-!DH|5c@ao(*V$L=Pt|`sW zfMXos0=?orX5zk{_l_1{x?!vmh0$y58tnYl*mU$TJ+E8p;WnT({nPTm$cvhYEng65iKiqom-#>obC`GcjD9Nbogp9OkAZbdG(I62S z*%6UYQrQ}4Sqa(7ZjdsPtc;Q!WrW7}c3$t#@Av&1zMtcB9Pi`0T@>S{`%B+RZ8x7V#0;N%E}7~YT|WGqPM5Z#m*0FMdZxae z*@h!$6{`M~x=hkI`s?WS=#9UN)7-YmToOt`;oQ{MRIP(E9>6q{6H_lq+%jT^zkNcK z>-L>@y%KWlphIoLXpOaZx_w)@qteROMQM4^$B}C)w2Hl6Uh)r%EYWJA04lJ(eEuoQ z@(;<$A>-2y+UB;K?YQ1pc|0QWe4i>ANsZf%;BaQ(^m+v@w*HMAX!=kj}a+eB;@CU#2_0cgIqbqDnE5d%;1)*kh^w{)#*y_J$Y_+FOoR~7%JEN=N zDj9NwDkO5I9k_5{(?*TPTKxDC6=m)B7H(l=K<$1&X960wL`2x7 zK9aGWG<_XaR8$1=0fHB!Frish-eFaB+1OUJVmVIKBdns;7S0{^b$gJ1 zw=j9-kM}KcHOM$dNzee>Th*m!KwZ6p+cO*noPM>$WSJ;uX5u@mRfAoJD^J~6Q&;?BoX+rfqg$L= zj7l>{{~oFb31mjaFlhF7$~uxP_KF7dZv)<1i!(n?kLvH{cd}*bn~ns#seg7t+srlw-R^7j)epiqrt8tdaCLJ+Xs>b|Q1i?r+!6wZeIZGihweHv zBFQ5|wRv-*F*o&b2>N?cdvolrymE8%7)mRTe=$#YM@QcSfR$kfbRUp+f#C2`*ThG^ zO&s#heDdTDl#es7Z)nWGHW}XwJ?3!n_uMzDOIGF&&8fS-t82)^;K!pDse9FSjR7|D zTiu)zK@C?0)pErP|KgU!7@+);v|RL52B9r;&W{Km_V2XA2e+7m@uuT_7DumUdG`g0 z6ABr|4`|zq{Z24`+|?1CQ8L3W3#U&K%0Ncbhdu1vQY>&b!Nf{Ff{#<+}1g9l`fqRQ__5_#XL84o6&fJbdySrTlgVL;>0J z)^6qIPH@Fg%{juxA$hxPimr#5lq`HF?yG0ncc|C?E;Fe)+9%=-8I7k)l( z*q$UF*!(HVcOK>a3@C_0td#%sZ(KS>Nk%k>X4h zOE98eAZKK47|fi4eu5|eCsChGmXsD2&THtA;5>J5vNE@A(5y0-ZvFaMhtDX=Hmp08 zyUFSG_X)F~82+An@Vds$UA%7Hj5`78n^0%EG6HVsP^ZV4Gy*qn+-L}LH+<>mq)0!m z@9Dq_YY)a4R{pf>+w9H_ec#UY?^h~4u|Hu!rFOb#cU$v6Utf%%VU4}ps%f)k93Vr_ z%z3yGEXwQj!2U3PoPdK6C2(!7#LV*(EyvZ5 z`6t5`eSOP)>X>GFlM8@*k)TI6=Si=5a^#Wo(-x_9zkcHeSvO4{&2KV1#^Og(e#WVm zZ_Il%ocHvdtzSO-fj|);wBwIz$gZ1o+q7&*XzAFUzur=d2|m!nDpCW<0Zeq8yI)h* zN?Y_Lf8Zdc@%QT9T>ks4xO{5KY9*J>pVZ36!hqBFqLVp{&IgcNM*UHsGnzS(ZEY~$ zRXH#=-}1Qo@h8Xc%!#%SI+otCvTIuf^z|uWamql@ zB0^6Y@;Y%=F?YWtpFfQ8O4hDYiLyX7a-|SkY)V=?Bo3g~;mjhI$eM3T|+v`pr zPT0saFTlj(Z+ZfD#u5U z+#?LCM@}1$r(1NEiI>aYF#sXr%1)RLANV~+Ld`~By)vGMN@?7w|J zpw$uOBJ%fK&!)a*3rnaw4;>PxGCbdxZ2~c@$vi|z;fJx;GA&K`y-vfHc(${7-MY)= z>c39Sf?r-a7#K9>Z2AuRb>th%G1?2-$VsSP^N*_&mO1E@=hFF?`qh;HFpOkIB{}jk z0`lK4#l=P$gM`!@{B^xao_{(FCB0>gqzbJ~JQ8S`bH zFv7~V|6-KFs0)Ox_SosYrqg~_idNsg+c*Hfe|v4Zrs}m4fbp+e>Z$L>tUGX#r+)DG zA=4E%_l5Q7?x&g9{d7QW-|k(y4G9^(gcf%nOe6Bktq~D20fzA%yEuZ}=ZYCva#wk* zmDPV1HKInC^x`gJrG<5`O>Zgev)eJ&_;cvLwHp)KVSseFy{78#U%&tJcX7@e5ZD)b zX&Fhr?j)B=HX^ONAfNbHL8jCV7Gr^C!MrLd*}&u{ZY7@=7k?fN+jFNmP8PoEf}a7V z=`J~cdsL1}Xq%ayxHNZfPWd#QC^SiW9Mfyjk#Lxj9X;@w&Pn{ff&g_h-T3WJ|BQTi zB^;CSi@!!@>ug?V6Ssm!X3Wjb+wZ{6)|xMk9=@arK?eBvMXdu5kiGO1CH>?xvs+5O z(2X1G1!~|CsyW?&Xh8whiXxG;!|Sx=k)h^%g^IJ^brU8X+PMGHV#_qkAsPN1f7f5# zu%Q@INVsXCAkGZ3;W-~=qKjNdNh@L;M*9QM%Kb!DFzM3Ld5~&7d-ioJsaXj6<`f)>^1F9*>d|)RYTUZ#or;UC`KRY^(qbrtp)rZ-`XF=_XKG zR*m$(f2x7uuD&iCSvoMg*m|Zq|I;5i($)E20ZJdL6YZm8k|tT~t^V-$*W`*h@uRS{|B(=m6jBkfHOR8$k&o@Yem* zzV38$XuW6z4?)OOODA`G<#IDGuQ|5O_X9Knx;?qPJ^NK`_qOBq*bulaToWV$Wt4YWR@hQ0wTQsrO|xwn(F-_!%Qd2 zHqN$(X45;`W=FRK-f6kGSm|Nv>XjZZ-ou+n+9<+KQKg-=J3dirKY&pN`E=&TKt_q% zgL*Ec=?7!GYg#M+42!bd8f5w@Y1Z6v)MHU^7r=_ahsdx6yT?!OZA1D@E0Rl75gZ!I zQ0@lw=pJ7Rj~VufvigJ0hxxd7Qx%E|E#mfHx+LF==WkE%gb8!z9d+qFTuG<1ZgYVvP z-tInWRQdQD)#v>ba`WqX7bLBNT0w%wM7vN*rb&s`*A$K*B^w4XPVt|Kr=JrVd1o7w z=$c+e$$mkn2Yzj+nb?0!29vB&Cr0PyEFOk{@Hmhw1_sb z3z|U8AxGoJD&amP+JMlag#1o(3%b|Mdi8v}r{?g~wx);elU+Nqf+*gFfTAfGnf7l!QTfj)S-Hr83}U$a=o#mu`iYp6=`GR^6xpweX{Jr*D+6ZhC6kEF-;t;a<^M zhb``XiN72g+}_YovFnC{HtN7Ik9_m%&B^VVf4Rk_cMH{9jPRZHBUt?po#K|_s~LYj zB*r|s;ICe>rgf9Drq8czxLv6P$!S*l_px_K3>}bn(bI|{4hc#6uK7*6Js7X$wREP3 z=Z3O~UIrUo+9&}R*lmsJ(kRg3Mc~kHPuutFGM#_LX`N7|YHxQwq*bhiZ-18@g>75@ zbw9sr!DIp?cAbHU%Trzm4DhUIUD*a(#^ap zo*_+n-RkCAg$G_uwYfIG*>}@bm0G{nD4M9F>KVos+EJ+7m^-beo^BMeD?KcJvJ@guWkGe6t=j{bm zudW5;#{HKAyna(t5BvUQ%}RLvn(_`w3ExI6iOqNNet4ow%loNW zd;Og(tV_~5?`#wHq^3_rVLC%_bX>-M$_PS080C5W#@yh`7j9KL(_ z@6d&`pZ~g!%6g=|?#u+=-uwJrdrvCge*S=ontHCKS6Ry0gpa#6YA6ffi11ByQo$7E z<10!IIOr(9`mK_FGJn_BRdGK@VxIH^>{>cc6tDA?i zuH%3Ou?O!u9cb5NdBkPw9`3fwRyDl;(B+J8VKm=Asr~Uf%`tu-jar%xB)tXPH@~+- zyJUxk15ys#JZ?WuqetU|FOBn6ZeBBt)Nu$Ib!n+~e5YDn5hi8bKh*Y3w!_@+_Q&I^ zuD$QL*0oV;c#E!q8|zvhR@dyn%pu6!nuB+OR&7Jna0)PKvrR+mTQnHia-81e+GoC~hTo2!pnx{3bd!2O$^9FfEOMMo9j}}?_}SjF^{oy2 zTBwA_1-mWp7SP)0%kU+`stVocdV;&F>euOTI&JMZG_-1iLP>#7oZo~2x=PRitsQ-| zHe`&wQQr8$ZVRcVB>^tqsX7c-@2sb1J|Mtqt{U;6ZgjJKk(2tYvW;j{6qVwp(QMU5 z5)3|9y=_jNTNhK5G*GuNsE5I9S)weEuH&r5$wJHDeBQ#}KWnD$cVtR6Fax zNvZjlJn7Kw0MA3vAn4ujYc@AFRhjd1g-z=4-FtPt-MkV^7b{#|9mHeW@WY;D5K$Ud z6zsACJD$mPW;dm9XUx|(rw6)v*)`yPY0~oK=Ihvfsxkt$8O%Z zG5^v;_1D0Lb$Xo(lBk7J2Hj*L+jGFXqKtm%I-P$|MO)o>RbBN54;G59F`;I4b|bg}`XaWq$j{He zd;cE)MH5QvHZliqbei3Sm%u>E;?~GNIq8sVW~gWGJ{7qAc86_0)ZM*@$K*9(6YZLA z+q&q?q>K&g1o^&JSok}@^X<8@;r<^DdoUNA39U@W+HMt(8Seom0Y1s^BA@RnfkvQN z9QUPsJmhIMsB#dPR_1=XzIqN9At36v@87%i=%GmEfi;NK#J|UG?!_RzjLFK-xP;XL zI0$$^ZC*F`;iES7j9VzHs+Q8aaW(bU`@-LvxM_iY(APSS>rs>0=8|0^9TxH* zd~feE$|{R;Y-ol4_b=>bKe9gXe}6VM*J4M0wY5mmOLU0`X>JeMNaa z*2U#tfOq2FY9t%4DOFLORw4q&a*xv@7Tu$aZKcnYs2?-U`*n}*QJnkzPlqcOPP|ma zLD^D@({FDCGemJ-XVEZ za-LSFJ`NXp4nc9~%0v=_{s$sKj#UcMATnzL<|ppGjQ)-NDuXNVbIa6mz7CPSBp-;q z0o5M#qdYd|H{OALXt|~CS;JV+1+g8bR#CrRbQYxFzj$!=_H z&@%>13&l}E{7|%H6P;h*x>YL~etHyT4pSszhGXuw~ygXnM#)6+)>l&;N8mlJq;7+iL|Hr2gV+dJ4Y+&+j{sa_Q^LNCK%R84qLo4$?NYa=u z*O|C7p^P9#Y8|)>|D;SBu|!eiU_y|vqy-6Vpsp``An@x#z%5>9Wq;?!;2Q7b5lp>w z_NuumJvW0`x{$mjO5GDDzGk?`@2$o;C2>JQYVbd5XkgyJHDKS|MF)e=G$A0{O1zO$ z+wUe>4qQhk{|Xb>=v^v6@#JT1+m`#^&m#GPz@})?qOdNJY&gdL!w(@rg74nFLkaWB zZOiG(U%wJKE97nQUfK+Em7r{%b}BOw)>MDb47epbpncMTiwzjlG?w2-dkVlBZ?n*g zEPr+$S0llPr5UYyuaWP{co(c+Dyt9wgy<7x9qg$yx9LEaq_GaP{=@LklZqKf>R*ue zTaHW+yeR6o{@vfu zFq(KL`CvSDD|Q~xkwD|1_3gDi-Lb?`^QogKA+gbz3tK)B;}}7gQuDtY$=-u%aUrwF zv1Ba!{zehmB6L6-@86$dC^*E`$*IpZBo1;GqJ+W{7Pl5&IcJ__ye*$06XrpnXCM%n zAl`0^0THsKbp)N2aWiNs#6Bp}Q0_I63b7pH`36DrohIDlFD&49i;5IEGS5i@!$Im# z&c1(8Gwlk7eqcduwDOG_H4>1NV~ulfyV@+{MW!tjx{h3Sl>`6Vw{HMM+hHQP@K7?2 z;O6OlW*f>ed2ECPFc^rXCcpr}H)6wvS%BCTM#Sr%(j9Z$t4aBB2@^7 zQ{za`^tUHF>Bn^Tei0HN1KC6@0|v-X z!$#c_%e`KYgGC*2$0QD6&1aO`7LsF2o5Y}pwIMRfl-wE&ABm5eV0IgZjJAKfFIOoHB&(mZC@Nwp<(*gv(J>AiF=7z~7gbKwmzOZx zBy25QwCE7R9q~Z(s~U!+zb`4V_j#brbMu5?8a8ZL?D6B<@SRas@j-$aGl0ff5+e#O z^$xm8%paV=c6^jv`=kP0vbFZaAb}dQ@!YweG)FVRt|@pqc{bEb^)&_#YzYxSdVowK zEn@Z!`!IK@FIo+h_CjdM{^E4LpERjEYZe?p7;*~J_C;gY$_v{iB6n|Texi;M z;D~F8HtV388&}ZtN#&1fCZIKk(h-D7j9;K2|HZaWN&?_DN>yCwGGz+zc+?jL9P=!0 zvGkq6pUF2kLl7c$X4uzDOFp&ZBECwrA_{m+wBPQpeOq20hE_f`{^PSJPl#q*JHBT_ zBho0SX;Z!Oy6zq7dyikpe3iMWBR{#!B70akJ-K&CS^-gOAKws1k_qpa=oxS{P}`^) zRl&v4CY{8m!upmGnCvC>7wyTTp^RBZ8Ng$iMa@YTf18@zt5@r(sBD>;`tbJcMqtWF z-D013FoVYczSgnlO0qZYi_{B}?g732`Fg2b26J%5%pjCN{X;{~ZC!2!rKRbM`Q=4F z_BMTX9y>FcT?sqx#WAh^B4W>;Y-kIC&Lqqc8@hyzTJ@^sELRS+DVch)kB-BU4WXg; z%rjKL(ot`Rf$JbdiQ~;N9H#A^%123m&i#4k|B-n!n9l8o+lnoR_&f@iuoEii!!*NV zlanpcg6DkMw|DQm6<1LCp;Ni{s~k&~JDvua2_ugVqM-LJL-x!>PVU_V`vEwszv$eh z%LJNKG1d&}tg5O?@Ny~FAECk(hXOva2MB3lYc}SO&_Iz*GBfpat2M{nf1aZhKh0pf zjm^4P;qHoZusHS7bfMv3Y~` zG*wbkqCFMX0$9kwu>Tfp2xKWleEDrVx%25a|5y{mfY-i{rnHVtNy($+?akk0-(IW7PV$ToVX$bM7zvN3&rlUcNlazF|c z&hqPc@doJY$8+#0uGq-s-=p}9oj)RaQDAY$awWv^z7>>|bp0FGirbtd8D3x8_Z>O! zsWyjX28^39;Z||+=*)m(3S5qyOw8z<57H9B+kq%NIx)3#`}Vuk%H;;2iMe2SI(A6< z^2$aw$0~@LJ2k3&llq!iYA0x{Ac8gEfUTxakIl)e-HCpZoWf3|HX`CrCN~tvXij-; zOnJAtn@DiHl(V_dP>Pws}D2N=hk1 z@6$;`Jl);vHPPP5aqw>0M6!TH0f}nodVc zuRnQ@Q38`L6vBm<&kkF*Mo{~n<@sNF_1y-eOt zy`Az!M$xjxxR;~9RGs3w5YaYX4<;|$$9h52>pd$b1w+zmsAdeBoWOFu2aq4%pQvDQ z3c_X1m^W`*db%My>28AaV_0NyqNS!T49)A4v@O=6(*@2taW^Cw6!3?oIZL>Detdbh zi&fC}{ROuXd{}mkkm#aC#cGAkM5)b)`nU?O-MeQ^0>IC%GSD5mMcQrB6_*=!|1_#( zQ(~gm+4S(Abtno%h6w+q$!K2!;~4wad+J4*7yu?gR#y%m+QNYK70Wsw$Sdb{mkv`gyA7*bpmfSazu2DA4$5* zMmg~5QlIy`{g4-uOiOgE|Jm<@ff?i?CU64EP&g6(kHoMC5L_I{0`#2yM-7|9vYtZ` z7CJ~vF>O){1*&LH$@$U0Y1UqU`7*WS*mRnKdFdS!`|0aPaXy@)PNbe;Iu(iW`^mmK zh^2sULbWFD+R4t&-!b!QH}t9xa8WO)!5U*lgGGCHLyu%-Wyu0ouerqa#P1Lt97qT& z*_3*Ocra05pqZdL&xE`k!>Yusy7j>YG;{IX^cZ!|U;XQUVJdoSD^AHsb6gqt;<3eJ2#J3^u46PSa767 z{wDWf7q6~#?xrI(1LvAk#%#Rc`4G*D`yhhXx?*y-jbECfD83(h9NMw^@XKr8tSm1$ zDg`-k%Ob?*lC&xYVCt^XJ5Ea`1!;H}(vJp)YJ-U|DREVs%6;5k2XnALH1;B)9m?qE-U-c*GaVTe)P(5-zVk zXB-c6O13TDU{^-C0yiTyeH`N&CHx-d2yb51{S*7Bkmyb&Z-Cw#{X}`#n_CjD1HNF` z$-T)Id|Tw8vI^>lSpH@>xTJ*etb?e79&#e9DTXqMLoA^JVR6g}<3I!1&?aTtDC-!* z2{tx1;p0}tCnln@yE3wezL-B%RXuo>eK=}3__aqrJSVDQG%PZ?LMj<{B(=2QqrB=r zvorN@%wrB0WB|cJHjeqoh;e|basbf1_4Nz?am@13ix*wcFA{StuK~~iznC6E8Lo~U zB!K~WfJ?)gG_&WqeRZg!_?D&GVUnvW!)n*oZ+IU4nf!u^ zMH%kAac&b2bWgmnlZcerno-U_>sBSI8?JhVz(Hm{N~6wo<#BtFd^{R^`Z~o2JMPG| z43SmP*+d1X;L5?x4X!0X(Td++56lYO23839Ebl>d4j?syK+=d*MG<+B&M0R?>cKbf z-fc`s@Cb`}v3&^S-=23t6!Z>8h5y#eb}4F46NVWHI3Ag`ZG0=-3dRueUq*P`9j zrQld%ypYQao7!o%6o)X^B)i6sr>&X!jbO%wU!UX2|GE{E9_RqioZIUT1)>yIa}Xe% zXsat?G!h69N5d&nZ`gtsT=`#FBO$G>G(a+Gg+Ms}&6XdLi!0R_Eg^E#!6AwKb1naH2Z*fPp= zW@zN#otI%`^>})wgv?y1oFap0EJz68)K+TKOHyAzoQVw&VBo<`SG@#$MwCGAG#gUl zBT&{OeJOsYgtWY2+t=HzG1=YZwXC7n~vF$N2vaaPP#g;HK!v z4q&{L*W_VhhE{?XaoB8gD}$E|EC0Za4IcQGN?B%?u4Q{-t-b*cu*JQQf3U>N9#B`i z_TaHXkN_aEo>WRYyVP~L<9KISaf7)OB~Cpdp(kCm>-h!snb}H87`ZWQ5o3xFzrJ_D zR<_|Ukfb~!Q@8=Zho6~@t{g`IqQGyg02<7LsBsWgEJ9ql^z)Or=M!=_^M@xr?zDq< zL>^+ubq#=S%Ufjun~^6G$3valp4z;WT?@|o{h4pZcaV7zu=88&Lt7TyzdwUZpI&Mw zZ2)_2iLml`eT?fmuBk0EH!4-&x;jf|ZlS?=$ zskh^Z;q9#U^&LDo5@GfXclX1tecW#io3Lk4yp3i$LqXzbEk%A!jyr7xu#o-N*tQ#a ziEm3w$FLPndpLW^1BIU<+{a8aoD(g5&XtS&v{W7i@5%(1di`6Ij-eq$ER*NIFzNX5 zT$Tkv0W(-Qka^rxl9fe2TQqo(gMc|>wzQYnC+>)PPk_3(5UYPZ^DS}@w~wQc0e+n1 zd}@-LTMWmqj;TkJ8$4kdbU}5P^)MS9stj_a4VKUH;roQ#UDupk{{4gql^7Oe@~3mDU+b#D@>(0JfT(N#HRN@F{=Z?Dv8Z->r1-H#tSl=FRw zBxAXqTw9jswpQ6{XYX|oVf35a(~4B#>=z?2QR)>!w(7A8(5+P=l>#y9B{2#`wJAXq zw=(e%Y*>2L*eBY6MxHd^It5PjqPOUiNHG5nTSVY0Gp2fI>#LRw!r6X{m^Hr_Giuuq zRpptt$JEbCC+je+-t>9%a)H+g!II6%IYuDJ(TcK2tN7`pV!u@W{&@gs>(xYj>Dr{k=4Jxy}5A|(1WAZ62dMTOrhSyC7a3BmT;wWd|I(+Q| zvKS3_QbDd}vQJ&18E;+W)>JZMk%lclBjNQ?O&;~q(ptdzATOK`;jtmwULBf(*od z%AO9txf|Ym{aTw_-t6d~%YVENTx8aX-{&U-aaAN#r{aN^gAGyYPOn=*;v(U{uK<{r zp9lI#cM)iNvhvTCT^lYt&MqoQa*k;HHq(yd!1dXW%1Q}ArC-;K$Ud25vu=vMcW=F9 z?t@Jn*j%WjHA-MLFk8i$fjDhBtQL{vDu5;9BRC*PBJUPu1wZ(XU!c|VX7_N5D&QF+ zJ6ung&x1|@nmg@ZK8-fx{)5K}w~H(K!N7<;l>xVOU&Q0ba<4}+9Soiev-CRJQ|?4j z`WGMW@EJ-((nW!KCJoOQaX6Z)@i5he%k*s&w%4&r3Bpx|u!p)f1_`7fl##%r0|KU{ z|4=jz4No1|y4QHg$Gl)YlR`{}(Q{ZUF-RzUbK{<4$AZU`l(QL_hR+2!AjCUHP!P^# z(WP132?!l!E*biSbu8GK^X73#dDK%@QMpleYuv$?<{HWkI8JU{yVlKV6S;Jhv7;PQ zmTGBhx2zv@bDV1D&K~N`$eN+XVl0v^>HQS#GB60xTy`-nAoyg4Wyb?3!X*#muw_JK zV;v!)h->5?puITYT0UX?cz3?KRd&R&)I((bAd_gpVDv4!`deCCfjZ?MGH(t)A2nCq z8psG*Qoz+@`;fDt{q*PdUg|3~zqNHw4UKxlk5JT6A9>K>{~7L2+4T+qMLm3Jd67s}fe^~(oTJ?smp&!&1Q#c@gN5_apB#*=g#ol2uH}d(yeK|N zi*F3FDknH-sGph^zAC9z={F^!B-PfVll~boxuKKAgkwd(PV=sYnk7pHuwmim?q>wl zsrl!^`tZo9xto$vBoHQ7ub-Ml4Ea95qICM15Vpi+l4o>_b{I*xTzM zc8!}i&)eDbTVEMn%fpELzKiE0`7F%-E7_C%f$&8skR&`8bX%0>_b<@pl)w+D8LWuJ z&xpol_WjESg!=$4_Ab@995d=|>Lw*L0=y6ow1i{V{%F%a@Vy$rV?teIV&U-nypJtF z>(qwORJkHJ?iP(YwSuu_6dl*{^4g;^ndjp2@o};#xCMy?jyVel$|fgg$h*T6)_YPEZKaQPw;m(sM)Or5NK=k2?t zD#?Q*9(d#oc$2BV=(v*@fKb2+6AheEU2&(s)us;*!E^tW3oeF<=D)Qwae#zjact32 z9hrH}HNC;M&iaStcARPnI!>wI2ybM!`>zT)z9 zI1=-bwStO!bI9hg2i;mZU$67J9Wt(iX3qG`tXKt=_I+%2Ue6AbHgLsHZ%hGqs2E23 zeTJNtsM=IUE&#&mbU6(@NWDb7m(u%>>j$^)X4+Dz*Mt0eQ&(@exs2v(e@biS?4n6> zrS^yL0Dj}hRinh73AV${VjG`Vl}5_rI9_rU^e79IQi_H<7gE)4RCF=-BXCh7{XQ4) zkh}w@`aqgbzPxN8D7}T%UX6(%rd1>EnIAr`GIQXYyNeU7_n5#eF^K~tq>o$revk!n z+Uh3FE9Cjmgqa`*q5rM1xHPao%>JKwx0(!c_q)0GY1WR`ZR#{yb?Y}nLAxsUCt2QC1IzD!@eh0=(Fqb|u88WFy{tX0>R>ke;t zZT|M;VKd8;jvwC7wwQc=dVTu*JHPe3f}RVt3FAO(a+?wlig9YFwXkd|Zt()FSkh1Y zA8k6F(@lbMIb&VRof#rPx`_-z&+Bt*KTl(N&Y3xvw}lu#{@ts^=C%=^{#@C;J^OKA z7r!pE7j^I5ThiWT-kgL_l8ZzpKE;HTQS5vNzXr9N;Rb2u7`olnXWu%FtN+d|_}-rm z>gL4JHIXT;C0AVFFhUaB8?{vUf;5N*9>V00b-tS}h@}WX=%b{TU^T%2IG-qg&+3%) zIl2U$hB*#ndPcl{e}1E`Q;NoqPO4))HCkP}G1p?%sL5%5J*YHvZ1z!}$|fZPLN0w` z!nS9-b8~E_;>YcD>_LM!F{I7z&9+P2VgI0M+{5YH?`Y_C`JO#GX^!(Y{m`S8OByf| zMwUIbL1tE#vcJDSjP(Z45BPcm$60^cy=PLEs8UeIeEYUQB6j518}+prs1b@|Fl(T| zHx0@YF!i@2|9AFFRi941Z-?d^onO%gdLzo}YE5hM4>&@}IA}o7@1&16=M|?PkmzPQ z$kipQ6qS^iH=`E6)snt+GW>#hH)V?M@pXT^8ob<~Szg(C_H3QoukR=gwAkkLX=mR* zp%eMy%s{n=Cvgp>_SD_g-@Ln?YS(FYpEr)WwCP*7{iSzyw&f3#P#m-Jb!lnJK*NYg zrh>??8F4f%wpo|hK3B9>__f~g#<oQ1qL-dopZ@IlX!AUSL8yGxN21 zt8dr+uv^z0zs+M`GI%e7WtYUx&q{pK#%5)vWHy*3@j@Ulj#YQbq~OX8jhmC4=b1s;HkZz0$6s`Xzh-~LAzIWPLQAgFzq zhW=(}J+C8+$NvThU}ERJutA+cgXDFC73VBFCC%%?w3QIwC4S4p zKkoFNJ$u0KLbq^p^Q%X_g4L(qczU~M;kO13LP>D+++f-qXnV7+BQ1D_752~a!l)Pp zM%D_O+HIslw<<-u#PN=noy#$&$*~AZ6Yyv>OTr3FEB(Xp{XmHlU`H>{Fh*;7LBFWL zY~PQ=yeY|` z;0jU~)gkCvonBYFl4H>lax~8HsDRp>y?8$jFx^T9HoTCPYU2KHm6dNf+Cfs1^4Ht7 zqlPtia%%o{s>ycCs5jTg$aHsZHOQy+4B$$?^`g=ghr+s=f5zWbwDQ#RPs|$;Wz~SN z8BpW%YU7L<-T4qN3>Dz7+>gVGii*CI9m|K58ptmyUNpcofq*{_9`}o%17RFqH`UZ^ z+SjZb)AXLaOwTI4DJUw*cH$4?c%k`@wfItBB%RKFnjX8Sa4 z?z%lOp+vji{vZuyRGPBsDJ@Rb{9{5a^93gro^`A&s&p8>gu{e|vj~uwzZsP{_8A}+ z_MW^&y(T&k1~|L$tm>O2e+;A+h$@C_@+ynhEs>(?J_#H%IJ`ZY(kFfcq|K#|a5J>R5Nq-o{$c zKPKPukV1TlcUjOVbBQs2Fc8wE^db}a;_)rjgDm%cRNyW=x+mRLM_tt^M0(caZj1z;&Rk=ukL70IT+$NPv#Ci=(={> zHdRW&3&ZUdZy}@TK5N#SnX??cEBQup8KWjIo727bnRvg5CRKZZj!m7Mh8E|2MfCyj zV4Hs?$$fP>D&Sj>H_h|$!CW>zwMcoobDGYzb?YA4y!K};NaPy0#EcU$tm-fdj)2o? zZfR+0oO;cYlarTkoF%t9cSuyazXJpLOwA{TZ9Q`)?9|~cCXVX;sOC;AMD(}x*7N6T zi1388+>zIB1~o&AnBil-?A5Pay#`1eIsyD*Zevi`J3ReAE6*XcB6&`>%%rAN9 zD=W6HCx_#1+R4Q;NJTzo(m%Pwv%B6$hdmqIdy+|M$wo@PQ)nDU_Gr;mRW;)SBk(%r zwC_Jn3&^SPlV5e%{(Oc8gdsM!`>>Bm%>-s!2PTCL(z5;vu8wv5}6<|iX_gKxbV86R1XeV0l1 z-EsKh+3A_-{2Fl7sK5I_Q&4KjgU@?0o)xj=i<5rLC{C%N1jJ)jkSQOHRa9ol`@g-S zMsLfpVOhhw_6?o&AmH=_Gfgv{GyW8oo_W#7Z9k;=rv3WF-j@heba7^V!cQ)^uL_FHVS*=(l7(0k^IPcZfkx)vK9S z^=<`G8}!jhuiY7CS?62buVSv=@Zs`8!I*Z=-THF$v+8!4L-pO-xoxv6!$AlLE-DHmy})f?Gr9r}H>2JUPdRsf^@k-GSWi(l_Ov6Zh>m$mL-NTpYfarl@HDIf92N=WOfw$Z)%xlhV zIsd|i??@VYPS|gO^eHmajb~=n<@}q;+Km(x)|xeRE8g#PFNnb~>co0fR_aEEzD%S* zY~8u_dQzug2@9{*Qk{w&Cu-1h;IbfQ8~Sa0QDzO^kF4$uv>~asOf{k%l@JM#$5tIW zY#=DgxA-y#OnvHJxjskcoH=z$6C4j#D@rB4EC^!0-kRDqZ2g*=8o|!Av<_#@^Z4F# zaGTVPjpz<8^z8BC{KEA#+DVZMiA}-c>rU|VEzh@Q!S*^HAYURKqy_w+97$8+A7fjz z{q<|Pwa*VF&wKkVhZjcGt5?5XJxeoVdoUcs2hKc$PK+KIJvu`(Th}9e`*tHgTg})7 z!6Dth4m#T0+{}!pZf|vXQv3u1%~gwvuHC)Z6D$gjKl#Ua!Yz;)g!t^^eC+9V%#I06 z$YF#oMl~tgasHHpsv(z2b=IV89X(w31F1*@LHlx1>7&3QCz;2F8b8l2c5+*=Fbu3_ z%}~^=WeC@*w`LXH$(*H*rFf7)B6zJa-pyYjI8gR8Xr-!359zn~BY%zOioP*f%lI|C zYjX0O@WHu;{wPVV!-ZOsq)0-pFh7!7o{~~`epw!fMS`TQ*_Q(o!x!|xf^`X zV10eaYR3~rD-~Z;eFf_e2G+B6wAF3`s0DB{lhcnZMY_b^r;-*^0;Mz6Zevf@9H??1 z^D@05L)!6?qXPeyzqo|wzY#BnL0B<*bn61@LkdWIILa`wazFqf2hq+jWx4(OC3y}q z@Nmnneo&^XedZPlp$ux*b?DG@njaQ;E+p)+-py8xd3!qT62J2K1XjU^vT2ifc$Bh& z@l|}y#(i!-yR(H$T5a4)!U=@mR@0k5n%SR?K%!)Lx7M@&)N`6)Zi>d!sj`F?rU5?< z10~Hfhx_h99#%to#RG3{?K-Lx>PNH-o40JfR(fwW1jtQ@?;z%AwyTMwMr7L7gcp1D zvv^B-Yn>gq);Yp#$8Swfr|!ROA>;k%r-%-VyBwq_H-NVGheLCDZM1YVv$l6*Xf-_> zn#ci+em6-j2xttDwvkF+W+uaEZ^5V|VjV_k7OBmn7NuCbn;mhFDr^(NuIK72Pc14p zM5QtYHUfxNbJVCS7DL928M6=q^N8b#4OmA~f4l}`AwSj_`2|{Mn!FQP^P&OlR5x#U z`q&Y;89FQK%U(+SEr81vv}UExqBWEO%^xDFiu$A-Fo*pgLJQoYW5;aHLs9lqZcA8F zKy7u{{+VQAfUZeFEe2Fm(}pSS`x|^-6#`NB{atQnqL24`H3-uIPXb0+#}QF_Hy8cH z`0%jtBFrG>g2%w+HS@y_+EB?F8?N8RIStf1d+D})`}UoBm#Skqj(?P~hBgIyyuo)5fbM9G~_*k zRb5Amv%S}??!FaWw(f7fIzY4MkWh{n8Rm4r8!mwqk*nyk&J(+i_rKrbeN^W(@m&`d zSq+%kFK}BI-fFKteU9bNYs7$bZVztwy(jI4)Xj?g62z z!PNuPo{H^tM?^#sG-BK{+%Vim8in~Au00Gt_hCKmH9{hKFW!frLIRW^_Jk(~#p3Q; zaJJ7JvcQm5I5crW3HchS5re=DGrNq|_crX6J}j{xR4nD(1KL54TN^2%Bxesb>0aO1 zbTiEvzm7Re#{Bo=da=o>8xt@t(r{%%qBZe};2xlvLy)H(@S|tXp5o7C3!5nJ&m^7% zP3oxi0@=jANy41wA7REND3qH>w`O* z70`CdG#`4z{*KvEd5YvQL0DKo!!S>#9}N*a3hu8hl)>D8dFQrCok&5|ea!;J2M@1a zRlYe>#+lRasdyApw~PLV_;)gp>(p0zb?JJm=;!N|J^J0$Xwhn9V}<6^_P?2S%tG5{ ze>>eavlsgJ{@Utrn_aKkX<2A&pFU8zrDluZm8ULM)}-d9$D0j#kdpPh@aMGt6Fj30 ziVXhU-BV^z=Fd8Sl0gG>szLUu-ceResS*W~PQ&g?ipRg5$-m*_9@So))ttT_K~!^_ z(PpQoH>*ugh?fP#c-*L;v8ru7G9MzN0MwsXRL_kvW>1|QzmCIj?sv&YY(TH zr@838xI1l*uDXj<5jbw5ycgh_^m(mX{;34t_Ng!0 zepaAJ;APf3ssJ(YLB>lO9+3S&9Dv7lO-)TqM7jd-LjAq#aEW_ z*80=5P|+KKy^H3RAr^38doW+nk@%Hbap>Hjseg}S1zsb8S8*Xd>WICLtSZDZ6#KoA zH`X|54X9P2$N2u^hj@@^pgEGe_M8|klT(l#7{}R25*Q-$$hqfQ*(ixJ#&~%!to_}Sp-)jCpzw$3GLa9!zrFbR~cG5ys&&0+QfBOvMYXkuoHcmWE3;4 zNfdMB`z6`yP!9tL#3AQd9$E$)LR(Of+*Vs#qi~GHMA2dLF}~*xEd~egeSFC~QS5<} zNX`pZk%M@~;FP~teV--75M*%cp5tTr1XKQ;v`rSj)!xUO@L*Z|Y-$v5WUe#D$*Fz3 ztw{bVer)c;Iuef`dm)i)g?OeNqKk?%QN$XS4YejBciu@)rVj)J)Qxl_iA7WN46JQ< zg6@UZ12r|(Rn+I%>_S>XE9iV~MnhwQhO&OBK6<9Kr(?ayGpTXLS5^?wx!8z2YfTxFcufB^$ykyA)jhMf>eflS>& z9Ln=%CI7)|^XKEy6u)CH5!z3u%oFz{{MSHWYcl=xY9x z-Di)xyhRF$=F^Hs-mgnJ2tEJ5iE?^6Ig}{L5_AUYnh!d9{S4J6iswl7Wa+SI-YLh7 zqknvUL67cpRqULaN9x!dIam5WyF)zT&xo{#ns?kt`za&G*kM8q=|sJOv*0PCphbl! zV4KXkw6db`c!(8@9J1Yqn)mA2Q)ayhhzAW#5nvK;`~61q(E>hBm~jL6PXeZ`;&;$R z4J0H}ZP7k!5AOQU%hB_BVju6XAN8NqeGK1JzHH++w7|3Fm`y7eU`hQ z)T{f3rpSiD?v%CUavy^Z^m)<)*~T|PwP=bG?ELv*boPUU(_8~BQV}7vFi^k-cwM5<$Y1M;W za=ox{7nBN%3&F@N5?Bqa3VXL{BH|S)E5yCxG!YFnxj*^X(q($35#EdpMwyVmAmVD7 zT+=p!W_dzzv8nsD`-SPEMb`Q_f`lGG;So(p4A`Jk}&AkW=j;@F;#T zaIfyDCJ8p@d?GvZ`jaQSk+nU#RiJ54 z!mR>)^>FJyuvSUG1vUV}0K-*>o}mM?>D`9X?i&~fBIaPUG%D@;$ym^sY88Zd7>vMY`K_jN&&u@o(`R z0ERDHrqQ&64wlk@vDC%s2mv80;?bi>8Zr=YiRnPiGPYl#ah$!;@?HxTJLcVJ6yWe9 zG10_+*vJ5dyes#^v*{Rb-oHQT?G0=wK%;Y4f$J#XIHO8OigEs3kFs*G6b?a({4xkp zaKilu4kUwF;0r;j+q!e-al~|RcLQ(P!9J`ZdYtD3A}6{p1iz2A{v!(Y?EDuwRId3C zA0EOL&`Et`owh2#F=C@^00Nn`6u#84WlQ{I?*lJ#;6~IhUcKq&(`Fu(zE|(+l&yCg zx$c=)c!&1u&%M68+wcI#?B6S-2+W^=M9Lm3WE0q0s*X22r`Mw&ZN+Y z0|L5vtJgO^#fFQ=W0%_fbl=}Pu%6-X@Ry^)lEYg*?h(>jP3@RvyP;$P=I3vx+P_bu z=WQtIi4st?VF!BtM`})4zPxZ0p+kg%zvgF|5R$KeGZva+#O5Gsl z1##6dp|fyhP`$P~_Tv4Jk+?!5RWx_9`J{Gsc0owhkMV6LTr%C`TA>{A=Jl&7C$*bj zOBa$dBT_O#2x#H)?+678~gT16B{A|FNk(_DkS z1`eELSF^j|H?Qd;7}59jZNIVwBtvrP*XNCs8ty~LE19KCXOX-$U`MUNgY6etQ}_z% zO{sbq?L^Q{rN13OWnw2hTe{3})!HM|Iw!qU_WRqlap2S9yT`U~9F=+PWpvv+JFm1~ z26{%O-(BGukj(&8Kek%bm)V7I#$b_K)6#yfTqJXw*jZId3Tr(qH|)G}bx`y0vJI29 z3PZbX$YAQ_I(*nLUdR6czUxEN{->vSZF2mu&8eGtkRsd2)dy=pQ_Das!FRo2j* zqb=5pQ-NlojEN#r#jmBpoW!skk)Mgl`^S%)B(T|yoQY7F6HSs&IEWq|xwShuEAzH_ z+ecH;-VZ^gdBncqlvNQcVZFV|dHQKl| z+vK_t>=QB&4xqG>7+Oa6uutL9`|F{PRagGjPw9Ik_J z192VoKkiz`y<16jA=m@@tV)lG;BC~!GVhZD0r4i>F%!T~At;&ssJ^%U{WVvA*dO-# zJ$-wdJHO_+4Aj>j6K{(uJ_j9x3^L8At{9iTzEbu$wN@n>ga5Muqq?{dD$;)_i)nnn zhDqx~D0-la1`ZiAHr`f3wAcwE`v=EBR39*8`QF%HVJYMazB_QK_lRb;DJx3Hnl#NS z(MZzh(fGrj7mt!`gB*07W*dHDg~F!Hr%{ZLs?IMKI+Bb;=>@Uwu$KZ|`}M-LmiqQ~ zoX*?e{EJ~v8_jEBzo2q()$>`e0~LXwFw9y4ZqXp#=8R?CmaQzk^X%C^By9N!6FL+8 zu--QL=GChjPJgrjA0d-(fl%RO?*&N$4h|)8vgYW-3PC%Oe4&pz#4!(R+h+5()Znau zZ1dBPm=~RO)p-4*XVaD|E{;9%dH6-kF8P)o`3IF+?ept1<+54Czf^i+${tp4p1+aO zY(F!ZI#2Hl)WA6x^z7XHxW5wXYw-fcD?=hQ6?-w zb$V9r>}ykVv|4d-y%mj;hOe2p*DU8$#x!q47?Y_-VNyl6r8s3C5`q308r|v0!T2D( z_LmI{_J<*=;?OoKMbf8R(JC zM~uDKYyQ)Ymd@ro`?*-NA6a{%MWww*B4-nO{4Q_tJ0q67OLhZMR6e>TR6IydHoA% zMEojlHjZ>#(%{C(u7g9yXIX5jZGElUcZ|}KDVnJ#J!@`D-W<|6u@fZIVXymggo>|t zRi&zcfLJ7XTbdo(uHQIMWk_sv{T$C1-&a&^Cs|ZleVm1$At8<~)dmF3E(6&CQojGO zs!zb3Dca9P1aZ`<7p@9`JjS+911I`hv^3a4>UZA^73QDiC(78KBcP#c!E~ntF!A1oKy=og=?4xD7!SjWM)i`m$ zOAt9$0@l%qC8dj(3O7M$*zB|Am73%7@`!h$**wXpS28?885DhS@n&)S;W^B6{A5#d zr}U8WM^xNJC+D=*`M1}5!r9BqeyZIoulqK`$9r8)db`Yt(Qjz6xse`ltC$q^jK~(L zR`aeSUvUm<-OMyTU}Ct;dx){NvIq~TLLcycO;R=(j2JiP~Y*(B0~pBcz%9x!^I~W{SUg`xUl-;!Oa=nBjSz}L?Y;wAIw%s zule=Ns}*lb~Icg>1Aes=esJ@?~G zmDsh19K5yyLgVeC$CysxfoS^;O$_m8!)Pfo>S{;8W@|@IP}lqK{TnFmPph)__Qpj*-D9qQ3`2) zZ_jgm{)+GUEw{QKB_?BUFQNP{(+1dq2EF z6Du|=W`w7gK97)9vuN+HfAev_(6fnl2VSmuCgQ?yPE_!uqShZXQgLtkah2?n(ulb_ zuSe5GjwAPqJOvJ>Ey(YMiUyY2=Gx{VQYf6`&6@Ez3uM{{M^yVg_c0WLuKXi=E*OtOl-bDk$){z*f3gp|5SVmByvkdim z;ib>H*%!|49HlwAL&((hnAd$(Bj(H4t(c&)E#%tPhSaIEs|Wim>qtOZKGzpkxr2wK zUT+-q)c>KY(Hvt^TEe+3za$J!?9P6?OMfWZjh&~Jq{Jj~Uf%AumhHk|3y9D_$`;+4 z2;v|Y{p$1Vi_}SZvwIcHS*f9V!7$zIw^Pl{Q*{pww+v7*PhUUNYFBv9S)2tlja~c? z>RKuvw(Gm$(v_ha8u~BaMyU$R6#8cPpz1VNlIT;uk9X!`7=wM#CQOSu*eqN+Yl%4Cn@@vSQlIo6MhebN7YxLC6 zGG931*p?TDw!uqy>dnn9g~{vvyq6!3KlV`hiOnO&mkJ65KmUCv3Re_8l)X$%Or?Jx z`!hguZq4LpyBfZRG?u(uarycb<<1u8j>p{EZCTcO{PgK=uY4RD+DE==i`nD%Z~;nq zXnL0)vm2@Qge;DWL9@{>qG|3O9fCK8sSoeuSYEQJ-@2OL>RShO+nEuwLOxAp!q7}p zEyp$$r=Lfv21Gvm@$Q{+kn;HPGZk9SG~w#jTUJ_3ZYq^rr_3htprn7o$@A@80fH^+B_UVneelyihKn~lloV2>(g4%S; zm#s;rQj*PIZWuOX<|UqO9f1#i^rDOH_;A=qMZT5|UpGiz-Io+Q4$$zlw6yER%ho@A zKV?zKzQ>PmcJ}x1Ka%k3>BCWb7BA+pp&W>dN!JX%T4Ja%eAAtaqs>SmcN{S5rw_QN)#DeS_TM$dP72Mv78^52n}BAcvsI9$#i+IYUz_H(Mro)C&&US9RhV}QwsWF5!FD{>2fbo*&JtI)RDj+8if(0wD%$Q}je zxJlzJQv#cN>3OB?D%2|KVXI=HlJ^2#2)Sfaemd0Br7}>sv<-n6&=+@6(yM zNrLR^7viEmy!uJl(5~*mEfV!9@uOtFIlg#3X|(JrM~LT1({}wG{kmCW1DK)!Z_pzs zscH;)bM^U(+7AQ1na7HNF+QBnU>QMu!vc!%1i0)8@FKvI_i%Prt}`Gn_C|w_4%}|Ta`!n)vfb)ss)>ReqX=*8;5$#B z_GmwJ=#F3UHSK43?whBcOBqV!P?=3oN_QfKhMGU(t++IsX1GC6cuIex;#iDd_d>?OP_nhY6pZgvQ8sg}CIxE`3d*&F|xZsb3UV@5s>0NN^JqlLw-PKd zN=Fv53Eop78^W0`q(uzac}~QJFrtBg66rLo7W`gGp@Zv?yTxV+k^8zIb8R*~s;+&e z$k0@kG=8=m6C6wQv#!n9^|u=WA%V_1I&1u!Zt>`!{ISQ~b~tyA)z3x>?nV+eH=R#v zPZ6GpBtj$?z{YTs$I#h}CI`e$Sp2vb)*;x2ON4rlF}fOWXfUJW48O=8OHp<5EH}UW zd)mMdUdZ+J@?Ar^@Yvw|W9cJ%x3Q=Vb*S1hbi5X0oIRKct*A z197DAFLFB58v6nvfbqLGw+n|>1@^SD)9z$4J<>ejX6Ij?QYB*>R^_XZWWt3YLp#jm z#uFW{j3U7WT;MsNH~%P9drgm<-4En$m!1@9-o?7diuH~UX`dLD-i{MXgfI9=cM|3t zf_}u(rQ{USVjT11ur7=qQ)qdHeIg9=A~FPNy61~lE6!3Hh;zqteH#|*{%DhZ`hAa@ zYh6**;Q+~JNr?J7SX*1eQ5+y%`dq|DJ?Kaa05#KI$4>K5B z=u)aI_oR$et{qwXqJt~7vSF<0?Yh}DHP;&t^s9V+ZtSt=`ja1g>(pUKw7HrX2td0l z6xNW4X@bE|-q(?6LHeT6qsPDxbVpH5Fiqd-9v(4$T1~HxdL%P)j?uGfL+jc1AD!3( zw_o)tc`iB8Z?0?@fKsR73L!gyjD7@8ai!(v)^<&3<@}gK|ctA0~X@+50qlK&seng;f66uMCxY5mYnD^BtPLY|;&p`w*z)yKAnwz9eophB269D(;U4w-v#@`+F(JUsddG zVM{%I`ZN;q#>gBrQ$d0!U~%dGz6#(-7ql0yFtuw_f#KACm5vTcO|C^5Tj%`Bds@wL zEEJ9+JLJ^FD1JP0z}`Ap?v0(QGFBi$qol?AIha-)&P6{cH0rPB;kgYm-_I0TwwcII zEcPebN{+OM93Ow_%iRa`?tLH124FLaeE?GAuA~;hJa8ruLI30w6ihT3)~;vJGX>w8 zo;y5Z1`WfqrtK&=Ek-smNw+azInTDgcUo|>D+>_ zS$Rp;Mja%2tyqC>f-XWBae){0^=C%y9uQxsQr(*8dx=|Y&dPD!t6rCLQb4Q-|Ngvr zDl?DhuAa)zSphO;>$(K{pnzln&W<_T$Anhm3m+O{OhS6jix)wB523*jS~y+_-@MaO zBxwSoVrx46adY1&QZ%^Z0zlX`HnmDFU-;7Ooz=dI$jn(^|qUJZcxxVMGPp`JtUNdUTrVjKUkL6CQD&#;S*( zzI=)OxjH{4&DKq6vc`nlpOvR&>}B2XesJ(Eb96MOR(i0mGSXb+qQ?Lo;)P$5Ffq%>`moQF;Q_2|*~AyZ?ASg}-F6W9stVFu|NQPdVdq4C+v7{+#XwVwFfw7s-k=RsMEFkL?4%9YK-G?%URF$LQRDX-SQ_2?%zKK zrJwiMsSTSjbT5YqG4Bc#G10%4Iq2v}I^5J%4q9q^zVFL(3u4)aT8!J*pT+-nY)MY z&X)c#kRk{YV{+iwUYtR~BE0)fr+@;ZkcXC=w{C^zw0IeGAL1WW8;6csXph9IfPx=) z<~=Tw(OoDvhWcoL>bnt}vHG|d)bBL)`ln_W~yU<;>;fShlb>~vk!=i0NfE2U8k=@laa_!0so?n^YZP3Jn)KP0jNrmH)htYhCqnp-tW$Uo&p_9`LR;~3m zh}A#1%U^AbLPlT@zsK`nvBj5SvdP=V8cvrfh~=mZnMo%qo904m5pIhXowy}b{&ycW z^?cU88KFi&qNP7s1!hNcf13bB3N0O1Y83qe9Q0m*c@c^%WN?h1T(FQW`ehx&OuqP154LbYtL+0FhTPL!ZcmDZL)Sg!8@kqK=RP)FK zj~K^$-+ zJehQN-g1rLtDs!&)3~9o*K?N4amd(a-hODil@I3)Z)u)DIrXxtdo`!J2+^Y=tVKmf zh?*|9E|et5yO2HsI*C`rw|HGucMa;WYo9U0Eu-3H^hk`!QnBDc+`lIq+-q~9xlcdx zq!KNDTAt!(ox|NGs(Wr9F%u0$C?F)nGHA|XcSqrU;}}fkJ?efOmH%K)=Dn1pq(|_A zHTCuApu73#@8MP>sR)uu7@&lZqx;!5K^{^lt>SuIy3$W&sA5UVMhSC8dsppqF=#a^ z#n5mUyYzqBRKsG(0BcgnkI7M@d!LO)6)__vvm4$(nzuOob+!$gNuG51`gGx@>i+$s zjSsynGk-Aev1x4V()hSXH#1ydKNehA;pXOMc4@hxNHC{cfrGm9_H8IDL#}5}vz3{~ zI>SWDqtI;A?TC_(>sOq|j5FhFaJK?x6Ru)lYug{xgHp$Z?*)0pV?Fn3tOJMViU;|z zE0rV?x>=@PpQ5K6qO7SoyI;yr-^``0?#cTi6{I@~PbaF+v)q>y#fA&DHY{6~%|R(* zsp&y@q>>&UEz@%Ou`9VF z8fd0@3)e$BW8Q)Ru_agrFK7&f|2?N?Oc*tVN+!d!5dy zDk8mVLqOb`YTYOIHQ^J%MRJg*l8gsWD#&-VJSxM6U7{Iu zuiw#KTDmlD%jY@cug+Tg(j@#*$Z_xA6|)>IlOC2D`qy@og!dJLD23*Y15PAVFmR5z z3e?>(Fc=M~l`gPKJ^FXtiEm{#KnJP(6&N9b0%-D;gfYt+m0%w7MB zn=Pj2#=n$Ok&B7jzU;!hH7(cE-EQf&6T)k7wpoD#=dh?)VQ4~vSU{NojJo(uYonqhnCV+)O|{XAy0wJ^0s>bE+#hESE!S%EfS+Q z6uiG)KX&M@ZHLkPJ6dVFe1;Zch4A=osexe>rCG5M^e%V;w|uiK^Zy(jzgwY$M1qAe z34aKgv3d{7^-?Dzf*~jQ1Rx4t8l?oxz3I7mHZiYFyzKfY&&;lt_h*U&Fk`A)g}ih}YPZ!0 z!-Npb3y(?-Jt*yI*0pn0p6E>ZTlxmtKapTKU*ds|nW{X=G{>NH$CG&DuG38dQ_Va= zW{&K%+jn`T=}M(ck3iZ8h4_FV3$-r@BLw{`BHX!UfUCq@33ks@@qw8(oYS%HMK6oZ z_1;shs}njS@v19-Qm7UQIxvvSV<=0kqljYWmTDhsp70>EN$$a^;&w<%7r-r%17a1J zTMgtRl=FCL#3SO``g-EQQCZ0d{dk>EGYq-yTIt|EsES zlt@c~(8j{`ncDDC{SH(spn0DcWoYDo8=*IRZ^i4HvL58-y;O^Q^zH@YF*M27p)?TS z$E{m4u!b(z9Z_poYu3S4=#h9=FqhO;CzH;+0J#i$^hKm1bi8$jKoUN&UzNSeP51o; zbsB|a5z~xy97NuCuuv58e}oB|j@|_3b1~ed^t9E;cN!YMr36jCCf!p{D(YE-TTX}M zD;H4?XE5LyWmNV2jih!@M@pu3LC(DkaknB)lVmR#wKA|ztr-=f@uy@$zv6H8K3Z!$ zQ%UCq1Qh0LAKnx_VxdlfG?L{tj546fcL8NVIOR*n#gRR><|N;#Ja>HbklO=__7DAY zOONoFiHl!mM42au*;k-&)gH$oMq+tO1d-Qx`V4aD%Xm~J#O3(iVSyDD=G>& zOvKTRq{P~j@;1?Ol$c-py;VV~i>^YyoC1g4*=SIzkGd?y_y?1F3Hbrad}D4Or~}o_ zH7Z9R{39%N-@mm|HTqRlRgWTO&p2EDU6$&wEKejF`eq zvi}BLqk%;7&rqqC0}oGU;nRy2P93Z*A z8Y5`@=hzh1AAL|a6SK$oNt!;|(|6vM_P&imr-BuKWz-p>v4^ng`0@%5ub70; zzYzt(&Nz!SI-|G00EI*6S;c=ESTJfCYu~V6Q}037%%XxbXGNz*;sAV3s)%qn0l~2+ z?&aj1HC=%|@HpVg5D)hOmWz};vVQEHcl>~zjNsY-_NvJ(W?R4Y7f5H{!V*khK^_4M++k+|w^mk1E5YdP0 zS@WU2@?}Z3=b(<$)bfApCGTX8fhk`=)d{9LJAW zj~uaU89IHs;@Gh%b}eIcc+Q--;&W89$|F^Ue)sEftC~rt|896M z|6ton9xsTein{uRJZIrGJ#0|hX!z-+kKud`MQxw+%l*}UfY%0Z^-#;a6JSLPeC<8MEIj%wLz zrOWB)=+6!-7CVKM){uXK1(Mo*74b#6}uQ4~~t({3z(zC;m#Vx5hhq{y{ z98#B(B>6x@ON46E`qbU~YluTy_+L?9e7(N&H*J?v^)vg$^oy`d6_wxm*tD~1Oz9Im zdhp1^@e;|`Q?Mmr6F6Re2aj65!}+X{^3p8x4!6+*yG&E3q@dJS{^7OM$!T#}D@mvD zc!p8V^V$UW9K?*mz5~9vtv|kh?UJ!2HlEcds$7&E)Z5%lU;l4L*d5Uf7{}t39rb$5 zr4LtRxpk4h){T2;oA5B9_*0gdVu-@#-e2C>toWM#r-}xWgRGMA1!wf`oOtJ72hSm} zbs_n4T9ZpPT)W=h@>sn&oOP6H?!v>CZ|tsTMJLN-L4$GVqi1fJws-&7!eZ_>aE~}{ zW6_&YM{Y*uYxiuVt>@9^Q7c*peEy<&PDx6{#DMKibMe1dl%njQ);7nq4@Ol^*a{5D z=!%Eo+@>WsnqXR^rW}kwV@=rIO&d2p1>SIJK8u(~)<<82dkI$ta3gl;;nr^Qq{$U1 zH@#1_+75c*@Ba9-^Ksqq+13De@2+e}vh;b+f1cGh)R&hnlFz2?7zZdv2&^DBa_;2h z=|23|rB~|5{*Qx?=E-HMOJhqgdS*mPqVRSHi~RFYL%mmvaG7NcT7&rzyG;7S8>IR) zE^nS6Yrchf>9n)6IXmfoMfE`ls@H`XkF3vsLfzebyE8>G&FDyH&xHvV8BY}(7&;ju zoX-x&>*iXuZZdZKS+^P899Qt8D@pft9yIRCl8@-s^Fe8wX8f+YuiXhOi$UE4V%!TP zo;NClZXB@%Db_O66}3|I_4^WnyEi35$2f%X-=2ZFqPb(Vj$u-VW+Aik z_9jYRU1NaGEUtXvqhxst4J@JnMi%I^Wx(Ouq)Fm_e!*V*;oEm!O8=cqfdg_W9X0FcGmnvJZOV0% z+YQ#yu~4%N3g|a@unC+L*KCLK(!mWw9vvvYxjTHt7Hh72`f+74igxX4nwI;!zCI3r zux;fizk}`z#pqcl%q(OsYbiBTK-8(S{#F zTjdnehQ{U|P`-5Rn1)M75$R&x7IOoInT_sHtE+g-}*liT*l_#;I!gPF8JI)y-#2eyS& zPNE)a_gqY{Q;)-gG*D+7%Bh`4LW8o$q>T8!`K_4fhgW6b^lhVa{j4_l0wHoyys?h= zA|QFEQ_PVMH{GZg)?y1}c*Q5A4?ctHXuiNeO*4&GogqAwXEI~TSAa)i?dFUcqp2q= z1cvOB=N91}8$k{Pc@0AS=BC>O5e-irEb_?){|hrvj^dvG{x0JvZJ5%D2Rpv^xxMG} z2%F1mdlKVG(NH$hFsKjEFRkbbMw?(~rj%3R;hCE}Jyt!v)L zt0JVF$(aS5A`>WVR-&edCb0cdtEjVkAS!G|AvvsVnlTHURruAo_=S{SC}4;`p8xH< z=Y^F#<5T1u2*v&A(aBQXyM8VRaS|bq9JAux!?Izk=X!vex&7dU#HLNv1BdBeHiSQ5 zZWUJ}q?a&T7EHS`ua4b!ie}b4%Fc$HfgPULdDPPf4<3l8zz{R1LYD^gi=vq(kp!8j zAZAlKyK)Q&vj{eqQ{re_y&5)ktbi0RZ2E~zL$JHFSJB3PGYc+zJJ@^l{nr)ou*e+1KsmbRqJwhT$TZ&e8JNV|@9XtN*$`wrxXH@c_i|i>@ z!%3b@AK$<4a`Qmc*x}1KvY1pUiHQtt1;6KEdh|Rhska#`w69E>BqcYpTWAlR#|Gv_ zzA%yyqYIaYu}|)@^ZVgt7Lra1Dq8i4xj*J_n1W+QOh2~YuUkEM&b$T7_?jIDnaFma zHt?ZLW}4?Gj`aI4UkWYft?hQ0)abzr92KT=FQzl2jDQF`!+S_5tXm5s)kn#k~<(SzApd) z2mBYcuEzww0~$nxKI4kU^XGte%P5Liw3*}>XYPE*SJ^ikIZ32Qu zb5z^h;3AM%z%CJ9g8o<^&o*@rI0fdomulJl3zC+$batP;+~&`#P_vqaiHve!&Z#iY zQ-h^9O0GdG1o$if4&EQTd$JfO$8*wia2O1W2D6KMFB$~f_HA$cpCEvM7%?;or>D6} z?+l!^(^)%t@s-;se5vgJ+ufrs32i<&Ior&F*;2HS;>YuBXz^FjC5SmQEO0XzP%zrs z=F#K_Ji=xkk8_^lC?`*K)BJdoJ#XGD5?_v{dq+#7CP!8rXw0F3T5@y~To-{Pl+ZHT zHic0uw|?n!bMGC~saN;;cdp>(BG@AmMUVKmIck#cU&o_`?BN~?0f124n+Q3EP|QJv zqI!Hx?I~jB(`%Q}Q?V~Zf)IRZHjI<)UxTXhIflKa%X=oYJPX&h{xKJTOmjpKgOn?3sgeQbGy4Q3<_&ONRPgzIhVuQa~Q&nF#-(YpQs zQ$qWUFG#ul}I3Ex(f*_RoY;>aVjKscmDsNI6qvpN~6 zL?+1?cT_D{e2QlqbM9O|xIEK*<};HoRdE7jI>)7$YXcz9?v8|0|6Nh&e{A`%Be!~# z)I`lhnrJmatA%@0gjnTvUe2Y#Q(sBHB1ZWE4hIpP$zi}-xwTqbOeO)Xl1A3d`ELV8 z71&V@ACs7PLks>Aq7jkvKb!S?GcY$h7pjTOB;y2w#OSWhiWZgYBFz~BuNPJChu(vW@A~UEP3+O{ssYC2Ff8r3SZ9-4T=iYPP9r{ z5Z$S}pc9~JUOQ?|@Ml5o{QZ5->Me`67VY2iy~2#9=_JxCPH(}o(5*mKrA^lvK72o@ zv;ZWK_}6EBl*s6jSLW#1%c7#9>a2yTDxnjiF7DocVxC#vWLQ7;z~`@Dh2vP5TuB&E zUA+CfZsHo&4T@_TBPB_Fge_VDc_U=uW7tM9QX6O4tMmH^ zw-&?BZ)Rp<8zgc~3;*}z_ZZ$M0QFwKf56_(PWt0yYlAX;dwL%^qZ)QUU%D})*ueJw zppX@cs+PSEwN}MP=IsNruI(4RX8VgE<9qZ6$0<#$LEZ4_T)|@MFZ9yH2x`LSY$_ed z`g@o-X}~ZX9j1MpwUMZp&KUYhZm?nICD3e3*;N(JK(XW@XAL)6${BvSzI1Vy$D<1u z&s0;mo3;0OxzXT^XyXNu|KstL*_hjqVO`(Wwm;@>hvA0?r?{Dl-WQ(s^S5tvNrZ^! zG{WMCe$8U2LLC!|a9xPAePNWBvF7clNsHcl7diCzu3T3$X`tlIl8nhyHTv=C$gC7| zfSJ4EMVUqU34Z2{N>;XaZ!ypktw`$EY`0&fh7^?hE}WUM=GkehrfcR8DAdIWT6_p_ zM4t)Gz%oq*#3>Gae+`8rnkaE}F`d=)=8i48ANN<%OW|X&uEV{zV>2~9&Ff))CrkD= z0-|2yI7>^ZnZYSc6D*p4zcitL(EV2U;;@3A>>^fc*1S+}{d0TsU-VP6=-AcC^`eSY zRmM=|z7LMRmoi&ckZ2!Pyt_p+w@=P#v4MVWuYM7;%mW6!YkblSPW@**D`CfctVl6O z`YR(J$cMT|Wu+%e9)QvMheIq9WG1aDd>BZhQe^&(@gqPm#>dYfa_1WO=Qp0j1p+p9#Nr~XHFY>jG>kszU$YI zhC^l)Sp-iU*^CG~yOfqTDsk~x<=Q#s@sU5-BJQ+ebG+pZ(|(#xJ+b?^xAewqi6f4` z9wHc~h~15IzA4ewy*RgFahZmwNIW+A7?2*spdf*`XJuubn}UtWoVldBit?ou-2$`| zT#B5BHV?~p$~_VnyL6L-FF8wKc)up7?RZ-g#k?>3Qbzonp)032M`3nntI-Z;Qj|W6K8=2Z zSnP((!p;N{{`ytI(N6=78UFmpvlp*ixu26GspIL1hZQ^U$v)3o^t)U#x}Z2y%F~yE znBUVs^XBNm7f4(|#}vo)S?#fgBl8}Is2_W=E+L<1?fh%KT*DWzmV}FQE%b?rlmKMz!ql1jZY-C!-{}9DQ%Wu;MgTiS7 zFRprV*3kV=p|#h}kj-dGL^d$>IirOFuU@_Swfa?IVJt6Q1h29{JxvSMm1|?omxff8_kyGq&wh&hJA8Qb(q2}tL6u;JmSUdHK7Ila z2E8T+dN!30h*kxM|LY9YoG^!oMfTh{->yEkt>m6Sv^R0D12GgUia-vb66 z+@-@8vvuJ@gk8RNluDaHf<=DD+&*U-b!NZaFlEsfv%a-?iu1-q<{IsroKmCxIp?uW zn$4~C39rVar%t@o>Nb{%@PcbQKM^%7o1250u_=dr8RUnk@p4s{{13Y3m-J+$A;yx-cdfB$^0V)U_uvXEJ{?#mq@ewrtQ)}<_V z())p!Bt%6C7%dFrB_(^JqgR~KGKo;8BwSj4!M?_I)8_b)rtFk6ciu}?jF+>tRr6i5 zZNjheIp5!f)>-}0VVt~ftobTt%uo|jmq=7q>sv{Po=B&g;;j8<<1NDXdqwrWesb#0 z=a;)KdjG4cs%K;Uw_Mt8G680*pC}J?TC;NP!Jw#;&bb8h-)gKHHGk>xpddXC{WCKN z>j|(>E8LndCU(QeiA98UT*Sun)&*PvEgMCsP~ZOjd)u_FM4jy`X_*Dn_U3jHD5@|V|GaPc-it+{VAMKjF7ECxO zkr-HfRPA=H!l)OoUo!|o_1UcacYoIrzRmAh4mVU@tP*0ZIcl@F($ZC{VuQ40I|z~k z#pVHj|E}zqf8Qmida(z~>m+t5^wZM|E8d=mM&d-WbELlwHZ{} zb%d)tsZI-iK?fpcE>A2>jp&8XSWNCT&6-~%q3Ct1XUy<~>gcHPe3xDkr|wr3d%kWw z^{$bbsxKcaI=#9uY=)+SWv<@4j$1u*qk0!?x-+FXRI2HjXOujAAlc zx=fo#;DmAGl(e*LKF3ki3q>_)CKEV;P!HboT412kSz5lpo|yzpU5H+r-|=^yl#<4T zPu~aqIqo&Tp{?cS#!=(amVZ7s-`0MDQ*6n{_uFkxlx=!XpEZ+;Ydc(T)dwL;eE)%hqo0mE%i z4*Sv%uYPhSz%)8&s>6h_9|99x4kot!sJocd!LlmV?U7Y-$AxLZPtt$fbEBmxnw2%P z@a*jWGpc|6ILFAigu~l5Jh-sw&!4R4O@+A9Awy*WZa}dQD@h3wL$HkOp?c?OI+O34 zobT?`p5 zPut}t+jFENk2<;dqJ&$Q0jf!cmSGl&3r4?cnq4#EXmsM+V+TBkd6nOzi+J!jj~6y) zlwL8jy#`IIF|bTZm>QK4c`W%*L85%F$?4}+H7uXK^8zCrUi{hAO-kyyg&|&%{>Vgt zA@9-JW&CeM$qNg$-GL$|_0Z#a@r9$S_jXix^ZIe?syi84G&_S2hJC%8l;!MwxiXBt zR%=_SihgW=(|OtrzU#-U?|=9rbYYwcgAIeqOKdzQw6wJMyIh}?p03HIMySs~C=jj= zVN#;6UCP)&I>xcj6tYYdNbbdveIRw)gg?z81H7fbf6sngd+`cB*Wb<=m3c1T@*e5u31zx&NcCcb;}tNu^nKl6>Gc^*A|Y+tEEMT;$RX)zO> z2GutpU=@O1QA}E#UlhdSa*}ofA$1;JtY^>ZRsJk|wpqff14rNJU?kt`RA}jW?(5*z zTgx?7oE6D?3@>-3{plgsMJ~bOrRTWGLabtNA^L*zm~L`i)DFD+Pb#7C7vmOc*GKEWzkL1Z1FPeW%NQvK~ZV|8G}6yK%gN9z9u zE8YH;T;+K8d+@#aV~%iR-DpalmQo2f^Zmy5ysdvO%UOFMP<*i|y5QavpIGM&!E$n` z8@kk+0HPfc#_|QF+@?OaE~6~P?sIIkO)ztNkOz=gH{~|;EFc>B$stH6zGTGy9qEFE zvuyt?Q>(5UG8eBY`88&9Vp~bIiutj>>6^D_g{+wz414ElvN}Y1`}X>2h6gOw6aY|W zt#g=AzkJ9B)o%wM>$aRd*~i8u#bWqN$3d_5Lj(zIk;5W%$`)nfcz%C-eHcFXA~g@F zO8TpR@;w{!AJng}A<$9YZ=P$B>5_^Hz39JMDRz0TN94zbln+=An<*O7@xO~|%GnGsS6kT_KVRkT93Y}v^qdE$DIcn*bu zB&_e%1^c-M2K%lLPCKbHLiwy_L+h2bgEqQt7=OFOJMhHM%C0zu%cx{LqHJ;cKlQa?_AFo95NY%y(}OQ3#< zo_B0)?EOu9y}gh03ypkiwD-{E4;$vsvFOv|3pT1le5@z`+Ad>(1B*Oc>EKS3`0kcJ z))d<_p~utG$B)GyET$g_yCr&oSbn%q)v%@nIr)Ky9u_E9w@*>*9NMk_l}B%jTTf{t zOAe1dZ^{DW9iIaY6!g4~=xFnV)bOETt`}MloGCi+`c+O=tMAga`gg-7XEZ*< zRxCyGIa!(@;DB&XD9XTKZ@f|*n<_$La&o*u!N&DQLyxM7 zZrW}hzeXGD##U9ehL(6LF0OW}X_%d@*Q~vKm^3h2$d7T{$$~xxU`;JaS-E8K;>ALP zW@q=I^VBUi9XfXMHhdtHa-z@MxBpHoZ_eCRKXFc(r~q$m;CLuIi=EVFVD1hmX8J(n!@TEDi>IX|cJ*=A z3pxIfK2P&=+e_;+)7)|pFN)YZA+5k8FlLM}UxDzv{+-!!BOqgmNo*-diqHvTQs$A` zt5mj+Q1(_To1P_cxw+F%yS$b&ZI-{rO6gyz*Mll#UtujkYr7P{mNtFuRCm71@b}f3 ztG`q?e3mKfe7Pn?=3s#SxFh8iqd42Y0wbgJNpx*8eRcJlq)OaUCt8iDf&ah=;<1Ma?X1RD&mm^b0 zG!5_^n3gty+V#cx^A!4GESez8$$44(;_SW7M}=SbSKy&p|8oCaE{!NR$dafILnHQe zZ|^BEY^NSSyZP@Y$};LPid%$=F9KwdkcQz>EG^T>m4JzF%qRb?uUtLmFLcN zJiobVA0W7)i9^Ki(Qd&X;y-p9=v02oxa3FRo~WMOhA;okd*va_O-SOzj7vUp=JqVo zOz%)@K^u32Q!4nq`$_F$CYT*vGsE<)R`rG(&LJ*W&DsqrzW?^E&4k^@0{|#7b=HEi ziVsGb(!@C8XeVr~Fy&Gbu+gj|ecZ<5PRsCg^mPySBQY!J2+X%+q|(}BoX zEwV`Y?5o9W(lkp01C`meiUkPdyCzupRc%;wA!DxY-&KD-+d_?fRQ`_9yncDt*lWTH z3CUT?6(?+Xv;n)H>$ZT;!>k0u=GBP@!SL?P%*?O#XimSpIFl*WX;#CD6aV5q4%yAv z03;pJ>oi3|ARWU*nJkw4bA*!h3z968dV@2H3kwivJfNcRL77#ytTy zm_Y%OIA z@n(+MjnXFG^&ur+O-)TCs=XIf z3l&o**1tO7Hbly(M@pP`MwgbRKVJZ$PMx_yO(Wdxz@25M4hwZPPfak1H2bGAqB(j7 z{;M;QTp`zUXIsq2ZCe)X%i6b4Tgb1u6o;TYV-@_OP!ym{bynK~suP#)x0qgjo0C)A zunbW{3FZEr@S2cigoFyTr+fdhg|bW7%qH|ric_~9+?3VQd*`A23u@zml1{(rv?-?m zgty}tmgWK<1_R!&28frD2g#3^qMITWTq0|QwKj46n#fJMN}fejWmsiJywBF$ zKKmH)VU>{MZy^!&xxS;!Nkj$T)Sq}V%0K|MwpZ4Rh}gQqK9jK5^2s5K_5;z)>N~*e z>CA%CcjSS8I@EPv=NyOBQIK2EJtugg$2Z+-_`26V_%w*17$?bvh)eA;NvVx%{aj=XTsrmqp3Tibk~dG8|sJA}qo7oc!bq_Ah@&jFEm}2^nu}?6-Q} zmf%O>Y?zB1KhLt5?%APE^5BtM{szuldu6pu4M2*aP+5M#RJA~@>C&Zw^Oj*dx(?Vk z$)juUZg$#%%i;$YEs+sP?HoUbXSAb7!dTY>7{}{G^XW(dIAX#3&b9EJ|Vdw>|W% zvS*t$Ts(Nts7PKlzWtv`7U9=jAB?u|66G4v?7Bh9Bk*_5j9J|V+#f#X{XT_bNYF33 zeY4uPt^MU*y`JbN=sGvZ)?O^1=3e9FSSUSm`Dk-hirDxiX~Uyl{8GK%d?f2;)V@V! zaobB5otr2#eR}#5H&rQg8|ToBn8w9kH&xZy6Mj|ugH|p#R==s2k0f+g_E{}z!7Vki zU`1KQrQ^oRhZ>D--m_%u6q7;Ig}T4(RDcL@unp)Rv-n-4<76ezv2S|n89ny6S5uhgJlnZV8jQ7^Wc{|r0d`0w zX$8t2gF^nfwf|H=o%-p6hiC2lF(v=%GIVp_{blW1Fb$SUq zmFLGS#^iggBFziIx&g3(DJ*nKE@- zmBG0Lg@?VT7dV?|42l1g(AoTO*NIN~`_iC=E7z_wi;wK_iKgdw+fVJBoS~*# zulB3CW~Y`l9d)pk#wznYv~%Lg$@9)k^d%s+HEYZRWF#6Mja#kG+xZsc^j}rjsmkwC z*4$JnwS&96-#TN|lBv33p`Xs*AJJU(ZDS|-t(}cMySV$nygyE_j~v^sA8+fB=~r7H zvfOa^zRt=X+hi;c>ip2&y0rd+eOpTMeqLs7#dw|Ib8@B@32{X^6UMg{KMYsWb)ME? zn*L80nGB7+#n#Eo84K06X_8;rd|TW8$VP-wC-3|Qv#FY<+mAeNdfz+NxMQ_)fy->K z$$~(<-P(e$qn%c)Bq@Y*vLxDzNr`F)Y)xYaEqZ&i_{OB^-M!t9Os~`Jryyc87iBod zE;=$yxmIh4yaWtM4t-t+rnPm{JyKcOwKjO0_lI+*BUh{**3R2NxhDk3X!?OTRdpLB zqMk-=t@>bd#7IR_sp6zf7w0f%@0&5bW}3=qHf`%V?(c zSB)5vzG==X?*+fi9X&@aF~)ljJoi zbvPsu=?v8|Ws4s@YqWPNocDi!1-0#G7=S-vmH++KTz*h5{Qv$wZ;e;q0??)Z{&Mg1 z|NTG6YjbKpqchXUP%MEi{eou)#}V|wg9pBX&E)=z$#0vndx4SBCq!go7!7mq2xS!n z8xCQtE5J8(4q>WihcVpk+Kn4b=Q1RAo*8Ut9H^WXk)Q34iYoEkpv=WdKl8b=(igis z7bHZUdGxIA)IJ8ZD{W4_3@@upnq)O$JAMx$qmldF>Wy6yJSad$IY% zPj0@(2`lb=5@WjsQmb+UNFARm=-bl7WJMZxD@QaMF88U3x7oAHB zx#imXDoN#d%FW+hDl`$ejJHsnhym7gJ`|#zc$%kHkXDQ0XO9#XyuO=mk#W^hG1C9Af;Ii84?KEuLvqTw$U!J$O(G|H@oiKQU3k zxuI=RM{pfCga)EiL~$k@0pce!<*9A5wxKgp2qC=N-SlHJED!Ut2Y_{H!i-iwQN)2F zND4lmEc$z(38AcDHMEW021+DM4mA5hCj*9X@9o=$%#67lE{Hg2Uaq+}XaINdO?{xv zTe9A$D%ZC8_AO9o2jXvgb)$%pXSv7n58cl6`d^nR)fHKI!b0Ms8XeLB^u**hTKP(b zBB6e|4@LJ{1a?s8tmbAA`Vz1xPx<#d9H!Dbh}0>O5l%1{|Fn45#nrRHf?@M9Xv4BtNC}n?MWE2M|&t}Z?Xtmp}hbw0Q_w^-4ADx%b zP<9(UW7@Mm(-1}qsSh4P5o(G)$D_JqeerEVQ|PnVg*aKe(k}8t0VYwsKSbv-1$i@% zsKt5%IC$HvZdJ8&nARucAXrDxK+7{XE&17e6O%Q_zJ<|)KHHo=#q-Hi;pi4k9s>(l z2xn4U1_QA1CPaKbgO#66@RDt)ry56#?adn<_?!(r3`~0%D<-oy^Do#7NSAufGc@ z3~emalzNj4_9HVSy>`d;5>#-J!luJqq z;X~mui^auCT$ldkR4)v?t0BpN+xwAGfR`q|VaY+6kDi@D8zH}*fKGy>euBReW&mh^ z$&TfbyMx5~Ko>2}chb|u>0I?X<#1Y>%dPT2%yQ!Qfv%Bvr~)y9Qh7Y}Fl%X{(f~bs zy%_+6_-F;@i@Yq~qK1%Zz}qy9EXEVBB=ustnrTCLFuf zQ~(~e6)%R8s3S%ui2CN+x0kF;aegIVc`L@gagT}=YPfAeF4@wk3f!VbO!ETl5Tjm% z==t?)oWN3)XsEI{TUWqhbUgFVuyr;CGY7^p{tWksNK=LvAplGT0TU-s@11i&Jnx8! zNgVY^_?V~MK9X}CQ)~!_%hYG%1^x|nuZ7@}>sxM^v5>!!7MaZmo+q3)(yKUC%IH~W zIL!$%BzIg4@r4^e2&EzNrpJuw>e{`h>vLCp3t|8wKtAqFCaf`WM2yD$KZT9Y^;u}C z;1Wgt0P`ntm|;62HcHGk+5NBNz_c%hh|w0MuI$3;rZQv3Amrj~pqT~+_`EvN&SgC} zH-p6~r@s;SAQ--w<|5qUWU4d9DNOao(Ao#Tiv8m}Rzlaxpb@A4n9cR~1~7-iMx-hd z*+E3)Yh|0*Dl$Ehn25|l9+h*=Cq3xLJoHy0AP*Vx@VFgK)C0e(3jJxYkCG?^)-Hrf zyZ(NUqF-kuo1laA-!n9EF2|HA-VnCOXZ|gwRQ6{j;3PIdh-qAxo%373hK!d|rKJQ&1%!38MU%GDH13=q#ug>>l zJLLUp#tr(3`-#WRbjJ2DG^eM!`f*?S?jytlfdjR2C~^7$T7nQq z)0U8SARB9LQ}ONK!Di1Pom@RvP?iYm6J!d7!yo|p{mIE=aD^ZZU_JVszZM0B>9zBl z1qu`*ahTsgtt7*j{EFmwHAy7YTlG)r0X~T!B6gUVtjpOPj$+I)(Spg&36yA2SM1x? z#Zjz!E5S+3rK=Dzk_fpeQ;&1eZ$ag*obl?!ee@L~k%bRH(Wyajf`~6-SO`}7+qZAy z!{iJXp;@R9zh=EBLYcZ5Qb7Y{Y7A#Jv2i!IF9BX)Z>-Mt?#Myz#nKWZ+Mf7@^7}E= zqimJ;4W~{XibDvfj--$T(ckr;E7?`7|Qphy{BNlHm2Ns5*xMIlleWQ2wWCE8jF4JlHjC?XljDk2Tq zLuM%@T117?5K5x_-q-#7p4aR7=dSpEKcDM5$8j9zah91r6ETJ1<`pb|Pj@apMCD`g zEU=On_W%2Xo?w)P5^YzB2Sa(np|<5t#J*CeHEU)exxzo9?cEy!yx2WNL(@*o8Y%w? z%gKJEFyO!KMZ^%?8O7=@Qh$y^+S;o-FjT{4C7f$uUxK{Q#D9@79~LdSW6Lh+9de;y zLD&yNwhMx7XDn3g0EKxh{H4SjAwM)+o*Nu?gt~vv&a}U)(=w@wz+F+~?+2Vee(V@M zOb2)hJNp(>6&w<%Ud>@m#Bd2FeS8qwg@HTT^n@_g+1DpBGIDYD)=it1KZ(?LTRM## z%>dY=3IE*6xu*q$tWQLLD22f~I;W@*M5ox3aeE}adXq_-J}fYw`giW4{^PW?Bp@4> zkst?!uUx)dAJ3rQj2ejYfb~)wi4WS}PR_=njH+HZYBQzFe2(j4+xhe6sj+MF^{&v@ zN`bv>R}^swUMBx5rUInX5U&8U1Gs_%tCo%%JC@m_pI)v4VHV~GonNPPOx*;^&MBz+ zy}g4lB%#{a{HJlv^d-}Wsnn;|8+F>s$ReJaU0Ck=sDBa~b7Dgr;pe6GtI$)YHdBaF zkHox8esbcAEF5dLUVfp^!~q`|=nRi~B~=go!&uMP6_< ze$~8edpbUV#LR79|JhQz?!7+kmXppyhl-a|LvFw9D0K1xWYRmU2%iD|`o zY^jNKtAGl%-NtZT^`{N5Uj3%pL+~>lYb%tp)2~$X8^WpiEU?&yQVgjMu~#IayOXOjbg zg@BdDP|E>UocKDm7ELMcg^WKGT8AYoueir30FIR(cC4on6Dfd1YjiA0Q>A`Gy-~-l zVlO8j?X#S{0*m>cVs+F2?7ZX6a$w+eUp>J5$+-waxNT6I#g{> z?w>g$H8s%TOrFdf$BFmV5#`!Lm6i99*F2SbRDS%JCHO9A zCkZiUH+;A>T0kBHC)5$Hji%3^?|FN>=ZhEBG@@x=^^V#1f6qEtZb8B?`CJm z-N`&dhiC8JQ=j1~wSX*-+pG*9tYguQmMQy`-+`GOKW>qnEj)y%3dFVG6>!u>Jl{HPD~%k@<7(b0 z&U@p~sR%!9;9E}6so)HT^MN(QDjv$P59HsK@FrB)oCfMlj@WIJ2WR-`oViE4lE!nM z#D@h5cuEWq-f~n7WiH=?iYGOY--U4iRkmnch|ImGf8D@v8Z#Y88SI><;DZ(*MgV)1 zG6_aX&0+$xfH(e$Fcg*2k|63wsx@QKJ4m`X9<6xUxOX0zx`3^hypi`P--JmfPh=ds z+>T76VChX}Av2ccpBX7d7Xn^#tGXApxoBMQMrSG(o1_tR!Ja7^C|)5eUFngqYtPv6 zLxnK+Y|9mOt3-KPdog0d@9&dmJpIz!u-8gLkpTK2U=dM^k;}brC4+!xt+xOBhwkCj zqz#XmdKW()wPiLr4Q5N=f{#X=gvO**IjlJ05OlbhIs)y#e`fbT={@KfC^it@+8uAQ zFq71O#|lB=$9zd~2Z|m6p`mz3ezAfzwA6L(NB!_6nT{)**u;#^P?f{Y?{TU>L>243 zcvLku^1^|iD8aUZ5hWv&kz-=U7`ev(FaOcNzRAKk!BXH?LMR5V;!jScT3v}GL|y(+ z(-pgsBS+%rs=)CV1=vc02^!9Y7HdkFa74EhojYViS2~~v(C7`yI2jG4t`tsJ0GpRK zRv0LbcdFCBEw;aKG(&k9+^sB}69N4;p<pI0Prv$f_)h1Wzsnq(R)-ta@}1z`tkb7M#9 zxqKgtBxsNX&=?dHWboPzaU*u+r)&LcfLcm%U&Es0?z3l?o|J%SO=>>xmC0{}>zM(a zg)4px|Cr8DI2QvhHYt@GKYH{i6bBfwgn>|1MT;!q-tdS?Mb$dSbma4r=}XX>n6PnK`{vhl6Z{b$2<$MNt7N$xKPH- z4HsK;3Dy8{}DU76<5)0|RKUsAAC zt6%x@{{4NX;21Dv_Yb|~q8h7$`Jsdqu`!uaF7{=#G?FsW4#dS(zw~%dTPmW1XsCfZ zFjp4)%H0r^ijnN2a|wPBdw3QZ;#ES(Q(Rt4wNbUG)P{}4#9K@m`uz*I+2DWZvt3Kw zIPax1?iiaNT4wa+VcD*dzSkelm^xHZeHU^)z1yIGrW)<>({Rb;O~oJF7%8_YDmg0=Ylu()lQ33 zlg!i^!4lTD?PpMLcoQUeT3!GeJmpwEJc6Yk=1fVc(X%i>9k==s zGYNwvy~9B!*bFPkRw4GMQ@@K#;hi%RKs~`dV`6T7pUIqlZ?JQzpF_^#LZNuonPyCA`MX9mp=qv)GaL6aGbITvIG;yIMdBUF@nQn}S+$kl`w zCGE|UW>qz8mpnmq70e;Z|1bfDCpqRecKxKh%h^txp^dB%SIq099Buth7d#HT?eX;O+QdAVpRT^=#xD_^n zNaIR)<~{fHosp+qXz^gHffJiQ_Dpb=_Y0n{?F~Ul5 zow2bP;ZahWV{P4sx*MwMAXQKu&~8*r%zff7nBm#aRdun@@AE()Z79~6Z#>cHWk55A_A9ALN(s?&+kET2^u9Y3y0({{ zC)nDCq9TTNvHBCi<3&E+-Rzf4e}*DoT^TOHJg{(K;7zKW%qMQfklc9fWw$&`4Gh|= z1WE#tf1*=ph<(aW z;3PQZ4~ebMAOCd~n?Y%ZMCO79m5BW@4#1h>>gWco+wAnj9SpjGcEQU=^Bfx};0TUl zs}OcnR;w-f#g+8*6*N%J6U^*!a~SPfCELH3*Wyt#6Jw2xTwM5WfbC*s0M`&R&;Qry znfDI{q7uEy;%giCLV56{Sh6)^(V{SF^ls1_esVUSC2=*_u?Zk zF1pu7vkD-91ISttu@8m9U9e`H(hjIDl?c8x5wmYKjEdUdHuTH|b2>A6JWX7D`$THS zoHS8|T+%J?|46(JEST)<{AgRhm^P%C`GRgJb*u z2oTz7`u1L2MB(m%p2syk2)G}m$0km)7}%bpcK=pdhtpHGp5+IE3##<-V_SsS$prZ1 zuP{0S?ijH39DNF4M+XYr;t*R~Td|OUQfd?J7rde9)lvIF4xGWv6jPQEm4%Nz4hf(S z4=9_VS_83cqbv}k1ODIZ%E9RbX-@4pllxus;zC%W(VU4QrouCQeZAyI({A5ATII=Z zmsU;I(OJRlEg&zz6%Jt=YwCJdzF+b5SxMZ&!U!<>o-Qu6JziWS=)r4dXJ;RzX&i@I zX7PqYyiiE1RFG@l2kb;s=L_c3o5yTn7{-6#6yq(H@|in#y1%_T`m%HJy%#T#oDKkV z1h30(_~$X|dInMl^+m}_LvFW4z>T?IJOJyjz4fy^9jn;*$t@H{F-&1oz~H#+71GKYGpT=#(Jc$ zz(HBOEMWvh7`X=tS>h(rW3v@$Ngv+7?-i5nUs3zsi@Ke+DH11Y zd9i0_{`_HM#vG;C+g$aHXG1|jr?3337fZ#`+*VA#jWIb^ctec{00voJkjVqtSv> zEPPDCw8u9q$2Hf!mualB)ZyR17C{TePfQu1t9zP@?n>xKig1ru>bmv`Id@LP)KKt! zrI8Ekhp@RGF@i88k@c0`JS$VdRF#wcBmax7_N((B9#WN-X1ETcw&UuEaUp75c=500 z%U_QUSnKtHxZE*F=M=9)SpK*vvU#iQBmXfA0kME#R<4ZsHI->K&Bf_H>FHZOq%E!= znzh2wBw?!yEWY($Lg*%k`!#rY|IL2@fAUqwf?J_JC*Qr7l@(7kfrd z$Oh;T%)ND>K7<7lL3H7#*==DYFwX1@G7hi&(WH}_VX)0rt$#EqlzJ*R-89sE_~Nm@ z{Xfq;7Q)O@l!XK$uKn)F{_c!I2+JuE(s3!-yiTiC?`6a%ii%^y^YdH>S?4$iS0j3G zZTod!=-^;K;tw4Vkf&gZ&|Jbe;Cz0(>7m8{2<7$CR^OU0IX&iOjYk4RqyUVQjX?_YL7kGad{}B<8CO+ig zs|oish!?H!*~r}xVI(f@-@e)#hc$v9418C`?VaA=o-{k7>yJkk&*SYno*e4euui$l zM(P^@{)3g{CjlGPg%x4{Gj_aXy!=LCPe>5@8nOR@S(*wynP@lN6o0^!9PU5KpO&{C z66WKsgqd?n%lpp7?NX1fd+jL-@#}uD^TOtD*S`xpp}m_=(zaz$yNIcOjO!LW z+68*a!dYL?@}yTUobpKT;*}W$wg2g~^)n(7EtJK{;Wo&trXDfl79w=&t4nqD|StgbKx;(<9aP?byN!MNXVYNH1h zuO&8oNyE3uwx;{*tvf}B#l_oS?cSxTuw-&m_n?SM8oyrrPH()f{-}Sx+QF@l$=P>p@=t457qq^j=w)la6 z3B{-p)Lj=%Lu&)+wsQ9q#VId)&wd$(gSF?aKcP?);%o7gdY49ah>gA%?cJs4z4GY> zT}w+OL%R;H>-em#kHKhlWckaGrc$QNAG+czP%qYNj`j*ClQ!PFl0?ckame zWgV^*%T8-Ld)Ri(k*+#so+s&zsbz%X1Sd;SJR;&D4q>0)uAZYD932y0gq=9ihmYY_ zb`(Vx%T|Sxa>t1^(}%CRwc@2#*UPFtOZD1aS6pV@?uW&85pNikkO@D$6n&N0zku>R zvF;rSM~K>y=8Es(Soi=;X-|rRQ|*Y|3f~Q6v$HR*P4Khx>K?Q-1T5MyIl|-tdRS(; zI#LUW%_CF2nMoI<4-9w8=>buyXBMA%f(T2x9{RLiL*S9VI0(h}vNJ$+kj!)u>E zHR&~xJwmiLPZ%;(nj413VHQH)5Gc$9QDP3^sDVQnI!!BS9(@Sx>w7YPG{GTmJ&p3PFJ zS35txTpQmg-(V;!38o!ZyWJ8+DOdv!uK%I&SLgSmf+VI3eG!xSZfc2L_T2$-5#=yI zl9A48&S`40rF6s_9oLp=)`!sy5t5A==U-7TE z(2JC$oO#tGy>Acm{z7DZ$4LxSQw|BdijBkugbN zLd~C;m=KNo>$#xiGWBev8=U=Y>2jg4#yA=9Z4d2Sz z^Z;1y=I3h^u5UxmS-~vi@6vwt#Zs)k*SY0yuMA*&AX80GAJJVjdwCjp7eoF zLJ+x!TH?^u+w%i~IFHjs2$M#xTEiO!kaF@gwcM?Ns zSR73gb}s4D8;@SQ%WHjAKMd`yIg&*J3tA!=p7Z?kX&3~{Ntfkfe2IouY3h!PISm^0 zKgT$p9X>v@L*i!lJ&Xk%f|#i>j*-3`9)2`WE8+CPbZh?3#~?AV+&4F9&a0%bJI_$WvsCX$sruklj;<^3Q3LMSa! zF7?heJ$b}N^Wn=}X>;oX4{I;L6CqcfINwlMncJuTasgsN@2)?8{^;^r3b%R8#H4;5 zz{xdfTlzk0!m3}Bp`M*JmQ08R@5y<#U}K`W;a9~zl6zrr>loleARJLUmiUE+I>_nv ziMpo^6tRjzmKRMW5^16aeD zv!6(_7U5Im(X#aE9#kw+Qf zpkDV z{k{%Xx!$&T)3;E5EJ$YVJ5pze7|uco_@TwjI{L5Oy|_D^eg1o22ijvw~i3zNZS(!G?>0ApZz=i_u9icp>rOB z42BXeap`uTVFl}#c(CHd1^YrKFgO1!bu=B@TY<{YXGXO9%?TZma;27LliyTFj_ejX z=S1~b5IeAbvd$c291R2Js~t~JJ$*}(E5nP!5-gN_iE-Tn*edekhbz~oaJ_SXb~1ZY zJCbzjZD4+WrP{DzL;Co&4RhJS5f+0XF?CzG5yq!7&vfC63%rHyZTW@`g>+F;-8~I0 z*J}0}HdjSWt;(y(LBUME`cF>YvB01p%eBFgobjBG^(#)V{H2qh7u)kk%NumH_;ff0 zwS|knQI;z=`*+Ik4@WZb@MG>|I(3c^s__gTu<4tI9pRKnO_5!_?+<{RZSPjC>6H{9_S6E#x% z_I%H;T(klB$wc+oiY50wN83ls?swlUyx3VmW)O4W-o5gb9^Y!a1^sOgi8YU}CAKM0 zbOQ+pGo`@5!H3RkmPvL-s=E=7{{5A@#Ru1VAFO=!o`T+Fj?b`>6Rcuy+F7PmTZgw? zMBcT+SG8PhrmcMU?hZk5!t8@Pn(IF*q?U1dn$I55LHH3K9xkpG_=_X&Uy!CCi)mP* z@WQef*4nsf)7`sI1Fz#%!l-J-?Y|ExPQ-92mZMx;V6#P4yz}n( zq4ZS%7t25~;^J11EszC340LoLWMd_W@7-u+EU&_VzSHvm&%GY$`E5v(AVku!_OXI@K=72vmTP)NK9 zu(+RN0WCESW_e`A;+;C<2P18xwclqMCfGr@H$*WZ$p$R4m~sxC7R+Lvb3_GXeIP!lm^*+$OHki#96b}&O8DH4-=x|$z%y_YqD1S@D>R4GQMUS|s@3gK5z{1*@qpf)A!5qQ~GuU=(X+un9- zIACAZn)mw2QKigK5L85iI49Yi{ai$bqq#IZG3S86s5lTc#xKarUfe*pKRB0IvW-bgUIJ^ZsyG6g(8(yM0jR(@?@%5)@gZt9DVwRHs;o~!Y0()(06^RIuRoIP{sn|&xq-qzWY6M7cfK+ zo*&RBvfi?5yNl@;-+@bvC{lb(h=a3H8#@-rTTsdj^v{mU?!bu`>dqRrmeu0rMfE3Zw;=#aYFwXQ zBYnElkmu_Jb;{s}M$rv)lX%i~+MSW9g)BtCaG*zBbR)nc__BHB#@GM(Kg#(zEZrp%Y}q0jIyqovvl^E3*ma6PwUbb*yL z-kUdX_J1!>4Vvij&XdouBAOLjoVw9tYi9qhY5s6HlbAuz08-jPKvOiO;O@v`;1<1J zb+0B^uF9%+tnr;LUuT&RW}7l$p8;rL7nybYzrMY$0J0?(sDVZzl7Xo3Cl2=>5oM!x z917IHdA7{+^)mjK&4ZF2K&xxBg)OS8@1Q}2aKT93g=`J=nDAZZx+T6c0h8d4IU>Qt z{A9-05QdZm_eCMFfY#OEQSHjrP`|u*emFkh{jgtQO$Y5+r1bzSOtsLMi&bhLaz|cF z?E2GgaM4poPOZSMcei=M&|60iv|$TMC2xi;?@$F%&TV3(*r5M%=pA7psy@QH-9bC4 z;{G^2a1LB#E+6=~S({fV_BnD&V{l*rAfiz3PCT|AupPaGSXmn|?O*)10;bxqCNiM^ z>pRWUeQ$N+@QYZ@&pV^{2uj6L_lDZp>H{k#6Esj23v7rK=p^}i$xd&OH1^0w{B z(Y-@8G$CRpM^ntf+}YC(?YD4-MKT4`OYMxUPyt7;%Ya|I5s;A%jK_>`7x&QY_DHx> z`p~1tjxC5E8vy4-?jYKAC&q~(GXf5!a%|p&#=5#YbduBuNk6ql$jk6wjf{;SDqIM$ zxEFVS*vjYL2M;#z8>#N}mn~DqI?`-{+T7W*#qiFcsYgB02qqM25Gd=DAv{{$(jF$ zu5#MX<+-$mn?Nej@RMJ?;1Pso-YWUzm+$R+O`CRm>dkxKvE!Zd`o#rv)vWtJ9&L2* zVqmNTq9a(3FD!55HIHL3gJHeoZBxmDs|q8IKsK`ztO9=Ey#4KgRQ*h;Fo>{f?}&v6 zO2v#w*$vy~ejbDFd3*SLTYQHF@>EZ0Kn3kDQ~3z1QP!`?lXjapEsXR$}OpDtY!Aaf;w@j7?4b7>p7wwaGXYasMe7P|^t4 zglr_!=r)Lr04S+~A9?m#S@C?^zVSsHJ!YJ``?=-QJ378E2w8hJTk)}+9Su|`99%fbNtfcD*IThNo*MPY&+=!Gj6BS2}CS@H!`h~Tqk*p;7 z_+nZb-Q7WihrCbtHM%xBnTL#}AacleoeH@_O<{9&{Q$0y=AtWyNgSJ7e{bqONKb6@ z;{l3IpbQ}jE{*1ekD23IfRa?~FQANqBN|BYVe$I?Cktid7j%7TtH0|l?fhX*>5JlL z*)KEtEV;g=g83L`Ifb0vJ-dsHjIg#55@NnBb--{gMC5ZNWCApVAvD)a`#wStAzV-x z=P0}^?F?)TAwzzYr(Z--qB?Ry+{~Et(0&QIxloab$G$Wyx)1%yMw$h|CZhvQ_}=$& zN<-40TY}nI`Bw2IS5XZ(zn&)eLCVvfii&xR-U(G8@7IwcDsNufW^FP{1fA$I4PJ|lNBSSS=2 z)JwTfy`J95>FaCa_64V--|T^GnEMg|fta=c-jGF%U=SsC&LUM{jS9kEi;pFk=xXu# zF+~aeuIPXGumdq(AVJKP327W_WA2m8#ej_j4FI3T8^BWNW(587efuYDl@QWM%gEd- zF1AXjU1A`8Mq*H`xdOq8!!Jtf1@DV;zBn6byNvm_$UtpucNN3H8$0(+9p0`>7gOsC zdDops(Ogg!RpQytFBcko0Ij5(FR^#@(b=jjix)~)1bUmcY&pxo4i@q!D>Bshy+d-8+5dH~aYQt6MfBB|_zxW3-vNKr|5CoF!_q6(H$F9hree zCJXx%NT59Wh)^_!tf`$GhXR#QC%jZC_0iC8+O~~UG*K)a;hZGhSO*Ek)9=Ut3lyx_ zvH*mIwu2{Tf-uL*?Ia}(s3%ChF&`c|;8|iJ|GXou0Jfqy2Z(zKG9VOqg687KA6l&5 zI99AjH})SmckPz0rIz{^(-(dl@GA3YX!o(-Wxan7k!-=}*Ys-g5;k=&j(Gnz!}TDa z6W3OKYRekt_Xv%7soSY7HvMl}SL{#>G*K0DKQ2OLO^pxBghJVg*QpbuK#!=52zmON zeUc1LR%-Q8Kh-4RD|xJPu$KIfq&RiC_kevc#?KNghM@;cy?S*fVmk^BQFu~?2;W%_ z7%Arm=8Vr^;2p{l630!}@tPdqP_t|rZdv9lG-JCq+GMylcaFG7THvtFVStiD9!Xd4 zeE$%9t5~5$pC_4M`A5GLym|SmRmM0v*t{Cv>)qVVC0!+zwcC9Q_mbE^@MgVw;ZswY zpn-D#Id?3lW*%hOx#|F_2O*8r*48dDzDhqVgekPuX0U%syK9+n;zL_o>D=1+^AKNN z3rl7(XG;~1Fy`;F0)62su4!C@D6fXa zgJ{`f%sKW^@od26#yCAuzTC2rq$ISLFk*~?eSEbv`|)FcX1&Dj0;Pu);EBkydXsw> z{{44iwEa9{GxJUFAjRpzzjXMBux~bXa9DpUHw?gZ3gb1lMdLfY0X#@lc#(v*FkXB2uFx7R?2@3^<_71-RelU zCrDlVD-neNhY7Jhip}XU-Ob{R$|jZUe%~Vd^vL@ypGyPzw6y4cCaNlk)X6hNNFvY8 z30)9*=oUIV1P1%(sI5e3N`|1NU{sX=R~6nB zJt=xJPVr}-+>9lb=gs^-S;Wcl)eNGhvo0=q@hp02{Au0xT26-w7M~oDiYcDq6h10) zzAT*0e(_@B{0`eFs>GNNSEJV1dfC`H6LF{FVRI1M3sT9Ql&76=!& zd|Kf2qMNg4a9i2nlZHOG>jw|{HQumU@9H#0p{Jicw)elwg^tsTE&h_o;Ze z&t8kmqYN4biV*_HTjoN9$&hdXB>fM+sNdNPoRIWB8*w7ZISSB`=Kh1%ll1ksz~=g-=%I(tN8^F3l%{XE0s{##N5H}252 zOpIO}cA-V3)Y9>XoI>!-2FeSuzz{M&enQRkPcKgqptzUI8Q&2?H!M%ZmQYFkNInBh z;*kk1B~kHa(ot_E9`Q7^PUKwoG&QU1FQ^2Pvl!B*;+df;C)C`_Y$x%q*fQfsM+jJO zmcd`48m4QgN_yM;Z>Jx^MF2J$-Gr_JmlnM|7}RgXB{l44V?3ngeAi4035{-<4^Iad zM||#@dA~NeOs7l#*mkAY#&zzlWM(xBIou_jJwP6;mw9!+!_pE4aj1Q>nY0)B18POO z(wh(BVuyU6XyEGAeR`pU(a8#j8pX6vg^$E&0*y5m_xorY`Pv#h|1q%4!WRRgN9bB$ zejCHZj%x<81JMal87#WmEu+-ZS!({d{GAeRD0ba@jH|Jp8ZtNXYs{ zIc`|+QD)+XGStMPlZTe%fF=Ey%IAYh6eSmRswlY0#EgWDBuoiC!u}xn{VzO%-R5-6 zy3yX?{x87?F3?e#S*y&~4ynCtZ`hBH&{;~NBnQ0I!m-qm= z$A>BWS)R|F^!HmW{v_;PbZ3+W$P-4@_tCw3Q8qJECsW<7>Eq8@2^=wmV4XrPjzDOX zH@BtY;2`uLj+_I<0cV!{T}P%RyfTIGp9jE#eqz9d?&uPE)Sxh7znq@2o=nUF#6Vl1e}tBMvVWa&=~cTmtv5H=eCij;{*R9u3xypG z9%mT$ERMO-%MHy{Up@E9peXNQ62f)2cQ<n%iUj~G|e*{jzTO^cZlr; z)-P0ZV2tBGFR%XoeLkd$bhmD?xP*$yMfgc^i|JLw=0h&2deQc#v7*{2lk6Df^t|GJ zc>3<+q1|^aRBvm!6*ouK_=nXnm2z)aKo~-R(2M#lcEed`151vCA@RWgC8M>=J4`H= znYPSULvq)!?t^sm;Hl`b7A#tq*qt#~G}e2VvSr7Db3jv5(@d1BqV5C#V#qx8%9SeS zn8kD*V}_eRS&pdQo2_19Q5jRJ&k_FN`A6R9a;xdDc8*W=FR0~(2Q7}6=k450s;iWk z2BOobs*Nt;)Mhf#A^eJt6;++;7tw5<*>#2K6jl`o5fjL>M!iz(g5f}!3%tM8-+%o& z3~+;V`h%?$Tl0i`8X^o0YA7X0C z+>lp)oHn8~aoX=s1AN>%zn%HvU(;>Z7{IH1YKKFPo@#1plw7^~%I|+ul)B7qi(6#; zGQ%g&USn^w(k1C`^@}|O|1=cPwAl?8BB1ss%~_E!pBtr1-)9e_2>$-*p?mPx~X zH#&6K(yvpjYm>_G5v8)fKTC6;n|~eGltOLVI&;*M=)S*VHox#uU4XxvAurfZZ{X~H zrW0L?2FwNa&vtvBzx6^z0uSZk>1%(=&$pD%K} zra5hXkpCz-V3l6)<1J@-&9yWH1(v?KwaXm8Pn{gBBhDAh8S(nH!lInvuP1kfmUjs=gKb^9=#LNAt6Z?V!}BqI21^1@shOPhF%28y=eck#1bIWj zg`aaLes{UOt>(#IN_`ezdeAvfOHxUZo1NnqpwfCOFfdB5Yp1$;={I`a{v2o?G|c=} zVphM$<`W!7j#?Alw$VT1r)zu1%Wv?adRkPZf@_GNbE#%W=S6n-_vz)i^^c5hm{+a; z9N#naq|;!jwx>If%Uhf|-=ycVX`-L!?Zltu)Qf9@n) zKjE9Yv03?ST-BNFO-%zW!*!qkds&`-XsBGf*44WfFRktN@2MxC@L0~jaD5T_qP|;( zx{r02j}X%4{ps?tokyh%vVYgbvE|sC`cq{yWo3(k_f>U#dfRg5iWSkDSDI*q+x+R= zI@48h^MoQMy97RhZvj{=2<;B6!BS7RSllD`HwUCYzfofGe9@Ch2ii?bO3|4+Utgt< zLd#`&zZp{f668&Xw?i!4NIWv%GtKgh1|7Fa ztX)n~L(hal6E7dxzEeA%bw2zpU0&8#X5`K@{a?B)%rUV@JT8Al_KU~A7~N4KG9Xoz}_4W1`huvjO4Pn#+fHK&j^<+j?nA3?> zlMqaLuV))>1>G=h4ronwH0b)~cJ$LnbLD#ZXN0avy)emasVVr^gQpeEas8e0cAfc2 z6=XE1$44&%;y0n~@sB@5vwpfe$CG1)@@7lzizBF6r%s)E=;Mtuigb3)#Yxq-%Z~MW zmoUY_`J%#%gUg*);Wc%q^C2nktn%_fK&Z;c^%rk>+PT2QFhbT35iq~_cif>r9{3+o z2XqJjjV1qM1=Vd27=>r*uEo;!qXywH3>zgz|G5LvSavtZPQLQ9Vj-+_60 z>|cC_%B{T`SnL$? zY>JAMa{ht?_Y0mkZnns&csW4Qd!NGSp#BycH*O5^4=LLLe!Y2uvBlK;^)g+ z4XVF~9@=m7tvtX;vyUqn@Tu`nBL}b16Yh0n4RA_q#~XJnJic5Y>}Pd*Lj!n5C+!A5}%BtRcJs_QPGYZsRO zw7-mXiGg3?lfs|1S!V3sE6O1X5raFfu@OI8)IZ4fOME%KU7`6|HTX60eIf8Bvj<_f zz3?!4_wC!i`5LO7aaayllq(Eizuz=FfGUes#*W=Kv zW5lutD@%SJpr{z4giM=9J^km8^X3(%>J{TEW5#@*p5VKqv2^T?%760>ZS>of1Q=fK z^!fTfulk$Po5Xf1QEsD!Wtop461tpLZ=uuX2#KjGC!FVLv#VadHO=dPD>Lr%o1DD; zi{dV(U#Y@oY6nI|_&ZcV8I6z*yN5DiH@={P4FwQFn6cc^F?dMpMbE!Gt$J6&`W>2} zS)U-V!c~RM!4LWmi>$rcw&TOVx01SsPKo+$DckS9YuG~-_ym;_tX2Vs+=(z3<(dsx z|C0KTRv$5wu)7$(Xzu>sURwtz4cHK2U}~Dzm@p1egjl#GSW_G)qc*;8N2_c(VbQiN zTd+##Do6#RzHB(aWmRnMrk;t|ZMVvO@ALDv$E`0ca{c?*HvWT@&hD$-cE0Zsl@hsR z+D~IkW5qYxrjDIEAL!BlArd7Kae2pohs8$janOhoYI8=C!19^CA9>HqDcbBhNxCf7<*oBW9($XgN-6Ii{YI)*M()+J2A9wW>oB*xYDzG!blrY|4 z@Mt(*HYiCgh&tf%!iw(b?4dpmwmxsVkI?n$s2??b%h$eV)du(U6{d}VT(OkwXzFBp z_qK}vZ_W#3e+>E)VW_}}NIdQ*otssy5-rWGD%ZHUC@dOP9%ll{SATwvlv~Fh8(JGW zyLK`AAg9tYDOcJjMX6J22tP4lYBY|Rc$1`?Wz1vX8QGx7rnoS0VHZwZ*V|XtUN`Z) zzovTG_KM4s)aAunpqeg1lOYy|5emEL4a_?sSU!Q9gNHuB$B{v`Kl)Y|*mRQD5_93g z-}$|36nw-C!q}eX#yZg&2iv6YE1tCOQyHKCHYi_qiS}XjAp?AE=I}*+H&>q#`<=V= z8HFL?Ewct4R$=3WBUYgb+Zj09AyP6swhZ~cC8X6yN`FiBR0*(1F^@zjX<*`d+xN01 z@!IDwzC$#^j3qDZ-0X2J9t>r4G{dlsemm(!<;fe_!F34p#y|bt9MDs8FKq>eA$v?T ztDYW@lX{f7x3GiLo8h}tx9Ur@#rdpPic7nI<};T>`ve~-K~IDoHItP;JZKs*^^en+ zR6j;AKR14ol)PblG+(?lX3l{8_fw;7di{2QcgD~|+y4H0+Tl?^qvec}fWeZ@Md!A< zBrm-=o4X^v@uUrJ4OCBOIziRTP z`wDgIWgA@b`73L%vEvLRZnQvS#j`r_@T(zlJIOkw>PzT22{8!DoD_|f@Mv8AT_s4R z_G>4nK8J$yD=N0`*ceP4{lUzaa3tj~2+#4cLpvte6jU1d#oOC=7<%%yaHPz8zUINO zp@Xf}303_TB*>%eN9G|UEkY(l0Z9|nfHheAi-@^-D0$?x33?^f4*=9ry3697vONFA z1@#f7%9a<+6+d72^Wn_(&{O+sKAX>2ofO4P=W)%h!=qQ>H$44oKKC49XSYXL*jxs; zzN@_hVoWcS3%5I=>>y5RA-MER-BoqOU{nkOL#V5j4i5WKKvCV(oc-6kFUb_^t?=}! zAi>Q!tuvwI-XV0m;mzuYGc^__KS6qihp!>8eUoiw5HEXrzb^65x28`ItQNA}6+ghp1hqI0HXa9-HCv%Y_ zFl`6fe`JP=FlU2defK?L*1kPvDcvlSdSqsNSnsgvPJXt}H+y51{28N8f~tXgn{O@Z z(XHE1{6DGNOf*-O;(OaqOLC2#?hi}>g+@+s)u14mae4O z-Dk(`x+P1ro;{1&X}EE{j9SKBXNdPhYKhG@MZEv-N5_+aE37tt-Ietc`Q zNLG^C-R6qBw)79oi(~*qMNayE%>$gegg6=)&HE$lZOAw!wlGDk!^z*9=fI&Wz1U^G^_- zxKIblf(Q_j#wR{l@!;cm^AIbEbxU&cX2`d6FT1IK)Di5CET{s1FT~Pqjk8S?jXl4fgllXV8F`6%k&GGT*_hn6osyk>2Uw*(v#C7xhs}hmHFz+PF)|al;W;q`%FQ%WJpR!a$ zcs52U%ZaTC3;_pV1k_VWX}^hTG>?EKU;{dLKG@?$9izP3XopFT2AaXqM{|z`CG2@q z(7x;8;M`w7%uUdb#HnIw$}oB)rI;9>H#N;ya+%EdCjo?w z6E+9aFG(S`;5!3-`kxihdAELgYx^>l`FmNn><147W`>YP?6D9wO&}Yzb6!}bj|IWT ztE=IReR;r`9<) z;Rj$@?AN35JX1(w9(88GfFXnR26}YpaO>OalVDJZha(}ZS)Q2-1I+G==}~5wQyL=T zFoG}Dvk^0^f*2OcI14Ft2V0Zbp(C0q7Ocwim^^%GMvrXcsMy#e%IZu@>LMn}e)@E5 zw&5Ct6Ig94P203DY|?t=K7O0H1@i_>N!+Z3bQ6RO{pZGCZ`=$F%an_Yq8F7UyZ`-J zG6+4>b4xB%DQYTedf}E22E4+-;Q;`kun#2_HE$TbUV5mzgS))(5~^L1-}z{gK}+Kq zs={2Y?$@s>$eG{2|McwF+k4OSms*bMjt&o~T@x7S=dTttC5#T^wWT`!Siux}VE*RZ zFgZW{s7Q_gMDI7RM-Am{0--N`iIoq9JTzbEop+NGhgrRz9ZZNB3?n1TvD>@b+;47( zENF)r;>UMUhRSk7dJexl9VvmSO-Nc{@C?)bzB3BWp4oj4i@|1pbh%jSP7|V5k-fqv z2jXESBqYK5e`3dCH6>(fB;|G=w+Ed%HJc}hG@fR@;(cv?m~8C9f@?uzdygC`x-4=Q zQa8hxqmINO0{tB2>Ar1t;2A zu1586xo@a$&=rX8g{IlsMg8V{grB{J%~w-Zk#TDnn5SU0B3AYJ{r*V#5AY@xoPe4B zA^z^jv>Ep`p*~G?%gl9)(XP+M7BMZqN25Q!ha@A=dCiX}`CXvEAPXOizTIlDX56@m z$@VD|n}j+IOtzj`a0^UO(CbEyP!zSpw12->?yYLfctXzr!zbpKp>NPdXl;Bq9qu-w z_6LazJX{VA!uq^Tl;+YWvY~Sh5nO=JXi>{f@H{4RIIyY>5#nlYgE~?F9 zUK!015po$%Cb3x*LCi#tVYosVwf)#3L6cThJ?ps1)3F9mBQIzL+H1C(Hu{17EzPCr zKE_9$U;Tl?NePknO7JtW!U7pOF~W%Rrj6^L_{108n>P#7cp@~ih!q$_Fr78^<_YG; zcKuo_c9W8%yDYvLdb4|cvE=zL!4FTH9DeY(tK*TbHrIDr?LGSngpP{Ovg%#NHNsT~ z3DGxjP!sHL>*1chXzzzRAdewB9yo;@pq)fvT{zc)bTrLu-b7kFlVBY%vvSi5l8Er=IX<@;h{ zR*DI6Ym*B$SGww^N(Hv{a&(dF0~<@J``kms>4&2{qa|22PC&HQJ0sk3twXq=j`z0rsv;N zNS2c7PhoN+9ya3EcX)0MuM5{xNNbwJ4-}7)8^x@8PQ!1a9zpyrGJBa~{}{x0qVx@H zTH@$bc11_>*7Q@skMlm}%bdTd5om(A2)WDiYO89)s{= z71sdin?N!|#R|dQMHj+fm;D1PNv@cpYB6z7KRiL^FRJ}|?9|}kBDI!5V?*rf&zyM> zF0s$frDt>)zY`8nsKkYi{p87#&dtkTvf-vZlcIoVV&OrTt$GQTdFMmN$;QR0?;3vV zS^z7SM_*dq+b-xW(oTlF#3~%P?o$3P*$HjS6|?ty(<*=QD)bxQjX0}1IK%bCfg_4f zk^Wu&P8%b3C=;-%#wd!pDJU3W75!UkU;DORG?zFcW7GBnYnD``XPDc$>Q2NShATmj zo2@cIbr3h^MQ;t2Uz1aUhBf@Gj2pXB#?rP;4+;#;X&~xiqLWzJLDVN2UwZQJI6}o| zadVA8T<>~r{I2z|)1Ntgr!9?1KZ@)C6~jHH!GD1Tga;@+bmRypuG(ndfP3+-+qON- z&OV4tkxi;0tG6a1=47;kaC9zbM9+1v((m5OlNnfUELFceCvva0Og9;!4YrDSNIl9b z+@)v3FVi%L1({;sFE!x<8WOR6dRk3knWc^EzV?;%NU{gPp8D}FzTQa7;oD%m%@bc&jg8ceq`-d(6a>{epVGhar7;(%!TA-3IOq%`T9@ z6_rO9P#GAZGDzlZB}&${?m);%DIMdouv_NeBz;x6r_9mM7>rU~HSx(RbHw;!f!>ZC zJD4U6R%x0kN0oDWio*K^YRbjYOp7QEopjLKI~BwWA1K$GgSX>y!xRqixy{*Tk3``X z#yAs>5&av}$)@Ueg89|;OA!CD ztHthCvp*FxR+|d1FEcctRdl;s&f1Y>(PEXTq<%tlwC_Q~Ug6=+(I%#M6IOM*oGr8O z4t)^iz^n*k2EVN*=>C(VS7DvbAq?c*bvNSCTwM+6IhTgt*(ymT$06~?n`o@ElV(?| zC%df*SZRH3PQ)77@5e8sOeHK&4ZybG9vAcZ^XDr<860sRAP*n@k})POG1 z(szrB(n{r)ty{ZRV$6i$;qz9n2f9J&KYqm568R~M7R^uzbiUOr<`p@=*kctoT?26N zNPU$;aHi;{&T>Pp6p`({f4_uN<4qU#j%DTL$t=;mxnh@(a39d@qo5tsqQ~?-6R6A~ zzFKLqV1b~b_+RtRas1|6r9V$Fql1=@rpx~CYt9;2i{HANdpCbaB*S1fFaWPoXq#Uf z&OqACRAz|tvL|~N6n`KcH}4$CPqBQJ0{cDm$FxbGN%Z$bZ}jsggYJP)dNDbMwN`4! z*JxfpEB$h1@738qz8tB#9TJy0mQ@^R(pU2{ojZQKZ8`EW18MaLjp`{ga8DCM(Nts^ z12tN%pIp9asp)`q17>7hD@#in(WY?QkEuUwphG9FJ7qUIje~2O(RiojO<-=2oR{FY zAoT>AVsBqQHNd;=QJJ~ygB6=n{fCL6{-KIr?=y8Gz*_3Rs$GkJwcdK5o4kK?Sevgo zd?)Ck&_;+xj+XO?#BRY*5W$OBOtYY83AKW^O>dLpN?lFxv7MKRvRO*q?qeq$Z zUC{Cp-O2Lh%N5u86Ox?!Kl7Xi;gaTBJx|PxF#$ostRiC0m@#wQntBI{QN11WudKD+ zl$^2ufuuv0(;G2RVy1q`2XwMb@dJ-V~9$jh}E{n4@$p)EVC)|bv9?(T$ zbhNB*sMc0R^xw+_^@hP7(*&a0!yc5M_L# z^P_(^?286soK@Gh_W5vm88M;4WHD}#@1SU^pa-aOge2ELd6Wbljl+j{^FjL`GB-qO z*1Xc+X4_PBQ;H zABm;kI{!f$BFfN9@+*FjXSwUcnb*cS^DOX#dRm$kpl#{J3aB@R6Rf^JTJL$fylJT{ z#oG>rf%B|asXcv~b*T!Un4XeRrBxxi=RSPzy#K#lVc0c^*>T0oxrAsjanGcfFau}v zl+a+)k0q#H?AooXnSy{6PeW*V|+CQa0J>-z{J=J)IN!c0|hU|!noP*Ige%|E* zKR#g=-0NX2I87Pdj)#`^j2X%SFZ5h7lWt+R7qL9B*}^UJ(|^6_xy9fozIe>S-<3Bu z6!}q&Vdre8@^&OHxwI#4wZDEDMa9hCyh@U;N@3>Fvi*u(gt6>}=d23mbqt$-X2ggQ zHJ=;ZjHcWYe-CO_zGEqQAE<7$rW8}buwxX(2G(2ibG{Hp*BLw}ERCFh>`$M0q0N?j zN>9H4qfU6>=M1`_-N6wQtw*9%tH6px$KNmeGRX@c;}Ah&-5#q%p)}|xmwLJzJ?ki z@%%r*mc)*7qAzL8H!V7l;z_GRb=7^j^zQ#v}UsvEue{gH1akIxR zyOiBJdM&^DKm)M1y0MuLyWI*cA^af=t-8v@1%s&d`)$t_>H~U#xr2N_xZ0(q4o2EzPgA&q+RUgCltoaZ4(w*g`@6t^r*LCLDmFR{23Q`;)E%svrth&My*853%n{O z<`J9{obeNzjk?%G9v&bAB&%@kYjpFu$XKPdE5br=VM&G9j zb1W=G+B`?2Qh;gjsc_?mC?u8*8S?8P!6`DSG)A2>aRD4*t-K^h^{A9CqDB^x6QW?_ zu;NUHbP8!djO0tA<+oP7n+fG>(=wvC`u3XDt4-;MChsWi0+lmTN$IS$(=*L&Rf{2F za**b@H`Qw}I7Yqp4l<4oUVb(Ypt=wE`;VzTfxc?Gx-0|$Ad^PzzwUn;zST2hOp|W7 zF3EtsIx<*CfvImtrwn1e)nKZG2(det8p1Pt;<>)S*x2}a+OD1A1*0k8DDR0<0dc2Z z@kWuS()hG6goUO$$#34>$U4iuTNaAE8m{T^gar0rris2vavRy9bN7!B>;S<1cL?hw zRY-u`N&U<{2XZxD-CSes_tVVaAo^(5#%2Uh+R%zIYz@ z0oM}OJyVqO(8z8#d|?aNS)U``OnNjqqF~_%s&{n%Tl}82h4&F@dr)2?Zyw-KI2f72 zBL*fx5u~P>i0G`8ViA#kAt`+GRYEBo8|wMlDD2NzpaI{vff zpy{Ihp#0^h>w<0VkTKb0wm=4}&D7i?G#`Wl@HQSEez1O=FdqqAAH@C2 z+A}-F2?vMHT_{LPN5D+vvqV5jXSq}Qg*#Ntj*H2wzVnO(Qbgmbc5o8t6$}VD_(w0g zm>Ja6){20TE-~hjJ37P`Nm;fgOT9hqj8PEPjWzWxehf6f!-o#tgM;rsXPF$@DAe$l z1KtEaEmL2XHqby?#Og703@8NlUV9jJav(Drep$A6!};_3v*)mT2}FZ3UFb?_8vDJvy%jaCXwG9+&RpDgZ>M`L@p1~s zKf@ddlY#ytBLqf-Dw92727)LU3lc|Kw0ce5) zs|#*z>I>~9=mk)ckj|=8Z>S%CI*!CeE-`0E+y$f{hhJVW>~I8QimjvadRvsAWWyTJ?v8n+cN zaUDlL+zvdC=7b>RP!juioU|MqQTtDvkQ1*G<3r7?C*NMJI_6r&eZ~N+0+D$Xb;Szg zdDyVX6O}J~yuDvB{%z-x=W}&Ygz@4k(f9V{QGy%4+O{ z39GnTEI-4GrOVI*h}Z$F{AZ4nX-PWq2Hr1ziI#~e%z+Z58hZZYR5bk-yKmH5P zB9sy)LWE~zs89|);>$7kSpoc+cX<k2f4YIUlnw3 zJubABjKNDzz4f`}yZoU)>pfN`O7863`PP=N!sqEfM9&ecOGl|m;S5p3b943boRb9$ zw*F}7#vg>zi?a(c<>s_cCRhSkAV6Y=HTPSnD>p848S$$}kAOpuL{x_`xYCGu^tsQR z>_)WOHcP8SjPQ`mBO?}!HvToyYm;7!5yrt2D3Cz4I67WHntAALGz`p+?Pv8$cy8S!6fMGH;N+Ns_?yb!I`vt@L-|udIwRrb_ zLs07&|K0B0W=*-_j5Dc+2onKkQHWDoRR;~!sh50v+e)uurTVJZ8Jy#doS7lp^d2K|#DBXhtl15JXt|*1es(Zw^=JTT* zx0F{@+Myn&Q%#r<3#=nHDezi+Q*G+jv&>Ws`W#wU02i%^rbbp{=@HXe15)qy2~OGb z!a;x7o`T^Aq^1vS7-(#ylDu`RzyX!A;{UjFDq`f7SWed@C~^RG-uY~rKoMU_7r|e4 zgEj$HooQzFfVz(G50TYE#fiE?&Hmu>Wqq<2c%}7zQfB6#d3(80tA%uyCc0Cbi#7*| z!WOe}FI~FCTm%Z%pENUU8IM47Rjki<=eQHo|*Bu3ly+;qf8d*!#Wa^veqI*d_!yS7Vc{qlK(Z)_Pl zeo$0KZ{NR4l7E-4UX{};+9b}<{!}1#@jrugj%Ag3OkF3(+degJpFVakyL7*yx>`?_AcWpcdIkYP^xDOH&wrh_PgM z4S;F1|4%A|nwS*E&s9}^v>_ar>>;+cJ#=71$hvUb+r|bW?DIrdMN-m=>!)jsb$!eY zB1%+Dt{3y)Iq4F?8rBwAj?t=5tYf4~r(S~&RUhtes=h8*RkmC=3sB5zQPp5-MufM0T%ZZ_-{Bv=q zi9TeA44t8{7Xd*4MA~ycA&-=nmcB>F)k|f_4Yqr8=zUJ(Qo@cz6v#hUsYZxU1$S?vF%Pflm`6cJ^IIdogbubU@JLnX$LQ2u#J zTj7w1;+^UE(y`)U5#yv5C>?;xlitowCQ<`4GDP~ zwi}|Y=ajYRqIW@nD~33UnZle&yRQ<)lf ztmiLZT378#Iz6gxRMM6@-MOn&qP}G+PL#2>ez|zSh5?LyX7bOD`tNbw>)MVI&ca#p zy(0=`uzE`uH1FDf{R*cL$1NWXfIOxaotol+R8GD!uHQUpiTK^ofKCQsc+-$TB{B(9Iib$8N#3vp-Jc@NOck-s@?f*Vbat}CWIid6|EPA0#pXNE8Z4U#47&3=+Va~dB>JV{ctHu4Z zh{QACiSvMnA{+;B3R~8!?x`q0`}^(=4x?Z451(fI-1&y)k&{DQQq9)BQy5B{y={Rm<_QJ?7nrDhe zPITjxxBX&0=+x@;$}eAH)y8Xm+V$QXeGG)0KtN%!z0kS2qSykiFI+op_eD7FeJuRx zb%QH$t*0d1Z|i!as>7V42BD9D^bjSaJ&tT!=QBBdajwvYKL*?|57YGR>)XY>sCV|y zGv~j^M|_!b=19ru*S{(pC$3+R5HK#{V0}Cpe*Ao6`Kp$k=K4wHSWQK&7A1M7kMOgw zjwg}I)=<%|olt&Z2EAADE6s@jrduS{a`F~7em-|H3S%!tb6LSW&s`4&m z?RZ&Om>baNHizocJKO#8?T6dsfB)OwtV5DlPm@ip5K7?U%wa0AP59pPi}cJ0kNKj26uO861^OD@KnV285$W*-$M9oF8SsNIWx zcRCy4m6<|#M66X)_4Px&7uG9}u$~ujt%U-u{Tew=fso)Fb%!TOV+Y4;%69qvcGH)i zD~^up+cxUQ{OQwU_J|QxLMzPpG>I646o%da8a^a5Wzo8d<`Y=ZR~7WqQ%sJN(o(qS z>66zX_PgZe9W8YWe>fh{SZ8-@U1R4@@pqo2Wv#wdE)>uuCjQ4#zT1xV89iW-PU+>p zKWk%#P$d<9(RlqPp{8w5eLM#P8$R~ZJuvs}vn^k$`vdb+@9?d#7kfIp#Yk$xJ^yc-6s} zbq#O5UhK`eq>f|aux*nT$`a!1!1{%j0A8Ac;aG6+Lx8XC;EVjlC?X+M40`x#R)WlV zJ-pXtt=3%6jq_w5&d@hBf0jG9SlamV`NgicFFjW#IahzjLWRU};}qo0VVM@+Dcu(} z@A`xH%df{3N*>%3@c8}T4(;1Z&x(0;v8D1qQ#Hxp7axA%&?Q(Rhh3rpuoYoPrqiOD zEr1Un*lAY3YB!+n6$a`?*`>6u`!QcH{rFn{!oHaEsglTg=ni{y^Y(3_?;xi`*vo}}4^>~* z_%ro!q6-q@$xBf~_}`@S^sOagV0 zlhnWL(AMhLhjS9=v}!9yy!-wx&#=TVwPJ@&Jc8(#v44(VxNxDe7~I5qXEU4Nv8-zm zYkN;>e^4^je#z+6CG)<0>Mhw0(P!x})j!j8x)q!rJqEIOd(G#LXr@-tP%+74Foz0` z7D$C{NCh2`jx_FDr@MvE^|@&{V(inqQ$2fDo$1_dYHZM~@#U`nnC6TUsn1Cn*rKHC z>osIt1|9v^i&j(j+c8&Se*M4* zBQVUbfms<{*o_k(x*awE%sUEz+$h&#JH3VLqgjKu$O>&+VgFFTj%YYP>UpWF@)eHI>Y!1d2 z^ZOIA1g|u=)VisuNvNu+*M(Uh9<3ZWQBZTDg9PW!)0Gr3myv^dU4mlnlqp40FaL-!WS>5*ko#6yJ9^r{F=G-u{QVCe0xz;Up(i8`E0Km@1I=DDIKqh{V85^`$T9d5FL@t$rYXitON#@Yr+o|fx2 z-%meiboPZ0!A4`p&TIXnQ#vEY{cD?A@$71&aR>fa9U^Y&Z`(^NQCq*Y|CYm>%)lD9%kv!Nmf#j@v}75p9`iOA3e_rJ1pZ%WD^ zy^^-3cM6vhJfp`>__W1xW14dr9kY-RffS30^Wt?t*J}aXq80daNBH;OcL0_7_neo; z!(}$H_&^||693NXIwJU3Q2PN}2wuzfG%dJeTWtDTclggodMn;^atZl#=+DeUN>l7! zU)B+Kb25#Du$LtL5^x5MWhv!=d+3ey+CTG?`#1b)EC_fz&>?$oqgb1#Of+c^#H1Y_ z3y<89hS$sL)Hg9aZ2ab{bVSoel|bsS4bM%IBs?nusDD|oLFekrleUCJtW4Bw`&vG; zY_`UjsEl?Fx>of^OIp4Wh$1LL1hqJ01@VA3rW9`CMy9bp?=qCsVDTGo}=HXQtGqm&<3jdeOzXFYOHEE_wtu8Uarsk``+m z67W+=Nzk{!k!oq%f3&Rl5Z>wAw+=EZpS%bu)y_m|Mt|uO7pKZTV!1`(RobqpXf2-K zd@$)WYxxBdI?>W2bmG1!PMPxey5((EF`}^J#7dhNreEXKdd;g+ayB@fHY9Cn%d*)U zGm4ixtUuvA@+X7BYzM#Ql(XqH8}~PoQw^9SF%~ViP{*_Feut$GojkVd&Tja#Q^x*N zjRu_Y!Ry!E{PakvhEv;KTiR8$gh0ABEhHycH`l-2Ae880Ps@*rLJ^m$`{_K;9BdY< zXMy}@FS6#X^Y#q27)Vt?FMjBb;lz->j@DF z!*T{`me@6s1xm#1(V_7pJ?r0rWxwX-EKPAu9k`+Rc=py&m3J0Sv@P6WWi+PB8l!Dt zLv=z3oyR6L-)Vm*-hV+~@nOh#LpH8pYdfi1?oS`i66B=EFNaPTR&#Xx``_^t6oaj*yQbVBA*% z9Xg0eBEg@DU~l+16<9qCf(PX!vyfS=WE#@;Ry;wlyoObvG~AtJ3{QVVd&H z15u9gGqjHga6||TIEk=}Kg!Mh(IMjpJ23KwFl6?1@3$4hOI8oOd#keG%F*JimrvYI z`%GzV3HzxiAqE0PUsy_sE;ex(2k|_`|7kz4;hj8Btc6gG)4KJ#v8>HSWR-Ic3SgeP zhR!sYH6iQK8r~c7+h*&f2Tx;Dyc9aTzc=}h)*s!2iIXQ!DYbMUS?Cd5JXA0Sr)ShU zx|UP55oW@Gu7HTaAa5MA}UaK&3$uu#B%>y~_VDw+^>$A9AmZ(;^e0IDl)8QiZVatdd60ZF!ciUs-th zaM2#6RclSCy>!j1eyirBD$YD`{*YVHK<5#QnzkU<6H&@w&YsKRKHT<084KAh=im$&#lp4e zRp`)oTk?}#7KyazwM90DT}Sji%a%$Qip|!I!xdk3z8^X7`Ln_Dho)(_16cxO#6elg zqa(*MKm<&hpAaLlU32ZPGkJlXTqu!vI<72otmgW>Bg~@7V92Gr>oB8z7w6x$G>Pa{ zrnZ3HPz=1pQ3RXfMtmnSTESfbOXz|ekP&*8{b5Xd?)!n8lvC$ z^dBd~)AKak?^Y{n`cB)BsxceiRnM9WYcKR)4D>?1Ni0M{K@FMPdu8qn#Cv$k zU!W8qOz;7^G%-#Ajnh3!K=>J@0JDJ3jVdvx4jJZm`!7+83V%jS3rCK8|-f5#SU3|mcQ&~jAlSHPXwPe#Rx z5qVn*Js6dn!H~Et_Gyf4trfk7C0^_5a(jc6US_G}tLxJ;2R>Rk4vdSKbf)Hwb}OHh9VM@voo>dLy6K;$wRpF$ zIXUQrL(I>L$35`AqxF|ZK4*I_bS#=Xp*uo|Mhz)n_tL^>*6+ES2ShGy95!j#^iQwC zk0@vdLbYPyKN=ma#Joh~H~X>2ioOx84_9G{>fxwE2J3n618bG&o*%)@Ik~%~Rd(63 zu4)|bS;NxHeI<&CHElmtta)vqsVZ5yIz{Ez)`x&BvOe?8Z@xpNQu_$WQ+ zu5IH*Wt3E@Wjf0FX#VbqzmJQmm7W@UtQhk+Yh1(MI}wYudz_N%ABcwF+H%|_ z?J_DbMC4ViYPPWFS6s1ZchY=@&y1r#ceix1^RMm}cA?x|{>~LKHu+7m#<@KS?Rc1x zVAz%^{U&7VbR2GBB@+<#W=@Yq&V#q_SbI*3!#Mz!@^NQqO&Lj-9&HI$MJ5g}iD*g~ok-GW}aFbQ*LIRM)I%^b+Z1Z!UEIv$i&8 zc$bfDk~NL*Z>;_x!cLnnxTzcHkhs$)({IIPstruN;s9e$8^M*{rzdHl8wG38DSyoz5_rLE$s zE!n8(zIo8+s0DXc_XekKiBd?|{avK9cz)EEd8v7Lq;gA@#5$0jL(Kz-Y?IX(9yu_z@!6%iw(Q{iUbA_gHpopuFSY# zglp*i&ic~Slu3rU3HRd0$(`Q4Jz{aEgm9%@+Xu~cod!*|5|*WHL)|;!F|#;xVEJnA zOLInDO$gYz)M=&qwA+WDy!BBay{z)#!GX3(Baj}B^t0?fZFlp6)o(7Hl;~pBVY-1$ z+#xTw@q4CdbiDXazjF@ilKNv+mn_7d6i39}p^_UN4V8nsVwLP;ZazDtPThW}WzrS> z_o3~dMbv?N(*Ll%rwS(!K_8c7QB%vXf|`# zaGoeLTy~=Of{P=N*X>2pB9)k!*cRj-rtLN(_WPIE#T#PGJAQYTYRmj!x8FGAZm;I? z2FInMybk%QBrngr_-c@ILSp$F-@9865Bl~d>DJbEE4QUYcnwoDRT`=@c07l=dfk%w z3iTe4yg<@zN5J#!o}N@&9-ZyTA~!{3wT6?WBkA=;R%1 zK4Q$aLiwJfI-iOPGI~(Hze9=AC_?SpBhpfuFqNmx}*jy~h>5ol9Li zI-WmY5dTe|D(Neg-Ib`jt+R=Y5hiAE%#u$fBRv{^wu`edbXc^ga>``kO9I3syeY!AtSvkTt}Nmt_1ksw-Sh8Y`5w#<8LYd*=ws6#g6r3e z8bz5mi-VX(BsaZsUqs|ajNj#ehwtvV2krL{XIO|&XlU?7+l!V+y^y&CeLK+N*@rqq z00@*s+sjI(?^rm6MmZ+TM@O&uX9pU$Y}+=wl&`Wy z{OW&yvRFbPX3qaUE8^1t{pf-<|9^ehuXNduiwxpyYMB5CB!^-`D6pnZoeF7n%q;y( zf;LDO*y;gA#-@Sv@tF(+VI@q>wLJxP6I1u}bFe99~ma6H zQml%}nq)$dOTmB>18np}7PKX8SE$veyA=oPh7+exltoKXRNP#(kcP%a zOn?Ri4U5Kw{*@CFGwAPShc6gpr29ui>ca+iqq1QmFqiyzT@S133I-;N71BCh9@p_+ z)GXE_yZpRnd+*DaFN-*(p`%Av=>=I&e@1QGm5b{SJ8}A}Ti?Tv44JRs3v|#;%J;Kg zP#tZlA?{>J7ndLAWfKT@hD=j#XliP6(p>xGBqY@eq7@BUc-PKMrOr?WyfZd6HEqZ% z^=PWUJQk=wl2Oqovty~%P(SM5#K!2U9Nno$+mHj22GXs&3Txg@XZ##uI~pkCfMLeM z2ajbY5^;z?^8*77_4Ot2FjU}gVq~dcYDLSGm{`+x`V7KSk(-Gs#QOGD7opID&=;d6 z(2;)1=nUDG3z&No%`An`y5h96benDIS!^*h(!94KBnJqCuv7zXAx&uvSBoa)L%OFw z$r)f8_ZSRE!uVCfD*WPph72dJeAHT8S`hK6t=mzn8t&u_rEvNsC^lF&~W%RVcWq?nLaPrMY{CFrblApiN6&tJDu(;3_yN&8ZnW1-D&GQT>P~4u(K?_=3IBbM|9m6=>c3 zDaMh)We0^9@_ogxSVPVvLys6d$%ppP78!M7@(1QS&^OmB8nI?Ef%F&G81n^pbq~;> zRZITm%a`JAvR^pR{=-Hq6;;eIG8zl)1OkamiOF}h%Yv+Z_O)%8V76qic#wE)ocK26 zpO!Z^gE*iTG3Ig!y~$5kj9l9-hvt!173o%>hl}$Mly@CE_eB1A*3(u#|CkP_Btv=+ z3Q-@IGc9~fP!@Br)o^@bVQd~1I@Um%khOlOomR3^8sGf0qq$)mk_~%Gc`+CF))56) z6F3DFKQVOi!s?hfxw@+ipqWVI$L7!#z@@GKIdSBRh;H_r<0E}X`@nGvp{uxg@$vDF zCWaZ4e0Yp|pxXd*9&-k7r<*|oz8pKkzw-WFOPOnr0tpD+h;@knIf_s0tFdsxvK9a# z@h@7NwV4dH3f-V+Fkn4O-zumuT#+}LC91yorZgKUDPd-;AFVWtwqdjrcXs@i;@m}p zAY>4DSp^o}xVr{#fJmHqlk75!G7Io12Aqe?wzAs{@X}?3q&0(>*zrcwrDhWHjds60 zUauisQ`q;-f>p#R5Q{>Q<=0qcJ-xn*cZ8qpQGfpmVKD*v_|7moC8cPO-zPaj=wwm+ ztR$aFbT^3e5PAh~7`2X61|eAhI^oe0bTXX{8IS(SzOS9;p`%5*`cyA`xC0r)Y>5DvV`JpM)=wH&sQ3-oi^^^Bl>$U81f*Gyis z@f1(Kt+bUa#3F`MzR-ylXe*t&k79%mzD(jX#Y`qN1JBD5f++?1~k%kkqC z`26*2-8yjzEqoBjzLSNvPB5gC|f-+omqN=~^bmJH3jxlAh?($BzPu zle(1OPE6fq*QC|U78gJO1}k)fCD?dU1aC0B>(^DUY+&^1g=m`Bj{;=sGooM~MT* z6^|3swhx7cEsZov;QR`g8DSyJPXF+RwQ#0^r%o-5_z{zi!7Sp#Uy+WC28W;tS>~dN3I)mN>m=v?0Eexm zcQBla1Tofym_Gz~`VeSj*E^=34j6EHV6>8(kLmCSpotu8gs~ZM(?ui&Pok8SC?@YL zCS)Epiq*AMS?!lq?^J@CMG+Yl6}8dTHA>9r8KN9x#kjm}dy*U5{Gf=CAOS+|<4RVn zUq6TCCUm7(<{c4Gi^hRNy=A=KMOKuUenPGIh#RHKPVx5y6&P$2H?{wvGnAMjmV}*@ z+-Xtva2$)5lYb{%(YU<$=5r$#SMMB#Rgg97N;w1W`RLft>AHzVBFTc^-S5yAGZNo6 zZ187XFHs7xEc>a8g*#THZ}PNLS$Gs@Z8@FmK#Vq5y^}|QAj&r%AD_Pqm=MBV++2Fy zo8QqZw)_t}zcm3IR6nypjS$m{m>Xj95As}Pvw!p8Ql2lUZ2b(J#>x%hvzSHcmv?3Z zv)LtFyZ^}3;0VcNupB$p?pk-YS5XYG8&n9}D!o;uJqan)U}AZ3k~3&0d!*E$*uK6G za%MT&+fV11g4LQeFKBcRS$NG0W9O&4cmkh)Ekl(hUpB1^haw*$+|# zMlw?ODJtIG6F*Q3JrHjce8ekmsMFgY>20l3g?bJg;nI@Z^?iJM+LT+(XH$*I4EWlpiA5!wf{I8!sf2st3+cicd#B4WHBXGGtrov{XP>xeJL+zJE`cLxo zY_mw7$dqF_Fj;7~`_!Iz4t8s%04AK^{j*}=8fVh)leMza(h*g+$6_Cd;+zjZGRZPk zS&WGh04Qi|BIvPUY8Z9-#Nwow(IC=fM~-C)J@y}BfoD!0j+^sQOc;7GQB6%sL*uf! zzr%ibKU$uXgDFdt;EGHK=SkTA3b|kb-j*KjVf7xSimax z+&kGP5=Zn`Q22ZD_ZT8G0M9g0LE;S%OsklM#Y1@ZJ1Ko6^(OUlb3=*0pr;whf`W}n zE6NaxK^0^VO2sBWb=?svUs1l-Mvb_@rSFT26971MfNmeNTEvhLk!XUZftpR^e?gBM ztXucp$$o^ga;HIq&Kd@dWB9tIY7)Mu#_wn7%Eu8FkFawllUvtNLUWL2B^FnQKs`lY zxUipuI}tSjmxDk>_hm)Mi4zAFs6YF)V5^(aJTa~3_*1Zfwsr9Z%q0a_40Mkd0cv@{cDv<#PNw37E8Td*dpQ}(7Eu? zUzS=H{CrfmM0E>oo2Y`=VCn$;^ZXcK6^c*v1?vkhyx!aoLXnOLmN*MBu+aV1dd%{= zP3nLNEC49LZl@-?Tx?w|E%M`L^6pID^jQ+=E$7Pb3ai`41>m-KBxZkQu5i5?q;xmec61-R8 zgGBv9CWaV|$J^1NZ6_nc269J{bui@6I=LuodrxgK78R_bChK|?ryD;myj(OB@g0^S zq%3q{f0@B?$jkA5q^5WFwzcqx^b|wiN<_WOZa}^$Azrfd-7T6rCeo6F^>#B!raj$+ zc75aBW0BomUSIP?JAo8eSG%gZ8U;^Rb{H(pX7#{{ z+&JjpjW|G{>?Ld`ROvaad7G?3t>0u6K=(8Vi2z(!PZY83pE4s}3}}KKiRRt6OYR0& zNsEmjU(=$+nWivzTVw%k0ju^Te}{gSx}p{$ss=9sO%mh5MyRNC!8b$3tg!uwvJW7x za$O0+9TNSiKWe|9JN^1_*3+l6-fwtZgGo)aYG_Fczbdm?&!CzU+Z6ewG@bBTPcZ#% za&xoCb1uk;gGS!$pmaYK^#! z(|31w9%qV{2)+{K(B&sUIG zD4AX>pUNfwl(%~Y^LHrDuHQH?s;?CI%Og>!<1e}Lx8;yB_irdLol5TovQ@ZikzQahH`rgZfd7JTZ`$~r(B{;N2) z1Zb1I4&Bmhkr#?F2H73kK@H)Bl!8nmRsg(1P9NzfF=^a55h2CJ?z$%T%>Rf4_GtrY zNnX(F)8z$XI5Akt_D%VI-KZs-5ziVe!g(oPc_L3x97}|l1B85rokHp72C&vwOJxtj}p*wGC7^1iFj6MW<7Rm|=t{5&! zxP@?8GrAPuNrd#VX$d3%3HLKja{A5WDLVSlz5*QPyLSw&p|}-0+M-DXRKnt%Vip#? zKiJEtpIg$miXrgamVA0elOUGIy1bbn z{9!byg}RSX(iaZq&(gyoCQ!5(eom; z4%M0HELa_nIUTtH#KB`ejR8$J51V#Uh$=wA#5=~gc7g~xNAOr4K7PFWv&^w&m`;V5 z4V=L%JA5-0J-Ll?tY`t<&`+%C8`x>{#;oe!GSKH^H5K zX_t&wz%umds@QguwU*Dnw7>x7M^M>p^&QjBa{?L*J-e!NHDi3LN7`_J$1?8OZd)4VvEq=p9}`2Zt0ho8bLTXi=89J`gU#G|&+drVrVEx zWO`HVLvFAp--`IBY+ze4-Wp98Y2_tBmuu5Sz&rJ}37ht7lJPmr+eNTVG9xmPGPQjc zv$pdnyEhVkPiz_|5-wF^s&W)RD}fTV|LG)q_>th`LE?tV9u_+&IUKAC@o~HmFwIN$ zlx`+|l1Bcua$3KGM!*5Rh}R~~C9SEZysXTa-vwB^5{hNQ+JY{=h6Y^B^-F8kE?<6+ z2FZ@|m?dn_CJJLh5h@H@yf^r58hL?*Un3?aW=h8bzBPuM3Gl}&5DcfPjhN4JB8}o8 zD^*mH;3EUr+iQl2(w#l^wb~qz8o_4LeKY;P$Zk6(mKmD+fyF+a#c)0-40o$=~5?BEdc5O z?w%JG8q;I*7(ABMIal!hH`hKLBhGFb&tUwT4?RRJU;V<}HEO;LyDhX_BKY=7f7I=0}_K zV)K4X7g_i`-W`(S1Yhk18A<9dZCTYX(>*;Yk$8#^?%n%%drpiHPI)ga@20cLflOd%ZhW z3t_Bfr%c3;i+D4ZcZ&T)pczoXWwT~rUgrA56ffReyX4cF4pNlOj|lyqK0RZagKmDr zr}U4ff5**Y3_Z&q-}YV%t`ZkDO*pA97#)<+UZ||E6)AQYR{S;W5p3Y*sA%W~%}-W7 zyp`l!dv5QDkt4^u{iFUsX_(6Td18F=N2YM_8iQs$-S*%k-SKlw@Ze2{nC2O28DXQQ zO*KbDdI8wRy|NmB1*zshOS^v5Xmm{?Q-iIyQ=E-hNaFsVnT!>*kEDUVa!^0B&_4-6 zcfOo=0cj2qTjX_Ns{l&-tDe5dk#rmIxo0e5k#|5fS;lu!lo?l1w9M|dV-GgL+@xvV zim`o+$SX&YXaF=#%!07Dr>YeO%cJRHO|&O8k7r_pRA}a$nL{~i~BxeiD6a!vQu9WybXnG^aG0Rjd!dRF6NKp;S!b|n6NXMfah8lT9q~M8BAGT2Q zJ5l0RR;!PsCZ55Wv><)A4!4woI|`sH-BTn$xR36?mFa23G<1&j9)y;;lE1vf5J>rcLQZad=FF?B>z9Pi`fE-uL9fVC=tjO!Q>t9u{EV)7zLiqo2YTnFj8bN2!#-k zg;VA9kpX7oCQfuLKO)b;tY_jb4yY*7G0n}5h8}l%bDl>gY9=U+#drG>4-Fc3pJ{a9 zQ0i}!7=cW6;^3^>zA)R96Xs^K?Fjuw|1a8>s<&um;dxv^URxVVdJ(xrD6+r?xW`v4 z&4PEitQx-l>^S>Z&U34dWCWpQ0j{MZ?T37W*H%-V~f9ET&(wU;;_UMa4F-R>c0>4aipdK z69Se94K64!_w3K^A(rwbyYV7^gZ>$%bw?ZRhr*jjf94k4vS@mwr6smbwfR>rjUIO* zpu&aY%kGx>Drs5S$MjCv7e~S`UN0GzC}$9NZvEXIIj5)2A0!vlj}n`mQW&_6R(AES ztxL@SUFDv?WUmqoWQmSih#9A5=6}4v%=5aNW#ak*8J*YGc2JmHV?p0xcWbl!9)mqy z>>5gKVR4xDA_nS+P6H@UVnOmcdGrg@KpZl^0dp^_$yM7TxN*&s<~pDD@82JtkdVi$ zHgT$lR&*qTjRYmZ$Z@pLWC2n534>YC-!vdDwA3Pv3h)6KCvwpwTdhOs7P|%Uv17-z zZN<7D?(9BlCB6F1xvoU6++*--OH{9}T|d!(i|h}|nw2gtxzJ|UZ=3_f5e}SrbKc%q zGaW>>Al{sO4?##U!`*YRuKBP1y=Zuz#|2&7?Z|;w_}qmUTWU&Vi4ZjwR#t(kj%&@1 z<66dA4+Wvmi9j+Rb_KyZBj^PsU_%@LzHmff6RcoPObjrkYYLk$i!c*jv8Pm*>^ug_ zL2)m&*n5nuAty$XCpxC9o*qk|f+4y&@)IN0hun1K-Gi{61 zhB0Gk!~s*I=>AD7n5namCF0JFq&d&vbmtd~S08a55RBM;h5nbfr{6#J&1-K0LGZXf z(hFN}xDEs&%brW>&NcPlF&Hc{2GH>s(lCIV%>_ZCT48%r*3dXgxn4sK!m~45hBoYy z2BcV9R{ZA8!n+Y<0Mk;5@m6#P0a;e6K(i>P3haeh6?wQAlt@v5RJDW(mbPp^4cw|V zjZ$5^&TZ;8pHO{1YlV~3g%7GsL>C*ms0KKqiK2>~cX!JB+gq$VH?4vTe*mqxanqKv z@}mPd04~}lh|l2#wLLz$J4zI>@<5bXR>EK^WX9kH(1=1dN%fgXvHZXzSYbk6wc>MD zBac6&U=vz_N~4=Fx#ISU9M-3Gs8H{LGK&Nk!pFixq?$(ZlR1sQ=ks7<=LeiGFBjDO zsX((;Mw6R=|7K|9#8%*4~>gq)?yu6$%*QgNmZL3y)df-dbqB3ig34(Ff5RhOPM?1jG?R6SY zP!~3XhJAmV(#uly4;rDq8uR+58XBzHKDqYSW_15Z(@$!-Dbw#~&#NM3lsYPh7g4Yg zJjd1?sqHX0ob+Za!V|OQR%*B_8M%F!$W>kpv;Y z9}#sdNEt_GV-frY`wqc)Trj_!WO-Yq1*ys>ibcU=ul#$-uBN8Mq&#n#*Z$0Izo#wE zxiop-jD1h69E|quSL$NMJIH;qOIv4`oH_%YNyFC*;fx4WrbOgDw**Gq@@pIC_q7lc z*yz9wR&hI#z|afRNN9-&KT`T|5YUp?rA@;{yN85H+ADidOZVEdC&yd9 z9=v(8t^J%?ogZ}QZ6Z0I@VMWvo*iQU;CzCk!R{m=X>Lz+z23X4E2dwmu2~edEPXc) zkwj_&eiJ)X40jhK$?@+Ijx7LF5!Ok5^>B;SiKKUJJf(Yf+x?*`ql!8{S{9IK(0n)B87CK>LX(PXLGG$jF7u%5m*34nbaQ`xPthQwS8)U54l3iAKTw&|6QQb=cmK zDTN1Po`&vm&>lPHce?xJ5nVq_i)LXG(KjV?93mhWks?e+J@|wO2pBbLl;|fQy?mJpqlp?r~q4YeA}x_zI}RAnfc4^y@jiFhjreSYYdQe#yP$ ziBVqj#V8ht25pNzdu-Gkgjk*_?i92*8r>(Y|zr>taU4@_@~ zT(NWYi>`rvo}0~D(Q+#(wbqTK0cLQ^}*uo&f%)6Gj%?2%<@he zhwctw6dAMbQ1!FL!dvth9}new2Apcl8_j%9I&0zZ4d|HB+~{Guc9FkUksh zNfOetg2?wuyNz&x<^dB|v z$QI{+mOHNWo~+qLVVjroS?LiEBM#rgXHO=P7@q)n*J#8-`lRZ)Mrt@I)3Vy3xo zl6n_U>*1>X`Lq+mN^VR!YP7WX;YYl59icUd;|{m!j|#$<(EL*@3n)R6)VX)lU}xuZH1E6MNPtn2CWsQUHwkxw7p zr;$$G)ie>GTWHtK(b3Vb6YV>TU~^l``Hu7uV|V^z9voSHuc@o#U4!l4vVyaM zu3o+RkwzERa1-uW@Q+;1v+e(yVL#c`+rjn000|;rME?L?3c1|Q`tOTPs#}9-c=Ka7 z**{EqX1GJ)^V=&Y`cJZdcXN}r-zN|d@NH(b`25{T6gh{4EFeu%ZJa^I@tjF<1-7x4 zC|}J`;o&r*Fc~pR&!5T@j`#~JHB3X<(}dfw`}>06n#7-K z1#U=x$FZ}|T-lxpgN;?aY`(Wreefq6au>)0{u)1@g zsUKUnY&^{%mSrzUKNzrUNnOOKb2gwdxyTcJfWtDLJdvALrC7h)+`sC*Tga3VqtMf_ zHU;b?>OK*z!XVoAF`Lk1E^oLR*`?a!UP(`Hbzg2&MddrNM#$~Pyh}PXw&!T1;hW?1 zXS$|4ifB7ZsRLA=&_u7x_ao$B6RsgwtpAr&6bDh8f|L&|`(RS)e*92~nn=ypPkMia zM>+4YW^<|Q4qbGS4+;u`Df(FF@~Fzr#CLR@N9FeT=%B-zBf3tjitwm@`s7oFn?tG} zx*u*9@3KdfL?v;PV8t{yxMa7bIlM&A=fepK77_!>F1ULVJ;nD@fBOMg@isdr9@&hno>zmMRLdaOJ(d4=QVA1^u@d#FopCzn2DvE2$b zj)Tw;C`j7ApTP0~h$2{4YVr0@|7cmEJ{H^!a0o)tJgc~F6q-DE_h)S(@)W_FzZUd< ze!4=%I;fjNcU(8tWY+MYM9Mv8t&UY9`s|CmoMOGZIi@66hqE5!{ork6$JMruLF{-1 z5NB7)9&I=kATFVe5u=$-p0o>ffvfXpM2O#-nXc1Qt}K~5W51GQ<8IAuA_5<8h(H?o z#&XP80F2k}REYK#Z22KI1`lmiaIr6NMSXqGkH5Pp*#|Aw2&0mk%&0fvlQr~}3LmuL zpG)$_hx#^NxtyVp)-!EpOi$tXhr+Cd=3MvIotRBfK*L!XbJN!^86G#Yz-{A`amN>| z7jv{(f&kCuaveh#u~582lP7vxopf$ffcA!nxIS$?vWUf_+txd$*Q0`BL=*#lf?aMO z33PM+?VK&uxpQYp_bKHg%*q?u=gtbJD`SA=__r!w-U)R2_eI;@G9`r$(XNK{dA#@P zAtij%-9<^uK#Y%q191m)w$7F9-`@mSGxBH(r`E;rtm39igb0dQR7!4vRC3%hF*+>1 z20e@Z!i5TaTh(JBRn>^yy(W(cn3CjNmK{SF6kP0?m|hVeF3^Vg1-lC&IA_lbexfp1 z1Aq|@HrZvyi&qcC>~WQ{TEibNnTFZ;Bgn)$pXTM$Njqx(r?o#QCz>TM)S(Kq-@K^-ssFx3W&ic z0B7HSg~^?Y&&AA%v!U_WCKeMIE22U7P#1FYrL^)wKq+rcvstlX_38y*cCB?@L)hEt zXsx-@l3<2sqL+o(sI~CS!7(~@m%B&O)jcQ%7M*3NOSheO9L`-;IdVBE{ZH4vheAgC zba$RP=g;Ua?KxYRFsp8o;#HkgA8!>W_+H#;1331?yD%)Ma!iE6hGTVq!usDhXT|hE zDGeDLFt|9Ig|Q_XDQ@TgWzge;E>#pZU>I4eXa@TsXB28?2rJZQc5dad zDR)~BQoACC^;Mq!xOCx(U5>v(=K5S6d+ceyb1@g3>+jI{GU@4m` zYHQ0AkhHmG7=LKasn*IcxqP*}CyaATUBr{=Fh`(6AoeqJT}h?u|yr&9)`CZdNaa7CIG5S;eTdUe7R zBb|B`Ui73O?LJs@FZ+KVluX$CAf2%t(EMc@27F~Bc{0K(OxH8)azFJHwDD*fI7!6@ zcoL4Xjd zVbGMA!!GH_HfUJy+4o1VgeY~Z9#8CRo zWEVjOsvbP=3Dr8{(9f(+bi%umYXh@ZU0RkN#);HH&6&N!xV1>q7B2zH*s$u-3<(q_ zi1z2}93+M&>0anwK@pJ>%JjpzPs)UnA@AfrZCU?Q&$hGuaEqLTAJ-?s(G%SRvn>1o zuHW6L^olqCD5ByQXC^Sw*P?_Wz>vd6j|SDhcx6x1HgI5+AAF4M-K2AuqYs~S-xQ@3 zeRbPar`IoHItHp{93P{u-klj$fL#3RWqbY}@$);+i}_`M+_4kK?(yy1F6}wfhaS{{ zaB{Eg=dJ7^;f)foPf_vlPk}=r#ytFX;WIBeeWgXMOMBW=M?gw(nu|nWnS(;#L<@6r z;Su_Y6O%l3|C_wPA$5`+iA@SZt)wp&5CVi(~B ziS0E6QlPv1v=hSD8=D7wBjWi!_yGX^cFJx8&14V{XFNn{;lL)3Uta>mmYLw4@WQIU zjEo^%yWq|#LIuM{l>zX5Wbx=co3EVFD_BX?hh1F;Eg5d5Q8{U~7acLbv4X2cf-|IJ zpfimPt2B{e!Gc={gzvWMtBA~}|2@!Sw&}HtdufHZhaCgQ4I9=T&CMIw2fh?(-+$FL z5btUN=#x7-cD~emeycmfgeX5pQ3C->b&XD6)dfMiTgowTpRTy;U ztWfp)Y?laJahktSPmypgh`pZ}ZL;RWosI{LR7OpeUOzANp-kC9YF!o^s|ukZK-Y85 zTES*9BhhIEAqGaMPGho1?2;DZg5-=wrbA0pW6v};%@(o{*xqxF6 zD)2N>52BG4TOj#R?4ysZ!|nIhV~fzpiR1tnY#}^NP1QzV1$uTB?fLKedGl=I=N)x- z^E4i6;Zzx{3W@rH_ruXJ{`OA~>O4O7^1M#W6GgAV)>g4L{uA%NPKM<}xu@Q5w?@x6PBZ(n#W8!ujJ^6~}R2tC;co`)jgv=6( zP$E0oA)}B@DMTp=4P-=#tU`pc$x61OqLM8tNufbjRz~*vJ)WQM`CtEYuIpUq^y%<^ zzsB>v@5j2u;y$&twI3;k08JZKG9kls8c?SEkg!>MYiMeM(Bu@d+2FLK7U+l4TZBf@ z>uwKT7Z#dg|fsUI5~kXm^3X z9|1m!?h)a<1X)Asf85{_7CEu_E>CW>=7U!)WK&T+S_b#=@&Xpt|3MZ(h8vXSVh9149iGi zaWPTYlhiO83VOe!?aZFsUm>%k9R_m1jjJ@SS#ei>_ZjeZrb0VAyY= zl5jP8j7Nfm)R3End#V88EdUFW;E$t@vQzEW;pEI_ zP0S~qBaTcI*n!pR!1-4**s?<%z^nf({15}fEU99sP*@$U2Bx`a<_$8=322Mr3kBXo z-7ZLWAp0cu;OVj$$TGli=aGd?RJ7X?#h7*`8_}{qjMZ=aL;)ovksRW^axiq>#fV%} zVI->}$;Cw-BiuPWfFPH!z71`M0cd$FwIbejd~j&F$Q~TrPff_(K8rbH!#ltmd`to$ z;c`Q2lAacF%6xmXsIumkPj-wv;j*IZ&bUHF5exqBub9B_j@or7c>xF20mp)j1$Vi}IUz>|=1l^Ee2a{U^QAjumeg%|vpKwhvR;gmjQ!-D6oi+Q}lrRrVYx^e ziX(vbn-F19k3(H<*zVP&8Lz_zKjXU^6{P>jZ^ebZM|J!Cf!B{DRuaD+7i0N{YlOs0HuN>5i` z$njy&WDA9+&ihWhTo*l}oM*3J;yw^YXwy*6&Gakk4wVsY6gHyb>X7ZH z|50M2OSnQdV6D;XB$I>^of#s?)D1|3YIO)B<3y?ZsEdvd>}5SI~a$zc@{vMd{Qcu(#i z$}8zEAUT)&QtY+1dI-04H=cNe76SBp`<4QaJ{%aRwG_&x$L<=%(K$*5fDUWy9+aVC zQVH5_rB34=2>&#cH%XyAAOaM9mVpP zEn56G9;mah2tY=#n%?{sUH9jzn$W*1Ae@qcMLd7;!VO#s+FgvP#B_oqlAaz55s5tZ zKfjJ{tbSJXfmIPguf0~eiM8Dk2TS~e+f^cu^jZdRKTT5Qo?^?kY5^N1vG>hje}4^p zUqIYX<1m9Xl((xKt!^CT)|U`#Hggm^H}`;!#B|Pt1V_Vcqq{tfrqmlX_rJG!A)&Y- z@dwpk&9#FY0r@JMnmz#e3xIQdG&R`caMJOb3ID|q_r$DF_0WSO8HU)230@y}j%+Xh zbPvfHp6|gZp)VkC3m_-POOn=IY>^}bkBh17Y) zLRSD`5bWblyFo16Tq=s&w7fWy4;&;C<7$eLFotxX;#4Z9ey*w~4jDnYzB6Z45n49Qys;yLY2p5j_ad&sNMi#Q6s51V(6?x>NV_144sI zc%lEIlToALRc%LY=5ASP<6%Azccxb*c4Zej|K0g?6{}QX3Bk#G2o{J7;b*=|=nF@q z5e`8M`l;f|dAtD{c(;I;5%u=p*XtwirJik58hJ31DYH@RZ?zMN@g>=%N*?Avu~`6L z5yN0Y=B*qI9q`7(*{qHu^>f@3f&(Gr$$$_e?&A5eAFsGjCedW9&tj%W1C&U#NEi(O z>9sqNeJSvyk=_F~P6#Om7q2gWl7n!`dvP|v^(u|h<&6m!gl%Xjx)0`erqEmutY6y& zj4usP`|xh`31np-eo-N?e1$!)$Y=*m0V*MYdnZT*BeXM!IZm2lZ`8D;#KJy2u5!G-?-{O+Y*^oWHy|EIp?)<$pgbsX+#n+0h4&<} zABjIZ(M&o3J0r%!a(U<_zhPq~q?1@>+Yca^j!Rm1MHR+42>>5G(9^)vBho72P0y|9 zWft9$cWzr&jN03-J}UQ1M>3ZGaH%><^d2}U+;*3i_f6uWsgnP#__~aVi3!kL(uLrO2MDup;Q^nFU2_C3 zQ6`GpI$~$$mb=QG(#9CwE-$98$*cI{<_=CNyVaK-%BusJRZxbLC9?R|zzPIS=N91q zA))l>i}C26!O)5>K%eJTBI+&t?%>!4QN^fRej@1R!P{-c*RGO$YHXq{@_G1(Rel{M zfAoybzmC1J4^+P;=XGlCk&=qWqtk|ghr8{lT>uylU<-U$H-@*BqTu3+=O=ZWTWp7> zAAj(3)X6{RK(+OFOrDt^FAa*oG=zPy3q^>*n)~r3X!ujO1?4UE_%Jz%^`s~1YF>wU z4U+r-DE-$%;~^Am_CxlfskH5GCPT_nEr^(!n^3 z|4pEq^ZgI3NxlyTYHA~cyZPQ;`X%$?e<2ddu+Xnbd~fOV8^Zxkttq&bB@nITC0Hws znFPufoNa*w86SRBbyr4(5i6byoL2$@0bk;Pj$q|5dZRrz1Q(Y zHY@+OxwmRMW*EWlGjv5(_3b8VpiUj818DiwN z7&wtaxqq);k&EEd6R#T4LSZCC@!SBk6>w^t7{>uu)!qMTKN77Hq6|h%EG@ZI7~uoJ z#H8YV0gO6kGm>2rrkdIFus6hD*d)(Y!?2q<=Sx$0;ozYOA3FLj@8Kn*((S#yG0PtF z`+;2WgBrm--&Wty4v3FPduK<@p-6dteUKs8)5-N&e>?~Cp2k`pkEMYy`AkCyUa{fJ zzVZweJJf!B5i~L~&$zqn`%;U`$_7v^u#oQ|MvJUx>(DY2CmUD@Q$M@KNbuKNCO1ve z=*bUs%L-FH<)&O>OH#acK<8Ety{zXl6;8?j`Rw|Zs5j>X5YQW0JFk(`uC!%`pLXdR zzUx&lFP!_DcsT>5cN=UV0XQ`LM2->1I(8}^>W~|isI`Qc49(7COekP!FZDOFl9mFL z0#xTyGB3tvu#D)URaN*)AIlGoDMDTqbXK$e#tX+-MfUQr(0BcwT$Tgu1(-h)z3;ZK zJVXkQQGmc3xJ*nBV^#AgjPwe!?|dy14O~@dh7px)m4k1BIzDi(s3^&zKz^;&(@&Wo zzOZsn$RL%9*pcA!Acw}{%y|S~ga8D?_1Qb|G8b=J?Y5N90odg%iVD&1T@Z>-o^a&3nAV(w_&*uE%1Vr8hKJjjlZk3D))c2VtmrbzsJ6Xq=I6O zAHwwMcScfD5*9^+ge{^6QI3xx@d|`J25ox89|5STMN-Z@WEF8T&f9^_)r+q*b~OL( zDoYbJm6|?vvx=YQlo6e_adY=twuN^jb1%7l=+^?6;~-m6Yi@4F`K%PQ%1GVL#qvar z=g@s=DLL;i0R&k_XG{@Y-IR>~uHe0RAEx>XUH=zMc?Wndx&)vZfxt%&T5Um?aa4E$DA zK9q-}D}*_wLbPrbIZ~eV^d#Xbcr{~k7eC5<#Q2Vs0Ax{_ggYHlP#`WLG&^Kv7qYnr zT9aBKRN5~o*$2$jW2*2=a?kmlQTKA!e4)lo?hJ0&v!CMExZJ%=wdwJ=9nZ?BRrHsP zSTY*Z_YEZ#^@`o7uLh7e^aegSM_;8qE4M1p#c9mCDz*9#s z3cxU!2!II?nI~c)Pf2aw6WJ@vbY zjk+94uJOU1M?$ugSzcYVO##)IPa%W)JvOF?yH$Jv?_V7de~`hCagq%$r$I4vn#^|+ zzMPU?Azn<{31IaM)olCZ7U&ublaIOug*8`%`H9Emgw6~bCL7GHf-;x7FZVDarSUFhK_7wDPH@2{&a)+6EktlvCwIyL97~A z){wPg0e?B(l{(12N!S9u5Tqv(0ep22!r|dBy(=Tx7%(Lqq1x7>FAySmbe(<7y9I?5 zPwcXdF|4nx)rfXJ&UaYICVqO8TuNTZyXWi;li~rZFHqc@%HBhU#u!pla=s%RgcdyK z+5mq+lvM2g`RKNDqL^y74k8)Sqr780m09T@XC#zHkBh0xd)|9w#{2WJug%%BSr#?+ z5Bzz>makL={879A(bVKjCJ;c8RoV~8vBQ*{Gp*@;%uZG}sx9{Vimq{DUdQ}s*Po#j zecAxUA1t(oTUJfW`<*Lq1RNSD5^=i%>3wpY=&X!tDjfY zXHDewm71PtU+51EEff*z6IS}9T5$Hxs<51CY*ol;?L*{QR?Loo4+1lzRn}GVf6uTV zGaS(AzM%o1FQmqgKhLJ^axgx@ck{Cy%ch(Q3#eBRuYi+*LxVBl)p7TycNo+(O&?#Gp+-zQX^)VPQb-(f176`iAvK zbg6dN*5c;DSar{C(DB~3)vNg&ztfXRUIG)-=zm!q6EI5cn~02N>N>y(t1l_bVqq}kgVhlwCz#x@xl4|&O5cTr}RWY zL%{=wY6|K38~nosI09gJA$dxu)%!72;`s&-hYS`UCk#Y}04h|ACf?r(*FP+KZBcG; z+XYvO##kCaLxGu@4kFDX*5?1>x(_N}J_`c_f6FObQ(k?rqBsFMt%l`(x zL~wr-_LVjv8DjHcMQqK{zCWL9c;wQo;`wquQP@z(){ahhyv)2v62gRh#_R>@6=wbTdA|D<7-bFfeZ1fOxT~lnL^CnE+r9h!iHpx4%zgay zh0v9lf^I&4{+yy|aA4rJI^RxNS@y$TPjcc9s{}DM5U4UK%KAA-)MzT{w!W=??e^P*%>_hN@JP=`dA>lXvfFzZ;Ic%)yjJ-Gjjb zCMvRkSpMp0J*ZAO*n&}ah|d8S2w8Fr88tyL=l=c_n~G zKx0ta$I-~F9rp7HB;Mj67FYMnGi{VA&PIE9Yc6oZf|j+KI3EA!|J2glVam-@cx-OKoZzsk+c4HxNefKCg4w-_@m;K8+ZaL|PE zgg9C-@)4Sm$hCk^W5d!B1TuYv{~vmx#iwF zZ@K}bVrPsNBapxOj}&wvS-T69WrPoB1*^^S2-NPZaN&GsL)v`IWol#tW0@0|Uc6)q zARLdFBk+WS@5aeO)K{Q(ahSSJ_UKX10+ps zS=I|tV0J(P38L|~?R|I0+62hP4oi6^1?N?`wkDc1_hd37ufl&i(X; zaqIfkeAmzdjh&j8XJq}YjuQA6aW0_5h!>h$!TsKwn{FvA_HXg#Fa1gyda~x z4TK~|0X$^^A0rnTtuCGjp;ig|&+13DwR_28)b4JDwyXFF5EO*sQOV`MST!hjw0f># zn{751@&i#vjyLP?xYKm8op!c|_3T$R;X%d>j=A-BnzjcIj~F5l0c{(}SixmlA1md+ z@Z-miZ*!AdfFpBBU-*Ty1_&A1gGfaBC`vAu3QWz9jVG*KZcpIxU)Snf{c2iPR+fY% z0^e85Hs5dEy-@hQ&Fb=w~FdXAhs__7b z1);joX;|gjA6yZ;0zn1I83O(NSarcw>o*@$(i;ELsZ?L)(ZKm`pGH%myO8cfN`N+x znTg{_j&5!Gp5w4?Hb#Zwt~bXY2>ej6U$IsYT7qz-x!_3Wm6kU7K91L(0K34x*DaTp z&W)J}HQWJ;0n3&)&Wm3SSKKcjEW;&^@_}G8$afO8sd_} zSlbV|eOILv_r~|`7*gjFk;~7SPSPlaV?kGK)c;aD)nfuD_8-G2* z+a|pEm}y14a@Ij)VgO`q02XUFMUFp~XJTVoZy%%otbgr^(3-#@dMpO^bm!o4+WYBD zkuFbr4f7_XC*(U@gOH2)9V{&%a0|f)j4UkoGyX<^W5M(l6l{sbxjBX#iuiUjUwok) zq=a$Qi-f1zV|_B{ml)BLk8IPE|4XKdnBkI!|Kv7b)TR@nY~jQ+M&lB7}25 zTro^_>&V(GnC^kt%i#m3BeQ{Q{sL1o1%p0eFVt(ad1GT$yH?FDmz8eu;p0mD zZjlJed)Ho3vkJRSK;)WA^fsXT!uuGrw`!+peet7%muLQI9X(>uuJH7u>ov%7e$=Cy^BMqq~KmavLMlhp(Mbi zqzly$zKuQPGq5drb%bo9|GC5ZmZ1#t>Hs0X0UU#LRz7+8cz7QfnVJ2~G`F0QJJ@b= z!$n+~YVso^Q>g4OR_!>)!}dsVK?)dP?b{Ut);2bLgfa)o@#u=n&Yg(Eu6;uW<3Gx8!eQ+h#tDaYBGP>HK~aJJgI^Q8dOSi5$bo|s2vJ@J zE+V%iqK)E~uKeTG+wk!;Y;Oj)sd(Ezsp<=#gXsYhr#kea@cB@w@Iuy!sU2?x35K^JYvIPjQ8OavK zRuWWil5hmII4|UVP+__N#lzFOY^^Z0#`1q+y4QHHKF9qN)Qi9M;F%0Q@tX>X`z5z+ z281_jyHcnJ@Ocb|_1a1Xy<_L#M5?Fe|AMb^?+J6p$asTbRxK5b%ZfDFF>DD3ucYE+ zgW5ZH8w;8eba!qDFFTqfr?y;o7b>o{d~0j0B|ZYAA1cnB#M5{Cfc9%dOMU&IZv5g) zx3+PWNw(3h{4g5-bP8TXamkYef~V*^zhs8_~EyW4~k8U{@IEr1kM`7BPU@}$z|nKVI;5&uF&AS zJ5evMZ@XcXa~M4Vaf;(8Vdvr^dG!G9+#x&#a0J{icR(wfO?4sX)Je|ZSPDL^pn&>Q z>Z|#Tt3|w)78Yd1+YI}c_V!(%IZ^MY{^RWr=~!J5UEHu?S@P66xb2g{aSwaQ!U~SR z@n2lP&*y%s`!Y#f!0^{es3o|#a<^9#l@uctwn&ln?C5$$ElPqw_agjzF-gJgKSec7 z#(3ZkBNawyL@10brARUtI*{%c*X|yi8{f*!l2sOeN8Lu-!h(6*)-ZLx(`Z;_<>l=y zDTrVSJO#pye3WMlr6i>vYel5iv%2zCR~rbk1iiCCTtM8R^K2wJ<^N3ID9o5V0htOM zL1;+pVfxF5$=cz=`W#A4~)#gicqg#6&4!99FeSF<`( z9t4pZG41}FDGsNF>DmF^e0Rl_%@Ek)ZXn5H1C9bdNy&dNx)aGegLZ<%HNqi=_ZW|h zah2%46P0hfo>iu2u85gGIp^X=74Qg`gv8DQG%YG!2hs>wk=ZMI`aKN|kjUr>zn{JMA3c~qtztPE_CMAb#sv?0d^PbZT5F=qc7xElW8WWLto zL)Mnp^)$Bp{BKp&NN^-EUVN6kz9x+vftY=kM}NIo7u_qycKoIK5e(GxP#SI8@p~N; z9}{`_F$J7iTEdcZoPouV5kYyf$D$cn?|$PebVhE+H-$tB>=J<5f@qX^rEBVU zCAc$&P<>hokqY2N|hgfkk*j7tf_T?>V%XUIQk4wpscJ#Q17za9y779g%`P=&|i%%w9X0py2LbaSdRqsBvP;; zlZ{AV@f$H5AYjG_bsPLK@!D_PxDlv#l3>6J`b0RKx!>ea#6B=Am(~)A8 zJPYvK_5<%CTVKHjOo1vG@Ej+Sd?<^pD!e#yzEIwYX$;QIqx8%F7<|{hX6lSb&TbN) z4J8Kza}F4Zl190S4;j@F{dSS@?AjfKG#*cQ93d2${6t?Z+F~gGI?F3hA9dY)pa>%=Z`XNJH!j z8ynkw5V&}&DTE#7UJ6}ahcl_hqhI^hbD?&DPwD($pD9m`vr0J{IrR8bd(6HWf*TtL z3z?WU+Ih5i_8U0A(@Xp>t(}VAuj9KD9 zl@hCJcQ-dWU!su1jmG5zR5AExd(|#v#C-m(mu)109TVCy%O$RmU}PXR3l z(E?ayD*eNHB7^W5vk2zk;0yQKLf@s5#t>xlR{Zl9o3`8Z9^uM)h!((9{}v%FXjN^& z_oEet`w!tcF&KgdzEO1jUxp3c8)swf6H(!(EV&}qM8G&UAVbWRyBcZyBz1i(XFvEF z1n=igg~cBbJT~Q}LsF&wOH$m0Dg(olt?hJnQUL@;NYjN25@$B?`{98idJ_*w-bzYh zq1}cMPwl0Afe+FnpOmjkPHMc)!6Q6gFo;v z99jqUiCJ+chl}A$$Mqkd^M7^<5SWkxYfyCIPb4>M1rA!W7yy1b6f%?`>?C+c_^|IU zo@u1CO`Mp*d4ZNX{qbXH$*OUdLwh`LCpAxiv04}*ko(j)cee~+1Bu*GKbD{C*r-_H zZ&Os)z<~jml)8m$MhdCMnt&YOej;%(`1mAo^jsGr{%6O(>p;0b z70tHMNUX;EfPFIEWMD^YPlC+bgF7C}>Ajy$6}X9db^z%dB={R&lWZA99#(U_)QE4X z#pSH&-V$rWxHs52pJJhqwb9N}= z@0c?LNA@j`8ZgunxhzIf5Sjpq9MO;7#Ej)f~NqgH#L z$Ur0kKMY>SfJIc2&W|PMj>G7#cxScae|Q~2ubS~{wfiWW_wS@I-kuNj3)yurTAOPx`P_w_`fGScDQM27)WV%Kn0A9%TeEll5Nx2~DrzjZab9qCzv_KX{F? zp}*Yo4XytT^bY7_SDxJP1cE{2q>v~Hm&6xabN$Z+592+=9jZ96i!Y4y_WI-h0E|fV zgVfmAm@#cz)Ab;QaU0V-PM}?T^^;Jf02$uGtM(g&Erf^Q=Nqs2;wo=AW2m4|6@YQ7 zDwI1eciSi^Q1gY%u+nj`UCsKr~lp8cYn;y7b`pb{QL+~ zxX^g;feN6*`E$y?>duFL)$o)EF#D`740_FN)JKC0uBj2glC00NEGpKjdP?IKrPX=< z8eP3N)B9}l1K~vvKnQ!E`$=%Zco0%CbtQT2!%}UOYP9N5(mYo#LVcAY?+b1{$uGv4 zMq_E&CHjnuXuEKW|09|6vtgXhWEf+r@(7pEGZ8XKhEgsQ?+;*WeFW^UwU_K&2QYYO zXqa!xL%q#juifO?=)~MyCaNln*hz)sxq5)7H__5A!oUl{{Q)t5(XlIIMnhqLUjic$ z$+87t)AyY9J{Mq^UPcs z+XD)z2yh1`7{!D3r%$Wkh_4*^PDB4w41;S26x1_~A}=1DdCC$h+w=b^u}wJlu9%aJb{B$hJ3S-6-)y>O7f`c&-SA5`;hT_MY0r})&Eld$ee7{83l|)A9sp2^uEVpes|^Y{fZ*!KmyD~g)j`>CMra$d(!O2X zw79f{BR#@aqN6*q&}QF7dlR7*zebA(K!C;^74nU8>~5;_H5ex;Dk?%R$6#ywThy8k zvUtQL{pvBeu^4VG4p<6K3$nif5|9UHUW8Ue1k8wDxpJkjphVqLQ&4B*)JdY!J}C)Q(~f_xSMTe~fF^zp}4U6WYrPzx#b1om}fwZG$0 zgcf@{@h74M|F)=t-jSt|O?3l@H|x8K*rI14~Rkw6`7#j7+x_ZULEbe^Ww$z$Ae%Sa|J8k zB1&sLi{oo$4eNkC4jR^SGaQVJukoqfG9_FP4#T*}lTI0mW4)nwG`2RqN zlL65BZ)NQyWZ~7++SAVqur`4sf*ycS@)i2isD#G!RDL)xvHEJb)npbb4`602o#_uw z$KMUVv*-S*a)ueGj_haSv^Ssm?xJgXdJKaSvQcpdtYiM1l3=7-kL3`$387U|Fp0ee zyGP=G@!ij$bU^m;pH4ak6$i;wTX!E7kd>W}ayzhmop!_=JJGi?bBBsbWqc5&@hNBL z@~HXwb4Q_BGicSK3sG>g;1(BOHfep*`uFt9jEoF2QbXr@7s_S`=WrWbkoERsu~H@b z-qv3`UVk`U?Xf&RDLBZ<&VI_?-XyE_)7+RPFcd;se@aqK;YBzb&gcs#woQ?|70{SN zv0pEAfq9{Yx|GbVwj@;!jswOpumY&2X@=sAFq{%!#5Sj8tfKLZKl-+Qw_BvjO1| z#0<9=!1C#})fF-X2TM!OyI=p$TP|kZf|CL=ftpXBnBl|+?Q9?0&W4(a1!6qnPUfW{ zN)cR%LP%vu`-m~etm5(>dM+t}ebO4nV_2<#2-uXe?r)u)gdc_h5BD%A-6G)2AdVf( zLK}r7cQn9xc0)`3!oQ6$Pe?csy(Y8>o-YRmD~vvH==DJFDB_+ZQ!1-j+z-79+&$!m_)>`vpn+qudPx5q%i6)rVRr6 zi?^MImfD~9Qjc?~*t8B5bC9X4$0TC)loG^m)Z^2T^a5VyPj5oLtIgw0QqJEi$d19M z&rTvAV~@!bc2t~w1zy&C*zE#}6Mdd0x^6jqE}~4szGB40Weq>p79bjOJop7}bqugN z-b_hhBKl)YXk>|B<;uq7<=mKar`10qY>*An{8|FS2pK?(FI-y|zD`}BI-kDw_L-mX zLkM+>?vdT1k^;xi06qppM4q6hf0hK%t5CrCIC`fnoIW@3ss z6Ca1?+GX^sfpIBA1kIWDMfI2`T196L;|kC&Q%ujz4dVKeJ!A0NkyI=wDU6d9Ave&% zlaw99Y7igm(pUdc*SmD;EjoK*%pl@wVdG$MOli&UI{u(LF6VTHw;tUx0zY4=>iA7& z^dMI7#(K)L-->oYyjfFQyP@3b>1tCbpo(Hx`=Of5T}*z&Q~1UBPHBP4leDIm6EA2b zuc7RbIDCD?a+HcRp;ev!z9Y-9!wQQ7E+5yitI?T8%nXI)I{X@K(4!=r933eUc*goZ zug1xgZg}qL2{r`E-$0}tqB*G}^={tIkMKQ_4aqeJ3ZDZYY^>vAy+H^)oSNLl{~pH0 z6}qf=>eBsVJbXKA*#0VesFtPXiFySkBEj{Tw#TH3{hymit^j&E-1@%je6L`RBCaj- zjD3)tpUsAHVUuv@6l0R z^!->+aJ903F|yoqMi_bDeGjaC3&9~A=)GxS>5aVlJsl#ztT^&911|buQ&VK>3lv=vlgq~j5 zUX6L~HKbN#4VJBKHM&=_2$RSRr3qIEaT~<^;+jA8^k1FAYA6_RbudhRBF1T4QzD1p zIAG5kt&Qa}r*S>;Z3VhY_H%@E;30Z*&{^pCrueHG=4s;BF8&;VSZX2WJbGJ%iV)Tc zgc{*)I-_?f5lb@+CRBw~@(i~bZZeK=72p)`(v;FXe7F#BAtG?~fOfz;B8tutI;pH} z%w+i>#L=XE$Gg%0br5F<$qC1+-a$Ho6I1!ZS1_cX!8IXBM?xRmRwP=;_MhPfG>f(a z|NhYY_3p_Nq;gNu)!PYqJ0`UO^TN$rw$#Baj3W_(X+*-;*3?knQGZK($oQdc^$E(M-`t6d4U6Sdf0PzTLgJxEMk5e5RGM@TSE9FSyCP z-RjmYvmn~TNW=wP%f!qaDHuogqq2#DB+}xsBJL<+sslFxGekqN%{C5>JMgv(_iO1= zy;Jw^uzd$}d%iW~ofQ@VK7oA&T#VN6qg4pK0Si!`ANb8diBZ8Q0s|?!6hYrenG)D*TAZ7->ra`&W z#k@2S-`v1$BFpAc-f_Hx3`YJ_J%Dl#965=LkUZJK>x%9>MJwt}*S3it+s?Q$g9X6) zjRUR0Cy<>6sk$1n<5pL$14PD|O9S?RNX+pzA}JoHY6>3a^2L2f{EmgP0;d9GF^b2g zU=q&bWu~ouxFg!P72ky&>x{j z^AXqqVba(m;DS>F9yNm3;{x!54usO~IDiQ5^YR<0sfj5Z2(hgDM6yNCLMNP@c5u0O zS6+YcAW;m$C9F^|tn{KD?#R`FfR=o2xJSq}J?2qLmTruDFENb{r_Rk%clrEmgl`P7 zZ)7D`34U(fDlW7+P$QJ$OuTCI^NW$Q9enCKmRv7{jVETO{zp_;IyJO}yMe5GK3PrtpEQpKD!xXa9xn)M(qDk1b{!ThC3h*kswZ;CDVH~XW>dV9gGf_?9s3Q-L&&p!ttbBJFDy2}gTEeW)@0W&SxF6M z0f$1Ilb$U!aOi`PX(@xj`}vC(zEL42^qj70DMD9BtJNn~#rSJ5@N)^3>+~o6&)fpc zTH4D0cCx6hFm0j;$5KZyy=XO~GtYNpmmvfh>q#aDn)=6ymxx>#01;W*0;+lK9W6T# z&wF6n#8XeIwg4M{kb2M)VcuACe?KN67Dlc+0#k>AhiCxw!az)75P;tzEg&sXpIU`i zQu01-I$@^YR#*SQAO}sFDz=%4+t&56vg^7~9tvOfpt*tOpxABjC`!^$cliOrWCD8} zj`r4Q^uviw_7nk;#B@V`JlG9%P)G0tb4Z?LOx6}GJlD1x2Iazn0s^}dk2BhbT){t~ z6urPhf8*2z6kB}l?@65RR>=-4yU0=}jd0GI(p=LBPELL?b2eQa|1yU3hF@yzkp=5m z8t$NZd}xx#4d3qZ#HZL6q1L*?SN%zzS_i{_F|#;wE_6SSz(+e??s|rFlBk#BOO}Tt z0UTn-*d4T7c>7dEBY5G)wko1)?9F)Hm*4qnQ(+Lln*MESzL+4O6#u^+JM5U~RtOA$ zq1?iJkL{;NKr|3`2&)@Lu`B4N?{*FStmVBhn~)$<*i<2pAlrt3N(aJ=EzhjaNJX~b z{+|~cpvHZ&SP=0uFdoF>=OpLkZ_1(W!o)(xGZ-R>RU4R?KGg5WYA<1X2_BpQ&}iT} z@iRFP#ABNOp$7YUV10^CdT8c<%D_bG+7Oq&DuZ~07N5WVJB`!kIg;Uf;|CWikqKSj zsSWbX@Mj)u z-cG$G#d2Wd9hS(gOosz^(oSmbIkr(H8S#fyB*{Red-!r^po7k)OZ4+Bbh0G*jmGYV@lZr8a;~#E&D84%x{C zfz$A<4wz4EfPz7ii0J(D|Cd8FCTJ^*;{(I8D{@5%2%3H*3KQSCr`;4-l4-K%o?)hu za2#BMIOjF3awr-r!u3<>?4;u|1l~l@^XicGOi!#T6-=+JN&u}is)|M5&@OfeeLA`c zWER|)w|Vkzt@PS}i$ToDns4jd0p8&HnBc62-pHV{K%z7&Ns#dmJ?F`HVonqq#=j!SOB=%FD+x+8iM-%?7 zFgL9**X-t|)ZzWT~zrjK)f8S$HjoZ#0+F}w=wr2YwBk=U(B|-VU zqh0=@Yr@hd+CNUdj75Jb_2;CRUfkREX5Amx|Gtv1oxqf^Fr1rDRwTau_>l>;Xijc! zLu;#MqyW<7PU|%0ZkgZcZ%cXd=O$sY|rB>EVVVuGvSI>U7Q_jI?$?6 z4U==I*e|kg!2LJ9Rd@F{j!7NnFpE5U^ut5}jZP07IL>Xdzr)B#-Q1i5S{cM5><1@} z${#j(v8yZ$9x`$yrAg36bPdvV69@_zxZ9RtXu&VcX>M_blL%g}a_B}TJ6eE5-(Y<#Q>IE{& zNLUme1PK4|>>+Cx9UBp~0FRqSDeoG1sr6Xc(6B9PhFtXJ5BNRu{P7IlE zI~i7NTVv$rk-4VAE+Z5T?mIswacsd+Q!2rggwRgep zC|m((nrg+n(QtYWlJOb)H_`_43kn$Vj20CYP0Y+>q^9}E3e{hbJN#MP^P; zFa(8MhkWr=6ctGT($heT^Wo2B0X&%q(SjD3{g9_58oD$z77Fm3USWGp@n+>{@nNCr z>gt7mZO3*_a7;`(zbrhu+1mNm>fIZ6l@^o#WL15uKM4F=T(sF{uWp9w$5XGLVD}WR zD(2Ce`8bo@{&w@?EThikEws{O2?spHa%ub^(ZFon;dN^A%9<`A&;Go5^Q&!( zhN4sFW|xD444h>N8i#K74fu_AB`lA;V!iO^$M@7u#~UtI(*HzHSXm((C)-x&DWdX1 zpNOU>pStAapP8d(`cI{;VZokXDI_rb1* z-p|^|dcV=!4kV!>pRYh@eSfP4P849?>D?8q6)tVBYjthvqwQ`!7+3g02?Zb=-@ACxO75=Dttz&|Gd~bV~hA+zti|lQ^ z`WI@|Av?bX2M#a>SMi{DSi zO9({rVQMNL+HA{om5meQFaAbGMBEvVXc(Zc_@sJM^QzbWdgqnxhjwUuDHYuD)Z&cG zO4H+TnNo}Qfw?9-M>;7z=}U$l$$$Nt>T4(AvETuSrKY#-vi$cGJkC;5QfEso;D^~G zD*CRv`X*%YEYaEl0!NTpL-0wI88JF}zt?o{C5ExiO6#yOE8TY6%EHIAmEWn$Ic_V@ zT0A<)yD;l8_%uJX=s=hOs@h=>>IIK-Ha#Ky@X@d3n;T@-J@Tzl-|sHkj+ZwzRn##t zBEruw`(^H87BOoYYwPcv+JfBaJx8RJixNzeVsO?F?W2ron8}6G7 z9Me*8401O7UUulB)6I(?whAODzDH9iTH&0xyC9=g0->M*QMo%=Qp(-u4v!DKnHAe> zISSEhO2dfCQyM|?Q^(xXQif_FFb0D#D9YP@$_;hYZw9Ku_) zUTvJNI%I8WWRYpIR9ceW_w;-fd}E~DB&zMSG=6Go>X!=x4}ppiheitHPDV53;?RnM zFs_eEU%4*4f7hbrsim|fYVbzpok;#y8x1WCFBt6Iee*|d%5u=I&U_*R$kU%0+t@ z7jc)myJ;ih$&+6V-MS5nWuxwEUA*}8+W^ z%xxYkGaZQL=m&rcBIDoF?vcCokQwa}GgWI{KfpC;&sp1l%XEaxWY+0k#Xo^hZ_D}r zG;>_muI@g)DZ*fh?vCp0%x}Jj>aBsG1euze8bVo+POX2E|kptXQFzg~UULl4I{181ovCLZRc| zqk1D6%>0h!iIg3mPG6?1dJ(uSPIFb$!^0zux&sU7kG$H&bxlz!8Vfh&C*NE%G%!%H z*N_i=k`&r*XYuTCPal!Apln`F(>uSpR3}m$E7uAAVEpW9yASq%o&h+j@iz(34Wjd! z6Ao_E)ZCnSQ<-;Nd=J?iDZQNeilg=3W7>U>ZciTI3={h#SMKu1^>^24&}IU_)iL!I zp=$&&L3paPL92xYhs#H2im4ygzZ4Bxi@Em0BM@$)=|+)!<$=S`;~Xly zmo{o0(>edI{QiRnTah@2wwEkc#C_cGaZ*DIQ|!g_8}qs>W@|XB%UEeQY8LvB1=lnu#}P)v zRwSX9nn1W1NTN8%*GT3cat)!6Z2x9Y>wE6-%h#TIGVW&b4RR~>yjIW$+gwFDvSpE zq4oxT;4xl4h$Y{YAeqSBtsTK=&rw$maYuytH{}3ol}Xk!A9AkzcDirE!phoSzB*=` zfyNmqwgiNY#Nj29|MD%w5FTjm%?nQXi65ApRgC8s7mvuw5+c(R@K_-+F$bIyYzbYF zLVNd8b8Qa26E8e3S3YSd_$+dVu!snk7XxJ2{m6Lvb#sg2{uUmn=E))^Axu*?CUpdxK|q8HIT(u$c~Nooi#MJWKl&+$z0 ziaZZ|i0hEs*J-xL7dz32H*Ehq>I6Nxz&-~Rzu&jaXxQ7&ZvA#laANFB0AQPr5nB%r zITTaOuD|~NbruaU$esK%GSUPtad@Usd}?|cy&faRw;rH>p`2%iey+$4EH5v)lo@XD zV-rmteraY4~dEiJpHrLmc5Q2ve}2@*_BetmDj$tJwMwRI4APPd;c zy*Q|yY_`90IKn6K;@BvMy!)kBYVrx;(2zzZB!nd;B^4?zIqugwq7kvvb&4A5sdCm-M!Vcp^*`5cB*LNhLslcJu-z4zB84BBy(y-D<*{U(1H zzjrT6+-baXR8&;x7l!2%)e?@@K{ZT-qQcR^+fKTtv`k_x;%Cc%2hq_4IRzU;fJX2= zOKnY}E1X8ctm8cLkzF6II%aN+@R;k*cyRJscN?pRXop*>QZ z>9@=%C@I5gjmOLgCx?%$l3`egI^-D=inLkqowNXlLQ7fyE_YS%5Hdwb6HS~XugyZ79Mi#|t`w!o|8kbty?6J%WzR*Rj1{0~VeMd1cU$B(PQ zH9<@)B_;O}-q)VZZ;HK=`-eNrIU{#ntm~ea@KgA$um$I&^AkHey8^I^n3m13qx03* zL88+|<4F<$07ChCC`rCW$%T%X$f@xv#ad0!Quz;jv`cGgYulUJSmRx)%^h;Oy ztMpsht)FX#w1fYb{sIsU=`=8Pl7M}JgZ_HG9{0)kuLRbrKyVoZd>{_BhiH7k)N6w1 zD}46M0n%5mx$oDKJ7f;E{Auy|*_>9Y#`RlUUQjR)#~u^*N%;6EI#(|2{`+z|{K%Uz za(H1PM?WR!F_kXrsI5<`1fwwfh+pE z)o8soRQyvuZegd@I5{D4qE{tSzq|g8^M`c+rGOuh))(3=w6*%#Mz|hTUlB8hRc#9KmSd{;^IQEBZ387 z({AH^U{l%QHwJ9=a1UpO=&E^#CuvefvfjBwP&OFCMslc$37-yBHC^1Hqa( zn0{1Jjj;|`R3IC_mHXo0LPvgkzJbHjW7iDL!;OrHg9a7N$jImt1o&w_h4|n9ueEFc zXL|qRB@QQ-C}Qg_xz%z{jIrgC)0f;5$~BvxGsVWDvkcUE$i31>HIsTSjS&2j&K)c{R-?0}E^8iq7ZEaoa>BoYZ^#%8; z(=gIkLmZYk{Sd7eW{=r{bKNGOX~`m91Xa`sB?pI)T2QO}S1OgzJVad@gGo6FWhc6b zYUARx4GmfDkrzHy@ipeEcSu$X2eTpE76foSJ|EUu@V^{~`xb_s589n%*b%oZ4uV+3 zm0`eu0w%=c@jc(Yk}LVWcM&J!5aslHsiS=Syfuf8=#`hIQuXxpJF4dE%gZmrc?Mph zqq7qzJ2WE@0w)c2?rdYRuEA}H95TsBC_&7@BKr)L_hNZM;Oi5kV;%uN`!8R*^gsjn zStJo-W(LucT>!l^wA~{+mQ-`nKL@7#*a3;jRBuBN?H=^-P`f{>VLa+OYtnT+_nU1| zHrcEF1`LRl@3e*nOCVMFy@vxWXnV--1c;#r!Yy7!g}~4ZvR!vtFI)t0SC~O|d`ZfJ zK$0L&*!uXe`D-fVX0`p@E+0k58~@34B0Jt%uRZ*vVCB*x%H})-A?*Qqu`0MEA?<`D z8F=>nx_RA|3OtzA9CXCzYf=_U#mp z&!*zZ?rdOIV1hfW_eX^RkHydI#w zuS3mPmGN659;^eo zQ%d)9=xgB0Kbq@MebeRg@^iS?<4r!MeYnYM{}G_SHPmJ9*$Ws!MsqUG%5 zQz>tvVVJ3xtnQ1*^pK&&^BMII`LtCV?JnAk%1&3fS-8YE80^n`Vb+a1z-!ftIoKV! zK)BbWK3Zbzq@=)QleI=V#hac0(KN(ls&g2Q=%uyhhg2pCSPl?6L~_TEf;0o^562g93$XDF}u2S`Kb`FYuK3DLViLAJ7t$ zuome3*PTm5n9ZB8XZGq|g}?IakM#p)h-$%%r0YR>sSuDCh(sI3y=6R27Mez({ZJ_V0W2l4jE0YX&gpaa5;^U@R#e(E8aRqKGO9n-{~Ur|-vo+x!?AQC z0;;fH!{A?b#uO*FGCo&h{7|_aDIbn(S#6xc$MRa+|d&R{tlskgKo^52q1@N?k4!dzy>tKm$@gi?zi*Poa1#G zy4YQE>OSt3SI0jn&7PT7cFNw^$#=br&evY2Ae%}kf9en&U89ah8!B%!-(Sn9Bdz${ z(iPD73rz2x1j6&d#(+AAhrbDg;I`Pww+y!}Q4_-Qv`as^z_{!g9X&lY=$eKyM_+#g z67q22$LKr?$*VY2z!UDWwMc1FN1+VD8JuB8DJ&%O!KkA>mq5)a_dbG>=pWYC87^rq z2cp6NgPDk*pggllXeL@mf4XcQJLX;K720k6`HkECysIi3bdzT~^*qDF1yh`Efd2)g zgScGe<^D?V*oFQcN*%I?05l+ZM7lIUVxX!psocWx3SC|77P?E*!+&xlXMcFO0Z^l$ z^oGT#hq;B;5mAPHp3cL-7B@%7D>VacTTFDT8yh*)wa`c@yLgbUzi*p302~BlDpdjO za$fIANcoESs6S@&8Zl9 z6`m^EYsLO&6IslPmm1 EKXy^iBme*a diff --git a/_images/42099d5cc866a7d1b4adba531db3563a2c14ea9bd734526a36fdc1963942d806.png b/_images/42099d5cc866a7d1b4adba531db3563a2c14ea9bd734526a36fdc1963942d806.png new file mode 100644 index 0000000000000000000000000000000000000000..c68caed1ea96f028d7b86841abb29e5285e66638 GIT binary patch literal 34871 zcmdqJWmHyc`!9;R1Qie!l?H>BZb=2{PHCjOyH!eBN$KwH25FJ*2I=nZeLe5{?!Ev2 zamL=C&WAJ3hc(t(g3mMOJ@5OvesxV>DG5RJ2e=QAkdV-Yg+9n2A>HbSf4uG?!=EHi zbvVJl-rDdh+Q^#g+1P7Z=^}}1+E|#F+n5+?y|B}@vNkj~W29lDVWN6rU}Ixp%}z^e z`oDgG#@tGumWbrFEqus*3n3+IBqR(?#6Pz(c`^)7sJQR4=WhZ?A;Vo9T9lsA@MP)ikm7 zkWXB$pXkM3#J>N@coL8IAW$IX{k@l-k0|uCR*^g(@qRlL3CVoKdoPJZIGGoI5JBww z0Di0-LQDxiH4y%P`G*XQHb}hp_B3oRj!o4Y+{9;U9Xn!JX$v$OB#uVSXKEW88(;E| z-mZ1K!u@Qu^yikv$@a8ly+rM?b@1B!MoXp5*}>_`=*-N_Vo%&fPH&!660hGi(KFmY zfzaePaKWh}Qc{nYjfP&((S5JB-H<6z=jw^)>a4O}kvTdFC6ip8uCXsJ$WyOlfB*jd zKgh_p>0Hlkkfx@lxX;-4CVIKj{R{k`Q)eF}wDUB~6l&gS^?P#r{VH0J>c)4Wf$6G4!m2CrQq7-V?rHxL>7=)akTE0DI zzi~`WB|9J0aHrR5xyQ-Hl_i%YQ+z{9f>`PJyLayvSuKemqvM7ps|UAey3h+DKL2GY zaf!9pBi`PxU%y(|+LDly3(eDou$2bBM?8^LCAdv9Gc$o7wZuU~tuKV-?!7#ua=*S5 zOW>YPv=#E@W2F}ohd=b}3pxCN_?UnsWOB<@Qsn;%FiN{#8w3 zpO&N;?0@Zqc%0^thyVAFOVV$Xx)a7`gXuvm4PVHpoq0-e8|7?aiQN*$PnI_E%2d@4_S#xAC5f3Rj`M1hSwqpI> zpu9Y4Jv|C{4pwhXIc;A)#Qtt!r6MKuR;#g_tJk?7S)g&VTEu&{Pj4_rcYd-XS?_X& z_H@oY^k0h~pJwycDV$LI=^_d1$q=!4z4CEx}v$`n!FzD zUF~@3l2LEbGmV6xySs>$IW5=s{!v$# zqN#3cCmIg6kyg{U$FG0VYkT)B2#K~m@)?3k^(s!t>}spkAFI@8CRW6VS&*9QccPTb zUe);12hUZMe#j<$S|7>^qmV_$!orGc`7sjk@*(2+x3KE%FLqpV+tb`~Cu?8qGhix} zqI6U!CboBVl_ox5Pa?qSd8Y9c6O#{$?Dh4vgR}F&<~Sp_%jsvA?I*8nLuB1$DZ_J> zioU8p;4j7`|IC~8sWb{_=KA{bXjCIBh>r-q$W;4#{HngEk57sHj(QLQM_YFctK;50 zNl{TzOM8xQa4^c#pFe+o($eDfMjLrbs~&4KoZX+yj~dNn_|?nHD@lXb@9g}%*!je) zCyv9Xpn%qVw*EDX!rAyrbaZqGv$29m82S6|XlBFdYUZQ$;pU+sxn5~h%}XX+bPOWy zmchYLJXW*azm0dG%XXI;k7j->AS^Q)PKKt+_V%rGrc_euhTZm*ufIQPJr2XCn5Kq2 zhd|_*F~w}#&ELz^Dk1em&z~bMy2^3^xx##Qxg(TJwcaI4xy(q@*w{Zb6cd^s8#}v} zp#aZGZvqH7A~@`~AK~Em3Zyi)w0O?9iq5Sn zesMW_@X657*UO6pHxN0E!TaY=?0C-mza}qO-oK|sqNAsODH=h=WH$BF3l+=lP*BqZ z7NY%hZ=uTdLPDmg>nA&P^^a_tV84?% z2YdaFaJ>4iM`FtBMrug#mpqGt=f_Ll<>oQ=RolKcDywH4Bf<}W|G6?@ItRd1)ZJpzf zw1y^saf{`44RF2Syoc^8 z*cp)r4?|$C$t!f;^>FoZe0)6MvnQCC9#K&^N+o(}E@%64nNnZGq8QT16@-)5#KgqV zxSS6E{%!PVX=#y4{$N;bw&>8sGwBatciz`Qioo>pEHItG+LmcH(4GS%VB>THdS36 z*TwNxio@PKdzH_lw$1h7oWu3unD*d1tJBVOaqLGg^n0c#j9%02(&Mq@>g>#H{fznf z*Ibw1_vynG0V5_k-+&g$lqA(EzW{9d_&?z}8LM}SWpJAJ7JN>xP8>f73iel+Yuvs~ zXuUn9)YR03^gD#)O+-XQ=CBdB%RRv~nItLl!m_dys0N1{qrsex`z}Z746!jm_-q!R zx2J0`A3uH%7r!=Dh4qY*Eo~f)1$MxA3E5b+Emwt^T87Y%WPBdCfMVUw^o}d;m7y$I zo7KKACp)u)$^0B}=Ybx4XH0b~8>8VZ&_ zO7yyug?_x!sP#GgF!%*3!$i4h=iWj)g-j|oqaIaLf6>>O?Sg&-Hm5@*MtzBw(5~Qd z(%WxOG1X;=q$OLg^lVO61Vf40?W9Guu*!}|Ke^N>P_Jw0HoYB5tC6VF5faO0$?KFh zA5)^!@kAg9UwEab4x7U+Tj65NO+rWKpM^HGxwc_{{KDeYwT~07kBKBrb*cKti%VRF z5w$lhlnn{W`tQY#lq|Ix!h_{1Z8Nj$f?f<%=iV=OYQ~Cn(WRw-P$?FEzP`F}w-z2|HYS8cEfI#5uMyXGy}_YmM?P7CQX8CR;X#JKxl)s4H!3soPR%L$2ErM!KZ z*)i@j22qnzr3I<;$#xb=8~OuT-`c&oYN@fsoH}G zQp~2S*^S-dzif79;$Tzaq@J9S6lkE#t+U4iUFs_{{&;=5fWhZO{2{y6VehuHv$N4q zX6NR(|6p$9Gw83g>RY}T4!@{HMRU2W6B_C1O<3qPH-eg(og6`ujpTJjN zc$>6V^|~ki&RKfKzO^2#wA4P{nJow{|Cp=zzQSypT(&L9bn+pt`0cyDV_11QBTQ3e zGvZCAtHYPOWANCCUzVo#8?4T{BRzkvAQpWn8vRgKSxIT{po^c=Z)LK4wU`Diq9kCnONT8oweXC0(N*KkmIJ9?SLv z_~<~TrL|s^`YKC=3XjDkQKR8nE?drvM06zNC7%F+ zKsE<%p!ZTIR*}*06XkM~js*8>!`1JeLPcE8$A33ByFy5e&$es4ovK!%nL8DaFF4)k zSXVe?WxJj|P|q9=kZ#wOt$$@avf0;(yY>D1r`WidzD#MxbcwjQWMlK$W1YXhXkhq_t|& z^KSGNLLN6x!+Z9}o3jDjUv5Kdjg!wQ4`I}&!DTk;so3w~Wig#-fl`PDm(;Pmu+V&Vu(CRo<)gl1tO?Bb;dEio_b<&pv{w6z z%tj-*{&8{I(X=WT8e0=pP!^YeeNm&RFaKEZer$rhug0Ee$jG*u`@vSsx^G)sTL_sX zA%k95*Y%B@=%mX>Gn`%9hH3vGeHgmAbB_V)HT-LLV9h=`Cjx3;pRl5VrG zu>6C}t-Cd`_46mOi^1>kHyBmcH#e_VSk1rQzki>lx*dRe$5;`c!|tyH{oeTf`Br~P zb&X_bzc*xr&R6Hm=(tR$tMrkPKO5Vu%moKLuISCeBESMe5)%fA3cBGlgytp zsCN4{?@zrXhjkM2wy`Sf$MXt&*Fx4Vod6_5T72o|xs4$ncJiLsf^luo&33|{Jr z3jO~5k*6i}B!=)eA6b8^`d^-*%G5dtZ_m{6r;A1P8!!#!p2f{9AZ1D~a6rNQpriA_ z&)(S@AX1&{+X!lF{psp5!>5`P7kW;~h$7{9uxztE<-fO(fya)Ymo;nzH!Aq*A z&6Q*W;^Moa*Y=8|ZEfBt7=*jPLmoUO|9)88qB&LPEE&S%{{D_Ytdmh$w0d1^sJE^4 zip02E%Is|(9-ht3&C~6goe-zgrqk1l3vFZL&TM&=EakHF_gc`NsNsMn84W8NFzr#P z=>7C{qzw0)C?hzX^SN)cF~Zt9>f__HH*LS9RBc1?^5x4lE4GuEpNdR?0sx>y(Q9i~ zOD68#G*<&o!{>DPuH7C~q}LrC{A3j#D`FpLw@Zkh+<*EcNG66}`<9U{J}7UjHf+cU z_E1y90gQmjhJ0Rw_+iP7wGIEQ)k=@3i3t_p(%*3$1&#A`tgHYvV?DjapyMgf84Zy`>EIp7RT?kS zMgbV5sH8-1HpK={R(!IY#`~eXzTdMq!hjUvoJiVjO?WBiL3Kt3pjTGLte~LqltSho z4vw0F?a3&0bR343zL(z$z6A!}{ngcF(crPXeBXSUQa-omcx^ZWuqpiK$mrx4o5k9I zuBw{apspm-G+F=A#waEZ&ij=fE_4Dv2_;3vf$}`m7}kO`e*fnQoMu{DP2XRppkJe; z8q?5logVZ~+iZ^Q`S%u;mZqv!S%E-!7uXc#$NT^f558)ydz^r9#>U2i%im+Rbq)+X zIla*_y61aRURX$HfbUzBs`phsiI>01c@&eCl~uXI%(Rahs)R@O^;-9>A>NBB1>I-PrI-NMIEVj{kJFzhuCKD-uc54Dfz+I0tLIM4$DrQ|Je` z>v9W5=|hQzOlQxb|vI_m}tGCzE+O4Pm=SImV|*JWPRA!a`88Ju}+5w z)P#C_OW_oO+0Zwm6(`;~Qshw3$wu?l=C3ZKy1J!>cO}SKYDmnm)j8BbU5%@ZW)g1Rcjkpv32(g1e0}lNsS^`1RO~#Ao zHa2t%u>r9b78SMk5<-GnV+98EG`zQVD7hxb9B4h6BH8{ zHym8<Y&M6=uCS}e4MKUIr-^N|o44ZEk&V+CsE-C#nlWZ2A9>a{;lPfrV2KOw=&>H#MM z3eeM+^zCV;S`7;@EmC%Nk)0E_!_`~82|Q_9t(0tRa&XpSp_r|6J^XyIBB`yv@-zD& z>gvjs9O`TJ^fB!;Y5(b|1C$~Qi_A}}QZ^DvQhkZ0>6X(iSxL{2w}r1q7+W3?xUAZB$i<27aYddkk^_}eE>_K{)1czI`BWDCxq5N}G8KRrF261P=>Hr(F4 zK;9iwp$q+~EB5W+Cro;zSFc|Ej-bZ7x;SA~M0<7Qc4^6UvU5>no^Tz+dvSGg*3z1_ z+LvTJa6+k&`!z1^wg2;Ov0Isbp`?jMCRxli$zTpw0G{~q zS}5(=!>#xq0+5)1;6>>ie(AgO&spxPutd1|gdrV@cTmSVp%L#0T^N82gJ$yHEnI*II!K_oa+ zdo!ydL;h4O=J*ZZG^M)p6Q*FkJOxJAa|h4|+dtppF_@MR5~9nHAkbayd%5Oh%U>OM z3F?p&*JqZzJjFdcz~h?DZEpLD*OzxYBB-IKIfQUI2L)e$uGeK@c{o+Gl2da0^ugUb z$N`@&PuIF)STUeH$CbsYy1BXGv)kMg6chyWDC6V;by~U9;4$oNy@}Ey!wFP0bl3L7 zwFQvr7}RQx&lWB5@SNeiw^iG2PXVd#o<~xwFnbH%H^0n6D__?)oa5d;H5IE~=VZtg zmMwZyHK&>;W7t>s#+KT0OB-+wkE2+U)OR?aP0h`}dd9ui*;SfV%NIbBsvD<3K z;0b8&?hc%FyAWU5x`_cBi_u~Clikit-spv2=?`iZmU5HvrmacVpPY_|WNFxH2x>o8 zIP*b3U>`^}9W(RQ=E3<1k-*u$L;!aGNB!4qH^!s+Jb>Q0VF84OAAH#ur7h8JC)MkX z7l$fPMkq3zb~9y>ubd|_Txz5(TWKM^K4N;<+D=WK2mQ9SsYxbS8YdzxjYLFuLhKim zK5{PShdRKRRjWdZ)0na}_4L{RTT`e_&~Z%Po6gZ_;O4N~{M!|^5P-+}A%o}=)yK5Cq*(L>4ZDv&12b@bVF5Tv91bJtAcz*hJtz`cK!!o- zco)Y$OYd@O@$O=Yr1~&Hbv~rhN7pH0sya42oP=`N{f%#Qj7p*$XYTB;|=aStY)f7d_L)_)i&JnTZT-ypgXA1go)uhzm zrY1uzH~FuNQ<=a0U}*jDDm_)MtuIeyLx(yn$X{05$S8Zby5o?NhK5F*b&Qpfv3b~* zFqjC1&edsxaFJWD3)^bBE6OGy;`Erwcm&Pd+n&AfmPz#Jy{7ZpMbsKG{CAINj9*h8K0H=#=l9K8e06E-pT3k}0WCZlctA zb>Rlp?lPxWo>KdIJ1T8wH1e2-%VbO2E*BRhI2;SMn-;cI&yRSFmZFoLuYq!t$XWwPOjgBkMcy} z4wXvzmt3V1!z=45n>9}0XOGhuqQRYZ+qX~OqSvWTHAQ<6_!6rt4FO`aG#V((%nqO* zD}43P0G8z%8&^YTw>eb6-2kNwj)O1MH><^OZdmeoe|mXtJQEVICd&!L1}|D#Tl;G& z7%9U;fGVzWTCy7SeP-0}vDjY}#$_?d94z;;ypM{i4F@V$ttP@~*hsp@&Xq=uz5Qq- zGE_j}!86LQWwyw0JbVKJ{sO5(0wgWn;3ms%w<(|+>vtDbZ+~}=OSx?Qvp~u+C}B_v zknS@cgQDi=>w8~B7p*s*i$Be;6-0mdtcAZ)@q9kVkMVMJTE1Dby_H}2+c=HSR_I@0 zjw!&0K<7}W=ouNwSXd$=X%ooMuOcYrBlNnJ501C+%1tMQ8o%=Yu=fZ2n&Cs95d(Ri{y{6kYC`y&ezcaxPDiN=ojEK2nLE-I!~3w%I)80s@I>I_#zw zK*a{F4s(|-<4*{7cyOrY9$8;?2q}EKoLF;M1{}IX})U`lNJ@tN$n83zoH^Q zM(`~LntX$#yhTe-&kxviKj2g2T9y{9Bh99j8I4D@NX2nG)`urEWzxJQCayJr+_nc3 z&22bGuJk4(%Tf9U$|o!26crZ(`U?R}3ZUw9U|?O3`ofK$zkiAXwKJl<2NRx;kL!;W zs*{KRP;H1W-`H%aSb>v0l&^+T#vZ@a$ts&FL?2h?dQndHTHr8A=*N7nYLypMVfVc% zf2^B7U>^V(-aA}l{Gi`C7xo9+?c9(U4zOTK|M$1n&!L)-gBl$Xp#UoVOan&i>}<@h zU+qAL{)81Zwx*E*VtNVK9UhZ*%QtRL*Ylrn^ssZ=vy9hRd})-5Jpt6v7Ot+CAv-npFLnNeMJeRP zT3W72?9HdiJe$o|bEk7YX6i|35N-Aj2ZF^^=Y%dMAL9!RpUwUHDL1$M-qF$g43~zM z))Uefz=g1kH_#N7m6N5&zrl*iQ97Q`{F5f*%bS!4t#NFE)WsrGsf30^Bz3!twAy_Z z11nMw%ETSA3`rmNfu<^JGMu-?JV3Hi;0~OsGK6jb6lSVcJs{%#P-qs1a<>2Mbe-9J z=ARPdQ6lIB)JhxES66jwvkjjK*1pO<&%;lm|38eL?99v_c_)tz6k{+L6I3s%$K0?OX*SODzu{iQd*0NM3rhckjQB&vY-!0T(R<3T8_ z`1+{%ZDQgP*kr}#2`JFZ^e4;F!2ra>iXu#%y}9gjYjh&0aseu+v{JQA7vT6p`i)7efL3M zgS$HjEomwDyy$U329-=e21MJaLn385HpW(HF(-ojaPv>ODcq-}tE^cKEo0W8)vw}YQHlbCmZ ze}8$$bfS{ZQtMB-IfwN!8+a|Ch@k^T^zj$PSRXRnZH;?Z`V22;aVRSVG=#a4yp5++ zia&v!fOgS%dA8kQmSMf}JdE1dCuWj!xyy2CzSSBEB5CU$RJ~YEM^6F{7R!@uYACsa zJ`dFlNAs<-?cMzX<*fkjb8?nL^XKA+`y@^3`!vxzrU#;f%OkIY|vyUQq zYBd4FIgucWqFOEXUB^z;yIvH#T{$V_DmEs*_prfEq9X;ZI_bR!ve?hRpjFfjUb((ztK}P;NKY*sck{>`+Fg;M{kJZayqG%3k zckAa{cWm&J+|m|olfSc?tHX7KZK9(#HO(*@4v-536Ml@I*fwY6w>B%Ulq{JKNc&s!Bi^9;L z?1e&4uK{3Gk*kaZ<$NqKnihZs$W*DI0mjg$snawDRVUi{)yA`z4@5mQ|s6{ zR!cPJ?fP~Ak^jfb1lH6B11W}ob|1-?Om4X~y^ zO;s8Kpo|M4IjYb%hGoOyIwxZ>8RG{dGmfJ|NTI-{J%~DtT-xtXxNXDUdn+(6EEc>o zMn+eD|L_>hkaV}>iaoUh1zfh;Mu}2E?2NcnwQ8RZoJzWmZSjgsqBuYs3^lz$YlI*Ki0hV{V+qg- zFBbP!R}J8t{7&M#u&|BmoNqPe9#3n2oZhjnRT%!?u_Dn4RHoupEx5 z9zp#ja-D5W;{Z{B&2s*?{^Y0u6JY2USto0AmSJYo=eV0)^;S!iMXnbwt8GPB!;iN% z_Q!8%g~mMRyP~u!D-Y?$JnyKe2wq-YeG3qqj!&7NJi5Meeu&TZxx|_^&rK3M*Jco8 z%P7+z!Z8TV!Tq`_hUaFAukou_mh?i+(~3~#o*uPt0Rci2<3e}@>^9Bq?J*w<)YB$S zZ$LP^t5|9A61Y-AEDaIt)!n%|grO}Ok(*|!g5^<5kuz)r`IE01EA7o5>FMd<4t&F5 zd=5yGkW}JwF7(4X2uuvRCKMXi3rBK5uTquEl)-_Wxbrb*xGS333kn>ARtp=5x%q?4 z#uFfuY7J#3AZiLiGSlF}Qg67n8Pn;FH&q0wIoWHjXQH&k8c<<8ApeZjYD54wT?}WY z?&1>VpS>*r$RF|)Wb>58^YTZ_Nux92>uO!`fZdN~0qT0s{bB_)<79r(zgwyv))}7mfRtI%>8O|E$nBKr8@u>14f#Y`L$_gmZ@4V}4D6=(QzIJum4?fGOu!czjt49Wb?Ii)0tkq(%<=;$1+b6tk_?DH zxasw(i-93wcvLKt2X!@9qXED_CNjo$BRn)D#af4lMBJW(Igy(BrO`1lvdJGPE-x=b zT*X0Gm7)xX!-_YJf|cY9W_Gd|4oBWifvha_>`*dVkP!LufO7#_-OsPHTrZA?@>C+BpOZmf0)SIwG4~)_Vc0B_KQfxdl)u5Px&FKs zT=YlJkK;Am<0QbM0mP?uw%@I&qJO%1(B0K_dbV-~Hf^+gP6R;7u`=T~@c0ZTO2hLt zynB{l8-c*ymm!JbjkebD?ePM%qt^@Vk~gCsK1U>gk14W!6$;ej`ue0GJRRXJeP4TT zTa6qNR722%uY7c#<$JF0KKKCJeEk>>l=>AFs*mciesr56f3Hrb%guGo{r> z1$Ti()-o^<5{UP4Zga{D8NHs>MhK!F;ZTL&j)z7;uM>u}&UlSI2g0pS5r}hlb&Fys zN5g0PYP&HNYLwVEb>~V00%y8#hXC0GES~lw5sjKJ~=NwSqOEo3L0%VMmz4c5@#jh{VI^cp+1SJ`4 z*pxw91(tz_irSePxYdvj-Uggmsd^WZ^Fy4Fw#V!0YXd9+_;0@ehysH~i-|7@BzxGR zk8ZfYoFWgusc)gmBa!&Pq=WB!GE$BeJ?5RZw6YSAiqf_hly(PHRFW4jK5Mus?G|L< zuQs>(>w||EuaMBQzuev4;%kP_aZI+-<65U*;&S$i3HNj<(n}!pvrIO`ALMcs?}Bb4 zyn=%pE%NMQcv=IoQ0sH|L*;!|>|zbV3&6yeb%G~elbcc*JAkSJ#A#3I2? z6#zL=woLLEEDm5snN*hasTq<93~rYWa2vcw>t*P;{vyvhr>b}smTW~gG$Vk&WC1~i zvm!enZIS>M`7@yTzd(p&_0y%AV4$a;TS-_sI5xcp0F2&-?Ol`lFAdRT$i6gAPR9KG zwB@t-;aslDN|%tUIwASxjl0N}#dav!EkKsAJNr7mJe}A-I%?|ac{yx4HZk$rBLC&p z;h-d}_WnY!H&NSky(=at6q?XHl?z10u}9)M0DypAx1yhbiI>wdY|9DKQGaLKs9_#R zhlpnaXqCj6qowrt8k~p{x3j{--CYX^j0pC`zD4JL$-9~W$w(lqC>S9;9v2BRH7z9c zmJ?%Rb1N%(@_1Q5;~;h?GW;Y4Freev{#$;(r$0z&yq`RK)(SZ;K)6P`nyNzB>1(s@ zY>@X$&5i?dG6*pZyY0)@hFhyVacq{J073w>=h|=tTr?oI^mwtI$ynh)q9y1ryMT6< zIwNo9t$F$QC=_zBL5jH0bGv?ZhEG5M8Z};qB+=md`4EjI=uz0Zf5v3WjHqce>OXyF z_&r_2>UhCIEWdIEG6k9!FJ#KZ2ezJIrEou>2G{Kl%0r98RcW)S%J&eAwX`&vUl?v_ zHwM4ueO?e>mYmh!UrH&8xJjaj$eCn9P#BG=2WYpH;SW$zQK_i&98Px$;R}n6RU30F+_u1wBMa1M6MYDy>%@F8v8-6hdn{y*gb8hFklQB1o%g7i&MwI#>U0l*By{zhVHDv&0lr8YYG8_NC>YmK z$dA{3`dvM*7lL`nHR?G*X@6x?Q-TwS} zz`?=c(fT4_7NUvwLCA-gpNxyCkx?>-{q>jdaAs=d($^aGw-KBY_LI9^3uRudGgcG) z+Ui(Q&B$wdfLJZFvpx_!{UdFV^$en_AR~bQ`35}n6)34g1+!t`6pdF}vPROJ6`Rje zxLw)amrd`|f~|acxdSfp-9KST z@;M_^YV0Q(WJqp7<;?vceE{V3en?OqLa$AVw$6&R+OOMgh-&{ft&ET%CI+x zSUvb3A(;UEAq(Ft9fTt@=`z?5iyh4nsP~{jc{=UnW%lcYSKm_*9(yuQiR2ubB0E{(_jG}YxTwJz^<8FTTSu2MIoS=ik|;Xl!W&G;>F*Wwi|Be z?r&kD2xJ#X#eT728q-W5=XFybuS%0f*Tq!ZwH2VrTc7fTcFA+_wT2Oi~*oBI=!w%rW&6(wW?I5 z&!9d*cC&KCzjP3lEW>DXqU;$=qK&@ZwA(uOfaqXfdUpoiO$;RBwY8h!ZVsOZ)492x zAI=@F4T{CFBZE{mly`B&&>6$ph#(>GfJH}U_dys|f^ZlDh;6z0K$7@dP!MmPg0`+M zKWL$AeMxvZ3e%N$Wc=Cif&bNIEkwsjK>lwTIqr;k*3#C-V7rbDL8*JhT@8>* zNVi#o*hI)PuO`o*KMf#9_ZwpF@0udQ&knG(#*5L}Cq2P7X@)tnhiMGUJ1wSx03QJm zwGIsUojNe@%=*ml?1VCg1_4kbA*u+ZrBYzo4Apt7{yjtI;N%1*OIm@(E^FQ42W@R_ijVpDF!%@A zt#YxSiE29s2_TO`s$pyldmHu(FSYMr^Y5>BBq(z`;bl? z5av37oFC{dw`=T7(*Ti!kQw&uO~hcX5@VjapcS^MIMb_FU%}6?gfz_5)H1#ChU}+7pVnHkdX-?O0xlQ zot{(ugn<)V=*V|WChZ>Suh4{1DV>*eh=Q-oYR-+zWbo(mtn;nYA%pA1!@0||K_&yK zD40;lSgoUkLI(MS{(QA2vBS645muXHx}d&@XUXVZ+Y*WZt2O9Lq<{!6Bn(Q1az+vQ z;pXO_BBvu3Xe5%ba@S=U@f`Mq%4Jr13vJUTvu@wN-t`}-b+kS|Tx$l<7J9{g_)^@* z8W;OMC4W{YWwG6vK}JOt zHJhnz^Fp=nhJv-Rvjj`h)kfI5v!O*P$ve}R*Lkc3~5*bXtnH{{jI+?|x*ZK#d z5BjiRhJ-$+EVZr|5rAZiEf)kp*~Wd|_^``9iq43OGGNHGxD5n~MWa zeZ74L46uZf^`;sQMr8Rdz%KzOz=dW4QBPrD#-RO!pL_@8APJ{tRDFL63L|F)kLCAjDl9_ZRPj8=fW+cg}9wV6K4$=e8vP2i11M%nISn84k7;gP0#q zDL>rFg@U#U*=7~k;nwq>b0-nQK41Ytc*78Uthn?OfJe5*GfbaqrfSi}y+=SNF*5J&Ez!U~5sx>0>?&87;e24t$1Chvb z-L-)-B9f{h$kAxSjhIZ9-x3vl6ZXe*yaqUKGfeA%<^rhq5l&R$@%W!VxZ#u$KzxJ_ zmJ=ij2Ne{@oCN|_n_z53 z_Fg;n7eSvtw|7OAd{}|(VsGN$HCoLOqM?Bwu}b~rwy=JHvXbuUd1%991%(l(w{I-B zRaxPgE0!583G#_SYX(#5E2u3Zx1T9@L^Hp6Ef9d10sg?x4@n#X7>{y<2rvZhz<3Fv z)!+u;!v}gPg=!`C_I8YoaysH1LR17)s1mbjD}mtn58wfSGK_Fj!K#2dCX+3PBay(} z2AR>Wgq{4sAACYW6A)F^1ThI3mVchgjo8Elqh&|$=u=8L&oX1K)zO02fw;_Vg9pe; z#jAR9G?u=iB555Q&5%?=EhGHRnl6irE(Sk&Uc;nfu@$cL+u0f9+v(!&~&G| zf|rnDOm}?3Wxq{~g0Za$UIF0t-IR6{Q&YI9I1@Trn^%0^XhWIO9uUJOK5{}#3&wLg zX3DN`0AFbWk6}=C^8yWfITErx=03=B?y1MG-}GQ`LW}|l}fjK*Dt5%02l*3d%{s;b-2zf zG}=ujyc&hG{lVTfU(M4qzQWgc&3zqxy5+-rmsKCrT+SEiJo#7SV~5O(`m;yV5SX zo6gn?ZyemnyeV?i`i=4MJc3RqfraA^ML2x`5f56p$XN&7c9C{FHoHxxI_u%{8*1N9 z3WyQG8BRAIY(!CP{eJox4BHVbC2C|UXsXGNK6|ul7qqtpz)VbLdauoalxx)Nb z0SqA;mZ2w?SR>}II=;WGK2u@#BcaJr$eV|}I3%Yco{)&F6|YI^bVsWd+}~Os_6H2Y z1S!AV3g>HCq2G86I=@p-Fdlk`?KZwYvE6~mQBW4`uS@Dcd4)kKcE{Sb<2%#$n&TvF8Cleg)Hd3GUk?MtC1U z`vT)u^xd!5K?H-_s-x}$c9T4DB>nJpARq^VvEp=$pO~Z9@Vl*z5GrNe5b47FJk)u8 z=-XYOP)i(KTopia2VtZDv0i|z5-9FC!$*tVHz2Lx@VHga7$+eCltF@AJEAcB^ABgAGn)6`m6f!?K$7H?6dW!m z7%#(bZ*KN@PR%`Se>Re*vIvMBTEpsQJ?~{fVq#(gPhnlUcKfzdgZtLRQAa|<3or%# z_VU<+#GBW)?iaZ)+f zG>)mHo|=Y>{BqlCtZYMZK*8ob!a}H&*>;14H%SUE&Gb9lAq4}&S2D@lHW43)ICnG5 zXM-S^7RTrF5W0L#FSj}1H;DI&kUsTg3g>ZmgGpRIh& zD=2V#;`ee^4lpmm)PbT62u!%n)Jq@Ue{hs_^*322OR>(0LanBpH>uC!`qB}X`TWEK zLq|Nb&j*WEU8cG;uyNa5f8`yFpuKwiI)t6%T+hr*Vr`%tPm;0TP$Z@{`!bU=7TPjbP`o&!2)wOGbxm%WhaIe~*h_b=#kJ#AQzox3p zgzI|2g92L7MZ0YQd3qWM&^JMPN*1sDQ3s+=Aw9sN(JRCTCl-|$F-I6N{mByChEUku zc|O*+K$z{Qu}}KHuhXt#%6{B$j9Uci}vIt*WZ(nUu^2 zbLu(ZjhfUHlG=-Tg`x z4y|+?42AJx_q}Rx$sl$7*~{xL%sdbApYpoM!z6LXE5V>xWdFvdrrSuevWy;LKgD$5 z>AJYM_(fJ;hDJrbh0}((Vo_C~M?tVFbvq~0%Cnw!!oV!hTWzRQ>^syjv+Iw`yq>!L zcX#Lk2FAkgA6HPl#H06AYaJ+n<9~tqQjgZ~5lG{Tn&gHYZ`E9G9Kc`d1jGgOqqghas4Y_=!H$)Ng->`>6q zY9Qn2-1+(ebWSPA*l}{QY%uxW{u!gPT3Q$OEjUK(8PXbc@bP=SGsS7f=?=qQeX#`oBjeK&c~&?e&5nB~_h!X7Pz2D)HH^aU2)Zmm>RlVJsw4eLiSO+DZ?wyUHetVEO zq~#7k)oswHL*8BNz*L9#-6$$zCnY7pCig>(0A|UOK?X8Q{&t<~1o@Q0U%r?_ zuK@|4)5T%-6JHkOwIKDv2PE#Wc;?#r)hlj7fRFbD?*JU~xND=QIsDtNQSHgLB- zY?DCgWCR&a6G5MvA|)oE%0Y)@w?NQlJ2ZW1uBSG28e4AZL@=Ptsp=m3guFAU9O)!pFS%B&@1{3E zs<7=k6B^zbMGG@S{|7;GACz@Siw|U@Lmh+b1k*Yi0lwLq!dgM)A_g*t&Es~Cl@JM} z6L4a81hp|lIO+TYY=yG|G$FSMj*%}6tf#KkjpVC|zI%rRZ?Yf}d^o+`{pN!eOx5qT z6S*T8tKIg{4RIq389aeecF@`SVL~112Ho#y2aMou7wvOAQfvXD;Lt#CKk|L=un8 z0>kb8@fzhGs&m2U#m-ofFGML3FByPMkfzhYU^1IOOQH_i2h4+^VnuE%6L=v*!1FO= z`RQQzPOe@1d$fU^+|$pEddt@Z00}{F6^EUXTB)FzDfJi<5kg?i43bwDh~l@Iju*QY zM~wW8iURE-0YZ`s+x1cykJHg%SAf{*2X9OmsJ5Mul!2%_{;gZLgf|vF>B6AlYw79z z*=gt2@_c$Lcyp@6XcAA{OpeaxoYF`AKOBr@N$<=1728g zxk0ymLkTHKJ|9xFjhXtmYj4|sTfp%ClJqcY6$SGX@hN(NdwfFp>~dLhT`+JM$8qx) z0Is3iESR`@T|YknUNW4jbR0ODEL{^SGb#f+)7L2~_q3g8V|TyW3sOr^e(&ACFR^E_ zoy=bXTrdDkp;cm15406h8g#n!q!xHH#KEL_4!oFx9h2<(ovP|o1NRN&tKj_ws}$9} z{y{;@K1AmLV7@}?5T=$#o~q5lM!?6Xq;ooa=g|-mCY2=ziFHI)8p;@ky}do;OTX)# zsMNbS%G~F@$9KNc2erimlm+hm`~?W=5qEFn5E1nT;DmzWiP&F6;sdhaD<*KS>=1KA z!MF{Re=}%goe|v`Di!s@m}Ii-vCiv5(vatG0|$Uyy|z+fe!!0HW0G)dST4NW1A>=S z60w!(M|R?dOOS;I8{q{cn7VS68eA=ZJI=QdRk~gvqhQ3}m{2pZoifkNRO}rbEcd5e zd=TUZnY;(8HP;5`SIjxS)wycHlmCTZpR4$rUzR;Ts?j+Dm`(fQV;Q28u@Z z(1QqscnbkIlxS`yn%N-i9P*;`R67p>zn@faK4l5OYx;rvL)H?&F zHZr_o3<51Qrjyq<`S0KifSWmAWcnJbK=mDDNk_Y4tqg?3!W$plwVz+O|1qbCi8aHp zgauM7zZ#QViWgA9LMqg(L$Dgr$o!jmtB6IXtMg~B=fqu9>P1?paHXR1&W3=w=uIaS zg9t7{HQd#rON9kK{nb`gji%TAqXUVclyct^6JNj^#X^p$pS{ZC=jShiAQy|- zlxN0DVDR#fpV86DGOeV65lfH?`u!WSKYyB|nI~+!%{+Q1x%$E*F6XXj3 z4^ouc@b(;dj}2n51jNGr!nqS*y1St#;-*k^ed)E4WeY!PD&$R^_kWxG-_res*8k}4 zOT)2T-+oK;Kt)L;OQvKMGNug4JZGvDLWU;^nKCCNgv^;zcnC>CqNI$eWTpt236Xhz z-rv1e`+e8{!`h$raqNBU^{u1z^xV&VU-xyL=WjawRFdlnO+Gdvy!~3hw6YqVsgcPB z4Q?2edgR9*(jbpVFw!*4kiZdbmp_86)erBYdlsLxSn1-u72q|T|!M5WQoGq zIj|?QLb@@MqRP5jgYs;lKiUv*7&CrNQ-)4-hK?m(A?TUi8{S9CC9{go@4?fM1l z7P`)HqGn zvVZt2TeRUYRKiIP)Gg@qj*b5f+WWKPxwUAg{3Jwbu`gg<_*wV;(6}{lQ+GC5W`hF|QRy z_gFJMT%!3<>QPD+AOhIA&NNug{VG&O2Minyl7ArKDEJ}XCfEw5I3HG1sKZ9bm|_1A zfftqUvVuCa`0&WC2fPL6& zViCPz!#mRY3dRRMFvG@ed4{NVo49IMG}Wg8fQ)vGyhDWqJ9Sw{M*KC@Nt)XK0B>>0n zf~q=`sjE*!C%kcMvzD=2S>%9}t_)^wVzr37Os5%Fe1Ol7bFkJ$E=zL;86tW@Tmd}+3DUUP*IDRiY_j5_x(Z zW>{mB$cV$HWl&|+TlCYQm9;sKlD!Aj2_T$YvSUQ1A8$rK*2f{ldM#FJz*_#c5x8{bhU@?Y+ zI0#e%g8Ey(oI?!DUg+fBft*F@H!ojYiw&T=JI8n3CdXYM!m{*c9_x-#{M-Nv$B!-* zyDjX;^L29{N8-k=2jbgOuAVQ_!J~_z`g@u_4aVMKMOH{%7c@j zODNh$T#=g6_m{E5>ScaOPYF(j?w$sJ?@g4;J>`jz)Fg!;Ih>qyFy^@3RzI3Cn334i zH?y$xcHo+_42yXa>n((^XnW0ODn z=aC~gfBJ~cH_=|aN3ua)H!$(H|yMB6Zx{WBd&?1sg`#psz zADHE2DrbBMAxYDJwR)*bVh4hu(#&d*(P3}?={_rn(A_MFCy=tU{pJx}UHisvhF74l zA~dVV5AXRURUKwJRG%yfWk)%#5Z~R88W{MEH`*R3<#f!`4uKo9gSi`BxZUb93Dvd6 zvrFA6$&F%8KV@^xvK)kszI%cdh5F|f5D%=muqT~^KqvU!DDJ8*b3ZFeecP-LcK7v_ zqrFGH96Gil6AO<7%;N_}zZHfrOhu0@Z#PC$_u5%9*I~qElm9wa5<>rF@` z+3r%=>PQ|DG=Oj?xe=m?(XS3mCn$>!JJ)Trm(9|Jh%y>wGR|KGu^obtBztC`vzZ?~ zCJyx|s$oLf2mNpwFnqvvw7Yl9T)OlJD0mZe?|IicV$nMdt=MyTH_J3%5rX12NiAXH zr?|NpMJ8Os@@#uHObn?P3zfhk+=DFR@zlXzl2|b|P%oqZ3Bw5*3V93BG{NP>+$NNg zD_2$|_~pt`-Q;)NVzCpi7ry3?@5audnB9SJfR3UWvTd&!si?P+F#bc@df-4DR3DEt z9vz%tYg&t@4IVE|t~sU0UZd~IOa$OY#vaa|aAL0VYoT%g*Oo$LgVeK0{`^*$ ztn(*YqEwh01xXD)*xN|Ww|7?OxGh|V^yb62!jJYI`%MnwCc``o8I3v&4$IYDSCJ|Q zpW0xVpACvV!e-aV9tQdtabx z4@gi>6&p5aa3KQeh0_g|NJnL8M)wK}&jJD2%EL2~Vk)C#TI!Sf{rg#zgS!~!8BoMT zM(zQYcP4kh2`&p+uG5pSY7BK2Q=ff$@sVDBME0rRz`$N8s}vLMeHFH;#tK3?i5@tF z)0O7*6#}q_;0~#0hp|vMAT#+U4f7lHixQx*v|_8)@S&ghn`%tU6H{1%Kn=J4798+7 zm)=ng`%|ICjzWD1ZGU9Q?Vq%>K4X3;v)Sa;1Y`T@kuPIZwYcZ?hx?%_q^51E_NrN_ zdfK}|HrG2B%P_$hCSW(fj`*MI_n~w{jppyWMw$(J2L~%)KK=T_ilDv`q8R_>oT=s* ztl4y`GC~tWUlm@xFAl+!n=zj|}`aW=FYVGvWdl5<|i}U=xNbO4a%x4nmM-%_W z5|87g==}4!sW26t0R-}}fG!`lIE%KtjWEewp7?%7FF*8)tH<&@|G>Zi?0G*%6RZ)h zM&z0S;NxiCK-{QhzY6|Q*;g#Y8)gb-%aR+7IIb|AO>34OHB$05nyCvK3 zT?5(9%V%FroN!j@*TTSev=#@U`+=4sW^{0AeqIB*bioUEkH{n;BI%jKh%TzSA1lj7 z(CVxdIYIV?rJk%^`F-@8Y&QQIBtj&>1BA1OJL_pJv=PWmBlH#M*L!~ai0z@%w&z9$ zb|!=UqOJR&+74;yTQOk%Ak_fyoDHBk^HjkDS13$hIj)?7ej?oCE7C$xl!y-J6!cs+ zE=_)0CFjsXEd@Yo9~L}-19QZaefw4!E?|BQIHJ{1-Fqa$0G+M&@bIHyhTI5}FfQt3 zS}NdMazN067>BJH<`Nl2u6d;m3OzL_zLRVsJ2}uy*$EquBMj@e0D)U}$RS{B3k}Tx z>VG}v)2YgB2Ygc-Lo^W4^$~yZwRDDnSeN6KxQd0ac(RuK_&qToEy#^Nk(O68~s`NX|VdTvU%Z|LJ5s<0lTbV z) zA5-(qNTiwS(!TP8HzpTFi*_x|u@B{a(>^E!Y8)o#QV9QnE}9M5fKDw_S*^`PsLQZN zO^gBy)w*@mFSM!uKn4(so@bA4vGyLi_>z!c`uK8`j82xovfB?@Rg-Q55n{whtr91E zfon-FwX!5(XCjxn#F_(X-NR!P9;xJ0M2bfAFRO>~F!O&?i65%Ot_V}ovqxpDi05tA z;(~^yc51M8W_Re$EfGp&1M@PEV6thcnmMVk_iL+(!u-Azv#0XN)7!j*a_^dDl9+N5 z#DzUrE-JBtr!y-Gigwe|s$}ZUh}v6>o3p5&%>JwuqS&OBm3r=7sh(9swmQ0eJk9YK zAo<_BbHc)3_qw7rad?>p9k6GBdla$8285fLyY-<{@{Q47YEQ z^p3d8u##O)bJiux{|CE2=Yh4;9Zu91El=`~#;Qb;l?Nf2!xly@v2+70Aa{KBnzO5` z98G>aH&q#}tH|4+LQxF&IF;;gzHog^#Iw~G1>W)q_fb6N@1V`0PB`;omd+&-M{s9J ztH)-6d|GwYwVSDhzWH^OC!V?@90;*2D@6R*oET3c%F7$)={xUDcxS*Wuux0fU78-I zBLu9^j7%h4!=#dmf?{*@lUe0Nn1ok&tn(SwBLff|Rh1G==(nSLqd$~( zAg5&^!z`JPN0m+ZQHos)4zSTteTe3*Ep~mg@fGE_LE!xP?(uPxXQJqMxV0ZEWXOF% z{;I}Hn{JAusy&jJzkEH;Ngd9p39uUQ4A)qj!)oiG!|0cw0$bbByUI(f`QJL#N%T{kzrJ72_3!m7Z)`)Y2bI8XF0M3Qi9r|^(GYtblnof-KgLQ+BZ_1~ZWuqQ zuX{?C_?U74G{vcBb&r9zXQHx2*df;&E@E!OH}Sy-8%ngf>VXkqS9FH8F*)#teG+<2 z!-Q-4c@|r)XlGXNUJu;cFW(iD1_%1SuU zMK}?hO{eXIaIZ}x{#{e{mP_lO#EUlkM<&C3S z3rrv7r_EC&x5WsU*N<%cl!(1MWqvQ|+jI+?vH*OO-(%wehZn zkC(VDgdr0ZC2@A`MGl`;fFkjLec}J7EAE`bk&8$pqS?da0)J&nu$4j^{}NQvBeW)E zCdwPgF3!(}LOb&arG8I4|Bp~k-nny!Z|H^AJq^kBm$n?Jsg-{{-3R@`L&q$aJgvjW zlgng^*oC9gb8@yHI0Yr&U;Uyj{K9UFGSsZ_HRb%4!S8%J?41Cm*NAd0O|51;LiKoLFB zQz3w6A!BBeR{z+0+P&)P>c~AoB#I5wr*-JK?jUWiA=~gnZGs@&;+?nlL}Xt~FjL~- zF)`7K%!KzT?-88|Dbd8S)Tq9hlYa?X_d8CeUEO z>aOIyQI&`-)U|S(-}xDopx~9JJ6Jjv`XNmm-c2&rFr*+^omwK|#FZwQfzJ-DF0uLe z7G)1Z^^cAT3{SKh&ZV_r_&0UeYymVkc+?Uo$O(RDMQKdJ=&0S7vmzRIfvnf;{=rg=I;#ACyztA z{{4qoG;&qxkHjXV@*@YrtoDJN+v`}6))p(PFKoJ1@LHYAHKRsM`G`x((S0eLE;B!L z_6J>B=Y@?-E2k&Am5$R7Mg|;al^yPM5?`Ndi5&~j<>%k;AGp+-pJK#F&7^ZUqq1Cs zON=qILHO#NsPx>=l?HbzU!QfaVPTESz=qX>wF=o2#CMdhRS?Xnpvj)54cuv%tZ@i3 zMUI`dcXqiGM%M5pu>Jxb%Qjb9mV;3hyHDQ0X2&4zatuxC*VoRfvE>izEzT9$AB9KT zc(O01?^AjQeJTROjp4=olqi{)Buh8D(){8;y0VMp)+2~e^z`&>%UhV6xld9g2Q)7{ z4~-QnF&X#D-7oQ)B_wNvv^peVwspe`&QxtpDSBTj>YY#Ozi&CY_$pX0*Tu?Xk|GC?)e~98mi|C|^tn6>VN|aK z{)iV&I@1v=AS82yP?MnYSQqvt@quO1)}W{jZy}TF0kknt<4WDYv@*fEA7L1GnNLLC zrY=zrcg4g0*`a*D4_9;QnyUf%T(|Kd6O$VYi+i%#9ZRdz4}+^+vAEHHA=kLVn)o>= zIa7z-u@iklNXtu)6|p@$tCVr=!OscDZN9JJHGC5>w&GJ?1bMt_oNxuYAX1|T8E8-X z6<+j+us1$8t}uq$?AeW9jDWEwvtfv4Brr`P^95$qaIQ2D-YFvF1`>40dH9WP@xbq* zX3GR<0zT9IF!@c7ehr7z$3q~28WJ8lk!7`$!SY@3Vk)6^1vi=URUCyC>M{^f4?QW} zkG;q|1$EXF7CnlhS*bcagVthRRDB;J!rRW=+cYak zNshK%Su_Rf_8wx_$J*SIRhT#s3(5*jgAW`>FJDf55X2a#TcZ084%=S=+6-wcQ!l+}Y2?k=2dbhNbb({B1FqeMq) za7N+Z1^>-OotaXxa(9@Ytf>e^GTLfB0fEMa6z<_NyK7yIA0mm)1dOex!gswY-Tn9 zsWZeow>0+=As5^iT7Cw8oQH)Nsw?(wy^L-l+nS(Q1!f{<%Toa)>-Jp~}l2YCP#Wji2!G^KP17mHBhKmtY?FmSA01fdY=5>VhJBl8Q% zgT5e6uMgEpU^58#4SWD`LOt>hbRLvwaI-)ZD1ux|irVw7ghVi|{UY@A6^JMM0z|>G zWmyd+EkOU2%he4a;&v%~DIEvnffO+0;7Jiagx045@D}yA;XznR`}?W!y@*>?8n{62PicS$hJa$r3_-==;A zYfaPe3QAP)Fk4{_0ezsehGj-(?eFAhX@*Q_l+Yf%%eOoWZweVEDGHY`N4!E`P{EuP zJ_r^rx~|R%s-!<~BasCA2RFCQlXEfPNj>bx5CaMLDH1BXWF!CpR+>Vd7a%gIud2{a zN&5yEn-3~r(1Pc3PSoN|+~id4R9F~0JNpN)AE;Vq=I-c8X_~)>5Fa!`DPlK4qY-HV zk@8H#K!%?3F0!5Y?u=9J z?UVCbzoy-$RsS?uh=m^pM6g$!$htS80vb$&n~R~&7lJ{%(JyCW+<6)}^7T{!lK|`d zlL&uD?5JTe*q1nH%byd0Itd;Qh-LwXCyU4!2z3|D6YX&7d(1y#0i4JPg}7MaOFH=C zaRIxK-;T!xasch}AHurerS_o*Pts0*PAM{w#9WA#B_~dV8C-llzZVO3L*6(PXLU$4haXq*j-W6yXqdxx^|3zL^O(`C3mL6Gobt^X zLfHLJl&s8J2J}$UV39imB_3iiZz_?MTA|z&k~m9N+5_ctN~*s-b~+~DVeXf+o;-nX zDbK+17k?fyBCv~d6+2q_;%W7i??R#Bld4)WSnl8Z{HIomCB|HIe~M{bo+w-YBr8kH z-U=Wd&)K7^7CrjciL7UX;*FC)@xxq_FT8kC@s8E#V8|N`9-+A@?wWT(y%}kIw!NtU zkbSVDkVmX2nvpUI2+f z<>YkD_8kOz1uF=KHyo{KeRJd2T?8~h#&rp!0emqe2^{E>`X>wet{2!Aq5F_VJ}#(l z^Aw^vvem zs)2j~eB(>l;jYB;yCCv~9V2j1*su?~Vh2M2gzaE(+FCYcS0dySFMRcZr<$3~gehwm z+hW7>ey5AC9Fd;-0+Vt&Lt1>dgg)qa;~w|;@#Byd?^GXQp?c3nh~Xgn??d7oINqgX zp@c=~I@LR0FF;auyTz*MsXhy`MQBz;ERzt7f!3-8MI^WCoQ_ZmW}^Tqkyz+Lap#=_bC`}`xjl2#(F3%SvU(CH3#!?|KoM(NN5)CS?%_OLUG04BOm`Q-0fe{;A;L&t)1gh9H|v09sDW&iClLS<@0pvW zzJW#vOdc9~tgXJNObtvCrrbce<|ef+ZuaGTZ`oQ*Pi4NOD}{3?D);8jxN1 zq(*W>(6bQAJ?u|Trod1%PC$c4p zUiP>hogGQJD4%!w&G912qGUC;OUr|P3uGvGA9Kz!`Ak2mZU~st>GHp?CA^i z$_}(b{QO4vNpShB#*Kt>%;o_~e~+mPM2T5nUr$T~v$CoIpbZo6Hux?dp;aLjy+7YY zWK7#kSQ4geP+AbbLGNZ{Wwqio`9vo4plnJ3_iDJYam2X`o-2akyo&ojXPwQ?(G3s0 znWFE%y|DdkPcdw@`D#f61N6Ak_f?M7K$a$0;$q(t4=L;5#~m z{Cdi$oyXFc2!QSn2z(^9X;TFH8g7AAM&1}^i1EXea@vp0rygRFKaQ%AXJ*owKX1^; zq>G}@&~B>=)k8Rm+3iWm_Gfu{Dg|YQVqdolxz3K>Js=*7l>UkDUL{9k1z(n|ij{@3 zEmg-K7XTy(6^8KDFE>%gA{5a5`JS^b4t?*}0)HnAISA67#9$f(5SVuT51LEQB)F;PdAX=Uu@K^YfpP_l4gfPS`gaK94$ z^0nJSJV=d8n7~=5YKQ{{N3puj`KqoiCZ@ROlp2nsl*=R%G53Th4KWg`NhfzBIJ51Y zZ`=bh-l)ryvT`<&GF2<7g*-OAzcXLy=o_|y55#yXA7l$dXN|lQX@)GHAhRUr<@r$E z)-*?d<(>!qTiQbyuTic`N@i;x$$<{8yFPgn%2L6Oqqg-OUv=3>$tMuFqWg6DNC(Zx z>P+jt+3_w#$U-p0bCpp`ON)kC%m=sk+BLd{v1dP_D+Ud_8{Q9gFow5jBxeZlF1%q5~Z05DVNGLzJDVVqovz%T;DL}p$7wO$DCkbwE4H9HYtwjRre z6%HkG81x@W+Lbv*Wk=yQ&-ggdsI5`A4FFvkpe$@*o6**)*3Y1YGR3uFxR1Eq!1B|^ zDUn7!h!*kxo&Feg^dxw$fED+)tBb25oI5`YV}?fL?Ck{+kEFI}(3qO_ST{=;3v^~uVq|>0 z29f8}BO-UP-(P92gh&|e>`o%%2v$={M{?bpRF9QK!cYNiMtz#PJet7!Q3c95?FHgM z?Zi=^q2T2PrYXbKI|*YkVVhc<89{zOJ*Nu8HG7tW7%ih%`(O-_j6DtHz=)&zZFQ_$ zLVpsY|6tX^a9(SYgz{`(H5-&@eyE&6MaC(KcTzMC-IrK73r7Z@d9Y<{um^Iv3H>eX zUaFMUvb-z3P=F)FI})ccN(wG!`Ny6l18U&tVxB7wUh_AQ+)#rhL~gOnwCBKN4Tu*T z5R+9})`bqz1(QS^Tz0?`0V<~A9_wjQr1gxo2{nz_e2iv)J$ruoXNOl9N8l8u3ZFr^ z@o7H}nWFw5KLV0Xj)N0by>vL>sdlV2NBER=Swocu`1A!zb z^9hgI7gi%+ujpaIix80TRp8*^;eo452}c{e%5dPSLgD}R!ACfgYxZ9C>6^E2@ zv@8p>(b2k^#}CY@?q*?82gSC~ z8S((|iJW_W8bFoBo@ zbV$cf6aH@^Lt z!}7T$vXqnSpFt8&1Tdhc6?L9mZ~DQ)i6)c3!IgHyoqzzPj8m~OG4-#VPe82dg(zgT z@ni%|O~3wt{$AAK$Dw-Po@39RhjG>M8}2g1Ot0zyyhSYmlO+2j?ayi-Hgj zfj$xwO}`H&dcq#T-_=ACkY)%kZ&VogoDdikBwpqhlI$|mmgsiQV~X=W0HTMd{jMdB zCT8L#M{@x5TNRFBBBI=5d3yIs2Zr|Cgz{q7o;|1VS`c}~!TY&gYh9P;SuIg(L0%Cd;-jXQT%ZM}^U^uJQcHaL32Mlo^Z7aWYk3IGfDloLL z6PPUv3(4JLcV~=_l0{5Kb?E6=WO~$=kjnsFzXi~6C+0AL=(lK0r3L|!CbhOKp?I#A z0R>exIJ#fc(?ksiA3W59%$xkSD$4ICu_0lY=n)YFjA0JS@GUV&xQU`|Lc97+%x#bK z9o|Bqw@Ai<9q+>KqZcCxgH5s=Gj@R>U;zIkrG_u~CMG_vEUm^%dIo@$q{GM!_|;0w zBr&DcJzzJt9HIb0p87sF9fL%?SAGtaLNCZ=jNyPBe}#ZL@I#EPt!shWq5=d95)bW% zv9;l9E=!vbBh>S}FWuY2-Ip8*<_EFGfeyt2A;_$&d9OAV zJ5M3Pl?#!Qj>MQ<6#saWyT5B3a9tvzN;RLH^RMM>0mlVd9cJ3Vjr5n&5lyi<<_NeU zlOtW}gY@Pxpy0?dy9<^Q1|>qc4-5rHR}QVzKVe1=gYo4T4p+p*sY4Nmw=fkO7B;%| zuCA_Fc+p4oOR;HTd-&TTg0S13%b(*n{GF8p^P04ZiXg5XWe4BYFB-5^6IY62!W2CQ zpzB-mA+)**h{(GGei3A&7uY(S4>mAd0xzV}$Td3x164q7t^gV%-2Dhhi;;111q!t@ zhjtUa6#=-BNWOZ^RR|X&RvhwM@r5`}5m}`Her&OM?vG*r9~w|KqG0QWR0xgcS{4?T zq@*MXmtg5f^Ot91kl_UhMrCz6Ey^r1B>OCTo(3i8Weq?l1$A>61`7ealvhyLe2=fO z_1iZp_}m~;MezdDsXqo?(K`A+FDOVu^`ZUrVhjLvOklG;{boOFxuo0tgcs5&dxwXs ziHXKbvqzLn|7>Z|?fV$L1Irnkp^d%$au1CZV&4o64H058^)-2ND0fb6{JCZgs zZ(;a7S-$f8q21DVtT8qr@UOY|)0jprjgi~x+M8LYRoYDo*lBtLPZ49_H$URQFlkKQ z&SU>QhMwWgUms!rdnmo=qB1e6{`UZQj2|Rsy{B*<#>99FMVBOe-n>#{-9JC^c~!te3m9L%(S*NpG6;~O#aTv?2rrlb6ifB)wm?E8HS zeqZtLk@f#RR{j6>l=lDK{lmji{QDO3xp5QI;s5hb=X(zR^D#V2IsK1E_4|ka{>1M` zL`)_B?{)Am^W=ZucgBarlV<-t-TwFOFN^-?!}$FtVpck@^ZVyXShSN!Y9 z`v13Y#=kH7ozlw3;(7l0F#hv_{pX|k|L`sPw83xswdLijEigMGUPH?Dy*{qHq)$ literal 0 HcmV?d00001 diff --git a/_images/e1d30625e6e60fa80387151aa238daa23502da4d794234ef3a02ebfd05b700e1.png b/_images/e1d30625e6e60fa80387151aa238daa23502da4d794234ef3a02ebfd05b700e1.png deleted file mode 100644 index c9daedc29878e8dc250da2d36372e217ffa415c3..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 34972 zcmc$`1yI&&_cn@&f`XC)0vn`Lxt5?x*LAHYKu$*NAqqYU5)#tGSK`77NJuyO;E(UU zyYQ8?$u?K`50|}&s=cDMk-d|yts#=MuKimJYkLb*y}uj{ZS730tyma18CdE5GO@RR zYsbyVX!$=cV6e6|W+Wzm<^T`5|5jYh4hace7xCxDSAlF(B&3h`UkSfda!%Zwa(FRx zeB8RboLN*<$U}vxVJwy1jn=f4pOe6bY1BDANbQI_IyLp)*T+{c_3OI>@~z9udR$Mt zHJ^^f=^&mkFZPOKPkzQnoX1lrrRsU2_egvmU(~y!Y_cV{G^?E7||Y-;7(~dG|>00(Yv`BZ0$u`i-S!NNFjX_4LnI`>ob9waxYQ zB(DqZIPWh#L|W{KLH@HfRh{CVcrf0>mlYBgVQad7zIzXa&!GjE=uK3%xZ_5>E^R0~(^u)0kbGjW_#PfTe9Z=V}9!l(*n-6|{ z`R2`EH*VZOl1k#nMp983k>!_h-CQObXlWG*!WlX{p5G=e&?pbpYYx0zw+q6dZ-?cy zr3iQhUejlOL?Q7Bo%-p5DJCX{!>A39a5xyo@VLI>)2enf+?{KVWYAK#rtkAdCuVj( zd7I}YpfG?@^LF-Tqd$7eWJyoPYJw$!8t%oP9ppn96%y;Oa_=Xa^NN+MqV{SN-)+1y6=^xq+V z+(7D|s478(Q|klW2Xcr-{VT@$lW6~5#=oA{>p}f*PorD?^mM%KpZD4MDB4~ev2Lb+ zg0mmvpCvNAKrHI-Q2mc*_c94RxfO}{aeY`QiH~0fIjsAC7WL0Y;Wa$@vd}AYm-_$q zUhbum{OgPVxg>j?zc-JZ;Xj@!$xZfeyY_!t(tkgL|A!?ZR{i&Z;t3vS{@XhLwWR0@ z#P$83bN$cVYC-zci}aBtap~vw4%dnKl&N(1@1hY()OlY1j$uqm z#<=46d*@eF&0-WMD{Q>On*;l5+?<$aD!u)E?`X#{&n8e~X4BJ~o?Y>=WXoiV&od8b9E~ClNPp(iJY_ZPH-x+f5yOqi) zcY^5XerL)(H|-~DkE9mzMDzh=#Rdn>iSL>~AI?t}l^W)v4qow8`Tw!71zqYG=#1kTe>)@Np z^cteF&(g7Q<&b;@>!~m?f4X~AI`8Vm+pT;cS?Fc;E)f=ZMn@MsRqbSVup)0Y{j;qj zrr={ph)AZyi%f+ZD8a$O&zYG?6)7YGaT#R}*M>}|e{zKoaI|!GO3mm9emgxmDYRRb z=}zVg3JXKuoOo(ij}r3Hf^cj0jTg}eKf z?e?_ghY!<80luYg>OTY%@x`YK`Rf^wB|V+1qbDQtaabQNvd4bOF}J`czU!$3-f| zmb-TQk(WsRz8=4NdI+qyt0$`*LQrwLkx(ow+UM5R0wW?6t32tcv2k%*gYj72+Sxs$ zqWTDX)%z_9Gm7SQb9esJJE%A^Lr)~c#h=&KYQv`cdz?G&%r&#n(X;e@do2madECci zPI83`iQuh+gCQJ1Q)}x$;cQrmNgs~eIf|;<;>E%#+?y|7MkZ@Ly!qV9>`wQ%Y!}-_ z-rv0AyuH}m@m-Cror#pf@6gC-fl>3efPjufBvnX+BJMYp0-+*3a{dWBEI4&pP32Y zyphpchKFycjJQP7M3q_fLQpfi>@f=eMAb{Fg75WO>jBLw2>6TOCGmBYGZrEOGUsl#7lXt@i^&8@Bb3vJKb-G5ft%%il15tEXT z5K&T6dR|{T1>(@3HM@yRvfla_5ReM@^r?VnBB@9qlgAlxB&~|P@v%zo&{O`OVR0;! zk0FqLe|{Fr<78De&BDMCDwD)rWZXlvw@CY|#B|@r{(Ex%@kRDXfzIq2cW6gUkKzvl zYMDe%hCGGcF14S|Oahk&n1nn>Z#rYC@i+C)xjuh>e6iQ@mz8!+6F;h5y!&Dm<7=8) z#TJaHMwD`F4J!GxNM&23r+lvO0x-qovt>M%y0rpxa#rj31?Vj<~y0W|9 zbIYVJjgW!CPT>GD-g6wf*tV^y36uVe`xE8X*9M(R>S=c^;Oa@mK7Zff8?^TG@RZ!k zI;y3)*%k`g+E8wG>3Vf_^#Hu5y``?~nBnCZXofxpb*M7v@XLxk_#uLvgc3i6ZR)~MJ^LB193;RQ4dm% zwx+rVbM#{cyzm|puuJc*GidWRR@gKam6k4^?CKl9PMsD7^HQ8i7YIFpx=?p@M$2aI z*;;1l{~+z1;GEuyQJ4DstWB(D<=##sx=yWP*Yp6fdgAOV^8S7nQeW>SUp933zKf#89Y_;FJ=&frfQ4p^LvL(4l1~_flb2;R<;PvQ3^`nNZ$#6R znJqKFh$#!@4kISUlRO3aGIw(2Jll~r{7t9r4<<9UOdK>G@k&X#e8( zNKXHBX-njy<#8e!n6OZiK0Oy`7^|elrd3`z6OhSAM?(|MRDjZs`m?6y29%a;U=~J4 zM;|@f2_DKV*ENVd$s%#u`Uy#zEkWS(K;^yK!|u{)lSx*x$JNNPL`St4Y{DbgPdZ!G5V79 z*)s(`sYG2CJ2&#zODybuBvVh<+D7I*m$x^xDYw*!+9Qo^Z2eJEG}X7BFJ0 z(>{7mhPd%I2H*E=6R38uw6JhK*&%@-$bRwuW?PTsTFX?;`R&tv+(G@h5=n9KFUCDb zZBtb)dl^=Beb(;_3K$(79S0#pSBlU)2un#JE-Nehu3F@4He|L+-k2qwt5#ydKJ;x! zG*7w6Ai$GiskymXzPgO>nP_mf`3QfGr-$k&^4f6TuQZV$=j$sEzm4uo3JRQuM7*)+ z#0|0h9xweEzwBI3RdHBN0(W%_ielvJTxAcX7l6~dp?SjNbG3z+d~%K)KUm!l2n);B zD7S(mz=efCHj9MjVx1@O1ozd{My1{IWjo7&EO2@OAtB^sWU2*RQqs~zKiZr9(Npnj z_%+Hlu&5P+0V&MS&7~bXq{SQj-qBB^i9&I5LSGxqDUf&ikh(Tr%CSC7uiy0XF`f3$ zSV(8{TU()(P-Sp%01^95R_^y^g%sDOn@Ix>g}7i73*9ho4J9NaBZEf7TQK!kKVU&r z)Icoi4@pT=D#x3hUm<+IZ{M4v4ey>FTJCw%Uo$_acX(C(#>`AYQ}cUEL3ydepZ?5_ zii!$@-_a(1jA`a0`Q*&ZA7qkTS9k)IMP*hX|F(o}CFN_kK zkZ|i-N9vGdb=t_t$hGTpBso3icN84Dh9n*ifb5xY1g`XdZ;#h|r_S?LTX^PSILY%J>^Npa3Rxm^XtFb79(;0MGI_gGt&|dX z=Cri5)YM98Flu?tyrgk_?XvUdhHUc5K#pS1g9((=aHxNnczCZu@JqSeozbD5Q%XjE zU-+%tJll9~GWaz|yH&71NHFz_ek+k?wPQeU?;|PcuIDT)l;*=0kXK{cqjCX;=@@mM zcxzRM+Rc8zg$tf$(Dnln9UtzX_Lp1hK)0T=%}6dnB;XlbUCq-Rh#he={v{-!#HU=g zf9CCEt?}GFY6^>rTD$Xk`T4b1%sp2c{f{BM;R}f^BOl>^8X8C&Lj#Of+V}T+1fW5e zS|8TgI_vld8K*m%-h6e!iE66)c)9+Tz}Dm|Ius5oO^UyM5gQv%ZAGR@O2?Ow!Q0vx zFFnld=}P26WiuPp9sb@7zdnH9!_Ri5SNAC)p=s|QHzGdQ4DY7+^~p*W=*S3p6zbN4 zdeMCaUqUm!yIYxC{s7iDI?nyZc=?5}FlSE+@(OjUmXwqfG?Sw9<~}|@VgEWIa#uWB zNu`+$R!ChJ+p*1tz6C|Smhlkl`*!mV3X^d+MwQdHSP1@%u3=OJtxET;x0h$w-@n^> zC`Np}YU}S0->yARhWO4{bAW4{>2(c3_BQzrYV7CYePi~Djrtii(!)6&!JJ-6X*??Ed{^ZHw$w~z>|lFRMLr`ztu+-Vw=+kSig z;(~2HiDrn8O6PoL7P@dOT2W1-Yu*WQPV4iti}`TDy8YrT=r@ByK{KBjLE55)!q0y z&j5k@qhEg2uBi$RSR406#YIHJu=0MbvrxpRPdj5ew>2hgPfjL9@|5S-*AJyVx^(o6 zRYDPWi?{FRj$wOb-0r-VTBR+mY|34^T6Y)ae9fHZ$oTVfwLsE&YV{JTu7vVmjr!>_ ztzZkJmRQlZ<bM|{WI@Z%QZs&h5OkY0?GU5c!=Df`7 z+~KCi`R85nrMgi4J7bxItTCC8pq+u{3;FWwa6sekXGei+-oW!?kI`xsrv!aEHRcp( zSP~Pf$h`6uGQR9-*`Fzi z=&Gd^b3tzte{N;vCHGA!P8LUYVw?h}Yakm_R-&-@{HV2u*|=K}(s+1v(EyENR;N@v zYXpgqr%`{#D*!k$*1jc**)mj7?LGO|*mz<FsNv82vCFO9^bDgg&CM?zTvozELT(*zpPOvDqWFHe zam!N=a7bqo4=#u|d0IS~?j9ao&O3j>jZKG+j=Qd|H(%iD#QVEiF|%R&ioN9>KcCwy z4r@Pcv{1pkMp`jztsqCuh{if<3NevpR+?rXJ-q8 z;qPjyYHFsFQQxGmE4LSSuyi0ZgcPEOv;R0xQRt3*>=je%M&VR$C> zYjwc*9-r%jKQTI__S@Ms9ryg496VIq{4~`fjDzhNwOq^)B^qq=VLHRJg8=)j$@TR8 z_lmTgSkm4B``?9VVFmPE|rief0T2d3n6c;|HWMDWFcr7d~-6cm8 zwd#18;)x%Wq{ZcWxR$h4Z1|ccsy_cUw&_Tjr3Q3)9RSDQ+L|?FN-p=?Bl`QTsVz<} zw%JC1x#91-zgm{oF;R*Q+S>OP6N<_Ue*Jo{6~|_77C-W%)_FJh#;vMClfI|0w=JVZ zifmgCgF-{+vQy45@bJ0;@kcnt57@f|uwO1mSG@b+;}d)-_9`bhRWc?T&ix{{CnQYv z*XXEfx9h%9!yT)sS2YkOh2EWQLbjGoqKB3>;L||uaZSB#C z31$OvbPAcLQEOJOqa>OaJC;{x>R9sg=by8&88&^i0gjBhdE_@#EBzL!R6P+f;NSYo zET1`UJ5q9UbH7#tF80sT5i%h+>mvLxolb3>ZlkEV=8MJ#{^!nborw4k7I$VFBdO#` z|8DK$bveFpu(Jc*d#O%cRcJb32Cqmr>6_E>$XCGgj#E2xu*OdtRVBy4S)DM{`KE*i zL~8v{mwl6oGI}VOy=Q!o$6CY5C4WayqC;I8K0EZCrBeR>1j>vt(6MwHWr^O%PWr|w z$;x?&Z{L1>vD$Aafaez&91Qeo0*@2#Sj|Mza?h>junLv@pFn)RY4G_>r_Sm>oW~wA%>c=bt21*#E?X1N!p2NV!!q+=h?VpPP`iJ5ENx>Gm%dGfe;>tFXnpu0bo4CgVzO6j`x7On$w2vHJiQ2Q z^mnNKs;=XCzNrF$Wwh$>Mb$JVKYy}z%{V4*_QKJohC1UURAatu*_5TG08CckNpnYV z{1!o@zPQ-$ffVGoHnc7WBp2{65VSE7ZptXQ41t-36mU&|Df{WX`=C@k1TN)6eAfE0 zN`l>8o6ZygZ?UkgfghQeW)3%DZzyPJFvKVESpiQ%X+{usa07v=*E28>hU|do*?LoJ zfR4rEcYhEX%EtNj4JGhse=g56gqrt1u^2N*Np*eea9dq@&dG#z0AWpkJ3 z17qIZA0t6hs)7M$yikWu*?D z8=D;w9M-i;4tB6msGH*J!-V`UDyNmp!`~KP3}n%By?ukb+%rRNK5Tux(MH5K4nm8( zQTGMQ)b`;@p9iP=aEV3u>%q_>VRxTED%{EpgS-RRu~}G+k6+XKjeq^U8%3 zQP8gvz9_Zq{CQ6dG(A*H5()}@DEGk91Al3{vC%I7(>W*1k8y5pPPNAMey;MR$mw2` zTH%{JBqZBAySsCvIj0DiOOQb|Y0qth+aG=}pux}iRtY*lZ^@tz)ssV4$% zM3AHN^S&u59J;#1fL9tjI}?Ap-4R{vwP4kQFlM`pNkuu}aLMHp|{DdSAKeWvN1-!Py^$`bKf!$5#s|zk5HeO~b z%rBLF2F}@Za~z5}v%9l3w1nM|kbj4huj8gvzn!HU&ev*@6$r_6+OAjEK+9HYd9K@V z59nt<^*joI@9-NHGsJD^=;&ZemmB>b!5wrt+PIHo*fHK$q>t`-QG^{G9e3~keWR0| zX~+qX3}n~ynsY4i%04ovmwbHuOtetHRUX1UA>kfmHIXYU5 zK-KR~ObIp288Z9uL7Ng+lQ^YmjsWgH;vjw)x+Nx6BO--$aiU0{rPxS%abt{!)k4*` z-dn7%c=;Wx7RxK>@w=0F0?LoI5M;d9jDKuw)BSrcd#d`TardG5!$P@JR3s58L0(_K z4Ydsf32@xJ&$FB(@K-NglTQ;KuN@{sCpwwixOkSUQa!(NVtOp=3Y7NkXQBu5KoctE zslTQ?#=_GP7QX%Zn-V!M?*}$>UjA|E70Kz^hk6h>fCI^8lM7OwtuH%;d0uksgSN*} z9+F~t$7-r7bgWqGWHIK|>Rt;A3CVjMFT(m9MKP19@wndJH#cwTq$$xbF)@)yM$<)7 z>mS$EC1C?cKS(LUOG=tp?_G`g91PM#fK2Sn3P=vyW+ij2rnVX0~?w~liQK!UrAfw~@q+cR3+3e95~ z0zbk9_ARz^S{pKN0@0k)>k11p!HI!e9V6(*X~F^h2HlBx1O#qy^a_`UR}m>Qd{7qc zR(gr_^wI##--gJ9tjk&%b(+aAUs1sc^he}HR{h9G5ELzt5LiKKeGk6@pVcIBu3*~^ zjtG{NL*)G`h}!}GlYrODXa=oz*yI8GJP2(REUFiv)W>q!WkqA42(dbDKyE>OGg0PE zP4gwbu*e3K(8UK&dVTXWM*2$4Q^JUjkG-0Ry*d%da&_1aI@Qi#Jk*sD#!u!W470N~ zoI~eJMs49y%|RpmIf^X6OLr9Mw=!QWF#%DC@`+lJV!UMacZCf@j_cIwKr2v?q@b5& zD(6*k@;EJ5Z`WSW$@~=`81mY7Z{ab#b({5J2cRmXps#xUZO~x)XC`&6OtwrH@Efho zhG@mc)o*v_)Q&cJlGbaNh$8NVPI87*C$=$jAcPj#1BB13;l$;x_LQnCY!@!i!9 zNhENKZ;WG{FQ6xka)$iD2>QzFXlS>4Yd!P@wB4BuZ04Np%dQva>+A&^gm7_lMO*yyH_3(pscOdi|&w#B2y;FML9BTOoNP~(c zCi2u@W}XAa`$QrH`dMhP-LX;)l&ilcC$Ii&PJB_S*@EsMoX1HU6#C?gN>KRTLKms2 zwVdU4;|>)>b)#R1E*vzk>%oh3^TB+r6n4u*-~w4^XJ>zGrqmv+4j_A7`#ZZ#ovqo) zrtphaJBIvycd{AZ%r?BHR!_;HXJ?TLx5t9~mZ?)Gv(TpB)t%I;R_l&A<2A!N#m-EnHSQOHnQgZ*id|*D z+BMf~w>p%|7e*`~)wgavSk-)YfF2&imIv#=!6r{6z`fnQMFe3sQI?ktl8n;V zKe6A;Gexpx_Vt&jo3*{==q zisUIc9ZLiD4y1WqQn&k30yv|$^M2Va23)6CIdX@KfPn)xFrfq0btFmjl&@`HsG|f5rNQ^fQ}ya z3?x6wq3!6>O!w1viwVb1`C6D7nI31HUPm*i7#yjb9%oeD-BX9`v%iMRo_c!L3X6)a zEnYS3`1<%10#Jin{;jXa6p{=cuXCiR5H+Y=B^G1JU=aD?bq$&-m2g+QgQ7=Li5Y-! z*icZ%q~^_`rZrET6BX#xbr()t8Lp6`6uzmy39#Ai$l3ki6qJ9zhwIJI2qHv2%W=;2 z#V}idG3jFHEd%@WTQBwX^$$-y*_wFa=0@pKK8>glJR=i^_yO^ghGw0 zB`+_(<$K6b&+V4TfGg_UnblV z@t%D4#fa_A@|eS20Gpp zcPcB3@8Kz4M1X{Ft*i)gUP~Tt_lIvxZ*~V@`qw$1A?yfo96cc{#-X!w%f&cCGvAyMG`)vZV0fZfijEBLo!4;qci-I12Vtwd!H-l@$}$L)$r^c-q25 z#Kem1mT}@atkXvbrj*G)fPNv@O4+#j+1^>2t7cheDEPVn-VnEER#MA z9j`rO6L_CZ!0RFb>r8oF#}BMkW2@Lcxf2kJkuK{m)T5uV@(H^>~{WGfx`v>qS1JX4xl*M zVxv5P^LRLDUEtbs*PX%f0hGGuwFk35`u5`S3~ql`h#j}bYg3gHllxF1LLt7q?>a0) z?}J3A$(aDsz3b87cCfOdA`3Xld2va%`-$xB%PA(M66Npsj3DG+r%;6}l7lwxhPD%)||94}1=+tPRS zL)_inUGQOi0$Nu-FWyLteta3ln3jRylX1mg?m z5iD6F5RoVy)>z++HeAl z+wP)(0BR;C3AiL2U|ri=?vaJ6gU4p}p?2OxI92Ys%icDKJeULoF=-=^oiSNhSZI{K zN^MVj4{)U(MKM@5f_n2YIQR=t&UXi}&A`U#Uh(eHwE+|ng`AoF;0Tl$emk7iE0_)2HfmklH( z6M$4OOk4~x^d5kFsUwlAZg$Z@a-R4*RI8NC)mTglET8+~NrkB<*lMZ=Gg7rENYM&;Z-SSh3e> z;Q<)Bmb#N9^EE3E_(=p;l7W!`@WtyMyN5RkOCx7^MaeZbI%>M8L@5nP0D6YPQu^#& zHuzo6hii940yV>iPM1Hvb0y4r@sX3eF}vk?Feh4cs_p#Y5ly2R2#X}Xuw z#fh%=Pv@45S1c?R99seo8>8Mo3^!HFttz$cpvZymzy}4J#(kHIgoFg>yI^oyd9ciQ zeYORU0i{^z(?o6urSy?(hky=fxTqCdqCq&eTWr4*Qa&vi1gL!P>avDX;;P#&5@ zaIbb3N@_j;I|O(>5%dP|nY#xEWY3>}Iyt$m^zF714fsGs$;g`0m1xGww}W5Oh4f~D zvu&W-30WehtbTGb5z+@(IiGWs|LIFVhkmXj5Sx19BY!#|nxq*|f}Z!cmZ?+=3$>Y@ zU9~f`1@E1cr?+oK@C_EyatC98L~L zW>$J%mY**JKM{x^_+SyD)?|Pfl6cC$7_`lSI4VGhvF2A_;|pF67Hk?NP(dvWy5gf4 zv=AI5MOs>6GH7*dP5*ce@9ZIg8S&W3tR48Aa<@?ny_g@1HW8V3H@S+ zN|r$zb8LdfBYb>8z<>vY^6TO3BQmShY^(LHt)MicZftBEM8AAeTknmGiGk4xeWc>$ zcu8;oWNkb^m8{m&(Fg^%K>OL`6o+S7D^1O9Ok!wI$5Vi8veQ3LziO0!R^B$gM+YwN zsVbpBnVeUQAPH0H)Ls}<`dN+^z6V_e<8kWw7K^Sb!iL=uou~TKxw}pV>Efw$tMILx z$*`9+0IUR;I@OTC%SjwYG-Z5#)Rj}EtPau${i)MyOdA`U&g4x{;rYNU@;SYi6~dDq z8g4|p2fYwEsMM+zZ?VO~w3o_fmilrOWkDfn>hIqxE)Z~j%W=Ag{l#(ftm@$vI;G50 zqeegM+jmT_k-w-Fv&Y88*`4h0|7Al9dw%?9VNj$X==*@8KbqFHlSCIu&E!naHqq;E z?p0bD5}A4{y{VeeH6&b42MwxK+23bk>H}XR{p*4O11VM@Bmk{{q6}jLOfPli4%Gl& zPwRDc%JX-hh9(V{C=%3RW~)S0E?ZSo`;fzRl|OJ^RSxD%%*_4Hyb1}-gYqVTB5vHe zD_3fUAmvxbOVQ7dlIpuGpB=8THH?mOij3?Y)ke6ZysHIQEC9&|h>*@xKP>UQ1lSE; zXf&_`BZ27#RC<%~vdxS`H@rYVh;u8de5WDa41As!kHGOWn0vfhhoIR5K7M=y`lgQ7 z73mcLBmv+6F6wJNcsOmz76l68zhi>a^**>bel;6*Q%<}GYYr`}o=LYsJS1i+qX}|( z9JKndxHQ;Le69IzLfL4>>j>Zm6iUtJ)V{~(_YG1=v#eZf9)Lv&AtJzhSE|cCdoaN= zxVv<;C3eUGQ1Ckc=>UhbtbZgmE)kJvTeu-GJprqZ=+Gs%6(iNuY%2hT7J_SPj1?L> zG*+aKYF4VAEjGG2S`-IVe}C0sHo-Lk=)L;-jZk^hig_D$4#7nSof;EZR8`fD(zI&| z(2IY15Hy7nCfL}n#iz|I0{Ky7zj_n2-msVv%YOulKmeCO)ln&ZrIL}+QY+FU0VHm8 z<<5~O>*%^q@d;FyG`T18W#0**9i@D}LoShtp|6km!>CJQwVxf>Rd8uv7|T}d9@ex1 zn@y#dMF&=f63dBbl>%)L#a@bw-!trp&IH>&!h{c|DcJRlp@P{NFna&X1|IuO@LTa% zC4|CD@4H1tUHD+zg=?3Hby?`q*68mE7d~<*cWQvOnfn>1y$K^GMev`Ev5DX(ePQmW zdo1R|dLFG3D%rBc`h#C@fEfqR+3hRr-a*h$|Sb;hPfxCL4ZfeV_D$59VF zJyMCB^SR5o=V#ODfS4_&T#+<1{2BQf+1aDpBD`iti*CJ`yMQbu2{sQ&u;s~91%oMf zsVzbbIsr8C$sf#KSAsw`%9tkIK7MX? zw)@LV@3#(w2wQa=tLYN1MjSOB=2V3ZHdqtUGnwydXdnYOrBI}Y4aDef+oNdUf2md; zPER|*A)$l*m?@p$H<)+M2YGkc`DFHV9|>ANkr%%(ZI?R1dUts;>%Ro{lD(it6Jma! zxmA}aC`WT^+zhAAtsro< z;-Ay#G?rSz1g^gJjeN$q%R_+=k(Z;8iSUhqIvmF|-}5&=G_U?$HDCeHtZHe|ApzRK zRReXG&!o*@UPJ{e1BeZ0Iy04?wBYPT3^NSa|FJd$M1oNCe!8Fr;#@jcDuJ<;(_UO4 zB2l5E-hm4S_V1VVy zVprjBa&;bX_;c%I0`M(@NxvRcgm}M)xnRc~SGvp#3m}G?Mbw%?b6fJsbNkD22c&V6Uo&rUp~a^zXfrRL)Uw`#SV88 z?9pion|YaiU3Tq5f?)zsb3q~KztlGFehM<<6_|E> zD5S5hmk$c+uJlfJW`QA0fnF%X4QXW7hJx<_ML@tB3^^bxI00*faQozI zx`d}>E9bg^AO<%8u~0Z?3^1uCuy=#OJ%jbShRf@UweFHVxuQZfnocdO=CU;*);-Tn zBTu>5t(*s_EJ~ePcaR|yf!NHX9uP1cPfD;7VFd*d?&{vbsv-`(x^xov!xGm^evd?I zxi60fvKf2V92E6tY6*cm1HFs)t7c`q%+?tAiv^-L@T(c3@2t`?kr10M_$?JbbJ0R0-O1&NoU6Z049Hr@rdKnDzP$mJ-( z<%E5AgpL{NIR-v{phRXvQ`2oQKdttcf&1?)oiqjqY7FR+Ns#e%t*qWF#BsWDxE(!( zx*(XT@EAsoemZ>d^(D8lDUwPkduP2c1|DkN+nJ(1Ql2dtIEI7uRL+)JZ0X zU`@JL?OGCgFmixnmf z4UG@p-iF>TsR%b<8WhIC?`kZSLjwgm0+4t*oMwi|?Uug7NwRA#xj+hsE$Nsj58xrU z1XjBxL_nL!8JZE8N^1dl3q<-WV4OO2yz(-^W&-ore%Q2SZww3~zmW^L?5l&F;x4z7 zRX3tP2k&laxb#5u*WqjK+sMc)whQ8*s16h_zp&KdSJUf|@}jI-x7{QqEBhG|9DJqd z)f*Cw^;PLU*g7CK;@B;3cEz(n>)K;Yc&c;ei8^(9j$?<4%K)yWj*6=8A(Jk539zHJ zgh*=Q!PLoCdVuKT$Fmhxq3Ph>G4wQjbQ^fo_j<|X!&eRHPn7Kwk>3kHM*BIz6q zU#hnmKA*T^vzm+rMaQU9^;15kRcF^gUDTc|Onmg7T-23-prU7HmNmkGRuw&Jn8MF< zi#m!an2;y3f^(5_sse~m-5DoH>p!?~u<2#Fhjllu>`Ef6v8qoC+PmV$qUa*uIHU%?nZBAKr$ za6smZ$e*f6nctWswBF`%cAJ5*6(Ju#Kfo|5Nk+ecI)}NI=0<(YmoKeZx$%J$Kv3?5 z25tSU%YEnaCi_cW&$zkcbv)y~MmR(`I--FyYyZOKMb!)~)e0L_qayw6HFr8J#30~1 zkYORQgP~n0$+#C;M~5-bitaHXVb@prTR?6lP3w&uQ~GbJXSMD3qUx-aHixk9ukf6_YaUdfoGREj5P^|@J(0F1=>Lh zmKPcT++`GeZUVHjImOZOU~1i4W&{%23MG*L`s>-5D+17ikuDt!JKPf}vMJ$JYXfI3 z`cjtmCY+S6)^db!5D9)e42SyR#qf~ zWe31?V8X$0f#|>qIIK*V)Y?rmnPL1CAHYOB$Mr?^`2jdS(TG#3A)i1Fx7!@gw6FG* zaB*`Z$Hj!khuhR+Jps5VNcEt|sLz{2mn0cRWC?;6iGEA)>{1t_^)j1Y(>)^o3v2rb z)Jw$YL(E(k$x!ZHMC4g=LEgPOzCN1>o9OO-4|YtpweCCN=%fgpF5Y$}j|Ya(K7hW} zU*&+DWPMi$Gz1V)Tfh-n>S+n+Wn+v%D&Z(sn{p2kwx|2q2=9{kg|64muj2%rwYg1? z7+{fD&9Lv@J^{Yo+;)8*5-K=C=Yx1Op)vD@56@uoyf`Uo!66j^#sK-nY(w)wGzr+f z|0;^17ek}1SuFg~E@E#V*)mm$1eyba&z0sn7*47-?7)GWXVNEFo+k(8c>Il(Reipe zMycl}pb?wXJr~bYLk!qy^*T=pNEHEKx7?d@nz=hpCSDri#uO48PV5I9NhqWsVV@5I7%490^)p>aV=cHQaS;Ibuy8GH? zp8_WcymG7b2-N_orG>&Z?s;6(;2>6%MARBNgO{(PA$Mu9+nvhk>rh@DQKGH$6$9KSrIIwo8 zAe5<41m0}GExQrVK8JhumRZjVL$8p-ivo zqvuoZ5;3<~R`^%}^QBIkOpzc*rEdqPub3ckDM(0?A!Dv{YMt%wRW*aE2h1Qg%!44n z>RfXW!c_pE4#6Ol4A)Gj3L(QJp2XX?h06Jq!e(SOFClir%FDM*gz4#w1h7$r_US3F$)IUXcWW+)92PlSu zmDNY!DmJH&4PI|W6Pv4XeNt*i-akR2^m7a z7dgSYb4~IFZQ;JaHfFBZC>Lml)YS=SRoRmm%WQ6S(F#i-_!^iM{hqg99fHUqE6T0sokE)fv{qEta%VO6KZ2UP>QM{vU-$1!JaemAW7jv4Y%+~P2E z#O8I5eBm2i(U7w!LY^`cU(B^gpm=%jRPM# z(?^DtlDBr}-k_6?mY6EW8;^N(0qa_b!2j`VtFFW(wPdCjc`*0-ly>Y9PT&=2aDW4h zT2WNrz(5MLKnKT}3_^XMUjK~zMi3*GI^)u9(ACW#eFI;5e=uj@9kHiL^u;N{0t}VY z^W5^M3AaPg zrTME6SXN6go*;Z5hUz=OnGb!ud(~7=R~Nm@J;8e(XKo|2Kv{j&sk;I8?0aaQF;>S) zIZ9F~{O>^|r;xq6On-$KMaWS!zApGJBMf#94Fr7*B_}Lj>zqtBQOXji{|K?sN;_Kk zG>S~;-8uEPOjDsKm}y=9=8WvdF!|Efd-j;H3`d4Hh($=S@@#p*l>Pj^Us zs-3pU>Rt{+!*b=}GrvIj?|y#^xy03yL;*fn;D&&J073)@4i;1e;2jkU-@N>umj^kD z4JPj3h@@er2SB{cIO^n-$1R}B5Nw8Q${Dn=A&8+sX3XZG7|3HtU_b}~KVD0SUEkU2 zYp^{szj=WRq1m#xr~#Kx>X3~=i@W3Z=S$OptcNh|ICNg*Yf6*0wY3FGZUC^i;Hb*) z(p0yB%+?Z0C_40w4Kd{&9ZlRb4adn1(minQXqMv_*ZD6%9@MOOiyvmWUg^wLWN2Wi zC*d+^Kv}fUEuQ+POhUw2@TL((7VBvdHi)yo>Qe;+_kCel1gK$1N)2<(=5-Z`G+HxHyj$J zkAR$^M~FD4$0n^25fLe}oL~n7aai{9L+}>AYjPp`XMB+2IC`-&E&^0PVEj71y`CsJ z66Iu9j=S(9W0q7(?VpIcg#Xpu zmq%l{{{3pVn~9_WMM|VXW|y$?)$p0>-+so-|!s!5yt!lK`)r_GR_r+`m?aX z0S!LkBCu7r^uzJm$p^veU_m4AV$ECok%qxsPh20tA)w;ZY-FKmZUEH1)4b_9WOg@3 z+v{KJ6*d!JC$zwL#s8gIeE;Rkf?=mOu?KG0H5YiueHoN%>M!(*dP;zgdt^;-hqEQZ zh0d_kSv6Ap?y4pFq;qCv493RcTUj-~3QeC#YLwDQZrQ%2L?a~JWZbGDwJpFq*qv%t zzEBruv+%18A`W8^MXq<(e?OVrn5gxv$JO=_p$s70;1(3z24$<0bm|Wq#F%WAw1*}- zvKvAVH(|czP)g*Z969*MACJv0hfbnyO43SVL~C?$pe{}~JD!1xv+e#seL{xQl$ngn zjBJXoU6OW+C^`{vL;)h^qC3VNB+wuNdnQB#3SY;CnPn)LNyLdxb2fEuen|uZBq+%& z!2pwBj&Nbq8*tk}->&)mRB2CVI?zDCQP;ta6D1euNMKNfcmcYLDFCwlSWLWtkbnDl z`psKQA_%I8=nGw#;>M3tgb)uVgZC!>7o4d}yh0{w-;wZv7@%8lq?#_C4Iq(1{rz4E zeGmLq7aj?3QonA|@^ZZ0fi4XD#w-2ryVTVKAw;?Lx5JdE*l`9#jUv}ky=e`M-X0A^@wAB1#izuqtIWSzy^dFcY> zs+6R#yX+l*!X`OBzQDxpU-#wa8cnwZIOL+F_`x`U`Fsg=IWlSr8j>>hoQOX0vzt&< zP>RhyD8tr-gogWNThV8jWwJmg17hP-D6b^c+(srke6vHY=wMWK!;Pdb_0!CgH*F%hqs@EsOUpVyZ&9RzFORNy(2^Xjk*dtufH z3O#}n*VNF1^4Y|l@B(NY=h0NGCW7Mv%(Uq$J5BZMdgc9VvIKB_^u7Q_Gq^+MeViAe?U znmq=&4cyg>8Y+{}7(t=+0X}im)kau>;s@iZCEW5}9a%O!GO~u=|2%am!!(=rZ&R_4 zw6oN;nHu^K<=bIlr+>aN4igkbDMBYCWCIJXmyagn#-{*!n1ED6#Eg#N7%Dw3E-u(V zVqNE}gs*(rW@EDshaqH%2g^ejm9SG?wTq1Sve(z&-{fa(6xpkSDU`6Y7d^u~CA)KV zl9}VRUh?w!0VJ7JUniY3#Z1n55Zb^ffOs8IR3wNwifX8$bbcO5d2&?ctoe{ENJhAn zgn-^ZeE4v|QplbN+kZ?=6+?6lc<)A`&>zVslaH2%j-V+LA01^SwGx6-CY$n-wTg*_ ziBG+S%IqV zXX?4B!QIzyqIRjzb=1S_>e}$cv#{gi_3PY(8|W@R>9?&x@3oW(VWt<5s;V#`B? zCXZ+m^1Z_Z?b&^O(5ieJqcUJ~Bl1aL5 zT*2?VzW1Gb=PG)CUzGn3usIAiTLN93BH2k0xF?yt+!rDMgyIfb4Nx9^*aP9mK04G? zW!oPxbL9s*ZURiAHz(IEVcTEkHxhBs<*JxoMdd*BZ9crPl^&l@T`Vew4z?cttUsZg z?VB7hX3vy~f(y=l>NAjZR7~_O!`7ez z@amvd*8wl0MDfcCi^pjb? zbQZ*5hKG`Xn|SnQ#$Q0g*;uwY1Z_pdql00@ECxJT>Jc_dB@n-!_z#=9ooaY|5T@hNva!kr1_jE=R&~j$;As6C1 z0&z+-EoePRw}(e}4_R+vLSi^#Vba{d${OL~6q=VO?K(FZgKvH6bR0G2o0GXW7lqH- zrtMf|cxT*<9h^K+>(7#0E-A<7pu6STUPpe4XqMo$k|BaM`{B<(|Jd+>>dD&DFo%qn z^WU0Xn&$%4^9`;%8jF`{(aD?VKSL6;>%MYmVNuK>w(7`-o42VBw&8TBOJeaobt4Y^I1Y6QRO@hB zc*EO}kT^B#0B(X3(ey+o_3{2w(X(8PkZKWZ0xv-6FSniTsP@nZR6$AvZ75~Pgdw@n z?0eOsFRxyc;H8>9C^jmI@BZ#xl(3+8h$E>qQj*?%K_D3X$hYsWH|*OtvQ&}pxbYZu z>CCZX$KE&Et-o=De+{immD?7 zbL?2nTmxptaL|im^BQXA?*sGzOUUhlJNz3qZ@#P9=4q>ud^&i&US-jr|DZAIgyP-!!VYN?nmh7|# zr-mLpl(5^6t(RHg9K;B}YD}BEK>9;H!-Iu_7WLC(5lQ|lXG+>WJ{lgdo%uE5@#ixI z#rmeCb);f~=+9}kwG;lK;(Kd=*4>1L7M=8l_3Rxg$38g&JAiyZ1hftg=k-W=;+gC9 z@>*R2xExy_S?$9u!Eo}K)Yr{4xD@9lxb!|l2U_3O z`~t-?ngC#HXh-iOPXMNpKA?}t9q3)0FKpKUSG;Jcn!~htb7*O~*Zs1>HI&1LQ^%*K zcA^cyGlbxy?0z}|kaDm?o!)om=k#bhGU%FcX51cZ)XZNAPWdq~WDOMJ!X_KKR9M8W zROC6!kVK&(o2_+SfQV4O1_~I*bB?*PGJN$9*3?9WU->C8Ki+xeb@bcF!BMv#lS!&o zkc4#)QF`BLSw-*9PV}j$Fh!#-%ynn4z*>#d)O!?Mp%CYu0G_-#u6Rq>;t)^>Yeh%KWwp_;uv1qFUy)vO-7s2DV)240j

`nP7^aIotZ{;#t(n`=UgCwItsTs~UE>)$Rbumfzf#A6 zBU{it-^P0kA-5y;XKI$)&jXN+)wFo)!a9lgBQ7Ws&elW+vYas<(G`QVr5ub9%BM=i zRhYZaLe4A)7Dn7|@X}9utvaV7L|&3ao}ay%GN+O$_zd8x?3d&0zRz&vJbV}nKTV?9 zd5^p#9%$G^y>^CkA2(Q z8W+YVRomm|OsXEmKn%EYT!G@!28(>!>#CCJPO;hnSERHQEiFm{Kwv_^Lk|#1K%qJb ziW(QeUVN`?ga1T(?$`EbwU0KN^o>5(&GdkB;ehL$Em2mp3vYsUIaPgS%3>T8Yx{uY z!_Z|)l%*)d4&TZ_eiZ{8fkP?R{~&NS0HMd~Wnh=T_0@KwWd8X5n>ecN#?{L!36qisPiF z&Cfc5XR>NAGB2wAvbSC0#1{NG_W$R43B&B<{l!+q-fcslsjt)<#Fs- z8T~$cYin>}*lUMvRd@f1v(y(D2lP$9rnnPs0bKG+=o5i$>=;Q)eBI=_1zWs5QciDT z*_pfezP>EU$i!5LR8nCHPt^!v>9v$(%NQ0>i(}x1!8=Iem42?DEmCB@yuKWP2Sm_@ zKt|Oiec(kj%0p>hp`wC256A7?)1Ud_GHoZqaG+I9yQF^3+!mr4Cuuzq@7uRm2ng^< zZv2J)dS-SOhln%OUy)U%h3=8R-4e)4aLUd{zyW-W1n|XjYEDDD{%c9O|>!OCp7RWK6R%qHKeo!AS}>) zqK-vKEGzm_t$!yk7v0UFmye2;EE#Q`uIvrm46v*;*aRM}s^_OQC%3Qq>Yo3Qhw6sR zu)C^ZbtYT5IF|T!?2xroX`~@_VaUlY&$V+E>QKMo=!f*Gw}6kT6@QNxuYQn#`gMRa zPqYi}^W>Xf==}6*CTn9Cmi4Ol!M0L)i&2jg8$p0u_lf4x-4BMM;10I$gNO?Sr(fr= z4Xn4JwB1gi09*JC`u7Afc;8o!Q!^=WL&()EbtyT2o6@vexxPRA3Meoh8FRu-0)dP59^0MTa=C*)|*zCq1BBqA>-_fe7Bc-*sa?68^B zy(ONc4M%SyLaPf~wMBZonZy79-rYd!bJE@HFeV9j2|6 z5KrUbxpIhCv2J8>ltzc_bb{^U=FOX1rDja>9J*zkf89s% zAZXjqA0@4{Ln#k}c}fbGf+VZx;=WXmKd%%QnJ(JinGAx<4h?)MG%IW9>FZTiBIf`t z4h+n*T{f`aA!UlJW(ifUKeZB15T13?p8DHdkd_8sUeEHNi|d&B9$#q-a==~v_K`Xw zP>X1n<&tl$OWR}Tv|^75G(B%oLy5jL<%qYV_l%2FTX%iFN-?_HFWLv~-eoB1;s6c< zIk<{`w5fa%WbI*~8>o{FU0|K!{+wpC9KL{BBS8*EdU4>i%n%U5y!P&$ceyfNijwB( z#|DC&-`{|oZ@su`9)x#{oFnhg_|*$mXqkt)zD zJYeCw@32p1*eEi_334?aI%Zs)%@FNbT6Uke|2S`mE+zHzDQmsH1fA3y1J?eN4e7>W z3ybVl-JYY=6DX?qCsFkDoaT=uv-!Scbm(h{noNADFA2jstG5-ig z;K1iTrPc2D^69=LVLMdi<=cBsACydGNu6MKis5sOI4=Az=jVS>B=V;bnSu1hR_-YG zsliQ1v_VuWn?yBdVJF>oiTf%Ksz^^3*)ffC7nniq>&x7DW<-=i_)Jr>;?Vs<(QxFQ z%L?Hf1=s@-l@tSUGg6JH-x(j^_-25>v%vFEe6OJCFYu>LsfJY!ovu-XXM{**S7hsy zX|k5JuFq{-Ba8i-=Zu+!FLAK?zE>G4+}o$5w!YRg;%wv@;w2Yec}UzJqnUP`Qg&cvA;&PN|C(owCFOD8 zUP?pu=_Kl;vWb{CHT-qa$RtCHV+Ffiq+P<&Y~L6xVr8EKyMqrk!*_=N2B0Qm{BSceB zP(UQXh@x7E)d6o^22Lgt?MFYS4})Pn%5`KyFe3#5sI_aexj~MtA4tIi);+0A`%j6_ zPQW|^OYFDyw>y?*x~FX`fu+yF>kefaAiXo)`IhT8S3r((6R%;+i9N!M(OTCvo&Nd_**$}{jvjb_ver}6%uD`~y6TuFCCGz}+E^|16P+7^Q zsGWtl47Ffvx$DBhC`?`_%$gSb5Wnj7^BSPNts-VSL6Ww-u{xP^9!2kd1E~jS{{*eN zXnh^x(Q~bWe#{uu1ru-ho3YgR?!eaAiKjI?%j!*W)0t})ud+;ev6qNs9BuM5ld^GQ&lZ26lml!!l<^WTi z2f#>bGslT9@2**^miV<}*=-`qSs58WgS?fdBfh!Ni&h^pfiuaPh*#i}YVManby|dQ zAjp162~rwW{mJ;r+Dy;o*HLd4*4764vN{aKiLkJ-d1g%bLpv1aNmt(|MUtWx=e>jV z{n(`6U#?DO+NV!@!GbomBRBqJ1hW0Li36A2F4e_6ly`n3$X+;+5kG?{;&V7Z)#8+? zRG~(KZlMiF^LF0(kWm^?4%60GJX~C8O$2?QB#Rqx0_qL7&?6$o`Fi5UQ6KGK=$qYL zeRWfcD@W+HpPxEX;7JKPV8oJb9XC?rLom2O3ABU!2keKne1H83ft3lmA0$)ALWY2R znkljR&oyr(#Y_vvV!N-|BI&mXb_;Nt0_~$%smP^x-;yo4I7hc@*{NKYjjpSF<&Jil zity^arpB+^BRl%V5k-{n8I%6GS;q{sM#F`LY`r2FH3AK>G zy?*^KTIRZqfYWjvgXcz-aL*w09)Mn(BngxFUyGLF)XfMo+1y> zPfcHcklyVcOu}uir(Ri7mm{43+{+ZprWz7yghU8rARq;54eG1!NQDe6IU+JzG=J*Ro~D z4+scQMzxjv=b7t_VJQKS1_ltnSv$7~EZoY98KO5{^pM~2(5^XikFJuyXp083OjRyM zW;ulOTUlFoL8w9y7wEe*5Gg?@1H}?E>fE#-a&}-pD8j;qJqsUt^l$quUYp?N+ipoK zpbrNYRtkWkCCAS7=gcrNx6%2E!W|obq5KyUpZ=szdoI+5KyNb~Qt?W@jAZf2d{gBS74b;4Y0sqXQS ze7)6%0b}pXz3!A0_Z%$-Wpnn&S9O}<&*`&IGxb`p4Z|uxbB`_Zjm-F%ar%JOA$g}^ zln*oj!nxWW-?~rbPpFhfKx`~NOS6f?aJN(%jJPJ8SSFT_1 z#(vs`_z+~kK$#$iZWxgD`?9@TP_+X2fiQjrvXw}J6=aPgty2iYrGqBSsQ8|ee(p8T z<*V$8hzM$Jk_SQXsBjTh?7$FIb&pY314Y8~o$q{ZzXF25uW+CN1d2c&UiyV{UHI@- ze+?hRx{d~Kb-wIAGgv89KlJQ#fSsZ75l5&}^yM}+0LDWz?jgl#~sWIvzz{3zzZrPnt@Gy1P2GbBq;g6b9#d?`N0@LpO6ud z6a97(mH&(jjIzLlzX6ye5Gd@$j2kvAl}@9tfPiQX%n>z+r!s4p;mhtFfRYgma1e+} zl!M5DoDDMEvUTexXcn2puSOf_Aw#$3jTgw!N5#IZfP7{x-BcOA4mSEAuRUb>sw%7A zGDp-7_Y(TLEzdERH-jznOCA!x(lJTxs*t73z*FT;t%6Q91c7Sh!+L=n$ThBcd0`)Z zTmeiX=w=3W47-P%{Q>Nz*$v%bigZJov;iazN_|y%AcqG{qHG50PP@$|@xyZ3gH>kg z+Es->WO4(Elj#1)jw@yTaDiaP;BehPA&^xt}>X zIcZ>kOUidO9*WSVg)IV_@r8M3pFY_sl6S;2NcbHDmp5RDK&tWuiOc$ymrx@iK&;+u znd?lAKZm^2S#$Gpw6C$(@6wuM_kp?PAYdw+E5n z!0mqrk_6K_e#l5yfr1_ooB#v84e`%x;QNr|K}=$Vrpj~j#grPEO?$=Nru1u}!$x_c zfSX?k-Bj?QsKB>2B1_4ajDz1ac0N^{CfECOW_&sNZ3UbU=ry*|EG^L^a8eO}N4ECK z?pOACC?V=n4Y?uD_y`0yxYKuSVC|QD_b6h}&$da`;x$E2$q(nIGF!(nZ{X#?Go|Ax z^C9q~uuF?N|I%V)?6R_p3?5u8(A;HG^#$KI-ORD=o5SPXmVM3K6+t4UYk{T%OTU|>m1Z^(4(@hU%wu} zbvXVt>&=ntFMwvJG(wEM;Eq3~5f~QTM;x~J&)i%vRS|9Rg|hv48Yn-mK<G3cAxRkcxu+DOY)XbXTtt>7f%1L3LalPS6(NVtmaWn}jJ zD;1Yw8On1&Y~59fK6<0?*y{MWd~8 zEsoEye}W7QxqdwXDTdtgmh%tdcMjs*#sz7ySTsEjB-UmaWJ@E`m*eg&aO*xHn}m!E zABDFTWF@@153%Qg`reGr?y*!n-w}o0@81Y{7B)tYUnK1Po(x(81<{ zexApZevDEcIt9#|5rT`0)1znDQ`T+Vx$CX#yr{amI(y103LT~R2=xWhiJ)Ka0R)G@ z&%UQ3kvSSr!#6d}LMiT9+)Nw+G{6WJEd9J8gA3M9(M19s$C>GqjR_AQZbdzE7##T_ zv%?3)wW5Is;t)UTKTxN0^@pU|V<}~y%_BfH{!SN6w@+bB(QWKQN-4vJ@f+w*#)n&k zV5;7ka(tYk)Oscv$0SRhLA^jNr@g&*!9DD7+Uz4$@Gr+(9lIdEpR10Ed*o`A-Z87TkMV(;MOd$YtNo6Ft?2H2kUe zB=?7Y-)V-N3^e07PKL#rcS0$*-p#E8EMypJrKcK6UVeVXaG4^B1Rz;|L()bxUr&%} zIFR${bTe{42-aIc9NM8x@iWKodaIu^ot>&zeaD$3 znFS@FaJc@TXDuGhOe;jab=|#P7XFlEs|_L|BD=V_zUMpKE$_t4GoLjZxzaATdG<`n zciyB#XroN~hzo_$^@B;&L|>FUUYt!>OLDL}+CDnq3Ja-@Q1);$Dtzp_%w zlZ5>d@&CJ^7y~9f;8U#!ZyMjvQf+zZgODapw)ORl`Zm^>HdsU z<%2gcB(?weQJ61gS{kSgHw*^?s9Cb)I0W30C;j0vb;%TQGME7x4ynPwRAitih<{Xx z#b|dvzr3)n<)v$O8-A82gd1c^mE%PGz<~>M=nuR=K-Og2n7}xjGA1s!H5OJ-q>hnE zBP@9`DJuHt=MSUCf~d=>eX^*ej}5LSQP?*17WLP#B39Gq~U9}&ZxrDAygWt>0CDG(jZAq1 zzX|ZNsej7!Ojpn=6Gw<=CUe}gA*czzxC&6~57?UEdJZ*u@aEE(#XiRAI=~tG%O6m~ zjNaN|QU#e@go$-}KRId*Nw^>a7qG|?jH~ZC(j<+39eW;Jmc2cwfI6)_4xGXpUEI)c z9{~fVlXI_N;Cbib2dGB_UT}g`J?O~C-}nhDCN%7^<03>e3|I`XWqCp}cs76-;a|T_Zrcn0jyQ@H6T2SozFI72I9^S#<3hhDEBz@6(oB!=H@Q=OEi#62E)ElH5)yW8WXLSxxx^< zh40bD{u&Nqv%*18_2I(}C;@)-2eKnxRA@$yW!u7I(03cQ&LBQak;K!P*>1<2L*%&t z&6L3Y(1l8a*@XiqiWhC= zsO&O?IB^ripe`j6i?MPK`*N`Kc|7>tGee7#dmlIN;ye?yS9~w*X66(%$}9H79_S}vb^3;ol%N-RhPAcoXuQMG z6V>KZ5BR>=z%=RE=^mvDT5#ZV`qR*jg9bVNp3RBsx1gPWs!{X}k%|aZX})$j`{UdpaM!#L~I&`SGCuN7N)v#0i+;#IZ!9x03S3U z8Op#M>f^HxA@+#YMPTtvLcd7TNL3z)_l?|sv50GA-@ZC9R`!M*28#KT-ul}3BU_$W zD1eAe3ZVl+ms|hv6+K1baDRLq#l2l4CYIHs;A7k8b`%=zA3uK*^E`r{d>%`;jZY?B z97?VmMC=F&RxbASZfli>j0>G;LU|q@F9s9!V(P?o%zShffcP>mQ#ttEugh&s3asnT~z^>V_lR|MA1xd^-`g{u(63lih42OBmJ92rUO!gKr z|MF0BI!nvHeklSC0#fbokTC*RzY(TIWl98Dv=|?v__079>ND}CrlwN=3q7OyDg0Km zqy?*kTorJ`hxa#jLF5vl7WyF<)89~i!M`DbR)1l(FN$`X_<{DZ275~zeafT4=VdE!TfjN049h)oyDd!TmySTClJmVJfe49exyBS()yT`{N? z)fA_l43bq6;}QzW%I@MBYR2EY*q6q#Gjfai^~A))9)V+M#Nl&Q0q6<0e)FI!Dyqki zbs$iB5AOgCdO1<3L+aWt{sGS^=*RVdTK+(v03CcV@<5RVmee?pBb}fJcS?Yix7-1x z*80knM2~kimSi-*^SzF`3hfb4b4c4N_d1G{imM$E7wYSrO%4 z)rBEVFxPpf8=ujba&|_%4++tOpctu~OeTF-$V7>ghVaPlf~DspFd-g;T&9Wd+3GLP zm-VS}F45&wzP#XWjqq7S_7?&2O?&xrt|uF+03_8vf|p=$ifIc)us_a=3#zd5paw|h z8FB=TEDdkKSgip)9pYszl8$!8)TSPUa+C;8cD#?mOIeE}1+jmMH~yHDbRHXH#)(>r zL9}F0D+)O5H_#_I;5>U6-(-rDox~L(Jrzo5d9>KfpiiOs<2e4fVUckShp-KrddwBX z=!GooNF=N#>GXso8L){UO~8EEUsvd5vAxH{Mo3v!(JzoBW-KP6m_k8`O_YQlA%ATv zLMJtGtYY!*Lh-`h&JX4SKp&JO4w=e5Ki};(!cE`= zhAT`Z?b`TGST&Z4#+pGR!iYu&*TPJiu*fdEJp5vf`34H4aMeqT^O!ug0SEswMtT=M zofnMobf;(7M5{7O!f^@v??IGOfXYZ@IwB@e-p1;~&lB*Uk=^v` zhg)>^V)p=@!0EvG`bxX7p8b$$R|VIxF!Lqm+kgU$(A7=OSSkV*a)E~^Ax4U#r8 zFlrXKq|%8K43IP68`g{be`+*~g& zuN|=c;M!0M-bTX!9(tiGNfWph{DR;-vaPyTB2k2M?_NmxcacSO>z2H=AOEI6aLJg+ zLjD}%0^rZQmza17Lzz*;N+J&KJ;)g>P^yXO6@fQ9=b&k2!3U!M_r7bwP5aQ&gw;kucf2wg?EOaPpC8iR&#s|J`3#{CgUFsO>R)y@21N_A z@ciom`7!_NxcVAb9x|Xl^v!BKHI|^zL{^-b0$5sEnPFur&UgzJJ^w%(YtRqwJwHzL}g+c58xngNg{NI;kj9Wl%?{0kd zfAIwV_gx}`U_hD)>rv=JZSM)@`t0S)DdQyoLyA6p;3!IUMZBD~AN;ABP}9>u zU9#>+ZHZFq;um96M4lDg8Th$4GhYH_@h%iZhAyK3lYWmcOfvH=8^#V+lMaWUS<`bR zSy>w3MNgqN09x(|^e29x8(Qo-v{Fp@uQ9h1rffzA2AcN`Nt(;>A&WiTvCVFy0+(I% zaqy?OA6i-($FT`_$>)5TET}*A-?^M7>u+lgju-RHxHu)1hSpXV!oSl{J9Jg6L-zzc zQiTraining and evaluating custom models on OCP datasets -

  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/data_parallel/index.html b/autoapi/ocpmodels/common/data_parallel/index.html index 2f3b044a0..e7fe0cda0 100644 --- a/autoapi/ocpmodels/common/data_parallel/index.html +++ b/autoapi/ocpmodels/common/data_parallel/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/distutils/index.html b/autoapi/ocpmodels/common/distutils/index.html index b621f1f69..a7a91aa62 100644 --- a/autoapi/ocpmodels/common/distutils/index.html +++ b/autoapi/ocpmodels/common/distutils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/flags/index.html b/autoapi/ocpmodels/common/flags/index.html index cb3a135d5..847484820 100644 --- a/autoapi/ocpmodels/common/flags/index.html +++ b/autoapi/ocpmodels/common/flags/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/gp_utils/index.html b/autoapi/ocpmodels/common/gp_utils/index.html index abf0d4c4a..23b29cf11 100644 --- a/autoapi/ocpmodels/common/gp_utils/index.html +++ b/autoapi/ocpmodels/common/gp_utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/hpo_utils/index.html b/autoapi/ocpmodels/common/hpo_utils/index.html index f8fc5b0ff..5c4354711 100644 --- a/autoapi/ocpmodels/common/hpo_utils/index.html +++ b/autoapi/ocpmodels/common/hpo_utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/index.html b/autoapi/ocpmodels/common/index.html index 95cccbfa3..7f9144e7e 100644 --- a/autoapi/ocpmodels/common/index.html +++ b/autoapi/ocpmodels/common/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/logger/index.html b/autoapi/ocpmodels/common/logger/index.html index 723aa02c5..37a1ba5f1 100644 --- a/autoapi/ocpmodels/common/logger/index.html +++ b/autoapi/ocpmodels/common/logger/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/registry/index.html b/autoapi/ocpmodels/common/registry/index.html index 11965bfb1..de386f66d 100644 --- a/autoapi/ocpmodels/common/registry/index.html +++ b/autoapi/ocpmodels/common/registry/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/relaxation/ase_utils/index.html b/autoapi/ocpmodels/common/relaxation/ase_utils/index.html index 83a2e7fa6..5da6a6960 100644 --- a/autoapi/ocpmodels/common/relaxation/ase_utils/index.html +++ b/autoapi/ocpmodels/common/relaxation/ase_utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/relaxation/index.html b/autoapi/ocpmodels/common/relaxation/index.html index 9b862bc1e..fed0fdf73 100644 --- a/autoapi/ocpmodels/common/relaxation/index.html +++ b/autoapi/ocpmodels/common/relaxation/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/relaxation/ml_relaxation/index.html b/autoapi/ocpmodels/common/relaxation/ml_relaxation/index.html index 62fcf4b52..d13b98b54 100644 --- a/autoapi/ocpmodels/common/relaxation/ml_relaxation/index.html +++ b/autoapi/ocpmodels/common/relaxation/ml_relaxation/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/relaxation/optimizers/index.html b/autoapi/ocpmodels/common/relaxation/optimizers/index.html index 9c61a3b52..db2ccc4c3 100644 --- a/autoapi/ocpmodels/common/relaxation/optimizers/index.html +++ b/autoapi/ocpmodels/common/relaxation/optimizers/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/relaxation/optimizers/lbfgs_torch/index.html b/autoapi/ocpmodels/common/relaxation/optimizers/lbfgs_torch/index.html index 7d46e4f8e..644ae5631 100644 --- a/autoapi/ocpmodels/common/relaxation/optimizers/lbfgs_torch/index.html +++ b/autoapi/ocpmodels/common/relaxation/optimizers/lbfgs_torch/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/transforms/index.html b/autoapi/ocpmodels/common/transforms/index.html index bbf6bb2a2..8bbd485d6 100644 --- a/autoapi/ocpmodels/common/transforms/index.html +++ b/autoapi/ocpmodels/common/transforms/index.html @@ -218,7 +218,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -227,7 +227,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/tutorial_utils/index.html b/autoapi/ocpmodels/common/tutorial_utils/index.html index 6333484d1..b63af3950 100644 --- a/autoapi/ocpmodels/common/tutorial_utils/index.html +++ b/autoapi/ocpmodels/common/tutorial_utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/typing/index.html b/autoapi/ocpmodels/common/typing/index.html index 57e0c051c..8399f4d14 100644 --- a/autoapi/ocpmodels/common/typing/index.html +++ b/autoapi/ocpmodels/common/typing/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/common/utils/index.html b/autoapi/ocpmodels/common/utils/index.html index ee3e94efe..2c671b6ac 100644 --- a/autoapi/ocpmodels/common/utils/index.html +++ b/autoapi/ocpmodels/common/utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/datasets/_utils/index.html b/autoapi/ocpmodels/datasets/_utils/index.html index ea79ef75f..7525d6427 100644 --- a/autoapi/ocpmodels/datasets/_utils/index.html +++ b/autoapi/ocpmodels/datasets/_utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/datasets/ase_datasets/index.html b/autoapi/ocpmodels/datasets/ase_datasets/index.html index d8dacc3eb..067d28c6a 100644 --- a/autoapi/ocpmodels/datasets/ase_datasets/index.html +++ b/autoapi/ocpmodels/datasets/ase_datasets/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/datasets/embeddings/atomic_radii/index.html b/autoapi/ocpmodels/datasets/embeddings/atomic_radii/index.html index e643ae875..389fbbd9d 100644 --- a/autoapi/ocpmodels/datasets/embeddings/atomic_radii/index.html +++ b/autoapi/ocpmodels/datasets/embeddings/atomic_radii/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/datasets/embeddings/continuous_embeddings/index.html b/autoapi/ocpmodels/datasets/embeddings/continuous_embeddings/index.html index fe2950e26..89869971f 100644 --- a/autoapi/ocpmodels/datasets/embeddings/continuous_embeddings/index.html +++ b/autoapi/ocpmodels/datasets/embeddings/continuous_embeddings/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/datasets/embeddings/index.html b/autoapi/ocpmodels/datasets/embeddings/index.html index 5411d6e4d..760403325 100644 --- a/autoapi/ocpmodels/datasets/embeddings/index.html +++ b/autoapi/ocpmodels/datasets/embeddings/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/datasets/embeddings/khot_embeddings/index.html b/autoapi/ocpmodels/datasets/embeddings/khot_embeddings/index.html index 0e8353d40..b80c37388 100644 --- a/autoapi/ocpmodels/datasets/embeddings/khot_embeddings/index.html +++ b/autoapi/ocpmodels/datasets/embeddings/khot_embeddings/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/datasets/embeddings/qmof_khot_embeddings/index.html b/autoapi/ocpmodels/datasets/embeddings/qmof_khot_embeddings/index.html index de02a8863..075b266ac 100644 --- a/autoapi/ocpmodels/datasets/embeddings/qmof_khot_embeddings/index.html +++ b/autoapi/ocpmodels/datasets/embeddings/qmof_khot_embeddings/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/datasets/index.html b/autoapi/ocpmodels/datasets/index.html index 0658352dc..6d760092f 100644 --- a/autoapi/ocpmodels/datasets/index.html +++ b/autoapi/ocpmodels/datasets/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/datasets/lmdb_database/index.html b/autoapi/ocpmodels/datasets/lmdb_database/index.html index 1bb0a490f..a43a1aafc 100644 --- a/autoapi/ocpmodels/datasets/lmdb_database/index.html +++ b/autoapi/ocpmodels/datasets/lmdb_database/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/datasets/lmdb_dataset/index.html b/autoapi/ocpmodels/datasets/lmdb_dataset/index.html index ceae52d42..020f9b41c 100644 --- a/autoapi/ocpmodels/datasets/lmdb_dataset/index.html +++ b/autoapi/ocpmodels/datasets/lmdb_dataset/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/datasets/oc22_lmdb_dataset/index.html b/autoapi/ocpmodels/datasets/oc22_lmdb_dataset/index.html index dbc7bfb06..2863294bb 100644 --- a/autoapi/ocpmodels/datasets/oc22_lmdb_dataset/index.html +++ b/autoapi/ocpmodels/datasets/oc22_lmdb_dataset/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/datasets/target_metadata_guesser/index.html b/autoapi/ocpmodels/datasets/target_metadata_guesser/index.html index 3337cbea1..0f33f3767 100644 --- a/autoapi/ocpmodels/datasets/target_metadata_guesser/index.html +++ b/autoapi/ocpmodels/datasets/target_metadata_guesser/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/index.html b/autoapi/ocpmodels/index.html index a9a907118..a7665506e 100644 --- a/autoapi/ocpmodels/index.html +++ b/autoapi/ocpmodels/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/base/index.html b/autoapi/ocpmodels/models/base/index.html index fc28e7fac..d3425718a 100644 --- a/autoapi/ocpmodels/models/base/index.html +++ b/autoapi/ocpmodels/models/base/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/dimenet_plus_plus/index.html b/autoapi/ocpmodels/models/dimenet_plus_plus/index.html index dbf6f103f..62e61dcfb 100644 --- a/autoapi/ocpmodels/models/dimenet_plus_plus/index.html +++ b/autoapi/ocpmodels/models/dimenet_plus_plus/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/activation/index.html b/autoapi/ocpmodels/models/equiformer_v2/activation/index.html index 54149cc8f..df9865e97 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/activation/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/activation/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/drop/index.html b/autoapi/ocpmodels/models/equiformer_v2/drop/index.html index 3bdd0c62c..9c3cc27fd 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/drop/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/drop/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/edge_rot_mat/index.html b/autoapi/ocpmodels/models/equiformer_v2/edge_rot_mat/index.html index ec2a46024..f368c16e7 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/edge_rot_mat/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/edge_rot_mat/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/equiformer_v2_oc20/index.html b/autoapi/ocpmodels/models/equiformer_v2/equiformer_v2_oc20/index.html index abdd00480..a7c121c70 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/equiformer_v2_oc20/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/equiformer_v2_oc20/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/gaussian_rbf/index.html b/autoapi/ocpmodels/models/equiformer_v2/gaussian_rbf/index.html index fa4355c72..ac46b717a 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/gaussian_rbf/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/gaussian_rbf/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/index.html b/autoapi/ocpmodels/models/equiformer_v2/index.html index 2b1d4cba2..ede6a7e2f 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/input_block/index.html b/autoapi/ocpmodels/models/equiformer_v2/input_block/index.html index 33b9d4d30..0ff61bd7a 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/input_block/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/input_block/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/layer_norm/index.html b/autoapi/ocpmodels/models/equiformer_v2/layer_norm/index.html index 7861533b9..49d5aa20d 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/layer_norm/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/layer_norm/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/module_list/index.html b/autoapi/ocpmodels/models/equiformer_v2/module_list/index.html index ca0d01191..e8cc5c6fe 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/module_list/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/module_list/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/radial_function/index.html b/autoapi/ocpmodels/models/equiformer_v2/radial_function/index.html index 771548ee9..c5b8cf957 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/radial_function/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/radial_function/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/so2_ops/index.html b/autoapi/ocpmodels/models/equiformer_v2/so2_ops/index.html index c5c783361..3081f6453 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/so2_ops/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/so2_ops/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/so3/index.html b/autoapi/ocpmodels/models/equiformer_v2/so3/index.html index ea694365a..9d62ce06e 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/so3/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/so3/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/trainers/energy_trainer/index.html b/autoapi/ocpmodels/models/equiformer_v2/trainers/energy_trainer/index.html index 2d5ef4b42..6c6f8ac44 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/trainers/energy_trainer/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/trainers/energy_trainer/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/trainers/forces_trainer/index.html b/autoapi/ocpmodels/models/equiformer_v2/trainers/forces_trainer/index.html index 7f4ff417b..95a2ad906 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/trainers/forces_trainer/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/trainers/forces_trainer/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/trainers/index.html b/autoapi/ocpmodels/models/equiformer_v2/trainers/index.html index d7625cbd8..0d7a800af 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/trainers/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/trainers/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/trainers/lr_scheduler/index.html b/autoapi/ocpmodels/models/equiformer_v2/trainers/lr_scheduler/index.html index 3c3a866f4..96380d07a 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/trainers/lr_scheduler/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/trainers/lr_scheduler/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/transformer_block/index.html b/autoapi/ocpmodels/models/equiformer_v2/transformer_block/index.html index 5f4c8c350..de9c49a9c 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/transformer_block/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/transformer_block/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/equiformer_v2/wigner/index.html b/autoapi/ocpmodels/models/equiformer_v2/wigner/index.html index 1013af861..6d885ce95 100644 --- a/autoapi/ocpmodels/models/equiformer_v2/wigner/index.html +++ b/autoapi/ocpmodels/models/equiformer_v2/wigner/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/escn/escn/index.html b/autoapi/ocpmodels/models/escn/escn/index.html index 24c142317..41fc6ffe2 100644 --- a/autoapi/ocpmodels/models/escn/escn/index.html +++ b/autoapi/ocpmodels/models/escn/escn/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/escn/index.html b/autoapi/ocpmodels/models/escn/index.html index 7531712c8..e5068b00e 100644 --- a/autoapi/ocpmodels/models/escn/index.html +++ b/autoapi/ocpmodels/models/escn/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/escn/so3/index.html b/autoapi/ocpmodels/models/escn/so3/index.html index a7b57d6cc..f6d6fba87 100644 --- a/autoapi/ocpmodels/models/escn/so3/index.html +++ b/autoapi/ocpmodels/models/escn/so3/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/gemnet/index.html b/autoapi/ocpmodels/models/gemnet/gemnet/index.html index 4aeff5669..f4e2164db 100644 --- a/autoapi/ocpmodels/models/gemnet/gemnet/index.html +++ b/autoapi/ocpmodels/models/gemnet/gemnet/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/index.html b/autoapi/ocpmodels/models/gemnet/index.html index 02d6a7abc..26e321952 100644 --- a/autoapi/ocpmodels/models/gemnet/index.html +++ b/autoapi/ocpmodels/models/gemnet/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/initializers/index.html b/autoapi/ocpmodels/models/gemnet/initializers/index.html index 11fcf0aa2..a97db0945 100644 --- a/autoapi/ocpmodels/models/gemnet/initializers/index.html +++ b/autoapi/ocpmodels/models/gemnet/initializers/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/layers/atom_update_block/index.html b/autoapi/ocpmodels/models/gemnet/layers/atom_update_block/index.html index bb5cb672d..fa7b6b49c 100644 --- a/autoapi/ocpmodels/models/gemnet/layers/atom_update_block/index.html +++ b/autoapi/ocpmodels/models/gemnet/layers/atom_update_block/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/layers/base_layers/index.html b/autoapi/ocpmodels/models/gemnet/layers/base_layers/index.html index abdb71e6e..6e297937e 100644 --- a/autoapi/ocpmodels/models/gemnet/layers/base_layers/index.html +++ b/autoapi/ocpmodels/models/gemnet/layers/base_layers/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/layers/basis_utils/index.html b/autoapi/ocpmodels/models/gemnet/layers/basis_utils/index.html index 4c223921a..69e2e1e14 100644 --- a/autoapi/ocpmodels/models/gemnet/layers/basis_utils/index.html +++ b/autoapi/ocpmodels/models/gemnet/layers/basis_utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/layers/efficient/index.html b/autoapi/ocpmodels/models/gemnet/layers/efficient/index.html index bca31df0d..d3b59db39 100644 --- a/autoapi/ocpmodels/models/gemnet/layers/efficient/index.html +++ b/autoapi/ocpmodels/models/gemnet/layers/efficient/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/layers/embedding_block/index.html b/autoapi/ocpmodels/models/gemnet/layers/embedding_block/index.html index fc7064aab..63bf42e65 100644 --- a/autoapi/ocpmodels/models/gemnet/layers/embedding_block/index.html +++ b/autoapi/ocpmodels/models/gemnet/layers/embedding_block/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/layers/index.html b/autoapi/ocpmodels/models/gemnet/layers/index.html index 0d43be42b..97e3d6c26 100644 --- a/autoapi/ocpmodels/models/gemnet/layers/index.html +++ b/autoapi/ocpmodels/models/gemnet/layers/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/layers/interaction_block/index.html b/autoapi/ocpmodels/models/gemnet/layers/interaction_block/index.html index 884b6b0e3..af0daf355 100644 --- a/autoapi/ocpmodels/models/gemnet/layers/interaction_block/index.html +++ b/autoapi/ocpmodels/models/gemnet/layers/interaction_block/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/layers/radial_basis/index.html b/autoapi/ocpmodels/models/gemnet/layers/radial_basis/index.html index df9b2d413..47693b2bd 100644 --- a/autoapi/ocpmodels/models/gemnet/layers/radial_basis/index.html +++ b/autoapi/ocpmodels/models/gemnet/layers/radial_basis/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/layers/spherical_basis/index.html b/autoapi/ocpmodels/models/gemnet/layers/spherical_basis/index.html index a88c2d3dd..05c4b7c30 100644 --- a/autoapi/ocpmodels/models/gemnet/layers/spherical_basis/index.html +++ b/autoapi/ocpmodels/models/gemnet/layers/spherical_basis/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet/utils/index.html b/autoapi/ocpmodels/models/gemnet/utils/index.html index dde7855a3..1d1d55bb8 100644 --- a/autoapi/ocpmodels/models/gemnet/utils/index.html +++ b/autoapi/ocpmodels/models/gemnet/utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/gemnet/index.html b/autoapi/ocpmodels/models/gemnet_gp/gemnet/index.html index 5f12e2c34..2bf1d5e86 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/gemnet/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/gemnet/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/index.html b/autoapi/ocpmodels/models/gemnet_gp/index.html index 28fdd5c50..74c7b3628 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/initializers/index.html b/autoapi/ocpmodels/models/gemnet_gp/initializers/index.html index e110bac0d..867835967 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/initializers/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/initializers/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/atom_update_block/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/atom_update_block/index.html index 282f09c43..78054785f 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/layers/atom_update_block/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/layers/atom_update_block/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/base_layers/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/base_layers/index.html index d6ea3b7a6..858729f65 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/layers/base_layers/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/layers/base_layers/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/basis_utils/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/basis_utils/index.html index d2a3df985..a13e4037f 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/layers/basis_utils/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/layers/basis_utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/efficient/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/efficient/index.html index 11aa14f89..e94c118ee 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/layers/efficient/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/layers/efficient/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/embedding_block/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/embedding_block/index.html index 8340776cd..0014582c8 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/layers/embedding_block/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/layers/embedding_block/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/index.html index c4dde66e1..ca90ecf11 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/layers/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/layers/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/interaction_block/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/interaction_block/index.html index 3a8dab3ab..95af16021 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/layers/interaction_block/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/layers/interaction_block/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/radial_basis/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/radial_basis/index.html index b337e3838..6ad95f7d8 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/layers/radial_basis/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/layers/radial_basis/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/layers/spherical_basis/index.html b/autoapi/ocpmodels/models/gemnet_gp/layers/spherical_basis/index.html index c0fabd84c..214883052 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/layers/spherical_basis/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/layers/spherical_basis/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_gp/utils/index.html b/autoapi/ocpmodels/models/gemnet_gp/utils/index.html index f7b4ab174..fa966ca23 100644 --- a/autoapi/ocpmodels/models/gemnet_gp/utils/index.html +++ b/autoapi/ocpmodels/models/gemnet_gp/utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/gemnet_oc/index.html b/autoapi/ocpmodels/models/gemnet_oc/gemnet_oc/index.html index 55dc49d7d..d9432d18e 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/gemnet_oc/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/gemnet_oc/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/index.html b/autoapi/ocpmodels/models/gemnet_oc/index.html index 0774690d1..e5d11999b 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/initializers/index.html b/autoapi/ocpmodels/models/gemnet_oc/initializers/index.html index ddc9f61ae..d93eea3a2 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/initializers/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/initializers/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/interaction_indices/index.html b/autoapi/ocpmodels/models/gemnet_oc/interaction_indices/index.html index dc44c93d6..db982fc9a 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/interaction_indices/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/interaction_indices/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/atom_update_block/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/atom_update_block/index.html index ec87caa64..10f56fc49 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/layers/atom_update_block/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/layers/atom_update_block/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/base_layers/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/base_layers/index.html index 6880e1b84..feaf7487d 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/layers/base_layers/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/layers/base_layers/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/basis_utils/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/basis_utils/index.html index 5d469005f..e432e5f84 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/layers/basis_utils/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/layers/basis_utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/efficient/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/efficient/index.html index 5d194c2ea..1bcd039bd 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/layers/efficient/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/layers/efficient/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/embedding_block/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/embedding_block/index.html index 1b59134ae..5279cf66c 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/layers/embedding_block/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/layers/embedding_block/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/force_scaler/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/force_scaler/index.html index 6dcd09d1c..b1fed3b2b 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/layers/force_scaler/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/layers/force_scaler/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/index.html index 35a789dde..d2b21bb18 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/layers/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/layers/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/interaction_block/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/interaction_block/index.html index 8b976f296..1cad5f8dd 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/layers/interaction_block/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/layers/interaction_block/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/radial_basis/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/radial_basis/index.html index 7c6914f80..078d26618 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/layers/radial_basis/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/layers/radial_basis/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/layers/spherical_basis/index.html b/autoapi/ocpmodels/models/gemnet_oc/layers/spherical_basis/index.html index ed130e184..a8e1f0750 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/layers/spherical_basis/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/layers/spherical_basis/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/gemnet_oc/utils/index.html b/autoapi/ocpmodels/models/gemnet_oc/utils/index.html index 8ef230d79..a2c207092 100644 --- a/autoapi/ocpmodels/models/gemnet_oc/utils/index.html +++ b/autoapi/ocpmodels/models/gemnet_oc/utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/index.html b/autoapi/ocpmodels/models/index.html index 44684dc05..261e103a3 100644 --- a/autoapi/ocpmodels/models/index.html +++ b/autoapi/ocpmodels/models/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/model_registry/index.html b/autoapi/ocpmodels/models/model_registry/index.html index 3c9187e66..d6cd679c4 100644 --- a/autoapi/ocpmodels/models/model_registry/index.html +++ b/autoapi/ocpmodels/models/model_registry/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/painn/index.html b/autoapi/ocpmodels/models/painn/index.html index 34845317a..479148490 100644 --- a/autoapi/ocpmodels/models/painn/index.html +++ b/autoapi/ocpmodels/models/painn/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/painn/painn/index.html b/autoapi/ocpmodels/models/painn/painn/index.html index 3a8c61808..533b8ea55 100644 --- a/autoapi/ocpmodels/models/painn/painn/index.html +++ b/autoapi/ocpmodels/models/painn/painn/index.html @@ -218,7 +218,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -227,7 +227,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/painn/utils/index.html b/autoapi/ocpmodels/models/painn/utils/index.html index 1b32ff747..d212d6b7e 100644 --- a/autoapi/ocpmodels/models/painn/utils/index.html +++ b/autoapi/ocpmodels/models/painn/utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/schnet/index.html b/autoapi/ocpmodels/models/schnet/index.html index 1a5d46357..62afbba14 100644 --- a/autoapi/ocpmodels/models/schnet/index.html +++ b/autoapi/ocpmodels/models/schnet/index.html @@ -218,7 +218,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -227,7 +227,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/scn/index.html b/autoapi/ocpmodels/models/scn/index.html index f8202438e..da2adb834 100644 --- a/autoapi/ocpmodels/models/scn/index.html +++ b/autoapi/ocpmodels/models/scn/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/scn/sampling/index.html b/autoapi/ocpmodels/models/scn/sampling/index.html index d503b6ba0..beb513cf7 100644 --- a/autoapi/ocpmodels/models/scn/sampling/index.html +++ b/autoapi/ocpmodels/models/scn/sampling/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/scn/scn/index.html b/autoapi/ocpmodels/models/scn/scn/index.html index 95d29f268..a8f2dacb0 100644 --- a/autoapi/ocpmodels/models/scn/scn/index.html +++ b/autoapi/ocpmodels/models/scn/scn/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/scn/smearing/index.html b/autoapi/ocpmodels/models/scn/smearing/index.html index b008de90a..b515afc55 100644 --- a/autoapi/ocpmodels/models/scn/smearing/index.html +++ b/autoapi/ocpmodels/models/scn/smearing/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/scn/spherical_harmonics/index.html b/autoapi/ocpmodels/models/scn/spherical_harmonics/index.html index b123afce1..a5e6a4f27 100644 --- a/autoapi/ocpmodels/models/scn/spherical_harmonics/index.html +++ b/autoapi/ocpmodels/models/scn/spherical_harmonics/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/utils/activations/index.html b/autoapi/ocpmodels/models/utils/activations/index.html index 49b374f7c..64cd24440 100644 --- a/autoapi/ocpmodels/models/utils/activations/index.html +++ b/autoapi/ocpmodels/models/utils/activations/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/utils/basis/index.html b/autoapi/ocpmodels/models/utils/basis/index.html index 5f4559c0f..479a4314d 100644 --- a/autoapi/ocpmodels/models/utils/basis/index.html +++ b/autoapi/ocpmodels/models/utils/basis/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/models/utils/index.html b/autoapi/ocpmodels/models/utils/index.html index dea1f222a..94f991215 100644 --- a/autoapi/ocpmodels/models/utils/index.html +++ b/autoapi/ocpmodels/models/utils/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/modules/evaluator/index.html b/autoapi/ocpmodels/modules/evaluator/index.html index 9951a22a7..3b6948341 100644 --- a/autoapi/ocpmodels/modules/evaluator/index.html +++ b/autoapi/ocpmodels/modules/evaluator/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/modules/exponential_moving_average/index.html b/autoapi/ocpmodels/modules/exponential_moving_average/index.html index 5b873a76e..ce301ee8d 100644 --- a/autoapi/ocpmodels/modules/exponential_moving_average/index.html +++ b/autoapi/ocpmodels/modules/exponential_moving_average/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/modules/index.html b/autoapi/ocpmodels/modules/index.html index 783db7a56..e64b263e6 100644 --- a/autoapi/ocpmodels/modules/index.html +++ b/autoapi/ocpmodels/modules/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/modules/loss/index.html b/autoapi/ocpmodels/modules/loss/index.html index 0b0e273d4..1b5c0dc52 100644 --- a/autoapi/ocpmodels/modules/loss/index.html +++ b/autoapi/ocpmodels/modules/loss/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/modules/normalizer/index.html b/autoapi/ocpmodels/modules/normalizer/index.html index 92a2d7e5a..9b5904ad4 100644 --- a/autoapi/ocpmodels/modules/normalizer/index.html +++ b/autoapi/ocpmodels/modules/normalizer/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/modules/scaling/compat/index.html b/autoapi/ocpmodels/modules/scaling/compat/index.html index afae76581..a6cf2b61a 100644 --- a/autoapi/ocpmodels/modules/scaling/compat/index.html +++ b/autoapi/ocpmodels/modules/scaling/compat/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/modules/scaling/fit/index.html b/autoapi/ocpmodels/modules/scaling/fit/index.html index 73c26ff69..d0ce0d8b6 100644 --- a/autoapi/ocpmodels/modules/scaling/fit/index.html +++ b/autoapi/ocpmodels/modules/scaling/fit/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/modules/scaling/index.html b/autoapi/ocpmodels/modules/scaling/index.html index 5f347614c..56104df8f 100644 --- a/autoapi/ocpmodels/modules/scaling/index.html +++ b/autoapi/ocpmodels/modules/scaling/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/modules/scaling/scale_factor/index.html b/autoapi/ocpmodels/modules/scaling/scale_factor/index.html index 0b2b1902e..a3799d8a4 100644 --- a/autoapi/ocpmodels/modules/scaling/scale_factor/index.html +++ b/autoapi/ocpmodels/modules/scaling/scale_factor/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/modules/scaling/util/index.html b/autoapi/ocpmodels/modules/scaling/util/index.html index 33fa7e786..2792d4d2a 100644 --- a/autoapi/ocpmodels/modules/scaling/util/index.html +++ b/autoapi/ocpmodels/modules/scaling/util/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/modules/scheduler/index.html b/autoapi/ocpmodels/modules/scheduler/index.html index ec6341b68..4ef15ebae 100644 --- a/autoapi/ocpmodels/modules/scheduler/index.html +++ b/autoapi/ocpmodels/modules/scheduler/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/modules/transforms/index.html b/autoapi/ocpmodels/modules/transforms/index.html index f240d1e7c..bd4587161 100644 --- a/autoapi/ocpmodels/modules/transforms/index.html +++ b/autoapi/ocpmodels/modules/transforms/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/preprocessing/atoms_to_graphs/index.html b/autoapi/ocpmodels/preprocessing/atoms_to_graphs/index.html index 297aa1b69..5f9dc6331 100644 --- a/autoapi/ocpmodels/preprocessing/atoms_to_graphs/index.html +++ b/autoapi/ocpmodels/preprocessing/atoms_to_graphs/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/preprocessing/index.html b/autoapi/ocpmodels/preprocessing/index.html index b343eaef3..7b521a10b 100644 --- a/autoapi/ocpmodels/preprocessing/index.html +++ b/autoapi/ocpmodels/preprocessing/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/tasks/index.html b/autoapi/ocpmodels/tasks/index.html index 47e3e735b..a6c62a261 100644 --- a/autoapi/ocpmodels/tasks/index.html +++ b/autoapi/ocpmodels/tasks/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/tasks/task/index.html b/autoapi/ocpmodels/tasks/task/index.html index 4b6d8865f..92f542639 100644 --- a/autoapi/ocpmodels/tasks/task/index.html +++ b/autoapi/ocpmodels/tasks/task/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/trainers/base_trainer/index.html b/autoapi/ocpmodels/trainers/base_trainer/index.html index a91350080..9ef389df6 100644 --- a/autoapi/ocpmodels/trainers/base_trainer/index.html +++ b/autoapi/ocpmodels/trainers/base_trainer/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/trainers/index.html b/autoapi/ocpmodels/trainers/index.html index ffc52aeb0..bb8e5f3e5 100644 --- a/autoapi/ocpmodels/trainers/index.html +++ b/autoapi/ocpmodels/trainers/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/autoapi/ocpmodels/trainers/ocp_trainer/index.html b/autoapi/ocpmodels/trainers/ocp_trainer/index.html index 158c564ef..88cff02cd 100644 --- a/autoapi/ocpmodels/trainers/ocp_trainer/index.html +++ b/autoapi/ocpmodels/trainers/ocp_trainer/index.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/core/ase_dataset_creation.html b/core/ase_dataset_creation.html index 76eb3be45..4f2456e8d 100644 --- a/core/ase_dataset_creation.html +++ b/core/ase_dataset_creation.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/core/datasets/oc20.html b/core/datasets/oc20.html index 994262f79..e3b55ac30 100644 --- a/core/datasets/oc20.html +++ b/core/datasets/oc20.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/core/datasets/oc22.html b/core/datasets/oc22.html index ae719a4e7..e3f74fc55 100644 --- a/core/datasets/oc22.html +++ b/core/datasets/oc22.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/core/datasets/odac.html b/core/datasets/odac.html index f37b44128..84685fc09 100644 --- a/core/datasets/odac.html +++ b/core/datasets/odac.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    diff --git a/core/fine-tuning/fine-tuning-oxides.html b/core/fine-tuning/fine-tuning-oxides.html index 8f762265d..746b0a40e 100644 --- a/core/fine-tuning/fine-tuning-oxides.html +++ b/core/fine-tuning/fine-tuning-oxides.html @@ -62,7 +62,7 @@ - + @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    @@ -770,7 +769,7 @@

    Fine tuning a model
    Elapsed time 67.8 seconds.
+
    Elapsed time 71.2 seconds.
 
    
 
    
 ../../_images/92bd7f94dd548c8cfc2744eb5890cd23fada1ff98e8dc907657e2eb109af0402.png
@@ -1129,7 +1128,7 @@ 
    Running the training jobHide code cell output
 
 
    
-
    Elapsed time = 4.8 seconds
+
    Elapsed time = 5.1 seconds
 
    
 
    
 
    
@@ -1145,7 +1144,7 @@ 
    Running the training job
-
    'fine-tuning/checkpoints/2024-04-14-13-45-36-ft-oxides'
+
    'fine-tuning/checkpoints/2024-04-14-18-46-24-ft-oxides'
 
    
 
    
 
    
@@ -1195,7 +1194,7 @@ 
    Running the training job    425 def __init__(self, name, mode):
 --> 426     super().__init__(open(name, mode))
 
-FileNotFoundError: [Errno 2] No such file or directory: 'fine-tuning/checkpoints/2024-04-14-13-45-36-ft-oxides/checkpoint.pt'
+FileNotFoundError: [Errno 2] No such file or directory: 'fine-tuning/checkpoints/2024-04-14-18-46-24-ft-oxides/checkpoint.pt'
    @@ -1297,7 +1296,7 @@

    Running the training job

    previous

    -

    Mass inference

    +

    Fast batched inference

     Training and evaluating custom models on OCP datasets -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    @@ -930,7 +929,7 @@

    I get wildly different energies from the different models
    1.6857233047485352
+
    1.6722240447998047
    @@ -1434,7 +1433,7 @@

    To tag or not?
    -0.4297371208667755
+
    -0.42973750829696655
    @@ -1484,17 +1483,17 @@

    Stochastic simulation results
    1.213986611366272 1.452006337984573e-06
-1.2139859199523926
-1.2139863967895508
-1.213989019393921
-1.2139863967895508
+
    1.213987445831299 1.0936112347774234e-06
+1.2139878273010254
 1.2139873504638672
-1.2139852046966553
+1.2139878273010254
 1.2139873504638672
+1.2139885425567627
+1.2139897346496582
+1.213987112045288
 1.213986873626709
-1.2139835357666016
-1.2139880657196045
+1.2139856815338135
+1.2139861583709717
    @@ -1537,7 +1536,7 @@

    The forces don’t sum to zero
    array([ 0.00847958,  0.01409577, -0.05882812], dtype=float32)
+
    array([ 0.00847837,  0.01409242, -0.05882645], dtype=float32)
    @@ -1550,7 +1549,7 @@

    The forces don’t sum to zero -
    array([ 1.7927960e-08, -5.4948032e-08, -1.1920929e-07], dtype=float32)
+
    array([-6.1525498e-08,  1.7229468e-08, -3.5762787e-07], dtype=float32)
    diff --git a/core/inference.html b/core/inference.html index 14b0293d1..2bbe13b6f 100644 --- a/core/inference.html +++ b/core/inference.html @@ -8,7 +8,7 @@ - Mass inference — Open Catalyst Project Documentation + Fast batched inference — Open Catalyst Project Documentation @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    @@ -548,7 +547,7 @@
    -

    Mass inference

    +

    Fast batched inference

    @@ -558,7 +557,7 @@

    Contents

    We used them to search for similar atomic structures.

    -

    We can use them for diagnostic purposes, or clustering. For GemNet-OC, we provide 5 different kinds of embeddings:

    +

    We can use them for diagnostic purposes, or clustering.

    +

    In this example, we patch the GemNetOC model to save the embeddings so you can easily access them. This requires two changes. The first is in the GemNetOC model where the embeddings are saved, and the second is in the OCPCalculator to retrieve them.

    +

    We provide 5 different kinds of embeddings:

    1. ‘h’ - This is an early block in the embedding calculation. You get the h-embedding for each atom

    2. ‘h sum’ - This is an early block in the embedding calculation. You get the h-embedding summed over each atom

      3. @@ -595,7 +596,15 @@

      Working with embeddings

      ‘x_E sum’ - summed over atoms

    3. ‘x_F sum’ - This is related to the forces

    -

    In principle other models could be adapted in a similar way.

    +

    In principle other models could be adapted in a similar way. See embedding-monkeypatch.py for details on the patch. We simply run this notebook below to load it.

    +

    The OCP project is still under active development, and it is not yet clear what the best way to access these embeddings are, so this code is not yet part of the main development branch. This code was adapted from a branch at https://github.com/Open-Catalyst-Project/ocp/blob/gnoc-embeddings.

    +
    +
    +
    import embedding_monkeypatch
+
    +
    +
    +

    A diagnostic example#

    @@ -619,7 +628,6 @@

    A diagnostic examplecheckpoint_path = model_name_to_local_file('GemNet-OCOC20+OC22', local_cache='/tmp/ocp_checkpoints/') calc = OCPCalculator(checkpoint_path=checkpoint_path) -calc.trainer._unwrapped_model.return_embedding = True

    @@ -629,7 +637,8 @@

    Bulk Cu equation of state example
    -
    a0 = 3.63
+
    #calc.trainer._unwrapped_model.return_embedding = False
+a0 = 3.63
 E = []
 
 LC = np.linspace(0.95 * a0, 1.05 * a0, 20)
@@ -659,7 +668,7 @@ 
    Bulk Cu equation of state example
 
    
 
    
-
    Something is a little off in this equation of state, there is an unphysical bump in it. We now rerun this and get the embeddings. You simply set calc.trainer._unwrapped_model.return_embedding = True  and the calculator will return useful embeddings if possible (e.g. for GemNet-OC). We need a reference configuration to compare too. We choose a lattice constant of 3.63 angstroms and compute three different embeddings.
    
+
    Something is a little off in this equation of state, there is an unphysical bump in it. We now rerun this and get the embeddings. You simply call the calc.embed method. We need a reference configuration to compare too. We choose a lattice constant of 3.63 angstroms and compute three different embeddings.
    
 
    
 
    
 
    a0 = 3.63
@@ -672,21 +681,56 @@ 
    Bulk Cu equation of state exampleatoms.set_tags(np.ones(len(atoms)))
 atoms.calc = calc
 
-atoms.get_potential_energy()
+out = calc.embed(atoms)
 
-x1, x2, x3 = atoms.calc.results['h sum'], atoms.calc.results['x_E sum'], atoms.calc.results['x_F sum']
+x1, x2, x3 = out['h sum'], out['x_E sum'], out['x_F sum']
 
    
 
    
 
    
 
    
 
    ---------------------------------------------------------------------------
-KeyError                                  Traceback (most recent call last)
-Cell In[4], line 13
+AttributeError                            Traceback (most recent call last)
+Cell In[5], line 11
+      8 atoms.set_tags(np.ones(len(atoms)))
       9 atoms.calc = calc
-     11 atoms.get_potential_energy()
----> 13 x1, x2, x3 = atoms.calc.results['h sum'], atoms.calc.results['x_E sum'], atoms.calc.results['x_F sum']
-
-KeyError: 'h sum'
+---> 11 out = calc.embed(atoms)
+     13 x1, x2, x3 = out['h sum'], out['x_E sum'], out['x_F sum']
+
+File ~/work/ocp/ocp/docs/tutorials/advanced/embedding_monkeypatch.py:188, in embed(self, atoms)
+    186 with torch.cuda.amp.autocast(enabled=self.trainer.scaler is not None):
+    187     with torch.no_grad():
+--> 188         out = self.trainer.model([batch_list])
+    190 if self.trainer.normalizers is not None and "target" in self.trainer.normalizers:
+    191     out["energy"] = self.trainer.normalizers["target"].denorm(out["energy"])
+
+File /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py:1511, in Module._wrapped_call_impl(self, *args, **kwargs)
+   1509     return self._compiled_call_impl(*args, **kwargs)  # type: ignore[misc]
+   1510 else:
+-> 1511     return self._call_impl(*args, **kwargs)
+
+File /opt/hostedtoolcache/Python/3.11.9/x64/lib/python3.11/site-packages/torch/nn/modules/module.py:1520, in Module._call_impl(self, *args, **kwargs)
+   1515 # If we don't have any hooks, we want to skip the rest of the logic in
+   1516 # this function, and just call forward.
+   1517 if not (self._backward_hooks or self._backward_pre_hooks or self._forward_hooks or self._forward_pre_hooks
+   1518         or _global_backward_pre_hooks or _global_backward_hooks
+   1519         or _global_forward_hooks or _global_forward_pre_hooks):
+-> 1520     return forward_call(*args, **kwargs)
+   1522 try:
+   1523     result = None
+
+File ~/work/ocp/ocp/ocpmodels/common/utils.py:141, in conditional_grad.<locals>.decorator.<locals>.cls_method(self, *args, **kwargs)
+    139 if self.regress_forces and not getattr(self, "direct_forces", 0):
+    140     f = dec(func)
+--> 141 return f(self, *args, **kwargs)
+
+File ~/work/ocp/ocp/docs/tutorials/advanced/embedding_monkeypatch.py:10, in newforward(self, data)
+      8 @conditional_grad(torch.enable_grad())
+      9 def newforward(self, data):
+---> 10     pos = data.pos
+     11     batch = data.batch
+     12     atomic_numbers = data.atomic_numbers.long()
+
+AttributeError: 'list' object has no attribute 'pos'
 
    
 
    
 
    
@@ -706,12 +750,12 @@ 
    Bulk Cu equation of state examplepbc=True)
     atoms = atoms.repeat((2, 2, 2))
     atoms.set_tags(np.ones(len(atoms)))
-    atoms.get_potential_energy()
 
+    out = calc.embed(atoms)
     
-    cossim1.append(torch.cosine_similarity(x1, atoms.calc.results["h sum"]).item())
-    cossim2.append(torch.cosine_similarity(x2, atoms.calc.results["x_E sum"]).item())
-    cossim3.append(torch.cosine_similarity(x3, atoms.calc.results["x_F sum"]).item())
+    cossim1.append(torch.cosine_similarity(x1, out["h sum"]).item())
+    cossim2.append(torch.cosine_similarity(x2, out["x_E sum"]).item())
+    cossim3.append(torch.cosine_similarity(x3, out["x_F sum"]).item())
     E += [out['energy']]
    @@ -750,17 +794,17 @@

    A clustering example
    from ase.build import bulk
 from ase.cluster import Octahedron
 
+calc.trainer._unwrapped_model.return_embedding = True
+
 embeddings = []
 labels = []
 
 oct = Octahedron('Cu', 2)
 oct.set_tags(np.ones(len(oct)))
-oct.calc = calc
 
 for i in range(20):
     oct.rattle(0.01)
-    oct.get_potential_energy()
-    embeddings += [oct.calc.results['x_E sum'][0].numpy()]
+    embeddings += [calc.embed(oct)['x_E sum'][0].numpy()]
     labels += [0]

    @@ -771,11 +815,10 @@

    A clustering example
    b = bulk('Cu')
 b = b.repeat((2, 2, 2))
 b.set_tags(np.ones(len(b)))
-b.calc = calc
 
 for i in range(40):
     b.rattle(0.01)
-    embeddings += [b.calc.results['x_E sum'][0].numpy()]
+    embeddings += [calc.embed(b)['x_E sum'][0].numpy()]
     labels += [1]
    @@ -826,15 +869,14 @@

    Clustering individual atomsoct = Octahedron('Cu', 2) oct.set_tags(np.ones(len(oct))) -oct.calc = calc + for i in range(20): oct.rattle(0.01) - oct.get_potential_energy() - - for a in oct.calc.results['h'][0]: + out = calc.embed(oct) + for a in out['h'][0]: embeddings += [a.numpy()] labels += [0] - energies += [oct.calc.results['energy']] + energies += [out['energy']] b = bulk('Cu') b = b.repeat((2, 2, 2)) @@ -842,12 +884,11 @@

    Clustering individual atomsfor i in range(20): b.rattle(0.01) - b.get_potential_energy() - - for a in b.calc.results['h'][0]: + out = calc.embed(b) + for a in out['h'][0]: embeddings += [a.numpy()] labels += [1] - energies += [b.calc.results['energy']] + energies += [out['energy']] embeddings = np.array(embeddings) @@ -884,20 +925,17 @@

    A simple vector search exampleethanol = molecule('CH3CH2OH') ethanol.set_tags(np.ones(len(ethanol))) -ethanol.calc = calc -ethanol.get_potential_energy() - -for i, atom in enumerate(ethanol): - data[ethanol.calc.results['x_E'][0][i].numpy()] = [i, ethanol] - +ethanol_emb = calc.embed(ethanol) methane = molecule('C2H6') methane.set_tags(np.ones(len(methane))) -methane.calc = calc -methane.get_potential_energy() +methane_emb = calc.embed(methane) +for i, atom in enumerate(ethanol): + data[ethanol_emb['x_E'][0][i].numpy()] = [i, ethanol] + for i, atom in enumerate(methane): - data[methane.calc.results['x_E'][0][i].numpy()] = [i, methane] + data[methane_emb['x_E'][0][i].numpy()] = [i, methane] @@ -907,9 +945,7 @@

    A simple vector search example 
    methanol = molecule('CH3OH')
 methanol.set_tags(np.ones(len(methanol)))
-methanol.calc = calc
-methanol.get_potential_energy()
-
+methanol_emb = calc.embed(methanol)
 methanol
    @@ -917,7 +953,7 @@

    A simple vector search example
    -
    query = methanol.calc.results['x_E'][0][0].numpy()
+
    query = methanol_emb['x_E'][0][0].numpy()
    diff --git a/tutorials/advanced/fine-tuning-in-python.html b/tutorials/advanced/fine-tuning-in-python.html index 2a956771e..fdb6357b9 100644 --- a/tutorials/advanced/fine-tuning-in-python.html +++ b/tutorials/advanced/fine-tuning-in-python.html @@ -216,7 +216,7 @@
  • Training and evaluating custom models on OCP datasets
    • -
  • Mass inference
    • +
  • Fast batched inference
  • Fine tuning a model
    • @@ -225,7 +225,6 @@

    Videos and Talks

    Case Studies & Tutorials

    @@ -619,26 +618,26 @@

    Fine-tuning with Python 
    id|age|user  |formula|calculator| energy|natoms| fmax|pbc| volume|charge|   mass
- 1|79m|runner|Sn2O4  |unknown   |-41.359|     6|0.045|TTT| 64.258| 0.000|301.416
- 2|79m|runner|Sn2O4  |unknown   |-41.853|     6|0.025|TTT| 66.526| 0.000|301.416
- 3|79m|runner|Sn2O4  |unknown   |-42.199|     6|0.010|TTT| 68.794| 0.000|301.416
- 4|79m|runner|Sn2O4  |unknown   |-42.419|     6|0.006|TTT| 71.062| 0.000|301.416
- 5|79m|runner|Sn2O4  |unknown   |-42.534|     6|0.011|TTT| 73.330| 0.000|301.416
- 6|79m|runner|Sn2O4  |unknown   |-42.562|     6|0.029|TTT| 75.598| 0.000|301.416
- 7|79m|runner|Sn2O4  |unknown   |-42.518|     6|0.033|TTT| 77.866| 0.000|301.416
- 8|79m|runner|Sn2O4  |unknown   |-42.415|     6|0.010|TTT| 80.134| 0.000|301.416
- 9|79m|runner|Sn2O4  |unknown   |-42.266|     6|0.006|TTT| 82.402| 0.000|301.416
-10|79m|runner|Sn2O4  |unknown   |-42.083|     6|0.017|TTT| 84.670| 0.000|301.416
-11|79m|runner|Sn4O8  |unknown   |-81.424|    12|0.012|TTT|117.473| 0.000|602.832
-12|79m|runner|Sn4O8  |unknown   |-82.437|    12|0.005|TTT|121.620| 0.000|602.832
-13|79m|runner|Sn4O8  |unknown   |-83.147|    12|0.015|TTT|125.766| 0.000|602.832
-14|79m|runner|Sn4O8  |unknown   |-83.599|    12|0.047|TTT|129.912| 0.000|602.832
-15|79m|runner|Sn4O8  |unknown   |-83.831|    12|0.081|TTT|134.058| 0.000|602.832
-16|79m|runner|Sn4O8  |unknown   |-83.898|    12|0.001|TTT|138.204| 0.000|602.832
-17|79m|runner|Sn4O8  |unknown   |-83.805|    12|0.001|TTT|142.350| 0.000|602.832
-18|79m|runner|Sn4O8  |unknown   |-83.586|    12|0.002|TTT|146.496| 0.000|602.832
-19|79m|runner|Sn4O8  |unknown   |-83.262|    12|0.002|TTT|150.642| 0.000|602.832
-20|79m|runner|Sn4O8  |unknown   |-82.851|    12|0.013|TTT|154.788| 0.000|602.832
+ 1|82m|runner|Sn2O4  |unknown   |-41.359|     6|0.045|TTT| 64.258| 0.000|301.416
+ 2|82m|runner|Sn2O4  |unknown   |-41.853|     6|0.025|TTT| 66.526| 0.000|301.416
+ 3|82m|runner|Sn2O4  |unknown   |-42.199|     6|0.010|TTT| 68.794| 0.000|301.416
+ 4|82m|runner|Sn2O4  |unknown   |-42.419|     6|0.006|TTT| 71.062| 0.000|301.416
+ 5|82m|runner|Sn2O4  |unknown   |-42.534|     6|0.011|TTT| 73.330| 0.000|301.416
+ 6|82m|runner|Sn2O4  |unknown   |-42.562|     6|0.029|TTT| 75.598| 0.000|301.416
+ 7|82m|runner|Sn2O4  |unknown   |-42.518|     6|0.033|TTT| 77.866| 0.000|301.416
+ 8|82m|runner|Sn2O4  |unknown   |-42.415|     6|0.010|TTT| 80.134| 0.000|301.416
+ 9|82m|runner|Sn2O4  |unknown   |-42.266|     6|0.006|TTT| 82.402| 0.000|301.416
+10|82m|runner|Sn2O4  |unknown   |-42.083|     6|0.017|TTT| 84.670| 0.000|301.416
+11|82m|runner|Sn4O8  |unknown   |-81.424|    12|0.012|TTT|117.473| 0.000|602.832
+12|82m|runner|Sn4O8  |unknown   |-82.437|    12|0.005|TTT|121.620| 0.000|602.832
+13|82m|runner|Sn4O8  |unknown   |-83.147|    12|0.015|TTT|125.766| 0.000|602.832
+14|82m|runner|Sn4O8  |unknown   |-83.599|    12|0.047|TTT|129.912| 0.000|602.832
+15|82m|runner|Sn4O8  |unknown   |-83.831|    12|0.081|TTT|134.058| 0.000|602.832
+16|82m|runner|Sn4O8  |unknown   |-83.898|    12|0.001|TTT|138.204| 0.000|602.832
+17|82m|runner|Sn4O8  |unknown   |-83.805|    12|0.001|TTT|142.350| 0.000|602.832
+18|82m|runner|Sn4O8  |unknown   |-83.586|    12|0.002|TTT|146.496| 0.000|602.832
+19|82m|runner|Sn4O8  |unknown   |-83.262|    12|0.002|TTT|150.642| 0.000|602.832
+20|82m|runner|Sn4O8  |unknown   |-82.851|    12|0.013|TTT|154.788| 0.000|602.832
 Rows: 295 (showing first 20)
    @@ -931,13 +930,13 @@

    Run the training task

    -
    device 0:  50%|█████     | 1/2 [00:03<00:03,  3.67s/it]
+
    device 0:  50%|█████     | 1/2 [00:04<00:04,  4.46s/it]
 
    
 
    
-
    device 0: 100%|██████████| 2/2 [00:06<00:00,  2.95s/it]
+
    device 0: 100%|██████████| 2/2 [00:07<00:00,  3.47s/it]
 
    
 
    
-
    device 0: 100%|██████████| 2/2 [00:06<00:00,  3.09s/it]
+
    device 0: 100%|██████████| 2/2 [00:07<00:00,  3.65s/it]
 
    
 
    
 
    
diff --git a/tutorials/intro.html b/tutorials/intro.html
index 71f7873eb..76e3cfece 100644
--- a/tutorials/intro.html
+++ b/tutorials/intro.html
@@ -216,7 +216,7 @@
 
  • Training and evaluating custom models on OCP datasets
    • 
 
 
-
  • Mass inference
    • 
+
  • Fast batched inference
    • 
 
 
 
  • Fine tuning a model
    • 
@@ -225,7 +225,6 @@
 
 
    Videos and Talks
    
     
 
    Case Studies & Tutorials
    
@@ -662,7 +661,7 @@ 
    About the compute environment
 
    /opt/hostedtoolcache/Python/3.11.9/x64/bin/python 3.11.9 (main, Apr  2 2024, 15:19:53) [GCC 11.4.0]
 ocp is installed at /home/runner/work/ocp/ocp
-ocp repo is at git commit: b90c171
+ocp repo is at git commit: 962bffa
 numba: 0.59.1
 numpy: 1.23.5
 ase: 3.22.1
@@ -675,9 +674,9 @@ 
    About the compute environment
     
     
-    
+    
   
   
   
@@ -216,7 +216,7 @@
 
  • Training and evaluating custom models on OCP datasets
    • 
 
 
-
  • Mass inference
    • 
+
  • Fast batched inference
    • 
 
 
 
  • Fine tuning a model
    • 
@@ -225,7 +225,6 @@
 
 
    Videos and Talks
    
 
 
    Case Studies & Tutorials
    
@@ -598,12 +597,12 @@ 
    Technical presentations
     
       
       
    
         
    previous
    
-        
    Open Catalyst Intro Series
    
+        
    Model FAQ