diff --git a/cosmicfishpie/configs/config.py b/cosmicfishpie/configs/config.py index 2e1d04b..d0f8533 100644 --- a/cosmicfishpie/configs/config.py +++ b/cosmicfishpie/configs/config.py @@ -209,6 +209,8 @@ def init( ), ) settings.setdefault("specs_dir", settings["specs_dir_default"]) + settings.setdefault("external_data_dir", os.path.join(os.path.dirname(os.path.realpath(__file__)), + "external_data")) settings.setdefault("survey_name", surveyName) settings.setdefault("survey_specs", "ISTF-Optimistic") settings.setdefault("survey_name_photo", "Euclid-Photometric-ISTF-Pessimistic") diff --git a/cosmicfishpie/configs/default_survey_specifications/lumratio_file.dat b/cosmicfishpie/configs/external_data/lumratio_file.dat similarity index 100% rename from cosmicfishpie/configs/default_survey_specifications/lumratio_file.dat rename to cosmicfishpie/configs/external_data/lumratio_file.dat diff --git a/cosmicfishpie/configs/other_survey_specifications/Euclid-Photometric-DeboleR1.yaml b/cosmicfishpie/configs/other_survey_specifications/Euclid-Photometric-DeboleR1.yaml new file mode 100644 index 0000000..558554b --- /dev/null +++ b/cosmicfishpie/configs/other_survey_specifications/Euclid-Photometric-DeboleR1.yaml @@ -0,0 +1,45 @@ +specifications: + 'z_bins_GCph': [0.2, 0.39, 0.5, 0.65, 0.83, 1.03, 2.50] + 'z_bins_WL': [0.2, 0.44, 0.69, 0.91, 1.18, 1.51, 2.50] + 'zm': 0.9 + 'ngamma': 1.5 + 'ngal_sqarmin_GCph': 10.13 + 'ngal_sqarmin_WL': 35.88 + photo_z_params: + 'fout': 0.1 + 'co': 1 + 'cb': 1 + 'sigma_o': 0.05 + 'sigma_b': 0.05 + 'zo': 0.1 + 'zb': 0.0 + 'area_survey_GCph': 2500 + 'lmax_GCph': 750 + 'lmin_GCph': 10 + 'ellipt_error': 0.3 + 'area_survey_WL': 2500 + 'lmax_WL': 3000 + 'lmin_WL': 10 + 'kmax': 30. + 'vary_ph_bias': 0.06 + 'vary_IA_pars': 0.035 + ph_bias_model: 'binned' + ph_bias_parametrization: + binned: + keystr: 'b' + generate_bias_keys: true + binned_constant: + keystr: 'b' + generate_bias_keys: true + sqrt: + b0: 1.0 + flagship: + A: 1.0 + B: 2.5 + C: 2.8 + D: 1.6 + IA_params: + IA_model: 'eNLA' + AIA: 1.72 + betaIA: 2.17 + etaIA: -0.41 diff --git a/cosmicfishpie/cosmology/nuisance.py b/cosmicfishpie/cosmology/nuisance.py index eaefb2d..d941f80 100644 --- a/cosmicfishpie/cosmology/nuisance.py +++ b/cosmicfishpie/cosmology/nuisance.py @@ -48,6 +48,7 @@ def __init__( self.specs = self.config.specs self.settings = self.config.settings self.specsdir = self.settings["specs_dir"] + self.extdir = self.settings["external_data_dir"] self.surveyname = self.specs["survey_name"] if "GCsp" in self.observables or "IM" in self.observables: self.sp_zbins = self.gcsp_zbins() @@ -220,9 +221,8 @@ def luminosity_ratio(self): """ try: # Lumratio file for IA - lum = np.loadtxt(os.path.join(self.specsdir, "lumratio_file.dat")) + lum = np.loadtxt(os.path.join(self.extdir, "lumratio_file.dat")) lumratio = interp1d(lum[:, 0], lum[:, 1], kind="linear") - logger.info("Successfully loaded luminosity ratio file") except (FileNotFoundError, OSError) as e: logger.warning(f"Could not load luminosity ratio file: {e}. Using default value of 1.0") diff --git a/notebooks/Cosmology-Calculator-Symbolic-CF-Tests.ipynb b/notebooks/Cosmology-Calculator-Symbolic-CF-Tests.ipynb new file mode 100644 index 0000000..9407321 --- /dev/null +++ b/notebooks/Cosmology-Calculator-Symbolic-CF-Tests.ipynb @@ -0,0 +1,3773 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CosmicFish Pie v1.0 " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import os\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "snscolors=sns.color_palette(\"colorblind\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The value of OMP_NUM_THREADS is: None\n", + "The value of OMP_NUM_THREADS is: 8\n" + ] + } + ], + "source": [ + "envkey = 'OMP_NUM_THREADS'\n", + "# Set this environment variable to the number of available cores in your machine, \n", + "# to get a fast execution of the Einstein Boltzmann Solver\n", + "print(\"The value of {:s} is: \".format(envkey), os.environ.get(envkey))\n", + "os.environ[envkey] = str(8)\n", + "print(\"The value of {:s} is: \".format(envkey), os.environ.get(envkey))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "from cosmicfishpie.fishermatrix import cosmicfish\n", + "from cosmicfishpie.utilities.utils import printing as upr\n", + "import cosmicfishpie.configs.config as cfg" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "upr.debug = False" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CosmicFish as a cosmology calculator" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define input, options, fiducial and observables" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "fiducial = {\"Omegam\":0.3111,\n", + " \"Omegab\":0.04897,\n", + " \"h\":0.6766,\n", + " \"ns\":0.9665,\n", + " \"sigma8\":0.815584,\n", + " #\"As\" : 2.1098301595078886e-09,\n", + " \"w0\":-1.0,\n", + " \"wa\":0.,\n", + " \"mnu\":0.0,\n", + " #\"Neff\":3.044,\n", + " \"num_massive_neutrinos\" : 0,\n", + " \"num_nu_massive\": 0,\n", + " \"num_nu_massless\": 3.044,\n", + " \"tau\": 0.0561,\n", + " 'kmax': 10,\n", + " 'extrap_kmax': None\n", + " }\n", + "\n", + "options = {\n", + " 'accuracy': 1,\n", + " 'feedback': 1,\n", + " 'code' : '',\n", + " 'derivatives' : '3PT',\n", + " 'outroot': '',\n", + " 'survey_name': 'Euclid',\n", + " 'specs_dir' : '../cosmicfishpie/configs/default_survey_specifications/', \n", + " 'cosmo_model' : 'LCDM',\n", + " 'camb_config_yaml' : '../cosmicfishpie/configs/default_boltzmann_yaml_files/camb/default.yaml',\n", + " 'symbolic_config_yaml' : '../cosmicfishpie/configs/default_boltzmann_yaml_files/symbolic/default.yaml',\n", + " 'results_dir' : 'results_symb/'\n", + " }\n", + "freepars = {\n", + " 'Omegam':0.01,\n", + " 'Omegab':0.01,\n", + " 'h': 0.01,\n", + " 'ns': 0.01,\n", + " 'sigma8': 0.01\n", + " }" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Test" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "****************************************************************\n", + " _____ _ _____ __ \n", + " / ___/__ ___ __ _ (_)___/ __(_)__ / / \n", + " / /__/ _ \\(_- Survey loaded: Euclid-Spectroscopic-ISTF-Pessimistic\n", + "\n", + " -> Survey loaded: Euclid-Photometric-ISTF-Pessimistic\n", + "\n", + " -> Computing cosmology at the fiducial point\n", + "\n", + " ---> Cosmological functions obtained in: 0.14 s\n", + "\n", + "In class: FisherMatrix ----> Computing Pk-spectro Fisher matrix\n", + "Computing derivatives of Galaxy Clustering Spectro\n", + ">> Computing Derivs >>\n", + "\n", + " +++ Computing derivative on Omegam\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula 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+ " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "In class: derivatives Derivative on Omegam done! in : 0.33 s\n", + "\n", + " +++ Computing derivative on Omegab\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: 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"/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "In class: derivatives Derivative on Omegab done! in : 0.32 s\n", + "\n", + " +++ Computing derivative on h\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula 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"/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula 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"/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula 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using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "In class: derivatives Derivative on h done! in : 0.33 s\n", + "\n", + " +++ Computing derivative on ns\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "In class: derivatives Derivative on ns done! in : 0.33 s\n", + "\n", + " +++ Computing derivative on sigma8\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et 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"/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n", + "/home/santiago/CosmoProjects/symbolic_pofk/symbolic_pofk/linear.py:311: UserWarning: Not using Bartlett et al. formula outside tested regime\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "In class: derivatives Derivative on sigma8 done! in : 0.34 s\n", + "ððð Obtaining analytical derivative for parameter: Ps_1\n", + "ððð Obtaining analytical derivative for parameter: Ps_2\n", + "ððð Obtaining analytical derivative for parameter: Ps_3\n", + "ððð Obtaining analytical derivative for parameter: Ps_4\n", + "\n", + " +++ Computing derivative on lnbg_1\n", + "\n", + "In class: derivatives Derivative on lnbg_1 done! in : 0.05 s\n", + "\n", + " +++ Computing derivative on lnbg_2\n", + "\n", + "In class: derivatives Derivative on lnbg_2 done! in : 0.06 s\n", + "\n", + " +++ Computing derivative on lnbg_3\n", + "\n", + "In class: derivatives Derivative on lnbg_3 done! in : 0.06 s\n", + "\n", + " +++ Computing derivative on lnbg_4\n", + "\n", + "In class: derivatives Derivative on lnbg_4 done! in : 0.05 s\n", + "\n", + "In class: FisherMatrix Fisher Matrix shape: (4, 13, 13)\n", + "\n", + " Fisher matrix calculation finished in 2.09 s\n", + "\n", + " Fisher matrix exported: results_symb//CosmicFish_v1.2.0_LCDM_symbolic_GCsp_fishermatrix.txt\n", + "\n", + "\n", + "In class: FisherMatrix CosmicFish settings and Survey specifications exported: results_symb//CosmicFish_v1.2.0_LCDM_symbolic_GCsp_fishermatrix_specifications.dat\n" + ] + } + ], + "source": [ + "options['cosmo_model'] = 'LCDM'\n", + "options['code'] = 'symbolic'\n", + "options['outroot'] = options['cosmo_model']+'_'+options['code']\n", + "obses = [['GCsp']]\n", + "fish_symb = dict()\n", + "cosmo_symb = dict()\n", + "for obs in obses:\n", + " obstr = '-'.join(obs)\n", + " cosmo_symb[obstr] = cosmicfish.FisherMatrix(fiducialpars=fiducial,\n", + " options=options,\n", + " observables=obs,\n", + " freepars=freepars,\n", + " surveyName=options['survey_name'],\n", + " cosmoModel=options['cosmo_model'])\n", + " fish_symb[obstr] = cosmo_symb[obstr].compute()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "****************************************************************\n", + " _____ _ _____ __ \n", + " / ___/__ ___ __ _ (_)___/ __(_)__ / / \n", + " / /__/ _ \\(_- Survey loaded: Euclid-Spectroscopic-ISTF-Pessimistic\n", + "\n", + " -> Survey loaded: Euclid-Photometric-ISTF-Pessimistic\n", + "\n", + " -> Computing cosmology at the fiducial point\n", + "\n", + " ---> Cosmological functions obtained in: 1.98 s\n", + "\n", + "In class: FisherMatrix ----> Computing Pk-spectro Fisher matrix\n", + "Computing derivatives of Galaxy Clustering Spectro\n", + ">> Computing Derivs >>\n", + "\n", + " +++ Computing derivative on Omegam\n", + "\n", + "In class: derivatives Derivative on Omegam done! in : 5.33 s\n", + "\n", + " +++ Computing derivative on Omegab\n", + "\n", + "In class: derivatives Derivative on Omegab done! in : 5.34 s\n", + "\n", + " +++ Computing derivative on h\n", + "\n", + "In class: derivatives Derivative on h done! in : 5.34 s\n", + "\n", + " +++ Computing derivative on ns\n", + "\n", + "In class: derivatives Derivative on ns done! in : 5.36 s\n", + "\n", + " +++ Computing derivative on sigma8\n", + "\n", + "In class: derivatives Derivative on sigma8 done! in : 5.39 s\n", + "ððð Obtaining analytical derivative for parameter: Ps_1\n", + "ððð Obtaining analytical derivative for parameter: Ps_2\n", + "ððð Obtaining analytical derivative for parameter: Ps_3\n", + "ððð Obtaining analytical derivative for parameter: Ps_4\n", + "\n", + " +++ Computing derivative on lnbg_1\n", + "\n", + "In class: derivatives Derivative on lnbg_1 done! in : 0.11 s\n", + "\n", + " +++ Computing derivative on lnbg_2\n", + "\n", + "In class: derivatives Derivative on lnbg_2 done! in : 0.11 s\n", + "\n", + " +++ Computing derivative on lnbg_3\n", + "\n", + "In class: derivatives Derivative on lnbg_3 done! in : 0.11 s\n", + "\n", + " +++ Computing derivative on lnbg_4\n", + "\n", + "In class: derivatives Derivative on lnbg_4 done! in : 0.11 s\n", + "\n", + "In class: FisherMatrix Fisher Matrix shape: (4, 13, 13)\n", + "\n", + " Fisher matrix calculation finished in 27.50 s\n", + "\n", + " Fisher matrix exported: results_symb//CosmicFish_v1.2.0_LCDM_camb_GCsp_fishermatrix.txt\n", + "\n", + "\n", + "In class: FisherMatrix CosmicFish settings and Survey specifications exported: results_symb//CosmicFish_v1.2.0_LCDM_camb_GCsp_fishermatrix_specifications.dat\n" + ] + } + ], + "source": [ + "options['cosmo_model'] = 'LCDM'\n", + "options['code'] = 'camb'\n", + "options['outroot'] = options['cosmo_model']+'_'+options['code']\n", + "obses = [['GCsp']]\n", + "fish_camb = dict()\n", + "cosmo_camb = dict()\n", + "for obs in obses:\n", + " obstr = '-'.join(obs)\n", + " cosmo_camb[obstr] = cosmicfish.FisherMatrix(fiducialpars=fiducial,\n", + " options=options,\n", + " observables=obs,\n", + " freepars=freepars,\n", + " surveyName=options['survey_name'],\n", + " cosmoModel=options['cosmo_model'])\n", + " fish_camb[obstr] = cosmo_camb[obstr].compute()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'GCsp'" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "obb = obses[0][0]\n", + "obb" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{1: [0.9, 1.1], 2: [1.1, 1.3], 3: [1.3, 1.5], 4: [1.5, 1.8]}" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cfg.specs['z_bins_sp']" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "from cosmicfishpie.cosmology.nuisance import Nuisance\n", + "from cosmicfishpie.utilities.utils import numerics as unu\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'lnbg_1': 0.37944989, 'lnbg_2': 0.4738057, 'lnbg_3': 0.55760176, 'lnbg_4': 0.64125687}\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mInit signature:\u001b[0m\n", + "\u001b[0mNuisance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mconfiguration\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mspectrobiasparams\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mspectrononlinearpars\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mIMbiasparams\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m \n", + "\u001b[0;31mFile:\u001b[0m ~/CosmoProjects/cosmicfish_release/jellyfish/cosmicfishpie/cosmicfishpie/cosmology/nuisance.py\n", + "\u001b[0;31mType:\u001b[0m type\n", + "\u001b[0;31mSubclasses:\u001b[0m " + ] + } + ], + "source": [ + "nuis = Nuisance()\n", + "Nuisance?\n", + "print(nuis.Spectrobiasparams)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Comparison plots" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "thresh = 1e-10\n", + "zz = cosmo_symb[obb].fiducialcosmo.results.zgrid\n", + "kkk = 0.01\n", + "sobo_quant = np.clip(cosmo_symb[obb].fiducialcosmo.Hubble(zz), thresh, None)\n", + "camb_quant = np.clip(cosmo_camb[obb].fiducialcosmo.Hubble(zz), thresh, None)\n", + "quant = 'Hubble(z)'\n", + "x_axis = zz\n", + "\n", + "percentage_diff = (100*(sobo_quant - camb_quant)/camb_quant)\n", + "\n", + "fig = plt.figure(figsize=(10, 8))\n", + "\n", + "# First subplot: Angular Distance comparison (occupies most of the space)\n", + "ax1 = plt.subplot2grid((3, 1), (0, 0), rowspan=2) # 2/3 of height\n", + "ax1.plot(x_axis, sobo_quant, color='blue', marker='o', label='CF symb')\n", + "ax1.plot(x_axis, camb_quant, ls='--', color='red', label='CF camb')\n", + "#ax1.loglog(k, pk_camb, label='camb from ex.', color='green', ls='--')\n", + "#ax1.loglog(k, pk_prec, label='Max precision (Bartlett et al. 2023)', color=cmap(3), ls=':')\n", + "#ax1.set_xlabel('z_grid')\n", + "ax1.set_ylabel(quant)\n", + "ax1.set_title('Comparison of '+quant)\n", + "ax1.legend()\n", + "ax1.grid(True)\n", + "\n", + "# Second subplot: Percentage Difference (occupies less space)\n", + "ax2 = plt.subplot2grid((3, 1), (2, 0), rowspan=1) # 1/3 of height\n", + "ax2.plot(x_axis, percentage_diff, color='green', label='Percentage Difference')\n", + "ax2.set_xlabel('z_grid')\n", + "ax2.set_ylabel('% Difference')\n", + "ax2.set_ylim(-0.1,0.1)\n", + "ax2.grid(True)\n", + "\n", + "\n", + "# Adjust layout to prevent overlap\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "thresh = 1e-10\n", + "zz = cosmo_symb[obb].fiducialcosmo.results.zgrid\n", + "kkk = 0.01\n", + "sobo_quant = np.clip(cosmo_symb[obb].fiducialcosmo.Omegam_of_z(zz), thresh, None)\n", + "camb_quant = np.clip(cosmo_camb[obb].fiducialcosmo.Omegam_of_z(zz), thresh, None)\n", + "quant = 'Omegam(z)'\n", + "x_axis = zz\n", + "\n", + "percentage_diff = (100*(sobo_quant - camb_quant)/camb_quant)\n", + "\n", + "fig = plt.figure(figsize=(10, 8))\n", + "\n", + "# First subplot: Angular Distance comparison (occupies most of the space)\n", + "ax1 = plt.subplot2grid((3, 1), (0, 0), rowspan=2) # 2/3 of height\n", + "ax1.plot(x_axis, sobo_quant, color='blue', marker='o', label='CF symb')\n", + "ax1.plot(x_axis, camb_quant, ls='--', color='red', label='CF camb')\n", + "#ax1.loglog(k, pk_camb, label='camb from ex.', color='green', ls='--')\n", + "#ax1.loglog(k, pk_prec, label='Max precision (Bartlett et al. 2023)', color=cmap(3), ls=':')\n", + "#ax1.set_xlabel('z_grid')\n", + "ax1.set_ylabel(quant)\n", + "ax1.set_title('Comparison of '+quant)\n", + "ax1.legend()\n", + "ax1.grid(True)\n", + "\n", + "# Second subplot: Percentage Difference (occupies less space)\n", + "ax2 = plt.subplot2grid((3, 1), (2, 0), rowspan=1) # 1/3 of height\n", + "ax2.plot(x_axis, percentage_diff, color='green', label='Percentage Difference')\n", + "ax2.set_xlabel('z_grid')\n", + "ax2.set_ylabel('% Difference')\n", + "ax2.set_ylim(-0.1,0.1)\n", + "ax2.grid(True)\n", + "\n", + "\n", + "# Adjust layout to prevent overlap\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "thresh = 1e-10\n", + "zz = cosmo_symb[obb].fiducialcosmo.results.zgrid\n", + "kkk = 0.01\n", + "sobo_quant = np.clip(cosmo_symb[obb].fiducialcosmo.comoving(zz), thresh, None)\n", + "camb_quant = np.clip(cosmo_camb[obb].fiducialcosmo.comoving(zz), thresh, None)\n", + "quant = 'Comoving dist. r(z)' \n", + "x_axis = zz\n", + "\n", + "percentage_diff = (100*(sobo_quant - camb_quant)/camb_quant)\n", + "\n", + "fig = plt.figure(figsize=(10, 8))\n", + "\n", + "# First subplot: Angular Distance comparison (occupies most of the space)\n", + "ax1 = plt.subplot2grid((3, 1), (0, 0), rowspan=2) # 2/3 of height\n", + "ax1.plot(x_axis, sobo_quant, color='blue', marker='o', label='CF symb')\n", + "ax1.plot(x_axis, camb_quant, ls='--', color='red', label='CF camb')\n", + "#ax1.loglog(k, pk_camb, label='camb from ex.', color='green', ls='--')\n", + "#ax1.loglog(k, pk_prec, label='Max precision (Bartlett et al. 2023)', color=cmap(3), ls=':')\n", + "#ax1.set_xlabel('z_grid')\n", + "ax1.set_ylabel(quant)\n", + "ax1.set_title('Comparison of '+quant)\n", + "ax1.legend()\n", + "ax1.grid(True)\n", + "\n", + "# Second subplot: Percentage Difference (occupies less space)\n", + "ax2 = plt.subplot2grid((3, 1), (2, 0), rowspan=1) # 1/3 of height\n", + "ax2.plot(x_axis, percentage_diff, color='green', label='Percentage Difference')\n", + "ax2.set_xlabel('z_grid')\n", + "ax2.set_ylabel('% Difference')\n", + "ax2.set_ylim(-0.01,0.01)\n", + "ax2.grid(True)\n", + "\n", + "\n", + "# Adjust layout to prevent overlap\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "thresh = 1e-10\n", + "zz = cosmo_symb[obb].fiducialcosmo.results.zgrid\n", + "kkk = 0.01\n", + "sobo_quant = np.clip(cosmo_symb[obb].fiducialcosmo.angdist(zz), thresh, None)\n", + "camb_quant = np.clip(cosmo_camb[obb].fiducialcosmo.angdist(zz), thresh, None)\n", + "quant = 'Angular dist. D_A(z)' \n", + "x_axis = zz\n", + "\n", + "percentage_diff = (100*(sobo_quant - camb_quant)/camb_quant)\n", + "\n", + "fig = plt.figure(figsize=(10, 8))\n", + "\n", + "# First subplot: Angular Distance comparison (occupies most of the space)\n", + "ax1 = plt.subplot2grid((3, 1), (0, 0), rowspan=2) # 2/3 of height\n", + "ax1.plot(x_axis, sobo_quant, color='blue', marker='o', label='CF symb')\n", + "ax1.plot(x_axis, camb_quant, ls='--', color='red', label='CF camb')\n", + "#ax1.loglog(k, pk_camb, label='camb from ex.', color='green', ls='--')\n", + "#ax1.loglog(k, pk_prec, label='Max precision (Bartlett et al. 2023)', color=cmap(3), ls=':')\n", + "#ax1.set_xlabel('z_grid')\n", + "ax1.set_ylabel(quant)\n", + "ax1.set_title('Comparison of '+quant)\n", + "ax1.legend()\n", + "ax1.grid(True)\n", + "\n", + "# Second subplot: Percentage Difference (occupies less space)\n", + "ax2 = plt.subplot2grid((3, 1), (2, 0), rowspan=1) # 1/3 of height\n", + "ax2.plot(x_axis, percentage_diff, color='green', label='Percentage Difference')\n", + "ax2.set_xlabel('z_grid')\n", + "ax2.set_ylabel('% Difference')\n", + "ax2.set_ylim(-0.1,0.1)\n", + "ax2.grid(True)\n", + "\n", + "\n", + "# Adjust layout to prevent overlap\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "thresh = 1e-10\n", + "zz = cosmo_symb[obb].fiducialcosmo.results.zgrid\n", + "kkk = 0.01\n", + "sobo_quant = np.clip(cosmo_symb[obb].fiducialcosmo.f_growthrate(zz), thresh, None)\n", + "camb_quant = np.clip(cosmo_camb[obb].fiducialcosmo.f_growthrate(zz), thresh, None)\n", + "quant = 'Growth rate f(z)'\n", + "x_axis = zz\n", + "\n", + "percentage_diff = (100*(sobo_quant - camb_quant)/camb_quant)\n", + "\n", + "fig = plt.figure(figsize=(10, 8))\n", + "\n", + "# First subplot: Angular Distance comparison (occupies most of the space)\n", + "ax1 = plt.subplot2grid((3, 1), (0, 0), rowspan=2) # 2/3 of height\n", + "ax1.plot(x_axis, sobo_quant, color='blue', marker='o', label='CF symb')\n", + "ax1.plot(x_axis, camb_quant, ls='--', color='red', label='CF camb')\n", + "#ax1.loglog(k, pk_camb, label='camb from ex.', color='green', ls='--')\n", + "#ax1.loglog(k, pk_prec, label='Max precision (Bartlett et al. 2023)', color=cmap(3), ls=':')\n", + "#ax1.set_xlabel('z_grid')\n", + "ax1.set_ylabel(quant)\n", + "ax1.set_title('Comparison of '+quant)\n", + "ax1.legend()\n", + "ax1.grid(True)\n", + "\n", + "# Second subplot: Percentage Difference (occupies less space)\n", + "ax2 = plt.subplot2grid((3, 1), (2, 0), rowspan=1) # 1/3 of height\n", + "ax2.plot(x_axis, percentage_diff, color='green', label='Percentage Difference')\n", + "ax2.set_xlabel('z_grid')\n", + "ax2.set_ylabel('% Difference')\n", + "#ax2.set_ylim(-1,1)\n", + "ax2.grid(True)\n", + "\n", + "\n", + "# Adjust layout to prevent overlap\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "thresh = 1e-10\n", + "zz = cosmo_symb[obb].fiducialcosmo.results.zgrid\n", + "kkk = 0.01\n", + "sobo_quant = np.clip(cosmo_symb[obb].fiducialcosmo.growth(zz), thresh, None)\n", + "camb_quant = np.clip(cosmo_camb[obb].fiducialcosmo.growth(zz), thresh, None)\n", + "quant = 'Growth D(z, k=0.01)'\n", + "x_axis = zz\n", + "\n", + "percentage_diff = (100*(sobo_quant - camb_quant)/camb_quant)\n", + "\n", + "fig = plt.figure(figsize=(10, 8))\n", + "\n", + "# First subplot: Angular Distance comparison (occupies most of the space)\n", + "ax1 = plt.subplot2grid((3, 1), (0, 0), rowspan=2) # 2/3 of height\n", + "ax1.plot(x_axis, sobo_quant, color='blue', marker='o', label='CF symb')\n", + "ax1.plot(x_axis, camb_quant, ls='--', color='red', label='CF camb')\n", + "ax1.set_ylabel(quant)\n", + "ax1.set_title('Comparison of '+quant)\n", + "ax1.legend()\n", + "ax1.grid(True)\n", + "\n", + "# Second subplot: Percentage Difference (occupies less space)\n", + "ax2 = plt.subplot2grid((3, 1), (2, 0), rowspan=1) # 1/3 of height\n", + "ax2.plot(x_axis, percentage_diff, color='green', label='Percentage Difference')\n", + "ax2.set_xlabel('z_grid')\n", + "ax2.set_ylabel('% Difference')\n", + "#ax2.set_ylim(-1,1)\n", + "ax2.grid(True)\n", + "\n", + "\n", + "# Adjust layout to prevent overlap\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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iIiIiIiKSTRR0i4iIiIiIiGQT7ekWERERERHJIUlJSSQkJOT2MPK8hIQEChUqxLVr10hKSsqVMbi6umI2m2/7Ogq6RUREREREsplhGJw4cYILFy7k9lCcgmEYVKhQgcjIyAwTlWWnkiVLUqFChdsag4JuERERERGRbGYNuMuVK4eHh0euBpLOIDk5mcuXL1OsWDFcXHJ+V7RhGMTGxnLq1CkAvL29b/laCrpFRERERESyUVJSki3gLlOmTG4PxykkJycTHx9P4cKFcyXoBihSpAgAp06doly5cre81FyJ1ERERERERLKRdQ+3h4dHLo9Ebpb13+x29uEr6BYREREREckBWlLufLLi30xBt4iIiIiIiEg2UdAtIiIiIiIi+V7r1q0ZNmxYjt9XQbeIiIiIiIiTSEqCdetgwQLLa06UsD5x4gTPPfcclStXxt3dHT8/Pzp16sSaNWtsffz9/TGZTHZfvr6+2T84J6Ds5SIiIiIiIk5gyRIICYFjx663+frC1KkQFJQ994yIiKBFixaULFmSiRMncs8995CQkMDKlSsZMmQIe/futfV98803GTRokO39rWb7zm800+3kkpJg/XoTv/ziw/r1phz5S5eIiIiIiOSsJUsgONg+4AaIirK0L1mSPfcdPHgwJpOJbdu20a1bN6pVq0atWrUIDQ1ly5Ytdn2LFy9OhQoVbF9ly5ZN87rr1q2jSZMmFC1alJIlS9KiRQuOHDlCREQELi4u/Pbbb3b9p0yZQqVKlUhOTmbdunWYTCZWrlxJ/fr1KVKkCPfffz+nTp3ixx9/pEaNGnh6etK7d29iY2PtrpOYmMjQoUMpUaIEXl5evP766xiGkXU/MAcUdDuxJUvA3x/atStEWFgj2rUrhL9/9v0PTkREREREsoZhwJUrmfuKiYHnn7ec4+g6YJkBj4nJ3PUyG2OeO3eOFStWMGTIEIoWLZrqeMmSJW/psycmJtKlSxdatWrFn3/+yebNm3nqqacwmUz4+/vTtm1b5s6da3fOnDlz6N+/v13N7jFjxvDhhx+yadMmIiMj6dGjB1OmTGH+/PksW7aMVatW8cEHH9hdZ968eRQqVIht27YxdepUwsLC+OSTT27pc2SWgm4nlVt/6RIRERERkdsXGwvFimXuq0QJy3/np8UwLHFBiRKZu94Nk79pOnDgAIZhUL169Uz1HzlyJMWKFbN9TZs2zWG/mJgYLl68SMeOHbnrrruoUaMG/fr144477gBg4MCBLFy4kLi4OAB27tzJ7t27GTBggN11xo0bR4sWLahfvz5PPvkk69evZ+bMmdSvX5+AgACCg4NZu3at3Tl+fn5MnjyZu+++mz59+vDcc88xefLkzP1AbpGCbieUlGT5S1Z6f+kaNixnkiqIiIiIiEj+dLPLrl988UV27dpl++rbt6/DfqVLl6Z///4EBgbSqVMnpk6dSnR0tO14ly5dMJvN/PDDDwDMnTuXNm3a4O/vb3edOnXq2L4vX748Hh4eVK5c2a7t1KlTduc0a9bMrvZ28+bN2b9/P0nZGDwp6HZCGzaknuGuyd+U5DxgCbwjIy39REREREQk7/HwgMuXM/e1fHnmrrl8eeau5+GRuetVrVoVk8lklywtPV5eXlSpUsX2ld7y8zlz5rB582buvfdeFi1aRLVq1Wx7xN3c3Hj88ceZP38+8fHxzJ8/nyeeeCLVNVxdXW3fm0wmu/fWtuTk5EyNPTsp6HZCKf4IBEAr1rGJe/mGrrgRl2Y/ERERERHJG0wmKFo0c1/t21uylKeYoE11LT8/S7/MXC+t69yodOnSBAYGMn36dK5cuZLq+IULF279BwDUr1+fUaNGsWnTJmrXrs38+fNtx5588knWrVvHzJkzSUxMJCiL0rNv3brV7v2WLVuoWrVqtmZaV9DthLy97d+fozQArVnPHAZgItlhPxERERERcT5ms6UsGKQOmK3vp0yx9Mtq06dPJykpiSZNmvD111+zf/9+/vnnH6ZNm0bz5s1v6ZqHDx9m1KhRbN68mSNHjrBq1Sr2799PjRo1bH1q1KhBo0aNePnll+nVqxdFihTJks9z9OhRQkND2bdvHwsWLOCDDz4gJCQkS66dFtXpdkIBAZa/dEVFWZaS76YO3fiaH+lAbxZwhErM8J1AQEBuj1RERERERLJCUBCEhzuu0z1lSvbV6a5cuTI7d+5k/PjxjBgxgujoaMqWLUvDhg2ZOXPmLV3Tw8ODvXv3Mm/ePM6ePYu3tzdDhgzh6aeftuv3+OOPs23bNodLy29V3759uXr1Kk2aNMFsNhMSEsJTTz2VZdd3REG3E7L+pSs42PKXLcOANbRlIJ8wj/6M4h3ci1TCxeWZ3B6qiIiIiIhkkaAg6NzZkrspOtqysjUgIHtmuFPy9vbmww8/5MMPP0yzT0RERKavV758eb755psM+0VHR3PPPffQuHFju/bWrVunSvLWv39/+vfvb9c2ZswYxowZY3u/bt062/e3+geDW6Hl5U7K+pcuH5/rbf+jH+94jAUgZP8QFvT5gaQkWLcOFiywvCqjuYiIiIiI8zKboXVr6NXL8prdAXduuHz5Mn/99Rcff/wxQ4YMye3h3DYF3U4sKAgiImD16kRCQ39j9epEXrz4OvtaPIGZZIou+JiyZaFNG+jd2/Lq768a3iIiIiIikncNHTqUxo0b07JlyyxdWp5bFHQ7ObMZWrUyuO++KFq1MjAXMnH32lnMvWcS3VnM+fP2/aOiLMvSFXiLiIiIiEheNHfuXK5evcpnn32WrVnFc4rTBd3Tp0/H39+fwoUL07RpU7Zt25Zu/ylTpnD33XdTpEgR/Pz8GD58ONeuXcuh0eaOJBdXXj8fSgJu/7UYFOaq5bv/tj4MG6al5iIiIiIiItnNqYLuRYsWERoayujRo9m5cyd169YlMDCQU6dOOew/f/58Xn75ZUaPHs0///zDp59+yqJFi3jllVdyeOQ5a8OG6xkNXUhiKiGsoj3uWP7YYBgQGWnpJyIiIiIiItnHqYLusLAwBg0axIABA6hZsyazZs3Cw8ODzz77zGH/TZs20aJFC3r37o2/vz/t27enV69eGc6OO7vo6OvfV+II/ZhHABv5H31tNbxv7CciIiIiIiJZz2mC7vj4eHbs2EHbtm1tbS4uLrRt25bNmzc7POfee+9lx44dtiD70KFDLF++nIceeihHxpxbvL2vf3+YynTlG+JxpQeLeZ8XHPYTERERERGRrOc0dbrPnDlDUlIS5cuXt2svX748e/fudXhO7969OXPmDC1btsQwDBITE3nmmWfSXV4eFxdHXFyc7X1MTAwACQkJJCQkZMEnyXrWcVlfmzUDH59CHD8OhmFiLffTn7nMpw+hTOYYPiz2DaVZs0Ty6EeSbHDjcyJyIz0jkhE9I5IZek4kIwXxGUlISMAwDJKTk0lOTs74BLHV4bb+3HJLcnIyhmGQkJCQKqlbZp9hpwm6b8W6det4++23mTFjBk2bNuXAgQOEhITw1ltv8frrrzs8Z8KECYwdOzZV+6pVq/Dw8MjuId+W1atX275/7DFv3n23MWAAJhbQGx+imMhLhPECRdw9WLmyYq6NVXJPyudExBE9I5IRPSOSGXpOJCMF6RkpVKgQFSpU4PLly8THx+f2cJzKpUuXcvX+8fHxXL16lV9++YXExES7Y7GxsZm6hsmw/gkhj4uPj8fDw4Pw8HC6dOlia+/Xrx8XLlxg6dKlqc4JCAigWbNmTJw40db2xRdf8NRTT3H58mVcXFKvrnc00+3n58eZM2fw9PTM2g+VRRISEli9ejXt2rXD1dXV1v7NNyZCQ81ERZn+azGY7f48T8V9SCxF+HzMfp54pVzuDFpyXFrPiYiVnhHJiJ4RyQw9J5KRgviMXLt2jcjISFsVJsmYYRhcunSJ4sWLYzKZMj4hkypXrkxISAghISGZ6n/t2jUiIiLw8/NL9W8XExODl5cXFy9eTDdWdJqZbjc3Nxo2bMiaNWtsQXdycjJr1qxh6NChDs+JjY1NFVhblwSk9bcGd3d33N3dU7W7urrm+V8KN46xRw/o1s2SpTw6Gry9TQTcO4W/ml7g9V1BLB3rg1dt6NIlZR8ICLDU/5b8yRmeZcldekYkI3pGJDP0nEhGCtIzkpSUhMlkwsXFxeHEX1534sQJxo8fz7Jly4iKiqJcuXLUq1ePYcOG8cADDwDg7+/PkSNH7M7z8fHhmLWs0k2yLim3/tyy0s1c08XFBZPJ5PB5zezz6zRBN0BoaCj9+vWjUaNGNGnShClTpnDlyhUGDBgAQN++ffHx8WHChAkAdOrUibCwMOrXr29bXv7666/TqVOnfFFkPTPMZmjd2q6FWjs/x3sIGDPh0UehVCk4ffp6D19fmDoVgoJyeLAiIiIiIpKnRERE0KJFC0qWLMnEiRO55557SEhIYOXKlQwZMsQuv9abb77JoEGDbO8LSsyVEaf6M0vPnj15//33eeONN6hXrx67du1ixYoVtuRqR48eJTpFHazXXnuNESNG8Nprr1GzZk2efPJJAgMDmT17dm59hDzBZIIPPoDGjaFi4hE+PN0DTy7ajkdFQXAwLFmSi4MUEREREZFcN3jwYEwmE9u2baNbt25Uq1aNWrVqERoaypYtW+z6Fi9enAoVKti+ypYtm+61P/vsM2rVqoW7uzve3t52K5gnT57MvffeS/HixfHz82Pw4MFcvnzZdnzu3LmULFmSH374gbvvvhsPDw+Cg4OJjY1l3rx5+Pv7U6pUKZ5//nmSkpLs7nvp0iV69epF0aJF8fHxYfr06Vnwk0qbU810AwwdOjTN5eTr1q2ze1+oUCFGjx7N6NGjc2Bkzud4lMG3dKMRO/DiDB34kXjcMQxLYD5sGHTurKXmIiIiIiLZ5sqVtI+ZzZByH3F6fV1coEiRjPsWLZrpoZ07d44VK1Ywfvx4ijo4r2TJkpm+1o1mzpxJaGgo77zzDh06dODixYv8+uuvtuMuLi68++671KpVi4iICAYPHsxLL73EjBkzbH1iY2OZNm0aCxcu5NKlSwQFBdG1a1dKlizJ8uXLOXToEN26daNFixb07NnTdt7EiRN55ZVXGDt2LCtXriQkJIRq1arRrl27W/486XGqmW7JOhs2QNRxEwP5hEsU437WMpf+mLDsnTAMiIy09BMRERERkWxSrFjaX9262fctVy7tvh062Pf193fc7yYcOHAAwzCoXr16pvqPHDmSYsWK2b6mTZuWZt9x48YxYsQIW8DbuHFjhg0bZjseEhJCQEAA/v7+3H///YwbN46vvvrK7hoJCQnMnDmT+vXrc9999xEcHMzGjRv59NNPqVmzJh07dqRNmzasXbvW7rwWLVrw8ssvU61aNZ577jmCg4OZPHly5n8wN8npZrola1hX4f9BPYJYwnIeohcLOU5FXmBSqn4iIiIiIlKw3GyhqxdffJH+/fvb3nt5eTnsd+rUKY4fP25LwubITz/9xPjx4zlw4AAxMTEkJiZy7do1YmNjbaWcPTw8uOuuu2znlC9fHn9/f4ql+ONC+fLlOXXqlN21mzdvnur9lClTMvsxb5qC7gLK2/v69z/RjgHM4QseZwRhHKciYYxI1U9ERERERLJYin3Kqdy4z/OG4NHOjdm4IyJueUhWVatWxWQy2SVLS4+XlxdVqlTJsF+RlMvgHYiIiOCRRx7hiSeeYMKECXh5ebFx40aefPJJWylpSJ093Jpl/MY2ayb03KLl5QVUQIAlS7m15N2XPMYLWOqZT+IFuhGOn5+ln4iIiIiIZJOiRdP+urGmd3p9bwxk0+p3E0qXLk1gYCDTp0/nioM94hcuXLjJD2tRvHhx/P39WbNmjcPjO3bsIDk5mXHjxtGsWTOqVavG8ePHb+lejtyYAG7Lli3UqFEjy65/IwXdBZTZbCkLBtcD70mMIIzh/E49NtKSVq2URE1EREREpCCbPn06SUlJNGnShK+//pr9+/fzzz//MG3atFTLtG/GmDFjmDRpEtOmTWP//v3s3LmTDz74AIAqVaqQkJDARx99xKFDh/j888+ZNWtWVn0kfv31V9577z3+/fdfpk+fzuLFiwkJCcmy699IQXcBFhQE4eHg42NtMfEC79OpxAZOUoEvvoB58yApCdatgwULLK83ZNwXEREREZF8qnLlyuzcuZM2bdowYsQIateuTbt27VizZg0zZ8685ev269ePKVOmMGPGDGrVqkXHjh3Zv38/AHXr1mXSpElMnTqVOnXq8OWXXzJhwoSs+kiMGDGC3377jfr16zNu3DjCwsIIDAzMsuvfyGTc7O74AiYmJoYSJUpw8eJFPD09c3s4DiUkJLB8+XIeeuihVHsYMiMpyZKlPDrasoc7IABGjYKJE6G3aQH7SzZm+/nrezN8fS2z5EFBWfkpJLvd7nMi+Z+eEcmInhHJDD0nkpGC+Ixcu3aNw4cPc+edd1L4xiXj4lBycjIxMTF4enricuN+9RyU3r9dZmNFJVITzGZo3dq+7Z13oOTSebzyb38OnL+LFvzKKcoDEBUFwcGWWXIF3iIiIiIiImnT8nJxyDBgcUwgh7iTKhxkGQ9TjEu2YwDDhmmpuYiIiIiISHoUdItDGzbArhMVCGQlp/GiETv4mm64Eg9YAu/ISEs/ERERERERcUxBtzgUHW15PUBVHmI5V/CgPauZS39MJKfqJyIiIiIiIqkp6BaHvL2vf/8bjQliCQkUojcLmMxwwEjVT0REREREROwp6BaHAgIsWcqtNbxXEUg/5pGMiYuUACzHAwJycZAiIiIiIk4kOTk5406Sp2TFv5myl4tDZrOlLFhwsCXwNgxYQG/+oja7qQPA3XdDLmbvFxERERFxCm5ubri4uHD8+HHKli2Lm5sbJuvsljiUnJxMfHw8165dy5WSYYZhEB8fz+nTp3FxccHNze2Wr6WgW9IUFGQpCxYSAseOWdp2UwcvLzh7FjatieXjfjt5ck7LVHW+zebcHbuIiIiISF7h4uLCnXfeSXR0NMePH8/t4TgFwzC4evUqRYoUydU/UHh4eHDHHXfcVuCvoFvSFRQEnTuTKqj+YkYMVZ7vQMPPd/DINytZfrmV7RxfX8ssuWp4i4iIiIhYuLm5cccdd5CYmEiS6u5mKCEhgV9++YX77rsPV1fXXBmD2WymUKFCtx30K+iWDJnN0Lq1fVu/Zz3Y/l45Ch+LY/7lR2jFev6gHgBRUZZl6eHhCrxFRERERKxMJhOurq65FkQ6E7PZTGJiIoULF3b6n5d25MotSTIVopexgPXcRwliWMGD3MkhwLL/G2DYMNAf8UREREREpCBT0C23ZMMGOBhVmEf4jl3UpQInWUV7ynMCsATekZGWfiIiIiIiIgWVgm65JdHRltcYStCBHznEnVThICt4kBJcSNVPRERERESkIFLQLbfE2/v69yfwpj2rOEF5fIjCj0iH/URERERERAoaJVKTWxIQYMlSHhVlWUp+kCoEspI43NlHdQAqVrT0ExERERERKag00y23xGy2lAUDsGbQ/5O6toAboBr/culici6MTkREREREJG9Q0C23LCjIUhbMx8e+3dsbOnus5vvjDVhTO4TYKwZJSbBuHSxYYHlVVnMRERERESkItLxcbktQEHTubMlSHh1tCbgDAiDq/TN4vBxLt+gPmV2lDG+ZxxAVdf08X1/LTLnqeIuIiIiISH6moFtum9kMrVvbt90xshcHT57jrslDefrEWP6mNB/wvO14VBQEB1tmyhV4i4iIiIhIfqXl5ZJt/CcO4R2PsQBMI4Q+fGE7ZhiW12HDtNRcRERERETyLwXdkm02bIBRsa8z9b8Z7rn0pyPf244bBkRGWvqJiIiIiIjkRwq6JdtERwOYGM5kPucxCpHEYylmu+37iYiIiIiI5D/a0y3Zxtvb8mrgwhN8xm80YgaD0+wnIiIiIiKS32imW7JNQIAlS7nJBIm4Mo0QEnH976iBN8fx87P0ExERERERyY8UdEu2MZstZcHAEnhbuZDELJ5hJw0IefgAZnPujE9ERERERCS7KeiWbBUUZCkL5uNzva0oV2hh2kwFThI8qy2bFx8jKQnWrYMFCyyvymguIiIiIiL5gfZ0S7YLCoLOnS1ZyqOjwdvbkyr+qzheK4BKsQe42rMd95T5hX/OlLWd4+trmSVXDW8REREREXFmmumWHGE2Q+vW0KuX5bWwfwVK7/yJaFc/qht7+eJMICW4YOsfFQXBwbBkSW6NWERERERE5PYp6JZc41qlEj1LreYUZWnA7/xARzy4AlhqeAMMG6al5iIiIiIi4rwUdEuu2bABNpy6m/as4gIlaMYWmrPZdtwwIDLS0k9ERERERMQZaU+35JroaMvrH9SjAz9SltOsoW2a/URERERERJyNgm7JNd7e17/fQnO7Y16c5hylScZs109ERERERMSZaHm55JqAAEuW8pQ1vAH8OcxWmjKbp/GtmExAQO6MT0RERERE5HYp6JZcYzZbyoKBfeBdhz+pxBEG8ilvXx3GtatG7gxQRERERETkNinollwVFATh4eDjc73tOzozzHMOAI+f/4Dva4/iymWDdetgwQJYt04ZzUVERERExDloT7fkuqAg6NzZkqU8Otqy1zsgoC+HRsVSeeKzPHrkXcaWKsqYxNdt5/j6WmbJg4JyceAiIiIiIiIZ0Ey35AlmM7RuDb16WV7NZqj83jOsbD8JgNGJbzCcMFv/qCgIDoYlS3JnvCIiIiIiIpmhoFvyrKQkGLgnlNd5E4An+ZTCXAUsNbwBhg3TUnMREREREcm7tLxc8qwNG+DYMRjHa5ynFIvoyTWK2I4bBkRGWvq1bp174xQREREREUmLZrolz4qOtn5nYjpDOUNZ27E7OOKgn4iIiIiISN6ioFvyLG9vx+1P8gn7qUo3wtPtJyIiIiIiktsUdEueFRBgyVKesoY3GDRnM24ksIBePFpkKQEBuTVCERERERGR9CnoljzLbLaUBYOUgbeJp/iIL+iDK4nMu9qdr/ovBywJ1VTLW0RERERE8hIF3ZKnBQVBeDj4+FxvS8bM675z2VapO24k0PWLIN5tuxp/f2jTBnr3trz6+6ukmIiIiIiI5C4F3ZLnBQVBRASsXQvz51teD0QUosn+L9lXozOFieO5NZ2569g6u/NUy1tERERERHKbgm5xCmazpSxYr16WV7MZcHWlym+LWGl+CA+u0oa1dueolreIiIiIiOQ2Bd3i1DZsc6dz0tf0Yy5jGJPqeMpa3iIiIiIiIjlNQbc4tehoiKMw/6MfYMm2Vpir1OKvVP1ERERERERymoJucWo31uguQizf8QgbaUlDfkuzn4iIiIiISE5Q0C1O7cZa3i4kU5hrlOQiq2lHA3bg54dqeYuIiIiISK5Q0C1O7cZa3lcoxkMs51fupRQXWE07nmux05J4TUREREREJIcp6Band2Mt78sUpwM/ssWlOaU5z5ML2/Lj27+TlATr1sGCBZZXZTQXEREREZHspqBb8oUba3l/t9aThqdWcLBcM0pzniavtqVN6T9o0wZ694Y2bcDfXzW8RUREREQkexXK7QGIZBVrLe/rPLlz7wr+8Q/EO2Yv12Li7PpHRUFwsGWWPCgoJ0cqIiIiIiIFhWa6JV8zPEvQrdhKWrGe7TSxP2ZYXocN01JzERERERHJHgq6JV/bsAH+OV6CP6lra2vMNu7hT8ASeEdGWvqJiIiIiIhkNacLuqdPn46/vz+FCxemadOmbNu2Lc2+rVu3xmQypfp6+OGHc3DEkpuio+3f12UXq2nHz9xPHf5Is5+IiIiIiEhWcKqge9GiRYSGhjJ69Gh27txJ3bp1CQwM5NSpUw77L1myhOjoaNvXX3/9hdlspnv37jk8cskt3t727yPwZx9348VZfuZ+6vG7w34iIiIiIiJZwamC7rCwMAYNGsSAAQOoWbMms2bNwsPDg88++8xh/9KlS1OhQgXb1+rVq/Hw8FDQXYAEBICvr6WGN8BFStKO1WyhKWU4xxoeoI3nDgICcnecIiIiIiKSPzlN0B0fH8+OHTto27atrc3FxYW2bduyefPmTF3j008/5dFHH6Vo0aLZNUzJY8xmmDrV8r018I6hBO1ZxSYsdby/jmnLj29uVx1vERERERHJck5TMuzMmTMkJSVRvnx5u/by5cuzd+/eDM/ftm0bf/31F59++mm6/eLi4oiLu15aKiYmBoCEhAQSEhJuYeTZzzquvDq+3NapEyxcaCI01ExUlCXyvoQnT1RcQXhsB2pf2ETLN9tx35QNbIq5x3aej49BWFgSXbsauTX0LKXnRDKiZ0QyomdEMkPPiWREz4hkhjM8J5kdm8kwDKeIKI4fP46Pjw+bNm2iefPmtvaXXnqJ9evXs3Xr1nTPf/rpp9m8eTN//vlnuv3GjBnD2LFjU7XPnz8fDw+PWxu85AlJSbBnTxnOny9MqVLXqFnzLG5xV6n41BROXy5BZ5YSR+EUZ1j+pzFy5HaaN1emNRERERERuS42NpbevXtz8eJFPD090+znNEF3fHw8Hh4ehIeH06VLF1t7v379uHDhAkuXLk3z3CtXrlCxYkXefPNNQkJC0r2Po5luPz8/zpw5k+4PMjclJCSwevVq2rVrh6ura24Px6kkJUGdyteIjDZzjdR/VDGZDHx8YP/+RMzmXBhgFtJzIhnRMyIZ0TMimaHnRDKiZ0Qywxmek5iYGLy8vDIMup1mebmbmxsNGzZkzZo1tqA7OTmZNWvWMHTo0HTPXbx4MXFxcTz22GMZ3sfd3R13d/dU7a6urnn2H9vKGcaY1/z6K+yPTvkzMxjLaH6iLRu4D8MwcewYbNniSuvWuTXKrKXnRDKiZ0QyomdEMkPPiWREz4hkRl5+TjI7LqdJpAYQGhrKxx9/zLx58/jnn3949tlnuXLlCgMGDACgb9++jBo1KtV5n376KV26dKFMmTI5PWTJ426szz2AObzBW6zgQR7gpzT7iYiIiIiIZIbTzHQD9OzZk9OnT/PGG29w4sQJ6tWrx4oVK2zJ1Y4ePYqLi/3fEfbt28fGjRtZtWpVbgxZ8rgb63MvoBfdWUwHVvADHQliCT/ykOp4i4iIiIjILXGqoBtg6NChaS4nX7duXaq2u+++GyfZti65wFrHOyoKDAOuUYQufMtX9KAz3/EtXehXZDEtW3bO7aGKiIiIiIgTcqrl5SJZzVEd73jcCSacr+iOGwn872owi7p9hWGgWt4iIiIiInJTFHRLgRcUBOHh4ONzvS0RV0b6zmfzXY/hSiLdv3uMJx44gr8/tGkDvXtbXv39YcmS3Bq5iIiIiIjkdU63vFwkOwQFQefOsGGDJWmatzcEBBTCzFz+aV2E9zc2Ze7aSqnOi4qC4GBL0B4UlAsDFxERERGRPE1Bt8h/zGYclAUzU23dR3xTFjhvaSnMVa5RBLDsAzeZYNgwS9Du7LW8RUREREQka2l5uUgGNmyA8/8F3GU5xQ4aEsok23HDgMhISz8REREREZGUFHSLZCBlje4efEVN/mESL/AGYwHDYT8RERERERFQ0C2SoZQ1uqczhFcZB8BYxjCRF7EG3qrlLSIiIiIiN1LQLZIBay1vS0kxE2/zKiFMAeAFJjGTZ/GtmExAQG6OUkRERERE8iIF3SIZcFTLexohPMGnJGPiGWbzQUxfzp9OVB1vERERERGxo6BbJBMc1fKewxM8W2IBCRTinsubadvgHH5+quMtIiIiIiLXKegWyaSgIIiIgLVrYf58y+uMsz058dH3dCuxhj+iy6VKpmat463AW0RERESkYFLQLXITrLW8e/WyvJrNUPGJBzlZxN/WJ5AVeHIRsJQTA0sdby01FxEREREpeBR0i9ymDRvgxAnL94+wlB/oyBoeoAxnANXxFhEREREpyBR0i9ymlEvKI/HjPKVoxA42EIAPxxz2ExERERGRgkFBt8htSlmf+3cacB+/EIkvNdjLr7SgCvtT9RMRERERkYJBQbfIbbKv4w17qUFLNvIvVanEUTbSklYldqmOt4iIiIhIAaSgW+Q2OarjfZRKtGQjv1OP8pxi6cVWfPXuYdXxFhEREREpYBR0i2QBR3W8T1OOPhXXsbtkAAvoRe9X/SlTRnW8RUREREQKEgXdIlnEUR3v3UdLUDtqJWu6TgdMXLwIYNjOUR1vEREREZH8TUG3SBZyVMc72b0IW7abAShEAt/ShaeZBaiOt4iIiIhIfqegWySbbdgAx/6rHNaLBXTmO2bxLK8wHjBUx1tEREREJB9T0C2SzVLW5/6cx3mL1wAYz2tMJQQTyan6iYiIiIhI/qCgWySb2dfnNvEGb/Ec0wB4ng/4kj64Eq863iIiIiIi+VCh3B6ASH5nreMdFXV9D/eHPMcZvJhHP3qxEC/O4lvia6A4SUmWpebR0ZaAPSDAsjdcREREREScj2a6RbKZozreAAvpRSd+4DJFac4mnm57kEmTLGXEVFZMRERERCR/UNAtkgMc1fEG+MevPWte+ZnQykv5+Vw9XnjhetI1K5UVExERERFxXlpeLpJDgoKgc2dHS8ebEDAC5nlDfDw0YjvXKMxf3ANYlqSbTJayYp07a6m5iIiIiIgzUdAtkoOsdbxv9OefloC7Gvv4kQ6YSaIT3/MrLQHsyoo5Ol9ERERERPImLS8XyQOs5cJOU5Z93E0pLrCadnThG4f9RERERETEOSjoFskDrOXCzlOadqzmOzpRhGt8TTeeZUaqfiIiIiIi4hwUdIvkAdayYiYTXMWDIJYwm6dwwWAGQxjPK/j6GAQE5PZIRURERETkZijoFskDbiwrlkQhnmEWr/EWAK8wgYFx0zl3DpKSYN06WLDA8pqUlGvDFhERERGRDCiRmkgeYS0rFhJiLRtmYjyvcam4D8FX5vHOmSeZVcfS98SJ6+f5+loC9qCg3Bi1iIiIiIikRzPdInlIUBBERMDatTB/vuU17PwAyv31M8XLFuHECThxwqAk523nqI63iIiIiEjepaBbJI+xlhXr1cvyajZDlWouFPpvXcpbvM5OGlCVfwFLOTGw1PHWUnMRERERkbxFQbeIE9iwwVIurBiX6Mki7iSCTdxLczYB9nW8RUREREQk71DQLeIErPW5L1OcFvzKNhrjxVl+5n66EZ6qn4iIiIiI5A0KukWcQMr63KcpRxvW8h2dKEwcX9GD4YQBhup4i4iIiIjkMQq6RZxAyjreALEUpSvf8CFDcMEgjBFMNr9A7doqKSYiIiIikpco6BZxAjfW8QZIxsxzfMAI3icZE78l1adePUtw3qYN9O5tefX3V2ZzEREREZHcoqBbxElY63j7+KRsNbHYbwTzXtrDj6UfIyrKvoY3XC8p9s03ppwcroiIiIiIoKBbxKk4quN9+DD0fbs67u6WPhWI5mfacDd7geslxUaMMGupuYiIiIhIDlPQLeJkHNXxtpYUA5hKCG1Yxybu5T7WA5bA+9gxE3v2lMm1cYuIiIiIFEQKukXygZSlwoYwnc00ozTnWU07+jLPduz8+cK5MDoRERERkYJLQbdIPpCyVNgZynI/P/MV3XEjgXn05y1ew0QypUpdy71BioiIiIgUQIVyewAicvusJcWioixLya9RhEdZyH6q8ipv8xrjqWY6wOVSvQFLGTHrknRvb8v5ZnMufwgRERERkXxIQbdIPmAtKRYcbCkpZhhg4MJrjGc/VfmIp6hl7ObhV5tw6pKJ6dPh2LHr5/v6Ws4PCsq9zyAiIiIikh9peblIPuG4pBj87NefH4evZniV7zlysQKjRpntAm64XlZM9bxFRERERLKWgm6RfCStkmKdw1rx+UY/XF2TABNPM4u2rLadZy0rNmwYKismIiIiIpKFtLxcJJ+xlhS70e7dJhISzATwCzMYTDIuDGE6H/E0YAm8IyMte70dnS8iIiIiIjdPM90iBYS1rNhWmvIlfShEErN5himEYCYxVT8REREREbl9CrpFCghrWbF43OnL/3iVcQCEMI0f6EgJLtj1ExERERGR26egW6SAaNnSoEyZq5hMBmDibV6lG+FcwYMHWclmmtOk9AECAiz7utetgwULLK/a5y0iIiIicmsUdIsUEGYzDBy4G7CUFQNYQjcC2MAxfKjBXhqeW83TT4O/P7RpA717W179/ZXZXERERETkVijoFilAmjePZuHCJLuyYr/TgM7e25l51/vM5Bk+/RSVFBMRERERySIKukUKmK5djVRlxbZFejNo7whKlLBMgZfgAi8zwZZgTSXFRERERERujUqGiRRAjsqKrVsHFy8CGCygFx1YwX38Qi8WcJGSKikmIiIiInILNNMtIkDKUmEmPmEgsRShAyvYSlOqsc9BPxERERERyYiCbhEB7EuFLaEbLfiVo/hxN/+yjSZ0YHmqfiIiIiIikj4F3SICQEAA+Ppez2y+i/o0ZjsbaEkJYviBjrzq+h4NGxgqKSYiIiIikkkKukUEsOzznjrV8r018D5FeR5gDbN5ChcMBiVMp+U9F/HzU0kxEREREZHMUNAtIjZBQRAejl1JsQTcGO87i+WdZtDbYyl/Hi2Zal+3SoqJiIiIiDimoFtE7AQFkaqk2OEIE4HfPMvhEvVs/R5lAc3ZBKikmIiIiIhIWpwu6J4+fTr+/v4ULlyYpk2bsm3btnT7X7hwgSFDhuDt7Y27uzvVqlVj+fLlOTRaEedkLSnWq5fl1Wy2lAqzznA35Dfm0p91tGYgHwPYlRQTERERERELpwq6Fy1aRGhoKKNHj2bnzp3UrVuXwMBATp065bB/fHw87dq1IyIigvDwcPbt28fHH3+MT8q1syKSKSmXlO+lOt/TCTcS+JinmMkzuBGXqp+IiIiISEHnVEF3WFgYgwYNYsCAAdSsWZNZs2bh4eHBZ5995rD/Z599xrlz5/j2229p0aIF/v7+tGrVirp16+bwyEWcX8pSYVcoRncW8wrjScbEM8xmLW3w5rhKiomIiIiIpFAotweQWfHx8ezYsYNRo0bZ2lxcXGjbti2bN292eM53331H8+bNGTJkCEuXLqVs2bL07t2bkSNHYjabHZ4TFxdHXFyc7X1MTAwACQkJJCQkZOEnyjrWceXV8UnecLvPSbNm4ONTiOPHwTBMgIkJvMLv1Gc+vbmXzeygIZt/WERCi+YkJcHGjSaioy0Be8uWBmn8z07yCP0ukYzoGZHM0HMiGdEzIpnhDM9JZsdmMgxrCqS87fjx4/j4+LBp0yaaN29ua3/ppZdYv349W7duTXVO9erViYiIoE+fPgwePJgDBw4wePBgnn/+eUaPHu3wPmPGjGHs2LGp2ufPn4+Hh0fWfSARJ7R5szfvvtv4v3cmW/td7OcbgriHv3idN/m+7tMcO1acs2eL2PqUKXOVgQN307y51p+LiIiIiPOLjY2ld+/eXLx4EU9PzzT75eugu1q1aly7do3Dhw/bZrbDwsKYOHEi0WlsPHU00+3n58eZM2fS/UHmpoSEBFavXk27du1wdXXN7eFIHpVVz8k335gIDTUTFXU96Pb1NZg6/iLFF3xM4IpQDMyAQcrA3GSy/KpZuDCJrl2d4tdOgaPfJZIRPSOSGXpOJCN6RiQznOE5iYmJwcvLK8Og22mWl3t5eWE2mzl58qRd+8mTJ6lQoYLDc7y9vXF1dbVbSl6jRg1OnDhBfHw8bm5uqc5xd3fH3d09Vburq2ue/ce2coYxSu673eekRw/o1u16NnNvbwgIMGE2lySpz4uUqQBnzkARrvIBzzGasUThi2GYMJnghRcK0a0bWmqeh+l3iWREz4hkhp4TyYieEcmMvPycZHZcTpNIzc3NjYYNG7JmzRpbW3JyMmvWrLGb+U6pRYsWHDhwgOTkZFvbv//+i7e3t8OAW0Qyx1FJMbAE4mfOWL5/nxd4ks/YSQNasxZQWTERERERKXicJugGCA0N5eOPP2bevHn8888/PPvss1y5coUBAwYA0LdvX7tEa88++yznzp0jJCSEf//9l2XLlvH2228zZMiQ3PoIIvlayl0b7/MCu6hLOU7zE215kfewLDlXWTERERERKTicZnk5QM+ePTl9+jRvvPEGJ06coF69eqxYsYLy5csDcPToUVxcrv8dwc/Pj5UrVzJ8+HDq1KmDj48PISEhjBw5Mrc+gki+lrJc2GEqcy+bmMFg+jOP9xhJM7bQn7l4e3uSlHTjEnUtORcRERGR/Mepgm6AoUOHMnToUIfH1q1bl6qtefPmbNmyJZtHJSJgCZx9fSEqyrKU/CoeDGAOm2nONJ4niG+oxd8s/d9SHn+8OseOXT/X1xemToWgoNwbv4iIiIhIVnOq5eUikreZzZbAGcBkS1xu4iOe5j42cBQ/SnOOD+YUtQu4wRKoBwfDkiU5OWIRERERkeyloFtEslRQEISHg4+PfXu0XxN2zN5B9yLLOIafrd2EJdGhtXjhsGGQlJRDgxURERERyWYKukUkywUFQUQErF0L8+dbXg8fhlLVyrL+ahNbvy58w3paUZEoQNnNRURERCT/cbo93SLiHKxlxVJKmbXclXimEsIdRPI79enDl/xEu1T9REREREScmWa6RSTHpMxunoAb9/Mzv1OPcpxmJYG8wVhcSMLb27LEfN06WLDA8qol5yIiIiLijBR0i0iOsWY3tyZZO0gV7mUTs3kKFwzGMoYVdGD3z6fx94c2baB3b8urv7+SrImIiIiI81HQLSI5xlF282sU4Rlm8xifcwUP2rGarm/V58qxc3bnKru5iIiIiDgjBd0ikqPSym7+i99jrB63jb2m6iwhiPOUtjuu7OYiIiIi4oyUSE1EclxQEHTubMlSHh1t2esdEAAbNtSikbGdeNxsfctxknjcuEApu+zmNyZpExERERHJixR0i0iuSCu7+RWKXe9DIl/Rg0ocoSeL2EZTWz8REREREWeg5eUikmekzG4OUJHj+BCFP0fYSEtCmYSJ5FT9RERERETyKgXdIpJn3JjdPJI7aMBOFtITVxKZxAt8b3qE0sZZQGXFRERERCTvU9AtInmGo+zml/CkFwt4mllcw52HjWWUvr8eEztvVFkxEREREcnzFHSLSJ7iOLu5iR/9nmbl2K0cK1oNX47R/rshRB1LtjtXZcVEREREJK9R0C0ieU5QEEREwNq1MH++5fXwYej8Rl3KR+7gf65P0pv5GDf8ClNZMRERERHJa5S9XETyJEfZzQF+/aMY/RI+sWsbzHT2U5XVtFdZMRERERHJUzTTLSJO5cZyYQ35jamEsIpA3mEkrsQ77CciIiIikhsUdIuIU7mxXNjf1OIjngJgJO+xkZZU5iDe3spuLiIiIiK5T0G3iDiVG8uKXaMIQ5hBV5ZwjlI0YTu/U5+dI76kUiVlNxcRERGR3KWgW0SciqOyYgDf0pV6/MEvBODJJUJ3PsbrUU/bnavs5iIiIiKS0xR0i4jTcVxWDPDz4+TCtbxTZCxJuLCbe+wOK7u5iIiIiOQ0Bd0i4pTSKitWtryZUVffoB67mM4QW39fIjGRbJfdXEREREQku6lkmIg4LUdlxaxZy/9KMctdjEusozVHqEQ/5nEMP2U3FxEREZEcoaBbRPKVG7ObA9Tnd8pzkrs4xJ/U4Sk+oly57iQlWWa8o6Mt5wUEWAJ5EREREZGskq3LyxMSEoiMjGTfvn2cO3cuO28lIgKkzm4OsIH7qM/vbKMxpbjAYnpwoesA7q54SdnNRURERCRbZXnQfenSJWbOnEmrVq3w9PTE39+fGjVqULZsWSpVqsSgQYPYvn17Vt9WRARIO7v5AarSkl8Zx6sk4UK3S3NZeaoeTdli66Ps5iIiIiKS1bI06A4LC8Pf3585c+bQtm1bvv32W3bt2sW///7L5s2bGT16NImJibRv354HH3yQ/fv3Z+XtRUSAtLObV/Bz5e6vxtGtzDoiqMRdHOJl3rEdV3ZzEREREclqWbqne/v27fzyyy/UqlXL4fEmTZrwxBNPMGvWLObMmcOGDRuoWrVqVg5BRASwBN6dO6fes71hAyw9G8Ba/uBtXmEso+3OS5nd/MYkbSIiIiIiNytLg+4FCxZkqp+7uzvPPPNMVt5aRCSV9LKbx1CCoUy3OzaTZ/id+nzEU0RHW9amK9maiIiIiNyObEukNm3aNI4fP55dlxcRuSWOspsDPMBPPMNsZvMMP9CRhMgTLFliSa6mZGsiIiIicquyLegeNmwYAQEBREZG2rXHx8ezY8eO7LqtiEi6HGU3B/iZ+xlOGNdw52GW89DI2nzRbQnHjtn3U7I1EREREbkZ2VoyrG3btrRq1cou8D5//jxNmjTJztuKiKQprezmBi5MNQ2nETv416MeXpxlCd2YQ388uXi9n5KtiYiIiMhNyLag22Qy8dZbb9GnT59Ugbdh/a9WEZFckFZ2c19fePPrWhz/ZitvM4okXOjPPH6kA3D991bKZGsiIiIiIunJ0kRqjrz11luYTCZatWrF+vXrcXNzw3Tjuk4RkRyWVnZzsxkWLHDjVd5mGQ8zj37/ZThP/XvLmpRNRERERCQt2RZ0p5zNfvPNN22B98KFC7PrliIiN8VRdnO4nmxtEy2oyR4ScLMd68I3nKACW2iOt7eym4uIiIhI+rIt6B4/fjxFixa1vR87diwAnTp1yq5biohkCWuytagoSDCuB9y+RDKX/hTjMpMLvcihf8by+OPudsnWfH0te8aDgnJh4CIiIiKS52Tbnu5Ro0bZBd1gCbyfe+45ihcvnl23FRG5bWklW7tEcb6lC2aSeSHxXZoMbkjZYzvtzlV2cxERERFJKUuD7qNHj2bY57XXXuPChQsAREVFZeXtRUSyjKNkaxcpyet+8/im37ecpBy1+ZutNOUNxlKIBEDZzUVERETEXpYG3Y0bN+bpp59m+/btafa5ePEiH3/8MbVr1+brr7/OytuLiGSpoCCIiIC1a2H+fMvr4cNQqn9navE3iwnGlUTGMoZN3Isr8YCym4uIiIjIdVm6p3vPnj2MHz+edu3aUbhwYRo2bEjFihUpXLgw58+fZ8+ePfz99980aNCA9957j4ceeigrby8ikuUcJVuLjoazeNGDr+jJIqYzhA0E2CVcs/ZTojURERGRgi1Lg+4yZcoQFhbG+PHjWbZsGRs3buTIkSNcvXoVLy8v+vTpQ2BgILVr187K24qI5ChrdnMwsYhHWUdrYvC0Ha/Cfopyhf376+HvjxKtiYiIiBRg2ZK9vEiRIgQHBxMcHJwdlxcRyVUps5sbBpykgu2YC0nMpT9N2MaE0aM4yWuQYgbcmmgtPFyBt4iIiEhBkG3Zy0VE8qu0spsDFCWW41TElUTe4C1+oxEN2GE7rkRrIiIiIgVLjgTdW7du5fDhwwBs3LiR999/n++//z4nbi0iki0cZTcHKOlXnH/GLqY7X3GKstRhN1tpyjhexY04QInWRERERAqSbA+6hw0bxogRI+jVqxevvfYar7/+OgCzZ89m+PDh2X17EZFsk1Z286pVIZzu1OJvFtKTQiTxKm+zi3rcwRHb+dHRuTd2EREREckZ2bKnO6WffvqJ3bt3ExcXh6+vL1FRUbi7uzN8+HDq1auX3bcXEclWjrKbWxOtnaEsvVjIV/RgBoO5ShGOUzFVP2U4FxEREcm/sj3oBkhMTCQuLo6EhASuXbuGu7s7SUlJJGlDo4jkQzcmWvuGINbShjKcJRFXANyJ42z4JsLPtGH4cGU4FxEREcmvsm15+eXLlwF48sknqVGjBvXq1WP8+PH07NmT5557jubNm9OtW7fsur2ISK5xlGjtAqU4SBXb+1G8Tbfp9xPbvS+xx87anW/NcL5kSQ4OWkRERESyRbYF3SVKlODrr79m+PDhbNmyhe3btzN06FAWLlxIq1atmDFjBm+99VZ23V5EJFellWjN1xcWL4aO7eJIwoW+fM4/1KA7XwGW1ObKcC4iIiKSf2Rb0G0YBrNnz6ZFixZ06dKFcePGsX37dkqWLElwcDBNmzbNrluLiOQJaSVaCw6GS6+8w71s4i9qUY7TfEVPltIZXyIBZTgXERERyS+yNXv577//ToMGDWjZsiV///03AQEBvPDCC9l5SxGRPMWaaK1XL8urNUFadDRsoykN2MloxhCPK4/wPXuoySMstZ0fHW2Z7V63DhYssLxq9ltERETEeWRrIrX58+fTrl072/s///yTzp074+Pjo3JhIlKgWTOXJ+DGm4xmMd35iKdowE52c4+t3/794O+vRGsiIiIizirbZrpLly6Nn5+fXVudOnX48MMPmTlzZnbdVkTEKVgznFsTq/1DTe7jF5qzmcNUtvXbNXoJZ4/F2p2rRGsiIiIiziPbgu569eoxZ86cVO1VqlTh6NGj2XVbERGn4CjDuYELf1LX9r4lG1hCN/6iNu1YZTtXidZEREREnEe2Bd3jxo1j2rRpPP7442zevJkrV65w6tQp3n77be68887suq2IiNNIL8P52LHgSgJH8aMyh1lFIJ/zGOU4CSjRmoiIiIizyLagu1mzZmzZsoXIyEgCAgLw9PTE29ub8PBwJk2alF23FRFxKmllOK9aFdZyP7X4mymEkIyJx/iSvVTnKWZjIhlQojURERGRvC5bE6nVrVuXdevWcerUKXbs2EFycjJNmzbFy8srO28rIuJUrBnOU7ImWrtMcYYzhS94jNk8TUN2MptneIjldGGpEq2JiIiI5HHZWjLMqly5cnTo0IGHH35YAbeISCbcmGhtB41owjaeZyoxFGcx3QEYPdo+4AYlWhMRERHJS3Ik6BYRkZvjKNFaMmY+4HmqsZ8v6WPr25Hv6cy3tvdKtCYiIiKSdyjoFhHJo9JKtObmV56xYy2RuCcX+Yin+JauLOURKhEBKNGaiIiISF6hoFtEJA9LL9EaQDxufMYTxOPKI3zPHmryCuNxIw6wJFoDJVsTERERyS0KukVE8jhrorVevSyvZvP1RGvXKMJrjKceu1hLazy4ynheYzf30I5VlCtn2dvt7w9t2kDv3pZXf3/t+RYRERHJCQq6RUSc0I2J1v6hJvfzM72Yz3G8qcZ+VhHIxH5/0a2bkq2JiIiI5BanC7qnT5+Ov78/hQsXpmnTpmzbti3NvnPnzsVkMtl9FS5cOAdHKyKSPRwlWgMTC+lFDfYSxnA+N/djZVTtFGcZ179TsjURERGRHOFUQfeiRYsIDQ1l9OjR7Ny5k7p16xIYGMipU6fSPMfT05Po6Gjb15EjR3JwxCIi2SetRGsl/Dzx/zqMYl/NsbX5cZTfaMQD/GRrU7I1ERERkeznVEF3WFgYgwYNYsCAAdSsWZNZs2bh4eHBZ599luY5JpOJChUq2L7Kly+fgyMWEcleaSVaCwqCa3G2KXDGMIaG7OQn2hFON+7g+h8go6Mts93r15v45Rcf1q83afZbREREJIsUyu0BZFZ8fDw7duxg1KhRtjYXFxfatm3L5s2b0zzv8uXLVKpUieTkZBo0aMDbb79NrVq10uwfFxdHXFyc7X1MTAwACQkJJCQkZMEnyXrWceXV8UneoOckf2vR4vr3ycmWr7JlTVh/zYcSxiWKM4TpdGMJD7Gcd3iZ93iJvXvdqFTJhaioQkAjwsLAx8cgLCyJrl0Nh/eTgkm/RyQz9JxIRvSMSGY4w3OS2bGZDMNwiv+iOn78OD4+PmzatInmzZvb2l966SXWr1/P1q1bU52zefNm9u/fT506dbh48SLvv/8+v/zyC3///Te+vr4O7zNmzBjGjh2bqn3+/Pl4eHhk3QcSEclmSUnw1FPtOXu2MGCZ9a7NbqbxPG1YB8Bh/AlhCt/ziK2PheX/GkaO3E7z5tE5Om4RERERZxAbG0vv3r25ePEinp6eafbL10H3jRISEqhRowa9evXirbfectjH0Uy3n58fZ86cSfcHmZsSEhJYvXo17dq1w9XVNbeHI3mUnpOC6ZtvTDz6qBkAw7AG1Qbd+YpJvIAfxxjHq7zOuFTnmkwGPj6wf38iZnMODlryLP0ekczQcyIZ0TMimeEMz0lMTAxeXl4ZBt1Os7zcy8sLs9nMyZMn7dpPnjxJhQoVMnUNV1dX6tevz4EDB9Ls4+7ujru7u8Nz8+o/tpUzjFFyn56TgqVHDyhUCEJCUpYNM7HFryefP96RS29PYxrP2/rfxQFOU5YYSmAYJo4dgy1bXGndOjdGL3mVfo9IZug5kYzoGZHMyMvPSWbH5TSJ1Nzc3GjYsCFr1qyxtSUnJ7NmzRq7me/0JCUlsXv3bry9vbNrmCIieU5aydburF2UdxhFLEUBMJHMAnqxn6o8ySe4YMmmZk20tm4dLFhgeVWiNREREZHMcZqZboDQ0FD69etHo0aNaNKkCVOmTOHKlSsMGDAAgL59++Lj48OECRMAePPNN2nWrBlVqlThwoULTJw4kSNHjjBw4MDc/BgiIjnObCbVbPWNf3/0JpriXKIcp/mEQQxhOiFM5d9/78PfP+VMOfj6WuqEBwVl98hFREREnJvTzHQD9OzZk/fff5833niDevXqsWvXLlasWGErA3b06FGio68n/Dl//jyDBg2iRo0aPPTQQ8TExLBp0yZq1qyZWx9BRCTPCAiwBM+m/7Z6H8eHe9jNMCZzgRLUZxe/0IoaY3pgPhZhd25UFAQHw5IlOT9uEREREWfiVEE3wNChQzly5AhxcXFs3bqVpk2b2o6tW7eOuXPn2t5PnjzZ1vfEiRMsW7aM+vXr58KoRUTyHrPZMlsN1wPvRFyZyjCqsZ+ZPEMSLvRgMXupTl122c61puAcNkxLzUVERETS43RBt4iIZJ2gIAgPBx8f+/bCfmU5PXYm9fmdn2nDn9ThT+rY9TEMiIyEDRtycMAiIiIiTkZBt4hIAWdNtLZ6dSKhob+xenUihw9D1aqwmzo8wBoeZAXGf/+XUZTLfE9H7mM9YEm0Bkq2JiIiIuKIgm4REcFshlatDO67L4pWrQzM5pSJ1kycp7StbyhhdGQZ62nN1wRxdfcBliwBf39o0wZ697a8+vtrz7eIiIiIgm4REXHoxkRrVrN4xrbfO4hveGxCTQ53G8HlY+ft+inZmoiIiIiCbhERSYOjRGsApynHENNM6vIn270exI0ERhDGAaowlA8AS5Y1JVsTERERUdAtIiLpSCvRmq8vvPl1La4s/pEH+ZG/qEUZznEvm4DrEXrKZGva8y0iIiIFUaHcHoCIiORtQUHQubMlcI6Otuz1DgiwzIQvWAAreZCfaMtAPmEFD9rOu4MjeBPNVpqxdCk8/jgcO3b9ur6+lpn0oKBc+FAiIiIiOURBt4iIZMhshtatU7dbk60lUYjZPGN3bAKj6M0CFhPMqCkTOEYVu+PWPd/h4Qq8RUREJP/S8nIREbllaSVbcyGJWDxIxkR3wtlDTaYQQhnO2Ppoz7eIiIgUBAq6RUTklqWVbC0ZM0+ZPqEuf/AjlmRrIUzjAFV4iXcpzFXAfs+3iIiISH6koFtERG5LesnW2g67h4f4kXasYhd1KclF3uVlnuMDu77R0Uq0JiIiIvmTgm4REbltQUEQEQFr18L8+ZbXw4ctCdgAfqIdDdlBX+axlSbMYLDt3NKc5Z89Bv7+0KYN9O5tefX3V41vERERcX5KpCYiIlnCUbI1657vqChINsx8Tl8+53GsZcVMJLOSQOLGufMz73KMlrZzlWhNRERE8gPNdIuISLZxvOfbZHtfkz3UZA8t2MRGAviWztTkb0CJ1kRERCR/UNAtIiLZKr093z3G1qYKB5jNUyRipjPf8Sd1mEN/KhGRKtGa9n2LiIiIs1HQLSIi2S6tPd9Vq0I0FXmG2dTib8Lphplk+jOPf6lGXXYBlkRrS5agfd8iIiLidLSnW0REcoSjPd/e3te//5e76U44jdjO27xCac7xJ3UAePtt2PNXMsk3/K1Y+75FREQkr9NMt4iI5BprorWUNb5/ozHtWc39/Izx3/9NHf7rMn9Tk5G8gwdXbH2171tERETyOgXdIiKSaxwnWrO4ZCqByQTPPAP9mEd19vEOozhAFYbwIW7EAdjt+9aebxEREclrFHSLiEiuSi/RWng43HcfzOIZHud/HOJOvDnBhzzHfqryJJ9QiAQAli7Vnm8RERHJexR0i4hIrksr0VpQkGXfdzJmvuBxqrOXwUwniorcQSSfMIg91MSDK0yZAseO2V/XuudbgbeIiIjkFgXdIiKSJ1gTrfXqZXk1my3tKfd9J+DGTAZThQMMYzInKccOGhJLUYfX1J5vERERyW0KukVEJE9ztO/7GkWYyjDu4hAhTLX1rcxBttGYR1gKWCLuG2t9i4iIiOQkBd0iIpLnpbXvu7RfUXoPK297P5J3acxvLKULv9GIjnyPNfiOjlaiNREREcl5CrpFRMQppLXvu3Pn631e5h3eZhSXKUpDdvI9j7CNJjzEMv7ZYyjRmoiIiOQ4Bd0iIuI0HO37Trnn+zyleZW38SeCdxjJZYrSmN9YRkdajgvk2DHD7npKtCYiIiLZTUG3iIg4NUd7vs/ixSjeoTKHeY8XuYIHm7gXsBYDNwBDidZEREQk2ynoFhERp5fWnu/CfmW5NvY97uQwYYTa2tuzii004yGWYRiGXaI17fsWERGRrKSgW0RE8oW09nxXrQqnKcclPG19X2QiTdnGMjryG414hKUciTBYsgTt+xYREZEspaBbRETyDUd7vr29U/frzXze5SVbwrWldKH+k/X5stvXRB1Ltuurfd8iIiJyOxR0i4hIvpYy0ZrVacrxMu/iTwTjeYUYilMn+Q++Jpiv6GF3vvZ9i4iIyO1Q0C0iIvmao0RrVudMXrxuGs+MFyMYyxtcoARf08123I04CpGAYWDb96093yIiInIzFHSLiEi+l1aiNV9fS3ul+qUZw1j8ibCb6X6WmfxLNZ5hJu5cY+lS7fkWERGRm6OgW0RECoS0Eq0FBV3f932RkiRj/u8Mg8f4gjuJYCaDOURlXKZM4vyxy3bX1Z5vERERSY+CbhERKTAcJVoDx/u+wUQAGxjKBxzFj4pEM4kXiMCf13iLElwAtOdbRERE0qegW0RECry09n1fowgzTEOpwgGe5BP2UwUvzvIWbzCdIbZ+2vMtIiIiaVHQLSIiQvr7vocMc+MznqQG/9CL+eymNpMZbuvjzXEqc1B7vkVERCQVBd0iIiL/SWvfd+fOluNJFGIhvajDn+ygke281xjHv1SjyZRelD72h901tedbRESkYFPQLSIikoKjfd+p93yn3PxtUJ6TmEmmFwv5g3os4yEC+AUwtOdbRESkgFPQLSIikoH0an2bTCaC+Zp6/M4CHiUJFx7iR36hFZu4lw4st9vzDdr3LSIiUpAo6BYREcmE9PZ8DxsGf1CP3izgbvYxm6e4hjvN2cK9bLL13bfPssxc+75FREQKDgXdIiIimZTRnm+Ag1ThGWbjTwTjeJUPeM52bNGQ9WzvNoHLx87bXVf7vkVERPIvBd0iIiI3IXN7vuEkFXidcZyiPACFCsErSW8xgVc4yh1MIhQ/jgKpa31r+bmIiEj+oaBbRETkNqW/59vy9dqrBnPpz5/cQ3EuE8pkDlGZL+hDfXba9n2PH6/l5yIiIvmJgm4REZEskN6e7/BwqHa3iS95jLr8wYP8yM+0oRBJ9GE+O2nIDJ4FYPRoOHbM/hpafi4iIuK8FHSLiIhkkbT2fAcFgbe3tZeJlTzIA/xMA3bwJb1JxMwWmtmu48413Llme6+yYyIiIs5LQbeIiEgWcrTnGxzv+/6dBjzGl9zJYRbyqK19EB9zhEq8zpuU5RSAXdkx7fkWERFxHgq6RUREckB6+76jTH7E4257H8QSynOKNxnNUe7gYwZSi78AWLpUe75FRESciYJuERGRHJLevu+xY6+/b88qejGfbTSmMHEM5FP+4h5W0p49U1Zqz7eIiIgTUdAtIiKSg9La9/3qq9eXnyfiykJ60ZSttGAj4XQjCRfas5qn+CjVNbXnW0REJO8qlNsDEBERKWis+75vNHWqZcbaZLIG0iY20YLNphZUMg4zlA/5mm62/pU5yEA+YQaDOWb42fZ8t25tCb43bIDoaEsSt4CA6/vLRUREJOdopltERCSPSG/5eZdhd/ICk9jMvbb25/iAUbzDYe5kET1owUaORRosWaJ93yIiInmFgm4REZE8JK3l5507p+67kkBbve8eLGYjAdTu34il3eZx6licXV/t+xYREckdCrpFRETyGEdlxxyVHFtBBx7gZ+7hTz5mIFcpTL3kncyjP39QFxPJtr437vtW2TEREZGcoaBbRETECaRXcuxv0z08bfqYqSMieZkJROLL93TCsP3fvEETtmIYBpGRMH68lp+LiIjkFAXdIiIiTiK9Pd/h4VCpoRfv8jKVOcSbvGE7fj8/s5Vm/E59nuQT3hkdq7JjIiIiOURBt4iIiBNJa893UJAlSzlYSo5dprjtnKrsJ5Yi1OMPPmEQx/BlIi9wJ4dsfVR2TEREJHso6BYREXEyjvZ8g+N93wCzeQZfjjGC9znEnZTmPC8wiQNU4Xs6UoILgCXwtpYd055vERGRrKGgW0REJJ9Ib9/3BVNpwhhBVfbzMD+wgkBcMLiLg1ykhK2fK/EsXep4z/c339xwUREREcmQgm4REZF8JL1932PHQjJmlvMwHVhBNfbxFB8BlmC6CLFE4E+9Kf2oeGwrYNjOj4qCRx81s3mzd859GBERkXxAQbeIiEg+k9a+71dftV9+vp9qbCTAdt6DrKAi0fTjf2ylGb/RiCf5BA+u2PZ8f/ppbdtScy1BFxERyZiCbhERkXzI0b7v9Jafm0zwDV1pwlbm0o9ruNOQnXzCII5TkQ8Yio9xjDNnPNi40cSSJSo7JiIikhkKukVERAqQ9JafDxtmYjtNGMBcfIjiBSaynyqUIIahTMedOADGjnUhOBiVHRMREckEpwu6p0+fjr+/P4ULF6Zp06Zs27YtU+ctXLgQk8lEly5dsneAIiIieVxay887d77e5xxlmMQL3M0+2rKa13mTg1QBYONGF2Ybg3ifEVRjn+2cG8uOafm5iIgIFMrtAdyMRYsWERoayqxZs2jatClTpkwhMDCQffv2Ua5cuTTPi4iI4IUXXiAgICDNPiIiIgWJdfl5StaSY1FR1wNoAxfW0JY1tMVkMnB3T6TUtdMMYA6FSGIEYaylNR8ziCUEEWcUJjISxo+Hjz+2nw339bUsbw8KyrGPKSIikuucaqY7LCyMQYMGMWDAAGrWrMmsWbPw8PDgs88+S/OcpKQk+vTpw9ixY6lcuXIOjlZERMS5ZLTnG6BduyOcpDydWcr3dCQJF9qwjvn0IQofwhhOVf5l9GgtPxcREQEnmumOj49nx44djBo1ytbm4uJC27Zt2bx5c5rnvfnmm5QrV44nn3ySDRs2ZHifuLg44uLibO9jYmIASEhIICEh4TY+Qfaxjiuvjk/yBj0nkhE9IwLQqRMsXGgiNNRMVNT1yNvHx+C99+I5ePAE339fheU8zHIexpdInuAzBvIJfhxjOFM4yF3spyrWUmRWhgEmk0FICDz0UCIAGzeaiI4Gb29o2dLAbM7JTyvZQb9LJCN6RiQznOE5yezYnCboPnPmDElJSZQvX96uvXz58uzdu9fhORs3buTTTz9l165dmb7PhAkTGDt2bKr2VatW4eHhcVNjzmmrV6/O7SGIE9BzIhnRMyLu7jBtGuzZU4bz5wtTqtQ1atY8i9kMNWtCmTJXOXu2MGDiGH68yWjG8RoPsoIBzOFL+mANuB9lAfeyiU8YyJ/UxTBMHDsGAwYcYPVqf86eLWK7b5kyVxk4cDfNm0fnzgeXLKXfJZIRPSOSGXn5OYmNjc1UP5NhWHdt5W3Hjx/Hx8eHTZs20bx5c1v7Sy+9xPr169m6datd/0uXLlGnTh1mzJhBhw4dAOjfvz8XLlzg22+/TfM+jma6/fz8OHPmDJ6enln7obJIQkICq1evpl27dri6uub2cCSP0nMiGdEzIhmxPiOxsQ/Sp48bAIZxfTbbZDL+2wt+vW0LTWmKJenpbzTkEwaygF7EYP3/VPvzARYuTKJrV6f4zxNxQL9LJCN6RiQznOE5iYmJwcvLi4sXL6YbKzrNTLeXlxdms5mTJ0/atZ88eZIKFSqk6n/w4EEiIiLo1KmTrS05ORmAQoUKsW/fPu66665U57m7u+Pu7p6q3dXVNc/+Y1s5wxgl9+k5kYzoGZGMBAe74O5uIiTkxkRpJgYOhNGjrS0Gr/MWA/mELnxLI3bQiB2EEcpiuvMxg/iVlrbzDcOEyQQvvFCIbt3QUnMnp98lkhE9I5IZefk5yey4nCaRmpubGw0bNmTNmjW2tuTkZNasWWM3821VvXp1du/eza5du2xfjzzyCG3atGHXrl34+fnl5PBFRETylbTKjr36qiVLuSXxmonVtKcnX+FDFMMJ4y9q4cFV+vE/XuHtVNc1DIiMBGsaFpUdExERZ+c0M90AoaGh9OvXj0aNGtGkSROmTJnClStXGDBgAAB9+/bFx8eHCRMmULhwYWrXrm13fsmSJQFStYuIiMjNc1R2DCwZ0IODLYG3dRPbGcoy1TScKcYwmrKVJ/mUpVwvDO7HUaYzhDkM4Ac6Eh3txpIlOJhNV9kxERFxLk4VdPfs2ZPTp0/zxhtvcOLECerVq8eKFStsydWOHj2Ki4vTTN6LiIjkS0FBEB7uOGAeONDE6NHN2Eozu3P6MY9O/EAnfuA0Xqx4/jEmnBnAMerY9bOWHQsPV+AtIiLOwamCboChQ4cydOhQh8fWrVuX7rlz587N+gGJiIhIKkFB0LmzZZm4tSRYQIDl2McfW4LnlKlcF/IoHsTSj3lUJJrHz0zhcabwGw2ZwwDmMICrePxXdgyGDbNcH1LfQ3vBRUQkL9G0sIiIiGQL6/LzXr0sr2az5WvqVMtxU4oy3geoyqumCVTiKNMClxFON+JxpRE7eJeRuJBs62vd9z1+PPj7Q5s20Lu35dXfH5YsycEPKSIikgEF3SIiIpKjrMvPfXzs2319YdHXhSjb7yG6E05FjhPCFN7jJa5Q7L9eBitpz0ReYPHo3XbL1+H68nMF3iIiklc43fJyERERcX5pLT83my1ZygHO4sU0QuzOq8/vtGc17VnNC0xiBw2YRz/m05uzeGn5uYiI5Dma6RYREZFc4Wj5OVgC4+tlx+zt5h4eYSlfE0Q8rjRkJ9MIIRpvvqUzTdmi5eciIpKnKOgWERGRPCWtfd8ASSZXvucRgvmaihxnKB/wGw1xJZHOfEdpztn6Thh9lWPHDLvztfxcRERymoJuERERyXPS2/c9dqzl+7N4MZ2hNOY3avEXY3mDVbS39X2DN9lPVd5gLJU5CFzPmD5sGCQlWb5PSrIsaV+wwPJqbRcREckKCrpFREQkTwoKgogIWLsW5s+3vB4+DK++mnr5+R5qMYaxJNnS1Rh0ZilVOMhYxnCQKmykBc8yg9LGGSIjLXu9lyzREnQREcleCrpFREQkz7qZsmP27000ZjuP8TmraEcSLrRgEzMYQjTefMYA3nzTstRcGdBFRCQ7KegWERERp5OZ5eexFOVLHiOQVfgRSeh/2c5dSSQWD9autSw3N5FMK9bhgmVd+Y1L0LX8XEREbodKhomIiIhTSqvsGMDHH1tmrK0BdDQVmUwokwmlJnswFSkMVy3HWvAr62jDcbxZyKMsoBe/GY2IjDQxfrzlWilnw319LTPtQUE5+3lFRMQ5aaZbREREnNatLD//x1STdk9XtrXdwVHOUYqKRBPKZLbThH+pxhhGM3/0Xi0/FxGR26KgW0RERPKd9Jafh4dbZsit5tOHCpygI98zn15cwYOqHGA0b7KXGjRgh901tPxcRERuhpaXi4iISL6U1vJzs9kSGPv6Xl+CnoAby+jIMjpSlMs8wnf0Zj53s4/fqW+7ZghTiMOdcCOYyMiyWn4uIiIZUtAtIiIi+ZZ1+bmj9qlTLcvETabrs9cAsaZiLDB6s4DeuBKP8d/CwEIk8Brj8OIsH/Aca3iAhaMf5RJdgZK2863Lz8PDrwfeSUmOg38REcn/tLxcRERECqTMZEBPwM3W7koCExjFdhpRiCQCWcUcnuAk5fmGLnRgOZB6+blqgYuIFGwKukVERKTACgqCiAhYuxbmz7e8Hj4Mr75qCb5TJmK7igdhjKAJ26nCfl5lHH9RC3fi6cJSAthg62s2EjgbeYXx41ULXESkoFPQLSIiIgXarWRAP0gV3uZV7uEvarOb8bzCl/Sx9WnPKk5RjupjetLFWEJha32y/ygZm4hIwaGgW0RERMSBzCw/B/ib2rzGeP6mtq2tLT9RlFh6GF+xhG6cohxf0IfOfGsLwA0DIiNh/HgtPxcRyc8UdIuIiIik4WaWn6c0gjDuL7aNibzAEe6gOJfpw3y+pSunKEcFom19R4/W8nMRkfxMQbeIiIhIOm5l+TkmE61fbMxLTMSfCJqxmTCGcxQ/jnIHJ/C29X+OaQTxNUWItbVp+bmISP6hoFtERETkFqS3/Dw8POVsuImtNGMEYfgTQVt+svUtQiwTGMXXBHOasiyiBz1YRDEuafm5iEg+oaBbRERE5Baltfw8KMjxbLiBCyfwtr0vzDVmMJjD+Fv2gLOYRTzKacryLZ15kB+1/FxExMkp6BYRERG5DY6Wn1tllIztPKV5iYlU5hCN2M47jGQ/VShMHJ35jrr8YTunCLF4cRpIvfwctARdRCSvKpTbAxARERHJz4KCoHNn2LABoqPB2xsCAizHPv7YMmttGCZ20IgdNGIUE7iH3XTja76ih+06XfmG/9GXX7iPb+jKN0ZXIiP92LABzp2DkBD7GXFfX8tMe1BQDn9gERGxo6BbREREJJtZZ8NvNHWqZZm4yXR99hpM/GWqw26jjl3f+vyOmWTasI42rGMaIWynEVv7BPHh8a4co7pdf+sS9PBwS+CdlJQ68E85Ky8iItlDy8tFREREcklma4EDvMj7+HOY4YTxCwEkY6IxvzH0+CvspYZdGTKwX4IeHq5kbCIiuUUz3SIiIiK5KHPLzy3vj+DPFIYzheGU5yQ9Cn9Hh2tLKMoVuzJkc+jPZYrxrdGF9ZGt6N7dNdV9b5wJFxGR7KGgW0RERCSX3dzyc8v7U5TH/MwgHpoyCBPJtmMluEAfvsSVRIYynfOUZBkP8w1dWUkgVygGWK5nMllmwjt3tpyr5eciIllPy8tFRERE8qiMaoFbg2UjxX/SxeJBF77lYwZyknKU4gKP8SVfE8wZvBjDaFtf1QIXEcl+mukWERERycPSWn5uNluSo/n62i9BT8CN5TzMch7mGWbRjC104Vu68g1VOMgpytmu7c1x+jOXr0Y/wjFqASbbMUfLz5WMTUTk5mmmW0RERCSPS6sWuNlsWYIOlqXiKZlMkIyZTbTgJSZSlf3UZjcLedTW5xG+421e5S/u4QBVCGM4rVlLIRJS1QJfskSz4SIit0JBt4iIiIgTS28J+ldfWV4tAbmJv6nNOcrY+kTgzw88zDXcuYtDDGcKa7mfU5TjS3rjZxyxLT8PDravAw7XZ8MVeIuIpE1Bt4iIiIiTCwqCiAhYuxbmz7e8Hj4M3bunPxO+kgfpxA94cYauLGEu/ThDGUpxge4sJgZPAN58ExoZ26jCfrtr3DgbnpQE69eb+OUXH9avN5GUlL2fW0TEGSjoFhEREckH0lqCnpla4Fcoxrd0ZQBzKc9JWrCRoXzIBUoBlmB6Gs+zn2r8Q3Xe40Vasc62DD1lMrZ27QoRFtaIdu0Kafm5iAhKpCYiIiKS791MLXDrPvBNtMBkghIl4PKFBGLwJIFCVGcf1dnHi7zPBUqwkkDCCWb06O6p7ntjMjYlYhORgkgz3SIiIiIFgKOZ8IwSsQEMHw6JuBLIKrw4Qw8WMY++nMaLklykJ1/Rg6/szq3FX4Bht/w8PFyJ2ESkYFLQLSIiIlKAZVQL/NVXrydji6EEi+lBf+ZRgRM0ZxPjeJV59LOdV419/MU9ROLHRwziEeNbzkdeonv3zCViS0qCdetgwQLLq/aFi4iz0/JyERERkQIuvVrgYJkNDw62BN4pl6FvNTVni9Hc7lq1+JsreOBLFIP4hEF8Qjyu/MJ9LOchvqIHUfgClmuZTJaZ8M6dYelSCAmxD859fS33t9YKFxFxNprpFhEREZE0E7FB5pKxWX1DEGU4SyArmMrzHOAu3EigLWsIYwR1+cPWtxTnKGJcUVkyEcnXFHSLiIiISIbSKkuWcvm5VRyFWUUgw5hKVfZTjX0MYzI/8iBraWPr9yITOUsZVtKey+MmU83YCxh293VUlkzLz0XEmWh5uYiIiIhkinU2/EaOlp+D9b2J/VRjKtWYyjC78+rwJ4WJoz2raZ+wmvcI5TD+/EgHVvAgy3mIJArZlSX7+GMtPxcR56KZbhERERG5LektP//qq9Qz4VYd+YGa7OFlt0mspi1xuHEnEQxmJp8wkOQU/6nqwzFGjzYyXH6umXARyWs00y0iIiIit82ajG3t2kR+/HEXHTrUo02bQrbSZI5nwk3spQaPvlqD9qND8eAKbVhLB37kEsUxbEG3wTaaYMJgJYGsJJDVtOMsXnbJ2JKTLSXONBMuInmJZrpFREREJEuYzdCqlcF990XRqpVhS8aW2bJkV01FWUZHhjKdUbxj61eJI5TgIt6coD/zWEBvTlGObTRmHK/SwPiNyEhUlkxE8iTNdIuIiIhItruVsmRgeX/E8Kc052jJRgJZyYOsoA67acxvNOY33IhnB40AcOcad3CU/VQFTCpLJiK5TjPdIiIiIpIjbqcsWTzu/MwDjOQ96vIn3hynL/P4gj58xyO2/q1Yz7/czSEq8xGD6M5XlDLOqiyZiOQazXSLiIiISJ6Q1mw4WLKWR0VdnwU/gTef05fP6Wt3jbs4aEvINohPGMQnJGNiJw1Y+2Y7fI1nieQOu3NunA2HtGfkRURulma6RURERCTPcDQbbjZbln9D6izoN76fyWBKc44OLCeM4eymNi4YNGIHLya9Q3Eu2frWZjd1+AMTyXZlyfz9oU0b6N3b8urvr1lwEbl1CrpFREREJM+7mbJksRRlBR0YQRh12I0PUTzlPo8ZPMseatrOfYW3+YN6nKACC3iUJ/mEz0ZHqCyZiGQpLS8XEREREaeQXjK2tMuSQTQV8X2lL0NG2y9Fj8OdyxSlHKd5lEU8yiIADnAXq2jPUD7EwEVlyUTktmimW0REREScRlrJ2DJblizlcvQBzP0vK/oGxjCajbQgETNVOEhjtqeoEw5DjA+4J3IZA7pfUlkyEbkpmukWERERkXzhVsqSJeDGJlNLfjVaMpYxFCeG+/gFE9eny4tymTBCcSWRRMxsowlreICfuZ/NNCfOKKyyZCKSJs10i4iIiEi+cTtlyQAu4ckyOvIDnWzHi3GZOQzgIJUpRBL3spnXGcda7ucCJRnDaFsitjFjMleWTDPhIgWHZrpFREREpMC4mbJkViepwNN8BEAlIrifn3mANdzPz3hzgjN42fp+Oe4QyxnMWtqwljbspAFJFNK+cJECTEG3iIiIiBQo1tnwGzlafg7274/gzxyeYA5PAAZ3s4+zlLH1vZ+feZCVPMhKAC7iyQYCWEdr1hpt2BVZj+7dUxf9ts6Eh4dbAu+kJNUKF8kvtLxcRERERISbK0tmYWIf1TlDWUwmKF0a1vAAIUzhWzpzgRKUIIaOLON9XmQHjXiYZbazPbiCC5Z15dagftgwyxhUK1wk/1DQLSIiIiLyn6AgiIiAtWth/nzL6+HD0L27ZSYcbgy8r78PCYEI7mQaIXTlW8pwlgbsIJRJfEcnzlGKDQTYznuZdzhLGb6jEyN4nwbGbxyPTKR794z3hIP2hYs4Cy0vFxERERFJIa3l59aZcEeZyadMsewVT7kvPBkzv9OA32nAZEIxkWxXhqwpWynJRTrxA534AYAYirORlqynFdN4nmsUAbDbE64M6SLORTPdIiIiIiKZlNZMeFCQJVhPbzbcuOE/vR9iOY3Yzgje5zs6cZ6SeHKJh/iRkbxLHO62vo+wlBbGBk5FXmP8eGVIF3EmmukWEREREbkJac2EQ/qz4ZMmQWjo9ZnwJAqxg0bsoBFhjMCFJOrwJ61YTxGu2gXp03ieShzlGu5sG92UsdzHL9zHZppzhWIAypAukkcp6BYRERERyUJplSUzmy1faWVITzbM7KI+u6hvd73CXGULzXAnjgqc/C/c/gWARMzMpzf9+B+ArV549+6px6UM6SK5Q0G3iIiIiEgWu5V94TfOhFtdowiPsggTBvWLH6DeJUvQ3Yr1+HOEi5Sw9XXnGltoxlaasoEANhDAUSoBmgkXyS0KukVEREREctCtzoSDic4vVGX06Kp8xpMA+HEUE9c7NmEb9fiDevzB03wEwFH82EhLNhDASiOQw5GVMzUTDpoNF8kKTpdIbfr06fj7+1O4cGGaNm3Ktm3b0uy7ZMkSGjVqRMmSJSlatCj16tXj888/z8HRioiIiIikZp0J79XL8moNZNOrFR4eDq++al8vPJI7bDPZAH9Qly58wyRC2UZjEjFzB5H0ZgEzGUxnltr6luEMLdmAO9cA+1rhSUmWhGyqFy5y+5xqpnvRokWEhoYya9YsmjZtypQpUwgMDGTfvn2UK1cuVf/SpUvz6quvUr16ddzc3Pjhhx8YMGAA5cqVIzAwMBc+gYiIiIhI+tKbCQfLEvC0ZsNjjBIspQtL6QJAUS7TlK20ZCMt2ch6Wtn6P8Ry/kc/4nBjBw35lRb8arTg18gWjB9fljFj7K8P2hcuciucaqY7LCyMQYMGMWDAAGrWrMmsWbPw8PDgs88+c9i/devWdO3alRo1anDXXXcREhJCnTp12LhxYw6PXEREREQk89KaCYf0Z8O/+sp+JvwKxfiZB3iT0bRnNb/TwNbfg1hOUB534rmXzbzI+3xLV05TjkdHV6Ou8XuqcaWcDQ8P10y4SGY4zUx3fHw8O3bsYNSoUbY2FxcX2rZty+bNmzM83zAMfv75Z/bt28e7776bZr+4uDji4uJs72NiYgBISEggISHhNj5B9rGOK6+OT/IGPSeSET0jkhE9I5IZek5yRqdO8NBDsHGjyTbL3LKlgdkMhmHi0UfN/82EXy8YbjIZ/wXNlrbZPMNsnqYyh2hhmeemBb9Sm7+pxn6iuB7VDyeM+/mZTdzLJuNetkc2pnt3D+uVbf2iogyCg2HhwiS6djVISko9xuRkPSOSMWf4XZLZsZkM48ZFI3nT8ePH8fHxYdOmTTRv3tzW/tJLL7F+/Xq2bt3q8LyLFy/i4+NDXFwcZrOZGTNm8MQTT6R5nzFjxjB27NhU7fPnz8fDw8PBGSIiIiIiecvmzd588sk9nD1bxNbm5RXLgAF/8dln93D2bGFSBsvXGfgVPUnVK3/zMw/YWlfSnvastr1PxMzv1LcE4dzLEoJIxNV2DS+vqynudX0MZcpcZeDA3TRvHg1Ylqfv2VOG8+cLU6rUNWrWPKvl6eI0YmNj6d27NxcvXsTT0zPNfvk+6E5OTubQoUNcvnyZNWvW8NZbb/Htt9/S2lENBxzPdPv5+XHmzJl0f5C5KSEhgdWrV9OuXTtcXV0zPkEKJD0nkhE9I5IRPSOSGXpO8g5Hs8xmM3zzjWUmHFLPhAO8/noyb75pH/nW43fu4xfuZRMt+BVfomzHLuJJac6RjOWcDiznPKXYSX3icSdlcG+9x0svbadu3bq8+KIbUVHXj/v4GISFWWbJpWBzht8lMTExeHl5ZRh0O83yci8vL8xmMydPnrRrP3nyJBUqVEjzPBcXF6pUqQJAvXr1+Oeff5gwYUKaQbe7uzvu7u6p2l1dXfPsP7aVM4xRcp+eE8mInhHJiJ4RyQw9J7nP1RXatk3d3qMHFCrkqFa4iSlToHNnM599Zl8vfBf12UV9phFi6Uvkf3PcmzBh2AJugA94jrs4RBxu7KQBm2lu+4oyfDGZDGbMqMvly252QT/A8eMmHn20kMqWiU1e/l2S2XE5TSI1Nzc3GjZsyJo1a2xtycnJrFmzxm7mOyPJycl2M9kiIiIiIgVNUBBERMDatTB/vuX18GFLu9lsyZAO1xOyWVnfH8OPr+jJMKYSwjTbcVfi+YvanKIs7sTTnC2EMpnF9OAYfqykPYZh4tIldwwDCmG/J1ZlyyQ/cpqZboDQ0FD69etHo0aNaNKkCVOmTOHKlSsMGDAAgL59++Lj48OECRMAmDBhAo0aNeKuu+4iLi6O5cuX8/nnnzNz5szc/BgiIiIiIrnOmiHdEWuG9NSz4TBpEoSG2s+EWyXgRheWAgaVOWSb427GFuryB4eobOvrRjxn8GIv1dlCM7bSlC0046BxF5GRJsaPR2XLJF9wqqC7Z8+enD59mjfeeIMTJ05Qr149VqxYQfny5QE4evQoLi7XJ++vXLnC4MGDOXbsGEWKFKF69ep88cUX9OzZM7c+goiIiIiIU0ivXrjZnHatcGuG9EPcxSHu4kseA8CDKxTliq1vHf7k/+3de3zT9d3//2fSpilFSkWk5VApinJQaLFYVrgGqMUqDsV5OTxcwoWIJ6qy6jaYm4jwXXVyIV6M0QlDdjEVdB5/iigWyjyA1UK1IDJRTiotMIRCi22afH5/1MSkTZuk9tM07eO+W27J5533J3mFvvwsr7zfn/eni07qIn2ki/SR7tafJElHdIaKlKGn50+VYVzXIC7DqHufmTMll0v65S8b/jDwxBM/TE8Hwi2iim5JysnJUU5Ojt/nCgsLfbbnz5+v+fPnt0JUAAAAQPvT2Gh4c0bCq9RZVeosyZBk0Ucarr7aq59oizK1WSP0gS7UVnXXvzVeb6jQ8cMbJ2u/5ut3+kAjVKQMfWyk6sCBGF3XsCZnJBxtTsQV3QAAAADC78eMhHfpUq2TJ2O03+ir/eqr51Q3E9WmGqXpY42O2aK1NT9csmyU3tNkrdJkrZIkVStG2zTMU4S/rSwdUt3s1+aMhFOYw0wRs5AaAAAAgLbFPRJ+ww119+5C1T0S3ru3b/8+faQ1a5y6666PJTVcqK3WEqOPLBcp/oG7tVODPe2faKjm6CGt1RU6ojNkV41+og90r/5XT+u/NErvefqeq3/pZ8archw4qOuu8y24pR9Gwt2LsbFYG8zGSDcAAACAFtfYSLjLZchuP6jVq526777oBqPQdZctk5Yt+2GK+qc6Xw/r/O971S3SlqEijdAHylCRipTheY1f6DnN1+8lSQfUR0XK0Ie6SEXKULHSVWF09RkJ/8UvWKwN5qLoBgAAAGAKf+eEu1x199dcY+jaaxsvZp94orEp6hZ9adQt0rZaNzR4z+PqqlJdoPO1Q8n6Ssn6Stfqh2HrwdqhncZgHTggzb6lXLFGF51SnM9rsFgbWhLTywEAAACERWPT06Wmp6g/91zdff3p6ZL0J92toSpVvCo0Wpt0vx7Tc7pOe5SiKnXSv3Sep+8DJ36jE+qijzVUyzVNd2iphutDxahahiEdOKCgpqg7nVJhofTss3X3TmcL/OOg3WCkGwAAAECb9GMWa6vUaXpHo/WORnuei9dxOb1KoL7apyi5NFSlGqpSTdMKSVKNbPpYqcrUZq/+dauuSyzWhtBQdAMAAABos1rysmUV6iqprmDu3l265PAG9dI3ukgf6iJ9qHQVa7g+Unf9W51V6VOgr9c4xatCxUqvuxnp2n7gAl13na1BbPXPCX/xRf9xMkW9Y6DoBgAAABCRmjsSLklLlki5uRZ9/XVvvWL01iua+H0PQ321T2fqsGcfq5zK1GZ1VpUy9KGnvVox+kRD9aay9XvN97TXHwlnsbaOjaIbAAAAQMRqzkj4okV1z/svzC3ab0nRPiPFs49LVqXqY/cYt+eWoOO6SB+pTEle72zoTWVrn9FXxQfStXTqhYoxhqpasT7xsVhbx0HRDQAAAKBdamok3P18cFPULfpC/fWF+us5Tfq+V92ly9JVrG91umffnjqoy7RekjRdy6WTUq2itEPna6su1Ku6Si/rmrpX8FqsrT5GwtsPim4AAAAA7VZjI+FuzV+szaIvVXfpMm8Vite1+ofSVawLtVXpKtaZOqJUfaJUfaJjSvAU3V1Uob/odm3TMG3VhdqmYTqqMySxWFt7QtENAAAAoENrycXaKnWaXtS1eslyrbp3lw4fNtRbX3sK8EL98EZpKtENWq0btNrTtl/J2qZh2qZhesW4WiUHhgU1Es5ibW0XRTcAAAAANKJlFmvro6+NPvr/dJXPa+/XWZqlPF2orRqmbTpXu3WWDugsHdDVelWHdaZKNEySdK7+pdv1F23TMJUoTZ8ZA+WyRLNYWwSg6AYAAACAJrT8Ym112/uMFD2qWZ62eB3XUH3y/Tj3Nr2nUZ7n/kPv6j4t9Gx/J7u2Gxeo5ECaNt+Upj7GVTqgs3ziC3WKOkW5OSi6AQAAAKCZWm6xtrrriL+rn+pd/bTB++zUIC1WjoZpm4bqE8XrhIarWMNVLNVI23Wup+geqfd0iTboY6XqYyNV+w+cpeuuszR4Te+RcInp6Wah6AYAAACAH8G8xdp+2N6iTG1RZt1zcqmf9ihNJZ7btu+noUvSlXpdv1WeZ/tbJdQV4EpVidL0sibqmE73jITfdpt09Gjg6ekSo+HNQdENAAAAACZrycXaDFn1pc7RHss5eqf7tTp82Pc1i5Sh/9PNStXHGqxPdbqOaaw2aaw2SZI2aYyOfX+Zs6uMlzXw35/pEw3Vx0rVN+olqW5U3Ht6+tVXS6+8Eng0nKK8IYpuAAAAAAijH79Ym29h/oom6hVNlCTFqFqDtPP7ce6PNUC7tFcpnte5Qc9qkp7zbB/RGfpEQz23Z4wbdeBArP7f/5Meeqjp0XCJKer+UHQDAAAAQJiZtVhbjWHXx0rTx0rz+75v6TI5FeUpyLvr37pEG3WJNqpaMVqlmyVJc+dKdxh/1hn6tz7RUJVqiPYqRYZhDWmKekccCafoBgAAAIA2rCUXa6tvhaZphaZJkuz6ToP1qVL1sYaoVJ1VqVrZJNWtfn6rlutCbfPse0KnaYfOV6kxRCX/TtOfNaPB64e6grpUV5hv2mTRP//ZW507W3TxxZFdmFN0AwAAAEAbZ+ZibWecUTdKXW3Eapsu1DZd6NOna1fp2DHpKU1VqYYoVR9rkHaqi07qJ/pAP9EH+pfO9Sm6F+g+GbKoVEO03bhAnx4YrOuu69Qg7voj4S++6P7xIFrScC1cGPlT1Cm6AQAAAKAdaO4Udanp88Z/+UtpzhzpT7rb81y0HDpXn2uISjVUn+iEuni9o6FbtVxdVeFpccqq3eqv7bpAmzRGi3VPXc96I+G/+EVwq6hHEopuAAAAAGjnAk1Rb6oov/pqadky3ynqtbJppwZrpwbrOU3yea9o1ep+LdAQleoCbdcQlepMHdEA/UsD9C/F6jtP0S1JbxuX6OCBniq98QJdaVyg7bpA+9RXhqySGq6iHmlTzSm6AQAAAKADaGqKeqCi/Ikngpuibhh1BflyTfd6dUM9dEhDVKohKtUBJXue6a7DukQb6zYcP+zxqQbpfH36wysY0oEDdfE1Nc2+LaLoBgAAAAAELMqbO0XdMCw6pEQVKFEFyvJ53Up11gS9qrrx7brbQH2mPernN46DB5v/+cKFohsAAAAAEFBzp6g3tYL6KcXpdcsEfdB9gg4frmuLUq0SdMxvDD17tvznMhtFNwAAAAAgKM2dot7UCuqStGTJD4W504jWv9Xd57UtlroC/qc/NedzmYmiGwAAAADQIpq7gvrPfx64MF+0KPIWUZP0/XJwAAAAAACY6Oc/l/bulTZulJ55pu5+z54fLgPmLsx79/bdr0+fyL1cmMRINwAAAACglTQ1PV36YYr6xo21euONEl1xRZouvjg6Ike43Si6AQAAAABtRlSUNGaMocrKrzVmTGpEF9wS08sBAAAAADANRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk0SHO4C2zjAMSVJFRUWYI2mcw+FQVVWVKioqZLPZwh0O2ijyBIGQIwiEHEEwyBMEQo4gGJGQJ+4a0V0zNoaiO4ATJ05IkpKTk8McCQAAAACgrTlx4oS6du3a6PMWI1BZ3sG5XC5988036tKliywWS7jD8auiokLJyck6cOCA4uPjwx0O2ijyBIGQIwiEHEEwyBMEQo4gGJGQJ4Zh6MSJE+rVq5es1sbP3GakOwCr1ao+ffqEO4ygxMfHt9mERNtBniAQcgSBkCMIBnmCQMgRBKOt50lTI9xuLKQGAAAAAIBJKLoBAAAAADAJRXc7YLfbNWfOHNnt9nCHgjaMPEEg5AgCIUcQDPIEgZAjCEZ7yhMWUgMAAAAAwCSMdAMAAAAAYBKKbgAAAAAATELRDQAAAACASSi6I8SSJUuUkpKi2NhYjRgxQkVFRU32f/755zVw4EDFxsZqyJAhWrt2bStFinAKJU9Wrlwpi8Xic4uNjW3FaNHa/vnPf2rChAnq1auXLBaLXn755YD7FBYW6sILL5Tdblf//v21cuVK0+NE+ISaI4WFhQ2OIxaLRWVlZa0TMFpdXl6eLrroInXp0kU9evTQxIkTtWvXroD78b2k42hOjvCdpONZunSphg4d6rkGd2Zmpt54440m94nk4whFdwRYs2aNcnNzNWfOHG3dulWpqanKzs7WoUOH/PZ///33dcMNN2jatGnatm2bJk6cqIkTJ2r79u2tHDlaU6h5Iknx8fE6ePCg57Zv375WjBitrbKyUqmpqVqyZElQ/ffs2aMrr7xSF198sUpKSjRz5kzdeuutevPNN02OFOESao647dq1y+dY0qNHD5MiRLht2rRJM2bM0JYtW7R+/Xo5HA5ddtllqqysbHQfvpd0LM3JEYnvJB1Nnz599Mgjj6i4uFgfffSRLrnkEl199dXasWOH3/4Rfxwx0OZlZGQYM2bM8Gw7nU6jV69eRl5ent/+v/jFL4wrr7zSp23EiBHG7bffbmqcCK9Q8+Spp54yunbt2krRoa2RZLz00ktN9vn1r39tnH/++T5tkyZNMrKzs02MDG1FMDmyceNGQ5Lx7bfftkpMaHsOHTpkSDI2bdrUaB++l3RsweQI30lgGIZx+umnG8uXL/f7XKQfRxjpbuNqampUXFysrKwsT5vValVWVpY2b97sd5/Nmzf79Jek7OzsRvsj8jUnTyTp5MmT6tu3r5KTk5v8dREdE8cSBCstLU09e/bUuHHj9N5774U7HLSi48ePS5K6devWaB+OJR1bMDki8Z2kI3M6nVq9erUqKyuVmZnpt0+kH0coutu4I0eOyOl0KjEx0ac9MTGx0XPmysrKQuqPyNecPBkwYIBWrFihV155RX//+9/lcrk0cuRIffXVV60RMiJAY8eSiooKnTp1KkxRoS3p2bOn8vPz9cILL+iFF15QcnKyxo4dq61bt4Y7NLQCl8ulmTNnatSoUbrgggsa7cf3ko4r2BzhO0nHVFpaqtNOO012u1133HGHXnrpJQ0ePNhv30g/jkSHOwAA4ZGZmenza+LIkSM1aNAg/eUvf9G8efPCGBmASDFgwAANGDDAsz1y5Eh98cUXevzxx7Vq1aowRobWMGPGDG3fvl3vvvtuuENBGxVsjvCdpGMaMGCASkpKdPz4cf3jH//QlClTtGnTpkYL70jGSHcb1717d0VFRam8vNynvby8XElJSX73SUpKCqk/Il9z8qQ+m82mYcOGaffu3WaEiAjU2LEkPj5enTp1ClNUaOsyMjI4jnQAOTk5eu2117Rx40b16dOnyb58L+mYQsmR+vhO0jHExMSof//+Sk9PV15enlJTU/XEE0/47RvpxxGK7jYuJiZG6enpKigo8LS5XC4VFBQ0es5DZmamT39JWr9+faP9Efmakyf1OZ1OlZaWqmfPnmaFiQjDsQTNUVJSwnGkHTMMQzk5OXrppZe0YcMG9evXL+A+HEs6lubkSH18J+mYXC6Xqqur/T4X8ceRcK/khsBWr15t2O12Y+XKlcann35q3HbbbUZCQoJRVlZmGIZh3HzzzcasWbM8/d977z0jOjraWLBggbFz505jzpw5hs1mM0pLS8P1EdAKQs2TuXPnGm+++abxxRdfGMXFxcb1119vxMbGGjt27AjXR4DJTpw4YWzbts3Ytm2bIclYuHChsW3bNmPfvn2GYRjGrFmzjJtvvtnT/8svvzTi4uKMX/3qV8bOnTuNJUuWGFFRUca6devC9RFgslBz5PHHHzdefvll4/PPPzdKS0uNe++917Barcbbb78dro8Ak915551G165djcLCQuPgwYOeW1VVlacP30s6tubkCN9JOp5Zs2YZmzZtMvbs2WN88sknxqxZswyLxWK89dZbhmG0v+MIRXeEWLx4sXHWWWcZMTExRkZGhrFlyxbPc2PGjDGmTJni0/+5554zzjvvPCMmJsY4//zzjddff72VI0Y4hJInM2fO9PRNTEw0xo8fb2zdujUMUaO1uC/vVP/mzospU6YYY8aMabBPWlqaERMTY5x99tnGU0891epxo/WEmiOPPvqocc455xixsbFGt27djLFjxxobNmwIT/BoFf7yQ5LPsYHvJR1bc3KE7yQdzy233GL07dvXiImJMc4880zj0ksv9RTchtH+jiMWwzCM1htXBwAAAACg4+CcbgAAAAAATELRDQAAAACASSi6AQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJiEohsAAAAAAJNQdAMAAAAAYBKKbgAAAAAATELRDQAAAACASSi6AQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJiEohsAAAAAAJNQdAMAAAAAYBKKbgAAAAAATELRDQAAAACASSKu6F6yZIlSUlIUGxurESNGqKioqNG+K1eulMVi8bnFxsa2YrQAAAAAgI4sooruNWvWKDc3V3PmzNHWrVuVmpqq7OxsHTp0qNF94uPjdfDgQc9t3759rRgxAAAAAKAji6iie+HChZo+fbqmTp2qwYMHKz8/X3FxcVqxYkWj+1gsFiUlJXluiYmJrRgxAAAAAKAji5iiu6amRsXFxcrKyvK0Wa1WZWVlafPmzY3ud/LkSfXt21fJycm6+uqrtWPHjtYIFwAAAAAARYc7gGAdOXJETqezwUh1YmKiPvvsM7/7DBgwQCtWrNDQoUN1/PhxLViwQCNHjtSOHTvUp08fv/tUV1erurras+1yuXT06FGdccYZslgsLfeBAAAAAAARyzAMnThxQr169ZLV2vh4dsQU3c2RmZmpzMxMz/bIkSM1aNAg/eUvf9G8efP87pOXl6e5c+e2VogAAAAAgAh24MCBRgd1pQgqurt3766oqCiVl5f7tJeXlyspKSmo17DZbBo2bJh2797daJ/Zs2crNzfXs338+HGdddZZ2rNnj7p06dK84E3mcDi0ceNGXXzxxbLZbOEOB20UeYJAyBEEQo4gGOQJAiFHEIxIyJMTJ06oX79+AevEiCm6Y2JilJ6eroKCAk2cOFFS3dTvgoIC5eTkBPUaTqdTpaWlGj9+fKN97Ha77HZ7g/Zu3bopPj6+WbGbzeFwKC4uTmeccUabTUiEH3mCQMgRBEKOIBjkCQIhRxCMSMgTd1yBTkOOmKJbknJzczVlyhQNHz5cGRkZWrRokSorKzV16lRJ0uTJk9W7d2/l5eVJkh5++GH95Cc/Uf/+/XXs2DE99thj2rdvn2699dZwfgwAAAAAQAcRUUX3pEmTdPjwYT344IMqKytTWlqa1q1b51lcbf/+/T4nsH/77beaPn26ysrKdPrppys9PV3vv/++Bg8eHK6PAAAAAADoQCKq6JaknJycRqeTFxYW+mw//vjjevzxx1shKgAAAAAAGoqY63QDAAAAABBpKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwAAAABgEopuAAAAAABMEnFF95IlS5SSkqLY2FiNGDFCRUVFQe23evVqWSwWTZw40dwAAQAAAAD4XkQV3WvWrFFubq7mzJmjrVu3KjU1VdnZ2Tp06FCT++3du1f333+/fvrTn7ZSpAAAAAAARFjRvXDhQk2fPl1Tp07V4MGDlZ+fr7i4OK1YsaLRfZxOp2666SbNnTtXZ599ditGCwAAAADo6KLDHUCwampqVFxcrNmzZ3varFarsrKytHnz5kb3e/jhh9WjRw9NmzZN77zzTsD3qa6uVnV1tWe7oqJCkuRwOORwOH7EJzCPO662Gh/aBvIEgZAjCIQcQTDIEwRCjiAYkZAnwcYWMUX3kSNH5HQ6lZiY6NOemJiozz77zO8+7777rv7617+qpKQk6PfJy8vT3LlzG7S/9dZbiouLCynm1rZ+/fpwh4AIQJ4gEHIEgZAjCAZ5gkDIEQSjLedJVVVVUP0ipugO1YkTJ3TzzTdr2bJl6t69e9D7zZ49W7m5uZ7tiooKJScn67LLLlN8fLwZof5oDodD69ev17hx42Sz2cIdDtoo8gSBkCMIhBxBMMgTBEKOIBiRkCfuWdGBREzR3b17d0VFRam8vNynvby8XElJSQ36f/HFF9q7d68mTJjgaXO5XJKk6Oho7dq1S+ecc06D/ex2u+x2e4N2m83WZv/YbpEQI8KPPEEg5AgCIUcQDPIEgZAjCEZbzpNg44qYhdRiYmKUnp6ugoICT5vL5VJBQYEyMzMb9B84cKBKS0tVUlLiuV111VW6+OKLVVJSouTk5NYMHwAAAADQAUXMSLck5ebmasqUKRo+fLgyMjK0aNEiVVZWaurUqZKkyZMnq3fv3srLy1NsbKwuuOACn/0TEhIkqUE7AAAAAABmiKiie9KkSTp8+LAefPBBlZWVKS0tTevWrfMsrrZ//35ZrREzeA8AAAAAaOciquiWpJycHOXk5Ph9rrCwsMl9V65c2fIBAQAAAADQCIaFAQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJiEohsAAAAAAJNQdAMAAAAAYBKKbgAAAAAATELRDQAAAACASSi6AQAAAAAwCUU3AAAAAAAmoegGAAAAAMAkFN0AAAAAAJiEohsAAAAAAJNQdAMAAAAAYBKKbgAAAAAATELRDQAAAACASSi6AQAAAAAwCUU3AAAAAAAmaVbR/c477+i//uu/lJmZqa+//lqStGrVKr377rstGhwAAAAAAJEs5KL7hRdeUHZ2tjp16qRt27apurpaknT8+HH94Q9/aPEAAQAAAACIVCEX3fPnz1d+fr6WLVsmm83maR81apS2bt3aosEBAAAAABDJQi66d+3apdGjRzdo79q1q44dO9YSMQEAAAAA0C6EXHQnJSVp9+7dDdrfffddnX322S0SFAAAAAAA7UHIRff06dN177336oMPPpDFYtE333yjp59+Wvfff7/uvPNOM2L0sWTJEqWkpCg2NlYjRoxQUVFRo31ffPFFDR8+XAkJCercubPS0tK0atUq02MEAAAAAECSokPdYdasWXK5XLr00ktVVVWl0aNHy2636/7779fdd99tRowea9asUW5urvLz8zVixAgtWrRI2dnZ2rVrl3r06NGgf7du3fTAAw9o4MCBiomJ0WuvvaapU6eqR48eys7ONjVWAAAAAABCHum2WCx64IEHdPToUW3fvl1btmzR4cOHNW/ePDPi87Fw4UJNnz5dU6dO1eDBg5Wfn6+4uDitWLHCb/+xY8fqmmuu0aBBg3TOOefo3nvv1dChQ7m0GQAAAACgVYQ80n38+HE5nU5169ZNgwcP9rQfPXpU0dHRio+Pb9EA3WpqalRcXKzZs2d72qxWq7KysrR58+aA+xuGoQ0bNmjXrl169NFHG+1XXV3tuQyaJFVUVEiSHA6HHA7Hj/gE5nHH1VbjQ9tAniAQcgSBkCMIBnmCQMgRBCMS8iTY2CyGYRihvPAVV1yhCRMm6K677vJpz8/P16uvvqq1a9eG8nJB++abb9S7d2+9//77yszM9LT/+te/1qZNm/TBBx/43e/48ePq3bu3qqurFRUVpT//+c+65ZZbGn2fhx56SHPnzm3Q/swzzyguLu7HfxAAAAAAQMSrqqrSjTfeqOPHjzc5+BzySPcHH3yghQsXNmgfO3asHnjggVBfznRdunRRSUmJTp48qYKCAuXm5urss8/W2LFj/fafPXu2cnNzPdsVFRVKTk7WZZddZtoo/o/lcDi0fv16jRs3zufa6YA38gSBkCMIhBxBMMgTBEKOIBiRkCfuWdGBhFx0V1dXq7a2tkG7w+HQqVOnQn25oHXv3l1RUVEqLy/3aS8vL1dSUlKj+1mtVvXv31+SlJaWpp07dyovL6/Rottut8tutzdot9lsbfaP7RYJMSL8yBMEQo4gEHIEwSBPEAg5gmC05TwJNq6QF1LLyMjQk08+2aA9Pz9f6enpob5c0GJiYpSenq6CggJPm8vlUkFBgc9080BcLpfPOdsAAAAAAJgl5JHu+fPnKysrSx9//LEuvfRSSVJBQYE+/PBDvfXWWy0eoLfc3FxNmTJFw4cPV0ZGhhYtWqTKykpNnTpVkjR58mT17t1beXl5kqS8vDwNHz5c55xzjqqrq7V27VqtWrVKS5cuNTVOAAAAAACkZhTdo0aN0ubNm/XYY4/pueeeU6dOnTR06FD99a9/1bnnnmtGjB6TJk3S4cOH9eCDD6qsrExpaWlat26dEhMTJUn79++X1frD4H1lZaXuuusuffXVV+rUqZMGDhyov//975o0aZKpcQIAAAAAIDWj6Jbqzo1++umnWzqWoOTk5CgnJ8fvc4WFhT7b8+fP1/z581shKgAAAAAAGmpW0e1yubR7924dOnRILpfL57nRo0e3SGAAAAAAAES6kIvuLVu26MYbb9S+fftU/xLfFotFTqezxYIDAAAAACCShVx033HHHRo+fLhef/119ezZUxaLxYy4AAAAAACIeCEX3Z9//rn+8Y9/eK59DQAAAAAA/Av5Ot0jRozQ7t27zYgFAAAAAIB2JeSR7rvvvlv33XefysrKNGTIENlsNp/nhw4d2mLBAQAAAAAQyUIuuq+99lpJ0i233OJps1gsMgyDhdQAAAAAAPASctG9Z88eM+IAAAAAAKDdCbno7tu3rxlxAAAAAADQ7oS8kJokrVq1SqNGjVKvXr20b98+SdKiRYv0yiuvtGhwAAAAAABEspCL7qVLlyo3N1fjx4/XsWPHPOdwJyQkaNGiRS0dHwAAAAAAESvkonvx4sVatmyZHnjgAUVFRXnahw8frtLS0hYNDgAAAACASBZy0b1nzx4NGzasQbvdbldlZWWLBAUAAAAAQHsQctHdr18/lZSUNGhft26dBg0a1BIxAQAAAADQLoS8enlubq5mzJih7777ToZhqKioSM8++6zy8vK0fPlyM2IEAAAAACAihVx033rrrerUqZN+97vfqaqqSjfeeKN69eqlJ554Qtdff70ZMQIAAAAAEJFCKrpra2v1zDPPKDs7WzfddJOqqqp08uRJ9ejRw6z4AAAAAACIWCGd0x0dHa077rhD3333nSQpLi6OghsAAAAAgEaEvJBaRkaGtm3bZkYsAAAAAAC0KyGf033XXXfpvvvu01dffaX09HR17tzZ5/mhQ4e2WHAAAAAAAESykItu92Jp99xzj6fNYrHIMAxZLBY5nc6Wiw4AAAAAgAgWctG9Z88eM+IAAAAAAKDdCbno7tu3rxlxAAAAAADQ7oS8kJokrVq1SqNGjVKvXr20b98+SdKiRYv0yiuvtGhw/ixZskQpKSmKjY3ViBEjVFRU1GjfZcuW6ac//alOP/10nX766crKymqyPwAAAAAALSnkonvp0qXKzc3V+PHjdezYMc853AkJCVq0aFFLx+djzZo1ys3N1Zw5c7R161alpqYqOztbhw4d8tu/sLBQN9xwgzZu3KjNmzcrOTlZl112mb7++mtT4wQAAAAAQGpG0b148WItW7ZMDzzwgKKiojztw4cPV2lpaYsGV9/ChQs1ffp0TZ06VYMHD1Z+fr7i4uK0YsUKv/2ffvpp3XXXXUpLS9PAgQO1fPlyuVwuFRQUmBonAAAAAABSMxdSGzZsWIN2u92uysrKFgnKn5qaGhUXF2v27NmeNqvVqqysLG3evDmo16iqqpLD4VC3bt0a7VNdXa3q6mrPdkVFhSTJ4XDI4XA0M3pzueNqq/GhbSBPEAg5gkDIEQSDPEEg5AiCEQl5EmxsIRfd/fr1U0lJSYMF1datW6dBgwaF+nJBO3LkiJxOpxITE33aExMT9dlnnwX1Gr/5zW/Uq1cvZWVlNdonLy9Pc+fObdD+1ltvKS4uLrSgW9n69evDHQIiAHmCQMgRBEKOIBjkCQIhRxCMtpwnVVVVQfULuejOzc3VjBkz9N1338kwDBUVFenZZ59VXl6eli9fHnKgreWRRx7R6tWrVVhYqNjY2Eb7zZ49W7m5uZ7tiooKz7ng8fHxrRFqyBwOh9avX69x48bJZrOFOxy0UeQJAiFHEAg5gmCQJwiEHEEwIiFP3LOiAwm56L711lvVqVMn/e53v1NVVZVuvPFG9erVS0888YSuv/76kAMNVvfu3RUVFaXy8nKf9vLyciUlJTW574IFC/TII4/o7bff1tChQ5vsa7fbZbfbG7TbbLY2+8d2i4QYEX7kCQIhRxAIOYJgkCcIhBxBMNpyngQbV1ALqb366qs+89Vvuukmff755zp58qTKysr01Vdfadq0ac2LNEgxMTFKT0/3WQTNvShaZmZmo/v98Y9/1Lx587Ru3ToNHz7c1BgBAAAAAPAWVNF9zTXX6NixY5KkqKgozyW64uLi1KNHD9OCqy83N1fLli3T3/72N+3cuVN33nmnKisrNXXqVEnS5MmTfRZae/TRR/X73/9eK1asUEpKisrKylRWVqaTJ0+2WswAAAAAgI4rqOnlZ555prZs2aIJEybIMAxZLBaz4/Jr0qRJOnz4sB588EGVlZUpLS1N69at8yyutn//flmtP/yOsHTpUtXU1Og///M/fV5nzpw5euihh1ozdAAAAABABxRU0X3HHXfo6quvlsVikcViafIcaqfT2WLB+ZOTk6OcnBy/zxUWFvps792719RYAAAAAABoSlBF90MPPaTrr79eu3fv1lVXXaWnnnpKCQkJJocGAAAAAEBkC6rofvXVV3XFFVdo4MCBmjNnjq677ro2f81qAAAAAADCLeSF1B5++GEWIgMAAAAAIAhBFd3uhdQkhXUhNQAAAAAAIknELaQGAAAAAECkYCE1AAAAAABMElTRLUkDBw5kITUAAAAAAEIQdNHtNmfOHDPiAAAAAACg3Qmq6L7wwgtVUFCg008/XcOGDWtyIbWtW7e2WHAAAAAAAESyoIruq6++Wna7XZI0ceJEM+MBAAAAAKDdCKro9p5SzvRyAAAAAACCE/I53YZhqLi4WHv37pXFYlG/fv0CTjkHAAAAAKAjCqno3rhxo6ZNm6Z9+/bJMAxJ8hTeK1as0OjRo00JEgAAAACASGQNtuPu3bv1s5/9TCkpKXrxxRe1c+dOffrpp3r++efVp08fjR8/Xl9++aWZsQIAAAAAEFGCHuletGiRfvKTn6igoMCnfeDAgbrmmmuUlZWlxx9/XIsXL27xIAEAAAAAiERBj3QXFhZq5syZfp+zWCyaOXOmNm7c2FJxAQAAAAAQ8YIuuvfv368hQ4Y0+vwFF1ygffv2tUhQAAAAAAC0B0EX3SdPnlRcXFyjz8fFxamqqqpFggIAAAAAoD0IafXyTz/9VGVlZX6fO3LkSIsEBAAAAABAexFS0X3ppZd6LhXmzWKxyDAMrtUNAAAAAICXoIvuPXv2mBkHAAAAAADtTtBFd9++fc2MAwAAAACAdifohdQAAAAAAEBoIq7oXrJkiVJSUhQbG6sRI0aoqKio0b47duzQtddeq5SUFFksFi1atKj1AgUAAAAAdHgRVXSvWbNGubm5mjNnjrZu3arU1FRlZ2fr0KFDfvtXVVXp7LPP1iOPPKKkpKRWjhYAAAAA0NFFVNG9cOFCTZ8+XVOnTtXgwYOVn5+vuLg4rVixwm//iy66SI899piuv/562e32Vo4WAAAAANDRhXTJsPqOHDmiDz74QE6nUxdddJF69uzZUnE1UFNTo+LiYs2ePdvTZrValZWVpc2bN7fY+1RXV6u6utqzXVFRIUlyOBxyOBwt9j4tyR1XW40PbQN5gkDIEQRCjiAY5AkCIUcQjEjIk2Bja3bR/cILL2jatGk677zz5HA4tGvXLi1ZskRTp05t7ks26ciRI3I6nUpMTPRpT0xM1GeffdZi75OXl6e5c+c2aH/rrbcUFxfXYu9jhvXr14c7BEQA8gSBkCMIhBxBMMgTBEKOIBhtOU+qqqqC6hd00X3y5Emddtppnu25c+eqqKhI5513niTp9ddf90z9jmSzZ89Wbm6uZ7uiokLJycm67LLLFB8fH8bIGudwOLR+/XqNGzdONpst3OGgjSJPEAg5gkDIEQSDPEEg5AiCEQl54p4VHUjQRXd6err++Mc/6uqrr67bMTpahw4d8hTd5eXliomJaUaowenevbuioqJUXl7u015eXt6ii6TZ7Xa/53/bbLY2+8d2i4QYEX7kCQIhRxAIOYJgkCcIhBxBMNpyngQbV9ALqb355pt68skndc011+ibb77RE088oUmTJikpKUndu3fXrFmz9Oc//7nZAQcSExOj9PR0FRQUeNpcLpcKCgqUmZlp2vsCAAAAANBcQY90p6Sk6PXXX9ezzz6rMWPG6J577tHu3bu1e/duOZ1ODRw4ULGxsWbGqtzcXE2ZMkXDhw9XRkaGFi1apMrKSs+U9smTJ6t3797Ky8uTVLf42qeffup5/PXXX6ukpESnnXaa+vfvb2qsAAAAAACEfMmwG264QR9++KE+/vhjjR07Vi6XS2lpaaYX3JI0adIkLViwQA8++KDS0tJUUlKidevWeRZX279/vw4ePOjp/80332jYsGEaNmyYDh48qAULFmjYsGG69dZbTY8VAAAAAICQVi9fu3atdu7cqdTUVC1fvlybNm3STTfdpCuuuEIPP/ywOnXqZFacHjk5OcrJyfH7XGFhoc92SkqKDMMwPSYAAAAAAPwJeqT7vvvu09SpU/Xhhx/q9ttv17x58zRmzBht3bpVsbGxGjZsmN544w0zYwUAAAAAIKIEXXSvXLlSa9eu1erVq/Xhhx9q1apVkuoWOJs3b55efPFF/eEPfzAtUAAAAAAAIk3QRXfnzp21Z88eSdKBAwcanMM9ePBgvfPOOy0bHQAAAAAAESzoojsvL0+TJ09Wr169NGbMGM2bN8/MuAAAAAAAiHhBL6R200036fLLL9eXX36pc889VwkJCSaGBQAAAABA5Atp9fIzzjhDZ5xxhlmxAAAAAADQroR8nW4AAAAAABAcim4AAAAAAExC0Q0AAAAAgEkougEAAAAAMAlFNwAAAAAAJglp9XK0TfPemafPyz7XkU+O6Nzu5yolIUW9u/RWlDWqRd/HMAxVO6tV5ajSKcepuvvaU57tU7WnVOOskcPpkMPl8DyucdbI4XLI4XTIZbjqXkuGz+t6i7JGyWqxKsry/b3XdpQ1StHW6IA3m9UmW5RNNqutbrveY3cf7+0oS5QsFkuL/pu1ZYZhyGk4VeOsaXBz/93cf7taV63n71r/sdPllMtwyWk4/T4ORpQ1yvP39b63Wqyev1FMVIxiomJks3o9/r49NjrW52aPsneovyUAAADaLorudmDpR0t15NQRrX5ttact2hqts7qepX4J/ZSSkKI+8X0kyX9x5ap77C6cqxxVjRbW3sVye+RdjDd1cxf/3gWiu93d5v3Dgb+buyi0yOLzWJIsFosMw5AhQy7DJcP4/r7edq2rttGb+4cO77915XeVMj41PNvt+e/pLsA7RXdSJ1snxdnifG6dbZ0bbJ8Wc5o6x3RWZ1tndY75frveY3efaCuHTwAAAATGt8YI5zJcuifjHr2z/R25uri0r2Kf9h3bJ4fLoS+//VJffvulKe8bZYnyFCvugsY9wugefXSPNns/jrL8MPruLjAleYpOwzDkkstnxNRl/LBd66qV03A2Xmg6HT4FZ2OPnYbT7+dyv0675v+jS5LP38z779bY7AHvHx68ZyN4/+AQaMTZPeJef5Tc/bd3/129R97r/3hUXVutU7WnfF73u9rv9F3tdzqmYy3wj9ZQTFRMg0K8qaLe+78Rn1H5aLvPfzvuf1N/P/D4+/f0/u9IqjsmeN/cP9S4b+5/W3//3jWOGn184mPZvrTJYrX4/PfnvU+g93D/YOT++3o/9sRtsXh+cKp/7/5hyt/sB+/ZLt45Wf8+JipG9mi77FF2z31Lz/4BAAAIBkV3hLNarJo1apaGHh+q8ePHy2azyely6uDJg9rz7R7tPbZXe47t0TcnvlGUJarBtFzv4qqTrZM6RXdqUEy727y3bVG2cH/0H8UwDJ8RYe8p0+6ivKnC3v28dzHi/kHA3eYejfb+8cD75o6jfkFiyJBhGJ7iwyKLp9jyfmy1WJsclY+yRvn8CGIxLNry7hZdevGl6mzvLFuUrcGPJJE8Jdsw6kbw3cW29809e8P7Vumo/OFxTaUqHXW3kzUnf9iu+X7b67H7B5saZ42Onjqqo6eOhvmTm+CLcAdgDvcx0P1Dh3smRGx0rDrZOjXYjov2PRb6u7lnQtS/5xQHAADgRtHdDkVZo9Qnvo/6xPfRT/v+NNzhtEkWi6VuRCzKpk7qFO5wWoXD4dBXsV/pnNPPkc0W2T+a+GOxWOpGNKPt6qqupryHu7CvX4ifrDnZZFHvLuyrndWqdlZ7fgyorq32+XHA30wO9w86ta7agOfIGzJ8RsQbnNIgi9/z5r0fV56sVEJ8gqKjohs87++0ifrv4/5hyP03kRqeQuH+Yamx+/oj8PXvvX8Ac/9QVv++xlmjame1z7+P03DqVO2pBrMizGC1WAOfplDvlAb3Y+/+3vdxtjh1jukc8T+QAQDQ0VB0A0CQvAv7M3RGuMNpcQ6HQ2vXrvXMmol07hkt1c5qVddWN7j/rvY7nao9VXfvONVg23uNi8Z+VPGeFVHpqFSNs0ZS3TT/EzUndKLmRIt/rihLlOd0hs62zp5ZSg3uv5+lVH+avfvefXqD96kkjd27Z9C4nC4drjmsgycPKjYm9oeZNX5+wOGHAQAA6lB0AwDaJe8ZLafFnNYq71nrqm1QiHufpuB9+kKDx35OaXDfVzmq5HA5JNWN2FdUV6iiuqJVPpNfnwbuUn9mhb8FJQMtNtnYc8HcvF/b31UxGqxH0cTCmN7rLDS1uGb9K2P4u2qG97oD/tZAcd/cM0YAAJGPohsAgBYSbY1W19iu6hrb8qc4OJyOBiPs3pds9H7sfe89su8+xcF7xN/7so7e0/O927zXraiprZFLrqBOd6h11apWtU0u4Aj/vNdh8Xdzz1hwP46JivGd0fD9Y/dCjd6PvRdxrL/Ao3e7e50De7SdKzYAwI/AERQAgAhgi7IpISpBCbEJYYvB+xSE6Ohozzn2gVbG97fqvfdq+PUXn6y/Or7T5fS7Er+//eu/X2NXw2gsVu+1A/wtlhnoUo3+rqbhbw0C96Ub3Y/r/4jRmmsQBCPaGu1TjDe2GGFsdKzsVrsOfXNIG9ZvUFxMnN/FCuvv493u/RxXHgDQHlB0AwCAkFksFkVbohkBbSFOl9NnpkFjt2pntedSie7t+o+9792LNnoee8188CzqWG+Bx1O1p1RdW+05pUGqO3XCvXBksN7895st8m9js9r8Fvz+Rud9Ru39rGVQ/957poB7toD3bALvq7y4H0dbo1mzAEBI+H9KAACAMIuy1p0/HhsdG+5QPJwup09B7r65Fx70XnzQu/1k9UmV7ixVn3595HA5fBcprLd4oc/rer1WravWE4fD5ZCjxmHKwoTN5V2Eey86WP8c/UCLFNqsvo+91wOov5hhsI/9rSPQ2HPubdYQAMxF0Q0AAIAGoqxRirPWXZM+FA6HQ2u/XavxFzf/Sgi1rtoGRbl3ce8ejfcezfc3au8z+u9nJoBnBkFttd/ZBO7p/w0+o6vu1IBKR2WzPl9bY7VYQyram3rss28jz1ll1RflX+jzos8Va4sN6goK3gsQBvMjB7MR0JZEXNG9ZMkSPfbYYyorK1NqaqoWL16sjIyMRvs///zz+v3vf6+9e/fq3HPP1aOPPqrx48e3YsQAAAAIRbQ1WqfFnNZqVx5oivvyg+4FButP+a9/nr73QoT+Fips6t7f+f/11wrw7ld/3QD3tr/H7m1/iyC6DJfn87Sqg+a9tPePBv6uElB/tkL9Nn/b3n1/zK3+aQz8SND+RVTRvWbNGuXm5io/P18jRozQokWLlJ2drV27dqlHjx4N+r///vu64YYblJeXp5/97Gd65plnNHHiRG3dulUXXHBBGD4BAAAAIon35QfbA5fharRI91e0+yv2/f1AEKh//Ssk7Nm3R4m9EuU0nEH9IOH9A4e/Hyvqc3+etrIYYSA2q83nSgT11xbwd7WCBlcy+H69An/P+7vKQf3n/fVj3Y6WEVH/igsXLtT06dM1depUSVJ+fr5ef/11rVixQrNmzWrQ/4knntDll1+uX/3qV5KkefPmaf369frTn/6k/Pz8Vo0dAAAACDerxeop6MLF+0oIzT0FwZthGE1eHcDfDATvmQv12/wtaOju633agb+ZD97P1293n77gcDrkNHyvpeheu6CtsVqsQS1KWP8+2MUM61/a0Pvealh1zHEs3P8ELSJiiu6amhoVFxdr9uzZnjar1aqsrCxt3rzZ7z6bN29Wbm6uT1t2drZefvnlRt+nurpa1dXVnu2KigpJdQcHh6Pt/YcgyRNXW40PbQN5gkDIEQRCjiAY5AkCMSNHLLIoxlL3Y0LnqM4t9rpmcbqcDdYR8FyF4PvC3FOsu3yL9vpXNPBek8D7Nfzt09iaBt77GDI8cboMV1gvX3hW7Fm6znFdWN47GMHmcMQU3UeOHJHT6VRiYqJPe2Jioj777DO/+5SVlfntX1ZW1uj75OXlae7cuQ3a33rrLcXFhbaQSGtbv359uENABCBPEAg5gkDIEQSDPEEg5EjwbN//r7OC/EHBKqkZkxkMw5BTdVP+a41aOQyH7+Pvt92Pa1117TWumoB96re7H9catX7bHYZDsdbYNp0nVVVVQfWLmKK7tcyePdtndLyiokLJycm67LLLFB8fH8bIGudwOLR+/XqNGzeuRabooH0iTxAIOYJAyBEEgzxBIOQIghEJeeKeFR1IxBTd3bt3V1RUlMrLy33ay8vLlZSU5HefpKSkkPpLkt1ul91ub9Bus9na7B/bLRJiRPiRJwiEHEEg5AiCQZ4gEHIEwWjLeRJsXFaT42gxMTExSk9PV0FBgafN5XKpoKBAmZmZfvfJzMz06S/VTWNprD8AAAAAAC0pYka6JSk3N1dTpkzR8OHDlZGRoUWLFqmystKzmvnkyZPVu3dv5eXlSZLuvfdejRkzRv/zP/+jK6+8UqtXr9ZHH32kJ598MpwfAwAAAADQQURU0T1p0iQdPnxYDz74oMrKypSWlqZ169Z5Fkvbv3+/rNYfBu9HjhypZ555Rr/73e/029/+Vueee65efvllrtENAAAAAGgVEVV0S1JOTo5ycnL8PldYWNig7brrrtN117XdZeYBAAAAAO1XxJzTDQAAAABApKHoBgAAAADAJBTdAAAAAACYhKIbAAAAAACTUHQDAAAAAGASim4AAAAAAExC0Q0AAAAAgEkougEAAAAAMAlFNwAAAAAAJqHoBgAAAADAJBTdAAAAAACYhKIbAAAAAACTUHQDAAAAAGASim4AAAAAAExC0Q0AAAAAgEkougEAAAAAMAlFNwAAAAAAJqHoBgAAAADAJBTdAAAAAACYhKIbAAAAAACTUHQDAAAAAGASim4AAAAAAExC0Q0AAAAAgEkipug+evSobrrpJsXHxyshIUHTpk3TyZMnm9znySef1NixYxUfHy+LxaJjx461TrAAAAAAACiCiu6bbrpJO3bs0Pr16/Xaa6/pn//8p2677bYm96mqqtLll1+u3/72t60UJQAAAAAAP4gOdwDB2Llzp9atW6cPP/xQw4cPlyQtXrxY48eP14IFC9SrVy+/+82cOVOSVFhY2EqRAgAAAADwg4gY6d68ebMSEhI8BbckZWVlyWq16oMPPghjZAAAAAAANC4iRrrLysrUo0cPn7bo6Gh169ZNZWVlLfpe1dXVqq6u9mwfP35cUt055Q6Ho0Xfq6U4HA5VVVXp3//+t2w2W7jDQRtFniAQcgSBkCMIBnmCQMgRBCMS8uTEiROSJMMwmuwX1qJ71qxZevTRR5vss3PnzlaKpk5eXp7mzp3boL1fv36tGgcAAAAAoO07ceKEunbt2ujzYS2677vvPv33f/93k33OPvtsJSUl6dChQz7ttbW1Onr0qJKSklo0ptmzZys3N9ez7XK5dPToUZ1xxhmyWCwt+l4tpaKiQsnJyTpw4IDi4+PDHQ7aKPIEgZAjCIQcQTDIEwRCjiAYkZAnhmHoxIkTja4x5hbWovvMM8/UmWeeGbBfZmamjh07puLiYqWnp0uSNmzYIJfLpREjRrRoTHa7XXa73actISGhRd/DLPHx8W02IdF2kCcIhBxBIOQIgkGeIBByBMFo63nS1Ai3W0QspDZo0CBdfvnlmj59uoqKivTee+8pJydH119/vedXha+//loDBw5UUVGRZ7+ysjKVlJRo9+7dkqTS0lKVlJTo6NGjYfkcAAAAAICOJSKKbkl6+umnNXDgQF166aUaP368/uM//kNPPvmk53mHw6Fdu3apqqrK05afn69hw4Zp+vTpkqTRo0dr2LBhevXVV1s9fgAAAABAxxMRq5dLUrdu3fTMM880+nxKSkqDVeMeeughPfTQQyZHFn52u11z5sxpMC0e8EaeIBByBIGQIwgGeYJAyBEEoz3licUItL45AAAAAABoloiZXg4AAAAAQKSh6AYAAAAAwCQU3QAAAAAAmISiO0IsWbJEKSkpio2N1YgRI3wujebP888/r4EDByo2NlZDhgzR2rVrWylShFMoebJy5UpZLBafW2xsbCtGi9b2z3/+UxMmTFCvXr1ksVj08ssvB9ynsLBQF154oex2u/r376+VK1eaHifCJ9QcKSwsbHAcsVgsKisra52A0ery8vJ00UUXqUuXLurRo4cmTpyoXbt2BdyP7yUdR3NyhO8kHc/SpUs1dOhQzzW4MzMz9cYbbzS5TyQfRyi6I8CaNWuUm5urOXPmaOvWrUpNTVV2drYOHTrkt//777+vG264QdOmTdO2bds0ceJETZw4Udu3b2/lyNGaQs0TSYqPj9fBgwc9t3379rVixGhtlZWVSk1N1ZIlS4Lqv2fPHl155ZW6+OKLVVJSopkzZ+rWW2/Vm2++aXKkCJdQc8Rt165dPseSHj16mBQhwm3Tpk2aMWOGtmzZovXr18vhcOiyyy5TZWVlo/vwvaRjaU6OSHwn6Wj69OmjRx55RMXFxfroo490ySWX6Oqrr9aOHTv89o/444iBNi8jI8OYMWOGZ9vpdBq9evUy8vLy/Pb/xS9+YVx55ZU+bSNGjDBuv/12U+NEeIWaJ0899ZTRtWvXVooObY0k46WXXmqyz69//Wvj/PPP92mbNGmSkZ2dbWJkaCuCyZGNGzcakoxvv/22VWJC23Po0CFDkrFp06ZG+/C9pGMLJkf4TgLDMIzTTz/dWL58ud/nIv04wkh3G1dTU6Pi4mJlZWV52qxWq7KysrR582a/+2zevNmnvyRlZ2c32h+Rrzl5IkknT55U3759lZyc3OSvi+iYOJYgWGlpaerZs6fGjRun9957L9zhoBUdP35cktStW7dG+3As6diCyRGJ7yQdmdPp1OrVq1VZWanMzEy/fSL9OELR3cYdOXJETqdTiYmJPu2JiYmNnjNXVlYWUn9EvubkyYABA7RixQq98sor+vvf/y6Xy6WRI0fqq6++ao2QEQEaO5ZUVFTo1KlTYYoKbUnPnj2Vn5+vF154QS+88IKSk5M1duxYbd26NdyhoRW4XC7NnDlTo0aN0gUXXNBoP76XdFzB5gjfSTqm0tJSnXbaabLb7brjjjv00ksvafDgwX77RvpxJDrcAQAIj8zMTJ9fE0eOHKlBgwbpL3/5i+bNmxfGyABEigEDBmjAgAGe7ZEjR+qLL77Q448/rlWrVoUxMrSGGTNmaPv27Xr33XfDHQraqGBzhO8kHdOAAQNUUlKi48eP6x//+IemTJmiTZs2NVp4RzJGutu47t27KyoqSuXl5T7t5eXlSkpK8rtPUlJSSP0R+ZqTJ/XZbDYNGzZMu3fvNiNERKDGjiXx8fHq1KlTmKJCW5eRkcFxpAPIycnRa6+9po0bN6pPnz5N9uV7SccUSo7Ux3eSjiEmJkb9+/dXenq68vLylJqaqieeeMJv30g/jlB0t3ExMTFKT09XQUGBp83lcqmgoKDRcx4yMzN9+kvS+vXrG+2PyNecPKnP6XSqtLRUPXv2NCtMRBiOJWiOkpISjiPtmGEYysnJ0UsvvaQNGzaoX79+AffhWNKxNCdH6uM7ScfkcrlUXV3t97mIP46EeyU3BLZ69WrDbrcbK1euND799FPjtttuMxISEoyysjLDMAzj5ptvNmbNmuXp/9577xnR0dHGggULjJ07dxpz5swxbDabUVpaGq6PgFYQap7MnTvXePPNN40vvvjCKC4uNq6//nojNjbW2LFjR7g+Akx24sQJY9u2bca2bdsMScbChQuNbdu2Gfv27TMMwzBmzZpl3HzzzZ7+X375pREXF2f86le/Mnbu3GksWbLEiIqKMtatWxeujwCThZojjz/+uPHyyy8bn3/+uVFaWmrce++9htVqNd5+++1wfQSY7M477zS6du1qFBYWGgcPHvTcqqqqPH34XtKxNSdH+E7S8cyaNcvYtGmTsWfPHuOTTz4xZs2aZVgsFuOtt94yDKP9HUcouiPE4sWLjbPOOsuIiYkxMjIyjC1btnieGzNmjDFlyhSf/s8995xx3nnnGTExMcb5559vvP76660cMcIhlDyZOXOmp29iYqIxfvx4Y+vWrWGIGq3FfXmn+jd3XkyZMsUYM2ZMg33S0tKMmJgY4+yzzzaeeuqpVo8brSfUHHn00UeNc845x4iNjTW6detmjB071tiwYUN4gker8JcfknyODXwv6diakyN8J+l4brnlFqNv375GTEyMceaZZxqXXnqpp+A2jPZ3HLEYhmG03rg6AAAAAAAdB+d0AwAAAABgEopuAAAAAABMQtENAAAAAIBJKLoBAAAAADAJRTcAAAAAACah6AYAAAAAwCQU3QAAAAAAmISiGwAAAAAAk1B0AwCAFjV27FjNnDmzyT4pKSlatGhRq8QDAEA4RYc7AAAA0L68+OKLstls4Q4DAIA2gaIbAAC0iJqaGsXExKhbt27hDgUAgDaD6eUAALRje/fulcViaXAbO3ZswH2XLVum5ORkxcXF6ZprrtHChQuVkJDgef6hhx5SWlqali9frn79+ik2NlZSw+nlhw4d0oQJE9SpUyf169dPTz/9dAt/SgAA2i5GugEAaMeSk5N18OBBz3ZZWZmysrI0evToJvd77733dMcdd+jRRx/VVVddpbffflu///3vG/TbvXu3XnjhBb344ouKiory+1r//d//rW+++UYbN26UzWbTPffco0OHDv24DwYAQISg6AYAoB2LiopSUlKSJOm7777TxIkTlZmZqYceeqjJ/RYvXqwrrrhC999/vyTpvPPO0/vvv6/XXnvNp19NTY3+7//+T2eeeabf1/nXv/6lN954Q0VFRbroooskSX/96181aNCgH/nJAACIDEwvBwCgg7jlllt04sQJPfPMM7Jam/4KsGvXLmVkZPi01d+WpL59+zZacEvSzp07FR0drfT0dE/bwIEDfaapAwDQnjHSDQBABzB//ny9+eabKioqUpcuXVrsdTt37txirwUAQHvESDcAAO3cCy+8oIcffljPPfeczjnnnKD2GTBggD788EOftvrbwRg4cKBqa2tVXFzsadu1a5eOHTsW8msBABCJGOkGAKAd2759uyZPnqzf/OY3Ov/881VWViZJAS/tdffdd2v06NFauHChJkyYoA0bNuiNN96QxWIJ6f0HDBigyy+/XLfffruWLl2q6OhozZw5U506dfpRnwsAgEjBSDcAAO3YRx99pKqqKs2fP189e/b03H7+8583ud+oUaOUn5+vhQsXKjU1VevWrdMvf/lLz2XBQvHUU0+pV69eGjNmjH7+85/rtttuU48ePZr7kQAAiCgWwzCMcAcBAADavunTp+uzzz7TO++8E+5QAACIGEwvBwAAfi1YsEDjxo1T586d9cYbb+hvf/ub/vznP4c7LAAAIgrTywEA6ICuuOIKnXbaaX5vf/jDHyRJRUVFGjdunIYMGaL8/Hz97//+r2699dYwRw4AQGRhejkAAB3Q119/rVOnTvl9rlu3bk0usgYAAIJH0Q0AAAAAgEmYXg4AAAAAgEkougEAAAAAMAlFNwAAAAAAJqHoBgAAAADAJBTdAAAAAACYhKIbAAAAAACTUHQDAAAAAGASim4AAAAAAEzy/wO7RPD/uOvyFgAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "thresh = 1e-10\n", + "zz = cosmo_symb[obb].fiducialcosmo.results.zgrid\n", + "kkk = 0.01\n", + "sobo_quant = np.clip(cosmo_symb[obb].fiducialcosmo.sigma8_of_z(zz), thresh, None)\n", + "camb_quant = np.clip(cosmo_camb[obb].fiducialcosmo.sigma8_of_z(zz), thresh, None)\n", + "quant = '$\\sigma_8(z)$'\n", + "x_axis = zz\n", + "\n", + "percentage_diff = (100*(sobo_quant - camb_quant)/camb_quant)\n", + "\n", + "fig = plt.figure(figsize=(10, 8))\n", + "\n", + "# First subplot: Angular Distance comparison (occupies most of the space)\n", + "ax1 = plt.subplot2grid((3, 1), (0, 0), rowspan=2) # 2/3 of height\n", + "ax1.plot(x_axis, sobo_quant, color='blue', marker='o', label='CF symb')\n", + "ax1.plot(x_axis, camb_quant, ls='--', color='red', label='CF camb')\n", + "ax1.set_ylabel(quant)\n", + "ax1.set_title('Comparison of '+quant)\n", + "ax1.legend()\n", + "ax1.grid(True)\n", + "\n", + "# Second subplot: Percentage Difference (occupies less space)\n", + "ax2 = plt.subplot2grid((3, 1), (2, 0), rowspan=1) # 1/3 of height\n", + "ax2.plot(x_axis, percentage_diff, color='green', label='Percentage Difference')\n", + "ax2.set_xlabel('z_grid')\n", + "ax2.set_ylabel('% Difference')\n", + "ax2.set_ylim(-0.1,0.5)\n", + "ax2.grid(True)\n", + "\n", + "\n", + "# Adjust layout to prevent overlap\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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l6NJraWlJr169TPPW1tb06tWLqKgo9u7dC2T/f/HHH39gMBgYPny42XMQyNDF7kGye64PUrduXbNsOeNrZ5s2bcxexx/0miqEEOLFIt33hBBCvLScnJwAVT8pO86dO4der88wspunpycuLi6cO3fObHnawBOoIswAPj4+mS6/deuW2XK9Xk+hQoXMlhUtWhTArF7K0qVLGTNmDAcOHDCrBZPZF8aCBQtmeX5pTZw4kS5duuDj40NQUBBNmjShc+fOpvYYzzWz7mPFixdny5YtZstsbW1xd3c3W5Y7d+4M55xeVn/H2tqaQoUKZbjmz0L+/PkzXNvcuXNz6NAh0/zJkyc5fvx4hnM2MhZlB9i6dSsjRoxg+/btxMXFmW0XHR1tenxA9v9/6TVp0gRHR0d++uknDhw4QMWKFSlcuHCmdXeMIxjOnDmTiIgIs7pfefLkeaS/b/Qw1wUe/nz9/Pz45ptv0Ol02NraUqRIETw8PEzrz507ZwpYpBUQEGBaX6pUKcqXL4+9vT2bN2+mYcOGbN68mVGjRuHp6cn06dNJSEgwBaeMAa5Tp06haRqffvopn376aZbnly9fvkc6Py8vL2bNmsXMmTM5efIkK1euZMKECQwfPhwvLy/eeecd07be3t4ZComnfe2oXLlytv8Xp0+fRq/XP1RwMDOP+thN63FfU4UQQrx4JCglhBDipeXk5IS3tzdHjhx5qP2ymx2QVVZAVsvTZztkx+bNm2nRogU1atRg5syZeHl5YWVlxbx581i8eHGG7R80Ulta7dq1o3r16vz++++sWrWKSZMmMWHCBH777TdT3aSH8bgZEs+T7Pz/DAYDpUuXZvLkyZlua/wSffr0aerWrUvx4sWZPHkyPj4+WFtbs3z5cqZMmYLBYDDbL7v/v/RsbGxo3bo1CxYs4MyZMw8sAj9u3Dg+/fRT3n77bT777DNcXV3R6/UMHDgwQ3seVnavi9HDnm+uXLmoV6/eI7fPyMrKikqVKrFp0yZOnTpFZGQk1atXJ2/evCQlJbFz5042b95M8eLFTUEd47UZPHhwltls6QPaj/L/1Ol0FC1alKJFi9K0aVOKFCnCokWLzIJS2fGw/4vHldm5ZvVamtUACM/iNVUIIcTzRYJSQgghXmrNmjVjzpw5bN++3ayrXWZ8fX0xGAycPHnSlFkBcPXqVW7fvo2vr+8TbZvBYODMmTOmDAeAf//9F8DUheXXX3/F1taWlStXYmNjY9pu3rx5j/33vby86Nu3L3379iUqKory5cszduxYGjdubDrX8PBwU3cfo/Dw8Cd2LdL+nbRZY4mJiURERDyRAMTT4O/vz8GDB6lbt+4Dg5h///039+7d46+//jLLAknfje1J6NSpE99++y16vZ4OHTpkud0vv/xC7dq1mTt3rtny27dv4+bmZpp/0HlltS671+Vp8fX1JTw8PMPyEydOmNYbVa9enQkTJrBmzRrc3NwoXrw4Op2OkiVLsnnzZjZv3kyzZs1M2xsfn1ZWVs/scVmoUCFy587NlStXzJZfvnyZu3fvmmVLpX/tyO7/wt/fH4PBwLFjxyhXrlyW2z3K/zN37txmoxka5UQGpBBCiOeT1JQSQgjxUvvwww/JlSsX77zzDlevXs2w/vTp03z11VeA6gIFMHXqVLNtjJkG6Ue6exJmzJhh+l3TNGbMmIGVlRV169YFVIaATqczyyw4e/ZshlHMHkZKSkqGWkYeHh54e3ubugdWqFABDw8PZs+ebdZl8J9//uH48eNP7FrUq1cPa2trpk2bZpb1MHfuXKKjo5/KNX8S2rVrx6VLl/jmm28yrIuPjzeNPmbM8Eh7btHR0U8kqJhe7dq1+eyzz5gxYwaenp5ZbmdhYZEhw2TJkiUZ6iEZAx6ZBRVy5cqV4TEE2b8uT0uTJk3YtWsX27dvNy27e/cuc+bMwc/Pz6yLWvXq1bl37x5Tp06lWrVqpqBL9erVWbhwIZcvXzbVkwL1HKlVqxZff/11hiARwLVr1x653Tt37sz02uzatYsbN25k6N6anJzM119/bZpPTEzk66+/xt3dnaCgICD7/4uWLVui1+sZPXp0hky5tI+TXLlyZfpYeBB/f3+io6PNur5euXIlw0imQgghXl2SKSWEEOKl5u/vz+LFi2nfvj0BAQF07tyZUqVKkZiYyLZt21iyZAldu3YFoGzZsnTp0oU5c+Zw+/Ztatasya5du1iwYAEtW7akdu3aT7Rttra2rFixgi5dulCpUiX++ecfli1bxscff2zqMtS0aVMmT55Mo0aN6NSpE1FRUYSFhVG4cGGzL3oP486dO+TPn5+2bdtStmxZHBwcWLNmDbt37+bLL78EVDbIhAkT6NatGzVr1qRjx45cvXqVr776Cj8/P957770ncg3c3d0ZOnQoo0aNolGjRrRo0YLw8HBmzpxJxYoVzQqOP4rJkydjb29vtkyv1/Pxxx8/1nHfeustfv75Z3r37s369esJCQkhJSWFEydO8PPPP7Ny5UoqVKhAgwYNsLa2pnnz5vTq1YvY2Fi++eYbPDw8Mg1sPA69Xs+wYcP+c7tmzZoxevRounXrRtWqVTl8+DCLFi3KUN/M398fFxcXZs+ejaOjI7ly5aJSpUoULFiQoKAgfvrpJwYNGkTFihVxcHCgefPm2b4uT8tHH33EDz/8QOPGjRkwYACurq4sWLCAiIgIfv31V7NC3lWqVMHS0pLw8HB69uxpWl6jRg1mzZoFYBaUAggLC6NatWqULl2aHj16UKhQIa5evcr27du5ePEiBw8efKR2L1y4kEWLFtGqVSuCgoKwtrbm+PHjfPvtt9ja2mZ4vHp7ezNhwgTOnj1L0aJFTbXE5syZg5WVFZD9x2jhwoX55JNP+Oyzz6hevTqtW7fGxsaG3bt34+3tzfjx4wEICgpi1qxZjBkzhsKFC+Ph4ZEhizK9Dh06MGTIEFq1asWAAQOIi4tj1qxZFC1a9LGL6gshhHhJ5NSwf0IIIcSz9O+//2o9evTQ/Pz8NGtra83R0VELCQnRpk+fbja8e1JSkjZq1CitYMGCmpWVlebj46MNHTrUbBtN0zRfX1+tadOmGf4OoIWGhpoti4iI0ABt0qRJpmVdunTRcuXKpZ0+fVpr0KCBZm9vr+XNm1cbMWJEhmHZ586dqxUpUkSzsbHRihcvrs2bNy/LIdXT/+2060aMGKFpmho+/oMPPtDKli2rOTo6arly5dLKli2rzZw5M8N+P/30kxYYGKjZ2Nhorq6u2htvvKFdvHjRbBvjuaSXWRuzMmPGDK148eKalZWVljdvXq1Pnz7arVu3Mj3etWvX/vN4xm0zmywsLDRN07T169drgLZ+/XrTfjVr1tRKliyZ4XiZDW2fmJioTZgwQStZsqRmY2Oj5c6dWwsKCtJGjRqlRUdHm7b766+/tDJlymi2traan5+fNmHCBO3bb7/NMKR9Vo+prGR13dPK7LGXkJCgvf/++5qXl5dmZ2enhYSEaNu3b9dq1qyp1axZ02z/P//8UytRooRmaWmpAdq8efM0TdO02NhYrVOnTpqLi4sGmF2b7F6XBz1eM5PV/ya906dPa23bttVcXFw0W1tbLTg4WFu6dGmm21asWFEDtJ07d5qWXbx4UQM0Hx+fLI/fuXNnzdPTU7OystLy5cunNWvWTPvll19M28ybN08DtN27d2fr3A4dOqR98MEHWvny5TVXV1fN0tJS8/Ly0l5//XVt3759Ztsar8OePXu0KlWqaLa2tpqvr682Y8aMDMfN7v9C0zTt22+/NT3Xc+fOrdWsWVNbvXq1aX1kZKTWtGlTzdHRUQNMj5X/OtdVq1ZppUqV0qytrbVixYpp33//fbZfvzJ7/Gpa6nN3yZIlD76wQgghnns6TZMKgUIIIcSz1rVrV3755RdiY2NzuilCiBdIrVq1uH79+kMP4CCEEEI8j6SmlBBCCCGEEEIIIYR45iQoJYQQQgghhBBCCCGeOQlKCSGEEEIIIYQQQohnTmpKCSGEEEIIIYQQQohnTjKlhBBCCCGEEEIIIcQzZ5nTDXiRGQwGLl++jKOjIzqdLqebI4QQQgghhBBCCJHjNE3jzp07eHt7o9dnnQ8lQanHcPnyZXx8fHK6GUIIIYQQQgghhBDPnQsXLpA/f/4s10tQ6jE4OjoC6iI7OTnlcGteDUlJSaxatYoGDRpgZWWV080RQjxl8pwX4tUiz3khXi3ynBfi5RUTE4OPj48pbpIVCUo9BmOXPScnJwlKPSNJSUnY29vj5OQkb1xCvALkOS/Eq0We80K8WuQ5L8TL779KHUmhcyGEEEIIIYQQQgjxzElQSgghhBBCCCGEEEI8cxKUEkIIIYQQQgghhBDPnNSUEkIIIYQQQgghXgApKSkkJSXldDOEwMrKCgsLi8c+jgSlhBBCCCGEEEKI55imaURGRnL79u2cbooQJi4uLnh6ev5nMfMHeeWDUn5+fjg5OaHX68mdOzfr16/P6SYJIYQQQgghhBAmxoCUh4cH9vb2jxUEEOJxaZpGXFwcUVFRAHh5eT3ysV75oBTAtm3bcHBwyOlmCCGEEEIIIYQQZlJSUkwBqTx58uR0c4QAwM7ODoCoqCg8PDweuSufFDoXQgghhBBCCCGeU8YaUvb29jncEiHMGR+Tj1Pn7IUOSm3atInmzZvj7e2NTqfjjz/+yLBNWFgYfn5+2NraUqlSJXbt2mW2XqfTUbNmTSpWrMiiRYueUcuFEEIIIYQQQojsky574nnzJB6TL3T3vbt371K2bFnefvttWrdunWH9Tz/9xKBBg5g9ezaVKlVi6tSpNGzYkPDwcDw8PADYsmUL+fLl48qVK9SrV4/SpUtTpkyZTP/evXv3uHfvnmk+JiYGUFFBGQHh2TBeZ7neQrwa5DkvxKtFnvNCvFrkOZ89SUlJaJqGwWDAYDDkdHOEMDEYDGiaRlJSUobue9l9Xus0TdOeRuOeNZ1Ox++//07Lli1NyypVqkTFihWZMWMGoC6Yj48P/fv356OPPspwjA8++ICSJUvStWvXTP/GyJEjGTVqVIblixcvllRKIYQQQgghhBBPnKWlJZ6envj4+GBtbZ3TzRHCJDExkQsXLhAZGUlycrLZuri4ODp16kR0dDROTk5ZHuOFzpR6kMTERPbu3cvQoUNNy/R6PfXq1WP79u2AyrQyGAw4OjoSGxvLunXraNeuXZbHHDp0KIMGDTLNx8TE4OPjQ4MGDR54kcWTk5SUxOrVq6lfvz5WVlY53RwhxFMmz3khXi3ynBfi1SLP+exJSEjgwoULODg4YGtrm9PNeWXVqVOHsmXLMmXKlIfet1atWvTs2ZNOnTo9hZY9edevX6dUqVLs2bOH/PnzZ7ldQkICdnZ21KhRI8Nj09iz7L+8tEGp69evk5KSQt68ec2W582blxMnTgBw9epVWrVqBagRDXr06EHFihWzPKaNjQ02NjYZlltZWcmL6DMm11yIV4s854V4tchzXohXizznHywlJQWdToder0evf/HKQkdGRjJ27FiWLVvGpUuX8PDwoFy5cgwcOJC6desC4Ofnx7lz58z2y5cvHxcvXsyJJmfJ+H94GH/99RdXr16lU6dOT+X/l5CQwPvvv8+PP/7IvXv3aNiwITNnzswQC0lL0zRGjBjBN998w+3btwkJCWHWrFkUKVIEAA8PDzp37syoUaOYO3dulsfR6/XodLpMn8PZfU6/tEGp7ChUqBAHDx586P3CwsIICwsjJSXlKbRKCCGEEEIIIYT4b9eumc/nzg2WWXzLT7+tiwtkFTe4fh3SFvpxdoZH6Tl49uxZQkJCcHFxYdKkSZQuXZqkpCRWrlxJaGioKWEEYPTo0fTo0cM0n75G0Ytq2rRpdOvW7akFFN977z2WLVvGkiVLcHZ2pl+/frRu3ZqtW7dmuc/EiROZNm0aCxYsoGDBgnz66ac0bNiQY8eOmTKeunXrRlBQEJMmTcLV1fWptB1e8NH3HsTNzQ0LCwuuXr1qtvzq1at4eno+1rFDQ0M5duwYu3fvfqzjCCGEeHI0DaT2pxBCCCFeJR4e5lN4eNbb+vmZb3vgQNbbBgSYb7tt26O1r2/fvuh0Onbt2kWbNm0oWrQoJUuWZNCgQezYscNsW0dHRzw9PU2Tu7t7lsfdsGEDwcHB5MqVCxcXF0JCQjh37hxnz55Fr9ezZ88es+2nTp2Kr68vBoOBDRs2oNPpWLlyJYGBgdjZ2VGnTh2ioqL4559/CAgIwMnJiU6dOhEXF2d2nOTkZPr164ezszNubm58+umnPKhM97Vr11i3bh3Nmzc3LZs/fz46nS7DNHLkyIe4skp0dDRz585l8uTJ1KlTh6CgIObNm8e2bdsyXF8jTdOYOnUqw4YN47XXXqNMmTJ89913XL58mT/++MO0XcmSJfH29ub3339/6HY9jJc2KGVtbU1QUBBr1641LTMYDKxdu5YqVarkYMuEEOLVc/kyHDoEmzfD0qUQEZH1tmPHQtOmULs2hIRYsG6dT5bbvvOOumtnYQF6PaQpI5jBxx+Dk5O6g+jmBj17Zr3t0qXQp4863oQJ8Oef2ThJIYQQQghhcvPmTVasWEFoaCi5cuXKsN7FxeWRjpucnEzLli2pWbMmhw4dYvv27fTs2ROdToefnx/16tVj3rx5ZvvMmzePrl27mmUrjRw5khkzZrBt2zYuXLhAu3btmDp1KosXL2bZsmWsWrWK6dOnmx1nwYIFWFpasmvXLr766ismT57M//73vyzbumXLFuzt7QkICDAta9++PVeuXDFNP/zwA5aWloSEhACwaNEiHBwcHjht3rwZgL1795KUlES9evVMxy9evDgFChQw1dJOLyIigsjISLN9nJ2dqVSpUoZ9goODTX/raXmhu+/FxsZy6tQp03xERAQHDhzA1dWVAgUKMGjQILp06UKFChUIDg5m6tSp3L17l27duuVgq4UQ4uWwciWcPavSu69fhzfegAoVMt+2fXvYsiV1fsYMFfTR6yEmRh0nPl5NS5dC6o0dPQaDNxMm6ElKguRkSEmBgQPB0xNOnYK0o80uWwaBgdChA5w8CV98oQJWlpYqIHbnTuq2Bw6ogJOdHdjbq6luXcibF9auhdmzU7dt2hReey3zc/vlF/jss9Q7iYGBMHjww15NIYQQQoiXy6lTp9A0jeLFi2dr+yFDhjBs2DDT/Lhx4xgwYECG7WJiYoiOjqZZs2b4+/sDmAV93nnnHXr37s3kyZOxsbFh3759HD58mD/T3WUcM2aMKRDUvXt3hg4dyunTpylUqBAAbdu2Zf369QwZMsS0j4+PD1OmTEGn01GsWDEOHz7MlClTzLodpnXu3Dny5s1rFgyzs7PDzs4OgNOnTxMaGsq4ceOoX78+AC1atKBSpUoPvFb58uUDVL0ua2vrDAG+vHnzEhkZmem+xuWZ1d9Ov4+3tzf79+9/YFse1wsdlNqzZw+1a9c2zRtHxuvSpQvz58+nffv2XLt2jeHDhxMZGUm5cuVYsWLFAwt+ZYfUlBJCvKyWLYPTp1Vm05Ur0K8fZDX+w6efQtpezDodnDmTGqS6eRNGjVI1CNK/J777LsTFwQcfwJo10KZN1m06csSNc+f02Nio4JKlJXTtqoJSsbHm2968Cbdvq99jY2HfvtRAVvo6mefOwcSJqh0JCWrZ+vUqKJX+xtKyZdC7twpURURA584qAOXurgJjhw6lbnv+PHTvruo06HTmx1m7FsLCoGBB8PeHkiWhZs2sz10IIYQQ4kX1oG5tmfnggw/o2rWrad7NzS3T7VxdXenatSsNGzakfv361KtXj3bt2uHl5QVAy5YtCQ0N5ffff6dDhw7Mnz+f2rVr4+fnZ3acMmXKmH7Pmzcv9vb2poCUcdmuXbvM9qlcuTK6NB/wqlSpwpdffklKSkqmNbDi4+OzHDHRGFhr2rQpH3zwgWm5o6Mjjo6Ome7zrNnZ2WXowvikvdBBqVq1av3nA71fv37069fvif7d0NBQQkNDiYmJwdnZ+YkeWwghnrR//1WZSOfPq6ljR1UnIDPDhpnXF3B0VFPx4rBxowriREWpoNOFC+b7GkfHtbRU3eNcXVXGkLOzCtCkVbs23L8ZRM2aKjPKmLE0fDj88EPqtvXrn+O33wpkOoJHxYqwd2/qfOvWKngEKmMpbdCsTx/z7Ke33lKZVKBqUSUkpBbwLFkSdu40b2/79up3vV4Fla5dU8c/edK8TYcOqXO3t4f8+dX0+eeqrStWQNpu+cHB5n8nrZgY1SZ394zBLSGEEEIIUJ/L0sqdO+ttz541n39Q77njxzMWOn9YRYoUQafTmRUzfxA3NzcKFy6crW3nzZvHgAEDWLFiBT/99BPDhg1j9erVVK5cGWtrazp37sy8efNo3bo1ixcv5quvvspwjLSfLY0jyKWl0+kwPGbBUjc3N27dupVheUpKCu3bt8fJyYk5c+aYrVu0aBG9evV64HH/+ecfqlevjqenJ4mJidy+fdssW+pBtbSNy69evWoK5Bnny5UrZ7btzZs3H1jb60l4oYNSQgjxKtM0FRg5cwYKFVKZO5lp3RqOHk2dt7SEMmVUgOrCBZUVNXNm5hlNYWHg46OCUnq92jcwUAWdVq+GtDUk334bJk9WdZvSB1GMwSMnJ/V3atQA43tenjxqMnrrLbXOzg5sbJKJjr4IFMj03IYOVbWhLC1VN720x0nvww/VsVNSVPaUT5pSVXq9CiIZNW4MNjYq6yo6WnXdMybm+vrCd9+lbtuli/l806bQqpXKzLpwQf28n6HN+vXmbTpyBMaNU/Wubt1SWWPFikHRovDrr+qa5skDJUpAvXoqYCeEEEIIYfQw8YKH2TaLJKWH4urqSsOGDQkLC2PAgAEZ6kqlD6Q8rMDAQAIDAxk6dChVqlRh8eLFVK5cGVBd+EqVKsXMmTNJTk6mdevWj3MqJjvT3U3csWMHRYoUyXKkwMDAQCIjI7l16xa500QM33vvPQ4fPsyePXsyZFI9TPe9oKAgrKysWLt2LW3udz0IDw/n/PnzWdbSLliwIJ6enqxdu9YUhIqJiWHnzp306dPHbNsjR45Qq1atB7blcUlQSgghXkDNmsGGDXD3rppfsEAFXHQ6FWxatUoFRM6fzxhoGjlSBbRsbFRgxttbdXVzdoayZc23f/tt1cUOoHp1NRk5OalAkJubmurXz/ou2tSpqo5UdkbCbdxYTQBJSRrLl9/OctsCBdSUHQULqik72rZVU3b0769qUUVFqalmTRWYyoyfn3lmV7lyUKSI+v3AAWjXTv2u16deyxs3VD0sa2vV1TBt8Mzo6lVVWytfPsmqEkIIIcTzIywsjJCQEIKDgxk9ejRlypQhOTmZ1atXM2vWLI4fP/7Qx4yIiGDOnDm0aNECb29vwsPDOXnyJJ07dzZtExAQQOXKlRkyZAhvv/22qYbT4zp//jyDBg2iV69e7Nu3j+nTp/Pll19muX1gYCBubm5s3bqVZs2aASrLa+bMmfz+++/odDpTHSdjEfOH6b7n7OxM9+7dGTRoEK6urjg5OdG/f3+qVKliCtCBKn4+fvx4WrVqhU6nY+DAgYwZM4YiRYpQsGBBPv30U7y9vWnZsqVpn7i4OPbu3cu4ceMe4UplnwSlHoHUlBJCPA3Ll6vAxKlTKvtp8GAVfDIyZg/r9arekzEgBar2U2SkygY6fFhlD3l5qaCTs7MKbBi1bq0yozLrFta4sQp8eHmpqVatrANJH32kpuwwdot7GVWokHWB9/TeektlQZ0+raYBA+D119W6WrVUt8jwcDh2TI1CmDbbe+NG1ZWyaFGVrRYYqGpXubrCnDkqi8rdXXUJbNVKrRNCCCGEyEmFChVi3759jB07lvfff58rV67g7u5OUFAQs2bNeqRj2tvbc+LECRYsWMCNGzfw8vIiNDQ0Q5e37t27s23bNt5+++0ncSoAdO7cmfj4eIKDg7GwsODdd9+l5wOGdLawsKBbt24sWrTIFJTauHEjKSkptGjRwmzbESNGMHLkyIdu05QpU9Dr9bRp04Z79+7RsGFDZs6cabZNeHg40dHRpvkPP/yQu3fv0rNnT27fvk21atVYsWKFWdbWn3/+SYECBaie9q70U6DTHrb6mDAx1pSKjo7Gyckpp5vzSkhKSmL58uU0adIk0/oyQjyvUlJU1pKDQ9ap0zVrwqZNqfPNmqnMmjNn1BQRobrLlSqlah4dO5a6bfnyKhOpShWVMaNpqYGgceNUvSdjVlHDhql1l553r/JzPiAA0pZgGDVKZUIdOAD798PBg6o2RJ48qmj6mTOp23btCulGQhbihfAqP+eFeBXJcz57EhISiIiIoGDBglkWzRYZffbZZyxZsoRDaUekyQGRkZGULFmSffv24evrm6NteRiVK1dmwIABdOrUKcttHvTYzG68RDKlhBDiKRo2DP78UxXDvncPvvwS7g8UyrVrquj1v/+q6eBB8323bFGBqEKFVCCpUKHU/v2dO6dmKVlZQenSKiBlnE9r6FBVs0i8WI4cUUGnY8fU1K6defdDgyE1i8044qDR/Pkq661dO/XYi4lRdcSsrFRwa/du1RWzRg0ICnq5M9mEEEII8WqJjY3l7NmzzJgxgzFjxuR0c/D09GTu3LmcP3/+hQlKXb9+ndatW9OxY8en/rckKCWEEI/g9u3UYEHJkqkBofROnFDBBaNx41TXu0mTVP2hvn1VoKFoURU02Lw5ddvAQFi3LvPjtm8PlSqpQFW+fKq2U1akxtCLycJCZUD5+0Pz5hnXGwNScXEqEy+tzz+HqlXV72Fh8NVXqth65crqMXnlCixbptaPGiUF1IUQQgjx8ujXrx8//PADLVu2fKJd9x5H2lpNLwI3Nzc+/PDDZ/K3JCj1CKSmlBCvtl69VA2ftPM6XWqQ6uhRGDJE1QhKW/cJVEZKcLD6PSBABRSMWSpr1sD48SpA5e+vsp+y4uenJiHs7eHmTZVVt2uXKqT+wQepQavx41XG1PbtavS/K1fM9z9+HJYuhZCQjMNInzypRhuUTCohhBBCvCjmz5/P/Pnzc7oZIpskKPUIQkNDCQ0NNfWRFEK8+O7dU1/ODx1SU5kyqotcWrduqaBT+i/1P/0EX3+tAlOFCkGJEqkBgU6dYMWK1G2dnVMLW+v15l/269VTkxAPS69PzapKn2VtZ6eypqpWVYFOY4YUqGysjRvhxx/V47dMGXjjDRXU0jSoU0c97mvWVI/NN94AD49ne25CCCGEEOLlJUEpIYRA1X764ovU+Ro1wNtbfRGPj1fBpvujtWboDmdhAfv2QbFiKmslrbp14X//U9lPxYplXeRciGchKAh++EF1E920SQVJN29WWVabNqnJmAS8ejVcvKh+X75cTY0aSVBKCCGEEEI8ORKUEkK8tOLjVVe6Q4dUEXF3dxV8MtI0SEhQmSSurub7btqkRqg7dUqtHzhQdWMqWVJ9aQ8MBEtLKFJELStVKmOBcVCBre7dn+ppCpFtefJAhw5qAkhMTM3wK1RIjdpnlLa+mdHYsfD99+p3TUsN0N67p4JWtWpl7AIohBBCCCFEViQoJYR4ac2dC/37p877+6vAlDFIdfiw+hL+1Vcqiym9TZtSfx8yJPX35GRVvLxIEam1I15sD3r8xsaaz1eoAGXLqt9v3oTixVO79eXKBW+9pboRVqigRoscNUqK7AshhBBCiAeToJQQ4oUTFQX796suc3fvQtqRXjVNdTnat09tk9aZMxAaqr5MlykDzZqpzA5Qv1tZQf78al2ZMmBrm/nft7RU2VFCvMymTIGhQ1Vx9DVr1HPktdfUOoMB+vRRy0NDU7v8GQyq2HpSEowenXNtF0IIIYQQLwYJSj0CGX1PiJyzdq15MXBbWxUgatdO1XZq1AhWrVLr3NzM99U02LIFKlfOeFxra1XQOVeup9d2IV40Hh7Qvr2a0nJzU5lQo0ZBTIzKjjp5MnX9sWNqWf36agoJARsbtW7zZrVt/frg4/PszkUIIYQQQjx/9DndgBdRaGgox44dY/fu3TndFCFeGpoGFy7Ab7+pujWZrQeV5ZRWQoIa4S4iQs0PGAB//aWOFRWlRsIrWhTatlWZG15eWbdBAlJCPLxcuVQ9qrSZhQMGqC6x336riv27uqrgFcC0aarOWoEC6vn8v//lTLuFEEIIIR6Wn58fU6dOfej9EhMTKVy4MNu2bXvyjXpKjh07Rv78+bl79+5T/TsSlBJC5LgLF1SwqEABaNNGFSP/5x+YPRt69YKKFaFcObVtvnwZ6+DMng2FC6vfmzaF5s1VNzydTtWOCg+HJUvg009VsXIhxJNjYQErVqhMwzVrVJe/0aNh0SK4cgUOHIDp08HJSXXv++231H3Dw1NHtRRCCCHEyykyMpL+/ftTqFAhbGxs8PHxoXnz5qxdu9a0jZ+fHzqdzmzKnz9/Drb6yZo9ezYFCxakatWqT+X4N2/e5I033sDJyQkXFxe6d+9ObPoCoekkJCQQGhpKnjx5cHBwoE2bNly9etW0vkSJElSuXJnJkyc/lTYbSVBKCPHU3bkDGzao0fDSS0pSGU23bpkvb9JEFSnfsUONbNejR2q2VIMGakS8KlVUPRtjwCozltJJWYhnwtZWZUWNG5eaNaXXq+Lob7+t5o8fV4GptD79FP79V/2+axecPp36XH/jDRWY/v57OHfu2ZyHEEIIIZ6cs2fPEhQUxLp165g0aRKHDx9mxYoV1K5dm9DQULNtR48ezZUrV0zT/vQFYl9QmqYxY8YMuj/FIbnfeOMNjh49yurVq1m6dCmbNm2iZ8+eD9znvffe4++//2bJkiVs3LiRy5cv07p1a7NtunXrxqxZs0hOTn5qbZeglBDiqdA01UWnRAlwdobatWHPHjV0PKjh46tWVdkTFSqooenT6t5dBbMOHoR586Bfv9SRvObPV+u2bYMZM6BSpWd6akKIR6Rpqitt7txq3ttbZU4VKaLmQ0NV1qOPj6oT9+OPMGeOGtnPz08Ft4UQQgjx4ujbty86nY5du3bRpk0bihYtSsmSJRk0aBA7duww29bR0RFPT0/T5O7u/sBjf/vtt5QsWRIbGxu8vLzo16+fad3kyZMpXbo0uXLlwsfHh759+5plDs2fPx8XFxeWLl1KsWLFsLe3p23btsTFxbFgwQL8/PzInTs3AwYMyFBL+s6dO3Ts2JFcuXKRL18+wsLCHtjOvXv3cvr0aZo2bWpaNnLkyAyZYTqdjvnz5//XJc3g+PHjrFixgv/9739UqlSJatWqMX36dH788UcuX76c6T7R0dHMnTuXyZMnU6dOHYKCgpg3bx7btm0z+7/Ur1+fmzdvsnHjxoduV3ZJUEoI8cgMBpXplBmdTgWNjh9PzXqoXx++/lr9bmenvmSOG6cKHw8YoJa7uKhC5tWrZz36XZ48qsuQEOLFUqqU6kp77ZoKUs+ZA61apQacV6+GpUtVnbjDh82zqvR62LhRjQZ45475cVNSYOFC1R0wfSaWEEII8TK7ckWNOp12MtZaTUjIuG7fvtR9w8Mzrrt5U627di3juitXHq5tN2/eZMWKFYSGhpIrk+KtLi4uj3bSwKxZswgNDaVnz54cPnyYv/76i8LGeh6AXq9n2rRpHD16lAULFrBu3To+/PBDs2PExcUxbdo0fvzxR1asWMGGDRto1aoVy5cvZ/ny5SxcuJCvv/6aX375xWy/SZMmUbZsWfbv389HH33Eu+++y+rVq7Ns6+bNmylatCiOjo6mZYMHDzbLCvviiy+wt7enQoUKAIwbNw4HB4cHTufPnwdg+/btuLi4mPYFqFevHnq9np07d2bapr1795KUlES9NCNIFS9enAIFCrB9+3bTMmtra8qVK8fmzZuzPL/HJR1bhBAPZcMGNe3YATt3QliY+gIZGQm7d6svmr16qQyI9ANUFi+uMqZA/TT+Diozol8/lSVh/IIqhHg5WVhAUFDG5S4uqi5c06Zgb69G9zPy9IQvvoCRI1WAqkQJ+OQT6NBB1a3q3Flt5+QE5cur+lYSvBZCCPGy+/pr8/dLUN3fv/8eLl7M/P3WeMO4a1f1mT6thQvhzTfh55/VZ/O0RoxQ78PZderUKTRNo3j6kYqyMGTIEIYNG2aaHzduHAOMd67TGTNmDO+//z7vvvuuaVnFihVNvw8cOND0u5+fH2PGjKF3797MnDnTtDwpKYlZs2bh7+8PQNu2bVm4cCFXr17FwcGBEiVKULt2bdavX0/7NEMRh4SE8NFHHwFQtGhRtm7dypQpU6hfv36mbT137hze3t5my4yBJYAdO3YwbNgwFixYQKlSpQDo3bs37dq1y/pigemYkZGReHh4mK2ztLTE1dWVyCyKd0ZGRmJtbZ0hMJg3b94M+3h7e3PuKdZRkKDUIwgLCyMsLCxDGp8Qr4LJk+Hvv1Pnx49XhY3vB+pxd1cZUd7e6o3uk0/UcktL8PeH0qUzP64UIBdCpNWuHTg4qEzKLVugY0eYMEFlX+7cqSZjN8AZM1L3i4mBEydUDapChTIe99o1OHJE1bpydX025yKEEEI8Lb16QYsW5suM74/588PevVnvO38+pB9Yzc9P/WzXTtVvTetBo1hnRjNGv7Lpgw8+oGvXrqZ5Nze3TLeLiori8uXL1K1bN8tjrVmzhvHjx3PixAliYmJITk4mISGBuLg47O3tAbC3tzcFpEAFZPz8/EzBIuOyqKgos2NXSXdhqlSp8sAR+eLj47HNogvI+fPnadmyJYMHDzYLQrm6uuL6nHxQsbOzIy4u7qkdX4JSjyA0NJTQ0FBiYmJwdnbO6eYI8URERqoveTt2QMmS6g4JqDspERFq+Y4d5im/ANevq7sxlSpBcLAaQc+Y6dS+PTg6quVly2bdHU8IIdIrUUJNgwerLnnx8SrzqVQpNaWtFZr+c1JkpAqW//QT3Lih7uoGBqrpyJHUrKoCBVQQ/X//e2anJYQQQjxRXl5ZB4tsbVX2cFaKFct6nbu7mh5HkSJF0Ol0nDhxIlvbu7m5mXXBy4qdnd0D1589e5ZmzZrRp08fxo4di6urK1u2bKF79+4kJiaaglJWVlZm++l0ukyXGR6zNoCbmxuHDx/OsPzu3bu0aNGCKlWqMHr0aLN148aNY9y4cQ887rFjxyhQoACenp4ZAmfJycncvHkTT0/PTPf19PQkMTGR27dvm2VLXb16NcM+N2/eNAvePWkSlBJCMHKkedpvpUpgZaWCSnFxqgixwaB+BgTApUup216/DmPGZB5w8vdXI+gJIcTj0Oshk1IUJj4+6gO5sdbFsGFqxE6Ay5dVraqwMBVk16eppnn+vMqqun1bdR1M79Ilta5YMRnJUwghhHhYrq6uNGzYkLCwMAYMGJChrlT6gEh2OTo64ufnx9q1a6mdth7IfXv37sVgMPDll1+iv//G//PPPz/SOWQmfYH2HTt2EBAQkOX2gYGBzJo1C03T0N2/e69pGm+++SYGg4GFCxealhs9TPe9KlWqcPv2bfbu3UvQ/f6a69atw2AwUCmLEaGCgoKwsrJi7dq1tGnTBoDw8HDOnz+fIRPsyJEjtG3b9oFteRzyEUuIV8CNG+qLWVZd59Jnhu7cqb7UtW+vvgiuX68yFtzcVIHhxo2hcuXUSTKghBA56Ysv1HTpEuzfr4JIBQqodaVLq8BTbCwcOqQyrNLesDV2A/T1VRmdZcuqYLq7uxr589NP1cAMZcqoouxDhuTMOQohhBAvorCwMEJCQggODmb06NGUKVOG5ORkVq9ezaxZszh+/PgjHXfkyJH07t0bDw8PGjduzJ07d9i6dSv9+/encOHCJCUlMX36dJo3b87WrVuZPXv2EzunrVu3MnHiRFq2bMnq1atZsmQJy5Yty3L72rVrExsby9GjR001o0aOHMmaNWtYtWoVsbGxppEBnZ2dsbOze6juewEBATRq1IgePXowe/ZskpKS6NevHx06dDAFri5dukTdunX57rvvCA4OxtnZme7duzNo0CBcXV1xcnKif//+VKlShcqVK5uOffbsWS5dumRWEP1Jk6CUEC+pI0dgyhTYulWNrFGyZGqBcuNUtix8+WXmab1pX1dr1Ej93dFR1XcRQojnTb58asqMgwNUrapqZZw5A4mJavnnn6si6gcPqmnOnNTRQI3d+uLjVfDK2xuSkyVrSgghhMiuQoUKsW/fPsaOHcv777/PlStXcHd3JygoiFmzZj3ycbt06UJCQgJTpkxh8ODBuLm5mbJ5ypYty+TJk5kwYQJDhw6lRo0ajB8/ns7G/vuP6f3332fPnj2MGjUKJycnJk+eTMOGDbPcPk+ePLRq1YpFixYxfvx4ADZu3EhsbCxVq1Y123bevHlmdbWya9GiRfTr14+6deui1+tp06YN06ZNM61PSkoiPDzcrDbUlClTTNveu3ePhg0bmhWCB/jhhx9o0KABvk+xALBOe9jqY8LEWFMqOjoaJyennG7OKyEpKYnly5fTpEmTDP19hblt2yAkJPN1Hh6qcOFrr0G3bqpLi7e3yiQIDlbZT717qy4xQuQkec6LpyEpSQXrDxyAevVUUCoz7u6qi3Jac+fC22+rANbZs1C9uso2HT8etm+HOnVUnaoSJWQk0Uchz3khXi3ynM+ehIQEIiIiKFiwYJYFs8Xz7dChQ9SvX5/Tp0+bFVJ/niUmJlKkSBEWL15MSBZfLB/02MxuvETu9Qnxgrl6VQWctm5V3VRWrUod9nz/fvjnH7Vu+/aM+374oQo2+fmZf1nS6VQWQL58MoS6EOLlZ2WVWjA9KwkJqtteWgsXQoMG6veff4Zx49TrZ7lyqp5VZGTq6KRDhqgsLCGEEEKIMmXKMGHCBCIiIiidVU2V58z58+f5+OOPswxIPSkSlBLiBXL9esY7+p07w/DhqobKDz/A11+rLKiBA2HJEtWND9SXqyJFoGDBzI9trL8ixFNx6xbcvAnR0WoqUkSNU5yZL76AXbsgLg6Lu3fJFxgITZpkvm1oKCxerPpUJSfDoEEwdmzm244cqZ4gFhZqatECpk/PfNtVq9Tk4qKmIkXgAWnZ4uVja6sKoV+7pjKqDhyATp1SC6WPGQM9e6pu0StWqJsCad28qboJFir0jBsuhBBCiOfSo3TLy0mFCxfO1miIj0uCUo8gLCyMsLAwUlJScrop4iWTmAh796r6T2kzHFNS1HdoNzdwdlbf6Y1WrVJd8IoVU8Gp8eNTs50KF4aoKNWNr1w5lR0gxBOzaZP61n79upratlUPtMw0b65S+IzCwqBvX/V7XJxKM4mPV7//+aepcJke8I6LQz99emrgKSUFevVS/VCPHVPDoxktWwZBQdC6NZw+rf6OMQi1bp1KZTHas0cFpezswN5eTSEhqs/WqlWq4JpR06ZZB6X++AMmTlTt8fBQxdpCQx/yYornlbu76o5Xv775cp1OFUfv0gXy5IEff0xdZ2UFCxbAN9+obKwWLaBjx9TMrK++gooV1Q0E6eInhBBCiFeZBKUeQWhoKKGhoaY+kkI8rgkTYOVKVXw8Ph4WLVJfcrZuVV31du6EU6cgb17V9e7gwdR969dXNVFAFfJNq1OnZ3YK4mWxbp1K77hyRQ3Z2LMnBAZmvu3gwbB7d+p8SgpcvJgapLp5E4YOVdXxo6Iy7nvvHrz3nkozuT8UbWY89+1Dd+QI2NioCtOWlioA5uFhHpAC1eZLl9Tvt26pJ5YxkJW+Df/+q/q0JiSkLlu/HmrVyljN/59/VPXradPg3Dl1XYxBqBMnzPvLVq+uhnjLrObDxo2qenbBguDvDwEBqpCbeKFVqaJet9evVw+58uVVV79Vq1SMddYsFW+dMgWOH1eZrKAeAr17q4eTlKYUQgghxKtIglJCPAf++ksFn4zeflt9X8+TR40WNWxYavZTnz7w/vuqGHlISMa790JkcPGiqsh8/ryaWreGokUz33bQIPOop729+rbs768CNV99pYI716+rSGlaaQvoODmp6s99+qigVPqIaXAwVKumfq9WTQXDjBlLn30Gv/xi2jSiYUMK/P575gVQK1dW/aqM2rWD/v3V7xUqwNGjqev69IG0wwF37aqyoQwGFZiKi0uNDAQEqGiwUUiIypYCtb2jo7qWe/aoa5vWwYPqXNzcVBfF/Plh1CgVqfjnH/j++9RtK1QwD+yldfdu6t8Sz7U8edRNgE6d1MARMTHq39amjZqSktS/E+Cjj1L3O30aPv5YZVsJIYQQQryKJCglxFN08SJs3qx6OdWoobpvgBrl7qef1LrNm1ViSlq+vipQVbRoxq4dXbqoJAwZklwAcOcORESoKvV58mS+TYMGKj3DSKdT2U/nz8OFCyor6osvVEDm2jXzfSdPVoXMPvhAfbO+fVsNyxgYqPoopQ1gdemi+o/myQPW1ubHqVRJFd2xtFR9UKtVU/2XIDXjyOiNN9TQZXZ2pNjYcDk+nixLng0apLa3tFSR27x5s75WAweqCEFKisqeMhb70etTu+8Z1a+vogu3b6vp9ddTu+8VLGgWNKNrV9VXy6hhQxXAunhRXd+LF1OjymvWmLcpPFxd+8GD1d/ZulX1xS1YUBWF69ZNFXwrUQJq11aZXeK5ptOph3haVlaqNBlkjGFaWKiHhfH9QQghhBDiVSJfa4V4SgYPNi9Js22b6ln0/vvqO3GfPqq+SLNm6gvMZ5+lbmtvr+pBZVZrREaBFYAKkmzcmBpEWrgQ3nxT/X75slpnDDqlH9N+6FAVcNHpVMApXz6V2uHkpDKELl9O3bZLF3j3XfV77dpqMho9WmXyuLmpqU4d8PLKvL2TJqknhJ3dfxfRadlSTYAhKYmby5dnvW2RImrKjmLF1JQdxrSX7OjRQwXdoqLUVL++qf0Z+PqqwnFGxYuDt7f6ff9+9YIAqquiMbJhzHBLSVFBuMwi0jduqOvq6pq9NosckZKiep7eu6fikaBq+Btjsjt3qnipcZCbK1fUv9TGJmfaK4QQQgjxtElQSohHlJICV6+mfp9ML319kEOHUsvOODurcje5cqn5u3dVLanq1dWXkawSXsRLbv169UA5dUqlzw0YkLG4tjGYdOaMeVbTu++qgMigQSro0amTeqAVKJAxktmiBUydqh686TOaGjVSD05vbxVgqlcv4zZGw4erKTvSd997mYSEpEYR/ku7dqo73+nTahowIDX4VbOmCj6Fh6sC7mmj2qAeH7lyqWh2YKCa3nhDpeDMnq36+fr6qq6Rr72m1onnioUFfPqp+ldt2wZ//62SC41x2m++gblz1cPpo4/UYJF796rSa337pr5nCCGEEEK8LCQoJcRDiIiAH35QXe62blXd69asUb8bu+JVqqR6PFWvnnH/ceNSf0/75SJXLpVIIl5imqaCSFZWkDt35tsMH25eYNvWNrXweESE+rl5sxqeMT7efN/8+dWoc6AydaKjUyOjY8aoB1+BAmqqXVtVzM/M4MFqEk9H+/Zqyoxer7pG+vioYOD06ebrP/hABQr374d9++C771KPZew+eO6cmhwcJCj1HNPpMo9lzpmj4onjx6sBK40+/FD18vztt+zHP4UQQgghXgQSlBLiIZw5A598kjq/b5/qWqFp6rti9eqq7jKoAby8vFTsoFo1tU5GV3oFffYZLF2qRnq7fVtFLN97T627eROWL1fr/v3XvO4TwOrVKgBRqJAqkt22bWpA6403VLqFUcmSKtMGVDArbXbUkCHqgStjz79YDh9Wj4tjx9TUubPq12uUmJiaxXbjhvm+CxaoulZt2qiAZkKC6rqo16uC9Pv3q0J31aurzCu9/tmdl8iSXq+CUc2aqaTFVatS1929m/X4BEIIIYR4+mrVqkW5cuWYOnXqQ+9bo0YNevfuTacXZHj0xMREihYtyi+//EKFChWe6t+SoJQQ98XHq3oeO3ao7/DG7+9nz8LatapY+aZN5vtomqoR1aePihuk/c6v08GuXaoXlHzfewklJKhuVkePqppGxqLd6R06pB4IRhMnqhpPY8fCpUvw1lsqelm0qBrhLm1woWJF9eDLTLt2UK6ceuD5+alaTVnJbNQ68fyztYUyZdSUGWNAKi5OTWl98oka2Q9UxtWUKaqbX0iIekxeuAA//6zWjx6t+pSJ54bBkDGGnJioYogjR6qnv7yvCCGEeFFERkYyduxYli1bxqVLl/Dw8KBcuXIMHDiQunXrAuDn58e5c+fM9suXLx8XL17MiSY/UX/99RdXr16lQ4cOT+X4c+bMYfHixezbt487d+5w69YtXIwjrDxAWFgYkyZNIjIykrJlyzJ9+nSCg4MBsLa2ZvDgwQwZMoS1WX0feUIkKCVeedHR6s70zp3qQz+oIrTGQa+++gqmTVPf/197DVasSC1QC6pOtL9/5sfOn/+pN1/khAEDICxMfXME6NdPVSI+dkwFqY4dU7WdQkJUAfG0NE2NpAbqp3HseFAPrpEjUwNU5cpl3YaHKfAtXm729upxdOKECoDu3QsjRqSO+DdihKqmvX07bNigAlJpnTql6lVVqmQ+AiGobfPlkwjIM2ZhoV4Odu5UMcMdO1TXvUmT1Ch9Y8aol4q2bdX2ly6p9yLjv1wIIcQrJP3IyblzZz1Md/ptXVyyvnl5/br63Grk7Jx1ndEHOHv2LCEhIbi4uDBp0iRKly5NUlISK1euJDQ0lBMnTpi2HT16ND169DDNW7wkb2zTpk2jW7du6J/S56m4uDgaNWpEo0aNGDp0aLb2+emnnxg0aBCzZ8+mUqVKTJ06lYYNGxIeHo7H/RFY3njjDd5//32OHj1KyZIln0rbAdDEI4uOjtYALTo6Oqeb8spITEzU/vjjDy0xMfGJHdNg0DQXF01Tr7pq0us17Zdf1PrISE27fTt1+5kzNa1/f037+WdNu3LliTVD5LSUFE3791/1j//0U0374YeM29y9q2n79mlaq1bmD5i0DyAvL02rW1fT1q1T+8ybZ75twYLP9LRedE/jOf9KW70644udq6v63cpK06pU0bSvvlLbGgyaVqCApuXJo2mvv65pX3+tadev52z7X1GRkam/b9+uaQ0aaFqTJmo+JUXTAgM1LSBAvS+lpORMG58Uec4L8WqR53z2xMfHa8eOHdPi4+Mzrkz7vg6aduRI1geytzffdteurLd1czPfdv36R2p748aNtXz58mmxsbEZ1t26dcv0u6+vrzZlypRsH3f9+vVaxYoVNXt7e83Z2VmrWrWqdvbsWS0iIkLT6XTa7t27zbafMmWKVqBAAS0lJUVbv369BmgrVqzQypUrp9na2mq1a9fWrl69qi1fvlwrXry45ujoqHXs2FG7e/eu6Rg1a9bUQkNDtdDQUM3JyUnLkyePNmzYMM1gMGTZzqioKE2n02lH0vxf5s2bpwEZphEjRmT7/LO6JoDZdc1KcHCwFhoaappPSUnRvL29tfHjx5ttV7t2bW3YsGFZHudBj83sxkskU0q8tGJj1ehGGzaoacwYVefp0CHYuFFNc+aokexz51blfoxat1alWADy5jU/bp8+z6b94hkbMkRVEjaqW1cVnA4JUX07S5VStXnS3jEysrRUBcpLlMhYxLxePZVuV7SoqulToMDTPQ8hHqR0afjf/1TB/E2bwMNDvVAeO5baR/nWLbXt+vVqNECAJUvUVLWqDA+aA9K+D1WuDCtXpo518MknqkQYqG59ZcuqUf18fJ59O4UQQoi0bt68yYoVKxg7diy5MhlCNjtdzDKTnJxMy5Yt6dGjBz/88AOJiYns2rULnU6Hr68v9erVY968eWa1kObNm0fXrl3NspVGjhzJjBkzsLe3p127drRr1w4bGxsWL15MbGwsrVq1Yvr06QwZMsS0z4IFC+jevTu7du1iz5499OzZkwIFCphleKW1ZcsW7O3tCQgIMC1r3749jRo1Ms1v2LCBt956i5D7o5ksWrSIXr16PfAa/PPPP1TPbGStbEhMTGTv3r1mWVV6vZ569eqx3Thc/H3BwcFs3rz5kf5OdklQSry0GjVSo+IZ9e8Ply+r4JO1tfpgf/26CkoNGQK9e6seKsaR1sVLIDkZTp5UkciDB1VV+vQjyyUnq6CSq6v58rVrVUGxU6dUvaY33wRfX1VQHFIr2huXBQdnnv6cP7/q7ifE8yBvXujeXU2govd6vQq6lioFffumbrt+vfm+Oh1MnaqCWuklJqrtq1fP2AVQPBV2dqoHsbE0mNGNG6qWoRBCCJHTTp06haZpFC9ePFvbDxkyhGFpBvIZN24cAzL5HB0TE0N0dDTNmjXD/34dlbRBn3feeYfevXszefJkbGxs2LdvH4cPH+bPP/80O86YMWNMgaDu3bszdOhQTp8+TaFChQBo27Yt69evNwtK+fj4MGXKFHQ6HcWKFePw4cNMmTIly6DUuXPnyJs3r1kwzM7ODrv79WBPnz5NaGgo48aNo379+gC0aNGCSpUqPfBa5cuX74HrH+T69eukpKSQN132Rd68ec26UwJ4e3tnqPX1pElQ6hGEhYURFhZGSkpKTjfllRYdDXfumNdtSkpS5VQ2boQrV8y3v31bDXpWs6YqnZJ2cLIWLdRxqlVT3aXFS2LmTHj33dT5okXVl/JDh1Knjh3ViHiZFQZbsyb191GjUn9PSlK1ewICwMHh6bVfiKftQY/fmzfN50uXVkX1Qb2gli2r0k/r1VOBqLZtVcQ/JAQaNDAfMUI8FZGRGUd1vXhRBao6dsyZNgkhhBBGWmY9DB7ggw8+oGvXrqZ5Nze3TLdzdXWla9euNGzYkPr161OvXj3atWuHl5cXAC1btiQ0NJTff/+dDh06MH/+fGrXro2f8XPMfWXSDCaTN29e7O3tTQEp47JdaQcsAipXrowuzeebKlWq8OWXX5KSkpJpDaz4+Hhs037xTMMYWGvatCkffPCBabmjoyOOxpqzOczOzo649APqPGFSufQRhIaGcuzYMXbv3p3TTXnl7NsH8+aVpHJlC1xd4YMPVCIMqBv+rq5QpQp89pmq25fWtWtqpLyaNc0DUqAGP2vaVAJSL4w7d1T3o2nTYNy4jOuvX4fVq+H4cfPlp05B587w668qzeCdd1T1elA/LSxUd6b69dWDJasv7FZWamQ8CUiJl1lYmMoWnDtXRTg+/RSMdy/v3YPXX1eB3c6dUytuGzOmfvxRAlLPgLe3uhHzyy+q93CpUvDnn9CypVo/e7Z5xvCuXakDegghhHhJREWZT8WKZb3t2bPm2z5oUJ3jx823rVr1oZtWpEgRdDpdhuybrLi5uVG4cGHT9KDuffPmzWP79u1UrVqVn376iaJFi7Jjxw5AjRzXuXNn5s2bR2JiIosXL+btt9/OcAyrNL0cdDqd2bxxmcE4sNEjcnNz45axNEIaKSkptG/fHicnJ+bMmWO2btGiRTg4ODxwepwudW5ublhYWHD16lWz5VevXsXT09Ns2c2bN3F3d3/kv5UdkiklXijbtun588/CpvmfflKxiQsXVHxg8mQ1enr58pCQoJJiAgNVIKpWrawHlxAvkPXroU6d1Hl7e9V9rnlz1Q2peXNYulStSx80MhjUA6ZatYzHtbGBq1elXo4Qafn6wttvqymtvHlTa7Bdu6Y+qJ46lbr+33/VC2+9eirIW6FC6khAO3eqD8V166r+0+Kx6PWqBmLLlipD2Jg9nJwM33yjbuZUrap6ZvbsqW7YvPuuGmH2KX/GFEII8Sw8zIv5w2z7BN6jXV1dadiwIWFhYQwYMCBDXanbt28/cl0pgMDAQAIDAxk6dChVqlRh8eLFVL5fYuOdd96hVKlSzJw5k+TkZFq3bv04p2Kyc+dOs/kdO3ZQpEiRLEcKDAwMJDIyklu3bpE7Te3Z9957j8OHD7Nnz54MmVRPu/uetbU1QUFBrF27lpb372QZDAbWrl1Lv379zLY9cuQIgU+5to1kSonnRlyc6i31zTepy+LjYd06NTQ2QKFC5pFqTVM384169FBd86yswNFR9T7ZulUl0zRo8EijmIpn6cYNVcF3ypSstylc2Hw+Lk59GztzRs1366ayNP79V/XxLFpUDWnfuLHqTvSgYisSkBLi4bm6qnTTtB/GundXy7/4QqWvurtDTIxa99VX0KGDWla+PCxYkDPtfslYWJh3Z7e0hN274a+/VODqzTfVy+Xly+qlsHhxyZoSQgjx9BnL3gQHB/Prr79y8uRJjh8/zrRp06hSpcojHTMiIoKhQ4eyfft2zp07x6pVqzh58qRZXamAgAAqV67MkCFD6Nixo6mG0+M6f/48gwYNIjw8nB9++IHp06fzbtpyIekEBgbi5ubG1jSpy/PmzWPmzJnMnj0bnU5HZGQkkZGRxMbGAqr7XtqMscymtOcTGRnJgQMHOHX/BuHhw4c5cOAAN9OUYqhbty4zZswwzQ8aNIhvvvmGBQsWcPz4cfr06cPdu3fp1q2bWfs3b95MgwYNHu+i/QfJlBI57uRJ1Ytqxw71AdnaGs6dUwktxmW1a6vC5Y0agYPDPWJjbQC1rYVF1r1Esui+K543Fy+qrApjYAkgKEhlU+zfr27137unHhA+PurbVnJy6rYzZqTWhEp/F2T/fim8LMTTZGGhRu2LiVFDna5dC59/rrrIJieryMi+far4UfrK3Pv3qyiJeCqMyaP166t4fNreAz4+6v3XOHaDEEII8TQUKlSIffv2MXbsWN5//32uXLmCu7s7QUFBzJo165GOaW9vz4kTJ1iwYAE3btzAy8uL0NDQDCPWde/enW3btmXade9Rde7cmfj4eIKDg7GwsODdd9+lZ8+eWW5vYWFBt27dWLRoEc2aNQNg48aNpKSk0KJFC7NtR4wYwciRIx+6TbNnz2ZUmvq3NWrUAFJHHARVUP369eumbdq3b8+1a9cYPnw4kZGRlCtXjhUrVpgVP9++fTvR0dG0NZZpeEp02sNWHxMmMTExODs7Ex0djVP6SqMiW4zlRxo3VllPRo6OqmdH7dpqKllSfbhOSkqiS5dT+PsXpW5dCypVUt97xHPu3j1Ve6ZMGdVNLi2DAcLDVZ/2zG7bFy6s+mBWqKCKiOl0qgDYypXqgVG+vIpq3h85Q7xckpKSWL58OU2aNMnQz1+8gI4fV8WP0vv3XyhSRI2S6eGhMq9Apb86OqpR/apVk/5mj+j8eVX6a+PG1GW5c6sgVeXK6jK3bZtaNP2vv1JrNGbRG+Gpkee8EK8Wec5nT0JCAhERERQsWDDLotkio88++4wlS5Zw6NChHG1HZGQkJUuWZN++ffj6+uZoWx5G+/btKVu2LB9//HGW2zzosZndeIlkSomnJiVF3QRfv15Ns2dDgQJq3apV8OWXsGWL6k5gYaG2N+rfH8aOzfy47dv/S5MmhbGyesaflMXD0TQYMEBlNx06pAJO27apAuGWlupBMHEi7Nmjutml16WL6uaTWfX5//1PfaOSN2UhXiyJidCkiYqO3L2ralN9+WVqt9wePVRmVeHCKtD8/ffqzcHYpXfjRrh/909kX4ECKolt506VWBoerrKRly5VL6fvvKPeo3ftUvcJ+vVTtRrz5FE3hj77THX3E0IIIV4EsbGxnD17lhkzZjBmzJicbg6enp7MnTuX8+fPvzBBqcTEREqXLs1777331P+W1JQST4WmqQ+wFSvChx/CP/+oLgQ//qjWJySozKcRI9SH4IED1XK9HoKDVW1d8QLQNPUNJjM6nRoBb8+e1Ayohg3VNx/jegcHlf20ciX07q2W29qq2/NVq2Y9HKKXlwSkhHgRlS0Ly5apgn8bN6qigG+8kdoH+6+/VPe+hg1V1CTt3QqdTgW5d+5U2ZdppaTAb7+prsCSAJ6lSpVg4UJ1GW1sVIH0f/5RXeaNZSZ++UUFpECV+fvlFxkkRAghxIulX79+BAUFUatWrSfade9xtGzZkurVq+d0M7LN2tqaYcOGPbFaXA8imVLikWmaijWk7Y1lMKjJ0jJjL61r11IHQ2vRQk1GuXKp0fGqV886DiGeEzt3qvox27erbzaTJ6uixdHRKgC1e7cqNp43r3ndJ1DRRuNwsvXrq8nI3x969VJd8uQb0CvtXvI94pLiiEuKIzo+mpjkmCy33X1pNxG3I0gxpJBsSKaEewmCvIMy3fZI1BHO3DqDhc4CC70F3o7elMlb5mmdhngQa+vMM548PeH119X02WcwfHjqOg8P+PTT1OKD5cqpux5t2sCRI+qn8Rjly6sA17Pue/aC0Ke7JenjoyaAvXszbt+qlUp4BTh6VN10srBQscW+fdX7d82aanlWNR6FEEKIZ2X+/PnMnz8/p5shskmCUuKhnD2rel0Zu+T17as+rBrnN25UvS2aNFE9L44eTd3XykqVAspMiRKZlxkRz6HRo2H58tT5CRPUsuPH1byjowo85c2rhntKU3SPAgXUl8XMGAuVi5fSvP3zOH79ONEJ0UTfi6Z7YHfq+9fPdNvWP7dm+cnUx1hnr850oEOm287YPYPvDn5nmv+g6geU9yqPLpNvxt/u/5YpO1JHduxYqiOL2yzO9Lifb/mcsZvH4mLrgoutC3X86vBV468y3fba3WtExkbikcuDPPZ5sNTLW+sT0by5uvuxebMKgnfsqAqoHzyoguM7d6be/Zg2LXW/yEjVdzwyUo28md7Nm6rCd+nSMghCJvz91aU5fFjNt2ihelWCuqSlSqmbR9Wrq9HCf/pJTaDigSdOyM0lIYQQQmSffHIWD2XKFPPP/tOmqS541taqWGr//qpWLcC778KcOVC0KNSpo+pSaJrcRX1uRUerLKcdO6BYMZWpYBQZqZbv2AHHjpnvd+WKGvFuyBDV97JYsdTb8J06qUr0FSuq0fTkm8oLxaAZMGiGLIMs7/7zLvsi93E97jrX464T1iSMdiXbZbrt3P1z2XohdShcawtrvB29KelRkkNXD7HgwALik+OJT47n0FXzYpRLry2l1OxS3Eu5R7IhmRQthfVd1lPcrTi7L+0223bStkno0DGh/gQ2n9tM/YX1sdBbYKm35F6yeZevtRFrCQgLwN7KHjtLO+yt7JlYfyLlPMux78o+YhNjiU2M5WLMRaz11uy6tIvgfMHcS77HxZiLeOTywMHagd+O/0bvZar7qQ4d9f3rs/LNlZleh/ikeAyagVzWuR588YXKhCpXTv2elKQKENrYqNeZ4GD1hmN05475vleuqH7hS5aoINSECWrAhPLlVSpQp07qdapoUahXD6ZPf0Yn9fzr2VNN587BunUq+8k4Yrerq7r5ZJy+/958Xzs7tV/p0vJeL4QQQojskaCUMHP5sqolUalS6rJ//03NhFqZ7ntWTIxKmqlZM+MN54AAuHRJDUMtnnNjx6puMcZaLNWqqS9/LVqoYsT58ql+mV5e6jb62bOp+966paKV6ftrgvrCN2TIMzkF8WT0+rsX+yL3ceXOFSJjI1ny+hJaBbQCVJDqZvxNou5GcT3uOqvPrOb49eOmfb/Y9gXzD8znRvwNrsdd52b8TY71PYaXoxdnbp0x+zsLDy0kwC2Akh4liYyNZNnJZdhZqcBQssG822duq9w0LdIUOys7LPWWWOotyW2bG4CCLgXN2lDbrzavl1QB1UK5C/FFgy9UIMuQwq/HfmX7pe2mbQvnLkyl/JWIS4ojPjmeuKQ4rPSq6+i1u9fM2rAvch/f7v+W4HzBhN8Ip+zssgDYWtpiY5H62NfQuBRziak7ppLfKb9p8nLwwkJvwU9Hf6Lbn93wyOWBf25/qvpU5YsGXzzaP+tVYmX14KC2hwe4uMDt22p+8GAVWQH1pvbDD2pgBVB3UUC9pp04odJ94uMzH8r16lW1ztf3lYuy+PqqnthpGXtd1qih3jICA+HAgdT1kZGqbFj+/PDaa9C+vcqa1ushIkLFCqtUeeUupRBCCCEeQIJSglOn1AfP8HBV98nXF8aNUzeSQfWgOH0aKlSArl3VgGjG2EVSkqoTlVkPCJ1OAlLPjdhYFXEsWjTz9Q4O5sWBt2xRX+RatFAFv5YtU7We8udXkchatVRqXJUq6qfxS554Lk3cOpHDUYc5H32e89Hnmd10Ng0LNzStT0xJxEpvhU6nY+uFrRy9ltrvdsSGEeh0OloWb8n3h76nyx9dsvw7V+9exdvRm9IepXGzd8PVzhU7K/VFv6J3Rf769y/TtqEVQ/mo2kcANPBvwIl+J0zrei/tzdd7vzbNF8tVjAl1J2Q6VHRwvmDORp/FUm+Jhc6Chv4NqeBdAYB8TvnoF9zPtG30vWgi70aSoqn6U42LNGZYjWGZnkuAewAbzm0wzQ8IHsDn9T4HVCBszVtruBZ3jai7USw8uJA9V/aYtr0Rf4OP135MfHK8adnyTstpXKQxf//7NwBRd6OIuhtFQnICkbGReDp4ZmjDkagjrDq9ihLuJSjhXgIfJ59MuyUKVJXuadPUG9r+/VCmTGrabtmycP48XL+uIij9+qk3PKOdO9VrYLFiatuyZVV/tTx5YO5c+OQTNdpnuXLqNdE4Moegf3+VTbVxo6oxv22b+hyxdCn8+it8/bWK67m6qpjg7Nkqcfb991UJMEv5FCqEEEK88nSaJsPUPKqYmBicnZ2Jjo7Gyckpp5vzyC5dUrGGtPR6tdzTU9WF8vEB4yk2a6bKBhm75Pn7P7u7nklJSSxfvpwmTZpk+gVVpHH8OMyaBVu3qhosJUuqYJOxi96OHao4yLhxaqzw2rUz7i9jgD+3jkYd5eTNk5y5dYYzt87QpWwXKuarmGG7FEMKFb6pwIHIA6Zltfxq4WLrwvno81yIvsC1uGtcGnQJb0dv8k/Oz6U7l0zb+uf2Z3LDybQo1oLz0efZc3kPeXPlxT2XO2M2jWHhoYWmbUMrhjKjyYxM2/u/ff9j47mNONs442zjTLUC1WhcpHGm216Pu05iSiJ2lnZYYcWalWto2rTpM33OX4i+wIWYC9xOuE10QjRF8hQxBbvS6/5nd7498K1p/uNqHzOmzhhuJdziYsxFLsZcpFK+SuSxz0Pt+bXNgl0AfSv0JaxpGOHXwxm0ahDF8hSjhHsJjkQd4audqXWsavjWYGPXjU/lfF8ptWqpwRqMH3/GjFGZVgcPqunQIRXccndXb3Bn0mT5tWmjRgdMXyn8FadpKoHWzy/184DBoN5GSpZUvcNz5za/99G9O/zvfxmPJe/zQrxa5DmfPQkJCURERFCwYEFsZQRq8Rx50GMzu/ESuUcl8PRUHyLTflicMUMtB/WBMq2lS59d28RjuHHDvE7KoUOqe4vBoCKMwcGq8Dio/pfu7qrrS/nyKvvpGQz/KTJn0AxcvnMZB2sHXGxdMt3mjd/e4ODVg6Z5PXocbRwp7lacTec28cm6TzgffZ5LMZdI0VLM9j1x7QTlvMpRwasCrYq3wtvRGwdrNTRm0yJNmbNvjmnbmr41aVFMDZVZwLkABZwLmNZ1KduF4HzBuNm74WbvRmHXwlme0zvl3+Gd8u9k6/zd7N1MvyclJeVIdpCPsw8+zj7Z2nbua3P5uvnXXI+7TtTdKHLb5kan0+Fq54qrnavZCH/21uZppYOrDCY0OBRQGWs6dPz9799M3TEVDfN7RtEJ0czZO4dynuUo7VHalIUGsOncJrZd2EagZyDB+YLJbZf7UU/95bdhg+qWfOSIypxq3tw8rTdt8cOYdCM//vorzJ8Pb7+t7thcvqwyRh0c1Eiku3erAH/9+lCw4DM6oZyn02U8Xb0+9fPDH3+Yf8YAlcwmdSaFEEIIIUEpIC4ujoCAAF5//XW++OLVq+1hYaFqUO+53/vE2VmNuC2eUzExKstp61bVTeX331OHPT96FFavVn0otmzJuG///qpbSkCA+Z1+nU6NcOXrC3L3Jcf0X96ftRFrOX3rNIkpifyv+f94O/BtbsTfIOJWBGdunaFxkcY42ThlKNo9ffd0nGydGFNnDA7WDvg6+1K9QHUKOBdgxakV/Bn+p2nbuoXq8n3r79P/eQDeLPMmQd5BeDl44eXoha+zb5btrVuoLnUL1X0yJ/+Cs9Rb4ungmWk3vLR+bvsz56LPcfrmaU7fOk0tv1r4ufgBUDpvaZZ2UlH/+KR4qsytYhZ4vHLnCn2X9SVFS0Gv01PcrTgr3liBj7MP8w/MZ96BeaZtu5TtwvyW85/4eb40cuVSxRPTFlA0MkZJEhIyRlK+/hoa38/w++471SfN0lId59w51Yftxx/V+k8+UVlYAjs7lUVlLEeYO7cqkp62Vr0QQgjxIvDz82PgwIEMfMju/ImJiZQoUYLvvvuOqlWrPp3GPWHXr1+nRIkS7Nu3j/zpu1Y9QRKUAsaOHUvlypVzuhk5atQoSE5WJTUKF06NcYjnzLVrKoXNYEhd1qsXfPSR+sfNm6fS3CpWhLfegj//TK2dYmmp/sHpU9+MihV7+u1/BcUlxXHyxknCb4QTfj2cuoXqUtUn4xvRrfhb7I/cb1a0e8SGEby38j3uJKaOLLaj+w4q5a9EodyFOHEjtQ7Ta8VeY2StkQCU9ypvFnTK75Sfgi4FTZlOAe4BWba3um91qvtWf5xTFg+QyzqXqUbUg9hZ2VHbrzZ2VnYcu3aMmHsxfPvat9QpWIcjUUc4EHmAA5EHyOuQF4DfT/xutv+lmEucu30OX5eMQcXz0edxsHbA1c71yZ3Yy8jWVr3mnj+vbgAcOADvvJMa0B8/XhVa3LABVq1SNwrSunlTVfb28nrGDX/+tGunBmn9/Xf44gtVW8pYO377dpXUO3GiKiVw5w7cvSsfT4UQ4mUSGRnJ2LFjWbZsGZcuXcLDw4Ny5coxcOBA6tZVNzj9/Pw4d+6c2X758uXj4sWLOdHkJ2727NkULFjwqQWkjNf3wIEDWFtbc9s4+MsDaJrGiBEj+Oabb7h9+zYhISHMmjWLIvfrcrq5udG5c2dGjBjB3Llzn0q7QYJSnDx5khMnTtC8eXOOHDmS083JMU2a5HQLBKCCTUeOQKFCqjuIkbGPg7u7KugVHZ26bskSeP11FZT65BM1kp5xJLzixVX3kpAQ1V0vs4r04qlq83MbVpxaYZq/fOcyrnauFHcrzrFrx+jxdw/+vfEv1+OuZ9jXxdaFdyu9S6HchSiUuxAFcxc0dedrXqw5B68eNK2r6VsTS33mL+nNijajWdFmT+X8xNMzpdEUQH1guHznMi62LthZ2VExX0Wz+mGappFiMO+iufHcRg5HHcbXxZclR5ew+fxmKuevTPUC1flk3Sd8f+h7SnuUpnqB6rxZ5k2q+FR5puf2wtDpVPTE1xdatjRfp9errNOAAJUG9McfqessLVVW1axZ6rW3RQsVmTEWX//mG7W8TJlXpv+apaV6q3r9dfPl16/D2rXqvsjHH0NkpJ6FC+uSmKijS5dX5vIIIcRL6+zZs4SEhODi4sKkSZMoXbo0SUlJrFy5ktDQUE6cSL3JOnr0aHr06GGat3hJMiU0TWPGjBmMHj36qf2NxMREXn/9dapUqZLtANLEiROZNm0aCxYsoGDBgnz66ac0bNiQY8eOmepDdevWjaCgICZNmoSr69O5oflCV+rctGkTzZs3x9vbG51Oxx9pPxDeFxYWhp+fH7a2tlSqVIldu3aZrR88eDDjx49/Ri0WIgtffaUqyOfJo0Z+WrVKdb+bMEGNq503r7pjDxmr0jdvDg3vj6SWO3dqQArUsIqffKIK+0pA6onZd2UfM3bNoO+yvtScX5NZu2eZ1mmaRtTdKGITYwHQYf6Navbe2YzdPBZQQSf/3P68W+ldfmr7E59U+8Rs29x2ufkg5APalGhDoFegWX2pXkG9uDjoIpu6bWJ+y/l0C0w3drt4aeh0OvI55SOXda5M18cnx/NmmTepnL8yNhbq+X96wGka+DcA4FrcNf459Q9v/PYGBaYW4IfDPwBwOOowM/fMNCuCLx5RYCDMmQMdO4Kbm3pNjopSXfx8fFRW1bRpattTp1SGa7lyapo1S9W4ekU1bw7//gu9e8PIkTBjhp7oaFu6dbOkQQPzOvNCCCFePH379kWn07Fr1y7atGlD0aJFKVmyJIMGDWLHjh1m2zo6OuLp6Wma3N3dH3jsb7/9lpIlS2JjY4OXlxf9+qWOujx58mRKly5Nrly58PHxoW/fvsTGxprWz58/HxcXF5YuXUqxYsWwt7enbdu2xMXFsWDBAvz8/MidOzcDBgwgJcX85t+dO3fo2LEjuXLlIl++fISFhT2wnXv37uX06dM0bdrUtGzkyJHodLoM0/z58//rkmZq1KhRvPfee5QuXTpb22uaxtSpUxk2bBivvfYaZcqU4bvvvuPy5ctmcZWSJUvi7e3N77//nvXBHtMLnSl19+5dypYty9tvv03r1q0zrP/pp58YNGgQs2fPplKlSkydOpWGDRsSHh6Oh4cHf/75J0WLFqVo0aJs27YtB85AiPt+/lnVgTJ64w1VzyRXLlV0vHfv1NomoaFqSPKgIJUB1aBBjjT5ZZeUkoSVReajwHy952uzYuAGzcChq4c4dv0YR6OOciP+Bj+0+YEOpTrg7ehttm/RPEWZ2nAqAN6O3nzX6jvTuiCvIPxd/Smapyj+rv7kzZU3y/blRPFv8Xyyt7JnZtOZgCqWfuzaMbMi7X0r9qVvxb5cu3uN347/Ru9lvc32H7Z+GOvOrqNGgRrU8K1BKY9SWOjVnclpO6fh5eBFnYJ1yGOf59md1IvG01PV6+vRA1JSVNe9PHlUN+q33oL4+NTA04cfpr6eHzoEAwZAq1bq9f4V5eysuvXt3Albt6a+tq1f/0rH64QQInuuXFFTWrlzqxEoEhLg2LGM+5Qvr36Gh2d8ofXzA1dXdUP8wgXzdV5eD9Ut/ebNm6xYsYKxY8eSK5P3ORcXl2wfK71Zs2YxaNAgPv/8cxo3bkx0dDRb03Sl1+v1TJs2jYIFC3LmzBn69u3Lhx9+yMyZM03bxMXFMW3aNH788Ufu3LlD69atadWqFS4uLixfvpwzZ87Qpk0bQkJCaN++vWm/SZMm8fHHHzNq1ChWrlzJu+++S9GiRalfv36mbd28eTNFixbF0dHRtGzw4MH07p36mWzRokUMHz6cChXUaM/jxo1j3LhxD7wGx44do0CBAg/cJisRERFERkZSr1490zJnZ2cqVarE9u3b6dChg2l5cHAwmzdvpnv37o/0t/7LCx2Uaty4MY0bZz6kOKjoaI8ePejWTWUQzJ49m2XLlvHtt9/y0UcfsWPHDn788UeWLFlCbGwsSUlJODk5MXz48EyPd+/ePe7dSy0uHHN/VJ6kpCSSkpKe4JmJrBiv8wtzvW/cQLd1K7qtW9EqVUIzBk/v3kW3dCm6rVvRb9kCR46Y5dMYfHxI+f57KF1a9XkwSkpSd+LffNO8IPmLcj2eY5vPb2bpyaUcjjrMoauHaBvQ1hQ8SkpJYsO5DRy/fpxj14+xLmKd2b5Hoo4QnRBNgFsAtSvWJsAtgKr5qpKUlETb4m2Zu38uBZwKUDRPUcrmLYuTlVOmj+ECjgV4s9Sbpvnk5OSnes4vghfuOZ/DdOgomadkptfLxdoFH0cfbC1tSUhOAMDZxpnu5bqz7cI2Bq8eTGJKIq8VfY0lbZdw594dhqwZQkJyAjp0lPMsx/+a/Y/SHtm7A/dKc3Exf122tFSRl6QkLM6cMUtT16ytSdmwAa1Nm2fdyudKXBw4O1uQNonf1lbjr78MFCpkwNo659omhHh65H0+e5KSktA0DYPBgCFtbVlAN3s2unTdwrROndAWLoTz59EHBWU4nuF+5o+ua1d06bKVDAsWqO8aP/2EPt2IFNrw4WgjRmS73f/++y+aplG0aNEM7c7MkCFDGDZsmGl+7Nix9M9iVIwxY8YwaNAgs/VBQUGmvzNgwADT8gIFCjB69Gj69u3LjBkz1HkaDCQlJREWFoa/vz8Abdq04fvvv+fKlSs4ODhQvHhxatWqxbp163g9Tf/zqlWr8uGHHwJQuHBhtmzZwuTJk031sdI7e/Ys3t7eZtfA3t4e+/s9WXbs2MGwYcOYN28eJUqUwGAw0LNnT9q2bfvA6+Xp6Znhuhrn/+t6X758GQB3d3ezbT08PLhy5YrZMi8vLw4cOJDpMQ0GA5qmkZSUlKG7ZXaf1y90UOpBEhMT2bt3L0OHDjUt0+v11KtXj+3btwMwfvx4U9e9+fPnc+TIkSwDUsbtR40alWH5qlWrTA8o8WysXr06p5vwnwIWLqTor7+a5m/5+3N+3TrONmmCVWwsjTt35q6XFzdKlCDR358if6aOjnY3Lo51Fy9mvOshHpmmadwz3MPWIvPRBZdELmFR5CLT/I8Hf+TC+Qt0z9edZC2Z9gfbY6GzIL9tfhwtHM32jb8XzyivUeh1eogBYmDfmX0AJBmS+KnMT9jo73erTIDly5c/lXN8mb0Iz/kXxcISCzkdf5pjscdI1pIJiQ8hxC2Ee673OBl3EkvNkuXLl/P3tb9NwSsNjf2R+9myeQsX7C78x18QWUpJoYS/P/kuXcL+uqojd7V4cSKOHydq+XKcT58GIPr+h2PrmBiScuVCe0lqavyXnj2hTBlPvvmmDHq9geDgqwwf7sfXX8fTq9chSpW6kdNNFEI8JfI+/2CWlpZ4enoSGxtLYrph0nUdO6KvU8dsmebigiEmBpycsNiwIcPxUu4nV+inTUMXF2e2zlCgAFpMDLpGjdCn29eQNy/a/X2zw9hdLj4+3pTQkRWDwUD//v3p1KmTaVmePHky3e/atWtcvnyZypUrZ3ncDRs2MGXKFE6ePMmdO3dITk4mISGByMhI7O3tSUhIwN7eHnd3d9MxXFxcKFCgAAaDwbTM1dWVy5cvm+YNBgPly5c3+7uBgYHMmjUry7ZER0djYWGR6foLFy7QqlUr+vXrR6NGjUzbWFpa4uHh8cBrFpfufweQkJCApmn/eb3v3s+Qu3PnjlkWW3JyMjqdzmx/vV7PnTt3Mj1mYmIi8fHxbNq0KcMN9czal5mXNih1/fp1UlJSyJvXvPtL3rx5zYqpPYyhQ4cyaNAg03xMTAw+Pj40aNAAJyenx2qvyJ6kpCRWr15N/fr1sbLKvGvVM6NpcOuWSm/NhG7/fkgTlHI5fRrnIkUocb+qfHLdutjkyYM3wJ07pHz8MVpICFq1atjmz4/Unn98uy/v5sejP3I46jCHow5TwasCf3f4G4Nm4OztsxyOOkzeXHmpnL8yB7cchMjUfW+n3MYjnwdN7v+/wquFk88xHxZ6Cy7fuUzLn1sS4BZACfcSBLgF0KhwoywLjYtH91w9518xm9dthkvmy+bdnseuNrvQNI1/Tv9DSP4QnG2duRp7lf4r+1PXry51CtahcO7C0sU0K82bg8FA8tq16JYvJ8/kyeS5f60s3nkH/XffYahXD8MHH6CfNw/doUMY3nsPQ7du5jUDX1L16ydRtuw6/P3rUK6cDwcPptC/vwPDhlVj3LgUBg9Wd2n/+UdHgwaajBYsxAtO3uezJyEhgQsXLuDg4GAqQG3i5ARFi2a+o5MTPCiwkUkWldm+hQo9fGPTKFeuHDqdjvPnz//n92W9Xk++fPkoV67cfx7X+BnD3t4+0+OePXuWDh060Lt3b8aPH4+rqytbtmyhR48e2Nra4uTkhK2tLVZWVmb729raYmNjY7bM2toavV5vWqbX6zNsY2tra7ZNet7e3vz7778Z1t+9e5e33nqLKlWq8Pnnn5t9dkqbQJOVI0eOZOi+Z2tri06n+8/rbcwOi4uLM9v25s2blC1b1mzZ3bt3yZs3b6bHTEhIwM7Ojho1amR4bP5XYMxIvkHd17Vr1//cxsbGBptMPhBaWVnJi+gzlmPX/MIFFWjavFkVIvf1hY0bVSGMzZvVVKECjBsH6Yb71AG66dPRG9vt6Zm60tVVjZEtHlqyITnLYNDZmLNM3z3dNL/z0k5qfleTw1GHTYXIewf1pnrB6jQv3pwRm1LTkQ2ageG1hpseZ/5u/qZ1vq6+7O+9/2mcjsiCvM4+exXyVaBR4UZsOreJuKQ4+lXsxzvl38HKyorw6+G0/LklFjoLKuariGcuT/4I/4M/wv8AoJRHKQ71PiSBqQdp0gSaNMEspjJ3LjRpgv7zz9EbB7AALAYMwGLSJFV/sHLlZ97UZ83OLply5SyxsrKiQgXYuhW+/RYqVbLAysqCRYtUz5Jy5WDiRKhXT0bpE+JFJ+/zD5aSkoJOp0Ov16PXvzhjlbm5udGwYUNmzpzJu+++m6Gu1O3bt83qShnP8b84Ozvj5+fH+vXrM+0yt3//fgwGA5MnTzYd75dffgEwXUPj8rR/z/i5Jf2y9O3auXNnhvmAgIAs216+fHlmz55tOhaoXhydO3fGYDDw/fffZ+j61qdPH7M6VpnJnz9/hr+Z2Xllxt/fH09PT9avX0/5+zXGYmJi2LlzJ3369DHb/+jRo9SqVSvTY+r1enQ6XabP4ew+p1/aoJSbmxsWFhZcvXrVbPnVq1fxTBsMeARhYWGEhYVlqMIvXgHHj8N776XOX7tmqhOCi4sqPF68uFpXv74aNS8mBqpUgerVwc4uR5r9MrkUc4mfj/7Mvsh97LuyD71Oz+E+h03r10WsY+v5reyP3M+uS+ajbd6+d5t8TvloVbwVZfKWoUzeMng6qNeDcp7l6FCqA0Vci1A2b1nK5C1Dfqd0Ix0K8QrpUKoDHUp14F7yPXZc3IG3ozdF8hQBoJhbMU4POM2aM2tYc2YNf4X/Zbavpd6SY9eOUcK9hASmHoalJbRvD+3aQePGsHJl6rrr11XR2leQXg/vvKN+v3cPjHVWDxxQY3107w7/+1+ONU8IIcQDhIWFERISQnBwMKNHj6ZMmTIkJyezevVqZs2axfHjxx/puCNHjqR37954eHjQuHFj7ty5w9atW+nfvz+FCxcmKSmJ6dOn07x5c7Zu3crsJ5gAsHXrViZOnEjLli1ZvXo1S5YsYdmyZVluX7t2bWJjYzl69CilSpUytX/NmjWsWrWK2NhYU1dHZ2dn7OzscHV1xTWLHjmZOX/+PDdv3uT8+fOkpKRw4MABQNW8cnBwAKB48eKMHz+eVq1aodPpGDhwIGPGjKFIkSIULFiQTz/9FG9vb1q2bGk6blxcHHv37v3PouuP46UNSllbWxMUFMTatWtNF9VgMLB27VqzoSIfRWhoKKGhocTExODs7PwEWiueC8nJsG8f7NgB/fun3na9cgU2bFBZUBs3mu+jaWpo7x49oFQp9cnZSKdT+/j6IhVan5xLdy4xaNUgs2UNFzbk9w6/Y29lz6Rtk9h5cSflvcrTvlR7ZuyaQWJKat/73kG9qVso4x0VnU7HD21+eOrtF+JFY2NpQ02/mhmWF8pdiJ5BPelRvgc+U3y4dCe1r9/RqKOUmlUKb0dv6hWqR/1C9Wlboi22lrZM2zmNP078Qf1C9alXqB7lvcqbRvsT9xkMqvJ3Wikp0LAhjBoFLVq8sqlBs2erwFRaJUrkTFuEEEL8t0KFCrFv3z7Gjh3L+++/z5UrV3B3dycoKIhZs2Y98nG7dOlCQkICU6ZMYfDgwbi5uZkKg5ctW5bJkyczYcIEhg4dSo0aNRg/fjydO3d+Iuf0/vvvs2fPHkaNGoWTkxOTJ0+mYZoM5/Ty5MlDq1atWLRokalL3saNG4mNjaVqut418+bNy1YvrvSGDx/OggULTPOBgYEArF+/nlq1agEQHh5OdHS0aZsPP/yQu3fv0rNnT27fvk21atVYsWKFWTe8P//8kwIFClC9evWHblN26TTNOC7xiyc2NpZTp04B6qJPnjyZ2rVr4+rqSoECBfjpp5/o0qULX3/9NcHBwUydOpWff/6ZEydOZKg19SiMQano6GipKfWMJCUlsXz5cpo0afLkUnyjo6FDB9Ud736EmkmT1Ch3+fKp4bqnT4dixVS20/r1cL8YLQDjx8NHHz2ZtryiEpIT2HJ+C7sv7Wb35d0cu3aMo32PYqG3IMWQQviNcK7cuULdQnWJSYjBeYJ5MLiqT1V+bvsz+ZzycefeHRysHUzZGZ+s/QRbS1tTZpSvi68qSC5eCE/lOS+eqBRDCosOL2LNmTWsPrOayNhI9vbYy/X466w+vZrVZ1Zz+tZpbnx4A2sLa0qEleD49dS7ou9Wepepjabm3Ak8rzRN3RAZORIOHoRFi9R708aNqgbI6NGqCyCorF03t5ciUPVfz/n169V9o6NH1by1teoNHxFhfl8I1CV8CS6JEC81eZ/PnoSEBCIiIihYsGDGmlLihXDo0CHq16/P6dOnTZlLL4LKlSszYMAAswL0aT3osZndeMkLnSm1Z88eateubZo3FiHv0qUL8+fPp3379ly7do3hw4cTGRlJuXLlWLFixWMHpKT73kvGyQm2b08NSAF88AEUKKC6UAwZAp98orriAUydCocPQ40aKkj1inaneJJuJ9ym/sL6Zsve/O1Nzkaf5WDkQeKT4/HI5UHk+5E42Trh7ejN5TuXTdt2LNWRfE75AHC0MR8Zb2zdsU//BIR4hVnoLehctjOdy3ZG0zSOXz9OgFsAOp2OBv4NAIi5F4O1hTVxSXGcuG4+2EjU3ShuxN0gj32eDMc+H33eNMDAK0eng9q1oVYtOH9eZd02bQrr1sGnn6r3oiZNVFZVs2Yq29cYqHqJIzG1a6tue999p+J106eDv78KSEVEwOuvQ5cu8MYbsGsXfPghtGkDbduqjKqX+NIIIYR4jpUpU4YJEyYQERFB6dKlc7o52XL9+nVat25Nx44dn+rfeaEzpXKaZEo9ew91N+XePdi9W91p3rhRfYivXh1OnVLzGzfCtGmQO7f6sH/+fOq+bdvCkiVP9VxeBUkpSRyOOmzKgBpbZyx5HVRwT9M0Tt08xe7Lu9l9aTcz98w062bn7eBNnUJ1CPQMpLxXecp5lsPF1gWAURtGcSHmAuW9ylPeqzxl8pbB3so+J05RPGVyB/Xlsi5iHXW/M+8+62zjzJl3z+Bq58rYTWO5l3KPGr41qJK/CqVmleJG3A2q+lSlWoFqdC3XVWq9gUoBunNH3VQZOVJ16TOqXFm9f+V/Ma/Twzzn791TmVLGQNPRozB8OPz1l1qWNy9cvJi6fYcO8IP00hbiuSLv89kjmVLiefXKZ0oJ8UD166uaTkbXrkFUlKoRpddDYKD6PXdudSvVWGssIEBN4rFomkb+KfmJuhtlWuZu707nsp0JcA9gxq4ZDFgxAFC1adzt3c1q0rQs3pKwpmGZHntErRGZLhdCPN8qelfkj/Z/qALpEWtwsnFie/ftpi61l+5cYsmxJXy26TMs9ZYkG5IBWHl6JStPr6RFsRYSlAIVcXFyUsGpxYvN1124kJrZ+5JLPyByyZJqgNyoKNXbccgQ8/VxcXDunLoPJYQQQojngwSlxIsrIUHVg0r74dtgULdKN25Un0rTioqCt96CmjXVKHlpi9S/9hp4eKguea/Ih/nHde3uNXZe2klpj9L4umT8hK/T6XC1czULSn2+9XOcbZ0JcA+gRbEWFM1TlAreFchjn4fJ2yfz09GfqOhdkYreFalWoNqzPB0hxDPgaOPIa8Vf47XirwFwN/GuWY23mU1nMqPJDE5cP8EX275g3oF5pnU2Fja0/6U9lfJVUlP+SpT2KI2VhRUx92J4fcnrBHsHUzFfRQI9A8nvlP/lH/nv8uWMhZQuXYLfflOj+L2iPDzUfaekJPPlK1aAn59a16oVtG6tAlmgsqsKFVJjlgghhBDi2ZGg1COQmlI56NAhiv3wAxZffqmKRbz+OowbBz4+qiZUwYJq2GwrKyhc2HzfGzdUNwc7u4zHzZ9fHUv8p4/XfszPR3/m9C1V7H1ivYkE5wtmx8Udqive5d380f4PAr0CcbNzM9u3pm9NPqqmisL7uviaBbMGVRnEoCrmo+oJIV5uuaxzZVim1+kp4V6CfI75zJaX9SxLBa8K7Ly0k0WHF5FsSGZsnbF8XP1j/jzxJ6tOr2LV6VUA2FvZE/NRDBa6l7wWVb58cOSISgsaNUr1ZRs5UtWYAliwAMqUUVEYUPUQAwLA8uX/+Fe9uro/9euvKkbn4aGKpP/zD/z+O0ycqAbbXbYM4uPh7bfVx4RateD991VprvTxPiGEEEI8eS//p5KnIDQ0lNDQUFMfSfHs6DdtovhPP6UuWLQINm1S+fgODjBsGJQurWpqJCdDnjzqNmjNmuqTpnzCzJaklCSsLDL26zdoBk5cP2EKSAGM2TyGmHsxOFg7EOQVRLsS7XCyUX2GB1QawJYLWyjsWpiK3hWp7Vc7wzGFECIzn9X5jNDgUDaf28yW81uo4F2Bt8q+BUB8Ujz7ruwzdeVbcsy8BqCV3oq5++fSM6gnmqahoZkysg5GHmTazmmU8yxHOc9ylMlbBmfbF/i93NJSVfbu1El13StUSC1PTlaj9R09qrqzh4aqbGF3d3jvPfX7S/wZxsJCJT/XqAFTpqge/E5OKoGsfXtVj+raNbXt+PEqIAWqDOWGDaos1/2RxYUQQgjxFElQSjw/kpJgzx44c0YNmwPqQ/W+faoQRK1aGPLnx+y+t6ap253GcZ/ffdf8mDduqE+h4oGORh1lxakV7Li0gx0Xd9C6eGu+avwVAHFJcUzYMoEdl3aw8+JOou9Fm+1rb2nPlm5bKOFeIsMIWU2LNuXGhzdwtXN9ZucihHh5eDp48nrJ13m9pHkmq52VHSEFQkzz6YPozrbOXIxRFa7Db4QT/E0wgV6BBHoGcjP+JgsPLTRtW9K9JEf6HnmKZ/GMWFmlBqRABasOHFCpQhMmQMuWavmdO9C/v8qsunRJZVe95PT6jD3zbWxSa8Hv25dxXa6MSXxCCCGEeAokKCVy3unT6gPy5s2qC56Njbrbu3mzmu7cUXn4mzZBs2Yk2ttjHRen9tXrwdY26zGeJSCVLX+c+INh64eZ5hcdXsS1uGssbrMYW0tbFh1eRIB7AIOrDsYjlwe9lvYCVBeZYm7FKJKnSKZDtttb2cuoeEKIp65H+R4Uzl2YXZd3sf/KfoZWG0rvCr0BNbrf0GpD2R+5n2Unl3Hq5imzfTVN46sdX1HWsyxl85Ylt11u07p1EetYfXq1KaDl7+pvVgPruWdpqdKCWrZUXf2M6UCgur1fuAD+/jnWvOdF+fLqntjVq2re318N1AuqVKUkWQshhBBPjwSlRM4yGFSh1n/+SV12756qiVG9Onz0EdSuDRUqqHWWlpxt3Bh/X18s6tbNWLBcmElKSeLg1YNsPb+VZEMy71d937TuUswl4pLiKJKnCC62Lmb73Yy/iUcuD0DVdzk1IPVLXIohBYNmoHL+ypTyKIWlXl5GhBA5q1HhRjQq3AhQQSbjqH0AXo5eDK0+1DQf9HUQ+yJTU2PuJN5hyJoh3Eu5B0AB5wJs6LKBgrkLMm//PL4//L1p26ZFmrK009KnfTpP3pUrquZi2qDUyZOq9mKdOtCjhxrww1hzceVK1c0vMDDrmz4vkdGj4ZNP4McfYfVq+O671HX9+qlxVSZOBDc3OH9exfcsXvJyZUIIIcSzIvd+HkFYWBglSpSgYsWKOd2U55umwfHjMHOmKsxw6VLquvXroU2b1BHv0n/o/eAD9cnw44+hShXVLeG+42+9heHzz1UVUglIZWnlqZW4THCh4jcVGbhyIOO2jOPLbV/y+pLX8ZniQ/4p+florSo6bhwJy0hDo33JzEdustBb0LtCb8p5lpOAlBDiuaPT6TKtiWf0Tvl36FK2C2XzlsVKb8W81+YR+3EsR/ocYVHrRXQo2QFvR28Alp40D0BF3Y3i0NVDmR73YsxFbifcfmLn8UT5+anBQdatU0POlS4NkZEq+pKcDB07qhtAoG4W9e4NQUEqm6pLFxXAesnZ2KhT/f57lRllzI4KDFSF0YsVg1mzVHnKqlVh//4cba4QQogcUKtWLQYOHPhI+9aoUYPFixc/2QY9RdevX8fDw4OLFy8+9b8lQalHEBoayrFjx9i9e3dON+X5pWmqwHiJEqq46q+/qg/Cv/2m1t+4oSqMhoaqANWAAan7liypglXigTRNM9VMSe9G3A3ORZ8jLinOtOxm/E2GrR/G1dirdCzVkV/b/cr0xtMByO+UnzYBbehZvifftviWY32PUSl/pWdyHkII8Sz1qdiH+S3nc6D3AWI/jqWGbw0s9ZaU9ChJp9KdmFB/AjaWNmiahkEzmO17IeYCF6IvALDgwAJa/9SaqTumcujqIT5d9ymuE1ypMKcCQ9cM5UDkgRw4uwfQ6VTg6ddfYe9eVTTprbfUEHX//quKogP88QecPat+v3RJBa5e4f5rPXpAeDg0bQp9+0JEhIrvVawIQ4ao5G4hhBAPFhkZSf/+/SlUqBA2Njb4+PjQvHlz1q5da9rGz88PnU5nNuU3Fv97wf31119cvXqVDh06PPFj37x5k/79+1OsWDHs7OwoUKAAAwYMIDo6+oH7aZrG8OHD8fLyws7Ojnr16nEyzU0oNzc3OnfuzIgRI554m9OTNAfxeFJSzHPYNU1Nen3G3Hbjh1xQmVNph7VxdVW3HmvVkoDUA9y5d4dv9n3D1gtb2Xp+K9firnHrw1s42Dig1+kJ2xXGjN0zOHH9BKC63qX9UjWj8Qy6l++e6bF/affLMzkHIYR4XlhbZF3k+17KPfpW6Mv+yP3sj9yvsqR6H8LN3g0AW0tbbsbf5KM1H3Ev5R56nR4Njb1X9rL3yl7srewp51nuGZ3JQ7JKl0lWpIiaQEVc0mvfXhVdAhWV8fNTQa7bt+H999UItzVrgq/v02x1jvHwUIP7/vCDSiwD9fFn7VoYNy5n2yaEENfuXjObz22XO8veDOm3dbF1yTK7+HrcdTRNM8072zo/8H0zK2fPniUkJAQXFxcmTZpE6dKlSUpKYuXKlYSGhnLixAnTtqNHj6ZHjx6meYuXpK/0tGnT6NatG/qncJPn8uXLXL58mS+++IISJUpw7tw5evfuzeXLl/nll6y/302cOJFp06axYMECChYsyKeffkrDhg05duwYtra2AHTr1o2goCAmTZqEq+vTG7jq1b31JR7NlSuwaBG8844a5WfiRPUB9dtv1R3XAgVUtztIrQNlZG+vsqUyU6YMtGsnAan/YKm3ZMjqIfx2/Deu3r2KQTPgM9WHdRHrAHCycaK2X22+b/U9Ee9G0KJoCwCK5ilKt3LdKOZWLCebL4QQLwxbS1vG1xvPijdXEPl+JJcGXcI9lzu6+93N25dqz4auG7g15BYLWy3MkFW16PAiRqwfwb4r+8w+1AMZ5p8r+fKZj+LXqBEMvV+T6+pVtS5fPujQQS3/9lvV783PT9Wt+o87sy+qmBjzmvA6Hdy8CTt25FybhBACwOMLD7Mp/Hp4ltv6feVntu2DsnoDwgLMtt12Ydsjta9v377odDp27dpFmzZtKFq0KCVLlmTQoEHsSPci6ujoiKenp2lyd3fP8rgbNmwgODiYXLly4eLiQkhICOfOnePs2bPo9Xr2GG+m3Dd16lR8fX0xGAxs2LABnU7HypUrCQwMxM7Ojjp16hAVFcU///xDQEAATk5OdOrUibi4OLPjJCcn069fP5ydnXFzc+PTTz994Pv6tWvXWLduHc2bNzctmz9/foasMJ1Ox8iRIx/iyiqlSpXi119/pXnz5vj7+1OnTh3Gjh3L33//TXJycqb7aJrG1KlTGTZsGK+99hplypThu+++4/Lly/zxxx+m7UqWLIm3tze///77Q7frYUhQSjyc8ePhzTdh7lwVjJoyRX1AfecdOHZM3U318VHbDhqkfubPrwJWI0aoWhUiU5diLvHjkR8JXRbK6ZunTcuvxl7l9+O/Y9AM2FnZYWdlZ7ZfoGcgfi5+ALxV9i1mNp3JG2XewM/Fjy8bfknU4CjC+4Xz7WvfUq1AtWd5SkII8VLQ6XSmOlPp2VnZkds2N7aWtqZlHvYeBHkFMW3XNILmBFFgagHCdoUB6oNglblV6LusL9svbH/+AlT9+6uh544dgxkzVOCpTRu1ztkZli9XQajz52HOHPN9dTrVNf8lVKECHDyoxmGxsoLu3f/P3l2HV1n+cRx/nzULcnR35+hukBIQKRWkY4SClFIiojQ/YBLSCoiIhKIoAtIxYtQAkRodAhu5PL8/btmYgMLqbPB5Xdeunec+z3nO56AHtu+57+8N6dND5cqmE0FQkK0TiogkPjdv3mTdunV4e3vj5ub2xP0pU6aM0XXDwsJo2rQp1apV49ChQ+zcuZOuXbtisVjIkSMHtWvXZv78+dEeM3/+fN59991os5VGjhzJ9OnT2bFjB+fPn6dly5ZMmTKFJUuWsHbtWn799VemTZsW7ToLFy7EwcGBPXv28L///Y9JkyYxZ86cZ2bdtm0brq6uFCxYMHKsVatWXL58OfJr6dKlODg4UKlSJQAWL16Mu7v7v35t3br1mc8ZGBhI8uTJcXB4+oy5M2fOcOXKFWrXrh05liJFCsqVK8fOnTujnVu2bNl/fa64oOV7MeDj44OPjw/h4eG2jhL3bt40W0QXLx41dumS6fu0aROsXRv9/MBAWL4catWCVKmi31e4sOlTkSfPK7F7T2xUmV+FbQHbIo8DgwOxs9ix/fx2Tt86DYB/T38Kpi1Iw7wN+eboN5HnpnFNQ57UeZ563Vypcj11XERE4k7DfA25NegWuy7s4tdTv5LCOQWDKg8iNDyUrQFbWXV8FcmdkwPw1aGv2H1xN7sv7mbG3hmUyFCCVa1WkT1lIlr6ZrFAwYLm63EuLvDaa+YLoFSp6B2/L10yywDz5TO7+bVqZc6xWMzPFn/9BSVKJNjLiGvOzubztZYtzcQwJyfw8TF7sqxcCdu2mc/pjhwx+7y88cYr3Y5LRIQ///wTq9VKgQIFnuv8QYMGMXTo0MjjMWPG0Ofx3sN/CwoKIjAwkEaNGpH772msjxd9OnfuTPfu3Zk0aRLOzs7s37+fw4cPs3r16mjXGT16dGQhqFOnTgwZMoRTp06R6+8Zwy1atGDTpk0MGjQo8jFZs2Zl8uTJWCwW8ufPz+HDh5k8eXK0ZYePO3fuHOnTp49WDEuWLBnJ/t7x9tSpU3h7ezNmzBjq1KkDQJMmTShX7t/7+2bOnPmp4zdu3OCTTz6ha9euz3zslStXAEifPn208fTp00fe90imTJk4EM+7e6goFQPe3t54e3sTFBREipdh97fTp033zuPHzSefuXLBpEnQxCz9olo186lp4cKm0+fcuVGPDQkxHxX+syAF5iexRz0qXnHhEeE8DHuIm1P0Twgehj3E96IvgQ+jL3dYc2IN+T3z0zhfYypmrUilrJXInNz8xdO5VGc8nD2olLUSlbJVIneq3IiIiG25OLhQPUd1queoHjnmaO9IzZw1qZmzZuTYQr+F0R4XEBhABvcMCRUzbnXsaBorbdliPtTavNns6rd2Lcyfb36WuHIFPD1h4kT43/9M78j+/c0Oukm0YvN4ra5PH2jaFGbNMoUqgF69zB9F8eIwcKBpoen04m1YRESSvBedDTxgwADefffdyGNPT8+nnpc6dWreffdd6tWrR506dahduzYtW7YkY8aMADRt2hRvb29WrlxJ69atWbBgATVq1CDHo7+o/1asWLHI2+nTp8fV1TWyIPVobM8/ei2WL18+cik/QIUKFZg4cSLh4eFP7YH14MGDyB5N//SosNawYUMGDBgQOe7h4YGHh8dTH/NvgoKCaNiwIYUKFYrRUsCnSZYs2RNLGOOailJiflL65Zeo41OnzCecly9Dhgyms2e2bFH9ns6cAXd3s4tPjRpma2l5wsErB/np5E9sDdjK9vPb6VWmF6NqjMLezp7Ldy7T8ruW7Lm4h5DwkGjLPgBSJ0uNb5en7+5YK1ctauWqlRAvQURE4lB4RDhHrh+JNnbzwU3GbR/HsGrDbJQqFnr1Ml8REWa5X+HCZlbU66/DF1+An58pSN25A4+WP/z+u/nq2tVUcl4C2bLBp5+a219/bQpSYJb7vfUWODiY2VUiIvHh2gfXoh2nSvaUyQJ/O9v3bLTjlC4pn3nuMe9jTzQ6f1F58+bFYrFEa2b+bzw9PcmT5+krQP5p/vz59OnTh3Xr1rFs2TKGDh3K+vXrKV++PE5OTrRr14758+fTvHlzlixZwv/+978nruH42MYfFosl2vGjsYhYtp/x9PTk1q1bT4yHh4fTqlUrkidPzux/LIdfvHgx3bp1+9fr/vzzz1SpUiXy+M6dO9SvXx8PDw9Wrlz5xGt5XIYM5sOwq1evRhbyHh2X+MeM5ps3b/5rb6+4oKKUmMLTP02bFjX+z4blj23dKc+29MhSxm4fG3n8v93/Y+eFnWxsv5G0bmnJmjwrbxZ6kyrZqmDBQsnZJUnhnIJK2SpRJVsVwiPCsbd7OXacEBERsLezZ2ennSw5vIR5B+ZxPug8a1qvoVh680ntpJ2TOH7jOAMqDiBvmrys/WMtdhY76uepH+1T2UTHzg6KFIk+5uAQ9fPDmjVP9pRMwsv4/s2iRdGPHRxMTU5EJL6kdXv+gsGLnPtot9nYSJ06NfXq1cPHx4c+ffo80Vfq9u3bMe4rBVCyZElKlizJkCFDqFChAkuWLKF8+fKAWcJXpEgRvvjiC8LCwmj+rA23XtDu3bujHe/atYu8efM+c6fAkiVLcuXKFW7dukWqx1YXvf/++xw+fJi9e/c+MZPqRZfvBQUFUa9ePZydnVmzZs0zZ2Y9kjNnTjJkyMCGDRsii1BBQUHs3r2bHj16RDv3yJEjVK9e/V+vF1sqSon5ialUKdi/3xy7uMDDh7bNlMhdv3edbQHbuBd6j7eLvQ2Y6alnbp8hJDyEAp4FIvuHPPIg7EHkuQ52Dix5Y0nkfRHWCPy6+VEkXREVokREXmK5UuViaNWhfFjlQw5eOUjJjCUj7/Nw8uCHP35gzv45NC/YnN0Xd3Mh6ALF0xfn4+of0yR/k8RdnHoWqxUyZjQzsAE8PODLL6F795eq56TVCt26wcWLZuIYmPZaf/xhbt+8ae57NMH89m3z8l+GThAiIs/i4+NDpUqVKFu2LKNGjaJYsWKEhYWxfv16ZsyYwbFjx174mmfOnGH27Nk0adKETJkyceLECU6ePEm7du0izylYsCDly5dn0KBBdOzYMbKHU2wFBATQr18/unXrxv79+5k2bRoTJ0585vklS5bE09OT7du306hRI8DM8vriiy9YuXIlFoslso/ToybmL7J8LygoiLp163L//n2+/vprgoKCCPp79420adNGFssKFCjAZ599RrNmzbBYLLz33nuMHj2avHnzkjNnToYNG0amTJlo2rRp5LXv37/Pvn37GDNmTEz+qJ6bilJifPQRBAdD/vxm+r2zs60TJUq/n/2dnmt7cuyG+cszo3tGAh8GsjVgK1sDtnLpziXeLPQm3775LW8Xe5uPNn4U+dgIawSF0xZ+6nXtLHYUz1D8qfeJiMjLx85iF60gBdDFqwvvFH+HRQcXMXzTcK7euwrAwasHabqsKWvbrqVB3ga2iBs7b78Nb74J33wDEyaY3pTZs5uKjK+v2cXv009Nm4D797EPDrZ14hixWExz86ZNYdUqmDEDliyBR6seFi2C99+HcuXM6sXTp03brTZtoG9feKy1iYjISyNXrlzs37+fTz/9lP79+3P58mXSpk2Ll5cXM2bMiNE1XV1dOX78OAsXLuSvv/4iY8aMeHt7P7HkrVOnTuzYsYOOHTvGxUsBoF27djx48ICyZctib29P3759/7WpuL29PR06dGDx4sWRRanNmzcTHh5Ok0c9nP82YsSIF+4FtX///sjZW/9c+njmzJnIPlonTpwgMDCqj/HAgQO5d+8eXbt25fbt21SuXJl169ZFm2W1evVqsmXLFm2ZYHywWBPdXsRJx6NG54+2XJT4Fxoayk8//USDBg3+dZ1sfAgJD+Hbo9/yzsp3oo072jlSOlNpqmSrQpXsVaiUtVLkWu7W37XG09Uz8r5nbSkuIk9ny/e8iK1YrVa8Zntx4ErUbjdpXdPyfavvqZytsg2TxQGrNfrsqO+/h86dzfK+kSMJP3+e4EWLcPriCxzefNN2OeNBaCj88IOpwf36qxl7/Kfwjz+G4cNtk03EVvTv/PN5+PAhZ86cIWfOnP+5NEuifPLJJyxfvpxDhw7ZNMeVK1coXLgw+/fvJ3v2RLTb7n8oX748ffr0oW3bts8859/+33zeeolmSsWAj48PPj4+hIeH2zqKxJGAwAA2n93M72d/Z9fFXezrui+y+fjiQ4uZc2AOuy/s5kHYgyce+0WDL+js1fmp1/2mxTfxmltERF4+Vqz0LtubsdvHcuKvEwC4OrpSZX4V6uWux6gaoyibuayNU8bQP5frNW8OVauaakz//thFROAKpjP466+bHpdZs9oiaZxzdDQvt3lzM1ms8z9+dEiR4smanYiIvLi7d+9y9uxZpk+fzujRo20dhwwZMjB37lwCAgKSTFHqxo0bNG/enDZt2sT7cyXNvXhtzNvbG39/f3x9n747miQtgQ8DyTElB+1WtWOe3zz8r/vjNduL7QHbAbj98DYpnFMwuuZo9nTeQ9MCTQFwc3Sjdq7aZPBIolt5i4hIomRnsaNDyQ4c7XmUJc2X0KpwK071OcWyFssICAyg3JxytF0R9anl8qPL8b2YhH8m8fQ0u/VVrky0esyaNXD9uq1SxasbN+Dxnrhp08J770HNmvCPHroiIvKCevXqhZeXF9WrV4/TpXux0bRp03hfBheXPD09GThwYIL0stRMKXnpPWpAniZZmmhbmQY+DCS5c3JSuKQglUsqbj68GXmfHXY4O5i+Wt5lvfEu6x1537CqwxhSeQglM5TE0V7TjEVEJH7Y29nTpmgb2hQ1n1K2LNySNwq+wbKjy7j98DYA5wLP0WlNJ+6E3KFJ/iaMqj4qafYovHfPbLzyOA8P2L4dihePXsF5CQwaBO3amaV806fDzJlmJtWHH0L58qYF1/Tpps1WaKh5jFY2iYg8nwULFrBgwQJbx5DnpJlS8tL65sg3tFvZjuxTspN7am6WHlnK6uOr6fdLP7xme5F6XGr++MtsifPPZRDp3NNROlPpp163VMZSlM1cVgUpERFJcPZ29rQt2paeZXoC0Hl1Z+6E3AFgzYk1lJxVkrO3z9owYQy5ucFvvxG2cCEPU6TAmjkztGhhOoCXLWsaor9kMmaEESPg3DmzUrFxY/DzgwUL4M8/o/acmTrV1OU2brRlWhERkfihmVLy0lp0cBE///lz5PEHv37AvdB7ZEuRjWrZq9GzdE/SupktcbqV7sbui7uplqMa1bJXo2bOmraKLSIi8lz+uv8Xuy7sijaWNUVWkuweNhYL1jZt2GhnR518+XAsWxa6dIEePcyWdRMnmu3rAH7/HapVeykaMLm6Rt22t4f27c0sKosF9u2DgQNNH/hatUyrrUmTIHNm2+UVERGJSypKSZJjtVo5fuM42y9uJ4N7hsgeT8Fhwaw5sYbN5zaz+dxmjlw7Eu1xKV1ScqTnEXKkzPHENRvla8SNgTews2jyoIiIJA2ujq6MqD6Cz7d9zl8P/gLgQegDAgIDyJkqJxHWiCT571qohweULGkOypc3s6T+7jkFmB373ngDKlSA8eOhUiXbhY0nj2ptI0aYgtQj335rJo+pKCUiIi8LFaUkSVl0aBEfHP2A2wdvA1AkXRHO3T5H3/J9sVgstF/VnszJM1MtezVaFW7FsE3DIh8bEh5CSpeUT72ug53eCiIikrQkc0zGBxU/oJtXN6bunsqlO5eYVG8Szg7OWK1Wai2qRZ5UeRhQaQD50uTjow0fUTV7VermrpsgjUvjjIMD9OljboeEwFtvmds7d5pCVY8epmj1krl/H65ciT7m7Ay3b9skjoiISLzQb+KSpISEhXA77Hbk8ZFrR1h4cCF9yvXByd6JC/0ukDpZagAirBGcvHmS8pnLUy1HNQp6FkxaP4SLiIg8Bw9nDz6q+lG0sXBrOK/leY3JuyYz98BcauasyYYzGxizbQxF0xWlm1c3unp1TXr9EefNg4cPo4/lzm2bLPHM1dXsxPfll6YBeng4NGgAOXKY+x8+BBcXm0YUERGJtaQ3p1teSucDz7Po4CLeXfUudb+qC0BAYABfHfyKTqs7MWj9IACqZH9yG02fBj6RxaZHBSkwW2ovbLqQHmV6UChtIRWkRETkleFg58DASgM50/cMsxvPZs/FPZH3Hb52mMm7JifNWcI5ckQvQjk4mE7gj69xe4nY20P37vDHH7BqFSxdCoUKQXAwlCoFXbvC+fPm3AkTTIN0ERGRpERFqRjw8fGhUKFClClTxtZRXgoHLh8g25RstF/VnoUHF7L+9HpyTMlB9inZabeqHb6XfHFzcgMgf5r8ZHPJBkBmj8y0LdoWFwd9TCgiIvI0Lg4u1MlVh3sh96KN37h/g0G/DeLEjRM2ShZD9evD0aOmEJUuHXz9NaxcCXZ2EBAAVarA3Llw5w5s2GD6Tk2YAGfO2Dp5rHh6Qo0aUcf29qYg9f33kCePabE1YAAUKGB6w589a7OoIiIvtRw5cjBlypQXflxISAh58uRhx44dcR8qnvj7+5MlSxbu3bv33yfHgopSMeDt7Y2/vz++L+H2xPHlxv0bhEeERxu7evcq3xz5hhl7Z2Ah+iymAp4FWNFyBdcHXOdQj0MMrzY88r6eWXtyrMcxzr9/nsXNF1MyY8kEeQ0iIiJJUXr39MxqPIt8afIBYIcdLQu3ZO6BuRTwKUDV+VVZ6Lcw8vyea3vS7Ydu/HTyJ+4E37FV7GdzdobeveH0abMdXalSZvzWLXB3N1WZDBnM9127TLUmVy54912bxo5LDg7w3num1jZ8OKxZY8bDw2HOHKhd+6WdPCYiSdCVK1fo3bs3uXLlwtnZmaxZs9K4cWM2bNgQeU6OHDmwWCzRvrJkyWLD1HFr5syZ5MyZk4oVK8b5tc+ePUunTp3ImTMnyZIlI3fu3IwYMYKQkJB/fdzDhw/x9vYmTZo0uLu788Ybb3D16tXI+wsVKkT58uWZNGlSnGd+nIpSEi+sVitrTqzhvXXvUXxmcdKOT8vGMxv5677ZHWja7mlkmJiBNivasDVgK1lTZI32+GwpstG8YHM8XT2fuHYBtwLkTpVby/FERESeg4uDC51LdeaY9zHWvbWOsXXGMrvxbC72u8jSN5bi7ODMjyd/BODm/ZvM2T+H2ftn03BJQ1KPS82O84n0U103t6ht6gCKF4eff4Zz5+Cjj6LWtT0SFASP/bD9MvDwgHLlICws+niGDFrKJyKJw9mzZ/Hy8mLjxo2MHz+ew4cPs27dOmrUqIG3t3e0c0eNGsXly5cjvw4cOGCj1HHLarUyffp0OnXqFC/XP378OBEREcyaNYujR48yefJkZs6cyYcffvivj3v//ff54YcfWL58OZs3b+bSpUs0b9482jkdOnRgxowZhP3zH5o4pKKUxAuLxcIHv37A/3b/j0NXDwFQ9+u6zNk/B4A6ueuwpPkSLvW7xDHvY/Qt15dULqloVqAZU+tPpX+F/raMLyIi8tKxs9hRL089Pqj4AWCKVa2LtGb9O+tZ1mIZAPP85hEaERr5mPCIcM7ePvvU61mtVu6H3o/33C8sa1azK98/f4BevRoyZjT3TZxoZlo9sn49nDqVsDnjSMmSMHAgJEtmjlOlMi+lQAFo0QI0sV9EbKlnz55YLBb27NnDG2+8Qb58+ShcuDD9+vVj165d0c718PAgQ4YMkV9p06b912vPmzePwoUL4+zsTMaMGenVq1fkfZMmTaJo0aK4ubmRNWtWevbsyd27dyPvX7BgASlTpuTHH38kf/78uLq60qJFC+7fv8/ChQvJkSMHqVKlok+fPoSHR1/xc+fOHdq0aYObmxuZM2fGx8fnX3Pu27ePU6dO0bBhw8ixkSNHPjEzzGKxsGDBgv/6I31C/fr1mT9/PnXr1iVXrlw0adKEDz74gO+///6ZjwkMDGTu3LlMmjSJmjVr4uXlxfz589mxY0e0/y516tTh5s2bbN68+YVzPS8VpSRG7ofeZ/2p9Ry5diRyLCg4iB//+JFr964B4GzvHO0xRdMVpV3xdoBZntemaBsyemQEoGeZnlwfcJ3vW31P73K9ye+ZP4FeiYiIiNhZzI+E/tf9o407Ozjj42t+2A6PCGfg+oGsPLaSv+7/xR9//UHKz1NSeV5lPtrwEetPrSc0PPSJa9tE+fJm1lTnzpAmDRQrZmZJzZ0LqVObmVSPPqEPDoa33zbNmRo3ho0bwWq1bf4XkCYNjB1ramzvvQeffmqW9c2aBYcOQdmyMH68OTc4GDp1ghNJrJWYiDzb5TuX2X95f7SvM7dMH72HYQ+fuG//5f2Rjz1x48QT9918cBOA6/euP3Hf5TuXXyjbzZs3WbduHd7e3ri5uT1xf8qUKWP8umfMmIG3tzddu3bl8OHDrFmzhjx58kTeb2dnx9SpUzl69CgLFy5k48aNDBw4MNo17t+/z9SpU/nmm29Yt24dv//+O82aNeOnn37ip59+4quvvmLWrFl899130R43fvx4ihcvzoEDBxg8eDB9+/Zl/fr1z8y6detW8uXLh4eHR+TYBx98EG1W2IQJE3B1daV06dIAjBkzBnd393/9CggIeOZzBgYGkjp16mfev2/fPkJDQ6ldu3bkWIECBciWLRs7d+6MHHNycqJEiRJs3br1mdeKrSS47YrY0uJDi5m1bxa7LuwiNCKUpvmbkt8zPxvPbGTf5X1EWCP4utnXvFXsLbqX6U6vn6Kq1dfuXSO9e/qnXlfNykVERGzvwyofUtCzID/88QO7LuzigwofMKTKEAAu3bnEcv/ljN9hKhyZPDIRGhHK9vPb2X5+O5N3TebGwBs42jva8iUYTk6mKXr9+jBjBly6ZLqFd+hgvu7ehevXzbljx8I184EaP/5ovpYvN9OMkpAMGWDy5KjjLl2gY0fTB/7R3jwDBsC8ebBokWnLNXw4xOJ3QhFJBGbtm8XHmz+ONvZW0bf4uvnXXAi6gNdsryceYx1hCu/vrn6XXReiz1b6qtlXvF3sbb49+i29fu4V7b4R1UYwsvrI5872559/YrVaKVCgwHOdP2jQIIYOHRp5PGbMGPr06fPUc0ePHk3//v3p27dv5NjjG5G99957kbdz5MjB6NGj6d69O1988UXkeGhoKDNmzCD337u6tmjRgq+++oqrV6/i7u5OoUKFqFGjBps2baJVq1aRj6tUqRKDBw8GIF++fGzfvp3JkydTp06dp2Y9d+4cmTJlijb2qLAEsGvXLoYOHcrChQspUqQIAN27d6dly5bP/sOCJ675yJ9//sm0adOYMGHCMx975coVnJycnigMpk+fnitXrjzxPOfOnfvXLLGhopQ8twehD9h0dhNbA6KqpBvObGDnhZ3UyFmDzqU6UyNHDfKkNhXqVoVbscJ/BTVz1qRGjhqUyVwm8pNYERERSXzypM7DgEoDGFBpAPdC7hEcHoyroysAWVNk5UzfMwQEBrD57OYnfglK7pycoRuH0jBvQ6pmr5o4ilNguoJnyxZ9zN3dfAHs3x/9PhcXM5vqJWBvH1VbCw2FL780t8PCTAFr1y5IQhtBichTdPPqRpP8TaKNpXJJBUCW5FnY13XfMx+74PUF3AuNvrNajpQ5AGhZuCUVslaIdl9G94wvlM36grNOBwwYwLuPbUrh6flkf2GAa9eucenSJWrVqvXMa/3222989tlnHD9+nKCgIMLCwnj48CH379/H1dX8u+bq6hpZkAJTkMmRI0dksejR2LVHH1z8rUKFCk8c/9uOfA8ePMDF5emTMAICAmjatCkffPBBtCJU6tSp/3Wm07NcvHiR+vXr8+abb9KlS5cXfvzTJEuWjPv342+5vopSQoQ1gvOB5znx1wn8rvjxMOxhtN3uPtv6GetOrWPXhV2EhEfv4H8n5A5/9PqDDB4Znriup6snG9tvjPf8IiIiEvfcnNxw48nlFtlSZOOd4u8wbNOwaOMFPAuw7OgyJu+aTCqXVDQv2JwJdSeQ0iUlP5/8mR/++IE+5fpQwPP5PjFPMPnymUZMt26Z48yZwc8PatY0y/heko1VliyBhw+jj5UqZXbps9NnhiJJVkaPjJEtUf7JxcGFUhlLPfOx/9YyJa1bWtK6/XtPp/+SN29eLBYLx48ff67zPT09oy3Be5Zkj5roPcPZs2dp1KgRPXr04NNPPyV16tRs27aNTp06ERISElmUcnSM/uGJxWJ56lhELLcz9fT05PDhw0+M37t3jyZNmlChQgVGjRoV7b4xY8YwZsyYf72uv78/2R770OXSpUvUqFGDihUrMnv27H99bIYMGQgJCeH27dvRZktdvXqVDBmi/25/8+bNaMW7uKailHDk2hGKzyweeexs78yei3tY1XoVDnYO7L64m9TJUjO+zniqZKtC1flVuRt6F3uLPaUzleba/WtPLUqJiIjIy+twj8NsP7+dzWc3syVgCytbrSSlS0r8rvjxnf93/H7udzycTP+MIRuGcPDqQWbsnUGjfI0YUnkIFbPG/bbYMTJuHIwYAQsXmobn330X1VOqXz8zxejTTyFFCrhyBdKnT5KFqmbN4NgxM0MqJMQs99u6VUUpEYk/qVOnpl69evj4+NCnT58n+kr9syDyvDw8PMiRIwcbNmygRo0aT9y/b98+IiIimDhxInZ//wX37bffxug1PM0/G7Tv2rWLggULPvP8kiVLMmPGDKxWa+QO8larlbfffpuIiAi++uqrJ3aWf9HlexcvXqRGjRqRDcvt/uMvdi8vLxwdHdmwYQNvvPEGACdOnCAgIOCJmWBHjhyhRTwuaVdRSsiSPEu04+DwYAKDA7n14BZp3dKyqvWqaPdPrj+ZjO4ZqZK9CsmdkydgUhEREUksPJw9qJ+nPvXz1I82XjJjSUpmLBl5fPTaUQ5ePRh5/OMfP1I0XdHEU5QCcHODnj3N1+Ny5jRN0VesML2nPv3U7OA3Ywb8yy8giVHy5PD556bX1KBBMHIk5MplVjf6+cHUqfDZZ6bmFvL3xHgnJ1smFpGXgY+PD5UqVaJs2bKMGjWKYsWKERYWxvr165kxYwbHjh2L0XVHjhxJ9+7dSZcuHa+99hp37txh+/bt9O7dmzx58hAaGsq0adNo3Lgx27dvZ+bMmXH2mrZv3864ceNo2rQp69evZ/ny5axdu/aZ59eoUYO7d+9y9OjRyJ5RI0eO5LfffuPXX3/l7t27kTsDpkiRgmTJkr3Q8r2LFy9SvXp1smfPzoQJE7j+qGciRM56unjxIrVq1WLRokWULVuWFClS0KlTJ/r160fq1KlJnjw5vXv3pkKFCpQvXz7y8WfPnuXixYvRGqLHNX0uIqROlho3x+hV6yb5mjxzumbnUp1pmK+hClIiIiLyn1YcW/HE2Olbp1+414hN9OljphdVrgzt28Mff8DmzVCiBHz8cVT1JgnJndtMBitSBP5ewUJAAKxebVYy/u9/pv5WtKipxSWF/0wiknjlypWL/fv3U6NGDfr370+RIkWoU6cOGzZsYMaMGTG+bvv27ZkyZQpffPEFhQsXplGjRpw8eRKA4sWLM2nSJMaOHUuRIkVYvHgxn332WVy9JPr378/evXspWbIko0ePZtKkSdSrV++Z56dJk4ZmzZqxePHiyLHNmzdz9+5dKlasSMaMGSO/li1b9sJ51q9fz59//smGDRvIkiVLtOs9EhoayokTJ6L1hpo8eTKNGjXijTfeoGrVqmTIkIHvv/8+2rWXLl1K3bp1yZ49+wvnel4Wa5L4iSBxCgoKIkWKFAQGBpI8edIu0NT9qi67Luwiv2d+ymQqQ5sibaiSvYqtYz0hNDSUn376iQYNGjyx3ldEXj56z4skfecDzzNz70xm7J3BrYe3aJinIV6ZvPi4xseEhody++HtyA/CEu17/swZyJ/fLOV7pFgx2LsXElPOWPjrLxg6FGbNMsePfkMoWxZmz4bixZ/9WJGYSrTv+UTm4cOHnDlzhpw5cz6zYbYkbocOHaJOnTqcOnUqWiP1xCwkJIS8efOyZMkSKlWq9NRz/u3/zeetl2j5Xgz4+Pjg4+NDeHi4raPEme9bfY+bo9sTa1lFREREYiNriqx8WutTPqzyIfMOzOOd4u+Q0iUlADP2zmD4puGMrD4S7zLeHLx6kB23d/Ca9TXbhv6nK1cgUyZ4tCW2xWK6hh86BF5PbreeFKVJY1YlnjplWms9sm9f1IwqERGJmWLFijF27FjOnDlD0aJFbR3nuQQEBPDhhx8+syAVV7R8Lwa8vb3x9/fH19fX1lHijLuTuwpSIiIiEm/cnNzoXa53ZEEKoG3RtrQp0oZ+v/Sj+MzivLv6XcadHUfjZY05c+uM7cL+U4UK4O8PAwaAvT20bQvJkplpRAMGQDxulZ2Q7t+HoKDoY46OMGYMXLhgm0wiIi+Ld999N8kUpADy5MlDt27d4v15VJQSEREREZvwdPVkRqMZ7O+2H6vVytEbRwH49fSvFP6iMBvPbLRxwse4upqd+nx9zRo3X1/T+HzaNChUyCzxAzhxAn76KUk2Y3J1hR07YNkyyJPH1N1GjIC1ayFvXvjwwyeLViIiIrGhopSIiIiI2FS+NPkICo5e7XBzdKNkhpLPeIQNlSxpdutzdITBg+HwYWjWDLJlM/f37QsNG0LFirBqFSSxdg92dtCypZkYtnmzeYl//gn9+8OUKWaS2CPvvGP6vd+7Z7O4Iq8UtYOWxCYu/p9UUUpEREREbCqZQzIm1ZtEJvdMkWM3H96k2oJqbA/YbsNkzyFvXpg82Szr+/Zb+OUXM75rlylWLV9u23wx5OgIZcqY28mTw+jRcPKkmSwGpvn511/DyJFQoAAsXZokJ4eJJAmPmsDff0mWCsvL49H/k7HZqECNzkVERETEpiwWC62KtKJ2jtq0W9gOF08XPqr6ET3W9qDy/Mp0KtmJz2t/jqerp62j/ruFC6MfOzhE37Evicuc2XxZrfDJJ1HjFy5A9+5Qpw54JvL/RCJJkb29PSlTpuTatWsAuLq6qh+w2JTVauX+/ftcu3aNlClTYm9vH+NrqSglIiIiIolCcufkdM3Slfqv1cfZyZkdHXfw5f4vGbJhCBndM/JJzU94EPqAjms6MrDiQEpmTETL+6xWaNUKjh2L6i+VPTvs32/WuQUGwvXrplkTwJ07ZnZVEtza7vBhuHQp+lj27BASYps8Iq+CDBkyAEQWpkQSg5QpU0b+vxlTKkqJiIiISKJiZzEdJuzt7OleujvNCjTD3ckdgHYr2/Hdse9YdmQZbxd7m5HVR5IrVS5bxjUsFmjXDtq0MWvZZsyAFSvg0Q/r8+fD++9DzZrQpYtZCzdxonlM795mGWASUawYHDxoXs5vv5mX6OBgWm0BhIWZYxGJOxaLhYwZM5IuXTpCX6IZmJJ0OTo6xmqG1CP650JEREREErX07ukBCAgM4Pvj3wNgxcpXh74iODyYZS2W2TJedI6OptDUrl308W7dzNq22bNN4crODiIizO5906ebnfyGDLFN5hgoUgR+/RXWrDE9p6pXN3W5K1egXDno1w969jTFqW3boEoVWycWeTnY29vHSSFAJLFQo3MRERERSRIm7ZxEhDUi2lhyp+RPjCVKyZLB22/Dli0wa5YpSD1itZrKThJjscDrr0ONGuY2mJpc/fpmFlWJEvDRR1C1qtmQ8MQJm8YVEZFESEUpEREREUkSPq/9OaNrjI5cylc0XVH+evAXdhY7rFYrR64diTz31oNbHLp6KHFuoX71alQVByB1aujVCxo1gkOHbJcrDqRJY2pu+/ZBihTw2Wdm/KefzOyqCRNsm09ERBIXFaVEREREJElwcTC78p3uc5r+FfqzuvVqVrRcAcCvp36l6IyilJ5dGp89PszZP4fiM4uTb3o+hvw2hAOXD9g4/WOGDYNTp2DAADNDyscHvvnGTCUqUQLefRf++sucGx5uvpKYkiWhdu3oY2FhkDGjbfKIiEjipKKUiIiIiCQpad3SMqHuBHKmyhm5LXrNnDVZ1WoVmZNnpu+6vgz8bSAAf978k8+3f87n2z+3ZeQn5cwJ48ZBQAC0aGF27vP3NwWqPXtMzymAL76AsmVh507b5o2BAgWi+ryDqb/17WteYliY7XKJiEjioaKUiIiIiCR5jvaOvF7gdVa3Xs2JXicid/B7ZM/FPYzaPIrDVw8nriV9KVJEbVXn6Ag9esCRI5AqFRw+bDqG798PFStCx46QhLaDb9sW/vgDBg0CV1dYuRIaNzabDRYrBj//bOuEIiJiaypKiYiIiMhL5eaDm2RJniXy2MneidIZSzNhxwSKzSxG3ml5GbttbOT9PX7sweDfBnPu9jlbxH3So1lSw4dHn1I0f76ZTZWEeHjA55/D+fNQs6Z5CXv3Qtq00LkzPHxozps0CT75BB48sG1eERFJWA62DiAiIiIiEpfKZC7D2b5n2XtpLyuOreBB6AP+99r/CA4LZuOZjaw8vpJ7ofcA8L/uz+z9s4mwRjBhxwTeKPQGI6uNpGDagrZ9Effvw8mT0cdcXCAkxDZ5Yil16qjbpUrB77/DxYvmJe3ebWZThYXB3LmmGfobb0TvBS8iIi+nV7oodfv2bWrXrk1YWBhhYWH07duXLl262DqWiIiIiMSSxWKhTOYylMlcJnLM2cGZ1/K+xmt5X4scm7JrChHWCADCreF8e/RbhlQekuB5n+DqCgcOwNSpMHIkWK1Qq1ZUk6bQULPcL4myWCDL35PZBg+OmhB27hy8+SYcO2Z6UomIyMvtlV6+5+HhwZYtW/Dz82P37t2MGTOGvx7tdCIiIiIiL73dF3c/MbbmxBobJHkKR0fo39/syrd8OaxebZoxhYZCmTLw/vtw9ao594svzBq5JObsWdi6NfpYqlRw755N4oiISAJ7pYtS9vb2uLq6AhAcHIzVak1cjS9FREREJF4tbr6Y3mV74+bohgULY2qOoX6e+gCcuHGCv+4ngg8sM2WC16Jmd2G1QsuWMG8e5MoF77wD3t6QJ4/Z3u7yZdtlfUE5cpgeU1WrmmN3dyhUyHwHiIiwWTQREUkASbootWXLFho3bkymTJmwWCysWrXqiXN8fHzIkSMHLi4ulCtXjj179kS7//bt2xQvXpwsWbIwYMAAPD09Eyi9iIiIiNhakXRFmPraVC70u8CaNmsYUmUIZTOXBaDbj93IPz0/C/wWYLVaWXRwEUeuHbFxYsDJCT78EM6cMbOlli414yEhZrlf5cpJqppTooTpMfXttzB9OmzbBvnzmyboXl4wblxUK61jx2yZVERE4lqS7il17949ihcvTseOHWnevPkT9y9btox+/foxc+ZMypUrx5QpU6hXrx4nTpwgXbp0AKRMmZKDBw9y9epVmjdvTosWLUifPv1Tny84OJjg4ODI46CgIABCQ0MJDQ2Nh1co//Toz1l/3iKvBr3nRV4ttnzPu9m7US9nvWjP/dXrXzFww0A6rO7A9D3TOXj1IFarlffKvcewKsNwdXRN8JzReHhgqVEDh08/jTYckTkz4WfOQLZsNgoWM02bmu+P/hM8eABVq9rx4Yd2zJ0LPXtG8P77djRubGXs2HBy57ZZVIkj+nde5OX1vO9ri/UlWa9msVhYuXIlTR/9awaUK1eOMmXKMH36dAAiIiLImjUrvXv3ZvDgwU9co2fPntSsWZMWLVo89TlGjhzJxx9//MT4kiVLIpcBioiIiMjL5WDQQcacGUOwNerDyUzOmZicfzLOds42TAbON2+S77vvyPHrr9iFhRHi6gp2djg8eMDFKlU42awZd7Jnt2nG2Dp71oPZs4vh7x+1osHBIZxWrf7gzTf/sGEyERF5lvv379O2bVsCAwNJnjz5M89L0jOl/k1ISAj79u1jyJCo3VPs7OyoXbs2O3fuBODq1au4urri4eFBYGAgW7ZsoUePHs+85pAhQ+jXr1/kcVBQEFmzZqVu3br/+ocscSc0NJT169dTp04dHJPwjjMi8nz0nhd5tSTW93zoiVCCTwdHGyuboyzNGjWzUaJ/ePttws+dg88/x75AASI6dcI6fz5Zpkwha9++hE+YQESfPhAait3AgUS89x4ksUJVihQWOnSIOg4Lsydv3nw0aJDHdqEk1hLre15EYu/RyrL/8tIWpW7cuEF4ePgTS/HSp0/P8ePHATh37hxdu3aNbHDeu3dvihYt+sxrOjs74+z85Kdhjo6O+ks0genPXOTVove8yKslsb3nG+ZvyLCqw/h82+eERoSS3Dk5q06sote6XoyrM44ULilsHdE0OZ8zBwB7gH79oHdvWLoU+0qVsHd0NH2ofHywnzsXPvgABg8GNzebxn5eyZJB2rRw/bo5dnODRYvsKV3anoYNbZtNYi+xvedFJPae9z2dpBudx1bZsmXx8/Pj4MGDHDp0iG7duj3X43x8fChUqBBlypSJ54QiIiIiYmvJHJMxqsYo/Lr7USlrJb5q9hU+DXxYcmQJhb4oxAr/FYlzB2dHR2jXDnLnhrAw00UcTAfx0aOhXj3b5nsBrVrBH3+YWpuDA4wfbzYebNQIGjeG06dtnVBERGLipS1KeXp6Ym9vz9WrV6ONX716lQwZMsTq2t7e3vj7++Pr6xur64iIiIhI0lEobSG2dthKk/xN6FmmJ/49/SmVsRStvmvF6VumKvL1oa9psrQJflf8bBv2n7791hSjHuflBYmxmPYMKVPCxInw55/QvTv8+it89x0cPGheyt275rxVq6Lv2CciIonXS1uUcnJywsvLiw0bNkSORUREsGHDBipUqGDDZCIiIiKSVFkslsjbWVNk5Yc2P3CoxyFyp87NvZB79PqpFz/88QMlZ5XktcWvJZ7iVL160KsX2NubY09PWL/ezKBKYrJnB4vFfL3xBhw7Bt9/D+7ucOMGdOkCgwZBsWLmJYqISOKVpItSd+/exc/PDz8/PwDOnDmDn58fAQEBAPTr148vv/yShQsXcuzYMXr06MG9e/fo8HiXRBERERGRWCiUthAAE3ZMIDA4MHJ83Z/riLBG2CpWdGnSwLRpZlpR/fpmmtGuXWaJ3+HDpmB186Y5NywsSRWr3NygRg1zu0sXU5gCOHEC6taFzZttl01ERP5djBqdr1mz5oUfU6dOHZIlSxaTp3umvXv3UuPRv0AQuTNe+/btWbBgAa1ateL69esMHz6cK1euUKJECdatW/dE8/MX5ePjg4+PD+Hh4bG6joiIiIi8HKxWK2v+ePJn5Gl7pjH/9fk2SPQMhQvDzz9HH/vjD1i0CJYtgzFj4PZt+OorswauXj0zJSkJuH3b1NoelzUrlCplkzgiIvIcLNYYdGW0s3uxCVYWi4WTJ0+SK1euF32qRC0oKIgUKVIQGBhI8uTJbR3nlRAaGspPP/1EgwYNtEOHyCtA73mRV0tSf8/fCb7D1N1TmbhzIrce3mJgxYHUzFmTennqsf/yfpYcXkKXUl3I75mfA5cPcPDqQVoWbomro6uto8OVK2bN26JFYGcHEX/P8Kpe3TRIL1zYpvGel68veHub7xYLODnBjz9C7dq2TiZPk9Tf8yLybM9bL4nRTCmAK1eukC5duuc618PDI6ZPIyIiIiKSJHg4e/BR1Y94v8L7fHv0W94q+haO9uYX7T9v/sl8v/lM3DmRKtmqEG4NZ8f5Hby37j26eXXjvfLvkdEjo+3CZ8gACxfC1avwyy9R45s3myJVElGmjFmVOG8eXLwIPXpAunSmn/uQIfDOO1H1tQcPII4XcoiIyAuK0b8w7du3f6GleG+//bZmEomIiIjIK8HV0ZV3S7wbWZACaFm4JRf7XWRJ8yVYsbLj/A4AAoMDGbdjHFN2TbFR2sfcv29mTD0uWTIzU+raNdtkigE7O+jcGUaMMAUpMPG//x6KF4d+/eDkSciZE0aONMUpERGxjRgVpebPn/9Cs59mzJiBp6dnTJ4qUfLx8aFQoUKUKVPG1lFEREREJIlwcXChTdE2NC/QPNq4ncWOM7fPcOrmKRsl+5urK+zbB/Pnm2ZMzs7w/vuweDHkyQOffmoKV0lQ+vSmn/vo0TBrltmZ7+pV+PhjKFQIVq+2dUIRkVfTCxelbt26xc2/d+a4fv0633//PUePHo3zYImZt7c3/v7++Pr62jqKiIiIiCQxxdIXo17uelgwDcQrZqnI9vPbKeBTAO+13ly5e+U/rhCP7O3h3XdN8/NffzVVnFOnzNSjjz+G1q2jzu3WDcaPh+Bgm8V9Ec7OMHiw6eH+8GHU+NmzsGKFzWKJiLzSXqgoNWfOHLy8vChdujQzZsygWbNmbNiwgdatWzNnzpz4yigiIiIi8tKolasW695ex4leJ+haqiuzG8/mz95/8mnNT1lyZAn5puWLnDV1IegCuy7sSviQLi5Qtaq5nSYNTJoEx4/DJ5+YsUWLYPZsGDjQNGlavdo0bkoCAgJM7e0RJydwdIRbt2yXSUTkVfVCjc6nTp3K0aNHefDgAdmyZePMmTOkTZuWwMBAqlWrRufOneMrp4iIiIjISyVvmrzMajwr8nhgpYF0LtWZrw99Ta5UZtfqLmu6sO7UOjqU6MDntT8nndvzbTQULx7tpG21wtChUeOnTsFbb8GZM5A2rW2yvYD33oNataBXL9iyBRo2hOXLYc0a+Pxz6NAhSfV2FxFJ0l7or1sHBweSJUtG6tSpyZMnD2n//kcnRYoUWCyWeAmYGKmnlIiIiIjEh9TJUtOnXB8sFgsTdkxg3al1AMz3m0/+6fnZdGaTjRMChw7B+fPRx/LmhYgI2+SJgaJF4fffYeVKWLYMTpyA+vXNKsWKFaOan58+bZb3iYhI/HihopS9vT0P/16AvXnz5sjxu3fvxm2qRE49pUREREQkPoWEhzBnf/T2GKHhoRRJV8RGiR5TvDjs2WOqNwCenqZJk+Pfuw0mkeKUxQJNm5rYGTOaXlNbtkC9embTwYgIaN/eNEIfMybJtM4SEUlSXqgo9dtvv+Hs7AyY2VGP3L9/n9mzZ8dtMhERERGRV5QFC11KdcHdyT1y7F7oPVYcSyQducuUgW3bzM58X30F/v6QOjVcvw4FC8KcORAebpb67d9v67TPrUoV088dzPK+bdvMrKmPPjI79p04Ydt8IiIvmxcqSj1rmV66dOm0lE1EREREJI442jvSv2J/TvQ6QduibSmTqQwb2m2gXfF2APzy5y8EBQdFnm+1RZNxiwXatjXr3h79jmC1Qtmy0KWL+T5mDHh5QcuWcO5cwmeMocBA+O67J8eyZLFNHhGRl1WctPALDQ3l/PnznDhxgps3b8bFJUVEREREXnmZPDKxuPlifn/3d2rmrImroyv3Qu7x1vdvkXtqbsZvH8+tB7coNbsUo7eM5k7wHdsGTpfOzJzascMcP2qIvnw5FCgA06bZLtsLsFigVavoDc+vXoXt222XSUTkZRTjotSdO3eYMWMG1apVI3ny5OTIkYOCBQuSNm1asmfPTpcuXdRzSUREREQkDrg6ukbednNy40C3AzQv0JwPN35I9inZ8bvix7BNw8g1NRfjto8jwmrjvk4VKpiGTY97+BCSJ7dJnBeVPLmpn/n6mglfDRrA119DzZrm/k2bICzMthlFRF4GMSpKTZo0iRw5cjB//nxq167NqlWr8PPz448//mDnzp2MGDGCsLAw6tatS/369Tl58mRc57Yp7b4nIiIiIraUNUVWZjWexaHuhwiLiKqO3Lh/g3V/rsPOEicLImInc2bTZ+oRDw8YMgQWLEgyzdBLlYKdO03rrLfeAgcHuHgR6taFkiVNY/SQEPjwQ7hxw9ZpRUSSnhj9a+Xr68uWLVvYs2cPw4YNo169ehQtWpQ8efJQtmxZOnbsyPz587ly5QpNmzZl69atcZ3bprT7noiIiIgkBidvnuRB2INoY3sv7WXYxmFcu3fNRqn+1rEjnDxpOoY7OcHSpaaTeIcOplH6li22zfec7OwgZcqo48yZYfducHeHatWgXDn47DPInx9mz04y9TYRkUQhRkWppUuXUrhw4f88z9nZme7du9OxY8eYPI2IiIiIiPyLJvmb4NfNj8b5GgNQNnNZOpXsxORdk8k+JTvea705c+tM5Pn3Qu4lbMDUqc06uHPnoGFDWLbMbGlnb2+aNj18aM774guYNMlMO0oCSpUy/aXGjQM/PzN28yZ06wbdu9s0mohIkpII5vWKiIiIiEhMFc9QnDVt1uDbxZcZDWcwuf5kAt4P4MPKH/Kt/7f8dPInAAICA8gyOQufbP6EB6EP/uOqcSxDhqjblSrBrl2mquPiAgcOwPvvQ//+UKwY/PxzwmaLITs7E/2fqlVL+CwiIklVrItSvr6+1KpVi2LFitG8eXNGjRrFmjVrCAgIiIt8IiIiIiLyHEpnKk2pjKUASJ0sNcOqDePce+fo4tUFgMZLGnP74W2G/z6cAj4FWHZkme3C2tlBrlzm9oABUTOkTpwwXcWPH7ddthcwfryZ8PVIxozQrh306wd3bLwRoohIUhDrotQ777yDvb09Xbt2JWfOnGzevJkOHTqQI0cO0qRJExcZRUREREQkBlwdXXGyd+LyncscvX40cjwgMIBvj35rw2R/O3vWbGX3uDRpkswyvsyZ4ZtvYP16qFzZLOX7/HOYNQsKFoQVK8BqtXVKEZHEyyG2Fzh//jxr164ld+7c0cbPnTuH36MF1iIiIiIiYjObz20mwhq9A/eFoAuEhIfgZO9ko1RAjhymx1TfvuDrC8mSQbZsZps7MBUdi8V2+Z5T7drmC8zEr5YtoU8fU6Bq2tS00Bo4ENzcYPBgcHa2aVwRkUQj1jOlKlWqxIULF54Yz549O6+//npsL58o+fj4UKhQIcqUKWPrKCIiIiIi/6l1kdYc6HaA6jmqRx43zt8YJ3snwiPCufngpu3CVahgekzNnw+TJ8O+fVCokJktVbEi+PhAWJg598yZf79WIpE9O6xeDRs2mILUggVmqd/IkVC8+JOTw0REXlUxKko1b96ckSNHsnLlSrp3784nn3zCrVu34jpbouXt7Y2/vz++vr62jiIiIiIi8lyKZyjOxnYbWdlqJbMbzWZo1aEAzD0wl3zT8jF732zCI8I5e/ssW89tTdhwdnbw7rtm+7pHM6OCg6FoUejdG0qXNkWrPHngrbfgKR+KJ0bJk5t62rBhUWMnTpiNCK9ft10uEZHEIkZFqdy5c7N9+3a6detGixYt2LhxI/ny5aNz587MmTOHffv2EZJE1oGLiIiIiLwqLBYLTQs0xcPZI3Ls9fyv0yhfI7r92I1yc8rRbmU7qi6oSrNlzTh2/Zjtwnp4wOzZsHu3We/WsSNERMCSJZA/P0ycaLtsL2DnTrh8OfpYgQJmBpWIyKsuRkWp8ePHs379eq5du0ZAQAA//PAD7733HoGBgYwdO5ayZcvi4eFBsWLF4jqviIiIiIjEofTu6VnQdAHbO27n9sPbbA0ws6RWHV9FkRlF+OnkT7YNWKaM2c7ucffvJ5nt7apUgb17oWxZc5wxo4kvIiKxaHQ+fPhwXn/9dby8vMiSJQsNGzaMvO/u3bv4+flx8ODBOAkpIiIiIiLxq3Sm0thZon9mndw5OcXTF7dRoscEB0OKFBAYaI5dXWH5cqhWDWrUsG2251CiBOzYYSZ+FS1qWmXZ2cGVK2YC2Oefw6PP84OD1QhdRF4dMW50fuHCBV577TWyZMlCjx49WLduXeSSPXd3dypXroy3t3ecBRURERERkfhjZ7GjV9lepEmWJnLsQegDis4oyqSdkwgOC7ZduHbt4OTJqJ5TH38MqVJBzZrQunWS6DFlbw89ekDlyqYgBXDtmundXqqU2bXv22+hYEH4+WfbZhURSSgxLkrNmzePK1eusHTpUjw8POjbty+enp688cYbLFq0iJs3bbiDh4iIiIiIvBAHOwf6lOvDqT6nGFplKF4ZvTjZ+yQtC7dk4PqBFPQpyPKjyyPPP3XzFGERYQkXMG1amDkTjh2D/v1h61ZYtAh+/91saXf3rjnv559h+vSoHfsSsWLF4OBBGDXKRG7b1hSpGjSAN9+ES5dsnVBEJH7FuCgFYGdnR5UqVRg3bhwnTpxg9+7dlCtXjlmzZpEpUyaqVq3KhAkTuHjxYlzlFRERERGReJTCJQWf1PyEPV32kDVFVmY2msnhHocpmr4o2wK2ARAcFkzdr+tS5Asb9JzKn9/MlrJY4J13zHZ2X38N7u5w+7ZZD/dox77t2xM2Www4OcGHH5qXEh4eNf7dd/Dbb7bLJSKSEGJVlPqnggULMnDgQLZv305AQADt27dn69atLF26NC6fxuZ8fHwoVKgQZcqUsXUUEREREZF48Xh/qYJpC7K69Wom1ZsEQJsVbTh96zQn/jpBwyUNabikIX/d/8s2QVOkgNdeM7c7dzaNmsBMQapcGbZssU2uFxAeDqdORR9Lnty00Hq8UCUi8rKJ06LU49KlS0enTp1YvXo1H3zwQXw9jU14e3vj7++Pr6+vraOIiIiIiCQYezt77obcZeOZjdHGz946S0qXlLYJ9cjt27BuXfSxLFnMjKlEzt7ezIqaNw/SpAFHR1Nn69MHKlWCQ4dsnVBEJH7Euij12WefMW/evCfG582bx9ixY2N7eRERERERSUSu3L1C3jR5o42duX2GP2/+aaNEf0uZEtauhSJFosauXEkSM6XArEbs0AGOHzcNz7/5BrZtgzt3TCP0x3+1SgJ93UVEnkusi1KzZs2iQIECT4wXLlyYmTNnxvbyIiIiIiKSiORJnYfdnXezsOlCMrhnoGmBpoytPZZ8afIBsP7UeiKsEbYJV60a7N8PU6bAwIFw+jTUrw9Wq+km/udjhbPQUNtk/A+entC0qbldqRIcOGCi585txi5cMA3S33hDjdBFJOmLdVHqypUrZMyY8YnxtGnTcvny5dheXkREREREEhk7ix3tirfjj15/MKvRLHqX643FYuHotaPU/bouZb8sy47zO7j98DbdfujGhaAEnNrj6Ah9+5qpRVmzmrFr12DuXChcGIYOhYAAyJMHxo+HkJCEyxYDjxqht2hhjitWhFu34PvvoWBBmDHD1NxERJKiWBelsmbNyvan7Gqxfft2MmXKFNvLi4iIiIhIIuXh7EE6t3SRx4XTFWZ7R/O7QaV5lagwtwKz988m//T8fLL5Ex6EPrBN0PTp4dgxGDQIJkwwxamAADObqlgxWL/eNrle0E8/wfnzUcdBQbB5s1n6JyKSFMW6KNWlSxfee+895s+fz7lz5zh37hzz5s3j/fffp0uXLnGRUUREREREkoiKWSuyu/NuPqnxCcdvHAfgfuh9hv8+nPfWvWe7YK6uZh3c0qVw927U+IkTMGeO7XK9gNBQs7zvcZcuQYSNVkuKiMSWQ2wvMGDAAP766y969uxJyN9TX11cXBg0aBBDhgyJdUAREREREUla7O3sOXQ1+pZx9hZ78nvmJ8IagZ0l3jYB/29//mmmFj1a8+boCKlTm47iHh62y/UcXn/d9Jn64ANYuNB8z5YN7OzMKsSICHBxsXVKEZHnF+t/DSwWC2PHjuX69evs2rWLgwcPcvPmTYYPHx4X+UREREREJAnyaeBDd6/ukQWoAp4F6P9rfyrMrcCO8ztsF2zAANi1C0qXNse1apkKT4ECZsu7RN6gydMTFiwwL2HcOOjd24yPGwfFi8Pvv5vj8+fh5k1bpRQReT5x9hGFu7s7pUuXpnDhwjg7O8fVZUVEREREJAlK65aWGY1msK/rPt4s9CY7O+1kU/tNhIaHUmleJVp/15qHYQ8B+Ov+X4SGJ+BueGXLwu7d8PXXsHq16TdVvjy0aQM1a8KDv3tfBQQk2i3uypWL3kuqeXNImxZq1IAOHcxLKVgwSdTZROQVFidFqblz51KkSBFcXFxwcXGhSJEizEki67JFRERERCT+lMhQgm/f/BYPZw+q56iObxdf5jWZRzLHZLg4uGC1Wmm/qj0lZpXgt9O/JVwwOzt46y2zvV327LBiBfzyC5QpA8mSmbVwHTuaGVRTpkBYWMJli4FChWDLFpg1C5Ytg+3bzaaDbdpAgwZw5YqtE4qIPCnWRanhw4fTt29fGjduzPLly1m+fDmNGzfm/fff1xI+ERERERGJxt7Ong4lOzD/9fkAjN4ymrUn1+J/3Z86X9Wh6TdNuXznsm3C1a1r1sEB9O8PGzaYXlPvvw9eXnDypG1yPSc7O2ja1NTZHnfkCLi72ySSiMi/inWj8xkzZvDll1/Spk2byLEmTZpQrFgxevfuzahRo2L7FCIiIiIi8hIKDQ/lq0NfRRvbfHYzro6uNkr0tzt3zLq3x12+DOnT2ybPC4iIgOrVzarER65dg2nTTGN0R0ebRRMReUKsZ0qFhoZS+lGTwMd4eXkRlsinuMaUj48PhQoVokyZMraOIiIiIiKSZF29dxV3p+hTeG4H3+b3s7/bJtAjYWHw2mvRx27cAF9f2+R5ARkywMqVZjVixozwxhvQpw8MG2Z6uyeBlyAir5BYF6XeeecdZsyY8cT47Nmzeeutt2J7+UTJ29sbf39/fPU3uoiIiIhIjGVJngXfLr7MbjQbT1dPSmYoydwmc6mXpx4AO8/vJCzCBh90p0oF8+bB1q1QtKhpfj57NlStau7fudNMSUqkLBbT+PzYMZg5E8aPhz17wN7e9HP/+WdzXkgIbNpk26wi8mqL9fI9MI3Of/31V8qXLw/A7t27CQgIoF27dvTr1y/yvEmTJsXF04mIiIiIyEvC3s6eLl5deLPwm1y7d418afIBZke+motqkjd1XqY3mE6lrJUY+ftIepbpSUaPjAkTrnJl2L8fbt0yW9sBXLhgilMlS4KPj/k+dix4e0PKlAmT6zmlSBF1u1QpU5j68kuzQx/ARx/BhAmmGfrkyUlidaKIvGRiPVPqyJEjlCpVirRp03Lq1ClOnTqFp6cnpUqV4siRIxw4cIADBw7g5+cXB3FFRERERORllNIlZWRBCiCNaxq2ddiGq6Mr1RZUo+LciozeOpp80/MxdttYgsOCEyaYg0NUQQogSxb4/XcIDYVy5aBKFRg61OzSt3gxWK0JkysGHBygRw9wcYGNG01BCmDpUihYEFatsmk8EXkFxXqm1CbN9xQRERERkXjglcmLHZ128IXvF/T5uQ8Ad0PuMnjDYHZe2Mmq1qtsE6xSJdi7Fz7/3BSkAK5ehbffhh07zAyqRMxqhU8+iT5265ZmSolIwov1TCkREREREZH4Ymex4+zts1iJPgOpSrYqNkr0N3t7OH78yfHKlRM+Swy8845pnfW4DRtsk0VEXl0xninVsWPH5zpv3rx5MX0KERERERERBlQcwK0Ht5jvNx8rVrIkz8IH6z9g98XdTKw7kawpstom2KhRcPs2/PijOU6XDtq3h6NHTcOmZMlsk+s/WCzQsSM0bAjvvQe7dplJXxUrmvtPnYIcOUzdTUQkPsV4ptSCBQvYtGkTt2/f5tatW8/8EhERERERiY307umZ+/pc9nTZQ82cNdncfjNfN/uarQFbKeBTgDFbxxASHgLAg9AHhEeEJ0ywnDnhhx9g9WrTSXzfPvjwQ7PdXZEisG5dwuSIofTpTT+pffugVSvImtXsyFe9upnwdfSoOW/dOghOoBZeIvJqiXFRqkePHgQGBnLmzBlq1KjB3LlzWbly5RNfIiIiIiIicaF0ptJsaLeBXKlz8VaxtzjR6wQ9SvfgmyPfRJ4z4vcReM32YnvA9oQL1qSJ6TGVJQuMHAmHD0OuXDBkCEREmHNGjjSdxUNDEy7Xc0qdOuq2k5MpVN26ZTYW7NwZGjQwt3fssF1GEXk5xbgo5ePjw+XLlxk4cCA//PADWbNmpWXLlvzyyy9YE/GOEyIiIiIi8nJI7pycCXUnsLfrXpzsnVj7x1om7JjAwasHqTy/Mu1Xtefq3asJE8ZiibqdLx/8+iv89hvY2cE335ilfgMGQOnSZr1cIla5Mvj5mbhz55rG6MeOmfEBA2ydTkReJrFqdO7s7EybNm1Yv349/v7+FC5cmJ49e5IjRw7u3r0bVxlFRERERESeycneCYDRW0dHa4i++NBibj64aZtQFgukSWNmSg0aZCo7AIcOQY0acP26bXI9JxcX8/U4qxVcXW2TR0ReTnG2+56dnR0WiwWr1Up4eAKt4RYREREREQFuP7zNneA70cbcndy5E3LnGY9IIFu3QkBA9LEiRcw6uUSuSRMzsesRDw8zc+qHH2yXSUReLrEqSgUHB7N06VLq1KlDvnz5OHz4MNOnTycgIAB3d/e4yigiIiIiIvKvUrqk5EC3A0yuN5nkzslJ55aO6jmqkyV5FgAehj20TbBq1UwzpqJFzXHatGaWVCLsLfVPxYvDzp2mFZaHByxZAsWKmWJVq1ZwNYFWRorIyyvGRamePXuSMWNGPv/8cxo1asT58+dZvnw5DRo0wM4uziZgiYiIiIiIPBdHe0feK/8eJ3qdYGWrlaxqvYpMHpkIfBhI/un5+WjDR9wLuQfAmhNrInfsi3cVKpgt7saPN/2lTp4ET09TnGrRAk6ciDo3LCxhMj0nBwfo3x/On4dGjWDtWli8GDZuhHLlompru3c/OSFMROS/OMT0gTNnziRbtmzkypWLzZs3s3nz5qee9/3338c4nIiIiIiIyIvK4J6BDO4ZIo+d7J3oUKIDn2/7nK8OfUWnkp0YuXkkBTwLMO21adTOVTv+Qzk6wgcfRB+7cAH27zfTjwYPNmvlBg6EGTOgevX4z/QCUqQw3y0WaNsW6tY1zdAdHeHiRWjWDO7cgc8/hx49TH93EZH/EuO/Ktq1a0eNGjVImTIlKVKkeOZXYnb+/HmqV69OoUKFKFasGMuXL7d1JBERERERiWPJHJMxsvpI/L39KZ6hOCM3jwTg+I3j1PmqDl3WdLFNsJIl4ehRs6XdZ59B8+Zw/LhphP7uu3Djhm1yPQdPT6j9dy2vSRO4fBnu3oVevaBKFbh1y7b5RCRpiPFMqQULFsRhDNtwcHBgypQplChRgitXruDl5UWDBg1wc3OzdTQREREREYljuVLlolbOWvz4x4/Rxgt4FrBRIiBZMhg92hSgZs2KGl+40FR3OnWyXbbnsHOnmez1uPBwSJnSJnFEJImJ0UypgBdcLHzx4sWYPE28y5gxIyVKlAAgQ4YMeHp6cvOmjbaMFRERERGReFcxa0VKZ4raUs7dyZ2JOyey+NBirFarbUKFh8ORI9HHUqQAq9V8JWIFCkSvm1ksZlnf5cs2iyQiSUiMilJlypShW7du+Pr6PvOcwMBAvvzyS4oUKcKKFStiHPDfbNmyhcaNG5MpUyYsFgurVq164hwfHx9y5MiBi4sL5cqVY8+ePU+91r59+wgPDydr1qzxklVERERERGyvbOay7Oq0i9mNZuPp6smC1xdQKVsl3l75NtUWVOPQ1UMJH8reHjZvhmnTzDZ39vZQtSp06WKW8j3eCD2RSZUK5syBDRsgVy749FNYuhQyZYKICLMaUUTkWWJUlPL398fNzY06deqQIUMGGjZsSJcuXejduzdvv/02pUqVIl26dMybN49x48bRp0+fuM4NwL179yhevDg+Pj5PvX/ZsmX069ePESNGsH//fooXL069evW4du1atPNu3rxJu3btmD17drzkFBERERGRxMPezp4uXl0499453ij0BsvfXM76d9Zz/f51ai2qxYPQBwAsP7qcSTsnERoemgCh7E1DpuPH4euvYc0aWL/eNEMvVgymTIk69/r1+M/zgmrWhMOHTXusZs3M2JIlULQoDB0KwcEm9rZtts0pIomLxRqLOaoPHjxg7dq1bNu2jXPnzvHgwQM8PT0pWbIk9erVo0iRInGZ9V9ZLBZWrlxJ06ZNI8fKlStHmTJlmD59OgARERFkzZqV3r17M3jwYACCg4OpU6cOXbp04Z133vnX5wgODiY4ODjyOCgoiKxZs3Ljxg2SJ08e9y9KnhAaGsr69eupU6cOjo6Oto4jIvFM73mRV4ve82JrIeEhHL1+lJIZSnLm1hnKzC1DUEgQRdIWYVr9aVTKWinhQz14gN2YMVgLFcLapg1cu4ZDyZJY69YlfNw4SJs24TM9p5AQGDfOjs8+syN3bsic2crGjRZ69Ihg9OgInJ31nhd5WQUFBeHp6UlgYOC/1ktiVZRKTP5ZlAoJCcHV1ZXvvvsuWqGqffv23L59m9WrV2O1Wmnbti358+dn5MiR//kcI0eO5OOPP35ifMmSJbi6usbRKxEREREREVsb/udwDt2NvpRvYr6J5HbNbaNERu1u3XC7ehWAYA8PjnbowPkaNUwzp0Tq3DkPPv+8LJcvu0eOpUt3j4EDfcmTJ9CGyUQkvty/f5+2bdv+Z1EqRrvvHTp0iCJFimBn93yr/44ePUr+/PlxcIjxZn8v7MaNG4SHh5M+ffpo4+nTp+f43wubt2/fzrJlyyhWrFhkP6qvvvqKokWLPvWaQ4YMoV+/fpHHj2ZK1a1bVzOlEog+QRV5teg9L/Jq0XteEovzQec5evBotLFsybPR5rU2eLp52igVWDZuxOHvghSA8507lDh3jqING9os0/O4fRs++yz674IPH7rStGlZjhzRe17kZRQUFPRc58WoSlSyZEmuXLlC2uecKlqhQgX8/PzIlStXTJ4u3lSuXJmIiIjnPt/Z2RlnZ+cnxh0dHfWXaALTn7nIq0XveZFXi97zYmu50uRiS4ct9Fzbk4NXD+Jg50BgcCAX7l0gY8qMtgsWGGh25QuMml1kd+cOdvb28JwTBmwhdWrTa2roUHhg2nVx546Fzz5zoWZNB73nRV5Cz/uejlFRymq1MmzYsOdeshYSEhKTp4kVT09P7O3tufrYJwkAV69eJUOGDLG6to+PDz4+PoSHh8fqOiIiIiIikjhVzFqRvV338oXvF4RFhNHVqyvuTu6ER4TT5YcudPXqSvks5QEIjwjH3s4+/kO1bAlVqkCfPvDdd9CjB+TMaQpSoX83Y0+ExR17e+jXD5o0gc6dIVkyc3vQIAurVtXE1dXCYx1XROQVEqOiVNWqVTnxAtuSVqhQgWTJksXkqWLMyckJLy8vNmzYENlTKiIigg0bNtCrV69YXdvb2xtvb2+CgoJIkSJFHKQVEREREZHExsHOgT7lou8kfu3eNfyu+FFhbgU6luhIzzI9eXP5m3xc/WPeLvY2lvju7ZQxIyxfDps2QbVqUTOkJk0y293Nng3lysHly+DuDh4e8ZvnBeTJAxs3wt27kDw51KsXxptvBtGsWXrmzIFOncBqhc2boXp1W6cVkYQQo6LU77//HscxYubu3bv8+eefkcdnzpzBz8+P1KlTky1bNvr160f79u0pXbo0ZcuWZcqUKdy7d48OHTrYMLWIiIiIiCRVGT0y4tvFl9n7ZvPRxo/46tBXhEaE0m5VO+YcmMMXDb6gcLrC8R+kRo3ox3XqmGJVhQpmBtWJE+bLx8dMS0ok7OxMQQoga1YYNmwXd+40pEkT86vpuHEweDC0aAHTp8M/WgSLyEsm8S48fg579+6lZMmSlCxZEoB+/fpRsmRJhg8fDkCrVq2YMGECw4cPp0SJEvj5+bFu3bonmp+/KB8fHwoVKkSZMmVi/RpERERERCRpsbezp0eZHkx7bRqhEaGR41vObWHG3hm2CVWqFOzaZWZMzZ0LGzbAhQvw+uumwnP9um1y/QeLBVq3tpIiBRw+bApSYFYnFioEK1faNp+IxK+E2w4vHlSvXh2r1fqv5/Tq1SvWy/X+Scv3RERERERk14Vd0Y5dHFwAuBtyF3cn94QP5OAA77wDn3wCwcFR49u3w1M2bEpMrFb48MPoYzdvJsoWWSISh5L0TCkRERERERFbmdZgGmtaryFHyhwANM7XmHkH5lHQpyCrjq/6zw/Q48WDB2bW1ONu34b58yGRb9TUti2kSRN9bPNm22QRkYShopSIiIiIiEgMNc7fmKM9jzKz4UyWtVjG0Z5HKZa+GM2WNaP5t82JsEYAcDHoIiHhCbAreZYs8OuvsGgReHpCo0bQsSO8/z5UrGjWyCVCFgu0aQP+/maTwfTpTYusTp3M/RcvQkSEbTOKSNxTUSoG1FNKREREREQecXV0pVvpblgsFnKmysmPbX5kRcsVlM5YGjuLHcFhwTRd1pSSs0qyLWBb/AeyWMwyvmPHYM4c0+x82za4c8fMovrlF3NeWBjs3h3/eV5AunSwbBn4+ZlWWAUKmAletWubHfke7XO1f7+KVCIvgzgpSoWGhnL+/HlOnDjBzZs34+KSiZq3tzf+/v74+vraOoqIiIiIiCQyFouF5gWb81HVjwBou6Itey/txf+6P1XmV6Hzms4EBQfFfxBPz6jt6ypWhAMH4PPPoUoVM/bJJ1C+PHTpArduxX+eF5AhQ9Rte3uYMcP0bS9WzPSeqlABqlWDP/6wXUYRib0YF6Xu3LnDjBkzqFatGsmTJydHjhwULFiQtGnTkj17drp06aKijYiIiIiIvNIu37nML6d+iTb2+9nfcba3QeNxZ2fo3x9cXWHrVhg1yozPmQMFC8JPPyV8pudUvbpZedipE3z2GYSEmMlfxYvDxIm2TiciMRWjotSkSZPIkSMH8+fPp3bt2qxatQo/Pz/++OMPdu7cyYgRIwgLC6Nu3brUr1+fkydPxnVuERERERGRRC8wOJD8nvmjjV2/f52Ldy7aKBFmq7tPP40+dvUquNtgx8AX4OYG+fJFH3v4EAICbJNHRGLPISYP8vX1ZcuWLRQuXPip95ctW5aOHTsyc+ZM5s+fz9atW8mbN2+sgoqIiIiIiCQ1BTwLsLvzbnz2+DB001Dq565PqYylyJkyJwAXgi6QJXmWhA1ltULDhrB9O9y9GzW+cydUrZqwWV5Q0aKQKxecPm2OXV1NW6wTJyB//n9/rIgkPjGaKbV06dLIgtS1a9eeeZ6zszPdu3enY8eOMUuXSKnRuYiIiIiIPC8HOwf6lu/Lce/jzGg0gyFVhmCxWPj97O/k/F9OBv82mHsh97gfep9NZzbFfyA7O+jd22x117gxZM4Mc+dCq1bm/vPnTeEqEapeHQ4dgvfeMy/j88/h5k2zjG/8eNMUXUSSjlg3Om/RogXhz3jnh4WFxfbyiZIanYuIiIiIyIvKnDwznq6ekccVslRgeNXhTNk1hcJfFKb9qvbUXFSTt75/i6t3r8Z/oKxZYfVq2LsXOnaEHDkgOBgqV4ZataK2utu8GUJD4z/Pc3Jzg8mTTbzevc1Ofb16waBBULNm1K58ly6ZDQZFJPGKdVEqZcqU9OnT54nxv/76i9q1a8f28iIiIiIiIi8lZwdnhlUbxpGeR8iSPAvf+X8HwJLDS8g/PT9rTqyJ/xAWS/St7pydTePzM2fMWrm+fU2lp2xZ2L8//vO8gJxmBSSurjBhglmN+M47ZgbV3bvw2mtml76jR22bU0SeLdZFqUWLFrF+/XrmzZsXOXbs2DHKli2Lm5tbbC8vIiIiIiLyUsuVKtcTY3dD7pIjRY6EDwNQpw4cOQI9esDUqWbqkZ+fKUwNG2abTM+hQgXo3NncbtDALPPbuxdKlYIxYzRrSiQxipOZUitWrGDAgAHs2bOHX375hQoVKtC0aVN++OGHuMgoIiIiIiLyUmtXvB0pXVJGHttZ7Oj6Y1cOXjlom0BubtFnUIFp2PRobVwi5ucHO3ZEHYeEwNKlSSK6yCsnRkWp5s2bM2rUKNasWUNAQABFixZl+vTpNGjQgDfeeIPJkyczceJE7OxiXfNKlNToXERERERE4oqdxY6uXl057n2ct4u9Ta5Uufj5rZ+5E3IHr9leDFo/iPuh9xM+WLVq8PiO6+7uprqzYUPCZ3kBERHwz83fw8Lg4UPb5BGRZ4tR1Sh37txs3bqVzp07kyNHDtKkScOXX36J1Wqlbdu2lCpVitBE1AgvrqnRuYiIiIiIxLX07un5qtlX7O+6n1q5anGg2wFG1RjF/3b/D++fvCPPm71vNpfvXI7/QOXKmT5SH38MLi5mh77s2aF2bdMY/ebN+M8QA6VKmdgDBpj+Uh07QtOmkDy52VRQy/hEEo8YFaXGjx/P+vXruXbtGufPn2fRokXUqlWLmjVrsmnTJkqVKoW7uzvFixeP67wiIiIiIiIvtRQuKQBwsnfiwyofcqTnEUZUGwGYglS3H7tR0Kcgs/bOIsIaz2vSnJxg+HA4dw5atoSNG+HLL+H776FMmahd+Q4cgCtX4jfLC0iWDMaNg927YcYM+OwzM/7ttya2n585fvhQRSoRW3KI7QUyZ85M5syZadiwYeTY3bt38fPz4+BBG61/FhEREREReUnkSZ0HgAehD+i7ri8AgcGBdF/bndUnVrO27VosFkv8hkiXzny3WEw38YYNzXQkR0e4ds1MRbpzByZNgvbtzXmJQOnS0Y/z5jWtscqUgY8+gr/+gp07YcECKFLEJhFFXmmxLko9jbu7O5UrV6Zy5crxcXkREREREZFXzsSdE3kYFr0xUskMJeO/IPU0GTOawhRA48YQEGBud+gAixfD8uWQMmXC5/oPpUqZHfk+/RRGjzYFKgAvLxgxAgYOBId4+S1ZRJ4mRsv3Ah79hfOcLl68GJOnERERERERkb918+rGO8XeiTx2sXdhxbEV8b+E79/s3Qv/7LV7+7Zp4JRIOTnBoEGmrvZISAiMGmVWKYpIwolRUapMmTJ069btXxt9BwYG8uWXX1KkSBFWrFgR44AiIiIiIiICad3SsqjZIn59+1fyp8nPlg5bWNV6FXYWO07fOs2mM5sSPlS2bNCqVfQxf/9E1V/qaS5dMpsJPi5tWggMtE0ekVdVjCYm+vv78+mnn1KnTh1cXFzw8vIiU6ZMuLi4cOvWLfz9/Tl69CilSpVi3LhxNGjQIK5z25SPjw8+Pj6EP5rrKSIiIiIikkDq5K6Dv7c/dpaoOQYz985k/I7xdCjRgfF1xrMtYBsPwx7SsnDL+F3ely4dLF0Kb70F3bubre4KFIBMmcxWd2fPQs6c8ff8MZQnj+nNPnIkjB8PxYqZ8XLlTK+pDz80M6pEJH5ZrFarNaYPfvDgAWvXrmXbtm2cO3eOBw8e4OnpScmSJalXrx5FXvJOcUFBQaRIkYLAwECSJ+LpqS+T0NBQfvrpJxo0aICjo6Ot44hIPNN7XuTVove8SMxFWCOYs38OA9cPxMHOgdCIUIKCg2iYtyE+DXzInjJ7/IcICjLb3j16/y5ZYnpMjRgBAwbA3btw+rRp4ETiec/v2WPaX+XIAWPGmH5TRYrAsmWQL585JyIC7GK0zkjk1fS89ZJYtXBLliwZLVq0oEWLFrG5jIiIiIiIiMSCncWOrl5daZK/CZXmVuL07dMArD25lt+/+J2D3Q+SO3Xu+A3xz188mzWDQ4dg+HDT+DxrVli71hSoRo4Ee/v4zfOcypaNuj1yJDRpAv36Rb2ctWvNS1iwAIoWtUVCkZeXar0iIiIiIiIviWv3rkUWpB7JmSonWZNnTfgwyZLB55/D7t2mWdMPP5gpR2PHQokScPBgwmd6DqVKwe+/Q4YMcOoUvPEG7N9vJnh9+imEhdk6ocjLI16KUjNnzqRs2bLUqVOHfv36MX/+fPbu3RsfTyUiIiIiIiJ/K5quKMvfXE4G9wwAuDi4cOz6Mby+9GLXhV22CZU3L4SGRh+7eBHSpLFNnhfQvz8EB5vboaEwdCh8/71tM4m8TOKlKDV27FiWLVvGrFmzqF69OpcuXWLixInx8VQiIiIiIiLyN4vFQotCLTjmfYxuXt0YX2c8e7vuxcXBhYpzK/Leuve4G3I3YUMlSwbdukX1mgK4fx+7SZOwf/gwYbO8gDt34OTJ6GMpUkDx4rbJI/IyilVPqWcpXrw46dOnx9XVlVy5ctGkSZP4eBoRERERERF5ipQuKZnZaGbk8c5OO5m6eyrDNg2jUb5G1M5Vm3O3zzFq8yg+q/0Z6dzSxV8YR0czxahpU7M7n4cHvPYadsOHU2P5ciwpU0K9evH3/DHk4QH79sHHH8O4caa2ljYt3L5t62QiL494mSn10Ucf0bBhQ1auXMmlS5fi4ylERERERETkOTnYOdCvQj/OvXeO2rlqExERQf2v6zPPbx4FfQqywG8BsdiY/fkUKQI7dsC338IHHxC2bx8PPD1xqF8fFi4051itZju8RMLFBT77DLZvh6+/huPHoVw501eqVy/Tc0pEYi5eilLt2rWjUKFC/Pbbb7Ru3ZpcuXJRvXr1+HgqEREREREReU6erp4A+Pj6cPyv4wDcfHCTDqs7MHFnArRccXCI6iWVJw/bP/mEsFmzoHFjM+bjY6o+774LN2/Gf57nVL68mej1aMPACxfg55+hWDET+fJlaNECzp61ZUqRpCdelu+lTJkSHx+faGMXLlyIj6eyCR8fH3x8fAgPD7d1FBERERERkRcSYY3gi71fRBtzsneiTq46CR/Gzg5rhw5miZ+/P/TpY8YXLoR162DuXGjYMOFz/YccOczmgYMGmRlTI0fCjRvwyy8wcSJ06QIWi61TiiR+8TJTqly5cixYsCDaWJYsWeLjqWzC29sbf39/fH19bR1FRERERETkhdhZ7NjUfhOtCreKHPNw8uC307/ZMBUwfLhZvvfI1atRW98lQu7uZpbU4MGmIAVw967p6f7557bNJpJUxEtR6syZM4waNYpcuXLRqlUrPv30U3744Yf4eCoRERERERF5QRncM/BNi2/4sc2PeJfx5nSf0/Qt3xeAL3y/4NDVQwkbyGqF116D5MmjjyfyiQAREWYZ3+Pc3MxLEZH/Fi9FqdWrV3P69GkOHTpEv379SJ8+PRs2bIiPpxIREREREZEYapivIdMbTCe5S3Ic7BwIDgtm5t6ZeM32YujGodwLuUf7Ve3ZHrA9foNYLNCpExw9apbrpUkD8+dD27bm/uvXo8+iSiTs7GDLFhP9EWdnqFbNxE+EkUUSlXgpSs2cOZNy5crRrFkzli1bhr29PW+//XZ8PJWIiIiIiIjEEWcHZ3y7+DK0ylDGbR9Hrv/lYtHBRVSZX4VeP/XiTvCd+A2QJQv88APs22eanRctCuHhULMm1K8PAQHmvGPHEk3FJ3lymDMH1q6Ffv3MjnzNm0PHjqZ/uzakF3m2eClKjR07lm+++YZZs2ZRvXp1Ll26xMSJCbCTg4iIiIiIiMSKs4MzI6qP4Ke2P3HjgWmWZMWKj68PzZY1i/8AFgtkzx51bG8P48aZWVRFisCYMeDlBfXqwblz8Z/nOTVoYJqcp0xpZkmtWWNqa//7n7k/IgI+/TSq/5SIxNPue8WLFyd9+vS4urqSK1cumjRpEh9PIyIiIiIiIvHkpz9/IsIaEW2seo7qtgnz2mumKNW/P3z0kRlbv94UqcaNgx49bJPrXzRubCK7uJjjXr1gxgyYOhVmzYKmTW0aTyRRiJeZUh999BENGzZk5cqVXNJcRRERERERkSRnfJ3xTKw7kWQOyQDIlzofwzYNo8W3Lbh853LCB0qRAsqWjT529y4cSuCm7C8gdWpwdTWrDWfONGPXrkGzZjBwoG2ziSQG8VKUateuHYUKFeK3336jdevW5MqVi+rVq8fHU4mIiIiIiEg8sLezp1+FfhzpeYS2Rduyu/NuvnnjG7YGbKWgT0Hm7J+DNaH7OmXLBpkzRx0nS2YqPmfOJGyOFzRkyJMtsEqXtk0WkcQkXopSKVOmxMfHBx8fH7Zs2cLp06f5+uuv4+OpREREREREJB7lSpWLxc0XkzJZSloVacUx72M0L9icmXtnEm4NB+CzrZ8xbfe0J5b7xbn69c2auC5dzPGwYXD2rGmI7uNjGjclQjNnwuNdbVxc4LvvbJdHJLGIl6JUuXLlWLBgQbSxLFmyxMdTiYiIiIiISAJKnSw1816fx5YOW3Cwc2Dp4aUM3TSUPuv6UHleZfyv+8dvgBQpYPZsU5waMgQOH4Z27UzTpnr1ogpT168nmiJVhgywahUsWAAlS8KRIzBpkrnv8GEIDLRlOhHbiZei1JkzZxg1ahS5cuWiVatWfPrpp/zwww/x8VQiIiIiIiJiA66OroRFhDHot0GRM6R2XthJ2S/LcvPBzfgPUKiQ+e7hAV98ARs2wOuvg50dPHxomqNXrw5//hn/WZ6DxQLt28PevZA7N2TJYpb0vf02FCsGGzea83791bTKEnkVxKoode7cOX744Qf27NkTbXz16tWcPn2aQ4cO0a9fP9KnT8+GDRtiFTQx8fHxoVChQpQpU8bWUURERERERGxm45mNnA86H23MK6MX7k7uCR+mZk0zWwqgUSPYtw+2bjUVn6lTE82sKbvHfgu3WGDNGlOkqlUL3nrLRC9e3EQXednFuCi1dOlS8uXLx+uvv06FChUoXbo0169fj3aOu7s75cqVo3PnzkyZMiW2WRMNb29v/P398fX1tXUUERERERERm6mbuy4b220kd6rcAKRJloY/b/5JUHCQ7UIdPQqbN0cdP3hg+k2FhNgu07/Inh1++w0mT4alSyE0FE6fhmrVYNCgJxuki7xMYlyU+vjjj2nbti3Hjx/n119/BWDw4MFxFkxEREREREQSvxo5a3CoxyEGVBzA6tar+aP3H3i6enL17lWGbRzGg9AHCRvo7l3ImjX6mLOzqfYkUnZ2cOdO9AKU1WrqaBaL7XKJxLcYF6VOnz7NiBEjyJcvH7Vq1eLrr7/mm2++ictsIiIiIiIikgS4Oroyrs44KmWrhJuTGwC7L+5m/I7xFJ9ZnC3ntrD13FZ6/Ngj/mdRlSsHhw6Bt7c5btPGLO1z/3tJYSJZxvdPrVtDxYpRx25upk3WoUO2yyQS32JclAoLC8PV1TXyuECBAkRERHDlypU4CSYiIiIiIiJJV5P8TTjY/SDp3NJRbUE1Gi9tzMx9MynyRRHW/bkufp/c3R2mT4ctW2DePJgyxUw5WrUKKlWC48fNeSEhiaZIlTeviTt+vIk/Z44ZL10aPvsMwsJsm08kPsSq0fnChQvZsWMHd//eGsDBwYH79+/HSTARERERERFJ2vJ75mdLhy3UzFGTwOBAAM4Hnee1xa/xy6lf4j9AlSrg4hJ1nD493LwJJUrAuHHw0UeJaoc+e3v44AM4d87MnPL1hf79YehQqFcvannflSuJppYmEisxLkpVqVKF0aNHU7lyZVKmTEnevHl5+PAhc+fOZdOmTdy5cycuc4qIiIiIiEgSdOvBLfZe3httLLNHZkplKJXwYSpUAD8/s0vf4MEwYULUDn3/+1+iqfSkTm2+OzubWVJbt0KHDmayV2Ag1KgBtWtDQIBtc4rEVoyLUps3byYwMJATJ07w9ddf06xZM6pVq8aMGTOoVasWqVKlomDBgnGZVURERERERJKYNK5pONDtADVz1gTAwc6BOyF3KDWnFDtu70j4QMmSwejRkC1b1NiDBzBgAJw6lfB5nkPFivD22+Z2jRpm9eGmTVC0KCxYoB36JOlyiO0F8ubNS968eWndunXk2JkzZ9i7dy8HDhyI7eVFREREREQkicuVKhe/vfMbc/bP4V7oPVoWbkn3H7sz7o9xnFxxki8afUEG9wwJFyggwKyVe1ymTKbHVCK2eTM8/mt2UBBMnQpvvQWOjrbLJRJTseop9Sw5c+bkzTffZMyYMfFxeREREREREUliLBYLXby68F7598jkkYnv3viOD7J/wLbz29h0ZhNglvp1Wt2Jy3cux2+YfPnMtna9epnjggXB1RVKlTK9psLD4/f5Y8jODrJmjT6WKpVtsojEhXgpSomIiIiIiIj8G4vFQuVUlTna/Siti5iVN3W/rss8v3kU+qIQC/wWYI3PdWlubjBtGvz+OyxfDvv3Q58+ptdU5cpw+nTUuYlkfVyVKnD4MLz7rjl+912zO5+jY6KJKPJCVJQSERERERERm0npkhKLxcK3R75l7yXTEP32w9t0WN2BUZtHxX+AatWgcGGzS9/48bBtm5kp5eRk7l+/HqpWhT/+iP8szyFFCpg/HzZuhDlzYOxYMz5/vuk7deuWOVaRSpICFaVERERERETEpqxWK+N3jo82Zm+xj2yOnqAqVoTduyFLFtN7qmlTU6gqXhymTEk0O/TVqBG9LZabG/z4o2l+/ssv4O1tVifeu2e7jCL/RUUpERERERERsSmLxcLPb/1M26JtI8dSJUvFz3/+bKtA5nv//nD/vrn98CG8/75Z6pcItWoFR46YSV/168OMGeDjAyVKwM6dtk4n8nQqSomIiIiIiIjNebp6srj5Yta0XsNbRd/iTJ8zDK82HIDFhxZz9NrRhA105070re4AUqaEMmUSNscLyJIFli41S/we+fNPU6S6fdtmsUSeSUUpERERERERSTQa52/M182/xt3ZHRcHF8IiwpiwcwKlZpfis62fERoeytCNQzl2/Vj8BvHwgIMHoXdvc+ziAu7ucOlS/D5vLO3dCyEh0cfKljXxRRKbV74o1axZM1KlSkWLFi1sHUVERERERET+wcHOgZ2ddvJeufcYumko+afn59Otn1JiVgk+2/oZYRFh8ffkbm4wdarpKj5/vtmRr3Jl0wh94EA4fz7+njuG6tYFPz8oX94cFykCW7aYCV4HD9o0msgTXvmiVN++fVm0aJGtY4iIiIiIiMgzuDi4MLbOWH5s+yMBgQEAhISH8OHGD3n9m9fjP0CNGtC6NTg6muOAAFiyxFR85s2DGzegfXu4fDn+b/oWLQABAABJREFUszyHfPlg61azM9+6deDrC3Z2pjA1dqypqYkkBq98Uap69ep4eHjYOoaIiIiIiIj8h1/+/IVwa/SKSs0cNtihL2dO01W8eXPo1AmKFYNFi0yX8SVLwGpN+Ez/4OBgJnNlzmzi7dkD/frBtGkQGGjOWbMGvvgiUcSVV1SSLkpt2bKFxo0bkylTJiwWC6tWrXriHB8fH3LkyIGLiwvlypVjz549CR9UREREREREYm1MrTF8UOED7CzmV9n0bukZsmEIozaPIjQ8NGHDpExplvQNHBg1Q+rWLXjrLRg/PmGzPAdnZ/j8czh2DFKnNjW1t98Gb2+oVw8uXLB1QnkVOdg6QGzcu3eP4sWL07FjR5o3b/7E/cuWLaNfv37MnDmTcuXKMWXKFOrVq8eJEydIly7dCz9fcHAwwcHBkcdBQUEAhIaGEhqawH8BvqIe/Tnrz1vk1aD3vMirRe95kVdLTN7zjjgypsYYmuZryuCNg1nQeAFzD85l1OZRfH/se75s9CUl0peIp8RPERGBw08/YXlsyOrqSljNmpBI/y5zcTGN0Nu2tefOHVPcW78eiha1snt3GDlz2jigvBSe931tsVpfjol6FouFlStX0rRp08ixcuXKUaZMGaZPnw5AREQEWbNmpXfv3gwePDjyvN9//53p06fz3Xff/etzjBw5ko8//viJ8SVLluDq6ho3L0REREREREReyKn7p5gWMI0waxhTC0zFzmLHjts7yOCUgVyuueL1uR2Dgij25Zdk2boVgFBXVyLs7TnUrRuXKleO1+eOqRMnUjFoUNVoY3ny3GT8+K1YLM94kMgLuH//Pm3btiUwMJDkyZM/87wkPVPq34SEhLBv3z6GDBkSOWZnZ0ft2rXZuXNnjK45ZMgQ+vXrF3kcFBRE1qxZqVu37r/+IUvcCQ0NZf369dSpUwfHR00GReSlpfe8yKtF73mRV0tcv+e7hXfjQtAFcqXKxeZzm5m2bBqhEaEMrjiYwZUG42TvFAepn6F1a8JWrMCycSOMGIFjnz6UmTCBiDNnCJ86FdKmjb/njoEGDaBw4TC6drXn0iULTk5Wzp1LRdGiDciWzdbp5GXwaGXZf3lpi1I3btwgPDyc9OnTRxtPnz49x48fjzyuXbs2Bw8e5N69e2TJkoXly5dToUKFp17T2dkZZ2fnJ8YdHR31g1MC05+5yKtF73mRV4ve8yKvlrh6zzs6OpLfJT9Wq5X2a9rzIOwBAKO3jebHP39ke8ftuDrG4wqX1q2hdWvsAVasgGXLsOvZE7tJk2DCBNNNfMoU6NDB9KOysYYNTV8pb29o1cpC7tyQO7cjISGwbx8849dikefyvO/pl7Yo9bx+++23F36Mj48PPj4+hGsfTRERERERkURl6ZGlXLpzKdpY9hTZ47cg9TStWkH16uDmZo4/+AAmTTJfc+dC3boJm+cpUqUymwU+bt486NnT7NQ3ejTcvGn6uHt52SajvNyS9O57/8bT0xN7e3uuXr0abfzq1atkyJAhVtf29vbG398fX1/fWF1HRERERERE4laLQi0YWmUo9hZ7ABztHPn97O/cCb6T8GHSpwd3dzh5EiZPNmMXLpjt7oYOTfg8z6FLFxg7FqZNgzJloEULKF/eFKjCwmydTl42L21RysnJCS8vLzZs2BA5FhERwYYNG565PE9ERERERESSNid7Jz6p+Ql7uuyhWPpirGq9ig3tNuDh7MGd4Dv4XrTB5IJBg8zyvccVKZLwOZ6DvT0MGAC+vnDrFuzcaYpRw4ZBlSoQEGDrhPIySdJFqbt37+Ln54efnx8AZ86cwc/Pj4C/3yX9+vXjyy+/ZOHChRw7dowePXpw7949OnToYMPUIiIiIiIiEt9KZSzF/q77aZC3AV6ZzNqzaXumUX5ueQatH8TDsIccv3Ecvyt+8R9myhSoXTvq2NERvv8+/p83Ftzc4K+/oo+dOWMmfonElSTdU2rv3r3UqFEj8vjRznjt27dnwYIFtGrViuvXrzN8+HCuXLlCiRIlWLdu3RPNz1+UekqJiIiIiIgkfvZ29tGOB1YaiJ3FjhG/j2DNiTVggT9v/smHlT/ko6ofxd8Ofdmywa+/wsyZZl3c8uVRvaZOnIAsWaKOE4ls2WDgQPj0U3j0q29goOnh3rkzWCy2zScvB4vV+s85hPK8goKCSJEiBYGBgSRPntzWcV4JoaGh/PTTTzRo0EC78oi8AvSeF3m16D0v8mqx5Xve/7o/9b6ux4WgC5FjxdIXY03rNWRPmT1+nzwsDBz+nh9itULx4vDgASxcCBUrwtatppmTi0v85nhOu3bBO+9AjRom7pw50KiR+R7L+R7yEnveekmSXr4nIiIiIiIi8qLsLHZcvRt9U6yg4CDSuydAlcXhsQVLFgt89x14epqGTV27Qp06Zqu7vXvjP8tzKF8e/PzMCsQvv4TVq2HPHtMS69Ahc05EBNyxQR95SfpUlBIREREREZFXSq5UuRhceXDkDn0WLJy7fY6PNnzEg9AHCRsmXz7Ytg0++cRMPwoOBn9/Uw36+OMnG6TbgJsbuLqa202awJEj0L495M9vxiZPhqJFYfNm22WUpElFqRjw8fGhUKFClClTxtZRRERERERE5AU52TsxqsaoyB36+lXox9jaY/Hx9aHU7FLsvrA7YQPZ25uvxwtQ4eFw7VqibN6UNi1MmADOzqbH1IABcO6cWeI3YICpq4k8DxWlYsDb2xt/f398fW2wlaiIiIiIiIjEiVIZS+HbxZfRNUczoNIA9nfbj4eTBxXnVWR7wHYAHoY95OCVg/EfpmFDKFUq6tjV1ayTO3Ei/p87hkJCYNiwqFqa1WqKVYlk5aEkASpKiYiIiIiIyCvLyd4JFwfTVLxQ2kLs6LSDuU3mUiFrBQD6/9Ifr9leDNs4jJDwkPgLUqSI6So+cqSZgvS//0FQEJQoYW5HRMTfc8dQYOCTzc49PSFNGtvkkaRHRSkRERERERGRvznYOfBuiXexs9gx78A8vtj7BeHWcEZvHU2ZL8tw5NqR+HtyR0cYMQLOnoXOneHAAdP8/L33zJZ3j6Yk3byZKHpNpU0LGzbAxIng5AR58pjaWooUtk4mSYWKUiIiIiIiIiL/8DDsIeO3j4825n/NnwhrAsxYypDBfHd1NbOkNmyAN94w/aXu3zfNmxo3hitX4j/Lf7Czg379YN8+WLkSNm2CjBnhr7+gRQs4c8bWCSUxU1EqBtToXERERERE5OVmZ7GjVZFWONg5RI5ZsRIQGJDwYWrWhE6dzO1ateDQIVi71kxLWr484fM8RZEi5uuRS5dMoapYMZg/H/bvh5Yt4fp122WUxEdFqRhQo3MREREREZGXm5O9EyOrj2RP5z0UTVcUr4xejKw+kirZqgBwL+RewofauRN2P7Yz4F9/wahREBqa8Fn+Q9GicPCgmeDVsSNUr27qZ0WKwI8/2jqdJBYqSomIiIiIiIg8Q8mMJfHt4suaNmsYWnUoKVxScD7wPLmm5mLstrGER4QD8Nf9v+I/zL17kC5d9LHMmeP/eWMoeXJYsMBsLHjnjhm7ds2sPFy1ypbJJLFQUUpERERERETkXzg7OJPJI1PkcVq3tLQv3p4hG4ZQeX5lFhxYQLYp2Zi6e2r89pyqXRuOHDHNmsCsh8uXzzRIT6Ru34Z/LjLKlMm0xRJRUUpERERERETkBbg4uDCuzji2ddzG9XvX6bimI/dD79N3XV9qLqzJmVvx2N3b0xO+/RZ++AEWL4apU8344sXQpUvUlKREsDsfQMqUpgVW48bm2NHRrDqsUMH0mZJXm4pSMaBG5yIiIiIiIlIxa0WqZq+KlagC0OZzm/nxj3hummSxQKNG4BDVhJ3wcFi61HQW37wZPvgABg2C4OD4zfIc0qeH1avhyy9NDW3/fnB2hvLl4fPPTXR5NakoFQNqdC4iIiIiIiIR1gjcndyjjbk7uWPFGr/L+J6mXTszJSlrVrM2btIkGDcOSpcGP7+EzfIUFgt07gzdu0OhQqZfe//+8OGHZtIXwP37ZsJXIpnkJQlARSkRERERERGRGLCz2DH1talsaLeBbCmy4eboRrMCzei7ri+1FtWK32V8T5Mrl5mSlDJl1NiRI1C1qmnulIg4OcFnn5kd+l5/3Yy1awdvvw1Nm5qG6PLyU1FKREREREREJBZq5qzJ4R6HWdt2LYuaLWJDuw2cuXWGojOK8vWhryPPS5DZU7t3m136HlexIri5xf9zx0DRomYW1dSpsGKFGVuzxoxv3mzbbBL/VJQSERERERERiaXkzsmplqMaYIpUh3oc4q2ib+Hh5AHAX/f/ouiMoiw9vBRrfK5Pq18f9u6F4sXNcb588NtvpjB1/Hj8PW8s3LtnZk097vZtyJDBJnEkAakoJSIiIiIiIhLHkjsnZ1bjWbxe4HWsVites73wv+5P2+/b8ubyN7l+73r8PXnRorBnD4wYAb/+Cjt3ml35SpY0U5IiErjf1X9wc4M5cyBduqixkBA4etR2mSRhqCglIiIiIiIiEo++OfIN5wLPRR6vOLaC/r/2j98ndXKCkSMhe3YoU8ZsedelC3z6Kdy8ac5Ztw4WLkwUncUbNoTDh6FxY2jQwOzUV7++uS8oyLbZJP6oKBUDPj4+FCpUiDJlytg6ioiIiIiIiCRy2wK2RTu2YKFc5nIJG8LV1cySOnYMPD3hxAlo3RrefReaNUsUncXTpTN92r/91uzU5+oKJ0+autqECVETvP76y7Y5Je6oKBUD3t7e+Pv74+vra+soIiIiIiIiksj5NPRhWYtlpEmWBoAKWStw88FN24RJndp8b9MGAgPN7dWroUgROJPAuwU+hcUSvSd7tmymQDVwINSqBXPnQs6csGhRopjgJbGkopSIiIiIiIhIPGtZuCVHex5lQp0JbOuwjaFVhwIwaeckVh1flbBhdu2CAweij2XLBjlyJGyO5+DsDOPHw8aNZtZUly6mPVb79tCqVdRKREmaVJQSERERERERSQDp3dPTv2J/LBYLFosFq9XK9vPbabasGe+uepfbD27T9YeurD+1Pn6DlC8PK1dC2rTm2MEBDh6ECxfi93ljoVo1KFw4+uyo5cvhhx9sl0liT0UpERERERERERuwWCx89+Z3LHh9ASuPryT31Nx8uf9L6n5dl55re3Iv5F78PXnTpnDkCDRpAosXw44dkDUrhIY+OYsqEQgJgcyZo4+lSQNZstgmj8QNFaVEREREREREbMRisdC+RHt+bvszgcGBkeMz9s6g3tf1sMZn46R06WDVKmjZ0uzQB6ZpU5kyMHy4KVBduwZHj8Zfhufk7Azz5sF335m2WGnTQsGCULs2fPABBAfbOqHEhIpSIiIiIiIiIjb248kfCbeGRxt7Pf/rWCyW+H3if16/UycYNgzGjIEKFcwOfV5eMHly1PZ3NvTGG3D4MKxZA5s3m135pk0zdbTDh22dTl6UilIiIiIiIiIiNja65mh8Gvjg6ugKQNbkWRm8YTBDfhtCcFgCTgNydIQRI2DnTrh4ETZtMtOQ+vUz05IuXky4LM+QKZNpi2VnB/37g6+vqa3duGHuv3QJ3nwzUbfIkr+pKBUDPj4+FCpUiDKPpjeKiIiIiIiIxIKdxY6eZXpysPtBWhVuhV93P0bXGM3EnRMpO6csB68cTNhAnp5mm7vHHT5silaJTLFisH8/1KgBYWFQqZJZ5le0KHz7ra3Tyb9RUSoGvL298ff3x9fX19ZRRERERERE5CWSJ3UevmnxDamTpWZIlSHs7boXgI5rOkb2l1rhv4I//vojfoNkzAjdu0df3vfgAfz2W/Qt8BIJe3vzffRoOHvW3L59G1q1gi++sFUq+S8qSomIiIiIiIgkUsXSF8O3iy8rW63k/+zdd3RU1cKG8WfSCb2GKlVFlCYKIgqiKKJXBRsKCvYGNrwK2LDjvTZQUaxgQ7A3lCLKtYCCCggiKh1Uek8gpMz3x0g0Hx2SOSnPb60sMntOeRM5gG/22ScUCvHJb5/Q/Z3uNBvajCenPEl2OJ/WeUpKiizYNGFC5Kl8F14YeVJf9+6RdabWrMmf8+6HjAx4/fXcYyVKQKdOweTR7llKSZIkSZJUgCXEJnBA2QPIzM6k+zvdSc9KZ3PmZq795FpOfvVkMrIy8u/k7dtHbtt76ikYMQJGjoTx4yP3xm17Kl84HJlFFbD4ePj2Wzj//L/HQiEYNy64TNo1SylJkiRJkgqBp6c+zdota3ONVStVjfjYfF7nqWxZKFUq8nnXrpGS6owzoH79yNhTT0HTppFGKGDlykW6s9deizxE8Ndf4fLLI+998klkNpUKDkspSZIkSZIKgUuaX0KvI3vlvI6LiWPioon5O1NqR2rUiBRRSUnw8cdw7bXw22+RFcbvuqtAND/dusE990SixsTAokWRHu2YYyJRs7PhvfcK5PJYxYqllCRJkiRJhUDJhJI8ecqTjLtgHLXL1uaT7p/w+lmvEx8bz9rNa1m2aVl0A2VkQL9+fzc7WVlw993wzTfRzbEHateGL7+E1auhefNIadWlS6SoWrky6HTFl6WUJEmSJEmFyIn1T+S3a3+jQ70OHF3raABu++w2DnvqMN6a/RYA89fOZ/2W9fkbZM0aSE7OPVa5cuTJfQVQq1YwfTqcdBKMGhUZ+/DDyPJYEyYEGq3YspSSJEmSJKmQ+f/rSN193N0cV+c4znnzHM5/63xOf/10Gj/dmM8WfJZ/IVJS4KuvIvfJxcbCAQdA3bqQmJh/59xPSUmRdab+afnyYLLIUkqSJEmSpEKvcsnKvHnOm7za5VXem/MeP638iSUblnDCyydw3SfXsTkjn56OFxcXWVH8m2/g3Xcjv9aqBevWwYUXwtKl+XPefRQXB//9L1Sp8vdYYiKMGQPp6cHlKq4spSRJkiRJKgJCoRD1ytcjPSt3u/Lp/E+JCeXz//4fcQQcfjiEQpHXCxfCZ59F7o174w2YNQsuvjhSVgXslFPgxx8jvzZrFlkGa/BgOOoo+PnnoNMVL5ZSkiRJkiQVEdVLV+e4OsflvI4JxbAhfQNT/5ga3SDNmsHMmXDiidC1K7RtC8OHR0qqz/LxlsI9lJICH30En34KffvClCmRmVKHHw5vv/33dlu3BpexOLCUkiRJkiSpiKhdrjaf9viUwScPJikuiRuPupE65erQdlhb+o7vS3pmFO9Rq1AhsqL4v/4Fa9dGxpYuhRNOgA8+iF6OnQiFoGLFyOfNmsF338FVV0V6M4Bp06Bevchi6MofcUEHKIyGDBnCkCFDyMrKCjqKJEmSJEm5xIRiuK7VdZxy4CnUKVeHECEenvQwd3x+B2PmjWFCjwlUSq5EemY6cTFxxMbE5l+Y9eth0qTcY9Wrw3HH5d8591FyMjz2WOTzlSuhTRvYvBlOPx2uvhoefnj7hw1q/zhTah/06tWL2bNnM3VqlKc/SpIkSZK0hxpUaJBTOvU9pi9TLp9C+zrtqVgiMj2o7/i+HPfSccxbMy//QpQrB9OnR2ZHQeQpfStWQLt28NNP+Xfe/dSvX6SQ2ubpp+HJJ4PLU1RZSkmSJEmSVAw0q9qMQScPIhQK8eBXDzJ4ymC+WvwVTYc25dnvnyUcDufPiWvVgnHjYNAgeOihyAJOW7dCixbw+OOQnZ0/591HmZmwZk3usaQkaN8+mDxFmaWUJEmSJEnFyPot63nsm8dyXqdmpHLtx9eycN3C/DtpTAxcfz3ceCM0bx5ZwOnKKyNj778f2WbLFnj3XcivcmwPxcXBO+/As89GbtdLTIysLbVyZaCxiiRLKUmSJEmSipHfN/5OqYRSucYOqngQZZPKRi9EiRIweDB8+y107hwZu+IKOPNM6Nbt74XRAxIKweWXww8/wOuvw48/wimnRPqyu+6C338PNF6RYSklSZIkSVIx0qhyI2ZcNYMrDr8CgMMqH0aZxDIkxiZGP0zLlpEG6Omn4ZVXImMjR0KTJtsvkB6Agw+GLl0iS2FBpIx6/vnIE/refhvS0uCOO2DTpmBzFlaWUpIkSZIkFTOlEkrxzGnP8NH5HzG6+2i+uuQrSiaUZO6aufQa3YuN6RujFyY1Fe67L/fY8uVQpkz0MuyhmjUjs6aOPx7OPjuyLNZ998Hhh0fuSNTesZSSJEmSJKmYOvWgUzmg7AGEQiEAfl75My/NeImmQ5vy1eKvGDt3LLeMv4X0zPT8C1GyJDz2GJQv//dYZibMnZt/59wPFSrAm2/CddfBnDmRsd9+g9at/57spT0TF3QASZIkSZJUMJx28GnMuGoGPd/rSdthbUmOTyY1I5Uxc8fw6pmv0iSlSf6c+Nxz4eij4aKLIq9PPx06dIh8npYWWXG8AMnKgg8/zD0WGxuZOaU950wpSZIkSZKUo36F+kzsOZHDqhxGakYqADNXzOTI545kxrIZ+XfimjVh3LjIYk3XXQelSsG8eVCnDgwZ8vdT+TZG8dbCnYiLi0Rt2fLvsczMyAMFFy4MLFahYyklSZIkSZJymbt2Lr+s/iXXWIMKDTi08qH5e+KYGCj7j6cAVqsG55wDvXvDqadGHoVXty689Vb+5tgDDRrAV19FFjo/6yz4/HNYsgSaNoXXXgs6XeFgKSVJkiRJknJpWKkh313+Xc7teqUSSvHzyp85/uXjWbhuYfSCJCdHZkmNHh1ZSbx7d1i9OlJUXXQRbNgQvSw7EB8P99wDb7wBxx4LM2bAaafBBRdEYm/j7Kkds5SSJEmSJEnbaZzSmCmXTeGWo29h2BnD+Lzn5yxev5gmTzdh2LRhhLfdThcNnTpF7pX75zlfeimy4ngBEPNXu1K2LLz6aqSk6tYtMjZiRGRW1T33RG7x098spSRJkiRJ0g4lxiXynxP/w9mNzqZdnXb8ePWPnNXoLC754BKmLZsGwIrUFXz828f5G2Tr1shT+v6pYkVo2DB/z7uPzjkn8jDB6dMjs6aysmDAAGjXDhYsCDpdwWEpJUmSJEmS9kiZxDIMO2MYM66aweHVDicrO4szR53JqSNO5coPr2TT1k35c+LERBg5El55BcqUiTQ+depA27Zw552QkZE/590P2dlwyy25J3dNmgSffRZcpoKm2JdSH330EQcffDAHHnggzz//fNBxJEmSJEkq8LatNXXDmBv4esnXADz7w7M0G9qMWStm5c9JQ6HItKMZM+Ddd+Gbb+Cuu+CBB6BNG/j11/w57z4KhyPrTMXG/j0WFweVKgWXqaAp1qVUZmYmffr04bPPPmPatGk89NBDrF69OuhYkiRJkiQVeH9s/INh04flGlu9eTUpJVPy98R16kTug4uLizz6btIkWL/+7/viVqyAnj1h+fL8zbEbsbGReF99BfXqRR4k2LUr1K8faKwCpViXUlOmTOHQQw+lRo0alCpVik6dOjFu3LigY0mSJEmSVOBVK1WNxzo+Rsn4v9d6Wr9lPXNWzYlukJYtYdYs6Ngxcs9c27bw8svQuDF8+GF0s+zAUUdF1pYaMyayCPphh8GWLZGn9H35ZdDpglWoS6kvvviC0047jerVqxMKhXjvvfe222bIkCHUqVOHpKQkWrVqxZQpU3Le++OPP6hRo0bO6xo1avD7779HI7okSZIkSYVaKBTi8haXM+OqGbSu2ZpLm1/KS51fos0BbYDIAuhREx8f+fXBB+GXXyKfr1wJp58OzzwTvRw7Ubo0NGny9+v162HdOjjuuMhsqkWL4IwzYOHCgAIGpFCXUqmpqTRt2pQhQ4bs8P1Ro0bRp08fBgwYwA8//EDTpk3p2LEjK1ZE8cKQJEmSJKkIq1+hPl9c/AVPdHqCC5teSEwohklLJlF7UG0enfwo2eFswuEwyzfl8+10GRnwwgu5x5KS4KST8ve8+yAlBT7/PLIk1sCBkcLqgw+gadPIeu7FRVzQAfZHp06d6NSp007ff/TRR7n88su5+OKLARg6dCijR4/mxRdfpF+/flSvXj3XzKjff/+dli1b7vR46enppKen57zesGEDABkZGWQUwJX+i6Jt32e/31Lx4DUvFS9e81Lx4jVf9MQRl/Pfs3Glxlzd4mpuGncTH/3yEe1qt2PQlEE83vFxzjv0vPwL8eWXxF51FTF/3bYXDofJ/vhjsq+4Iv/OuR/69YNly2J46qnIaugbNsCNN4Y56aRMSpcOONx+2NPrOhQO//PhhIVXKBTi3XffpXPnzgBs3bqV5ORk3nrrrZwxgJ49e7Ju3Tref/99MjMzOeSQQ5g4cSJly5alRYsWTJo0iYoVK+7wHHfddRd33333duMjRowgOTk5P74sSZIkSZIKrR83/sijix5lXea6nLFjyx3LFTWvoHRcPrUu4TAHfPoppZcuZcEpp5BWuTLExFBx5kxWN2qU+3F4AcvICHHjje1ZuvTv78Vdd02iWbOVAabaf2lpaXTr1o3169dTpkyZnW5XqGdK7cqqVavIysoiJSX3qv8pKSnMmRNZdC0uLo5HHnmE9u3bk52dzS233LLTQgqgf//+9OnTJ+f1hg0bqFWrFieddNIuv8nKOxkZGYwfP54TTzyR+G33DEsqsrzmpeLFa14qXrzmi4cTs07kneHvMH359JyxL9d9ya2dbuWEuifk34lPPRWA2tteL1pE3NlnE27dmqxhw6BWLUITJhA+4QQIhfIvxx5o3x6uvz6b116L4cYbs7j11iMDzZMXtt1ZtjtFtpTaU6effjqnn376Hm2bmJhIYmLiduPx8fH+IRplfs+l4sVrXipevOal4sVrvmhLD6dzaJVDc5VSFUtUJDE+Mbr/3Rs0gE8/JXThhcS0aAFnnQUvvghdu8LTT0P58tHL8v9UrBh5Kt8558DJJ8cSH19wZnLtqz39b1uoFzrflUqVKhEbG8vy5bkXUlu+fDlVq1bdr2MPGTKERo0aceSRhb+9lCRJkiQpv5RKKMWrZ77KqLNHUT6pPPXK1aNR5Uac8PIJ3DzuZtIz03d/kLzSrh3MmAFHHx0ppABGjYqsLv7ll9HLsRNnnAE7mAdTpBXZUiohIYEWLVowYcKEnLHs7GwmTJhA69at9+vYvXr1Yvbs2UydOnV/Y0qSJEmSVOSde+i5zLx6Ju+f/z6f9/yc/3T4D4O/HUzL51vy88qfoxekdGn444/cY0uWwKZN0cugHIW6lNq0aRPTp09n+vTpACxYsIDp06ezePFiAPr06cNzzz3HSy+9xM8//8zVV19NampqztP4JEmSJElSdNQoU4PDqhxGbEwsN7e5mSmXTyEhNiHn/Z9W/ESn1zqxeP3i/AsRFwe33577dr2kJPjmG8jMzL/zaocK9ZpS3333He3bt895vW0R8p49ezJ8+HC6du3KypUrufPOO1m2bBnNmjVjzJgx2y1+vreGDBnCkCFDyMrK2q/jSJIkSZJUXDWr2owpl00hFAqxbvM62g1vx+rNq2nydBOeOvUpujXulj8nPvtsOOoo6NEDli+HM8+E+++HsWPhtdegfv38Oa+2U6hLqeOOO45wOLzLbXr37k3v3r3z9Ly9evWiV69ebNiwgbJly+bpsSVJkiRJKi5Cfz357qZxN7F682oA1qevp/s73cnMzqRH0x75c+KaNWH8eFi5EqpWjTytr3t3aNYsUkxteyBaVhbEFv6FxwuqQn37niRJkiRJKtxSt6by+cLPc42VTSxLx/od8/fEsbGRQgoiM6emT4fzz488qQ9g9mxo2BD+sVa18pallCRJkiRJCkzJhJJMu3IaFza5EIDYUCxZ4Sym/hHlh4uVLg3PPguNGsG6dZGiau5cOPFEuOUWSI/ikwKLiUJ9+15QXFNKkiRJkqS8UzapLC93eZlTDzyVNZvXcO6h51IxuSLhcJhXf3yVrod1zbUoer7r3x82box8Hg7DQw9BxYrQt2/0MhQDzpTaB7169WL27NlMnRrl1laSJEmSpCKs62FdufrIq6mYXBGAn1b+xKUfXMpRzx/F7JWz2ZK5heHTh5Mdzs6/EJmZsGBB7rGkJOiYz7cTFkOWUpIkSZIkqUA6rMphfHPZN2zJ3EKLZ1twymuncPH7F3Pyqyfzx8Y/8uekcXHw8cfw2GOQkADx8VCt2vZFlfabpZQkSZIkSSqwDq92ON9f8T0n1z85Z0H08fPH0/jpxoybNy5/ThoTAzfcAFOnwvDh8Msv0KVL5Fa+//4XVqzIn/MWM5ZSkiRJkiSpQIsJxfD9n9/nGtuYvpEapWvk74mbNIFu3SKzpQCWLoWHH4bGjeGTT2DLFnjwwciv2muWUvtgyJAhNGrUiCOPPDLoKJIkSZIkFXmJcYm8eMaLVC9dPWcsK5zFw5MfZkP6hugFqVULZs6EFi3glFMiT+jr3x+OPDIyrr1iKbUPXOhckiRJkqTo6lCvAzOvnsnZjc7mxHon8txpz/HW7LdoOrQpXy3+KnpBUlJg9Gi45hqYMSMyNmtWpJgaOTJ6OYoASylJkiRJklQoVChRgTfOfoP3znuPS5pfwoyrZlCjdA3aDW/HyFl/F0Kr0lblb5CsrMjte/8UDsOhh+bveYsYSylJkiRJklRohEIhkuOTAahXvh7/u+h//LfDf+lQrwMAH8z5gDqD6vDMd88QDofzJ0RcHHz0ETRt+vdYVhb06QO//54/5yyCLKUkSZIkSVKhFRsTy01H30Sl5Er8tOInurzRhdSMVK4afRWnjzydFan59KS8Ro3g22/hppvg1FPh44/hp58ii6O/+27+nLOIsZSSJEmSJEmFXjgcpt+EfmSHs3PGPvr1I96b817+nTQxMfI0vvfeg5NOiix23q4dnHkmDB3693Z//JF/GQoxS6l94NP3JEmSJEkqWDKzMzmgzAG5xuJj4qlbrm7+nzwuLvJrxYrw9tswbBicfXZk7N13oV49eOQRyM7e+TGKIUupfeDT9yRJkiRJKljiY+MZcuoQPjr/I6qUrEKFEhXo2KAjlZIrRTdIKAQXXQSVKkWeynf22ZCeDv/+d2Q2lWtO5bCUkiRJkiRJRcapB53KzKtn8uH5H/Lh+R/SvFpztmZt5fy3z+eHP3+IXpBwGPr2zT07asIE+PDD6GUo4CylJEmSJElSkVKlZBWOrnV0zutVaav4dfWvHPX8Ufz36/+ybOMyzn7jbBatW5R/IbKyoHHjyMypbeLj4YADdr5PMWMpJUmSJEmSirTqpasz+dLJ9Gndh36f9uOwpw/j7Z/fpunQpoycNTJ/ThoXBw8+GJkdVaNG5Ha+f/0LqlXLn/MVQpZSkiRJkiSpyEuITeDBDg9yw1E3sHrzagDWp6/n/LfPZ/A3g/PvxO3bw48/wscfwzvvQPPmsHUrdO0KxXytakupfeDT9yRJkiRJKnwyszMZO29srrHSCaX510H/yt8TV6gA/+wQ1qyB+fPh6KNh4ED480/o1g3++CN/cxQwllL7wKfvSZIkSZJU+MTFxDHpkklc0OSCnLHM7ExOevUkJi+ZHL0gVavC119Hnsh3221w2GHw+uvQpAl88EH0cgTMUkqSJEmSJBUbZZPK8kqXV3jtzNfof0x/Zl49kyolq3DssGO5e+LdZGZnRidIQkJkltS110ZmTgGsXg2XXQYbN0YnQ8Digg4gSZIkSZIUbd0ad8v5/MuLv+T+L+7nni/uoUKJClzb6lrC4TCfzv+UDvU6EPrnE/Ty0tatkbWm/mnYMChdOn/OV8A4U0qSJEmSJBVrcTFxDDhuAN9e9i1XtLgCgAETB3DSqydx/tvns3bz2vw5cUICfPMNnHlm5HXv3nDqqflzrgLIUkqSJEmSJAk4ovoRJMYl8un8T7n3i3sBGPXTKJoObcqXi77Mn5NWrAhvvRVZU+q//82fcxRQ3r4nSZIkSZL0l8zsTP497t+5xpZsWEJqRmr+nTQUgvPOy7/jF1DOlJIkSZIkSfpLXEwct7e9nfJJ5XONL9u0LKBERZczpSRJkiRJkv7h7EZnc1TNo+jxbg9WpK6gR9MedKzfEYCMrAziY+MDTlg0WErtgyFDhjBkyBCysrKCjiJJkiRJkvJBzTI1+bTHp6xIXUHVUlUBWJW2itYvtOam1jdxZYsrCYVCZGZnEhdjvbIvvH1vH/Tq1YvZs2czderUoKNIkiRJkqR8EhOKySmkAJLjkzmx3olcPfpqzhh5Bl8u+pKGTzZkwvwJAaYsvCylJEmSJEmS9kByfDJPnfoUH5z3AZOXTub4l49n3tp5nPjKidwy/hbSM9ODjlioWEpJkiRJkiTthdMOPo0zG55JZnYmAGHCPDTpIQZ/OzjgZIWLpZQkSZIkSdJeyMzOZNH6RbnGyieV5/i6xweUqHCylJIkSZIkSdoLcTFxfNz9Yx7r+BgJsQkkxCRQKbkSx7x4DIO/GUx2ODvoiIWCpZQkSZIkSdJeignFcMNRNzDlsikM7zycH6/+kWuOvIYbxt5Ap9c68efGP4OOWOBZSkmSJEmSJO2jplWbcn7j80mKS+LRjo8y9oKx/Lj8Rz6Z+wkAWzK38OBXD7Ilc0vASQueuKADSJIkSZIkFRUn1T+Jn3v9TNnEsgB0HtmZsfPGMmLmCEacNYLDqhwWcMKCw5lSkiRJkiRJeahcUjlCoRCv/PgKY+eNBWDmipkc8ewRjJw1MuB0BYellCRJkiRJUh7LzM5kwOcDco1lhbM4tPKhASUqeCylJEmSJEmS8lhcTBwfnv8hTVKa5IxlZmfy+cLPA0xVsLim1D4YMmQIQ4YMISsrK+gokiRJkiSpgDq0yqFMuWwKt064lV/X/Mq/W/+bljVaArBk/RJqla0VcMJgOVNqH/Tq1YvZs2czderUoKNIkiRJkqQCLDEukUc6PsK7Xd+lXZ12lIgvweL1izn4yYO58sMrSd2aCsCK1BUBJ40+SylJkiRJkqR8Fhfz981qtcrUYtDJg3jlx1do8WwLnpzyJHUG1eHJKU8SDocDTBldllKSJEmSJElRFAqFuKLFFfxw5Q8kxCZw7SfXsjlzM9d+ci2njzydTVs3BR0xKiylJEmSJEmSAnBwxYOpXrp6rrGMrAyS45MDShRdllKSJEmSJEkByMzO5JBKh+S8rpxcmeGdhxMTKh51TfH4KiVJkiRJkgqY+Nh4Hjv5MT7p/gkpJVMYdsYwqpaqGnSsqInb/SaSJEmSJEnKLyc3OJl5182jZELJoKNElTOlJEmSJEmSAlbcCimwlJIkSZIkSVIALKUkSZIkSZIUdZZSkiRJkiRJijpLKUmSJEmSJEWdpZQkSZIkSZKizlJKkiRJkiRJUWcpJUmSJEmSpKgr9qVUly5dKF++PGeffXbQUSRJkiRJkoqNYl9KXX/99bz88stBx5AkSZIkSSpWin0pddxxx1G6dOmgY0iSJEmSJBUrBbqU+uKLLzjttNOoXr06oVCI9957b7tthgwZQp06dUhKSqJVq1ZMmTIl+kElSZIkSZK0V+KCDrArqampNG3alEsuuYQzzzxzu/dHjRpFnz59GDp0KK1atWLQoEF07NiRX375hSpVqgDQrFkzMjMzt9t33LhxVK9efa/ypKenk56envN6w4YNAGRkZJCRkbFXx9K+2fZ99vstFQ9e81Lx4jUvFS9e81LRtafXdSgcDofzOUueCIVCvPvuu3Tu3DlnrFWrVhx55JE8+eSTAGRnZ1OrVi2uvfZa+vXrt8fHnjhxIk8++SRvvfXWLre76667uPvuu7cbHzFiBMnJyXt8PkmSJEmSpKIqLS2Nbt26sX79esqUKbPT7Qr0TKld2bp1K99//z39+/fPGYuJiaFDhw5Mnjw5X87Zv39/+vTpk/N6w4YN1KpVi5NOOmmX32TlnYyMDMaPH8+JJ55IfHx80HEk5TOveal48ZqXiheveano2nZn2e4U2lJq1apVZGVlkZKSkms8JSWFOXPm7PFxOnTowIwZM0hNTaVmzZq8+eabtG7deofbJiYmkpiYuN14fHy8f4hGmd9zqXjxmpeKF695qXjxmpeKnj29pgttKZVXPv30073eZ8iQIQwZMiRnrao9bQC1/zIyMkhLS2PDhg3+xSUVA17zUvHiNS8VL17zUtG1rSfZ3YpRhbaUqlSpErGxsSxfvjzX+PLly6latWq+nrtXr1706tWLpUuXUqtWLWrVqpWv55MkSZIkSSpsNm7cSNmyZXf6fqEtpRISEmjRogUTJkzIWfw8OzubCRMm0Lt376hkqF69OkuWLKF06dKEQqF9Ps6RRx7J1KlT8yxXXhxvX4+xL/vtzT7b1vFasmSJ63jtobz+/RUNQWaOxrm95r3m81Nhu+aDzus1n//7ec3nr6Cvob0VdN78Pn9Rut73dV+v+fwV9DW0t4LO6zWf//vubJ9wOMzGjRupXr36Lvcv0KXUpk2bmDt3bs7rBQsWMH36dCpUqMABBxxAnz596NmzJ0cccQQtW7Zk0KBBpKamcvHFF0clX0xMDDVr1tzv48TGxubpH8J5cbx9Pca+7Lcv+5QpU8a/uPZQXv/+ioYgM0fj3F7zXvP5qbBd80Hn9ZrP//285vNX0NfQ3go6b36fvyhd7/u6r9d8/gr6GtpbQef1ms//fXe1z65mSG1ToEup7777jvbt2+e83vbku549ezJ8+HC6du3KypUrufPOO1m2bBnNmjVjzJgx2y1+XtD16tWrwB1vX4+xL/vl9dev3Arj9zfIzNE4t9d84fs9WZgUtu9v0Hm95vN/v6D/Gxd1he37G3Te/D5/Ubre93XfoP8bF3WF7fsbdF6v+fzfd38zh8K7W3VKKkA2bNhA2bJlWb9+faH6CYGkfeM1LxUvXvNS8eI1Lykm6ADS3khMTGTAgAEkJiYGHUVSFHjNS8WL17xUvHjNS3KmlCRJkiRJkqLOmVKSJEmSJEmKOkspSZIkSZIkRZ2llCRJkiRJkqLOUkqSJEmSJElRZyklSZIkSZKkqLOUkiRJkiRJUtRZSkmSJEmSJCnqLKUkSZIkSZIUdZZSkiRJkiRJijpLKUmSJEmSJEWdpZQkSZIkSZKizlJKkiRJkiRJUWcpJUmSJEmSpKizlJIkSZIkSVLUWUpJkiRJkiQp6iylJEmSJEmSFHWWUpIkSZIkSYo6SylJkiRJkiRFXZEppb744gtOO+00qlevTigU4r333tvtPhMnTuTwww8nMTGRBg0aMHz48HzPKUmSJEmSpCJUSqWmptK0aVOGDBmyR9svWLCAU089lfbt2zN9+nRuuOEGLrvsMsaOHZvPSSVJkiRJkhQKh8PhoEPktVAoxLvvvkvnzp13uk3fvn0ZPXo0s2bNyhk777zzWLduHWPGjNnhPunp6aSnp+e8zs7OZs2aNVSsWJFQKJRn+SVJkiRJkgqrcDjMxo0bqV69OjExO58PFRfFTAXK5MmT6dChQ66xjh07csMNN+x0n4EDB3L33XfnczJJkiRJkqTCb8mSJdSsWXOn7xfbUmrZsmWkpKTkGktJSWHDhg1s3ryZEiVKbLdP//796dOnT87r9evXc8ABB7BgwQJKly6d75kFGRkZfP7557Rv3574+Pig40jKZ17zUvHiNS8VL17zUtG1ceNG6tatu9uupNiWUvsiMTGRxMTE7cYrVKhAmTJlAkhU/GRkZJCcnEzFihX9i0sqBrzmpeLFa14qXrzmpaJr2zW9u6WOisxC53uratWqLF++PNfY8uXLKVOmzA5nSUmSJEmSJCnvFNtSqnXr1kyYMCHX2Pjx42ndunVAiSRJkiRJkoqPIlNKbdq0ienTpzN9+nQAFixYwPTp01m8eDEQWQ+qR48eOdtfddVVzJ8/n1tuuYU5c+bw1FNP8cYbb3DjjTcGEV+SJEmSJKlYKTJrSn333Xe0b98+5/W2Bcl79uzJ8OHD+fPPP3MKKoC6desyevRobrzxRgYPHkzNmjV5/vnn6dixY9SzS5IkSZKkvJWVlUVGRkbQMYqk+Ph4YmNj9/s4RaaUOu644wiHwzt9f/jw4TvcZ9q0afmYSpIkSZIkRVM4HGbZsmWsW7cu6ChFWrly5ahatepuFzPflSJTSkmSJEmSJG0rpKpUqUJycvJ+lSbaXjgcJi0tjRUrVgBQrVq1fT6WpZQkSZIkSSoSsrKycgqpihUrBh2nyCpRogQAK1asoEqVKvt8K1+RWehckiRJkiQVb9vWkEpOTg44SdG37Xu8P+t2WUpJkiRJkqQixVv28l9efI8tpSRJkiRJkhR1llKSJEmSJEmKOkspSZIkSZIkRZ2llCRJkiRJUhEyZMgQ6tSpQ1JSEq1atWLKlCm73efNN9+kYcOGJCUl0bhxYz7++ON8z2kpJUmSJEmSVESMGjWKPn36MGDAAH744QeaNm1Kx44dWbFixU73mTRpEueffz6XXnop06ZNo3PnznTu3JlZs2bla1ZLKUmSJEmSVOSlpu78Y8uWPd928+bdb7u3Fi5cSCgU2u7juOOO2+tjPfroo1x++eVcfPHFNGrUiKFDh5KcnMyLL764030GDx7MySefzM0338whhxzCvffey+GHH86TTz6591/MXrCUkiRJkiRJRV6pUjv/OOus3NtWqbLzbTt1yr1tnTrbb7O3atWqxZ9//pnzMW3aNCpWrEjbtm1ZvHgxpUqV2uXHAw88AMDWrVv5/vvv6dChQ86xY2Ji6NChA5MnT97p+SdPnpxrH4COHTvucp+8EJevR5ckSZIkSdIuxcbGUrVqVQC2bNlC586dad26NXfddRfZ2dlMnz59l/tXqFABgFWrVpGVlUVKSkqu91NSUpgzZ85O91+2bNkO91m2bNk+fDV7zlJKkiRJkiQVeZs27fy92Njcr3ex/BIx/++es4UL9znSDl1yySVs3LiR8ePHExMTQ0xMDA0aNMjbkxQQllKSJEmSJKnIK1ky+G1357777mPs2LFMmTKF0qVLA7B48WIaNWq0y/1uvfVWbr31VipVqkRsbCzLly/P9f7y5ctzZmLtSNWqVfd6n7xgKSVJkiRJkhSwt99+m3vuuYdPPvmE+vXr54xXr159j2/fS0hIoEWLFkyYMIHOnTsDkJ2dzYQJE+jdu/dO92/dujUTJkzghhtuyBkbP348rVu33uevZ09YSkmSJEmSJAVo1qxZ9OjRg759+3LooYfmrOWUkJBAhQoV9ur2vT59+tCzZ0+OOOIIWrZsyaBBg0hNTeXiiy/O2aZHjx7UqFGDgQMHAnD99dfTrl07HnnkEU499VRGjhzJd999x7PPPpu3X+j/49P3JEmSJEmSAvTdd9+RlpbGfffdR7Vq1XI+zjzzzL0+VteuXXn44Ye58847adasGdOnT2fMmDG5FjJfvHgxf/75Z87ro48+mhEjRvDss8/StGlT3nrrLd577z0OO+ywPPn6dsaZUpIkSZIkSQG66KKLuOiii/LseL17997l7XoTJ07cbuycc87hnHPOybMMe8KZUpIkSZIkSYo6SylJkiRJkiRFnaWUJEmSJEmSos5SSpIkSZIkSVFnKSVJkiRJkqSos5SSJEmSJElS1FlKSZIkSZIkKeospSRJkiRJkhR1llKSJEmSJEmKOkspSZIkSZIkRZ2llCRJkiRJUhHxxRdfcNppp1G9enVCoRDvvffeHu03ceJEDj/8cBITE2nQoAHDhw/P15xgKSVJkiRJklRkpKam0rRpU4YMGbLH+yxYsIBTTz2V9u3bM336dG644QYuu+wyxo4dm49JIS5fjy5JkiRJklQQpKbu/L3YWEhK2rNtY2KgRIldb1uy5F5FW7hwIXXr1t1uvF27dkycOHGvjtWpUyc6deq0V/sMHTqUunXr8sgjjwBwyCGH8NVXX/HYY4/RsWPHvTrW3nCmlCRJkiRJKvpKldr5x1ln5d62SpWdb/v/C586dbbfZi/VqlWLP//8M+dj2rRpVKxYkbZt27J48WJKlSq1y48HHnhg378vwOTJk+nQoUOusY4dOzJ58uT9Ou7uOFNKkiRJkiQpQLGxsVStWhWALVu20LlzZ1q3bs1dd91FdnY206dP3+X+FSpU2K/zL1u2jJSUlFxjKSkpbNiwgc2bN1PinzPD8pCllCRJkiRJKvo2bdr5e7GxuV+vWLHzbWP+301nCxfuc6QdueSSS9i4cSPjx48nJiaGmJgYGjRokKfnKCgspSRJkiRJUtG3N+s85de2u3HfffcxduxYpkyZQunSpQFYvHgxjRo12uV+t956K7feeus+n7dq1aosX74819jy5cspU6ZMvs2SAkspSZIkSZKkwL399tvcc889fPLJJ9SvXz9nvHr16vl++17r1q35+OOPc42NHz+e1q1b79dxd8dSSpIkSZIkKUCzZs2iR48e9O3bl0MPPZRly5YBkJCQQIUKFfbq9r1NmzYxd+7cnNcLFixg+vTpVKhQgQMOOACA/v378/vvv/Pyyy8DcNVVV/Hkk09yyy23cMkll/DZZ5/xxhtvMHr06Dz8Krfn0/ckSZIkSZIC9N1335GWlsZ9991HtWrVcj7OPPPMfTpW8+bNad68OQB9+vShefPm3HnnnTnb/PnnnyxevDjndd26dRk9ejTjx4+nadOmPPLIIzz//PN07Nhx/7+4XXCmlCRJkiRJUoAuuugiLrroojw51nHHHUc4HN7lNsOHD9/hftOmTcuTDHvKmVKSJEmSJEmKOkspSZIkSZIkRZ2llCRJkiRJkqLOUkqSJEmSJElRZyklSZIkSZKkqLOUkiRJkiRJUtRZSkmSJEmSJCnqLKUkSZIkSZIUdZZSkiRJkiRJijpLKUmSJEmSJEWdpZQkSZIkSVIRMXDgQI488khKly5NlSpV6Ny5M7/88stu93vzzTdp2LAhSUlJNG7cmI8//jjfs1pKSZIkSZIkFRH/+9//6NWrF9988w3jx48nIyODk046idTU1J3uM2nSJM4//3wuvfRSpk2bRufOnencuTOzZs3K16xx+Xp0SZIkSZKkAiB1685LmdiYWJLikvZo25hQDCXiS+xy25IJJfcq28KFC6lbt+524+3atWPixIl7dawxY8bkej18+HCqVKnC999/T9u2bXe4z+DBgzn55JO5+eabAbj33nsZP348Tz75JEOHDt2r8+8NSylJkiRJklTklRpYaqfvnXLgKYzuNjrndZWHq5CWkbbDbdvVbsfEiybmvK4zuA6r0lbl2iY8ILxX2WrVqsWff/6Z83rZsmV06NCBtm3bsnjxYho1arTL/W+99VZuvfXWHb63fv16ACpUqLDT/SdPnkyfPn1yjXXs2JH33ntvD7+CfWMpJUmSJEmSFKDY2FiqVq0KwJYtW+jcuTOtW7fmrrvuIjs7m+nTp+9y/50VTtnZ2dxwww20adOGww47bKf7L1u2jJSUlFxjKSkpLFu2bO++kL1kKSVJkiRJkoq8Tf037fS92JjYXK9X/HvFTreNCeVennvh9Qv3K9f/d8kll7Bx40bGjx9PTEwMMTExNGjQYJ+O1atXL2bNmsVXX32VpxnziqWUJEmSJEkq8vZmnaf82nZ37rvvPsaOHcuUKVMoXbo0wD7fvte7d28++ugjvvjiC2rWrLnL/atWrcry5ctzjS1fvjxn9lZ+sZSSJEmSJEkK2Ntvv80999zDJ598Qv369XPGq1evvle374XDYa699lreffddJk6cuMMF1P+/1q1bM2HCBG644YacsfHjx9O6deu9/jr2hqWUJEmSJElSgGbNmkWPHj3o27cvhx56aM5aTgkJCVSoUGGvbt/r1asXI0aM4P3336d06dI5xypbtiwlSkSeGtijRw9q1KjBwIEDAbj++utp164djzzyCKeeeiojR47ku+++49lnn83jrzS3mN1vIkmSJEmSpPzy3XffkZaWxn333Ue1atVyPs4888y9PtbTTz/N+vXrOe6443Ida9SoUTnbLF68ONfT/o4++mhGjBjBs88+S9OmTXnrrbd47733drk4el5wppQkSZIkSVKALrroIi666KI8OVY4HN7tNhMnTtxu7JxzzuGcc87Jkwx7yplSkiRJkiRJijpLKUmSJEmSJEWdpZQkSZIkSZKizlJKkiRJkiQVKXuyrpL2T158jy2lJEmSJElSkRAfHw9AWlpawEmKvm3f423f833h0/ckSZIkSVKREBsbS7ly5VixYgUAycnJhEKhgFMVLeFwmLS0NFasWEG5cuWIjY3d52NZSkmSJEmSpCKjatWqADnFlPJHuXLlcr7X+8pSSpIkSZIkFRmhUIhq1apRpUoVMjIygo5TJMXHx+/XDKltilQpNWTIEB566CGWLVtG06ZNeeKJJ2jZsuVOtx80aBBPP/00ixcvplKlSpx99tkMHDiQpKSkKKaWJEmSJEl5LTY2Nk+KE+WfIrPQ+ahRo+jTpw8DBgzghx9+oGnTpnTs2HGn0/VGjBhBv379GDBgAD///DMvvPACo0aN4tZbb41yckmSJEmSpOKnyMyUevTRR7n88su5+OKLARg6dCijR4/mxRdfpF+/ftttP2nSJNq0aUO3bt0AqFOnDueffz7ffvvtTs+Rnp5Oenp6zusNGzYAkJGR4ZTAKNn2ffb7LRUPXvNS8eI1LxUvXvNS0bWn13WRKKW2bt3K999/T//+/XPGYmJi6NChA5MnT97hPkcffTSvvvoqU6ZMoWXLlsyfP5+PP/6YCy+8cKfnGThwIHffffd24+PGjSM5OXn/vxDtsfHjxwcdQVIUec1LxYvXvFS8eM1LRU9aWtoebVckSqlVq1aRlZVFSkpKrvGUlBTmzJmzw326devGqlWrOOaYYwiHw2RmZnLVVVft8va9/v3706dPn5zXGzZsoFatWpx00kmUKVMmb74Y7VJGRgbjx4/nxBNPJD4+Pug4kvKZ17xUvHjNS8WL17xUdG27s2x3ikQptS8mTpzIAw88wFNPPUWrVq2YO3cu119/Pffeey933HHHDvdJTEwkMTFxu/H4+Hj/EI0yv+dS8eI1LxUvXvNS8eI1LxU9e3pNF4lSqlKlSsTGxrJ8+fJc48uXL6dq1ao73OeOO+7gwgsv5LLLLgOgcePGpKamcsUVV3DbbbcRE1Nk1oCXJEmSJEkqcIpE85KQkECLFi2YMGFCzlh2djYTJkygdevWO9wnLS1tu+Jp26Miw+Fw/oWVJEmSJElS0ZgpBdCnTx969uzJEUccQcuWLRk0aBCpqak5T+Pr0aMHNWrUYODAgQCcdtppPProozRv3jzn9r077riD0047LaeckiRJkiRJUv4oMqVU165dWblyJXfeeSfLli2jWbNmjBkzJmfx88WLF+eaGXX77bcTCoW4/fbb+f3336lcuTKnnXYa999/f1BfgiRJkiRJUrFRZEopgN69e9O7d+8dvjdx4sRcr+Pi4hgwYAADBgyIQjJJkiRJkiT9U5FYU0qSJEmSJEmFi6WUJEmSJEmSos5SSpIkSZIkSVFnKSVJkiRJkqSos5SSJEmSJElS1FlKSZIkSZIkKeospSRJkiRJkhR1llKSJEmSJEmKOkspSZIkSZIkRZ2llCRJkiRJkqLOUkqSJEmSJElRZyklSZIkSZKkqLOUkiRJkiRJUtRZSkmSJEmSJCnqLKUkSZIkSZIUdZZSkiRJkiRJijpLKUmSJEmSJEWdpZQkSZIkSZKizlJKkiRJkiRJUWcpJUmSJEmSpKizlJIkSZIkSVLUWUpJkiRJkiQp6iylJEmSJEmSFHWWUsrx7bdQrRqMGBF0EkmSJEmSVNRZSinHoEGwbBl07w4ZGUGnkSRJkiRJRZmllHLUrfv351lZweWQJEmSJElFn6WUcsTFRX7t1QuSkoLNIkmSJEmSijZLKeXYNjsqNjbYHJIkSZIkqeizlFKObaVUVlZksfP77gs2jyRJkiRJKrrigg6ggiM7O/Lr7NkwZAjEx8Mll0D16sHmkiRJkiRJRY8zpZTjvvNmkdH8SD6+bgxt2kSewPf000GnkiRJkiRJRZGllHIkDHmMuGnfkdSlEzf0zgTgmWdgy5aAg0mSJEmSpCLHUkp/q1w559MumW9SqxasXAmvvx5gJkmSJEmSVCRZSinH2NhTyIyJByD24f/Qu1cYgMGDIRwOMpkkSZIkSSpqLKWU451VbakUO5/0hFIwYwZX1xtLiRIwYwZ88UXQ6SRJkiRJUlFiKaUcC+M/Yf2tB3DtuU0gFKL07G/p2RPatYM4n9MoSZIkSZLykFWDciyNHw6hMM81mMSd30+kZvN2PJFpISVJkiRJkvKeM6WUo/nSxTmf37XkFcBCSpIkSZIk5Q9LKeUI/WM182HThzF75WxYsAAWL2bFCnjoIUhPDzCgJEmSJEkqMiyllOOCH48gfBe0W30wsaFYvhl2Lxx4IOEBd9G6NdxyC7z1VtApJUmSJElSUWAppRyh7CwArl98MnN6z+GSttdDVhah117l2i5LARgyJMiEkiRJkiSpqLCUUo52bTIBOKVJJeqVrwdHHRV59F5GBpenDiI+HiZPhh9+CDioJEmSJEkq9CyllOOlsrM54zx4K2FmztgPvc5kUi0oOeI5LjxjA+BsKUmSJEmStP8spZTjx7jVfNAQ5oRWAfD6zNdpMft6Lj87gayNG7i92gsAjBgBq1cHmVSSJEmSJBV2llLKsTD2AADWJNYCoNOBnSifVJ7ZZbfyclOo88FgWjTNZMsWGDYsyKSSJEmSJKmws5RSjhmpdQBYFl8fgHJJ5bj12FsBuOf4GDLWrebWM34iMRHWrg0qpSRJkiRJKgospZQjOxx5+l5cTFzO2DVHXkPVUlVZWCab4R/dR6d+TVm6FO6/P6iUkiRJkiSpKLCUUo74rI1//ZqRM5Ycn0z/Y/oDcN/UR4iJT6dSpUDiSZIkSZKkIsRSSjkO3jgZgEqLfsw1fkWLK6heujpLNizhhR+eh1mzAJg5E5Yti3pMSZIkSZJUBFhKKUd2KBuA2H/cvgeQFJfEbcfeRkrJKpR84GFo0oR7es6jSRMYMiSIpJIkSZIkqbCzlFKOAZ80Yes90HVrh+3eu+zwy5h//QJ6pjeEcJjzVwwG4IUXICNju80lSZIkSZJ2yVJKOeKys4nPhrjYhO3eS4hNIDk+GW66CYAGX77IgZXW8uef8NFH0U4qSZIkSZIKO0sp5WjWJPL0vUaNY3e6Tfbx7RnV6QBeq5/K4EOfBeCZZ6IST5IkSZIkFSGWUsrxeN0FdDsLvgn9stNt3pz9Fue1WkyfjnD0/CeIJZNx42DBgigGlSRJkiRJhZ6llHJ8XnYtrzeGhVmrd7rNmYecSf1y9VhZEp454HcGNH2fcBieey6KQSVJkiRJUqFnKaUcqxKqALA+odpOt4mPjeeOdncC8Ehr6FruDQA+/hjC4fzPKEmSJEmSigZLKeWYvbkGAKtK1Nvldt0ad6NOqVqsKAUf3380b70FU6ZAKBSNlJIkSZIkqSiwlFKOMJGFzuNj43a5XXxsPLe07Q/AI1Me5rTOW0nY/oF9kiRJkiRJO2UppRyx4S0AxO/BfXgXN7+YaqWqsXTDUl75/kVITSUrC1JT8zulJEmSJEkqCiyllKNB5kwASi/6ebfbJsUlcVPrmzgqvh71ruzPzMsfp359uPvu/E4pSZIkSZKKAksp5cgORWZIxe7m9r1tbjjqBiZVv4P209fRYNxTLF2UybBhkJ6enyklSZIkSVJRYCmlHC+/Wou1D0Lbkkft0faxMbGEzjsPKlemxOqlXFrhPVatgnffzeegkiRJkiSp0LOUUo5SW8OU2wKJ8Ul7vlNSEmuv7ME97aDNwZF794YOzaeAkiRJkiSpyLCUUo5a1SNP36tVJ3av9nvkiAwGtIchh86iWWga//sfzJmTHwklSZIkSVJRYSmlHHcfsYrLT4OF2Uv3ar9rT7iVpOxYptSE84+8FYBnn82PhJIkSZIkqaiwlFKOt2qn8XwLWJG5fq/2SymVwuW1uwAw9pBxlGIjw4fDli35EFKSJEmSJBUJllLKkZpQEoDN8RX2et+bujxELDF8Vjeb02/6jY8+gsTEvE4oSZIkSZKKCksp5fgjoxwAqaVq7PW+tcvXoWvj8wAIt36Yo4+GUCgv00mSJEmSpKKkSJVSQ4YMoU6dOiQlJdGqVSumTJmyy+3XrVtHr169qFatGomJiRx00EF8/PHHUUpb8IRDkYXO4+P2bqHzbW4++mYA3vjpDRatXZhXsSRJkiRJUhEUF3SAvDJq1Cj69OnD0KFDadWqFYMGDaJjx4788ssvVKlSZbvtt27dyoknnkiVKlV46623qFGjBosWLaJcuXLRD19AhEKZhIGEmH3rKptVbcYp1dtRec4SNlx8HVdX+4B69eDmm/M2pyRJkiRJKvyKTCn16KOPcvnll3PxxRcDMHToUEaPHs2LL75Iv379ttv+xRdfZM2aNUyaNIn4+HgA6tSps8tzpKenk56envN6w4YNAGRkZJCRkZFHX0lwKoWWsxKI+2MJGY0a79Mx3jnyMRKvOJzs0EI+DC8lplYNrr02k9h9m3y1nW3f56Lw/Za0e17zUvHiNS8VL17zUtG1p9d1kSiltm7dyvfff0///v1zxmJiYujQoQOTJ0/e4T4ffPABrVu3plevXrz//vtUrlyZbt260bdvX2J30qAMHDiQu+++e7vxcePGkZycnDdfTEDCYciOCQMwc9ZMNm7d92O1OfRQKv30E73jn6b/kvt58MGpNG++Mo+SRowfPz5PjyepYPOal4oXr3mpePGal4qetLS0PdquSJRSq1atIisri5SUlFzjKSkpzJkzZ4f7zJ8/n88++4zu3bvz8ccfM3fuXK655hoyMjIYMGDADvfp378/ffr0yXm9YcMGatWqxUknnUSZMmXy7gsKQGYmTLsgnpiYDEITzqZys/r7fKxQaiozb+zO/KMGETe6H7NmHcVtt2XlSc6MjAzGjx/PiSeemDPDTVLR5TUvFS9e81Lx4jUvFV3b7izbnSJRSu2L7OxsqlSpwrPPPktsbCwtWrTg999/56GHHtppKZWYmEhiYuJ24/Hx8YX+D9HsbKiWmk0csKFU6f36erLO7MKpP8SwpHQaRyy5mQ8+GMr69TFUqpR3eYvC91zSnvOal4oXr3mpePGal4qePb2mi8TT9ypVqkRsbCzLly/PNb58+XKqVq26w32qVavGQQcdlOtWvUMOOYRly5axdet+3LtWSMXHQxyR2UzJpfdvAajYpBJcX/J4AFYd8woZmdm89tp+R5QkSZIkSUVIkSilEhISaNGiBRMmTMgZy87OZsKECbRu3XqH+7Rp04a5c+eSnZ2dM/brr79SrVo1EhIS8j1zQRNDNjd2hOtPhk1s2u/jXd7zccpsgYUV06h54NO88EJk3SpJkiRJkiQoIqUUQJ8+fXjuued46aWX+Pnnn7n66qtJTU3NeRpfjx49ci2EfvXVV7NmzRquv/56fv31V0aPHs0DDzxAr169gvoSgpWVxROt4PGjIC07fffb70aZeodwVfhwANYd/zqnnw4+VEOSJEmSJG1TZNaU6tq1KytXruTOO+9k2bJlNGvWjDFjxuQsfr548WJiYv7u4GrVqsXYsWO58cYbadKkCTVq1OD666+nb9++QX0JgUpLC5P117cnlJg3TxK89tb3eWRQHTZV/Zqzr5xOQkKzPDmuJEmSJEkq/IpMKQXQu3dvevfuvcP3Jk6cuN1Y69at+eabb/I5VeGwYcvf60jFl8qbJwnWLFOTcw49h5GzRjL428EMO2NYnhxXkiRJkiQVfkXm9j3tn62ZWTmfx8Xu30Ln/3R986upGluOhl/9yocfwuef59mhJUmSJElSIVakZkpp323NyMz5PDYPu8qjkg9i8b0bid86icYPz6RC28a0b59nh5ckSZIkSYWUM6UEQNaqFTmfxxLKuwNXrUr8aZ0BuJJn+eIL+O23vDu8JEmSJEkqnCylBEDG1r8fjRcbG5+3B7/ySrJCULHRiyTU+5BhLi0lSZIkSVKxZyklAEqEk5g7GGY/ESIhLjFvD37CCTzZqQLdzk2jVIdrGTY8TGbm7neTJEmSJElFl6WUAAhlQv21UH91HKFQHt6+BxATQ/c2V5OUAWuqL2JZ/NeMGZO3p5AkSZIkSYWLpZQAqJaSDUBsQt49ee+fKl3SmwtnRsquMkfdzYsv5stpJEmSJElSIWEpJQDSWUvfDnD3cVn5c4KqVbmudAcANjT8jLmrFpGVT6eSJEmSJEkFn6WUAFi/ZR3/PQYeapmx+4330WEvfkSHeh0gJpuOtz9JbP5MypIkSZIkSYVA4KXUl19+yQUXXEDr1q35/fffAXjllVf46quvAk5WvKzanABADHH5d5KEBK5vdT0AL0x7gbSMtPw7lyRJkiRJKtACLaXefvttOnbsSIkSJZg2bRrp6ekArF+/ngceeCDIaMXOwvTKAGzOTs7X83Rq0Ik6pWtRP1yOX5f9zurV+Xo6SZIkSZJUQAVaSt13330MHTqU5557jvj4+JzxNm3a8MMPPwSYrPjJyMoEIJSdjzOlgNhNqUy5fyVT+y/g4oOy+O9/8/V0kiRJkiSpgAq0lPrll19o27btduNly5Zl3bp10Q9UjGVuW3U8nM8LPZUpQ+U2JwJw/pYXefVVXPBckiRJkqRiKNBSqmrVqsydO3e78a+++op69eoFkKj4ip/7IwAVs9bk/8kuuQSALknDWJb8EZ9+mv+nlCRJkiRJBUugpdTll1/O9ddfz7fffksoFOKPP/7gtdde49///jdXX311kNGKncyMyFP3YrOjcLJTT2VJvUo067MKzuvCM6+uiMJJJUmSJElSQZK/CwjtRr9+/cjOzuaEE04gLS2Ntm3bkpiYyL///W+uvfbaIKMVO7XDtfjxKVgeVx0eyeeTxcdT66yLOXTlQ0ytkcmHS19g/fr+lC2bz+eVJEmSJEkFRqAzpUKhELfddhtr1qxh1qxZfPPNN6xcuZJ77703yFjFUmJWHI1XQINVJaJzwksuofeUyKfZzZ9k5BuZ0TmvJEmSJEkqEAItpdavX8+aNWtISEigUaNGtGzZklKlSrFmzRo2bNgQZLRi58B6kdXGK1fL54XOt2nYkHNLH0WlVMgu+weDP/koOueVJEmSJEkFQqCl1HnnncfIkSO3G3/jjTc477zzAkhUfK2L/5172sGrTdZH7ZxJQ5/nvOaR2zQrdhoStfNKkiRJkqTgBVpKffvtt7Rv33678eOOO45vv/02gETF1/y03xnQHp44MApP39vm0EO5qVMfQoT46o9PmbNqTvTOLUmSJEmSAhVoKZWenk5m5vZrCWVkZLB58+YAEhVfK7aWBCA7Ljmq561Trg6nHXwasaFYvlr8VVTPLUmSJEmSghNoKdWyZUueffbZ7caHDh1KixYtAkhUfM3MrA/A4sza0T3x6tU8/MIS5j+RwCd9z+WLL6J7ekmSJEmSFIy4IE9+33330aFDB2bMmMEJJ5wAwIQJE5g6dSrjxo0LMlqxk5kVWeg8higtdL5NhQocuHQzrNpM+U/fYHity2jbNroRJEmSJElS9AU6U6pNmzZMnjyZWrVq8cYbb/Dhhx/SoEEDfvzxR4499tggoxU7mdmRUioU7Z4yFIJLLgHgUl5g1JglpKZGN4IkSZIkSYq+QGdKATRr1ozXXnst6BjFXrlfJ0EpqLPpl+ifvEcPsvr34/6u35B20AEMGjmd2y5tGv0ckiRJkiQpagIvpbKzs5k7dy4rVqwgOzs713ttvY8rarIytwAQF87ezZb5ICWF2H+dRnLG+wAMnfoMt136VPRzSJIkSZKkqAm0lPrmm2/o1q0bixYtIhwO53ovFAqR9dc6R8p/h6c1ZPJbsDi5UTABLr2UK69/nzcPhaUVXuWXBf/l4LqlgskiSZIkSZLyXaBrSl111VUcccQRzJo1izVr1rB27dqcjzVr1gQZrdgpszWZo5ZC/bVlgwnQqRPtN6fQYDWQuJHbRr4eTA5JkiRJkhQVgc6U+u2333jrrbdo0KBBkDEENDo4MiutTv0oP31vm7g4YgY+yPE/fspcXmNazDPA5cFkkSRJkiRJ+S7QmVKtWrVi7ty5QUbQX5aXWcQjreHrA1cGF+Kii7jv3kEkxCYwf8v3fPfHd8FlkSRJkiRJ+SrQmVLXXnstN910E8uWLaNx48bEx8fner9JkyYBJSt+vtkyj393hNPXL+b0AHNULlmJsw45i9dnvc6wacM4ovoRAaaRJEmSJEn5JdBS6qyzzgLgkksuyRkLhUKEw2EXOo+y1dklAciIKxNskHXruOnnchw/rxlbq/2XrCyIDeiOQkmSJEmSlH8CLaUWLFgQ5On1D1MyI7PSfsoOeHZaKMTh9w+jxZYtHPHKzxxy4BG0bx9sJEmSJEmSlPcCLaVq164d5On1D1nZmQDEhAKellS2LKEuXeD11+nJS7zyagvatw8Fm0mSJEmSJOW5QBc6B3jllVdo06YN1atXZ9GiRQAMGjSI999/P+BkxUtmduRWycBLKYAePQBIO3IYLycfyqQFPwQcSJIkSZIk5bVAS6mnn36aPn36cMopp7Bu3bqcNaTKlSvHoEGDgoxW7FRb+CUA9VZNDzYIwIknEq5WjWm1U8mq9DN3f/hC0IkkSZIkSVIeC7SUeuKJJ3juuee47bbbiP3HatZHHHEEM2fODDBZ8RPKTAMgISsj4CRAbCyhCy7g0r8mSH228jU2Z2wONpMkSZIkScpTgZZSCxYsoHnz5tuNJyYmkpqaGkCi4uv4ZYfx6Utw3q9Ng44S0bMnJyyA2usgM249L019J+hEkiRJkiQpDwVaStWtW5fp06dvNz5mzBgOOeSQ6AcqxlLSSnPCAqiTWjnoKBGHHkpM23a0+TlSkj39jbfwSZIkSZJUlAT69L0+ffrQq1cvtmzZQjgcZsqUKbz++usMHDiQ559/Pshoxc4hB2XBl9DgoAKw0Pk2n39O90lLeP3TOvy48XPmrZnHAaUPCDqVJEmSJEnKA4GWUpdddhklSpTg9ttvJy0tjW7dulG9enUGDx7MeeedF2S0YmdxymLePwKa1l5BtaDDbBMKcUqbAzhpwUmMnTeWF6e9yF1t7wo6lSRJkiRJygOBlVKZmZmMGDGCjh070r17d9LS0ti0aRNVqlQJKlKx9m7oF/7zL7gxfS6tgw7z/1xVsSNlVm+iXc2OQUeRJEmSJEl5JLBSKi4ujquuuoqff/4ZgOTkZJKTk4OKU+xtoAQA6TGlA07y/4wfT+dT+nBsQlXaPX00P/wYDjqRJEmSJEnKA4EudN6yZUumTZsWZAT9ZXJW5CmI02KOCjjJ/9OuHdkVKlJx6zJq/TKeH34IBZ1IkiRJkiTlgUDXlLrmmmu46aabWLp0KS1atKBkyZK53m/SpElAyYqfrOxMAGJCBWihc4CEBGK6d4MnnqBDxSfp9d4ErjuicdCpJEmSJEnSfgq0lNq2mPl1112XMxYKhQiHw4RCIbKysoKKVuxkhyPf69iYAlZKAfTsCU88wagun/BDiY/5bPVFdKNb0KkkSZIkSdJ+CLSUWrBgQZCn1z/UWvENP9WFWr9/H3SU7R1+OOFGh3L5Dz8xtSZ8/OfnhMOuLSVJkiRJUmEWaClVu3btIE+vf4jNSgUgKXNrwEl2IBQidFFPut5xC9edHMOqhEVMXjqZdvXaBZ1MkiRJkiTto0AXOgd45ZVXaNOmDdWrV2fRokUADBo0iPfffz/gZMXLWXMa8v7rcNzaArqOV/fulM6I4YyfEgB47vthAQeSJEmSJEn7I9BS6umnn6ZPnz6ccsoprFu3LmcNqXLlyjFo0KAgoxU7B64py+m/QK2MqkFH2bHq1eGrr9lQaTQA7/32FhvTNwYcSpIkSZIk7atAS6knnniC5557jttuu43Y2L8X2D7iiCOYOXNmgMmKn/q1I0/fq39QAVzo/C+h1kfx3lPHUCOxBqkZqYz6aVTQkSRJkiRJ0j4KtJRasGABzZs33248MTGR1NTUABIVX7/W+ZNXmkBqzVVBR9mlUChEh/InUD6xHGkZaUHHkSRJkiRJ+yjQUqpu3bpMnz59u/ExY8ZwyCGHRD9QMfZkuV/pcSZ8mj036Ci7FHrrLf5zx2hGf3A2dZZfF3QcSZIkSZK0jwJ9+l6fPn3o1asXW7ZsIRwOM2XKFF5//XUGDhzI888/H2S0YmdzTCIA6ZQMOMlulCtHysrVxK18h7sHDeH00xOCTiRJkiRJkvZBoKXUZZddRokSJbj99ttJS0ujW7duVK9encGDB3PeeecFGa3Y+T7rMGA+0+KODjrKLoXbtyetTAUqblhD4sRPeG9aRf7V9CjiYgL9rSxJkiRJkvZS1G/f++CDD8jIyMh53b17d3777Tc2bdrEsmXLWLp0KZdeemm0YxV72USefFjgy53YWP447hjCwOxLL6HLB8cyft74oFNJkiRJkqS9FPVSqkuXLqxbtw6A2NhYVqxYAUBycjJVqlSJdhz9JZvI0/fiYgru0/e2WXrccYSAE39fD8BLM14KNpAkSZIkSdprUS+lKleuzDfffANAOBwmFApFO4J2oGbqLAAqL50ZcJLdW1+3LhkHHsJl0yOzu979+T3Wbl4bcCpJkiRJkrQ3ol5KXXXVVZxxxhnExsYSCoWoWrUqsbGxO/xQ9MRlpwKQmLEl4CR7IBQipkc3mv8JdZaXZGt2Om/89EbQqSRJkiRJ0l6I+gJCd911F+eddx5z587l9NNPZ9iwYZQrVy7aMfT/XPHNAfT5dh0JHRoGHWWPZJ93Hr9+9icxM2Mg5UlemvESVx5xZdCxJEmSJEnSHop6KfXBBx/QqVMnGjZsyIABAzjnnHNITk6Odgz9P62WlKHJBph0UtWgo+yZ2rWp/dEQxm5YRsNnn2by0sn8suoXDq50cNDJJEmSJEnSHgh0ofN77rmHTZs2RTuCdqBaSmR9pgPqFp7bJpOToUHVqnRs0BGAd35+J+BEkiRJkiRpT7nQuQCY0WAN7xwC8dU3BB1l70yaxIDJiYw8cBi3tOkbdBpJkiRJkrSHXOhcANzScDFndYVp6QuDjrJXwg8/TMsn32Vh95+Z8m3UfztLkiRJkqR95ELnAiAjJlICZoRLBJxk74QuuADefZfuvMZDIwbS6iiICVlOSZIkSZJU0EW9lAJo2LChC50XMHPDtYGf+Dm+BacFHWZvnHIKGSXLUTH9dz5aehbvDvqeWdfMokximaCTSZIkSZKkXQh0SsmAAQMspAqIMJGFzuMK222TSUnEnncOSZmQVvNzlmxYwluz3wo6lSRJkiRJ2o2ol1KHH344a9euBaB58+YcfvjhO/3YW0OGDKFOnTokJSXRqlUrpkyZskf7jRw5klAoROfOnff6nEVFdigTgPiYQCbP7ZeYHhcQAq6cvgWA4dOHB5pHkiRJkiTtXtQbiDPOOIPExESAPC2BRo0aRZ8+fRg6dCitWrVi0KBBdOzYkV9++YUqVarsdL+FCxfy73//m2OPPTbPshRGFbP+ZBlQatkCoE3QcfbOMcewJeUALvtxMXefEOLLxV8yb8086leoH3QySZIkSZK0E1EvpQYMGLDDz/fXo48+yuWXX87FF18MwNChQxk9ejQvvvgi/fr12+E+WVlZdO/enbvvvpsvv/ySdevW5VmewiY2FJlllJC5NeAk+yAmhsSLuxN+aARV55VhWYOZvDzjZe5uf3fQySRJkiRJ0k4Eeq9WOBzm+++/Z+HChYRCIerWrUvz5s0JhUJ7dZytW7fy/fff079//5yxmJgYOnTowOTJk3e63z333EOVKlW49NJL+fLLL3d7nvT0dNLT03Neb9iwAYCMjAwyMjL2KnNBc/un5YiLX021y6sW6K9lW7btMvbry+cH38V5WW8waOmFvDzjZW5tc6tP4pMKuZ1e85KKJK95qXjxmpeKrj29rgMrpT7//HMuvfRSFi1aRDgcBsgppl588UXatm27x8datWoVWVlZpKSk5BpPSUlhzpw5O9znq6++4oUXXmD69Ol7fJ6BAwdy993bz74ZN25coV+w/fSfEqmeDS/9/Dsff/xx0HF2a/z48duNlS0PrbMTePaPZBauX8jDbz7MYaUOCyCdpLy2o2teUtHlNS8VL17zUtGTlpa2R9sFUkrNnTuXf/3rX7Rq1YrHHnuMhg0bEg6HmT17No8//jinnHIKP/74I/Xq1cuX82/cuJELL7yQ5557jkqVKu3xfv3796dPnz45rzds2ECtWrU46aSTKFOmTH5EjZr0ktmwETp0bE6VE5sGHWenMjIyGD9+PCeeeCLx8fE72oBp688ko1oK5x5+LnXK1Yl6Rkl5Z7fXvKQixWteKl685qWia9udZbsTSCk1aNAgjjrqKCZMmJBrvGHDhnTp0oUOHTrw2GOP8cQTT+zR8SpVqkRsbCzLly/PNb58+XKqVq263fbz5s1j4cKFnHbaaTlj2dnZAMTFxfHLL79Qv/72i2QnJibmLNL+T/Hx8YX+D9GJDTaTvQGOqZ5dKL6WHX7PN2wgq2597l+zmnsvX8KBHWsEE05SnisKf85K2nNe81Lx4jUvFT17ek0HsuDOxIkTueGGG3b4XigU4oYbbuDzzz/f4+MlJCTQokWLXCVXdnY2EyZMoHXr1ttt37BhQ2bOnMn06dNzPk4//XTat2/P9OnTqVWr1l5/TYXd2Sdv4OQL4Y+tq4OOsu/KlGHzAQcTQ5i0YaPYuDHoQJIkSZIkaWcCmSm1ePFiGjduvNP3DzvsMBYtWrRXx+zTpw89e/bkiCOOoGXLlgwaNIjU1NScp/H16NGDGjVqMHDgQJKSkjjssNxrDZUrVy7n3MVR5l/1ZFY4Idgg+6nkZd2g99d0yX6Ne18/hMqHzuLmNjcHHUuSJEmSJP0/gZRSmzZt2uXC4MnJyXu8KNY2Xbt2ZeXKldx5550sW7aMZs2aMWbMmJzFzxcvXkxMjE9i25m0UAKQzh/xDWgYdJj9EDr3HLKuvY4K5X/goT9PIXZZLD2b9aRKySpBR5MkSZIkSf8Q2NP3Zs+ezbJly3b43qpVq/bpmL1796Z37947fG/ixIm73Hf48OH7dM4iI5QFQHxcbMBB9lPlyqQd3YGDvh5Ljd9r8HuN3xk5ayTXtbou6GSSJEmSJOkfAiulTjjhBMLh8HbjoVCIcDhMKBQKIFUxFhMppRLjAvstkWdKX34+fD2WnjMyeKAGvPrjq5ZSkiRJkiQVMIE0EAsWLAjitNqJcDgMoUhBmLBxPbD9EwsLlS5dyLzsSm6YtYKBJ8cy9Y+p/LLqFw6udHDQySRJkiRJ0l8CKaVq164dxGm1E1nZmTmfx7P97LVCp0wZVg58gbPvbUKtrf1ZnDSaV398lXuPvzfoZJIkSZIk6S+u/C1C2WGe+BgGfQKlkkoHHSdPVPt3dyauasx/u18IwKszXyU7nB1wKkmSJEmStE3hX0BI+y0mG3pPiXy+ssTOn4pY2MTHw+kHn07phNIkxyezbNMyqpeuHnQsSZIkSZKEM6UEkJWV82ly6UL+9L1/mjaNpIsuY8Kv3fnfubMspCRJkiRJKkAspURmxhYm1oEvD4ASpYvQUw+XLyc0YgS1h7/NqNeydr+9JEmSJEmKmgJz+96qVav49ttvycrK4sgjj6RatWpBRyo21m9eS/uLIp9nxhShnvKEE0grVZkqm1Yy/7kJpF1zLKvTVlOrbK2gk0mSJEmSVOwViAbi7bffpkGDBtx9990MGDCA+vXrM2zYsKBjFRsZGRk5n4di4wNMksfi48k+8xwANjOQKg+lcN2Y6wIOJUmSJEmSIKBSatOmTble33333UyZMoUpU6Ywbdo03nzzTW677bYgohVL62NLRT7JjmVrOCHYMHms1OXnA9Bj5VRSMzYx+tfRrNm8JuBUkiRJkiQpkFKqRYsWvP/++zmv4+LiWLFiRc7r5cuXk5BQtMqRgiwj86/1lrJjiS1C65wDcPTRbCxfi6NWpFFlTR0ysjN446c3gk6lfBQOw8qVMH8+/PQTzJ0LmzcHnUqSJEmS9P8FUkqNHTuWZ599li5duvDHH38wePBgunbtStWqValUqRL9+vXjqaeeCiJasZSx7el74ViK0pJSAMTEEDr/PABOnloagFd/fDXIRMpHZ54JVapEPurXh8MOgwMPhORkqFYNtmwJOqEkSZIkaZtAKog6deowevRozj33XNq1a8f06dOZO3cu48eP59NPP2Xx4sWccsopQUQrljJWRmaplcjOKHqlFFDq8m7ML9mYxFldCBHD10u+Zv7a+UHH0n7auBHGjMk9tmIFrFoFoVCkiKpYMfIrQO3akJT097Z33gkjRsA/llSTJEmSJEVRoBXE+eefz9SpU5kxYwbHHXcc2dnZNGvWjKR//p+j8l3WxsgaX4nZmYRCAYfJD82a8fsnP3L++3dzQt0TAHjtx9cCDqV9lZYG99wTKZlOPx2WLCFyzx7w3//C1KmQ0fUCUmscxKoStdhU4yC2tj2Bz+pcAs8/D4sWsXQpPPAAdO8Ohx4K776bcwhJkiRJUpTEBXXijz/+mJ9//pmmTZvy/PPP87///Y/u3bvTqVMn7rnnHkqUKBFUtGKnbKgMD46H7Kyiu47XscdGfl0640I+XTCeV2e+yu1tbydUJFu4ouuDD+D662HhQoAw3Wp+SYnLnoF538KcORx99F9/pCXEwm+/ARAC4n/7jXiAUZGneib/vJw77qjCkCGRzc48E9q1g2HDoG7d6H9dkiRJklQcBTJT6qabbuLiiy9m6tSpXHnlldx77720a9eOH374gaSkJJo3b84nn3wSRLRiqRxl6Ps1XP1NES8CU1PpMiuTe1v145Pun1hIFSIbN8IFF8AZZ8DChWEuqfQBqxq05rWl7ag0bgTMmwdfffX3DnfeGXk9dSp8/jm8/DLcdhscfTQ0b06FhlUYMCCyCPqL3T6lctJG/vc/aNoUXnnFWVOSJEmSFA2BzJQaPnw448aNo0WLFqxZs4ajjjqKO+64g4SEBO69917OP/98rrzySjp16hREvGKnZFJkofP4xKL26L3ctnboRKlvvqR0w6eo93O9oONoD23dCq1bR56kd0jML7x3wLUctHA8rAISE6FnT7joImjV6u+d6tePfOxIZmbOp2XWL+Hid0/nwlJleKjmA9w692KuvjpEu3ZwwAH5+mVJkiRJUrEXyEypkiVLsmDBAgCWLFmy3RpSjRo14ssvvwwiWrEUl7yJqdVhQZ2iPT0k69QzADh8zghmzQo4jPZYQkKkd+qU8gOzYhpHCqmEBOjbFxYtgmeeibRWe7pKf9w/uvhly6BmTeJWLaf/3Ev55eAzePvpFRZSkiRJkhQFgZRSAwcOpEePHlSvXp127dpx7733BhFDf/lp7a+0vAL+9a/1QUfJVyUu6ko2IY7lKx4d9iKdR3bmswWfBR1LO7Fx49+f33QTjPi5OTH/OhVOOSUyberBByElZf9OcuSRMGtWZIX0hAQO+uVDOt7cBCZOBGD27EhvJUmSJEnKe4GUUt27d2fJkiW8//77LFy4kDPOOCOIGPpL+tYMAOKyi/gaSzVrsrJhZMXz2Yue4/1f3ueVH18JOJT+v3AY+vePLP+08YtpsHkzMTFQrnwIRo6Ejz6CBg3y7oQJCXDzzZH1pw49FJYvh5NOYukDL3HccdC+vcWUJEmSJOWHQEopgIoVK3LkkUdSrly5oCLoL/PjI2vvLMou+usslb3yfAAun7oagLdnv83mjM1BRtI/hMNw662RSVAHz3qLEh2Ohh49IDs7skFiIuTXAvVNmkSKqa5dISODUvNnkpQEc+ZYTEmSJElSfgislFLBkbntf/iDWfc+qpIuOJvMUBwXL/mNcpnV2Lh1Ix//9nHQsfSX226LFFK9eJK3OIe4jC2wZQukp0cnQIkSMGIEvPoq5Z75DxMnQq1akWLqlFNg06boxJAkSZKk4sBSSmzd9jSycNF++h4AlSqxoumJxISh0YwmAIyYNSLgUAJ49FEYOBCuZxBPcm1ksFcveO+9SFkULTEx0L07xMZSrx58PnYrV5V+jWnTwpx7bq6H90mSJEmS9oOllAj9Ph+AqpkrAk4SHeWe+S/H111A3QP/C8DoX0ezbsu6YEMVc6NGRRYzv4HHGMSNkcH+/eGJJyA2wLI0HKb+befx9MYLuCfuXj75JNKThYv2gyolSZIkKSospURofWR9pbJZGwJOEh3JLQ9jwrw6vPJwYw6tfCjpWem88/M7QccqttLToW9fuIhhPEafyODtt8P99+ff+lF7KhSCdu0AuCNzAD15ie+/9zY+SZIkScoLRX8RIe1WzXBV7pwIbKkQdJSoiXQdIbofej4fzP2IiiUqBh2p2EpMhM8/h7E31yI8thSha66Be+7Z60IqIyuD+Nj4nNc3jLmB1ZtXUyq+FPXK16N+hfq0qdWGlFIpexfw+uvhzz/hP//hxdjLyLyvFgmlj9+7Y0iSJEmStmMpJWpnV+NfE2F2YpWgo0TPwoVk976WXj/N57wJs6hbL+AZOcVc3bpw1VsdYP6MyIs9LKQWrVvE8OnD+eDXDzig7AG82/XdnPfenP0mf2z8Y7t9mlVtRpeGXbij7R2E9rT4euABWLSImJEjSTjvTPjuO2jQgKysYO8ulCRJkqTCzFJKlCudBUCZcsXo/64rViRzzKeUydrCS/dN59oXmwedqFgJhyNrM3Vu+Qcntd0C9epF3tj2625M/X0qD016iHd+foescOT376+rf2Vr1lYSYhMAuO3Y20jLSGPdlnUsWLeAn1b8xIzlM5i+bDpVSlbZ80IKIoufDxsGixfDpEmEzzqL+06ZzHezk3nvveDvMpQkSZKkwshSSpRJ2cDsylD64GL0WLHSpVne4lRqTXmbhHdHsebJOny+8DPOanRW0MmKheefhxef3kLPoWeSVfY3Yj98H445Zrf7Ld2wlH6f9uO1ma/ljJ1Q9wS6N+7OqQedmlNIAVxz5DXb7b9803LGzhtL/fL1c8ZWp63mgS8f4NZjb6Vi8i5u40xKgjfegMMPJ/zbXD59eDpfZB7Nc8/BFVfs4RcuSZIkScrhQudi9NopHNoLLm66MOgoUVWpd1cA2qS9To1Ha3L2m2fz6+pfA05V9P30E1x3bZinuZpW4W+JDYWhWrU92nfYtGG8NvM1QoS4sMmFzLhqBp/2+JSLm19MlZK7v/00pVQKPZr2oM0BbXLG7pp4F49+8ygNhzTko18/2vUBatSAd94h5rupnPGfowG48Ub41d82kiRJkrTXLKVERmZkhlRMuHjdg1TizFPYEpvMYVsXU29jUwBen/l6wKmKts2boWtXOD99GBcznHBMDIwaBfXr735n4Kajb+KcRucw9fKpvNzlZZqkNNnvTGceciaNqzRmVdoqTnv9NK775Dq2ZG7Z+Q5t2kCjRtxwAxx/PKSlwQUXQGYxmmgoScob89fOZ86qOUHHkCQpMJZSYnpcMwC+zzoy2CDRVrIky1ueBkDrL8oB8NrM1wiHwwGGKtpuvhnCP/3Ek/QGIHTffXDiiTvdfvKSyZz9xtlkZkcan+T4ZN445w1aVG+RZ5na123P1MuncuNRNwLwxJQnOOHlE1iVtmqX+8XEwOtXf8Hb8efxw9RMBg3Ks0iSpGIgHA5z0XsXcciQQ3b7d44kSUWVpZTI+OvX7FBioDmCUOWvW/j6/PAjSTEl+G3Nb3z/5/cBpyqaPv0UXhySxii6ksxmOOkk6Nt3p9u/PvN12r/Unrd/fptnvnsmX7MlxiXyaMdH+bjbx5RLKsekJZM4+oWjmbdm3s532riRKld05syMUfTjQe68E+btYnNJkv4pFArllFGTlkwKOI0kScGwlBKZ2ZGnl8WEi9+69yXO7MT0Kifx1NZ+HBT+FwAjZo4IOFXRNGEC9OU/HMZPULUqvPxyZLrRDvz36//S7Z1upGelc/rBp9OzWc+oZOx0YCe+vuRrapetTWpGKolxuyhqS5eGxx8H4K7Q3TTOnsH06VGJKUkqIo6uFVmf0FJKklRcWUqJxD9+AaDmloXBBglCUhKMHcsl3/fm3nMvBGDkrJFk/VXUKe8MHAit3u7L1quuhVdegZSU7bYJh8PcNfEu+n4amUH179b/5p1z36FUQqmo5WxUuRHfXPYNYy8YS80yNXe9cffucOaZxIUz+d9Bl3FWZ3/fSJL2TGZ2pqWUJKnYK35TY7Sd+HV/QlmotHV50FEC0axZ5NfDsjpSPqk8y1OXM2P5DA6vdniguYqik89MhjMf3+F74XCYWyfcyoNfPwjAwBMG0u+YftGMl6NqqapULVU15/W4eeOoU64OB1U8KPeGoRA88QRMmEDSzO8iM6duvDHKaSVJhVHrF1ozfdl0AKb+MZWtWVtJiE0INpQkSVHmTClx4Jaa3DQJjl5YLegowVm1ioQXhvNG84H83ud3C6k8kpYGvXvDqpdHQ9auZxH9tuY3HvvmMQAe6/hYYIXU/zdh/gROe/00Or3WiZWpK7ffoHp1+O9/I5/ffjvfjlrIY49FN6MkqXDZkrmF6cum5zzIY0vmFqb9OS3gVJIkRZ+llGiaWpeHx0HH3+oEHSUwab1vgSuvZO2FP5JSsurud9AeueceWDTkQyr1/BfhE0/cZTF1UMWDGHfhOIacMoQbjroheiF3o3FKY2qUrsH8tfM5Y+QZbMncsv1Gl10GbdtCWhrjznuBm2+GWbOin1WSVDjMWDaDzOxMKidX5l8HRda09BY+SVJxZCklKpaLFAUVKscGnCQ4oa7nAtB2xVvM+D7yU0vXldo/P/4Izzy0gae4BoDQkUdC7Pa/x7LD2Tmft63dlmuOvCZqGfdElZJVGN1tNOWSyjF56WQueu8iwuFw7o1iYuCZZ2DUKKZ3uYesLLj2Wvj/m0mSBJHb9QCOrHEkbWq1IUSIResXBZxKkqTos5QSletsZFFZqNa0+JYwJf51AhsSKpLCCt58aijHv3Q83d7pFnSsQischmuugXuyb6MWS6FePRgwYLvtpi+bTuOnGzNj2YwAUu65Qyofwrtd3yU+Jp5RP43i0cmPbr9Rw4Zw7rk8+liIpCSYOBHefz/qUSVJhUBOKVX9SK5scSVr+q5h0MmDgg0lSVIALKXEE1u+oM6N0C/lx6CjBCc+npXHnAlAqS8+4/OFn/P+nPfZkL4h4GCF02uvQebX39CLIZGBZ56B5ORc26xIXcEZI89g9srZ3PW/u6Ifci8dV+c4Bp88GIC+n/bly0Vf7nC72rXhtl7rOJ4J9O0LGRnRTClJKgy+++M7IFJKlS9RnnJJ5fLtXFd/dDXHvHgM6Znp+XYOSZL2laWUchbZjC3mvx2q39gVgMvnTaRuqYakZ6Xzzs/vBJyq8NmwAfr9O5OhXEUMYejZEzp0yLVNRlYGZ71xFovXL+bACgfy4ukvBpR271x1xFV0b9ydrHAWr818bccbzZvHrS8dxAecwYZf/+S556KbUZJUsG1M38jPK38G4IjqR+TruTKzMxn6/VC+XvI1ny34LF/PJUnSvijeLYQA+C4m8qS5/21tG3CSYJU4uR3rEqtQibU0m98SgBEzRwScqvB59FHovHwozZhBuHx5ePjh7bbp92k/vlr8FWUSy/DB+R9QvkT5AJLuvVAoxDP/eoZn//UsT5/69I43qluXmAb1KUkqdzOAu+6KFHWSJAFs2rqJC5pcwPF1jyelVAoAH/36EW2HtaXfp3n75Nk/Nv6R8/nqzavz9NiSJOUFSymxNSay+HRGbMmAkwQsLo6Vx55FJrHU/6QaABMWTGDZpmUBBytcbroJDr6wJesbtCB0//1QqVKu99+f8z6PfhNZk+mlzi/RsFLDIGLus5IJJbm8xeWEQqEdbxATk1PEXcoLPH/jT5QqFcWAkqQCrVrparzc5WUm9JiQMzZvzTy+XPwlC9YtyNNzLVr39+LpC9bm7bElScoLllLKecpcLMX36XvbVB9yGycd9ifJFz5Iy+qtyA5n88ZPbwQdq1ApXRqufbklZed8C1dckeu9BWsX0PO9ngDceNSNdG7YOYCEeWdD+gau+ugqfln1S+432rSBLl2IJZvTv+5LjH/SSpJ2oVJy5Ac4q9JW5elxj651NFe2uBKAeWvn5emxJUnKC/6vkii16jcAamz0HyslD6rBZzMrc/fd0K3x+QCMnDUy4FSFw8qVEM4O/z0QGxv5+IcS8SU4utbRHFXzKB7s8GCUE+a96z65jme+f4Ye7/XIWZstx4MPQlwcjB4Nn39OdnYwGSVJBUvq1tTIDwTnz4/8XfHll1RMrgjA6rS8vcUuNiaW0w8+nY71O9I0pWmeHluSpLxgKSWSNiwFoHLq0oCTFCznHtCJk+qfxBUtriAcDu9+h2IsOxtO7hhmSoWTWX3NHbBp0w63q1qqKqO7jWZM9zEkxCZEOWXeu+/4+yibWJYpv0/hiW+fyP3mQQfBlZGfTi+/tD8HHxTm998DCClJKlDOfetc4u+N55WP7of+/eHOO6mYEQfkz7pPpxx4CmMuGMONrW/M82NLkrS/LKVEk7U1uGoqHLy2etBRCoaVK8k6pi0VD2zJ04e/z0XNLtr5+kECYMQIqDPtHVqtH0eF4Y/AunW53t+Q/vdK36FQiLJJZaOcMH/ULFOTh0+KrB91++e3s3Ddwtwb3HEH4dKl+SG1Ib/P28x990U/oySpYFmdtpowYcrM++snFRMnUrrXbUDe37438MuB9Pu03/a3mUuSVEBYSokTljXg6dFw9LKDgo5SMFSsyNppC0lIW8+kO8cEnabAS0+He25L57/cAkDo5puhZs2c97dkbqH1C625+P2Lc5VTRcWlzS+lXe12pGWkcfXoq3PPqktJIbRoESXfHM5mknn+eVi4MLCokqQCYFvxVHH23wuPV5n6IxD5OzMtIy3PzjV8xnD+8/V/+GPjH6zfsp7NGZvz7NiSJOUFSylRvkxkofMKVVzoHICYGFYddw4A5caOYun633ls8mPMXTM34GAF07PPwmmLn6Q+88muWg1uvjnX+/f+715mr5zNJ799wtasrQGlzD+hUIhn/vUMCbEJjJk7hlE/jcq9QfnytG0LHTpAZiY89FAwOSVJBcO2W/QqzpqfM1Z+0xZKxSZTrVS1PPsBTnY4O+fpe5d9eBnl/lOOcfPG5cmxJUnKK5ZSovqBaaxKhsNaum7SNrX+3RWA4zZ9SLfXLqPPuD68MuOVgFMVPBs3wuC713Eb9wMQc/99UKpUzvvTl03nv5P+C8DTpz6d83ShoubgSgdz+7G3A3DP/+7Z4Rpk9184h0e5kWHPZ/Hnn9FOKEkqCDKzM1m3ZR0AFTdmsj6+EqM5hRCwodT9/HHTH1QtVTVPzrUidQXpWenEhGJyFjn3CXySpILGUkpcl/w/Kt8Cj8d9H3SUAqPkcUeyLLkupUil8XcNABj500gXPP9/Bg2CS1f/hwqsJXxII+jZM+e9zOxMLv3gUjKzMznrkLPockiX4IJGwc1tbuaWo29h4kUTt1+DbOtWjry5HTcyiNO3vsmjjwaTUZIUrLWb1+Z8XmEzfJ1xJF/TBoDM/03K03NtmyVVvXR1GlZqCMC8NZZSkqSCxVJKZIUjt+/Fxnj7Xo5QiDUnnAvACe8tJikuiV9X/8q0ZdMCDlZwhMMw4cM0rmIoAKGBD0Ds37+HBn0ziB/+/IFySeV48pQng4oZNUlxSfznxP9QpWSV7d9MSCDUuzcAt/IATz8VZkPRW15LkrQb29aTKpeVQFw2fMcRTCsRKaWyvvw68pdrHlm0PlJK1SlXh/rl6wPOlJIkFTyWUuLH2MYAfLalbcBJCpbat0Ru4eu0dhxtK3YC4PWZrwcZqUAJhWDC5GS+f3462XffA6efnvPekvVLGDBxAACPnPRInt2KUJh8u/Tb3AO9exMuXZomzOS7uz6iTJlgckmSgpMYl0jXQ7tyRJVzaMF3fFrrEqqediSZxPJ4wz84dmirPPu3xrYnwtYuW5v6FSylJEkFk6WU2BKKAyA9tmzASQqWkm2aMb72ZVzJM9RaG1n4fNRPo8gOZwecrOCIjYUOl9Ym5s47Ii3VX+avnU/phNIcc8AxXNzs4gATRl84HObMUWdy1AtH5V5Qtnx5QtdcA0DDt+/P05+GS5IKh3rl6zHy7JEcv/FVfqAF1Y+uw5Htknmey/i0bjO+WjGV39b8lifnWrx+MQC1f11B/bsfByJFVWZ2Zp4cX5KkvGApJbK33b4X8va9XEIhqo9+jjt+7cGTN3ehTGIZlmxYwqQlebvmQ2H07bewee7vO32/XZ12zOk9h1e6vLL9+kpFXCgUonbZ2gDcMv6W3CXmjTdCUlLkG/j552RkBBRSkhSoqVMjvx5xBHTtCifNG0qLnpFZ2dtu8dtfg04exKIbFtFr3AZqvPQuiaF4MrMzWbJ+SZ4cX5KkvGApJUpvivwkrfL6BQEnKXgOPRQOPDCyXlCXhl1IjE1k9srZQccK1Lp1cGWHecQdWIdNHc+C9PQdblcuqRx1ytWJaraC4va2t1M2sSwzls/gtR9f+/uNlBS47DIAfun5AAcfDJs3BxRSkhR1WzK3kDXiNc4ZdzknMo4jj4SKFaFePahcMvKE2tWbV+fJueJi4jig7AF8P/MQYsLQNbMxV7W4ipiQ//yXJBUc/q0kSqX9AUCldYsDTlJALVkCDz/MvdnHs/zfy7mixRVBJwrU44/DdZvuJ55MSsZshsTEnPee/f5ZRswcUeyfUlgxuSL9j+kPwG2f3caWzC1/v3nzzYSrVeODTe1ZuCCbF18MKKQkKeoGfD6A+F8vYOZRz3Min3L44X+9sXUrFdMin65Oy5tSCmDrS69z2qrhANz9VROe/tfT1C5XO8+OL0nS/rKUEkf8WYkLZ0D1jJSgoxRI6wYNg5tvZuFFIymTWLzX3dqwAd59eB49eBmA0F0Dct5btmkZN427ie7vdOejXz8KKmKBcV2r66hVphZLNizhiW+f+PuNAw4gtHgxJe+/jTAx/Oc/sHVrcDklSdGzevNqwiFIzoCzrqhI6dKR8VmPf0bFa27K2WZ/rd28lvPfPp+b5wxl24+Jkpa6yLkkqeCxlBLdf2rAy+9Ck9SDg45SIMV1jzyF76iN45n91Rog79Z7KGyeeAJ6b3yAOLIIdzwZWrXKee+2CbexaesmWtZoyakHnRpgyoKhRHwJ7m1/LwAPfv0gG9I3/P1mXBwXXxy5m2/JEnjzzYBCSpKialvhVCkN6rWslDM+Z2VFKv01Uyov/o2xYN0CRs4aycj4qWxb2THxz7ms27Ku2P4bRpJUMFlKidIlIwudl68cF3CSgqnU4QezoEwT4snkm8eGc8SzR9Dg8QakZ+54LaWiauNGePuh+fTkJSD3LKkf/vyBYdOHATCo4yDXq/jLBU0uoGGlhpRLKsf8tfNzvVciMZvBJ3zA7dzLY4/5MD5JKg62FUIV04gsJvWXpJqVqJgGCZmQEJuw3+dZtG4RAHXS4nPGPqz/J+X/U55ub3fb7+NLkpRX/D9HUav+VjbHwRGti9dT0vbGho7nAtBg7FiWbVrG+vT1fDL3k4BTRdeQIdBr/f1/z5I66qic924efzNhwnRr3I3WtVoHmLJgiY2JZXS30czpNYdmVZvlfnP2bLqOOIO7uIu138/jq68CiShJxUJWdlZOUROkbetFVdwMs5f/XUqVql2RBmtgy33wyyXT9vs8SzZEnrB3wNq/nwBbZkvk33nr09fv9/ElScorllLipAMnk3w7vLd1RtBRCqz6/SOlVJu0CXQodzoAI2eNDDJS1C2as5mTGAfkniX16fxP+WzBZyTEJvDA8Q8EFa/Aqle+HvGx8du/cdhh0LEjsWRzHY8zeHD0s0lScfHo5EepM7gOD096ONAc227fq5gGv639+/a9crVKk0lc5Fa71fu/ptS6LesAKL8q8ojXd6+fSPjl8bnekySpILCUEll/LYEZG+PteztTqvmBzCvbnDiyaDymPAAf/PIBm7ZuCjhZ9Dw9vATrvvmFrJFv5sySCofD9J8Qecrc1Udc7RN9diEjK4Nnv3+Wlakr/x688UYArkp4kcfv9SfXkpRfHvz6QSAys3fumrmBZAiHwzkzpSqlQXKtv2dKVawUYhWRkiq8av9LqW3rGJbbnEU2Iba2aE392pWBgltKff/H9zQd2pRjhx0bdBRJUhRZSomFsZEi4YvUVrvZsnjb0PFcNpNE3OeJ1C9fn82Zm/nwlw+DjhVVjVslE9v17JzXoVCIB094kPZ12nPrsbcGmKzgO+/t87jyoyt5/NvH/x486SRo1IjErZuo/vHzwYWTpCIsHA5T9h9Pz71m9DWEA1jILz0rnbMbnU2p34/j2M2zKFPv75lSFSvCaipybSdoM+FCpv4+db/Ota2UWpdZh284ilr1EyiXVA6A9VsK5g9BkuOT+XH5j8xYNiOQ/z6SpGBYSonNRGZIbYktF2yQAq7+w1dzRuuVZPa7k66Nzgfg9VmvB5wq/02bBssm/ATZ2Tt8/4R6J/BZz8+oUrJKlJMVLt0bdwfgiSlP/P0kvlAoZ7YUjz8OmZkueC5JeSwUCjHvunmMv3A8CbEJjJ8/PpBb8JPikhh59kh4/XMWZB5Kxcp//zM8ORlGxl3IR9VqMDl1FovXL96vc237e+b5LTfQhkn8Pnoa89v2BSLl2JbMLft1/LyWlZ1FnXJ1ANi4dSNrNq8JNpAkKWospUR2KBOAuNjYgJMUbGVqlWXcpFLcdBN0bxoppcbMHcPazWsDTpZ/wmG46aLVlO7Qkg21D4Ply3Pey8rOCjBZ4dO5YWcaVmrI+vT1PD316b/f6N4dKlWCxYu5/4h3efTR4DJKUlEVCoXoUK8Dtx97OwA3jbspkL/H0tNh0193/v/j4XsA9FvblyYdWgB/P6VvX714xotMOfcPwj9cREIC/DZlHW1njiTmr58vFbRb+B7/9nGaP9M85/X/f2KtJKnospQSJbdG/uFTdv0fAScpPBqll+HGo27k9bNeJzk+Oeg4+WbiRGjz41OUJI3k8klQJTIbanPGZho/3Zi7Jt5FWkZasCELiZhQDP2Piay/9eg3j7I5I7L4LCVKwNVXs7J2C/43oyyDB0NmZoBBJakIu6XNLXRp2IVrW17L1qytUT13RlYGaz/9hqFcydWhoZQtm/v9UqWgYnKkqdq2IPq+So5PJm1ZCqSXpVYtSG5cn5gwdP8xxOXNLyM2VLB+EPneL+/xy+pfcl4vWLcgwDSSpGgqUqXUkCFDqFOnDklJSbRq1YopU6bsdNvnnnuOY489lvLly1O+fHk6dOiwy+2LshKZkSnS5db+HnCSQiAtjcwmzck+oDbXlevLWY3OIvH/2DvL8CiuNgzfu3EPcUGCQ3CH4i6lWPFSoRRaKC0VvrbQUqAFSiltcXd3d3eH4BYgkABx92R3z/fjJJuEOAQCdO7rypVk5syZd2Z37Jn3fY6hSWFH9dKYOjGer5EeSIYjf5DlZsCs87O4FXKLRV6LUKveqtPIS6VP5T542HoQFBvEQq+FaTNGjcLq1nkuO7bBzw82biy8GBUUFBTeNposbkLXtV3xCffBxNCETb02MaLxCMyMzF5pHGuur8Htwjvs7TWPbkbbUD97+UxIwEFjDKA3RH8RSn3flSe40dd8M0413EnEmGVbBPOq/oyjheML919QhMSFcML3BACNi0uTcyVTSkFBQeG/w1vzNLl27Vq+++47Ro8ezaVLl6hWrRpt27YlKCgoy/ZHjhyhT58+HD58mNOnT1OsWDHatGnDkyf/PWGm0SNrut0EW1WRwg7l9cfcnAd+xqiFjhu/vd3KwfXr4LpvCY6EkFzUA7pLg/PIhEj+OPEHAGObjcXU0LQQo3yzMDIw4od3fgBg0slJaW/pjYwwNVMxZIj8999/CylABQUFhbeM0LhQjvseZ8vtLdiY2uS+wMuMJT4UgcBEA3XaO2Saf/rDmdj/OxeAkPgXK98bvm84v3ucRGftTxFXM0qVNcCHknLm/fsv1HdBs+PuDnRCR3WX6jTzaAaAT7iSKaWgoKDwX+GtEaX++ecfBg4cSP/+/fH09GTOnDmYm5uzaNGiLNuvXLmSIUOGUL16dSpUqMCCBQvQ6XQcPHjwFUde+Pxy2J2N66CkulRhh/JGENmuFwCOR9bxIPwBY4+MLRTD1JfN35O0DGcyAEY/fAeG0hD/n9P/EBofSgWHCnxY7cPCDPGNpH+N/rhYulDeoXwmz5AhH0TyP4N/eHrWl7NnCylABQUFhbeIs0/kybS8fXnszOz00x9HPWbr7a2vNJbU7Cf7eLApaZ9p/r0wexziMrZ9XhZ5LWJ+tVBijKHnDx6ULg33KY1OBcE3rr9Wpfdbbm8BoEv5LlR0qEglx0o4WzrnadlFXovouKojQbFZv4RWUFBQUHj9MSzsAAqCpKQkLl68yIgRI/TT1Go1rVq14vTp03nqIy4ujuTkZOzs7LJtk5iYSGJiov7/qCg5sklycjLJycnPGX3hY2osjT7NrXjttyM1vsKMs9QPnWHN99SOO8bI7Uv50+c3GhRtwPvl3y+0mAqaJ08gYdVmSvOAZGs7+PBDSE4mIiGCKWenADC68WiEVpCsfb2/M68bBhhw6bNLOJjLt+Tpv8sO3/RlknYXjvgzffqf1KypmMm/Dse8goLCq6Ogj/mTj04CUMetjr7PmKQYSkwpgU7oePjVQ9ys3ApkXbkRFCOFE4c40Nraont2G+1tsX8KxloVQojn3gdCCP3oe9aJ4FjbFWGWjJ9RKd7vBlvCv2GWlzGf1fjshbanoLgScAWApsWb0rBYQ7pXkJnZedn+AdsGANB9bXcOfvjfe7H8NqBc5xUU3l7yely/FaJUSEgIWq0WZ+eMb1WcnZ25fft2nvr48ccfcXNzo1WrVtm2+eOPPxg7dmym6fv27cPc/M01u25mEQahoOU8u3a9WtPP52X//v2Fun4Pi9pUi72A89xwVG1UnH58miVbluBk7FSocRUU584500HsAOB++9bcOXoUgHUB64hKjKK4aXFMHpiwy2dXYYb51uFcowb1d+1iIPPxWPMLq1qfwtb2zTgmXzaFfcwrKCi8WgrqmN91X16nLMIt2LUr7ZpVwrQEPvE+zNw+k4a2DQtkXblx/eF1AOzjYOfZWMSujNfQxwkx/HgHHkxy58LaQRnizQ+JukS0Qr7UMDGxZteRIwAEW7lhk/Ju9czlM7j5vxoxLjf8o/0BuH3hNpHXIp+rj+N+x5m/aT7upu4FGZrCK0S5zisovH3ExeUtK/etEKVelIkTJ7JmzRqOHDmCqWn2/jgjRozgu+++0/8fFRWl96KytrZ+FaG+FEqc7k6AKZyr6kSHDh0KO5wcSU5OZv/+/bRu3RojI6NCi+Nix3uw9gJNLnvR5LMmHPU9SohzCJ80+KTQYipIOnSAsK8W8HB7H0q/W43Sjo4ka5MZNH0QAOPajqNjpY6FHOWbT2BMIKtvrGZY3WGoVCpo1w6xbh223t5s67WC6l0HYfZqfXhfO16XY15BQeHVUJDHvE7o+PifjwH4tM2n1HCpoZ+312Avsy/OJsExgQ6tX829z5SVUyBClu+FG9Si7zP3XLrb3qi3g60m8oXuxwJiAuAqqATEGpWladMOWFhAyX2t+ffeY7g9C5eSLnRoVvj3fBqdhk6JnQiJC6Fnh55YmVgBMtsLkNfGbIhJioHLaf8f5CBrOrx9dgpvO8p1XkHh7SW1siw33gpRysHBAQMDAwIDAzNMDwwMxMXFJcdlJ0+ezMSJEzlw4ABVq1bNsa2JiQkmJplHWjMyMnqjT6JaBEIFJiamb8x2FPY+rzCqN6wdTq24E7QynchRjrLu1jpGNBmR+8JvCM4uwMD2+v+NjIw4NeAUCy4toG/VvhioX6/hpN80EjWJ1FhQg5C4EKq7Vqd16dZyxpdfwjff0OTqHLAaoh/x8L9OYR/zCgoKr5aCOOb9Iv2ITIzEUG1IDdfqGIWGQUpWfeMSjZl9cTann5x+ZeeWsAQ52rFDHIS6OGZar3Upec9qoY0GIcDY+LnWE6+Ll/0lwnl/DzpZGGFkBFVrGVE8ygFuQ3RS9GtxTjXCiHU912WY1mVNFw75HGJbn2164/OssDG04f7X99l3fx9Ddg5h0+1N3Ay9STWXai85aoWXgXKdV1B4+8jrMf1WGJ0bGxtTq1atDCblqablDRo0yHa5SZMm8fvvv7Nnzx5q1679KkJ9LYkylG+lLkZ5FnIkbw62ldxZUXo0XdmMXWQ/DNWGXA64zO2QvJWLvq7odHB5fzAiOibL+aXtSvNHqz8UQaoAMDE0oXel3gB6ny4APv4YzM3l8IfHjxdOcAoKCgpvAQmaBGq51qKGSw2Mps8EFxeYNg2AhsVlyZ6XvxexSbGvJJ4mxZvgHNGcAZF7SKxeL9N8mxK2aFDRpTc0WtSIsPiw51pPqp+USaIJD2xqkP6ZwNbUFoCIhIjn6vul4u8PjRsT/+ge0UnRuY7Ap1apKVWkFF/U/oJRTUaxqecmqjrn/IJZQUFBQeH1460QpQC+++475s+fz9KlS7l16xaDBw8mNjaW/v37A/DRRx9lMEL/888/GTVqFIsWLcLDw4OAgAACAgKIicn6YfxtJllmSJNoWLhDJb9p1No+hllPuzDkC3falG4D8MaPwrdvH5xt8wuxdkURy5brp7+qG/b/GsPqD0OFil3eu9IETVtb6NcPgHvfzGDIkMKLT0FBQeFNpqx9WS4MusC5gedgwgQ5cdgwePiQYtbFcLdyRyu0nHty7pXEM73DdEqeOcTjkLbYultkmm/vqGYWQ9ldyoiTgecJjw9/rvWkilJBiWXYXvVn/fTbB58Q+dtq4PURpZK1yWh1KYN6nDkDJ05Q6vgNAB6EP8hzP2Obj6Vrxa45lvspKCgoKLyevDWiVK9evZg8eTK//vor1atX5/Lly+zZs0dvfu7r64u/v7++/ezZs0lKSqJ79+64urrqfyZPnlxYm1BoCLUGACMDJfslP1SsCK6u8u8+lftgbWKNTugKN6gXZPHfYXzIciw1kag8SgCyzMxzlie9NvRShlwuYMrYleG98u8BMPXM1LQZX36JMDDgnJchc2bruHOnkAJUUFBQeBsQguQqaX5SfPklKtKypU76nXxloYSEyN/29pnnlSgBn0ZPw85OzoxOin6udTQu3phfzZ/Cyp0ULZo2/amfhqqPzgMQmfh8huLp0QkdG29u5FbwrefuY/nV5Rj9bkSfjX2gfHkASsZLqwyfiJwzpXZ572LkwZEceHDgudevoKCgoFD4vBWeUqkMHTqUoUOHZjnvSMrII6k8fPjw5Qf0hmBAIjrALDaisEN58/D2huXL6VqiBN2HB2JqmL1R/uuOtzcUP7AQc+JJrFANk8aNAVh6ZSm+kb5odBpsTJRsuoLm2/rfsu3ONpZeWcr4luOxM7ODqlVRPX3Kms+cENth1iyYOjX3vhQUFBQUskCl4odq+zhw+BpeqpoY7toFGzfyZZ0v6VqhK42LN37pIQghEAH+/Ow7lge4Y2//a6Y2ajVYWoKVsRUBBEgj72fw94f//U/+VMvGOsnIwAhiXCESihRJm27hZotdOPS4ARXfafbC2zTv4jwG7xwMQLeK3fij5R+Usy+Xrz6CYoMQCHn/5OEBQMkAOURgbqLU3nt7mXZuGjqho1WpVqy8uhK/KD8G1x6Mjalyv6KgoKDwpvDWZEopPD8qkgEwjwot5EjePAJX7Ifff8fn63lvtCAFMHu6hqHMAMDkh2GgUpGsTeaPE38A8MM7P2BimNnoX+HFaFqiKdWcqxGviWfexXlpM5yc+PJL+eeSJfAfrCxWUFBQeCF+PvgzZaaVYdb5WRw5AtepwgSRYuXw7bc0KdaI3pV7427t/tJjuR9+H8N5Rfll6Dw+Y0GWmVIAxMVhpZLX2ujEzJlS334LK1dC9eo5r+/9ld0IxIl3nm7QT7Nys6JqgIp162Fsla+ec0skQgjmXJij/3/TrU0kaZPy3U9qBrZTcDxxOw+TZGFLqZSqxdzK955EPwHA3Up+ft/v+54RB0fkq+xPQUFBQaHwUUQpBVrcN6btPTAzyuxvoJAzRr26oUVN5bhz+Bx+iBACL3+vN66MLzoaAudvowS+JNk4QJ8+AKy6toqHEQ9xsnBiYK2BhRzl24lKpeLb+t9iZmhGXHJchnmtW0PL4t6UjrrEihWFFKCCgoLCG4pPhA/3w+8TFR3L1aty2h+MIMCyNNStC5EvXsKWV6ISoxBIE0/HCg44OGTdzqvhl1hdvA5kXb735Ena38nJWfex8+5O/q52ltPlgzE1T7vVtymiJhKZQSQiXmzbL/lf4krgFYwNjDn2yTH+bfsvlZ0q57sfvSh17ALmPTtiHBtByQg5LyAmINN1MT1Po58C4GblBkBRa1mr+Djqcb7jUFBQUFAoPBRRSoHVay3YswLsTLO5Q1LIFjtPF64VaQrAgz/XUndBXWrOq8lpv9OFHFn+WLYMBibIEYmMhgwCU1N0QsefJ/8E4Lv632FuZF6YIb7V9K7cG79v/fit+W8ZpquXL+WAbzmm8A0zZ8oRwhUUFBQU8kaq4OE4bgpeuqo0tb/OP7PMcIy4Bxs3QpEiXPK/xJ8n/uTYo2MvNZZU83HrRDArak92Np53QhywktVrWWZK9SxziUcUpzvrOX8+6z6O+x5nWdWnHPWA1u9b66fb2kIkNuhUEOD3+IVeoC24tACA9yu+T+MSjfmm/jfP1U/qZ+RwXWY3naIBReKhlq4Y75Z9N8t9kIo+Uyol0y31tyJKKSgoKLxZKKKUAkZqOeqJmaVidP48xLzbCwDXY+up6FARePNG4Tuz5iGNOY5ObYDqSznc2557e7gVcgsrYyu+qP1FIUf4dmNiaIK9eRa1HK1aIQwMaMJxuH6N48dffWwKCgoKbyqBsYEAFH/0lKpco+Q7rgweTAZBaOnlpfx08Cc23tz4UmOJTJCZSdaJZO1ynoLG1h7LJDDWqknWZU6F+ur+NxTHj/X05ODBrPtIL4BZF00TpczNIUxlg9EocDvVirD4sOfalvjkeFZdXwXAZzU/009P0iZxyOdQvkb2C44LBsA5WnCVKhygFSpg+5V32dF3B86WzlkupxM6/KPlAEap5XtFrWSmVKpYpaCgoKDwZqCIUgpYmEhRqlJVRZR6Hir+3A0NBnjGX6SFphkA626uQ6PTFG5g+WDxYQ8OzPImcdYicJc3d3MvzgVgUK1BimHoK+TC0wvcDL4p/3F3R9W1KwB/eczEyqoQA1NQUFB4SURGwoYNoNUWbL+BMVKUcoqFWPeyfD4yTQwSOkHinYfUK1oPgDNPzhTsyp8hvVB0Kzj7zHSdnQMrN8G1tR2yfiFkZqb/89CBrDOd0q8L6zRRSqWCeIMimKdoXfkRjzKEYGTGkY+PMLLRSJp5NNNPb7akGS2XtWSX964896Uv34uFLXRhE93ox3Iu1Psyx+VC4kJI1iWjQoXLZ99AaKhSvqegoKDwhqKIUgppd4HZ5ZIr5Ih9BUeu2LUAoOgif+zN7AmKDeKwz+FCjizvGBpC28GlMPv8I/20FV1XMKXtFL6u93UhRvbfYuKJidSZX4dfD6cblSnF7bxd8ApqlHp1/icKCgoKr4ru3WHKFLh5s+D61Oq0hMSFAOAcCxYt6lO/vpw3eXwiAUZFMalQkvompQG4HHCZRE1iwQXwDOmFoku+2WdKqR3sUQswigrJukGKKHX+09msWZf1bXz6dflFWmeY53huJ1ZFpHjzvKIUQA3XGoxvOR61Ki2GpiWkncGOuzvy3E+rUq1o/tQUt2g4rG5Fmfers5J+XEqS/lQim7r1VD8ppxiB0YZN0Lu3IkopKCgovKEoopQCaFIyehRR6rmJfbcn4dhy5wp09+wOwOrrqws5qtyJjobkyKxNRK1MrBhWfxjFbYq/4qj+u3Qs1xGAzbc38zDioZzYtCl4ekJsLCxfXnjBKSgoKLwE9u+HAwekIOXoWHD9hsSFIBCoBDjEAfXq6eepTE0I1klhqORVPxzMHUjSJuEV4FVwATxDqlBkkwBa2+wzpYxcZFymsZlHRE5Ohkt7ZPZX5RZOOGdd2UZUfAQgRamQpIyiVLkaFthb2gJpJYUFReo1bPe93XnOFl/aZSl7lhjgEgPudd2pWVNO3xo2AZuJNvx04Kcsl6vsVJkHXz9gd+ogIAcOUDRGBeRevqfVad+4AWkUFBQU3mYUUUqBbyruZVCJvXiHK0bnz4vnhH582DoQ47E/07uSHLlu061NL/Wta0Ew8fdkAuw98a3TDfylN0OCJiHbN5MKL5fKTpVpVaoVOqFj7gVZPolKBYMHA5A0bTbjfhcFXuKioKCQd+KS4zjld0qfhaPw/Oh08OOPUJUrbC3+FS7Gz+dxlBXxmnhqu9amarABhjo4b1hfP69hQzhJQ/nPyVPUc5eC1dnHZwts/c9S3KY4pZJbsDXoZ+7U6pttOxN3B3aWhQHvPeSP439kmBccDDaJstzNpLgzRERk2UdUitgUlFgaS+fMIyvbmtoCz5cp9TjqMd/s+YbFXoszzatftD52ZnZEJERwyu9U3jqMjcU4KRaARt2cKFUKWnIA10fniEqMIiguKMvFDNWGlDRypEZA2rQas7ewq+8uNvTYkO3qfCN9sZtkx0ebP8q2jYKCgoLCq0URpRRY6d+C+Y/akKQ2LexQ3lgcipqyY58xAwdCE4/GuFm5EZkYyd77ews7tGxJSgL/udsopn2Ek/dJsLMD4JdDv1B9bnX2399fyBH+N/myjizXW+C1gARNgpz44YcIc3Ni7/mz8NeH7NlTiAEqKPyHeRD+gPIzytNwUUNWXVtV2OG88axZA15e0NbkKI2vzCDhh1+5dq1g+vaw9eB8h81cnqUlGUOWX66qn1ezJpwzkqJUwqGT1C8qBauX6Sv1QdUPaBF4kNAz4zArmn35nllpV9Zav8PucsmcfZJRJAsKgie4E6qyh/bt0NnZ89NnmcXRKI0Ueb5KXIa1jSrDvJM/bYfT94HnE6UuB1xm6tmpTDk7JdM8A7UBHcp2AGD7ne259pWsTUZjbEhrp8u0Zh+1m1nSpAlscfmC9323AmmeU1kSH89muhCJzAazfRxC++ItqORUKdtF9t3fR1RiFCuvreSE74lcY1RQUFBQePkoopSCPutCrXwbXhwhUF+7zj9t/mFfv336m7PXkS1boE/UHACMPh8AJiZEJkQy7+I8rgZezXLUH4WXT8dyHSlmXYyQuBDW31gvJ9rYoNq/n4lDn/CQksyeXbgxKij8F3kY8ZDmS5vzOOoxVsZWlLUrW9ghvdEkJ8Mvv8i/63dzAyBi4QY+H1SANyNCcNC+B9voRN2GRvrJxsYQV12KUiY3LlHPoRogBZeXSWhKRV4Og+/RvGsRms+RLyeik6IzzAsMhKYco0WVEDRFPVALHQ8WHSEqKmMfu3schxk3IaB6ep9zAB4fuUeJUJkZ/Tyi1K3gWwD60YafpU2pNkDeBL5td7ZhPMGMqx+MJLRGa1zdVLi5gWWVUjhJXS1bUWrJ5SWMuPIv3dxGYkskNbjE4V8Pg4lJjutM/xn/fOhnJTNcQUFB4TVAkSEU0KWU1SuWUi9IcjLJZStCtWo0CqxK69KtMVQbFnZU2bL9H29acwAdKgwGDwJg/qX5RCdF4+noSbsy7Qo5wv8mhmpDPq/1OQAzz89Mm/HOO3z2lTS43bULHj4shOAUFP6jBMYE0mJpC3wjfSlnX447Q+/Qvmx7AJ5EPeHngz8rHjX5xMsLfHygSBFoN60DwswcFwIRF70IDDTLvYM8kORcjHdj1tGdjXqT81RKtfDgKa6otRreCTDi/MDzXPniSoGsNyuEEHx4ZgjjGYmLeVS27YyNwSFlqNXoxIyiVFCKPuPkBMZt5QArzcVBHj/j622uc4WQihgKc0yfTYK3saH+Y2jz0IXSdqXzvR23Q24D2YtSFR3l9Hth93LtKyg2CIGgYT0TLl3SD/4LJUvmKkqtv7meiSf/4Id/ruLgAJepwY8/qdhxZyd/HP8jbRTbZ0gvSh17dIwDDw7kGqeCgoKCwstFEaUUlMH3CgojIy5FyBs8nz/XF3IwOXPnDlQ7Kz2LElt0AA8PkrRJTDkzBYDvG3yfYUQdhVfLZzU/w0htxJPoJwTHBuunly0LrVoK3MRj5s0rxAAVFP5jfLfvO3wifChdpDSHPjqEq5UrAEnaJOotqMeEExOYd1E5KPPDrVvwJTMY7TATc2tDVO9Jk+yerOPUKfdcls6dsUfGUmZ6aRJr/IuZGZR+Rn9p2Eil95WyOHOJ2m61MTYwfuH1ZkfLJc355OPZVCr/B3ZFcs7OsUxJVI5OyChepRelaNlS9svBTNZSum07CMCZDaoeqDJW76G2s2XoOZi5uxRdKnTJ93bcCknJlHKsCELItyQPHujnV3CowPz35rP6/dwHe0kVnJzuPoF9+/TT72kzilJZZTM9iZJm5s1quHL9OlhYwPnzMGr7DEYeGsmZx1lnan1d72u+rf8tnct35v2K7yuDuSgoKCi8BihPnQqKKFWAxL7bEwC342t5FPGI7/d+zxc7vijkqDKzaGY8/ZEmpWbfyvjW3VjHk+gnOFs480GVDwozvP88zpbOnPz0JD7DfHC0SDcc1a1bbLpVkeM0ZvECLUlJhRejgsJ/haMPj7Lq2ipUqFjbfS3u1mmCibGBMT82/BGAnw78pJif54Pa5aL422Qkw7yHwo4d0FNeP3uyjpMnXF+4/0eRj/CLeQBGcTg7k0mceecduFqhJ8fqfI+ucdMXXl9uRMSFEWUKxlqo1cwqx7ZJ3YYAEBUdnmG67Zk93KEcX10dCE2aoEVNObyJfRCobxOVGMWvgdOZ1SwIW4PMo+sZOtgCYBKf/5H3hBB6UaqCQwVYtAjefVe+MfnwQ9BqsTS25LOan9HMo1mu/elFqcPnYFWaR9vGy6VwTBGlEjQJxCTFZFr2afRTANxbdcV58UTGjNLiZ16OmiekH+bjqMeZlgHoWakn/7T9h029NrGh5wbKO5TP8/YrKCgoKLwcFFFKQfGUKkCq/NKZRIwplXCTe4cv88+Zf1jktYjw+PDcF35FJCZC1KIN2BNGnFMJaN8eIYQ+S+qrul9hYpizJ4PCy6eOe53M5Z8eHljGB1GSh9QI3sumTYUTm4LCf4mAmABsTGz4vNbn1HKrlWn+kDpDqOxUmcjESDbdUg7KvFIp8RImidFQvDh06QLt26Mzt8CDR9jd9yY6OtcuciQwVgo1c2NGMSL5t0zz7ezg91s9aHJuMurGDbkdcpuB2wa+tBdJqSPiWRuYYWmd8w1XQoQUrWJSDMtTcU7yoxzeOOn8wdaWKCM5anKSX5ooFRwbzBLVPv5+B2o2s8nUt7GjnGacGE58cny+tiEwNpCIhAjUKjXl7MuhNzjU6SAhId9vN4PjZCawYyxsO+ukn25YpiQWyVDviRHtyrQjXpMxzkRNon5Zt9AkfALN+f4HA4paRlI8Qt7UZidKpaJkgysoKCi8PihnZAWKF4dixaSPgcKL4VjWlov2bQEwm3WJyk6VSdYls/n25kKOLA0TE/hiVyc2t5yB6YTRYGDA+afnueh/ERMDEz6v/Xlhh6iQDo1Ok+bNYWaGqn9/AL4ynK03zVVQUHh59KrciztD7zCh5YQs5xuoDehTuQ8AW+9sfZWhvdnckhk3VKki34qZm6Pu9B4APVjPlSuqHBbOndQsHNdYgaGNRa7tEzWJLPBawOrrq1+KP1hUimm5tVHOWVIAaq10J08SyRlK1zrWldtUqr4zAPEmtgAkBkWkrSdRlvxZJ4KV2zMu54CJsy2bK4DrT09pu6JtvrbhTsgdAEralsT0+m24eBGN2oi93+8jefQ4fbtbwbdYeGkhRx8ezbE/faZULIQapIlSllVKAnBmfjK7u23CycIpw3IBMQEAGGtV2MfB7qvuMhOuaFGKplQ8Pol+kml9Zx6f4ejDo/p9FJMUw/FHx5XRhhUUFBQKGUWUUsDbG3x9wcWlsCN5O4jrKEsQXE+so0+l3gCsvp67t8KrpFoTG7oe+BL1AClw1HKtxY4+O5jYaiIO5g6FHJ1CKpcDLuMxxYO2K9qmPSR9LkXDdtqdfNnxUSFGp6Dw38HZ0pkiZkWynd+5fGcADj44mGWpkUJGkpLAZ5cUpUSFdIbZQ4cytep8JjASL68XE6UCY2T2kHMsdBrolG27SL8obs88SKVgMDcyJyoxSm/mXZBEJcvvhSY2s1D0LJaJ9iT+DpdjZ6FKX3cYGMgtB6hZdCd77u3hasnOLOYTgjV2+iapI/ZZJ0KmofcAczdbLJNAqCAyn6PvNSnRhKDhQWzpvQUWLgRgo64r7f5uTZl3y7N0qWy37sY6Ptv+GSuursixv/SilHBI+4zcqtjTj+UMKHccDDMPGJMqOLnEqFEBRiXk6I3pRamsMqUmHJ9As6XNWHpZBnrk4RGaLGnCd/u+y+MeUFBQUFB4GSiilIJCAVP1l04kYELJhNs0D6sBwCGfQ/ob5NcRA7UB75Z7l2/qf1PYoSiko5x9OWKTY3kQ/oC99/amTCwHLVuiEgLF7VxB4eVxJeAK++/vR6vT5trW09GT0kVKk6hNTDtWFbLl7l24tyMlU6piOlGqYUNKj/+ED79+SKdOz5+tJITQl+85xYKDp3OW7by9YXnxn6kwtBXqBUuo41YHIFuT7OclUZNIopDu5eGBmUvqniXZxApjLWjCn6lhDAri6/bgpQ6k/cr2VNs7iZaPFvPhn5X1TdJnSt16klmUqtbcjrDpcsS5iMT8+UqpVCocLRypbFUasUIKTgv4DAsL8PPVcfqTOUQ2fY8yptITzDvMO8f+mpRoQkM/S4pFgYFrmihVspSKlfRjc3AjMDLKZHSeanJeNFJ+R8xKS1Fq7cmiuKfssqxEqdSR96q5VAOgqnNVQI4omKRVTBoVFBQUCgtFlFJQKGCcylgzu+y/tDU8iH9SG+q610UndKy/Wfgj8v36bTR3XJrwdOx80GgAshzVRuH1wNzInP7VZTbbzPMz02YMHgyAWLCA4weTiFESMxQUCpy/T/9NmxVt+OnAT7m2ValUdC7fGUdzR8ITXh8PwdeVW7egAjIbSeVZMcO8tm0FLVr4UaLE8/cflRilFxmcY0gZri4zpUrBFdN6AMQfOUM9d/n32cdnn3/l2cSjR9hl3zCFZBNZ4qeNSBOlhIAz2wIR6RKnbBziKF4czM0zr8s6Ea77ZRalLCxV1KwnR5yLyGemlJ6QEEJK1+MBJfEq0pLHj2HmLDXTyk7H5tgOytyWGVD60vNsmNNxDttWWVMmDIzc04lSsnqP8JojsP7DhgnHM5bOdqnQhYcfXmTRVnn/YltRimDh5u76TKmw+LAMnllh8WH4RfkBUM1ZilLFrIthY2KDRqd5KdlxCgoKCgp5QxGlFBReAu/uGMy6kBZ062mo9xpZc31NocYUFwfRc1ZSPvA4Ngv+BgMDkrRJ1Jhbg1GHRiklJ68pg2tLAWqX9y4ehKcMu92pE7i6ogoKYnKr3ax+vapDFRTeeOKT4/VegF0rds3TMmOajcH/e38+q/nZywztreDelVjckKOnZciUArhxg9JbtqDa+vz+XLHJsdRxq41nEJhpwDsq60wpAwNIqF4fAJObXtR3qQ3AmScFmymlEzpqWbXA1KcefxbLPcNVY27F1+3ha7dlemEnMhKs4oOwSpRtelbqibHaSF7c072ZSBWldIk2JDoUzbJ/G1Mbfdu8ZAKm8vGWj/nfvv8RbGfKFyX2UJnr9PtIja2tfFdi3LUjAGUOXwVkmV1cclz2HQqBdYIUsMw90kQpCwtoU+Q81fEiOilKX+aXipGBESWiDSgfCkE44uYhTVE1LkWxSYClh6tzbfA1jA3SzFKvBFwBpB9W6varVCqqOFcB4FrgtTzvBwUFBQWFgkURpRQUXgLlyoFNSoZ+z0o9cbV0pZZrrXzd/BU0G9YLPk6YA4DZd1+ASsWGmxu4EniFhV4LMTFQRtx7HSlrX5Y2pdsgEMy7mPIwY2QEU6ey9vODbKMTs2fLt+gKCgoFw467O4hJisHD1oMGRRvkaRkrEysM1Pkbfey/yrUHFlgRzaJhV8DWNsM89f79VF6yhIdjV3DnzvP172blxrnOO7kxS/7/NCl7r8TizUsTgj2GmkTqRUhD9OtB1wv0RY2zpTMjPQ6SsPQMsY4eubZ/6PYOa8tYc9TuHv7R/gAEBsJT3HhiIYWWHp49CB88BiwsuNjhF/2yqaLU4cQu+NTtlWX/V7qkZd6melDlRlRiFMuuLGPy6ckYGRjx++8w+DtzBg5M16ijFKXsdhzA1tQWIO1lyjNodBo0Og09Sl6kFfuxLptROFzUahUfx8pS2KC4oMzLq4zYTBf20ha3FEspXcnSnKcOpaIbU9mpcobjMUPpnhD6i2ZVJ1nCdzXwap72g4KCgoJCwaOIUgoKL4ubN2HYMBxnrubxd4+Z2n5qoT6wnJ56jupcIdnQFPXHHwEw/dx0AL6o/QVGBkaFFptCzqRmSy30WkiiJuU1eY8etBrfAhMTFV5ecO5cIQaooPCWseTKEgD6VO6T0WgapEu3lxcEB2epBuuETu95o5A1t25BPOY4tJCCwL2we4w5MoaYpBhEzZoAGF33Yt++F1iJVstmo55s4z2c3LO/vtWrr+IssmzP7fJ9ilkXo1SRUll6EuWETie9v1u3hvPnM8+PSikry8J7PBOf7uyOm2cZIE00CgqCNuznsq0svXOycCI0WXb29EaEftlBtQbR/sFNODIm23VZHT6ImbS4ynMJX2p5m4uFC7YJ4OkJf/8NlSqltdkZ1oBooyKowsIpYyxHz8muhO/IwyMYjTPmRPchhNVohWvxjJ+Rew0nnGLl389mSo09MpZvHqygm+0/9DdYrq/OTK7bkHqcY1b5aZnWdyVQZkpVNy8lR/YZNAhAnyl1NUgRpRQUFBQKi8xDWigoKBQIPtuvU3LaNIJMSuH+Y+GO7HLvHtT0WgBAUuceGNnZceHpBc48PoOR2ohBtQYVanwKOdOxXEeKWhflcdRjDjw4wLvl3gXA3h569oQVy3XMnq2mXr1CDlRB4Q3ml0O/YGJggrmRObu8dwHoy68zcOQIvPeeFKesrWHiRL3P2yX/S7y3+j3szey5Olh5yM0KnQ59BlTFilLEq7+gPqHxoSRqEvmtxnAASuDL3VMh8NXzjQibZO9Kt+S1AIRkP/ge9erBTOrxLrtIOnGW2ytuY25knv0CWRAcDO3bw8WL8v/SpaFOnYxtnI+s5Q+8SEjoADTJsT8rK7Axlb5SqRlbQSm6TNGnQ+nc+iHXAq9xzn0vU0zBNJ2Pma2pLaoQW4jIXgCLNbal412IrVgbA1XeXpbdCZEfWgW1IxQpAs2aweHDGdrcuGNIZHI7+rKasmEqLhhmL0oFxAQAULWSCQf/zKKBkxOO2YhS8y/N50n0E+au6IpTcknUKa/Yi6ZUK94NvcuE4xuwNbVlSJ0hAFz0lx9Odd8kuTMXLIABA6jqLoVRpXxPQUFBofBQMqUUFF4Spu+/SxxmuCc+IGDXJbQ6LUceHsEv0u+Vx7JiTgy9kZ5WFl9Lv5PULKmelXriYunyymNSyDuGakNmvzubCwMv6AUpAGJjmZj8Pd6UZfuaWMLCCi9GBYU3GZ3QMf74eH498ivD90tRpJJjJX0WRQbatIFffwWVSqa/fP01XL8OgIulC0+jn3Ij+AaxSbGvchPeGB49gpHxvzBf/TklIy+TqEnUZ+ou8FqAsLIipEgxAJLPXHyudUw8MZGyM0pBwz8xNJQaSnY4O8MjZ6noa06czbcgBeDgAMYp9kVqtPj6Zpy/+tpqerl/yNX3/6RSXBZpVM+i1WKlNgUgOlFmSgWmDOBbPXEY/7b7l2nnprHM6DDHSoB5UkSGxacdqcIdyuEam7UglGBiy7r18Ld/H4rZFMvTNvpGyo0qESfjehDtmDpeip6OHWEvbQH4+oIJBz48wMfVPs6yP59wHwA8HkbC9u2Z5t+LyjpTSqPT4B8jSxrfa+xOly5py6SKUo8TbvDzoZ/TSt6BJZ2XMK3dNN65m5C2wKhRVHWuyoz2M1j9/mpl4BcFBQWFQkIRpRQUXhKuZSw44yD9FR7/vZaPt3xM86XNWei18JXGodFA1IJ1WBFDtGtZaNyYoNggvfH6V3W/eqXxKDwfHct1pJZbrYwTzcxwPb+V0jygS+IaliwplNAUFN540vsH3R16l0E1BzHr3VlpDYKD4UE6b5yff+bq2XgimnaWJ9nBg0Gnw83KDTcrN3RCh1eA1yvcgjcHOzv42nU9n+nmYRgRgpmRGXeGyiyckLgQrgVfI7JsKQDsH10iPj6n3rLGN9IX32gfMIrB0RF9Jk12NP2xPsf6ziZm8Tr9tPwIFCoVrJj0lPvvfEgc5lS6lnFgk4iECKKNk0k0gOadc6/fuzpxF5bbpJ9Savme+dnD3KUs/7shRZ6WJVsCcLAUWGnC0enksou9FrO47i3inb2xKGKcuXMgyVyaXmpDI/K8jU+iZUmqg7+s+1t/vSIGzyRZVawIkW6exGJOqQBHWpZqiaOFY5b9+URIUarkwYuy7vEZzvikiVIhcSF6T07/aH90QoehToWzcylYk7avPTzgjMO7nLgmMxxvBN8gQSNFqFputfiq3leYnbirby+OHsXSN4Av635J4xKNM5XqPo1+yoabG/j54M98t/c7RWhWUFBQeEkoopSCwksk4b2eALifWke70vLt4errr/ZtXFISVOtWmhM272L29SBQqZh/cT5J2iTquNWhXlGl5utNI1mbYgaiVqP6/HMABjP7xfxXFBT+w6RmoxioDChjV4a5782lSYl0JVbDh0OTJuDtrZ80dqIJVY5OJ8HQAk6cgMWLAajrXheAc08Uo7essDFLwjrovvwnZeQ9axNrulToAsCGmxuIr1gSgBriIlefowoyND4UgClx4/lN93Ou7T/91oYmK7/AqU0NohOjabK4Cc6TndM8/HJjwQJKtStHqVMrMCGJ6gF7MtiNpZqPWyeCQ6ncRSm/cEuskuTfqd9Nh8THOJncI8z6NoExgbQo2QKAQyXBlgiiU/zKV1xZxvhmWm44QfUmWa9LY2Erf4eHp11PciHVY8v1oVxRdLGKPGu3plJBiW61sCSGX+rkfEFKNUAvGQ67L2aurzQv4YRDHNR8oqJt6bbEa+IzxOEWZ4g6IZEHIWnb6O4O9WrrKB2eiIPaEo1Ok7EsTwjEPZk9NoERbJ98F8qUyTK+W8G38JjiQY/1PZhwYgL/nvmXqWen5rhNCgoKCgrPhyJKKSi8RKqP7EAMFrgmPqKBT1HMDM24G3qXS/6XXlkM5ubw8aKmNIrYgeGP3wPQuUJnBtcezPB3hr+yOBRenOjEaAZsHUCJKSXSMjv690eYmFCbi+wam4eyEAUFhUykZqNYmVhlNjY/eRKWLYMnT/C7klYja2sL/gbFGKn5TU744QcIC6OOmzQTOv9UOR6zxNsbtFpii1jS9fhQvXjX01O+xNlwewMRpaQoVY0rzzWIQ2icFKUc4gUGVhb5WtbS2JLrQdcJjgvmVsitXNuf3h2B7ovBEBuLzsmZeEzRanRERqa1SS9K5cXp3MjOCqsUPSz1XN+xThAni0PHjufosKoDzT2ao0LFDSfQmYcRnmIrFRUfoV+Xlatllv3rrG0Z8i7UbDKTf8/8m2s8AIGxsn7Qw1f+VleskGW7Zi3UgIpLXlqWXF7CL4d+0WcrpUefKRUBIerMopRVaSeMdHBxvmBX53VYGstt8YuSFgjuKdt7xNs944Lu7qiAmjo5mt8l/0tMOzuNRV6LCI4L4ZuuvpTjDr/yG8NneKDRSKFryeUlrL2+Vt/NnAtzSNYlU9ymOG1Kt9FPK8xRlBUUFBTeVhRRSkHhJeJWxpwzDu8BEDl1B53KdwJktlShkPKwVdmpMrPenUXPSj0LJw6F58LC2IJjvsfwj/Fn9bWU75CDA6oePQBQz51diNEpKLy5pGajWBlbZZyh0cCXXwKwxGAA9YfVw0c+S7NwIfzvfzCNr1lj8SkJo8aBgYGSKZUL55ZKoed87WJsubOFzms6oxM6OpbriImBCffC7uHlYcriwaepwjWOHMn/OlIzpezjodNnObicp+PG4SCOfjCX6DH/UNU57+bXOybfQq3VEGPtivqxH1tXxeFxdBnm6ayp0otS6TN7ssPEwYrfD0PgBBsmtpooJwYGEpiirzlZOGFvbo+DmT0Ayy1bEREuU7OiEqQaZo0JGGY9npGwtcVEAzqVICw+b2aEpwecJvDj67S/E4MOFbb1ymfZrmxZ+dvbW83Xu79m/PHx+qyoVJK0SfqMp1LhoLHL/BnZF7egO+vpZnckzbCLtEypEhEyw8uirFvGBVOMpapFymP5ov9Fxh4dy4BtA3gY8ZB67xhQvGU5tBji7S315tN+p+m/tT9jj45FJ2Qd5I3gGwDM7TiXrb23Ym9mT2h8KNeDrudpfykoKCgo5B1FlFJQeMkkdOrJY9w55+OgH8lp9fXVr+Rt29Z1iVzrM4FEb9/cGyu89qhVar6o9QUAsy/MTisDTRn5izVrSPAP15dxKCgo5I30mVIZmDMHrlwhysCW/2n/oFIlcEv3DDxqFBQvaUif2IX88ngw2NhQ2602IMuTUjN2FNI4Pk+KUhfcbAGo5lwNtUqNlYkVIxqNYEa7GdhZuNPsf7XYddA0vWVQnkkVWuziwd7TOU/L/DH0CU1XfYHp5N+p4lQZgKuBudcOqu/I7UkoVQmMjOjdR0WTJhl0FKKS0kSp+8F5E6XMk8EuKQZ93l5QEEEpopSzhdwmWzPp4F5h+/dUqixbRqWWoiZbkpxNZV7DGX3RfPATAOHx4Vk3enY7VWqcfEMxT4aHeFCmilmW7UqVghHmU7iQVJ1yGlsgbeS+VOKS4/io2ke889QW5xjAKbMo5eQEG+nO9qim6AyN9de7VFGqaBQkYYRDhYyjM87fLUWpkjflI87aG2sJiw/D1NCUai7VGDQIDhyAv/+Gtuyl6ehmNJ+7F0tjS26F3NL7bR746ACXBl2idanWmBqasrX3Vp5+95RqLtXytL8UFBQUFPKOIkopKLxkqv/aiW+7+WL/1wjalWmHraktT6Ofctz3+EtdrxBw5LttVFnzM8n1G4FOh2+kLx9t/ohTfqde6roVXh6fVP8EEwMTvAK80sqDGjSAqlUhPp5xZZfy99+FG6OCwptGaiZLhkwpjQbGjwfgJ+14EiwdWbwYTEzSmpibw4wZ8u8pU+DePbA1teWDKh8wvMFwknV58+sBec7esAFGjIAePaBvXzKUgL0NJCWBa+RtAHyKy1vQig4V9fNHNxvNoJqDsDS0pGhRaNECjIzyv55UMdAuniwFj6xwaF6FOMwwjoukqpDLXA3KWZTSaGB2UHcacZzkX8Zm2y71+2WTCKZOuYtSZo6yVM0QLSTI0rcTGwMJTKnGc7KQ8dma2gJgYhOu30+RKQJrfIRVJiPyVIpVsKB8eVn2FpaQ92FbdbZ2zDMYzFp6pdqBZcLcHCYMD6ds/FUqxciR+m4G38zQxtbUlsWdF7N+nSsqwMA182fkmOKPrmkzFJuJ1sw4Jw+0ia0m8rDxRr47DU9xw809Y7ltkqPcrhr344C0fV/brTbG3/8gD6wLFxg8GOZMTaT046M4HLvATw2lSDfi4Ajik6V/VQ3XGhio5U5sWLwhNqY2ed5XCgoKCgp5RxGlFBReMkVLGLB+o5oePcDE0IT3K74PwG7v3S91vWfOQNsnckQbo/4fglrN/IvzWX51OaMOj3qp61Z4edib29Orci9AZksBsizzf//jdvtvWRPbkfnzyfYNuYKCQmZalmzJlS+usLBTulHADh+GgABCVfbMZyCjR0sj5Wfp0AFatgRn7RPufz8LTp5kRbcV/NXmL1wsXfIcw9atUoyaOFGKU6tXw7RpBbBxrxG+vlAEKYLct5EjmVV0zEbd8POTpZNdu+ZrHVqdloqOFSkZrsI+Du5E5C1Tqk4DQy4iRzit+lieQHPLlHrwAEKTrfEyb4Rz13cACOsxiKAStTk9+7K+XVm7slgFVePPqGmYeLjmGouFsyUX3ODDrvDrwV9ITgazmMyZUut6rMPvG1/auTWB5GQSNAnEC2lGFZpcIcdRB4uYyiyrvGRKXQ28Svd13fmfzxY+185ijPEflCyZwwIp5uGeATIj/GbIzSybWcYFAWBSLLMoZWICrS1OUYlrxCRHExQr2xobGOP8VIdrDDzBPdMxaVJaZkp5+gXh9bkXA2oMAKC+e300m7bC6tWI6BjMzMCjkyzT5OZNvq09lKLWRfGN9GXcsXHZbpoQgidRT3LYeAUFBQWF/KKIUgoKrwqNBo4cYXj97zgz4EyaT8RLYvOUR7RBjn5jMvhTkrXJLPSSD1ypJWAKbyapn9+a62vS/ED69aPk5n+IcizD06ewfXshBqig8IZhZWJFVeeqVHKqlDbxxAkA1okelK1oxLBh2S8/bBhsb/wXbbd9CfPnP1cMqYu1aAGDBsm/Z8zQJ8q8FTx4AB3YTZ0K0dxSy2ym9JlSANeDrrMvdB83Yh7ArFmwZQsdaz5Fp8vbOgzUBpzvdZAHUwVFEuBRfN4yperXhzPUB6DCJX9UqAiICdCLIVlxK8UHvXx59AJQwrlrOPle5OzqNB+lSa0nYbTmMg+8v8LK3jiLnjJiZaNmpWUzVlSDPX6HCQuDAFzwtZBpeqmZUh62HljW7IKxdREu/nM0TWASKr633Zlt/z4XQgn9aSVAnjylbofcZuOtjZwL3cuTJ3DkSLZ2VZIUUariPZnq92ymVFh8GImaRL6seJiWHMDUs1SW3SxtspAesccAMnwOITiwia6cMmqWyTfeqmJRzlGHq9ZNqe5YhQtPLwDQwK4qhn4PARi9KaUEr0QJsLKC5GTMfR4zocUEACacmMD4Y+MzxfM0+il15tfBc5ZnnsseFRQUFBRyRxGlFBReBUKQVMYTmjfH4XQ49YrWyzzCUwESEwM2W5agRhBRswWULs32u9vxj/HHycKJzhU6v7R1K7x86hetTzXnaiRoElh2ZZl+uokJfPqp/Hu24nmuoPBCRA8fS3WTW/zF/5g2Lecysvfeg5pjU86rO3aARkNkQiSHfQ6neb/lwk/D4tlf7kt2hDVgls0IihaFoCDZ3dvCgxSdxrE8+KaMovZsptTEUxOZ5TeLHeFn0NWRpvGuXjvzNwpfUhJbTHuxm3Y4ljDPvT3SC+mWVT0ADI9cpGHxhrQt3VZf/pUVdy/H8TffMcRoPmhlVpDGrTgABk/SvByFgKiUbvIw+B6OjtBo1WgAonXxhIZCR3Zyylqai6eKUgAh8TJ96t75cBzMHVhU6yYsPIWNdfa3+I8faal7TWZrhyfkLq7ofZyEJW7WMTRokHP7rTdTMqVuS+HxdsjtDD6ag3cOxmy8GT7NThJZqyVuZbL+jFyrOeEkE+oIigtCo9Pw4eYP+TFpL+8brmJByczCkVP5ItTjHAPtNxGtieNakDSrrx8u99NDSuBRQ2aJ3bqtwktbRS549SofVP1A7wmXVQafi6ULSdokohKjmHJmSs47QUFBQUEhzyiilILCq0Cl4kCcvIt78m/akMOpo7wUNJvWa+mXtAgAm+9k6vqcC3MAGFBjAMYGub+pVXh9UalU/NToJ8Y2G5tpBMVhVQ6xhl5cP+CPt3chBaig8JIRQnDh6QV9FsSLsu/+PsZN7MCRDxtDQAAAcXHQ6LMKuDUsRcuWeeikcWMoUgRCQ0k8cQSnyU60WNZCP4R9rovfXUiru7Mwu3wGg8sXmT5dVhC+//4LbNhrRqooZVNaGl87mDvgYJ7RqLqGSw0AvAK8UHeSo9e+x/Z8ZX/q7BzonryGDuzGOW/Ve6hUoKsjRSmze9c43nMPe/rtoYxdmWyXiTp/h+/4l77XftKnShmUlKKUWXCaKJV4z4/fNCMYwsw8iVJqNXi4Sn+z6MRoQlP88u18Pue7+t9R3kGKUwcfHGRckyesqQy6sAiMDIwooqkIj+vnuB5Ldxtco6HlA2jm+k6u8aSWq7mv2yMziyIicmyvsXEgAhtKhoOJ2pgETQKPIh/p5/uE+yAQfP+5MxcuQJ062XTk5IRrjPzzRtANnkY/ZcXVFax7Mpljh42zfPmSWs7n5wcXn17S32e53pTC2hWqUS0lUcrBAc7EyRK+pAtXUavU7PlgD4c+OkS3it0y9a1WqRndVIqFU89OJSIh5/2goKCgoJA3FFFKQeEVkdRZigfupzcQGx/FwG0DKTGlBLFJsQW+rmtTD1ECX+JNbVF168r9sPvsf7AfFSoG1hxY4OtTePX0rtybX5v+iptVxuGwXWeNohfr+IwFzJlTSMEpKLwk4pLjGHVoFKWnlabO/DrUmV+Hzbc2v3C/u7x3MSpxN3v9T0Dz5vDoEc7OsnzuxAkpWORGZKwh9yp0BMBk+248HT0BuOR/KW9BLF4sfw8bBlOm0KULNGuWt3W/KVicOcg+WjPk7l58v/FlZ9/MJWY1XWoCUpTiPSlKteIA86fF07attJhasCD7dezy3kWpqaXQdpRpo6mG2XmhdNOiPMENtU4L16/n2n5wM1m/Jyp66j8oiwrFACgS45uaPIXHuhrM+WYiPa3+wcIib7FYGcmGMUkxelGqdNgQ/m77Nx62HgCcf3qepRUfsLc0qCIjACi2ehK3Kc+noX9l27eNkwlOkaYcWAaL62bONnqWx9FS0HGPgmhzJ3zCbXNsX6asinuUwUDA/lKjeTjsoT5mAJ8IHwBKbjwIGzdm2493lBMtfMBco8Y7zFs/Mp67hSuNG6po0SLzMqmiVEKshoq68gyoMYCNPTcSd/oyAFdV1amUUqXr6AiPrGWmVOxZmVFlb25P85LNs42pa8WuVHaqTGRiJFPOTMkkTOU1M1JBQUFBIQ1FlFJQeEXU/LE14djikORP/G4vDj88zOOox2y7s61A15OYCPZRPsRggaZHXzAzY97FeQC0LdOWkkVycidVeOMZPBiAQcxj+WINSUmFHI+CQgEy+vBoxh0fh0+EDwYqOSrWh5s/5ErAlRfqNypOljBZJQG3b4OHh8x8is37SwNfXxh5WopS2v0HqexUGcjsp/Ms587Bn32vwKVLskbwl1/A01NmbI0aBVOnPtc2vY58VvcqrTlANe0VitkUo6573UxtUjOlfCJ8CCtbFJ17McyJp27MQfbtgy1b0vS7rPCP9udRlA9YBGJnl7/R+/p+oMJv9k4iH4ZDPZk1lVP5nlukFKUsaqWVellVlplSxYQvAQGQrE0mUBOKry2ULGWTo/l4esKb9AcgOjEK9blTeFOGib59MrRJNSuPMAV1VDjnnpxjvtlGbpe/i51B9kM32tpCBLYAJAflXr6XmilVNAouxVXILVGK0qXhGlW4TiVqCE9K2JZArVKnbE80IXEhAJQcNxNmzsy2n1PeTlgnQqc7ctS70UdkllIx70AwM4PLlzMtY2EBc6rNJtbAGpsxo1jQaQHdKnZDc06Kw6FFq2FqmtY+qXxV/HEhWGef634AmS31a5NfAfj92O+0WNoigxDVdkVbNtzckKe+FBQUFBQkiiiloPCKKF7GmBOOchShp1PX07dKXwBWXV9VoOsxMYGfHgwi7EYAVpPlDVwJ2xJ42HooBudvGUIINt3aRLsV7fCP9pcTu3dH2NtTjMdc+G0nxkqlpsJbxK9Nf2VonaFMbz+dsB/DaFWqFbHJsXRa0ylHQ+r0hITA7t1pHj8A0bHS7DkpyQ6tqfS3ifMNQWeaNz8igMqV4UlxWQqlunEdTxtZ9nUj+EaOy82fDyarU1SWzp1lTRFIN+lx44j8aQLVKySQmJjnUF5b3JNkhox1tayNrQFsTW1xNpY1d14Bl1F3ltlSC97bxoIFMHG8lkUfHSb4g29Y995ylizJuHyqcXe/+F1MFt/nK77SpaH+F9WxKWGLf7Q/7v+44zzZOYMfUgZSnc49PfWTDDxSRCn88PWF6KRo/Tw3B9s8xxIaIIUYHQKTqAc4G98nosjttHM9cl8BhJuBUUwEp/xOMbfkOdZUhqbvZV+/Z20NYdgBEPM4NFcrgVRPKfdoeEApypfPOXZLSxjpspgqXOd2hS4Z5qVmSdnqzLBJhJ03SmTbj0lRmeb22XkV75Z9l4bFGso4QpIhMRHfhKxN7D//1RkTbTymNy7KCRoNsUlGaFGjrV0vQ1t144a44c/0Wktz3qh0vO/5PpWdKqMTOm4E3+B2yG0A/CL92P9gPz3W92DkwZHZf28UFBQUciFZ+98aRlsRpRQUXiGpJXxFT2+gj6f8e8+9PYTGhRb4uop7WoKTvGEbUmcI97++T8dyHQt8PQqFh0ql4p/T/7D3/l79yIqYmqJKcTsvvlOp31N4u7AysWJ6h+kMrTsUaxNr1nVfR1m7skQkRLDjbt4cwffsgbEdzjCu4kpCZMIGUSp58zc24R9KJ9xgi1U/OvlOZ/acvNfOqVRQr5s7/riATkeleOkJlFum1P6dSfRjhfynf/+0Ge+/jyhWDJuEIGrdWZk/o+/XlRRTqWH25xh1aBQBMQFZNittXhqAi/4XZQmfhwcutYsyYAD8+Gkw5Ye0wnHVVLrt6M/6hRkzmULj5fXUIQ7UVnmslcsCJwsnQuNCM/khpXL9OoSeSPlsK1YkPD6cYbuH4XygHRsrGBGJDX4+0vAewDwJDK1t87x+lTqtbY3yj7noBl16XKbFsrSatSJmaZlSJnHhekHOLh4cSmUvShkaQpS6CNW+APtrbXL0ZhNC6PstGgWxNu6Y50GrLVtW/j576zGjD4/mpwM/AdJPCqBYnPxsfNXZZ2+be8h7mGYPI9jRextVnGSpXfFIQTKGXA3MxjCspiwB5fp1mT5uaMg375zHmiiKN3DP0LRqNXmMX7uWRT9hYfKE8ccf8Ouv+qEw1So123pvY2aHmTwc9lBviu5i6cL3DaQQ+seJP+i6tisJmrdo+MzXmGRtMndD7+IT7kNwbDAJmgSllFLhjeWwz2HKzyj/n8q6VEQpBYVXSO0fWxKKHXbJgTidCqO6S3U0Og0bb2XvqZAfnj6FyDO35FA/z6BWqTFQGxTIehReH76oLbPf5l2cl/ZW9vPP5e+9e+HBg6y+DgoKbxRnHp/JMpujiFkRjvc/TuDwQD6t8Wme+jp2RMcZGjDpaT+WDj0PyJIiAJKseIQHXaOXc0jVii5d8hdn+w4q2rCPGh4RVGogR+N7duSx9Dx5Aon+oZyiIbriJaBNm7SZRkaohg0DZDnu4cP5i+V1w88Pwi4+IFkNs+KOMu74OJK0WdcXlzZLJ0q1aSPFrF9lyRQuLtCtG1pLawzRYnTmOPHxacumF2Y6fuLwbNe5cuFEAkdrf09A1Q6UTTE5vxNyJ1O7g3uSsQ6Uo0msN31AuRnlmHZuGkHxwSz69gOCjt6mdXtDffmfdSL4hOXB5TwFrYk1QZPg7I1ROAbHEpiir6UfeS81U+qpqRnnqUN4vCzFK5JArsP8xRoXQS1AkCY6ZYVKpSLyp0gu7GpH0SjSTJtyoUyKP/xdn2h+O/YbM87NQAihz5QqHibFoGin7LPmbMo60Z319C9+CITQe1sVjYKnuFHMI5t7mhIlEEWKQHIy3JCZip98AoO+saBZs4xNq0qfc65eBZGsSZvh7Q1Fi0L79jByJPz+O0ybpp9dskhJhtQZgquVq36akYERk9tMZmW3lZgamrL97na6re2mCFMFSHh8OFtub9EP3gOg1Wlx/MuR8jPKU2paKZwmO2E23gyj342wnWhLk8VNMvTx9e6vGbB1AL8c+oUpZ6Yw7+I8Vl5dySX/S/+57BSF15M99/bgE+HD0YdHCzuUV4YiSikovEJKlDFicpm5NDG/wCWLxvStnFLCd61gSvhmf3sXmwaeBBevCUlJPIp4xIabG7K98Vd48+nu2R17M3v8ovzY6Z1iGly6NLRtC0Kw7d25fP114caooPAiBMQE0GRxE1osbZHlw52zpTOmhqZZLJk1/vvTDKzFXSkqxKSUWG3faKXXhVq0yPPzt546deA6Vbj60BorrQemhqYkaBL0D+LPcu4cBODKqKpbUd+9I1NY0tO7NwC1ucD5A9l7BL0JnDmlwyzAh3t2oBFaLIwsKGZdLMu2jWwbsbvPbmZ1mCWHonvW7X39etR95L5prDnEyZNps1Izpezjwb6sXb7jPHXRhGoXF+J+Yx8VjORAEqnlWekJv3AfIzSEWFrw4fFvCYkLwcpYZsclmT2mSRM5GGN6Ueqyj02e49CaWeIYB8aRiaiCgglKEaWcLdKyg1JFqXgHI/pf+46whDRB7n5wzqKUw9aFmHg2ktsSn7OvlEqlwuVxCGoBqmJF8xR/rXLR3DKryfhJ9TFSGxGbHItflB8VHCrwcbWPaXlXisyqktlnSjm6GrKR7uyMaQoGBvqRgx3i4DFFKZpNKCdOqjgYXkv+c/EiaLV06AD//pt5pL+KFWGk2xLuJbij+eLLtBlz50J8vBRBGzeW0+bMAV3uoyb3rdKXnX13YmZoxu57u2m/sn2Owp9C1my6tYlfD/9K7w29aby4MWWmlcF+kj1d13Zl+rnp+nYGagPK2pfF3Mgcc6O0ND6t0BKZGElsckZvwJ3eO1l0eRHjj4/n273f8vmOz+m3uR+15tWi5NSSGTKsbofczvX4UFAoaP5s/SeHPjrEr01/LexQXhmKKKWg8IoZuLc7+0Jr0bqNil6VewFw7NExvWfD8xIfDzZbpSeCyt0NjI2Zd3EePdb3oN+mfi8ct8LriamhqT5DZPaFdONjf/EFscUrsOV2eRYtgsg3+3lW4T/MvIvzSNYlk6xLzlF8EkLoS4Oyw98fPHzT3jwaPPEFIDpAlmc57N/P1q3SSHvRovzHamsL5crJvy9dNODXJr8yq8MsvXjwLKkleXXrIg0Bn8XdnaQSZTFAh9HpY6nVQ4VGSAjPHUPQ1QDMSOCmo7z1rOBQAVU2Qws6mzjTsmRL7M2zN59WtZRlbC04xKFDadPTZ0phnzfz6vRUrabiGrJMrHy8fMC9E5o5U+p0WHlc8GflN3NJ1iXjZOHExp4y69k30lffLr0opbPIR6aUhRS4iI7m3I5AAi3lv+kzpVKNzmM0UbgX1WbY9puPc15X9TZOuLvIvsITcn/oPlLiY2YyBFGhYq5tAb780ZIKBt5YxkZR1lL6bN0Mvkm7Mu1Y0nEBX5+MAMCicvaiVIoDAWFhMumpjlsdGuvK8t4d8Dcoil02mmOFCnARWcKXePoilCgB9evL0QiewcQExv9jhl38U4zOn5aZ5klJsGwZAEvemUdHwz3csqxNRN8hMpA80KJkC3Z9sAtzI3OOPjyqN3oHuBd2j5ikmDz187aTqEnk8MPDbA/ezrjj4zLMm3B8Ar8f+521N9ZywvcE98PvIxBUcKjAe+Xey9B2b7+9xIyIIXZkLJpRGiJ/iuTJd0+4M/QOq99fnaHtb81+4/fmvzOk9hB6V+5N5/KdaebRjCKmRajsVDnDeanF0hbYTbLDZbILHVd1ZOyRsZzyO5WrD5uCwovSvGRzHC3yMXzsG45h7k0UFBQKklLpMtWL2xSnX9V+lLApgZE6H0MEZcH2LVp6JcqbKLtvP0Gj07D4sjTP7Vmp5wv1rfB6M6jWIP469Rd77+3lQfgDShUpBZ06Yd6pM+eqqoi7AQsXwnffFXakCs8SlxzHLu9dnPA9Qc9KPXmn2DuFHdJrRbI2WV+mMbTO0GzbhcSF8M7Cd/CN9CVweCA2pllnpBw9Ck04pv//QHgtvhGw5HRtDO4cwuVTZ0xNZanP81Kvjo6Bd3+gytBztDu3hWyfnIFrJ6NwIZZ69VyzbWPUpjnM96aR5jBnzryXqfzoVbFvH3TqJIW3P/+EDz8kzyPJAYTdDiIIR7yKaoBwvQ/Pc5OyI2pwmR/3hsIEKUC5WbnhEWGIS4yGuyF2lMtnt1WqwBqq0pgTlHqsAYusRSmfhyoCcaFayw+IbfQ+T6OfUsS0CJt7bcZx01mCS9TmVu0PMZtcheK66jwIKsaZqoN4P49xCAsrJjWE4+X20NvfKstMKTszO65+cRVbExvUiUn6jI6keCeMnIrkug47U/ndzCmLZ/Otzay4toK7Zdtz/fRMFlbN4waoVFKhvXQJT5UzN7nP1LNTaVemHfj5YSC0JGCCU1WX7OOzg2aqo1QQN4k40Zhvmn/D+//6YZX0D5G2xTIl0KXi4AC+9jUhFNQb10NUGLqgYOItncnSZaxZMzma37VrsGkTtG/P/fd/4NGcXXy2qT1aDNnJeYbFwJQstOPsaObRjMMfH2b1tdUZhOkB2wbg5e/Fsq7L6PKMEfx/gYiECDbf2szGWxs5/PAwcclxABj6GzKq2SgM1fLxtGuFrtRwqUEFhwoUsymGq6UrZezKZCiZTMXOLO08a6A2wNrEGmuTrIXZD6p+kOV0IUSG0TYTNWmjSwTGBrLTeyc7vXcy5ugYnCyc+LT6p/zR6o/87wAFhWzYfmc7tdxq4WblVtihvHKUTCkFhcLg2jVE/09J+Op/LO+6nHEtxuFsmY1hZx658u8hivGYONMiqDu/x557e/CP8cfB3IFO5TsVUOAKryNl7MrQpnQbBIK5F+bKiWo1KrWKFEsapk4FjSb7Pl4WW25v4ZMtn9B3Y1/6b+3P93u/Z8PNDQTGBL76YF4jgmKD+HTrpzj+5UiP9T2YenZqhhKhOyF3GLR9UIaRtv6LbL69Gf8Yf5wtnHnfM/vHeXszewzVhiRqE9l6Z2u27Y4eBRsi0aGiieo4u5Jb4+8PbuejaeQL1x+XeeGYJ0xU822prbjfPw4XcjKQhrI3tuCPGz1Wd8u2nap5MyJMnYnDvNB8pc6eha5dpWd0YKAU7Ro3htB8jNFxLKo6zgRxpFV7ACo65CxKnX58mh/3/8jqa6uzbuDsTFL5ygTgTLTXPX026MpuK7k+zZRmD+FhdP4zpeztwddWKi/Fr8oNfNZTSquFhw/l3yVLyozVUkVKUcSsCF0qdKH0Y1McfS/ycOcNWpRsQe8EL8K2bkPrlnW5YlZEunuytKwjO0r4cNXWhIcWZkDGTCkDtQFVNHa4OpRFa2VLcIwUlz6P34CoXCXH/q/MOU3iBumpllN50kX/i2y6tYlGPbx4/Bjez6uqBrI2DqgYLTMc99zbw4EHB6BYMRra36YteylZOvtHEbUa1jaazmyGUOTKEQD8bKuykW48da+T7XIAulp12EwXIixkDe7Z5Jqs3ZKNouTsjPh+uPz7xx/B0JA/tcNpySEaNDLkhx/krCVLIDY26y6yo657Xf5t96/+/9ikWAJiAohOiqb7uu6suLoifx2+YSRoEjJ46v196m+cJzvz6bZP2em9k7jkOFwsXGhg04Cv636dQQj6ucnPzO80n+/f+Z6elXrSuETjLAWpgkKlUmV4oWFiaMLT758SPSKaU5+eYlq7afSq1AsbExuCYoP0YhqATuh4Gv30pcWm8PbjF+lH7429KT+jfJYl4287iiiloFAI3DwShGrJYhLnLMpzKnhO+PtDpfNLAEjq1gdMTVlwaQEAH1X9SO/DoPD2Mrj2YOq616W2W+0M0/u9H89QyyVY+N5k8+aXH8ejiEcZ0trPPznP0itLWX19NUsuL+GfM//QY30PXP52odGiRtwIuvHyg3qNEEKw9vpaPGd6svjyYuKS4/Cw9eCrul9Rw6WGvt28i/OYf2k+NefV5ITviUKMuHCZcW4GILMBczqPqVQqeleWHkOrr2cjYiBFqbbsY/eyEPyLy6HhHzwAmxhZPm1XNW9+OTlRtCgY1K8LQOLZU5x7co7NtzIffCoV/NPrLABW1bI3e6ZHD9ZP9Wdt5XE45N+3u0CIjwcDtWBUjR0s+foSFhZw6hT89Vfe+/BJqayMNHoIQFm7sjm2vxp4lUmnJjHj/Ixs2xgfP0Tj0v7cs6/HvXspE3U6jph14AAtsS71fDssqbwUpTwvPaS5R3M6l++c4cH6yRP4OXk0f6l+oGjCvUzLW1eS5WqOiX7ExkJUSvJFLt7jGeg8twOujeX3aLLhIPZbVAMyilKpnRpqkzDUJjGpwkbc95yEwGq5ruv+vvt4+lwB0HtRZcWT6CcAFIs3wN08HJu822Ix/6QnABVvyWuCiYEJwbHBaFWGODcpT2S1puRgKQWAU2W5vYZhQQAcK/kx3dnIvVq9clzOvXEpurGZS+bSD+o0DWjQIOu2J0+C678/EKh2gfv3YdYsZs6EzZth3jw5+F7p0hAfmci5b1bB/Pl53QWZsDC24MaQG3xc7WO0QsuHmz/k54M/cz/s/nP3+bqQoEngyMMjjD82nl4belFxZkUsJ1hyLShtaENDtSFJ2iQqOVZiXPNxXPniCo++fsSPJX9kYouJWBg//4iZLwtLY0saFGvAV/W+Yk33NQT9L4i9/fbydb00w86jD49S7N9idFjZgfU31mcQ1xQU8sIPB34gLjmO6i7VKW9fvrDDeeUo5XsKCoWATaemBH3tiJMmmOC1h7Du3Yw99/ag0WlyzAbIjvULIhnIJgBsv/mEgJgA/fDoA2oOKNDYFV5POpfvnGUZgNn3Q5ges4TFfMI//yymR4+Xs/4ETQK/Hf2NSScnsa3PNjqU7QBAx3IdMTE0wcrYikRtIo+jHnPc9zjXAq9x4emFzA9YbzFanZYhO4cw79I8AKo5V2NGhxk0LNYwk7dOt4rd2Ht/LzeCb9B8aXOmtpvKkDpDCiPsQuNKwBWO+x7HQGXA57U+z7V978q9GX1kNPvv7yc0LjRLP6ING6Qw9U5HOzznh2P96AG3b3hwpIE/1knwXp18OptnR506sGoVj6+eoN6CsZgYmBA7MjbTCKiq89JUSp0iYmWJoSGfDYSBgwomtOehWTO4+8l4XGaMAi8o/uc5WvxYh0WL4LffwDiX9x4aDTyStl2EaqWvT6kiOQhxQIeyHfhq71ec9jtNcGxw1t4ajo4cOw7OzulKCdVq+qjXEg3cLZ2vzdRjWb8ynAW34AAOvXuNZ9VAHx/oz2KKCz96HbmE1R0PRjcdTTGbYhzyOcRly7O0dIbigb7c8dZS98JcbIjCXdMHKJGnGOztwdHGCvxAZxgDXp/yddd3qORUKUO7eXdWcasNDPQCJ38zEu9VgcTcBTBjFzvK3YZ3fK2o2Cr7rLVUv8ui46fDlItkcJXPBR8zKUq1Ph3JgXEHqORUCRdLWa63aVMeO0k1lgqSotRnn8ksvdy2r6a0lMLh/hkArpo34JtsnvNq1gRjO0t+9vudBQyEb7/FqF8/unRJ+9x//hksDu6l+YIPYGMR6NUrfypjOgzVhizqvAgrYytmnJ/BhBMTmHBiAg2KNuDEpycy+E+9CRx5eITxx8dz/NFxErWZxZibwTep7lIdkIOztCzVkspOlfXzkwvg5eyrxNjAmDal22SYdtLvJDqhY/e93ey+txs7Mzs+rPohA2sOzHTMKuRMQgLcuQM3b8qfe/dgwgT0AvbixTB+vBxzQKcDU1OwsZHlvsWLw5dfpo2q+aZw9OFR1lxfg1qlZnr76dn6Lb7VCIXnJjIyUgAiMjKysEP5z5CUlCS2bNkikpKSCjuUF2aT62AhQFyr+6lYcWWFYAyi7LSyQqfT5buvUcUWCwEi1NVTCJ1O/HniT8EYRIMFDQo+cIU3i9OnhQCRgLFwxl+cPl3wqzjjd0aUn15eMAbBGMTIAyNzXeZJ1BOx+dbmDNMmn5wsHoY/zDDtbTrmdTqd+Hz750I9Vi1GHx4tEjWJObaPTowWvTf01u/XpZeXvqJIXw9+2PeDYAyi+7rueV6m4oyKgjGIrbe3Zt1Ao5G/dTqRbGQqBIiVo1YLxiBMf0YkJ2oLIHIh1n5zUggQMXbOwmycmWAM4m7I3YyN4uOFMDISAoTw8dFPHrJjiCg7razwnOkpfCN809rrdEIEBRVIfPlm9mwZJwjh6iqSEnVi0CAhDh2SYeWGj48QK+kj9qtai8TTp4VPuE+23//0x3z1OdUFYxBLvJbkvAKdTojkZPE06qnw+LekYEB9AUKEh+d7S4UQQqxYIcQ9SokII3shLl3KND82LEHoVCoRb4hQj1ULxiCeRj0VQgjRfV13wRjElHqIKCxFncldRLFvDMXW8oht/zuWrzgGbv1MHv9NfhNmZlm3abSokWAMYr0nItSymHhIcdFevUeEhubc976xp4QA8cS0ZI7tUo+pAyUR1yr2yFf8v/S8IwSIREMzIbTpjq05c4T47TchbtzItY+738wUAkRw466yj6CgPH3pAgKEMCdG/739oIlvju2XLxdCjUZcU1eRy6xenbmRRiNEhQpy/rhxucaQGzqdTiy/sly0WtZKqMeqRcdVHTPMj0uKe+F1vAwiEyJFcGyw/v+dd3fqr1Ouk11F7w29xaQTk8Ru793iSdSTXO9r35br/N2Qu2LkgZHC/W93/f5gDKLhwoYiKKaQzt1vCMeOCfHxx0KUKSOEWp12uUn9OXIkre2UKZnnp/85eDCt7d69QnTuLMSMGRkus68VydpkUXV2VcEYxBfbvyjscAqcvOolb5YUr6DwNtFDmo8Xu7iZTiXbYWpoineYN5f8L+W7qyGn+rFxwC6M/54IKhVXA68CMKCGkiX1XyM8PpypZ6ZyK/iWnFC/PjRogAlJbG41K9Xio8BYe30tTZc05U7oHVwsXdjUcxPjW47PdTk3K7cMmV377u9j+P7hVJ9bnZ13dxZskK8JKpWKmR1mcqL/CcY0G5NrWa2lsSWruq3if+/8D5DmuAcfHHwVob4WjG85nt0f7GZEoxFZN7h5E25kLP9MNYo/7Xc6c3shoGxZaNIEfH0xLCNfuxYJlOWRFklqDI0L5rboeFR1NBhgERZIBRuZrnMjOGOsP7S5DMnJaOwc5ehgKTyJfoJ3mDc3g2/y16mU+rgzZ8DVFV2LlgQEFEiIuZKcDG3bwrFvNyOGpGTpjRoFjx5hZKxi7lxo3pxszabT4+YG3R2O0krsx9jAAA9bjzyVlXcqJ/0Qt9/dnn2jX38FV1dYs4bguGAeRvpAkQcYGZGvUrP0dOwIxlcvYp0QDDVqEJMUQ0BM2o43D36ESgi83c3QCR02Jjb6DKDi1rJ0z9cGrIjBJ+oKfrYaLJOgfpu8Z9bcW3cJy5myDL+r3SQ2ZGORnmqgfc8Optb2Y1dtXxp2c87JXx8Ai6LSCN0yKeeR91Izpdyj4bx//jIJHeuV4gaeXHZsDdHR+um6RYvl53brVq59HPOWHkK6m7dk3aSTk8xQ0uU8+pmzMyx/Z47+/7Itcvbz6tsXatQyoJVuH53Yyh8PsigPNDCQxwDA33+n1WU+JyqVin5V+7H/w/0EfB/A323+1s/zDvWmxJQSzDw387UoBYtIiGD5leV0XtMZp7+cmHxqsn5eq1KtmNRqEre/vM2T756w+v3V/K/h/2hXph1uVm7/mayPsvZlGd9yPI++ecSuvrvoUqELBioDgmKDcDBPy7p7HT7PwkSjgYMH5eGcyu3bsHSpzIrS6eSAGg0bwsCBMHlyWpYU0dH0ah7EuW0BXNj6BK+tvpzcEszW9UksWCBPK56eaf3u2AFbt8LQobKPRo1g1iwIDn6VW5wzU85M4WrgVYqYFuH3Fr8XdjiFhiJKKSgUEu/82Bh/XLDRhhO77ozejHzVtVX57sulqCHvL2iPZR85RO6Kbiu4MeQGvSrn7Lmg8Pbxxc4v+GbvN8w8PzNt4rffAtDg8mxsjOMLZD1CCP488Se9N/YmUZtI5/KduTnkJl0rdn2u/krYlKCeez0iEiLouLojvxz65a0Yclmj0zD7/Gw0Oukyb6A2oEGxbIxNskClUjGx1UR6V+6NRqfhy11fZvC2eZsxVBvSrkw7arrWTJuYmCjz+CtVkj9Vq8KuXfrZDYrKfXv6cWZRav6P98DHB3H2rHywTRkKNcLvAQAmGrMCi71GQ3NuIEs2Kunkw0h6/7T4eEg+KUv3kmvUy6DsjGg0gqntpgKwyGuRNKEuXRoCA1Ffv8bwj1/N3fSCBXBiXyzlpw1BJQR88QWMHQtGKSPFXrgAn38OYdn7EaVirI3HOCTFBDg3E6F0vFdeXtP23t+b7YNc8J0wCAxk28SbhMZJY/KK8UHsV7fJk2CWFTY2UKyKLSq1irkX5mL1hxVf707zj0k1yLpZUX62no6e+gfv4jZSlLrnZE28IYSqHso2weBYOu+i1JMICyxTqpo2V4/B3fhhlu2KmEpx6aoz/NYMxjVV8em/OZucA1h7SNXKWheBTpN1+VRUYhTRSVJMco+CBLv8iVIVqxhSmRt8bLM1g0IYe13uv6XHcv8uRNRoThxmOIXeho0bAYg2siMqJvdHmG77vmCnRU/6sTxbP6lU1Gr58BuIC9vpxNlzWX95dln14pFZeQgPhxnP+J0lJ+cqlmWHo4Uj5ezTxoqcfWE2wXHBDN09FOfJznyy5RMWXlrIjrs78PL3Iln78kvergRcYe6FuXRc1RGnv5z4aMtHbLuzjURtIl4BXvp2xgbG/K/h/yjvUP4/I0DlhIHagPZl27O512Z8v/VlaZel+v0SnxxP2ellGbR9EN6h3oUc6asjOVmO4DpwILi4QKtWGUt427aFH38QHFrpT+i6g4SNnc6JKoOZ5/8e338vy/IA+PxzXKo5U6eTK7U6F6V65xK808WJTj1MGDDMkrGf+eGSOqDnzZt81eQKE8bpaNJEXmZPnpTlfa6u0KGDPIwLk4cRDxl9ZDQAk9tMziBe/tdQRCkFhULC2c2AM0W7AxAycy19KvcBYM2NNQXy0Onp6ImlseUL96PwZvFZjc8AWHZlGTFJMXJi164yEyMkBFYUzEg/u+/t5qeDPwEwrN4wNvbcSBGz3Icgz47yDuU51v8YQ+sMBWD88fH02djnjX6jKIRg6K6hDNk1hD4b+zx3P2qVmsWdFzOgxgD29tubyZfoRTh+HAYNkoNk1akj/Xvj4nJf7mUjhMh6xjffSHOXmzfl/zod9Omj/795yeYMbzCc4e8Mz7CYTgdXZhwHILZyPTn8e4oodT1anieTLF585L1U6tSB61QmSOWEp0p64twMuamf7+UFtXXS5Ny0SV2CYoMIjpViU72i9fiq7ldUcapCbHIs8y7OA0dH4kpJDxajM8fJbvcUFLGx0itqGFNx1gXIfTV1app4JoQ095k3jy3dljFuXC4dpog462uZ0vfo19mPqPcMNV1r4mrpSkxSDEceHsmyTYKdHDo7wcefsHgpkNnFg9rEKE/ryI2i1tL8Pv1oSIcWSCHzqrsUMtOPJFjMRmbk+DqbstvBA6ES2MWBcwz5St0ydbSi822oFAR/74WqjVyybJeaKfUg5fRrZ2CJa9HczxE2HkXwswa7H8FmUtbn7qDYIIwNjLFKMsAqCXRu+RsIIDVjwdsbkpJSJsbGYhUn/aGSiubsKwZgU8KW9UgzRN08aTB+JbxYnsaICYq1oGPsWlbSj7o52Lal0qyZzJgyNIQR2SRoTp1hwMj4lGypn3+G0+kE8FWr5NPznj25rywXJreZzPT203GzciMyMZKlV5by2fbPeG/1e9ScV5PQ+LShL68HXedW8C0eRTzCN9KXS/6X2HRrE/+c/idDRhNA/639abK4Ce1WtKPr2q76kXH7berHwG0DM7R9f937fLHzC3Z67yRZl4ynoyejm47m2uBr7Pngxbfxv4CblVuGF1E7vXfiF+XH/EvzKT+jPD3W93iuCok3ASHkyK1ffCGFqLZt5cuO0FDpmafXL/fupfi4QUxcV4rmH7hh17MVqmFfw5w5MtUpfVpTqnmgWi0P1PSGhnFxMkUylUmTKNujOiOmOHPUrQ8h01Yx/Y8YateWI6jeuSMzstLH+6pxNHdkSO0htCzZkv7V+7/6AF4jFFFKQaEQUfftwx3KcSCwCu3LtMfGxIan0U857ns8T8sfOii4XKQ5tzr/BGFhxCbF6m/KFf6btCzVkjJ2ZYhOik578DM0hK/lW/7IMf/Sorl40aoD2pdpz69NfmVSq0lMaTelQIQSYwNjpneYzrIuyzBSG7HuxjreW/sesdp8jsH9mvDnyT+Ze3EuKlR60fl5MTU0ZUGnBZSwzZtJcl7x8pJC1O3bMvFl0CA5etyOHQW6mnwRkxRDxZkV+WH/DyRoEtJmnD4tb1KByHHTWTAhiCdlmiBiYmR5G9I8+682f9GxXMcMfd6/D5XizwNg1lw+IMS5yAfi+DBZnlTM2arAtsHTE4aaL8ZZBGJV8QNAmv2mcuUKrKE3W0t8hapNayafmoz7P+5MOjkJkBly3zX4DoBp56aRpE3CuLksTawQdVZvGv6ymDIFAgLAys4YYWEBv/+e8eZfpZJPGkD5o3OZPk2gzeFdyvpRsqT8eGVbVl9fnSHLIifUKjUdy3XE1dJVf20TQnA54DJjj4xl6+2tmJeW5V028f6EpGRK2cdB9RaZje7zw/Zl4Zx37YRLp2EAeId567M3b++SotR1G/kU4+mYVi+Sminl72zAxSlSrasUDCogQpv375iZkxW1/OH6LPjuNKicnLNsl5oplSpKFbHM25t2excjSLIg3AxikmMzHmsplLErQ8LPCVxcIIU2g+L5y5Ryc5OVdlqt4P7llPK9FIEyHFvcK9nm2keJEjCBkbQucoHgTvKli79B0VzLE0EaH58/L8uC0j985sSyZfIZuF69rOePHi2P3TukZDXNnp02c+9eWZPUoYMcsu8FnnLVKjVD6w7F71s/jn5ylK/rfk37Mu2p6VqTGi419OWiAP/b/z88Z3niMdWDElNKUGteLd5f9z7f7/tef05J5U7IHY77Hmfv/b1sub1FPzLuymsr2XBrQ4a2rUq1omXJlvzW7DduDLnBjSE3GNNsDJWdKisZUc9Jd8/uHO9/nI7lOiIQbLi5gVrzatF+ZXuOP8rbvf+bQmioLJebO1cm1Do5wRefC04vuEHAUx1Dh6Y03L5d3og8fCjFprJloXNnqQwvXy6dzFNZtky+ZdJqZfpVYqL8HRoq1e/01ykTE7Cyki9k16zB7qsPGPq7M+fL9uXxnB3Mn6vTC2OJiVC3Lvz7r8xkflVYGFvwV5u/2Ntvb+ZjqjBUskJEGX1PQaEQaTi8AT8E3aZXbxXGBvJitdBrIauuraKZR7Nclz/9z2l+jjhCwu4LYPorK64uZ9ieYXzf4Ps8+foovH2oVWq+qPUFw/cPZ/aF2XxW8zN5oRswADFmDFcjinP5SDiLFtnxzTfPvx6VSsXY5mMLLO70fFjtQ1wsXei2rhtHHh2hRvEa9OAlDRv4kth7by8jD44EYFr7aXSr2K1A+99zbw/2ZvbUca+T72WFSHtD2batrO5s1gwe3E5i+lxjHjyAnj1lFlWtWgUadp7YcnsLd0LvsPn2Zv5s9WfajFq1iPhuLEfXBdF11FCEAHs2MuXDS/T7tE32HSIFt9pcAMCgbi2uBV7jYdFQ3gOsjGVZmUuRghOlDAzAs7oxp05B0pMKANwNvYtO6FCr1Ny8CTt4jwo93qNDnWSW/duFZF1yhvKdPpX7MOLgCJ5GP2XDzQ30faceLJxHPc5y5gx4eBRYuBkIDYVJKc+xJaYPR9Xqo0yjzwHQty9i+HAqxt6mQvAxzp1rmmWJVHQ03N90GYD7TiZA7iPvpefvNn8zp+Mc/Yhk3dZ1Y8vtLYAUsgOrrAPAVTzlZFhappSVRx5Uixy4/dSaNgF7MQhKwkhtRIImAd9IX5yMPXCIk6rgPZsYEFDRMS1TKlWUCooLIKnIZUCW7sVhRnSCEbZ5XL+5o0XGCc5Zi1KpmVLBKc3tHHL2TtL3bw5XllxDdbs0AkF4fDiuVq6Z2qmAEiH+AJiVyZ8opVLBT3UP8dXR91EPLA9XziAe+KACfCiZp0rOZs0g0rk8BwLh5t6VOAORVsXyVJppaAi1a8ufvGJgkLOA9c470LK1AZ33b2VMzW3EFu9B03tQpgywcKFU4ebOhZEj4do1qYgZPX/WnlqlpkmJJjQp0STbNipUWBlbodFp0AotRUyLULJISTxsPfCw8dCfdwD+av0XT6OfEq+JJy45jvjkeBK1iRgbGGNhlPE7N6fjnKxW93oiBAQGyn1tZZX7kKCFSKPijWhUvBHXg64z8cRE1lxfw557e9hzbw93h96lrH3Zwg7xubhwAQ4fhv9JG0wcHOS9hFolGNr4CnUebUC9aQPMvQMVTkjTKID335efV6tW0vPRMocqD3UW+TSGhlKBflapnjtXltiePSuzF9eulaZVq1fjfuEC7nfe1TddsULGf+GCFKamTJFFBi9Le41KjMLCyEL/QjfTi93z52Wd4V9/QdOmLyeI1wxFlFJQKEQcHFUsWpz2f5/KfVjotZB7YfdyXTY+Hpz3y1KsyBbdMDU3Z9HlRSRqE7McCl3hv8Mn1T/h50M/4xXgxbkn56hXtB7Y2KB68ICbGx0I/0JW4nz1lbwBzytXA6/y75l/md5++ksvDW1dujVHPznKOb9zuPpnflB6nfEJ96Hvpr4IBANrDmRo3aG5L5QPllxeQv+t/SlvX56rg6/myTA6lfv3ZdLcxo3y5WP58vDPP8g3jyNq8HXNSvzg+DV/n23ExImwfn2Bhp4nVlyV57V+VfplfHNobMywkF9ZJhObqFoVrl514MPlbTDtBN1lNTQxSTGc9jtNbHKs3kzf62wS3ZDZOqJWLarOkaV6l53B3kQKDNYRBft6tFIlOHUKQu+V4t93/6WiQ0VZlqhKqz6sVEkKjIGxgTiaO/Ju2bSbZBNDE/5o+QcqVLxf8X1Qy+tCbS4w+rSG3r2zvoVbcGkBO+7u4Nemv2b048ojEyZI/+bq1aF3b0DtlHVDa2tUffvC/Pl8zly2b89alLp2DapxBYBH1kmgzZ8oZWWSUSw89+QcJgYmGKgNiEuO46z5U9oCrvjjF5KSKRWPrA95ASpXM8CbslTW3aCsiSs34325E3KH2EQPerOG0db/oLNpBhEZy/cczR0xMTAhUZvIvgf7AFmCF4U11nm3lMLKRk0MFlgiM0XPPXQiqwq0VFEqlSLOHnleR4NeJSkyqQhh8WGEJ4RDjCvh4RmNgtFoWOA2GvH4MUU93fK+ASmMmOIMlSPA5yYIQdwNHyyAB5Ti3TyEamQEn3wCf/4JwZflwZ/omL8ywoJm9GhotL8CfS5VgEvweUhKEqeZGSHj5nAuqBbtd3yJavVqmcWxatULCVO5seuDXbk3SqFh8YYvLY5XQlycPLE2biwzYQCmTZMfSkREWjsjIyluWFrCypWyPUiH7cWLZdqOq6s8T5ibg4WFrGMvXfrlKRHPUNmpMiu6reC35r8x6eQkQuNDMwhSYfFh2Jm9mLj+Kjh2TJZ7H0wZh+Xdd1POIf7+rKi2AtWSxbAy3aAGJibyIpgqSjVvLn9eBkZGMl2rUSOZ8XvhgjweS5ZM+5yTkuh/YjB2o4YybEkN/PykTtaunTyuSxRsgjpCCD7a/BGBsYEs67IsaxHy4EEpTC1a9J8RpXjp4wC+xeR1iEOFguNtGTY2E/HxQmzcKDThYeJGUO5DJAshxPqViSIEOyFAaPfsEzeDbgrGIAx/MxSBMYEvOWCF150PN30oGIP4ZMsnGabHxgphby+HzV2zJu/9RcRHiDLTygjGIIbsGFLA0WZP+mM+PD5cRCdGv7J1Pw9xSXH6YezrzKsjEpITCnwdoXGhwvkvZ8EYxKQTk/IeW5wQ1arJz37hx0flkOypnDyZYUzlw++MEPHxBR56rvhH+wv1WLVgDMI71FtOTE7WDwEfFyfETz8Jce6cnPXNNzJkMzMhbq6/LsS1a2KP9x7BGETpqaX1/X5W86IQIBIsiogbgdf1Q3WvKjZI+FsijhVHXN27vEC3ZcoUIXaYdBXhNsWFuHcvw7zm9ldEQ46LCwcjRLe13QRjEN/t+S7nDjUakWhqJQSID6tezrLJhGMT9Nu2/Er+tycwUAgTEyF+YKI4O/FQ7gucPy8EiFjMRC3PrIevnzlTiLX0EFGG1sLsN5OMn20W5HSd1+l0Yrf3bhGZECn6b+kvGIP4YetQ/ff24/mjRfH/WYh/6yPufzcjz9udFY8fC7GBbkKA6PK7HK576pmpYvt2uboaNWS76MRoodVpMyy7x3uPuPDkghj0VQNRfwDi5+JtRD1OC40m7+uPjRXiKS76bdv5wcos24XEhoir53eKj0dUzNv36BlKTy0tGIM4/ui4qFJFru7qVTnvr5N/ia5rugrHd3YIEOLs2Xx1LUlMFMLAQHb8+LEI6D1MCBCzLIbnuQtvbyFAp98X895Z/ByBFCwdOshwypUTYulSOU2rFaJFCzn9lxo7hM7YWP4zZIj+HKaQmSyP+YAAIbZvF+LPP4UYMECI9u2FqF5diNR9evRoWtuFC+U0lSrDdUz/c/x4Wttp07Juk/qzMt1xFhQkxM2bQiQU/HU8K3TpviMPwx8KqwlW4sudX4qQ2JBXsv78cuxY2vcdhDA0FOLDD4W4f18Icfly2nEPQpiaCtG1q9y/r9tz8/Ll+jiTu3YXU7+4qf+aWVtn/EoUBMsuLxOMQRj9ZiSuBFzJso1OJ0TkgXNC+PkV7MoLgbzqJYqnlILCa0BsrSbw/vsEzt2RwZsiJ+5M2Y09YURZuqJu1YKlV5YC0KFsB5wssnmzrfCfYXDtwRioDNDoNBlMo83NYeTHT+jKpjxbXggh+GTrJ9wLu0dxm+L81vy3lxh51oTFh9FqWSs6re5EXPJr4MSdDZcDLnM39C6O5o5s7LkRE0OTAl+HnZmdvqztt2O/4R/tn6flhg6VXkZDrZbQf1UrOXZyymhWvPMOXL4Mn34KQLNTf2C6cuELxxoTI/2qNJq8tV9zfQ06oaN+0fqUsUsxHp80SZo97NqFmZm0aqmTUrX411+yPGBFtb+o2KMy/PabzAwE7offJyg2CJ1Ojjy/lU7EN+vA0UfHAGju0ZwpzrOxjzGksS9UqViwbyO/+grerfAA20jftNQoZJbr12IKJ2hMpQP/csjnEEDuo6UaGBDb+zP+Yjjnb1ulGUenMPrwaEYekiWj7lbufFDlg3zH7OQER2ff5A/VSOr+1AJu3Mh5gVq10LoXw5x4XG4eTLULysCVK9CLdfw8/DbxukTUKrW+xC2/qFQq2pVph7WJNS1KtgDgUMAZnpiV4TT1aZ/0FdsX1uGbM/Aw+sUypdzcwMe4PAAlAmVK6d3QuzyQdlKpPvlYGlvqS6NSaVumLbXcatHxYidOL4RqvtbctKqfr8xUMzPYQ3v9/wbFss5Ssje3p0rtDhjVl1kH+Rlw4tL3KzH2kQaDARHhXLsmp8+bJ38f9z3O5tubGfOvH0+eQLVqeY9fj7ExomxKJsDNm5x49w8qcIv9Fb7KcxdlysDlyyq21RvPWeoSUL/LcwRSsKxfLxMZbt6Ejz6S09RqObqYmRmM83qXzx03I4yNZUZOalZGQoIcdizxzR3Eo0DRalFdvEjxgwel83QqmzfDe+/Bjz/Kssjdu+U1KikJ3N2lT1AqnWCvQQUAAEiSSURBVDoRtNeLtUsT2LA6mf3rwjm30Y9bG2/it/EcgS7V0nZ3o0bywjF8OPTrJ/2/mjeHmjVlBk/6mvXly2XKj7m5TCv+4ANZ13X9+kvx+0mfGbz59maik6KZeX4mZaeXZcqZKSRpk3JY+tXh65tWaXfokExGGvZpNL4bzrFsWcq5sUoVaVDZoIE8oQQEyO99377kK2X0VVC3rvxsVSoMN2/g6wVVCeg3nFb1oomKkl+/5xxUMxMPIx7y1W557hvddDRVnatm2e7sWSjRvQ7TNxduVugr5ZVIZG8pSqbUq+dtzZRaWW6MECDulOmgnxaVECXikrJ+8xwSIsQGVXchQAR//L3QaDXC7W83wRjExpsbX1XYCq8xOp1OBEQHZJ7h7S10hoYiHhPhSKDYuTP3vmacnSEYgzD+3Vice3yu4IPNgdRj/qzvWWE1wUowBtF6WWsRn1wIaTx55FrgNXHs4bG8NY6LE2L9eiGGDZM/338vxKHcM1S0Oq2oN7+eYAzio80f5do+9UVgB9WutDeXPXvKdIxn+fVX/WvPpL2HxNKlMlkpr8THC/G//8kMgtQX12XKiDz1U2tuLcEYxIyzKVkuyclCFC0qM0IXL81yGZ1OCHHxYlrKVFSU8JzpKRiD2HZ7m7h3T84yN5fd9VrfSzAGMebwGDHuqwDZNyohXsZ1pW9fIUD4TfhJrLq6Smy/s11Or1dPCBB3l08VjEGY/G4iEjWJWXbhHeot/jj+h1h4aaHQ6YT44AMhJk4UIjpd0uBhn8P6DKk/jv+RYfm4pDhxK/hW3mPu3FnusK5d89Z+yBDhb1Jc9GaVmDo18+y6dWV3YxedFIxBFP+3eI7d5fU6/yTqiWAMosjEIqLvx3HCxkaIuXOFWObyP7GPVuLYpNN5iz8HxpRcIgSIVa2qic+2fibWXV8nJnx4U6ylh9jZ5I9cl9/87VEhQDzGTbi75T9T5vZtIZyd5f7bsSPntr4RvuKk70nhE+6T5/4Plhog2vST35tpR5eK5hwUA5gvypXVCZ1OiJpzawrGILbvnS5ERES+4xdCiKdPhdhsIDPONL+PFwcPyq/YyJH576tTJ7kvZs9+rlBeGZcvC1GsmIz1A/fDInDPpbSZ69bJGQ4OQuzdW3hBFiZxcXI/9OqVlroNQpP+BHL9uhBVqgjRu7cQY8YI3YKFImbdTnFq6V3x80idaNlSXjpT2bQp5wSoSemSim/dkklX7dvLzJ5Bg4T49lshFsxKFJcu6tIuBSNHCmFpmXWHpUrJLKqXyMEHB0XV2VX15/ay08qKLbe2ZMioKgxiYoRwchLCyEiIYf0jRfj3vwtRpIg8WcWle255znNGoXHtmhDvvaf/jHWurmLdR9sLLFkpUZMo6s6vKxiDqDe/nkjWZnFDtHu3EA8eCCFkAvvChQWz7sIkr3qJIkq9AIoo9ep5W0WprZNuCwEiCUOhCw4RP+3/SZiNMxNLvJZk2X7h3+EiHhN54vTy0per2P1p91LKhRTeInQ6/VPiOEaKRo1ybn4v9J4wH2+uL115Lvr2FaJ5cyHatZN/z5gh60PycGOV/pg/8eiEsBhvIRiDeHflu9k+xBcG+b5JDAqSJQlZ3fDu25enLs49Pqe/WT3tl/0DeGiofP4pzkMRayZLfsVnn8lak6w3Rj4IgAg3sBM2hItly/K2WfHxQtSsmXFzjIzS/q5bV2RbwpS+BDkoJkhO3LhRCBBBOIjmDeKzDVnodEKULStXsmKFGLB1gGAMYsSBEUIIWS1w8aL8nFwmuwjGIJoubirGLRwktpVDTK+LuBZ4LW8bmR/GjRMCxOLBDQRjEC2WtpCxWskyvOW7JgrGIBosaJBtF8uvLBeMQdSeVzvbNh9v/lgwBtF/S/8M0y/7XxYl/i0hSk8tneO1ITY25T741Cm5D9XqvD9wxcaKyX/phJubyCRKaTRCmJtqBQgxbf9GYTDWQDRb0izH7vJznb/09JJI1iZn+E6VKCE34fSLa1JidLszQoCIsnbTT5tYW4oKn/dwFc2WNBM772ZW9q8FXhO/HvpV/LR0vv7LP9plznPFkNv2RCdGi9+O/CaG7817OVwq+6sPFyNaImoPLS523N6uj7Uj28SlS0JfJnzJBfnk/hxotUL8YfhL2kngBXjyRD6oPXnyQt28Eh48SPvsSpcWYtGilBlLlwrh7i5nGBtLNeW/QkCAEF26ZLru6aytRWC1aiL5GU+BGzekcFSqlHzf8Oyl8s8/09o+eiRE48ZCNGkiS2vLlhXC1TVtVemFzL17cxawfvklrW1IsE4cWf1UBC3fI3S//S7vY0xM5FuO9AKMl5cQYWEFvss0Wo2Yf3G+/lhkDKLDyg6vVJi6dEmIr7/OeMtwcHOkCBs+TopRqTuuXLmXLtS9EnbtkgctCFG7doYN//33jJWj+eHbPd8KxiBsJ9qKh+EPMzcIChLC1laeFwriAvaaoIhSrwBFlHr1vK2iVFSUEJdUNYQA8WjkHPH70d8FYxCtlrXKsv2BFf5ii/sQ4Vu6qRA6nei7sa9gDGLozqGvNnCFN4LbwbfF9cDraRM2bxYCRLSBtdizNiJbbUir04rGixoLxiCaLWmWyTclS06dkg/i6WndOus7v/LlhZg1K8f0mWeP+SM+R4TZODPBGESv9b2ERpsPk5aXhH+0v6g1t5Y48ehE3hY4cUKqRKn7oUQJIb76SogRI+RP+ju/DRvkPs2GVF+dRosaZXuT+vnnQhiTIK6Z1k67ycrNIyM+XghPTxHiUE5U5bIoVy7v2VLffy9ffm+e7S/Cl28XCX/PEHOGewtPz5zvs3zCfcSXO78UH2/+OG1i8+ZCgBjPCNGtW/bLarVCPPokJcOrY0cx78I8wRhEm+VtZAaUn58QOp24E3JHf2PPGETp4caic2/59+zzBZ9+sajTZiFA7K1TXjAG4fa3mxC+vvpMNN/ge2L+xflizbXsDd78Iv0EYxDqsWoRER8hRHi4FC5jYoQQQsQmxQrLCZaCMWT6DkYlRAnXya6CMYiJxydmu47hw4WwMNWIwFIyg0sMGJBluxOPToi7IXczTU9IyFrjvHNHiGX0E/dVpYRm3QaRrE3O1R/lRa7zdefXFaovagqK3HvWxuu5mDQyXERiJfxc60hvJCFEzKiJQoCo+4ODYAxi3fV1mZabf3G+/jv2S3N5nCepjJ4rBksLnVCjEXcz73YhhBCRCZH6deU3g3R/iwlCgDhZvr98IEo5Jy3hI/H9D4n6foPMEafbj32u+IUQ4rvSW9KyYbwfPHc/bxo+PkJ4eMhN79s33YzERBHRRma7CwMDqa4EZJHZ/Kah0Uj1f+pUeQ6pW1dmAKcSH5/mM1SihND9+JO4s/ikmDguQTRr5isaNtSKuXPTmqdmuab/cXMTol8/IebPl+eXvKDVZnwZEhIidYcFC4T46y9pr/j990K0bCmEjY0QW7aktd26NW3dLi4yW2/O5GjhvynddVmnE6JiRSlW9e4tVa/8GMjlgaiEKDHiwAhh8ruJ+OXgL7kvUAB4e+vfTwmQyW0iKkqI8eOFsLNLm1GhghCrVhX4NhcqqSnf6b5kW7boL91i1qz82cRtvb1Vfz7dcmtL1o0GDRICRKJntbdqXyqi1CtAEaVePW+rKCWEEEsr/ykEiHvFm4n7YfcFYxCqMSrxJCr7V4KpJ0T/aH8x+eRkcTXg6iuKVuFNYfb52fo3a3q0WiE8PeXVdcKEbJf1DvUWjpMchcV4C/EgLJcHieBgWVeUepOS7m1Z9IEzInLeapEwd4nQ/va7FKnMzWU7T88cr+xZHfO7vXcLo9+MBGMQA7cNLNRU9iRNkl64qza7Wt6Eu+BgIZychK5qVXHx36Ni0ECd8PSUuy8D167J18NGRkLMyTrL4nHkY+E501OsuLIiy/0QFiYFoon8IPd3kSLySSkvPHokosI1+nvPFSvytlhSkjSJFkOGpH0fDAyE7uOPMxl+58j16/IhFrUoxiNx8GD2Tf38hKjATfnW3chInLohs0fd/3aX7swgROXKerGq5JSSMitrjIFo+om8UVx5tYDdTIUQP/e8KwSIQAtT/Q3pj+9sEAJETAnPPPeTOsjA9jvbhShZUggQR389IIQQIiA6QHy65VNRfU71LL8DqaaqFuMtxNOop5nmX7woE6OGkmIAbG2dZSrK1DOy1NBgrIH4Zvc3UiBLT3KyTFd4huQKlWS/eakVFs95nf/zT6ErXkwYjTaQ+9nmkYiKyvvi2REfL4RWI/dpbFKsuBZ4TUR90V/oQNiOlp9pVtfdvff26j/vH+q5CQEioHyTfK8/oEQd/TEUGpp1G61Oqx8c4Mf9P+bLFPlQz9lCgDjr1kXE3fUTupRawWDsRaO23rJse5RK6EDMqPn8dSQf9tWIzmwWjYo9FP37597+bSIwUGpOu3alTbtxQwgDksWl6p+knSNVKvlg/6aRnCxHTenWTSo6z6pI9etnaK5dsEh4zT4tBn+hE05OmZunrxrWaOSl78gRaZ6dVbV5QaPVZnwBs3mz1FzSe3an/tSqJTP3RFCQ0I8SkPpTtKgshc/inPgi+IT7ZBjw5YzfGfHv6X9FkqbgnouePJEvswwN0zanb9+Uy7eXV8YXiytXvlUCSk4kTpoixjXbr9/8zz/P+8s671BvUWNODfHtnm+zbnDxot7voKXxMTFzZsHFXdgootQrQBGlXj1vsyi1fcZDIZDeJjq/x+Kdhe8IxiD+PvV3YYem8AZzL/SeUI1RCcYgbgalS6tONRlydMzxTi84Nljsu5dLOdmmTWmZP2q1EB9/LB4fvy86dUrz1Uj9MTUVomlTIf79LUq+TU1vCpGcnOnVZ3bH/Lrr64R6rFq4TnbNUbjNiuRkIfbvF2LUKCH69xeibVs5iszzMGz3MMEYhPUf1uJ28O3sGz4jFhyffU2ULZGYYd80bZqxedfW0cK/SY+0BtmoQrmJcoGBQpzr9ofc+elfAeeRlAo0UatW1vrho0fyBV9cnMjYYPFiISpVEqJRo7RtsLAQ4vJl4eUlB1bKkW+/FQLEJrqIihVzfyvZuLEQtygvBIjwzav1osCfVf8SAkRyq3biQdgDMfXMVLHq6iph/LuxYAzCcbyt3n+qoJn6j0Zfau08UWbWDCzzjRAgQlp0z3M/A7cN1I+sltS1pxAgRjBePE2nMWX3PdDqtKL+gvpZZtMmJ8tSF0cCRZxhSp3LrFmZ+lh5dWWGDDPGIFwmu6RlTR09KkSRIkJXvYbYsCFd1lRcXIaR1/JCfq7zWp1WfL79c+Exyk4sqZYW2wMjB6HTFqxYnepTtrdHTRFogf7FUVbej7eCb+ljqdlsjfiL78WBeffzvc7Hxv9v777jo6jWPoA/mwoBEkqQEorvVUQQIYgEQbyCgqAUgauooDRFUUARFQUBFxABEaQLggiokV4FpYRepJpQBATpBBJaerLZ7PzeP052Nkvabkh2Ifl9P5/cK7tTzs7umTnzzDnPuV+vO9kOXQVQdlxZfX85zWx4ux3vLwJE8FfAU3iqdRTKBZiRHKAiBTsWT4AYBVUHqvG309v/4XT5rb76ynYK8PBAtr2+ior589PjUGLB0ubToDVMDz6eyzCk5/z5u3ecYsZzTVqaGidn/YL9/dXUhMOGIWnBYvy1+B+7EekxMapDUcZLwgsvWPD668fw889mhIe7/uM4IjFRdXIeN05d0qz5Ek9YL/uahpubDsDyXl/7IW0eHsCY3PPP5YVFs6Dh9w0hRsHD0x7Gun/W5b5SDlJSgE8/tR8q+WLrFJz64bbxagMHqjZkEQlGAQC2bAEMBmgeHghrOxEG0SCies45GixNNidnnXbCYgGaNAFEEGroAhGVWqqwYFDKBRiUcr3CHJRKSAB2e6iT0ukv5mP6vukQo6D+zPr6MpoG/DHgd1xfuSP7fDBEt+mwsAPEKHhnzTu2F81mfVzB7y9Mwf/+l4cNa5pqoVlbL48+qs8ZbjZnDkhl/GvTJovtTZqkelBlCL7kVOdDD4fi9A3He95ERqqRBFk9nd2XIX/72rVAr162adGzM/fQ3Ny7YwPqxrxlS2DRIty6BfTI8HC8bFmV3mnNGvUA0mrrVutNi4Y/nxyo/uHtrRpGeXXlSp5Wu3YxGf28ZsBfYjINv0tKUnEnEWBhyATVWM3K3r16cu+UyvejSrFrqFbNNopw9sHZ2H5uuy2wkpYGrWJFQATtZJVDTw2nTwd+kJ6qMEOG4Ncjv2L5n/sxy6O7uqkfYj/koebUmnZBli1ntzh1XByxcSOwRZ7GwWJN8PRUlcT9zbr/BURwbHB/TN83HeFXcr8LCz0carseTJwIiGCltMeiRY6VI+xMmD5ZwcVYW9bWr79O70BXWsOt2UuA//0v07XFlGZCjSk1IEZB/3X9sf70er3n1lur3lILRUdDS79LC5KLWLJEdQi8tXG/2kFgIF789UV0XdYVl2JzDk45e52vP7O+3fdYbpAg2iPQsQPjhHah7VSQs2kgtlUXvcddVhJMCXp52nW9BBHgm2+c3+ctnwwnqxxUmVhF39+NpGy6VGVh/1cbcLCSoPxHXvAaUBMiQGSnvoAI1rz7LHxHeKNpT7X/7wblfdjdn3+qe/M6dXIcjVykTJli+2pbtwZWfXfZNnmBxQI0a6byy8ybd3fc/CclqW5DXbuq3EEZyzR2LCyfDsaxefvwzbg0dOig8kBZP1+NGvab6tFD/a1fr0bF3ott+6iozB3bXnpJDS/8/KNkXJ7wK/DMM+oAZIzK3byZb7mnLJoFsw/ORvmvy9vlm3JqYouM27Ooh08iwFNN0nBiyHyVXsDb2/Ee1i6gaRrMFjNMaSYkpSY51kP9TiUn2zXeLjR7A6V9kyCi4knZfaUOPSSYrXIPJnmWQJBcRPv2+Vt0d2NQygUYlHK9e/HC5YzPW+7FE2VPYtky1UPFa6QXxCg4Fn0MAHDooIa/5WFABKa5P+PUjVNoPq85fo5wcFwNFUnbzm2DGAXFvyxuP7Tju+9gKVYcn3mMg4gKhFiXX3JsSe7D4j74QL9An2zdH62fMdlNYLZjh+pAEROj2q8JCWpU36xZ9r1krl9XeQviW/3P1ort2xdITXWqzl+IuZDte+vWqSey1s2XK6faF19+Cfw424yEeNtnfeEFtYynJzBokH0uU6utZ7fqQwiHbR6WfaHS0lRi1/SdfvhmrD5SY8AAPS1QJvHxKlhlfZq+q0p6j6nSpdXUQbdJTUvFzP0z0eSHJkgxp8BkcmgSP8e0aAGIYIh8mWmI4aefqmK9F/Cz7eBGRGS9nZs3gQcegGYw4N3SoRABpk4FbiXf0vOE7b2kgpowmxE+bCl+li4oW9Lk0FCsqCjgcY+DaCEbcO6wui4vXQpESPqwitt6iT3/8/N2wYwDlw84e2Rydfmy7WH5WyvfgRgFFZ55E0NKT8e0pYMgRkHrn1vnup3IuEi9Z86NbX8AopK/dxqwDfsv78+1rmqahv/++F+IUdB3bV8AajiM9Yl4bjP8XIq9hM/DPtcb/9vPbcdzPz1nm00Q0J/0DpKxqFMHaNsW+Kj0HBWIbNFc77EZlRCV476cvc5/s+sbiFFQ5UPBu20EBysJTP9X06F1HTGn7Qr86/sw3nn7YYhRMOA5A75/THL97uYemouZ+2fi339Vp5e8PEeKLlHd6aCUM3n2jv+0H7eKCTyGq3U9/M/ixuqdKog+YQJMZQKR4C2YLP0dHr6bnevX+Sztdj/+qM4N1q+4eHE1DwiuXVO5/6xvVKyoMk0vWaIurK7oQaVparzWzz+rWfIyXkBFMj0gqVs36wdQlSqpZOU5ffeFoW1vMqmAVMbP3rQpsOKbU0hOzPDhBw1S2dc//jjfvseY5Bh8tP4jvU3iOcITfdf2tU0YkoP9+1W8xWrnDg37Pl8Jzfq0SUR9sHxrUOQs2ZyMiKsR+PXIrxi2eRj+t+h/mLp3qv6+9VqY8c9gNMB/jD/un3Q/Ptv4md32crveOEXTVA//9N6/sbVC8IB/NESAX3/NvHjo4VB4jPDA8M3Ds79GX72q2nUi+FAmwMfHuSwH9wIGpVyAQSnXKwwXrpxcv27/8KltaFuIUTBkk5o7eeLratpzk0cxICYGQ8OGQoyC539+3k0lpnuBpmn61N6jt4+2vZGSAly9inffVe2O//4XSDGb8PA0dfOVsSGQpV9/hebpiXn1J+ltl2nTnC9fem5H+PmmYXeLYbaG0PPPI/XWLYfq/O+nfofvKN9sZwiMjlYTnj3RSMPuiXuQ9v4ANW7J2m3Kzw+oVw8YNw47d6q8FtZiPPCAmn3G6szNMyg3rhzEKHh58cvZP6XTNKBPH7URX19g+3bExanp0Hc6mBN99mw1EYuvJON0BXXTj8ceA247HompiXpC6yl/TsHUqUApicXhii3Tk17cgQULABFclCC80DJVv7k4cEC1zZ6VjbB4pU+x92E2+RKsjh4F1qzBjBm2e60JO6ZCjIJHpj9i13Dr3z894PWe40VN74yl30CPGxCpf5HbDq3AnINz9Flv+q7ta9ewPXndway5TtA0vb2JT5Z9q/bV+X9o3RrotqIbxCj4YssXDm3r4WkPo/iXxbHj9GakeRcDRFDuvcchRsGcg3NyXX/zmc0Qo6DTok7QNA3PPw+Ulpvo0PSaUwlbszVvngqWGcrDTxIgAnzv8Q4ggiMfd9PzWuUWQHP2Oq9pGq7tCYOW8W6wSZN8+EDK8PqrARGMaxmkkue/Wgz9X1SJ5Qf8PiDf9pOVcR1245xUw6KXl+S4XNCEIP137IyE68nYG3oaD41R14c59Tyh7VAnJ23DRiR4lMRfUg++knxHnTQpe0eOqOC+tWeRnnvKbIY2+iv7oWDWv8GDbRuIjVVPeS5eVFOt3rqlMlRv3KguIBcyPKwJC1MPGdq2BV5+GejWTSXGef994N139Z7OAFTP5dv3W60atA8H4vCs3Rj8qcWuvfr++yqlVLt2Knn45s0qtuaIwtK2N5nUhLFt29rnoCpbFpgwAeqCkHE4u4+PSgjvaMb2XJy8flLv0SlGwfzw+dkue/26ansZDIDRmP7i1q0qB5i1fGXKqN7wBZzM63ridQzZNAQhs0PgOcIzU9Cp9+re+rJX469mej/jX8Yh6tZJIGpOrYn+6/pjw+kNMFscTAKVk7AwPdF7SvUa+PWrzL1I917aC99RvhCj4JMNn2S/rZQUmIaNxH7fJvAUM4YMufPi3W0YlHIBBqVcr7BcuBxisWD96fUYu2MsLsRcQFoaMKvEAEAEl57sDItmQbVvq0GMgkVHHRzDQUWWdVr5St9UyjSm/eJF1TYSAfrMm6Ty7HxdHreSb+W4zeho4KXgUxBRCTGNRn2CKqf884+a9cbaDvrqiVXQ0rtwWBo2xLoFC3Kt89YArRgFE3dPhKZlHul24gSgLV2W9eNc61+G/virlqeheuVUiKiHxNbeXYmpiXhp8Ut4/PvHkZiaQ2NtrJqlSzMYVEs1j1asUA3HihKJJL+ywBtvwDbOw2bm/pkQoyBwXHkEBsXBKOmz0dWseWddFFJSbMG7JUtgsaj0QHXrApXlEhK8A9R7r77q8H5MJuvoUQ0VR9TRg2kZaZqKp51yPEUOBgywdbS7HHcZL3d4DZMbCa5UD0HXZV0hRsHnYZ8DACbunmjXmM0qCXh+ePJJVaZ5xqV4qf8vkNJnMXCgbfjg2n8cSwB+5uYZve6mNGmGZC+Bx1Avh/MIaZqmz8KZlgZ89hmwwKsnzGUCs0zwFZsSi99P/e74RAJmsz6N9kcyHrXkGNI8VbDym+/VLJEtF7TMdTN5us5fuWJfj9u2dXzdXIx646QazlZD5SAzvFcbA+a+hUrfVCqQGRszyjgEOifWgLSzQSmrzt99CjEK3ugodomZz206hbY1/0FgYIHMdk8ZaJrKdZzxGjpyJPDmGyacn/Gb6tr75JOqjmWsr+vW5XxNW5xhdshFi3Jedn6GIMa2baph0KgRtE8G4dCsfXi/v4agINviGTvPxMQ4nvT5doWxbX/pEjBqFFCtmjpWEyemv6FpsKxZC+2pp2wH0mAAOne2H8N/B8LOhKHbim52D8wux12GpmmwWFSsslw52+7ffhuqQWftOuvnBwwZogKcBeBK/BX8deUv/d9xKXF2wajSY0ujyQ9N0Ht1b3y751u7XswWzYJriddwI+kGYpJjEJcSh6iEKJy8fhK7LuyyG7q4//J+fRII61+F8RXwwe8fYO+lvXc2Sc6JE2poo4jdRDTx8cA/Vy7p5+S2oW1z7b362WeqR3yVKtn3nr+XMSjlAgxKuV5hvHBlcvYstI6dkFy3od3LYevNuCJqZpzUZav1HCGlx5Z2ehpoKnpMaSZUnlAZ5caVyzKHzeTOO/FCsZ/hOVj1AJp1YFYWW4FKbnnlCs6d0+8/UaaMbehfXmmayq/snd7h5uWqe5BWWj2Jiq1WDam5jN/SNA2fh32uNzwafDwcIprKo57xcW5CAlChgppKZskS1Qi8elU9qVyzxr4f+9SpMD8ajHdDDkBEDbPYsUO9ZdEsOQft1q/XM6EaA6di5Ejnpg++nfWhdWVDJI4ezXqZ1LRUPdeP39ODkGAooQeScnMj6QZiU3K4lg0dqneni4uzNmY1/OHdVv0jJMSWIMpBy8adQsuqw/WhpfrxXLcOGDFCjS9z0sKFwJOyA6FVPsbu0HEQo6DyQMHpN0eh4jcVIUbB5jPqTioqIQonrp3AhtMbsObkmqwTkOaDjz8G5lcZDIggLKAjusuPWGDcqf9WHRlikcmwYXpeozKjK+atcR0WZrsryaLrnjXQ++aqN7PdxKXYSxixdQQORaZ3JfzxR0AEN7zKo0+XWGgjRgIvvYRmPzaDGCXbnowZ5ek6n5YGs9i6Jlx+rrvj6+biuympSBUvnCqbPlRkaHH9Zq+gZ/58+mn1kTw9c17u2z2qF96DUx7M034+GTpfryta+vmy9+re6LiwIw5ePuRs1aZ8cOWKfULwRx9VvUZHjADmzFE9rACopxa1a9syb4uo4EKtWmrc3Pr1to2eP6+6kc6Zo8ZOjxunniYNHgx88YV9UMRsxsnDKXjrLfs85iKq13GXLvkWQynUbfu0NHVJyzh75i+/qNxNYaN2QWvT1nZg+/XLfkN3IN4UjyoTq+CJ6S1R79kTtt/UIxb7SV7GjVM95iLz/wFNVEIUZuybgWbzmsFgNKDR7EZ274/YOgLz/pqH8zHn8/W8eiv5Fpb/vRxvr35b7+Fu/Zu2Nw9d+zO6fFklh0t35QpQLyQWpQbV1Xt/Z9uuio/X20xjx6q6vmrVnRXnbsWglAswKOV6hfnCZXViz02YRN2Zp4Uf0V+f0PJ3QATxvuWA1FS8sfyNzMmriXLw15W/su7Zs1oNT+nfwk/dmIyulXUX502bAA8PmO9/AI/95xZE1Oz0WaQ4yrM//1QzKYsAjcsch+m+Kojo3duhOq9pGoZsMNoaHS/2wPYXR6tp2TKu78jj3NRU/SmY5uGBGf/9Eo+8PQ7mNAd6Al24oHftXh7YWz9Od/rQcdSoLNI63NZ4+373QohR4DvYB9F+ovKS5NLA67Ksi1pnlC96rOxhCzBkdPEi4OmJ1Q8JFq/9BqVKAR+U/0V9Ud7eyDZSlp2//4bm6Yk3OqinmE2+7mF7r00btd2hQ7NfPxsxMUD0OyqAFt3lVf238Pvan/Tgl1uC+H/8od949GkjKJXew+k/k/+Tt+1FROB/XduroQlDX856mRwCuZdunMXkdvdlOz7ySvwV+I1W54Nlf2ffy+/15a/bJzw3m9U4JINBnVcA3Eq6qT8Fd2Rigrxe50+WtQ072dc0l2GkTti0CTghDyHVQ2AYrn6vuSVrzy/nzwPdu+d+878gfIHDPdFud+ilL/GPVxB8h6q6Yu1pUP3b6hCjYNeFOxz+S3m2c6fq9Gd9WJPxr0MH23KaBvwaqmHZIjNWLEzB97M0DBmiAkdNmtjnjPv3X9URplw51RPvoYdUwOvhh9V1Su/RAyA83La/gADVSXf1avtnN/mhKLTtM2rc2HZcH3wQWDo8AmmvdLGfffHcuXybpnLD6Q3wMqqhZDLMG96th2DBe39Ae6SO6hFXQK4lXsOsA7Pw7PxnM/VYemLOE1nOXFqQUtNS8dvJ3/Da0tdQYnQJfSg/ABy+ehhnb529o+3v2ngdJbo3Vm2NYRXw740cJofo3l1VvPTpJu/WiTbzA4NSLsCglOsVhQuXyQSs9W4PiODs60ORmpaKuft/RqPO1WDyFFzu2BdxKXH6DcOei3ty3yhRTkwmXKhdBcU+V42FSs1WZR6FdfEiUL48IIJrL/ZCmTKqW/rFi1lu8Y5cuaLSPd1/P3Dh2A2H63xcXPpQqQazIOk3j827C1I8RT2adFZUFNC5M46VF1QfoI7NQEdyyJjN0AZ+hJOlQ+AjKQgMzLeUETZnz6qZ0iZMsHv5w4EW+LythsMNaCXqjjoXgzYMypSXwS73WLpzXV6Ax3DB+4MeVb+PKVPU8I6RI50vv6bhUotG+o3wgG/Sz2PR0dDSk3F88crxvE06tXatnuvB4yOVAPqVJa/k+aY9X2ianjD+nbai51e6fchiboZtHoba02tj85nNaDT1OfVdbcpiG0ePqi6MkyfbDamMjwde6HQLJb8oBjEKttTzzzJa+t5v70GMgkazG+X41Hr7ue36Z9GfCG/Zgu3bFuCf6+qGauERFSitNa2WQ58xr9f5998H3paZWC8tsaNnLpnbnXDxIhAl6tw3qIWg44Qv89a7rQBdT7yOXRd24WDkQafXveCjkhk9083We8CiWfSkyRlv3Mg9bt5UI+uGDgV691ankqkZUj6ePZvzqLwPPrAte+RIzsv26WNb1mxWQ4vWrnW6I6xTikLbPqPoaGD4cP3ZFUSAoCDg228zDN9q21ZdX4cMyXK4vrPC/joFjzda69f46gMEK2sKtObN7njb2Xnhlxfs2hUNv2+I8bvG3xXnlNsDYq1+agXvkd5497d3cTkuDxGiuDgs7aiG5BuG+EEqHcDozM0oZdUqW2oHRxOM3sMYlHIBBqVcr6hcuGY1CwVEEOX/ANLSzCj3lRqbvPARgWX3n/pU9A9NfajAhw9Q4WPRLJlmGus5Qc3M9WQvT/z7522zlZhMtkd7wcFAUhKOHi2AQEsGsbHAmTO31fkbN1RS1ix6gMTE2IpYx/88ljathhJDBG919FQJFPJYT1YfX4UAo7qBf7C/4OQrLZCWnIo+fbJMw6MbNUolJ/f1BfYUQNw4euwPtnEUV64AUL0qfH2Bjx5ooXo+DffAtcTMmWZDD4di2znb09Er8VcQnRCNPRf36MEbMQp+OWwfyPt0rupRVX+ibWaz1Zu/w6aTv+fpM/y5ZiYe7C94qpdAs043PXWq6ukij+c9V/WNG3pLv9Xc5naN4rE7xtp/po0ql85X27/K486ccOgQIIIT5QQRP451apY0q9eWvgYxqhkfS36lkm3rw3H/+MMWgLIm1xJR3RvSffUV4C8x6NVG/abrj6qSKVH/qRun9Jlft5zdkmN5NE1DrWm1IEbR8yvtPL9TH1p+IeYCFh1dhEemP5JzstcM8nqdt1jUHAAiwG+/ObVqjjQN+Nx7HCCCafIepm1agSoTq+izGN7rTpRSs7z9GCz4aPgTOHD5AKISotTNldFQYMNaKf8cPAg0a6ZyaDdpomaQ7dtXJRxfssT+Wm0yqWvr0aNq5rVt24ANG1QOxt277VKKuUxRadvfLj5e9UzLOGtf27ZQicVbtbK9WKkSMHeuU7kh168HhmWcGNhsxnXjZCx/rDiqfmi7JraZ9xxSzHcecTSlmTA/fL5dwH7538tRf2Z9jN0xFv/edH44vquY0kxouaClfkxKjC6BcTvHOXfuu3kTqFsXMxsIFjcIQjm5BhFg+fLblouKUikkRLCgwsfYty9fP8pdiUEpF2BQyvWKyoVr06oEJIgfIALznv0YvlnlXfnPl/cjLc2M9afXo/m85hizY4y7i0r3mMTURNSeXhsGo0FPegwAa46vQv0BxbGniqguBxml5xPS/ANcPlettc4vXmzGrceeUQ20pk3tskEmJtpmXXuyVARM5VUL72St+5B4wBYR+uf6Pw43jKISovDqUtvwr6bjHsa10iob/OnHX4FBLChZEoiIyLDStm2AyYR162zpPX7Ivw4bukOHgJJ+Fhz0TJ8yvGdPAGro43PVjiMtvUfH3g0/Zlp307+b4DHCA+XGlct2CNInGz6BGAU+o3z0nhdJqUkoO64sxChYuWk6AFvy/KoTq+acjyoHqc82Q2RJAT76CABgbqC+yPdlEmbMyNMmcegQEFmqBiCCgZ8/bheUuj0Ym/E9lxg+HGjYMM9Zo2fsm6HySI0tAzEKAkYUR9qc2YgeNRMQgeWdd9HnHQ1VgjTs6TbDNgXUhg2IjVVP5sfIp4j2E/gP8cgyf5z1d9/659YOlcmazyh4ZjA0TUOLBS30Y/r0j0/rwTdHZz26k+u8NTF4fjf0n2pkwuvVt2PFMgtGb/8KYhS8vvz1/N2Jm0RUaGm7+V2wAABwMPKgnhSYqKAVlbZ9dlJSgFmz1MjntdZ5LzQNqYtXQLNOyyiiupDnksDzyBH7eNbevVD/U7++/mJCSDAG/9QD3iO98fLibIZ/O1p2cwpm7JuBqhOr6g9MrO61h+Zbz27FE3Oe0K9fD097ONfRKBbNggRTenv08mU9s/2/FRujuCTCzy/D8GuLReV5E8GZ4rXhK8lo6abO267EoJQLMCjlekXlwmU2A8t9X1E3GV7eiEmO0W9CFoQv0Je71074dHfouLAjxCh4dv6zdr8hbeNG1Wjx8gJOnVJPV/ft029se5RcbGswuUhqaipGjtwJT08NTYsfgLlkgCrjs8/q4wk0TfVwb+5/AGb/9OmzH3nEbips682y90hv9FzZM8epgVefWA3/Mf4Qo8BjhAc+Xv+xykO0di3g7Y20EV/imfT4WLVqKk86du0CvLyQ2rAJqgTEQUR16ioIZrPqEdJI9thanmFh6nglp+HW1J9UT5nbXIq9hPJfl4cYJdPMPBlZNAs6LeqErsu66k9Qrb0zq39bXQ8yJJgS8J/J/4EYBX3W9MlyW7lKH2qn+ftj+dCDKhAvnngo4CquX8/bJnfuBI5KbUAEP9S3BZ3KjC2TqXeS9Xt2WVDqDh2+ehhiFHiO8MTGBUb88qggqUQ5Pcn3ktrD9J/EoEFQAWYRoFYtjBmpZpIMDegDzWDAt3PeghgF/mP89QClNRghRrGbHSknN5Ju6FNfWwNUXiO9UGJ0iTz1QsvrdV6b9T0uShVMlv6wdrzLL9bTZIo5BQ2/bwgxCkZtG5W/O3GTff/X2XYeSc+e/eQPT0KMgsdmPebm0lFRUFTa9rkxm+07dX/5JdCgTgpOvTMe8Pe31dMsZvONjlZDLz08bKkeP/wwPcH6Tz+pF0uXVjPKpI+LP37tuN3DqUuxl7DqxCqH7i1SzCn4bv93ejBKjIKK31TE9H3T7/g4uJNFs2DeX/Nw3/j79GvthtMbslzWbDGj18peCJkdYpuo5dgxdZxFsPW+lyGiITg4/XudMEG1cbyKoY4cRsmSyPdr1d2oSAalpk2bhurVq8PX1xchISHYu3dvjssvXrwYNWvWhK+vL+rUqYO1Tt5tMSjlekXpwjWjtRpznCB+QGoqxuwYAzEK/m/S/7E7Pd2Rf2/+q99ELj221P7N1q0BEfxVtR1EgOuPqafoS71fyZSbwhVSU1OxaNFqNG9ugQjwTIk/keZXUgUyOnWyS1p+fcNBlUenceNMeXLiTfF47qfn7HrGBIwJQL3v6qH1z63tpnY/c/OM3vPj9p41OHUKgGro1VCdcdCizhWkVUifnqhzZ8z9QUOzZgWbg2PnTrW7edJN/YePDzBvXpbLbji9AbMPzkaTH5ronyu3BKMp5hS9YappGurPrA8xCsbtHGe33OYzm/Xj+cOhzN3CdpzfgXl/zcPF2It260zbO02dxywWlWFXBDdFNeS2FGuFw4edPSI2yclAF4MaAj25hhq+V+zLYlk+8bQG1e6VoJRFs+gPKPYd3WCXDOZH6Q4RDR4eqhqnpED1yAoMVPmQfCdBRE2+hZMnkZZmRqPZjSBGQbvQdtA0DdvPbUfNqTXRZVkXp8plTXjeNrQtBvw+AO+ve18PZHZc2DHrCRaykdfrfOQXM/VjkbjPycT7Dlp5fKX+e1lyLPdZLe8Fy+97R+Vwky8AAGmWNP0zdl7S2b2FoyKhKLXtHWUy2SZ9EQG6vxCNmC7vqszoGTLNm1I0fPONfcyqa7tYXFia4R5Y04AxY9TQsRxYh+83ntM4x6Hbcw7OsQtGVZ5QGdP2TitUM4HfSr6FLsu6IHhmcJbDGxNTE9E2tK3+8HLViQxT523bps9OsKjOCBV4OntWf62v53cQAb7/3lWfxr2KXFBq4cKF8PHxwdy5c3Hs2DH07t0bpUuXRlQ2FXDXrl3w9PTE119/jb///htDhw6Ft7c3jhw5kuXyWWFQyvWK0oVr104N78k0DCg+E9cuJiPBlKBH7o1bjO4uHt3jhm0epjcohm8ejnhTeiLNv/8GAgMxue0GiABl5CamSD+Uk2t48knVUHIla52/dSsVTz2lGlwvlgpDqocaSpcaVB24lGEY2uHDOc46tv3cdryz5p1MUwN3WtTJbrmDkQez7Ulk9c9fCehaahW2iSpY8n9q6wlJXdGJsWtXwE8SsEw6qiDdo4+qJCHpNE3Dpxs/hc8oH7tAnCMzoGW05+Ieff3riZm7Lw3ZNER/ovjbSftkPtZgls8oH/Rd2xe9V/eGwWiAGAVvr35bLTRrFpL9yiBWSiHeo5Tq6XWHypTW8JRsg59XNLad3YmbSVkPl5u0Z5LeCL9XWBvCE3dPVFPBi+BohebwFhN8fZGpN6Plu1mACNbK86j7ULJd8vgjUUf0hNbWWfbMFrPtqa+Dtp/bDr/Rfui/rr/+mqZpeH356/Ab7YeIqxE5rG0vr9f5xF9X2e7KCigxzpGoI3pdOHz1DiKnd5E/HhsMiGCS2IZtH7h8AF9t/8rpcwVRXhSltr0zrl8H+vWzjcL28QGGf5KE2Nj0NobZDPNTzTCo1Ax4SSra1z6Ff96foialue++HNtCt7NoFgzeNBjFvyyun+Oe++k5HLh8AGmWNLuH4b1X99aDUVP3Ti1UwajbZUxNkGZJw6Z/N+G7/d+h7nd19QdeK4+vzLzinDnqSytXTn2RmoabDzTAckMniGjo3Nk17cS7QZELSoWEhKBvX1vSSYvFgsqVK2PMmKxz7nTu3Blt2rSxe61Ro0Z4x4nxFgxKuV5Ru3Bt2KCm77Uav2u8frFITSsax4AKRmJqIgLGBOi/p0ORh2xvxsXhxg29gwUCA4Gvv1a5m1wtY52PiwOeSJ/1/UVZgTRJ76c+d67z201LRcTVCPx+6nf8cOiHbLtnZysuTuUGSr8JjhF/zB9ywqWNjEuX1O4NYsEIGQZzhSA1RVMG+y/vxycbPsGz859FjSk1sO6fdU7vZ9S2URCjoNfKXlm+r2kauq3olmXg6rONnyF4ZrBdAFCMgq7LuuJG0g21UEoKtPgEHDgAmG4l5ksXs/TOV5BcWjlpljSs/WetrSz3gP7r+kOMgvvG3wds3gx8+CHM125hzhyVT+t2RyPScMizAf6UECz7KXMlHrVtFD5e/7FTvZlup2lalnnFNE1zeiajPF/nt2yxfen5MFtVVpJSk/TfsKunMy8oSZ+NAERw/eUCGm9MlIui1rZ31rFjwHPP2c+SeO4c1PU+/YU0Lx/7BR56SGWzd1JkXCTe++09fbIL6wOnjMPyzt46iyl/TinUwaisZHyYa53MY+f5HGbPGz9e712flAS8Wu9v+EkCXn3VrpN/oedovMRLCoHU1FQ5ePCgDB48WH/Nw8NDWrRoIXv27MlynT179sjAgQPtXmvVqpWsXLky2/2YTCYxmUz6v+Pi4kRExGw2i9lsvoNPQI6yHueicrybNVP/b/247z72rtxMuikNKjUQ0UTMWtE4DpT/vMVbfmj3g3Re1lleqf2K1AmsY6tXxYpJqWJm2bhR5NAhg3TsCClZUr3l6qqXsc4XKyayZo3I4MEe4ufXTv7y+1XqnlgsHoGBgjwUrFbZWlKrbK1M+3KIr6941qkjHvv3i4jI+Drz5JfQh6RlP7MEBjpdlDy57z6RyZM95KOPPCRo5nCRR14Qc7Fidl9SvfL1pF6zenbrOXv+7FO/j1T0qygdanbIdt3vWn8nUfFRsv7Mevkl4hd59/F3RURk5NMjZeTTI2Xb+W0ydtdYSUpLktHNRkvTak1tZfHwEPH1kbp1zSLiLWb1hlNlvN2cOQZp3txTRo3SxGzWcly25f0tbWW5B/QO7i2zD82W5tWbi7lpU5Gm6lh262atK/bLP1RL5NaJ9XIzLFwee9kz0+f8tPGn+n/fyTEo7lE8y/XLFyvv1HbzfJ2vXl28rdvw8SmQk5WXeMmRd47o/32v/GZy4t2uhWD6N1K6ycOF4vPQvaeote2dVaOGavusWWOQTz7xlLNnDXLqVJpUfukl8bh1SzxGjhTPmzcFvr6C4GBBly6ivfWWiLe30+fBwGKBMum5SfJ+w/dl5I6R8uvRX8UCi1yMuah/P0ElgqTPY31EUHS+Mw2anL5xWkREHqv4mHSu3Vm61OkiFUtWzP4YfPCB+n+zWdavN8jCiFrStasms2ebBXB9e9pdHP2NGACggMtS4CIjIyUoKEh2794tjRs31l8fNGiQbNu2Tfbu3ZtpHR8fH5k/f7689tpr+mszZsyQESNGSFRUVJb7MRqNMmLEiEyvh4aGip+fXz58EiIi17ppvin+Xv7iZSgUzyhcypCWJjWWL5eEypXl8pNNJTbWR0qXTnV5OTRNxXXcLVVLlYNxB6VWiVpS2ru0u4sjgIjB4O5SFIyEtATx9fAVbw/v3BcuQsqHh0uan5/ceughdxfl3mKxiHh6ursURJQLi0UkNtZXAgJMepX1Sk6W4tHRklC5ssA7f68JMeYY0USTAK8A8TTwHJFsSZbinsWdXg8QiY4uLvfdl1xo2yXZSUpKki5dukhsbKz4+/tnuxzvQpwwePBgu95VcXFxUrVqVXnuuedyPMiUf8xms2zcuFFatmwp3vl84iWiu89dX+fbtxcRkWD3luKu0UE6uLsIdI+7ozr/wgsFUygiKjB3/XWeiPLMOrIsN4UiKBUYGCienp6ZejhFRUVJxYoVs1ynYsWKTi0vIuLr6yu+vr6ZXvf29uZJ1MV4zImKFtZ5oqKFdZ6oaGGdJyp8HK3Td0GH/zvn4+MjDRo0kLCwMP01TdMkLCzMbjhfRo0bN7ZbXkRk48aN2S5PRERERERERET5p1D0lBIRGThwoHTv3l0ef/xxCQkJkUmTJkliYqL07NlTRES6desmQUFBMmbMGBER+eCDD+Tpp5+WCRMmSJs2bWThwoVy4MAB+f777935MYiIiIiIiIiIioRCE5R65ZVX5Nq1azJ8+HC5evWqBAcHyx9//CEVKlQQEZELFy6IR4ZMsE2aNJHQ0FAZOnSoDBkyRGrUqCErV66UOnXquOsjEBEREREREREVGYUmKCUi0q9fP+nXr1+W723dujXTay+//LK8/PLLBVwqIiIiIiIiIiK6XaHIKUVERERERERERPcWBqWIiIiIiIiIiMjlGJQiIiIiIiIiIiKXY1CKiIiIiIiIiIhcjkEpIiIiIiIiIiJyOQaliIiIiIiIiIjI5RiUIiIiIiIiIiIil2NQioiIiIiIiIiIXI5BKSIiIiIiIiIicjkGpYiIiIiIiIiIyOUYlCIiIiIiIiIiIpdjUIqIiIiIiIiIiFyOQSkiIiIiIiIiInI5BqWIiIiIiIiIiMjlGJQiIiIiIiIiIiKXY1CKiIiIiIiIiIhcjkEpIiIiIiIiIiJyOQaliIiIiIiIiIjI5RiUIiIiIiIiIiIil2NQioiIiIiIiIiIXI5BKSIiIiIiIiIicjkGpYiIiIiIiIiIyOUYlCIiIiIiIiIiIpdjUIqIiIiIiIiIiFyOQSkiIiIiIiIiInI5BqWIiIiIiIiIiMjlGJQiIiIiIiIiIiKXY1CKiIiIiIiIiIhcjkEpIiIiIiIiIiJyOQaliIiIiIiIiIjI5RiUIiIiIiIiIiIil/NydwHuZQBERCQuLs7NJSk6zGazJCUlSVxcnHh7e7u7OERUwFjniYoW1nmiooV1nqjwssZJrHGT7DAodQfi4+NFRKRq1apuLgkRERERERER0d0lPj5eAgICsn3fgNzCVpQtTdMkMjJSSpUqJQaDIc/badiwoezfvz/fypUf28vrNvKynjPrxMXFSdWqVeXixYvi7+/vdPmKovz+fbmCO8vsin2zzrPOF6R7rc67u7ys8wW/Hut8wXJ3HXKWu8tb0PsvTPU9r+uyzhcsd9chZ7m7vKzzBb9udusAkPj4eKlcubJ4eGSfOYo9pe6Ah4eHVKlS5Y634+npma8n4fzYXl63kZf18rKOv78/L1wOyu/flyu4s8yu2DfrPOt8QbrX6ry7y8s6X/Drsc4XLHfXIWe5u7wFvf/CVN/zui7rfMFydx1ylrvLyzpf8OvmtE5OPaSsmOj8LtC3b9+7bnt53UZe1svvz0/27sXj684yu2LfrPP33m/yXnKvHV93l5d1vuDXc/d3XNjda8fX3eUt6P0Xpvqe13Xd/R0Xdvfa8XV3eVnnC37dOy0zh+/RPSUuLk4CAgIkNjb2nnpCQER5wzpPVLSwzhMVLazzRMSeUnRP8fX1lS+++EJ8fX3dXRQicgHWeaKihXWeqGhhnSci9pQiIiIiIiIiIiKXY08pIiIiIiIiIiJyOQaliIiIiIiIiIjI5RiUIiIiIiIiIiIil2NQioiIiIiIiIiIXI5BKSIiIiIiIiIicjkGpahQiomJkccff1yCg4OlTp06Mnv2bHcXiYgK0MWLF6VZs2ZSu3ZtqVu3rixZssTdRSKiAtaxY0cpU6aMvPTSS+4uChEVgN9++01q1qwpNWrUkDlz5ri7OERUQAwA4O5CEOU3i8UiJpNJ/Pz8JDExUerUqSMHDhyQcuXKubtoRFQArly5IlFRURIcHCxXr16VBg0ayD///CMlSpRwd9GIqIBs3bpV4uPjZf78+bJ06VJ3F4eI8lFaWprUrl1btmzZIgEBAdKgQQPZvXs32/JEhRB7SlGh5OnpKX5+fiIiYjKZBIAw/kpUeFWqVEmCg4NFRKRixYoSGBgoN2/edG+hiKhANWvWTEqVKuXuYhBRAdi3b5888sgjEhQUJCVLlpTnn39eNmzY4O5iEVEBYFCK3GL79u3Srl07qVy5shgMBlm5cmWmZaZPny7333+/FCtWTBo1aiT79u1zah8xMTFSr149qVKlinzyyScSGBiYT6UnIme5os5bHTx4UCwWi1StWvUOS01EeeXKOk9Ed587PQdERkZKUFCQ/u+goCC5fPmyK4pORC7GoBS5RWJiotSrV0+mT5+e5fuLFi2SgQMHyhdffCGHDh2SevXqSatWrSQ6Olpfxpov6va/yMhIEREpXbq0REREyNmzZyU0NFSioqJc8tmIKDNX1HkRkZs3b0q3bt3k+++/L/DPRETZc1WdJ6K7U36cA4ioaGBOKXI7g8EgK1askA4dOuivNWrUSBo2bCjTpk0TERFN06Rq1arSv39/+eyzz5zex3vvvSfPPPMMk6ES3QUKqs6bTCZp2bKl9O7dW954442CKDoR5UFBXue3bt0q06ZNY04portYXs4Bu3fvlvHjx8uKFStERGTAgAESEhIiXbp0ccdHIKICxJ5SdNdJTU2VgwcPSosWLfTXPDw8pEWLFrJnzx6HthEVFSXx8fEiIhIbGyvbt2+XmjVrFkh5iejO5EedByA9evSQZ555hgEportcftR5Irp3OXIOCAkJkaNHj8rly5clISFBfv/9d2nVqpW7ikxEBcjL3QUgut3169fFYrFIhQoV7F6vUKGCnDhxwqFtnD9/Xt5++209wXn//v3l0UcfLYjiEtEdyo86v2vXLlm0aJHUrVtXz1vx008/sd4T3YXyo86LiLRo0UIiIiIkMTFRqlSpIkuWLJHGjRvnd3GJKJ85cg7w8vKSCRMmSPPmzUXTNBk0aBBn3iMqpBiUokIpJCREwsPD3V0MInKRpk2biqZp7i4GEbnQpk2b3F0EIipA7du3l/bt27u7GERUwDh8j+46gYGB4unpmSkxeVRUlFSsWNFNpSKigsI6T1S0sM4TFW08BxBRRgxK0V3Hx8dHGjRoIGFhYfprmqZJWFgYu+UTFUKs80RFC+s8UdHGcwARZcThe+QWCQkJcvr0af3fZ8+elfDwcClbtqxUq1ZNBg4cKN27d5fHH39cQkJCZNKkSZKYmCg9e/Z0Y6mJKK9Y54mKFtZ5oqKN5wAicpQBANxdCCp6tm7dKs2bN8/0evfu3WXevHkiIjJt2jQZP368XL16VYKDg2XKlCnSqFEjF5eUiPID6zxR0cI6T1S08RxARI5iUIqIiIiIiIiIiFyOOaWIiIiIiIiIiMjlGJQiIiIiIiIiIiKXY1CKiIiIiIiIiIhcjkEpIiIiIiIiIiJyOQaliIiIiIiIiIjI5RiUIiIiIiIiIiIil2NQioiIiIiIiIiIXI5BKSIiIiIiIiIicjkGpYiIiIiIiIiIyOUYlCIiIiIiIiIiIpdjUIqIiIiIiIiIiFyOQSkiIiKifPbxxx9Lhw4dHFq2WbNmYjAYxGAwSHh4eJ624S49evTQy75y5Up3F4eIiIjuMQxKEREREeWz8PBwCQ4Odnj53r17y5UrV6ROnTp226hbt26u6/bs2VOGDh0qIrYgUZ8+fTIt17dvXzEYDNKjRw+Hy5WbyZMny5UrV/Jte0RERFS0MChFRERElM8iIiKcCkr5+flJxYoVxcvLy24b9erVy3E9i8Uiv/32m7Rv315/rWrVqrJw4UJJTk7WX0tJSZHQ0FCpVq2a4x/CAQEBAVKxYsV83SYREREVHQxKEREREeWjS5cuyfXr1/WgVExMjLRr106aNm0qV69edWobIiItW7YUPz8/qVmzpuzdu9duud27d4u3t7c0bNhQf+2xxx6TqlWryvLly/XXli9fLtWqVZP69evbrd+sWTPp16+f9OvXTwICAiQwMFCGDRsmAPRlNE2Tr7/+Wh588EHx9fWVatWqyejRo506JkRERERZYVCKiIiIKB+Fh4dL6dKl5f7775cjR45Iw4YNJSgoSLZs2eJwryJrbqnp06fLkCFDJCIiQqpVqyafffaZ3XKrV6+Wdu3aicFgsHu9V69e8uOPP+r/njt3rvTs2TPLfc2fP1+8vLxk3759MnnyZJk4caLMmTNHf3/w4MEyduxYGTZsmPz9998SGhoqFSpUcOhzEBEREeWEQSkiIiKifBQeHi716tWT0NBQefrpp2XQoEEyc+ZM8fb2dmobZcuWlcWLF0vz5s2lRo0a0r59e7l27ZrdcqtWrbIbumf1+uuvy86dO+X8+fNy/vx52bVrl7z++utZ7qtq1ary7bffSs2aNaVr167Sv39/+fbbb0VEJD4+XiZPnixff/21dO/eXR544AFp2rSpvPXWW04cESIiIqKseeW+CBERERE5Kjw8XA4fPiz9+vWTtWvXSuPGjfO0jRdffFECAwP1186ePSsPPvig/u/jx49LZGSkPPvss5nWL1++vLRp00bmzZsnAKRNmzZ228roiSeesOtp1bhxY5kwYYJYLBY5fvy4mEymLPdBREREdKfYU4qIiIgoH4WHh0unTp0kJSVFYmJi8ryNJ554ItNrGZOnr169Wlq2bCnFihXLchu9evWSefPmyfz586VXr155Kkfx4sXztB4RERGRIxiUIiIiIson8fHxcubMGenbt69MmzZNXn31VTl27FietnF7UvLbg1KrVq2SF198MdvttG7dWlJTU8VsNkurVq2yXe725Ol//vmn1KhRQzw9PaVGjRpSvHhxCQsLc+ozEBERETmCw/eIiIiI8klERIR4enpK7dq1pX79+nL06FFp166d7Nu3L9vhc9lt49FHH9VfO3/+vNy6dUsPSkVHR8uBAwdk9erV2W7H09NTjh8/rv93di5cuCADBw6Ud955Rw4dOiRTp06VCRMmiIhIsWLF5NNPP5VBgwaJj4+PPPnkk3Lt2jU5duyYvPnmmw59HiIiIqLsMChFRERElE/Cw8Pl4YcfFl9fXxERGT9+vBw/flw6deokmzZtEh8fH4e2UbNmTbtheX/99Zc+o5+IyJo1ayQkJCTXQJe/v3+u++vWrZskJydLSEiIeHp6ygcffCBvv/22/v6wYcPEy8tLhg8fLpGRkVKpUiXp06dPrtslIiIiyo0BANxdCCIiIqKiqlmzZhIcHCyTJk1yeJ327dtL06ZNZdCgQS7fd1YMBoOsWLFCOnTocEfbISIioqKFOaWIiIiI3GzGjBlSsmRJOXLkiEPLN23aVF577bUCLlXu+vTpIyVLlnR3MYiIiOgexZ5SRERERG50+fJlSU5OFhGRatWqOTTEL7/caU+p6OhoiYuLExGRSpUqSYkSJfKxdERERFTYMShFREREREREREQux+F7RERERERERETkcgxKERERERERERGRyzEoRURERERERERELsegFBERERERERERuRyDUkRERERERERE5HIMShERERERERERkcsxKEVERERERERERC7HoBQREREREREREbkcg1JERERERERERORyDEoREREREREREZHL/T+vP4vBh/LuoAAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "thresh = 1e-10\n", + "zz = cosmo_symb[obb].fiducialcosmo.results.zgrid\n", + "kmpc = cosmo_symb[obb].fiducialcosmo.kgrid\n", + "z_list = [0., 1.0, 2.0] # Three different redshifts\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 10), sharex=True)\n", + "\n", + "# Colors and line styles\n", + "colors = ['blue', 'red', 'green']\n", + "linestyles = [':', '--', '-']\n", + "\n", + "nonlinear = False\n", + "\n", + "for i, z in enumerate(z_list):\n", + " symb_quant = np.clip(cosmo_symb[obb].fiducialcosmo.Pmm(z, kmpc, nonlinear=nonlinear), thresh, None)\n", + " camb_quant = np.clip(cosmo_camb[obb].fiducialcosmo.Pmm(z, kmpc, nonlinear=nonlinear), thresh, None)\n", + " percentage_diff = np.abs(100 * (symb_quant - camb_quant) / camb_quant)\n", + " \n", + " # Power spectrum plot\n", + " ax1.loglog(kmpc, symb_quant, color=colors[i], ls=linestyles[0], \n", + " label=f'CF symb (z={z})', lw=3)\n", + " ax1.loglog(kmpc, camb_quant, color=colors[i], ls=linestyles[1], \n", + " label=f'CF camb (z={z})', lw=1)\n", + " \n", + " # Percentage difference plot\n", + " ax2.semilogx(kmpc, percentage_diff, color=colors[i], ls=linestyles[1], \n", + " label=f'z={z}')\n", + "\n", + "ax1.set_ylabel(r'$P_{mm}(k) \\ [(\\mathrm{Mpc}/h)^3]$')\n", + "if nonlinear:\n", + " ax1.set_title('Comparison of Nonlinear Matter Power Spectrum')\n", + "else:\n", + " ax1.set_title('Comparison of Linear Matter Power Spectrum')\n", + "ax1.legend()\n", + "ax1.grid(True)\n", + "\n", + "ax2.set_xlabel(r'$k \\ [h/\\mathrm{Mpc}]$')\n", + "ax2.set_ylabel('% Difference')\n", + "ax2.set_ylim(-0.1,1.0)\n", + "ax2.legend()\n", + "ax2.grid(True)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "7.204447991898633e-06 10.16741496219635 709\n", + "0.0006765999999999999 6.0893999999999995 400\n" + ] + } + ], + "source": [ + "print(min(cosmo_camb[obb].fiducialcosmo.kgrid), max(cosmo_camb[obb].fiducialcosmo.kgrid), len(cosmo_camb[obb].fiducialcosmo.kgrid))\n", + "print(min(cosmo_symb[obb].fiducialcosmo.kgrid), max(cosmo_symb[obb].fiducialcosmo.kgrid), len(cosmo_symb[obb].fiducialcosmo.kgrid))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "thresh = 1e-10\n", + "zz = cosmo_symb[obb].fiducialcosmo.results.zgrid\n", + "kmpc = cosmo_symb[obb].fiducialcosmo.kgrid\n", + "z_list = [0., 1.0, 2.0] # Three different redshifts\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 10), sharex=True)\n", + "\n", + "# Colors and line styles\n", + "colors = ['blue', 'red', 'green']\n", + "linestyles = [':', '--', '-']\n", + "\n", + "nonlinear = True\n", + "\n", + "for i, z in enumerate(z_list):\n", + " symb_quant = np.clip(cosmo_symb[obb].fiducialcosmo.Pmm(z, kmpc, nonlinear=nonlinear), thresh, None)\n", + " camb_quant = np.clip(cosmo_camb[obb].fiducialcosmo.Pmm(z, kmpc, nonlinear=nonlinear), thresh, None)\n", + " percentage_diff = np.abs(100 * (symb_quant - camb_quant) / camb_quant)\n", + " \n", + " # Power spectrum plot\n", + " ax1.loglog(kmpc, symb_quant, color=colors[i], ls=linestyles[0], \n", + " label=f'CF symb (z={z})', lw=3)\n", + " ax1.loglog(kmpc, camb_quant, color=colors[i], ls=linestyles[1], \n", + " label=f'CF camb (z={z})', lw=1)\n", + " \n", + " # Percentage difference plot\n", + " ax2.semilogx(kmpc, percentage_diff, color=colors[i], ls=linestyles[1], \n", + " label=f'z={z}')\n", + "\n", + "ax1.set_ylabel(r'$P_{mm}(k) \\ [(\\mathrm{Mpc}/h)^3]$')\n", + "if nonlinear:\n", + " ax1.set_title('Comparison of Nonlinear Matter Power Spectrum')\n", + "else:\n", + " ax1.set_title('Comparison of Linear Matter Power Spectrum')\n", + "ax1.legend()\n", + "ax1.grid(True)\n", + "\n", + "ax2.set_xlabel(r'$k \\ [1/\\mathrm{Mpc}]$')\n", + "ax2.set_ylabel('% Difference')\n", + "ax2.set_ylim(-0.1,3.0)\n", + "ax2.legend()\n", + "ax2.grid(True)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Compute Fisher Matrices" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Compare Fisher Matrices" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "from cosmicfishpie.analysis import fisher_plotting as fpp\n", + "from cosmicfishpie.analysis import colors\n", + "import cosmicfishpie.analysis.fisher_plot_analysis as fpa\n", + "colorlist = [colors.nice_colors(ii) for ii in range(8)]\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "parstomarg = ['Omegab','sigma8']" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----\n", + "Fisher Name: CosmicFish_v1.2.0_LCDM_symbolic_GCsp_fishermatrix\n", + "Fisher FoM in Omegab,sigma8: 146447.595\n", + "Parameter Omegam , fiducial: 0.311, 1-sigma error: 0.0035, percent error: 1.1%\n", + "Parameter Omegab , fiducial: 0.049, 1-sigma error: 0.0009, percent error: 1.9%\n", + "Parameter h , fiducial: 0.677, 1-sigma error: 0.0081, percent error: 1.2%\n", + "Parameter ns , fiducial: 0.967, 1-sigma error: 0.0074, percent error: 0.8%\n", + "Parameter sigma8 , fiducial: 0.816, 1-sigma error: 0.0105, percent error: 1.3%\n", + "Parameter Ps_1 , fiducial: 0.000, 1-sigma error: 72.9192, percent error: inf%\n", + "Parameter Ps_2 , fiducial: 0.000, 1-sigma error: 90.8040, percent error: inf%\n", + "Parameter Ps_3 , fiducial: 0.000, 1-sigma error: 110.8530, percent error: inf%\n", + "Parameter Ps_4 , fiducial: 0.000, 1-sigma error: 128.8068, percent error: inf%\n", + "Parameter lnbg_1 , fiducial: 0.379, 1-sigma error: 0.0034, percent error: 0.9%\n", + "Parameter lnbg_2 , fiducial: 0.474, 1-sigma error: 0.0036, percent error: 0.8%\n", + "Parameter lnbg_3 , fiducial: 0.558, 1-sigma error: 0.0037, percent error: 0.7%\n", + "Parameter lnbg_4 , fiducial: 0.641, 1-sigma error: 0.0037, percent error: 0.6%\n", + "----\n", + "Fisher Name: CosmicFish_v1.2.0_LCDM_camb_GCsp_fishermatrix\n", + "Fisher FoM in Omegab,sigma8: 167279.022\n", + "Parameter Omegam , fiducial: 0.311, 1-sigma error: 0.0036, percent error: 1.2%\n", + "Parameter Omegab , fiducial: 0.049, 1-sigma error: 0.0010, percent error: 2.0%\n", + "Parameter h , fiducial: 0.677, 1-sigma error: 0.0077, percent error: 1.1%\n", + "Parameter ns , fiducial: 0.967, 1-sigma error: 0.0088, percent error: 0.9%\n", + "Parameter sigma8 , fiducial: 0.816, 1-sigma error: 0.0099, percent error: 1.2%\n", + "Parameter Ps_1 , fiducial: 0.000, 1-sigma error: 72.4233, percent error: inf%\n", + "Parameter Ps_2 , fiducial: 0.000, 1-sigma error: 87.6137, percent error: inf%\n", + "Parameter Ps_3 , fiducial: 0.000, 1-sigma error: 104.9350, percent error: inf%\n", + "Parameter Ps_4 , fiducial: 0.000, 1-sigma error: 119.7316, percent error: inf%\n", + "Parameter lnbg_1 , fiducial: 0.379, 1-sigma error: 0.0038, percent error: 1.0%\n", + "Parameter lnbg_2 , fiducial: 0.474, 1-sigma error: 0.0039, percent error: 0.8%\n", + "Parameter lnbg_3 , fiducial: 0.558, 1-sigma error: 0.0040, percent error: 0.7%\n", + "Parameter lnbg_4 , fiducial: 0.641, 1-sigma error: 0.0040, percent error: 0.6%\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/santiago/CosmoProjects/cosmicfish_release/jellyfish/cosmicfishpie/cosmicfishpie/analysis/fisher_plot_analysis.py:484: RuntimeWarning: divide by zero encountered in scalar divide\n", + " perc_err = 100 * abs(sigmas[ii] / fidus[ii])\n" + ] + } + ], + "source": [ + "FishesGCsp = [fish_symb['GCsp'], fish_camb['GCsp']]\n", + "fishlistGCsp = fpa.CosmicFish_FisherAnalysis(FishesGCsp)\n", + "fishlistGCsp.compare_fisher_results(parstomarg=parstomarg)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Plot Fisher Matrices" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "results_symb/plots exists already\n", + "Fisher matrix loaded, label name: CF symb GCsp\n", + "Fisher matrix loaded, label name: CF camb GCsp\n" + ] + } + ], + "source": [ + "plot_options = {'fishers_list': FishesGCsp, \n", + " 'colors': colorlist,\n", + " 'fish_labels': ['CF symb GCsp', 'CF camb GCsp'],\n", + " 'plot_pars': ['Omegab', 'sigma8', 'h', 'ns', 'Omegam', 'lnbg_1', 'Ps_1'],\n", + " 'axis_custom_factors': {'all': 4}, ## Axis limits cover 3-sigma bounds of first Fisher matrix\n", + " 'plot_method': 'Gaussian',\n", + " 'file_format': '.pdf', ##file format for all the plots\n", + " 'outpath' : 'results_symb/plots/', ## directory where to store the files, if non-existent, it will be created\n", + " 'outroot':'Euclid-WL-Symb_vs_CAMB-LCDM' ## file name root for all the plots, extra names can be added individually\n", + " } \n", + "fish_plotter = fpp.fisher_plotting(**plot_options)\n", + "#fish_plotter.compare_errors(options={'yrang' : [-500, 500], 'ncol_legend': 2})" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Entering plotting routine\n", + "{'Omegam': [0.29709992344683933, 0.32510007655316064], 'Omegab': [0.04520102354875327, 0.05273897645124673], 'h': [0.6441673293103811, 0.7090326706896188], 'ns': [0.9369787387648146, 0.9960212612351854], 'sigma8': [0.7737122330711363, 0.8574557669288636], 'Ps_1': [-291.6766526032059, 291.6766526032059], 'Ps_2': [-181.60807861835045, 181.60807861835045], 'Ps_3': [-221.7059010149152, 221.7059010149152], 'Ps_4': [-257.6136990203191, 257.6136990203191], 'lnbg_1': [0.3658500177941857, 0.39304998220581433], 'lnbg_2': [0.46668843415766026, 0.48092356584233975], 'lnbg_3': [0.5502323269443643, 0.5649716730556358], 'lnbg_4': [0.6337798619228777, 0.6487341380771222]}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/santiago/CosmoProjects/cosmicfish_release/jellyfish/cosmicfishpie/cosmicfishpie/analysis/fisher_plotting.py:263: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + " g.fig.savefig(\n", + "/home/santiago/anaconda3/envs/jellyfish/lib/python3.10/site-packages/IPython/core/events.py:82: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + " func(*args, **kwargs)\n", + "/home/santiago/anaconda3/envs/jellyfish/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + " fig.canvas.print_figure(bytes_io, **kw)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fish_plotter.plot_fisher(filled=[False, False])" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "('Fishers names: ', ['CF symb GCsp', 'CF camb GCsp'])\n", + "('parameters to plot: ', ['Omegab', 'sigma8', 'h', 'ns', 'Omegam', 'lnbg_1', 'Ps_1'])\n", + "X tick labels ---> : ['\\\\Omega_{{\\\\rm b}, 0}', '\\\\sigma_8', 'h', 'n_{\\\\rm s}', '\\\\Omega_{{\\\\rm m}, 0}', 'lnbg_1', 'P_{S1}']\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fish_plotter.compare_errors({'yrang' : [-20, 20], 'ncol_legend': 2, 'compare_to_index':0})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Compare Derivatives" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib.lines import Line2D\n", + "\n", + "variable = 'Omegam'\n", + "\n", + "zbi = cosmo_camb['GCsp'].derivs_dict[variable]['z_bins']\n", + "dPdtheta_camb = cosmo_camb['GCsp'].derivs_dict[variable]\n", + "dPdtheta_symb = cosmo_symb['GCsp'].derivs_dict[variable]\n", + "\n", + "# Create figure and axis objects\n", + "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 10), sharex=True, gridspec_kw={'height_ratios': [3, 1]})\n", + "epser = 7\n", + "# Plot the data\n", + "for ii, zz in enumerate(zbi):\n", + " ax1.semilogx(cosmo_camb['GCsp'].Pk_kgrid, dPdtheta_camb[ii][0, :], ls='-', color=f'C{ii}')\n", + " ax1.semilogx(cosmo_symb['GCsp'].Pk_kgrid, dPdtheta_symb[ii][0, :], ls='--', color=f'C{ii}', label=f'z = {zz:.3f}')\n", + " \n", + " # Calculate and plot the ratio\n", + " ratio = 100*(np.abs(((dPdtheta_camb[ii][0, :] - dPdtheta_symb[ii][0, :]))/ (dPdtheta_camb[ii][0, :]+epser)))\n", + " ax2.semilogx(cosmo_camb['GCsp'].Pk_kgrid, ratio, color=f'C{ii}', label=f'z = {zz:.3f}')\n", + "\n", + "# Create custom legend for CAMB and Symbolic\n", + "solver_legend_elements = [\n", + " Line2D([0], [0], color='black', ls='-', label='CAMB'),\n", + " Line2D([0], [0], color='black', ls='--', label='Symbolic')\n", + "]\n", + "solver_legend = ax1.legend(handles=solver_legend_elements, loc='best', title='Solver', fontsize=10)\n", + "\n", + "# Add the solver legend to the plot\n", + "ax1.add_artist(solver_legend)\n", + "\n", + "# Create legend for redshift values\n", + "z_legend = ax1.legend(title='Redshift', loc='center left', fontsize=10)\n", + "\n", + "# Set labels and title for the main plot\n", + "ax1.set_ylabel(f'dPobs/d{variable}', fontsize=18)\n", + "ax1.set_title(f'Derivative of Pobs(k, mu) with respect to {variable}', fontsize=19)\n", + "\n", + "# Set labels for the ratio plot\n", + "ax2.set_xlabel('k [1/Mpc]', fontsize=18)\n", + "ax2.set_ylabel(r'% diff CAMB/Symb', fontsize=12)\n", + "\n", + "# Add a horizontal line at y=1 for reference in the ratio plot\n", + "ax2.axhline(y=1, color='black', linestyle=':', linewidth=0.5)\n", + "\n", + "# Set y-limits for the ratio plot (adjust as needed)\n", + "ax2.set_ylim(-1, 20)\n", + "\n", + "# Adjust layout and display the plot\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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AOiiiM4IWL14c2gtIkvr166ennnpK99xzj+z2v09dUlKiNWvWRDIKUCWJe4qgYDCoQCAgm81mciIAAAAAAMInokXQ7bffXq4MkqRvvvmmzH2LxaLnnnsuklGAKklt0Ch0u9DtUnKDhiamAQAAAAAgvCJaBF155ZV6++231bx58/2Os1qtatWqVSSjAFWS2iAtdDsnJ5siCAAAAABQp0S0CLr33nuVkpJSpbFLlizRCSecEMk4wAElJiTKZrMpEAjI5cqWdLjZkQAAAAAACJuIFkH/LIEMw9C0adO0YsUKud3u0JIxwzD0448/au7cuZGMAxyQxWqVfU8RlO/KMzsOAAAAAABhFdXLx/fp00fjxo1T06ZN5XQ6Q48HAgHt2LEjmlGAStlspRfTKyhwm5wEAAAAAIDwimoRNHXqVK1cuVIdO3Ysd2zUqFHRjAJUyr6nCCoqLDQ5CQAAAAAA4WWN5sm6detWYQkkSRdffHE0owCVstsskqTiIoogAAAAAEDdEtUi6IUXXtBbb72lLVu2lPnYsGGDhgwZEs0oQKXs1tIvC4+n2OQkAAAAAACEV1SXhv3+++965plnNGDAgDKPG4Yhi8WiV155JZpxgArtnRHkKfGYnAQAAAAAgPCKahF033336a677lLXrl3LbRb91VdfRTMKUKm9ewT5vF6TkwAAAAAAEF5RLYKaNm2qF154ocJjle0dBESbzVo6I8jr9ZmcBAAAAACA8IrqHkF33nmnFi5cWOGxLVu2RDMKUKm9M4L8fr/JSQAAAAAACK+ozgjauXOnbrvtNh133HHljv3xxx9auXJlNOMAFbLtXRpGEQQAAAAAqGOiWgStWrVKHo9HGRkZZR4PBALKysqKZhSgUg67TZLkDwRNTgIAAAAAQHhFtQi66aabdOmllyomJqbcsYkTJ0YzClApm620CAr4AyYnAQAAAAAgvKK6R1C7du0qLIEk6fLLL49mFKBSDkdpP8qMIAAAAABAXRPVIqhbt266//77NWfOnGieFjgodvueIihomJwEAAAAAIDwiurSsPHjx6tx48b6+uuvNXToUHXo0EG9e/fWqaeeGs0YwH7FOJ2SJL+fGUEAAAAAgLolqkXQmWeeKUkaOHCgJGnz5s16+umn1adPH11zzTW69tprddJJJ0UzElCOY8/yxUCQIggAAAAAULdEdWlYXl6eJMnn82nMmDG68cYb9emnnyohIUFpaWn66quvdMkll+iLL76IZiygDKczVhJ7BAEAAAAA6p6ozgh64oknlJCQoBEjRig7O1uXXXaZfv75Z5133nmhMcXFxbryyiu1YsUKPffcc9GMB0iSYuPiJUn+AHsEAQAAAADqlqjOCHr33Xf14Ycf6sYbb9TatWs1fvz4MiWQJMXFxalx48YaNmxYNKMBIXHxiZIkf4DLxwMAAAAA6paozgjq27ev3n77bSUkJOx3XPPmzbmcPEwTn5QkSQqwNAwAAAAAUMdEtQh69913FRsbe8BxL730UhTSABVLSkqVVDojyDAMWSwWcwMBAAAAABAmUSmCfD6fCgoK1KBBg9Bjy5cv17Rp09S0aVNddtllStozCwMwW0pqauh2SXGR4uL3P4MNAAAAAIDaIqJ7BB1zzDFKS0vTVVddpaVLl4Yef+utt9S5c2c99NBDuuGGG3Tcccdpw4YNkYwCVFlKg0ah267cHBOTAAAAAAAQXhEtglauXKkBAwZo4sSJ6tq1qyRp2rRpGjBgQOjqYcuXL9ctt9yiBx98MJJRgCpLSW0kq7X0SyMvb7fJaQAAAAAACJ+IFkFt2rTR//3f/4XuFxUV6dZbb5XFYtG4ceN000036eijj9YzzzyjAFdoQg0R43DIZiv90nDl5ZkbBgAAAACAMIpoEdS+ffsy9x9//HFlZmbqnnvu0YUXXhjJUwPVYrfZJEkF+S6TkwAAAAAAED4RLYLy8/P1008/qaCgQC+99JKGDRumZs2aafDgwWXG5eTkaO7cuZGMAhwU+54ZQYUF+SYnAQAAAAAgfCJ61bDnnntOPXv2lMfjkWEYio+P1+jRo5WcnBwak5ubq6uuukp5LMFBDbK3CCouKjQ5CQAAAAAA4RPRIuiiiy7S8uXL9cMPPygQCOjKK69Uy5YtQ8fHjBmjjz/+WA0bNtSAAQMiGQU4KDarRZJUUlxschIAAAAAAMInokXQ559/rssuu0z33HNPhcevv/56XX/99ZGMABySvTOCPB6PyUkAAAAAAAifiO4R9MEHHyg9PV0XXXSRPvjgA+3YsSOSpwPCxr5nRpCXIggAAAAAUIdEtAiaOXOmNm/erN69e+u7775T+/btdcYZZ+jll1/WunXrInlqoFr2zgjy+rwmJwEAAAAAIHwiWgRJUlpamm699VZNmjRJO3fu1AMPPKCFCxfqpJNOUqdOnfTkk09q0aJFkY4BHBSbrXRGkN/nNzkJAAAAAADhE9E9gv4pMTFRvXv3Vu/eveX1evXTTz/p22+/1UUXXaS4uDht3rw5mnGASu2dEeTzUwQBAAAAAOqOqBZB+4qJidGll16qSy+9VMFgULNnzzYrClCObU8R5PcHTE4CAAAAAED4mFYELVy4ULNmzVJSUpKuuuoqnXPOOWZFAcqx222SKIIAAAAAAHVLxPcIeuKJJ9S4cWM1adJEAwYMkCS99tprOvXUU/XQQw/p9ttv13HHHadt27ZFOgpQZXbbniIoGDQ5CQAAAAAA4RPRGUEffvihXnjhBR155JGyWCx666231KZNGz311FO688471alTJ23btk0ffvihBg8erHfffTeScYAqczgckqRAgCIIAAAAAFB3RLQIGjFihEaNGqXrr79ekvTBBx/owQcf1PDhw9W7d+/QuFtvvVWXX355JKMAB8UREyNJ8gcMk5MAAAAAABA+EV0aZrVaQyWQJN15551KTU0tUwJJUrt27dSuXbtIRjlkgUBA06dP19KlS82Ogij6uwhiRhAAAAAAoO6I6IygZs2alXusY8eOFY5NSkqKZJT98ng8ateunbZv317h8Q4dOmj16tVRTgUzOZ1OSSwNAwAAAADULREtgjIyMvTrr7+WeczlcmnWrFkyjL+X3Pj9fi1evDiSUfbr448/rrQEkqTHHntMVmvE99VGDeKMi5fEjCAAAAAAQN0S0SJo/vz5Ou+888o8ZhiGunbtGsnTHhS/36+hQ4fqzTffVPfu3csddzqdNXbZGiInLi5BkuQPskcQAAAAAKDuiGgR1KJFC1133XVKSEjY7zi3262xY8dGMkqlPvvsM9lsNvXr10+2PZcMB+LiEyVJ/kDA5CQAAAAAAIRPRIughx9+WPfff3+Vxnbo0CGSUSoUDAb14osv6pJLLlFhYaGSk5OjngE1U2JKiiT2CAIAAAAA1C0R3fjm6quvrvLYK664InJBKvHll19qzZo1GjZsmFJTU3XCCSfo0UcfNXW/ItQMycmlRVAwGJTf7zc5DQAAAAAA4RHRIuiTTz6p8tgPP/wwgkkq9sILL4RuG4ahpUuX6uWXX9aJJ56oK6+8Ujt37ox6JtQMqalpoduF+XnmBQEAAAAAIIwsxr6X7wozh8Ohzp07KzExcb/jCgoKtHjxYvl8vkhFqdBPP/2kXbt2afPmzZozZ46mTZsmj8cTOt6qVSvNmTNHrVq1qvJrut1upaSkyOVysdSsFissLNDtt98hSXr+uafUrsORJicCAAAAAKBiB9NFRHSPoEAgoIULF6oqXZPFYolklAp169atzP3du3fr7bff1ksvvSSPx6OMjAxddNFFWrBggeLi4ip8DY/HU6Y8crvdEc2M6IiPT5DdbpPfH5ArL8fsOAAAAAAAhEVEl4YNHz5c5557rm688UbNnj1bwWCwwo+8vDz17ds3klGqJC0tTc8++6wWLVqk1q1bS5JWrFiht99+u9LnDBkyRCkpKaGPg5k9hJrLYrHIZi29ipzb7TI5DQAAAAAA4RHRIuiWW27R9OnT9eijj+rzzz/XOeeco3fffVf5+fllxiUnJ1f56mLRcPTRR2vq1KlyOp2SpHHjxlU6duDAgXK5XKGPjIyMaMVEhNntpV8ehQXM8gIAAAAA1A0RLYL26tSpk95++239+OOPio+P15VXXqk777xTixYtCo057rjjohGlyo444gjdfvvtkqRVq1ZVOs7pdCo5ObnMB+oGu7X0y6OosMDkJAAAAAAAhEdUiqC94uLi1LdvX02bNk39+vXTBx98oNNOO03Dhw9XcXFxNKNUyWWXXSZJZfYAQv1hs5XuW1VcVGRyEgAAAAAAwiOim0VXZufOnZowYYImT56sbdu2adGiRfrtt9/0wQcfmBGnUnv3CWrcuLHJSWAGh620J/WUlJicBAAAAACA8IhqETRnzhy98847+uabb+T1etWsWTM9/fTTuuOOO9SsWbNoRqmSvTOBOnbsaHISmMFmLZ0R5PVQBAEAAAAA6oaIF0HFxcUaNWqU3nnnHS1btkyGYejss89Wv3791KtXL9ntpkxKqpLff/9dktSrVy+Tk8AM9j0zgrxen8lJAAAAAAAIj4juETRgwAC1aNFCd911l9avX6/bb79dS5cu1S+//KLevXuXKYGGDx8eySgHze/36+2339Zhhx2mW2+91ew4MMHeGUE+n9fkJAAAAAAAhEdEp+O8+eabkqQTTjhBffv2VUpKihYvXqzFixeHxhiGod27d+vdd9/Vv//970jGKXPOs846S8uXL9d5552noUOHllv+9eCDD2rbtm2hK52h/tl7+Xif329yEgAAAAAAwiOiRdCRRx6pfv36KTExMfSYYRhlxgSDwXKPRVogENBff/0lt9utCRMm6IcfftAjjzyiXr16KT8/X6+//rrWrl2rX3/9VZ06dYpqNtQcey8f7/cHTE4CAAAAAEB4RLQIeuCBB3THHXdUaWxKSkoko5Rht9s1Y8YMDR06VLNnz9bOnTv16quvasyYMTr55JN1/fXXq1evXrLZbFHLhJrHZi/9/acIAgAAAADUFREtgqpaAknS0UcfHcEk5XXu3Fmff/55VM+J2sW+twgKBE1OAgAAAABAeER0s+iqmjVrlm677TazYwBlOPZsZh6gCAIAAAAA1BGmXbu9sLBQo0eP1gcffKAlS5aYFQOolMPhkCT5KIIAAAAAAHVE1IugP//8U++//75Gjx6t/Px8tWnTRnfddZcWLFgQ7SjAfjliYiRJgUB0NzMHAAAAACBSolIEeTwejR07Vu+//75+//13JSUlqVGjRpowYYK6du0qSZo3b140ogBVFhPjlCT5g8wIAgAAAADUDRHdI2jNmjV68MEH1aJFC/Xt21clJSV6//33tXXrVh1//PGhEkiSTj/99EhGAQ6aMzZOEnsEAQAAAADqjojOCHrrrbc0evRoNWrUSBMnTtQZZ5wROmaxWCJ5aqDaYuNKiyA/S8MAAAAAAHVERGcEDRs2TNu2bdNTTz2lt99+W88++6y2bt0ayVMCYROfkChJ8gcCJicBAAAAACA8Ir5HUFxcnG6++WbdfPPNWrNmjYYNG6Zdu3YpKytLhmGEZgZt3LhR7dq1i3QcoMriE5MksTQMAAAAAFB3RPWqYR07dtSQIUPk9/s1YcIE9e3bV8nJybrgggs0fvx4jRgxIppxgP1KTm4gqXRG0L6lJQAAAAAAtVVEl4ZVxm6366qrrtLIkSP18MMP69dff9XYsWPNiAJUKjG1Qeh2SXGRiUkAAAAAAAiPqM4IqkibNm302muvqW3btmZHAcpo1Khx6HZezm7FxSeYmAYAAAAAgOozZUbQvnbv3i1J6t+/v8lJgLKSkpJltZZ+ieTmZJucBgAAAACA6otoEWSz2WSz2XT00UfrnXfeqXBMdna2+vXrF8kYwCGx2x2y2WySJJc71+Q0AAAAAABUX0SLIMMwdNlll2np0qWVlj1HHHGEzj77bH322WeRjAIcErut9EukwO0yOQkAAAAAANUX0SIoISFBI0eOlMPh2O+4a6+9VhMnToxkFOCQ7C2CigoLTE4CAAAAAED1RbQIOv3005WamnrAcRaLRQUF/EMbNc/eIqi4iKuGAQAAAABqv4gWQRaLpcpjt27dGsEkwKGxW0v/DHP5eAAAAABAXRDRImj37t3atWvXAcctX75cXq83klGAQ2LbMyPI4ykxOQkAAAAAANUX0SKoZ8+e6t27936Xfe3evVs333yzevbsGckowCGx20pnBFFUAgAAAADqAnskX/zhhx/WV199pSOOOEL33HOPzj33XDVr1kx+v1+ZmZmaPn26PvroI8XFxemxxx6LZBTgkOzdI8jn9ZmcBAAAAACA6otoERQfH6/p06frhhtu0JNPPlluzyDDMHTUUUfp22+/VcOGDSMZBTgktj17BPl8FEEAAAAAgNovokWQJDVu3FhTp07VzJkzNXHiRK1Zs0aBQEAtW7ZU9+7d1atXL9lstkjHAA7J3hlBfr/f5CQAAAAAAFRfxIugvbp27aquXbtG63RAWNj3lJT+QNDkJAAAAAAAVF9EN4sGaju7fU8R5A+YnAQAAAAAgOqjCAL2I1QEMSMIAAAAAFAHRLQIWrBggX755ZdIngKIKIfDIYkiCAAAAABQN0S0CLr22ms1ceLE0P21a9dG8nRA2O0tggJBiiAAAID6ZsWKFdq5c6fZMQAgrCJaBJ199tl69dVXQ/c/+uijSsfOmjUrklGAQxLjdEqS/AHD5CQAAACIpo3rVmvw4MF64IEHzI4CAGEV0auGtWzZUpMmTVJycrIkKSMjQ7NmzZJhlP1Htcfj0fvvv6+zzz47knGAg/Z3EcSMIAAAgPpk7owpodu52bvUoFFjE9MAQPhEtAjq37+/7r//fn377bfyer2yWCwaO3ZshWMtFkskowCHxBkbL4kiCAAAoL7x7vPz32+/TtPFV15nYhoACJ+IFkFNmjTR559/Lo/Ho127dum///2vBg0aVG6cx+PR66+/HskowCGJS0iQJAUoggAAAOqVkqLi0O3Vq1bqYhOzAEA4RbQIuuOOOxQMBvW///1PLVu21LXXXqs2bdpUOHbAgAGRjAIckvj4REnMCAIAAKhvikv+LoKydmWbmAQAwiuim0VPnz5d/fr1C91fuXJlpWMbNmwYySjAIUlMTpEk+QMBk5MAAAAgmjwlntDtbHfxfkYCQO0S0SLo9ttvV+fOnUP3N2/eXOnYSZMmRTIKcEiSUhpIkgzDkM/rNTkNAAAAosXr9YVuFxSVyJ2XY2IaAAifiC4Na9q0qU455RQlJSVJktavX68FCxaUG+fxeLR06VL17ds3knGAg9agQVrodr4rTw0bNzExDQAAAKLF6y87I3zerGn6V4/eJqUBgPCJaBHUt29fnXrqqfriiy+0bds27dq1q8I9grxerzZu3BjJKMAhSU39e8libu5uiiAAAIB6wusrWwRlbubfKwDqhogWQZJ01FFH6dlnn5UkPf7443rxxRcrHFfZZeUBM8XGxclut8vv9ysvl+nAAAAA9cU/ZwTtu3k0ANRmEd0j6J8qK4Ek6ZJLLoliEqBqLBaL7LbSL5OCfJfJaQAAABAtPn/pVWOdMTGSSlcxAEBdENUiaH9GjhxpdgSgQrY9RVBhgdvkJAAAAIiWvUvD4mMdpff32TwaAGqziC4NO+GEE3T66afrvffeUzAYVJcuXZSTU355jdfr1Y4dO3TvvfdGMg5wSOzW0iKoqLDI5CQAAACIFq/fL0lKcNqVK8nv85sbCADCJKJFUNeuXXXEEUdIkqxWq04//XQVFBSobdu2ZcZ5vV5NmTIlklGAQ7Z3aVhxcaHJSQAAABANPq9X/j17BMU5S//J5PvHnkEAUFtFtAh64403yty//fbb1bJlSzVs2LDc2O7du0cyCnDI7DaLJMlTUmJyEgAAAETDrh1bQ7fj45ySJF+AIghA3RDxq4bt67jjjqvw8Q0bNlRYDgE1gW1PEeT1ekxOAgAAgGjYvqcIstlsio0tLYL8ezaPBoDaLqJFUP/+/VVQUHDAcWvWrNGpp56qV199NZJxgEOyd48gH1eKAAAAqBeyd2VJkmIcdjmce4qgAEUQgLohokVQVlaWVqxYobS0NEnSzp07lZ2draOOOqrMuE2bNqlDhw6RjAIcsr1Lw7w+rhQBAABQH7jysiVJMXabnM5YSZLPb5gZCQDCJqJF0FVXXaXRo0fLbi89zRNPPKFBgwYpPj6+zLhNmzZp2LBhkYwCHLK9l4+va1eKMAxDhmEoGAyWub33Y99j+36u6nG/369gMKhAIBB6LHQ74FfA7y/9HPBJwaBsNpusdodsdrtsdofsdodsdodsNluZD7vdLrvdXuYxq9Uqq9Va7rbNZpPFYpHFYjH7lxsAANQiBW63JCnGYVXcnn+7MCMIQF0R0SKod+/eZe7HxMSUK4EkqWXLlho1apReeeWVSMYBDondZpMU+StFBINBeb1eeTyeSj+XlJSU+/AUF6mkpEjekmJ5SkpU4vHI4/HK6/PJ5/PL5/fL7w/IHwgoEAzKMCQZhurT/2lZLJLFYpF1Tyn09+3Sx21Wi2w2q+xWa+lnm1V2m002u012m00Ou12OGLscDodiYmIUExOjWGesYmPjFBsfp4SExNKPxGTFJSQrLiFRsXFxcjqdcjqdoUIKAADUDsWFpVeLdditik9IlEQRBKDuiOpm0StWrFBOTk65jaGHDh2quLi4aEYBqmzv5eO9Xp9ycnLKFDP/vL23rCkuLg7dLn28RN6SktLPXo+8Xp98Xq+8fr98vtKiJhCsuT9cWPYpUPYWGvu7X+Fjofvac1t/Py4pKEOGIQWNfT4HSwurfWctVTSTae9HZQyjdAZU0KT6q7RsKi2ZHHab7Hs+l35Y5bDbFRPjUEyMQ06nU7GxsYqPT1BCYpKSU1KV2qCBGjVqoqTURkpITFRsbCzFEgAAEVS852qxMXabEpOSJXHVMAB1R1SLoP79+6tTp0668MIL1apVK+Xl5enXX3/VihUr9Pzzz0czClBldnvpjKAN23J07733RuWc/1wOtXdJ1L73HVbJYVPpZ6shh9WQ3WLIbpVsVkNWiyGbRbJaJavVIqvVKovVKskii3VP/WK1yrLns9VilawWWaxWWSw2WSzW0uO2PbctNllsVlmsdlmsttIxNpusNpssFrus9tLHrTaHrHa7rLY9y7r2LPGy22Nktdllczhkszlks+1dAlb6PCMYKF06FvArECz9XPoRUCDgk7HnczAQ2POYX0aw9LYR9Jfe9wfkD/oU9JceLx0XUDAYkLHnc3CfpWp7nx/wB+T3+/YsVyudPRUMBBUIBhUIGAoEy3/4934O7P28d3zpErjAPj8sGoYh/57X9XjDs9eUw26T3W6Tw1ZaJtntVsXY7Ypx2OSMiZEzNkZxcaWzlZJSUpTaoJEaN0lX0/QWSmnQiDIJAID98HhKLxISY7cqOaX0P7H9EZ4dDgDREtUi6IwzztDPP/+s5557Th999JEKCgrUoUMHDRv2/+3dd3xUVfrH8c/0Se+UEAiEKk2RJgqKoq6gqLioK7qKvYDK6uqu/tYVVxQLLBZQUbHAigUVREWKIipVFBCUXkMgvSfTy++PQCRCIEAq+b5fr7yY3Hvuuc8dkrmZZ55zzmTuvvvu2gxFpMqaxEViMmXg9/vLKjsqScxU2GY0YDGB9UCSxmoMYjUGsBgDmA1BTIYgJkMAgyGIgeDv1TFlWRsCRjNBg5mAyQwmG5htGC02jLYwTLZwrCFh2EIjsIdGYg+NJCQsgvCQEMJtZsJtZuwWDUWqLcFgEI8vgMvrw+ly4HaU4HKW4HKU4CgtxukoweUoxe0sLRu+53TgdrnKKsI8XnwHhu55/QF8/rKEktdXlmDy+gNlXz4/Xp8fn+/3eaoObnOeYNwGgwGL2YTVYsZ6oDLJajnwvdWC3WYnJCyUyMgoYmLjSWjajBat2hAf30RJJBEROeV5PGX3XIvFTExc2cI3gUAAl8OB/QhTXYiINCS1mggCOO2003j//fdr+7QiJ6zLuZcT7noFi9GAPwg+DPiCBnwGMwFM+E0W/EYrQbMNg8WO0RKK0R6O2RaOJSQca0gEttBI7KERhIWEEhFiKUvYWMv+tZqNelPdgBkMBmwWEzaLiahQG8TGVGv/wWAQp8dLSXERRQU5FOTlUFSQR2lxAY7SA0mmA0MQvR4PXq8Xj7csSeTxlSWpPL6yZJLH68fj9ZYPpfN4fXhOYBJ0o9GIzWLGai1LOlotZmxWC3a7ldCQEMIiwomKiiEuoQnNWrSkRYtkoqJj9HMuIiINhufAhy82q5W4hObl23Nzs2gR2rqOohIRqR61nggSaWh6dT+d7p1fAcrGiYvUJoPBQKjNSqgtnibx8SfcTzAYxOl0kpeXTV52OrnZmRTl51BaXITDUYLb6cLjKZtk3OMN4D2QQHJ7A7i8ftxeHx6Pt3xYndPtwen2UHgc12GzWrBbzdisZuwWM3a7hRC7jbCwMKKioolNSKB5YkuSW7cnOi4eo9F4wtcrIiJyMjy+srkbbTYb0VHRGI1GAoEAeTlZtGjZum6DExE5SUoEiVSBEkDS0BkMBkJDQwkNTSYpKfm4j/d6veTmZJC1P5XMjH0U5OZQUlyIo7QUt8uN2+PB7fGXJ4/cXj+uAxVIPp+fYDCIy+3BdWDOharEezBxZLeasFvNhNithIWGEBkRQWx8PIktWpLSthPxzVtiNOl3VEREqo/XWzYfUEhoCEZT2SqinkCA/Py8Oo5MROTkKREkIiLHZLFYaNa8Jc2at6zyMcFgkNLSUtL37yF97y5ystIpys+jtKQEp9OJy+3F7fGVVx25PH5cB+ZNOp7EkcFgIMRmxW41E2ozEWIzE2q3Eh4WQnRUNPFNmpLUqg0pHToTEhl3Mk+DiIg0EgcrgkLDIwAwm414vFBSlF+XYYmIVAslgkREpEYYDAbCw8Np36EL7Tt0qdIxbo+H9P17Sduzg5zM/RTm51JSVITD4cDp8uDy+HC6/WX/erx4PGVzHjlcbhwuN8f6nNZiNhNis2C3liWMQg7MaxQRGUlMfALNEluR0u40micmYlKVkYhIo+U5sEJYZFTZ3H+WA/eE0pLiOotJRKS61Fki6Ntvv6WwsJCuXbvSrl27ugpDRETqEZvVSuvWbWnduu0x2wYCQfZlZrJ7xyYy9+0lPzeL4qJCnKVOXG4Pbo8Pp8eHy+3D6fYQCATw+nx4fT6KSo/et8FgwG6zEmqzlFUYhVgJDwslKiqahKZNSW7Tjo6ndS//pFhERE4tBxdTiIlrAoDZVLbggcNxjBuIiEgDUKOJoLy8PGJjYw/b/uKLLzJkyBB69+7NunXrWLx4McOGDSMhIaEmwxERkVOI0WigZfNmtGze7JhtHS4PO/fsJG3nVnIy0igqyMVRXILT5cLl9uHy+HF6fDjdPtweT9nk2i43Tpe7kh4XAGC1lA1DKxuSZiEs1FY2h1FcAomtkunQqTtNE1tqxTQRkQbE5XDg95dVBDVpVnaPMZvKFjBwO511FpeISHWp0UTQxRdfzO23386dd95ZYfvWrVu58847sdvt9O/fn/79+/Pf//6XBx54oCbDERGRRirUbqVrx0507djpqO2CgQC5WfvYsW0j+1N3k5uTTXFxMaUOFw63F6fbj8Ptw+Hy4Pf78Xh9eLw+CiqMFEgHtgLLgJkYjcYDyaKD1UU2wiPCiY6Jo1lSEu06dCUlpZ2GokmD4Xa72blrJ/v2bCtLrObn4XQ6D6w86MPj9RMIBAkEgwQCQYLBIBjAaDBgNBgwGAxYzCYsFjNWqwW7zUZUTAxNmjanVdv2tGvXGbPVVteXKY1Yesbe8sfNEssWWLAcTAS5K/uAQESk4ajRRNDkyZMZO3Ys7777LpMmTaJv374A9O7dmz59+vDUU09xySWXYLFYSE9Pr8lQREREjslgNBLfrCXxzY4+Kbbb7WbHji3s3r6FrIx9FBXkUVLiwOl04/T4cLh9OF0e3B4vgUCAEoeLEofrD71sB1YBn5RPeB1qt5R9hdiIiAgnOjaO5i1a0a5jV9q0SVGySGqFy1HCr+t+ZPe2TWRnZVBYVEKxw0OJy0uJ03uUSrnqYTQaCQuxER5iITzERkx0BK1at6F3v4G0rMKwUZGTlZ2+DwCz2UxEROSBx2WJII+naqtfiojUZzWaCDrrrLMYNmwYgwYN4oEHHiAhIYHnnnuOkSNHkpqayvDhwzGZTERFRXHTTTfVZCgiIiLVxmaz0blzdzp37l5pm2AwSPr+fWzfsoH0vbvIz82mpLgEh9NdVlXk9uFweXG6PRUmvK7oYLJoVlmy6EBlUajdQliInbCIcGLj4mneohXtT+tOcqtWShZJlaXt3cPaVT+QumcHebn5FJa6KSp1U+p0l1XxHIPNZsVutWCzmrGajVhMRixmIxazCbPZiMloxGAwYjQZCQaDBAOBskqhg/N1ef14/QE8Xj9Ojx+n24vrwHxexaVOiksPDMHZm82PG3by8effEGK3ER9pJz4mgjZt2zHwoqHEN21ew8+UNDa5OVkAWM2/v54eHBrm9XrrJCYREt9YdwAAO2hJREFUkepkrOkTeL1e2rVrx9y5c7nqqqsYMmQIU6ZM4bHHHmPnzp3MnDmTzz77jGeeeaamQ6lVO3fu5LnnnsPtdjNu3DgAxo0bx/79+5k2bRqrV69mwYIFfPrpp2zcuJGXXnqJoqKiCm3z8vKYMmUK69evZ+7cuXz55ZesWbOGqVOnkp2dXaGtw+Fg4sSJbNmyhY8++ohvvvmG5cuX884777B3794Kbf1+P+PHj2fPnj3MmDGDpUuXsmTJEj744AO2bdvG888/j8vlqnBMRkYGb7zxBqtXr2b+/PnMnj2bX3/9lZdffpnCwsIKbQsKCpg8eTIbNmxgzpw5zJs3j59//pnXX3+dzMzMCm2dTicTJ05k27ZtfPjhhyxevJhly5Yxffp0UlNTeeqppwgEAowbN45AIMBTTz1Famoq06dPZ9myZSxevJgPP/yQbdu2MXHiRJxOZ4X+MzMzef311/n555+ZN28ec+bMYcOGDUyePJmCgoIKbQsLC3n55Zf59ddfmT17NvPnz2f16tW88cYbZGRkVGjrcrl4/vnn2bZtGx988AFLlixh6dKlzJgxgz179jB+/Hj8fn+FY/bu3cs777zD8uXL+eabb/joo4/YsmULEydOxOFwVGibnZ3N1KlTWbNmDV9++SVz585l/fr1TJkyhby8vApti4qKeOmll9i4cSOffvopCxYsYPXq1UybNo39+/dXaOt2u3nuuefYsWMH77//PkuWLOGHH37gf//7H7t37+aZZ57B5/NVOCYtLY23336blStXsmjRImbNmsXmzZuZNGkSJSUlFdrm5OTw2muvsW7dOr744gs+//xz1q1bx6uvvkpubm6FtsXFxbzwwgts3LiRTz75hIULF7Jq1Sreeuutw+L2er08++yz7Ny5k/fee4/vv/+e77//nvfee4+dO3fy7LPP4vV6D/tde+utt1i1ahULFy7kk08+YePGjbzwwgsUFxdXaJubm8urr77KunXr+Pzzz/niiy9Yt24dr732Gjk5ORXalpSUMGnSJDZv3sysWbNYtGgRK1eu5O233yYtLa1CW5/PxzPPPMPu3bv53//+xw8//MCSJUt4//332bFjh14jTvHXiAkTJlDqcLI/q5CmyZ3p2mcQTVO6c9PdDxLVpCWTXn6V1iltmfLyJCLDrJx3VldsOIkLBWvASWlhDqagj+3bt+Hz+diwYQMOp5slS1eydXc6ny/6gYVLVvH2/z7mqWcmMuqeezjrrLP46w3X069vb/75wGgGDTyH8U88wvV/uZrXp07h1demMm/ePL1GNLLXiHmfz+GfD97LXTdfx50jr+PC889lxIjrGHLpUN7/dB5T3/2EDdv38833K9mfkcWePXvIzMyktLiInKx04iNt5GTsZeBZXTEGXDzyt7s4rUM7xo59grP7n8vwa69nyBVX063XOVx/62isUc25/5/jcBkjefCxZygNhDLi1vuJbNaOgUOu5vR+F9Kl13lcfeOdNG/diceefJbmScm89fY7tGvXjttH3oDNFCC5aQR4inGXFOAoLWb79u3k5Rfw1eJlrN2Sxn+em8yo+8Yw4JyzeGj0rTz0t3v4at6XDeY1Qn9H1N/XiLenz8ThcLBjx47y14it23dSWFjId8tWn3KvEfo7Qq8Reo04Nf6OWL58OVVlCFblI58TtGjRImbPnk2XLl0wm81cd911hISE8MILL/DFF1/wzDPP0K9fv5o6fZ0oKioiKiqKwsJCIiMj6zocERE5BeTnZLB103rS9uwkLyeLosJiSp2uA5VFfkpdVR+uYzQay4ehhdgthIXaCY+IICYugeYtU+jYqQutklpgNNb4Z0VSjfw+H5s3rmfDulWkp6VRUFBEYamHwlIXbk/lFQx2m5WoMBtRYTZiYiJJTGpF+85n0KVrDyxWSy1ewbGl7tnFyh++JnXndnLyi8kpdB5WRWc2m2gaE06LprH0O+8C+p4zqI6ilYZo5feLmPXxpzRLiGbtpj0kxITz4pTXAXjm3w+yfns67ZLi+M9zL9dxpFLXMjP2sXzJArIz0zFa7EQ0TWbAueeTmBBX16FJI3Y8uYgaTQTdeOONTJ8+HYDS0lLefPNNhg0bRqtWrcjIyOCRRx4B4Nlnn6VJkyY1FUatUiJIRERqXTBIXvZ+tm1az77UneTkZFNcVEKp043D5aPUfXDeoqoni0LtVkJslrKJrg8mixKaktiyDZ06dyOpWVMli+qAw1HKmh+Xsn3Lb2RnZlJYVFo+pMvr81V6XGiIrTzhExsbTVKrFM7scw6t2rSrxeirV8DvZ8Wyxfy04nvSM3LJyCvF84dhO9ERobRsGkXfswcw8KKhGDV0Uo7igXvvIiO3CLPZhM/np0VCFM+/+CoAE578J2s2pdK6eQx/vvpaZs78gL9cdy29+51Xx1FLbcnLy+PDd6ewbWcaWfmlBAKBCvtNJhNJcaH06XcWw669uY6ilMas3iSCLrjgAmbNmkVc3O+Z0RdeeIExY8aUf79q1Soee+wxLrvsMu67776aCqXWKBEkIiL1UjBIfmZqWWXR3t3k5uT8nixy+yg9UFnkcldtItSyZJHt98qiEDsREWHExsWT2KIl7Tt1Jqllit54nwC/z8eObRvZsvEX0vbsIi8vn6ISF0UOL0WlzqPO3xMRFkJUqJXIcDtxcTEkt23PmX0G0Kx5Ui1eQd1wu1wsmj+bTevXsT+rgKz8kgrPVXionZZNIunRsxeDr/gLJnONTpUpDUxGWioP/uORCj8zrZvH8PTEKQC89Oy/WfnLdpISokjLLgQgISaCF6dMrZN46xu3201aWhqpqak4nU4SEhJITEwkMTERg8FQ1+GdsGAwyNIfFvPDwi/Yvi+/wj3SbrMSEWolGAiWVeYe2GcwGOjYuilX33Ifp7VtXUeRS2N0PLmIGr0Djhgxgs6dO/PAAw9w/vnnYzAYyMjIqNCmb9++LFy4kHfeeacmQxEREWncDAZimiXTt1kyfStrE/CTm76LbZt+ZV/aHvJycyguLqXE6S4bgnZIsqhsNTQnJQ7nHzrZWv7IZDpQWWQ1E2I1YbeasYfYCAsNJTIqmrgmzUhsmUJKuw5ERsU06DcLx8Pv87F711Y2//YLGWmp5OfnUVLipNTlocTpo9Tpxuf3V3q8yWQkMiyEyFArUeEhxMXHkdy2PX36DSQ6Nr4Wr6R+sdntXHbldVx25XUA7Ni2iQVzP2J3agb7c4spcbjYtNvFpt3zmPvVYtokxnL+RUM4a8AFdRy51AdzPp5xWJLVavk9kR0SGgJARn5J+bYSZ+NeQSwQCLB69Wq+XjCPzVt34P9DhQxATFQEA84dyOVXXEFoaGiNxZKZlcGva1dRmJcDRiOhoWG063ImbVqnYDqB6tW8gkI+//B1tm7ZxZ6sovLqnxC7jQ6t4jl30GDO6n9++X0r4POw4PNP+G7pMlLT89i8K4OXnnuKwRefy+V//mu1XmtjVVxczNdff01eXh7BYJALL7yQ1q1b13VYDVaNVgQBfPrpp4wbN46tW7fSp08fZsyYQYsWLWrylHVKFUEiInJK83vJTd/J1k0b2J+2l7zcXIpKHJQ4PZS6fp+zyH2cSywbDQZsVktZsshqwmYxYbeasNut2O12QkJDCQ2LIDI6lpi4JjRt0ZIWia0IDQuroQs9Pl6Ph/T9e9m/bw+5WZkU5udSVFhASUkJTqerbEUsjw+n20+py43PV3mi5yC7zUpkmI3IUBvRUeE0bZ5Ip65n0P2MPlis1lq4qlPH/n17+fLT99i5ay/7cooqPP9x0eG0a9WUoX8eQUr70+owSqlLf7/vLvbnFFXY1q1tMx558r8A7Nq1jWfHP0tRiaN8v9FoZNqbb2Czh9RqrHUtGAyydOkPfPT+THILfn/ObDYbkZGRmM1mnE4nxcXF+A8ktUPsNq67bgSDLryw2pL+O7Zt4stP3mN3WjbZhY7ycx1kMBiIDA8lOtRCVJiVyJgomrRqR5tuZ9OxTSvCbRXnQcspKGbp13PY8dtadmWUkFf4e9IvLjqcM7t25LqRd2M/RkLr0+mT+XzxatweL2aziXN7tOG2v/2nWq65McrOzub5554jbd++w/Ylt2rJvx77N2H15G+BulZvhoY1RkoEiYiIQHZ2Fls2bWBv6i4KcnNwlBTjdDrxeHy4PD5cXj8ujx+3x4PXW/ncNsdiMpkwm8qWKzebyr4sB/41GQ2YjAaMB78MRoxGAyaTEePBNyIGOPiWpPyT3UAQfyCA3x848DhIIBjA7w/iCwTw+QP4fL8/9vr8eI4yIXNl7DYrYXYr4SFmwkPtREZGENekKa1T2tP19F5ERsWc8PMilctIT2POB++wbWca6bm/v4k1GAy0SIiiU4fW/Pm624iKia3DKKU25eVmce99fzusIqjnaa148LHfVzZeMO9TPpz1OR6vt7xC5K7brufcCy6t1XjrUnp6OpNfmMCuvekAmM1mOraMo3W4gyKDlSJrPAGzHasjh2bBAhz+MFanOigpKUuqnNm9C/f+7e/YbLYTjiEvL5d3Jj/Lhp1ZFT50MBqN2CxmMBjweL34/YdXKAHYrFZiI+xEhpoxGw0EAYfbT4HDR0FRSYX+WifGcumll9HvvIuPK8a0ndt5/r8Tyc4rxGg0ck73ltzx96dOqDqpsXI6nfzv3bf49vtlFbZHR0fjdrtxOssqklNat+Rf/34Cu91eF2HWK0oE1SElgkRERKrO7XaTvm8P6ftSyc5KpyAvl5LiYhylDpwuD26PB7fXj8frL0u4eP14fL4qVdTUBZPJhNVixmYpq2oKsZkJsVkIsdsJiwgjOiaOlskpdDm9FzGNeBhXfbHhl59YOHcWO9NyyS/+vdLDarHQqmkUPXv35rJh12k+oVPcZx+9y4dzFhBitxEIBMpX2ju7RwdGPzS2Qttvv51PQW4W3327jKz8Ys7r25U773+0DqKuXT6fjw+mv8WCxd/jDwQwGo10S44jKsKArcefubhvT1pEV6yUyXe4mf3jJhzL38TttrFmewbBYJCm8TE8MW78Cb1X+vbrL5g75wsy88qSuOGhdjokN+HcQRfTs+95mA7MSxcIBEjbvZ11P61k164dZGbnkVfkoKjkj8OZDxcXFUantslcN/IOYuNPfEEjp8PB4//6J2kZORiNRs7qmsQ9D4/HaGwcw6BPVH5OFjPfeZ0NW3ZTVPr763L71klc22wnOwp9NA+FXaQwZ00mwWCQVi2a8fSzE6q0iEVmZiYAWVlZhIaGUlJSQkxMDCUlJURHR5OYmFhj11bTlAiqQ0oEiYiI1DxHaQn79u4mJyud0uJCSkqKcTpKcTsduN1u3B4PPq/3kMqesi9/IEggECQYDBIEOOSvoIMPjYayCqKyaqLfK4vMZjNWqwWr1YbVbsceEoo9NIyIyGiaNEuiZXIboqJVRdJQLV4wh+XfLWFXRgFO1+9VBhFhIbRNiuNPQ//M6WdWOsOWNGATxz3Kzxt3k9QkCofbR15hKQAX9j+DW+55+IjHjP3HfWzdm0On1k3599OTqiWO1N07+OqzD8nMzKag2EmJ04PX58d0oMoxzG4hPiaCM87syYWDr6q1IaLr167htamvUlBU9rw0iYumc3MzLS++g0t6djnmUC+X188bny8gesuXfLOlFI/HQ1xMJE8+9QzR0dFVjuOd1//L9yvW43J7MJtMnNWjI7eNegjrcVQXuVwutm/6hV/Xrmbvvv14vD6CwSAxMTG0TUmh1zkXEJ9QfatZu91uHn/0IVLTy5JBZ3dN5M6HxpcnrAT8Xg/Tp04kdV8WWfkl5B/4OTuoaUIcvWKzWRrSj94DLqNtfDir9+SybOUSRlg3MndDIX6/n1v/ei2DBl9R6Xn27dvHsmXLmDNnTqVtjEYjV111FVdccUWD/D9SIug47dq1iwkTJrBgwQJ8Ph8+n4/evXvzwAMPMGDAgOPqS4kgERERkYbL43bx6QdvsX79b+zNKqow70jTuEg6tmvF1dffRtxJVApI/fLPv91DamYBp3dIJL/QQWpmAQBXXDKAa2+8+4jHvPzcY6xYt4OmsRFMmnziK4d5PR5m/e911q3/jX3ZRUddFfBQFrOZlk2j6HHmGVz+57/WSFKosLCQKZOe49etuwCwWq30bh1OVI8Lufayy7GYjm+Y09LNe9jx6Xi+2+7B5XIRFxPJM89NPOb8LsFgkFcmPs6KdTsJBAJEhYcw6p476XpGnxO+ttrk9Xp57J8PkJqei8Fg4OzTmnLrw89it1qOffARuD0+Nm1ax/5dm4lOaE6rlM4kNW9ezVHXrEAgyJatG5kz43X25TkrzMcEB1ZeS4rBYvViO+1CRl19FTZLxcRMqdvHP9+bT+K2r9iwJ5+IsBCee34iUUdILrpcLsaMGUNRUdFh+/7IZrMxceJEYmMb3gc7SgQdh3nz5nHttdfSoUMHZs2aRUpKCrm5udx999188sknjBs3jkceeaTK/SkRJCIiInJq2J+WyuwPprFtVzpZh6wWZTaZaNUsmp69ejH0qhGYLSf2hq42eN1upr85icL8Anr0OYdzLxisoW5/cPutt1DqdHHphf3YtX0HG3dnAXDDX65gyOXXHvGYzz/9H+9/PA+L2cybb7553IkYv8/H9NcnsWrtZopKfx+uFB0RRtOYEKKjI0ho0ozwqGhcTifO0mLycnLIyi0kI6+0fPgalA1lTG4WzVn9zuLiy64+6f/fQCDA7A9n8Pn8b/AcmMOtfVIcLdq0YNj195MQeeKTY2/PLOCHaY/w/TYXbrebpOYJjBv/PNajPH+vPPsIy9anEgwGadk0hseeeJrwyKgTjqEueL1exv7fQ+xKK/vZ6tMhjr/+7WnioiKq3MfWLb+xaPZ09mQUk1XgwOPxYDabiYmOpEWkkbZduzHsmttqfejZwUKKqs7Rk19YyIwX/s2P23LL59oCsFgstE8MJyYmkiY9B9Orew/aJBz7+XnnjYksXbkRh9PJaSmJPDZuQoX9Gzdu5OWXX6awsBCbzUZ8fDwJCQllScWoKIqKirBYLHi9XsxmMxaTgVtvu52w8Kr/39QXSgRV0c8//8x5551HMBhk69atFVYz8/l89OzZk/Xr1/Puu+9y4403VqlPJYJERERETj0rl37DkoVfsnN/ASUOV/n2sBA7KUnxXDj4cnqf1b8OIzzczLcms3TVOgoOmf8oIiyEpIQIunTvzsWXDic8onH/vbp751Ye/ddYAMb953E+nzWDVRt2AnD/qNvoe84FRzyusLCA+++7H4/Xy/XDL+PSq0ZU+Zxfz5/Nl5/PJzO/GACLxUyb5jH0P/dcBg2+6phDrfILCvjy0+ls27yV1OwS3O7fhzLabVbaNI+l/8CBnHfhZVWaM+WgYDDIoi8/Ze6XC8orNKIjI+ieHE6/a+7l9Latq9zX0ezNK2bha//gu80l+Hw+up/Wln/86z9HvO7przzNwuUbCQQCpLRIYOzTE+p14vVo/H4/4/79CFt2pQHQu10svYbdzoAep1d6TCAQZPGqVWxc+D9+S3NSXFr5HEcmk4me7Ztw5W1/p3VizVUIeb1e1q5dy4oVK1i3bh1utxuAlJQUzj//fM4++2xCQo6cLFzy0xp++eJtVm3NBcoq2zokN2HgJUPp3vNsIuzH/3+bVeTkvRcfYfWmLAwGA2MffYj2Xc4AwOPxcNddd+JyuTGZTJzb8zS6R+QT7dyD32gl2rmHInsLLH4HHlM4pqAHo89Jyo1TMMa2PqHnpy4pEVQFwWCQbt268dtvvzF69Ghefvnlw9rMmjWLa665hpiYGHbs2EFMzLFX71AiSEREROTU5fW4+eyjt1n/ywb2ZBbj9f2+6l1CTATtkpswZNh1tG3fuQ6jhOf/8w/Wbt4LlL3ZiosKISu/tMIn8CaTibjIUJrGhXNGz95cNGQ4Zkvjqhaa+fZkvli0nIiwEKa+MY3/vfki8xavAuCp/4ylTbsOlR77yAP3sCejgC5tm/N/T0485rk8bjeTn3+cNZvTCByYcPm01k0YeecYWrRsdULxZ+dk88Wsd9i5Yzep2cUVVmEMC7HRpkU8gy66hF5nDzzinCfBYJD0/WnMnfUev2zcRuGByZTNZhOnJ8dw2sDLGHzBRdW25PtBOzLyWPzmYyzZVEAwGGToJRdw3Y23VWgz9/1X+XT+SjxeLy2axDB+wouYG3g1WyAQYMJTj7Nu0w4A2ifFk5TclDOG3Eav1k3Kn+eCUjdfffUJRRt/YEN6gLzCsqSh1WKmc7tWDBk6jHadupCRkcGSr7/i55/Xknsgede+RRxX/nUkPbr3PGIMRUVFrFmzhp9//plgMFj2OhAXR/PmzTn99NNp0uTIw16LiopYuHAh33//PTk5OZVeY1xcHHfccQfdunWrsH3VurUs+WQ6v+wom6w5MjyEe+8dTZduPY7jGTyyYqeLf/39PrLzS+jdtQ1/e/QpAL76ah4zZvwPm83G0PP7EL9/PivyLaz2JtPOlM1ib0c6m9IpDIaQYsohJxBOvq0ZL//9fpJjw086rtqmRFAVfPbZZ1x55ZUAfP/990ecC8jpdBIXF4fT6eTxxx9n7Nixx+xXiSARERGRxiEjfS+fvf8WW3ftJz23uHy7wWCgaWwEbVo155LLh9O+Y5daiyknJ5OpLzzLbzszgLIhPSPvGEWbdp1I37+XLz+dyY6dqezPqZjEgrLqpqSEcDqc1omhV91QrdVCDoeDnIz9ZGemkZOdRWF+Hr5D5l8yGo1ERUUTF59AfEJT4pu3IiIystoTEH80/t9/Z8P2/bRuHsPTE6ew5JsveX3aewC8/dY0bPbKh0G9MnEsS3/eSnREKK9MfZPvFn1BIBhg4EVDD4t7xbJv+fiDD0nPLZujpHlcJDfcdCM9ep1dbdeStm8v8z5+l9179pOWU1xhdUWzyURURAhhdgt2qxV/IIDT7SG/yInzkIoik8lExxaRdOrdjyuuHHHc8wAdjw279vL128+xentZdcj999xJ3/7nAbDiu3m8NeMTSh1O4qLCeGbCC8ecS6ihCAaDTHv1JRYvLUs42u12TksMJyoMoq1+3H4DBS4rG/eVUFhcltwxm030PbMbN912D+HhhycoAoEAr0x6muU/bwQgJTGWMy+4hKuGXFbexuFw8O6777J06dKjzkWVEB9Pm5QUEhISsFqtOJ1ONmzYwL59+8rbmM1mWrZsSavmCbQI9RLwe/ktx8D27dvLl3W/8847Oe+8sv/P9z6fi2PdIr7dVPZ/3bVTCo889mS1/n7/d9zD/LQxDavVwp23Xoc9vCkTJkwgGAzSo0MS7Twr+ZfjSi4ecB4XdmzGpoxCLu3ago3phUSFWNieXUx8uJ1OTSPpmhhdbXHVJiWCquDaa6/lo48+wmw2U1xcXOmYxrPPPpsVK1bQrl07tm3bdsx+lQgSERERaXx+WbOChV/MYde+3ApDsQCaxkbQslks/c69gLMGXHjcb358Xg+/rFnFpl/XkpOVRXFxCaVOD6UuH6UHVjgzmYwEAkGcLnf5cT06tuShx5+tpE8vK5d+wy8/rWTPvkzSc4vx+3+vFrJaLLSIDyelTUuG/PmvNG/e4oj9/FFxYQErfviaTb+uJzu3gGKHi2KHB9chyYaqMpmMhNqthNqthNmtRESEEhcXR6tWrenQuTstWqVgOYlhQl6Ph3vuvotSp4tzenRg1ENj8bjdPPHoA9itZh4b/+JRj9/46xrGPV02H0mzuEgyDiR5EmLCGXXPaDp06Y7b7ea1//6HnzftxefzYTQa6dMthVEP/rtG52rasm0L33w2kz1pWezPLakw6fkfGQwG4qMjaJUQQoee5zDk0qswHceQspPx7aof+fbjGWzfl4vFYmb800/jdDt55YX/kp5TSFiIjaeeHk+Tps1qJZ7a9MvaNbwyZTLFhww1/SOzyUTP07vw11vuqNLkxV/O/YSZH35atqR6szj6X3o5lw26iE2bNvHiC5MoOpBYioyMpEmTBKLsJrwBA8VOD0VFReTl5R01SRQREUGHdm3oGZFFdOEGfi6wsM0Xjw8jl4XvwtDkTD7fYWL//v0YDQZG3nwzES1a88unU1jyW1klUP+zenH3vX+r9iRvelYW//nXIxSWOGnXIpbcEi/5hcW0SmpBz5gM1nR+gDHnd6LpScxxVd8pEVQFSUlJ7Nu3j44dO7J58+ZK291xxx288cYbAOzZs4dWrY5etqlEkIiIiEjjtnTJApYvWURqZmH5UuQHhYeGkBgfTvv27Rhy5bXExFUchrF39w6Wf7eQPbt3kV9YSlGpmyKHq0KS5lisFjO9uqYw+qGxVT4mPzeHuZ/MYNvWHaTlFOM5ZDJik8lEi/gIkls246LLr6Fdu07l+9L37mLRvDls37mbrLySChMf/5HJZMJqMWOzmLGYjZgOmdQ2EAzi9QVwe/14vGWTz1ZFqN1GWIiV8BArEeGhhIaGEBYWSlh4JNExMcTHNSEmLoH8glw2//YLO7bvwOnyYjIZiYkKZ82mVCwWMxOef5aEJsc/r8rfRt9JZl5ZNZjBYMBgMBAIBIgMD2H4VUNZ+NUC0rILAYiLCuP66//CWf0HHfd5TsbuvamsXf4N6ak7cTgceDxeTEYDVquFiKhoUrr1oWefAUSF1c0b5I8+m8UPC74ht6CI2KhwmkVZ2Ziah8lk5IEx99GjZ8NYHexEeDwevl/yLYsXfcX+rDw8Xh8mo5HoyDDO7ncWQ4ddfcQKoKNZvOBL3poxk0AgSOfkeEJbd2H98mV4vD7CwsIY2KUZzb3b+DnfSCoJWHyldLXn0z7CgCk0gV8d8WQ4LbhcLrxeLyEhZZVkZ0YV0sSbyjcZfr419aVtjwvo37YJrWJCsVtMfLpuL78tn8PY2FVMz+zM3rSyCqLurcL4bZ8Lv99Pm6TmPPnM88c1d9XxWPb910x57a0K2/7cGfafeQ/3Dqlfc7jVBCWCjiE7O7t87OOgQYP4+uuvK207duxYnnjiCQDmzp3L0KFDj9q3EkEiIiIictBPK77ju2/mk5aRR1Z+SYVP2w0GA9ERocRF2PH6A+QWOStMRH0og8FAZFgIESEWwkIshIeHEhMTS7PEJCx2O87SUowmI1269SQ5pcNJvdHyuN18Oed9NqxbR2pWIQ7n71VGRqORhOgwDAZwuHxHTPyEhtiJi7ARFW4jMjKcuCbNaNm2E63adiYmJo5wu/WI1QDBYJBSt5f8wgLS9+xg356t5GelU1JYiMPpxOn2UeryUeLyUeJwVZjv6GR0TE7g8WNU/1Rm+dJvWPntArxeH207dyE8IppZn3xRoTLLaDTSs3My9z40tsFOdFzTpr3yDD/8uBmP5/fKsWGXXczVI0bWXVB1wOl0YrPZTjpR8tXcj5nxwacVtsXFxjCoZQnzzOdw+cVD6NcmgbhwGx6fn61Zxazdm8uyzXswpC4joXgzSTYvCVYv+e4ge71hbI/tT3xyN248pzNdE6OPOGwwu9jF3z9ayl9zXuPbgnbs2pNavi+peRPGPzfxiHNVVae777i1fK6rhLgYLrvtfi46vfK5vk4lx5OLaNizbZ2g3Nzc8sfHmgA6Li6u/HFaWtph+91ud/lM6VD25IuIiIiIAPTqdx69+pXNk5GWupMFn3/E7t1p7M8txelyk19USn7RH6uG7MRG2omNCichoQltT+tCrz4DCA2rnclLrTYbw64dybBrIeD38+3CuaxcvpTU9HyKHa7yCpiDYiLDaBodQtPmTeh0eh969z2X0JCqLSV9KIPBQLjdSri9CS2bNoE+/Y7Yzuvzsy89jZ2b15O+dyf5OdmUlpTicHnxeAN4fAe/yqqLvD4/ZpOJELuFJlEhREWGkZZZUD6U64IL/3T8T9IBZ/cfxNl/qPDxelwsWLiE/CIH4aF2/vLnoZx/yZUnfI7GYORdD+MteJDlm3Px+Xz06NKu0SWBgEpX2zpegy8fjs8f5P1ZswFo0Syejgk+EoY/z9SUhAqJWKvZRNfEaLomRvPXvm0JBs8nGIQ9eaVkFDnpFGplaJiNhIhj/04nRNh599YLmfJ1HL1/fJai2Hhy8/KwWsz8/R+P1ngSCKBT+zasWruxbBhmElzYvX2Nn7MhapSJoPz8/PLHNpvtqG0P3V9YWHjY/vHjx5dXDImIiIiIVCapVQq3jvonAH6fj9WrlvLr2pVkZmRiNplIapVMnwGDaN+hblccO5TRZGLQ4GEMGjyMYDDIj0sXs/anlQSDASwWM937DKBXr7Mx1uCkwn9kMZto3TKZ1i2Tj9nW5w9Q4iglLCQUi/n3N6EORymvv/g0dnsIAwYNqdb4hg67nqHDrsfn82EymWp8wutTgclo5Pr7nyL+09dpmtyF/gMurOuQGryhw66mRYskls6fRWjLFIYMu4XE6NBjHlc2xBHaxIfTJv7Eks+jLuzBxg7/JXT+i2wvbs7gq0ZUuhpZdbv7/ocJnfoyIcEiel56o37/KtEoh4atWLGCs88um6H/hhtuYMaMGZW2nTZtGrfdVraU4dNPP80jjzxSYf+RKoJatmypoWEiIiIiIiIiUis0NOwYDn1SXK7KZ2n/4/4jPZk2m+2YVUUiIiIiIiIiIvVB7dVw1iOHrvx1rDl9Dh0Olpx87PJTEREREREREZH6qlEmgiIiIkhKSgJg3759R2176P5u3brVaFwiIiIiIiIiIjWpUSaCoGzZeIAdO3bg9Xorbbdp0yYA2rVrp4ogEREREREREWnQGm0iaPjw4UDZHEDr1q07Yhuv18tPP/1Uob2IiIiIiIiISEPVaBNBQ4YMoW3btgB8/PHHR2wzf/58iouLsVgsjBo1qjbDExERERERERGpdo02EWQ0Gpk6dSoGg4GpU6eSnZ1dYX8gEODJJ58E4IknniifU0hEREREREREpKFqtIkgKJsnaNq0aTgcDi699FJ27twJlK0UNnLkSFavXs3o0aP5xz/+UceRioiIiIiIiIicPHNdB1DXbr75Zvr06cOkSZMYPHgwPp+PYDBIt27dWLhwIRdddFFdhygiIiIiIiIiUi0MwWAwWNdBnEqKioqIioqisLCQyMjIug5HRERERERERE5xx5OLaNRDw0REREREREREGhMlgkREREREREREGgklgkREREREREREGgklgkREREREREREGgklgkREREREREREGolGv3x8dTu4CFtRUVEdRyIiIiIiIiIijcHBHERVFoZXIqiaFRcXA9CyZcs6jkREREREREREGpPi4mKioqKO2sYQrEq6SKosEAiwf/9+IiIiMBgMtXLO3r17s3r16gZ/nuruv7r6KyoqomXLluzdu5fIyMhqiEzqm9r6HWqITpXnpj5fR13HVpvnr8lz1UTf1dGn7iGNQ13/HtdXp9LzUl+vpa7j0j2kZvvUPaRxqK6fv2AwSHFxMYmJiRiNR58FSBVB1cxoNJKUlFSr5zSZTLXywlDT56nu/qu7v8jISL0An6Jq63eoITpVnpv6fB11HVttnr8mz1UTfVdnn7qHnNrq+ve4vjqVnpf6ei11HZfuIbXTp+4hp7bq/Fk5ViXQQZos+hQwatSoU+I81d1/bT0v0vDpZ6Vyp8pzU5+vo65jq83z1+S5aqLvuv6/kYZDPytHdio9L/X1Wuo6Lt1DardPOTXVxc+KhoaJHENRURFRUVEUFhYqEy8iIsdF9xARETlRuodITVFFkMgx2Gw2Hn/8cWw2W12HIiIiDYzuISIicqJ0D5GaokSQyDHYbDbGjh1bbS/AmZmZ3HHHHSQnJxMeHk6fPn344osvqqVvERGpX6r7HvLdd99x/vnnEx4eTmhoKAMGDGDRokXV0reIiNQv1X0POZTD4eD5559n3rx51d631H9KBInUopycHIYMGUJsbCzPPPMMjz76KDt37uTKK69k6dKldR2eiIjUY0uXLmXIkCGEhoYyZMgQmjRpwtKlS7nkkkv0h7yIiFSJ2+3mpZdeom3btjz88MNkZWXVdUhSB7RqmEgteuGFF5gxYwadO3cu39ahQweuvvpqZs+eTf/+/eswOhERqa+CwSAPPvggP/74I126dAHA4/Fw2223MWPGDP7v//6PIUOG1HGUIiJS361fv57rrruOn3/+menTp9d1OFJHVBEkUouuu+66CkkgoPz7uLi4ughJREQagB9//JEbb7yxPAkEYLVaeemllzAYDGzatKkOoxMRkYaid+/eJCQk0KZNm7oOReqQEkFyygkGg3zyyScUFRXVdSiHOfQP+IOWL19O+/btueuuu+ogIhEROVR9vYekpKRw++23H7Y9OjqahIQEEhMT6yAqERERaYiUCJJTRjAYZNasWXTv3p3hw4eTl5dXpeN27drFqFGjaNeuHa1btyYpKYlhw4bxww8/1HDEZZN+vvDCC3z77bfExsbW+PlEROTI6vs9JCEhAavVeth2n89HXl4ew4cPr9bziYiIyKlLiSBp8ILBIB9//DGnn34611xzDb/++muVj503bx7du3dn5cqVLFy4kN27d/PLL79gsVgYOHAg48ePr5GYFy9ezGWXXcb555/Pb7/9xtlnn8369etr5FwiIlK5hngPOdTChQuJjIzkwQcfrPFziYjIsdXXylKRQykRJA3e/PnziYmJYfny5Vx88cVVPu7nn3/mmmuuIRAIMHfuXFJSUoCyuXpmzpxJ165defTRR2tkErWBAwfy/vvvs2zZMoYPH05qaio33ngjwWCw2s8lIiKVa4j3kIOCwSDPPvssb7zxBk2bNq2x84iIyLHV98pSkUMpESQN3uDBgxk0aBDh4eH07du3SscEg0FuuukmSktLueWWW2jRokWF/WazmX/9618AjBkzhvz8/PJ9I0eOxGAwVPlr/vz5h53faDQSERFBv379mDVrFldeeSW//PILe/bsOYlnQkREjldDvIcc9PzzzzNs2DCuuuqqE7hyERGpDg29slQaJy0fL6cUo7Fquc25c+fy22+/AXDNNdccsc1ll11GSEgI+fn5vPjii4wdOxaA2267jYEDB1Y5pm7duh2zzYgRI5gzZw65ubm0bt26yn2LiEj1aUj3kA8//BCfz8fDDz9c5b5ERKT6HVpZ+uc//5mFCxdW6biDlaXBYJC5c+eWf6hwsLK0Z8+ePProo7Ro0YIbb7yx/LiRI0fy7rvvVjm+r776iksuueT4LkpOeUoESaM0c+ZMoOxT2969ex+xTUhICGeccQYrVqzgvffeK/8jvn///vTv379a47FYLBiNRtq3b1+t/YqISPWr63vI559/zpYtW/j3v/99Uv2IiMjJGzx4cPnjvn37VikRdGhl6ejRoyutLL3mmmsYM2YMQ4cOJSYmBqiZD6Wl8VEiSBqlZcuWAdC2bVvsdnul7bp27cqKFSvYvn07qamptGrVqkbi+frrrxk5ciSRkZE10r+IiFSfuryHzJ8/nx9//JEnn3zysH1jx47lsccew2QynfR5RETk+NVGZWlNfCgtjY/mCJJGJzs7m3379gGQlJR01LaJiYnlj3/55ZeTOq/P56N169b06dOHJUuWlG//4IMPWLduHRMmTDip/kVEpObV1T0Eyj40uP7669m2bRt/+ctfKnz16tULl8ulJJCISANwPJWlAO+9915thSaNhCqCpNHJzc0tf3ywxLIycXFx5Y/T0tJO6rxms5lLLrmEjz76iIsvvpjevXvTtWtXzj77bJYsWYLZrF9HEZH6rq7uIT/++CNXXHEFDoeDDz/88LD9BoPhiNtFRKT+qQ+jEzIzMwFwOBzV1qc0HHrnKY3Ooau32Gy2o7Y9dH9hYeFJn/u1117jtddeO+l+RESkbtTVPaRPnz6UlpaeVB8iIlL3TqaytDoSQWvWrGHu3LlMnz4dgAkTJuD1ehkyZIjmK21ElAiSRs1gMBx1/6El9sFgsKbDERGRBkT3EBEROV51VVl60JlnnsmZZ55ZPueQNE6aI0ganUMnZHa5XEdte+h+TeQsIiK6h4iIyMmoy9EJIgcpESSNzqEllUVFRUdte+gLbnJyco3FJCIiDYPuISIiUl1UWSp1RYkgaXQiIiLKx+MeHJ9bmUP3d+vWrUbjEhGR+k/3EBERORmqLJX6QIkgaZQGDRoEwI4dO/B6vZW227RpEwDt2rXTp7kiIgLoHiIiIidOlaVSHygRJI3S8OHDgbIs+7p1647Yxuv18tNPP1VoLyIionuIiIicKFWWSn2gRJA0SkOGDKFt27YAfPzxx0dsM3/+fIqLi7FYLIwaNao2wxMRkXpM9xARETkZqiyVuqZEkJxSMjIyyh87HI5K2xmNRqZOnYrBYGDq1KlkZ2dX2B8IBHjyyScBeOKJJ8qz9iIicurSPURERGqDKkulrikRJKeM9evX8+GHH5Z/P3nyZNxud6XtBw0axLRp03A4HFx66aXs3LkTKBuLO3LkSFavXs3o0aP5xz/+UeOxi4hI3dI9REREaosqS6WuKREkDd7MmTNp0qQJp59+OgUFBeXbX331VSIjI2ndujUej+eIx958882sXbuW7t27M3jwYNq2bUuPHj0oLCxk4cKFvPzyyxiN+jURETlV6R4iIiLVRZWl0lAYgsFgsK6DEBEREREREWmo1q9fz3nnnVf+ocLdd9/NpEmTsNlslR7z9ttvc+edd3LGGWfwwQcfkJKSQmFhIffeey8zZsxg9OjRvPjii/pQQaqdEkEiIiIiIiIiJ2DmzJmMGTPmsKoeAKvVSvPmzdm6dStWq/WIx//2229MmjSJH374AZ/PRzAYpFu3bowePZqLLrqopsOXRkqJIBERERERERGRRkI1ZiIiIiIiIiIijYQSQSIiIiIiIiIijYQSQSIiIiIiIiIijYQSQSIiIiIiIiIijYQSQSIiIiIiIiIijYQSQSIiIiIiIiIijYQSQSIiIiIiIiIijYQSQSIiIiIiIiIijYQSQSIiIiIiIiIijYQSQSIiIiIiIiIijYQSQSIiIiIiIiIijYQSQSIiIiIiIiIijYQSQSIiItLgud1uFixYwOjRo0lOTq6TGL799lvmzp1bpbabNm3CYDDw2GOP1XBUIiIiIhUpESQiIiIN3rRp05g8eTJTpkwhNTX1pPvbvXs3BoMBg8FA27ZtGThwIAMHDiQjI+OwtmvWrOFPf/oTF1xwAWvWrKlS/7NnzwZgyJAh9O3bl8jIyPLz2e32I57nSNLS0rBYLBWO7dGjB06ns+oXe4LGjBnDwIED6du3L0ajEYPBwNixY2v8vCIiInJyzHUdgIiIiMjJuueee7jhhhuIioqq1n7btm3L1q1bMRoP/+ysoKCAN954g8zMTFauXHlc/c6ePZvk5GT69evHqlWryMvLo02bNhQVFeF2u5k8eTLjxo07Zj+vvPIKPp+v/PtVq1Zx+umnH1csJ+qFF14of/zPf/6TZ599tlbOKyIiIidHFUEiIiJySoiMjKz2PpOSko6YBAKIiorioYceYsKECQwePLjKfe7du5effvqJYcOGlW+LjY2lc+fO5d+/+uqrOByOo/bjcrl44403ypNfcXFxtZYE+qNOnTrVyXlFRETk+CkRJCIiInICDAZD+WO73V7l4w4OCzs0EQRgs9no2bMnAHl5ebz99ttH7ee9997DYrFw6aWXAhAeHl7lGERERKTxUiJIREREpBbNnj2bhIQEzjnnnMP23XzzzcTGxgIwadIkAoFApf28/PLL3HPPPVgslhqLVURERE49SgSJiIjIKWvLli2cccYZ5ZMpR0ZGcvHFF9dZPDk5Ofzwww9cfvnlmEymw/aHhYVx1113AbBjxw7mzJlzxH6WLFnCli1byttWprS0lBkzZvD4448DZUPOOnbsSEhICH369GHRokVHPG7Xrl3ceuutnH/++fTv358uXbowfvz4Yw5XExERkfpPiSARERE5ZXXs2JGPP/6YsLAwXnzxRTIzM1m4cGGdxTN37lz8fv9hw8IONXr0aKxWKwATJkw4YpuXXnqJ66+/nvj4+CPu9/v93HTTTTRr1owbb7yR7777jjFjxvDAAw/gcrlwuVysXr2aIUOGsGDBggrHLlmyhAEDBjBixAi+/fZbli5dyp/+9CceffRRBg8eTDAYPMGrFxERkfpAiSARERE5ZW3cuJGRI0eydOlS7rvvPkJCQuo0ntmzZxMREcGFF15YaZvmzZszYsQIAFasWMGKFSsq7N+zZw9z585lzJgxlfZhMpl48803ueWWWwD46aefiIyMJDc3lz179rB27VoSExPx+Xzcdddd+P1+APbt28fll1/Oww8/zKBBg8r7u+GGGwD4/vvv2bFjxwldu4iIiNQPSgSJiIjIKWnJkiXcfvvtfPDBB5xxxhl1HQ4lJSUsWrSIwYMHY7PZjtr2gQceKH/8x6qgyZMnM3DgQLp27XrUPiwWS/kqYqeddhr/+c9/CA0NBeCMM87gxRdfBGD37t0sXboUgKeeegqv18sdd9xRoa8zzzyTxx9/nIceeoiUlJQqXK2IiIjUV0oEiYiIyCnn/fff5+qrr+azzz4jKSmprsMBYN68ebjdbq666qpjtu3WrRt/+tOfAJgzZ055FY7D4eDNN988ajXQoYzGsj/1wsLCDtt35ZVX0rRpUwB++eUXoKxiqU2bNkdcBW3s2LE899xz5X2KiIhIw6Q7uYiIiJxyxo0bR05ODq+88kpdh1Ju9uzZ2Gw2hgwZUqX2Dz74IACBQIBJkyYBMH36dBISEsqXjD8ZZrOZTp06AVBcXExRUREZGRnExMScdN8iIiJSfykRJCIiIqecmTNnEhkZyRNPPFGnk0Mf5Ha7mTdvHoMGDSIiIqJKx1x00UV0794dgLfffpvc3Fxeeukl7rvvPgwGQ7XE1bx5cwBiYmIoLi4GIC0trVr6FhERkfpJiSARERE55bRt25Zp06YRCAQYMWIEqampdRrPN998Q1FR0VFXCzuSg3MFORwOrrvuOtLT0xk5cmS1xZWXlwfA6aefTmxsLEajkdTUVDZv3lzpMVlZWdV2fhEREal9SgSJiIjIKWn48OHce++95ObmMnz4cDweT53FMnv2bIxGI5dffnmlbXw+X/nqXQeNGDGCxMREABYtWsStt95KeHh4tcW1bds2WrZsSd++fQkJCaFHjx4APPLII0ds/8orr7Bx48ZqO7+IiIjUPiWCRERE5JQQCAQO2zZhwgR69erF6tWrGTVqVI2d2+l0VhpDIBBg7ty5nHPOOTRp0qTSPnJzc8nNza2wzWKxcO+99wJlS8IffHwoh8MBQGlpaaV9u93uw7YtXryYXbt2MXbsWMxmMwCjR48Gyiaovummm8jIyCi/vueee45ly5YxcODASs8jIiIi9Z8SQSIiInJKWLNmTfnjvXv3AmC1Wvnoo48wm828+eabjBo1qjxxUl1yc3PLl19ftmwZPp+vwv6lS5eSlZV11GFh69evZ9u2bcybN++w4++8807CwsK48sorSU5OrrDP5XKxevVqAHJycli7du0R+//xxx955ZVXyiuO9u/fz+jRo7n99tu55ZZbytvddNNNDB8+HCibmDoxMZGEhAQiIyOZMWMGU6ZMqcpTIiIiIvWYEkEiIiLS4F100UX07du3/Pv+/fszdOhQAO65557y5Morr7xCYmJitSQ0/H4/vXr1Ijk5mf379wNlVTaJiYkVkj6zZ88GOGIiaNeuXfTq1YtevXrh9/v57rvvSEpK4uGHHy5vExMTwy233HLYkvHDhw8nKSmJ3bt3l2/r168fAwYMKJ/4+dDt6enpDBgwgIEDBzJ8+HD+/ve/8/rrr1doZzAYeP/995kwYQIdO3bEYrFgs9m4//77Wb58OdHR0SfyVImIiEg9YggGg8G6DkJERESkPtm9ezdt2rThvPPOY8mSJXUdzgl75513uPnmm2v8Og6e5/HHH2fs2LE1dh4RERE5eaoIEhERERERERFpJJQIEhEREamECqdFRETkVKNEkIiIiEgltmzZQmFhYV2HccIOrmLm8Xhq9Dxbt26t0f5FRESk+pjrOgARERGR+sZsNpev0HXOOecQHx8PwAcffECzZs3qMrTjsn79egA2b95MUVERkZGR1db3mDFjWLduHV6vl/3795OcnKzJpEVERBoATRYtIiIicorJysriwgsvZMOGDeXboqKiOOOMMxr05NciIiJy8pQIEhERERERERFpJDRHkIiIiIiIiIhII6FEkIiIiIiIiIhII6FEkIiIiIiIiIhII6FEkIiIiIiIiIhII6FEkIiIiIiIiIhII6FEkIiIiIiIiIhII6FEkIiIiIiIiIhII6FEkIiIiIiIiIhII/H/xMTBOT6KJncAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib.lines import Line2D\n", + "\n", + "variable = 'h'\n", + "\n", + "zbi = cosmo_camb['GCsp'].derivs_dict[variable]['z_bins']\n", + "dPdtheta_camb = cosmo_camb['GCsp'].derivs_dict[variable]\n", + "dPdtheta_symb = cosmo_symb['GCsp'].derivs_dict[variable]\n", + "\n", + "# Create figure and axis objects\n", + "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 10), sharex=True, gridspec_kw={'height_ratios': [3, 1]})\n", + "epser = 4\n", + "# Plot the data\n", + "for ii, zz in enumerate(zbi):\n", + " ax1.semilogx(cosmo_camb['GCsp'].Pk_kgrid, dPdtheta_camb[ii][0, :], ls='-', color=f'C{ii}')\n", + " ax1.semilogx(cosmo_symb['GCsp'].Pk_kgrid, dPdtheta_symb[ii][0, :], ls='--', color=f'C{ii}', label=f'z = {zz:.3f}')\n", + " \n", + " # Calculate and plot the ratio\n", + " ratio = 100*(np.abs(((dPdtheta_camb[ii][0, :] - dPdtheta_symb[ii][0, :]))/ (dPdtheta_camb[ii][0, :]+epser)))\n", + " ax2.semilogx(cosmo_camb['GCsp'].Pk_kgrid, ratio, color=f'C{ii}', label=f'z = {zz:.3f}')\n", + "\n", + "# Create custom legend for CAMB and Symbolic\n", + "solver_legend_elements = [\n", + " Line2D([0], [0], color='black', ls='-', label='CAMB'),\n", + " Line2D([0], [0], color='black', ls='--', label='Symbolic')\n", + "]\n", + "solver_legend = ax1.legend(handles=solver_legend_elements, loc='best', title='Solver', fontsize=10)\n", + "\n", + "# Add the solver legend to the plot\n", + "ax1.add_artist(solver_legend)\n", + "\n", + "# Create legend for redshift values\n", + "z_legend = ax1.legend(title='Redshift', loc='center left', fontsize=10)\n", + "\n", + "# Set labels and title for the main plot\n", + "ax1.set_ylabel(f'dPobs/d{variable}', fontsize=18)\n", + "ax1.set_title(f'Derivative of Pobs(k, mu) with respect to {variable}', fontsize=19)\n", + "\n", + "# Set labels for the ratio plot\n", + "ax2.set_xlabel('k [1/Mpc]', fontsize=18)\n", + "ax2.set_ylabel(r'% diff CAMB/Symb', fontsize=12)\n", + "\n", + "# Add a horizontal line at y=1 for reference in the ratio plot\n", + "ax2.axhline(y=1, color='black', linestyle=':', linewidth=0.5)\n", + "\n", + "# Set y-limits for the ratio plot (adjust as needed)\n", + "ax2.set_ylim(-1, 10)\n", + "\n", + "# Adjust layout and display the plot\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib.lines import Line2D\n", + "\n", + "variable = 'ns'\n", + "\n", + "zbi = cosmo_camb['GCsp'].derivs_dict[variable]['z_bins']\n", + "dPdtheta_camb = cosmo_camb['GCsp'].derivs_dict[variable]\n", + "dPdtheta_symb = cosmo_symb['GCsp'].derivs_dict[variable]\n", + "\n", + "# Create figure and axis objects\n", + "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 10), sharex=True, gridspec_kw={'height_ratios': [3, 1]})\n", + "epser = 6\n", + "# Plot the data\n", + "for ii, zz in enumerate(zbi):\n", + " ax1.semilogx(cosmo_camb['GCsp'].Pk_kgrid, dPdtheta_camb[ii][0, :], ls='-', color=f'C{ii}')\n", + " ax1.semilogx(cosmo_symb['GCsp'].Pk_kgrid, dPdtheta_symb[ii][0, :], ls='--', color=f'C{ii}', label=f'z = {zz:.3f}')\n", + " \n", + " # Calculate and plot the ratio\n", + " ratio = 100*(np.abs(((dPdtheta_camb[ii][0, :] - dPdtheta_symb[ii][0, :]))/ (dPdtheta_camb[ii][0, :]+epser)))\n", + " ax2.semilogx(cosmo_camb['GCsp'].Pk_kgrid, ratio, color=f'C{ii}', label=f'z = {zz:.3f}')\n", + "\n", + "# Create custom legend for CAMB and Symbolic\n", + "solver_legend_elements = [\n", + " Line2D([0], [0], color='black', ls='-', label='CAMB'),\n", + " Line2D([0], [0], color='black', ls='--', label='Symbolic')\n", + "]\n", + "solver_legend = ax1.legend(handles=solver_legend_elements, loc='best', title='Solver', fontsize=10)\n", + "\n", + "# Add the solver legend to the plot\n", + "ax1.add_artist(solver_legend)\n", + "\n", + "# Create legend for redshift values\n", + "z_legend = ax1.legend(title='Redshift', loc='center left', fontsize=10)\n", + "\n", + "# Set labels and title for the main plot\n", + "ax1.set_ylabel(f'dPobs/d{variable}', fontsize=18)\n", + "ax1.set_title(f'Derivative of Pobs(k, mu) with respect to {variable}', fontsize=19)\n", + "\n", + "# Set labels for the ratio plot\n", + "ax2.set_xlabel('k [1/Mpc]', fontsize=18)\n", + "ax2.set_ylabel(r'% diff CAMB/Symb', fontsize=12)\n", + "\n", + "# Add a horizontal line at y=1 for reference in the ratio plot\n", + "ax2.axhline(y=1, color='black', linestyle=':', linewidth=0.5)\n", + "\n", + "# Set y-limits for the ratio plot (adjust as needed)\n", + "ax2.set_ylim(-1, 1)\n", + "\n", + "# Adjust layout and display the plot\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib.lines import Line2D\n", + "from matplotlib.ticker import MultipleLocator, AutoMinorLocator\n", + "\n", + "variable = 'Omegab'\n", + "\n", + "zbi = cosmo_camb['GCsp'].derivs_dict[variable]['z_bins']\n", + "dPdtheta_camb = cosmo_camb['GCsp'].derivs_dict[variable]\n", + "dPdtheta_symb = cosmo_symb['GCsp'].derivs_dict[variable]\n", + "\n", + "# Create figure and axis objects\n", + "fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 10), sharex=True, gridspec_kw={'height_ratios': [3, 1]})\n", + "epser = 4\n", + "# Plot the data\n", + "for ii, zz in enumerate(zbi):\n", + " ax1.semilogx(cosmo_camb['GCsp'].Pk_kgrid, dPdtheta_camb[ii][0, :], ls='-', color=f'C{ii}')\n", + " ax1.semilogx(cosmo_symb['GCsp'].Pk_kgrid, dPdtheta_symb[ii][0, :], ls='--', color=f'C{ii}', label=f'z = {zz:.3f}')\n", + " \n", + " # Calculate and plot the ratio\n", + " ratio = 100*(np.abs(((dPdtheta_camb[ii][0, :] - dPdtheta_symb[ii][0, :]))/ (dPdtheta_camb[ii][0, :]+epser)))\n", + " ax2.semilogx(cosmo_camb['GCsp'].Pk_kgrid, ratio, color=f'C{ii}', label=f'z = {zz:.3f}')\n", + "\n", + "# Create custom legend for CAMB and Symbolic\n", + "solver_legend_elements = [\n", + " Line2D([0], [0], color='black', ls='-', label='CAMB'),\n", + " Line2D([0], [0], color='black', ls='--', label='Symbolic')\n", + "]\n", + "solver_legend = ax1.legend(handles=solver_legend_elements, loc='best', title='Solver', fontsize=10)\n", + "\n", + "# Add the solver legend to the plot\n", + "ax1.add_artist(solver_legend)\n", + "\n", + "# Create legend for redshift values\n", + "z_legend = ax1.legend(title='Redshift', loc='center left', fontsize=10)\n", + "\n", + "# Set labels and title for the main plot\n", + "ax1.set_ylabel(f'dPobs/d{variable}', fontsize=18)\n", + "ax1.set_title(f'Derivative of Pobs(k, mu) with respect to {variable}', fontsize=19)\n", + "\n", + "# Set labels for the ratio plot\n", + "ax2.set_xlabel('k [1/Mpc]', fontsize=18)\n", + "ax2.set_ylabel(r'% diff CAMB/Symb', fontsize=12)\n", + "\n", + "# Add a horizontal line at y=1 for reference in the ratio plot\n", + "#ax2.axhline(y=1, color='black', linestyle=':', linewidth=0.5)\n", + "\n", + "# Set y-limits for the ratio plot (adjust as needed)\n", + "ax2.set_ylim(-1, 15)\n", + "ax2.grid(axis='y', which='major', linestyle='-', alpha=0.3, color='gray')\n", + "ax2.grid(axis='y', which='minor', linestyle=':', alpha=0.3, color='gray')\n", + "# Set major and minor tick locations\n", + "ax2.yaxis.set_major_locator(MultipleLocator(5)) # Major grid lines every 5 units\n", + "ax2.yaxis.set_minor_locator(MultipleLocator(1)) # Minor grid lines every 1 unit\n", + "# Adjust layout and display the plot\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "hide_input": false, + "kernelspec": { + "display_name": "cosmicfishpie", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.13" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/Example_Fisher-WL_3x2photo-Symbolic-Euclid.ipynb b/notebooks/Example_Fisher-WL_3x2photo-Symbolic-Euclid.ipynb new file mode 100644 index 0000000..e838723 --- /dev/null +++ b/notebooks/Example_Fisher-WL_3x2photo-Symbolic-Euclid.ipynb @@ -0,0 +1,858 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "52f4ef1d", + "metadata": {}, + "outputs": [], + "source": [ + "#Importing main module\n", + "from cosmicfishpie.fishermatrix.cosmicfish import FisherMatrix\n", + "import numpy as np" + ] + }, + { + "cell_type": "markdown", + "id": "0873f314", + "metadata": {}, + "source": [ + "# Choose input parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "b01d21f8", + "metadata": {}, + "outputs": [], + "source": [ + "#Define the observables you are interested in\n", + "observables = [['GCph','WL']]\n", + "\n", + "runRootName = \"LCDM_5p_symb\"\n", + "#Input options for CosmicFish (global options)\n", + "options = {'accuracy': 1,\n", + " #'outroot': 'LCDM_camb_int-full-HMc2020',\n", + " 'results_dir': 'results/',\n", + " 'derivatives': '3PT',\n", + " 'nonlinear': True,\n", + " 'feedback': 1,\n", + " 'survey_name': 'Euclid',\n", + " 'specs_dir' : '../cosmicfishpie/configs/default_survey_specifications/',\n", + " #'survey_name_photo': 'Euclid-Photometric-ISTF-Pessimistic',\n", + " #'survey_name_spectro': 'Euclid-Spectroscopic-'+'ISTF-Pessimistic',\n", + " 'cosmo_model' : 'LCDM',\n", + " 'code': 'symbolic',\n", + " #'camb_config_yaml':'../boltzmann_yaml_files/camb/default.yaml'\n", + " }\n", + "\n", + "specas = {\n", + " 'ISTF-Pessimistic': {'specs_dir': '../cosmicfishpie/configs/default_survey_specifications/'},\n", + " 'DeboleR1': {'specs_dir': '../cosmicfishpie/configs/other_survey_specifications/'}\n", + "}\n", + "\n", + "#Internally Cosmicfish converts these Parameters to the coresponding parameters in CAMB or CLASS \n", + "fiducial = {\n", + " \"Omegam\":0.3186,\n", + " #'omch2':0.121259,\n", + " #\"ombh2\":0.0227,\n", + " \"Omegab\": 0.0491989,\n", + " #\"w0\":-1.0,\n", + " #\"wa\":0.,\n", + " \"h\":0.6737,\n", + " \"ns\":0.966,\n", + " #\"logAs\":3.04,\n", + " \"sigma8\" : 0.81,\n", + " #\"mnu\":0.06,\n", + " #\"Neff\":3.043\n", + " }\n", + "\n", + "#Parameters to be varied and analyzed and their percentage variation for numerical derivatives\n", + "# IA params and photometric galaxy bias are added automatically to these parameters\n", + "freepars = {\n", + " #'omch2': 0.01,\n", + " #'ombh2': 0.01,\n", + " #'logAs' : 0.01,\n", + " #'w0': 0.01,\n", + " #'wa': 0.01,\n", + " 'Omegab':0.01,\n", + " 'h': 0.01,\n", + " 'ns': 0.01,\n", + " 'sigma8': 0.01,\n", + " 'Omegam':0.01,\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "56ed984f", + "metadata": {}, + "outputs": [], + "source": [ + "runFishers = True\n", + "runCosmo = True" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "d5ce8931", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "****************************************************************\n", + " _____ _ _____ __ \n", + " / ___/__ ___ __ _ (_)___/ __(_)__ / / \n", + " / /__/ _ \\(_- Survey loaded: Euclid-Spectroscopic-ISTF-Pessimistic\n", + "\n", + " -> Survey loaded: Euclid-Photometric-ISTF-Pessimistic\n", + "\n", + " -> Computing cosmology at the fiducial point\n", + "\n", + " ---> Cosmological functions obtained in: 0.16 s\n", + "-->running: LCDM_5p_symb_ISTF-Pessimistic\n", + "\n", + "In class: FisherMatrix ----> Computing photo Fisher matrix\n", + "\n", + "Computing fiducial\n", + "\n", + "Fiducial generated in 2.84 s\n", + "\n", + "Noise added to fiducial\n", + "\n", + "Noisy Cls generated in 0.00 s\n", + "\n", + "Computed covariance matrix\n", + "\n", + "Covmat of Cls generated in 0.48 s\n", + "\n", + "Total calculation in 3.32 s\n", + ">> computing derivs >>\n", + "\n", + " +++ Computing derivative on Omegab\n", + "\n", + "In class: derivatives Derivative on Omegab done! in : 6.03 s\n", + "\n", + " +++ Computing derivative on h\n", + "\n", + "In class: derivatives Derivative on h done! in : 6.15 s\n", + "\n", + " +++ Computing derivative on ns\n", + "\n", + "In class: derivatives Derivative on ns done! in : 6.09 s\n", + "\n", + " +++ Computing derivative on sigma8\n", + "\n", + "In class: derivatives Derivative on sigma8 done! in : 6.37 s\n", + "\n", + " +++ Computing derivative on Omegam\n", + "\n", + "In class: derivatives Derivative on Omegam done! in : 6.23 s\n", + "\n", + " +++ Computing derivative on b1\n", + "\n", + "In class: derivatives Derivative on b1 done! in : 5.95 s\n", + "\n", + " +++ Computing derivative on b2\n", + "\n", + "In class: derivatives Derivative on b2 done! in : 6.06 s\n", + "\n", + " +++ Computing derivative on b3\n", + "\n", + "In class: derivatives Derivative on b3 done! in : 6.00 s\n", + "\n", + " +++ Computing derivative on b4\n", + "\n", + "In class: derivatives Derivative on b4 done! in : 6.01 s\n", + "\n", + " +++ Computing derivative on b5\n", + "\n", + "In class: derivatives Derivative on b5 done! in : 5.98 s\n", + "\n", + " +++ Computing derivative on b6\n", + "\n", + "In class: derivatives Derivative on b6 done! in : 8.56 s\n", + "\n", + " +++ Computing derivative on b7\n", + "\n", + "In class: derivatives Derivative on b7 done! in : 8.29 s\n", + "\n", + " +++ Computing derivative on b8\n", + "\n", + "In class: derivatives Derivative on b8 done! in : 7.66 s\n", + "\n", + " +++ Computing derivative on b9\n", + "\n", + "In class: derivatives Derivative on b9 done! in : 7.77 s\n", + "\n", + " +++ Computing derivative on b10\n", + "\n", + "In class: derivatives Derivative on b10 done! in : 7.88 s\n", + "\n", + " +++ Computing derivative on AIA\n", + "\n", + "In class: derivatives Derivative on AIA done! in : 7.80 s\n", + "\n", + " +++ Computing derivative on betaIA\n", + "\n", + "In class: derivatives Derivative on betaIA done! in : 7.43 s\n", + "\n", + " +++ Computing derivative on etaIA\n", + "\n", + "In class: derivatives Derivative on etaIA done! in : 7.96 s\n", + "\n", + "In class: PhotoCov -->> Derivatives computed in 124.23 s\n", + "\n", + "In class: FisherMatrix Computing Fisher matrix\n", + "\n", + " Finished calculation of Fisher Matrix for ['GCph', 'WL'] in: 0.07 s\n", + "\n", + " Fisher matrix calculation finished in 127.91 s\n", + "\n", + " Fisher matrix exported: results//CosmicFish_v1.2.3_LCDM_5p_symb_ISTF-Pessimistic_GCphWL_fishermatrix.txt\n", + "\n", + "\n", + "In class: FisherMatrix CosmicFish settings and Survey specifications exported: results//CosmicFish_v1.2.3_LCDM_5p_symb_ISTF-Pessimistic_GCphWL_fishermatrix_specifications.dat\n", + "****************************************************************\n", + " _____ _ _____ __ \n", + " / ___/__ ___ __ _ (_)___/ __(_)__ / / \n", + " / /__/ _ \\(_- Survey loaded: Euclid-Spectroscopic-ISTF-Pessimistic\n", + "\n", + " -> Survey loaded: Euclid-Photometric-DeboleR1\n", + "\n", + " -> Computing cosmology at the fiducial point\n", + "\n", + " ---> Cosmological functions obtained in: 0.25 s\n", + "-->running: LCDM_5p_symb_DeboleR1\n", + "\n", + "In class: FisherMatrix ----> Computing photo Fisher matrix\n", + "\n", + "Computing fiducial\n", + "\n", + "Fiducial generated in 2.21 s\n", + "\n", + "Noise added to fiducial\n", + "\n", + "Noisy Cls generated in 0.00 s\n", + "\n", + "Computed covariance matrix\n", + "\n", + "Covmat of Cls generated in 0.24 s\n", + "\n", + "Total calculation in 2.45 s\n", + ">> computing derivs >>\n", + "\n", + " +++ Computing derivative on Omegab\n", + "\n", + "In class: derivatives Derivative on Omegab done! in : 4.58 s\n", + "\n", + " +++ Computing derivative on h\n", + "\n", + "In class: derivatives Derivative on h done! in : 4.25 s\n", + "\n", + " +++ Computing derivative on ns\n", + "\n", + "In class: derivatives Derivative on ns done! in : 4.64 s\n", + "\n", + " +++ Computing derivative on sigma8\n", + "\n", + "In class: derivatives Derivative on sigma8 done! in : 4.37 s\n", + "\n", + " +++ Computing derivative on Omegam\n", + "\n", + "In class: derivatives Derivative on Omegam done! in : 4.76 s\n", + "\n", + " +++ Computing derivative on b1\n", + "\n", + "In class: derivatives Derivative on b1 done! in : 4.14 s\n", + "\n", + " +++ Computing derivative on b2\n", + "\n", + "In class: derivatives Derivative on b2 done! in : 4.28 s\n", + "\n", + " +++ Computing derivative on b3\n", + "\n", + "In class: derivatives Derivative on b3 done! in : 4.48 s\n", + "\n", + " +++ Computing derivative on b4\n", + "\n", + "In class: derivatives Derivative on b4 done! in : 4.12 s\n", + "\n", + " +++ Computing derivative on b5\n", + "\n", + "In class: derivatives Derivative on b5 done! in : 4.48 s\n", + "\n", + " +++ Computing derivative on b6\n", + "\n", + "In class: derivatives Derivative on b6 done! in : 4.62 s\n", + "\n", + " +++ Computing derivative on AIA\n", + "\n", + "In class: derivatives Derivative on AIA done! in : 4.39 s\n", + "\n", + " +++ Computing derivative on betaIA\n", + "\n", + "In class: derivatives Derivative on betaIA done! in : 4.41 s\n", + "\n", + " +++ Computing derivative on etaIA\n", + "\n", + "In class: derivatives Derivative on etaIA done! in : 4.18 s\n", + "\n", + "In class: PhotoCov -->> Derivatives computed in 61.70 s\n", + "\n", + "In class: FisherMatrix Computing Fisher matrix\n", + "\n", + " Finished calculation of Fisher Matrix for ['GCph', 'WL'] in: 0.02 s\n", + "\n", + " Fisher matrix calculation finished in 64.55 s\n", + "\n", + " Fisher matrix exported: results//CosmicFish_v1.2.3_LCDM_5p_symb_DeboleR1_GCphWL_fishermatrix.txt\n", + "\n", + "\n", + "In class: FisherMatrix CosmicFish settings and Survey specifications exported: results//CosmicFish_v1.2.3_LCDM_5p_symb_DeboleR1_GCphWL_fishermatrix_specifications.dat\n" + ] + } + ], + "source": [ + "FishersList = []\n", + "cosmoFM = dict()\n", + "for obse in observables:\n", + " for speci in specas.keys():\n", + " options['specs_dir'] = specas[speci]['specs_dir']\n", + " options['outroot'] = runRootName + '_' + speci\n", + " options['survey_name_photo'] = 'Euclid-Photometric-' + speci\n", + " if runCosmo:\n", + " cosmoFM[options['outroot']] = FisherMatrix(fiducialpars=fiducial, \n", + " freepars=freepars, \n", + " options=options,\n", + " observables=obse,\n", + " cosmoModel=options['cosmo_model'],\n", + " surveyName=options['survey_name'],\n", + " )\n", + " print(\"-->running: \", options['outroot'])\n", + " if runFishers:\n", + " FishersList.append(cosmoFM[options['outroot']].compute())" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f104b1c7", + "metadata": {}, + "outputs": [], + "source": [ + "#cfg.fiducialcosmo.cambcosmopars" + ] + }, + { + "cell_type": "markdown", + "id": "b4e36b0d", + "metadata": {}, + "source": [ + "# Plot Fishers" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "35deea44", + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "from cosmicfishpie.analysis import fisher_matrix as fm\n", + "from cosmicfishpie.analysis import fisher_operations as fo\n", + "from cosmicfishpie.analysis import fisher_plotting as fpp\n", + "from cosmicfishpie.analysis import colors\n", + "import cosmicfishpie.analysis.fishconsumer as fico" + ] + }, + { + "cell_type": "markdown", + "id": "e3466e5a", + "metadata": {}, + "source": [ + "## Fisher Matrices ISTF pars" + ] + }, + { + "cell_type": "markdown", + "id": "9ea4f837", + "metadata": {}, + "source": [ + "### Loading Fisher Matrices from files" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "bcbf11cb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ii: 0, file name: ./results/CosmicFish_v1.2.3_LCDM_5p_symb_DeboleR1_GCphWL_fishermatrix.txt\n", + "ii: 1, file name: ./results/CosmicFish_v1.2.3_LCDM_5p_symb_ISTF-Pessimistic_GCphWL_fishermatrix.txt\n" + ] + } + ], + "source": [ + "file_list = glob.glob('./results/CosmicFish_v1.2.3*LCDM*fishermatrix.txt')\n", + "file_list.sort()\n", + "for fi, ff in enumerate(file_list):\n", + " print(f\"ii: {fi}, file name: {ff}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "9679bd56", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['./results/CosmicFish_v1.2.3_LCDM_5p_symb_DeboleR1_GCphWL_fishermatrix.txt', './results/CosmicFish_v1.2.3_LCDM_5p_symb_ISTF-Pessimistic_GCphWL_fishermatrix.txt']\n" + ] + } + ], + "source": [ + "file_list_filter = [file_list[ii] for ii in [0,1]]\n", + "print(file_list_filter)\n", + "fisher_list = [fm.fisher_matrix(file_name=ff) for ff in file_list_filter]" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "53fae18d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ii = 0 ;; name = CosmicFish_v1.2.3_LCDM_5p_symb_DeboleR1_GCphWL_fishermatrix\n", + "['Omegab', 'h', 'ns', 'sigma8', 'Omegam', 'b1', 'b2', 'b3', 'b4', 'b5', 'b6', 'AIA', 'betaIA', 'etaIA']\n", + "plot name: 3x2ph Euclid DR1 LCDM\n", + "ii = 1 ;; name = CosmicFish_v1.2.3_LCDM_5p_symb_ISTF-Pessimistic_GCphWL_fishermatrix\n", + "['Omegab', 'h', 'ns', 'sigma8', 'Omegam', 'b1', 'b2', 'b3', 'b4', 'b5', 'b6', 'b7', 'b8', 'b9', 'b10', 'AIA', 'betaIA', 'etaIA']\n", + "plot name: 3x2ph Euclid ISTF-Pess LCDM\n" + ] + } + ], + "source": [ + "Fishes = fisher_list\n", + "#plotFishnames = [fish.name for fish in fisher_list]\n", + "plotFishnames = [\n", + " '3x2ph Euclid DR1 LCDM',\n", + " '3x2ph Euclid ISTF-Pess LCDM' #,\n", + " ]\n", + "for ii, fish in enumerate(fisher_list):\n", + " print(f\"ii = {ii} ;; name = {fish.name}\")\n", + " print(fish.get_param_names())\n", + " print(f\"plot name: {plotFishnames[ii]}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "01811ccb", + "metadata": {}, + "outputs": [], + "source": [ + "fishermatBBN = np.array([[(1/0.00038)**2]])\n", + "parnamesBBN = ['ombh2']\n", + "fiducial['ombh2'] = 0.0227\n", + "fiduBBN=[fiducial['ombh2']]\n", + "fisherBBN = fm.fisher_matrix(fisher_matrix=fishermatBBN, param_names=parnamesBBN,\n", + " fiducial=fiduBBN, param_names_latex=parnamesBBN)\n", + "fisherBBN.get_confidence_bounds()\n", + "Jacovec = np.array([2*fiducial['h']*fiducial['Omegab'], fiducial['h']**2])\n", + "fisherMatBBN_big = Jacovec[:,np.newaxis] @ fishermatBBN @ Jacovec[np.newaxis,:]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "5ebd82fa", + "metadata": {}, + "outputs": [], + "source": [ + "parnamesBBN_big = ['h', 'Omegab']\n", + "fiduBBN_big = [fiducial['h'], fiducial['Omegab']]\n", + "fisherBBN_big = fm.fisher_matrix(fisher_matrix=fisherMatBBN_big, param_names=parnamesBBN_big,\n", + " fiducial=fiduBBN_big, param_names_latex=parnamesBBN_big)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "3b667dd5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "----\n", + "Old Fisher Name: CosmicFish_v1.2.3_LCDM_5p_symb_DeboleR1_GCphWL_fishermatrix\n", + "New Fisher Name: 3x2ph Euclid DR1 LCDM\n", + "Add BBN prior\n", + "Warning in addition: parameter Omegab has different fiducials: 0.049199 and 0.0491989\n", + "Accepted relative tolerance: 0.0005\n", + "----\n", + "Old Fisher Name: CosmicFish_v1.2.3_LCDM_5p_symb_ISTF-Pessimistic_GCphWL_fishermatrix\n", + "New Fisher Name: 3x2ph Euclid ISTF-Pess LCDM\n", + "Add BBN prior\n", + "Warning in addition: parameter Omegab has different fiducials: 0.049199 and 0.0491989\n", + "Accepted relative tolerance: 0.0005\n", + "----\n", + "3x2ph Euclid DR1 LCDM NOpri\n", + "Fisher FoM: 10573.85340728365\n", + "Parameter Omegab, fiducial: 0.049, 1-sigma error: 0.0108, percent error: 22.0%\n", + "Parameter h, fiducial: 0.674, 1-sigma error: 0.0701, percent error: 10.4%\n", + "Parameter ns, fiducial: 0.966, 1-sigma error: 0.0184, percent error: 1.9%\n", + "Parameter sigma8, fiducial: 0.810, 1-sigma error: 0.0088, percent error: 1.1%\n", + "Parameter Omegam, fiducial: 0.319, 1-sigma error: 0.0077, percent error: 2.4%\n", + "Parameter b1, fiducial: 1.138, 1-sigma error: 0.0190, percent error: 1.7%\n", + "Parameter b2, fiducial: 1.202, 1-sigma error: 0.0180, percent error: 1.5%\n", + "Parameter b3, fiducial: 1.255, 1-sigma error: 0.0170, percent error: 1.4%\n", + "Parameter b4, fiducial: 1.319, 1-sigma error: 0.0163, percent error: 1.2%\n", + "Parameter b5, fiducial: 1.389, 1-sigma error: 0.0163, percent error: 1.2%\n", + "Parameter b6, fiducial: 1.663, 1-sigma error: 0.0192, percent error: 1.2%\n", + "Parameter AIA, fiducial: 1.720, 1-sigma error: 0.5295, percent error: 30.8%\n", + "Parameter etaIA, fiducial: -0.410, 1-sigma error: 0.3471, percent error: 84.7%\n", + "----\n", + "3x2ph Euclid ISTF-Pess LCDM NOpri\n", + "Fisher FoM: 112748.77779925255\n", + "Parameter Omegab, fiducial: 0.049, 1-sigma error: 0.0026, percent error: 5.3%\n", + "Parameter h, fiducial: 0.674, 1-sigma error: 0.0198, percent error: 2.9%\n", + "Parameter ns, fiducial: 0.966, 1-sigma error: 0.0086, percent error: 0.9%\n", + "Parameter sigma8, fiducial: 0.810, 1-sigma error: 0.0034, percent error: 0.4%\n", + "Parameter Omegam, fiducial: 0.319, 1-sigma error: 0.0028, percent error: 0.9%\n", + "Parameter b1, fiducial: 1.100, 1-sigma error: 0.0069, percent error: 0.6%\n", + "Parameter b2, fiducial: 1.220, 1-sigma error: 0.0065, percent error: 0.5%\n", + "Parameter b3, fiducial: 1.272, 1-sigma error: 0.0065, percent error: 0.5%\n", + "Parameter b4, fiducial: 1.317, 1-sigma error: 0.0065, percent error: 0.5%\n", + "Parameter b5, fiducial: 1.358, 1-sigma error: 0.0066, percent error: 0.5%\n", + "Parameter b6, fiducial: 1.400, 1-sigma error: 0.0067, percent error: 0.5%\n", + "Parameter b7, fiducial: 1.445, 1-sigma error: 0.0070, percent error: 0.5%\n", + "Parameter b8, fiducial: 1.496, 1-sigma error: 0.0068, percent error: 0.5%\n", + "Parameter b9, fiducial: 1.565, 1-sigma error: 0.0069, percent error: 0.4%\n", + "Parameter b10, fiducial: 1.743, 1-sigma error: 0.0075, percent error: 0.4%\n", + "Parameter AIA, fiducial: 1.720, 1-sigma error: 0.1797, percent error: 10.4%\n", + "Parameter etaIA, fiducial: -0.410, 1-sigma error: 0.1095, percent error: 26.7%\n", + "----\n", + "3x2ph Euclid DR1 LCDM BBNpri\n", + "Fisher FoM: 66755.12971598482\n", + "Parameter Omegab, fiducial: 0.049, 1-sigma error: 0.0021, percent error: 4.3%\n", + "Parameter h, fiducial: 0.674, 1-sigma error: 0.0144, percent error: 2.1%\n", + "Parameter ns, fiducial: 0.966, 1-sigma error: 0.0105, percent error: 1.1%\n", + "Parameter sigma8, fiducial: 0.810, 1-sigma error: 0.0088, percent error: 1.1%\n", + "Parameter Omegam, fiducial: 0.319, 1-sigma error: 0.0076, percent error: 2.4%\n", + "Parameter b1, fiducial: 1.138, 1-sigma error: 0.0187, percent error: 1.6%\n", + "Parameter b2, fiducial: 1.202, 1-sigma error: 0.0177, percent error: 1.5%\n", + "Parameter b3, fiducial: 1.255, 1-sigma error: 0.0168, percent error: 1.3%\n", + "Parameter b4, fiducial: 1.319, 1-sigma error: 0.0161, percent error: 1.2%\n", + "Parameter b5, fiducial: 1.389, 1-sigma error: 0.0161, percent error: 1.2%\n", + "Parameter b6, fiducial: 1.663, 1-sigma error: 0.0191, percent error: 1.1%\n", + "Parameter AIA, fiducial: 1.720, 1-sigma error: 0.5291, percent error: 30.8%\n", + "Parameter etaIA, fiducial: -0.410, 1-sigma error: 0.3467, percent error: 84.6%\n", + "----\n", + "3x2ph Euclid ISTF-Pess LCDM BBNpri\n", + "Fisher FoM: 422475.38891861093\n", + "Parameter Omegab, fiducial: 0.049, 1-sigma error: 0.0008, percent error: 1.5%\n", + "Parameter h, fiducial: 0.674, 1-sigma error: 0.0054, percent error: 0.8%\n", + "Parameter ns, fiducial: 0.966, 1-sigma error: 0.0059, percent error: 0.6%\n", + "Parameter sigma8, fiducial: 0.810, 1-sigma error: 0.0034, percent error: 0.4%\n", + "Parameter Omegam, fiducial: 0.319, 1-sigma error: 0.0028, percent error: 0.9%\n", + "Parameter b1, fiducial: 1.100, 1-sigma error: 0.0068, percent error: 0.6%\n", + "Parameter b2, fiducial: 1.220, 1-sigma error: 0.0063, percent error: 0.5%\n", + "Parameter b3, fiducial: 1.272, 1-sigma error: 0.0063, percent error: 0.5%\n", + "Parameter b4, fiducial: 1.317, 1-sigma error: 0.0064, percent error: 0.5%\n", + "Parameter b5, fiducial: 1.358, 1-sigma error: 0.0065, percent error: 0.5%\n", + "Parameter b6, fiducial: 1.400, 1-sigma error: 0.0066, percent error: 0.5%\n", + "Parameter b7, fiducial: 1.445, 1-sigma error: 0.0068, percent error: 0.5%\n", + "Parameter b8, fiducial: 1.496, 1-sigma error: 0.0067, percent error: 0.4%\n", + "Parameter b9, fiducial: 1.565, 1-sigma error: 0.0068, percent error: 0.4%\n", + "Parameter b10, fiducial: 1.743, 1-sigma error: 0.0074, percent error: 0.4%\n", + "Parameter AIA, fiducial: 1.720, 1-sigma error: 0.1795, percent error: 10.4%\n", + "Parameter etaIA, fiducial: -0.410, 1-sigma error: 0.1093, percent error: 26.7%\n" + ] + } + ], + "source": [ + "Fishes_BBNpri = []\n", + "Fishes_Nopri = []\n", + "choosebase='big' #big base is big Omegas, small is small omegas like cloe\n", + "#parstomarg = ['ombh2','logAs']\n", + "parstomarg = ['Omegab','sigma8']\n", + "for ii, fish in enumerate(Fishes):\n", + " print(\"----\")\n", + " print(\"Old Fisher Name: \", fish.name)\n", + " fish.name = plotFishnames[ii]\n", + " print(\"New Fisher Name: \", fish.name)\n", + " fish = fo.eliminate_parameters(fish, ['betaIA'])\n", + " basename = (fish.name).replace(\"_reduced\",\"\")\n", + " fish.name = basename+\" NOpri\"\n", + " Fishes_Nopri.append(fish)\n", + " print(\"Add BBN prior\")\n", + " if choosebase=='big':\n", + " fishpri = fish + fisherBBN_big\n", + " elif choosebase=='small':\n", + " fishpri = fish + fisherBBN\n", + " fishpri.name = basename+\" BBNpri\"\n", + " Fishes_BBNpri.append(fishpri)\n", + "for fish in Fishes_Nopri+Fishes_BBNpri:\n", + " print(\"----\")\n", + " print(fish.name)\n", + " sigmas = fish.get_confidence_bounds()\n", + " fidus = fish.get_param_fiducial()\n", + " parnames = fish.get_param_names()\n", + " fiww = fo.marginalise(fish, parstomarg)\n", + " deFoM = np.sqrt(fiww.determinant())\n", + " print(\"Fisher FoM: \", deFoM)\n", + " for ii, par in enumerate(parnames):\n", + " print(\"Parameter {:s}, fiducial: {:.3f}, 1-sigma error: {:.4f}, percent error: {:.1f}%\".format(\n", + " par, fidus[ii], abs(sigmas[ii]), abs(100*sigmas[ii]/fidus[ii])))" + ] + }, + { + "cell_type": "markdown", + "id": "d67858de", + "metadata": {}, + "source": [ + "### Plotting the Fisher matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "52270239", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[(0.796078431372549, 0.058823529411764705, 0.1568627450980392),\n", + " (1.0, 0.6470588235294118, 0.0),\n", + " (0.16470588235294117, 0.1803921568627451, 0.5450980392156862),\n", + " (0.0, 0.6, 0.8),\n", + " (0.0, 0.8666666666666667, 0.20392156862745098),\n", + " (0.0, 0.0, 0.0),\n", + " (0.0, 0.75, 0.75),\n", + " (0.796078431372549, 0.058823529411764705, 0.1568627450980392)]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "colorlist = [colors.nice_colors(ii) for ii in range(8)]\n", + "colorlist" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "499c0604", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ii = 0 ;; name = 3x2ph Euclid DR1 LCDM NOpri\n", + "ii = 1 ;; name = 3x2ph Euclid ISTF-Pess LCDM NOpri\n", + "ii = 2 ;; name = 3x2ph Euclid DR1 LCDM BBNpri\n", + "ii = 3 ;; name = 3x2ph Euclid ISTF-Pess LCDM BBNpri\n" + ] + } + ], + "source": [ + "Fishes_all = Fishes_Nopri+Fishes_BBNpri\n", + "for ii, ff in enumerate(Fishes_all):\n", + " print(f\"ii = {ii} ;; name = {ff.name}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "4fc69585", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Omegab', 'h', 'ns', 'sigma8', 'Omegam']\n" + ] + } + ], + "source": [ + "cosmo_pars = Fishes_all[0].get_param_names()[0:5]\n", + "print(cosmo_pars)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "a3133cb2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./plots exists already\n", + "Fisher matrix loaded, label name: 3x2ph Euclid DR1 LCDM NOpri\n", + "Fisher matrix loaded, label name: 3x2ph Euclid ISTF-Pess LCDM NOpri\n", + "Fisher matrix loaded, label name: 3x2ph Euclid DR1 LCDM BBNpri\n", + "Fisher matrix loaded, label name: 3x2ph Euclid ISTF-Pess LCDM BBNpri\n", + "('Fishers names: ', ['3x2ph Euclid DR1 LCDM NOpri', '3x2ph Euclid ISTF-Pess LCDM NOpri', '3x2ph Euclid DR1 LCDM BBNpri', '3x2ph Euclid ISTF-Pess LCDM BBNpri'])\n", + "('parameters to plot: ', ['Omegab', 'h', 'ns', 'sigma8', 'Omegam'])\n", + "X tick labels ---> : ['\\\\Omega_{{\\\\rm b}, 0}', 'h', 'n_{\\\\rm s}', '\\\\sigma_8', '\\\\Omega_{{\\\\rm m}, 0}']\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "chooseind = [0,1, 2, 3]\n", + "plot_options = {'fishers_list': [Fishes_all[ii] for ii in chooseind], \n", + " 'colors': [colorlist[ii] for ii in chooseind],\n", + " 'fish_labels': [Fishes_all[ii].name for ii in chooseind],\n", + " 'plot_pars': cosmo_pars,\n", + " 'axis_custom_factors': {'all':3}, ## Axis limits cover 3-sigma bounds of first Fisher matrix\n", + " 'plot_method': 'Gaussian',\n", + " 'file_format': '.pdf', ##file format for all the plots\n", + " 'outpath' : './plots/', ## directory where to store the files, if non-existent, it will be created\n", + " 'outroot':'Euclid-LCDM5p_3x2ph-BBNyesno' ## file name root for all the plots, extra names can be added individually\n", + " } \n", + "fish_plotter = fpp.fisher_plotting(**plot_options)\n", + "fish_plotter.compare_errors({'yrang':[-200,500], 'ncol_legend':2})" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "400f2274", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Entering plotting routine\n", + "{'Omegab': [0.016775347868338744, 0.08162265213166126], 'h': [0.46351302462666605, 0.8838869753733338], 'ns': [0.9107736589287972, 1.0212263410712028], 'sigma8': [0.7837019766313614, 0.8362980233686387], 'Omegam': [0.29551944184432444, 0.34168055815567555], 'b1': [1.1000058511306703, 1.1759561488693295], 'b2': [1.1661654743652379, 1.2379985256347623], 'b3': [1.2209291703539404, 1.2890508296460597], 'b4': [1.28658117604346, 1.35160082395654], 'b5': [1.3567390004997502, 1.4217489995002497], 'b6': [1.6244117522827042, 1.7012462477172956], 'AIA': [0.661064151396678, 2.778935848603322], 'etaIA': [-1.1041747815957366, 0.28417478159573656]}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/santiago/CosmoProjects/cosmicfish_release/jellyfish/cosmicfishpie/cosmicfishpie/analysis/fisher_plotting.py:263: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + " g.fig.savefig(\n", + "/home/santiago/anaconda3/envs/cosmicfishpie/lib/python3.10/site-packages/IPython/core/events.py:82: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + " func(*args, **kwargs)\n", + "/home/santiago/anaconda3/envs/cosmicfishpie/lib/python3.10/site-packages/IPython/core/pylabtools.py:152: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + " fig.canvas.print_figure(bytes_io, **kw)\n" + ] + }, + { + "data": { + "image/png": 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", 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-import numpy as np -import seaborn as sns -from nautilus import Prior, Sampler - -from cosmicfishpie.fishermatrix import cosmicfish -from cosmicfishpie.LSSsurvey import photo_cov as pcov -from cosmicfishpie.LSSsurvey import photo_obs as pobs -from cosmicfishpie.utilities.utils import printing as upr - -snscolors = sns.color_palette("colorblind") - - -def is_indexable_iterable(var): - return isinstance(var, (list, np.ndarray, Sequence)) and not isinstance(var, (str, bytes)) - - -logger = logging.getLogger("cosmicfishpie.cosmology.nuisance") -logger.setLevel(logging.INFO) - - -upr.debug = False - - -upr.debug_print("test") - - -fiducial = { - "Omegam": 0.3145714273, - "Omegab": 0.0491989, - "h": 0.6737, - "ns": 0.96605, - "sigma8": 0.81, - "w0": -1.0, - "wa": 0.0, - "mnu": 0.06, - "Neff": 3.044, -} -observables = ["WL", "GCph"] - - -options = { - "accuracy": 1, - "feedback": 1, - "code": "symbolic", - "outroot": "photo_3x2pt", - "survey_name": "Euclid", - "survey_name_photo": "Euclid-Photometric-ISTF-Pessimistic", - "survey_name_spectro": False, - # "specs_dir": "../survey_specifications", - "cosmo_model": "LCDM", - "bfs8terms": False, -} -cosmoFM_fid = cosmicfish.FisherMatrix( - fiducialpars=fiducial, - options=options, - observables=observables, - cosmoModel=options["cosmo_model"], - surveyName=options["survey_name"], -) - -cosmoFM_fid.IApars - -photo_fid = pobs.ComputeCls( - cosmopars=cosmoFM_fid.fiducialcosmopars, - photopars=cosmoFM_fid.photopars, - IApars=cosmoFM_fid.IApars, - biaspars=cosmoFM_fid.photobiaspars, -) - -photo_fid.compute_all() - -photo_cov_fid = pcov.PhotoCov( - cosmopars=cosmoFM_fid.fiducialcosmopars, - photopars=cosmoFM_fid.photopars, - IApars=cosmoFM_fid.IApars, - biaspars=cosmoFM_fid.photobiaspars, - fiducial_Cls=photo_fid, -) - -photo_cov_fid.allparsfid - - -def observable_Cell(photo_th: pobs.ComputeCls): - photo_th.compute_all() - binrange = photo_th.binrange - nbin = len(binrange) - - ells = photo_th.result["ells"] - output = dict(ells=ells) - - observables = photo_th.observables - if "WL" in observables: - Cell_LL = np.empty((len(ells), nbin, nbin), dtype=np.float64) - if "GCph" in observables: - Cell_GG = np.empty((len(ells), nbin, nbin), dtype=np.float64) - if "WL" in observables and "GCph" in observables: - Cell_GL = np.empty((len(ells), nbin, nbin), dtype=np.float64) - - for i, j in product(binrange, repeat=2): - - if "WL" in observables: - Cell_LL[:, i - 1, j - 1] = ( - photo_th.result["WL {}xWL {}".format(i, j)] - + np.eye(nbin)[i - 1, j - 1] - * photo_cov_fid.ellipt_error**2.0 - / photo_cov_fid.ngalbin[i - 1] - ) - - if "GCph" in observables: - Cell_GG[:, i - 1, j - 1] = ( - photo_th.result["GCph {}xGCph {}".format(i, j)] - + np.eye(nbin)[i - 1, j - 1] * 1 / photo_cov_fid.ngalbin[i - 1] - ) - - if "WL" in observables and "GCph" in observables: - Cell_GL[:, i - 1, j - 1] = photo_th.result["GCph {}xWL {}".format(i, j)] - - if "WL" in observables: - output["Cell_LL"] = Cell_LL - if "GCph" in observables: - output["Cell_GG"] = Cell_GG - if "WL" in observables and "GCph" in observables: - output["Cell_GL"] = Cell_GL - - return output - - -# In[12]: - - -Cells_fid = observable_Cell(photo_fid) - - -# In[13]: - - -ellmax_WL = cosmoFM_fid.specs["lmax_WL"] -ellmax_GC = cosmoFM_fid.specs["lmax_GCph"] -ellmax_XC = np.minimum(ellmax_GC, ellmax_WL) - - -# In[14]: - - -def compute_chi2_per_obs(Cell_fid, Cell_th, ells, dells): - - dfid = np.linalg.det(Cell_fid) - dth = np.linalg.det(Cell_th) - - nells = len(ells) - _, _, nbin = Cell_fid.shape - - dmix = 0 - for i in range(nbin): - Cth_mix = copy(Cell_th) - Cth_mix[:, i, :] = Cell_fid[:, i, :] - dmix += np.linalg.det(Cth_mix) - - ingrd = (2 * ells + 1) * ( - dmix[:nells] / dth[:nells] + np.log(dth[:nells] / dfid[:nells]) - nbin - ) - ingrd = [*((ingrd[1:] + ingrd[:-1]) / 2 * dells[:-1]), ingrd[-1] * dells[-1]] - - chi2 = np.sum(ingrd) - return chi2 - - -# In[15]: - - -def compute_chi2(Cells_fid, Cells_th): - """ - Compute χ² for wedges using fully vectorized operations. - Matches the loop implementation exactly. - - Parameters: - ---------- - Cells_fid: Dict - - Cells_th: Dict - - Returns: - ------- - float - χ² value - """ - chi2 = 0 - ells = Cells_fid["ells"] - - if "WL" in observables and "GCph" not in observables: - Cells_WL_th = Cells_th["Cell_LL"] - Cells_WL_fid = Cells_fid["Cell_LL"] - - iWL = np.searchsorted(ells, ellmax_WL) - ells_WL = np.insert(ells, iWL, ellmax_WL) - Dl_WL = np.diff(ells_WL)[:iWL] - ells_WL = ells_WL[:iWL] - - chi2 += photo_cov_fid.fsky_WL * compute_chi2_per_obs( - Cells_WL_fid, Cells_WL_th, ells_WL, Dl_WL - ) - - if "GCph" in observables and "WL" not in observables: - Cells_GC_th = Cells_th["Cell_GG"] - Cells_GC_fid = Cells_fid["Cell_GG"] - - iGC = np.searchsorted(ells, ellmax_GC) - ells_GC = np.insert(ells, iGC, ellmax_GC) - Dl_GC = np.diff(ells_GC)[:iGC] - ells_GC = ells_GC[:iGC] - - chi2 += photo_cov_fid.fsky_GCph * compute_chi2_per_obs( - Cells_GC_fid, Cells_GC_th, ells_GC, Dl_GC - ) - - if "GCph" in observables and "WL" in observables: - Cells_XC_th = Cells_th["Cell_GL"] - Cells_XC_fid = Cells_fid["Cell_GL"] - Cells_GC_th = Cells_th["Cell_GG"] - Cells_GC_fid = Cells_fid["Cell_GG"] - Cells_WL_th = Cells_th["Cell_LL"] - Cells_WL_fid = Cells_fid["Cell_LL"] - - iGC = np.searchsorted(ells, ellmax_GC) - ells_GC = np.insert(ells, iGC, ellmax_GC) - Dl_GC = np.diff(ells_GC)[:iGC] - ells_GC = ells_GC[:iGC] - iWL = np.searchsorted(ells, ellmax_WL) - ells_WL = np.insert(ells, iWL, ellmax_WL) - Dl_WL = np.diff(ells_WL)[:iWL] - ells_WL = ells_WL[:iWL] - iXC = np.searchsorted(ells, ellmax_XC) - ells_XC = np.insert(ells, iXC, ellmax_XC) - Dl_XC = np.diff(ells_XC)[:iXC] - ells_XC = ells_GC[:iXC] - - big_th = np.block( - [ - [Cells_WL_th[:iXC], np.transpose(Cells_XC_th, (0, 2, 1))[:iXC]], - [Cells_XC_th[:iXC], Cells_GC_th[:iXC]], - ] - ) - big_fid = np.block( - [ - [Cells_WL_fid[:iXC], np.transpose(Cells_XC_fid, (0, 2, 1))[:iXC]], - [Cells_XC_fid[:iXC], Cells_GC_fid[:iXC]], - ] - ) - - chi2 += np.sqrt(photo_cov_fid.fsky_WL * photo_cov_fid.fsky_GCph) * compute_chi2_per_obs( - big_fid, big_th, ells_XC, Dl_XC - ) - chi2 += photo_cov_fid.fsky_WL * compute_chi2_per_obs( - Cells_WL_fid[:iXC], Cells_WL_th[:iXC], ells_WL[:iXC], Dl_WL[:iXC] - ) - - return chi2 - - -def loglike(param_vec, prior=None): - - if isinstance(param_vec, dict): - param_dict = deepcopy(param_vec) - elif is_indexable_iterable(param_vec) and prior is not None: - param_dict = {key: param_vec[i] for i, key in enumerate(prior.keys)} - - photopars = deepcopy(cosmoFM_fid.photopars) - for ii, pp in enumerate(cosmoFM_fid.photopars.keys()): - photopars[ii] = param_dict.pop(pp, cosmoFM_fid.photopars[pp]) - - photobiaspars = deepcopy(cosmoFM_fid.photobiaspars) - for ii, pp in enumerate(cosmoFM_fid.photobiaspars.keys()): - photobiaspars[pp] = param_dict.pop(pp, cosmoFM_fid.photobiaspars[pp]) - - IApars = deepcopy(cosmoFM_fid.IApars) - for ii, pp in enumerate(cosmoFM_fid.IApars.keys()): - IApars[pp] = param_dict.pop(pp, cosmoFM_fid.IApars[pp]) - - photo_vary = pobs.ComputeCls( - param_dict, - photopars, - IApars, - photobiaspars, - ) - Cells_th = observable_Cell(photo_vary) - - return -0.5 * compute_chi2(Cells_fid, Cells_th) - - -# In[ ]: - - -samp1dic = { - "Omegam": 0.31, - "Omegab": 0.05, - "h": 0.68, - "ns": 0.96, - "sigma8": 0.82, - "w0": -1.01, - "wa": 0.2, - "b1": 1.0997727037892875, - "b2": 1.220245876862528, - "b3": 1.2723993083933989, - "b4": 1.316624471897739, - "b5": 1.35812370570578, - "b6": 1.3998214171814918, - "b7": 1.4446452851824907, - "b8": 1.4964959071110084, - "b9": 1.5652475842498528, - "b10": 1.7429859437184225, - "AIA": 1.72, - "betaIA": 2.17, - "etaIA": -0.41, -} -print("Sample likelihood", loglike(samp1dic)) - - -loglike(photo_cov_fid.allparsfid) - - -prior = Prior() -prior_withnuis = Prior() - - -prior_dict = { - "Omegam": [0.24, 0.4], - "Omegab": [0.04, 0.06], - "h": [0.61, 0.73], - "ns": [0.92, 1.00], - "sigma8": [0.79, 0.83], - "AIA": [1.0, 3.0], - "etaIA": [-6.0, 6.0], - "b1": [1.0, 3.0], - "b2": [1.0, 3.0], - "b3": [1.0, 3.0], - "b4": [1.0, 3.0], - "b5": [1.0, 3.0], - "b6": [1.0, 3.0], - "b7": [1.0, 3.0], - "b8": [1.0, 3.0], - "b9": [1.0, 3.0], - "b10": [1.0, 3.0], -} - - -# In[ ]: - - -cosmoFM_fid.freeparams - - -# In[29]: - - -for par in prior_dict.keys(): - if par in cosmoFM_fid.freeparams.keys(): - dist_prior = (prior_dict[par][0], prior_dict[par][1]) - if re.match(r"b\d+", par): - prior_withnuis.add_parameter(par, dist_prior) - elif re.search(r"IA", par): - prior_withnuis.add_parameter(par, dist_prior) - else: - prior.add_parameter(par, dist_prior) - prior_withnuis.add_parameter(par, dist_prior) - - -# In[ ]: - - -prior.keys - - -# In[ ]: - - -print("Loading prior with keys: ", prior.keys) -sampler = Sampler( - prior, - loglike, - n_live=1000, - n_networks=4, - n_batch=256, - pool=24, - pass_dict=False, - filepath="cosmicshark_3x2photo_symb_justcosmopar.hdf5", - resume=True, - likelihood_kwargs={"prior": prior}, -) -sampler.run(verbose=True, discard_exploration=True) -log_z_all = sampler.evidence() -print("Evidence:", log_z_all) -points_all, log_w_all, log_l_all = sampler.posterior() -sample_wghlkl = np.vstack((points_all.T, np.exp(log_w_all), log_l_all)).T -print("Printing chain to file.....") -np.savetxt("sample_wghlkl.txt", sample_wghlkl) - - -# In[ ]: diff --git a/notebooks/likelihod_spectroscopic.py b/notebooks/likelihod_spectroscopic.py deleted file mode 100644 index a5f76b0..0000000 --- a/notebooks/likelihod_spectroscopic.py +++ /dev/null @@ -1,548 +0,0 @@ -#!/usr/bin/env python -# coding: utf-8 - -# In[1]: - - -import logging -from collections.abc import Sequence -from copy import deepcopy - -import numpy as np -from nautilus import Prior, Sampler -from scipy.integrate import simpson -from scipy.interpolate import make_interp_spline -from scipy.special import eval_legendre - -from cosmicfishpie.fishermatrix import cosmicfish -from cosmicfishpie.LSSsurvey import spectro_cov as spcov -from cosmicfishpie.LSSsurvey import spectro_obs as spobs -from cosmicfishpie.utilities import legendre_tools as lgt -from cosmicfishpie.utilities.utils import printing as upr - -# In[2]: - - -# In[3]: - - -# In[4]: - - -def is_indexable_iterable(var): - return isinstance(var, (list, np.ndarray, Sequence)) and not isinstance(var, (str, bytes)) - - -# In[5]: - - -logger = logging.getLogger("cosmicfishpie.cosmology.nuisance") -logger.setLevel(logging.INFO) - - -# In[6]: - - -upr.debug = False - - -# In[7]: - - -upr.debug_print("test") - - -# In[8]: - - -fiducial = { - "Omegam": 0.3145714273, - "Omegab": 0.0491989, - "h": 0.6737, - "ns": 0.96605, - "sigma8": 0.81, - "w0": -1.0, - "wa": 0.0, - "mnu": 0.06, - "Neff": 3.044, -} -observables = ["GCsp"] - - -# In[ ]: - - -options = { - "accuracy": 1, - "feedback": 1, - "code": "symbolic", - "outroot": "GCsp", - "survey_name": "Euclid", - # "survey_name_spectro": "SKAO-Spectroscopic-Redbook", - "survey_name_spectro": "Euclid-Spectroscopic-ISTF-Pessimistic", - "survey_name_photo": False, - "survey_name_radio_IM": "SKAO-IM-Redbook", - #'specs_dir': '../cosmicfishpie/configs/other_survey_specifications/', - "cosmo_model": "LCDM", - "bfs8terms": False, -} -cosmoFM_fid = cosmicfish.FisherMatrix( - fiducialpars=fiducial, - options=options, - observables=observables, - cosmoModel=options["cosmo_model"], - surveyName=options["survey_name"], -) - - -# In[ ]: - - -print(cosmoFM_fid.Spectrobiaspars) - - -# In[ ]: - - -print(cosmoFM_fid.freeparams) - - -# In[12]: - - -cosmoFM_fid.set_pk_settings() - -spectro_fid = spobs.ComputeGalSpectro( - cosmoFM_fid.fiducialcosmopars, - spectrobiaspars=cosmoFM_fid.Spectrobiaspars, - spectrononlinearpars=cosmoFM_fid.Spectrononlinpars, - PShotpars=cosmoFM_fid.PShotpars, - IMbiaspars=cosmoFM_fid.IMbiaspars, - fiducial_cosmo=cosmoFM_fid.fiducialcosmo, - use_bias_funcs=False, - configuration=cosmoFM_fid, -) - -spectro_cov_fid = spcov.SpectroCov( - fiducialpars=cosmoFM_fid.fiducialcosmopars, configuration=cosmoFM_fid -) - - -volume_surveys = np.array( - [spectro_cov_fid.volume_survey(ii) for ii in range(len(spectro_cov_fid.global_z_bin_mids))] -) - - -# In[13]: - - -def observable_Pgg(vary_spectro, nuisance_shot=None): - z_bins = spectro_cov_fid.global_z_bin_mids - n_bins = len(z_bins) - si, sj = spectro_fid.obs_spectrum - if nuisance_shot is None: - nuisance_shot = np.zeros_like(z_bins) - obs_Pgg = np.zeros((n_bins, cosmoFM_fid.Pk_musamp, cosmoFM_fid.Pk_ksamp)) - for ii in range(n_bins): - obs_Pgg[ii, :, :] = ( - vary_spectro.noisy_P_ij( - z_bins[ii], cosmoFM_fid.Pk_kmesh, cosmoFM_fid.Pk_mumesh, si=si, sj=sj - ) - + nuisance_shot[ii] - ) - return obs_Pgg - - -multipole_order = 4 -leg_ells = np.arange(0, multipole_order + 1, 2, dtype="int") - - -def legendre_Pgg(obs_Pgg): - legendre_vals = eval_legendre(leg_ells[None, :], cosmoFM_fid.Pk_mugrid[:, None]) - legendre_vals = legendre_vals[None, :, None, :] - obsPgg_forleg = obs_Pgg[:, :, :, None] - P_ell = ((2.0 * leg_ells[None, None, :] + 1)) * simpson( - legendre_vals * obsPgg_forleg, x=cosmoFM_fid.Pk_mugrid, axis=1 - ) - P_ell = P_ell.transpose(1, 0, 2) - return P_ell - - -# In[ ]: - - -obsPgg_fid = observable_Pgg(spectro_cov_fid) -obsPgg_fid.shape - - -# In[ ]: - - -P_ell_fid = legendre_Pgg(obsPgg_fid) -P_ell_fid.shape - - -# In[16]: - - -def compute_covariance_legendre(P_ell, volume_survey): - """ - Compute covariance matrix for power spectrum multipoles - P_ell shape: (n_k, n_z, n_ell) - """ - k_grid = spectro_cov_fid.config.Pk_kgrid - P_ell_broad = P_ell[:, :, :, None, None] - n_k, n_z, n_ell = P_ell.shape - - # Compute auto and cross terms - P00 = (P_ell_broad[:, :, 0]) ** 2 * lgt.m00[None, None, :, :] - P22 = (P_ell_broad[:, :, 1]) ** 2 * lgt.m22[None, None, :, :] - P44 = (P_ell_broad[:, :, 2]) ** 2 * lgt.m44[None, None, :, :] - - P02 = P_ell_broad[:, :, 0] * P_ell_broad[:, :, 1] * lgt.m02[None, None, :, :] - P24 = P_ell_broad[:, :, 1] * P_ell_broad[:, :, 2] * lgt.m24[None, None, :, :] - P04 = P_ell_broad[:, :, 0] * P_ell_broad[:, :, 2] * lgt.m04[None, None, :, :] - - # Compute mode-by-mode covariance - mode_by_mode_covariance = ( - 2 - * (2 * leg_ells[None, None, :, None] + 1) - * (2 * leg_ells[None, None, None, :] + 1) - / volume_survey[None, :, None, None] - * (P00 + P22 + P44 + 2 * P02 + 2 * P24 + 2 * P04) - ) - ln_k_grid = np.log(k_grid) - k_size = len(k_grid) - if n_k != k_size: - raise ValueError("k_grid and P_ell have different lengths in k") - ln_k_bin_edges = np.zeros((k_size + 1), "float64") - ln_k_bin_edges[1:-1] = (ln_k_grid[1:] + ln_k_grid[:-1]) / 2.0 - ln_k_bin_edges[0] = ln_k_bin_edges[1] - (ln_k_grid[1] - ln_k_grid[0]) - ln_k_bin_edges[-1] = ln_k_bin_edges[-2] + (ln_k_grid[-1] - ln_k_grid[-2]) - k_bin_volume = 4 * np.pi / 3.0 * np.diff(np.exp(3 * ln_k_bin_edges)) - # Multiply by k^3 factor - covariance_integrand = mode_by_mode_covariance * (k_grid[:, None, None, None]) ** 3 - covariance_integrand_spline = make_interp_spline(ln_k_grid, covariance_integrand, k=1, axis=0) - - # We create an array into which we fill the values for the covmat. We integrate over the ln_k_bin_edges - covariance = np.zeros((k_size, n_z, n_ell, n_ell), "float64") - for index_k in range(k_size): - covariance[index_k, :, :, :] = covariance_integrand_spline.integrate( - ln_k_bin_edges[index_k], ln_k_bin_edges[index_k + 1] - ) - - # We multiply the covariance matrix by this factor - covariance *= 2 * (2 * np.pi) ** 4 / ((k_bin_volume[:, None, None, None]) ** 2) - - # We need the inverse of the covariance matrix for the chi2 computation - inv_covariance = np.linalg.inv(covariance) - - return covariance, inv_covariance - - -# In[17]: - - -covariance_leg, inv_covariance_leg = compute_covariance_legendre( - P_ell=P_ell_fid, volume_survey=volume_surveys # From legendre_Pgg function -) - - -# In[18]: - - -def compute_chi2_legendre(P_ell_fid, P_ell, inv_covariance): - """ - Compute χ² using broadcasting - - P_ell_fid: shape (n_k, n_z, n_ell) - P_ell: shape (n_k, n_z, n_ell) - inv_covariance: shape (n_k, n_z, n_ell, n_ell) - """ - - chi2 = np.sum( - (P_ell_fid[..., None] - P_ell[..., None]) - * inv_covariance - * (P_ell_fid[..., None, :] - P_ell[..., None, :]) - ) - - return chi2 - - -# In[19]: - - -def compute_wedge_chi2(P_obs_fid, P_obs, volume_survey): - """ - Compute χ² for wedges using fully vectorized operations. - Matches the loop implementation exactly. - - Parameters: - ---------- - P_obs_fid : array_like - Fiducial power spectrum (n_z, n_mu, n_k) - P_obs : array_like - Observed power spectrum (n_z, n_mu, n_k) - volume_survey : array_like - Fiducial volumes (volume_surveys) - - Returns: - ------- - float - χ² value - """ - - k_grid = spectro_cov_fid.config.Pk_kgrid - mu_grid = spectro_cov_fid.config.Pk_mugrid - prefactor = 8 * np.pi**2 - - # Compute delta (n_z, n_mu, n_k) - delta = P_obs - P_obs_fid - - # Prepare terms for broadcasting: - k_term = k_grid[None, None, :] ** 2 # (1, 1, n_k) - V_term = volume_survey[:, None, None] # (n_z, 1, 1) - - # Compute covariance (n_z, n_mu, n_k) - covariance = (prefactor / (k_term * V_term)) * P_obs_fid**2 - - # Compute k_integrand for all points simultaneously - k_integrand = delta**2 / covariance - - # Integrate over k for all z and mu (n_z, n_mu) - mu_integrand = 2 * simpson(k_integrand, x=k_grid, axis=2) # Factor 2 for mu-symmetry - - # Integrate over mu for all z (n_z) - z_integrand = simpson(mu_integrand, x=mu_grid, axis=1) - - # Sum over z bins - chi2 = np.sum(z_integrand) - - # print(f'Max of k_integrand: {np.max(k_integrand)}') - # print(f'Min of k_integrand: {np.min(k_integrand)}') - - return chi2 - - -def loglike(param_vec, prior=None, leg_flag="wedges"): - - z_bins = spectro_cov_fid.global_z_bin_mids - - if isinstance(param_vec, dict): - param_dict = deepcopy(param_vec) - elif is_indexable_iterable(param_vec) and prior is not None: - # print(f'Loading prior with keys: {prior.keys}') - param_dict = {key: param_vec[i] for i, key in enumerate(prior.keys)} - - nuisance_shot = np.zeros(len(z_bins)) - pshotpars = deepcopy(cosmoFM_fid.PShotpars) - for ii, pp in enumerate(pshotpars.keys()): - nuisance_shot[ii] = param_dict.pop(pp, cosmoFM_fid.PShotpars[pp]) - - spectrobiaspars = deepcopy(cosmoFM_fid.Spectrobiaspars) - for ii, pp in enumerate(spectrobiaspars.keys()): - spectrobiaspars[pp] = param_dict.pop(pp, cosmoFM_fid.Spectrobiaspars[pp]) - - spectrononlinearpars = deepcopy(cosmoFM_fid.Spectrononlinpars) - for ii, pp in enumerate(spectrononlinearpars.keys()): - spectrononlinearpars[pp] = param_dict.pop(pp, cosmoFM_fid.Spectrononlinpars[pp]) - - IMbiaspars = deepcopy(cosmoFM_fid.IMbiasparams) - for pp in IMbiaspars.keys(): - IMbiaspars[pp] = param_dict.pop(pp, cosmoFM_fid.IMbiasparams[pp]) - - spectro_vary = spobs.ComputeGalSpectro( - param_dict, - spectrobiaspars=spectrobiaspars, - spectrononlinearpars=spectrononlinearpars, - PShotpars=cosmoFM_fid.PShotpars, - fiducial_cosmo=cosmoFM_fid.fiducialcosmo, - IMbiaspars=IMbiaspars, - use_bias_funcs=False, - configuration=cosmoFM_fid, - ) - spectro_cov_vary = spcov.SpectroCov( - fiducialpars=param_dict, configuration=cosmoFM_fid, fiducial_specobs=spectro_vary - ) - obsPgg_vary = observable_Pgg(spectro_cov_vary, nuisance_shot=nuisance_shot) - - if leg_flag == "wedges": - chi2 = compute_wedge_chi2( - P_obs_fid=obsPgg_fid, P_obs=obsPgg_vary, volume_survey=volume_surveys - ) - elif leg_flag == "legendre": - P_ell_vary = legendre_Pgg(obsPgg_vary) - covariance_leg, inv_covariance_leg = compute_covariance_legendre( - P_ell=P_ell_fid, volume_survey=volume_surveys # Test later with P_ell_vary - ) - chi2 = compute_chi2_legendre(P_ell_fid, P_ell_vary, inv_covariance_leg) - return -0.5 * chi2 - - -# In[ ]: - - -fiducial - - -# In[ ]: - - -cosmoFM_fid.freeparams - - -# In[ ]: - - -fid_truth = {par: cosmoFM_fid.allparams[par] for par in cosmoFM_fid.freeparams.keys()} -fid_truth - - -# In[ ]: - - -samp1dic = { - "Omegam": 0.31, - "Omegab": 0.05, - "h": 0.68, - "ns": 0.96, - "sigma8": 0.82, - "w0": -1.01, - "wa": 0.2, - "Ps_0": 0.0, - "Ps_1": 0.0, - "Ps_2": 0.0, - "Ps_3": 10.0, - "lnbg_1": 0.37944989, - "lnbg_2": 0.4738057, - "lnbg_3": 0.55760176, - "lnbg_4": 0.6, - "sigmap_1": 1.0, - "sigmap_2": 0.0, - "sigmap_3": 1.0, - "sigmap_4": 1.0, - "sigmav_1": 1.0, - "sigmav_2": 1.0, - "sigmav_3": 0.0, - "sigmav_4": 10, - "bI_c1": -0.3, - "bI_c2": +0.6, -} -print("Wedges loglike: ", loglike(samp1dic)) -print("Multipoles loglike: ", loglike(samp1dic, leg_flag="legendre")) - - -# In[25]: - - -prior = Prior() -prior_noshot = Prior() -prior_noshot_no_bi = Prior() -prior_nosigma = Prior() - - -# In[26]: - - -prior_dict = { - "Omegam": [0.24, 0.4], - "Omegab": [0.04, 0.06], - "h": [0.61, 0.73], - "ns": [0.92, 1.00], - "sigma8": [0.79, 0.83], - "Ps_0": [-10, 10], - "Ps_1": [-10, 10], - "Ps_2": [-10, 10], - "Ps_3": [-10, 10], - "lnbg_1": [0, 1], - "lnbg_2": [0, 1], - "lnbg_3": [0, 1], - "lnbg_4": [0, 1], - "sigmap_1": [0, 10], - "sigmap_2": [0, 10], - "sigmap_3": [0, 10], - "sigmap_4": [0, 10], - "sigmav_1": [0, 10], - "sigmav_2": [0, 10], - "sigmav_3": [0, 10], - "sigmav_4": [0, 10], - "bI_c1": [-5, 5], - "bI_c2": [-5, 5], -} - - -# In[ ]: - - -cosmoFM_fid.freeparams - - -# In[28]: - - -for par in prior_dict.keys(): - if par in cosmoFM_fid.freeparams.keys(): - dist_prior = (prior_dict[par][0], prior_dict[par][1]) - prior.add_parameter(par, dist_prior) - if "sigmap" not in par and "sigmav" not in par: - prior_nosigma.add_parameter(par, dist_prior) - if "Ps" not in par and ("sigmap" not in par and "sigmav" not in par): - prior_noshot.add_parameter(par, dist_prior) - if "Ps" not in par and "lnbg" not in par and ("sigmap" not in par and "sigmav" not in par): - prior_noshot_no_bi.add_parameter(par, dist_prior) - - -# In[ ]: - - -print("Loaded prior into Nautilus with dimension", prior.dimensionality()) -print("Loaded prior into Nautilus with dimension", prior_noshot.dimensionality()) -print("Loaded prior into Nautilus with dimension", prior_noshot_no_bi.dimensionality()) -print("Loaded prior into Nautilus with dimension", prior_nosigma.dimensionality()) -print("Prior keys: ", prior.keys) -print("Prior keys noshot: ", prior_noshot.keys) -print("Prior keys noshot no bi: ", prior_noshot_no_bi.keys) -print("Prior keys nosigma: ", prior_nosigma.keys) - - -# In[32]: - - -outfile_chain_path = "cosmicjellyfish_eucid_spectro_nonuis" -prior_to_use = prior_noshot_no_bi - - -# In[ ]: - - -print("Loading prior with keys: ", prior_to_use.keys) -sampler = Sampler( - prior_to_use, - loglike, - n_live=1000, - n_networks=4, - n_batch=256, - pool=8, - pass_dict=False, - filepath=outfile_chain_path + ".hdf5", - resume=True, - likelihood_kwargs={"leg_flag": "wedges", "prior": prior_to_use}, -) -sampler.run(verbose=True, discard_exploration=True) -log_z_all = sampler.evidence() -print("Evidence:", log_z_all) -print("Sampling posterior") -points_all, log_w_all, log_l_all = sampler.posterior() - - -# In[82]: - - -sample_wghlkl = np.vstack((points_all.T, np.exp(log_w_all), log_l_all)).T - - -# In[83]: - - -print(f"Saving chain to text file {outfile_chain_path}.txt") -np.savetxt(outfile_chain_path + ".txt", sample_wghlkl)