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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 15, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import seaborn as sns\n", | |
"import pandas as pd\n", | |
"import matplotlib.pyplot as plt\n", | |
"import numpy as np\n", | |
"from scipy.interpolate import make_interp_spline, BSpline" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 16, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"tips = sns.load_dataset(\"tips\")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 17, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"<class 'pandas.core.frame.DataFrame'>\n", | |
"RangeIndex: 244 entries, 0 to 243\n", | |
"Data columns (total 7 columns):\n", | |
" # Column Non-Null Count Dtype \n", | |
"--- ------ -------------- ----- \n", | |
" 0 total_bill 244 non-null float64 \n", | |
" 1 tip 244 non-null float64 \n", | |
" 2 sex 244 non-null category\n", | |
" 3 smoker 244 non-null category\n", | |
" 4 day 244 non-null category\n", | |
" 5 time 244 non-null category\n", | |
" 6 size 244 non-null int64 \n", | |
"dtypes: category(4), float64(2), int64(1)\n", | |
"memory usage: 7.3 KB\n" | |
] | |
} | |
], | |
"source": [ | |
"tips.info()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 18, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
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" }\n", | |
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" .dataframe thead th {\n", | |
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" }\n", | |
"</style>\n", | |
"<table border=\"1\" class=\"dataframe\">\n", | |
" <thead>\n", | |
" <tr style=\"text-align: right;\">\n", | |
" <th></th>\n", | |
" <th>bin5</th>\n", | |
" <th>tip</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>0</th>\n", | |
" <td>(3.022, 12.618]</td>\n", | |
" <td>49</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1</th>\n", | |
" <td>(12.618, 22.166]</td>\n", | |
" <td>119</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td>(22.166, 31.714]</td>\n", | |
" <td>50</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>3</th>\n", | |
" <td>(31.714, 41.262]</td>\n", | |
" <td>19</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>4</th>\n", | |
" <td>(41.262, 50.81]</td>\n", | |
" <td>7</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" bin5 tip\n", | |
"0 (3.022, 12.618] 49\n", | |
"1 (12.618, 22.166] 119\n", | |
"2 (22.166, 31.714] 50\n", | |
"3 (31.714, 41.262] 19\n", | |
"4 (41.262, 50.81] 7" | |
] | |
}, | |
"execution_count": 18, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"tips[\"bin5\"] = pd.cut(tips.total_bill, 5)\n", | |
"bin_counts = tips.groupby(\"bin5\").tip.agg(\"count\").reset_index()\n", | |
"bin_counts" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 19, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div>\n", | |
"<style scoped>\n", | |
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"\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>bin5</th>\n", | |
" <th>tip</th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" <tr>\n", | |
" <th>0</th>\n", | |
" <td>7.820</td>\n", | |
" <td>49</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>1</th>\n", | |
" <td>17.392</td>\n", | |
" <td>119</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>2</th>\n", | |
" <td>26.940</td>\n", | |
" <td>50</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>3</th>\n", | |
" <td>36.488</td>\n", | |
" <td>19</td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th>4</th>\n", | |
" <td>46.036</td>\n", | |
" <td>7</td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
"</table>\n", | |
"</div>" | |
], | |
"text/plain": [ | |
" bin5 tip\n", | |
"0 7.820 49\n", | |
"1 17.392 119\n", | |
"2 26.940 50\n", | |
"3 36.488 19\n", | |
"4 46.036 7" | |
] | |
}, | |
"execution_count": 19, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"bin_counts.bin5.cat.categories = [g.mid for g in bin_counts.bin5.cat.categories]\n", | |
"bin_counts" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 20, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"xnew = np.linspace(bin_counts.bin5.min(), bin_counts.bin5.max(), 300)\n", | |
"spl = make_interp_spline(bin_counts.bin5, bin_counts.tip, k=3) # type: BSpline\n", | |
"smooth = spl(xnew)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 23, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
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njtFS8p7KSy7BVFysRlEKxSjFkCo+KeUPpZQeKeUcKeUlUsqoETqGG5lIEHz1NYoWnkpy8KjoC3NpKRUXX0T7Sy8R3bbNaDkKhWKYUU4Sw0h440b09naKF55mtJSCofKyyxBOJw2/vt9oKQqFYphRAWoY6XhlHVgsFH3mZKOlFAyWigoqli6l7a9/JbZrl9FyFMPIWn+AZavWc8pttSxbtZ61ftUvbLShAtQw0rFuHa4TT8RcUmK0lIKi6orLEVYrDfePmqnKUc9af4Cbn9tEoD1CudNKoD3Czc9tUkFqlKEC1DARP3CA6ObNFJ+20GgpBYelupryCy6g9bnniNXVGS1HMQzcv24HVrPAZbMgRPK71Sy4f90Oo6UphhEVoIaJjnXrACheqALUYKi6+iqEyUTjb1YbLUUxDOxpDuG0dm0x5LSaqWsOGaRIYQQqQA0THevWYZkwHttRRxktpSCxjh1L2f/7Gi3PPkt8/36j5ShyzOQKF+F4V/eccFxjUoXLIEUKI1ABahiQsRih19+g+NSFqrz8CKi6+hrQdZoeeshoKYocs2JhDXFNEoolkDL5Pa5JViysMVqaYhhRAWoYCG3ciB4KUXzqKUZLKWhskyZSdtaXaX7qaRLNzUbLUeSQRR43t5x9DO4SB63hOO4SB7ecfQyLPO7+d1aMGCxGCxgNhNavB5MJ1/ycdEUeVVRedRWtf3qO5t8/RvW/fNtoOYocssjjVgFplKNGUMNA8PU3cMyZg7m01GgpBY9j1iyKTz+d5kceQQ+pCXOFYiSjAlSO0To6CH/4IUUnq8W5Q0XVNdegtbbS8swzRktRKBQ5RAWoHBN66y3QNIpOXmC0lBGD68QTcM49icYHH0LG40bLUSgUOUIFqBwTfOMNhN2O84QTjJYyohhzzTUk9u+n9S+q6aNCMVJRASrHhN5Yj+ukEzHZ7UZLGVEULVyIfdYsGlevRuq60XIUCkUOUAEqhyTq64lu3YprgZp/GmqEEFRdcw2xbdvpWLvWaDkKhSIHqACVQ4Lr3wRQ8085ovRLX8Q6cSKN969CSmm0HIVCMcSoAJVDguvfwFRaiuPoo42WMiIRFguVV11J+P33Cb/9ttFyFIq8QkpJe6Swi4hUgMohoTc34Jo/D2E297+xYlCUf+1rmCsrafjNb4yWolDkBZouaQ7G2NMUpr69sJuVqwCVI+L79xOvq6No3jyjpYxoTA4HlZdeQnDdP4n4/UbLUSgMIxLXCLRH2N0UojkUIzECiodUgMoRobffAcA5d67BSkY+FcuWYXK5aFz9W6OlKBTDipSSjmiCfS1h9rWE6YgkRtR8rApQOSL0ztuYiopweDxGSxnxmMvKKE+3hd+zx2g5CkXO0XRJSyiZxgu0RYh0a00yUlBmsTki9PbbOE88Uc0/DROVl11G8yOP0PTgg4y7+Waj5RQka/0B7l+3gz3NISZXuFixsEaZtRpEb3+LaEKjLZygIzqyRkq9oUZQOSDR3Exs23ZcKr03bFjHuik952xa/vAsicZGo+UUHGv9AW5+bhOB9gjlTiuB9gg3P7eJtf6A0dJGHT39Lf7jTx/x7Dt17G0O0x6Jj4rgBGoElRPC7yTnn1zzVIAaTqquvIrWPzxL06OP4l650mg5BcX963ZgNQtctuQlwWWzEIoluH/dDjWKGmbSfwun1YwuwWIyEUPnd298wvFTynNyTp/H+6/A1YAEPgSuAFzAk8A0YBdwgdfvG9ZGbGoElQNCb72NsNlwzJljtJRRhb1mOiWfW0LzY4+jdQSNllNQ7GkO4bR2TUc7rWbqmlVLk+Fmd1MQq0kQ03QSmo6UEofVxIG2cE7O5/N4JwLXAnO9ft8cwAwsBW4A1nj9vpnAmtTjYUUFqBwQeucdnMcdh8lmM1rKqKPq6qvRW1tpefppo6UUFJMrXIS7TbSH4xqTKlwGKRp9hGIJDrRGqC52EIxpybFMikhcZ1ypM5entwBOn8drITly2gecAzycev1h4NxcCugJFaCGGK0jSOTjj1V6zyCcxx1H7Jjj2XbPKk679SWWrVpv6DzKWn+AZavWc8pttYZr6YsVC2uIa5JQLDn5HooliGuSFQtrjJY2otF1SWs4zp6mEAdaI4RiCZbOm0xCl4TjGpLk94QuWTpvck40eP2+vcDtwG5gP9Dq9fteAsZ6/b79qW32A8Oe61UBaogJv/ce6DrOk04yWsqoZK0/wK8nfJbSjmZOr3vP0Mn+Qio8WORxc8vZx+AucdAajuMucXDL2ceo+accEdd0Gjqi7G4K0dgRJa4dWlQ7v6aSlYtnUlVkpz2SoKrIzsrFM5lfUznY01mEEG9nfC3PfNHn8VaQHC1NByYART6P9+LBnmwoUUUSQ0zo3XfAbMZ1/PFGSxmV3L9uB4Gpx7CvahKL3nuRdz0nE0Q3ZLK/0AoPFnncealrJBGKJWgLJwjFEn1uN7+m8kgCUncSUsq+UjqfA3Z6/b56AJ/H+yzwGeCgz+Md7/X79vs83vHAsN9ZqRHUEBN+byOO2bMxFRUZLWVUsqc5hNNm4ZUTvsDY5v14d31g2GS/KjxQQM9pvDxjN7DA5/G6fB6vAJYAPuA54LLUNpcBfxpuYSpADSFS04h88AHO448zWsqoJT3Z//7MeTSVVLHo3RcMm+xXhQejm1ii9zRePuH1+94EngHeJVlibgJWAT8DzvB5vFuBM1KPhxWV4htCotu2oYdCOFV6zzBWLKzh5uc20QGsO+4Mzn31Cabs3cply88xTEsolsBpNROOa6rwYBQQjCZoi8QJxwrHfsjr9/0Q+GG3p6MkR1OGoUZQQ0j4vY0AKkAZSOZk/9+nzSfkKGZl4A1D5lZU4cHoQdMlraFkGu9gW6SgglM+o0ZQQ0h440bMlZVYJ+emHFSRHZmT/fUVO2j437uJbNmCY9YsQ7UoRh757o3XEcm7+a4BoUZQQ0h440acxx+PEMJoKYoUFRdeiHA6afrtA0ZLUYwggtEE+1vDeemNF4lr/MMf4D//7yP+369fN1rOEaFGUENEormZ2K5dlH31q0ZLUWRgqaig/PzzaH7scapXXot1wgSjJSkKFE1PtlBvCyfyrhlgQtN5+5Nmav0BXt3WQCSeX/oGiwpQQ0Tkgw8ANf+Uj1RdfjnNjz1O08MPM/bGG42WoygwogmN1nCcYFTLq5GSLiUf1rVS6w/wypZ62jLSeRaTYO60CpZ43Cy/zUCRR4gKUENEaONGMJtxHqsMYvMN64QJlH35TJqffoYx3/wm5vLcOEIrRhbBaILWcDyvmgFKKdka6KDWH+Af/nrqO6KdrwnguMllLPaMZeHMMZQ6rcYJHSIMCVBCiHJgNTCHpCXilVLKN4zQMlSEN27EPnsWJpda45KPVF51Fa1/eo6mxx6j+lvfMlpOzlHNBweHrkvaI8ky8Xxat7SnKUStP8Aaf4C65q6u5rPHlrDYU82i2W6qS+wGKcwNRo2g7gRekFKeJ4SwkXTPLVikphF5/wNKzznbaCmKXnDMmkXxaafR/MijVF1xBSZnTp2hDSXtAWg1iy4egLeAClK9EEvotEXidEQS6HmSxqtvj/KPzQFq/QG2HOzo8trkCidLvG4We9wjeuH3sAcoIUQpsBC4HEBKGQNiw61jKIlu244eCin/vTyn6pqr+eTiS2h59lkqL7rIUC25HOEUmgegkYRjyfmlfLEfag3HWbelnlp/gA/qWjM7blBdbOd0TzVLPG6OchePimphI0ZQNUA98KAQ4jjgHWCllLJLh7mU4+5yAFue91WKfPQhAI5jP2WwEkVfOE86Cefxx9P0wINUfP3rvLKtyZA0WK5HOHuaQ5R3m39QHoCHkFLSHk3QGsqPNF44pvHa9gZq/QHe2tWMph8KS6UOC6fNTgalORPLMI2CoJSJEQHKApwIfEdK+aYQ4k6SnRr/M3MjKeUqkn5QFBUV5ceYuxfCH36IqbgY27SpRktR9IEQgqprrqbu2//Cmw88xc0t4w1Jg+V6hDO5wkWgPdJ5fFAegJAsxW6LJGiPxLsEASOIazobdjZR6w/wxvZGIolDgdJpNfPZo6pY4nVz0pQKLObRu1zViABVB9RJKd9MPX4GA1oJDyWRDz/CMWcOwjR6P0iFQvHpp2ObMYPwIw9hPedGQ9JguR7hKA/ArkTiGm3hOMGYsWXimi55v66FWn+AdVsa6IgeSitazYL50ytZ4nGzoKYKRzcX/ELG5/Gu8fp9S/p7rieGPUBJKQ8IIfYIIWZLKTeTNCP8eLh1DBV6LEZkyxaqLrvUaCmKLBAmE1VXXknspps47sBmtk49tCxguNJguR7hLPK4uYXkSK2uOcSkUVjFp+uSjliCtnCcWMK4NJ6UEv+Bdmr9AdZurqcxeGi63STghMnlLPa4OXVmNcWOkbXqx+fxOkgWwI1JNUVM5ydLSTZG7BejfiPfAX6fquDbAVxhkI4jJrp5M8TjOOYca7QURZaUfeUsNv/0dha+87cuAWq40mDDMcIZrR6A0YRGeyRheDXeJ43BzrLwfS2RLq95x5ew2OPm9NluKovye379CFkBfJdkMHqHQwGqDbgnmwMYEqCklBuBvjo8FgyRjz4CwDFHLdDNJ/qqkhM2G+K8Zcx+6F7G7N1G/YQZw5oGUyOcoUVKSUc0QXskYeii2oNtEf6RCkrb67vUfDG1ysUST7IsfEL5yF3ikInX77sTuNPn8X7H6/f972COIfLJuqM3ioqKZDAY7H9DA9j37zfR8Y9/MPP110ZF2WchkFkllzlCyWx1oXUE8Z+2CP8ED7865Yq8DRJqwW3vxDWddoOLHlpCMV7ZUs8aX4CP9rV1eW1sqZ3FqaBUM6bIsOvDDHdJSEppaItvn8f7GWAaGYMir9/3u/72G1lJTwOIfJQqkFDBKW/IpkrOXFxE9cUXYVq1ir/fdQv26dONlNwjasFtz4RjGm2ROMGoMWuXgtEEr21LloW//UkzmbGx3Gll0exqFnvcHDOhVF0XAJ/H+wgwA9gIpIe4ElABKpfooRDRbdso+ZyhTScV3ci2Sq7ykotpevBBmh54kPH/dctwSswKteD2ELqeXLvUFjZm7VIsofPmzibW+A+yfkdTl8KLIpuZU2aOYbHHzYlTKjCbVFDqxlzgaK/fN+BhblYBSghxInAKyaj3mpTy3YGeaCQS8ftB19X8U56RbZWcZcwYyr72VVr/8CxjvvMvWN35ddFXC26NtSDSdMl7u5up9dfzz631BDO65FrNgpNrqljsdbNgehU2i1pi0gcfAeOA/QPdsd8AJYS4GTgfeDb11INCiKellP890JONNCIfphwkVIDKKwZSJVd15ZW0PPU0zY88gvt73zNAbe+M5gW3oViCtnBi2C2IpJR8vL+NWn89azcHaA7FO18zCThpagWLPW5OOWoMRXaVgMqSMcDHPo93A9Bpv+71+/o1L83mN7wMOEFKGQEQQvwMeBcY9QEq/NEmLGPH5t2d92hnIFVytilTKPnC52l+/AmqrrkGc2np8AvuhdG24NZIJ/GdDUHW+A5S66/nQFvXsvA5E0pZ7HFz2uxqKlwjuiw8V/xosDtmE6B2AQ4g/VezA9sHe8KRROTDD9XoKU8ZyDqgMcuX0/63F2h69NG8asUxWsrRjUrj7W8NU+sPUOuvZ2dD1yrhGdVFLEl9hsaVOoZN00jE6/e9Mth9swlQUWCTEOJlknNQZwCvCiHuApBSXjvYkxcyWkeQ2K5dlJ79FaOlKI4Qh9dL8eLFND38OyovvQxzsaEVuV0YyQtug9HkaCkcG761S03BGGs311PrP8jH+9u7vDah3NG5VmlqVf58BgaDEAKH1YTLanwa0ufxtkOnMbsNsAJBr9/Xb7oiG/V/TH2lWTtQgSOR6JbNQPLipih8xnzzm+w6/3yaH3uMMcuvMVrOiEXTJR3DnMbriCT459ZkC4v39rR0KQuvKrKxaHY1S7xuZo8tKeiycJvFhNNqxmWz4LCa8ua9eP2+kszHPo/3XGB+Nvv2G6CklA8PUteIJvKxD1ABaqTgPHYORaeeStODD1J58UWqM/IQE01otIUTdEQTw2LYGolrrN/RyBp/gA07m4hrh85ZbLewcFayLPy4SeUFWxZuNgmcNu74dm0AACAASURBVDNOa/KrUFzPvX7f//k83qwMwnsNUEKIp6SUFwghPgQO+0RJKUd186OI72PMFRVYxo41WopiiBjzzW/yyYUX0vzkU1RdcbnRcgznrr9vYfWrOwnGNIpsZq4+ZTrXfm5W1vtLKQnGkk7iw2FBlNB03tndzBpfgNe2NRLOOKfdYuIzM6pY7HEzb1plQZaFZ6btHDYTdkthOJ77PN6vZTw0kVwXldVdSl8jqJXp4wPfz3heAD8fiMBCIltrmYjPh8PrzZthtOLIcZ14Aq6TF9D4wG+pWLYUk8Mx7FZD+WJtdNfft3Bn7TZMAiymZHn7nbXbAPoNUpouaY/EaQsnSOi5TePpUvLR3lbW+AO8srmetsihsnSzSTBvWrIs/LMzxuC0FcYFPZN8TdsNkMyJ+gTJwrtzstmxXy8+IcS7UsoTuz33wXCOoIbLiy8bDzcAGYux+aS5VFx6CWO///0+jqgoNIIbNrD70ssYe9NNfDDv81l9HoaKbD9/w8GnfvQi4biGJaPHWULXcVrNfPCjL/S4TzSRbJ8ejOa275KUkm2BDmr9Af6xuZ5Ae+fSGgTwqUllLPEmW1iUdVvonO9YTCYctkNBaSjSj0IIw734BktfKb5vAt8CaoQQH2S8VAK8lmthRpCttUx0xw5kPI7De7RRUhU5omj+fJxzT6Jx9WpWt08dVquh+9ftIK5pNHYkiGk6NrOJUqfFEGujYEyjexbMJOjipgCH0nit4TjRHKfx6ppDyRYWvgB7msNdXpvpLmaJN9nCorrEnlMdQ4lJCBypOSSnzWxY6tHn8ZYDq4E5JNNvVwKbgSdJmrzuAi7w+n3Ngzj2JOB/gc+mjv0qsNLr99X1t29fKb7HgL8BP6Vrx9t2KWXTQEUWAtlay3QWSBytCiSGkoGkt3KVClvrD/Dy1NO5+O3bqXj1JfYcf3qX17t/HoZSx9ZAO62hOCaTwGwSJHRJQ3uMuNZ+2LbZnnew+opsyRFc+gZe0yUxTSIELFu1nmtOmc4JUytoj+Q2jVffHmXt5uRapc0Hu/4eJlU4O8vCJ1cmi1o27Gjip3/1s78tzPhSJ0vnTWZ+TWWf59iwo4kn3tozoH0GS3oeyWk140h9dcegNO+dwAtev+88n8drI9lo8N+BNV6/72epooYbgOsHcewHScaT81OPL049d0Z/O/YaoKSUrUArSSeJUUG21jIRvw/hdGKbOnW4JY5YBuLcnSuX787jVtRw6tjpnOdfw0tT5iOqBCWO5I1L5udhqHXEEjqI5F01gBCgC3lYR9hsz3sk+q4+ZTp31m5LBh8piackVLks7GsNcdOfPmLl4pk5uZC3heOsS5WFv7+ntcts+phiW2cLi5nu4i5zMht2NHFn7VYsJkGpw0JjMMqdtVtZSe86B7PPQBBCYE/NIzltZuyWvueRjHCw93m8pcBC4HIAr98XA2I+j/ccYFFqs4dJLjEaTICq9vp9D2Y8fsjn8X43mx2NX8WVR2RrLRP92Idj1iyEufAmXfOVgTh358rlO/O4a+Z+hSv/cheLd7/NPywLKLZbDvs8DLUOq1kQjictf4SA9DSOzdz1gpbteY9EX7oQYvWrO2mLJBBAhctKZVEyfabrGk+8tWfIAlQ4rvH6tkbW+A/y9q5mEhmLlUodFk6blWxhceykss4A3p0n3tqDxZScvwM6/4f70jmYffrDbj1U+j3QwoYcfbYtQoi3Mx6vklKuynhcA9QDD/o83uNIdr9dCYz1+n37Abx+336fxztYAQ0+j/di4PHU42VAY1bCB3nCEUk21jJS14n4/ZR+5SzjhI5ABuLcnSuX78zj+qfOYbd7Ohdtfpl1U+fSGo4f9nkYah2zxpays6GD9sihOagSh5XpY4p71dnXeY9U37dOP4qLT57GmXeuo8RhQXDoQuuwmjjQFu5j7/6Jazpv7Wqi1l/P69saiGSMFB1WE6cclVyrdNLUCqxZrPHZ3xam1NH1ktafzsHs0x1bxgjJYTFjOoLChhx9thNSyr46mFuAE4HveP2+N30e7510ndY5Uq4E7gbuIDkH9TpwRTY7qgDVjf6sZeJ796J3dODwqPmnoWQgzt25cvnuclwheHHBuVzz3B1c2foB3/vpTTnXkR7Bjyuz9DmCz/a8g9UXiSfXLgVjyWq8caVOGoPRzlFGchudcaUDb12u6ZIP6lqo9dezbms97Rll4RaTYP70SpZ43Jw8o6rH+Zm+GD8InYPZx2o2dS6QdVjNQ7rQ1yAH+zqgzuv3vZl6/AzJAHXQ5/GOT42exgOBQR7/v4DL0gUWPo+3EridZODqk8JbrWYwqkAiN6xYWENck4RiSaeBUCzRq3P3QLY9Eg3vu2eyZdxRfOG9v6KHD7+jHmodizxubjn7GNwlDlrDcdwljh5LzLM970D0SSlpi8Spaw6xryXcxfFh6bzJJHRJOK4hSX5P6JKl8yZn9b6klGw+0M69a7ex9Dfr+d7TH/CXD/fTnkodnjClnOs+P4s/fPNk/vvcOZzucQ84OA1WZzb7mE2CYruFMSV2plS6mFzpYkyxnSL70JSBZ5Krz3ZfeP2+A8Aen8c7O/XUEuBj4DngstRzlwF/GuQpPpVZ/ef1+5qAE7LZsd91UPnAcK2DyobAr35F429WM/vddzDZC6ectRBIVy9l49w9kG2PRMO/VLVTedO1uL//faquOvyGL1c6Bqqzvyq+3rZLaDptkQTtkTia3vu1IF3pdqAtzLgsK912N6bKwv0B9rZ0DfCecSUs8bpZNKuaquKh+z8ajM6e9jl1djWudNpuEMHySBjqz1Q266B8Hu/xJMvMbcAOkik4E/AUMAXYDZyfCi4Dwufxvg8s6jaCesXr9x3br3YVoAbGnm98k1jdHmY8/7zRUhQ5oKcS35rbbyLy0UfM+Pvf88rp/EjonsYbKgJtEWo3JyvwtgU6urw2tdLFYq+bxbPdTKwYeHoQclcSnva1c9mS6dVC9efrCaMX6vo83kuBG0mmDiVwAfATr9/3SH/7qgA1QLYtXoLz+OOZ+Mv/MVqKYojpzcnhVq+Jqu9/g+qV1zLmm980WuagkVLSEU3QFkkc8aLazEBRXWTnKHcx2xuCfLi3tct27hI7iz1ulnjc1FQXHZFVT2ZJuMNqIhLXSehyUOXu6fJvl6339UgjBaMDFIDP4z0aWEzS7GON1+/7OJv9VJHEANDa24nv20f5179utBRFDuitxPee/XZ+vmQJjQ88SMWFF2IuKzNY6cDINo2XLRt2NHHHmi3EEzqRhM7Btigf7W/rfL3cae0sCz9mYmmvZeED5UhLwi0mU2qUlCxwOJJqO8XASAWkrIJSJipADYDo1q0A2GfNNFiJIhf0VeJbfe217Dz3XBofeBD3v2a1xtBwwjGNtkicYDTR/8ZZEEvobNjZxC9f3kJrON5lAa0Ayl1WbviShxOnVOQkRTbQkvB8sRFSDB4VoAZAdMsWAByzsm85oCgc+irxdcyeRemXvkTT735HxUUXYnXnZ5dbXZe0RxO0hYemIaCmSzbuaaHWH2Dd1nqC0UOpQQEU2c2U2K247CaCUY1503JjEQT9l4QP1LVBkf+oADUAIps3YyouxjJhgtFSFDmgPyeR6u+upO3ll2m4+x7G3/Jjg9UeYq0/wH2vbGd3U4ixpQ6Wzj2ywgEpJb797dT6A6zdUk9TMNb5mklAkc2C1SyocNk6R0rhuDaodVEDYem8ydxZu5VwXOucg9J0yZWnTGNcmeOIF8kq8g8VoAZAdMtW7LNmqbuyEUp/TiK2KVOoWLqU5t//nspLL8F+1FHGCgZe/HA/P/7Lx5iFoNhuprFj8F5yOxuC1PoD1PoD7G+NdHntmAmlLPa4OW1WNdsOdnBn7VZimo7DdKhYIdt1UYNlfk0l/2qayZNv1XGgLczkChffOG2GIf2yFMODquLLEiklW+Z/mtKzvsz4H/7QUC0K40g0N7P9jM/jmjePyffda4gGXZe0RxK0ReJ857H3Dkt7heMaVUV2fvn14/o91oHWSGdQ2tHQ9X+sprqIxbOTxqzjyhxdXhvMeqPBUKhdZPOJfKjiGyxqBJUlif370dvb1fzTKMdSUUHV8uXU//KXBDdsoGj+/GE7dyyhpxoCJtBTN5aD8ZJrCsZ4ZUs9a3wBPs6ovgMYX+bodAufPqb3a9r8msqctaQ4ErNVxchCBagsiaQKJOyzZ/ezpaLQ6a8fT+Wll9D82GMEfv4Lpj31JMKU2+qwYDQ5WgrHDl+7lK2XXEc0watbG6j1B3h3dzOZ1eaVRTYWza5miceNZ1zJsAcEq9mEw6rKvxWHowJUlkQ3pwLUzJFdYm5Qs7S80LXWH+C2F/xsCXRgNQvGlth77MdjcjioXrmS/TfeSNtf/0bZWV8eUh2QrJ7rSKXx+qrG66lwID0fFI1rrN/ZxBpfgDd3NhLXDkWlIruZhTOTQem4yeXD6pxgEknXhrThajZO5YrRiZqDypK937uO0HvvMrO21lAduaQ3J4WeDEtHmq70OQJtEXQpEQh0JBPKnFjMAneJg8eXL+jcXmoaO88/H625hRl/eR6Ta2jcpqMJjbZwootZa39kzgeNLXFw4tQK6lrCvLatgVDGqMtuMXFyTRVLvG7mTasctnVB2XSRVeQONQc1Cohu2Yxj1shO7+WqEWB3BjoaGg5d6XNoUmI2iWTvIx0aOqJMH1N0WD8eYTYz7qab+OSii2lcvZrqa68d9LmllARjGi9+tJ9H3tg9YJ+5udMrcNrM1PoDvLKlnvcz7IbMJsHcqRUs8br5zIyqLmu8ckm6R5LLZlHzSIpBowJUFshYjOjOXRSfvthoKTklV40AMxlMS+vh0JU+h81sIpHqaCsExDS91348rpNOovSss2hc/VvKvvpVbJMHVmat6ZL2SJy2cILXtzUMqPW4lJLt9YfKwgPt0S6vHzuxjCVeN6fNrKbMZT1s/6EmPY+UTtuNJLNVhXGoAJUF0Z07IZHAPntkV/ANR7O0wYyGhkNX+hzVJXb2tUTQkcjUaKqvfjzu719He20tB2+7jcl3353VuSLxtAXRISfxbH3m9jaHO4PSJ01dA/RR7mKWeNycPrsad2nXsvChxpzSmg5IFjWPpMgBKkBlwWixOOrPSaEnBpqu6200tDXQzrJV69nTHKLEbkk6b8c0Jle4OLmmkmfe3TsgXYN971azYHyZnYNtURJSUlNZxA1f8vb6nqxjxzJmxQrq77iDjldfo/iUz/a4XX9O4n2Vizd0RFm7uZ41/gCbD7R32WZShTNZFj7bzZSq3HVdVfNICiNQRRJZIHWd+L59WMeNQ1hGdkwfaNPAgRYvLFu1/rDRUENHhKZgnEkVThKazt6WpIvBxHIHFrOJuCY578SJvLGjKaeNAQfbKE6Pxdhx1lcQFgs1//dHhM3W+Vpc02kLx+mIJvp0Ev+3J9/vUi6u6ZKmUIy4JglGE12MWccU2zh9tpslXjcz3cU5m99R65FGBoVcJGFYgBJCmIG3gb1SyrP62tboADVQ8qFU+0g1pPffGmgnltCxmgWzxpZ2OU5msGkLx2noiBJNbTutqoj2aOKwc/cU1OqawzitplSraw0EmEleIGuqiwnFEodV0eXqfQ/mWGv9AZ779VNc88I9PHrMmbx76jmsXDKT46aU97h2qSfSLSwSmk4krhPstl+pw8LCWcmy8GMnlQ1ZC4tM0oUNaQfwXK5Hyof/kdGCClCDObEQ/wbMBUpHUoDKh1LtI9WQ3j+uaTS0x5K21UBVkQ2bxdx5nFNuq6XcaaU9kmBfaxgTAk3qJHSwmESXEVDmubuPVD7c20w0ITEhiGas+TEJOGZCGVJKWsNx/nl930UqQ/m7z/ZYa/0BrnvmfVpCcW5482Hm7f+Yf1nyPTqqJ3D9Fzz9VuHFNZ23dzVT6w/wz60NxDLev9UsWDgz2Vdp7rSKIV8vZDGZcNgOVdsNV2FDPvyPjCYKOUAZkq8SQkwCvgz8BPg3IzTkiuEq1c6lhvT+jR0JTCaBSYhO/7dxZZbO46QLCxo6opgQmEyCWCIZz8wmQUNHrHMElHnuRR53Fx2f+tGLgJY8lw5S0iWl1RiMEoxqnHJbbZ9320P5u8/2WPev20F7JI4JWH381zg+sIVvb/wDN5/6jV4b6elS8kFda7KFxZZ62iKH+jVZTIJ50ypZ4nVz8oyqLg4RR0q+9EfKh/8RRWFg1ITKr4AfACW9bSCEWA4sB7Bl5PTzneEoic61hvT+MU3vvKtOl1xnHiddWBBN6JhNoMtkcLGaROf22ZzbZjERjmnoUmIxCWIpxwMhBA0dEQLtMaqLbf2WpQ/l7z6bY4ViCXY2BtF0iUkImp2lPHzsWXzr3Wc4bddbfFh8Sue2Ukq2BjpY4wvwj80BGjoOtbAQwHGTy1nscbNw5hhKnUNXFp6eR3LlUX+kfPgfURQGwx6ghBBnAQEp5TtCiEW9bSelXAWsgmSKb5jkHTHDURKdaw3p/TPXBEkJNrOpy3HS7SmufeI9grEEDosJYTElR0Cp7bM590x3CbsaO2gLJ4hpEofFlHRzEIJgVKO62EZ1SbJsuq+77aH83fd2rInlTlpCMdojCeKazrgSB03BKFJPBvGXpy9g0Sdvc/VHf+auExawuynUWRZe19zVwHX2uBIWp8rCxxTbB6yxJ9JpO5fNkrfrkfLhf0RRGBgxxv8scLYQYhfwBLBYCPGoATpywoqFNanJ/qRVTSiWGPKS6FxrSO9f6rSg65KErqMjKXFYDjvOIo+bu5aeQFFqLiGS0IlqOrGEzphiW1bnXrGwBqvZzLgyB7PHljCxwsm4Mif3X3wSpU7rYRfv3u62h/J33/1YHdE4kbjOuSdMpCkY6/THWzpvMkU2C7qU6LqOJuGu487DGY9yRu2jXP7gW/zujU86g9OUShdXfGYaj1w5n/suOpHzT5p0RMFJpHztqorsTKxwMqXKhbvEQbF9+OaUBko+/I8oCgNDy8xTI6jrRlKRBAy+XDmfNHSv4rOZBTO7VfGluevvW/jVmq10r6IudVg4ZkJZVufuTW9PZel9VfUN9n33VFUmpeTeV7ZT1xRibB/WQxt2NHHf2m3saQl3zp8t87/Mpf4X+e95l7LVM4/TZ1ezxDuWGdVFR5xms5pNOG3JtF2hdpHNh/+R0UIhF0moAKXowmDKfz/1oxcJxzUsGW0nEnpyvuqDH33hiPUMl1Fs+hyhWIJoQrJy8VHMnd57FV4oluC1bY3U+gO8/Ulzl3VOlXYTd/zzbqraGrA/+iTmqjGD1pd2/063pBgO929VBj5yUAEqx6gANTwMNhjM+Pe/YjGBSRy6cOqpcvPtt545JLpyebe9bNV6DraFcVjTqTrZa1faWELnrV1N1PoDvL69kWjiUFm402rmlJljWOJxc+KUckx7PiF+1cWY5i/AcuvtAxo5GWm2qsrARxaFHKBGti2CYkAMtvy3yJa8iGVmmnSZfH4o6F6WPli6jwpOrqnkte2NvLWrCZtZUFVspyj13jO70mq65P09Lcmy8K0NdEQPlYVbzYJPT69iscfNyTWV2DPLwqdNx7z822h334H+t+cxn/mVXrVl9khyGextp8rAFfmCClCKTgZb/nv1KdO5s3YbCV3HJJLBSZfJ5/OF7i7qOxraeXNnI5UuK3aLibimE2iL4i6FIpuFcEyjxG7l7n9sY+3mepqCh8rCTQJOmFLBYo+bU48aQ7Gj938j8/lL0V99hcSd/4PpxLmIceM7X7OaTRTZLXlVAg6wNdBOKJogrktsZhPVJXaK7RZVBq4YdlSAUnTSW/lvkc3MslXr2XKwjVBMI5Fa91Mzpojrv+jhU5PKmVDmoK45jAScVhPfPG0G136uq7lutvMad/19C6tf3Ukwljz3Ek81B9piPe6X7THvX7cDiymZOotrkrZwApOAYEyjwmUj0B5BIqlvj9ButRCMaWh6hK31HZ3HOHp8six80Ww3lUXZrc0TJhPWG28mdsVFxH/8H5TdvxqX04HLnp+dZNf6A7RHEugpJ/eELtnXEqGq2Mq0qmKj5eUlar4ud6g5qAJnqL3nus89tIbjnc4QgfZoZ6Ve0oRA4LKasFvNlDqt/VoCZTOvcdfft3Bn7TZMIjlSSWgSTUKFy8LEcleX/T6oa+GetdvRdIndYqLEYelixZQmEtc4/fa1FNvNyUaEwNZAR6dbhd2SdMuIxHW6/zdMH1PEYk81p892M6HcOeDfqc2SXJOkr3mJ+h98n6prrsH9vfw1T1m2aj07GzpoDMYwkVxwrcnkDcn9F5+kLrzdKIT5umznoHweb6c/qtfvO8vn8VYCTwLTgF3ABV6/rzmXWruTf7dwiqzpbFPeHunisrDWHxjU8RZ53Nxy9jG4Sxy0huO4SxxUF9spTfntpe9lBMkUntkk6IhptEcSuGwWhEjOW1jNgvvX7ehy7Mx5jb62W/3qTkwiueDUJEydAaM1nOiy320v+Lln7fZO94mEJmkMxoglNO5ftwNdl7RF4tQ1h9jXkmyFHoknCxo6urmDRxOScEZwGlfq4ML5k1l96Un89rK5XPTpqVkHJ7NJUGy3UF1iZ0qli0kVLiqLbIw5+yzKL7iAxt/8ho5/vjqwP8wwsqc5xJhie2ere00m03wldnPeXHDziWw/1wXCSsCX8fgGYI3X75sJrEk9HlZUii+PyIdW6JkFCWv9AVY8+g66lCQ0eeiinnKWEKn5poSudzlGT/NW2c5vBWMamRZx6aCYucYq2T+qg4SuYzWbEKk7fXRoC8f5pDHI7qYQekZ2YOm8ydyxZgvBaIKWcLzH924S8I2FM/h/J03scz5ow44mnnhrT7I1e5mTSxZMYYl3bL99ksb++42E33uPfddfz/Q//hHr2Py74KfTvKVOa6flUnrdmeJwRoptk8/j7ckf9RxgUernh4G1wPXDqUuNoPKEwYyG9jSHDjMTHap/jrQeQaeZ+SFSwUlKOkc7mfRkWzO5Ipme62u79HuNJiTRhIaWslkCulQIpo9jN6dtlWSqM60kmtBxlzg6g1M0rrFuSz1//Wg/jR0xmkLxzmAnAHMqlWg3Q5nTynlzJ/UbnO6q3UpzOEaly0ZbOMada7axcXdLv038TA4HE391B3o4zL7vfx+ZSPS5vREol4eBkc3nOg+wCCHezvha3sM2aX/UzLvNsV6/bz9A6vuw31GpAJUnDCZVkMt/jrSecWUOQJA5ny9JXtQ1XVJsM1PisPR7QevvwpcOiKWO5EVelymz2VQwKXNauuw3vcrVacWkSYlO8rvJJDj/pEm8tauJ217wc+69r/OjP3/Muq0NJPRkOrDcaaWqyMaM6iJmVBdzVHUx7lInUyt7TtOn03ZjSuz8ceNenDYzpQ4rFrOJIrt1QCkd+4wZjPvhzYQ2bCDwi9sH9DcZDnpK8+bTfEq+USABPSGlnJvxtSrzRZ/HexYQ8Pp97xikr1dUii9PGEyqYDAt2geqRwjBhHKob4+ixzR0kmt/TELgLrFTZDNT3xFlf0uEuKZjMgmm99B6PG0s29uC23RAnFRRhNUUpiEYQ5cgTIKvfmocB9pi1DWHmFju5JIFUwnHNf7n5S2Uuyy0R5LODxKwmCQ//PMmEt18l5K2QCasFhNnHjOOFz4+SDSh47CaiMR1Erpk6bzJQN/tzfe2hI84pVN+7rlENn1M08MP4zjaS9k552S973AwVOvORgP9fa4LhM8CZ/s83jMBB1Dq83gfBQ76PN7xXr9vv8/jHQ8MbnL7CFBVfHnCQD3n0mTjsjDQua21/gDXPvEeoZiG3WJiTKpQIlNPZvVSb23as7nzTmvbsKsJR8a5gC6NCsMxjfZInGBMI/2ZfXN7Iw+9/gm7moJdHB3SOCwmHFYzlUU2LKkcYdohYum8yTzx1h4OtIUZV+rkok9P4XSvu19/u8H+nboj43F2X3U14Y0bmfr73+M8dk7W+yoUA2EgThI+j3cRcF2qiu8XQKPX7/uZz+O9Aaj0+n0/yKXW7qgRVJ4w2NFQf3e73Reo9tRPKTOAFdvMNAZjFNnNhGMaMU1nX2uYaELDZjF36slMSe6o78AsBAh6bVLYXdP963aw5WAbHVGNyiIrdrPoPBfQGRDHljrY0xTqdA+H5Cgm3cLik8auIxe7xUSJ3YLVkmyYWF1i6ywth0MOEQtmVHG61z1gf7uhGrUKq5WJv7qDneedR913vsP0Z57GMmbwfn1qLY4iB/wMeMrn8V4F7AbOH24BagSVR+TCc66/O/7u6zi21XeQ0CSTKpJl1fXtUSIJjSKbhbuWntCpJ93uXQiB/0BbZ4DSdIlnXGmvbdozz1fXFCKWqg60mpNde00mgdUkqC6xE9MkKxfPZH5NJY0dUf6xuZ5afwD/gfYuxzSbBGUOC6UOa2eXWIlkV2OIcaWOzkISIQTRhIa7xMGTKxYM2rkh/XfatK+VYExD15OtSK4+Zfphi5P7I/Lxx+y68CIcs2cz5aEHMTkHvtaqENbiKIxDefEphoRc5P77m9vqXqqe7A6bDEw11cWUOKydwSZTW7ocOaFJNF0Sl8mKO3s/TQrT50tokqh26OYorknMqQVWEV1S4bJz9nETaAhGue7p99m4p6VLqXlVsS3ZwsIzll+v3U5TKNalhXkkrjOlwkUkoRPXdFw2M5GEji7hW4tmHJGt0CKPmw/qWtiwqylZxWgRhOMad9ZuAxhQkHIcfTQTfvFz9l67kn0/+AETf/UrhNk8oBFRf8sN1OhKUaioADXC6H4xKk4ZufbWvbR7ALOZk750sYyUWmMwSjCqccpttZ0XuBULa7jumfdpCcU7E2hSQlzTaeiIYDWbe0x7pc+3s/XwEbFJCBCSyWUuiuxmfvqCj3hGECtxWFg4s5rFnmo+Nam8syHfsvlTuLN2K+G4htNmJpaaj/rPs44GcjOBnbmgOKk9uR5s9as7BzyKKj3jdrDM0wAAIABJREFUDBI33sjBW2/l4M9uw/+1q7j5zx/3mZbNpK+bkGxSvApFvqJSfCOItf4A1z3zPh3RBJqe9FKzmQQ2qxmLSdAcjHWm1MYUWXFYzextiXRxVUgHG4sJZo8rpTEYJdAeo8RuJq7JVDGCZHyZkwOtERK6PMweCKDKZcFd6qQ9muh0Dn9jRxNv72rqdZ/eKLKZ+X8nTuKiBVMOmytKN+976NWdPPzGLkJxnSKbeVDptoGQbYuR3kYvPT3v/eMDND38MC+etpQ/zzot60KMvtK4wJAUdQwlPb13YMCjPDUyzI5CTvGpADWC+OIdr7CtPohZiM6FtJqUlDsttITjJHQ6F94eXvN2CAFYzMl5nZgmO01VTQh0qZNyDEJAn4HGLGBShZOYpnOwLUqJw0x7WOvz3N33T5+j1Gnl+i94WDCjCofV3NlR1mo2GTIHk02Txt50nXfiRJ55d+/hes/yctSvf0rrSy/z5JLLec/zmc5j9zan19d5bjn7GP7jTx91zhVmc6xc05ffY39+jv0dR8279UwhByi1UHcEsbMxlDRZNQmEEJhMApOAxlAci9mE3Zwsuz7cGqIrdouJKZUuZo4tpdRpJa5JTCSPl5FxQ9L3oTSZnMtqCcUxCWgNa5hMvX/o0s4OaSxmE2azCbMQhGIJnn1vL1OrXIwrc1DmtHaOprJd5LzWH2DZqvWcclsty1atH7RnISRbiaRtnpIjJ/2wFiO96Vr96s6e9b66iwm/+DmfTPbw9dqHmLP90LrJvhZg97W4Nt+cDnr6nXREE1n5OfZ3nAL2wFP0gpqDGgVImSx+MKfuovsbNGtSds5hTK5wcaA10rmOKL1vuu9Tf8Q0PWlHlHrcw3IlAByWZMPAg22Rzo3TsUqYkqal+1vDCCEOS+1sOdjG+LKu1W/dF88O9VxMOn2Y2Rake1qxt7mhYExjSi8WVSa7naKf/5IdK7/NhS/9hoe/ZOW9CUf3W8reW4FNLhdzD4aefieaLumeyelv8fNI8cBT9I0aQY0gasYUpZoFSiQy2b5cgstqxmwSh9zI+xj2CJKFEum77BULazCnAoREdkYNc2p0Zu5lQWsaTSa/MoOZIOV/ZxFYU5/AhC5pDsY6g6gQybJwIZK6zSbBpApXj56FHVGNho5ol/N2HyXk4o772s/N4oMffYHtt57JBz/6wmFzXr2NXtIdiHvTe9oJ0yi9438JVE/m0hfu49PNOwaduso366Kefidmk8jKz7G/4+ShB57iCFEBagRx/Rc9VLisCCCh6QigwmXlG6fVUGy3oEmJput9puWESFbLpe+yF3ncfHvRDExCENd0rCKZhpMSqlzJEvS+PkSZN8Y2s8AMnb2e7GYTcT35ITSJZHO8hC6T82QSNF1PfklJsd3CioU1PQaayiIrzaF4n35ouTTW7Y3efNquPmV6v/5tp51Uw2n/9xjFM2q49M93MTfgH7SORR43jy9fwD+vX8zjyxcYOkfT0++k2G7Jys+xv+PkoQee4ghRRRIFSn/VYd3Lqtf6A/zsbz52ppwXqouTHWEPtkWTHXJNAptZUGQzM3Ns6WEVUen9dzQE0XSJ1ZL0qitzWglFEzSH4sS75fySoyQTE8tdnDKjko11bXzSFCSh6djMgrgOFpMgGE0QS01uWc1Jj78Sh5UdDcm/+fQqFzd8ycsij7vLAuE0UkoOtEWY6S7ptZx8qCyKBkpff49syt8Tzc3svuoqolu3MfH22yn9wudzpnW46Om9w8CXA+RiYftIpJCLJFSAKkDSaa5YQksZpeqYTYJvLzq8zfpQoOuSFz86wE3/9yEd0QQJTWIy0RkkMtcqOa1mPntUFYs9buZOrcBqMeOwJrvKFtnMWDLKxOf+98u0huKpoo7kaEvXJWUuK2//xxk9ajkSz8JCrfrS2trYs+IbhN9/n/G3/oTyc881WpKigCjkAKWKJAqQ+9ftIJbQOttyW1JzRPes3c6nJpUPyQVX05Npk2BUIxzX+PmLflpCcaRI1jAkexQeGvXMn17JEs//b+/Mw+Sqyvz/ee+9tXZ19d7Z6JAEAt0sCSCEKIghwoiDAUcHkdEZxnlGcMdd9JlxY2bEn4jjgiPLzIiiLAI6rvjLJCZRf0IShASwCwJZiKGT7vRe+3LP749bVV29pnqtqu7zeZ5+Un3rLueefnK/95z3Pd+3mfWrGvC5LXwuE7/HpMptjRunSmbz3o2CuJMtKr/Qdiym41lYqa7TZjDI8nvu5vD7P0DHzZ8m09dH/fXXT8sNQ6OpBLRAVSCHe6MMxtMYCArHvcHJlFN8+bHQlB+6GVsRSaaJJNLEUza2bfP8sUG2tHfmpwbHWvj0mSvaeF1rE16XSZXHIuAZX5QKcZlCLOWMmnIjKHBiVeMxHaGp5DISRlUVLXd+h1c+/gk6b/0yqcN/ZtFnPo2YExdJ1GgqGS1Qc8RMrnrPpX4LjKp79EJnmG2hzqLPPVKUlFIc6o5k3cK7ONIXG7b/WItz7/n9AVoafFx2xuJJ3cdpi4IcOB5mMJ4mmbFxmwbVXhcrGwMTHleJQjMTf3/D42HZ1/+dzq/cRs9//zepI0dY9tXbMKoqcvZGozkhOgY1B0w3/jHy4fbqVfXcse0lEunhGXmmIVimcG5L3YTxmHTGJpLMEE2miSWdVN1jA3F+kxWlF7vCw/Y/ucHPQDRFfyw1ygXCZcDyhqopJRvMZVyolLY4s3GfPT/8Icf+5V/xtJ5Oyze/iWvZshlutWa+UMkxKC1Qc0AxJS/Ge3jmHm6pTIbuwQTJrEJUe0wGE6PXk9T7LQbiGaq9Fsm0jcsUTlsU5N0Xr+RVK+uzIyXnuL5oku0vOCUsnjkyMKrdhsCSoJcPXHoqlmnwhZ89Szg5XKJydka2gluuPmvKfmqzGRcqdYLEbGUQDm7bxisf/wRiWSz96m0ELrpoJpqrGYNK9v3TAjXLVLpAjZca3R9LccvVZ0348Lzursc52B2mcyAxzGZoJDmPPXB89HIxKYA6vxvLNLhp42rOXBbk9y8eZ2uok92HeoctoA14LMfJPG0Pm8ardht8829exa2/aueFzjC2csTLzNopCbCysYpIMjMtEZith0CpUsxzTPT3n64fXvLgQf78wQ+ReOklmm66iYYb3q2TJ2aYUr/gTJdKFii9UHcOmGjV+4kcDg73RumPDk2tZesC5hGctUYel4FN1gQ2W5vJNAwEYTCeIpm2+dJjId76nT9w62PPs/OgI05VbpM3nLmI//PWszmlsQrbtkfFmMJJmy8/FiKczNBS58NlCi7DyLpTKFK2E7uajlPDWA4Rn/3pc9Pyy8tRikW6hcym64F7xQpWPPgAwTe+ka6vfY3D73kP6ePHp31ezRDa9690aIGaAyZa9X6ih2dLnZ9ENktvLExDMMWJK0HWIw9n9GTbioxSxNOK7kiS/pgjVG7L4JLTGvn8VWfwyHtfw6euaOXVpzTSFU6Qyjmey5AlkgL2H4/QUufHMg2W1viwTCe13TCE1U0BwsnMtERgNh8CpbbFmW3XA8PvZ+ltX2HRP/8T0T88zv6r38zgtm0zcm5N6V9wFjJaoOaAybhND8RSvNgVpnMwwXV3Pc6rV9VjGcbQqEkNz6JzmY5H3arGAC4DDINs6jmkbDVsCq/aY3HzFafzyHtezec3ncmlpzfTVO1hWZ2Plno/JzeMPQuQu3buQWuZwsrGKhoDbpSCrnCCgViK7kgifw/7u8KEjg7SH0sVNQqazYdAqW1x5sIPT0Sof8c7WPnIw1iNjfz5Pe+l4wtfwK7gqfFyodQvOAsZHYMqMYXz2+mMzZG+OADLar1YpkEqo3jV8hp+uqcjH4MyGBKpxoALn9uiN5oikkiP6TBe5Tao8rj46GWnceEpDVS5TQJeZzFtYbxiW6iTd39/9zBnCHAE6vRFAR77yOvycaJ9nYMMxtPU+V00BjwcDyfoCicJek3CueQNBY3VblymecIH8mzHiRaSLY6dTNJ1+9fo+e53cS1dyuIvfJ7Aa19b6mZVLDoGVTq0QJUBuYfnH1/uRYDFNV4CHgulIJJMU+d3c+35LXxtc4hj4RQAbktoqfVxpC9OfITzgtc1NOLyWgYnNwT42/XLufysxQTcFoYho679wrEBUhlFLJnOFyTMIcBHLls9zEZpLEHpGozTFU4CCq9l0pT11JuMFdFc2TctBKJPPknHP3+W5P79BDdtYtGnb8aqry91syqSSn7B0QI1y8x3gcpx0a1bCHpdjpWQUoTjaXqjSRJpmxUNVXRHEghCPJUZJUpLa71sbG1mY2szK7JTdYYIAa/FU4d6+a/fHxzTWDYnCt2RJADpzJCrg2kIHssg6LNY0RAYJjDjZaa1Hx2kbXH1lDLWvvG/L3DHtpdI2zYe06DG7ypq9AWVnQY8m9jJJN3fuZPjd9+N4fPR9IH3U3fddYjLdeKDNfOCShYo7SRRYuKpDNHsotmmgJfuSAKfyyScSNM5GEdlU7oPHI+Myq4zBBqqPHz+qjNoLRAFj8sk6HUsh7Y/38Utv2gfs1BfLjGhO5zOV8xNZTKgwG0ZWIawqimAUmpULKilzj9qBFVY62jk9mLm6/+wv4eT6nyjpvnu3LF/QrGZ6WKE8wnD7abpQx8k+Jdv5NiXbuXYv32J3vsfYNHNnyLwuteVunkazYToJIk5Jp2xGYyn6ByIc6g7wit9MfqiSZJpm7df0EI6az10PJwgYzvF/tL28MSIoNfipFovqxr9mAa0LQliGgYBr8XSWh/Lan1Ue53RTWF2XDiR5mh/nCN9UT70wFO8cGwAn8skmbHzGXtG1gxWxKmGC2MLzHRqHY3HVBMldBrwifGceiot99zNSf/xbbBtDt/4Hg793fVEn3zyxAdrNCVCj6BmGaUUsVSGWNJxBR/PqTudsVGiWBz0sufPfWNWoM2xOOgFHOFYWuujsdozKraUI1caezCe4pW+OCJODaZoMoNpCMfDCdymkZ/aM2SoRLzLkHEFZiLT1jUn1U5pvn68UdmJRl+VUv671NOQIkL1pZcSuOgieh94kON33cWhd7yTqosvpulDH8S3Zs2ctUWjKYY5j0GJSAvwPWAxzpKdu5RSX5/omEqLQSXSGeJJm2hqyIB1LGylePZIP1tDXWx/oYv+WGrY916XQa3PRcBtEUtn6OiLo3BExDKEaq/FbdecU1R23NH+uFOYUATbVuR8JpIZhdsUkhmVN4I1BQxDqPG5WN1cPasP0sKHdsBt0h1JEvS5JpUtNZkMwFKJRDlmgtnRKL3330/33feQ6evDv24d9f/wLgKXXIIYenJlvlDJMahSCNQSYIlS6o8iUg08CbxZKfWn8Y4phUAV8yDL7fNyT4RltX7eeeFyzlleR9oeGiXt3N/DA7sOs69zkFgqg62cEZFlgI2QGZEX7jKFRdVeVjX5+cP+HtIZNVaFi2EI5F0dnAQL53eXAQohUTBqs7ILeUWcBb4ZW2Eakq9oW4ghjtPEWctqJ7z/yT7sx0tVj6Uy9MdSNAU8hBPpokdfueSKjK3wWAbVXgu3NTq5onA/0xBs28YGVjcF8hV7p0Ix/TBVEa32WCilsi4esyOomXCEvh/9iJ7vfY90RwfuU06h4V1/T3DTJgyPZ0avpZl7tEBNpwEi/wN8Sym1ebx95lqginnbvf3XIb6zYz8ZW+G2DKrcJi7L5KaNq1m3yknl3bm/h69v3Uc0kaY/nh73eqaQF67FNR5SGZvuSAq3KcTTs/P3ERzPPrdpkMzYo9Y+FVLnt6j2uofd/1RHBIXHdfTF8mXil9b4CPqKS0kf63ypTIb+aIpExsYyjFHp6dtCndx435PYjklh/rqmgMsyprx4tth+KNaPr5h1cbM16lKpFAOPPUb3f/03ifZ2jJoaajZtovaaa/CerlP9K5UTCVR7a9uoWa22UPvX21vb6oEHgRXAQeBtbaH23tlv8RAlHceLyArgXOCJUrZjJGMF3S0D7tj2IscG4jy482X+Y8d+bOW8iaczir5YilQ6wwO7DufP873HDxFLTixOVlacLEMwTaE3miKcyGAIJNIKj2mMShyYLIVGsjkctwmVNYidWAT7Y+lRSQdTTUwoPC6VHckYOLEwmHzsKHe+xoCXU5qrOWNJDSfV+fjD/p5R+6VtZ21VRql8fyiy8bYpJlUU2w/FuhEUnu94OJm1shKOh5OznvwhLhc1mzax8tFHWH7vvQQuvpi+Bx/kwNVXc+Bt19L74EOke+f0+aSZG9LAx9pC7W3AeuD97a1tZwA3A1vaQu2rgS3Z3+eUkgmUiASAR4APK6VG1XoQkRtEZLeI7E6nx3/AzwaHe6N4LYOMrfLu3qYhHO6JEkmkuX/nYTK240MneUdvIZLM8Ep/lJ/v7eCjDz3NnzoG6ItN3HbDkHzWnCFOddxUxrlebvtMMFKCnGlGIZw4cd/aarRwTDXjrvA4t2mg1IkzBos930TtONwbxZO9nlLkFdtWTjummlRR7PWLtVsqPF8uu7Kwf+Yi+UNEqLpwHcu+ehun7tjOok/fjB2NcPRzn2Pfay/h5RtuoO8nPyEzODir7dDMDW2h9o62UPsfs58HgXZgGXA1cG92t3uBN89120oiUCLiwhGnHyilHh1rH6XUXUqp85VS51vW7Ccb2rYiknDSu5sCHgbiadIZG9tWKKWIp2wWB30AdAzEcGdLWmTbiq0UsZRN12CS2ze/wNOH+517PcF1VXZqz1EQwWOZeCwzX9Iil1E3UwjgMZ3Chs4oLXPCNhoyWjim6k9WeFxTtce5P6Vwm8aUPPKKbUdLnZ8av2vIdDf7r0A+/jUVb7Vir1+sH1/h+dwFguo2jXHPPZtYdXXUX389q372M1Y88jD11/8dyRdfouPmT7Pvoot5+YYb6PnhD0kdOTJnbdJMGiv3sp/9uWG8Hdtb21YwNKu1qC3U3gGOiAFzns0z5wIlziT8fwLtSqnb5/r6OZRSxJIZeiJJjvTFONgd4dhAnIFYimvPd9YjxVIZFM6/aVvx9gtaAFgS9BHwmNi2IpmxSWZU3idP4WTfXdbWzGWtTcDEImUrRbXHIGkrEmmbdMbGYxnYylnvlFZ2/u15yvda8FkEFtf4WFrjwzAE0zA4qc434fE1PmuUcNx4ySr6Yyn2dQ4SOjrAvk7HGPZE4lI4kgh4LBoCLgwRfK6pxYGKHZnceMkqXKZJQ8DlvFxktzcGXFimTNk8djJGtBtam7n/hvX89lMbuf+G9WPeZ+H5GgNuMllH+saAe85NbgsREXxnnsmiT3yCU7b8LyseuJ+6664jeegQx754Cy++/jL2b7qKzq9+leiuXdjJ5Jy3UTMu6dzLfvbnrrF2am9ty89qtYXaR1cwLQGlyOK7GPgt8Azkyxx9Rin1y/GOmakkiXgqQzzlrEeaKP0bhrLvjg7EWBz08fYLWnjVijr2/rmPB3cdZteh3lElMJbX+fj7i1awflUDew/3c8sv/kQ0W1J95JV8LoMVDVUMxlN0DCQwUBiGkc8w+8uzFnF0IMmug91OAoUIrmymXmIMM1fLEOwxsvgMwyCVdmpoKKVoDHjyI4bCgPs3/vcF7vndAQYK4mWmIfhdxphZfNtCnXzi4T0MxtOkbScxodpr8ZW/XjvnVXSLPV/hfoFsdlwkmZl2G2bzfmaynbNF4sABwtu2E96+neju3ZBOIx4PvnPPxb/uAqouvBDv2WdjuN2lbuqCpJgsvvbWNhfwc+DXbaH227Pbngc2tIXaO9pb25YA29pC7afPfouHKHkWXzFMVaBSGTu/SDaeykxpqkwpxQvHwmwJHeM3z3fRHR7+Zug2hUVBL+96zUo2ZEdMuey9YwNxTAPsrCNEIY0BN7f99Vru3LF/wvTjE2V/TSbVeyYfpKWuUqspTzKDg0R37SL6xE4iO3eSCIWcAppeL75zzsF37jn41q7Ft3YtVl1dqZu7ICgii09wYkw9baH2Dxds/wrQ3RZqv7W9te1moL4t1P7J2W/xEPNKoDK2GiZIqWlMjb3cHWVrqJMtoU6O9MWGfde6uJrXtzWz4bQmGgKj14l89ME9dEcSWbsiNeYaI1NgdbNT6G+kAA3EkhwdSNBU7WEglsLvNmmq9ua/zwnBjZesmvLiz+kuWJ3NMuaa+UOmr4/o7t1Edu4kums3ieefd97YANfJy/Ni5Vt7Dt7TT9MmtrNAEQI15qwWThzqIWA58DJwTVuovWfMk8wSFS1QGVsNm7Ybz0aoWDoH4mx9vout7Z282BUe9t3JDX7HLfz0ZpZNELMxRLju7sep87uIJjO80hcfN4aUq7OUslV+JDIQS3GkL4ZlCKc2B+iOJOgcTNIUcI+amrtzx34OHA8zGE+TzNi4TWeabWVjoKjSFtNxNdAjKM1UsKNR4s89R2zPHmJ79hB9+mkyXU6JevF48J55Jr6zz8a3dg3eNWtwLVs27CVIM3kqeaFuRXnx2bYinj6xr91k6I+m2L6viy3tnTxzpH/Yd4uCHi49vZnXtzWzqrFqwv8oLtMg6HNR7bFY0VBF56CzwHIMe7w8CuiOJPPxKZ/L5Fj2uMU1XkSc9T0AkYTjslA4NfexHz3NQNxxIjfFWY/VHUmSzkwc37xzx35SmQzd4SFhC/qsE7qGF5IbvUWT6WEiV4oAvqZyMPx+/BdcgP+CCwBn1J3u6HAE6+k9xJ55ht4HHqDnXie72ayvx3f22XjXrsF39hp8a87GrKkp5S1o5pCKECil4JW+GIn0xIkNxRJNpvndi91sDXXy5KHeYbGpGp+LDac38frWZs5YGsQYIUq55ImOgRhLgj6uf83JXHHWEnzuobUwN16yik88vIfeaGpCgYLsKDBtMxhPk7FtMrazNupof5yOvhg2TqqlrSA4whA1t8A2ZxIrQjazcOI+2tc5SH805RynFNFUhkgyw/Fwkm2hzqJEaiKz2EJKbZA6k8yneykXRATX0qW4li4l+MY3Ao6jRWLfPmJ79xLbs5fYM3sJ79hBLivJffLJQ4K1dg2e1ladgDFPqYgpPp/fr5471DmtcyTTNjsP9LAl1Mkf9ncPG3353SavXd3IxtZmzltehzmOquSSH9IZm3A8RSKjcJmjbXUArvjadg72RJ00YVuNWYo9hwDL653quI6hK/n9TXESLHL7FNrdfPzhPXmhyRUZtG1Fjd/F7n+6fNzrrfn8r521NgWWP7l2tNT7Z8xKpxwNUqfKfLqXSiQzOJidGnQEK75nL+muLsBxwPC0teFbswb/q87Dv24dVkNDiVtcPugpvjIlYyuePtzH1lAnO/Z1EUkMLah0mcKrVzWwsbWZC1fW4xnDTmjn/h7u2vESh7NJEqYIXpcQSdgYhuC2HLPXO7a9xJqTaof51B3ojpKxbTyWScBvOVNv46iUAo72xzFFwIC0PeQsnhsMmQYcDydZ1RTIF/Fb3VzNwe4wA7GCqboqFysaAhP2i8sUYiny7cnJsWlI3kpnJh66hbY9AH63VVQBwnJkPt1LJWJWV1O1fj1V6534plKK9NGjxPY+Q2zvHuJ7n6Hv0Ufpve8+ADyrT8W/7kL86y+k6oILMGtrS9l8zRSZdwKllKK9Y5CtoU62vdBFT2QoLdwQeNXJdWxsbeaiUxsJeMa//Z37e/jyr0MMxIam6eIZRTztOJEb4qxxNsV50OceVLk3bce6SEjbit5oioYqN8cGE/nz5wQoRzKj8FiCZTjH5EZEAC4DzKypKwzZ3dxy9Vl89qfPsbjGmlQc6LRFQQ4cD3NswGlPrq0ea+qWP2NRKXWaimE+3ct8QERwLVmCa8kSgm/4CwBUOk38ueeIPLGT6BNPOIL1gx+ACN4zziCwYQOBDRvwnnmGLidSIcwbgTpwPMLWUCdbQ5109MeHfXfm0iAbW5vZcHoTdf7i5qof2n2YaDKNKYKZtZlJ25n8QtgcSoHHMvIPqtyb9qJqL6/0xxAF4KRfeyyDVMYetcBXCs4FjpC6TCM7BWdjiDGm3U2xcaCR5BIcPC4D21aIOLZNTdVTt/wpJBer6Rp0Uu0XVXvz8bO5tuqZKaZaTFEzd4hl5dPWueHdqGSS2LPPEnn8cSK//R3Hv/1tjt9xB1ZTE4ENryNw6aVUXXSRLilSxlS0QHX0x/hNqIstoU4OHB+ehr6qqYqNpzezsbWZxTXecc4wHBGhymMS9LroDCfyjgw5XNnCfrZyRmpKgY2i2uvKP6jyFWwzaQyGTD4tAz648VTu2PbSMBf0tK0wDLCyLhIoaKxy0xN1ihc2VLnojaZBweKgZ5TdzYbW5klPMeWE7dZftbOvK4xLhMU1Hkxj6pY/OQpjNYuDHo70xbPryFQ+flaJmX46a7HyELcb/3nn4T/vPJre9z7Svb2Et28nvG07A7/8FX0/ehgjEKD68ssJXnklVesvRObA91NTPBWXJNETSbLt+S62hjr5U8fwdOolNV5nrVJrMysbi48JukyDoNdFwGvlBem6ux7nqcO9KHsoS85WirRtY9vO9Fyu8GCN33GF2NDazHV3Pc6B42G6I0kMBFvZpLP7t9T5iCZSdEcdOyGPKVR5LCLJDNUek8aABxHHYbzQ4qbKbea3z7TdzUzb9IxcHzUYT3G036kEfN7yuorOfJvpvtKUDpVMEnniCQZ++SsGN2/GDocx6+sJXnkldW+7Bs/q1aVu4oxRyUkSFSNQX/3FXraEOnnq5d5hU2x1fheXtjbz+tZmWhdXT2pRn8/tjJaqxohFbQt18vGH99BXkCpuK6jymKhsKvdYHnTDC+MpUtlkwVxmnmUIdX6LwYTzBn5ac4BPXdE6bx502mFCU2nYiQThHTsY+PkvCG/dikql8J17LrXXvo3gFVdgeIubgSlXtEDNMobLq5Z/7JH871Uek0tWO2uV1rbUjpsWPua5RAh4LYJeF25r4kDptlAnt/6qnQPdTnxpVWMVSqlhzg8w2kHh/H/ZTDSRJpaWWK7sAAAJDUlEQVRVJ5dpOCMvBR7TwDIln40335wXtMNE+aHXbxVPuqeH/p/8D30PPUTy4EGMYJC6a6+l7m/fiau5MvtMC9QsY7i8avWnfpxPC1+3sv6E4jKSQqcHYxKCNpJiRgi5h/TLPVFMcYoaxlJOlVy3aZBRitbFwXk5stDrhcoL/feYGkoport20fuDHzK4eTNimtS8+Wrq3/UPeFatLHXzJkUlC1RFRARdpvDIe1897K28GJwS3M40XqHTw3QoJpsrF1A3DXGy5HDiVaYh0y4+V+5vw1PNLNTMDnr91tQQEarWraNq3TqShw7R/d3v0v/oj+l7+BGqL7+cpg99EM+pp5a6mfOeihhBTdZJIhcXqvZaWObMrnco9o00Nz24ryuMyzAIeq18Zt6yWu8wR4hiHxT6bVgzWXRMcOZId3fTc9999H7v+9jRKDVXbaLxAx/A3dJS6qZNSCWPoCpCoEy3V226fQtvv6CFdavqx93P6zIJ+lz5rLdCih15FLPfZLK5Zqr43LZQJx964CmiyQwey6Ax4CHoc81JfKfcR22a8dExwZkn3dtL9z330HvfD1CZDPXv+Bsa3/9+zGCw1E0bEy1Qs4zp9qrX3PJL0rbipo2rh4lULumh2mvhscaexpvMqKccRyi5dh3pi2IZAkqwUSyt8VHttWb1bbhc+0RTHPrvN3ukjnVy/Fvfou/hhzHr6mj6yIepfctbEHNmwgkzRSULVMX4ffhcJpYhPLDrMOAkPTQEPCyv99MY8IwrTjB8Ht6JS1l5z7mp7DfX5NrltUxAMAzBQDgeTsy6m0G59ommODa0NvPFq86kudpLfyxFc7VXi9MM4VrUzJJbvsjKRx7GvXIlR//5sxx827XE29tL3bR5Q0UkSeTwugyODcZZXOOdVMJEsT5q5eq3lmtXU7WHV/ri2CgQRSKtZt3NoFz7RFM8U3Eb0RSP94wzOPm+7zPwi19y7NZbOfDX19Dwj/9I4/veq22UpknFjKBMw3EOX9FQNelsvpY6v1NeooCxRh7F7jfX5NpV7XWxtNabN5T1u81Zfxsu1z7RaMoJEaHmTVdyys9/Rs2mTXTfeScH/uotRP/4VKmbVtFUjEAlM45l0FRGCzdesopURhFNpp31DSP87Ca731xT2K6Ax2JxjZdltX6+8fZzZ/3NuFz7RKMpR8zaWpbe+iVa7r4bFY8zuHlzqZtU0VRMksTbvrVtWtljxWbelavfWinbVa59otGUM3YkAqZZcqukSk6SqAiBqqqqUpFI5MQ7ajQajWYYlSxQFTPFp9FoNJqFhRYojUaj0ZQlWqA0Go1GU5ZogdJoNBpNWaIFSqPRaDRliRYojUaj0ZQlWqA0Go1GU5ZogdJoNBpNWVIRC3VFxAZipW7HNLGAdKkbUYbofhkf3Tdjo/tlfMbqG59SqiIHIxUhUPMBEdmtlDq/1O0oN3S/jI/um7HR/TI+861vKlJVNRqNRjP/0QKl0Wg0mrJEC9TccVepG1Cm6H4ZH903Y6P7ZXzmVd/oGJRGo9FoyhI9gtJoNBpNWaIFSqPRaDRliRaoWUBE/ktEOkXk2YJt9SKyWUT2Zf+tK2UbS4GItIjIb0SkXUSeE5GbstsXdN+IiFdEdorInmy/fCG7fUH3Sw4RMUXkKRH5efZ33S+AiBwUkWdE5GkR2Z3dNq/6RgvU7PBd4IoR224GtiilVgNbsr8vNNLAx5RSbcB64P0icga6bxLARqXUWuAc4AoRWY/ulxw3Ae0Fv+t+GeJSpdQ5BWuf5lXfaIGaBZRSO4CeEZuvBu7Nfr4XePOcNqoMUEp1KKX+mP08iPPQWcYC7xvlEM7+6sr+KBZ4vwCIyEnAlcA9BZsXfL9MwLzqGy1Qc8cipVQHOA9qoLnE7SkpIrICOBd4At03uWmsp4FOYLNSSveLw78DnwTsgm26XxwU8H9F5EkRuSG7bV71jVXqBmgWHiISAB4BPqyUGhCRUjep5CilMsA5IlIL/FhEzip1m0qNiLwJ6FRKPSkiG0rdnjLkIqXUKyLSDGwWkVCpGzTT6BHU3HFMRJYAZP/tLHF7SoKIuHDE6QdKqUezm3XfZFFK9QHbcGKYC71fLgKuEpGDwAPARhG5D90vACilXsn+2wn8GFjHPOsbLVBzx0+B67Ofrwf+p4RtKQniDJX+E2hXSt1e8NWC7hsRacqOnBARH3AZEGKB94tS6tNKqZOUUiuAtwNblVLvZIH3C4CIVIlIde4z8BfAs8yzvtFOErOAiNwPbAAagWPA54CfAA8By4GXgWuUUiMTKeY1InIx8FvgGYZiCp/BiUMt2L4RkTU4AW0T56XxIaXUF0WkgQXcL4Vkp/g+rpR6k+4XEJFVOKMmcEI1P1RK/et86xstUBqNRqMpS/QUn0aj0WjKEi1QGo1GoylLtEBpNBqNpizRAqXRaDSaskQLlEaj0WjKEi1QGo1GoylLtEBpFhQiUisi7zvBPitE5G+KONeKwpIqY3z/9yLyrXG++38jzyEiG3IlJTQajRYozcKjFphQoIAVwAkFajoopV4zm+fXaOYDWqA0C41bgVOyRd6+kv15Nlv47dqCfV6b3ecj2VHOb0Xkj9mfyYhLi4g8JiLPi8jnchtFJDzRQRqNRruZaxYeNwNnKaXOEZG3Au8B1uLYUu0SkR3ZfT6ulHoTgIj4gcuVUnERWQ3cD5w/9ulHsQ44C4hmz/8LpdTumb0ljWZ+ogVKs5C5GLg/W+rimIhsBy4ABkbs5wK+JSLnABngtElcY7NSqhtARB7NXlMLlEZTBFqgNAuZYgtRfQTH9HctzrR4fBLXGGl2qc0vNZoi0TEozUJjEKjOft4BXJutZtsEXALsHLEPQA3QoZSygb/FcR0vlstFpD5bRuPNwO+newMazUJBj6A0CwqlVLeI/D6b2v0rYC+wB2dk80ml1FER6QbSIrIH+C7wbeAREbkG+A0QmcQlfwd8HzgVpySCnt7TaIpEl9vQaDQaTVmip/g0Go1GU5boKT6NZpqIyBuAL4/YfEAp9VelaI9GM1/QU3wajUajKUv0FJ9Go9FoyhItUBqNRqMpS7RAaTQajaYs0QKl0Wg0mrLk/wPBGYlr2S9x+wAAAABJRU5ErkJggg==\n", | |
"text/plain": [ | |
"<Figure size 432x288 with 2 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"fig, ax1 = plt.subplots()\n", | |
"\n", | |
"sns.regplot(x=\"total_bill\", y=\"tip\", data=tips, ax=ax1)\n", | |
"\n", | |
"ax2 = ax1.twinx()\n", | |
"color = 'tab:red'\n", | |
"ax2.set_ylabel('count', color=color)\n", | |
"ax2.plot(xnew, smooth, color=color)\n", | |
"ax2.tick_params(axis='y', labelcolor=color)\n", | |
"\n", | |
"fig.tight_layout()\n", | |
"plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 27, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 432x432 with 3 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"g = sns.jointplot(x=\"total_bill\", y=\"tip\", kind=\"hex\", data=tips)\n", | |
"sns.regplot(x=\"total_bill\", y=\"tip\", data=tips, scatter=False, ax=g.ax_joint)\n", | |
"plt.show()\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "db_covid19", | |
"language": "python", | |
"name": "db_covid19" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.8.2" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 4 | |
} |
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