diff --git a/共享单车数据分析/src/.keep b/2、幸福感数据分析/第5组-杜佳璐/第5组实战/.keep
similarity index 100%
rename from 共享单车数据分析/src/.keep
rename to 2、幸福感数据分析/第5组-杜佳璐/第5组实战/.keep
diff --git a/2、幸福感数据分析/第5组-杜佳璐/第5组实战/horse analysis.ipynb b/2、幸福感数据分析/第5组-杜佳璐/第5组实战/horse analysis.ipynb
new file mode 100644
index 0000000..ff503fc
--- /dev/null
+++ b/2、幸福感数据分析/第5组-杜佳璐/第5组实战/horse analysis.ipynb	
@@ -0,0 +1,807 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from sklearn import preprocessing\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.metrics import accuracy_score,confusion_matrix,roc_curve,roc_auc_score\n",
+    "from sklearn.ensemble import RandomForestClassifier,BaggingClassifier,AdaBoostClassifier\n",
+    "from sklearn.naive_bayes import GaussianNB\n",
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "from sklearn.svm import SVC\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "# 中文正常显示\n",
+    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
+    "plt.rcParams['axes.unicode_minus'] = False"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 数据处理"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>直肠温度</th>\n",
+       "      <th>脉搏</th>\n",
+       "      <th>呼吸频率</th>\n",
+       "      <th>红细胞体积</th>\n",
+       "      <th>总蛋白值</th>\n",
+       "      <th>y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>38.5</td>\n",
+       "      <td>66</td>\n",
+       "      <td>28</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>8.4</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>39.2</td>\n",
+       "      <td>88</td>\n",
+       "      <td>20</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>38.3</td>\n",
+       "      <td>40</td>\n",
+       "      <td>24</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>6.7</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>39.1</td>\n",
+       "      <td>164</td>\n",
+       "      <td>84</td>\n",
+       "      <td>48.0</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>37.3</td>\n",
+       "      <td>104</td>\n",
+       "      <td>35</td>\n",
+       "      <td>74.0</td>\n",
+       "      <td>7.4</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   直肠温度   脉搏  呼吸频率  红细胞体积  总蛋白值    y\n",
+       "0  38.5   66    28   45.0   8.4  0.0\n",
+       "1  39.2   88    20   50.0  85.0  0.0\n",
+       "2  38.3   40    24   33.0   6.7  1.0\n",
+       "3  39.1  164    84   48.0   7.2  0.0\n",
+       "4  37.3  104    35   74.0   7.4  0.0"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(\"data_horse.csv\",encoding=\"gbk\")\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "y        1.000000\n",
+       "直肠温度     0.172629\n",
+       "总蛋白值     0.114651\n",
+       "呼吸频率    -0.036938\n",
+       "红细胞体积   -0.152119\n",
+       "脉搏      -0.276255\n",
+       "Name: y, dtype: float64"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "## 可视化列的缺失值、唯一值、类型\n",
+    "df.corr()\n",
+    "# 可视化变量y与其他的相关性曲线\n",
+    "df.corr()['y'].sort_values(ascending=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>直肠温度</th>\n",
+       "      <th>脉搏</th>\n",
+       "      <th>红细胞体积</th>\n",
+       "      <th>总蛋白值</th>\n",
+       "      <th>y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>38.5</td>\n",
+       "      <td>66</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>8.4</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>39.2</td>\n",
+       "      <td>88</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>38.3</td>\n",
+       "      <td>40</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>6.7</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>39.1</td>\n",
+       "      <td>164</td>\n",
+       "      <td>48.0</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>37.3</td>\n",
+       "      <td>104</td>\n",
+       "      <td>74.0</td>\n",
+       "      <td>7.4</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   直肠温度   脉搏  红细胞体积  总蛋白值    y\n",
+       "0  38.5   66   45.0   8.4  0.0\n",
+       "1  39.2   88   50.0  85.0  0.0\n",
+       "2  38.3   40   33.0   6.7  1.0\n",
+       "3  39.1  164   48.0   7.2  0.0\n",
+       "4  37.3  104   74.0   7.4  0.0"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 剔除相关性绝对值小于0.1的变量\n",
+    "df = df[df.columns[df.corr()['y'].abs()>0.1]]\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "直肠温度     0\n",
+       "脉搏       0\n",
+       "红细胞体积    0\n",
+       "总蛋白值     0\n",
+       "y        9\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#可视化每一个变量\n",
+    "import warnings\n",
+    "warnings.filterwarnings(\"ignore\")\n",
+    "for i in df.columns:\n",
+    "    plt.figure(figsize=(10,5))\n",
+    "    plt.title(i)\n",
+    "    # 设置字体旋转角度\n",
+    "    plt.xticks(rotation=90)\n",
+    "    sns.countplot(df[i])\n",
+    "    plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "直肠温度     69\n",
+       "脉搏       26\n",
+       "红细胞体积    36\n",
+       "总蛋白值     42\n",
+       "y         9\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 我们认为这些变量中的0值都是不合理的，所以我们将除了y(最后一列)以外的变量中的0值都替换为np.nan\n",
+    "df[df.columns[:-1]] = df[df.columns[:-1]].replace(0,np.nan)\n",
+    "df.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "直肠温度     0\n",
+       "脉搏       0\n",
+       "红细胞体积    0\n",
+       "总蛋白值     0\n",
+       "y        9\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 用众数填充缺失值\n",
+    "# 观察发现直肠温度列是正太分布的，因此可以用均值填充缺失值，其他使用中位数\n",
+    "df['直肠温度'] = df['直肠温度'].fillna(df['直肠温度'].mean())\n",
+    "df[['脉搏','红细胞体积','总蛋白值']]  = df[['脉搏','红细胞体积','总蛋白值']].fillna(df[['脉搏','红细胞体积','总蛋白值']].median())\n",
+    "df.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "## 删除缺失值\n",
+    "df = df.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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akiRJlRhoSZIkVWKgJUmSVImBliRJUiUGWpIkSZUYaEmSJFVioCVJklSJgZYkSVIlBlqSJEmVDOVeh9J4nzl1l7a0vz/woiloiSRJ9TiiJUmSVImBliRJUiUGWpIkSZU4R0srrQ+c3j5PDOAfX+JcMUnSYDiiJUmSVImBliRJUiUGWpIkSZUYaEmSJFVioCVJklSJgZYkSVIlBlqSJEmVGGhJkiRVYqAlSZJUiYGWJElSJQZakiRJlRhoSZIkVeJNpTVyPnnq89vSXnHgxVPQEkmSHhpHtCRJkiox0JIkSarEQEuSJKkSAy1JkqRKDLQkSZIqqRJoRcS8iLiy5fXJEXF1RBxVoz5JkqRRNPBAKyLWAT4JrNW8XgTMysxtgU0jYvNB1ylJkjSKaoxoPQC8GLineb0QOKN5fjGwXYU6JUmSRs7AA63MvCcz725JWgtY2jy/A5g3fp+IODgilkTEkmXLlg26SZIkSVNiGJPh7wXWaJ6v3anOzDwpMxdk5oK5c+cOoUmSJEn1DSPQupblpwu3BG4aQp2SJElTbhj3OjwXuDIiNgJ2A7YZQp2SJElTrtqIVmYubP69hzIh/hpgx3HztyRJkmasYYxokZl3svzKQw3BlR/bvS1t+9dcwCUfb08H2OnVF9Ru0kP28f/epWP6q19+ESee1p53yAEXVWnHv5yxa1vav+53YZW6JE0Pl3+q84Vcz3mZ845Xdq4ML0mSVImBliRJUiUGWpIkSZUYaEmSJFVioCVJklSJgZYkSVIlBlqSJEmVDGUdLU1/55+yW1vaHq/8Mud0SAfY55Vfrt0kSdI4P//QLW1pj33jBlPQEo1xREuSJKkSAy1JkqRKDLQkSZIqMdCSJEmqxMnw+quLTn5BW9our/pS3+Wd8Yn2my8D7HeQN2AeRS8459/a0r60zz8PtQ27n3VSx/QLFh881HZI0qA4oiVJklSJgZYkSVIlBlqSJEmVOEdrxF174p5tac845ItT0BJNhd3OW9SW9uW9zi55X3hNe94LP1a9TdJEvPbsX7al/deix0xBSwbnq6cv65j+vJfMHWo7bjj+1ra0Jx46b6ht6OXW/7y+Y/q8f9hyyC0ZDY5oSZIkVWKgJUmSVImBliRJUiUGWpIkSZU4GX4EfPf4vTqmP+XQ83rud81Je7SlbXPw+QNpk/rzljPbF2l9774XctjZnRdvPW7R4BdvfcG5R3RM/9Lex/ZX3jnv6VzePm/tq7x+7X7WyW1pFyx+1VDboLrec87NbWlv3WfDFe53ytm3taW9ctH6nH7W7R23f8ni9SbfuIfg6k+2T6Lf9hVlAv21p7S3/RmvXL96mzQ8jmhJkiRVYqAlSZJUiYGWJElSJc7R0oz3kU/v0pb2+pdeNAUtWbnsfvaH29IuWPSGKWiJ1O6cM9vnb+2z73Dnbk13txz7g7a0DY540hS0ZLQ5oiVJklSJgZYkSVIlBlqSJEmVrBRztG478YNtaesf8qa+y1v60dd1TN/48BN67vejj76wLe3xh3+h73aonmM+2z6vC+DI/Z3b1Wr3sz/QMf2CRf+4gv2O77DPoX23Y4+zPtmWdv7iV/RdnpZ70Vnf75j++cVP5sVn/7Qt/XOLNutZ3tvOWdox/eh9Np584yq54HPt87d2f/Fw529996T29bUAnnJwf2tsLX1f+xplABu/eUNufl/7DcABNnzz4G8CfusHl7SlzXvTgpL3oavb8964bcn78BXteW/Ygds+cknHetZ//U4PpZkD5YiWJElSJQZakiRJlRhoSZIkVWKgJUmSVMlIToZfdsKn2tLmvu5lJe/ET7TnHXIQy048sWNZcw85pGddt55wdFvavNe9jZuPP7Lj9hseekzP8n7x4X3a0jZ5wzk995GG5QXnvr0t7Ut7v3sKWjI8e5zZ/n1y/r4vY48zT++4/fn7voQ9zjyjQ/p+AOx55llteV/cdzF7nnlux/K+uO/e7HVm55u9n7fvHrzwzPYbi39h33IT8r3P/Gpb3rn7Po99zrqsY3nnLF7IorO+3pZ+9uLtAFh81jfa8s5a/Ez2Peu6juWdufhpHdOnwkfPubUt7fB95k1BS1Yut7z/J21pG/zT46agJZN320fbL15a//BdmrwLOuTtzm3HnduxrPUP25vbjv98X+0Y2ohWRJwcEVdHxFHDqlOSJGkqDSXQiohFwKzM3BbYNCI2H0a9kiRJU2lYI1oLgbGx+IuB7YZUryRJ0pSJzKxfScTJwIcz8/qIeD7w9Mx8T0v+wcDBzcsnADe27L4e0L56XPf0fvMGXd5Mrcu2z/y6bPvMr8u2z/y6pnPbh1nXIMrbJDPndtkOMrP6A/gQsE3zfBHwtknsu2Qy6f3mDbq8mVqXbZ/5ddn2mV+XbZ/5dU3ntk/3fhr/GNapw2tZfrpwS+CmIdUrSZI0ZYa1vMO5wJURsRGwG7DNkOqVJEmaMkMZ0crMeygT4q8BdszMuyex+0mTTO83b9DlzdS6bPvMr8u2z/y6bPvMr2s6t32YddVo+4MMZTK8JEnSyshb8EiSJFVioCVJklSJgZYkSVIlI3VT6Yh4JPB04Grg/4C9gLsy8ysR8eTM/H5ErAK8ANgcuD4zL2n23YyyhMQ8SgB5E/DTzPzfbvu01Hs4ZbL+LyiLkH0oM7/VpY07AI8AvpaZfxiX16kNFwCrdTou4DfdjikiTgA+1qMdTwd+BdwBHAQkcDqwoFv7erUxM3/XpZ7ZwK7AbZn5zZb0FwGXdDquzPxKh3JOysyDV/Q+tmw/mfekY19k5h/6eb9q98VYfzTHNNm+eD/wz3T5bNgXw++LFfVHZn6+V5k9vjfWH8Y+/eZZ18xv+3Sua5jt6/XdACM0Gb4Jsi4FLgK2Au4EvgvMoRzQkzJzp4j4OCVAvBbYG7gK+BOwGeX2PncAa1PW6/onYFPg6A77fCMzL4iIvYCtgU819Z4AnEJ5k07IzMtb2vg+4NHAbcAuwKnAf2bmnyLibV3asD/wAPClDse1KDMf1eWY9gSu7NKOE4C/adryA8pK+s9sHt/o1L5mv25tfBHlatDbOrwvZwG3AnObNh+Umb+OiCua153er/0pK+beMlYM8FTgOoAe72M/70m3vpjTtGey79eg+2IV4FnAwzr0R2bmupPsi0OANenw2bAvpqYvVtAflwBf7VHmucAGHfJe1+x3XuV9+s2zrpnf9ulc1zDb1/O7ARjOyvATeQDPA45snu8AfLQl7zLgkub5NS3ps4Drgau6lPlLYN8u+xwHnEn5Vbx+S/6dzb8bAe+mfNEfS/nSv7xluz2ajr8WeGmPNnwe+HSX47qzxzFd0qMd32zyHgEc1bLfn7u1r0nr1sZfAz+ljESMPS5t/r2wZbttgW8Cz6UETd3er6uA0ygB0t80aZc2//Z6H/t5T7r1xT19vl+D7ovLKL9+2vqjz764vMdn40f2xfD7osnv1h+X9CjzA8ANXfKWAvsOYZ9+86xr5rd9Otc1zPZ9oFNdrY9ROnV4LfCvEfG1zLwCuAIgIg4A7geeEBHHAGtFxLzMvBV4crPvDyPiFMqNq5cCawDbU6LPZ3XaJzMPi4jtKWthzG9OX2xGOdVBZv4GeHtERFPWLsDvImIryh+TZwLvA74NvLlHG54A/CEitu5wXA/rcUzRox3LIuIlwN8Bm0TE2sAWTT3d2tern+6kjDAszrLm2V9FxJci4rmZ+bXMvDoidm323wTYo8v79fvMPCAidgTOiYjjKadtADbrdsx9vifd+uKXfb5fg+6L+5tj7NQf/fTF2KhJp/7Y074Yfl80/tKlP7ZsjrNTmTsB3+iStzrwwoi4t/I+/eZZ18xv+3Sua5jt2wn4N3oYmUArM++MiN0pX4atNgT2A37H8i/KR0XEncDbgb/PMrdjH8qq82sB91ICt7mUU4c/Hr9PU+eVEfEU4OWUU3U/pvwqbm1XUv5YXBER84H/oMwfOTMzr2o2eydAlzY8m/JLutNxbUz5w9R2TJQ3sFs75gAHAN8H/otyL8k5wMsop0s7ti8zX92ljc9q2vgX2u1P+aX/taaMOyJiN+BVwGe7HNd+zbaXRsTXgbc25UN5Pzq+j80+k31PuvXFQcAyJv9+VemLLv3RT1+8kvI+t/VHEzzYF8Pvi579kZkndilzhyzzPjrlPZYyyl97n37zrGvmt3061zXM9u2Q02WOliRJ0kyzylQ3QJIkaaYy0JIkSapkWgRaEdF1olk/ecPaZ1Tq6rXPqLRjFMqbqXWNennDrGtU/m/VqG8mvl8zta7p3PbpXNcw2/cgvS5JHPYDeCSwM2V9itUp61PsDPxtr7wuZZ0EPHGi6Q91H+DJzetVKJeM/wPlaoReeXv0sU9f5XVo9+GUS+Y/AGy7ovR+80a1PMryAk/v0C+nd0n/2x779Js36Lr6Kq/59+mUi0dmAa+mTGr/u27pvfbpN2+EytuBMuF+zXF92DF9Bd9pXfP7yRvWPtY1vcqzrtFrX+tjZCbDR+8FS9ekLFTYKW8Vui+COJuyMnSnhTPnDHCf66DrQpz/Azy7S96mmfnYSe7TV3mZ+Y6I2D07L/x4ZGY+qUP6IcDRXfbplTfq5fVa6PK6Tuk18kaovG6Lez6r2Wd8+hzg51326Tdv0HX1W17HxUyBf++Uns1iwE0/9rOi/CNZwSr6MW41/My8uVse5XM98DaM2/4kKqzk32z/dCZ5x4s++73bSv4HUdZMm3Bf5ATveDGovsgedzYYcF+8iOHd/aNnf0z2uFZwTD/op32ZeXO3fl+RUQq0ngdslZnHNAezX2Ye3uRdD3y2S95lwIspb9S9wP/LzHsi4lLKJddt6Zm5Y0TMG9Q+Td4lTfBzTWZu07RtFvAt4Ldd8u7KzIdPcp++ysvMLSPiOMoH9SbgvdmsZBsRSyn/kcanXw58r8s+vfJGvbzLgQeaPtwIOIzyH+obwPMyc4sO6VcAb+iyT795g66r3/LelplbR8QjgNdn5ruaz839mTmrQ/qdlMX7Ou3Tb96g6+q3vOsy8znN52QPymjXoymjWH/bIf3YzPx09Le6fq8fl4/NzD0n+QPiXZTVsAfVhl4/YjMHuJJ/05ZJ3/Gin35v6jqLcSv5A3+k/FE9YZJ90euH9q2Z+fcD7Is5dP8xcMSg+iKHf/ePXj9++/m/1e2YLnkI7fufTv2eLT+2usoVDHkN6wGs0xzo1uPSD6BZXblL3sUtr3ekrGOzmGbF5l7pg9yH8h/0GMoHcV6TtgVlZetueff3sU9f5bW0fXvgh5TTaM+n3KrgjG7pvfaZ5uVdOu49DcqpoZu6pL+7xz795g26rn7LuwB4SfP8U5QvsmdR1q7rlP69Hvv0mzfouvot73zKF+tsyijWsylr5vyoS/o7m/7stfr7D4AltK8qfx3dV9FfSvfV8I/rknf3BNtwacujVxsuo/5K/v9D57s8vKOlzK53vJhEv7ce8yV0Xsn/zZT7406qL5p/u/XH7QPui3vofmeDG/v4DF4CXNShL567gs/GVX30xYo+G5eO64+rmv744SSOa+w9/m2XY7rkIbSv6x0lOrXvQW1d0QbDfFAizx3Gpb2lSe+aNy5tVeAdrZ3SK31Q+zRv1NMof8ifQbmR9Ocoq1t3y3tKH/v0Vd64ts+mLPb4EeANwNq90vvNG+XygEO6fAY7ptfIG6Hy5gCvpywO+hjgZOAsyg+KTulb9din37xB19VvefMp/2e+RRnpG+ujjukt+R+n3I9zV8r/w62Bf6T8sXoc8GWaP0gt+/T6cXkx5VTJRH9AHAL8rEsbvt1vG1peP+jHJct/7H2P5T/qnkLzo65D+1b0A6c14D+aEgCvRfkjeQ8PDnKf1eS9s0u/H9Gr35t6vwQ8d1w/XEY5PTa+L17Wqy+atE79MfbDuNN7NdG+mMiPgbH++FaX9/86yojQRPtiXcrI6B3A13t9NibbFyv4bIwf0Bjrj293Oa5vd3uPu7y/XwV+S+eBiol8drv1+zu7fbeOPUbm1KEkTWdRVo1eyINXjT43y4rScygjM/eO22cOsEWW2xWNpb2Fco/Ux1FOmb2Mcrr3VOD4zPx9s91sykr5TwNeSxllexRlRexdgfWa/b5ACSiXAn9u2rg58O0sK/RvR/mjdhXL56zMplzo86hcPp9l96ausWBhVUowOAe4j/LDdwfKlJTvN+07lPJH7R2UFfoPysyPdpof07TjacBdTXtOpZyuOhRYRLkg4Qzg97TMqWnp90Mpp542ARZm5q/G+h14BSUoGJsP9HvKSMQJLXNxfkkZCf1aZl4REYdRLibau+mH1rlxb6Ccrvs2ZXTjNkowsQ0lUHkGZU7VB7Pc1WCsL17Y1DUf2D0zT2zKO2xc+/5ICWh+23wOntP0ywcp87b+o+m7syhzqG6inCb7TvMZWJuWzyDwXkpQemOHz+ApwM8y810taatSLhB5KuVevVe25L2Fcmu54zLzW822b6VMXXhOc0ruREpQ8k1KQHMa5TY1hwMfa9o59tn9CeXHzu2Ui5iuY5yIeHPTZ6tTAtD3UE7b3RsRCyinCX/D8rls5wOvoXzmxua4rUL5zJ7Y9NmulIDsGZTP6PaZ+YMoc+N+TXnfjwX+pdlnbtPODYDPNHUmzby58W1+UPsNtCRpdExy3lQ0uz2VB8+bWpVySmVvSgC1XS6fl9JvXrcLb7rt87Em79qKdfWaUzPZC2UWUEYra1zIsydljtUgLuTplncCZeRnHiUgH38xzBVN3jAuvOlV16TasYL5aj/vktftYph1KCO/4/fZhnKadqy8R1FGtSZ0EU1m7koPBlqS9BA1E4fXpJzm+msy5Rfv7EnmrQs8PDM3i8ld/JM5+QtoBn7hTcs+38jMZ1au6+v0dzHMdL6Qp1veXZk5JyZ/Mcwbs1zQNZm8Xhfe9Cqvn4t89sjMx0/ywpZhXshzZ2b+DT3M7pUpSZqQF1FOdb04M1uDJqJcrTzhvIhYBzg/IrZuTile0aQfQPkDcitwQETsCJwTEcdTgrbNIuIYYK2ImNds9+SmqkHnrT6BfdasXVdmHhYR21NOc86PsvTEZpSr/frJu4oyl3NUy+uVd3/TJ78B3h4RQZlvtAvNyGeXPPrIW9Rneb3a0S1vz4h4CWVtvE0iYm2W34B+WZe8P/Sxz0PJ6y1XMInLhw8fPnys+EE5vbD2IPLo4+If+ruAZuAX3gyzrpZ+GNkLb2qU1yXvjT0+m6Ny4U0/dc1h6i+u6Zm3ou8GTx1KkiRVsspUN0CSJGmmMtCSJEmqxEBL0rQWxaqT3GdWRGy9gm0e1vJ81cnWIUngVYeSpoEo6xDdnplXN68/Q1n88j5gQ+DjEXF/s/njKYsU3k5Zb+ppwPzM/GNLkTtT7tf2zR7Vnttc7fYLyiKd20fEOyiTtn+RmX8e2AFKmrEMtCRNB1dTVpTeJyKeTVm75j746+XgL4iIIykrPe8JrEFZcPCRlBWk/wgQES+nXKk1H7g7yrpUY67IzH9uttuMstr56pSlG7Zqnu9L+d48jrKKuCT1ZKAlaaRFxKMoq4Hf0BoYRcRdwHqZ+eeI2Bw4mLKI55rAzZQFHZfy4FGrjSk3xz1zXB3zKbc1GXM0JVD7KnAkZaXov1BWj/73zDTIkjQhBlqSRt39wIWZeWBrYhN0PRARC4H3URY33JJyr79tgb0o9x1cPyI+kJknUG4a3E025b6oKefnmfmXiFiLct85KPf7W2cgRyVppWCgJWnUrQIsGHeaD8rNXWdRbiZ7GM3pQMpKzTcA1zfb/Sib25Q0/j0i3jSurNWBnzbPvw+8iXILECinIR/XPF+/76OQtFIy0JI06u6j3PB3LWAxcEZm3hURmwB/ycwfNaNQzwAupJw6XJXy/bYr8G3gsy3lvaPLqcP3AGTmDyJizZbsDYFXN883AL4y0KOTNKMZaEkadZ+lnBrcEbgE+CBwIOX+aFtTgqAA9ga2ATahBF13UeZU9bqycCJuB85tnvdcEkKSxjPQkjSyImIjyojWXcCfM/NrEfG/zQjUA8DNEfF04FJKIHYP8DbgRspI1oeA77QWSfdThz8ft90qETGLcjry6036nKZdszLzgYEcpKQZzXsdShpZEbExZYRqKXAl8LMmayPK1X+nRcQTKfOq7qAEZHdRgqO7KYHXVsA2mXlvRBwF3NDl1OGxmbmoeb0dZRmIjWmfQB/AaZn5WSRpBQy0JE1rERHArG4LiEbEIzPzt83zNSkjY/d32laSBs1AS5IkqRLvdShJklSJgZYkSVIlBlqSJEmVGGhJkiRVYqAlSZJUyf8HTkAOHCuSc+IAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 再查看一下每个变量的分布\n",
+    "for i in df.columns:\n",
+    "    plt.figure(figsize=(10,5))\n",
+    "    plt.title(i)\n",
+    "    # 设置字体旋转角度\n",
+    "    plt.xticks(rotation=90)\n",
+    "    sns.countplot(df[i])\n",
+    "    plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>accuracy_score</th>\n",
+       "      <th>confusion_matrix</th>\n",
+       "      <th>time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>GaussianNB</th>\n",
+       "      <td>0.768519</td>\n",
+       "      <td>[[23, 18], [7, 60]]</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>LogisticRegression</th>\n",
+       "      <td>0.75</td>\n",
+       "      <td>[[22, 19], [8, 59]]</td>\n",
+       "      <td>0.002009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AdaBoostClassifier</th>\n",
+       "      <td>0.740741</td>\n",
+       "      <td>[[24, 17], [11, 56]]</td>\n",
+       "      <td>0.062897</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>RandomForestClassifier</th>\n",
+       "      <td>0.731481</td>\n",
+       "      <td>[[27, 14], [15, 52]]</td>\n",
+       "      <td>0.159735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SVC</th>\n",
+       "      <td>0.722222</td>\n",
+       "      <td>[[20, 21], [9, 58]]</td>\n",
+       "      <td>0.004007</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>KNeighborsClassifier</th>\n",
+       "      <td>0.712963</td>\n",
+       "      <td>[[21, 20], [11, 56]]</td>\n",
+       "      <td>0.003</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BaggingClassifier</th>\n",
+       "      <td>0.657407</td>\n",
+       "      <td>[[27, 14], [23, 44]]</td>\n",
+       "      <td>0.017781</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DecisionTreeClassifier</th>\n",
+       "      <td>0.546296</td>\n",
+       "      <td>[[15, 26], [23, 44]]</td>\n",
+       "      <td>0.002382</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       accuracy_score      confusion_matrix      time\n",
+       "GaussianNB                   0.768519   [[23, 18], [7, 60]]       0.0\n",
+       "LogisticRegression               0.75   [[22, 19], [8, 59]]  0.002009\n",
+       "AdaBoostClassifier           0.740741  [[24, 17], [11, 56]]  0.062897\n",
+       "RandomForestClassifier       0.731481  [[27, 14], [15, 52]]  0.159735\n",
+       "SVC                          0.722222   [[20, 21], [9, 58]]  0.004007\n",
+       "KNeighborsClassifier         0.712963  [[21, 20], [11, 56]]     0.003\n",
+       "BaggingClassifier            0.657407  [[27, 14], [23, 44]]  0.017781\n",
+       "DecisionTreeClassifier       0.546296  [[15, 26], [23, 44]]  0.002382"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 由于变量的取值范围不一样，因此需要对数据进行标准化\n",
+    "import time\n",
+    "X_train,X_test,y_train,y_test = train_test_split(df[df.columns[:-1]],df['y'],test_size=0.3,random_state=0)\n",
+    "X_train = StandardScaler().fit_transform(X_train)\n",
+    "X_test = StandardScaler().fit_transform(X_test)\n",
+    "\n",
+    "model_result = {}\n",
+    "\n",
+    "models = [RandomForestClassifier(),BaggingClassifier(),AdaBoostClassifier(),GaussianNB(),LogisticRegression(),DecisionTreeClassifier(),SVC(),KNeighborsClassifier()]\n",
+    "for model in models:\n",
+    "    try:\n",
+    "        model_name = str(model).split('(')[0]\n",
+    "        start = time.time()\n",
+    "        model.fit(X_train,y_train)\n",
+    "        y_pred = model.predict(X_test)\n",
+    "        end = time.time()\n",
+    "        # 存储准确率和混淆矩阵\n",
+    "        model_result[model_name] = [accuracy_score(y_test,y_pred),confusion_matrix(y_test,y_pred),end-start]\n",
+    "    except Exception as e:\n",
+    "        print(model_name,e)\n",
+    "\n",
+    "## 使用df保存模型的结果\n",
+    "df_result = pd.DataFrame(model_result).T\n",
+    "df_result.columns = ['accuracy_score','confusion_matrix','time']\n",
+    "\n",
+    "df_result.sort_values(by='accuracy_score',ascending=False)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 对数几率回归"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.75"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#第1步：导入算法\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "#第2步：创建模型：逻辑回归（logistic regression）\n",
+    "model = LogisticRegression()\n",
+    "#第3步：训练模型\n",
+    "model.fit( X_train , y_train )\n",
+    "#查看模型的正确率\n",
+    "model.score(X_test , y_test )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## SVC"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 0.72\n"
+     ]
+    }
+   ],
+   "source": [
+    "clf = SVC(kernel='rbf', C=1.0, random_state=0)\n",
+    "clf.fit(X_train, y_train)\n",
+    "y_test_pred = clf.predict(X_test)\n",
+    "print('Accuracy: %.2f' % accuracy_score(y_test, y_test_pred))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cm = confusion_matrix(y_test, y_test_pred)\n",
+    "sns.heatmap(cm, annot=True, fmt='d')\n",
+    "plt.xlabel('Predicted Label')\n",
+    "plt.ylabel('True Label')\n",
+    "plt.title('Confusion Matrix')\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.9.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/2、幸福感数据分析/第5组-杜佳璐/第5组实战/垃圾短信识别.zip b/2、幸福感数据分析/第5组-杜佳璐/第5组实战/垃圾短信识别.zip
new file mode 100644
index 0000000..bfbe400
Binary files /dev/null and b/2、幸福感数据分析/第5组-杜佳璐/第5组实战/垃圾短信识别.zip differ
diff --git a/2、幸福感数据分析/第5组-杜佳璐/第5组实战/实例_数据处理_泰坦尼克号幸存.ipynb b/2、幸福感数据分析/第5组-杜佳璐/第5组实战/实例_数据处理_泰坦尼克号幸存.ipynb
new file mode 100644
index 0000000..e375b51
--- /dev/null
+++ b/2、幸福感数据分析/第5组-杜佳璐/第5组实战/实例_数据处理_泰坦尼克号幸存.ipynb
@@ -0,0 +1,2786 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import itertools\n",
+    "from scipy import stats,integrate\n",
+    "plt.rcParams['font.sans-serif']=['SimHei']  #用来正常显示中文标签\n",
+    "plt.rcParams['axes.unicode_minus']=False   #用来正常显示负号"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "## 1 数据预处理"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Braund, Mr. Owen Harris</td>\n",
+       "      <td>male</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
+       "      <td>female</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Heikkinen, Miss. Laina</td>\n",
+       "      <td>female</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>7.9250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Allen, Mr. William Henry</td>\n",
+       "      <td>male</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   PassengerId  Survived  Pclass  \\\n",
+       "0            1         0       3   \n",
+       "1            2         1       1   \n",
+       "2            3         1       3   \n",
+       "3            4         1       1   \n",
+       "4            5         0       3   \n",
+       "\n",
+       "                                                Name     Sex   Age  SibSp  \\\n",
+       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
+       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
+       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
+       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
+       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
+       "\n",
+       "   Parch            Ticket     Fare Cabin Embarked  \n",
+       "0      0         A/5 21171   7.2500   NaN        S  \n",
+       "1      0          PC 17599  71.2833   C85        C  \n",
+       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
+       "3      0            113803  53.1000  C123        S  \n",
+       "4      0            373450   8.0500   NaN        S  "
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 导入，读取数据\n",
+    "titanic_df = pd.read_csv('data//train.csv')\n",
+    "titanic_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "数据集的属性列表：\n",
+    "- PassengerId – 乘客编号，每个ID对应与唯一的乘客\n",
+    "- Pclass – 船舱等级，1 一等舱，2 二等舱，3 三等舱\n",
+    "- Sex – 乘客性别，0 男性，1 女性\n",
+    "- Age – 乘客年龄\n",
+    "- SibSp - 同辈亲属数量（比如兄弟姐妹或者配偶）\n",
+    "- Parch – 非同辈亲属数量（比如父母和子女）\n",
+    "- Fare – 船票价格\n",
+    "- Embarked – 上船的港口，0S (South Ampton), 1C (Cherbourg), 2Q (Queenstown)\n",
+    "\n",
+    "数据集的标签：\n",
+    "- Survived – 该乘客是否幸存， 0 遇难，1幸存"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 891 entries, 0 to 890\n",
+      "Data columns (total 12 columns):\n",
+      " #   Column       Non-Null Count  Dtype  \n",
+      "---  ------       --------------  -----  \n",
+      " 0   PassengerId  891 non-null    int64  \n",
+      " 1   Survived     891 non-null    int64  \n",
+      " 2   Pclass       891 non-null    int64  \n",
+      " 3   Name         891 non-null    object \n",
+      " 4   Sex          891 non-null    object \n",
+      " 5   Age          714 non-null    float64\n",
+      " 6   SibSp        891 non-null    int64  \n",
+      " 7   Parch        891 non-null    int64  \n",
+      " 8   Ticket       891 non-null    object \n",
+      " 9   Fare         891 non-null    float64\n",
+      " 10  Cabin        204 non-null    object \n",
+      " 11  Embarked     889 non-null    object \n",
+      "dtypes: float64(2), int64(5), object(5)\n",
+      "memory usage: 83.7+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 观察数据完整性\n",
+    "titanic_df.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "有三个属性存在数据缺失：**Age，Cabin 和 Embarked\n",
+    "**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Fare</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>714.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>446.000000</td>\n",
+       "      <td>0.383838</td>\n",
+       "      <td>2.308642</td>\n",
+       "      <td>29.699118</td>\n",
+       "      <td>0.523008</td>\n",
+       "      <td>0.381594</td>\n",
+       "      <td>32.204208</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>257.353842</td>\n",
+       "      <td>0.486592</td>\n",
+       "      <td>0.836071</td>\n",
+       "      <td>14.526497</td>\n",
+       "      <td>1.102743</td>\n",
+       "      <td>0.806057</td>\n",
+       "      <td>49.693429</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.420000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>223.500000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>20.125000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>7.910400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>446.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>28.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>14.454200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>668.500000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>38.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>31.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>80.000000</td>\n",
+       "      <td>8.000000</td>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>512.329200</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       PassengerId    Survived      Pclass         Age       SibSp  \\\n",
+       "count   891.000000  891.000000  891.000000  714.000000  891.000000   \n",
+       "mean    446.000000    0.383838    2.308642   29.699118    0.523008   \n",
+       "std     257.353842    0.486592    0.836071   14.526497    1.102743   \n",
+       "min       1.000000    0.000000    1.000000    0.420000    0.000000   \n",
+       "25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n",
+       "50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n",
+       "75%     668.500000    1.000000    3.000000   38.000000    1.000000   \n",
+       "max     891.000000    1.000000    3.000000   80.000000    8.000000   \n",
+       "\n",
+       "            Parch        Fare  \n",
+       "count  891.000000  891.000000  \n",
+       "mean     0.381594   32.204208  \n",
+       "std      0.806057   49.693429  \n",
+       "min      0.000000    0.000000  \n",
+       "25%      0.000000    7.910400  \n",
+       "50%      0.000000   14.454200  \n",
+       "75%      0.000000   31.000000  \n",
+       "max      6.000000  512.329200  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 观察数据基本统计信息\n",
+    "titanic_df.describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "<hr>\n",
+    "\n",
+    "## 1.1 属性分析\n",
+    "\n",
+    "- PassengerId – 随机赋予的乘客编号；理论上与该乘客是否存活不存在任何关联关系，所以**删除PassengerId属性**\n",
+    "- Name - 乘客姓名，同上，无关属性\n",
+    "- Pclass – 船舱等级；与是否存活下来有关\n",
+    "- Sex – 乘客性别；与是否存活下来有关\n",
+    "- Age – 乘客年龄；与是否存活下来有关\n",
+    "- SibSp - 同辈亲属数量；与是否存活下来有关\n",
+    "- Parch – 非同辈亲属数量；与是否存活下来有关\n",
+    "- Fare – 船票价格；与是否存活下来有关\n",
+    "- Embarked – 上船的港口，0S (South Ampton), 1C (Cherbourg), 2Q (Queenstown)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>female</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>7.9250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Survived  Pclass     Sex   Age  SibSp  Parch            Ticket     Fare  \\\n",
+       "0         0       3    male  22.0      1      0         A/5 21171   7.2500   \n",
+       "1         1       1  female  38.0      1      0          PC 17599  71.2833   \n",
+       "2         1       3  female  26.0      0      0  STON/O2. 3101282   7.9250   \n",
+       "3         1       1  female  35.0      1      0            113803  53.1000   \n",
+       "4         0       3    male  35.0      0      0            373450   8.0500   \n",
+       "\n",
+       "  Cabin Embarked  \n",
+       "0   NaN        S  \n",
+       "1   C85        C  \n",
+       "2   NaN        S  \n",
+       "3  C123        S  \n",
+       "4   NaN        S  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 从数据集中删除PassengerId，Name变量\n",
+    "titanic_df.drop(['PassengerId','Name'], axis=1, inplace=True)\n",
+    "# 观察更新后的数据\n",
+    "titanic_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\dululu\\AppData\\Local\\Temp/ipykernel_25844/1366697872.py:1: FutureWarning: In a future version of pandas all arguments of Series.dropna will be keyword-only\n",
+      "  titanic_df[\"Embarked\"] = titanic_df[\"Embarked\"].dropna(0)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "titanic_df[\"Embarked\"] = titanic_df[\"Embarked\"].dropna(0)\n",
+    "\n",
+    "f, ax = plt.subplots(figsize = (8, 6))\n",
+    "sns.countplot(x=\"Embarked\", data=titanic_df,hue=\"Survived\")  # hue=\"Survived\"\n",
+    "ax.set_xticklabels([\"South Ampton\",\"Cherbourg\",\"Queenstown\"])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Embarked</th>\n",
+       "      <th>Survived</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>C</td>\n",
+       "      <td>0.553571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Q</td>\n",
+       "      <td>0.389610</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>S</td>\n",
+       "      <td>0.336957</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Embarked  Survived\n",
+       "0        C  0.553571\n",
+       "1        Q  0.389610\n",
+       "2        S  0.336957"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 分析不同码头上船的乘客们的生存几率\n",
+    "titanic_df[['Embarked', 'Survived']].groupby(['Embarked'], as_index=False).mean().sort_values(by='Embarked', ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "#### Age | 存在多项缺失值，由于年龄是数值型数据，运用随机森林进行预测填充"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.ensemble import RandomForestRegressor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\anaconda\\lib\\site-packages\\sklearn\\base.py:464: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
+      "  warnings.warn(\n",
+      "D:\\anaconda\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "  warnings.warn(msg, FutureWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "age_df = titanic_df[[\"Age\", \"Fare\", \"Parch\", \"SibSp\", \"Pclass\"]].copy()  # .copy()用于复制原始数据 挑选数值型字段\n",
+    "\n",
+    "# 分割有缺失值的数据集\n",
+    "age_df_notnull = age_df.loc[age_df.Age.notnull()]\n",
+    "age_df_isnull = age_df.loc[age_df.Age.isnull()]\n",
+    "\n",
+    "# 利用非缺失数据建模\n",
+    "x = age_df_notnull.iloc[:, 1:]\n",
+    "y = age_df_notnull.values[:, 0]\n",
+    "x_test = age_df_isnull.values[:, 1:]\n",
+    "\n",
+    "rfr = RandomForestRegressor(n_estimators=1000, n_jobs=-1)\n",
+    "rfr.fit(x, y)\n",
+    "y_pred = rfr.predict(x_test)\n",
+    "\n",
+    "titanic_df.loc[titanic_df[\"Age\"].isnull(), \"Age\"] = y_pred\n",
+    "sns.distplot(titanic_df[\"Age\"].dropna(), kde=True, bins=50, fit=stats.gamma)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### 对Age属性的进一步处理尝试：划分为多个年龄段"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>AgeLevel</th>\n",
+       "      <th>Survived</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>(0.34, 20.315]</td>\n",
+       "      <td>0.428571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>(20.315, 40.21]</td>\n",
+       "      <td>0.369732</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>(40.21, 60.105]</td>\n",
+       "      <td>0.398601</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>(60.105, 80.0]</td>\n",
+       "      <td>0.217391</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          AgeLevel  Survived\n",
+       "0   (0.34, 20.315]  0.428571\n",
+       "1  (20.315, 40.21]  0.369732\n",
+       "2  (40.21, 60.105]  0.398601\n",
+       "3   (60.105, 80.0]  0.217391"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic_df['AgeLevel'] = pd.cut(titanic_df['Age'], 4)\n",
+    "titanic_df[['AgeLevel', 'Survived']].groupby(['AgeLevel'], as_index=False).mean().sort_values(by='AgeLevel', ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>7.9250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Survived  Pclass     Sex  Age  SibSp  Parch            Ticket     Fare  \\\n",
+       "0         0       3    male    1      1      0         A/5 21171   7.2500   \n",
+       "1         1       1  female    1      1      0          PC 17599  71.2833   \n",
+       "2         1       3  female    1      0      0  STON/O2. 3101282   7.9250   \n",
+       "3         1       1  female    1      1      0            113803  53.1000   \n",
+       "4         0       3    male    1      0      0            373450   8.0500   \n",
+       "\n",
+       "  Cabin Embarked  \n",
+       "0   NaN        S  \n",
+       "1   C85        C  \n",
+       "2   NaN        S  \n",
+       "3  C123        S  \n",
+       "4   NaN        S  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic_df.loc[titanic_df['Age'] <= 20.315, 'Age'] = 0\n",
+    "titanic_df.loc[(titanic_df['Age'] > 20.315) & (titanic_df['Age'] <= 40.21), 'Age'] = 1\n",
+    "titanic_df.loc[(titanic_df['Age'] > 40.21) & (titanic_df['Age'] <= 60.105), 'Age'] = 2\n",
+    "titanic_df.loc[titanic_df['Age'] > 60.105, 'Age'] = 3\n",
+    "titanic_df['Age'] = titanic_df['Age'].astype(int)\n",
+    "titanic_df.drop(['AgeLevel'], axis=1, inplace=True)\n",
+    "titanic_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### Pclass | 船舱等级，可以看出等级越高，存活率越高，成正相关"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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LEdFbPU6t2ldFxMaIuL4ZNUiSNBY1PLgjYirwNWBS1XQacG9m9lSPJyNiKdCRmd3AyRExt9F1SJI0FjVjxL0fuBjYXb1eCFwQEY9Vo+xxQA+wunp/LbCoCXVIkjTmNDy4M3N3Zu4a0PQj4KzMXACMB86nNhrfXr3/MjB98H4iYkVE9EVEX39/f6PLlCSpSK1YnPZEZr5YPe8D5gJ7gIlV2+Sh6sjMlZnZlZldnZ2dLShTkqS3v1YE910RMT8iOoALgS3AZg5Nj88HnmtBHZIkFW9cCz7jBuAeIIDvZOYPImIKsCEiZgDnUTsPLkmSRtG04M7Mnurfp6itLB/43u6I6AGWALcMOicuSZKG0YoR95AycyeHVpZLkqQ6eOc0SZIKYnBLklQQg1uSpIIY3JIkFcTgliSpIG1bVa7meOGGU9tdQsvM/uyT7S5BklrOEbckSQUxuCVJKojBLUlSQQxuSZIKYnBLklQQg1uSpIIY3JIkFcTgliSpIAa3JEkFMbglSSqIwS1JUkEMbkmSCmJwS5JUEH8dTJLUMkfSLxhCc37F0BG3JEkFMbglSSqIwS1JUkEMbkmSCmJwS5JUEINbkqSCGNySJBXE4JYkqSAGtyRJBTG4JUkqiMEtSVJBDG5JkgpicEuSVJCmBHdETI+IDQNer4qIjRFx/UhtkiRpZA0P7oiYCnwNmFS9Xgp0ZGY3cHJEzB2qrdF1SJI0FjVjxL0fuBjYXb3uAVZXz9cCi4Zp+zURsSIi+iKir7+/vwllSpJUnoYHd2buzsxdA5omAdur5y8D04dpG7yflZnZlZldnZ2djS5TkqQitWJx2h5gYvV8cvWZQ7VJkqRRjGvBZ2ymNhW+CZgPPA1sG6JNKsIZV3+93SW0zOYvXNbuEiQN0orgvh/YEBEzgPOAhUAO0SZJkkbRtCnqzOyp/t1NbTHaJuDMzNw1VFuz6pAkaSxpxYibzNzJoVXkw7ZJkqSRuShMkqSCGNySJBXE4JYkqSAGtyRJBWnJ4jRJZXrhhlPbXUJLzf7sk+0uQRqVI25JkgpicEuSVBCDW5KkghjckiQVxOCWJKkgY35V+ZH0S04Aa45pdwWSpGZyxC1JUkEMbkmSCmJwS5JUEINbkqSCGNySJBXE4JYkqSAGtyRJBTG4JUkqiMEtSVJBDG5JkgpicEuSVBCDW5KkghjckiQVxOCWJKkgBrckSQUxuCVJKojBLUlSQQxuSZIKYnBLklQQg1uSpIIY3JIkFcTgliSpIE0P7ogYFxEvRERv9Tg1IlZFxMaIuL7Zny9J0ljSihH3acC9mdmTmT3AXKAjM7uBkyNibgtqkCRpTBjXgs9YCFwQEWcCTwK/BFZX760FFgFbB28UESuAFQCzZ89uQZmSJL39tWLE/SPgrMxcAIwHzgO2V++9DEwfaqPMXJmZXZnZ1dnZ2YIyJUl6+2tFcD+RmS9Wz/uAE4CJ1evJLapBkqQxoRWheVdEzI+IDuBC4Epq0+MA84HnWlCDJEljQivOcd8A3AME8B3gfmBDRMygNm2+sAU1SJI0JjQ9uDPzKWoryw+KiB5gCXBLZu5qdg2SJI0VrRhxv0lm7uTQynJJklQnF4ZJklQQg1uSpIIY3JIkFcTgliSpIAa3JEkFMbglSSqIwS1JUkEMbkmSCmJwS5JUEINbkqSCGNySJBXE4JYkqSAGtyRJBTG4JUkqiMEtSVJBDG5JkgpicEuSVBCDW5KkghjckiQVxOCWJKkgBrckSQUxuCVJKojBLUlSQQxuSZIKYnBLklQQg1uSpIIY3JIkFcTgliSpIAa3JEkFMbglSSqIwS1JUkEMbkmSCtLW4I6IVRGxMSKub2cdkiSVom3BHRFLgY7M7AZOjoi57apFkqRStHPE3QOsrp6vBRa1rxRJksoQmdmeD45YBfyPzNwSEWcDp2fmXw54fwWwonp5CvB0G8os0QnAL9pdhMYMjyc1msdU/X4vMzsHN45rRyWVPcDE6vlkBo3+M3MlsLLVRZUuIvoys6vddWhs8HhSo3lMvXXtnCrfzKHp8fnAc+0rRZKkMrRzxH0/sCEiZgDnAQvbWIskSUVo24g7M3dTW6C2CTgzM3e1q5YxxtMLaiSPJzWax9Rb1LbFaZIk6fB557SCRcSMiLh0UNtHI6Kjjm1H7aMjj8eUGs1jqvEccRcsIr4ALAV+Ru2PsL+mNg31KBDAw5n5xYgI4B8z810Dtr0beDQzv9L6yvV25TGlw1EF6xs5KEiq4+O3MnO/x1TjOeIuVEQsArqAd1O7rO5iYDmwAFgH/B3wP6vuzwKvRcSTEfEfImIatWspPxARHgNHiIj4VET8LCKeGfR4KSIu9JjSb+Aa4IcRsWngA/gh8GmPqeZwxF2oiPht4AzgNOBE4PeBXwF/D3QC2zLzjqrvd4GHgPFAH7X/ce4B5gFzM/M/t/wL6G3HY0qN5jHVHO28HEzDOHBeJzP3j/D+a8CTwMvAfmp/yb4O9FL77/rioM12Ae8ALgeOrtqeApZExCcy868b+y1Umsx8JSI8pnRYIuLozPzloLajMvN1j6nmMLjfnv4MuDYiXh/m/aOAncCPgTeqts7q+TlAAvsj4uGq778DJgCzgauo/SV7BnAc8L+BLzfjS6gsEfHnQDceUzo8j0XEvkFtO4BzPKaaw+B+G8rMG4EbR+sXEUcDrw9cGBIRVwH/F/jbzNxXtb0b+BtgLvBK1XUV8G+BCzPzDXTEy8z/5jGlw5WZ80d4z2OqCQzusq0CZkREAgf+4v09alNSl0XEEuC3qf1PcAnwzIBt5wF/BfyX1pWrdomIGLzyd/D7QAceU2o8j6kGc6VewTLzj4GvAE9n5rmZeS61yyz+e2b+YXWOfB61X1ZbQe38UVaP/1P9FvrMiPhQe76BWuiqiHh+iBXlz0TEM8DzwAc9plSviPhQRDwREX3DPJ6MiIs8phrPEXfhMnN1RLwKEBEfBz4KfHxAl/OADdRWal5L7dKMzUBvRLxM7ZzT0pYWrZbLzL+iNnKpp6/HlEaVmd8AvlFnX4+pBvJysDGkuu7x1cx8dUDb7wL/Wt0I4U2rP6WReEyp0Tym3jqDW5KkgniOW5KkghjckiQVxOCWJKkgBrd0BIiIz0XETyJifUQ8HBEzRujb28LSJB0mg1s6ctycmYuBO4D/1O5iJP1mvI5bOvJMBV6NiG8As6jdenJ5Zr4yuGNETAa+BUwCnsnMj0TEROA+YAq1e1Ivo3b97a+1ZeavWvBdpCOOI27pyHFdRKwHFlK7O9WWzFwE/C9qd64ayu8CXwLOAuZExHTgD4A3BozeJw/TJqkJDG7pyHFzZi7OzEuAU4DHqvY7gR8Ns80+ane5+ltgGjAR+EfgqYhYS+1Xnl4Zpk1SExjc0pHpn4F3V8//jFo4D+UKalPlfwTsrdrmA3+fmWdTm3Z/zzBtkprA4JaOTH8DnF6tID8duGuYfg9Ru3f031WvZwLPAZ+MiH8ATgT6hmmT1ATe8lSSpII44pYkqSAGtyRJBTG4JUkqiMEtSVJBDG5JkgpicEuSVBCDW5Kkgvx/Rtj7ZCiLNRUAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 576x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "titanic_df[['Pclass', 'Survived']].groupby(['Pclass'], as_index=False).mean()\n",
+    "\n",
+    "f, ax = plt.subplots(figsize = (8, 6))\n",
+    "sns.countplot(x=\"Pclass\", hue=\"Survived\", data=titanic_df)\n",
+    "ax.set_xticklabels([\"一等舱\",\"二等舱\",\"三等舱\"])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### Sex | 性别，可以看出女性存活率比男性高"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "titanic_df[[\"Sex\", \"Survived\"]].groupby(['Sex'], as_index=False).mean()\n",
+    "\n",
+    "f, ax = plt.subplots(figsize = (8, 6))\n",
+    "sns.countplot(x=\"Sex\", hue=\"Survived\", data=titanic_df)\n",
+    "ax.set_xticklabels([\"男性\",\"女性\"])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### SibSp + Parch | 家属们"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "      <th>IsAlone</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>7.9250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Survived  Pclass     Sex  Age            Ticket     Fare Cabin Embarked  \\\n",
+       "0         0       3    male    1         A/5 21171   7.2500   NaN        S   \n",
+       "1         1       1  female    1          PC 17599  71.2833   C85        C   \n",
+       "2         1       3  female    1  STON/O2. 3101282   7.9250   NaN        S   \n",
+       "3         1       1  female    1            113803  53.1000  C123        S   \n",
+       "4         0       3    male    1            373450   8.0500   NaN        S   \n",
+       "\n",
+       "   IsAlone  \n",
+       "0        1  \n",
+       "1        1  \n",
+       "2        0  \n",
+       "3        1  \n",
+       "4        0  "
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Family = SibSp + Parch\n",
+    "titanic_df['FamilySize'] = titanic_df['SibSp'] + titanic_df['Parch']\n",
+    "titanic_df['IsAlone'] = 0\n",
+    "titanic_df.loc[titanic_df['FamilySize'] == 1, 'IsAlone'] = 1\n",
+    "\n",
+    "# 删除原有的列 Parch & SibSp\n",
+    "titanic_df.drop(['SibSp'], axis=1, inplace=True)\n",
+    "titanic_df.drop(['Parch'], axis=1, inplace=True)\n",
+    "titanic_df.drop(['FamilySize'], axis=1, inplace=True)\n",
+    "titanic_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### Fare | 使用分位数对数据进行划分，可以得到大小基本相等的bin，转换为数值型数据"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>FareLevel</th>\n",
+       "      <th>Survived</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>(-0.001, 7.91]</td>\n",
+       "      <td>0.197309</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>(7.91, 14.454]</td>\n",
+       "      <td>0.303571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>(14.454, 31.0]</td>\n",
+       "      <td>0.454955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>(31.0, 512.329]</td>\n",
+       "      <td>0.581081</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         FareLevel  Survived\n",
+       "0   (-0.001, 7.91]  0.197309\n",
+       "1   (7.91, 14.454]  0.303571\n",
+       "2   (14.454, 31.0]  0.454955\n",
+       "3  (31.0, 512.329]  0.581081"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic_df['FareLevel'] = pd.qcut(titanic_df['Fare'], 4)\n",
+    "titanic_df[['FareLevel', 'Survived']].groupby(['FareLevel'], as_index=False).mean().sort_values(by='FareLevel', ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "      <th>IsAlone</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>3</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>3</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Survived  Pclass     Sex  Age            Ticket  Fare Cabin Embarked  \\\n",
+       "0         0       3    male    1         A/5 21171     0   NaN        S   \n",
+       "1         1       1  female    1          PC 17599     3   C85        C   \n",
+       "2         1       3  female    1  STON/O2. 3101282     1   NaN        S   \n",
+       "3         1       1  female    1            113803     3  C123        S   \n",
+       "4         0       3    male    1            373450     1   NaN        S   \n",
+       "\n",
+       "   IsAlone  \n",
+       "0        1  \n",
+       "1        1  \n",
+       "2        0  \n",
+       "3        1  \n",
+       "4        0  "
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic_df.loc[titanic_df['Fare'] <= 7.91, 'Fare'] = 0\n",
+    "titanic_df.loc[(titanic_df['Fare'] > 7.91) & (titanic_df['Fare'] <= 14.454), 'Fare'] = 1\n",
+    "titanic_df.loc[(titanic_df['Fare'] > 14.454) & (titanic_df['Fare'] <= 31.0), 'Fare'] = 2\n",
+    "titanic_df.loc[titanic_df['Fare'] > 31.0, 'Fare'] = 3\n",
+    "titanic_df['Fare'] = titanic_df['Fare'].astype(int)\n",
+    "titanic_df.drop(['FareLevel'], axis=1, inplace=True)\n",
+    "titanic_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### OneHotEncoder | 将类别型变量全部onehot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# one-hot编码\n",
+    "sex_dummies_titanic  = pd.get_dummies(titanic_df['Sex'])\n",
+    "sex_dummies_titanic.columns = ['男性', '女性']\n",
+    "titanic_df = titanic_df.join(sex_dummies_titanic)\n",
+    "\n",
+    "embark_dummies_titanic  = pd.get_dummies(titanic_df['Embarked'])\n",
+    "embark_dummies_titanic.columns = ['港口S', '港口C','港口Q']\n",
+    "titanic_df = titanic_df.join(embark_dummies_titanic)\n",
+    "\n",
+    "class_dummies_titanic  = pd.get_dummies(titanic_df['Pclass'])\n",
+    "class_dummies_titanic.columns = ['一等舱', '二等舱', '三等舱']\n",
+    "titanic_df = titanic_df.join(class_dummies_titanic)\n",
+    "\n",
+    "age_dummies_titanic  = pd.get_dummies(titanic_df['Age'])\n",
+    "age_dummies_titanic.columns = ['孩子', '少年', '中年','老人']\n",
+    "titanic_df = titanic_df.join(age_dummies_titanic)\n",
+    "\n",
+    "fare_dummies_titanic  = pd.get_dummies(titanic_df['Fare'])\n",
+    "fare_dummies_titanic.columns = ['便宜票价', '普通票价', '高级票价','豪华票价']\n",
+    "titanic_df = titanic_df.join(fare_dummies_titanic)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "del titanic_df['Sex']\n",
+    "del titanic_df['Embarked']\n",
+    "del titanic_df['IsAlone']\n",
+    "del titanic_df['Pclass']\n",
+    "del titanic_df['Age']\n",
+    "del titanic_df['Fare']\n",
+    "del titanic_df['Cabin']\n",
+    "del titanic_df['Ticket']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "## 2 使用清理后的数据"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.metrics import precision_recall_curve, roc_auc_score, roc_curve\n",
+    "from sklearn.metrics import accuracy_score, mean_squared_error, r2_score, confusion_matrix\n",
+    "from sklearn.model_selection import GridSearchCV  # 参数调优"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Survived</th>\n",
+       "      <th>男性</th>\n",
+       "      <th>女性</th>\n",
+       "      <th>港口S</th>\n",
+       "      <th>港口C</th>\n",
+       "      <th>港口Q</th>\n",
+       "      <th>一等舱</th>\n",
+       "      <th>二等舱</th>\n",
+       "      <th>三等舱</th>\n",
+       "      <th>孩子</th>\n",
+       "      <th>少年</th>\n",
+       "      <th>中年</th>\n",
+       "      <th>老人</th>\n",
+       "      <th>便宜票价</th>\n",
+       "      <th>普通票价</th>\n",
+       "      <th>高级票价</th>\n",
+       "      <th>豪华票价</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Survived  男性  女性  港口S  港口C  港口Q  一等舱  二等舱  三等舱  孩子  少年  中年  老人  便宜票价  普通票价  \\\n",
+       "0         0   0   1    0    0    1    0    0    1   0   1   0   0     1     0   \n",
+       "1         1   1   0    1    0    0    1    0    0   0   1   0   0     0     0   \n",
+       "2         1   1   0    0    0    1    0    0    1   0   1   0   0     0     1   \n",
+       "3         1   1   0    0    0    1    1    0    0   0   1   0   0     0     0   \n",
+       "4         0   0   1    0    0    1    0    0    1   0   1   0   0     0     1   \n",
+       "\n",
+       "   高级票价  豪华票价  \n",
+       "0     0     0  \n",
+       "1     0     1  \n",
+       "2     0     0  \n",
+       "3     0     1  \n",
+       "4     0     0  "
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset = titanic_df\n",
+    "# 观察数据\n",
+    "dataset.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Survived</th>\n",
+       "      <th>男性</th>\n",
+       "      <th>女性</th>\n",
+       "      <th>港口S</th>\n",
+       "      <th>港口C</th>\n",
+       "      <th>港口Q</th>\n",
+       "      <th>一等舱</th>\n",
+       "      <th>二等舱</th>\n",
+       "      <th>三等舱</th>\n",
+       "      <th>孩子</th>\n",
+       "      <th>少年</th>\n",
+       "      <th>中年</th>\n",
+       "      <th>老人</th>\n",
+       "      <th>便宜票价</th>\n",
+       "      <th>普通票价</th>\n",
+       "      <th>高级票价</th>\n",
+       "      <th>豪华票价</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>0.383838</td>\n",
+       "      <td>0.352413</td>\n",
+       "      <td>0.647587</td>\n",
+       "      <td>0.188552</td>\n",
+       "      <td>0.086420</td>\n",
+       "      <td>0.722783</td>\n",
+       "      <td>0.242424</td>\n",
+       "      <td>0.206510</td>\n",
+       "      <td>0.551066</td>\n",
+       "      <td>0.227834</td>\n",
+       "      <td>0.585859</td>\n",
+       "      <td>0.160494</td>\n",
+       "      <td>0.025814</td>\n",
+       "      <td>0.250281</td>\n",
+       "      <td>0.243547</td>\n",
+       "      <td>0.257015</td>\n",
+       "      <td>0.249158</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.486592</td>\n",
+       "      <td>0.477990</td>\n",
+       "      <td>0.477990</td>\n",
+       "      <td>0.391372</td>\n",
+       "      <td>0.281141</td>\n",
+       "      <td>0.447876</td>\n",
+       "      <td>0.428790</td>\n",
+       "      <td>0.405028</td>\n",
+       "      <td>0.497665</td>\n",
+       "      <td>0.419670</td>\n",
+       "      <td>0.492850</td>\n",
+       "      <td>0.367270</td>\n",
+       "      <td>0.158668</td>\n",
+       "      <td>0.433418</td>\n",
+       "      <td>0.429463</td>\n",
+       "      <td>0.437233</td>\n",
+       "      <td>0.432769</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Survived          男性          女性         港口S         港口C         港口Q  \\\n",
+       "count  891.000000  891.000000  891.000000  891.000000  891.000000  891.000000   \n",
+       "mean     0.383838    0.352413    0.647587    0.188552    0.086420    0.722783   \n",
+       "std      0.486592    0.477990    0.477990    0.391372    0.281141    0.447876   \n",
+       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "25%      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "50%      0.000000    0.000000    1.000000    0.000000    0.000000    1.000000   \n",
+       "75%      1.000000    1.000000    1.000000    0.000000    0.000000    1.000000   \n",
+       "max      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
+       "\n",
+       "              一等舱         二等舱         三等舱          孩子          少年          中年  \\\n",
+       "count  891.000000  891.000000  891.000000  891.000000  891.000000  891.000000   \n",
+       "mean     0.242424    0.206510    0.551066    0.227834    0.585859    0.160494   \n",
+       "std      0.428790    0.405028    0.497665    0.419670    0.492850    0.367270   \n",
+       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "25%      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "50%      0.000000    0.000000    1.000000    0.000000    1.000000    0.000000   \n",
+       "75%      0.000000    0.000000    1.000000    0.000000    1.000000    0.000000   \n",
+       "max      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
+       "\n",
+       "               老人        便宜票价        普通票价        高级票价        豪华票价  \n",
+       "count  891.000000  891.000000  891.000000  891.000000  891.000000  \n",
+       "mean     0.025814    0.250281    0.243547    0.257015    0.249158  \n",
+       "std      0.158668    0.433418    0.429463    0.437233    0.432769  \n",
+       "min      0.000000    0.000000    0.000000    0.000000    0.000000  \n",
+       "25%      0.000000    0.000000    0.000000    0.000000    0.000000  \n",
+       "50%      0.000000    0.000000    0.000000    0.000000    0.000000  \n",
+       "75%      0.000000    0.500000    0.000000    1.000000    0.000000  \n",
+       "max      1.000000    1.000000    1.000000    1.000000    1.000000  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 继续观察数据基本统计信息\n",
+    "dataset.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# 获得数据集的特征（输入变量）和输出\n",
+    "x = np.array(dataset.iloc[:, 1:])\n",
+    "y = np.array(dataset.iloc[:, 0])\n",
+    "# 分割数据集\n",
+    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=33)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# 绘制混淆矩阵函数\n",
+    "def plot_confusion_matrix(cm, classes,\n",
+    "                          normalize=False,\n",
+    "                          title='Confusion matrix',\n",
+    "                          cmap=plt.cm.Blues):\n",
+    "    plt.figure()\n",
+    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
+    "    plt.title(title)\n",
+    "    plt.colorbar()\n",
+    "    tick_marks = np.arange(len(classes))\n",
+    "    plt.xticks(tick_marks, classes, rotation=45)\n",
+    "    plt.yticks(tick_marks, classes)\n",
+    "\n",
+    "    fmt = '.2f' if normalize else 'd'\n",
+    "    thresh = cm.max() / 2.\n",
+    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
+    "        plt.text(j, i, format(cm[i, j], fmt),\n",
+    "                 horizontalalignment=\"center\",\n",
+    "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
+    "\n",
+    "    plt.tight_layout()\n",
+    "    plt.ylabel('True label')\n",
+    "    plt.xlabel('Predicted label')\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# 模型性能评估\n",
+    "def model_performance_evaluation(model_name, test, pred):\n",
+    "    print(model_name,  '| 准确率: %.4f' % accuracy_score(test, pred))\n",
+    "    print(model_name,'| 均方误差: %.4f' % mean_squared_error(test, pred))\n",
+    "    print(model_name, '| R2-score: %.4f' % r2_score(test, pred))\n",
+    "    print(model_name, '| 混淆矩阵：\\n', confusion_matrix(test, pred))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "## 3 对数几率回归模型"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# 模型参数组合\n",
+    "#param_lr = {'penalty':['l1','l2'], 'C':[1,1e+2,1e+4], 'max_iter':[1e+2,1e+3,1e+4]}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# 建模、训练和预测\n",
+    "#base_line_model = LogisticRegression() # 默认 penalty='l2'\n",
+    "lr = LogisticRegression()\n",
+    "#lr = GridSearchCV(estimator=base_line_model, param_grid=param_lr, cv=5, n_jobs=3)\n",
+    "lr.fit(x_train, y_train)\n",
+    "y_pred_lr = lr.predict(x_test)\n",
+    "#lr.best_estimator_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "对数几率回归模型在训练集上的性能 -- \n",
+      "LogisticRegression | 准确率: 0.7849\n",
+      "LogisticRegression | 均方误差: 0.2151\n",
+      "LogisticRegression | R2-score: 0.0889\n",
+      "LogisticRegression | 混淆矩阵：\n",
+      " [[327  58]\n",
+      " [ 76 162]]\n",
+      "\n",
+      "\n",
+      "\n",
+      "对数几率回归模型在测试集上的性能 -- \n",
+      "LogisticRegression | 准确率: 0.8097\n",
+      "LogisticRegression | 均方误差: 0.1903\n",
+      "LogisticRegression | R2-score: 0.1986\n",
+      "LogisticRegression | 混淆矩阵：\n",
+      " [[140  24]\n",
+      " [ 27  77]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 模型性能评估\n",
+    "print(\"对数几率回归模型在训练集上的性能 -- \")\n",
+    "model_performance_evaluation('LogisticRegression', y_train, lr.predict(x_train))\n",
+    "print(\"\\n\"*2)\n",
+    "print(\"对数几率回归模型在测试集上的性能 -- \")\n",
+    "model_performance_evaluation('LogisticRegression', y_test, y_pred_lr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 绘制混淆矩阵\n",
+    "cnf_matrix = confusion_matrix(y_test, y_pred_lr)\n",
+    "np.set_printoptions(precision=2)  # 设置打印数量的阈值\n",
+    "class_names = [0, 1]\n",
+    "plot_confusion_matrix(cnf_matrix, classes=class_names, title='Confusion matrix')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "该支持向量机模型的AUC值为 0.7970215759849906\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 绘制ROC曲线并计算AUC值\n",
+    "auc_lr = roc_auc_score(y_test, y_pred_lr)\n",
+    "print(f\"该支持向量机模型的AUC值为 {auc_lr}\")\n",
+    "fpr_lr, tpr_lr, thresholds = roc_curve(y_test, y_pred_lr)\n",
+    "plt.plot(fpr_lr, tpr_lr, label=\"对数几率模型: \"+str(round(auc_lr, 3)))\n",
+    "plt.xlabel('False Positive Rate')\n",
+    "plt.ylabel('True Positive Rate')\n",
+    "plt.title('ROC')\n",
+    "plt.xlim([0,1])\n",
+    "plt.ylim([0,1.1])\n",
+    "plt.grid()\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "## 4 决策树"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.tree import DecisionTreeClassifier, export_graphviz\n",
+    "params_dt = {'criterion':['entropy','gini'], 'splitter':['best', 'random']}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(criterion=&#x27;entropy&#x27;, splitter=&#x27;random&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(criterion=&#x27;entropy&#x27;, splitter=&#x27;random&#x27;)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "DecisionTreeClassifier(criterion='entropy', splitter='random')"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "base_line_model = DecisionTreeClassifier()\n",
+    "dtc = GridSearchCV(estimator=base_line_model, param_grid=params_dt, cv=5, n_jobs=3)\n",
+    "dtc.fit(x_train, y_train)\n",
+    "y_pred_dt = dtc.predict(x_test)\n",
+    "dtc.best_estimator_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "决策树模型在 训练集 上的性能 -- \n",
+      "DecisionTree | 准确率: 0.8411\n",
+      "DecisionTree | 均方误差: 0.1589\n",
+      "DecisionTree | R2-score: 0.3269\n",
+      "DecisionTree | 混淆矩阵：\n",
+      " [[350  35]\n",
+      " [ 64 174]]\n",
+      "\n",
+      "\n",
+      "\n",
+      "决策树模型在 测试集 上的性能 -- \n",
+      "DecisionTree | 准确率: 0.8470\n",
+      "DecisionTree | 均方误差: 0.1530\n",
+      "DecisionTree | R2-score: 0.3558\n",
+      "DecisionTree | 混淆矩阵：\n",
+      " [[151  13]\n",
+      " [ 28  76]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 模型性能评估\n",
+    "print(\"决策树模型在 训练集 上的性能 -- \")\n",
+    "model_performance_evaluation('DecisionTree', y_train, dtc.predict(x_train))\n",
+    "print(\"\\n\"*2)\n",
+    "\n",
+    "print(\"决策树模型在 测试集 上的性能 -- \")\n",
+    "model_performance_evaluation('DecisionTree', y_test, y_pred_dt)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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7q6tdahURnRExJyKW9ae+ag6rl0v6GtAm6dNAv3ZkZtZbie8erKrn+Cmya4bmk/UaT25kQWbWPOo4Wl3/2qrY5mNAJ9nsgyvz92ZmmySbYKtxh9WbqppwVL4MA6YBh/e9uZlZdQb7w25v7PH2nyRd3cB6zKxZJDpcrlY1l/L07CluC7yvceWYWTNRiecfrGa0uudzHd8CzmhQLWbWRLJzjqmrqKyaw+rzB6IQM2s+KaZcrdZGB2Qk/XQgCjGz5tLdcxzMl/I8LumEhldiZs2lhpHqUo5WAwcBX5T0OLAGT7BlZnUyqKdmHYiJtsys+ZR9QKbiYbUPpc2s0cp8WN3XOcczB6wKM2tCoqWGZaD1dVg9WVLvCYhFds5xrwbWZGZNIJuaNXUVlfUVjg/5fKOZNcwgvn3wtgGrwsya0qAcrY6I7wxkIWbWXAbzYbWZWUOV+fZBh6OZJSHKPTe0w9HM0lA2yVZZORzNLJnyRqPD0cwS6Z5DpqwcjmaWTHmj0eFoZgmVuONY6sEiMxvShFT9UlWL0tWSPpy/vlbSfEnn9qc6h6OZJdF9KU+1y0bbkw4Dto+In0iaBrRGxBRgd0l71lqfw9HMkqlXz1HS5sA1wJL8cYvtwJz843uAqbXW5nA0s2RUwwKMlbSwxzKzR1OfAp4ELgEOJpsl9cX8sxXAuFpr84CMmaVR+0XgHRFxYIXP9gdmR8QySTcDhwLD8s9G0o+OoHuOZpaEgFap6mUjfgfsnr8+ENiVdYfS+wFLaq3PPUczS6aOV/JcC1wn6ePA5mTnHO+QNB44Hphca4MORzNLpl7XOUbEa8DH1m9b7cAxwCUR0VVrmw5HM0siu5SncVeBR0Qn60asa+ZwNLNkynyHjMPRzBIRKvHd1Q5HM0vGPUczs14afc5xUzkczSwNuedoZlbI4WhmVsADMmZmvXTfPlhWDkczS6bE2ehwbIRVq7r4q9Nm8Me1axk+fAQX/uMsvvLFmby6fDkTJ+3PNy//TuoSrR8O2mk0E7bfGoCtNmthadeb/OTJV/jT927H4o41PL18TeIKB58yH1b7qTwNcPutP+D0z/81N//bXWy73Tju/NFt/NlffJw7f/6frF79Go89sih1idYPC17o4voFS7l+wVKe63yDRUu72GXMMEZu2epg7Ids9sHql4HmnmMDfOrUz77z+tVXO9h+9Wu88vJLdHWt5KUXl7LDju9KWJ1tqq233IyRW27Gstf+hzMO3ZXFHWvYe9sRPOWArFG575BpSM9R0jhJ8xrR9mCyaMGDdK3s5KMnfoKlS5/nhtnfYY+99mZM2zapS7NNcMjOo1nwwkomjR/F8jX/wwPPrmDH0VtxyM5jUpc2uOTXOVa7DLS6h6OkNuBGYES92x5MVnau4OtnfZlLZ/0zV15yIRdd9m3O/NtzePee7+HWf70xdXnWTwJ222Y4z654gx1GbcXCpV2sfmstj770GrttM2yj37f11ThNwoBqRM9xLTAdWNWAtgeFt956i89/5iTOOu8C3rXTLqxauZKnfvsEa9eu5TeLFtT6aHgrkV3ahrG0600AVrz+Fm3DNgdgx1FbsvKNP6QsbdDJzjmq6mWg1T0cI2JVXw+WlDSze4KcFa8ur/fuS+GWm2/gicd+w7evuJjpHzmG/Q88mLP/5gwm7LYdKztX8JFp01OXaP20x9jhLFnxBgCLlnax2zbDOeWgd3HwzmP41ZLOxNUNPmXuOQ74gExEzAZmA+w76f0x0PsfCDNOmcmMU2aut+7zZ34lUTVWT/ctfvWd12+tDeY8+lLCaoaAEh9EebTazJIp82i1w9HMkklx/WK1GhaOEdHeqLbNbIhoxnA0M+tLNtBS3nR0OJpZGn7YrZlZsRJno8PRzBIqcTo6HM0skSZ88ISZWTXq/eCJ/KE3j+Svr5U0X9K5/anN4WhmSdRy62AN/cvLgGGSpgGtETEF2F3SnrXW53A0s3TqmI6SjgTWAMuAdmBO/tE9wNRaS3M4mlkyquEPMLb7oTX58s4DDCRtAZwHfDVfNQJ4MX+9AhhXa20ekDGzZGq8zrEjIg6s8NlXgasjYmX+SMDVQPcDNkfSj46gw9HM0qjvReBHA0dKOgOYBOwMvAA8COwHPF1rgw5HM0umXpfyRMTh77QpzQU+AsyTNB44Hphca5s+52hmSYjGzCETEe0RsYpsUOZB4Ii+HsBdiXuOZpZMIy8Bj4hO1o1Y18zhaGbplPcGGYejmaVT5tsHHY5mlowfWWZmVqDE2ehwNLOESpyODkczS8LTJJiZFfE0CWZmxRyOZmYbKPeTwB2OZpaMe45mZr3U+ITvAedwNLN0SpyODkczS8bnHM3MCvico5lZgRJno8PRzBLxReBmZpWUNx0djmaWRPc0CWXlcDSzZFocjmZmG/KlPGZmRcqbjQ5HM0unxNnocDSzNGqdj3qgORzNLBmfczQzK1LebHQ4mlk6Jc5Gh6OZpVOvc46SRgM/AFqBNcB04LvA+4C7IuIbtbbZUp/SzMxqpZr+bMQngcsj4lhgGfBxoDUipgC7S9qz1urcczSzJPpx++BYSQt7vJ8dEbMBIuLqHuu3Bf4SuDJ/fw8wFVhcy84cjmY2WHRExIF9bSBpCtAGLAFezFevAA6odWc+rDazZFqkqpeNkbQNMAs4BVgNDMs/Gkk/ss7haGZpaN2F4NUsfTYlbQHcCpwdEc8Bi8gOpQH2I+tJ1sThaGZJqMZlI04lO3Q+R9Lc/CszJF0OnAjcVWt9PudoZunU6VKeiPgu2aU765qW7gCOAS6JiK5a23Q4mlkyjbx9MCI6gTn9/b7D0cyS8YMnzMwKlDgbHY5mllCJ09HhaGbJ+JFlZma9lH32QUVEup1Ly4HnkhUwsMYCHamLsLprlr/XXSJi23o2KOlusn9+1eqIiOPqWUNfkoZjM5G0cGP3hdrg47/Xoct3yJiZFXA4mpkVcDgOnNmpC7CG8N/rEOVzjmZmBdxzNDMr4HA0MyvgcGwwSSNS12BmtXM4NoikFkmzgcslTZM0MXVNVh+SvpK6Bms8h2PjfJZsDt3zgG2A4yUdm7Ykq5NPS7o0dRHWWA7HxnkM+COwkmxui8eBQyVNTlmU9Z8ybcBvgG0l/VPikqyBHI6N8xTwBnBI/oj2/wReAfZJWpX1W2Q6gc9HxMnAmw7Iocvh2CAR8SrZBcInSWoHXiMLx89KGtbHV6383gSIiC8BqyXdnLYcawRfBN5gkvYGPgZMBAK4PyJ8V8UgJ0mR/8cj6UJgVkQsS1yW1ZHDcQBI2grYi+wRdosj4vXEJVkdSGqJiD+mrsMaw+FoZlbA5xzNzAo4HM3MCjgczcwKOBzNzAo4HAcxSf8g6beSfinpfknjN6Gd9h7vr6ziO5MkTervPipsM3dT26ilPbO+OBwHvwsj4nDgeuCL9Wgwv7h5Yybli9mQ5Hmrh442stsVu3tMC4B9I+KDkoYD3wO2Ax6PiDPye4RvJXs4hoC53Q1JmhsR7fnrrYAbgHeR3Sd+ItnDND6afz4jIo6qdR8bI2kkcBswAvhdRHwm/+jLks4HXgI+SXb/+myy60iXA9MjYm21+zGrxD3Hwe8cSb8EJgNX5esmA/Mj4oP5+5nAE3kPcwdJ++br7oyII4C3+2h/JvBoREwF/g2YEBFnA98CvhURR9VhH0V2AGYBRwO7ShqXr18YER8AuoAPAycAm+frngc+VON+zAq55zj4XRgRve/tfSIiftjj/XvIngjUDowBdgR2A27JP1/YR/t7k4UiZD3ISjZlH0XeBk4DPkP2yLfu+9Efyn/+Gng32b/DU/Le8kjgtzXux6yQe45D0+pe758GrswPlc8l62E9z7onBE3qo62ngIPy139PFliQHcIPh+w+403cR5FTyQ6rPwGs6bH+/fnPfYEl+X5/kO/3S8CTNe7HrJDDsTlcQ/aw3V8CnwNeIDtP9+d5j2vURr57QL7dAcBN+fp7gWmSfgUcton7KHIvcDbw8/z9jvnPwyT9AhgH/Bi4Axifr/sG8FyN+zEr5HurzcwKuOdoZlbA4WhmVsDhaGZWwOFoZlbA4WhmVsDhaGZW4P8DUkNwfDVeNeAAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 计算混淆矩阵\n",
+    "cnf_matrix = confusion_matrix(y_test, y_pred_dt)\n",
+    "np.set_printoptions(precision=2)  # 设置打印数量的阈值\n",
+    "class_names = [0, 1]\n",
+    "# 绘制混淆矩阵\n",
+    "plot_confusion_matrix(cnf_matrix, classes=class_names, title='Confusion matrix')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "该支持向量机模型的AUC值为 0.825750469043152\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 绘制ROC曲线并计算AUC值\n",
+    "auc_dt = roc_auc_score(y_test, y_pred_dt)\n",
+    "print(f\"该支持向量机模型的AUC值为 {auc_dt}\")\n",
+    "fpr_dt, tpr_dt, thresholds = roc_curve(y_test, y_pred_dt)\n",
+    "plt.plot(fpr_dt, tpr_dt, label=\"决策树: \"+str(round(auc_dt, 3)))\n",
+    "plt.plot(fpr_lr, tpr_lr, label=\"对数几率模型: \"+str(round(auc_lr, 3)))\n",
+    "plt.xlabel('False Positive Rate')\n",
+    "plt.ylabel('True Positive Rate')\n",
+    "plt.title('ROC')\n",
+    "plt.xlim([0,1])\n",
+    "plt.ylim([0,1.1])\n",
+    "plt.grid()\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "## 5 神经网络"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.neural_network import MLPClassifier\n",
+    "params_mlp = {'solver':['sgd', 'lbfgs'], 'alpha': [1e-3, 1e-4], 'learning_rate_init':[1e-3, 1e-4] }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {color: black;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>MLPClassifier(hidden_layer_sizes=(6, 6, 6), max_iter=1000, solver=&#x27;lbfgs&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">MLPClassifier</label><div class=\"sk-toggleable__content\"><pre>MLPClassifier(hidden_layer_sizes=(6, 6, 6), max_iter=1000, solver=&#x27;lbfgs&#x27;)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "MLPClassifier(hidden_layer_sizes=(6, 6, 6), max_iter=1000, solver='lbfgs')"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 神经网络训练模型\n",
+    "base_line_model = MLPClassifier(solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(6, 6, 6), max_iter=1000)\n",
+    "mlp = GridSearchCV(estimator=base_line_model, param_grid=params_mlp, cv=5, n_jobs=3)\n",
+    "mlp.fit(x_train, y_train)\n",
+    "y_pred_nn = mlp.predict(x_test)\n",
+    "mlp.best_estimator_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "神经网络模型在 训练集 上的性能 -- \n",
+      "Neural Network | 准确率: 0.8266\n",
+      "Neural Network | 均方误差: 0.1734\n",
+      "Neural Network | R2-score: 0.2657\n",
+      "Neural Network | 混淆矩阵：\n",
+      " [[336  49]\n",
+      " [ 59 179]]\n",
+      "\n",
+      "\n",
+      "\n",
+      "神经网络模型在 测试集 上的性能 -- \n",
+      "Neural Network | 准确率: 0.8060\n",
+      "Neural Network | 均方误差: 0.1940\n",
+      "Neural Network | R2-score: 0.1829\n",
+      "Neural Network | 混淆矩阵：\n",
+      " [[144  20]\n",
+      " [ 32  72]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 模型性能评估\n",
+    "print(\"神经网络模型在 训练集 上的性能 -- \")\n",
+    "model_performance_evaluation('Neural Network', y_train, mlp.predict(x_train))\n",
+    "print(\"\\n\"*2)\n",
+    "\n",
+    "print(\"神经网络模型在 测试集 上的性能 -- \")\n",
+    "model_performance_evaluation('Neural Network', y_test, y_pred_nn)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 计算混淆矩阵\n",
+    "cnf_matrix = confusion_matrix(y_test, y_pred_nn)\n",
+    "np.set_printoptions(precision=2)  # 设置打印数量的阈值\n",
+    "class_names = [0, 1]\n",
+    "# 绘制混淆矩阵\n",
+    "plot_confusion_matrix(cnf_matrix, classes=class_names, title='Confusion matrix')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "神经网络的AUC值为 0.7851782363977485\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 绘制ROC曲线并计算AUC值\n",
+    "auc_nn = roc_auc_score(y_test, y_pred_nn)\n",
+    "print(f\"神经网络的AUC值为 {auc_nn}\")\n",
+    "fpr_nn, tpr_nn, thresholds = roc_curve(y_test, y_pred_nn)\n",
+    "plt.plot(fpr_nn, tpr_nn, label=\"神经网络: \"+str(round(auc_nn, 3)))\n",
+    "plt.plot(fpr_dt, tpr_dt, label=\"决策树: \"+str(round(auc_dt, 3)))\n",
+    "plt.plot(fpr_lr, tpr_lr, label=\"对数几率模型: \"+str(round(auc_lr, 3)))\n",
+    "plt.xlabel('False Positive Rate')\n",
+    "plt.ylabel('True Positive Rate')\n",
+    "plt.title('ROC')\n",
+    "plt.xlim([0,1])\n",
+    "plt.ylim([0,1.1])\n",
+    "plt.grid()\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "# 6、支持向量机\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(C=100, gamma=1)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC(C=100, gamma=1)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "SVC(C=100, gamma=1)"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn import svm\n",
+    "params_svm = {'kernel':['rbf','linear'], 'gamma':[10,1,0.1,1e-2], 'C':[1,100,1e4]}\n",
+    "# 支持向量机训练模型\n",
+    "base_line_model = svm.SVC() # 默认 kernel='rbf'\n",
+    "svc = GridSearchCV(estimator=base_line_model, param_grid=params_svm, cv=5, n_jobs=3)\n",
+    "svc.fit(x_train, y_train)\n",
+    "y_pred_svm = svc.predict(x_test)\n",
+    "svc.best_estimator_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "支持向量机模型在 训练集 上的性能 -- \n",
+      "Support Vector Machinen | 准确率: 0.8411\n",
+      "Support Vector Machinen | 均方误差: 0.1589\n",
+      "Support Vector Machinen | R2-score: 0.3269\n",
+      "Support Vector Machinen | 混淆矩阵：\n",
+      " [[348  37]\n",
+      " [ 62 176]]\n",
+      "\n",
+      "\n",
+      "\n",
+      "支持向量机模型在 测试集 上的性能 -- \n",
+      "Support Vector Machine | 准确率: 0.8507\n",
+      "Support Vector Machine | 均方误差: 0.1493\n",
+      "Support Vector Machine | R2-score: 0.3715\n",
+      "Support Vector Machine | 混淆矩阵：\n",
+      " [[151  13]\n",
+      " [ 27  77]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 模型性能评估\n",
+    "print(\"支持向量机模型在 训练集 上的性能 -- \")\n",
+    "model_performance_evaluation('Support Vector Machinen', y_train, svc.predict(x_train))\n",
+    "print(\"\\n\"*2)\n",
+    "print(\"支持向量机模型在 测试集 上的性能 -- \")\n",
+    "model_performance_evaluation('Support Vector Machine', y_test, y_pred_svm)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "该支持向量机模型的AUC值为 0.8305581613508443\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 绘制ROC曲线并计算AUC值\n",
+    "auc_svm = roc_auc_score(y_test, y_pred_svm)\n",
+    "print(f\"该支持向量机模型的AUC值为 {auc_svm}\")\n",
+    "fpr_svm, tpr_svm, thresholds = roc_curve(y_test, y_pred_svm)\n",
+    "plt.plot(fpr_svm, tpr_svm, label=\"支持向量机: \"+str(round(auc_svm, 3)))\n",
+    "plt.plot(fpr_nn, tpr_nn, label=\"神经网络: \"+str(round(auc_nn, 3)))\n",
+    "plt.plot(fpr_dt, tpr_dt, label=\"决策树: \"+str(round(auc_dt, 3)))\n",
+    "plt.plot(fpr_lr, tpr_lr, label=\"对数几率模型: \"+str(round(auc_lr, 3)))\n",
+    "plt.xlabel('False Positive Rate')\n",
+    "plt.ylabel('True Positive Rate')\n",
+    "plt.title('ROC')\n",
+    "plt.xlim([0,1])\n",
+    "plt.ylim([0,1.1])\n",
+    "plt.grid()\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/2、幸福感数据分析/第5组-杜佳璐/第5组实战/离职分析.ipynb b/2、幸福感数据分析/第5组-杜佳璐/第5组实战/离职分析.ipynb
new file mode 100644
index 0000000..037605f
--- /dev/null
+++ b/2、幸福感数据分析/第5组-杜佳璐/第5组实战/离职分析.ipynb
@@ -0,0 +1,510 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": true,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from sklearn.preprocessing import LabelEncoder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "   Age Attrition     BusinessTravel              Department  DistanceFromHome  \\\n0   51        No      Travel_Rarely                   Sales                 6   \n1   31       Yes  Travel_Frequently  Research & Development                10   \n2   32        No  Travel_Frequently  Research & Development                17   \n3   38        No         Non-Travel  Research & Development                 2   \n4   32        No      Travel_Rarely  Research & Development                10   \n\n   Education EducationField  EmployeeCount  EmployeeID  Gender  ...  \\\n0          2  Life Sciences              1           1  Female  ...   \n1          1  Life Sciences              1           2  Female  ...   \n2          4          Other              1           3    Male  ...   \n3          5  Life Sciences              1           4    Male  ...   \n4          1        Medical              1           5    Male  ...   \n\n   NumCompaniesWorked Over18 PercentSalaryHike  StandardHours  \\\n0                 1.0      Y                11              8   \n1                 0.0      Y                23              8   \n2                 1.0      Y                15              8   \n3                 3.0      Y                11              8   \n4                 4.0      Y                12              8   \n\n   StockOptionLevel TotalWorkingYears  TrainingTimesLastYear  YearsAtCompany  \\\n0                 0               1.0                      6               1   \n1                 1               6.0                      3               5   \n2                 3               5.0                      2               5   \n3                 3              13.0                      5               8   \n4                 2               9.0                      2               6   \n\n   YearsSinceLastPromotion  YearsWithCurrManager  \n0                        0                     0  \n1                        1                     4  \n2                        0                     3  \n3                        7                     5  \n4                        0                     4  \n\n[5 rows x 24 columns]",
+      "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>Age</th>\n      <th>Attrition</th>\n      <th>BusinessTravel</th>\n      <th>Department</th>\n      <th>DistanceFromHome</th>\n      <th>Education</th>\n      <th>EducationField</th>\n      <th>EmployeeCount</th>\n      <th>EmployeeID</th>\n      <th>Gender</th>\n      <th>...</th>\n      <th>NumCompaniesWorked</th>\n      <th>Over18</th>\n      <th>PercentSalaryHike</th>\n      <th>StandardHours</th>\n      <th>StockOptionLevel</th>\n      <th>TotalWorkingYears</th>\n      <th>TrainingTimesLastYear</th>\n      <th>YearsAtCompany</th>\n      <th>YearsSinceLastPromotion</th>\n      <th>YearsWithCurrManager</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>51</td>\n      <td>No</td>\n      <td>Travel_Rarely</td>\n      <td>Sales</td>\n      <td>6</td>\n      <td>2</td>\n      <td>Life Sciences</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Female</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>Y</td>\n      <td>11</td>\n      <td>8</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>6</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>31</td>\n      <td>Yes</td>\n      <td>Travel_Frequently</td>\n      <td>Research &amp; Development</td>\n      <td>10</td>\n      <td>1</td>\n      <td>Life Sciences</td>\n      <td>1</td>\n      <td>2</td>\n      <td>Female</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>Y</td>\n      <td>23</td>\n      <td>8</td>\n      <td>1</td>\n      <td>6.0</td>\n      <td>3</td>\n      <td>5</td>\n      <td>1</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>32</td>\n      <td>No</td>\n      <td>Travel_Frequently</td>\n      <td>Research &amp; Development</td>\n      <td>17</td>\n      <td>4</td>\n      <td>Other</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Male</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>Y</td>\n      <td>15</td>\n      <td>8</td>\n      <td>3</td>\n      <td>5.0</td>\n      <td>2</td>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>38</td>\n      <td>No</td>\n      <td>Non-Travel</td>\n      <td>Research &amp; Development</td>\n      <td>2</td>\n      <td>5</td>\n      <td>Life Sciences</td>\n      <td>1</td>\n      <td>4</td>\n      <td>Male</td>\n      <td>...</td>\n      <td>3.0</td>\n      <td>Y</td>\n      <td>11</td>\n      <td>8</td>\n      <td>3</td>\n      <td>13.0</td>\n      <td>5</td>\n      <td>8</td>\n      <td>7</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>32</td>\n      <td>No</td>\n      <td>Travel_Rarely</td>\n      <td>Research &amp; Development</td>\n      <td>10</td>\n      <td>1</td>\n      <td>Medical</td>\n      <td>1</td>\n      <td>5</td>\n      <td>Male</td>\n      <td>...</td>\n      <td>4.0</td>\n      <td>Y</td>\n      <td>12</td>\n      <td>8</td>\n      <td>2</td>\n      <td>9.0</td>\n      <td>2</td>\n      <td>6</td>\n      <td>0</td>\n      <td>4</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 24 columns</p>\n</div>"
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('quit_dataset.csv')\n",
+    "df.head()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "No     3699\nYes     711\nName: Attrition, dtype: int64"
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.Attrition.value_counts()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "   Age  Attrition  BusinessTravel  Department  DistanceFromHome  Education  \\\n0   51          0               2           2                 6          2   \n1   31          1               1           1                10          1   \n2   32          0               1           1                17          4   \n3   38          0               0           1                 2          5   \n4   32          0               2           1                10          1   \n\n   EducationField  EmployeeCount  EmployeeID  Gender  ...  NumCompaniesWorked  \\\n0               1              1           1       0  ...                 1.0   \n1               1              1           2       0  ...                 0.0   \n2               4              1           3       1  ...                 1.0   \n3               1              1           4       1  ...                 3.0   \n4               3              1           5       1  ...                 4.0   \n\n   Over18  PercentSalaryHike  StandardHours  StockOptionLevel  \\\n0       0                 11              8                 0   \n1       0                 23              8                 1   \n2       0                 15              8                 3   \n3       0                 11              8                 3   \n4       0                 12              8                 2   \n\n   TotalWorkingYears  TrainingTimesLastYear  YearsAtCompany  \\\n0                1.0                      6               1   \n1                6.0                      3               5   \n2                5.0                      2               5   \n3               13.0                      5               8   \n4                9.0                      2               6   \n\n   YearsSinceLastPromotion  YearsWithCurrManager  \n0                        0                     0  \n1                        1                     4  \n2                        0                     3  \n3                        7                     5  \n4                        0                     4  \n\n[5 rows x 24 columns]",
+      "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>Age</th>\n      <th>Attrition</th>\n      <th>BusinessTravel</th>\n      <th>Department</th>\n      <th>DistanceFromHome</th>\n      <th>Education</th>\n      <th>EducationField</th>\n      <th>EmployeeCount</th>\n      <th>EmployeeID</th>\n      <th>Gender</th>\n      <th>...</th>\n      <th>NumCompaniesWorked</th>\n      <th>Over18</th>\n      <th>PercentSalaryHike</th>\n      <th>StandardHours</th>\n      <th>StockOptionLevel</th>\n      <th>TotalWorkingYears</th>\n      <th>TrainingTimesLastYear</th>\n      <th>YearsAtCompany</th>\n      <th>YearsSinceLastPromotion</th>\n      <th>YearsWithCurrManager</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>51</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>6</td>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>11</td>\n      <td>8</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>6</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>31</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>10</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>23</td>\n      <td>8</td>\n      <td>1</td>\n      <td>6.0</td>\n      <td>3</td>\n      <td>5</td>\n      <td>1</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>32</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>17</td>\n      <td>4</td>\n      <td>4</td>\n      <td>1</td>\n      <td>3</td>\n      <td>1</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>15</td>\n      <td>8</td>\n      <td>3</td>\n      <td>5.0</td>\n      <td>2</td>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>38</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2</td>\n      <td>5</td>\n      <td>1</td>\n      <td>1</td>\n      <td>4</td>\n      <td>1</td>\n      <td>...</td>\n      <td>3.0</td>\n      <td>0</td>\n      <td>11</td>\n      <td>8</td>\n      <td>3</td>\n      <td>13.0</td>\n      <td>5</td>\n      <td>8</td>\n      <td>7</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>32</td>\n      <td>0</td>\n      <td>2</td>\n      <td>1</td>\n      <td>10</td>\n      <td>1</td>\n      <td>3</td>\n      <td>1</td>\n      <td>5</td>\n      <td>1</td>\n      <td>...</td>\n      <td>4.0</td>\n      <td>0</td>\n      <td>12</td>\n      <td>8</td>\n      <td>2</td>\n      <td>9.0</td>\n      <td>2</td>\n      <td>6</td>\n      <td>0</td>\n      <td>4</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 24 columns</p>\n</div>"
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#将所有字符串列映射成数字\n",
+    "maps={}\n",
+    "for col in df:\n",
+    "    dtype=df[col].dtype\n",
+    "    if dtype==\"object\":\n",
+    "        unique=df[col].unique()\n",
+    "        #训练标签\n",
+    "        le = LabelEncoder()\n",
+    "        le = le.fit(unique)\n",
+    "        #将每列的标签保存进字典\n",
+    "        maps[col]=le\n",
+    "        df[col]=le.transform(df[col])\n",
+    "df.head()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "0    3699\n1     711\nName: Attrition, dtype: int64"
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.Attrition.value_counts()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<AxesSubplot:>"
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 1440x720 with 2 Axes>",
+      "image/png": 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xtpO4ePoKAKcOn8WhTlUAQt+GMai9i0HeJw+fMmZAxsrY3sGWM0d0o0JuXLqFjV2CncpVtCHwQoKdngQ/pbRNSewdKuj3OX3kHFXrVNHvkyNnDpxG9WWe18J0aypZtgSPHjwhNCQMdayaS+euUsWxokGecnYS509dAuD44dM41q1G0PXbOHd1A6Bg4W8JDQkDoGaD6sTGxrJ8y3yc3ftx8mjaH0gqOJTnwtELAARdDqKsXRl9mlRR4sb5m8TGxBIZFsmz4GeUsCmBylSFq68rCycs0ueNi4tjQIOBRIZFYpXHEqWREnWsOs16sht2DhU4c0R3v924dAtrO0mfVq6iDdcM/OgZpWxKYpfI984cOUvVOpWJinzHiycvyGmWgxxmOYiLf0vjUK8ar56/ZtZPM/D0H8XJg6kbNfKexD4V+0GfsjbwqRp1HQi6fptBXUcAhj5VqmwJjh/Sabh8LpDKDob38ccoUaYYTwzqgcDk9YBtWS69rweOnKVa3SrYO9hx5pjOxi+evsTI2IjceXMxYYgPd27o3jQaGRsRHR1DiTLFuHj6CjHRMcREx/D4wRPK2JRKlb70lKWpqQn7t/7BTws26vPmNM/Jmrk/cmD7wVTb5kOUkUoSfP8hISGhxMbGcu7MJRxrVjXUbV+e0yd0ug//eZw69WpQVirF0cMn0Wq1vHnzFo0mjvwFvsGuYnm+b1KXnb/9xJyFUzG3MEuzpmQ+dfYqVR0rGeQpb5/Ipw6dokbdagD0G9qTK+cDkW8kvAgwMTXBe5YnU8Zm/sjYAg4Sz44EAvD60j3y2ZXQp0X/G86+JhPQqjXkLJALTXy791+nRJniPH7whLD4duby2UCq1DAsPxs7ay6cugzAiUTtzOBubgB8V/g7wkLDAfD3ms++bQdQKBT8r+D/CAsN+6LX87nIbDvN9l7A8T9PArr6KiY6JkP6jIpZo7lzBYC4J3dRFiqZkFa0LHEvHmHStBc5BnjrRtNEhhH34hEKk5y6TKY50WbCZ4mT2+kqVWpUNMhTzsBOZ6hetxpXL1zHy30GAFqtFqMkfYLuAzpz+ug57gbdz5C+/A4Sfx+9CsA/l+6SN1EdEPMmnAONx6NVa8hRIBdx7xLqgNcX7nDeM3UvJNJKkWoS9/7SaXp6+S7fJdIU+vcbNvX2QxunC2wrjY1QR8dyZvV+Lm08pNtmpET9GeurYtUk7sTre3L5LoVsE/SF/P2G9X2S6xMYotXGfbGfL40I2nxFSJJUH7gHLAOGxW9zkCTpvCRJhyVJ2iJJ0rr47S6SJJ2WJOmUJEnpm8eSRho3qI2x8ZcdvGVpZUFoSMKIgfCwCKxyWRnkCQ5+zPnzlw22fZMvL/Xq1WT8hBm0bvMDLi5OlClTgoxgbmlGeFiE/v84TRxGRsoU0yLDo7CwNCfk31A0ag1FShZmyKRB/Dj3JwAO7znKXM/5uHcdja1DBWo0MgxEpUlTfMcFICI8EgsrC4M8CoUixfQTf57iXZThiJrDv/6V4Qd+cwtDW2jiktgpNJGdIqKwsDLH3MKciPh9IsMjsbA01+dp3b0Fh/f9RUgGRo6YW5gbaIoIj8TyE3Z6n67RaHAdN5jFG2aza8uvAOTJm5tcuSxx7ubGX3+cYPRkw+BXajCzMCMi1NCflO/tZGGmtwfo/Mnc0pzhU4exbfk2/nn+j8Gx4jRx1GpWi6W/LyXwdCDvMjBSKruQ1AaaOI3ej8yS+VFkvB8l+N57mwG8ePaKDUfWsvbAcrat2QlA7rxWFC5eiDG9x7NhyWbGz/VIkz4LC3PCwgzvvY/5VGR4BBZWOj3vfWrJhjns2qKbxhR04zYNmtYBoEHTOuQ0y5lqLeaWSfw7/r76sBbdPWaRxAcj4+uHf17qAty2VcvTuV8HNq/4hbu37lPJ0R4z85zkymOFXdUK5DTLkTp96SjLsJBwzh27YHCcvx8/5+bloFSd81NYWloQmqjuDA+PwOoj5adLt+TGtSAaNNK1hUWLFUayLo2ZWU4uX7rG1Emzad+iN4+CnzBq7LA0a7KwNDeszyMiPllPWVhZ4FinGsVKFkk2lWqS7xjWLNnIy+ev0qzlU6gschITljBVRxsXh8Ioocup1cQh9W1Mi73e3N9+MtPPnx2xsExSJ0REYmmZ9D5M+DtxW6fRaHDxdGbR+ln6OgHAyEjJjr824lCrMudOXPy8F/CFyGw7vX0TglqtoXipoozycmHZnNUZE2iaE6KjEv6PiwNlvG+bWaIsUZ7Yg5t4t94X4xrNUeT7DiLDMCptR87hs1HVao364pGMaSC+Pkhkp8iISCwsDesDktjJ0tKCmOgYwkLCMDY2YtqCSWxbv5uoSN31GKuM6fRDW35cmvIyA2lBZZmT2NAEO6VUB5Tp15gme30I3pFQBzzacwaSjAjMLEwtcvIuLJEmTYKmOLWGqH919vx+Qg+e3wjmzYPnRIdGoo6OxTx/LtoFDOWwX8ZGcX5KX3QifYn7fXFqDZHx+pqO78HfN4P558Hzz6ZFkP0QQZuvCydglSzLMhAtSVJ1dAGcvrIsN0QX0EGSpHJAV6A2UAdoJ0mS9IFjfpX4eI/h4B9b2bF9LZZWlvrtFpbmhLz99MP7P2/+5eLFq7x48YqIiEiOnziLvV35DGmKCIvEzDzh7alSqUCjiUsxzcwip77zXbGmPdNW+zBjhJ9+3Zptq3YQ8m8o6lg1Zw6dpXSF0mnSMmSsE8u3L2Duupn6B1OID5iEhBvkjUs0/1OX/nnf1kWERxq8ZVYqlYZ2SpRmZp6TsJBwIsIj9PYzszAMRDVt/z17Nv+aLi0uns6s3bGERT/5Y25haKfQJHaIi9N+MH2B7zIa2LWm39CeFClWiLf/hnDkd92UjaN/nKC8vU2atUWGR5LTIuHBXKFUEPfeTuGRmCVKM7PIiTo2lgoOFejl3otZv/hjmduS8Ys99XlOHjhJj2o9MVYZ832nRmnWk91IaoPEfhSZzI90fh8RHpnIj3T3YI0G1fnmf3npXKMHHRy6UadpLWwqWhPybyin4tdkuXImkCIlC6dKl6vep2ZhkcSnwpLdewk+ZWZhbpC+wHcZ9e1a0W9oL4oUK4T/5AAaNK3L2h1L0Gq1/Pvm7Se1DPYYwNJt85m9doahf8ffV4ZaEuoBMwszwkLDCQ9PYsf47QDft2mA58xRuP8wlrdvQgi++5Cta3cQsGkWo6e7cf3STd6+Sd2aDekpy8/F2AmubN+3jnWbF2OZ6AHIwsKckGR1QlyS9FD+OnKKM6cusn3fOlzcnQi8eoN//33L/n1/EnhVN0Vy/74/qWCX+jphhOdgfty5lMU/zTasz83NU6inDOvzsJAwOvZoQxnrUvy4cym1G9Zg9GQXKlazpYpjRYaNduLHnUvJlduKOcunpVrTp4gNj0KVqExRKtFqDN9MyusOsrXScP7naM3/aqa9jvxaGD52EKt3LGbBj7MMXjiYmyfcT+/RGtQJhukLZy6nkX0b+g7tSeFihQBQqzW0r9sDn9F+TF/o9Zmv5PPyOe1UrVZl5q/1Y7yLT8bWswFdwMYkUUBaoUhYRyMynLhn93QjbGKiiQsOQvltMVQNOhF7Yg9Ri0bz7qcZ5Ojmnu7TDxs7iFU7FhHwo79BfWCWKjvp6gvLXJYs2TyP+7cfsGbhen0ex7rVuHjmqkGQP73EhkVhbJFgJ4UieR1wZ+1BdlUaRv7qEgVqlsvwOT9FdHgUpuaJNCWpl4xMVbRfMAwT8xzsn5gw2qeAVIQfNo3nsP8vPDqbOS8GPqTPJIm+uET6jE1VdAoYholFDvZN/Dyjkb564uK+3M8XRgRtvhIkScoDtABGSJJ0AMgFDAcKyrJ8Iz7b8fjfFYBiwKH4n3xAGf5DTPaeReMmnSlcpCKlShUnT57cqFQq6tSuzpmzn37bdPnyNcqVl8iXLw9GRkZUd6jMrVsZWz/m+oUbODZ0AKBcZRvuBz3QpwVdCcKuui0mpirMLc0pVrooD+QHVKxpj4vPMDx6jUMOvA3o3oqvPbRS/5a6cq2KaV7bZqnfKpw7utLErg1FihfCKrclxipjKjnaE3jxukFe+fod/ZDamg2rc/lsYHpNkCoCz1+nRkPdyKHylW24dythCO7NK7eo6JBgp+JlinFffqDbJ360UY0GDlyJ12huaY7KVMXLZ+l7U7xw5nL6dRhKvQotKFqiMFa5rTBWGVPFsRJXLxjaKej6barVrAxAnYY1uHT2Kg61qzDBdzQAMdHRqNVq4rRxXD57lTqNagJQpUZF7sppH2Z84/wNHOL9ybqSNcFBwfo0+YpMBYcKqExVmFmaUbR0UYKuyAyo78SYLh6M6eJB2NswZgybiZmFGbO3+qMyUaHVankX9c6gI/e1cu0TfmRv4EdFuS8/4Nr569SM9yPHBtW5evYaYSFhREfFEBMdS0x0LOGh4VhaWRB47jqO8ccvXa4kL56+TJWuBfE+VbdCc4qWKEKu3Fao4n3qyoVrBnmDrssGPnXx7BWq167CRN8xgKFP1aznwPwZS+jXYSgaTRyn/zqX7NxJWea/miGd3Ghm347CieqBio72XLt4wyDv7Rt3qfy+HmhQnStnAwk8dw3HetV00y8KFUCpUBDyJoRmHRrTpV8HhnQawbNHusWxc+fNhZm5GQPbDmfm2Dn8r2AB7iWqAz9Gesryc+E3fQEdW/XFrkwdipcsSu7cuVCpVDjWrMrF81cM8l6/dosatXXTjxp+X4ezpy9SslQxnj39m7bNejFv1jLi4uIIDQlj8/aVVKxsC0Dteo4EXrmR9NQfJGDmMvq0H0Kd8s0oVqKw3qeq1qiYzKduXUtUTzWqycUzVxgzZBI9Ww2kT/shnDh8mtk+C7ly/hotanamT/sh9Gk/hJC3oYxyzrzpzS/P36ZQQ90UvG8ql+LtrYR1F6xKfUe9lbopgHGxGt30qP9AnfQhFvmtYECHYTSwbUGR4onbmYoptjNVa+qmAtVuWINLZ6/gUKsK4xO3M7FqtNo4JswcTbVaurKODI8wCNh9jXwuO1WrVZmxU90Z0sOdm1cz/sCteSRjVFZ3bmXh0sS9TPBtzd8PUBYoAmaWoFSiLFKGuFdP0EZFoH0XP/IsIgRM0z498j2L/Vbg1GE4DW1bxtvJUm+nwGRtTGI7OXLp7FVMc5iwcusCdm3ex4p56wzyO9apxsnDaZsK/CFenb9NwYYVAchXuTRvE629YlnqO2qvcgN0dUBcjBrtF/DfxxduU7qBTlOhSqV5KRuuB9N15Uhe3HzIb+PX6PtJ35QpRMclrux0Xcy9+Olen4tHF25TNl5f4RT09Vg5kue3HrI3kT7B/x/EQsRfD72A1bIsjwGQJMkMeABESpJUTpblm4BjfF4ZuAE0l2VZK0mSO/B5n8SzCLVajYeHD7/u24BSqWTdjz/z7NlzbKzLMGRo3w9+EerVq3+YNHEmv+7TrYewbds+btyUM6Tl+P4TVK1TmUW7AlAoFPiNnEXngR15GvyMUwdPs33NThZsn49CqWCV/1piomMZ7j0UlcqYcfPHAvDo3mPmes5npd8a5v0yh9iYWC6evMTZw59+QEsJjVrDPO9FLNw8B6VSyZ7Nv/Lq+WtKlC1Ol34d8Bs3l/k+i5kw2wOVypjgOw85tO9ohuzwKf7afxyHulVYsXshKBRMd/ej26DOPHnwlBMHT/HLmh0s3bEApVLJMr/VxETHsjZgA17zPWnboxVv34QweZjujXDRkoX5+3HGh4eq1Rr8JwewYst8FEolOzfv5eXzV5QsW5we/TszzXMWsyYH4D1nHCoTFQ/uBPPH3sMANG3diPV7V6A0UrJ57XaePvqbFQE/MmXueDb8uhJ1rJrxLlPSrOnkgVNUrlOZeTvnolAomDNqDh0HduBp8DPOHDzDrjW7mbt9DkqFgrX+64j9wNzmyPBIDu88wpxts1DHangQdJ9DOw5nyF7Zgb/2n6Ba3Sos270QhQKmu/vTdVAnnj54xomDp9i6ZidLdgSgUCpZEe9H6wI2MHH+WFr3aEnImxC8h03nXdQ7ql4NYsXexWi1cQSeu865Yxe4fOYqo33dWLF3EaBglue8NOnT+dR8VmwJMPCpUmVL0KN/J6Z6zsJ/cgA+c8ajMlFxP5FPNWndiA17V6A0MmLz2m08ffQ3eb/Ji9+SKcTGxHBXfsA0z9SvQ6JRa5jvs5gFm2ajUCrYu+U3XT1Qphid+3XAf/w8AnwWM37WGFQqFQ/uPuTwvr+Ii4vjyrlAVu9dglKpxH/CfJRKJaOmuvLi2Qv8Vk0F4NKZq6ycvZbiZYqx7rflxMbGsnDq0lQ/RKanLD83arUa7wl+bN6xAqVSyeYNO3j+90vKSqXoN7AH40ZPxWeCP7MXTEGlUnHn9n327f4DlcqY8ZPd6TOgO9HR0YwbraurPEf5MM1vAmq1mpcvXjPGbXI6NGmY6TWflT8vQKlUsCORT/Uc0JkpY/3xnxzAlLk6n7p3+wG/782ae/3R/gt8V7cCzXZ7oVAoOOm+AptBzQl78IInBy/x781HNN/rDVotTw9f5cWZz/f2OrugVmuYPXkBy7bMQ6lQsnPLPn07071/J6Z7zma29wImzxmHSmXM/TsPObhXN42mSZuG/LhnOUZGSn6Ob2c2rtrKJH8PnEf2RxunZbrnrCy+wswhs+00f60fKpWKaQt0i5sH333EVA+/dOvT3DqPUSlbcjhNAQVE71yGcc0WaP95gUa+SMzBzeTorVvoWHP9DNqXT4g9/AsmbQehcmgCRkZE71mRKXaaM3kBS7fMR6lQsGvLPl4+f03JssXp1r8TMzxnM8d7IV5zPHX1+p1gDu49Qg+nzhQqVpAOvdrQoVcbACa7Tefpo78pVrooe7fuz7A2gCf7L/BtXVu+3zMZBQrOjFyONKg54cEvePrHJd7efETjvT6g1fLsyFVefYE6IOjABUrWtqXvDt2XGPeMXk51p+b8G/wChZGSYtWtMTIxplR9XcD5sP/P1BrSBmNTFU0m677GGR0WpV+8OLO59fsFStWxxWm7Tt/OMcupOaA5/zx8gTKRvjLx+v70/5nHn+lLVl8tWbDWzJdCkfRLAoLsiSRJV4EfZFkOTLRtCfACaA6EAzHAU1mWB0qSNAZoB5gC5wAXWZY/uPJZ7Ov72coRzAvVzWoJKVIzv3VWS0hGuCb1n/39UqiU2S8eHKaO+nSmL0xBk9xZLeGDbLy0NaslGNCuYtuslpCMt+qMDyHPbMyNUreOzJdEpTDKagkpcj8i+60HkNvE4tOZvjDjVGU/nSkLaH5laVZLMKCRbZOslvBBDl37I6slGJAdbXV6ULGslpCMmisyOJXrM+CpzNj6j5+Lu6qsVpCcWMWn82QFU4I3ZlNlGSfm8dUv9jxrUsT+i9ox+z1ZCVJEluVknwqRZXmoJEnDgNayLL+SJGkausANsizPAv4br10EAoFAIBAIBAKBQCD4EJnwZbbsigjafP28AP6QJCkcCAH6ZLEegUAgEAgEAoFAIBAIBJmACNp85ciyvA3YltU6BAKBQCAQCAQCgUAgyBL+w2vaiK9HCQQCgUAgEAgEAoFAIBBkQ8RIG4FAIBAIBAKBQCAQCARfL1/g0/FZhRhpIxAIBAKBQCAQCAQCgUCQDREjbQQCgUAgEAgEAoFAIBB8tWj/w2vaiKCNAADzQnWzWoIBEU+PZbWEFKlj1z+rJSQjXPMuqyUkw1KRM6slJMNEmf2quwfvXmW1hK+GWG32+4xjPmOLrJaQjChtbFZLSIZKkT0H9XbJbZfVEpJx5N3DrJaQjA3K11ktIUWaZ7WAJOQ3tsxqCV8NpkpVVktIRq6Zx7NaQjJK5y6Y1RKSMTD0VFZLSJGSVt9mtYRkyG+fZLWEFJmS1QIE6SJ79qQEAoFAIBAIBAKBQCAQCP6fk/1ePQsEAoFAIBAIBAKBQCAQpBaxELFAIBAIBAKBQCAQCAQCgeBLIkbaCAQCgUAgEAgEAoFAIPh6+Q8vRCxG2ggEAoFAIBAIBAKBQCAQZEPESBuBQCAQCAQCgUAgEAgEXy9x2e9Lo5mFCNoI0kTLlt8zYbwbarWGdT/+zJo1m1LMN2vWZG7fvsfKlRsAaNq0ARMnuKNQKLh0ORBX1wlfTHPgjSDmLl3DukX+mXbMll2a0bJLMwBMTE0oU740LSt2IDw0XJ9HoVAwd/1Mjv1+kp3r96TquLny5mLK4omY5jDl9YvXTHX3IzoqGvcpw7F3sCUyPAqAMf0mEBEWkapjNmhSh6GjnNBo1GzftJetG3YZpBctURjfBZPRarXcCbrHlLH+aLVaAHLkNGXzr2uYM3URJ46c5rtC/8N/8RRQQMjbUEYPnsi7qOhU6QCo07gmTu59UKs17N3yG7s27TNIL1y8EJPnj0Or1XIv6AH+4+eh1WpxGtmX2o1qoNFomOO1kJtXbiHZlmXczFHExMRw+8Zd5kxagGO9avQZ3hPQ2d/ewZZuDfoSfPfTn9Gt27gWA0f2RaPWsHvLr+zcuNcgvUjxQngHTACtlrtB95k5bq7eTkWKF2L2mhl0bdgHAKvcluw8uZl7QQ8AOLL/GJtXbU21nRLTsEkdho0eiEatYdumPfyyYadBetEShfFb6KMrv1v38B47E61Wy9Kf5pAnX27UsWrevYvGqZsrNhXKMmXWeNQaDcH3HjLebar+Gr5Gasf7k0atYc+W39idgj95zfcELUn8qQ+14v1prtdCbl4J0u/TtP33dOnXgQFthlKmfGlG+gzXp1WoXI4x/Sdy5ui5T2pTKBSM9B1BqXKliI2OwX/MHJ4GP9Ont+rRgja9WqHRaPgpYCOn/zyjT+vs1IG8+fOy3HcVAI3bN6Krc2c0Gg2//XyA3T/tTXa+9JDe+/F92qzV0+neqG+GNCgUCtxnuOrsFBPLrCR2atmjBW16tkSjiWN9wAZOHzpLgYIFGDtnNEbGRqCAOR7zeHz/CZK9xDCvwSgUCt68esN0V19iojP2CXSFQkHnaf0paFMMdYyaLWOX8/rhC4M85nktcds2Bb/mHqijY1EoFbSf1JsitiUxNjHmwPzt3Dh8KUM63lOvcW2cR/VDo9awa/M+tm80bFuKFC/M1ICJunpKvs90z9lotVpcPJ1xrFsNrVbL/OlLuHDqsn6fXgO7kq9AXgKmL02zHoVCgcv04ZQsV5LYmFjmeczjWfDf+vTm3ZvRslcLNGoNmxZs5uyhhHvH1tEWzwAPelb/AYD6bevTYUA7NGoND4KCWThh0VddPyVGoVAwYoYLpcqVJCYmljlj5vEskZ+36NGcVj1botFo2BiwiTOHzpK3QF7GLRiLSmVM6NswfF39iIqIok6L2nQb2hXQcmjnYXas3pVl15WZZGb/IE++3EyY7YFlLkuMjJRMdp3O04fP6Onclabtv0cbF8faBRs4eiB9n/lu1bIxEya4oVFrWLtuC6s/0BeeM8sb+fY9Vqxcj719eebO9tanVa9emY6dBvD7H0fTpQEyt39XqGhBZi6cjEKh4NmT53iNmp6m/l1KNG/RCM9xLqjVGtb/tJV1a7ekmG+m30Tu3LnP6lU6Ow5y/oGevTqi1cKC+SvZsePXDOmAzK07vymQD9/F3qhUxoS8DWXcMB8iIyIzpK9li+8ZP94NtVrNjz/9zJo1m1PMN8s//vlqVfzzVZP6TIh/vrp8+RquI77c85XgyyKmR31BJEnykCTpb0mScsT/bytJUt34v+tKkmSXwj6ekiQ5SJKUQ5Ikp/htfSVJavNl1YOxsTGzZnnTomVPGn3fCacBPShQ4BuDPN98k5c9e9bTqlVj/TYLC3Nm+k6gXfs+1K7TmocPn/DNN3m/iOY1G7cyeWYAMdExmXrcX385wNBObgzt5EbQNZm5kxYYBGwAnMcOwDKXZZqOO8C9N3/sPMTg9q7I1+/SvldrAKztJEb08NCfM7UBG2NjIzynujOgy3B+aOtMlx/aky+/oe09fdwJ8F1KrzaDUCgUNGpeT5/mNXOsQae5j3MPftt9kB/aOnM36D6derRN9bUZGRvh7j2c4d1H4dzRlfa9WpP3mzwGedy9h7PUbxWD2rugUCio17Q2km1ZKjtWpG9LZ8YP8WbsDDcAxvuPZu7khQxq70J4aATN2n/P6aPnGNxpBIM7jeD4n6f4afGmVAVsjI2NGOXjwtBuI3HqMJwOvdok0zbS24UlM1cyoN0wFAoF9ZvVAaBlp6b4LvMhT77c+rzWthK/7/yTQR1dGNTRJd0BG2NjY8ZPG0W/zsPo2XYgXXsnL7/xU0Yyb8YSerR2QqGA75vXB6B4yaJ0azmAXu2ccermCsDw0YNYNGcl3VsNwMTEhAaNa6dLV3ZA50/DcPmIP7l5D2OZ3+p4fyLen8pQ2bEi/VoOZsIQHzxmuOvzl61QhjbdWoBC9/+dG3cZ0smNIZ3c2LZuF0d+O5aqgA1AnWa1MDE1YWgbF5b7rmKY12B9Wt78eejUvz3D2o1gdA9PnD0HoDJRYZLDhEkLx9G+r+F9NXSSM+7dxjCs3Qi6DuqMRS6LdFotgfTejwDNOzZh+tLJ5MmXK8M6asfbaVhbV1b4rmLIJEM7dezfnuHt3RjT05OB45xQmajoP6YvO9ftwq3zKDYu3MzAcQMAGOPvjt+oWbh0cOPc0fP8r9D/MqzPtklVjE1NmN/Bi71+m2g38QeDdOu6dgxdPx6r/Am2qNahLkbGRgR0msyqgbP5pnjGdYCunhozZQTOXd3o134oHX9om6zMxvi4sshvOX3bDQEUNGhWF+sKZbGrUoGeLZzwGDyJsVN1Pm+awxTfxd507dcx3ZpqNq2JSQ4T3Nq5s9p3DYMmDdKn5cmfh3b92+LefhTjek2gv2c/VCYqAPJ/9w0dB3bQBd4Akxwm9B3TmzFdxuLeYRTmVuZU/756unVlN2o1q4mJqQkubd1Y5buawUns1L5/O0a0d8ez5zgGjOuPykRFt6Fd+GPrQdw6juLujXu06N4cpVKJ07gBeHQfi0sbN9r0bo1VHqssvLLMIbP7B64Th3Bgx0GcO7iw1G8VxUsXxcLKgm5OnejfegjDu49i5BSXdGk1NjZm9qzJNG/RgwaNOuLk1DPFvvC+JH3hq1dv0KhxZxo17sySZT+yY+dvGQrYZHb/zmOyKz//uINebQZx7uRF+g7umW5tOn3GzPSbSNvWvWnWpBv9+ndL0U47dq2lRcvv9dvy5cuDk1NPGjXoRKsWPZkxc3yGdOi0ZG7d2X/4D+z55Tf6thtC0PXbdOiZsUcy3fPVZFq26sn3jTszoH/KPrVn90/Jnq98fSfSvkNf6tRtw8OHj7/Y81W2RRv35X6+MCJo82XpBWwBusX/3xEoF/93f6Bg0h1kWZ4py/I54FvAKX7bOlmWUzd0IxOxsS7DvXvBvH0bQmxsLCdPnadObcNOlYWFOVOnzmXTxh36bTVqVOX69SD8/bw4fGg7L1+84vXrN19Ec5GC3zF/xsTPdnxrO4mSZUuwe6PhG6EGLeuhjdMaPOCZW5ozY4UPi7fOY/HWeZSyLpHsePYOtpw+otvn9OGzVKtTBYVCQZEShRjnP4oVuxfSqlvzVOsrWbYEjx48ITQkjNhYNRfPXqGqYyWDPOXtrTl3SvcW+NihU9So6wBA/6G9uHw+EPnGHX3eoBu3sYoPRFlYmhOrVqdaS4kyxXgS/JSwkHDUsWqunLtGJUd7gzzWtmW5dPoKAKeOnMWhblUqOthy9th5AF48fYmRsRG58+bif9/lJ/DCdQACz1/D3iEh5lngu/y06NiUlXPXpVJbcR4HPyUsJCxeWyCVHSsa5LGxk7h4Wvd2+uThM1SvUxWA0LdhOLUfniyvjZ3Eyh0L8VsxlW8K5EuVjqSUKluchw8eG5RftRqVDfKUt7fh3KmLAPx16BQ16zmQL39eLHNZsmLjfDbvW02DxroA061rMrly6zr45hZmaSq/7EZSf7p6LvCT/lStbhXsHew4k4I/5cpjxVDPgcydvCjZuXLkzMHA0f2Y47Uw1fpsHWw5e0R3npuXbiHZSfo0m4rWXLtwg9iYWCLCIngS/IxSNiUxMTXhwNY/+GmB4Vvbe7fuY2FpjompCQqFAjJh9EF670eAsJAwnDu4ZlgDgG21Cpw7mshO9mUTzl/Rmuvnr+vt9DT4KSVtSrJ0yjJOHzoLgJGRETHRsRQpWZiQf0Pp5NSR+dvmYJnbksf3n2RYX8lq1tz66woADy/fpYhtSYN0bZyWxT2nExGSEEi3rmvH2+dvGLTGg24zB3H9z8wZZVOiTHEeP3iir6cunw2kSg3D+tzGzlo/iubE4dM41q1G0PXbDO7mBsB3hb8jLP4Fg4mpCXt++Y2VAevSramCQ3kuHL0AQNDlIMraldGnSRUlbpy/SWxMLJFhkTwLfkYJmxKoTFW4+rqycELCvRYbHYtbu5FEv9O92TcyMiI2k1+2ZCW21SpwPt5Oty4FJfFziRvn39cHOjuVtCnBEu9l/LnjEAqFggIF8xMeGk5cXBz96g8gIiwSqzxWKI2UqGO/3nr8PZndP7CrZkuB7/Kz+Oe5NOvQmIunrhAVGcXfT56T0ywHOc1yEheXvnrUxsawL3zq5Hnq1HE0yGNhYc6UqXPZuGl7sv3NzHIy2WsU7iO90nX+92R2/65U2RIcO3QKgEvnrlKlesUM6ZOsS3P//kPevg0lNjaW06cuUKuWg0Eec3MzZkwPYMvmhBHE//zzLzUcW6JWq/nf//Lz7l3GRvtA5ted/l7z2bftAAqFgv8V/B9hoWEZ0mdtXdrQp06dp3ZKz1fTDH2qhmNVrt8Iws9vEocObefFy9df7PlK8OURQZsvhCRJ9YF7wDJgmCRJhYC+wEhJkqoDzQB/SZKKSpL0UJKk3yVJmidJ0jpJkpoBE4BykiR5SZLkLUnS4PjjzpEk6Wz8z4j4beskSVoef4xASZIqpyApzVhaWRAaEqr/PzwsAqtchm94goMfc/78ZYNt3+TLS716NRk/YQat2/yAi4sTZcokD1h8Dho3qI2x8eebBdjXtSerkgQGSkolaNq+EStmrUmW98KJiwzr7M5Mj9l4zByZ7HhmFuZEhOkahcjwSCysLMhploOta3Yy2WU6bj086NinHaVtSibbNyUsLM31jQxAREQkllaGb+kVCkVCergu3bFONYqVLJJsqO3zZy/pOaALe4/9TJ1GNfl9z6FU6QBd0Co80QihyIhILKzMP6glMjwSC0tzzC3MDUYxRYRHYWFlwdNHf1M5vlNXp3FNcprl0OfpMagLm1f+QmxM6qZGmFsmPUcqtMWnH//zFO+i3hnkDb77kKWzVjOwgwtHDxzDY7pbqnQkxcLSwrD8wlNRfpYWqFQq1izZwJDeoxjWdzTjp40k7zd5CL7/iEkzxnDg1Ha+yZ+PsycvpktXdiCpP0VERKXKnywszIgIjTDYbpXHiolzPJjvvZjI8ORDnNv0aMmhfUcJeROSen0WZgYj4uLiNBgZ6ZpcM0tzQw0RkZhbmRMeEs75Y8nL5IEczMr9S/npyGpO/3mG8NDUjbT7qL503o8AJ/48nczn06/DzEBHnCZOb6ekaZHhUVhYmhPybygatYYiJQszZNIgfpz7E7ny5qJC1fLsXLebUd08qFyrMpVqVsywvhwWOXkXFqX/X6uJQ2mU0HWST1wj8q3hKEuLPJbkL/4tK/r78+eyPfSYNZjMwMLSnLCwJPW5ZdIyS/g7cZlpNBpcPJ1ZtH4Wu7boXjKEhYRx+q/UjRz7EGZJ7qe4RPZJeg9EhkdhbmnO8KnD2LZ8G/88/0efptVqefv6LQBt+7Yhp3kOLh7LnGBXdsDM0tAWmsR2sjRPYqdIzOPLTWmkZPWhFdjXsOfyySuAzsa1m9dixR9LuXo6kHeRmXMvZiWZ3T8oWORbwkLCGNZ1JC+evqDP8B4AvHj2kl+Ormf976v4efW2dGm1srQgJNFDelh4OLmsDEdVBwc/5lySvvB7+vfrzvbt+/jnn3/Tdf73ZHb/Luj6bRo2qwtAw2Z1DfpU6cHK0oLQkAQ7hYdH6F/6vefhwydcOH8l2b4ajQbnwb05fHQHP2/ZlSw9rWR23QlgZKRkx18bcahVmXMnMtaXsrKyJCQkiU/lSu5T55PYKt83eahXtwYTJvjSps0PuAwfQJnSX+b5KtsSF/flfr4wYk2bL4cTsEqWZVmSpGigMLAOeC7L8llJkg4AW2RZfiRJUhGgsizL/0iStC5+/+mArSzLUyRJ8gaQJKkVUAJwRFeWJyRJOhyf/6Esy86SJA0EBgHp7jX6eI+hZk0HbG1tDBohC0tzQt6GfmRPHf+8+ZeLF6/y4sUrAI6fOIu9XXnu3HmQXknZAgsrC4qWKsKlU1cMtrfo3IT8337D4q3z+K7It8TGxPL34+eUsi5JlVqV+b5NQ0C37om9gy3OHrqh/RuWbiEyPAIzczOi38VgZmFGWEg476Ki+XnVNqLj5xZfPHmJ0uVKcffW/Q9qG+E5mCrVK1K2XGkCL93Qbzc3NyMsxPCNQFyiisfcQpfeqUcbChb5jp92LqNEmeKUs5N4/eofxkx2ZbyrDyeOnKHe97WYucibwT3d+RiDPZyo6GBLaZtS3Lh8U7/dzFx3fR/SYmZhRlhoOBHhEZhZmCXSmJOw0HCmuPsyaoorTu59uXwukJj4AI1CoaD29zVZ6rfyo7oAho4dSEUHO8rYlOJ6Im3mFqnQliQ9MedPXNTPBT+y/xiDxzh9Ukti3McNoUr1ikjlynD10vUkugzLT5uk/EJDw3j98h82/7gNjUbDm9f/cvOaTMnSxZg4fTTdWztxV75Pz/6dGTfFHZ+xfmnSltUM9hiAvd6fbum3m5vnTJU/hYdHGviTmYUZFpbmFClRmLEz3TExNaFE2eK4+wxnXvyom2btv8dzUNreikaER2JmkVP/v0KpRKPR6YkMiyBnojQzczPCP+BPJW1K4tioOl1r9CIqIoqJC8dRv1Vdju47liY978no/ZjZRIRFYmaeUB5KpUJvp6RpZhY59Q9oFWva4z7dlRkj/Hh8/wkKhYKnwc94dPcRAOeOnkeyL8vlJPVzWnkXHoWpecLDi0KpIE7z8c5axNtwbhzSBRzunb1FgZLfZUjD8LGDqFTdnrI2pbl2OUl9nqRMtIlGDyQts4Uzl7N64Xo2/LaSS2eu8uTh0wzpAt3DTU4DP0+wT9J7wMwiJ+rYWCo4VKBg8YL0cgfL3JaMX+zJjGEzUSgUOE0YQOGShZkyaFqGtWUnIsMiyWmeYAtlYjuFRZDT3LBOeu/nGrWG/g0HUrl2JTwDPBjZaTQAJ/af5OSBU3jMG03jTt/z+y9/fMGryTw+V/8g5N8Qjv1xEoBjB08xdOxAajV05JsC+Wjr2BWAhZtmc/X8dW5euUVqmOLjQa2a1XR94XMJfWFLCwvehny6L/yeHt3b06Wbc6rzJ+Vz9e/8Js9n0kwPOnRrzV+HTvLvm7fp0uc1eRQ1alSlfAVrLly4ot9uYZG6Z4b3LF/2E2tWb2bnrrXUrevIsWNnPr1TEj5n3alWa2hftwfV61Rj+kIv+rcfmmZ93t5jqFmzGrYVbAxeeFtaWPA2FbZ6889bg+erEyfOYmdfnjt3v+7nK0HKiJE2XwBJkvIALYAR8cGZXMDwj+zyWpblfz6S/h4b4Lgsy1pZlmOBMyRMt3p/9z8GMhQun+w9i8ZNOlO4SEVKlSpOnjy5UalU1KldnTNnPx1dvnz5GuXKS+TLlwcjIyOqO1Tm1q07n9wvu1PJ0Y4LJ5K/CVw0bTkDWg1laCc3fv3lAJtXbOXM0XM8vPuILSu3MrSTGxOcvTmw/SBXz13Tr1Nz6tAZAs9fp2Yj3TDbGg2rc/VcIEVLFmbF7kUolUqMjI2wc7BFvvZx+wXMXEbv9oOpXb4pRUsUJlduK1QqY6rVqMTlC9cM8t66dhuHmrrBWHUb1eTCmSuMHjKJHq2c6N1+MCcOn2aWz0KCrt8m9G2YviF7+fyVfqrNx1jmv4rBnUbQ1L4thYsXxiq3JcYqYyo52nPt4g2DvLdv3KFyjYoA1GxQnStnA7l67ho16jnohqEWKoBCoSTkTQi1GtVg0vCpDO3qTq48Vpw9pht6Xsq6BA/vPSL63aeH1i/xW8mgji40tmtNkeKF9NoqO1Yk8OJ1g7zy9Tv64bS1Gjpy+ezVDx7Xa44njVrWB8ChdlVuBcqf1JKYeb5L6dXOmRrlmlCsRJFE5VeZy+cDDfLevCbjULMKAPUa1eTCmcvUrOfAgtW6YIyZeU7KWpfi3u1g3r4N1b/NfPn8Nblyfbr8shvL/FczpJMbzezbUThRmVVM0Z/uJvOnwHPXcKxXTe9PSoWCm1eC6NagL0M6uTFxyBQe3A7WB2zMLc0xMVXx8tmrNOm8fv46jg11w5vLVbbh/q2ETtStK0HYO9hiYqrC3NKcYmWK8kBOuZMVERpO9Ltoot9FExcXx9vXb9O8VlZiMno/ZjbXL9zAsaFuyHy5yjbcD0qwQ9CVIOyqJ7JTaZ2dKta0x8VnGB69xiEH3gbg2aO/yWmWg0LFdbOM7apXIFj+9HpWn+LBBZlyDXT3fbFKpXkmP/7kPvfPJ+xT0KYo/z59nSENi/xWMKDDMBrYtqBI8cJY5bbCWGVMFceKXL1gWE8FXb9N1Zq6c9duWINLZ6/gUKsK4311D/sx0dGoY9VoM2k+/o3zN3CILz/rStYEBwXr0+QrMhUcKqAyVWFmaUbR0kUJuiIzoL4TY7p4MKaLB2Fvw5gxbCYAI2a6YmJqgvcAH/00qf8K1y/coHq8nWwqW/MgkZ2CrsjYVtfZyTzeTg/kYFynu1Cxpm40aWREFNq4OMwszJi7bTYqExVarZZ3ke8MHja/Nj5X/+DKuWvUbKjrS1Wubs/92w8IfRtG9LsYYqJ1P2Gh4VimYX0wr8n+NGrcmYKFK1KqVAl9X7h2neqcOZO6kRZWVpaYmJry5MmzT2f+AJ+rf1ezfnXmTV9C7/aDidPEcSqdo/Cm+MyhebPulCxejZIli5EnTy5UKhW1ajtw9tynR8+VKVOSTZt1i6LHxsYSHROT7qlsn6vunDBzNNVq6ewaGR5hEBxLC97es2jSpAtFilYyeL6qXduBs2c/bavLV65RPtHzlcN/5PkqQ/yH17QRI22+DL2A1bIsjwGQJMkMeAAsISFwFpfk76QkTn/PLaAfME+SJBVQE/gRaA5keiuuVqvx8PDh130bUCqVrPvxZ549e46NdRmGDO37wS9CvXr1D5MmzuTXfRsB2LZtHzdupu0hNjtStFQRnj5M+EpG90GdeRL8lON/nEox/9oFG5gwx4N2PVtjbmnGqjnrkueZv55JAeNo27Mlb9+E4DV0Gu+i3rF/+x+s2rcEtVrN/q1/8OB2cKo0qtUa/Lzms+rnhSiVCrZv3svL568oVbYEPQd0YcpYP/wmz2fq3AmoTIy5dzuY3/d+eMrTtPGzmOQ7BiMj3VdbpqRhlIZGrWG+zyIWbpqNQqlk75bfePX8NSXKFKNLvw74jZ/HfJ/FTJjlgbHKmOC7Dzm07yhxcXFcPhfImr1LUSoV+E+YB8DjB09Y8ss83kVFc+HkJU4d1r2FKVaqKE8fpq1DpFZrmOu9iMWb56JUKtm9+VedtrLF6dqvIzPHzWGuzyImzfZApVLx4M5D/tx39IPHWzB9GZPnjaNz3/ZERUYxdVT6RrOo1Wp8J81lzS+6oN22Tbt58fwVpcuWoNeArniPnYmv1zymz5uISqXi3p0HHNhziLi4OOo0qMHW/euIi4tjzvTF/PvmLRPcpzJ/5Qw0ag2xMbFMGPn1vs3W+dNiFmyajUKpMPCnzv064D9+HgE+ixk/a4yuzO4+5PC+v4iLi+PKuUBW712CUqnEf8L8j56naMki/P34eZr1Hdt/gqp1q7Bk9wJQKJjp7k+XQZ14+uApJw+eZtuanSzcMR+lUskqvzUf/MrRi6cv2bNhH4t3BhAbG8uzh3+z/5ff06wnKem9HzOb4/tPULVOZRbtCkChUOA3chadB3bkafAzTh08zfY1O1mwfT4KpYJV/muJiY5luPdQVCpjxs0fC8Cje4+Z6zkf/9FzmLhoPAoUXL94gzOHz2ZYX+Dv55Hq2OK2XffVvE1jllF/QAteP3zB9T9TflA7teUQXaYNwH3nVFAo+GXCqgzrAF09NXvyApZtmYdSoWTnln28fP6KkmWL071/J6Z7zma29wImzxmHSmXM/TsPObj3CABN2jTkxz3LMTJS8vPa7Tx99PcnzpY6Th44ReU6lZm3cy4KhYI5o+bQcWAHngY/48zBM+xas5u52+egVChY67+O2A/4eekKpWnWrSnXz13H/2ddfblrzS5OHki5Pf3aOLH/JFXqVGbBrnkoFAr8R86h08COPA1+yumDZ9i5Zhfzt+vanzX+a4mNjmXnml24zXTlB7eexMVpCRi/kMjwSA7tPMy87XNQx6q5f+sBf+5I/TTl7Epm9w/m+yxm4hwPOvVpR3hoOBOHTSEsJJybV2+xdt8y4uLiuHr+Gmf/Op9mrWq1mjEePvz260ZdX3jdFl1f2KYMQ4f0w8X1wwvnli1TkocPPx34TZ2OzO3fPbj7kFlLpxATE8vdoPtM8czYKFy1Ws04z+ns2vMjSqWS9T9t5e9nL7C2Lo3z4N64u6U8evXOnftcu3aLw0d3oNVqOfjHUU6cyFhdntl158ZVW5nk74HzyP5o47RM95yVQX1qPDymsG/vBpRKBT/++AvPnj3H2roMQ4f0/eAXoV69+oeJk/zYt1f3Jalt2/dx8z/wfCVIGcV/5XOK2RlJkq4CP8iyHJho2xLgKdATGAaUjf/dFTgiy/K38fnWoVu8+Ci6kTS/A1HoplUtkyRpNlALMAF+kWXZ7/0+siwfiF8Pp5ssy30/ptHEtHC2coSIp+kb+v+5qWPXP6slJOOtOuPrW2Q2lsY5P53pC6PJgqj4pwhTR306UxZx6ubRrJZgQEv7VlktIRk5FNnvvUeUNmOfuP4cmCtNslpCitgbf/PpTF+YI+8yPjoos/lWlfGvhH0ONl5K31f5PhfdKqX/K1yfmy2Xky+Im5W0sG+Z1RKScfn1vayWkIzSuZN9nyTLeRKesZGDn4uSVt9mtYRkyG8zvhj+5yD63WPFp3N9nUQH/v7FnmdN7Zp+UTtmvx7nfxBZlu1T2PZ+8uP0+N9HgOXxf3+bKF/fRLtVTOE4o1PY1jfR3weAA2mULBAIBAKBQCAQCAQCgSCLEUEbgUAgEAgEAoFAIBAIBF8tWq0mqyV8NsRCxAKBQCAQCAQCgUAgEAgE2RARtBEIBAKBQCAQCAQCgUAgyIaI6VECgUAgEAgEAoFAIBAIvl6y4UdHMgsx0kYgEAgEAoFAIBAIBAKBIBsiRtoIBAKBQCAQCAQCgUAg+HqJEyNtBAKBQCAQCAQCgUAgEAgEXxAx0kYAQM381lktwYA6dv2zWkKKHA9ck9USklHDtk9WS0iGudIkqyUk412cOqslJMPSOGdWSxBkgH/U4VktIRmFTfJmtYRkPI8NyWoJKXKV11ktIRlxWm1WS0hGjDb71Z3ZkVfqsKyW8NVgrDDKagnJqFegfFZLSEZ2rDutcxXOagkpkh3rqXK5i2a1hP9/iDVtBAKBQCAQCAQCgUAgEAgEXxIx0kYgEAgEAoFAIBAIBALB10ucJqsVfDbESBuBQCAQCAQCgUAgEAgEgmyIGGkjEAgEAoFAIBAIBAKB4OtFrGkjEAgEAoFAIBAIBAKBQCD4koiRNgKBQCAQCAQCgUAgEAi+XuL+uyNtRNBG8FEUCgXuM1wpVa4UsTGxzBozh6fBz/TpLXu0oE3Plmg0cawP2MDpQ2cpULAAY+eMxsjYCBQwx2Mej+8/oZNTR1p2b07IG90nDOeM1W3/FC27NKNll2YAmJiaUKZ8aVpW7EB4aMLndhUKBXPXz+TY7yfZuX5Pqq4tV95cTFk8EdMcprx+8Zqp7n5ER0XjPmU49g62RIZHATCm3wQiwiJSbbPUEHgjiLlL17BukX+mHjcl6jSuidPIvmjUGvZs+Y1dG/capBcuXgjvgPFotVruBT3Ab9xctPGfnS1cvBCz10ynW8O++vzlK5XDdeJgnDu6pktPdvCp9zrG+LpTJl7HjNGzeBL8VJ/etkdL2v3QBo1aw9qA9Zz88/QHfabbwE40btsQgFOHz7J67o+YW5ozbakXOc1zEhsTy+Th03nz6k2a7VW3cS0Gxpff7i2/sjNJ+RUpXgjvgAmg1XI36D4zE5VfkeKFmL1mBl0b6j4Lb5Xbkp0nN3Mv6AEAR/YfY/OqrWnWlF2o3bgmTu599L69e9M+g/TCxQvhNd8TtHAv6AH+4+eh1WpxGtmHWo1qoNFomOu1kJtXgihTvjRjpo1Ao9EQGxOLt+sM3rz+lxoNquM0sg8KhYKgwNv4j5+Xan31m9RmyMgBqDUadm7ey7YNuw3SixYvzPQFXmi1Wu4E3WOa5yy0Wi2u4wZTo241tFqYN20x509dolDR75ixYDIKhYJnT/7Ge7Qv76Ki02QvhUKBy/RhlChXktiYWOZ7zOdZ8N/69Obdm9GiV3M06jg2L9jM2UPn9Gm2jraMDRhDr+q9AShrXxZnr4GAgn9f/YvfCH9io2PTpCcx9RrXYtCo/mjUGnZt3seOjYb1eJHihZgaMBGtVstd+T4zPOeg1Wpx9xpGJQd7jIyN2L5+Nzs27mHMlBFIFcoA8E3+fISFhvFDy0Fp0pOZ9dR7Rvm5E/Y2jBW+q9Jvpya1GTKyf7xP7WN7Ep8qUrww0xdM0tkp6L6BTznWrYZWq2X+tCWcP3WJbwv9D99FOp8KeRvK2CFe6fKpzLJTw7YN6OTUAY1aw4OgB8wbv0Bfl/1XqNe4Ns6j+un9fHsyPy/M1ICJuvpcvs90z9lotVpcPJ0Tym/6Ei6cuqzfp9fAruQrkJeA6Uu/9OVkGrr22I3S5UoRGx2L75hZPEnkR216tKRdr9ZoNBrWBazn5J9nyJXHCh99e/wP09z9iH4XTcc+7WjRpSlotWxa/guH9h7lh2HdcazvAIBFLgvy5c9Lq0od06RvxAwXSpUrSUxMLHPGzONZIn0tejSnVc+WaDQaNgZs4syhs+QtkJdxC8aiUhkT+jYMX1c/oiKi9Pu4+7kR9jaUVb5r0m239LYxADlymrJx3yrmTVvMiSNn+K7Q/5g6fyJGRkYoFAq8R/sSfO9RunRlZr/TKrclO05uMui3bFm1Lc2aMvPe+6ZAPnwXe6NSGRPyNpRxw3yIjIhMs6a6jWsxKJGmlPp3PgET0Grhnnwf3/h2z81rGJUc7PTt3s6Ne/mmQD6mLfZCpVIR+jaUCcOmpEuTIPvyn54eJUlSfUmSXkqSdFSSpL8kSTojSVKlNB5jx2fUNydeW5AkSY/i/87UJyhJkopLknQmvfvXblYLE1MThrV1ZYXvKoZMGqxPy5s/Dx37t2d4ezfG9PRk4DgnVCYq+o/py851u3DrPIqNCzczcNwAnRa7Mvi6+eHWeRRunUel+uH6118OMLSTG0M7uRF0TWbupAUGARsA57EDsMxlmaZrG+Demz92HmJwe1fk63dp36s1ANZ2EiN6eOjPmdkBmzUbtzJ5ZgAx0TGZetyUMDI2YqSPC8O7jWRQBxfa92pN3m/yGOQZ6T2cpTNXMrDdcBQKqNesNgAtOjVlxjJvcufLrc/be2gPJs3xwMTUJN2asoNPge46TU1NGNhmGItnrMB18pBEOvLSeUBHBrUdzogeYxgybiAqE1WKPlOw6Hc07dCYgW2GM6DVUKrXq0ppm5K07NKMe0H3GdzelT93H6bXkK5ptpWxsRGjfFwY2m0kTh2G06FXmxTKz4UlM1cyoN0wFAoF9ZvVAaBlp6b4LvMhT6Lys7aV+H3nnwzq6MKgji5fdcDGyNgId+9huHQfhXNH1xR92817GMv8VjOovYvOt5vWRrItQ2XHivRrOZgJQ3zwmOEOwKgpLsyaGMCQTm4c+e0YvYf1wMw8J66TBjOyzzj6txrC30+ekztvrlTpMzY2YuwUNwZ2daVvu8F07tWOfPnzGuTxmDKCBTOX0butMwqFgobN6mJdoSz2VSrQvfkARjtPZNy0kQCM9nLll5920LutM+dPXaLP4B5ptlnNpjVQ5TDBvd1I1viuZdCkgfq0PPnz0LZ/G0a2H834XhPo59kXlYkKgPzffUPHge11D9nvbevnypxRcxnVcTQXjl7gf4UKpFnPe4yNjRg9ZQSDu7rRv/1QOv7QNllZjvZxZZHfCvq1G4oCBQ2a1aFarcoULV6Y3q0G0bfNYPoN74VlLktmeQXg1GE4g7uMIDwsHJ9RM9OsKTPrKYDWPVtS0rpEum0E731qBIO6jqBvuyF07tU2RZ9aOHM5fdoORqFA71N2VcrTo/kAxjhPwnOazud7O3fjwO5D9G03hHvyAzr0aJNmTZllJ5McJgwY0w/3zqNxae+GuaU5Nb53zJC9shvGxkaMmTIC565u9PuAn4/xcWWR33L6thsCKGigL78K9GzhhMfgSYydqis/0xym+C72pmu/1Acfsit1m9XGxNSEQW2Gs8R3BS5eQ/VpefPnoUv/Dji3c8GthwdDPHXtcX/3Pvyx6xBDOozg9vU7tP+hNbnyWNG+dxsGtR2OS9dRuHjp2vX1izczrLM7wzq78+rvV0wZ4ZsmfbWa1cTE1ASXtm6s8l3N4EkJQeA8+fPQvn87RrR3x7PnOAaM64/KREW3oV34Y+tB3DqO4u6Ne7To3ly/T6ueLSlpXTxDNktvG/Oeib4eBkFRl7HObFqzlX4dhrIyYB1uE4aSHjK732ltW5bfdx7CuaMrzh1d0xWwyex7r//wH9jzy2/0bTeEoOu36dAz7XWnsbERo6a4MqSrOwPaD0tR0ygfVxb7rWRAfLtXv1kdqtaqTJHihejTypl+bYbQN77d6zu8F/t+2c+AdkMJun6b9j1bp1nTfwJt3Jf7+cL8p4M28RyWZbm+LMv1AC9galp2lmW5w+eRBbIsj5JluT4wE9gUr7Pz5zpferCtVoFzR88DcPPSLST7svo064rWXD9/ndiYWCLCInga/JSSNiVZOmUZpw+dBcDIyIiY+LevZW3L0HN4dxbumE+PYd3TrMXaTqJk2RLs3mj4Nr1By3po47ScOZrwVtjc0pwZK3xYvHUei7fOo1QKnWV7B1tOH9Htc/rwWarVqYJCoaBIiUKM8x/Fit0LadWtebL9MkqRgt8xf8bETD9uSpQoU5zHwU8JCwlHHavm6rlrVHK0N8hjbSdx8fQVQDdKxKFOVQBC34YxqL2LQd4nD58yZkDGtGcXn7J3sOV0vM/cuHQTaztJn1a+kjWBiXQ8CX5KaZuSKfrMi2cvcevpQVz8kEwjY2Oio2O4F3QfM3MzQOePanXaP0OYUH5hqGPVXDkXSGXHigZ5bOwkLp7WvXU9efgM1ROVn1P74cny2thJrNyxEL8VU/mmQL40a8oulChTjCcGvh2Y3Ldty3LpvW8fOUu1ulWwd7DjzDGd/714+hIjYyNy583FhCE+3LlxF9B1OqOjY7CrWoG7QQ9w8xrKip0LefPqDW/jR3V9ipJlS/DowRNCQ8KIjVVz6dxVqiQpu3J21pw/dQmA44dPU6OuA0HXbzOo6wgAChb+ltCQMABKlS3B8UOnAbh8LpDKDobXmhrKO5TnwtGLAARdDqKMXRl9mlSxLDfP3yQ2JpbIsEieBf9NCZsSqExVuPi6sHDCYn3ewiULEfpvGO2d2jNrqz+WuS15cv9psvOllhJlivP4wRO9n18+e5UqNSoa5ClnZ60fXXDi8Bmq163G1QvX8XKfAYBWq8XISIk6Vq3fp/uAzpw+eo67QffTrCkz66nyVcphU8mGvRv2JT9RGkjsU+oP+pRk4FOOdasRdP02zl3dAEOfCrp+h1y5dS87zC3NDWyXWjLLTrHRsQxv50r0O91IHyNjoy/yYuNLktzPA6lSw/A9oo2BnyeU3+BubgB8V/g7wuJfWpmYmrDnl99YGbDuS17GZ8HewZYzR963x7ewsUvwo3IVbQi8kFJ7XEG/z+kj56hapwoh/4bSp4kTGrWGvAXyJvOhes3rEBoSxrljF9Kkz7ZaBc4f1e1z61JQEj+XuHH+Rry+SJ4FP6OkTQmWeC/jzx2HUCgUFCiYX/+ysVyVclhXkti34de0GyoR6W1jAPoO6cmVC4HIN+7o8/p7B3Ds4ElA149J7/2X2f1OGzsJa7uyLN+xkJkrppAvHf2WzL73/L3ms2/bARQKBf8r+D/CQsMyRVPlJO2ejZ3ExVPv+3enqV63KoEXruPtrgs6Jm73ZnsF8Ou231EoFHxbsEC6NAmyN//fpkflAV5KknQUGCzLcpAkSYOBb9EFTn4BcgFmwARZlv+QJOm5LMvfxu9zBagAWAGdZVl+KEmSC9AD0AJbZFleIElSB2AsEAs8A7oBNYA58dsigU6yLKd4R0mStA7IF//TGvADigDfAXsAH+AWYC/LcoQkSaMBDbANWAHkBKKAtI0HTwFzSzPCE400idPEYWSkRKOJS5YWGR6FhaU5If+GAlCkZGGGTBrExAGTATi85yi71u0mIjySqat8qBFUXd9xSw19XXuyau46g20lpRI0bd+IcQMnM2BkH4O8F05cZMdPeyhSohAT53ni3M6wITCzMCciLDxeeyQWVhbkNMvB1jU72bTiF4yUShZvm0/QVZm7t9Le6f8QjRvU5unfLzLteB/D3NLMYFRSRPx1JkahUKSYfuLPU8mOd/jXv/iu8LcZ15QNfMrc0pyIRLaJi4vDyMgIjUaDeSLf0OnQ2SUln9GoNfrpWS5eQ7h9/Q6P7z/BNIcpDvWqsvnoOqxyWzE4SUcktRqTl5+5QZ7E5ReZKP14CuUXfPchSwNlzh2/QPMOjfGY7obHwElp1pUdMLc0N/CViIioT9vG0hwLCzO9P+m3W1nop8bZVi1P534dcG7vQvV61ahasyK9GjsRGRHFil0LuXbxBo9SMaLLwsKcsDDDsrP8yL0XGR6h16/RaHAdN5heTl2YMX4OAEE3btOgaR12//IbDZrWIadZzk9qSIqZhRkRoYb3ntJISZwmTpcWljCUOio8EnNLM4ZNHcr25dv55/k/+jSrvLkoV9WGxZOW8Cz4GVPW+XA78A5XT11NsyYAC0tzwhPfbxGRWFga2ooEUxEZHomlpQUx0THERMdgbGzEtAWT2LZ+N1GRuukHxipjOv3Qlp7NndKlKbPqqbwF8tLHvTeTnCbToHW9dGnRa7JI4vOf8KnE6e99qqdTZ2aMnwvAi79f4j5xKC3aN8HEVMWSWSvTrimT7KTVavn39VsA2vdrR07znFw4djHNerIzFpZJ6oSISCwtk9ZZCX+/r7NAV34uns70cOqM7wRd+YWFhHH6r3O06dri84v/zJhbGPqKJi6JHyWqtyLj63pdO63bbmirODr1bYfT6L78stpwsHzv4T2YPCxN724BMLM0Mxh1rUlUd5pbmhukRYZHYh6vRWmkZOUfy1CZmvDTvA3kLZCX3u69mOzkQ/3WdZOdJy2kt42pXqcqxUoWwWfMTCpVs9Onv38hUbxUUUZPdsG1r0e6dGV2vzP47iNuBa7m3PGLNIvvt4xNY78ls+89ACMjJVsPr8fU1ITlc9M+xS1pHyYyQteuGWpKYqck7d7UBRPZsX6Pvt0zMlLy8+EfMTE1YcXctWnW9J9ArGnzVdMwPuBiCtgD7YDxKeQrBXwDNAMKAGVTyHNOlmU3SZKmA90lSdoDdAVqx6cflCTpd6A7MEuW5W2SJPVGF+Rphy4oNB9ogy6A9LEw6GFZludJklQcOCPLspMkSTmAJ7IsT5QkaTvQEfgJXdCoMbAEWCDL8n5JkhqhC0RN+IR9PkpEWKR+tACAUqlAo4lLMc3MIqe+oq5Y0x736a7MGOGnn7KybdUOfcN25tBZSlconeoHbAsrC4qWKsKlU1cMtrfo3IT8337D4q3z+K7It8TGxPL34+eUsi5JlVqV+b6Nbp0Rq9yW2DvY4uyhG66+YekWIsMjMDM3I/pdDGYWZoSFhPMuKpqfV20jOn5e/8WTlyhdrlSmBm2+BEPGOlHRwY7SNqW4fvmmfru5hRnhIYZTy+ISVXC69M8bnc8uPhURFoGZRSIdCiUajW40TES8byTo0PlHSj4DujeeE+Z6EBkeyaxx8wFwGtmHDUu2sGvDXkrblMR35RR6fZ8wXeJjDB07kIoOdpRJofzCPlJ+ZimkJ+b8iYv6NSuO7D/G4DHpe6DNSgZ7DMDewZbSNqW4cfmWfru5ec5P2yY0nPDwSINyf78d4Ps2Dejn+gPuP4zl7ZsQQv4N5eZVmX/i1yK6fOYqZcuX+WjQxtXTmUoO9kjlShN46UaCvhTLLmFoupmFuUH6At9lrFrwE5t/W83FM1fwnxzARN8xtOvWiuOHTvHvm7epMZcBkeGRmFkkBHsUSt1Dx/u0nInSclqYERurpoJDBQoWL0hP955Y5rZk3GJPNszdwLPgZzy++xiAC0cvUNauTJqDNsPGDqJSdTvK2pTm2uUEW5mZJ5TJe7QGtjLTv0W0zGXJnFXTuXDqEmsWrtfncaxbjYtnrhp0itNCZtVTHfq3I1deK/zWzyBv/jyY5szBo7uPOLD1j1RrcfF0prKDPWXLlSLwkmF9EJqkvk7sU0nT3/vUpt9WcenMFUZ5uTDBdSqnjp6l7vc18V04maG9RqVaV0q2yEh9rlAoGDxhIIVLFsZroE+adGRnho8dRKXq9sn83DxVfp6QvnDmclYvXM+G31Zy6cxVnjxM/+i27EZEeCTmidtjpdLQjxLX2fF1fUSS9jhxoGDbul3s2riPeRv8qFyzIpdOXaF4mWKEh4YbrJWTWiLDIslpnlA/KpUKfd0ZERZBziT9hfdaNGoN/RsOpHLtSngGeHD8txPkypuLGeunkTd/XkxzmvL47mN+33ow1Voy2sZ07NGGgoW/Ze2OJZQsUxwbO4nXL/8h6MYdHGpVYeLMMYwb7p3m9Ww+V78zeb8ldf0o+Lz3nlqtoX3dHlSvU43pC73o3z5108mGjh1Ipep2lLEpzfVk7V7S+tzQTu81WeayZNaqaVw8ddmg3VOrNXSs24vqdaoydeGkZKOtBV83/5+mR9UAKgFb0I1EeY8CQJblG8ByYDO64EdKtnm/8ttjIAe6UTfFgEPxP/mAMsBIdMGiv4CaQBwwAygYn68TuhE3H0OO//0GqCZJ0kZgHrrgE8AqoLckSQ46+fI/gC0wPj5I5QX87xPn+CTXL9zAsaFuOGW5yjbcj18IDCDoShB21W0xMVVhbmlOsdJFeSA/oGJNe1x8huHRaxxy4G1AF1Fee2glOc1yAFC5VkVuX7uT/IQfoJKjHRdOXEq2fdG05QxoNZShndz49ZcDbF6xlTNHz/Hw7iO2rNzK0E5uTHD25sD2g1w9d02/Ts2pQ2cIPH+dmo10c+ZrNKzO1XOBFC1ZmBW7F6FUKjEyNsLOwRY5DTqzC0v9VuHc0ZUmdm0oUrwQVrktMVYZU8nRnsCL1w3yytfv6Kci1GxYnctnAz+rtuziU4Hnr1Ozoa78y1cux71EUyhuXA7CvrodJqYmmFuaU7xMMe7LD1L0GQD/tdO4e/MefmPn6hvZ0JAw/QPjm9dv9W/eUsMSv5UM6uhCY7vWBuVX2bHiB8pPN8y3VkNHLp/98IOz1xxPGrWsD4BD7arcCpQ/mDe7ssx/NUM6udHMvh2FE9mmoqM91y7eMMh7+8Zd/XDjmg2qc+VsIIHnruFYr5puWHOhAigVCkLehNCsQ2O69OvAkE4jePZItzivfO02paQS5MqbCyMjIypULsf928Ef1bdg5nL6dRhK3QrNKVqiCLlyW6FSGVPFsRJXLlwzyBt0XaZazcoA1GlYg4tnr1C9dhUm+o4BICY6GrVaTZw2jpr1HJg/Ywn9OgxFo4nj9F/nkp37U9w8f5NqDasBYF3JmuBE95585TYVHMqjMlVhZmlG0dJFkK/IONUfiEeXsXh0GUvY2zB8h83k70fPyWmWk4LFvwOggkMFHt5+mGY9i/1W4NRhOA1tW1KkeGF9WVZxrEhgMlvdpmpNnZ/XbujIpbNXMc1hwsqtC9i1eR8r5q0zyO9YpxonD59Os6b3ZFY9tWPNLpxbDMWt8yg2Ld7CoV2H0xSwAd0DQ78OQ6lXoQVFSxTGKrdVvJ0qcfWCYX0QdP22gU9dOnsVh9pVmOA7GjD0qdCQUP0Ip5fPX2OVO23rwmWmnUC3ULNJDhMmDpisnyb1X2CR3woGdBhGA9sW8X5upffzlMovwc9rcOnsFRxqVWF84vKLVaPNgvUUPieB569To2F1AMpXtuFeohdlN6/coqJDgh8lbo9rNNLtU6OBA1fOBlK0VBF8V+oCfupYNTHRMfqH8Wp1quinN6eV6xduUD3ez20qW/MgKFifFnRFxrZ6BVSmKswtzShauigP5GBcp7tQsaZuWlBkRBTauDh2rtnFkBbDGNV5DFsWb+HwrsNpCthAxtsYjyFe9Go9iH4dhnLi8GnmTlmkD9h4TnPHubsbN64GpdlGn6vfOXHOWBq21I1SdKhdJU39ls91702YOZpqtXR2jQyPMAiufIolfisZ2MGF721bGbR7lR3tU9RUpeb7/l0NLse3e8u3BrB786+sTNTujZs5iqrxmiLCIw0CdoL/Bv8fRtok5v2clLfophoFAZWBp5Ik2QKWsiy3lCTpO+AUkHQCetI7QAZuAM1lWdZKkuQOBKKbluQty/JLSZKWA+3RjbZZJ8vyaEmSxsXn+dirpPc1QF/grSzLzpIklQYGSZKkkGX5jiRJCmAM8P6TAUHAbFmWT0mSZA1kbCw2cHz/CarWqcyiXQEoFAr8Rs6i88COPA1+xqmDp9m+ZicLts9HoVSwyn8tMdGxDPceikplzLj5YwF4dO8xcz3ns9JvDfN+mUNsTCwXT17i7OHUN55FSxXh6cOEr5x0H9SZJ8FPOf5H8qGUAGsXbGDCHA/a9WyNuaUZq+asS55n/nomBYyjbc+WvH0TgtfQabyLesf+7X+wat8S1Go1+7f+wYNPPKRlZzRqDfO8F7Fw8xyUSiV7Nv/Kq+evKVG2OF36dcBv3Fzm+yxmwmwPVCpjgu885NC+o59VU3bxqaP7j1OtblVW7FmEAgXTRvoZ+NXW1dtZtnMBSqWC5TNXERMdk6LP1GtWm0qOFTExMaFGA10HconvClb4r2H87DF07NMWY2NjfMfMSrOt1GoNc70XsXjzXJRKJbsTlV/Xfh2ZOW4Oc30WMWm2ByqVigd3HvLnR8pvwfRlTJ43js592xMVGcXUUX5p1pRd0Kg1zPdZzIJNs1EoFezd8pvONmWK0blfB/zHzyPAZzHjZ43R2ebuQw7v+4u4uDiunAtk9d4lKJVK/CfMR6lUMmqqKy+evcBvlW7o/KUzV1k5ey2LfVewYJOu7A7tPcJ9+cHHZOlRqzX4T57Pii0BKJRKdm7ey8vnryhVtgQ9+ndiqucs/CcH4DNnPCoTFffvBPPH3sMANGndiA17V6A0MmLz2m08ffQ3eb/Ji9+SKcTGxHBXfsA0z7R/ee7kgVNUrlOJeTvngELB3FFz6TCwPc+Cn3Hm4Fl2r9nDnO2zUSoUrPP/8YNfg1LHqpk7Zj6eC8eCQsHNCzc5d/h8mvUkttWcyQtYumU+SoWCXVv28fL5a0qWLU63/p2Y4TmbOd4L8ZrjGe/nwRzce4QeTp0pVKwgHXq1oUMv3UKQk92m8/TR3xQrXZS9W/enW1Nm1lOZhc6nAlixZb6BT5UsW5we/TszzXMWsyYH4D1nHCoTnZ3e+1TT1o1Yv3cFSiMlm9du5+mjv5kxfg4TfEejVCpRKBRM85ydZXbau2EfLbo1I/DcNeb9otOxbfUOThw4mWn2y2rUag2zJy9g2ZZ5KBVKdm7Zpy+/7v07Md1zNrO9FzB5zjhUKmPu33nIwb1HAGjSpiE/7lmum/4QX37/Jf7afxyHulVYsXshKBRMd/ej26DOPHnwlBMHT/HLmh0s3bEApVLJMr/VxETHsjZgA17zPWnboxVv34QweZiuD3fn5j1W7l2MVqvlzOFzXD6je5FRrFSRNK9l854T+09SpU5lFuyah0KhwH/kHDoN7MjT4KecPniGnWt2MX+7rp1e47+W2OhYdq7ZhdtMV35w60lcnJaA8Qsz02QZamNSwnOqOyqVihkLvAAIvvcInzFpX8Q9s/udi6Yvx2ueZ3y/5V26+i2Zfe9tXLWVSf4eOI/sjzZOy3TP9PXv5kxeyJItOp/avUVnp5Jli9O1f0d8Pecw13sRXnPGolLpyu/PvUfo7tSZwsUK0qFXazrEf0BlstsMNq/aygT/MQwa2Y+4uDh801Gf/yf4D0+PUvzXPqeYGEmS6qObknQT3ZovluhG0bxEt77MI+Bp/O+ZwAZ0U6OUwHJZltcnWdPGYB0cWZa9JUkag27qkylwDnABWgCT0E1/Cgf6A6WBACACXUBmkCzrev+SJPUFrGVZ9oz/fx269XEOSJJUHtgEhADR6Na2aSTL8lNJknoAU4Ay8UGjkugCODnQjSYaAfwdf6yPfoahfuHvs5UjvItL+4KIX4Ljgen/NOPnooZtn09n+sJYGJl+OtMXJjv6VIw2+2l6z++B6X/g/Ry0tG+V1RKSEaF5l9USklHYJO+nM31hnsembvHmL00eY7NPZ/rCvI798PTGrOIblcWnM2UBWy/vzGoJBjSybZLVEj7IoWtpG931uWlTMe1f2/ncmClUWS0hGdmx7sypTP/XQz8n2bE/ZZRNJ7Rcfn5S8elcXyfvjq//Ys+zOer88EXt+J8O2ghSjwjapA4RtEkdImiTOrJjJ+M9ImjzaUTQJnVkxwcPEEGb1CKCNqlDBG1SjwjapI7sWHeKoE3qEUGbL0/UsXVf7Hk2Z92+X9SO2dObBAKBQCAQCAQCgUAgEAj+n/P/bU0bgUAgEAgEAoFAIBAIBP8l/sNr2oiRNgKBQCAQCAQCgUAgEAgE2RAx0kYgEAgEAoFAIBAIBALB14tWjLQRCAQCgUAgEAgEAoFAIBB8QcRIG4FAIBAIBAKBQCAQCARfL//hNW1E0EYAQLgmOqslGBCeDT+lC9nz89qnr/2Y1RKSUd/eKaslJCOObPVVewDMldnv0+iC1GNplDOrJSQjRBOV1RK+Gl7EhGa1hGSolEZZLSEZkXGxWS3hq8BUmf0+GZ1dUZL9vjj8Rh2R1RKSkdfYIqslJCM79qUAcpL9PkWe/bxc8DUjgjYCgUAgEAgEAoFAIBAIvl7EmjYCgUAgEAgEAoFAIBAIBIIviRhpIxAIBAKBQCAQCAQCgeDr5T+8po0YaSMQCAQCgUAgEAgEAoFAkA0RI20EAoFAIBAIBAKBQCAQfL2INW0EAoFAIBAIBAKBQCAQCARfEjHSRpAq6jSuidPIvmjUGvZs+Y1dG/capBcuXgjvgPFotVruBT3Ab9xctFqtPm32mul0a9hXn798pXK4ThyMc0fXdGtq0KQOQ0c5odGo2b5pL1s37DJIL1qiML4LJqPVarkTdI8pY/31mnLkNGXzr2uYM3URJ46c5rtC/8N/8RRQQMjbUEYPnsi7qLR/Bj072im1BN4IYu7SNaxb5P9Zz6NQKBjtO4LS5UoREx3LzDGzeRr8TJ/eukdL2vVqhUajYV3ABk79eUaf1sWpI3nz52WZ70oAvm/bkC5OHdFoNNwPus/scQF6e6aW2o1r4uTeR19muzftM0gvXLwQXvM9QQv3gh7gP34eWq0Wp5F9qNWoBhqNhrleC7l5JUi/T9P239OlXwcGtBkKQI0G1XEa2QeFQkFQ4G38x89LlZ1GxtspNjoGvzFzktipBW3i7fRTwEYDO3V26kDe/HlZ7rvK4Jhj/NwJfRuWbPvXSmaWXYkyxRg3azQKhYLH958wffQsNBoNI6e4YO9gS2R4JACj+00gIizlT8MqFArG+LpTplwpYmNimTF6Fk+Cn+rT2/ZoSbsf2qBRa1gbsJ6Tf54mV95cTFk8EdMcprx+8Zqp7n5ER0XTsW87WnZphlarZdOynzm09yjmlub4LJqAmYUZKpWKAJ/FXL9486M2ykxN3QZ2onHbhgCcOnyW1XN/xCq3Jd4LJ2BuaU7IvyH4jp7Nv/+8TXNZ1mtci0Gj+qNRa9i1eR87Nu4xSC9SvBBTAyai1Wq5K99nhucctFot7l7DqORgj5GxEdvX72bHxj1Y5bZkz8mfuSvfB+Dwb8fYtOqXNGuq36R2fBujYcemPWzdsNsgvWiJwsxY4IVWC3dTaGM2/bqauVMXceLIGXLltmL/6W3cCboHwJ+/HWX9yp/TYafaOI/qp7fT9mR2KszUgIkQb6fpnrPRarW4eDrjWLcaWq2W+dOXcOHUZb4t9D+mzJuAkbERCoWCKaNnEnzvUZo1fYk69GumTrx91GoNe7f8xq4U7DN5/jh9vyDBPn2pHW+fOV4LuXnlFtOXTiZf/rwAfFfkW65fusmEIT64TR5GRQc74uLimD9lMYHnr2fFpWYKmdlHAHD1Hsqje4/Ztd6wP5YR6jauxaBE9+HOJH29IsUL4RMwAa0W7sn38Y2vr9y8hlHJwU5fXyXdLy1kZh+hXos69BzWDa0WDu48xLbVO9KtK7G+zCzHjGrJLFt1GdiRVt1b8Da+nZvlOY/H956kW1OpeE3+STS1SqLp9Ec0NW7fiK7OndFoNPz28wF2/5R5vi7IPoigzUeQJKk+8AtwE1AAKmC+LMtp7/19+lzDZVle9BmOWxd4K8tyYHqPYWRsxEgfF3o3H0hU5DtW71nCsd9P8Ob1v/o8I72Hs3TmSi6evsI4v1HUa1abo/uP06JTU7o5dSJ3vtz6vL2H9qBFpyZERb5L93UZGxvhOdWdzk36EBUZxaZ9qzn8+zH+efVGn8fTx50A36WcO3UJ71meNGpejz9/OwqA18yxBg/3fZx78Nvug2xeuw23cUPo1KMtG1anrZizo51Sy5qNW9l74DA5c5h+9nPVbVYbE1MTnNu4UL6yDS5eQ/DsPwmAvPnz0Ll/ewa0GIKJqQlLdwZw/thFFEoF42aNxqaSNUd/PQ6ASQ4TBnn054dGA4h+F4334onU+r4GJw6eSrUWI2Mj3L2H0beFM1GR71i1ezHH/zhpUGZu3sNY5reaS6ev4DlzJPWa1ubvp8+p7FiRfi0H879CBfBbOZW+LZwBKFuhDG26tdDVGICZeU5cJw1mcCc3Qt6E8MPQ7uTOm4u3b0I+qq1Os1qYmpowpI0L5SrbMMxrMOP7e+nt1LF/ewa2GIqJqQmLd87X22nsrFHYVLLmr3g7vadNr1aUtCnJldNXU22f7Exml93QcQNZ6ruSy2cD8ZrnSZ3GNTl64DjWdmVx7TGGkE+UF0C9ZrUxNTVhYJthlK9cDtfJQ/DoNxGAvPnz0nlAR/o1d8bE1ITluxZy7tgFBrj35o+dh/j1lwP8MLwH7Xu1Zv/2g3To3ZbeTZwwNTVh818/cmjvUbo7d+b88Uv8vGobRUsVYeqSSfRpOuiLaDr2+0madmjMgJZDiIuLY8Xuhfy1/zjNOzfl6rlr/LhwI9XqVGHIuIHMGD0rTWVpbGzE6Ckj6NFsAFGRUfy4dzlHfz9uUJajfVxZ5LeCC6cuM9FvDA2a1SEsNJyixQvTu9UgVCYqdvy1kYP7jmBjK3Fg10FmTvh0cPRjmjynutOlSV+iIqPYuG8Vh38/btDGjPVxI8B3GedPXWJykjZm0kwPgzamnJ3Erzv/YPr42RnSNGbKCLo3609UZBQ/7V3OkSR2GuPjyiK/5fF28qBBs7o8e/w3dlUq0LOFEwWLfEvAOn86N+rN8LGD2LxmG0cOHKNm/eq4jh/CyAHj0qTpS9ShXzM6+wynT4tBun7B7sUcS2Ifd+/hLPVbFW+fUfH2eUFlx4r0benM/woVwH/lVPq0cGbCEB8ALHNZsGxbAHMnL6JMuVLYVa1A35bOFClRmOlLJ9O72cCsuuQMk1l9hNx5czExwJOiJYuw6V7aA6QfwtjYiFFTXOnVzImoyCjW7V3GX0n6eqN8XFnst5KLpy4zwW8M9ePrqyLFC9GnlTMqExXb/trAn/uOEhYSli4dmdVHUCqVOI93YmDzoURFRLH+6BoO7viTkH9DM2SnzCrHzCAz+1OSbVmmjZjJ7Wt3MqzJxNSEoR/Q1CmJpgsf0TR0kjO9Gw4gKiKKn46s4dDuI4SHhGdI31eLWIj4/zWHZVmuL8tyPaAJMFaSpIqf4TwTP8MxAfoDBTNygBJlivM4+ClhIeGoY9VcPXeNSo72Bnms7SQunr4C6N7AOtSpCkDo2zAGtXcxyPvk4VPGDMjY5ZYsW4JHD54QGhJGbKyai2evUNWxkkGe8vbWnDt1CYBjh05Ro64DAP2H9uLy+UDkGwkVbtCN21jlsgTAwtKcWLU6zZqyo51SS5GC3zF/xpc5l51DBc4cOQ/AjUu3sLaT9GnlKtpw7cJ1YmNiiQiL4EnwM0rZlMTU1IT9W//gpwUb9Xljo2NxbutC9DvdiCgjYyNiomPSpKVEmWI8MSizwORlZluWS+/L7MhZqtWtgr2DHWeO6a7hxdOXGBkbkTtvLnLlsWKo50DmTk6Iv9pVrcDdoAe4eQ1lxc6FvHn15pMBG52dbDkbb6ebSexkU9Gaaxdu6O30NN5OJqYmHNj6B+sXbDI4VoWq5ShXyZo9Gwzf8H7NZHbZjXXy4vLZQIxVxuQrkJfwsHAUCgVFShRmvP9oVu5eROtuLT6qyd7BltNHzwFw49JNgzIrX8mawPOJffsppW1K6vY5otvn9OGzVKtThZA3IfRu7IRGrSFfgbzEvNP59ZYV29i1QTeywsjIiOhU+HtmaXrx7CVuPT2Ii+8QGRkbEx0dQ4kyxTh95CwAgeevYedg+0lNSSlRpjiPHzwhLCQMdayay2evUqVGRYM85eysuXDqMgAnDp+het1qXL1wHS/3GQBotVqMjJSoY9WUs7fGxs6a1TsXM2vlNL4pkC/NmpK2MZfOXk2xjTkf38YcP3SKGnWrAdBvaE+uJGljytvbUN7emp92LWPeKl/yp0NTcjsFUqWGoSYbAzudxrFuNYKu32ZwNzcAviv8HWGhus78bO8FHP/zJJC++lOn6fPXoV8zSe1zJaV+QRL7ONStSkUHW86mYJ/3DBrdn5/X7OCfl//w8vlr3kVFY2JqgrmFGerYtPdfshOZ1UfIaZ6TNXN/5MD2g5mqL6X7sHKS+srGTuJi/H148vBpqtetSuCF63i7+wKG9VV6yaw+QlxcHD/U60dEWARWeaxQKpXEZoIPZVY5ZgaZ2Z8qa1eGH1x6sHjnfHoN755uTbZJNEkf0fQkiaafkmi6d+s+FpbmmJiaoFAoII0jzgVfB2KkTRqQZTlckqTlQCdJkroCdQAjYK4sy1slSToKBAHW6N4RdQVeAcuBIsB3wB5ZlidKkrQOyBf/8yuQV5KkJcA5oDWQMz5/ANAWqACMlmV5tyRJnYGRgAY4IcuypyRJ3kAJoABQDHAHXgPNgMqSJN2UZTnt454Bc0szwkMTIrYR4ZFYWFkY5FEoFCmmn/gz+aiHw7/+xXeFv02PFD0Wlub6jidAREQklp/QZGllgWOdahQrWYTJo32p7JDQcXr+7CUjJw6nVYdmmJiqWDQr7UMys6OdUkvjBrV5+veLL3Iucwszg+klmjgNRkZKNJo4zCzNCA9NSIuMiMTCypywkHDOHbtAiy5N9WlarZZ/499sderXnpxmOTh37ELatFiaE55IS0REFBZW5gZ5EpdZZHgkFpbmWFiYGbyFigyPxCqPFS4TnJnvvVgfSALIlTcXVWtWpFdjJyIjolixayHXLt7g0f2PD6c1tzAz0BaXyE7mluZEJLGTuZU54SHhnD92keaJ7JSvQF76ufdm/IDJNGxTP/XGyeZkZtlZWFnw9k0I3xb6H4t+nktEWDh3bt4jp1kOtq7ZwcYVv2CkVLJ023xuXQ3i7q37H9QUkagOiIuLw8jICI1Gg7mFORFhCWnvz2uWaHtkojpBo9HQqV97Bo7qyy9rdEPV39cvefPnxXvRBOZ7ffrBNrM0adQa/WgjF68h3L5+h8f3n3D7xl3qNKnF7eu63zlypn20noWlOeGJdUREYmFpWHcmHnURGR6JpaUFMdExxETHYGxsxLQFk9i2fjdRkVE8uPOQm1eDOHv8Ai06NMFzxkhGO01IuyaDNibik22MRaI2xnv0TColamPu3wnmxtVbnD52nlYdmzLBdzRuaRzVYmFpTlhYknbPMqnPJ/z93udB508uns70cOqM74S5APrgcfFSRRnl5YJbv7Fp0gNfpg79mklqn/dtWmJSso+5hW664XsiwqP09VSefLlxqF2FefGBLY1ag1Ybx9Zj67GwtGD6mM87xflzk1l9hL8fP+fvx89xbFA9c/WlUKaWlp+oG5LUV1MXTGTH+j1ERUalX0cm9REANJo46javzcjprpw+dJZ3mTDCO7PKMTPITFsd2n2Enet2ExEeyYzVPtT83tFgOlVaNEV8QJPZJzQ1S6LpgRzMyv1LeRf1jmO/nTCw7f87/sMjbUTQJu28AEYBl2VZri1JUg7gjCRJ70P5p2RZHixJ0lBgPDAXOCPLslN83ickjKo5LMvyPABJklxkWR4qSVJfwFKW5SaSJHVDF3xxBOoDIyRJOg74AFVlWY6UJGm9JEmN448XLcty8/j/R8my3EySpAPAlvQEbIaMdaKigx2lbUpx/XLCugnmFmbJht3FJbpJdOnpG+75KUZ4DqZK9YqULVeawEs3Es5pbpZsiGlSTWEhYXTq0YaCRb7jp53LKFGmOOXsJF6/+ocxk10Z7+rDiSNnqPd9LWYu8mZwT/dUacqOdsrORIRHYmaRU/+/UqlrpAAiwyIxszDTp5mZJ7dhYhQKBUMnOlO0ZGEmDPROtYbBHgOwd7CltE0pbly+pd9ubp6TsI+UmZmFGWGh4YSHJ9FpYYaFpTlFShRm7Ex3TExNKFG2OO4+wzl95Bw3r8r6aRWXz1ylbPkynwzaJLWTIpGdIsIiDNI+Zqf6reqRK28uZq2fQd4CecmR05RH9x6z/5ffP2WmbMnnKLv3AeDnT1/QqXZP2vZoidvkYUwd6ceWVduIjl/f6sLJy5QpV/qDQRtduSQcW6lQotFodGnhEZiZJzlvSDiR8duj38Xot71n29qd7Nqwl3kb/KhcsyKXTl2hlHUJpi71YuGUpVw+8+mpbpmpycTUhAlzPYgMj2TWuPkA/LRwIyOnubJ0RwCnDp3h5bOXn9T0nmFjB1Gpuh1lbUpz7XJCfW5mbmYQlAfQxiW8OdSVma7utMxlyZxV07lw6hJrFq4H4NyJi7yL0j10HN7/F0M9Uj9VZITnYCpXt0+hjTEnNBVtTMcebShY5Ft+3LnUoI05c/yCXtOfvx3FZaxzqjUNHzuIStXtk9nJPFV2SkhfOHM5qxeuZ8NvK7l05ipPHj6lWq3KTPAdw3gXnzStZ/Ml69B5X+Gom8EeTlTU2yehX2BmbpYq+0SEG9635hY59WXZqFV9Duz8U79fy85N+eflG1y6j8bMwoxVuxZx/dJNXv796nNe4mcjM/sImcnQsQOpVN2OMjaluZ6svvpE3RBfdpa5LJm1ahoXT13W11fpJbP6CO85tv8Exw+cZPx8D5p1asxvGewjZKdyzExbbV21Qx9sOXXoLGUqlE5X0OZjmiLDIsiZSk0lbUri2Kg6XWv0IioiiokLx1G/VV2O7juWZk2C7I2YHpV2igEbgSrxI2sOoFvrpnh8+uH436cACXgDVJMkaSMwD0j8GlL+wDkux/9+C9ySZVkL/AvkAEoD+YHf4s9fDiiVZL/H8XkzxFK/VTh3dKWJXRuKFC+EVW5LjFXGVHK0J/Ci4SJ38vU7+uHsNRtW5/LZdC+h81ECZi6jd/vB1C7flKIlCpMrtxUqlTHValTi8oVrBnlvXbuNQ83KANRtVJMLZ64wesgkerRyonf7wZw4fJpZPgsJun6b0Ldh+kb15fNX5MptlWpN2dFO2Zlr569To6HuzVf5yjbcS/QAfPPKLewdbDExVWFuaU7xMkW5Lz/44LE8/EZiamqCZ/9JaXozu8x/NUM6udHMvh2FE5VZRUd7rl28YZD39o27+qHPNRtU58rZQALPXcOxXjUUCgX/K1QApULBzStBdGvQlyGd3Jg4ZAoPbgczb/Ii5Gu3KSWVIFfeXBgZGVGhcjnu3w5Ok53KVbbh/q0EO9y6EoRdIjsVK1OUBx+w0/Y1O3FqPgTXzqPYuHgLB3ce/moDNvB5yi7kTQiz182gSIlCgK4zFafVUrRkEVbuXoxSqcTI2Ah7B1vka7c/qC3w/HVqNnQEoHzlctwLSvDtG5eDsK9up5vCYGlO8TLFuC8/0O3TSLdPjYbVuXoukKKlijBz1RQA1LFqYmNi0cZpKV6mGNNX+OA1bJp++tKnyCxNAP5rp3H35j38xs7VP5RUdLRn98Z9DOkwgicPnqZpAdTFfitw6jCchrYtKVK8sL4sqzhWJDBJfR50/TZVa+qmAtVu6Mils1cxzWHCyq0L2LV5HyvmrdPn9Z7ryfet6gNQvXZVbgYGkVoCZi6jT/sh1CnfjGKJ2piqNSpyJYU2plp8G1OnUU0unrnCmCGT6NlqIH3aD+HE4dPM9llI0PU7TJs3gSatdIs4O9apxo2rqde0yG8FAzoMo4Fti3g7WentdPWCob0N7VSDS2ev4FCrCuN9RwMQEx2NOlaNVhtHtVqVGTvVnSE93LmZBj3wZevQr5Fl/qsY3GkETe3bUjiRb1dK0T53ktnn6rlr1KjnoLePQqHUj3RzqFOVU/FTEkE3vToyIoq4uDgiwyOJiYklp1mGu4BZRmb2ETKTJX4rGdjBhe9tWxnUV5Ud7VO8D6vE34e1Gtbgcnx9tXxrALs3/8rKRPVVesmsPoKZhRkLt81FZaJCq9XyLvIdcZkwvSY7lWNm2crc0pwfD6/S319ValVCDvxwn+BjXD9/HcePaLJPpaaI0HCi30UT/S6auLg43r5+i2X8cg//L9HGfbmfL4wYaZMGJEmyAgYCq4AjsiwPkiRJCUwC7sVnq4JuNE0t4AbQF91CwM6SJJUGBkmS9H7cZOIST7zk3sdqywfogjKNZVmOjR+ZcwVo94H94shgcE6j1jDPexELN89BqVSyZ/OvvHr+mhJli9OlXwf8xs1lvs9iJsz2QKUyJvjOQw7tO5qRU34StVqDn9d8Vv28EKVSwfbNe3n5/BWlypag54AuTBnrh9/k+UydOwGViTH3bgfz+95DHzzetPGzmOQ7BiMjI1DAlLF+adaUHe2UHflr/wmq1a3Cst0LUShgurs/XQd14umDZ5w4eIqta3ayZEcACqWSFX6riYmOTfE4ZSuUoVX35lw9e40Fv8wBYOvqHRw7cCLVWjRqDfN9FrNg02wUSgX/x959h0VxPH4cf9/RhAM15heT2PtaARsisUSNidFYUDG2xIYoKAioCFY0KqKCIPYWE2NJjN3EJNYYexcbayUqxkRjVJqUu/v9ccd5B6iACOh3Xs/Do9zu3X6YnZudnZvd27buZ90+q14RtwFdmTl2DpGT5zN21mgsLCy4cfVP9mz/HY1Gw5lj0SzftgClUsnMcRHP3MZ//z5kfsgS5q7R3Zx197a9Oeqc7N9xgEYtGrJgy1wUCgUh+nK6fSOOgzsPs2HFJuZtjECpVLI0dMUzy+lNld/77pt5q5kYEURaajpPkp8wbdRM/v3nATs2/MaK7QtJT0/n5/W/PnfAbd+OP2jcohFLts5DgYKp/qH08nDjdmwcf/x2iPXLN7Bo01yUSgWLZywjNSWVryNWMSEyiM59OvDwwSMmek3lSfITrly8xrJtC9BqtRzee5TTR84y8+upWFlZ4j9Fd/+rhPgEw02FX3Wmlu2aUd/ZEUtLS5rqLzdYELKEm9duMXGu7jKfe3/dZ9rI3F+akZ6uJmzSXBaui0CpULB53Xb+uXufKjUq0XNgd6YHziYsOIqJYYG6fXkllp3b9tLb3Y2yFcvQtW8nuvbtBMAk32lETlvI5Dlj6dG/K8lJT5jsH5KnTDMmRrD0e13ZbDQ5xrgxZcxMZk6KZEr4WCwsLbh2+Qa/btvzzNcLmzqfaRHj6TWgG8lJyUzwm5anTLMnzWXRujkoFUo2rdvOP3fvUaVGJXoN7M60wNnMDp7LpLAgLCzMuX7lT3Zu2wvAx51a883WxZiZKfn+6w3E3fyLiK9DsbCwYOpc3c1BY6/e5KuA3B37CqINfZ3pymceUWtmo1AqTcqnx4CuhI6do+sXzArA3MKc2Ku6foFGo+H0sWhWbFuIUqlgptFNtStWLU/cn0+/ZebXTbtwaFyP5Vt1ZfnLxp38ee1WYfy5+SK/+giviq69imLBujkoFAq2rNP19arUqMTnA7sREhhGePA8JoaNwcLCgutXYtm1bS+93N0oV7EMXft2pGvfjgBM8p3OnZt/5SlHfvURkhKS+G3TbuZtmEN6ejrXLl3ntw278lw+GYrSfsyvskqMT2TpjOVErg8jLTWNkwdOc2RPzj5AeV4mFApm+M2kh0d34vSZflyxiSh9pmXPyfR33D9s/W478zdFkpaWxp0//3qtP5gTnk2R26/H/V+S6duj1OgGuSKBTUAY0BiwBTbJsjxFP/PlP6AUkAh8AbwHrAEeASno7m3TBpiG7rKlX/Tb2gvEAbuAmvr71LQDesqy3F9/8+MZ+kue+gJe6O6nEwsMAAKAu7IsL5IkqSawSJblDyVJGgIMAz6XZfnpHOZMGr3fvEhVhAT1q//GpLywNSt6n14dPvdNYUfI4kMH98KOkEWaVl3YEbKwUhTdcfONZzYXdgQTHRw+K+wIWSjfhK+3KQDJmtzf4LYgpGqK3g1bLZRmhR0hi2JKy8KOkK2fzhatG6u3d+hQ2BGe6eezPxV2BBNdHDsXdoQsktRF7z5KRbHPqXnu58qFpygej4teIp39cbuLarSXlrx1doFVUOtOowq0HIvuGUMRIMvyPnQ39s2O/zMeD5Jl2Xie8b+AQzbr9c+0rVbZbP8XdJdfIcvyGXQ3FUaW5e+A7zKtHmz0vBh098BBluXF6G6ELAiCIAiCIAiCIAjCa0QM2giCIAiCIAiCIAiC8PoqhHvNFBQxaJOPZFn+sLAzCIIgCIIgCIIgCILwZhCDNoIgCIIgCIIgCIIgvL40b+5MG/GV34IgCIIgCIIgCIIgCEWQmGkjCIIgCIIgCIIgCMLr6w2+p42YaSMIgiAIgiAIgiAIglAEiZk2giAIgiAIgiAIgiC8vorQPW0kSVICCwAHIAVwl2X5qtHykUBvQANMl2V50/NeTwzaCABYKItWVbBTWBd2hGyplJaFHSGLDx3cCztCFvvOLivsCFm42Pcv7AhZPFYnF3aE14YSRWFHyOJRelJhR8jCTFH0JtBamxW9drOoKor1XPMGTzfPTyXMima/RcgZGzOrwo6QxRNtWmFHyKK4slhhR8hWoia1sCNkYakwK+wIQuHqAhSTZbmpJEnOQBjQGUCSpJLACKAaoALOAM8dtCl6vTtBEARBEARBEARBEITXUzPgFwBZlo8AjYyWJQJ/ohuwUaGbbfNcRWt6hSAIgiAIgiAIgiAIQm4UocujgOLAI6Pf1ZIkmcuynK7//RZwETADQl70YmLQRhAEQRAEQRAEQRAEIQckSfIAPIweWiLL8hKj3x8Ddka/K40GbD4F3gcq63//VZKkg7IsH3vW9sSgjSAIgiAIgiAIgiAIry+ttsA2pR+gWfKcVQ4CHYEf9Pe0OWe07D8gGUiRZVkrSdJDoOTzticGbQRBEARBEARBEARBEPLHJqCtJEmHAAUwQJIkf+CqLMtbJUn6CDgiSZIGOADsfN6LiUEbQRAEQRAEQRAEQRBeX0XonjayLGuAoZkejjFaPgmYlNPXE4M2wnMpFApGh/hSrXZV0lLSCBk9i9uxdwzLO/XuQJe+HVGr1ayMXMXBXUco8VZxJs8fj1UxK+7//S9T/UKpULUcvsHDDc+r06A2gYPGc2Tf8Vzlad7WBXe/fqSnq9m27mc2r9lusrxcpbJMighCq9VyLeYGM8fOQavV4u7fn2ZtmqJWqwmbGMXFM5eQ6tUgaMZIUlNTuXzhKmET5uLcsjH9hvcx/O0OTvXo2ao/sVf/zFFZ+U33oWrtqqSlpjFrdBhxRmXVoXd7OvXpgFqtYVXkdxzefZTSZUozJmwUZuZmoICwgDncun6b7u7d6NDrUx490N2/KmyM7vHcUigUjAoZQbXaVUlNSWPG6NkmmTr27kCXvp/p9993HNp1xLCsh3s3Sr1TikUhSwH4qHNrerh3Q61Wcz3mOrODItG+4mmI0RdiCF+4gpXzZr6ybeRnnapRpxqBM0aiVqu5ef0WU0fORKvV4tKqCe7+/VEoFMREy4SOnZPjfC3bfoDHyIGo09VsXrudjau3miwvX6ksX0WOR6vVclW+zvTAMLRaLX4Th1HfyQEzczM2rNrCxtVbKV7Sjq0Hv+eqfB2APT/vZ82yH16+EAtRs7ZNGejXD3W6mu3rfmbLmp9MlperVJYJEYFotVqux9xg1tgItFotg/z74dLGGbVaTcTEeVw8YziOMiJ4GDev3WLTKl1ZK5VKpi6axNY1P3Fk3zMvN87iw4+b4TXSHbVazcY1W1n/3RaT5RUql2P63IlotXA15hpTxsw0vKeKWVux5qflhH81jwN7n74vGzetT+iCKbSu3zHXZQXQ8uNmePoPJF2tZtPa7WzIlKl8pXJMmztBV59irjM1cBZarRafoKE4t2iMVqslYuoCjh86xZivfKlZpwYAb5cuRfzjBPq0d89Trgx5fT9mLJu1fBq92vR/qQwZ8vO9917Zd5k2byIKFDx6+Jggr0k8SU7JdaYWbT/AY+QAQ6ZNq7dlyTQ5chxaLVyTrxOiz+Q7cRj1newNmTat3sZ7Zd8leE4QZuZmKBQKvho1kz+v3cx1puZtXXD37486Xc3WdT+zOVOmcpXKEhw51rDPQoPCTfbZ7BXT6Nm6v8lzGjR1ZErUeD5r1D3XeYoihUKBzzRvqtauTFpqGmEBEdwxOha37/UpHfq2R5Ou5ru5azm6+yilSpciMDIAC0sL4h/GE+ITSnJiMq27tMLNoxsajYZfvv+Nbau2P2fLr5/87LcA+AR7cfPaLTavMq2XryJHibeKEzx/PFbFLLn/979M85tJypMU+nj1pG2X1iTGJ7F64TqTzI7O9kyMGkvXxj3zUlyvvF+cm36eQqFgxHRvqtauQmpqGmGj55jW896f8lmfDqjValZHruGIvp4HzR2DhYU5j43qeavOH9LNvSvqdDU3Ym4QOTYq11lGh/hRXd8nnz5qFrdj4wzLO/fuQJcvOqFOV/N15CoO7jpMiVIlmGI4f7nPV36hpCSn0HNwd9p2bg3AoT1HWR7+DcWsizFlwXjsStiRnpbOlBEh3Lt7P1f5/ENG6M4ZUlKZmemc4bPe7emkr1/fRq7m8K4jlC5TmsDwUZiZ6drsWWPCuXXtNm06t8LN0D+/QXgB9M+FgldkvvJbkqQPJUn6R5KkfZIk/S5J0iFJknpIkuQoSdLE5zyvhSRJ9q84W6o+V8bPgnx87ZWSJLXL9Njd/Hr9l9WiXTMsrSzx6DScBSFL8J7oZVhW6p236DGwK0O6eOPbOwDPwMFYWFow0K8fv23ejWfXEVw+fwXXLzpy5cI1hrn5MczNjw3fbGbfz/tzPWBjZm6GX/BwhvcayZBuPrj27Uip/3vLZB2/4OEsDF2Gh6s3CoWClp80Q6pXgwbOjvTvMISxnsGMme4LwNiZowifFIWHqzcJjxNp5/oRh/cdY2j3EQztPoI/dh3i2/lrcjRgA9Cs3QdYWlkyrLMPS0KW4Tnh6eBqqXfeottAV4a7+jK6TyCDg9x1ZTW6P5tWbsbXbSSro9YyOGgQAJJ9dUJ8Q/F1G4mv28g8DdjA0/03pJM3i0KW4j3R0yST20BXhnbxwa/3GIYG6jJZFrNkUtRYuvbvbFjXspglHgED8Xbzx7OLDyo7Wz74qGmeMuXUitXrmTQjktSU1Fe2jfyuU+7+/Vk25xsGdxmOpaUlzT5qio3KGp8Jnvj1C2TAZ0O5c/suJUuVyFE+c3MzRk0ZwdDPfRno6kW3LzpnyTdqsg/zQpcwoIsXChS0atecxh80oEKlcnz5mQf9Ow1lwPC+2JWwo1Y9iV8278S963Dcuw5/7QdszMzNGBE8nBG9RuHZbQSds9l/I4K9WBy6nKGuPqBQ0OKTD5DqVae+swODOngywXMKo/T7r2SpEsz5LpTmH7sYnl+2YhkWbYqklqOUq2zm5mYEfuWHew9vvuw8BLcvXHn7nVIm64yZ7EtkyCK+6OQBCgVtPm1pWDZhRkCWTtd7ZUrTb2hvzC3y9nmLubkZY6aMwOPzEfTv4olb385ZMgVMGUHUjMX06zwUhQJat2tBzbo1sG9Yh96fDmL0kAkETvUDIHRCBAO6ejG4hzcJ8YkEj3zhlx88V17fjwCfdvuYaQsn8dbbOXtvvUh+v/f6enzOr1t2M9DVi2vyDVx7537QzdzcjJFTfPD83I9BrsOyzTRysg/zQ5cySJ/pw3bNafRBA8pXKku/z4YwoJMn/fWZvMYMZt2KDQzu6s3yyG/xHpv5A8EXMzM3w3+yN8N7+uPR1TvbfeYfPJyFM5YyuMtwFApo2U63z9p3/4Tpi4Ip+XZJk/XfLVOaPh498lzPi6IPPnHBspgFPl38WBaygqETnt678q133sJ1YGd8Xf0J7DsW98ABWFha8LlnD3b+uAu/biO5ev4q7XvpuopDxg8moHcQI1z96e7RDdsStoX1Z70S+dVvKVmqBLNXhdCsrUt2m3klOQb4fcnOzbvx6urL5fNX6fJFR6rUrExb1zZ4dByGX+/RuI8agFUxKwBKl3mHnh5umJvnra4XRL84Nz5o54KllSXenX1ZFrI8m3rehRGufgT2CWJQ0EAsLC3o6dWD39bvxLfbSK5euEb7Xp9iWcySgaP7M9JtNCNc/VDZqXD+qEmusrRs1wwrK0sGdxrG/OlL8JlkvP9K4TaoGx6dhzOi92g8g3TnL4P8vuS3TbsZ6uqDfP4qrn07UqbC+3zStS2DOw1n0GdeNGnZiGq1qtC5z2fERF/Gs+sIftmwk75euRt0a64/Z/Dq5M3ikGUMm2h6ztB9oCvDuoxgVO9AhgQOwsLSAveAAWz8egsj3EayKmoNQwLdsSxmiXvAQEa4jWRYlxGo7FS4fOScqyxvFI2m4H4KWJEZtNHbI8vyh7IstwQ+BsYAyLI85TnPGQiUecW5HuhzZfx4vfgpbwYHp3oc2av7ZPnCqUvUsq9hWFbbsRbRJ86TlppGYnwit2PjqFarCg5OdQ3PObz3GI2aNzQ8p5h1MdxH9mfOxKhcZ6lcvSK3Y+OIf5RAelo6Z46do76zg8k6NevV4NThMwAc2nsUpxaNcHSqx9H9ugGiv+P+wczcjJKlSvDu++8QfeI8ANHHz+Hg9HTsr/T779C+2ycsDV+Z43z1GtflmH4g6uKpS0gOT8uqpmNNzh9/WlZxsXFUqVWFhVMWcXj3UQDMzMxITUkDoEa96vQZ3ouojRH0HtYrdwVlxN6pLkf26jJdOHWJmvZPTzxrO9binMn+u0PVWlWwsrJkx/rf+HbuasO6aSlpDOnsTcoT3SfDZuZmr3QwBaB8mfeJmD7+lW4jv+vU5fNXKFFSd6N4G1sb0tPSsW9Ul6sx1/GdOIwlm6J4cO8/Hj54RE5Url6JWzduE/8onvS0dE4fPUvDpo4m69S2r8mJQ6cBOLDnCE1aNObsifNM9JsOgFarxcxMSXpaOrUdalLLvibLN81n1tKp/F/pt/NadEVC5v139tg5HJ1Nx/Alo/13eO9RGrdoiINTPY7uPwGY7j9rlTXLwlbyy4anlxVbq6yZPnIWpw6eyVW2KjUqc/PGbR4/iictLZ1TR8/SyLm+yTp1HGpy/NApAP7YfYimLRoDMMCrD2eORyNfuGJY19LKkuBZgUwZk/dZZ8aZ0tPSOXXsLA2dHU3WqW0vPc205zDOLRoTc/4yQz73BaBMufd4/Cje5Dm9B/Xg0L6jXLl0Lc/ZIO/vR4D4R/EM6erzUts3zZK/7z35whWKl9C1DbZ2urbh5TNF0yBTplr2Eif1mQ7uOUyTFo2IPnGeYL+QLJnCg6M4sOsQkNGm537mT+XqlbiV6T2YZZ/ZS5zM2Gd7juLUXLfPHj+Mx8PV22RdSytLgkJHMSMoPNdZirK6TnU4vk/X5lw6HUMN++qGZTUdJc4fv6g/FicRF3uHKrUqs3DyInZt3I1CoeCdMu+Q8DgRgBsxN1DZ2WBpZYlCwRv3iXp+9VusVdasCP/GpD1/1TnsjfrMR/YepVHzBlSqXoHTh86QmpJGakoat2/cplrtKlhaWTB6hh+zx0bmKR8UbL84J+o1rvu0np+KydQPlrhw/IKhnt/R1/MFwU/reeky75DwOIG0lDR8uvhm6nOm5SqLg1M9Du/LOH+5aLL/6tSvSfTx7M5f6nE44/xlz1EaN2/I33f+wbdPABr9SbqZuTkpKal8v+xHVkZ+B8C7ZUsT/zghd2XlVI+je43OGYzy1XKsybkTF7LUr/mTF3J49xFDmaSkpJKWkoZXZ58C7Z8LhaPIfowhy3KCJEmLgXmSJN2WZbmnJElfA9UAayAS3XebtwMaSJJ0EegEdAVUwH3AFegNtAdsgKpAqCzLKyVJagJEoBu4igP66F97LrqbBf0LDJRlOduzK0mSKgHb9Ov9jO7mQVGAGngCDNa/9vfovoe9ErAOqAvUB36SZXns88pAv40V6PaTFvCRZfmsJElXgUNADWA3UAJw0hWb/IUkSeXR3c3aGt2dqT1kWb71vG09i8rWhoT4RMPvao0GMzMlarUGlZ2NoRMBkJSYjG1xFSpbFYn65yQlJGFrpzKs07FXe/Zs/51H/z3OfRY7lUmWpMQkbIurTNZRKBRPl+u3rbJV8ei/p7sxMSEZ2+K2xN38iwbODpw6cpbmbV2wtilmWKe3Rw/WLv2BtNScHyRUdqZlpVFnKivj7AnJ2NqpDOVQvko5PCd4MH6Q7tLGPVv3sXnlFhITkvhq2WSaxjQxDO7khsrWxrAvANQatSGTTZb9pyvP+EcJHNt/gvY9PjEs02q1/Hf/PwC6D3DF2qYYx/Qnva9K21bNiPvr71e6jfyuUzdv3CZgmh8Dfb8k4XEiJw+foXX7ljRyqU+ftoNISkxm6eYozp08z80czJ6ytVOREP+0I5CUmIStXaZPVZ/GIykhCTs7W1JTUklNScXc3Iypcyfw46otJCclc+PKn1w8G8PRP07QvuvHBE73Z5T7uJwWV5GjslORmLl8ipuWT9b9Z5tl/yUl6J53OzaOv27dpWnrp5/oXb2Yt4EIWzsVCUaduMTEROyeky1Rn8G5eWMqVilP8KgZ1Hd62vmeEDKaFQtW88/de3nKA6CyNa3viQlJL8yUsVytVuMTNJQ+7m5MH/v0hNrcwhy3L7vQq93APOcy5Mvj+xHgwK7DL719Y/n93vv7zj+MGOdJ+65tsbC0ZOHs5bnOlF352Nm9oE5lyvTV3PFsXLWV5KRkkpOSAahYtQJ+E4fjPyAoD5lsTOt5wvPfg8bLMwaMjAVM82PVwrW5uszgdWBja0PiY9P+gdJMiUat0S0z2q/JCcmo9PVaaaZkya8LsbSyZFWEbkDihvwnC36ez5OkJxzYccDkdd8E+dVv+evWXf66dRfnVrmbofEyOYz7zEn6/Xjt0g2+GN4bG5U15pYW1G1Uhy2rt+M/1Ye1i37g/kvU9YLsF+eEjV2mMjOq57rjtXE/OMmkni/9bREWVpZ8O+c7fZ/zIQBdBnTGWmXNyf0nc5VFZaci0aht0mg0mJmZoVar9ecpRu27vl2yMXo84zF1utpwqwLviZ5cPn/FMPtdo9Ew74dwqtaqgk/PUbnLl6l+aUzql8rkfZ2UmISquNE5Q9VyDJswhLGDJpr0z7sO6IK1jTXHc1lWbxRt0bmnTX4rsoM2en8D/wfcliTJDmgBOKMbwPhYluWTkiT9gm4w5DbwNvCRLMsaSZJ+BRrrX6eELMufSJJUHd1Ay0pgMdBLluVLkiQNAmoBC9AN1FzUPxYAjANKSZK0zyjXSHSDNe8BDWVZTpUk6QTgLsvyGUmSOgPhwCigCrpZQ9bADaAskAT8CWQM2syUJCnQ6PUz5qvPBiJlWd4iSZIjsBxohG4AqDXwF/AAaAJ4A9clSSqpf95cWZZ3SJLUBpiBblAq1xITklDZ2hh+Vyp1DQpAYnwSNkbLbFTWxD9KIDEhERuVDSlPUrGxNe3QfeL6EWOH5PieSwAMDXDH0ake1WpV5cLpi0bbsyH+kenItsZoupqNrQ3xj/V5jHKqbK2Jf5zAFL8QRk7xwd2vP6ePRZOqH6BRKBQ0+8iFhaFLyY3E+CRsVMZlpTAtK6NlNrbWhnJxdHHAb5oP00eEGg4EPy7baGjMj+w+SrW61fI0aJOYkISNrbVRpqf7LynL/rMh4dGzPylQKBR4jR9ChSrlGDc4ONdZipJXVadGTvHBw3U41y/H4tbfFd9Jw/jjt4NcPBvDv/ceAHD6SDQ16lR/7qDNsDEe1G9iT41a1Th3+oJpvkyf5mg1Tz9l1eXTzYKwK2FH2LJpnDh0ihVRqwA4duAkT5KfALBnx+94BQzOWYEVMUMCBuHgVI+qtapw8fQlw+PZ7b+s5ZN1/2U8nh9GBA6lQRMHatSuRvSpp/tOpVJlmaFiXLdUtjbEP4qnW+9OlCn/Ht9sWkjl6pWobS+RkJBIQ2dHKlQux7BR7pQoWZywxVMZOSRnM9G8A4fQwMmBGrWrEn3qaX1X2dpkk0n7zOVzQxaxbO63rPl5GaeOnOHWn3E0bdGYk0fOmJw45NbLvh/z06t67/lPHM7EEdM4tO8ozT9yYWrURLz75qyT7zVmMPWb2FO9VjXOZ8n0gjqlz2xXwo5Zy6Zy8tBpQyaARh80IChkJBO8v8rV/Ww8x7jj6GRPtVpVOX/atE5lPo5kzpSQqc5l+L9336Z+E3vKVy4LIwdQomRxpi8MZqxncI5zFVVJCabHW4VSgSbjWJzpOG1t1D9Qp6sZ1MaDBs3qMyZiNPMmLKBJaye+cPmS5MQnBM4NoEWH5uz/6Y+C/YNeofzstxR0jsQEXV8v9UmqoZ/359WbbPh6M2GrQ/k77h8unr6EOl2NQxN7ylYqywC/Lyle0o7JC8YzyWtqjrIVdL84p5Lik7BWGZfZ03qeGJ+Itcr0uGtczwe2HkyDZvUJjAzAv/soFAoFHuPcKVelHMGDn3fBRfYS403/RqVCiVqt1i3Tn6cYZ4l/lEBSpvOXjLK0tLJkXHgASQlJzAqKMNnO8B7+VKxWgbBvQ+jukvNTrcz1S2FSvxKxNlpmXM/ruzjiP92HqT4zuHVN149UKBR4jvegfJVyTHjN++fCsxW1y6Myqwh8ByDLcjzgi24GyfeAlfGK+js0pwJrJUlaDpQDLPSLz+j/vQVkDBu/J8vyJf1zl8uyfAr9wI1+gGYgugEWyHp5VMYQ5g1ZljPmoJWRZTljO/uBOvr/X9fP1nkI/C3L8gNZlp+gG3jKEGD8+ugGYtDn2a/PeAYor3/8X1mWb8qynAYkyrJ8UZZlLfBI//fVA8bq/46JwLvZlG2ORB8/b/jUuU6DWly7dN2w7OKZSzg61cPSygKVnYpK1StyXb6he04b3XOatnLizNFoQDfqbWFlwT93cvdJ8aKZyxjafQSfOHSmXKVyFC9ph7mFOfWdHTh38oLJupcvXDFMF3dp1YQzR6M5e+wcTVs6oVAoeLdsaRQKJY8ePOKDNk2ZMPwrvD73o8RbxQ2XS1StWZk/r90k5UnupheeP3EB59ZOANRuUIvrMTcMy2LOxGDf5GlZVaxWgRvyDRxdHPCePIyAvkHI0ZcN5fT17qWGTzgafODI5XNXsm4wB869YP85mOy/ClyXbzzrpQgI9cfKypLAgRMM0zBfV6+qTj1++JjEhCQA7t29j10JW2LOXaaKVIUSpUpgZmZG3Qa1uXE59rn55ocuwb3rcFrX60B5o3wNnR2JPnHOZN2Y85dp5KK77KZZa2dOHT2LVTFLlq6fy+a121kyZ6Vh3eDwQD767EMAmjRrxMXoGF5Hi2cux6u7L+0dXClXqazR/rPn/HP2X9NWTTh7NJqzx87TpGVjw/5TKhSGT9JeVuSMRfRz9aR5nXZUrFyOEiWLY2FhTqOmjpzJtO8unbtMY5cGADRv48LJI2cY7TmBPp8Npp+rJwf2HGb25CjOHD9Hexc3+rl60s/Vk0cPH+d4wAYgasZiBnT1omXd9lSoXI7iJYvr61N9zuqnwmeIOW+UqXVTTh09i1OzhowL0Q0wpKakkJ6ejkb/aZZzCycO7H65WS4v+37MT6/qvff4UbxhAOXe3fuGS6VyYkHoUgZ39eajep+ZZGrg7JDt/muoz/RB66ac1mdavD6SLWt/YqlRpkYfNGD0VyMY3tufi2dz1xYsDF3GkG4+fGzfifIm70EHok+aZpLPXzFcWubSugmnn7HP7v/9L92a92FINx+GdPPh0cPHb8SADcCF4xdxaq37HLFW/ZrciIk1LIs5I1PPqS4WVhao7GyoUK0CN+RYfKYNx6GpbrZdUkISWo2WxPhEUp+kkPIkFY1Gw8P7D7F7w+5pk5/9loLOce74eVz0/V/nVk04e/QcJUuVwMbWBs8uPswKnEPp90sTfew8vVr0w9vNH283fx4/jM/xgA0UfL84p86fuEATfT+4VoNs6nmT7Oq5N44u+nqemIxWP8jkFzoCy2KWTBwUnKc+Z/Tx87i01t3bpU6D2lyLebr/LpyOwaGJPZZWllnOX1za6J7TtHUTzh7TtVUzv57K1YvXCB0TbhgE+3J4b9p1a2vInTE4lVPnj5/HWV+/ajeoxfVLT+vxpTMxJvWrYnXdOUN9F0d8Jg9jVJ9AwzkDwKhQPyytLBk7cOJr3z9/aW/wPW2K7EwbSZKKo7vEaJ7+9/fRzWpxlSSpGHBLkqRVgAZQ6m9G3EWW5SaSJNkAJ3k6eTm7C37vSJJUXZblK5IkjQEuAzLwpSzLNyVJ+gB4/wUxjffYHUmS7GVZjgZa6l/vWdvOqUtAc2CrfqZNxg2KX/SaMcBsWZYPSZJUU58nT37f8QdOLRqyZEsUKBRM8wulp4cbt2/EcWDnIX5YsZGFG+eiVCpZFLqc1JQ0vo78jokRgXTu/RkPHzxi0jDdgahClXL8dSvv91hWp6uJmDyPqDWzUSiVbFv3M/fu3qdy9Yr0GNCV0LFziJg8n3GzAjC3MCf26p/s3r4PjUbD6WPRrNi2EKVSwcxxum/uuXXjNgt+mMOT5BROHDzFoT2660QrVq1A3J93nhclW3/sOECj5g2YtzkShUJBqP8s3AZ3Iy72Dod2HmbDik3M3RCBQqlg2cyvSU1JY3iwFxYW5gRFjAHg5rVbhAdGsDR0BXN+CCMtNY2TB09xdE/Ov7HG2O87DtC4RUMWbYlCoYBpfjP53KM7cTfucGDnIdav2MSCjZEolEqW6PdfdmrUrc5nvT7l7NFzzP0hDID1yzey/5cDecpVVOR3nZo6aibTFk5Cna4mLS2NaaNm8d+/D5kfspioNbMB2LVtL9dy2MlMT1cTNmkuC9dFoFQo2LxuO//cvU+VGpXoObA70wNnExYcxcSwQCwsLLhxJZad2/bS292NshXL0LVvJ7r27QTAJN9pRE5byOQ5Y+nRvyvJSU+Y7P9yN44tbOp0NZGT5xOxZhZKpYJt63Zw7+59KlWviNsAV2aNjSBy8gKCZo3CwsKC2Kt/smf772g0Gs4eO8eybfNRKJXMHpf3ewo8S3q6mhkTI1j6/VyUSgUb127jn7v3qFqjMn0GuTFlzExmTopkSvhYLCwtuHb5Br9u25PvOTJnmjkpkiXrIlAolWzSZ6pSoxK9B7oxNXAWsyZFEhwWhIWlrj79ps/0Scc2rNq2BKWZkrVfbyDu5l8AVK5aga0//Jwv+fL6fnwV8vu9N2NcOEHTR6I0U6JAQUhQWB4zRbFg3RwUCgVb1v3EPX2mzwd2IyQwjPDgeUwMG4OFhQXXr8Sya9teerm7Ua5iGbr27UjXvh31maYzeooPFhYWTJmrGwCMvXqTaQGzcpVJna5mTvA8otaGoVQq2bpWl6lyjUq6fRYUrttnswOwsDAn9sqr22dF2YFfDtKgeQMiN81BoYBZI8PpNrgrd2LvcHjnETat2ELEhjAUCiVfz1xJWkoam1ZswTfEG61vHzQaDXPHRfFP3D9sX/0zERvDSU9N486ff/Hr+rzds6Woyq9+S2HkWBn5HeMjxtCxdwcePXhE8LBpPEl+QsXqFVj20wLS0tKZP3WxyeyXl1FQ/eKcOrDjIA2bN2DuZl0bNdM/jO6DuxEXG6ev55uJ2BCOUqlkxcyv9fV8M74zfPjCtw8ajZbIsVFUr1uNT3u249yx88z+QXcft43LN3Pwl4M5zrJvxx80btGIJVvnoUDBVP9Qenm4cTs2jj9+O8T65RtYtEl3fF48YxmpKal8HbGKCZFBdO7TgYcPHjHRayot2zWjvrMjlpaWNNVfarcgZAnb1+1gQmQQnXp1QGmmZKp/aK7Kav+OAzRq0ZAFW+aCQsEMv5n08OhO3I04Du48zI8rNhG1MQKlUsmy0BWkpqThPdkLc0tzxurPGW5dv83WVdvp0OtToo+eI+IHXT/zx+Ub+SMXZSW8HhRF5QZmkiR9CPyA7j41anQDSpHoZp0MBXoBCwF7/fLtsiyHSpI0BBimXx7F0xk4KeguJ7IAasqyHKgf7ImRZbmSJEmN0V3CpEF3mVE/dPebCePpPWQGybJ8WZKku7Isv5cpbyVgnSzLzvrf6+vzKoB0YJD+tdfJsuxsvG39+ndlWX5PkqSV+nV+MXrtjGWVgKX6v8kC8JZl+YRxnkz/P4PuHj82+rIqhu6yrBGyLD/3o9CmZVsVjYqgl65VF3aEbKmUloUdIYu0Inj95r6zywo7QhYu9v0LO0IWqZrc34y0oOw692thRzDR0SFvX3H9Kj1KTyrsCFmYKYreBFprs6LXbkLRfP8pjW+UU0QUxToFsCM6fwYL80uvBkX368nXnvqxsCOY6OLY+cUrCaRqi14bVVyZu/vcFJRETdG7+a6lwqywI2Rrf9zuonegySfJ3wQW2Pmsdb8ZBVqORWbQRihcYtAmZ8SgTc6IQZucKYonjRnEoM2LiUGbnBGDNjknBm1yTgza5JwYtHk9iUGbnBODNjknBm3yR0EP2hTZy6MEQRAEQRAEQRAEQRBeqBDuNVNQiubHJ4IgCIIgCIIgCIIgCP/jxEwbQRAEQRAEQRAEQRBeX2KmjSAIgiAIgiAIgiAIglCQxKCNIAiCIAiCIAiCIAhCESQujxIEQRAEQRAEQRAE4fVVBL9RN7+IQRsBgPj05MKOYMJSWTSr5pMi+BWxGorUt7UDRfPrtQ9FryzsCFl86OBe2BFeG2qK3oG4KH6V9TvmdoUdIYui+LW1AFpl0dt/KVp1YUfIIkWTVtgRXgt/pT4s7AivDXURPLFKL4LvPSulRWFHyCJJWzTbg2JF8LyhKLbnwuur6NVwQRAEQRAEQRAEQRCEHNJqit4H2flF3NNGEARBEARBEARBEAShCBIzbQRBEARBEARBEARBeH2Jr/wWBEEQBEEQBEEQBEEQCpKYaSMIgiAIgiAIgiAIwuurCN7kPL+ImTaCIAiCIAiCIAiCIAhFkJhpIwiCIAiCIAiCIAjC6+sN/vYoMWgjvFDLj5vh6T+QdLWaTWu3s+G7LSbLy1cqx7S5E9BqtVyNuc7UwFlotVp8gobi3KIxWq2WiKkLOH7oFNY2xZgQGkDZCmWwsLRg+tgwzp++mKdcLdp+wGD//qjT1WxZ9xObVm/LlKsswZHjQJ9rRlA4Wq3WsGz2iul83rofAMVL2rHp4FquxdwAYO+O/axdtv6FGRQKBaND/KheuyppqWlMHzWL27FxhuWde3egyxedUKer+TpyFQd3HaZEqRJMmT8eq2JW3P/7Pl/5hZKSnELPwd1p27k1AIf2HGV5+Deo7FRMXTgRa5U1aalpTBo+jQf3HrwwV7O2Lrj79UOdrmbrup/Zsma7yfJylcoyMSIQtHAt5gYzx85Bq9Xi7t+PD9o0Ra1WEz4xiotnYgzP+cT1I3oM6MqgTl4ANG3VBHf/figUCmKiLzNz7JznZmquz5Sermbbup/ZnE2mSRFBaLXaTJn600yfKWxiFBfPXKJGnWoEzhiJWq3m5vVbTB05E61Wi0urJrj799dnkgl9Qaa8ir4QQ/jCFaycN/OVvD7o6taokBFUq12V1JQ0ZoyeTVzsHcPyjr070KXvZ6jValZGfsehXUcMy3q4d6PUO6VYFLIUgI86t6aHezfUajXXY64zOyjS8F54neVnnZLq1SBoxkhSU1O5fOEqYRPm4tyyMf2G9wF0+8PBqR49W/Un9uqfOcqXn23UqCk+1KhTHYC3S5ci4VEC/T4bkqvyUigUeE8bRuXaVUhLTSMiIII7sX8Zln/aqx3t+36KOl3D2rlrObr7mGFZPed6jIkcTd8mXwJQw6EGQyYOBhT8d+8/QkfMJC0lLVd5ssvnO92Hqvp8s0aHc8eoznfo/Skd++jq/KrI1RzZfZRSpUsxbm4g5hbmxD+MZ5rPDJITk18qR0YWv+k+VNW37bNGh5m8/zr0bk+nPh1QqzWsivyOw7uPUrpMacaEjcLM3AwUEBYwh1vXb9PdvRsden3KowePAAgbo3s8pzlGh/hSrXZV0lLSCBk9i9tGOTr17kCXvh317cAqDu46Qom3ijPZcIz5l6l+oaQ8ScG5lROD/PuhQEHMucvMHhtheJ2KVcuzbPsCOjh2JTWX+zE/63kx62KMDR1F2QrvY25hwcxxc7hw5lKu8hRlH37cDE//Qfr+1DZ+zNSfqlCpHNPmTkSr1XIl5pqhPwVQzNqK1duXMWfqfA7sfdref+HRk/8rXYo5UxcU6N+Sn/KzLwVQslQJlmyZR9+PBpGakkox62JMWTAeuxJ2pKelM2VECPfu3s91zuZtXXDX1/Wt635mc6a6Xq5SWYIjxxqOOaFGdb1cpbLMXjGNnq37G9avU782PuOHMqSbTx5K7an87C/kdfsF0U61bNeM1p99yKThU3OdL7/a89adW9HdvSvqdDU3Ym4wZ+zcHPen8rOcfCcPx8GpHkkJSQAEDBxPYnwiAPWdHZgUNZYujT/PVTkJRZu4POolSJL0oSRJ/0iStM/oZ32mdYZKkhScT9trIUmSvf7/G/PjNV/E3NyMMVNG4PH5CPp38cStb2fefqeUyToBU0YQNWMx/ToPRaGA1u1aULNuDewb1qH3p4MYPWQCgVP9ABjg1ZcrMdfp13kowSNDqFy1Qp5zjZzsjVdPf9y7Dqdr306U+r+3TNbxD/ZmwYylDOoyDIVCwYftmgPQofsnhCyazFtvlzSsW7OexK+bduHRzRuPbt45GrAB3QHEysqSwZ2GMX/6EnwmeRqWlXqnFG6DuuHReTgjeo/GM2gwFpYWDPL7kt827Waoqw/y+au49u1ImQrv80nXtgzuNJxBn3nRpGUjqtWqQoce7bgWc52hrj7s2rKHvp4vboDNzM3wCx6Gd6+RDOnmg2vfjlnKxjd4GItCl+Ph6o1CAS0/aYZUrzoNnB0Z0GEo4zwnEzDdz7B+jbrV6dSzPSh0v9uorPGZMBT/fkEM/MyTv27fpWSpEi/INJzhz8nkFzychaHL9JkU+kw1aODsSP8OQxjrGcyY6b4AuPv3Z9mcbxjcZTiWlpY0+6ipPpMnfv0CGfDZUO68IFNerVi9nkkzIklNSc331zbWol0zLK0sGdLJm0UhS/GeaFy33sJtoCtDu/jg13sMQwPdsbC0wLKYJZOixtK1f2fDupbFLPEIGIi3mz+eXXxQ2dnywUdNX2n2gpDfdWrszFGET4rCw9WbhMeJtHP9iMP7jjG0+wiGdh/BH7sO8e38NTkesMnvNmr2xLl4dPPG63NfEh4n8tWo0FyXmcsnTbEoZolfF39WhHyNx4TBhmVvvfMWnQd2wt91FGP7jmNAYH8sLC0AeOf9/6PbYFdd51XPN9SHsJHhjOw2ihP7TvBu2dK5zpNZs3YfYGllyfDOI1gSshyvCU8Hpd565y26DnTF29WXgD6BDA4ahIWlBb28PufX9b8xops/Vy5cpUOvT186h3GWYZ19WBKyDM8JQw3LSr3zFt0GujLc1ZfRfQIZHKR7/w0c3Z9NKzfj6zaS1VFrGRw0CADJvjohvqH4uo3E121kjgds4Gk74NFpOAtCluA90cskR4+BXRnSxRvf3gF4BuqOMQP9+vHb5t14dh3B5fNXcP2iIzYqa4aPH8qoL4Nw7+jFX7eeto82tjZ4T/IiNTX3g275Xc/7efXmWsx1BnUZxtRRoVSqlrc+QlGk60/5MvhzH/p3GYpb3y7Z9qfmzljEl52HoFAoaN2uhWHZ+JAAk5NDq2JWhC6YTK8B3Qvsb3hV8qsvBdCkZWMi183m7dJPy7Zzn8+Iib6MZ9cR/LJhJ329euY6o5m5Gf6TvRne0x+Prt7ZHnP8g4ezcMZSBncZrutbtWsGQPvunzB9UTAljer6l169mRAWgKWVZa6zZJZf/YWX3f6rbKd8Jw/HM2gwCqUi1/nyqz23LGbJoNED8HMbhberLyo7FU0/ci7wcgKoaV8D396jGebmxzA3P8OATeky79DTww1z8//ReRkaTcH9FDAxaPPy9siy/KHRj9sr3NZAoAyALMtdX+F2DKrUqMzNG7d5/Cie9LR0Th07S0NnR5N1attLHD90CoA/9hzGuUVjYs5fZsjnvgCUKfcejx/FA+DSqglpaWksXhfBEL8BHNx3NE+5KlevxK3YOOL1uc4ci6ZBply17CVOHj4NwME9R2jSvBEAjx/G4+46PMu6tewllm6MInTJV/xf6bdzlMPBqR6H9+k+jb5w6iI17SXDsjr1axJ9/DxpqWkkxidyOzaOarWq6J6zV/ecw3uO0rh5Q/6+8w++fQLQ6BsBM3NzUlJSuRZzHRuVDQAqOxXp6eoclE1FbsfGEf8ogfS0dM4ei6a+s4PJOjXr1eDU4TMAHNp7lMYtGuLgZM+R/ccB+DvuH8zMzShZqgQl3iqOV+BgwifNMzzfvlFdrsbcwHeiF0s2RfHg3gMe6j9FzkmmM8fOvTCTU4tGODrV42g2mS6fv0KJknaA7oQjPS1dn+k6vhOH6TP999xMeVW+zPtETB+f76+bmb1TXY7s1f3tF05dMqlbtR1rce6Ecd26Q9VaVbCysmTH+t/4du5qw7ppKWkM6exNyhPdJ5Bm5mavfMCpIOR3nXr3/XeIPnEegOjj53Bwsje8Tun336F9t09YGr4yF/nyt43K8Pmg7hz5/RhXY67nOEuGOk51OLHvJAAxp2Oobl/dsExyrMHF4xdJS00jKT6JO7F/UblWZSysLPAO8SZq3HzDuuWqlOXxf/G4ursya/1M7Eracft6XJbt5Va9xnU4tk+3by6dukQNhxqGZbUca3L++AV9nU8iLjaOKrUqMz94ITs37kahUFC6zDskPE586Ry6LHUNWS6euoRklKWmY03OG7XtuixVWDhlEYd3645pZmZmhhkrNepVp8/wXkRtjKD3sF65yuHgVI8jezOOMZeoZf80R23HWkSfyO4YU9fwnMN7j9GoeUPqNarLtZjr+EzyYuHGSP67/7R9DJw5kkUzlhlmKeRGftfzph86kZaWxvy1Ybj79efQ3rz1EYoi4/5U2jP7UzVN+lNNWzgB0N+zD2dORCNfuGJY18rKki3f/8ySiK8L7G94VfKrLwWg1Wrw/nwkjx/GG17j+2U/sjLyOwDeLVua+McJuc74tK5n9K2yOebYS5zMOObsOYqTUV33cPU2Wff2n3GMHpQ/fYn86i/kVUG0U+dOXmBmUN5mT+dXe56WksbwLj557k/lVzkpFArKVy5L4MyRLN4cxWef6z6ssLSyIGCGv8nsJOHN8T86DPdqSZLUDIgE/gPSgSOSJFUC1smy7Kxf5wjQE0gEvgFKopvH8CWQDCwEigHvA+OBW0A7oIEkSReBY7IsvydJUn0gClADT4DB6Abj1uqfU1W/7tNh91xQ2apIiH/aCU5MSMKuuK3JOgqFItvlarUan6Ch9HF3Y/rYcADeKlWSEiXsGNLTl05unzJqkjdjvafkPpedigSjg25iQhK2xVXPzJVktPyPXYeyvF7s1T9ZGC1z7I8TfNq1LQHTfAkYPCFHORKNcmg0GszMzFCr1ahsVSTGP12my2CLjdHjGY+p09WGqfPeEz25fP4Kt67fxqqYFU4tG7F230qKlyzO0EwH/WeWjfE+S0x+cdnYqbC1teHRf49NHi/+VnG8xw0hIni+4SAFUKJUCRq5ONK3rTtJicks2RzFuZMXuPmMT5AzZ0pKzMH+slOhslXx6L+nAy+JCcnYFrfl5o3bBEzzY6DvlyQ8TuTk4TO0bt+SRi716dN2EEmJySzdHMW5k+efmSmv2rZqRtxff+fra2ZHZWtj+OQEQK1RY2amRK3WYGNnY3JymlGe8Y8SOLb/BO17fGJYptVq+e/+fwB0H+CKtU0xju0/8crzv2r5Xafibv5FA2cHTh05S/O2LljbFDOs09ujB2uX/kBaLmYi5HcbBWBuYU63vp35sv3gbJe/iI2tDYlG9Uaj1qA0U6JRa3TL4pMMy5ITklDZ2TDsKy82LN7Av3f/NSwrXqoEtRvVYv6EBdyJvcOUlZO5HH2Fs4fO5imXIZ+dyqTOm+SzM30/JCcko7LTlZfSTMmy3xZjaWXJt3O+e6kMGVR2Nib1S6PWGN5/mZclJSRja6cytJ/lq5TDc4IH4wdNAmDP1n1sXrmFxIQkvlo2maYxTQwnAy/MYWu6LbUmUw6TdkDX1uuOPYn6bLp6X6JUCRq61OfLj91JTkxm0aa5nDt5gY+7tOHQ7iNcvXgtj+WUv/W8ZKkSFC9hx7BeI+ng1g6/ScOZ6JO7SyGKKltbFfHxpmX1vP5UUkIitsVVNGneiIpVyjN59AzqN346mPz4UTyHfj9Kl887vPrwr1h+9aUAju0/me02NBoN834Ip2qtKvj0HJWHjDbZ1PXn94czlh/Ipq7v+el33i/3Xq5zZJstn/oLL7P9V9lO3bp+m91b91K/qUOWbecoXz6157r+1EMAXAd0wVplzYln1LdXWU7WNsVY//Um1i5ej5mZknnr53ApWqbHwK6sWfR9ni79e2MUwgyYgiIGbV5ea0mS9hn9/hO6gZdusixfliRp4QuePx7YKsvyIkmSXAAn4G8gTJblffrHJsuy3FaSpF/QDfzclCTDKPpSwF2W5TOSJHUGwoFRQA3gYyAJuC5J0nuyLN/N6R/lHTiEBk4O1KhdlehTT+85o7K1McyayaAxuulT5uVzQxaxbO63rPl5GaeOnOHhf4/Y++sfAOz77QCDvL/MaSQAvMYMxtHJnuq1qprcC0dla0P8I9NPTjRGb1ybbJYbO37gJE/0nzLu3bGfoaPdc5QnMT4RG1sbw+9KhRK1WjcbJjEh0TBLxjhDkv7xlCepJrksrSwZFx5AUkISs4IiAHD378d3C9ax+bttVKtVhZClU+j70aBsswwNGISDUz2q1arKhdNP7wGgUlm/uGweJ5CQkGTyt9jY2mBrp6J85XKMmeGHpZUllWtUwm/ycA7vPcbFszL/6u+vc/rIWWrUqZ5lgGRogDuOhkxP95eNKgf763GCrgyNMqlsrYl/nMDIKT54uA7n+uVY3Pq74jtpGH/8dpCLZ2OMMkVnm+l1kZiQhI2tteF3pVJ3YAdIis+0r1Q2JDynfisUCrzGD6FClXKMGxz8yjIXhFdVp6b4hTByig/ufv05fSzacKmIQqGg2UcuLAzN2fX+r6qNAmjSvBGnjp4x6fTlRlKmOqVQ6gZEMpZZGy2ztrUhLS2duk51KVOpDH38+mBX0o6g+YF8F/4dd2LvcOvqLQBO7DtBDfvqLz1okxSfiI3KuM4rnuaLTzJZZm1rbejgqtPVDGjtToNm9QmKHINv95EvlQMgMT7JpP1WKhWG91/mZTa21oaTOUcXB/ym+TB9RKjhMqgfl200dLqP7D5KtbrVcjxok5iQhMr4GGPUDiRmaQd0bX1ipmNMwuMEHv/3iEtnY3hwTzeAq2sfq9Gua1v++eseHXu2p9Q7pYhYMwuvbr4vzPWq6vmj/x7z+28HAdj/20EG6O8p9TrzCRxCfScHpNrViD51wfB49mX1tD9lY6s7se7WuxNlyr3H1xsXUKV6JWrZS9z/519ijGbdvO7ysy/1PMN7+FOxWgXCvg2hu0vO6pbnGHccneyplk1dz3zcNa7ruuWm/eVXJT/7C3nd/qtsp3JzSWm2+fKxPVcoFAwdN5hyVcoxcfDk3OXIp3J6kpzCD8s2GD5MPXnwNFLd6jg0qUe5SmUZ5NeP4iXtmLJgAhO9vspVRqHoEpdHvbzMl0fNAt6VZfmyfvnBZzwvYzheAg4DyLJ8SJbl1cBfwBBJklYBQwGL52y/jCzLZ/T/3w/U0f//qizL8bIsq/WvVyy7Jz9L1IzFDOjqRcu67alQuRzFSxbH3MKchs71Oau/hCBDzPnLNHZpAEDz1k05dfQsTs0aMi5E90lGakoK6enpaLQaTh89S/M2LgA0bOrIVTl3U/wXhC7Fo5s3be07Ur5SWYqXtMPcwpwGzo5EnzTNJZ+/QsOm9QH4oLUzp48++4RiYlggbTp8CIBTs0ZcipZzlCf6+HlcWuuuZ63ToDbXjC5ZuHA6Bocm9lhaWaKyU1GpekWuyzd0z2mje07T1k04eywagJlfT+XqxWuEjgk3HPgfP4o3nKA9uP/Q8MlydhbNXI5nd1/aOXShnFHZODo7cO7kBZN1L1+4SoOmjoDukrUzR6OJPnYO55aNUSgUvFu2NEqFgotnYujZqj+e3X0Z7zmFG5djmTNpHvK5y1SVKlOiVAnMzMyo26A21y/HZpNpGUO7j+ATh86Uq1TOkKl+tpmuZMl09tg5mrZ0MmRSKJQ8evCIxw8fk6i/+dq9u/exK2FLzLnLVJGqmGS6kU2m18W54+dp2roJAHUa1OLapad16+KZSzg41cPSykJftypwXb7xzNcKCPXHysqSwIETTGZMvY5eVZ36oE1TJgz/Cq/P/SjxVnGO6mcjVa1ZmT+v3STlSc6mQL+qNgqgSYtGHNpz5LnrPM/F4xdp3LoxADXr1yQ25mmdkc9cpq5THSysLLCxs6FCtfLIZ2TcPxxMQI8xBPQYQ/zDeEKGzeCvm3extrGmTKX3AajrVJc/L+fsXj/Pc/7EBZro63ytBrW4bpTv0pkY6jWph4WVBSo7GypWq8AN+Qa+07xxdNF9+pqcmGxy0vSyWZxb6y5NqZ0pS8yZGOybPH3/ZWRxdHHAe/IwAvoGIUfrugAqOxVf715qmLnV4ANHLp/L+cl29AvaAUeTduDpMaZpG91zmrZy4szRaORzV6giVabEW8UxM1Ma2ke3Zn0N90R4cO8Bvr1H5yjXq6rnp49F84H++NjA2YFrcmyOy6qomqvvT7Wo+ykVKpenRMniWOj7U2dOnDNZN+a8bNKfOnn0DAGeE+nb0YMBXb04sOcw4VPmvVEDNpC/fansfDm8N+26tQV0MxgyBoNzYmHoMoZ08+Fj+04mdb2+s8Mz6rojAC6tm3D66LMz5af87C/kxatup15WfrXnACND/bAsZsn4QZNy3Z/Kr3IqX6UcizdHoVQqMTM3w8GpLpfOyvRs0c/Qnj9+GP+/OWCj1RbcTwETM21ejThJkmrJsnwJaIzuMqknQGlJkswAO6Cyft2Mdc5KktQC6ABUB5bKsrxDkqQBQH/9uhqyDrTdkSTJXpblaKAlkNGy5EttSk9XM3NSJEvWRaBQKtm0dhv/3L1HlRqV6D3QjamBs5g1KZLgsCAsLC24cSWW37btAeCTjm1YtW0JSjMla7/eQNzNv1gS+Q1Twsfy3U9LSU9Lz9OlURm5woPnMX9tOEqlki1rf+Le3ftUrlGJzwd0Y0ZQGOGT5zFhdgAWFhbcuPInu7bve+brzZ22iElzgnDr70pyUjJfjczZTT737fiDxi0asWTrPBQomOofSi8PN27HxvHHb4dYv3wDizbNRalUsHjGMlJTUvk6YhUTIoPo3KcDDx88YqLXVFq2a0Z9Z0csLS1p2krXOC8IWcKSmSsYO3s03fp1xtzcnJDRs16YSZ2uJmLyfOaumY1CqWDbup91ZVO9Im4DujJz7BwiJ89n7KzRurK5+id7tv+ORqPhzLFolm9bgFKpZOa4iGdu479/HzI/ZAlz1+jy7N6297mdAF2meUStmY1CqTTJ1GNAV0LHziFi8nzGzQrA3MKc2Kt/snv7PjQaDaePRbNi20KUSgUzx+muZ546aibTFk5Cna4mLS2NaaNm6TMtJmrNbAB2bdvLtXzumBSk33ccoHGLhizaEoVCAdP8ZvK5R3fibtzhwM5DrF+xiQUbI1EolSwJXf7Mb3ypUbc6n/X6lLNHzzH3hzAA1i/fyP5fDhTkn5Pv8rtO3bpxmwU/zOFJcgonDp4yDI5UrFqBuD/vPC9KtvK7jcrIsn39L7nOkuHgL4do0Lw+czaFgUJB+Mhwug525U7sHY7sPMqWFVsJ2zAbpULBypnfPPPboNLT0gkfHUFg1BhQKLh44iLH9hzPc64Mf+w4SMPmDYnaHIFCoSDUfzZug7sRF3uHQzsPs3HFJuZumINSqWD5zK9JS0ljw4rN+M8YwZe+fdFqtESMjXrpHLosB2jUvAHzNkfqs8wyybJhxSbmbohAoVSwbObXpKakMTzYCwsLc4IixgBw89otwgMjWBq6gjk/hJGWmsbJg6c4uufYC7b+1O87/sCpRUOWbIkChYJpfqH09HDj9o04Duw8xA8rNrJw41yUSiWL9O3A15HfMTEikM69P+Phg0dMGjaVJ8lPWBiylAiTNjv2pcspv+v5irnfMjEskJXbFpGens4E7zfj0ijI6E9FsGRdpEl/qmqNyvQe2J2vAmcxc1Ikk8PGYmFpwXWj/tSbLr/6Us+yfd0OJkQG0alXB5RmSqb65/5G7up0NXOC5xG1NgylUslWo7reY0BXQoPCdcec2QFYWJgTe0V3zCkI+dVfyPv2i3Y7lV/t+bbvttO+Zzuij51jzg+6vuaPyzdy4JdnfT7/6srplw07WbptPur0dHb8+Ntr/SGlkDOKN+FrXwuLJEkfAj8Amb+zehIwG3gMxANnZFkOliRpMboBmmtAWaA3unvarEA3kKMFBgFN0F029S9wG3CQZbmOJElDgGHA58Beo3vaRKKbuZOuf76GbO6fI8vPbvnqvutcpCqCpbJojidaKopeLk3+jM/lK20RzHQoemVhR8jiQ4ecXYZXGDaf2fLilQpQe4eid98GtbboXTv9jrldYUfIIlWbXtgRslUU26kU7YtvNl/QUjT5e4KXX36N3lHYEUx8WPejwo7wTPvO7yrsCCY6OnQs7AhZpBfB956V8nkT7QtHUexzAlgpzF68UgEriu05wOG4vbn/Cq7XRFLEkAKroDa+iwu0HIveGehrRJblfcCzvue0cTbrD8luRSDz0es6uhsJZ37+YmCx/tf39I+dBlpkXhdwNnpezr+PThAEQRAEQRAEQRBeJ2/wjYjFPW0EQRAEQRAEQRAEQRCKIDHTRhAEQRAEQRAEQRCE15emaF6+lx/ETBtBEARBEARBEARBEIQiSMy0EQRBEARBEARBEATh9VUEvyAiv4iZNoIgCIIgCIIgCIIgCEWQmGkjCIIgCIIgCIIgCMLr6w2+p40YtBEAKGNZsrAjmLjx5F5hR8iWnbl1YUfIQqW0KuwIWTxWJxd2hCw+dHAv7AhZ7Du7rLAjPNPDInbcMyuCE0MVCkVhR8jin7THhR0hC1uzYoUdIVv3imBZvW1hV9gRsrBWWhZ2hNeCKKecs1SYFXaELIpipnj1k8KOkEWJItgPBrBSWBR2hCw02iLWkRJea2LQRhAEQRAEQRAEQRCE15ZWI+5pIwiCIAiCIAiCIAiCIBQgMdNGEARBEARBEARBEITX1xt8Txsx00YQBEEQBEEQBEEQBKEIEjNtBEEQBEEQBEEQBEF4fWnFPW0EQRAEQRAEQRAEQRCEAiRm2gjPpVAo8J42nCq1q5CWmsacgDncif3LsPzTXu3o0Lc96nQ1a+au5ejuY4Zl9ZzrERgZQJ8mXwDQ7NMP+HzY52i1WvZs2sPmFVteKlvrj5szbNRg1OlqflyzlR++22SyvELlcoRGTUar1XLl0jWCx8xAq9Wy8Nsw3nq7JOlp6Tx5koJ7Tx9q1a3BlFljSVerib32J2N9v0Kbh6/qa9H2Awb790edrmbLup/YtHqbyfLylcoSHDkOtFquxlxnRlC4YTvlK5Vl9orpfN66HwDFS9qx6eBarsXcAGDvjv2sXbY+V3kUCgX+ISOoVrsqaSmphI4OIy72jmF5x97t6dT3M9RqNd9GrubQriOGZW7uXSn1TikWh5h+LfXoUD8eP4zP8nhutGz7AR4jB6JOV7N57XY2rt5qsrx8pbJ8FTkerVbLVfk60wPD0Gq1+E0cRn0nB8zMzdiwagsbV2+leEk7th78nqvydQD2/LyfNct+yFUehULBKH05paakMWP07Ezl1IEu+nJaGfmdSTn1cO9GqXdKsShkKQAfdW5ND/duqNVqrsdcZ3ZQZJ7qUm5FX4ghfOEKVs6b+cq3VdiatW3KQL9+qNPVbF/3M1vW/GSyvFylskyICESr1XI95gazxkag1WoZ5N8PlzbOqNVqIibO4+KZmGeuO2KSF/ZO9dBqtMydsoDo4+d5t2xpxoePwczMDBQwPWA2N6/dyiafC+76fFvX/cyWNduz5JsYEQhauBZzg5lj56DVanH378cHbZqiVqsJnxjFxTMx1KhbnfBvQrh14zYAG77dwq6te+nQox3dvuyMmZmS3389yIqIb3Ndji3afoDHyAGG92F27dXkyHFotXBNvk6I/n3oO3EY9Z3sDe/DzM/Ljfxso1q2b06fYT3RamHnpt38uHxjnnMBtPq4OV4j3VGr09mwZhvrv9tssrxC5XKEzJ2kO8bEXGPKmJlotVrmfzPb5Bjj0WuE4TmBU/y4ce1Pvv8mZ9ny0jaVeKs4wfPHY1XMkvt//8s0v5mkPEmh5xA32nZpg1aj4duoNez/5QB2Je2YNHcsNnY2PP7vMTNGh/Hw34c5LqP8zNfHqydtu7QmMT6J1QvXmezrN0Xzti646/sIW9f9zOZM751ylcoSHDkWrVbLtZgbhBr1EcpVKsvsFdPo2bq/Yf069WvjM34oQ7r5FOSf8UpltAlV9W3CzExtwmeZ2oTDu45QukxpAsNHYWZmhkKhYNaYcG5du02bzq1wMxyPbxCex+NxUcwE+duGv1f2XYLnBGFmrsv71aiZ/HntZq7LyW+6j66cUtOYlamcOvRuT6c+HVCrNayK/I7Du49SukxpxoSNwsxcd1wNC5jDreu3adG+Ob29eqJFy65Nu9mwfNNztvziXN7ThlFZfy4TERCR5Vymfd9PUadrWJvNucyYyNH0bfIlAK26tKKbR1c0Gg2/ff8b21f9lGV7Oc1UFOvUa+8NvqfN/8SgjSRJHwI/ABeNHr4ny7Kb0TpDgfdkWQ7Oh+21AB7KshwtSdJGWZa75kPeNcBNoIIsy0ue8byVwDpZln8xeqwYECPLcqVc/RF6Lp+4YFnMEt8uftSsXxOPCR4ED5oMwFvvvEWXgZ0Z3sEHCysL5mwM49Qfp0lLTeOd9/+PboO76hphQKlUMihoIMM6ePMk8QlL9yxhz6a9PP7vcV5iYW5uztipI+na9guSk5JZ99MKdv/6O//ee2BYZ+wUf+ZMX8CxQyeZMiuIjz79kJ0/76VSlQp82szN5PWGj/JgXthSft91kLCFU2nVthl7fvsjl5nMGDnZm76fDiY5KZmvty7k918P8OD+f4Z1/IO9WTBjKScPn2Zs6Cg+bNecvTv206H7J/Ryd+Ott0sa1q1ZT+LXTbuYOT4iT2UE0LzdB1hZWeLZyZvaDWoxbOJQxg6cCECpd96i20BXBrf3wtLKkvmbIji+/yQKpYIxs0ZSq35Nfv/JtAw69f2MKrWqcObw2TxnMjc3Y9SUEfRuN4jkpGS+2baYfb/+YVJOoyb7MC90CScOnWZ86GhatWtO/OMEKlQqx5efeWBhacHG31ezc/teatWT+GXzTmaMm5PnTC3aNcPSypIhnbyp06AW3hM9CRw4AdCVk9tAVwa198TSypKFmyIN5RQ0axS16tdkn76cLItZ4hEwkC/aDCLlSQrB88fzwUdNObDzUJ6z5cSK1evZ9sserItZvdLtFAVm5maMCB7OwPZDSE56wpIt8/jjt0Mm9WdEsBeLQ5dz6vAZAmb40+KTD7gb9zf1nR0Y1MGTd8uWJmTpFAa2H5rtunE3/6Jeo7oM6uBJ+cpl+WrhRPq3G4LH6IGs/3oT+385QJOWjRkW5MEY9wlZ8vkFD6O/Pt+yLfP547eDJvl8g4exSL/NwBn+tPykGX/F3aWBsyMDOgzl3bKlCV36Ff3bD6GWfQ3WLPmBNYufDkSWrViGbl92xrP7CFJT0vAYNQAzczPU6eocl6O5uRkjp/jQt507yUnJrNy2KEt7NXKyD/NDl3Ly0GnGhY7mQ/37sHylsvT7bAgWlhb8+Pt37Nq+j/hH8XnZnfnWRimVSoaMdWfwp14kJyazat8Kdm7cxaM8H2PMCPzKD7eP+5GclMya7cvZ8+t+k2NM4GQ/IkMWcuzQKYJnBdLm05bs+nkfFauU57Pmn5u83ltvlyR03mQqVa3A8vmrcpwjL23TAL8v2bl5Nz//8Ct9h/Wiyxcd+en7HbgN6srnH3yBtU0xVv62lP2/HOBL7z5EHz/Ht1FraNS8AUMDBzFjdFiB5zv+x0naurbB4zMvABZtmcfJA6dJeZKS4yxFnZm5Gf6Tvfny08EkJz1h+dYF7M/SRxjOwhlLOXn4DEGhI2nZrhn7dvxB++6f0NO9OyWN+ghfevWmffePSU56Ugh/zavTvN0HWFpZ4vWMNqF7pjbhxP6TuAcMYOPXWzjw60Eat2zEkEB3pnhPxz1gIP3buJPyJIWJ88fh8pEzB3cefiMy5Xcb7jVmMOtWbGDfL3/Q9EMnvMcOZdSgsbnK1ExfTsM6+1C7QS08Jwxl/CDT9nyIvpyiNkVw4o9TDBzdn00rN3Pg10M0btmIwUGDCB7yFR5BgxjSfhjJicms3LucXRt357k9d/mkKRbFLPHr4q8/lxlM8KApgO5cpvPATnh3GIGFlQXhG2dnOpdxNZzLAAwe786Qj4aQnPiEpXsWs2/r7yQ8Ssh1pqJYp4Si7X/p8qg9six/aPTj9uKn5NlAoAxAbgdsjGTOu0SW5V+eNWDzqtR1qsOJfScAiDkdQw376oZlkqPEheMXSUtNIyk+iTuxd6hcqzIWVhb4hPgQNW6eYV2NRsOgVoNJik+i+Ft2KM2UpKel5zlX1RqV+PPGLR4/iictLZ2TR8/QuGkDk3XqONTi2KGTAPy++xAuLZ14+51S2JWwY8nqCNZuX06rts0BuHROpkTJ4gCobG1IS899tsrVK3ErNo74R/Gkp6Vz5lg0DZwdTdapZS9x8vBpAA7uOUKT5o0AePwwHnfX4VnWrWUvsXRjFKFLvuL/Sr+d60z2TvU4uvc4ABdPXaKmvfT09R1rcu7EBdJS00iMTyQu9g5Va1XB0sqSX9b/xqq5a0xeq26j2tSuX5Ot35nOGsitytUrcevGbUM5nT56loZNHU3WqW1fkxOHdOV0YM8RmrRozNkT55noNx0ArVaLmb4O1XaoSS37mizfNJ9ZS6fmsZzqckRfThcylVNtx1qcO3HeUE639eVkZWXJjvW/8e3c1YZ101LSGNLZ23CiYWZuRmpKaq7z5Fb5Mu8TMX38K99OUVC5ekVux8YR/yiB9LR0zh47h6Ozvck6Ur0anDp8BoDDe4/SuEVDHJzqcXS/ri37O+4fzMzNKFmqRLbr3rt7nyfJT7C0ssTGVkV6mm4wZO6UhRzcpesIPWvfZs0XTX1nB5N1ahpt85Ahnz1H9h/Pkq9mPYlmbZqyeONcxocFYKOyxql5Qy5Fy0yKGMvijXM5e/x8rgZsdDkzvw+jaZDpfVjLXuLkoYz26jBNWjQi+sR5gv1CANP3YV7lVxul0Wj4ouUAEuMTKf5WcZRKJWkvkatKjcrcvHHb5BjTyLm+yTp1HGpy7NApAPbvPkTTFrpjTPESdiz6LpzV25byYdtmANiobJg3awlb1/+cqxx5aZvsnepxZK/uk+Ije4/SqHkDkpOe8Pftv7G2KUYxm2JoNLrr/itXr8jhPbp1o4+fx96pXqHkq1S9AqcPnSE1JY3UlDRu37hNtdpVcpWlqHvaR3jadmVpG+wlTma0DXuO4mTUR/Bw9TZZ9/afcYwe9Oa1+/UytQnSc9qEjDo1f/JCDu/WzcwyMzcjJSWVtJQ0vDr75MvxuChmyu82PDw4igO7Dhnlyv2Aab3GdTm2z6icHGoYltV0rMn54+eN2vM4qtSqwsIpizi8+6huu2ZmpKakodFo6PfhQEN7bmb2cu15Hac6nNinOx+IOR1DdZNzmRpcNDmX+ctwLuMd4k3UuPkmr3Uj5gY2diosrSxBocjzjJaiWKeEou1/YqbNs0iS1AyIBP4D0oEjkiRVQjdbxVm/zhGgJ5AIfAOUBBTAl0AysBAoBrwPjAduAe2ABpIkXQSOybL8niRJ9YEoQA08AQajGzRbq39OVf26ns/J2x+oKctyoCRJ3kBvQKvPO9doPVtgNfAWcPVlysjG1obEx4mG3zVqDUozJRq1BpWtDYnxT5clJSSjslMx/Kth/Lj4R/69+6/Ja2nUGj5o9wHDpw7j2J5jPHmJT4ds7WyJf/x0ZDsxIQm74rYm6ygUCtPldrZYWFiwYsF3fLNkLSXeKs73P63g7OnzxF6/yaTQMXj5u5PwOIGjB0/mOpPKTkVCpky2xVXPzJRktPyPXVlnYsRe/ZOF0TLH/jjBp13bEjDNl4DBE7Ks99xMtjYkGO0jjUaNmZkStVqDyk5lsm+TEpNQFVeR8CiB4/tP8mmPTwzL3i5digF+XzJ20CRad/owVxkys7VTkRD/tJySEpOwtTPddzwtJpL0+y41JZXUlFTMzc2YOncCP67aQnJSMjeu/MnFszEc/eME7bt+TOB0f0a5j8tVpsx1WW1UTjZ2NiRkKifb4iriHyVwbP8J2huVk1ar5T/9p1zdB7hibVOMY/qBglepbatmxP319yvfTlGgslORmLn+POe9n5Sgq18qWxWP/ntk+nhx22zXVaer0Wq1fL//W1R2KkJGzwbg0QPd8ytULY/PRE9GDcxaz1R2KpP3XGJi8ovbATsVtrY2Jp8iZuS7cOYSW9ZsJ+bcZQb49MV9ZH/iH8ZTv4kD7p28sCpmxdLN8+jfYahJ+/MimXMmJereZ8/KmagvG+P34Vdzx7Nx1VaSk5JzvN0sOfKpjQJQqzW0+LQZ/tN8OLz76EseY1Smx5jEHBxjiuuOMV8vXM23S9ZR4q3irNm+jOjTF4i7eYe4m3do0cYlVzny0jYZl2nGcRng7zv3+G7v15iZKVk1by0AVy5epdnHLly5cJXmH7tgZZ272Xr5le/apRt8Mbw3NiprzC0tqNuoDltWv9wHBEWNys4mmz7CC95z+uUHsukj7Pnpd94v994rSlt4MtcpjUmdyr5NyGg7y1ctx7AJQxg7aKLJ8bjrgC5Y21hzfH/u+3ZFNlM+t+EZ7XjFqhXwmzgc/wFBeciUqT1Xa4zac9NlSQnJ2NoZlVOVcnhO8GD8oEmArj1v/mkzfKd6c2TPy7XnzzuXsbG1ITE+ybAsOSEJlZ0Nw77yYsPiDVnOZf6UY5n/cxRPkp5wYMdBk9fNjaJYp94Imjf3RsT/S4M2rSVJ2mf0+0/oBl66ybJ8WZKkhS94/nhgqyzLiyRJcgGcgL+BMFmW9+kfmyzLcltJkn5BN5ByU5IMI6dLAXdZls9IktQZCAdGATWAj4Ek4LokSRlH4Mx522T8R5Kk2sDnQDP9QzslSfrVaN2hwHlZlsdJktQEaP2Cv+2ZkhKSsLa1NvyuUCrQqHVviMSEJGyMltnYWpOelkZdp7qUqVSGvn5gV9KOsfMDmT5sBgAHfznIoV8PMSp8JB91b8NvP+zMVR6/IE8aNnFEql2ds6fOGx5X2dpkmZ6vNXrjqmxtePw4nvv//Mvab35ErVbz4P5/XDwnU6VaRcZPG0Wvju5cla/TZ6AbQVP8mDwmNEeZvMYMxtHJnuq1qnL+9NMr2nSZTE+iNEaZbLJZbuz4gZM8SdaNnO/dsZ+ho91zlMdY5n2kUOoOCACJ8Ymm+09l88wpnh9+1pISpUowa9V0SpUuRTFrK25eu8WOH37Ndv3sDBvjQf0m9tSoVY1zpy+YbDc+08mm1uiaVBtbG+If6/atXQk7wpZN48ShU6yI0l1icOzASZ4k6w7me3b8jlfA4BxnypC5nJRG5ZQUn4SNrY1J3udNhVUoFHiNH0KFKuUYNzg411mE7A0JGISDUz2q1qrCxdOXDI/bqLK+j7LWnwQSExJN96P+8ezWbe/2Mf/+84ARvUZjY2vD4s1RnD91kXt/3aOBiyMBIX4Ee083uZ/NUH2+arWqcsEon0pl/eJ24HECCQlJ2ebbt+MPw4nevh1/MGrqCHZv38epw2dISkwmKTGZG1f/pEKVclw8E/PCcvQaM5j6TeypXqsa57O8D03bUE2mNjTjfWpXwo5Zy6Zy8tBpw/swr/Krjcqwf8cB/vjlIGMjAmjXvS0/56KNAhgROJSGTRypUbsa0aeelo9KlfUYk6V8HsVz/5/7rPtmg+EYc+mcTOWqFU0uWciNvLRNiQlJ2KhsSH2Sio2tNQmPE2jaqgn/924p3Jr2BiB89Uyij59nVdQafL/yZv6GCA7tPsI/d+4VSr4/r95kw9ebCVsdyt9x/3Dx9CXDIOnrznOMO45O9lTLpo+QuT5nrlMJebzs8HX2vDYhKT7RpE9q3CbUd3HEf7oPU31mcOua7h5gCoUCz/EelK9SjgkvcTwuSpleZRve6IMGBIWMZIL3V7m+nw1AYrzuvZ1BqVQYteemyzLe+wCOLg74TfNh+ohQbl2/bVjnjx0HOPDLQQLnBPBx97b8ksv2PENSNvsv41wm83mOta0NaWnphnOZPn59sCtpR9D8QNZFrcOptRNfuvTnSeITAuaOpnmHZvzx04FcZypKdUp4PfwvXx41C3hXluXL+uUHn/G8jGFqCTgMIMvyIVmWVwN/AUMkSVqFbqDE4jnbLyPL8hn9//cDdfT/vyrLcrwsy2r96xV7Rl7jue91gYrAbv3P20B1o+U1gGP6rEeBtOfkeq4Lxy/g1NoJgJr1axIbE2tYJp+RqetUFwsrC2zsbKhQrQIxZ2QGfejO6B4BjO4RQPzDeKYPm4GNrQ2z18/EwtICrVbLk+QnJidLOTUnZCF9uwyhae2PqVi5PCVKFsfCwpzGTRtw+ni0yboXz8k4uTQEoGUbF04cOY1LSyfmLtcNxtiorKlRsyrXLsfy8OFjwycA/9y9T4kSxXOcaUHoUjy6edPWviPlK5WleEk7zC3MaeDsSPTJ8ybryuev0LCpbor9B62dOX302feGmRgWSJsOHwLg1KwRl6LlHGfKcO74eZq2bgJA7Qa1uH7phmHZpTMx2DvVw9LKApWdiorVK3BDvpHt62xYsQn3Tz3xcRvJ6vnr2LlpT64GbADmhy7BvetwWtfrQPlK5Qzl1NDZkegT50zWjTl/mUYuunJq1tqZU0fPYlXMkqXr57J57XaWzFlpWDc4PJCPPvsQgCbNGnEx+sUnrpkZl1OdBrW4dum6YdnFM5dwMCqnStUrcP0Z5QQQEOqPlZUlgQMnvFH3Yyhsi2cux6u7L+0dXCln9D6r72zP+ZMXTNa9fOGKYZp401ZNOHs0mrPHztOkZWMUCgXvli2NUqHg0YNH2a77+GE8SYnJaDQakhKSSEtNxdqmGA1cHPGf4o1v7wBiMr0fF81cjmd3X9o5dDHJ5+jswLks+a4atunSqglnjkYTfewcztnkm7tmFrUdawLQuHlDYs5d5uzx8zRo6oillSXFrItRuXolbsfG5agcF4QuZXBXbz6q95nJ+7CBswNnT5i2VzHnL9PQJaO9aspp/ftw8fpItqz9iaVG78O8yq82ysbWhqgfw58eY5KeoMnDtPXIGYv40nUozep8QoXK5YyOMfU5namdunTuMk4uustyW7Rx4cSRMzRt0YSIZboPKWxU1lSvWZVrV57dXrxIXtqmc8fP49JG9xznVk04e/Qc8Y/iSUlONVx+lPA4Abvitjg427N1zU8M6+ZLXGwc546fzzbHq85XslQJbGxt8Oziw6zAOZR+vzTXjfobr7OFocsY0s2Hj+07mfQR6js7PKOP4AiAS+smnD4anc0rvtnOHz+P83PaBIds2oT6Lo74TB7GqD6ByNGXDeuPCvXD0sqSsQMnvtTxuChlelVteKMPGjD6qxEM7+3PxbO570cBnD9xAWf9OUPtBrW4HvO0nGLOxGDfxKicqunKydHFAe/JwwjoG2QoJxtbGyJ+DDNpz7UvMYPi4vGLNG7dGMg4l3maSz5zmbpOdYzOZcojn5Fx/3AwAT3GENBjDPEP4wkZNoPE+CRSnqSS+iQVjUbDw/sPsS1hl6dMRalOvVE02oL7KWD/SzNtshMnSVItWZYvAY3RXSb1BCgtSZIZYAdU1q+bsc5Z/Y2GO6AbKFkqy/IOSZIGAP3162rIOiB2R5Ike1mWo4GWQMa7LS97XQYuAJ/KsqyVJMkPiAa665dfBJoCW/SXZT1vMOm5Dv5yiAbNGzBnUzgKhYKwkWF0G9yVuNg7HNl5hM0rthC+IQylQsHXM1eSlpL9+FBSQhJ7Nu0l7MdZpKepuRFznd0b9+Q1Funp6YRMCGfFD/NQKpX8uGYLf9+9R7Ualek76HOCx8wgZOIcps0Zj4WFBdeu3OCXrbvRaDQ0b9WU9TtWotFoCJs2n/8ePGSc31dELJ2OOl1NWmoa4/yn5iGTmvDgecxfG45SqWTL2p+4d/c+lWtU4vMB3ZgRFEb45HlMmB2AhYUFN678ya7t+575enOnLWLSnCDc+ruSnJTMVyNzNvPH2P4dB2jUoiELtsxFoVAQ4jeTzz26c/tGHAd3HmbDik3M2xiBUqlkaegKUp+x//JTerqasElzWbguAqVCweZ12/nn7n2q1KhEz4HdmR44m7DgKCaGBerLKZad2/bS292NshXL0LVvJ7r27QTAJN9pRE5byOQ5Y+nRvyvJSU+Y7B+S60y/7zhA4xYNWbQlCoUCpunLKe7GHQ7sPMT6FZtYsDEShVLJktDlzyynGnWr81mvTzl79Bxzf9DdzHP98o3s/yX3n8II2VOnq4mcPJ+INbNQKhVsW7eDe3fvU6l6RdwGuDJrbASRkxcQNGsUFhYWxF79kz3bf0ej0XD22DmWbZuPQqlk9rhIgGzXBbBvXI8lW+dhplTy68Zd3Lx2i2mLJmFuacHESN208dhrN5kxJixLvojJ85m7ZjYKpYJt637WtQPVK+I2oCszx84hcvJ8xs4aravfRvnOHItm+bYFKJVKZo6LACA0KJxRU0eQnpbOv/ceEDJ6NokJSWxd+xNLt8xDoVCwIuJbHj/M3SfyuvdhFAvWzUGhULBlna69qlKjEp8P7EZIYBjhwfOYGDYGCwsLrl+JZde2vfRyd6NcxTJ07duRrn07AjDJdzp3bv71gi1mL7/aqKSEJH7btJt5G+aQnp7OtUvX+W3Drjxlyiif0IkRLPs+CqVSwYa12/jn7j2q1qhMn0E9mDImlNBJEXwVPg4LS3OuXY7l1226Y0yzVs6s+3kFWq2WOdMX8PAlZozkpW1aGfkd4yPG0LF3Bx49eETwsGk8SX5Co7MxLNk2H61WQ/Sx8xzbf4KylcowQV+f7929T8jIWYWWr2L1Ciz7aQFpaenMn7rYZJbAm0CdrmZO8Dyi1oahVCrZatRH6DGgK6FB4URMns+42QFYWJgTe+VPdj+nj/CmMm4TUCiY4TeTHh7didO3CT+u2ESUvk1Ypm8TvCd7YW5pztiIMQDcun6brau206HXp0QfPUfED7pLXH9cvpE/fnnWZ7SvV6b8bsNHT/HBwsKCKXN190mKvXqTaQG5aw/+2HGARs0bMG9zJAqFglD/WbgN7kZc7B0O6dvzuRsiUCgVLJv5NakpaQwP9sLCwpwgfTndvHaL8MAIdm3aQ+SGcNRpaq5dus7OjbtzXUYZdOcy9ZmzKQwUCsJHhtN1sCt3Yu9wZOdRtqzYStiG2SgVClbO/OaZ5zL/xP3Dz6t/JnzjbNJS0/nrz7/YuT53VwxkKIp1SijaFP8LXwn2jG9jApgEzAYeA/HAGVmWgyVJWoxugOYaUBbdvWMSgRXoBnK0wCCgCbrLpv4FbgMOsizXkSRpCDAM3SVMe43uaROJbuZOuv75GrK/f04lYKgsyz0z/R39eXpPm9FAF8AK3awab2A5sA7YB3yL7mbIMUBzWZYlnuPj8u2KVEW48SR3U7QLip259YtXKmAqZdH7xqDH6rzf4+JVsTUr9uKVCti+s3n/2vRX7aH2ncKOYKKjQ8fCjpCFJk9j7q9WmibvN2t8VYriew/gXlrevonkVXrbIm+f2v4v2nxmS2FHMPGpffvCjvBMO6JzdwPsV62bY5fCjvBaiFcXvW8GK1EE+8EAVoo8fz79yiRriuYNgffH7Va8eK3XU+KEHgXWMVN99UOBluP/xEwbWZb3AaWfsbhxNusPeca6mc8arqO7kXDm5y8GFut/fU//2GmgRTav6Wz0vIz/x6IbeMn8uiuN/j8LyDwE3t/o/z2y2ZYgCIIgCIIgCIIgCK+J/4lBG0EQBEEQBEEQBEEQ3lCFcK+ZgvK/dCNiQRAEQRAEQRAEQRCE14aYaSMIgiAIgiAIgiAIwmvrZb5lrKgTM20EQRAEQRAEQRAEQRCKIDHTRhAEQRAEQRAEQRCE15e4p40gCIIgCIIgCIIgCIJQkMRMG0EQBEEQBEEQBEEQXl9ipo0gCIIgCIIgCIIgCIJQkBRa7Zs7IiXk3L178aIiCIIgCIIgCIIgvKHeecdOUdgZXpWEUZ0L7HzWdvaWAi1HMdNGEARBEARBEARBEAShCBKDNoIgCIIgCIIgCIIgCEWQuBGxIAiCIAiCIAiCIAivL3EjYkEQBEEQBEEQBEEQBKEgiZk2giAIgiAIgiAIgiC8trRipo0gCIIgCIIgCIIgCIJQkN64mTaSJH0I/ABcNHr4nizLbnl8vVigpizLT14+XbavXwyYCjQBtEACMESW5Vv59PquwFFZlu/kx+sJgiAIgiAIgiAIQpHyBs+0eeMGbfT2yLLcs7BD5FAEECPL8igwDLL8ADTNp9cfAQwFxKCNIAiCIAiCIAiCILxG3tRBmywkSdoHnAXqopvN8gfwCVAS+BjoDHQB7ID/A6bIsrzB6PmVgBXoykwL+ADvAoMzZvFIknQQcAM+APwBNXBAluVASZJKAMuBt/Uv6QPI+u16ZmxHluVNkiTt179eW3SzcJ4A/wIDAUdgaMaglCRJd2VZfk+SpJVAClAJeB/or//XEfhWkqRmsiyn5rkABUEQBEEQBEEQBKEo0mgKO8Er86be06a1JEn7jH5G6x8/JstyG8AKSJJluS26y6ha6pergLboBnHCJUkyHtSaDUTKstwC3eyV5cBOoJ4kSW9JklQHuI9ugGUy0EaW5WZAWf3gy1hgtyzLrQAPYCG6AZy7siybzOWSZflfSZIUwBKgqyzLLYHfgfEv+Lv/lGX5EyAK8JBl+SfgDPClGLARBEEQBEEQBEEQhNfLmzrTJsvlUZIkdQBO6X99yNN73vwHFNP//3dZljXA35Ik/Qe8Y/QStYD9ALIsn5Ekqbwsy1pJkr4DegFV0A3kVNM/72dJkkA3c6cqUA/dYNLn+tcrhW6Qp6QkSQrjgRtJkvoAvwGPZVmO0z+8H5gObM/0tyqM/n9a/+8tdLN9BEEQBEEQBEEQBOHN9gbf0+ZNnWnzLC/akw0BJEl6FygO/GO07BLQXL/cEbirf/xrdJdEtQB+Bm6gGzRpK8vyh+hmvRwBYoA5+sd6AN/JspwG/Ap4Z2xEkiQ3dDN57gPFJUl6X7+oJXAZ3Uye9/XrVkQ3+PO8v0/D/95+FgRBEARBEARBEITX3ps606a1/h42xqxz8Lz3JEnaDZQAvGRZVutnywCMApZKkjQKsAAGAciyHCdJUjxwRJbldOCeJEnhwO+SJJkBsehuLDwNWC5Jkge6AaFg/ev6o7sU6xC6QZf/gG76WTyDgY2SJGn0j/dHN0vooSRJR9ENJN14wd90CN09bT6WZflBDspAEARBEARBEARBEF4fb/BMG4VW++b+cbkhSVJ/dF/tHZiH524HfGVZvprvwQrIvXvxoiIIgiAIgiAIgiC8od55x07x4rVeT/FD2xXY+azdol8KtBzf1Jk2BUKSJGvgALp76Ly2AzaCIAiCIAiCIAiC8Lp6kyejiEEbPVmWV+bhOcno74MjCIIgCIIgCIIgCIKQn8SgjSAIgiAIgiAIgiAIr683+J424luFBEEQBEEQBEEQBEEQiiAxaCMIgiAIgiAIgiAIglAEicujBEEQBEEQBEEQBEF4fb3Bl0eJQRsBgC6OnQs7gok0rbqwIwgvQUnR+zZBNZrCjpCFWRGe7Ljt7LbCjmCipOJeYUfIomm9foUdIQuloujVKbMimAmK5rdMKBRFr+0siuUERa+N6uDwWWFHeKafzm4v7AgmPrVvX9gRsjBXmBV2hCyKYr+lKJYTFM12qqge+w7G7SnsCEIeiEEbQRAEQRAEQRAEQRBeW1ox00YQBEEQBEEQBEEQBEF4HkmSlMACwAFIAdxlWb5qtPxTYBKgAE4Cw2RZfuaoU9GctyUIgiAIgiAIgiAIgpATGm3B/bxYF6CYLMtNgUAgLGOBJEl2wCzgM1mWmwCxwP8978XEoI0gCIIgCIIgCIIgCEL+aAb8AiDL8hGgkdEyF+AcECZJ0h/A37IsP/fmjeLyKEEQBEEQBEEQBEEQXl8FeO9uSZI8AA+jh5bIsrzE6PfiwCOj39WSJJnLspyOblZNK8ARSAD+kCTpsCzLl5+1PTFoIwiCIAiCIAiCIAiCkAP6AZolz1nlMWBn9LtSP2AD8C9wXJbluwCSJO1HN4AjBm0EQRAEQRAEQRAEQXjzFLFvjzoIdAR+kCTJGd3lUBlOAXUlSfo/4CHgDCx93ouJQRshC4VCwaiQEVSrXZXUlDRmjJ5NXOwdw/KOvTvQpe9nqNVqVkZ+x6FdRyjxVnGC54/Hqpgl9//+l2l+M0l5kkLPIW607dIGrUbDt1Fr2P/LAZRKJd6TPKnpIGFpacHy8G84tOtIjrI1a+uCu18/1Olqtq77mS1rtpssL1epLBMjAkEL12JuMHPsHLRaLe7+/figTVPUajXhE6O4eCbG8JxPXD+ix4CuDOrkRfU61fCfPNywrG6D2oweOJ4j+44VSKbqdaoxeuoI1Go1aalpBPtM58H9/2jaqgnu/v1QKBTERF9m5tg5BVZOlatXJGjWKBQKBbeu32baqFmo1Wr8p3jj4FSPpIQkAEYNGEdifOILcjVloD7X9nU/s2XNT1lyTYgIRKvVcj3mBrPGRqDVahnk3w+XNs6o1WoiJs4z2X8jgodx89otNq3aCoBSqWTqoklsXfPTc/dbhub6skpPV7Nt3c9szqasJkUEodVqM5VVf5rpyypsYhQXz1xCqleDoBkjSU1N5fKFq4RNmItzy8b0G94H0L23HJzq0bNVf2Kv/vnKyuZZ646Y5IW9Uz20Gi1zpywg+vh53i1bmvHhYzAzMwMFzAgI4+a1Wy8st9dV9IUYwheuYOW8ma98W83buuDu39/wPty8epvJ8nKVyhIcOdZQt0KDwtFqtYZls1dMo2fr/gC8Xfptvpo3AQtLcx7/95gJw78iKTE5x1kKok3o3r8Ln/X4FK1Wy+pF37Nr295n5lEoFIwO8aVa7aqkpaQRMnoWt42OM516d6BL347648wqDuqPM5Pnj8eqmBX3//6XqX6hpDxJwXfycJO2KGDgeGztVEyaOxYU8PhhPJOGTSXlScpzy0iXyY/qtauSlprG9FGzuB0bZ1jeuXcHunzRCXW6mq8jV3Fw12FKlCrBFEOm+3zlF0pKsm47JUuVYMmWefT9aBCpKakUsy7GlAXjsSthR3paOlNGhHDv7v0cZHr5cqpQtRy+wU+PbXUa1CZw0HiuXLxGcNQ4zC3Mefwwnsne03Jcr4pie14Uvep+C5Cn43FRlp9tZ4YGTR2ZEjWezxp1z1WW16We57Uvk7Fs1vJp9GrTP0/bzs/2POP1wr4N4Y/fDrJp1dN937JdM1p/9iGThk99To78acOzW/dZ/aVaDhIjgoehUCj4958HBHtPIzUlNdt8RfX8SnglNgFtJUk6hO4bogZIkuQPXJVleaskSUHAr/p1f5Bl+fzzXkzciDgbkiR9KEnSP5Ik7TP6Wf8SrxcrSVKx/MyY6fX3SZJUM1Pu3yVJOiRJUo/cvl6Lds2wtLJkSCdvFoUsxXuip2FZqXfewm2gK0O7+ODXewxDA92xsLRggN+X7Ny8G6+uvlw+f5UuX3TEtrgKt0FdGdJpOH69AxgxeRgA7bq3xdzCHM8uPowZOIFylcrmKJeZuRl+wcPw7jWSId18cO3bkVL/95bJOr7Bw1gUuhwPV28UCmj5STOketVp4OzIgA5DGec5mYDpfob1a9StTqee7XVvJeDKhat4dvfFs7svP67czN6f9z/3AJrfmUZO8WbW+Eg8u/uy9+f9fDmsNzYqa3wmDMW/XxADP/Pkr9t3KVmqRIFl8goazMKQpQzurOvwN2/rAkBN+xr49B5tKK8XdRDNzM0YETycEb1G4dltBJ2zyTUi2IvFocsZ6uoDCgUtPvkAqV516js7MKiDJxM8pzBqui+gOyGa810ozT92MTy/bMUyLNoUSS1H6blZTMtqOMOfU1Z+wcNZGLpMX1YKfVnVoIGzI/07DGGsZzBj9JnGzhxF+KQoPFy9SXicSDvXjzi87xhDu49gaPcR/LHrEN/OX5NlwCa/yya7davVrkq9RnUZ1MGTyT7T8P/KGwCP0QNZ//UmvLr78s3c1XgFDc5R2b2OVqxez6QZkdl2pvKbmbkZ/pO9Gd7TH4+u3tnWLf/g4SycsZTBXYbr3oftmgHQvvsnTF8UTMm3SxrW7Te8Nz+t38HgLsORz1+hS5+OucryqtuEEqVK0O3Lzgzq5MWwHn6MmOT13EwZxxmPTsNZELIE74lP1y/1zlv0GNiVIV288e0dgGfgYCwsLRjo14/fNu/Gs+sILp+/gusXujKoaV8D396jGebmxzA3PxLjE+np0Z1d2/bi1c2XG5dj6dir/QvLqWW7ZlhZWTK40zDmT1+CzyTjY18p3AZ1w6PzcEb0Ho1nkC7TIL8v+W3Tboa6+iCfv4prX12mJi0bE7luNm+XLmV4jc59PiMm+jKeXUfwy4ad9PXq+cJM+VVOVy5cM5TPhm82s+/n/RzZd5wvhvXi5/W/Gtbt1LvDCzNB0WzPi6KC6LdA7o/HRVl+t50A75YpTR+PHphb5O6z6telnue1LwPwabePmbZwEm+9/ex+5YvkZ3sOMGTMIOxK2plsw3fycDyDBqNQKniW/GrDn7Xus/pLQbNHM9UvlCFdvDmy7xjvlXv3ueVU1M6v3ihF6NujZFnWyLI8VJZlF1mWm8qyHCPLcrgsy1v1y9fJstxQ/xP6otcTgzbPtkeW5Q+NftwKO1AOZeRuCXwMjJEkyTE3L2DvVJcje48DcOHUJWraPz2Q1HasxbkT50lLTSMxPpHbsXeoWqsK9k71OLJXN7hxZO9RGjVvQHLSE/6+/TfWNsUoZlMMjUZ3dyinlo25d/c+s76dTuDMkRzceThHuSpXr8jt2DjiHyWQnpbO2WPR1Hd2MFmnZr0anDp8BoBDe4/SuEVDHJzsObJf9/f8HfcPZuZmlCxVghJvFccrcDDhk+Zl2VYx62IMHjWAsIlRBZppnOdkrly4CugOwikpqdg3qsvVmBv4TvRiyaYoHtx7wMMHj3iW/M40xn0ip49GY25hztulS5EQn4BCoaB85XKMnTmKpVvm0bHni0+IsuY6h6Ozvck6klGuw4Zc9Ti6/0SWXNYqa5aFreSXDTsNz7dWWTN95CxOHTzzwjzZZTpz7NwLy8qpRSMcnepxNJuyevf9d4g+oRsojz5+Dgenp39f6fffoX23T1gavvKVl0126967e58nyU+wtLLExlZFepoagLlTFnJwl+49mFHn3lTly7xPxPTxBbKtytUrcSvTPs1St+wlTmbUrT1HcWqu+2KBxw/j8XD1Nlk3fGIUP//4GwqFgnfLlCb+UUIusrz6NuHRg0f0beuOOl3N26VLkfLk+fXIweiYceHUJWrZ1zAsq+1Yi2iT40wc1WpVwcGpruE5h/ceo1Hzhvq2qCyBM0eyeHMUn33+KQBXLlzDroQtACpbG9Tp6byIg1M9Du/LyHTR5NhXp35Noo9nl6kehzMy7TlK4+YNAdBqNXh/PpLHD+MNr/H9sh9ZGfkdAO+WLU384xfvw/wqpwzFrIvhPrI/c/THtohJ8/llw85c16ui2J4XRQXRb8nL8bgoy++209LKkqDQUcwICs9Dltejnue1LwMQ/yieIV198rxtyN92qlWHFmg0GsOyDOdOXmBm0PNnmedXG/6sdbPrL1WoWp5HDx7R06M7CzZEULyk3TNnKxfV8yvh9SAuj8oFSZL2AWeBuujv9Ax8ApREN0DSGd13stuhuyv0FFmWNxg9vxKwAl25awEf4F1gcMagkCRJBwE34APAH1ADB2RZDpQkqQSwHHhb/5I+siwbXx9nQpblBEmSFgPdgTM5/TtVtjYmn9KoNWrMzJSo1Rps7GxIePx0WVJiErbFVahsbUjQPycpIRmVnQqAv+/c47u9X2NmpmTVvLUAlCxVnHKVyjL6y7E4OtszNjyAYd18X5zLTmXYBkBiYjK2xVUm6ygUT0fgkxKSsLVTYWtrw6P/Hps8Xvyt4niPG0JE8Pxsp8x36t2B3dv38eg5gyP5ncm2uK1hGme9RnVwG9CVIa7eNGnZmEYujvRt605SYjJLNkdx7uQFbl6/XSCZHj54xHtl32Xe9+Ekxidw5eI1rG2KsX7FRlYv+QEzpZKFP0Zw6WwMVy9df25ZJcY/PSHQ1R3bF+SyRWWr4tF/j0wf15fVX7fu0rR1E8OyqxevPXP7z8pkXFYZ9fn5mVRZMiUmJGNb3Ja4m3/RwNmBU0fO0rytC9Y2TyfY9fbowdqlP5CWmpZtjvwsm+zWVaer0Wq1fL//W1R2KkJGzwYw1PEKVcvjM9GTgIEFM6hRGNq2akbcX38XyLZUdjYkGJ2UJyY8f58aLz+w61C2r6k0U7J290osrSxZOmdlLrK8+jYBQK1W4zbAFY+RA/h+xQaex/iYAaDWaAzHGVWW40yy/jijMhybMjJa2xRj/debWLt4PWZmSuatn8OlaJl//rqHZ9BgPu7yEZaWFiwL/yZH5ZRotM80Gg1mZmao1Wr9to3eo/qysDF6PMloHx7bfzLbbWg0Gub9EE7VWlXw6TnqxZnyqZwydOzVnj3bfzfZr0ozJat2LsPSypIVc759YSYomu15UVQQ/Za8HI+LsvxuOwOm+bFq4doXXoqYfZbXo57ntS8DcGDXy5/Y51c7VUWqxMdd2jDWI5iBfl+abGP31r3Ub2o6EJUlRz614c9aN7v+UslSJajXqC5h4yK5FRtH2LchXDorc/Lg6WzLqSieX71RCvDbowqaGLR5ttb6QZoMGRexHpNleYQkSb8ASbIst5Uk6RugpX65CmgLvAMckyRpi9FrzAYiZVneop/9shxoDMyVJOktoAxwH3gCTAYaybKcJEnSKkmS2gIfAbtlWV4oSVJ14Gt03wH/PH8DDXLzhycmJGFja234XanUNSgASfFJ2NjaGJbZqGxIeJSge47KhtQnqdjYWpPwOIGmrZrwf++Wwq1pbwDCV88k+vh5Hv33mEP6g8SZI9GUr1LuuXmGBgzCwake1WpV5cLpS4bHVSrrLJ8KZow2A9jY2hD/OIGEhEyZbW2wtVNRvnI5xszww9LKkso1KuE3eThz9J9etXP9iECPiQWaKeNT1486tWKAzxf4fTGGhw8e8ei/x1w8K/PvvQcAnD5ylhp1qmcZtHmVme7G/U33Zn3o3LsDvpOG8ZV/KOuW/Wi4d8OJg6epXrtatp3EIfpcVWtV4aJRLhuVCz6K3QABAABJREFUTZZcxjcQy9h+YkLiM3Pl1dAAdxwNZXXxuZmyK6vMmVS21sQ/TmCKXwgjp/jg7tef08eiSdUP0CgUCpp95MLCUNN7jL2qsslu3fZuH/PvPw8Y0Ws0NrY2LN4cxflTF7n31z0auDgSEOJHsPf0N/p+NgXBc4w7jk72VKtVlfNGdUtlq2srjRnXLd3yeJ5Hna6mR8svcGrekMlzxzOkq/dz1y/INmGybwgA67/exKbvthH53UwautTn5KGsHVfQHWdURq9tfJxJzHKc0eVNTEjERmVDypNUbGx1J3ZPklP4YdkGw0nsyYOnqV67Kj0Hd2eqXyhHfz+OSxtnJkYGMerLoOeWV2K86ftJqVCiVqv1eXXbNimLRwkkZcqUk5kqw3v4U7FaBcK+DaG7S5/nZ8qncsrwietHjB0yyWQb6nQ1vVsNoHHzBkyMDMKru+8z8xTF9rwoKsh+S+TkBTk+Hhdlr6Lt/L9336Z+E3vKVy4LIwdQomRxpi8MZqxn8HOzvC71/GX7Mvklv9qpT7t/wjvvvcO8H8J5v/x7pKWl8detuxzZdzxnOfKpDX/WukCW/pJCoeB2bByxV28CcGTvMWo5SNkO2hS18yvh9SIuj3q2zJdHzdI/fkr/70Mgo4X8D8j4SP13/TVsf+sff8foNWsB+wFkWT4DlJdlWQt8B/QCBqAbyKmmf97P+oGj2kBVoB4wUP/YUqAUL1YRyH5KxjOcO37e8ClAnQa1uGZ04L945hIOTvWwtLJAZaeiUvUKXJdvcO74eVza6J7j3KoJZ4+eI/5RPCnJqaSmpJGakkbC4wTsitsSfew8zvrXr1a7Cn/H/fPcPItmLsezuy/tHLpQrlJZipe0w9zCHEdnB86dvGCy7uULV2nQ1BEAl1ZNOHM0muhj53Bu2Vg3/btsaZQKBRfPxNCzVX88u/sy3nMKNy7HGgZsVHYqLK0s+OfOvQLN9OjBI9p1bUuPAV3x7D6COzf/AkA+d5mqUmVKlCqBmZkZdRvU5vrl2ALLNHvldF2HB90BR6PVUqFKeZZumY9SqcTM3AwHp3rI57L/lrrFM5fj1d2X9g6uJrnqO9tzPkuuK4ZcTVs14ezRaM4eO0+TbHK9jEUzlzG0+wg+cehMuUrljDJlV1ZXspTV2WPnaNrSyZBJoVDy6MEjPmjTlAnDv8Lrcz9KvFXcMD26as3K/HntZpZLRl5V2WS37uOH8SQlJqPRaEhKSCLt/9k777CojrYP37uwoBRbXtNsWI8VO2LDqNEYOygWNFbECooVLFgRQVGKvSaxxt4S8xpbomJvWI8NjSUm+qpUBXbZ749dFxZQAVHWfHNfF5dyZs45P56ZeWbOnGfmJCWR3yoftRrUYOQ03Vrza5HyO9lVAIsClzOwkxct7dtTwqhMqxN5xniPOfnSDWq/qlvN6nHuRORrrzsuYCS1G9QEdJFd2pS3v076oD6hbAkCl08HQJ2sJikp2eghIT2Rb+lnahj1M6W4LUfpztH3M/WbOnD+hG5QumR7eBpfVBX54g1io+OI078pffLoCQUK2mQUkYmmBs0c9Zoqc+taqqbL565RvZ49FpYWGTQ1aK47p36zelw4+foy7DXMjVadWgC6t80pmreXYW7ZCXR9mypd3zZ65ghqNagB6OpVivbNmkzRn5siH3Lckp3+2JR5H77zyd//o1PjHgzs5MXATl5EP49564QNfDz1/F3HMrlFbvmpBf5LcG83hKGu3vy88Vc2LN2U5QmbVzpyw4e/Lm9m46UHdx9iZZ3fsH9MjXr23JbvZKrP1J6v/o1oU7Qf7OdDIyJtss/bSqk2gCRJnwEFgLQt5irQGNipj7R5pD++Ct3EjTXgAxQG7gEtZFlOliSpD7rlTRWANbIsr5Mk6VPA/U1CJEkqAAxAtzwqy/y+5wh1nWqzeEc4CgX4ewfR1aMzD6IecuS3CDat3MbCraEolEqWBq4gKTGZ70PXMDFkHO3c2hD9NJopQ/15+eIldS5cY+muBWi1KUSevMTJP05z7vgFRgeMYOmu+YCC2T5vXqP6Co1aQ8jUBYStm4NCqWDXhl94/OgJpcuXwrWvC0Hj5xE6dQHjZ49BpVIRdfMuB3b/TkpKCudPRrJi10KUSiVBE0LeeJ+SZUrw171Hb8zzPjQplUpGTffi74d/Gx5+zh6/wLI5q1gQsJSwdbp5w/27DnJbjvpgdvph/lr8QnxJTlLz8sVL/EcH8b9/nrJny15W7l6EWq3ml03/zXQiKb2u0KkLCFk3G6VSwa4Ne3j86Al25Uvh2teZ2eNDCJ26EN/Zo1GpVNxJo+vCyYss37UAhVLJnAmhWSqbrKCz1XzC181BoVQa2apLXxcCx88jZOoCJswei7nKnDs377J/9yFSUlI4dzKSlbsWoVQqCJqgq8P3ou6zcOM8Xr5I5PTRs0Qc0O3aX6psSR7cffhGHblpm8zyAtjXrcbSnfMxUyr579Z9/HnrHv6LJ2NuocIvVBeFcPfWnwSOy/7af4ExGrWGeVPmE74+GKVSyc71P+vqVgU7Xd3ynaurW3PGolKZc+eGrm69jg0rNjM+cDTakX1ISdFma3+GD+UTbly5yYpdC0Gr2zPh3PELr9X0+57DODjVZumOcFAo8PcOpJuHK/ejHnDktwg2rtzKoq1hKJVKFuv7mVWha/AL8aGDW1ueP41m8tAZvHzxkl+3/MayXQvQqNXs2byXqOt3CJ4Yxih/L8yUuq98zBn/dr9xaM9h6jrVYenO+ShQMGNkIN09XLl/5wGH90awacUWFm8LQ6lUsGTWcpISk1gVsppJob506NGG50+j8RuS+VdNAHZv2MOkUF/ad2+D0kzJjJFv3Xcw1+wEULJM8Qx926YVWxg7ayT9vHuhTdEy2zfkrZrANP25KfIhxi13bt7Ndn9syuS273xXLR9DPc/pWCa3yE0/9S7klg9/+eJlpnm9pw7LdLzkPyqIqQsmolAouHj6EhH7M/9ik6k+Xwk+DhSvPvcmSEWSpK+AjaRG0rwiP9BbluVrkiRtABbLsnxIkqQQ4Di6aJuBQAJQEJgoy/KvkiTdASoCn6OLkLEEVICnLMun9ffcCVyWZdlX/3tPYAhgBtxBF4WTH10kTiF0E0JT9J8MOwQM0l//lW4Nukm5UFmWt77tb25YrJlJVYRkrSavJQjeAWXaz1qYCBoTXOhqZsLBjrsu7Hp7pg9IIcXrI9/yivrVeue1hAwoFaZXp8xMUBOAKY5/0u47YSqYop3A9HxUm+pt81rCa/n5wu63Z/qAfGtvepslmyvM8lpCBkxx3GKKdgLT9FOm2vcdfXDA9DqaXOKZ61cfrCIU3nTog9pRRNpkgizLh4BP35KnW5r/jwDQR8T8LsuyT7q8dvr/3kG3301mKNFNyLw6Zw266Ju0JKDb6Di9lq/0/732Nt0CgUAgEAgEAoFAIBD8qzC9ec5cQ0za5DGSJOUHjqDbQ+dmXusRCAQCgUAgEAgEAoFAYBqISZtcRJbl73Nwzgv0++AIBAKBQCAQCAQCgUAgyB55sUHwh8I0F9sJBAKBQCAQCAQCgUAgEPw/R0TaCAQCgUAgEAgEAoFAIPh4+RfvaSMibQQCgUAgEAgEAoFAIBAITBARaSMQCAQCgUAgEAgEAoHgo0X7L460EZM2AgCeq+PzWoIRn5jb5LWETPmfOi6vJWTA1ix/XkvIQLQ6Ia8lZCC/mUVeS8iAQqHIawkfDfWr9c5rCRk4dvGHvJaQgTpVe+a1hAxYmVnmtYRM0ZhgHLU5ZnktIQP/JEXntYSPApXC9MrOVLFSml5/HK15kdcSMqDF9DZV1ShMz28CaLWmZ6t8JjjuFHy8iEkbgUAgEAgEAoFAIBAIBB8vpjmnmCuIPW0EAoFAIBAIBAKBQCAQCEwQEWkjEAgEAoFAIBAIBAKB4KPl37ynjYi0EQgEAoFAIBAIBAKBQCAwQUSkjUAgEAgEAoFAIBAIBIKPFxFpIxAIBAKBQCAQCAQCgUAg+JCISBvBW/mqZSMGj+yPWqNh2/pdbF6zwyi9pF1x/MP80Gq13Lh2ixk+s9FqtXj5DqK+U120Wpg3YwGnIs5SrOQXzAybjEKh4OH9v5gyOoCXLxKzpUehUDAyYDhlK5clOTGJoDHBPLjz0JDe1q017Xu2RaPR8GPoWo7tO25Ic3V3oUjRIiwJWA5AC+fmdB3oikaj4ZeffmXHj7vewVKmYSuFQsGYAG/KVy5LclIyM0fP5v6dB4b0Dm5t6PhdezRqDatCV3N03zEKFinItAUTscxnyZO/nzDdO5DEF4l06tORNl1aodVqWbf4J/bvOoS1rTVT50/AysYKlUpF6NQFXDpzJdt2GjLKHY1Gw9Z1O9mU3k6lizMzzA+tFm5eu8W0cUGGzznmy2/Jup9XMHf6fI4cTC3buvVrErhwGs1qtsuWllc4tWjIgJF90Kg17NjwM9vWGteFEnbFmBI6AbRabl67zSzfuQZNJeyKMWflTLo2032WevQ0LypUKQ/AJ58WIS46jt5tB2ZZS6MWDXD37o1GrWHnhl/YsW63UXpxu2L4hfiAFm5diyJo/Dy0Wi3uI3vTsHl9NBoNc/3CuXL+GhWqlmfuDwHci7oPwJYfd7Bv50HadGlFp14dMDNT8vt/j7Iy5Mcc2c1UaNyiAe768tu54Re2pyu/4nbFmBI6Hq1Wy61rUQSmKb/idsWYs9Kfbs36APDJp58wff4kVBbmxDyLYdKw6STEv7/PwUZevsbcRSv5fn7Qe7vHK5q0aIjHqH5o1Bq2r9/N1rU7jdJL2BVjeuhEtFotN+XbzPQJRqvV4u03lJoO1TEzN2PL6h1sXbuTMdOGI1XV1fP/FP2E2JhYvmvjkSUdOj81gnKVy5KcmEzAmNncT+PH27u1oWPPdmg0Gr4PXc3RfccpWLgAUw1+6n/M8A4k8WUinXp3pHWXb0CrZd2SjezfdYjvhnbH8SsHAGwK2vBJ0SK0rdnprboa69ueWq1h14Zf2J5J25sc4muoR6ltrw+N9G0v2C+cK+evIlWrgO+sUSQlJXH98k2CJ4UZ1bnZK/zp3rzPB7FTybLFGTFlmOG8KrUq49N/IlfOX+Onw6u5fS0KgN9/PcLGFVveaqe0NPvGCa/RHqjVGjat285Pq7cZpZcqXYLZ4VPRarVcv3YLv7EBaLVaOnVrR4++rpiZmfHbnkPMD17GpBmjqVRNAqDop58QEx1Lp1a9s6XHFFEoFIwOGE65ymVJSkxm1pg5RuOWdm5t6Kgft3wfuoaINOOWLu6dKFK0CIsDlgHwdYdmdHHvhEaj4fa128zxDTXJzx3nlNwc47Xs9DXdB3UlLjaeXzf+l5837Mmxrtz0nZ8X+wz/+X4oUBD9PAbfIZOzPRbOqK8RA0f1NejbkkFfcaaHTtSNYeTb+PvMQavV4ukzEEenumi1WkL8F3I64tw76QDTGk+l1eSRxj6ZaZoaOgGtFm7JtwnQl98Iv6HUdLA3lN+2tbv4vNhnTJnni5m5GQqFgumjg7h768+3asjNfu/V9YJ/DODw3qNsW53695QqW4LluxfSpoYLSYnJ2bbVx4zY00aQK0iSVEaSpM2SJB2XJOmAJEk/S5JU5R2uV1GSpEO5KDED5uZmjJs2ggFdvejTcRCuPTvySdEiRnnGThtO2KzF9OowEIVCQbNWTlSsWoHqtavS/dv+jB44Ed8ZIwEY7efFxh+30qvDQE5FnKX3ILdsa2rcqiEWlhYMae/JkoDlDPUbZEgrUrQwnfs5M7TjcEa7+TDQpz8qCxUW+SyYFO6Lc58ORtcaMmkg3t3GMLTjcLp6uGJT0CYHVtJhKrZq0qoRlpYWDGg/lAUzl+I1eXAa+xTBtX8nPDoMY7jbGAb7DkBloaK/dy/2btvPIGcv5Es3ce7ZjoJFCuLSqwMD2g/Fs8tIvCYPAaD7QFdOHT7LkE4jmO49izEzR2TbTj7TvXHv4kmvDgNx/c45g53GTR1BaMBivmvvAQoFzb9tYkibNGtshgHq519+Su9BbpircjYPbW5uxqipngzpNhJ3l2G49GxPkf8UNsozcoonC2cto3/HoSgUCr5q1RiANp2/IWDxVAp/UsiQd45fGB6dPBnSdQRxMfFMHx2YZS1m5mZ4TxmKZ/dRDOzkhXPPdhm0jJgylMWBK/Bw9kShgCbfNEKqVp5ajjXo22YQEwZPZexMbwAq2Vdg3dKNDO48gsGdR7Bv50GKlfqSTr06MLjzcPq0HoRKZY6ZuVmObGcKmJmbMXKqJ8O6jcTDxTNTm42cMoxFs5YxoOMwnc1aNQKgdedvmLl4CoXSlF/vYW78vGkPAzoOQ750g449cjYRmBVWrt3E5FmhJCUmvbd7vMLc3IzR04YzqOsI+jkPodN3HTLYafRUL+YHLqVvxyEoUNC0VWPqNqxFSbvi9GrrQZ/2g+g7rCe2BW2Z7ReKu8swBnUZTlxsHFNHzcqyFqdWjbCwtMCj/TAWBizF02+IIa1I0cJ06efCwI6ejHAby2AfnZ/q592bvdv3M9hlONcv3cD5u3YULFwA517t8egwDM+uo/D00/m71QvWM9TVm6Gu3jz+6zHThge8VZOu7Q1j2BvanveUYSwKXK5vewp926tALcca9GkzkPGDpzBO7xPHB41m7uRwPJw9iYuJp5Xz1wB826kl/osmU/iTgh/MTjcu3zLYY8sP2zn0yx8cP3QKqVp5ftu+35CW3Qkbc3NzJk4fRa/Og+nevj/de3XiP+n8+YTpowgOWEDXdv1RKBS0+PYrStoVp0dfV7p3GEDHFj1RqVSYm5szfeIc3DoMoFenwcTGxDHee3q29Jgqr8pxYHtPFgcsM9RT0JWjaz9nBnX0wtttHIN83A3jlsnh43FJM26xyGeBx9h+eLqOZHBHL6xtbWj4df28+JPeG7k1xitYuAD9x/TFy3UkXp28aeHSnM+Lf5YjTbntO3t6dOW/O/bTz3kIt+QonN3erY8xNzdjzLThDOw6gr6v0TdmqhfzA5fQp+NgQEFT/fjTvnZVerR2Z+ygSYyb7v1OOl5pMZXxlJGmaV4M7upNf+ehmdpn1FQvFgQuo7++/L5q1Zg6DWtRwq4YvdsOpG/7wfTRl9+QcQPYsHILA1w8WRH6I57jB73mzsbklj9/xcBx/bEtZGt0DysbKzwnDyEp6f/XZM3/B8SkzQdCkiQrYCcQLMuyoyzLzYCpwIK8VfZmylQozZ9R94mJjiU5Wc3Zkxeo7VjDKE9l+4qcijgLwOEDx6jv5MC1S9fx6DocgC+Lf05MdCwAZSuU5vD+YwCcOxlJLYfq2dZUzaEaJw6eAuDK2atI9pIhrVKNilw8fZnkpGTiY+O5f+chZSuVwcLSgl837eXHsHVG17p19TY2ttZYWFqgUCjgHd5WmYqtqjtU49ihkwBcPnuFimnsU6VmRSJPXUpjnweUq1RGd85B3TnHDpygbuPaRD+NplcLdzRqDZ98WoSkl7qHyg1LN7N9je4NjpmZGYnZfNjMYKcTF6jjWNMoT5Xqaey0P4L6TnUB6DukB+dPRSJfvmHIa2FpwZTZPkwbl/MohdLl7bh35wGx0bGok9WcPxlJrXRlV8le4swx3RuooweOU69xHQBinsfi7jws/SUB6Nq/M8d/P8nNa7ezoaUU9+88IDY6DnWymgsnI6npaFz2FatV4Oyx8wBEHDxBXafaVHew5/gfunbx94N/MDM3o1CRglSsJtGoeX2WbA1jYvBYrKzz49C4NlcjZSaHjGfJ1jAunLqERq3JskZTI7X8XtnsYkab2UuceWWzAydwSFN+Hs6eRnnn+oXzy+a9KBQKPvvyU2Kj496b9hJffkHIzInv7fppKV3ejntR9w31/NyJC9SuX8MoT2X7ioY3rUcOHKeeU10unL6En/dMALRaLWZmStTJasM53fu7cuxQ9up5dYdqHD/4yk9dpZJ9hVQNNSoReTozP1XVcM6xgyep07g20c9i6N1S56eKfFokw+RXk28bExMdy8k/TmfBPsZt73xm9Shd23NwqkMNh2qcyKTtffZFUSJPXwIg8tRFqjvYAxAbHctAF68PaqdX5MufD/dRfZjnFw6AVK0CFe0rsHBzCP5LJvPJp8YTLm+jXIXS3I26Z/Dnp0+co279WkZ5qlavxImjZwA4tP8oDZvUo2GTelw8f4U586exYedyzpw8j1qdWqd6D+jG4YPHka/ezJYeU8XeoSrH9eOWy2evGvXLlWtU4qJROerGLZaWFuzZtJcfw9Ya8iYnJjOwg6fhTbuZudkHmfD9kOTWGO/LUl9w68otYp/HotVquXZepnKtyjnSlNu+U758gwIFdQ/bNrZWRv40d/RFUru+8biqkpG+Yzg61eXapesM6jYCgC+Kf0FszLv3daY0njLSlM4+tdKVXyV7iTMRrzQdo55THSJPX2KKt27CP235zZ0SzpF9EcCrNpi1KKnc9OdN2ziRkpJiSHuFT9AoFs9aTuI7Rm4JTA+xPOrD0Q44IMvysVcHZFk+KUlSU0mSSgBLgfzAC8ADMAPWA/eAssBJWZYHS5L0BbAWUACPXl1LkqQmgD+gAW4BA4EeQD90k3OTZVnen13RNjbWxMamOvH4uARsCxhHoygUCsP/E+LisSlgDYBGo8HLdxA93bswc3wwANcuX6fpN43ZsfEXmn7TmPxW+bMrCWsbK+Jj4w2/p6RoMDNTotGkYGVrTXxMalpCfALWBayJi47j1B9naNXlG6NrRcl3WLZnES9fvOSPX44Ql+bc7GIqtrK2tSY+TcebkpKCmZkZGo0Gaxtr4tNoTIhLwKaADVZpjr869kpX577ODBjVh40rtwIQp792kaJFmDJ/AiF+87NmID02ttaGawDEx8e/0U7xej2OjetSqkwJpoyeRc00E1iTAsawcuFa/nn0OFs60mKdXlNcgqFsMtOUkCb9sL7jTo+5ypxOPTvQq/WA7GtJU7/j41+8XYutNTY2VkQ/i0mn0YbL56+yY91url28Tl+vnriP6kPs81hq1quOe/shWOazZNn2+fRpM8jIBh8T1rZWmZTf2+sUYBh4pUdppmT9/u+xsLRg2bzvc1+0nhZNG/Hgr7/f2/XTYmNrTVza9h+fgI1tuujCVDOREJeAra0NSYlJJCUmYW5uxoywSWxevYMXCbrlYuYqczp/14Ee37pnS4u1jZVRPdekpBj8uK480/pxXRvQ+a94gzYb21f+M4XOfTriProPG1dsNbpPr2FuTB6atWiN9G0vIT4LfsBWpyv6WbTheHzcC2wK2PDgz7+o5Vids8cv0LhFA/Jb5QPgyL5jZJXctBNAu+6tObD7d4OvuHvzHssuruLU4bO0dP6akTO8mOAxJcv6bGyN+724uARsCxi/+TVuezp/X7hIIRzq16Jz6z7ky2fJxp9X0bFFT2Jj4lCpzOneuxPOLb7Lsg5TJ/24RWM0bklfjrp6Fxsdx8k/TuuW/unRarU8e/IMgM59nclvlS9LE5IfE7k1xrsX9QC7CnYU/k9hEuISqNWoJvdu38+Rptz2nX8//IfhEwbT2qUFKgsLFs1ZkSNdafUZjT/jE7C1Te+7jPWl+k8Nnj4DcXN3JWDC3HfSAaY1njLSlM6329q+ZYyQrvymh01k6+qdvEh4Yej/SpUtibffMEb29c2ajlzy52UkO1p2bM54jyn08+5lOKf/yN5E7D/OzSu3smGdfxf/5uVRYtLmw1EaMLwykiRpB1AQ+AK4D8yRZXmPJEnNgVnABKAC0BJIAG5LkvS5/vh6WZaXSZLUFRgsSZICWAY0kmX5H0mSpgN9gGTgmSzLxmuCsoCXz0BqOlRHqlyOyLOXDcetbawyvHVOSUmNTrGysTZKDwtYzPKwH1n/ywrOHD9P0ORQJgaMoWO3thzeH8Gzp8+zK434uASsbFInMBRKncMDSIiNJ3+aNCtrK+Je85a8TKUyODavR9f6PXkR/4KJ4b581daJQ7v/yJYeU7NVfGw8VjZWht+VCiUajS6KIj4uHivr1DQrvcYE/fHEl0mGY6/YvGob29fsYt6aQGo1qMHZiPOUrVia6Yv8CJ+2iHPHL2RJ13CfQdSqV50K6e1kbW2ILkq1U6rX1dkxlk5u7fmyxOf8sG0RpcvbUdleIi4untqONShZujhDR7tTsFABgpfMYNTArEUuDBk3gBoO9pSvVJZL51L35cm87FI1pbdRZtRrXIezJ84bddBvYtDY/lR3qEa5SmW5fO5qqhbr/G/XEhNHXFyCUbm/On5oz2HDAOrQnsOMnjGc/bsPcfbYeRLiX5AQ/4Kom3cpWaY4V85fy5JWU2HwOHdqONhTLpPyS9/u09epuHR1Lj0atYYuTb7DoXFtpoZNZKCL5xvzmzJDx3lQs549FSqV4+K51LZnZW2V4c2q1shHWREbo7OTbUFbgpf7czriLCvDVxvyODrV5czxC1mu56+Ij0vAOq2fSuPH42PT1WV9G4hP56fSPhhs/n4729fuNvJTduVLERcTZ7RnQGYMGutODUPbS61HVtZZ8AMxel1p9Frb5Cc2Jo5p3gGMmuaFu3cfzp2MzFG4em7b6Rvnrxk/cLLh9zNHzxr20vh9z2EGjO6TJV0jfYdQx7EmFSuX5/yZS4bjNnp/nRbjtqfz98+fRXP86Bni4xKIj0vg5vUoSpctReS5yzRs4sjJY2eNHkI/dtKPW5RG45b05fj6cQvoHi6HTBxIyTLFmTBgynvTnFfk1hgvLjqO+VMXMX3ZZGKexXD94g2in0Znmvd1vC/fOdJvGH7D/Yk4dILGXzdgRrgfnj1HZ0sbwLBxHtSsVz2DPuss6UtND5+1hBXhq1nzyzLOHr/A/bsPyC6mNJ5Kq6lmPXvKVyrHpQzl95Zxp94+tgVtmb18Bmcizhn1fXUa1sI3YBSTPKdnaT8byD1//m3nbyj6eVHmb5zLFyU+Jzk5mb/uPaKVSwv++esx7bq1pkjRIoSsm82QTiOybjCBSSOWR3047qGbuAFAluUOsix/BTwD6gPj9fvT+AGvFt3elGU5VpZlDfAXkA/dRM6rWLij+n+Lopv82ai/Rkug1Ktb5URs2Kwl9HUZglPVbylZugQFCxVApTKntmNNzp++aJT32iWZug104dCNm9XnzInz1GtUm4kBYwBISkxErVaTok2hQRMHQmYupK/LEDSaFI79fjLDvd/GpVOXcGxWD4DKtSpx+2qUIe3q+WtUd6iGhaUKa1trSpUvSZQclel14mPiSHyZSOLLRFJSUnj+5Dm2BW0zzfsmTM1Wkacu0aCZI6DbbPJWmlDSy+euUb2ePRaWFljbWmNXvhS35SjdOc1159RvVo8LJyMpWbYEs5ZPA0CdrCY5KRltiha78qXwXzoVv6EzDEuqskLorMX0dh5M4yqtKFW6uMFOderXyGCnqxevp9qpeQPOHD/PmMGT6NF2AL2dB3PkwDHmTA3n/KmLtG7gSm/nwfR2Hkz085gsT9gALAxchkcnT1rYt6OEXTEKFLLFXGVOLccaRKZ5EAGQL90whBs3bObIuRNvnqyq51SHiAPH35gnLYuDVjC48whaVe9I8TRaajhW5+KZy0Z5r1++aQjtbdC0HudPRBJ58iKOTerqlvQU+xSlQkH002jC1s2mco2KANRtXJtrF69z4dQlatWvgYWlBfny56N0eTujzao/FhYFLmdgJy9a2rc3Kr+ajtVfU341AGjQrB7nTkS+9rrjAkZSu4GurOPjXqBN+bhf3SwIXIq7yzCaVWtDCbviBjvVdqxBZAYfdZ06+r+9UTNHzp64gGU+C5ZtCmP7+t0sTRd15Ni4LkcPZD1y5BWRpy5RX+/Hq9SqxK2rqX7qyvmr1Ejjx9P6qfrNdefUb+rA+RM6PxWwbCqg81NJiUmGh5O6jWtnyUctDlrOoM7D+aZ6B4qnsU/NTNvejQxt78LJi9Rv4mBoewqFkuin0TRsXp9Jw6YzpKs3BQsX4EQOIiJyy06ge9usslTxz8PUqETfOWNo2sZJb69ayBdTl56+ibkBC3HrMACHSl9jVya136tbvxZnTxn7xisXr1GvoS6k/6vmDTl1/BxnTpzHsWFtLCwtyG+Vj/JSGe5G3QOgYZN6/L7vaIZ7fsxcfEs5Vjcqx5Lcfs24BWBs4EgsLS3w6TfJsEzq30RujfHMzJRUqFqOYc4jmDxoOqXKleTiqUuZ5n0d78t3xkTHGiYFHj96YlgqlV3mBy6lv8tQmlZrrddXwKDvwmnjv9VYX33OnjiPQ8PajA/QTRYlJSaiTlajzWGogimNp9JqGuDiydfV2hqVXy3H6pna51W/37BZfc7py2/JplB2rP/ZKOK2TsNajJk+nGFuI7lyIesvu3LLny/wX4J7uyEMdfXm542/smHpJo4fOoVro56G/cmePn7KCLcx2bbZx4425cP9fGhEpM2HYwfgI0mSoyzLxwEkSSoHFAdOABNkWY6QJKki8GrX1cw2WLmCbpLnAlBXf+wJumidDrIsR0uS1B6IA0ryjl+sV6s1BE0OYemGUBRKJdvW7+KfR48pW6E0bv06M91nNkGTQ5kaPB6VhYrbN+6wd9cBAFq2a86aXUtRmpmxftVmHvz5F0X+U4TAhdNITkriphzFDJ/s70Pyx54j1HGqzcIdYaBQMMs7iC4enXkQ9YCjvx1j88pthG8NQalUsjxw5Wt3Tv/7wT/sXLObBdtCSU5O5uHdv9iz8b8fva0O7TlMXac6LN05HwUKZowMpLuHK/fvPODw3gg2rdjC4m1hKJUKlsxaTlJiEqtCVjMp1JcOPdrw/Gk0fkNm8PLFS25cucXyXQvRarUcO3iCc8cvELRqBpaWFoycpos8iIuNY2zfrE+UqNUaZvmFsOwnnYataezUo78r08YFETQ5lGlzdXa6dT2K/+rt9L5QqzXMnTKfBevnolQq2bH+Zx4/ekLpCnZ07duJWb7BzJ06n0lzxqJSqYi6cZd9uw+98ZqlypZk96Zfs61Fo9YQMnUBYevmoFAq2LXhF52W8qVw7etC0Ph5hE5dwPjZY3Rabt7lwO7fSUlJ4fzJSFbsWohSqSRoQggAgb5zGT1jOOpkNf97/JSAMXOIj0tg5/qfWbZjPgqFgpUhPxLz/M2RJ6aMRq1h3pT5hK8PRqlUsjNN+XXp60Kg71xCpi5gwpyxqFTm3Llxl/1vKL8NKzYzPnA02pF9SEnRMsv33UPGTQG1WkPw5DAWbQhBqVCwfcNu/nn0hDIV7OjWrzMzfeYQPCUcv2AffT2/w2+7DuLm7kqxUl/i0rM9Lj3bAzB5hD8P/vyLUuVKsmtT9r/I8vuewzg41WbpjnBQKPD3DqSbhyv3ox5w5LcINq7cyqKtYSiVShYHriApMZlVoWvwC/Ghg1tbnj+NZvLQVD+1bNcCtFotxw+cNET/lSpbIltLR3Rtbz7h6+agUCqN2l6Xvi4Ejp+nq0ezx2KuMufOTV09SklJ4dzJSFbuWoRSqSBowjwA7kXdZ+HGebx8kcjpo2dz9NCRW3YCKFmmOH/de2R0/YUzlzJh7lhcenXgxYuXBIyenS19arWaGZOC+WHTQhRKBZvX7uDvR48pV6EMvdy74jc2gJl+c5k5zw+VSsWt67fZs3MfKSkpbFy7nU2/rEKhUBA+ZxnRz3VLtsqUK8XWn97tS46mxu97jlDXqTaLd4SjUIC/dxBdPTrzIOohR36LYNPKbSzcqhs7LNWXY2ZUqFqett2/5cKJi4Rt1C2l3rRiK3/8euRD/jnvldwa472KYFj+38UkJSbz05JNRkuIs0Nu+85ZE+biO3MUSjMlChQE+AbnzFhp9M2ZHMbiDfNQKpRs27Cbfx49pkwFO7r364y/zxzmTAljcrAvKpU5t2/c5bddBwFo2b4ZP+xcgpmZkp9WbeHBn3+9sxZTGU+l1RQ8OZyFG+ahUCjYsUGnqUwFO7r260SATzBzp8zHL3gcKpVufL5v10G6u7tSvNSXuPRsh0tP3QbAk0fMZMw0L1QqFdPCdGPfOzf/xH/s231nbvpzwf8/FP+mzwSaOpIk2aFb+vQFugkzDRAOnAEWoYukyQ8MRxdZs0GWZUf9uceBbugmY9YClkAUUFqW5a8kSWqJLkpHCcQAvYDWQEVZln3epq3KZ/VMqiJ8Yp7zrzi9T/6nNr1wbVuz7O8L9L6JVifktYQM5DezyGsJGTBXmO4Xm36+sPvtmT4g39q3zmsJGTh28Ye8lpCBOlV75rWEDFiZWea1hExRa01v821T9Al/Jz7PawmZcuJq9pYyv2861sj2SvQPxvbzO/JaghGdanTMawkZiNa8yGsJGdBm+u42bzFFHwWY5Gfv85nguBPg2IODirfn+jj5+6uvPlhF+OzQoQ9qRxFp8wGRZfkOuomXzPgmk2OOac51fFNeWZb3AnvTHf4+ewoFAoFAIBAIBAKBQCAQmApi0kYgEAgEAoFAIBAIBALBR8u/+etRYiNigUAgEAgEAoFAIBAIBAITRETaCAQCgUAgEAgEAoFAIPho0ab8a7frEZE2AoFAIBAIBAKBQCAQCASmiIi0EQgEAoFAIBAIBAKBQPDRIva0EQgEAoFAIBAIBAKBQCAQfFBEpI1AIBAIBAKBQCAQCASCjxat9t+7p42YtBEAYG2WL68lGPFCm5zXEjKluEWRvJaQgWjNi7yWkAEzhekF8RU1t81rCRn4JzkmryV8NChNsE7VqdozryVk4PSlNXktIQP1q/XOawmZojHBOOoiKuu8lpABtYXp+U7Bx02SVpPXEjJgiv5AqTC9B9Do5IS8lvDREK9JzGsJgn8RYtJGIBAIBAKBQCAQCAQCwUeLCc695hqm9+pSIBAIBAKBQCAQCAQCgUAgJm0EAoFAIBAIBAKBQCAQCEwRsTxKIBAIBAKBQCAQCAQCwUeLNsX09oHKLUSkjUAgEAgEAoFAIBAIBAKBCSIibQQCgUAgEAgEAoFAIBB8tGi1ea3g/SEmbQSvpVGLBrh790aj1rBzwy/sWLfbKL24XTH8QnxAC7euRRE0fh5arRb3kb1p2Lw+Go2GuX7hXDl/jfJVyjFmxnA0Gg3JSclM8ZrJ0yfP6DW0Oy07Nic+NoHVC9dzZN+xbOtsrNepVmvYteEXtmeic3KIL1qt1kjnq7TZK/zp3rxPju30CoVCgaf/UEpXLkNyUjIhY0N4eOcvQ/q33VvRuue3aNQprA9bz4n9Jw1p1RyrMS50DD3r9QKgQvUKDPQbACh49vgZgcODSE7M2mfQFQoFYwK8KV+5LMlJycwcPZv7dx4Y0ju4taHjd+3RqDWsCl3N0X3HKFikINMWTMQynyVP/n7CdO9AEl8k0m1AZ1p0aAZAxIETrJj7AwUK2TIlfALWttZEP4smYPQcnv3vebZs1aRlIwaP7Idao2Hb+t1sWbPDKL2EXXH8wyah1Wq5ee02M3xmo9Vq8fIdhKNTXbRaLSEzFnIq4izjpo+gYpUKAHzyaRFiY+Lo0do9W3pMpezehFOLhniM6otGrWH7+t1sW7vLKL2EXTGmhk5Aq4Vb8m0CfILRarWM8BtKTQd7zMzN2LJ6R4bzPmZy00eVLl8K39mjUSgU3Lt9H//Rs9FoNHTu05G2Xb5Fq9WydvFP7Nt1MMv6mrRoiMeofoYy27p2p1F6CbtiTA+dqKvn8m1m6svM228oNR2qG8ps69qdjJk2HKlqeQD+U/QTYmNi+a6Nx7sb8Q1EXr7G3EUr+X5+0Hu9D+j9+Mg+hrLcnq6eFrcrxpTQ8QY/Hug718iPz1npT7dmfQAoUMiWrUfXcetaFAAH9/zBhuWbs60pN9vc58U+Y8o8X8zMzVAoFEwfHcTdW39mS09u+anCRQvju8DHkFa2chlWzlrFz2t+yZaenPa97iP70Ejf/oL9wrly/ipStQr4zhpFUlIS1y/fJHhSGFqtllHTvLCvW5UX8S8I91/M5XNXs6XRlFAoFIwOGE65ymVJSkxm1pg5PLjz0JDezq0NHXu2RaPR8H3oGiL2HTekdXHvRJGiRVgcsMxwzGvKEP68dY/tqz9On56bY5XM8n5R4nP8Qn1RKBQ8uv83AWPnkPgike+GdqdFx+bEx8azZuEGjmZx3Glq4xaAJi0aMTCNj9qSoY8pzvTQiaDvY/x95qDVavH0GZiqyX8hpyPO8Z9PPyFgwRRUKnOin8fgO3QqCfE5+7x3s2+c8Bw9ALVaw+Z1O/hp9Taj9FKlSxAUPgWtFq5fu8nksbPQarV06tYOt76dMTMzY9+eQ8wPXm44x6FBLeYumkGj6q1NRlOfgW4U/fQTZk8Pz5Gmpi0bM2y0O2q1hi3rdrJxzXaj9JKlixMYPgWtVsv1q7eYOi4QrVbLwh+DKfxJIdTJahJfvsS923AqVZNYunYed27fA2D995v5ZftvOdIlME3EpM17QpKkQ8AgWZavZZJ2B6goy/LLNMe+0ufvlss6MtwrK5iZm+E9ZSh9Wg/kRcJLlu9YwOG9R3n65Jkhz4gpQ1kcuIKzx87jM2skTb5pxF8PHlHLsQZ92wzis2KfErhsOn1aD2TUNE9mTwzlxuWbOPdsR6+hbuz6aQ/fdPyavm0HA7B85wJOHT1L4ovEbOocRu/WHrxIeMmKHQv4I51O7ynDWBS4XK9zFE2+acShXw/zbaeWdHPvTOFPCmbHNK+lwTf1UeWzwLvjSCrWrIjHpAFM6T8NgMJFC9OhX3s82wxHZali7tY5nD18juSkZIp+8R86DXDGzNws1baBXswY5M/DO3/Rqts3fFbsU+7ffvC6WxvRpFUjLC0tGNB+KFVqVcZr8mDG9p0IQJGiRXDt34m+3w7EwtKCJdvDOfnHafp792Lvtv38vPFXvhvmhnPPdvzx36N849KC/m0Gk5KSwtId4fy+5zDfun7DhZMX+SF8LXUb12aw7wBmjp6dZTuZm5sxbtpwun3Tj4SEF6zZtZRD/z3M/x4/NeQZO2044bOWcCriLH5BY2nWyokH9/7CvnYV3L7tz5clviD8hyA6NfuOwEkhhuv+uGspU0YFZFnLK0yl7N5ks1HTvOjZyp0XCS/4ftdifv/vEaN6PmqqFwsCl3Em4hwTAsfwVavGxMbEUcKuGL3bDkRloWLz72vYt/sQsdGx76THFMhtHzXEdwCLApZx7kQkfvN8aNyiAedORtKpVwd6tnTH0tKCn37/McuTNubmZoyeNhy3Vv15kfCCH3Yt4dB/DxvpGz3Vi/mBSzkdcY6JgWNoqi+zknbF6dXWA5WFiq2/r+W33QeZ7RdquO73OxczddSs3DVoOlau3cSuXw+QP5/le70P6Mpy5FRPen07QOfHdy7kj3T1e+SUYSyatYwzx87jGziKJq0acWjPYVp3/oZu7p0p9EkhQ96K1Srw3237mT0xJMeacrvNDRk3gA0rt3Do18PU/8oBz/GDGN1/fLY05Zafevb4GWO7jAOgUq2K9Bnbmz3rfs2Wlpz2vX89+JtajjXo02YgnxX7lKBl0+ndeiDjg0YTPCmMyNOXGDTWnVbOXxMbE0epsiXo03ogBQoXIGztbHp/+34nKt8nTq0aYWFpwcD2nlSpVQlPv8H49JsEQJGihXHt50z/1oOxsLRg0bZQTv1xBoVSge/s0VSqWZFDPx8GoFCRgkwM9aFkmRKsu/VTXv5J70RujVX2bj+QaV7PSYPZtnone7ftp71bG9w8uvDHf4/QsmNz+rcdAsCynfM5nYVxpymOW8zNzRgzbTjdW/XjRcILfty1hIPp+pgxU72YH7hE38eMpWkrJx7e+wv72lXp0dqdL0t8Tuj3Qbg270W/Yd+xc+Mv7Nq0h8Gj++PSoz1rlm7IgS5zJk4fRccWPXmR8IKNv6xi36+/G9lq/PSRzA1YyImjZ5g+Zzwtvv2Ka1du4Na3M24dPEhKTGLEuEGYm5ujVqv54svP6De4J+bmOXtszW1NZuZmBIRMonqtqvy6a38ONZkxfsZIOrXoxYuEF2z4eQX7//uHkSbfaSOZN3MRJyPOMHW2L19/24TffjmEXZkStG7Uxeh6VatXZNWitaxctDZHev4tiD1tBP/vKF2+FPfvPCA2Og51spoLJyOp6VjdKE/FahU4e+w8ABEHT1DXqTbVHew5/scpAP5+8A9m5mYUKlKQCYOncuPyTUA32EtMTKJ0+VKcOXaepMQkkhKTuBd1n/KVyr6TzvMnL75Vp4NTHQBio2MZ6OKVXdO8lioOVTh96AwA185do7x9eUOaVKMCV05dITkpmYTYBB7e+YvSlUqjslThGeBJ+IQFhrzFyxQj5lkszu7OzN4UhG0h22w99Fd3qMaxQ7o3rJfPXqGivZSqsWZFIk9dIjkpmfjYeO7feUC5SmV05xzUnXPswAnqNq7N3w//YUSPsaSkpABgZm5uKLdjB08AEHnqIvYO1bJlpzIVSvNn1H1iomNRJ6s5e/ICtR1rGOWpbC9xKuIsAIcPHMPRqS7XLl1nYNcRAHxZ/HNi0k08uPXvQsShE9y4eitbesB0yu51lC5vx72o+8TqbXbuRCS16tcwylPJXuJMxDkAjh44Rj2nOkSevsQUb91gUKvVYmamRJ2sfmc9pkBu+6hx7n6cOxGJucqcTz4tQlxsHNFPo+nZwh2NWsMnnxYh8WVSNvSlL7ML1E5XZpXtK3JaX2ZHDhynnlNdLpy+hJ/3TCDzMuve35Vjh05y89rt7JosW5T48gtCZk58r/d4RenydtwzKstM/Li9xJlXZXngBA6NdX485nksHs6eRnkr2UtUtK/Akq3hzFo6jU8+/SRnmnKxzc2dEs6RfRGArg9MSsz6y4lX5JafSsuQ6YMJHz/f4OezSk773hoO1TiRSfv77IuiRJ6+BOj6leoO9pSuYMexQyfRarVEP40mRZPCJ0WLZEunKWHvUJXjB3V/++WzV4365so1KnHxdNq++SFlK5XB0tKCPZv28mNY6oNYfuv8rJz7A79u+bjfoufWWOV1eUtXKMWxA/qxykndWMWufCnOpht3lsvCuNMUxy2Z+aja9Wsa5alk1MekahrUTafpi+JfEBsTB0CQXwi7N/+KQqHgsy8/IzYmZy93ylYozd2oe8REx5KcrOb0ifM41K9llKdq9UqcOKrzZb/vP0qDJvVo2KQeF89fZfb8qazfuZwzJy+gVquxsLRgevB4Jo/J/sTW+9JkaWnB1g27WTh3RS5qukDddOVXtXpFTkboNP2xP4IGTRz4pGgRbAvasmTtPNbvXs5XLRoBUMW+Ek1aNGLtzqX4h0zC2toqx9oEpomYtHm/FJIkabckSX9IkhQhSVKzNGlLJEn6XZKkjZIk5X/dBSRJaiJJ0hF93pWSJKkkSdoqSVITfXodSZJ26I+v0N/riD5yJ8dY21oTFxtv+D0+/gU2BayN8igUqbOZCXEJ2NhaY2NjRXxMvPHxAjb87x/dzHG1OlVw7evC+qUbuXn1NjUdq2NlnZ+ChQtgX6cq+a3yvZPOhPiELOkEOLLvGC9fZCsA6Y1YpfvbUzQpKM2UqWmxqWGmL+ISsLa1Yuj0IWxZsoX/PfqfIa1AkYJUrlOJnd/vwqe7LzUa1aB6A+PB8JuwtrUmXt8JA6SkpGBmpnvDam1jTXxsatqr8rFKc/zVMY1aQ/TTaAA8/QZz/dIN7t2+z/XLN2ncsiEAjVs2JF/+7L2Jt7ZJV7fiErAtYGOUJ22ZpU3XaDR4+Q5iwZo5bN/wsyGPucoc114d+X5hzt4wmErZvY7M6rmt7ZttZmNrQ1JiErHRsZibmzE9bCJbV+/kRcKLd9ZjCuS2j0pJSeHzYp+x4eAPFCpSkBtXdINojUaDa19nVu5axK9b92ZZn42tNXFp21q8rkyMBab+NyFOV6Zpy2xG2CQ2r95hKDNzlTmdv+vAD4vWZVlHTmnRtFGO32pmF2tbK+LS+Kx4fZmkJUP91qcf2ReRwY/fufknS2avYKCLJ4d+PcxY/xE50JS7be7502jUag2lypbE228YS4JXZVtTbvmpVzi2qMdd+c8cTSzntO+1trFOV9YvsClgw4M//6KWftKncYsG5LfKx/XLN6nftB5m5mYUK/kFZSQ78mVzjGBKWNtYEZ/GZpoUDWavys/WiriYjPaMjY7j5B+nja7z171HXDmXIYj7oyO3xiqvy2s0VvmmIfmt8nHr6m1q6MedBQoXoFoWx52mOG6xsbUmNs3fHR+fgK1t+jaY+v+041+NRoOnz0Dmr57N9g2pyxrNzJRs/X0tDg1rcfLImdzRFRefJVsVLlIIh/o18R0xjaF9R+MXMAbbAjZMCRzH8gWr+fvR4xzpeR+aYqJjOXLoOO+CjW16X5hRE0aa4rGxtUGlUrFq4RqG9BrN0D5jGD9jJEX+U5jIc5cJmhJKj/Ye3Lv7gGFjBryTvo8VbYrig/18aMTyqPfLaOA3WZZDJUkqBhyRJKmMPm2RLMvHJUkKAgYAkelPliRJASwDGsmy/I8kSdOBPvpjvYHfgb76392BJ7Is95ck6RPgD6BKdgUPGtuf6g7VKFeprNHacWvr/MRGxxnlTftmzsrGitiYOOLiErCyscpwHODr9k3p6/Ud3t+N4/nTaJ4/jWbTqq2ErpvNowf/cOnsFZ7rJwnertOdGgadV1LvZ22VJZ3vg4S4BKxsUuffFEolKZoUQ1r+NGn5baxITlZT1aEqX9p9SQ/vHtgWssV3gQ9r5q7h4Z2H3LupW5d6+tBpKtiX50LEhSzpiI+NNyoDpUKJRqPRpcXFY2Wdrnyi40jQH098mWQ4BmBhacGEuWNJiEtgtm8IAD+Gr2XkDC8WbQ0lYv9x/nn4T5Z0efoMpJZDdSpULkvk2dQys7axyvD2KSVF+9r0sIDFLA/7kXW/LOfs8fPcu/uA+k51OXP8vNGgKjuYStmlZ8i4AdSsZ0/5SuW4dO6y4biVtVWGt2Bp67l1mnpuW9CW2ctncCbiHCvDV+dIhynxPn3Uowd/07lRDzq4tWHE5KFMHaF7s7dp1Ta2rdlF6JogajeoaYiuyIyh4zyoWc+eCpXKcTFDmRnr06ap5zodujK1LWhL8HJ/TkecNSozR6e6nDl+Icf13NQYPM6dGg72lKtUlkvnjH1C3BvKUpf++rfAp46c4aV+ucPBPX8waEz/LGt6n22uTsNa+AaMYpLn9GzvZwO556cChuqW1jV3bsa2lcb7cryNd+174+OM+ydrm/zExsQxzTuAUdO8cPfuw7mTkSQlJXPi91NUrl6RJVvCuC1HcS3yOtHPYrKl15SIT1d+SqUSzavyi03nl6wztoF/G7k1Vnld3rCpCxntP5y2Xb8l4sBxnj+N5s7NP9m8ahsh64J49OAfLp+9+sZxpymOW4aN86BmveoZ+hjrLPUxqenhs5awInw1a35ZxtnjF7h/9wFqtQZnJzfqNa6Lf7gf/ZyHZFnXSN8h1HasQcXK5blw5lIaW1hnYitj3xkTHcuzZ885cfQM8XEJxMclcPN6FBWrVKCuY01KlS6B5xgPChYuSOiyAIYP8M0zTaXLliIyjd2zywjfwdSuVwOpcjkiz6bXlL78UozSY2PiePLPE9b/sAWNRsPTJ8+4clGmTLlS/PbzQUP5/vbzQfwCxuRYo8A0EZE2uYgkSTaSJKnSHLJGN3mCLMsPgBjgUyBJluVXU7QRgETmFAW+ADbq98hpCZQC/gs4SJJUBGgM7AGqAa31+bYA5pIk/Se7f8PioBUM7jyCVtU7UtyuGAUK2WKuMqeGY3UunjF2Utcv3zSEizdoWo/zJyKJPHkRxyZ1deGVxT5FqVAQ/TSaVi4t6NLXhcGdh/PwT93GiYWKFMTK2ooBHYYxa1wwn335qWHjyLfrXM6gzsP5pnoHitsVN+ismanOGxl0vg+unLpC3WZ1AahYsyJ30vwt8vnrVHWogspShZWtFSXLlUA+L+P+1QDGdhnH2C7jiH0eS8DQWfz15yPyW+XnS7svAKjqUJW71+9mWUfkqUs0aOYIQJValbmVZhnF5XPXqF7PHgtLC6xtrbErX4rbcpTunOa6c+o3q8eFkzobBa2awc0rtwgcN9fQodVwrM6OtbsZ7DKc+1EPiDx1iawQPmsJfV2G0KRqa0qWLk6BQgUwV5lT27EmF04bX+PapevUbaALXW3crD5nT1zAoVFtJgSMBiApMRG1Wk2KVqfJ0cmBI/uzv4n1K0yl7NKzMHAZA1w8+bpaW0qkqee1HKtnarPaDXShtQ2b1efciQtY5rNgyaZQdqz/mWXzvs+xDlPiffmoOd/PpETpYoDu4SpFq6Vk2RIELp8OgDpZTVJS8luXkSwIXIq7yzCaVWtjVGa1HWsQefqiUd5rl65TR19mjZo5clZfZss2hbF9/W6Wpiszx8Z1OXog5/Xc1FgUuJyBnbxoad+eEmnKsqZjdSLPGNdv+dINw/KyBs3qce4Nfnxi8DiatWkCgEOj2lyNlLOs6X21uToNazFm+nCGuY3kyoWcRUnklp96RXn78lw5fSXDfd7Eu/a9F05epH4TB0P7UyiURD+NpmHz+kwaNp0hXb0pWLgAJ/44Tckyxfn74T+4dxjKipAfSUlJMXoz/bFx8dQl6jerB0CVWpW4dTW1b75y/irVHaphYanS980luS1nbTz0sZJbY5XX5XVwqsOiWcsZ0nkEKZoUTv1x2jDu9OjgSeC4uXz2ZVFuv2HcaYrjlvmBS+nvMpSm1VrrfVQBQx+TmabUPqY+Z0+cx6Fhbcan1ZSsRqtNYcKs0dRtqNOfEBef7SWTcwMW0qODB/UqtaBUmRIULFQAlcoch/q1OHfK2F9fuShTr2FtAJo0b8jp4+c4c+IC9RrWxsLSgvxW+SgvleH61Zu0cHShRwcPenTwIPpZdJYnbN6XprtR97Jll/SEBCziu44DaVC5JSVLp2qqW78m5zPR5NBAp8mpeQNOHz9Hgyb1CFsRCICVdX4qVCzLretRrNw4H/uaunf1DZwcuJTDfuZjR6v9cD8fGhFpk7v8AMyXJOl3dJMzx9FNqpzTR9oUBv4HWEiSVEOW5fP69Nc99T4B7gMdZFmOliSpPRAny3KKJEmbgEXAdlmWNZIkXQPuy7I8U7/cagLw9DXXfSsatYaQqQsIWzcHhVLBrg2/8PjRE0qXL4VrXxeCxs8jdOoCxs8eg0qlIurmXQ7s/p2UlBTOn4xkxa6FKJVKgiaEoFQqGTXdi78f/m14ADp7/ALL5qzCrnwpvv9lCcnJyYRPX5TtTkKncz7h6+agUCqNdHbp60Lg+HmETF3AhNljMVeZc+fmXfbvPpRTs7yRo79GUKtxTeZtCwaFgrmj5uIywJmHdx5y/LcT7Fi5k+Atc1AqFHwf9MNrvyikTlYzd0wIPuHjQKHgyukrnDxwKss6Du05TF2nOizdOR8FCmaMDKS7hyv37zzg8N4INq3YwuJtYSiVCpbMWk5SYhKrQlYzKdSXDj3a8PxpNH5DZtCkVSNqOtbAwsKC+k11A82FAUv589Y9/MJ0nebjv57gPyp7X5ZRqzUETQ5l6YYQFEol29bv4p9HjylTwQ63fq7M8JnN7MmhTAn2RWWhIurGHfbuOgDAN+2as3rXUpRmStav2sID/QRg6bIl2bkxe18+SYuplN3rUKs1BE8OZ+GGeSgUCnZs+JnHj55QpoIdXft1IsAnmLlT5uMXPA6VSsXtG3fYt+sg3d1dKV7qS1x6tsOlZzsAJo+YaZg4/ZjJTR8F8MP8tfiF+JKcpObli5f4jw7if/885caVm6zYtRC0un05zh3PWtSUrszCWLQhBKVCwfYNu/lHX2bd+nVmps8cgqeE4xfso9N34w6/7TqIm7srxUp9iUvP9rj0bA/A5BH+PPjzL0qVK8muTXvel0nzDI1aw7wp8wlfH4xSqWTnel39Ll3BTufHfefq/PicsahU5ty58WY/Pt9/CX7zfHDt48yLhJdMHxWYbU253ebGTPNCpVIxLUy3T9Cdm3/iPzbrG7hD7vkpgIJFCpIQl7Mvw0DO+96UlBTOnYxk5a5FKJUKgibMA+Be1H0WbpzHyxeJnD56logDx7GwtGCo70A69+5IUmISQePn5VivKfD7niPUdarN4h3hKBTg7x1EV4/OPIh6yJHfIti0chsLt4aiUCpZGriCpFz46qApk1tjlZcvXmaa989b95g6fyLJSUnclu8we3wIGrUGu/IlWfnLYtTJyYRPX5ylcacpjlvUag1zJoexeMM8lAol2zbsNmjq3q8z/j5zmDMljMnBvqhU5ty+cZff9Bvpt2zfjB92LsHMTMlPek1rl29iUtBYBo7shzZFi79P9vxTqi41/pPm8v2mBSiVSjat3cHfjx5TrkJpvnPvyuSxs5jpN5eZ8yahUqm4dT2KPTv3kZKSwsa1O9j0yypQwPw5y4h+njuRdaapSUPApHms3BiOQqlky7qd/P3oMWUrlKZn/y5MHRfILL8QZsyboNN04w6/7txPSkoKjZo6snHPKlJSUpjrv4BnT6OZPDaASQFjUSerefLP/5g40j9XdApMB4U2L6aK/qVIktQACNP/+gsQAqwEigD5gUmyLP8qSZIMHAHKA3eBfkBDYCuQdndJN8AO8EMXFRUD9NIvlSqhz1teluU7kiRZolsmVQooACyUZXlZVr8e5fBlE5OqCFpMSo6BImbWb8/0gYnWmN4eJXGa3NsrKLcoZlE4ryVk4J9k0w3133sxe1+Ted+0qd42ryVkIDHF9B6qTl9ak9cSMlC/Wu+8lpApGm32XhJ8CD5VFchrCRl4qjHN5Xi/XPj57Zk+IB1rdMhrCa9l+/nsLYN737Sr3i6vJWTAFMctSsWH3zfjbcSrs7+J+v9XzBSmuaDl+uPTplexconb1Vp+sAfIMhf3flA7ikibXESW5QigTrrDHTPJl9lyqEPoJnfScx3IsPulLMv3AFWa3xOBXpnks3uDZIFAIBAIBAKBQCAQCAQmipi0EQgEAoFAIBAIBAKBQPDRotX+a4OIxEbEAoFAIBAIBAKBQCAQCASmiIi0EQgEAoFAIBAIBAKBQPDRYoJb1eUaItJGIBAIBAKBQCAQCAQCgcAEEZM2AoFAIBAIBAKBQCAQCAQmiFgeJRAIBAKBQCAQCAQCgeCjJeVfvBGxmLQRAKBSmOW1BCNUCtMMAnuUHJ3XEj4K8ptZ5LWEDCRp1XktIQM2ZvnyWsJHg5kJ+gQrM8u8lpCB+tV657WEDBy7+ENeS8iUFjU88lpCBhJSkvJaQgbUKZq8lvBRkJiSnNcSPhryKU3v8UOtVeW1hAwUNbfJawkZeKyIy2sJHw2WStOrU4KPF9PzmgKBQCAQCAQCgUAgEAgEWUR88lsgEAgEAoFAIBAIBAKBQPBBEZE2AoFAIBAIBAKBQCAQCD5atCki0kYgEAgEAoFAIBAIBAKBQPABEZE2AoFAIBAIBAKBQCAQCD5atNq8VvD+EJE2AoFAIBAIBAKBQCAQCAQmiIi0EQgEAoFAIBAIBAKBQPDR8m/e00ZM2gjeikKhYHTAcMpVLktSYjKzxszhwZ2HhvR2bm3o2LMtGo2G70PXELHvuCGti3snihQtwuKAZYZjXlOG8Oete2xfvSvHerxnelG2clmSk5KZPSbYSE8bt9a079EGjSaF1aFrOLb/BJ9++SnjgkdjZm4GCggeO497t+8jVZcY6jcIhULB08dP8fcKICkxOUe6AJq0aIjHqH5o1Bq2r9/N1rU7jdJL2BVjeuhEtFotN+XbzPQJRqvV4u03lJoO1TEzN2PL6h1sXbuTMdOGI1UtD8B/in5CbEws37XxyFNNBQrZsvPoT9yUbwNw4Jc/WLd8Yw6tpaNxiwa4e/dGrdawa8MvbF+32yi9uF0xJof4otVquXUtiqDx89Dq4x+L2xVj9gp/ujfv804a0qJQKBgx04uylcvo69dcHhrVr29p10NX31eHruX4/hMU+bQIE8J8MFeZE/s8Fn+vWbyIf/HOOkbq211yYhKB6ep5O7fWtNe3ux9D1xq1O1d3F4oULcKSgOUANGndmB5Du6HVwm/b9rN5xdZ30mYKKBQKxgSM0NsnmYAxs7mfxj7t3drQsWc7vV9azdF9xylYuABTF0zEMp8lT/7+HzO8A0l8mciIqcOo7lCNhLgEAMb2m4iNrTWTw8aDAmKexzJ56AwSXyZ+ME2denekdZdvQKtl3ZKN7N91iO+GdsfxKwcAbAra8EnRIrSt2SlbdmvcogHuI/ugUWvYueEXtq819sPF7YoxJXS8ob0F+s41am9zVvrTrVkfAAoUsmXr0XXcuhYFwME9f7Bh+eZs6ckukZevMXfRSr6fH/Re75Ob/YxT68a4DemGFi37tu1ny4ptOdaUGz6hSNHCTFk40ZBWrko5lgQsY8dqY9+bVZxaNMRjVF9DH7MtXZ0qYVeMqaET0GrhlnybAH0fM8JvKDUd7A19zLa1u/i82GdMmeeLmbkZCoWC6aODuHvrzxzpMkVys/198uknTJ8/CZWFOTHPYpg0bDoJ79jvmAK52fZeMSrQm9jnsSzV94k5wdTKTqFQMNR/KGX0Y5WQsSH8decvQ3qr7q34tue3pKhTWB+2npP7T2JTyIblvy/nrnwXgIhfI9ixcgcd3TvSpH0TAE4dOMW6kHU5NRNgerbKbU250feZ2rOVwPQRy6M+AJIkHZIkqeJr0u5IkpQv3bGvJEn6R3/eQUmSzkiStEmSJIs33ON7SZJa5bZ2AKdWjbCwtGBge08WByzD02+wIa1I0cK49nNmUEcvvN3GMcjHHZWFCot8FkwOH49Lnw6GvIWKFGTO6gAatWjwTnoatWqIhaUFQzt4sTRgOYMnDTLS06mfM8OcRzCmhw8DfHV6+o3pw7bvtzPCdRRrw9czwLc/AGOCvAkcNRtPlxGcPHSKz4p9lmNd5uZmjJ42nEFdR9DPeQidvutAkf8UNsozeqoX8wOX0rfjEBQoaNqqMXUb1qKkXXF6tfWgT/tB9B3WE9uCtsz2C8XdZRiDugwnLjaOqaNm5bmmStUkft3+G+4uw3B3GfbOEzZm5mZ4TxnGsO6jGNjJC+ee7TLo854yjEWBy/Fw9kShUNDkm0YAfNupJf6LJlP4k4LvpCE9r+rXsA7DWRqwgiGTBhrSChctjEs/ZzydRzC2hw8DfPujslDRfUhX/rtpL8M7jeTG5Zu06f7tO+to3KohlpYWDG7vyeKA5Qz1y1jPh3Qczig3Hzx8+hva3aRwX5zTtDulUsnA8e54dxvL4PaeOPduT8HCBd5ZX17zyi95tB/GwoClePoNMaQVKVqYLv1cGNjRkxFuYxnsM0DnB7x7s3f7fga7DOf6pRs4f9cOgIr2FRjhNoahrt4MdfUmPjaebh6d2bfrIEM6jSDq+h3adW/9wTQVLFwA517t8egwDM+uoww+d/WC9QaNj/96zLThAdmymZm5GSOnejKs20g8XDwzbW8jpwxj0axlDOg4DIUCmrTStbfWnb9h5uIpFPqkkCFvxWoV+O+2/Qzs5MXATl7vfcJm5dpNTJ4VSlJi0nu9D+ReP6NUKvHw7c+o7mMZ2t6LDr1y3v5yyyc8ffwML9dReLmOYsmsFVy/dINda3/JkSZzczNGTfNicFdv+jsPzbSPGTXViwWBy+iv72O+atWYOg1rUcKuGL3bDqRv+8H00fcxQ8YNYMPKLQxw8WRF6I94jh/0mjt/fOR2++s9zI2fN+1hQMdhyJdu0LFHuw/557w3cnOMB9CuRxvKVCz9TppMsezqf1Mfi3wWjOw4klUBqxgwaYAhrXDRwrTv157RzqOZ0HMCfXz6oLJQUa5qOX7f8TvjuoxjXJdx7Fi5g89Lfk5T56aM6jgK7/be1HKqhV1FuxzZCUzTVqbY95nas9W/hRSt4oP9fGjEpI3pckCW5a9kWW4qy3JtIBlonxdC7B2qcvzgKQAun71KRXvJkFa5RiUunr5EclIy8bHx3L/zkLKVymBpacGeTXv5MWytIW9+6/ysnPsDv2757Z30VKtblZOHdHqunL2KVL2CIa1ijYpcOpWq58GdB5SpVIZF0xZzbP8JAMzMzEhKTKZEmeJEP4uhs3snQjYHY1vI1ujNTHYpXd6Oe1H3iY2ORZ2s5tyJC9SuX8MoT2X7ipyOOAfAkQPHqedUlwunL+HnPRMArVaLmZkSdbLacE73/q4cO3SSm9du57mmytUrUsm+Iiu2LWD2shn859NPsq3JWF8p7t95QGx0HOpkNedPXqSmY3WjPBWrVeDssfMARBw8gYNTHQBio2MZ6OL1TvfPjGp1qxjq19WzV6mQpn5VqlGRS6cu6+tXgr5+lWbBlEX8tnU/CoWCT78sSlxM/DvrsHeoxomDqfU8bburVKMiF09fTlPPde3OwtKCXzftZXVY6luylJQUvmvSl/jYeAoULoBSqSQ5Tf36WKnuUI3jB08COr9UyT61nCrXqESkkV96QLlKZajuUNVwzrGDJ6nTuDYKhYISpYvhEzSKJdvDadtVN+F24/ItbAvaAGBtY4VG/Xab5Zam6Gcx9G7pjkatocinRTJMUjT5tjEx0bGc/ON0tmxWurwd99K0twuZtTd7iTOv2tuBEzg01rW3mOexeDh7GuWtZC9R0b4CS7aGM2vpND55R3/wNkp8+QUhMye+PWMukFv9TEpKCr2/6mdof2ZmOW9/ueUT0jJi+jCCfUNISUnJkaaMfUwktdL1MZXsJc7o+5ijB45Rz6kOkacvMcVbN+mYto+ZOyWcI/siAN2DVlLim6PbPiZyu/3N9Qvnl817USgUfPblp8RGx32Qv+N9k1ttD6BK7cpUqlmJXWtyFkX2ClMsuyoOVThz6AwA185do7x9eUNahRoVuHLqCslJySTEJvDXnb8oXak05auVp1y1cgRtCmL8ovEU/rQwjx8+ZlLPSQYfYK4yJ/kdIs5N0Vam2PeZ2rOVwPQRkzYfjkKSJO2WJOkPSZIiJElqliZtiSRJv0uStFGSpPzpT9RH2HwBPNP/HixJ0gn9z/B0eVWSJK3Q3+eIJElfvatwaxsr4mNTH0I1KRrMzHRVx8rWyugBNSE+AZsC1sRGx2V4oPjr3iOunLv2rnKwtrUiLo2eFE2KQU/6tIS4F9jYWhP9LAaNWkOJMsUZPMmDH+b+SMEiBalapwrbvt/BqG5jqdWwFjUb1MixLhtba+JiUzuThPgEbGxtjDOlmZhNiEvA1taGpMQkYqNjMTc3Y0bYJDav3sGLBF3op7nKnM7fdeCHRTkLVc1tTVE37rIwaBn9nYdycM8f+MwcmSNdr7C2tTYuL339MZKnSBWYEJeAja0u/ci+Y7x88fKd7p8ZVrbWRvU9RZOCMk19T5v2Iu4F1no9SjMlK/cvo0b9Gpw7eu6ddVjbpKvnadqdta018enanXUBa+Ki4zj1x5kM19JoUnD6thHf/7aU88cu8DIh9+32oUlvH01KOj9gZJ8X2BSwxtomtWxf1aX8VvnYtGobUzxn4t1jLC69O1C2Uhn++esxnfs4s/bAKuo3rcf+3b9/ME2gK7POfTqyfNeCDIOxXsPcWDn3h2zZK1VDqj+Ij0vApoCxP0jb3tKmH9kXkaG93bn5J0tmr2CgiyeHfj3MWP8R2daUHVo0bYS5+YdZ1Z1b/QzoyrLxt41YsXfJO7W/3PQJAA1b1Cfq+l3u3cr5y4rMfLit7VvqVLo+ZnrYRLau3smLhBc8fxqNWq2hVNmSePsNY0nwqhxrMzVyu/2Brt/56dCP1G5Yi1NHMy/nj43cantFPi1Cb+9ehE4Mzx1NJlZ2VjZWRm3eaKxiY0VCbIIhLSEuAStbK+7dusfq4NWMdR3Lsf8eY8i0IWjUGmKexQDgPtGdW5du8SDqQbb1vMIUbWWKfZ+pPVv9W9BqFR/s50MjJm0+HKOB32RZdgJcgRWSJL0q8UWyLDcB7gCv4hub6ZdHXQHOAttkWd4vSVJboDTgCDQC3CRJqpbmPu7AE/19OgAL3lV4fFwCVjapc0lKpRKNRjcjnxCbgJWNlSHNytqKuPf8tic+NgEr69R7KpUKg570aVY2+Q2OukaD6sxYMZWZwwO5d/s+Mc9ieHDnIX/e/BONWsPJQ6eM3uhklaHjPFi+dT6hPwQZHuBBZ4vYGGNbaFNSv0VnZWNFbEwsALYFbVm4fh63r0exMny1IY+jU13OHL9gNEjJS00nj5zh1NGzABzY8zsVq2bfXgCDxrqzeHMowasCsE5Xf9K/RUn7Blin7/3Wr4TYeKys09Z3BSlp63uatPw2+Q0dq0atoW8zd4LHzcM3dNw760jf7hRp2l18bLxRWlba3R97juBcuyvmFua06tzinfXlNfFxCUZ1R2lkn/R+KT+x0XHEx8Ub/IOVjW4Q9/JFIhuXbyHxZSIJ8S84c/Qc5SuXZdjEgczwDqRHs77Mmzwfv1DfD6bpFZu/307bmp2p6VidWvoJZbvypYiLiTPaK+dtDB7nzpItYcz9fpaRP7C2yVhv0rY3XXrsa6976sgZTusnKA/u+cOwB9e/gdzqZ15xeM8ROtfphrlKRcsctr/c9gktO32d4wiEIeMGsGxrOCE/BGJjm86HxxjXmfR16pUPty1oy/z1c7l9/Y5Rv1enYS3mrgpgkuf0f8V+Nu+r/YGu3+nS5DtmjgliatiHiUJ73+RW2/uqrRMFixQgcPVM3IZ2o3nHZrRybZktLaZcdglxCeRPNzY3jFXSpb2a4Llw9AKREZGAbj+bslXLAqCyVDE2fCz5rfOzYELOHhtM0Vam3PeZ2rOVwPQRkzbvCUmSbCRJUqU5ZA38ASDL8gMgBvgUSJJl+dXuUhHAq/i4A7IsfwU0BpKAKP3xSsBhWZa1siwnA8eBymnuUw1oLUnSIWALYC5J0n/e5W+5eOoS9ZvVA6BKrUrcupq6TOfK+atUd6iGhaUKa1tr7MqX5LYc9bpL5QqXTl/GsZluM87KtSpx+1rq/a6dv4Z9vVQ9pcqVJEqOokaD6nhOHcrYnr7IkdcBePjnX+S3ykcxuy8BsK9XlTv6zdmyw4LApbi7DKNZtTaUsCtOgUK2mKvMqe1Yg8jTF43yXrt0nToNagLQqJkjZ09cwDKfBcs2hbF9/W6WzvveKL9j47ocPXDMZDRNmevD122/AqBeozpciczZ7P7ioOUM6jycb6p3oHgafTUdq3PxzGWjvNcv3zCE2zdoWo/zJyJzdM+scun0Zerp63uldPXr6vlrVKtXDZWlCmtbK0P9GuHvSY0GulDbF/EvcrzUIC1p213lWpW4fdVYh32adleqvE5HZljZWBG+eS4qCxVarZaXCS9J0WozzfsxEfkWv1TDyC+V4rYcpTunue6c+k0dOH8ikhJlirNkezhKpRIzczOqO1RFvniD2Og4Q5Tak0dPKFDQJqOI96SpZNkSBCybCoA6WU1SYpJhcrVu49oc0y+nyiqLApczsJMXLe3bU8KumFF7izxzySivfOmGYQllg2b1OPeG9jYxeBzN2ug2r3RoVJurkXK2dJkyudXPWNlYEbI52Kj9aXPoH3LLJ7yion0FLp6+/MY8r2Nh4DIGuHjydbW2Rn1MLcfqXDhtXKeuXbpObX0f07BZfc7p+5glm0LZsf5nlqXpY+o0rMWY6cMZ5jaSKxf+HW+P31f7Gxcw0mDX+LgXOa5XpkZutb2tK7czsPUQRriOYt2CDezffoBfN+3NlhZTLrsrp65Qt1ldACrWrEhUGjtdP3+dKg5VUFmqsLK1okS5EtyR7zB89nAatm4IQI1GNbgReQOAySsmE3UlinDf8ByPX0zRVqbc95nas9W/Ba32w/18aMTXo94fPwDzJUn6Hd3kzHF0EzDnJEkqBhQG/gdYSJJUQ5bl8/p0Iy8iy/L/JEnqCRyUJKkGcBXoC8zTTwo10N/r1c6n14D7sizP1C+1mgA8fZc/5Pc9R6jrVJvFO8JRKMDfO4iuHp15EPWQI79FsGnlNhZuDUWhVLI0cMU7fX0pKxzec4Q6jWsxf3soCoWCwJGzcR3QiQd3HhLx2zG2rNxG2JYQFEoFy4NWkZSYzLApQ1CpzPEN0UVA/HnrHnN9QggaHczE+eNRoODSmcscP3Aix7rUag3Bk8NYtCEEpULB9g27+efRE8pUsKNbv87M9JlD8JRw/IJ9UKlURN24w2+7DuLm7kqxUl/i0rM9Lj112xZNHuHPgz//olS5kuzatMdkNIX6L2LqvPF06ePCi4SXTB2ZvY1Q06NRawiZOp/wdXNQKJXs2vALjx89oXT5UnTp60Lg+HmETF3AhNljMVeZc+fmXfbvPvRO93wbh/ccpXbj2oRvD9HXrzlG9Wvrym2EbZmHUqlgRdAqkhOT2bJyOyNnDafXiJ5oU7SEjH/3cOw/9hyhjlNtFu4IQ6FQEKBvd/ejHnBUX8/nbw1BqVSyLHDla9tdQlwCe7ftZ/6WeajVam5dvc3eLfveWV9e8/uewzg41WbpjnBQKPD3DqSbhyv3ox5w5LcINq7cyqKtYSiVShbr/dKq0DX4hfjQwa0tz59GM3noDF6+eMmvW35j2a4FaNRq9mzeS9T1OwRPDGOUvxdmSt3XSOaMD/2gmm5cucWyXQvQarUcP3CSc8cvAFCqbIls72XzCo1aw7wp8wlfH4xSqWTn+p917a2Cna69+c7Vtbc5Y1GpzLlz483tbb7/Evzm+eDax5kXCS+ZPiowR7pMkdzsZ/ZtO0DolrlokjXcunqb37buz5Gm3PIJoNu8Mj4u4bXpWUXXx4SzcMM8FAoFOzbo6lSZCnZ07deJAJ9g5k6Zj1/wOFQqFbdv3GHfroN0d3eleKkvcenZDpeeuo1FJ4+YyZhpXqhUKqbp36bfufkn/mNnv7NOUyC329+GFZsZHzga7cg+pKRomeU798P9Me+R3Gx7uYUpll3ErxHUbFyT4G3BKBQK5o6ai/MAZx7eeciJ306wc+VO5myZg0Kh4IegH0hOTGZVwCq853jTtldbXia8JGRsCA1aNdC9jLJQUaepbh+XVbNWce1sziZNTdFWptj3mdqzlcD0UWj/BW9cTRFJkhoAYfpffwFCgJVAESA/MEmW5V8lSZKBI0B54C7QD2gIDJJluVua600Aasiy7CpJ0hx9HgtgoyzLgZIkfQ9sAA4Cy4BSQAFgoSzLqd+Eew0NizUzqYqgUphmENgz9bsPcv8/YKE0vflgG6VlXkvIgFprum9Gt57fntcSjGhfI0/2Yf/oSE4xvU2mj13M/v47H4IWNTzyWkIGNCY4JovTmOYeWHsv/prXEoz41v7tX5jLK/ZE5uzrYO8L15rOeS0hA3Ea09v0uqj52yM8PzSP1WKZTlaxVKrenikPOPrgwIffkOUDEWnX7oN1ovZ3dn1QO5rek9W/BFmWI4A66Q53zCSflP4YcEj/kzaff5r/j87kOn3S/Nory0IFAoFAIBAIBAKBQCD4iMmLT3F/KEwznEEgEAgEAoFAIBAIBAKB4P85ItJGIBAIBAKBQCAQCAQCwUdLXnyK+0MhIm0EAoFAIBAIBAKBQCAQCEwQEWkjEAgEAoFAIBAIBAKB4KPFBPfyzzVEpI1AIBAIBAKBQCAQCAQCgQkiIm0EAoFAIBAIBAKBQCAQfLT8m78eJSZtBADcjn+U1xKM6FLIPq8lZMoFnuS1hAz8nRST1xI+CrRKi7yWkIHHyaLssorWBGNeNaTktYQMaLSmp6lFDY+8lpApv51fmtcSMlClUpe8lpABC6UYKmYFlbBTltGYoD9/nBSd1xIykN8Exy3R6oS8lpAp+c1Mz1Yv1El5LUHwL0L0MAKBQCAQCAQCgUAgEAg+WsTXowQCgUAgEAgEAoFAIBAIBB8UEWkjEAgEAoFAIBAIBAKB4KNF7GkjEAgEAoFAIBAIBAKBQCB4I5IkKYGFQHUgEXCXZflmJnl+BnbIsrz4TdcTy6MEAoFAIBAIBAKBQCAQfLRoP+BPFugI5JNluT7gAwRnkmcGUDgrFxOTNgKBQCAQCAQCgUAgEAgEuUMj4FcAWZaPA3XSJkqS1BlIeZXnbYjlUYIs0aLVV4wcOxi1WsOGNVtZ++Nmo3S70iUJXeiPVgvXrt7Ad/R0tFot02f5UrdeTeLjE5gxeS7nzkRS1b4SP25YSNTtuwD8sGIDO7dlqb5mQKFQ4DqjH19WKoU6Sc2GcUt4cvdvozzWRWwZsXkagd+ORZ2YjEKpwHlSL0pUK4O5hTm/hmzh8oGzOTNMOi3eM70oW7ksyUnJzB4TzIM7Dw3pbdxa075HGzSaFFaHruHY/hN8+uWnjAsejZm5GSggeOw87t2+bzhnVKA3sc9jWRqwPMe6vmrZiCGj3NFoNGxdt5NNa3YYpZcsXZyZYX5otXDz2i2mjQsyfF45X35L1v28grnT53Pk4HEKFirAnmObuXHtFgD7fjnE6mU/ZVtTkxYN8RjVD41aw/b1u9m6dqdRegm7YkwPnYhWq+WmfJuZPsFotVq8/YZS06E6ZuZmbFm9g61rd/J5sc/wn++HAgXRz2PwHTKZly8Ss6UnN8uus3sn2nT/luinus+HBo8zLtPs0rRlY335qdmybheb1mw3Si9ZujgBYZPRarXcSFN+C36YQ+FPCqFOVvPyZSIe3YcbzvGZ5k3Urbv89MPWHOvKaxQKBWMCvCmvL7OZo2dz/84DQ3oHtzZ0/K49GrWGVaGrObrvGAWLFGTagolY5rPkyd9PmO4dSKK+rhQqUpClO+bT8+v+JCUmkS9/PqYtnIhtQVvUyWqmDQ/g8aMnWdLWuEUD3L17o1Zr2LXhF7av222UXtyuGJNDfNFqtdy6FkXQ+HlotVrcR/ahUfP6aDQagv3CuXL+KlK1CvjOGkVSUhLXL98keFKYoX0WtyvG7BX+dG/eJ8t2c2rREI9RfQ1tb9vaXUbpJeyKMTV0Alot3JJvE6BveyP8hlLTwd7Q9rat3cXnxT5jyjxfzMzNUCgUTB8dxN1bf2ZZC+Ru23Nq3Ri3Id3QomXftv1sWbEtW1pySuTla8xdtJLv5we993s1bdmYYaPdUas1bFm3k42Z+IPA8ClotVquX73F1HGBaLVaFv4YbPAHiS9f4t5tOJWqVmBSwBg0mhSSkpIYO3Qy/3v8NNuamrRsxOCR/VBrNGxbv5st6fqYEnbF8Q+bpPPn124zw2c2Wq0WL99BODrVRavVEjJjIacizjJu+ggqVqkAwCefFiE2Jo4erd1zbK+8RuenRlCuclmSE5MJGDOb+2nqd3u3NnTs2Q6NRsP3oas5uu84BQsXYKrBT/2PGd6BJL5MxLGpA/1H9kaBgmsXrzNnfIjhOqXKlmD57oW0qeFCUmJyHvyluYdCoWBkwHC9zZIITOcT2rm1pn3Ptmg0Gn4MXUvEvuOGNFd3F4oULcIS/Zipy4BOtO3emuf/ew7AbJ953LuVs/64+TdNGD5mIBq1hp/WbmfD6i1G6aVKlyB4/nS0WpCv3WTSGH+cmjZg8PB+hr+rrmNNWjZywcLCAv/gSWjUaqJu3WXs8CkGv55VctNOTVo3psfQbmi18Nu2/WxekTtjg2YtGzN09AA0ag2b1+1k4xpjn6zzV1N145ert5gybhZarRaXbu1w69MZpZmS/Xt+Z8HcnI+BX9GkRSMGpun7tmQYdxZneuhE0I87/X3moNVq8fQZmOqn/BdyOuKc4ZyeA7ryyadFCPVflCNNX7VsxOCR/fW+cxeb04/P7YrjH+ZnGN+l9Z31neqi1cK8GQs4FXGWYiW/YGbYZBQKBQ/v/8WU0QHZHgv/G/iQe9pIkuQBeKQ5tFSW5aVpfi8ARKf5XSNJkrksy2pJkqoCbkBnwC8r9/t/H2kjSdJXkiRpJUnqlu54pCRJ32fxGlv1/1aTJMnpLffaoP+/gyRJeyVJ2idJ0glJkkbpj+eTJOmNIxRJkpwkSbLPirbcwNzcnKkzfejmPACXNr3p2ceV/xT9xCjPlJljmeUfRsfW36FQKGjVphlff9OEsuXs+LZZVwb0GkHAnIkA2FevzJKFP9CpbR86te2T4wkbgGot62BuaUGIix+7AtfRceJ3RukVnewZsno8BYoWNByr6+KEmbkZoZ0ns3zAHP5j91mO75+WRq0aYmFpwdAOXiwNWM7gSYMMaUWKFqZTP2eGOY9gTA8fBvi6o7JQ0W9MH7Z9v50RrqNYG76eAb79Dee069GGMhVLv5Mmc3MzfKZ7497Fk14dBuL6nTOfFC1ilGfc1BGEBizmu/YeoFDQ/NsmhrRJs8YaDSQq20v8vG0vvZ0H09t5cI4mbMzNzRg9bTiDuo6gn/MQOn3XgSL/MY4MHD3Vi/mBS+nbcQgKFDRt1Zi6DWtR0q44vdp60Kf9IPoO64ltQVt6enTlvzv20895CLfkKJzd2mVbU26WnWRfnoARgYxwHcUI11HvNGHzqvz6dxnGdx0G0iWT8vOZ6k1owCJ6tvdAkab8SpUpgVtbd3o5DzJM2BT+pBBL14fSrNVr3dRHQ5NWjbC0tGBA+6EsmLkUr8mDDWlFihbBtX8nPDoMY7jbGAb7DkBloaK/dy/2btvPIGcv5Es3ce6pqyv1mtQldMMcPvk01bYderTlWuR1BrsM59ctv9FzSLcMGjLDzNwM7ynDGNZ9FAM7eeHcs12G+u09ZRiLApfj4eyJQqGgyTeNkKpVoJZjDfq0Gcj4wVMYN3MEAOODRjN3cjgezp7ExcTTyvlrAL7t1BL/RZMp/EnB9BJei7m5GaOmeTG4qzf9nYdm2vZGTfViQeAy+uvb3letGlOnYS1K2BWjd9uB9G0/mD76tjdk3AA2rNzCABdPVoT+iOf4Qa+58+vJrbanVCrx8O3PqO5jGdreiw692lOwcIFs68kuK9duYvKsUJISk977vczNzRg/YyR9XYfRs4MHXXtl9Ae+00Yyb+Yi3NoNQKFQ8LXeH9iVKUH3Nv35ruNA3Lvp/MEE/1FM953Ndx0Hsnf3QTw8e+dI07hpw/HoOpw+HQfj2rNDBk1jpw0nfNYSencYhEIBzVo5UbFqBexrV8Ht2/6MGTgJnxneAAROCqGvyxAGdPEkLjaeKaMCcmIqk8GpVSMsLC3waD+MhQFL8fQbYkgrUrQwXfq5MLCjJyPcxjLYR+en+nn3Zu/2/Qx2Gc71Szdw/q4dVtb5GTZxEKN7+eLebgh/3XtEoSK6tm9lY4Xn5CEkJX3ckzWvaNyqIZaWFgxu78nigOUM9cvoE4Z0HM4oNx88fPqjslBhkc+CSeG+OPfpYHQtqVoFZgyfhZfrKLxcR+V4wsbc3By/GWPo2WkgXdr1xa13J/6Trp5Pmj6GOTPn49q2DwqgZeum/H7gKN069Kdbh/4c2PsHi8JWcfN6FMPHDiJs9mI6t+mDhYUFzVpmv0/OLTsplUoGjnfHu9tYBrf3xLl37vhOc3Nzxs8YRV/XofToMCBTfzV+2kjmzVyIWzt3FAr4+tuvKGlXHLc+nenR0YNOLXuhslBhbv5uMQbm5maMmTacgV1H0Pc1484xU72YH7iEPh0HAwqaGvxUVXq0dmfsoEmMm67zU5b5LAlYMIWufTu9k6Zx00YwoKsXfToOwrVnx0x9Z9isxfTqMBCFQmHwndVrV6X7t/0ZPXAivjNGAjDaz4uNP26lV4eBnIo4S+9BbjnWJsgasiwvlWW5TpqfpemyxAC2aX5XyrKs1v+/F1AMOAD0AUZKktTqTff7fz9po+caYBiRS5JUDbDO6smyLLvo/9sJqJzF0+YDXrIsf40ufKqbJEk1gc+Bt71W6gd8mVV970p5qQx3bt8lOjqG5ORkTh4/i2MDowgv7KtX4diRUwAc2HeYxk3qU0Eqy6EDR9FqtTx9+hyNJoWin/4H+xpV+LqlE9t++ZHg8OlY21jlWFuZuhW5+vt5AO6eu0mJamWM0rUpWhb08Cc+Ot5wrKKTPc8fPcVj5Vi6zfLg0r53j7IBqFa3KicP6Wxw5exVpOoVUu9ZoyKXTl0iOSmZ+Nh4Htx5QJlKZVg0bTHH9p8AwMzMzPCGrErtylSqWYlda3ZnvFE2KFOhNH9G3ScmOpbkZDVnT1ygjmNNozxVqlfkVITOBof3R1DfqS4AfYf04PypSOTLN9LkrUSV6hX5cfti5i0PoOinxpN3WaF0eTvuRd0nNjoWdbKacycuULt+DaM8le0rGt5mHDlwnHpOdblw+hJ+3jMB0Gq1mJkpUSerkS/foEBBnU+0sbVCnawmu+Rm2VWoVp4ew7oTvjUEt6Hds60lLenL78yJ85mW30l9+f2xP4L6Tg58UrQIBQrasnjNXNbuWsZXLRoBYGVtxfzZS9m56Zd30mUKVHeoxrFDJwG4fPYKFe0lQ1qVmhWJTFNm9+88oFylMrpzDurOOXbgBHUb1wZAq03Bs+soYp7HGq7x0/LNfB+6BoDPin1KbExclnSVLl+K+3ceEBsdhzpZzfmTF6npWN0oT8VqFTh77DwAEQdP4OBUhxoO1Tjxh64O/v3gH8zMzShUpCCffVGUyNOXAIg8dZHqDrr5+tjoWAa6eGXLZhnbXiS10rW9SvYSZ/Rt7+iBY9RzqkPk6UtM8dY9PKdte3OnhHNkXwSgm6xKSsz+W73canspKSn0/qof8bHxFChcADMzJck58AXZpcSXXxAyc+J7vw9A2QqluRt1z+APTp+4QN36xv6gavWKnIw4A+j8QYMmOn9gW9CWJWvnsX73coM/8PYYz9VL1wHdA0RiDsovrY9SJ6s5e/ICtR1rGOWpbC+l9jEHjuHoVJdrl64zsOsIAL4s/jkx0bFG57j170LEoRPcuHor25pMieoO1Th+8JWfukol+9T6XblGJSJPZ+anqhrOOXbwJHUa16ZanarcunYbr8lDWLQ1lGdPnvFcH83pEzSKxbOWG6IGP3bsHapx4mCqT0jr2yvVqMjF05fT+ISHlK1UBgtLC37dtJfVYeuMrlXBvjzfebqxYFsIPYflvD8uV6E0d9K0vVPHz+FQv7ZRnmo1KnH86GkADu0/QqMmjoa0z7/8DOcubQkN0kVkXI68RqHCukk3axvrHI1bcstOKSkpfNekr8F3KpW54zvLVrAz8ldnTpynbv1aRnmqVK9k8Fe/6/1VAycHLl64QtD8qazduYwzJ8+jVr+bnsz6vtrpfGclo3Fnqp8a1G0EAF8U/8IwDrCwtGDnxl9YFvp9jjVlGJ9n6jsrGvnO+k4OXLt0HY+uuon3tL6zbIXSHN5/DIBzJyOp5WA87vj/glar+GA/WeAo0BpAkiRH4OKrBFmWx8qyXE+W5a+A74G5siy/MYpBLI/ScQGQJEkqKMtyNNATWAuUlCRpGOCCbhLnCeCMLpypH7pJr8n6vLXRzZQlSZJ0FigJDAVU6PYrck53z7+BYZIkrQLOAw1lWU6SJGkZUFmSJD9gJbAIyAd8AUwE7gGtgFqSJF0BTsqy/Dm6P2ADsBh4CKwC1HqNbrIs38upcWxtbYhJ88ASFxdPgQI2RnkUCkW6dFsuX7zGoGF9WLl0HV8W+xypYjmsrPJz7uxF1v24mcgLVxg+aiCjxg1l2qTZOdKWzyY/L2NfGH7XalJQmilJ0aQAIB+5mOEcm8K2FLX7nKX9gihbrxJuswcR3nVqju6fFmtbK+JiUyeHUjQpmJkp0WhSMqQlxL3Axtaa6GcxAJQoU5zBkzyY2H8yRT4tQm/vXkxyn0zTdk0y3Cc72NhaE5em7OLj47F9Q9nFxyVgU8AGx8Z1KVWmBFNGz6JmGsd/+8YdLl+4yrE/TtG20zdMCBjNiP6+2dcUm6opIT4BG1tjTaTxhQlxCdja2pCUmERSYhLm5mbMCJvE5tU7eJHwgr8f/sPwCYNp7dIClYUFi+asyJYeyL2yAziw8xDbv99BfFwC05dPpf61eoYHzOxiY2ttNFkQH5/w1vKzLWCDSqVi1aK1/Lh0AwULF2Dd7uVEnrvMgz8f8uDPhzg1b5AjPaaEta018Wlsk5KSgpmZGRqNBmsba+LT1jF9vbZKc/zVMYCTf5zJ9B4pKSnM3ziXspXK4NVtdJZ1GdWX+ARsChi/A0hbZglxCdjYWmNtY030s9Qo2vi4F9gUsOHBn39Ry7E6Z49foHGLBuS3ygfAkX3HsqTnbdpsbd/iD9K1velhE9m6eicvEl7wIkHne0uVLYm33zBG9s2eL9Bpyr22p9Gk0PjbRoyY4cnxAyd4mfAy23qyS4umjXjw199vz5gLZPDncRn9OUblF4+Nrd4fLFzDD3p/sOHnFUSeu8zjv/8HQM269vTs3wW39gOyrcnaxrhOvfJBxpIy+igAjUaDl+8geri7MnP8XEMec5U5rr060r1Vv2zrMTWsbYzrsCYlXf2OSdseX2BTwFrvv3THX/mHgkUKUrtBTXq1dOdF/AsWbwvj4pnLtOzYnIj9x7l55eOe3EpLepulpGjS2Mya+BhjH2ZdwJq46DhO/XGGb7t8Y3St/TsOsk3fH89cMZUGXzsaLRPKKja2NsTGpE4sxuvHuWl5XT0HGDD4O1YsXm2Ihrpz+0+mB41n2CgPYmPiOH70VLY15aadNJoUnL5txEh/L47tzx3fqbNZWn+VBd9ga0PhTwpR17EWXVv3xTK/JRt2r6BTy15ZfnGSuRZrYmPTjaVs0/fLqf9/1e5A56c8fQbi5u5KwASdn4qNjuXY7ydp37V1zjXZpNP0FvskxMUbxhKvfGdP9y7MHK/b2/ba5es0/aYxOzb+QtNvGpPfKn+OtQlyjW1AC0mSItA92fSVJGkkcFOW5Z1vPjUjItImlS2AiyRJCsABiEBnn0+Ar2VZrodukquuPv8zWZYbybK8H0CW5QekzpSdBCoAbWRZbgRcAYw9JPRAN3GzCPgHCJYkyRLwB67IsjwNqAgEy7LcAt2auaGyLJ9Bt2HRWFmWX7d5QAvgJPA1ukmlrMfPp2HcBC+27P6e79cvMBrY29hYE53urVhKSkq69Bh+PxjB8YgzbNn9PZ7e7kReuMyzZ8/Zs3sfkReuALBn9z6q2lfKiTwAXsa9wNI6n+F3hVJhmLB5HfHP47i8XzdzfevEVT4t80WO72903dgErKxTo4aUSgUavZb0aVY2+Q2D7xoNqjNjxVRmDg/k3u37fNXWiYJFChC4eiZuQ7vRvGMzWrm2zJaW4T6D+GHbIhb8OAfrNB2TtbV1hjeaacvO2saK2OhYOrm1p3zFsvywbRGNmtVn9GRPKlYtz/HDpzlxRPeAu++XQ1SqJpFVho7zYPnW+YT+EGSkycraKkNnrE1JXZJlZWNlGCzZFrRl4fp53L4excrw1QCM9BuG33B/XJr0JGhSCDPCs7Q01IjcKjuAzcu3Ev0sBnWymuP7T1Cuarls6xnuM4gfty1m4Y/BhoEDgLW1rnzSkln5PfnnCRt+2IJGo+Hpk2dcvShTumypbOswZeJj47FKE6WnVCjRaDS6tLj4dGVmRWx0HAlpjr869jaGdRnJIGcvApa9eWJ30Fh3Fm8OJXhVgFH0oJV1xvukLTNd/Y7TaU5znrVNfmJj4pjmHUAfz54s/GkeT//33PB2PTsMGTeAZVvDCfkhEBvbdNpi3lKf9HXdtqAt89fP5fb1O4a2B1CnYS3mrgpgkuf0bO9nA7nb9gAO7zlC5zrdMFepaNm5Rbb1mCIjfAezevsSFq2ea+wPbKyJiU7vO1OM0mNj4njyzxPWp/EHVy7KlCmn8wetO7Zg6mxfPNxG8Ey/70dW8PQZyKqtC5n/YxDWNmk1WWXSx2hfmx4WsJim9u3oO6QHJUoVA6C+U13OHD9v9ED6sRIfl2DkD5RKpXH9NvIV+YmNjjPyX1Y2VsTFxBHzLJqrF67x9PEzXiS85NzxSCpUKUcrlxa069aaBZvmUaRoEULW5ewFmCkRH5eAlU3qA6fCyGbxRmlW1lbEvcGPb0rTH0fsP0H5bPbHo8cPY8OOFaxYG2Y0Dta1vazVc4VCQbOWTuzcmvoSffLMcXRu04fmjh3Y+tNOJk7P2kuBtOSmnQD+2HME59pdMbcwp9U7+E5v38Gs2b6ExRn8VcbxizZdfxMTE8vzp9GciDhNfHwCT58849b1qByPX4aN82DF1gWE/TA741jqrePO1PTwWUtoXr09fYb0oLjeT+UUL4PvnI2NTXr7pB8rpNVkbZQeFrCYr+zb0ndIT0qUKkbQ5FCafuPEqq0L0Wq1PHv6/J10Ct4dWZZTZFkeJMtyA1mW68uyfE2W5bnpJ2xkWZ7yts99g5i0Scs6dEuknIDD+mMpQBKwXpKkFUBxdJEzAPJbrvcP8IM+ksY+zXlIkpQPqCXL8nRZlh2A8ugiczzSXeMvYKAkSauBQWmv8RpeTcmuAJ6jm9wZhi7iJtsE+ofRqW0f7Ms3xq5MSQoVKohKpcKxQR3OnDpvlPfSxavUb6Sbz2r2dWNOHDtDmbKlePjgLzq06sm82YtJSUkhJjqW9VuWUaNWNQAaNXEk8vzlnMgDIOq0TOWmuhDHUjXL8TALAUW3T6We82Wlkjx7kLXNRd/GpdOXcWzmAEDlWpW4fS3KkHbt/DXs61XDwlKFta01pcqVJEqOokaD6nhOHcrYnr7Ikbow9a0rtzOw9RBGuI5i3YIN7N9+gF837c2WltBZi+ntPJjGVVpRqnRxChYqgEplTp36NTh/2jj66OrF69RtoAtZbdy8AWeOn2fM4En0aDuA3s6DOXLgGHOmhnPt0g1mzJtAy7bNAHBsXJfLF65lWdOCwKW4uwyjWbU2lLArToFCtpirzKntWIPIdJquXbpOnQa6MmrUzJGzJy5gmc+CZZvC2L5+N0vnfW/IGxMda+hcHz96YlgqlR1yq+ysba1ZtX+ZIRqiVsMaXL94I+MN30LorMX0ch5EoyrfUDJN+dWtX5NzmZSfg778nJo34PTx89R3qkfI8lmA7kGgfMWy3LoRleE+HzORpy7RoJku/LxKrcrcunbbkHb53DWq17PHwtICa1tr7MqX4rYcpTunue6c+s3qceFk5Guv32uYG6066QauCfEv3joZvDhoOYM6D+eb6h0onqZ+13SszsUzxj7u+uUbhmVJDZrW4/yJSC6cvEj9Jg4oFAo+K/YpCoWS6KfRNGxen0nDpjOkqzcFCxfgxB+ns22rhYHLGODiydfV2hq1vVqO1bmgX3r1imuXrlNb3/YaNqvPOX3bW7IplB3rf2ZZmrZXp2EtxkwfzjC3kVzJhi9IS261PSsbK0I2B6OyUKHVanmZ8NLogeBjJiRgEd91HEiDyi0pWbqEkT84f8q4Dl+5KOPQQLdsQ+cPztGgST3CVgQCOn9QoWJZbl2Pon3nb+nZvwvfdRzIvbsPMtz3TYTPWkJflyE0qdqakqWLU6BQAb0/r5lpnTL0Mc3qc/bEBRwa1WZCgO5BNSkxEbVaTYpWV16OTg4c2Z/9SDJTJPLUJeo3qwdAlVqVuHU11U9dOX+VGg6p9Tutn6rfXHdO/aYOnD8RiXzxBmWk0hTUL/2rWqsyUdfv4NqoJ0NdvRnq6s3Tx08Z4TYmT/7O3ORiGptVrlWJ21dTfcLV89ewT2OzUuV1PiEzrG2t+eHAckN/XLthTYO/yCpzZs6nW4f+1K7YlFJp2l69+rU5c/qCUd7LkddwbKjbOuCr5o04eUz3clCqVI5bN+6Q+DJ1+drz59GGiOO/Hz2mYMHs7yGTW3aysrEifPNcI9+Zks1NkdMyL2ARPTsOpH7llkY2q1u/Fufe4K+a6P3VmZMXqNegDhaWFuS3ykc5qQx3o3K2WGB+4FL6uwylabXW+r6vgGHcmZmfSh131ufsifM4NKzN+LR+KlmNVvtu/UqY3nc6Vf3WyJ/XdqyZYXx+7ZJs5DvPnDhPvUa1mRgwJlWT3nc2aOJAyMyF9HUZgkaTwrHfT76Tzo+VlA/486ERy6P0yLJ8W5Ika8AL8AXKoNv1uaMsy/UkSbICzpA6MZJZeaUASkmSCgJT0U3EAPyG0YIPUoA1kiQ1k2X5uizLTyVJugskvrqGPt90YJksy3skSeqLbvkV6fKoJEmyQTe5VEV/rANwWJblqZIkdQfGAX2zbxUdarWaKRMCWb91KUqlkvVrtvLor3+oIJWl7wA3fEdPZ+qEIOaETUOlUnHj+m1279iLSmXO+Mne9O7fncTERHxHzwDAZ9RUZgROQK1W88/fTxgzYnJOpRH531NIjasxYss0UMC6MYv5qn9rntz9m0v7Ml/yELFhP11m9Md723RQKNg44d13pQfdG946jWsxf3soCoWCwJGzcR3QiQd3HhLx2zG2rNxG2JYQFEoFy4NWkZSYzLApQ1CpzPENGQfAn7fuMdcnJFf0AKjVGmb5hbDspzCUSgVb1+/in0ePKVuhND36uzJtXBBBk0OZNnc8KgsVt65H8d9dB157veAZC/APmUj3vp14kfCCSd7+OdIUPDmMRRtCUCoUbN+wm38ePaFMBTu69evMTJ85BE8Jxy/YB5VKRdSNO/y26yBu7q4UK/UlLj3b49KzPQCTR/gza8JcfGeOQmmmRIGCAN/gbGvKzbJbFriSeRuDSU5K5szRs5w4kPOOU63WEOgXwvKfwlEqFWwxKr8uTBsXSODkEKbPnYDKwpxb1+/w3137SUlJoVFTRzb8shKtVsu8mQtzFKFhyhzac5i6TnVYunM+ChTMGBlIdw9X7t95wOG9EWxasYXF23T1fsms5SQlJrEqZDWTQn3p0KMNz59G4zdkxmuvv3vDHiaF+tK+exuUZkpmjAzMki6NWkPI1PmEr5uDQqlk14ZfePzoCaXLl6JLXxcCx88jZOoCJswei7nKnDs377J/9yFSUlI4dzKSlbsWoVQqCJowD4B7UfdZuHEeL18kcvroWSIOZD+0/xW6thfOwg3zUCgU7NjwM4/1ba9rv04E+AQzd8p8/ILHoVKpuH3jDvt2HaS7uyvFS32JS892uOg3b548YiZjpnmhUqmYFqbb0+XOzT/xH5u9N/252fb2bTtA6Ja5aJI13Lp6m9+27s+xrUwRtVpDwKR5rNwYjkKpZMu6nfyt9wc9+3dh6rhAZvmFMGPeBFQqFbdu3OHXnan+YOOeVaSkpDDXfwHRz2OZOHM0fz14xPzvdWV2KuIMYUHp91F8u6agyaEs3RCCQqlkm95Hlalgh1s/V2b4zGb25FCmBPuistD58736Puabds1ZvWspSjMl61dt4cGffwFQumxJdm78+PfdAvh9z2EcnGqzdEc4KBT4ewfSzcOV+1EPOPJbBBtXbmXR1jCUSiWLA1eQlJjMqtA1+IX40MGtLc+fRjN56AxevnjJooBlhkia/bsOclu+k7d/3Hvijz1HqONUm4U7wlAoFAR4B9HVozP3ox5wVO8T5m8NQalUsixw5Wu/lhUfG8+yWSsI3aTvj4+c43gO+2O1Ws30SXNYvXkxSoWSjeu28fdf/1BeKkNv9+5MHOPPDL85zJo3GQsLFTev3+aXnb8BUKacHX/eNd4AedzwKcxfHoRarSE5ORmfEdlfop9bdkqIS2Dvtv3M3zIPtVrNrau32btlX/aNlA61Wk3ApLms3DgfpVLJ5nU7+PvRY8pVKE3P/l2ZMm4WAX7z8J83Ue+vogz+avO67fz080oUCgULgpcT/TzmHbVomDM5jMUb5qFUKNm2YbfBT3Xv1xl/nznMmRLG5GBfVCpzbt+4y2+7DgLQsn0zfti5BDMzJT+l8VPvis53hrB0Q6iR7yxboTRu/Toz3Wc2QZNDmRqsG5/fTuM7W7ZrzppdS1GambF+1WYe/PkXRf5ThMCF00hOSuKmHMUMn/f/NUPBh0WR3U/M/duQJOkrYJAsy90kSfIEvpNl2UG/g3M/4D+ApT57IrooFhVQUZZlH/01Hsmy/LkkSW2A2ej2shkM2KGLcnmGbrnV0TT3agAEkbrnzSn4P/buOyqK6+/j+HsXFpRiy0/T7G3EXrFr1Nhj72is2EXFCvaOWMHeNbHGXpJoNJYYe+86dqMmGpMo0qTs7vPHLusuogIioM/3dY5H2Jmd+eydy527d+/M4o1pIO0Y8Aume92MAP4FHgDFVFUtpChKd/M+WmH6qrBWwG3Azrz/+8B3mAZy7ABvVVXfeLfdzzMUTFUVoWWGZPtyrAQ5H500s3KS0uPIdzuZvQ8O2tQ3HpzRPvE3vH5fHkWm3oGU3y+/fvAuJTQolvBvBXvf9CnyWcubRRv0KR3hFentU+e19XvOJWyAIjkUcmuZ0hFekRrbc4D9l/akdAQbDYs3TOkIr7X9XIJvn/BeNS3eOKUjvOKPF09SOsIrsqfJnNIRXvEo8llKR4hTWjuHlI7wCv07zsp5Xy4/Pp5834udzA5+1iLZ3s9WebQhWcsxdZ6Jk5GqqgeAA+afZwOzzT/vwnR5UXy28Zn5/5+An8wP73/N6jH7OoLpW6NiiwaKW/2+No79LQQWmn8db/4XW1zbFkIIIYQQQgghxAfi//2gjRBCCCGEEEIIIT5chlR13UjSkhsRCyGEEEIIIYQQQqRCMtNGCCGEEEIIIYQQHywDH+3temSmjRBCCCGEEEIIIURqJDNthBBCCCGEEEII8cEyykwbIYQQQgghhBBCCJGcZKaNEEIIIYQQQgghPliGlA7wHsmgjQAgg4NLSkewsf/FvZSOECeDMfV9l5xOa5fSEV6hTYXTEyOM+pSO8IpPdK4pHeGDodGkvjplT+r728ukc07pCK8IM0SmdIQ4FXJrmdIRXnH56vqUjvAK98LfpnQE8ZGx16S+if6u9k4pHeEVLlqHlI7witTab8lsn7rexwAEG16kdATxEZFBGyGEEEIIIYQQQnyw5J42QgghhBBCCCGEECJZyUwbIYQQQgghhBBCfLA+5nvayEwbIYQQQgghhBBCiFRIBm2EEEIIIYQQQgghUiG5PEoIIYQQQgghhBAfrI/58igZtBFv9VWtSvQa6Iler2fzmu1sWLXNZnn2XFmZNGsURiPcvHaLcUOnYDR/NXaatI6s+WkpM8bP4dD+Y5bnlClfAv9546heokGic1WtWYnuAzuhj9azde2PbFq93WZ5tpxZGR84AoxGbqq3megzDaPRiJdPd8pVKYPRaCRg4jxOHTlreU67rq34JEsmAifOT1ymWpXoOaAz0Xo9W9b+yKZYZZUtZ1YmzhqJ0Wjk5rXbTPCZitFopK9vj5eZJszj5JEzfPblp/jNGY1GoyHo2XOG9hzFi/CIFC2nz778lHEzh2Nnb4dGo2HcoMncvfVHgjNVqVmRblaZtqzeESvTl4wNHI7RCLfU2/j5TMdoNNJ/VG9KuBfFzt6OTSu3sWX1Dj778lPGzPS1ZBo/aAr34pFJo9Ew2K8/eQvmISoiCr/BU3lw90/L8oYe9WncrgF6vZ4VgSs5/Osx0mdMx9i5I3BM48g/j/9lgrc/ES8iKFfNnS4DOqBBw7WL15k2LMCynRx5srHkx3nUL96UyIioeOUa5NePvAXzEBkRxeTB03holauBR30at/vGnGsVR8y5xswdgWMaB/55/C8TvacQ8SKC1t1bULNxDYwGA9/PXsPBXYdwzeDK6FnDcHJ14vnT50wePJ1n/z57+0FLZZLq+GXPk5X+Y/pYnleoZEF8uozgxpVbjJk9HHudPc+fBTPWayJhoeEpmunKuWv88PtKbl+7A8Bvuw6xfummBJWZ18Te5CqYm6jIKAKGBPDn3b8sy+u2qUO9dnXRRxtYO2stx/eesCwrUq4IQwMH065sezJmzojvXB/LsjwFc7Ns8nJ+WvVzvLNYZxpgru9REZH4D54eq77Xo6G5vn8fuJojv748j7TwbEqmzJlY6LeETJkzMmbeCMuyvIXystBvMdtW/pjgTDGq1apMn0GeREfr2bRmO+tXbbVZnj1XVvxnj8FoNHL96i3GDvXHaDQy7/vpZPwkA9FR0US8eIFn6364Fc7PSL/B6PUGIiMjGdJ7NP8++S/R2d7mwuVrzJi/jBVzpry3fcRIyvY8hkfXlvwvSyZmTVzw3vO/T0l5nonZ3vTv/fh992G2rNxBmrRpGDt3BK7pXYiOimZ8/8k8efRPSr3cJKHRaOg/qS95zO3U1MEz+NOqzOp71KVBW1ObsDJwNcf2HifLF5kZMn2QpR8wfchMQoJDGTVvuOV5eQvmYZHfUnasSlybkJT9uxily5dg8twxfF2yUaIyxdBoNPSe2JvcVm37X1Zte502dajbri4Gc9t+Yu8JXDK4sOS3JdxT7wFwZNcRti3b9rpdxLnPwX7e5CuYh6jIKCYNmsqDuw8tyxt51Kfxtw3RR+tZHriSw78eJX2m9Iyz1O1/GO/tT0R4RJzrfp7tM0YF+qLRaHj04DF+Q6YRER7Bt73bULNxDUKDQ1k1bx2Hfz0ar6w9J/Yil1suoiKjmD1kFn/de1k+tdrUpk7bOuij9ayf/QMn957EMa0jvSb15tNsn2Kvs2fhqIXcOH+dRl0aUatNLYL+fQ7AXN85PLz98HW7fmMm70l9yWMuv6mxzn31PerRsG199HoDKwNXcXTvcbJ8kYWh5nqOBqYPmcn92w8szxno703ws2AW+S1JcB6R+n3UgzaKonwF7AfaqKq6zurxC8AZVVU7JmBbRYCMqqoeVBTlLlBAVdUXVss7mh/zec3zX3nOh8De3g6f8d60rNWR8LBwVv+4hH2//G7T2Rw6tj+Bfgs4eeQMo6f6UKNuVX79+QAAIycPsQzgxPjsiyx06OGBvS7x1c/e3o7B4/rRpk5nwsPC+X7HQvb/8jv//fPUss7gsX2Z47+QU0fOMsJ/CNXqVOHP+39RtFRh2tbz5ItsnxG4YgotarTHMY0jY6b7UrhEQX79aX+iMw0d14/WtTsTFhbOqh2LOBCrrIaM68fsyQs5eeQMo6YMoXqdKjy8/xdFSxXCo24Xvsj2ObO/m0Kz6t/Svntrdm3byw8rNtHXtwdNPRqyZumGFC2nPkO7sXbZRvbvOkiFr8rSd1hPBnTxTXCmgeP60q6OJ+Fh4azYsYDffjlkk2ng2L7M9V/M6SNnGe4/mK/qVCb4eQjZcn5Jh2+6o3PQsfG3Vfz64wF6De3KumWbOLDrd8p/5Y7XsB4M6jLsrTmq1KmEg6MD3Rr2oVBJN7xG9WJoZ9ObvkyZM9Kyc1M61euBg6MDC7fM4sTB03T27sDurXv5ef0vfNu7DU2+bcD2NT/RZ0QPejfvT9DT57Tt2ZoMmdLz7L8gnFyc8Brdi8jItw/WxM7VvaGXOVdPfDqPtORq0bkJXer1xMHRgflbAjl58DSdvNuzx5yrXe82NP62AT/9sJMWXZrSquK3pHVKw4rdizm46xDtvdpy4eRFvp+9htKVS9LDpwuTB09P0DFMDZLq+K1bvJHeLbwBqP5NVZ48+odjB07Sf2xvft7wCzs37qbLgA409KjPusUbUzRTmcol2bN1LzNGzk5UmVWoXR5dGge8Gw+gQIkCdBvZlTFdxgGQMXNGGnVuiFf9fugcdczYPI0zv58lKjKKzJ//j2Zdm5g6isDTJ08Z0nIoAG4lC9BxSAd2rtmVqEyV61TE0dGBng29KFjSjd6jejCs8yhLmTXr3ISu9Xrh4OjA3C0BnDx4Go1Ww9CpA3ErUYDffvodgP+ePKVvi4EAFCpVkK5DO7NjdcIHkWLY29sxbMIAmtVsT3hYOOt+WsreXw7atOe+4wYwc9J8Thw5zdipvnxdtyp7fj5AztzZqFeppc32hk8cyHjfqVy9dJ1W7ZvSzasDfqNmJjrfmyxbvYEdu/aRNo3je9m+taRuzyMjIhg13ZfCJdzY+9OB957/fUvKNgGg+9AuuGZwtWy/Udv6qBeusyzge+q1rE3bnq0JGD0nRV5rUqlUpyIOjg70adQPt5Ju9BrZnRFdRgOmdqpp5yb0qNcbB0cds7YEcPr3M3Qe3JEtK7Zx+JcjlKlaGk/fLozuOhbvFoMAKFjSjS5DO/HTmsS1CUndvwNTX7h9jzbv1BeOUb52eRzSODDA3LZ3HdmVcVZte8PODelnbtunbZ7G2d/PkrdwXn7b9hvzRyXyQ8o6lXB0dKBrw94UKlmQvqN7MqRTTN3ORIsuzehUt7upbm+dzYmDp+ji3Z7dW/by0/pdfNvHgybtGrB767441/Ua2ZMtK7eze8teGnrUx6NbSw7+cohajWvQ5ZteACzePodTh88Q8ZYPNMvVLoeDo47BTQahlFDoPLILEz0nAJAhcwYadGqA9zf9cXB0wH/TFM7+fpamPZpxT73HTO8Z5CyQk1wFc3Hj/HXyFMnLDO8Z3Lp4K1HlFiOmnvdu1JeCJd3oObIHI7rYnvu6m899s7cEcMpSz7dyyFzPu/p2YVTXsQA0aFuf3AVycf7YhXfK9aGTr/z+sF0DWsf8Yh58cU7EdpoBBZMq1Icid/5c/HHnAc+DgomKiubM8fOULlfCZp1CxQpYPjn4fe8RylcpA0CnXm05d/IC6uUblnUdHB0YM9WHcUPf7dO/XPlycv/OA4KDgomOiubs8QuUKm+by61oAcssmkP7jlKuShmuXbpOj9b9Afg86+cEPw+x5Nq+/mcWB65IdCbrsoqOiubMifOUKlfcZp2CRZWXZWWVqXsrU6Yvsn7G86BgAK5dukF6c+fM2dWZ6KjoBGdK6nKaNmYWv/96GAA7ezsiIyKTJFPJ8sVjZVI4bc50eN9RylYpzYVTlxjj7QeA0WjEzk5LdFQ0M8bM5tCvR6wyxW82UjH3Ihzbb5pJcPnMVdyK5rcsK1jcjQunLhEVGUVocCgP7j4kr1tuirkXtjzn6P4TlK5ciiKlC3Pr2m36ju7F/M2BPP3nKc/+CwLAZ8pAFkxe8tYOhbWi7oU5tv+kJVeBoopNros2uf4kj1tuilq9lmP7j1O6cknCw17w+MFj0jqlIY1TGgwGg7n8c3B0n2ndCycvUdS9SLyzpSZJdfxipEmbBs+BHZk5yjQgEjB6Lrs27UGj0fDpF1kIDgpJ8UxKkfwUKJqfeRsDmLhwNJ9kyZSgMivkXohTB04DcO3sNfIVzWdZphTPz5WTV4iKjCIsOIw/7/5FLrdc6Bx1ePl5MXv43Di32Wt8T2YPm2OpXwlV1L0Ix831/Uqs+u5WvAAXT122lNlDc313cHRg14bdrJy1Js5t9h/fh+m+AYnOBJAnfy7u3blvOfedOn6eMrHazsLFCnDiiKk8D+49QoWq7nySOROu6V1ZuHoma39cwlc1KwHg3W0YVy9dB0xvACPi2U4lRrYvPidg0oi3r5gEkro9d3B0ZMf6nSwJ/D5Z8r9vSdkmVKtfBYPBYFkG8MOSTayYtQqAz774lJDnb2+nUrsiZQpx4oCpTbh65ir5i70sM7fiBbh0MqZNCOPh3YfkdsvFvHELObb3OAB2dlqiYvVN+o7vQ4DvrES3CUndv3NwdGDUlKFMGDo1UXliK+ReiNOvadvzx2rb/zK37fmK5CNvkbxM2TCFYfOHkTFLxgTts5h7EY4eiKnbV2za7kIlCnDhZFx1uwhHY+r2vuOUqVzqtevmyp+Do/tMx/TCiYsUdS9Cznw5OHP0HJERkURGRHL/zgPyuuV5a9aCZQpx+oDp2Khn1VfK5+qpq0RHRr8snwK5KFmlJNFRUYxdOY5W/Vpz5jfT8/MWyUuL3i3x3+RP894tElRm1oqUKWyp51fOXEWxqucFihfgklWZmOp5buaPW8BRSz23s8zeLlSqIG4l3BI9i0x8GD7qmTZm5wFFUZT0qqoGAe2A1UB2RVHaAv2BCOAG0A1oC9QDnIA8gD+wB+gIRCqKEjOvcb6iKLnMPzeJ2ZmiKN2AfKqqDlYUxQ44B5SxWj4GyAVkAXIA3qqq/qIoyjfAaEADnAF6ADWACcAL4F+gM1Ac8DVnzgYsAKoDxYBAVVXnK4pSFZgI6IFbQHdVVeP/Ub8VF1dnm05AaGgorulcbNbRaF6OaoaGhOGSzoVylcuQI3c2xgyaTAn3YpblI/0Gs2zeav5+9CQxcWxyBQdb5wrD1dV2LM4qFmEhYbiYl+v1erx8uuPh2QK/4TMACA4K5uhvJ2jYql6iMzm7OBMSHPoyU0jYW8sqZrler6evbw/aerZg0jBTpsd//Y33iF7Ua1ILB0cd86YuTnCmpC6nmMGInHmyM3CUF/07DU1wJmdX23IKCw3D1fUtdcrVxXKStre3Y/ysEWxeuZ3wsHDCw0yXrOTIkx3vUX0Y0Cl+M3+cXZxscugNBuzstOj1BpxdnQh5bp0xHJd0zji7OBNqfk5MWaXPlJ5SFUrQvpYn4aHhLNgyi4unL1OrcQ2O7D3GzSsJ+zTG2cXJsg9TLr0ll9MrucLMuV6+lrCQcJzNx/Dxn09YtX85dnZaVs5ZC8CNKzepVKsCNy7fpHKtCjimff+fxr8PSXX8YjRoU499P/5G0NPnlse0dlpW7lmCg6MDy2a+/U3k+8507+Z9Fl9czsnfz1CrydcMmNCX4d3GxLfIcHJxItQqg0FvQGunxaA3mJYFh1mWhYeE4ezqRO/xvdi0cBP/Pvr3le2Vq1mWe+ofPEjE1PAYscvMYFXfnV2dbfKGhYbhnM6ZkKAQTh48Td2WtV/ZXsWa5blz/R73bz14ZVlCvHLuC3n13IdNOxWKi6sLOp2O5fNW8d2idaTPmI51Py3lwtnLPHlsKr8SZYrSrktLPBp2fad8b1KzWiUe/vX4vW3fWlK35wDHfjtBg3c4F6cmSdUm5FZyUqtxDYZ1G0Nn7/Y2+zAYDMxeP508BXLTr82g5Hlh75GTq7PNOdCmnXK1PT+Gm893z81tZLbcWekxsjsjzTNzACrULM/d63dtLiNJqKTu3w33G8Ty+e/eF47xtrY9zKptDwsJw8nVifu37nNj+g3OHTpHtcbV6DWuFxN7TIz3Pk3t88s20mAwYGdnh16vN9fhl8vCzO8NnKwej3nsdetev3yTyrUq8vOGX6hcuyJpndJw6+pt2nu1xck5LfYOOoqULszWeAxUOLmkJcymTuljnfus6lRoOE7pnEiXKR0u6V0Y/e0oqjWrTucRXZjpPYODOw7y83c/ERYSxrBFwylTowwn956Md7m9LL9Y5z59rLbBul0NCcfF1dnSF8iWOys9R3ZjRJfRZMqSiQ7e7RnpOZpqDaomOMfHxvDxTrT5fzHTBmAT0FRRFA3gDhwBPgHGAtVVVa0EPAO6m9dPr6rqN0BDwEdV1YfACmCGqqoxH3EsVVX1K+AuUNNqX2uBxuYBmzrA/jguiYpQVbUu0A/wVhTFHpgD1FdVtTRwE9OAzCKgqaqqVYHfgJiPzrJimvnT0/zYt0BdoLv5NS62et5DTANOCdLPpwffbZnP3O+nWd4AAjg7O1s+KYhh/cmFs4sTwUHBNPNoSL4Cefhuy3wqVS/PoNFeFC9ThFLlitN7kCffbZlP+gzpmL5wQoJy9RnajaWb5zLru6k2b26cnZ0ss0FiGA0vL8tycrFdPnvyQmoUa0jHXm3JmuPLBGWIzcunO8s3z2PO91NwdrHK5OIUR1kZX7t8lt8CqhVtQKdebcmW40sGjvJieN/xNK7qweQRM/GbPZr4ep/lVKZiSQKW+zPMa2yC7mfTa2hXFm+eTcB3/ri4Or3cp7MTwc/fUqfMmVzTuzJn7QxuX7/LstkrLeuUrliSGcv9GOk1Pl73swFTp8rZ5WUOrdZ0sgQIDQ7DycU6Y1qCg0IIDQnFydn0uJOLEyHPQ3j+NIir56/x35OnhIe94OyxC+QvlJc6TWvSoHU95m6YSabMmQhYE79P1EJDwnBySRtnrrBXcjkREhRieo4lV1pCnodQvlpZ/vdpJlqU96Cpe2sq166IW/ECrJy9hs+zfcbcTQF8lvUz/v4zaTqNyS2pjl+M2k2+Zvvan2z2oY/W41GtE/5DpzMq8O2Dge870+nDZzh9+BwAv+38nfyF8r41k7WwWHVLozV1WmOWpbValtbFiaioaAq7F6atd1umrPfHNYOrzb1sajSpzs9rdiYoQ2yx67vGpsxCbZbF1Pc3qdXs63f6tLG/b09Wbl3I/JUzbNtOF2eeB8VuOw02y4Ofh/DP3/+w9rtN6PV6/vvnKVcuquTOmwOAeo1rMnaqL908+vP0A7yPlLX32Z5/TJKqTajbvDaZP8vMnPUzqN+yDq27taDcV5bPA/FqOZCeTfoyadHYZHpl709YcChOztbnQM3Ldio4zGZZWpe0loGv4hWKMX7pWCb187cZoKnZtAY/JvJSyffRvytRpiglyxaj10BPlm+eR/oM6Zi6cHyi8sWI3X5r39C2xwzwnD98ngtHTJfSHNl1hDyF3z5jxZqpfbaq2xoter3etMyqDsfsMzgohLBYdTt2fbd+fNbYeVSuVYF5GwMwGo08+y+Iuzf/YOPyLQSsmcKgif24fOaq5cPEN5dPuE0ZxD732dQp57SEPg/l+dPnHN9jmtVy4tfj5C1qOt9uX7qN50+fEx0Vzal9J8ldKGHlFiM0OMzmdWu1Gtu2waZM0lr6BsUrFGOCVT3/6psqpM+UDv+Vk/Do3ZoajatTp0WtRGUSqdv/l0GbNZgukaoC/G5+TAtcVlU1plU9CBQy/3zO/P99IM1rtnna/P8jTLNyADBv7zegNtAJiOtuUDF3vo3Z/v+Ap6qq/m3exhQgDHhuHjCKne+SeebMM+CWqqqRwFPztjIDnwPrFUU5ANTCNKMnQQInL6BDk55ULlSHHLmykj5DOnQ6e0qXL865Uxdt1r168TplKpQEoHKNCpw+do7BPUfS9puudGjSk0P7jjJt7GzOnbxIvQot6NCkJx2a9CTo2XMGdk/YFO45/ovo0rQ31YrUI1vOrKTLkA57nT2lyhXn/KlLNuteu3Sd0hVM09krVS/PmePncK9YimF+pk+iIiMiiI6Kxmh8t3uNz568kE5Ne1G1cD2y57LOVCLOTJayql6eM8fP416pFMOtM0VHYzAaeB70nBDzpw9/P/qHdFbXsb/N+yqnMhVLMnS8Nz09vLly/lqCymme/2K6NvXi6yLfmDO5Yq+zp2S5YnFmKmXOVLF6ec4eP49jGgcWbghk29qfWDxzhWXd0hVLMnh8P/p4DEhQpgsnL1G+elkACpV049bV25ZlV85dpbh7ERwcdTi7OpMzXw5uq3dMz6lhek75au6cO34B9eINciu5SJ8xHXZ2WgqXLMid63dpUakdvVt407uFN/89+Y/+HoPjleviW3IVs8mVndvqHS6evEQFc65y1cpy/vhFgoOCiQiPJDIiisiIKEKeh+CazoVi5Yqyfc1P9G7Wn4d3H3Lx5KU4c6R2SXX8wPSJoc5RZzOANWhSf0pWKA5AaEg4hni0E+87k++0wVSrXwWAMpVLol58eelpfFw5eYUy1U1v9AqUKMBd8w2NAdRz1ynsXgidow4nVyey582Gek7F86uuDGk5lCEthxL8LBi/3pMtz8lXNB9XTl1JUIbYrOt7wZJu3L76MtPVc9coalVmOfJl545653WbMr2uovm5eOpyovME+M3n28bdqVCwFtlzZbOc+8qUL8G5k7b3CrhyUcW9gunSlSo1KnDq2FkqVC3LrKX+gOlNeP4Cebh1/Q4Nm9elXZeWfNu4O/fvJX5mUmrxvtrzj01StQlzJy7Es0Everfw5qf1u1i3aAPHDpykfR8P6jQzfW4YFhb+TpcEphaXTl2mrLnM3Eq6WW68DqY2oUjZIugcdTi7OpEjr6lNKF6hGH3G9mJoO1+uX7hus738RfNzKZFtwvvo3/39+AkNKraiU9NedGrai6BnzxncfWSi8sWI3bbfsSqz6+euU8iqbc+WNxt31bv0m9qPivUqAlC8UnFuXEjY+eTCyUtUqF4OMN0s/9a1l3X78tlrFCtbFAdHh1fqdoUapueUr16W8ycuvHZd9yqlmT95Cb2a98egN3Dy4CkyZEqPk7MT3Rp54T90Bp9+kdmmfrzO1VNXKF2tNABKCYV71+7alE9Bm/LJyj31HldPXqF0NVOZFnYvzB/X/8DJ1Yk5e+aSxsn01rBoxWLcvHgzQeUW49Kpy5Sr7g6Yz31Wr+PauWsULWt17rOq515jezOknS+quZ5vXraV7vV60b/FQNbMXcferfvYtWF3ojJ9DAxoku1fcvv/cHkUqqreVhTFGeiL6dKi3IARKKgoirOqqqFAVSCmpTfGsRkDtoNcca0TYzEwFPifqqpx3REq9nP/BjIoipJJVdX/FEWZhekSrnSKonyuqupf8cgX4x/gAdBIVdUgRVEaAom+yDk6Ws/kUQEs/mEWWq2GzWt38PejJ+TJn4u2XVowbugUpowOZNyMYegcdNy6fodfduxL7O4SlGva6FksWDcTrUbLlnU/8vejJ+TOn5M2nZsz0Wca08bMYvR0X3Q6e27fuMeeHaYbDNdqWJ3vti/Ezk7LD8s38fCPv96yt/hnmjI6kEXrAtBotWwxl1Xu/Dnx6NyCCT5TmTo6kDHTfdE56Lhz4y67zWVVu0ENVu5YhNZOy1pzpknDpjPcbxBarRaNRsMEn2kpXk4By/3R6XRMmGXqYNy9+Qfjh/gnONP00bOZt24mGo2Gbet+4smjf8idPyetOjfDz2c6M8bMYdT0oeh0Om7fuMuvO/bTxrMFWXN8QdN2DWjazvStY6P7T2LwuL7odDrGzRphyTRxyNtntfy283fcq5Ri0bbZoNEw0duf1t1a8ODOQw7tOcL6ZZuZv3kWWq2WBf5LiYyIYnngKkYF+NDI4xue/RfE6N4TeBH+gvl+iy0zafbu2M9t9W6CysQ21yHKVCnFgm2z0WhgovcUWnVrzsM7f3JozxE2LNvCvM2BaLRaFplzrQhcxYiAoTTwqE/Qf0GM6T2RF+EvKH3+Got2zMVoNHDhxCVOHDzFlzm/YKR51siTR//gNzBprqlPbkl1/ACy587KX/cf2Wx/w9JNDJk8gM7e7TEajEz1DUjxTPMmLWL4jCE0bd+I8PAX+A1K2LE7vOsIJSuXYOaW6aDRMGPgDJp2bcKfd//k2J7jbFu2nembpqHVaFgx5Tui3vBtZ+kzpScsJOy1y+Pr4M5DlK5SinnbZqHRaPAz1/cHdx5yeM9RNi3bwpzNAWi1Whb7L3vjN7BlyJSe0CTIBKZ2ym/kTJatn41Gq2XTmu08Np/72nVpydih/kweFcCEmcPR6XTcunGXXdv3YjAYqFStHOt3LsdgMDBj4lyCngUzYtIg/nr4iDkrTMfs5JHTzJqyKEmypqSkbs//TKLzcWqRlG1CXHas28moAB8atK6H1k7LRO/3/21h79vvOw9TqnIpZm8NQKPR4D9gGi26NuPh3T85sucom5dtYdammWi1GpZOWU5URBR9xvREp7PHJ2AIAPdv3WeGT2CStVNJ3b9Lakd2HaFE5RJM3zIdjbltb2Ju24/vOc72ZduZtmkaGo2G78xt+3K/5XhP8+ab9t/wIuwFAUMCErTPAzt/p0yV0izaPgcNGiYM8KdNtxY8uPuQ33cfYcPSTSzYYnrvsHDyEiIjIlkesJKRgb40alufZ/8FMaqXqQ8V17p/3LrP2DkjiIqM5LZ6l6nDAtBH68mZLzvLfl5AdFQUs8cviNdA5dFdRyleuQRTNk9Fo9EQOCiARp6N+even5zYc4Idy3fgv9EfjVbLyqkriYqIYv2c9XhN6cvULdOIjo5mpvcMwoLDWDnleyb9MImoyCjOHz7P6f2nEnXMft95iNKVSzJna6C5nk+1qeeblm1h1qYANFoNS6YsJzIiij5jeqHT2eMbYLo1wR+37jPDJyBR+xcfHk3sb/b5mJi/PaqHqqqtFUXxAr5VVdVdUZQ6mGbe7MZ0TxsDpkuSPM2PF1BV1UdRlDTANVVVcyqKUh+YCvQGlpvXeaEoymRMNzsGq2+PMn9D1VxVVReaf78LFAB8gEeqqi5QFKUAsEBV1a8URakLjMJ0H5qzmAaYagDjzfmeYrrMqbDVa7J+fgbgmKqqBRRFqWXelhZ4DrSPmcXzOm5Z3FNVRdBp7VI6QpwMqfDvRatJfRdw2qXCSXxp7BxSOsIrtKn4Lvdbz8X/qz+TQ8PiDVM6wgchnfZ1k0NTTpgh4TcsTw6PI98+rT65Xb66PqUjvMK98LcpHSFOuy8m7hvL3pfU3EZtP7c9pSPYaFmiaUpHeMWTqOC3r5TMsjkk7ObAyeGpPjylI8Qps73L21dKZsGG1PmFwQce/Jp6O5/vaOtnHsn2Rq3xozXJWo4f9aBNSlEURQscBmqrqvr8beunBjJoEz8yaBM/MmgTPzJoE3+p+Q1RaiKDNvEngzbxI4M28ZOa2ygZtHk7GbSJHxm0iT8ZtEl+H/Ogzf+Ly6OSk/kbpbYAyz+UARshhBBCCCGEEOJD9eHf1ev1ZNAmiamqegfT13ILIYQQQgghhBBCJJoM2gghhBBCCCGEEOKDZUiFt4xIKqnvxhNCCCGEEEIIIYQQQmbaCCGEEEIIIYQQ4sOV+r4uJunITBshhBBCCCGEEEKIVEhm2ggAfHX5UzqCjVXaf1I6QpwijdEpHeEVYYaolI7wCoMx9d2/PSIVllNaber7GvLUymhMfZ+f/J0KvzI62sE1pSO8ItqgT+kIcXLQpr4uUGr8eu0Tl1amdIQ4PUtlTYKTRpfSET4Y+lTYR+jomDelI7zi+8hbKR3hFQ9CU2f/PMTpk5SO8IrHL56mdATxEUl9PRYhhBBCCCGEEEKIeEp9w8FJRy6PEkIIIYQQQgghhEiFZKaNEEIIIYQQQgghPliGj/cbv2WmjRBCCCGEEEIIIURqJDNthBBCCCGEEEII8cEy8PFOtZGZNkIIIYQQQgghhBCpkMy0EUIIIYQQQgghxAfLmNIB3iMZtBGJo9FQ1q8jmQpmRx8RzdHBSwi++9iyWOnwNXlaVgGjkcsLf+bejuNJuGsNXhP7kLtgbqIio5g5ZCZ/3v3LsrxumzrUb1cPfbSeNbPWcnzvCcuyIuWK4BM4hLZlvwXgq0Zf0bRLY/TReu5cu8vs4XMwGhP3J6/RaPCe1Jc8BfMQFRnF1MHTeXj3T8vy+h71aNi2Pnq9gZWBqzi69zhZvsjC0OmDsLO3Aw1MHzKT+7cfUL1RNZp7NjXnusPMYbMSnatSzQp4endAH61n+7qf2bbmR5vlWXN+yagAHzDCrWt3mDJsJkajEc8BHahYozx6vZ4Zo2Zz5dw1y3NqN/malp2a0qVhr0RlqlyzAp4DOloybV2945VMYwKHYTQauXXtDv6+MyyvP2vOL5m2bCKtq3e0eU7J8sUZN3sE35RunqhMVWpWpKs507Z1P7ElVqZsOb9kTOBwMBq5ee02k60yZcv5JdOWTaJV9Q4ApEmbhmH+g/gy++fY63RMGT6Ty+euJjiTRqNhkF8/8hbMQ2REFJMHT7OpUw086tO43Tfo9XpWBK7iyK/HSJ8xHWPmjsAxjQP/PP6Xid5TiHgRQdteranZuDqhwWGsnr+OI78eS1Q5pTaVapans7l+/7juZ7at+clmedacXzIywAej0cjta3eYOiwAo9FIlwEdqFCjHHq9noBRc2zqd78xvfnj1n22rNwOgFarZcKC0Wxf8xPHDpwgvqrXrkLfQd2IjtazYc1Wfli5xWZ5jlzZmDp7LEajkevXbjFqiB9Go5FmrRvQtlML7Ozs2LPzAHOmL2bkhEG4FVEAyJzlE54HBdOsTod4Z6lsbgeio/XsWPczW+NoB0YH+Fr+5l62Ax2pZG4Hpo+azZVzV1GK5Md38kAiIyO5fvkm00ea2qeB4/pStExhwkPDmT1xAZfPxr/OV6lZkW4DO6GP1rN17Y9x/v2NDRyO0Qi31Nv4+UzHaDTSf1RvSrgXxc7ejk0rt7Fl9Q4++/JTxsz0xc7eDo1Gw/hBU7h36494Z4lRtVYleg7oTLRez5a1P7Jp1bZYmbIycdZIjOY2YYLPVIxGI319e1CuShmMRiMBE+Zx8sgZho7vT4FC+QH4JEsmgp+H0LaeZ4IzJWU5xfDo2pL/ZcnErIkLEpwnIS5cvsaM+ctYMWfKe91PaqTRaOg3yYs8BXMTGRnF9MEz+dOqLa/nUZdv2tZHr9ezOnANx/YeJ1OWTPjOGopOZ8/zZ8H49fUnPDQcAMc0jkxZO5lpg2Zw/9b9lHpZ74VGo2GAXz9TXyoikimx+lLfeNSjofm8933gao5anctaeDYlU+ZMLPRbQqbMGRk9b4RlWd5CeVnot5jtK23bvkQE5OuJHcnilh19ZDS/DFnCs3sv+7+lutShQMNyANzef56jAS/b/Ux5PqfttrHMK9UbfUTUu+UAqtasRHer9mDT6u02y7PlzMr4wBGmfot6m4k+0zAajXj5dH/ZRk2cx6kjZ/nsy08ZN3O4pd0cN2gydxPRblqrXbc6g4f2NtXrlRv5fsX6ONeb6DeMGzfusGLZWgB69u5I02bfALBn9wGmTJ7zTjkgdbbn1mrVqcagob2Jjo5mzapNrPpuQ5zrjZ/ky82bd/hu2TrA1D9ZsmImq77byL69v79TBpG6JcnlUYqifKUoSpCiKNmsHpusKErHd9hmRkVRliqK8puiKEcURVmnKEr6pMj7DpmKK4oyKoHP2asoirv5ZwdzOQ22Wn5AUZTi8dzWowQFNj2ngKIoBxL6vLfJXqcUdo46djYcyxm/dZQe5WFZ5pjRhfzta7Cz0Vh2t/KzWZYUKtSugEMaB/o39map3zK6jexmWZYxc0Yad26Ed5OB+LYbTmefTugcdABk/vx/NOva1DRAAjikcaDj4PYMbjkU76YDcU7nTNmvyyY6V6U6FXFwdKB3o74s8ltCz5E9LMsyZc5Is85N6NOkP4Pb+tDV1xOdg47OgzuyZcVW+rcYyOrZa+nq2wWHNA50GdwJ7xaD8GrSH2dXZ8p/XS5Rmezs7fAe0xuvNgPp3qwvTdo1INP/Mtqs039Mbxb4L6VbEy80GqhauxJKkXyULFecTvV7MLznWIZM8rasn79wPhq2rkdiLxu1s7djwFgv+rQeQLemXnFmGjCmD/MnL6Zr4z6mTHUqAVCveW0mLRhDhk8y2Kz/6RdZaNutJfa6xI1D29vbMXCsF71aD8CzaR+atmsYRyYv5k1eTJfGvdFoNHxVpzIA9ZvXxm/BWDJaZerQy4Nb127TpXFvJgzyJ2fe7InKVaVOJRwcHeje0IsFfovxGtXTsixT5oy06NyEHo374u0xlB4+pjrVybs9e7bupVfT/ly/dJPG3zYgd4Fc1GxSg24NeuPtMRjPQZ1wTOOYqEypiZ29Hf3G9KFfm0H0bNaPRnHUpX5jerHQfyk9mvQFjYYqtSuiFMlHiXLF6FK/JyN7jmPQpP4AZMiUnpmr/Klcq4Ll+V/m+IIFWwJxK64kKJu9vT0jxg+kffOetGnYhTbtm/G/zJls1hk+fiDT/ebSqkEXNBoNNet+RfacWWnbqQVtGnWlcc126HQ67O3tGT9iGh6NutK+WU+Cn4cwzHt8gsrJe0wf+ryhHfAe04f5/kvM7YDG3A7kp2S54nSs351hPccw1FxOw6YMYsbo2XRr4kXI81DqNPmaSl+XJ0eebHSs152h3UbZtBlvLys7Bo7rS89W3nRp0ptm3zZ6Jd/AsX2Z67+YLo17ocH091e6Ykmy5fySDt90p1PDnnTs0w7X9K70GtqVdcs20bWpF0sDv8drWI/X7PnNmYaO60e3Vv3o2LgnLdo14pNYx2/IuH7MnryQDo16oNFA9TpVKFA4P0VLFcKjbhcGdx+JzwRTOfiPDKBT0150belFSHAoYwb6JSpTUpaTYxoHJs4dTatOTROcJaGWrd7A6MmBREZEvvd9pUYV61TAwdEBr0b9WeK3lB6x+i1NOjemXxNvfNr60sW3MzoHHa17tWT3hj30bzaQm5dvUa9NXQDyF83HzE3T+SLH5yn1ct6ryua+VK+GXiz0W0LvUbZ9qeadm9C7cT8GefjQ3acLOgcdDmkcGDnblyYdG1nW/e/JU/q1GEi/FgNZNHkpNy7d4MfVP79zvny1S2HvqGNNk7EcnLyOr0a+7OOmz54ZtyYVWNNkLKsbjSFnlSL8r4DprZGDS1q+GtEWfeS7D9aAqT0YPK4f3Vv1p1OTXnG2B4PH9mWO/0I6Nu4JaKhmaaMK07aeJ0N6jGToeFMb1WdoN9Yu20iXpr1ZEvgdfYf1jGOvCclnz0S/YTRr3Ilv6rSlfcdWZM78ic06n/wvE+s3LaFOvRqWx3LkzEbzlg2p/XVLalZvTrUalShYKGHn31ezpL723DafPRP8fGnRpDON6n0bd1l9kpF1GxdTu151y2M5c2Vjx87VFC9R5J32/zExaJLvX3JLynvaRADLFUVJqpexFvhRVdWqqqpWAI4DC5No24miquo5VVXHJfBpe4DK5p8rA78A9QAURUkD5ADOJ1nIZJLFXeHP/RcA+OfMLT4pmsuyLOJpCD/WGo4xWk/aLOmT5NMEa4XdC3HqwCkArp29Rv6i+SzLlOIKl09eISoyirDgMP68+ye53HKhc9TR168vs4e/HK2Pioiif+MBRLyIAMDOzo6od+hQFilTmBMHTgJw5cxVlGL5LcsKFC/ApZOXiIqMIjQ4lId3H5LbLTfzxy3g6N7jlv1HRkQRFRFFn8Z9X+ayt0t0RzdXvhw8uPuQ4KAQoqOiOX/iAiXKFbNZp0CR/Jw5eg6AI/uPU6ZKKYq5F+XYQdNrefzwb+zs7ciQKT3pM6ajl09XZoxO/KceufLl5L5NpouvZiqqcDom077juFcuDcDzZ8F0a+Jls66DowO+/oOY7DsjCTIFEx0VzbkTFyhZrrjNOm5FFU4fPQvA4X3HKGuVybNJH5t1y3/lTlRUFHPXTsfTuyNH9idupllR98Ic2286DpfPXKVA0Zcdl4LF3bh46mWdenD3T/K45aaoexGO7TfNBjm2/zilK5ckZ77snD1yjsiIKCIjonhw5wF5C+ZOVKbU5NX6fZHi5YrarKNY1e+jlvpdhOMHTW2Idf1O65yWJdNXsGvTHsvz0zqnZdLAqZw5fC5B2fLmz8W9O/d5HhRMVFQ0p46fpUz5kjbrFC7mxvHDpwE4sPcwFauWpWLVslw8d4Vpc8axbvsSTp84R3R0tOU5Hbq25vf9x1Cv3ox3ltjldC6uv7lY7YB7ldIUdy/C8TjagU8/z8yFU5cAuHDyIsXci5Irf06OHjiB0Wgk6L8gDHrDK53i1+fLyf07Dyx/f2ePX6Bk+eI267gVVTh9JObv7yhlq5TmwqlLjPE2dZaNRiN2dlqio6KZMWY2h349AsS0nxHxLqsYufPn4o87D3huznTmxHlKxWoTChZVOHnkDAC/7ztKuSpluHbpOt1b9Qfgi6yf8Two2OY5Hl1acuTAcW5cvZXgTEldTg6OjuxYv5Mlgd8nOEtCZfvicwImjXj7ih+pImUKc9Lcb7l65lqs/oHC5ZOXzW25qd+S2y0X88Ys4NfNe9FoNGT5IjMhz0MA0DnoGO05lj8+shk2MYq4F+H4fqu+lNV5z614AS6euvzKec/B0YFdG3bz/aw1cW6z3/g+TPcNwGAwvHO+L8so3Dlg6v/+dfYWn1r1f4P//I9N307BaDDNwtXa21n6wLUmd+b3KeuJCk+agcu42oNS5UvYrONWtACnzO3BIas2qkfr/gB8nvVzgs31atqYWfz+62Hg3fqdMfIrebhz+x5Bz54TFRXF8aOnqVCxjM06zs5O+PvNZv26rZbHHj74ixZNu1iOlb29PRGJaMOtpcb23JqprP6wKavyscvKxZkpfrPZsO7lDCFnZyf6ew3n8O9JdzWDSL2S8vKofZgGgXoDlnd0iqIcU1W1XMzPQGugI5AX+B/wCTAXaAbkBzoAfwGfqapqPZd8FuBi3k5boD+mgaIbQDegLdAASAt8DgQCjYDCwCBVVbcpinIb0+BPHuAS4Al8AcwH0pifN0JV1a2KolwAfgOKYrpErhFQAuihqmprRVFaAAMAPXBIVVUfRVEqAtOBKCAMaI5p0Gak+fF6wBLA3zxrqCTwm6qqxje8ps7mch1tVaaTgPRAH/M+Yuf4HFiNaS5EgmfnxIfOJS2RwWGW340GAxo7LUa9qZE16g0oHWtSfFBTri7dnaT7dnJxIvR5qOV3g96A1k6LQW/A2cWJ0OCXy8JCwnF2dabP+N5sXLiRfx/9+zKz0cizf54B0KhjQ9I6p+H0wTOJzuXs6kRIsG0uOzster3hlWVhIeG4uDoT9PQ5ANlyZ6XnyG6M6DIao9HIU3OuJp0ak9Y5LacOnk5kJmeb/YaGhuOSztlmHY3m5ThrWEgYLq7OuLg4WbLFPJ4uYzq8hncnYMxcy4BS4jI5WTqfAKEhYbikc3ltJuvlMW/ErA2Z6M3K+Wt58uifd8jkHEemt5STefnvcWTKkCk96dK70rvNQOq3qIP36D6M6jsh4bli1We9QW+pU06uToRY/R2EhZoyObu8rGsx9f/W1Tt828cDJ+e02DvoKFy6ENtWv+MU8VTA2dWZ0OCXx81UBq+vS6b67YKzizNBT4NsH0/nwoO7D/nr/iPKV3854+7mlcR1xlxcnQm2yhYSEoZrOtfXZgsNCcU1nQsZM2XAvXxJmtfrSJo0jqz/aTmNa7Yj+HkIOp09bTo0o0nNbxOUJXY7EFNXXpclph2IXU6hIeG4pHPh4R9/UbJcMc4cO0/lmhVI65SG65dv0rZ7K9Yv38xnX2Qht5KTNE5pEp3P1fUtbYKrC5ERkURGRGJvb8f4WSPYvHI74WHhhIeZLiHJkSc73qP6MKCTb7xy2GRyidV2hoTh+pZ2Kma5Xq+nr28P2nq2YNKwl4PJ9jp7WrRvTJs6nROcB5K+nACO/XaCBq3qJSpPQtSsVomHfz1++4ofKSfXWG25db/F1TlWvyUMZ1fT36fWTsvi3QvQOTrw/cxVAFw+dSV5wyez2Oc9g815z9mm/xcWGoZzOmdCgkI4efA0dVrWfmV7FWuW5+71e9y/9SBJ8jnE7v/qX/Z/DdF6wp+a2v2qw9vw9+V7PL3ziAreTbm97xxPrr7b5UbWYp9jQkPDcHWN3a6//DmmXQdTG+Xl0x0Pzxb4DTe1Uc/+M7X1OfNkZ+AoL/p3GvpO+VzTufD8+ctBjpCQUNKltz0H/nHvAX/ce8DXNatYHouOjua/f58CMG7iUC5euMqtm3ffKUtqbM+tubrGUVax8sWUVQ2rsrp8SX3nfX9s3n1YNvVK6nva9AROKIqyKx7rhquqWkdRFB+gnqqqDRRF6YRpUOcH4I71yqqq6oEgRVE+AcYCJVRVDVYUZSbQHQgBXFVVraUoSmvAGygHfAX0A7YBWYFaqqreVBRlPdAYeA5MV1X1gKIoFczb3gqkA9aqquqlKMpqoC7mARBFUTKZ1yutqmqYoigrFUWpCdQC1gMBQEMgI3AWKGCegVQFGAb8CnyNaUBo11te01NVVRuZ94uiKNMAg6qqvd+Qo5E5+2JFUVqZj0uSigoJR+eS9uUD2pcDNjHUFXu4sXofNVYN4dMKbjw+kvB7esQlLCSMtFb71mg1GMz7Dg0Jw8lqmZNLWqKjoijsXpgvcn5BO29wzeDKsLk+TOo9GY1Gg+fwLmTNnZVx3RL+ptpaaHAYTs5Olt+1Wg36mFyxljm5pLUMEhSvUAzviX2Z1M+f+7dNnQqNRkOP4V3Jmjsro7qOTXCWHkO6UMy9CHnd8tjcV8LZOS3BQSE261p/8uTk4kTw8xBCQsJwcnGyedzF1ZlsubIydLI3Do4O5MqfE++xfZgZz1k3PYd6Uty9KHnd8nDp7MtOp7OLEyFvyGRabvvpRoz/ffoJJcoWJVuuL2FgJ9JnSMek+WMY1nNMvDL1GtqV4u5FyRdHpreWU6zl1oKePue33aZPrA7uPkynPm3jlSe22PVZq9Va6lRYcKxj5Gwqx9AQU12LfBFpqWf3bv7BpuVbmb7an8cP/+bK2asE/Rf0yv4+FN3N9TuPW26uWNVvJ+dXj0vMJ57wsn6HhoS+Ur+Dn7/+eCbEAN9elC5XggIF83Hu9CXL4y4uTgTHqse29dyZ50HBPHsaxLHDpwkNCSM0JIyb1++QK08OLpy9TMWq5Thx9IxNR/1NegzxpLilHXhZv+Mqp7jagdjl5OySluDnIYzz9mPguL54enfk7IkLREZGcfy3kxQsVoCFm2ZxW73DtQvXbQZ+49JraFdKlC1KPre8XDp72Tbf8zeV1cvj5ZrelalLJnD6yFmWzV5pWad0xZL4+g1kpNf4BN3PxsunOyXdi5G/YB4unLFtE2J/ymqwqluxl8/yW8CSWd+z5uclnDl2jvv3HlK+ShlOHztn8+YhPt5nOYnkERYcRlpn67bcqt8SHEpaZ9v2KKZ/oI/W07l6V0pWKoFP4BAGNB+UvMFTQOzznsbmvBdq0/+LOe+9Sc1mX7NxyeYkyxcZEo5DrHzW/V87Rx11pnYlMvQFvw5fDoBbk4qE/PUfRVp9hXPm9DRfNZQfWiSuz9lnaDdKlC1Gfre8XLRqD5ydXz2PxXX+izF78kKWzl7Jqp8Xc+bYeR7ce0iZiiUZ7jeYYV5jE30/m2EjvSlXvhSFCimcPvXyQgIXF2eCnsXdl4vN0dGB2fMmExISyiDv0W9/wmukxvbcmu+I/pQtV5KChRXOnLpgedzFxZmg1/R7xf9fSfqV36qq/otptsh3r9m29aVTMVMangExf0lPMc14+QPTAIuFoig682yU3MBlVVVjavNBoJD557NW27yqqqrRapsAf6iqGjOn/AigYJrV011RlJVAD0BntduY7d232gaYZgllBn423y+mIKbZO5MwzdzZi2kGTJSqqgZMlz/VAR6pqhoB7AQqApWA3W95TdbDqJ9iGuiJGX59XY78QMzdMg/zHvx98jpfVjdNr/9fyTw8u/pymm66PJ9TdXE/AAxRetPUUKvG8F1dPnkZ9+ruABQoUYC71+5alqnnVAq7F0bnqMPJ1YnsebNz7ZxKl688GdxyCINbDiH4WTCTek8GoN/kvjg4OjCmy9h3mj0CcOnUZcqZcxUs6cbtay/HHa+du0bRskVwcNTh7OpMjrzZuaPeoXiFYniN7c2Qdr6oF65b1h/o741DGgdGdBmdqFwLpiylZ/P+1CnWmKw5vyRdBlfsdfYUL1eMi6cv26x7/fJNyxT7CtXKcu74BS6cuEi5qmXQaDR8+mUWtBoNV85do3W1jvRs3p8RPcdx5/rdeA/YAMz3X0L3Zn2pVbQh2awylShXjAtWb24B1Es3KBWTqXpZzh6/EMcW4Z/H/9Ksclu6N+tL92Z9CXr2PN4DNgDz/BfTrZkXNYs2sMlUslzx12QyTT2uWL0cZ4+//qrGsycuULGG6T5EJcsV45Z6N96ZrF08ecky66NQSTduXb1tWXbl3FWKub+sUznzZee2eoeLJy9RoYbpOeWqleX88YtkyJQeJxcnejbuy1SfmWT5PAu3rf5uPjQLpyylV/P+1CvWxKZ+lyhXlEuv1O8blvpdvlpZzh+/wPkTlygbq34n1SDWDL95eDTqirvb1+TMnY30GdKh09lTpnxJzpy0rTNXLl6jbMVSAHxVoyInj53l9PFzlKtYCgdHB9I6pSGfkpt7d0zta8WqZfnt1/g36QumLKFH837ULtaIrDmz2vzNvdoO3HilHTh/4iLlq7pbykmj0RL0XxAVa5RnZJ/x9GrlTfqM6Th+8BTZc2fl8Z9/49moN0sDvsdgMNjMXovLPP/FdG3qxddFviGbVb6S5Ypx/pTt39+1S9cpVSHm7688Z4+fxzGNAws3BLJt7U8snrnCsm7piiUZPL4ffTwGcOX8NRJi9uSFdGrai6qF65E9V1bSZUiHvc6eUuVKxJmpTAXTJW+Vq5fnzPHzuFcqxXA/0xvryIgIoqOjMRhNb+jKVXHn0N6jCcoD76+cRPK5dOoyZc39A7eSBbhj1f5eO6dSpKyp3+Js7rfcUe/Sd6IXxSuY+llhoeEYk+DSng/BpZOXKGc+7xUs6cbtqy/7UlfPXbM57+XIZ+pLvUmBovm5dOryG9dJiIenrpOrmum4fF4iD/9cs71MrfESb55c/YM9vsssgyZLqwzkh1YT+aHVREKfBLGxnX+i9z/HfxFdmvamWpF65vYgpo0qHmd7UNrcHlSqXp4zx8/hXrEUw6zbqKhojEYDZSqWZOh4b3p6eCe43bQ2afxMGtZrh5KnPLly5yBDxvTodDrKVyzDyRNn374BYPW6BVy6dI0B/Ua+0yVtqbE9t+Y3IYDG37SnYN6K5Mqd3aqsSse7rIQtYzL+S25J/u1RqqruUBSlCaZLoGYAWRRFsQNcgVxWq7729aqq+lBRlH8URWmkqmrMxXv9AHegF1BQURRnVVVDgapAzLvdt5Xhl4qifKaq6iNMgyYrgfHAYlVVd5pn+nSMR8Y7mAZyaqqqGmW+4fI5oB2wQlXVQYqi+GK6xGkspkukhmG6Tw/AIWAUYFRV9T9FUbRveE3WrdVjoDZwQFGUOsDp1+QoAJTHNFhke1FkEvlj5yk+r1KYOttGodFoOOy9CLdudQm+85gHe87w9Mof1N0xBoxGHu47z+NjiT8BxHZ41xFKVi7JzC0z0Gg0TB84nWZdm/Lw7p8c23OMrcu2MWPTdLQaDcunrCDqNffUyVs4L3Va1+bSiUtM+cF0At26bCuHd716uUt8/L7zEKUrl2TO1kA0Gg3+A6bSomszHt79kyN7jrJp2RZmbQpAo9WwZMpyIiOi6DOmFzqdPb4Bpmmof9y6z45VP1KvdR0unLjIzPXTANi4dDOHdiV8/E0frSdg7FxmrZmGRqthx7qfefLoH3Lly0GLTk2ZMmwmgWPnMmzqYHQ6HXdu3mPfj79hMBg4d+ICS3fMQ6vVMmV4QKLK5HWZZo6Zw+y109FqtWxf+5MpU/6ctOzUFH/fGQSMncvwaUPQ6ey5e+Mee388kGT7j0t0tJ4ZY+Ywd+0MtFot26wyterUjMm+05kxdg4jpw0xldONe/z6hkzLZn3PqOk+rNixgOjoaEZ6Je4Ttd92HqJMlVIs2DYbjQYmek+hVbfmPLzzJ4f2HGHDsi3M2xyIRqtlkf9SIiOiWBG4ihEBQ2ngUZ+g/4IY03siL8JfkCNfdpb8NI+oqGjmTliYJNf2pzR9tJ7AsXMJWDMVrVbDjnU7efLoH3Lmy0GLTk2YOiyAwLHz8J06CJ1Ox12r+n3+xEWW7JiLRqtl2vDAJM8WHR3NhJHT+W7DPDRaDRtXb+PxoyfkzZ+b9p6tGDXEj0mjZjBp5ih0Oh23rt9m5/ZfMRgMrF+9lQ0/L0ej0TB72mKCnplmrOTOm4PNP+x4y55fZWoH5jB7zTQ0Wq1NO9CyU1P8h800/c1NHYK9zp67N01/cwaDgbMnLrBsx3y0Wg1Ths8E4P6dB8xbP5MX4RGcOnyGI/uOmW7C7tud5h0aExkRyZRhMxNQVnqmj57NvHUz0Wg0bFtn+vvLnT8nrTo3w89nOjPGzGHU9KHodDpu37jLrzv208azBVlzfEHTdg1o2q4BAKP7T2LwuL7odDrGzTLdQ+XuzT+YOGRqgsosOlrPlNGBLFoXgEarZcvaHfz96Am58+fEo3MLJvhMZeroQMZM90XnoOPOjbvs3rEPgNoNarByxyK0dlrWLt/Ewz9M326YK092tq9P/I1Qk7qc/vzjr7fsUSSVQzsPU6pySWZtNR27KQOm07xrMx7efcjRPcfYsmwrAZtM559lU5YTFRHFlmVb6T+5L9/2b4vBYCRw2OyUfhnJ4uDOQ5SuUop522aBRsNk7ym07Nach3cecnjPUTYu28LszQGmb83xX0bkG+6bmD5TekJDwl67PDFu7DpFjsqFabPZ1P/dNWgRpTzr8uzeYzRaLdnKFsDeQUeur0wDOwf9f+CvM/G/B1l8RUfrmTZ6FgvWzUSr0bJl3Y+WNqpN5+ZM9JnGtDGzGD3dF53Onts37rFnx34AajWsznfbF2Jnp+UHcxsVsNwfnU7HhFkjAVO7OX5I4geXoqOjGTHMj41blqHValm9ciN//fUYRcmLZ/d2DB4wJs7n1W9QkwqV3HFwdLBcNjV+zDROnjj3DllSX3tumy+akcMms37zUrRaDWtWbuLRX3+TX8lDl27tGDow4TPuxcdHk9ivEbamKMpXmO/1Yv49HXAR031YymMaOLgFfAl4YBoYeaSq6gJFUXpgun/NGEVRGgN1VFXtoSjK/zDd6+YLwMH8/J6qqgYpiuKBaUaPAbiJ6d40rYEC5nu61AFaq6ra0fzNTJPNl2I9w3RpUjbgmHkbrYERwL/AA6CYqqqFFEW5a97eC0VRJgPXgLu8vKdNO0wDSHbmxzsBRTDdSyfUnK2bqqp3FEXJYV4nl6qaPnJXFGUrcE5V1THm39/4mszrPFJV9TNFUfICu4CymC7bip3DCdM9bRwxDTDlUlX1qzcdw++/bJeqvtp+lTbx9yd5nyKN0W9fKZmFGZL2Rs9JIeaTiNTEkCLj4m+WVuuQ0hFea+u5bW9fKRk1KNYgpSO84u/I1HeJ2ScOrm9fKZlFG/QpHSFOUcbUl0unsUvpCK84cSl1Xk71zJg5pSPYaF2iWUpHeK11ZzeldAQbzYo3TukIr2hol/q+jev7yHe7we378CA0dfbPv3D65O0rJbPHL56mdIQ4PQlSU+C7j5LH0qzJ9362y4NVyVqOSTJo86GIGfRI6RypkQzaxI8M2sSPDNrEjwzaxJ8M2sSPDNrEnwzaxI8M2sSPDNrEnwzaxI8M2sSfDNrEnwzaJI3kHrRJ0nvaCCGEEEIIIYQQQoikkeT3tEnNZJaNEEIIIYQQQgjxcUl98/yTjsy0EUIIIYQQQgghhEiF/l/NtBFCCCGEEEIIIcTHRWbaCCGEEEIIIYQQQohkJTNthBBCCCGEEEII8cEyfrTfiyUzbYQQQgghhBBCCCFSJY3RmGxfZy5SsSdPgqUiCCGEEEIIIcRHKnNm1492Psq8bO2S7f1sr/urkrUcZaaNEEIIIYQQQgghRCok97QRQgghhBBCCCHEB0u+PUoIIYQQQgghhBBCJCuZaSOEEEIIIYQQQogP1sd8g1aZaSOEEEIIIYQQQgiRCslMGyGEEEIIIYQQQnywDB/t92LJoE2yUhQlFzAN+ATQAeeBoaqqBr/jdmcCqqqqC8y/DwQ8MN2PaZKqqlveKbgQQgghhBBCCCGSnQzaJBNFUdIC2wFPVVWPmx/rAKwFvknkNjMD3wP5ganmxzIA/YC8gDNwDpBBGyGEEEIIIYQQH6WP+dujZNAm+dQHfosZsAFQVfU7RVH6KoqiB9KpqhqqKMogQA9sBBYBaYFwoBtgB+wA/gV+BjYAY4C6VvsJBe5hGrBx5uOuv0IIIYQQQgghxEdLBm2ST27gVhyPXweigWaYZs14ADWBecAsVVV3KopSA5gMDAc+A0qpqhppfv4dRVHqxtrmfeAKpkEev6R+IUIIIYQQQgghhHj/5Nujks9DIGccj+cF2gPtFUVxx3Rvmn+BIsAwRVEOAKOAT83r37EasIlLXeBzIBeQHWhs3q4QQgghhBBCCPHRMSTjv+QmgzbJZxtQ03oARVEUT+AfVVVVQAMMBhabF1/DdJPir4DumC6FgrfXk6eYLqeKUFX1BfAMyJA0L0EIIYQQQgghhBDJRS6PSiaqqoYoitIAmKkoyieYyv4C0Ma8ylJgHLDf/PsgYL6iKGkw3demXzz387uiKF8DxxRFMQCHgD1J90qEEEIIIYQQQojUw5jSAd4jjdH4Mb88EV9PngRLRRBCCCGEEEKIj1TmzK6alM7wvkzL3i7Z3s8O+mNVspajzLQRQgghhBBCCCHEB8vw0Q5HyT1thBBCCCGEEEIIIVIlmWkjhBBCCCGEEEKID1ZKfKtTcpGZNkIIIYQQQgghhBCpkMy0EUIIIYQQQgghxAfrY/5WHZlpI4QQQgghhBBCCJEKyUwbIYQQQgghhBBCfLAMH/FcGxm0EQDUKFIrpSPYyGzvmtIR4vQkOjilI7zCUatL6QivSG+XNqUjvOKvyGcpHeEVabUOKR3htXZe+DmlI9ioX+yblI7wCp3GLqUjfBAiDFEpHSFOOq10geLDSZP6zjEA685uSukINjJonqR0hNd6Zsyc0hFsNC3eOKUjvCLUEJHSEV4RaYhO6Qiv0Go+4u9UTmJ6Y+q8Le7lx8dTOoJIBOmxCCGEEEIIIYQQ4oOVOofJkobc00YIIYQQQgghhBAiFZKZNkIIIYQQQgghhPhgfbx3tJGZNkIIIYQQQgghhBCpkgzaCCGEEEIIIYQQQqRCcnmUEEIIIYQQQgghPlip6UbEiqJogXlAMSAC8FRV9abVcm+gtfnXn1VVHfum7cmgjXirqjUr0X1gJ/TRerau/ZFNq7fbLM+WMyvjA0eA0chN9TYTfaZhNBrx8ulOuSplMBqNBEycx6kjZ/lflk/wmzsGnc6eoGfP8e09lrDQsATl0Wg09JvkRZ6CuYmMjGL64Jn8efdPy/J6HnX5pm199Ho9qwPXcGzvcTJlyYTvrKHodPY8fxaMX19/wkPDqVyvEq17tQKM7N2yj81Lt6aasorRrmsrPsmSicCJ8+Odo3LNCnh6dyA6Ws+OdT+zdc2PNsuz5vyS0QG+GI1Gbl27w5RhMzEajXgO6EilGuXR6/VMHzWbK+euMnH+aD7JnAmAz7N9xqUzVxjecyz9R/emuHtRDAYDAePmcuHkpXhl02g09J3oRZ6CuYiKjGL6kADb49emLvXb1cMQrWfVrLUcNx8/n8Ah6Bx0BFsdv+qNq9GiWzMMBgO7ftjNjpU/vmHPb/ZVrUr0HNCFaL2eLWt3sHHVNpvl2XNmZeKsURiNRm5cu8UEn6kYjaarZ9OkdWT1j0uYOWEuh/Yfszzn226t+V+WTMycMC/RuSrXrIDngI7oo/VsX/czW1fvsFmeNeeXjAkcZjmW/r4zLLmy5vySacsm0rp6R8v6hUoUpO+IHnRv1jfRmVKLSuZ6HlM22+Ko56MCfMBIrHregYrmej5j1GyunLtmeU7tJl/TslNTujTsBcCAcV4Ucy9CWIipnRrUaTihwaFvzabRaBjk14+8BfMQGRHF5MHTeGhVzxt41Kdxu2/Q6/WsCFzFkV9f1puWns3IlDkTC/wWA/B1o+q09GyGXq/n9rXbTPMNtBzjhErKXAB9x/Tij1v32brStl4mVFLW80+yfML4OSPROdjz/OlzRvYZT1ho+FszaDQaBvv1J2/BPERFROE3eCoPrMqmoUd9GrdrYC6blRz+9RjpM6Zj7NwROKZx5J/H/zLB25+IFxGUq+ZOlwEd0KDh2sXrTBsWYNlOjjzZWPLjPOoXb0pkxJu/Dj0pM8Vsb/r3fvy++zBbVu4gTdo0jJ07Atf0LkRHRTO+/2SePPrnrWVlnS+pzscAjmkcmbJ2MtMGzeD+rfvxzvGxuXD5GjPmL2PFnCkpHSXZaTQaBpjbqKiISPwHT4/VRtWjobmN+j5wtU0b1cKzKZkyZ2Kh3xIAqtarTNverTEaYc+WvWxcujnRuarUrEhXcxu1bd1PbInVRmXL+SVjAoeb+nfXbjPZqo3KlvNLpi2bRKvqHQD4ItvnjJs1HI1Gw18PHjFh8BRehCf8K8er1qpEzwGdzf2WH9kUq9+SLWdWJs4aidGcKabf0te3x8s+54R5nDxyhqHj+1OgUH4APsmSieDnIbSt55mYonqZ7z30iZNCasmVWvudIsk0BtKoqlpeUZRywHSgEYCiKLmBtkBZTGNNhxRF2aKq6oXXbeyDuDxKUZSvFEX5W1GUA4qi7FcU5ZiiKF7JtO8iiqJUMf+cV1GUnxRF2W3O4G8eRXvdc1coilLnHfb9laIo62I9NllRlI6KohRXFGWU+bFHid3H29jb2zF4XD+6t+pPpya9aPZtIzL9L6PNOoPH9mWO/0I6Nu4JaKhWpwoFCuenaKnCtK3nyZAeIxk63huAzn2+Zfv6n+nYuCfXLl2naduGCc5UsU4FHBwd8GrUnyV+S+kxsptlWcbMGWnSuTH9mnjj09aXLr6d0TnoaN2rJbs37KF/s4HcvHyLem3qotVq8fTtwpA2Q/Fq2J+G7RuQLmO6VFNWjmkc8Zs7hladmiUoh529Hd5j+tCnzUC6N+tLk3YNXsnhPaYP8/2X0K2JFxqNhqq1K6EUyU/JcsXpWL87w3qOYeik/gAM7zmWHs37MbjLcEKehzBj9BzyFcxD0dKF6Vi/O6P7TmTQ+H7xzlexdgUc0ujo29ibJX7L4jh+jejfZAA+7Ybh6dMJnYOOVj1bsmfjr3g3G8jNSzep18b0Z9V9RFeGePjSr8kAmndrhkt6lwSVVQx7ezuGjutP11Z96di4By3aNbYMVMUYMq4fsyYvoH2j7mg0GqrXqWJZNsJviM2baMc0jvjPG0ubTs0TlSeGnb0dA8Z60af1ALo19YrzWA4Y04f5kxfTtXEfNBqoWqcSAPWa12bSgjFk+CSDZd32vTwYOX0IDo4O75QrNTDV8954vaGe9x/TmwX+S831HHM9z0fJcsXpVL8Hw3uOZcgkb8v6+Qvno2HreqB5uY0CRfPT12MwPZv3p2fz/vEasAGoUqcSDo4OdG/oxQK/xXiN6mlZlilzRlp0bkKPxn3x9hhKDx9PdA46HNI4MHr2MJp2bGRZ1yGNA92GdMarxQB6Nu6Ls6sLFb8un8hSS7pcGTKlZ9pKPyrVrJDoLDGSup536OPBTxt20rVxH9RLN2jctkG8csSUTbeGfZjntwivUb0syzJlzkjLzk3p3tiL/h5D6OnTFZ2Djs7eHdi9dS89m/bj+qUbNPm2AU7OaekzogeD2vvi2aAXf91/RIZM6QFwcnHCa3QvIiPfPFiT1JlidB/aBdcMrpbfG7Wtj3rhOr2a9WfX5j207dmahEiq8zFA/qL5mLlpOl/k+DxBGT42y1ZvYPTkQCIjIlM6SoqoXKcijo4O9GzoxQK/JfQe1cOyLFPmjDTr3IRejfsx0MOHbj5dLG3UyNm+NLFqo7RaLd2HeeLdegg9G3rRpEND0ieyj2dvb8fAsV70aj0Az6Z9aNquYRxtlBfzJi+mS+PeaDQavqpTGYD6zWvjt2AsGa3aqP6jerHx+210adybU0fO0rZ7wv7uYjINHdePbq360bFxT1q0axRnv2X25IV0aNQDjQaqW/qchfCo24XB3UfiM8F0DvQfGUCnpr3o2tKLkOBQxgz0S3Cm2PmSsk+cVFJLrtTa7/zQGTTJ9y8eKgG7AFRVPQaUtlp2H6ijqqpeVVUjoANevGljH8Sgjdk+VVW/UlW1GlAVGKgoSoZk2G8zoKD550nAbFVVawHlgfyYR8ySm6qq51RVHfe+95MrX07u33lAcFAw0VHRnD1+gVLlS9is41a0gGW0+dC+o5SrUoZrl67To3V/AD7P+jnBz0MAmDIqgB837kKj0fDpF58S/Dw4wZmKlCnMyQOnALh65hpKsfyWZQWKK1w+eZmoyChCg8P48+6f5HbLxbwxC/h18140Gg1ZvshMyPMQDAYDnb7qQmhwGOkypkNrpyU6KjoxxQQkfVk5ODqwff3PLA5ckcAcOXhw9yHBQSFER0Vz7sRFSpQrZrNOgSL5OXP0HABH9h/HvUppirsX4fjBkwA8fvg3dvZ2ljcaAN0GdeaHZZv59+9/+fvRP7wIj8DB0QFnF6cElVth90Ivj9/Za+Qvmu9lruIKl05esRy/h+bjN3/sy+OX+YvMhDw3vXG+c+0Ozq5OODg6oNGQ6NkHufPn4o87D3geFExUVDRnTpynVLniNusULFqAk0fOAPD7vqOUr+IOQMeebTl36gLq5RuWdR0dHdj2w88sClieqDwxcuXLyX2rY3k+rmNZVOF0zLHcdxz3yqZzwvNnwXRrYju2/eDeQwZ3GfFOmVKL2PX8/IkLb63nZaqUoph7UY7FUc/TZ0xHL5+uzBg9x/J8jUZDtlxZGTZlEIu3zaFB63rxzlfUvTDH9pv2c/nMVQoUVSzLChZ34+KpS+Z6HsqDu3+Sxy03jo4O7Nywm+9nrbasGxURRfdGXpaZEnb2du/0Zi6pcqV1TsuyGd+xa9OeRGeJkdT1fMao2fy8cbf5PJOF4KCQeOUo5l6EY/tPAKaycSv68txSsLgbF2zK5iF53XJTzL2w5TlH95+gdOVSFCldmFvXbtN3dC/mbw7k6T9PefZfEAA+UwayYPISIuL5qXpSZQKoVr8KBoPBsgzghyWbWDFrFQCfffEpIc/jV1Yxkup8DKBz0DHacyx//D+eYQOQ7YvPCZj0cbTTiVHUvQjHzW3UlVhtlFvxAlw8ddlS5x+a2ygHRwd2bdjNyllrLOsaDAa+rdqJ0OBQUx9PqyUqkX28l21UsLlfdYGSsfoIbkUVTh819e8O7ztGWas2yrNJH5t1c+fPyeF9ptkR509epIR70QRnsu63RL+236LY9Fti+pzdW/UH4Iusn/E8yLYf7tGlJUcOHOfG1VsJzmQtqfvESSW15Eqt/U4Rf4qidFMU5ZTVv26xVkkHBFn9rlcUxR5AVdUoVVX/URRFoyjKNOCsqqrX37S/D/XyKFdAD2RTFGULps9F/wU6AyUAfyASWAQ8BUab1zkD9AAqAxPN27gFdMc0Rake4ATkMW9jD9ARiFQU5QzwGOioKEowcAJoCUQrimIHLASyAZ8D21VVtZxxFUVJBywBMgBfAHNVVZ2vKMoB4G8gE/AEWKWq6k+KorgB04CprysARVG+Anqoqtra6rFJQHqgD9AcGGB+jYdUVfWJZ9nacHF1Jjj4ZcMUGhqGq6uzzToaq9HGsJAwXMzL9Xo9Xj7d8fBsgd/wGZZ17Oy0bNi3EkdHBxbOWJbgTE6uTjafduv1BrR2Wgx6A86uzjbLwkLCcDbn0dppWbx7ATpHB76faeqkGvQGKtWtSN8JfTi+7wQvwt44yPlGSV1WwUHBHP3tBA1bxf+NIoCzqzMh1mUQGoZLutg5XgaJyeHs4kzQ05dtS2hIOC7pXHj2XxAZP8mAe6VSzDS/odVH6zEaDWw4uBIXVxcmDo7/FG4nFydCn7/MZ7A6fk4utsc2PCTc5vgt+mU+Do4OrAwwvXm8o95j3s9zeRH2gkM7D9lsNyFcXGIdu5AwXNPZztqxLbNQXNI5U7ZyaXLkzsbYwZMpUeZlp+t5UDBHfjtO41b1E5UnhrOrk82bqNCQMFzekMt6+aFfj7yyvX0//cbnWT97p0ypRex6HhoaHq967uLiRNDT5zaPp8uYDq/h3QkYM9cyOAKQ1ikNG5ZtZvWi9dhptczfGMDV89e4efX22/PFqst6gx47Oy16vQEnVyfLwCO8/BsNDgrhxMFT1GtZ27LMaDTy9J+nADTv1IS0Tmk4cfBUfIroveb66/4j/rr/iHLVyiY6iyVTEtdzMLUXa/euwMHRgcUzV8Qvh4uTTZ3SGwyWsnF+pWxM9c3Z5eU5J6aOpc+UnlIVStC+lifhoeEs2DKLi6cvU6txDY7sPcbNK/F/M5RUmXIrOanVuAbDuo2hs3d7m30YDAZmr59OngK56ddmULyzQdKejy+fupKgfX+salarxMO/Hqd0jBQTu84brNooZ1dnm/N8WGgYzumcCQkK4eTB09S1aqPAVB+r1K3EgIl9Obr3eKL7eM6uznG0UW8535iX/x5HG6VeuknVWhX5ccMuqtSqRFqnNAnP5BLrHPiWfov1cr1eT1/fHrT1bMGkYS/75/Y6e1q0b0ybOp0TnCe29/H+ISmkllyptd/5oTMk45d+q6q6CNNYw+s8xzRmEUOrqqpl5FhRlDTAMiAY6MVbfEgzbaqbL4/aB6wGvIDFQG9VVb8CfgaGmNdNo6pqZWAtMAeor6pqaeAmpoGVxUBTVVWrAg8xDcwApFdV9RugIeCjqupDYAUwQ1XVE8Ag4Bjgh2mwZTmmQZJswDFVVWsD7pgGhqzlBdaZZ+jUwjSYEmOtqqpfYzroHcyPdQaWxnrdB8yDPB5xFY55lM5eVdXeQEZgLFBDVdVKwJeKotR8bcnGoc/QbizdPJdZ3021NFYAzs5Or4wuGw0v/0CcXGyXz568kBrFGtKxV1uy5vgSgOhoPU2qeDB2kD8TZ49KSCwAwoLDSOuc1vK7VqvBoDfdeio0OJS0zk42eWJOtPpoPZ2rd2Xm0AB8AodY1jm08zCtSntgr7OnZvOvE5znfZZVQvQY4smCjYFMX+6Hs4tVGTg7vfJJs8Hw8lZdMTlCQ0Jxsnqes0taS74a33zFri2/Wp5Xv0Vt/v37P5qUb0Ojcq3oNrATWT7PHK+cYSFhNvvRWB0/07KXxzatS1qb49elRjdm+gQyNGAwuQrkomx1d76t0J525duT4X8ZqFK/crwyxOjr053lm+cx5/upuLhYHTuXuMrM+tiZ3sg282hIvgK5Wb55HpWql2fAqD4UKJSPd9VzqCcLN81ixorJljc5MblC3nAsTcsTPnvtQ9JjSBfmbwxg2vJJOFsfM+e08arnIbHqn5OLEy6uzmTLlZWhk72ZMH8UufLnxHtsH16ER7BuyUYiwiMICw3n1OGz5CuYN145Q2PVZa3W9KYDTG2YU6y/0djH1ZpGo6H3yB6UqVKK4V3HxGv/yZHrXb3Peq6P1tOy6rdMGjyFsbPiN2shNCTMpu20LpvQV8rGVN9CQ0JxMp9zYs43z58GcfX8Nf578pTwsBecPXaB/IXyUqdpTRq0rsfcDTPJlDkTAWte+7lMkmeq27w2mT/LzJz1M6jfsg6tu7Wg3FdlLM/1ajmQnk36MmnRG++D+IqkPh8LEbuN0tjU+VCbZfFpow7uPESTUq2wd7CnTvMEdYXpNbQrizbNZmYcbdRbzzdvyDVz7Byq1q7Eok2zwWjk6X9Br103Ni9Lv2WK7TnQxemVWTPW/ZbYy2f5LaBa0QZ06tWWbOY+Z/kqZTh97JzNYFBCpZY+cWrNlVr7neK9OIxpQgjme9pcjFmgKIoG2AacV1W1u6qq+rdt7EMatIm5PKq6qqq1VVX9GXAD5pkHMzoDMX89qvn//wFPVVX9G0BV1SlAOKbZMOvNz6sF5DCvf878/30grmHvaqqqBqiqWgXTQE0IMBL4DyijKMpqYCbgGOt5j4HGiqKsAkZgum4tRkzWA0BBRVEymzPF3OEs5nV/ZR6cWsOrPgWKAjFDtHmBzMDP5tdYENPsoXib47+ILk17U61IPbLlzEq6DOmw19lTqlxxzp+yveHstUvXKV3BNLWwUvXynDl+DveKpRjmZ/rELjIiguioaIxGA8MnD6JMxZKAadTY+iQXX5dOXaZsddMUQbeSBbhz7e7LLOdUipQtjM5Rh7OrE9nzZueOepe+E70oXsE03T4sNByjwTSrY8bGaegcdBiNRl6EvbBpqFO6rBJqwZQl9Gjej9rFGpE1Z1bSZXDFXmdPiXLFuHj6ss261y/foGT54gBUqFaWc8cvcP7ERcpXdTddUvBlFjQaLUHmjoR75dIc2X/c8vznz4IJCw3HYDAQFhJGZGRUvD8punzyCu7VTW8W3ErEcfzc4zp+fShW3nz8QsIwGoyEBocS+SKCiBeRGAwGnv3zDNcE3tNm1uSFdGraiyqF65I9VzbSZ0iHTmdPqXIlOHfqos261y6plKlgqruVq5fn9PFzDOk5inYNutGpaS8O7TvKjHFzuGY1XTWx5vsvoXuzvtQq2pBsOb+0OZYXTtvWKfXSDUrFHMvqZTl7/LX3MPsoLJiylJ7N+1OnWGOyWpVN8Tjr+c1X6vmFExcpV7WMpZ5rNRqunLtG62od6dm8PyN6juPO9bvMHD2H7LmzsXjbXLRaLXb2dhRzL4J68Y2zVy0unrxE+eqmWSiFSrpxy2p2zpVzVynmXgQHRx3Ors7kzJed2+qd125riP8AHB0d8Ok80mYmUGIkZa539b7q+VC/AZQyt7OhIab2Pj4uvKVsituUTQ5uq3dMz6lhek75au6cO34B9eINciu5SJ8xHXZ2WgqXLMid63dpUakdvVt407uFN/89+Y/+HoOTLdPciQvxbNCL3i28+Wn9LtYt2sCxAydp38eDOs1Mb2TDwsITfE5OqvOxEDGs26iCJd24ffVlG3T13DWKWtX5HPmyc+c1bZSTixOzN86w6eMZEngJ9Tz/xXRr5kXNog1s2qiS5Yq/po0ytTsVq5fj7PHzr91u2aplmOO3kG7NvNDrDRz/7WS8M80291uqFq5H9lzWfc4ScfY5rfstZ46fx71SKYZb9zmjozGY+5zlqrhzaO/ReGeJS2rpE6fWXKm13/mxMCbjv3jYArxQFOUIpvEBb0VRBiiK0hDTTYqrAnWtJme88YaFH+rlUTFUoL2qqn8oilIR02AMvPzGr7+BDIqiZFJV9T9FUWYBq4AHQCNVVYPMBRcCZCfuY2Dg5eDWFEVRwlVV/U1V1RBFUa5jGhjqCDxTVbW7oih5gW7mEbQYA4Gj5kuiqgH1Y20fVVWNiqKsBGYBu1VVjVIUhXh6DNQGDphvfHwa08BTTfN2OvJyQCpBoqP1TBs9iwXrZqLVaNmy7kf+fvSE3Plz0qZzcyb6TGPamFmMnu6LTmfP7Rv32LNjPwC1Glbnu+0LsbPT8sPyTTz84y9WL9nAyClD6D6gM0aDkYk+b/+kMbZDOw9TqnJJZm2diUajYcqA6TTv2oyHdx9ydM8xtizbSsCmGWi1WpZNWU5URBRblm2l/+S+fNu/LQaDkcBhswkLCWPvln3M3DSd6Khobl+9w6+b9yammN5LWSWWPlpPwNg5zF4zDY1Wy451P/Pk0T/kypeDlp2a4j9sJgFj5zJ86hDsdfbcvXmPvT8ewGAwcPbEBZbtmI9Wq2HK8JmWbebIk42H915+e8MvW36lWJkiLN0+D61Wy67Ne7gXz/sQHNp1mJKVSxK4ZSYaDUwdOINmXZvy590/zcdvGwGbpqPRaFk+ZYX5+G2jv58Xxv5tMRgMzBo+m78f/s2Pq38mYPMMoiOj+PPeX/yyIXH314iO1jNldACL1gWi0WrZsnYHfz96Qp78ufDo3JzxPlOZMjqQsdOHoXPQcfvGXXbv2JeofSWEPlrPzDFzmL12Olqtlu1rfzIdy/w5TcfSd4bpWE4bgk5nz90bpmP5/4Gpns9l1pppaLQam3reolNTpgybSeDYuQybOhidTsedm/fY9+NvGAwGzp24wNIdpro7ZXjAa/dx9+Y9dm7azbIf5xMdHc3PG37h9vW78cr3285DlKlSigXbZqPRwETvKbTq1pyHd/7k0J4jbFi2hXmbTfVtkf/S136LUP7C+fimTV3OH7/IrPXTAdiwdDMHdx1KaJElaa6klNT1fN3SjQzzH4RxQEcMBiOTfeM3jf23nb/jXqUUi7bNBo2Gid7+tO7Wggd3HnJozxHWL9vM/M2z0Gq1LDCXzfLAVYwK8KGRxzc8+y+I0b0n8CL8BfP9Fltm0uzdsZ/b6t1ElU1SZXqdHet2MirAhwat66G10zLRO2HfVpRU52MhYhzceYjSVUoxb9ssNBoNfuY26sGdhxzec5RNy7YwZ3MAWq2Wxf7LXttGhYWEsXvLXuZsmkl0dDS3rt5m96ZfE5UpOlrPjDFzmLvWVJe3WbVRrTo1Y7LvdGaMncPIaUNM55sb9/j1DW3UvZt/MHHuaCIjIrl9/S6TfacnKtOU0YEsWhdg02/JnT8nHp1bMMFnKlNHBzJmui86Bx13rPottRvUYOWORabLSK36nLnyZGf7+p8TVUZx5UsNfeLUmiu19jtF0lFV1cCrV99cs/o5QddFahJ7487kFNf9W8yPl8L09Vn2mAZcumC6Z4xlXUVR6gKjMN3b5SzQF6hpfkyL6Xqz9pimLxVQVdXHfI3ZNVVVcyqKUh/TvWV6A48wDapkxHTPnNtAT0wDPmsw3WwoAtMsnBqY7puzzvzYbEz33XkGFMY0++UXc9Zr5qyfYhpsKaqq6rXX3LdmMqYDfjdmmaIoj1RV/cw8YLQL09eH1cV0fZyded1Oqqq+9ru1i35WPlVVhMz2rm9fKQU8iU59l544anVvXymZpbdL+/aVktlfkc9SOsIr0mpT77c47byQNB23pFK/2DcpHeEVOo1dSkf4IEQY3v/AT2LotB/651bJw0mT+s4xAOvObkrpCDYyaJ6kdITXemaM3+XLyaVp8cYpHeEVoYZ3m8X4PkQaEv/lGO+L1vqGL+KN9EkwQ+h9uPz4+Ed7EH1zeiTb+1m/u2uStRw/iEGb/y8URfkS+F5V1RrJvW8ZtIkfGbSJHxm0iR8ZtIk/GbT5cMmgzYdNBm3iRwZt4k8GbeJHBm0+bDJok/w+5kEb6bGkEoqiNMV08+DY06iEEEIIIYQQQgjxGsn57VHJTQZtUglVVTcDm1M6hxBCCCGEEEIIIVIHGbQRQgghhBBCCCHEB+vjnWfzYX3ltxBCCCGEEEIIIcT/GzLTRgghhBBCCCGEEB+s1Hnr56QhM22EEEIIIYQQQgghUiEZtBFCCCGEEEIIIYRIhTRG48d8yx4RX0+eBEtFEEIIIYQQQoiPVObMrpqUzvC+DMjZOtnez864uy5Zy1Fm2gghhBBCCCGEEEKkQnIjYiGEEEIIIYQQQnywPubLRmSmjRBCCCGEEEIIIUQqJDNthBBCCCGEEEII8cGSr/wWQgghhBBCCCGEEMlKZtoIIYQQQgghhBDig2X8iO9qIzNthBBCCCGEEEIIIVKhj36mjaIoPsDXgA7TpW6DgEggo6qqB99hu3WA1qqqdkzEc9cBC8y/9lBVtbXVssnANVVVVyQ2mxBCCCGEEEII8f+F3NPmA6UoSkGgIVBTVdWqgDewDGgGFEzJbEIIIYQQQgghhBBv8rHPtAkCsgOdFUXZparqOUVRGgK/AZGKopwxL++NaSaOEWgCFAaGYpqRkxtYp6rqREVR3DAN+oSa/z0FUBSlD9AUcAb+MW/DA+iMaWBsNFAA8AT+ArLEJ7yiKNOBSuZf16iqGqgoygpznl3Ws30URbkHXAOuAL+b80cBf5rX+ZgHH4UQQgghhBBC/D9lkHvafJhUVX2IaaZNReCooijXgNLACmCGqqongPxAfVVVK2Ea8KhtfnoOTDNyygFDzI9NBUapqvo1cARAURQt8AnwtaqqZTENhJUxr//UvN1LQD/zthoBDlYxqyuKciDmH6bBHhRF+QbIZX5OJcBDUZQib3i52QAPVVW9gTbAVPO+fwTSxbvQhBBCCCGEEEIIkSp81DNtFEXJCzxXVbWz+ffSwE5gLfDIvNrfwHeKooRgmg1z1Pz4RVVVo4FoRVHCzY/lB06Yfz4MuKmqalAUJRJYa95GVkyzdgBU8/95gMuqqkaYc8RsA2BfHPe0AXADfldV1QhEKYpyjFcv6dJY/fyPqqr/mn8eAPgqiuIFXAW2vqmchBBCCCGEEEKID9XHO8/mI59pAxQF5iiKEjOz5TrwDPgX0CqKkh4YC7TGdOlSOC8HQuI67leA8uafywAoilIUaKyqaivAC1OZxmwj5pKkG0AhRVHSKopiB5SIR/armC+NUhRFB1Qwb+cF8Ll5nZJW61tf/tQNGGO+j48G0+VaQgghhBBCCCGE+IB81IM2qqpuxnR/l5OKohwGfgEGA6eAPpgGPQ5jml3zO6ZBmy/esMmBwAhFUfYCZc2P3QRCzdvfg+meNTbbUFX1CTAZ0yVVOzHdD+dt2X8E7iiKchQ4BmxUVfUMsATwVhTlV+DL1zz9BPCjOednmC6REkIIIYQQQgghPjoGjMn2L7lpjMaPeSKRiK8nT4KlIgghhBBCCCHERypzZlfN29f6MHXP2SLZ3s8uvLshWcvxo55pI4QQQgghhBBCCPGh+qhvRCyEEEIIIYQQQoiPm+Htq3ywZKaNEEIIIYQQQgghRCokM22EEEIIIYQQQgjxwTJ+xF/6LTNthBBCCCGEEEIIIVIhmWkjhBBCCCGEEEKID9bHfE8bGbQRANQoUiulI9hw1OpSOkKc7DV2KR3hFVo+2m/uS1J6Y+pryh1SYX2Ksenc1pSOYKNu0XopHeEVTlqHlI7wikijPqUjvCKNNnV2NfTG1DeN2l6T+iZAp8a2E1JfG9W0eOOUjvBam1NZWWXQPEnpCK+oXLRzSkd4xeOIpykd4RWfpcmU0hHipJOLR+Lt4MO9KR1BJELq7EkJIYQQQgghhBBCxIPc00YIIYQQQgghhBBCJCuZaSOEEEIIIYQQQogPVuq8mDdpyEwbIYQQQgghhBBCiFRIZtoIIYQQQgghhBDig2VIhV8wkFRkpo0QQgghhBBCCCFEKiQzbcRbVa1Zie4DO6GP1rN17Y9sWr3dZnm2nFkZHzgCjEZuqreZ6DMNo9GIl093ylUpg9FoJGDiPE4dOctnX37KuJnDsbO3Q6PRMG7QZO7e+iPeWSrXrICndweio/XsWPczW9f8aLM8a84vGR3gi9Fo5Na1O0wZNhOj0YjngI5UqlEevV7P9FGzuXLuKhk/ycDwaUNwTe+KnZ2W0X0n8vDen7Tt3oraTb7GaDCwfNYqDuz6/bV5NBoNg/36k7dgHqIiovAbPJUHd/+0LG/oUZ/G7Rqg1+tZEbiSw78eI33GdIydOwLHNI788/hfJnj7E/EigmYdGlOvZW0wGlmzcD17dxzg295tKPeVOwAu6V34JHMmvinRLN7lpdFoGOTXj7wF8xAZEcXkwdN4aJWvgUd9Grf7xpxvFUd+PWZZ1tKzGZkyZ2KB32LLY33H9OKPW/fZunJHvDOk1kymY+dNvoJ5iIqMYtKgqTy4+9CyvJFHfRp/2xB9tJ7lgSs5/OtR0mdKzzjLsfuH8d7+RIRHAJAhU3oWbZtDu6+7EBkRSZq0aRg3bwSu6V2JjopmXD8/njz6J0H5Bvj1I0/BPERFRDJl8HSbcvrGox4NzeX0feBqjv56jCxfZMFnxiDs7Ex/X1OHzuD+rQfUaFSNFp7N0Ov13L52hxm+gRg/sk8jKtesgOeAjuij9Wxf9zNbV9vWh6w5v2RM4DBL2+DvO8NSBllzfsm0ZRNpXb2jzXNKli/OuNkj+KZ08wTnSczxi9HCsymZMmdiod8SAGo1+5o2PVoREhzKrvW/8NO6nfHaf1LV77jW/TzbZ4wK9EWj0fDowWP8hkwjIjyCb3u3oWbjGoQGh7Jq3joO/3r0rTm9J/U1lVNkFFNjlVN9j3o0bFsfvd7AysBVHN17nCxfZGHo9EHY2duBBqYPmcn92w8szxno703ws2AWmcsvMWKOX17z8fOPlatBrON35A3Hr2XXZnzTph7P/n0GwFSfmdy/9YCE0mg09J/UlzwFc5vLagZ/2pRVXRq0NWVaGbiaY3uPk+WLzAwxl5VGo2H6kJmEBIcyat5wy/PyFszDIr+l7Fj1Y1y7fWumpKjnmTJnZPS8ES8zFcrLQr/FbF+Z8EypUVLWp6r1KtO2d2uMRtizZS8bl25O9teTWly4fI0Z85exYs6UJN92Urahrbs2p2aj6gAc2XecpTO+49s+HpSP1b+rX7xpovPWqF0Vr8Hd0Efr2bB6K+tW2taLHLmyMXXOeDAaUa/dZNTgSVSuVp6e/TpbXm/pciWoXakZt67fSURZvXtfOHuerPQf08fyvEIlC+LTZQT3bt1nZICP5Xwzech0Il5EJChfSp6P33emmk1q0Kp7C/R6PT//sItt3ye+j/6h+7h6trY+2EEbRVF8gK8BHab7Dg0CIoGMqqoeTMB2vgJ6qKraOtbjmYFpQA7ADrgPDFBV9dEbttUEOG7OM0pV1V4JfE1jgEeqqi5IyPPess2cwDpVVcsl5vn29nYMHtePNnU6Ex4Wzvc7FrL/l9/575+nlnUGj+3LHP+FnDpylhH+Q6hWpwp/3v+LoqUK07aeJ19k+4zAFVNoUaM9fYZ2Y+2yjezfdZAKX5Wl77CeDOjiG68sdvZ2eI/pQ4d63QgPe8HSbXM5uPuwTRbvMX2Y77+EM0fP4TN5IFVrV+Kvh48pWa44Het359MvszBl8Xg61OtO3xE92bV5D7/u2E+pCiXImTc7QU+f09qzOU0qtCGtUxpW71n2xkGbKnUq4eDoQLeGfShU0g2vUb0Y2tnU8cyUOSMtOzelU70eODg6sHDLLE4cPE1n7w7s3rqXn9f/wre929Dk2wbs3LibJu0b0qF2VxwdHVhzYAV7dxxg5dy1rJy7FoBp301i7oSFCTp+Mfm6N/Qy5+uJT+eRlnwtOjehS72eODg6MH9LICcPnkaj1eA7dRBuJQpw4CfTa8+QKT0jAn3Injsba279kKAMqTVT1TqVcHR0oGvD3hQqWZC+o3sypFPMsctEiy7N6FS3u+nYbZ3NiYOn6OLdnt1b9vLT+l1828eDJu0asG7xRspWLUOv4d34JEsmy/Ybtf2Gaxeus2zm99RvWYd2vVozc9SceOerXKciDo4O9GroRcGSbvQe1YNhnUdZyql55yZ0rdcLB0cH5m4J4NTB03gO6cTm5ds49MthylQtTXcfT8Z5TcJzSGc61vAk4kUEo+YOp8LX5Ti8581vpj8kdvZ2DBjrRfu6XU1tw/Z5HPzlkE3bMGBMH+ZPXszpo+fw9R9I1TqVOLDzd+o1r01rz+Zk+CSDzTY//SILbbu1xF6XuNNkYo6fRqth6NSBuJUowG/mep4+Yzq6DO6EZ50ehASFMPOHqZw+dIZHDx6/cf9JVb93b90X57peI3uyZeV2dm/ZS0OP+nh0a8nBXw5Rq3ENunxjOvUt3j6HU4fPQIT+tTkrmcupd6O+FCzpRs+RPRjR5WU5NevchO7mcpq9JYBTv5+h8+CObFmxlUO/HKFM1dJ09e3CqK5jAWjQtj65C+Ti/LELiTpu1sfP0dGBnq85fs1iHb+Trzl+AEqR/EzoN5nrF2+8U6aYsurTqB9uJd3oNbI7I7qMBiBj5ow07dyEHvV64+CoY9aWAE5bymobh81l5enbhdFdx+LdYhAABUu60WVoJ35a83Oiyykp6vl/T57Sr8VAAAqVKkjXoZ35cXXiMqVGSVWftFot3Yd50rVuL8JDw1l5YBl7Nv9K0NPnKfnyUsSy1RvYsWsfadM4vpftJ1UbevCXw9RuWpMu9XtiMBhYtG02v+38nZVz1rByzhoApn3nx5wJie/629vbM2LCIBp97UF4WDgbdn7Hr7sO8M+T/yzrjBg/iOmT5nD88CkmTBtBzXrV2P3TPg7uOwJAtz4dOHXiXIIHbCDp+sLrFm+kdwtvAKp/U5Unj/7h2IGTTFw0hq0rd7B7614atKlHm+4tWBG4Kt75Uvp8/D4zAfQa2Z321bsQHhrO9/uXsXfbfkKCQhKcSaRuH+TlUYqiFAQaAjVVVa0KeAPLgGZAwSTYvgbYDGxWVfUrVVUrm7f/o6Iodm94aj8gnaqqjxI6YJNa5cqXk/t3HhAcFEx0VDRnj1+gVPkSNuu4FS3AqSNnATi07yjlqpTh2qXr9GjdH4DPs35O8HNT4zFtzCx+//UwYHqjFRkRmYAsOXhw9yHBQSFER0Vz7sRFSpQrZrNOgSL5OXP0HABH9h/HvUppirsX4fjBkwA8fvg3dvZ2ZMiUnqJlipDl88zM/WEGdZrW5PSRc4SHhfPXg0ekdUpDWqe0GAxvHrMt5l6EY/tPAHD5zFXciua3LCtY3I0Lpy4RFRlFaBouYgMAAQAASURBVHAoD+4+JK9bboq5F7Y85+j+E5SuXIqgp8/pUMsTfbSeTFkyvVIuVetW5nlQMCcOnop3eQEUdS/Msf0nLfkKFFVs8l20yfcnedxy4+jowM4Nu/l+1mrLummd07Jsxnfs2rQnQftPzZmKuRfh6IGYY3fFJkehEgW4cDKuY1eEozHHbt9xylQuBYDRaMCr1UCePwu2bOOHJRstnYpPv8xi+RuIryLuRThuLqcrZ66iWOVzK16Ai6cuv1JOc8fO5+he06cxdvZ2REREEhURRa9GfS2fSiX07+5DkCtfTu5btQ3n42obiiqcjmkb9h3HvXJpAJ4/C6ZbEy+bdR0cHfD1H8Rk3xmJzpSY4+fg6MCuDbv5ftYay7pf5PicW1duEfwsGKPRyLVzKgVLvv00l1T1+3Xr5sqfg6P7jgNw4cRFiroXIWe+HJw5eo7IiEgiIyK5f+cBed3yvLmcyhTmxAGrcir2sg0tULwAl6z2/fDuQ3K75Wb+uAUc3Wvat52dHZERUabXVaogbiXcEjVjJLaisY5fgTccv4exjt9Kq+MHkL9oPr718mDulgDa9WmT6ExFyhSylNXVM1fJb1VWbsULcOlkTKYwc1nlYt64hRyzlJWWqFh/+33H9yHAdxYGQ+K+cyOp6rm1fuP7MN03INGZUqOkqk8Gg4Fvq3YiNDiUdBnTodVqiYqKTvbXkxpk++JzAiaNePuKiZRUbejjP/+mf9shlvpsZ29PhNXf4Vd1KxMcFMyJ3xLWv7OWN38u7t25z/OgYKKiojl17Czu5UvZrFO4eEGOHzbt47e9h6hUtaxl2WdfZKFJy2+YNSVxA0dJ1ReOkSZtGjwHdmTmqNmAqf9/dL/5fHPyEsXKFElQvpQ+H7/PTAC3rt7GxdUZB0cHNBoNfGQzqRPCgDHZ/iW3D3WmTRCQHeisKMouVVXPKYrSEPgNiFQU5QyQHpgAvAD+BTqbnzcbcAccgNHmx1AUxQnYBKwCVCBIVdVtMTtUVfVXRVFuAVUURakKFACyABkBL/P+igPfK4rSDvheVdVyiqLUjCNHcWAopplBuTHNhJn4uherKIoX4IFp1tc6YD5wFSimqmqooiiDAD2wEVgEpAXCgW4JLtlYXFydCQ5++WYzNDQMV1dnm3U0mpc/h4WE4WJertfr8fLpjodnC/yGm978PPsvCICcebIzcJQX/TsNjXcWZ1dnQoJDX+4rNAyXdLGzvAwTk8XZxZmgp0EvX0NIOC7pXPgi22cEBwXTu9UAPL070KGPB0tmfsfjP/9m/YGVaO20rJj95pF8Zxcnm0x6gwE7Oy16vQFnVydCnlvnDcclnSlPqPk5tuVloHnHxngO6sj6WNOd2/fxYHTv8fEtKpt8oTb59JZ8Tq/kM5VncFAIJw6eMl2qZfbX/Uf8df8R5aqV5V2llkzOrs6EWg2kGAwG7Ozs0Ov15mP0cllYSBgu6Vxwsno85jGAEwdPx7kPg8HAnPUzyOOWm76tByUsX6xyMtiUkzOhscrJOZ2z5dPWbHmy0ntkd4Z1GYXRaOSpecZJ006NSeuUlpOvyfuhMv2tWbVTVscmhnXbYL380K9HXtnekInerJy/NkGXs72SKRHHLyQohJMHT1PHqp7fv/OQnPlzkvF/GQkLCaNkpRI2lwK9dv9JVL9ft+71yzepXKsiP2/4hcq1K5LWKQ23rt6mvVdbnJzTYu+go0jpwmx9ywCKs6ttG2rQx2pDrdv8kHBcXK3qee6s9BzZjRFdRpMpSyY6eLdnpOdoqjWo+tbyeZvYbbv18XN+y/Gra3X8APZu28+WFdsIDQlj0tKxVPi6nM3lL/Hl5OpsW6f0BrR2WgzmttN6WXhIOM6uzjy3KqseI7sz0jwzB6BCzfLcvX43XvXpdZKqnseoWLM8d6/fS9TlY6lZUtYnvd5AlbqVGDCxL0f3HudF2Itkex2pSc1qlXj4V8JnOMRXUrWh+mg9Qea+r9eonly/dMPmb669V1tG9Up4/86ai6uLzQdDoSFhuL5yDnz5c0hIGK7pXC2/d+nZnqULVhEZGZWo/SdlXxigQZt67PvxN0tbf+PyrZfnm1oVSOOUJsH5UvJ8/D4zAdxR77J453xehL/g4M+HbMpbfDw+yJk2qqo+xDTTpiJwVFGUa0BpYAUwAziJafCiqXkmzm/ACKAx8D9VVd2BaubnALgAO4D5qqquxjSQciuOXd/GdLkUQJiqqtWBdsBcVVV/As4B7TENxsTM2IkrB+btNAPKAUNe91rNs4paAZWAyubXkBvTAFPMzU08gO8xXc41S1XVr8w/T37ddt+mz9BuLN08l1nfTbVpSJ2dnV6ZMWC0mo3i5GK7fPbkhdQo1pCOvdqSNceXAJSpWJKA5f4M8xobr/vZ9BjiyYKNgUxf7oezi9PLfTk7ERxr+p/1J3MxWUJDQnGyep6zS1qCn4cQ9DSIg7tNs34O7jmCW9ECVKxejv9l+YRG5VrRoEwLvqpTmYLF3V6bLTQkzCaTVmtqcAFCg8Ns9uvknJbgIHMeZydLRus3mxtXbOWbEs0pUa4YJSsUByBnvhyEPA+xuT44vkJDwnBySRtnvrBX8jkly3TK1JIpNNi2Xmg1WvR6vTnjy2ME5roUFEJYrGP3f+ydd1wU19eHn13YRSm2/DSJFetgw469x95brDEWxF6wY0GwIVbsvSTGkthLorHF2HsvjBULGjVR6QJb3j9mWVhABURB3/vk4yfs3jsz3z1z75k7Z869E7/9JcaA74fSp9UgfJZ7J09fPDupLOwURsY4ZXHtVKZKaaaunMjkQdPMNz4qlYp+43tToUY5xvfySpaO9EzfUa4s3TKP2WumYRfXT9knbDdxfYNSHkJi/O/rryhT0Rm3Yd1ZumUembNkYupir2RrS+n5i09oUCgLvBczafkEJiway62rt803AO88fiq177fVnee9iOr1q7Bosx9Go5HXL4MIuPOQzau34bd+OsOnDOb6hZvmQP3bdYZb7F+tVln6UItjZzT7y9JVSjF5pTdTB/vy6N5jajWtQeZsmfBdO5VO/TtQt2UdGrar/147vVXXO86fYtuknT+ATSu2EvQqGF20jhMHT1O4RKEUaQoPCcPWLq7vVGGI6zvjlGW0z2geuJeuUopJcWwVQ73WdT94ClJqtXOzpjbfsTMVMqXSG6nZngCO7DlGq3LtsdZa07BtvY8j+v85qTlG0Npo8V44Dlu7jMzw8DNvFzu+i10rJzkMG9OfDTtWsHzdXMuxur0twfGucXEzx+3jlKtUKurWr8GurXtTpAFSfyzcoNV37Nzwu/nzvImLqFavCgs3zcFoJEnXwPj60vJ6/DE1FShagEp1K9K+che+r9iZLP/LQq2mNVKkSZC++SyDNpIkFQKCZVnuIctyXpTAyRIgZkGJ/5nKY7zgEaA4IAEnAWRZfiXL8nhTeU2U7JSYibGBgGMihy4MxEQZDpn2cx345i1S36YD4KosyzpZlsNQsmLeRgmUAM9B07+vTDpWAF0lSXJRZMj/ASWBMZIkHQY8ga/fsd93ssB3GT1b96d2ycbkccxNpiyZsNZYU65SaS6fu2ZR1//aLcpXUaZMVatTmQunL+FStRxjfJTMgqjISHTROoxGAxWqlmXUJHf6dnLnxmX/JGlZMn0FfdoOpkGpFuR2zE2mLA5Ya6wpU6kUV89ft6h76/ptylYuDUCV2hW5dPoKl89cpXJNF1QqFV/nyoFKpSboZRCXzlylSh1lqZ+yFUtx79Z9gl+HEPkmypzeHxIcikNm+/iSzFw5e43KdZRMj+Jli3L35j1z2Y1LNyntUhKtjQY7BzscC+fjnnxf2aausk3l2i5cOn2FvAXzmG/qddE6oiKjzMGwCtXLmdNtk8vV9+grZaEvL/fk5M9l/lw1XTl7zXz+i5ctxl3/WB3XL/pTqqIzWhttgnNXpa6yTeU6Fbl85u3rZnQd0ImGbZTBdHhYhPnmKqlcO3uNSiY7FStblHs3Y+1w85K/hZ3yFc7Lffk+ZaqUZpB3f4Z3Ho185Za5/nBfd7Q2Wsb08EzW4n3pncW+K+jdZhD1nZuTxzGXhW+4ct7ST8nXblMuxjfUqcjF04mfu3+f/Ueb6p3p3WYQvdsMIuh1MGP6eiVbW0rOX2JYWakpUqIQA1oNYUKfSeQrlJerZ68lWjcuqdW+31bXpUZ5Fk9bQb+2QzDoDZw9co4s2TJja2eLW4uB+I6azdc5s3PP/93999q561Sq4xJrpzj1/S/541wxjp0KKXYqXaUUA737M7KLh7mdb121nd6N+zGk3TDWL9zIwe2H2Ltp33vt9Dbi+qnEzp9zEs+fnYMdPx1aQUbTk+FyVctY9M3kcO3cdSqaNBWNZ6ubl/wpWbEkGhsNdg62FrYa4N2PUV08uBXvuEWci3DtnOU1NNmaUqmdx+CUCprSI6nVnmztbZm/eTYarQaj0cib8Ddf9Ctu05LUHCNMXz2ZOzfu4jtqtsUDBJca5czTTFPCrKkL6djClQpOdciXPw+Zs2RCo7HGpXI5LpyzvMbduOJPxarKs+qadatx5uQFAKSihbh7+/4HjQ1SaywMis/U2Gh4/uSFeR8uNcqzxHcF/du5YzDoOXM0ednCaX09/piawoJDiXwTSeSbSAwGA6//fY1DZodE6/5/wPgJ//vUfK7To5wBN0mSmsuyHAXcAl6jTD9SA/8CmSRJ+laW5acoQZlbKFOK2gFIkpQZ+A3wAX5HWY/mqCRJx4ETwDeSJDWTZXmXqX5DoBBKtkwNoBzwiyRJJVCCPKAsQBw3EPY2HZD0Ba5l4DrQSJZloyRJ7sAVWZYfmjJ5RqBMlwLwB2bKsnxCkiQn0/E+CJ1Oz8wJ81iycQ5qlZptG3fz/J8XFCjiSMcebZkyeiYzveYxYZYHGo01924/YP+uvwCo37wOP+1cipWVml9XbyHw4VP8Vvui0WiYPE+JlwXcecikkb5J0qLX6fHzXsD89TNRqdXs2vgHL/75l/yF8/F999b4jpmDn/dCxs4YibXGmoA7Dzi4+zAGg4GLZ66watdi1GoV08fOAcDPeyHjZo2k7Y8tCQ0OZVz/iYQEhXLj8k1W716CwWDg8tmrnP777Fs1/b3nKC41yrFsx3xQqZji7ksHt3Y8vh/Isf0n+G3VVhZvnYdarWaJ70qiIqNZPfcXPP1G06JTU16/DGJC/8m8iXjD7Rt3Wb5rIUajkVOHznDx1GUA8hXMk+y1bGL1HaNCjXIs2TEflQqmuE+nvVtbAu8/4dj+E2xatY1FW+eiUqtZZtL3sUkvmg7vOUqFGuVZtnMBKlRMHupLR7d2PA4I5Oi+E2xauYUl2+ahVqtYOm0FUZFRrPZby/i5HrTo3ITXL4Pw7Df5rfvfvXEP4+d60LxjE9RWaiYPTVo7j+HInmOUr1GORTvmgUrFNPfpfO/WlsD7gRzff5LNq7Yxf6sfarWaFb6riIqMZqB3P6y11ozxU6YdPrr3mJ1rd9OkYyOunL6K328zAdi8citH9x5PufHSGXqdnjleC5i/YRZqtZqdG35XfEMRR8U3eMxWfMPMkWg01gTcVnzDxyQl5y/R32YK9q34cwlRkdH8unRTkhYdTa32/SbiTaJ1H959hPeCcURHRXFPDmDGGD/0Oj2OhfOy6o8l6KKjmT9J8aOo3/586OieY5SvXpYF2+eiUqnwHTqDdr3aEBjwhBP7T7Jl1TbmbfFDpVaxYvpqoiKjGeDVD43GGg9TO3949xGzR/sl/yS9g7jnT6VS4WPyU49N52/Lqm0sMJ2/5e84f2EhYSyftpK5m2YRHRXN+WMXOXUoZUH4o3uOU656OeZv9zPZaqaFrbau2sa8LXNQq1WsnL6a6MhoBnj1RaOxZrSfktD76O4jZo+eS+ZsmQkPDU+xfWJIrXYOkDlbZsJSQVN6JLXaU3hoOPu2HWTBljnodDru3rzHvi0HPvGv+f9BavnQmg2rUaZSabRaLZVN07kX+Szj2vkb5C2Y563Tq5ODTqdjyvhZ/LR5MWqVmk3rt/Ps6XMKSQXo6toBzxFTmeI5C585nmi0Gu7cus+encp6gAUKOfLwwYdNR0ytsTBA3gK5efrI8p0vD+4+wmv+WKKjorknBzBzrF+y9KX19fhjanoW+Jydv+xm4ba5REdH8+TBU/b89meKNAnSN6rP9bWvkiSNBb4HQlECJb5ANDAD6I/yxqdJKIGUV0A3lKDOPKAMSsDKGyXLpY8syx0kSepoqtcQyA74AflNh3wEuMuyHGh6y1MtlHVk7ID+siyflyRpsmlbN2CRaU2b7xLRUYI4b6ySJOkfWZa/Me23OxATXg6RZbm2JEkjUKZF2QBngIGyLOslSeoETAQKmwI6BVACOBlQMocGA09JwtujnL+pnK4ago1ak9YSEsVa9a51qNMGNar3VxKgN6a/RS216bA9xbDl0va0lmBBI+fGaS0hAbZqbVpLSECU8e1vakorMqjT5/MhfToc/1ir0l8CdHr0nZD+fFTr0i3TWsJb2ZrObJVF9eL9lT4x1Z17pLWEBDyLfPX+Sp+YbzJke3+lNEDzeU4eSROOBB78Ym8c2udr+cku7L8+2P5J7fjZBm3Sko/xau60RgRtkoYI2ny+pMcbDxG0SToiaJM0RNAm6YigTdJIj74T0p+PEkGbpCOCNklDBG2SjgjaJB0RtEkdPnXQJn2OpAQCgUAgEAgEAoFAIBAIkkBavIr7UyGCNilAlmWvtNYgEAgEAoFAIBAIBAKB4MtGBG0EAoFAIBAIBAKBQCAQfLakxVudPhViAqBAIBAIBAKBQCAQCAQCQTpEZNoIBAKBQCAQCAQCgUAg+GxJn8vmpw4i00YgEAgEAoFAIBAIBAKBIB0iMm0EAoFAIBAIBAKBQCAQfLYYjV/umjYiaCMA4KRbvrSWYEHmaUfTWkKi1MxRPK0lJOClLiytJSTA1somrSUkQGfUp7WEBGhVVmkt4bPBOh3aKkgfkdYSEqA3pr/kYJ1Rk9YSEuVFVFBaS0iAg7VtWktIQDebQmkt4bMgzBCZ1hI+G6o790hrCQk4emVVWktIQOniHdNaQgL2NUt/4zuA6zvTn+/MYv8mrSUIviBE0EYgEAgEAoFAIBAIBALBZ4tBvD1KIBAIBAKBQCAQCAQCgUDwKRGZNgKBQCAQCAQCgUAgEAg+W9LfBPHUQ2TaCAQCgUAgEAgEAoFAIBCkQ0TQRiAQCAQCgUAgEAgEAoEgHSKmRwkEAoFAIBAIBAKBQCD4bDF+wQsRi6CNIOmoVGib9kD9TT7Q6YjcsRTjy2fmYqvCpdHUagMqFYYn94javQpsMmLz/WBU2gygiyZyywKMoan7mtWmTeoxduwQ9Do9q9dsZOWq9YnWmzXDC/nWXZYtX0upUsWZPdPLXFaxYlnatO3Jn/sOp1iHSqVi8NSBFCxWgKioaGaNmMOTgCfm8sadGtG0cxP0ej3r5q7n1MHTZMuRDY95o9BorAl+HYLPIF8iwmJfI+zuO4SQ18Gs8EmdV1HWqFcVt2Hd0ev0bN+wm23rdlmU53HMhffcsRiNcFe+h8/oWRiNRoZ49qeMizNW1lZsWbsjwXbvQ6VSMdxnMIWKFSQqMpppI2YSGMc2zTo1oWWXpuj1etbM/YUTB06ROWsmvBaOwyaDln+f/ccU9+lEvomkc78O1GtZh7CQcNYt3siJA6fM+yldyRnP+WNoXaFDiuxTvV4VXId2Q6/Ts3PjH2yP9ztzO+bCa+4YjEYjd/3v4+sxG6PRaC6buWoKHep0M9cvXqYYg8b1oXebQcnWolKpGOozmILFChIdGcX0EbMsbNa0U2Oam2z289x1nDxwihw5czB69nCsrKxQqVTMGDWbR3cfU7dFbdq5tkGv13PP/z6zPeaadX/uVKtXmR7uP6LX6dm98Q92rP/dojy3Yy7G+43GaDRyz/8+M8b4YTQa6Tn0R6rUrYRer8fPcwE3Lvmbtxns1Z+Hdx+xbe1OANRqNZOXTGDn+t85dfhMkrXVrFcVt2E9zP1t67qdFuV5HHMxae44jEYjd+R7TDX1N3fP/pRxKWXub1vX7eSbXF8zZYEnKlQEvQ7Go98E3kQk/xXDNetXo+/QHuj0erZt2M2WX3bE05SbKfPGK5r87zF59AyMRiODPPpQqUYFjEYjfpMXcfbEBUZNGoJT8SIAfJUjGyHBoXRu7JpsTZC6fe+rHF8xacF4NFprgl8FM37AJMLDkv969roNajJ4RG/0Oj2/rtvOxrVbLMrz5c/DrAWTMBpB9r/D+BFTqFG7Cn0HK68zVqlUVKhUhvrVWqPVapkyazx6nY77dx8wcrBXivpgap6/GMpXLsO0hV58V7ZFsvVYoFLx3ZRu5CiaF32Ujj9HruD1g9gxQrmeDXFqXgmAe39d5qTfNnNZtoLf0nmHN4vK9UcfGf1hOtIxNepVpZepne/Y+Hui12CvuWPBdP6mxWnneRxzMXPVVNrX+RGAnHm+ZeK8sahUKp4+/ofJI6anyCekB1QqFSN83ClcrCDRUdFMHT6DxwGB5vIWnZrQ8ofmyjhv7lqOHzhJ5myZmbhwHDYZbPj32b9McvclMiKSDr3aUq9FHQBOHDrNytk/8cOATlSu5QKAfWZ7vsqejSalW3+U33Lluj+zF69izYLpH2X/calVvxp9h/Y0+YNdbI7nD/I65mbKPE+MRiO3/e+a/QFAhow2rNu9gjmTF3Lsr9hx1A9uHfhfjmzMmbzow8SpVNh0HIBV7gIYddG8WTsH44un5mKr4uWxadIZVCr0D28TuWEhaG3I0HM0Klt70Ol489NMjK//+zAd79CX38cN22KOGKOiuTt8EZEB/ySo47R2LC//PMPztfs+jg7Tcb726k8Gp/wYo6J5OnYu0Q+fJqiTe7k3oQdO8XrjH6BWk8OjFxlKFEal1fDv/HWEJWN8Ivj8SNfToyRJmiVJ0mFJkvwlSXpo+ntTIvVKSpJU4x37qSVJ0kZJkn6QJGlRnO+XSpJ0Nc7nbpIk+SVR2xpJkhrG+260JEkuSfpxsdsMkCRpb7zvtkiS1Dc5+/kUWDmVB2stb5Z7ErV/PdoGP8QWajOgrd+ZN+um82bZOIyvX4CtA9ZlamF49pA3K73QXTuJpmqzVNVkbW3NzBkTaNS4E7XrtsHVtTM5cvzPos7//peN3TvX0rRpPfN3ly9fp269dtSt145FS35i67Y/PihgA1C1YRW0NloGthjCCp+V9BnvZi7Lmj0rrXq0ZHArd0Z39qCnRw80Wg0d+n3Pvk37GdJmGHeu36Vxx0bmbZp2bkIBJ8cP0hQXa2srhk0cRN/27vRs1Z82P7Qg2/+yWtQZ5j2Ihb7L6dmyHypU1GpYnfJVy5LHMRc/Nu1N9+Z96TagCw6ZHZJ17BoNq6G10dK7+UCW+CxnoGds886WPSvterSiT8tBuHcaRZ/Rrmi0Grq7d2X/9oP0az2EW9fu0PKHZhRwyk+9VnVxa9Yf904jcB3eHZsMNgDkyJmdDm7tsLZOWSzaytqKod4DGdBhKG6tB9KqS7ME9hnqNYDF05bTq+UAVCqo2bAaAI3bNmDqEi+yfJXFXLdrv06MnzUSrY02RXqqN6yK1kZLv+YDWeqzgv6efcxl2bJnpW2PVvRvOZjhnUbTe3RPNFoNriO7s3X1Dga3G8ba+evpPdoVbQYtriN7MLjdMPq3HIydgx1VvquUIk3pDStrKwZ7DWBwx+H0bTOYFomcs8Fe/Vjqu5I+rQaBSkWNBlWRShamTKVS9GzSl/F9JzJ86hAAsmTLzJxffKlev4p5+1z5crJk21yKlpaSpc3a2orhEwfTp/0QerTql2h/G+49iAW+y+hu6m+1G1anQtWy5HXMTdembnRr3ofupv7Wxa09f+44SI9W/bgr36dVp+T7UmtrK0ZNHIxb+8F0a9mXdl1a8FX2bBZ1Rk4czPxpS/mxRR9UKqjTsAZOJYrgXK44nRr1ZETv8Yye7A6A73g/urfuR6/vBxIaEobXMJ9ka4LU73s/DujE75v20KvlAORrt2nZOSW2ssZz8gi6tOnN98260+nHNvwvnq3GTxrBzKkLaNe0GyqgfuPa/H3oOB1a9KRDi54c2neExfNWc+fWfQaP7MO8GUto26QbWq2WOvXfOmR5h6bUPX8A3+TMQdc+HbHWfPgzvMINymFto2F9K2+OTNtIrfGdzGWZ82anaKsqrG/lzboWXjjWKMn/nPIAoLXPSK1xndFHfbnBGjBdg70H0q/DUFxbD6B1l+aJtPOBLJq2nJ4t+6NSKddggCZtG+CzxJuscdr5EM9+bP55Bz1b9ufciYt07p2yhxXpgZoNq2Fjo6VX8/4snLqMQRPijhGy0a5nG9xaDGBwpxH09eiFRquhp3tX9m07SJ9Wg5Cv3aFVl2bkzPstDVrXo1fzAfRs2o+KNctTqGgB1i5YT7+2Q+jXdgjPn7zAe/DUj/I7Vq3bxIRpc4mKjPoo+4+L4g+G0Kv9ILq17EO7Li0T9Qfzpi2ha4veqFQq6jSM9TvjfEZaBI5tMtjgu8ibjt3bpo6+UlVQabSET3cnctsqbNrGjomxyYhNa1ciFk4g3HcIxv+eobLPjKZaIwwPbhMxawTRZw6hrd8uVbQkRtaGLqhtNFxv7sHDqb+Qb0K3BHXyjOqEVWb7j6YhBvt6lVHbaHjQfhjPZ64mx+iEDz/+594Vq0yxWjK3qIPK2oqHHYcT2G8i2nzffnSdnwMGjJ/s36cmXQdtZFkeJstyLWAasF6W5VqyLCfWg9sAxZKwywNAtTifKwDPJUnKZ/pcG9ibYKuk650my3Jyw5wLAStJknoCSJLUAdDIsrw4pTo+Flb5nNDfvgSA4fEd1LkKxJblLYLh2UO0DbqQoaeXkk0THoLh2UNU2oxKJZuMGA36VNVUtGhh7t4N4PXrIKKjozlx/CzVq1vekNrb2zFx0mzWrd+SYHtb24xM8ByG+1DPD9ZSskIJzh4+B8DNC/5IpYqYy5xKS1w/e53oqGjCQsJ5EvCEAkXzs8hrCQe2HkSlUpEjZ3ZCg0MBKFauGE5lJHb/8nuix0oJ+Qs78uj+Y0KCQtBF67h4+gplK5e2qFPUWeL8iYsAHD90koo1ynPl3DW83JWbMaPRiJWVGl20LlnHdnYpwam/zgJw/cJNnJxjb4CLlS7K1XPXTLYJ43HAEwoWLYCzS0lO/aV0p1N/naZ89bI4Fs7LxROXiIqMJioymsf3H1OoWAG0NhpGTHNn5pi5KTWPYp+AQEKCQtFF67h85iplKpWyqOPkLHH+5CVAeYLnUr08AMGvQ3BrNdCi7uMHgYzoOS7Fekq6lOS0yWY3LtxEimOzoqWduHruegKbLfRezMmDyhMzK2srIiOjiI6Mpl+LQUS+iTR//ykGlJ+C/IXz8TjeOStdydmijlSyCBdM5+zkX6epUKMcpVxKcvqI0lefBT7HytqKLNkyk9EuIytmrWHvlv3m7TPaZWTqsBlcOH4pmdri97fLlIvX34o5O3HO1N+OHTpFxRoVuHzuGp7uyg1F3P4mX79NJlOw1N7BNtl9EKBAkfw8vP+YYJOmC2cuU65SfE2SOQvj6KGTVKpRAf9rt+jdfggAOXN/Q3BQiMU2nXp+z4nDp7l9826yNUHq973ZnvP5Y/M+VCoVX+fMQUhQaLI1FSqSn4D7jwgOCiE6WsfZUxdxqVzOok7J0kU5dVxpR4cPHqNazdhrzzc5v6bV902ZO125lF+/4k+WrJkBsLO3SxfnT2ujxXP6KCaPmpFsLYmRq4LE/cNXAHh68S5fO+c3l4U8ecmWH6ZjNCgDXbW1lTmjpv60Hhyd/hvREV+GX3obse1cOX+XzlyhbLzzV9RZ4vzJmGvwKSrGaeeurQZY1C1QxJHjhxR/f/nsVcq4WPq+z4lSLiU5acoSuH7hhsUYoXgZJ66cjTtGCKRQ0QLKNqYxwslDp6lQvRzPnjxnSOeRGAzKO2SsrK2JjHO9q9WoOiFBIZz5+9xH+R15cn6L39SUX/eTQ1x/EP1Wf+Bk4Q8q11CeK3fr25lL564gX79trmtjo2XHr3+wzG91quizKlQc3XXFzob7/ljlKxxbVrAYhicB2LTtRcZhMzEEv8YYGkT0oe1E7dkIgDprdozhyffdSSWTS1FeH1b6WuiFW9g7F7Qoz9akMkaDgSBTnY+JbbnihB49D8CbyzIZSha2KHdoUBUMRsJMdQDsqpdF9+w/ci/z4pvJgwg9dPqj6xSkLZ/V9ChJkjTAaqAAYAXMBo4B3YAoSZIuAHmB/oAGMAKtYraXZfmpJElGSZKyAbkAf+AC0ARYBLgAfSRJcgRWodjHCAySZfmyJEkPTNvciKOpIjAPaAdMBDYC3wCNAVugIOAry/IaUxbOQiAEeA68kWW5myRJPYCjkiSdBMYCdUy/dQlQGCW4Nk6W5cOSJLVN5PeVAHyBKGAZ4IQSgLIGtsiy7PsBZo/FJiNExkkxNxhArVb+b+uAOn9x3iwehTHqDRl6eqF/dBvCQ7Aq5EzGATMhoz1vVnqlipQYMjnYExQcewMREhpK5kyWWSABAY8ICHhEw4a1E2zfo3tHtmzZzX//vfpgLbYOtoSFhJk/6/UG1FZqDHoDdg52FmXhoeHYOdgBoLZSs3zfEjQ2Wn6e8wvZcmSjq3sXJrh6U6tZ8p/Gvg07BztC42oIC8fBwfIJgkqlMv8dFhqOvYM9UZFRREVGYW1txaR549i6dicR4cmbamBnH882Bj1WVmr0egO2DraEBlvqss9kh529rVlveGgEdg523L15nx8GdMLWLiPWWg0lyhdnx7rdDJ08iA1LfuPff/5Nli4LjQ625qCZ+fdneo99TOXHDpxIsL9Dv//Nt7m/SbmeeDYzWNjMjrB4NrPLZEfQq2AA8hTMTf/xvRnTU0mLfvWv0r5bd29JRtuMnD1yni8BpV/FnjOl7bz9nIWb2rSdvR1Br4Isv89kz+OAQJ4++ofKdSqay+7cSFkgwt7BjtD42uL1N2KlER6q9Me4/W3yvPFsXruDiPAInj15zuCxfWncuh4arZbFM1cmW5OdvaUPCAsNx+E9bTymXK/XM8ijD51d2zF1zGxzHWuNNe26tqRjwx7J1mPWlcp9DxS/uuHgGrQ2WpbPWZNsTfYO9oTEubaEhYaRKd615W22AujV9wdWLllLlCl7JODeQyZNH8OAYW6EBIdy6vjZZGtK7fM31mc4qxev4/k/L5KtJTG09hmJCgk3fzbqDais1Bj1Bgw6PRGvlHNcc2xHnl9/wKv7/1DFvTX3Dl3ixc2HqaIhPWPnYJdIO7ezqJPAX5nKjybSzuVrd6hZvyq7N+2lRv1qZLTN8JGUf3zsHOwIi2Mbg8GAlZUVer0eO/t4ft7U/23jfB/znV6nJ+il4tsHevbl1rXbPLr32Lxt14Gd8ew36aP9jnq1qxH49Nn7K6YC9vZ2hIRYtqd3+YPw0DDsM9lRsXp58hXIg/eIaZSpEBvoCw4K4cTfp2nZvknqCMxgizEi1l/FvWdQ2WfCqogz4VP6Y4yMwHbYTPT3bmJ8HghGAxmHTEOdy5GIuWNSR0siWDnYog+O468MBrBSg95ARikv/2tVnVu9ZpB76PcfTUMMantbDHF8J/pYLdrC+cjUrBaBA6fyvwGx2YtWWTOjyZeTx25eZKxQgm+nDeVh55EfXWt650uZ+p8Yn1XQBugNvJBluYskSQ4oAZfKwBrgH1mWz0iS9B3QRJblcEmSlgINgMA4+zgIVAWKAntM+5gmSdIe4IEsyxGSJM0E5sqyvEOSpNLASqA8kAcoK8vyf5IkrQGqAHWBZrIsP5cki/T5zLIsN5AkqTCwy6RxCfCDLMvXJUmaghI4QpblR5IkeQIngQ6yLL8wTY/6V5blnpIkfQUcAYoDRd7y+zLIslwRQJKkAKAW8BQloJU6REaANs6gQKVSnDBAeCiGJ3fN69UYAvxRf5MP65JViD62E925g6i+zkuGDu5ELBr1wVImeo+kapUKlCxZlDNnYqPgDvb2vA4KTvJ+OnVsxfcden+wHoDwkHAy2mU0f1arVRj0in3CQsLIaGdrLrO1j71J0ev09KjTi7LVyjB67kiO/nGMzNkyM3XtZLJlz4ZNRhse3XnEn5v2kxL6jepFmYrOFC5aiGsXr8dqsLO1uCkBzE+nQAkahJg0OmR2YMaKyZw/cZFV89cmW0NYaDi29nFtowQfQLGbrX0c29jZEhoUqmxjZ0vUmyhs7TMSGhzKgzsP2bJ6O7PW+fIs8Dk3Lt5Er9NTqqIzuRxz0d29K5myOOC9aBwT+k1Okra+o1wp7eJMoaIFuXbRHI9VgkbxntDHt09ovIyD1CS+zVQWNgsjY5yyGJsBlKlSmqFTBzF50DQe3VUGqyqVir7j3MhTIDfje3l9NM2fit4je1LKpSQFixbgxsWb5u9t7WwTZFXEPNkHpd+FBIcSFhpm2ebitPUPpf8oN8pUdKZI0UJcTdDf3qdNaU8OmR2YtWIK505cMPe3oZ4D8Bw8hROHT1P9uypMnu/JwC7Dk6Rp4OjelHUpRZFiBblywbKNx8+aMcTRFL98ns8SVsz7mfV/rODCqUs8ehBI5RoVOH/qkkUwIal8zL6n1+n5vuYPuFQvh/e8cfRuPfCd9WMYPmYA5SuWoWjxIlw6b549jZ29XZJtpVKpqFO/BtOnzDeXT5g6irZNunFbvkvXnu0ZN2k440cmbYrGxzh/D+89omzFUuR1zA3DIHOWTMxYOokRvccnSVNiRIVGoI3ns4z62PNmZaOh4YxeRIW94cBY5Wl+0VZVCX36kpLta2GXPTNtfxnFr+2S5rs/F/qN6kVpF2cKJ9LO4/uruO3cNpHyuMzxXsCoqe4079CE4wdP8upl6q4X+CkJC7H0yWqVGr1eycwOCw3DNt74KSQolHDT95FvoixspbXRMnb2SMJDw5nh4WfezrFwPkKDQy3WyvkcGTS6N2VcSiEVK8SVC7HXmMTbU9xrjB0hQaG06dScnLm/YfXWRRQo7EhRZ4l/n/+Hf5ysm1ThTTiqDLH+IO49gzE0GMODWxiDlQdK+jvXsMpTAN1z5dxE+I1G/XVuMg6YSNj4lD8QeBf6kHDU9nH1KUESgOztaqL9JhvFNnljkycHhigdkY9efLSsG0NoOOo49w+oY7VkblkX66//R96ffdDk+hpjtI7owGfoXwcTZso0izh7Da1jzo+iTZB+SNfToxKhKErwAlmWQ1AyXgrGq/Mc+EmSpNWAM0pGSlz2A9VRgh17ZVm+DuRGCXLETI2Ke5xLKMEaUIIocVfEqg9kARKbiH3J9P9HQEykI6fpeABH41aWZflnIEKW5T2mr0oCjSVJOgxsAawlSfrfO36fHGd3nVGmlP1p0pcq6B/KWBUpA4A6dyEMzx/Flj29jzpHHrB1ALUadZ7CGF48xhgRhvGNKXocFgQ2tontOtl4TphO3XrtyJm7NAUL5idr1ixoNBqqVa/IqVNJyyLIlMkBrY0Njx8/eX/lJHDt3HUq1lFST4uWdeK+f4C5zP+STMmKJdDYaLBzsCVvobzclwMYNGUgpaso0wDCwyIwGgxsW7Wdvo37M6zdCDYu3Mih7YdSHLABWOS7nF6tB/JdyabkccxNpiwOWGusKVupFJfPXbOo63/tFuWqKOe4ap3KXDx9GZsMWpZumsuODb+n6Ik1wNWz18zZC8XLFuXuzXvmshuXblLKpSRaGw12DnY4Fs7LPfk+V89eo0pdZZtKtSty+fRVsmTLjK29LX1bDmLG6Dnk+DYHV85co2ONHxnYbigD2w0l+HVIkgM2AIt9V9C7zSDqOzcnj2Mus33KVCrFlfOW9pGv3TZPcalSpyIXT19JkT2SwrWz16hkslmxskW5d/O+uezmJX8Lm+UrnJf78n3KVCnNIO/+DO88GvnKLXP94b7uaG20jOnhaZ4m9TmzdPpK+rUdQuNSrchtcc6cuXb+ukXdW9dvm6cBVq5dkcunr3D5zDUq1qygTJ/JlQO1SmV+OvuhLPRdhmvrAdQp2cSiv5WrVJor565a1PW/dovypv5WrU4lLpj62/JN89i+YTfL4vS34KAQc9DnxT//mqdKJYX505bSvXU/apZoTN78ucmUJZNJU5lEfUCFKmUBqF6nMhdOX8alWjnG+igBoqjISHQ6HQajMqCsVMOFYwdPJs9IJj5W3xvlM9Tsx8JCFb+aVGZOXUCHFj0p51SbfPnzkDlLJjQaaypWLsf5c5ct6l6/4k+lqsr0lVp1q3HmpDINQSpaiLu3Ayz62uvXQebMq2f/vCBz5kxJ1vQxzt/zZy9oVrU93Vv3o3vrfgS9Dv6ggA1A4Llb5K+tXM++LVOQf/0fWZS3XOHOi5sP2e+xyhywXFljGL+2n8Kv7acQ9iKIzV1SJzE4PbHIdzlubQZSz7mZRTsvW6n0W9p5zDW4EhdPX05slwBUrFmBBT5LcWszEL3ewOm/k5+9lV64cvYaVeoo0wuLly3GXf/YMcL1i/6UquiM1kZrGiPk4558X9mmrrJN5ToVuXxG8QnTV0/mzo27+I6abREEc6lRjpNfwBSSeSZ/UKNEI/LG8VHlKpXhUoJrjGzhD86fvsTIvp50aeZG99b9OHboJLMnLkj9gA2gv3sd6xLKmFid3wlDYIC5zPDoDuqcjqjsMoFajVV+JwxPH6Jt0B7rinUBMEa+iX0w/BEIOetP1jqKbezLFiHC/4G57OHktVxrOpobbT158dtfPF2286NOk4o4fwP7msq1JEMpichbAeayFzNW8aCdOw9/GE3QtgO8XL2NsKPnCT9/HTvTNjZO+Yl+mjoZk587hk/471PzuWXa3EQJuGwzZdqUBO6j2E4tSVJmwBtlihQoARpVvH0cAcYAyLIc08LPAD2BmJWfYo6z05RpE7OcePxz5IUS8FkEdIxXllh+1iNJkorJsnwDeN9KoP7AY1mWp0qSlBFl2lT0O36fAUCSJBuUqVoxem5IkrRRluVYb5RC9DfPYlWwJBlcJ4IKIrctwbpKY4z/PUMvnydq/wYydPVQ6l47hfH5Y6IP/Ya2hRsal/pgZUXkzmUfKsMCnU7HiJHe/PH7OtRqNWvWbOTJk38oWrQw/fp2Z+Cgt6dWFilcgAcPHr21PLkc23OcctXLMm/7HFQqFdOHzqJtrzYEBgRycv8ptq3ajt+W2ajValZNX010ZDTbVm1nyLRB/DCkMwaDkblj5r//QClEp9Mza8J8Fm1U9O3Y+Dsv/vmXAkUcad+jDT6jZzHbawGes0ah0Wi4dzuAA7v+oqNrO3Lny0nrLs1o3UVZ0HPCkKk8ib+y/Tv4e88xKtQox5Id81GpYIr7dNq7tSXw/hOO7T/BplXbWLR1Liq1mmW+K4mKjGbN3F8Y5zeKZp2aEPQyCK/+U3gT8YZ8hfOy4vdFREfrWDh5qcWg7EPQ6/TM8VrA/A2zUKvV7Nyg2Cd/EUe+794aX4/Z+HkvZOzMkWg01gTcfsDB3YdT5diJcWTPMcrXKMeiHfNApWKa+3S+d2tL4P1Aju8/yeZV25i/1Q+1Ws0K31VERUYz0Lsf1lprxvgp2WyP7j1m59rdNOnYiCunr+L320wANq/cytG9xz+a9k+FXqdnrvdC/NbPQK1WsWvjHl788y+OhfPRrnsrZozxY673IjxmDEej0RBw5wGHdv+NwWDg8pmrrNi1EJVazcyxKV8L6W0o/W0eizf6oVap2L5xN89N/a1Dj7ZMHT2TWV7z8Zw1Go1Gw/3bAezf9RedXNuRK19OWndpTusuzQGYMGQK08bOxmPqMNRWalSo8PGYlSJN0yfMZdlGP1RqNds27OL5Py8oUMSRTj3aMXn0DGZMmIvXLA80WkXTvl2HAGjQrC5rdy1Tph2t3kKgqf/nL5iXnb/98UG2Su2+t3HlZsb4Dsc4tBsGg5FpHrPfWvdt6HQ6Jo2fydrNS1Cr1Py2fhvPnj6nsFSAH107Mm7EFCZ7zmTanAlotRru3LrHHzuV4HqBQo48fPDYYn+jBnuxYMV0dDo90dHRjB7inQJNqX/+UpPbe8+Rr3oJOm71RKVSsXf4Msq5NuL1g2eo1GryVHTCWqshfy0lsHPE91eeXriT6jrSKzqdntleC1i4QRkH7IjTztt3b8M0j1nM9l7A+JkjTT7hAQfe0c4f3HnIlIUTiIqM4t6tAKalwCekFw7vOUqFGuVZtnMBKlRMHupLR7d2PA4I5Oi+E2xauYUl2+ahVqtYOm0FUZFRrPZby/i5HrTo3ITXL4Pw7DeZmg2rUaZSabRaLZVrKw89Fvks49r5G+QtmIczX8jUYIjxB34s2zjXwh8ULJKfTj3aMmn0DKZPmIv3rDFotMqYLsYffBJ9l05gVbQstiNmg0rFm59moanbGsOLJ+ivnCJy+2oyDpqi1D1/BMOTB0SHBJGh23A0VRuASs2bn5Pvu5PKyz2nyVyjFMV3TgVU3B26gG/cmhEZ8A+v9n3aAGjI/hPYVi1D3o0zlbfBecwha/dWRD948ta1aoJ+3UsG7wHk+02x7z+eCz6pZsGnR/U5zP2SJKkbyjotnsBylOyajMA8WZZ/kiSpCTADZa2XvoAjoANeASeA40AfWZY7mPZ3CDgiy7KX6XNLYI4sy/lNnx1Nx7FByWQZKMvyOUmS/pFl+RtTnTXARlmW90qS9CfwE0rmTcyaNk6yLI+WJCkD4C/LsqMkSRWA+UAoyvozgbIs94rzO+Pu38akIR+QCSUwtAL4NQm/zxNlnZ4I4DIwRJbld57oMM8O6aohZJ529P2V0oCaOYqntYQEvNQlf1rCx8bWyiatJSQg0pD+3kxiq07Zm6U+BVsubU9rCRY0K5W6b55LDSIM6W/hVL0xLZ7/vJsM6vgJr+mDF1HpbzqJg3XqZKOmJt1sCqW1hET58Xz6el9DA+dG76+URvx5Zc/7K31C0qM/P3plVVpLSEDp4vGfB6c9p1plfX+lNOD6zvTnO7PYv0lrCYnidOuP+AkNXwz18zT8ZPez+x7t/aR2/CwybWRZXhPn44+JlP8OxLxm56+37OZwnPp14m2/Hdge53MAUI94xARUTH93i/N3A9Of6xPZ5g1KkAWUhY6bmdasmYwSuHnb/iOBron8jretiHU4zrYTURZFFggEAoFAIBAIBAKBQPCZ8lkEbb4gngH7JEkKBYJIJAAlEAgEAoFAIBAIBAKBIOkYEl2d5MtABG0+IbIsbwY2p7UOgUAgEAgEAoFAIBAIBOkfEbQRCAQCgUAgEAgEAoFA8NnyOazVm1I+t1d+CwQCgUAgEAgEAoFAIBD8v0Bk2ggEAoFAIBAIBAKBQCD4bPmS17QRmTYCgUAgEAgEAoFAIBAIBOkQkWkjAKDKsodpLcGCQllyprWERPknOiitJSQgm7V9WktIwBtjdFpLSICNWpPWEhIQon+T1hI+G/QY0lpCAozp8ImOWqVKawkJyJ4OfRRARrU2rSUkwD4davo56m5aS0iU9Pb6zSiDLq0lfDY8i3yV1hISULp4x7SWkIBL1zektYQEVHHultYSEiWDKv2NOyNCotJaQqKcS2sBH5H0OC5LLUSmjUAgEAgEAoFAIBAIBAJBOkQEbQQCgUAgEAgEAoFAIBAI0iFiepRAIBAIBAKBQCAQCASCzxaDeOW3QCAQCAQCgUAgEAgEAoHgUyIybQQCgUAgEAgEAoFAIBB8tny5eTYi00YgEAgEAoFAIBAIBAKBIF0iMm0EAoFAIBAIBAKBQCAQfLYYvuBcGxG0EbyXmvWq4jasB3qdnu0bdrN13U6L8jyOuZg0dxxGo5E78j2mjp6F0WjE3bM/ZVxKYWVtxZa1O9i6bicjJg5GKlEYgP9l/4qQ4BB+aOKWIl2161en3zBX9HodW9bvYtMv2y3K8+bPjc+8CRiNRm7732XiqOkYTQtUZchow4bfVzFr0gKO/XWSXHlzMm3+BFQqFU8e/4PnsCm8iYhMtqZa9avRd2hPdHo92zbsYvMvOyw1OeZmyjxPs6bJo2dYaFq3ewVzJi/k2F+n+DbX10zyG4eVlRUqlQqv4T4E3H2YLD0qlYqhPoMpVKwg0ZFR+I6YRWDAE3N5s06Nad6lKXq9np/nruPEgVPmsnaurcmWPRtLfVYAULNxdTr374DRCPu3HWTzyq3Jtk8M1etVwdX9R3Q6Pbs2/sH29bstynM75mKCnwdGo5G7/veZPmYORqMR16HdqFa3Mnq9nlme87lx6SZSySJ4TBtGVFQUt67fYdb4eWabpgSVSsVwk82iIqOZNmJmPJs1oaXJZmvm/mJhs+9d25AtezaW+CxP8fHjU6NeVdyGdTf3v23rdlmU53HMhffcsRiNcFe+h4+p/w3x7E8ZF2dz/9u2bhff5PoarzkeWFkrbWrS8Ok8SGab+hxIafuKKZuxcgod63ZLVU0161Wjd5zzuCWBH83NpLnjwORHp4yeidFoZODo3lSqUQGj0YjflEWcO3Ex3ej4X46v8FnohUZjTdDrYDz6exMeFp4sPSqViv5T+lOgWAGio6LxG+nH04Cn5vKGHRvSqEsjDDoDG+Zt4MzBM9hnsWfF3yt4ID8A4MTeE+xYtYOWri2p2bwmAGcPnWW93/oU2ym9+s64+lLLbh9Karapb3J9zcQ5Y80+auLwacm+7qVnatavRt+hPUxjhN1siTdGyOOYmynzxivjKf975jHCII8+sbaavIizJy4watIQnIoXAeCrHNkICQ6lc2PXtPhZH5W6DWoycIQbep2eTeu2s3GtZf/Jlz8PMxZMAqMR2f8OniOmUr12ZfoO7gEofaV8pTI0qNaGu7fup1hHao7vYvjBrQP/y5GNOZMXpVhXUrly3Z/Zi1exZsH0j7L/1BzXTVk8ga+yZwPg2zzfcO3CDcb29WbYxEE4VyhBRFgE86cs4frFm0nSlpr+3KmUxIAJfVGp4OWLV0waOJWoyOiU22xoN/Q6PTs3/sH2eOO73I658Jo7xmwzX4/ZFmOVmaum0KFONwC+yvEVkxaMR6O1JvhVMOMHTCI8LCJFugTpk1QP2kiSNAsoB3wD2AL3gBeyLLd7z3ajgUOyLJ95S7kfMFuW5SRfvSVJGgE0AbIAOYEbpqK1Jk0737JpspEkyRHYKMtypQ/YRyvgNNAaaCrLcsM4ZVuAA7IsL/5QrcnB2tqK4RMH06lhTyLCI/hp11IO/3mUl/++MtcZ7j2IBb7LOHfiIuN8R1C7YXVCgkPJ65ibrk3d0Gg1bP17Hft3/8UMz7nm/a7ZuQTvYdNSrGv0JHfa1f+RiPAI1u9eyaE/j/Dfi5fmOqO93Znrs5gzJy7gNWM0dRvV5MAfhwHwnDbK4sZ+5IRB/PrTVnZv/ZO2nVvQrU9nlsxZlWxNoyYOoX2D7kSER/DLruX89edRC00jJw5m3rQlnD1xAc/po6jTsAYH9/wNwDifkRaaBo7qzfpVmzi05whVa1VkyNh+DOkxOlmaqjesio2Nlr7NB1KsbFH6e/ZhTA9PALJlz0qbHq3o1bgfWhstC7f5cfbIeVRqFaNmDKNoGSf+/v0oAGq1mt5jXOnVqB8RYRGsPbyK/VsPEPQqOFl6AKysrXD3GsCPjd2ICH/Dyh0LObLvuEWbcvcawGLfFVw4eYnR04ZRs0E1ngY+o2yl0nRr0puvc+Vg+vJJ/Ni4N2OmD2fW+HlcOXeNPiNdadjqO/Zs3Z9sXTHUaFgNrY2W3s0HUrxsUQZ69mV0j/Fmm7Xr0YqejfuitdGyeNtcs808ZgynaBknDptslhpYW1sxbOIgujR0JSI8gjW7lvD3n8csbDXMexALfZdz/sRFxvqOoJap/+VxzMWPTXuj0WrY/PcvHNh9mH6jerFx1RYO7z1K5VouDBzTh+E9x6Sa3vRAStvX4b1HadSmPh1c25L1q8ypqsna2ooREwfTsWEPIsIj+HnXUv6K50dHeA9ige9Skx8dSe2GNXjy6CnO5UrQubErOfN8w9w102lXt2u60dFjwA/s/O0Pdm3aQ9/hPWnduTm/LNuYLE2VG1RGm0HL0JZDcSrjRK/xvZjYcyIAWbNnpXmP5gxuMhiNjYaZW2dy8ehFCpUoxN87/maxZ+zl8Ju831C7VW3cm7ljMBiYuXUmJ/aeIMA/IEW2So++82PY7UNJ7TY1YJQbG1Zt5q+9R6hSqyKDxvRlaE+PVNOblihjhMF0aNCD8PAIftm1jMOJjBHmT1tqGiOMpE7DGgQ+eopzueJ0atSTnHm+Zf5P02lT5wd8x/uZ9/vzrmV4DfNJo1/28bC2tmbc5OG0+K4TEeERbNrzEwf2HubfODYbN2k4s6Yu4PTxc0yeOY56jWuz7/dDHDl0AgC3AT9y7sylDwrYpPb4ziaDDRNnj6FkmeLs//1QinUllVXrNrFr7yEyZrD5KPtP7XHd2L7eADhktmfJ5rnMnrCAat9VJl/BPHRr3JtMWTMxb90MfmyUtIe+qeXPAUbOGMp4N28CA57QtGNjvs79NY/uPk6RzYZ6D6Rro16KzXYu4ki88d1QrwEsnrac8ycv4eE7jJoNq3F4z1Eat21AB9e2ZPkqi7nujwM68fumPfy+6U/chnWnZedmrF/2W7J1fe6kp0wbSZLUwCKgFBAJuMqyfCdOeS+gN6ADJsuyvDvRHZlI9TVtZFkeJstyLWAasF6W5VrvC9iYtpv2toCNqXxIcgI2pm1mmLQMQQkI1TL9W5maAZtUZDCQCVgIWEmS1BNAkqQOgOZTB2wA8hd25NH9x4QEhaCL1nHx9GXKVS5tUaeYs5P56e+xQ6eoWKMCl89dw9N9KgBGoxErKzW6aJ15m44923Hy8Bnu+N9Lka4CRfLz8P5jgoNCiI7Wcf70JcpXKmNRp3gpJ86cuADAkYMnqFzDBYAe/bpw8ewV5Ou3zXULFsnPkYPKBf7CmcuUq2j5G1Oi6cKZy5SrZLmfYs5OnDVpOnropFlTt76duXTOUtN0r7kc2X8cACtra6Iio5KtydmlJKf/OgvAjQs3cXKWzGVFSztx9dx1oqOiCQsJIzDgCQWLFkBro2Xvpn2snRf7lNpgMPBDze6EhYSRKWsm1Go10XHOZ3LIXzgfjwMCCQkKRRet49KZq5SpVMqijlPJIlw4eQmAE3+dxqVGeUq7lOT0EeW3PAt8jpW1FVmyZebrb7Nz5dw1AK6cvUopF+cU6YrB2aUEp0w2ux7PZsVKF+XquWtmmz022czGRsueTfv4ed66Dzp2fBL2vyuUjdf/ijpLnDf1v+OHTlKxRnmunLuGl7sygI/b/2Z7zefYAaWdW1lbERWZ/Gyy9E5K2xdASFAIvVsP+giaEp7HcpUt/VVRCz96kko1KuB/7RZ9OgwB4Nvc3xISHJqudEz39GP35r2oVCq+zvk1IcEhydZU3KU45w+fB8D/oj+FnQuby4qULsKNszeIjoomPCScpwFPyV80P4VLFqZQyUJM3zSdMYvHkDVHVl48ecH4LuMxGAwAWGusiU7h009In74zLqlltw8ltdvUTK95HD0Qc92zStF1L70Sd4yge+sYQbIYI8TYqnf7IQDkzP0NwUGW/axTz+85cfg0t2/e/RQ/45NSqEh+Htx/ZB5XnTt1EZfK5SzqlChdjNPHzwHw98FjVKtZ0Vz2Tc4ctPq+KfOmL/kgHak9vrOx0bLj1z9Y5rf6g3QllTw5v8Vv6riPtv/UHtfF4Da8B7+u2sp/z/8jfxFHTh4+g9FoJOhlEAa9wZyN8z5Sy5/nKZib4FfBfN+rLfM3zyZTFocUBWwUmznyKI7NLidmM2eJ8zE2O3Qal+rKWCX4dQhurQZa1J3tOZ8/Nu8zXY9zEBL0YeMFQarQEsggy3JlYDQwK6ZAkqRvgEFAVaAB4CNJ0jujqp9kepQkSWuAr0z/mgG+QB7gW2CnLMvjTHU2omToNEbJ0ikI+MqyvEaSpMNAH6ADkB/IAeQD3GVZ/lOSpKbARCAIeAVckWXZ6y16vIB/AH/AAyX6lQdYAtRBiYjNlWV5sSRJNYEpgB64ixIRyw+sRomMqYFO7/jtNYEJpnr2proPgd+AzKbfORbQAKWBn4FqQA/gqCRJJ03ldSRJ0pg0Fjbtb5wsy4clSWoL9Dftwwi0AkqY7BwFLJNlee3bNL4Lewc7QkNiO354WDj2DvaWlVSxf4aHhuPgYE9UZBRRkVFYW1sxed54Nq/dQUS4kqZnrbGm7Q8t6Nwo5Wm89g52FjcwYWHhOGSy1KVSxQoLC1XKK1WvQL4CeZgw3IeyLrHO0f/aLeo0rMH2X3+nTsMaZLTNkHxN9naExLFVzDHfpik8NAz7THZUrF6efAXy4D1iGmUqxAYcXr8MAsCxYF6GTxjIoG4jk63Jzt6W0JAw82eDQY+VlRq93oCdgx1hwbFl4WHh2GWyIzQolLNHztPo+wYW+9LrDdRoVI2hUwZx8uBp3oS/SbYeADsHOwtN4WHh2Geys6hjaadw7B3ssLO3I+hVkPn7sNAI7DPZE/jwKWUrleLCqctUr1clRefOQp+9LWFx9Onj2MzWwZbQ4ITaQ4JCOXPkHI3j2exDScxWDg7vbuf28frfpHnj2Lp2JxHhEeY+mK9gXtw9BzC0+5fxBDsuKW1fAMcOnPwomuwd4vmGsHAcHOJriv07ria9Xs/A0b3p5NoOn7Gz050OKys1mw6txcZGy9LZyctOBLC1t7XwQwa9AbWVGoPegK29LeEhsdOtwkPDsXWw5dHdR9yedZtLxy5Ru2Vt+k3sx5Q+Uwg2Za+4jnPl7rW7BN4PTLaeGNKj74xLatrtQ0jtNhX3ujfMcyBDuo/6IH3pCTt7S9/0vjFC3HK9Xs8gjz50dm3H1DGx/c9aY027ri3p2LDHR1afNtg72FuO9RK1WezfoaHhOGRyMH/u2bcrK5f8QlRUygO4kPrju+CgEE78fZqW7Zt8kK6kUq92NQKfPvto+0/tcd3rl0Fk/SoLLtXKMWfCAgBuXb9D597t+W31Vr7JmYMCkiMZkjjeSy1/niVrZkqUK86csfN5HBDI9J+m4H9F5sLxS0kzVFxNDraExmvb9u/xBzHlMQ/f4qO2UrPh4Bq0NlqWz1mTbE1fAh+yPMJHoBqwF0CW5VOSJJWPU+YCHJdlORKIlCTpDuAMnH3bzj7lmjaHZFmeY5pGdEqWZVdJkjIAj4H44d/Msiw3kCSpMLALWBOvPFKW5UaSJNUDhkmSdACYB1SWZfmZJEnJedydGyVYUg7YhBIoygVskyRpCbAcqCbL8nNJkiYB3QAtcAYYCVRHCb68LaRZHOgiy/ITSZLGAO2A7cD/gIYowacisiz/LknSJaCPLMtRwCNJkjyBk0AHWZZfSJLUF/hXluWekiR9BRwx7b8I0ESW5XBJkpaiROwCUaJ7FUkB/Ue5UaaiM0WKFuLqxevm723tbBM87TUaYjuIrb2t+WmrQ2YHZq2YwrkTF1g1PzZmVKlGBc6fumzhQJPK4NF9KFexNEWKFeLKhVhddna2hMR7+hTzxBUUhx0SFELbTs3Jmedbft62hPyFHSnmLPHvi//wneDH+Gkjad2hGX8fPM6rl6+TrGnQ6N6UcSmFFF+TvW2CSLfBwlbKzX6bTs3JmfsbVm9dRIHCjhR1lvj3+X/4X7+NS9VyjJs2Ao8BXima1x8WGo6tfUbzZ5VauUgBhIWEWZTZ2tkS+p7I/JE9xzi69zhj/EbSsG09/vjtzyRr6TPSldIuJSlUtCDXL94wf29rl5idYs+d0qZCCQsNw9be1vy9nX1GQoJDmejuw7CJg3B178bFM1c+eHAW32bqODYLDwm30JAUm6WEfqN6UaaiM4WLFuJagv73nnZu6p8OmR2YsWIy509ctOh/5auWxcNnGOMHTvqi1rP50Pb1MRgwyo0yFUsl8KN2SfKjseXzpy1l5fy1/PLHci6cuszjB8kLRnxMHTqdnlY1OlGxegWmzPekR6t+ydIWHhpOxnj9zRDT3+KVxQQq5IsykaY1x07sPcEPw38AQGOjwX2mOxGhESwcuzBZOuKTnnxnYqSm3VLCx2xTFaqWZazPCMYM9P4i1rMZOLo3ZV1KUaRYQa5ciPVNdva2CbJm4o4R4pfP81nCink/s/6PFVw4dYlHDwKpXKMC509dStF4Kj0zbEx/ylcsg1PxIlw6f9X8/ftsZh+nXKVSUbd+DWZOmZ9iHR9zfPcl8LHGdQB1m9Zi77YD5u1O/32WYqWcWLplHvfk+/hfuZXkaaap5c+DXgXzOCCQB3cUv3T68FmcnKVkBW36jnKltIszhYoW5NpFS38Q/7jxx3ehQe/OZtXr9Hxf8wdcqpfDe944erce+M76gg9DkiQ3IO4cvWWyLC+L8zkTSjJJDHpJkqxlWdYlUhaCEk94K5/yld+y6f8vgQqmwMocILFUoEum/z8CEgujXoxXnh0IlmU5JoycnEUlrsmyHA28Bu6aAiav4uz3W+A3U6ZPfZTsnpWm+nuBASgZN28jEJhnyiSqjTLN6TqwFNiAMtct0fMgy/LPQIQsy3tMX5UEGpu0bAGsJUn6H/Ac+EmSpNUoUTpNzC6SYQcLFvouw7X1AOqUbEIex9xkyuKAtcaacpVKc+XcVYu6/tduUb6Kkg5drU4lLpy+jE0GLcs3zWP7ht0sixftrVS9AscPpeyJ9txpS+jaqg/Vijcgb/7cZM6SCY3GmgqVy3Axnq6bV2/hUqUsADXqVuHcqUsM7zueTk1d6dqqD8cOnWSG93z8r92iSq2KzJmyiK6t+mDQGzjx91tn6iVg3rSldG/djxolGpE3fx6zpnKVynApga1kKpg0Va9TmfOnLzGyryddmrnRvXU/jh06yeyJC8wBm9GT3endcQjXL/unyF5Xz16jch0lblesbFHu3Yyd033zkj/OLiXR2miwc7AjX+G83JcTn/Nta2/L/M2z0Wg1GI1G3oS/wZDMaPaS6Svo03YwDUq1IHecNlWmUimunr9uUffW9dvmaUBValfk0ukrXD5zlco1XZTUz1w5UKnUBL0MomrdyowfMIl+7d3JnDUTp4+cS5au+MS1WfGyRbl7M3YK341LNykVx2aOhfNy7y02+xAW+S6nV+uBfFeyqUX/K1upFJdNU8Fi8L92i3Km/le1TmUumvrf0k1z2bHhd4unLeWrlmXEpMEM6DSUGylsU+mVD21fH4MFvsvo2bo/tUs2Np3HTGY/mth5jPWjlblw+hIuVcsxxmc4AFGRkeiidRiNhgTHSSsdY6cNp0JVxZ+Fh4ZZDDCTyo2zN6hQpwIATmWcuO8f259uXbpFcZfiaGw02DrYkqdQHgLkAAbPGEzVxlUBKF2tNLevKDdAE1ZO4P6N+8z3mJ8iLXFJT74zMVLTbinhY7WpClXLMmqSO307uX8xPmq+aYxQs0Rj8uaPa6syidoq7hjhwunLuFQrx9i4ttLpMJj8QKUaLhw7+HEyBNOSWVMX0rGFKxWc6pAvzrjKpXI5Lpyz9Nc3rvhTsaryALtm3WqcOalMUZKKFuLu7ftEvkn5NOCPNb77UvhY4zoAl+rlOfHXafP2eQvk5tmT57i26M9Kv58xGAwWmSrvIrX8+ZOHT8lol5FcjjkBZdrV/VsBSdIQw2LfFfRuM4j6zs3J45jLwmZXzlv6A/nabfOSFFXqVOTiO8Yqo3yGmseCYaERGD/wGvi5YsD4yf7JsrxMluXycf4tiycnGHCI81ltCtgkVuaAElt4K58y0yam9XQDXsuy3FuSpEKAmyRJqnh13zeiiV/+HHCQJCm7LMsvgEpAQBJ1vetY/6JkArWQZTlIkqTmKBk1LYCjsix7S5LUERgFeL9lH8uBgrIsh0iS9BOgkiSpJOAgy3ITSZK+BU4Au1Fs9K5Amj/wWJblqZIkZUSZNhVtOnZeU539xE5Y+uAeq9PpmTVhHos3+qFWqdi+cTfP//mXAkUc6dCjLVNHz2SW13w8Z41Go9Fw/3YA+3f9RSfXduTKl5PWXZrTuktzACYMmULgw6fkK5SXXZv2vOfI79fl6+nHil/no1ar2LJhF8//eUHBIvnp3PN7Jo7yxXeCH5Nmj0WjteburQD+3HXwrfu7f+cBMxZPJCoqmjv+95g42jdFmqZP8GPZxrmo1Gq2xdHUqUdbJo2ewfQJc/GeNQaNVsO92wHs2/X2BehGT3JHo9EwdZ6yWFrA3Yd4j0jews1H9hyjfI1yLNoxD5VKhY/7dNq7teXx/UCO7z/JllXbWLDVD7VazXLfVW9dAT88NJx92w6yYMscdDodd2/eY9+WA8nSEoNep8fPewHz189EpVaza+MfvPjnX/IXzsf33VvjO2YOft4LGTtjJNYaawLuPODg7sMYDAYunrnCql2LUatVTB87B4BH9x+z6Lc5vImI5NzxC5w4dOo9Ct7N33uOUaFGOZbsmI9KBVNMNgu8/4Rj+0+wadU2Fm1VzvEy35UpfmtAUlD633wWbZyDSqVix8bfeWHqf+17tMFn9Cxmey3Ac9YoNBqlTR3Y9RcdXduRO19OWndpRusuzQCYMGQqIyYOQqPRMHGektwYcOchU0bO+Gj604KUtq+PiU6nZ+aEeSzZOAe1Ss22jbt5/s8LChRxpGOPtkwZPZOZXvOYMMsDjcaae7cfsH/XXwDUb16Hn3YuxcpKza+rtxD48Ol7jvbpdKxbsYnx00fSe2gPjAYjU0Ynvy2d2HuCMtXLMGvbLFQqFbOHzaZVr1Y8CXjC6f2n2blqJzO3zESlUvHT9J+Ijoxmtc9q3Ge607RrU96Ev8FvpB9VGlahZMWSaLQaytdWbuBWT1uN/4WU3finR98Zl9Sy24eS2m3Kb7UvGo2GyfOUxd8D7jxk0sjkX4/TI8oYYS7LNvpZjBEKFHGkU492TB49gxkT5uI1ywONVhlPxYwRGjSry9pdy5TpD3H8QP6Cedn52x9p+bM+KjqdjinjZ/HT5sWoVWo2rd/Os6fPKSQVoKtrBzxHTGWK5yx85nii0Wq4c+s+e3YqLyIoUMiRhw9Stt5IQh2pO7770kjtcR1AvoJ5CHwQ+4anfwKf09+jN21/bElUZBTTx8xJTEqipJY/10Xr8B0+E88FY1Gp4Nq5G5w8eDrRukmx2RyvBczfMAu1Ws3ODcr4Ln8RR8VmHrMVm80ciUZjTcDtd49VNq7czBjf4RiHdsNgMDLN48OmUwtSheMoy8L8JklSJSBupPcMMMU068gGKApcS7iLWFQfa+6XJEndACdZlkfHrFcjy/JeSZKKA+tRUoJi1pKpi7JuTMyaNjHbZQD8ZVl2jLemzT+yLC+RJMkJWCLLci1JkhoRu6aNGjgoy/IUk5ZaKNOOOpg+exG7pk0fWZY7xNtXFpQpXE6SJNUHPE37DAa6okTDfkJZL8YKcEfJILpm2mcMw1ACPHWAMOAZ8B8wEPgFZWqUGlgqy/JaSZImo0yZqi/L8kuT1n9kWf7G9LcNShAoH0pa1SJgBfAr4IiS8fMKJQh0PO5vfh+lvqmSriYBRho+3o3wh2Cl+pTJaUkjm7X9+yt9Yt4Y09/506o+ZYw6aYTr0+9CwPuu7k1rCRY0LvVp5v4nh/Tqp9IbuTRZ0lpCooQa0t8it/ZqbVpLSEBg9Ou0lpAoB6/uS2sJFtQuUS+tJbyVv66l/I2KHwMXp2ppLSEBttYfth7ex+DS9Q1pLSEBVZy7pbWERMmg0ry/0icmIh1eYwDOPT0aP1nii6FCzhqf7H727JMj77RjnLdHOaMkVHRHWbf3jizLO01vj3JDiQVMlWV5y7v299GCNp8aSZI8UF4JHilJ0i/APtP0IkESEEGbpCGCNklDBG2ShgjaJB0RtPl8EUGbpCOCNklHBG2SjgjavB8RtEkaImiTdETQ5tOTnoI2qU36u4tJOSHAKUmSwlGmRv2atnIEAoFAIBAIBAKBQCAQfGy+lGSUxPhigjayLC8AFqS1DoFAIBAIBAKBQCAQCASC1CD9zfUQCAQCgUAgEAgEAoFAIBB8OZk2AoFAIBAIBAKBQCAQCP7/YXjvC6g/X0SmjUAgEAgEAoFAIBAIBAJBOkRk2ggEAoFAIBAIBAKBQCD4bBELEQu+eEar86e1BAt6BZ9IawmJ4pQ5d1pLSEB6TAXMpE5/r84MT4evIc9snTGtJXw2WKus0lpCAvQqQ1pLSEBQdHhaS0jAC1VoWktIlCBd+rPVVxqHtJaQgMdh/6a1hM8CteqLfYtuqvNNhmxpLSEB+5rZpLWEBKTH12ufuLImrSUkSoRHn7SWkABNlcppLUHwBSGCNgKBQCAQCAQCgUAgEAg+W9Ljg+zUQqxpIxAIBAKBQCAQCAQCgUCQDhGZNgKBQCAQCAQCgUAgEAg+W4wi00YgEAgEAoFAIBAIBAKBQPApEZk2AoFAIBAIBAKBQCAQCD5bDF/w26NEpo1AIBAIBAKBQCAQCAQCQTpEZNoIko5KRXmf7mQtlhd9VDRnhq8gNOCZubhwt3rk/746GOHmkt95tOu0uSx3w/LkaVaRk/0XprqsRo3rMtpjIDqdnrU/b2LN6o2J1pvmO47bt++xcsV6ANx6/0DnLm0wGmGe33K2bv39g7VUr1cF16Hd0Ov07Nz4B9vX7bIoz+2YC6+5YzAajdz1v4+vx2yMpqhwbsdczFw1hQ51ugGQKYsDW4+v567/fQD+2nOEjSs2p1ibSqViuM9gChUrSFRkNNNGzCQw4Im5vFmnJrTs0hS9Xs+aub9w4sApc9n3rm3Ilj0bS3yWp/j4cXUMnjqQgsUKEBUVzawRc3gSR0fjTo1o2rkJer2edXPXc+rgabLlyIbHvFFoNNYEvw7BZ5AvEWER1G5RizaurdHr9Nz3v8/cMfPN9kyKjhE+QyhUrCDRkdH4jJjB4zg6mndqQssuzUz2WMvxA6fInDUT3gvHYZPBhn+f/cdkd18i30RSqbYLPYf+iAoV/ldvMXOMn3k/NRtWo07TWkwYMDnZdnKfOoiCxQoSHRXNjBGzLM5Xk06Nad65CXq9gbVzf+HkwdPkyJmDUbOGY2VtBSqYNXIOj+49pkbj6nTq1wEjRg5sO8iWlduSpSU9kprnL2Z/s3724ei+42xbG9tvU3r+AGrUq0ovkz/YsfF3tsXzB3kcc+E1dywYjdzxv8e0OP4gj2MuZq6aSvs6PwIwfOIgihQvDMBXObIRGhTKj017J1tTnQY1GDi8Fzqdns3rd/DrWsu2kC9/HqbP98JohFv+d5gwchpGo5E2HZrRqXtbrKysOLDnMAtmrTBv41KlLLMXT6ZaqcbJ1hNDavrOr3J8xaQF49ForQl+Fcz4AZMID4tIsTaAOvWr0394L/Q6PZvX7+S3Xyztljd/bnzne2M0Grl98y5eoxS7te7QjE7d2qK2UnNwz98snL3iLUeIRWnb7hQ29f2pw2fwOCDQXN6iUxNa/tAcvU7P6rlrOX7gJJmzZWaiuW3/yyR3XyIjIhOt+22eb/Cc64FKpeKfx8/wGTmTyIhIfujfkXot6xIWEsYvizZy/MDJZNupQaM6jBjVX/Hfazfz85rfEq03xWcMt2/fZ82qDQD07d+N1m2aArB/32GmT1uQ7GN/TtSsV43ew7qj1+nZvmE3W9bttCjP45ibSXPHKb5BvseU0TMxGo0MHN2bSjUqYDQa8ZuyiHMnLqbRL0hdUsuf5y2YmyFeA8zbFS9bjNE9x/Hg7iPG+402t/lpI2eZfX8KxGLTcQBWuQtg1EXzZu0cjC+emoutipfHpklnUKnQP7xN5IaFoLUhQ8/RqGztQafjzU8zMb7+L8X2ql6vCq7uP6LT6dm18Q+2r99tUZ7bMRcT/DzM/nL6mDkYjUZch3ajWt3K6PV6ZnnO58alm0xZPIGvsiuvYP82zzdcu3CDsX29GTZxEM4VShARFsH8KUu4fvFmivW+jSvX/Zm9eBVrFkxP9X0nikpFhs4DUecuALpoIn6ag/FFbDuzLlEBbbMuqFChf3CbN+vnQ0ZbMvYcjSqDLVhbE/nbUvT3UtcWBqORqX9e4dbzIDRWaiY0Lk3erPYA+D8LYsaBq+a6V5+8Yk4bF47fe478LAiA/8IiccigYW3XGqmq63NErGmTDpEkabMkSR5xPjtIkiRLklQqlY+TU5KkcEmS2sX5LoMkSa5xPleXJGm/JEmHJUk6K0lSv9TUkF7I3bAcVjYa9jf34vLUXykzobO5TJvNnkJd67K/uTeHvp9qUVZ24g+UGtMelVqV6pqsra2Z5juOFs260rB+B7r36ECOHP+zqPO//2Vj6/bVNG7ynfm7r77KiqtrZ+rWbkvTxp2ZOm3MB2uxsrZiqPdABnQYilvrgbTq0oxs/8tqUWeo1wAWT1tOr5YDUKmUG0KAxm0bMHWJF1m+ymKu61SyCH9uO0jvNoPo3WbQBwVsAGo0rIbWRkvv5gNZ4rOcgZ59zWXZsmelXY9W9Gk5CPdOo+gz2hWNVoM2g5YJ88fQuluLDzp2XKo2rILWRsvAFkNY4bOSPuPdzGVZs2elVY+WDG7lzujOHvT06IFGq6FDv+/Zt2k/Q9oM4871uzTu2AhtBi09RnRjWLsRDG7ljp2DHZW+q5hse7g1H8Ain2UM9IztttmyZ+X7Hq3p3XIgQzqNpO/oXmi0Gnq4/8i+7Qfp23owt67dptUPzbC1y8iAcX0Y3tUD12b9eProH7JkywzAEO8B9PXolaK2X61hVbQ2Wvq3GMQynxX0Hd/HQl+bHq0Y0GoIIzqPppeHcr56jOjGtjXbGdJuGOvmb6CXR0/UajVuHj0Z1nEk/ZsPokXX5mTOminZetIbqXX+Yug9qicOWRwsjvEh58/a2oph3gPp12Eorq0H0LpL80T8wUAWTVtOz5b9UalU1GpYHYAmbRvgs8SbrHH8wUzPebi1GUi/9kMIDQ5j0nDfFGiyZtykYfzYth+dmrvSoWtr82A9hjGThjLbZxEdmvVEpVJRr1Et8jrmplP3tnRq4Uarej+g0Wiwtlae+Xyb82t69O1i/pwSUtt3/jigE79v2kOvlgOQr92mZedmfAjW1taMmTyM7u3607lFL9p3bZXQbhOHMmfqIjo1c0Wlgu9i7NatLZ1butGmflc0Wk2S7FSzYTVsbLT0at6fhVOXMWhCXF+djXY92+DWYgCDO42gr4fStnu6d2XftoP0aTUI+dodxYZvqTtwfF+2rd1Jn1aDuHDyEp3cvqegU37qt6yLa9N+DO44ArcR3bHJaJNsO03xGUOblt1p2rAzXbu1J3v2ryzqfPW/bPy2ZQUNG9c1f5fPMQ9tv29Og+++p16dttSuW41ixaVkHftzwtraihETB9O7/RC6t+pHmx9aJGjvI7wHscB3Kd1a9gVU1G5YA6cSRXAuV4LOjV0Z2Wc8oya5p80P+Aiklj+/ff0u/du507+dO1t+2s7hP45w6vBZBozvw/a1u+jbejAXTl6iY+9271DzbqxLVUGl0RI+3Z3IbauwaRs7hsEmIzatXYlYOIFw3yEY/3uGyj4zmmqNMDy4TcSsEUSfOYS2fsqPb2VthbvXAAZ0HEbvNoMS9ZfuXgNY7LsCt1YDUalU1GxQDalkEcpWKk23Jr0Z09eLUVOHADC2rzd92g5mRM+xhAaHMnvCAqp9V5l8BfPQrXFvRrl5MnJq6re1Ves2MWHaXKIio1J932/DunQV0GgJnzaEyK0ryfB9vHPXthcR88cT5jMIw3//oLLPjE29NuhvXiR85nDerJ5Jhk4D3n6AFPLXradE6vT83LUGg2sVY/bB6+Yyp68zs7JzNVZ2rkb7cvmpK+WkaoGvGfldSVZ2rsaSDlWwt7HGs2HpVNclSF98tkEboA/QR5KkYqbPM4BlsixfTuXjdAfmAf3jfPcN4AogSVIBU3kXWZZrATWArpIkNUxlHWlOdheJp4cV8/534Q7ZnPOby6JehrK33hiMOj0ZcmTG8CbaXPbvuducHb36o2iSnApx794DXr8OJjo6mpMnzlG1qotFHTs7W6ZOmcvGDbFPRv/77xWVKzVBp9Px9dfZeZPSJy5xyF/YkUcBgYQEhaKL1nH5zFXKVLKMITo5S5w/eQmAE4dO41K9PADBr0NwazXQom5RZwkn5yIs3Tqfacsm8lUOy8FvcnF2KcGpv84CcP3CTZycYwfFxUoX5eq5a0RHRRMWEsbjgCcULFoAGxstezbt4+d56z7o2HEpWaEEZw+fA+DmBX+kUkXMZU6lJa6fvW7SEc6TgCcUKJqfRV5LOLD1ICqVihw5sxMaHEp0ZDSDWg4xPy2zsrYiKjI60WMmRimXkpz66wyg2KOoc6yOYqWLcsXCHoEUKlqAUi4lzNuc/OsM5auXo2T5Etz1v8egCf1YvHUur/59xeuXytOPq+evM91jTortdOawcr5uXLgZz05OXDsbqy8wIJACRQuweOISTh5UMtysrBR7GAwGfqzVg7CQMDJlzYSVlZroaF2KNKUnUuv8AdRuUgODwWAui+FDzl+sPwhBF63j0pkrlK1U2qJOUWeJ8yeVJ+XHD52iYhx/4Noq8YFh+55tOfX3Ge7430u2poJF8vPg/iOCg0KIjtZx7vQlXCqXtahTolRRTh8/D8DfB49TpWZFqtasyNVLN5mxwJsNO1dw/sxldDodWhstk2aNYcIIn2RriUtq+87ZnvP5Y/M+VCoVX+fMQUhQ6AfpK1jE0cJu509fokI8uxUvVZQzJ2LsdoIqNV2oUsOFq5dvMH2BN+t2Luf8mUvodO/ve6VcSnLycEzbvmHhq4uXceLK2cTadklOxrTtQ6epUL3cW+vmL5KPk4cUP3HlzFWcXUriWDgfF05eIioyiqjIKB7df0yhogWTZaciUkHu33tAkOl6fPrkeapUrWBRx87OFl+f+fy2cbv5u8DHT2nXuicGgwFQgj+RkR9+TU6v5C/syKP7j82+4eLpK5SrXMaiTlFnJ3MWzbFDJ6lUowL+127Rp8MQAL7N/S0hwR/WrtMTqenPATJkzIDrsG7M8ZwPQP7C+Tj5l6nNn71GqQolU6zVqlBxdNeVMYzhvj9W+QrHlhUshuFJADZte5Fx2EwMwa8xhgYRfWg7UXuULHB11uwYw1N+7vIXzsfjOP7yUmL+smQRLsT4y79O41KjPKVdSnL6iDKmeBb4HCtrK/MDJgC34T34ddVW/nv+H/mLOHLy8BmMRiNBL4Mw6A0JAtUfSp6c3+I3dVyq7vN9WBUuge6acu709/yxyhfbzqwKFcMQeB+bdr2xHTkLo+ncRe7fStQRUya+lRXG6NQPMl18/JKqBXIA4JwrG9f/eZ2gTkSUjiVH/Rn5XQmL7zeev0fl/DkonOPzfxiXGhiMxk/271Pz2U6PkmX5X0mSBgArJEkaAxQApkiStAfICEQAbrIsP5IkyQcoD3wFXJZlubskSV5AFcAe6An4ApkBW2CsLMv7JElSAT8A1YEdkiSVkGX5GjAWKCZJkiegAn6WZfmZSVeEJEkNgFBJkjTAapM2K2C2LMu/SpJ0GLgMlABCgaNAAyALUB9oAbQEHID/ARNlWd4iSVJblOCRBjACrUz7GAVEmY6zEfABbgEusiy/lCSpL+Agy/IH5R9qHDISHRybYm40GFBZqTHqlYGWUW+gcPd6lBzWhlur9pnrPdx5ihyVi37Iod9KJgd7goNCzJ9DQ8PIlNnyafmDB4958OAx9evXtPher9fTu09XxowdwpLFaz5Yi52DLaFxBlFhoeHYZ7K3qKNSqRItP3bgRIL9Bdx5yM0rKzlz9DwNW9dj5JQhjOo1PuX67G0JCwkzf9Yb9FhZqdHrDdg62BIaHFsWHhaOfSY7QoJCOXPkHI2/b5Di48bH1iGeDr0BtZUag96AnYOdRVl4aDh2DnYAqK3ULN+3BI2Nlp/n/ILRaOTVv68BaNm9BRntMnL+yPkk67CztyXUwh4Gsz3sEtgjAvtMdtjZx+oLDw3H3sGOzNkyU65KGbrWdyUiLIIl2+Zx9fx1Ht17zMGdf1GmcsqS/+wcLPUZ9PH0WdgpAnsHO4JeBQOQp0Bu+o53Y1zPCcpv0xuo3qgaQyYP5NSh07wJf5MiTemJ1Dp/BSRH6resyxg3L3q4d7U4xoedP7tE/IGdRZ24/iA8TvnRRPwBgLXGmjZdWtC1ca8UabJ3sCMkJK6mMBze46McMtmTNVsWXCqXoV3j7mTIYMOvv6+iVb0f8JjozoqFa3n2z4sU6YkhtX0nKP5iw8E1aG20LJ+z5oP02TvYW9wgx9jlXfocHOzJ+lUWKlQqS/vGStbKxt0raVO/63tvtu0c7AiLU8dgMGBlZYVerze14diycJMtbON8H/Pd2+reun6H6vWr8semP6neoCoZbTNw9+Y9ug7sjK1dRqy1GkqWL8H2XyynXLwPh0z2BAe/+3r88MFjHj54zHf1YtP4dTodL/97BcDEKaO4euUmd+8EJOvYnxMJ+mFYOA4O8X1D7N8xvgqUccvA0b3p5NoOn7GzP4neT0Fq+fMYmnVszKHdf5uvibev341t8/WrkME2Q8rFZrDFGBGrB4MB1GowGFDZZ8KqiDPhU/pjjIzAdthM9PduYnweCEYDGYdMQ53LkYi5Kc/utnOws7z+hyXh2uKg2CvoVZD5+7DQCOwz2fP6ZRBZv8qCS7VyzJmgTEu8df0OnXu357fVW/kmZw4KSI4fZrNEqFe7GoFPn72/YiqiymALbz13mbGSShE2sS/GyAjsRs5Gf+8GhmfK1FRVpqxk7DmKN78uTnVdYZHR2NtozJ+t1Cp0BgPW6tjcim1XHvCdUy6y2sZmQEbrDWy+FMAvXS3vbwRfJp9zpg2yLO8C/FECI92BmcA8U8bLTGCaJEmZgFeyLNdDCdxUkiQpl2kXN2VZroJih/8BzYCOxAaz6gJXZVl+AawiNttmCnBDluWJQE7A4pGnLMtBsizrgd7AC9MxvgMmS5IUM3fnjCzLdQEbINyk7wYQ0/PsgHooQZzZkiRZA0WAJrIsVzPVjbmTzge0ASoBI2VZNgDrgA6m8i7AT0m3bOJEh0RgbR/rtFWq2IBNDLdX72d7mf5kryiRo0qx+LtINTwnDGPP3g38umm5xeDZ3t6OoNfBSd7P0iU/U6hARapWdaFGjUop0tJ3lCtLt8xj9ppp5gADmAYh8Z7wxjxJjC0P4W2cPXaec8eVJ21/7TmCVKLwW+smhbDQcGztM5o/q9XKgAggPCQcW3tbc5mtXULtqUV4SDgZ7eLqUGEw6QgLCSOjXRwd9rE3c3qdnh51ejFnlB+j544ElIFJ73G9KFe9LF69JiZLR1hoOHZxfnNce4QlsEdGQoJCCQsNw9akL0Zb8Ksgbl725+WLV0SEv+HiqSsUKV4oWVoS1RcSbj6Wok9lqc/CThnNdipdpRSTV3ozdbAvj+49Ntc5uucYbct3wFqjoX7beh+sL61JrfPXqG0Dsn+TnQW/zabJ9w3p4NaOSrUsswOSQ79RvVi2ZT5zEvEH8TM+4voD20TK41OxenkunL5kMWBPCkM9+rFuxzKW/TIHe/u4muwsgt7xNdnZ2xIcFMKrV685ffw8YaHh/PfvK+7cuo9T8SJUqFSGgSPcWLdjGZmzZmbu8uRl3Hws3wmKv/i+5g9MHTEd73kpe5rr7tGXX7YvZcna2RY3hMq5tDy+Mb7dgkN4/TKI0yfOERYWzst/X3H31n3yF8z33uOGhYRZtF+1So1er1fK4rRhiG034fHadvz2Hvf7ed6LqF6/Cos2+2E0Gnn9MoiAOw/ZvHobfuunM3zKYK5fuGnOGHwfY8a7s/OPX1i/cQkODvGvx+8+TzHY2GhZtnI29vb2DHefkKRtPjcGjHJj5daFzPtphmV7srNNEMgzGmKf4traW5bPn7aUuqWa061fZ3Lny8WXQGr58xgatPqOnRti1ymcN3ER1epVYeGmORiNEJTEtp0ob8JRZYgdw6BSKTf/gDE0GMODWxiDX0HkG/R3rmGVp4C5aoTfaCJmDidj7+T7pD4jXVmyeS6zVvtY2MrWLgnXlmCTveJsZ2ef0dyu6jatxd5tB8zbnf77LBdPXWbplnn8OKAz/ldumQNgnzPGN+EQ99ypLc+dPiD23OluXUWdR8k2VOdyxHaYL5HbVqO/dTWxXX8QdjYawqJiszANRqNFwAbgj+uPaV3K8vpxKuAFZfP8D4cMGgQKxk/436fmsw7amPgZOC3LciBQEhhjymTxBL5GybjJIUnSBmApSmZNTOuWAWRZvm4q2wAsItYuvYD8kiTtBToB30uSFJtLqPAAyBP3C0mSSkmSVAYoChwxHSMEJdASk298wfT/16bvAV4BMVGRv2VZNpgyeF4B2YHnwE+SJK0GnOP8jquyLOtkWQ4z/V5Qgkw/SJJUAngWkwn0Ibw4e4ucdUoD8FXZQrz2f2Qucyj4LdVWDAHAEK3HEKWzGMSmNhO9Z9GoYUcKOFagQIF8ZM2aGY1GQ9VqLpw+c+G92xcuXID1G5RoeXR0NJFRURgMKeuAi31X0LvNIOo7NyePYy4yZXHAWmNNmUqluHL+mkVd+dptylUuDUCVOhW5ePrKW/c7btYo6jRRYngu1cpx84qcIn0xXD17jcp1lDVfipctyt2bsbHGG5duUsqlJFobDXYOdjgWzss9+f4HHe9tXDt3nYp1lClsRcs6cd8/wFzmf0mmZMUSaGw02DnYkrdQXu7LAQyaMpDSVZSMh/CwCHPbcvcdjDaDFs+eXsleVPDKe+xR2sIe+bgn31e2qatsU7m2C5dOX0G+epsCUn4ym6YelShbjPu3AhI7ZLK4du46lUx2Kla2KPf8Y8+H/yV/nCvG6stXKC/35fuUrlKKgd79GdnFA/nKLUAZsPltnoVGq8FoNPIm/M1H7ZufitQ6fwunLMW1WT/6t3Pn99/2snHZJk6ZpqWlhEW+y3FrM5B6zs0s/EHZSqXf4g+UaRFV61Ti4ul3z+6tWKM8Jw6demedxJjts4jOLdyoWLQe+QrkIXOWTGg01rhULsvFs5Y+6MZVmYpVlWkGNetW5dypi5w/fZmKVcuhtdGS0TYDhaUC3Lp5h3qVWtO5hRudW7gR9CqIwb08Ejv8W/lYvnOUz1DKVVHsGhYakeL2PsdnMV1a9qZysfrkyx9rtwpvsZtLlRi7VVHsduYyFauUN9utkFSAB/cfJXYoC66cvUaVOspDhOJli3E3zlS46xf9KVXRGa2NNkHbrlJX2aZynYpcPnPlrXVdapRn8bQV9Gs7BIPewNkj58iSLTO2dra4tRiI76jZfJ0zu4XPeRdTJ82heeMuSAUrk79APrKYrseVq1bg7JmkLZS7buMSrl3zZ+jg8RY3nF8SC3yX0bN1f2qXbEwex9xkypIJa4015SqV5vI5y/buf+0W5U1tuFqdylw4fQmXquUY4zMcgKjISHTROozGL8NWqeXPQclE0dhoeP4kNgPQpUZ5lviuoH87dwwGPWeOJj0rNz76u9exLqFcm9X5nTAEBpjLDI/uoM7piMouE6jVWOV3wvD0IdoG7bGuqKzjZIx8Yw4UJIcl01fQp+1gGpRqQW7H3Bb+8ur56xZ1b12/TdkYf1m7IpdOX+HymatUrumiTBvNlQOVSm0OXrlUL8+Jv2JfHpK3QG6ePXmOa4v+rPT7GYPBYBEU+1zR37mOdUnl3FkVcMLwOMBcZnh4B6tcjqjslXNnXaAohicPUX+bl4y9xxOxfBq6aykfG7yL0rmyceyucpt2JfAlhbNbTnUKeRNNlN7AN5kyWnx/OuAF1UzTqgRfPp/t9Ki34A/MlGX5hCRJTihZK42APLIst5ckKTvKlKKYvEEDgCRJJVGmDzWRJOlb4IQkSadQMlcKmLJmkCRpOfAjsJ3YwM56YLskSb/KsvxCkiR7lADQROAmytSqbZIkOaAElWJGQe+LEJQzHfNrIBMQDngDeU3l++P8jgT7kmX5gSRJr1Gmcq18z7GSxOM95/imRkm+2zkBFSpODV2K5NaI0IBnBO67wOsbD6m3yxuMRp78dZkXp/xT47DvRKfT4TF6Ctt3/oRarWbtz5t4+uQZTk6F6N2nK+5DPBPd7vbte1y9epNDh7diNBrZv+8wx46dTrRuUtHr9MzxWsD8DbNQq9Xs3PA7L/75l/xFHPm+e2t8PWbj572QsTNHotFYE3D7AQd3H37r/hZMWYrnnNG069aKiPA3TBqW/IVH4/L3nmNUqFGOJTvmo1LBFPfptHdrS+D9Jxzbf4JNq7axaOtcVGo1y3xXJmt9mORwbM9xylUvy7ztc1CpVEwfOou2vdoQGBDIyf2n2LZqO35bZqNWq1k1fTXRkdFsW7WdIdMG8cOQzhgMRuaOmU/hEoVo1KEhV89cY+Zvysy/rSu3c3zv8STa4yguNcqxbMd8UKmY4u5LB7d2PL4fyLH9J/ht1VYWb52HWq1mickeq+f+gqffaFp0asrrl0FM6D+ZNxFvWOyzHL/1MwA4uOsv7skBH2yno3uOUb56WRZsn4tKpcJ36Aza9WpDYMATTuw/yZZV25i3xQ+VWsWK6auJioxmgFc/NBprPPxGAfDw7iNmj/bjwLZDzN0yG320nrs377F/68EP1pfWpNb5+1jodHpmey1g4QalLe+I4w/ad2/DNI9ZzPZewPiZI9FoNNy//YAD7/AHAPkK5mX3pr0foEnHlPGzWbNpIWq1mk3rdvDsnxcUKpKfH1zbM2HkNKZ6zmbqnPFoNBru3rrPnp3K09ff1u1g0x+rQQULZi5PVkbj+0ht37lx5WbG+A7HOLQbBoORaR4fNo1Ep9PhM342q35bgFqtZvP6WLt16dker1HT8PGcw5Q54xS73b7P3p0HMRgMbF6/nV9/X4VKpWLhrBVJstvhPUepUKM8y3YuQIWKyUN96ejWjscBgRzdd4JNK7ewZNs81GoVS6etICoyitV+axk/14MWnZvw+mUQnv0U35RY3Yd3H+G9YBzRUVHckwOYMcYPvU6PY+G8rPpjCbroaOZPWpLs4IlOp2PcGB82b1uFWq1m3drNPH36DEkqhGvvLowY6pXodk2a1aNKNRe0NlrztKlJXjM5e+ZSso7/uaDT6Zk5YR5LNs5BrVKzbeNunv/zggJFHOnYoy1TRs9kptc8JszyQKOx5t7tB+zf9RcA9ZvX4aedS7GyUvPr6i0EPnz6nqN9HqSmP89bIDdPH/1jsf8Hdx/hNX8s0VHR3JMDmDnWL8VadZdOYFW0LLYjZoNKxZufZqGp2xrDiyfor5wicvtqMg6aotQ9fwTDkwdEhwSRodtwNFUbgErNm59T7pP0Oj1+3guYv34mKrWaXRv/UPxl4XyKvxwzR/GXM0ZirbEm4I7iLw0GAxfPXGHVrsWo1Sqmj41dry1fwTwEPoh9i9I/gc/p79Gbtj+2JCoyiuljUra2W3pDd/E41sXKYjtqjnLu1sxCW68NhueB6C6f4s3WVdgOUTJGo8/9jeFJABn7e6HSaMjQQVkQ3hgRRsRCr1TVVUf6llMBL+i69ggYwbtJGdaeuUOerHbUKvwtD16FkjOzbYLtAl6G0rREnkT2KPgSUSX19bjpFUmSagF9ZFnuYFoUeDFKtkpGYDBKkGQXSgaK0fS9O8rUo39kWV4iSVIG4BcgB0owZilKZktuWZaHxjmWC0pmTxngJPCnLMujJEmqD4wH9Cjr0KyQZXmxJElaYDlKdk1GlKlbP5kygfrIsuwvSdJGYIksy4clSfIDTpn090YJ1GQGxgF/Ar8CjoAOJfvmBHA85vebNP4jy/I3pr9boyySnC8m8PQ2NuTsnK4aQq/Xia9TkNY4Zc6d1hISYKNOf2mRGVTpLx4cbvw4QagPwUZlldYS3sqmi+nrteDNSzdPawkJiDSkvzYVFB2e1hISkFVj9/5KaUCQLv3Z6iuNw/srfWJuhQS+v1IaIN97f1btp6RuyfppLeGtHLy67/2VPiHp0Z/va5a8t6V9CursTH8+6sSVNWktIVEiPPq8v9InRlOldFpLSJSM3aen/ut80wlFspf/ZPezt16c+6R2TH93VslEluXDwGHT3/eIXeclLoktUGB+HC/L8hugbRKOdQZwMn0sHef7fUCCK6Isy1EomTnxv68V5+8Ocf4eAiBJUjeU6VGj4236/VukHY6zj2/ifG8FrHpfwEYgEAgEAoFAIBAIBAJB+uOzD9oIEkeSpKlAbaBpWmsRCAQCgUAgEAgEAoHgY5EWCwR/KkTQJh0iy/KaVNhHyt8nKBAIBAKBQCAQCAQCgSDNEUEbgUAgEAgEAoFAIBAIBJ8ths98rd538SW88lsgEAgEAoFAIBAIBAKB4ItDZNoIBAKBQCAQCAQCgUAg+Gz5kte0EZk2AoFAIBAIBAKBQCAQCATpEJFpIxAIBAKBQCAQCAQCgeCzxWg0pLWEj4YI2ggAuKNJawWWFMj0TVpLSJQooy6tJSQgI9q0lpCAMENUWktIQAZ1+nN3Nqp01vHSMcZ0uLhcetQkSDoZrdKf78xubZ/WEhIQavtVWksQfGFo0mGi//WdtmktIQEZVNFpLSEBER590lpComT0WZLWEhLwrIlrWktIlNzd01qBICWkv7sYgUAgEAgEAoFAIBAIBIIkYhBr2ggEAoFAIBAIBAKBQCAQCD4lItNGIBAIBAKBQCAQCAQCwWfLlzxtXWTaCAQCgUAgEAgEAoFAIBCkQ0SmjUAgEAgEAoFAIBAIBILPFrGmjUAgEAgEAoFAIBAIBAKB4JMiMm0ESUelovHk7nxdLC+6yGh2j1rBqwfPzMUVezakeLPKANz56zJH5m7FxiEjLf36YWOfESutNfsm/ULghTupIqdmvWr0HtYdvU7P9g272bJup0V5HsfcTJo7DoxG7sj3mDJ6JkajkYGje1OpRgWMRiN+UxZx7sRF/pfjK3wWeqHRWBP0OhiP/t6Eh4V/9ppUKhVDfQZTqFhBoiOj8B0xi8CAJ+byZp0a07xLU/R6PT/PXceJA6fMZe1cW5MtezaW+qwA4PtebWjasTGv/3sNwIzRc3h093GSdYzwcadwsYJER0UzdfgMHgcEmstbdGpCyx+ao9fpWT13LccPnCRztsxMXDgOmww2/PvsXya5+xIZEUmHXm2p16IOACcOnWbl7J/IkDEDExeNwyGzA7poHRMH+/Din3+TZSf3qYMoaNI3I56dmnRqTPPOTdDrDayd+wsnD54mR84cjJo1HCtrK1DBrJFzeHTvMXVa1Kata2v0Oj33/e8zZ8y8FM2xValUDJzSn/zFChAdFY3fSD+eBDw1lzfq2JDGXRqh1xnYMG8Dpw+eMZeVrFSSUXNH0KViVwBqt6xNG7fWGAwG9v26j91rf0+2nvRAarajxOp+nSsH42aPwspKOafTRs7i4d1HFC0lMdirPyqViv+ev8Rr4BSiIt//Wvsa9ariFscfbFu3y6I8j2MuvOeOxWiEu/I9fEbPwmg0MsSzP2VcnLGytmLL2h1sW7eLb3J9jdccD6ysrVCpVEwaPp0Hdx8m24Z1GtRg4PBe6HR6Nq/fwa9rt1mU58ufh+nzvTAa4Zb/HSaMnIbRaKRNh2Z06t4WKysrDuw5zIJZK8zbdOvdiew5vmLGpPnJ1hND9XpVcB3aDb1Oz86Nf7A9nq1yO+bCa+4YjEYjd/3v4+sx29yvcjvmYuaqKXSo0w2ATFkc2Hp8PXf97wPw154jbFyxOdmaUtOfx9ClV3u+ypGNuVMWJ1uPSqWi75R+5C+an+ioaOaPnMfTB7E+oX7HBjTs3BC9Ts9v83/l7MGz2GS0od/U/nyd52usNdYs9VzK7cu3aNGzBfU71ifov2AAFnosIPBe4NsO/W471a9G36E90On1bNuwmy2/7EhgpynzxmM0Grnjf4/Jo2dgNBoZ5NEn1k6TF3H2xAVGTRqCU/EiAHyVIxshwaF0bpw+X5v7IXyMtvWlEDNuKWgat0yPdz1uGm/ccvId45b6bb6jY5/2hIaEsfe3P/l9457UFkt+HzdsizlijIrm7vBFRAb8k6CO09qxvPzzDM/X7kvFQ6fe+M6plMSACX1RqeDli1dMGjiVqMgPfN24SkWGzgNR5y4AumgifpqD8UWsPusSFdA264IKFfoHt3mzfj5ktCVjz9GoMtiCtTWRvy1Ff+/mh+lIJleu+zN78SrWLJj+6Q6qUpFl5GA0hQtCVDQvp85E/zjWVpmH9semVEmMpnuAf0eMxxgWBoB9hzaos2UjeNHyT6dXkCa8N2gjSdJm4Lwsyz6mzw7AOeB7WZYvp4YISZJcgMkomT8OwG+yLM+SJKkhkFeW5WWpcIwAwEmW5Tcp3L4kkFWW5SOSJB0GbIEwU7EO+FGW5Sdv2z41kCRpgCzLC1LTLsnBqUE5rG00rG7lRa4yhag3rjO/9ZoNQJY82SnRsiqrWnhiNBjptmUC/n+epWgjF+4fv86ZVXv5qsC3tJrfnxVNxn2wFmtrK0ZMHEzHhj2ICI/g511L+evPo7z895W5zgjvQSzwXcq5ExcZ5zuS2g1r8OTRU5zLlaBzY1dy5vmGuWum065uV3oM+IGdv/3Brk176Du8J607N+eXZRs/e03VG1bFxkZL3+YDKVa2KP09+zCmhycA2bJnpU2PVvRq3A+tjZaF2/w4e+Q8KrWKUTOGUbSME3//ftS8L6lkESYPnsatq7eTpQGgZsNq2Nho6dW8P8XLFmPQhL6M7D7OpCMb7Xq2oXuj3mhttCzdPp8zR87R070r+7Yd5Pff9vLDgE606tKMI38ep0HrevRs0heDwcCyHfP5e89RylUti/+VW6ya8zNNvm9Il34dmOO5IMn6qjWsitZGS/8WgyhWtih9x/dhXE9LO/U22Wn+Nj/OHb1AjxHd2LZmO8f+PEGFmuXp5dGTyQN96DmiOz2+60Xkm0jGLxhD5e8qcWL/yWTbrEqDymgyaHFvORSnMk64je+FV8+JAGTNnpUWPZozsMlgNDYaZm+dyYWjF4mOiib7t/+jTa9WSjDJRK9xrvT+rjcRYW9Yfmgph3f+TWhQaLI1pTWp1Y72bT+UaF23ET3YtHobR/Yeo2LNCvTz6MVoV088Zo5gTK8JPA4IpHmnJnyT+2se3n30Tq3W1lYMmziILg1diQiPYM2uJfz95zELfzDMexALfZdz/sRFxvqOoFbD6oQEh5LHMRc/Nu2NRqth89+/cGD3YfqN6sXGVVs4vPcolWu5MHBMH4b3HJMs+1lbWzNu0jBa1utCRHgEv/2xmgN7/+a/Fy/NdcZMGspsn0WcPn6eSTPHUK9RLfxv3KZT97Z0auFGVGQUQ0b1wdraGitrK3z8xlOqbAn27jqYLC1xsbK2Yqj3QLo26kVE+BtW7lzEkXi2Guo1gMXTlnP+5CU8fIdRs2E1Du85SuO2Dejg2pYsX2Ux13UqWYQ/tx1kxji/FGtKbX9uk8EGr1kelChTjAO//5UiTZUaVEJro2FEq+FIZSR6jO/JFNfJAGTJnoVm3Zvh3nQIWhstvlumc/HoRVr3acMD+QFz3Gfj6ORI/mL5uX35FgVLFmK2+2zuXr2bYhvF2GnUxMF0aNCD8PAIftm1jMN/HrVoUyMnDmb+tKWcPXEBz+kjqdOwBoGPnuJcrjidGvUkZ55vmf/TdNrU+QHf8X7m/f68axlew3w+SF96JLXb1pdGddP1uN9bxi1t441bzr1l3JI5ayZ6juiOa8M+hAaFMufXGZw/doF/Hj971+GTRdaGLqhtNFxv7oF92SLkm9CNW92nWdTJM6oTVpntU+2YMaTm+G7kjKGMd/MmMOAJTTs25uvcXyf5odzbsC5dBTRawqcNwaqAExm+dyNioZdSaJMRm7a9CJ85HGNoMNoG7VDZZ0Zbpzn6mxeJOrgN9de5ydjLg7DJ/T9IR3JYtW4Tu/YeImMGm092TIAMNauh0mp54ToQbYmiZBncl/9GjDeXa52K8O+gkRiCgmM3stGSbcxwNMWdiDh0NJG9/v/k//tCxH2APpIkFTN9ngEsS62AjYkFwCBZlr8DqgEdJEkqI8vy3k8dmHgHbYBicT53lWW5tizLtYGtwPBPoGEcQFrZJU8Fibt/K6c98OIdvnXOby4LfvqS9V19MRqUzqK2tkIXGc2plXu4sE4ZzKut1Og+NHJvIn9hRx7df0xIUAi6aB0XT1+hXOUyFnWKOjuZn0IdO3SSSjUq4H/tFn06DAHg29zfEhKs3LhO9/Rj9+a9qFQqvs75NSHBIV+EJmeXkpz+6ywANy7cxMlZitVS2omr564THRVNWEgYgQFPKFi0AFobLXs37WPtvPUW+yriXJgfBnZi4TY/ugzomCwdpVxKcvKwkgly/cINCx3Fyzhx5ew1s47HAYEUKlpA2eYvZZuTh05ToXo5nj15zpDOIzEYDABYWVsTGRnFrys2s2buLwB8nSuH2YZJpWSFEpw5HGsnqVQRc5lTaSeuxdEXGBBIgaIFWDxxCScPnlZ0WFkRFRlNdGQ0A1oOIvJNpEmfVZIyMhKjuEtxzh0+D4D/RX8KOxc2l0mli3Dj7A2io6IJDwnnScBT8hfNj8ZGw0Cfgcwfu9BiX/f972PrYIfWRgsq1Wd7UUutdvS2uvMmLub4ASXAZmVtRWRkFHkL5iHoZRAd3NqyaIsfmbI4vDdgA4n7g7KVS1vUKeoscd7kD44fOknFGuW5cu4aXu7KjarRaMTKSo0uWsdsr/kcO3DCrC0qMjLZ9itYJD8P7j8iOCiE6Ggd505fwqVyWYs6JUoV5fRxpd39ffA4VWpWpGrNily9dJMZC7zZsHMF589cRqfTYWOjZevG3SyavTLZWuKSv7AjjwICCQkKRRet4/KZq5SpVMqijpOzxPmTlwAlw86lenkAgl+H4NZqoEXdos7S/7V35nE21f8ff94ZM5gFiVZaqN4UkRCS9n2T0l6/lEi00GLJWiIKScqWUrSQtO+pb4sSJVJ5y561lH0YZvn98Tl35s6YsZvPwfvp4XHPPffcO68598w5n/P+vN+vN1VOPoGhbw3iiWGPcvAhB++apj14Pk8snsi7Yz9k+MCXdlpLlBPrnMRPX/0MgE7TPOeEE2qewB9T/yBjcwZp69JYtmAZx1Y5llqNapGxZQs9XnmU6+67np//595/XPXjaNr6WvqM78M1rZvusqZKJxzLovmLWRvsp59/nM6p9Wrm1X2yMGWS+7nfxOynltfdD8ARFQ5j7Zq817cb77iWSV9N5s8/di+oFEb29LG1v1E937hFtjFuWZxv3PJyzLjliKMPZ+7vc1m3eh3Z2dnM+kU5sdaJW/283aFU3aqs/sp9T+t/nk3KyZXzvF720vpkZ2Wx5qs9nxG1p8Z3FStXYO2qtVx75zUMerM/pcqk7nbABiD++GpkzJwKQOa8WcQfnTuuij/uRLKWzKd405YkPdyP7LWryV6/hvTP3mLz10EmcHw82Vt2bfy0q1Q84nCe7rX7E8s7S/Ea1dj0g/suN8/8g8Qqud8lkQjFKh7JQR0foPywZ0i6/CK3OjGRDR9+yroXxxS5XsMP2820UdWVItIGGCEinYBKwOMi8hFQEtgItFDVv0SkN1AbOBiYrqrNRKQ70ABIAe4A+gClcZkqj6jqp8AKoI2IvAj8ApyuqptF5DagCjAEeA34C6gM/KiqrUSkPDAKKANEgFuBv4EXAg3ggkG/FvS7iUgF4HmgBHA40FlV3xaRx4Gzg/0zHhgN3AZsFpGfC/iossB6ETkr+P02A8OA5bgMok3Av8DtQE2gI5AOVAx+t3OAGsBAVX1eRM4v4H2tgbIi8hzwIy5rqIOIPABcj8v2+VpV2wf7/FjgEOBooK2qflLQPtgZiqeUZNO6jTnPszOziMTHkZ2ZRVZGJhtXuQHEeY/cyPLfFvDf/NwU0eTypWk88G4+6fHK7soAICU1mXXrcgcsGzakkZqanGebSCR3OW19GinB65mZmdzToSU3Nm9K70f652wTHx/HuImvULx4IkP7j9wvNCWnJLF+3Yac51lZmcTHx5GZmUVyajIb1ua+lrYhjeRSyaxfs54pX//ExddemOezvnjnSya89A4b1qfR64UeNDivXp50223qSE1mQ8wAMysri/j4eDIzM0lOSWZDzH5LW59GSqkUkmLWR9dlZmSy5r81ANzTtRWzZ/7JX/MW53zms2P7U7lqJe69fudiqMmp+fZTZlbMfsr7Wtr6jaSkJrNmlZvxqFipAq26tKDzHd3Izs5m1crVAFzVrDElk0sy9eufdkpLlKSUpDzfT1ZmFnHxcWRlZrnX1uWWym1cn0ZyahKtH7ub8UPH8+/yf/N81kJdwOAPB7EpbRPffvRdns/dl9hTx1Fh20aPraMqV+Terq14+PbOlClbmuq1q9HvkYH8tWAJ/V7uzR/TlZ++2/YgPDk1Oe9xsyGN1NS8s62RmBPChvVppKSmsDl9M5vTN1OsWDyPPdOZt155l41pG9mY5s69R1c+irZd29CuWced3X1bn6PWbyC11LY1pZZK4aCyZahb/xSaXtKMEiWK88YHI7nq/FtYu2Yd3371A1dff/lOa4klOTWJ9WtjdbnvY1u6oq9HA1mxLJiziD9mvMCP3/zERU3O5+HH76f9nV222m5b7Onz+bo16/j+fz9yxXWX7JSOWJJSSpKW5zyVme+ckPvaxg0bSSqVRKmypUgpnUK3W7py9tXncHvnOxjQtj9fv/c1H476gLT1aXQa9gh1zq3DlC+m7LSm5JS8x3n0mImloGMK3H66t+Nd3NS8Kb065V73iiUUo+mtjbnhott3Ws++wN4YK+xPJOc7lmPHLUnbGbdcFDNu+Wv+Eo454RgOKncQaevTqNXwlJzxwp4iPjWJzLW51+LsrCyIj4PMLErKUZS76gxm3/kkFdpdu0d/Luy58V2Zg0pT7dSTGPDIIBYvWELfUY8za4by83e/7Ja+SIkk2Bgz1sjKgrg4yMoiklKaeKnBhkdbkZ2+keSH+5M573eyVrgSzUipgyh5R3s2vbHzZaS7w/lnN2TJsj2XibWjxCUnkb0+d19lZ2XmHEeRkiVYP/Zt1r86DuLjKP9cf7b8MZstc+aRPnkqSZdeuI1PPvDI2kcnJXeEHTIiVtX3gFnAi0Az4CngGVU9K1h+QkRKAatU9Xxc4KaeiBwZfMQfqtog+HnlgMuBG8gNGt2EC9w8jwu69BOR/LlpJ+CCPnWBS0TkMFzmybvBZz8QvNYJ+CLIgGkRfGZhVAH6BZpb4AIjUT03AmcAq1V1CfAS0F9Vo8YRL4vIVyIyEaiAy0ACKKGqZ+ACPcOAJqp6JvC/QC/B9lcDrYJ1twAXAy1FJFLQ+1T1ceA/Vb07Kj4o2boWFxRrABwvIpcFL6er6sXAfUDbbeyDHSZ9/UaKJ5fIeR6JcwGbKPHFE7jqmdYkJpfgo84v5qw/RCpyy6udmNh3LIsmz9otDW3at+CFtwbzzKgncwYxAMnJSVvNOkWzfsDdAMe+PuiJoZxb4wpuu/smKhztDtOMjEyuanQjPR7sw+ODuu7TmqJsWJ9GUkrJnOeROHdBB9iwbkOe15KSk7ZZMjNuxFusWbWWjC0ZTPpiMsdXO27HdazbQFJKUs7zuEgcmZmZgcYNJCXnvpaUksS6NetJi1kfXQduxrrH4M4kJZfkyY5P5/k5ba5tx11X3Uvv4T12WJvTl5ZHQ1xcJGY/peXTVzLnBrNmgxr0fKEHve7rkzMYjEQitOrcgtpn1KLrnTunI5a0Ar67rEBT2vo0Ssa8VjIliS1bMqhWtxo3tb2JvmP7kFomlY6DO3BslWOoe05dbm1wG7fWv40y5cpwxqUNd1mXT/bUcVTYtgC1GtSk78iedL+nF4vm/sWaVWtZvGAJC+YsIjMjkx++/JGqNWJmwfJxd/s7Gf7WIJ4e1YeU1JifkZy0VbZcNGMM3AA8ej5ILZ3Ks6/1Z97sBYwclBvorn16Lfq/2Jsu9zy2U3427TrezZh3hjFs9ABSUmLOUSnJW2U45Ne0ds06Vq1azeTvfmLD+jT+XbmKObPnc2zlo3f45xdGq/bNGTr+Gfq/9ATJsefOlK3PRfl1rV9TeObhlG9/YmoQVPvyo6+RascXum1+9ub5fHdJW78xz999/nNCUnLMOSG5JBvWbmDtqrVM/sxlBP74+WSOO9mdt9994R3WBufzqROnUOmkvBkC2+OeDi158a3nePblviSn5P3utj6msgt9/ZneQzj75MtpdvdNVAz2U/1Gdfjph1/y3JDuD4T52AoT2xq3pK3bkOdvYFvjlvVr1vNsj+d5bHg3uj33CLN//TMnML+nyFyXRlyMHiLuRhugfNMzSTysLCeO60H5a8/m8BZXUPqsUwr5pJ1nT43vote4hcE1bvJXU/Jk7ewq2ZvSoETMvomLuMANkL1+LZkLZpO9dhWkbyJj9q/EVXTnoLgjjyHpgT6kT3iRzNkFzrnvd2RtSCOSFLuvco+j7E3prH9jPNnp6WSnbSR96jTnfWMccOxM96iXgclBAKM60CnwdukKHIrLuDlERF4DhuIyaxKC9yqAqv4WvPYa8BwQJyIlgFqq+piq1gWOB47CBVFimaOq61Q1E1iGy44R4Pvgsyep6phA2+2BtuG4LJjCWIYLlLyCKwOL6r0JeAL4BJfFUxC3qupZqnqOqrZS1egoRIPHcsDaYH8BfA2cFCzPVNUtwGpgrqpuBlYFv9O23pefKsAPqrpFVbOBb2K2jU4D/xV87m7z19TZHHd2TQCOPOU4/ta8JQLXDW/Hit8X8mGnkTkDjnLHH8nVz93LhHsHM/er3a+oe7bPMO5o0pqzq19CxWMqUKpMKYolFOPUejWZPnVmnm1nzZxN7QbuAtnwnPr8PPkX6p5+Kp16uyyMzenpZGzJIDs7i0eeeJA6p7sygbT1G/LcIOyLmqL8OmUm9c85DYATa1Vl3h/zc17745dZnFy3OonFE0hOTebo449ivs4v8HOSU5MZNXEEJZPcoXTq6aegM2bvsI4ZU2bS4Jx6AJxU60TmzpqX89pv02ZR47STSSyeSHJqMsccfzTzdL57z7nuPfXPOY3pP84AoO+LPZnz+1z6tO+fs09ubXMjF119PgBpGzbm3MjsKDOn/ka9c+oCwX6albsfZv0yi5NPi9lPx7n9VLNBDe7p0ZqHb+6YZ1880KctiSUS6XxHt5wyqV3h9ym/U+ecOgBUOaUKC2I06S+zqVb3JBKKJ5CUmsRRx1VEf1Gan3UnD1/bnoevbc+61evo3foJNqxLI33TZjZv2kxWVharV64mpXTqLuvyyZ46jgrbtlaDmrR79B7uv/FhZs1wp/IlC5eSlFySCse4m6Oap53MPF1QqMbn+gznzib3cF71y4LzQSrFEopRq16NAs8Hpwbng9PPqc+0ydMpXiKRoeMG8s5rHzB8wEs529Y+vRYPPXYfbW5sx+/Tdy743b/3c9x0ZQtOq3o+R1eqSOkypUhIKEbd+rWYNmVGnm1//1U57fRTATjz3NOZ+sM0fpo8ndNOP5XE4omUTCrB8VKJhfO3XyK2PZ7vM4KWV9/LBSdfQcVjjszZV6fUq8GMn/LuK535J6cG5WUNzjmNaZNnFPCJjs792nPOpWcCULfhqfwxQwvdNj9763y+J/hj6u/UPtuVhckpwsJZC3Jem/3LbE6MOSdUPK4CC3Uhf0z5ndpnu/NItbrVWDR7EUmpSTz72WBKBOfzk0+vwZxfd65BwKAnhtKsyd2cWe0Sjjo2dj+dUuB+qtPAXcvOOKc+P0+eTt2Gp/JI7H7KyCAr2E/1GtXl2y923gcs7IT52AoTM6fMpN42xi01dnDcEh8fxwnVjqPNVffT7a7HOPq4o/h1yswCt91V1k2ZxUHnuGM7pdYJbJy1MOe1RT1fYeZlHfj9mq78M/ZLlg17d4+WSe2p8d3SRcsomVySI485AnBlV/NnL9htfZlzfqNYdTeuiq9UhazFuZ+ZtWgO8UceQySlFMTFUaxSVbKWLiLu8KMo2bILG4c/QcbMnc/821fZPGMmJRq47zKxWlUy5uSObYodVYHyw55xgZz4eBJrVGfzrJ33ljxQyC7Cf0XNrnaPmgU8paqTRKQKcCYuU6Siql4XlC1dhStZAsiCnMyQVFW9VEQOBybhAi+jReQcVZ2tqv+JyEJc+VAsBe2dP4A6wHQRaQRcGmgbraqvisghwLbaDjwGDFfVj0SkGXBbkOHTFJcJBPC7iLwe/A47EuSKXkFXAqVE5HBVXRbso+id3ba+6W29L5Jv21nAAyJSDMgEGuGCazW28zN2iVkfT6VSw+rc9lY3IpEI7z44lNOaX8yqBSuIxMdx9GlViE8sRuWznBfBxL5vcHqrKyhWPIELut0CQPq6jTnmxbtDRkYmT3V7hiGvDyAuEseE19/n7+X/UOmEY7jh9mt4vMNTPNX9Gbr160hCQjHm/bmQz95z5o8XXHEOo94dSnx8HG+8OJ4li5YxZsQ4uvR9mJbtbic7K5vHOzy5HQX7hqavP/qW2o1O5bl3niESidC7bV+ua3ENi+cv4bvPvmf8yAk8+9bTxMXFMbzPyEK7BWxYt4HhT7zAwHH92LJ5Cz99O40fJv5Y4LYF8dVH31CnUW2GvfssESL0bNeHG1o0ZfGCJXzz6STGvTCeIROeIS4uwtAnRrA5fTMvPv0KXQZ25MqbLmX1f2voendPzryoIafUq0liYiL1z3YXuOd6D+P91z+iy8COXHHDpcTFx9GzXZ+d2k/ffPQttc+oxbNvDyQSidCn3ZM0vfNqlixYyqRgPz0z/mkicRFG9H2RzelbaNP9bhISitHx6fYALJr7F++Nfp9Lrr+IGT/+yoCxTwHw5gtv8e3H3+2UHoDvPp5ErTNOYcCEfhCJ0P+B/jS58yqWLljKD59N5p2R79Jv/FPERSK81HcUWwr57v5e8jcfjvmQ/m89xZbNGSxbuIzPxn2203rCwJ46jjZt3FTgtm17tKFYYgJdB7rSo4VzF9GnfX8ef6AvPQZ3JhKJ8OvUmUz6YvtlgRkZmfTrNojnXh9AJBLhndc/4J/lK6l0wjFcd/vV9O7Qj/7dn6Vrv/YkJCQw788FfP7el9zQvCkVjj6CJjdfTpObXdlRt/t78dCj95KQkMCjz7iEzQVzFvH4wzt3TsjIyODxLv15adxg4uLiGDfmHVYs/4fjTjiWW5pfR7eHn6BX1/70GtCFhIQE5s6ez0fvfk5WVhZjx7zDuA9fhAg8+9Rw1qxeu/0fuINkZmQyoPuzDHqtH3Fxcbz7mttXx55wDNc2a0Kfjv15usdgHnnqYRISirHgz4V88f5XhX7es48PpeuADjS97So2pm3isQd27nwAe/58vif4/uPvqXnGKfR960kikQgDH3yaK5s3ZtnCpfz42Y+89+J79HmzD5G4OF558hW2pG9h7LNjuafvvTw54SkyMjIY0LY/aevSeKXvy/R6oxdbNm9h+nfT+enLqbukKSMjk77dBjLs9aeJxMUx4bX3cvbTjbc3pWeHJ3my20C69+tIQmIC8/9cwKfvTQTgwsvP5ZX3hhEXH8drMfvp2MpH8e7YD/fIPgsjYTy2wkTsuIVIhCfa9uXaFtewJBi3vDlyAoOCccuIbYxbolknIz4Zwub0LbwxdFxOWfOe4r+PJlO6UQ1OercXEGFuu2c5rMXlpC9YzqpP927QYU+N7zK2ZNDnwafo+uwjRCIwc+rvOX59u0PGtO8odmItktoPgEiETS/1I/H8q8n6ewkZ039g01sjSbrf+bdtmfo/spYuoGTr7kQSEihxfSsAsjduyDUv3o/Z+NW3FK97KuWHD4IIrHqsLyk3XEPG4qVs+mYSaR9/ziEvPEt2RiZpH35KxvwFviUbHojsqCFl4Ndyl6peLyKVyPWCKYkrwZkPvIfLuMkO1rcFzgeWq+qQIKtmNM5rJQ4YqqqviEgDoC8u0yUbmBK892ZyPW1eV9V6gZYfcD4uG4CRuI5T2bjyqTU4T5syQCmgu6q+G3SP+pfcYMaruEybzsH6xUANVT1JRLriAkAbgenA/cAluBKo1kC3YF/kme6M3UfB8/NwgaEsXCbNbUC1mP1YBRiiqmeJSBlc1kyVgt4XeAt9CSwBPifX06YdcF2wP78F2gX6ovs852ds4+vlsaNvClUR4Lj0edvfyACgdHzS9jcqYrZkZ/qWsBUl4nY1Rr33KB5J2P5Gnhj981jfEvJweY3d803ZG6Rn7Rlj9T3J2oyN29+oiDkoIXn7G3lgc3aGbwlbcXTizpsm723mp6/0LaFAvpwZruDzudUv8C2hUL74dc+1mt4TXF2zsW8JW9E3u7RvCVvxUGTPlnPtCT64JH77G3mgZO8hviVsxYpLt5U34I8KkyfmTwLYbzi0dJUiu59dsWZWke7HHQ7aGPs3FrTZd7GgzY5hQZudw4I228eCNjuGBW12HAva7DgWtNlxLGizfSxos2NY0GbHsaBN0bM/B23CdxdjGIZhGIZhGIZhGIaxg2R58JopKnbGiNgwDMMwDMMwDMMwDMMoIizTxjAMwzAMwzAMwzCMfZb92fbFMm0MwzAMwzAMwzAMwzBCiGXaGIZhGIZhGIZhGIaxz5JlmTaGYRiGYRiGYRiGYRhGUWKZNgYAW0LW/E1XL/YtoUBOLHOUbwlbEbKvDoDESPhaQqaHsA35/jwjsKeJj4RvjqFEfKJvCVuxITPdt4StKB4Xztb2GzM2+5awFeuyNvmWsBUrNq3yLWGfIDM7y7cEYzcokxK+v72N68J3jkpoUN+3hAIJY3vtQz8Y4VvCAYd52hiGYRiGYRiGYRiGYRhFigVtDMMwDMMwDMMwDMMwQoiVRxmGYRiGYRiGYRiGsc+ShZVHGYZhGIZhGIZhGIZhGEWIZdoYhmEYhmEYhmEYhrHPYkbEhmEYhmEYhmEYhmEYRpFimTbGLhGJRLisZzMOq3oUGZu38E77Efy3cEXO6/XvuIjql7u2gLO/nM5XA9/aa1ouveQ8OnW6n4yMDEa9/AYjR75W4HZP9u3G7NlzGT5iNAAXXnAWjzzSlkgkwrRpv3LvfY/stpZG559OiweakZmRyduvvc+EMe/leb3iMUfSY+AjZGfDXJ1H7w79yM7O5v6urTml7snEF4tn/CvvMGHMe5Q75GB6Du5KQkICa1ev5ZHWj5K2IW2n9EQiEdr1vo/KJ1ZmS/pm+j7UjyULlua8ftmNl3DFzZeRmZnJywPH8P3nP+S81rR5E8qWL8vQ3q5l4flXnct1LZuSmZnJh298zDsvv7fVz9tbmg454hA69H+Q+Ph4IpEIT7bvz19zF3PulWfTtPnVZGZmMm/WfPp3HLjDUfZIJMJDve/nuBMrsyV9C70fepLFMTquuPFSGt98OZmZmbw08BW++/wHSh9Uih6DO1O8RHFWrviXnm37kL4pnft7tKFG3eqkrXffz8O3d2bDug0AnFKvBt0GdaJxnev2yf0UViKRCA/2vo/jTqzM5vQtPPHQU3n2z+U3XkrjYP+8NHA0k4Lvr/vgzhQvkcjKFf/yeNu+pG9K5/qWTTm/8blkZ2Xx8qBX+frjb4mLi+Oebq2oUkNITEzghf6jmBTz91GYpj11TEU/r9/Lvfnm0++Y8Eru39vRlSsy4v3nuLRmEzanb9npfXf2BWfQ5sHmZGRkMv7Vdxk7+u08rx91bAX6DOpOdnY2s/+YS4/2fcjOzua5l/tx0MFlyNiSQfqmTTS//j6qVheGjRnAgnl/AfDaS2/y4duf7ZSeXfkuo1zb/GrKli/LkN7Dc9bd2/1uFs39i7df2bVzVJSzLmhIq3Z3kJGZyYTX3uPN0e/kef2oYyrw+DNdyc7O5s9Zc+nZ4Umys7O5t+Nd1G9Uh+xsGNBzMFMm/cyRRx1Or2e6EYlEWLp4Gd0f7M2mjTvXnj0SidC2173unLB5C0/mOydceuMlXHHTpWRmZvHKwNF8/8VkDjniENr3e5D4YvEQgX4PD+CveYtz3vNAn7asW72OYb33TGvaCy46mwfbtyYjI4NXR49n9KhxBW73WK+OzJkzn1EjXwcgLi6OES8NYPSoN5n4xTd7REsY2dVjCqBEyeKMeX8EA3oO5tsvc/8GbmlxPeUOKcuAns8V6e+ytwjjuCWfQA7t3poSVY4le/MWlj0ykC2Llm21TYXhPVj/+Q+sfv1DiIvjkI53UqLa8UQSE1g5aAwbvvpxt6WccX4Dmre7jcyMTN59/UPezjfmrHDMkXQf2Ins7GzmzppPn479c46nCsccyVMjH+f6c24D4OBDDuaxZ7uQkFiMtavW0qXNY6Rt2LjL2rKys+n1yQxm/72GhPg4ul1Sk6MOSgFg1oo1PPn5rznb/rp0FQOurst38/5GV6wB4N8N6aSWSOCVWxvtsoatiEQo8/B9JBxfGTZv4b9eT5G5OPfYKt2uNcVrVCc7GGuvfKgL2RvcWC7l+quJK1uWtc8NL/Cj9yYzfptF/+dH8tKzfYv8Z+9rZO3jY9ttsUczbUTkTRHpGPM8VURURGrsoc+/RUSei3k+VER+jXl+m4g8HTxeEaxrE/PaEwV8ZpyIdBKRb0TkKxH5UkSq76K+s0QkW0Suz7d+hoi8tCufGVaqXHAqxYonMLxJdz7r8wYXdr4p57WDKpbn5CtPZ3iT7gxr3I3jzqjOoVUq7hUdxYoV48knu3HpZTdx3vlNueP2mzjkkHJ5tilXrizvvvMyl112fs66lJRkevfuzFVNbuOMRlewcOFflCtXdje1xPPAo/fS6rq23HFVa66+5UrKljsozzYP9LiXwX2Gc0fju4kQ4ayLzqD26bWoeMyR/N9lLWl2RStua3MzqaVTua3Nzbw/9iPuaHw3s2bO5qqbLt9pTWdcdDqJxRO5+4p7GNp7BK273pXzWtnyB3HN7VfRuvF9PHhjB1p2uIOExAQSSyTSZVBHrrrtyjyfdXeXlrS9/iFaN76P61o0JaV0yi7tp13R1PzhZrz14jvc1/QBXhn0Ki07NCexRCLNH76d+5o+QOvG95GcmkyD8+rtsI5GFzUksXgiLa5ow3O9h3FP17vz6Lj29ia0bHwP99/4MK063ElCYgK3t/0/Pn37C1o1uY/ZM//kqlvcd1Ll5BO4/8aHaN20La2bts0J2BxyRHmub9GUYsV2Pj4elv0UVqLfX8sr7mFI7+Hc07VVzmtlyx9E09uv4q7G99L2xvbc1aE5CYkJNGt7K5+9/QV3N7mf2TPn0PiWy0kplUzTO5rQ8oo2tL3xYe7r0RqAi645n2IJxWjV+F7a396FCsccucOa9sQxBdCy/R2klknN8zOSUpK4p9vdbN6888EacOepTj3b0axpG26+sgXX3XoVB5fPe+7r+Gg7BvR6nhsvv5NIJMJ5F58JwDGVKnLDpXdwS+OWNL/+PgCq1ajCi8+P4ZbGLbmlccudDtjArn2XiSUS6TaoE01izlNlypbmqVd60/D8Bruya/JQrFg87R+9nzuvu5fbGt9F05sbb7WfHn70Pp55Ygi3XtmSSCTCORc1okq1E6hxajVuuPgOHmzZmY492wHwYNd7GfvyW9x6ZUumTPqZ/7vrxp3W1DA4J7S+8l6G9R5Bqy55zwlX334Vba66n4du6sCdHd1+uv2h25jw0tvc3/QBxgx6jTs73pHznstvupRKVY7dxT20NcWKFaNn7440vep2rrzkFm697TrKlz84zzYHH3wQr785nAsvOSdn3THHVuS9j8ZQ85RdGnrtM+zqMRWlc++H8wTbi5coTp/nenBDs2uK7HcoCsI4bokl5fz6xBVPYOF1D/D3Uy9ySIfmW21Tru2txJfK/VmlrzyHSLF4Ft3wIEvufpTEow/fbR3xxeJp1+Me2lzfjhZN7uGqmy/faszZrnsbnn9iOHc2bkMkAmde1BCAS665kF5DulPm4DI52/5fmxv5YNxH3Nm4DTrzTxrvwpgzli9nLyM9I5OXb23EfWedSP8vfst5rcqhpXnhpoa8cFNDrjv1WM6VIzi90qE8fF51XripIUOub0BK8WJ0vajmbmnIT4kzGxJJTOSf5vew5rnhlLmvVZ7XE6ucwMp7H+afu9vxz93tXMCmeCJle3Qi+ZorC/nUvcvIMePo9sRANqdv9vLzjfCwp8uj7gLuEpETg+dPAsNUdfoe+vzPgYYxz+sAf4vI0cHzs4GPVfUlVX03WNd5O5/5MFAOOFNVzwqevyMiCbuocRaQE7QJAkDJu/hZoeXoOsKf/3Nf6+Jpcziyeu7Ab82y/3jl//qQneUGF3HF4snYhdngHaFKleOYO3cBq1evYcuWLUyaNIWGDU/Ls01KSjKP9ezPmFfH56yrX682M3+bRZ8+Xfjii/Gs+HslK1f+t1tajj3+GP6av5h1a9aRsSWDaZNnUKt+zTzbVD1Z+GnSNAC+m/g9pzWqzYypM+netjfgajHj4+PI2JLBU10H8sGbnxCJRDjsiENYt3bdTmuqXrc6k7+cAsDvP/+BnCy5WmpW4depv7Fl8xY2rNvA4gVLqVy1EonFE/l43Ke8/MyreT5r7h/zSElNJrF4IpFIBHYxmr0rmgb3eJ7vv3CzafHF4klP38yW9C3cfeW9OVkJ8cXid+qiVqNudX740s10/fbzH1Q9+YSc106sWZUZU2fG6FjCcVUrUaNutZz3fP/lj9Q+41QikQgVjz2SDn0fYOjbg7jsuosBSCyewMNPtOOpTk/v0/sprJxctxo/BPvnt5//oErM/jmxZlV+zfP9uf1zcsx3/sOXk6l9Ri02pm1ixeIVlEwqQYmkEmRlZQFQ98w6/LN8JU++3IsOfR/gu8++366mPXVMAZx9aSOysrJyXovSoe8DDHliBOk7maURpfIJx7Jw/l+sXbOOLVsymDp5OnXqn5Jnm2o1qvDjpJ8A+PqLSTQ4sy4Hly9LaulUho4ZwGvvj+Cs892l+KSTq3Lm+Q0Z8+4wHn+6C8nJSTutaVe+y+LFE/lo3Ke8/MyYnG1LJpdkZP9RfDx+5wNH+al0wrEsmr84Zz/9/ON0Tq1XM882J55chSmTfgbgm4nfU79RXWbNnE2L61xA64gKh7F2jTtvVz7hWL75wh1D036cQa26Oz+XVb1ONX78KuacUCP3+KpSswozp+TupyULllCpaiWef3QI338xGYD4+PiczKyTTj2RqqdU5b3R7++0jsI4QSozf94i1qxey5YtW5j8/U/UP71Onm2SU5Lp23sQ417PzTBJTk7i/nse4btvJu8xLWFkV48pgNta3cQvU2egv/2Zs23x4om888aHDHv6xSL7HYqCMI5bYkk69STWf+POj5umKyWqH5/n9dQLT4esbDYE2wAkn1GLjBX/UmFYdw7reS/rJ+7+sX7s8cfw14IlrFuznowtGUz/8VdOqZf3vFLlZOGn738BYNLEydQ9ozYAa1evo8VV9+TZtn/XQXz45qdEIhEOPeIQ1q1Zv1v6pi3+j9MrHQLAyUeW5bflq7faZuPmDIZ8M4uHz6uWZ/3rP82j/rGHcPwhpXZLQ36K16jGph/csbV55h8kVsk9tohEKFbxSA7q+ADlhz1D0uUXudWJiWz48FPWvTimoI/c61Q84nCe7rW9W1kjSnYR/itq9mh5lKquDDJbRohIJ6AS8LiIfASUBDYCLVT1LxHpDdQGDgamq2ozEekONABSgDuAPkBpIAl4RFU/DTJZygJH4gIkPwOXAs8BdXFBo+7A8uCzywbZOT8C9UTkU6A88LyqDgNaAKeqalbwO0wRkTqqukVEvgLuUtVZInIXcBjwEvAe8C/wIXAJ8DdQFugNTAdEREqr6hrgZmAMcBTkZP40wQVyVgJXATcGn5MEVAb6qOpLInIm0A0XXEsBblTV2SLSJXjfP8F7ugDTgBeC3xngXlX9VUQWBvvpd1Vtu7PfaWEUTylJ+rrctMmszCzi4uPIyswiKyOTtFXuZH9hpxtZ9vsC/p2/fE/96DyUKpXKmjW5wYx169dTunTemekFC/5iwYK/uPDCs3PWHVzuIM5sVJ+6p13E+vUbmPjFeCb/8BN/zpm/y1qSU5NZH2RYAKRtSCM1Ne+sTiQSyVnesD6NlNQUNqdvZnP6ZooVi+exZzrz1ivvsjHN7dv4+DjemDiKxOKJDOu/8wOz5JSknKwPgKysTOLj48jMzCIpNZkNa/PqTS6VzPo165ny9U9cdO2FeT5rvi5g+EfPs2njJr7+8FvWx7x3b2tas2otABUrV6B1l5Z0usOlj69auQqAJs0aUzKpJFO+/okdJTklKc/3lZmVlaMjOTUpz++XtmEjKaWSSU5JztGetj6NlNRkSiaVYNyLE3ht6Dji4+N4dtwA/pihXHt7E14d8gb/LF+5T++nsJJ//2Tm2T/5v7+04PvL/c7T1m8kOdXF01cs/YfRX75IfHwcrzzryivLlC1FhWOO5KFbO1Gz3sl06v8wra++f7ua9sQxVUmO4YLG59KpRXdub3trznvuaPd/TPriB+b8PncX9xqkpCazfm3uYHzD+g2klso3+5znPLWBlNQUEhISePG50Ywa9jqlDyrF6x+8wIxpvzFj2m+MG/02v82YxV1tb6fNQ3fSp/vAndK0K9/lujXr+fHrqVwSc55a9tdylv21nHpn5w3c7wopKcmsWxe7n9K22k+x5/O09RtIKeWOp8zMTO7teBc3N7+WXp36ATDrt9mcfeEZvDP2Q86+8AxKJpXcaU3JqXmPr6zMfMdX7PVn/UZSUmPOCZUq0KpLCzrf0Y2yh5Tl/9reSpfm3Tj78jN3WkdhpKamsDZmcmH9+g2UyrfPFi1czKKFizn3/NwMkt9m6h7TEGZ29Zg67YzaHF2pIj0eeoJT6pyc8/raNeuY9L/JNL7u0r0vvggJ47gllriUJLLWxZSqZ2ZBfBxkZpF4/NGUuvwsltzTi3JtcrPp4g8qTcLRR7C4RXdK1qnG4U+0Y9FND++WDndNyXs8pWzjeIp9/dvPJxX8u8XH8doXL5FYPJHhA17aLX0b0reQUjx3/js+LkJGVhbF4nLzBSbMWMh5VY7koKTiOeu2ZGbx5i8LGH3rnjs3RYlLTiJ7fe4xkJ2VmfPdRUqWYP3Yt1n/6jiIj6P8c/3Z8sdstsyZR/rkqSRdeuE2Pnnvcf7ZDVmybMX2NzT2e/a4EbGqvocLErwINAOeAp4JslieAp4QkVLAKlU9Hxe4qSci0dzzP1S1QaCtHHA5cAO5AaYvgNOBi4GPgv8Xi8ixwEJVzYkkqOrjwH+qGs1R3wJciAt43B+sS1LVVfl+h3+382seBlygqtHiwtdU9TwgM3g+HmgiIhFcIGkSuFIsXFDlPFU9LfidotNQpVX1MuAKoEOw7iTg5mDfvQU0DUrNLg7e1xiI5lh2Ar5Q1bNxgajng/UVccGePRawAUhfv5HE5BI5zyNxLmATpVjxBK4Z2JrElBK833nPzwJ17/4Qn346lvFvjswzKExNSWH16rXbff9//67mp5+ms2LFP2zYkMa3307m5Bon7ZKWu9vfyfC3BvH0qD6kpObOMiclJ22VHROdxQc3MFkXXHBTS6fy7Gv9mTd7ASMHvZKzTUZGJlc3upmeD/blsUFddlrbhvVpJKXk3hxE4tzAByBt3QZKxryWlJzE+kJmVipVrUS9c0/juvo3c+1pN1GmXBnOumzX6ox3VdMpDWrS64VH6XnvE/w113kyRCIR7u7SkjqNTqXLnd13WkdySu73FRejY8O6NJJSYr/Lkqxbs54N6zeQFGQSJKW4AdOmjemMHTGe9E3ppG3YyE/fTUOqHU+N06pzR9v/Y/C4AZQqk8qjz+3c9xeW/RRW8u+fuDz7J//35/bPhvVpMd9fSdavXU/9s0+j3KFlaVr/RprUvZ4zLjydqjWrsGbVWiZ97jIjfvlhBhUrVdghTXvimLr4mgspf1h5nh3bn0uvvYjrWzSl3ll1uKjJ+Vx+/SUMHjeAsuXL8vSrT+7w/rq/YyteeXsoz7/Sn5TU3OTP5JRk1ub7u8/Oc55KZt3a9az8eyWvjRpPZmYm/61cxe+/KpWOO5rPPviS32bMAuCzD77kxOrCzrIr3+Xe4t4OLXnxred49uUnSUmJ3U9JW808Z2XlzrQlpSTnef2Z3kM46+TLaHb3zVQ8+kj6dhvI2Rc24sW3nnOB1P9W77S2Detyj1+AuLhI3uMr5rXo8Q1Qs0ENer7Qg1739eGveYs567JGlC5bij6v9OLG1tdzbuNzuKjpBTutJ0rHzvfz9vsv88rrz+WZqEhJSc4zqXKgsrvH1NU3XsHxVSrx4lvP0fCc+rTr2oYqJ+XN7tifCOO4JZas9WnEJccEXePcTT9A6cbnUuzQchz1cm9KX3UeZZtdRfIZp5K5ei0bgqzJjVNmknjMEbv881u1b87Q8c/Q/6UnciYeIJg02Op4ysr3+rb/HjMzMrn2zFvo9VBfejyze9kdycUT2LA5I1dLdnaegA3Ah78tpkmNo/Os+2HBP9SqWI7UErta8FA4WRvSiCQV/N1lb0pn/RvjyU5PJzttI+lTpznvG2OfIis7u8j+FzV7q3vUy8BkVV0CVAc6BVkrXYFDcRk3h4jIa8BQXBZJ9K9TAVT1t+C113BZNFGtnwFn4IIvHwfbVQDOAj7ejq6fVTUbl4UTHd2sCoJIOYjIVfnXAZGY5fmqGltfkH+a6FVciVQjIMdRL8jm2Qy8JiIvBLqjv/cvweNfQDQasgR4JvDDOTvYtirwo6pmBgGqqcG21YHbg/08HJf5A7ByB4JQO82iqbM54eyaAFQ45Tj+1r/yvH7j8HYs/2Mh73UamVMmtSfp3v1JLrjgWioedQqVKx/DQQeVISEhgYYN6zJ58s/bff+0X37lpJOEgw8+iPj4eOrWrcUff/y53fcVxHN9hnNnk3s4r/plVDymAqXKpFIsoRi16tVg+tSZebadNXM2pzZwpQinn1OfaZOnU7xEIkPHDeSd1z7IM7PR8YkHqH16LcANYrJ2YT/OnDKTeue4WecTa1Vl3h+5mUR//DKLGnWrk1g8geTUZI4+/ijma8GZRhvWrid9Uzrpm9LJyspi9crVpObLaNqbmk5pUJN7e7TmwZs6oDNm52z/YJ+2JBZPpNPtXXPKf3aUGVNmUj/QcVKtqsz9Y17Oa7//8gc1Y3Qcc/zRzNP57j3nuvfUP7suv0x2N/ND3x5EXFwc8cXiqVG3Gn9MV65v9H85HjdrV6+j692P7ZP7Kaz8up3vr0ae7+8o5ul8fp0ykwbB91fv7NOYPvlX1q1ZR/rGzWxO38Lm9C2sX7ue1FIpzPgxd/8fd2IlViz5e7ua9tQxNfjxoTS//G5aN23LB2M/5vVh4/jhqyk0bXhzzjH13z//cf+ND+3w/nq69/Pc0rglDU68gKOOrUjpMqVISChGnfqn8MuUGXm2/f1XpW4DV6bV6NwGTP1hGg3OPI1nXugDuIDTCVUqM3f2fEaOfZaTT3EB7waN6jJz+qwd1hRlV77LvcUzTwylWZO7aVTt4jz76dR6p/DL1F/zbDtrplKngTtHn3FOfX6a/AunNTyVzr3d97I5PZ2MjAyysrNocGZdnu71HM2a3E1mZhbf/2/nTUhnTv2Neue4cpkTa1Vl3qzc/TDrl1mcfFrMOeE4d06o2aAG9/RozcM3d8w5J7w18m1aXnI39zd9gFcHv84Xb0/k43Gf7tL+Aujd82kaX3YrJx53OsdWOooyB5UmISGB+qfXZsqP03b5c/cXdveYerhVV26+vAXNmtzNtxO/p/+jzzLrt10br+wLhHHcEsvGn34n5UxXZlSihpA+e0HOa/88OZKFTduy6JYOrJnwOf+9OIEN3/xE2k+/kRy8p3iVY9my7J9d/vnP9xlBy6vv5YKTr6DiMUfmjDlPqVeDGT/lHXPqzD85NSjTb3DOaUybPKOAT3S0790uZ3y6Yf3GPMH7XaHmkWX5dq7LEJmx5D+OL5/3tmrdpi1szszisFJ5sw4nL/iHhkFZ1Z5m84yZlGjgjq3EalXJmJN7rSl2VAXKD3vGBXLi40msUZ3Ns/bfvzNj36MoukfNAp5S1UkiUgU4E5cpUlFVrxOR8rjMl2hQJAtyvGBSVfVSETkcl63yPvA1LqsEVY2e9X7ElVNt7QaWN9hS0F3vKKCbiDyoqtki0gDoDwiwCZfJMguohQui5GiMIc9zVZ0nIsnAvUBHXJkYInIy0FhVTxORJOCnGH0FaRsOVFbVdSIyKtj2N+CeIGsnAYiaEcwCRqvqqyJySMy+2L2zbiH88clUKp9RnebjXTeMCQ8NpcEdF/PvwhXExcdx9GlViE8sxvFnufraz/u+wV8/z9njOjIyMnj44Ud5/73RxMVFGDVqLEuXLqdKleO5u9VthXaE+ueff+ncpQ/vv+c6Sb05/n1+/333UrQzMjLp120Qz70+gEgkwjuvf8A/y1dS6YRjuO72q+ndoR/9uz9L137tSUhIYN6fC/j8vS+5oXlTKhx9BE1uvpwmNzvjt2739+K1EeN4pO9DtGjXjKysLHp3eGqnNX390bfUbnQqz73zDEQiPNG2L9e2uIYl85fw3Wff8+bICQx662nXuaPPyEI70axY8jfvjn6fwRMGsmXLFpYuXMZHYz/Zpf20K5ru6XE3xRKL0enp9gD8NW8x777yPpfecDEzJv/K02Pdvnnzhbf45uPvdkjH/z76hrqNTmXYO4MgEuHxtn24vkVTFs9fwrefTWLsyLd4/q1niIuLY0ifF9icvoUXB46m69MduPLGy1j93xq6te7Jpo2b+Hj8Zwx/bzCZGRl89OanzI8ZxO0qYdlPYeV/H31LnUanMuSdQUQi8HjbvlzX4hqWzF/Kt59NYtzICTz31kAicXEMC76/lwaOpvPT7bn8xktZ898aurd+nE0bN1F7+iyGvTeY7OwsZvw4kx+/nsq0H6bzYO/7Gfbes0CEJzsM2AFNe+aY2ptkZGTSu8sARo4dRCQujvGvvsuK5f9Q+YRjufmOa+nRvg9PdH2angMeISEhgbl/LuDjd78gKyuLhmfXY+xHL5KVlUX/xwez6r81dHu4N116P0zGlgxW/v0vnds9vtOaduW73NtkZGTSt9vTDHvd/dwJr73H38F+uvH2a3isw5P07TaQHv06kZDozuefvjcRgAsuP5fR7w0jLj6e1158kyWLllG2XFn6PPcoWzZvZo7Op2eHne8C8s1H31L7jFo8+/ZAIpEIfdo9SdM7r2bJgqVM+ux7xo+cwDPjnyYSF2FE3xfZnL6FNt3vJiGhGB2Dc8KiuX/Rv8PTe3JX5ZCRkUGXTk8w9q0XiIuL8Oor41m+7G9OkMrc0eJm2j/QY6/83H2F3TmmDiTCOG6JZd1nk0g6/RSOev0pIpEIyzoO4KBmV7Fl4dJCvWrWvPExJXq04eix/SESYXnXZ3dbR2ZGJgO6P8ug1/oRFxfHu6+5MeexJxzDtc2a0Kdjf57uMZhHnnqYhIRiLPhzIV+8/1Whn/f6C2/Sqc+DZLe7jaysbJ7o2H+39J0jh/PDgn+49ZWvIRt6XHoKr/w4h4oHJXPW8YezcNV6jii9tQfagv/Wc1m1vdO8ZONX31K87qmUHz4IIrDqsb6k3HANGYuXsumbSaR9/DmHvPAs2RmZpH34KRnzF+wVHcbeY1/vjLotInvjlxORs3BeMNeLSCVcqU4JnK/NfcB8nC/MRlywoiTQFjgfWK6qQ0SkBDAaOASXZTNUVV8JPn8i8LWqdg+eNwYGqOqxwfPuMZ/zJS7Y8jlQRVU7BJ89S1WPEZF44DHgHFz51BbgvsAP5hKgH7Ao+IxFOE+b11W1XvCzviLX9yb2974HuEVV64rIRbjMm7txgado8WY6zocmoRBt/QNdG4AVwL+qeqeIPAJcifPEOQpoiQvavACUAUoB3VX1XRFZrqqHbe8763rMTaE6yvss/9q3hAI5scxRviVsRWp8ie1vZLBl78Qvd4uEvZbsuPuM/+Vt3xLy0Limn84N2yLLgxHd9vh3c/jKUcon7lkzyT3F6ozd97fY05RP2P1MgD3Nb+v+2v5GHvh9ztTtb1SEnFXtPN8SCuWrmZ/7lpCHq2s29i1hK4YlF9/+RkXMzevCdz7/pld93xIK5N8h4TofABz6wQjfEgokoVylyPa32jcpUeKoIhuYbdq0qEj3414J2hh7jyCL5hpVfU5EiuMyb85R1UW787kWtNkxLGiz72JBm53Dgjbbx4I2O4YFbXYcC9rsOBa02XEsaLN9LGizY1jQZsexoE3RU7xExSIbmKVv+qtI92NRlEcZe5aVQB0RmYLLUhqxuwEbwzAMwzAMwzAMwzDChwVt9jECM+NmvnUYhmEYhmEYhmEYRhjYnyuIwpubbxiGYRiGYRiGYRiGcQBjQRvDMAzDMAzDMAzDMIwQYuVRhmEYhmEYhmEYhmHss1h5lGEYhmEYhmEYhmEYhlGkWKaNYRiGYRiGYRiGYRj7LPtvng1E9uc0IsMwDMMwDMMwDMMwjH0VK48yDMMwDMMwDMMwDMMIIRa0MQzDMAzDMAzDMAzDCCEWtDEMwzAMwzAMwzAMwwghFrQxDMMwDMMwDMMwDMMIIRa0MQzDMAzDMAzDMAzDCCEWtDEMwzAMwzAMwzAMwwghFrQxDMMwDMMwDMMwDMMIIRa0MfYIInK8iFwiIhVEJOJbj2EYhmEYhmEY4UFEHhSR8r51hB0R6edbgxEuivkWYOz7iEgb4CqgLDAKOA5o41lTTaAFUCK6TlVv9yYoxIhIBVVdHPNcVFV9agozInIIeY+rRR7lhBIRKaaqGTHPy6jqao96TgauAcoBi4FxqvqnLz1RRORsVf3Stw4AEUks7DVV3VyUWgpDRMqq6n++dUQRkSOB0kAG0B4YpKq/eNYUD9wGHA1MBGaq6kqfmsKMiNQGyqjq5761RBGRc4HKwA/AbFXd5FkSIlIKyMKN9d5X1VWeJYUaEamoqn+FQMdNqjrGt458rAcmiMhy4AXgY1XN9ilIRM4H2gHFo+tU9Rx/igA40ffYyQgXFrQx9gTXA42AL1T1aRGZ4lsQ8BLwLOD9ogkgIt8D+S9KESBbVRt4kISIVAOOBPqIyMPB6nigN1DTh6Yowc1QH+AQYBwwQ1Un+9QEICLPAZcASwm+P8DX9zefvMfUFiABSFfVqp40HQaUAl4WkVtw+ygOeBmo60lTU9wN9VBgKu5mdryIdFHVd3xoiqEHEIqgDaC44yl/pmQ2UKno5eQiImcCg4F4ERkHLFTVF3xqCngV6A60Bt4EBgBn+xSEO86XAucDU3B/e5f4ECIiX7L1dQ/wd0MkIo2Bp4FM4BlcEGK1iJyvqu19aIpFRHoBFYCqQDrQEbjBs6bXgfdx17o4oAluv/nQErqxVBQReQhYDZQBmonIx6razqcm3ORlqII2qjoEGCIiJwGPAENFZCQw0GMwcABwPyG5Zwg4EfhXRP7BHfPZqnqEZ02GRyxoY+wJ4ghOKMHzdI9aoixX1RG+RcRwvW8BBXAQTteh5A4Ks4DnvCnKZRjQD+gCfI3L4KrnVZGjLlBJVbN8CwGq4Aarg4GhqvqjiJwC3O1RUz3gPkBw3yG4Y+oTb4qcnjNVdUN0hYiMAt4J/vskW0Qm4AImWQCq2smHEFU9Nva5iBwM/Od7BjTgMdzEwHigF/AdbobWN1m489Mjqvq6iNzpWxBQWVWbi0hDVX1PRDp41HJX8NgNeBv3vdUFLvMlCBcEqQmk4IK4R6nqZhH5zqOmWBqqaiMR+VJVR4lIK9+CgCNUdbSI3KGqZ4uIz6ykMI6lolyNO099rKonishE34KA4iIyjbzXmBt9ChKRMrjv8VZckOs+3ITh+8DpnmQtClO2HYCqHu1bgxEuLGhj7Aleww1cjxaRD3GDM98sCAar0wiCSar6qS8xqroQCs4gARZ60vQN8I2I1FLVn31o2AYlVXWiiHRWVRUR7+nhAXNwpVFpvoWoajqAiFRW1R+DddNERDxqeht4W0QuUdUPfenIR0ZswAZAVdeKSKYvQTGM9C0gPyLSCBe4jQfGiUgYslqyVPU/EclW1U0iss6znigJQF/gaxE5Gyi0xKwIKSYi5QBEJJXgRs0H0TJbETlUVccGqyeIyD2+NOGO6+jxk0XuZFO8HzlbUUxESuACuvG4jCDfJIpIE+D34NhK9SUkjGOpGDKBw4AVwfMkj1qieM8eK4ApwGjg+tjy8mDSyRd/i8gQ8t4zDNv2W/YuQSbSENwE62hcqev7PjUZfrGgjbHbqOqgYOalGjBLVX/1rQlXlyrBf3AnYW9BmxjCmEFycBBsi/Vp8V3Lu0lELsSVQ9QDwhK0OQpYKCJzgufeU7Jxqf2PAT/i0teXedYDsDQoJQuDp1RhN61hMOIfg/MfOYrAf8SrGkdPwpfVMkdEeuPOVR3wf3MWpRmuDOkF4Erg//zKAaAz7js7HOeJcr9XNQEicge55yifHkmvAfOABbjSxI9FZCPwsUdNsQwAfgLKA5OD577pg8vGbQfci8t8800Yx1JfAl8BN4vIAOADv3IA+BW4EBdgjgBHAP/zqghOKCiDU1Uf8SEmYH7weJhHDfl5BneNGY67xnyEy0YyDlAsaGPsNkEtapSLRWQLri50sK/6VFVtFni2nIgz8vvFh44CCGMGSRhreVsAT+GMYx8EwpAiDp69BQrhJlwZwmXAbziPDd+8RHg8pU4SkVfzrYvgzg2+GUJI/EdiCGNWy11Ac+BbnIllGMqQwAVGZgKnActxXiTzfApS1f/h/OTLq+o/PrXEcBPOu6Ip8Hvw3Auq2k9ERgDR7LuLgVWq+q0vTbGo6rhgEuw43I1kGDJtGqrqtcFyV69KcgnjWOoPVa0EICJTQ2LgPgH4A6iOm/zyniUMdBCR9jgtUT8ir14tqtpDRC4FTnJPvfvdAaCqc4Jr8T8huRYbHrGgjbEnKAnMBb7BzXTUAf7GzXxc4UNQkH59I26m6kERGauqT/nQko8wZpCEsZZ3sYjk6f4VEjJxQa4TgdlAW19CROSCmKe/Bv8BzsR/VlmYPKWuLWT9kCJVUTBR/5EzQuA/EiU0WS35jvF55AZEzsL/MQ65weQIbrC/ADfr7w0RaQm0BEpEKyVV1WuAUlWXi8g7OEPrH8gNmPjSsybm6XvehBSAiAxS1XuAKcFYYRBwgmdZYexiE8axVI7pb0gCNgARVb0rmFxtjhun++Z6nE9SGAJIAATXvONxEwP/F1yTH/Qs67/gfJ4sItfj/H+MAxgL2hh7gvKqGs1A+EREPlXVLiLic/B6I3CGqmaISAIwCZe54ZswZpCEsZb3ZZwh3RpyuzTV8qkpYDjwPO7G7Cxcyuq5nrTkz/qJdv4JQylgmDylwlAuVhhR/5Fs3/4jMcRmtWzAb1ZLmI9xYq570ZbpY7exeVFxHy5bKzQtmcPUESmYDCgQ39e9gLUi8gTOKLkaLhPIN2HsYhPGsVToTH+BjMAjKRn33YXhvm8+sNG3iHw0UtXTAURkIC647Js7gE7ASqB28Nw4gAnDH6+x71NKRKqo6iwRqQqkBJ1HUjxqiqhqBoCqbglKtsLA1UArj20NCyKMtbyiqpV9iyiAEqr6brD8toh4a+epqs2iyyJyAi6dfgau3MY3YfKUGkrhrax9ezeF0X9kHC44OdR356h8x3gYy11jKQaE4Zw1A/hLVcNQVhMlTB2RqgCXA6+Q95wQhi5pqOojIvIkcJyqnuVbD4S2i00Yx1JhNP0djMsI/hRXrhyGMsBE4FcRiWYHZ4cguJUgInFBZ9DoxIBvagIfBv/Blb3+paqL/UkyfGJBG2NP0AYYIyKH46LnLwHXAY971PStiLyJSwU9A3djFAaKAZ+LyCxguKp+5VlPtJb3PHJT12d7lgTwo4hItPtIiCgmItVV9VcRqU4ILuwi0ga4CiiL+9s7Hvc36Y3Ym23fqOrZvjUURqz/CLDSd5AkoCfO/LCXiLwNjIzt8OGDsJa7isgycgOCxYCnvQpyTATmichccv0ifAcnQ9MRSVXbiUgV4CNVneJLR35ijiVw39uh0XW+s1ry+RYCXo3lo4RuLEUITX9VdTyAiJQFxqnqWp96Avr4FlAAbwDficgPOI+yNzzrAXctPgxnTH4KzsC9hIgMV9UnvSozvGBBG2O3UdUfg5mzNsAFwKGq6rW7gKo+GJiKVcXddISi/bCq9gP6iUgd4CERGaaqXuvVw5S6HsMaXE3/ekJiVBdwLzBSRI4AluBStH1zPa7bzxeqOlBEvN+I5LuZLQvMU9WqnjWFpn2miHxJAQE/EfHeuU1VfwJ+EpGDcKWAf+Iyp3wS1nLXuqqaY7YtURMZv7TE+Tit9qwjlrB1RLoVVy4SGlT1cN8atkH0BjaCK1P2fi0O41iKEJr+ikgj4DlcS/txIrJQVX13AwxjcKufiHyCy8R7QVXD0MkxDTg5aAhQHNfRsQmuPN+CNgcgFrQxdpmghv8GoDXuZr8UcKyqeqtVFZHLVPX9mLr1tUAFEWkRhnp1ESmJS+v9P9zFqptfRUC4UtejnAOUjZa4hQVVnYYz2g4TcQQ+A8HzdI9agLw3ICJyNOHoaBWm9pl3BY/dgLdxmYB1cR3AvCIiZ+DakNfBlUr5NmOEkJW7BqVaRwJ9ROQh3Lk8DngCl9Luk8XAlCDNPxSErSOSqq4UkdsIR+APgKALUk8ReY18AV3fpSOq+knM049FxLufVEjHUmE0/e2Jm9QZD/TCXWt8B21CE9wSkeaqOiIwIo7+3dUKJlA6+dIVUF5VNwGoarqIlFPVzSIS51mX4QkL2hi7wwLgNeAmVf1TRD7yGbAJODh4zD9rFYayA3B+A2/iarHn+BYTEJrU9RhmA4fislm8IyJvquo1BaSwhyED6FXczMvRIvIhLggQGlR1YVCO4J2wtM+Mlv2JyKGqGjWvnRCUAfnmfmAY0Dwk5VqQt9y1If7LXQ/CZbgdissCAmc8+pw3RbkUB6aLyExyTcC93vSHtCPSJSIyIETeP9EuVmHoapcHydvF7XDcce+bMI6lwmj6m6Wq/wXXvU0+r3sxhCm4Fc2UnJVvfRiufW+LyLfAj7hJlHeDSdUwZAEZHgjDCcXYd3kauAk4RkRGsLXRZ5GjqqOCxUxV7RldH0TRw0DV2OwRETlcVX13twlb6jq4zlELRORfQtCtQlWvCRbzl0N4D0ao6rMi8gWu04iq6gzfmvLNFh8BrPAoJ0oo22eKyB24QVkDXM26b67DZdr0EJGJuDKylT4F5St3fUlVP/Cs5xvgGxGppao/+9RSAGG51sUSxo5I5YGlIjKf3GtMA496aohIDY8/f1vElktvAnz72YA7F1QCThCRTcCSEASZw2j6OycY/x4srqPjQt+CCFFwKyaLrI6q5ngBiutg+rIfVQ5VfUxE3iHX5mFm4H8XusCuUTRY0MbYZVS1L9BXRM7ERcvriEgf4BVf9aDBDVBzoKqIXBKsjsO51Xf0oSkfXYNIeSKQhMsoOcmnoHyp6/NU9V+fegJNx/vWEEsYyyEKSes9RUSuD0Fab+ygYhMw1ZeQGMLYPvMm4BGcB8lvwXPfDMF1IDsfmIIbuF6yzXfsJUSkGHAFsCoI1HwgIoeKyBuqep0PTfmoEPz9Rb0Zyqlqdc+apgFdCDptAV795SCcHZEIQSliPmI9v27AZVCGoouNqjaT8HVvu4tcA/5RuPGLbwP+0Jj+ikhLVR2K20/NcQGkDcCdvjTFEJrgloi0xnVxPEhEmuD+5iK467FXROQ44FLc9aWKiNyjqi09yzI8YkEbY7cJOqD8T0TKALfgWmme4knOaOAL3M1ZtHtVFvC3Jz35uQJn+jsA6E8I0ulF5HKc10eJ4Dmq6uUmLUZTdWAkbl8tB24P/GR8EcZyiMLSesNA/hvHP4H/fApS1bVBcHIerkuad5NIVV0uIo8R/O3hZh59B00rq2pzEWmoqu8Fs7O+GANkAIcHRtLzcX4MAz1qiqUnzvj3LuBL4Dy/cgB33vwfbt+diesod4UPIQWUkx4qIksBQlBWmoHrYnMIzrtpBh6zEFQ1Z1JJROqFIPCeg4Sze1usAf/TITHgD5Pp7/kicjFu7BSqzAxVHR/4spTHc3BLVQcDg0Wkk6r28qWjEF7F+f80xE2kpPiVY/jGgjbGHkNVV+Nq1Qd5lFFdVaeKyHggtpNHVVxU3zfLAkOx1MBfI9G3IJwZY0tglW8hMTyD89SYLiI1cTMzp/sSE9JyiIrgSgJFJBKC1PBYQnPjGEVC2CVNRJ7DlYosI3dW3WeJBjiPq3IAIpKKC076orKq1g7Okz/hvrezVfUPj5piWaaq34vIXar6UmBu65uDVTV6Df5FRK7Z5tZ7kaghuYico6oTfekohGFAP1xw+WtctkY9r4pyCdO5HMLZvS10BvyEyPQ38OC7HvhSRB5S1TCMfwEIMlr648acqSLSSlU/8yxrsIj0xWW+zwYeU1WvE03AelXtLSLHq+rtIhIGY2vDI+ZAbexvnBs8Xo+7IYv+v96borwsFpHbgQ1BWn0Zz3oAflPVr1R1evS/b0E4o7rpAEEqdli6SFUQkU9EZKKIfCkiv3rUEmsu+oU3FQVzsKoOUtVfVHUgLlPJNw1V9VbcQGgUcKxvQbiOUZVVtYGq1vfsqRHlEdzNRm1cRlIPj1rWAqjqZtx45YIQBWwA0oPZ9YTAYLecb0FASRE5DJzRNW7W3zfdfQsogJJBICk7MAbf5FtQiMnTvQ3w2r0tIGrAf1yIDPizghv9bHVdf7ya/qrq67ix71gRWSoiy6KZbp7pgvMHPAU3Gff4drYvCl7Add57BNdk5SWfYgKyg3N5qogkY5k2BzyWaWPsV6hqn2Bxlaq28yqmYB7GtUYfhzP79NrVI+AdEfke14IRAFX1bTSYKSKX4boKNCIcs2gQrnKISCHLYaCkiBwWlP+E5cYxjF3S5uBKo7yXakVR1a8BCQwPVwKVPUuKsiIEM5/5aQVUwZ0XHiME/jG4G6JJIrIGd61p4VkPuL+5CYASZG6FoPxnUxBoixeRengO2sSYt0eAk0Tk1ehrvrt/kbd72xn4794WSgN+Qmb6G0wQdgbuUdVXfGrJx7+q+jeAqq4QEW/lUTEcrKrPBMteMxRj6IHzbXoFV9Ydpu/Q8IAFbYz9laoiUiYo2QoT76lqw2DZZxlZLPcCfQlJN52A23Hp108AvxMO8zwIVzlEdiHLYSD/jWMYvr/8XdL6+5UDwFHAQhGJtqz13cEmB1X9ByC4eazrSUb05jWMN7IAzTS3S+HVwQ3bGz4FqepnInIWLhBYSVV/9KknYKRvAQXQAneNKQc8iAvA+WRIIcveyde97UXf3duiBFl3fwCIyBeqeu523rJXCKPpr4h8hMtObKSqi33pKIR1IvIJroS6NpAUlC/7DOaGbqIpmED5Onj6rk8tRjiwoI2xv3IisFJEVhKCltEx/Cci95F3xtF3rfFyVfV6o5EfVV0INPWtowDCVA4R2hvaoD69koiUU8/tomP4BmfodxwwPyS6vHrq7CA+s7iujVkOzY2shLhLoYgMAeao6lMi0kVEblLV+3xqwnlbtSTXmPx5v3IAuBpopaqh8HILGjogIu8DI3ATPF6zAUXk1nyr/sZlkdyqql7bIRdAKY8/O4ymv++r6mBxHfhyCMlk5tsxy0t8ichHdKJpLZBKCDIUg7+/jkDx6DpVreRPkeEbC9oY+ysNVTXaXQcRqeJTTAz/4lpE1wyeZ+PfIHmjiHyM6/iTDf5mO2K6jURwPij/BcthCbq1whlcR8shem57871K6G5oRaQCLtPgsuBm6AIRuRe4WlV9D87eBP7B1a7/5FlLlFB1sCkEb1lcMTeyxXGz1gLMxN3U+iTMXQprqepdAKp6n4h8vb03FAFDcZmcn+GMyUcA+QMCRU0x4HMRmQUMV9WvPOuJ8iAu07R7kI0wQlX/9KQltG3IC8DneSqMpr/jReQE4OWY4Fsc8DL+MiejvI07D0S7JqKqY72pIbQTTe2By8ntFGoc4FjQxtivEJFqwJFAHxF5CDfAiMOV2dT0qOsNVb1OVZv50rAN3sv33Ofg5/Dosoh8qapn+9JSCCWAQ1V1ooj8iTNq9UL0hhZARA4hZgDkkSHAk9HZa1V9VUS24GbWvXaPUtWGInIirr1958AP4QVVnedRVmg62MR4asQSAcIwszcKZw75Oc5TYyTwf77EqOsAWFpVWwTddFrgfLdCUQYkIger6r8iUoZwjPOOV9VGwfLbIjLJqxpAVfsB/USkDvCQiAxT1RNCoGsW8HDQyeYZYGYQeOuqqt8XsZbQtSEXkYIyICK4sldvqOrrIjId+F5E0vA/2VQPuA8X6B4S6MkCPvGkJ5ZPcWXvq4Pn2YDXoI2ItMRlA5YQcY1nVfVEn5qAeao6Z/ubGQcKYbiYG8ae5CCcW/6h5Jr8ZgHPeVPk8Dqg2A51VLVN9ImIvIybjfFNGGfzXgYeCJY/wGVteKmjjyKubfQlwFL8t41OVdW3Y1eo6rigJDAMLMEZ+p2KM7AcKCK/qWoHT3pKBgHAzqqqIuLTDLWwbK0wZHEdpqrRDoDviMj/trn1XkZE2gHXicjpOF+Uo3EZUgNwN0o+eRSYKiKrgNJAa896wN0IJalqmoiUJAR+EYGOq3HBvwjQza8iR1Bmcxsuy+UV4H4gAfgQqOFNWHiux4cXsv6lohSRn7CZ/gbX4bdF5BJV/dC3nnysCeEE5n24cVQoyiUD0gJvol/wnAVvhAML2hj7Far6DfCNiNSNNWAUkTM9ygKoHDVay4/HUqTWuEFGWRFpEqyO4GZAjEJQ1R+Cx29EJM63HlyqcyVVzfIthML9T7x3txKRsbhAzWjgZlVdGqyf6lFWaDrY5CtFagGcgOdSJBFJDBbni0gdVZ0iIifjfFF80hQXGM3GTQ4cr6qrQ5JB8n4w0C8H/K2qYbjZHghMF5GZOF+bMARI1gFTgFs9lh8VxM3A8/nLtUSkuxc1IUNVe/jWkJ+Qm/5uFpGLcPoGAV1U9dXtvGdv84mI3EXMWDMw3fXJDOAv3z5S+QhbsM3wjAVtjP0KEWmIGxS2E5Fod5h43GxjNW/CXCcP9fjzt0JVBwODRaSTqhYYUCpqROSCmKdlY5+HpE58dZCe/T0uWLLOsx4IV9voySJyb0zrTETkHtyAyDfDg7r1/DQsYF1R0QI3Q3wqzhvlDo9aooSpFEnJ9bg6S0TScaaMXtszA+tUNVNEauFS2FcH68MQnDwfaEtQLikiqOo5nrScrKozVHVMcGNbCWcC/q8PPYGmFOA13Oz1fGCMiPwD3KCqYWg9fEhB/jqqOqGohUiI25CLSEec50cYSpHeD8ZTYeRxXGB5MHA6rgzJd9DmDNx5PDqZmk1ulyRfTATmichcco8nL+fNGMYAdXCZdhEgDL6OhkcsaGPsb6zGpc8WBw4jt453jEdN4Do0jfKsoTAuAUIRtCFvN51pMc/DYNgM7ua1M3AVbpbodr9ygHC1je4MPC0iS4FluHLFj4F2nvTEskJEpgAVgOXAHar6s6oWeQAg8NZ5VlXPCcybf8VlttTCBUx8EppSJFU9NvZ54N20MgRZZdmByedtBK1YReR4nLG0bwbgSmrCYF45UESOwrX2/Rj4NASda54AxsV2PxKR5sCTOE8L3/wnIleSt8Okr8yy0LYhx5XBH6Gq3icrogEbEcnvabUF93c42GOXsjRgBZARtLMOQ+Zdiqqe51tEPlrimjus9qwjlgm4gM2RuMnnpbiAs3GAYkEbY79CVWfijPuG427O2gAX4DrH+CQs3WoKIjRtyENY55yfJKB/vue+CU3baFVNB1oFHaMOxt1gh+FGFlyJRnNVnS4iNcmdefRBH+DhYHmZqp4tIsfhSpHe8iEoxKVIiMhZuIyfNcBBInJnIVlTRUUXnN/IcqBTUH47Glc25ZtFqvq5bxEAwXFdHKgPnAXcGZSU/k9VH/Ukq0ashxuAqo4Q18Y9DByCC7pFyQZ8zfiH4Qa/MOYDG32LyEdJYC7wDc4IuA6uo9wo/Bnxr8UFTIcFJfFh6HA3M+i2Fdux1Pd1ZjEwJQQTArGUU9X6IjICuAfXfc84gLGgjbFfEdx43IArh0oHSgHHqqrXi7uqPgggIsm47IMtuNKIl1XVd4vf0LUhF5GeQHNcEMl36nMsb+D2TxxwLPAnfstrADJxs+sn4m6w2/qVA7iskSG4G+zRwExVfd+zpjhVnQ6gqr+IiM9gUpKqRr101gSa5oiIz2tyWEuRAHoCDVV1qYgciQtseRvABn5pp0Wfi8j3OF+pLb40xfC3iAwh7w3RMF9igk5bPwFlgVRcNllNX3pw196CCEVwOX/HxJhgqg9aBY+VgUScB9ApwHpcEM4nicCvIvJr8Dzbd8kWUF5Vo5Mon4jIp6raJej+5Ytrgcqq+ru47qrDPWqJUoO8pto+A5NRipPruxU9b/o+nqJZZMmqujEkWVKGRyxoY+xvLMClD96kqn+KyEe+Azb5eBN3M3s1rrxmGHChT0H5s1tEpLDuDEXJZcDRQeZGaFDV+tHloJ2ut5uhGIbjWmp/jRtIe+9ohWtV2wyn7QXgI8B30CZDRC7DzYI2wgV1fVEyuqCqjWPWe7vpD3EpEkBm1DhaVZd47rJVWHv0qH+M74H+/ODxMK8qABF5AFd+WwbnkfQ+0MFzcOs/EakdEzRFRGoD/3nUlEPQergduT4WW3BB8CInGoAQkQ+AK1U1Q0TicZ0TfdPHt4ACKCUiVVR1lohUAVJF5GAgxaOmisCVInINub4oXssAgwy8g3HBwHmqutKnnoDevgUUwFsi0hUXTPoBFyw1DmAsaGPsbzwN3AQcE6QUejeGzEcSzgPhPlW9VUS81/WKyKO4GbVEnL7ZwEleRblZ4hL4vbHeHmtwxpq+KaGq7wbLbwftiL0TZI5kq+o/IhIGw+bbce2Zn8AFTO/0qGVJAR3u6uLKbbwSwlIkgLWBofXXuICb7xvssPl7xGZkhOnmowuuNKM3riQqDJlIDwLvishXuFKWY4HzgMt9ioqhNS743hkYR95SKV/ETuQUw5Vw+WYa7viKZpg+5lcO4Mrxx4jIEcAi3Hd5Hc4M2Bev4rxRGuI8UXwGkAAQkaa47Mk/gGoi0l1VR3uWFbrjKdbcOgichqnLneEBC9oY+xWq2hfoG3gMNAfqiEgf4JXA78Y3icB9wE+BGWmyZz3gaq0r4Eps+gPP+ZUDuFbDy0RkObnlUd4DJEEZRLSEpDxu9tg3xUSkuqr+KiLVCYcPwX/BjHFyULu+2peQmJvZZbiAbgT/++hh3I3jF7juX5Vw2VFhuHEMTSlSYPYb1fQgcBHue/TqfRXTHr0sLlMytruHL+PmaHlbLNFj3de5szyuU8wlQC8RWYbLuvtQVRf5EKSqC4IA6aW4/fIj8IiqbvChpwCWquoyEUlV1a9EJAzt0UcAvwWlIyfhAt++GYn7WxuD60L0Ev58Y4CcsslT862eWtC2Rch6Ve0tIser6u0i8o1nPeAyyU5V1fUikorr3OQ7aBOa46kAQ+tYwtD8wvCEBW2M/ZJgUP2/oITlFpxp5CleRTkeBK7EzbzcjAvg+GZZ4DuQGmRH+Kyhj3IdbgZ0tWcd+bk+ZnmTqq7wpiSXe4GRwezeEpxXkm/uADoBK4Ha+G1lHevVEr2p9Xozq6rzgxvHy3HH+VSgS0huHMNUijS0gHX1cefNHkWspSAm4GaLq+O8f7x1somWt4lI8bCUlQaZNROD/4jIRbjzwmBcNxRfujYB4339/O2wRkQa4zqUtQTKedYD7hg/A1fO8mdIylkOVtVBwfIvQfmPV0TkVqADLksYgBBMNmWLyGG4Uq1kQpBpA2Sp6noAVV3nu9w1IEzHU21c1vtoYBLhqxgwPGFBG2O/JmgvOij47x1V/S6YrcrElR+EId1xsYjcDmwQkd44/wHfLAQ2hOXmI6grLmg9HrugAKCq03BdKkKDqq4Vkc+BecAPhOBmFiDwYygP/O3bqyXw2hrrU0MhhKYUKb8pK0DQfegHwhG0iajqXcHMaHOcX5JvpojIRGCE7+zSwCvmjOB/FWA6rpPOzT51hZzmwHFAR+ABXNcY3/RQ1UaEo/NQlJIicljQxvpQPAYBY2iPy874y7eQGHoAjXETl/OCR9/ME5F+5F5j5nrWAyE6nlT15MA0+mZcEPBrYLSqzvGlyQgHFrQxjCJERF7HmTE2wHUgagJc5VWUM6WrgKufvw3wbaQJzjxvrojMC55nq2oDj3qiGTWNcUaf3+ECJUf5EiQib6rqNUHJQZ4MEt+dtkSkF+6YqorzJeqI59bkInIVrvxvFc4wslUIvFpCQ1hLkWIJgm4NCc/MY4aIlMCVuWYTjjFVTdx3101EyuNma1+PzmwXMU/gOhH2BKapqu+yxNAiIhfkW1Ue+ARXUu2bbBGZgMtazAJQ1U5+JdEFmCQia3FdycKQYTovbDfWqvo17qYfXEnuGT71BDTDjTvPx/nLdfArB3AeUpNEZA2u66xPzzuCgHsHABFpBPQWkYqqWs+nLsMvYRhgGMaBxBGqOlpE7ggc9MPgiVION6N3AvAb7kbNN9f5FhCLqg4FEJGrVfXuYPUYEfHZdjiavltXVXNm9oKuFb5pqKqNRORLVR0lIq22/5a9TlfgNFX9O5hJew+PbaNDSNhLkcCVHdxDOLIPwJX53I8LTPwFfOtVDaCqWSLyES6I1By3r5qJyGuq+mwRazkPICjLOFJEtuBurl9W1YVFqWUfoLCgdjbu+PLJtjw2vBAE3CuJSLmQlGsBpAV/e7+Q2zbad3ArP/2Aur5+eBCc/ExVB4tITeCwkBiUH6qqoTqeAr+fJrhzQzL+fX8Mz1jQxjCKlkQRaQL8LiLlcDNEvnkDV6YxEjgdlz57mVdFrnxsALlO/m39ysmhrIhUVtW5IiJAaV9CgvTZI4E+IvIQLvsgDje7XdOXroBiQQZCdpAdkelZD8C/qvo3gKquCGZojYB9oBSJwPPHu3dFDAtVdTyAiIwjBL5pItIX55v2P6CPqv4YfI8/AUUatInhTVzHratxM+vDcAbORoCqFpjRJiKHF7S+iBmDyyyNNdz2gog8q6ptYpoC4C7F4DkbF+BDzz9/R/CWpRhM3twCfA+sw2VtdRORo1R1mC9dAS2AMWEI2IjItTj/xKNx3lt3qeoCr6KMUGBBG8MoWvriskgewBnIem8rCKCqzweL04MLhm+GA8/j0nrPAl7Addfxzf3ABBE5BGf6e79HLQfhLuyHklvSlkU4un8NwN0klgcm48qSfLNORD7B3czWBpKCMq4wzoZ6J4SlSKEhKDE4EWgrItFjOw7X8reaN2GOPwk6s0RXBNk3Pstwk4B3gftU9VYROc+jllAjIo8CrXBlUUm4SYuTvIpyhtsJuEmCeFzr6Nc8aYmOmW4FNsesL+tBC+C8m1R1KuHIUt4ePksUbwPODIzAUdUZInI+8CUukOuT4iIyjbwlgL6sAl4HZuE8wKrjOu/hWZMRAixoYxhFiKq+FRgRn4y7SC3xLAlglojchLtwngr8G/W3UNXZnjSVUNV3g+W3RaSdJx0AiMgbqnqdqn4rIi+r6lPB+onAOT40qeo3wDciUktVf/ahYRt8g7vhPw6YH4bZK+DtmOUw/N2FnbCVIoWJVcBhQHEgmgmRhWvl7oXARD56Q9YpOsgHF5T0PFObiCuz+0lETsSl+hsFcwXOD2wALtgdhiB8OVWtLyIjcOcDn2WlkWB88jIuayOaYToUf2U/5+I6AOYvcfNW2habiRRDBGcI7ou0aMAmStD2e50vQTG09y0ghmjWaxxBAMkwwII2hlGkiEgbnPFwWeAl4Hjc7KxPqgT/m8esG4q74HsJSODKa6qr6q8iUh2/s0MAh8QsXwI8FSyHIQuhQnDDFk1dL6eq1T1rehP4B5ch9ZNnLVHeBs4kbzvWMHZvCgUhLEUKDYFJ5EwRGaaqYZldn1XIet/nTnCZpY2Bx3EdUe7zqibcLFPVdBFJVdU5IhIGI+Jo979kVd0oIj6PqXq440fIzc7Iwpk2e0FV+wSLXVR1cXS9iFzvSRK4LNywsSW/Z0xgE+DtXjRoh/4gsB54MrjueUVV/wcgIp+qan6DcuMAxoI2hlG0XI9rcfiFqg4UkSm+BQWGyKWBY4C5nrqM5OceYGRQz78Uz07++YgN1IThhqgnrhPDXbhsKe+lB6raMJhRbwZ0FpEvgBdUdd523ro3+RTnp7E6eJ5NOFtuGyEn2rkN+DnmBtZr5zZVHRVoK43rypLkQ0dBqOokEUkCrsWVvPrK4NwXWCwitwMbgmB8Gc96AN4Ska648ukfcDe4XlDVt3HZt5eoatg8ZMaJyGVABq68+yBcqUuREzX6FpEjcd57GbhskkGALxPwx4BPRWQUrv34UcAdeMxQBEbhyv/K4uwLWnvUkp9VInIleUu27Nx5AGNBG8MoWuJwN4vRgX66Ry2A64iEa3dYDBgrItmq2tOzrPNUtY5nDbFkF7IcBpap6vcicpeqviQit/kWFLAENzA7FefzMVBEflNVX+091xRm9mkYO0NM57abVHWiVzFbMwFYAKwInns/XwXeURWAqrhrXkcK75Z0oNMSqAiMw3mAePewUNXB0WUR+QDnm+SbNSLyC87TbQnQXFV/8arIZQC9gwuSDFDVMHTdehXojgtGvIkru9vKdL4oUNVvROQaXLbdpbjg0VWeO8klqOoQgJB0c43lEPL6JvrMfjdCgAVtDKNoeRU303i0iHxIXp8NX7TDpRx/jMvamBo8+uQSERmgqmHoOgRwkoi8iptNj10+0a8sANJFpBGQICIX4lq4e0VExuICNaOBm1V1abB+qkdZn4jIXbhsGwBU9WuPeox9n+5A2II2EVW93beIfDRU1UYi8qWqjgq6yBj5EJErVfUdEVkNdMUFuLzd0IrIixQe9PN9jD0D3KiqvwedFIcBXrpHBW2so3yBy3RbLCIXqKrvdu1ZuDHnI6r6uoh4zVpW1XkikqWqd0XXiUhvVe3oSVLs8R3nSUNhfKiqT/oWYYQHC9oYRhGiqs8GpSLV3FOd4VsTkBXU0GeraraIeK/pxQUelorIfILMJM/tPGM7ag0pZNkXrXD1/T1x6ce+A24Aw1W1ILPKhkWuJJczcMaxZwbPs3GDWcPYVbJFZAJ509e9dCKL8T6ZJyL1gZ8JbkhUdXOhbywaiolICdz+igfCEowPDSLyBHB8kMkyCNiAKw1+HtcpyQfR0p5WwCTgO1zrb1+Gv7GsVtXfwXlMiUja9t6wF4lmjWXjJnM0WOfNiDiGBFzZz9cicjbOFNwLInIHzjuxqohcEqyOx2n0FbRJFpHjcQGbpGA5AqEoRbpYRPqHaPLS8IwFbQyjCBGRisDlODPUqiLSWFUf9SzrmyBzpIKIDAG8++zg9lFoiBrDhZQSwKGqOlFE/gR+8C0IWBH4NVUAlgN3qOrP+TtHFDEpqurd78fYrwhD+UMUJfemMTaFPhuo5EVRLgNwhuTlgcnBcyMvjVS1gYgUw5WOVFTVNBH51pcgVf0EQEQeUNW+wervRMRn96gofwfdrCbiSnDjRKQFgKoWafvoaNltcIPttdNlATTDZf6MwJmB/59HLaNxmUidcKbk4ILdf3tTBBvJNbSOXQ5DKVJ5wjV5aXjGgjaGUbSMAz4H/vItBEBETsbNetYCXsHNXg3yqOdZVW2jqgtF5BRVneZLyz7Ey7juLAAf4Do2netPDgADcR4D00WkJjAYON2vJGaKyA3kzUDwPZNm7NuMwWUeRDu3eTEhBlDVYwFEpI6q5gTeReQsX5qiqOq4wC/iOGB+bPcYI4e1wWNdYKaqRjNHwtA9KkVEzsFN6DQgpgOfR6Ld0o7H7bv/AYfj18OpqoiUUdXVHjXkZx6wGedbOJHc46zIUdV0nN9WCwARScX5NrXCU6m5qp4daMl/3jyz8HcVGZf5FmCECwvaGEbRsk5VO/sWASAiTXHdBIbg3PuPBu4UkUWq+o4nWbEX7n74n+nYJ1DVH4LHb0QkDHXZcao6HUBVfxGRDN+CgBrAyeR2/yoB1Pcnx9gPmIAL2ByJS/NfCrzmQ4iINMSdP9uJSP9gdRzQBleO60NTZ1XtKSKvEXMzLSKoqneD3ZCREXij3AaMBwi8ylZ71BTlduBJ4ATgN/xmayAiEVyQ5ihgEfA/VfVuuI37+/tXRFbiMki8dZOLYSjuvHQ+Luj2MnDJNt+xlwk6S7YBmgJv4fF4CuN5M4aC9ovvzHzDIxa0MYyiZaaIXA9Mw/9s/33Amaqa42ETtGJ8J/jvg0ghy0bhrA7Swr/HzdKu86wH3A3IZcA3uBb33rqkicgbqnpd0Nr+QVV9Klj/pS9Nxn5DOVWtH5Rp3AP4LBtZjcs0KB48grtx9NlO973gMQzeX2HnPqAXrpx0SGAq35e8fmpeUNVZhKRkWUQOBd4H5gDzcbr6i8ilqrrMpzZVPdrnzy+EyqraXEQaqup7IuKre2O0U2lrXPbYi4CoaktfegJWE77zZpRoB8AILhs+DBNyhkcsaGMYRUvN4H8Un3WzGbEBGwBVXSsiPk3PwtxaO6z8Hy71+SpcZyTfXT3AaXgKeAKnyWfHikNili/B6QI7vozdJ1rCkqyqG0XEmxBVnYmbFBge7dbmm2i2Ha4k8WLCUVYTSlR1LnCdiNQOjKM/wXW8OxPnV+QNEemEu4lNw91A+swg6Qd0UNUvYvRdhPNJut6TpqiO6jifq6iX2+0hKPEuJiLlIKccKcujlpdxpdP9VPXfIIjjlYLOmyJSUVW9Wxio6tDY5yLykS8tRjiwoI1hFCHR+tmQUNjF22c0v6GILMUNDMvGLIchzTisJAH98z33QkwHm2XATQTfnS89BWDZW8ae5C0R6QJMF5HvcR1/fHOeiHTEzRxHz52+jYjfwZVoRG+EwnROCAUicgZQlXCWaVwHHBHjs+OTirEBGwBV/Tj4O/TNM4TPy60zruvX4bgmBfd71HIczhj5GxH5FdclNCzcJCKrgTJAMxH52LeptIicEPP0cJyFgXEAY0EbwygCRORNVb1GRJaRO2D1HYw4KegaFUsET4ZwAKoaBtPFfY03cMdUHHAs8Cf+WmvHdrDJc5zjr4ONZW8ZexQRie0aFY8LgC8FtvhRlIf2uJIR7zPFMcSp6s2+RYScVYS3TGM+rrNOGAhz++NI2Lzcgs6XIiLlVfUfz1qW4UoAe4nIuTgPxQXAm6r6oE9twNW4Uu6PVfVEEZnoWQ84P6Iom8htOGEcoFjQxjCKAFW9Jng8fHvbFiGF1cp79x8I0ngfxhl8vg/MUNU5flWFE1XNMdMVkTLktqz0oeXYGC3xuJaVf6uqz5TsaHAykm/ZW3DS2OepjctoGw1MIlwZXPNCeK6cISKnAb+Q6+W22auikBHG8rYYEoFfg+wIcJNNvoykF4nIZar6fnSFiFyK60rkm8yweLlFEZGWQEugRLR8U1W9X/uCbKkvRORg4FbfenDBwMPI9ZHxlrEMbvwU09kqFdioqt6DgIZfLGhjGEWIiJyH+7uLAwYBXVQ1f7ZLkRDMwISVkcBHwFm42vAXgDC0YAw7a/CX0ZKDiFyFK9laBZQSkVaq6sukNTY4OaSQZcPYYVT1ZBGpBtwMdAC+BkaHJFiSFngf/EJugKSTV0Xu3B1rZOsz8y7shLG8rY/nnx/Lg7iyxBbAXFx26aGEwyg5TF5uUe7Debmt8i0kSgHj4K5+FQHwVfD/ZhEZAHzgS0hwbXk7aEO+CjgX6Ccil6vq7750Gf6xoI1hFC2PAzeSW+s8FvAStAk5B6vqSBG5WVUnhaSNdSgJvDSiJUnlgc/9KgLcIOw0Vf076PbxHp4664Q8OGnsowSZER0gpzVz78DAsp5fZXzo+edvharW8K1hHyKM5W2/Ahfi2ttHgCNwLbeLHFVdCTQSkVNxgb9xqjrJh5YogQfRx7jW4019aimAGcBfqhqmsrKCxsFjfApS1UeARwBEZIqq+ix1HQhcHwRsUNW3ReRvnGfSeR51GZ6xoI1hFC1puPTLDFVdLiLmsVEIIlIleKwAWFpo4cR2zNikqisK3bLo+FdV/wZQ1RUista3IMPY0wRp602AG4BkXLmUb8bgyiFOBGYDz/uVAyJyBa7Vb/Sm/2BVPdmvqtASxvK2CcAfQHWct0YYDIlPUNXXAETkMOBFVb3Yk5bpuCDE04FHy8c4b5TZnvTEMhGYJyJzyc3c8tWxNEroxsH5z1EiUk5Vq3uSE6eqU2NXBJOX5vl4gGNBG8MoWtbhLujDRKQ18LdnPWHlXuBFXDeNN4G7/coJHyJSYEqxiKCqjxa1nnysE5FPcLOxtYEkEekFoSjVMIzdQkSuxQVLjwbGA3ep6gKvonIZCqzGZbadCYzAv2dET1wg6S7gS+B8v3JCTRjL2yKqeldgwN0c59nim1tEZB2ujKwX0M2XEFUdBYwCEJFjcGXdL4jIEapa2ZeugJa4EuHVnnXEspbwjYPzn6N8ZrTEF7I+oUhVGKHDgjaGUbQ0BSqr6u9B3epw34JCyp/A3ao6TUQa49KzjbxEM2oa47p7fAfUAY7yJSiGt2OWl/gSYRh7ideBWbgZ9uq4bigAeDRojXK8qjYKlt8WEa+lIwHLVPV7EblLVV8Skdt8CwoxoStvAzJEpAQumyybcNw7XI0ruy0BNPTdGUlEKgKX4vxjKgA/4vxtfLMYmOK5GUB+2uOySaLj4BG+BRGuc9RHIvIU8JiqrhGRFKA7LmvKOIAJw4nXMA4k2oPLhojBd1ZEGBmDM4KbBpyAmynyfTMUKlR1KICIXK2q0UykMSLiy/A3lrdxs/wloitUdaw3NYaxZznbt4BtUEJEklQ1TUSSKHzWtihJD3x/EkTkQqCcb0EhZgxwGy74PhGY6VWNYzBwP/ApzmvnW19CROQ1ggwkXBvyusDAIMPUyxhBRGbgJlE+AjqEzCy2ODBdRGaSm7nleyw1QlUbBlrCcHxDuM5RT+C6p/4cnMP/A14GnvSoyQgBFrQxjKIlmh0RAWrh3PONrTlSVV8EUNW+IvKlb0EhpqyIVFbVueKigaV9C8IN7n8nNyU7G2c2aBj7PCE3t34a+EVEfsP52ngrG4mhFSC4EoTHgkejYIYAS3ElZFNwN2uXeFUEC1V1PICIjANO8aglf9e/MGSzfI8rA64FrBCRFar6r2dNUXr7FlAAG4IOTQpkAajqML+SaAVUIfcc9ZgvIaqajevYFqaubUYIsKCNYRQh0eyIKEHturE12SJygqrOFpHKhGO2OKzcD0wQkUNwpUj3e1XjWKOqzXyLMIwDhcBvJMosnP/BbOACXDmXN1R1iYjUwZVvvqiq7/vUE3Iqq2pzETlDVd8TkQ6+hIjIGbjAX9ugQxK4a3FroJoPTdGAqYhcDtRW1W4i8jEwwIeeQFPLQFM14GLg9cA09nNV9XLzLyKXBX9nUsDLvoPO0ZLNQ4NH70bEqrqE3FLuq0Xkfo9yABCR5rjxXBK5JtKVvIoyvGJBG8MoQkTkhJinR+CMLI2taQu8EXSFWIIzhzNiEJE3VPU6Vf1WRF5W1aeC9RMB390hPhGRu3DZNgCo6tce9RjG/k5t3OB+NC5IE/ErJxcRGQGk4DISbhWRc1S1nWdZYaWYiJTDTVykEmQieGIVcBiuxOYwoCzwL650wzc9yC1TvA5XmvSJPzmA84/5A1daUx9XIuwrY6N88Hh4vvVhCJD0EJHDydtCPmzciMta9EkrnE/Scs86jJBgQRvDKFqG4i6aJXGlIzZwLQBVnYzfFOx9gUNili8hN008DDdrZ+AG+mcGz7MBC9oYxl5CVU8OZvpvBjrg/t5Gh6R9dHVVPS1YHigiP3hVE24640zlDwd+wG/mZCJwFe48XhtXmrQKZ8Dtmy2qugYgMGvN9CVERAYDDXEBti+Az4EequqzNfotuKy2Hh41FIiIvIALaiXjxsLzgHpeRW1NGMZRK1V1oW8RRniwoI1hFAEiUgNXKzsXeIPcdPVDCn3TAYyI3Iq78Yg1srW00MKJHWB4n0kDUlTVZ8tMwzjgCEw9OwAEppq9RaSiqvq+IZojIseq6vygjHORZz2hRVX/JyLn40x2j1HVKR7lPAncqqqLghKki4A5uKyWdz3qAvhRRF7FZW/VxTUt8MX3wKOqumK7WxoANYCTcJOYnYA3fQkJythChYj0ChYTReQT4GdyTaQ7eRNmeMeCNoZRNDyPM4Q8CJiAyyL5B/gYZzRo5KU9cAWuU4VRMNmFLIeBmSJyA3kHG7P9SjKM/Z+gpKYJcANuJnu0X0WAm1WfJSKLgCNxnVqW4Twawlga4Q0RGQLMUdWnRKSziNysqvd5khOvqjNE5AggWVV/DjR6bx+tqveISGNcd8mxqvqeRzmXApfk6woKeO3UdFIQ1NqKEHSP+ldVs0UkWVVXFrTfihDFjVHyZ9b4HFNpvscoYRvnGUWMBW0Mo2jYrKqfAYjI/ar6Z7C83q+s0DIvJGn9YSY6KIvkWz7RryzAzaSdTO5AqATuxs0wjL2AiFwLXI/zSRsP3KWqC7yKCrAsyZ2ilqreBaCq94mIz7LSLcHjRbiSH0QkAUj1pihAREoBp+MyNg4Xke9U9T9PcvJ3tAoDS3GZLGHkJxF5EFgqIq/jSqS8oKrH+vrZhaGqowBE5FlVbRNdLyIvY5O8BzQWtDGMoiF2ZmpTzLK1/C6YtKCz1i9YWmhhXBuzPKSQ5SIlxhz5bBF5MMYc2Vq2G8be5XVc16jpQHWgV3QG2/fMetDppxl5y119t7EOLSJysKr+KyJl8DtO/1xEvgMqAlcEnRyfxZV4+2YkrgvSGJznzku47NwiJ6ajVVngQvIa7Prq1LQ6qitsqGonEUnBjYUvBn70LAkROQk3djoIl50401eXOxFpjfO2KisiTYLVEWIaOxgHJha0MYyiIcxZEWHkQ98Cwk5IB2SFmSNbWq9h7F3O3v4m3ngKaIkzsTW2TQ9gqoj8B5QB7vYlRFX7iMi7wBpVXRoEbYap6gRfmmI4WFUHBcu/iMg1XtU4JuC6R1XHBSR8GhF/4PFnbxMRORLogxsvjAOOAXz7AT2DCywPB17A+TZ5Cdqo6mBgsIh0UtVe232DccBgQRvDKBpClxURcsYAdQh3S0hj24Sh+4JhHBCENIgb5TdV/cq3iH2EMsBxuLbRf6uq14C3qv4RszwX10whDJQUkcNUdbmIHArE+xYERFT1LhEZCTQHvvElJCbLtWu+l7bgvALfUNUtW72xaBgG9AO64LrcjSIE3aNUdY6IZKvqPyKyzpcOEbksyPL5V0RaxL6mqsM8yTJCgAVtDKMICPmAOoxMwAVsjsQNxpYCr3lVZOwIYTZHNgzDD++IyPe4LAQAVPV2j3rCTAtVHYP/zIOw0wWYJCJrgFLAnZ71AGSISAmcAXg24bjHqoHrRPYNLjBSEViGK+O6xZOmkqo6UUQ6q6qKyKbtv2Wv85+ItASSReR6YLVHLWWDx8M8ajBCSBhOKIZhGPkpp6r1RWQEcA/wmW9Bxg5hZYCGYeTnXqAvfm+E9hWKi8g0XOeYLPDvSRRSVqlqJREpF3QgOtO3IGC3Q1l7AAANm0lEQVQwcD/wKS6b5VuvahxlVPXqYHmoiHyqqreISJFrE5HqqvorsElELgTiRaQeeX0efXEHrv34SqB28NwXp4jIcuAJVU33qMMIGRa0MQwjjERrwZNVdaOIWNbGvoGVARqGkZ/lqhoG89p9gfa+BYQZETkDNwnQVkT6B+vigDZANZ/agIWqOh5ARMYBp3jWA1AmJrB1MFA66ACW5EHLuKClfQucz1U54EGglQct+SkPTFfVDiLyBC57y1c3sl+AG4GnRWQB8DHwsarO9qTHCAkWtDEMI4y8JSJdgOki8gNgrdH3AawM0DCMAtgoIh8D07BugNvjZ1zg5gicEeoMv3JCxypc2Ujx4LEs8C/wsC9BBQWScJ1BwxBI6gZMFpG1QAouc/kBnNluUVMbeBIYATRT1WUeNBTGy7j9Aq4RxgvAuT6EBC2/o22/jwHOAl4QkSNUtbIPTUY4sKCNYRhh5B1giapmi8gHQIZvQYZhGMYu8Z5vAfsQI3Gda84EluNuHsNQ+hMWEoGrcPukNi6LcxWu1b0vYgNJhwfrsvAYSIqiqu+LyIe4TJKosfXHnrSsB1oFpWzfisjkmNe8lwCq6g/B49dB9pY3RKQicCmuC2cFXFv0p7b5JmO/x4I2hmGEBhGphjMf7gM8LCLgjIh7AzX9KTMMwzB2kTG4lt8nArOB5/3KCTUHq+pIEblZVSf5vnkMIU8Ct6rqoiB76yJgDi7Q9a4PQao6E5gpIsNx/iyVgfmqutKHnlhE5HygLVAieI6qnuNRTxWgF/AVLrslLKwOOjV9D9QFfHaPmoEzIv8I6KCqv/vSYoQLC9oYhhEmDgKuBw4FbgjWZQHPeVNkGIZh7A5DcSbEn+EyJEYAt/oUFGaCG1tEpAKWZZqfeFWdISJH4DzvfgYQkSzPugAaAj2B34FqItJdVUd71jQAZ478l2cdiEgHXPC2jap+4FtPPv4P6IzL4vod8Nnd7ntcFlktYIWIrFDVfz3qMUKCBW0MwwgNqvoN8I2I1IoZjMWpahgGZIZhGMbOc7yqNgqW3xaRSV7VhBQRKYXrtPUiUBV4E7jbq6jwsSV4vAj4HCAw1k31piiXtkAtVV0vIqnARMB30GaRqn7uWUOUU4HaYQxABEbNvQgykvBj1BzV0hJyMs8vBl4XkUTgc1V9zJcuwz8WtDEMI4xUFZETcDXifUXkSVW1el7DMIx9jxIikqSqaSJSElfyasQgIm1wRqgZwD2q6sV3ZB/gcxH5DqgIXCEilYFngTB0J8sKfFtQ1XUiEoZW1n8HHZtiTcCH+RCiqk19/NwdQUSewwVIlgER3L5q4FUULAb+wHXZqo/LUrSgzQGMBW0Mwwgj9xHMMABHAZ9iJmyGYRj7IgNxnQBn4nxtunnWE0ZuBATXavgVPJnFhh1V7SMi7wJrVHVpELQZpqoTfGkSkTdU9Tpgnoj0A74GGgFzfWmKYX7weFjwmO1LSMipC1QOQ1a3iAzGldplAV/gMsp6qGqaV2GGdyxoYxhGGInOUK1T1XQRsXOVYRjGPoiqjhGRj4BKOIPW0JVHhIBNqroZWBmUQhiFoKp/xCzPxX9wpHzw2Azn2XIeLkOivS9BIlJBVRcDr/nSsI8xB1caFYbAyPfAY6q63LcQI1zYjZBhGGFkLvAD0FZEugEzPOsxDMMwdoLAo2UI0FJV/xORi4AHReROVfXWnWUfIOJbgLFTVA78UKKsx5VvPQp08iOJdsH/ofnWZwPeukeFmKOAhSIyJ3ierapeyqOi5tUich7uPj0OVwLYWVVf9aHJCAcWtDEMI3SoajMRSQkM/aao6grfmgzDMIydYgjwI+4mFmAscASu5ffNvkSFlJNE5FVcwCa6DICq3uhPlrEDpAHqW0QsqtoueDzbt5Z9hBu2v0mR8ziubHIwzl9nLGBBmwMYC9oYhhEaRKSzqvaMDlhFJLreBq6GYRj7FkfFnrdVNQN4SkS+96gprFwbszzEmwpjV1iuqqN8iygIEbkV6EBuVyRUtZI/ReFCRJqr6gjgLrb2+/GVJRUlDVgBZKjqchExP6IDHAvaGIYRJt4TkZNxqcXlcIaM/wCzvaoyDMMwdpaMQtZvLlIV+wCq+j/fGoxd5iffArZBe+AK4C/fQkJKdL/M8qqiYNbiDMmHiUhr4G/PegzPWNDGMIwwcQJukDEUN8NwNHAP0NWnKMMwDGOnmSMiV6rqO9EVInIFrq2uYewXqOqDvjVsg3mqOmf7mx2YqOonIlJDVUcFBuB3AunASM/SwI2F41T1dxGpBozwLcjwSyQ727KtDMMIByLyLXChqm6IWVcKeMdqsw3DMPYdRKQMrnvNobjWwxVxmZO3Wgcpw9j7iMgbuDbyvxCU/6iq77Kf0CAi7YDrgNOBfriJwoUAqnqfR2mIyLeq2tCnBiNcWKaNYRhhIiM2YAOgqmtFJNOXIMMwDGPnUdXVwMUichTOgHiRqi71q8owDig+9C0g5DTFmfxm40x/j1fV1SIyya8sADaIyACcyXUWgKoO8yvJ8IkFbQzDCBNZhayPK1IVhmEYxp7iMJzRbomoubyq3u1VkWHsx4hIbVWdipUibo91qpopIrVwpWSrg/URj5qiRANHhwaPVhpzgGNBG8MwwkSeVqcBEeBEH2IMwzCM3WYU0AdY5VuIYRwgnAtMZetW1tnAp0UvJ7Rki8gJwG3AuwAicjyFm6gXGaraQ0QOBxJw4+AjPEsyPGNBG8MwwsS1hay3FqiGYRj7Jn+q6ku+RRjGgYKq9gkem8WuD4IARi6dcV1KlwOdRORMYDSubMorIvICUB9IBkoC84B6XkUZXjEjYsMwDMMwDGOvICL/B1wM/B5dp6qP+lNkGAcGIvIo0ApIBJKA2ap6kl9V4UVEigNZqrolBFqmAnVw3VQ7AW+q6lleRRleMZ8IwzAMwzAMY2/RGpgGrIj5bxjG3ucKoAIwBqgKLPErJ5yIyHkichGurGyWiNzoWxPwr6pmA8mqutK3GMM/Vh5lGIZhGIZh7C3+jZZrGIZRpCxT1XQRSVXVOSKS6FtQSHkc1z1qMK7991ggv79iUfOTiDwILBWR13ElUsYBjAVtDMMwDMMwjL3FShEZCvxM0AHFWtcaRpGwWERux7WP7g2U8awnrKThMgAzVHW5iHj3DlHVTiKSAmzClZf+6FmS4RkL2hiGYRiGYRh7iznB42FeVRjGgcfDQClgHK5DUhjKfsLIWuBjYJiItAb+9qwHETkS13XvENz3dwxWWnpAY0EbwzAMwzAMY2/xom8BhnGA8p6qNgyWB3lVEm7aA3Gq+ruIVANG+BYEDAP6AV2Ar4FRWPeoAxoL2hiGYRiGYRh7izdwZVFxwLHAn0DDbb7DMIw9wX8ich+gQBaAqn7qV1IoGRENbqnqTN9iAkqq6kQR6ayqKiKbfAsy/GJBG8MwDMMwDGOvoKr1o8siUgY3g2wYxl5CRN5Q1euAf4GawX9wwVML2mzNBhEZQN7glpfzlIhUV9VfgU0iciEQLyL1cN42xgGMBW0MwzAMwzCMomANUMm3CMPYzykPoKrNfAvZR5gUPB4aPPo0Ih4nIkOAFsBTQDngQaCVR01GCLCgjWEYhmEYhrFXEJHvyb0JOgT4zKMcwzgQqCwivQp6QVU7FbWYsKOqPUTkcCABiABHeJRTG3gS56vTTFWXedRihAgL2hiGYRiGYRh7FBG5NVgcErP6MMBuQgxj75KGK/UxdgAReQGoDyQDJYF5eDL9VdX1QCsRORP4VkQmx7xm3b8OYCxoYxiGYRiGYexpquZ7HgGa4W4oXy56OYZxwLBcVUf5FrEPUQM4CRgKdALe9ClGRKoAvYCvsHOlEWBBG8MwDMMwDGOPoqodo8siUhnXsvZ94H5fmgzjAOEn3wL2Mf5V1WwRSVbVlSLiTYiIdABaAm1U9QNvQozQEcnO9um1ZBiGYRiGYeyviEhrXKCmraq+71mOYRhGHgL/n/9wRsQVgWNV9TRPWsYBd6nqvz5+vhFeLGhjGIZhGIZh7FFE5EjgRdzNUCtVXeVZkmEYRoGISAqurfbFwI+qusKzJMPIg5VHGYZhGIZhGHua34B0YCIwOLbkwAw1DcMIC0GAuQ+uu9044BjAgjZGqLCgjWEYhmEYhrGnudK3AMMwjB1gGNAP6AJ8jfPf8tI9yjAKw4I2hmEYhmEYxh5FVf/nW4NhGMYOUFJVJ4pIZ1VVEdnkW5Bh5CfOtwDDMAzDMAzDMAzDKCpEpHqwuElELgTiRaQeztvGMEKFBW0MwzAMwzAMwzCMA4lxInI/0AJoBpQDHgRa+RRlGAVh5VGGYRiGYRiGYRjGgURt4ElgBNBMVZd51mMYhWItvw3DMAzDMAzDMIwDDhE5ExgJTI6usw53RtiwTBvDMAzDMAzDMAzjgEJEqgC9gK+Al/2qMYzCsaCNYRiGYRiGYRiGccAgIh2AlkAbVf3Atx7D2BYWtDEMwzAMwzAMwzAOJE4Faqvqv76FGMb2ME8bwzAMwzAMwzAMwzCMEGItvw3DMAzDMAzDMAzDMEKIBW0MwzAMwzAMwzAMwzBCiAVtDMMwDMMwDMMwDMMwQogFbQzDMAzDMAzDMAzDMEKIBW0MwzAMwzAMwzAMwzBCiAVtDMMwDMMwDMMwDMMwQsj/A15mtJ4PD7BwAAAAAElFTkSuQmCC\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "## 使用热力图来绘制和离职变量之间的相关性\n",
+    "plt.figure(figsize=(20,10))\n",
+    "sns.heatmap(df.corr(),annot=True)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1440x576 with 2 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 1440x576 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "corr = df.corr()\n",
+    "corr.head()\n",
+    "corr = corr.fillna(0)\n",
+    "show=corr[[\"Attrition\"]].sort_values(by=\"Attrition\",ascending=False)\n",
+    "# 根据热力图，绘制与Attrition相关性最高的前10个特征\n",
+    "#使用sort_values去求前5和后5的柱状图\n",
+    "# 绘制值最高的前5个\n",
+    "plt.figure(figsize=(20,8))\n",
+    "plt.subplot(1,2,1)\n",
+    "plt.bar(show.index[:5],show.Attrition[:5])\n",
+    "# 绘制值最低的前5个\n",
+    "plt.subplot(1,2,2)\n",
+    "plt.bar(show.index[-5:],show.Attrition[-5:])\n",
+    "plt.title(\"The correlation of attrition with other variables\")\n",
+    "plt.show()\n",
+    "#\n",
+    "last_index=len(show[show.Attrition<0])\n",
+    "show=show.iloc[1:11].append(show.iloc[-last_index:])\n",
+    "show=show.iloc[0:5].append(show.iloc[-5:])\n",
+    "index_name=[\"Over Time\",\"Marita Status\",\"Distance From Home\",\"Job Role\",\"Department\",\"Age\",\"Monthly Income\",\"Years In Current Role\",\"Job Level\",\"Total Working Years\"]\n",
+    "show.index=index_name\n",
+    "plt.figure(figsize=(20,8))\n",
+    "plt.bar(show.iloc[0:6].index,show.iloc[0:6].Attrition)\n",
+    "plt.bar(show.iloc[5:].index,show.iloc[5:].Attrition)\n",
+    "plt.title(\"The correlation of attrition with other variables\")\n",
+    "plt.show()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Top Five Reason of Attrition：\n",
+      "MaritalStatus\n",
+      "NumCompaniesWorked\n",
+      "PercentSalaryHike\n",
+      "JobRole\n",
+      "Gender\n"
+     ]
+    }
+   ],
+   "source": [
+    "top5=corr[\"Attrition\"].sort_values(ascending=False)[1:6]\n",
+    "print(\"Top Five Reason of Attrition：\\n%s\"%\"\\n\".join(list(top5.index)))\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 720x576 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "## 离职与未离职的人Totalworkingyears的占比对比\n",
+    "\n",
+    "quit_df=df[df[\"Attrition\"]==1]#离职\n",
+    "not_quit_df=df[df[\"Attrition\"]==0]#不离职\n",
+    "quit_level=quit_df.TotalWorkingYears.value_counts().sort_index()\n",
+    "not_quit_level=not_quit_df.TotalWorkingYears.value_counts().sort_index()\n",
+    "newdf=pd.DataFrame({\n",
+    "    \"quit\":quit_level,\n",
+    "    \"not_quit\":not_quit_level})\n",
+    "newdf[\"quit\"]/=newdf.quit.sum()\n",
+    "newdf[\"not_quit\"]/=newdf.not_quit.sum()\n",
+    "newdf=newdf.fillna(0)\n",
+    "index=newdf.index\n",
+    "plt.figure(figsize=(10,8))\n",
+    "# 设置柱形图宽度\n",
+    "bar_width = 0.35\n",
+    "# 绘制离职原因柱状图\n",
+    "rects1 = plt.bar(index, newdf.quit.values, bar_width, color='#0072BC', label=\"Attrition\")\n",
+    "# 绘制未离职的柱状图\n",
+    "rects2 = plt.bar(index + bar_width, newdf.not_quit,bar_width, color='#ED1C24', label=\"Non-Attrition\")\n",
+    "# X轴标题\n",
+    "plt.xlabel('years')\n",
+    "plt.ylabel(\"People percentage\")\n",
+    "plt.xticks(index + bar_width, index,rotation=60)\n",
+    "plt.title(\"Attrition and Non-Attrition in TotalWorkingYears\")\n",
+    "plt.legend()\n",
+    "plt.show()\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 720x576 with 1 Axes>",
+      "image/png": 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/Jbvu+jY++MF9h6WuNVFLGMvMFcCBq0y+dYB2n296vQx4Tx31SJKk8rbddiYrVvRz9tln8a53ve+p6T/84RlcdtkldHV1MWPG33HwwYfy3e9+m/vuu5dHHnmEBx64j4997HC2226HZ6zz8ssvZdttX8v22+/I2WefxTbbzOTWW//Iddddw2233cojjyxkwYLbOProf+Ozn/0SRx31L0yZsi477LAj11wzn0996jOcfvopLFhwO+eeeza33HITs2fvysyZr+OYY77Avff+hb6+Pt7//n2YPXtXDjnkn9lyy+DOO+9g2bK/8aUv/TvTpm30nPbLyB35JkmSRp1PfvJIfvSjM7nnnrsBWLZsKZdffinz5p3CvHmncM89dzN/fmOk0rhxazF37jc57LAj+NGPzhxwfeef/zPe/va9mDnzddx2W/Lgg3/l5S9/BdtttwMHHXQou+32drbY4mUcddQXGTduHAsXPsw3vvEt9tnnw0+t40Mf+gjbbjuTd77zH56adu65P6Wnp4d5807huONO5OSTT2LRokUAvOIVW3HccScyc+Z2XHrpL57zPhl59wCQJEmj1rrr9nDooUfw5S9/jle/egZPPvkkW231arq7G5Fkxoyt+dOf7gDgZS8LADbccBpPPvkE99xzN1/96pcA2G23t7PVVq/mT3+6gxNO+E+gcQXjz372U/bf/6BBt7/RRhszbty4Ieu86667mDnzdQBMnDiJ6dNfwl/+cs/T6nrhC1/Iww8//Cz2wtN5ZEySJD2vZs16A5tuuhkXXvhz1lprLf7wh1vo7e2lv7+fG2+8gU03bTzTcdVhZZtssiknnPAdTjjhO7zjHXtx/vk/Y//9D+bYY4/n2GOP57jj5nHBBeexfPlyOjo66O9vXG3Z2dnJihUrqnU+M/o05j/9Wd3Tp0/npptuABpH7+644w423njjah3DM97tqe0P69okSZJacNhhRzB+/HgmTpzEm9/8Fg466J/Yf/8Ps9FGG/GGN7xxyOWXL1/OL3/5C2bP3vWpadOmTWOLLbbkiisu45WvfBXz5p3AXXf9iVe96jUcffTnWLx48YDretGLNuHOOxdw1ln/dyr0He/4Bx599FEOOuifOOSQA/jIR/ZnvfXWf86feyAd/f39Q7caoZYv7+sfrfeEeT6NpnvrTJ06ecTe9PXBB4e+0qgVo6m/Rjv7qr2M5v66//4/M23aZk+9X39SN10T1x629fcte4yFS3uHbjiMRvp9xlbd5wBTp07+PTBz1baOGZMkaYxZuLS3pVtR6PnhaUpJkqSCDGOSJEkFGcYkSRoD2nmMeLtZ031tGJMkaZTr7l6LpUsXG8ieB/39/Sxdupju7rVaXsYB/JIkjXLrrTeVRx55kL/9bVHpUoZN4z5iIzNcdnevxXrrTR264cr2NdYiSZJGgK6ubjbY4Lk9P3GkGU23IvE0pSRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIK8kHhbWr9Sd10TVx72NY3derk57yOvmWPsXBp7zBUI0nS2GEYa1NdE9dm4aZbli7jada/+3ZYuqR0GZIktRVPU0qSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBXWXLkAaC/off4KpUycP2/qGY119yx5j4dLeYahGkvRcGMaGMGnK2kwc727Sc9MxYTwLN92ydBlPs/7dt8PSJaXLkKQxz5QxhInju+k44rLSZTxD/9zZpUuQJEnDoJYwFhGdwInADOAJYL/MXNA0/6PAvkA/8B+ZeVZEdAD3ALdXza7JzE/XUZ8kSdJIUdeRsb2ACZm5Q0RsD8wF3gkQERsABwF/B0wA/hARPwY2B67PzD1rqkmSJGnEqetqylnAxQCZeS0wc+WMzHwI2DozlwPTgMczsx/YFnhRRFwRERdGRNRUmyRJ0ohR15GxKcCjTe/7IqI7M3sBMrM3Ig4BvgB8s2pzH/CVzPxxRMwCzgBeu7qNdHV10NMzcfir17Nmf7QX+6teXV2d7uM2Yn+1l9HUX3WFscVA87X3nSuD2EqZeUJEfAe4KCLeBFwHrAxrV0XExhHRUR01G1BfXz+LFi2rofz/M5y3IxgL6u6Podhfa6Z0f412PT0T3cdtxP5qL+3YX4N9R9V1mnI+sDtANWbs5pUzouHsasD+choD/FcAnwM+XrWZAdy9uiAmSZI0GtR1ZOwcYJeIuBroAOZExOHAgsw8LyL+F7iGxtWUF2XmlRFxE3BGROxB4wjZvjXVJkmSNGLUEsYycwVw4CqTb22a/wUa48Wal3kE2KOOeiRJkkYqn00pSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCuutYaUR0AicCM4AngP0yc0HT/I8C+wL9wH9k5lkRsTZwBrAhsAT4cGY+WEd9kiRJI0VdR8b2AiZk5g7AkcDclTMiYgPgIOD1wGxgbkR0VNNuzsydgNOBo2qqTZIkacSo5cgYMAu4GCAzr42ImStnZOZDEbF1ZvZGxHTg8czsj4hZwNeqZhcBnx1qI11dHfT0TBz+6vWs2R/txf6qV1dXp/u4jdhf7WU09VddYWwK8GjT+76I6M7MXoAqiB0CfAH45gDLLAHWHWojfX39LFq0bPiqHsDUqZNrXf9oU3d/DMX+WjOl+2u06+mZ6D5uI/ZXe2nH/hrsO6qu05SLgeYtdq4MYitl5gnARsAbIuJNqywzGVhUU22SJEkjRl1hbD6wO0BEbA/cvHJGNJxdjRNbTmOA/4rmZYDdgF/XVJskSdKIUddpynOAXSLiaqADmBMRhwMLMvO8iPhf4BoaV1NelJlXRsRvgdMi4irgSWDvmmqTJEkaMWoJY5m5Ajhwlcm3Ns3/Ao3xYs3LLAPeU0c9kiRJI5U3fZUkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqaDuOlYaEZ3AicAM4Algv8xc0DT/E8D7q7cXZuYXIqIDuAe4vZp+TWZ+uo76JEmSRopawhiwFzAhM3eIiO2BucA7ASLipcA+wHbACuCqiDgHWAZcn5l71lSTJEnSiFPXacpZwMUAmXktMLNp3t3A2zKzLzP7gXHA48C2wIsi4oqIuDAioqbaJEmSRoy6joxNAR5tet8XEd2Z2ZuZy4GHqtOSXwduyMzbImIa8JXM/HFEzALOAF67uo10dXXQ0zOxpo+gZ8P+aC/2V726ujrdx23E/movo6m/WgpjETEb2By4FrgtMx8fYpHFwOSm952Z2du0vgnAKcAS4OBq8u+AXoDMvCoiNo6Ijuro2YD6+vpZtGhZKx/hWZs6dfLQjfSUuvtjKPbXmindX6NdT89E93Ebsb/aSzv212DfUUOGsYg4BtgEeAWNwfifBj4wxGLzgT2Bs6oxYzc3ra8DOBe4PDP/vWmZzwEPA1+LiBnA3asLYpIkSaNBK0fGZmXmGyLiisw8LSIOamGZc4BdIuJqoAOYExGHAwuALmBnYHxE7Fa1/zTwVeCMiNiDxhGyfdfws0iSJLWdVsJYd3VasT8iuoC+oRbIzBXAgatMvrXp9YRBFt2jhXokSZJGjVbC2DeA3wNTgeuq95IkSRoGQ4ax6urGXwJbAHdm5sP1lyVJkjQ2tDKA/wqgv+n9chr3Cjs6M++qrzRJkqTRr5Wbvt4FnAkcBJwO/A24BvhufWVJkiSNDa2EsRdn5n9lw6nAlMz8LvXdMFaSJGnMaCVQrRURb6VxNOz1wLjq+ZKj47a3kiRJBbVyZGxf4AAaV1J+pPrZHji8vrIkSZLGhlauprwD+IeV7yNio8w8s9aqJEmSxohWrqb8Eo0buK5F49TkbcBWNdclSZI0JrRymnJPGs+m/AGN51P+pdaKJEmSxpBWwth9mfkEMDkzF9A4QiZJkqRh0EoYuyciPgIsjYivAD31liRJkjR2tBLGDgAuAz4F3At8oNaKJEmSxpBBB/BHRBfQBfw38D6gA/gv4ALgzc9LdZIkSaPc6q6m/AjwGWAakDTCWB9w1fNQlyRJ0pgwaBjLzJOBkyPiI5l5yvNYkyRJ0pjRyuOQLo2IfwEmrJyQmV+sryRJkqSxo5UB/D8GpgAPNP1IkiRpGLRyZGxJZh5VeyWSJEljUCth7JaIeD9wA9APkJm31VqVJEnSGNFKGNu6+lmpH29tIUmSNCyGDGOZ+aaIWBeYDtyRmX+rvSpJkqQxYsgB/BHxLuBXwBnAJyLC8WOSJEnDpJWrKQ8HtgceAo4G/r7WiiRJksaQVsJYX2Y+AfRnZj+wtOaaJEmSxoxWwthVEfFDYJOImAf8tuaaJEmSxoxWBvB/JiLeBlwP/DEzf15/WZIkSWNDKwP49wR2yMyvA4dExK71lyVJkjQ2tHKfsS8Ab6pevw+4CLiktookSZLGkFbGjC3PzEcBqv/21VuSJEnS2NHKkbHfRMSZwDXAa2k8FkmSJEnDoJUw9lngjUAAP8nM82qtSJIkaQxpJYz9PDNn1V6JJEnSGNRKGFsYEYcBCawAyEwH8EuSJA2DVsLYw8DW1Q9AP15NKUmSNCxauenrnIh4GbAFcBNwb+1VSZIkjRFDhrGIOITGw8HXB04FtgQOqbcsSZKksaGV+4y9H9gFWJSZxwHb1VuSJEnS2NFKGOukMU6sv3r/RH3lSJIkjS2tDOA/E/gfYLOIuBD4Wa0VSZIkjSGtDOA/ISIuA7ZqvM2b6y9LkiRpbBjyNGV1JeVXgaOBz0XEZrVXJUmSNEa0MmbsdGAejYH736NxRaUkSZKGQStjxpZm5kXV6wsi4vA6C5IkSRpLWgljd0fEUcDlwLbAExGxKwz+WKSI6AROBGbQuPpyv8xc0DT/EzRumQFwYWZ+ISLWBs4ANgSWAB/OzAef3ceSJElqD62cpuwHNgf2B7YBHgA+wP+FqYHsBUzIzB2AI4G5K2dExEuBfYDXA9sDu0bEa4CDgJszcycap0aPWtMPI0mS1G5aehzSs1jvLODiavlrI2Jm07y7gbdlZh9ARIwDHq+W+VrV5iLgs89iu5IkSW2lldOUz8YU4NGm930R0Z2ZvZm5HHgoIjqArwM3ZOZtEdG8zBJg3aE20tXVQU/PxOGuXc+B/dFe7K96dXV1uo/biP3VXkZTf9UVxhYDk5ved2Zm78o3ETEBOIVG6Dp4gGUmA4uG2khfXz+LFi0bjnoHNXXq5KEb6Sl198dQ7K81U7q/Rruenonu4zZif7WXduyvwb6jWnlQeBewL7AZjUH8t2TmQ0MsNh/YEzgrIrYHnrpRbHVE7Fzg8sz891WW2R34DbAb8OuhapMkSWp3rRwZ+zZwL42Hhf+WxuD63YdY5hxgl4i4GugA5lS3xFgAdAE7A+MjYreq/aeBk4DTIuIq4Elg7zX8LJIkSW2nlTC2eWbuFxGzMvP8iDhyqAUycwVw4CqTb216PWGQRd/TQj2SJEmjRiu3tuiOiA0AImIysKLekiRJksaOVo6MHUVjPNdGwLXAx+ssSJIkaSxp5T5jVwIREVOBhzKzv/6yJEmSxoZBw1hEXEPj7vurTiczX19rVZIkSWPE6o6Mre5xR5IkSRoGgw7gz8w/Z+afgfHAN2k83mjuYO0lSZK05lq5mvJ0YB6Nh3p/Dzi1zoIkSZLGklauplyamRdVry+obt4qSZKkYdBKGLs7Io6i8SikbYEnImJXgMy8pM7iJEmSRrtWwlg/sDnwUhqPNnoA+EA13TAmSZL0HLRyn7E5EfEq4JXAbZl5Y+1VSZIkjRFDDuCPiI8BJwOvB74TEZ+svSpJkqQxopWrKfcGdsrMjwM7Au+rtSJJkqQxpJUw1pGZvQCZuRxYXm9JkiRJY0crA/ivioifAL8GdqLx0HBJkiQNgyGPjGXmJ2nc7LUb+F5mfqr2qiRJksaIVgbwTwZ2ALYCxkfEFrVXJUmSNEa0MmbsFOBOYEvgfuC7tVYkSZI0hrQSxl6QmacAyzPz6haXkSRJUgtaClYR8fLqv5sAvbVWJEmSNIa0cjXlYTQG8L8C+AlwcK0VSZIkjSGrDWMRMQW4IzN3eJ7qkSRJGlMGPU0ZEYcA/wv8b0S89fkrSZIkaexY3ZixvYGgcVuLjz8v1UiSJI0xqwtjj2fmk5n5ELDW81WQJEnSWNLqbSo6aq1CkiRpjFrdAP6tIuJMGkFs5WsAMnPv2iuTJEkaA1YXxt7b9Hpe3YVIkiSNRYOGscy88vksRJIkaSzy0UaSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkHddaw0IjqBE4EZwBPAfpm5YJU2U4H5wGsy8/GI6ADuAW6vmlyTmZ+uoz5JkqSRopYwBuwFTMjMHSJie2Au8M6VMyPircBXgWlNy2wOXJ+Ze9ZUkyRJ0ohTVxibBVwMkJnXRsTMVeavAN4C/L5p2rbAiyLiCuAx4BOZmavbSFdXBz09E4evaj1n9kd7sb8G1tW3nM4JE4ZlXVOnTh6W9ax4/HH6usYNy7o0sK6uTn8n2sho6q+6wtgU4NGm930R0Z2ZvQCZeSlARDQvcx/wlcz8cUTMAs4AXru6jfT19bNo0bJhLXxVw/WHdKyouz+GYn+tmdL9NVJNnTqZhZtuWbqMp1n/7tt5+MElpcsY1Xp6Jvo70Ubasb8G+46qawD/YqB5i50rg9hq/A44FyAzrwI2rsaRSZIkjVp1hbH5wO4A1Zixm1tY5nPAx6tlZgB3Z2Z/TfVJkiSNCHWdpjwH2CUirgY6gDkRcTiwIDPPG2SZrwJnRMQeQC+wb021SZIkjRi1hLHMXAEcuMrkWwdoN73p9SPAHnXUI0mSNFJ501dJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBdX1bEpJGtKkKWszcbx/hiSNbf4VlFTMxPHddBxxWekynqF/7uzSJUgaQzxNKUmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBXUXcdKI6ITOBGYATwB7JeZC1ZpMxWYD7wmMx+PiLWBM4ANgSXAhzPzwTrqkyRJGinqOjK2FzAhM3cAjgTmNs+MiLcClwDTmiYfBNycmTsBpwNH1VSbJEnSiFFXGJsFXAyQmdcCM1eZvwJ4C7BwoGWAi6r5kiRJo1otpymBKcCjTe/7IqI7M3sBMvNSgIgYbJklwLpDbaSrq4OenonDUrCGh/3RXuyv9mJ/1aurq9N93EZGU3/VFcYWA5Ob3neuDGItLjMZWDTURvr6+lm0aNmzKrBVU6dOHrqRnlJ3fwzF/loz9ld7Kd1fo11Pz0T3cRtpx/4a7G9eXacp5wO7A0TE9sDNa7IMsBvw63pKkyRJGjnqOjJ2DrBLRFwNdABzIuJwYEFmnjfIMicBp0XEVcCTwN411SZJkjRi1BLGMnMFcOAqk28doN30ptfLgPfUUY8kSdJI5U1fJUmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBXWXLkCS1B4mTVmbieNH3tfGiscfp3PChGFZ19Spk4dlPX3LHmPh0t5hWZdGv5H3WyVJGpEmju+m44jLSpfxDP1zZ7Nw0y1Ll/E06999OyxdUroMtQlPU0qSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKqi7jpVGRCdwIjADeALYLzMXNM3fHzgA6AWOzsyfR8T6wG3ALVWzczLzuDrqkyRJGilqCWPAXsCEzNwhIrYH5gLvBIiIacChwExgAnBVRFwKbAP8MDM/VlNNkiRJI05dpylnARcDZOa1NILXSq8D5mfmE5n5KLAAeA2wLbBtRFwZET+OiI1qqk2SJGnEqOvI2BTg0ab3fRHRnZm9A8xbAqwL3Ar8PjN/GRH7AMcD717dRrq6OujpmTi8les5sT/ai/3VXuyv9mJ/1aurq3PU7OO6wthiYHLT+84qiA00bzKwCLgOWFZNOwf44lAb6evrZ9GiZUM1e06mTp08dCM9pe7+GIr9tWbsr/Zif7WX0v01Eq0/qZuuiWsP2/o6O7uGZT19yx5j4dLeoRs+R4P9DtUVxuYDewJnVWPGbm6a9xvgyxExARgPvILGoP3TgJ8CZwGzgd/XVJskSSqga+LaLNx0y9JlPMP6d98OS5cU235dYewcYJeIuBroAOZExOHAgsw8LyK+Cfyaxpi1f83MxyPiSOCUiDgYWArsV1NtkiRJI0YtYSwzVwAHrjL51qb5JwMnr7LMn4A31VGPJEnSSOVNXyVJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSC6rrpqyRJKmjSlLWZON6v+XZgL0mSNApNHN9NxxGXlS7jafrnzi5dwojkaUpJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCuquY6UR0QmcCMwAngD2y8wFTfP3Bw4AeoGjM/PnEbEBcCawNnAvMCczl9VRnyRJ0khR15GxvYAJmbkDcCQwd+WMiJgGHArsCLwV+EpEjAf+DTgzM3cCbqAR1iRJkka1jv7+/mFfaUQcC/wmM/+7ev+XzHxR9fodwO6ZeWD1/hzgGODb1fT7I2IGcExm7jHEph4E/jzsH0CSJGn4bQZMXXViLacpgSnAo03v+yKiOzN7B5i3BFh3lekrpw3lGR9IkiSpndR1mnIxMLl5O1UQG2jeZGDRKtNXTpMkSRrV6gpj84HdASJie+Dmpnm/AXaKiAkRsS7wCuCW5mWA3YBf11SbJEnSiFHXmLGVV1O+BugA5tAIWgsy87zqasp/phEGj8nMn0bEC4HTaBwVewjYOzOXDntxkiRJI0gtYUySJEmt8aavkiRJBRnGJEmSCjKMSZKkthARo/KWVoYxaYSLiH+MiFMj4s2la9HQImLniPhkdfNqjWAR8a6IWKd0HVoj8yJii9JFDDfD2BgTEbMj4gWl61BrIuJfgbcA1wDfiIjXVNM7ihamAVX9dQgwHvhYRGwYEZsULkuriIiOiHgFcAbwtYh4XTV91H3JjyYRcQRwI3BvRLwnIk6OiK3LVjU8DGNjz98DF0bEQaUL0epFxBRgNnBkZn4buLB6D/CCiFirWHF6hoiYDLwJOCwzvwy8Dvh34M6IOLxocXqazOzPzD8C5wDrA1+IiP8BvlS2Mg0mItYH9ge+BnwV2JLGzeFPj4iDC5Y2LAxjY89dwP3AthFxSUQM9fxPFVAd+fobcBvw+mry2TTu3QdwEvCuAqVpAE39dQewYxXM7snMOcBLgJdFxKSSNWpA3wO+ReO+l5sAL4qIj9pXI0v1+9UL/Ba4Gnh5Zh6TmZ8C3gu8tLq/adtq6+L1rNwEnJGZ+9G4ye7HIuKciNi8cF1qUv2f+wrgdBp/gAAeBJZHxGwajxj7YbEC9TRVf/UDxwO/zMwlwLur2ZvR+PLwJtYjSPUFfxuwK/B54JvAAcCW9tXIUv1+Lc7MD9L4H9HfV//DA43nWG9T/b1sW970dQyKiImZuax6/QLgUODCzLyubGUaSkRcR+NIy3sy88rS9WhwETEBOAzYA/h8Zl5euCQNICI+DuwD7JiZTxYuR0OIiG7gBcDjwDE0zhZ8rt1/vwxjUhuJiP2AmZl5YOlatHrVGJfXAo8bnEe2iNg4M++NiLUMZO2husXF9sBfR8OBBMOY1EYioguY4GkUSRo9DGOSJEkFOYBfkiSpIMOYJElSQYYxSZKkggxjkkaViPhVRLx8kHl3VbecaJ72xoj47xrqeMa2JGkghjFJkqSCuksXIEk16ImInwNTaPydO6rpppDfjojpwAPAhwdbQUTsDHwZ6KPxmKMDgB8Bx2XmlRExE/gsjTvtz6PxrLzOalu/quNDSRqdPDImaTT6JHBpZr4BeA/w3erxNwAnZebONJ7Tuv9AC1dtTwb+oWr7F2DfatrKADener8f8FC1rXfSeNahJLXMMCap7UXEOhExrmnSJOB/ADLzL8BiYEPgycy8tmpzNRCDrHIqsBFwVkT8isbzCzcDfgG8rrq7/k7ARcCrgd2rdj8FuiNig+H7dJJGO8OYpNHgNGBWRHTSCF330QhLRMSLgPWAh4G1ImLrapmdgFsGWd9DwD3AOzPzjTROV15ePYz4xzQeVvyzzOwDbgV+WLXbrZq/cJg/n6RRzDFjkkaDucA3q9c/Af4TOCUi3g2sDfxzZvZGxBPAxyJiS+DPwJHAjsCuEfG7pvXtTeMh3xdUAW8x8KFq3inAnTTGiAF8Gzg5Iq6kMUbtxMxcETHYQTdJejofhyRJklSQpyklSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBf1/WTE8w+z6XmoAAAAASUVORK5CYII=\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "quit_level=quit_df.JobLevel.value_counts().sort_index()\n",
+    "not_quit_level=not_quit_df.JobLevel.value_counts().sort_index()\n",
+    "quit_level/=sum(quit_level)\n",
+    "not_quit_level/=sum(not_quit_level)\n",
+    "index=quit_level.index\n",
+    "plt.figure(figsize=(10,8))\n",
+    "# 设置柱形图宽度\n",
+    "bar_width = 0.35\n",
+    "# 绘制离职原因柱状图\n",
+    "rects1 = plt.bar(index, quit_level.values, bar_width, color='#0072BC', label=\"Attrition\")\n",
+    "# 绘制未离职的柱状图\n",
+    "rects2 = plt.bar(index + bar_width, not_quit_level.values, bar_width, color='#ED1C24', label=\"Non-Attrition\")\n",
+    "# X轴标题\n",
+    "plt.xlabel('JobLevel')\n",
+    "plt.ylabel(\"People percentage\")\n",
+    "plt.xticks(index + bar_width, index,rotation=60)\n",
+    "plt.title(\"Attrition and Non-Attrition in JobLevel\")\n",
+    "plt.legend()\n",
+    "plt.show()\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## 绘制一个包含两个子图的图表，分别表示离职员工和未离职员工的婚姻状况\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1152x432 with 2 Axes>",
+      "image/png": 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BJIQQQgghhBBZUiAJIYQQQgghRJYUSEIIIYQQQgiRJQWSEEIIIYQQQmRJgSSEEEIIIYQQWVIgCSGEEEIIIUSWFEhCCCGEEEIIkSUFkhBCCCGEEEJkSYEkhBBCCCGEEFlSIAkhhBBCCCFElhRIQgghhBBCCJElBZIQQgghhBBCZEmBJIQQQgghhBBZPq8DiPxkmuYo4BlgKqABfuA/wAzgIKXU1a2cpx9wt1JqVGu+rhBCCCGEKCxSIImt8b5S6hgA0zRLgI+A01u7OBJCCCFEYTJN83JgDO6FWBu4DDgRuEkptWAz9jMKOHvteYsQv0YKJNEslFINpmneA9xumuYi4AngUKXUqQCmaU4C9gXGAhcDSWAm8FvgeOA03CGfVwHbAucABvCKUuoq0zSPBC4FMsAnSqnLTdPsBDyO24O1rJXeqhBCCCFagWmaA4CDgN2VUo5pmkOA/yqlBnubTBQ6KZBEc1oOtAUWAa8DN5imGQUGAHNwi5u/AUOVUvWmad4MnAU0ANVKqYNN02wP3A0MAhLAdaZpds8+b5hSKmaa5qOmaY4FDgaeVErdZ5rm0bhFlRBCCCEKQy3QHTjNNM23lFKTTdPc2TTND4GzgWOAHkB7YBvgEqXU26ZpHgBcnX1+NfAd8OHanW7oomvrvSWRD2SRBtGctgEeA1BKZYDngMOAU4H7gJ7AD0qp+uz2/wMGZv+vsv/2BKYopeJKKSd70OoItAPeyB4UBwC9gL7Al9nnfdqC70sIIYQQrUwptZhsDxIwwTTN6cAB622WVErtB1wEXGKapgHcCuynlNoLiK+7sWmaVbgXXfdWSo0AumQvugrxIymQRLMwTbMMOBNYuc7DD+COEx4OvAvMBQZke5UARuIu6gDuuGKA2UA/0zSD2f0+h9sztRAYm12E4Tbgc9wFInbNPm+n5n9XQgghhPCKaZq9gTql1GlKqe7ACbijTKrW2eyb7L8LgRDuBdU6pdTy7OMfr7fb3mz4oqsQP5ICSWyN0aZpfmia5njgVdz5Q2t7glBKzc3+92WllK2UWpXd5gPTND/HHY5317o7VEqtBK4HPjJNcwIwSSk1H7gp+9gXwH64hdXfgUOzB7iDWvB9CiGEEKL1DcKd2xzIfj4DqMEdGreWs95zVgClpmm2y36+y3pfn8uGL7oK8SPNcdb/vRJCCCGEEMJ7pmn+CTgKd76yjnsR9WJ+moO0TCl197q3+zBNcz9+moOkA+Nxh+KfrZQ6xjTNE4BzcReDmgecqpSKteobEzlNCiQhhBBCCFEwTNP8P9xlwJOmaT4GvKOUesTrXCJ/yCp2QgghhBCikNQDn5umGcPtIXra2zgi30gPkhBCCCGEEEJkySINQgghhBBCCJElBZIQQgghhBBCZEmBJIQQQgghhBBZUiAJIYQQQgghRJYUSEIIIYQQQgiRJct8i3ylAUEgAoSzH2v/b6yzzdoPgDSwClgJ1PHLu28LIYQQYutogB8IZD+C6/x//c813PZ43Y9k60cW4uekQBK5SAMqgO7ANsA2iXSmVzyVMTWNHkGf0Snk10sztmOnM46VytiZpJWxk2nbTlq2k7EdnGzt4zhuFeQ4DkGfQUXYb5SGfAGfoRtJK9OQzjg1tu2sBpb7ffqSaMBYpGna2iJqFbAAmANkPPg+CCGEELlCA9rwU9vcPZ7O9E64bfO2QZ/RMeDTI4auGRnbsTO2k7Fs27YyTsayHcfK2HY64zipjO2kMzZpywYNogEf0aDPCAcMX9hvBAAnZdnxVMauydjOSmBZwNAXR4PGAk3TlgMKmIrbTgvRIuQ+SMJL5cBwYEh9It0vnXH6GLrWPew3OtiOo62sTyYW18SZu6oxMH91Y2hJTYJF1XEW18RY1ZAiY2/5727Qp1MR8dMmGqQy6qcqEqCqJEhVNOC0Lw0m25cGU+1Kg07nirBRHvYHGpPWXEPXvioN+T8HvgO+B6qb59sghBBC5IwSYJjtODs3JKztLdvp49O1ruGA0S6dsZ2V9cnkwjVx5q1uDM5fHQsuromxpCbB4po4NbEU6czWnVcGDJ2ysI+qaIA2JUHarv23JGh3qQwn+nUsTW/bNhrGIZlIZ2YHfPrX0aDvG+AH3MJpRTN8D0SRkwJJtBYdMIFd6xPp0Y7DHiG/0WnG8vrYxHlrIvNWx/yLq92D7KKaGHVxy+u8PyoN+ujbsZT+ncoY1KU8PqhreapHu2jEyjj1ScueUhL0TQj49G+Ab4FZQO6EF0IIITbOAPoDw+sT6VG2w4iw3+gyd1Vj/Iu5q0NqWX1gcU2cxdVxltTEaUzlzmCK9qVB+nQooW+HUgZ0KosP7Fye6tE2GtI00vF0Zrbf0L8uCfomAR8DUwDb48gij0iBJFpKGTDcyti71yessZGAMaQuYdlfzVvDhDmrS75ZUMO0pXVYW9EL5CVNg26VEfp3KmVApzJ7SLeKhv6dyvTKaCDYmLS+Kw35nzF07XXcq1n5+SaFEEIUmk7A8KSV2S2WyoyOBnzbVcdS6a/nV2tfzF0TnbygmmlL60ll8reWaFcapG+HEvq0L2X7ruXxEb3bZspCfieVsT8oD/tfAd4D5nudU+Q2KZBEc/EDoxqS1jG27ewd8hudZyyvj302e1Xkq3nV/m8W1LCyofDnXZYEfQzvWcXY/h0SYwd0yIT8RsJxeL0k5HsRGA/Ue51RCCFE0dCB4Yl05igrYx+ta1rV90tqk5/PXl3yzYIaffKiGmpiaa8ztrguFWF2692Gvft1aNy9dxsdqNU07e2SoO814ANgtccRRY6RAklsjQAwuj6RPsFv6AcvWBOzX5i0qOTTWav1fO4dak692pWwl9nO2W/7TvXbdykPxVLW99nepTdwx0vLN0kIIURzCgB7NSStYw1NO2RVQ1J/efKS8Fs/LPVNWVzndbacYHYoZUSfts6Y/h3qh3avCCXTmfkBv/Fa2G+8AXyIDJUvelIgic0VBMbUJ9In+Q39gDkrG63nJy0qfWvKMm1xTdzrbDktEjDYtVcbxmR7l8Ju79IbJSHfs8BbuMuQCyGEEJurFNivLp4+LujTx81Z1Zh+6ZvFJW//sEyftzrmdbac5jc0BnetYESftpnfbN+psWtl2HHg0UjAdz/u3GJRhKRAEk0RAsbVJdInBw19vxkrGtLPf+0WRcvqEl5ny1u92kXZy2zvHDK0S32vdiWag/NIJOC7B3eFPCGEEOLXlANH1MRSJ4UDxvDJC2pSL09eUvrutOWsrC/8Ie0tpWfbKIfv2NU6ZqduKb+hL48EjTt9uv44sNTrbKL1SIEkNkYDRtXG0xeF/Po+05bWp16YtKj0zSnLNDnwNr9t2kQ4ali39HE7d08bura4JOS7Vde0J5Fx0UIIIX5uYEPSutSna8d+Nnu1/dI3i6MfTF9BfVJGhTUnTYPhPao4eqfu8X0HdtRTVuar8kjgDuBlQLrlCpwUSGJ9JbbjnNCYtC6viaXb3PfxnOgb3y/VVjWkvM5VFHQNdu/dluOGd2/cy2xvpDP2q6Uh/7+BL5H5SkIIUaz8wMG18fQfgYH//Wye/7HP5/tWyAXLVhHy64wb0JETdtmmfnDXcl8qY79UGvLfg7uEeP4u+Sc2SgoksVafWNK6WNe1UybMXu3c+/Gc6ITZ0nnhpYqIn6OGdbPPGNEjHvIbi8vC/uuBp5ArV0IIUSw6pCz7bMu2L5qzstF390ezS9/+YdlW34xVbLkOZUEOGdLFPmGXbWIVEf/q0pD/T8DTyMIOBUUKJLFLXTx9ta5rezz++XzjkQnz/bLYQm7RNBjZpx1n7tmzYcdtKjXbcR6IBHzXAsu9ziaEEKLZacAu9Yn07/2Gvt+r3y5xHvx0bnjaUrlLRK7Zs09bfjfObOjdviQWDhh/0TXtv4BMzi4AUiAVJw3Yvy6eviZp2eZt788MP/PVQi2Rll7iXNe1Msxv9+yZPHLHbraDc2e2UFrjdS4hhBBbTQeOqIunr0mkM13u/XhO+JmvFup1cemYyHXDtqnk0nF9G4Z0q7D8hv4Pv6HfDTR4nUtsOSmQiosBHFefSF+9qiHV9uZ3Z5S8/v1SMnK/orzTqTzEJWP7Jg4c3Dmjw01Bv3EjIDe4EEKI/DSmPpG+fVltosu1b0wv+XDGCuT0LP8M7FzGRXv3ie3Rp52ta9wc9Bv/QS5i5iUpkIrH6IaEde+81Y0drn9resnHM1d5nUc0g+5VEX6/jxkf079DxtC1fwR8+q3IHCUhhMgXO9bF07fFUplB17w2NfrGlKVSGBWAnm2jnD+6d3z/7Ts5tuPcGwn4rgeWeZ1LNJ0USIWvT30ifUc8ndn9Ly//EHlrivx9FqLe7Uu4fN9+sd16t0kFDP0qn6HfA8jyRkIIkZv61CfSN9kOe9/w1vTQ0xMXapaM5ig4nctDnDOqd/KIYV0dxy2U/gzIZLI8IAVS4aqIpaxrgNNve39W4MFP5hpJS+YYFbqBncu4Yv/+jUO6VcTDAeP/shNG017nEkIIAUCnxqT1D+DYuz6c7Xvgk7m+eDrjdSbRwtqVBPnzAf3jYwd0SEQCvvNwV6SVE/AcJgVS4fFZGfu36Yxz3WvfLfFf/9b0sNzDqPjs0L2CP/1mQEO/jqX10aDvHNwb2wkhhPBGeSKd+T/H4cInv1xg3Pr+zEBNTK5dFZsdulfyryMHNbYvDU4rDflPBaZ4nUlsmBRIhWVcQ8K6Z8by+nZ/eun7qCwJKnbv3YYbjxwcKwn6xpeG/GciS4MLIURr0jK2c0rKsm95+4dlvhvemh5eUiurQBczXYMTdtnG/sO+/ZIaPBgN+v4E1HqdS/ycFEiFoV9dPH1XLJXZ6cqXp0TfnSrnwOInQZ/O78b1TZ24y7bJoF8/V9e0x5GufSGEaGld6xPpx1bUJ4dd+OQ30R+WyEKj4idV0QB//k3/+L7bdUyG/MaFuqY9hrTNOUMKpPzmj6cyV9uOc9F/3psRePizeYbcXVtszHZdyrjt2B0a25YEvioN+U8CFnidSQghCpCWsZ3TU5b9n7s/mh2444NZflmAQWzM0G4V/OvIQY0dykIzssPuvvU6k5ACKZ/1bkhYL01ZUtvjgie/iayslwXLxKb5dI1z9+plnTOyd9JvaH/wuTezk9U7hBCieXSvT6QfX1aXGHrBE99Epy+Toe5i03QNjtm5u33Ffv2TaDxcEvT9Doh7nauYSYGUf7SM7ZyWtDK3/uttFXz4s3mG/AjF5urdvoRbjxna2K0qPL005D8WmOl1JiGEyGOalbHPTGecm+78cFbwrg9n+6TXSGyuyoif6w4bFB/Rp+3SkqDvAGCa15mKlRRI+aVNfSL92KqG1B5nPfpVdMbyBq/ziDyma3DKbttmLtvHTPl07ZqAz/gXYHmdSwgh8sw29Yn0k0trE4POf2KStM1iqx29Uzf7qgMHJPyGfrHf0O9H5ia1OimQ8seYWMp6+umJC6P/fHN6UO5pJJpLt6owNx81pLFfx7KFJSHfIYDyOpMQQuQB3crYZ6Uzzo23vT8zcM//5vgy0mskmknv9iXcf9KwxjYlgfHZecOy0l0rkgIp9wUbk9aNqYx9+gVPfBP+ZNYqr/OIAnX88O72n37TPxYJ+I4FXvM6jxBC5LDK+kT6+SU18Z3Pe+Kb6KwV0mskml/Qp3PVgQMThwzpXBsJ+g4GvvA6U7GQAim3DWxIWi9/OXdNp0ufmRyRm8qJlja0WwUPnrJTPBQwbgj7jauRBRyEEGJ9gxuT1lvPfb2o8prXpgZlrpFoafsM7Mi/jxwc9xvaNUG/cT3SNrc4KZByk5a0MudlMs71f3t1avjprxZqXgcSxaNdaZCHT92psXtV5OPSkP8oQJZhEkIIwLLtE1OWffflz38ffuXbJdI2i1bTpSLMPSfu2LhNm8g3pSH/EciN31uUFEi5x9eYtO5e2ZA89pQHv4zMWx3zOo8oQgFD5++HbpfYf/tOy0uCvrHIKndCiOIWaExad9Ql0sed8uDEiFou141E6zN0jd+N7Zs+ZfdtGyMB35HAe15nKlRSIOWWkoaE9coPS2uHn/HwV5H6pCwoJrx13M7d7SsPGBALB4yjgTe8ziOEEB5o25Cw3py0oHrAeY9PkrZZeG7XXm2498Qd4yG/cYHf0B/wOk8hkgIpd3RqSFrvv/PDsm3/8Nx3IRnTLHLFDt0refCUYfGQ3/hnyG9cgyw3KoQoHgNiSWv8Y1/Mr7ruzekBOWUSuaJn2yhP/XaXWGnIf3M4YFyJtM3NSgqk3DAwlrI+uPujORW3jp/p9zqMEOtrXxrkv6ft3NitMvJRSch3NCBLNgkhCt2+sZT17J9fmhJ9YdJimW8kck67kiBPnDm8sXNF+IVo0Hcaci/DZiMFkvdGx1OZl6948fvoi9/IAVjkroChc+1h2yf2267j0mjQNwaY43UmIYRoCSnLvjiRzlx76sMTw1/Pr/Y6jhAbFQ0YPHDKTrHtOpd/URLyHQg0ep2pEEiB5KGM7ZwcT2XuOuORieHP56zxOo4QTXLybtvaf9zXrIkEfHsAU73OI4QQzUiLpax/rG5IXXTsfZ9HFlXHvc4jxCb5dI0bjxycGNO/w+ySkG80sMLrTPlOCiRvaPFU5uqGpHXpsfd9HpEbzIl8c+jQLs4/Dt2uLhLwjQYmeZ1HCCGagRZLWv9aXp885/C7PousaUx5nUeIzXLZuL7pU3fvsSoa9O0JzPI6Tz6TAqn1BRoS1n8X18QPPOH+L6IrG5Je5xFii+wzsAM3Hz2kIRLw7Qt86nUeIYTYClosZd2ytCZx2hF3fxatlhuzizx1/PDu9p9/078+HPCNA770Ok++kgKpdYXqE+m3Jy2oGXb2o19H4umM13mE2Cp79GnLPSfuGIsEfIcA73qdRwghtoDWmLTuXFQdP/GoeyZEa+NSHIn8tnf/9tx27NBYJOA7GnjN6zz5SAqk1hNoSFhvfTZ71S7nPD4pnJFlvEWBGLZNJf89bedYNOg7ErlXkhAiv+iNSeu++atjxxxz74RIXUIWAROFYUi3Ch49fedYach/LPCK13nyjRRIrcPfkLBemThvzZ5nPvJVRO5xJArN0G4VPHbG8Fg06DsMeNvrPEII0QR6Q9L679yVjYcee9/n0Qa5AawoMNt3KefJ3+4SLwn6DkXa5s2iex2gCPgaEtZzkxfV7HnWo19LcSQK0jcLazjxgS8jjUnrBWCM13mEEGITjIak9cTM5fWHHX3vBCmOREH6fnEtJz3wZTjbNo/yOk8+kQKpZRkNSevJH5bWjjn94YmRVMb2Oo8QLWbSgmpOeejLSGPSehkY7XUeIYTYCF9D0npm2tK6A4+774tILCXzgUXhmrSgmjP++1UklrJeA3b1Ok++kAKp5WiNSeuemcvr9z/5wS8jSUuKI1H4Js6r5rSHJ0ZiKetVYKTXeYQQYj16fSL97JTFtfuecP8XsliSKAoT5qzmnMcmRWMp6x1giNd58oEUSC0knspcvaw2ccxJD3wZSaSlOBLF44u5azjjv19F4qnMa0B/r/MIIcRasaR1w5yVjWPlwqUoNh/NWMnvnvk2GktZ7wM9vc6T66RAagEpyz63Np6+9Jh7P4/Wy7hmUYQ+m72aq16ZEoklrfFAG6/zCCFEOmOfWpewzjnloS+jUhyJYvTmlGXaP9+cXtaYtD4G2nudJ5dJgdTMbNs5PJaybjzqngkRuQmsKGbPfLVIf+LLBW0aEtYbQMDrPEKIorZnMm3ffvz9n0fkJrCimD0yYb7x8Gfz2jUkrA+BEq/z5CopkJrXqHg68+jx938RXrAm5nUWITx37RvTAt8srN6uMWndB2he5xFCFKXesZT16lmPfRWZvbLR6yxCeO5fbyv/Wz8s7VGfSL+JXMDcICmQmk+3eCrz8pmPfBX+YUmd11mEyAm2A+c8NimysiF5eMqyL/Y6jxCi6FQ2Jq33//H6tJJPZ632OosQOeOPz38fmrywZofGpHWn11lykRRIzSPQkLBev+39mZHPZssBWIh1NSQtTrj/i2ginfkHsJ/XeYQQRcNfn0i/8cxXC9s//sUCOd8RYh0Z2+HcxyZF6hLpY23HOc7rPLlGDhjNoDFp3fb1guped3002+d1FiFy0aLqOKc9PDEcS1nPAAO8ziOEKHhaQ9K6f/LCmkHXvDY16HUYIXJRfdLitIcnRhLpzH3AQK/z5BLNcRyvM+Q123aOWdmQfGDsTR9F6hKyYl1L8L//b/CHAHAiVWR67Irvu5dA07Hbm2T67/PzJ1hJfJOfR4utBjuDNehQnKptMKa9jb58OnangWTMMWBn8E18FGvnk0CTawWt4fAdujrXHDxweSTo2x5Y5XUeIURhSlqZ3y+pSVx1wK0fRxvlRrDeSNYT+OBm0rufhTHtbbRkPQBabA125TZu27tWOo5/4qNgJUH3kR52PITK0Od9jjHvc5yKrlhDjgBw2+0hR/54XiC23hE7dnX+dtDARdGgbyBQ73WeXCBnhVunf8LK3H/awxOlOGopGXe1ofQe55He4zysHY/FN/k50sNOIL3nBWjV89FqFv3sKcbMD3DKOpLe8wKsoUehNawEQF85g/Soi9CXT3c/nzcBe5vhUhy1oucnLdIe/2JBVUPCkomhQoiWcmA8lfnb8fd9LsWRV+wMvm+exdH9AFg7n+S248NPxfGHsQYd8rPNjfkTscs6kd7zAjJdhmDM/MB9fMFXpEdeCPFaSMXQl03FbtNTiqNm9tzXi7Q3pyxt15CwHkcWVAKkQNoaJY1J682/vTpVFmVoQVrtEsik8H96N/6P70RbNRsyFpS0BU3Dad8PfcWMnz1HX65AN/B/eg/G9HexO5jZnRng2KBpkI6jr56H3VHuY9rarntzWuDrBdUDGpLWg15nEUIUnG7xVOaJUx6aGF5Sm/A6S9EyprxCpsduEC77+ePT3iLTcwSEfv64Xd4JzXJvjaJZSbe9BvAFwM782Hbr87/A3naXVnkPxeZPL04JLatLjE5Z9kVeZ8kFUiBtGa0hYT36zg/LOjw9caF8D1uS4SfTexTp3c7CGnIE/klPuQfMLMcXBGu9RjDVCOk46d3Pwu40AN/3rwKQ6TUC35ePkuk9EmPGeDJ9RmFMeRXf5OchIT3KrcVd2e7rSG0sfahtO0d7nUcIUTD0+kT66Ts+nBWavLDG6yxFS5//JQRKcDr0+/kXkvXoK2dib7PzL58UiKCvUPjfux5j5gfY2w4HwOo7Bt/XT2B33h594STsbYZjzPwA3+Tn0OpXtMK7KR5Jy+bUh7+MpjL2tcCuXufxmpzcb4F0xj5/RX1i7OUvfC99vC3MKWmP3X1Ht7eotD2OL4SW+ukeU5qVBH/4508KRLA7unMN7Y4D0WoWuv/vPAhr+MnYZZ3Q0klINkCwhMw2O2PM/rjV3pOAWCrDuY9/HUla9n1AR6/zCCHyX8qyL56/Ojborg9lwSQvGfO/dIudj+9Aq12M7+snIFGHvvg77G47bHBYuzHtHaw+e5Ee80fSu5+F74uHAXDa9sTa+WTsLoPRV8/BibZFS9Ri9d8XY/o7rfzOCt/CNXEueuqbcCxlvQq08zqPl6RA2nzDk5Z9/akPT4wmLdvrLAVPn/8Fvu9fcT+J10ImjWMEoGEVOA7aiunueOR12G16oi+f5j5/1Ryc0p+ff/vUu1j9xqJlUj8dqDPJFn8v4ue+XVTLQ5/ODdUn0jLmWQixtQamM/Y15zz+dTRjy+JTXkrveb77scd5OOVdsHY8zl1wYcUM7A4bGdYeCP94sdMJlqCtNzLEmDGeTN/RkEnhaDqguQs6iGY3ftoKHp0wv7QhYb0EGF7n8YoUSJunbSxlvXbp05PD81fHNr212Gr2tsPd1W0+ug3/xEewdjgaa4ej8H/1GP4P/4NT3hWnahtINeL7/CEAMubeaDWL8X94C8asD7G2O/DH/Wmr5+FEKiFUht3eRF/6A75vX3AXaxCt7ub3ZvhXNaSGZ2znFK+zCCHyVqAhYb149WtTQwvXxL3OIjZCa1iBE2nzs8f8n94NtoXVfz/0BRPx/+92/J8/RHroUT9t1LgGLZ3AKe+CU94ZLVaNf8J9ZHqNaOV3UDxueFsF1PL6wfFU5u9eZ/GKLPO9GeoT6dee/WrR2KtfmyqrbwnRTPp3KuWFc3ZvDAeMAcACr/MIIfJLLGX9e+K86rNPfvDLiNdZhCgU7UqCvH/ZyHhpyD8CmOR1ntYmPUhNt18slRl1/VvTpTgSohlNW1rPHR/OCtYn0k8hxyQhxOYZkc44Z1/69GQpjoRoRisbklz96tRQdunvopvXJycjTRNpTFoPXfbstzLvSIgWcNeHs32Lq+OD0hn7XK+zCCHyRllj0nru0mcmR1Y3przOIkTBefbrRdrMFfXdUpZ9oddZWpsUSE0QT2Wu+XjmytKPZ67yOooQBSljO5z3xKSolXGuB3p7nUcIkfsaEtbdb3y/tHz8NFnuWYiWcukz30YztnMN0N3rLK1JCqRN2852nHOufOkH6b4XogXNXtnIje+oYH0i/QxFvHKOEKJJDm1MWQdf9coPcrsNIVrQ3FWN3P3R7EB9Iv0gRbTirBRIv06vT6Qfu/aNacGVDbKcpBAt7cFP5xqzVzT0TVqZ33mdRQiRs6KxlHX/eY9PisRSGa+zCFHw7vxwlq8mlt4FOMzrLK1FCqRfkbGdMxeuifd+4ssF8n0SohU4Dlzw1DfRjO38FTC9ziOEyD2JdOaKj9TK0Ffzq72OIkRRSGccLnl6cjSWsu4Dyr3O0xrkxH/jOqQs+8ZLn5kclZXQhWg9C9fEueW9mYG6RPo2r7MIIXJOV8fhkmtemyrD3oVoRV/Nr+b175aGG5LWTV5naQ1SIG1EfSJ95+NfzA9MX1bvdRQhis7Dn80zrIy9O7C711mEELmjPpH+z0OfzvUtqU14HUWIonPN61NDGds5FtjV6ywtTQqkDRubtOx9//3ODLnnkRAeSFo2/3h9Wrg+kb6TIpoUKoT4VTtnbGe/2z+Y5fc6iBDFqC5u8ecXvw83JK3HgYL+O5QC6ZdCjUnr4T88910knpbJn0J45cVvFmurG1M9gYO9ziKE8JxWn0jfc+0b08KyMIMQ3nn1u6VMWVzbPp2xz/c6S0uSAmk9Kcu+cOK8NRXvT5f7KgjhJduBv778Q0lD0rqVIryLtxDiZ45cWZ/s/dzXi6RHWQiPXfPa1Gg6Y/8FKNi5gFIg/VzEsu0rrntjesH+wIXIJx/OWMmMZfWVGds53essQgjPhBqT1m1/enFKiS2LJgnhuR+W1PHFnDX+dMY+1+ssLUUKpHWkM/bZn89Z41PLZWEGIXLFX1/9oSRpZa4Dol5nEUK0vpRl/+6reWuiE+as9jqKECLr+remR9MZ+88UaNssBdJPwumMfeWNb6uC/EELka++W1TLJzNXBZNW5jKvswghWl2HjO1ccdUrP0jbLEQOmb6sns9mrfanrMKciyQFUpaVsc/4al61f+rSOq+jCCHW8483pkVsmz8A7bzOIoRoPQ0J67qnJi4w5q2OeR1FCLGeG96eHsnYzp+AEq+zNDcpkFzBVMb+67+k90iInDR/dYznJy0yGpPW373OIoRoNR18hnbsbe/PCnodRAjxSzOWN/C/GSuNlGVf5HWW5iYFEpCxndMmL6gJfL+41usoQoiNuPndGUFN4ySgl9dZhBAtL5nOXPDKt0tY05jyOooQYiNueFtFMrZzOVDmdZbmJAUSBBLpzNX/elsVXPegEIVkdWOK+z+e62tIWH/1OosQosWFbbjwno9mh7wOIoTYuNkrG3h/+go9aWUu9jpLcyr6Asl2nJOmLKkNfbOwxusoQohN+O9n83w+QzsCaOt1FiFEy7Ed56Sv51Vrs1c2eh1FCLEJN76jIrbD74Fyr7M0l2IvkPzxVOYfN7wlvUdC5IPVjSne+H6pk7Qy53mdRQjRYvRYKnPl7R/MlLZZiDwwd1Uj7/6w3EimM7/zOktzKeoCyXac46cvq498Pb/a6yhCiCa656M54YztXAwEvM4ihGgRv1lWmyj/fM4ar3MIIZropndV2IFLgIIYFlvMBZIRS2WuveGt6XKFSog8opbXM21pnQ842ussQojmVxdPX3XreOk9EiKfzFsdY8riWgc4xOsszaGYC6R9ltTES76YK1eohMg3t78/u6Qukb4S0LzOIoRoVjtattP/je+Xep1DCLGZHvp0XmltPH2p1zmaQ9EWSLXx9MUPfjK31OscQojN9+GMFcSSmc7Arl5nEUI0n/pE+sq7P5odsmzH6yhCiM307tTlGJq2PQVwO45iLZA6Bnz6nq9+u8TrHEKILeA48NCnc8P1iXTB3ZxOiCLW3afr+zz5xYJiPTcRIq+lMjbPfLVQj6cy53idZWsV5UEonbFPe+O7pU5jKuN1FCHEFnr260W639APAiq9ziKE2HqxlHXJUxMXaPVJy+soQogt9PgXCwLAGYDf6yxboxgLJC1p2Rc8+vn8glhlQ4hitaYxxUczVtoZ2znR6yxCiK1mAKc8OmF+0OsgQogtN3tlA7NXNujAb7zOsjWKsUAatbohGZ0sN4YVIu89/Om8SCxlXYos1iBEvhuxoi5pzFklN4YVIt89+Onc0tp4+hKvc2yNoiuQ6hLpsx6ZMF+WDxWiAEyYs5rGZKYNsliDEHmtIWGd8sxXC6Ne5xBCbL03vl+K39B2Brp5nWVLFVuBFA4Y+kGvfLtErjYLUSAemTAv0pi0zvA6hxBii/kMQzv81e+WFNs5iRAFKZG2eembJVrSypzpdZYtVWwHowOmLK61VtYnvc4hhGgmb/+wTNc0DkGG2QmRr/ZatCbmLFwT9zqHEKKZPPb5/GDGds7FnV+Yd4qqQKqNpc96auJCufeREAVk9spGauNpP7Cj11mEEJuvPpE+5ZmvFsrQdyEKyNSldSypSQSA0V5n2RLFVCBVhfz6iLenLPM6hxCimb3+3dJgyrIP9TqHEGKzBfyGfshr3y0tpvMRIYrCC5MWRRuT1mFe59gSxXRAOuLjWassub+CEIXnrSnL/Il05livcwghNtvY2SsbrKW1Ca9zCCGa2QdqhW47ziFe59gSRVMg1cRSJ7w4abGskCNEAZq0oBpd0zoBPbzOIoRourpE+rRnvlokQ9+FKEDTltaTsZ0yoI/XWTZXsRRIgUjAt/Nns1d5nUMI0QJsB96bttyxHedAr7MIIZosFDT0/d74fqkssCJEgXpv2grNdpy8u2lssRRIwxdVx5LVsbTXOYQQLeSN75eG6+LpE73OIYRosv2mLauXlWWFKGDvTl0Wrounj/E6x+YqigIpZdnjxk9bEfY6hxCi5Xw8cxXhgDEIqPQ6ixBi0+ri6eOf+1qG1wlRyD6dtZpIwDcUyKuVKouiQIqlrIP/N3Ol3+scQoiWE09nmDi3Ogns53UWIcSmGbo2aoIMfReioDUkLX5YUpsgz5b7LoYCqTQS8PWbOG+N1zmEEC3s1e+WlNbG07KanRC5r7vjEJ29stHrHEKIFvbG90tLGxL5tdx3MRRIe05bWhdPpG2vcwghWtj4acsJ+fS9gYDXWYQQv2qPifPXyMRgIYrA+9NXaJrGAUDeLMhS8AVSLGXt/+605Xk17lEIsWVWNaSYu7oxDezhdRYhxMY1JKyxH89YKfOPhCgCs1c2EktlQsB2XmdpqoIvkKyM85tPZq4q+PcphHB9OnNV2LadXbzOIYTYONtxRn8pQ9+FKBrvTF3my9j5s9x3oRcOHf0+vdP3i2u9ziGEaCWTF9b4axPpUV7nEEJsVNuAT+8wbWm91zmEEK3kg+krgnWJ9CFe52iqQi+QRk+cuyaZsR2vcwghWsn3i2sJGPpQr3MIITZqxHeLahPSNgtRPL5fXEvYbwwkT+YhFXSBVJ9IH/jetOUyxlmIIjJ/TQxd10qBdl5nEUL8UjyVGf2/GStlbrAQRWR5XRLLdnxAZ6+zNEVBF0iapu392ezVXscQQrQixwG1rD4O7Oh1FiHELyWtzLgv560p6PMPIcQvTV9alwTyYoSHrykbmabZBSgHLOCPwG1KqcktmKs5lAYMvWLOygavcwghWtnEuWsi23cp38nQtbe8ziJES8nTtrkkEvD1/HZhjdc5hBCtbNKC6ujQ7pU7GLr2mtdZNqWpV3CeADoA1wLvAje3WKLm029JTTwuQ5yFKD6TF9b46+LpkV7nEKKF5WPbvOvMFfWxpCX3JhSi2Hy/qNZXl0jnxW04mlog2cD/gAql1FPZz3Nd/+nL6qULX4gi9P3iWgI+WahBFLy8a5sztrPLJzNXRb3OIYRofT8sqcNv6IO9ztEUTS0g/MANwP9M09yLPLhLfdLKbDd1Sa0chIUoQgvWxNA1LYp7dV2IQpV3bXNdIj1MLa9v0vB+IURhmbe6kYChVwCVXmfZlKYWSKcCs4HrcVeGOrnFEjWTWDIzbOaKhrxYSlAI0fymLatLIAs1iMKWd22zBgNnr5C5wUIUI9uBOSsbYkDO9yI1tUDqBEwBhgPLgK4tlqiZ+Ayt3yw5CAtRtCbOXRO1MvZOXucQogXlW9usR4O+brNXNnqdQwjhkUkLqkPkwUp2Te3mPif7rwYMBObhjnvOVYGw32g/b7UchIUoVt8uqvHVJ6xRldHA37zOIkQLybe2uWtj0rIaklbODwUUQrSMbxfVBn8zKD2iPOzP6UVlmlQgKaWOXft/0zQDwDMtlqh59FnZkIylM47cJFaIIjVtaT0+QxvgdQ4hWkoets39561qTHsdQgjhnR+W1KLlwfD3LZko6QN6NXeQZtZ/5vIGWeBbiCK2rDZB2G9U4V5dl+OBKHT50DbvMbhzpHzmlbvb9QnLmV+PPnNVXPthSS0T565h6tJ6r/MJIVrYzOUNRIO+rrjTfHJ25c2m3ih2Ke4JhpZ9zn9aMNNWy9jOgB9kBTshilo8ncGyHdtnUAFUe51HiOaWb20zqViV9tkt+NVbelWbXlRW9XSGtB+QOXJnU2PcEB1/mEyy0alPWJmFDeizViX0H5bU8dW8NXy/pBY7Z0+lhBBNlbRskulMOhL0tQFWep1nY5rag7SzUmrh2k9M0zRbKE+zqE+kd5qxvMHwOocQwltrGlPJzhXhTkiBJApTXrXNWPH+LJsCSyfD0slobmH3U1sdKMFX1UOrrOrpq6jq5WzffkDm0B1Njb230wlEsZMxpyGZzixuQJ+1OqlPXVrH1/Or+WZBNXLfWSHyx5pYKhUJ+jqSrwWSaZrbAV2A603T/D3uwUwH/gkMafF0W0jTtIGygp0QYmV90u5cEe4MTPU6ixDNJV/bZjSjJ9XzNv71VAMs+x6Wff/L4skfwajcViuv6ukrr+pJ//b9MwcO6g8j+xkEy7BTMSeWTNlLGmDmmpQxfWk9kxZUM2l+NQmpnoTIKSvrk07XykhH4Huvs2zMpnqQKoFjcG+2eFz2MRu4syVDba1IwOgyd5WsYCdEsVtcEzcGd6vo7HUOIZpZXrbN+MPtqFu8Zc9Nx2DFVPcD0NYtnnwhjMpttNKqnoZZ1ZO+7fpn9h/QD233XjrhSs1Jx51YMmUva7SZtcYypi2tZ/KCaibOX0MsJcWTEK1taW3CGOrepiBn/WqBpJT6GPjYNM0dlFKTWinT1gromuZrSFpe5xBCeGxRdTxEjh+Ehdhcedo2B9F9QRI1zb9nKwErlfuBWzz9eJd4I4BW0V0rqepp9K7qSa92/TLjzP5ou/TQieyoOemEE08m7RUxx5lVbfnUsnomLahh4rw11CfkPEKIlrCkJh4EOnqd49c0dQ5SV9M0rwP8uN3ebZVS27dcrK1SnkhnUkDI6yBCCG8tr0v4GpPWttHglizYKUTOy6e2uS3J+gSOE2nVV82kYPUs94P1iifdh1bRXYtW9TB6VPVk27ZmZkzPATCsh050qOZYCZLJZGZl3GFWdcaYsayByQur+XJuNWtiqVZ9G0IUkmV1CX8sZXWPBHK3bW5qsr8DZwFnAx8AY1os0daraExZctlHCMHyugRJy+4RDXqdRIgWkU9tc3vi1bnVNtsWrJnjfjD+58P2NB2tvCvhqp5G96qedGvb196r+wCHIb10SgdrZFIkk0l7Vdx25lTbulpRr323qJYv5qxhRX3Su/ckRB5YWZ8kmba3ieTwLaObWiAtVUpNME3zbKXUw6ZpntKSobZSeUPCyngdQgjhvRX1STR3MrsQhSif2uZ2NK7Mn/uROTbULHA/5nyI5i6C4dI0KO1MqKqn3rWqJ13a9rH36DTQZrteOqXbadgWqWTCXhPP2HNqHWPGikbtu0W1fDl3NYtrEh6+KSFyw4r6JE6Ot81NLZCSpmnuCfhN09wHaNuCmbZWuYwbFkKA24PkM7T2XucQooXkU9vcnobl+qY3ywOOA3WL3Y95H/+8eAIo7Uiwqqfeqaqn3rFNb2e39gMt+vXWKe+v49ikkwm7Op6x59Y5xswVMe37xTV8MXcN81fHPHpDQrSulfVJfHput81NLZDOAfrhdudfk/3IVRU18bTXGYQQOWBFXZKw36jCnZ+RP1evhWiafGqb21O/tDgGu9Yvcz/mf7Z2ufKfzrWi7QhU9dQ7VPXU27fp7QxvP8CiTx+dg/vqaBrpZNyujWfs+XWOMWNlTJuyuI6J81Yzc4WszCsKx8r6JEGfXuV1jl/T1ALpVKXU37P/Pzw7KfTpFsq0tcprYqncnfUlhGg18XQGy3Zsn0EFcrNYUXjyp222M21oXJnDMw5aSeNK92PhF78snsKVBNr00ttV9dTbVvVixw4DM/Toq/GbYTpGACsZs+sSlr2gHmPmqrj2w5Javpy7hmlL6717P0Jsgdp4GsPQAkAYiHudZ0M2daPY04EzgP6mae6ffVgHAsD/tXC2LVVeE0v7vQ4hhMgN9QkrFfIbbZACSRSIvGybM6koaZl/86vi1bDoK1j0FdmV9n5aNCJUgb+qh96mqqdeVdXLGdJhgHXkcFNn3BAdf4hMMmbXJyx7YQP6zJUJfeqSOr6av4bvl9Riy62eRA6qT1iJykigHbDA6ywbsqmelseA8cAVwD+yj9nAipYMtTUcx6mQAkkIsZZl2w5N7y0XIh/kXduMbUWxpEDaYokaWPINLPnmlz1PwVJ8lT30yqqeekVVT2f7DgMzhw0zNcZspxOIYidjTkMynVnUgD5rVVKfurSOr+dXM3lhNZYUT8Ij6Yzt4F7UyUmbulFs0jTNcqXUb03T9AO/BZLAg62SbgvE05l2dYm0tukthRDFIGM7UiCJgpKPbTOOHSEj9w5qEcl6WPYdLPtubfH0U8+TP4JR1UMrr+rpK6/qyYB2AzIHDekHo/oZhMqwkzGnMZm2lzQ6zFqdMqYtrWfSgjVMml9DUqon0YJyvW3e1BC7S4GjTdPcHbgR2AaYD9wMXNTy8TZf2rLb1iVkkQYhhMu9SJW7B2EhNlc+ts04dhhL7g/U6tIxWP6D+wE/v9eTL4RRua1WVtXTKKvqidmuX2b/gf3RRvTRCVVodjruxBMpe1nMYdaatDFtaT3fLKjmq/lriKWkeBJbJ1sg5eyIr02dNBwJ7Ia7+tNxQB+lVI1pmp+1eLItlHGokmW+hRBrWTl+lUqILZB3bTOOHZICKcdYCVg53f3ALZ5+HH5jBDAqt9FKqnoavat60qtdv8w4sz/aLtvqRHfUnFTciSdT9vKYw6w1lqGW1/PNghomzluDnIOJpsj1i5ebClavlMqYprkDMEcpVZN9PJeHsJXGU3KfWCGEK3sQztmrVEJsgXxsm8NkpEDKG5kUrJrpfrBe8aT70Cq6a9GqnkbPqp70aGdmxvYcAMN66ESHao6VIJFMZlbFHGdWdcanljcweUE1X85bQ3VMRvgIl5XJ7YuXmwrmmKbZFzgFeAXANM0+QC5fHkjrWi63EeLXlId9VEUCVET8lEcClIV8lIX8lIf9lIR8RIM+ogEf0aBBJOAj4teI+slEDJygDwIGBHRN8xmalvIZWtpx5N43RS7g08qAMq9zCNGM8rFtDsocpAJhW7BmjvvBesP2dAOtrCuRqp5G96qedGtn2nttM8BhaE+dksGak0lRb2ec7OI5oogFfJQBJV7n2JhNFUhXAo8Cy4ArTNMcibt6zpEtHWwrJAM+KZCam65DRShARdRPRThAedhPecRHedhPadBPSdAtXkpCBtGAj3DAIOLXnKgPO+xznJBPI2CAX9c0n65phq6h64am6bqm6QboPvfDttwrV1YSrKSDlXBIx3FS9Y6WjjmkGiHVoBGvh5oGXUvVa6TjBum4O9Y6HYd0I1hJnMPvs2c1Ltb+/dVN8gtRxP65xz9jpYESucuiKCT52DZb6Dl7sVg0FzsDNfPdjzkfoLnLz7s0HW2Hk0nv/Wcu+uAi/Vf2IorAv0b+K6fb5k2tYvclMHzt56ZpTgB6KqVyto9Ug5TfKK6/O58OFZEAFWE/lVG3eCkL+ykL+SkN+SgJ+igN+X4qXLLFS4kfO2xA0IcT0MFvaJqha5qh6+i6voHiJQ1WKlvAJBzScYd03HHStWipmEOqwS1eGuthTYOupRt+Kl5Sjfy8iMkWMus/5vxs4qeW/diicSPhe0fr/c/7wtmu7Xb2E9OfKK5fCvGjRCaRxl0CWYiCkI9tM5DACHqdQXjJsWHpdwQMv/bdqu+8TiM8lrbTaXK413tTq9g9iTsJdP3HUUod12KptoKmkcylAslvaFSE/bSJBimL+KjIFi5l4WzxEvJREnB7X9zixUfUz9qeF4KG5gQM8GWHjenausWLDwwfaAZk0msLF7fnJR13sOKOk6pBSzVmi5dGaKjXSdVrWiqmkW5cr+clBqkYv3gsHQcrDj8frbZVxUurqFtM+ImjtYtPeE6bWzuXCUsneJ1IeEDXdACZmCgKRj62zaDF8eXsLU9Ea6mZR8Qf8TqFyAGGZmjka4EE3N0qKZpX0mc07ZQ96NOpigQoj/qpCPspD/kpj2SLl6Dvx2FjkaCPaLbnJerDjvgdJ2RoTsgHfh3Nr2sYhtvzoumGpuu6xtqeF013ixcrBZmkQzoBVtwhFcNJ1ztautEhme15qW/QSNbpbvESW6d42UjRsrZX5pc338v94qW1zP+U8LtXcfOYmzj29eOYWzfX60SilfncYT05exAWYgvkX9us6dKDJCC2GtAIGSESGblxcDEzdANyuG3e1BC7jwBM06wC9sFdCUoDOgMftXi6LRA0tOifxnS3L9+ri+030Hy6RnbYmKbrBpquaz8OGdO0bK9LKjvfJY6TTrhzXdI1bgGSanRI1mvU1mskG3QtHdN/6mlZd7hYbL1iJvvYz5c11db9t+iLl9by5b2EOw527h93H4e+cphWl6rzOpFoRRFfxADkhy4KRj62zWhaHJ8USALSmRTlwXISMSmQilm+9yCt9SIwDdgeSACxFku0lcK6tSq8+EOdaa9uoJBZb/5L5mfDtdcWLVK3FCD9lfO0ijM/yNy1953ayW+doltOzv5NimYW9oelQBKFKm/aZnQjjiFD7ARYmZRTHizXlseWex1FeChbIOXs8PemTtbRlFJnAwoYC1S1XKSt5AvNZ6WCKc+DehPmfgSLJsLyKe6SlPVLIVGzfnEkikDggbFGn3B7rtrtqpz9gxTNL2SEAkiBJApT/rTNui8mPUgCwMmk7IpghdcxhMci/ogfqPY6x8Y0tUCyTNMMAVHciaG5u1anptURKpfqR/ySbRG+dy99XLfR+gn9T5BVzYqAX/ejaZqGe3VdiEKTP22zL7SaULlcnBJoVsIpD5Z7HUN4KKAHCOgBHwVQIN0BXAy8AywEcnmmez2hCimQxIbVLyXy+JHaRUMv1HfvvLvXaUQLi/qjWBkrwQZW/BKiAORT27yC0s7JTW8mCp0vFdOkB6m4tQ23JZFJ1JDDbXNTrzbNV0o9D2Ca5rPA0JaLtNVqiVTJVSqxcQs+J/TOn/j3uH9z7OvHMrc2l88pxNYo8ZdgOVYsiAztEQUpn9rmlZR2kMmfgkCyTpcepOLWNtyWtJ1e5XWOX7Op+yDtAQwALjFN86bswzpwPrBdC2fbUkso6yLDp8Svm/gA4Q6DnAfG3c+hrxym1SZrvU4kWkBZoIyMnan3OocQzSlP2+aVlLTP2avFovUYsWqtKlRl0/RRTKLAtA23xXGcZV7n+DWb+uWsBjoCQaBT9qMd8IcWzrU1FlHaMXfHYYucob92kVa+Zr5999532dl75YgC0z7anoyTWex1DiGaWT62zSsJtzG8DiFyQOMq2oXbyoXsItYm3Aaf7lvgdY5fs6n7IE0Bppimea9SamkrZdpaSwhXhtF0cOTvT/y6wIP7Gr0u/i5z9W5XZ6745AppvAtMh0gHfLpvjtc5hGhOedo2ryBULut8C2hYTlXH3l6nEB5qF2nnRHyRnJ7f8Ks9SKZpPpf97yTTNJdkP5aaprmkFbJtqSRWsoFoO69ziHzgrmxn7N11T/3kASdLRV1gOkY7Zkr8JTO9ziFEc8rTtrkOw2fIvZAEdUuoCFbK8Loi1inaKWHoRk5f3NlUD9IR2f8er5R6vxXyNI9McgXlXcpokJuQiSZoWE7k0SO0805+WZtTO4ePF3/sdSLRTLqVdotrmrbI6xxCNKc8bZsd0okayrq0oTqnLxyLlla3iPJgmeZ1DOGdDpEOaSCv5yCt9deWDNHsHHshZV28TiHyyaIvCb/5R24c+S96VfTyOo1oJl1KumQAKZBEofqr1wE2SyY5j6oeXqcQXqtZQNRfIgVSEWsfae+Q4wVSU2emO6Zpvoh7t24bQCl1RYul2lpGYA5lnffyOobIM5MeIdRxsHP/2Ps57JXDtOpkzt6/TDRRh0gHHSmQROHKr7ZZ90+lsseOXscQHlszl7A/7HUK4aGqUJWPAimQHmzRFM0tWDqL8m4WuXxXcZGT9Dd+p5V13D5z99i7tRPeOEFP23LP4XyloVERqggjBZIoXPnVNofKvqdt7zTg9zqK8FA6hm1nKPGX0JBu8DqN8EBpoDREjhdITR1i9zgwA/cu3fOAVEsFaiYLaNM77nUIkZ8CD+1r9PCXcc3u18gNh/NYl5IupDPpOkBaYFGo8q1tnk27/tI2C9KZFHKz2OLUMdqRtJ1uBBJeZ/k1Te1heRH3ik8XwACWAE+2VKhm8AMdc/VeeSLnOTbhe0bpe13wtXPadqfaD055SFbbyUM9K3qSyqRUxB/xOooQLSXf2uZZtJHlnQVkMim7PFiuL26Q29QVm/5V/UlaySlhX24Ps2zqiV9bpdS+wBfAjkCo5SI1i2mUdAzjC3qdQ+SrxpVEHjlUO3vQ2frIriO9TiO2QO+K3k7IF/ra6xxCtKB8a5tnU9oxgibz84udk0k50oNUnPpV9bMj/sgnXufYlKYWSLHsv1GlVD50j6dINS6mXX+vc4h8tuRrwq9fxg173kDfyr5epxGbqV9Vv1jIF5rsdQ4hWlC+tc2NZFL1lHf3OofwmJ5OOBXBCq9jCA8MaT+kIWAEcv7iZVMLpBdM07wS+NY0zQnk+LhBlzOJDgO9DiHy3eTHCX/9qHPf2HupClV5nUZsBrPKtICpXucQogXlX9tsJb+n0yCvUwiP+VKNSIFUnPpX9TeAb7zOsSm/OgfJNM11V8gxcJcRXQLk/tJeofIJdBryGyY/LrftFltFe+sPWmmn7ex7xtzNcW8cLyvb5QENja4lXSPANK+zCNHc8rptDpZ+ROcddmfaq4bXUYR3AolaX3mg3AFkvGURKQ+WE/VHfcBsr7NsyqYWaRgGRIDHgM/Ip19kTf+WrjvGASmQxFbzP3yAvs3F39nXjrg28/v//V4a9hzXpaQLlm3VB4xAjddZhGgB+ds2G/6v6L5LAyATUIqYHltDm3AbG7fAF0WiX2U/YlZsRsAI2F5n2ZRfHWKnlBoEHII78fNyYFdgtlLq7ZaPttW+o12/XJ+wKvKFYxO+Z6S+Z6dd9DO2PyPn/7CL3aB2g0jZqZwf4yzElsjztnkSHbeXFZSKXeNK2obbep1CtDKzyiSgByZ4naMpNjkHSSk1RSl1uVJqNPA+cJ1pmp+3fLSttgxNS1HayescolDEVhN55BDtt9ufqY/uNtrrNOJX7NBhh2R5oPwdr3MI0VLyuG1ejG6kpW0ucg3LaCPzeovO4HaDGyP+yBde52iKJi3SYJpmqWmaJwNXAB1xu/VzXzrxA52HeJ1CFJIl3xB+7VL+ucd1mJWm12nERuzUcaeEpml5cZVKiC2Vp22zQzo+RdrmIle3hIpgRf4MDRXNYru229nkwQINsOlFGo4CjgG2AZ4HzlZKzWuFXM0jWPYmPUbtgHpT5iGJ5vPtk4Q6bu/cO/Ze7bBXDmN1YrXXicQ6gkaQbiXdIsAkr7MI0RLyvm0OlHxE1512Rr0p80+KVe1CSgOlUiAVkZARon2kfRj4wessTbGpHqSngH7ADGB74FrTNJ8wTfOJFk/WHAzfePqMzf1lT0Xe0d6+Qitd9oN979h77IDuff1tL7ZJP+YuYOWsdEg/kib9SBrrVQvHdn62rWM5WC9ZpB9Ok34yjbPG/Xpmcob0w2mst6wft7VesnCSP39+rhvYZiAxKzYHyIf7wgixJfK7bfYF36fPuEavYwgPVc8n6i+RAqmI9K7sTSwdWwikvM7SFJtaxW6vVknRciZS3i1IuBLi1V5nEQXG/8iBeveLvs1ct8d1md999DvProRmJmSwp9jgdz+3PrIwRhno3XW3QJrpoJk/tUP2ZBsC4D/Fj7PawXrbwn+sH/t7G9/JPqznLJy4g7PYQeumoQXzqw0b3G6w49f9H3idQ4gWlO9t86e0NUP4I5CObXprUXhqFhD0BdE1HduRdY+KwbAOwxxDNz70OkdT/WqBpJT6qLWCtJAUqYZv2Gb3XZj+mtdZRKFxHEJ3jzRGXDzZPmvQWZl7vrvHkyJJq9TwHe7DesXt+fEd5kPTNZyMg9PowHrrRTmrHPRebuex1kbDWZ3tIfIDGdw7qmiQ+TaD79BNXUPJPbt13q0+4o986HUOIVpKAbTNMVIN0+m+6yBmj/c6i/CCbZHOpCkNlFKbrPU6jWgF47YZVx/1R1/0OkdTNWmRhrwWKn+FXnslvY4hClSimsjDB+qnb3easXf3vT2JoPfTf/aXrOkaTq1D+t40xEBr//MeIK2Dhj3LxnEc7MU21INjOxi7G2ReyaCbOvYPNsZgA3uCjfWm9VMRleN8uo+h7YeGADnrEiKXBUteoedIa9MbikJl2SmnIljhdQzRCqL+KGaVGcJdcTMvFH6BpBvj6T02L8Y7ijy17DvCr1zEdSOupX9Vf6/TAKCVawTOCaDvoJMZn/nZ1/TBOgTAetTCVjZaRw1N19C76fgO86H303EWOmiVGk6DgzHSIPNJZiOvlFuGtBtCIpOYC6zyOosQ4lcYgfH03UfG1xWxTCbllAfkfsHFYJdOuxC34pOAvJl7WPgFEkyitKOfSBuvc4hC9v0zhL6837ln7D2e3/wu/exPCy8QANabQuQscdC31fGf5Efvr6Ott9JqZkIGfVcdJ+38+FwnlR89SHt23TMd9oWf9zqHEGKTPqeqZ4hgmdc5hEc0K+mUB6VAKgaju4+OlwZKn/Q6x+YohgLJItX4Jdvu4XUOUeC0d6/UShZPztw39j47aHh3o3hjVwPrNYv0Y2ns722MUe7UKOsVC6fWQavSyEzMkP5vmsxHGYwxP02dcmocSIDeQUfroOHUOVjPWBjD8mM13r277x0PGIHXvc4hhNikBMmGb9l2hNc5hEf0dFyG2BWJUV1HoWv6G17n2BzFUCBBuOIF+u0vS/6KFud/9BCjKz7n+j2ub9UxaVqFhv8Udxk7vavbO+Q/wY//aD9adiVV30E+tHINLaLhP86P/2Q//mP8aOvcikKr0PDt5y7MoGka/iP8+E/xo/fI/UNFu3A7OkQ7+IAvvc4ihGiCcMUT9D9I2uYi5U82aNKDVPjMShNd02uAWV5n2Ry5f9bTHDT9BfodoKPn34pcIv+E7hlp7NphB+3cwefmx8SdArFb591IWIn/ATLxW4h8oOmv0G9/0PLrVgKiefjjtbr0IBW+Pbvuaeua/pLXOTZXcRRIsJBMajY99vQ6hygGiRoiDx2gnzLwZGPcNuPyY/JOARi37bjG8mD5s17nEEI02RxgBV2GeZ1DeECLr9bahdvKhcQCN27bcQ0Rf+Qlr3NsrmIpkCBY+hDbHyld+aJ1LJ9C+KXz+fvuf9cGtBngdZqCF/FFGN5puA94yessQojN4As9wYBD0l7HEB5oWEGbcFu5iFjAygJl9CzvGQT+53WWzVU8BZLue47+B2ro+THZXBSAH54n/Pnd3DPmbtpH2nudpqDt1W0vElbiS2CN11mEEJvBF3yGQUfKrTiKUf1yqkKVMr6ygO3WeTdiVmwCkPA6y+YqngIJ5mFn5rONrJgjWtH4v1KyaJJ939h77ZAR8jpNwTq498EN5cHy+73OIYTYbN/ijzTQcZDXOURrq1tMebBcCqQCNnabsY0VwYpnvM6xJYqpQIJgyUNsf0TeVbEiv/keO0zvbGvOv0b+K6Otf1MisdVK/aXs2GFHP/Cy11mEEJvNQfc9zqAjZZhdsalZQGmgtLjOQ4tIib+EPbvu6QOe8zrLliiuX0zd9xwDDnHQiuttC++F7hlp7Nx2kHbe0PNsr7MUmtHdR5OwEp8AtV5nEUJsAX/4AYaeZMkQ+CJTM5+oP+p1CtFC9u+5v5OyU+OBlV5n2RLFVinMBmex3JhOtLpkHZEH99NP6n+Cvu+2+8qk1GZ0SO9D6suCZQ94nUMIscWmAvPouZfXOURrqluMT/fhk1uwFKQT+5/YUBYou8XrHFuq2AokCJTczk5nxryOIYrQyumEXzyXq3e7Wtuu7XZepykI7SPt2b7t9j7gVa+zCCG2QqjsNoad3uh1DNG6UpkU5QG5WWyh6V/Vn/aR9gngPa+zbKniK5B04xH6jNWJtvU6iShGU18iPOF27h5zNx0iHbxOk/cO73O4ZTnWU0CD11mEEFtB05+i12iDcKXXSUQrsjIppzwoBVKhOdo8OuHTfXcCeTutoPgKJKgmk36JoSfKzcmEN97/O9EFn9v3jbvPCfvCXqfJW7qmc2y/Y1NRf/RWr7MIIbZaNZnkO2x/pAxBLiJ2JuVUBCu8jiGaUdgXZv+e+xMwAnm9smwxFkgQKruJXc5JoMmKYsIbvseP0jtZGfvGkTfasrLdlhnRZQSGbswHJnudRQjRDELld7DzmdIbXEQ0KykFUoEZt8040pn0F8Air7NsjeIskOArfKEl9BrtdQ5RxEL3jDSGVQ3koh0uytsuaC+d0P+EhrJA2Y1e5xBCNJvxlHVO0HkHr3NstbQNv59QznHvVXHE21WMXxRkWrWPo96p4th3q/i/z8uwN9JXtjqhM/Lldsyuc1f1+9+SAEe8XcWFn1T8+JyrvyplUUP+r/pnpGJOWbDM6xi/ysk4WK9YpB9Jk34ojT3DxlnpuJ8/ksZ61cJZ74fpZByslyzS/3W3cVa5X7dn26QfSpN+Po3juI9Zb1s4NYXTcXrCgBPqy4JlN3udY2sVa4HkECq/gV3OlytVwjupBiIP7qsf1+8Ybf8e+xfO0bEVdIh0YGj7oTrwtNdZhBDNJoMR/BcjLs77hZRemRemImDzxJg13D+qmmu+LuP2KSWct10DT45dQ8rW+HBJ8BfPS9vwl4llhIyfmoQnZkV4cK9q2oczTK/2Mb3aR4nfoWtJ/s8U8Ccb9FzvQbKn2BAG/0l+fMf4sN6xsD6yMEYZ+E/yA+DMXK9Amu2ADf6T/Rh7GFgfWQBkJmXwHetDK9VwljvYK2wIglZRGCNJelX0YpuybTLA615n2VrFWiABPMk2u+mUdfE6hyhmq2YQfv632l93+6s2qK3cSb6pjjKPsjJO5glAVr0SopAY/nvpM07L97Z5324JLhrkXoN1AENz6F+Zpiap4zjQaGn4tF9eF7v+m1KO6R2jffingQVRn0Mio5HMaIR9DvdNi3Jm/8I49PnjNXplsDKnLxDq/XWMPbO9dQ6gg+8wH3p3HSfj4DQ6sF6tq1VpOLbj9hIlQdPdAkjza2ABlvt/+zMbY5f87wlc66i+RyU1tPtw32VeK+YCqRHbepxhp+b9D1HkuemvEf7kFu4ccycdox29TpPzQkaI4/odl476ozK8TojCU4tjP8wu56S8DrI1on6HEr9DQ1rjwk8quHhQA9uWZPjHpDL2e70tqxM6wzv8/C2+MCdMVdBmj04/f/zcgQ1cN6mULtEMCxoMdmib5rX5If4ysYxvVvlb8201v9gq2oXb5vQwcy2goQU1nKSD9YKFMdJA0zWcWof0vWmIgdZ+vR6gAFAL6XvSWG9Y6Du5p9vGCIPMuxm0cg2n2kHrqmFPtbHetLAX5fS3YZMCeoCDex/shHyhe7zO0hyKuUCCYMnN7HxWGn/E6ySi2H14HdF5n9r3j71fVrbbhIN7H+zY2J8CyussQogWEIjeyLBTbQJRr5NslaWNOie9X8XB2yY4cNsE/5hUyuNj1vDWAas4ZNsE//ym9GfbPz8nzGfLgpw4vopp1T7+OKGclXGdXuUZbt69ljP7N/Lc7AgHbBvnk2VB/rJjHXdOKfHo3TWThhW0CbfxOsUmOXUO1uMW+vY6xkC3x0cr1wicE0DfQScz/ufDHTNfZtB6agTODuA/w+/OU7IctLYavkN96LvqZL7NoA/UsefYGPsYZD7N7yGTh/Y51LEd+wtgttdZmkNxF0gwDZwP2On0/C7bRUHwPXms3jGdtG8edbOsbLcRuqbz20G/jZUFyv7qdRYhRIuZg535iCHH5/TQq1+zKq5z2odV/H5wPUf0igNQHnAo8bmnG+3DGepSPz8Fe3zMGh4bs4ZH915D/0qL63etpd06Q+2enh3m0J7uvmwHNCBu5XlbUb+UymBu3/vKaXBIP5nG2MvAGOwWR+ln0zhrsr+eAVi/ydZCbq8TACHcuwGtc6Zpf2NjDFpn2B5AHveZBvQA5w89P14aKP2D11maS7EXSBAqv4I9Lkvil6v2wnvBe0YaQytNLtnxEinaN2DcNuMI+8KzgU+9ziKEaEGh8r+zx6UxtPw8Tbl7apS6lMadP5Rw4vgqThxfxd93ruWSzyo44b0qnpgZ4ZLsHKU/TChnSeOvv8+GtMaXKwKM7pKkPODQLmRz7HtVHNErz9ezqF1EebA8p3/Imc8ykIDMpxnSj6VJP5bG2MXAes0i/Vga+3sbY5Rb7FivWDi1DvrOOs4yd6U76wl3QQct4BZMTtLBWeCg99HRwhpaVMN6xEIfktPfhl91RN8jbEMzvgC+9DpLc9HWLjNY1BK17/DBdXvzxV35+9spCkeb3sTP+p9zzZf/4NXZr+b55cHm9fqhrzd0L+t+NPCG11mEEC1KI1E7iTd+P4TvZLHKgtV5R+pOfpHdnxrhdRKxhYJGkPFHjo+VB8v3BL72Ok9zkYIAIFR+OSP/kMD3yyU3hWh1q2cRfv507crhV2qD2w32Ok3OGNl1JJWhyqXAm5v7XNM0R5mm6Zimecx6j39nmubDW7C/y03T3LmJ2/7TNM1TNvc1hChyDqHySxj7t0Z0n9dZREupnktE5oHntSP7Hmnrmj6BAiqOQAqktSahG18y9ETpThO5Qb1J+ON/c+fed9Ip2snrNJ7T0PjdsN81lAZK/4+fRmxvrunAjwWSaZrbA1s0C1wp9U+lVMEMJRAiR32IPzKFwcdK21yo4msAjZAR8jqJ2AJBI8g5g89JlgZKf+91luYml2XWCpVfzqj/e59Jj0TI5PFMOVE4/vcvIp2G2A+Mu1874tUjtZiV52PNt8K+PfalXbjdQuCFrdjNt4Bpmma5UqoWOAF4HOhumub5wGG4BdMq4FDgOOA03AtJVwEP4hZZU4FK4ClgPHA30Ce73Z+VUh+apnk48GdgJe4U3ulbkVuI4hUqv5S9r3qX756KkEl7nUa0gHQmRXmwnEQs4XUUsZmONo+2NU37H/CN11mam/Qg/eQLDP8khhwnV6pEzvA9fbzeLhmzb9nrloyep5OVt5ZP9/H7Yb+PlQRKzmPLe4/Weh44zDRNDdgZ+Az3ONgGGKOUGo574Win7PbVSqkRSqnxQDfgOKXUJevs7wxglVJqT+Bg4A7TNP3ATcAYYB+geCtbIbbeZ/gCXzP0JGmbC5SVSTnlwXKvY4jNFPaFOWvwWclCWrluXcV5xrUxofI/sPdf4nJfJJFLQvfuZQyu6K39bsff5fdNErbQkX2PtEO+0CTgg2bY3RO4w+z2BD7OPmbjLrD6pGmaDwBdgbV3X1z3XkurlFKr19vf9sD+pml+iFt8+YBOwBql1GqllINbhAkhtlSo/DJG/zmOT4ZhFSInk7IrghVexxCb6Wjz6IyG9gHwnddZWoIUSD83Ad3/Lnv8TvrxRe5IxwjfN0Y/ss9h+iG9Dymqq6hhX5jzh56fLA2UXtgc+1NKzcEdRnch8Fj24TLgEKXU0cAFuMfFtasHrrvc+oaWXp8OPKmUGgXsBzwLLAMqTNNsl91mpw08TwjRdF+iG5+yyzlFeZGo0GnphPQg5ZmwL8xvB/02VRoo/aPXWVqKFEjrC5VdwK7nWlR09zqJED+pnkv42VO0K3a+Qtuh/Q5ep2k1pww8xdLQ3qJ5xzc/DXRTSs3Ifm4BjaZpfgq8CywFOjdxX/cA/UzT/Ai3p2i+UioFnA+8bZrme7hzkIQQWyNUfi57/j5FSQevk4hm5ks3atKDlF+O7398BncO7hSvs7QUuQ/ShqQTf2POh5fx5NEy1k7klhGXUr/npRz56pEsbljsdZoW1S7cjtcOfS0e8Ue2A+Z4nUcI4bFU402oN8/m+dPlzu4FJHPGu87tKyZo939/v9dRRBN0jHbklYNfiYf94cHATK/ztBTpQdoQf+if9BjRwLZ7eJ1EiJ/75CYiM8fb94+734n6t2iF6rzxp+F/imuadjtSHAkhAALRqzD3S9B1mNdJRDMyYmu0qlDVhoYwixx09W5XN+qafgMFXByBFEgbEydQci4H3dqIbnidRYifMZ49WW8Xq7Nv3esWu1BXttul0y7s2nnX+rAv/FevswghckY9/vBFHHhbA5q26a1FfmhcRbtwWymQ8sCY7mMY1G7QqqAveK3XWVpaYZ5dNY8XiLSdyo6nyh8tkLHh/z4v45h3qzj23Spm1PiYusbHHi+148TxVZw4voo35m94haHZdQY7PteeZHZ67bOzwxz1ThV/nVj24za/+6ychrQ0eE0VvG8vY7uynvxhpz8U3KRlv+7nmt2vaYz4I2cgS2QLIdal6Y9T3nUug+WWHAWjYQVVoSqvU4hNKPGXcNVuV8Wi/ugJuCu/FjQpkDbOIVR2BmP+miRc6XUWz32wJAjAU2PXcPGgBm7+roQfqv2cajby6N5reHTvNey/zS9v8taQ1rj+m1IC+k9t2ctzwzw1dg3L4zq1KY0PFwfZsV2KEr+0d01mJYjcP0Y/rNfB+uF9Di+ob9xp251mRf3RCcCrXmcRQuQcm1DZaex7XULa5gJRt5jKYKWcj+a4S4ddmvDr/ueBT7zO0hrkF/LXfQfao+x3Q9zrIF4b0zXJNTvXAbCkUafM7zBljZ8PlwQ5/r0qrvii7Bc9QI4DV35ZxqWDGgj7fno85HNI25Bx3F/A5+eEOapX0X+LN1/1PMJPn6RdvvMftWEdCmNMfpeSLpy+/emp0kDpmV5nEULkrK/QjP/ym5uk4SgEdYspC5bJEJIcNrjdYA7oeUAi6o9e5HWW1iIF0qYES35Hv/3r6DPW6ySe8+nwxwnlXPN1GQduG2dQmzR/GFrP42PW0K0kwx1TSn62/e1TShjZOUm/Sutnj589sIE/TChnbNckr8wPcXjPOPdPi3LVxDLm1Mmcr80yezyhD67jttG30rW0q9dpttrVu10d0zX9n8A8r7MIIXJYsOQy+oyroe8+XicRW6t6PlF/iRRIOcqn+bhuxHWNYV/4HKDa6zytRQqkTWsgUHIch94TI1i26a0L3PW71vL2Aau48styRnRMsl2VW/yM7ZpgarXvZ9u+Mi/E83MinDi+ipVxndM+cMcYD2uX5pYRtezbLcHXKwJ0L7VYEde5aFD9L4os0QSf3kJYve08MO5+p8Sfv9+/I/oeYQ9sO3Bh0Aj+0+ssQoic10iw5DgOuTtOSG4ymteq5xH2y8rtuerkgSdblaHKr3HvIVg0pEBqmvcxgs+w/79+OcmmSLw0N8Q9P7jLSod9DprmcP4nFXy32g/AhOVBBlamf/acdw9c9eP8pHZhmwf3WvOzr987NcpvBzSSsDR0DTQgZslFpC1hPH+61qZhjX3b6NtsQ8u/XriuJV35/bDfJ6L+6GFAepNPEEII+BAj8Dj7/UuG2uWzdAzbzlDot67IR11LunLW4LNSJYGSU4CCmu+8KVIgNVWw5EL6H1hL3329TuKJcd2STK32cfx7VZz+QSVX7FDPX4fVce2kUk4cX8WklX7O3a4RgNM+qCS1ibXVFjUY1KV1+lVa9Ku0WBoz+O1HlZzQRxYt21LB+0YbA0u7c/nOl+fVyna6pnPjyBsbfbrvKmCq13mEEHkkWHIJ/Q+op/cYr5OIrZDOpKgIVngdQ6znmt2vaTQ04+/AXK+ztDbNcYqqINxae5CoeZvbdgzTuMrrLEL8Unl34udNcG78+maemfFMXnTHnbbdadaZ2585uSRQMhyQZfWFEJtrbxpXvcLtwyLEi2aKREGp/+Nc+4zx5+hTV8s1slxxfP/jMxcMvWBW1B/dniIc2SE9SJvnY/TAXRxyj3RziNxUu4Dwk8drl+10mbZzx529TrNJvSt6c/bgs5MlgZIjkeJICLFlxuMPP8Th90vbnKecTMopD8pcslwxqO0gLtrhonjUH92fIiyOQAqkzReIXEH34UvY8RQ5mRO5ae6HhN+7hlv2uoXupd29TrNRISPELXvd0hjQAxchq9YJIbZGIHop3YbPY5dz82qIsXDp6YQjQ+xyQ0Wwgtv2vi0W9oWPB+Z4nccrUiBtviTB0gPY57o4nXfwOosQG/b5HYSnv+7cP+5+p9Rf6nWaDfrbbn+LV4Wq3jJ040Gvswgh8l6KYOkBjL5S2uY85Es1alIgeU/XdG4edXNjyAjdA7zidR4vSYG0ZRSByIkc/0yMSBuvswixQcYLv9Xa1K+wb9/79pxb2e6IvkfYI7uNXFYSKDmZIlsZRwjRYuYSiJzMsU/GZOnv/BJI1BrlgXJpCzx29uCz0/2q+k2L+CN/8DqL16RA2nIv4o/exTFPNKLn1smnEGsF7h9j9I924U/D/5Qzw04GVA3gDzv9IR71R/cDGr3OI4QoKC8QKHmcQ2WucD7RY6tpE24jUxc8tFvn3Thl4CkNJYGSAwHL6zxekwJpawQif6TDwG8Z87eU11GE2KBMivC9e+m/2XZf/RjzGM+vzpUFyrh979tjYV/4FEB5nUcIUYCCJRey7YiF7Hp+zlwYEpvQuIq24bZepyhaHSIduHHkjfGwL3wosMzrPLlACqStkyFYejDDTqul/0Gen3wKsUF1i4k8eax26Y6Xart02sWzGBoaN468MRb1Rx8GnvMsiBCi0CUIlu7DXn+qp89Yr7OIpqhfRptQldcpipJP93HH3nc0BozANcBHXufJFVIgbb1VBKL7cchdcdr29TqLEBs272PC7/2V/+z1H7Yt29aTCJftdFlq+7bbT434Ixd7EkAIUUzmE4jszxEPx2jXz+ssYlPqllARrMiLe/cVmst3ujzZpaTLZ0Ej+E+vs+QSKZCax9f4ghdwwgsyMVTkri/uJjzlZef+cfc5ZYGyVn3po8yj7CP6HLGiJFCyD0V6TwUhRKubgD90Nie9LAsq5bq6hZQGSqVAamX79djPObDXgdUlgZKjkAWTfkYKpOZi+B8kXPkwJ77YiC/kdRohNkh/+Rytsnapfcfed9g+zdcqr7l75925bNhlDRF/ZC9gTau8qBBCAOi+RwmW3cnxz8UwAl6nERuzZh7RQIkUSK1oWIdh/G23v8Ui/si+QI3XeXKNFEjNKVhyAW37vsvRj8bQ5FsrclPg/jGGGe7Albte2eITmPtW9uXfo/4dC/vC+wOzWvr1hBDiFwKRP9K2z8ccfHvC6yhiI2oXEjSC6HLu1Cr6Vvbl9r1vj4d94YOAb73Ok4vkN7F52QRLj6b7Lt9w0K1yIBa5ybYI37uXvl/3sfpx/Y5rsWVV24Xbcd/Y+2JhX/h04NOWeh0hhNgEm2DpEZj7z2Xvv8gQ31xkW6QzaUoDuXlj80LSKdqJ+8fdHwv7wqcC73udJ1dJgdT8UgTL9mPAIXMZ/Wc5EIvcVL+U8BNHa5fscLG+a+ddm333ZYEyHtznwcaIP3K9rulPNfsLCCHE5mkgWDqS4WctZ/g5svx3DrIySaciWOF1jIJWHizn4X0fjkX8kT/rmv6013lymRRILaOeYOkodjlnBTudKQdikZvmf0ronSu5edTN9Cjv0Wy7jfqjPLTvQ43tI+0fCvlC1zTbjoUQYuusJFAygr2vrGHQ0TIhPcdk7LRTHpCFrlpKxBfhwXEPNlYEK+4JGsGbvc6T66RAajkrCJTswdi/1THgYDkQi9w08T7C37/g3D/ufqc8uPUNU9gX5v5x9zd2Len6TMQfuRBZFUcIkVvmE4juyQH/qaPfAXJ8yiGalWyWdkj8UsgI8cA+DzR2Le36bMQf+Z3XefKBFEgtay6B6F4ccnej3KxO5Cr9lfO1ijUL7Tv3vtP26Vu+sl1AD3DXmLtiPcp7vBbxR85AiiMhRG6aSiAymsPua6T33l5nEVl6Oi5D7FpAQA9w99i7Yz3Ke7wR8UdOR9rmJpECqeV9SyAyhiMfqaf/QfJLKXJS4MFxRp9QW+evu/51i4aE+nQft+99e8ysMt+L+qPHAy22+IMQQjSDSQQi+3DUo1Ik5Qh/skGTHqTm5dN83Dr61phZZb4f9UePQ9rmJpMCqXV8QSAykkPvqWP7o6RIErnHtgjfM8oY220v/cT+J27WAdSv+7llr1vi27fd/tMSf8kRgMy7E0Lkg88IRMdy1GMN9DvA6yxFzx+v0aUHqfn4NB//HvXv+OB2gyeU+EsOByyvM+UTKZBazzcEIrtz4C017HCyVPAi9zQsJ/L4kdqFQy/QR3QZ0aSnZOccxXbssOMHJYGSAwFZuVEIkU8mEIiM5LD7atn+SLmA6SEtvlprF24rF9iaQcQX4b5x98V27rjzZyWBkgOAlNeZ8o0USK3rBwKR4ex73RqGny0HAZF7FnxO6K3/48aRN9KrotevbloWKOPR/R5tNKvMF6P+6EFAsnVCCiG8ZprmKNM0V5im+aFpmh+ZpvmZaZpHmaY5xDTNv3iQp59pmh9u4dMnuRcwb5ULmF5qWEmbcFspUrdSm1AbnvzNk4392/R/tiRQsi+wRfflzP6NO6ZpHrPe49+ZpvnwFuzvctM0d27itv80TfOUzX2N5iQFUuubSSC6E3v/ZSUjLpHuTpF7vn6I8LfPOvePvW+jE2bbhtvy5G+ebOxW2u3BqD96IjKsTohi9L5SapRSaiQwDvgjgFLqam9jbZG1FzBXs8u5cjzzQv0yqkKVmtcx8tm2Zdvy7IHPxjqXdP531B89la0fVjcd+LFAMk1zeyC6JTtSSv1TKfXlVuZpNVu+ZJXYGvMIRIexx2WfESzrxPi/+b0OJMS69Ncu0so69M/cPeZu7YQ3T9At+6djbNeSrvx3v//GygJlN2TvcyRX/IQockqpBtM07wFuN01zEfAEcKhS6lQA0zQnAfsCY4GLcXucZwK/BY4HTsO9aHsVsC1wDmAAryilrjJN80jgUtyLMZ8opS43TbMT8DigAcua4W24FzBH//kzStq3ZfzfAjhyeGs1dUsoD5ZLgbSFBrcbzF1j7oqHfeELfbrvgWba7beAaZpmuVKqFjgB92+uu2ma5wOH4RZMq4BDgeP4+d/yg7hF1lSgEngKGA/cDfTJbvdnpdSHpmkeDvwZWAkEss/zjPQgeWcxwZKd2PnM6Rz9eBxfyOs8QvxM4MF9jZ6BCuea3a758WrqgDYDeOqAp+IVwYo/hnyhq5HiSAjxk+VA2+z/Xwd2NU0zaprmTsAc3OLmb8BopdQIoAY4K7t9dfax74HLgT2AHYCgaZrds8/bO7tNF9M0xwJ/Ap5USu0FvNRM72E+gehQdjpjGkc9Km1za6pZQGmgVM5Lt8Be3fbivnH3xUoDpYc3Y3G01vPAYaZpasDOwGe49UMbYIxSajhuh8tO2e2rlVIjlFLjgW7AcUqpS9bZ3xnAKqXUnsDBwB2mafqBm4AxwD5ArJnfw2aTX0RvrSBYujM9R77Bbz9opLSj13mE+IljE75npDG6yx76yQNPtkd3H83D+zwcKw+WHxcwArd7HU8IkXO2AR4DUEplgOdwrzCfCtwH9AR+UErVZ7f/HzAw+3+V/bcnMEUpFVdKOUqpy4GOQDvgjew8owFAL6AvsHbIzqfN+D5WECzdhZ6j3uX0dxuJtGnGXYuNqp5HxL9Fo7eK2pF9j7Sv3/P6mrAvPAp4swVe4gncYXZ7Ah9nH7NxF3540jTNB4CuwNrRUGqd565SSq1eb3/bA/tn/5afxy2uOgFrlFKrlVIObhHmKSmQvJcgWHoklT1u4JzP4nQa4nUeIX7SuJLIY4dr5w85T//nHv+sC/vDe9J8V2qFEAXCNM0y4Ezc4TFrPQCcCAwH3gXmAgNM01x7FjwSmJH9/9rFEWYD/UzTDGb3+xxuz9RCYKxSahRwG/A57rCdXbPPW3v1urkkCJYeSpvet3POpzHa9m3m3YtfqF+CX/exNTcsLzYXDr0wfdmwy5aFfeFhwMSWeA2l1BzcYXQXkr0AApQBhyiljgYuwK0n1g6PXHehkw0tejIdt+d3FLAf8CzuENkK0zTbZbdp7r/nzSYFUm5w8IevJtLmBE59I8aAg2XYksgNvhDsen48lMnMCvvCuwBfex1JCJEzRmdXsRsPvIo75+DHq8dKqbnZ/76slLKVUquy23xgmubnuMPx7lp3h0qplcD1wEemaU4AJiml5uMOv/nINM0vcE+qZgB/Bw7NXok+qAXen00gcjnRdudx5vsxeoxsgZcQ60plUpQH5Gaxm+LTfVy3x3WJ4/ofNyPijwzFvbDQkp4Guiml1l7QsIBG0zQ/xb34sRTo3MR93YN7EeQj3J6i+UqpFHA+8LZpmu/hzkHylObIBMRcM5RU4zt8eks5H10vizcI75R1hhNeaKS867sES48D4l5HEkIIj4wiFXuJj/8d5ZN/+2TxhpbR8H8LnOPfPEmbUzvH6yg5q1tpN24dfWtjx0jHT0sCJYcBjV5nKkTSg5R7viEQHcRuF8zgmCfihORKivBAjz3hnM9iVPW4lmDpYUhxJIQobh8SiGzHiIt+4IQXY4Qrvc5TkOxMaqO3lxCwX4/9nOcOfC7evbT7Fdl7HElx1EKkQMpNSwmW7kSPkY9z/sQY3Zp0Xy0htp7ug7FXpzj26WrClYfgC12LrFQnhBAAiwiW7US3nR/kvC9idN7B6zwFR7OSthRIvxT2hbl2xLWJq3a9anHEH9ktYARuRdrmFiUFUu6KEyw5k5IOx3Hiy3WM/GMaTX5cogVV9oCz/tfIsNM+IxDphzuuWAghxE/SBKIXUNLhRE55vYGdz9zQJHSxhYxUjLJgmdcxckrfyr68dPBLjXt12+uVqD/aH5jsdaZiIGfcue9lApEB7Hr+N5z+biNlTZ0DJ8RmGHS0wzmfxmnT50qCpaOBFV5HEkKIHPYCgchQ9r5qDsc9HZOlwJuHP1mvSw/ST442j7Yf2/+xxg6RDueWBEqOBhq8zlQspEDKD4sJle1Gh+1u4Lwv4vQ7wOs8olAES+GIh+L85qaFBKK74QvcjHTbCyFEU8wiWLo92+5xLxdOkra5GfjjNXplsLLo26CyQBm3j749dsmOl8wK+8I7GLrxiNeZio0USPkjgz90NcGy0Rx273IOui1BoMTrTCKfdd0JzpsYo8/YZwmWDEC67YUQYnMlCEQvIVQxlkPvWcIRD8UJVXidKX/FVtMu3Laohy0ObjeYVw55JbZTx50eifqjg/jpXmGiFUmBlH8+JxA1GXjoC1z8XUyuWInNFiqHA29NcNIrNZR1Oolg6cnISjhCCLE1PiVY0pc+4x7jwkkxeu/tdZ781LCcNuHiHK5Y6i/lyl2uTNw37r66NuE2x0b8kXOApNe5ipUUSPmplmDp8UTa7M+h9yzkhBdjlHfzOpPIB9sdDhd9F2e7w58kEOkBPO91JCGEKBCNBEt+S6TNQRz16EoOuy9OtK3XmfJL/VIqg8W1hLqGxsG9DnbePuLt+G96/uapsC/cE3jF61zFTm4Um/+CpBP/h5P5Ax9eF+DzOw3sjNeZRK6p7AGH3NlIx+2XESw9Afjc60hCCFHAykg1/gPHPp33/hbkqwd0nKIeOdY0Aw5hyX7XOvu8sK/mdZTWYFaaXLP7NY3dSrvNKwmUnAJ85XUm4ZICqXD0IVH3XxpWDOLF30ZZ/LXXeUQuMPyw+8UWIy5NoRtX4wveBKS9jiWEEEViOxJ1D9GwrD8vnRtl0USv8+S2zjtQe/JLjHhqhNdJWlSpv5SLd7w4cWCvA1MBPXCZoRsPAFJB5xApkAqLhmMfRzpxBz88H+T9v4eoX+Z1JuGVPmPhN/9uJFT5BaGy04D5XkcSQogipOHYx5KO386010K8c0WYxlVeZ8pN4Uqs389k6KOFeRNeDY2Deh3k/HHnPyZ0TX8q6o9eBqzxOpf4JSmQClMVqcarQDuTifcZfHxTgESN15lEa+k2HPb9ZwNt+6whWHoh7lhm+UMXQghvlZFqvBY4nU9v8THhDh8pua3N+qy/rGbXJ3YlkUl4HaVZ9avqxzW7X9PQtaTrfBlOl/ukQCps3UjWXwva4Xz87wBf3GWQjnudSbSUDgNhn2sb6bpTHH/492j6o4BMSBNCiNzSm0TdDeDsy4f/dOcnWbJY2VqxPy3hoJcOZnlsuddRmsW2Zdty9uCz46O7j04H9MDvDN14EBlOl/OkQCoOJonaf+PYezH+mjCT/qthW15nEs2lsgeM+WucvuMsdP9VGP47kaVBhRAi1w0iUfsfMunhvHdVmG+f1GSRJai/fL5zyjunazOq8/v2P2alyXlDzmvctfOujq7p/w4YgVuAaq9ziaaRAqm4DCNRewvp2GDe/UuUKS8ghVIeK+8Ge16WYNDRNpr2b3yhfwH1XscSQgixWXYnUXsryXqT9/8eZcpzkCnetXTqfj8jc8knVxhfLvvS6yhbZHC7wZw/9PyGwe0GW37df61P990FyFjKPCMFUnEaTaL2X2TS/fjfjSG+eUQnJfcJzRtdh8GISxvpNVrDce4jEPk7IDN+hRAif2nAGOI1V+PYg/jk5hBfP6STLL5rXvUXf2ddNfkW37vz3/U6ymbZpdMuXDD0gobeFb1jQSP4V0M3HgIKayJVEZECqbjtTKL2KjRjNF/ea/DlvX7ql3qdSWyIbkC/A2HPy+qp7BHHH7oO3fcA0mMkhBCFZgcSdX9BN/bhq4cMJtxeVG1z/LzPM/+a9azx7IxnvY6ySRoao7qN4oKhFzR0LulcHfVH/ww8idxOI+9JgSQAepFs+CO6cQKzxjt8dkuEhfnZtV1wgqUw9CSbEZckMPyzCFf8DXgZWXxBCCEK3bakGv6IZpzM9Ncdvrg7Ugz3Ucqc/q5z24rPtAemPOB1lI0q9Zeyz7b7cNr2pzVUBiuXlgRK/g94EVl8oWBIgSTWVYZtnUY68Ufql0T58r4SpjynEZMl+ltd12Ew5IQkg452sNPvECr/ByBVqxBCFJ8qMukzsRIX0biyhAl3lvD9MxqJWq9ztYxjn+bRzEr7hok36F5HWZehGezWeTeO6HtE4+6dd/clM8n3y4JltwDvILfSKDhSIIkN0YFxxGvOxh/ah/kTLL5+uIQZbyJLkbagyh4w+JgMO5ycIFhSixG8F1/gIWCB19GEEEJ4Tgf2IlF7KUZwb2a+bfHVg1HmfgSFdC538B28VdHW+v3/fu/zOgpA38q+HNr70NRBvQ/K4DCnJFByh67pTyM3eC1oUiCJTSkFDiNefS5GcDBTX7L55rEwCz4rrAOyV8KVMPBQGHZaHW16a9iZpwiW3A9MRK5ICSGE2LA22JnjSTVcgJ3pzJTnDaY8H2ThF+Dk+Sivvf/Cl71HWKe/c4ZnBVKbUBv277m/c7R5dEO7cLuUoRsPBI3gg4DyKpNoXVIgic3RlUz6eNKxs8mk2vHtUwFmvOVnweeyXPjmKO0IvcfAwEMb2HaEHyv5HqHyu4G3kYmdQgghNk9/rNRRpGMnAZ344UWdKc8HWfAZeXlfpZ3OYOauZ9mHvXp4qw6xqwxWskvnXTis92ENQ9sPNVJ26tXSQOk9wIfI3KKiIwWS2FKDsZJHkY4fgS+4DfM+STHt1VJmvQt1S7zOllt0A7ruDH33seh/UIzyLj7SiQ8IVzwLvAQU6EByIYQQrawPmfSRpBpPQdO7MuMtmPl2mDkfQmOe3A2i734sP/g/zpjnxmot+TJBI8gOHXZg9867p0d2GxnvFO0UiFvxzyuCFQ8BLyD3LipqUiCJ5tAe2Id4zRH4gnvTsNxm2qshZrztZ9GXxTlvqbQT9BoN/Q9soMdIP5nUInyh5/GHXgU+B6TLTQghREvqCexHbM2hBCK7UbfUQr0RYvZ4P/M/g3Tc63wb1r4/DWe8x65P7tqsu9U1nX5V/dit8272Xt32auhX1S8Us2Iq6ou+6Df8b+MObZdRHAKQAkk0PwPYCSt5AOnY4QSivVgzL8aCz4Is+DzE4q9h9czCmr8ULIVOQ6DrMIdtRjTQZQcDf9jBSvyPcOWzwFtA8dzEQgghRK7xATuRSY8jWX8ogZIBrFIx5n8aZuGXARZPguq5Xmd0+SNkrljEkEeGbNVufLqPHmU9GNJ+CKO6jaof1mGYP+NkVhia8XrEH3kd+B9yL0GxEVIg5RDTNC8HxgB+3PGulwEnAjcppZq8kplpmqOAs5VSx7REzs0UBoYCOxOvHo1u7Izur2T5D3HmfRJl0UQfK6dDzQLIpLzOummhcmjTGzoNhu67xeg+PENppxDJeoUv9CGByKe4y3HPRRZZEEIIkZtKgJ2xM8NJ1O6FL7AjaFGWfptk/qdRln5rsGomrJnjSducunIlez69J43pxk1u69N8dC/rTu+K3vSu6G0PaDugsW9FX9pF2oXjVnyFgzOhLFD2MvAecrFSNJEUSDnCNM0BwP3A7kopxzTNIcB/lVKDt2Bfo8idAmlD2uJeydqFZP1oDF8f/JG2xGsSVM+1WDE9wCoVZs0c9+BcPa91hwJE20HlNlCR/WjbN0aHAWkqewTwh3RSjQvR9K8IlX8EfAFMQbrlhRBC5LeOwE5kUruQrN8d3d8Xf6Qd8dUJVs3KsHxKmJUqwJo5UL8UGpZDvLpFgjResdg5/NUjtMUNiwF3eFxFsII2/9/e3bRIdhVwHP5XdVVXd9fETGYyjihEJAMnhkREskh2brIIuhMhaxcSxCxMEBQXAT+Am/gJoi7cZBlfkoViAokuhASDJ8E3JGkmHWcyk+nq7nrN4p4hk3EYBpRON3keODS3b1dRtbldv7r3nLtx+moMre49fe+VckdZnR2f3dqf7787X85fHw/HrwzXhq8l+Uu6Fec+gdf48/8gkI6IUsrn0n3YfirJr2utb5VSRulWNnssyaNJvpBuvs/nk3yv1vqbUsrXk/w43UT/i0leTbfiymO11kdLKd9M8kSSRZIXa60/ONx3dsuGSe5Kci7JucwmX8xs7770B3dnffyZLBerHFyZZv/SPHsXksl/etndGWR3Z5TJhbXsv5csbqFRRie6pbW37pxmfGaa8Z2LbJ5KNk/2M/rUIOtboyzme5nvbWe1+lvWt17PYOPNdAfamuTtODMEwCfDMN1nj5KkZP/Sl7Oc35P+4GzWRqeyNhhl/9J+dt+d5/3tXi5vD7J/aZDplWFmk15mk+4LzqsjSfqDbvGi/iBZG364PdxKNm5fZuv0we7939jY3j2/tzHYmJ8cnRxuDjdHs8VsMlvOLs6X87+Ph+M/rq+tv5ouhP6a5IhOqOK4EkhHSCnlK0m+m+4yu0mSHyV5PB8G0mdrrd8upTyc5MkkX0vyZpKHaq3nSym/aNu/a4/5TpIXkzxQa52UUn6W5Jla6/OH+87+Z71092M6dcMx2/t05gdns1qu3/xZer30Bxcz3NxOf3Ah3U3erh8X4xsnALgVo3Rnnq4d4yRbWUxPZDG9PYv5bVktTySrE+0x06Q3TzJLrz9NrzdNrz9Lf3Alw82dJO+l+7//RpLzSd5JshOLG3GIjsRdiklKKeeSXK61fqttP5DkV/no9bJ/bj//nWQjyZn2mPPt939Id3C66lz7m+dKKUkXGXcnOW6BtEpyuY1//tfe4WY3AIDDdJDkX2181Np6N+AYOtSbcHFTX0ry01LK1aPJG+m+Rbn2Lm/Xn+57J8ltpZQzbfvB6/b/I11MPVxr/WqSp9MtMQ0AANyAQDoiaq3PpjsD9KdSykvp5h59Pze5iWitdZnukrznSikvpJvDM7tm/06SnyT5fSnllSSPpAsvAADgBsxBOuZKKT9Mtwz4QSnl50l+W2t95uN+XQAAcByZg3T8vZ/k5VLKJN38nF9+vC8HAACOL2eQAAAAGnOQAAAAGoEEAADQCCQAAIBGIAEAADQCCQAAoBFIAAAAjUACAABoBBIAAEAjkAAAABqBBAAA0AgkAACARiABAAA0AgkAAKARSAAAAI1AAgAAaAQSAABAI5AAAAAagQQAANAIJAAAgEYgAQAANAIJAACgEUgAAACNQAIAAGgEEgAAQCOQAAAAGoEEAADQCCQAAIBGIAEAADQCCQAAoBFIAAAAjUACAABoBBIAAEAjkAAAAJoPAJy9cTk/MPMQAAAAAElFTkSuQmCC\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#离职婚姻\n",
+    "unique=df['MaritalStatus'].unique()\n",
+    "# 根据'MaritalStatus'列还原成字符串\n",
+    "unique = maps['MaritalStatus'].inverse_transform(unique)\n",
+    "marital_dict=dict(zip(unique,[i for i in range(len(unique))]))\n",
+    "plt.figure(figsize=(16,6))\n",
+    "plt.subplot(121)\n",
+    "quit_pie=pd.DataFrame(quit_df[\"MaritalStatus\"].value_counts())\n",
+    "quit_pie.index=quit_pie.index.map(dict(zip(marital_dict.values(),marital_dict.keys())))\n",
+    "quit_pie[\"MaritalStatus\"].plot(kind=\"pie\",\n",
+    "                        autopct='%.1f%%',\n",
+    "                        title=\"Attrition in different Marital Status\"\n",
+    "                        )\n",
+    "plt.subplot(122)\n",
+    "not_quit_pie=pd.DataFrame(not_quit_df[\"MaritalStatus\"].value_counts())\n",
+    "not_quit_pie.index=not_quit_pie.index.map(dict(zip(marital_dict.values(),marital_dict.keys())))\n",
+    "not_quit_pie[\"MaritalStatus\"].plot(kind=\"pie\",\n",
+    "                        autopct='%.1f%%',\n",
+    "                        title=\"Non-attrition in different Marital Status\"\n",
+    "                        )\n",
+    "plt.show()\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1152x432 with 2 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#离职主要部门\n",
+    "unique=df['Department'].unique()\n",
+    "unique = maps['Department'].inverse_transform(unique)\n",
+    "department_dict=dict(zip(unique,[i for i in range(len(unique))]))\n",
+    "plt.figure(figsize=(16,6))\n",
+    "plt.subplot(121)\n",
+    "quit_pie=pd.DataFrame(quit_df[\"Department\"].value_counts())\n",
+    "quit_pie.index=quit_pie.index.map(dict(zip(department_dict.values(),department_dict.keys())))\n",
+    "quit_pie[\"Department\"].plot(kind=\"pie\",\n",
+    "                        autopct='%.1f%%',\n",
+    "                        title=\"Attrition in different departments\"\n",
+    "                        )\n",
+    "plt.subplot(122)\n",
+    "not_quit_pie=pd.DataFrame(not_quit_df[\"Department\"].value_counts())\n",
+    "not_quit_pie.index=not_quit_pie.index.map(dict(zip(department_dict.values(),department_dict.keys())))\n",
+    "not_quit_pie[\"Department\"].plot(kind=\"pie\",\n",
+    "                        autopct='%.1f%%',\n",
+    "                        title=\"Non-attrition in different departments\"\n",
+    "                        )\n",
+    "plt.show()\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<seaborn.axisgrid.PairGrid at 0x1f5b91cb940>"
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 762.375x720 with 20 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 各个变量的pairplot\n",
+    "sns.pairplot(df, hue='Attrition', vars=['Age', 'DistanceFromHome', 'MonthlyIncome', 'TotalWorkingYears'], palette='husl')\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/2、幸福感数据分析/第5组-杜佳璐/第5组实战/股价.ipynb b/2、幸福感数据分析/第5组-杜佳璐/第5组实战/股价.ipynb
new file mode 100644
index 0000000..4929f84
--- /dev/null
+++ b/2、幸福感数据分析/第5组-杜佳璐/第5组实战/股价.ipynb
@@ -0,0 +1,96 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 股价"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "-0.16729700365714814\n",
+      "-0.03420751642049763\n"
+     ]
+    }
+   ],
+   "source": [
+    "import matplotlib\n",
+    "import pandas as pd \n",
+    "from datetime import datetime\n",
+    "from matplotlib import pyplot as plt\n",
+    "plt.rcParams['font.sans-serif']='SimHei'#设置中文字符的正常显示\n",
+    "plt.rcParams['axes.unicode_minus'] = False\n",
+    "## 设置画图风格为R的ggplot风\n",
+    "matplotlib.style.use('ggplot')\n",
+    "data_trading_hour = pd.read_csv(\"aapl-trading-hour.csv\")\n",
+    "data_trading_hour[\"Close\"].plot()\n",
+    "plt.title('股价走势（每秒收盘价）')\n",
+    "## plt.savefig(\"plots/closing-price-plot.png\")\n",
+    "plt.show()\n",
+    "\n",
+    "\"\"\"收盘价变化率\n",
+    "\n",
+    "\"\"\"\"\n",
+    "\n",
+    "change = data_trading_hour[\"Close\"].diff()/data_trading_hour[\"Close\"]\n",
+    "change.plot()\n",
+    "plt.title('秒级收盘价变化率')\n",
+    "## plt.savefig(\"plots/price-change-plot.png\")\n",
+    "plt.show()\n",
+    "\n",
+    "## 看看前一秒变化率和后一秒变化率之间的关系。\n",
+    "print(change.shift(1).corr(change))\n",
+    "print(change.shift(2).corr(change))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/共享单车数据分析/src/main.py b/共享单车数据分析/src/main.py
new file mode 100644
index 0000000..58eaefd
--- /dev/null
+++ b/共享单车数据分析/src/main.py
@@ -0,0 +1,134 @@
+import torch
+import pandas as pd
+import numpy as np
+import os
+import time
+import torch.optim as optim
+import matplotlib.pyplot as plt
+
+train_data = pd.read_csv('../train.csv')
+test_data = pd.read_csv('../test.csv')
+#print(train_data)
+datetime=train_data['datetime'].values
+season=train_data['season'].values
+holiday=train_data['holiday'].values
+workingday=train_data['workingday'].values
+weather=train_data['weather'].values
+temp=train_data['temp'].values
+atemp=train_data['atemp'].values
+humidity=train_data['humidity'].values
+windspeed=train_data['windspeed'].values
+casual=train_data['casual'].values
+registered=train_data['registered'].values
+
+count=train_data['count'].values
+
+'''
+转换datetime,去掉不必要的符号和0
+'''
+def datetime_convert(datetime):
+    for i in range(len(datetime)):
+        datetime[i]=datetime[i].replace("-", "").replace(" ", "").replace(":00:00","")
+        datetime[i]=int(datetime[i])
+    return datetime
+datetime_convert(datetime)
+train_data['datetime']=datetime
+datetime_convert(test_data['datetime'].values)
+test_data['datetime']=test_data['datetime'].values
+'''
+标准化数据
+'''
+def normalize(ndarry):
+    ndarry=(ndarry-ndarry.mean())/ndarry.std()
+    return ndarry
+
+for i in range(12):
+    train_data.iloc[:,i]=normalize(train_data.iloc[:,i])
+
+
+
+
+X=torch.tensor(train_data.iloc[:,:9].to_numpy().astype(float),dtype=torch.float32)
+Y=torch.tensor(train_data.iloc[:,9:12].to_numpy().astype(float),dtype=torch.float32)
+X_test=torch.tensor(test_data.iloc[:,:9].to_numpy().astype(float),dtype=torch.float32)
+torch_train_dataset = torch.utils.data.TensorDataset(X, Y)
+batch_size = 10
+torch.manual_seed(seed=2023)
+
+training, vertification = torch.utils.data.random_split(torch_train_dataset, [10000, 886], )
+training_data = torch.utils.data.DataLoader(training,batch_size=batch_size,shuffle=True)
+vertification_data = torch.utils.data.DataLoader(training,batch_size=batch_size,shuffle=True)
+
+feature_number = 9  # 设置特征数目
+out_prediction = 3  # 设置输出数目
+learning_rate = 0.01  # 设置学习率
+epochs = 10 # 设置训练代数
+
+
+class Net(torch.nn.Module):
+    def __init__(self, n_feature, n_output, n_neuron1, n_neuron2,
+                 n_layer):  # n_feature为特征数目，这个数字不能随便取,n_output为特征对应的输出数目，也不能随便取
+        self.n_feature = n_feature
+        self.n_output = n_output
+        self.n_neuron1 = n_neuron1
+        self.n_neuron2 = n_neuron2
+        self.n_layer = n_layer
+        super(Net, self).__init__()
+        self.input_layer = torch.nn.Linear(self.n_feature, self.n_neuron1)  # 输入层
+        self.hidden1 = torch.nn.Linear(self.n_neuron1, self.n_neuron2)  # 1类隐藏层
+        self.hidden2 = torch.nn.Linear(self.n_neuron2, self.n_neuron2)  # 2类隐藏
+        self.predict = torch.nn.Linear(self.n_neuron2, self.n_output)  # 输出层
+
+    def forward(self, x):
+        '''定义前向传递过程'''
+        out = self.input_layer(x)
+        out = torch.relu(out)  # 使用relu函数非线性激活
+        out = self.hidden1(out)
+        out = torch.relu(out)
+        for i in range(self.n_layer):
+            out = self.hidden2(out)
+            out = torch.relu(out)
+        out = self.predict(  # 回归问题最后一层不需要激活函数
+            out
+        )  # 除去feature_number与out_prediction不能随便取，隐藏层数与其他神经元数目均可以适当调整以得到最佳预测效果
+        #print(out.shape)
+        return out
+
+net = Net(n_feature=feature_number,
+          n_output=out_prediction,
+          n_layer=1,
+          n_neuron1=20,
+          n_neuron2=20)  # 这里直接确定了隐藏层数目以及神经元数目，实际操作中需要遍历
+optimizer = optim.Adam(net.parameters(), learning_rate)  # 使用Adam算法更新参数
+criteon = torch.nn.MSELoss()  # 误差计算公式，回归问题采用均方误差
+average_losses=[]
+for epoch in range(epochs):  # 整个数据集迭代次数
+    net.train()  # 启动训练模式
+    for batch_idx, (data, target) in enumerate(training_data):
+        logits = net.forward(data)  # 前向计算结果（预测结果）
+        loss = criteon(logits, target)  # 计算损失
+        optimizer.zero_grad()  # 梯度清零
+        loss.backward()  # 后向传递过程
+        optimizer.step()  # 优化权重与偏差矩阵
+        #print(logits)
+
+    logit = []  # 这个是验证集，可以根据验证集的结果进行调参，这里根据验证集的结果选取最优的神经网络层数与神经元数目
+    target = []
+    net.eval()  # 启动测试模式
+    for data, targets in vertification:  # 输出验证集的平均误差
+        logits = net.forward(data).detach().numpy()
+        targets = targets.detach().numpy()
+        target.append(targets[0])
+        logit.append(logits[0])
+    average_loss = criteon(torch.tensor(logit), torch.tensor(target))
+    average_losses.append(average_loss)
+    print("epoch={},the average loss is {}".format(epoch,average_loss))
+
+Y_test=net.forward(X_test)
+print(Y_test)
+xx=range(epochs)
+yy=average_losses
+plt.xlim(0,epochs)
+plt.ylim(0,10)
+plt.plot(xx,yy)
+plt.show()
\ No newline at end of file
diff --git a/共享单车数据分析/十三组大作业/.keep b/共享单车数据分析/十三组大作业/.keep
new file mode 100644
index 0000000..e69de29
diff --git a/共享单车数据分析/十三组平时作业（实战）/.keep b/共享单车数据分析/十三组平时作业（实战）/.keep
new file mode 100644
index 0000000..e69de29
diff --git a/共享单车数据分析/十三组平时作业（实战）/iris线性回归模型.ipynb b/共享单车数据分析/十三组平时作业（实战）/iris线性回归模型.ipynb
new file mode 100644
index 0000000..a780a72
--- /dev/null
+++ b/共享单车数据分析/十三组平时作业（实战）/iris线性回归模型.ipynb
@@ -0,0 +1,256 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "b24327aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn import linear_model     #导入线性模型\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "from sklearn.datasets import load_iris   #导入金盏花数据集"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "815e1ba7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[5.1, 3.5, 1.4, 0.2],\n",
+       "       [4.9, 3. , 1.4, 0.2],\n",
+       "       [4.7, 3.2, 1.3, 0.2],\n",
+       "       [4.6, 3.1, 1.5, 0.2],\n",
+       "       [5. , 3.6, 1.4, 0.2],\n",
+       "       [5.4, 3.9, 1.7, 0.4],\n",
+       "       [4.6, 3.4, 1.4, 0.3],\n",
+       "       [5. , 3.4, 1.5, 0.2],\n",
+       "       [4.4, 2.9, 1.4, 0.2],\n",
+       "       [4.9, 3.1, 1.5, 0.1],\n",
+       "       [5.4, 3.7, 1.5, 0.2],\n",
+       "       [4.8, 3.4, 1.6, 0.2],\n",
+       "       [4.8, 3. , 1.4, 0.1],\n",
+       "       [4.3, 3. , 1.1, 0.1],\n",
+       "       [5.8, 4. , 1.2, 0.2],\n",
+       "       [5.7, 4.4, 1.5, 0.4],\n",
+       "       [5.4, 3.9, 1.3, 0.4],\n",
+       "       [5.1, 3.5, 1.4, 0.3],\n",
+       "       [5.7, 3.8, 1.7, 0.3],\n",
+       "       [5.1, 3.8, 1.5, 0.3],\n",
+       "       [5.4, 3.4, 1.7, 0.2],\n",
+       "       [5.1, 3.7, 1.5, 0.4],\n",
+       "       [4.6, 3.6, 1. , 0.2],\n",
+       "       [5.1, 3.3, 1.7, 0.5],\n",
+       "       [4.8, 3.4, 1.9, 0.2],\n",
+       "       [5. , 3. , 1.6, 0.2],\n",
+       "       [5. , 3.4, 1.6, 0.4],\n",
+       "       [5.2, 3.5, 1.5, 0.2],\n",
+       "       [5.2, 3.4, 1.4, 0.2],\n",
+       "       [4.7, 3.2, 1.6, 0.2],\n",
+       "       [4.8, 3.1, 1.6, 0.2],\n",
+       "       [5.4, 3.4, 1.5, 0.4],\n",
+       "       [5.2, 4.1, 1.5, 0.1],\n",
+       "       [5.5, 4.2, 1.4, 0.2],\n",
+       "       [4.9, 3.1, 1.5, 0.2],\n",
+       "       [5. , 3.2, 1.2, 0.2],\n",
+       "       [5.5, 3.5, 1.3, 0.2],\n",
+       "       [4.9, 3.6, 1.4, 0.1],\n",
+       "       [4.4, 3. , 1.3, 0.2],\n",
+       "       [5.1, 3.4, 1.5, 0.2],\n",
+       "       [5. , 3.5, 1.3, 0.3],\n",
+       "       [4.5, 2.3, 1.3, 0.3],\n",
+       "       [4.4, 3.2, 1.3, 0.2],\n",
+       "       [5. , 3.5, 1.6, 0.6],\n",
+       "       [5.1, 3.8, 1.9, 0.4],\n",
+       "       [4.8, 3. , 1.4, 0.3],\n",
+       "       [5.1, 3.8, 1.6, 0.2],\n",
+       "       [4.6, 3.2, 1.4, 0.2],\n",
+       "       [5.3, 3.7, 1.5, 0.2],\n",
+       "       [5. , 3.3, 1.4, 0.2],\n",
+       "       [7. , 3.2, 4.7, 1.4],\n",
+       "       [6.4, 3.2, 4.5, 1.5],\n",
+       "       [6.9, 3.1, 4.9, 1.5],\n",
+       "       [5.5, 2.3, 4. , 1.3],\n",
+       "       [6.5, 2.8, 4.6, 1.5],\n",
+       "       [5.7, 2.8, 4.5, 1.3],\n",
+       "       [6.3, 3.3, 4.7, 1.6],\n",
+       "       [4.9, 2.4, 3.3, 1. ],\n",
+       "       [6.6, 2.9, 4.6, 1.3],\n",
+       "       [5.2, 2.7, 3.9, 1.4],\n",
+       "       [5. , 2. , 3.5, 1. ],\n",
+       "       [5.9, 3. , 4.2, 1.5],\n",
+       "       [6. , 2.2, 4. , 1. ],\n",
+       "       [6.1, 2.9, 4.7, 1.4],\n",
+       "       [5.6, 2.9, 3.6, 1.3],\n",
+       "       [6.7, 3.1, 4.4, 1.4],\n",
+       "       [5.6, 3. , 4.5, 1.5],\n",
+       "       [5.8, 2.7, 4.1, 1. ],\n",
+       "       [6.2, 2.2, 4.5, 1.5],\n",
+       "       [5.6, 2.5, 3.9, 1.1],\n",
+       "       [5.9, 3.2, 4.8, 1.8],\n",
+       "       [6.1, 2.8, 4. , 1.3],\n",
+       "       [6.3, 2.5, 4.9, 1.5],\n",
+       "       [6.1, 2.8, 4.7, 1.2],\n",
+       "       [6.4, 2.9, 4.3, 1.3],\n",
+       "       [6.6, 3. , 4.4, 1.4],\n",
+       "       [6.8, 2.8, 4.8, 1.4],\n",
+       "       [6.7, 3. , 5. , 1.7],\n",
+       "       [6. , 2.9, 4.5, 1.5],\n",
+       "       [5.7, 2.6, 3.5, 1. ],\n",
+       "       [5.5, 2.4, 3.8, 1.1],\n",
+       "       [5.5, 2.4, 3.7, 1. ],\n",
+       "       [5.8, 2.7, 3.9, 1.2],\n",
+       "       [6. , 2.7, 5.1, 1.6],\n",
+       "       [5.4, 3. , 4.5, 1.5],\n",
+       "       [6. , 3.4, 4.5, 1.6],\n",
+       "       [6.7, 3.1, 4.7, 1.5],\n",
+       "       [6.3, 2.3, 4.4, 1.3],\n",
+       "       [5.6, 3. , 4.1, 1.3],\n",
+       "       [5.5, 2.5, 4. , 1.3],\n",
+       "       [5.5, 2.6, 4.4, 1.2],\n",
+       "       [6.1, 3. , 4.6, 1.4],\n",
+       "       [5.8, 2.6, 4. , 1.2],\n",
+       "       [5. , 2.3, 3.3, 1. ],\n",
+       "       [5.6, 2.7, 4.2, 1.3],\n",
+       "       [5.7, 3. , 4.2, 1.2],\n",
+       "       [5.7, 2.9, 4.2, 1.3],\n",
+       "       [6.2, 2.9, 4.3, 1.3],\n",
+       "       [5.1, 2.5, 3. , 1.1],\n",
+       "       [5.7, 2.8, 4.1, 1.3],\n",
+       "       [6.3, 3.3, 6. , 2.5],\n",
+       "       [5.8, 2.7, 5.1, 1.9],\n",
+       "       [7.1, 3. , 5.9, 2.1],\n",
+       "       [6.3, 2.9, 5.6, 1.8],\n",
+       "       [6.5, 3. , 5.8, 2.2],\n",
+       "       [7.6, 3. , 6.6, 2.1],\n",
+       "       [4.9, 2.5, 4.5, 1.7],\n",
+       "       [7.3, 2.9, 6.3, 1.8],\n",
+       "       [6.7, 2.5, 5.8, 1.8],\n",
+       "       [7.2, 3.6, 6.1, 2.5],\n",
+       "       [6.5, 3.2, 5.1, 2. ],\n",
+       "       [6.4, 2.7, 5.3, 1.9],\n",
+       "       [6.8, 3. , 5.5, 2.1],\n",
+       "       [5.7, 2.5, 5. , 2. ],\n",
+       "       [5.8, 2.8, 5.1, 2.4],\n",
+       "       [6.4, 3.2, 5.3, 2.3],\n",
+       "       [6.5, 3. , 5.5, 1.8],\n",
+       "       [7.7, 3.8, 6.7, 2.2],\n",
+       "       [7.7, 2.6, 6.9, 2.3],\n",
+       "       [6. , 2.2, 5. , 1.5],\n",
+       "       [6.9, 3.2, 5.7, 2.3],\n",
+       "       [5.6, 2.8, 4.9, 2. ],\n",
+       "       [7.7, 2.8, 6.7, 2. ],\n",
+       "       [6.3, 2.7, 4.9, 1.8],\n",
+       "       [6.7, 3.3, 5.7, 2.1],\n",
+       "       [7.2, 3.2, 6. , 1.8],\n",
+       "       [6.2, 2.8, 4.8, 1.8],\n",
+       "       [6.1, 3. , 4.9, 1.8],\n",
+       "       [6.4, 2.8, 5.6, 2.1],\n",
+       "       [7.2, 3. , 5.8, 1.6],\n",
+       "       [7.4, 2.8, 6.1, 1.9],\n",
+       "       [7.9, 3.8, 6.4, 2. ],\n",
+       "       [6.4, 2.8, 5.6, 2.2],\n",
+       "       [6.3, 2.8, 5.1, 1.5],\n",
+       "       [6.1, 2.6, 5.6, 1.4],\n",
+       "       [7.7, 3. , 6.1, 2.3],\n",
+       "       [6.3, 3.4, 5.6, 2.4],\n",
+       "       [6.4, 3.1, 5.5, 1.8],\n",
+       "       [6. , 3. , 4.8, 1.8],\n",
+       "       [6.9, 3.1, 5.4, 2.1],\n",
+       "       [6.7, 3.1, 5.6, 2.4],\n",
+       "       [6.9, 3.1, 5.1, 2.3],\n",
+       "       [5.8, 2.7, 5.1, 1.9],\n",
+       "       [6.8, 3.2, 5.9, 2.3],\n",
+       "       [6.7, 3.3, 5.7, 2.5],\n",
+       "       [6.7, 3. , 5.2, 2.3],\n",
+       "       [6.3, 2.5, 5. , 1.9],\n",
+       "       [6.5, 3. , 5.2, 2. ],\n",
+       "       [6.2, 3.4, 5.4, 2.3],\n",
+       "       [5.9, 3. , 5.1, 1.8]])"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "iris = load_iris()\n",
+    "iris.data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "ec3cbc26",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "y =   -0.06188x +    3.41895\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "##　选取第０，１列数据，做线性回归分析\n",
+    "#获取花瓣的长和宽\n",
+    "x = [n[0] for n in iris.data]\n",
+    "y = [n[1] for n in iris.data]\n",
+    "x = np.array(x).reshape(len(x),1)\n",
+    "y = np.array(y).reshape(len(y),1)\n",
+    "\n",
+    "lr = linear_model.LinearRegression()\n",
+    "lr.fit(x,y)\n",
+    "pred = lr.predict(x)\n",
+    "# 打印截距和系数\n",
+    "intercept = lr.intercept_\n",
+    "coef = lr.coef_\n",
+    "# 以公式的形式打印出来\n",
+    "print(\"y = %10.5fx + %10.5f\" % (coef, intercept))\n",
+    "plt.scatter(x,y,s=50)\n",
+    "plt.plot(x,pred,\"r\",linewidth=2)\n",
+    "for idx, m in enumerate(x):\n",
+    "    plt.plot([m,m],[y[idx],pred[idx]], 'g')\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/共享单车数据分析/十三组平时作业（实战）/torch实现cnn服饰分类/.keep b/共享单车数据分析/十三组平时作业（实战）/torch实现cnn服饰分类/.keep
new file mode 100644
index 0000000..e69de29
diff --git a/共享单车数据分析/十三组平时作业（实战）/torch实现cnn服饰分类/Model.pkl b/共享单车数据分析/十三组平时作业（实战）/torch实现cnn服饰分类/Model.pkl
new file mode 100644
index 0000000..7f79350
Binary files /dev/null and b/共享单车数据分析/十三组平时作业（实战）/torch实现cnn服饰分类/Model.pkl differ
diff --git a/共享单车数据分析/十三组平时作业（实战）/torch实现cnn服饰分类/cnn服装分类.ipynb b/共享单车数据分析/十三组平时作业（实战）/torch实现cnn服饰分类/cnn服装分类.ipynb
new file mode 100644
index 0000000..bf53de7
--- /dev/null
+++ b/共享单车数据分析/十三组平时作业（实战）/torch实现cnn服饰分类/cnn服装分类.ipynb
@@ -0,0 +1,638 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import torch\n",
+    "import torch.nn as nn\n",
+    "import torch.optim as optim\n",
+    "import torch.nn.functional as F\n",
+    "from torch.utils.data import Dataset, DataLoader"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "device(type='cpu')"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "device=torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
+    "device"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    ""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "batch_size = 256\n",
+    "lr=1e-4\n",
+    "epochs=20\n",
+    "# 设置好超参数\n",
+    "# 因为不是linux系统上跑，所以num_workers就不写，默认0\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "下载Fashion-MNIST数据集"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from torchvision import transforms\n",
+    "image_size = 28\n",
+    "data_transforms = transforms.Compose([\n",
+    "    # transforms.ToPILImage(),\n",
+    "    transforms.Resize(image_size),\n",
+    "    transforms.ToTensor()\n",
+    "])\n",
+    "# 如果你使用的内置的dataset，那么ToPILImage这一句可以不要"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz\n",
+      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz to ./FashionMNIST\\raw\\train-images-idx3-ubyte.gz\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "  0%|          | 0/26421880 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Extracting ./FashionMNIST\\raw\\train-images-idx3-ubyte.gz to ./FashionMNIST\\raw\n",
+      "\n",
+      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz\n",
+      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz to ./FashionMNIST\\raw\\train-labels-idx1-ubyte.gz\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "  0%|          | 0/29515 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Extracting ./FashionMNIST\\raw\\train-labels-idx1-ubyte.gz to ./FashionMNIST\\raw\n",
+      "\n",
+      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz\n",
+      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz to ./FashionMNIST\\raw\\t10k-images-idx3-ubyte.gz\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "  0%|          | 0/4422102 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Extracting ./FashionMNIST\\raw\\t10k-images-idx3-ubyte.gz to ./FashionMNIST\\raw\n",
+      "\n",
+      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz\n",
+      "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz to ./FashionMNIST\\raw\\t10k-labels-idx1-ubyte.gz\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "  0%|          | 0/5148 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Extracting ./FashionMNIST\\raw\\t10k-labels-idx1-ubyte.gz to ./FashionMNIST\\raw\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from torchvision import datasets\n",
+    "train_data=datasets.FashionMNIST(root='./', train=True, download=True, transform=data_transforms)\n",
+    "test_data=datasets.FashionMNIST(root='./', train=True, download=True, transform=data_transforms)\n",
+    "                                     "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_loader = DataLoader(train_data,\n",
+    "                          batch_size = batch_size,\n",
+    "                          shuffle = True,\n",
+    "                          drop_last = True)\n",
+    "\n",
+    "test_loader = DataLoader(test_data,\n",
+    "                         batch_size = batch_size,\n",
+    "                         shuffle = False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "这里，我们把上面的测试集与训练集构造好。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Dataset FashionMNIST\n",
+       "    Number of datapoints: 60000\n",
+       "    Root location: ./\n",
+       "    Split: Train\n",
+       "    StandardTransform\n",
+       "Transform: Compose(\n",
+       "               Resize(size=28, interpolation=bilinear, max_size=None, antialias=None)\n",
+       "               ToTensor()\n",
+       "           )"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_data "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "torch.Size([256, 1, 28, 28]) torch.Size([256])\n"
+     ]
+    }
+   ],
+   "source": [
+    "image, label = next(iter(train_loader))\n",
+    "print(image.shape, label.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x1b1de03e6b0>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "plt.imshow(image[0][0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "打印随机一张图"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "下面开始搭建模型"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class CNNnet(nn.Module):\n",
+    "    def __init__(self):\n",
+    "        super(CNNnet, self).__init__()\n",
+    "        self.conv = nn.Sequential(\n",
+    "            # 黑白图片的in_channels = 1\n",
+    "            nn.Conv2d(1, 32, 5),\n",
+    "            nn.ReLU(),\n",
+    "            nn.MaxPool2d(2, stride = 2),\n",
+    "            # 防止过拟合\n",
+    "            nn.Dropout(0.3),\n",
+    "            nn.Conv2d(32, 64, 5),\n",
+    "            nn.ReLU(),\n",
+    "            # 下面第一个2为kernel_size的大小\n",
+    "            nn.MaxPool2d(2, stride = 2),\n",
+    "            nn.Dropout(0.3)\n",
+    "        )\n",
+    "        self.fc = nn.Sequential(\n",
+    "            nn.Linear(64 * 4 * 4, 512),\n",
+    "            nn.ReLU(),\n",
+    "            nn.Linear(512, 10)\n",
+    "        )\n",
+    "    def forward(self, x):\n",
+    "        x = self.conv(x)\n",
+    "        x = x.view(-1, 64 * 4 * 4)\n",
+    "        x = self.fc(x)\n",
+    "        # x = nn.functional.normalize(x)\n",
+    "        return x\n",
+    "\n",
+    "model=CNNnet()\n",
+    "print(model)\n",
+    "\n",
+    "\n",
+    "import torchvision.models as models\n",
+    "from torchinfo import summary\n",
+    "summary(model)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "这么看我们这个CNN的结构，还是比较一目了然的。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from tensorboardX import SummaryWriter\n",
+    "\n",
+    "writer = SummaryWriter('./runs')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "writer.add_graph(model,input_to_model = torch.rand(32, 1, 224, 224))\n",
+    "writer.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "尝试用Tensorboard交互性界面进一步可视化一下CNN的结构"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = CNNnet()\n",
+    "# 建立模型\n",
+    "criterion = nn.CrossEntropyLoss()\n",
+    "# 交叉熵为loss function\n",
+    "optimizer = optim.Adam(model.parameters(),lr = 0.001)\n",
+    "# Adam作为优化算法"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def train(epoch):\n",
+    "    model.train()\n",
+    "    running_loss = 0.0\n",
+    "    for batch_idx, data in enumerate(train_loader, 0):\n",
+    "        # 1.准备数据\n",
+    "        inputs, target = data \n",
+    "        inputs, target = inputs.to(device), target.to(device)\n",
+    "        # 2.Forward\n",
+    "        outputs = model(inputs)\n",
+    "        loss = criterion(outputs, target)\n",
+    "        # 3.Backward\n",
+    "        optimizer.zero_grad()\n",
+    "        loss.backward()\n",
+    "        # 4.Update parameters\n",
+    "        optimizer.step()\n",
+    "        \n",
+    "        running_loss += loss.item()\n",
+    "        if batch_idx % 30 == 29:\n",
+    "            print('[%d, %5d] loss: %.3f'%(\n",
+    "                  epoch + 1,\n",
+    "                  batch_idx + 1,\n",
+    "                  running_loss / 30))\n",
+    "            running_loss = 0.0\n",
+    "        # 每30 batch 输出一次\n",
+    "    print('Finished epoch %d, loss: %.3f'%(epoch + 1, running_loss))\n",
+    "# 训练整个CNN"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def test():\n",
+    "    correct = 0\n",
+    "    total = 0\n",
+    "    with torch.no_grad():\n",
+    "        for data in test_loader:\n",
+    "            images, labels = data\n",
+    "            images, labels = images.to(device), labels.to(device)\n",
+    "            outputs = model(images)\n",
+    "            # 求出每一行(样本)的最大值的下标，dim=1即行的维度\n",
+    "            # 返回最大值和最大值所在的下标\n",
+    "            _, predicted = torch.max(outputs.data, dim = 1)\n",
+    "            # label矩阵为N × 1\n",
+    "            total += labels.size(0)\n",
+    "            correct += (predicted == labels).sum().item()\n",
+    "        print('accuracy on test set :%d  %% ' % (100 * correct / total))\n",
+    "        return correct / total\n",
+    "# 测试"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1,    30] loss: 1.198\n",
+      "[1,    60] loss: 0.718\n",
+      "[1,    90] loss: 0.631\n",
+      "[1,   120] loss: 0.592\n",
+      "[1,   150] loss: 0.558\n",
+      "[1,   180] loss: 0.532\n",
+      "[1,   210] loss: 0.491\n",
+      "Finished epoch 1, loss: 11.346\n",
+      "accuracy on test set :82  % \n",
+      "[2,    30] loss: 0.458\n",
+      "[2,    60] loss: 0.442\n",
+      "[2,    90] loss: 0.435\n",
+      "[2,   120] loss: 0.417\n",
+      "[2,   150] loss: 0.410\n",
+      "[2,   180] loss: 0.384\n",
+      "[2,   210] loss: 0.399\n",
+      "Finished epoch 2, loss: 9.113\n",
+      "accuracy on test set :85  % \n",
+      "[3,    30] loss: 0.371\n",
+      "[3,    60] loss: 0.368\n",
+      "[3,    90] loss: 0.371\n",
+      "[3,   120] loss: 0.362\n",
+      "[3,   150] loss: 0.362\n",
+      "[3,   180] loss: 0.361\n",
+      "[3,   210] loss: 0.331\n",
+      "Finished epoch 3, loss: 8.068\n",
+      "accuracy on test set :87  % \n",
+      "[4,    30] loss: 0.317\n",
+      "[4,    60] loss: 0.331\n",
+      "[4,    90] loss: 0.324\n",
+      "[4,   120] loss: 0.331\n",
+      "[4,   150] loss: 0.320\n",
+      "[4,   180] loss: 0.306\n",
+      "[4,   210] loss: 0.335\n",
+      "Finished epoch 4, loss: 7.704\n",
+      "accuracy on test set :88  % \n",
+      "[5,    30] loss: 0.310\n",
+      "[5,    60] loss: 0.284\n",
+      "[5,    90] loss: 0.300\n",
+      "[5,   120] loss: 0.304\n",
+      "[5,   150] loss: 0.294\n",
+      "[5,   180] loss: 0.302\n",
+      "[5,   210] loss: 0.296\n",
+      "Finished epoch 5, loss: 7.099\n",
+      "accuracy on test set :89  % \n",
+      "[6,    30] loss: 0.284\n",
+      "[6,    60] loss: 0.274\n",
+      "[6,    90] loss: 0.286\n",
+      "[6,   120] loss: 0.299\n",
+      "[6,   150] loss: 0.282\n",
+      "[6,   180] loss: 0.289\n",
+      "[6,   210] loss: 0.268\n",
+      "Finished epoch 6, loss: 6.700\n",
+      "accuracy on test set :90  % \n",
+      "[7,    30] loss: 0.275\n",
+      "[7,    60] loss: 0.254\n",
+      "[7,    90] loss: 0.271\n",
+      "[7,   120] loss: 0.284\n",
+      "[7,   150] loss: 0.257\n",
+      "[7,   180] loss: 0.260\n",
+      "[7,   210] loss: 0.278\n",
+      "Finished epoch 7, loss: 6.579\n",
+      "accuracy on test set :90  % \n",
+      "[8,    30] loss: 0.259\n",
+      "[8,    60] loss: 0.265\n",
+      "[8,    90] loss: 0.241\n",
+      "[8,   120] loss: 0.262\n",
+      "[8,   150] loss: 0.261\n",
+      "[8,   180] loss: 0.252\n",
+      "[8,   210] loss: 0.249\n",
+      "Finished epoch 8, loss: 6.139\n",
+      "accuracy on test set :90  % \n",
+      "[9,    30] loss: 0.250\n",
+      "[9,    60] loss: 0.251\n",
+      "[9,    90] loss: 0.245\n",
+      "[9,   120] loss: 0.255\n",
+      "[9,   150] loss: 0.242\n",
+      "[9,   180] loss: 0.248\n",
+      "[9,   210] loss: 0.246\n",
+      "Finished epoch 9, loss: 5.539\n",
+      "accuracy on test set :91  % \n",
+      "[10,    30] loss: 0.227\n",
+      "[10,    60] loss: 0.241\n",
+      "[10,    90] loss: 0.255\n",
+      "[10,   120] loss: 0.237\n",
+      "[10,   150] loss: 0.237\n",
+      "[10,   180] loss: 0.236\n",
+      "[10,   210] loss: 0.234\n",
+      "Finished epoch 10, loss: 5.765\n",
+      "accuracy on test set :91  % \n"
+     ]
+    }
+   ],
+   "source": [
+    "if __name__ == '__main__':\n",
+    "    epoch_list = []\n",
+    "    acc_list = []\n",
+    "    \n",
+    "    for epoch in range(10):\n",
+    "        train(epoch)\n",
+    "        acc = test()\n",
+    "        epoch_list.append(epoch)\n",
+    "        acc_list.append(acc)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(epoch_list, acc_list)\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.xlabel('epoch')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "绘制出每次epoch的准确率的曲线"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "save_path = \"./Model.pkl\"\n",
+    "torch.save(model, save_path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "最后保存模型"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.7"
+  },
+  "orig_nbformat": 4.0
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/共享单车数据分析/十三组平时作业（实战）/torch实现cnn服饰分类/cnn网络.ipynb b/共享单车数据分析/十三组平时作业（实战）/torch实现cnn服饰分类/cnn网络.ipynb
new file mode 100644
index 0000000..b5c1312
--- /dev/null
+++ b/共享单车数据分析/十三组平时作业（实战）/torch实现cnn服饰分类/cnn网络.ipynb
@@ -0,0 +1,273 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<torch.utils.data.dataloader.DataLoader object at 0x0000027C4A385B48>\n"
+     ]
+    }
+   ],
+   "source": [
+    "import torch\n",
+    "import torch.nn as nn\n",
+    "import torch.nn.functional as F\n",
+    "from torch.utils.data import Dataset, DataLoader, random_split\n",
+    "from torchvision import transforms, datasets, models\n",
+    "\n",
+    "torch.manual_seed(1)  # 设置随机种子, 用于复现\n",
+    "\n",
+    "image_size = 28\n",
+    "# 超参数\n",
+    "EPOCH = 100  # 前向后向传播迭代次数\n",
+    "LR = 0.001  # 学习率 learning rate\n",
+    "BATCH_SIZE = 50  # 批量训练时候一次送入数据的size\n",
+    "DOWNLOAD_MNIST = True\n",
+    "\n",
+    "mean = [0.485, 0.456, 0.406]\n",
+    "std = [0.229, 0.224, 0.225]\n",
+    "# 训练集\n",
+    "data_path = \"images\"\n",
+    "\n",
+    "train_augs = transforms.Compose([\n",
+    "    transforms.Resize([256, 256]),\n",
+    "    transforms.ToTensor(),\n",
+    "    transforms.Normalize(mean, std)\n",
+    "])\n",
+    "full_data = datasets.ImageFolder(root=data_path, transform=train_augs)\n",
+    "train_size = int(len(full_data) * 0.8)  # 这里train_size是一个长度矢量，并非是比例，我们将训练和测试进行8/2划分\n",
+    "test_size = len(full_data) - train_size\n",
+    "\n",
+    "train_dataset, test_dataset = random_split(full_data, [train_size, test_size])\n",
+    "\n",
+    "train_loader = DataLoader(train_dataset, batch_size=4, num_workers=0, shuffle=True, )\n",
+    "test_loader = DataLoader(test_dataset, batch_size=4, num_workers=0, shuffle=False)\n",
+    "print(train_loader)\n",
+    "\n",
+    "\n",
+    "class CNN(nn.Module):\n",
+    "    def __init__(self):\n",
+    "        super(CNN, self).__init__()\n",
+    "        self.len = 256\n",
+    "        self.conv1 = nn.Sequential(\n",
+    "            nn.Conv2d(  # 输入的图片 （1，28，28）\n",
+    "                in_channels=3,\n",
+    "                out_channels=16,  # 经过一个卷积层之后 （16,28,28）\n",
+    "                kernel_size=5,\n",
+    "                stride=1,  # 如果想要 con2d 出来的图片长宽没有变化, padding=(kernel_size-1)/2 当 stride=1\n",
+    "                padding=2\n",
+    "            ),\n",
+    "            nn.ReLU(),\n",
+    "            nn.MaxPool2d(kernel_size=2)  # 经过池化层处理，维度为（16,14,14）\n",
+    "        )\n",
+    "\n",
+    "        self.conv2 = nn.Sequential(\n",
+    "            nn.Conv2d(  # 输入（16,14,14）\n",
+    "                in_channels=16,\n",
+    "                out_channels=32,\n",
+    "                kernel_size=5,\n",
+    "                stride=1,\n",
+    "                padding=2\n",
+    "            ),  # 输出（32,14,14）\n",
+    "            nn.ReLU(),\n",
+    "            nn.MaxPool2d(kernel_size=2)  # 输出（32,7,7）\n",
+    "        )\n",
+    "\n",
+    "        self.fc1 = nn.Linear(32 * 64 * 64, 120)\n",
+    "        self.fc2 = nn.Linear(120, 40)\n",
+    "        self.fc3 = nn.Linear(40, 5)\n",
+    "\n",
+    "    def forward(self, x):\n",
+    "        x = self.conv1(x)  # （batch_size,16,14,14）\n",
+    "        x = self.conv2(x)  # 输出（batch_size,32,7,7）\n",
+    "        x = x.view(x.size(0), -1)  # (batch_size,32*7*7)\n",
+    "        x = F.relu(self.fc1(x))\n",
+    "        x = F.relu(self.fc2(x))\n",
+    "        x = self.fc3(x)\n",
+    "        return x\n",
+    "\n",
+    "\n",
+    "cnn = CNN()\n",
+    "optimizer = torch.optim.Adam(cnn.parameters(), lr=LR)  # 定义优化器\n",
+    "loss_func = nn.CrossEntropyLoss()  # 定义损失函数\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Finished Training! Total cost time:  167.14745330810547\n"
+     ]
+    }
+   ],
+   "source": [
+    "import time\n",
+    "import matplotlib.pyplot as plt\n",
+    "start = time.time()\n",
+    "running_loss_list=[]\n",
+    "test_loss_list=[]\n",
+    "for epoch in range(10):\n",
+    "\n",
+    "    running_loss = 0.0\n",
+    "    test_loss=0.0\n",
+    "    for i, data in enumerate(train_loader, 0):\n",
+    "        # 获取输入数据\n",
+    "        inputs, labels = data\n",
+    "        # 清空梯度缓存\n",
+    "        optimizer.zero_grad()\n",
+    "\n",
+    "        outputs = cnn(inputs)\n",
+    "        loss = loss_func(outputs, labels)\n",
+    "        loss.backward()\n",
+    "        optimizer.step()\n",
+    "\n",
+    "        # 打印统计信息\n",
+    "        running_loss += loss.item()\n",
+    "    for i, data in enumerate(test_loader, 0):\n",
+    "        # 获取输入数据\n",
+    "        inputs, labels = data\n",
+    "        # 清空梯度缓存\n",
+    "        optimizer.zero_grad()\n",
+    "\n",
+    "        outputs = cnn(inputs)\n",
+    "        loss = loss_func(outputs, labels)\n",
+    "        # 打印统计信息\n",
+    "        test_loss += loss.item()\n",
+    "    running_loss_list.append(running_loss)\n",
+    "    test_loss_list.append(test_loss)\n",
+    "\n",
+    "print('Finished Training! Total cost time: ', time.time() - start)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.style.use(\"ggplot\")  # matplotlib的美化样式\n",
+    "plt.figure()\n",
+    "plt.title(\"loss and accuracy\")\n",
+    "plt.xlabel(\"epoch\")\n",
+    "plt.ylabel(\"loss\")\n",
+    "\n",
+    "plt.plot(running_loss_list,label='train')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy of the network on the test images: 84 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "correct = 0\n",
+    "total = 0\n",
+    "with torch.no_grad():\n",
+    "    for data in test_loader:\n",
+    "        images, labels = data\n",
+    "        outputs = cnn(images)\n",
+    "        _, predicted = torch.max(outputs.data, 1)\n",
+    "        total += labels.size(0)\n",
+    "        correct += (predicted == labels).sum().item()\n",
+    "\n",
+    "print('Accuracy of the network on the test images: %d %%' % (100 * correct / total))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy of the network on the train images: 96 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "with torch.no_grad():\n",
+    "    for data in train_loader:\n",
+    "        images, labels = data\n",
+    "        outputs = cnn(images)\n",
+    "        _, predicted = torch.max(outputs.data, 1)\n",
+    "        total += labels.size(0)\n",
+    "        correct += (predicted == labels).sum().item()\n",
+    "\n",
+    "print('Accuracy of the network on the train images: %d %%' % (100 * correct / total))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/共享单车数据分析/十三组平时作业（实战）/波士顿房价线性回归模型.ipynb b/共享单车数据分析/十三组平时作业（实战）/波士顿房价线性回归模型.ipynb
new file mode 100644
index 0000000..9ce9ee6
--- /dev/null
+++ b/共享单车数据分析/十三组平时作业（实战）/波士顿房价线性回归模型.ipynb
@@ -0,0 +1,110 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "start_time": "2023-07-14T14:40:51.271540Z",
+     "end_time": "2023-07-14T14:40:52.461801Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\Python 3.10.10\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 39044 (\\N{CJK UNIFIED IDEOGRAPH-9884}) missing from current font.\n",
+      "  fig.canvas.print_figure(bytes_io, **kw)\n",
+      "D:\\Python 3.10.10\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 27979 (\\N{CJK UNIFIED IDEOGRAPH-6D4B}) missing from current font.\n",
+      "  fig.canvas.print_figure(bytes_io, **kw)\n",
+      "D:\\Python 3.10.10\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 32467 (\\N{CJK UNIFIED IDEOGRAPH-7ED3}) missing from current font.\n",
+      "  fig.canvas.print_figure(bytes_io, **kw)\n",
+      "D:\\Python 3.10.10\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 26524 (\\N{CJK UNIFIED IDEOGRAPH-679C}) missing from current font.\n",
+      "  fig.canvas.print_figure(bytes_io, **kw)\n",
+      "D:\\Python 3.10.10\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 21644 (\\N{CJK UNIFIED IDEOGRAPH-548C}) missing from current font.\n",
+      "  fig.canvas.print_figure(bytes_io, **kw)\n",
+      "D:\\Python 3.10.10\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 35797 (\\N{CJK UNIFIED IDEOGRAPH-8BD5}) missing from current font.\n",
+      "  fig.canvas.print_figure(bytes_io, **kw)\n",
+      "D:\\Python 3.10.10\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 38598 (\\N{CJK UNIFIED IDEOGRAPH-96C6}) missing from current font.\n",
+      "  fig.canvas.print_figure(bytes_io, **kw)\n",
+      "D:\\Python 3.10.10\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 24046 (\\N{CJK UNIFIED IDEOGRAPH-5DEE}) missing from current font.\n",
+      "  fig.canvas.print_figure(bytes_io, **kw)\n",
+      "D:\\Python 3.10.10\\lib\\site-packages\\IPython\\core\\pylabtools.py:152: UserWarning: Glyph 24322 (\\N{CJK UNIFIED IDEOGRAPH-5F02}) missing from current font.\n",
+      "  fig.canvas.print_figure(bytes_io, **kw)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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7di2eeuop5PN51Go1nHPOOVi/fj0AYPPmzfZrk8kkKpWK/XkLFZJ8hM04SeWjHlL5WFzoVcyHqHy88AL5PWzzW6J7G6xUiigQ84FUqu23PvLII7jjjjuQ8VBtdu7cibPOOguvfe1rsXnzZrz+9a/HWWedhbe//e0YHh7u5IhDh6VJPkSDFzbj1CvDvJAhlY/FhV4RbJZmu3w5EI2S38M2vyW6Rz4UJZDrI2zI5/N4y1vegn/8x3+s+9+qVaugaRp+/etf47777sNtt92Gr33ta/j7v/97bNu2DYcffvg8HHFvIANOw2acpNulHjLbZXGhH24XGXAaXiwxdTcWi8EQzvmkk07CE088gQ0bNuCoo45y/KQpmVIUBaeeeiquvPJK/P73v0csFsNPfvITz89bqJDkI2zGaYlNzECQysfiQj8CThn5kHMofFhiG6wNGzZg27Zt2LVrFw4dOoSLLroIU1NTOO+88/Dggw9i586d+NWvfoX3vOc9MAwD27Ztw+c//3n87ne/w+7du3HTTTfh4MGDOPbYY+3Pe/TRR7Fjxw4cOnQI+gId45J8hO3GSfJRDxnzsbjQK9ei6HaRykd4sYQCTgHg4x//ODRNw3HHHYexsTFUq1Xce++9MAwDZ511FjZv3oxLLrkEQ0NDUFUV2WwWd911F974xjfimGOOwac+9Sn8y7/8C84++2wAwPvf/35s3LgRL33pSzE2NoZ77713ns+wPSzNmI+FonwsgYkZCJJ8LC70U/kI2/yWWHI27phjjsH9999f9/xNN93k+fpjjz0Wv/zlL30/b2xsDLfddlvXjm++IJWPsBknqXzUQ7pdFhf6EfMhA07DiyVGPiS8IclH2IyTJB/1kAGniwv9yHaRykd4IW2cBCT5CJ9xWmL+0ECQysfiQi9iPkolUtUUkG6XsEOcx4Yh5/UShSQfYWPecldQDxnzsbjQC7cLUz2iUWBwUGa7hBki+QTkPVqiWJrkI8xFxqQ/1AnL4k2cJPlYHOgFwRZdLooilY8wwz2PW7RzVsCmbhK9Qbeu/9IkH2F2u0jlwwlxlyTJx+JAL8nH2Bh5lOQjvHDP44BjQNM0AEBVbsrmFez6s/vRLmSqbdiMkyQfTkjysfjQi5iPYpE8snLbMtslvGhT+YhEIkilUjh48CCi0ShUdWnunecTpmni4MGDSKVSiEQ6ow+SfITNOEm3ixO9SsuUmD/04p5WKuQxHiePUvkIL9okH4qiYNWqVXjuuefw/PPP9+DAJIJAVVWsW7cOiqJ09DmSfITNOEnlwwmpfCw+9GKMM/IRi5FHGXAaXrgDTlvYZMViMRx99NHS9TKPiMViXVGdJPkIm3GSXW2dcKflSSx89IJ8sMVIKh/hR4cBp6qqIpFIdPGAJOYDS9NptlCUD8nupfKxGCHeU+l2WXpoM+BUYnFBko+wGSfpdnFCKh+LD/1wu8iA0/CiQ+VDYnFAko+wGSepfDghycfig3S7LG1I8iGBpUo+FkqRMal89Eail5hf9FL5kOQj/Ogg4FRi8WBpko+FonxI8iGVj8WIXsZ8yGyX8EMqHxKQ5CN8xkm6XZyQAaeLD1L5WNqQAacSkOQjfMZJpto6IZWPxYd+xHzIgNPwQiofEpDkI3zGSbpdnBDJmGXV+4slFh76WWQsbPNbQpIPCQCSfITPOEm3ixNuQ7UQ1Y9vfQt4//sX5rH3ArLOx9KGDDiVgCQf4TNOUvlwwm2oFuICfuWVwH/8B/Doo/N9JOGATLVd2pDKhwQk+QjfAi/JhxOLQfkolcgj250vdfQz4FTOofBBBpxKQJKP8O2MpNvFicWgfLD7GLaxNl/oZVdbGfMRelg1qXxILEXyYVnhbtMulQ8nFoPyIcmHEzLbZUlDkg8JYCmSD7cxCptxEnf6clJK5WMxohfp5DLgdMHArMmAUwlJPsJnnKTy4YSbbITtfjWDYfBzWGjH3ivIVNslDVOXMR8SknyEzzhJ8uHEQne7iLu6sI21+UIv3J5+2S5yDoUOpnS7SECSj/AZJxlw6sRCd7uI9zBsY22+IMurL2lYbuVD2rklCUk+wmacpPLhhFQ+Fh96GfPB3C4y4DS0qHO7SPKxJCHJR9iMkyQfTiwm5SNsY22+0E+3i7zmwfHkk6Qg3txcT7/GHXBqVST5WIqQ5CNMxkmWHa7HQg84leSjHtLtEk589rPAFVcAN93U069xp9qaVbnJWoqQ5CNMxslNPmo1UpdkKUMqH4sPMtslnJiZIY89Vz6cc9goyU3WUsTSIx9uYxcm4+S1sC5114uM+Vh86EXMh8x26RzlMnns8TVzB5yaZUk+liKWHvkIc7aLJB/1WEzKx1K/lwzdjvmwLBnz0Q0w9ajH18wynHNako+lCUk+wmScJPmoh1Q+Fh+67XYRr7HMdmkffVI+WLZLBeReWZJ8LEl0RD6+8IUvQFEUXHLJJfZz5XIZF110EUZHR5HJZHDuuediYmKi0+PsHhYa+VjqQaeLSfkI01ibT/SSfEjlo30w5aPXbhca81FGAoAMOF2qaJt8PPjgg/jmN7+JE044wfH8pZdeiltuuQU/+tGPcOedd2Lfvn0455xzOj7QroEZozAaJ6l81GOhZ7swgw4svGPvFURC2Y1rIl5jGXDaPpjy0Wu3CyUfJSTJ3zLVdkmiLfKRz+dx/vnn49///d8xPDxsPz87O4vrrrsOX/rSl3DGGWfg5JNPxvXXX4/77rsPW7du7dpBdwQ2sZJJ/ndYMkqEhbaqkV2BJB/S7bLo0G3lg5EPTSM/gAw4bQd9Vj4Y+Vjy6u4SRVvk46KLLsKb3vQmnHnmmY7nt2/fDl3XHc9v2rQJ69atw/333+/5WZVKBXNzc46fnsJNPoB6aX++QI/DhIIq9Ycu+Ykp3S6LD71yuzCXCyCVj3bQr2wXGnBqkw+pfCxJRFp9w4033oiHHnoIDz74YN3/xsfHEYvFMDQ05Hh+xYoVGB8f9/y8q666CldeeWWrh9E+mDFKJPhzus53TPMJapQNaNBBA+aW+s5NKh+LD71SPkTyIQNOW0e/3C6GM+YDuiQfSxEtKR979uzBRz/6UXzve99DQly8O8Dll1+O2dlZ+2fPnj1d+VxfeJGPsBgogXxULal8AFhcysdSJ5IMvYr5YPEegFQ+2kG/3C66m3zIebEU0RL52L59Ow4cOICTTjoJkUgEkUgEd955J7761a8iEolgxYoVqFarmGGV8igmJiawcuVKz8+Mx+PIZrOOn56CDfSQk4+KJZUPAFL5WIyQbpfwwTT5dey1zTGcMR+KVD6WJFoiH6997Wvx2GOP4eGHH7Z/XvrSl+L888+3f49Go7j99tvt9+zYsQO7d+/Gli1bun7wbWHBKB+SfADwLjm/kCDJRz167HZ57jng9NdK8tES+jhO3QGnknwsTbQU8zEwMIDjjz/e8Vw6ncbo6Kj9/Hvf+15cdtllGBkZQTabxYc//GFs2bIFp5xySveOuhOwiRWLAapKFrewGCiRfMiAUwKpfCw+uCucWhagKO1/nsvt8u1vAy8ckNkuLYHFewC9d7uYzoBTtbbEbdwSRcsBp81w9dVXQ1VVnHvuuahUKnj961+Pr3/9693+mvYh1vmIRMjiEBYDRY2yCVUGnDIsppgPST4IvO5ppANT5HK7/OxnQA1S+WgJYq2UXtscV5Ex1VjiNm6JomPy8dvf/tbxdyKRwDXXXINrrrmm04/uDbzIR1gMFDXKDuVjqZMPqXwsPrjvoa53Rj4Et8vzzwMPPwyshsx2aQmi8tHnbBepfCxNLN3eLtFo+ILSvFJtl7rbZaErH7LCaT28yEcnEMjHLbeQX6Xy0SLmQflgbhfNWOI2boli6ZIPpnyIz803FlKdj//9X2DdOuC223r7PQu9vLpMta1Ht++pEPPxs5/Rj2Tkw7LCU0QwzOhjzIc720Uza/IeLUEsbfIRtkJEXgGnYV2wfvlLYM8e4Be/6O33LHTlQ7pd6uG+p52OcXqNdTUO5gWuiR5led2bo59uF1fAKYDw2jmJnmHpkQ82yBeK8hFWt0ufawL4/h12SPJRjx65Xcan49B1YGDART7kwtYc8xhw2pfvlAgdlh758HK7hGXgLyS3C1tUe02OJPlYfOgR+dg9TtTCt74VfP4A8roHwTy4XRzkI6ybLImeQZIP8bn5hpBqG/o6H/1SPqTbZfGh2zEf9Bo/t4+k2v75n0u3S8voZ2C0Se5/BXGYoPVdwmrnJHoGST7E5+YbQqqtVD4opPKx+NDtmA+6cOb0OMbGgNNPByyofGGT1705+ql81GQxRQlJPpzPzTcWUsDpfCkfYblXQSHJRz165HapIoZjjgGSNI5Rptu2gH7GfHjVM5LkY8lhaZOPEGe7hD7glBkoqXw0hky1rUeP3C4VxBGLkWmtKAL5kNe9OeYh5kNWcl7aWLrkY6EUGQvrpOyX20XGfCw+sHvIutB2Sflg5ENRyEdL5aMF9DHVlsV8qFGpfCxlLF3yEfJsF+l2oVhMyodcBAkYoWSdpbvodmFiZjwuZLzI694cfXS7KHQOR+OSfCxlSPIhPjffWEhuF6l8BIMsr+6EeD+7RT5cbhdAKh8to59uF6p8aJJ8cFgW8P73A5/5zHwfSd+w9MjHAigytiB8oTLbJRik8uGEeP+Y26VL5dUl+egAfU21JQTUoXyE1c71C7t3A//xH8BnPzvfR9I3LD3yEWblYyFFgctsl2CQ5MMJgXwUze7GfFQRk+SjXfRR+WBul1hCDb/C2y8UCuQxTF3We4ylTT4WQLaLWQ3pjkBmuwSDzHZxQiCTew70zu2SSMhsl5bQ11RbGvORWACbrH5BJH+l0vwdRx+xtMnHAgg4rRW9j23e+ZKM+QgGqXw4Idy/gknJR4/cLjLgtAX0MdtFoeQjlpTkw4ZIOCT5WKQIs9vFQ/nQi/WT8ve/BwYHgauu6uvROSGzXYJBkg8nhPtXlm6X8MDtdrGsnn2VF/kwSpJ82CgW5+84+oilSz4WSJ2PWqneMD/wABmft93W16NzQgacBoMkH04I96/ULfIhs106h+h2AXo7z6iaKZIPLzu3pNCp8tFDstgrLF3yEXLlg+8I6icl26QcOtS3I6uHDDgNBkk+nBCVD/SmyBggyUfLEJUPoKfXjCkf8SQPONULUvnw/D0I5uaAI48ELrywu8fUY0Sav2SRIcwBp3ShFVNtveRIZicOHuzbkdWj38qHppHfpfKxsGGPcYX7+7sU8yG6XRwBp/K6N4db+dB1Xoely2DkQ4lqqCkxwAJqHu7lJYVOyMeDDwLPPbfg3DVS+RCfm294KR+VxsqHWxjoG/odcMpWFUk+FjZ60UKgmdslLAHlYYZb+ejhNbPJh6bB0FhgvSQfNlolEc8+Sx4X2DhfeuTDq8hYWG6ah2G2GpAPwwBmZ/t2dE6wa9avgNOFSD7cSk1Yxtl8Qiik1zVyILNdOodb+eiD20WJSvJhoxPlY+dO8rjAxvnSIx8LRPkwVEY+/N0uwDy5XkyTX7NqtbfBTkz5YC6yhUQ+3KpQWMbZfKIXyoeM+egc/VQ+LDKnFU2DEaEKb3mJE/NOyAdTPhbYOJfkQ3xuviEY5niGTErLwwjMO/lwH1Mvr99CVj68yMcCjErvKoQqvl1TJuh1djeWk+SjBcyD20WNqLA0/9i2XmB8HPjjH7vwQTfcAHz72134IIpOioxJt8sCwYIhH2RSKh4xFeI4nZeMF/cx9XLQu5WPsNyrIPCKh5m3IJ2QQBjjvXa7SPLRAvrodlEtHkRuRskNM8v9IR+vfS3w4hcDk5MdfEitBrznPcB73wvkct05sG7EfCywcb60yUfYFjTBH57MsmMLofLhXlR7GXS6mJQPIDxjbb7Q7eaJluVJPmR59RYxHwGnEQ1WpHvkY9s24Lvfbfya554j03L//g6+qFolP6ZJ0ly7gXbdLtPT5Acgc2EB2celSz7CWGRMkKSTg2RSKkudfCzkbBdJPurhFfPRyTUxDNuV5a5wKgNOW4BXqm2PwJQPNarBinWPfFx4IXDBBcAzz3j/37K47XSfbksQx1O3SqG3Sz6ee8759wIa60uXfIQ82yU9RAynVquflOLYXPRul8WgfKRS/LkFZBx6Aq+Yj07Gj7CKSLdLB+hnkTEWcBrRAOp2sbrQQJPZQiYEuCGGXHWNfHSrtka75INlujCEZS0LAEk+xOfmGwL5SA2RSamaIVQ+3AO8H26XhZztkk7z5xaQcegJuh3zIclHd8CuY7RLGUgNIAacIuaf1dcqmF30O3TRbnZEPsQv6AX5aOUzWbwHwwIa65J8iM/NN7yUjybkIxTKRz/dLmG5V0HArksiASgK+X0hHX8v0O1UW7qKmFBgQJPkox0YBr8HmQx57IPbRYlo9rzulHyILpWek48wKR9u8rGANjdLj3yIRcZCGnBqQMPACDm2iBnCOh/S7RIM7DrFYuEba/MFr4DTTq4JS7NV4gAUST7agbgSDwyQxz5kuygRDQq7YR1uYGo1vk/x+yjxNBct+VhAY33pkY8FonwMjJJJGbFC6HaRAafBIJKPsI21+UKPYj6qtEmdzHZpA+JK3EflQ41qUOKxrnyfeApS+VgYkOQDCM8NE3aFTPmIoVq3XoXO7SKVD28wCyfJB0ePYj6qChkfMtulDTCDoihAMkl+70OFUyf56GwDI9rEBUk+xIML+pm1GvD88/XPLRBI8iE+N98QdoWDy2jMB0zkZp2FqcRxWih0L9srMOZD+VjIAaeSfHB0O9VWaCoHQLpd2gFbiROJvrgHbeUjokKN+xdTbAVByEfX3C69DjgNatD37CHzKR4HBgfrjy3kkORDfG6+IVY4zcbsp+cmnQPKnRXXd9fLfGS7LETlw4t8LCDj0BN0u8gYKzBmSfLRNphBEclHnwJO1QSrZ7TElY92yAdLsz388AUZkL90yUcYi4wJ5EOlKWgAkJt0TkxRJQXmwfUiy6sHg1Q+6iGoe910u1RQ73aR5CMg2Eocj/eeJFsWVJBiG2qUkw+1Q7dLqzEf7g1cSwgL+WDxHkceuSA3N0uXfIQ824VNSgDIT/MBJVSTxsqV5LHvyocsrx4MknzUo9uptvQal6nywaa0DDhtAf1UPoT5q0Y1aEmqfBidfR85BQsqDF9z1BPloxcVToMSGkY+jjgifGtZACxt8hG2BUEwzFpMs58WyUelAqgwcBZ+hRetmgKwyMnHYsl2WYDGoSfodsyH0NcFkAGnbUFUPno9ToXGiiL5ULvgdvkOLsAubPBt9hbaVFvL6kz5OOIIqXwsCCyAbBcDGiJRBbpCDEFxhk/Mchl4M27Fr/AG/N2hywDMv9vFKMtsF0+w6yTK2b1eCFn96LCiRzEfVel2aR9UEpipJHDXfT22icL81aIqIkkaWG907nY5C7dhLfYi88IOz9eUy8CF+E98Bp9CpdzBPOk2+XAzoU7IxwIa60uLfFjWglA+TKjQNKCmEksqKh/lMrAOuwEAR5YeAzD/yketKLNdPNFvt4tlwTzjTJgnv7S3alQn6HbMh8x26RyUfIxPxzEx3V+3SyRFblin5KNcBhIg52GVvWWNchn4F3wMn8LnkDn4nOdrAqHb2S5ustFOzEcfAoW7jaVFPsSFK4zkQzDMmgaYGlU+Zp3kI40CAGC0uAfAIicfi0H56BP5sMoVqL/9DdSHtqPy2/t79j0docduF2aDJfloAfQa5vRE711VPuQj0gXyEUeF/+GBSgXIYg4AYBU6IA3dVj68yEczBXN6mnfQO/zw8K1lAbC0yId4Y8JIPsSYD4F8lOecbhdGPtKFg4ij3He3i1lxsmu92Ae3y0KMmehzqm15mhuxF771K9/XXXst8M1v9uwwGqNHvV2qiCESAVRq0UTyYeoLaMw0QU+GD12s56qJ3gfpushHNE2VD49Kzq2gXDQRB51vfuSjaCAG8j1muQOy023y4T5e02yuXL7wAnkcHSVdsxegfVza5CNsN0yM+YgAZoRMTD/lAwDWYG/flQ+30lEryYBTT/RZ+ShNcfIRveM2z9cUCsDFFwMXXdRhumG7EFyL3Xa7xHiCmCPbxexlTFIfceONpPXKT3/a5Q+mBK5Qi3eHEDaCK+CUkQ+vHlatoFZoHk2q5/nzZieN7HqkfMwiW/dcs/cglSKPYYtfDIClSz5CWOfDcikfVoQYgkrOqXykwAf8fJAPw7VrMEp9UD7iceffCwF9Lq9emebj4rADD3n644pFYv8No3slClpCj3q7uMmHmO1iVsMxvzvFXXeR073nni5/MGWhZfTX7aJFFETT/g00W4GeF/NovVm1UeDPd0RIe0Q+5pCFwZbkZuRDzFACwreRDoClSz40LXxsseYkH4gSa1rO+Ssfa7Gn724Xo+gmHzLg1BN9TrWtzHCDpcLC5A/+t+41XSu01C56FPNRRcxBPjQNMJXF5XYpFJyPXYNA4PrldqlRdTdGlY+o1aHyIagaio/yYRb4/LA6UT56FHBaQhIlJB3P+cJNPsK2lgXA0iQfqkp+wqZ8uMkHrXLajHxMTfV3TXb7SzvynzaDDDgN/nWzToM19f36uA/RLoeGfPTA7QIASpRcc2uRKB+MdHRdsfJSPnpMPpiNY26XGPSO0sTNIh/MarW58mFVw6d8lJBEEalgnyuVjwUGMc1WfAzJDWPkw4RKDo0OKFFZ8CIflgVMTvbvON1ko6d1PmR59eBfN+M0WKMP3VZn0MOifHQt5sPH7QJw8iGVjyagA6GCeN/cLox8xAeEm9bBd4rEQqn6KB8CQQljzIdUPhYz3OQjZAuaZThTbVm76VrJX/k4IkrSbfvpepHKR0D0mXzoc8RgPYHjUEQSI+X9MB553PGaeScfHjEfVo/JhyXJR2PQa1hGH7JdXOUE4hnew6qT2jRGkRMOP+XDsaB3i3x0o7x6N8hHyNayIFha5INNqLAqH65dgULdLqKy4CYf65X+1/pwp9p25D9t+mWLLNulhzuTWo4YLD09jHu10wEAL1zvzHoJpdulk/lHr7E75gPg8wedSOwhQq/dLg7lo8duF1ZIUVQ+OtnEBHG7WKUArW+DwK18dFpVuB3yIVZPBqTyEXosELcLIx9qvLnbZbXZf/LByEaB+ifdZKSrWAzKR5/Kq9fmyKpUiyWx57jXAwD0/3GSj3lXPgTy0W23SzTq/JdUPgJCUD766XaJRIBEJsIPI9c++RCJhap7u10c5KOTCsDitRE7fbYLL/IhYz4WGfzIR1jYokA+VBV2Z1txcXeTj2xtGikU+up2YeQjj4zj755gsWS79IF8GHlixIxoEulzCPlYs/NOh6ENi/LR7d4uXm4XNUbJxwIyyI3Qj4DTfmW7sA1WIqmgQvvyVPLtf6dILDTde2ArZUFN6OT83O/t9IbQ6+8IOJUxH4sMYVc+6MS0VA2KAmhU+bCqVXsNdpMPgASdzo/ykSZP9LKPyGJQPvqUamsVicGqxVJ4xbs2AQDiVgWl/TP2a/qifOTz/ufpVeejR24XRj7CMr87Ra+UDxYv0U+3CyMfkQhvCqgXOlA+hH4uas1biVCE+h+K3iXlA+icfFCiUUZCxnwsWrAbw25UyMgHUz4sVQMAu910FLo9vh3kY3AQwDzU+qi6lI9e+tS9lI+wd25l6LPyweoYmPEk1m9QUKSGrHCQG8eeKx9zc8D69cDrXuf9f4+YD8Wy2ieVAZSP0MzvDtEr8lGe6WORMVfAqaLwYnDVfCfkgw/miJ/yIZAPtRY+8tFWwCkb9FL5CDn8sl0sy1H2d77AlA+FNqjQEuT4otCRz5PXVPNVREHP49hjAcyD8lF1KR+d7CKawa18AKG4V4HQ76621Aia8SQUBbaEK6bg9lz5ePppYGoK2LbN+/9eMR9A+0azAfnQ4uTzldrCMch+qNX4cOq226UyxwNO++V2YQGnAKAr5MZ1Qj5EYhGpNScf6GRM9IF8GLnGn8mUnl37pfKxMODndhH/N5+gqbZM+WDR+jFU7d2OmRO2PRs3AiDkgzU47AuoYeJulz4GnIrPhR19Lq9uUSNmJQnpKCv15KMvygdADKrXAuYV8wG0v9g1crvE+2OQn3uu93xYVDtYifxuQc95BJz2ye0CADW1u+RDM7zdLlpVqADcgfJRV66/i+SDbRiKk42Vj+lxco6/vEPGfCwMNCIfYbhpbFFlszLG3S5M+bDyxAoZagQ44ggAhHwwm98PKC63S0f+02Zwp9oCC4d89DnVVmFSbZLsnsoqMWQsCwbog/IxO+v9O4NXzAfQPkEIonwYvSMfP/sZmYb/8A89+woA9a6Wbt67Gi3QpcT7W2TM5uNU+eikO7ZYUj3qo3yIgaiaUW3be6uXe698iE0ivVClhHGmHMfUFKTyEXqEXPkQA04B2AMqCp0bH/qLHksDa9cCIOTDy84HQTtZYoxsMOVD6cR/2gwLWfnos9tFLVMjmKLkQyPkQ5/tvfJxzTXAz3+O5uRjPtwuPSQfjzxCHh9/vPHrOoWbfHQz7sMskWs4vKr/2S4AVz46CThVBWIR8VE+xNdEobcdJ1/XSLMX5GO6MflgbpcK4njmGSx+5ePaa6/FCSecgGw2i2w2iy1btuAXv/iF/f9yuYyLLroIo6OjyGQyOPfcczExMdH1g24bfkXGgFCQDz/lQ3S7KEXySy3uJB/tKB+33UZadH/jG629j5EPW/nopU/dHXAKSPLhA7VCDJZC22xXKPkQ/cci4ehGcUaAuB0uvhh45zuB2pQwEJuQD0BBDczx3323Sz/IB3N35nI9+woAvSUfbFCMHtZ7twur4izGfNQ0Wsm50H69DE0oLBY1vFl1VOcDPoZq2+TbcLtdOp1IHuTD3SrBDV/yEYZ1LCBaIh9r1qzBF77wBWzfvh2/+93vcMYZZ+Ctb30rnnjiCQDApZdeiltuuQU/+tGPcOedd2Lfvn0455xzenLgbcGtfLBwa/F/84kGygdzuzDyYbjJx2zrGuL99xMbc/fdrb2PKR2MfHQUOd4MXspHGO5VEPQ51Zb5tNU0MWB6hAav5XvrdhkfJ4+FArDvyeDKh6qic5m/gfIRSZB5rpqLj3x0M+iU9UJZdljv3S6m7q98GB0UKxQLi0VNbxIjBqJGobddG8ys9M7tUrFdpcGVj507we3LAlI+Is1fwvGWt7zF8ffnPvc5XHvttdi6dSvWrFmD6667DjfccAPOOOMMAMD111+PY489Flu3bsUpp5zSvaNuF27ywX7X9XAsaG7lw8PtopYo+Uhy8jGAPJS5WZjmENQW6CT7zFZVE9Xldukp+VgMykefKpxGdGIE1QwjH7QCbZ4bsl64Xaam+O/7d8xiHfujQcyHCRWZDKDPRZFEuSdul0iSjBnV6J1B7hf5cK9v3VQ+WCzEivW9d7sYVaJ5ieTDoMqHWWrfjojxHFHTe2BHBEUkhmrb5KNO+ehikbHkSBI4xAsG+sGquJSPYxa58iHCMAzceOONKBQK2LJlC7Zv3w5d13HmmWfar9m0aRPWrVuH+++/3/dzKpUK5ubmHD89gx/5EP83j1BYqq1Gb4vgdmHKByMfZiINpFKwRkYAAGuwp2WDxD6zZfJhuJSPXhl3y+I1PTQNNrNaYOTjV3fEcNtv+kE+iMHSBmisR5SRj94qH2Km1dRzwd0umQw6X+yoEfZyuyxm5aNb5EPXgRhdrFcf3vsiY17KByMfYqGwViGqGjEP8lGrAXGrO+Sjl9kumTGycWA1e3xBbYtNPpZCwOljjz2GTCaDeDyOD33oQ/jJT36C4447DuPj44jFYhgaGnK8fsWKFRhnuqwHrrrqKgwODto/a+luvidwFxkDwhWow3b5DZQPrUJrOaRommsHcR9tKx80xqMWI8egGT1SPsR8Qk3j12WBkY8rPh/DHff0fpxFa8RgRQeIAavFCPmwis6A0w/hWnwA3+yJ8lHcH9ztksmg88VOMMJLiXx0y+2yfz8QB1mFx9b2vsiYSD6Y6TWZ8tFBYzmHqmHVs4pKBUiCL+iduF0st3uoixVOB1eyImONP1OpuNwuYVrHAqJl8rFx40Y8/PDD2LZtG/7qr/4K73rXu/CHP/yh7QO4/PLLMTs7a//s2bOn7c9qipArHzC9Yz5E5SNSoVaIkg+Fko812NtyxkunyoeZ7DH5EEmGqi5Y8vHCwRjf4fdwnMVqxGBFs07yIRpHK5fHNbgIX8dfwyh0h32Iykeq1ib56ELMh7uxnE0+LLNnhThE8tHLwru9Uj5eeAFIgIyDaKb3RcbMWn3AqRHpBvngTMJL+SiX+XkCHSoftFGhCRov2EXlY2gVmbsseNwXVT7uJyaAsrHwlI+WYj4AIBaL4aijjgIAnHzyyXjwwQfxla98Be985ztRrVYxMzPjUD8mJiawcuVK38+Lx+OIs/r0vUbYyQdzu0Tq63wwY2OTj3T3lI9Wd22MbFjpDDALaGaP2Laf8hGGe9UMhmHfz0KtP+QjblDlY5BmuSTqyYdWmIMKC4AFq1AEkOj4e0XlIwthEM7M1L9YKDLWFeWjgdslmhTmuWGgpYCogGDkwzTJZWbTstvolfLxwvM1bAG5J5FM77NdvNwuZoTY/3YbVLpdKnEP5cNNPjpSPqjbZQ5ZDGG2q+RjZA2Zs2JBNC+oAvkAgIPTEawFFrfy4YZpmqhUKjj55JMRjUZx++232//bsWMHdu/ejS1btnT6Nd2BF/mg26Wnn5z/BU0JEHAa1ekvGWrl1qwB0B75aFf5sJUOamkjplQ+6iAUEaiiT+TDJAYrNkj9xnFiyFRBwlUKeft3Vt+hU7AFeGwMGETwImMdx3wIBM/L7eIgHz0wyrruJAW9dL30SvnYv4uPgX6TD8YFTap8tEs+KhUnsYijXvlwu106UT4snZMPAF0lH8vXk7kbrZUaKmmK7iQfE9OLXPm4/PLLcfbZZ2PdunXI5XK44YYb8Nvf/ha/+tWvMDg4iPe+97247LLLMDIygmw2iw9/+MPYsmVLODJdAE/yUUMEEQCXf6KGH//5/ByWDdO/zgcjCjFKPlRGPlatAgAsx4GW3S7MgFUq5CeoAMXIhjJAAk57pnyIJIO1wHQ/H1a4yEfPK0cCSFjECMaHKPmgyodSFpSPEicfYhvyTsCUjz/9U2Dwuj66XYRr7Ek+Ul2ooNoA7pYGuRzQQOTtCL0iHxO7hRTVTH9TbVmVAytKb1ybbMCtasRRJT4w9gUer+kG+ZjFIIA9HZMPq1SCAkI+VmwgczdhlZDLAdms93tYajHrCDxxaJHHfBw4cAAXXnghNm7ciNe+9rV48MEH8atf/Qqvox0sr776arz5zW/Gueeei9NOOw0rV67ETTfd1JMDbwvuImMAdIv8Pjc1/4xRMV3ZLh7KR5yRjwFKPgYGyANyLSsYaycfxiM4AW/CrcF3bYZBfOgAtEFCPqJWZ8qHb6VB0e2ygJUPHdGeKx+WxXd2iWEatEaLjakC+WDZUkD3yAdbhM880+V26XXAqbB6eLldYqneFhH0Ih+9Qq/cLpMvkDFgqhpiqYg9Tq2exXxQt5ui8eeinSkf5TIPmmVwZ8501e3iUj6I+7JNmKYdPFpC0g44TaGIAwf836a6lI/9hxa58nHdddc1/H8ikcA111yDa665pqOD6hl8lA8A4WCMPjEfovIRN4gV0rKdk48/mb4FJ+AxvAM/xNzcm7FsWYA3CYtqZJAcQyfk4xvfAC65hJTmfu1rXf90Kx8LkHyYWgSWofacfJQLBpIgYzg+TGM9aI8XTQhei5QF5aOD1EYRTPlYMWZiAMIK3IB8sJiPjuafS12qIx8JYW+1yMhHt5SP4hRZkI0ICdjteYVTGnBqKfze2MpHm/XO3W4XADAKZUSSCcdrRrvkdmHXhpGPWq4kdilqDULKWQlJe+4mUcLEBEDDK+ug1cjBZ0biwBSw70CI1rGAWNq9XQDo1PjV5W7PAxTLlWpLicUgZlEoECEgabrIB9Xlsphr2e0SrxC2kkYhOHERBndsmGa7wGybEPzv/xLDcN99Hv9cBMqHQas39prkil0wkyNO5SNS5TszO2AZrhbjHYAtwqOxHA1mpWgS8zEw0B3lo6rEACh15COeUOz53Q/y0csSRYxsDA46/+4UpRlyDa14ArFYF7KPmoC5XUTlw4qS3Xu7DSrdqgYA6PkeKh/02uRA7LPYuLFlCOTDiift6sRJlHFgwj/og5GPtUeRa7d3ooX7lssB99wDPPVUmwfdHSxN8iHk5Okm7f9g1nreFrsZ6gJOR0fJAyaRzxNbmwaxOkx1aFf5sCwgoZOtWgb54O8VdieJUSG0v81F9eBB8uhpTNn1UBTys5CyXeh10t3ko1fKx5RAMDJkx6ekKfnQ+f+ilbzwps7Jh2UJ5CPqGkS9jvmgqwcrz11HPuK9ve7zoXwsX04eu+V2qcySMWDFiPLR81RbD/Jh37gOyIfb7VLLl+te4475aHv415xuF7F9QcugwaY6IoinI7ZaCXCXmBdYavH6Ywj5GJ9s4b49/jjwqlcBr399mwfdHSxN8iEoHxWLGL8Iam13OewaTJfbRSAfhQKZQIx8RIfqlY9WyAf5LLIQtaR80ItUg4bkcKLu+VbByEc+7/FPd9G1Bah86CoxDj0nH9MsYj5hp5SqGUI+ooLyEavyC61WOycfxSK/9UOKk2xYXYz5eOIJDy7Dmsop5Bq7yUci0Vs3wnyQj7Ex59+dojJHFjElkYCqAqbaa7eLP/lg6aOtwkv5cDep62bAqZt8oJOYD6HAWDIJB/mYfsH/cxn5WHZY3KkgBrEvk5Pkka4v8wVJPgzyexjIh+JDPoYwg2LOcJAPd8xHHFUUZoKfQD4P2z/fjvJRRQyZYa4gWdXOlA9P8sFIBsvJW4DZLiwavdfkozJDjZjCjZdNPmqC8lEV3C5tGnsRbAGORICUTtjBtDJMPr9UqlvErDZiPnbsAI4/nnTNdcB2u3iTD6l8NIZlAXqOLMhKiqplMTKnFcPoSdU0FnBqieQjTm5cu24Xv5gP92u6VeFUqYnZLmhajbQhhDTbVApAJIIaJYCz4z61PizLJh9aKo6jjmo+j2o14K//GrjxRkjyMS9oQD46GYzdQh35GCZGXIWFSH7GQT7sakaUfACAPhnc+hUKnHykUQhuOIVFdWBIg0GHkF5o3XAYBp8Hi1X5qJjEsPbal85acFfUevIRE8hHotZd5YMFmw4PA0qOMNip1Br+ApdcwVqqt6J8PP2089GGXWBsEZIP14e5yUc3lI9iEYjQDrBqksZdRHubIeQVcKrEOiMfXsqHUXQa80qhhij4+XSkfBhO5UPMJmsZAvlgoocRI7/MTfiQD8OwY6siaUI+mtmX3/0OuPZa4BOfgCQf8wIP8lGuhUT5sCw7hVVsLGdmCLlIFidRKnmQj0gENTpYzZngfpduKB/ZLN/ZV3KtX7zJSb65CqR8LEDyUbb6o3xUaQvuipayn2OVTuMGN45xgXxEzXLHh8MW4JER2ETDGBxFAfQ43OSjxt0uQeViNjbqxojtdpnfmA82PLtGPm64gUSW/td/2U/1wu0yPc0XbdWlfADoievFdruoovJBiE+73bHFmI8iaGsBV8yHOwC1k80m623FyIcY0N0y3MoHADNOziF/0Id8CAceScdx5JHNlQ/6Ndi7F6hNSPLRf3jU+SjpnHzMq/LhLiXOMEJdL+YkZmc9yAcAM00IijXXvvLRarZLFTEMDHDyUS20bqiYywVoUflYQAGnJaM/5KNGyYce4cpHJEusWcIkxtGygITBV604Kh2PeVH5YEQjMjrIJekG5COo8uFLPoS+LsD8kY/Vq8lj18jHAw+Qm7Vtm/1UL9wuMzN80VYoAXCQj54oH/VuFzVBYz7aJB+VsoUEPY85hYw7t9vF3aK+E+VDoY0K8yohH7Faqf3eQR7kg0kgxUM+N1k48GjG5XbxuWfixjq36xD5JVBthd5haZEPl/JhWUBRD0nAqTB4bbcLAGUZDzqdnPQhHxka+NRCxGmd8jEb0L/LAikRRTLJF49qvvWL15R8LGTlgxUOcpOPHgXysXQ/XasnH1FLB2pkfGfAL3QC5Y4TXhzKBx1/iRXNyUcrMR9sUS8WXbeeHnzFIgunu7Fcv8jHunXksWuptmwyCGym18oHElT5EN0uPRirdraLoHwoNOaDpY+2ClHVyKlk3LlbB7jJSEfkg7pdoiNC+dF2J5KH24VlqRUO+ZRYpwduQEUsFcGRRzYn8eLT5b1S+eg/XOSjWASqZkiUD8GqqtF68jGCKUweMJBkxiLF5XUW96EW2lM+VFgoTQecPILbJRYDdCp5d0o+PI2pW/kIU8Bps8WszwGnbGenR/m4YD1eAAClEiqVevJR8lF2ETDg0Ev5GFiTxQyGAAC1SVeKil/MRwC3C+AaJ3T7XwAh4o2yXdoNiG4EN/nomvLharrEmtYB3Vc+bPJBlY9IXOPdWnvodvFUPtrsji2SjzwjH0VX9ovLDdOR24WSj/iYQD7avSEeykeMdqU2CiXs2uXxHkHxi8cJIW1F+TAOSPLRf7jIx8GD/KbNu/IhLKii8kG2lET5mN0vDHBB+VCHyCTQSrnA6l8+ZzkWIn3aS3rwgLCoxuOcfNRKPXC7hFX5+Ou/BlasAMbH/V8zT+SDxf8AQHxQSIUuFp0By2igfOg6SS85/fSm3+sV85FZPYi8RhaBg88Ec7uYDciBODYcCzxlIgWLBtY2cLvUyr1XPrpOPugHiveomwGn09NCfQyqfPS60BgLOBYDThn50NokHyKxKGpkI+ZWPtytBLrhdhleGUeZuvz8WXwT0JsrKh+80FgJ997r8R6hk3M8HiylXHxanZHko/9wFRk7dIgbp3nPdvEjH0Ktj9w4sTgmFEc+uDZEJlwWc4ENYGWq4KhGqc8EtGYu5cOgaWHtZLsEJh9hy3a5/Xay5X/0Uf/X9Jl8mLTWgCmQj0RS4YGfxWKd8hFHxZt8jI8Df/wjcPfdTVc5h/JBd+rK0CCsAUI+Du10Z7swt4uGVIpfF4OS15tvJl8tQhwbjnFCd5s5y1v5EMlHtbgAyQe9nuItYG76YpELU088AbzvfcDzz7f2NV7KR68LjdnKh+B20ZLkxkXaJB/MpVLVEqhQt6ObbJgFQg6qVBmMwEC13F6cBmukOboighINcO2m8sFsewpF3HOPx3tcykcy2ZryEc9L8tF/uJQPkXyEVvkQC40dIFaooqUcHRs1qny0UuVUn3JaSmO2PeWDVZfUi50pH6x8vAPsibApH4ylNjI4LvLR61RbixpXI8HdLokEUBTIR2DlQ9zFTUw0/F62AItuF2SziCwj5GN6l7fyoWiqI2aoVtLx8MPAn/0ZcMEFzu8QF3Uv8lEwvZWPWIzPb73Lyoeu82PpF/lIJoEM6eUIy+KKyFe/Clx3HflpBWLAqafywcjHzAzwm9+0H1QpgJFPkXywNF/N7Ix81LQEdI2ch1v5YG6YSpy7StpRawFApcrH6IqIPb/MdqucesR8sF+aKR+MfDjci02VDwuZiiQf/UcT8hEW5UONCLdFJB8HyQAva2nHW1nMRytVTmvTTktp5YMpH6zzpFv5qBU7Uz4sy0O59FM+5jvbhQ2URlIrq/OB/lQ4teixWHGufCSTnHxYhXrlo5vkQ3S7YHAQyRWEfBT2ecd8WKqGSAQwFDp+yjU88QR5yd69zrc0c7v4KR+qChgKdbuUunvdZ2b472vWeBxbJ3C5XRj5SKedoV7s+f37yePu3a19jVfAqaO5HBurl11Guj7+/OetfYEXGigfUaM9A8xqetQicdQ0Mt/cygf7u5rg5MMotUd2NEo+xlZz8pE/0Bn5KCPB722KN5d7/PH6ejIi+UgkgikfjHykUETcotdZko8+wiPmg020MCkffuSjMkWsTTXiTT4GkAvcXM6YcZGPXDDlg+0WmPJhN07rkHwAHq6XRaJ8pNO9z3ZR6LFYgjtOVD70WaJ8dJt8eLldkM1iYC0hH9WD3m4Xi95LK0Lmn1HW7eA6N4Fu5nZh5+gmH4BAjtvc5fqBLQgDA3ZYVs+Vj3SaTAHKE+zn2Tx64YXWvsahfMR5unLdWGU35plnWvsCD3jV+bDdLm12x2aqhhFJoEaVD/fAVso0IDspkI9ym8qHRdaR1EAEZZWMvdxE95WPtaPkf/ff73qPS/mIx5srq2xtGwVRPaxolMto84QlTT5CpXzY3T5VaBHuUmGWbQRTqE5T8hF1kY82+ruYsy5LWQymfNRKPNU2FgMMjRiOdiaym3zUhRe4lY+wZLswwxZA+agihjVreq98KBV6LElvt4s+W3Q0JgQaxHyI59UoqBb+ysfIBpp1MDPrTJqpsSBi5z2tlXU89xx5qlh0XiZftwsLOPXJdgEAU+mN20V0N7Eiw+Vyl7glO8lCATAMe15sjD4LXHopjorvAcC574ED5NGtGDWDl/Lh6XZhB1C3BW8dLODU3lBAIB9tul2YqmFEE6hFqPLhNuZ0oBuJNCzqsjbLbSoflHxEU1E7u6wb5MMd83HMGvKZdXEfLvKhqoAWI+NcMU1P9xi7lYx86NllDtf9fGBpkQ9XkbEwxnwY0Bw1xkTlozZLyUfMX/kISj4s1zZNK+UDuXSZwsHcLqbWHbcL0ED5CFvAaYvKx2GH9Z58qGVGPrjyEYtx8lGdKaJSqPFUbfRA+RDIx9hRhHyk9Fknf3ETShr8bVZqjrRCcRz7ul1cyoe7zgcAmFpv3C5e5KPu+NqBZdVJPWztvzB3DfDlL+MD5jcAdEf58Ao4rdtFd5V81KfaRtPU7dKm8mGTj1gCRoTWK3EPbPq3FU/AjJDv65h8JCMwYmTs+RYEa4YG5GPDSvI/d9yHVXaSDwDQEo2Lw7G1bRlIgbFCcn5dLsBSIx8NlI+wZLsY0MQCrA7yYeaIEai5yUeWB5wGdbsoeaeVTKPgnXHiPkymfCgx4lNvcyKbJrn+AF8v674/jKm2tRonRQGVj76QD6p8sDQ9gGxsmCxcmyvWZTR1Sj5Mk8c+iEXGkM0iSgNOBzHryF6xTFcLAcoYjIoeiHx4KR9FpKBpzsLA9vepvUm1FclHNGqv3Z2Tj0rFOb7n5niBMYtIHGsUwjKKRbKmsu/M5VordOYXcFrndmEXXQx0aRc1F/kEKREOdEA+6GJsReMwqPLhNuZsfliJpO3qMyttyFSWhQjIOcRSETvAuzTZRbcLZSHM7fLAA646HSUeT8bGXSTRuDicW/mY1ST56C8WQJ0PP+UjjSKGTDJwavHOA05VF/kI2t/FoAoHi/WwIu25XWZmuI1dv548dqJ85HJkh9CDRpxOiEYtoPLhcLv0qFso6y/BmsnZh6GxXhclGHNO8hHI7dKAfMzO8lMZTpa5hRwcJD8gHZkdqbOubAdWUdMo646ASXEsigu6l/JRQNrT5QJw5cOo9I58AFz96Jh8uCdBLmeTj0HMAADGQEhIoVCvHrbiepmeJgGIAOwdQK/dLu77DwCRFO3NY7W5+6OD2IwlYERpzEfFObDtJorxhG2zWPB8SxA2D7FUxHZzlqc8bMH4eP0NcqOB8jEUL2HZMnJ6Dz0kHELBGXAKAJFkMOWDkY+DliQf/YVHnQ8x4DQsyoeDfAwOwqAS5VoQX6+R8Fc+gpIPrdge+WAKB4v1MNkuokXlg83JbJYHXQdWPjwm16WXAn/yJ8AvftHSYbQOcZA0Uj6EQkCHHSYYdKAnyo2mk2PRMknH89UIsWjGXLEunbpT5YOtRakUEK8Ig2dgwCYfbuXDvfNlvUQKM7pjw9aq8uFHPpjysWDJh6B8DBrkS8dMck8KBR7vwdCK62Vmhi9GLLbM0+3CjqkbbhePbBebfKDN3V+Fu1QY+VDcygclH0oyAYsOlraUDxf5YKXQq7Mu8lGtAps3Ay95SeMUZY8iY+wXpVTEqaeSp8S4D71Q73aJJoMpHxsGyP3eX5Hko79YAHU+TKhO8qEoqCSJhVsHsjU0kv7KR1C3S6RU73YJpHxQya9GyYcVbc/twsjH8uU86LoT5ePZZ8njk0+2dBitQ1yt24n5AHrieok0IR9mvliX0dQp+fCM9xgYIGTRj3yY3jEf+WnnNWFjUdedfM+zzkcD5UPMpvHDnj3Ali2kmWxQzIfykTFmAAAjOrknxWL7yodhkGtskw9avazO7WIYfMx3g3y4M9gAxDLk5sVRhVFrXRVkRMOKx2FGaYO8qo/ykeJul7YMvot8qAMsoNu1EZmeJgvMvn2N+740UD5QKtnkQ4z7MCj5qCpxexrFkyoMtpx72BdGPo4cJPf7+bwkH/2FQD5Mk7R0D022i1/MB4ByhgwUpnxYPuSjFeUjWm5T+aC7BZOSD7TpP2VGc2yMV4pvqnw0yHZhPKCZytkxAiofYmBuHfnoQbptrEYuQDTrJB8sGt/MF+2YIYZuKR/uYFPxMYUSdv5ROF/DGfOhxqnyMeu8JmwseqzFHELAqVewKQBYAdwut90GbN0KXH+970vq4CYf2dZ7O3qjgfKR1mcAAEPVAwCsjpQPdrtYACKTH+vcLmIKWjfdLsIOiwWcAoDeRmCwwlwsiQSMGFE+VBf5YORcTSZ4WlSn5CMdRXSA9mHJuTYi4sRq9D0NYj5E8rF1K3+LXddEjdvPOWp9eNgXdghrkpR8FEa70h+oEyxZ8jE9TTbWYsBpGLra1rldAOgDxDAw5cNKdZ5qG68SK26kiOyQRiHQro0pHMzdwiTMVv2nzGiOjXHloy7VtgXlwx353zMEjPkoz9HrpMUwOtp75SNmECMWGXTGfNSivMiYe2ELFPORy/mSLKZ8uINNHY8AlDlBjnMpHypNESzPBSMffqm2/spHc/Lh0US2KebD7ZKuki+NWjqGMNNRzAc5fosrH5R8ONwuPSQfENwusQG+iFZyrRthm2gkErCo8qFWnTtJrUbdLqkElGj7zQYtnY+jeEpDbEiYXyLEOROAfDiKjAnKx9q15Fc21wBOPpjrG3D1d2mgfIxY5H5PYtRObZ8vLFnywTItIvHwKR9u8lEbJIbhMJBtTR35oJYvgQry08EmVFyn5GNsFYDgygcjGSxoi1n9VieyqHz4ul1ayHaZF/LRQPlgXX5jGVqMDcJN7QH5iFPyEXMpHzWaCmgVi7DoBa5QV0wg5QPwVT8aKh/RKEwajJfSBfLB7h1tIcCUj1rF2+3SkHwIyocf+WBqmVltTj6CZHsx9NvtEkUVMZ0vcMtxwOF2YXMoqPIxM0PmfJzFWXi5XWo1J/moVNpvHc/gTrWGS/nIt26EVV2I54gnHM8xRCj50NJJIE6+T9FbJzqsjUQNGuIJBfFh3r7AgRbJh1fMB4pFWxWuVrnZYKXjWU0T9pYgykeqTMjHISyzXdXzhSVPPuLpcMV8eJEPc5iQDw1UCch4kw+gvnKpFywLSNbI66yVKwEEj/kwK0z5oBM42p7/tCXyEaC8+ry4XRooH6zRXjRDgsIsNPbJdoqERY4lNugkH0acGEelWITClIIEGU/dIh/uAmMMJm0ul6zWkw+FKR+0PkEUxGAODZGXsY9zL+Ze5dUXNfmgyscgnMFcKzDhcLu8+MXkMajy4Qg2jcdtqb/O7eI+nk7VDw+3ixrVSLNMtNegUtXJnFQTcVixuOM5hliNxkSlE1DYhknXW048Yw0Ka4iQviojdH6VOycfXsqHVzl9g5IPQyAfQZWPVJEsfJMYleSjrxCKjNnkIxO+bBd3zIfF6jdTKGkX+YhGbV+nOdOcQVSrQMYiVlJZ3ZryAUY+aKAp20X0hHy0UF49bMoHM6KJbMyOSO9VrQ/TBBIWORZ7J0bByAdKRahFcoGLtMBQILcL4Es+/Eqr28gS8pGu8YVTcdX5YJUZGfk44QTyuqbKh2UFCjgNEpMUavJBlY9hOBd9t/Jx4onksRW3iyPYlFa7bOh2YW/sBCzmRwg4haLwBoxtkI8IVTnUFFc+NJfyETXoa9IJO8MqhmrLG043+UiPkfkVqRSdSS0ByYflRT6EmA9WwRTgex3Lg3wEVT6SRe52keSjnxCUDzZpkwPhVz7UZc7IZHXART4AmBli9K255tavUCDBqQCgHdaa8uF2u4i7iFbQlvLhE3AqrEM2qewZAma7sKyg5CAnH73qbFsukyZUAJAYdiofFnV9qKUi1BJZSMqp/igfFv19wJrlt4zGfLDOzVrSqXywHbybfLAhYC/u5bJdZKSR8sHqiIi+ejdCTT6o8jFEa3wwuJUPRj4OHQrmGZmZqQ82BTzcLn1QPgBA74R81DzIR41vEkwTiFnkNZFMEkqCp/a2uuFkAbE6otA0ILWMNYErOu1nJwGngvKhKJyLMB7IiqqZLuWj0eZG14EIdMTL5CAnMYqdO5ucbI+xZMjH008Dkwfq3S4i+QiD8lGXagtAXd6cfCBDrJ+ab84g8nmRfLSofNCJxAJNmc9e6UD58M12Cah8VCr8pbOzrQexHzwI3HVXwNpfAZUPo8zJB/NM9Ur5KBYspGmxKDf5YHEXSqUEtUQuMMueiqOKSsmjBgE7L9b7IYjy4UE+FOpDGcSsvRlTXIQykuDKYzQKbNxI/u0mH9Q7yMeIQPwaul2iwd0ulUqwRKRajZOMVsmHZQE7dzYYa65JYM3OoVisJx/LccARcLppE284t29f83OoUz4oeq58sIBj1Wnkqgrt/txGmwZOPuJ2qVlR+ahUeBn56EACaowT3lZtPlM+DJaoQAO8Uyg6L1XLAadJe5Nik49cDqjVbPtoKx+MfESdykddcTgBuk76gwGApSiYxrBUPvoFXQcqBTJwpnLROvIx79kuDZSP6Aon+dCy9eRDyRLrFynnYBhkMb7lFlLDwA1R+UCLMR9M4WD1PRQWvFXrXczHgUkNJ58MTM95kw+3fWxV/XjXu4DTTwfuuy/AiwOSD4uSj9RQDIpCbGKvOtsWp/kxaQNOtwsSxJBplSIilHxUBvhiw6olOsDOa/Vq8hhE+fByuwzxWh/23HIrH0LMx/r1POaDfRxbzFcRjszHCL3pRiQGAxF/5YPFfOg1PPkksG4d8M//7HyNOH6CqB9ilfGh3B7gnHNwzMTdjuP2w/e+Bxx3VAVf/KLPC+gBTIGwmvJBb7fLCkygWOTKx/LlwGGHkd+DBJ02Uj5663ZxBhwz6HZ37NZ3gBGDvCeSTtgMjBESwKkMRjIJ22a1pXywgFPasJAVGWtIPvzmu2FAYf9LJnmft/XrCSEsFIAbb7TJh6182K7v4MpHtcrJppkdwtlv0vCmNwU44R5iyZCP444DEhFyU37+K658pAdDonwIqbbumI/YKif5iAzWkw912Fnl9N//HfjTPwWOOQb4+7+v7wxqk49VrSkfTOFggaa28tHCgmpZ3uTDL9V234SGhx4Cdu7yJh9u70crcR+mCdxN1g3s2BHgDQEDTllXzcwILaAU753yUZ4WDF3SqXww46hViohUyAVmqdsAT9tzgBnODRvIY5vKhzrMyYetfLhiPlhlxih0HH54fb0Mt/JRrdKNJL32rNWAL/mIMcJXwxe/SMj4zTc7X+NbQdUHbP3NZIDoDf8J/OQnePH9pNlbU7fLz3+OHAYwfLNPURF6APtAiF/5oLfbZTkO4NAhPmfGxoA1a8jvQeI+HAGngvLR1O3SYX8Xt/LFoCu0TUOLyodhcJeKlk5ASZAFmRESgJAPpnxoaV7nox3lg7ldWLdk5hNJoei8VEGUD8E1o6SEeRuPA5ddRn7/7GeRSZJrZttHdtDx1pQPdr+1sVHcems9Ce83lgz5AIBUjAycm37GYz5E8hFW5SOx2hlwGsm6drcA1KyzvwszsOUy8PnPA0cfTVwLAFCcqyFFdwKi8pGbC+B3YOlpzO1C22GrLSgfc3N8fgRRPmoWGabFqne2i5u0tEI+nnmGf6+7YJMnAiofLI2vH+SjOkMXYmj1rV2pcYxUi4hWyIka2WG7rTjrCOpAQPLhmWorKB/qUD35cCsfESHmY8OG5uTDfo6SD1ZEzY98qNTtUinUcOONzs92fJ7H735wnDct35owyCBsRj4Oe/4+xKDj8Bfu8X4BPYD9IJuC2rRL+aD+nRWYsBvxxWLkurWifExPeysfHbldgrQNMD0CTgHUbOWjNSMsulQimQSUJFE+oi7lg71GSSXtOdJJzIeh1pOPlt0uJf9NAy66iAywHTvwlsqPAQh7HVrDhGX2AK0pH+L9nk8sKfIRU8lNefTJiF0xLj0cvmwXN/lwKx/RIY+YD6G/y8QE8Nvfkqf/+Z+BI48k68fXvkaeKx0ULCxVPqKooTTbfOKzRZVJl1qidfJhE780mXPNsl1qJrkgpUowt0sr5ENs2NQy+dB1XyLBrlN2We/JR2WG+o3VelLKlI+oXkSsSi6wlRmwJVtP8sGsXEDlw+F2EZQPscQ6s7+Kq8hYNMUXAi/lQ4ytYDEN+Tzsm67Hmikf5PN3P6vbp+UmCB2RDyqXsSJv9mdXq6TRkOvLNNoAUCu7ZT7nATDlQ3EHnNKgmOU4gPFx8tTYGAnP6Zby0Vaq7RVXkIHQTD50l9enYOSDBWoHRbnMO/NGM3GbfERMPk8rFe52QYIrH+2QD9Yd2WDKByUNSZRaVz7oa6qIIpl2LcXZLHDJJQCA/2//Z6HAtO2cXU4+1p7yId7v+cSSIh+qwdOkmOEcGAq/8qG4sl1iwx7kQ+jvcuutZFIedhjwsY/B9i+zrqHVSWIQdSXKI+YA1GZ9DKIA1aV8MJ+9YgR3u4guF6C58qGbZJgWqt7ZLp24XX7/e/57IPLhTiXwUj9ME1mdDLDMMmIMe6p80L4SFTVZ9z/W5TaqFxHVyf1VMmmYNDXbMzUigPJRrXLS5+d2EckHd7uQe6dGySA3VpEVcx1246iVeV/lI5Ph4ySXA1c+Ik2Uj1j9NW+kfATJVrHJx5BlL7ZRN/n4zneAN74R+MxnHO9lri9GQurgUj4iJW/ysQL8nixfTh67oXz4FhljAQl+5OO228iF/d3vGn6vn9uFlQpvtUeU26Viu11M3bYT4mtE8tGO28UmHypd6P2UjyDZLkKquFv4AAB85CNANosjCo/jbbjZtnMKq94ab0358Lrf84klRT7YTRFLXQ8MhyTmo0GdDySTKCl8dMZHGisfP/wheer1ryc2Y9068jcjH/oUsZClyACpRMmaw8013/axwFJb+aAdKTWjdeWjKfmgyodOlY9iufsBpx0pH4Bn3Id1511YZh3ELLJIvGwzANeOskfko+pBPlgAaqxWREInF1gZyNgpiSxy3gE3+ZiZqTtvcQ0aGoKn28VT+bDIPVUjxPSYa9ZhF9YjAgMvmr3Pfns+T26zF/kQlY9qM7dLjM9vhlzOmW3SqvLBwh6OSI3bbIPJ/Db5YJHerojvSIX24Kl6E30z51Q+4tUcajXB7ULJRxY5JOhuns2jtpWPIG6XFSvIox/5YIyuiRF1K18MrFElq94ZFKLbBQnudhGPxUE+kt1xu5gut0sSZeTnhMyxIMqHUKE3VS9akon14Q8DAD6JL3AeqNeTD4fy4ZNqK90u8wXLsuWooVG+umdHwpXt4pVqCwAzGh8wnuRDUD6Y8vmGN5BH1h9gYoKW6Z0mFrISJe+x0sSqW/lC03RTpUauISMfERbz0YHywaK5KxXXvGExH0z5aOB2eTm24av4MLKYDax8WFYXyIeH8mFc/18AgB/iHRhaRQhBL5WP2hwxYqyDrQiNxgdFrJrdmEwdSNvkw27KJYKd06pVPIbEdXEefJA8rl5N15Embhe38sEGeTIJ3InTAQDrdt3l4C65HF/MMxlXOis13JUIGTx+jeVE8sGi+2s1vjG1rNbJBzumowzuYtB0rnxYFvg1dDHjKC2RHtN9yMeck3wkrRI01LjysX69nWm2HOSeuJWPIOTDoXwEcbswZuNHPhj5bLaau2J+7Kcp+TA6UD6QSEBN8gWZHUtX3S4lmu3nIh8Aj70CnEHgVb/aJc3IBwC85z0AgBPwqD2U7IquSR/lw6fImCQf8wWh/Nzb3k5ukqqGKNulgdsFAHIREnRaRhzxlMcLhM62APBSZTvO/fAq4FvfwrJlZHBaFpFkWQn2Spy8R6Hl2uO1fNNroFHlQ00w8kFjZrqgfAAuW227Xcj5FkreAafFIvB3+Dw+jH/Fn+NHgcnH7t3Ohk1dUT6KRag3/QgA8F3lQnvB7GWqbS1HDJ0erVc+IkLq7VCNXBhtMGPvmhqSj1SKr2wu18t//id5fMc7QO4TW5EDxnwwt0siAdyF0wAA6e13Is5LNWBujq99AwM+yofWWPnQhN5N1IUOgB9uqeSvgviB3fL1laf491TJNbMsemh+5IMqHnHD2+1iUeVjMrrKfm4AOQwz8jE8DHOM3BPmenErH/v3N4/99FM+fN0ubAfjl+0SWPlwZjsxGLby0X7MB+JxRJMR3saAMsw6t0uUBzm32qqGNSg0NWfMBwBUpvk91ec4+aj5kQ86RopIebtdAPveJFBBZY6SDko+2AaQHYZUPsIK4Yacd0EEqkrSUFmq6LzHfDToagsAuTgZMAWk690ygMPtAgB/vfpmqBPjwE03QVG47di9GzBnacwHIx8DvLNts3RblZIM+7rRplARs03y8cc/IvZ3H8cqjaz8DuPP3C4GGab5Bm4XtjPcgF2ByQdTPZjxPngQzhLJXmimfNx8M9RCHs/icDwxdKrtKu+l8mHkyTHUPMhHfCBmG+NBg+xa1WzGjt5UXN0/YVn8nJJJT/IxNQX87Gfk93e9C85ACR+3i66Tz1ap24XtfA8/HLiLKh/KAw8ApZIj7kN0uzAiJ2a7lLXGAafJLBmnQ+kazjiDE5hAjet8wNbjwwpc+VDKJbsWXi4Hf/JRo8XgDG/lQymQAzAHh1FWyD3KYg4jKlUchoaA5cQF4lY+Vq4kgpJh+MYIAyCLsVop8oy3RkXGgigfpsnHQFC3i0v5MGjF5CDdsWs17slwu12iMQUVxB3HUinUEAH93mSyKwGntvKhqqhGyLzTZ/g9ZRsCAND9MnjoGHaUVndD6NtlThN1iVVvbUX5kORjPiEY/ONPjOLee0kRLraSh135KNJmYEXFw+UCONwuAPCK7JPkeRoSz8jHnj2wDYWepOSD+j2C1PpgyodG3S1RFvNhBt/NM8O4fDmAq66C8qV/wXujxFXhMP5M+TBcyodHwGkaZOKvxZ6WycdZZ5HHWq15GQN3dsjsftcO9r/IeXwHF2BohE+v3pIPmmobq7dgiaSCEpykJDqUtn3jarXsdLWJkyCZ5L5+YTX7wQ+I8T/hBOAlLwGX3GMxnpLC3g8ieVercEgMLOZj3Trg1iePhLlqNfnQbdsc5EN0uzgCTumiXm6ifBy7mVzzLS/Toar+qbwMQQJOGZ9YNSeSj7Lz+Bj5cCljzO2SRsHT3qiUfKjZDInJApnTQ4Lyoawi98StfGgaT0luFHQqVje1IhHHAudbZKwR+SgU7Hs7cyCg28Vl5FipcDMA+fiLvyDnOTFRr2pEo6Q9PQBb+dBzwpztMOC0TvkAUI0S+6nP8nttFPl3+qYPC24XX+VD02yFms0zRj4UgXw0Uz6k22U+Id6QSASnnAIcdRQc5CMMMR+eAacASrQfR0n1IR8u5WNDhdQfYOTDEXRKLa6ZooM6E1z5YIGlzO3CUiWjqDZXDShY+efDDgMptAFgVYQwhkbKR6nmne1SKLRHPlimy5Yt3FvQzPViugI09z4tKB/79gG//jUAQj6ERKKekg+rQI7BjNVbsESCGDcRkaGMTT5iVtl5OO7aAx7kg7lc3vUu+gS9h3bQAQP1n8RRIZsx4b6JPv+NmxSopxPXC+68s075UGDi6B9/HicXSKEaUflg86GZ22UwRU6SfTYjGYUCEEMFn8aV+Bi+iNEd9zXdvTM+MTYlpJWWSs6YFB/lI05jPVIo1hMdXbcldW0wAz1JDjaLOWTNGfKaoSGoK4jU4VY+gGBBp6LLRRGaygEN3C7sgwuF+p01I58A9u5sT/lgXbLhFQAtoFAgNYymp0lFYgf5iMed5IPeR1GFQDzeUcApIx9WhAcZMdJvzPF7bRb4d/oWTgsS8wGgmqDGiV7nCCUfmlQ+Fghc5MP9e9iVD9aPo+xHPgTlY2y4huTep8nzExOAaTqUD7VArJ6ZptZSUD5yOZBdzJNPejqONdOpfMQyrUuYbFe2ejXAKiUt08iOykv5qNKYDwP+bpcU7W2yFnswORms3hFTPk46iRvwpuTDVRF0/FlhZ3vDDYBp4sDRr8ROHGWXCgd6TD6KlHzE68lHMllPPmIjGVuyrWsuxxZNVSVGmpIPYx8hHzt2ANu2kV32+efT9zzwAHl82cucX07JRwzVOvLBYj5snE5cL7jrrjry8SrcjTVf/3tcsP2jAJwBp2WlsfJhz3V6zRlBEJWPt+KnuBJX4Iv4BC7+/qmEif7Hf/h8IBlvUVQxNP0cf7JUwkDG4sfnQz5iBlc+6or6Ca+NDGVgDZALsQITiNHGexgasu+JW/kAgqXb+qXZAg3cLiKxdKsf4o6lCXlQ/JSPaDC3y/btfBg9/bQr5oMqH7bbhQ7sWp4qIGqMjOsO3C4G6xEkKB9GgthPMy/YgqJAPvziWIIoHwD0FCEfWm6GPNLqrVqqBeWjYsk6H/MGdkMUhTcqA2zjFJZsFz/yURugAadac+Xj/3vNc7zRW60GTE05yUeRkA8r46N8XH89qUf/T/9U9zUssFRNupWP4MFbTPlYs6xs/zGszgDwVj5MOkz9yIfodlmDvbAsyxFI6oX9+8mPohD3gRf5+NrXgD/5E6etNVypgAeeF3ZVNMf58ZMuJOfkUj56lWrLjBhrIifCrXzUoCGWiUGlykccFW/ykUwCigJ9hCx0N39zAv/3/wJf/jL599lnc1HETn15+cudX07JRwQGqiUjGPm4/36MZMgYm50lC/lakHTVwRJR8cSA01KL5MOtfOTzvOHWIYxiLr6M7Ji/9z2fDyRffSR2QjUNx0ZmNFPhn83kETf5oDEfGkwUplwrHx38VUSRGopBGyTzcx1ojrymkY3CcqfyIZIPtq40Gv9+BcaABm6XbJZfvEbkw72aP/wwqXRId+PuVGsG1iW7mRHeto3//vTTQKVsIdnE7cLIR1WjK7wQcNqMfPz93wMf/CD3GJoVmu0S8SIfwr0utUY+GikftcwQAEDNUeWDbQBTwZWPlD7L416k8tFnMIPv9mm4BmKgzqa9QJNU28Iy4jeZjq2o/ydgb+mWxebw6Xf80fm/8XGH2yVaIpaXBZrCHfPBCgWxHa0AzSIDm6XYRlKt7SJyOU4wVum77eeHLX/lg5EOm3x4lFdn5COJMpbhUNNaH8zlsmmTw547yMdXvwrce6+z4Zy7DsHkHmG3Q2s6PD38CnJOfm6XLme7oEwzLRLN3S55ZJBIKrbbxVf5oFuxfQYZb8P6BD77WeAbpIUJd7kAfJz4kA+AXjeRfLgWH2zaRFbRUgkvrhIyc/AgudVskU2VpwBYDrdLQWnsdrGtOvXFeSkfLA3zV3g9/ullpJR1o9awxSKwEdTlcuyx9vMjqTL/bDHmQzAqYqBp8ZArXogO/jwyyGaB2BhZ7G3yMTxM2LJL+RDdLi8Z/yW24eUY3PO47/H7NZUDiDn07O2SyfAB7Q6MEtwudQHMH/848Dd/A/zmN+T/Pqm2LH24FfLx1FNANS+83q18sEqgVIXQNUpKAiofhgFcdRXwb//Gh4NZqVc+LNY5WiCaSlkgH37pwwGVDyNDlI9IgZKPFpUPywKytUl+rGJc1jxCkg/BLy2+rO9oEvPx/Ivfig/gm/j6+n/0fj+1qlq1jNSzLsMzPu5QPqJlSj4GncqHTT5YNTLWPILBsmzWzUiH2CEyiPLB5OBsFkgf5J8/SMmHY6MoZACJj3XKR97kux8Ei/sQXS4AN+DsfbUaP30xDMJykY+Z/cI/qRE+WCXGQnS71PnSuwhm6BQPC+YmHwWkyZCPN3G70M96oUYWusMiE7ZXZdUq4C1voa/ft4/cVFXlF5NBIB+1YsWRSlSnfCgKcBqJ+3jJ3F32RwN8kY0YVeKuEAJOi1YT5eMVhAjisceAAwc8lQ9GPspIYK+5mp+XDwoFgXwcf7ytpC5LC1VO2XU0Ta4GmCbiJr/YpUOujBcX+UgtdykfbEAJykc8LqSqV6v4izs+iJfjQWz6w02+xy8GnLrJh6/ykU5z8tGK8sEkGProF/NhxdpTPvS88H3xOGKxeuXDKFAFJOIkH82Uj3ye80bGr8yqxzqSomq0EFysVPl99q3aGlD5sLLEnsRKs0CtBg1kHkXS3sqHUXFubmo1ru5ZI+FQPYClRD7YbtO9sie4/Aw0r5HTMzRJtU0OxvDv+ACmBg/3fr8QsW7L4AwC+ZiZ4W4XJusy5cN2u/iRD8OACjIbWX2PViRMwBVsKnz+gDEDwFv5YG4Xe/F2kQ8j59xBrsHepuSDKR9u8sGUj717OUcQF2eL/lGiBq5wsEhep+v2gjNeIsaiXwGnWpmcv6MzJoU75iOPDBnywrhvRD52lQj5WKVOYNs2Qtq2bRN4BRtrL3oRrxbHEInABAlmNItO5cO98wVgu142HbgTAB8rLA0bIEbUoXygifKxYgVNyQHw6197Kh8sYLGEJJ6vruL/8El9KRSAY0BrfGzcaF+r4YQH+WBvAOrSssuTjclHZMSlfDDyISgfy5cL8aL/9V8YzpHXqmXvOiKAS/lo5HbJ5ThhzGT49zcgH+KiS06y7HhULe+YD9A+JXXKiYB9+8i8ZOe7fz8wd0D4Phpw6lY+TJp5YqeiBww4FW8/O0WbfIhV7Wj/JLXE7yer+wJwV00dApIPFg0fL886FiiRfIjKB0sHZtB1rgw7iirNM5YO+WiifJCdszV/cR9NYj7YmPFVzGIxviIwGZyN6PFxDAxw2xGhbpfIsI/ywUpCz8w4JVbh4jDlQ5QwgygfbEFZvRrAczxgL6N7uF0CKh9mzmnEgygfjF8dfTR5dJOPZ5/lr3WsGTSgbk4dAgDEzBLhUIL0vC9PFo1+kQ+1QpWPdPOYjzwy5JYlgrldnsyRLIdsdRJKbg4nnsjTtgH4u1wAEjPCena43C5a1MP0UJVi9aHHAAiByRrPtLHJB13QC82UD4D0GQCA227zTLVlykcJSRwsZXhsg0/UpsPt0gr5cMV/iEWp7IMBJx+MKTncLoBNPpbhEFYuo2OpViM+Ago2JrzQSPkQA04tce43UD6sGT72VTd5YIslvR52kTE3+aQ3kDVk9AJTPTZv5pzpmcdZMGkcUBTPmA+LfrcRbc3tItqiOvIhrCMqLdIoNguMCOTDN4g2oNtFod2hExUn+YgN+CgfJSfZqVbFoNw4woKlQz7Wryej95e/dD4vrObtRD93DU3Ix4knknizk09u8Bluo3nqqeTRVeuDpeNGR+oDTisH55yEQ1Q/BPIRTbdHPrwyXQAgVZ2B7c9ncCkfvuQj7zTiQcgHO0VmTxuRD8d50QGSi5A3plAkXdUZ+UinMTVHjEC/sl3YLkvLNHe7lJQ02TkGJB9/nBjGPtrkDH/4Q/2X+2W6ULBupSL5MKBCiyj1L6bpnOnCBFQYdW4XgJAPMaAzbzVRPgBeyOW225AdEDJS4FQ+ykiQ8ccyO3xcLw63i0A+BuNCfxeRfDA53lXzQyxKZR8MBPJB5/NKdv5sQI2OwoQCFRaOHKIk4oYbHINW3Hm70Szg1B6n0zPkMR4nxseHfBjTgvKhuwyoS/lQqPJRF/PTAvl4xSv4puG5J5lLhSyqXqm2FlU+TEY+Aqq1XsqHxQJnowL5GKDko8Lvb6QWgHyUOOltpHxoI4R8JKucfBhQEUsJx6Dywmdeygcb44okH/OAZJLsztw7NIF8xFEJhfLhFfPx8pcDk5OOzU09RNeL4EN31/pg5CO+rD7VNn5gj/Mz/chHyu12qaFSbh6t6+d2US0TA8i1pXy4d5Qi+fjXfyWxjO66B4x8sPoebvKxcyd/rUP5oDu7vDYEgOyad+yAo6uro+U6RTfIx09+wgM+RbDCVV7kI5mEo8hYUcvwA0Jz8vH888ATeBF57oknnB9umjw42Uv5AFDTyPdY5Yoje8mzSu+KFYCqQjUNjOEg9u8nT49ZHm4Xes/zZgDl49RTiQo4Po4Nc48C8Fc+8nlQZgxf8hEvTGGMuS2OOca2IdloiX+2l/LhIh/V2SbKh1gtFhCkywhycUIajkhPkPnwuc8BAHJDhMA1Ix9+AacOt8vsDHlksqsP+ahNcfKh+ZEPej2Y26Uu5oeRj5q/Ad66lTyK5GPfczRWjwaTeqXa2rEfLBU94IbJk3xQ5UMkHxHWP0loFhgzhOvfofKhjRIjlapx8lFBXAypIsdGa48YZX/lQ3G/aR6xdMiHHwSrlUB53pUPv2wXgCyUiseG0YZorDZsILWrAV/lwyYfgvKRmW5OPqqIIp6gByJcv0q+eRaHw+3iiikZxnQw5cMdzV3wVj4MA7jySlKb4rbbhNdbnHy4YviaKh8KHSD5GFc+/MiHW/noJNXWskiGyV/9Vb03gO2ytIH67VMkApQE5cNO1RZiPhzkyoN8PI7jyXOPuwKZn3mGXMhEggReeoCRD6fy4a3uiSU6D8ML9OUWRmqcfIxi0qF85MzGjeXIScaBV78aAHD0c2QgiEXGxIDTZuTDsoC1RaJ6GKvXEOJOr9WqIfI5zzxtBXK7GLNNlA9xMwE42Gw+RQbsuvgEcPXVJPVjZARPvPoiALzRnQNVnsLsp3w46nwIap7j+13ZLqLyodZ83C4s5sMn20WhRQtVH+XDMDjPPeUUwvkAIGKweA5OPtxuF9v9Ems94JSBXQqr5kE+BllvrAIZs7oOzeIbJKvdrrYUsWWEfAyYszBonaEqYnXkgzF6VgiNQdedtVDCAkk+FMWxCwyD8uFHPppCNFabNvFayz7kI7m8XvnIzvD0VwBOgkAlxypinHMIVr9aCE4+1oyW7ONiE2IIM8FSbV3KhxjoBRDycegQcPfdsFNuxc1aqcTXfzf5mJoip+kX88Fk5SIlH17Kh9ulA3Sealup8AXTreLEKPmIZuu3T4ri7HZbjjiDhxopH6USIWO+ygdzuZx4ou/qb2hC8F8TdQ+AvfCvBhkog5hFzOKT0h1wmjMCKB+AHfex9slfAfAPOK1UAGMFJR8eMR+lEnA0DTa1jqYrICUfR68h1+7Jh10rmo/yYeSCuV1sCGw2tpbEfVx43weBT3yCPPmJT6A2TAZy1E0+vv51Ms9vuw2zs/7Kh6YBBh2nCkv1YMqHT8CpKcR8NFM+mNuljnxQG1xHXiieeIJcxoEBYtqY8sHuHYvniMXqA05ZNpgZd7pd2gk4hU4MB+uWDJB2BQDZiBSLQJ2cEoB8NFI+YmO8R1J51l/5YOflznZxxHxI5SNkEHaB86189JJ8uN0uXjEfLFreHqRCUCibRDqifAwLVl/3694ogNnzw9Xn+TGvXw+AKB9eqbbNsl1YoFdtGU0LxQs4dMDEf/83f41oLxk5UFVuV0eGTLv23KFD/uRDpdH8pfgQgHrlw8wO2karqdvlG98APvShAN3siPH7GL6IL+FSHJhwureYxOtFPgBAj3LyUWmBfLC442cTPuTDr7iYAOaLt8rtkQ8x3gPg5MOiAyUw+aBxH8uevBtJobS52+0CAJVRf+WjWOR1R9S1NDaErhxrx8rEbZEr1b9JfKRwxyo1VT4E8jH2IjLWk/ufI4vOVVcBn/iEnfEkxhwAAO66i4y7r3wFhakKBkBZvkv5UBTUE0m38uHOdpkV3C4ieajV+Fy1Yz68i4yxlH3Nx+3C4j1e9jJCkNzkw4zWx3ywPkx25+a4U/loh3xYlHwoMX6NooNkDKZRcHY0ZufWqfIRmHyQSWV6KB9iCfqwQJIPIBzKhxDf4GuYm0HcKR17LCcfk5NAtYq1a0lZ6DjISSrZeuVjOE9XnFNOIY+ebhdB+RAOthn5sCzB7VKln7thg23UGikfiuKtfFgWTys0NxwJS1URgw5rfAI3CaUOvMjH0BA1tp/8JNTly/DK4ScBEAVbrBApLs6s90YpwZWPiQmgNE7Ih57kLeXF7vJe5KP6N58CvvlNmA89XHet3JidsfB5/B0uxZdReXSH439xk5w/M4JuiOSjGkvzA0LjVNvnKT/Mr6fkY98+54VslOlCYUSEXahAJn0JNiUfh4GwVLbQM4xgCopZsw36bC1AwClAAkPXrYOqV3E67vRUPljcQHHYP+C0UODNG9VBOt8okYvoJRx/PCczjjeJjxRKoUXlQ2Szxx1HHl/yElJz/JOfBDTNJh9RN/lg9/W22zA6TXrxWKrqHKQUYt8SAM3Jh5Bqy0p/A3BOHFfMh1v5YL2iWNdsN8RgU4D25QLf0ZuC24UpH6wgIEv/tZi80EHAKZu7ovKhZHipgnwe9eTDL4i2xWyXQcyiPMfJh9uDotDzcqf2OtwuknyEDMIukA1GyyKV7cTqlj1FL5SP4WG+izlwAOvWcdXD8XpB+RgrUeWDBavu2sUr7Qjkwx7DigJdId+hFxu7EyYnucdhZG4X+UUgH3UxH8JiNTbmTT6qVSBpESOuDA/CWE4yM2IH9jjWDj/yAQC49VZgehrvx78D4IFtDA7lg5KPSpK8eShGDMjks4R8lGkTqEzGuYGsIx+GgUiOMJytP9mPZsjvz9n9PcwdTzvOP2GRA0yOeFswsdttNRpc+WDkY9kRWe6zY+pHtcqLpfhkugC8W6lVqQZTPmimSSPlg/XxAYBZPaDyoSi2+nEWbvMMOGUrQD7rr3wUCsIcYvOHrRylEk48sQH5cCkfStFJPsxccOUDf/M3wD33kFV582b7aTVNjiXmJh/su2s1/PksGefm8Kiz1QSD++Y0CThlZb8BXn0TgLNokqvOhzvglJEPzYd8MJGNkY+BAVLszlY+4vUxH6y+hx18m2hN+fBKtVVqZA6K5IORsxSK3sqHj5pjtVjnYxCzqDRQPlgcip0OTCHdLmGG4HZhyscTTwDf/OB2fPTt3rn+AFmTf/YzUmmvY3SDfIg7pU2biGFhDTjGx3HYYUCWGs6ykuBGRlA+llco+XjVq8jjHE+9ZSljDuUDgEHTKX1bR1Mwl8vy5UBk7y7yRyPyIVyTlSu9A07F0uraQBrqOrJIsn4gzN54kQ9700ejTM/O/xAKzDryYS/OlmV3lKykyTEP0gyHwj5igIvR+gJjQH2FU2t6xi7YdvePmpOP4r4Z+/fo88/Yv4+P88Uuu8KHfMS5ZdPjrZOPdetAiogBnHzcfz9ZXEZH+TbUA0bUO+ajmfLByIetfNBFckwVyIeiIKdzX39TUEJ9In6PXI7MX5F8sJLzs2mBfLj6LRSLzcmHSI4A+CsfJefrajOcfAwMoGHMB2IxksXjOnGW8eTItmAHTnGB8W3yi1+PjxbdLmqBKx+RgMqHm3ywRpV+5KP67F68AluxcSN/7uijOflgwaQO8kGVD40qH+z+duJ28VI+GHNgyodVdF57vyDaVouMJVBBdZIclCf5iFPlo9pA+ZABpyGD4HZhg3Hu8d3YhlfgO/tfi30veKeQfuMbwFvfCrzjHV04hm4qH6OjvNuUEPcRiwEbRsngLWrCrorubOKoYqVO3S7HHMOJC437YD0K3JHWNS0Y+fDMdNmwwTaqdW4XQflYvZqTD0tQPopFbuzVTArqekI+1oBEZf75n5PXiQH6LDZ0aAjkutOo1LHKC3gl7rPJB8sssjcyQqCoTsnHgEa+u3qQfGheqy+tDtQrH9X9k/b/ck+PY/t2NERlnBv89DgnH/v38/P3KjIGAKZAPmpxp9slCPlYvx48m4VlvNx8M3l885sbpmCZEW/y0Szm4zC38nHkkQCAZeokr9aYSqGqk+8ORD6GeYaSaZKxI7pdmMtiKk7rmlSrRK4T4FA+GDlg5KNcxkkneSgfPjEfYlEqADBmyeCvRDLk9jRyu/jAJh+mP/kYAhmr6rKA5MOtfMzNOdTHSDEA+XBXOHW7XWiXZcf7KXI54Lv5t2IrtmDd07fbzx99dP2OXnS7sJgPTaffzSoAt+F2sWsIGpR8xP2Vj9K0M+BU9UsfDuh2ERUwfT+pIeBFPlSqfLC4FAapfIQZwi6QKR/W87sRgYFN2IGd39ta95annyY9kwDgkUec7Q3agpBW2nHMx6ZN/DlX0OmRy8mMKkUE8iGUxY5BJ7vM1at5qi4lCsyt4lY+TJWW9S01drt4Vjc9/PCWlQ+zyg2fqHwgnbbdA2uxB8kkcN555F++bpfJScfu9h34oZ2Es2EDebRtqGBMawM05kMhRt6YItYpp3grH+5U28IeHlSyCvvtbrF+qE7wExg5xKW2/fusOreBG2ZCIB8Jp/LRKOaDVYFdvx5O5cOySNERAPizP2t43KZYNruVmA/FFfNBG7gNW4LykU7b8zUQ+aDbS/Z+1uSQXT+2cOcqMU7eXa4XMebDXhTYbrJUwgknAKmAbpdIxeV2mSOD30zRe+Quhe1mtB5g5xD3IR+sdT0AKGPOYFP7+ajLADH7IH6/3ezEtBtVAkDU9HG72MqHd8ApUz5Y7ygR47/fj5NBmjGl/vlK+/ljjhGUD3oPFAXQVWfAKScf3XC7kIVda6B8lKZcyoeXmmOaUOjEq6rJxqnimoa8SsaasZ/MB0/yQZUPqyoDThcOPLJdqrN8AGk3/dDx8loNuPBCbkssi7u/24VV64LyceqpxGCdey5/zkU+1o9Qt0tUIB+xmKNFNFavJrsDtvpS8sGUDbfyYdB22L6toymY28VRYMylfBQKAhcQgnAzGSCWpD5N3Yd8pFIO8nH22bxYpS/5ENvYAvhz/AgqbT3N1ltb+RAsFWtznaDBnswYz8CffIiptqW9fEe9EuP4wQ8a9jKDcYifwMo8Vz5m/7gfMegwoPrK6GK3W9b+uxW3Sx35ePhhUgAkmQRe9zr/gwbPQlD1gMoHvWHLrEOIocKVD0qoh8wpp/LRBvnIKOSezc05yUckQ65Jo1ofzdwu6TRPubXhcrvUKImOVF3uGRrzYaUp6YhE4NDjA5CPyAA5FhYH5DhwADOnvZU/16rbJRaDRY/HmqLj0dX/xkE+vJQPNHa7eJGP8q/v5n/cfTdwJ+n9I7pdFMGd4ChsBx58a5OPTgJOqfKhJYRrJPTGKhSA8rTz2ntm8AjXJj6caly/CdydqxxoQD5iTPmQqbYLBx7ZLiL5OOaRHznSIb/18T/g6a2HkM3ypBBWAKdddIV8vPzlZGW99FL+nLvWxxCZUdWYsxqqleLqhx1c6CYfBZ5qKx6jRcnH3KFgbpf1Y0W+6LtiPgxDWOMFNSiRAFIDVPmoebtd3MrHhRc63dSM1HiSj6OOQjk1jFUYx6tAjB1bb207QQ9MR8SOcGe+dY22u542ArpdxrnycczAfug6cO21PhcOgDnJyccq/Xk7+Fd59BEAwIHhjb7Kh7iA2bvqJuTDjCfteiLr14NnVxw4QCKxAeANb0BjZzVgicpHEPIxMmIziZUYr1M+4lbFrlFhpVK2J6wl5YOSj+lpckvZAsZUAwf5cNX6aBZwCgDHbvBe+FkxvEmQRT9ec2W7FOhWW1Q8xO8IsHCwdOuEVXLGq9Bje/417+bPLfNRPmIu8iEcz5RJJtT2/6Xj0SX5ajC9OzI2iflgvaKiHuQjej8hG1XaJwif+QwAJ/kQe5boNGuJNYFkhchUVgFYVD4aVGX2Ih8qIx8+bpd8npOPMnX/eMaxCCqYX6C44+WUfGiTZD7oSryOsNiESK9XPmTMR1jhke1SE3L1l5VfgHXPvQCA/d/+Fd73leNxM96Gf/1X3lq8Y/JhNO5qGxjuN/u4XZAdcL4uzQ2MuYYWBGHkg8V8UGWjpsQcA1+jHW5372zgdvnjH3Hm7Z/E4XgWR8foljqbJau0oHwAgtwpKB/JJJDO0piPWnO3y0tX7MFb38pJgK7z+e4IOGXkY80aTLySuBDeiR8A8Fc+KohDzZCFLEL7OSTKhHxM1gIoH7UaahNc+TgiSe7NtdfW1ydiUGY4+dBgwniG3JP0M4R8TK15sfcbAVhJD/LRJOZjupxErUY236tWgVxb5ob71rfI49ve5vudNqjMr7iUD98xriiOdFtHzAdlLCyeRyTM7bhdWPl2pnywhbuR8uEZ88EMOr2Qx6z1Vj5YdsNBEJdOwio6dt5qkQx8NSuQD/YdAVQP8Rw0mM5idvS7x0dfhG2gqdHMteSCI5gSsBfXZ58F9pXJwN7/Byf5KAol/N1VTcXfWeVPLeajfFj1C/XI43cBAH580lVEtbj9duC++3DkkXxRVZN8UbXTu6nyEamR745mnG4XFRZqFVerBgFu8mFZgGqQa+ogH7bbpYhCzrQ3rrNUBdU8CBW7H2XEMbysucEvx8lnxWYo+dDqiah9TLVFmGp71VVX4WUvexkGBgawfPlyvO1tb8OOHc6aA+VyGRdddBFGR0eRyWRw7rnnYmJiwucTQwKPbJda3mlA8t/6AVAoIHnZh6DCwitxH/7yTdN2lqFIPmo10mrh7rsRGKLy0XbMhxdc5OOVm8mMOupEF/nIcEOur6LkwxXzwdwurFkYQyxD/t77XNWdHMDf/5rX4O3P/CPuxxa8eOdN/PMVxV6pRxRXZ1uX8mGTD4HZ17ldaHOy2MF9QK2GTIbzMeZ6cQScMvKxfDkKb3onAOBc/DdSsRqOOIL8y00+ykjYu2TFqCECHWmDfOiBSjDyYR7iykdqbj9Ghi1MToI0qfOAwvpsUOR+T1wvy14g5KN4tD/5cKgTaafbxS/m40COnN+aNQKfZUGn1Sp58s1v9v9OCotVrnTFfDQc40LGi618rFhBVBHwTCZLiGVphXwQV5mFffsADTVEQcZTLEuuSS4H3+ZyxaJHzIdL+ThilQ/5oBVNGflIo+BY4CJlMvC1QQ/lo0XyIR4PTJOTykoKH8FXcdeqdwAXXOD5GX7Kx7/9GzANMrBtJY5OJnZOADj58Ir58HG7sPbwMcvlBzl0CMsnSJDzc6f+JekxAACf+QySSeCwETJ4E0OC2yVCf6+UoetcnUwOO90uQH0fFBFizAfLjFJMMlYiyXrlAwAqMyVU5sgxMfLh5UoSg039vF8iqjSFP5Uja2nNi3ww5cPVvqFaXQQxH3feeScuuugibN26Fb/+9a+h6zrOOussFIQUsksvvRS33HILfvSjH+HOO+/Evn37cM4553T9wLsKj2wXI09uFvPhR3/6Y+DTn8bQ9C4AhDUrW++3u8w+8wxf3G64AfjUp3jV4yAwu+F28YKLfGjbSOGS6FEbHC9TBrjBq6xwKR+01oetfGhOSx/PkEFfLej1FamnpoA3vhEYH4cBFStwABu/8ynn5/uRD0H5SCSAzGB9nY86t8uKFWSHbJrA/v0it7EVD0+3y/LliL/hNTiEUSzHQZyz8j57zXa7XUTlAwCG4yUM0gyC8fIQ/2zxGrnrfAhZFEq5jI0ryftZOXg3InlnemPpURJ0unaakA+82J98OLJgmITexO0yPksWMVp8loBJQQBw+uk2GWgI6nbRagGVD8AmH0fgWQyyhX7FCjtGgZEPM9me8hGBgSh07N8vGGUA8aEWlQ8f8rF+uQ/5KDiVDwf5ME1EaQBqdNhD+QiQ6QIA8WwcJogsaRbocQg3eKqUxAN4Bb7x6h/wbDYXWOCijXQalQpw3XX82LVJuqGkyscURuxYFndPFfF3Dd4Bp7bbxa180B3cH3Asho8ZAy6/nBDfX/4SePxxvO0N5HOHV3mRjwrm5vg9tsmHMFh8O86iLpwFk5NAhBLViIfyAQD6bBG1OXLd50DunWZ6EByBfASZRlVavDBTIvbKaKB8KPoiVD5++ctf4t3vfjde9KIX4cUvfjG+/e1vY/fu3dhO8wRnZ2dx3XXX4Utf+hLOOOMMnHzyybj++utx3333Yau7eEKY4JHtYtJc7V/jdZjCMBIzE8CXvgQA2IFjyIvuvRcjI7B3yCxd8oc0PtVOzwqArsR8eEEkH8UicMst5O+3v93xMkVg76VlNOaD1WPP54GpKZt8GC7lQ41zH+pjjwn/KJeJNP/kk7DWrMEJeAx34NX8/4x80JV60Jqxv458kUv5GKwvr17ndtE0vmul9cHd5Qkc5IOpcsuXY/lhUdyPLQCAl2efFJMY+PmAkI9oJm6nmG5cNYc0k/KLwZQPZWbK8f+jMoQcsm68bsQo+WDydm3HM0CphPVlojwmTvEnH46Gc3Xko4JyqT42YN90E/LRJMuFwVY+ggacAvb9ewkeBkAzNLLZOuXDoCnEilLvbfSEsEikUMS+fc602Phg84DTylzFLvbmRz7SKnmcBF1VXDEfbAFPCWXexRgAT/IRUPmIxRW7zoVOF0HxsyeLyaYf5+V2uekmQoz3giiLyUM0IIiSjzlk63qq1MV8CHFzbuUjmuY2xIG7iMvlTpxORM0jjgDOPpv872c/w2i6fkfPgpyVShmzs5x8sGBcUfkwq7q3Wot68nHwoEA+kgJBU1XolPDoMwXbZV+M0I2rhyupVeWjliafla2S3YkZqWfb9jEZDVJtF0vMxyxdXUeoUdi+fTt0XceZZ55pv2bTpk1Yt24d7r//fs/PqFQqmJubc/z0HV4VTin5sAayuAlcufkR3o6bj6aSxr0kDuSlLyV//u53ZIFjHVQbtWt2g5GPhmmI7YDtbgoF4Ac/IIP+8MP5QTMIQWWFUUo6Egnq8Aewa5fdsMhwKR9iAJej8emXv0x2LtksJr71P/gDjsNbtF/A+nNaGOX008kjXamTVgkxVOrIB4v5YMqH4iIftvLBFhdGmj70IeC738WyQXLcnuRDUD4yGeB5jdSTODa6UyzfQCAoH4mkYi86Lxodt4/nhVxWPCXHJWKptpZeQ2TWWT/iyBQJQPBTPhJlcvAP4SQAQOS5Z1B75AloMHEQyzC2eZX3GwEgm8XTOAo7cQSswSHynGCsHVlKdAHdc8iDfIida98qZE00AGsY1o7ycSJICpk1toIwDGpnWMwHy9wJpHqwF1LWk0LRqXzEYshkiTlsFHBqzHhUCHbFfLBreAg0oNOV7SIqH/ZYp7+YUJwBiC26XeJx3qPGDppn7Dkex0yOXHiPquo2vNwuLBh6Mkk2JmnW/ZquAbMYrCcfgtvFKpcdm4ZG5MPR6ohmttyJ0+09Bd70JvL485/z7xAWVZMWHGPkwyaY7DWqCosOwBiqnn0eTZPfNmYHRPIRTToJmk7bFpi5Agzqsq8kiC3oJvlghQntuBYBkQQ5JhaXYh/bYlA+RJimiUsuuQSnnnoqjqdGaXx8HLFYDEOuibJixQqMj497fAqJIxkcHLR/1rJMi35C6HNh93ah5GP0sCS+D1IsIq9l8VF8BSvO+RPymm3bgGrVQT5uvpnHebXSpE5UPrwqHreNTIYTi698hTy+4x31haEE5WNuaB1/nsV9PPccTKZ8uMmHkLrmIB/sj09+ErsHSQnokdUJKD/8AdEw2e45m7WPh6XbAnDECCQSwMAQNVim0+3iUD4A4IMfJL8/9hhwwQX4yeNHYx2eryMfjoDT5cuhKMDBLJGx1hvPOja0lgUn+UjAtkqbBglxqMbSmJwlBqCR28Ws6ojlncrH2lhj5SNFycdjCRIsmHzhaeTvJS6XR/FijC33z9WLJ1VsxmM4Ho8jlqTXUDTWxfqshOcPepCPE04APvAB4B/+gWdENYNIPlqM+dgIGk+2Yjl5dJEPVjY+MPkAHDUZHMpHMmlPk3weXD2bmHD40C3aRK0aTXG5xaV8sEeW1eKu8zGpeLhdxL4ug8K9bNHtEotx8lGnfKRS9dV9PeBIIwXw7EQad99NTnfTWeS+D85R8hFQ+VB03dHd1U0+WNyYBhPVEp3fMzOwHn4YAHAXTqsnH1u38hbP4nhmyke14lA+HLv+JrU+xGK07HsPHiQ2DqhXhxgRNnJF291VSw3a5+Ruhtmq28XMOm+YF/lghEjxUD4WfMyHiIsuugiPP/44brzxxo4O4PLLL8fs7Kz9s4e10uwnPJQPNnHG1iVxd+QMnI/v4tXG7diP1Xj1BzcS/3O5DPz+9w7ywVwuwkcEgkVrV1iK1jTnu2Uw18sjND7gne+sfw21vEUkkYsKs4G5Rp54AiatcGq6G0/5KR9sJT3sMGeBMcAZLyA0uHIUGhN2yokEkB0mBoul6wEebhcAOP98YPdu4POfB4aHsaL8PF6L25sGnAJAeRUhH8sLzzpsVbUKR8BpPA57IduQIMShGBm0v6OR28Ws1pAoEOVjemgDuS5orHykdfLB+9eQCOfs1C7o95GGF8+kX9xQSUgmgQoSKCPJz0n0e5fqyceucbKArRN4KFQV+OY3gSuu8P8yF5SEkG7YovLBdnnqSqre0TGTZI3g4i0qH4Aj48WhfCQSTvIxNkZWW9N01oKhbEFPCAHbPuSjTvmg5dSnI4LbZc4SvlTo68LwkpeQxxNPDHR6qtqYfLCx35B8xJ0L6w//h1yYP/1TYPBFhHyMFFojHwAcK7o72yWa4YtiNUfff++9UCwLT+MoHIysZlOUEN8TTiD3hrplHEoebTKnVp1uF0cqepNaH4wUqio3n6Ly4WbPzAVo5Quw6P03BoSL7O5YSl9TQjKQ8gEX+WAESwRzuyxq5ePiiy/GrbfeijvuuANraHYBAKxcuRLVahUzYi1rABMTE1jJ7qAL8Xgc2WzW8dN3eMR8qBUyOGKDSRy/WcENOB/b8VKcdBKw4XAFeOUryQvvuQcnESUczz8P/PrX/GNbIh90V2ip3fS5UIjX/uijuUETQRfu3ViHUllxvh4ArrgC63/8RQCA2cDt8oc/CCSfkY+xMWeBMS94VTn1UT5UkzN7R8CpmNUxMkKC0974RgDAKCYxPU3uCbsvDvJB3VPv+QwhH9mDO5FMcGdwqQRf5WONRojDnDpo7ywb9XaxqjWkykT5mF5F4iiWm42VjwGDfLC58VgUkIJqmRj47c8AAPvGGmS6wLnhExsCGjGXu8A+UeCZFzyUjzbAyEfEaCHmw2ao9DOY8uGy0qxbb7vk4+BBb+UjlwMhHmzeiHEfdFWqpQQ75SYfdLG3yQf9mzWSm9II+YjAQGGaGhw/8vGBD5Dvf+97A59iRaVxQbn2yEckppKidRSPPENsw9veBii0d9Jo+QVyP9slH1Hn0sOUD0Doji24XFatcvXAY+oHU6U83C6qXkFhPGfXhRFdy0oT5YORj0yGX6sDB/zJB0v7JuSDnLci3kg3+WjR7eK+YV7kgykfaqOYj4VKPizLwsUXX4yf/OQn+M1vfoPDmSRPcfLJJyMajeL223n9/R07dmD37t3YsmVLd464FxDcLmwgMvKhZRKO8Ag7zu5PqOvl3nsxOEhK/QJkPrIwiUqlri+VP1jMR6/Jh5fLBbAn5m6sczZlvOgi4C//EohEEKNdWOuCneguIh3VUS4DO3fS59lKumxZvfLhhlDrw5aiXTEfgZUPEXRmj2AKMzNc9VAUIBsp8uhWuq3a9IYN5P9zc4jmp+1LVS7Dl3yMUeJwSB+0iZfb7aIosA2WVSohpROjnVtHyMdIxV/5sEwLQxZRPsY2juAZkEZuiSnynql1wcmH+DsrAMYqQVp6zTbmU2UP5aMNsJ4dWivkw81QVziVD4ZOyYdlOeMBWHiFTX494j7UPLlvRkpQPtyRyW7lo1gELMtuJDcb42mp5cmC40vryAfADUpAMPLBYg9s8pFMBiIfYnwSAIznyLwaGwOi61bBgIqIVSMuKY+YD6PokWoLOMhHXVdbIcPGJh/33APAFe/B4E7zFgY2G9dqtYyVd9yABCrYO7DJ2QCRDpoodHcTWgB8DAwMcM9XQ/JBa+kopSKUMk0rHuEXuS6rpkW3izrsvGHsHEVEU1T5MBsoHws14PSiiy7Cd7/7Xdxwww0YGBjA+Pg4xsfHUaJ3b3BwEO9973tx2WWX4Y477sD27dvxnve8B1u2bMEprBRoGOGhfLA2zNGBpIN82FnDp55KHu+9F7AsR1fxv/xL8miadSnXvmAxH5bSY/Lh5XIB7GqHO3GkczKOjQHf+Q7w7LN48k0fxxM4DltXvs35XjqR164gF+/xx0FYl6B8MHcM8+LUQVA+xPRDgCsf2RHK7GHZrK6YN3kvjQbkgykfTJnIZgF1kh5fPM4D+1Ip29grzznjPsRsl0QC9kI2XCIkgNX4iMW8i40q1GCphw7S81JQOeJYAMBA0V/5yB8sIU6zAFYfN4SncbT9vyqiMI4+tv5NAsRjETc+VpwrH1NTwFmv4jde15L45Cc7t1VM+YgazpiPhm6XgQHUkkLGB9PbXVb6tw925nYBnJK8w+0CeNb60IpkcJppD7eLK+DUjvmwLKBUsslHMTqIGu2HVJ0pOr7Uk3y0iDrywSZ0QOUjGhUyswDsmyMXZmQEyAxFsA+UlO3Z46l86IXW3S5QFFQp4anmqRGm8Rw7sBGCwE7wilc4lTCRfNBxrZoGXvTbrwMA7j3uA85NF90wxVDFlDP8CgBXPkTy4XC7uErQs2xBpViASslHYjgFnV5H+5zYMRZaUz60ERf58FAwYinyXZrpXHQWhdvl2muvxezsLF796ldj1apV9s8PfvAD+zVXX3013vzmN+Pcc8/FaaedhpUrV+Kmm27q+oF3FR4xHxqripdN4tWvJkT35JPtKs8kWyQeJ3T4mWccBEWs3RM06NTu1NrVVBcKRj6OPdaZsSDiPe/Bfx3zGXwBn3T3vyJYuxYP/Pk/43g8gSdXvsb5PzoRHeQjn+flyIfG8JvfkJe+xvVWG02Uj0QCGBwRrg39n1iJ1rPUtw/5qIv3EA0T7aCKnTudm1of5SOVI8RhVujr4iUusSA19RBJ753BEJS1xKqmZv2Vj/weonrUoGHNsQO28gEAT+JYLF/TePX1Uz5AjbRRKOONbwQe2cav5RM7E7jqqoYfGwhqirpdzBaUDwDqGkEi81E+7nigM+UDaBBwCnim20ZoEzUr0zzmwyYfADA7a7dWr0bT0CPkOKrTAZSPFlHVfJQPgXw0Sp5xKB+qiv1T5B4ODxOBdA9osLEP+TD8yIdQtcvtdgFIzyhA6I5NJ+s0huuVD00j5f0ZxEVV+H3FxKMoI44nTr6w/iRByIfXnGtKPlwDmLVbUCtFe+OaGE7a51TJOcmHPtsa+YiMuthiA+VDs+p7uyz4gFPLsjx/3v3ud9uvSSQSuOaaazA1NYVCoYCbbrrJN94jNPDIdonqPObjmGOARx8ldW3sRSUe5+mq996L176W+CRPO423wQBaiPtgJcO7mupC8fa3E9Lx2c/6tz8fHcXPNn8Ku7HeU4YEOJGqM/b0iVVjZNA/9hj4Fj6ZxNbH0sjnibjiFW4CwKF82NnWriJjIvmwU5NzQlh6APLh2Pm5gk1tsMItzz7r3NT6BJxGDhDiwMiHr2GnJE0rUd8/RhBdS+ZGbIq6bg7BmWoIoLSPkI9ZZQgrVioO5eMRvLipKu8Z8wHY/TCMUgXbtgGrBnlK5tr13RmHzO0SdZGPZhxbPaw5+SgpxOA37Ajqhp/y4Q44BRqSD4c/350WRSdQAWlUaIdVcYWrxVLQabCsPltPPoQO6m1Bp+SD1Sqy64wEVD4caeGZDHJ5YjNGRshibJOPvXvtCSWSjxojHz5uFwMqtEi9HaoqwvsNw2YAMxjyjhVjcR9Ag0EO/BhvR3Sla4UXAk49Cb/QZkckHyzbxU0+VFpLJ1IuQKNrR3KEkw+38lGaIvekoqaatUcCAMTGmisf8TRVPqxFqHwsWriUD8MAYrQlNSs8dOyxHn2YBNfL5s2k4efNNxNSzgxiq8pHTwJON24kjKBJpVk2CfzIByNmdeOXkY8RQfkQXC4sCPfMMxtwK7piO9wuQpGxZBIYGuXXJj9DJhgjH0Ys4f3hdMFqqnyIEMhHEOWDVY+d9eloy+BOz5vEKBKHE+agTU8iiioMo744HSMfc9owli+HQ/lolXw4lA9h3A8MAN/9dy7Pdwtagu4wW1Q+HMFB7P64toh/e2UKGzf6exI9EUD5qFRoujy7sKwJDIB4lTBjZdAj5sOk/VSETIaSSl2BB7mrzYzG7UydGt0BW7nuKR96hIxLq+AkH0acdwEO6nYRq8gODRHywQqNmc9z5cMz5sPH7eKXal1TBOVDqPc0i0Fv8vH613OlWDBKWjzCq60C+Dd8oP58u6x8aFlKhKsFaDo578RQwpd8VKe5GhUku9FNPhQvt0uaLDoRD+Vjwcd8LFq4Yj6KRW6UWMllTzDyQQuobdpEF55SCd+2LsTb8aOWlY+ekI+AYGupp9sFzZWPFYPkZJ9+Gqi+wMkHK7p21lkNvpyu2EOYse2O5VI+Eml+bWYmDcfB2q3i3RACTuvIh1Dd1AEf5YMFZrpjPtiFaaZ8KC7yMYURpNeO2Ez1qAw5HnfcR/UAOehCdBjpNPBCwkk+fIN4KcSYD9H2aGnyRzZaxq23ApuPKtW/oUNo1O0StVqI+QCcQac+ysdLTk3jj38EPvnJFg7Ij3wIygcgpNsCDtUiXiGrkjbo4XYByECh5KOIVB35KCCNSFSBSfvSMPKsT5JB31Xy4VI+mCKiKM7GuW6IygebV9ksWW9F5aP23B5YXm4XSj7Mkjf58FO+dFUgH3SiFpUUdMS8ycfICPBXfwVs3kx+KKJR2FVed6c34W68ypd8+CkfIvlg7y0U/MlHdJBcpySKiOjc7cIIlZt8MLeLo/VBAyRXuAZFC8qHUakhQnvqSOUjbHBlu+TzXI6NDTYwxCz3fscOZyrVz3+O/1P7Dv4Onw9MPthC25OYj4Bwu67d8FU+6OKQzo9jeJhscMcfJzO6OjSGB0k5CrzudQ2+3CPgVKz6mkgASoRfm9kpOpnYbirZmHyMYhIz01bLyod4TVgxrjrlgx1TM+UjWq98ZAcVOyZnY9Y77kM/QEurx4ehKICxYjVewGoUkMJDOKlttwvrBPqNL5dx2mngN74H5CNmtal8KApXPAYGnPOjHYWmQcBpLMaJdT4PLnVS4mBZQLJGycewQD7ice7OLJWcyodCj5GOtSJSiEb5eGWBh/o+8v+DyvKOhada1Jt8lDXywdlsY++uSD70GGEpbEzHYsD+CCEf1m5nzAdzm9jko+A0fiZVd/zIh0P5oBN1BkMAUB9wyvC1rxGfuBBsLpKPm0Y/AECpJx9CwGkj8iG6XQD/gNNIlhevi5ucfDBCZWfwsHOdI/eENahshtSAhjnwMcfcmSKY8mG7hijYpgmAJB+hg0v5yOf5jkhJNRgca9aQkVmrAU89xZ9/9FEApPtl4CqnIVA+grpd6pQPui1R9u6141kPPUkM9n59DKZJ3Fa+BgRwBJwy5cPUnQGn4orFyIdaEjraeoEuXAlUoJSLttjhVePDBiMfu3cjHSMTuVzmRrWCuCPmwz6mFt0uUxghO1BKPo5KE/LhVj5YB9Fyinzw8hUKXon78FL8DjPKiF9/MBv+AafEEI1l6SDtAflwdCtth3wsW8bvu1BiHUBXyIfodgFQX2gMsNlguQxkaFO56IiwIimKM91WIB9Fxal8FJEipyPUhQAA6wVy72cSqzouMsjIhzsAtkyJUCOXC+B0u1Si5DjFyz6VIuRD3bMLCg2OmMWgHQRpliqORwbW1deXfNCF2igJ5MMiB9tM3XMf/434C4wfdhK+H383AI9zbuJ28Uq1BfyVD3WAXKc0CvaYSo4k7XNykw+DusQYaWmGdJrbFwBQE/VR1okMVT5gwqzxwDFJPsIMV8yHSD4a+sgUhTfbeuIJ/jztrpZBPrjbhcV8hFj5YPyqLqOVsYoXXrADSv9wJzG2T0+T3WNDlwvgGXBq0QlkQSW2QtiuzU2T68XSF5kxr0MmA4vuUkYxiV27yNMNA05XriQXwzSxQXkeALkmdeTDR/nwc7u4K0fmYqPECFPpYn2cB52KsKYI+dBTQ/bh7sZ6/BHHYmyszg7WwS/V1q8nSS+UjzgqDjLZdJizebVpk/N5cRX0Sq1uBru8er3bBXCRD6Z85PNAuYxCgWwoACA26ooK9SEfBdS7XaJRLrezwmPKBCEf+UznwflGzLvoGVNhmrWJEZWPssbTbBlms4R8RA+N288VtSyMqJt8OI2f1UT50DXh/YLyMTLS2pCMxYAP41/xHx/ajj156s4dcr2oScCpV8wH4E8+RFLLxlRqlJMPO4OHgSpe0cGAbpekk3ywFHYRrLs4AJQLQjl3ugO2FKW5segjJPkA6rJdHOSj2ahnRlKsK07JRxqF4MoHS7UNaczHY48B3/8++d3VEJeTj717cclHLQwPA/p+Ymwf2kN2j03Jh0fAqUnVIC3GS84btA7K7JQBywK0MjXeGZ+FSFGgCEGnzz0nfJ0f+VAUW/1YV3sWAFU+qFHVtQThQR0qH6UEtehU+WCVUt3KhzJDU20HyAeLSkeQHWGzgNNekg9WNjuGKgydx/A0tYEvehGpoSOk8QNwBp22o3xQwjIYq3e7AHBWOR0c5Mb60CEUi8AAVT7UQRf5EIODGpAP5nZR6E6ZkefIQbKQF7KtFRTzAiMfrNgVm9AFK5jyIZKPIo1ZEcd0ZWiFXZMDACqIIZKO223eTVa0jpIPVi2VuZj8Ak5Zzyiz7HS7+FZF9gHziFSr8M/uEZQPr9o6fuTDL9uFjas0CvaYimaTdgdwt/LBSu3HhoONYVUFcqqgfHi4XZjyAQDlnOB6oYuQEU34ZzvOAyT5ADyVD89+AF5gfgamfBQKwLNkwcqggHLR9HmjC5R8KNr83ZJGysff/R3xeb/97aS+jwPMOhSLOGJ0Ft//PjAGMqOfmhlDNMob2PrCFXBqWYBlkGsXifFrYlLysee5GnQdSFhkEquZBpNYCDoNRD4Am3ys1cm9LJWEHR1r6tRqzEfc6SeuZOhCSpWPFfAuNKblCPkwBofrDjdI8Uv/VNvekw/mdomjAqPaYufmV76y/gS7pHxkI97Kh6PKqaI44j4KBU4+6qJCxckjkg+64LvdLiw7QisXAMNAbIb4AyvDnSsfZpySj4qTfOQN8nwrbpcC6pWPTFbFC+CMYA5ZpFK82ZndK6jsDMRmLiY/5cPwcrt0QD5KJb6Ratft4hvz0YB8iGOKEapayRmHoZbp+BsJTqALGj8JpiiKYL1dAKCc50GnSoWSQI9mdPMJST6A+piPnNW68sHIxxNPOGqqO4pgNUII3C5+MR933w3ceiuJ9fvc5zzemExy67R3L17/euCkNcTYHsQYTj01wDpBlY9BzMKomaQ0vaB82KDX56knDUdpdWbMPSEGnc7Qr8uafJVvQD5Wlzn5sBj5YH0VfJQPP1mbtbxm0Aecyscy3TvgNJqnBz1cr3wEIR/iYXrFfNjyXA+VD5F8BFI+/NClmI8BrbHyYdf6EOI+HOTDXYyDXbPZWTurp4Qk8pa32yVC60JEqwXg0CEopgkTCmojHmOxRZgJciyqS/nIGa0rHzmzXvlw1PoAGfci+WCkg5FaFjTKLqov+YgIygeVLDohH5OT/Lm6DCLB7TI1Vd90tl23SxZziLLXJJMwNZo1VHIqH5EquSepZS2Qjyi/cYzUOz+UH1MlL5CdqstuhQSSfAB12S7FWZ20QQaa50Uz8vHMM2Sy0WBThtpM3uNNHmDZLiFzu1gW8Ld/S35///t5D5s6MAtB+2CsinLyce65Ab6cWjcVFrKYI+oHVT6icT5MFZox8vQfneSDBXx5QiAfDMsiM7z2PVtgRFDysbLE3S5sR2dPYtciHRkdEk+lDu6Yj9qgU/kYKnkrH/EiUT7UkfaUj3Qa+PCHSZsehxHuY8xHBIbt9w4U8+EHRj5isfb814x8qGTcNAw4BRzKR7HIYz7qyAe7lkKt7hKSyJveAafRIfJ83Cyi+jx1t2EMmaHOffIWVT7UqjPgdK4WPOCUkY85oz7g1E0+5pAlIVJ0XtgBjhUn+bCapNrabpeKU/loGKjuc/wAJ/GplEchOkH5ME2egs8gko9UiidZ+WW7sN2VaGOQTNp9sNzkI6q3Tj7KscbKBzQNJohbRVQ+1JCSj/BEn8wnqOGIwIBRqaE8LWz9mxnilSvJzJyaAv74Rzveg8GYK/i80YVellcPCC+3y89/TsqYpFLApz/d4M1r1pBzp/0YFGps/+2mMRz7pwG+PB4nB1Aq0biPIWQ8lA/WkGr/Cwb27/fpaOuGB/kYNajLZWjIuz43LbG+PCcoHyxwK+atfLzjfVnc8gs4Su2LcCsf1rBT+cjkvJWPZJmQj8hYe+QDAL76VY8n+0A+RD8PUwG7ony0m4/aSsAp4FQ+hgMoH5R8WIqCqhXDHCMfdBvOYj6iw1ymLz03jhiA/VjVcY0P8VhYmW+2m5jVgysfzO0yXXOm2gLe5COVAoyiU0lTKv7Kh1eqr8UaVpYrgDVjv/foNpUPNo88z5e+aCCuAxXyWjGciJGPw7fdCGXPDLLZD2F62uKqho/bxe6gCwCJhC/5iNXIPRlY0QL5SDQhHyD3LQYd1QJXPpQqs1vhKTAGSOWDQFA3lEoZ5Rm6w4XSPDXJnfHiIh8swtvGjh2OBks2zPknH15ul7vvJo9/+ZdNFjpR+SiXbUNz/GvGgp+SEHQ6N8drn4jKh0prfWgwsG1bk462DELAqf1V1QbxHoCtfCyb2wnAIusz3dGZrCGbuEin0/jsFyJ45BEPiZfCrXzY1o5e2PjMOBSYGHjhj6RvBkWqSshHdGwIQOsBp77og9tFnD+s10jgmA8vsGvWIfnwqvMBuAJOAafyMVfjTQz9Yj6mp4W/FeRNepzUFcvcLlqG14Vgysc4VrbawNYTVsKbfExXWne7zFTrlQ9HfxdwtwtrZW+TD7roTYMyF6HCqReY26ZbAadMQfQ8X7rhGEwRUuAm/Pk8EIGOTV94F/BXf4X16UPQIPhmfNwujNRWVBLcaUYFV5KAhEleN7gq+DiuJpq4XQDUFHLylYIQ81F1bZpCAkk+AIeBVKoVVGfJpK1FAkYHixkvLvLh6D3y+98DmzZBP+9CfO5zpMPrP/0T/V+IlA/R7cLkyKYGQMh4sWdyJNLc0okQgk5zOdjXJBKvj/mIoIatWwOSDyHglCFbogU//Ipk0Pa7icocRjBF1mU6ieGlfAQ4T1H5MKAitizrOAa1pmMSo7h937GkQRANiB2okQUtvrJ95cMT/VA+IhFbCjbztBptN5SPdoJNAfuesUDltBpc+dCnGCNBU7cLa7FuZ7tQ2HU+6PGnUER5FyEf+7GqrlN8W6D3j1XatMlHmTzfLNU2GoVdrfRgmZxnEOXDYrI+nSdq1eV2yTPy4W3j2EKNKicfsxhseYwzIbOh8sHIR8KbfORywGF4wW4GeFhqmrtcAF/lg0HXyHiwIvXkw9QNJGi588GVweeanuInwmKp3DAUclx6kSsfrNy7JB9hhKbBooMpapZtt0stElCmYhkvt99ORrGiYHyAlsAWOjmaT+4AABRu/Q0+9SkLzz8P/Pd/k/8pISIfovLhqAjaCKLywbYcy5a1ltrlVj5YzEeinnxoMIg7qE23SyrfRPlIJm1Z4Qg8i3IZUJhCwMiquEi3SD6mMILskMo/b906AMAwZshz+Txw331ApYKkResGHDZsnw4zsK36wx3oB/lQFLu/hVnoAvmg16lpZTU/MPJhMvLhVD4c2S6AQ/lg5ENXY/WuOpfbhf3tRT6iUTiyI/Y8QNNsB1b5uuxaASuM6CYfk6Xgysc38CHcNfBG/NQgbKhZzEcqxRc3ttNmi57tdmExH4q3jWMLtVWpwhKUj1ZvNVM+mO1q6HZJkkVaJB+WRe7/Ouy2n1uezLVEPuwqs7F68jEzzuufDB8WXPnQ083Jh6nS4nCC8qHqVPkIUYExQJIPDiHjpTRFfdOxgEaYKR+sjvjRR6OQojsmwcWy40ESrDZkzeAlg7sACAu9Gc5U2yBdMAE4lQ+hqVxLcPd3sZUP4ZoI5OPZZ1tTPhj5yGQAbbIJ+QDshW4t9qBU4ka1bfIhpMJNYcSp3N90E6xrvo4t2gP4L1xAntu+3bagJhSkV5Pv0DTgG98A/vEfFwD5AO9WCoF8tM2xt2wB/uu/gH/7t/beT8kH87mnVOc5N1I+atOEfJSjHm1nXeSDEQA3+WBuF9H9M/UEUT5WnbiyK02t2XdHa86A04OF4OTjV3gD3r/q5/jDLNlUuMkHay4H8IBTB/kwDKgGWQAZ+VCL5KKafuRDUD7MqRn7va2aEXcsaCPlYyBer3wUi4SAiORjWSLfmHy4Nj92ldkoJ1QMM/u4tNywfYcLZoaciAHV7uPihkHdLg7lo8bsloz5CCeEjJfSNM2LbpV8MGzebPdEUIpc+agc4rLt9z7+ewDc3iuMfETCFfPRkfLRqtUQSqzncrAzgKKi2yXCSgiT62WTjxaUj6Y1PhjolmsMB4nyQWVkhRX46cDtMolRJ/k4+WQof/1X2DX2MmzFKeS57dtRO0hcLrMYxOAwn67veQ/wN3/T9Csbox8xHwB0Rj5Ya3eo7dc6UhTgggtIvf524CIffgGnLHRDVD7MWUo+Yh5BPR4xH4pClA4RbrdLGgUMlonysemMLgR8AFDTLvJBr3tQ8sEW79lZ3lLB7XY5hGUkrgE85oONJ1WvONp5s5gP1grBz+3CVAKlWrENjzI0VJ+p0gSByAd9USZWr3yweJ914HFXo7EmyofL/thrR6yefMzup712lETjJjsuWFlyInaFZQ8w5aNarFc+wlRaHZDkg0MsNDZDJi1LWWuKsTHnIrZ5M2q0G6Ra4OTDEtpEjzxPyIcdXxGyxnKsVEnLysfkJLCb7hhaJR+CH3xujhOyqIfykYgY9mvF93rCFXDasLS6CHr8y3EApRKfxApTDFpUPqJJl9vFYw0bGwO242Tyx/btKL5AFrNpDHcnE0KEW/lgg7HbyodKjR4lN+Y8ppOzRSJSq0CFURdwyjyod95JD5eN4YMHYc2S+avHPZQPV8yHQhvVBXG7rAJRPjad3nmBMYCTj5hBJzK9rwfywZUPgO8hIhFnF1zimlJwIEbmPHO72OSjWoHYV4IpHxHqhjEV72XHVk4qZah5WsZ++VDjg/VAK8pHOlqvfDDycUSUKx8jMa58mIpaTxo0DTWhiBcr9GZfTKHx6Nw4JR9qa0HT1uAQgMbkw6B1RcSiZpEavRceJdnnE5J8UChioTEacGo1q/EhQlQ/Nm+GkSCz1W58BkDJceUj8/RDALi9V0KQ7eLuDA60oHwMDfEPeOQR8tgq+RCk6FyOx8HEkvUxH0ducCkfAdwuw5iGApOcy7595H+NHMqUmIzhIEolQGPko03lQzyPOuWDYtky4FGcQBboAwdQ3U4CmGeVIc+M4I7QJ7eLTsmHQqs6Wj6ye18g3LMk6TtL/qDXYssW4m3L50lhPVv5mJyEMkeYuJ5o7naBD/koIE0by/GxvpJWttXWdEf5YJ1So2bV4fadmAtW4ZSNM7YfGh52hm6xuJjnIySubQIrnOSjxslHDRryEJgL/N0uzEWRLE5Cobuf5MoWAtbZx7RAPlIe5IO53DaonHwMaTm7tLqlebs8anHhXlMXhxKvJx+Fg2QeVCOtkY/8uuNwC96Mf8XFvuTD8lA+mNtFkcpHSCG4XXRWlTTRghFmWyaAkg9aPrnElQ+lwMlH4kmX2yVEAacAP67AyoeicPXj9+TcOiEfc3MArPpUW3Z9jj6CTK5W3C4qLAxhBkODFqnJAjSomgabfCzHAZTL1KgC0Bj5aFH5iCcU1Kjk3Ej5KCOJyZWEzEbu/F8AQD7iU7msEzDy0Wu3CyUfrKT0fHZuFs/tR98uIqM5z1lVgfPOI099//vg5MM0kZ4iMnwt1cDtIpCPaLS58rEMh5BhY3hld5QPR5t2oehZzgie7SJCjPcAOPm4YuBf8MOXfxG34s1IpXizM9HtUkbCbm/P4Es+mBpRIKpkCQmMrG49TsFN0j3Pl55kMuLvdllrcbdLVuXKhx/5MBPCvabjoRH5qMVaIx+JTAR/ilvwaXzG3+0SoRVVy4LyYTDFVpKPcEJQPswi9e2nWjDCTPlIJoEjjoCZImyfNT4DgEiBu10iB/ZjOSZQqdC4Sqp8sCJa84FolLsyi0UyX9h61FT5AHjcx9NPk8c2yUcaBaJ8MLeLR7bLURtacLvEYrDS5H6MYhIbEuNE0lHVxuTD5XZhOwi7wI+ojAUhH3FevGkSo55vYWvd7jHieklvvR0AUIj3gHwwC9Zj5aPGyAfrNdKNqMp2oSj2ODv7tALUSn0Pp//zf8jjz38OzBRjdk2PoWlScM5IN1A+WNVcqnx4xXyIAacxtpvOZJy+jQ7gIB+0uJkVi8FABJrWPEvZvXi7K/Yy8vH7ynH46VEfQxVxB/nQBOWjjARKcI4nP/LBFupMiZCPdjJdgNaUj6Tq73ZZbXDlI6vkmpOPpHCv6dqhJGgci87JR2mSBl7HWyMf4n3zE+WZ8lErc+XDJh9JGXAaTgjkg0mxSroFI3z66WTUn3kmSd2lLd6jFa58aKWc4y0ngigE5XI43C6AM+6DqR6Af+EsB5jywQJGOlU+qO4bS9QrHy25XQBgGQ86Pab2B/LcUUc1DsISlI9KyUTEJAuFTT4UhV+wFslHI+UDAJ4aIDmX0Tmycy0leqh89NrtQrudsqJXvjvffoGpZEIfFtGab95M9hLVKnDTTbBvyrJZQj4sL/LhXg2auV1c41XpkuoBAPGUhgpNb2bkw0zQ3iPZ5tnvbvLhp3zkcs4hw8hHRCAfFcQDKx+MfLAaPDMYaksMaoV8xFVv5WMAcxgwuAHMQFA+It4RsMzmAzzuRo3Xk4/yNCEf7J4EhThkmikfLObDskj5CMC7E+58QpIPBsHtwsiHlmqBKW7aRPq7fO97AGDvtCNVrnxES0T5qEbJoGPko1gUsl3mMdUWcJIPFu8xMBCQE7krkXUY86FaHjEfVJo5fJ1L+WhS8VIRMl4OLz9JnmyWMSHEfLCOtoCruiD73oDkg1WObBTzAQCPRk92PF9NLVzyUaPkgzXTms/miQD4PRNcEuI5Kwpw/vnk9xtugH1TlhcI+agrMOZ6P/s7SMCpjW6UNqWIx8HVBko+jFiwYFOgfvH2Uz50nSf3pFJ8cdMMp9vFrXxYPgGnzAZny0T5mMVg75QP+qK4QkjBzAw5H4DEfKwVMl0AIGXm/JvKMQj3VGPkI0nJR42TjyolH0qL80w0cb57pohT+TAMsqaR75PkI5zwUD4c8mUQrFvHZyYdiLEqVz5iFaJ8vLDulQCAl6oe5GMeU20BZ7otUz4CuVyA+qITbCUNCne2i+WvfAxnDawYM+1yxk2VD7p9G8EU1uSo8nHccY3fQ8nHMhxy5B+rIiltQfkQe2ZMYcRzDWN8bbt+goPxVTMLN+bDoOSDNdOaz+aJAPggF9ueuqz5X/wFefzNb4DyALkpK0q7yJNerLEF8hGJwOnjBLoW7wGQceYmH6zuRBDy0Uz5EL1DLGlMJB8Rw+l2Cax8UBdF1CIsoB9ul4hVtZUgxkVzOWeNDwBIGnk74NSPfKhpzg60AXK9NXpOqkA+9FlKPtLdVz7givmoVjn50CT5CCkE8sHS7yIDHRjhATJDYzpXPuKUfOw/5jQAwEvAg07ZQhsWt0ux2KRCoBe6qHyIqbZe2S4wDLx8s1CQpBn5EJSPFZMByQd9jwYTQ6X99tOxtGDdGDMLQLTicb4YzSVXeN5q9jEvTCUdGVRmdgHHfNAUxJjOAk7n2ey4yUeivo3C4YcDr3wlka13zpGbEreIEVcHAygfKaJwuBdeu8gY4ByzPVY+mNrajvLhJh+RCD/dCeIhcZCPqFF2uV3cyoe3jWMuCoaekg/6IrWm28oOc714kY+E3lz5EDtrRzPkvmu28sEDQGu0x5E20Br5YMNWURo0dKb/MCrkWHWdkw+1FSW/D5Dkg8HD7dIJ+VAztGW2zpWPhE7cLoeOJeTjSPMZDGDOoXzMZ8Ap4O12aUv5UBRnm8ggcLtd4K98oFbDFX8jNKFptmAK5GN0IiD5iEZh0s6zy6tEhi0jjkRSWKj++Z+Bv/s74JRTGn8WyBC7BF/Gp3El9gxu9nyNUFDT0R6X5fh3FX1yu5iUfGgWNd5hUz58zpepH4/td5JobSh4zIcFFTUhsNB2uwBO8tHNmA+RfNDtfEUjxxBkLjcLOAW4+sEuYSrFY6E0y7BTfMtIIDHkUj587j9zUTC0Sz7cx99I+UC16pxzcLld6AWLV/NNyYc2yO8nq1zKyIcmKB9mjtitSLY95cODK3PQwcXIh6h8qD6dcOcLknwweLhdOmGKapbMzkSNKx8JnfaGWHO4vVC/GI+QAlZWeN0ugZUPkXyMjLSu4riUD41ek0TaW/k4aSO9tolE8++i5OPdW55CfJZWT9q4sekhWWPE9cKMUQVx5zrzhjcAn/tcoHONx4Gf4m34DD6NwSFv6yGUlYB5Eo/7UEZ6HPPx9NPc/dJtt0vEuRrMa6ot4K18eOA1ryGPj487Va3IcPCYDwAwhPoPtttFPA6g58pHRe2e8gHUh70kk64277SgYhkJpEed19dP+WAuCoYZDDWsAegH9/F7BssL5IPNOU/lg25QomWufCg+5CM2mBJ+J9eftVTQDKGrLS3uFBtqjXwwwteo/JQSJcdmVojSouu8c7MqU21DCg/y0YkR1rLE4CQMqnxUKohZZABGR7PAiScCIEGnYYr58HK7BFY+li/ni3CrLhfAqXzMWfbTXgGnMPjuKlB7dUo+1u66m/y9YUOgzqjKcnIezBg1qi7YDOL7/LKHmCE0DCB3NCcf6mgPyMfgILdkIhHrkfLBELqAU5/zPe44cp9e0J1jOToaPOYDAHRKPmpKBDpi/VU+KPkoKcHJh1vW91I+3OQjlXIFYtOdSxkJpEaDBZy6szEqyfYK64nkI5WqJyOOF+l6IPKhlQS3S8yn3rt4P1ln4RRVPswq+zpoNPA6Ptwa+Tj2WKLGfeITDV5Ej82o1isfsrx6WEGNcByVupLL7UAbJDQ1adIFUqhuGhvJ+JOPEGW7tKx8aJrdCbZT8sHqngBAPOnhdjEMXh42SHt1tn3bT2M3mrlcKJQVZOu1BnsBUBm5TUEsCPmIxXjF95/vOQE12iJbW9Fi8G4QJBLAHXcAZ5/N06NVtfvkI+oyemGM+fCAqhJv2iE4r31stDXlgxWTYq6P+Yj5KCA4+QCcrosgykcq5WycyJSPCuIYHI3YxfWABm4Xl/JhZYeCHawLItnwPd8WlQ+1mMe6VWRB1+I+ARfiJoiOh2iaBrZS5WNqimfotUo+VJUUvrv88gavocqHJSgfknyEHfTGdEv5iFD/X8qkygclHwWkkByIAC9+MQDgOPwBpaIFFcT4L+iYD4AHnXZIPli8B+AfcGorH0HIhzv+JCj5WN7E7dICgpAPALjkEvp4eRL/eNjX8AX8LdQjD2/vS5vhlFOA//kf4LHHgIsuAq66qkE0W3uoJx8hUT6axHwAJOj0IJxjOb4sWMyHvbmOkvHJyIen26VHyodFz7FoBs92AZzkI6jyEU8oKIPea0H5GB2FI93Wz+3CVAIGdWQo2MG6EIh8NFA+CjnT3mwwO6Hkcvj6V8iCzhb4OnhUAWPnFKHKx4EDnHyomdbIRxAoVPkwq/UBp20brh6hu1ZmIcPL7dLBzYoMEeUjZRXIrpLuBHIYILZu7VoAwGrswx/yfJc/326XjmI+AB730RH5KDk6SCZS3gGn7bhdbAQkH+w8+kk+PvYx4DvfAZ58EvgUPgQA+HnrLS5aw/HHA//6rz35aDPmIh8LxO0CkF4v33EpH8kVrbldqjGyKJVUWnjQrXxoWutp6Q3gFXCaN1tTPsQFPKjyEYvR+YGKg3yMjJDHAZCNmF/Mj+YKOI0sGwp2sA2OvR3lIzo1gRh0WKoKhbkj83mkYsHrfLDxEMvwlF7LcpKPQHarRagxemw6T7W1lXypfIQUgtulG8pHbJj2doFJAvqo8mF3gKQy60qMo5znC+18k4+OYj4AUmwNAI44ovUvFyZjBjxLKJ7yUD5qtdbcLm7yEbQl+zwoH7EY8I1vOJ9riQCGDJZL+Zj3gFM2Xpq4XQDgFa8ADrmUD89sl0bkI0K+j3UxtdcudhxirFQX4CAftArYnMErnAZBO8oHIx8AGisfPvffrXwkVrQ36MVjb4d8ZGdofNfoam78dJ1vdvzIRwO3SwxV6LqLfHTZvQkAaryB8iHJR0ghuF26EfMRH+ELopUvOJSPVArAihUwoSCKGpSDB+zXhoV8tFVkDCDRUDfeSCT8dr8cTvLhUD6oYoT77uvM7dIi+UhRQtpJwGkgo0hx2mnAe97D/w66aIQR1gJWPgYHgXXHZ1GFsJ1uocIpwLuXlhVXzAc7ji7GewDOImOsO+yc3h75SKfrU1cB5yXQNHJODvIhxHyMjjrrnfjVeXEErAJIrR4KdrAudOp2GcrRBoKr1jkrqrHdWBvKRwxVlMu9Vz60hDPbRQacLgR0OdslntJQohNOn87DmiPKh00+olHkkmRhi03wUr5aLDxul5aLjAHEur3zncEIgRuaZk+QAfAAXYfywbp+/fd/OyscNcPgIA90POyw4Cflch/1OuBUxD/9E+E+qRTnXAsRbvIx30HV9njx6OvihS2vVOygUwM+Abk+dT4AoEyVj6Li43bpYrwHQIZ5RXEe42yL5IMdo5fLBXCSD3Y543GBZLjcLu0oHwNrh4IdrAsi+fDdOPkoH6YJjBaI8mGuWUeIBru3rJa8Z/oMPMmHqHyUy8Rk2etLD8hHPMXLq1tWuGM+JPlg8HK7dHCzEgkgD8Kaq9MF1KZdbhcAuQzZ8SQOcvIRFuWjWGxT+egU9OKI5COZFobpKaeQhnDFIvDd75LnghAdVeX6cdB4DwDuQgOduF3EHWSQRWDZMuCRR4BHH+3zPeg23DuusCgfDE02Ga98Jc94yas+ndlU1XmDU7yYWEWjMR+Ky+3CdtVdVj4AQI84z2mmQv5uVfnwcrkA3uSjkdvFqXx433+2UDMMbRgKdrDuz2lT+ZiYAN7yFmB5hZCP2JGU8bOTbaZ8iOOKGgnWLK9fygervqyaut2ZXMZ8hB1dznYR+zro03nok66AUwCFLElLTU3ttd+nRsKTatuW8tEpPMiHw+2iKMCFF5LfH3+cPAZVWZjrJajLBegq+VBVbvOCLgIrVwJHHtne94UGLqMXmjofDE3m+ZYtPOOlqHm4XLw+R1Q+KPkowuV2+Yu/AF73OuB97wt86EHhJh/TlfbcLq0oHyL5sAS3S1DlQyQfFcQwtra9idZSwKmuY9kocU2VSiTxa4NKNoOJY9aR17CTZcpHC24X9j39Ih8R6naJoGY3y5Nul7DDo7dLJ+RDVYGCQnY2+gxXPvJK1p4cpSGy48lMh0f5YPOhUJhf5YPFfJhQnOXMAeAv/9LzPU3BtjitkI+RESK1U3QS8wHw+b+QYzhaRtztdgkZ+WjCJo8+GsjFyNgpRxuQD/FzBPLBslwK1O1ir13HHw/cdlug0vytok75aNPt0oryEY97Kx8s28WGT8yHSD5mMISVq/xqiDeGOLyakg8Agynd/vOII4CzNtEaH+so+WAK1QIgHyzVNgpdko8Fgy5nuwBAiRqb2mwexjQtNywYr/IIUT4G5zj5iMTCoXwcOMDrTs2n8mFAqw94O/xwEpHJEFT5+Ou/Bk4/HTjnnODHo6rIxXkaZCfKByDJB4DwFBljaDLPFQWIrCLKR0Py4aN8PHT4ucCrXoWb0kSx8wsZ6CZYF1sGprp4xcp6oRXlQ1xnGflQhN4uQbNdohk+TtotrQ6Q+8WucVO3C0jTt3/8RxIjv307kDpEycdal9ulGfnwyHbpN/lgxxZBDdPTroDTkMV8yDofDF5ulw5vVlHLACZgzBZgzpLFtBzjq051jJCPoTxxu9Sgzbs7nM2Z8XHyGIv1ecxSIsGVD9W7idKFFwJ33eV4T1Ocfz75aRFzieUYqpCMpE4CTgFSAHZqim+qlgIUV7fS+Vb3WlU+AGDwqDHgeaCaaMAafcjH7oEXAXfdhf+/vbMPkqK61//T8z6z7+zKLsuysHpJSHxBwupexLrRy5aE8qJGry9cNBu0rj8TjCIpRRLRuhqDaCUSlMIkVVfNjcaXKiGRKrEIKoYqBNyVGIJBUiGAwrKg7PvL7M6c3x89PdPTMzs7u9NvM/18qqaG7Wmmz3e6+5ynn/M95+yaLv9thviI+FLFRzCY/bHHcj7Ug0DS5nzEGEIApaVa5yP9+VdGhgBAj7s8p/vM55Of+rNxPhAOY8WKWB0yMiIrBCAxYaISrNIPPY6EU+U4bkQx2BdBR4fbWPHh1TgfYQE/YuvK0PmwKbErvRi98CoTXOXofCiJZpGuXogu2fkI+xOPDJFz5G6XSQOy+IjYSHwos5CXlWVYQdEI0jgfabnxxkSjYcRNrKI3lHgEy7XbZfNm4L33nCU+tGt2wG7iI4v7fM5iefK8qXMyPI4r3yNJgN8fb6PCsbp/ZIw5qvREKz4GEByX2zaRnI+kbpcYUa8fkpTcDTTqJGOBRKM+4C/PvrBpGNP5UJ+E4cRy93GBASSCz9b5KC1NjDlWhIhK5JztGMZg30hCDBgwz4fa+ejsBCL9Q4nPbCY+6HwoxBqyMnQltuV4cQx6ZMUc7e0DeuXGVP3kFK2RnY+KIdlmsIP4UCoSpcI0fZSFNudjlKmYUVoqT4SxaVN8qnqj6A8lhtuOuPw5ibHzziuABNJxImlX07TLRa6QxX1efMfNwOAZVGXqslPEcGzNc1VOY9K7Vc7HeLpPlfZ2tCXtxxztEiPqk3+TiDcA5Zlu1IRjtxsjcMODCIZDufX1BoOyjhhNPMX7ZoaHE5UdkJh4rrQ0ITKyzfkIhYCXX46LTwBJ4uPEP8MIYjh5f73ROB9FEYoP+xM7MeXoTGzLsb9hKLamg+juhRQTH8OBxF0rpsjiQ1nXJQK3KU9FmdDWw1aJD8X5EJnMuQ0b5EnNGgxa9yTGQEniaTfisdcNnA9onQ+XXeb5UMjmPi8uBlatyryPcvMoE0wlppIAkBAfZtzjUX+q+BiP8/HQQ3Ki7X/+Z/rPsxUfkbj4CELpzc6U8xOGDx4MIFpSnn1h0/DYY8D+/XJO76j4/fJJGRxMbFMmnlNPSqgEq2TgZzqB2h9MpTRPHg2jSLVshCH92Zqcj6BHJT4mskSwgVB8KMQuBEUIRL0+uHJMjAt7Y4q5txeuXrnbJRJK3LWeqfIsp/FjwmX5Q6FWfJg+rbdGfIzqfADyjWaw8ACAwVKV+NAukkbGpBCcj6wYQ3wo3S5mOB8ikCo+asYhPi66SH6NRjrx4XYDYY34QGyCOcUBie84CsOSDxADEDk+9dxxRxY7VVQAvb0JwQEknA+1ZaJOcAHGpx5dLkQkN9wigvZjYUxSHm4rKoxJvNY4HzVFsvgYdvngtTrRW4O9SmMlGhWqvXknwnBsQSn09cHdH8thKErUAMESDzqgaths1O2iYHW3i5Csv0TDZYlul5QVWsmYaJ2PfEw4zYosnQ8zxEeuzsdYqNtjdarLsFszp4s/kFqeDGv7hCX5/7snuKLtuNDOqw5kdj4UxmldjbjkC6HjszAq8UXq9+uJJudDcXVG3Part6yv2e2Ctj9Mh6ehsE++Q6W+XngHZOdDFCcu5GAQOInE7IZ2EB+2cz6sXoQMwHBFQiBGvfYarpYPuEMOcT4UEaNMrW1hwqn24Wm8Cadj4XIlcirVP2dKI6fOg1HIcP5HpNjQ1MnlOpRyDJSlE9TiIxvnY5zqUREfpz83QXxonI/ogOx8UHzYmTRrM+TKSCAmPvr74B2MzdipqgFCIeAEauN/M+cDtnQ+RirV4sN+N7Hd0YoPq2fxhceT3P+td7dL7BpWJ5wKAUQi8t9mOB/amPQWH0DCEFCLj8go4kMthjLNcDsca6gDNeW6lDEjJjkfEbccU9cZc52Ps2cBMUjxYX804sMVzP0JNxKIzWjYexaekVjiT0my86EVH1Y/FNrN+bB8+XUAojLR7ZKyQisZE634sLzbBUi7DkfOZOh2UY/mNEN8SKHEjTzi8mIEXnPEhyYhW8n3kVT1qZQh98Afm+vjvLnl+hQyE5nEh145H0iIDx/CqELsWAY7H0q3S1x8eOzn2FJ8KHg8EKoxlOqbd6JEgvJFG+w8Gd/mKkuIj1DIft0u2nrY8tEuNnA+xDmquR1sNlwtH7C9+DAh4XRENcjBDHdTXX+F3eObWj1bshEfrlAgpTyZKrnqO/4Doq4OFVddols5RyWd+PgijTOhk/Phg3nOh9LtIg3JOR92HKVnfc1uFyQpOSNbhwopGpSdj6IuWXz0I4hAceLCTdftYrX4cLmSBQidD8BTWYYwYo+rFB/jRj1tNlDA4kOT82EX52PQYPGh/vlSnI+Y46GIEACZc36eegrSsWOJfAwjUcTH6dOJbQY4H1FPGvGhHFtvRnE+ohQf9kZtDeoiPkIx52NAvqC7UZpU5/l8wEmV+IjCZXnOB5AcutU5H5avAwIgEJTio5KU7H2SPSnOh9XzfADGdLsorXHsXZ1warbz4Ql64wsiDkryDa23+Fi2DLjkEmDBgsQ27VB0ZaSTuzg75wOAeVMqm+R8iHTiwyTnQwzJ4sOOUwTYoBawDy71fAR6VEiaNUd6UJJU50kScDZgr24XILletkp8xKcgtoHzEQwChzETANBXOmWMvYkWXyi5snZ5rT+nhjgfN90krzl0990AkhNOFedDkswZ7OMPSPHF3JRF5fQWHy0twN69QF1dYpvQNHLuIrke9RRn6XyYyURzPsZpXUW9JooPlfMhBDDYGXM+bDhKzwbP2TYioK/zIYqSL9oelKR87dlgLRCbYM8u4kNdRqu6XeLY4Ck5EABuxov4Og7inJo5Vhcn7/D6JAzCj0BsdU3bdbvo5XzU1QEvvhj/M123iykjXSD3Dg4giGL0oU8YIz7SoR4NFoEL3qDcxKidD1s4X0DmobZ6Oh9mio9Y2XzSMCCAwS5FfND5sDc6iw9XSbLzoe12AYC+YnmWU8Ce4sMq5yOOTZyP46jH2/gWAkEzV9krDLze5Gm3C9b50JAu4dSsblVFfABAX9Q88aEeDTaIQPx+8ZbY2Pn48kt5HPTwMNATmxJB7XzkKD6gEh9Vkjniw++WL7jBLvnJNmrDUXoUH2rUyYQ6VEhSSarzoW1b/UWJWU7tKD5Mdz40XVV2+EHUmtSI5RgKHe2aH7Z48lVuRJfLMDtCnfNhtvPh8yXER09EjtWMe1mo6tAh+OP3i7dU5XzYwfkCEgIgGpVXoVO6XCQp+anL70+uh8brfMRUqB9DqBBp5hHRk9gF5nfJF1y4eyhWBooPe6NzK5ON86Ge68MOk4wBiXpZksx5Wkp7cAUbNFRqMcbBLuPH1s5HbAVaI0jX7WKF89ETMSbhNB1CNWJwEIF4Neovs6Hz4fUmFNmZMwnxUV6eXEZJSnY/xnsSYxdCFc7AqywsZ3i3i3yckX6Kj/xA524XX5EXQ0jMpJjO+VDP9WE356OkxILBJpofqKTM+h9EfSnQ+Rg/WufDVuLDoC4XIDnh1MxF5YBk8aEknGp7Dww7cIwk8VGu+p3t4nwAycNt0+V7KKiTTsd5EqXYhTAFsfmegkHjrrtY2XySnLDvhyI+7FdxUXyo0bnbxe8H+pBwP7pRmvK1aufDDqvaAonQTc/3AFLER7DI+kuU3S65oXU+bGG7K917Bp5QOyScArL48PtNcu004kP5U+182KLbTUE94iXdSBeFHJwPya8RH0bN8QHEk2jLwx0ABALKaAYbWrY2ugpsgM7ORyAA9CKhmEdzPtTdLnYQH0oZTc/3UB9cwQY/CJ2P3HC7k8WH22uDasdE5wMABgbkdyu6XfRe0TYTUiB9zkdwknq0i/X3dBy1+MjW+chVfBjV5QIAU6cCkgRfdAjn4HTc+aD4sDs6P+JqnY904kO9sq1dcj4sdT683mTBYYNJxjyeRDFseA/bHklKLJUO2MT5MEF8qF2Ovr7UbUZilfgYrdslVOqJT3pmi/OvoB5ua5Dz4fLLJ90U8eH1AlPk9qQexxLiI2C/imvcNfv777+PxYsXo7a2FpIkYcuWLUmfCyHw8MMPY8qUKQgGg2hubsbhw4f1Kq+x6NztonU+0iWchkLAPsjrGHyKr9jhQT8euiXOhyQlux82+EEkKfGb0PmYGMOSTXM+TOh2AYD+fvndTPGh5HpY5XwkiY+ixKRnthIfJjgfroCJzgcA1NfLbyrxIdmw4hq3+Ojr68Ps2bOxcePGtJ8/+eST2LBhA5577jns2bMHRUVFWLhwIQYHB3MurOEY0O0ylvMRCgFtmItpOIb/h1/aoa211vkAksWHDZwPIHFp2PAezguGXTYVHwY6H+o2ShEfZna7/A5L0IpvYCv+wzTxoUynDiR3uxQVyWIEsLH4MMr5CMriYxLOyhuMFh/TpslvOB7P+ZBs6HyM+1ZYtGgRFi1alPYzIQTWr1+Phx56CNdeey0A4De/+Q2qq6uxZcsW3HLLLbmV1mh0Fh9+P9A5hvOhHOYzyBeMHcTHuefK7zNnWlQAmzkfAJ2PXLGd+PjqV+X3r3zFsENIkux+hMPWdLtswyJsg1xXL7ZAfKidj6Ii4IzifNgx4fT06US9o/NoF3fAl7zBEuejAMRHJo4cOYL29nY0NzfHt5WVlaGpqQm7d+9OKz6GhoYwFFv8BgC6u7v1LNL4UHe76NDKaJ2PfldJynWrFSN2yPm4/Xbg/POBxkaLCmBj54M5HxNjxJ2ogG2RcDp/PvDpp8D06YYeRhEfVjgfaqxwPgYRQJnKMbS986EIDJ2dD3fQOvHhRgSAPcWHrrVAe3s7AKC6ujppe3V1dfwzLWvXrkVZWVn8NS1mGVmCAc6HOucjHEitAbSHscODvscj182WNbQ2dD6U/BfTJ10rEEbs5nwAsrXn8429Xw4oDxtmOx/asMy6btUrGKudD0kChiRn5nyEyk0WH6puF8X5UItCu2D5I8jq1avR1dUVfx0/fty6whic8xEJpc7yY8ORpdZjQ+dj3Tpg9Wrg8sutLkl+MuJWDbX1OeciV0SAFQmnakwTH6qn/CH4k8rR65EVfDQQ0v436zAj50Pb7WLkPB9A2m4XV8h+/cW6moA1NTUAgFOnTmHKlMTS46dOncLFF1+c9v/4/X747eJlGzDJmNr5GAml1gAUH2mwofOxYIH8IhNjxGND58MEtOKj0LtdfAEXwvDCh+Ek5wMAfla5Fhe3v4WvXXSFOYXJBmWobXc3oHT/6+x8pNhQJnW71KAdn6EOQLIjZRd0faxsaGhATU0NduzYEd/W3d2NPXv2YN68eXoeyhh0nudD63yI4lTnQ6tx7JDzYTk2dD5IbkTUzocdcj5MQml3rEg4VWPWsHn1VPpa8fFJ5eV4CI+nOgFWUl6eqGMU8aGz82G6+KiqgggE4ILAufgHAHt2u4y7qevt7cXf//73+N9HjhzB/v37MWnSJNTX12PFihX4yU9+gpkzZ6KhoQFr1qxBbW0trrvuOj3LbQwGznA6gAB8odSfm85HGmzofJDciDjc+VDER6E7H36/LD5K0Js01BZImAyWzB80Gi6XLAZOn5b/drvTFzCH0S6miw9JgjRtGnD4MKog57HY0fkY963w4Ycf4sorr4z/vXLlSgBAS0sLXnjhBTzwwAPo6+vDnXfeic7OTlx++eXYtm0bAvkwRtHAtV3SDbNNdxi2tUisuwHwBykQ1OLDSTkfSjvllJyPTM7H+vXAzp3Av/2bOWXJmqqqhPioqEi/yrFezsdo4kZv6usB1eSe7iL7tb/jFh9XXHEFhBCjfi5JEh599FE8+uijORXMEvRe1daXcD7STTAG0PlIC7tdCo6I19nOB8UHMHu2/LId6gTQ0VwJvcTHpEnpxY3eaEaNeors53ywZlejc86HJAH9sQzvTpRnJT6Y8wF2uxQgUZXz4fGaUPnaBKsSTl2u5GOZ3e0CJK9qa2vU4iNdvgegX8Kp0V0uCrGkUwU7ig82dWqUO8Xj0a2W2Bu6As93fxdbcB1K2e2SHXQ+Co6oT763InA5UnyYnXAKyNXZyIj8byucjxG3Pz/qMzOdD4qPOBQfauLrP+u33oMIBHF79/MAgP9O87XsdkkDnY+CQ3gV8eF21Cm1KuEUiOWcxY5rhfiIeOyXZ5AWJRMWyM75yCXh1Og5PhS03S7F9jsXfKxUY4D4UPfeMOE0S+h8FBzClxAfTupatCrhFEjO+zBTfLRDnu+p0189xt42IRvno7hYThT1+5OFSDbYwPkoiNEuBc3MmfK476Ym3b5SXQFkk/PBthZ0PgoQ4ZUr4ChcjjqlViWcqo/t8Zi3IKLfD/wAz+AlLMW+kn8356C5kk3Oh8sFvP02MDCQPBovG9Qn3SzxoV2mxIbJNxQfaioqgM8/1/VOHY/z4Xabkwhte+h8FB5+ZzofViWcAon2prTUvHrF5wOOox7HUY9/0c9ANpZsnA9g4g+lVjgfRUUYCE1CsD82ZbwNxQdrdi2hkK4N3ljiw+tNVEhOeiLMCJ2PgkPd7eKkU6q0O8rkmVZ0u5i5GKK6nc2HqZ0AZOd85IIV4gNAf5Wq64Xiw3lkM2+Z0tY6qVLOCJ2PgsOpOR/ayS0LXXyo67u8FB9GiAOLxEe4WhYfI3Dbcg4H1uwGM5bzASREiQ2vD2ug81FwSAG5VYrC5ajrXCs2rOh2MXM6czofabBIfESnynkfYcl+rgdA8WE4YyWcqreznY1B56Pw8Du720Wh0J0Pdbw2dPrTo4xkAQDVauy6YZH4qLhYdj6E154nwkHPINYwHufDSZVyRuh8FBy95zRgCD4cxkzMdFCtoxUfViWcmn1MII+cD0kCXntNXt/FaPFh1jwfAEJflcVH0SSKD0dC52MCUHwUHMPl52AG/okulOGfDjqlTnY+8kZ8AMBVVxn33cXFsoPr9RrTrTMa550nv5eXm3fMcUDxYTDZrFVH8aFBPY6e3S4FgTz5lPxU6aScD6eJD3V8eSU+jKS0FHjxRbmiN/MCaGwEnn4amDPHvGOOAwdVA9bAhNMJoP7RqMgKAnWd66RTamXCqXIbmSk+3G75FYlQfCRx663mH1OSgBUrzD9ulvCx0mDY7TIBXK6EIqPzURCoHQAniWwrnY//+i/gX/8VuO46844JJOo8ig+SCQdVA9bAhNMJEgrJUxnzRykInOp8WJlwetVVxqYyjIbPJ8/oSvFBMsHHSoOh8zFBlB+FzkdBoBYfdD4KGyVmig+SCdbsBjOehFMnVcpjQkVWUKgbYSedUieKD+WBK2/m+SCWQPFhMMoN6HKlVkQK7HZJA52PgkJpdF0uZy2eaGXCqVXQ+SDZwJrdYJQbMBQavdLlQ34a+KMUFOrl3Z2EE50Pig+SDRQfBqMWH6NB5yMNdD4KCqXRddo1TvFBSHpYsxuM0u2SSXww5yMNdD4KCjofMk6In0NtSTZQfBhMNs4H29k01NXJ7+ecY205iC7Q+ZBxgvOh1GfqiYoJ0eIAHW4tSts5efLo+yg3qRMqpqz5n/8BrrwSWLzY6pIQHXCq8+HEhNPVq+VlRayYY4TkDw64FazlssuA//1feabB0ViwAFi4EPjud00rlv2prARuuMHqUhCdUBphJzS+apzofFg1uRnJLxxWFZiPywUsW5Z5n8pKYNs2c8pDiBXU1cldLvX1VpfEXJwoPgjJBooPQojhTJkCHDjgvBQeJyacEpINvBUIIaYwa5bVJTAfOh+EpIejXQghxCCcmHBKSDZQfBBCiEHQ+SAkPRQfhBBiEBQfhKSH4oMQQgyCCaeEpIfigxBCDELrdND5IESG4oMQQgyCzgch6aH4IIQQg6DzQUh6KD4IIcQgJClZcND5IESG4oMQQgxE6Xpxu2UxQgih+CCEEENRnA92uRCSgOKDEEIMRHE+KD4ISUDxQQghBqKID+Z7EJKA4oMQQgyEzgchqVB8EEKIgdD5ICQVig9CCDEQJpwSkgrFByGEGAi7XQhJheKDEEIMhN0uhKRC8UEIIQZC54OQVCg+CCHEQOh8EJIKxQchhBgIE04JSYXigxBCDITdLoSkQvFBCCEGwm4XQlKh+CCEEAOh80FIKhQfhBBiIBQfhKRC8UEIIQaiiA52uxCSgOKDEEIMhM4HIalQfBBCiIEw4ZSQVCg+CCHEQOh8EJKKYeJj48aNmDFjBgKBAJqamrB3716jDkUIIbaF4oOQVAwRH6+++ipWrlyJRx55BG1tbZg9ezYWLlyIjo4OIw5HCCG2pbJSfq+osLYchNgJSQgh9P7SpqYmXHLJJXj22WcBANFoFNOmTcMPfvADPPjggxn/b3d3N8rKytDV1YXS0lK9i0YIIabS3Q383/8BN9wA1NRYXRpCjGM87bfuzkc4HEZrayuam5sTB3G50NzcjN27d6fsPzQ0hO7u7qQXIYQUCqWlwPLlFB6EqNFdfJw5cwaRSATV1dVJ26urq9He3p6y/9q1a1FWVhZ/TZs2Te8iEUIIIcRGWD7aZfXq1ejq6oq/jh8/bnWRCCGEEGIguo88r6qqgtvtxqlTp5K2nzp1CjVpfEe/3w+/3693MQghhBBiU3R3Pnw+H+bOnYsdO3bEt0WjUezYsQPz5s3T+3CEEEIIyTMMmXNv5cqVaGlpQWNjIy699FKsX78efX19WLZsmRGHI4QQQkgeYYj4uPnmm3H69Gk8/PDDaG9vx8UXX4xt27alJKESQgghxHkYMs9HLnCeD0IIIST/sHSeD0IIIYSQTFB8EEIIIcRUKD4IIYQQYioUH4QQQggxFYoPQgghhJgKxQchhBBCTMWQeT5yQRn5y9VtCSGEkPxBabezmcHDduKjp6cHALi6LSGEEJKH9PT0oKysLOM+tptkLBqN4sSJEygpKYEkSbp+d3d3N6ZNm4bjx487YgIzJ8XrpFgBxlvoOCleJ8UKFHa8Qgj09PSgtrYWLlfmrA7bOR8ulwt1dXWGHqO0tLTgTnomnBSvk2IFGG+h46R4nRQrULjxjuV4KDDhlBBCCCGmQvFBCCGEEFNxlPjw+/145JFH4Pf7rS6KKTgpXifFCjDeQsdJ8TopVsB58Y6G7RJOCSGEEFLYOMr5IIQQQoj1UHwQQgghxFQoPgghhBBiKhQfhBBCCDEVig9CCCGEmIpjxMfGjRsxY8YMBAIBNDU1Ye/evVYXSRfWrl2LSy65BCUlJZg8eTKuu+46HDp0KGmfwcFBLF++HJWVlSguLsYNN9yAU6dOWVRi/XjiiScgSRJWrFgR31ZosX7++ee49dZbUVlZiWAwiAsvvBAffvhh/HMhBB5++GFMmTIFwWAQzc3NOHz4sIUlnjiRSARr1qxBQ0MDgsEgzjvvPDz22GNJi1Tlc7zvv/8+Fi9ejNraWkiShC1btiR9nk1sX375JZYuXYrS0lKUl5fjjjvuQG9vr4lRZE+meIeHh7Fq1SpceOGFKCoqQm1tLb7zne/gxIkTSd+RL/GOdW7V3HXXXZAkCevXr0/ani+x6oUjxMerr76KlStX4pFHHkFbWxtmz56NhQsXoqOjw+qi5czOnTuxfPlyfPDBB9i+fTuGh4dx1VVXoa+vL77PfffdhzfffBOvv/46du7ciRMnTuD666+3sNS5s2/fPvzyl7/ERRddlLS9kGI9e/Ys5s+fD6/Xi7feegsHDx7Ez372M1RUVMT3efLJJ7FhwwY899xz2LNnD4qKirBw4UIMDg5aWPKJsW7dOmzatAnPPvssPvnkE6xbtw5PPvkknnnmmfg++RxvX18fZs+ejY0bN6b9PJvYli5dir/+9a/Yvn07tm7divfffx933nmnWSGMi0zx9vf3o62tDWvWrEFbWxveeOMNHDp0CNdcc03SfvkS71jnVmHz5s344IMPUFtbm/JZvsSqG8IBXHrppWL58uXxvyORiKitrRVr1661sFTG0NHRIQCInTt3CiGE6OzsFF6vV7z++uvxfT755BMBQOzevduqYuZET0+PmDlzpti+fbv45je/Ke69914hROHFumrVKnH55ZeP+nk0GhU1NTXiqaeeim/r7OwUfr9f/O53vzOjiLpy9dVXi9tvvz1p2/XXXy+WLl0qhCiseAGIzZs3x//OJraDBw8KAGLfvn3xfd566y0hSZL4/PPPTSv7RNDGm469e/cKAOLo0aNCiPyNd7RYP/vsMzF16lRx4MABMX36dPH000/HP8vXWHOh4J2PcDiM1tZWNDc3x7e5XC40Nzdj9+7dFpbMGLq6ugAAkyZNAgC0trZieHg4Kf5Zs2ahvr4+b+Nfvnw5rr766qSYgMKL9Q9/+AMaGxtx4403YvLkyZgzZw5+/etfxz8/cuQI2tvbk+ItKytDU1NTXsZ72WWXYceOHfj0008BAH/+85+xa9cuLFq0CEDhxasmm9h2796N8vJyNDY2xvdpbm6Gy+XCnj17TC+z3nR1dUGSJJSXlwMorHij0Shuu+023H///Tj//PNTPi+kWLPFdqva6s2ZM2cQiURQXV2dtL26uhp/+9vfLCqVMUSjUaxYsQLz58/HBRdcAABob2+Hz+eL39AK1dXVaG9vt6CUufHKK6+gra0N+/btS/ms0GL9xz/+gU2bNmHlypX40Y9+hH379uGee+6Bz+dDS0tLPKZ013Y+xvvggw+iu7sbs2bNgtvtRiQSweOPP46lS5cCQMHFqyab2Nrb2zF58uSkzz0eDyZNmpT38Q8ODmLVqlVYsmRJfKXXQop33bp18Hg8uOeee9J+XkixZkvBiw8nsXz5chw4cAC7du2yuiiGcPz4cdx7773Yvn07AoGA1cUxnGg0isbGRvz0pz8FAMyZMwcHDhzAc889h5aWFotLpz+vvfYaXnrpJbz88ss4//zzsX//fqxYsQK1tbUFGS+RGR4exk033QQhBDZt2mR1cXSntbUVv/jFL9DW1gZJkqwujm0o+G6XqqoquN3ulBEPp06dQk1NjUWl0p+7774bW7duxbvvvou6urr49pqaGoTDYXR2dibtn4/xt7a2oqOjA9/4xjfg8Xjg8Xiwc+dObNiwAR6PB9XV1QUTKwBMmTIFX//615O2fe1rX8OxY8cAIB5ToVzb999/Px588EHccsstuPDCC3Hbbbfhvvvuw9q1awEUXrxqsomtpqYmJUl+ZGQEX375Zd7GrwiPo0ePYvv27XHXAyiceP/0pz+ho6MD9fX18Xrr6NGj+OEPf4gZM2YAKJxYx0PBiw+fz4e5c+dix44d8W3RaBQ7duzAvHnzLCyZPgghcPfdd2Pz5s1455130NDQkPT53Llz4fV6k+I/dOgQjh07lnfxL1iwAH/5y1+wf//++KuxsRFLly6N/7tQYgWA+fPnpwyb/vTTTzF9+nQAQENDA2pqapLi7e7uxp49e/Iy3v7+frhcyVWS2+1GNBoFUHjxqskmtnnz5qGzsxOtra3xfd555x1Eo1E0NTWZXuZcUYTH4cOH8cc//hGVlZVJnxdKvLfddhs+/vjjpHqrtrYW999/P95++20AhRPruLA649UMXnnlFeH3+8ULL7wgDh48KO68805RXl4u2tvbrS5aznzve98TZWVl4r333hMnT56Mv/r7++P73HXXXaK+vl6888474sMPPxTz5s0T8+bNs7DU+qEe7SJEYcW6d+9e4fF4xOOPPy4OHz4sXnrpJREKhcRvf/vb+D5PPPGEKC8vF7///e/Fxx9/LK699lrR0NAgBgYGLCz5xGhpaRFTp04VW7duFUeOHBFvvPGGqKqqEg888EB8n3yOt6enR3z00Ufio48+EgDEz3/+c/HRRx/FR3dkE9u3vvUtMWfOHLFnzx6xa9cuMXPmTLFkyRKrQspIpnjD4bC45pprRF1dndi/f39S3TU0NBT/jnyJd6xzq0U72kWI/IlVLxwhPoQQ4plnnhH19fXC5/OJSy+9VHzwwQdWF0kXAKR9Pf/88/F9BgYGxPe//31RUVEhQqGQ+Pa3vy1OnjxpXaF1RCs+Ci3WN998U1xwwQXC7/eLWbNmiV/96ldJn0ejUbFmzRpRXV0t/H6/WLBggTh06JBFpc2N7u5uce+994r6+noRCATEueeeK3784x8nNUb5HO+7776b9l5taWkRQmQX2xdffCGWLFkiiouLRWlpqVi2bJno6emxIJqxyRTvkSNHRq273n333fh35Eu8Y51bLenER77EqheSEKrpAwkhhBBCDKbgcz4IIYQQYi8oPgghhBBiKhQfhBBCCDEVig9CCCGEmArFByGEEEJMheKDEEIIIaZC8UEIIYQQU6H4IIQQQoipUHwQQgghxFQoPgghhBBiKhQfhBBCCDGV/w+wuswxgSxpfgAAAABJRU5ErkJggg=="
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MSE: 27.195965766883273\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "data3 = pd.read_csv(\"数据/boston.csv\")\n",
+    "# 把target作为目标变量，即基于13个解释变量中的1个或多个来预测房价target\n",
+    "x = data3.iloc[:, :-1].values\n",
+    "y = data3['target'].values\n",
+    "\n",
+    "# 划分测试集与训练集\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=0)\n",
+    "\n",
+    "# 线性回归\n",
+    "from sklearn.linear_model import LinearRegression\n",
+    "\n",
+    "lr = LinearRegression()\n",
+    "lr.fit(x_train, y_train)\n",
+    "y_pred = lr.predict(x_test)\n",
+    "\n",
+    "# 可视化y_test和y_pred的差异\n",
+    "plt.plot(range(len(y_pred)), y_pred, 'b', label=\"predict\")\n",
+    "plt.plot(range(len(y_test)), y_test, 'r', label=\"test\")\n",
+    "plt.legend(loc=\"upper right\")\n",
+    "plt.title('预测结果和测试集差异')\n",
+    "plt.show()\n",
+    "\n",
+    "# 模型评估\n",
+    "from sklearn.metrics import mean_squared_error\n",
+    "\n",
+    "print(\"MSE:\", mean_squared_error(y_test, y_pred))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/共享单车数据分析/十三组平时作业（实战）/离职分析.ipynb b/共享单车数据分析/十三组平时作业（实战）/离职分析.ipynb
new file mode 100644
index 0000000..037605f
--- /dev/null
+++ b/共享单车数据分析/十三组平时作业（实战）/离职分析.ipynb
@@ -0,0 +1,510 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": true,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from sklearn.preprocessing import LabelEncoder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "   Age Attrition     BusinessTravel              Department  DistanceFromHome  \\\n0   51        No      Travel_Rarely                   Sales                 6   \n1   31       Yes  Travel_Frequently  Research & Development                10   \n2   32        No  Travel_Frequently  Research & Development                17   \n3   38        No         Non-Travel  Research & Development                 2   \n4   32        No      Travel_Rarely  Research & Development                10   \n\n   Education EducationField  EmployeeCount  EmployeeID  Gender  ...  \\\n0          2  Life Sciences              1           1  Female  ...   \n1          1  Life Sciences              1           2  Female  ...   \n2          4          Other              1           3    Male  ...   \n3          5  Life Sciences              1           4    Male  ...   \n4          1        Medical              1           5    Male  ...   \n\n   NumCompaniesWorked Over18 PercentSalaryHike  StandardHours  \\\n0                 1.0      Y                11              8   \n1                 0.0      Y                23              8   \n2                 1.0      Y                15              8   \n3                 3.0      Y                11              8   \n4                 4.0      Y                12              8   \n\n   StockOptionLevel TotalWorkingYears  TrainingTimesLastYear  YearsAtCompany  \\\n0                 0               1.0                      6               1   \n1                 1               6.0                      3               5   \n2                 3               5.0                      2               5   \n3                 3              13.0                      5               8   \n4                 2               9.0                      2               6   \n\n   YearsSinceLastPromotion  YearsWithCurrManager  \n0                        0                     0  \n1                        1                     4  \n2                        0                     3  \n3                        7                     5  \n4                        0                     4  \n\n[5 rows x 24 columns]",
+      "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>Age</th>\n      <th>Attrition</th>\n      <th>BusinessTravel</th>\n      <th>Department</th>\n      <th>DistanceFromHome</th>\n      <th>Education</th>\n      <th>EducationField</th>\n      <th>EmployeeCount</th>\n      <th>EmployeeID</th>\n      <th>Gender</th>\n      <th>...</th>\n      <th>NumCompaniesWorked</th>\n      <th>Over18</th>\n      <th>PercentSalaryHike</th>\n      <th>StandardHours</th>\n      <th>StockOptionLevel</th>\n      <th>TotalWorkingYears</th>\n      <th>TrainingTimesLastYear</th>\n      <th>YearsAtCompany</th>\n      <th>YearsSinceLastPromotion</th>\n      <th>YearsWithCurrManager</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>51</td>\n      <td>No</td>\n      <td>Travel_Rarely</td>\n      <td>Sales</td>\n      <td>6</td>\n      <td>2</td>\n      <td>Life Sciences</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Female</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>Y</td>\n      <td>11</td>\n      <td>8</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>6</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>31</td>\n      <td>Yes</td>\n      <td>Travel_Frequently</td>\n      <td>Research &amp; Development</td>\n      <td>10</td>\n      <td>1</td>\n      <td>Life Sciences</td>\n      <td>1</td>\n      <td>2</td>\n      <td>Female</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>Y</td>\n      <td>23</td>\n      <td>8</td>\n      <td>1</td>\n      <td>6.0</td>\n      <td>3</td>\n      <td>5</td>\n      <td>1</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>32</td>\n      <td>No</td>\n      <td>Travel_Frequently</td>\n      <td>Research &amp; Development</td>\n      <td>17</td>\n      <td>4</td>\n      <td>Other</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Male</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>Y</td>\n      <td>15</td>\n      <td>8</td>\n      <td>3</td>\n      <td>5.0</td>\n      <td>2</td>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>38</td>\n      <td>No</td>\n      <td>Non-Travel</td>\n      <td>Research &amp; Development</td>\n      <td>2</td>\n      <td>5</td>\n      <td>Life Sciences</td>\n      <td>1</td>\n      <td>4</td>\n      <td>Male</td>\n      <td>...</td>\n      <td>3.0</td>\n      <td>Y</td>\n      <td>11</td>\n      <td>8</td>\n      <td>3</td>\n      <td>13.0</td>\n      <td>5</td>\n      <td>8</td>\n      <td>7</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>32</td>\n      <td>No</td>\n      <td>Travel_Rarely</td>\n      <td>Research &amp; Development</td>\n      <td>10</td>\n      <td>1</td>\n      <td>Medical</td>\n      <td>1</td>\n      <td>5</td>\n      <td>Male</td>\n      <td>...</td>\n      <td>4.0</td>\n      <td>Y</td>\n      <td>12</td>\n      <td>8</td>\n      <td>2</td>\n      <td>9.0</td>\n      <td>2</td>\n      <td>6</td>\n      <td>0</td>\n      <td>4</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 24 columns</p>\n</div>"
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('quit_dataset.csv')\n",
+    "df.head()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "No     3699\nYes     711\nName: Attrition, dtype: int64"
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.Attrition.value_counts()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "   Age  Attrition  BusinessTravel  Department  DistanceFromHome  Education  \\\n0   51          0               2           2                 6          2   \n1   31          1               1           1                10          1   \n2   32          0               1           1                17          4   \n3   38          0               0           1                 2          5   \n4   32          0               2           1                10          1   \n\n   EducationField  EmployeeCount  EmployeeID  Gender  ...  NumCompaniesWorked  \\\n0               1              1           1       0  ...                 1.0   \n1               1              1           2       0  ...                 0.0   \n2               4              1           3       1  ...                 1.0   \n3               1              1           4       1  ...                 3.0   \n4               3              1           5       1  ...                 4.0   \n\n   Over18  PercentSalaryHike  StandardHours  StockOptionLevel  \\\n0       0                 11              8                 0   \n1       0                 23              8                 1   \n2       0                 15              8                 3   \n3       0                 11              8                 3   \n4       0                 12              8                 2   \n\n   TotalWorkingYears  TrainingTimesLastYear  YearsAtCompany  \\\n0                1.0                      6               1   \n1                6.0                      3               5   \n2                5.0                      2               5   \n3               13.0                      5               8   \n4                9.0                      2               6   \n\n   YearsSinceLastPromotion  YearsWithCurrManager  \n0                        0                     0  \n1                        1                     4  \n2                        0                     3  \n3                        7                     5  \n4                        0                     4  \n\n[5 rows x 24 columns]",
+      "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>Age</th>\n      <th>Attrition</th>\n      <th>BusinessTravel</th>\n      <th>Department</th>\n      <th>DistanceFromHome</th>\n      <th>Education</th>\n      <th>EducationField</th>\n      <th>EmployeeCount</th>\n      <th>EmployeeID</th>\n      <th>Gender</th>\n      <th>...</th>\n      <th>NumCompaniesWorked</th>\n      <th>Over18</th>\n      <th>PercentSalaryHike</th>\n      <th>StandardHours</th>\n      <th>StockOptionLevel</th>\n      <th>TotalWorkingYears</th>\n      <th>TrainingTimesLastYear</th>\n      <th>YearsAtCompany</th>\n      <th>YearsSinceLastPromotion</th>\n      <th>YearsWithCurrManager</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>51</td>\n      <td>0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>6</td>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>11</td>\n      <td>8</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>6</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>31</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>10</td>\n      <td>1</td>\n      <td>1</td>\n      <td>1</td>\n      <td>2</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>23</td>\n      <td>8</td>\n      <td>1</td>\n      <td>6.0</td>\n      <td>3</td>\n      <td>5</td>\n      <td>1</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>32</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>17</td>\n      <td>4</td>\n      <td>4</td>\n      <td>1</td>\n      <td>3</td>\n      <td>1</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>15</td>\n      <td>8</td>\n      <td>3</td>\n      <td>5.0</td>\n      <td>2</td>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>38</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>2</td>\n      <td>5</td>\n      <td>1</td>\n      <td>1</td>\n      <td>4</td>\n      <td>1</td>\n      <td>...</td>\n      <td>3.0</td>\n      <td>0</td>\n      <td>11</td>\n      <td>8</td>\n      <td>3</td>\n      <td>13.0</td>\n      <td>5</td>\n      <td>8</td>\n      <td>7</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>32</td>\n      <td>0</td>\n      <td>2</td>\n      <td>1</td>\n      <td>10</td>\n      <td>1</td>\n      <td>3</td>\n      <td>1</td>\n      <td>5</td>\n      <td>1</td>\n      <td>...</td>\n      <td>4.0</td>\n      <td>0</td>\n      <td>12</td>\n      <td>8</td>\n      <td>2</td>\n      <td>9.0</td>\n      <td>2</td>\n      <td>6</td>\n      <td>0</td>\n      <td>4</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 24 columns</p>\n</div>"
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#将所有字符串列映射成数字\n",
+    "maps={}\n",
+    "for col in df:\n",
+    "    dtype=df[col].dtype\n",
+    "    if dtype==\"object\":\n",
+    "        unique=df[col].unique()\n",
+    "        #训练标签\n",
+    "        le = LabelEncoder()\n",
+    "        le = le.fit(unique)\n",
+    "        #将每列的标签保存进字典\n",
+    "        maps[col]=le\n",
+    "        df[col]=le.transform(df[col])\n",
+    "df.head()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "0    3699\n1     711\nName: Attrition, dtype: int64"
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.Attrition.value_counts()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<AxesSubplot:>"
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 1440x720 with 2 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "## 使用热力图来绘制和离职变量之间的相关性\n",
+    "plt.figure(figsize=(20,10))\n",
+    "sns.heatmap(df.corr(),annot=True)"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1440x576 with 2 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 1440x576 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "corr = df.corr()\n",
+    "corr.head()\n",
+    "corr = corr.fillna(0)\n",
+    "show=corr[[\"Attrition\"]].sort_values(by=\"Attrition\",ascending=False)\n",
+    "# 根据热力图，绘制与Attrition相关性最高的前10个特征\n",
+    "#使用sort_values去求前5和后5的柱状图\n",
+    "# 绘制值最高的前5个\n",
+    "plt.figure(figsize=(20,8))\n",
+    "plt.subplot(1,2,1)\n",
+    "plt.bar(show.index[:5],show.Attrition[:5])\n",
+    "# 绘制值最低的前5个\n",
+    "plt.subplot(1,2,2)\n",
+    "plt.bar(show.index[-5:],show.Attrition[-5:])\n",
+    "plt.title(\"The correlation of attrition with other variables\")\n",
+    "plt.show()\n",
+    "#\n",
+    "last_index=len(show[show.Attrition<0])\n",
+    "show=show.iloc[1:11].append(show.iloc[-last_index:])\n",
+    "show=show.iloc[0:5].append(show.iloc[-5:])\n",
+    "index_name=[\"Over Time\",\"Marita Status\",\"Distance From Home\",\"Job Role\",\"Department\",\"Age\",\"Monthly Income\",\"Years In Current Role\",\"Job Level\",\"Total Working Years\"]\n",
+    "show.index=index_name\n",
+    "plt.figure(figsize=(20,8))\n",
+    "plt.bar(show.iloc[0:6].index,show.iloc[0:6].Attrition)\n",
+    "plt.bar(show.iloc[5:].index,show.iloc[5:].Attrition)\n",
+    "plt.title(\"The correlation of attrition with other variables\")\n",
+    "plt.show()"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Top Five Reason of Attrition：\n",
+      "MaritalStatus\n",
+      "NumCompaniesWorked\n",
+      "PercentSalaryHike\n",
+      "JobRole\n",
+      "Gender\n"
+     ]
+    }
+   ],
+   "source": [
+    "top5=corr[\"Attrition\"].sort_values(ascending=False)[1:6]\n",
+    "print(\"Top Five Reason of Attrition：\\n%s\"%\"\\n\".join(list(top5.index)))\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 720x576 with 1 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "## 离职与未离职的人Totalworkingyears的占比对比\n",
+    "\n",
+    "quit_df=df[df[\"Attrition\"]==1]#离职\n",
+    "not_quit_df=df[df[\"Attrition\"]==0]#不离职\n",
+    "quit_level=quit_df.TotalWorkingYears.value_counts().sort_index()\n",
+    "not_quit_level=not_quit_df.TotalWorkingYears.value_counts().sort_index()\n",
+    "newdf=pd.DataFrame({\n",
+    "    \"quit\":quit_level,\n",
+    "    \"not_quit\":not_quit_level})\n",
+    "newdf[\"quit\"]/=newdf.quit.sum()\n",
+    "newdf[\"not_quit\"]/=newdf.not_quit.sum()\n",
+    "newdf=newdf.fillna(0)\n",
+    "index=newdf.index\n",
+    "plt.figure(figsize=(10,8))\n",
+    "# 设置柱形图宽度\n",
+    "bar_width = 0.35\n",
+    "# 绘制离职原因柱状图\n",
+    "rects1 = plt.bar(index, newdf.quit.values, bar_width, color='#0072BC', label=\"Attrition\")\n",
+    "# 绘制未离职的柱状图\n",
+    "rects2 = plt.bar(index + bar_width, newdf.not_quit,bar_width, color='#ED1C24', label=\"Non-Attrition\")\n",
+    "# X轴标题\n",
+    "plt.xlabel('years')\n",
+    "plt.ylabel(\"People percentage\")\n",
+    "plt.xticks(index + bar_width, index,rotation=60)\n",
+    "plt.title(\"Attrition and Non-Attrition in TotalWorkingYears\")\n",
+    "plt.legend()\n",
+    "plt.show()\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 720x576 with 1 Axes>",
+      "image/png": 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/Jbvu+jY++MF9h6WuNVFLGMvMFcCBq0y+dYB2n296vQx4Tx31SJKk8rbddiYrVvRz9tln8a53ve+p6T/84RlcdtkldHV1MWPG33HwwYfy3e9+m/vuu5dHHnmEBx64j4997HC2226HZ6zz8ssvZdttX8v22+/I2WefxTbbzOTWW//Iddddw2233cojjyxkwYLbOProf+Ozn/0SRx31L0yZsi477LAj11wzn0996jOcfvopLFhwO+eeeza33HITs2fvysyZr+OYY77Avff+hb6+Pt7//n2YPXtXDjnkn9lyy+DOO+9g2bK/8aUv/TvTpm30nPbLyB35JkmSRp1PfvJIfvSjM7nnnrsBWLZsKZdffinz5p3CvHmncM89dzN/fmOk0rhxazF37jc57LAj+NGPzhxwfeef/zPe/va9mDnzddx2W/Lgg3/l5S9/BdtttwMHHXQou+32drbY4mUcddQXGTduHAsXPsw3vvEt9tnnw0+t40Mf+gjbbjuTd77zH56adu65P6Wnp4d5807huONO5OSTT2LRokUAvOIVW3HccScyc+Z2XHrpL57zPhl59wCQJEmj1rrr9nDooUfw5S9/jle/egZPPvkkW231arq7G5Fkxoyt+dOf7gDgZS8LADbccBpPPvkE99xzN1/96pcA2G23t7PVVq/mT3+6gxNO+E+gcQXjz372U/bf/6BBt7/RRhszbty4Ieu86667mDnzdQBMnDiJ6dNfwl/+cs/T6nrhC1/Iww8//Cz2wtN5ZEySJD2vZs16A5tuuhkXXvhz1lprLf7wh1vo7e2lv7+fG2+8gU03bTzTcdVhZZtssiknnPAdTjjhO7zjHXtx/vk/Y//9D+bYY4/n2GOP57jj5nHBBeexfPlyOjo66O9vXG3Z2dnJihUrqnU+M/o05j/9Wd3Tp0/npptuABpH7+644w423njjah3DM97tqe0P69okSZJacNhhRzB+/HgmTpzEm9/8Fg466J/Yf/8Ps9FGG/GGN7xxyOWXL1/OL3/5C2bP3vWpadOmTWOLLbbkiisu45WvfBXz5p3AXXf9iVe96jUcffTnWLx48YDretGLNuHOOxdw1ln/dyr0He/4Bx599FEOOuifOOSQA/jIR/ZnvfXWf86feyAd/f39Q7caoZYv7+sfrfeEeT6NpnvrTJ06ecTe9PXBB4e+0qgVo6m/Rjv7qr2M5v66//4/M23aZk+9X39SN10T1x629fcte4yFS3uHbjiMRvp9xlbd5wBTp07+PTBz1baOGZMkaYxZuLS3pVtR6PnhaUpJkqSCDGOSJEkFGcYkSRoD2nmMeLtZ031tGJMkaZTr7l6LpUsXG8ieB/39/Sxdupju7rVaXsYB/JIkjXLrrTeVRx55kL/9bVHpUoZN4z5iIzNcdnevxXrrTR264cr2NdYiSZJGgK6ubjbY4Lk9P3GkGU23IvE0pSRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIK8kHhbWr9Sd10TVx72NY3derk57yOvmWPsXBp7zBUI0nS2GEYa1NdE9dm4aZbli7jada/+3ZYuqR0GZIktRVPU0qSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBXWXLkAaC/off4KpUycP2/qGY119yx5j4dLeYahGkvRcGMaGMGnK2kwc727Sc9MxYTwLN92ydBlPs/7dt8PSJaXLkKQxz5QxhInju+k44rLSZTxD/9zZpUuQJEnDoJYwFhGdwInADOAJYL/MXNA0/6PAvkA/8B+ZeVZEdAD3ALdXza7JzE/XUZ8kSdJIUdeRsb2ACZm5Q0RsD8wF3gkQERsABwF/B0wA/hARPwY2B67PzD1rqkmSJGnEqetqylnAxQCZeS0wc+WMzHwI2DozlwPTgMczsx/YFnhRRFwRERdGRNRUmyRJ0ohR15GxKcCjTe/7IqI7M3sBMrM3Ig4BvgB8s2pzH/CVzPxxRMwCzgBeu7qNdHV10NMzcfir17Nmf7QX+6teXV2d7uM2Yn+1l9HUX3WFscVA87X3nSuD2EqZeUJEfAe4KCLeBFwHrAxrV0XExhHRUR01G1BfXz+LFi2rofz/M5y3IxgL6u6Podhfa6Z0f412PT0T3cdtxP5qL+3YX4N9R9V1mnI+sDtANWbs5pUzouHsasD+choD/FcAnwM+XrWZAdy9uiAmSZI0GtR1ZOwcYJeIuBroAOZExOHAgsw8LyL+F7iGxtWUF2XmlRFxE3BGROxB4wjZvjXVJkmSNGLUEsYycwVw4CqTb22a/wUa48Wal3kE2KOOeiRJkkYqn00pSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCuutYaUR0AicCM4AngP0yc0HT/I8C+wL9wH9k5lkRsTZwBrAhsAT4cGY+WEd9kiRJI0VdR8b2AiZk5g7AkcDclTMiYgPgIOD1wGxgbkR0VNNuzsydgNOBo2qqTZIkacSo5cgYMAu4GCAzr42ImStnZOZDEbF1ZvZGxHTg8czsj4hZwNeqZhcBnx1qI11dHfT0TBz+6vWs2R/txf6qV1dXp/u4jdhf7WU09VddYWwK8GjT+76I6M7MXoAqiB0CfAH45gDLLAHWHWojfX39LFq0bPiqHsDUqZNrXf9oU3d/DMX+WjOl+2u06+mZ6D5uI/ZXe2nH/hrsO6qu05SLgeYtdq4MYitl5gnARsAbIuJNqywzGVhUU22SJEkjRl1hbD6wO0BEbA/cvHJGNJxdjRNbTmOA/4rmZYDdgF/XVJskSdKIUddpynOAXSLiaqADmBMRhwMLMvO8iPhf4BoaV1NelJlXRsRvgdMi4irgSWDvmmqTJEkaMWoJY5m5Ajhwlcm3Ns3/Ao3xYs3LLAPeU0c9kiRJI5U3fZUkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqaDuOlYaEZ3AicAM4Algv8xc0DT/E8D7q7cXZuYXIqIDuAe4vZp+TWZ+uo76JEmSRopawhiwFzAhM3eIiO2BucA7ASLipcA+wHbACuCqiDgHWAZcn5l71lSTJEnSiFPXacpZwMUAmXktMLNp3t3A2zKzLzP7gXHA48C2wIsi4oqIuDAioqbaJEmSRoy6joxNAR5tet8XEd2Z2ZuZy4GHqtOSXwduyMzbImIa8JXM/HFEzALOAF67uo10dXXQ0zOxpo+gZ8P+aC/2V726ujrdx23E/movo6m/WgpjETEb2By4FrgtMx8fYpHFwOSm952Z2du0vgnAKcAS4OBq8u+AXoDMvCoiNo6Ijuro2YD6+vpZtGhZKx/hWZs6dfLQjfSUuvtjKPbXmindX6NdT89E93Ebsb/aSzv212DfUUOGsYg4BtgEeAWNwfifBj4wxGLzgT2Bs6oxYzc3ra8DOBe4PDP/vWmZzwEPA1+LiBnA3asLYpIkSaNBK0fGZmXmGyLiisw8LSIOamGZc4BdIuJqoAOYExGHAwuALmBnYHxE7Fa1/zTwVeCMiNiDxhGyfdfws0iSJLWdVsJYd3VasT8iuoC+oRbIzBXAgatMvrXp9YRBFt2jhXokSZJGjVbC2DeA3wNTgeuq95IkSRoGQ4ax6urGXwJbAHdm5sP1lyVJkjQ2tDKA/wqgv+n9chr3Cjs6M++qrzRJkqTRr5Wbvt4FnAkcBJwO/A24BvhufWVJkiSNDa2EsRdn5n9lw6nAlMz8LvXdMFaSJGnMaCVQrRURb6VxNOz1wLjq+ZKj47a3kiRJBbVyZGxf4AAaV1J+pPrZHji8vrIkSZLGhlauprwD+IeV7yNio8w8s9aqJEmSxohWrqb8Eo0buK5F49TkbcBWNdclSZI0JrRymnJPGs+m/AGN51P+pdaKJEmSxpBWwth9mfkEMDkzF9A4QiZJkqRh0EoYuyciPgIsjYivAD31liRJkjR2tBLGDgAuAz4F3At8oNaKJEmSxpBBB/BHRBfQBfw38D6gA/gv4ALgzc9LdZIkSaPc6q6m/AjwGWAakDTCWB9w1fNQlyRJ0pgwaBjLzJOBkyPiI5l5yvNYkyRJ0pjRyuOQLo2IfwEmrJyQmV+sryRJkqSxo5UB/D8GpgAPNP1IkiRpGLRyZGxJZh5VeyWSJEljUCth7JaIeD9wA9APkJm31VqVJEnSGNFKGNu6+lmpH29tIUmSNCyGDGOZ+aaIWBeYDtyRmX+rvSpJkqQxYsgB/BHxLuBXwBnAJyLC8WOSJEnDpJWrKQ8HtgceAo4G/r7WiiRJksaQVsJYX2Y+AfRnZj+wtOaaJEmSxoxWwthVEfFDYJOImAf8tuaaJEmSxoxWBvB/JiLeBlwP/DEzf15/WZIkSWNDKwP49wR2yMyvA4dExK71lyVJkjQ2tHKfsS8Ab6pevw+4CLiktookSZLGkFbGjC3PzEcBqv/21VuSJEnS2NHKkbHfRMSZwDXAa2k8FkmSJEnDoJUw9lngjUAAP8nM82qtSJIkaQxpJYz9PDNn1V6JJEnSGNRKGFsYEYcBCawAyEwH8EuSJA2DVsLYw8DW1Q9AP15NKUmSNCxauenrnIh4GbAFcBNwb+1VSZIkjRFDhrGIOITGw8HXB04FtgQOqbcsSZKksaGV+4y9H9gFWJSZxwHb1VuSJEnS2NFKGOukMU6sv3r/RH3lSJIkjS2tDOA/E/gfYLOIuBD4Wa0VSZIkjSGtDOA/ISIuA7ZqvM2b6y9LkiRpbBjyNGV1JeVXgaOBz0XEZrVXJUmSNEa0MmbsdGAejYH736NxRaUkSZKGQStjxpZm5kXV6wsi4vA6C5IkSRpLWgljd0fEUcDlwLbAExGxKwz+WKSI6AROBGbQuPpyv8xc0DT/EzRumQFwYWZ+ISLWBs4ANgSWAB/OzAef3ceSJElqD62cpuwHNgf2B7YBHgA+wP+FqYHsBUzIzB2AI4G5K2dExEuBfYDXA9sDu0bEa4CDgJszcycap0aPWtMPI0mS1G5aehzSs1jvLODiavlrI2Jm07y7gbdlZh9ARIwDHq+W+VrV5iLgs89iu5IkSW2lldOUz8YU4NGm930R0Z2ZvZm5HHgoIjqArwM3ZOZtEdG8zBJg3aE20tXVQU/PxOGuXc+B/dFe7K96dXV1uo/biP3VXkZTf9UVxhYDk5ved2Zm78o3ETEBOIVG6Dp4gGUmA4uG2khfXz+LFi0bjnoHNXXq5KEb6Sl198dQ7K81U7q/Rruenonu4zZif7WXduyvwb6jWnlQeBewL7AZjUH8t2TmQ0MsNh/YEzgrIrYHnrpRbHVE7Fzg8sz891WW2R34DbAb8OuhapMkSWp3rRwZ+zZwL42Hhf+WxuD63YdY5hxgl4i4GugA5lS3xFgAdAE7A+MjYreq/aeBk4DTIuIq4Elg7zX8LJIkSW2nlTC2eWbuFxGzMvP8iDhyqAUycwVw4CqTb216PWGQRd/TQj2SJEmjRiu3tuiOiA0AImIysKLekiRJksaOVo6MHUVjPNdGwLXAx+ssSJIkaSxp5T5jVwIREVOBhzKzv/6yJEmSxoZBw1hEXEPj7vurTiczX19rVZIkSWPE6o6Mre5xR5IkSRoGgw7gz8w/Z+afgfHAN2k83mjuYO0lSZK05lq5mvJ0YB6Nh3p/Dzi1zoIkSZLGklauplyamRdVry+obt4qSZKkYdBKGLs7Io6i8SikbYEnImJXgMy8pM7iJEmSRrtWwlg/sDnwUhqPNnoA+EA13TAmSZL0HLRyn7E5EfEq4JXAbZl5Y+1VSZIkjRFDDuCPiI8BJwOvB74TEZ+svSpJkqQxopWrKfcGdsrMjwM7Au+rtSJJkqQxpJUw1pGZvQCZuRxYXm9JkiRJY0crA/ivioifAL8GdqLx0HBJkiQNgyGPjGXmJ2nc7LUb+F5mfqr2qiRJksaIVgbwTwZ2ALYCxkfEFrVXJUmSNEa0MmbsFOBOYEvgfuC7tVYkSZI0hrQSxl6QmacAyzPz6haXkSRJUgtaClYR8fLqv5sAvbVWJEmSNIa0cjXlYTQG8L8C+AlwcK0VSZIkjSGrDWMRMQW4IzN3eJ7qkSRJGlMGPU0ZEYcA/wv8b0S89fkrSZIkaexY3ZixvYGgcVuLjz8v1UiSJI0xqwtjj2fmk5n5ELDW81WQJEnSWNLqbSo6aq1CkiRpjFrdAP6tIuJMGkFs5WsAMnPv2iuTJEkaA1YXxt7b9Hpe3YVIkiSNRYOGscy88vksRJIkaSzy0UaSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkHddaw0IjqBE4EZwBPAfpm5YJU2U4H5wGsy8/GI6ADuAW6vmlyTmZ+uoz5JkqSRopYwBuwFTMjMHSJie2Au8M6VMyPircBXgWlNy2wOXJ+Ze9ZUkyRJ0ohTVxibBVwMkJnXRsTMVeavAN4C/L5p2rbAiyLiCuAx4BOZmavbSFdXBz09E4evaj1n9kd7sb8G1tW3nM4JE4ZlXVOnTh6W9ax4/HH6usYNy7o0sK6uTn8n2sho6q+6wtgU4NGm930R0Z2ZvQCZeSlARDQvcx/wlcz8cUTMAs4AXru6jfT19bNo0bJhLXxVw/WHdKyouz+GYn+tmdL9NVJNnTqZhZtuWbqMp1n/7tt5+MElpcsY1Xp6Jvo70Ubasb8G+46qawD/YqB5i50rg9hq/A44FyAzrwI2rsaRSZIkjVp1hbH5wO4A1Zixm1tY5nPAx6tlZgB3Z2Z/TfVJkiSNCHWdpjwH2CUirgY6gDkRcTiwIDPPG2SZrwJnRMQeQC+wb021SZIkjRi1hLHMXAEcuMrkWwdoN73p9SPAHnXUI0mSNFJ501dJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBdX1bEpJGtKkKWszcbx/hiSNbf4VlFTMxPHddBxxWekynqF/7uzSJUgaQzxNKUmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBXUXcdKI6ITOBGYATwB7JeZC1ZpMxWYD7wmMx+PiLWBM4ANgSXAhzPzwTrqkyRJGinqOjK2FzAhM3cAjgTmNs+MiLcClwDTmiYfBNycmTsBpwNH1VSbJEnSiFFXGJsFXAyQmdcCM1eZvwJ4C7BwoGWAi6r5kiRJo1otpymBKcCjTe/7IqI7M3sBMvNSgIgYbJklwLpDbaSrq4OenonDUrCGh/3RXuyv9mJ/1aurq9N93EZGU3/VFcYWA5Ob3neuDGItLjMZWDTURvr6+lm0aNmzKrBVU6dOHrqRnlJ3fwzF/loz9ld7Kd1fo11Pz0T3cRtpx/4a7G9eXacp5wO7A0TE9sDNa7IMsBvw63pKkyRJGjnqOjJ2DrBLRFwNdABzIuJwYEFmnjfIMicBp0XEVcCTwN411SZJkjRi1BLGMnMFcOAqk28doN30ptfLgPfUUY8kSdJI5U1fJUmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBXWXLkCS1B4mTVmbieNH3tfGiscfp3PChGFZ19Spk4dlPX3LHmPh0t5hWZdGv5H3WyVJGpEmju+m44jLSpfxDP1zZ7Nw0y1Ll/E06999OyxdUroMtQlPU0qSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKqi7jpVGRCdwIjADeALYLzMXNM3fHzgA6AWOzsyfR8T6wG3ALVWzczLzuDrqkyRJGilqCWPAXsCEzNwhIrYH5gLvBIiIacChwExgAnBVRFwKbAP8MDM/VlNNkiRJI05dpylnARcDZOa1NILXSq8D5mfmE5n5KLAAeA2wLbBtRFwZET+OiI1qqk2SJGnEqOvI2BTg0ab3fRHRnZm9A8xbAqwL3Ar8PjN/GRH7AMcD717dRrq6OujpmTi8les5sT/ai/3VXuyv9mJ/1aurq3PU7OO6wthiYHLT+84qiA00bzKwCLgOWFZNOwf44lAb6evrZ9GiZUM1e06mTp08dCM9pe7+GIr9tWbsr/Zif7WX0v01Eq0/qZuuiWsP2/o6O7uGZT19yx5j4dLeoRs+R4P9DtUVxuYDewJnVWPGbm6a9xvgyxExARgPvILGoP3TgJ8CZwGzgd/XVJskSSqga+LaLNx0y9JlPMP6d98OS5cU235dYewcYJeIuBroAOZExOHAgsw8LyK+Cfyaxpi1f83MxyPiSOCUiDgYWArsV1NtkiRJI0YtYSwzVwAHrjL51qb5JwMnr7LMn4A31VGPJEnSSOVNXyVJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSC6rrpqyRJKmjSlLWZON6v+XZgL0mSNApNHN9NxxGXlS7jafrnzi5dwojkaUpJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCjKMSZIkFWQYkyRJKsgwJkmSVJBhTJIkqSDDmCRJUkGGMUmSpIIMY5IkSQUZxiRJkgoyjEmSJBVkGJMkSSrIMCZJklSQYUySJKkgw5gkSVJBhjFJkqSCDGOSJEkFGcYkSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBRnGJEmSCuquY6UR0QmcCMwAngD2y8wFTfP3Bw4AeoGjM/PnEbEBcCawNnAvMCczl9VRnyRJ0khR15GxvYAJmbkDcCQwd+WMiJgGHArsCLwV+EpEjAf+DTgzM3cCbqAR1iRJkka1jv7+/mFfaUQcC/wmM/+7ev+XzHxR9fodwO6ZeWD1/hzgGODb1fT7I2IGcExm7jHEph4E/jzsH0CSJGn4bQZMXXViLacpgSnAo03v+yKiOzN7B5i3BFh3lekrpw3lGR9IkiSpndR1mnIxMLl5O1UQG2jeZGDRKtNXTpMkSRrV6gpj84HdASJie+Dmpnm/AXaKiAkRsS7wCuCW5mWA3YBf11SbJEnSiFHXmLGVV1O+BugA5tAIWgsy87zqasp/phEGj8nMn0bEC4HTaBwVewjYOzOXDntxkiRJI0gtYUySJEmt8aavkiRJBRnGJEmSCjKMSZKkthARo/KWVoYxaYSLiH+MiFMj4s2la9HQImLniPhkdfNqjWAR8a6IWKd0HVoj8yJii9JFDDfD2BgTEbMj4gWl61BrIuJfgbcA1wDfiIjXVNM7ihamAVX9dQgwHvhYRGwYEZsULkuriIiOiHgFcAbwtYh4XTV91H3JjyYRcQRwI3BvRLwnIk6OiK3LVjU8DGNjz98DF0bEQaUL0epFxBRgNnBkZn4buLB6D/CCiFirWHF6hoiYDLwJOCwzvwy8Dvh34M6IOLxocXqazOzPzD8C5wDrA1+IiP8BvlS2Mg0mItYH9ge+BnwV2JLGzeFPj4iDC5Y2LAxjY89dwP3AthFxSUQM9fxPFVAd+fobcBvw+mry2TTu3QdwEvCuAqVpAE39dQewYxXM7snMOcBLgJdFxKSSNWpA3wO+ReO+l5sAL4qIj9pXI0v1+9UL/Ba4Gnh5Zh6TmZ8C3gu8tLq/adtq6+L1rNwEnJGZ+9G4ye7HIuKciNi8cF1qUv2f+wrgdBp/gAAeBJZHxGwajxj7YbEC9TRVf/UDxwO/zMwlwLur2ZvR+PLwJtYjSPUFfxuwK/B54JvAAcCW9tXIUv1+Lc7MD9L4H9HfV//DA43nWG9T/b1sW970dQyKiImZuax6/QLgUODCzLyubGUaSkRcR+NIy3sy88rS9WhwETEBOAzYA/h8Zl5euCQNICI+DuwD7JiZTxYuR0OIiG7gBcDjwDE0zhZ8rt1/vwxjUhuJiP2AmZl5YOlatHrVGJfXAo8bnEe2iNg4M++NiLUMZO2husXF9sBfR8OBBMOY1EYioguY4GkUSRo9DGOSJEkFOYBfkiSpIMOYJElSQYYxSZKkggxjkkaViPhVRLx8kHl3VbecaJ72xoj47xrqeMa2JGkghjFJkqSCuksXIEk16ImInwNTaPydO6rpppDfjojpwAPAhwdbQUTsDHwZ6KPxmKMDgB8Bx2XmlRExE/gsjTvtz6PxrLzOalu/quNDSRqdPDImaTT6JHBpZr4BeA/w3erxNwAnZebONJ7Tuv9AC1dtTwb+oWr7F2DfatrKADener8f8FC1rXfSeNahJLXMMCap7UXEOhExrmnSJOB/ADLzL8BiYEPgycy8tmpzNRCDrHIqsBFwVkT8isbzCzcDfgG8rrq7/k7ARcCrgd2rdj8FuiNig+H7dJJGO8OYpNHgNGBWRHTSCF330QhLRMSLgPWAh4G1ImLrapmdgFsGWd9DwD3AOzPzjTROV15ePYz4xzQeVvyzzOwDbgV+WLXbrZq/cJg/n6RRzDFjkkaDucA3q9c/Af4TOCUi3g2sDfxzZvZGxBPAxyJiS+DPwJHAjsCuEfG7pvXtTeMh3xdUAW8x8KFq3inAnTTGiAF8Gzg5Iq6kMUbtxMxcETHYQTdJejofhyRJklSQpyklSZIKMoxJkiQVZBiTJEkqyDAmSZJUkGFMkiSpIMOYJElSQYYxSZKkggxjkiRJBf1/WTE8w+z6XmoAAAAASUVORK5CYII=\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "quit_level=quit_df.JobLevel.value_counts().sort_index()\n",
+    "not_quit_level=not_quit_df.JobLevel.value_counts().sort_index()\n",
+    "quit_level/=sum(quit_level)\n",
+    "not_quit_level/=sum(not_quit_level)\n",
+    "index=quit_level.index\n",
+    "plt.figure(figsize=(10,8))\n",
+    "# 设置柱形图宽度\n",
+    "bar_width = 0.35\n",
+    "# 绘制离职原因柱状图\n",
+    "rects1 = plt.bar(index, quit_level.values, bar_width, color='#0072BC', label=\"Attrition\")\n",
+    "# 绘制未离职的柱状图\n",
+    "rects2 = plt.bar(index + bar_width, not_quit_level.values, bar_width, color='#ED1C24', label=\"Non-Attrition\")\n",
+    "# X轴标题\n",
+    "plt.xlabel('JobLevel')\n",
+    "plt.ylabel(\"People percentage\")\n",
+    "plt.xticks(index + bar_width, index,rotation=60)\n",
+    "plt.title(\"Attrition and Non-Attrition in JobLevel\")\n",
+    "plt.legend()\n",
+    "plt.show()\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "## 绘制一个包含两个子图的图表，分别表示离职员工和未离职员工的婚姻状况\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1152x432 with 2 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#离职婚姻\n",
+    "unique=df['MaritalStatus'].unique()\n",
+    "# 根据'MaritalStatus'列还原成字符串\n",
+    "unique = maps['MaritalStatus'].inverse_transform(unique)\n",
+    "marital_dict=dict(zip(unique,[i for i in range(len(unique))]))\n",
+    "plt.figure(figsize=(16,6))\n",
+    "plt.subplot(121)\n",
+    "quit_pie=pd.DataFrame(quit_df[\"MaritalStatus\"].value_counts())\n",
+    "quit_pie.index=quit_pie.index.map(dict(zip(marital_dict.values(),marital_dict.keys())))\n",
+    "quit_pie[\"MaritalStatus\"].plot(kind=\"pie\",\n",
+    "                        autopct='%.1f%%',\n",
+    "                        title=\"Attrition in different Marital Status\"\n",
+    "                        )\n",
+    "plt.subplot(122)\n",
+    "not_quit_pie=pd.DataFrame(not_quit_df[\"MaritalStatus\"].value_counts())\n",
+    "not_quit_pie.index=not_quit_pie.index.map(dict(zip(marital_dict.values(),marital_dict.keys())))\n",
+    "not_quit_pie[\"MaritalStatus\"].plot(kind=\"pie\",\n",
+    "                        autopct='%.1f%%',\n",
+    "                        title=\"Non-attrition in different Marital Status\"\n",
+    "                        )\n",
+    "plt.show()\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 1152x432 with 2 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#离职主要部门\n",
+    "unique=df['Department'].unique()\n",
+    "unique = maps['Department'].inverse_transform(unique)\n",
+    "department_dict=dict(zip(unique,[i for i in range(len(unique))]))\n",
+    "plt.figure(figsize=(16,6))\n",
+    "plt.subplot(121)\n",
+    "quit_pie=pd.DataFrame(quit_df[\"Department\"].value_counts())\n",
+    "quit_pie.index=quit_pie.index.map(dict(zip(department_dict.values(),department_dict.keys())))\n",
+    "quit_pie[\"Department\"].plot(kind=\"pie\",\n",
+    "                        autopct='%.1f%%',\n",
+    "                        title=\"Attrition in different departments\"\n",
+    "                        )\n",
+    "plt.subplot(122)\n",
+    "not_quit_pie=pd.DataFrame(not_quit_df[\"Department\"].value_counts())\n",
+    "not_quit_pie.index=not_quit_pie.index.map(dict(zip(department_dict.values(),department_dict.keys())))\n",
+    "not_quit_pie[\"Department\"].plot(kind=\"pie\",\n",
+    "                        autopct='%.1f%%',\n",
+    "                        title=\"Non-attrition in different departments\"\n",
+    "                        )\n",
+    "plt.show()\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<seaborn.axisgrid.PairGrid at 0x1f5b91cb940>"
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 762.375x720 with 20 Axes>",
+      "image/png": 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\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 各个变量的pairplot\n",
+    "sns.pairplot(df, hue='Attrition', vars=['Age', 'DistanceFromHome', 'MonthlyIncome', 'TotalWorkingYears'], palette='husl')\n"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   }
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/共享单车数据分析/十三组平时作业（实战）/苹果公司股价预测.ipynb b/共享单车数据分析/十三组平时作业（实战）/苹果公司股价预测.ipynb
new file mode 100644
index 0000000..e84b287
--- /dev/null
+++ b/共享单车数据分析/十三组平时作业（实战）/苹果公司股价预测.ipynb
@@ -0,0 +1,93 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "start_time": "2023-07-14T14:39:14.567580Z",
+     "end_time": "2023-07-14T14:39:14.783967Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": "<Figure size 640x480 with 1 Axes>",
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "-0.16729700365714803\n",
+      "-0.03420751642049765\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"\n",
+    "根据苹果股价分时数据.进行分时价格预测。\n",
+    "目标列是Close。\n",
+    "在建立模型之前，要考虑怎么预处理数据，可视化原始数据，我需要大家可视化出来两张数据，第一个是实时成交价格可视化，第二个是价格变化率的可视化\n",
+    "\"\"\"\n",
+    "import matplotlib\n",
+    "import pandas as pd\n",
+    "from matplotlib import pyplot as plt\n",
+    "plt.rcParams['font.sans-serif']='SimHei'#设置中文字符的正常显示\n",
+    "plt.rcParams['axes.unicode_minus'] = False\n",
+    "\n",
+    "## 设置画图风格为R的ggplot风\n",
+    "matplotlib.style.use('ggplot')\n",
+    "data_trading_hour = pd.read_csv(\"数据/aapl-trading-hour.csv\")\n",
+    "data_trading_hour[\"Close\"].plot(linewidth=0.3,color='b')\n",
+    "plt.title('股价每秒收盘价变化趋势')\n",
+    "plt.show()\n",
+    "\n",
+    "\"\"\"\n",
+    "收盘价变化率\n",
+    "\"\"\"\n",
+    "change_rate = data_trading_hour[\"Close\"].diff()/data_trading_hour[\"Close\"]\n",
+    "change_rate.plot(linewidth=0.3,color='b')\n",
+    "plt.title('秒级收盘价变化率')\n",
+    "plt.show()\n",
+    "\n",
+    "## 看看前一秒变化率和后一秒变化率之间的关系。\n",
+    "print(change_rate.shift(1).corr(change_rate))\n",
+    "print(change_rate.shift(2).corr(change_rate))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/共享单车数据分析/数据预处理、相关性及可视化分析.ipynb b/共享单车数据分析/数据预处理、相关性及可视化分析.ipynb
deleted file mode 100644
index 361fd2d..0000000
--- a/共享单车数据分析/数据预处理、相关性及可视化分析.ipynb
+++ /dev/null
@@ -1,1046 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "from sklearn.model_selection import train_test_split\n",
-    "import plotly.express as px\n",
-    "from sklearn.metrics import mean_squared_log_error, r2_score\n",
-    "from sklearn.linear_model import LinearRegression, Ridge\n",
-    "from sklearn.preprocessing import StandardScaler\n",
-    "from sklearn.decomposition import PCA\n",
-    "from sklearn.ensemble import AdaBoostRegressor\n",
-    "from sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor\n",
-    "from sklearn.svm import SVR\n",
-    "from datetime import datetime\n",
-    "\n",
-    "# 设置中文支持\n",
-    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
-    "plt.rcParams['axes.unicode_minus'] = False"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 导入数据"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "train_df = pd.read_csv('train.csv')\n",
-    "test_df = pd.read_csv('test.csv')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "train_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "train_df.info()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "test_df.info()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "得：无整行重复,无缺失值NAN，但可以评估列中某些值为零的数据（例如风速），以确认 0 是否为缺失值。"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 合并训练集和测试集"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(type(train_df))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#full = train_df.append(test_df, ignore_index=True)\n",
-    "full=pd.concat([train_df,test_df],ignore_index=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "full.info()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 拆分时间变量\n",
-    "full['date'] = full.datetime.apply(lambda c: c.split()[0])\n",
-    "full['hour'] = full.datetime.apply(lambda c: c.split()[1].split(':')[0]).astype('int')\n",
-    "full['year'] = full.datetime.apply(lambda c: c.split()[0].split('-')[0]).astype('int')\n",
-    "full['month'] = full.datetime.apply(lambda c: c.split()[0].split('-')[1]).astype('int')\n",
-    "\n",
-    "\n",
-    "def get_weekday(x):\n",
-    "    date1 = x.split()[0]\n",
-    "    date2 = datetime.strptime(date1, '%Y-%m-%d')\n",
-    "    week_day = date2.weekday()\n",
-    "    return week_day\n",
-    "\n",
-    "full['weekday'] = full.datetime.apply(get_weekday)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "full.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 异常值处理"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fig, axes = plt.subplots(nrows=3,ncols=2)\n",
-    "fig.set_size_inches(15, 20)\n",
-    "sns.boxplot(data=full,y=\"count\",orient=\"v\",ax=axes[0][0])\n",
-    "sns.boxplot(data=full,y=\"count\",x=\"hour\",orient=\"v\",ax=axes[0][1])\n",
-    "sns.boxplot(data=full,y=\"count\",x=\"season\",orient=\"v\",ax=axes[1][0])\n",
-    "sns.boxplot(data=full,y=\"count\",x=\"workingday\",orient=\"v\",ax=axes[1][1])\n",
-    "sns.boxplot(data=full,y=\"count\",x=\"holiday\",orient=\"v\",ax=axes[2][0])\n",
-    "sns.boxplot(data=full,y=\"count\",x=\"weather\",orient=\"v\",ax=axes[2][1])\n",
-    "\n",
-    "axes[0][0].set(ylabel='Count',title=\"Count\")\n",
-    "axes[0][1].set(xlabel='Hour Of The Day', ylabel='Count',title=\"Count by Hour of the Day\")\n",
-    "axes[1][0].set(xlabel='Season', ylabel='Count',title=\"Count by Season\")\n",
-    "axes[1][1].set(xlabel='Working Day', ylabel='Count',title=\"Count by Working Day\")\n",
-    "axes[2][0].set(xlabel='Holiday', ylabel='Count',title=\"Count by Holiday\")\n",
-    "axes[2][1].set(xlabel='Weather', ylabel='Count',title=\"Count by Weather\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "季节对比显示，春季的自行车租赁量较低。\n",
-    "具有均值信息的方框图是一天中的时间段，因为它显示最繁忙的时间段是早上7点到8点和下午5点到6点，这意味着用户主要租用自行车去上班/上学和下班回家。\n",
-    "根据方框图4和5（工作日和节假日），我们发现大多数异常值都出现在工作日。从节假日来看，结果是合理的，因为所有异常值都出现在非节假日。\n",
-    "最后一个方框图显示了一个显而易见的常识，即大多数用户在天气晴朗和多云时租用自行车（1和2），而在大雨或下雪时几乎没有用户租用自行车（3）。"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "使用3σ规则来剔除异常值。如果有一个数据点落在平均值的三个标准差之外，则该数据点被视为离群点，可以从数据集中删除。这种方法假定数据呈正态分布，离群值为罕见事件，将来不太可能出现。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Function to detect and print outliers\n",
-    "def detect_outliers(data):\n",
-    "    # mean, standard deviation and 3-sigma of the data\n",
-    "    mean = np.mean(data)\n",
-    "    std = np.std(data)\n",
-    "    threesigma = 3 * std\n",
-    "\n",
-    "    # print upper, lower boundary and boxplot\n",
-    "    sns.boxplot(data, orient=\"v\")\n",
-    "    plt.show()\n",
-    "    lower, upper = mean-3*std, mean+3*std\n",
-    "    print(f\"Upper and lower boundary is: {lower}/{upper}\")\n",
-    "\n",
-    "    # identify outliers and return the outliers\n",
-    "    outliers = [x for x in data if np.abs(x - mean) > threesigma]\n",
-    "    print(f\"There are {len(outliers)} outliers based on three-sigma rule\")\n",
-    "\n",
-    "# Function to delete the outliers\n",
-    "def delete_outliers(data, df):\n",
-    "    # detecting and dropping outliers\n",
-    "    original_shape = df.shape\n",
-    "    mean = np.mean(data)\n",
-    "    std = np.std(data)\n",
-    "    outliers = np.abs(data-mean) > (3*std)\n",
-    "    outliers_num = len(train_df[outliers])\n",
-    "    df.drop(index=data[outliers].index, inplace=True)\n",
-    "\n",
-    "    # print what was deleted\n",
-    "    print(\"Number of outliers deleted:\", outliers_num)\n",
-    "    print (\"Shape of dataframe with Ouliers: \",original_shape)\n",
-    "    print (\"Shape of Dataframe After Deleting the Ouliers: \",df.shape)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "train_with_outliers = train_df\n",
-    "# 查找异常值\n",
-    "detect_outliers(train_df['count'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 从训练集删除异常值\n",
-    "delete_outliers(train_df['count'], train_df)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "对于大多数机器学习技术来说，因变量的正态性假设并不总是必要或可取的。虽然一些传统的统计模型假设因变量的正态性，但许多机器学习算法（如决策树、随机森林和神经网络）并不依赖于此假设。\n",
-    "\n",
-    "但是，请务必注意，当输入特征或预测变量近似呈正态分布时，某些算法可能会假设或表现更好。如果因变量表现出极端偏度或异常值，则应用变换或使用对非正态性更稳健的替代模型可能是有益的"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## temp 温度"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(f\"偏度为：{train_df['temp'].skew()}\")\n",
-    "full['temp'].describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.distplot(full['temp'])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## atemp 体感温度"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(f\"偏度为：{train_df['atemp'].skew()}\")\n",
-    "full['atemp'].describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.distplot(full['atemp'])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## windspeed 风速"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.distplot(full['windspeed'])\n",
-    "a = full[full['windspeed'] == 0].shape[0]\n",
-    "print(f'风速为0的天数为：{a}')\n",
-    "print(f\"偏度为：{train_df['windspeed'].skew()}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "风速为0天数过多，可能存在异常。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "## 处理缺失值\n",
-    "windspeed_df1 = full[full['windspeed'] != 0]\n",
-    "windspeed_df2 = full[full['windspeed'] == 0]\n",
-    "windspeed_df2['windspeed'] = windspeed_df1['windspeed'].interpolate()\n",
-    "#full = windspeed_df1.append(windspeed_df1)\n",
-    "full = pd.concat([windspeed_df1,windspeed_df2])\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.distplot(full['windspeed'])\n",
-    "a = full[full['windspeed'] == 0].shape[0]\n",
-    "print(f'风速为0的天数为：{a}')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "full.info()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Humidity 湿度"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(f\"偏度为：{train_df['humidity'].skew()}\")\n",
-    "train_df['humidity'].describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.distplot(full['humidity'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "train_df[train_df['humidity'] == 0].shape[0]"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "湿度值为0和100为异常数据，考虑可能有传感器错误情况。"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 各个变量与租车数量的关系"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sns.pairplot(full, x_vars=['holiday', 'workingday', 'weather', 'season', 'windspeed', 'humidity', 'temp', 'atemp'],\n",
-    "             y_vars=['casual', 'registered', 'count'], plot_kws={'alpha': 0.1})"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 相关性分析"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "full.corr()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.figure(figsize=(13, 10))\n",
-    "sns.heatmap(full.corr(), annot=True, cmap='YlOrBr_r')\n",
-    "plt.title('Heatmap on Correlation', fontsize=20)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 租赁数量与其他变量的相关性\n",
-    "full.corr()['count'].sort_values(ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "full.corr()['registered'].sort_values(ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "full.corr()['casual'].sort_values(ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 可视化分类数据分析"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## temp 温度"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 按温度取租赁数量平均值\n",
-    "tempr = full.groupby(['temp'], as_index=True).agg({'casual': 'mean', 'registered': 'mean', 'count': 'mean'})\n",
-    "tempr.plot(title='每小时平均租赁数量随温度变化的趋势',figsize=(7,3))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## atemp体感温度"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "atempr = full.groupby(['atemp'], as_index=True).agg({'casual': 'mean',\n",
-    "                                                     'registered': 'mean',\n",
-    "                                                     'count': 'mean'})\n",
-    "atempr.plot(title='每小时平均租赁数量随体感温度变化的趋势',figsize=(7,3))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# 湿度对租赁数量影响"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "humidityr = full.groupby(['humidity'], as_index=True).agg({'casual': 'mean',\n",
-    "                                                           'registered': 'mean',\n",
-    "                                                           'count': 'mean'})\n",
-    "\n",
-    "humidityr.plot(title='不同湿度下每小时的平均租赁次数',figsize=(7,3))\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 年份、月份对租赁数量的影响"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "day_df=full.groupby('date').agg({'year':'mean','month':'mean',\n",
-    "                                      'casual':'sum', 'registered':'sum'\n",
-    "                                      ,'count':'sum'})\n",
-    "month_df = day_df.groupby(['year','month'], as_index=True).agg({'casual':'mean',\n",
-    "                                                                  'registered':'mean',                                                                 'count':'mean'})\n",
-    "month_df.plot(fontsize=8,figsize=(15,4))\n",
-    "tick=list(range(24))\n",
-    "labels=['2011.1','2011.2','2011.3','2011.4','2011.5','2011.6','2011.7','2011.8','2011.9','2011.10','2011.11','2011.12','2012.1','2012.2','2012.3','2012.4','2012.5','2012.6','2012.7','2012.8','2012.9','2012.10','2012.11','2012.12']\n",
-    "plt.xticks(tick,labels,fontsize=8)\n",
-    "plt.title('两年内每月租赁数量变化趋势', fontsize=15)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 按天\n",
-    "day_df1=full.groupby('date').agg({\n",
-    "                                      'casual':'sum', 'registered':'sum'\n",
-    "                                      ,'count':'sum'})\n",
-    "day_df1.plot(fontsize=8,figsize=(8,4),linewidth=0.8)\n",
-    "plt.title('两年内每天租赁数量变化趋势', fontsize=15 )"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.figure(figsize=(15,4))\n",
-    "# 按年\n",
-    "plt.subplot(1,3,1)\n",
-    "sns.barplot(x=full['year'],y=full['count'])\n",
-    "plt.title('by year')\n",
-    "\n",
-    "# 按季度\n",
-    "plt.subplot(1,3,2)\n",
-    "sns.barplot(x=full['season'],y=full['count'])\n",
-    "plt.title('by season')\n",
-    "\n",
-    "# 按月\n",
-    "plt.subplot(1,3,3)\n",
-    "sns.barplot(x=full['month'],y=full['count'])\n",
-    "plt.title('by month')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 时段对租赁数量的影响"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "fig,(ax1,ax2,ax3)= plt.subplots(nrows=3)\n",
-    "fig.set_size_inches(15,20)\n",
-    "full = full.reset_index(drop=True)\n",
-    "\n",
-    "sns.pointplot(x=full['hour'],y=full['count'],hue=full['season'],join=True, palette=\"Paired\", ax=ax1)\n",
-    "\n",
-    "sns.pointplot(x=full['hour'],y=full['count'],hue=full['weekday'],join=True, palette=\"Paired\", ax=ax2)\n",
-    "\n",
-    "sns.lineplot(x=full['hour'], y=full['registered'], color='red',label='Registered', marker='o', ax=ax3, ci=None)\n",
-    "sns.lineplot(x=full['hour'], y=full['casual'], color='blue', label='Casual', marker='o', ax=ax3, ci=None)\n",
-    "\n",
-    "ax3.set_ylabel('Count')\n",
-    "\n",
-    "ax1.set(xlabel='Hour of the Day', ylabel='Count',title=\"不同季节一天内每小时共享单车租借次数\")\n",
-    "ax2.set(xlabel='Hour of the Day', ylabel='Count',title=\"一天内每小时共享单车内租借次数\")\n",
-    "ax3.set(xlabel='Hour of the Day', ylabel='Count',title=\"一天内会员 vs 非会员每小时共享单车租借次数\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "COUNT与REGISTERED类似，但由于大多数用户是注册用户，他们的繁忙时间在上午7-8点和下午4-5点之间，而临时用户的繁忙时间在白天分布较好，但最繁忙的时间在下午1-2点之间。\n",
-    "下图显示了为什么春季是租赁量较少的季节。在所有季节中，春季是大雨/大雪天数最多的季节，这直接影响了租赁需求的减少。\n",
-    "下图中的 \"按季节分时段统计 \"显示了白天的租赁分布情况，这也证明了前面所说的春季是最不喜欢租车的季节。\n",
-    "秋季和夏季往往是租车人数最多的季节。\n",
-    "平日按时间段划分的图表显示，周六和周日的租车模式与平日明显不同，大多数用户在上午11点至下午4点租车。这些周末用户租车是为了休闲，而不是为了上班（上午8点和下午6点）。\n",
-    "在最后一张图中，\"注册用户数与休闲用户数 \"的休闲线中，周末用户的形态也很相似。这可能表明，注册用户是在工作日使用自行车的人，而临时用户在周末租车，在工作日租车时，不需要作为上班的交通工具。"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 天气对租赁情况影响"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "weather_count = full.groupby('weather')\n",
-    "weather_count[['casual', 'registered', 'count']].count()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "weather_df = full.groupby('weather', as_index=True).agg({'casual': 'mean', 'registered': 'mean', 'count': 'mean'})\n",
-    "weather_df.plot.bar(stacked=True, title='不同天气下每小时的平均租赁数量', color=['#c63d40', '#dc8f75', '#ffddb7'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "weather_df.plot(figsize=(8,4))\n",
-    "plt.title('租借数量随天气变化的趋势')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 风速对租借情况影响"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 考虑到风速特别大的时候很少，如果取平均值会出现异常，所以按风速对租赁数量取最大值。\n",
-    "windspeedr = full.groupby(['windspeed'], as_index=True).agg({'casual': 'max', 'registered': 'max', 'count': 'max'})\n",
-    "windspeedr.plot(title='不同风速下每小时启动的最大租赁数量',figsize=(8,4))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 可以看到租赁数量随风速越大租赁数量越少，在风速超过30的时候明显减少，打印异常数据分析\n",
-    "df2 = full[full['windspeed'] > 40]\n",
-    "df2 = df2[df2['count'] > 400]\n",
-    "df2"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "因为是下班高峰期的时间"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 工作日与非工作日的租赁情况"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "day_df=full.groupby('date').agg({'year':'mean','season':'mean',\n",
-    "                                      'casual':'sum', 'registered':'sum'\n",
-    "                                      ,'count':'sum','temp':'mean',\n",
-    "                                      'atemp':'mean','workingday':'mean'})\n",
-    "day_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 对工作日和非工作日租赁数量取了平均值，对一周中每天的租赁数量求和\n",
-    "workingday_df = day_df.groupby(['workingday'], as_index=True).agg({'casual': 'mean', 'registered': 'mean'})\n",
-    "workingday_df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "workingday_df1 = workingday_df.loc[0]\n",
-    "workingday_df2 = workingday_df.loc[1]\n",
-    "workingday_df1.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 绘制非工作日与工作日的临时借车数量和会员借车数量堆积图\n",
-    "width = 0.3\n",
-    "p1 = plt.bar(workingday_df.index, workingday_df['casual'], width,color='#dc8f75')\n",
-    "p2 = plt.bar(workingday_df.index, workingday_df['registered'], width, bottom=workingday_df['casual'],color='#ffddb7')\n",
-    "plt.title('工作日、非工作日每天平均租赁数量')\n",
-    "plt.xticks([0, 1], ('non-working day', 'working day'))\n",
-    "plt.legend((p1[0], p2[0]), ('casual', 'registered'))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# 绘制非工作日临时借车数量和会员借车数量占比饼图\n",
-    "plt.subplot2grid((2, 2), (0, 0))\n",
-    "plt.pie(workingday_df1, labels=['casual', 'registered'], autopct='%1.1f%%',\n",
-    "        pctdistance=0.6, labeldistance=1.35, radius=1.3,colors=['#c63d40','#ffddb7'])\n",
-    "plt.axis('equal')\n",
-    "plt.title('non-working day')\n",
-    "\n",
-    "# 绘制工作日临时借车数量和会员借车数量占比饼图\n",
-    "plt.subplot2grid((2, 2), (0, 1))\n",
-    "plt.pie(workingday_df2, labels=['casual', 'registered'], autopct='%1.1f%%',\n",
-    "        pctdistance=0.6, labeldistance=1.35, radius=1.3,colors=['#c63d40','#ffddb7'])\n",
-    "plt.title('working day')\n",
-    "plt.axis('equal')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "# 查看工作日与非工作日每小时的临时租赁数量，会员租赁数量和总数量的平均值\n",
-    "workingday_df=full[full['workingday']==1]\n",
-    "workingday_df = workingday_df.groupby(['hour'], as_index=True).agg({'casual':'mean',\n",
-    "                                                                    'registered':'mean',\n",
-    "                                                                    'count':'mean'})\n",
-    "\n",
-    "nworkingday_df=full[full['workingday']==0]\n",
-    "nworkingday_df = nworkingday_df.groupby(['hour'], as_index=True).agg({'casual':'mean',\n",
-    "                                                                      'registered':'mean',\n",
-    "                                                                      'count':'mean'})\n",
-    "fig, axes = plt.subplots(1, 2,sharey = True)\n",
-    "\n",
-    "workingday_df.plot(figsize=(15,5),title = '工作日一天内租借数量变化趋势',ax=axes[0])\n",
-    "nworkingday_df.plot(figsize=(15,5),title = '非工作日一天内租借数量变化趋势',ax=axes[1])\n",
-    "\n",
-    "plt.show()\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 节假日的租赁情况"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "day_df=full.groupby('date').agg({'year':'mean',\n",
-    "                                      'casual':'sum', 'registered':'sum'\n",
-    "                                      ,'count':'sum','holiday':'mean'})\n",
-    "holiday_count=day_df.groupby('year', as_index=True).agg({'holiday':'sum'})\n",
-    "holiday_count"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "holiday_df = day_df.groupby('holiday', as_index=True).agg({'casual':'mean', 'registered':'mean'})\n",
-    "holiday_df.plot.bar(stacked=True , title = '假期或非假期每天的平均租赁数量',cmap='Set3')\n",
-    "plt.xticks(rotation=360)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 会员与非会员"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "number_pei=day_df[['casual','registered']].mean()\n",
-    "number_pei"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.axes(aspect='equal')\n",
-    "plt.pie(number_pei, labels=['casual','registered'], autopct='%1.1f%%',\n",
-    "        pctdistance=0.6 , labeldistance=1.05 , radius=1 ,colors=['#c63d40','#ffddb7'])\n",
-    "\n",
-    "plt.title('会员与非会员租借数量占比')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## 决策树模型"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from sklearn.tree import DecisionTreeClassifier\n",
-    "clf1 = DecisionTreeClassifier()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "train_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "train_features = train_df.iloc[:,1:-3]\n",
-    "train_labels_casual = train_df.iloc[:,-3]\n",
-    "test_features = test_df.iloc[:,1:]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "clf1.fit(train_features, train_labels_casual)\n",
-    "predicted_labels_casual = clf1.predict(test_features)\n",
-    "test_df['casual'] = predicted_labels_casual\n",
-    "test_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "clf2 = DecisionTreeClassifier()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "train_labels_registered = train_df.iloc[:,-2]\n",
-    "clf2.fit(train_features, train_labels_registered)\n",
-    "predicted_labels_registered = clf2.predict(test_features)\n",
-    "test_df['registered'] = predicted_labels_registered\n",
-    "test_df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "test_df['count'] = test_df['casual'] + test_df['registered']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "test_df"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "注：在决策树模型中，多次对同一数据进行机器学习，最终预测结果可能会有所不同。"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "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": "3.11.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 1
-}
diff --git a/共享单车数据分析/第十三组 刘闻一 b/共享单车数据分析/第十三组 刘闻一 组员信息
similarity index 100%
rename from 共享单车数据分析/第十三组 刘闻一
rename to 共享单车数据分析/第十三组 刘闻一 组员信息
diff --git a/大众点评数据集分析/第七组/.keep b/大众点评数据集分析/第七组/.keep
new file mode 100644
index 0000000..e69de29
diff --git a/大众点评数据集分析/第七组/第七组实践代码/.keep b/大众点评数据集分析/第七组/第七组实践代码/.keep
new file mode 100644
index 0000000..e69de29
diff --git a/大众点评数据集分析/第七组/第七组实践代码/国民经济核算季度数据.ipynb b/大众点评数据集分析/第七组/第七组实践代码/国民经济核算季度数据.ipynb
new file mode 100644
index 0000000..b238ac3
--- /dev/null
+++ b/大众点评数据集分析/第七组/第七组实践代码/国民经济核算季度数据.ipynb
@@ -0,0 +1,306 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "data = np.load('./国民经济核算季度数据.npz',allow_pickle=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['columns', 'values']"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['序号', '时间', '国内生产总值_当季值(亿元)', '第一产业增加值_当季值(亿元)', '第二产业增加值_当季值(亿元)',\n",
+       "       '第三产业增加值_当季值(亿元)', '农林牧渔业增加值_当季值(亿元)', '工业增加值_当季值(亿元)',\n",
+       "       '建筑业增加值_当季值(亿元)', '批发和零售业增加值_当季值(亿元)', '交通运输、仓储和邮政业增加值_当季值(亿元)',\n",
+       "       '住宿和餐饮业增加值_当季值(亿元)', '金融业增加值_当季值(亿元)', '房地产业增加值_当季值(亿元)',\n",
+       "       '其他行业增加值_当季值(亿元)'], dtype=object)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['columns']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[1, '2000年第一季度', 21329.9, ..., 1235.9, 933.7, 3586.1],\n",
+       "       [2, '2000年第二季度', 24043.4, ..., 1124.0, 904.7, 3464.9],\n",
+       "       [3, '2000年第三季度', 25712.5, ..., 1170.4, 1070.9, 3518.2],\n",
+       "       ...,\n",
+       "       [67, '2016年第三季度', 190529.5, ..., 15472.5, 12164.1, 37964.1],\n",
+       "       [68, '2016年第四季度', 211281.3, ..., 15548.7, 13214.9, 39848.4],\n",
+       "       [69, '2017年第一季度', 180682.7, ..., 17213.5, 12393.4, 42443.1]],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['values']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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AzjqjS5cu9Yi7fPmyMqJjMpmUkR8nm82Gtra2PmMaGxsBoMdoktOaNWsgy7LyqKur6/f6iYiIAslsSxK2LJwIk6QeiDBJEZr16QkWPhsRevPNN5Geno7x48f3G3vixAm0tbUhKanzf5jMzEzIsozDhw9j8uTJAIBDhw5BlmVMnTpVidmwYQMaGhqU95WUlMBoNCI9PV2JefbZZ9Ha2orw8HAlxmw295gyczIajaqaIiIioqFotiUJM9NMmvT9CWYeN1S8du0avvzySwDAHXfcgU2bNmH69OmIi4vDjTfeCKCzriYpKQmvvvoqnnrqKdX7z5w5g23btuHHP/4x4uPjcfLkSaxcuRKRkZE4cuQIQkNDAXSuTquvr8frr78OoHP5fHJysmr5/IQJE5CYmIiXX34ZV65cQUFBAebNm6csn5dlGampqZgxYwaeffZZ1NTUoKCgAL/5zW/cXj7PhopERERDj9u/38JDe/fuFeicclQ9Fi1apMS8/vrrIjIyUjQ3N/d4f21trbjnnntEXFycCA8PF2PHjhXLli0TTU1NqrimpiaxYMECER0dLaKjo8WCBQuEzWZTxZw/f17k5OSIyMhIERcXJ5YsWSJaWlpUMcePHxd33323MBqNwmQyiXXr1omOjg63v68sywKAkGXZ7fcQERGRf7n7+80tNvrBESEiIqKhx93fb5+uGiMiIhrqtNpfy1cC/foCHRMhIiIiFwZjc9CBCPTrGwp82lmaiIhoqHLu4N593y6r3ILFW4+iuLrBxTsHR6Bf31DBRIiIiKgbX+7groVAv76hhIkQERFRN57s4O4PgX59QwlrhIiIiLrx5Q7uWhQ3c4d57TARIiIi6sZXO7hrVdzMHea1w6kxIiKibpw7uLsapzGgM4HxZAd3LYubfXF9esVEiIiIqBvnDu4AeiQb3uzgrnVxs9bXp2dMhIiIiHqh5Q7uvihu5g7z2mCNEBERkQta7eDuq+Jm7jA/cEyEiIiI+hAaYkDm2BEDOocvi5u1uD49YyJERETkY87iZqvc0mudkAGdU1qBUNyst73LmAgRERH5mLO4efHWozAAqmQokIqb9bh3GYuliYiIBkGgFzfrde8yjggRERENkkAtbu5veb8Bncv7Z6aZ/H6tWmMiRERENIgCsbjZk+X9gXbtA8WpMSIiIp3T895lTISIiIh0Ts97lzERIiIi0jk9713GRIiIiEjn9Lx3GRMhIiIijbV3CJSdacIHlRdRdqbJ7c1U/SnQl/f7CleNERERaWgoNyUM1OX9vmQQQgR+mupHdrsdkiRBlmXExMT4+3KIiCiAOZsSdv9hdaYRwTyyEmjc/f3m1BgREZEG+mtKCHQ2JRwK02R6wkSIiIhIA540JaTAwUSIiIhIA3puSjiUMREiIiLSgJ6bEg5lXDVGRESEzhqfgayWcjYltMotvdYJGdC5FD0YmxIOZUyEiIhoSBpo4tKVFkvenU0JF289CgOgSoaCvSnhUMbl8/3g8nkiosCjZa8erZe8D+U+QsHE3d9vJkL9YCJERBRYtExc2jsE7vrdZy5Xezmns0pXz/BoJEfL0SpfnE8P3P395tQYERENGf316jGgs1fPzDSTW4mCJ0veM8eOcPs6Q0MMHsX3hSNMvsVVY0RENGRo3asn0Je8O0e/un9nq9yCxVuPori6wS/XFUw8ToQOHDiAvLw8mM1mGAwG7NixQ3W8oKAABoNB9cjIyFDFOBwOLF26FPHx8YiKisLcuXNx4cIFVYzNZkN+fj4kSYIkScjPz0dzc7Mqpra2Fnl5eYiKikJ8fDyWLVuG1tZWVUxVVRWysrIQGRmJUaNG4fnnnwdnA4mIhiatE5dAXvLOTtWDw+NE6Pr16xg/fjxee+01lzGzZ89GQ0OD8vjkk09Ux5cvX47t27ejqKgIpaWluHbtGnJzc9He3q7EzJ8/H5WVlSguLkZxcTEqKyuRn5+vHG9vb0dOTg6uX7+O0tJSFBUV4b333sPKlSuVGLvdjpkzZ8JsNuPIkSPYvHkzXnnlFWzatMnTr01ERAFA68TFueTd1SSaAZ3TUP5Y8s5O1YPD4xqhOXPmYM6cOX3GGI1GmEymXo/Jsow333wT77zzDu6//34AwNatWzFmzBjs2bMHs2bNwqlTp1BcXIzy8nJMmTIFAPDGG28gMzMTp0+fRmpqKkpKSnDy5EnU1dXBbDYDAF599VUUFBRgw4YNiImJwbZt29DS0oK3334bRqMRFosFX3zxBTZt2oQVK1bAYGChGRHRUKJ1r55AXvIe6NN2wcInNUL79u1DQkICbrnlFhQWFqKxsVE5VlFRgba2NmRnZyuvmc1mWCwWHDx4EABQVlYGSZKUJAgAMjIyIEmSKsZisShJEADMmjULDocDFRUVSkxWVhaMRqMqpr6+HufOnev12h0OB+x2u+pBRESBwZm4AOgxiuNt4jLbkoQtCyfCJKlHkUxShF93iw/kabtgovmqsTlz5uDhhx9GcnIyzp49i+eeew4zZsxARUUFjEYjrFYrwsPDERsbq3pfYmIirFYrAMBqtSIhIaHHuRMSElQxiYmJquOxsbEIDw9Xxdx00009Psd5LCUlpcdnbNy4EevXr/fuyxMRkc85E5fuK6lMA1hJNduShJlppoBaos5O1YND80To0UcfVf5ssVgwadIkJCcn4+OPP8aDDz7o8n1CCNVUVW/TVlrEOAulXU2LrVmzBitWrFCe2+12jBkzxuV1ExHR4PNF4qLlknctBPK0XTDx+fL5pKQkJCcno6amBgBgMpnQ2toKm82mimtsbFRGa0wmEy5dutTjXJcvX1bFOEd+nGw2G9ra2vqMcU7TdR9NcjIajYiJiVE9iIgo8DgTlwcmjELm2BFBmRAE6rRdMPF5ItTU1IS6ujokJXX+j5Weno6wsDDs3r1biWloaEB1dTWmTp0KAMjMzIQsyzh8+LASc+jQIciyrIqprq5GQ8P3PRRKSkpgNBqRnp6uxBw4cEC1pL6kpARms7nHlBkREVEgmm1JQunqGXi3MAN/eGwC3i3MQOnqGUyCNOLxFhvXrl3Dl19+CQC44447sGnTJkyfPh1xcXGIi4vDunXr8NBDDyEpKQnnzp3Ds88+i9raWpw6dQrR0dEAgMWLF+Ojjz7C22+/jbi4OKxatQpNTU2oqKhAaGgogM5ao/r6erz++usAgCeffBLJycnYuXMngM7l8xMmTEBiYiJefvllXLlyBQUFBZg3bx42b94MoHOFWmpqKmbMmIFnn30WNTU1KCgowG9+8xvVMvu+cIsNIiKiocft32/hob179wp0TlWqHosWLRLffPONyM7OFiNHjhRhYWHixhtvFIsWLRK1tbWqc3z77bdiyZIlIi4uTkRGRorc3NweMU1NTWLBggUiOjpaREdHiwULFgibzaaKOX/+vMjJyRGRkZEiLi5OLFmyRLS0tKhijh8/Lu6++25hNBqFyWQS69atEx0dHW5/X1mWBQAhy7JnN4qIiIj8xt3fb2662g+OCBERBQ9uXqof3HSViIioC25eSr3hpqtERBT0uHkpucJEiIiIgho3L6W+MBEiIqKgxs1LqS+sESIioqDmy81LWXw99DERIiKioOarzUtZfB0cODVGRERBzbl5qatxGgM6ExhPNi9l8XXwYCJERERBzbl5KYAeyZA3m5ey+Dq4MBEiIiLNtHcIlJ1pwgeVF1F2pmnAyYBW59Ny81IWXwcX1ggREZEmtK6Z0fp8sy1JmJlmGnBxsy+Lr2nwcUSIiIgGTOuaGV/V4ISGGJA5dgQemDAKmWNHeLXCy1fF1+QfTISIiGhAtK6ZCfQaHF8UX5P/MBEiIqIB0bpmJtBrcLQuvib/YiJEREQDonXNzFCowdGy+Jr8i8XSREQ0IFrXzAyVGhytiq/Jv5gIERHRgDhrZqxyS691PQZ0jpS4WzOj9fl8yVl8TUMXp8aIiGhAtK6ZYQ0ODSYmQkRENGBa18ywBocGi0EIwR7gfbDb7ZAkCbIsIyYmxt+XQ0QU0LTejZ27u5O33P39Zo0QERFpRuuaGdbgkK8xESIiIr/iqA/5ExMhIiLyG633EyPyFIuliYjIL3y1nxiRJ5gIERHRoAv0/cRIP5gIERHRoPPlfmLtHQJlZ5rwQeVFlJ1pYjJFfWKNEBERDTpf7SfGmiPyFEeEiIho0PliPzHWHJE3mAgREdGgc+4n5mqRvAGdIznu7ifGmiPyFhMhIiIadFrvJ+bLmiMKbkyEiIjIY1oUJGu5n5ivao4o+LFYmoiIPKJlQfJsSxJmppkG3FnaFzVHpA9MhIiIyG3OguTu4z/OgmRvdobXYj8xZ82RVW7ptU7IgM6RJndrjkg/ODVGRERuCeSCZK1rjkg/PE6EDhw4gLy8PJjNZhgMBuzYsUM51tbWhtWrV2PcuHGIioqC2WzGT37yE9TX16vOce+998JgMKgejz32mCrGZrMhPz8fkiRBkiTk5+ejublZFVNbW4u8vDxERUUhPj4ey5YtQ2trqyqmqqoKWVlZiIyMxKhRo/D8889DCK4aICLyVKAXJGtZc0T64fHU2PXr1zF+/Hj89Kc/xUMPPaQ69s033+Do0aN47rnnMH78eNhsNixfvhxz587FP//5T1VsYWEhnn/+eeV5ZGSk6vj8+fNx4cIFFBcXAwCefPJJ5OfnY+fOnQCA9vZ25OTkYOTIkSgtLUVTUxMWLVoEIQQ2b94MALDb7Zg5cyamT5+OI0eO4IsvvkBBQQGioqKwcuVKT786EZGuDYWCZK1qjkg/PE6E5syZgzlz5vR6TJIk7N69W/Xa5s2bMXnyZNTW1uLGG29UXh8+fDhMJlOv5zl16hSKi4tRXl6OKVOmAADeeOMNZGZm4vTp00hNTUVJSQlOnjyJuro6mM1mAMCrr76KgoICbNiwATExMdi2bRtaWlrw9ttvw2g0wmKx4IsvvsCmTZuwYsUKGAz8D4OIyF1DpSBZi5oj0g+f1wjJsgyDwYAbbrhB9fq2bdsQHx+P2267DatWrcLVq1eVY2VlZZAkSUmCACAjIwOSJOHgwYNKjMViUZIgAJg1axYcDgcqKiqUmKysLBiNRlVMfX09zp071+v1OhwO2O121YOIiLRvgkgUCHyaCLW0tOBXv/oV5s+fj5iYGOX1BQsW4N1338W+ffvw3HPP4b333sODDz6oHLdarUhISOhxvoSEBFitViUmMTFRdTw2Nhbh4eF9xjifO2O627hxo1KXJEkSxowZ48U3JyIKPixIpmDks+XzbW1teOyxx9DR0YE//vGPqmOFhYXKny0WC26++WZMmjQJR48excSJEwGg12krIYTqdW9inIXSrqbF1qxZgxUrVijP7XY7kyEion9xFiR37yNk4samNET5JBFqa2vDI488grNnz+Kzzz5TjQb1ZuLEiQgLC0NNTQ0mTpwIk8mES5cu9Yi7fPmyMqJjMplw6NAh1XGbzYa2tjZVTPeRn8bGRgDoMVLkZDQaVVNpRESkxoJkCiaaT405k6Camhrs2bMHI0b0X7B24sQJtLW1ISmp8/9JZGZmQpZlHD58WIk5dOgQZFnG1KlTlZjq6mo0NHy/m3BJSQmMRiPS09OVmAMHDqiW1JeUlMBsNuOmm27S4usSEemSsyD5gQmjkDl2BJMgGrIMwsOmOteuXcOXX34JALjjjjuwadMmTJ8+HXFxcTCbzXjooYdw9OhRfPTRR6pRl7i4OISHh+PMmTPYtm0bfvzjHyM+Ph4nT57EypUrERkZiSNHjiA0NBRA5+q0+vp6vP766wA6l88nJyerls9PmDABiYmJePnll3HlyhUUFBRg3rx5yvJ5WZaRmpqKGTNm4Nlnn0VNTQ0KCgrwm9/8xu3l83a7HZIkQZblfke2iIiIKDC4/fstPLR3716Bzr5ZqseiRYvE2bNnez0GQOzdu1cIIURtba245557RFxcnAgPDxdjx44Vy5YtE01NTarPaWpqEgsWLBDR0dEiOjpaLFiwQNhsNlXM+fPnRU5OjoiMjBRxcXFiyZIloqWlRRVz/Phxcffddwuj0ShMJpNYt26d6OjocPv7yrIsAAhZlj29VUREAeO79g5x8MuvxY5jF8TBL78W37X3/++gN+8hChTu/n57PCKkNxwRIqKhzptNUrXcWJXIH9z9/eZeY0REQcy5SWr3rTGcm6QWVzdo8h6ioYqJEBFRkPJmk1Rfbqza3iFQdqYJH1ReRNmZJr9szkrUnc/6CBERkX95skmqc0sKb97jDk61UaDiiBARUZDyZpNUX2ysyqk2CmRMhIiIgpQ3m6RqvbGqL6faiLTARIiIKEh5s0mq1hurejLVRuQPTISIiIKUN5ukar2xqi+m2oi0xESIiCiIOTdJNUnqqSyTFIEtCyf2WqjszXtc0XqqjUhrXDVGRBTkvNkkVauNVZ1TbVa5pdc6IQM6Eyx3p9qItMZEiIhIB5ybpPr6Pb2dY21eGhZvPQoDoEqGvJlqI9Iap8aIiMintJxqI9IaR4SIiMjntJpqI9IaEyEiIhoUWky1EWmNU2NERESkW0yEiIiISLeYCBEREZFuMREiIiIi3WIiRERERLrFRIiIiIh0i4kQERER6RYTISIiItItNlQkIgoS7R2CnZuJPMREiIgoCBRXN2D9zpNokFuU15KkCKzNS+NeXkR94NQYEdEQV1zdgMVbj6qSIACwyi1YvPUoiqsb/HRlRIGPiRAR0RDW3iGwfudJiF6OOV9bv/Mk2jt6i+h8f9mZJnxQeRFlZ5pcxhEFK06NERENYYfPXukxEtSVANAgt+Dw2Ss9NjzldBoRR4SIiIa0xquuk6C+4jidRtSJiRAR0RCWEB3hcdxAp9OIggkTISKiIWxyShySpAi4WiRvQOd01+SUOOU1T6bTiIIdEyEioiEsNMSAtXlpANAjGXI+X5uXpuon5O10GlEwYiJEROQnWq3Ymm1JwpaFE2GS1NNkJikCWxZO7FH47M10GlGw4qoxIiI/0HrF1mxLEmammdzqLO2cTrPKLb3WCRnQmUR1nU4jClYcESIiGmS+WrEVGmJA5tgReGDCKGSOHeFyew1vptOIgpXHidCBAweQl5cHs9kMg8GAHTt2qI4LIbBu3TqYzWZERkbi3nvvxYkTJ1QxDocDS5cuRXx8PKKiojB37lxcuHBBFWOz2ZCfnw9JkiBJEvLz89Hc3KyKqa2tRV5eHqKiohAfH49ly5ahtbVVFVNVVYWsrCxERkZi1KhReP755yEEV0IQkX8ESgNET6fTiIKVx1Nj169fx/jx4/HTn/4UDz30UI/jL730EjZt2oS3334bt9xyC377299i5syZOH36NKKjowEAy5cvx86dO1FUVIQRI0Zg5cqVyM3NRUVFBUJDQwEA8+fPx4ULF1BcXAwAePLJJ5Gfn4+dO3cCANrb25GTk4ORI0eitLQUTU1NWLRoEYQQ2Lx5MwDAbrdj5syZmD59Oo4cOYIvvvgCBQUFiIqKwsqVK727Y0REAxBIDRA9mU4jClYGMYDhEYPBgO3bt2PevHkAOkeDzGYzli9fjtWrVwPoHP1JTEzE7373O/ziF7+ALMsYOXIk3nnnHTz66KMAgPr6eowZMwaffPIJZs2ahVOnTiEtLQ3l5eWYMmUKAKC8vByZmZn4/PPPkZqail27diE3Nxd1dXUwm80AgKKiIhQUFKCxsRExMTHYsmUL1qxZg0uXLsFoNAIAXnzxRWzevBkXLlyAwdD/f+x2ux2SJEGWZcTExHh7q4iIAAAfVF7EM0WV/cb94bEJeGDCKOW5czqt+z/Yzn/FOIpDpObu77emNUJnz56F1WpFdna28prRaERWVhYOHjwIAKioqEBbW5sqxmw2w2KxKDFlZWWQJElJggAgIyMDkiSpYiwWi5IEAcCsWbPgcDhQUVGhxGRlZSlJkDOmvr4e586d6/U7OBwO2O121YOISCtsgEgUWDRNhKxWKwAgMTFR9XpiYqJyzGq1Ijw8HLGxsX3GJCQk9Dh/QkKCKqb758TGxiI8PLzPGOdzZ0x3GzduVOqSJEnCmDFj+v/iRERuYgNEosDik1Vj3aechBD9TkN1j+ktXosY50ygq+tZs2YNZFlWHnV1dX1eNxGRJ9gAkSiwaJoImUwmAD1HWxobG5WRGJPJhNbWVthstj5jLl261OP8ly9fVsV0/xybzYa2trY+YxobGwH0HLVyMhqNiImJUT2IiLTEBohEgUPTRCglJQUmkwm7d+9WXmttbcX+/fsxdepUAEB6ejrCwsJUMQ0NDaiurlZiMjMzIcsyDh8+rMQcOnQIsiyrYqqrq9HQ8H2/jZKSEhiNRqSnpysxBw4cUC2pLykpgdlsxk033aTlVyci8shsSxJKV8/Au4UZ+MNjE/BuYQZKV8/oteDZm+k0InKPx4nQtWvXUFlZicrKSgCdBdKVlZWora2FwWDA8uXL8cILL2D79u2orq5GQUEBhg8fjvnz5wMAJEnCE088gZUrV+LTTz/FsWPHsHDhQowbNw73338/AODWW2/F7NmzUVhYiPLycpSXl6OwsBC5ublITU0FAGRnZyMtLQ35+fk4duwYPv30U6xatQqFhYXKKM78+fNhNBpRUFCA6upqbN++HS+88AJWrFjh1ooxIiJfYgNEogAgPLR3716Bzto81WPRokVCCCE6OjrE2rVrhclkEkajUdxzzz2iqqpKdY5vv/1WLFmyRMTFxYnIyEiRm5sramtrVTFNTU1iwYIFIjo6WkRHR4sFCxYIm82mijl//rzIyckRkZGRIi4uTixZskS0tLSoYo4fPy7uvvtuYTQahclkEuvWrRMdHR1uf19ZlgUAIcuy+zeJiMgHdlXVi4wX9ojk1R8pj4wX9ohdVfX+vjSigOPu7/eA+gjpAfsIEVEgae8QbIBI5AZ3f7+56SoR0RDinE4jIm1w01UiIiLSLSZCREREpFtMhIiIiEi3mAgRERGRbjERIiIiIt3iqjEiIh/icneiwMZEiIjIR4qrG7B+50nVzvFJUgTW5qX1upUGEQ0+To0REXXT3iFQdqYJH1ReRNmZJrR3eN53tri6AYu3HlUlQQBglVuweOtRFFc3uHgnEQ0mjggREXWhxShOe4fA+p0n0Vv6JNC5P9j6nScxM83EaTIiP+OIEBHRv2g1inP47JUe5+hKAGiQW3D47BWXMVqMShFR/zgiREQEbUdxGq+6ToLciWNtEdHg4YgQERG0GcVxSoiOcOsze4tjbRHR4GIiRESEgY/idDU5JQ5JUgRcjRsZ0DnCMzklTvV6f6NSQOeoFKfJiLTDRIiICAMbxekuNMSAtXlpANAjGXI+X5uX1mOKTctRKSJyDxMhIiJ4P4rjymxLErYsnAiTpE6cTFIEtiyc2Gutj5ajUkTkHhZLExHh+1GcxVuPwgCopqf6GsXpy2xLEmammdzuLK3lqBQRuYeJEBHRvzhHcbqv2DK5sWLL1VYaoSEGZI4d4dbnO0elrHJLr3VChn9di7ujUkTUPyZCRERdeDqKA2i33N0Xo1JE1DeDEILLD/pgt9shSRJkWUZMTIy/L4eINKLVZqjO5e7d/yF1nslVPVB/52QfIaKBcff3myNCRKQ7WiUavtpKw5tRKSLyDleNEZGuaNmw0JfL3Z21RQ9MGIXMsSOYBBH5CBMhItINrRsWcrk70dDHRIiIdEPrERwudyca+pgIEZFuaD2Co3UTRiIafEyEiEg3tB7B8XYrDSIKHEyEiGhIaO8QKDvThA8qL6LsTJNbdTzd35OeHKv5CI43W2kQUeDg8nkiCnjeLHd39Z6545Pw5wNnNW1YyOXuREMXGyr2gw0VifzLm4aF/b3nyXtS8OH/NbBhIVEQY0NFIhryvGlY6M57Pvy/Buz/f9NRcd7GERwinWMiREQBy5Pl7s6NTd19T8V5m9uboRJR8GKxNBEFLG+Wu7PJIRF5gokQEQUsb5a7s8khEXlC80TopptugsFg6PF4+umnAQAFBQU9jmVkZKjO4XA4sHTpUsTHxyMqKgpz587FhQsXVDE2mw35+fmQJAmSJCE/Px/Nzc2qmNraWuTl5SEqKgrx8fFYtmwZWltbtf7KROQj3jQsZJNDIvKE5onQkSNH0NDQoDx2794NAHj44YeVmNmzZ6tiPvnkE9U5li9fju3bt6OoqAilpaW4du0acnNz0d7ersTMnz8flZWVKC4uRnFxMSorK5Gfn68cb29vR05ODq5fv47S0lIUFRXhvffew8qVK7X+ykTkI940LPRlk0NvehkRUWDz+fL55cuX46OPPkJNTQ0MBgMKCgrQ3NyMHTt29BovyzJGjhyJd955B48++igAoL6+HmPGjMEnn3yCWbNm4dSpU0hLS0N5eTmmTJkCACgvL0dmZiY+//xzpKamYteuXcjNzUVdXR3MZjMAoKioCAUFBWhsbHR7KTyXzxP5n5Z9hLxdIq/1+YjItwJi+Xxrayu2bt2KFStWwGD4/v997du3DwkJCbjhhhuQlZWFDRs2ICEhAQBQUVGBtrY2ZGdnK/FmsxkWiwUHDx7ErFmzUFZWBkmSlCQIADIyMiBJEg4ePIjU1FSUlZXBYrEoSRAAzJo1Cw6HAxUVFZg+fbovvzoRacibhoVaNjl01ZfIKrdg8daj7CBNNIT5NBHasWMHmpubUVBQoLw2Z84cPPzww0hOTsbZs2fx3HPPYcaMGaioqIDRaITVakV4eDhiY2NV50pMTITVagUAWK1WJXHqKiEhQRWTmJioOh4bG4vw8HAlpjcOhwMOh0N5brfbPf7eRKS90BCDx8vdvXlPd970MiKiocOnidCbb76JOXPmqEZlnNNdAGCxWDBp0iQkJyfj448/xoMPPujyXEII1ahS1z8PJKa7jRs3Yv369a6/FBHpije9jIho6PDZ8vnz589jz549+PnPf95nXFJSEpKTk1FTUwMAMJlMaG1thc1mU8U1NjYqIzwmkwmXLl3qca7Lly+rYrqP/NhsNrS1tfUYKepqzZo1kGVZedTV1fX/ZYkoaLEvEVFw81ki9NZbbyEhIQE5OTl9xjU1NaGurg5JSZ3z6+np6QgLC1NWmwFAQ0MDqqurMXXqVABAZmYmZFnG4cOHlZhDhw5BlmVVTHV1NRoaGpSYkpISGI1GpKenu7weo9GImJgY1YOI9It9iYiCm08SoY6ODrz11ltYtGgRhg37fvbt2rVrWLVqFcrKynDu3Dns27cPeXl5iI+Px7//+78DACRJwhNPPIGVK1fi008/xbFjx7Bw4UKMGzcO999/PwDg1ltvxezZs1FYWIjy8nKUl5ejsLAQubm5SE1NBQBkZ2cjLS0N+fn5OHbsGD799FOsWrUKhYWFTG6IyG3sS0QU3HySCO3Zswe1tbX42c9+pno9NDQUVVVVeOCBB3DLLbdg0aJFuOWWW1BWVobo6Ggl7ve//z3mzZuHRx55BNOmTcPw4cOxc+dOhIaGKjHbtm3DuHHjkJ2djezsbNx+++145513VJ/18ccfIyIiAtOmTcMjjzyCefPm4ZVXXvHFVyYiDXjbp8eX/X182ZeIiPzP532Ehjr2ESIaHN726Rms/j7sI0Q0tLj7+81EqB9MhIh8z1WfHucYi6s+Pd6+z1vtHUKTvkRE5Hvu/n5z01Ui8qv++vQAnX16uk93efu+gXD2JXpgwihkjh3BJIgoCDARIiK/8qRPjxbvIyLqiokQEfmVt3162N+HiLTARIiI/MrbPj3s70NEWmAiRER+5W2fHvb3ISItMBEiIr/ytk8P+/sQkRaYCBHRoOveAHFmmglbFk6ESVJPY5mkiD6XwM+2JHn1PiIiJ/YR6gf7CBFpq6/GhDPTTF716WF/HyLqjg0VNcJEiKhvniQhg90AkYj0y93f72EujxAR9cOTbSf6a4BoQGcDxJlpJo7mENGgYY0QEXnFObrTvamhVW7B4q1HUVzdoHqdDRCJKBAxESIij3mzvQUbIBJRIGIiREQe82Z0hw0QiSgQMREiIo95M7rDBohEFIiYCBGRx7wZ3WEDRCIKREyEiMhj3o7usAEiEQUaLp8nIo85R3cWbz0KA6Aqmu5vdGe2JcnrxolERFpjQ8V+sKEikWue9BEiIhpMbKhIRD7H0R0iGuqYCBHRgISGGJA5dkSP17n/FxENBUyEiEhznDIjoqGCq8aIqF/tHQJlZ5rwQeVFlJ1pUnWM7s7TrTeIiPyJI0JE1CdurEpEwYwjQkTkEjdWJaJgx0SIiHrFjVWJSA+YCBEFIU9qelzhxqpEpAesESIKMlqt2BrIxqpWuaXXkSQDOrfT4MaqRBQoOCJEFEQGsmKr+yhS/A+Mbn0mN1YloqGMI0JEQWIgK7Z6G0UyxRhxw/AwyN+0eTS649xYtcf52EeIiAIQEyGiIOFJTU/XTtDOUaTuyc4lu0N5jRurElGwYiJEFCS8qelxZxRJGh6GiGGhsNo9G91xtfUGEVEgYSJEFCS8WbHlzihS8zdt2PbERISEGDi6Q0RBh4kQUZDwZsWWu6NIX1934IEJo7S5UCKiAKL5qrF169bBYDCoHiaTSTkuhMC6detgNpsRGRmJe++9FydOnFCdw+FwYOnSpYiPj0dUVBTmzp2LCxcuqGJsNhvy8/MhSRIkSUJ+fj6am5tVMbW1tcjLy0NUVBTi4+OxbNkytLa2av2ViQKCNyu22PeHiPTOJ8vnb7vtNjQ0NCiPqqoq5dhLL72ETZs24bXXXsORI0dgMpkwc+ZMXL16VYlZvnw5tm/fjqKiIpSWluLatWvIzc1Fe3u7EjN//nxUVlaiuLgYxcXFqKysRH5+vnK8vb0dOTk5uH79OkpLS1FUVIT33nsPK1eu9MVXJgoIzhVbJkmduJikCGxZOLFHTY9zFMnVJJcBnT2I2PeHiIKVQQjhecvZPqxbtw47duxAZWVlj2NCCJjNZixfvhyrV68G0Dn6k5iYiN/97nf4xS9+AVmWMXLkSLzzzjt49NFHAQD19fUYM2YMPvnkE8yaNQunTp1CWloaysvLMWXKFABAeXk5MjMz8fnnnyM1NRW7du1Cbm4u6urqYDabAQBFRUUoKChAY2MjYmJi3Po+drsdkiRBlmW330M0GNo7hMtVWX0d6865agzofWVYbwkUEVGgc/f32ycjQjU1NTCbzUhJScFjjz2Gr776CgBw9uxZWK1WZGdnK7FGoxFZWVk4ePAgAKCiogJtbW2qGLPZDIvFosSUlZVBkiQlCQKAjIwMSJKkirFYLEoSBACzZs2Cw+FARUWFy2t3OByw2+2qB1GgKa5uwF2/+wyPv1GOZ4oq8fgb5bjrd58pDROdK7YemDAKmWNH9FnY7OkoEhFRMNG8WHrKlCn461//iltuuQWXLl3Cb3/7W0ydOhUnTpyA1WoFACQmJqrek5iYiPPnzwMArFYrwsPDERsb2yPG+X6r1YqEhIQen52QkKCK6f45sbGxCA8PV2J6s3HjRqxfv97Db000eFz1/XF2j+4veelttIh9f4hIrzRPhObMmaP8edy4ccjMzMTYsWPxl7/8BRkZGQAAg0H9j6sQosdr3XWP6S3em5ju1qxZgxUrVijP7XY7xowZ0+e1EbnLkykrV+/3tns00P8+ZOz7Q0R64/O9xqKiojBu3DjU1NQoq8e6j8g0NjYqozcmkwmtra2w2Wx9xly6dKnHZ12+fFkV0/1zbDYb2traeowUdWU0GhETE6N6EGmhv+ksd3izI3zXz/d2HzIiomDl80TI4XDg1KlTSEpKQkpKCkwmE3bv3q0cb21txf79+zF16lQAQHp6OsLCwlQxDQ0NqK6uVmIyMzMhyzIOHz6sxBw6dAiyLKtiqqur0dDw/T/uJSUlMBqNSE9P9+l3JupOqyTEm+7RQP8jSUDnSFJ7h6ZrJ4iIAp7mU2OrVq1CXl4ebrzxRjQ2NuK3v/0t7HY7Fi1aBIPBgOXLl+OFF17AzTffjJtvvhkvvPAChg8fjvnz5wMAJEnCE088gZUrV2LEiBGIi4vDqlWrMG7cONx///0AgFtvvRWzZ89GYWEhXn/9dQDAk08+idzcXKSmpgIAsrOzkZaWhvz8fLz88su4cuUKVq1ahcLCQo7y0KAa6HRW1+m0r6863PrM7n1/vN2HjIgo2GmeCF24cAGPP/44vv76a4wcORIZGRkoLy9HcnIyAOA//uM/8O233+KXv/wlbDYbpkyZgpKSEkRHRyvn+P3vf49hw4bhkUcewbfffov77rsPb7/9NkJDQ5WYbdu2YdmyZcrqsrlz5+K1115TjoeGhuLjjz/GL3/5S0ybNg2RkZGYP38+XnnlFa2/MlGfBpKE9FbTE2IAXA3cuNoR3tuRJCKiYKd5H6Fgwz5CNFAfVF7EM0WV/cb94bEJqm0sXK0Oc6Wvvj9lZ5rw+Bvl/Z7j3cIMjggRUVDwax8hIvqeN9tY9DWd5tR9Fq2vvj/sIE1E1DtuukrkY95shtrfdBrQOT32XM6tiI829rsU37kP2eKtR2FA7x2ku+9DRkSkBxwRItJYe4dA2ZkmfFB5EWVnmgDA481Q3a3ViY82utU9GmAHaSKi3nBEiEhDfTUs3LJwYo9jpi7NDLvy1a7w7CBNRKTGRIhII+5sfVG6eoZbSYg302nucu5DRkREnBoj0oS7DQsB9LoZqhbTaURE5DmOCJHuDXT/L0D7XkHeTKcREZHnmAiRrvW3Cam7vG1YqOV0GhEReY6JEOmWO0mIq2So+yhS/A+Mbn2mu72Cum+9wZoeIiLfYCJEujSQ/b96G0UyxRhxw/AwyN+0adYriPt/ERH5HoulSZc8SUK6crWL/CW7A83/SoK07hXE/b+IiHyHiRDpkjdJiDujSDcMD0NijHsNC33VK4iIiNzHqTHSJW+SEHdGkZq/acO2JyYiJMTg115BRETkHo4IkS55swmpu6NIX1939NorqDvn/l/Oz+v++QB7BRER+RoTIQpI3RsMtnf0tQ+75+cDPG9Y6IupLO7/RUTkX5wao4CjVW8fd87XX8PCrsvk46OMMMVE4JJd26ks7v9FROQ/BiHEwP6vdpCz2+2QJAmyLCMmJsbflxP0XPX2caYEno6SuHM+V0lIbwnUDcPD0PxNGwyA6pzeXh8REfmGu7/fHBGigDGQ3j4DPV9v2170lkDJ37QBAKR/JURO3PaCiGhoYiJEAUPrBoPens+dBCpiWAi2/XwKvr7m4FQWEdEQxkSIAoYWDQa71vTUXLrm1fncSaCsdgdCDAY8MGGUW59BRESBiYkQeUSLndpdGeiqrN5qerw5Hzs+ExHpBxMhcpvWq7kAaLYqy1VNT19cnY8dn4mI9IOJELllIDu193XO3lZlOetweluV1VuDwb5qelzp63zs+ExEpB9sqEj96q94GOhcfeVJ00NXm5d2XZXVVdcGg92bI5Z/1eTxdFhfDQvZ8ZmISD84IkT90no110BWZfU6ihQZ1suZeloyfSxuTox2q7bJ2fG5r2aLREQ09DERCgK+LGAGBl483P36OoTwalWWq+m55m/b4I5p/zbSrUTNiR2fiYiCHxOhIc7XBcwJ0RGI/4HRrff1Vjw8kBGcromVN3VATgOp6QkNMXiUPBER0dDCRGgIG6wCZlOMETcMD4P8TZtHxcMDHcHpmlj1Nz3nCmt6iIioLyyWHqIGs4D5kt2B5n8lQe4WDw90BCepW2Ll7vRc99Em7uJORER94YjQEKVFAXP3Hj7rPuy7gFkaHoaIYaGw2vsvHtZ6BMfdnj3/NX8iQkIMrOkhIiK3MBEaogZawOxpF2YBoPmbNmx7wnWi4c32FjdEhqmmylwlVu729skYO4KJDxERuY2J0BDSNdH4+qrDrfe4KmD2tAuz09fXHb3ur+Xt9hbujuA4e/ss3nrUo2aLREREfWEiNET0lmiEGABXJUCuCpgHUrsDaJdYeTOCw94+RESkNc2LpTdu3Ig777wT0dHRSEhIwLx583D69GlVTEFBAQwGg+qRkZGhinE4HFi6dCni4+MRFRWFuXPn4sKFC6oYm82G/Px8SJIESZKQn5+P5uZmVUxtbS3y8vIQFRWF+Ph4LFu2DK2trVp/bZ9yVcTcVxIE9D5CMpDane4FzID221v0Z7YlCaWrZ+Ddwgz84bEJeLcwA6WrZzAJIiIir2g+IrR//348/fTTuPPOO/Hdd9/h17/+NbKzs3Hy5ElERUUpcbNnz8Zbb72lPA8PD1edZ/ny5di5cyeKioowYsQIrFy5Erm5uaioqEBoaCgAYP78+bhw4QKKi4sBAE8++STy8/Oxc+dOAEB7eztycnIwcuRIlJaWoqmpCYsWLYIQAps3b9b6q2uiew+f9OTYfhON7iNDXUdIup+va6Gzu7ROrAY6gsPePkREpBWDEMLbWRK3XL58GQkJCdi/fz/uueceAJ0jQs3NzdixY0ev75FlGSNHjsQ777yDRx99FABQX1+PMWPG4JNPPsGsWbNw6tQppKWloby8HFOmTAEAlJeXIzMzE59//jlSU1Oxa9cu5Obmoq6uDmazGQBQVFSEgoICNDY2IiYmpt/rt9vtkCQJsiy7FT8QvU1/xUWF4cr1/vvuPJdzK+Kjjf1uR+Hu+brqq0HjB5UX8UxRZb/n8GR7CyIiooFy9/fb5zVCsiwDAOLi1FMq+/btQ0JCAm644QZkZWVhw4YNSEhIAABUVFSgra0N2dnZSrzZbIbFYsHBgwcxa9YslJWVQZIkJQkCgIyMDEiShIMHDyI1NRVlZWWwWCxKEgQAs2bNgsPhQEVFBaZPn97jeh0OBxyO7wuR7Xa7NjeiH67qbNxNWuKjjW5tR9Hf+QwAEmOMePWRCT32+eqNu8vaPd3egoiIaDD4NBESQmDFihW46667YLFYlNfnzJmDhx9+GMnJyTh79iyee+45zJgxAxUVFTAajbBarQgPD0dsbKzqfImJibBarQAAq9WqJE5dJSQkqGISExNVx2NjYxEeHq7EdLdx40asX79+QN/bUwMtYAbUCYm753O1+mrd3Nsw7d/i3fpcd5e1e7O9BRERka/5NBFasmQJjh8/jtLSUtXrzukuALBYLJg0aRKSk5Px8ccf48EHH3R5PiEEDIbvRya6/nkgMV2tWbMGK1asUJ7b7XaMGTPG5TV5q/tSeG8KmIHeEw1363Zio8Jx5fr3hePe1O5wWTsREQ1lPkuEli5dig8//BAHDhzA6NGj+4xNSkpCcnIyampqAAAmkwmtra2w2WyqUaHGxkZMnTpVibl06VKPc12+fFkZBTKZTDh06JDquM1mQ1tbW4+RIiej0Qij0b1NRr3lbc+d7lwlGu42W3wu51aYpMgBd2HmsnYiIhqqNE+EhBBYunQptm/fjn379iElJaXf9zQ1NaGurg5JSZ0/mOnp6QgLC8Pu3bvxyCOPAAAaGhpQXV2Nl156CQCQmZkJWZZx+PBhTJ48GQBw6NAhyLKsJEuZmZnYsGEDGhoalHOXlJTAaDQiPT1d66/uloE0M4xzcwTH3bodkxSpWd3ObEsSZqaZVCvUWBRNRESBTvNVY7/85S/xv//7v/jggw+QmpqqvC5JEiIjI3Ht2jWsW7cODz30EJKSknDu3Dk8++yzqK2txalTpxAdHQ0AWLx4MT766CO8/fbbiIuLw6pVq9DU1KRaPj9nzhzU19fj9ddfB9C5fD45OVm1fH7ChAlITEzEyy+/jCtXrqCgoADz5s1ze/m8lqvG2jsE7vrdZx6PBDmnv/b/v+moOG/rN9Fwfk5/dTulq2cwUSEioqDk7u+35g0Vt2zZAlmWce+99yIpKUl5/O1vfwMAhIaGoqqqCg888ABuueUWLFq0CLfccgvKysqUJAgAfv/732PevHl45JFHMG3aNAwfPhw7d+5UkiAA2LZtG8aNG4fs7GxkZ2fj9ttvxzvvvKMcDw0Nxccff4yIiAhMmzYNjzzyCObNm4dXXnlF66/tFm967nSd/gofFoLMsSPwwIRRyOyjI7Ozbqfr+3s7H5MgIiLSO5/3ERrqtBwRcrfnTld99fDpT2+1SAM5HxER0VARMH2E6Hvu1u701hzRG6zbISIi6hsToUHkbs+dgmkpmiUr3I6CiIjINc1rhMg11u4QEREFFiZCg8zZc8ckqafJTFIEtiycyNodIiKiQcSpMT9g7Q4REVFgYCLkJ6zdISIi8j9OjREREZFuMREiIiIi3WIiRERERLrFRIiIiIh0i4kQERER6RYTISIiItItJkJERESkW0yEiIiISLeYCBEREZFusbN0P4To3Cfebrf7+UqIiIjIXc7fbefvuCtMhPpx9epVAMCYMWP8fCVERETkqatXr0KSJJfHDaK/VEnnOjo6UF9fj+joaBgM2m6KarfbMWbMGNTV1SEmJkbTcw8lvA+deB868T58j/eiE+9DJ96H77lzL4QQuHr1KsxmM0JCXFcCcUSoHyEhIRg9erRPPyMmJkb3f6kB3gcn3odOvA/f473oxPvQiffhe/3di75GgpxYLE1ERES6xUSIiIiIdIuJkB8ZjUasXbsWRqPR35fiV7wPnXgfOvE+fI/3ohPvQyfeh+9peS9YLE1ERES6xREhIiIi0i0mQkRERKRbTISIiIhIt5gIERERkW4xEfKTP/7xj0hJSUFERATS09Pxj3/8w9+X5HMHDhxAXl4ezGYzDAYDduzYoTouhMC6detgNpsRGRmJe++9FydOnPDPxfrIxo0bceeddyI6OhoJCQmYN28eTp8+rYrRw30AgC1btuD2229XGqJlZmZi165dynG93IfuNm7cCIPBgOXLlyuv6eFerFu3DgaDQfUwmUzKcT3cg64uXryIhQsXYsSIERg+fDgmTJiAiooK5bge7sdNN93U4++EwWDA008/DUC7e8BEyA/+9re/Yfny5fj1r3+NY8eO4e6778acOXNQW1vr70vzqevXr2P8+PF47bXXej3+0ksvYdOmTXjttddw5MgRmEwmzJw5U9nvLRjs378fTz/9NMrLy7F792589913yM7OxvXr15UYPdwHABg9ejRefPFF/POf/8Q///lPzJgxAw888IDyD5le7kNXR44cwZ///Gfcfvvtqtf1ci9uu+02NDQ0KI+qqirlmF7uAQDYbDZMmzYNYWFh2LVrF06ePIlXX30VN9xwgxKjh/tx5MgR1d+H3bt3AwAefvhhABreA0GDbvLkyeKpp55SvfajH/1I/OpXv/LTFQ0+AGL79u3K846ODmEymcSLL76ovNbS0iIkSRJ/+tOf/HCFg6OxsVEAEPv37xdC6Pc+OMXGxor//u//1uV9uHr1qrj55pvF7t27RVZWlnjmmWeEEPr5O7F27Voxfvz4Xo/p5R44rV69Wtx1110uj+vtfjg988wzYuzYsaKjo0PTe8ARoUHW2tqKiooKZGdnq17Pzs7GwYMH/XRV/nf27FlYrVbVfTEajcjKygrq+yLLMgAgLi4OgH7vQ3t7O4qKinD9+nVkZmbq8j48/fTTyMnJwf333696XU/3oqamBmazGSkpKXjsscfw1VdfAdDXPQCADz/8EJMmTcLDDz+MhIQE3HHHHXjjjTeU43q7H0Dnb+fWrVvxs5/9DAaDQdN7wERokH399ddob29HYmKi6vXExERYrVY/XZX/Ob+7nu6LEAIrVqzAXXfdBYvFAkB/96Gqqgo/+MEPYDQa8dRTT2H79u1IS0vT3X0oKirC0aNHsXHjxh7H9HIvpkyZgr/+9a/4+9//jjfeeANWqxVTp05FU1OTbu6B01dffYUtW7bg5ptvxt///nc89dRTWLZsGf76178C0M/fia527NiB5uZmFBQUAND2HnD3eT8xGAyq50KIHq/pkZ7uy5IlS3D8+HGUlpb2OKaX+5CamorKyko0Nzfjvffew6JFi7B//37luB7uQ11dHZ555hmUlJQgIiLCZVyw34s5c+Yofx43bhwyMzMxduxY/OUvf0FGRgaA4L8HTh0dHZg0aRJeeOEFAMAdd9yBEydOYMuWLfjJT36ixOnlfgDAm2++iTlz5sBsNqte1+IecERokMXHxyM0NLRHxtrY2Ngjs9UT5+oQvdyXpUuX4sMPP8TevXsxevRo5XW93Yfw8HD827/9GyZNmoSNGzdi/Pjx+MMf/qCr+1BRUYHGxkakp6dj2LBhGDZsGPbv34///M//xLBhw5Tvq4d70VVUVBTGjRuHmpoaXf19AICkpCSkpaWpXrv11luVBTV6ux/nz5/Hnj178POf/1x5Tct7wERokIWHhyM9PV2pfnfavXs3pk6d6qer8r+UlBSYTCbVfWltbcX+/fuD6r4IIbBkyRK8//77+Oyzz5CSkqI6rpf74IoQAg6HQ1f34b777kNVVRUqKyuVx6RJk7BgwQJUVlbihz/8oW7uRVcOhwOnTp1CUlKSrv4+AMC0adN6tNX44osvkJycDEB//0689dZbSEhIQE5OjvKapvdAk1Ju8khRUZEICwsTb775pjh58qRYvny5iIqKEufOnfP3pfnU1atXxbFjx8SxY8cEALFp0yZx7Ngxcf78eSGEEC+++KKQJEm8//77oqqqSjz++OMiKSlJ2O12P1+5dhYvXiwkSRL79u0TDQ0NyuObb75RYvRwH4QQYs2aNeLAgQPi7Nmz4vjx4+LZZ58VISEhoqSkRAihn/vQm66rxoTQx71YuXKl2Ldvn/jqq69EeXm5yM3NFdHR0cq/i3q4B06HDx8Ww4YNExs2bBA1NTVi27ZtYvjw4WLr1q1KjF7uR3t7u7jxxhvF6tWrexzT6h4wEfKT//qv/xLJyckiPDxcTJw4UVk+Hcz27t0rAPR4LFq0SAjRuSR07dq1wmQyCaPRKO655x5RVVXl34vWWG/fH4B46623lBg93AchhPjZz36m/DcwcuRIcd999ylJkBD6uQ+96Z4I6eFePProoyIpKUmEhYUJs9ksHnzwQXHixAnluB7uQVc7d+4UFotFGI1G8aMf/Uj8+c9/Vh3Xy/34+9//LgCI06dP9zim1T0wCCHEAEasiIiIiIYs1ggRERGRbjERIiIiIt1iIkRERES6xUSIiIiIdIuJEBEREekWEyEiIiLSLSZCREREpFtMhIiIiEi3mAgRERGRbjERIiIiIt1iIkRERES6xUSIiIiIdOv/A747LD5q2d7oAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.scatter(range(69),data['values'][:,2])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i in [3,4,5]:\n",
+    "    plt.scatter(range(69),data['values'][:,i])\n",
+    "plt.legend(['1','2','3'])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(range(69),data['values'][:,2])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "l=['r','g','b']\n",
+    "m=['o','*','D']\n",
+    "for j,i in enumerate([3,4,5]):\n",
+    "    plt.plot(range(69),data['values'][:,i],c=l[j],marker=m[j],alpha=0.5)\n",
+    "plt.legend(['1','2','3'])\n",
+    "plt.show()    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[1, '2000年第一季度', 21329.9, ..., 1235.9, 933.7, 3586.1],\n",
+       "       [2, '2000年第二季度', 24043.4, ..., 1124.0, 904.7, 3464.9],\n",
+       "       [3, '2000年第三季度', 25712.5, ..., 1170.4, 1070.9, 3518.2],\n",
+       "       ...,\n",
+       "       [67, '2016年第三季度', 190529.5, ..., 15472.5, 12164.1, 37964.1],\n",
+       "       [68, '2016年第四季度', 211281.3, ..., 15548.7, 13214.9, 39848.4],\n",
+       "       [69, '2017年第一季度', 180682.7, ..., 17213.5, 12393.4, 42443.1]],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data['values']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "num=data['values'][68,3:6]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.bar(range(len(num)),num)\n",
+    "plt.xticks(range(len(num)),['1','2','3'])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 400x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(4,4))\n",
+    "plt.pie(num,autopct='%.2f %%',explode=[0.1,0,0],labels=['1','2','3'],labeldistance=1.4)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "num=(list(data['values'][:,3]),list(data['values'][:,4]),list(data['values'][:,5]))\n",
+    "plt.boxplot(num)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/大众点评数据集分析/第七组/第七组实践代码/垃圾邮件在线识别.zip b/大众点评数据集分析/第七组/第七组实践代码/垃圾邮件在线识别.zip
new file mode 100644
index 0000000..2597fe4
Binary files /dev/null and b/大众点评数据集分析/第七组/第七组实践代码/垃圾邮件在线识别.zip differ
diff --git a/大众点评数据集分析/第七组/第七组实践代码/数据分析案例_离职分析.ipynb b/大众点评数据集分析/第七组/第七组实践代码/数据分析案例_离职分析.ipynb
new file mode 100644
index 0000000..b7aa19b
--- /dev/null
+++ b/大众点评数据集分析/第七组/第七组实践代码/数据分析案例_离职分析.ipynb
@@ -0,0 +1,1178 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from sklearn.preprocessing import LabelEncoder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Age</th>\n",
+       "      <th>Attrition</th>\n",
+       "      <th>BusinessTravel</th>\n",
+       "      <th>Department</th>\n",
+       "      <th>DistanceFromHome</th>\n",
+       "      <th>Education</th>\n",
+       "      <th>EducationField</th>\n",
+       "      <th>EmployeeCount</th>\n",
+       "      <th>EmployeeID</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>...</th>\n",
+       "      <th>NumCompaniesWorked</th>\n",
+       "      <th>Over18</th>\n",
+       "      <th>PercentSalaryHike</th>\n",
+       "      <th>StandardHours</th>\n",
+       "      <th>StockOptionLevel</th>\n",
+       "      <th>TotalWorkingYears</th>\n",
+       "      <th>TrainingTimesLastYear</th>\n",
+       "      <th>YearsAtCompany</th>\n",
+       "      <th>YearsSinceLastPromotion</th>\n",
+       "      <th>YearsWithCurrManager</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>51</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Travel_Rarely</td>\n",
+       "      <td>Sales</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Life Sciences</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>31</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>Travel_Frequently</td>\n",
+       "      <td>Research &amp; Development</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Life Sciences</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Female</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>23</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>32</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Travel_Frequently</td>\n",
+       "      <td>Research &amp; Development</td>\n",
+       "      <td>17</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Other</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>15</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>38</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Non-Travel</td>\n",
+       "      <td>Research &amp; Development</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Life Sciences</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>8</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>32</td>\n",
+       "      <td>No</td>\n",
+       "      <td>Travel_Rarely</td>\n",
+       "      <td>Research &amp; Development</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Medical</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>Y</td>\n",
+       "      <td>12</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 24 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Age Attrition     BusinessTravel              Department  DistanceFromHome  \\\n",
+       "0   51        No      Travel_Rarely                   Sales                 6   \n",
+       "1   31       Yes  Travel_Frequently  Research & Development                10   \n",
+       "2   32        No  Travel_Frequently  Research & Development                17   \n",
+       "3   38        No         Non-Travel  Research & Development                 2   \n",
+       "4   32        No      Travel_Rarely  Research & Development                10   \n",
+       "\n",
+       "   Education EducationField  EmployeeCount  EmployeeID  Gender  ...  \\\n",
+       "0          2  Life Sciences              1           1  Female  ...   \n",
+       "1          1  Life Sciences              1           2  Female  ...   \n",
+       "2          4          Other              1           3    Male  ...   \n",
+       "3          5  Life Sciences              1           4    Male  ...   \n",
+       "4          1        Medical              1           5    Male  ...   \n",
+       "\n",
+       "   NumCompaniesWorked Over18 PercentSalaryHike  StandardHours  \\\n",
+       "0                 1.0      Y                11              8   \n",
+       "1                 0.0      Y                23              8   \n",
+       "2                 1.0      Y                15              8   \n",
+       "3                 3.0      Y                11              8   \n",
+       "4                 4.0      Y                12              8   \n",
+       "\n",
+       "   StockOptionLevel TotalWorkingYears  TrainingTimesLastYear  YearsAtCompany  \\\n",
+       "0                 0               1.0                      6               1   \n",
+       "1                 1               6.0                      3               5   \n",
+       "2                 3               5.0                      2               5   \n",
+       "3                 3              13.0                      5               8   \n",
+       "4                 2               9.0                      2               6   \n",
+       "\n",
+       "   YearsSinceLastPromotion  YearsWithCurrManager  \n",
+       "0                        0                     0  \n",
+       "1                        1                     4  \n",
+       "2                        0                     3  \n",
+       "3                        7                     5  \n",
+       "4                        0                     4  \n",
+       "\n",
+       "[5 rows x 24 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('quit_dataset.csv')\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<bound method DataFrame.info of       Age Attrition     BusinessTravel              Department  \\\n",
+       "0      51        No      Travel_Rarely                   Sales   \n",
+       "1      31       Yes  Travel_Frequently  Research & Development   \n",
+       "2      32        No  Travel_Frequently  Research & Development   \n",
+       "3      38        No         Non-Travel  Research & Development   \n",
+       "4      32        No      Travel_Rarely  Research & Development   \n",
+       "...   ...       ...                ...                     ...   \n",
+       "4405   42        No      Travel_Rarely  Research & Development   \n",
+       "4406   29        No      Travel_Rarely  Research & Development   \n",
+       "4407   25        No      Travel_Rarely  Research & Development   \n",
+       "4408   42        No      Travel_Rarely                   Sales   \n",
+       "4409   40        No      Travel_Rarely  Research & Development   \n",
+       "\n",
+       "      DistanceFromHome  Education EducationField  EmployeeCount  EmployeeID  \\\n",
+       "0                    6          2  Life Sciences              1           1   \n",
+       "1                   10          1  Life Sciences              1           2   \n",
+       "2                   17          4          Other              1           3   \n",
+       "3                    2          5  Life Sciences              1           4   \n",
+       "4                   10          1        Medical              1           5   \n",
+       "...                ...        ...            ...            ...         ...   \n",
+       "4405                 5          4        Medical              1        4406   \n",
+       "4406                 2          4        Medical              1        4407   \n",
+       "4407                25          2  Life Sciences              1        4408   \n",
+       "4408                18          2        Medical              1        4409   \n",
+       "4409                28          3        Medical              1        4410   \n",
+       "\n",
+       "      Gender  ...  NumCompaniesWorked Over18 PercentSalaryHike  StandardHours  \\\n",
+       "0     Female  ...                 1.0      Y                11              8   \n",
+       "1     Female  ...                 0.0      Y                23              8   \n",
+       "2       Male  ...                 1.0      Y                15              8   \n",
+       "3       Male  ...                 3.0      Y                11              8   \n",
+       "4       Male  ...                 4.0      Y                12              8   \n",
+       "...      ...  ...                 ...    ...               ...            ...   \n",
+       "4405  Female  ...                 3.0      Y                17              8   \n",
+       "4406    Male  ...                 2.0      Y                15              8   \n",
+       "4407    Male  ...                 0.0      Y                20              8   \n",
+       "4408    Male  ...                 0.0      Y                14              8   \n",
+       "4409    Male  ...                 0.0      Y                12              8   \n",
+       "\n",
+       "      StockOptionLevel TotalWorkingYears  TrainingTimesLastYear  \\\n",
+       "0                    0               1.0                      6   \n",
+       "1                    1               6.0                      3   \n",
+       "2                    3               5.0                      2   \n",
+       "3                    3              13.0                      5   \n",
+       "4                    2               9.0                      2   \n",
+       "...                ...               ...                    ...   \n",
+       "4405                 1              10.0                      5   \n",
+       "4406                 0              10.0                      2   \n",
+       "4407                 0               5.0                      4   \n",
+       "4408                 1              10.0                      2   \n",
+       "4409                 0               NaN                      6   \n",
+       "\n",
+       "      YearsAtCompany  YearsSinceLastPromotion  YearsWithCurrManager  \n",
+       "0                  1                        0                     0  \n",
+       "1                  5                        1                     4  \n",
+       "2                  5                        0                     3  \n",
+       "3                  8                        7                     5  \n",
+       "4                  6                        0                     4  \n",
+       "...              ...                      ...                   ...  \n",
+       "4405               3                        0                     2  \n",
+       "4406               3                        0                     2  \n",
+       "4407               4                        1                     2  \n",
+       "4408               9                        7                     8  \n",
+       "4409              21                        3                     9  \n",
+       "\n",
+       "[4410 rows x 24 columns]>"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.info"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "No     3699\n",
+       "Yes     711\n",
+       "Name: Attrition, dtype: int64"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.Attrition.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Age</th>\n",
+       "      <th>Attrition</th>\n",
+       "      <th>BusinessTravel</th>\n",
+       "      <th>Department</th>\n",
+       "      <th>DistanceFromHome</th>\n",
+       "      <th>Education</th>\n",
+       "      <th>EducationField</th>\n",
+       "      <th>EmployeeCount</th>\n",
+       "      <th>EmployeeID</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>...</th>\n",
+       "      <th>NumCompaniesWorked</th>\n",
+       "      <th>Over18</th>\n",
+       "      <th>PercentSalaryHike</th>\n",
+       "      <th>StandardHours</th>\n",
+       "      <th>StockOptionLevel</th>\n",
+       "      <th>TotalWorkingYears</th>\n",
+       "      <th>TrainingTimesLastYear</th>\n",
+       "      <th>YearsAtCompany</th>\n",
+       "      <th>YearsSinceLastPromotion</th>\n",
+       "      <th>YearsWithCurrManager</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>51</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>31</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>23</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>32</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>17</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>15</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>38</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>8</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>32</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 24 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Age  Attrition  BusinessTravel  Department  DistanceFromHome  Education  \\\n",
+       "0   51          0               2           2                 6          2   \n",
+       "1   31          1               1           1                10          1   \n",
+       "2   32          0               1           1                17          4   \n",
+       "3   38          0               0           1                 2          5   \n",
+       "4   32          0               2           1                10          1   \n",
+       "\n",
+       "   EducationField  EmployeeCount  EmployeeID  Gender  ...  NumCompaniesWorked  \\\n",
+       "0               1              1           1       0  ...                 1.0   \n",
+       "1               1              1           2       0  ...                 0.0   \n",
+       "2               4              1           3       1  ...                 1.0   \n",
+       "3               1              1           4       1  ...                 3.0   \n",
+       "4               3              1           5       1  ...                 4.0   \n",
+       "\n",
+       "   Over18  PercentSalaryHike  StandardHours  StockOptionLevel  \\\n",
+       "0       0                 11              8                 0   \n",
+       "1       0                 23              8                 1   \n",
+       "2       0                 15              8                 3   \n",
+       "3       0                 11              8                 3   \n",
+       "4       0                 12              8                 2   \n",
+       "\n",
+       "   TotalWorkingYears  TrainingTimesLastYear  YearsAtCompany  \\\n",
+       "0                1.0                      6               1   \n",
+       "1                6.0                      3               5   \n",
+       "2                5.0                      2               5   \n",
+       "3               13.0                      5               8   \n",
+       "4                9.0                      2               6   \n",
+       "\n",
+       "   YearsSinceLastPromotion  YearsWithCurrManager  \n",
+       "0                        0                     0  \n",
+       "1                        1                     4  \n",
+       "2                        0                     3  \n",
+       "3                        7                     5  \n",
+       "4                        0                     4  \n",
+       "\n",
+       "[5 rows x 24 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "maps={}\n",
+    "for col in df:\n",
+    "    dtype=df[col].dtype\n",
+    "    if dtype==\"object\":\n",
+    "        unique=df[col].unique()\n",
+    "        le = LabelEncoder()\n",
+    "        le = le.fit(unique)\n",
+    "        maps[col]=le\n",
+    "        df[col]=le.transform(df[col])\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    3699\n",
+       "1     711\n",
+       "Name: Attrition, dtype: int64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.Attrition.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 2000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(20,10))\n",
+    "sns.heatmap(df.corr(),annot=True)\n",
+    "#相关性"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Age</th>\n",
+       "      <th>Attrition</th>\n",
+       "      <th>BusinessTravel</th>\n",
+       "      <th>Department</th>\n",
+       "      <th>DistanceFromHome</th>\n",
+       "      <th>Education</th>\n",
+       "      <th>EducationField</th>\n",
+       "      <th>EmployeeCount</th>\n",
+       "      <th>EmployeeID</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>...</th>\n",
+       "      <th>NumCompaniesWorked</th>\n",
+       "      <th>Over18</th>\n",
+       "      <th>PercentSalaryHike</th>\n",
+       "      <th>StandardHours</th>\n",
+       "      <th>StockOptionLevel</th>\n",
+       "      <th>TotalWorkingYears</th>\n",
+       "      <th>TrainingTimesLastYear</th>\n",
+       "      <th>YearsAtCompany</th>\n",
+       "      <th>YearsSinceLastPromotion</th>\n",
+       "      <th>YearsWithCurrManager</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Age</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.159205</td>\n",
+       "      <td>0.024751</td>\n",
+       "      <td>-0.010846</td>\n",
+       "      <td>0.006963</td>\n",
+       "      <td>-0.035706</td>\n",
+       "      <td>0.043194</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.008649</td>\n",
+       "      <td>-0.039352</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.299243</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-0.033137</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-0.031753</td>\n",
+       "      <td>0.680661</td>\n",
+       "      <td>-0.027308</td>\n",
+       "      <td>0.311309</td>\n",
+       "      <td>0.216513</td>\n",
+       "      <td>0.202089</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Attrition</th>\n",
+       "      <td>-0.159205</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000074</td>\n",
+       "      <td>-0.048206</td>\n",
+       "      <td>-0.009730</td>\n",
+       "      <td>-0.015111</td>\n",
+       "      <td>-0.057940</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-0.004729</td>\n",
+       "      <td>0.018125</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.042345</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.032533</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-0.006839</td>\n",
+       "      <td>-0.170338</td>\n",
+       "      <td>-0.049431</td>\n",
+       "      <td>-0.134392</td>\n",
+       "      <td>-0.033019</td>\n",
+       "      <td>-0.156199</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>BusinessTravel</th>\n",
+       "      <td>0.024751</td>\n",
+       "      <td>0.000074</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.010982</td>\n",
+       "      <td>0.024616</td>\n",
+       "      <td>0.002755</td>\n",
+       "      <td>-0.015462</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-0.002590</td>\n",
+       "      <td>-0.039243</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.022401</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-0.031054</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.003683</td>\n",
+       "      <td>0.033997</td>\n",
+       "      <td>-0.041888</td>\n",
+       "      <td>-0.014575</td>\n",
+       "      <td>-0.032591</td>\n",
+       "      <td>-0.022636</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Department</th>\n",
+       "      <td>-0.010846</td>\n",
+       "      <td>-0.048206</td>\n",
+       "      <td>-0.010982</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.012134</td>\n",
+       "      <td>-0.004597</td>\n",
+       "      <td>0.013720</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-0.003455</td>\n",
+       "      <td>0.003158</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.003954</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-0.007840</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.010512</td>\n",
+       "      <td>-0.019839</td>\n",
+       "      <td>0.012866</td>\n",
+       "      <td>0.010078</td>\n",
+       "      <td>0.014845</td>\n",
+       "      <td>0.018016</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>DistanceFromHome</th>\n",
+       "      <td>0.006963</td>\n",
+       "      <td>-0.009730</td>\n",
+       "      <td>0.024616</td>\n",
+       "      <td>0.012134</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.008638</td>\n",
+       "      <td>-0.024665</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-0.001097</td>\n",
+       "      <td>-0.044173</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-0.013843</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.038125</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.011169</td>\n",
+       "      <td>0.009374</td>\n",
+       "      <td>-0.009001</td>\n",
+       "      <td>0.031684</td>\n",
+       "      <td>0.002290</td>\n",
+       "      <td>0.021584</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 24 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       Age  Attrition  BusinessTravel  Department  \\\n",
+       "Age               1.000000  -0.159205        0.024751   -0.010846   \n",
+       "Attrition        -0.159205   1.000000        0.000074   -0.048206   \n",
+       "BusinessTravel    0.024751   0.000074        1.000000   -0.010982   \n",
+       "Department       -0.010846  -0.048206       -0.010982    1.000000   \n",
+       "DistanceFromHome  0.006963  -0.009730        0.024616    0.012134   \n",
+       "\n",
+       "                  DistanceFromHome  Education  EducationField  EmployeeCount  \\\n",
+       "Age                       0.006963  -0.035706        0.043194            NaN   \n",
+       "Attrition                -0.009730  -0.015111       -0.057940            NaN   \n",
+       "BusinessTravel            0.024616   0.002755       -0.015462            NaN   \n",
+       "Department                0.012134  -0.004597        0.013720            NaN   \n",
+       "DistanceFromHome          1.000000  -0.008638       -0.024665            NaN   \n",
+       "\n",
+       "                  EmployeeID    Gender  ...  NumCompaniesWorked  Over18  \\\n",
+       "Age                 0.008649 -0.039352  ...            0.299243     NaN   \n",
+       "Attrition          -0.004729  0.018125  ...            0.042345     NaN   \n",
+       "BusinessTravel     -0.002590 -0.039243  ...            0.022401     NaN   \n",
+       "Department         -0.003455  0.003158  ...           -0.003954     NaN   \n",
+       "DistanceFromHome   -0.001097 -0.044173  ...           -0.013843     NaN   \n",
+       "\n",
+       "                  PercentSalaryHike  StandardHours  StockOptionLevel  \\\n",
+       "Age                       -0.033137            NaN         -0.031753   \n",
+       "Attrition                  0.032533            NaN         -0.006839   \n",
+       "BusinessTravel            -0.031054            NaN          0.003683   \n",
+       "Department                -0.007840            NaN          0.010512   \n",
+       "DistanceFromHome           0.038125            NaN          0.011169   \n",
+       "\n",
+       "                  TotalWorkingYears  TrainingTimesLastYear  YearsAtCompany  \\\n",
+       "Age                        0.680661              -0.027308        0.311309   \n",
+       "Attrition                 -0.170338              -0.049431       -0.134392   \n",
+       "BusinessTravel             0.033997              -0.041888       -0.014575   \n",
+       "Department                -0.019839               0.012866        0.010078   \n",
+       "DistanceFromHome           0.009374              -0.009001        0.031684   \n",
+       "\n",
+       "                  YearsSinceLastPromotion  YearsWithCurrManager  \n",
+       "Age                              0.216513              0.202089  \n",
+       "Attrition                       -0.033019             -0.156199  \n",
+       "BusinessTravel                  -0.032591             -0.022636  \n",
+       "Department                       0.014845              0.018016  \n",
+       "DistanceFromHome                 0.002290              0.021584  \n",
+       "\n",
+       "[5 rows x 24 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "corr = df.corr()\n",
+    "corr.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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kCxcubHS7X/va1+ot9+7dO1tttVXuu+++Ze7jN7/5TUqlUo477rh6z1/Hjh2z6667Vt6/tt1222y++eb59re/nSuvvHKFM9zgk8CN0QEAAIC1om3btvWWq6qqknx4U/EklcutLB1QfNTcuXOX+WXua6+9li233HK5Nbzxxhvp2LFjg3tRtG/fPs2aNcsbb7xRr31Zl5lqbN2S+pfch2JpH/1CfGlvvfVW9tlnn7Ro0SL/+Z//me233z6tWrXKyy+/nCOPPLLyHDXVG2+80eDeCknSuXPnyvqPWtFrtLz9NPZcLWs/K+ORRx5JTU1N+vbtm6uvvjqf/exns9FGG+WOO+7ID37wg1V+Tj6qVatWad269Wpv56OWHOuyno8PPvgg8+bNq3cT7lV93g844IBcd911+fOf/5x77rknPXv2TPv27bPffvvlnnvuycCBAzNlypScc845q3VMS9e3pMaVOS+aNWuWz3zmM/XaS6VSOnbs2KTz4uN4/1jez/dHtWnTJocddliuv/76XHDBBdlwww0zfvz47LHHHvmXf/mXSr/hw4fn8ssvz7e//e306dMnm2++eTbYYIOccsopjT5XK7v/gQMH5n//93/zve99L1/4whfSunXrlEqlHHzwwY1ut2PHjo22Le/5fvXVV1Mul9OhQ4dG12+99dZJkurq6jzwwAP5wQ9+kO985zuZN29eOnXqlCFDhuS73/1umjdvvlLHBGuTEAQAAAD4RGjXrl2S5Gc/+1n22muvRvss6wu6JPnMZz6zwhvztm3bNg8//HDK5XK9IGTOnDl57733KjUssbwbdy+9bsnYW2+9NVtttdVy61javffem1deeSX3339/ZfZHkhVew39F2rZtW7kfyke98sorSdLgeD9J+/nlL3+Z5s2b5ze/+U1atGhRab/jjjtWuc6lrejG7KtiyZf1y3o+Nthgg2XOLmqqJTdyv+eeezJ58uQceOCBlfbvfve7+cMf/pBFixYtd3bUx6lt27Z577338tprr9ULQsrlcmpra5cZGK6KVXn/aMrrf+KJJ+a///u/M3ny5Gy55ZZ59NFHc8UVV9Trc+ONN+b444+v3GNliddffz2bbbZZg22uzP7r6urym9/8Jueee25GjBhRaV+0aFHmzp3b6Jja2tpG27bddttl7qddu3YplUp58MEHKwHTR320beedd84vf/nLlMvlPPXUUxk/fnzOP//8tGzZsl6N8EnhclgAAADAJ8Lee++dzTbbLM8991x23333Rh8bbbTRMsf3798/f/rTnxpc4umj9t9//7z11lsNvki//vrrK+tXVb9+/dKsWbP89a9/XWb9y7Lky9Clv3y86qqrGvRd2VkCyYfH89xzz+Xxxx+v13799denVCpl3333XeE2Vsb+++9fCXKW3k+rVq2W+aX08pRKpTRr1qze5bneeeed3HDDDQ36LmtWQlOeqxVZmZkPSdK9e/dsscUWufnmm1MulyvtCxcuzG233ZZevXrVmwWyOjp16pQdd9wxt912Wx577LFKCHLggQfmtddey6WXXprWrVuvMGxYk8/TRy35eVr6Buq33XZbFi5cWO/nbWWf32VZ3fePFampqckWW2yRa6+9Ntdee21atGiRr371q/X6lEqlBj/Dv/3tb/OPf/xjlfdbKpVSLpcbbPcXv/hFvZvCf9RNN91Ub3nKlCn529/+lr59+y5zP4ccckjK5XL+8Y9/NPrc7bzzzo3Wtuuuu+bHP/5xNttsswbvM/BJYSYIAAAA8ImwySab5Gc/+1lOOOGEzJ07N0cffXTat2+f1157LU8++WRee+21Bn95/VHDhg3LhAkTcvjhh2fEiBHZY4898s477+SBBx7IIYcckn333TfHH398Lr/88pxwwgl56aWXsvPOO+ehhx7KhRdemIMPPni1/mK+a9euOf/883POOefkhRdeyEEHHZTNN988r776ah555JFsvPHGOe+88xod27t372y++eY57bTTcu6556Z58+a56aab8uSTTzbou+TLyIsvvjj9+/fPhhtumF122aXRL3jPOuusXH/99RkwYEDOP//8bLXVVvntb3+bsWPH5t///d+z/fbbr/LxftS5556b3/zmN9l3333z/e9/P23atMlNN92U3/72t7nkkktSXV3d5G0OGDAgl156aQYOHJh/+7d/yxtvvJEf/vCHjf6V+pK/TJ8wYUK23nrrtGjRIjvvvHO22WabtGzZMjfddFN69OiRTTbZJJ07d65cpqspdt5559x///359a9/nU6dOmXTTTdN9+7dG/TbYIMNcskll+RrX/taDjnkkJx66qlZtGhR/uu//itvvvlmLrrooibve3n233///OxnP0vLli2z9957J0m6deuWbt265e67785hhx2WZs2W/xXgTjvtlCT5+c9/nk033TQtWrRIt27dGr0MVlMceOCB6devX7797W9n/vz52XvvvfPUU0/l3HPPTc+ePTNo0KBK32W9hitrdd8/VmTDDTfM8ccfXwmWjjzyyAbn9SGHHJLx48dnhx12yC677JLHHnss//Vf/5XPfvazq7zf1q1b50tf+lL+67/+K+3atUvXrl3zwAMPZNy4cY3OLkmS6dOn55RTTsmXv/zlvPzyyznnnHOyxRZbZOjQocvcz957751/+7d/y4knnpjp06fnS1/6UjbeeOPMnj07Dz30UHbeeef8+7//e37zm99k7NixOeKII7L11lunXC7n9ttvz5tvvlkJ4eCTxkwQAAAA4BPjuOOOy3333Ze33norp556ag444ID8x3/8Rx5//PEVztLYdNNN89BDD+Xkk0/Oz3/+8wwYMCBDhgzJzJkzK196t2jRIvfdd1++9rWv5b/+67/Sv3//jB8/Pt/85jdz++23r3b9I0eOzK233po//elPOeGEE9KvX7+cffbZ+dvf/pYvfelLyxzXtm3b/Pa3v02rVq1y3HHH5aSTTsomm2ySCRMmNOg7cODAnHLKKRk7dmx69eqVL3zhCw1mYCzxmc98JlOmTMl+++2XkSNH5pBDDsnvf//7XHLJJfnZz3622se7RPfu3TNlypR07949X//613PEEUfkmWeeybXXXptvfetbq7TN/fbbL9dcc02efvrpHHrooTnnnHNy9NFHN3q5nfPOOy99+vTJkCFDsscee+TQQw9N8uE9P6655pq88cYbqampyRe+8IX8/Oc/X6V6fvKTn2S77bbLsccemy984Qs59dRTl9l34MCBueOOO/LGG2/kmGOOyYknnpjWrVvnvvvuyxe/+MVV2v+yLAnuvvjFL9a7bNiS9pUJ9rp165YxY8bkySefTN++ffOFL3whv/71r1e7tlKplDvuuCPDhw/Ptddem4MPPjg//OEPM2jQoNx77731Aq1lvYZNsTrvHyvjxBNPzKJFi/Laa6/VuyH6Ej/5yU9y3HHHZfTo0Tn00ENz55135vbbb88222yzWvu9+eabs+++++bss8/OkUcemenTp2fy5MnLDBfHjRuXxYsX59hjj82ZZ56Z3XffPffff3/atGmz3P1cddVVueyyy/KHP/whxx57bAYMGJDvf//7WbhwYfbYY48kyXbbbZfNNtssl1xySQ477LB8+ctfzuOPP57x48dnyJAhq3Wc8HEplT86Lw8AAAAAAKAgzAQBAAAAAAAKSQgCAAAAAAAUkhAEAAAAAAAoJCEIAABAE4wdOzbdunVLixYtsttuu+XBBx9cbv8HHnggu+22W1q0aJGtt946V155ZYM+t912W3bcccdUVVVlxx13zMSJEz+u8gEAYL0iBAEAAFhJEyZMyLBhw3LOOefkiSeeyD777JP+/ftn1qxZjfZ/8cUXc/DBB2efffbJE088ke985zs588wzc9ttt1X6TJ06Ncccc0wGDRqUJ598MoMGDcpXvvKVPPzww2vrsAAAoLBK5XK5vK6LAAAA+DTYc8898/nPfz5XXHFFpa1Hjx454ogjMnr06Ab9v/3tb+fOO+/M888/X2k77bTT8uSTT2bq1KlJkmOOOSbz58/P7373u0qfgw46KJtvvnluueWWj/FoAACg+Jqt6wJWxgcffJBXXnklm266aUql0rouBwAAPlblcjkLFixI586ds8EGJm9/UixevDiPPfZYRowYUa+9pqYmU6ZMaXTM1KlTU1NTU6+tX79+GTduXN599900b948U6dOzVlnndWgz5gxY5ZZy6JFi7Jo0aLK8gcffJC5c+embdu2PjMBALBeWNnPTZ+KEOSVV15Jly5d1nUZAACwVr388sv57Gc/u67L4P/3+uuv5/3330+HDh3qtXfo0CG1tbWNjqmtrW20/3vvvZfXX389nTp1WmafZW0zSUaPHp3zzjtvFY8EAACKY0Wfmz4VIcimm26a5MODad269TquBgAAPl7z589Ply5dKr8H88my9EyLcrm83NkXjfVfur2p2xw5cmSGDx9eWa6rq8uWW265Tj8z7XTu79fJfmm6Z87rt9b25bz49Fhb54Vz4tPDewVLc07QmLV5XixtZT83fSpCkCW//Ldu3VoIAgDAesNljT5Z2rVrlw033LDBDI05c+Y0mMmxRMeOHRvt36xZs7Rt23a5fZa1zSSpqqpKVVVVg/Z1+Zlpg6pW62S/NN3aPEecF58ea+u8cE58enivYGnOCRrzSfi+fkWfm1xgGAAAYCVstNFG2W233TJ58uR67ZMnT07v3r0bHdOrV68G/e++++7svvvuad68+XL7LGubAADAyvtUzAQBAAD4JBg+fHgGDRqU3XffPb169crPf/7zzJo1K6eddlqSDy9T9Y9//CPXX399kuS0007LZZddluHDh2fIkCGZOnVqxo0bl1tuuaWyzf/4j//Il770pVx88cU5/PDD8z//8z+555578tBDD62TYwQAgCIRggAAAKykY445Jm+88UbOP//8zJ49OzvttFPuuuuubLXVVkmS2bNnZ9asWZX+3bp1y1133ZWzzjorl19+eTp37py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\n",
+      "text/plain": [
+       "<Figure size 2000x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\lenovo\\AppData\\Local\\Temp\\ipykernel_53196\\894744277.py:16: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
+      "  show=show.iloc[1:11].append(show.iloc[-last_index:])\n",
+      "C:\\Users\\lenovo\\AppData\\Local\\Temp\\ipykernel_53196\\894744277.py:17: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
+      "  show=show.iloc[0:5].append(show.iloc[-5:])\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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++mpq3bp1Ouuss6pcL+eee25q1KhR/rf83//+99SqVat09tln5+uccMIJqV27dmny5Mnp1VdfTd/97ndT48aNK5zXWdUVV1yRmjdvniZMmJDq1auXHnvssUy/J7Ku86KionTZZZelmTNnppkzZ672nAyVE6zwtXj22WfLHWSs6vLLL08RkT788MOUUko77rhjOv/88/PjR44cmXbbbbf8cNu2bSt8uC+44ILUvXv3lNL/HZCNGTMmcx/XJlg56qij8sOlpaUpItIvf/nLfFnZyfbS0tKUUkpDhw5NJ554Yrl2n3766VSrVq302WefZe7jt1HZep87d24qKChI7777bpo1a1YqLCxMc+fOrfADclVlX96vvvpqSqnq976yL7+qTnyv7M4770zNmjVbbZ2zzz471alTJzVt2jTtt99+6dJLL01z5szJj896gFXVsqz8wyKlNQcrd999dyoqKip3gu3rtLqTi0cccUTq1KlTfnjl/cKPf/zjtM8++1QaUK1ad3U6d+6c/vCHP+SHV/3MrlixIrVo0SJdc801KaWUrr322tS4ceP8QciqevXqVeFH4M0335xat25dZR/OPffcVKtWrdSwYcP8q2wfdswxx6SWLVumpUuX5utfd911qUmTJmnx4sX5soceeijVqlUrvy0dc8wxqV27dvkfyiml1LFjx9SrV6/88PLly1PDhg3TbbfdVmXfjjnmmFS7du1yfWvYsGEqLCwst50OGTIk9evXr9y0P//5z1Pnzp3zw/aHXynb5hcvXpzq1q2bbrnllvy4L774IrVp0yZdeumlKaX/2x/cfvvt+Trz5s1L9evXT3fccUeV82jXrl2qV69eatiwYapbt26KiFRYWJj+8Y9/pJRSeuutt1JE5IdTSunjjz9O9evXT3feeWdKqeJ+cF22baqWZd/32GOPpaKiovT555+XG7/VVlula6+9NqX01f6jdu3a6f3338+Pf+SRR1KtWrXyn6NVLV++PDVu3Dg9+OCD+bKISKeffnq5elV9H/Xu3Tvtueee5dpr2LBhGjp0aL6s7PM9derUlFJKv/zlL1P//v3LtfP++++X+0eYVdtNKaXddtstf4KprJ9Z9u1seD169MgfLy1btiw1b948TZo0KaWU0plnnpl22GGHcvVHjRpVbvv5Nu7Pa9raHBevzXfO5MmT83UeeuihFBH596iqY+KIyJ+cKptfLpdLjzzySLm2y7aH5557LtWuXTv/z2xz585NdevWzZ9wXN3yllnTPuPRRx9NtWrVyu9jVvVNP3b58MMP06abbppq1aqV7rnnnkz72VVl/W3UpUuXtfpHijX9Jl71+HpVzz33XIqIdM8996x2PmsTrNx3330V+vid73ynXNnX/V1VdnzWsGHDVLt27RQRqWnTpmnmzJkppZQmTpyYateuXe6foF5//fUUEen5559PKVX8TK7p3Mc3xdd1vFzVyfk1Hfd+8cUXqXnz5ummm27Kj//BD36QDj/88JTSV/vAwsLC/D/flTn++OPTD37wg3L9/rYGKz169EjDhw8vV+fwww8vF6qvz2/21QUrEydOTBGRPvjgg5RSSi1atEjPP/98evbZZ1ObNm1SSinNnj07RUR67LHH1mo7W3VfUvYZnDJlSmratGm67LLLVrtezj333NSgQYNy519+/vOfp9133z2llNLChQtT3bp101//+tf8+Pnz56cGDRqsMVhZsWJF6tOnT6pVq1a+bpbfE5WpbJ0fcsgh5eqs6ZwMFbkVGP8T0v9/+G4ul4uIiCOPPDJuueWW/LjbbrstjjzyyIiImDt3brz//vtx/PHHR6NGjfKvX//61+Uue46I2HXXXaulvzvuuGP+75YtW0ZERJcuXSqUffTRRxER8eKLL8b48ePL9XfAgAGxYsWKePfdd6ulj980zZs3j4EDB8aNN94Y48aNi4EDB0bz5s0r1Hv77bdjyJAhseWWW0ZRUVH+dlmr3hd8Xd/7J554Ivr16xebbbZZNG7cOI4++uiYN2/eai/1/81vfhNz5syJsWPHRufOnWPs2LGx3XbbrfFS5azLsrb69esX7dq1iy233DKGDh0at9xyy//M815SSvnP+aqGDRsWJSUl0bFjxzjttNMyPXBuyZIl8Ytf/CI6d+4cm2yySTRq1Cj++c9/VliHK39myy5nLvt8lpSURNeuXaNp06aVzuPFF1+M888/v9znd/jw4VFaWrra9dqxY8coKSnJv+6+++78uC5dukS9evXyw2+++WbstNNO0bBhw3xZz549Y8WKFfnbdUR89dyWWrX+76u7ZcuW5fY9tWvXjmbNmuWXrSp77713ub6VlJTEn//853J13nzzzQr3pu3Zs2fMnDkzvvzyy3yZ/eH/efvtt2PZsmXl1lvdunWjW7du8eabb5ar27179/zfTZs2jY4dO1aos6qf//znUVJSEk899VTsvffeMWrUqOjRo0dEfPV+1alTJ3bfffd8/WbNmq223XXdtll7Zfu+F198MRYvXhzNmjUrt97ffffdcscwW2yxRWy++eb54e7du5fbH3z00Udx0kknxbbbbhvFxcVRXFwcixcvXq/vwpU/y2X7kjV9lp944olyy7HddttFRJRblpXbjYho3br1GvdRVL8ZM2bE888/n7/tSZ06deKII47I305yxowZsdtuu5Wbplu3buWGv83785qW5bh4bb5zVv4ctm7dOiIi0+dw5ekaNmwYjRs3rnK6bt26xfbbbx833XRTRETcfPPNscUWW1T6fLms8yzr78rHbJtvvnn+Nqqr+qYfu7Ro0SJOPPHE6NSpU3z3u9/NtJ9d199Gp512Wvz617+Onj17xrnnnhuvvPLKWvd3dcfXq1r19/6GUNl33KplNfFddcUVV0RJSUlMmjQpvvOd78QVV1wRW2+9dUR8tY22bdu23AO3y37HVHa8tjbnPr4pqvt4uSprOu6tW7duHH744fnzUEuWLIn7778/fx7qjTfeiM8//zz69etXro2bbrrpG/terK2q9rFrek+y/mZfnZ49e0a9evXiySefjDfeeCM+++yz2HnnnWOXXXaJhQsXxsyZM+OJJ56IgoKC6NGjx1ptZ5XtS2bPnh19+/aNc845J84444w19q99+/blns288j7knXfeiWXLlpU7jiouLo6OHTuusd1cLhejRo2KFStWxDnnnBMRken3RNZ1vuqyr8s5mY1dnZruABuHrbfeOnK5XLzxxhtxyCGHVBj/z3/+M5o0aZL/wTBkyJA466yz4qWXXorPPvss3n///fwPvxUrVkRExJ/+9KdyJ5AivjoRsLKVT1JuSHXr1s3/XXZwWFlZWV9XrFgRP/zhD+O0006r0JaHUP6f4447Lk499dSIiLjqqqsqrXPggQdG27Zt409/+lO0adMmVqxYETvssEOFB22ty3v/3nvvxQEHHBAnnXRSXHDBBdG0adN45pln4vjjj1/jQx6bNWsWhx9+eBx++OFx0f9r796jer7/AI4/s6Tcc434yYqtpKOSI5sa+/JNh8MURkXC2BrNksvZ1nJbTGVaks3d6QjLcal0GZnQXJYc9KVMzX0zfTkHO7bK749O3/mqvn37Jpf2epzTcXwvn8/78/l+Pu/36339hIfj6OhIREQEmzdvrvY7+h7L0xo1aqSpnFR4Mn0tWrQgJyeHQ4cOkZ6eTmhoKGFhYZw8eVJrLdAXQaVSaSp8T3NycqKwsJD9+/fz448/MnbsWBQKhc51a0NCQkhLSyMiIgIbGxvMzMzw9vaudA6fvD+h/B6tuD/NzMx0prmsrIyFCxcyevToSu+ZmppW+z0TExNNJeppT1+fujqcnny9quPQdWzVadasWaW0Xbt2rcY0PX3dPZ2m/3p+WF2jga7f90k1faZdu3bY2NhgY2NDYmIiNjY29O/fH4VCUeVvU9O+Db22Re1V5H1lZWV06tRJay3oCrry54rfsOJff39/bt++zTfffEO3bt1o0qQJrq6udSoLa8pfqrqXR4wYwfLlyyttq6Lhtrrt1pRHifq3fv16SkpKsLS01Lz2+PFjGjdujFqt1qsMaMj5+cugpri4NmWOrntZl9rev1OnTiUmJob58+ezceNGJk+eXOuG9LrEbA0hdjE2NsbY2Fiz35ryWUPrRlOnTkWpVJKcnEx6ejrh4eFERkYyc+ZMvdNam+ujR48eGBkZoVKpqmwPqFAxgOjJ3626elhVZdzTr72IssrCwkITr+3cuRNHR0f69u2LnZ1dtXFZda/Xpu3jVVHf8XJ19Il7fXx8cHd3548//iAjIwNTU1OGDRum+T5AcnKyVtkJ5c/Y+68w5HfTt86uS9OmTenXrx+ZmZkUFxfz9ttva+6BAQMGkJmZSXZ2Nq6urpiamtbqOqsqL2nfvj2dO3cmISGBKVOm0LJlS53p05WH6EqLPirKhCfLhprqE/qe86eP3ZA2mf866VgRz0Xbtm0ZMmQIsbGxzJ49WysovnXrFvHx8UycOFGT0XTp0gU3Nzfi4+P566+/UCgUmpFDHTt2xNLSksuXL2tGD7zsnJycOH/+fLWNrKKch4eHJqNXKpWV3r9z5w4qlYq1a9cycOBAAI4cOWLQvkxMTLRGrgGcOnWKkpISIiMjNUH9jh07DNq2tbW1ZpZLxcyEJ/enz7FU9T0oL+Rv3ryp+X9paSnnzp3TPJQYygtdhUKBQqHgyy+/pHXr1hw8eLDKQPJ5OXjwIGfPnmX27NnVfqZly5aMGzeOcePG4e3tjYeHB8XFxbRp04bGjRtXOhdZWVn4+/vz3nvvAXD//n2KiopqlS4HBwfWrVun2c/TnJycuHjxYr3ev3Z2dmzevJkHDx5ogpujR4/SqFGjakdl1jc7O7tK1+SxY8fo2bNnnSpyDTk/tLGxwcTEhCNHjjBhwgSgvDHg1KlTlR5M+PPPP2saY9RqNfn5+ZoRlPowNzdn5syZzJkzh9OnT2NnZ0dJSQnHjx/XzGK5c+cO+fn52NraVrmN53FtC+28r0uXLty6dQtjY2OdD7+9cuUKN27coHPnzgBkZ2dr5QdZWVnExsbi6ekJwNWrV7UexFud6soVQzg5OZGYmIiVlZWmomeIqvJ2Ub9KSkrYsmULkZGRDB06VOs9Ly8v4uPjefPNNys9yPrph3k35Pz8ZVBTXFybMkeXqmJiQ/n6+jJ37lyio6M5f/48kyZNeibbreDg4MC1a9fIz8+vMj5qaLFLTflsXetGXbt2ZcaMGcyYMYMFCxbw/fff16pjpTbatGmDUqlk9erVzJo1q1Jj3t27d2ndujXt27cH4ObNmzg6OgJoPci+tl50WWVjY4OXlxcLFixgz5492NnZceXKFa5evaqZtZKXl8e9e/eqjNdexbaPmjzPePlJ+sS9AwYMoGvXrmzfvp39+/czZswYTexkZ2dHkyZNuHLlCu7u7gal4VVna2vLkSNHmDhxoua1Y8eOaV279VVnh/JVFxISElCr1bzzzjua193d3Tl06BDZ2dlMnjwZqHsZaWZmRlJSEp6eniiVStLT07VmpNSGtbU1jRs35sSJE5r7vmKWjSHXkpOTU431ibqcc11tMqIyWQpMPDcxMTE8evQIpVLJ4cOHuXr1KqmpqZpll5YuXar1eR8fHxISEti5cye+vr5a74WFhREeHs6qVavIz8/n7NmzbNy4kaioqOd5SHqbN28e2dnZBAYGkpubS0FBAXv37q23wPVV9dprr6FSqVCpVFVWfszNzWnbti3fffcdly5d4uDBg3z66acG7cvKyorCwkJyc3P5888/efToEdbW1pSUlPDtt99y+fJltm7dSlxcnM7tJCUl4evrS1JSEvn5+Vy8eJGIiAhSUlIYOXIkAN26dcPIyIikpCRu377N/fv39TqWDh06YGZmRmpqKr///jv37t0DYPDgwSQnJ5OcnMyFCxf46KOPuHv3rlaaoqOjyc3N5bfffmPLli2UlZXpNdX0WXn06BG3bt3i+vXr5OTk8NVXXzFy5EiGDx+uFYg9aeXKlSQkJHDhwgXy8/PZuXMnFhYWmlEXVlZWHDhwgFu3bqFWq4HygGnXrl3k5uZy5swZJkyYUOvRZePHj8fCwoJRo0Zx9OhRLl++TGJiItnZ2QCEhoayZcsWwsLCOH/+PCqViu3bt2um4j4LPj4+mJqaMmnSJM6dO0dmZiYzZ87Ez89P06n8vAUHB3PgwAEWL15Mfn4+mzdvJiYmRq+p0Lo05PywWbNmfPjhh4SEhJCamkpeXh7Tpk3j4cOHTJkyReuzixYt4sCBA5w7dw5/f3/atWuncwRnVQIDA7l48SKJiYn06NGDkSNHMm3aNI4cOcKZM2fw9fXF0tJSkxc97Xlc2/81NeV9CoUCV1dXRo0aRVpaGkVFRRw7dozPP/9cq9G6Ij84c+YMWVlZzJo1i7Fjx2JhYQGU531bt25FpVJx/PhxfHx8ahzJDVWXR4YKDAykuLiY8ePHc+LECS5fvkx6ejoBAQG1anyqKm8X9SspKQm1Ws2UKVOwt7fX+vP29mb9+vVMnz6dCxcuMG/ePPLz89mxYwebNm0C/h1x2ZDz85dBTXFxbcocXaqKiQ1lbm7O6NGjCQkJYejQoVpLGj4L7u7uuLm54eXlRUZGhmZUbWpqKtDwYpea8tm61I0++eQT0tLSKCwsJCcnh4MHD1Y7EONZiY2NpbS0lH79+pGYmEhBQQEqlYro6GjNkk9mZmb079+fZcuWkZeXx+HDh+sUl7wMZVVwcDD79u3j1KlTKBQKHBwc8PHxIScnhxMnTjBx4kTc3d2rXb7zVWv7qEl9x8vXr1+vtORxcXGxXnGvkZEREyZMIC4ujoyMDK12qBYtWjBnzhxmz57N5s2b+fXXXzl9+jSrV6/WuUpFQxISEsKmTZuIi4ujoKCAqKgodu3apZXH1ledHco7VgoKCkhNTdXqkHB3dycpKYmioiLNYNNnUUY2a9aM5ORkjI2NGTZsmMFxc4sWLZg0aRIhISFkZmZy/vx5AgICaNSokUEzsPSpTxh6zmtqkxGVSceKeG569OjBqVOnsLa2Zty4cVhbW/PBBx8waNAgsrOzK/V+jhkzhjt37vDw4cNKhefUqVNZt24dmzZtonfv3ri7u7Np06Zqlxh60RwcHPjpp58oKChg4MCBODo68sUXX2hNPxblWrZsWe00y0aNGpGQkMAvv/yCvb09s2fPZsWKFQbtx8vLCw8PDwYNGkT79u3Ztm0bffr0ISoqiuXLl2Nvb098fDzh4eE6t2NnZ0fTpk0JDg6mT58+9O/fnx07drBu3Tr8/PwAsLS0ZOHChcyfP5+OHTvy8ccf63UsxsbGREdHs3btWjp37qxpHA0ICGDSpEmaILx79+5as1Vat27Nrl27GDx4MLa2tsTFxbFt2zZ69epl0LkyRGpqKp06dcLKygoPDw8yMzOJjo5mz5491Y4YbN68OcuXL6dv3764uLhQVFRESkqKZvZQZGQkGRkZdO3aVTOCbeXKlZibmzNgwABGjBiBUqnEycmpVmk1MTEhPT2dDh064OnpSe/evVm2bJkmnUqlkqSkJDIyMnBxcaF///5ERUXRrVu3OpwhbU2bNiUtLY3i4mJcXFzw9vbm3XffJSYm5pnto7acnJzYsWMHCQkJ2NvbExoayqJFi/D396/TdhtiflhWVqYZBbls2TK8vLzw8/PDycmJS5cukZaWhrm5udZ3li1bRlBQEM7Ozty8eZO9e/dqPXdHH+3bt8fPz4+wsDDKysrYuHEjzs7ODB8+HFdXVx4/fkxKSkqlqekVnse1/V9TU95nZGRESkoKbm5uBAQE0LNnT95//32Kioq0OlFtbGwYPXo0np6eDB06FHt7e2JjYzXvb9iwAbVajaOjI35+fsyaNYsOHTrUmL6qyiNDde7cmaNHj1JaWopSqcTe3p6goCBatWql9SyomlSVt4v6tX79ehQKBa1atar0npeXF7m5uajVan744Qd27dqFg4MDa9as4bPPPgP+XfKkIebnLxtdcTHoX+boUlVMXBdTpkzh77//JiAgoE7bqU5iYiIuLi6MHz8eOzs75s6dq2kgb2ixS035bF3qRqWlpQQGBmJra4uHhwdvvPGGVjlTH7p3705OTg6DBg0iODgYe3t7hgwZwoEDB1izZo3mcxs2bOCff/6hb9++BAUFsWTJEoP3+TKUVb1790ahUBAaGoqRkRG7d+/G3NwcNzc3FAoFr7/+Otu3b6/2+69a20d1nle8HBERgaOjo9bf3r179Y57fXx8yMvLw9LSstLzRBYvXkxoaCjh4eHY2tqiVCrZt2/fK/dbGGrUqFGsWrWKFStW0KtXL9auXcvGjRu1Zo/UV50dyp+5UxGDODs7a153cXGhtLQUMzMzrSXznkUZ2bx5c/bv38/jx4/x9PTU+exdXaKionB1dWX48OEoFAreeustbG1tDVp+WZ/6hKHnvKY2GVGZ0WN9F3UTQgghhBCVeHh4YGNj80I7wkTDERYWxu7du+u09IkQ9WHp0qXExcVx9erVF50U8RKLj48nKCiIGzdu1HrAgBCi4ZJ4WYh/PXjwAEtLSyIjI2s1y1S8fOQZK0IIIYQQBlCr1Rw7doxDhw4xY8aMF50cIYR4pmJjY3FxcaFt27YcPXqUFStW1GmWk2jYHj58SGFhIeHh4UyfPl06VYQQgMTLQgCcPn2aCxcu0K9fP+7du8eiRYsAql2yWbw6pGNFCCGEEMIAAQEBnDx5kuDgYAmKhRANTkFBAUuWLKG4uJj//e9/BAcHs2DBghedLPGS+vrrr1m6dClubm5ynQghNCReFqJcREQEFy9exMTEBGdnZ7KysmjXrt2LTpaoI1kKTAghhBBCCCGEEEIIIYQQQk/y9BkhhBBCCCGEEEIIIYQQQgg9SceKEEIIIYQQQgghhBBCCCGEnqRjRQghhBBCCCGEEEIIIYQQQk/SsSKEEEIIIYQQQgghhBBCCKEn6VgRQgghhBBCCCGEEEIIIYTQk3SsCCGEEEIIIYQQQgghhBBC6Ek6VoQQQgghhBBCCCGEEEIIIfQkHStCCCGEEEIIIYQQQgghhBB6ko4VIYQQQgghhBBCCCGEEEIIPf0fUi3fYEE6iH0AAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 2000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "corr = corr.fillna(0)\n",
+    "show=corr[[\"Attrition\"]].sort_values(by=\"Attrition\",ascending=False)\n",
+    "# 根据热力图，绘制与Attrition相关性最高的前10个特征\n",
+    "plt.figure(figsize=(20,8))\n",
+    "plt.subplot(1,2,1)\n",
+    "plt.bar(show.index[:5],show.Attrition[:5])\n",
+    "plt.subplot(1,2,2)\n",
+    "plt.bar(show.index[-5:],show.Attrition[-5:])\n",
+    "plt.title(\"The correlation of attrition with other variables\")\n",
+    "plt.show()\n",
+    "last_index=len(show[show.Attrition<0])\n",
+    "show=show.iloc[1:11].append(show.iloc[-last_index:])\n",
+    "show=show.iloc[0:5].append(show.iloc[-5:])\n",
+    "index_name=[\"Over Time\",\"Marita Status\",\"Distance From Home\",\"Job Role\",\"Department\",\"Age\",\"Monthly Income\",\"Years In Current Role\",\"Job Level\",\"Total Working Years\"]\n",
+    "show.index=index_name\n",
+    "plt.figure(figsize=(20,8))\n",
+    "plt.bar(show.iloc[0:6].index,show.iloc[0:6].Attrition)\n",
+    "plt.bar(show.iloc[5:].index,show.iloc[5:].Attrition)\n",
+    "plt.title(\"The correlation of attrition with other variables\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "quit_df=df[df[\"Attrition\"]==1]\n",
+    "not_quit_df=df[df[\"Attrition\"]==0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1        6.0\n",
+       "6        5.0\n",
+       "13      10.0\n",
+       "28      19.0\n",
+       "30       5.0\n",
+       "        ... \n",
+       "4381     4.0\n",
+       "4386     8.0\n",
+       "4388    13.0\n",
+       "4391     4.0\n",
+       "4402    17.0\n",
+       "Name: TotalWorkingYears, Length: 711, dtype: float64"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "quit_df['TotalWorkingYears']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0        1.0\n",
+       "2        5.0\n",
+       "3       13.0\n",
+       "4        9.0\n",
+       "5       28.0\n",
+       "        ... \n",
+       "4405    10.0\n",
+       "4406    10.0\n",
+       "4407     5.0\n",
+       "4408    10.0\n",
+       "4409     NaN\n",
+       "Name: TotalWorkingYears, Length: 3699, dtype: float64"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "not_quit_df['TotalWorkingYears']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "quit_counts = quit_df.TotalWorkingYears.value_counts().sort_index()\n",
+    "not_quit_counts = not_quit_df.TotalWorkingYears.value_counts().sort_index()\n",
+    "\n",
+    "newdf = pd.DataFrame({\"quit\": quit_counts, \"not_quit\": not_quit_counts})\n",
+    "newdf[\"quit\"] /= newdf[\"quit\"].sum()\n",
+    "newdf[\"not_quit\"] /= newdf[\"not_quit\"].sum()\n",
+    "newdf.fillna(0, inplace=True)\n",
+    "\n",
+    "index = newdf.index\n",
+    "\n",
+    "plt.figure(figsize=(10, 8))\n",
+    "bar_width = 0.35\n",
+    "plt.bar(index, newdf[\"quit\"].values, bar_width, color='#0072BC', label=\"Attrition\")\n",
+    "plt.bar(index + bar_width, newdf[\"not_quit\"], bar_width, color='#ED1C24', label=\"Non-Attrition\")\n",
+    "\n",
+    "plt.xlabel('years')\n",
+    "plt.ylabel(\"People percentage\")\n",
+    "plt.xticks(index + bar_width, index, rotation=60)\n",
+    "plt.title(\"Attrition and Non-Attrition in TotalWorkingYears\")\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "quit_counts = quit_df.JobLevel.value_counts().sort_index()\n",
+    "not_quit_counts = not_quit_df.JobLevel.value_counts().sort_index()\n",
+    "\n",
+    "quit_level = quit_counts / quit_counts.sum()\n",
+    "not_quit_level = not_quit_counts / not_quit_counts.sum()\n",
+    "\n",
+    "index = quit_level.index\n",
+    "\n",
+    "plt.figure(figsize=(10, 8))\n",
+    "bar_width = 0.35\n",
+    "rects1 = plt.bar(index, quit_level.values, bar_width, color='#0072BC', label=\"Attrition\")\n",
+    "rects2 = plt.bar(index + bar_width, not_quit_level.values, bar_width, color='#ED1C24', label=\"Non-Attrition\")\n",
+    "\n",
+    "plt.xlabel('JobLevel')\n",
+    "plt.ylabel(\"People percentage\")\n",
+    "plt.xticks(index + bar_width, index, rotation=60)\n",
+    "plt.title(\"Attrition and Non-Attrition in JobLevel\")\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1600x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "quit_marital_status = quit_df['MaritalStatus'].value_counts()\n",
+    "not_quit_marital_status = not_quit_df['MaritalStatus'].value_counts()\n",
+    "plt.figure(figsize=(16, 6))\n",
+    "plt.subplot(121)\n",
+    "quit_marital_status.plot(kind=\"pie\",\n",
+    "                         autopct='%.1f%%',\n",
+    "                         title=\"Attrition\")\n",
+    "plt.subplot(122)\n",
+    "not_quit_marital_status.plot(kind=\"pie\",\n",
+    "                             autopct='%.1f%%',\n",
+    "                             title=\"Non-attrition\")\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/大众点评数据集分析/第七组/第七组实践代码/泰坦尼克号.ipynb b/大众点评数据集分析/第七组/第七组实践代码/泰坦尼克号.ipynb
new file mode 100644
index 0000000..94d4609
--- /dev/null
+++ b/大众点评数据集分析/第七组/第七组实践代码/泰坦尼克号.ipynb
@@ -0,0 +1,2788 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import itertools\n",
+    "from scipy import stats,integrate\n",
+    "plt.rcParams['font.sans-serif']=['SimHei']  #用来正常显示中文标签\n",
+    "plt.rcParams['axes.unicode_minus']=False   #用来正常显示负号"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "## 1 数据预处理"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Name</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Braund, Mr. Owen Harris</td>\n",
+       "      <td>male</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n",
+       "      <td>female</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Heikkinen, Miss. Laina</td>\n",
+       "      <td>female</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>7.9250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
+       "      <td>female</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Allen, Mr. William Henry</td>\n",
+       "      <td>male</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   PassengerId  Survived  Pclass  \\\n",
+       "0            1         0       3   \n",
+       "1            2         1       1   \n",
+       "2            3         1       3   \n",
+       "3            4         1       1   \n",
+       "4            5         0       3   \n",
+       "\n",
+       "                                                Name     Sex   Age  SibSp  \\\n",
+       "0                            Braund, Mr. Owen Harris    male  22.0      1   \n",
+       "1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n",
+       "2                             Heikkinen, Miss. Laina  female  26.0      0   \n",
+       "3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n",
+       "4                           Allen, Mr. William Henry    male  35.0      0   \n",
+       "\n",
+       "   Parch            Ticket     Fare Cabin Embarked  \n",
+       "0      0         A/5 21171   7.2500   NaN        S  \n",
+       "1      0          PC 17599  71.2833   C85        C  \n",
+       "2      0  STON/O2. 3101282   7.9250   NaN        S  \n",
+       "3      0            113803  53.1000  C123        S  \n",
+       "4      0            373450   8.0500   NaN        S  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 导入，读取数据\n",
+    "titanic_df = pd.read_csv(r'C:\\Users\\tyvw\\Desktop\\train.csv')\n",
+    "titanic_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "数据集的属性列表：\n",
+    "- PassengerId – 乘客编号，每个ID对应与唯一的乘客\n",
+    "- Pclass – 船舱等级，1 一等舱，2 二等舱，3 三等舱\n",
+    "- Sex – 乘客性别，0 男性，1 女性\n",
+    "- Age – 乘客年龄\n",
+    "- SibSp - 同辈亲属数量（比如兄弟姐妹或者配偶）\n",
+    "- Parch – 非同辈亲属数量（比如父母和子女）\n",
+    "- Fare – 船票价格\n",
+    "- Embarked – 上船的港口，0S (South Ampton), 1C (Cherbourg), 2Q (Queenstown)\n",
+    "\n",
+    "数据集的标签：\n",
+    "- Survived – 该乘客是否幸存， 0 遇难，1幸存"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 891 entries, 0 to 890\n",
+      "Data columns (total 12 columns):\n",
+      " #   Column       Non-Null Count  Dtype  \n",
+      "---  ------       --------------  -----  \n",
+      " 0   PassengerId  891 non-null    int64  \n",
+      " 1   Survived     891 non-null    int64  \n",
+      " 2   Pclass       891 non-null    int64  \n",
+      " 3   Name         891 non-null    object \n",
+      " 4   Sex          891 non-null    object \n",
+      " 5   Age          714 non-null    float64\n",
+      " 6   SibSp        891 non-null    int64  \n",
+      " 7   Parch        891 non-null    int64  \n",
+      " 8   Ticket       891 non-null    object \n",
+      " 9   Fare         891 non-null    float64\n",
+      " 10  Cabin        204 non-null    object \n",
+      " 11  Embarked     889 non-null    object \n",
+      "dtypes: float64(2), int64(5), object(5)\n",
+      "memory usage: 83.7+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 观察数据完整性\n",
+    "titanic_df.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "有三个属性存在数据缺失：**Age，Cabin 和 Embarked\n",
+    "**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>PassengerId</th>\n",
+       "      <th>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Fare</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>714.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>446.000000</td>\n",
+       "      <td>0.383838</td>\n",
+       "      <td>2.308642</td>\n",
+       "      <td>29.699118</td>\n",
+       "      <td>0.523008</td>\n",
+       "      <td>0.381594</td>\n",
+       "      <td>32.204208</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>257.353842</td>\n",
+       "      <td>0.486592</td>\n",
+       "      <td>0.836071</td>\n",
+       "      <td>14.526497</td>\n",
+       "      <td>1.102743</td>\n",
+       "      <td>0.806057</td>\n",
+       "      <td>49.693429</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.420000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>223.500000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>20.125000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>7.910400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>446.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>28.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>14.454200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>668.500000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>38.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>31.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>80.000000</td>\n",
+       "      <td>8.000000</td>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>512.329200</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       PassengerId    Survived      Pclass         Age       SibSp  \\\n",
+       "count   891.000000  891.000000  891.000000  714.000000  891.000000   \n",
+       "mean    446.000000    0.383838    2.308642   29.699118    0.523008   \n",
+       "std     257.353842    0.486592    0.836071   14.526497    1.102743   \n",
+       "min       1.000000    0.000000    1.000000    0.420000    0.000000   \n",
+       "25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n",
+       "50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n",
+       "75%     668.500000    1.000000    3.000000   38.000000    1.000000   \n",
+       "max     891.000000    1.000000    3.000000   80.000000    8.000000   \n",
+       "\n",
+       "            Parch        Fare  \n",
+       "count  891.000000  891.000000  \n",
+       "mean     0.381594   32.204208  \n",
+       "std      0.806057   49.693429  \n",
+       "min      0.000000    0.000000  \n",
+       "25%      0.000000    7.910400  \n",
+       "50%      0.000000   14.454200  \n",
+       "75%      0.000000   31.000000  \n",
+       "max      6.000000  512.329200  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 观察数据基本统计信息\n",
+    "titanic_df.describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "<hr>\n",
+    "\n",
+    "## 1.1 属性分析\n",
+    "\n",
+    "- PassengerId – 随机赋予的乘客编号；理论上与该乘客是否存活不存在任何关联关系，所以**删除PassengerId属性**\n",
+    "- Name - 乘客姓名，同上，无关属性\n",
+    "- Pclass – 船舱等级；与是否存活下来有关\n",
+    "- Sex – 乘客性别；与是否存活下来有关\n",
+    "- Age – 乘客年龄；与是否存活下来有关\n",
+    "- SibSp - 同辈亲属数量；与是否存活下来有关\n",
+    "- Parch – 非同辈亲属数量；与是否存活下来有关\n",
+    "- Fare – 船票价格；与是否存活下来有关\n",
+    "- Embarked – 上船的港口，0S (South Ampton), 1C (Cherbourg), 2Q (Queenstown)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>female</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>7.9250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Survived  Pclass     Sex   Age  SibSp  Parch            Ticket     Fare  \\\n",
+       "0         0       3    male  22.0      1      0         A/5 21171   7.2500   \n",
+       "1         1       1  female  38.0      1      0          PC 17599  71.2833   \n",
+       "2         1       3  female  26.0      0      0  STON/O2. 3101282   7.9250   \n",
+       "3         1       1  female  35.0      1      0            113803  53.1000   \n",
+       "4         0       3    male  35.0      0      0            373450   8.0500   \n",
+       "\n",
+       "  Cabin Embarked  \n",
+       "0   NaN        S  \n",
+       "1   C85        C  \n",
+       "2   NaN        S  \n",
+       "3  C123        S  \n",
+       "4   NaN        S  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 从数据集中删除PassengerId，Name变量\n",
+    "titanic_df.drop(['PassengerId','Name'], axis=1, inplace=True)\n",
+    "# 观察更新后的数据\n",
+    "titanic_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\tyvw\\AppData\\Local\\Temp\\ipykernel_4636\\1366697872.py:1: FutureWarning: In a future version of pandas all arguments of Series.dropna will be keyword-only.\n",
+      "  titanic_df[\"Embarked\"] = titanic_df[\"Embarked\"].dropna(0)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "titanic_df[\"Embarked\"] = titanic_df[\"Embarked\"].dropna(0)\n",
+    "\n",
+    "f, ax = plt.subplots(figsize = (8, 6))\n",
+    "sns.countplot(x=\"Embarked\", data=titanic_df,hue=\"Survived\")  # hue=\"Survived\"\n",
+    "ax.set_xticklabels([\"South Ampton\",\"Cherbourg\",\"Queenstown\"])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Embarked</th>\n",
+       "      <th>Survived</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>C</td>\n",
+       "      <td>0.553571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Q</td>\n",
+       "      <td>0.389610</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>S</td>\n",
+       "      <td>0.336957</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  Embarked  Survived\n",
+       "0        C  0.553571\n",
+       "1        Q  0.389610\n",
+       "2        S  0.336957"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 分析不同码头上船的乘客们的生存几率\n",
+    "titanic_df[['Embarked', 'Survived']].groupby(['Embarked'], as_index=False).mean().sort_values(by='Embarked', ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "#### Age | 存在多项缺失值，由于年龄是数值型数据，运用随机森林进行预测填充"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.ensemble import RandomForestRegressor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "d:\\Anaconda\\lib\\site-packages\\sklearn\\base.py:439: UserWarning: X does not have valid feature names, but RandomForestRegressor was fitted with feature names\n",
+      "  warnings.warn(\n",
+      "C:\\Users\\tyvw\\AppData\\Local\\Temp\\ipykernel_4636\\1365361757.py:17: UserWarning: \n",
+      "\n",
+      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
+      "\n",
+      "Please adapt your code to use either `displot` (a figure-level function with\n",
+      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
+      "\n",
+      "For a guide to updating your code to use the new functions, please see\n",
+      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
+      "\n",
+      "  sns.distplot(titanic_df[\"Age\"].dropna(), kde=True, bins=50, fit=stats.gamma)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "age_df = titanic_df[[\"Age\", \"Fare\", \"Parch\", \"SibSp\", \"Pclass\"]].copy()  # .copy()用于复制原始数据 挑选数值型字段\n",
+    "\n",
+    "# 分割有缺失值的数据集\n",
+    "age_df_notnull = age_df.loc[age_df.Age.notnull()]\n",
+    "age_df_isnull = age_df.loc[age_df.Age.isnull()]\n",
+    "\n",
+    "# 利用非缺失数据建模\n",
+    "x = age_df_notnull.iloc[:, 1:]\n",
+    "y = age_df_notnull.values[:, 0]\n",
+    "x_test = age_df_isnull.values[:, 1:]\n",
+    "\n",
+    "rfr = RandomForestRegressor(n_estimators=1000, n_jobs=-1)\n",
+    "rfr.fit(x, y)\n",
+    "y_pred = rfr.predict(x_test)\n",
+    "\n",
+    "titanic_df.loc[titanic_df[\"Age\"].isnull(), \"Age\"] = y_pred\n",
+    "sns.distplot(titanic_df[\"Age\"].dropna(), kde=True, bins=50, fit=stats.gamma)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### 对Age属性的进一步处理尝试：划分为多个年龄段"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>AgeLevel</th>\n",
+       "      <th>Survived</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>(0.34, 20.315]</td>\n",
+       "      <td>0.428571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>(20.315, 40.21]</td>\n",
+       "      <td>0.369732</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>(40.21, 60.105]</td>\n",
+       "      <td>0.395833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>(60.105, 80.0]</td>\n",
+       "      <td>0.227273</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          AgeLevel  Survived\n",
+       "0   (0.34, 20.315]  0.428571\n",
+       "1  (20.315, 40.21]  0.369732\n",
+       "2  (40.21, 60.105]  0.395833\n",
+       "3   (60.105, 80.0]  0.227273"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic_df['AgeLevel'] = pd.cut(titanic_df['Age'], 4)\n",
+    "titanic_df[['AgeLevel', 'Survived']].groupby(['AgeLevel'], as_index=False).mean().sort_values(by='AgeLevel', ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>SibSp</th>\n",
+       "      <th>Parch</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>7.9250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Survived  Pclass     Sex  Age  SibSp  Parch            Ticket     Fare  \\\n",
+       "0         0       3    male    1      1      0         A/5 21171   7.2500   \n",
+       "1         1       1  female    1      1      0          PC 17599  71.2833   \n",
+       "2         1       3  female    1      0      0  STON/O2. 3101282   7.9250   \n",
+       "3         1       1  female    1      1      0            113803  53.1000   \n",
+       "4         0       3    male    1      0      0            373450   8.0500   \n",
+       "\n",
+       "  Cabin Embarked  \n",
+       "0   NaN        S  \n",
+       "1   C85        C  \n",
+       "2   NaN        S  \n",
+       "3  C123        S  \n",
+       "4   NaN        S  "
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic_df.loc[titanic_df['Age'] <= 20.315, 'Age'] = 0\n",
+    "titanic_df.loc[(titanic_df['Age'] > 20.315) & (titanic_df['Age'] <= 40.21), 'Age'] = 1\n",
+    "titanic_df.loc[(titanic_df['Age'] > 40.21) & (titanic_df['Age'] <= 60.105), 'Age'] = 2\n",
+    "titanic_df.loc[titanic_df['Age'] > 60.105, 'Age'] = 3\n",
+    "titanic_df['Age'] = titanic_df['Age'].astype(int)\n",
+    "titanic_df.drop(['AgeLevel'], axis=1, inplace=True)\n",
+    "titanic_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### Pclass | 船舱等级，可以看出等级越高，存活率越高，成正相关"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "titanic_df[['Pclass', 'Survived']].groupby(['Pclass'], as_index=False).mean()\n",
+    "\n",
+    "f, ax = plt.subplots(figsize = (8, 6))\n",
+    "sns.countplot(x=\"Pclass\", hue=\"Survived\", data=titanic_df)\n",
+    "ax.set_xticklabels([\"一等舱\",\"二等舱\",\"三等舱\"])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### Sex | 性别，可以看出女性存活率比男性高"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "titanic_df[[\"Sex\", \"Survived\"]].groupby(['Sex'], as_index=False).mean()\n",
+    "\n",
+    "f, ax = plt.subplots(figsize = (8, 6))\n",
+    "sns.countplot(x=\"Sex\", hue=\"Survived\", data=titanic_df)\n",
+    "ax.set_xticklabels([\"男性\",\"女性\"])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### SibSp + Parch | 家属们"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "      <th>IsAlone</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>7.2500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>71.2833</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>7.9250</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>53.1000</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>8.0500</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Survived  Pclass     Sex  Age            Ticket     Fare Cabin Embarked  \\\n",
+       "0         0       3    male    1         A/5 21171   7.2500   NaN        S   \n",
+       "1         1       1  female    1          PC 17599  71.2833   C85        C   \n",
+       "2         1       3  female    1  STON/O2. 3101282   7.9250   NaN        S   \n",
+       "3         1       1  female    1            113803  53.1000  C123        S   \n",
+       "4         0       3    male    1            373450   8.0500   NaN        S   \n",
+       "\n",
+       "   IsAlone  \n",
+       "0        1  \n",
+       "1        1  \n",
+       "2        0  \n",
+       "3        1  \n",
+       "4        0  "
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Family = SibSp + Parch\n",
+    "titanic_df['FamilySize'] = titanic_df['SibSp'] + titanic_df['Parch']\n",
+    "titanic_df['IsAlone'] = 0\n",
+    "titanic_df.loc[titanic_df['FamilySize'] == 1, 'IsAlone'] = 1\n",
+    "\n",
+    "# 删除原有的列 Parch & SibSp\n",
+    "titanic_df.drop(['SibSp'], axis=1, inplace=True)\n",
+    "titanic_df.drop(['Parch'], axis=1, inplace=True)\n",
+    "titanic_df.drop(['FamilySize'], axis=1, inplace=True)\n",
+    "titanic_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### Fare | 使用分位数对数据进行划分，可以得到大小基本相等的bin，转换为数值型数据"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>FareLevel</th>\n",
+       "      <th>Survived</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>(-0.001, 7.91]</td>\n",
+       "      <td>0.197309</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>(7.91, 14.454]</td>\n",
+       "      <td>0.303571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>(14.454, 31.0]</td>\n",
+       "      <td>0.454955</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>(31.0, 512.329]</td>\n",
+       "      <td>0.581081</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         FareLevel  Survived\n",
+       "0   (-0.001, 7.91]  0.197309\n",
+       "1   (7.91, 14.454]  0.303571\n",
+       "2   (14.454, 31.0]  0.454955\n",
+       "3  (31.0, 512.329]  0.581081"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic_df['FareLevel'] = pd.qcut(titanic_df['Fare'], 4)\n",
+    "titanic_df[['FareLevel', 'Survived']].groupby(['FareLevel'], as_index=False).mean().sort_values(by='FareLevel', ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Survived</th>\n",
+       "      <th>Pclass</th>\n",
+       "      <th>Sex</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Ticket</th>\n",
+       "      <th>Fare</th>\n",
+       "      <th>Cabin</th>\n",
+       "      <th>Embarked</th>\n",
+       "      <th>IsAlone</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1</td>\n",
+       "      <td>A/5 21171</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>PC 17599</td>\n",
+       "      <td>3</td>\n",
+       "      <td>C85</td>\n",
+       "      <td>C</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>STON/O2. 3101282</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>female</td>\n",
+       "      <td>1</td>\n",
+       "      <td>113803</td>\n",
+       "      <td>3</td>\n",
+       "      <td>C123</td>\n",
+       "      <td>S</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>male</td>\n",
+       "      <td>1</td>\n",
+       "      <td>373450</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>S</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Survived  Pclass     Sex  Age            Ticket  Fare Cabin Embarked  \\\n",
+       "0         0       3    male    1         A/5 21171     0   NaN        S   \n",
+       "1         1       1  female    1          PC 17599     3   C85        C   \n",
+       "2         1       3  female    1  STON/O2. 3101282     1   NaN        S   \n",
+       "3         1       1  female    1            113803     3  C123        S   \n",
+       "4         0       3    male    1            373450     1   NaN        S   \n",
+       "\n",
+       "   IsAlone  \n",
+       "0        1  \n",
+       "1        1  \n",
+       "2        0  \n",
+       "3        1  \n",
+       "4        0  "
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "titanic_df.loc[titanic_df['Fare'] <= 7.91, 'Fare'] = 0\n",
+    "titanic_df.loc[(titanic_df['Fare'] > 7.91) & (titanic_df['Fare'] <= 14.454), 'Fare'] = 1\n",
+    "titanic_df.loc[(titanic_df['Fare'] > 14.454) & (titanic_df['Fare'] <= 31.0), 'Fare'] = 2\n",
+    "titanic_df.loc[titanic_df['Fare'] > 31.0, 'Fare'] = 3\n",
+    "titanic_df['Fare'] = titanic_df['Fare'].astype(int)\n",
+    "titanic_df.drop(['FareLevel'], axis=1, inplace=True)\n",
+    "titanic_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "### OneHotEncoder | 将类别型变量全部onehot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# one-hot编码\n",
+    "sex_dummies_titanic  = pd.get_dummies(titanic_df['Sex'])\n",
+    "sex_dummies_titanic.columns = ['男性', '女性']\n",
+    "titanic_df = titanic_df.join(sex_dummies_titanic)\n",
+    "\n",
+    "embark_dummies_titanic  = pd.get_dummies(titanic_df['Embarked'])\n",
+    "embark_dummies_titanic.columns = ['港口S', '港口C','港口Q']\n",
+    "titanic_df = titanic_df.join(embark_dummies_titanic)\n",
+    "\n",
+    "class_dummies_titanic  = pd.get_dummies(titanic_df['Pclass'])\n",
+    "class_dummies_titanic.columns = ['一等舱', '二等舱', '三等舱']\n",
+    "titanic_df = titanic_df.join(class_dummies_titanic)\n",
+    "\n",
+    "age_dummies_titanic  = pd.get_dummies(titanic_df['Age'])\n",
+    "age_dummies_titanic.columns = ['孩子', '少年', '中年','老人']\n",
+    "titanic_df = titanic_df.join(age_dummies_titanic)\n",
+    "\n",
+    "fare_dummies_titanic  = pd.get_dummies(titanic_df['Fare'])\n",
+    "fare_dummies_titanic.columns = ['便宜票价', '普通票价', '高级票价','豪华票价']\n",
+    "titanic_df = titanic_df.join(fare_dummies_titanic)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "del titanic_df['Sex']\n",
+    "del titanic_df['Embarked']\n",
+    "del titanic_df['IsAlone']\n",
+    "del titanic_df['Pclass']\n",
+    "del titanic_df['Age']\n",
+    "del titanic_df['Fare']\n",
+    "del titanic_df['Cabin']\n",
+    "del titanic_df['Ticket']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "## 2 使用清理后的数据"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.metrics import precision_recall_curve, roc_auc_score, roc_curve\n",
+    "from sklearn.metrics import accuracy_score, mean_squared_error, r2_score, confusion_matrix\n",
+    "from sklearn.model_selection import GridSearchCV  # 参数调优"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Survived</th>\n",
+       "      <th>男性</th>\n",
+       "      <th>女性</th>\n",
+       "      <th>港口S</th>\n",
+       "      <th>港口C</th>\n",
+       "      <th>港口Q</th>\n",
+       "      <th>一等舱</th>\n",
+       "      <th>二等舱</th>\n",
+       "      <th>三等舱</th>\n",
+       "      <th>孩子</th>\n",
+       "      <th>少年</th>\n",
+       "      <th>中年</th>\n",
+       "      <th>老人</th>\n",
+       "      <th>便宜票价</th>\n",
+       "      <th>普通票价</th>\n",
+       "      <th>高级票价</th>\n",
+       "      <th>豪华票价</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Survived  男性  女性  港口S  港口C  港口Q  一等舱  二等舱  三等舱  孩子  少年  中年  老人  便宜票价  普通票价  \\\n",
+       "0         0   0   1    0    0    1    0    0    1   0   1   0   0     1     0   \n",
+       "1         1   1   0    1    0    0    1    0    0   0   1   0   0     0     0   \n",
+       "2         1   1   0    0    0    1    0    0    1   0   1   0   0     0     1   \n",
+       "3         1   1   0    0    0    1    1    0    0   0   1   0   0     0     0   \n",
+       "4         0   0   1    0    0    1    0    0    1   0   1   0   0     0     1   \n",
+       "\n",
+       "   高级票价  豪华票价  \n",
+       "0     0     0  \n",
+       "1     0     1  \n",
+       "2     0     0  \n",
+       "3     0     1  \n",
+       "4     0     0  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset = titanic_df\n",
+    "# 观察数据\n",
+    "dataset.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "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>Survived</th>\n",
+       "      <th>男性</th>\n",
+       "      <th>女性</th>\n",
+       "      <th>港口S</th>\n",
+       "      <th>港口C</th>\n",
+       "      <th>港口Q</th>\n",
+       "      <th>一等舱</th>\n",
+       "      <th>二等舱</th>\n",
+       "      <th>三等舱</th>\n",
+       "      <th>孩子</th>\n",
+       "      <th>少年</th>\n",
+       "      <th>中年</th>\n",
+       "      <th>老人</th>\n",
+       "      <th>便宜票价</th>\n",
+       "      <th>普通票价</th>\n",
+       "      <th>高级票价</th>\n",
+       "      <th>豪华票价</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "      <td>891.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>0.383838</td>\n",
+       "      <td>0.352413</td>\n",
+       "      <td>0.647587</td>\n",
+       "      <td>0.188552</td>\n",
+       "      <td>0.086420</td>\n",
+       "      <td>0.722783</td>\n",
+       "      <td>0.242424</td>\n",
+       "      <td>0.206510</td>\n",
+       "      <td>0.551066</td>\n",
+       "      <td>0.227834</td>\n",
+       "      <td>0.585859</td>\n",
+       "      <td>0.161616</td>\n",
+       "      <td>0.024691</td>\n",
+       "      <td>0.250281</td>\n",
+       "      <td>0.243547</td>\n",
+       "      <td>0.257015</td>\n",
+       "      <td>0.249158</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.486592</td>\n",
+       "      <td>0.477990</td>\n",
+       "      <td>0.477990</td>\n",
+       "      <td>0.391372</td>\n",
+       "      <td>0.281141</td>\n",
+       "      <td>0.447876</td>\n",
+       "      <td>0.428790</td>\n",
+       "      <td>0.405028</td>\n",
+       "      <td>0.497665</td>\n",
+       "      <td>0.419670</td>\n",
+       "      <td>0.492850</td>\n",
+       "      <td>0.368305</td>\n",
+       "      <td>0.155270</td>\n",
+       "      <td>0.433418</td>\n",
+       "      <td>0.429463</td>\n",
+       "      <td>0.437233</td>\n",
+       "      <td>0.432769</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Survived          男性          女性         港口S         港口C         港口Q  \\\n",
+       "count  891.000000  891.000000  891.000000  891.000000  891.000000  891.000000   \n",
+       "mean     0.383838    0.352413    0.647587    0.188552    0.086420    0.722783   \n",
+       "std      0.486592    0.477990    0.477990    0.391372    0.281141    0.447876   \n",
+       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "25%      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "50%      0.000000    0.000000    1.000000    0.000000    0.000000    1.000000   \n",
+       "75%      1.000000    1.000000    1.000000    0.000000    0.000000    1.000000   \n",
+       "max      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
+       "\n",
+       "              一等舱         二等舱         三等舱          孩子          少年          中年  \\\n",
+       "count  891.000000  891.000000  891.000000  891.000000  891.000000  891.000000   \n",
+       "mean     0.242424    0.206510    0.551066    0.227834    0.585859    0.161616   \n",
+       "std      0.428790    0.405028    0.497665    0.419670    0.492850    0.368305   \n",
+       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "25%      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
+       "50%      0.000000    0.000000    1.000000    0.000000    1.000000    0.000000   \n",
+       "75%      0.000000    0.000000    1.000000    0.000000    1.000000    0.000000   \n",
+       "max      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
+       "\n",
+       "               老人        便宜票价        普通票价        高级票价        豪华票价  \n",
+       "count  891.000000  891.000000  891.000000  891.000000  891.000000  \n",
+       "mean     0.024691    0.250281    0.243547    0.257015    0.249158  \n",
+       "std      0.155270    0.433418    0.429463    0.437233    0.432769  \n",
+       "min      0.000000    0.000000    0.000000    0.000000    0.000000  \n",
+       "25%      0.000000    0.000000    0.000000    0.000000    0.000000  \n",
+       "50%      0.000000    0.000000    0.000000    0.000000    0.000000  \n",
+       "75%      0.000000    0.500000    0.000000    1.000000    0.000000  \n",
+       "max      1.000000    1.000000    1.000000    1.000000    1.000000  "
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 继续观察数据基本统计信息\n",
+    "dataset.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# 获得数据集的特征（输入变量）和输出\n",
+    "x = np.array(dataset.iloc[:, 1:])\n",
+    "y = np.array(dataset.iloc[:, 0])\n",
+    "# 分割数据集\n",
+    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=33)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# 绘制混淆矩阵函数\n",
+    "def plot_confusion_matrix(cm, classes,\n",
+    "                          normalize=False,\n",
+    "                          title='Confusion matrix',\n",
+    "                          cmap=plt.cm.Blues):\n",
+    "    plt.figure()\n",
+    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
+    "    plt.title(title)\n",
+    "    plt.colorbar()\n",
+    "    tick_marks = np.arange(len(classes))\n",
+    "    plt.xticks(tick_marks, classes, rotation=45)\n",
+    "    plt.yticks(tick_marks, classes)\n",
+    "\n",
+    "    fmt = '.2f' if normalize else 'd'\n",
+    "    thresh = cm.max() / 2.\n",
+    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
+    "        plt.text(j, i, format(cm[i, j], fmt),\n",
+    "                 horizontalalignment=\"center\",\n",
+    "                 color=\"white\" if cm[i, j] > thresh else \"black\")\n",
+    "\n",
+    "    plt.tight_layout()\n",
+    "    plt.ylabel('True label')\n",
+    "    plt.xlabel('Predicted label')\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# 模型性能评估\n",
+    "def model_performance_evaluation(model_name, test, pred):\n",
+    "    print(model_name,  '| 准确率: %.4f' % accuracy_score(test, pred))\n",
+    "    print(model_name,'| 均方误差: %.4f' % mean_squared_error(test, pred))\n",
+    "    print(model_name, '| R2-score: %.4f' % r2_score(test, pred))\n",
+    "    print(model_name, '| 混淆矩阵：\\n', confusion_matrix(test, pred))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "## 3 对数几率回归模型"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# 模型参数组合\n",
+    "param_lr = {'penalty':['l1','l2'], 'C':[1,1e+2,1e+4], 'max_iter':[100,1000,10000]}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "d:\\Anaconda\\lib\\site-packages\\sklearn\\model_selection\\_validation.py:378: FitFailedWarning: \n",
+      "45 fits failed out of a total of 90.\n",
+      "The score on these train-test partitions for these parameters will be set to nan.\n",
+      "If these failures are not expected, you can try to debug them by setting error_score='raise'.\n",
+      "\n",
+      "Below are more details about the failures:\n",
+      "--------------------------------------------------------------------------------\n",
+      "45 fits failed with the following error:\n",
+      "Traceback (most recent call last):\n",
+      "  File \"d:\\Anaconda\\lib\\site-packages\\sklearn\\model_selection\\_validation.py\", line 686, in _fit_and_score\n",
+      "    estimator.fit(X_train, y_train, **fit_params)\n",
+      "  File \"d:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 1162, in fit\n",
+      "    solver = _check_solver(self.solver, self.penalty, self.dual)\n",
+      "  File \"d:\\Anaconda\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py\", line 54, in _check_solver\n",
+      "    raise ValueError(\n",
+      "ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty.\n",
+      "\n",
+      "  warnings.warn(some_fits_failed_message, FitFailedWarning)\n",
+      "d:\\Anaconda\\lib\\site-packages\\sklearn\\model_selection\\_search.py:952: UserWarning: One or more of the test scores are non-finite: [       nan 0.77682581        nan 0.77682581        nan 0.77682581\n",
+      "        nan 0.77842581        nan 0.77842581        nan 0.77842581\n",
+      "        nan 0.77842581        nan 0.77842581        nan 0.77842581]\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(C=100.0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(C=100.0)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "LogisticRegression(C=100.0)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 建模、训练和预测\n",
+    "base_line_model = LogisticRegression() # 默认 penalty='l2'\n",
+    "lr = GridSearchCV(estimator=base_line_model, param_grid=param_lr, cv=5, n_jobs=3)\n",
+    "lr.fit(x_train, y_train)\n",
+    "y_pred_lr = lr.predict(x_test)\n",
+    "lr.best_estimator_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "对数几率回归模型在训练集上的性能 -- \n",
+      "LogisticRegression | 准确率: 0.7849\n",
+      "LogisticRegression | 均方误差: 0.2151\n",
+      "LogisticRegression | R2-score: 0.0889\n",
+      "LogisticRegression | 混淆矩阵：\n",
+      " [[327  58]\n",
+      " [ 76 162]]\n",
+      "\n",
+      "\n",
+      "\n",
+      "对数几率回归模型在测试集上的性能 -- \n",
+      "LogisticRegression | 准确率: 0.8097\n",
+      "LogisticRegression | 均方误差: 0.1903\n",
+      "LogisticRegression | R2-score: 0.1986\n",
+      "LogisticRegression | 混淆矩阵：\n",
+      " [[140  24]\n",
+      " [ 27  77]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 模型性能评估\n",
+    "print(\"对数几率回归模型在训练集上的性能 -- \")\n",
+    "model_performance_evaluation('LogisticRegression', y_train, lr.predict(x_train))\n",
+    "print(\"\\n\"*2)\n",
+    "print(\"对数几率回归模型在测试集上的性能 -- \")\n",
+    "model_performance_evaluation('LogisticRegression', y_test, y_pred_lr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 绘制混淆矩阵\n",
+    "cnf_matrix = confusion_matrix(y_test, y_pred_lr)\n",
+    "np.set_printoptions(precision=2)  # 设置打印数量的阈值\n",
+    "class_names = [0, 1]\n",
+    "plot_confusion_matrix(cnf_matrix, classes=class_names, title='Confusion matrix')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "该支持向量机模型的AUC值为 0.7970215759849906\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 绘制ROC曲线并计算AUC值\n",
+    "auc_lr = roc_auc_score(y_test, y_pred_lr)\n",
+    "print(f\"该支持向量机模型的AUC值为 {auc_lr}\")\n",
+    "fpr_lr, tpr_lr, thresholds = roc_curve(y_test, y_pred_lr)\n",
+    "plt.plot(fpr_lr, tpr_lr, label=\"对数几率模型: \"+str(round(auc_lr, 3)))\n",
+    "plt.xlabel('False Positive Rate')\n",
+    "plt.ylabel('True Positive Rate')\n",
+    "plt.title('ROC')\n",
+    "plt.xlim([0,1])\n",
+    "plt.ylim([0,1.1])\n",
+    "plt.grid()\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "## 4 决策树"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.tree import DecisionTreeClassifier, export_graphviz\n",
+    "params_dt = {'criterion':['entropy','gini'], 'splitter':['best', 'random']}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeClassifier(splitter=&#x27;random&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeClassifier</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeClassifier(splitter=&#x27;random&#x27;)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "DecisionTreeClassifier(splitter='random')"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "base_line_model = DecisionTreeClassifier()\n",
+    "dtc = GridSearchCV(estimator=base_line_model, param_grid=params_dt, cv=5, n_jobs=3)\n",
+    "dtc.fit(x_train, y_train)\n",
+    "y_pred_dt = dtc.predict(x_test)\n",
+    "dtc.best_estimator_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "决策树模型在 训练集 上的性能 -- \n",
+      "DecisionTree | 准确率: 0.8411\n",
+      "DecisionTree | 均方误差: 0.1589\n",
+      "DecisionTree | R2-score: 0.3269\n",
+      "DecisionTree | 混淆矩阵：\n",
+      " [[350  35]\n",
+      " [ 64 174]]\n",
+      "\n",
+      "\n",
+      "\n",
+      "决策树模型在 测试集 上的性能 -- \n",
+      "DecisionTree | 准确率: 0.8470\n",
+      "DecisionTree | 均方误差: 0.1530\n",
+      "DecisionTree | R2-score: 0.3558\n",
+      "DecisionTree | 混淆矩阵：\n",
+      " [[151  13]\n",
+      " [ 28  76]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 模型性能评估\n",
+    "print(\"决策树模型在 训练集 上的性能 -- \")\n",
+    "model_performance_evaluation('DecisionTree', y_train, dtc.predict(x_train))\n",
+    "print(\"\\n\"*2)\n",
+    "\n",
+    "print(\"决策树模型在 测试集 上的性能 -- \")\n",
+    "model_performance_evaluation('DecisionTree', y_test, y_pred_dt)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 计算混淆矩阵\n",
+    "cnf_matrix = confusion_matrix(y_test, y_pred_dt)\n",
+    "np.set_printoptions(precision=2)  # 设置打印数量的阈值\n",
+    "class_names = [0, 1]\n",
+    "# 绘制混淆矩阵\n",
+    "plot_confusion_matrix(cnf_matrix, classes=class_names, title='Confusion matrix')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "该支持向量机模型的AUC值为 0.825750469043152\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 绘制ROC曲线并计算AUC值\n",
+    "auc_dt = roc_auc_score(y_test, y_pred_dt)\n",
+    "print(f\"该支持向量机模型的AUC值为 {auc_dt}\")\n",
+    "fpr_dt, tpr_dt, thresholds = roc_curve(y_test, y_pred_dt)\n",
+    "plt.plot(fpr_dt, tpr_dt, label=\"决策树: \"+str(round(auc_dt, 3)))\n",
+    "plt.plot(fpr_lr, tpr_lr, label=\"对数几率模型: \"+str(round(auc_lr, 3)))\n",
+    "plt.xlabel('False Positive Rate')\n",
+    "plt.ylabel('True Positive Rate')\n",
+    "plt.title('ROC')\n",
+    "plt.xlim([0,1])\n",
+    "plt.ylim([0,1.1])\n",
+    "plt.grid()\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "## 5 神经网络"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.neural_network import MLPClassifier\n",
+    "params_mlp = {'solver':['sgd', 'lbfgs'], 'alpha': [1e-3, 1e-4], 'learning_rate_init':[1e-3, 1e-4] }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>MLPClassifier(hidden_layer_sizes=(6, 6, 6), learning_rate_init=0.0001,\n",
+       "              max_iter=1000, solver=&#x27;lbfgs&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">MLPClassifier</label><div class=\"sk-toggleable__content\"><pre>MLPClassifier(hidden_layer_sizes=(6, 6, 6), learning_rate_init=0.0001,\n",
+       "              max_iter=1000, solver=&#x27;lbfgs&#x27;)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "MLPClassifier(hidden_layer_sizes=(6, 6, 6), learning_rate_init=0.0001,\n",
+       "              max_iter=1000, solver='lbfgs')"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# 神经网络训练模型\n",
+    "base_line_model = MLPClassifier(solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(6, 6, 6), max_iter=1000)\n",
+    "mlp = GridSearchCV(estimator=base_line_model, param_grid=params_mlp, cv=5, n_jobs=3)\n",
+    "mlp.fit(x_train, y_train)\n",
+    "y_pred_nn = mlp.predict(x_test)\n",
+    "mlp.best_estimator_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "神经网络模型在 训练集 上的性能 -- \n",
+      "Neural Network | 准确率: 0.8363\n",
+      "Neural Network | 均方误差: 0.1637\n",
+      "Neural Network | R2-score: 0.3065\n",
+      "Neural Network | 混淆矩阵：\n",
+      " [[353  32]\n",
+      " [ 70 168]]\n",
+      "\n",
+      "\n",
+      "\n",
+      "神经网络模型在 测试集 上的性能 -- \n",
+      "Neural Network | 准确率: 0.8321\n",
+      "Neural Network | 均方误差: 0.1679\n",
+      "Neural Network | R2-score: 0.2929\n",
+      "Neural Network | 混淆矩阵：\n",
+      " [[150  14]\n",
+      " [ 31  73]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 模型性能评估\n",
+    "print(\"神经网络模型在 训练集 上的性能 -- \")\n",
+    "model_performance_evaluation('Neural Network', y_train, mlp.predict(x_train))\n",
+    "print(\"\\n\"*2)\n",
+    "\n",
+    "print(\"神经网络模型在 测试集 上的性能 -- \")\n",
+    "model_performance_evaluation('Neural Network', y_test, y_pred_nn)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 计算混淆矩阵\n",
+    "cnf_matrix = confusion_matrix(y_test, y_pred_nn)\n",
+    "np.set_printoptions(precision=2)  # 设置打印数量的阈值\n",
+    "class_names = [0, 1]\n",
+    "# 绘制混淆矩阵\n",
+    "plot_confusion_matrix(cnf_matrix, classes=class_names, title='Confusion matrix')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "神经网络的AUC值为 0.8082786116322701\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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kNCai2EIBFQatmgkJIYRYq/j9zHFMHhhJTIifx3uI3ksSHyGEED1bfUXLKE5ay393UlZXSIahJcHR68kM0VMTluBxqhY9BmUA9aZYGuucozmKNRznZleQFO7PxEGHp6xGxIWAw85nn33G7FEx6HSyInJfI4mPEEKInsNc6hrFaZ2yqqkrJrMlycnQ68kK0VMW7pnkqNEQpEqmuSGB6urYljbyKJybXYG/TsOkxFAmDghjQpJz6ioq2ODxPlaHvXM/o+hWkvgIIYToeooC5hJXZ1VrslNfV0JWy0KAGQY9GSEGCiMSPU5XoSZUm4DKkkxlVTSNdQk4LLHUKod/rKVGBjJhpJEJLYnO8NhgtBp1l31E0TNJ4iOEEKJzKQqYCl2dVa3JjqWhjGz94emqjBADuRGJKG2sdROmi0dvH4C5NpaKyhjsTfGYFL3r9UC9hvGDnKsfTxxgZHxSGOGBeo/3EUISHyGEEL6jKFBbcHgUp7WNvKGCHL2uZbrKQFaonn1RSdjaSHKM+iiCVQNpqounpCyShro4zI4At2MGRQW21OU4E50h0cFo1LI4oDgxSXyEEEJ0jKJAdZ7bKA7F6Tgaq8jTaZ11OXoDGaF69kQlYWkjMQnRGYnQDUZpSqSsMoqy8mjM9mC3Y4L9tIxPOrw7+YSkMEIDpOhYdIwkPkIIIU7M4YDqXLcEh+J0lKYaCrXOXcgzDc4kJys6kXq1Zy1NgDaQeP8h6GwDqK2JJa8onMKmEAo5nBCpVDAsJti1zcOEZCODooJQy2iO8BFJfIQQQrhzOKAqp6WzKq0lydkJllrKNWrXtg7OJCeBao3nYn4GjR9JgYMJIpXGungOFUdQUhVEKe4JUai/zpXkTEwOY2xSKCF+MpojOo8kPkII0Z857FC5362ziuKd0GymVq1uma5yJjmZhgTK2lixWKvWkho8mHDdIOyNiZSWR7H/UCBpdvdRGrUKhsWGuI3mDIwMlI07RZeSxEcIIfoLuw0q9rrX5JTsAms9DSrV4TbyUD0ZfgkcaiPJUavUpISkEuc3BK0tmeqqWPYVBLHd5PA4NjxQz8Rk53o5E5KNjE00EmSQHzuie8mfQCGE6IvsNijPdl8MsGQX2BqxqGCPvjXJMZDpF8oBrRaljYGXpOAkBgYPJ4AUGkzx5BUbycxuJt2hHHGUA41axYi4YNdIzsTkMJLDA2Q0R/Q4kvgIIURvZ2uG8t1uqx1Tmgm2JmzgbCPX68kM9SPDL4x9Oi22NvKRmIAYhoePJEwzCFtjAiVlkezKspFVZzniKOfvI4MMTEw2ulZBHptoxF8vG3eKnk8SHyGE6E1sFijLcl8MsDQT7M04gIM6rTPJCfEn0y+cbL2OJpXi8TZhhjBGRY4iMWAY6uZEKqti2H0IPk8zY3eN5tQDoNOoGBkfyoSkw4lOYpi/jOaIXkkSHyGE6KmsTVCW6b4YYNlucFhRgKKWNvKMkAAy/SPJ0uuo80hyFIJ0QYyMGMlQ40j8lRTqTbHsLdLx0481VDdYW44zuc6IDfFj4oDDqyCPig/FTyejOaJvkMRHCCF6AmsjYfX7Uf/6GpTtgqJ05/SVwwZAhUZNht5AZkgAGf4BZPkZqOLogmIFg8bA8PDhjIoYRZR+CNaGBA6WBLBjdy3flppxDubUuM7Qa9SMTghxWwU5LtS/qz61EF1OEh8hhOhqzfVQkuG2GKC2PJuZih32Qq1aRabeQGZwAJkBQWT4+VGK7ag3caBVaRkSNoRRkaMYFDICdXMypRVGdhSYWPtLDbWNVqCq5ZdTgtHfufpxchgTk42MjA/B0Eb3lhB9lSQ+QgjRmSx1ULLTvSanYi8oztGaBpWK3Xo9GcEB7PQLJDswkHysR72JDRUqBoYOZFTkKEaGjyJUM5Ca6kh2HWrg+y3VrCqvQ1EqgUrXWQatmrGJoYe3ekgOIybEr6s+uRA9kiQ+QgjhK02mI5KcHc5Ep2If4Ky7aQb26vVkBAWQERRKpl8AB2jGwZF1Oc6kJzEokdGRoxkdOZoBQcNorI9l9yELaXtq+Di/BrPFPckBSA4PcFsccERcCDqN59YRQvRnkvgIIURHNNa49qtyTVlV5bhetgE5Oh1ZQQFkBIWRERDAXqUZm1tdjrM1PDogmpHhI9FWaLn41DkEqAaxr8TO9oM1vPFrNQfKPZMcf52GcUmhLVNWYYxPMhIVbOjkDy1E7yeJjxBCnEhDlccO5FTnul52APlaLRmBAWQGR5AZEEg2zTQqR9TlKE0AGA1GRkWOYlTEKEZHjCbefwgF5Tq25VXyVU4OX2Y2Ut+c7hFCamSgW23OsJhgtDKaI0S7SeIjhBBHqq+E4jT3xQBr8l0vK0CJRkNGgD8ZoVFkBgSRhQWz44i6HKUBgEBdICMjRjI6YjQjI0cyImwkJnMIOwpq2L63hvfzq8mrPDLJUQN2AvUaxh8xZTU+KYzwQH0XfHgh+j5JfIQQ/Vdd+RGjODucyU5tgdshFWo1Wf5+ZBijyQgIIVPVTJW96fABjjoADBoDw8KHMTrCWZczKmIUgeo4dhTUkpZfw+vbqtl1KItGq90jjMHRQYxLDEFbU8A1505nREIYGrUsDihEZ5DERwjRP5hL3EdxinaAucjtEJNaRaafgcywODIDQ8hQWSmx1R8+wOFc5K+1jXxkxEhXAXJSUCr7SxvZnl/Nhp9reDI/j0PVuz3CCPbTOjftbFkFeXyikdAAHVarlc8+y2dYbLAkPUJ0Ikl8hBB9i6KAudh9FKdoB9SVuB3WoFKRbTCQER5PZpCRTJWNg9ballcdYK8BQIWK1NBURkeOdiU6w8KGUVMPafnVbN9Xzdqvq9hVmIvF5r6goEoFQ6OD3TqtBkUFoZbERohuI4mPEKL3UhSoPeRZeFxf5naYFdhrMJARnkhGkJEMtZ0DzdUtbeR2sB3umEoISnCO4kSMZlTkKEaEj0Cn9iej0ERafjUvb68hLf8HimqbOJoxQMeEJKOr02psUighfrpO/QqEEO0jiY8QondQFGeR8ZEJTvEOaHBv87YDOXo9mZEDyAwKI0PjYK+lCqtiA6xgK3cdG+UfxajIUa66nJERIzEajBTVNrH9YDWf/1LDP/LTySoy0Wx3H81Rq2BYbAgTj+i0So0MlI07hejhJPERQvQ8iuJsFz+yJqc4HRqr3Q8D8nV6MqJSyQwOJ1OjsNtSQaOjGbCAtaR1PUBCDaGMimhpI2+py4kOiKbJamdXYS3b91fz1jcH2J5fTZnZ4hFSeKDeleRMSDYyLtFIoEH+CRWit5G/tUKI7uVwOJOcorTDozjF6dBU63aYApTqDGREpZIRGkmmRiHTUonZ1gA0QnOh69gAbYCrHmdUxChGRY4iMSgRgEPVzgLkf+0oZ3v+XrKKTNgc7juaa9QqRsaFuNXmJIcHyGiOEH2AJD5CiK7jcDhXNz6ys6pkJ1hMHodW6QxkRA8iMzSKDA1kNldR2VwLNEDT4XV19Gq9czfyyFGuRCclJAWNWkNDs42dh2r5ZFs1afnbSMuvpqKu2eNaUcGGI6aswhiTEIq/XjbuFKIvksRHCNE5HHbnPlVHdlaV7ITmOo9DzVo/smKHOBcE1KrIaK6iuKkSqIPGw8drVBoGGwc7E5yW2pzBxsHoNDoURSGvsoG0A9WszM8iLb+G7BIz9qNGc3QaFSPjQ13t5BOSjCSG+ctojhD9hCQ+QoiTZ7c5dxw/cjHAkl1gbfA4tFHnT3bsUDJDY8jQqclsriavoRiohYbD01sqVKSEprhqckZFjGJ4+HD8tM7dxessNtILangpPY/t+TWk5VdT3XD0ruYQG+LHxAFGJiSFMXGAkVHxofjpZDRHiP5KEh8hRPvYrVCe7d5ZVZIBtkaPQ626APbGDifTGEOGXkOmtYacukLsSjXUuxcqJwQluOpxRkc4O6yC9EEAOBwKByrq+XhHOWktSc7eUjNHDeag16gZnRDSUpfjTHTiQv076YsQQvRGkvgIIY7N1gzlu907q0oywO7Z9WTXB5EbO4KMsFgy9FqyrLVkmw9idVRAXYXbsZH+ka51clqTnXC/cNfrpiYr2/NqSMsvZnt+NTsKaqht9BzNSTD6uxUgj4wPwaCV0RwhxLFJ4iOEcLJZoDTTvSanLAvsnsXAiiGEgriRZBrjyNDryLCb2G3KpdFWCqZSt2ND9CGHp6taRnOiA6JdNTUOh8L+8jq+3JlPWn4N2/Or2V9eh3LUaI5Bq2ZcotFth/LoEL9O+jKEEH2VJD5C9EfWRlSFO0kp/xrNp19A6S4o2w0Oz1EVxS+U0rhRZIbFk6nXk2E3k2nKxdRcBLXue135a/0ZGTHy8Fo5EaNJDE50KxyuaWhm495y0g5Wk1ZQw478GswWm8d1k8MD3DqthscFo9Ooff9dCCH6FUl8hOjrmhugNMN9McCy3WgVO+MADh1xrJ+R6rgxZIQnkOFnIMteR4Ypl4rGQ1B9yO1tdWqds438iLqc1NBUNOrDU012h8LuYjNpBdVsP1hDWkE1B8rrOZq/TsO4pFBXbc6EZCORQYbO+DaEEP2cJD5C9CXN9c5uqiNrcsqzQXF4HKoERJCrjaNsyDiyAgLIsNeRZc6lsO4gVB10O1aj0jDIOMhtQcChxqHoNO77UFXWWUjLr3AlOjsP1VDfbPe4dmpkoFttzrCYYLQymiOE6AKS+AjRW1nMULzTfYPOir041zg+SmAUTbFjyY5MJtPPnwxHPRm1B8gzH4SqzVDlfnhKSIrbHlbDwofhr3XvjrLZHWQU1rI9v9pVm3Ow0rN9PcigPWI0x9lWHhao99nXIIQQ7SGJjxC9QVNtS5Kz43AbeeV+2kxygmKxxo1jX2QyGX4BZCmNZJhy2V+zH3vZPo/D4wLjXCM5rRt1BuuDPY4rMze1tJI7k5xdh2pptHqO5gyODjq8OGCykSHRwWjUsjigEKJnkMRHiJ6msfqoJGcHVB1o+9jgeOxx48iLTCUjIJAMpZEsUx7ZVdk0l+z2ODzCL8LVXTU8dDhFaUVcccEV6HTuU1bNNge7i01uozmHqj3X6Qn20zprcloSnfGJRkIDdB7HCSFET9EtiU9GRgbz589n//793Hjjjfzzn/887nLxiqJw66238s477+BwOJgzZw7//ve/8feXhclEL9dQ5T6KU7wDqvPaPjY0CSV2LIeiBpMZGESG0kSG6QC7K3fTUJzpcXiwPtitu2pU5ChiAmJcf9esViufpX8GQEltE2n51a5EZ1dhLRabe12QSgVDo4PdVkEeGBmEWkZzhBC9SJcnPhaLhQsvvJDZs2ezdu1aFi5cyKpVq5g/f/4xz3nrrbfYs2cPaWlpmEwmrr/+epYuXcqjjz7ahZELcZLqK9xHcYrSoTa/7WONyRA3ntLoIWQGBJNBM5mmA2RWZlJbuMvjcH+tPyPCR7jV5SQFJ7X5PxQWm52MQhPb8ir5bK+aJ7I2UVzb5BlCgM45ktPSaTUuKZRgPxnNEUL0bl2e+Hz++efU1taybNkyAgICWLJkCQsWLDhu4vPzzz9z2WWXMWDAAADmzJlDZqbn/+EK0WPUlbl3VhXtANOhto8NS4X48dREDyMjMIRMrGSYcsisyKQ8f4fH4Tq1jmFhw1yrHo+OHM3A0IFubeStFEWhqLaJ7QcPT1llFZlotreO5qiBJtQqGB4b4tZplRoZKBt3CiH6nC5PfNLT05k6dSoBAQEAjB07lqysrOOeM2rUKN566y0uvfRSmpqaWLt2LYsWLTrm8RaLBYvl8JL6JpMJcA7tW62eC7SJrtP6/fep+2AuRlWyE1VxOqqSdOd/60raPFQJH4gSO466mJFkBYaQobKRZTpAVmUWhXnbPI5Xq9QMDB3IqHBnkjMyfCSDjYPRa9y7ohx2Bw67gyarnYwik3NhwIJadhTUUmb23F4iPFDHuIRQAptKuezMSYxPDifQ4P7Pgc3muaig6Dx98u9GLyX3oufojHugUpSjF4bvXHfddRdNTU0sX77c9VxUVBR79+4lLCyszXOsViuTJk1i1y7nEP+FF17IRx99hFrd9rofDz/8MI888ojH82vWrHElXEK0m6LgZ63G2JBLaONBjA25GBvy8LPVeh6KijpDLDUBKZQHJJHhF0q2zkGBo5xCeyEVjgqUNjqyItQRJGgSSNQkkqBNIE4Th17Vduu3okCVBXLNKvLqVOSZVRQ2gENxH6VRo5AQCClBCinBzl8RBmfNjhBC9GQNDQ1ceeWV1NbWEhIS4pP37PIRH61Wi8HgviKrn58fDQ0Nx0x8nn/+eYxGIwcPHkSlUnHzzTezePFinnnmmTaPv++++9xGhEwmE0lJScyaNYuIiAjffRjRblarlQ0bNnDOOed4dBL1KIoCpkOoinceHsUp3YmqvtzzUJUaIoagxI2jOWY0+4MjyVTbyKzNIasqi5yaX7E5bHDUwEtsQKxze4fwUYyMGMnI8LbbyFs1NNvYVWhqGcmpIa2glsp6z320ooL0jE8yMj4plAlJRkbHh+Cv95wG6zX3op+Q+9FzyL3oOSorK33+nl2e+ISHh5ORkeH2nNlsRq8/9oJmq1ev5tFHHyU5ORmApUuXcsYZZxwz8TEYDB7JFYBOp5M/xD1Ej7oXigI1B907q4rToaGNv3AqDUQNh7hxOOLGkRcaQ4baRmbNfjIqM9iT9xaWNnYuD/cL91grJ9I/8jghKeRVNrh1WmWXmLE73EeJdBoVI+NDj9jTykiC0b9dtTk96l4IuR89iNyL7tcZ33+XJz6TJ0/mlVdecT3Ozc3FYrEQHh5+zHMcDgdlZWWuxyUlJdjtngunCXFCigLVuUd0Vu1wJjlNNZ7HqrUQNQLix6HEjqMwLLElydlHZmUmWQdWUW/13HcqWBfMyMiRrhby0RGjiQ2MPW4yUmexkV5Q05LoOP9b3eA5tx0X6udWgDwqPhQ/nedojhBCiLZ1eeIzc+ZMTCYTK1euZP78+SxZsoSzzz4bjUZDTU0NwcHBaDTu/5DPmDGDJ554Ao1GQ3NzM08++SQXXXRRV4cuehuHw7nwX/GOI5KcnWDxrMlBrYPoERA/HuLGUxYxgEyVnYyavWRWZJKZ+xY12TUep/lp/BgRMcI1kjMqYhTJIcmoVcfed8rhUDhQUe8ayUnLr2ZPqZmjq+30WjVjEkLdVkGOC5W1q4QQ4mR0S43Pq6++yty5c1m8eDFqtZqNGzcCEBYWRlpaGuPHj3c75/HHH8dkMvHXv/4Vs9nM7Nmzef7557s6dNGTOexQmeM+ilOyEywmz2M1eogZBXHjIW4cNZGDyFQ7yKzZS0ZFBpm5ayjLKvM4TavWMjRsqGudnFGRoxgYOhCt+vh/jWobraQX1LgSnR0FNdQ2eo7mJBj9nQlOS6IzIi4Yg1ZGc4QQwpe6ZeXmiy66iJycHLZt28bUqVNdBcfHajAzGo28+eabXRmi6MkcdudmnEfW5JTsguY6z2M1Bogd7Uxy4sdTHzWULLVCZvUeMiszyTj4LocyPdfXaW0jP7IuZ2jYUI82co/QHAr7yurcanP2l9d5jOb46dSMTTAyoXUV5GQj0SF+Hf5KhBBCeKfb9uqKjY3l/PPP767Li97CboOKPe6LAZbsAqvnLuBo/SF2TMt01Tgs0SPZo4WMqmwyKzPJzP+AA7sOtNlGnhyc7KrHGRU5ihHhIwjQnXjpg5qGZtIKakg76KzNSS+owWzxXP8mOTzgiALkMIbHBaPTHHs6TAghROeQTUpFz2G3Qtnuw6M4RTugNANsntspoAuA2LGumhxrzCgO6DRkVGWTUZlB5qGP2bfrGWyKZxISExDj3L+qZTRnZMRIQg2hJw7PobCnxExaQTXbD9aQVlDNgXLP4uYAvYaxiaGurR4mJBuJDPLsMhRCCNH1JPER3cPeDOWZ7jU5pZnQRis4+iCIG9fyazyOuLHk6XRkVu12TlcV/Y/sjGfabCMPM4Q5R3KO2KjzeG3kR6qssziLj1sSnfRDNTQ0e3YTDowMZPwRnVbDYoLRymiOEEL0SJL4iM5nbYKyTChOR3NoO2fs2Yw2/QZwtLEUuSHkcJITPwEldixFBn8yqrKc3VUlX5KV+Rx1Vs96niBdEKMiRrntYRUXGOfVmjZWu4M9JWZXXc72/GoOVnpOpwUZtIxPMrpayscnGQkLPH7djxBCiJ5DEh/hW9ZG58hNUdrhKauy3eBwTjmpAWPrsX6hrs6q1imrCr9gMqqyyKjIIKP0K7IyX6DaUu1xGT+NH8PDh7u6q0ZFjGJAyIDjtpEfqczc5Epw0vJr2Hmohiarw+O4wdFBbrU5g6OD0KhlrwchhOitJPERHdfc4Cw0PrImpzwblDYWl/QPg7jx2GPHsr3IzvjzrqMhJIrMlpGcjLJNZOz+F2UNbbSRq7QMCRviVpczyDjohG3krjBtDnYXm9xGcw5VN3ocF+KnZXzL6scTWkZzQv1l1VYhhOhLJPER3rHUtSQ5O5yJTtEOZ7eV4jlKQkCEq3289b8NARFkVe1mV9kuNlRsoHrzQg7VebaRq1AxyDiIkREjXXU5Q8OHYtB4XxxcUtvk1k6+q7AWi809TpUKhsUEM+GIrR4GRgahltEcIYTo0yTxEZ6aTIeTnNbC44q90EYbOIHRhxOclimr5sAo9lTvdXZXVfxM5r6VHKg9gOPIJKmlvCcpOMlVdNzaYeVNG3kri81ORqGJtCNWQS6q9ewCMwbonMXHSc5EZ1xSKMF+MpojhBD9jSQ+/V1T7eERnNYpq8r9bR8bHOfqrGpNdmyBkeTUHnB2V1VsJ2P/m+yr2efcjfwo0QHRjAofhaZCw+9P+z1jY8Z61UbeSlEUimqb2H7w8JRVVpGJZrv7aI5aBcNjQ9z2tEqNDGzXxp1CCCH6Jkl8+pOGKuc2DkcuBlh1oO1jQxKOSHBa2siDojhoOuhcDLBiJxk5a8iuyqbJ3sYIi8HoWhCwtS4nKiAKq9XKZ599xtS4qSfcdbfJamdXYa1bolNm9mxZjwjUu9bLmZgcxtjEUAIN8kdbCCGEJ/np0Fc1VLV0Vu04PKJTc7DtY0OTIa51McAJEDcOJTCS4vpi595VlZlk5r5HVmUWZqvZ4/RAXaCzjbyllXx05GjiA+PbNcKiKAoFVY0ta+ZUk1ZQQ1aRCZvDfXpNq1YxIi7ErdMqKdxfRnOEEEJ4RRKfvqC+omUUJ+3wDuS1+W0faxzgNopD3HgIjKCqqYpd5bucdTk/fUBmZSZVTVUepxs0hsNt5C2JTkpIitdt5K0amm1k5ZtciwPuKKimoq7Z47ioYAMTXVNWYYxJCMVfLxt3CiGE6BhJfHobc6n7KE7xDjAVtn1sWKpbZxWxYyEg3OOwLUVbuOWrW7Af1Ybe2kZ+5JTVQONAdOr2FQUrikJeZQNp+dX8mlfJpkwNi7Z+i/2o0RydRsWo+FC32pwEo4zmCCGE8B1JfHoqRQFzyRGdVTucyY65uO3jIwa7LwYYOxb8jV5d6uOcj7ErduIC45gcO9m16vGw8GHtaiNvVWexkV5Q09JS7vxvdcORqzSrAIW4UL8jkpwwRsWH4KeT0RwhhBCdRxKfnkBRnKM2R3ZWFe2Aes/F/EAFkUPc18mJHQN+IR26tN1h54fCHwD4x/R/MDl2crvOdzgUDlTUu9bMScuvZk+pGeWozne9Vs2YhFDGJYSgVBxg/kWzSI4M7lDMQgghREdJ4tPdMt6Hz++B+nLP11RqiBzmtqUDsWPAEOS7y1dmUG2pJlgXzPjo8Sc8vrbRSnrB4a0edhTUUNvouedWgtGfiQOc6+ZMHBDGyLgQ9Fp1S1dXDnGhfj77DEIIIYS3OpT4/Pjjj3z88ccUFBSwZMkSli9fzqOPPoqfn/wwa7etLzuTHpUGooa7LwYYOxr0gZ16+U2HNgFwWvxpHrU7DofCvrI6t1WQ95fXeYzm+OnUjE0wMmGAkQlJzlWQo0Pkz4IQQoiep92JzwsvvMDf/vY3LrzwQtatW8fDDz/Mzz//zIIFC3jttdc6I8a+S1Gc2z4A/OlriJ/Q5SFsPrQZgJmJM6lpaHZNV23PryG9oAazxXMhwgERAa6RnAlJYQyPC0anaV9XlxBCCNEd2p34PPnkk3z55ZecfvrphIWFYTAYWLlyJZMmTZLEp73qK6CxGlA5R3u6kN2h8NPBXHZX7Qbg2XVq7ijf4HFcgF7DuESjqwh5fLKRyKD2FzwLIYQQPUG7Ex+dTodG4955U19fT3CwFKq2W+tojzEZdP6deqnKOotzNKdl3Zz0QzVY/X/CLx7sjYnklTtHbAZGBrqtgjw0JgitjOYIIYToI9qd+CxYsIDzzjuPm266CavVynvvvcfatWu5/fbbOyO+vq28JfGJGubTt7XaHewpMbvqcrbnV3OwssHjuKDYvQBMijqd68+czPgkI2GBep/GIoQQQvQk7U58Fi9eTExMDG+//TbJycl88cUX3HHHHVx99dWdEV/fVuFMPIgcelJvU2ZuciU4afk17DxUQ5PV4XHc4Ogg1yrIoxODuHHjY9Rb4d4zfs+oyOiTikEIIYToDTrU1XXttddy7bXX+jqW/qcDIz7NNgdZxSa3xQEPVTd6HBfip2V8cphrT6vxSUZC/Q93bf1U/BP11noi/CIYETHipD+KEEII0Ru0O/H5+eefmTx5sts2Alu3buXjjz/mH//4h0+D6/NcIz7HTnxKaptaRnKcozm7Cmux2NxHc1QqGBYTzATXxp1GBkYGoVYfe6uH1jb26QnT273PlhBCCNFbtTvxOe2006iuriYk5PBKwXFxcTz77LOS+LSHxXx4j60o51SXoiikFdQ4dydvmboqrm3yODUsQOcsQG5pKR+bGEqwX/v2zzqyjV0IIYToL9qd+CiK4rFp5M6dOwkLC/NZUP1C62hPYDT4O7+7J9fvYcV3OW6HqVUwPDaEia2LAw4IIyUi4KQ27iwwFZBnykOr0nJa/Gkdfh8hhBCit/E68VGr1ahUKlQqFUaj0e21gIAAXn75ZV/H1reVtyQ+R9T3bN7n3Lbi1NRwzhgWxYQk52hOoMG3O4tsKnROc02ImUCwXpYhEEII0X94/RM1NzcXRVEYNGgQO3bscE11qdVq4uLi0Gpl2692aV3Dp6Wjy2Z3sK+0DoB/XjaWARGdt1WFa5orQaa5hBBC9C9eZysDBgwAQK/Xk5KSIgsWnqyjRnxyK+pptjsI0GtICgvotMs2WBv4peQXQOp7hBBC9D/tHqZpbPRsnRYdcNSIz+4SMwDDYoOP2411srYWb6XZ0UxCUAKpoamddh0hhBCiJ+pQcfP777/Pnj17sNvtrufS0tL46KOPfB1f32Rrhqpc5+9bRnyyi02As5C5M20udE5zzUiYcVIF0kIIIURv1O7E5+abb2bzZucPT39/f4YMGcIHH3zA3LlzfR5cn1WVA4od9MEQHAfAnpYRnxFxnTeFqCiKa/0emeYSQgjRH7V75br333+fzz77jKeeeoqEhATeeecdnn32WZqaPNebEcfgWrF5qHP1QSC7JfHpzBGfvdV7KW0oxU/jx+TYyZ12HSGEEKKnanfio9PpqK2tZdq0afz6668AXHbZZWzYsMHnwfVZR63YXNtopbDGWTs1LLbzRnxap7mmxE3BT+vXadcRQggheqoO7c5+xhlnkJ+fz4gRI7juuuuw2+0kJSV1Rnx905EjPhye5kow+rvtp+Vr0sYuhBCiv2v3iM8DDzzA2rVr0ev1rFq1CpVKRWNjI2+99VZnxNc3uTq6WgqbS1oLmztvtKfWUsuO8h0AzEic0WnXEUIIIXqyDq06eO655wKQnJzMypUrAVwdXuIEHA6o2O/8fUtH1+7ilvqeTixs/qHwBxyKg8HGwcQHxXfadYQQQoiezKsRn6amJv7+979z2mmnMW7cOG699VaqqqoAZ8Lz+uuvM2zYsXcYF0eozQdbI2j0YHQuCnl4xKfzCptdbewy2iOEEKIf82rEZ9GiRXz55ZcsXrwYf39/XnvtNS699FKuvvpq/vGPf6DRaHjooYc6O9a+oXXF5ojBoNHicCid3spud9j5vvB7QOp7hBBC9G9eJT4ffPABH374Iaed5tzJ+6KLLiIqKooDBw5w//33c/3118teXd46asXmguoGGprt6LVqUjppf65dFbuosdQQrAtmXPS4TrmGEEII0Rt4la2Ul5czYsQI12Oj0UhQUBAbN24kNVW2PWgXV0eXe33P0JggtJp215p7pXWa6/SE09GpO69rTAghhOjpvEp8FEXhpZdewt/f3/WcxWLhzTffJCwszPXcwoULfR9hX1Oxz/nflhGfLqnvaW1jl9WahRBC9HNeJT4zZ85k/fr1bs+deuqpbNy40fVYpVJJ4nMiinJ4qsu1R1fris2dU99T1lDG7qrdqFAxLX5ap1xDCCGE6C28SnyOTHDESaivgMZqQOUsbubwiM+IuM4Z8Wktah4dOZoI/4hOuYYQQgjRW3ROUYloW+toT9gA0PlTb7FxsKoB6LwRn9ZNSaWNXQghhJDEp2uVu6/YvLfUjKJAVLCBiCCDzy/XbG9mS9EWQNrYhRBCCJDEp2u1bk4a1VrY3Ln1PdtKt9FgayDCL4IRESNOfIIQQgjRx0ni05XK3dfwyS7u3PqeI1drVqvkVgshhBDy07ArtY74tEx17e7kER9pYxdCCCHcSeLTVSxmMBU6fx81FEVRXCM+wzoh8ck35ZNnykOr0jI1bqrP318IIYTojSTx6Sqtoz2B0eAfRnFtE6YmGxq1isHRQT6/XOs018SYiQTrO2/XdyGEEKI36VDis2bNGv74xz8ybdo09u3bxxVXXEFFRYWvY+tbWjcnbV24sGX9nkFRgRi0Gp9frrWNXaa5hBBCiMPanfjcf//93HPPPaSmppKeno5a7XyLm2++2efB9SlHbU6627Vis+8LmxusDfxS8gsAMxJk/R4hhBCiVbu3VH/llVf4+uuvGTNmDCtWrECn07Fs2TJGjRrVGfH1HR4jPi2JT5zvp6G2Fm/F6rCSEJRAaqhsIiuEEEK0aveIj9FopKCgwO25wsJCYmJifBZUn1RxjFb2Thjx2VR4eJpLpVL5/P2FEEKI3qrdIz5///vfueSSS/j973+PxWLh2WefZd26dTzyyCOdEV/fYGuGqlzn76OGYbHZOVBRD/h+xEdRFFcbu0xzCSGEEO7aPeJz7bXXsmHDBoKDgznzzDOpr6/nzTff5JprrvH6PTIyMpg8eTJhYWEsXrwYRVG8Os/hcHD66afzzDPPtDfs7lWVA4od9MEQHMf+sjrsDoVQfx2xIX4+vdTe6r2UNpTip/Fjcuxkn763EEII0du1e8QHYObMmcyc2bFuIYvFwoUXXsjs2bNZu3YtCxcuZNWqVcyfP/+E565YsYLa2loWLlzYoWt3m9YVm6OGgkpFdvHhhQt9PRXV2sZ+atyp+Gl9m1QJIYQQvV27R3zGjRvH448/TnZ2docu+Pnnn1NbW8uyZcsYNGgQS5Ys4bXXXjvheUVFRfztb3/jxRdfRKfTdeja3eaoFZtbW9k7Y6sKaWMXQgghjq3dIz5Llizh888/58ILL0Sv13PppZdy2WWXMXbsWK/OT09PZ+rUqQQEBAAwduxYsrKyTnjenXfeyYABAygoKODHH3/k9NNPP+axFosFi8XiemwyORMNq9WK1Wr1Kk5f0pTtRg3YwwfjsFrJKnLGMyQqwKfx1FhqSC9PB2BqzNRu+awn0hpTT4ytv5F70bPI/eg55F70HJ1xD1SKtwU2bdi/fz/r16/nf//7Hzk5Oezdu/eE59x11100NTWxfPly13NRUVHs3buXsLCwNs/ZsmULp59+Oueddx6TJk3iP//5D7Nnz+b//u//2jz+4YcfbrPYes2aNa6Eqyudkf13jI35bB14JyWhE/n7rxrMVhWLRtsY4MPa5vTmdN5reI8YdQy3h9zuuzcWQgghukFDQwNXXnkltbW1hIT4ZpakQzU+ABUVFfz000/8+OOP7N27l6lTvdsPSqvVYjAY3J7z8/OjoaHhmInPK6+8wqmnnsqnn36KSqXiT3/6EwMGDOD2229n2LBhHsffd999LFq0yPXYZDKRlJTErFmziIiIaMen9AHFgXaXc3HHibPnUqFPxLzlO1QqmHfJbwnQd/gWePjhxx8gD84dfi7njT/PZ+/rS1arlQ0bNnDOOef0vinLPkbuRc8i96PnkHvRc1RWVvr8Pdv9U/eBBx5g/fr15OXlceGFF3LllVeyatUq9Hq9V+eHh4eTkZHh9pzZbD7u+YcOHeK8885zFQInJSURFRVFTk5Om4mPwWDwSK4AdDpd1/8hrs4DWyNo9OgiB5NzoAaAlIhAQgP9fXYZu8POluItAJyRdEaP/8vaLfdCtEnuRc8i96PnkHvR/Trj+2934lNWVsY//vEPzjrrLLTa9o9WTJ48mVdeecX1ODc3F4vFQnh4+DHPSUxMpLGx0fW4rq6OqqoqEhIS2n39Lte6YnPEYNBoXYXNw328I/uuil3UWGoI1gczPnq8T99bCCGE6Cva3dX10ksv8dvf/rZDSQ84W+FNJhMrV64EnMXSZ599NhqNhpqaGux2u8c5c+fOdW2VcfDgQW699VaGDx/udUF1t+qiPbpau7mmxU9Dq/bd9JkQQgjRl3T5T0itVsurr77K3LlzWbx4MWq1mo0bNwIQFhZGWloa48ePdzvnnHPO4cknn+SWW26hoKCA8ePH89///rd3bMfgWsPHvZXd1ys2t67fMyNRVmsWQgghjqVbhgYuuugicnJy2LZtG1OnTnUVHB+vweyGG27ghhtu6KoQfce1hs9QbHYH+0rrAN/u0VVaX0p2VTYqVExPmO6z9xVCCCH6Gq8Sn7POOotPP/2UgIAAZs2adcyRlm+++cbrC8fGxnL++ed7fXyvpChuIz65FfU02x0E6jUkhvmusPn7wu8BGBM5hnC/Y9dKCSGEEP2dV4nPvHnzXF1X1113XWfG07fUl0NTDaCCiMHszqoGYFhsMGq176bpWut7pifKaI8QQghxPF4nPm39XpxA62hP2ADQ+ZNdfBCA4T7cqqLZ3uxqY5dtKoQQQojja3dXl2gHV0dXa2Gzs6NrhA9b2beVbqPR1kikfyQjwkf47H2FEEKIvkgSn87UuoZPlLOVPbu4taPLdyM+rdNcMxJmoFbJ7RRCCCGOp90/Kd99912PtXY2b97MNddc47Og+owjRnxqG6wU1TYBzhofX5E2diGEEMJ77U585s6dS319vdtzgwYN4r333vNZUH2Ga8RnmGv9ngSjPyF+vlmC+6DpIAdNB9GqtZwWd5pP3lMIIYToy7xexyc/Px9wrrVTUFBAcHCw6/Fnn31GYmJi50TYWzWZwFzk/H3kULLTagAY4cOFCzcfco72TIqeRJA+yGfvK4QQQvRVXic+KSkpqFQqVCoVY8aMcT2vUqkYPHgwL730UqcE2GtV7HP+NygG/I1klzgTR19uVeGq75FpLiGEEMIrXic+DocDALVaTXV1NaGhoZ0WVJ9wjD26fFXf02Bt4NfSXwFJfIQQQghvtbvGZ9iwYR3eoLRfOWLFZodDYU9rK7uPprp+Kv4Jq8NKYlAiqSGpPnlPIYQQoq9rdwaze/fuzoij73Ht0TWM/KoGGq129Fo1KRGBPnn7I6e5esVmrUIIIUQPIAu/dBbXiM9QV0fX0JggtJqT/8oVRXG1sctqzUIIIYT3JPHpDDYLVOc6fx85zFXf46vC5r3VeylrKMNf68/k2Mk+eU8hhBCiP+i23dn7tMocUBxgCIHgWPaUONvah/uosLl1muvU2FMxaAw+eU8hhBCiP5Dd2TvDkR1dKpVrqmuEj7aqkDZ2IYQQomNkd/bOcMSKzfUWGwerGgDfjPjUNNWws2In4NyfSwghhBDekxqfznDEiM/eUjOKAlHBBiKCTn5a6oeiH3AoDoaEDSEuKO6k308IIYToTyTx6Qxue3S1Fjb7tr5HRnuEEEKI9mt34lNZWcn999+P3W4nNzeXOXPmcMEFF8j6Pq0cdqhs2a4icijZxb6r77E77PxQ9AMgbexCCCFER7Q78bnqqqvYuXMnKpWKhQsXYjQaiYyM5IYbbuiM+HqfmnywNYHGAGEp7PbhiM+uil3UWmoJ1gczLmrcSb+fEEII0d+0e+Xm77//nqysLGw2G99//z2lpaVUVFQwZMiQzoiv92ldsTliMIpK7Rrx8cUaPq3TXNPip6FVy7YhQgghRHu1+6dndHQ0W7duxWKxMHr0aPR6Pbt27SImJqYz4ut9jlixubi2CVOTDa1axaDok9+qQlZrFkIIIU5OuxOff/zjH1x99dXodDrWrl3Lzz//zCWXXMKyZcs6I77ex9XRNcy1fs+gqCAMWs1JvW1pfSnZVdmoUDEtYdrJRimEEEL0S+1OfObOncuFF16IVqvFz8+P6upq0tLSGDZsWGfE1/u4OrqGHt6qwgc7sreO9oyJHEO4X/hJv58QQgjRH3WonT0oKAiTycSvv/6KzWaTpKeVohw14uO7Pbo2H3ImPrJasxBCCNFx7U58amtrueSSS4iNjWXGjBnExsZy2WWXYTKZOiO+3qWuDJpqQaWGiMGHC5tPcsSn2d7MluItgNT3CCGEECej3YnPggULcDgcHDp0iMbGRgoKCrDZbNx6662dEV/v0jraYxxAEzoOVNQDMOIkR3x+Lf2VRlsjUf5RjAgfcbJRCiGEEP1Wu2t8Pv/8c7Zt20Z8fDwA8fHxPPvss0yaNMnnwfU6ro6uYewvq8PuUDAG6IgJObmtKlqnuaYnTEelUp1slEIIIUS/1e4Rn+TkZL755hu357755hsGDBjgs6B6rdY1fCKHum1VcbLJirSxCyGEEL7R7hGf559/nvPPP593332XgQMHcuDAAX788Uf+97//dUZ8vcsRIz7Zhb5ZuPCg6SAHTQfRqrVMjZt6shEKIYQQ/Vq7R3xmzpxJVlYWZ555JiqVilmzZpGVlcWMGdJtdHjE53BH14iTLGxuXa15UvQkgvRBJ/VeQgghRH/n9YhPU1MT6enpNDc3M378eO69997OjKv3aaoFc7Hz91FDyS75GTj5ER9pYxdCCCF8x6vEZ9u2bVx88cWYzWY0GucKxKtXr+bcc8/t1OB6lYqWHdmDYim3+lFR14xKBUNjOj7i02Bt4NfSXwGp7xFCCCF8wauprttvv52bbrqJ2tpaqqqqWLZsmezGfrQj9uhq3aoiNSIQf33Ht6rYUrwFq8NKYlAiKSEpPghSCCGE6N+8SnzS0tK48cYbXY/nzZtHZWUlZWVlnRZYr3Pkis0tW1UMiz25+p7Waa6ZiTOljV0IIYTwAa8Sn+bmZoKDD/8QV6lUBAYGYrFYOi2wXse1R9cwdpecfEeXoijSxi6EEEL4mFc1PoqiMH36dFd9D4DJZOLcc89Fr9e7ntu+fbvvI+wtXCM+Q8necvKbk+6p3kNZQxn+Wn9OiT3FFxEKIYQQ/Z5Xic/KlSs7O47ezdoE1XkA2MKHsL8sHTi5rSpa29hPjT0Vg+bkVn4WQgghhJNXic+8efM6O47erSoHFAcYQsltCqLZ7iBQryExzL/Dbylt7EIIIYTvtXsBQ9GGIzq6dpfWAc7CZrW6YwXJNU017KzYCUh9jxBCCOFLkvj4wpErNhe3FDbHdXya6/ui73EoDoaEDSE2MNYXEQohhBACSXx8w20Nn5atKk6ild3Vxp4goz1CCCGEL0ni4ws+HPGxO+z8UPQDINNcQgghhK9J4nOyHHbXdhXmoIEU1TYBHV+8cGfFTmottYToQxgbNdZnYQohhBBCEp+TV3MQ7BbQGMhqNAKQYPQnxE/XobdrneaaFj8NrdrrPWSFEEII4YWTSnyam5tRFAWHw+GreHqf1hWbI4eQXdYAwIiTWLiwdf0eaWMXQgghfK/diY/ZbOamm24iJiaGgIAAdu3aRWJiItu2beuM+Hq+I1dsPsmtKkrqS9hTvQcVKqYlTPNVhEIIIYRo0e7EZ/78+eTl5fHGG28QGBhIaGgof/nLX1iwYEFnxNfzHblHV/HJbVXxfeH3AIyJGkO4X7hPwhNCCCHEYe0uIvnqq6/YtWsXSUlJqNVqVCoV8+bN49FHH+2M+Hq+lhEfR8RQ9rS0snd0xKd1mkva2IUQQojO0e4Rn+HDh7Nq1SrAuUu7SqVi06ZNjBo1ytex9XyK4hrxKdYl02i1Y9CqSYkIaPdbNdub+an4J0Da2IUQQojO0u4RnxdffJHzzjuPFStWYDabueKKK8jPz+fjjz/ujPh6trpSsNSCSk2GJQooZWhMMFpN+2vGfy35lUZbI1H+UQwPH+77WIUQQgjR/sRn8uTJ7N+/n08//ZTCwkISExM5//zzCQ0N7Yz4erbWFZvDUsgqswAwvIPr92wuPLwpqUrVsT2+hBBCCHF87U588vPzAZgx43C7dW1tLbW1tSQnJ/sust7gyBWbS05uxWap7xFCCCE6X7sTn5SUFFQqFYqieIxM2O12nwXWKxy5R9eOju/RlVebR745H61ay9T4qb6MUAghhBBHaHcxisPhwG6343A4qKurY+PGjZx55pl89NFHnRBeD9fS0WUxDuZgpXPxwo5sVdE6zTUpZhKBukDfxSeEEEIINye1crO/vz8zZszgk08+4ZFHHvH6vIyMDCZPnkxYWBiLFy9GURSvz62pqSEuLo68vLwOROxjLR1duapEAKKDDUQEGdr9NjLNJYQQQnQNn+zVVVlZSWlpqVfHWiwWLrzwQiZNmsSvv/5KVlaWqz3eG4sXL6akpKSDkfpQUy3UOePY1RQDdKy+p95az6+lvwKyTYUQQgjR2dpd45OamupW2+NwOCguLuaOO+7w6vzPP/+c2tpali1bRkBAAEuWLGHBggXMnz//hOdu2rSJjz/+mIiIiPaG7XutKzYHx7Gr0jli1ZH6np+Kf8LmsJEUnERKSIoPAxRCCCHE0dqd+Bw9OqNSqUhISGDQoEFenZ+ens7UqVMJCHAu8jd27FiysrJOeJ7FYuHmm2/mhRde4J577jnhsRaLxfXYZHJ2XFmtVqxWq1dxnoiqNAst4IgYQlZRLQBDogLa/f7f5X8HwPS46dhsNp/E1pO1fj++ug+i4+Re9CxyP3oOuRc9R2fcg3YnPmecccZJXdBkMpGamup6rFKp0Gg0VFdXExYWdszzlixZwtChQ/nDH/5wwsRn6dKlbdYcffvtt66E62SNLFzPECCvTk9mcTWgomzfDj4r2uH1eyiKwlemrwDQF+r5rOwzn8TWG2zYsKG7QxAt5F70LHI/eg65F92voaHB5+/Z7sTnpZde4qKLLiIuLq5jF9RqMRjcC4D9/PxoaGg4ZuKze/duVqxYQVpamlfXuO+++1i0aJHrsclkIikpiVmzZvlsmkzzzttQBqEjz6TxkAqtWsW8S36HXut92VR2VTbm9Wb8NH78+YI/Y9C0vzC6t7FarWzYsIFzzjkHnU7X3eH0a3Iveha5Hz2H3Iueo7Ky0ufv2e7E59lnnyUpKanDiU94eDgZGRluz5nNZvR6fZvHK4rCTTfdxOOPP058fLxX1zAYDB7JFYBOp/PdH+LKfQAcVDsXbRwUFUSgf/sSly2lWwCYGj+VIL8g38TVS/j0XoiTIveiZ5H70XPIveh+nfH9t7ur64EHHuDxxx+nrq6uQxecPHkyW7ZscT3Ozc3FYrEQHh7e5vH5+fl8//33LF68GKPRiNFoJD8/n7Fjx7JmzZoOxXDSrE1QcxCAdEtrR1f7C5tdbeyyKakQQgjRJdo94rN//34ABg8ezLx58wgMPLzg3oMPPnjC82fOnInJZGLlypXMnz+fJUuWcPbZZ6PRaKipqSE4OBiNRuM6PiEhgdzcXLf3mD59OmvXrmX8+PHtDd83KveD4gC/ULZXOkeqhse2r5W9uqmaneU7AZiRIG3sQgghRFdod+KTl5fHsGHDGDZsGGVlZa7nvd1YU6vV8uqrrzJ37lwWL16MWq1m48aNAISFhZGWluaW0Gi1WlJSUjzeIzExkaCgbpoealmx2blHl3OrivaO+PxQ9AMKCkPDhhIbGOvrCIUQQgjRhnYnPitXrjzpi1500UXk5OSwbds2pk6d6io49nYF525ftbllDR9bxBAOHKgHYEQ7R3xkmksIIYToel7V+GzatAmHw+HTC8fGxnL++ef3jMUI26tlxKfcLwW7Q8EYoCMmxPvCZpvDxg+FPwAyzSWEEEJ0Ja8Sn1mzZnW4mLlPahnxyVESABgeG+z1VB/AropdmJpNhOhDGBs1tlNCFEIIIYQnrxIfRVHa9YO9T3PYncXNwI7GaKD9hc2t01zTEqahVbd7tlEIIYQQHeT1T12j0XjM11oTI7vd7ouYerbqPLBbQOvH1qpAoJkR7Sxsbk18ZJpLCCGE6FpeJz7fffcdwcHtX6umz6lo2Zw0Ygi7S52Fze0Z8SmpL2Fv9V5UqJieML0zIhRCCCHEMXid+IwdO5aQkPZN6fRJ5c7C5ibjYCoONqNSwdAY7xPCzYWbARgbNZYwv2PvTSaEEEII3/OqxmflypU+29yz12sZ8Sk1OLeqSI0IxF+vOd4ZbqSNXQghhOg+Xo34zJs3r7Pj6D1aRnz2OVo6utpR32OxW9havBWQ+h4hhBCiO7R7r65+TVFcIz7bG6KA9tX3bCvZRqOtkWj/aIaHD++UEIUQQghxbJL4tIe5BCwmUKn5vsoIONfw8damwpZursQZsjyAEEII0Q0k8WmPlhWblbBUssstAIyI827ER1EUaWMXQgghupkkPu3RsmJzfcggmu0OggxaEoz+Xp160HSQAnMBWrWWqfFTOzNKIYQQQhyDJD7t0TLiU6xzdnQNiw1GrfZuyqp1tOeUmFMI1AV2TnxCCCGEOC5JfNqjpaNrryMe6GB9j0xzCSGEEN1GEp/2aOno2lbf0tHlZX1PvbWebaXbAFm/RwghhOhOkvh4q7EG6koB+K7KueLyCC9HfH4q+gmbw0ZycDIpoSmdFKAQQgghTkQSH2+1jPY4guLIMTm/tqFeJj6t01wy2iOEEEJ0L0l8vNVS32MKHghAYpg/IX66E56mKAqbDzn355L6HiGEEKJ7SeLjrZaOriKts6PL2xWbs6uyKW8sx1/rzymxp3RaeEIIIYQ4MUl8vNWyhs8eexwAI7zco6u1jX1q3FT0Gn3nxCaEEEIIr0ji462WEZ9f66MB70d8jtymQgghhBDdSxIfb1gbofogAJtaOrqGeVHYXN1Uza7yXYDU9wghhBA9gSQ+3qjcDyjYDaEUWIMwaNWkRASc8LTvC79HQWFY2DBiA2M7P04hhBBCHJckPt5o7egKTAVUDI0JRqs58Vfn6uaSaS4hhBCiR5DExxsta/gUujq6TjzNZXPY+KHoB0DW7xFCCCF6Ckl8vNEy4pPd0tHlzVYVO8t3Ymo2EWoIZWzk2E4NTwghhBDekcTHGy0jPr/UOffo8maritY29mnx09CoNZ0XmxBCCCG8JonPidhtLcXN8KMpAvCuo2tzodT3CCGEED2NJD4nUnMQ7M04NAYKlSiigw1EBBmOe0pJfQl7q/eiVqmZHj+9iwIVQgghxIlI4nMiLfU9tQEpOFB7Vd/TOs01NnIsRj9jZ0YnhBBCiHaQxOdEWlZsLtAkAd7V90gbuxBCCNEzSeJzIi17dO22tXZ0HT/xsdgtbC3ZCkgbuxBCCNHTSOJzIi0jPj/XRQIn3qPr15JfabQ1Eu0fzbCwYZ0enhBCCCG8J4nP8SiKa8RnlyUWrVrFoKig457SWt8zI3EGKpWq00MUQgghhPck8TkeczE0m1FUavKUWAZHB6HXHvsrUxTFLfERQgghRM8iic/xtHZ0+SXSjO6EW1XkmfI4VHcIrVrLaXGndUWEQgghhGgHSXyOp2XF5nx1InDirSpaR3tOiTmFAN2Jd28XQgghRNeSxOd4WhKfLGtLR9cJRnxaV2uWbi4hhBCiZ5LE53haprp+rW/Zo+s4Iz711nq2lW4DJPERQggheipJfI6nZcRnnyOesAAd0cHH3qpiS9EWbA4bA0IGMCBkQFdFKIQQQoh2kMTnWBproK4UgBwlnuGxIcdtT3d1cyVIN5cQQgjRU0nicywtoz0mXRR1BBx3xWZFUWQ3diGEEKIXkMTnWFrqew62dHSNOM6KzburdlPRWIG/1p9TYk7pkvCEEEII0X6S+BxLy1YVGc2xwPH36Gqd5poaNxW9Rt/5sQkhhBCiQyTxOZaWrSoym2NRq2BI9LETH2ljF0IIIXoHSXyOpWXEZ7+SQEpkIP56TZuHVTVVsat8FyCFzUIIIURPJ4lPW6yNUH0QgP2OhOPW9/xQ+AMKCsPChhETGNNVEQohhBCiAyTxaUvlfkChQR1MBSHHXbF58yGZ5hJCCCF6C0l82tLS0ZWnSgRUDDtG4mNz2Pi+6HtAEh8hhBCiN5DEpy0ta/hkWp0dXcfaqiK9PB1zs5lQQyhjIsd0WXhCCCGE6BhJfNrSMuKzxx5PkEFLgtG/zcNap7mmxU9Do267+FkIIYQQPYckPm1pGfHZr8QzLDYYtbrtrSo2FTrX75FpLiGEEKJ3kMTnaHZbS3Gzs5X9WIXNxXXF7Kveh1qlZlr8tK6MUAghhBAdJInP0WoOgr0Zi8pAoRLJ8GPU97QuWjg2cixGP2MXBiiEEEKIjpLE52ite3QRj4KaEccY8ZE2diGEEKL3kcTnaC0rNu+2xQEwtI3Ex2K3sLVkKyCJjxBCCNGbaLvjohkZGcyfP5/9+/dz44038s9//hOVqu0C4laPPPIIzz//PPX19Zx33nm8+eabBAcfe2HBDmvZo2u/I57EMH9C/HQeh/xS8guNtkaiA6IZGjbU9zEIIcQJ2O12rFZrd4fRJ1mtVrRaLU1NTdjt9u4Op0/T6XRoNF3bFd3liY/FYuHCCy9k9uzZrF27loULF7Jq1Srmz59/zHNWr17N6tWrWb9+PeHh4VxwwQU88cQT/OMf//B9gEfs0TX8GFtVtE5zzUiYccKETQghfElRFEpKSqipqenuUPosRVGIjY2loKBA/o3vAkajkdjY2C77rrs88fn888+pra1l2bJlBAQEsGTJEhYsWHDcxKegoIA33niDKVOmAPCHP/yBX375xffBKcrhER8lgd/FeY4oKYrCpkPSxi6E6B6tSU90dDQBAQHyg7kTOBwO6urqCAoKQq2WipDOoigKDQ0NlJWVARAXF9cl1+3yxCc9PZ2pU6cSEBAAwNixY8nKyjruOffee6/b4z179jBkyBDfB2cuhmYzdtTkKbFtjvjkmnI5VHcInVrH1Lipvo9BCCGOwW63u5KeiIiI7g6nz3I4HDQ3N+Pn5yeJTyfz93cuEFxWVkZ0dHSXTHt1eeJjMplITU11PVapVGg0GqqrqwkLCzvh+Xv37uXDDz9k+/btxzzGYrFgsVjcrgnOedvjzYmrSrLQAvlKDFa0DI709zj+u4PfATApehI6dDLH3k6t35d8b91P7kXP4s39sFgsKIqCn58fDoejq0LrdxRFcf1XvufO5+fnh6IoNDY2YjAY3F7rjH+fujzx0Wq1Hh/Mz8+PhoaGEyY+DoeD66+/nhtvvJFRo0Yd87ilS5fyyCOPeDz/7bffukaa2pJa/iVjgX2OeHQqhayfvyP7qFHkj+o+AiC8NpzPPvvsuPGKY9uwYUN3hyBayL3oWY53P7RaLbGxsdTX10vC2gXMZnN3h9AvNDc309jYyHfffYfNZnN7raGhwefX6/LEJzw8nIyMDLfnzGYzer3+hOc+9thjVFVV8dRTTx33uPvuu49Fixa5HptMJpKSkpg1a9Zxh4fVn38Lh1oKm+NDueB896msOmsdD//3YQBuOvsmkoOTTxizcGe1WtmwYQPnnHMOOp1nx5zoOnIvehZv7kdTUxMFBQUEBQXh5+fXxRH2H601PsHBwa4aqlWrVnH++ecTFRXVzdH1PU1NTfj7+zNz5kyPP9eVlZU+v16XJz6TJ0/mlVdecT3Ozc3FYrEQHh5+3PM++eQTli1bxk8//XTcURsAg8HgMaoEzra54/4DX9WyVYUjnhFxIR7Hbivahk2xMSBkAIPCBx03BnF8J7wXosvIvehZjnc/7HY7KpUKtVrdK2tPfvnlF/7617/yv//9z+3f8dLSUoYNG3bMTrWmpiYWL17M448/TmhoKPX19fj5+R2zHqS5uRmDwUBYWNgJvyeTycRTTz3FHXfc4Xru/PPP56qrruLKK69ErVazc+dObr/9dn73u9/1yu+9p1Or1ahUqjb/7HfGv01dfgdnzpyJyWRi5cqVACxZsoSzzz4bjUZDTU1Nm2sm7N69m7lz5/Liiy+SlJREXV1dpwx/ta7afKxW9tZurhkJM3x/bSGE6OMmT57MxRdfzKFDhwB45plnePrpp3n55Zex2+08/fTTPP3007zxxhtu57311lvs2rXLtXbb0KFDSU1NJSUlhZSUFHQ6HY8++qjreL1ej8FgYPv27VRUVFBRUUFBQYHr9xUVFRQVFVFRUcFvf/tbgoKCXOcWFRWxdetWTjvtNNdzb7/9Nna7ndNPP911zWnTpp30Gj9Wq5Ubb7yR0NBQpk+fTn5+vlfnffLJJwwePBh/f38mTZrEtm3bXK8dOnSI3/zmN4SEhDBv3jy3etdXX32VpKQkAgICOPPMMzlw4MBJxd9bdXnio9VqefXVV7ntttuIjIxk3bp1PPnkkwCEhYWxa9cuj3Nefvll6uvrmTdvHsHBwQQHBzNy5EjfBtZYDfXOlrocJZ7hR7WyOxSHa38uaWMXQgjv5eTkYDQaGTBgAMuWLePUU0/l0KFD3H///UycOJHJkyej1+uZOnUqBoOBF154wXVuQ0MDzzzzDCtXrsRsNrNlyxYKCwvJz88nLy+P5557jsmTJ3Pfffe5XVOr1bJv3z7Wrl0LwHPPPcdll13mev2hhx7i/vvvB3AbOXrxxRe54447MJvNPPTQQ5SWlrJixQqGDx9OXl4eubm5xMTEMG/evJPuQHrwwQfZuHEjmzZt4tprr+Waa6454Tlms5mbbrqJV199lZycHM4991x+//vfu16/4oorCAwMZPv27eh0OpYsWQI478Gjjz7KunXryM7OZtCgQVx33XUnFX+vpXST4uJi5dNPP1UqKio6/Vq1tbUKcPxrHfxJUR4KUQofTFEG3POpUllncXs5oyJDGb1qtDL57cmKxWY5xpuIE2lublY++ugjpbm5ubtD6ffkXvQs3tyPxsZGJSsrS2lsbOzCyHxrxYoVytSpUxVFUZSgoCClsbFRqa6uVmJiYhRFUZRvv/1WmTJliuv4P//5z8pLL72kKIqi/OlPf1LOPvts12uffvqp4ufnp3z55Zce1wkMDFS+++47JTo6WsnLy1N++9vfKs8//7wyadIkxWQyKVOnTlX++9//Kueff76ycuVKRVEUJTMzU0lOTlZqa2uV2267TbnsssuUc889V7n33nuVWbNmKatXr1b+/e9/K1OmTFHsdvtJfQ92u10JCwtT/vOf/7ieGz9+vLJv377jnvfLL78okydPdj0+dOiQAihNTU1KWlqaotFolIKCAkVRFKWiokJJSUlRFEVR3nvvPeXyyy93nff9998rcXFxJ/UZfOV4f64rKioUQKmtrfXZ9bplywqA2NhYzj///O66vKfWFZsdCcSEGAgPdC+2bl2t+bS409BrTlyILYQQXUFRFBqt3bOtgr9O064FFK1WK8888wx///vfAY5ZL9P6nps3b+bll19m0qRJPPvss9TW1rJjxw4cDgfPPPMMa9as4b///S8LFixg7ty5/P3vf3erCUlOTuaBBx5gwYIF7Nixg3Xr1rFlyxb+9re/sXfvXi644AJX2QXA3XffTW1tLTNmzKCgoIBt27bxySef8Oc//5ns7GxmzZqFwWDgxx9/bDP2M888kzlz5nDnnXee8LsoKCigurqas846y/XclClT2LZtG4MHDz7meYMGDSI7O5tvv/2WyZMn8/zzzzNz5kwMBgPp6ekMHTqUxMREACIiItDr9ZSWljJy5Ei++eYbduzYQWpqKv/6178455xzThhnX9RtiU+P01Lfk6PEt1nfI7uxCyF6okarnZEPftEt1856dDYBeu9/jDz11FPU1NTwhz/8AXAmOLGxsSiKgtlsxmg0YrPZGD16NACnn346v/zyCxEREZx55pmsXr2azZs3c8899zB69Gg2btxIaGioq3boiy++8EhKbrnlFlasWMHvfvc7/Pz8eOKJJxg6dCjXXHONRxPMCy+8QEhICE888QT+/v4MGDCAhQsXUlBQwL/+9S+CgoJobGzk7bff5oYbbvBYafjTTz/1uhjXZDIREBBAdHS067mQkBCKioqOe15YWBh/+9vfXAlTWFgYP/30k+s9j1wn78j3nDBhApdddhkTJkwAIDU1la1bt3oVa18j5emtKg5vVXF0fU9VUxW7Kpy1R9MTpnd5aEII0dtt3ryZhx56iKCgIC666CLsdrtr37GDBw8SHR1NTU0Nn376qescjUbDhAkTWLx4MTfeeCOzZs1i2LBh3H333bz//vuEhoYCEB0dzaeffspjjz3mMRKjKApNTU388ssvNDc3ExUVhdFobHPEZvDgwZSVlfHZZ59x++23U1payllnncWYMWOIjo4mOzubH3/8kczMTJKTkznjjDPcCpyDgoLa7Chuy/HWtDue/Px8nnnmGdavX4/ZbObRRx9l9uzZ1NXVHfc9f/75Zz755BN++uknampqmDt3Luedd55rscb+REZ8WpUfnuqae9SIzw+FP6CgMDx8ODGBMd0RnRBCtMlfpyHr0dnddm1vpKWlcdFFFzF//nx27tyJzWbj/fffP+aqyK0/jK1WK7feeivp6emce+653HPPPUyePJnVq1fz+OOPY7Vaqa2tJTY2FovF0ubij6+88gqjR4+moqKCF198kaqqKsaNG8eaNWvc1nsDOHjwIHPmzCE2NpYbbriBsWPHctVVVwHw5ptv8uabb7qOve6667j00ks7XOAcHh5ObW0tVqvVNUpkNpsJCWl7c+xWH374ITNnzmT2bOc9v+2223jttdf46quvCA8Pp7y83O341nXy1qxZwx//+EdOPfVUAB5//HH+/e9/k56ezvjx4zv0GXorSXwArI0oNfmogP1tdHRJG7sQoqdSqVTtmm7qDgkJCfzf//0fo0aN4s9//jPvvvsuERERXHfddW1OdQ0fPhxwjvjs2bOHUaNGcfDgQcaMGcOpp57K5s3O0oP169fzxBNPsHHjxjavW1ZWxiOPPMLXX3+N1Wpl586dPPbYY+zcuZOlS5fyxBNPuB3v5+fH1KlTGT9+PMnJyUyZMoWUlBTeffddVq1axZlnngnAww8/jFqt5ne/+12Hv5OYmBgSExPZunUr06c7ZxLS0tJcm3Efi8PhcG3qCc61nSoqKrDb7UyePJkdO3bQ2NiIv78/TU1NZGdnk5CQgMPhoKKiwnWe2WymoaHhpFvyeyOZ6gKo2IcKhWolCJMmlIGRh9d0sDls/FD0AyD1PUII0RHR0dGukRPAtYL+mDFjKCsrIzc31zXVtWvXLlebtVqtZtOmTXzwwQc88MADTJkyherqaq+v+/HHH3P99dczatQoxo0bx/r163nqqadITk7mn//8p9tiuuBMRl5//XVmzJhBVlYWDz/8MECbBdxtTZXV1dW5rZtzIpdeeimPPPIIzc3NbN68mZ9++slVu9PQ0EBjY6PHOdOnT2fLli08+uijrF27lj/+8Y+YTCbOOOMMBg4cyJAhQ1wJ3dNPP82QIUOIj49nxowZfPDBBzz77LOsWbPGNbI1duxYr+PtK3r2/yZ0FVd9TzyDooLRaw//gU4vT8fcbMZoMDImckx3RSiEEL3e0fUkrcW1DofDNe2VmprKbbfdBsC+ffu45557OHDgALm5uQwePJjrrrvOqx/WdrudG2+8kZSUFMCZvKxZs8b1enNzM3v27OHAgQOu6aotW7ZwxhlnMGTIEC699FLuvvtu1/GXX365q37GZDKxePFij2tecMEFXnd1Adx///2cddZZxMTEUFdXxz/+8Q9iY2MBuPXWWzEajTz33HNu50yePJl//etfPPXUU+Tn55OSksL7779PZGQkAP/+9785//zzWb58OU1NTa6aqUsvvZTdu3fz3HPPUVxczOjRo/nwww/75artkviAW33P8Ni2p7mmJUxDoz65xaqEEKI/czgcGI1Gj+ctFgvNzc0ez6empjJ9+nQWL17MxIkTMRgMzJ49m6VLl6LX67HZbDQ1NZGSkoLNZqO5uZmysjKam5tpamo6biwWi4Vzzz2XcePGuaawpk6dyg8//MCkSZMwmUyuepvGxkbee+89t6mutkZ2jjXldiwRERH88ssvbNq0idjYWFc3Gzj3BjuWm266iZtuuqnN10499VT27dvHli1bGDduHAkJCYAz8XvggQd44IEH2hVjXySJDxxew0eJZ3ice2FZa+IzM0GmuYQQ4mRMmjSJ9evXezyfkJDQ5j5dWq3WowD5iy9O3Lqv1+tP2K0UHx/vUQisUqmYPHmyR9H1f//7X7ei49YpMF/Q6/WcffbZPns/cLa4n3feeT59z75EanwAyp1TXTmK+4hPcV0x+2v2o1apmZYwrbuiE0II0Y2ioqK8blMXPZ8kPnYbSmXLruxKAiOOGPFp3ZtrXNQ4Qg2h3RKeEEIIIXxHEp/qPFQOKw2KgQa/WKKDD2f1rmku6eYSQggh+gRJfFrqew4ocQyLM7raFptsTWwtdnYcyPo9QgghRN8giU/5kYXNh+t7fi39lSZ7EzEBMQwNG9pd0QkhhBDChyTxaV3Dx5HAiCO2qnCt1pw4o127DwshhBCi5+r3iY/iGvE5vDmpoiiyTYUQQnSB7du3s2fPnuMeYzKZyMnJ8Xh+//79/XKTTXFy+nfioygoLSM+B4hnSLQz8ck15VJYV4hOrWNq3NTujFAIIfqE0tLSNp9fsWKFx9YRR7vttttYtGgRiqLgcDiwWq2YzWamTZvG+++/DzgXRzx60cKkpCTXvl5tefPNN/n973/fzk8ierv+nfiYilA312FT1BA+EH+9c2XmzYecf1Emx04mQBfQnREKIUSvV1tby4gRI3j33XcB56h6c3MziqKg0+kICDj2v7NPP/00H374IVu2bCEoKIiEhAT+8pe/cPvtt2O327nhhhswGo0MGDCApKQkamtrXecGBAQQHR1NRUUFubm55OXlkZeX51qgUKvV+mzLhvvvv5+wsDDGjh3Lzp07vTpn69atjB49Gn9/f0aMGOG2OGN2djZTp05Fr9cTHx/PBx984HH+559/Tnx8PGaz2Sefob/o34lPS0fXQSWGIXERrqeljV0IIXwnNDSUp59+mnnz5vHzzz+Tn5+P0WgkNDSUV199laeeegqj0Yi/vz9z5851nffhhx+yfPly0tLS+Prrr0lJSaG4uJjrr7+e7Oxs9u/fz5NPPsk555xDQUEB5eXlhIaGYrVaaW5uRqVSodFoePPNNzn33HO54IILGDx4sCvx0ev1qFQqrFbrSX2+l156iZdeeomPP/6Yxx9/nD/+8Y9tbsFxtCuvvJKHHnqIAwcOsHDhQi699FLMZjN2u505c+a4PteiRYu45ppr3JK6hoYGbr31Vp5++mmCg4OPcxXhQekHamtrFUCpqKhwf2HLvxXloRBl/d/PUl74aq+iKIpitpiV8W+MV0avGq0crD3YDdH2bc3NzcpHH32kNDc3d3co/Z7ci57Fm/vR2NioZGVlKY2NjYefdDgUxVLXPb8cjnZ9xrvuukuZN2+e23N//vOflccff1xRFEV56qmnlGuuucbt9fLycsVutysOh0PZuHGjoiiKcsUVVyjr169XFEVRKioqlPz8fMVutysWi0VRFEV56aWXlPj4eEWlUimxsbHKe++9pyiKopSWliopKSnK/Pnzlfj4eCUyMlLx8/NTJk6c6HZNu92uVFdXK3a73avPNW7cOGXp0qWux3PmzFE2bNhw3HPKy8uVqKgo12OHw6HodDplz549Sk5OjnLnnXe6XrPZbIpKpVK2bt3qeu7uu+9WZs6c6VV8PV2bf65bVFRUKIBSW1vrs+v177262tija0vxFmyKjZSQFJJDkrszOiGEODFrAyyJ755r/60I9IFeH/7EE094PNfc3Iyfn5/rsVrtPhFx6qmnYrFY0GoP/7gqKytj48aN+Pv7u56z2+1MmTKF999/n5tuuolLLrmE6OhotmzZQnl5OQ8//DBnnXUWY8eO5fXXXwfgo48+Yu3ataxdu9btmvPnzycgIIDly5ef8DMpisKuXbt4+eWXXc9NmTKFbdu2HXcProiICNRqNWvWrGHOnDm89tprJCcnM3DgQLRaLc8++6zr2H379gEwaNAgAHbu3Mlzzz3Hgw8+yJo1a5g9ezYRERFtXkd46teJj6N8D2qcrewXtezRdWQbuxBCCN9pamqipqaGyMhI1Go1er0es9nsUePT1NSEXq9HrVa32c01Z84c/vznP/O73/3umNf67LPPAHj++edZsmQJCxcu5IcffuDss8/mmWeecdsJ/WjLly/3um6mrq4Oh8NBamqq67mQkBD27t173PNUKhXPPfeca2rPYDDw9ddfuyV4rZYuXcrll1/uSm7++te/YjQaqaur48svv2TRokV88803jBw50quY+7v+nfiUOROfIl0yiWH+OBSHq7BZ2tiFEL2CLsA58tJd126Ht956i//85z8MGDCAjz76CIPBQE1NDR9++CEPPPAA4BxBeffdd9m1a5drhMNoNBITE+MqRM7JyWHHjh0EBQUBUFNTw29+8xveeOMN17Vee+011Go1BQUFPPXUU7zyyiuMGTOGxx57jKqqKv72t7/x97//vc04AwICsNlsXn2m1kTlyE1M/fz8aGhoOO55ZrOZu+66i7feeouLL76Y9evXc/nll/PTTz+RnHx4tmH9+vV88MEHroLp/Px8vvjiC/73v/+5dmD/05/+xOOPP86aNWu8irm/67/FzQ1VaBsrANBFD0OlUrG7ajeVTZUEaAM4JeaUbg5QCCG8oFI5p5u641c7Fne1WCw88cQT3H333bz11luYzWaysrLQ6/UEBgbyyy+/UFFRQWVlJQ0NDa6kB5xJxRdffEFGRgarV6/GZrPx1FNPkZGRQUZGBo899pgrCQJnslBeXs7gwYN5+OGHMZvNpKenExQUxNNPP815552HSqVi48aNJ/31+/v74+/vT3l5ues5s9mMXq8/7nnffPMNsbGxXH311QQHB3P55Zdz6qmnunVvlZSUMH/+fF588UXXiNKhQ4fQarXMnj3bddzEiRPZv3//SX+W/qL/Jj4t6/cUKhGkJEQDh6e5Tos/DZ3GNy2OQggh4MknnyQuLo6LLrrI9dzSpUv53e9+x3XXXcett96K3W5v89zW0ZecnBwuueQSjEYjd955J+np6axatYqHH37YbZRk+/btLF26FJVKRVBQEA899BAPPPAA//vf/9i7dy//+c9/2LBhA7NmzfLJZzvllFPYsmWL63FaWhoJCQnHPcfhcFBWVub2XElJies7sFgsXH755Zx//vlcd911rmMSExNRFAWLxeJ67uDBgye8njis/yY+LSs25zjiGd6yVYVMcwkhhO/t3LmTJUuW8OCDD7qeW7duHa+//jr//Oc/uf/++9m1axfz58/3WIQQ4J133mHHjh2cdtpp3HvvvZx66qnceOONXHjhhWzatInnnnuOxYsXu46/9957mTNnDgCNjY1cccUVnHvuucycOZNnnnmG8vJywsLCjhlvQ0MDjY2NXn++yy67jCeffBKTycTevXv573//6xqRaWpqor6+3uOcKVOmUF5ezh133ME777zDLbfcwq+//sq5554LwC233ILZbObJJ5+krq6Ouro6bDYbycnJnHrqqSxcuJD8/HzWr1/PSy+9xJVXXul1vP1d/018WvfoUhIYERdMZWMlGRUZgBQ2CyGELw0fPpwnnnjCVZPy6quvMnfuXN544w0GDx5MVFQUH3/8MV9++SXjxo3j1Vdfpbq6GoDMzExeeeUV7rzzTt59911uuukmFEXhtNNOc01fXX/99Vx22WU8//zzWCwWV2eY3W7HZDIxbtw4nnvuOQDOOeccFi5cCHDMOpwFCxbw6KOPev35br75ZqKjo0lMTGTMmDFcd911TJo0CXB2sl111VUe5yQkJLB27Vq++eYb5s2bx6effsobb7zByJEjqampYeXKlaSnpxMZGUlwcDDBwcG8/fbbAPz3v/+lqqqKMWPGcM0117Bo0SIuv/xyr+Pt7/ptcbO1dDc6nInP5THBfFv4OQoKI8JHEB0Q3d3hCSFEn6HX67nzzjsBuP766/noo4947733OP/8813HTJw4kbS0NBYtWsQDDzzAxRdfTHV1NYsWLWL69OmsXLnS1f1lsViwWCyEhYXxwgsv8MADD/DWW28REBDgVmTc2NhIaGgoS5cu9Yjp7bff5sYbb+T555/3eG3lypWYTCavP5/BYGDDhg388MMPGAwGpkyZ4nrt4YcfPuZ5c+bMcY1MHcloNB53D7K4uLg2V3IW3um3iY+9bA86wBSUSrCfTtrYhRCiCzz00EM89thjbdakxMXF8Z///If6+noCA53rAx25jUOrr776yu1xVFQUixYt8jju0KFDx4zjj3/8I1dcccUJi5C9pVarmTFDfn70Bv0z8WluwFBXCIAudgQ2h40fC38EpL5HCCE604ABA054TGvS05naWi9H9A/9s8anch8qFKqUIJISkthRtgOz1UyYIYwxkWO6OzohhBBCdJL+mfiUHy5sHh4XwqZC5zTXtIRpaNSa7oxMCCGEEJ2oXyY+jvJsAPY74hkeGyxt7EIIIUQ/0S8Tn8ai3QAcVCeiM9Syv2Y/apWaaQnTujkyIYQQQnSmfpn4OMqcixdajIP5seh7AMZHjSfUENqdYQkhhBCik/W/xMduI6AuDwB97AhXfY+0sQshhDiazWYjKyurS69ptVqPuX2HOHn9L/GpzkWj2GhQDEQmJPFz8c+A1PcIIUR3W7hwIX/605/cnnv55ZfJycnhzTffZM6cOTQ1NbnW7Ln11lt57bXXjvuejz32GCqVyuPX9u3bvYpp3759jB07lpKSkhMeazQaycrKwuFwYLfb+fnnn5k+fToA8+fPZ+3atdjtdtfeYwUFBURHRxMSEkJERAQpKSloNBqSk5P5+uuvMZlMNDc3k5OTQ2xsrFfxihPrf4lP6x5dShwE5NJkbyImIIahYUO7OTAhhOi79u/fz759+9i/f7/rl9VqdTvGaDS6rbwMEB4ezh/+8Ac0Gg16vZ533nmHmpoaAL777jsSExOPe129Xs+cOXMwm82YzWbXuSEhIW0eHxERwYgRI5g1axZTpkzhiiuuICkpidmzZ3PKKadwyimnMGLECKKiojxGggwGA/7+/uzYsYNJkyZx3XXXsXPnTk455RQ+/vhj7r//fk455RTef/99AJKSkigrK+OGG25gyZIl5OXlERUVxZYtW/jtb3/LH/7wBz7//HP8/f09vpeOOHToEL/5zW8ICQlh3rx5bhudHsvDDz/cZuK4ceNGrFYrixcvJjk5mbi4OB588EFXUnfddde1eV5eXt5Jf46T1e9WcLKU7MaAs5X9kMWZ8c9InIFKperewIQQog975plnKC0tde2j9cEHH1BWVkZ4eLjrudb/2mw2VCoVNpsNRVG45JJL2LVrFyUlJezfv59hw4aRnp7O/v37mTlzJuDc7dxqtXokCGq1Gp1OR1BQkOu94dgLGO7evZuQkBCampoICQlh2rRp3HnnncybN891TlVVFaWlpYwYMQKAjIwMampqsNlsbN26lZEjR7Jjxw4OHTrE+++/zx133MHy5cuZOHEip512msc1rVYrOp3O43mDwYDBYECtVvvkZ9QVV1xBZGQk27dv54knnmDJkiU88sgjxz3n3nvvdW03As6d4M855xwmTJjAI488wueff8769euxWCxcdtllKIrCY489xr/+9S/X/mgAW7Zs4Y477iApKemkP8fJ6neJT92hLAxAsT6Jn0t/AGBmwszuDUoIITpIURQabd7vJO5L/lp/r38g//vf/3b9Pjc3l+3bt/O3v/2Njz/+GD8/PwBqamqw2+188MEHPPPMM1x44YV8+umn1NbWsm7dOgYNGkRZWRmFhYWUl5ej0+kYMWIEFouF6upqrr32Wl5++WWPa7cnabj77rspKipi5cqVrFu3Dn9/f6688kquvvpqxo0bx+23384ll1xCbGws77zzDgBbt24lLS2NqqoqPvvsM+rq6njvvfd44403iI6O5q233gKcm7NaLBbXSNGzzz5LZWUlW7du5dChQ+Tn51NXV8eyZcuYNs23XcY7duzg559/Ji8vj8TERJ588klOOeWUEyY+fn5+rvsD8Ne//pU777yT0NBQ3nzzTZ599llGjhwJwF133cWKFSt47LHHCAgIcO2t1vpZH374YTSa7l8rr98lPlQ4p7rKI6IprPsRvVrPqXGndnNQQgjRMY22Rk5d0z3/hm29cisBuoATHwg8+eST6PV6/vKXv/DLL78wdepUXn75ZbdE5eGHH6aiooL/+7//cz33+OOPc8kllzBnzhzsdjv79+9n9erVXH311dx55508/vjjfP755yxfvrzNpMdut7frh+3rr7/OXXfdxYYNG7j11lu56qqrWLBgAaWlpdxyyy2sWrWKkSNHsnz5ctc5N9xwAz/++CPLly/n0UcfJSUlhUcffZRFixa5jZbU1NRwxhlnuB6bTCaqq6spKChgwIAB1NTUoCgKtbW11NfX43A4jrtZqUqlIi0tjfHjx5/wc6WnpzN06FDX1GBERAR6vZ7S0lJiYmK8+m6Kior48MMPyc3NBaCiooLk5GTX6xqNps3v+pdffiE3N5c//vGPXl2ns/WvGh9FIch8AIDi8GYAJsdO9vovrhBCiI6ZO3cuL774ImvWrOHTTz/lrLPOIjc3l+uvv/6Y52RkZDB9+nT+/ve/M3fuXAIDA7n55pu555572LhxIzk5OYDzB3J8fHyb71FfX09wcLDXcWq1WhYtWsS4ceN444038PPzo7q6mn/+85/88MMPzJkzh9NPP91jFGnlypUALF26lOLiYlQqFcuWLXPVBZ1yyinMmjXL7byHHnqIP/3pT9hsNl5//XWee+45goKCeOihh7j++utpbGzEYrFQU1PTZkJRXV3NmDHebbNkMplITU11ey4kJISioiKvv5sVK1Ywd+5c17ThxIkTWbduHeBMMN966y3OOeccj/NefPFFbrnlFtdUZnfrXyM+dcUYHI1YFQ1F2kNgkTZ2IUTv5q/1Z+uVW7vt2t5KTk7ms88+44wzzqC5uZmnnnqK8PBwNm7cyBdffMHs2bM9zhk5ciS//vorQUFBjBgxgk2bNpGcnIzJZCIxMZE1a9YAcODAAYYObbtBpaSkxOu6EpPJxAsvvMBrr73GPffcw1dffcX+/fu5+eabeemll1i9erVrCuv111/nvffeIzIyktzcXD7++GOCg4OJj4/nuuuuY+rUqZx++umcffbZrvdvbGzkpZdecj1es2YNd955JytWrHAVW9fW1vLLL78wcOBANmzYwCeffMKIESO48sorPeI1Go1efS5wJnRH1z/5+fnR0NDg1fl2u51XXnmFr7/+2vXc8uXLueCCC/j555/JyckhPz/fNa3XqqqqinXr1vH88897HWtn61+JT8U+ALJUMeQ3ZAJS3yOE6N1UKlWvGbUePnw4V111lasFXafTsXjxYh5++OE2E58tW7Zw6aWX0tTUhKIozJw5E5PJxNSpU/nss8/4+uuvSUtL4/vvv2fp0qVtXvOXX37hrLPO8iq+pqYmvvrqK7799lvq6ur4+eefuf7667n11ltJT08nISGByspKvvjiC9auXUtERASKojB37lwWL17M008/zbx587j00ksJDAzk4MGDWK1WLrnkEj799FPAOZXW6re//S2fffYZEydOdD336aefctlll/GHP/wBgPPOO4/MzEyGDx/u3Zd8DOHh4ZSXl7s9Zzab0ev1Xp3/7bffEhER4arnARg3bhx5eXlkZ2dzzTXXMH/+fI9RpQ8++IAZM2YQFhZ2UvH7Ur9KfMyFe4gAvvSPwK7UkhKSQlJI91eYCyFEf5CXl8fbb7/N73//e2688UY++eQTrrrqKmw2Gw6Hw+P4adOmUVJSwowZM3j88cc544wzuPjii5k7dy7gbJm+66672LNnD6eccorH+dnZ2WRmZraZVLWyWCyukZDg4GC+/PJLtFotJpOJV199FZPJxB133MHIkSMZO3as67wrrriCxsZGAgICeOKJJ5g+fTpPP/00AA0NDVx55ZXo9XpsNhvNzc3cfffdgLMY/YILLuCRRx4hMjKSt99+m9NOOw0/Pz80Gg0Oh4O6ujrXaI7dbqexsZEffviBU0/teC3X5MmT2bFjB42Njfj7+9PU1ER2djYJCQlenf/uu+/y+9//3uN5jUZDQ0MDe/bscSV3R5/XU2p7WvWrxKe+2Lk56Y4QZ9ugTHMJIUTXMJvNXH755TzwwAPcfPPNjB07ljfeeIN58+Zx++23H/O8wsJC9Ho9d955JyNHjuSnn37iP//5DwDXXnstixYt4uabb25z5OKxxx7jt7/9LeHh4cd8//Xr17N8+XI+//xzFi5cyPfff4/BYHAVRbeuoHx0YmW32xk4cCDr1q3jzDPPdHvtlFNOYdu2bWi1Wq699lomTpzIV199xUcffcTYsWNpbm52HXvnnXe6FUDv37+f6dOne7VgYk1NDcHBwV4Vbw8cOJAhQ4bwxBNP8Mgjj/D0008zZMgQV22UyWTC39+/zbb61u9p1apVbb724IMPctddd3nUWTU2NvLdd9+xYsWKE8bXlfpV4qOuysEB5PjXATAzUaa5hBCis5WXl3Puuecyfvx4V5Lzf//3fxw4cMDtOKvV6lEAm5CQwNdff83777/PggUL+M1vfsO0adP4/vvvufXWW5k4cSJvvvkml112mVsL+Ouvv87777/Pzp073d5PrVajVqvZvHkzWq2Wzz//3FU8/MorrwDONYFMJhMhISGYTCbCwsL49ddfj7n2z9HUajW5ubncd999NDQ08P777/PNN98we/Zsli1bxtVXXw041xTy9j3Bs0MtLCzM664ucC4pcP7557N8+XKamprcRmjGjh3Lc889x5w5czzOy8nJoaioiClTpni89t1337Fjxw7ee+89j9d+/PFHwsLCGDhwoFfxdRmlH6itrVUA5dDfEpWMf0Qqo1eNVqa8PUVptjV3d2j9TnNzs/LRRx8pzc3y3Xc3uRc9izf3o7GxUcnKylIaGxu7MLKTl5OTo9xzzz2KzWZr8/Wqqipl+vTpSmBgoPLqq6+6nq+rq1Nefvll5YwzzlBmz56t5OTkKIqiKKtWrVIGDRqk3H777YrNZlPeeustJSAgQHnuuecURVGUFStWKCqVSlmxYkWb17vyyisVjUajAEpERITyzjvvuL1ut9uV6upqxW63KyUlJQqg1NXVnfBzhoeHK9nZ2cp9992nJCUlKf/6178Uu93uen3Lli3KqFGjlKuvvlpRFEWZMWOG4ufnp4SGhrr9CgoK8njOz89Pueaaa04Yw4lUVVUp//vf/5RDhw6d9Hv5yvH+XFdUVCiAUltb67Pr9asRn2BHLR8HOHdgPy3+NHSatof0hBBC+M7AgQN54oknjvl6WFgYCxcuZOjQoYwbN871fGBgIHV1dTz11FNMnjzZ9by/vz9vvPGGa4Tn6quvZtCgQURGRgJw1VVX4e/vz7XXXtvm9VavXs3q1au9ij0mJua4a+kcqbKyEnC2qT/66KMeozlTp05l165dNDU1AbBp0yav3teXwsLCOO+887r8uj1Jv0p8AL72d67nINNcQgjRc1x++eVtPv+Xv/zF47krrrjC47kjt4IICgo6ZtLTFY63r5ZKpcLf3/tlAITv9YzVhLpIlUrNXoNzflR2YxdCCCH6n36V+GwJ8ENRwYjwEUQFRHV3OEII0SHeTr0I0Rt09Z/nfpX4/Niy0Zq0sQsheqPWVmNvV9sVojdo/fN8rFZ6X+tXNT5b/Z2Jj9T3CCF6I41Gg9FopKysDICAgIB27TwuvONwOGhubqapqanH7C/VFymKQkNDA2VlZRiNxi7bub1fJT51GjVGbQijI0Z3dyhCCNEhsbGxAK7kR/ieoiiuFY4lsex8RqPR9ee6K/SrxAdgeuIMNOquySqFEMLXVCoVcXFxREdHY7VauzucPslqtbJp0yZmzpzZZdMv/ZVOp+uykZ5W/S7xmZV8RneHIIQQJ02j0XT5D4z+QqPRYLPZ8PPzk8SnD+qWycuMjAwmT55MWFgYixcv9qqi+7///S8DBgwgPj7etU9Le6kUOD3+9A6dK4QQQojer8sTH4vFwoUXXsikSZP49ddfycrKOubGZ60yMjK46qqreOCBB/jiiy948MEH2bNnT7uvnaIKJ9QQ2sHIhRBCCNHbdXni8/nnn1NbW8uyZcsYNGgQS5Ys4bXXXjvuOa+++iqzZs3ixhtvZMyYMdx222289dZb7b722CApahZCCCH6sy6v8UlPT2fq1KkEBAQAzh1hs7KyTnjOueee63o8ZcoUHn300WMeb7FYsFgsrse1tbUATIic6tpLRXQPq9VKQ0MDlZWVMnfezeRe9CxyP3oOuRc9R1VVFeDbRQ67PPExmUykpqa6HqtUKjQaDdXV1YSFhXl1TkhICEVFRce8xtKlS3nkkUc8nv/DufNPInIhhBBCdIfKykpCQ31TqtLliY9Wq/XYwM3Pz4+GhoZjJj5Hn9N6/LHcd999LFq0yPW4pqaGAQMGkJ+f77MvTnSMyWQiKSmJgoICQkJCujucfk3uRc8i96PnkHvRc9TW1pKcnEx4eLjP3rPLE5/w8HAyMjLcnjObzej1+uOeU15e7vXxBoOhzd1xQ0ND5Q9xDxESEiL3ooeQe9GzyP3oOeRe9By+XEG7y4ubJ0+ezJYtW1yPc3NzsVgsx83mjj4nLS2NhISETo1TCCGEEH1Plyc+M2fOxGQysXLlSgCWLFnC2WefjUajoaamBrvd7nHOpZdeytq1a9m1axd1dXW88MILzJ49u6tDF0IIIUQv1+WJj1ar5dVXX+W2224jMjKSdevW8eSTTwIQFhbGrl27PM4ZN24cd9xxB6eccgoJCQloNBpuvfVWr69pMBh46KGH2pz+El1L7kXPIfeiZ5H70XPIveg5OuNeqBRf9oi1Q0lJCdu2bWPq1KlERER4dU5WVhaFhYWcccYZx63xEUIIIYRoS7clPkIIIYQQXa1b9uoSQgghhOgOkvgIIYQQot/oE4lPd+32Ljx15F488sgjhIeHYzAYuOSSSzCbzV0Qaf/QkfvRqqamhri4OPLy8jovwH6ko/fC4XBw+umn88wzz3RyhP1He++FoijccssthIeHYzQaue6662hsbOyiaPu+iooKUlNTvf635rvvvmPEiBFERkaybNmydl+v1yc+3bnbu3DXkXuxevVqVq9ezfr168nMzGT37t088cQTXRNwH9eR+3GkxYsXU1JS0nkB9iMncy9WrFhBbW0tCxcu7Nwg+4mO3Iu33nqLPXv2kJaWxubNm8nMzGTp0qVdE3AfV1FRwQUXXOB10lNeXs5FF13E3Llz2bJlC6tXr+bbb79t30WVXu7DDz9UwsLClPr6ekVRFGXHjh3KtGnTjnvOHXfcocyePdv1+LnnnlPuv//+To2zP+jIvVi6dKny448/uh4/+OCDyrnnntupcfYXHbkfrb777jslOjpaiYiIUHJzczsxyv6ho/eisLBQCQ0NVb7++uvODrHf6Mi9WLBggbJ8+XLX48cff1yZO3dup8bZX/zmN79Rnn/+eQXw6t+aZ599Vhk+fLjicDgURVGUjz76SLnqqqvadc1eP+LT0d3ezzrrLNfjKVOmsG3btk6Nsz/oyL249957Oe2001yP9+zZw5AhQzo1zv6iI/cDnP9HfPPNN/PCCy8QFBTU2WH2Cx29F3feeScDBgygoKCAH3/8sbPD7Bc6ci9GjRrF22+/TWlpKQcPHmTt2rWcc845XRFun/fKK6+0azQzPT2dWbNmoVKpgI79/O71ic/xdnv39pwT7fYuvNORe3GkvXv38uGHH3LTTTd1Voj9Skfvx5IlSxg6dCh/+MMfOjvEfqMj92LLli289957JCYmkpOTw7x587jtttu6Itw+rSP34sYbb6Suro7Y2FhSUlJITU1l3rx5XRFun3fkvfCGL35+9/rE53i7vXt7zomOF97pyL1o5XA4uP7667nxxhsZNWpUZ4XYr3TkfuzevZsVK1bw73//u7PD61c6ci9eeeUVTj31VD799FMeffRRvvnmG/71r39JPeJJ6si9eP755zEajRw8eJD8/HxsNhuLFy/u7FBFG3zx87vXJz5H79wOvt/tXXinI/ei1WOPPUZVVRVPPfVUZ4XX77T3fiiKwk033cTjjz9OfHx8V4TYb3Tk78ahQ4c477zzXEP6SUlJREVFkZOT06mx9nUduRerV69m8eLFJCcnk5SUxNKlS3nttdc6O1TRBl/8/O71iY/s9t5zdOReAHzyyScsW7aM999/3zXvLk5ee+9Hfn4+33//PYsXL8ZoNGI0GsnPz2fs2LGsWbOmq8LukzrydyMxMdGtZbquro6qqir5t+okdeReOBwOysrKXI9LSkra3FBbdD6f/PzuQBF2j2K1WpWoqCjl9ddfVxRFUW688UblggsuUBRFUaqrqxWbzeZxzo4dO5TAwEBl586ditlsVsaPH688/fTTXRp3X9SRe5GVlaUEBgYqb7zxhmI2mxWz2ezqthAnp733w2q1Krm5uW6/EhISlM2bNytms7nL4+9LOvJ348svv1QiIiKUr776SsnLy1OuueYaZfTo0a5uFtExHbkXCxYsUAYPHqysXLlSeemll5SBAwcqV155ZZfG3ddxVFdXbW2t0tzc7HFceXm54ufnp2zYsEFpbm5Wfve73ym33XZb+651ssH2BOvWrVMCAgKUiIgIJSoqSsnMzFQUxflFpqWltXnO3/72N0Wv1yshISHKpEmTlIaGhi6MuO9q77248847FcDt14ABA7o26D6sI383jjRgwABpZ/eRjtyLV199VRkyZIji5+enTJ06VcnOzu7CiPuu9t6L6upq5ZprrlGioqIUPz8/5eKLL1bKy8u7OOq+7ejEZ8CAAcqHH37Y5rH//ve/FZ1Op4SFhSmpqalKSUlJu67VZzYpld3ee46O3AvReeR+9BxyL3oOuRe9W25uLtnZ2cyYMaPdy270mcRHCCGEEOJEen1xsxBCCCGEtyTxEUIIIUS/IYmPEEIIIfoNSXyEEEII0W9I4iOEEEKIfkMSHyF6sVWrVqFSqTx+ffXVV16dv3HjRlJSUjo3SOC6665zxRYaGsqll15KaWmpz9774Ycf7rLz2qv1c6vValJTU3nhhf9v715Dotr6OI5/Zxoys3QiUyyrOVmapYVREJY1lSR094IKomIXsjKTSrGi8hJJhCWFGtYLNex+YazQrF4oFUXQWNNNUMsSsTTnhV1MU8+LOPs8PlGO9ZzTY/P/wMaZ7ay1/2v2m9+stWf2oX/8mEKIb5PgI0Q/5+Xlhdls7rHp9fpfXdZXYmNjMZvN3Lt3j87OTmJjY/8n/ebk5JCcnPzV/t5C3bfa/RMqKipobGxk3759JCYmUlZWZlG7/Pz8/8tzKUR/pvnVBQghfs6AAQPQarW/uoxe2djYKPcA27lzJ7Nnz6arqwu1+uc+f/3o/d3+zfvCDR06FCcnJ0JDQ7lw4QI3btxg4cKF/9rxhRB/kxkfIX5jBoMBDw8P7OzsWLBgAQ0NDRa1O3nyJH/88Qd2dnYEBATQ3Nys/K+wsJAJEybg6OjI9u3b+ZHfQNVoNHR2dtLV1QVAdnY2Op0OFxcXUlJSlP3d3d0kJSUxYsQIhg0bRlxc3FfH++8lq8bGRlQqFfPmzaOurk5ZampsbPxuOwB3d/cey4Rbt24lPj4egI6ODpKSknBxcUGn03HmzJk+jxvA1taWDx8+AF9uPBoeHo69vT0jR44kNzcXgDt37qBSqYiJiaG8vByVSsWgQYOUPlpbW1m1ahXDhw/H09OT8vLyH6pFCGskwUeIfs5kMikzKVqtFpPJBIDZbCYsLIxt27ZRXV2Nk5MTe/bs6bW/1tZWoqOjycjI4PHjx2g0GjIzM4EvSzarV6/mwIED3Lhxg4KCAoqKivpUb1tbGzk5Ofj6+qLRaDh//jypqank5+dz5coVioqKlOtgrl69ytGjR7l+/ToVFRUYDIZel4mcnZ0xm81cunSJ0aNHK8t/zs7OvdYWHBxMaWmp8rykpISQkBAAMjIyOHfuHGVlZRw8eJDIyEieP3/ep7FXVVVx+fJlfH19AUhLS6O6uhqTycSZM2fYvHkzDQ0NzJgxA7PZTHZ2NrNmzcJsNve4JmrTpk08fPiQu3fvsmHDBlasWMG7d+/6VIsQ1kqCjxD9nIeHB5WVlcrm4eEBwJAhQ6irqyM8PJyamhrev39PVVVVr/1pNBo0Gg3t7e24uLhQXFxMWloaAMePHycwMJClS5cydepUIiMjKS4utqjO3NxctFotdnZ23Lt3j7y8PADy8vJISEhAr9czbdo0UlJSOHLkCPBldgS+zLZMnjyZ2tpa/P39v3sclUqFVqtlyJAhqNVqJRCqVKpeawwODqakpASAV69e8fbtW2bPnq2MPTExEW9vbwIDA/Hx8VFe2xs/Pz8cHByYNGkSoaGhhIWFAbBt2zZltqampkb5+9fy5eDBg9FoNGi1WhwcHADo6uqiqKiItLQ0xo8fT1xcHDY2NlRUVFhUixDWToKPEP3cwIED0el0yvbXDXe7u7tJTk5m1KhRJCcn09HRQWdnZ6/92dracurUKfLy8nBycmLZsmW8evUKgPr6egwGgxImDh06xMuXLy2qMyIigsrKSpqbm7l//z7u7u7Al4Axbtw45XVubm5Kn3PnziUpKYmYmBicnJyIj4/n06dPfXp/+mL69Ol8+PCBly9fUlpaSmBgoHINUn19PYmJicrY79+/b/HYT58+jcFgQK1WEx8fr/RpNBqZNm0a8+bN49q1a9ja2vZ6jpqammhvbycsLEyppbm52eJahLB2EnyE+E2dOHGCO3fuUFdXx82bN1m6dKlF7VpaWnB2dubmzZu8fv0aR0dHEhISAHB1dWXt2rXK7NKDBw8oKCiwqF97e3t0Oh3Dhg3rsX/MmDHU1tYqz2traxk7dqzyOCgoCJPJxKNHj7h165YyG9QbtVr9Q9cfBQUFUVJSQmlpKcHBwcp+V1dXjh492mPsGzdutKjPkSNHotfrCQkJIT09Xdm/cuVKEhMTqa2tpbCwUAmt3xvDiBEjsLGx4cqVKz1q+c9ahRDfJsFHiN9Ua2sr3d3dtLS0UFJSQnp6ukVB4M2bN+j1ekpLS2lpaQHg8+fPAERFRWEwGGhsbESj0bBjxw527NjxU3WuWbOGrKwsysvLMRqN7N69W/mq+/Xr1wkMDMRoNPLx48cetfRm3LhxNDQ0YDQaqa6uxmg0WtQuJCSE4uJiKisre3yVPCoqioKCAjo6Ovj48SNBQUFcvHixT2NNTU3l7NmzypJja2srbW1tvHjxgtjYWF6/ft3jHLm5uWEymaipqeHJkyc8e/YMtVpNREQEx44dQ61W09TUxPz587l7926fahHCWknwEeI3FR0djU6nw9PTk9TUVNauXcvTp09pa2v7bruJEyeSmZnJunXrcHNzo6qqiv379wNfrlVJTU0lMjIST09P2tvbycnJ+ak6g4OD2bVrF1FRUSxatIiIiAhlJiUmJoa5c+cSEBDAlClTmDBhAuvXr7eoX1dXVzIyMvD392fq1Kncvn3bonYzZ87kwYMH6PV6NJq/f/EjOTkZb29v/Pz8mDNnDosXL2bdunV9Gqu7uzsRERHKrM/hw4fZu3cvM2fOZPjw4Xh5efUIaLNmzSI6OhofHx98fX2VwJSVlcWAAQPw8fFh+fLlbNmyhSVLlvSpFiGslar7R+aChRBCCCH6IZnxEUIIIYTVkOAjhBBCCKshwUcIIYQQVkOCjxBCCCGshgQfIYQQQlgNCT5CCCGEsBoSfIQQQghhNST4CCGEEMJqSPARQgghhNWQ4COEEEIIqyHBRwghhBBW40/dZeCqHu3B3wAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 绘制ROC曲线并计算AUC值\n",
+    "auc_nn = roc_auc_score(y_test, y_pred_nn)\n",
+    "print(f\"神经网络的AUC值为 {auc_nn}\")\n",
+    "fpr_nn, tpr_nn, thresholds = roc_curve(y_test, y_pred_nn)\n",
+    "plt.plot(fpr_nn, tpr_nn, label=\"神经网络: \"+str(round(auc_nn, 3)))\n",
+    "plt.plot(fpr_dt, tpr_dt, label=\"决策树: \"+str(round(auc_dt, 3)))\n",
+    "plt.plot(fpr_lr, tpr_lr, label=\"对数几率模型: \"+str(round(auc_lr, 3)))\n",
+    "plt.xlabel('False Positive Rate')\n",
+    "plt.ylabel('True Positive Rate')\n",
+    "plt.title('ROC')\n",
+    "plt.xlim([0,1])\n",
+    "plt.ylim([0,1.1])\n",
+    "plt.grid()\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "# 6、支持向量机\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-4 {color: black;background-color: white;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SVC(C=100, gamma=1)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" checked><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SVC</label><div class=\"sk-toggleable__content\"><pre>SVC(C=100, gamma=1)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "SVC(C=100, gamma=1)"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn import svm\n",
+    "params_svm = {'kernel':['rbf','linear'], 'gamma':[10,1,0.1,1e-2], 'C':[1,100,1e4]}\n",
+    "# 支持向量机训练模型\n",
+    "base_line_model = svm.SVC() # 默认 kernel='rbf'\n",
+    "svc = GridSearchCV(estimator=base_line_model, param_grid=params_svm, cv=5, n_jobs=3)\n",
+    "svc.fit(x_train, y_train)\n",
+    "y_pred_svm = svc.predict(x_test)\n",
+    "svc.best_estimator_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "支持向量机模型在 训练集 上的性能 -- \n",
+      "Support Vector Machinen | 准确率: 0.8411\n",
+      "Support Vector Machinen | 均方误差: 0.1589\n",
+      "Support Vector Machinen | R2-score: 0.3269\n",
+      "Support Vector Machinen | 混淆矩阵：\n",
+      " [[348  37]\n",
+      " [ 62 176]]\n",
+      "\n",
+      "\n",
+      "\n",
+      "支持向量机模型在 测试集 上的性能 -- \n",
+      "Support Vector Machine | 准确率: 0.8507\n",
+      "Support Vector Machine | 均方误差: 0.1493\n",
+      "Support Vector Machine | R2-score: 0.3715\n",
+      "Support Vector Machine | 混淆矩阵：\n",
+      " [[151  13]\n",
+      " [ 27  77]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 模型性能评估\n",
+    "print(\"支持向量机模型在 训练集 上的性能 -- \")\n",
+    "model_performance_evaluation('Support Vector Machinen', y_train, svc.predict(x_train))\n",
+    "print(\"\\n\"*2)\n",
+    "print(\"支持向量机模型在 测试集 上的性能 -- \")\n",
+    "model_performance_evaluation('Support Vector Machine', y_test, y_pred_svm)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "该支持向量机模型的AUC值为 0.8305581613508443\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# 绘制ROC曲线并计算AUC值\n",
+    "auc_svm = roc_auc_score(y_test, y_pred_svm)\n",
+    "print(f\"该支持向量机模型的AUC值为 {auc_svm}\")\n",
+    "fpr_svm, tpr_svm, thresholds = roc_curve(y_test, y_pred_svm)\n",
+    "plt.plot(fpr_svm, tpr_svm, label=\"支持向量机: \"+str(round(auc_svm, 3)))\n",
+    "plt.plot(fpr_nn, tpr_nn, label=\"神经网络: \"+str(round(auc_nn, 3)))\n",
+    "plt.plot(fpr_dt, tpr_dt, label=\"决策树: \"+str(round(auc_dt, 3)))\n",
+    "plt.plot(fpr_lr, tpr_lr, label=\"对数几率模型: \"+str(round(auc_lr, 3)))\n",
+    "plt.xlabel('False Positive Rate')\n",
+    "plt.ylabel('True Positive Rate')\n",
+    "plt.title('ROC')\n",
+    "plt.xlim([0,1])\n",
+    "plt.ylim([0,1.1])\n",
+    "plt.grid()\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "## 由上述结果可以看到，决支持向量机的分类准确率最高"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/大众点评数据集分析/组员名称 b/大众点评数据集分析/组员名称
index d64a942..81324ab 100644
--- a/大众点评数据集分析/组员名称
+++ b/大众点评数据集分析/组员名称
@@ -1,7 +1,7 @@
 田熠 强基数学001
 李毓曈 强基数学001
 马启越 强基数学001
-钟梦原 强基数学002
+钟孟原 强基数学002
 吴铭竑 强基数学001
 张君瑶 应数001
 李冬旭 应数001
\ No newline at end of file
diff --git a/水稻叶片病害分类/数据集链接 b/水稻叶片病害分类/数据集链接
new file mode 100644
index 0000000..a92f89a
--- /dev/null
+++ b/水稻叶片病害分类/数据集链接
@@ -0,0 +1 @@
+https://tianchi.aliyun.com/dataset/127081
\ No newline at end of file
diff --git a/车辆12分类数据集/第11组--张朋飞/.keep b/车辆12分类数据集/第11组--张朋飞/.keep
new file mode 100644
index 0000000..e69de29
diff --git a/车辆12分类数据集/第11组--张朋飞 b/车辆12分类数据集/第11组--张朋飞/成员分工
similarity index 66%
rename from 车辆12分类数据集/第11组--张朋飞
rename to 车辆12分类数据集/第11组--张朋飞/成员分工
index 1ee95aa..0cbcf97 100644
--- a/车辆12分类数据集/第11组--张朋飞
+++ b/车辆12分类数据集/第11组--张朋飞/成员分工
@@ -4,5 +4,5 @@
 王政 统计001 组员
 李俊 统计001 组员
 王宪宝 统计001 组员
-韩飞澈 信计001 组员
-如斯太木·艾尼瓦尔 统计001 组员
\ No newline at end of file
+如斯太木·艾尼瓦尔 统计001 组员
+韩飞澈 统计001 组员
\ No newline at end of file
diff --git a/车辆12分类数据集/第15组 b/车辆12分类数据集/第15组
deleted file mode 100644
index 2ae4957..0000000
--- a/车辆12分类数据集/第15组
+++ /dev/null
@@ -1,10 +0,0 @@
-
-15
-
-蓝追航	强基数学001 组员
-陈江河	强基数学001 组长
-陈骞	强基数学002 组员
-洪坤	强基数学001 组员
-孙寿增	强基数学001 组员
-毕景堃	信计001 组员
-张未阳	统计001 组员
diff --git a/车辆12分类数据集/第15组/.keep b/车辆12分类数据集/第15组/.keep
new file mode 100644
index 0000000..e69de29
diff --git a/车辆12分类数据集/第15组/第15组 b/车辆12分类数据集/第15组/第15组
new file mode 100644
index 0000000..1bc9efb
--- /dev/null
+++ b/车辆12分类数据集/第15组/第15组
@@ -0,0 +1,10 @@
+
+第15组分工
+
+1 陈江河
+2 陈骞
+3 洪坤
+4 蓝追航
+5 孙寿增
+6 毕景堃
+7 张未阳
\ No newline at end of file
diff --git a/车辆12分类数据集/第15组/第15组平时作业/.keep b/车辆12分类数据集/第15组/第15组平时作业/.keep
new file mode 100644
index 0000000..e69de29
diff --git a/车辆12分类数据集/第15组/第15组平时作业/15组平时作业.zip b/车辆12分类数据集/第15组/第15组平时作业/15组平时作业.zip
new file mode 100644
index 0000000..68c48d6
Binary files /dev/null and b/车辆12分类数据集/第15组/第15组平时作业/15组平时作业.zip differ