Warning, /geant4/examples/extended/medical/dna/molcounters/sdcounters/plotRoot.ipynb is written in an unsupported language. File is not indexed.
0001 {
0002 "cells": [
0003 {
0004 "cell_type": "markdown",
0005 "metadata": {},
0006 "source": [
0007 "```\n",
0008 "//\n",
0009 "// ********************************************************************\n",
0010 "// * License and Disclaimer *\n",
0011 "// * *\n",
0012 "// * The Geant4 software is copyright of the Copyright Holders of *\n",
0013 "// * the Geant4 Collaboration. It is provided under the terms and *\n",
0014 "// * conditions of the Geant4 Software License, included in the file *\n",
0015 "// * LICENSE and available at http://cern.ch/geant4/license . These *\n",
0016 "// * include a list of copyright holders. *\n",
0017 "// * *\n",
0018 "// * Neither the authors of this software system, nor their employing *\n",
0019 "// * institutes,nor the agencies providing financial support for this *\n",
0020 "// * work make any representation or warranty, express or implied, *\n",
0021 "// * regarding this software system or assume any liability for its *\n",
0022 "// * use. Please see the license in the file LICENSE and URL above *\n",
0023 "// * for the full disclaimer and the limitation of liability. *\n",
0024 "// * *\n",
0025 "// * This code implementation is the result of the scientific and *\n",
0026 "// * technical work of the GEANT4 collaboration. *\n",
0027 "// * By using, copying, modifying or distributing the software (or *\n",
0028 "// * any work based on the software) you agree to acknowledge its *\n",
0029 "// * use in resulting scientific publications, and indicate your *\n",
0030 "// * acceptance of all terms of the Geant4 Software license. *\n",
0031 "// ********************************************************************\n",
0032 "//\n",
0033 "// The `molcounters` example(s) are provided as part of Geant4-DNA\n",
0034 "// and any report or published result obtained using it shall cite\n",
0035 "// the respective Geant4-DNA collaboration publications.\n",
0036 "//\n",
0037 "// Reports or results obtained using the spatially-aware `MoleculeCounter`\n",
0038 "// provided in this example, shall further cite:\n",
0039 "//\n",
0040 "// Velten & Tomé, Radiation Physics and Chemistry, 2023 (10.1016/j.radphyschem.2023.111194)\n",
0041 "//\n",
0042 "//\n",
0043 "// Author: Christian Velten (2025)\n",
0044 "//\n",
0045 "```"
0046 ]
0047 },
0048 {
0049 "cell_type": "code",
0050 "execution_count": null,
0051 "metadata": {},
0052 "outputs": [],
0053 "source": [
0054 "import os\n",
0055 "import matplotlib as mpl\n",
0056 "import matplotlib.pyplot as plt\n",
0057 "import pandas as pd\n",
0058 "import seaborn as sns\n",
0059 "import uproot\n",
0060 "from pprint import pprint"
0061 ]
0062 },
0063 {
0064 "cell_type": "code",
0065 "execution_count": 2,
0066 "metadata": {},
0067 "outputs": [],
0068 "source": [
0069 "mpl.rcParams['font.size'] = 9"
0070 ]
0071 },
0072 {
0073 "cell_type": "code",
0074 "execution_count": 3,
0075 "metadata": {},
0076 "outputs": [
0077 {
0078 "name": "stdout",
0079 "output_type": "stream",
0080 "text": [
0081 "TTrees:\n",
0082 "['BasicMoleculeCount_BasicCounter;1',\n",
0083 " 'BasicMoleculeCount_BasicCounter_VariablePrecision;1',\n",
0084 " 'BasicReactionCount_Reactions;1']\n",
0085 "\n",
0086 "Branches in Tree `BasicMoleculeCount_BasicCounter;1`\n",
0087 "[<TBranch 'Time__ps_' at 0x0001581fb6b0>,\n",
0088 " <TBranch 'Molecule_Count' at 0x0001581fb710>,\n",
0089 " <TBranch 'Molecule_Name' at 0x000158404bc0>]\n",
0090 "\n",
0091 "Branches in Tree `BasicMoleculeCount_BasicCounter_VariablePrecision;1`\n",
0092 "[<TBranch 'Time__ps_' at 0x000158405ac0>,\n",
0093 " <TBranch 'Molecule_Count' at 0x000158405b20>,\n",
0094 " <TBranch 'Molecule_Name' at 0x000158406db0>]\n",
0095 "\n",
0096 "Branches in Tree `BasicReactionCount_Reactions;1`\n",
0097 "[<TBranch 'Time__ps_' at 0x000158407da0>,\n",
0098 " <TBranch 'Reaction_Count' at 0x000158407e00>,\n",
0099 " <TBranch 'Reaction_Name' at 0x000158419100>]\n",
0100 "\n"
0101 ]
0102 }
0103 ],
0104 "source": [
0105 "path = '~/build/geant4/geant4/examples/molcounters/sdcounters'\n",
0106 "tfile = uproot.open(os.path.join(path, 'MoleculeCounters.root'))\n",
0107 "\n",
0108 "print('TTrees:')\n",
0109 "pprint(list(tfile))\n",
0110 "print('')\n",
0111 "\n",
0112 "for tree in tfile:\n",
0113 " ttree = tfile[tree]\n",
0114 " print(f'Branches in Tree `{tree}`')\n",
0115 " pprint(list(ttree))\n",
0116 " print('')"
0117 ]
0118 },
0119 {
0120 "cell_type": "code",
0121 "execution_count": 4,
0122 "metadata": {},
0123 "outputs": [
0124 {
0125 "name": "stdout",
0126 "output_type": "stream",
0127 "text": [
0128 "Example DataFrame:\n",
0129 " Time__ps_ Molecule_Count Molecule_Name\n",
0130 "0 1.000000 166626.0 H3O^1\n",
0131 "1 1.325711 166609.0 H3O^1\n",
0132 "2 1.757511 166589.0 H3O^1\n",
0133 "3 2.329952 166542.0 H3O^1\n",
0134 "4 3.088844 166503.0 H3O^1\n",
0135 ".. ... ... ...\n",
0136 "345 323745.754282 7371.0 °O^0\n",
0137 "346 429193.426013 7371.0 °O^0\n",
0138 "347 568986.602902 7371.0 °O^0\n",
0139 "348 754312.006335 7371.0 °O^0\n",
0140 "349 1000000.000000 7371.0 °O^0\n",
0141 "\n",
0142 "[350 rows x 3 columns]\n",
0143 " Time__ps_ Reaction_Count Reaction_Name \\\n",
0144 "0 1.000000 685.0 H + H -> H2 \n",
0145 "1 1.325711 686.0 H + H -> H2 \n",
0146 "2 1.757511 686.0 H + H -> H2 \n",
0147 "3 2.329952 688.0 H + H -> H2 \n",
0148 "4 3.088844 689.0 H + H -> H2 \n",
0149 ".. ... ... ... \n",
0150 "245 323745.754282 7508.0 e_aq + e_aq -> H2 + OHm + OHm \n",
0151 "246 429193.426013 7775.0 e_aq + e_aq -> H2 + OHm + OHm \n",
0152 "247 568986.602902 8061.0 e_aq + e_aq -> H2 + OHm + OHm \n",
0153 "248 754312.006335 8321.0 e_aq + e_aq -> H2 + OHm + OHm \n",
0154 "249 1000000.000000 8564.0 e_aq + e_aq -> H2 + OHm + OHm \n",
0155 "\n",
0156 " Reaction_Count_Differential \n",
0157 "0 NaN \n",
0158 "1 1.0 \n",
0159 "2 0.0 \n",
0160 "3 2.0 \n",
0161 "4 1.0 \n",
0162 ".. ... \n",
0163 "245 310.0 \n",
0164 "246 267.0 \n",
0165 "247 286.0 \n",
0166 "248 260.0 \n",
0167 "249 243.0 \n",
0168 "\n",
0169 "[250 rows x 4 columns]\n"
0170 ]
0171 }
0172 ],
0173 "source": [
0174 "# Convert TTree to pd.DataFrame\n",
0175 "basic_molecule_count = tfile['BasicMoleculeCount_BasicCounter'].arrays(library='pd')\n",
0176 "basic_molecule_count_variable = tfile['BasicMoleculeCount_BasicCounter_VariablePrecision'].arrays(library='pd')\n",
0177 "basic_reaction_count = tfile['BasicReactionCount_Reactions'].arrays(library='pd')\n",
0178 "\n",
0179 "# Fix dtype from awkward to str:\n",
0180 "for df in (basic_molecule_count, basic_molecule_count_variable, basic_reaction_count):\n",
0181 " for col, dtype in zip(df.columns, df.dtypes):\n",
0182 " if dtype == 'awkward':\n",
0183 " df[col] = df[col].astype(str)\n",
0184 "\n",
0185 "# The reaction count is cumulative, so we'll calculate the differential\n",
0186 "basic_reaction_count['Reaction_Count_Differential'] = \\\n",
0187 " pd.concat([ser.Reaction_Count.diff()\n",
0188 " for _, ser in basic_reaction_count.groupby('Reaction_Name')])\n",
0189 "\n",
0190 "print('Example DataFrame:')\n",
0191 "pprint(basic_molecule_count)\n",
0192 "pprint(basic_reaction_count)"
0193 ]
0194 },
0195 {
0196 "cell_type": "code",
0197 "execution_count": 5,
0198 "metadata": {},
0199 "outputs": [
0200 {
0201 "data": {
0202 "image/png": 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",
0203 "text/plain": [
0204 "<Figure size 700x400 with 2 Axes>"
0205 ]
0206 },
0207 "metadata": {},
0208 "output_type": "display_data"
0209 }
0210 ],
0211 "source": [
0212 "fig, (ax1, ax2) = plt.subplots(1, 2,\n",
0213 " figsize=(7, 4),\n",
0214 " sharex=True, sharey=True)\n",
0215 "\n",
0216 "ax1.set_xscale('log')\n",
0217 "ax1.set_yscale('log')\n",
0218 "ax2.set_yscale('log')\n",
0219 "# ax1.set_xlim()\n",
0220 "\n",
0221 "sns.lineplot(data=basic_molecule_count,\n",
0222 " x='Time__ps_',\n",
0223 " y='Molecule_Count',\n",
0224 " hue='Molecule_Name',\n",
0225 " markers=True, style='Molecule_Name',\n",
0226 " ax=ax1)\n",
0227 "ax1.legend(ncols=2, fontsize='small', loc='lower left', bbox_to_anchor=(0, 1))\n",
0228 "\n",
0229 "sns.lineplot(data=basic_molecule_count_variable,\n",
0230 " x='Time__ps_',\n",
0231 " y='Molecule_Count',\n",
0232 " hue='Molecule_Name',\n",
0233 " markers=True, style='Molecule_Name',\n",
0234 " ax=ax2,\n",
0235 " legend=True)\n",
0236 "ax2.legend(ncols=2, fontsize='small', loc='lower left', bbox_to_anchor=(0, 1))\n",
0237 "\n",
0238 "fig.tight_layout()"
0239 ]
0240 },
0241 {
0242 "cell_type": "code",
0243 "execution_count": 6,
0244 "metadata": {},
0245 "outputs": [
0246 {
0247 "data": {
0248 "image/png": 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ivr+uXbti7dq1JvVb38aNG9G5c2fuvm4emEAgwNChQwEAERERyMzMRLVq1QAAzZo1Q0ZGhkmX7ggh5qNYykexlDg6GtTaWNIb7CdZTxG7B/mOV3aAYRhI3CRlPu6DaHY2oGednkh6IwlCgemT6gzDoEuXLti9e7dJ58+fPx/t2rXDDz/8AIFAgOrVq6O42PR0h4CAAKSkpABgL9Vt2rQJmzZtMvnxZRk/fjzOnz8PkUiE8+fPc8dv376NrVu34ocffkCzZs2wY8cOhISEmPUan332GY4fP45Dhw5BIBAYPefnn3/mvq5Xrx73/RrTsmVL3L59G/n5+bw3wOTkZLz99tsm9UkoFHKBWSgUQiKR8NpMfdMixFVYO5Y2CGhQ7mtSLK0YiqXE3ij9wMa8xF7wEntxf+CeIk94ib3gJmTzg0RCEUQCnZuQ/eNzd3Pn2r3EXvAQmb43c8eOHXH27Fnu8oxSqcSVK1dKPV8qlaJWrVoQCAT4+eefkZubC4CdATh9+jQeP34MhmGwdevWiv8ALPTNN98gJSWFC8IXLlxATEwMRo0ahWrVquHkyZPYtWsXhgwZwuVcVcTmzZuxZcsW7N+/H15eXlbpc4MGDTBgwADMmjWLuwy2ZcsW3L9/H6+//rpVXoOQqsbasdSUiQKKpaajWEocAc3U2pFCrcC5N88ZPa4NxOYICgrCjh07MH78eBQVFUGlUmHy5Mlo3bq10fPnzp2L+Ph4rFq1Cl26dEGdOnUAAKGhoVixYgW6du0KX19fdOvWzWplWszl6emJDRs2oFWrVlZ5vvHjxyM8PJy75NemTRts2bLF4uf9+uuvMWvWLDRu3BhCoRANGzbE77//Dg8P0z+cEEJMQ7G04iiWElckYLRLSYlFiouLkZ6ejvr167vsH1tiYiISEhJ4+VuEVKaq8HdGXP/3TLGU2Jur/o1R+gEhhBBCCHF6lH5QhUycOBF///0371jv3r2xcuVKkx4fGxvLXVoihJCqimIpIY6JBrVVyFdffWXvLhBCiNOjWEqIY6L0A0IIIYQQ4vRoUEsIIYQQQpweDWoJIYQQQojTo0EtIYQQQghxejSodQAauZz3LyGEkIqjWEpI1UaDWgcglEiQGt0eQknZe5i7isTERPTq1Yt3LCEhAR999BEA4Ndff0WbNm0QERGBtm3b8vYKV6lUmDNnDho2bIgmTZqgc+fOOHfOcCchW9PuJa516tQpKtFDiJ1RLKVYSqo2KullYxqZzOhxgUQCgZsbGI0GAqEQjErFa2eUSjBKpcHjhFbaU9tWEhMTsWnTJmzatMns5+jduzeGDBkCoVCIR48eoVWrVhg4cCAkEgk+/PBDXL58GVeuXIGXlxcOHTqE/v374/r16wgODjb7NXNzc1GtWjWzH08IsS1rx1IIBBB6etqiq1ZBsZSQiqNBrY2ltosyPCgUosm5s3Dz9oZAKIQyMxOMWg1lZibEYWEAAE1REW6+3BHQaHgPbX7jH5NeNzExEQsWLEBRURGqV6+Ob7/9FrVr1zZ6bnJyMqZPnw6ZTAaGYbBixQrExcUBALZt24bFixfD19cXXbt2xZUrV2y+taOvry/3dVFREQQCATQaDYqKirBmzRpcu3YNXi8G93Fxcejbty/Wr1+PxYsXY+zYsfDw8MCFCxfw7NkzTJo0CbNmzSr3NYcOHQovLy+MHTsWgwcPdqltAwlxBdaOpe6NGqLh/v3lvi7FUoqlxHnQoNYehEK4eXsjNbo9GJUKjFoNKJW4HdcHAjc3CEQiND1/DhAKDQKxKXJzczFv3jwcPHgQ/v7++Omnn/DBBx/ghx9+MHp+48aNkZiYCLFYjIcPH6Jr165IS0vD48ePMXv2bCQnJyM0NBSvvvqqpd85JykpCREREdz9J0+eYMKECdz9P/74AzNnzsTdu3exZcsWeHp64sqVK/Dw8ECDBg14zxUdHY0TJ05w969evYpTp05BJpMhKioKvXv3RuvWrcvsz/Hjx3HmzBls2bIFc+fORZ8+fTB27Fh06NDB6PlqtZrX/8LCQtSqVasCPwFCiMUollIsJUQHDWptrOmFZKPHNXI5G2wBqHJycCu2OxonHoOoevWS9rNJZr3mmTNnkJqaim7durHPpdHwPrHrKygowPjx43H9+nWIRCLcv38f2dnZSEpKQufOnRH2YsYjPj4e69atM3j88+fPuRyogoIC5ObmckFq1qxZiI+PN3hMhw4deLMUCQkJUOlcNuzTpw+uX7+OCxcuYNy4cXjllVdM/v5ff/11uLu7w93dHYMGDcKJEyfKDcQA0KlTJ3Tq1AlyuRybNm1Cz549MW7cOHz++ecG57q5uSElJYW7f+rUKSxYsMDkPhJCKsbqsVQgKPc1KZZSLCXOhQa1NmZKDqyoenUI3Ny4IAzAooUODMOgS5cu2L17t0nnz58/H+3atcMPP/wAgUCA6tWro7i42OTXCwgI4IKSNfLAdLVr1w4ikQjXr19Hs2bNUFRUhDt37vBmGJKTk9GqVSvuvqCcN6vz589j/PjxAICpU6dyXysUChw4cABbtmzBjRs3MHv2bIwdO9Yq3wchxDIUSy1DsZRUBVT9wEEIRNb7fNGxY0ecPXsWV69eBQAolUpcuXKl1POlUilq1aoFgUCAn3/+Gbm5uQDYGYDTp0/j8ePHYBgGW7dutVofy3Lr1i0wDAMASE1Nxd27d1G/fn14enpixowZmD59OoqKigAAhw8fxsGDBzFlyhTu8Tt37oRSqYRUKsW+ffvQtWtX3vNHR0cjJSUFKSkpXBCeM2cOmjRpgv3792PmzJm4fv06Fi1ahLp161bK90wIsQ6KpSUolpKqhmZqHYD28plGLrdKKZqgoCDs2LED48ePR1FREVQqFSZPnlzqZaO5c+ciPj4eq1atQpcuXVCnTh0AQGhoKFasWIGuXbvC19cX3bp1w7NnzyzuX3l++uknbNu2DWKxGGKxGJs3b0ZAQAAAYMmSJZg/fz5atmwJkUiE4OBg7N+/HzVq1OAe36JFC8TExODZs2dlft+6unTpgg8//JBbNEEIcT4US/kolpKqRsBoP8YRixQXFyM9PR3169d32dWeiYmJSEhIsPmKXUuMHTsWvXr1wptvvmnvrhAbqAp/Z8T1f88US4m9uerfGKUfEEIIIYQQp0cztVbiDJ96Jk6ciL///pt3rHfv3li5cqWdekRIxTjD3xmxnKP/nimWEmfn6H9j5qKc2irkq6++sncXCCHE6VEsJcQxUfoBIYQQQghxejSoJYQQQgghTo8GtYQQQgghxOnRoNYBaDQMGIaBRkNr9gghxFwUSwmp2mhQa2caDQNlsQq/b7gKZbGKgrEDGjt2rMEOQI0aNUJGRgZkMhkGDhyIpk2bonXr1hg3bhwUCoVVXvfJkycYOXIkGjZsiIYNG2LkyJF48uQJ116vXj08ePCAu//gwQPUq1fPKq9tKpVKhTlz5qBhw4Zo0qQJOnfujHPnznHtZf3sCLEmiqWOj2Jp6SiWWgcNam1MKVeXflOooSxW4ZeVybiT8hS/rEyGslgFpUINtVIDANCoNbzHOLrExESH3+Nbu3WltcyYMQOpqam4dOkSZDIZvvzyyzLPz8jIQGxsbLnPO2zYMDRv3hxpaWlIS0tDs2bNMGzYMCv1unymBPUPP/wQly9fxpUrV3Dz5k18+OGH6N+/P54+fWr7DpIqxdqx1NHjKcVSiqUUSyuOBrU29r/3jhu9nf7lNpRFbBB+likDADzLlLHBuEiFtItZAIA7Kdm8x5kqMTERnTt3RlRUFOLi4nD//v1Sz01OTkZMTAwiIyMRERGBQ4cOcW3btm1DkyZNEBUVhZkzZ6JXr15m/iT41q1bh5deeglt27bF+PHjoVQqSz1348aNeOmllxAZGYnY2Fikp6cDABiGwaxZs9CkSRN06dIFo0ePRkJCQrmv/eOPP6J58+ZYunRpmT8XU3h5eaFnz54AAKFQiPbt2+PevXsWPScAHDt2DI8ePcLChQu5Yx9++CEePnyIY8eOlfv4jIwMNGjQABMnTkSLFi3Qo0cPXLx4Eb1790aDBg2wZs0ai/tYVFSENWvWYP369dyWmHFxcejbty/Wr19v0nPUq1cP8+bNQ1RUFJo2bYpz585h9OjRaN68OUaNGgUqo020rB1LTY2nFEtLR7GUYqmjoUGtHQhFAnQb1QTHd9zkgrDWs0wZju+4icbtQ8x+/tzcXMybNw8HDhxAcnIy3nnnHXzwwQelnt+4cWMkJibi4sWLOHDgACZNmgQAePz4MWbPno3jx4/j/PnzVgkwAHD06FGcPXsWf//9Ny5dugQPDw988803pZ4/aNAgnD17FhcvXsT06dMxb948AMDu3buRnJyMa9euYd++ffjrr79Mev2JEyfi6NGjcHd3x8CBA9G7d29s27YNRUVFpT5m/vz5iIiI4G7GArhcLsfmzZvRv39/k/pRlqtXryIiIgJubm7cMTc3N0RGRuLq1avcsT59+nB96tOnD+85MjIy8K9//QvXr19HQEAApk6dir179+LcuXNYsmQJiouLLerj7du34eHhgQYNGvCOR0dH8/pY3s8uMDAQycnJmDJlCvr164clS5bg+vXryMjIwIkTJyzqI3FtFEsplpaHYmnViqW0+YKNvft5N6PHVSoNesQ3w7MnhbxgHBjmhR7xzaBRMXATC9AgIqjU5yjNmTNnkJqaim7d2MdpNBr4+vqWen5BQQHGjx+P69evQyQS4f79+8jOzkZSUhI6d+6MsLAwAEB8fDzWrVtn8Pjnz59zl4AKCgqQm5uLiIgIAMCsWbMQHx/PO/+3337DiRMn0K5dOwDsziaenp6l9i81NRXz589HdnY21Go1hEL2s9iJEycwcuRIiMViBAQEYPDgwab9gACEhYVh9uzZmD17Ns6dO4d3330XkydPhlQqNXr+0qVLeXugN2rUiNfOMAzGjRuHrl27crMN+jp16gSZTAaFQoF79+5xP6NRo0Zhzpw5Jvdd1x9//IHw8HAAbB5Y586dubZatWrhpZdeAgBERESgqKgInp6e8PT0RFBQEB4/fmxwWWz69Olc8Hv06BHXx0aNGuHnn382q4/l/ey0lwEjIiLQuHFjLrC3adMG6enp3P9jUrVRLKVYqkWxFNxz6aJYSoNamxNL3Ept04iEGD47irtsFhjmheGzoyD2EEEoFAAAhG5CCEt/CqMYhkGXLl2we/duk86fP38+2rVrhx9++AECgQDVq1ev0CfPgIAApKSkAGAv1W3atAmbNm0qs38zZ87EjBkzTHr+0aNHY/v27ejYsSOuXLmCoUOHmtw3AOjfvz8ePXqEOnXqYO/evdzxy5cvY8uWLdizZw9efvlli7a4nDVrFoqLi/H555+Xes6ZM2cAsJ/6x44di8TExFLPbdWqFVavXg2NRsO98Wg0GqSkpGD69Okm9UkikXBfC4VCg/sqlcrgMWvXruW+rlevHvd7NaZRo0YoKirCnTt3eDMMycnJaNWqlUl91O2nqX0kVRPFUuP9o1hKsVS/n1U5llL6gR0JhQKIPUQYPjsKDSKCDYKwuTp27IizZ89yly2USiWuXLlS6vlSqRS1atWCQCDAzz//zCX/d+jQAadPn8bjx4/BMIzByktz9evXDxs3bsTz588BAM+ePeNyu4zJy8tDrVq1AAD/+9//uOPdunXDjz/+CKVSCalUyguyun777TekpKRw7X/++SciIyMxbdo0tGjRAhcuXMD3339vdo7bxx9/jOvXr2P79u1c0LRUbGwsQkNDeXltCQkJCA0NRffu3a3yGpby9PTEjBkzMH36dO5y4+HDh3Hw4EFMmTLFzr0jVQnF0ucAKJYaQ7G0aqGZWjvTBuO+E1qBYWBxEAaAoKAg7NixA+PHj0dRURFUKhUmT56M1q1bGz1/7ty5iI+Px6pVq9ClSxfUqVMHABAaGooVK1aga9eu8PX1Rbdu3fDs2TOL+9erVy9MnDgRXbt2BQCIRCJ8/vnnqF+/vtHzV6xYgW7duqFatWoYMGAAd3zw4ME4ceIEWrZsiZCQELz88ssmvX5gYCB++eUXg/wlczx48ACLFi1CkyZNuMtTffv2xfLlyy16XoFAgF9//RXTp0/n+hkVFYVdu3ZZ3GdrWrJkCebPn4+WLVtCJBIhODgY+/fvR40aNezdNVLFUCylWGoMxdKqRcBUlSVxNlZcXIz09HTUr18fHh4e9u6OTSQmJiIhIQGHDx+2d1eM+uijjyASibBgwQJ7d4XYSFX4OyOu/3umWErszVX/xij9gBBCCCGEOD2aqbUSZ/jUM3HiRPz999+8Y71797Yoqd+aoqOjDZLZ586di5EjR9qpR8TROMPfGbGco/+eKZYSZ+fof2PmopzaKuSrr76ydxfKdP78eXt3gRBCykWxlBDHROkHVkYT34TYDv19VS30+ybENlz1b4tmaq1ELBZDIBDg6dOnCA4OhkBg+cpbQkgJhmHw9OlTCAQCiMVie3eH2BDFU0Jsx5VjKeXUWlFBQQEePHjgsp+ACLE3gUCA8PBw+Pj42LsrxMYonhJiO64aS2lQa2VqtRpKpdLe3SDEJYnFYt4e7sS1UTwlxDZcNZbSoJYQQgghhDg9uy0UmzZtGmrXrg0/Pz/UqlULM2bMgEKhAMBuayeRSODj48PdHj16xD02Ly8Pb7zxBvz8/BASEoIlS5bwntvSdkIIIYQQ4lzstlBs8uTJWL58Oby9vZGdnY3XXnsNK1as4HYw+fTTTzFjxgyjj502bRpyc3Nx7949ZGVloVevXqhbty7i4+Ot0l4ejUaDR48ewdfXlxYwEEKMYhgG+fn5qFmzptX2sXc1FEsJIeWpUCxlHEBWVhbTo0cPJj4+nmEYhunWrRuzZs0ao+cWFhYy7u7uzLlz57hjK1asYLp27WqVdlPcv3+fAUA3utGNbuXe7t+/b3JsqWooltKNbnQz9WZKLLVrSa/ly5cjISEBhYWFqF69Oj799FOuLSEhAR9//DHq1q2LmTNncrOoqampUCgUiIiI4M6NiIjAJ598YpV2Y+RyOeRyOXefeZGGfP/+ffj5+Zn9/RNCXFdeXh5q164NX19fe3fFYWl/NhRLCSGlqUgsteugds6cOZgzZw7++ecfbNu2DaGhoQCAZcuWoUWLFvDy8sLRo0cxYsQI+Pr6YujQoSgoKIC3tzdEopKuBwQEID8/HwAsbjdm2bJlWLx4scFxPz8/CsSEkDLRZfXSaX82FEsJIeUxJZY6RKJX8+bN0bZtW4wdOxYA0LFjR/j7+0MsFqNPnz6YMGECfvjhBwCAj48PZDIZb19rqVTKjeAtbTdm7ty5kEql3O3+/ftW+94JIYQQQojlHGJQCwBKpRK3bt0y2qabGNy0aVOIxWJcunSJO5aSkoLWrVtbpd0YiUTCzSTQjAIhhBBCiOOxy6C2oKAAGzduxPPnz8EwDK5cuYKEhAT06dMHz58/x2+//QaZTAa1Wo0jR47gq6++wvDhwwEAXl5eGDlyJBYuXAipVIpbt25h3bp1GD9+vFXaCSGEEEKI87HLoFYgEGD79u1o2LAhfH19MXjwYAwYMACfffYZlEolFi9ejNDQUAQGBmLmzJlYvXo1XnvtNe7x69evh7+/P8LDwxETE4Nx48bxynFZ2k4IIYQQQpwL7Shmhry8PPj7+0MqlVIqAiFVhEYuh1Ai4f4tD8WJ8tHPiLiSisYIYpqKxAmHyaklhBBHJpRIkBrdnt6sCCFGUYywPxrUEkKIiRidqimEEKKPYoR90aCWEEJKodHZdEWVnQ1GrYYqJ8doOyGk6uHFiJwcihF2ZtfNFwghxJFpLycyKhUYtRpQKnErtjsEbm4QiERoev6cvbtICLEjihGOhQa1hBCiR3fBh/ZNSZmVhds9e6Fx4jGIqlfnnUcIqZp4MSIzE7fj+qDRkcMQ16jBtVOMqDyUfkAIIXqMLfgQ16gBgZsbN6DVnkcIqbqEEgke/mcObkREQhwWBoGbG8Q1aiD/+HGunVQeGtQSQogORq1m/32x4EM3P04gootbhJASsgsXkLdnDxc3tDEi57vv7NmtKosGtYQQgpIFHQI3NygzM8Go1VA+fcpLNWh6/hwt/CCEcHFAXLs2IBQiYOgQLkaonj5FtVGjQNsAVD4a1BJCqjTtm5M25eBGRCRux/UBlErc7tETNyIieakIznY5cf369YiOjoZEIsGQIUOMnvPkyRNUq1YNERERvOOPHj1C//794e3tjTp16uDrr7+uUDshrkAbI3Q/0GrjhTg4GEI/PwS/9x4XG0TBwfDr1w8CgcAu/a3K6FoaIaRKE0okSH2pAxqfPMEt+FBlZ+NW9x4usSisZs2aWLBgAQ4fPowHDx4YPWfq1KmIjIxEjk6qBQC8/vrraNiwIbKysnD16lX06dMHTZo0Qbdu3UxqJ8SRmboDmHYAq1/JQJuiVHPZJ7xcewBgGAaypCSIa9WCe+3a1u88MYpmagkhVR6jUEAokSDzk2Uo/ucfiIKCXGZR2LBhwzBkyBAEBQUZbd+zZw9yc3MxZswY3vG0tDScOnUKy5Ytg7e3Nzp06IDRo0fjuxe5guW1E+LoKrIDGKPRlFq32rd7dwD8mdysFStx71/jIPT2NmgjtkODWkJIlaP7BqN88oR7cwqbNxcezZsDqBqLwqRSKWbNmoWvvvrKoO3y5csICwtDSEgIdywiIgKXL182qd0YuVyOvLw83o0QeyptBzCDTRUYhpeidKt7D64mrX6KEgD49u4NCIUQVatGW+dWIteP2oQQoqfMgunu7lwqgrOmHJjq3//+N8aOHYvGjRvj9OnTvLaCggIEBATwjgUEBCA/P9+kdmOWLVuGxYsXW6XvhJhD929adwcw/TQjgxihVkOZ+bgkRSknB7diu5eaouTVLhJe0dEAaOvcykSDWkJIlWF0U4XHT3C7d2+DNyfAeVMOTHHy5EmcPn0aFy5cMNru4+MDqVTKOyaVSuHr62tSuzFz587FrFmzuPt5eXmoTfmGpBKZugOYsU0VBO5i7nlE1auXmqKkjTN1N23kKqkYGzgT66NBLSGkytBd8KEpLkb2/75GjenTXCZ/tiKOHDmCO3fuoGbNmgDY1ICioiIEBQXhypUraNOmDR49eoSsrCzUeLE7UkpKClq3bg0A5bYbI5FIIKkCP1viuEzdAYxRqXCjUwygVqNZykWDGAGUnqJEW+faD+XUEkKqFO2lQKGHB2pMnwbAtfNnVSoViouLoVKpoNFoUFxcDIVCgVmzZuHmzZtISUlBSkoKPv74YzRt2hQpKSmoUaMGGjZsiJiYGMybNw8ymQxnz57Ftm3bMG7cOAAot50QR6T9wJqz5XveDmA3IiLxT0QkNyB18/YGI5fDp1tXAIYxoqy61dq2ZikX0ejwn4BYjMbHjqJZykWqdW1jNKglhLg03qIw7aXAp0957a78RpOQkABPT08sXboU+/btg6enJ+Li4uDn54fw8HDuFhgYCLFYjPDwcLi5uQEAduzYgYcPHyI4OBjDhw/HihUreOW6ymsnxFHJXsyWager1f71L3g0aQKg5IOvZ9u2qLl8udEYUVbdat722iEh7CyvTvWRqnAlyF4EDG15UWF5eXnw9/eHVCqFn5+fvbtDCCmH/qVAiMU2vxRIcaJ89DMi9sAwDG517oL6P/8EcViYweKxW7Hd0ejPQxCHhgKwPAdWm/LEMAxtyGCGisQJ173mRgip0rhFYcXFJTl0WVm43bOXS2yqQAgxjyI9A+qcHKQNeAVN//7LaA7s7d5xVvngq53lVT55AvVzKTyaNrHid0L00aCWEOKSdBeF/RMRiWrx8QiZNbNKLgojhJRwr18PDQ8fhiI9HQJ3d97isfJKdVWUUCLBvXfeReHp0wiZP48GtTZGObWEEJelzY0LmjABNWbOAODai8IIIeUTCARwD68Fny6dAfA/2JZVqstcXu0iAY0GsvPnLXoeUj6K7oQQl8HLjdPZxjJ40kSuvSpsqkAIKd2zH36ER4sW8GjRHIIXiyJ1WfuDr2/fvnCvXx9eUVFWfV5iiAa1hBCXYWp9SBrQElI1KR8/xuNFiwChEE3OnoWbjzev3RYffCX160NSv75VnouUzW7pB9OmTUPt2rXh5+eHWrVqYcaMGVAoFADYlW5vvPEG/Pz8EBISgiVLlvAea+t2Qohz0Zba4dWHPHKYrQ+ZeIzqQxJCAACy88kAAI/mzQ0GtEDZpbosoVEoIEtORvE//1j1eQmf3Qa1kydPxo0bN5CXl4dLly7h0qVLWLFiBQB2wJubm4t79+7h5MmT+Prrr7FlyxbusbZuJ4Q4F+0MrVAiwfO9e5G56COIa9SgRWGEEB6hhwSeERHwerlDpb5uzldf4e7oN5G7aVOlvm5VY7f0g+bNm3NfMwwDoVCIW7duQSaTYefOnTh9+jQCAgIQEBCAadOm4dtvv0V8fLzN2wkhzkm7KCxg0CAEDBoEgBaFEUL4fHv1gm+vXpX+up4v8mll52ixmC3ZtfrB8uXL4ePjgxo1auDSpUuYNm0aUlNToVAoEBERwZ0XERGBy5cvA4DN242Ry+XIy8vj3Qgh9sXbKezxY3ZRWHY2r51SDgghjsArMhIQiaB89AjKhw/t3R2XZddB7Zw5c1BQUIDr169j4sSJCA0NRUFBAby9vSHSmWEJCAhAfn4+ANi83Zhly5bB39+fu9WuXds6PwBCiNm0KQc3IiJxu3ccuyisew/ciIjkUhG05xFCSMGJE0h/bQRyvv2u0l9b6OUFj5YtAIBKe9mQQ9Spbd68Odq2bYuxY8fCx8cHMpkMqheXEgFAKpXC19cXAGzebszcuXMhlUq52/37963zjRNCKszoorA/D9GiMEJImWTnz6P42jXI0+/Y5fW9oqO5fhDbcIhBLQAolUrcunULTZs2hVgsxqVLl7i2lJQUtG7dGgBs3m6MRCKBn58f70YIsQ/dRWH/RETidlwfiENDaVEYIaRUGrkcNWbNQqMjh+EVFW2XPnhFR0Po7Q24Ua6/rdhlUFtQUICNGzfi+fPnYBgGV65cQUJCAvr06QMvLy+MHDkSCxcuhFQqxa1bt7Bu3TqMHz8eAGzeTghxfNpFYSJ/f9T+8r8AXGtRWGBgIKpVq1bujRBiGu2HYXFYGLyi7bMJgk+XLmiS9DdC5s4BALqaZAN2eRcQCATYvn07PvjgA8jlctSoUQPDhw/H4sWLAQDr16/HhAkTEB4eDk9PT0ydOpVXmcDW7YQQx8LbKSwnh9sprPHxRK7dlXYK2717t727QIjL0X4YFoeH2+X1tR+8BSIRUqPbc5vBEOsRMAzD2LsTziYvLw/+/v6QSqWUikBIJdHfKQxiscFOYY6E4kT56GdEbEn3Q64yKwu3e/ZCo8N/QhwSYtBeWYquXIFn69a4ERGJZikXK/W1nVVF4oTrXK8jhLgs7UwsACgzM3E7rg8aJx7jcmhdZYa2NHfv3sWZM2eQnZ0N3XmI6dOn27FXhDgmbTwwtm327V697fJhWNsnz9atoczM5K42VZUYVlloUEsIcVi6gT5tyFAoMzLQLOVilVoU9vPPP2PMmDFo1qwZrl27hpYtW+Lq1avo3LkzDWoJMUIokSD1pQ5ofPIEN3BV5eTgVmx3u30YNjbAvhXb3aGvNjkjh6l+QAgh+nQrHdT9+n8IfH0UANdaFFaejz76CJs3b8bFixfh7e2NixcvYsOGDYiOts8KbkKcAaNQQCiR4EZ0e2Qu+gii6tXt+mFYtwRh46NHqAShjVSddwZCiFPiKh0EByPkP/9xuUVh5bl37x5ee+013rH4+HiEh4dj5cqVduoVIY7F2GJSZWYmmunMgNrzw7BurBIFB3MDbE1hIVRPn0IUFgaA0hAsRYNaQohD0V/cwajVUGZlQVyjBu+8qhL4q1WrhtzcXFSvXh21atVCSkoKqlevjuLiYnt3jRCHYTR/Nq4Pe3nf3Z1LRXCUQaN2gJ3+xhtg5Ao0+v0gVUSwAko/IIQ4FN72tz17sW9OPXsZbH9bVYwcORKHDh0CAIwbNw6xsbGIjIzEqFGjTHr8+vXrER0dDYlEgiFDhnDHs7KyMHr0aISHh8PPzw+RkZHYu3cv77GPHj1C//794e3tjTp16uDrr7+uUDshlYV3eT/xGP/y/tkk7jxHiB/c1abiYjByBVSPHwMouSpFzEcztYQQh1LVKx3o+/TTT7mvZ86cifbt2yM/Px99+/Y16fE1a9bEggULcPjwYTx48IA7XlBQgMjISHz66aeoWbMmDhw4gFGjRuHcuXNo0YLdo/71119Hw4YNkZWVhatXr6JPnz5o0qQJunXrZlI7IZVFGxNyNm1C9bFjHXoxKdcXgQCNfj8IAFQRwUqoTq0ZqLYiIbajKSxExujRUGTcRbOUi05bz9HR4sRHH32ElJSUMjd2aNeuHaZOnYp//etfSEtLQ5MmTfDo0SOEvKjrOWXKFBQUFGDz5s3ltpvC0X5GxPllxL+Fels2O82lfGerv20PVKeWEOJ0tLMSjEYD+c1bcKsRDKBqVTrQGj16NLZt2wYAGDp0KAQCgdHzfv31V6u9ZlZWFv755x+0adMGAHD58mWEhYVxA1YAiIiIwH//+1+T2o2Ry+WQ66zyzsvLs1r/CVHl5qLowgUoMzMdKn+2NLyrUk+e4Hav3mj05yGIQ0O5dkfuvyOqeu8WhBCHpM2lbXr+HGqtWQNRcHCVq3Sg1apVK+7riIgIm7+eQqHAqFGjMGLECK5UWEFBAQICAnjnBQQEID8/36R2Y5YtW8Zth06ItRUkHgdUKtyfNg0Nfv7Z4WOGbv/EISEQuLlxA1r9dmIaGtQSQhyGdqGEX5843vGqFtznzp3LfT1u3DiEG9mrXjc/1hIKhQKvvvoqvLy8eAu9fHx8IJVKeedKpVL4+vqa1G7M3LlzMWvWLO5+Xl4eateubY1vgxDkHz0CAPDtFmvfjphJ96qU/NYtiOvUgVAiqXIf6i1B1Q8IIXajW3BcmfmYXSiRnW20varSLtrSp00TsIRCocBrr70GhUKBX375Be7u7rznf/ToEbKysrhjKSkpaN26tUntxkgkEvj5+fFuhFgDo9FAkZ4BAPDt2cO+nTGD7lWpJ8s/xZ2hw3ibzxDT0EwtIcRujG4d2b0HLZTQYWwtb3Fxcal5tvpUKhV302g0KC4uhlAohEAgwIgRI1BYWIj9+/dDovfG2bBhQ8TExGDevHlYu3Ytrl69im3btnELzcprJ6QyCYRCNNi/D/LUVEiaNrV3dypMO3AVSiRgwHCztlTmq2JoUEsIsRveQonHj3G7d1yVLt+lKzIyEgKBAMXFxWjXrh2vLTMzE127djXpeRISEnh5rJ6enujWrRsWL16MPXv2wMPDA0FBQVz7vHnzMG/ePADAjh07MH78eAQHB6NatWpYsWIFr1xXee2EVCaBQACPZs3s3Q2LaORyhM6Zg9A5c6B8/JjKfFUQlfQyA5WhIcQy2sCsH6CdtXyXMZbGic2bN4NhGEyaNAlfffUVd1woFCIkJAQ9evSAyMkrQ1AsJdbAaDR49J858IqOhv/gQRB6eNi7SxahMl98VNKLEOLQdCsdKJ88gfhFWaiqWL6rNG+99RYAtvpBZVRAIMRZFV+9iryDB1GQmAj/oUPs3R2L6F69UuXk4FZsdzQ+dhSiF1dTaKa2bPQOQgixC22uWNanK1Br9aoqW76rPBEREThx4gSSk5MNymV9+OGHduoVIY5DXKcOml+9AlVODoQ6ix2dkW7sE1Wvzu6MFhQEjUwGoZcXxcZy0KCWEFIpdAeryidZYNRqKB8/Rq3Vq3jnUdDm+89//oMvvvgCnTp1gre3N3fc1IVihLg6UUCA0+wgVlHaq1fS/QcQOOI1O/fG8dGglhBSKYxVOrjdO65K54qZ4rvvvsP58+fRzMkXwBBiS65YJUB79UqZmYlnO3Yg4LVX6cNsOWhQSwipFLxKB5mZuB3XhyodmMDT0xMNGjSwdzcIcSi68UKVk+OSVQKEEgnUUinSBrwCRiZD0cUUeLWLtHe3HBptvkAIqRRCiQTKR49w962xEIeFsbliL96AtO3E0KJFizBv3jzIaSMKQjjaKz83IiJxK7Y7W+M6tjtuRES61IYFbv7+8OvXFwDwbMcOO/fG8dFMLSHEpnTLd4lr1kSdb78BQJUOTPXBBx8gPz8fn332mUE5m9zcXDv1ihD7qkpXfgJffwPSX36FRiYDwzCUglAGu8zUyuVyvPPOO6hfvz58fX3RrFkzfPfdd1x7bGwsJBIJfHx8uNujR4+49ry8PLzxxhvw8/NDSEgIlixZwnt+S9sJIdaju9Ujo9FAIBLxKh2Qsu3evRtHjhzBkSNHsGvXLt6NkKpKKJGgMCkJNyIiXf7Kj2erlmh09Ahqf7EejEIBgLYQL41dpkpUKhXCwsJw+PBhNGjQAElJSejXrx/Cw8MRFxcHAPj0008xY8YMo4+fNm0acnNzce/ePWRlZaFXr16oW7cu4uPjrdJOCLEu7SKOp//9L2pMncrbEpKUjXboIsS4wlOnudji6ld+xDVrAuDX+CaG7DJT6+3tjY8//hgNGzaEQCDAyy+/jO7du+PUqVPlPlYmk2Hnzp1ISEhAQEAAmjRpgmnTpuHbb7+1SjshxHK6swjKrBfluzIfo8bUqQbtpGxKpRKLFi1Co0aN4O/vDwD4/fff8cUXX9i5Z4TYV+GZM4BGA3V+fpW48pP7ww8ADCs9aL9vV//+TeEQC8WKi4tx9uxZtGnThjuWkJCAatWqITIyElu2bOGOp6amQqFQ8HbYiYiIwOXLl63SboxcLkdeXh7vRggpne4ijts9e7Hlu+LiXG4RR2X497//jVOnTuGrr77icumaN2+ODRs22LlnhNiPpqgIyidPAI0GmqIiAK575Uc7WK02ciSUmZlspYenT7l23RSvqs7u8/UMw2D8+PFo3Lgxhg0bBgBYtmwZWrRoAS8vLxw9ehQjRoyAr68vhg4dioKCAnh7e/P2PA8ICOB22rG03Zhly5Zh8eLFVv2+CXFlRrd6dNFFHLb2008/4cqVKwgMDIRQyM5D1K1bF/fu3bNzzwixH6GnJxqfOA7FnTsQ16hh7+7YlLEa37d69YZALIZQIkGT06dcsk6vOew6U8swDCZPnozU1FTs3r2bC9gdO3aEv78/xGIx+vTpgwkTJuCHF9PuPj4+kMlkUOn8AqVSKXx9fa3SbszcuXMhlUq52/379633QyDEBQklEmR+tBhP/m9VyVaPLrqIw9Y0Gg28vLx4xwoKCsqMWYRUBQKhEJJGjezdDZvTThI0S7mIxonHAIkETZP+RrPz59Dk9Cmoskvq9Oo+piqy26CWYRhMmTIFSUlJOHToEJcrZox2sAsATZs2hVgsxqVLl7hjKSkpaN26tVXajZFIJPDz8+PdCCGGtIFUXVCA5z/+iNzNmwG4/iIOW+rRowcWLlzIO/bpp5+id+/eduoRIfbFMAwyP/oIz3/+mUs9cGW6kwCi6tXZGVoPj5I6vd1dt05vhTF2MnnyZKZNmzZMdnY27/izZ8+YAwcOMIWFhYxKpWIOHz7M+Pv7Mz/++CN3zpgxY5h+/foxz58/Z27evMnUqVOH2bx5s9XayyOVShkAjFQqteAnQIhruhEVzTAMw1xv2Yp5vGIloy4uZhiG4f6tKqwVJ7KyspiXX36ZCQoKYtzc3JiaNWsyHTp0YJ4+fWqlntoPxVJijuK0NOZ602bMP61aM2qZzN7dqXQ32r/Ei6eKR4+Y661aM0qdmOBK8bYiccIuM7V3797Ff//7X6SmpqJu3bpcLdqJEydCqVRi8eLFCA0NRWBgIGbOnInVq1fjtdde4x6/fv16+Pv7Izw8HDExMRg3bhyvHJel7YQQ82lzuzyaNUXw9GlUvssCGo0GWVlZOH78OA4ePIidO3fi119/xZkzZxAUFGTv7hFiF4WnzwAAPKOjIPT0tHNvKpdGLkfTs0m8Y1ydXp2YUFXjrYBhGMbenXA2eXl58Pf3h1QqpVQEUuXx9mB/+hS3evREo0N/QBwWZtBelVgrTnh7e6OgoMAldxGiWErMUZSSAunevfBo2RIBw4fbuzsOQVu7Vp2XBzcX+1uqSJygRDdCiEWMrcy9HdcHAjc3CEQiKhJuoTZt2iAtLQ2NqsCCGEJM4RkRAU+dspxVnXYhmerpU6jz811uUFsRNKglhFiEynfZ1uDBgzFw4EBMnjwZtWvX5i2cHTRokB17RkjlU+flQSCRUEzRIZRIoC4ogCg4GKLgYHt3x67MHtROnjwZ//3vfw2OT506FevXr7eoU4QQ5yGUSFBw+gyEnh7wateOyndZmXaThdWrV/OOCwQCGtSSKofRaOAmkUAtlcKtjKpJVY2bjw8AtjIEU1xc5XKNtcxeKLZ161ajx7dv3252Zwghzkedl4fMefNwN/4tAFS+y9rS09ON3u7cuWPS49evX4/o6GhIJBIMGTKE15aXl4c33ngDfn5+CAkJwZIlS6zaToi1iQICkBrdnga0RhSeOYP0QYPx+OOq+3dY4XefvXv3AgDUajX27dsH3XVmaWlpCAgIsFrnCCGOTSOXw83PD/V27sC9dydwqQiUcmBdKpUKSUlJePDgAUaOHInCwkIA7CKy8tSsWRMLFizA4cOH8eDBA17btGnTkJubi3v37iErKwu9evVC3bp1uWowlrYTYk3a2VnaPcs4gYcn5LduQXH/PkLmzqmaubUVrRdWr149pl69eoxQKOS+rlevHtOgQQOmY8eOzL59+ypcg8zZUG1FQkpo69IWnj9v5544FmvFiX/++Ydp1KgRU6tWLcbb25thGIbZs2cPM2rUqAo9z6JFi5jBgwdz9wsLCxl3d3fm3Llz3LEVK1YwXbt2tUq7KSiWkrIYq3HN1WTVqXHvSjVZLaHRaJi0VwYy15u3YFR5eQzDuMbPxqZ1arWXvoYPH867FJaWloYzZ87glVdesfa4mxDiwLSzJl5RUXbuiWuaPHky3nvvPTx48ABisRgAEBsbi1OnTln0vKmpqVAoFIjQWUUeERGBy5cvW6XdGLlcjry8PN6NkNIIJRKkdniZq7ByIyISt+P60O5ZpRAIBAj9aBEaHNgPN1/fKvmzMTv57ccff7RmPwghTkK/Lq12z3GqdmAbKSkpOHz4MABwtWr9/PyQn59v0fMWFBTA29sbIp0c6ICAAO55LW03ZtmyZVi8eLFF/SZVC6NU8iqsKJ8+xe0ePanCSil0JxeqYpqG2QvFrl27hu7du8Pf3x9ubm5wc3ODUCiEm5ubNftHCHEwurMmt3r0pFkTGwsJCUFGRgbv2M2bNxEeHm7R8/r4+EAmk0Gl88YnlUrh6+trlXZj5s6dC6lUyt3u379v0fdAXI9GLue+Vj55wg5qCwq4Y+LgYKqwUgrezy6rZMLBWLurMnum9q233kJUVBSWLl1q0mIFQohr4M2aPHmC271606yJDU2aNAnDhw/Hxx9/DLVajUOHDmHhwoWYOnWqRc/btGlTiMViXLp0CVEvZndSUlLQunVrq7QbI5FIIKH/G6QMxjZzuRXbnd3MRSJB06S/qcJKKcr82VWVjXDMTdz19fVl1Gq1uQ93arS4gVRluTt3MtdbtmJSO3ViGIZh/mkbYeceOSZrxokvvviCadmyJePt7c00b96cWbduncmPVSqVTFFRETN//nxm4MCBTFFRESOXyxmGYZgxY8Yw/fr1Y54/f87cvHmTqVOnDrN582busZa2l4diKdFn6qIwV1gAZW26PxNlVhZzvVVrRvHokdF2Z2LThWJanTp1wvXr1601tiaEOAHV06fIWr0GUKkQNHESAKpLawu6G9jcvn0bkydPxtWrV1FQUIDr169XaJY2ISEBnp6eWLp0Kfbt2wdPT0/ExcVxr+Pv74/w8HDExMRg3LhxvHJclrYTUlHaqzyawkKIw8JKTTWgq0GGdH8mohdpGuKwMNzq0ROaoiIIJRJeCoL2a1dKSxAwjE6h2QqYN28etm7dijfffBOhoaG8tunTp1ulc44qLy8P/v7+kEql8KuKdeBIlaRNK1BmZuLB9PdQb+cOMCoVFyhd+k1GKQPEXqXfN8KSOKF9HMAuCnPVKgEUS0l5UqPbV43L5jag/dn9ExGJ5ikXjf4sneHnW5E4YfYUy19//YWGDRvir7/+4h0XCAQuP6glpCrS5ms1PX8OYUsT2DytFwtDXXtAWwScXA10eR8Qexret4Hw8HB88sknaNWqFVQqlcFGN1q0TS5xRQUnTwIMA68OHWgzFzNxG+EUFUFUIxhASTUETXExNPn5EAUHu1yFBLMHtceOHbNmPwghDkxTXAyhhwcXAD2aNLFzjyqJUsYOYE+sBB4mA4PWA3unAmlH2fYus8qdsTXHt99+i4ULF+K7776DQqEwOlEgEAhoUEtc0tP161F86TLCli5FwPBhNKA1A3cFzdMTjQ8dgionBwzDsGkInp4Qeniwx1ysJCMlwxFCSqUNcEIPDygzM10uAJZL7MXOyD5MZgeya1qwxxv2sOlM7csvv4w///wTABAWFob09HSbvA4hjkYtlaL4ylUAgHdMJzv3xrkZVENgGAg9PV26QoLZg1qhUMgVAtenVqvN7hAhxHFUyRIxuvmyikJArQQGrALWRpacM2i9zQa0AFCzZk08evQIANCvXz+bvQ4hjqYwKQnQaODeoAHEeut1qrwK5vbrll9U5eSwC8aKi/nHYruj0Z+HuJ+1s09UmF394OLFi7hw4QJ3279/P7p164Yvv/zSmv0jhNiRNig2S7mIRof/BMRiNE48hmYpF7lcN5eizZdVFgHyFwXfhW7Agff55+2dyp5jI3K5HAUvCs7//PPPNnsdQhxN4Yt1Ot6daJaWRzc2GbtvBK8aQvXqEAgEEHp48I+5uUEcGgr1i8WozjygBSyYqW3btq3B/aioKPTq1QvvvvuuxR0jhNgftx1udjbEISGuvZOPfv5s//8D3NyBC5vZ1IOGPfg5tSdX2Syndvjw4ahXrx7q1KmDoqIitGvXzuh5Fy5csPprE2JPhWfOAAC8O3W0c08ciJVy+42VX9QeK7p8GT6dO1u12/Zg1ZxaDw8P3L1715pPSQixE41MBuWjR5A0agRRUBAAF69Jq58/u64dO5B9bTPbrs2hHbX9xYDWdjm1//vf//DWW2/hzp07ePfdd/Hee+/Z5HUIcSQauRyerVqDKSqG10sv2bs7jsMKuf1cNQSd9ALtMWVmJmTJyS4xqDW7Tu3atWt592UyGX799VeEhYVhz549Vumco6LaisTV6dakzTt4ENX/9S/umLPnXJWJYYC8RyVvGgAwOw1w96rUOrW61q1bh2nTppn9eEdGsZQYwzBMqWt2qrRnd4HP25Tcn3kd8K9l2VP+9BMeL/oIXtHRqLtls4UdtI1KqVO7a9cu3n0fHx/069cPM2fONPcpCSEOQrcmrXvdutwx3X9dgu7gNCsVCKzDXtbT9es77OysLhukHOjKz8+Hr68vAOCtt94qdfMFGggSV0QDWiOURcD+Gfxje6eyscmCK0Ze7doBGg2KLl8Go1RCIBZb1k87ozq1hBAe7SyJtiatT48edu6RjehuopB9C6jekE0rqOT8WWNq1arFDWQDAgIM3uS1vyOqNENcBaPR4M4rA+HRrClCFiyAqFo1e3fJcWhzarWxaeBaYN/00mNTBaokuDdogJB58+DZtg0gNLt2gMOw6Du4e/culi9fjqlTp2L58uUm59PK5XK88847qF+/Pnx9fdGsWTN89913XHteXh7eeOMN+Pn5ISQkBEuWLOE93tbthFRF2koGAoGgpCZtdjY3oHKpSgdKGftmcGIlsPMNNr3gxEqg41Sg62x29sO/Fvtv19kv8tYqZ0ALANeuXeO+Tk9Px507d3g37TFCXEXx9X+guHcPBSdPwe3FVQrygtgL6DSdjUWvbmQXr762yXhsqmCVBIFAgGrxY+DZti23Q6QzM3um9siRIxg0aBA6d+6MBg0a4Pjx40hISMDu3bvRq1evMh+rUqkQFhaGw4cPo0GDBkhKSkK/fv0QHh6OuLg4TJs2Dbm5ubh37x6ysrLQq1cv1K1bF/Hx8QBg83ZCqiKjNWm793DNmrQGi8KiStq6zi65nCf2fDELYruatMbUrl2b+7rui/QPQlyZe+1wNL96BaqcHKe/BG518nw2DarPUuDJtRdVEC4AI7bwY5MFVRKUmZlQPnwIr+joSviGbIgxU1RUFPPzzz/zjv3yyy9MZGSkWc83dOhQZuHChUxhYSHj7u7OnDt3jmtbsWIF07VrV4ZhGJu3m0IqlTIAGKlUatb3SogjUhcXc18rMjOZ661aM8rsbKPtLiHjDMNk32KYRX4lt+cPrPb01ogTN27cYEaOHMmEhoYy7u7uTGhoKDNq1Cjmxo0bVuunPVEsJbpuREXbuwuO6cJWNj6tbccwGg3DfNmZvZ+8xfBchYxhtgzhx7UtQ9jjpZClpDDXmzZjUjvFMBqNxobfiHkqEifMTj9IS0vD0KFDeccGDx5s1iWx4uJinD17Fm3atEFqaioUCgUiIiK49oiICFy+fBkAbN5ujFwuR15eHu9GiKvRXQAmDg11vZq0SlnJ1w8vADXbAr/N5p9j400VKiIjIwMvv/wypFIpEhISsGfPHiQkJOD58+fo2LEjMjIy7N1FQqxKm8fv0nTjkLH7xlzeyf7bdhQgEADNXmHv3zhgeK5QBPRfyT9Wzg6IkubNIXB3hzonB8p798rvjwMze1Bbv3597Nu3j3fst99+Q/369Sv0PAzDYPz48WjcuDGGDRuGgoICeHt7Q6RTDzMgIAD5+fkAYPN2Y5YtWwZ/f3/upntpkBBXId27F7KLF7n7LlWTVj+vLLgpf+HFzOvsv9qFF6a80djYp59+ivj4eBw8eBDjxo1D3759MW7cOBw8eBBvvfUWli9fbu8uEmIR3Tx91dOnbB5/To7RdpdgLN/12m52O27eeTrxR/oASD/Jft16BPtvswHsv3eOGT5Wo6zwh3Whuzs8WrWCuHZtqJ4+rdj35GDMftdavnw5hgwZgu7du6NevXrIyMhAYmIifv31V5Ofg2EYTJ48GampqTh8+DCEQiF8fHwgk8mgUqm4gadUKuXK29i63Zi5c+di1qxZ3P28vDwa2BKXosrJweOPl0BTUIC632+BR5s2BoW6nZaxPLNzXwMxM9j2StxUoSKOHTuGP/74w2jbzJkzy127QIijM5rHH9vd8fP4K1BdgHdOaXHo1JqSuKNblUXsCXgEAAM/B7L+AQJf5NeHtAQC6gLP77IfxJsP5L+G9sN6/5XsANeECi51vv0GQk/7xz1LmT1TGxcXhytXriAmJgYMwyAmJgaXL19Gnz59THo8wzCYMmUKkpKScOjQIfj7+wMAmjZtCrFYjEuXLnHnpqSkoHXr1pXSboxEIoGfnx/vRoir0MjlEFWvjgb79sKjdWt4RkW5Vk1a7aIw7Uzsmhbsm8jpz4DOM+2+KKw0T548KXWRWJ06dZCVlVXJPSLEurQ7WjVLuYhGh/4AxGI0TjyGZikXuQ/VDqeC1QU4xuJQ5JvAX+tLqrBIH7L/nlhZcsVI4gNEvQX007kyU1oKgvY1tBVcru9lqyWYUMHFFQa0AMxfKGapyZMnM23atGGydRaiaI0ZM4bp168f8/z5c+bmzZtMnTp1mM2bN1dae3locQNxNdoFGgV/J9m5J1aiKCz5Wq1imKI8hslJs9miMGMsjRN+fn4WtTsDiqUk85NlzD9tIxiGYbh/HZaikGGOLClZfPX8QcmirCNL+HHHGHkhw2TfNlzApb+w689FDCMvMHxtXemnGGZZHYb57d/sfZWCYfZMZZis1JJzjy1nnzs3g11gVgaNRsNkf/01c2/CREaZm8tr0y4SttdiYZsuFNuwYQMGDRpktG3w4MH45ptvyn2Ou3fv4r///S9SU1NRt25d+Pj4wMfHBxMnTgQArF+/Hv7+/ggPD0dMTAzGjRvHK7dl63ZCqhrtAg3vDi6w37ruzIlaCaiKAQGAA+/zz3OgRWHGFBcXY9asWaXe5I44i0VIBagLCiH9+Wcu/jh8Hr+x2VbtpX5jM6G6ubEKGRuHfvug5FjaUeDaLmDQupJjDXsA3f7NXk2S57PtCpnhbHCdjsDs20C/T9n7V34CLmwBNvYDdxH+pXfYnNwb+wFN2YvwBAIBnu/ajYITJ1CUksJr06aJOMOVuwr/D9q4cSO+/PJLo22LFy/GxIkTMX78+DKfo27dumAYptR2Pz8/7Nixw27thLg63VxZ3QUa2moHTptLq5+3NmAVIBSzxcodYKewinjjjTfw7NmzUttff/31SuwNIdYn3bMbmsJCuDdowKUiOHzsEXuyMWRNi5JjQzcA0BvT6ObGCoRs+8k1/Dh07mugaX/g57dLHtd/JT+G9V8J/DDasNasUAhAyMY8Nwkbyxr2YPsi9mDP9aoGTDkLqIoAN53av6XkAHtFtkWdb76GOCyM/T0I1dx5zlKZosKD2rS0NERGRhpti4iIQFpamsWdIoTYltMu0CiP/qYKayPZQP/aZrbdQReFGbNx40aTzz19+jRiYmLMfq2HDx9iypQpOHnyJAQCAXr06IEvvvgCwcHBUCqVmDlzJrZt2waBQIDRo0djzZo13ELb8toJKY1nRAT8BgyAV/to58njVxaxH4q1GvYARB78xV2KQnamVffD9YUthotTu85mz9Mf6MbMMNwYhpsN9uT35eRqdrexlkPZHRH/Ws8/T1Vc0jeRB/++3nN5+mRBHBaG1Jc6oPHJE9yAVvn4MbfDpCgoCIDjTnxUOOrI5XLk5+cbrRaQn59Pl8QIcQLaWRGA3UnmdlwfNE485vwztQAbuAesYge0APvGoFbwF4E52KIwS/Xr18+i+tlTpkwBwKaGMQyD0aNHY/r06dixYwcSEhJw6tQpXL9+nXutTz75BB9++CEAlNtOSGk8W7ZErVX/Z+9umE6/usDAtezxM2uNVzXQ/XCtpbtjobs3O7gESgaZ3f4D3E9iUxLWtCx5nH6tWf2rUv1XsjO+ujO6gN6Vq9XAgVmGs75KGXDqM3g9/w0AwGg0TrvDZIVzaiMjIw3q02rt27ePt6kBIcQxCdzdcfetsbgREQlxWJhzb7SgX1NWVWyYP/vrO2AT2nQ4YMqBucpK5zLFnTt3MGLECPj4+MDX1xcjR47ElStXAADfffcdFixYgLCwMISFhWH+/Pn49ttvuceW106IPm1VA4esblAW3eoCr25kP0D71ABi3jOsrpL6Gz9XFgDav8MOZHnP6Wn4gbt2B2DvNP55+msA9PN710UZ5vfqn7M2wmgOsEbjBnSfB/flD6HMzASjVEJTVMRVpmiceMw5KlPAjEHtBx98wH2CV73IsVCpVNixYwfee+89/Pvf/7Z6Jwkh1iX76y/IkpJe5GU5wQKN0uguClMWsZf9Tq5y6E0VbEEgEJR/UhlmzZqFn376CVKpFM+fP8eOHTswcOBAPHv2DA8ePDDYgfHevXuQSqXltuuj3RkJwF94pHa2/wNPrrE7e/32b8A7CBBJ2NvAz0vOadgDaDmk/IGpln7NW1NjmNiT/7qA4YyuNge4jHO0v48bEZG4HdcHkMuR+nJH3Ihuj5sxnSGqXp2b+NAUFnKPcUQVHtQOHDgQS5YswcSJE+Hl5YWaNWvCy8sLkyZNwpIlS/DKK6/Yop+EECt6uo4NcgGvvcpboOFUtMFfW+Mx7xH7dcepJXUa/Wux/5pQp7Eqi4mJQVZWFgIDA1GtWjU8e/YMc+fORUFBAQB210Ut7df5+fnltuuj3RmJlnbhkZuz1X2/tJOdFXX3YuvFAoBGDex7r+Qc7WIvcz5c69eaLSuGKYv4rwsYDpz1c4CNnKNbL7jx4d/ZWdlDv6HZ+XNocvoUgJKJj8dLPzH5R2UPZm2+MGnSJDx8+BAHDhzA//3f/2H//v148OABV5KLEOKYtAPXOt9+A78B/RH0zjvOs0BDn8Hlt3ZOsamCo9FoNOjduzdiYmJQUFCAgoICxMTEIC4uDj4+PgDAm3XVfu3r61tuu765c+dCKpVyt/v379vs+yKORfdDszIri114pLMlq1N8qGYY4Paf7NeNe7P/GptZvbjVsg/XxlIS9GOYKTO6+udMv2h0cC0UqoFjnwBLQyEKqcnOyobUBJaGAseWcYNeZWYm8g4dgkbmuFe8zL7m6OPjg969e5d5jp+fH11eIsSBaC8zNT1/DrVWrbJ3dyynVgD9/48d0GoZzVtz7RlaS3Jqc3NzcffuXUyfPh1eXuzPadq0aVi5ciXUajXCw8ORkpKChg0bAmB3YKxduza3C2R57bokEgkkzvbhiViF0YVHPXo6/MIjnpw04FkGWyawflf2mPbDNcBf7HVtl2UfrvVjlrH7+q9rrKqL7jnSh2wusH6FBLEX29cXuHS0TtOBzjMgFEvAMAzujn0bTEEB8o8cgf/Agfz+mLN1sA2YvU2uKSxdvEAIsT5nqTdoFK+YeSFbe1G3mDng8JsqVNTkyZONHp86teSS4sGDB81+/qCgIDRq1AhffPEFiouLUVxcjC+++ALh4eEICgrC22+/jaVLl+Lx48d4/PgxPvnkE14t8vLaCQH0LnE70cIjHu0sbd2OgETnSoSxmdWWQ2z/4dqUGV3dY9UaAIcWsjnBN/8wfK7OM0rS0QqeAR0msjVwwebt+79IL5Xu2ct/rLlbB9uATQe1li5eIIRYjnfZ70W9QWVWltF2h8ZbFFbMHjM3b82JbN261ejx7du3c1937tzZotfYs2cPLly4gFq1aiEsLAxnz57F3r3sG9fChQvRsWNHNG/eHM2bN0dMTAzmzZvHPba8dkKAkvSm+5On8BYe6bc7tFsvBrWN+FepFWqFwYBVITR+IVyhVli3T+XN6OoeEwqB8Gg2J/gfnYFp/hNAJQfEXiXpaD6B7OYNwpJhov8gdna28MyZkvcQ/bUNz++z/55YaZc4LGBsOJ3qqukHeXl58Pf3h1QqhZ+zJbmTKkn/sh/EYue67Kdbk7FhD34xc91Lacoih9lUwdI4oR1Uvv7669i5cyfvyldaWhrWrVuHO3fuWK2/9kCxtGpR5eTgVrdYNL96hUuDciqZl4Cbh4BWw4DqDXlN7be2h+rFVrQigQjnxpzjHQMAkVCEc2/a+XtWFrMVHMKjSo7tHA08OMeWIGvSx/AxGg03uM14/Q0UXb6MWqtWwa/vi3OVRexAVlv/FmDj9KjtVonDFYkTTlrHhxBiKt5GC1lZuN2zl/NttGBspzAt3WLmLrQo7L332FXNxcXFmD59OndcKBQiJCQEa9eutVfXCDGL7OxZQKOBMivLObbE1RfWlr0ZodKooGJUZR/T2LJzJhJ7sANabc5rbjr79du/AW7u/HPvn2UXkNVoAfRlqx6EfrQIomrVIHwxuGR/h57AK58Bn7cpeax+abFKQjm1hLg43TcNcY0aznnZD2ALnevXW3ThRWHp6elIT0/H8OHDua/T09ORlpaGM2fOUPlE4nQKk5IAjQY5LzbncJrY42q0qVyKQnb3slc3sqXKvIP55wndgAH/Bzy/y54LwKNBbYiCg3m1hqEsAvbP4D/WTmsbbDqopbwqQuxPLZUi67PPoH5RaslpNlrQzcVSFrM7hZVTb9EV/fjjj/buAiFWIfs7CQDg/dJLdu5JBWjj0LbXgHPfAfIC+/bHUro5sD+8yebY/vy28RzYGi3Ywe7gL4CnqWysPfUZFBlpAHQWHZ/+HEg/ATSOA6ZdBBr1stvaBrPf3dRqNbZt24bk5GSDItvfffcdALYmISHEvnK++QY5X38D2flk1Pn2G+e47KedSejyPgABwKjZGrTaRWGD1rMDWm3g1O5hbgMKtQLu+pflyjhubdeuXcPUqVNx4cIFbrMDhmEgEAigVqtt/vqEWIPyyRMoMjIAoRBe7dvbuzum4eLQLDbtoNUwtg62kZx9kVDEpReIBCKDYwAqJV6USz+Va92L3Fpu69wX35fuOoaHyUD//4OmqADC7vPgDrDb6arVUGXnQBQ7B4idw72vaF7bBuHpVXZJBTN7UDt+/HgcOXIEffv2NVqPkBBif8rHj5G7dRsAoPq//uUcGy0YBNNVwMUXi8KAsmsy2oC7m7tdF3y89dZbiIqKwtKlS+Ht7V3+AwhxQG5+fgj/7xdQpKc7xy5iBnFoJTujqV0MpfNBulhVbBAPFGqF0WPGVNYHZI5269w1LUqOGWyvqzf4/eIlCD/MMaw13L07u+hYIkHTpL9LFgB2mWmXnFqzB7V79uzB9evXERoaas3+EEKsRCOXQxwaioa/HcDD2f+GT/dYe3fJNAYzCfZfFGbPBR83b97E2bNnIRTaNFuMEJsSenrCt0cPe3ejbLobBpg4o/kg/wGG7hmKnnV7YkmnJRC7iQEYn5U19gHZ3c0dSaOTbPt96Stt61z9agW6g19GA03uQ27RsSo7G7e69+AtOgZ0UhLEXmy1iIC6gGcA76W4GV0bXDE0O0pWr16dSrAQ4sC0ifzisDDUmDXLuepGC9zYsl26KmFRmNVrSFpBp06dcP36dXt3gxCLyM6dg6a42N7dKJ2xDQTuJ7FlrnTpzWiefHgSxepiPCt+xg1oy6L9gKxiVNBAgz1D9hg9z2axyJTtdblzdQa/jAbCda2Ara8CyiKIgoIgEIshfLFVNqCTkqDd/jisLTSMzjBTVQwoZXqLzKybc2v2TO2iRYvw7rvvYtGiRQgJCeG10WCXEMeg/dTs1S6ynDPtTHeGRK1mc2gPvM8/x9hMgpXpz6Ro603aU7t27dC/f3+8+eabBlfGdEt9EeKoFA8e4O6YeAi9vND4778gdHeA3FJd+qkGg9YD575mU55+fpt/rl4cer3Z64isEQkBKj5pIIQQod6hvJgjFAhxYNgBhHobXgW3SpqCqdvran8m2sHvwLXAvunsrmqn1gDd57GD2rK2P3Z3R+OTJwC8mJ2FEvjrCyB2js4is7VAzHtWi+tmD2rj4+MBsLvaaGeAaPECIfalezlHlZPzIpE/G6KgIIN2h6G7KEzsCaiL7bYoDDBeb1J/wYeolN2CbOGvv/5Cw4YN8ddff/GOCwQCGtQSpyBLYi+vS5o2dbwBLWCYarCmBTAtmd3YRT8O3Ulk41PnGbiQewNNApugWbVmFr28bswRQWT7ga5J2+uWMvi9tgtoMZitf570NzTFxSUpCTk5uBXbHY0O/QFxWBj3VKkvdWAHtxJfIHYOVE8fv5jRfcwuMoP13pvMjszp6ekWvzghxLqMfmru3sNxdw8ra4YEsOmiMFPeDDTQ4HHhY6OLwiprccexY8ds/hqE2JL6+XMIvbzg9XIHe3eldCIPNtVgTUv2/m+z2bgjEAKdZ3JxSKEqhrtnIACgXUg77uGmxgNjVRKMKW+gq30usxesmrS9rpHBb8uhwMlVEHZ5HzizHsLIN4Fjq4HOM7ntj8VhYbgR3R7+rX0RtvEoGI2mlBndOKu/N5k9qK1bty73dXZ2NoJezAQRQuxHd/cwY4n8DjdTa2yGRMvGi8JMSTXQMBoM+HUAksckG308IaR81ceNQ7X4eGjkDpSzrpvypFEDagWwd1pJ+51EdgDbXafevtgT7mJPsweXxioiVIRdFqzqDnbLqwjRfR4E7u7QyOVopn0fevIIjFIJTVGRzoxuNm7F9kDjw79DFFKT/Vas9N5k9kIxmUyGCRMmwMvLCyEhIfDy8sLEiRNRWFhocacIIeYRiES4M2QIbkREson8zrB7mPjFFou6KmmnMN1FG9ysiFAEkaDkJhTYt+qAUCiEm5ub0RshzkIgFsPNx0FK0ukuClMr2QVMBounesLdMxDtt7ZH5JZIRG6JRPvv2fq6+nFDd4BbltI+COvHHIelnYTQLixbF1XyM+s8k51UOZvEzcreiIjErV59AbkcqS93xI3o9rgZ0xmi6i/em0JqAttHAsoiq703mf3Te//993Hz5k0cOXIEDRo0QHp6OubPn48PPvgAX375pVU6RwipmPxDhyC/kQphtWoAnGT3MEWh8S0WrbgozFlSDYy5ePEi7/6jR4+wcuVKjBo1yi79IaQi1Pn5cPP1hbqwEG6OUGdZf7ZxwCrgwos62LqpBiO/B2A8x96aSpu9NSVNwdgHbptvFiP25KdpAFxFCG1veFcMnz7GrR5xaHz0METVS67oc+9Ntw9bda2E2VMQe/fuxS+//IKOHTsiJCQEL7/8Mn788Ufs2WO8PIW+9evXIzo6GhKJBEOGDOG1xcbGQiKRwMfHh7s9evSIa8/Ly8Mbb7wBPz8/hISEYMmSJbzHW9pOiLPyjYtD2NKlCJk1kwssGrnc3t3i0y3hIs/nLworq7yMBbSpBvozLrq0qQalPd5e2rZty7v169cPO3fuxPr16+3WJ0JM5ebri9To9o4xoAUMZxvXRgKnP4cCDNB9Hj/lqRKUNgA99+Y5XIy/iIvxF7m0KN0ZXXehOw4MO2D0+XRjXeSWSLTf2t56MUxZxE/TAAy2K2dLdRUBicshCg59ccUwiI33x5bx35s6z3qxVsI6V+LMnsZhGMagGLhQKATDMCY9vmbNmliwYAEOHz6MBw8eGLR/+umnmDFjhtHHTps2Dbm5ubh37x6ysrLQq1cv1K1bl6vIYGk7Ic5Gm4/EqFQIGD6M1+ZQKQe6lQ7USnZmJOY9ts3GO4WZUtXA3qkGpvLw8MDdu3ft3Q1CysRoNBAIhSXlmxyF2JMtUfVZK/a+QMilGphSzs/W1VDKGujqM9Znm+Xe6pf5KqsyjdgTiGGrs3Czsm5ioPN7EIp1dra08s5jZv8mXnnlFbz66qtYvnw56tati4yMDMyfPx8DBw406fHDhrFvvCkpKUYHtaWRyWTYuXMnTp8+jYCAAAQEBGDatGn49ttvER8fb3E7Ic5Im8PkcNUNdBnZSxy/fcC2DfkK0G4OYeGiMGdONTBm7dq1vPsymQy//vorYmNj7dMhQsqh/ZAtEApLCvLn5DjOglVlEVtzVU95H3yFAqHd4ob+c6s1argJ3WyeHsFjao1bnfN1Z2WFEg/jz2lFZg9qV69ejenTp6Nz585QKpVwd3fH66+/jlWrVpX/YBMkJCTg448/Rt26dTFz5kxuwJmamgqFQoGIiAju3IiICHzyySdWaTdGLpdDrnMJNy8vzwrfISHWpZ0N0daLdjgG206+KIfTsAfg4ceW1NE910yuVtVg165dvPs+Pj7o168fZs6caaceEVI2o+WbYrs7RmlBg00FPgf2zzI4raIffCs7brgJ7bRQ1JQatzq0H14q60OM2YNaHx8ffPfdd/j222/x9OlTBAcHW+2NdNmyZWjRogW8vLxw9OhRjBgxAr6+vhg6dCgKCgrg7e0Nkc4CmICAAOTn5wOAxe2l9Wfx4sVW+d4IsRbd2Q7d7QlFwcEG7Q5Ddy9xLb1tJ63BlVINqE4tcTa6C4WUmZm4HdfHcUoL6s82ukm4RWG6nOmDrz6bbxZjSo1bO7H4OxUIBKhRo4Y1+sLp2LEj93WfPn0wYcIE/PDDDxg6dCh8fHwgk8mgUqm4galUKoWvry8AWNxuzNy5czFrVsknuby8PNSuXduq3zMhFVXm9oT2ng3R4tWC1ABqecle4lpWrHRgbJbamVINSnP37l3s2LEDDx48QHh4OF5//XVerXBCHIlQIgHDMCg4fgK+sd0cr7Sg/uyikP3XGT/4Okp6hKOo0G+sTp063NeBgYGoVq2a0ZvVO6mzIK1p06YQi8W4dOkSdywlJQWtW7e2SrsxEokEfn5+vBsh9qadDWmWchGNDv0BiMVonHgMzVIuOkbVA91akAwDqIqM1IK0rNKBQs0v5m7sapGjVjUw1ZEjR9CiRQscO3YMarUax48fR8uWLXH48GF7d42QUgkEAvjGdmO/dqTSgveSgHPfsjFJx/Pi57yKAxfjL+Lcm+cMYowj0a+SkDwmGaHeoVyflyUtQ5cdXbA/bb9TxDqrYCrg5MmT3NeJiYml3kyhVCqZoqIiZv78+czAgQOZoqIiRi6XM8+ePWMOHDjAFBYWMiqVijl8+DDj7+/P/Pjjj9xjx4wZw/Tr1495/vw5c/PmTaZOnTrM5s2brdZeHqlUygBgpFKpyY8hxBaerF7N/NM2gmEYhvvXISgKGebIEoZZ5McwW4YwTG46w/y5iGFkz9jjCtmL82T8+2aI/j6aidgcwURsjmCit0QbHIvYHMFEfx9t8bdUUdaKE1FRUczPP//MO/bLL78wkZGRFj2vvj179jBt27ZlvLy8mLCwMObLL79kGIb9Pl5//XXG19eXqVGjBvPxxx/zHldee1kolrqugr+TGLVczqiLixmGYbh/7W7bCDYu/T6Pd/jq06vMxEMTmVMPTtmpY9b3rOgZ87z4ub27YbGKxIkKDWp1bd++3ejxHTt2mPT4RYsWMQB4t27dujFZWVnMSy+9xPj6+jK+vr5M69atmW+//Zb3WKlUyowaNYrx8fFhgoODmcWLF1u1vTwUiImj0Gg0TP6JEwzDMMyNqMofuJVJIWMHtIv8Sm5/LmIYeYHeeYUWvUzE5gim1aZWTKtNrZg2m9swmQWZRs+Tq+QWvU5FWStOBAQEMGq1mndMpVIx/v7+Fj2vroMHDzK1atVijh07xqhUKiY3N5f5559/GIZhmPj4eKZPnz7Ms2fPmNTUVKZ27dq8SYDy2stCsdQ1yTMymOtNmzGpHV5m1EVF9u5OSYzJucPGpOxbDPP8QUmzSmGnjlWOGzk3mNXnVzMajcbeXTFLpQxqfX19jR4PDAw09ymdBgViYm8alYrRKJXcfYebDdF6dpc/qNV5I7FUsYr9XnUHta02tWLabWlntdewhLXiRGRkJLN7927esb179zIREdabmY+OjmY2bNhgcLywsJBxd3dnzp07xx1bsWIF07VrV5Pay0Ox1DU9/d//mOtNmzF3337b3l3hXw26+eeLq0UJ3NWhO8/vMD1+6MFsvrrZaQd9ZSlWGn9PqOwP+ZaoSJyocKKLtpwVwzDIz8/nbbaQlpYGsVhsfi4EIaRc2pXDyqwsyG/dgk9MTKWXTTGJUgbse49/zIJFYfoLHSRuxr9XDWOtSuOOYfny5RgyZAi6d++OevXqISMjA4mJifj111+t8vyFhYVITk5G//790aRJE+Tl5aFLly5Yu3YtHj9+bNUSiVQesWrQFBRC4OEB37i4yn9x3cWpBrWxVwK/jINi0Fq4v4hB9f3r48iIIwBcczGVRCThlTgE2MVlxhaTuYIKL+0LCAhAYGAgZDIZ97X29tJLL2HatGnlPwkhxGzaqgfiGjWgyHCgXaV0F3opCvm1IGdes3hRWGlb3epuHSkSiKxfvsbO4uLicOXKFcTExIBhGMTExODy5cvo06ePVZ7/2bNnYBgGu3fvxp9//onbt29DIpHgzTfftHqJxGXLlsHf35+7URUZ11Rj5gw0OXMa/oMGVe4L6y5OBQCBG7tjoTb2rIsC7iTC3a+WbbeSdTDaEofcTWPaZg2lLZJz5MVzFY7+6enpYBgGHTp0wNmzZ7njQqEQwcHB8PAwsmMEIcSqtBstBI54zc49eUF3+1uxJyAU2WT7W936s65QqstUDRs2xLx582zy3D4+PgCA6dOnc2XCFi9ejMaNG+Pjjz+2aolEKo9YdQi9Krl2qf6srHYL11pRwCtrgM/b8k632VayTqq0DSWcbZa3woNabdB78uSJ1TtDCDFOt1i5KieH3WghOxuioCCD9kpX2psJYPb2tyZtdevExdFNsWHDBhw4cAB79+41aBs8eDAGDhyI8ePHW/w6AQEBvHKNulq3bs2VQIyKigJQeolEY+36JBIJJI6UIkOs7sHMWXAL8EfQ+PEQ16pVeS+sv2PhmhbsDG2n6cBPb1VeP5xUaTsxOtvg3+zKwq+++iqOHz/OO5aYmIgRI0ZY3ClCCJ825eBGRCRuxXZnN1ro3gM3IiKRGt3evrm02jcT7SW+NS3YfwGzt78tLdVAn6vlz+rauHFjqTsZLl68GN98843VXuvdd9/FunXr8PDhQxQVFeHjjz9Gz5494efnh5EjR2LhwoWQSqW4desW1q1bxw2mvby8ymwnVYumqAjha1Yj6N13ATc7bOOq3bFQq/9K4Mxafm3sBt0rv192pp+ipf3Qr5+GoJ+m4IzMTj5LTEzEzp07ecdiYmLw2msOcjmUEBfC23by6VPc7tHTcbadBNg3k4GfA5/pzNBZuP2tKVvdulr+rK60tDRERkYabYuIiEBaWprVXmvOnDnIzc1F27bsJdru3bvj++/ZrUPXr1+PCRMmIDw8HJ6enpg6dSri4+O5x5bXTqoOoacnUqPb2283Q2URf8fC32YDr21mv9amPb3YEreqxBLtBg36xwDX/J7N/o6EQiGUSiVvgYBSqeRVQyCEWIdQIsH96dNReOIkmqVcdIxtJ3VXGSusW+lAX1XKn9WSy+XIz883mp+an5/PqyJgKTc3N6xatQqrVq0yaPPz88OOHTtKfWx57aRq0eb7VzptGpR2VvaVNcD+mWzqgU4alAwMiotzq0wsMfb9lJZqYIyzDf7NTj/o2LGjQdmWTz/9FB06dLC4U4QQPtmFCyg49CcYDRtd7L7tpO4qY3kBcGq12dvfmrKS1tm3ujVHZGQk9u3bZ7Rt3759vDJahNiL7nbcysxMLt/fWLtNib2AzrOArrOBVzcCntXYD9W1onhpUN9d/Q7df+yOYXuGGUzCuWosMcZYqoFumoJQIOQmEpxp62Cz3xlXrVqFXr164YcffkDDhg2RlpYGuVxO+5ETYmUMwyBr1WoAQMCQIVwqgt1SDvQXhg1ezy7GANiKByJJhSodlDZroD9DIBSY/RncKX3wwQd4++23IRAI8Nprr0EkEkGlUuGnn37Ce++9h40bN9q7i4Rw+f6MSgVGreby/QVubhCIRJWbipD0JdB2FJC8Ceg8gz2mtzi1X/1+SH2WisENB0OgXcRaxZlyJezms5sYuW8k/CR+ODjsoMN+ABAwFuQLyGQy7Nu3D/fu3UPdunUxYMAAeHt7W7N/DikvLw/+/v6QSqXw8/Ozd3eIC+M2WsjMRNqAV9Dw4EGIQ2rYu1vsDO3ON0oWhDXsAQxcC/jUYAe1AD89oRyRWyK52QKhQIg/hv+BUO9Qg/Oc6fKgNeLEl19+iTlz5qCoqAhBQUHIzs6Gl5cXli9fjokTJ1q5x5WPYqnz41VmefoUt+yV7//8Plu2i1EDE08BoWx+f2kxQ66Wl7qBS1WgG3MBwF3obrSSjK4/7/6JTjU7wVtcueO8isQJi65hale+EkJsQzsL0vT8OVR76y3HGNAC7MzHgFXA2hcLmdKOAgJhyYAWMHlAq8/VS3VVxKRJkzBmzBj89ddfePr0KYKCgtCpUyeutiwh9qY7YBUFB9sv3z/pK3ZAW78bN6AFnLPWamUw50pY77q9AQA3n91Ebd/a8BRZvl7C2iwa1P71119ITExEdnY2Lzdl9erVFneMEMLSLryo/q+37dwTHcoi4MD7/GMmLAwzdabVlUt1VZSPjw969+5d5jl+fn605Syxm/xjxyD08oJ3hw6Vn++vvSLEMEDjOGDY/wxOcbZaq7ZmrCKC9nh58XnBqQXYk7YHizouwqtNXrVVF81mdpLaF198gZ49e+Ls2bP44osvkJ6ejg0bNuDx48fW7B8hVY7uwgpV9ouNFnJy4PZiFXylLbzQpV3sxTAvcmpXmbUwrKpudWtrVHWG2AvDMMj6dAXuvf0vqPPzuXz/SqG7YLXvJ8CILcBfX5Rsk0uMKm3gasqEQ5PAJpAIJXiU/8ja3bIKs985PvvsMxw8eBDdunVDYGAgdu3ahd9++w0//fSTNftHSJVjdOFFbHf7LLwA+Fvg3jkO1O9q0Ra4VXWrW1uiBS/EXoqvXoMiIwMCDw82BQmVlHJQ2k6G2jz/LrPMToEipRvZdCTiWxrWoXaUeG32oPbJkyfo1q0bALZmLcMw6NevH8aMGWO1zhFSFfE2WsjMxO24PvbbaEH/jaP/SuCH0WybmVvg6qL8WUKcnEAAn27dIPT3g5uPjRcQ6S4+NbYtrkAINOrNfbhOl6ajvn99p6u16sgkIolD5yib/ZsNDQ3Fo0ePULNmTdSrVw+JiYkIDg6GUFi1yu4QYm1CiQQFp04jc+FCND521L4bLei/cayLYo837FHhLXCVGiXEQrHBccqfJcR5ebZqidobvrJ9CozuFSOxJzvAvX8WGLQOWNMSEAihmHkV7n61uIfU969vUf4oMc6Rc5TNHtROmjQJSUlJGDp0KGbNmoW4uDgAwPz5863WOUKqKp/OMWiwexcAB9hoIe8hO0OrHdACJm2Bq/+moR3Q0qyJ9VFOLbEHdX4+hN7eEAiFtk2B0b9i9MpnQPJGIGYG8POLBbQCIdz9ahnMIrq7uSNpdJLBU9KA1rZK+9Bg6w8TZr+bzJw5k/t69OjR6Nq1KwoKCtC8eXOrdIyQqkabVqCWyeDm5QU3f3/7bLSge4lP+gDwqwnsHM0/x4RKB/qldIQCIQ4MO0CzJjYwb948e3eBVEFPPlmGwrNnETp3Dnx79bLdC+lfMfq8DTAtGfhrfcmC1UHrARiZRVTbrluEZawcmL1KqVk0RaJSqZCUlIQHDx5g5MiRKCwsRGFhYZXYgIEQa9OtSZu9YQOCJkzgBrKVN6DVucSnLAI8A/n7qesuxji5qtzFGLw3GAaUP2sGtVqNbdu2ITk5Gfn5+by27777DgAwd+5ce3SNVGEauRw1l30CZWYmlJmZtn9BsScwYDWwNoK9/9ts9oO1QAh0nlnhfH5iPt2rbdrJCmPskaZg9qD2xo0bGDhwIIqKivD8+XOMHDkSR44cwY4dO7Bjxw5r9pGQKkNbk9ajRYvKf3H9S3wDPwfOrGUv8QFmVTrQR/mzFTd+/HgcOXIEffv2hb+/v727QwgA/odwUajh7n9WpywCDswquX8nEQpVMdy701WKylRajrKxrc71VcZW52YPaidPnoz33nsPU6dORWBgIAAgNjYWU6ZMsVrnCHF1umkFyidPwKjVUD55Ap8uXQzabU7/Et9nJbvyoOvskgGskUoHlD5gO3v27MH169cRWhkDB0IqQPsh3OYl5bQfuHWvGO17D+6egdxgSjuQopx92yotzhvMyuopa0bXmu8fZv+2U1JScPjwYQAl/6H9/PwMLo8RQkpnrCbt7V697VeTVihmZ2h1B7Tt3wHc9VKK9FIO9POn6A3GeqpXr17ufueEVAbeh/DMTHZjmOxsiIKCDNqtSvuBGyi5QjTyewAlgymqee14dOO/SCBCqHeozfNszX6HCQkJQUZGBho0aMAdu3nzJsLDw63SMUKqAoeqSatRszMi+97jHzdhURhAmyrYyqJFi/Duu+9i0aJFCAkJ4bXRYJdUJqMbw3TvYdsP4Wolu0vYS+/wrxDpxSMNo0GfX/rAXeBucOmb4k3lKiv+2zrP1uwEh0mTJmH48OHYt28f1Go1Dh06hDFjxmDq1KkmPX79+vWIjo6GRCLBkCFDeG15eXl444034Ofnh5CQECxZsqRS2wmpLNoBa37icYjDwiq/Jq3u9reyXDaH1oztb/VpN1Uwht5gKiY+Ph7bt29H06ZNERgYiMDAQAQEBHBpX4RUFu2H8GYpF9H42FFALEbjxGNolnLRsu1x9WOLqrjk2PmNQPpxoPApICoZyBorY6dhNGVeAie2o7vVuRBCDN492D79MPeB06dPh0gkwty5c6FWqzFjxgxMmTIFAwcONOnxNWvWxIIFC3D48GE8ePCA1zZt2jTk5ubi3r17yMrKQq9evVC3bl3Ex8dXSjshlc03lt2dr1Jr0upWOrh7Bqjdwaztb1UaldG0AloUZh3p6en27gKp4rRXjBilEvIHDyBp2BCioCDrfAjX31RBJWdnZ09/zh5TFACvbmTLd+nEIW3aI6U42Z8jbXBh9m8/JycHEydOxOTJkwEAmZmZ+OSTT9C4cWPIZOXP6AwbNgwAm5urO6iVyWTYuXMnTp8+jYCAAAQEBGDatGn49ttvER8fb/N2QiqD9k1ClZMLeeoNeHfqVLk1aY1tf/vjiy2uTdj+VjdYad9E6M3FNurWrct9nZ2djaAX+YuEVBbdSge3usWi7nffwrNtW8s/hOvHoUHrAUYDXNjMj00/vw3cSXxRvmsGzmSloKZPTdT0qekwg6mK0GgYCATsBTKh0MaL7CpBaT9rY8dt/T5R4fSD5ORk1K1bFzVq1EBYWBjOnDmDL7/8Ek2bNsXdu3dx9OhRizqUmpoKhUKBiIgI7lhERAQuX75cKe3GyOVy5OXl8W6EWEL7JiGqXg0PZr3P7sxTmTVptQsvtOkF66LYfwGTtr/VLgyL3BKJqO+juPypi/EXudu5N89BoVbY/ntxcTKZDBMmTICXlxdCQkLg5eWFiRMnorCw0N5dI1VISbnB5vBo0YL3Idxs+nFoTQtg33Sg03R+bLqTCMUHN4Hu8wCxFzrV6oR6/vXg7uZuNMY4+oBWWazC7xuuQlmsgkZTdXYD1M7o2vJ9osKD2g8++ACjRo3ClStXMHr0aLz66qv47rvvcPz4cezduxcvv/yyRR0qKCiAt7c3RDqfAAMCAriqCrZuN2bZsmXw9/fnbrVr17boeyQEKHmTCH7vPbj5+lZ+BxSF7CyILhO2v9XSJvwrNAr0+aUP2n/f3uAcR35zcRbvv/8+bt68iSNHjuDRo0c4evQobt26hQ8++MCqr1NUVIRGjRohICCAO0brE6ou3cGqKieHLTf4+DHqff89BGIx12bxh3CxJ7cbGAB2IKtRAq+sKTkmEMLdO5j7IK29td/a3qlijHZA+8vKZNxJeYpfViZXqYFtRWZ0zVXhed8rV67gzz//hEgkwtKlS/H5558jOTkZYWFhVumQj48PZDIZVCoVN/CUSqXwffGmb+t2Y+bOnYtZs0qKPufl5dHAllSYbloB9ybx5AmqvT7KoN0mdLe/BdgyXb++wz/HxEoH+jSMBirQAg1b2Lt3L65cuYJq1aoBYCvP/Pjjj2jdujW+/PJLq73Ohx9+iLp16yI7O5s7RusTqi6j5QZ7x1m/0oGyiI07Wg17sKUF9880ONUeO1RZi+6A9lkmm6L5LFOGX1YmY/jsKIg9RC6RimBvFZ6pVSgU3GDQ09MT/v7+VhvQAkDTpk0hFotx6dIl7lhKSgpat25dKe3GSCQS+Pn58W6EVJT2TeJGRCRuxXbnatLeiIhEanR7Gw9oXyzGUBYBahU7S3tylUmVDiiFwL4YhoFQyA/VQqHQ6OpvcyUnJ+P333/Hf/7zH+6Ydv1BQkICAgIC0KRJE279gSntxLnZrNKBLqWMH4dmXAUGrjWswtKgu+WvZWcCAXB0yw1uQKv1LFOGo1tuAGDAMEyVmbW1lQrP1CoUCqxdu5a7L5fLefcBtjJCeVQqFXfTaDQoLi6GUCiEl5cXRo4ciYULF2LHjh3IysrCunXruMtatm4nxFZ0a9Kqnj7FrR49K6cmrcGisP8DLn5v8va3tLGCfb3yyit49dVXsXz5ctStWxcZGRmYP3++yZVmyqNSqfDOO+/giy++gEZT8gstbf3BJ598YlK7MXK5HHKdwRCtT3BcQokEmuJipPXth8aJx2xTblDsBXR+cRW041RA4gtoVIZVWF5stODMGAboEd8Mz54U8ga2gWFe6Dm2OZTFahzdcgM94ptxs7bGFpSZusjM1RajmarCM7Uvv/wydu3axd1eeukl3v3du3eb9DwJCQnw9PTE0qVLsW/fPnh6eiIuLg4AW8PW398f4eHhiImJwbhx43iXs2zdTogtCCUSPPz3f3AjIhKi4ODKq0lrsCisHXBqDXD6M6DzzDK3v9XSXvZTMSooGAUtDKtEq1evRp06ddC5c2eEhoaia9euCA8Px6pVq6zy/CtXrkRkZCS6du3KO07rE4h0716oXqSj2Kzc4D97gbajgKQNgNANEEkAN7HRjRZ0a6GKBCKn+iAtFArw7LEMQ2ZEIjCMTQMLDPPCq/+JBqNhDPJs1WqNwYIyUxeZVeXFaALGmtewqoi8vDz4+/tDKpVSKgIpl3YGVl1QgJsvdQBEIjS/fIkrkVMpivPY4uXr2pUcm3kd8K9l0sMjt0Tyctnche5IHpNs7V46tIrOfFg7TjAMg6dPnyI4OJir0Wmp27dvo2fPnrh48SKqVauGxMREDBkyBM+fP8fFixcRFRXFSzk7fPgwXnvtNTx79qzcdmOMzdTWrl2bYqkDYjQa3HllIBQZGWjy1xm4+fvb5mrSN72AB+fYtIOot4yeklucC2+xNyRuhq/tSOW7yooRDMPgx0/OIaS+PzoMqo/EranoObY5N6DVnb1t/0o9tO1RmzuuHfxqNAx+1TlmLBdXP3e3tPOcSUViqdk7ihFCTKPNpXXz8QGEQlQfO9Y65XDKortDj0IGuImA3/RWy++dyubYluGvh38ZPe7qGytoNPz8NkeY+RAIBKhRo4bVBrQAcOrUKTx58gRNmjRBUFAQBg8ejLy8PAQFBSEvL4/WJ1RhBSdOQHHnDoReXoCbGwAbXE2S5QKPLgJCEdCol9FTGIbBpMOTEP9bPG4+u2nQ7kgD2rJixMObz5F9vwCpf2XCzU2IvhNaQSxxM8izbdm1Flp1qcUb6NZsHAiVQsMNaIGSRWa6r6XRMFCUshitqszY0qCWkEqgLd8ladoEQVOn2LYmLW9RmBIAw943Y1FYx1odATj3Zb+K0n9z0l4GrMwyPHXq1OG+DgwMRLVq1YzeLDVixAjcvn0bKSkpSElJwTfffANfX1+kpKSgY8eO3PoDqVSKW7duYd26dRg/fjwA/voEY+3EueVu2gwACBgxgv1AbgtpR6GYcRn4MMfgqpE2Ft3Lv4d0aTrS89IR7Blsm36UQ/9DrrH28mJEyuF7AIBmncLg7imCQCDg8my16QhCkQDdRjXB8R03uUEpd2x7armLzAQC4FgZi9Gs+HnYYbnuOxMhdmS0fFdmJhr88otBu1XpLwobsJrdncfMRWFCgRAHhh1wyl17TKV7yRAA79Jd9XBv3mVAoHLK8Gzfvp372tR1Cubw8vKCl1dJmTdtakN4eDgAdv3BhAkTEB4eDk9PT0ydOtVgfUJZ7cT5aGNT+Bfr8Wj2v1FtzJu2e7G0Y3Bv/Sov5gBsHEoanQQAqOtXF4eGH8K1nGsI9Ai0XV9KoR2wlraIS6NhoJKry4wRCpkKj249BwRA254leeRCoQBiDxGGz47iHn/ut3TegjKNisHxnTfR7Y2m5S4y6zm2OWLfNH5ej/hmYBi4/MCWcmrNQDm1xBT6NR4hFlu/xqMxyiJg5xslO4QB7IKwrrPZ2rTceTKju4VVpfxZ3Tcs/fw2oUiAiWtj8fv/ruJOylODxzaICEbfCa1KTQewVpzYsWMHXn/9dYPjO3fuxKhRo8x+XkdAsdQxVVq+/4H3gQGreDFHKBDij+F/INQ71OD0yv4gXVp+qkjiBpVcjcStqYh7pyV+31B6jOjzbksIBAIo5Wrcv56Lhu1qlPo62oGz9vn1c2p141NFjg19vx0kXmLKqSWEmKdSajyWRn+HHgBo/w5/QAsYHdAa40r5s7qXEXXfsDKuZkPszs9v42ZIXm/CXR7U0p35sLUJEyYYPT558mTbvzipkrTpUjY3wLCChxBChHqH2n33sNI2S7h09D434Lx9IQvnDqTzUgi0AsO80OOtZlAWq/H7hqtgNAzqRxhPn9DO2Pad0ApiDxHc3ITcDG6DiGB2IO3uxjumP3jV9u/nT89DIBRw5w2ZEYlz+9ORn1P2+glXQYNaQmxAKJHgycr/Y8t3BQXZtnyX7qIwtdpwhx7ApEVhO//Zab0+OSDdXFmVQs17w9K9xKf75nTtxENcPfkQw2dH8crwVMZq4ry8POTl5YFhGOTn53P38/LycPHiRYh1tiolxBK6H7KVWVncbofG2itEKSv7fhl0ywiqGBUvPaEyGNsswdgirnP7M3Dp6H2DGDHsgyho1IalukrLyxUKBRAIBFxM0R/oCoUC/jEji8wAdmB7ZNM/EHu4oe+EVrh5/gmuJD5E+uVsg7zg8nKFnRENagmxIm3w18hkyN24kZvxsFmNR/1FYepis3cKG9WcvZTtKovCKjIrC7AD2LP70zF0Vjvem1PbHrUhkrjxZk0qozxOQEAAAgMDIZPJuK+1t5deegnTpk2z6euTqkN3t8PbPXtZZ7dD3dhk7P6tP4GCLACGMccRaDQMuo1uWuYiLq1z+zNw6/wT3iwqAOxadcGiKgT6A13dY/qLzLS0V5EA9rx6rYPQOrYWmkSHmFXz1tk4xv8eQlyE9s2h6flzqPnpcsjT7vDKd1l9hpa3KGwVcGELLQqDYa6sbn1HAKUuvHh06xncxA0xfHaUwcIQgYcAfSe0qrQdetLT08EwDDp06ICzZ89yx4VCIYKDg+Hh4WHzPpCqQXe3Q+WTJ7jdq7dlux3qx6ZB69mrRdo8/84zge0jATBQzH9kNObYi3YB2O3zT5CZlochMyKx+7OLRhdxaQWGeaFxdAhEEnZ2FAB+33C11CoE2nMsYWyRmbGrSH5BnnjplQb4dRV7zrMnhQapC8+eFDp9LVstGtQSYmXa2Vl/vW1MrV7tQLtT2MNk9s1ibWRJW9fZFdopjO04MODXAUYXhTn6gLa0CgbSp0UQu7vh9/9dNZiVBYChs9ph1+oL/EUg7mxNTv0BrPbfylo9XLduXQDAE53LwITYgm5sEoeEWJ4upR+b1rRgj3eeyd6e3QUYNRDxJj5I/AABntXxTpt3UNu3pDKAPbbh1v0w3O31JshMy0NhnoL7kKt71aasgaRGw5Q6+LVmFQLdga3+h3Dd70c7oAVKat7uXmM4i6xdBCcUCszamtcRUPoBIRYylo+m3VpSv936L64G+v8f/1gVWxRmTq4soJ2VFRpNKzB22c9eXn31VRw/fpx3LDExESNGjLBTj4grYhQKMEolACulS4k9gVfWlNxv2APo9h92i+6A2kDX2ciOnY3Ehyew6/YuuAtLPjgr1IpK34Zbv9bs7s8uosOg+qhey6fcRVz6M5y6g01b5+Iby73V0s8LLq/m7a3zT6CSq506TYEGtYRYyFg+2q3uPSzLRyuN7kKL4jxAKDRrpzBnZq1cWd0VxcbeEBxFYmIiYmJieMdiYmJw7NgxO/WIuKK833/HrW6xUD+XWqdCi0IG7J9Zcr//SjYN6sRK4Md4oO0oBOydgW8yn+B9/7YIcfflTi3typCtrhiVVulg16oLUBa/WBdRziIufboDW1vn4pf2IVw/77asD/ntX6mHxtEhvIVtKoUaiqLK3XjGUjSoJcRCuuW7Gh36w3blu/QXWgjdzN4pTMvZFoXpz8pqA66rzMoaIxQKoXwxg6alVCpBJcaJNUn374c6Nxe5W7cCsDBdSikDTunFpotbgY5TS2LUuiiI7hzDS7ViMHbA1yZfTbIFY5UOgLJ34jIlbpgy+LUlYzPGj249g8hdyDvW/pV6BpvMcFvz/p/pW+46QjUFx34HI8SB6S6euPPqa1Dcvo1mKRdtU77L2MKLc1+7/KKwysiVdXQdO3bEJ598giVLlnDHPv30U3To0MGOvSKuRJWbi8LTZwAAfgP6W/6E986yA1igJBZ1+w9wPwkYtA5Y0xIygQAja4aiU70WmCUUwgb7K5ZLd1cwW+3EVdm5+MZeXz/vVhsLh8+OQuLWVLQfUJ+3sE2bpqAfX4HSF7uVtvNaZaOZWkLMpE07EEokkN+4AeGLnU5sUr5Lu/BCO8uxpgWbm3b6M3bhRQUWhakYFRQaBQb8OsDoSznSgJY3K+tiubKmWrVqFb7//ns0adIE/fr1Q5MmTbBp0yZ89tln9u4acRF5Bw8CajU8WrWCpH59855Ee2Wo6DlwYROgLARensSPTbU7AHvZUnSnPT2Q4S7GiTu/wV2ttvh7qChefJGr4e4pwrD3K78edWUoq+Zt3DstuYVtpqQpGNt4Rj8f2Z5pCjSoJcQC2koHfn36oNaKT3nluyymX6ic0RjuwGPCorDSipY72qKw8nJlj7lYrqypGjVqhOvXr2PJkiXo0aMHEhIScP36dTRu3NjeXSMuIm//AQCA3yvGP+iWSzc16n4S8MpnwPmN/FiklPFqaHcedxprBWF4L+sxBKdWV2hjBnOUFl+4/FG5GmLPyq9HXVnKqnmru/itrDQF7Za7Ygk708swDNRqjdF8ZHsNbGlQS0gF6A5WVTk5bKWDnBzUWvV/8H75Za7N4pQD3TcJhmEXXTAadq90XUYWhennzzp6nizg+hUMLOXl5YWRI0di9uzZGDFiBLy9vct/ECEmUEulkN++DQgE8OtnRuqBdrB6YiWw8w2gekPg57fZ+7q5/dqrTV1ngxm5DZ7VG6L763vQN2rKixQF2+XUlhVfgJJBmEqu5mrNutKA1hTGFrbpb807fHYUJF5iQAAoilQ49PU1CIWCMvORgcrNs3X8dztCHIg25YBRqcCo1Wylg9juELi5QSAScQXMLWKwqcJqQCgCLmwuWXihW8z85KoXKQfsm4J+/qxIIMK5MefsUvfRFLqzJlUpV7Yi/vrrLyQmJiI7O5u3QGz16tV27BVxdhq5HG7+/mh86iSKLl6EOKRGxZ9Evybtuij2eMMeBrn92vSo5JzrWH52OV5p8ArGlpIuZS2mxBeAnysqEAjslgNrT7ppCrqxVPcYwzBQyFQlcfiAV6k1eXuObQ5lsbpS82wd412NECfB23knMxO34/pYtvOOMQabKkSwbxCvbWbby1kUBvA3VdBAg8eFjx1qUZjuAg2VXM2bNTFnty8tV3wj+uKLLzB79mz06dMHBw8eRL9+/XDo0CEMHjzY3l0jTkQbm3RjlO4OiLpXmipM7Ml+0NZusgCw9/XikkKtgLvYC9Gh0fh50M/841aMQ+bEF2tvjOCsjC1s0x5jGPbnqR3QAuwWwQAMNqSw165llH5AiIm4N4XiYmSMfhPisDDrVTrQzycTuvELl6cdBdQK/iKwMhaF8frNaBxqUZh25qS0S1dVJVfWVJ999hkOHjyIXbt2wdPTE7t27cJPP/0EibV3qCMuTXdhqy7tugCLKIvYK0e6jKRGaa8iRW6J5G7tt7a3+oDW3PhSVWKKuUorfXZufwZunX/CpSnoD2gBfp6tWq2xWUoCDWoJMRH3puDhgTr/2wDASpUO9OvPquTsTbdwOQD8+g4AvYCrl4d2+elloy9hz0VhpS3QuH0hC+cOpPNW3WpVlVxZUzx58gTdunUDwNasZRgG/fr1w969e+3cM+JsGI2GvwPi48dg1GoodbZirvAiV70FYGXVywb4VVhUjKrUhazmsEZ8IaXT38xBKzDMC42jQ0rykSWGm+AApe9aZk00qCWkArSzGkJvb+tUOtBfZPHsLlCQBZz+3KxNFdoEtwHgOJsqlFWWC2A/4V86et/odpJVcVbWmNDQUDx69AgAUK9ePSQmJuLatWsQCil8k7LxFrY+fQqGYfg7IPaOA5RK3O7V2/wdEEWeQKdpQNfZwIgtgH8tNjWq62ybLwDTZWxXMIov1lXe9r9ubkIIBIJSB7/Gdi2z9sCWcmoJKYNu/pkyM5OtdpCdDVFQkEF+mln082c/b1Oh/FlH21ShopslAOwbj5efe5XLlTXVpEmTkJSUhKFDh2LWrFmIi4sDAMyfP9/OPSOOzmBhq1oNZeZjbl2AKicHt2K7W7Yu4M4x4Mw6oP//AZoX9WZNTI2yFm3cKe3SOMUX6zG2mYP+z1P3HO2HDGO7lmlTEqw5U+6QH/XHjh0Ld3d3+Pj4cLe//vqLa1cqlZg6dSoCAwNRrVo1TJs2DSqdvCBL2wnR4s1qxPVhqx1072H+rAZgvB7jAJ1V7BXMn3WUTRXMLctlcOmKZk14Zs6ciaFDhwIARo8ejTt37uDy5cv46KOP7Nsx4vAMtvB2c4PAXcy1i6pXt2xdAMMAx1ewMevs14BnQElbKTO01r6KpI07104+NO3SOMUXi5my/a/uwLZRuxpoP6B+hbciNqtv1nka65s8eTIKCgq4W8eOHbm2hIQEnDp1CtevX8e1a9dw8uRJfPLJJ1ZrJ0R72U5TXFzypnDkMCAWo3HiMTRLuWhe6oFu/qxGw9af1aiAA7P455mQP1tq3+2QP2tss4SKLtDQXrqiNxxDKpUKp0+fxg8//IDatWujTp06KCwstHe3iIPTDlAff7rC6MJWwMx1AdoP5hmn2A/a05LZdIMy7PhnB2RKGc69eQ4X4y9yt3NvnjNIozKVbtw5vv1mqakGFF+sz5S1DWXtWqZlbIcyi/plnaepXN999x0WLFiAsLAwhIWFYf78+fj222+t1k6I7qKwfyIikfnRRxDXqGHZrIZ+/uzzDECWY3b+rCNgF39prLJZAjHuxo0baN68OUaOHIlx48YBAI4cOYLx48db5fnlcjneeecd1K9fH76+vmjWrBm+++47rj0vLw9vvPEG/Pz8EBISgiVLlvAeX147sS9GrUb+wYMADAewZq0L0P1g/vwu8OpG4NJOwL30D93Xc65j5bmV6P5DdzzIf2DQbs5VpPJyaCm+OIaydi2zRdUJh82p3bJlC7Zs2YKwsDD861//wsyZMyEUCvHs2TM8ePAAERER3LkRERG4d+8epFIpNBqNRe3+/v4GfZHL5ZDr/NHn5eXZ4lsmDka7KCzglQEIXbgQgBmzGkpZyQyrQf3ZSIvyZ+29qYL2TcXdU2R0VhaoupslWNPkyZPx3nvvcSlTABAbG4spU6ZY5flVKhXCwsJw+PBhNGjQAElJSejXrx/Cw8MRFxeHadOmITc3F/fu3UNWVhZ69eqFunXrIj4+HgDKbSf2pcrKgtDXF8rHj7kBrG6dWt1/jdKNYfobw/Rfye4elnaUbdfZBEY3h79F9Ra4EH+BO24N5eXQUnxxPKbk41pKwDDWmvS1ngsXLqB27dqoVq0azp07hxEjRmDmzJmYOXMm7t+/jzp16uDp06cICgoCADx9+hQ1atTA/fv3wTCMRe3h4eEG/fnoo4+wePFig+NSqRR+fn42/EmQyqQb7FXZ2bjVvYfRBRQmL6RQFvEHp9p90as3Ata0LDlvdho7y6G/T7qRdIPILZHcpgpCgRB/DP8Dod6hBufZYlFYaYvAajYOxEuv1MfuNRcMiplr6xVW5o4yjiIvLw/+/v4Wx4lq1aohOzsbQqEQ1apVQ25uLgAgICAAz58/t1Jv+YYNG4ZWrVphzpw5CAwMxOnTpxEdHQ0AWLlyJfbv34/jx49DJpOV2V4ea/2MSPmUWVkQ16jgjmH6MUwlZ/P9f4wvGcgC7IfzUdsNcv51P4QD7AduY4tYzaFWayAvVBmNOzRD69h030tM+R1VJE44ZPpBu3btEBwcDDc3N7z88suYM2cOfvjhBwCAj48PAHZAqaX92tfX1+J2Y+bOnQupVMrd7t+/b5XvkzgG7aU33UVht7r34LbA1V8UZtqAVj/V4B5w/FMgLALYO41/rgn5s8ZqOVbmpgpllebS5soOmUmbJdhCSEgIMjIyeMdu3rxp9AO4NRQXF+Ps2bNo06YNUlNToVAoDK5sXb7M1kMur12fXC5HXl4e70YqR8UHtPrlBjOAHaPYdCndjWEAo7uHAZbXpNWtca3v0pH7L+JOJG2i4GRsWWvcIQe1+nTrMQYGBiI8PBwpKSncsZSUFNSuXRv+/v4WtxsjkUjg5+fHuxHXIZRIkPpSB/5K4cN/VnxRmG5VA22qgTY/9rPWQOSbwF/rzcqfLS2loDIWhRlbBHasjEVgVX2zBGubNGkShg8fjn379kGtVuPQoUMYM2YMpk6dWv6DK4hhGIwfPx6NGzfGsGHDUFBQAG9vb4h00m4CAgKQn58PAOW261u2bBn8/f25W+3ata3+PZAShUlnkfHmm3i+a3fFH6wfwz5vyx7vNN1wYxgju4dZSveDtG4tU+1AtyC3GNdOPIQ0q4hyaAnHIQe1P/74I/Ly8sAwDM6fP4/ly5dj+PDhXPvbb7+NpUuX4vHjx3j8+DE++eQT3qIJS9tJ1cMoFBBKJMj+5hs8/eoriENCKrYoTH9XMG2qwaB1Jef89qIYedfZ7KW6MoqU628n2f779gAqb1MF7RuHWl3xRWA0K2td06dPxzvvvIO5c+dCrVZjxowZiI+Px8CBA636OgzDYPLkyUhNTcXu3bshFArh4+MDmUzGK3kolUq5q1rlteujq16VK++331B0Phmy5PPmPYHYE3jls5L7/VcCZ9YafjC/kwicWsN9ME97nmZRv3U/SOsW6dfGo983XEV0v3qIea0RQhv609UgwnHIhWLr16/Hu+++C5VKhVq1amHy5Ml4//33ufaFCxciJycHzZs3BwC8+eabmDdvntXaievjbarw5Am7qUJODoJ0PtyYvChMf/HEoHXAuW+AmBnsIgqttKNsCkLX2RWqPwsAGmjwuPBxpWyqoH1DSdyairh3WlZ4EZhAIKBi5laUk5ODiRMnYvLkyQCAzMxMfPLJJ2jcuDFkMiM1j83AMAymTJmCpKQkHDlyhLtq1bRpU4jFYly6dAlRUVEA2CtbrVu3Nqldn0QigcSSzUqIyRiVCvmHDgEA/Pr1M+9JlEXA/hkl93+bzS5sFQiBzjO5ha0KVTHcPQO50xoGNAQAsxaxGqtq8CxThktH7/OK9z97Uohhs6N4eZkUd4hDLhRzdLS4wXnpDmZ5O+0olYBYDIGbGwTu7mh88kTZi8L0F3Ipi9i8M+3iiWnJbJmbEyvZmYxB69lLdGlHX8zMGl8lrEt3URgAuAvdkTwm2Xo/jBdKWwBW2i4wAC0CM4WlcSI5ORnDhg3DgwcPEBQUhF27duHSpUv4z3/+g9jYWMybNw8vv/yyVfo6ZcoUnDp1CkePHkV1vTqm8fHxyM7Oxo4dO7jqBkuWLOGqG5TXXhaKpbbDMAyKr179//bOPL6Jcuvjv5lMkqYtpQWRtahAASlX6GVfu8miiJRN0aIgLiAUBYXiRYXrfRFFRIQrKLj7Coq48VoRN/atlaUXAUGgbELLLaV0oU2Tycz7xzSTTDJpp0lKE3q+n08/ZE4mMycLZ35znvOcByW//Iom09Pcb9LdYpjKtv1mvW2SdLP+3dOwjHwHhrAmbudTW9nQm0msoihi06rDyMnOl22xA1ui57Bb8e2bB2lSWD2kJnGCRK0XUCAObo737CWLVgCw5uXh5KDB2peK1NLVwD4b2HU/lVZdAFRbdbmKWo7hcPDhg379LOxZkc2fHEPyxNshCqKbgHUVts4XEgA1msVan/A1TiQmJqJnz56YMGEC3nvvPXz++edo2bIlVq9ejbi4OL/5efbsWdx6660wGo2K2tjx48fjnXfeQXFxMSZPnoyMjAyYTCakpaVh3rx58n7VPV8VFEtrh2o7tajFMNfYJIpARbG0BG6/GYAxXNpPb9IUr7y9CXfN1LIcgynLE7BptVLo2mnTtQmGTu4MhtK0Nyw1iRMBWX5AELWJvX72WPceaDjiXjR/8UXt9bOupQbDlwP73vdrqYGd2u4/63zxKMovh96gw6bVh2nt9ADh999/x88//wyO4/Dyyy9j2bJl2L9/P5o3b+7X89xyyy2oKrcRERGBzz77zOvnieuPvZNLh30q7bPcyqWcRpEAxyhS3iHgl38Cd78O2CekVsYutXjlireTWHNPXkXjluEYPbubLGx/23gaSQ93ROGla26ZWvtqVBSDCIBELXEDo5at4AsKINpssObmoqNTwK+2ftY+NOe6gMKbnaVSA+euBvaLxM6lAMspSw1YDtVVv9Zm/ay91EAQRPAVNkVW1j4BTO3C4bx2OmVlrw8Wi0XOnJpMJjRs2NDvgpa4cbEvHiOKojKL6RrDlnaS7G2TlJna5l2AwS8DFw4Ad4ytdX/tsenMocvY+PbvuP+FHvKNdJekaHBGnULoUukBoQaJWuKGhTUacbxXb3TI3OtWP3ty8BBF/azrSjsK7J0NBjwLMDppksQ9Sx0tbjZWdjMAvF4VzBl7/1m1oTtfBa23E8CcLxz1MSNSbuGhY1mUmK1oEKIHLwgINdRu+LRYLFi+fLm8XVFRodgGpM4IBAG4TH7Ny5Nu3p0WXFDEN71Juvm2C1oAGLkKgDJjb2ncFoamnaAFX0aWnMug4h9oD4OJQ1ikEQzDKG6kmRCmVlejIoIfErXEDY1otcr9ZwEpU3siIdGtfhZwKjmoalnIESsAQ7iyT2MtlBqwjO/d9qqaABb1fajqcJ7UlqvtDXnhcBWmNkH6wKuzCaKId7bl4MPdp1FcziPCxOGRvrdhakJbGPW6WvO3d+/e+Oabb+Ttnj17KrYZhiFRS8jYSw4UN+/Jd0o37xynLEWwlkujSXbaJgFcCLDzTamrQfkVwNQIBg/1s87ximVYn0aWXGtoCy9dw6hZ3RS9re030vZlVmnEiPAEiVrihsBjqYHVCtuVK2Arh225xo2rrp91zsrqTVJmtt/TjqE6axmw74OALzVwnQAm2ER8/bqj1OC3jDMAoDqcxxkkoRaIFw5/CdMu0Q3x6aO98N6O01XaPpjYHdnnr2L5rydlH4rLeSz79QQAYHJ8m1rL2G7durVWjkvcWDjHPrtwtebm4eRgD5Nf7Tfqcgz7NyCKsIg2GBIrW1vqW8rH96W1oEFnqHJJVE/tu75+fb/H0oL6PGJEVA+JWuKGQFOpgdGIDpl7lfWzVWVlh70BfP8M0LKbo9xg42xgzIfS/gFUauApKxuIE8ACQZimJbbD6u05+Pdmz7ZGYQb0btMYM9Zlq76PD3efxrTEdv7/gAiiBjhPCjv7+BOoOHoU7Xft9Hzzrg8F+s+QHvdJk0aeRBsMnNHv8cr55to5vtjjFcPArQwKkITt5k+OYejkzj58MkR9hEQtEXR4alejtdRArp9lhaqzssu7SpmMvk8B6ydIJzm1WepyMHy5VFsL1HmpQXVtuWprApirOLXwNhg4XcAL00ZhBvRrdxOeXf+fKm1Nwo0oKLWguFx9lndxOY8SsxWNw2kxAaJusU8Ki16+DJZTfwJwmvzq2n9WsDlWNzy9A+g0HHYp4M+uBmplBaNndwNn1IGvsElCd0JHJKSqxybqakB4Q0Auk0sQVcEajTjes5fCZs3NlUsN7LiVGljLZBHMsjYpu7p9sbRoQuEZ4LNxwK5lUlbWjtqykIDU9WD7YnlZSIuWlXKchu4OPnxQ/vtt/G+w2Cya3799CVtBEBUXjjOHL0Nv0KlOAMvKOI2Rz/xdXtrWeQKYTscq6tfKLTwsvICC0gpYeAHlFt7NZrba8M62HHR/+Wfct2ovSit4rN4hbXdb8AvGrtoNXhDlfbot+AU7T+Zj5daTWPbrCVko2kVoVTa7MP1o9xn5PdlF6Md7qrapCVOttvzSCjQONyDCpP7dRpg4NAjRa/7eCMIfCBUV8jwAwDEpjC8oAGsyIaRzF8XNO3YsdSzfDQB//B+QvRZ4706gbWK15/Nmae6qVgWzd13Jyc7HV6/tB8MyGDWrm2psCqTSJyI4oEwtEdB4zMoKgvrECE+lBtXVyi7r4p6VBRzLQgLKcoOdSx3LROL6lRp4m5VVmwAGPYsK3lbjTKpr1nTJ2A74cNfp65ox9UaY2u1abVeuWbDr5GVM6HOr4r3ZeaTvbeAFAQbKDRDXEU8rIp5ISFROCiu6APa7p4CTvwAQpdEkziTFLgDoOVlaUAFwz+bCt3p/tbKC2IEt0XlAS9X62TFzuruVQbnGJl86jtRF9xKibqBoTAQM9uyDcxZCNSublyeVGpjN6LDvN3TMPoiYrVsAvR4xW7egY/ZBdMjc65StMDtqZT9/ECg6X7Os7PoJQI/H5XEwC6sDEue6lRvYh+7sf4B7lqOmpQb+zMruyCnA4s0nMOSJzvgg6ywsNqHGmVTXrGldZUy12pyFaU1tAPDqD8cxse+teCq5nXzcCBOHp5NjMDWhLV0YieuKaLUCkGKgPfa1+/UXZezb9xuEKxek0aSTv0g33/1nSqI1ZwsQ2hiYfgDoM81x4EpB6xyvWLAY8e0IVT+quwkXRSBhfEc5BrEcg/hx7bHtsz9V62d//egP6EOkMih9CAerS2zq/vLPWL/vL5RWWBUjRmUW91KJqkaVqjqW2oiU2vHVzuFpP+L6QxGZqBPUMrCuq+DYm4Z7ysoe79UbjF4P1mhUTozY+iqwfTHYtknAsDfA7vugMiu7r7LZeOeaZWV3LAFCIqSWN9CYlfVDV4MKqw2wCl5lZRmuDUY8+3ds//Q4Eh7qiB1nCvDYJ1KG+JM9Z7EiNc6rTKqr6KyrjKlWGyAJ0y8m9wbDAB/tPoPich5vbTmJTx/tBZZh5Ay0mi2/1IyMQ7l4YmAbpCXGKDI9tdnOi7hxUIt11S5j6+G1jF4P66VLODlkKGI2/wqucWPob77ZEftObwcatQH7779Jq4C1TQLi0x2tuopzpYmue992TBYD8Gfhn7ilwS2a41V1mc+yIgsO/nwWKTPi8O2bBzWtCgYwYBgGZiuPd7blyB1GAKBJeAjuuaM5Vm/Pkf8PR5g4PDuoA0Z3awmDToeyCh4hBp1ipEmtFl/tWGojUq7Hr+sWf4Q2SNQStY4WAWtHFARHAGcYWC9dUmRlAacJYJVB3Y5catBrCnA+Ezjxk5StAICbYqTWNUtjpW3XrKy9Ndf6CUDKO47ZCR4mgVU3oaKqUgObjYVFFNwmVHEsC07HgLdJ2Vm+woYNSw547GDgabGEEc/+HQs2HQMA/OuJzrDYBDzjJEzDQzivh/hdRWcwC1ObIGByfBtMS2xXpc35gm2fFEYlB4RW1GJdlcvYur7WQ1eXEwmJYIxGdNz3myP2NbtDmshqn8x192JY+ApHq664VACAZeCzCqHaPqo9AKCcL4eJU8Y6V0FbUZn5/HD3aZgtAkIMrELUiaKI7Z8fx+n/XIbJqbtKl6RoMHpWtY0g9Cx4QURpmQXhIXp8uPu04pzP3dUBH+0+o4gJruJ0ydguOPRXUbXdS9SOpTbpVE38emrxl3EoF3d1boY2TcK9KnHQWh5BZRTVQ58G4TVaMxBuAbyyfstZwAKQBKwo1iwrW34V+PoJCHcvlYfd2HPblQK2bRIQmwJ8nupw3mNW9g1FVhbQ1m8W8NzVwMILqnf5ZouA21s0wKeP9kJWzhX0aBWJXWv/RFJlX9kNSw5oysqKOkdWNunhjli8+QQ+zTwHAMg+fxVvj+/mt0yqq+gMZmHqXH1VlY0ELOEr9u4ElnPnwDZoAC4qSrbZ8bari1xmZS4Du2eF8kZ93/swJM9THVlytgFS/FLL1DpTbnFkUcf3ao1/jeiMeRsOy6KubZNwcDoGoQ2NYFgGO0uvYdPmE5j7RGcs3PgHwowcpiUoa/sZPYsVW0/hw92n0TzChPcmdFfEJrURI0ApTrXW4mut43c9vn0/NZHctkk4vpjcGx/tPoOP95ypNnvrKky1Zn6dbyYoQ+wZErWEKtUKVtYG1hjqEKu8GRAFVZubgNWHehawNhusuXnuAfyXn8A1uVn2T85MHP8BuOcNsG92BhgWbJsE4P5PpdpZO3cvdmk27jkraxk4CwZOORzoXG5Q01KDq+VlSFi8A2UVAt556O/yXb79gnAsrxiZOQXo2SoKGUsPoii/HIYaZGXvmRmHhT86srJXyyx4b6cjy3GxyOzXTCrgLk5f/eE41k/pU61YJWFK1BfcFoERRQjl5TC0bi3ZLhdIHQvy88E1aQLAMX8gZsd2+Tj2kSpbYSHYZs0AuHR1KTwL9q3u0utvGyjFPoZxTGIdOFs6n8rIkput8obc+Sbc/n/O3leWY1l8uPs0xvdqjfTk9vhx9WHMebA9MJRF5ukCtAgzYtfaPxH/QHsITY2Y9PMRAFLJk8UmoG2TcFn8Dp3cGRVWASu3npJLDTjWPTZpEadab9S1jkjVpMWfWubXU/bWVcBqXdzF+WaiunOotVJ0bbdYG1nkQCFwPSM8ojVD6mazlkEQdA6bTgREQdXmUbD27IUOWZnAtteA+HRHtsFmleq04tOdBKyU7bTm5dVIwDKco42LHMCb3Az8Zx1waz8IAiNlJorzwcaOkDKwoiD93bVIqoF1FrC/vQv0mwEAEAc8i3JBD9O4tWB2vAExJAI8Y0BxaQUahOg9NiB3vQC4ZmVHfDsCmamZ6PjCD2AZBssf6IrfL0hDYQ/2lASsxSZgxrpsxQUheeLtuCXC5Jes7M9/XMKWWQl+E6s1EafhRg5PDKherJIwJeoDbrFOFMGaTO4lBHcOUoxAeezqMmiweleX758F7O0AT22GhTc7Sg0A1d7Z1dH7lV9w5ZpVrim9r3srsLyIzZ8cQ+LDHbHg3lgktG2CjKUHHcvapndDn+hG2FB5w1146RrumRmH8cUl+DTznCxonTOaJr0OW2YlKEoN1GKTFnGq9UZd64iUVpHsKcurlr11FbBVLe7Stkk4ukQ3BMeyuFJaoVqSoXYO19rgJuEhWD+lDz7afdpjLXJVYrUm2eFAEb8kamubGghJnwVnVTZrObDzTbCJcx22ihJg97/dbXtWAAnPyYK1ZOs28Pu+QdRz76DN/22Q3ld8Oqx5uXIGgjU1AOLT5ayEZgHr9P/CIWCbygIWDVs5Anin4cDnqWBztkpZ2WmZwL5VsoAV7/03mN/ecxew8XPAHPkWYv+Z+Pf281j+60k83Kc15tw1C0bOCD2cxVTV9bJVZWVzi0owtlsrvDTCUcf6YE+HgHW9INhrZX/96A+vsrLH8ophMjg+wEvFFX4XqzWqM+VYxTYJU6K+IScSnOcAXL6ME8l3us8LSEpGh717wJpMsk20WiGUl1e9gIxZel4oLQR7ehvQbhDE4W+CyXgWBlNUtZNYq6O4nIdBx6JJeAhGxbWEYBHwTeVNd+NWYRicFI2vnSastoiJgmAVsWHpAUWrroylB5E+Mw4A8GnmObeMZvMIk2rm0x6vAODjPWdw5ZoFe3MKMLHvrbIgdBWYWm/U1Y6lVfyq7ac1e6smYD291lmszliXrVqSoXYOwL02WK3dopZJdyVmK0L0OrnzjfNvQ0sG2pNwVssi+1v8kqitTWoiJLXaXASnIkNahc2S8SrEzI9hTJzr2G/v27i67gNEJs51yq42ABKekxYzqBSsDe4cAtw5BPzlAuibNas+A+FJwLKO1KYsYG9uBpQVQKwoARN1qyxgxU7Dwax7CMLdyx31YruXVilg39hyDtMHpsNwbINCwH45pQ86dh6JEC4ETyW3x1PJ7WU/anoB0DE6DPlqCAyMAZmpWQADXL1mQc+Fv+KBHtGY7UHAerogaM3KJjzUEbvOFshZ2S/2/YXoRqHXRaySOCXqE952JgCU8wf+6BqHm6Y+iSZPPCEtbhISIo1w7VoObu5fUoZWJXt7vHcf9fkD5iKgrADsyj5AmyTw930Iw4v5AAAGAFLXAah6FUM9q4dYuZa2s80qWOVFFVJ7tsb8e2ORV1QO1qm2n+UY9Lj7NkVplL1Vl9oy3IW5Zdi19k/864nO+PmPS24ZTTXhCACn8ktx36q9mHt3R0xPGiTHpr5tbwIDKa6piVNXMVxV7HM+llrcVDu+8znsMVdr9lZr5hdwF6tqJRlaaoO11gpL/imFLsey2DknUVN22NcOE/6uCyZRW1tYy6Q2KruXA05C8sqSWUDOZjRyEZfYs1KxH//TUnC/r5ZsroKzcjhfMJvBhigzpGpZU6G8HIaRLwEjX5JquUQRgrkcbHw6IuPTZVu1Q2aiiHabfpDFqjU3FyeH3uWSWbiMEwlJ6gK2aQuI1nIwX0wEUtc5MrCsHsz3z7oL2JO/gN34FMqHLoUp+0OpLRfDQOw/E29uPYen4udAd1QSsK9vPotV23KQ0KEJYmsgYKvKyrpeAMa2G4vnej2HVzNfhY7RKdY0Xz6uK/rf2tijgFW7IACes7KjZnfDzjMF2JtzBXOf6IxV209hfO9b8HRyDIlVgqhF1DoTaJkAaz2fA310GzmGN3tuFqLGSZNT5VjXdzpwPkuysaxyAtilXJy4cwhiftkErkkzhz+VmVwLZ4ShURvghUsAAAOkmDay3Ug81+s5LM5cjDm95yjei/PIkr0uVhSlNl2uNpZlcPVaOZ5NisHP7x3B4MdjsWmVI14JvCjdhD/QXr4Jl20eluHu92B7zNtwGJEmg5uoq2pxk1P5pTj0VxH6tG2sGEVzjWvO4vRUfikmffwbFo26A9OTYqqJfe7HUoubruJXLeaKorQQiz2jqVXAqr1/NSGqNUOspd2iVqHboWkDrzPQavsB6h0m1OqHfYVEbS0hCDqwiXOBxLngL12UxWWjuasAwCEuyyVxCSdxKZSXgxs+Dxg+D3zBZc+CMySk+qypJ1uIhuxqUrK7YE2609EfsXlzKQNhMgHmYuCbKeAeWCsLWJiLga8eVwhYZudS4ORPEIrzKwVsOdjdbwE5W8H+MBPlQ16H6T8fS8GfYSH2n4F3tp7DU/HpsIlWGBLnggEwc1AHAIDlb6Ng0Bkwe0hHzB7SUf78qxKwelbvJmQ9CdhFmYuQdy0PmQ9mwWrm8eOqI5g1MV3RM7ZxqzAkJ0XL22oCVu2CYMe1r2y/B9vj4MUi9G7bGAPb34zCMgse7d+GxCpB+BmPHQdcOhNo6eCij24D63//Ky9Zaxe0zkvWspwOGL4MwpUL6JCVKS2SYAsBKkrBNb2lsvyqGSzlhTCYomCzWBGzexdsFisMhhCFiIXIYGS7kUiLfRo/rjqCJ1PTIAii8v1Vthb8LXUfSkstUneVhzti6daTMFsFPJMYI9u2nMpH31scN+ZR34e69ZU9sv0CQiP0irZcF08UgtVL8cue1XW+Mf+/QxfBsaxqVlItu1pV9k6LOOUFAQaOrTb2aavtVz++62unJrQFAHy4+3SNVid0zfx6Kklw/Zy01AZrrRVWE7q+ZKBr0mHCzoe7T2NaYjvV52oKidpaQtNEAa02TYLTswi112BVaUtIAuP0a+AaN1YK1m+ngRv3v2AYRhoKe60dkH7SkYHY+7a0Wg2gtJ3e6hCwpYVge08FwIAxhWP19pN4vG80LAOfgSFJmtxgAoDkF6WG34n/UAhYHUyyWLWLUOfWNM42TwL2/vb3Y27vuXg181U32yuZr7gJ2GcengXOqIPFzOPrxfvRIiYKvEXAt0s9D8l5ErBqFwR7n0aRY2HQMxg6uTN4m4gurSNJrBJELaPaccBJmDr3wXbr4OJpAqzakrWl/wVrCAd4G/DdU2BPbXZ0axnzIbAxHUhdJ2dlDaYoLMpchCc7pWHXB8fQL7UNwjlOIWKTJ96OpzvPxIYl/5EnZ42e3Q3jOozD58c/l8sK7mt/H6xmXjGxa0Z6N9icSgsatwpDotONOQD8lnEGADBqdjd5xCmqeSg6DmyJX0/mK9tycSx2nb6Me2bGYdfaPxU35vueH6Sa0QQcpQYrHoxzy65qHY6u7R7SWo5v1OsU4lftvarNbXDN/JaarQgP0WsqyXA9h5Z2i1qFrtbssC8dJpwpLudRYrYqbia8ha6ItYT97rxj9kHE/PojmJAQWUhKy7purpHNVXCyBoNDcK6b4MF2k2QLMQHblwCL2ni2hYRIQ17bFgOvRANwGvYSbcC4/1XYkH5SkYGwDJgJPJ/rbnvhEtiIypY14VGwGEKBxH+A0ZvwxMB2YDgjDJyUgYj7JA49P+2JHv/bQ26jtXDvQgiigEV7FwGQ6sVGx4zG3tS9GBkz0qMNkMTqvvH7MLb9WADA2PZj8VTnmfhx1RGkxT4NQRAxrsM42TY9dgYOXTokL0Wbk52P/2w+D77Chq8X70dRfrm01OPa46oC1r4kJCAJ2MM7LmD07G6K5Wq7JEWDM+owenY3tOnaBKNnd4M+hEOIXgc9x4JhGOg5NqBbphBEMOK2DLe1crREp5OF6bGucTiZfCcYloVoscqv5QsKAI5T7jdoMBhBkBMO9uW6mdBQxGzd7FiytqICCL8ZMIQCxgaw3LscaDcI5mkHgXvelOJr6jpFVlYQRDzZKQ0Zb/yOnOx8ZLzxO3iLDU93nomMN36HKcIA3iLIghaQali/WrwfM/72DPal7kdmaib2pUrbX6lN7HKplXVdchuQhO3JfZfkeHXPzDi89uufOH6pFKKelZe1Neh16NOuMUyhegyd3BmmUD26tI5EuFEvZ03DjBymJrTF08kxiiWn77mjOW67KUzezxCk8S/UwFX5Xp0F7L7nB2H/C3di3/ODMLZ7K/lzahRuhE0Q8Ejf29yOby/J4AXB4zne2nISTwxsI9te/eE4Hul3m7zMt3OtsB215cUBxxLh05Ok12pdhlzrEubORJg4NAjR1/gzV4MR7WOuhGaKi4vRsGFDFBUVISIiQnUfW0UZbEIFDKYoqW4JIkQw4EUrDDpDwNtsFitYPQfBykNn0KPXml74JeUnhIdGQLDy6Lu+P1LapmBOrzl4Pet1pPdKR49Pe2BUu1FuNteaLzVb3CdxGB0zWs6izu09Fwv3LkRa7NPYtSZHylSEheLVrFe8soWFmnCtrBwZb/wuZxzGzOkOQRDlLESPe25FF5cyginLE7Bp9WHkZEsTMmIHtkTPYbfKSz/acX2tPQPLGXXgK2xyRkMfwoFlGbdaNuLGQ0ucuFGwWq2YOXMm1qxZA4ZhkJqaiqVLl4LjqhYnvn5GgqUMIvRyrGIYGxhRgOBk41kBRs4oxzmBt0FnkC6g1qIicA0aSHHOKC2xwpeUQhcWChEMTvTsCZHn0XD0aDR7fi744hLoIxsq9rOVFINrGCn54xRLWZZB7zW9MaLtCMzpNQeLMhfhkb89gmZhzdz+/8tZ2TU5iJ8QA52oUwjR2IEt0fOe2/DtUmmFQde45Ez8g+0R070ptn56XK6Lte+nFtPk46vENfsKhdtyLmNo5+byAgq+TOwps/DgAqD10/XA2/daYbVhZeWCFNWVZLiewyYIEAGFzbVPrSCKeNvp+GqTvQBpYtiKB+PkTgdqHRHsk8c+3nOmypXX3n24m2LFN2eeTo6psqa2JnGi3mZqrVYr0tLSEBUVhUaNGmH69OngefXUuDcIXAgMpii8lvkarGYem1YfgdXMg2P0PtsslTZLLdkWZS7CtQoLNq06jGsVFgiCiBFtR0AUOGxadRg8D7zU+yVMi30KP646gimdpkEQRIxsN1LVJtd8xaZ5tLlmUW02AWmxT3vMVChtz7jZZjjZjm27BL7CJgtaAHIZgetELudshVoW9sj2C8j6/gxSZv5dUwZWp2OhD+HkjIZdwLKstM45CVriRmDBggXYuXMnjh49iiNHjmDHjh1YuHBhrZ6zgq8AOBN4HnJcsrE6iC42PWvAkqwlcizleSDvlUXIfXkhbAInxdcyK3JfWYRLi5fApjPKMTcmKwvtDxxAo2fnYNPqIxAMoRAEEYIgyvvZ9GEQBBGvZ72uiNeCIOLetvfKMXFa7FO42dQUizIXofRaGTatOozSa2Ww2QQ5K3vm8GWYjEZFHLJ3GLCPEHkaHQKkm+uY7k3x1eL9OHngv/jt+9NIerijvJ/zxC4tI0ujZ3eDzqjDnZ2aobDMgvShHTE5vo1PM9WdM5rBmpXVirfv1V7O4JzR9fS5u57DZODcbOEhesV2iMvx+7drgqkJ7arNomvNQKsdzzWLbD/H08kxmJrQ1m+/g3qbqZ0/fz42bNiAH374AQBw1113YdSoUZg3b161r9Vy11Bu4WHkdCi9VuaWHbTyVnnYKBhtPe65FXc4zex37MNjw5Lsam08b8O3Sw46Mprp3WCzCbLNNesJKDMVNbGpZSZqmq1Qy8KOmdMdoiBSBpbwSH3K1EZHR2Pp0qUYM2YMAGD9+vWYNWsWzp49W+XrvP2MBEsZwJlw7VoZvlPE126V8SXb7f+q2v9fLTatcc0bmz9jndqxgKrjl9aRJaJ+oDWz7O1+allkLdlrytRq4IMPPsALL7yA5s2bo3nz5nj++efx/vvv++34Rk5q+aSWHXSugwo2W+zAlug8oKVb821pn2xNNrt4tdtsVlG2qWVMXTMVNbGpZTVqmq1Qy8JyBh1lYAkCQGFhIf766y907dpVtnXt2hXnzp1DUVGRYt+KigoUFxcr/rxBhB5WMy8LWsAeX0RZ0DpsgltNaU1sWuNaTW2ealmPbL+ArIzTGPmMYzTo4olCcAYWo5xi08UThQDHYOSsbmj395vRY5jnutgTTnWxzvFL68gSUT/Qmln2dj+1LLK/M/X1UtTWJAgD3gVihoHfhFmg2OTtz/6stXNqFaFabYC6WLVfJLRO5FIL9iRgCQIoLS0FAERGRso2++OSkhLFvq+88goaNmwo/0VHR3t1TlbPBX18raqM4OKJQuj0rCIOQcdg95kruGdmnDxpa8+ZK9AZWAx+PBaCICpKDexENQ9FTPem4Iw6t/hFN+bEjUa9FLU1CcKAd4FYFFFtLVOw2fwtOH0VoVpt1WVbqQ6WILwnPDwcABQJAfvjBg0aKPb9xz/+gaKiIvnv/PnzXp1TsPJBH1+BqmtZGb2oiEMGvQ69XToM9GnXGAa9DgzDyHFL7Vj2uOYavyimETca9VLU1iQIA94FYpZlwBrhN2EWKDZ/C05fRahWW1XZVhKwBOE9UVFRaNWqFbKzs2VbdnY2oqOj0bBhQ8W+RqMRERERij9vYGCFPoTD8Gf+5hZLRjzbVVPM0bqfv1+rFutYI+MWr/Q6vVscCjVwVbb+s8cz12NRHCPqDWI9pVWrVuKXX34pb69fv16Mjo7W9NqioiIRgFhUVFTtvjabIJqvWcSNbx8Szdcsos0m3BA2nrfV+jntn58gCPK2rzaCuF7UJE4EOy+++KIYFxcn5ubmirm5uWJcXJz40ksvVfs6Xz4js9XsFjcsvEU1lljMpcr9KspU96uwVoglxRXixrcPiSXFFWKF2SzyFrNivwqr+jlKzWaxqMgsbnz7kFhUZBb3nMwXyyqsiv3KLXyNYp23UOwjbiRqEifqbfeDefPmISMjAxs3bgQA3H333UhJSfFb9wNn1GbE3wi263FOgghW6lP3A6vVihkzZmDt2rUAgPHjxwdMn1q7jdeFgGMZ8IIInc0MC2OEjmHA6RjwNhF85cxsPcvKNmvlzGwt8arMwnv9WoIgPFOTOFFvRa23QRioXxcrgiC8g+JE9dBnRBBEddQkTty4XY+rQa/XY8WKFVixYkVdu0IQBEEQBEH4SL2cKEYQBEEQBEHcWJCoJQiCIAiCIIIeErUEQRAEQRBE0FNva2p9wT63ztslHgmCuPGxx4d6OhdXExRLCYKojprEUhK1XmBfdczbJR4Jgqg/lJSUuC1CQEhQLCUIQitaYimVH3hBixYtcP78eVy9ehVFRUVo3769vNqY/bHzv/YVyM6fP69YmayqP+djannO1eZpW83Xdu3a1dg/f/tYlX+B8BkG+ncc6P7Vx9/g1atXcf78ebRo0eK6xqdgwjWW1sffSW35p+Yr+UexKhi/45rEUsrUegHLsmjVqpW8rdPp5N5p9seu/wKo0bKQzq/T8pyrzdO2J19r6p+/fazOv7r+DAP9Ow50/9T8crXV1D9/+1gbv0HK0FaNaywF6ufvpD7FgkD3T80vV1tN/fO3j/XxN6g1llKm1g9MmzbN7bHrv74cU8tzrjZP22q+Pv7443XuY1X+BcJnGOjfcaD758mfG/03SNSc+vg7qU+xIND98+QP/QZr7p+aX7UdS+vtimLXk0BfNSfQ/QMC30fyzzcC3T8gOHy80QmG7yDQfST/fCPQ/QMC38fa9I8ytdcBo9GI+fPnw2g01rUrqgS6f0Dg+0j++Uag+wcEh483OsHwHQS6j+SfbwS6f0Dg+1ib/lGmliAIgiAIggh6KFNLEARBEARBBD0kagmCIAiCIIigh0QtQRAEQRAEEfSQqA0A3n33XfTt2xcJCQnIycmpa3cUWK1W9OvXD5GRkfjyyy/r2h039uzZgz59+iA+Ph7Dhg3D1atX69olBZcuXULfvn0RHx+P/v374/Dhw3Xtkkd27twJhmFw+fLlunbFjbCwMCQkJCAhIQGbNm2qa3fcyMrKwuDBg5GYmIjFixfXtTv1FoqlvkHx1D9QLPUen2OpSNQpBQUFYs+ePUWr1SpmZWWJY8eOrWuXFAiCIF68eFGcP3++uH79+rp2x40LFy6I165dE0VRFN9++21xwYIFdeyREp7nRZvNJoqiKG7ZskVMTU2tY488M2rUKLF79+5ifn5+XbviRmxsbF274BGz2Szefffd8u+QqBsolvoOxVP/QLHUO/wRSylTW8dkZWUhISEBHMehR48eOH78eF27pIBhGDRv3ryu3fBIixYtEBoaCgAwGAzguMBaJE+n04Flpf9mV69eRZcuXerYI3UyMjLQv39/hIWF1bUrqpw/fx4DBw5EamoqCgoK6todBXv37oXJZMKYMWMwePBgHDp0qK5dqpdQLPUdiqe+Q7HUe/wRS0nU+oG33noL3bt3h9FoREpKiuI5q9WKtLQ0REVFoVGjRpg+fTp4npefv3LlCqKiouRtQRACyr/rgT/8KygowMqVK/Hoo48GnH9Hjx5F3759MX36dMTHx/vdP199FAQBK1euxJNPPlkrvvnqHwCcOnUK27dvR3JyMp5//vmA8u/ixYs4evQo1q9fj2XLlmHq1Kl+96++QLE0MHysz/GUYmnd+eePWEqi1g+0aNECL7zwguryeQsWLMDOnTtx9OhRHDlyBDt27MDChQvl56OiohR1S/Z1pQPFv+uBr/6VlZVh7NixWL58OW666aaA869Tp07YvXs3MjIyMH36dL/756uPa9euxb333ouQkJBa8c1X/wDI3+u4ceNw8ODBgPIvKioK/fr1Q1hYGG6//XYUFRX53b/6AsXSuvexvsdTiqV1559fYqkfyyHqPfPnzxdHjBihsLVq1UpRP/XFF1+IrVu3lrcLCgrE3r17izzPi/v37xfHjBkTUP45v7a268C88c9qtYrDhw8Xv/7661r1zVv/zGaz/PjMmTNiQkJCwPmYnp4uJicni0OGDBGjoqLEQYMGBZR/paWlIs/zoiiK4saNG2u1js4b/65cuSIOGDBAtNlsYm5urti9e/da86++QLHUdyieXn//KJb65p8/YmlgFczcYBQWFuKvv/5C165dZVvXrl1x7tw5FBUVoWHDhmjUqBEmTJiAAQMGQK/X4/333w8o/wDgvvvuw759+xAeHo6srCy89tprAePfZ599hu3bt6O4uBjLli3DsGHDMHv27IDx78CBA3juuefAsixEUcQbb7xxXXyriY+LFi2Sn0tISMDatWsDyr9jx47hscceQ0REBIxGI957772A8i8qKgoTJ05EfHw8rFYrlixZct38qy9QLL0+PlI89c0/iqW++eePWEqithYpLS0FAERGRso2++OSkhI50E2ZMgVTpky53u5p9u+LL7643q4B0ObfQw89hIceeqgOvNPmX58+fbBt27Y68E5C63dsZ+vWrdfJMwkt/nXr1q1Whsm0oPXzmzRpEiZNmnS93as3UCz1HYqnvkGx1DeuVyylmtpaJDw8HAAUdSH2xw0aNKgTn5wh/3wj0P0DAt9H8o/QQqB/D4HuHxD4PpJ/vkH+SZCorUWioqLQqlUrZGdny7bs7GxER0e73dXVBeSfbwS6f0Dg+0j+EVoI9O8h0P0DAt9H8s83yD8JErV+gOd5mM1m8DwPQRBgNpthsVgAAI888ghefvll5OXlIS8vDwsXLsRjjz1G/pF/9cpH8o/QQqB/D4HuXzD4SP6Rf7Xqn5cT2wgn5s+fLwJQ/MXHx4uiKIoWi0WcOnWqGBkZKUZGRoppaWmi1Wol/8i/euUj+UdoIdC/h0D3Lxh8JP/Iv9r0jxFFUfSfRCYIgiAIgiCI6w+VHxAEQRAEQRBBD4lagiAIgiAIIughUUsQBEEQBEEEPSRqCYIgCIIgiKCHRC1BEARBEAQR9JCoJQiCIAiCIIIeErUEQRAEQRBE0EOiliAIgiAIggh6SNQSBEEQBEEQQQ+JWqLesHDhQjzwwAN17QZBEERQQ7GUCFS4unaAIPxFeHi4/Li8vBwcx0Gv1wMABgwYgB9++KGuXCMIgggaKJYSwQojiqJY104QhL9JSEhASkoKZsyYUdeuEARBBC0US4lggsoPiHrDP//5T6SkpMjbDMPgrbfeQqdOnRAWFoaHHnoIhYWFuP/++xEREYG4uDgcO3ZM3r+0tBRpaWlo3bo1br75Zjz88MMoKiry2p+JEydi0qRJSElJQXh4OO644w7s3LlTfn7NmjWIiYlBgwYN0LJlS/zP//yP1+ciCILwFxRLiUCFRC1Rr9mwYQN27tyJEydO4KeffkJ8fDymT5+OK1euoGvXrkhPT5f3nTRpEq5cuYJDhw7h9OnTsFqtSEtL8+n8a9euxaOPPoqrV69i6tSpuPfee3H16lVcu3YNEydOxPvvv4+SkhIcOXIEQ4cO9fXtEgRB1AoUS4lAgEQtUa+ZNWsWGjVqhBYtWiA+Ph6xsbHo378/OI7D2LFjceDAAQBAfn4+vvrqK6xYsQKRkZEICwvDv/71L6xbtw42m83r8yclJWH48OHgOA5TpkxB06ZNkZGRAQDQ6/X4448/UFxcjMjISPTo0cMv75kgCMLfUCwlAgEStUS9pmnTpvLj0NBQt+3S0lIAwJkzZyAIAm677TZERkbKgZFlWeTl5Xl9/ltuucVt+8KFCwgLC8N3332HDRs2IDo6Gv3798eWLVu8Pg9BEERtQrGUCASo+wFBaCA6Ohosy+LixYsIDQ3123HPnj2r2D537hxatmwJAEhOTkZycjKsVitWrlyJlJQUFBYWgmXpXpQgiOCEYilRm9A3ShAaaNasGVJSUpCWlobLly8DAPLy8vDNN9/4dNzNmzfj+++/B8/zePfdd5Gbm4thw4bh0qVL+Oabb1BSUgKO4xAREQGOo3tQgiCCG4qlRG1CopYgNPLRRx/JQ2UREREYMGAA9u/f79MxH3zwQbz77ruIjIzE8uXLsWHDBkRFRUEQBCxbtgzR0dFo2LAhVqxYgS+//JIyCwRBBD0US4nagvrUEkQdMXHiRERGRuLNN9+sa1cIgiCCFoqlhB26VSEIgiAIgiCCHhK1BOEja9asQXh4uNsfy7JgWVb1uTVr1nh1roULF6oez3lZS4IgiGCEYinhK1R+QBAEQRAEQQQ9lKklCIIgCIIggh4StQRBEARBEETQQ6KWIAiCIAiCCHpI1BIEQRAEQRBBD4lagiAIgiAIIughUUsQBEEQBEEEPSRqCYIgCIIgiKCHRC1BEARBEAQR9JCoJQiCIAiCIIKe/wc+0sWOpTjadwAAAABJRU5ErkJggg==",
0249 "text/plain": [
0250 "<Figure size 700x400 with 2 Axes>"
0251 ]
0252 },
0253 "metadata": {},
0254 "output_type": "display_data"
0255 }
0256 ],
0257 "source": [
0258 "fig, (ax1, ax2) = plt.subplots(1, 2,\n",
0259 " figsize=(7, 4),\n",
0260 " sharex=True)\n",
0261 "\n",
0262 "ax1.set_xscale('log')\n",
0263 "\n",
0264 "sns.lineplot(data=basic_reaction_count,\n",
0265 " x='Time__ps_',\n",
0266 " y='Reaction_Count',\n",
0267 " hue='Reaction_Name',\n",
0268 " markers=True, style='Reaction_Name',\n",
0269 " ax=ax1,\n",
0270 " legend=True,)\n",
0271 "ax1.legend(ncols=1, fontsize='small', loc='lower left', bbox_to_anchor=(0, 1))\n",
0272 "\n",
0273 "sns.lineplot(data=basic_reaction_count,\n",
0274 " x='Time__ps_',\n",
0275 " y='Reaction_Count_Differential',\n",
0276 " hue='Reaction_Name',\n",
0277 " markers=True, style='Reaction_Name',\n",
0278 " ax=ax2,\n",
0279 " legend=True)\n",
0280 "ax2.legend(ncols=1, fontsize='small', loc='lower left', bbox_to_anchor=(0, 1))\n",
0281 "\n",
0282 "fig.tight_layout()"
0283 ]
0284 }
0285 ],
0286 "metadata": {
0287 "kernelspec": {
0288 "display_name": "standard",
0289 "language": "python",
0290 "name": "python3"
0291 },
0292 "language_info": {
0293 "codemirror_mode": {
0294 "name": "ipython",
0295 "version": 3
0296 },
0297 "file_extension": ".py",
0298 "mimetype": "text/x-python",
0299 "name": "python",
0300 "nbconvert_exporter": "python",
0301 "pygments_lexer": "ipython3",
0302 "version": "3.12.9"
0303 }
0304 },
0305 "nbformat": 4,
0306 "nbformat_minor": 2
0307 }