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drc-ners-nlp/notebooks/analysis.ipynb
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2025-09-21 16:23:44 +02:00

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{
"cells": [
{
"cell_type": "code",
"id": "initial_id",
"metadata": {
"collapsed": true,
"ExecuteTime": {
"end_time": "2025-09-21T12:06:07.309139Z",
"start_time": "2025-09-21T12:06:07.086638Z"
}
},
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import sys\n",
"import os\n",
"\n",
"sys.path.append(os.path.abspath(\"..\"))\n",
"from core.utils.data_loader import DataLoader\n",
"from core.config.pipeline_config import PipelineConfig"
],
"outputs": [],
"execution_count": 1
},
{
"cell_type": "code",
"id": "74a8a262bc55d976",
"metadata": {
"ExecuteTime": {
"end_time": "2025-09-21T12:06:14.601682Z",
"start_time": "2025-09-21T12:06:14.598078Z"
}
},
"source": [
"config = PipelineConfig(\n",
" paths={\n",
" \"root_dir\": \"../data\",\n",
" \"data_dir\": \"../data/dataset\",\n",
" \"models_dir\": \"../models\",\n",
" \"outputs_dir\": \"../data/processed\",\n",
" \"logs_dir\": \"../logs\",\n",
" \"configs_dir\": \"../configs\",\n",
" \"checkpoints_dir\": \"../checkpoints\"\n",
" }\n",
")\n",
"\n",
"loader = DataLoader(config)"
],
"outputs": [],
"execution_count": 2
},
{
"metadata": {
"ExecuteTime": {
"end_time": "2025-09-21T12:07:02.954766Z",
"start_time": "2025-09-21T12:06:29.300866Z"
}
},
"cell_type": "code",
"source": "df = loader.load_csv_complete(config.paths.data_dir / \"names_featured.csv\")",
"id": "171054a786856d23",
"outputs": [],
"execution_count": 3
},
{
"cell_type": "code",
"id": "295eda175081129c",
"metadata": {
"ExecuteTime": {
"end_time": "2025-09-21T12:08:17.955798Z",
"start_time": "2025-09-21T12:08:17.165693Z"
}
},
"source": [
"df.describe().T"
],
"outputs": [
{
"data": {
"text/plain": [
" count mean std min 25% 50% 75% max\n",
"words 7901815.0 2.872912 0.466004 1.0 3.0 3.0 3.0 11.0\n",
"length 7901815.0 20.161653 3.796664 0.0 18.0 21.0 23.0 60.0\n",
"ner_tagged 6150395.0 0.998319 0.04097 0.0 1.0 1.0 1.0 1.0\n",
"annotated 6150395.0 0.998319 0.04097 0.0 1.0 1.0 1.0 1.0"
],
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>count</th>\n",
" <th>mean</th>\n",
" <th>std</th>\n",
" <th>min</th>\n",
" <th>25%</th>\n",
" <th>50%</th>\n",
" <th>75%</th>\n",
" <th>max</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>words</th>\n",
" <td>7901815.0</td>\n",
" <td>2.872912</td>\n",
" <td>0.466004</td>\n",
" <td>1.0</td>\n",
" <td>3.0</td>\n",
" <td>3.0</td>\n",
" <td>3.0</td>\n",
" <td>11.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>length</th>\n",
" <td>7901815.0</td>\n",
" <td>20.161653</td>\n",
" <td>3.796664</td>\n",
" <td>0.0</td>\n",
" <td>18.0</td>\n",
" <td>21.0</td>\n",
" <td>23.0</td>\n",
" <td>60.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ner_tagged</th>\n",
" <td>6150395.0</td>\n",
" <td>0.998319</td>\n",
" <td>0.04097</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>annotated</th>\n",
" <td>6150395.0</td>\n",
" <td>0.998319</td>\n",
" <td>0.04097</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" <td>1.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"execution_count": 6
},
{
"cell_type": "code",
"id": "c6f41484d947a77a",
"metadata": {
"ExecuteTime": {
"end_time": "2025-09-21T12:08:26.820519Z",
"start_time": "2025-09-21T12:08:26.426014Z"
}
},
"source": [
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import numpy as np\n",
"from scipy.interpolate import make_interp_spline\n",
"\n",
"# Step 1: Count frequencies\n",
"word_counts = df[\"words\"].value_counts().sort_index()\n",
"x = word_counts.index.values # distinct word counts\n",
"y = word_counts.values # their frequencies\n",
"\n",
"# Step 2: Create smoother X values (interpolation)\n",
"x_smooth = np.linspace(x.min(), x.max(), 300)\n",
"spline = make_interp_spline(x, y, k=3) # cubic spline\n",
"y_smooth = spline(x_smooth)\n",
"\n",
"# Step 3: Plot\n",
"plt.figure(figsize=(10, 6))\n",
"plt.plot(x_smooth, y_smooth, color='blue', label='Smoothed Curve')\n",
"plt.scatter(x, y, color='black', zorder=5, label='Actual Counts')\n",
"plt.title(\"Smoothed Word Count Distribution\")\n",
"plt.xlabel(\"Number of Words in Name\")\n",
"plt.ylabel(\"Frequency\")\n",
"plt.grid(True)\n",
"plt.legend()\n",
"plt.show()\n"
],
"outputs": [
{
"data": {
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
],
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"
},
"metadata": {},
"output_type": "display_data",
"jetTransient": {
"display_id": null
}
}
],
"execution_count": 7
},
{
"cell_type": "code",
"execution_count": 7,
"id": "2533054dd18b57c7",
"metadata": {
"ExecuteTime": {
"end_time": "2025-07-08T16:02:00.928164Z",
"start_time": "2025-07-08T16:02:00.666031Z"
}
},
"outputs": [
{
"data": {
"image/png": 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DOu1WrVpVrrNAdnZ2enmY+u3btzFq1Cio1Wrt7IlFefDgAbKzs3W2NW3aFNWrV9cZ6/rKBQA3btzQmW0zMzMT3333HTp27AhHR0dtBgA6X9+srCysW7euUH8lzVbS/8dERE/itP5ERGU0ffp0PHjwAEOHDkWrVq2Qm5uLQ4cOYePGjXB1ddXey1VeFhYWWLhwISZMmIDevXtj1KhR2unAXV1dMWPGDG3bzz77DC+88AI8PDwQGBiondbf3t5e55ld7u7uAID33nsPI0eOhIWFBQYNGqQt5Eri008/RXR0NLp3747JkyfDzc0Nt2/fxokTJ7Bnzx7cvn0bgDQhxNKlSzFu3DgcP34cTk5O+P7772Fra1viY2kuOY2NjYWVlZU2v0aPHj20Z2QKFmwdOnTA+PHjsWrVKty5cwe9e/fGkSNHsG7dOgwZMgTe3t7FHru8+Zs2bYr169djxIgRaN26NcaNG4e2bdtqx8vmzZu1z00rTd5JkyZhypQpGDZsGPr164dTp05h165d2sc0lIW7uztWrFiBjz76CM2aNUPdunXRp0+fZ77n0qVL+OGHHyCEQGZmJk6dOoXNmzfj/v37WLJkCQYMGPDM9/bt2xcvvfQS3NzcYG5uji1btiA9PR0jR44sV66nadGiBQIDA3H06FHUq1cP3377LdLT07FmzRptm/79+6Nhw4YIDAzEW2+9BaVSiW+//RZ16tRBYmJimb5mpfl/TESkQ67pKYmIjN2OHTvExIkTRatWrUS1atWEpaWlaNasmZg+fbpIT0/XaYsipj/XTHH+5JTmmunAN2/erLN948aNolOnTsLKykrUrFlTjBkzRiQnJxfKtWfPHtGzZ09hY2MjVCqVGDRokDh37lyhdh9++KFo0KCBMDMz05mqvKisQhSeLl4IIdLT00VQUJBwcXERFhYWwtHRUfTt21esWrVKp93169fFf/7zH2Fraytq164tgoODxc6dO0s0rb+G5nEHPXr0KLQvMjJSABDVq1cvNL17Xl6emDdvnmjcuLGwsLAQLi4uYtasWSI7O7vQ5+fn51fksfWR/9KlS2Ly5MnC1dVVWFpaiurVq4uePXuKr776SidLSfOq1Wrx9ttvi9q1awtbW1vh6+sr/vrrr6dO63/06FGd9z857bwQQqSlpQk/Pz9RvXp1AaDYKf4BaD/MzMyEg4OD6NSpkwgODhZnz54t1P7Jaf3//vtvERQUJFq1aiXs7OyEvb296N69u84jFJ6V62mfW8F9T07r7+fnJ3bt2iXat28vrKysRKtWrQr9XxNCiOPHj4vu3bsLS0tL0bBhQ7FkyZIi+3xatqK+vkKU7P/x+PHjhZ2dXaFMT3vcABFVbQohZLyrnYiIiIiIiJ6K97AREREREREZKBZsREREREREBooFGxERERERkYFiwUZERERERGSgWLAREREREREZKBZsREREREREBooPzq5E+fn5uHHjBqpXrw6FQiF3HCIiIiIikokQAvfu3UP9+vVhZvb082gs2CrRjRs34OLiIncMIiIiIiIyEElJSXB2dn7qfhZslah69eoApH8UlUpV7v7y8vKwe/du9O/fHxYWFuXuj0wXxxLpC8cS6QvHEukLxxLpQ0WMo8zMTLi4uGhrhKdhwVaJNJdBqlQqvRVstra2UKlU/AZE5cKxRPrCsUT6wrFE+sKxRPpQkeOouFulOOkIERERERGRgWLBRkREREREZKBYsBERERERERko3sNGRERERFWGWq1GXl6e9nVeXh7Mzc2RnZ0NtVotYzIyZmUZR0qlEubm5uV+nBcLNiIiIiKqEu7fv4/k5GQIIbTbhBBwdHREUlISn4NLZVbWcWRrawsnJydYWlqW+dgs2IiIiIjI6KnVaiQnJ8PW1hZ16tTR/lKdn5+P+/fvo1q1as98ODHRs5R2HAkhkJubi1u3biEhIQHNmzcv8/hjwUZERERERi8vLw9CCNSpUwc2Njba7fn5+cjNzYW1tTULNiqzsowjGxsbWFhY4Pr169r3lgVHLRERERFVGbzskQyJPv5IwIKNiIiIiIjIQLFgIyIiIiIiMlAs2IiIiIiIqMQUCgW2bt2q9369vLwQEhKi936NnawFm6urKxQKRaGPoKAgAEB2djaCgoJQq1YtVKtWDcOGDUN6erpOH4mJifDz84OtrS3q1q2Lt956C48ePdJpExMTg86dO8PKygrNmjXD2rVrC2VZtmwZXF1dYW1tje7du+PIkSM6+0uShYiIiIioNG7duoWpU6eiYcOGsLKygqOjI3x9fXHw4EG5o2Hu3Lno2LGj3DF05ObmYtGiRejQoQNsbW1Ru3Zt9OzZE2vWrNF5/l5VImvBdvToUaSmpmo/oqKiAADDhw8HAMyYMQO//vorNm/ejP379+PGjRvw9/fXvl+tVsPPzw+5ubk4dOgQ1q1bh7Vr12L27NnaNgkJCfDz84O3tzfi4+MREhKCSZMmYdeuXdo2GzduRGhoKObMmYMTJ06gQ4cO8PX1xc2bN7VtistCRERERFRaw4YNw8mTJ7Fu3TpcunQJv/zyC7y8vPDPP//IHc3g5ObmwtfXF59++ileffVVHDp0CEeOHEFQUBC++uornD17tsx9G3SxJwxIcHCwaNq0qcjPzxd37twRFhYWYvPmzdr958+fFwBEXFycEEKI7du3CzMzM5GWlqZts2LFCqFSqUROTo4QQoiZM2eKNm3a6BxnxIgRwtfXV/u6W7duIigoSPtarVaL+vXriwULFgghRImylMTdu3cFAHH37t0Sv+dZcnNzxdatW0Vubq5e+iPTxbFE+sKxRPrCsUSl9fDhQ3Hu3Dnx8OFDIYQQ+flC3L8vRGamWiQnZ4jMTLW4f19Uykd+fskyZ2RkCAAiJibmme0AiJUrVwo/Pz9hY2MjWrVqJQ4dOiQuX74sevfuLWxtbYWHh4f466+/dN63fPly0aRJE2FhYSFatGghvvvuO539169fF//5z3+EnZ2dqF69uhg+fLj29+o1a9YIADofa9as0eb55ptvxJAhQ4SNjY1o1qyZ+L//+z+dvk+fPi0GDBgg7OzsRN26dcXYsWPFrVu3tPvv378vXn75ZWFnZyccHR3F559/Lnr37i2Cg4Of+nVYuHChMDMzEydOnCi0Lzc3V9y/f18IIUSjRo3EF198obO/Q4cOYs6cOTpf0+XLl4tBgwYJW1tb8cEHH4gGDRqI5cuX67zvxIkTQqFQiKtXr4qMjAzxzz//iMDAQFG7dm1RvXp14e3tLeLj45+a+clxWVBJawODeQ5bbm4ufvjhB4SGhkKhUOD48ePIy8uDj4+Ptk2rVq3QsGFDxMXF4bnnnkNcXBzatWuHevXqadv4+vpi6tSpOHv2LDp16oS4uDidPjRtNNfH5ubm4vjx45g1a5Z2v5mZGXx8fBAXFwcAJcpSlJycHOTk5GhfZ2ZmApAqeH1U8Zo+DPovAmQUOJZIQ61W4/fff0dqaiqcnJzQq1cvKJXKEr+fY4n0hWOJSkvzHLb8/Hzk5+cjKwtQqcwgXVDmUKlZMjPzYWdXfDtbW1tUq1YNW7ZsQbdu3WBlZfXUth9++CE+//xzfP7553jnnXcwevRoNGnSBG+//TYaNmyISZMmISgoCNu3bwcAbNmyBcHBwfjiiy/Qt29fbNu2DRMmTED9+vXh7e2N/Px8DB48GNWqVUN0dDQePXqE6dOnY8SIEdi3bx+GDx+O06dPY9euXdi9ezcAwN7eHvn5+QCAefPm4dNPP8XChQuxdOlSjBkzBgkJCahZsybu3LmDPn36IDAwEIsXL8bDhw/xzjvv4KWXXsKePXsAAG+++Sb279+PLVu2oG7dunjvvfe0V7ppjvGkH3/8EX379i2yjVKphI2NjXa7ZiwU9OS2uXPn4pNPPsGSJUtgbm6OBw8eYP369fjvf/+rbfPDDz+gZ8+eaNiwIe7du4eXXnoJNjY22LZtG+zt7bFq1Sr07dsXFy5cQM2aNQtlzs/PhxACeXl5hX6elvT7m8EUbFu3bsWdO3fwyiuvAADS0tJgaWkJBwcHnXb16tVDWlqatk3BYk2zX7PvWW0yMzPx8OFDZGRkQK1WF9nmwoULJc5SlAULFmDevHmFtu/evRu2trZPfV9paS4lJSovjiXTFhcXh//97386l+HUqlULkyZNgoeHR6n64lgifeFYopIyNzeHo6Mj7t+/j9zcXGRlAZVdqGlkZmZCrS5Z22XLliE4OBhff/012rdvj549e8Lf3x9t27bVaTdq1CgMGDAAABAUFIT+/fvjjTfe0H5/njRpEqZNm6Y9QbBo0SKMHj0aY8aMAQAEBgbi999/x8KFC+Hu7o7o6GicPn0a8fHxcHZ2BgAsXboUHh4e2vkfLCwsoFAotL+3FjzpMHLkSPj5+QEA3n77bXz11VeIiYmBj48PlixZgnbt2uHtt9/W5g8LC0Pbtm1x4sQJODo64ttvv8XXX3+Nrl27AgC++uortGnTBrm5udrP4UmXL1+Gh4fHU/dr5OfnIzs7W6edWq1GTk6OzrZhw4Zh2LBh2teDBw/GkiVLcPbsWbi4uCA/Px8//fQT3njjDdy7dw9xcXE4cuQILl++rC2uP/jgA2zZsgU//PCDto4pKDc3Fw8fPsSBAwcKzbPx4MGDZ34eGgZTsK1evRovvPAC6tevL3cUvZk1axZCQ0O1rzMzM+Hi4oL+/ftDpVKVu/+8vDxERUWhX79+sLCwKHd/ZLo4lkxXXh5w5gzw229bsXDhIkhXvTx2+/ZtLFq0CD/99BOGDh1agv44lkg/OJaotLKzs5GUlIRq1arB2toa1atLZ7qEELh37x6qV69eaQ/VtrVVoaSHGjt2LAICAhAbG4vDhw9j586d+PLLL7Fq1SqdAqBLly7a3x+bNGkCAOjatat2m6urK7KzswEAKpUKly9fxpQpU3R+5+zduze+/PJLqFQqJCYmwsXFBW5ubtr93bp1g4ODAxITE+Hl5QUrKysolcoif28tmEelUkGlUuH+/ftQqVS4cOECYmNjtYVgQenp6VAqlcjNzYWXl5dOHy1btoSlpeVTf08WQjxzv4aZmRmsra112imVSlhZWels8/Dw0Hnds2dPtG7dGr/99hvefvttREdH49atW3j55ZdRvXp1nDlzBllZWWjatKnO8R4+fIgbN24UmSs7Oxs2NjZ4/vnnYW1trbOvuMJTwyAKtuvXr2PPnj2IjIzUbnN0dERubi7u3Lmjc2YrPT0djo6O2jZPzuaombmxYJsnZ3NMT0+HSqWCjY0NlEollEplkW0K9lFclqJYWVkVeWrbwsJCrz989N0fmS6OJdOydy8QFARcvKgGEIonizVA+uGoUCjw5ptvYtiwYSW+PJJjifSFY4lKSq1WQ6FQwMzMDGZm0rx61avj30skgWrVFNrthsbW1ha+vr7w9fXF7NmzMWnSJMybNw8TJ07UtrGystLm13wvLmobAO22gl8LANqC1czMTGf9SZr3PatNwWM/2XdWVhYGDRqEhQsXFnqfk5MT/vrrryLzafp52r9TixYtcPHixWL/HQt+/hp5eXmF+q5evXqhvsaMGYMNGzZg1qxZ+OmnnzBgwADUqVPn38tss+Dk5ISYmJhCx3RwcHjq11KhUBT5vayk39sMYtSuWbMGdevW1Z5WBQB3d3dYWFhg79692m0XL15EYmKi9tSvh4cHTp8+rTObY1RUFFQqlfavBR4eHjp9aNpo+rC0tIS7u7tOm/z8fOzdu1fbpiRZiIiMxaNHwMSJgI8PcPEiYGsbCyD5qe2FEEhKSkJsbGzlhSQiMmFubm7Ikq7pLLPWrVsXejTAwYMHtb8jt27dGklJSUhKStLuP3fuHO7cuaNtY2lpCXVJr+0soHPnzjh79ixcXV3RrFkznQ87Ozs0bdoUFhYWOHz4sPY9GRkZuHTp0jP7HT16NPbs2YOTJ08W2peXl6f9mtWpUwepqanafZmZmUhISChR9tGjR+PMmTM4fvw4IiIitJeUAkCHDh2QlpYGc3PzQp9X7dq1S9R/WchesOXn52PNmjUYP348zM0fn/Czt7dHYGAgQkNDER0djePHj2PChAnw8PDQTvLRv39/uLm54eWXX8apU6ewa9cuvP/++wgKCtKe2ZoyZQquXr2KmTNn4sKFC1i+fDk2bdqEGTNmaI8VGhqKb775BuvWrcP58+cxdepUZGVlYcKECSXOQkRkLN5+G1izBjAzA6ZNA8LDU4t/E6Dzw4+IiMrvn3/+QZ8+ffDDDz/gzz//REJCAjZv3oxFixZh8ODB5er7rbfewtq1a7FixQpcvnwZS5YsQWRkJN58800AgI+PD9q1a4cxY8bgxIkTOHLkCMaNG4fevXujS5cuAKTLLBMSEhAfH4+///5bZzK9ZwkKCsLt27cxatQoHD16FFeuXMGuXbswYcIEqNVqVKtWDYGBgXjrrbewb98+nDlzBq+88kqxZ85CQkLQs2dP9O3bF8uWLcOpU6dw9epVbNq0Cc899xwuX74MAOjTpw++//57xMbG4vTp0xg/fnyJrxBxdXVFjx49EBgYCLVajf/85z/afV5eXvDw8MCQIUOwe/duXLt2DYcOHcJ7772HY8eOlaj/MnnmHJKVYNeuXQKAuHjxYqF9Dx8+FK+99pqoUaOGsLW1FUOHDhWpqak6ba5duyZeeOEFYWNjI2rXri3eeOMNkZeXp9MmOjpadOzYUVhaWoomTZpopyQt6KuvvhINGzYUlpaWolu3buKPP/4odZbicFp/MlQcS6Zj3TohAOlj0yZpW3R0dKGpm4v6iI6OLrZ/jiXSF44lKq2nTZ+uVqtFRkaGUKvVMiV7uuzsbPHOO++Izp07C3t7e2Fraytatmwp3n//ffHgwQNtOwBiy5Yt2tcJCQkCgDh58qR2m+Z7eUZGhnZbeab11+QbNmyYcHBwKDStf8E8Qghhb2+v8zv2pUuXxNChQ4WDg4P2UQQhISEi/99nHty7d0+MHTtW2Nrainr16olFixYVO62/JtOCBQtEu3bthLW1tahZs6bo2bOnWLt2rbYGuHv3rhgxYoRQqVTCxcVFrF27tshp/Z/8HAp+3QCIcePGabdpxtGdO3fE9OnTRf369YWFhYVwcXERY8aMEYmJiUX2pY9p/RX/BqZKkJmZCXt7e9y9e1dvk45s374dAwcO5PX9VC4cS6bh5EnAwwPIyQE++ACYP1/arlar4erqipSUFBT9I0GBevWckZKSUOxfKDmWSF84lqi0srOzkZCQgMaNG+tM7pCfn4/MzEyoVCqDvYeNDF9Zx9HTxiVQ8tqAo5aIyAQIAbzxhlSsDRoEzJ37eJ9SqUR4eDgAFDGDmuZ1GO7fL/nz2IiIiEg/WLAREZmAPXuA6GjA0hJYulS6f60gf39/REREoEGDBjrbGzRwRp06EUhP98frr1diYCIiIgLAgo2IqMoTAnj3XWl96lSgYcOi2/n7++PatWuIjo7G+vXrER0djevXE7B1qz8A4LvvgBMnKik0ERERATCQ57AREVHFiYwEjh0D7OweF25Po1Qq4eXlpbOtRw9gzBjgxx+Bd94Bdu+uuKxERESki2fYiIiquI8/lpahoUDdumXr48MPpcspo6KkDyIiIqocLNiIiKqw+HhpdkhLSyA4uOz9NG4MvPaatP7220B+vl7iERERUTFYsBERVWFr1kjLwYOBWrXK19d77wHVq0sF4K5d5c9GRERExWPBRkRUBanVauzeHYPVqzcAiMG4cepy91m7NhAYKK0vW1bu7oiIiKgEWLAREVUxkZGRcHV1ha+vN7KyRgPwxtSproiMjCx335rLIrdvB65eLXd3REREVAwWbEREVUhkZCQCAgKQnJyssz0lJQUBAQHlLtqaNwd8faVHBaxYUa6uiIjICCgUCmzdulXuGCaNBRsRURWhVqsRHBwMIUShfZptISEhUKvLd3lkUJC0XL0aePCgXF0REdG/4uLioFQq4efnV+r3urq6IiwsTP+hSigtLQ3Tp09HkyZNYGVlBRcXFwwaNAh79+6t9CxVscBkwUZEVEXExsYWOrNWkBACSUlJiI2NLddxBg4EXF2BjAxg48ZydUVEZHDUajViYmKwYcMGxMTElPuPXCW1evVqTJ8+HQcOHMCNGzcq5Zj6cO3aNbi7u2Pfvn347LPPcPr0aezcuRPe3t4I0vyFj8qFBRsRURWRmpqq13ZPo1QCkydL6+vXl6srIiKDorkH2NvbG6NHj4a3tzdcXfVzD/Cz3L9/Hxs3bsTUqVPh5+eHtWvXFmrz66+/omvXrrC2tkbt2rUxdOhQAICXlxeuX7+OGTNmQKFQQKFQAADmzp2Ljh076vQRFhYGV1dX7eujR4+iX79+qF27Nuzt7dG7d2+cOHGiVNlfe+01KBQKHDlyBMOGDUOLFi3Qpk0bhIaG4o8//tC2S0xMxODBg1GtWjWoVCq89NJLSE9P1+5/5ZVXMGTIEJ2+Q0JC4OXlpX3t5eWF119/HTNnzkTNmjXh6OiIuXPnavdrPrehQ4dCoVBoX586dQre3t6oXr06VCoV3N3dcezYsVJ9nnJiwUZEVEU4OTnptd2zjBghLfftA27dKnd3RESyq+h7gJ9l06ZNaNWqFVq2bImxY8fi22+/1bm8fdu2bRg6dCgGDhyIkydPYu/evejWrZs2t7OzM+bPn4/U1NRS/VHu3r17GD9+PH7//Xf88ccfaN68OQYOHIh79+6V6P23b9/Gzp07ERQUBDs7u0L7HRwcAAD5+fkYPHgwbt++jf379yMqKgpXr17FCM0Pk1JYt24d7OzscPjwYSxatAjz589HVFQUAKkABYA1a9YgNTVV+3rMmDFwdnbG0aNHcfz4cbzzzjuwsLAo9bHlYi53ACIi0g9PT084OzsjOTkFQOH72BQKBZydneHp6VnuYzVtCri7A8ePAz//DEyZUu4uiYhkU9w9wAqFAiEhIRg8eDCUSqXej7969WqMHTsWADBgwADcvXsX+/fv155d+vjjjzFy5EjMmzdP+54OHToAAGrWrAmlUonq1avD0dGxVMft06ePzutVq1bBwcEB+/fvx4svvljs+//66y8IIdCqVatnttu7dy9Onz6NhIQEuLi4AAC+++47tGnTBkePHkXXrl1LnLl9+/aYM2cOAKB58+ZYunQp9u7di379+qFOnToApEKx4NciMTERb731ljZn8+bNS3w8Q8AzbEREVYRSqUR4ePi/rxQ6+zSXyISFhentlw3NH0Y3bdJLd0REsqmse4CLcvHiRRw5cgSjRo0CAJibm2PEiBFYvXq1tk18fDz69u2r92Onp6dj8uTJaN68Oezt7aFSqXD//n0kJiaW6P1FFbhFOX/+PFxcXLTFGgC4ubnBwcEB58+fL1Xm9u3b67x2cnLCzZs3n/me0NBQTJo0CT4+Pvj0009x5cqVUh1TbizYiIiqkKFD/VGvXgSABjrbnZ2dERERAX9/f70da/hwabl/P5CWprduiYgqXWXdA1yU1atX49GjR6hfvz7Mzc1hbm6OFStW4Oeff8bdu3cBADY2NqXu18zMrFBBlZeXp/N6/PjxiI+PR3h4OA4dOoT4+HjUqlULubm5JTpG8+bNoVAocOHChVLnK0teAIUuZVQoFMjPz39m33PnzsXZs2fh5+eHffv2wc3NDVu2bCl35srCgo2IqAq5dAlIT/eHufk1bNsWjfXr1yM6OhoJCQl6LdYAaabI7t2B/HzpskgiImNVmfcAF/To0SN89913WLx4MeLj47Ufp06dQv369bFhwwYA0lmlZ02Rb2lpWWg2yzp16iAtLU2nCIqPj9dpc/DgQbz++usYOHAg2rRpAysrK/z9998lzl+zZk34+vpi2bJlyMrKKrT/zp07AIDWrVsjKSkJSUlJ2n3nzp3DnTt34Obmps37ZEH8ZN6SsLCwKHJmzxYtWmDGjBnYvXs3/P39sWbNmlL3LRcWbEREVcj27dLS21uJgQO9MGrUKHh5eVXIPRcA8NJL0pKXRRKRMdPcA6y5fPxJCoUCLi4uerkHuKDffvsNGRkZCAwMRNu2bXU+hg0bpr0scs6cOdiwYQPmzJmD8+fP4/Tp01i4cKG2H1dXVxw4cAApKSnagsvLywu3bt3CokWLcOXKFSxbtgw7duzQOX7z5s3x/fff4/z58zh8+DDGjBlT6rN5y5Ytg1qtRrdu3fDzzz/j8uXLOH/+PL788kt4eHgAAHx8fNCuXTuMGTMGJ06cwJEjRzBu3Dj07t0bXbp0ASDdT3fs2DF89913uHz5MubMmYMzZ86U+mvq6uqKvXv3Ii0tDRkZGXj48CGmTZuGmJgYXL9+HQcPHsTRo0fRunXrUvctFxZsRERVSHS0tOzfv3KOpzlpd/Ag8O8fUomIjE7Be4CfLNoq4h5gjdWrV8PHxwf29vaF9g0bNgzHjh3Dn3/+CS8vL2zevBm//PILOnbsiD59+uDIkSPatvPnz8e1a9fQtGlT7cQbrVu3xvLly7Fs2TJ06NABR44cwZtvvlno+BkZGejcuTNefvllvP7666hbt26pPocmTZrgxIkT8Pb2xhtvvIG2bduiX79+2Lt3L1asWAFA+hr+3//9H2rUqIHnn38ePj4+aNKkCTYWeJinr68vPvjgA8ycORNdu3bFvXv3MG7cuFJlAYDFixcjKioKLi4u6NSpE5RKJf755x+MGzcOLVq0wEsvvYQXXnhBZwIXQ6cQJb1bkMotMzMT9vb2uHv3LlQqVbn7y8vLw/bt2zFw4ECjmpqUDA/HUtWgVgO1a0uF05EjQCkm3SqX1q2BCxeAiAjgP//hWCL94PclKq3s7GwkJCSgcePGsLa21m7Pz89HZmYmVCoVzMyefa4iMjISwcHBOhOQuLi4ICwsTO+XlZNxKc04Kuhp4xIoeW3Aaf2JiKqI06elYq16daBTp8o77oABUsG2cyfwn/9U3nGJiPTN398fgwcPRmxsLFJTU+Hk5ARPT88Ku6ycqCRYsBERVREHDkjLnj0B80r87u7rC4SFSQUbr9kgImOnVCq1zz8jMgS8h42IqIrYv19a9u5ducft3RuwtgaSk4FSPk6HiIiIisGCjYioChDi8Rm255+v3GPb2DwuEnfv5o8VIiIifeJPViKiKuDcOeDvv6Xi6d8ZkiuVr6+03L276CmxiYgqC+fTI0Oij/HIgo2IqArQXA7ZowdgaVn5xx8wAADU2L9/P/bt+x379+8v8sGlREQVRTMxSG5ursxJiB578OABAJRrtltOOkJEVAXIdf+axrlzkVAqg5GXl4wvvwS+/PJzODs7Izw8nFNhE1GlMDc3h62tLW7dugULCwvt1Ov5+fnIzc1FdnZ2qaZjJyqotONICIEHDx7g5s2bcHBwKNdMoyzYiIiMnBDA779L65V9/xogPbdo+PCAQpd9pKSkICAgABERESzaiKjCKRQKODk5ISEhAdevX9duF0Lg4cOHsLGxKfRQbKKSKus4cnBwgKOjY7mOzYKNiMjIJScDN24ASmXlPSxbQ61WIzg4uMhr9IUQUCgUCAkJweDBg/kcIyKqcJaWlmjevLnOZZF5eXk4cOAAnn/+eT6EncqsLOPIwsJCLz/7WLARERm5w4elZYcOgK1t5R47NjYWycnJT90vhEBSUhJiY2P5XCMiqhRmZmawtrbWvlYqlXj06BGsra1ZsFGZyTmOeCEvEZGR++MPadm9e+UfOzU1Va/tiIiISBcLNiIiI6cp2J57rvKP7eTkpNd2REREpIsFGxGREcvLA44fl9blKNg8PT3h7Oz81BuwFQoFXFxc4OnpWcnJiIiIqgYWbERERuzPP4HsbKBGDaB588o/vlKpRHh4OAAUKto0r8PCwjjhCBERURmxYCMiMmIF71+Ta7Zqf39/REREoEGDBjrb69Vz5pT+RERE5cSCjYjIiGlmiJRjwpGC/P39ce3aNURFRcHFZSWAaHzwQQKLNSIionJiwUZEZMTknHDkSUqlEr1790aPHr0BeOGPP3gZJBERUXmxYCMiMlL//ANcviytd+smb5aCmje/AwA4elTeHERERFUBCzYiIiN17Ji0bN4cqFlT3iwFNWuWAQC4eBHIzJQ5DBERkZFjwUZEZKQ0BVuXLvLmeJKDQy4aNhQQ4vEjB4iIiKhsWLARERkpTTHk7i5vjqK4uwsAvCySiIiovFiwEREZKUMu2Lp0YcFGRESkDyzYiIiM0N9/A4mJ0nqnTvJmKQoLNiIiIv1gwUZEZIQ0Z9datADs7eXNUpTOnQUUCuD6deDmTbnTEBERGS8WbERERkgz4YghXg4JSEVky5bSOs+yERERlR0LNiIiI2TI969pdO0qLVmwERERlR0LNiIiI8SCjYiIyDSwYCMiMjKGPuGIRsGCTQh5sxARERkrFmxEREZGc3ateXPDnHBEo0MHwMwMuHULSE2VOw0REZFxkr1gS0lJwdixY1GrVi3Y2NigXbt2OKa5mx6AEAKzZ8+Gk5MTbGxs4OPjg8uXL+v0cfv2bYwZMwYqlQoODg4IDAzE/fv3ddr8+eef8PT0hLW1NVxcXLBo0aJCWTZv3oxWrVrB2toa7dq1w/bt23X2lyQLEVFFM/QJRzRsbIBWraT1+HhZoxARERktWQu2jIwM9OzZExYWFtixYwfOnTuHxYsXo0aNGto2ixYtwpdffomVK1fi8OHDsLOzg6+vL7Kzs7VtxowZg7NnzyIqKgq//fYbDhw4gFdffVW7PzMzE/3790ejRo1w/PhxfPbZZ5g7dy5WrVqlbXPo0CGMGjUKgYGBOHnyJIYMGYIhQ4bgzJkzpcpCRFTRNMVP586yxiiRjh2lJQs2IiKisjGX8+ALFy6Ei4sL1qxZo93WuHFj7boQAmFhYXj//fcxePBgAMB3332HevXqYevWrRg5ciTOnz+PnTt34ujRo+jSpQsA4KuvvsLAgQPx+eefo379+vjxxx+Rm5uLb7/9FpaWlmjTpg3i4+OxZMkSbWEXHh6OAQMG4K233gIAfPjhh4iKisLSpUuxcuXKEmV5Uk5ODnJycrSvMzMzAQB5eXnIy8sr99dP04c++iLTxrFkXOLjzQEo0K7dI+TlGdbNYU+OpXbtzAAoceJEPvLy1DImI2PD70ukLxxLpA8VMY5K2pesBdsvv/wCX19fDB8+HPv370eDBg3w2muvYfLkyQCAhIQEpKWlwcfHR/see3t7dO/eHXFxcRg5ciTi4uLg4OCgLdYAwMfHB2ZmZjh8+DCGDh2KuLg4PP/887C0tNS28fX1xcKFC5GRkYEaNWogLi4OoaGhOvl8fX2xdevWEmd50oIFCzBv3rxC23fv3g1bW9uyfdGKEBUVpbe+yLRxLBm+Bw/M8ddffgCAmzejsH17rsyJiqYZSzk5dQD0QFzcA2zfvlfeUGSU+H2J9IVjifRBn+PowYMHJWona8F29epVrFixAqGhoXj33Xdx9OhRvP7667C0tMT48eORlpYGAKhXr57O++rVq6fdl5aWhrp16+rsNzc3R82aNXXaFDxzV7DPtLQ01KhRA2lpacUep7gsT5o1a5ZOEZiZmQkXFxf0798fKpWqmK9O8fLy8hAVFYV+/frBwsKi3P2R6eJYMh4HDyoAAA0aCIwa5VNM68r35Fjq0gWYOxdITbWDp+dAVK8ud0IyFvy+RPrCsUT6UBHjSHP1XXFkLdjy8/PRpUsXfPLJJwCATp064cyZM1i5ciXGjx8vZzS9sLKygpWVVaHtFhYWev2Goe/+yHRxLBk+zW21nTopDPrfSjOWGjQA6tcHbtxQ4MIFC/ToIXcyMjb8vkT6wrFE+qDPcVTSfmSddMTJyQlubm4621q3bo3Efx8w5OjoCABIT0/XaZOenq7d5+joiJs3b+rsf/ToEW7fvq3Tpqg+Ch7jaW0K7i8uCxFRRdNM3qGZzMMYcOIRIiKispO1YOvZsycuXryos+3SpUto1KgRAGkCEkdHR+zd+/i+h8zMTBw+fBgeHh4AAA8PD9y5cwfHNQ8mArBv3z7k5+eje/fu2jYHDhzQubEvKioKLVu21M5I6eHhoXMcTRvNcUqShYioorFgIyIiMi2yFmwzZszAH3/8gU8++QR//fUX1q9fj1WrViEoKAgAoFAoEBISgo8++gi//PILTp8+jXHjxqF+/foYMmQIAOmM3IABAzB58mQcOXIEBw8exLRp0zBy5EjUr18fADB69GhYWloiMDAQZ8+excaNGxEeHq5zf1lwcDB27tyJxYsX48KFC5g7dy6OHTuGadOmlTgLEVFFyst7fEmkMRVsnTpJy5Mn5c1BRERkjGS9h61r167YsmULZs2ahfnz56Nx48YICwvDmDFjtG1mzpyJrKwsvPrqq7hz5w569eqFnTt3wtraWtvmxx9/xLRp09C3b1+YmZlh2LBh+PLLL7X77e3tsXv3bgQFBcHd3R21a9fG7NmzdZ7V1qNHD6xfvx7vv/8+3n33XTRv3hxbt25F27ZtS5WFiKiiXLwI5OQA1asDT8yjZNA0xeXp08CjR4C5rD95iIiIjIvsPzZffPFFvPjii0/dr1AoMH/+fMyfP/+pbWrWrIn169c/8zjt27dHbGzsM9sMHz4cw4cPL1cWIqKKormksEMHwEzW6yNKp0kToFo14P59qehs00buRERERMbDiH7kExGZNs0lhcZ0OSQgFZft20vrp07Jm4WIiMjYsGAjIjISxjjhiEa7dtJScw8eERERlQwLNiIiIyCEcRdsmtuBWbARERGVDgs2IiIjkJwM3L4tTdhhjPeAac6wnT4tbw4iIiJjw4KNiMgIaM6utW4NGOPEtJozbNeuAffuyRqFiIjIqLBgIyIyAsZ8OSQA1KoFODlJ62fPypuFiIjImLBgIyIyAsZesAG8LJKIiKgsWLARERmBqlCwceIRIiKi0mPBRkRk4O7eBa5eldY7dJA3S3nwDBsREVHpsWAjIjJwmodNu7hI94IZK55hIyIiKj0WbEREBq4qXA4JAG5ugEIB3LoFpKfLnYaIiMg4sGAjIjJwVaVgs7UFmjaV1nmWjYiIqGRYsBERGThNwdapk6wx9IL3sREREZUOCzYiIgOWm/v4uWXGfoYNeHwfGws2IiKikjGXOwARERVNrVbj++9jkZubCltbJ7i4eAJQyh2rXNq0kZbnz8ubg4iIyFjwDBsRkQGKjIyEq6srJk3yBjAaDx54o3FjV0RGRsodrVzc3KTl+fOAEPJmISIiMgYs2IiIDExkZCQCAgKQnJyssz0lJQUBAQFGXbS1aAGYmQF37gBpaXKnISIiMnws2IiIDIharUZwcDBEEaefNNtCQkKgVqsrO5peWFk9nimSl0USEREVjwUbEZEBiY2NLXRmrSAhBJKSkhAbG1uJqfSrdWtpee6cvDmIiIiMAQs2IiIDkpqaqtd2hqjgfWxERET0bCzYiIgMiJOTk17bGSKeYSMiIio5FmxERAbE09MTzs7OUCgURe5XKBRwcXGBp6dnJSfTH55hIyIiKjkWbEREBkSpVCI8PPzfV7pFm6aICwsLg1JpvM9ja9VKWqanA7dvy5uFiIjI0LFgIyIyMP7+/oiIiIBS2UBnu7OzMyIiIuDv7y9TMv2oVg1o2FBa51k2IiKiZzOXOwARERXWp48/1OrBAGLxzTepaNbMCZ6enkZ9Zq2g1q2BxETpPraePeVOQ0REZLhYsBERGaBTpwBAiUaNvDBpktxp9M/NDdi1i2fYiIiIisNLIomIDNDJk9KyY0dZY1QYzhRJRERUMizYiIgMUHy8tKzqBRvPsBERET0bCzYiIgNkKgVbYiJw/768WYiIiAwZCzYiIgOTm/v4UsFOneTNUlFq1QLq1pXWL1yQNwsREZEhY8FGRGRgzp0D8vIAB4fH099XRXyANhERUfFYsBERGZiCl0MqFM9qadw48QgREVHxWLARERmYqn7/mgbPsBERERWPBRsRkYExlYKNZ9iIiIiKx4KNiMiACGE6BZvmDNuVK0BOjrxZiIiIDBULNiIiA3LtGnD3LmBh8fgMVFXl6AjY2wP5+cClS3KnISIiMkws2IiIDIjm7FqbNoClpaxRKpxCwfvYiIiIisOCjYjIgJjK5ZAavI+NiIjo2ViwEREZEE3BVlUfmP0knmEjIiJ6NhZsREQGhGfYiIiIqCAWbEREBuL2bSAxUVrv0EHeLJVFc4bt0iXg0SN5sxARERkiFmxERAbi1Clp2bixNHuiKWjYELC1BXJzgatX5U5DRERkeFiwEREZCFO7HBIAzMyAVq2kdd7HRkREVBgLNiIiA3HypLQ0pYINeHwf24UL8uYgIiIyRCzYiIgMhCmeYQMen2FjwUZERFQYCzYiIgOQnf34kkAWbERERKTBgo2IyACcOyfNklijBuDiIneaylWwYBNC3ixERESGhgUbEZEBKPjAbIVC1iiVrlkzQKFQ486dGHz99QbExMRArVbLHYuIiMggsGAjIjIApnr/GgBs3x4JMzNXAN6YOnU0vL294erqisjISLmjERERyU7Wgm3u3LlQKBQ6H60018YAyM7ORlBQEGrVqoVq1aph2LBhSE9P1+kjMTERfn5+sLW1Rd26dfHWW2/h0RNPX42JiUHnzp1hZWWFZs2aYe3atYWyLFu2DK6urrC2tkb37t1x5MgRnf0lyUJEVFamWrBFRkYiICAAanWyzvaUlBQEBASwaCMiIpMn+xm2Nm3aIDU1Vfvx+++/a/fNmDEDv/76KzZv3oz9+/fjxo0b8Pf31+5Xq9Xw8/NDbm4uDh06hHXr1mHt2rWYPXu2tk1CQgL8/Pzg7e2N+Ph4hISEYNKkSdi1a5e2zcaNGxEaGoo5c+bgxIkT6NChA3x9fXHz5s0SZyEiKqv8fNMs2NRqNYKDgyGKuHFNsy0kJISXRxIRkUmTvWAzNzeHo6Oj9qN27doAgLt372L16tVYsmQJ+vTpA3d3d6xZswaHDh3CH3/8AQDYvXs3zp07hx9++AEdO3bECy+8gA8//BDLli1Dbm4uAGDlypVo3LgxFi9ejNatW2PatGkICAjAF198oc2wZMkSTJ48GRMmTICbmxtWrlwJW1tbfPvttyXOQkRUVgkJwL17gKXl4wk4TEFsbCySk5Oful8IgaSkJMTGxlZiKiIiIsNiLneAy5cvo379+rC2toaHhwcWLFiAhg0b4vjx48jLy4OPj4+2batWrdCwYUPExcXhueeeQ1xcHNq1a4d69epp2/j6+mLq1Kk4e/YsOnXqhLi4OJ0+NG1CQkIAALm5uTh+/DhmzZql3W9mZgYfHx/ExcUBQImyFCUnJwc5OTna15mZmQCAvLw85OXllfEr9pimD330RaaNY0lex44pAJijTRsB4BGM+Z+hNGMpKSmpRH0mJSVxbJogfl8ifeFYIn2oiHFU0r5kLdi6d++OtWvXomXLlkhNTcW8efPg6emJM2fOIC0tDZaWlnBwcNB5T7169ZCWlgYASEtL0ynWNPs1+57VJjMzEw8fPkRGRgbUanWRbS78+1CgkmQpyoIFCzBv3rxC23fv3g1bW9unvq+0oqKi9NYXmTaOJXn8/HMrAC1Rs2Yitm+PlzuOXpRkLF2/fr1EfV2/fh3bt28vbyQyUvy+RPrCsUT6oM9x9ODBgxK1k7Vge+GFF7Tr7du3R/fu3dGoUSNs2rQJNjY2MibTj1mzZiE0NFT7OjMzEy4uLujfvz9UKlW5+8/Ly0NUVBT69esHCwuLcvdHpotjSV6rVikBAC++6IyBA+vLnKZ8SjOWfH19sXLlSty4caPI+9gUCgUaNGiAN998E0qlsqIik4Hi9yXSF44l0oeKGEeaq++KI/slkQU5ODigRYsW+Ouvv9CvXz/k5ubizp07Ome20tPT4ejoCABwdHQsNJujZubGgm2enM0xPT0dKpUKNjY2UCqVUCqVRbYp2EdxWYpiZWUFKyurQtstLCz0+g1D3/2R6eJYkseff0rLLl2UsLCoGoVJScaShYUFvvzySwQEBEChUOgUbYp/H0YXHh4Oa2vrCs1Kho3fl0hfOJZIH/Q5jkraj+yTjhR0//59XLlyBU5OTnB3d4eFhQX27t2r3X/x4kUkJibCw8MDAODh4YHTp0/rzOYYFRUFlUoFNzc3bZuCfWjaaPqwtLSEu7u7Tpv8/Hzs3btX26YkWYiIyuLvvwHNvBvt28ubRQ7+/v6IiIhAgwYNdLY7OzsjIiKCs/ESEZHJk/UM25tvvolBgwahUaNGuHHjBubMmQOlUolRo0bB3t4egYGBCA0NRc2aNaFSqTB9+nR4eHhoJ/no378/3Nzc8PLLL2PRokVIS0vD+++/j6CgIO2ZrSlTpmDp0qWYOXMmJk6ciH379mHTpk3Ytm2bNkdoaCjGjx+PLl26oFu3bggLC0NWVhYmTJgAACXKQkRUFqdOScumTQE9XCltlPz9/TF48GBMmxaLlStT4e3thKgoT14GSUREBJkLtuTkZIwaNQr//PMP6tSpg169euGPP/5AnTp1AABffPEFzMzMMGzYMOTk5MDX1xfLly/Xvl+pVOK3337D1KlT4eHhATs7O4wfPx7z58/XtmncuDG2bduGGTNmIDw8HM7Ozvjf//4HX19fbZsRI0bg1q1bmD17NtLS0tCxY0fs3LlTZyKS4rIQEZWFKT5/rShKpRIvvuiFlSuB27cB1mpEREQSWQu2n3766Zn7ra2tsWzZMixbtuypbRo1alTs7GFeXl44efLkM9tMmzYN06ZNK1cWIqLSYsH2mOYZdBcvSg8TNzOoi/aJiIjkwR+HREQy0vwtiQUb4OoqPTw8OxtITJQ7DRERkWFgwUZEJJOHD4F/H/fIgg3SZZAtWkjr58/Lm4WIiMhQsGAjIpLJ2bOAWg3UqgU8MUmiydJcFqkpZImIiEwdCzYiIpkUvH/t38eOmTwWbERERLpYsBERyURTsHXqJGsMg8KCjYiISBcLNiIimXCGyMJat5aWLNiIiIgkLNiIiGSQn//4odks2B7TTDpy86b0PDYiIiJTx4KNiEgGV68C9+8DVlZAy5ZypzEc1aoBLi7S+sWL8mYhIiIyBCzYiIhkoLkcsl07wNxc1igGh/exERERPcaCjYhIBnxg9tOxYCMiInqMBRsRkQw44cjTsWAjIiJ6jAUbEZEMWLA9HQs2IiKix1iwERFVsps3gRs3pIdlt28vdxrDoynYrlwBcnPlzUJERCQ3FmxERJVMM51/s2ZA9eryZjFETk7S10Wtloo2IiIiU8aCjYiokvFyyGdTKHhZJBERkQYLNiKiSsaCrXiagu38eXlzEBERyY0FGxFRJWPBVjyeYSMiIpKwYCMiqkQPHz4uQliwPR0LNiIiIgkLNiKiSnTmDJCfD9SuLU2uQUUrWLAJIW8WIiIiObFgIyKqRJoZIjt0kCbXoKI1awYolcC9e0BqqtxpiIiI5MOCjYioEmkKNl4O+WyWlkDTptI6L4skIiJTxoKNiKgSaSYc6dBB1hhGgfexERERsWAjIqo0QgB//imts2ArHgs2IiIiFmxERJXm2jUgMxOwsHhcjNDTsWAjIiJiwUZEVGk096+5uUn3aNGzsWAjIiJiwUZEVGkKzhBJxWvZUlomJQH378ubhYiISC4s2IiIKgkLttKpWROoW1dav3RJ3ixERERyYcFGRFRJOKV/6fGySCIiMnUs2IiIKkFmJnD1qrTOM2wlpynYzp+XNwcREZFcWLAREVWC06elZYMGQK1a8mYxJjzDRkREpo4FGxFRJeADs8uGBRsREZk6FmxERJWAE46UjaZgu3QJUKvlzUJERCQHFmxERJWABVvZNGwIWFsDubnSg8eJiIhMDQs2IqIKpFarsXdvDE6e3AAgBm3b8jRRaSiVj5/HxssiiYjIFLFgIyKqIJGRkXB1dYWPjzfy8kYD8MaAAa6IjIyUO5pR4X1sRERkyliwERFVgMjISAQEBCA5OVlne0pKCgICAli0lQILNiIiMmUs2IiI9EytViM4OBhCiEL7NNtCQkKg5iwaJcKCjYiITBkLNiIiPYuNjS10Zq0gIQSSkpIQGxtbiamMFws2IiIyZSzYiIj0LDU1Va/tTF2LFtLy77+lDyIiIlPCgo2ISM+cnJz02s7U2doCjRpJ6xcvypuFiIiosrFgIyLSM09PTzg7O0OhUBS5X6FQwMXFBZ6enpWczHjxskgiIjJVLNiIiPRMqVQiPDz831e6RZumiAsLC4NSqazkZMZLU7CdPy9vDiIiosrGgo2IqAL4+/sjIiICtrYNdLY7OzsjIiIC/v7+MiUzTjzDRkREpooFGxFRBfH390fz5tcARCM0dD2io6ORkJDAYq0MWLAREZGpMpc7ABFRVZWXB5w/rwTghWnTgMaN5U5kvDQFW0ICkJ0NWFvLm4eIiKiy8AwbEVEFuXAByM0FVCrA1VXuNMatXj3A3h7Izwf++kvuNERERJWHBRsRUQU5dUpatm8PPGXCSCohhYKXRRIRkWliwUZEVEHi46Vlx45ypqg6WreWlizYiIjIlLBgIyKqIJozbB06yJujquAZNiIiMkUGU7B9+umnUCgUCAkJ0W7Lzs5GUFAQatWqhWrVqmHYsGFIT0/XeV9iYiL8/Pxga2uLunXr4q233sKjR4902sTExKBz586wsrJCs2bNsHbt2kLHX7ZsGVxdXWFtbY3u3bvjyJEjOvtLkoWISEMIFmz6xoKNiIhMkUEUbEePHsXXX3+N9u3b62yfMWMGfv31V2zevBn79+/HjRs3dKbDVqvV8PPzQ25uLg4dOoR169Zh7dq1mD17trZNQkIC/Pz84O3tjfj4eISEhGDSpEnYtWuXts3GjRsRGhqKOXPm4MSJE+jQoQN8fX1x8+bNEmchIiooLQ24dQswMwPatpU7TdVQsGATQt4sRERElUX2gu3+/fsYM2YMvvnmG9SoUUO7/e7du1i9ejWWLFmCPn36wN3dHWvWrMGhQ4fwxx9/AAB2796Nc+fO4YcffkDHjh3xwgsv4MMPP8SyZcuQm5sLAFi5ciUaN26MxYsXo3Xr1pg2bRoCAgLwxRdfaI+1ZMkSTJ48GRMmTICbmxtWrlwJW1tbfPvttyXOQkRUkObsWosWgI2NvFmqiiZNAHNzICsLSEmROw0REVHlKNNz2K5evYomTZroJUBQUBD8/Pzg4+ODjz76SLv9+PHjyMvLg4+Pj3Zbq1at0LBhQ8TFxeG5555DXFwc2rVrh3r16mnb+Pr6YurUqTh79iw6deqEuLg4nT40bTSXXubm5uL48eOYNWuWdr+ZmRl8fHwQFxdX4ixFycnJQU5OjvZ1ZmYmACAvLw95eXml/VIVoulDH32RaeNY0r8TJ8wAKNGuXT7y8tRyx6k0FT2WmjY1x8WLCpw58wj16vE0W1XG70ukLxxLpA8VMY5K2leZCrZmzZqhd+/eCAwMREBAAKzL+ATTn376CSdOnMDRo0cL7UtLS4OlpSUcHBx0tterVw9paWnaNgWLNc1+zb5ntcnMzMTDhw+RkZEBtVpdZJsL/94oUZIsRVmwYAHmzZtXaPvu3btha2v71PeVVlRUlN76ItPGsaQ/O3e6A3CGldUFbN9+We44la6ixpKDQzcAToiMPIecnIQKOQYZFn5fIn3hWCJ90Oc4evDgQYnalalgO3HiBNasWYPQ0FBMmzYNI0aMQGBgILp161biPpKSkhAcHIyoqKgyF3yGbtasWQgNDdW+zszMhIuLC/r37w+VSlXu/vPy8hAVFYV+/frBwsKi3P2R6eJY0r9Zs6Rvry+91AIDBjSXOU3lqeixdPCgGQ4fBpTKNhg4sLXe+yfDwe9LpC8cS6QPFTGONFffFadMBVvHjh0RHh6OxYsX45dffsHatWvRq1cvtGjRAhMnTsTLL7+MOnXqPLOP48eP4+bNm+jcubN2m1qtxoEDB7B06VLs2rULubm5uHPnjs6ZrfT0dDg6OgIAHB0dC83mqJm5sWCbJ2dzTE9Ph0qlgo2NDZRKJZRKZZFtCvZRXJaiWFlZwcrKqtB2CwsLvX7D0Hd/ZLo4lvTj4UPg0iVp3d3dHKb4Ja2osdSmjbS8dEkJCwul3vsnw8PvS6QvHEukD/ocRyXtp1yTjpibm8Pf3x+bN2/GwoUL8ddff+HNN9+Ei4sLxo0bh9TU1Ke+t2/fvjh9+jTi4+O1H126dMGYMWO06xYWFti7d6/2PRcvXkRiYiI8PDwAAB4eHjh9+rTObI5RUVFQqVRwc3PTtinYh6aNpg9LS0u4u7vrtMnPz8fevXu1bdzd3YvNQkSkcfYsoFYDtWsDTk5yp6laOLU/ERGZmjKdYdM4duwYvv32W/z000+ws7PDm2++icDAQCQnJ2PevHkYPHhwoTNgGtWrV0fbJ+a6trOzQ61atbTbAwMDERoaipo1a0KlUmH69Onw8PDQTvLRv39/uLm54eWXX8aiRYuQlpaG999/H0FBQdozW1OmTMHSpUsxc+ZMTJw4Efv27cOmTZuwbds27XFDQ0Mxfvx4dOnSBd26dUNYWBiysrIwYcIEAIC9vX2xWYiINOLjpWWnToBCIWuUKqdlS2l54waQmQno4epyIiIig1amgm3JkiVYs2YNLl68iIEDB+K7777DwIEDYWYmnbBr3Lgx1q5dC1dX13KF++KLL2BmZoZhw4YhJycHvr6+WL58uXa/UqnEb7/9hqlTp8LDwwN2dnYYP3485s+fr23TuHFjbNu2DTNmzEB4eDicnZ3xv//9D76+vto2I0aMwK1btzB79mykpaWhY8eO2Llzp85EJMVlISLSOHlSWnbsKGuMKsnBAXB0lJ5zd/Ei0LWr3ImIiIgqVpkKthUrVmDixIl45ZVX4PSU633q1q2L1atXl6rfmJgYndfW1tZYtmwZli1b9tT3NGrUCNu3b39mv15eXjip+Q3qKaZNm4Zp06Y9dX9JshARAY/PsLFgqxitWkkF24ULLNiIiKjqK1PBdvly8VNUW1paYvz48WXpnojIaOXnP35odqdO8mapqlq1AmJieB8bERGZhjJNOrJmzRps3ry50PbNmzdj3bp15Q5FRGSsrlwBsrIAGxugRQu501RNrf+dzZ8FGxERmYIyFWwLFixA7dq1C22vW7cuPvnkk3KHIiIyVpqrr9u1A5Scdb5CcKZIIiIyJWUq2BITE9G4ceNC2xs1aoTExMRyhyIiMla8f63iaQq2y5eBR4/kzUJERFTRylSw1a1bF3/++Weh7adOnUKtWrXKHYqIyFgVnNKfKoazM2BrC+TlAQkJcqchIiKqWGUq2EaNGoXXX38d0dHRUKvVUKvV2LdvH4KDgzFy5Eh9ZyQiMhqc0r/imZk9fh4bL4skIqKqrkwF24cffoju3bujb9++sLGxgY2NDfr3748+ffrwHjYiMllpadKHQiHdw0YVh/exERGRqSjTtP6WlpbYuHEjPvzwQ5w6dQo2NjZo164dGjVqpO98RERGQzOdf8uWgJ2dvFmqOhZsRERkKspUsGm0aNECLThvNRERAF4OWZk0Bdv58/LmICIiqmhlKtjUajXWrl2LvXv34ubNm8jPz9fZv2/fPr2EIyIyJpwhsvIUPMMmhHQZKhERUVVUpoItODgYa9euhZ+fH9q2bQsFf1ISEXGGyErUvLlUpGVkALduAXXryp2IiIioYpSpYPvpp5+wadMmDBw4UN95iIiM0v37wKVL0nqHDvJmMQU2NoCrqzSt/4ULLNiIiKjqKtMskZaWlmjWrJm+sxARGa3Tp6VL85ycgHr15E5jGjjxCBERmYIyFWxvvPEGwsPDIYTQdx4iIqPEyyErX+vW0vLsWXlzEBERVaQyXRL5+++/Izo6Gjt27ECbNm1gYWGhsz8yMlIv4YiIjAVniKx8bdtKSxZsRERUlZWpYHNwcMDQoUP1nYWIyGhxhsjK16aNtGTBRkREVVmZCrY1a9boOwcRkdF69Ei6hw3gJZGVyc1NWqalAX//DdSuLW8eIiKiilCme9gA4NGjR9izZw++/vpr3Lt3DwBw48YN3L9/X2/hiIiMwcWLQHY2UK0a0KSJ3GlMR7VqQOPG0jrPshERUVVVpjNs169fx4ABA5CYmIicnBz069cP1atXx8KFC5GTk4OVK1fqOycRkcHSXA7ZoQNgVuY/g1FZtG0rTe1/5gzQu7fcaYiIiPSvTL9aBAcHo0uXLsjIyICNjY12+9ChQ7F37169hSMiMgacIVI+molHzpyRNwcREVFFKdMZttjYWBw6dAiWlpY6211dXZGSkqKXYERExoIzRMqndWs1gFhER6ciJsYJnp6eUCqVcsciIiLSmzKdYcvPz4darS60PTk5GdWrVy93KCIiYyEEcOKEtM6CrXJFRkbirbdcAXjj4sXR8Pb2hqurKx8tQ0REVUqZCrb+/fsjLCxM+1qhUOD+/fuYM2cOBg4cqK9sREQG7+pVICMDsLQE2rWTO43piIyMREBAANLTk3W2p6SkICAggEUbERFVGWUq2BYvXoyDBw/Czc0N2dnZGD16tPZyyIULF+o7IxGRwTp2TFp26CAVbVTx1Go1goODIYQotE+zLSQkpMgrQYiIiIxNme5hc3Z2xqlTp/DTTz/hzz//xP379xEYGIgxY8boTEJCRFTVHT0qLbt2lTeHKYmNjUVycvJT9wshkJSUhNjYWHh5eVVeMCIiogpQpoINAMzNzTF27Fh9ZiEiMjqaM2xdusibw5SkpqbqtR0REZEhK1PB9t133z1z/7hx48oUhojImOTnA8ePS+s8w1Z5nJyc9NqOiIjIkJWpYAsODtZ5nZeXhwcPHsDS0hK2trYs2IjIJFy8CNy/D9jaAq1ayZ3GdHh6esLZ2RkpKSlF3semUCjg7OwMT09PGdIRERHpV5kmHcnIyND5uH//Pi5evIhevXphw4YN+s5IRGSQNJdDduoEmJf5AnMqLaVSifDwcABScVaQ5nVYWBifx0ZERFVCmQq2ojRv3hyffvppobNvRERVFScckY+/vz8iIiLQoEEDne21ajkjIiIC/v7+MiUjIiLSL70VbIA0EcmNGzf02SURkcHihCPy8vf3x7Vr1xAdHY0ePdYDiMaMGQks1oiIqEop00U8v/zyi85rIQRSU1OxdOlS9OzZUy/BiIgMWV4ecPKktM6CTT5KpRJeXl548UXg0CHg3Dm5ExEREelXmQq2IUOG6LxWKBSoU6cO+vTpg8WLF+sjFxGRQTt7FsjOBlQqoHlzudNQ27bS8swZeXMQERHpW5kKtvz8fH3nICIyKnFx0rJbN8BMrxeXU1m0aSMtz58HHj3iJDBERFR18NcMIqIy0BRsPXrIm4Mkrq7S4xVyc4ErV+ROQ0REpD9l+htkaGhoidsuWbKkLIcgIjJohw5JSw8PeXOQxMxMOst29Kh0WWTLlnInIiIi0o8yFWwnT57EyZMnkZeXh5b//lS8dOkSlEolOnfurG335PNxiIiqgps3H5/Fee45ebPQY23bPi7Yhg2TOw0REZF+lKlgGzRoEKpXr45169ahRo0aAKSHaU+YMAGenp5444039BqSiMiQ/PGHtHRzAxwcZI1CBXDiESIiqorKdA/b4sWLsWDBAm2xBgA1atTARx99xFkiiajK01wOyfvXDItm4pGzZ+XNQUREpE9lKtgyMzNx69atQttv3bqFe/fulTsUEZEh00w4wvvXDIvmDNulS0BOjrxZiIiI9KVMBdvQoUMxYcIEREZGIjk5GcnJyfj5558RGBgIf39/fWckIjIYeXnSfVIAz7AZmvr1pUtU1WrgwgW50xAREelHmQq2lStX4oUXXsDo0aPRqFEjNGrUCKNHj8aAAQOwfPlyfWckIjIYp04BDx8CNWoALVrInYYKUiiAdu2k9T//lDcLERGRvpSpYLO1tcXy5cvxzz//aGeMvH37NpYvXw47Ozt9ZyQiMhgFL4fkA7MNT4cO0vLUKXlzEBER6Uu5ft1ITU1FamoqmjdvDjs7Owgh9JWLiMggHTggLXk5pGFiwUZERFVNmQq2f/75B3379kWLFi0wcOBApKamAgACAwM5pT8RVVn5+UB0tLTu7S1vFipawYKNf0MkIqKqoEwF24wZM2BhYYHExETY2tpqt48YMQI7d+7UWzgiIkNy5gzwzz+AnR3QtavcaagobdtKl6reugWkpcmdhoiIqPzK9ODs3bt3Y9euXXB2dtbZ3rx5c1y/fl0vwYiIDIlarcaqVbEAUuHm5gQzM08ASrlj0RNsbKTJYC5ckM6yOTnJnYiIiKh8ynSGLSsrS+fMmsbt27dhZWVV7lBERIYkMjISrq6uWLbMG8BoHD3qDVdXV0RGRsodjYqguSySM0USEVFVUKaCzdPTE9999532tUKhQH5+PhYtWgRv3thBRFVIZGQkAgICkJycrLM9JSUFAQEBLNoMUPv20pITjxARUVVQpksiFy1ahL59++LYsWPIzc3FzJkzcfbsWdy+fRsHDx7Ud0YiIlmo1WoEBwcXOQOuEAIKhQIhISEYPHgwlEpeHmkoOFMkERFVJWU6w9a2bVtcunQJvXr1wuDBg5GVlQV/f3+cPHkSTZs2LXE/K1asQPv27aFSqaBSqeDh4YEdO3Zo92dnZyMoKAi1atVCtWrVMGzYMKSnp+v0kZiYCD8/P9ja2qJu3bp466238OjRI502MTEx6Ny5M6ysrNCsWTOsXbu2UJZly5bB1dUV1tbW6N69O44cOaKzvyRZiKhqiY2NLXRmrSAhBJKSkhAbG1uJqag4moLtwgUgO1veLEREROVV6oItLy8Pffv2xc2bN/Hee+9h06ZN2L59Oz766CM4lfLubmdnZ3z66ac4fvw4jh07hj59+mDw4ME4e/YsAGk2yl9//RWbN2/G/v37cePGDfj7+2vfr1ar4efnh9zcXBw6dAjr1q3D2rVrMXv2bG2bhIQE+Pn5wdvbG/Hx8QgJCcGkSZOwa9cubZuNGzciNDQUc+bMwYkTJ9ChQwf4+vri5s2b2jbFZSGiqkfzyBJ9taPK0aABULMmoFYD587JnYaIiKicRBnUrl1bXLp0qSxvLVaNGjXE//73P3Hnzh1hYWEhNm/erN13/vx5AUDExcUJIYTYvn27MDMzE2lpado2K1asECqVSuTk5AghhJg5c6Zo06aNzjFGjBghfH19ta+7desmgoKCtK/VarWoX7++WLBggRBClChLSdy9e1cAEHfv3i3xe54lNzdXbN26VeTm5uqlPzJdHEtFi46OFgCK/YiOjpY7qsEwlLHk7S0EIMS338oag8rBUMYSGT+OJdKHihhHJa0NynQP29ixY7F69Wp8+umneigZJWq1Gps3b0ZWVhY8PDxw/Phx5OXlwcfHR9umVatWaNiwIeLi4vDcc88hLi4O7dq1Q7169bRtfH19MXXqVJw9exadOnVCXFycTh+aNiEhIQCA3NxcHD9+HLNmzdLuNzMzg4+PD+Li4gCgRFmKkpOTg5ycHO3rzMxMANJZyry8vDJ+pR7T9KGPvsi0cSwV7bnnnkODBg2QknIDUm2mS6FQoEGDBnjuuef4tfuXoYyldu3MEB2txMmTaowdmy9rFiobQxlLZPw4lkgfKmIclbSvMhVsjx49wrfffos9e/bA3d0ddnZ2OvuXLFlS4r5Onz4NDw8PZGdno1q1atiyZQvc3NwQHx8PS0tLODg46LSvV68e0v59GmpaWppOsabZr9n3rDaZmZl4+PAhMjIyoFari2xz4cIFbR/FZSnKggULMG/evELbd+/eXeRjEcoqKipKb32RaeNYKmzs2LFYuHARAAWeLNqEEBgzZozOJdYkkXssKRQuADpj374MbN/OybCMmdxjiaoOjiXSB32OowcPHpSoXakKtqtXr8LV1RVnzpxB586dAQCXLl3SaaNQKErTJVq2bIn4+HjcvXsXERERGD9+PPbv31+qPgzVrFmzEBoaqn2dmZkJFxcX9O/fHyqVqtz95+XlISoqCv369YOFhUW5+yPTxbH0dAMGDMSqVV2RkREC4PEEJM7Ozli8eDGGDh0qWzZDZChjycUFCA8HEhNrYcCAgTAr0xRbJCdDGUtk/DiWSB8qYhxprr4rTqkKtubNmyM1NRXR0dEAgBEjRuDLL78sdHaqNCwtLdGsWTMAgLu7O44ePYrw8HCMGDECubm5uHPnjs6ZrfT0dDg6OgIAHB0dC83mqJm5sWCbJ2dzTE9Ph0qlgo2NDZRKJZRKZZFtCvZRXJaiWFlZFfkgcQsLC71+w9B3f2S6OJYKO3YMyMgYBju7IYiMjMU//6TCyckJnp6enMr/GeQeS+3aAVZWwL17CiQlWeDfHzNkhOQeS1R1cCyRPuhzHJW0n1L9zVE88SyiHTt2ICsrqzRdFCs/Px85OTlwd3eHhYUF9u7dq9138eJFJCYmwsPDAwDg4eGB06dP68zmGBUVBZVKBTc3N22bgn1o2mj6sLS0hLu7u06b/Px87N27V9umJFmIqGr69Vdp6eurRP/+Xhg1ahS8vLxYrBk4C4vHD9A+eVLeLEREROVRpnvYNJ4s4Epr1qxZeOGFF9CwYUPcu3cP69evR0xMDHbt2gV7e3sEBgYiNDQUNWvWhEqlwvTp0+Hh4aGd5KN///5wc3PDyy+/jEWLFiEtLQ3vv/8+goKCtGe2pkyZgqVLl2LmzJmYOHEi9u3bh02bNmHbtm3aHKGhoRg/fjy6dOmCbt26ISwsDFlZWZgwYQIAlCgLEVVNv/wiLf/zH3lzUOl16gQcPQqcOAEMHy53GiIiorIpVcGmUCgK3aNW2nvWCrp58ybGjRuH1NRU2Nvbo3379ti1axf69esHAPjiiy9gZmaGYcOGIScnB76+vli+fLn2/UqlEr/99humTp0KDw8P2NnZYfz48Zg/f762TePGjbFt2zbMmDED4eHhcHZ2xv/+9z/4+vpq24wYMQK3bt3C7NmzkZaWho4dO2Lnzp06l3oWl4WIqp6kJCA+HlAogIED5U5DpdWpk7TkGTYiIjJmpSrYhBB45ZVXtGevsrOzMWXKlEKzREZGRpaov9WrVz9zv7W1NZYtW4Zly5Y9tU2jRo2wffv2Z/bj5eWFk8X8xJ42bRqmTZtWrixEVLVs2iQte/YE6tSRNwuV3r9zY+HECUAIqfAmIiIyNqUq2MaPH6/zeuzYsXoNQ0RkSH78UVqOHi1vDiqbdu0ApRK4dQu4cQNo0EDuRERERKVXqoJtzZo1FZWDiMignD0rXUpnbg689JLcaagsbGyA1q2BM2ekf0sWbEREZIz4ZBoioiJozq4NHAjUqiVvFio7zX1sJ07Im4OIiKisWLARET0hPx9Yv15a55Xfxo0TjxARkbFjwUZE9ISDB4Hr1wGVCnjxRbnTUHkUnHiEiIjIGLFgIyJ6wrp10nLYMOk+KDJemjNsiYnS5CNERETGhgUbEVEBGRmPL4ecMEHeLFR+KhXQsqW0fvy4vFmIiIjKggUbEVEBa9YADx8CHToAvXrJnYb0oUsXaXnsmLw5iIiIyoIFGxHRv/LzgeXLpfWgID5ouapgwUZERMaMBRsR0b927QKuXAEcHPiw7KqEBRsRERkzFmxERP9aulRaTpwI2NnJm4X0p2NHwMwMSEkBUlPlTkNERFQ6LNiIiACcOQNs3y5dBjl1qtxpSJ+qVQNat5bWOfEIEREZGxZsREQAFiyQlsOGAc2ayZuF9E9zWeTRo/LmICIiKi0WbERk8i5fBn76SVp/7z15s1DF4H1sRERkrFiwEZHJ+/RTaYZIPz/pfieqegoWbELIm4WIiKg0WLARkUm7fh347jtpnWfXqq4OHQBzc+DmTSA5We40REREJceCjYhM2rx5wKNHQN++gIeH3GmootjYAG3bSutHjsibhYiIqDRYsBGRyTp3Dli3Tlr/+GN5s1DF69ZNWh4+LG8OIiKi0mDBRkQm6913pXvX/P2B7t3lTkMV7bnnpCULNiIiMiYs2IjIJB08CPzf/0kPVObZNdOgKcqPHZMugyUiIjIG5nIHICKqLGq1GrGxsbhxIxWffOIEwBMTJyrRqpXcyagytGoFqFRAZqb0oHTOCEpERMaAZ9iIyCRERkbC1dUV3t7eGDNmNM6e9YZC4Ypu3SLljkaVxMzs8X1sf/whbxYiIqKSYsFGRFVeZGQkAgICkPzEfO5CpOC//w1AZCSLNlPB+9iIiMjYsGAjoipNrVYjODgYosinJUvbQkJCoFarKzcYyUJzHxvPsBERkbFgwUZEVVpsbGyhM2sFCSGQlJSE2NjYSkxFctEUbBcuABkZ8mYhIiIqCRZsRFSlpaam6rUdGbc6dYAmTaT1o0flzUJERFQSLNiIqEpzcnLSazsyfpr72HhZJBERGQMWbERUpXl6esLZ2RmAosj9CoUCLi4u8PT0rNxgJBtNwRYXJ28OIiKikmDBRkRVmlKpREBA+L+vdIs2hUJ6HRYWBqVSWcnJSC49e0rLuDiAc80QEZGhY8FGRFVaVhawebM/gAioVA109jk7OyMiIgL+/v7yhCNZtG8P2NkBd+8CZ8/KnYaIiOjZzOUOQERUkRYuBFJSAFdXf5w5MxhHj8YiNTUVTk5O8PT05Jk1E2RuDnh4AHv2AAcPSgUcERGRoWLBRkRV1rVrwGefSeuLFwN2dkp4eXnJGYkMRM+eUsH2++/A1KlypyEiIno6XhJJRFXWzJlAdjbg7Q0MHSp3GjIkvXpJy4MH5c1BRERUHBZsRFQl7d8PbN4MmJkBYWGAouhJIslEde8OKBRqXL8eg6VLNyAmJgZqzkBCREQGiAUbEVU5ajUQHCyt//e/vEeJCouKioS5uSsAb0yfPhre3t5wdXVFZGSk3NGIiIh0sGAjoipn9Wrg1CmgRg3gww/lTkOGJjIyEgEBAcjLS9bZnpKSgoCAABZtRERkUFiwEVGVcvs28N570vq8eUCtWvLmIcOiVqsRHBwMIUShfZptISEhvDySiIgMBgs2IqpS3nkH+PtvwM0NmDJF7jRkaGJjY5GcnPzU/UIIJCUlITY2thJTERERPR0LNiKqMg4eBL75RlpfuRKwsJA3Dxme1NRUvbYjIiKqaCzYiKhKyMt7fEZt4kTA01PePGSYnJyc9NqOiIioorFgI6IqYckS4MwZoHZtYNEiudOQofL09ISzszMUT3nOg0KhgIuLCzxZ8RMRkYFgwUZERi8hQZpgBAA+/5wTjdDTKZVKhIeHA0Chok3zOiwsDEqlstKzERERFYUFGxEZNSGAadOAhw8BLy9g3Di5E5Gh8/f3R0REBBo0aKCzvVYtZ0RERMDf31+mZERERIWxYCMioxYZCWzfLk0wsmIF8JQr3Yh0+Pv749q1a4iOjoa393oA0Rg/PoHFGhERGRxzuQMQEZWGWq1GbGwsUlNTYWfnhKAgTwBKvPMO0KqV3OnImCiVSnh5eSElBYiOBg4ckDsRERFRYSzYiMhoREZGIjg4+InnaDmjQYNwzJrFMyNUNr17S8vjx4HMTEClkjcPERFRQbwkkoiMQmRkJAICAop46HEKUlICsGNHpCy5yPg5OwPNmgH5+QCfl01ERIaGBRsRGTy1Wo3g4GAIIYrYK6BQACEhIVCr1ZWejaoGb29puWePvDmIiIiexIKNiAxebGxsEWfWHhNCICkpCbE8PUJl1K+ftIyKkjcHERHRk2Qt2BYsWICuXbuievXqqFu3LoYMGYKLFy/qtMnOzkZQUBBq1aqFatWqYdiwYUhPT9dpk5iYCD8/P9ja2qJu3bp466238OjRI502MTEx6Ny5M6ysrNCsWTOsXbu2UJ5ly5bB1dUV1tbW6N69O44cOVLqLESkf6mpqXptR/Skvn2lGUbPngVSUuROQ0RE9JisBdv+/fsRFBSEP/74A1FRUcjLy0P//v2RlZWlbTNjxgz8+uuv2Lx5M/bv348bN27oTLusVqvh5+eH3NxcHDp0COvWrcPatWsxe/ZsbZuEhAT4+fnB29sb8fHxCAkJwaRJk7Br1y5tm40bNyI0NBRz5szBiRMn0KFDB/j6+uLmzZslzkJEFcPJyUmv7YieVLMm0KWLtM7LIomIyKAIA3Lz5k0BQOzfv18IIcSdO3eEhYWF2Lx5s7bN+fPnBQARFxcnhBBi+/btwszMTKSlpWnbrFixQqhUKpGTkyOEEGLmzJmiTZs2OscaMWKE8PX11b7u1q2bCAoK0r5Wq9Wifv36YsGCBSXOUpy7d+8KAOLu3bslal+c3NxcsXXrVpGbm6uX/sh0GfpYevTokXBychaAQgAo9KFQKISLi4t49OiR3FFNnqGPpWd5910hACHGjJE7CQlh3GOJDAvHEulDRYyjktYGBjWt/927dwEANWvWBAAcP34ceXl58PHx0bZp1aoVGjZsiLi4ODz33HOIi4tDu3btUK9ePW0bX19fTJ06FWfPnkWnTp0QFxen04emTUhICAAgNzcXx48fx6xZs7T7zczM4OPjg7i4uBJneVJOTg5ycnK0rzMzMwEAeXl5yMvLK9PXqCBNH/roi0yboY+l/HygTp0vkJr6EgAFpDpNovj3Sdmff/458vPzkZ+fL09IAmD4Y+lZ+vRR4JNPzLFnj0BOziOY8S5vWRnzWCLDwrFE+lAR46ikfRlMwZafn4+QkBD07NkTbdu2BQCkpaXB0tISDg4OOm3r1auHtLQ0bZuCxZpmv2bfs9pkZmbi4cOHyMjIgFqtLrLNhQsXSpzlSQsWLMC8efMKbd+9ezdsbW2f9qUotSjeJU96YqhjKSKiOf78MwDm5htRrVoQ7ty5pd1Xq1YtBAYGwsrKCtu3b5cxJRVkqGPpWfLyFLC2Hoj0dHOsWPE7GjfOlDsSwTjHEhkmjiXSB32OowcPHpSoncEUbEFBQThz5gx+//13uaPozaxZsxAaGqp9nZmZCRcXF/Tv3x8qPTyZNS8vD1FRUejXrx8sLCzK3R+ZLkMeS7GxCqxfrwQALF8+FC+/PAi///47UlNT4eTkhF69ekGpVMqckjQMeSyVhLe3GXbsAHJynsfAgTxbKydjH0tkODiWSB8qYhxprr4rjkEUbNOmTcNvv/2GAwcOwNnZWbvd0dERubm5uHPnjs6ZrfT0dDg6OmrbPDmbo2bmxoJtnpzNMT09HSqVCjY2NlAqlVAqlUW2KdhHcVmeZGVlBSsrq0LbLSws9PoNQ9/9kekytLF08yYwdqx0SeTYscCkSeZQKMwLXeJMhsfQxlJJ9e8P7NgB7NmjxNtv8w8BhsBYxxIZHo4l0gd9jqOS9iPrFfpCCEybNg1btmzBvn370LhxY5397u7usLCwwN69e7XbLl68iMTERHh4eAAAPDw8cPr0aZ3ZHKOioqBSqeDm5qZtU7APTRtNH5aWlnB3d9dpk5+fj71792rblCQLEemPWg2MGQOkpgKtWwMrV0rTrhNVpBdekJYHDgD37smbhYiICJD5DFtQUBDWr1+P//u//0P16tW194LZ29vDxsYG9vb2CAwMRGhoKGrWrAmVSoXp06fDw8NDO8lH//794ebmhpdffhmLFi1CWloa3n//fQQFBWnPbk2ZMgVLly7FzJkzMXHiROzbtw+bNm3Ctm3btFlCQ0Mxfvx4dOnSBd26dUNYWBiysrIwYcIEbabishCR/nz8sTS9uq0tEBEB2NnJnYhMQYsWQNOmwJUr0vgbOlTuREREZOpkLdhWrFgBAPDy8tLZvmbNGrzyyisAgC+++AJmZmYYNmwYcnJy4Ovri+XLl2vbKpVK/Pbbb5g6dSo8PDxgZ2eH8ePHY/78+do2jRs3xrZt2zBjxgyEh4fD2dkZ//vf/+Dr66ttM2LECNy6dQuzZ89GWloaOnbsiJ07d+pMRFJcFiLSj717gblzpfUVK4B/T5YTVTiFAvDzA778Eti2jQUbERHJT9aCTQhRbBtra2ssW7YMy5Yte2qbRo0aFTs7nJeXF06ePPnMNtOmTcO0adPKlYWIyic1FRg9GhACCAwExo2TOxGZGk3Btn27NA55KS4REcmJT5khIoMhBPDKK9JkI+3aAV99JXciMkW9e0uX4KamAsX8nY+IiKjCsWAjIoPx9dfA7t2AtTWwaRNgYyN3IjJFVlaAZiLSArc6ExERyYIFGxEZhCtXgDfflNY//RRo1UrePGTaBg6UlizYiIhIbizYiEh2+fnAhAlAVpZ0Odr06XInIlPn5yctjxwBnnhEJxERUaViwUZEslu3DoiNle4bWrMGMON3JpJZgwaAu7t0X+Uvv8idhoiITBl/LSIiWajVasTExOCbbzYgJCQGgBpz5wKNG8scjOhf/v7SMjJS3hxERGTaWLARUaWLjIyEq6srvL298eqro5GZ6Q1zc1c0bMjfjMlwaJ7BtncvcPeuvFmIiMh0sWAjokoVGRmJgIAAJCcn62x/9CgFI0cGIJKnM8hAtG4tTX6Tlyc9k42IiEgOLNiIqNKo1WoEBwdDCFHEXmlbSEgI1Gp15QYjegrNWTb+HYGIiOTCgo2IKk1sbGyhM2sFCSGQlJSE2NjYSkxF9HSa+9h27AAePpQ3CxERmSYWbERUaVJTU/XajqiiubsDLi7SIyeiouROQ0REpogFGxFVGicnJ722I6poCgUwbJi0vnGjvFmIiMg0sWAjokrj6ekJZ2dnAIoi9ysUCri4uMDT07NygxE9w8iR0vL//g948EDeLEREZHpYsBFRpVEqlXjllfB/X+kWbQqF9DosLAxKpbKSkxE9Xbdu0vMBs7KA336TOw0REZkaFmxEVKl+/90fQASqVWugs93Z2RkRERHw18zyQGQgFIrHZ9k2bJA3CxERmR5zuQMQken44w8gJgawsPDHmTODkZAQi9TUVDg5OcHT05Nn1shgjRwJLFggPY/t7l3A3l7uREREZCpYsBFRpVm4UFqOHQs0aqREo0ZesuYhKql27QA3N+DcOWDLFuCVV+ROREREpoKXRBJRpbh0Cdi6Vbq8bOZMudMQlU7ByyLXr5c3CxERmRYWbERUKb76Slr6+QGtWsmbhagsRo+Wlnv2AM94/jsREZFesWAjogp39y6wdq20HhwsaxSiMmvaFHj+eUAI4Lvv5E5DRESmggUbEVW4b78F7t+X7gHq21fuNERlp7l3be1aqXAjIiKqaCzYiKhCqdXA0qXS+uuvS/cCERmr4cMBOzvg8mU1li6NwYYNGxATEwO1Wi13NCIiqqJYsBFRhdq+Hbh6FahRA3j5ZbnTEJVPtWpAt26RAFzx+uveGD16NLy9veHq6orIyEi54xERURXEgo2IKtTy5dIyMBCwtZU3C1F5RUZGIjo6AIDurCMpKSkICAhg0UZERHrHgo2IKszVq8CuXdL6lCnyZiEqL7VajeDgYACFb14T/97QFhISwssjiYhIr1iwEVGF+eYbaWKG/v2lGfaIjFlsbCySnzGfvxACSUlJiI2NrcRURERU1bFgI6IKkZsLrF4trfPsGlUFqampem1HRERUEizYiKhCREYCt24B9esDgwbJnYao/JycnPTajoiIqCRYsBFRhVi5UlpOngyYm8ubhUgfPD094ezsDMVTnk2hUCjg4uICT0/PSk5GRERVGQs2ItK78+eB/fsBMzNg0iS50xDph1KpRHh4OAAUUbRJr8PCwqBUKis5GRERVWUs2IhI7zRn1wYNApyd5c1CpE/+/v6IiIhAgwYNdLYrlc746acI+Pv7y5SMiIiqKhZsRKRXDx4A69ZJ61OnypuFqCL4+/vj2rVriI6Oxtq16+HgEA21OgFqNYs1IiLSP95ZQkR6tXEjcPcu0Lgx0K+f3GmIKoZSqYSXlxcAIDERmD0bWLwYGDkSeMotbkRERGXCM2xEpFcrVkjL//5XuoeNqKqbOhWwsQGOHwcOHJA7DRERVTX8dYqI9Ob4ceDoUcDCApg4Ue40RJWjdm1g/Hhp/fPP5c1CRERVDws2ItKbr7+WlgEBQJ068mYhqkwzZkiXQv72G/Dnn3KnISKiqoQFGxHpxd27wI8/SutTpsibhaiytWgBvPSStP7JJ/JmISKiqoUFGxHpxQ8/SDNEurkBfG4wmaJ335WWmzYBFy/Km4WIiKoOFmxEVG5CPH722pQpnCWPTFP79sDgwdL/hwUL5E5DRERVBQs2IioztVqNmJgYzJu3AWfOxMDGRo2XX5Y7FZF83ntPWv7wA3DlirxZiIioamDBRkRlEhkZCVdXV3h7e2PevNEAvKFQuGLfvki5oxHJpmtX4IUXALVaejYbERFRebFgI6JSi4yMREBAAJKTk3W2P3yYgoCAAERGsmgj0/Xxx9Jy/XogPl7WKEREVAWwYCOiUlGr1QgODoYQotA+zbaQkBCo1erKjkZkEDp1AkaOlNY1l0gSERGVFQs2IiqV2NjYQmfWChJCICkpCbGxsZWYisiwfPghYG4ObN8OHDggdxoiIjJmLNiIqFRSU1P12o6oKmrWDJg0SVqfNUuaOZKIiKgsWLARUak4OTnptR1RVfXBB4CNDXDoEPDbb3KnISIiY8WCjYhKxdPTE87OzgCKftiaQqGAi4sLPPn0bDJx9esDr78urb/7rjRzJBERUWmxYCOiUlEqlQgPD//3lW7Rpvj3idlhYWFQKpWVnIzI8Lz9NuDgAJw5I80aSUREVFos2Iio1J57zh9mZhEAGuhsd3Z2RkREBPz9/eUJRmRgatSQijZAukTy4UN58xARkfGRtWA7cOAABg0ahPr160OhUGDr1q06+4UQmD17NpycnGBjYwMfHx9cvnxZp83t27cxZswYqFQqODg4IDAwEPfv39dp8+eff8LT0xPW1tZwcXHBokWLCmXZvHkzWrVqBWtra7Rr1w7bt28vdRYiU7FyJZCf74+ePa8hOjoa69evR3R0NBISElisET3h9deBBg2A69eBJUvkTkNERMZG1oItKysLHTp0wLJly4rcv2jRInz55ZdYuXIlDh8+DDs7O/j6+iI7O1vbZsyYMTh79iyioqLw22+/4cCBA3j11Ve1+zMzM9G/f380atQIx48fx2effYa5c+di1apV2jaHDh3CqFGjEBgYiJMnT2LIkCEYMmQIzpw5U6osRKYgJwf4+mtpPThYCS8vL4waNQpeXl68DJKoCLa2gObvhB9/rMbmzTHYsGEDYmJi+LxCIiIqnjAQAMSWLVu0r/Pz84Wjo6P47LPPtNvu3LkjrKysxIYNG4QQQpw7d04AEEePHtW22bFjh1AoFCIlJUUIIcTy5ctFjRo1RE5OjrbN22+/LVq2bKl9/dJLLwk/Pz+dPN27dxf//e9/S5ylJO7evSsAiLt375b4Pc+Sm5srtm7dKnJzc/XSH5mu0oylb74RAhDC2VkIDj16Er8vFS0/X4iWLX8WgLMAoP1wdnYWP//8s9zxDBLHEukLxxLpQ0WMo5LWBuYy1orPlJCQgLS0NPj4+Gi32dvbo3v37oiLi8PIkSMRFxcHBwcHdOnSRdvGx8cHZmZmOHz4MIYOHYq4uDg8//zzsLS01Lbx9fXFwoULkZGRgRo1aiAuLg6hoaE6x/f19dVeolmSLEXJyclBTk6O9nVmZiYAIC8vD3l5eWX/4vxL04c++iLTVtKxpFYDCxeaA1Dg9dfVAPLB4UcF8ftS0bZs2YKLF0dCqtMeS0lJQUBAAH766ScMHTpUnnAGimOJ9IVjifShIsZRSfsy2IItLS0NAFCvXj2d7fXq1dPuS0tLQ926dXX2m5ubo2bNmjptGjduXKgPzb4aNWogLS2t2OMUl6UoCxYswLx58wpt3717N2xtbZ/6vtKKiorSW19k2oobS4cOOeGvv7qhWrVcuLhEYfv2R5WUjIwNvy89plar8dprr+HJYg2Q7o8GgKCgIJibm/Oy4iJwLJG+cCyRPuhzHD148KBE7Qy2YKsKZs2apXPmLjMzEy4uLujfvz9UKlW5+8/Ly0NUVBT69esHCwuLcvdHpqskY0kI4MMPpV8mX39diWHD+ldmRDIS/L5U2P79+/HPP/88s83ff/8NlUqF3r17V1Iqw8exRPrCsUT6UBHjSHP1XXEMtmBzdHQEAKSnp8PJyUm7PT09HR07dtS2uXnzps77Hj16hNu3b2vf7+joiPT0dJ02mtfFtSm4v7gsRbGysoKVlVWh7RYWFnr9hqHv/sh0PWss7d0LHD8O2NgAISFKWFjwTAA9Hb8vPXbr1q0St+PXrDCOJdIXjiXSB32Oo5L2Y7DPYWvcuDEcHR2xd+9e7bbMzEwcPnwYHh4eAAAPDw/cuXMHx48f17bZt28f8vPz0b17d22bAwcO6FwjGhUVhZYtW6JGjRraNgWPo2mjOU5JshBVdZ9+Ki0nTQLq1JE3C5ExKfiHPn20IyIi0yJrwXb//n3Ex8cjPj4egDS5R3x8PBITE6FQKBASEoKPPvoIv/zyC06fPo1x48ahfv36GDJkCACgdevWGDBgACZPnowjR47g4MGDmDZtGkaOHIn69esDAEaPHg1LS0sEBgbi7Nmz2LhxI8LDw3UuVQwODsbOnTuxePFiXLhwAXPnzsWxY8cwbdo0AChRFqKq7NgxYM8eQKkE3nhD7jRExsXT0xPOzs5QKBRF7lcoFHBxcYGnp2clJyMiImMg6yWRx44dg7e3t/a1pogaP3481q5di5kzZyIrKwuvvvoq7ty5g169emHnzp2wtrbWvufHH3/EtGnT0LdvX5iZmWHYsGH48ssvtfvt7e2xe/duBAUFwd3dHbVr18bs2bN1ntXWo0cPrF+/Hu+//z7effddNG/eHFu3bkXbtm21bUqShaiqWrhQWo4aBTRqJG8WImOjVCoRHh6OgIAAKBQK7UQjEgWEAMLCwjjhCBERFUnWgs3Ly+uJH1y6FAoF5s+fj/nz5z+1Tc2aNbF+/fpnHqd9+/aIjY19Zpvhw4dj+PDh5cpCVBVdvgz8/LO0PnOmvFmIjJW/vz8iIiIQHByM5OTkAnucAYTBwcFfrmhERGTgDPYeNiIyDJ99Js0Q+eKLQLt2cqchMl7+/v64du0aoqOjsX79ekRHR+O11xIA+CM4GHjEp2QQEVERDHaWSCKSX2IisHattP7227JGIaoSlEolvLy8tK/btwd++gk4cwZYvhx4/XX5shERkWHiGTYieqpPPgHy8oA+fYBeveROQ1T11Kwp/T8DgA8+AJ54wgwRERELNiIq2vXrwLffSutz58oahahKmzQJ6NwZyMwE3nlH7jRERGRoWLARUZE0Z9f69gU42zhRxVEqgWXLpPW1a4G4OFnjEBGRgWHBRkSF8OwaUeV67jlg4kRpfdo0QK2WNw8RERkOFmxEVMjHH0sz1vn48N41osqyYAHg4ACcOAF8843caYiIyFCwYCMiHdeuAWvWSOtz5sgahcik1K0LfPihtP7uu8Dff8ubh4iIDAMLNiLS8cknPLtGJJcpU6Sp/jMypKKNiIiIBRsRaSUkPD67xnvXiCqfufnjCUj+9z/g6FF58xARkfxYsBGZOLVajf379+PAgQN4/fVYPHqkRr9+QM+ecicjMk29egFjxwJCSBOQ5OfLnYiIiOTEgo3IhEVGRsLV1RX9+vXDkiVLsGtXXwCu6NMnUu5oRCZt0SKgenXgyJHHZ72JiMg0sWAjMlGRkZEICAhAcnLyE3tS8O67AYiMZNFGJBcnp8eXJb/zDnD7tqxxiIhIRizYiEyQWq1GcHAwhBBF7JW2hYSEQM2HQRHJZvp0oE0babbI2bPlTkNERHJhwUZkgmJjY4s4s/aYEAJJSUmIjY2txFREVJCFBfDVV9L6ihVAfLyscYiISCYs2IhMUGpqql7bEVHF8PYGRoyQJh557TU1oqNjsGHDBsTExPAMOBGRiWDBRmSCnJyc9NqOiCrO558DVlaRiItzRZ8+3hg9ejS8vb3h6urKe02JiEwACzYiE+Tp6QlnZ2cAiiL3KxQKuLi4wNPTs3KDEVEhR45EIicnAIDuZcwpKSkICOAEQUREVR0LNiITpFQq8cUX4f++0i3aFArpdVhYGJRKZSUnI6KCNBMEaSYDKkgzaRAnCCIiqtpYsBGZqOxsfwARUCga6Gx3dnZGREQE/P395QlGRFqcIIiIiMzlDkBEle/BA2DWLADwx4cfDkb37tHYsWMHXnjhBXh7e/PMGpGB4ARBRETEgo3IBC1ZAiQnA40aAW+8oYRS2RtZWVno3bs3izUiA8IJgoiIiJdEEpmY1FTg00+l9U8/Bayt5c1DRE+nmSBIc2/pkzhBEBFR1ceCjcjEfPABkJUFPPec9HwnIjJcSqUS4eHSBEGFizYFhOAEQUREVR0LNiITcuoU8O230vqSJcBT/mhPRAbE398fERERaNCgwRN7nGFmFoGWLTlBEBFRVcaCjchECAGEhkrLESMADw+5ExFRSfn7++PatWuIjo7G+vXrER0djUGDEpCf748pU4D8fLkTEhFRReGkI0QmYts2YN8+wNISWLBA7jREVFpKpRJeXl7a102aSP+nf/8dWLMGCAyULxsREVUcnmEjMgG5ucCbb0rrISFA48ayxiEiPWjYEJg3T1p/6y3g5k158xARUcVgwUZkAhYvBi5eBOrUAd59V+40RKQvwcFAhw5ARsbjP8oQEVHVwoKNqIq7ehWYP19aX7IEsLeXNw8R6Y+5ObBqlTSB0PffS5dIEhFR1cKCjagKEwIICgKys4E+fYAxY+RORET61q0bMHWqtD51qvT/nYiIqg4WbERV2MaNwM6d0kQjy5dzGn+iquqTTwBHR+DSJeDTT+VOQ0RE+sSCjaiKSkuTzq4BwKxZQMuW8uYhoopjbw/8+3xtfPKJ9MxFIiKqGliwEVVBQgCTJwO3bwOdOnGiESJTMHw4MGQIkJcHjB8vzQ5LRETGjwUbURWhVqsRExODDRs24J13YvDbb2pYWgLr1kmXRBJR1aZQACtXArVqSWfYPvpI7kRERKQPfHA2URUQGRmJ4OBgJCcnF9jqjOHDw9Gunb9suYioctWrB6xYAfx/e3ceFlW9/wH8fRg22ReVbVhUFHdcQa4hiybXilTCvF1zKX/3VkJCLv3y6VeYZqBeS1GLnnpSb1fkFi6Vj5qkM6hdJcRruRekZgJusZssw/f3BzE6sg0wemb0/Xoenjzfc77nfObMp/ny4Zz5nqefbrg1csIEICRE7qiIiKgzeIWNyMRt27YNsbGxdxVrAHAZ6emx2LZtmyxxEZE8pkwBnnkG0Gga/ltSIndERETUGSzYiEyYRqNBQkIChBDNrG1oS0xMhEajub+BEZGs0tKAnj2BixeB//kfoK7u9i3TarWanwlERCaEBRuRCTt48GAzV9ZuE0Lg0qVLOHjw4H2Miojk5uDQ8FgPC4uGq/DduvkhIiICf/3rXxEREQE/Pz9efSciMhEs2IhMWFFRkUG3I6IHx4gRwLPPbgMQi9JS3T/sXL58GbGxvGWaiMgUsGAjMmEeHh4G3Y6IHhwajQZZWQlovD36To23UfOWaSIi48eCjciEHTkSCkAJQGp2vSRJ8Pb2Rmho6H2Ni4jkx1umiYgeDCzYiExQbS2QkAAsWqQAsAZAQ3F2p8bl1atXQ6FQ3O8QiUhmvGWaiOjBwIKNyMT8+isQHg6kpjYsr1gRg61bM+Hl5aWznVKpRGZmJmJi+Bw2oocRb5kmInow8MHZREZEo9Hg4MGDKCoqgoeHB0JDQ7VXx4QA/vUv4JVXgBs3GmaB27gRmDwZAGIwceLEFvsS0cMnNDQUSqUSly9fbuHRHxLc3JS8ZZqIyMixYCMyEtu2bUNCQoLOd06USiXWrFmDvn1jkJgIZGU1tA8ZAmRmAr163e6vUCgQHh5+P0MmIiOmUCiwZs0axMbGQpKku4q2hlumS0tXY9s2BaZMkSdGIiJqG2+JJDIC27ZtQ2xsbJMJAi5fvoynnorFwIHbkJUFWFkB77wD5OToFmtERM2JiYlBZmbTW6a9vJQYPDgT1dUxePpp4LnngIqKpv01Gj5wm4hIbizYiGSm0WiQkJDQ7C1LjW1CJGLyZA1OnAAWLQIsLe93lERkqmJiYnDhwgWoVCqkp6dDpVLh4sXzOHo0Bv/3f4CZWcPt1QMHAp991nD7NdDwhyQ/Pz5wm4hIbrwl8iHU2vekqPPae37bmnq74RlKlzB37kH07h1u6HCJ6CHQ3C3TCgWwdCkwfjwwfTpw8SIwdSqwdi0QGbkNS5fGNvlDUuMDt/WZ0IhjDRGRYbBge8i09j0pfWYT7OgA3JmB25T6tuf8CgHk5wMbN3LqbSKST2gocPo0sHIlsHw5cOiQBocOtfzAbUmSkJiYiIkTJ7b4mWiIsSY7OxsHDhyAra0tIiIijHqsMTVynCc5x/KHIZdM6XclU4xXdoLaZd26dcLX11dYWVmJoKAgkZOTo3ffsrIyAUCUlZUZJJaamhqxY8cOUVNTo9f2W7duFZIkCTSMwtofSZKEJEli69atbfZXKpU6fZVK5T3rZ2p99Tm/xcVCbN8uxIsvCtGjhxANZZuqSZ/mflQqVZtxd1R7c4moJcwl0/bLL0LExHTuM+lhG2tMjRznyZTGcjnj7Sie3/vz3tyL8U3f2oAFWztkZGQIS0tL8cknn4hTp06Jv/3tb8LJyUlcuXJFr/5yFmx1dXVNkvTugdTb21vU1dU127+jA3BnBm5T6tvW+QUkYWbmLYC6P4q0hh8LCyHCw+uEo6Oy2WPq894YAn/JJkNhLpm+9PR0vQq2mJh0sWmTEIcOCVFUJER9/cM31pgaOc6TKY3lcsbbUTy/9++9kbNgk4Ro9uEs1Izg4GCMHDkS69atAwDU19fD29sbL7/8Ml577bU2+5eXl8PR0RFlZWVwcHDodDy1tbXYtWsXHnvsMVhYWLS6rVqtRkRERJv7fPppFXr1CoelZcPEFhYWgCRp8Pbbfigra+l7VhKcnZVISTkPc3MFJKnhS+z19RrMn++HkpLW+yUnn4ck3X7WmBANfV9/3Q+lpS33dXJSIimp+b5Ll7Yer6OjEv/7v7p9gYZL5StX+qG8vOW+dnZKzJp1HhqNAhUVDTOrXbqkxrFjbZ9fQIW+fcMxbhwQFdXwAGw7u9uzRDbEcvt/SUlqmHr7Xj8Auz25RNQa5pLp03e8AFQAwrVL1taAra0aN2603XfWrIbPwsaxxswMABo+91sbM1xclFi9+vZYI0mAEBrEx/vhxo2W+7m6KrF+/fkmtz5pNBrExXWsrymRpIbXOmdO26/1/febP08d6SvHMTvS94+hFhqNBi+91Ha/Dz5o/pgd7dtRcsXb0b7GGq8kSVAqlTh/vvX35l6Mb/rWBizY9FRTUwMbGxtkZmZi0qRJ2vaZM2eitLQUX3zxRZM+1dXVqK6u1i6Xl5fD29sb169fN1jBlpWVhUcffbTNxMnIyMCMGTP02Gs6gGfualMDaP/g3fF+pth3C4C/ttnro4/+iZkz/9Lsuu3bt2PevHm4fPmytk2pVGLVqlWY3PB07HumPblE1BrmkunTaDTw9/dHYWFhiw/cdnT0wuTJP+PiRQV+/lnCpUtAfb0EfT8LH4yxxtSocf/PkxzH7ExfOY7ZGZ05phx95Tim/n2zsrIQFhbW4vp7Mb6Vl5eja9eubRZsnHRET9evX4dGo4Gbm5tOu5ubG86ePdtsn+TkZLz11ltN2vfu3QsbGxuDxZbV+DTlVly8eFGvfY0erYGzcwE0GjPU1UmoqzNDcfFJnDnTdt+ePU/DxaXvH1e6JPz221lcuNB2v169TsPVNUD7Fy5JErh+/TTy89vuGxBwEt27++u0Xbt2Ei28JTr69z8Bd/eeaLhC3qC4+AecOtV236CgY+jRwx1dutShS5c6XLtWjszMtvsVF1/Erl27ml1nZWWF1NRUnD59GiUlJXB2dkb//v2hUCha7GNo+uQSkT6YS6bt2WefxfLly1tYK/Dii9MQEnL7c6m2VsKNG13w/fdX8MEHbe9/5EjA3v4X1Naaoa7ODEIA166dRkFB2329vc/ByWmAdqwpK/sRrU60+wcvrx/h6DhQp62s7Efc8TeydvU1NZ15rR3tK8cx29vXwWGQTr/Cwrb7eXr+CEfHQTptnenbUXLF29G+xh7v7t27UVVV1eZ2hhzfbt68qdd2LNjuoUWLFmHevHna5cYrbOPHj7/vV9iioqKQlpbW4l9MJUmCl5cXvvkmtsnl4Ozsvnj00bbj+fDDPggLc72jn79e/dLS+iAsrOtdx+yjV9916/oiLEy3iNY33jVr+iEszOOuvv316rts2WCEhd1+crVG0xeHDy9t8/wuWLCgzVshoqOj2w7AwHhVhAyFufRgeOyxxzBs2LB2X/XXaELx5Zf/aPOz8MCByc2MNfp97n/ySS+EhTnd0a+nXv02buyJsDDHu47Z8b6mRo7zJNd7076+t38f07ffpk26/Trbt6PkirejfY093gkTJshyhU0vBvvW3AOuurpaKBQKsX37dp32GTNmiCeffFKvfRjLLJF3f+myrS9cNn6JvL2TYnS0n6n27ej5NQacKIIMhbn0YKmrqxMqlUqkp6cLlUql1+RHD8tYY2rkOE+mNpabWi7x/N7f94azRJqIoKAgER8fr13WaDTCy8tLJCcn69Vf7oJNiOanNPX29tZrCtaODMCdKWJMtW9Hzq/c+Es2GQpziYR4eMYaUyPHeTK1sdzUconn9/69NyzYTERGRoawsrISGzduFKdPnxZ///vfhZOTkyguLtarvzEUbEJ07C+mQnRuAO5oEWOKfTt6fuXEX7LJUJhL1OhhGWtMjRznydTGclPLJZ7f+/PecFp/E7Ju3TqsXLkSxcXFGDJkCFJTUxEcHKxXXzmn9TeUh+mJ9p3pa2o4FTsZCnOJDEGj0UClUmH37t2YMGECIiIijHqsMTVynCc5x/KHIZdM7XclU4sX4LT+D40HoWCjBxNziQyFuUSGwlwiQ2EukSHIWbCZGeRoREREREREZHAs2IiIiIiIiIwUCzYiIiIiIiIjxYKNiIiIiIjISLFgIyIiIiIiMlIs2IiIiIiIiIwUCzYiIiIiIiIjxYKNiIiIiIjISLFgIyIiIiIiMlIs2IiIiIiIiIwUCzYiIiIiIiIjxYKNiIiIiIjISLFgIyIiIiIiMlLmcgfwMBFCAADKy8sNsr/a2lrcvHkT5eXlsLCwMMg+6eHEXCJDYS6RoTCXyFCYS2QI9yKPGmuCxhqhJSzY7qOKigoAgLe3t8yREBERERGRMaioqICjo2OL6yXRVklHBlNfX4/CwkLY29tDkqRO76+8vBze3t64dOkSHBwcDBAhPayYS2QozCUyFOYSGQpziQzhXuSREAIVFRXw9PSEmVnL31TjFbb7yMzMDEql0uD7dXBw4AcQGQRziQyFuUSGwlwiQ2EukSEYOo9au7LWiJOOEBERERERGSkWbEREREREREaKBZsJs7KyQlJSEqysrOQOhUwcc4kMhblEhsJcIkNhLpEhyJlHnHSEiIiIiIjISPEKGxERERERkZFiwUZERERERGSkWLAREREREREZKRZsRERERERERooFmwlbv349/Pz8YG1tjeDgYHz33Xdyh0RG7sCBA4iOjoanpyckScKOHTt01gsh8Oabb8LDwwNdunTBuHHj8NNPP8kTLBmt5ORkjBw5Evb29ujevTsmTZqEc+fO6Wxz69YtxMXFwdXVFXZ2dnjqqadw5coVmSImY/XBBx9g8ODB2gfRhoSEYPfu3dr1zCPqqJSUFEiShMTERG0b84n0sXjxYkiSpPPTt29f7Xo58ogFm4n697//jXnz5iEpKQnHjh1DYGAgoqKicPXqVblDIyNWVVWFwMBArF+/vtn1K1asQGpqKtLS0pCTkwNbW1tERUXh1q1b9zlSMmbZ2dmIi4vDkSNHkJWVhdraWowfPx5VVVXabV555RV89dVX+Pzzz5GdnY3CwkLExMTIGDUZI6VSiZSUFOTl5eHo0aOIjIzExIkTcerUKQDMI+qY3NxcfPjhhxg8eLBOO/OJ9DVgwAAUFRVpfw4dOqRdJ0seCTJJQUFBIi4uTrus0WiEp6enSE5OljEqMiUAxPbt27XL9fX1wt3dXaxcuVLbVlpaKqysrMSWLVtkiJBMxdWrVwUAkZ2dLYRoyBsLCwvx+eefa7c5c+aMACAOHz4sV5hkIpydncXHH3/MPKIOqaioEL179xZZWVkiLCxMJCQkCCH4uUT6S0pKEoGBgc2ukyuPeIXNBNXU1CAvLw/jxo3TtpmZmWHcuHE4fPiwjJGRKTt//jyKi4t18srR0RHBwcHMK2pVWVkZAMDFxQUAkJeXh9raWp1c6tu3L3x8fJhL1CKNRoOMjAxUVVUhJCSEeUQdEhcXh8cff1wnbwB+LlH7/PTTT/D09ETPnj0xbdo0/PLLLwDkyyPze7ZnumeuX78OjUYDNzc3nXY3NzecPXtWpqjI1BUXFwNAs3nVuI7obvX19UhMTMTo0aMxcOBAAA25ZGlpCScnJ51tmUvUnBMnTiAkJAS3bt2CnZ0dtm/fjv79++P48ePMI2qXjIwMHDt2DLm5uU3W8XOJ9BUcHIyNGzciICAARUVFeOuttxAaGoqTJ0/Klkcs2IiIqMPi4uJw8uRJnfv7idojICAAx48fR1lZGTIzMzFz5kxkZ2fLHRaZmEuXLiEhIQFZWVmwtraWOxwyYRMmTND+e/DgwQgODoavry8+++wzdOnSRZaYeEukCeratSsUCkWTGWmuXLkCd3d3maIiU9eYO8wr0ld8fDx27twJlUoFpVKpbXd3d0dNTQ1KS0t1tmcuUXMsLS3h7++P4cOHIzk5GYGBgVizZg3ziNolLy8PV69exbBhw2Bubg5zc3NkZ2cjNTUV5ubmcHNzYz5Rhzg5OaFPnz7Iz8+X7XOJBZsJsrS0xPDhw7Fv3z5tW319Pfbt24eQkBAZIyNT1qNHD7i7u+vkVXl5OXJycphXpEMIgfj4eGzfvh379+9Hjx49dNYPHz4cFhYWOrl07tw5/PLLL8wlalN9fT2qq6uZR9QuY8eOxYkTJ3D8+HHtz4gRIzBt2jTtv5lP1BGVlZUoKCiAh4eHbJ9LvCXSRM2bNw8zZ87EiBEjEBQUhNWrV6OqqgrPPfec3KGREausrER+fr52+fz58zh+/DhcXFzg4+ODxMREvP322+jduzd69OiBN954A56enpg0aZJ8QZPRiYuLQ3p6Or744gvY29tr79t3dHREly5d4OjoiNmzZ2PevHlwcXGBg4MDXn75ZYSEhGDUqFEyR0/GZNGiRZgwYQJ8fHxQUVGB9PR0qNVqfP3118wjahd7e3vt92gb2drawtXVVdvOfCJ9LFiwANHR0fD19UVhYSGSkpKgUCjwzDPPyPe5dM/mn6R7bu3atcLHx0dYWlqKoKAgceTIEblDIiOnUqkEgCY/M2fOFEI0TO3/xhtvCDc3N2FlZSXGjh0rzp07J2/QZHSayyEAYsOGDdptfv/9dzFnzhzh7OwsbGxsxOTJk0VRUZF8QZNRev7554Wvr6+wtLQU3bp1E2PHjhV79+7VrmceUWfcOa2/EMwn0s/UqVOFh4eHsLS0FF5eXmLq1KkiPz9fu16OPJKEEOLelYNERERERETUUfwOGxERERERkZFiwUZERERERGSkWLAREREREREZKRZsRERERERERooFGxERERERkZFiwUZERERERGSkWLAREREREREZKRZsRERERERERooFGxERGY0LFy5AkiQcP35c7lC0zp49i1GjRsHa2hpDhgyRO5xmhYeHIzExsUN9N27cCCcnJ4PGQ0REhsOCjYiItGbNmgVJkpCSkqLTvmPHDkiSJFNU8kpKSoKtrS3OnTuHffv2NVmflpYGe3t71NXVadsqKythYWGB8PBwnW3VajUkSUJBQcG9DltvU6dOxY8//tipfTS+rgEDBkCj0eisc3JywsaNGzu1fyKihxkLNiIi0mFtbY3ly5ejpKRE7lAMpqampsN9CwoK8Mgjj8DX1xeurq5N1kdERKCyshJHjx7Vth08eBDu7u7IycnBrVu3tO0qlQo+Pj7o1atXu+MQQugUhYbSpUsXdO/e3SD7+vnnn/HPf/7TIPsiIqIGLNiIiEjHuHHj4O7ujuTk5Ba3Wbx4cZPbA1evXg0/Pz/t8qxZszBp0iS88847cHNzg5OTE5YsWYK6ujosXLgQLi4uUCqV2LBhQ5P9nz17Fn/6059gbW2NgQMHIjs7W2f9yZMnMWHCBNjZ2cHNzQ3Tp0/H9evXtevDw8MRHx+PxMREdO3aFVFRUc2+jvr6eixZsgRKpRJWVlYYMmQI9uzZo10vSRLy8vKwZMkSSJKExYsXN9lHQEAAPDw8oFartW1qtRoTJ05Ejx49cOTIEZ32iIgIAEB1dTXmzp2L7t27w9raGo888ghyc3N1tpUkCbt378bw4cNhZWWFQ4cOoaqqCjNmzICdnR08PDywatWqJjG9//776N27N6ytreHm5obY2NhmXz/Q9JbIxvf2008/hZ+fHxwdHfGXv/wFFRUVLe6j0csvv4ykpCRUV1e3uM27776LQYMGwdbWFt7e3pgzZw4qKyubxLNz504EBATAxsYGsbGxuHnzJjZt2gQ/Pz84Oztj7ty5OlfzqqursWDBAnh5ecHW1hbBwcE67wkRkaliwUZERDoUCgXeeecdrF27Fr/++mun9rV//34UFhbiwIEDePfdd5GUlIQnnngCzs7OyMnJwYsvvogXXnihyXEWLlyI+fPn47///S9CQkIQHR2NGzduAABKS0sRGRmJoUOH4ujRo9izZw+uXLmCp59+WmcfmzZtgqWlJb799lukpaU1G9+aNWuwatUq/OMf/8APP/yAqKgoPPnkk/jpp58AAEVFRRgwYADmz5+PoqIiLFiwoNn9REREQKVSaZdVKhXCw8MRFhambf/999+Rk5OjLdheffVVbN26FZs2bcKxY8fg7++PqKgo/Pbbbzr7fu2115CSkoIzZ85g8ODBWLhwIbKzs/HFF19g7969UKvVOHbsmHb7o0ePYu7cuViyZAnOnTuHPXv2YMyYMW2+V3cqKCjAjh07sHPnTuzcuRPZ2dlNbpNtTmJiIurq6rB27doWtzEzM0NqaipOnTqFTZs2Yf/+/Xj11Vd1trl58yZSU1ORkZGBPXv2QK1WY/Lkydi1axd27dqFTz/9FB9++CEyMzO1feLj43H48GFkZGTghx9+wJQpU/DnP/9Z+14SEZksQURE9IeZM2eKiRMnCiGEGDVqlHj++eeFEEJs375d3DlkJCUlicDAQJ2+7733nvD19dXZl6+vr9BoNNq2gIAAERoaql2uq6sTtra2YsuWLUIIIc6fPy8AiJSUFO02tbW1QqlUiuXLlwshhFi6dKkYP368zrEvXbokAIhz584JIYQICwsTQ4cObfP1enp6imXLlum0jRw5UsyZM0e7HBgYKJKSklrdz0cffSRsbW1FbW2tKC8vF+bm5uLq1asiPT1djBkzRgghxL59+wQAcfHiRVFZWSksLCzE5s2btfuoqakRnp6eYsWKFUIIIVQqlQAgduzYod2moqJCWFpais8++0zbduPGDdGlSxeRkJAghBBi69atwsHBQZSXl7f5+oUQYsOGDcLR0VG7nJSUJGxsbHT6L1y4UAQHB7e4j8ZYS0pKRFpamnBxcRGlpaVCCCEcHR3Fhg0bWuz7+eefC1dXV514AIj8/Hxt2wsvvCBsbGxERUWFti0qKkq88MILQgghLl68KBQKhbh8+bLOvseOHSsWLVrU+gkgIjJyvMJGRETNWr58OTZt2oQzZ850eB8DBgyAmdntocbNzQ2DBg3SLisUCri6uuLq1as6/UJCQrT/Njc3x4gRI7RxfP/991CpVLCzs9P+9O3bFwB0JvMYPnx4q7GVl5ejsLAQo0eP1mkfPXp0u19zeHg4qqqqkJubi4MHD6JPnz7o1q0bwsLCtN9jU6vV6NmzJ3x8fFBQUIDa2lqdY1tYWCAoKKjJsUeMGKH9d0FBAWpqahAcHKxtc3FxQUBAgHb50Ucfha+vL3r27Inp06dj8+bNuHnzZrtej5+fH+zt7bXLHh4eTd6jlsyePRuurq5Yvnx5s+u/+eYbjB07Fl5eXrC3t8f06dNx48YNnRhtbGx0vufn5uYGPz8/2NnZ6bQ1xnTixAloNBr06dNHJy+ys7ONaoIXIqKOMJc7ACIiMk5jxoxBVFQUFi1ahFmzZumsMzMzgxBCp622trbJPiwsLHSWJUlqtq2+vl7vuCorKxEdHd1sQeDh4aH9t62trd777Cx/f38olUqoVCqUlJQgLCwMAODp6Qlvb2/85z//gUqlQmRkZLv33d7XYW9vj2PHjkGtVmPv3r148803sXjxYuTm5uo9fX9n3iNzc3MsW7YMs2bNQnx8vM66Cxcu4IknnsBLL72EZcuWwcXFBYcOHcLs2bNRU1MDGxubFo/fWkyVlZVQKBTIy8uDQqHQ2e7OIo+IyBTxChsREbUoJSUFX331FQ4fPqzT3q1bNxQXF+sUbYZ8dtqdE3XU1dUhLy8P/fr1AwAMGzYMp06dgp+fH/z9/XV+2lPcODg4wNPTE99++61O+7fffov+/fu3O+aIiAio1Wqo1Wqd6fzHjBmD3bt347vvvtN+f61Xr17a79c1qq2tRW5ubqvH7tWrFywsLJCTk6NtKykpaTItv7m5OcaNG4cVK1bghx9+wIULF7B///52v6aOmjJlCgYMGIC33npLpz0vLw/19fVYtWoVRo0ahT59+qCwsLDTxxs6dCg0Gg2uXr3aJCfc3d07vX8iIjnxChsREbVo0KBBmDZtGlJTU3Xaw8PDce3aNaxYsQKxsbHYs2cPdu/eDQcHB4Mcd/369ejduzf69euH9957DyUlJXj++ecBAHFxcfjoo4/wzDPP4NVXX4WLiwvy8/ORkZGBjz/+uMkVltYsXLgQSUlJ6NWrF4YMGYINGzbg+PHj2Lx5c7tjjoiIQFxcHGpra7VX2AAgLCwM8fHxqKmp0RZstra2eOmll7SzZfr4+GDFihW4efMmZs+e3eIx7OzsMHv2bCxcuBCurq7o3r07Xn/9dZ3bTnfu3Imff/4ZY8aMgbOzM3bt2oX6+nqd2ybvh5SUlCazc/r7+6O2thZr165FdHR0qxPCtEefPn0wbdo0zJgxA6tWrcLQoUNx7do17Nu3D4MHD8bjjz/e6WMQEcmFV9iIiKhVS5YsaXI7XL9+/fD+++9j/fr1CAwMxHfffdfiDIodkZKSgpSUFAQGBuLQoUP48ssv0bVrVwDQXhXTaDQYP348Bg0ahMTERDg5OekULvqYO3cu5s2bh/nz52PQoEHYs2cPvvzyS/Tu3bvdMUdEROD333+Hv78/3NzctO1hYWGoqKjQTv9/52t86qmnMH36dAwbNgz5+fn4+uuv4ezs3OpxVq5cidDQUERHR2PcuHF45JFHdL6v5+TkhG3btiEyMhL9+vVDWloatmzZggEDBrT7NXVGZGQkIiMjdZ4dFxgYiHfffRfLly/HwIEDsXnz5lYfH9EeGzZswIwZMzB//nwEBARg0qRJyM3NhY+Pj0H2T0QkF0nc/SUEIiIiIiIiMgq8wkZERERERGSkWLAREREREREZKRZsRERERERERooFGxERERERkZFiwUZERERERGSkWLAREREREREZKRZsRERERERERooFGxERERERkZFiwUZERERERGSkWLAREREREREZKRZsRERERERERur/AY0GRStjiyvqAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import numpy as np\n",
"from scipy.interpolate import make_interp_spline\n",
"\n",
"# Step 1: Count frequencies\n",
"word_counts = df[\"length\"].value_counts().sort_index()\n",
"x = word_counts.index.values # distinct word counts\n",
"y = word_counts.values # their frequencies\n",
"\n",
"# Step 2: Create smoother X values (interpolation)\n",
"x_smooth = np.linspace(x.min(), x.max(), 300)\n",
"spline = make_interp_spline(x, y, k=3) # cubic spline\n",
"y_smooth = spline(x_smooth)\n",
"\n",
"# Step 3: Plot\n",
"plt.figure(figsize=(10, 6))\n",
"plt.plot(x_smooth, y_smooth, color='blue', label='Smoothed Curve')\n",
"plt.scatter(x, y, color='black', zorder=5, label='Actual Counts')\n",
"plt.title(\"Smoothed Word Count Distribution\")\n",
"plt.xlabel(\"Number of Words in Name\")\n",
"plt.ylabel(\"Frequency\")\n",
"plt.grid(True)\n",
"plt.legend()\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "af313d893f31698f",
"metadata": {
"ExecuteTime": {
"end_time": "2025-07-08T16:08:48.468235Z",
"start_time": "2025-07-08T16:08:47.627659Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
">> Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n",
">> Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n"
]
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gender_by_year = df.groupby(['year', 'sex']).size().reset_index(name='count')\n",
"\n",
"plt.figure(figsize=(12, 6))\n",
"sns.barplot(data=gender_by_year, x='year', y='count', hue='sex')\n",
"plt.title('Gender Count by Year')\n",
"plt.xlabel('Year')\n",
"plt.ylabel('Count')\n",
"plt.xticks(rotation=45)\n",
"plt.legend(title='Gender')\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "93232202305056a3",
"metadata": {
"ExecuteTime": {
"end_time": "2025-07-08T16:09:45.349954Z",
"start_time": "2025-07-08T16:09:45.086546Z"
}
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x800 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sex_counts = df['sex'].value_counts()\n",
"\n",
"plt.figure(figsize=(8, 8))\n",
"plt.pie(sex_counts, labels=sex_counts.index, autopct='%1.1f%%', startangle=90, colors=['lightblue', 'lightpink'])\n",
"plt.title('Distribution of Sex')\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "f7b8afb3bc565875",
"metadata": {
"ExecuteTime": {
"end_time": "2025-07-08T16:13:37.061494Z",
"start_time": "2025-07-08T16:13:36.764013Z"
}
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(10, 6))\n",
"plt.hist(df['words'], bins=30, color='skyblue', edgecolor='black')\n",
"plt.title('Histogram of Word Counts')\n",
"plt.xlabel('Word Counts')\n",
"plt.ylabel('Frequency')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "f5c322d32b2d60fa",
"metadata": {
"ExecuteTime": {
"end_time": "2025-07-08T16:13:42.022402Z",
"start_time": "2025-07-08T16:13:41.781236Z"
}
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(10, 6))\n",
"plt.hist(df['length'], bins=30, color='lightgreen', edgecolor='black')\n",
"plt.title('Histogram of Name Lengths')\n",
"plt.xlabel('Name Lengths')\n",
"plt.ylabel('Frequency')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "cc849ca9d9d43ae3",
"metadata": {
"ExecuteTime": {
"end_time": "2025-07-08T16:14:08.587040Z",
"start_time": "2025-07-08T16:13:47.209322Z"
}
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(8, 6))\n",
"sns.boxplot(data=df[['words', 'length']])\n",
"plt.title('Boxplots of Word Counts and Name Lengths')\n",
"plt.ylabel('Values')\n",
"plt.xticks(ticks=[0, 1], labels=['Words', 'Length'])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "f27c59dd8b8eaf4b",
"metadata": {
"ExecuteTime": {
"end_time": "2025-07-08T18:18:51.166573Z",
"start_time": "2025-07-08T18:18:42.805191Z"
}
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(10, 6))\n",
"sns.scatterplot(data=df, x='length', y='words', alpha=0.7)\n",
"plt.title('Scatterplot: Name Length vs Word Counts')\n",
"plt.xlabel('Name Length')\n",
"plt.ylabel('Word Counts')\n",
"plt.grid(True)\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"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": "3.11.11"
}
},
"nbformat": 4,
"nbformat_minor": 5
}