TonyPepeBear/main.ipynb

## main.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# 教育部閩南語語言能力認證-各年齡層報名及通過人數\n",
    "\n",
    "Data from: https://data.gov.tw/dataset/160222\n"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Init Project"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "plt.rcParams['font.family'] = 'STHeiti'"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-05-13T14:33:12.583073Z",
     "start_time": "2023-05-13T14:33:11.780369Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 讀取資料"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "data": {
      "text/plain": "     年度     年齡層  卷別  報名人數  到考人數  通過人數\n0   111    0~6歲  A卷    13    10     1\n1   111    0~6歲  B卷     0     0     0\n2   111    0~6歲  C卷     0     0     0\n29  111   7~12歲  C卷     6     3     0\n28  111   7~12歲  B卷    85    65    15\n27  111   7~12歲  A卷  4495  3195  1526\n4   111  13~15歲  B卷   179   147    48\n3   111  13~15歲  A卷  1563  1118   814\n5   111  13~15歲  C卷     6     1     0\n6   111  16~18歲  A卷   457   302   268\n7   111  16~18歲  B卷   243   160    75\n8   111  16~18歲  C卷    18    13     2\n9   111  19~22歲  A卷   185   134   129\n10  111  19~22歲  B卷   376   294   189\n11  111  19~22歲  C卷    35    29     8\n12  111  23~30歲  A卷   287   190   179\n13  111  23~30歲  B卷  1361   878   520\n14  111  23~30歲  C卷    76    55    14\n16  111  31~40歲  B卷  2454  1586  1106\n17  111  31~40歲  C卷   155   113    39\n15  111  31~40歲  A卷   464   319   311\n19  111  41~50歲  B卷  3564  2518  1969\n20  111  41~50歲  C卷   335   254    67\n18  111  41~50歲  A卷   492   345   332\n21  111  51~60歲  A卷   215   151   144\n22  111  51~60歲  B卷  1666  1233   981\n23  111  51~60歲  C卷   295   234    75\n24  111  61~70歲  A卷    64    50    47\n25  111  61~70歲  B卷   264   211   162\n26  111  61~70歲  C卷    73    58    11\n31  111   71歲以上  B卷    32    27    11\n30  111   71歲以上  A卷    18    14    12\n32  111   71歲以上  C卷    11     9     0",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>年度</th>\n      <th>年齡層</th>\n      <th>卷別</th>\n      <th>報名人數</th>\n      <th>到考人數</th>\n      <th>通過人數</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>111</td>\n      <td>0~6歲</td>\n      <td>A卷</td>\n      <td>13</td>\n      <td>10</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>111</td>\n      <td>0~6歲</td>\n      <td>B卷</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>111</td>\n      <td>0~6歲</td>\n      <td>C卷</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>111</td>\n      <td>7~12歲</td>\n      <td>C卷</td>\n      <td>6</td>\n      <td>3</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>111</td>\n      <td>7~12歲</td>\n      <td>B卷</td>\n      <td>85</td>\n      <td>65</td>\n      <td>15</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>111</td>\n      <td>7~12歲</td>\n      <td>A卷</td>\n      <td>4495</td>\n      <td>3195</td>\n      <td>1526</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>111</td>\n      <td>13~15歲</td>\n      <td>B卷</td>\n      <td>179</td>\n      <td>147</td>\n      <td>48</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>111</td>\n      <td>13~15歲</td>\n      <td>A卷</td>\n      <td>1563</td>\n      <td>1118</td>\n      <td>814</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>111</td>\n      <td>13~15歲</td>\n      <td>C卷</td>\n      <td>6</td>\n      <td>1</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>111</td>\n      <td>16~18歲</td>\n      <td>A卷</td>\n      <td>457</td>\n      <td>302</td>\n      <td>268</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>111</td>\n      <td>16~18歲</td>\n      <td>B卷</td>\n      <td>243</td>\n      <td>160</td>\n      <td>75</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>111</td>\n      <td>16~18歲</td>\n      <td>C卷</td>\n      <td>18</td>\n      <td>13</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>111</td>\n      <td>19~22歲</td>\n      <td>A卷</td>\n      <td>185</td>\n      <td>134</td>\n      <td>129</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>111</td>\n      <td>19~22歲</td>\n      <td>B卷</td>\n      <td>376</td>\n      <td>294</td>\n      <td>189</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>111</td>\n      <td>19~22歲</td>\n      <td>C卷</td>\n      <td>35</td>\n      <td>29</td>\n      <td>8</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>111</td>\n      <td>23~30歲</td>\n      <td>A卷</td>\n      <td>287</td>\n      <td>190</td>\n      <td>179</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>111</td>\n      <td>23~30歲</td>\n      <td>B卷</td>\n      <td>1361</td>\n      <td>878</td>\n      <td>520</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>111</td>\n      <td>23~30歲</td>\n      <td>C卷</td>\n      <td>76</td>\n      <td>55</td>\n      <td>14</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>111</td>\n      <td>31~40歲</td>\n      <td>B卷</td>\n      <td>2454</td>\n      <td>1586</td>\n      <td>1106</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>111</td>\n      <td>31~40歲</td>\n      <td>C卷</td>\n      <td>155</td>\n      <td>113</td>\n      <td>39</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>111</td>\n      <td>31~40歲</td>\n      <td>A卷</td>\n      <td>464</td>\n      <td>319</td>\n      <td>311</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>111</td>\n      <td>41~50歲</td>\n      <td>B卷</td>\n      <td>3564</td>\n      <td>2518</td>\n      <td>1969</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>111</td>\n      <td>41~50歲</td>\n      <td>C卷</td>\n      <td>335</td>\n      <td>254</td>\n      <td>67</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>111</td>\n      <td>41~50歲</td>\n      <td>A卷</td>\n      <td>492</td>\n      <td>345</td>\n      <td>332</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>111</td>\n      <td>51~60歲</td>\n      <td>A卷</td>\n      <td>215</td>\n      <td>151</td>\n      <td>144</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>111</td>\n      <td>51~60歲</td>\n      <td>B卷</td>\n      <td>1666</td>\n      <td>1233</td>\n      <td>981</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>111</td>\n      <td>51~60歲</td>\n      <td>C卷</td>\n      <td>295</td>\n      <td>234</td>\n      <td>75</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>111</td>\n      <td>61~70歲</td>\n      <td>A卷</td>\n      <td>64</td>\n      <td>50</td>\n      <td>47</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>111</td>\n      <td>61~70歲</td>\n      <td>B卷</td>\n      <td>264</td>\n      <td>211</td>\n      <td>162</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>111</td>\n      <td>61~70歲</td>\n      <td>C卷</td>\n      <td>73</td>\n      <td>58</td>\n      <td>11</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td>111</td>\n      <td>71歲以上</td>\n      <td>B卷</td>\n      <td>32</td>\n      <td>27</td>\n      <td>11</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>111</td>\n      <td>71歲以上</td>\n      <td>A卷</td>\n      <td>18</td>\n      <td>14</td>\n      <td>12</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td>111</td>\n      <td>71歲以上</td>\n      <td>C卷</td>\n      <td>11</td>\n      <td>9</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 讀取資料\n",
    "data = pd.read_csv('data.csv', encoding='utf-8')\n",
    "\n",
    "# 定義年齡層的順序\n",
    "age_order = ['0~6歲', '7~12歲', '13~15歲', '16~18歲', '19~22歲', '23~30歲', '31~40歲', '41~50歲', '51~60歲', '61~70歲', '71歲以上']\n",
    "\n",
    "# 將年齡層變成有序的類別型變量\n",
    "data['年齡層'] = pd.Categorical(data['年齡層'], categories=age_order, ordered=True)\n",
    "\n",
    "# 根據年齡層進行排序\n",
    "data.sort_values('年齡層', inplace=True)\n",
    "\n",
    "# 顯示資料\n",
    "data\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-05-13T14:33:12.599284Z",
     "start_time": "2023-05-13T14:33:12.584633Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 各年齡層的到考人數"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x600 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 根據年齡層進行分組並計算每個年齡層的到考人數\n",
    "grouped_arrivals = data.groupby('年齡層').agg({'到考人數': 'sum'})\n",
    "\n",
    "# 設定圖形大小\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "# 創建條形圖，年齡層為 x 軸，到考人數為 y 軸\n",
    "plt.bar(grouped_arrivals.index, grouped_arrivals['到考人數'])\n",
    "\n",
    "# 為每個條形添加數值標籤\n",
    "for i, value in enumerate(grouped_arrivals['到考人數']):\n",
    "    plt.text(i, value, str(value), ha='center', va='bottom')\n",
    "\n",
    "# 為 x 軸和 y 軸添加標籤\n",
    "plt.xlabel('年齡層')\n",
    "plt.ylabel('到考人數')\n",
    "\n",
    "# 為圖形添加標題\n",
    "plt.title('各年齡層的到考人數')\n",
    "\n",
    "# 顯示圖形\n",
    "plt.show()\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-05-13T14:33:12.741764Z",
     "start_time": "2023-05-13T14:33:12.603210Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 各年齡層的總通過率"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x600 with 1 Axes>",
      "image/png": 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2djb1v/vuO+upaLeVLFnSelNZ6dZ1MiNGjLCe+nbbP++FJN1aSe/YsWOaOnWqPDw89Nxzz0mSPv/8c40cOVJffvmlVq5cqZIlS1oD2m2RkZE6ceKE/P39JUk7d+7U5cuX1atXr2TH8Pfff+utt97SmDFj7jk2/5QtWzYtXrxY0q2gFR0dfdeAFBMTI0natm2bKleurDlz5mjMmDE6ceKEfv/9d02aNMm6wt6dxMbGSrp1TVFYWJh1cYvbi0PExcXZnGK3cuVKvf7665JuBagsWbLI0dFR9vb2ioyMVNeuXdWzZ09rULx9PyQ3N7cU76kEAEiOgAQAuKO33npLHTt2lIuLi5ycnOTg4GD9wh4XFydnZ2d9/vnn1puyJiYmKj4+XjExMdbrbG4Hp71792rKlCn6+OOPVapUKS1btkyS1L59e+3cuVN16tSRvb29Nm/enOy6m9s3h3322Wcl3boGaNu2bTp+/HiyPsfFxUmSzfVL0q0ZnW+++UbffPNNsvJ/O3HihCTd9RS7f6+QFxcXZw0hs2fP1uLFixUYGJhsv5CQEF26dEl79+61XsdVuXJlXbhwwVonJiZG//vf/7R7926ba8Fq1KihvXv3ytXVVS4uLnJ0dJSjo6McHByUL18+jR07Vq+//rqMMYqPj1d8fLyio6NZ5hsA7gMBCQD+Y2bOnKmZM2emqu7dZlASEhJs/ivdmtVwcHCQi4uLtSwyMlK//fabsmbNqo0bN0qSTp8+LScnJ3l7eytbtmz66quv9NJLL6lr165q27atZs6cqZdfftna/ujRo1WlShWbdlu0aJHiTNiRI0dUpkyZZOWRkZGqW7eudaGFZcuW6b333tPNmzet922aMWOGJk6cqLNnz0qSihcvLulW8Js9e7bGjRsnPz8/derUSaVKlVKpUqX0119/WVe4K1eunI4ePary5curQ4cOqlevnrZs2aIXXnhBwcHB6tixo3788UflzJlTzzzzjF544QXly5dPmzZtUu7cueXq6ioHBwclJiaqVKlSKly4sAIDA3XixAkVK1ZMnp6e8vT0THZst1cQdHJysp4iCAB4MAQkAPgPiYqKUrt27TR+/PgUt3t5eVlPHbuX26eH3f7vnVSqVEm//fabfHx8lC1bNrm5ucnOzk6bN2+2Wd66Q4cOeuqpp9SkSRMtXLjQGpC2bt2qoKAgLV261Fo3Pj5eixcv1ooVK5K93j+D2z9nkSIiIuTv7y8/Pz9JUuHChVWkSBGb/rds2VLvvPOOChUqpO7du1tnrBwcHPTXX3+padOmGjNmjOLj47Vy5Up9++23Gjx4sC5cuGC9JmvdunXW9r7++mvVr19fL7zwgg4cOKA9e/Zo/fr1qlmzps6cOaMvv/xSixcvtt5MNzIy0uZURXt7ey1fvlzr1q1TsWLF7jjGUVFRNv8FADw4O8OVmwDwnxEQEKAaNWrc8RqkihUrqnfv3mrbtu092zp79qwKFiyoYcOG6cMPP0yzPu7Zs0elS5e2mS06dOiQypYta31et25d+fj4pHgcf/75p2rXrq1du3YpV65c9/36SUlJ1nsc/ZsxJtnpf7fLY2JiFBcXJ3t7e2XJkkXOzs7J6qZmZbzbiz2ktEjDnVy4cEE+Pj4aPny4Pvjgg1TvBwBIjoAEAAAAABbcKBYAAAAALAhIAAAAAGBBQAIAAAAACwISAAAAAFg8sct8JyUl6eLFi3J3d09xxSEAAAAA/w3GGEVERCh//vx3XKn0tic2IF28eFG+vr4Z3Q0AAAAAmcS5c+fk4+Nz1zpPbEC6fVf0c+fOycPDI4N7AwAAACCjhIeHy9fX15oR7uaJDUi3T6vz8PAgIAEAAABI1aU3LNIAAAAAABYEJAAAAACwICABAAAAgAUBCQAAAAAsCEgAAAAAYEFAAgAAAAALAhIAAMBjYvDgwXJwcJCjo6McHR1VunRp67YqVapYyx0dHdWjR487tvPBBx/IwcFBdevWtSkPDg5WnTp15OTkJDs7O+treXh4KFeuXKpQoYISEhLS7fiAzICABAAA8Jg4evSoNm7cqISEBCUkJOjIkSPWbX/++adiYmKs26ZOnXrHdj788ENt2LAhWXm/fv1UrVo1hYeHa+zYsWrYsKESEhIUHh6uwMBAzZo1S46OT+xtNAFJBCQAAIDHxtGjR1W8ePFk5RcuXJCnp+dDh5c9e/aoR48ecnFxUbdu3XT8+HFJ0oIFC1SiRAk988wzD9V+WrnbTNo/DRw48I5tREREqFu3bsqbN6/y58+vQYMGKT4+XhIzaf91BCQAyMTS4kvASy+9ZHPajaOjo+zs7PT9998rOjparVu3VtasWWVnZyd7e3s5OjrKzc1NXl5e8vb2Vnh4eHodHoD7EBMTo9DQUOXNmzfZtmPHjikgIOChXyMwMFDTp09XTEyMpk+frmrVqikkJEQTJ07UqFGjHrr9tHK3mbTbZs6cqVWrVt2xjc6dOyspKUlBQUHas2ePjhw5oo8++kgSM2n/dQQkAMjE0uJLwIYNG6z7JyQkaNu2bSpTpowaNmyoMWPGKEeOHLp+/boWL15s/atoZGSk6tWrp8mTJ8vDwyM9DxFAKgUFBSkyMlK+vr7y8fHRgAEDrDMeR48e1bZt25Q7d24VL15cCxcufKDXGD9+vLZs2aJ8+fJp+/btGjVqlPr376+hQ4fK3d09LQ/nodxpJu22v/76S/3797/j9qioKG3atEnTpk1Tzpw5lT9/fs2fP1/z58+X9PjMpCF9EJAAIBN72C8BKfnoo480ePBg2dnZac+ePXrrrbfk6uqq5s2b6/r165KkX3/9VdevX1eTJk0eqv8A0o6bm5t++eUXnThxQjt27NDRo0c1fPhwSVLFihX166+/6uLFi/rqq680YsQIrV+//r5fw8vLS6tWrVJoaKhWrFihI0eOKDg4WI0bN07jo3lwd5tJk6TExES1adNGvXr1umMbSUlJMsYkKw8JCZH0+MykIX0QkAAgk0qLLwH/tm/fPp06dUqvv/66JFlPFYmOjtaSJUtUsmRJxcXF6d1339WUKVPS5DgApI2iRYuqSpUqcnV1la+vrxYuXKjZs2dLkqpWraqSJUvKyclJFStW1KeffqoZM2Y81OvFx8erX79+mjJlihYvXqxixYqpbNmy2rRpU1oczgO720yaJH388cfKkyePOnfufMc2smXLpmeeeUa9evVSaGioLl68qHbt2un555+X9PjMpCF9EJAAIJNKiy8B/zZy5Ei9//77sre/9eN/wIABCg0Nlbe3t2bMmKEZM2Zo7NixatGihQoUKJDmxwQg7eTMmVPGGEVHRyfbVrhwYZ0/f/6h2h87dqyaN2+u+Ph4jRkzRtu2bdN3332nbt26KSIi4qHafhh3m0nbu3evZs2apS+++OKe7cyfP1/BwcHy9/fX008/rdWrV+v999+X9HjMpCH9EJAAIJNKqy8Btx05ckSHDx9Wy5YtrWVZs2bVwoULFRISos2bNysuLk5r165Vnz590vpwADyEvXv36q233rIpCwoKkouLixYtWqSZM2fabNu2bZuKFSv2wK938uRJrV27Vr1799a+fftUq1Yt5cmTR/7+/ipTpoz1mpyMcKeZtOjoaLVp00bTp0+Xl5fXPdvx8vLSt99+q+vXryswMFCdOnVS1apVk9XLrDNpSEfmCRUWFmYkmbCwsIzuCgCkiZCQEOPl5WWioqJMiRIlzI8//miMMeb06dOmVKlS99y/efPm5osvvrhrnVdffdXs3r3b/PLLL6ZMmTKmaNGiZsmSJWnSf+Bhvf/++8be3t44ODgYBwcH6/v+l19+MeXKlTNubm6mSpUqZt++fXds4/Lly6Z58+YmV65cpmDBgubTTz+1bjt58qR57rnnjIODg5Fk7O3tjaOjo8mePbvx8PAwdevWTfdjvJOoqChTsGBBM3XqVBMdHW0OHDhgypYta6ZMmWL2799v8uTJYzZv3myio6PNypUrTe7cuc3+/fuNMcZcv37dVKlSxZw4ccKmzU2bNpk6deqk+Hqvvfaa2bNnjzHGmKCgIFOiRAlz/vx5c/ToUVOoUCETGhqanod733Lnzm369u1rHB0djbOzs3F2djZOTk7Gzs7OODs7mxs3btxx32XLlpn8+fPfsc7IkSPNhAkTzMmTJ025cuXMlStXzJ9//mkCAgJMeHh4eh0S0tj9ZAMCEgA8Rh70S8CJEydMoUKFTFxc3B3b/uqrr0zv3r1NeHi4KVasmDl58qS5fPmyKVu2rDl58mR6HRKQag0aNDCbN2+2KTtz5ozx8vIyP//8s4mNjTXLli0z3t7e5ubNm8n2T0pKMpUrVzYffvihiYiIMCdOnDCVKlUyc+bMMcYYU716dbNo0SITFRVlevXqZd555x1jjDGxsbEmMDDQ/P333+l/kHdx5MgRU716dZM1a1bj4+NjRo8ebZKSkowxxqxYscKULFnSODs7mzJlypgffvjBut+FCxeMp6en2b17t017dwpIX3/9tenTp49N2cyZM03evHlNwYIFrX+cyQh79uwxXbt2tSn7448/jI+PT7K6qfnjUUREhPHx8bEZr3/666+/TJUqVUxCQoJZunSp6devn3Vb06ZNk40pMi8CkiEgAXi8pfWXgPbt25upU6fecXtISIgJDAw04eHhZvfu3aZp06bWbf369TNLly69zyMA0p6/v7+5fPmyTdnBgwfN6tWrbcrKlSuX4hfXoKAgU65cOZuyffv2mapVqxpjjClYsKC1/PDhw9bw8OGHH9rMND3pZsyYYSIiIjK6Gym620zav/37Z2NKM2lvv/22adGixR1f73GbScOd3U824BokAMiESpYsqXXr1mnatGmKiYnRwYMH1axZMw0YMOCe+4aEhKhq1ar6888/JUlnzpzRxo0b1alTpzvuM3DgQA0ZMkTu7u7y9/fXnj179Mcff+j8+fNas2aNypYtm2bHBjyIO63qWLZsWb322muSpIiICE2bNk1hYWEqWbJksjYSExNlZ2eXrDw0NFSSVLBgQS1ZskTR0dGaNWuWqlWrpj///FPr1q37T12X17VrV2XLli2ju5EiV1dXrV69WkuXLpWnp6fq1q2rFi1aqEePHvfcNyYmRkFBQQoLC7OW5c+fX5MnT06x/uLFi1W0aFEFBgZKkgICAtS3b18FBgbqtdde0+TJk5UjR440OS5kLtwCGAAyodtfAnr27Kn33ntPuXLlUo8ePR7oS8DBgwc1aNAgOTs7p1j/t99+07Vr19SwYUNJUo4cOTRp0iTVrl1bMTExGjVq1ENd7A2khX+u6miMUatWrTRy5EhlyZJFkhQWFmb9sjpr1ixlzZo1WRsBAQFKTEzUqFGj1KdPH12+fFndunVTtWrVJElz5sxRhw4d1L17dzVo0EB9+vRR/fr1NXnyZDk4OKTr8fkNXJ2u7WeEM5/USZd2S5UqlaoFEvz8/Gxurp0/f34FBwfb1OnXr98d9w8PD9fIkSNtyrp06aIuXbrcZ4/xuLEzJoW7ZD0BwsPDlT17doWFhXEXeAC4iyVLlqhq1ary8fHJ6K4Ad/Tnn3/q6tWrevrppxUcHKxu3bqpXLlyNjftDAsL0y+//KLevXtr8eLF1uDzT6dOnVK3bt20a9cuOTo6KiIiQkePHlWRIkWS1f3qq6+0e/duTZo0KV2PTSIgAentfrIBAQkAADx2QkNDFRAQoKtXrybb9vXXX2vp0qX6/vvv77h/QkKCAgMD9cYbb2jw4MEptl+zZk1t3rxZs2fP1ueffy4vLy/Nnj07XU45JSDd8qSNAyEx87ifbMApdgCQAZ60LwESXwTwaN2+SerBgwdVtGhRm1PqypUrd8frSm6bNGmS7O3t73hdX//+/TVkyBAdOHBAq1at0qFDh3Ts2DG1atVKhw8fTtNjAZC5sEgDAADI1O52k9TPP/9cixYtstm2e/fuFBdpuO3cuXMaOXKkvvzySzk6Jv9b8fbt2xUcHKxGjRrp999/V5MmTZQtWzY9++yzcnFxSXYdC4AnCwEJAABkandb1bFnz54aOXKkfvvtN8XGxmrDhg0aNmyYdWboxIkTqlq1qnWlOknq06ePunXrpgoVKiR7rfj4ePXr109TpkyRJJUvX15LlixRSEiItm3bprCwMHl6ej6aAweQITjFDgAAZGp3W9XRzs5O06dP11tvvaU///xTxYsX19y5cxUQECDp1nUHQUFBioqKUs6cOZWUlKTy5cvf8dS68ePHq1mzZtZFS2rWrKlt27apaNGiyps3rxYuXJjiUuEAnhws0gAAGYBrkIDMxxijyZMnq2fPnum+rPe/8TPhlidtHPi5mHmwSAMAAMB9srOz+0/dEBZAyghIAAAgQzFrACAzYZEGAAAAALAgIAEAAACABQEJAAAAACwISAAAAABgQUACAAAAAAsCEgAAAABYEJAAAAAAwIKABAAAAAAWBCQAAAAAsCAgAQAAAIAFAQkAAAAALAhIAAAAAGBBQAIAAAAACwISAAAAAFgQkAAAAADAgoAEAAAAABYEJAAAAACwICABAAAAgAUBCQAAAAAsCEgAAAAAYEFAAgAAAAALAhIAAAAAWBCQAAAAAMCCgAQ8BsaNG6fg4GBJ0vr16xUYGCh3d3c999xz2rt37x33Cw4OVrNmzZQjRw4VLFhQkydPtm47deqUqlSpIkdHR9nZ2cnBwUFZsmRRjhw5lD17dtWrVy/djwsAACCzISABmdyhQ4c0dOhQSdLBgwfVsWNHTZgwQdeuXdN7772nhg0b6tq1aynu265dOz311FO6cOGCNm7cqHnz5mnp0qWSpE6dOqlHjx6KiIhQr1691LdvX8XHx+vq1asqWrSopk6d+siOEQAAILPIFAFp8ODBcnBwkKOjoxwdHVW6dGlJ0h9//KGqVavK1dVVpUqV0po1azK4p8CjFRcXpzZt2ighIUGStGTJEr377rt64YUX5OLiokaNGqlx48b64Ycfku2bmJiol19+WZ9++qnc3NxUpEgRtW3bVlu2bJEknT59Wi1btpSrq6u6dOmi48ePS5I++eQTtWzZUgUKFHh0BwoAAJBJZIqAdPToUW3cuFEJCQlKSEjQkSNHFBsbq9dee00tWrRQWFiYZsyYoc6dO+vw4cMZ3V3gkRk8eLDKlCkjHx8fSbdCT0pCQ0OTlTk4OKhPnz5ydHRUQkKCfv/9d82YMUMvv/yyJKlgwYJasmSJoqOjNWvWLFWrVk1//vmn1q1bpz59+qTfQQEAAGRimSYgFS9e3Kbsu+++U+nSpdWjRw85OTnp+eef17BhwzRu3LgM6iXwaP36669atmyZzalujRs31rhx47Rt2zbFxsbq+++/t4abu3n99ddVuXJl5c+fX6+++qokac6cOZo6daq8vb0VERGhPn36qGfPnpo8ebIcHBzS9dgAAAAyqwwPSDExMQoNDVXevHltyrdu3aoGDRrYlDVt2lQbNmx4lN0DMkR4eLjat2+vuXPnKnv27NbyypUra9y4cerUqZN8fX3VokULVa1aVc8+++xd2/v222918OBBOTs7q0ePHpIkf39/bd26VSEhIZo7d66WLl2q4sWLq2LFiul6bAAAAJlZhgekoKAgRUZGytfXVz4+PhowYIDi4+N19uxZ+fv729TNnTu3YmJiFBsbm0G9BR6N3r17q0mTJqpevXqybS1bttTx48f1448/ytHRUdOmTbtne1myZFHZsmW1bNkyrVixQiEhITbbQ0NDNXHiRI0cOVITJkxQ4cKFValSJR06dCitDgkAAOCxkOEByc3NTb/88otOnDihHTt26OjRoxo+fLiio6OVNWvWZPVdXV0VHR2drDw2Nlbh4eE2D+BxtHLlSi1atEhTpkyRi4uLXFxc9Pfff8vHx0c//vijpFvXIr311lsaPny4ihYtmmI7ly5d0unTp23K3Nzc5Ofnp6tXr9qU9+/fX0OGDNGBAwe0atUqHTp0SFOmTFGrVq3S5yABAAAyqQwPSEWLFlWVKlXk6uoqX19fLVy4ULNnz5arq6tiYmKS1Q8JCUkxOI0ePVrZs2e3Pnx9fR9F94E016BBA8XHxysmJsb6KFiwoM6fP2+9N9HkyZOVJUsWvf3223ds59SpU2rdurVNWXh4uM6ePavChQtby7Zv367g4GA1atRIv//+u5o0aaJs2bLp2WeflYuLi/X+SwAAAP8FGR6Q/i1nzpwyxsjLyyvZX78vX76sXLlyycnJKdl+gwYNUlhYmPVx7ty5R9Vl4JG6cOGCRo0apS+//DLZYgonTpxQ1apVFRoaqv/9739KSkrSJ598ops3b+rcuXNq1aqVunXrZv0MxcfHq1+/fpoyZYokqXz58lqyZIlCQkK0bds2hYWFydPT85EfIwAAQEbJ0IC0d+9evfXWWzZlQUFBcnFxUa1atbRu3TqbbcuWLVPNmjVTbMvZ2VkeHh42D+BJFBUVpTFjxljvF/ZP4eHhCgoKUlRUlOzt7bV8+XLt3r1bPj4+qlixosqVK2e96awkjR8/Xs2aNbMuI16zZk299NJLKlq0qLp06aKFCxfKzs7ukR3b3YwbN846m3Xw4EFVr15d7u7uKlu2rH766ae77vvBBx/IwcFBdevWtSkPDg5WnTp15OTkJDs7O+v92Dw8PJQrVy5VqFDBeg8qAADw35ChAalkyZJat26dpk2bppiYGB08eFDNmjXTgAED1LhxY+3atUsLFixQfHy8duzYobFjx+q9997LyC4DGeLMmTPKnTu3pFunpXbq1CnFehUrVlRwcLC8vb0lSfnz59fy5ct148YNXblyRSNHjrTOOhljlDVrVvXq1cumjeHDh+v69es6duyYKlWqlI5HlXqHDh2yBrvIyEg1aNBAffv21fXr17Vo0SK999571hvdpuTDDz9McQXMfv36qVq1agoPD9fYsWPVsGFDJSQkKDw8XIGBgZo1a5YcHR3T7bgAAEDmk6EBydXVVatXr9bSpUvl6empunXrqkWLFurRo4dcXFz0448/atasWXJ3d1enTp00a9YslSpVKiO7DDwx7Ozs1KdPn0x/z6O4uDi1adPGOpPzxx9/yNfXVw0bNpSTk5PKlCmjBg0aaO3atffd9p49e6w/b7p162YNWQsWLFCJEiX0zDPPpOmxAACAzC/D/zRaqlQpbdq0KcVtJUuW1LZt2x5xj4D05TdwdUZ3IU2d+aROurY/ePBglSlTRmFhYZJu/cy4cuWKFixYoGbNmunQoUOaN2+exo4de99tBwYGavr06erVq5emT5+uatWqKSQkRBMnTtSvv/6a1ocCAAAeA5lukQYAuO3XX3/VsmXLNHXqVGuZq6ur5s2bp06dOsnFxUXPPvusKlWqpNdff/2+2x8/fry2bNmifPnyafv27Ro1apT69++voUOHyt3dPS0PBQAAPCYISAAypfDwcLVv315z585V9uzZreVnz55VixYtNHfuXN28eVO///678uXLp4iIiPt+DS8vL61atUqhoaFasWKFjhw5ouDgYDVu3DgtDwUAADxGCEgAMqXevXurSZMmql69uk35hAkT9Oabb6p169Zyc3PTs88+qzZt2ujNN998qNf755LnixcvVrFixVS2bNk7ngIMZJTbKzpu2bJFjo6ONg8HBweVL19exph7trNz506tWLFCkhQdHa3WrVsra9assrOzk729vRwdHeXm5iYvLy95e3tzA3YA/xkEJACZzsqVK7Vo0SJNmTJFLi4ucnFx0d9//y0fHx9NmjRJzz//vE39ihUr6pdffnmo1xw7dqyaN2+u+Ph4jRkzRtu2bdN3332nbt26PdDsFJAe/rmi4wsvvKCEhASbR61atTRkyJB7Ls8fGRlps/jJmDFjlCNHDl2/fl2LFy+2LnEfGRmpevXqafLkydw+A8B/BgEJQKbToEEDxcfHKyYmxvooWLCgzp8/r+7duysoKMim/sGDB+Xl5fXAr3fy5EmtXbtWvXv31r59+1SrVi3lyZNH/v7+KlOmzF2XEAcelX+v6Phvu3fv1rlz59SkSZN7tvXOO+/Y3Ix9z549euutt+Tq6qrmzZvr+vXrkm5dB3j9+vVUtQkATwoCEoDHSs+ePTVy5Ej99NNPiomJ0YEDB9SuXTv17NlTkhQSEqKqVavqzz//THWbvXv31qRJk+Tg4KAyZcpo9erVunDhgo4dO6a9e/fK398/vQ4HSLXbKzrevrHzv40cOVKDBw++5+zR6tWrtXnzZptr7W7f9ys6OlpLlixRyZIlFRcXp3fffVdTpkxJ0+MAgMwuw5f5BoD7UaJECc2aNUv9+/fX8ePH5efnp+7du1tveBsTE6OgoCDrsuD3snjxYhUtWlSBgYGSpICAAPXt21eBgYFycXHR559/rhw5cqTX4QCpcntFxwMHDqhcuXLJth86dEhBQUFq1qzZXdsJDg7WW2+9peXLl2vatGnW8gEDBqhr167y9vZW2bJltWDBAo0dO1YtWrRQgQIF0vx4ACAzIyABeCycOXPG+v+1a9dW7dq1U6yXP39+BQcHJyuvXr16sgUfpFur5Y0cOdKmrEuXLurSpctD9RdIK3da0fGfRo4cqUGDBt3zxs9dunTRm2++qWeffdYmIGXNmlULFy60Pv/rr7+0du1a7gcG4D+JU+wA/Kd17dpV2bJly+huAHd0pxUdb/vjjz+0b98+tW7d+q7tzJs3T5cuXdLgwYPv+Zq9evXSpEmTtHnzZpUtW1bFihXTN9988yDdB4DHDjNIAB45v4GrM7oLaerMJ3Uyugt4Qt1e0dHBwcF6LVBsbKx8fHy0dOlS1atXTx9//LH69+8vR8c7/0o/e/as3n33Xd28eVNubm6Sbi1t//XXX+v333/XuHHjrHUXLVqkYsWKKSAgQBUrVtTatWvl5uaml19+Wc8884wKFy6cvgcNABmMgAQAQCZ1e0XHf/Lz89OePXuUO3dunTx5Utu2bdOcOXPu2k6BAgWsK9Pd1r59e9WtW1dNmza1loWGhmrixInatGmTjh8/rrJly1oD0csvv6x9+/YRkAA88TjFDgCAx9To0aP1zjvvyMnJKdm2B1nRceDAgRoyZIjc3d3l7++vPXv26I8//tD58+e1Zs0alS1bNi27DwCZEjNIAAA8hpKSkhQaGqo333wzxe33u6Ljb7/9pmvXrqlhw4aSpBw5cmjSpEmqXbu2YmJiNGrUKBUrViytug8AmRYBCQCAx8g/V3Rcvnz5HevdaUXH2+bNm2fz/OzZs5o8ebJNWf369VW/fv0H6icAPK4ISAAAQM2bN8/oLgBApkBAAgAgA7GqIwBkLizSAAAAAAAWBCQAAAAAsCAgAQAAAIAFAQkAAAAALAhIAAAAAGBBQAIAAAAACwISAAAAAFgQkAAAAADAgoAEAAAAABYEJAAAAACwICABAAAAgAUBCQAAAAAsCEgAAAAAYEFAAgAAAAALAhIAAAAAWBCQAAAAAMCCgAQAAAAAFgQkAAAAALAgIAEAAACABQEJAAAAACwISAAAAABgQUACAAAAAAsCEgAAAABYEJAAAAAAwIKABAAAAAAWBCQAAAAAsCAgAQAAAIAFAQkAAAAALAhIAAAAAGBBQAIAAAAACwISAAAAAFgQkAAAAADAgoAEAAAAABYEJAAAAACwICABAB4b48aNU3BwsCQpODhYXl5esrOz0549e+6rnWXLlmnv3r3WdurUqSMnJyfZ2dnJwcFBjo6O8vDwUK5cuVShQgUlJCSk+bEAADInAhIA4LFw6NAhDR061Po8d+7cunbtml544YX7aufSpUvq2rWrjDGSpH79+qlatWoKDw/X2LFj1bBhQyUkJCg8PFyBgYGaNWuWHB0d0/RYAACZFwEJAJDpxcXFqU2bNmkyk9OxY0eFhYVZn+/Zs0c9evSQi4uLunXrpuPHj0uSFixYoBIlSuiZZ5556NcEADw+CEgAgExv8ODBKlOmjHx8fB6qnalTpyoyMlLPPfectSwwMFDTp09XTEyMpk+frmrVqikkJEQTJ07UqFGjHrbrAIDHDAEJAJCp/frrr1q2bJmmTp36UO2cOHFCI0eO1IIFC2Rv//+//saPH68tW7YoX7582r59u0aNGqX+/ftr6NChcnd3f9juAwAeM5xUDQDItMLDw9W+fXvNnTtX2bNnf+B2EhIS1Lp1a40ZM0Z+fn4227y8vLRq1Srr861btyo4OFiNGzd+4NcDADy+mEECAGRavXv3VpMmTVS9evWHamfkyJEqWLCg2rZte9d68fHx6tevn6ZMmaLFixerWLFiKlu2rDZt2vRQrw8AeHwwgwQAyJRWrlypRYsWycHBQVOmTJEkxcbGysfHR0uXLlW9evVS1c7evXs1ZswYJSUlycXFRdKtRR+qVKmiTz/9VD179rTWHTt2rJo3b674+HiNGTNG27ZtU3h4uOrWravdu3dzyh0A/AcQkAAAmVKDBg0UHx9vU+bn56c9e/Yod+7cqW4nMDBQ0dHRNmXVq1fX+PHjVbFiRWvZyZMntXbtWm3ZskXff/+9atWqpTx58ihPnjwqU6aMjh8/blMfAPBk4hQ7AMAT58SJE6patapCQ0NTvU/v3r01adIkOTg4qEyZMlq9erUuXLigY8eOae/evfL390/HHgMAMgtmkAAAT5zw8HAFBQUpKipKOXPmvGf9xYsXq2jRogoMDJQkBQQEqG/fvgoMDJSLi4s+//xz5ciRI517DQDIDAhIAIDHxpkzZ5KVbd68OVlZxYoVFRwcfMd2/r1PeHi4Ro4caVPWpUsXdenS5UG6CQB4jBGQAAD/eV27ds3oLgAAMgkCEgAgw/gNXJ3RXUhTZz6pk9FdAAA8JBZpAAAAAAALAhIAAAAAWBCQAAAAAMCCgAQAAAAAFpkqII0bN866LOsff/yhqlWrytXVVaVKldKaNWsyuHcAAAAAnnSZJiAdOnRIQ4cOlSTFxsbqtddeU4sWLRQWFqYZM2aoc+fOOnz4cAb3EgAAAMCTLFMEpLi4OLVp00YJCQmSpO+++06lS5dWjx495OTkpOeff17Dhg3TuHHjMrinAAAAAJ5kmSIgDR48WGXKlJGPj48kaevWrWrQoIFNnaZNm2rDhg0Z0T0AAAAA/xEZHpB+/fVXLVu2TFOnTrWWnT17Vv7+/jb1cufOrZiYGMXGxj7qLgIAAAD4j3DMyBcPDw9X+/btNXfuXGXPnt1aHh0draxZsyar7+rqqujoaDk7OyfbFhsbaxOewsPD06fTAAAAAJ5YGTqD1Lt3bzVp0kTVq1e3KXd1dVVMTEyy+iEhISkGJ0kaPXq0smfPbn34+vqmR5cBAAAAPMEyLCCtXLlSixYt0pQpU+Ti4iIXFxf9/fff8vHx0dGjR3X69Gmb+pcvX1auXLnk5OSUYnuDBg1SWFiY9XHu3LlHcRgAAAAAniAZdopdgwYNFB8fb1Pm5+enPXv26Oeff9aPP/6odu3aWbctW7ZMNWvWvGN7zs7OKZ56BwAAAACpleGLNKSkcePG2rVrlxYsWKD4+Hjt2LFDY8eO1XvvvZfRXQMAAADwBMuUAcnFxUU//vijZs2aJXd3d3Xq1EmzZs1SqVKlMrprAAAAAJ5gmSognTlzRrlz55YklSxZUtu2bVNMTIyOHTumV199NYN7BwAAAGS806dP69VXX5W7u7sCAgK0ZMkSSdKCBQvk6Oho87C3t092f9Hb/P39k9W3s7PTvn37FBwcrDp16sjJyUl2dnZycHCQo6OjPDw8lCtXLlWoUEEJCQmP8rAfmUwVkAAAAADcmTFG9evX14svvqjg4GB9++23GjRokHbu3Km2bdsqISHB+oiLi1OJEiU0ZMiQFNv666+/bOp/9dVXqlOnjp5++mn169dP1apVU3h4uMaOHauGDRsqISFB4eHhCgwM1KxZs+TomKF3DEo3BCQAAADgMXHjxg317NlT/fv3l7Ozs8qVK6cGDRpo27ZtyeouX75cBQoU0DPPPHPPdo0xGjVqlIYOHSpJ2rNnj3r06CEXFxd169ZNx48fl3RrlqpEiRKpavNxRUACAAAAHhM5c+ZU165dJUlxcXFav369li9frhdffNGm3r8Dz72sWLFC+fLlU6VKlSRJgYGBmj59umJiYjR9+nRVq1ZNISEhmjhxokaNGpW2B5XJEJAAAACAx1ClSpX08ssvq3r16qpQoYLNth9//FGenp567rnnUtXWyJEjbcLU+PHjtWXLFuXLl0/bt2/XqFGj1L9/fw0dOlTu7u5pehyZDQEJAAAAeAzt2LFDO3bs0PHjx/Xxxx/bbPt34LmbNWvWyN3dXc8//7y1zMvLS6tWrVJoaKhWrFihI0eOKDg4WI0bN07TY8iMCEgAAADAY8jFxUWVK1fW999/rwkTJljLf/rpJzk7O6t69eqpaudeYSo+Pl79+vXTlClTtHjxYhUrVkxly5bVpk2bHvYQMqUnc+kJAAAA4Al05swZOTs7K1++fNYyb29vOTg4KDo6Wq6urvd17dGGDRskSS+99NId64wdO1bNmzdXfHy8xowZo23btik8PFx169bV7t27n7hT7phBAgAAAB4T27dvV79+/WzKzpw5I3d3d7m6umrLli2KjY3Vyy+/nKr2Ro4cecdlwCXp5MmTWrt2rXr37q19+/apVq1aypMnj/z9/VWmTBnr6nZPEgISAAAA8Jho2LChdu3apfnz5ys6OlpBQUFq3ry5dcboo48+umPgOXHihKpWrarQ0FBJt8JWRESEXnvttTu+Xu/evTVp0iQ5ODioTJkyWr16tS5cuKBjx45p79698vf3T/uDzGAEJAAAAOAx4ebmplWrVumrr76Sl5eXXn75ZbVs2VLt27dXRESEPD09Va9evRT3DQ8PV1BQkKKioiRJBw8e1LBhw+74WosXL1bRokUVGBgoSQoICFDfvn0VGBio1157TZMnT1aOHDnS/BgzGtcgAQAAAI+RgIAArV+/Plm5u7u7vvnmmzvuV7FiRQUHB1ufd+/e/a6vEx4erpEjR9qUdenSRV26dLnPHj9eCEgAAAAAkrl9Q9r/GgISAAAAkEn4DVyd0V1IU2c+qZPRXbhvXIMEAAAAABYEJAAAAACwICABAAAAgAUBCQAAAAAsCEgAAAAAYEFAAgAAAAALAhIAAAAAWBCQAAAAAMCCgAQAAAAAFgQkAAAAALAgIAEAAACABQEJAAAAACwISAAAAABgQUACAAAAAAsCEgAAAABYEJAAAAAAwIKABAAAAAAWBCT8J/z999+aP39+RncDAAAAmRwBCZnO6dOn9eqrr8rd3V0BAQFasmSJdduSJUsUEBAgd3d31a5dW6dOnUpVm3369NGVK1esz/fu3auyZcvK3t5ednZ2cnR0VJYsWZQrVy5ly5ZNvXr1SvPjAgAAQOZHQEKmYoxR/fr19eKLLyo4OFjffvutBg0apJ07d+r333/Xu+++q6+//lrBwcGqW7eu6tWrd88216xZo5MnT+qdd96xlrVq1UqfffaZwsLC1LhxY02cOFHx8fH6888/5e/vr1GjRqXnYQIAACCTIiAhU7lx44Z69uyp/v37y9nZWeXKlVODBg20bds2xcfH69tvv1VgYKCcnZ3Vo0cPXbx4UcHBwXdsLzY2Vn379tWMGTPk6OgoSQoODla2bNn04osvyt3dXR06dNDx48clSe+9956GDRsmDw+PR3K8AAAAyFwcM7oDwD/lzJlTXbt2lSTFxcVpy5YtWr58uVauXKmnn37aWi8kJESTJk1SkSJF5Onpecf2xo4dq2rVqqlKlSrWMk9PT0VERGjz5s0KDAzUvHnz9MYbb+jXX3/V9evX1bhx4/Q7QAAAAGRqBCRkWpUqVdKBAwfUunVrVahQwVp+8OBBlS9fXvb29lqzZo3s7OxS3P/cuXMaPXq0PD09lTNnTnXs2FHjxo2Tvb29Fi1apDfffFPnz59Xhw4d1LBhQ1WtWlXLli17VIcHAACATIhT7JBp7dixQzt27NDx48f18ccfW8vLlSuna9euafbs2Wrbtq1OnDiR4v4fffSRatWqpb1792rfvn3atm2bpk6dKkmqWLGi9u/fr2vXrmns2LEaO3asWrRooQIFCjySYwMAAEDmREBCpuXi4qLKlSvr+++/14QJE2y25c6dWx07dlSfPn00ffr0FPdfuXKl5s2bpzx58qhQoUKaM2dOinVPnjyptWvXqmfPnhowYIAKFiyoWrVq6ezZs+lyXAAAAMi8CEjIVM6cOaNLly7ZlHl7e8vBwUFbtmxRYmKizbZy5colqy9J165dk5ubm3LmzGktK1WqlM6fP5+sbs+ePTVp0iQtWbJE58+f159//qmePXuqU6dOaXRUAAAAeFwQkJCpbN++Xf369bMpO3PmjNzd3TVy5Eht3LjRZtvu3btVsmTJZO14enoqNDRUoaGh1rJjx44lO4Xu66+/VkBAgCpWrKjff/9dLVu2lJOTkxo0aKC//vorDY8MAAAAjwMCEjKVhg0bateuXZo/f76io6MVFBSk5s2ba+jQoXr77bfVt29fHT58WDExMVq6dKnmzp2r7t27S5K2bt2qWrVqKTExUfb29mrfvr3at2+vq1ev6vTp0+rcubP69Oljfa0bN25o4sSJGjlypCSpfPnymj9/viIjI7V06VL5+vpmyBgAAAAg47CKHTIVNzc3rVq1Sj179lSPHj2UK1cu9evXT+3bt5ckXb16VY0bN9a5c+dUsWJFrVixQrlz55YkXb9+XUFBQUpISJCDg4M++eQTDRgwQKVLl5abm5t69+6tN9980/paAwYM0ODBg5UtWzZJUocOHbRnzx7lz59fxYsX18KFCx/58QMAACBjEZCQ6QQEBGj9+vUpbrs9K5SShg0bqmHDhtbnzs7O+uyzz/TZZ58lqxsdHa1y5crZ1HdwcNCMGTM0Y8aMh+g9AAAAHmecYof/JFdXV+upeQAAAMBtBCQAAAAAsOAUOzxSfgNXZ3QX0tSZT+pkdBcAAACQhphBAgAAAAALAhIAAAAAWBCQAAAAAMCCgAQAAAAAFgQkAAAAALB46FXsoqKilJCQIFdXV2XJkiUt+gQAAAAAGSLVAenatWtas2aNduzYoYMHD+r06dOKjo5WtmzZZG9vr6ioKMXHxyt//vwqWbKknn32WdWuXVvlypVLz/4DAAAAQJpJVUCaOnWqhg0bptq1a6tatWrq0qWLihYtKnd3d5t6CQkJOn/+vA4cOKDt27frjTfe0PHjx9Ol4wAAAACQ1lIVkOrWravOnTvL2dn57o05OsrPz09+fn5q2LChxo0blyadBAAAAIBHIVUBqWDBgnfd/ttvv2nnzp16+umnVb169bToFwAAAAA8cqlexe7cuXMplk+ZMkWDBw+Wi4uLhg0bplGjRqVZ5wAAAADgUUp1QCpVqpQ+++wzGWNsyidNmqRVq1ape/fuWrFihT777LO07iMAAAAAPBKpDkhZs2ZVRESEnn/+ee3fv99anjt3bp04cUKSdPz4ceXJkyftewkAAAAAj0Cql/m+efOmhg4dqubNm6tXr14qXry4Ro0apZkzZ6p169bKmjWrbty4oQULFqRnfwEAAAAg3aR6BikuLk7GGHl6emrdunWqWLGiqlevrr///luHDx/WmjVrdPz4cVWqVCk9+wsAAAAA6SbVASkxMVGFChXSK6+8osDAQJUvX17r16/XqlWr1KRJE8XGxqZnPwEAAAAg3aU6IBljtGDBAu3evVuffvqpOnTooBw5cmjWrFl6++231aRJE02ePDnZIg4AAAAA8LhIdUByd3dXxYoVJUkVK1bUmTNnrNuqVq2qrVu3KioqStWrV9exY8fSvKMAAAAAkN5SHZA6dOigNm3aaM2aNWrfvr1at25ts93R0VEDBw7UvHnz7njPJAAAAADIzFK9it1nn32m+fPna+3atapbt67atWuXYr1ChQqpUKFCadZBAAAAAHhUUhWQLl26pLx586pdu3Z3DEYAAAAA8LhL1Sl2S5Yskbe3t7p3765vv/1Wp06dUlJSUop1r1+/ro0bN+qjjz6yXrMEAAAAAI+DVAWkt99+W7/99ptKliypFStWqF69esqVK5d8fHxUvHhxlSpVSoUKFVL27NlVrlw5jR49WrGxsZo8efI92z59+rReffVVubu7KyAgQEuWLLFu2759u8qXLy9XV1c988wz2rVr14MfKQAAAADcQ6qvQSpUqJB69uypnj17WssiIiIUGRmphIQEubi4KEeOHHJ0THWTMsaofv36atOmjVauXKmgoCA1bNhQfn5+KlSokBo1aqQZM2aoXr16Wr16tRo0aKD9+/frqaeeur+jBAAAAIBUSH2aSYG7u7vc3d0feP8bN26oZ8+e6tq1qySpXLlyatCggbZt26ZNmzapWbNmaty4sSSpYcOG2rlzp6ZNm6YRI0Y8TLcBAAAAIEWpXuY7PeTMmdMajuLi4rR+/XotX75cL774orZu3aoGDRrY1G/atKk2bNiQEV0FAAAA8B/wUDNIaalSpUo6cOCAWrdurQoVKujs2bPy9/e3qRMQEKBTp06luH9sbKxiY2Otz8PDw9O1vwAAAACePBk6g/RPO3bs0I4dO3T8+HF9/PHHio6OVtasWW3quLq6Kjo6OsX9R48erezZs1sfvr6+j6LbAAAAAJ4gmSYgubi4qHLlyvr+++81YcIEubq6KiYmxqbO9evXk4Wm2wYNGqSwsDDr49y5c4+i2wAAAACeIPcVkG7cuKHJkycrPj5eN2/etJYnJCTo/Pnzunr1qp577jnFxcWlqr0zZ87o0qVLNmXe3t5ycHCQl5eXTp8+bbPt9OnTKly4cIptOTs7y8PDw+YBAAAAAPfjvgLSzZs39fbbb+vKlSt64YUXrNf5vPvuu6pfv77s7Oy0c+dOOTk5paq97du3q1+/fjZlZ86ckbu7u2rVqqV169bZbFu2bJlq1qx5P10GAAAAgFS7r4Dk6uqqLFmyyMfHR2XLllWLFi20dOlSzZ8/X4sXL1bWrFnl7Oyc6vYaNmyoXbt2af78+YqOjlZQUJCaN2+uoUOHqlOnTpo/f77Wrl2rhIQErVq1SkuWLFH37t3v+yABAAAAIDXuKyA5OztbA9CYMWPUoEED1a1bV99++62++eYbxcbG3teNYt3c3LRq1Sp99dVX8vLy0ssvv6yWLVuqffv2yps3r5YuXapBgwYpW7ZsGj58uFasWKE8efLc3xECAAAAQCrd1zLfjo6OcnR0lDFGjRo10pAhQ3TgwAF17txZrq6u6tq1qxwcHO6rAwEBAVq/fn2K26pUqaIDBw7cV3sAAAAA8KBSPYN09OhRDRgwQPb2t3b54IMP1KtXL4WEhOiLL75QlixZtH//fiUlJWn16tVauHBhunUaAAAAANJDqgPStWvXdPDgQdnZ2al3797KmTOnqlWrpp49eyp79uw6ffq0Bg0apKioKPXp00fvvvtuevYbAAAAANJcqk+xq169utatWydvb2/Vrl1bXbt2lZ2dnT744AMNGjRInp6e2r17tzw9PfXXX3+lZ58BAAAAIF3c1yINSUlJSkxM1GuvvabffvtNAQEB8vLy0vTp0+Xu7q6oqCglJiamV18BAAAAIF3d1yINcXFxio+PlyStXr1aDg4Oyp8/v+rWratt27bJ3t5eCQkJ6dJRAAAAAEhv9zWDFB0drdjYWF26dEmdOnVS06ZNVaFCBbVu3Vq1a9fWlStXrAEKAAAAAB439zWDlJSUpOeff16enp76448/lC9fPknS0KFDlS1bNiUlJckYo9jY2Pu6YSwAAAAAZAb3FZC8vb21adMmSbKGI0myt7fXu+++q8TERJ0+fZpwBAAAAOCxdF+n2N2Lg4ODChYsmJZNAgAAAMAjc18zSP92/vx5RUVF2ZQ5Ozvr6tWrGjBggDZu3PhQnQMAAACARynVASkmJkZfffWVnJycrGWzZ8/WsWPHbMrCwsL07rvvatu2bWnbUwAAAABIZ/c1g9SnTx+1bt1akmRnZ6dr167pyy+/1EsvvSQ7OzvZ2dlp3rx5unz5spKSktKlwwAAAACQXlIdkFxcXOTh4aGZM2fqzz//lJOTk0JCQmRnZ6fmzZvr/PnzCg0N1aBBgzRixAiNHz9exhjZ2dmlZ/8BAAAAIM3c1wzS7bBTp04dRUZGKjw8XK1bt5aTk5NWrlypZcuWyd7+1roPTk5OhCMAAAAAj5UHWsUue/bsOnTokJo3by5jjBISErR8+XLt3bs3rfsHAAAAAI9MqgNSfHy84uPjtWvXLkVFRWnfvn0KDg6WnZ2dGjVqpNDQUBUpUkRPP/20oqKi5Obmlp79BgAAAIA0d1+r2AUEBKh///7KkyePPv74YwUFBcnV1VXFixdXlixZJElr1qyRnZ2dihQpkm6dBgAAAID0kOqA5O7unmzp7kWLFunYsWOKj4+XdCtEXbt2TTNnzlTdunXTtqcAAAAAkM7u+0axZ86c0Y4dO9SiRQu98MILKlOmjBwd/7+ZGzdu6OWXX9bly5fTtKMAAAAAkN5SHZCMMercubMWLlyo559/Xs2bN9fSpUs1dOhQ5cmTx7qkd2JiohISEhQXF5ee/QYAAACANJfqgGRnZyd/f3/t27dPpUuXliQ5ODioWrVqWrNmjU3devXqqWHDhtq4caPN7BIAAAAAZGb3lV4GDRpk87xSpUp66qmnktVbvHixfvjhB8IRAAAAgMfKQyWYSpUqqVKlSsnK7e3t1bJly4dpGgAAAAAeufsKSLGxsXJ2dpYkLViwQPnz55e9ve2tlAoWLKhdu3Zp4MCB+vvvv9OupwAAAACQzlIdkEJCQuTj46OgoCAVKFBAPXr0UOnSpXXo0CGVLVtWhw8fVoECBXTx4kUtXrxYV65cSc9+AwAAAECas793lVvc3d0VExOjVq1aKS4uTh4eHtqxY4cKFCigHTt2qFChQjp27Jhq1KghSYqPj5cxJt06DgAAAABpLdUzSFmyZFGuXLlUoUIFtWjRQnZ2dpJk89+kpCTNnz9fV69elSTFxcVZT8kDAAAAgMzuvhdp+OSTT1S0aFFdvnxZDg4OkmT9r6Ojo+zs7LRhwwZJYgYJAAAAwGMl1afYGWOUkJCgvn376sUXX1SePHmUmJioYsWKKTExUSVLllRiYqIiIiJUqFAhSWL2CAAAAMBjJdUzSHFxcUpMTNT48ePl4eGh/PnzS7I9xc7Ozk5Zs2ZVeHi4cubMad0GAAAAAI+DVM8g3bx5U9HR0fLw8JB0a1W7AgUK6K+//lKBAgWsq9sVKFBAhw4dUmBgYLp1GgAAAADSQ6pnkHLlyqULFy5Yn+/bt09Zs2a1mSWKjY1VaGioPvnkE3Xs2DFtewoAAAAA6SzVAcnOzk43btxQw4YN9dFHH6lmzZpavny5Tp06ZV2kQZKio6O1c+dOfffdd+nSYQAAAABIL/d1DdILL7ygWrVqqVSpUpKkX375RT///LOqVatmrRcTE6OoqChdunTJep0SAAAAADwOUh2QnJyctHXrVhUtWtRaFhcXp/Lly2vu3Lk2dV9//XW1a9dO69evT7ueAgAAAEA6u6/7IP0zHEnSiBEjlJiYmKzenDlzUiwHAAAAgMzsvm8U+0/e3t4plt9e6Q4AAAAAHiepXuYbAAAAAJ50BCQAAAAAsCAgAQAAAIAFAQkAAAAALAhIAAAAAGBBQAIAAAAACwISAAAAAFgQkAAAAADAgoAEAAAAABYEJAAAAACwICABAAAAgAUBCQAAAAAsCEgAAAAAYEFAAgAAAAALAhIAAAAAWBCQAAAAAMCCgAQAAAAAFgQkAAAAALAgIAEAAACABQEJAAAAACwISAAAAABgQUACAAAAAAsCEgAAAABYEJAAAAAAwIKABAAAAAAWBCQAAAAAsCAgAQAAAIAFAQkAAAAALAhIAAAAAGBBQAIAAAAACwISAAAAAFhkeEAKDQ1Vu3bt5OXlJT8/P33yySdKSkqSJG3fvl3ly5eXq6urnnnmGe3atSuDewsAAADgSZbhAalp06by9vbWyZMntX79eq1YsUKff/65rly5okaNGmnYsGEKDw/X4MGD1aBBA12+fDmjuwwAAADgCeWYkS++f/9+Xb16VaNGjZKdnZ08PDw0d+5cNWvWTJGRkWrWrJkaN24sSWrYsKF27typadOmacSIERnZbQAAAABPqAydQUpMTNQ777wjOzs7a5mvr6+uXLmirVu3qkGDBjb1mzZtqg0bNjzqbgIAAAD4j8jQGaSKFSuqYsWKNmWrVq1SxYoV9ffff8vf399mW0BAgE6dOpViW7GxsYqNjbU+Dw8PT/sOAwAAAHiiZfg1SP90+fJlvfvuuxo2bJiio6OVNWtWm+2urq6Kjo5Ocd/Ro0cre/bs1oevr++j6DIAAACAJ0imCUixsbFq0qSJunfvrkqVKsnV1VUxMTE2da5fv54sNN02aNAghYWFWR/nzp17FN0GAAAA8ATJ0FPs/qlTp07y9fXV+++/L0kqUKCATp8+rQIFCljrnD59WoULF05xf2dnZzk7Oz+SvgIAAAB4MmWKGaThw4fr1KlTmjdvnnXBhqpVq2rdunU29ZYtW6aaNWtmRBcBAAAA/Adk+AzSokWLtHDhQu3YsUMuLi7W8k6dOqlChQqqVq2aatWqpXXr1mnJkiXat29fBvYWAAAAwJMsQwPS1q1b1bFjR8XHxyt//vw2206ePKmlS5eqR48eatSokUqXLq0VK1YoT548GdRbAAAAAE+6DA1Izz//vM3S3P9WsGBBHThw4NF1CAAAAMB/Wqa4BgkAAAAAMgMCEgAAAABYEJAAAAAAwIKABAAAAAAWBCQAAAAAsCAgAQAAAIAFAQkAAAAALAhIAAAAAGBBQAIAAAAACwISAAAAAFgQkAAAAADAgoAEAAAAABYEJAAAAACwICABAAAAgAUBCQAAAAAsCEgAAAAAYEFAAgAAAAALAhIAAAAAWBCQAAAAAMCCgAQAAAAAFgQkAAAAALAgIAEAAACABQEJAAAAACwISAAAAABgQUACAAAAAAsCEgAAAABYEJAAAAAAwIKABAAAAAAWBCQAAAAAsCAgAQAAAIAFAQkAAAAALAhIAAAAAGBBQAIAAAAACwISAAAAAFgQkAAAAADAgoAEAAAAABYEJAAAAACwICABAAAAgAUBCQAAAAAsCEgAAAAAYEFAAgAAAAALAhIAAAAAWBCQAAAAAMCCgAQAAAAAFgQkAAAAALAgIAEAAACABQEJAAAAACwISAAAAABgQUACAAAAAAsCEgAAAABYEJAAAAAAwIKABAAAAAAWBCQAAAAAsCAgAQAAAIAFAQkAAAAALAhIAAAAAGBBQAIAAAAACwISAAAAAFgQkAAAAADAgoAEAAAAABYEJAAAAACwICABAAAAgAUBCQAAAAAsCEgAAAAAYEFAAgAAAAALAhIAAAAAWBCQAAAAAMAiUwSkGjVqyN7eXuPHj7cp3759u8qXLy9XV1c988wz2rVrVwb1EAAAAMB/QaYISJs2bdKwYcNsyq5cuaJGjRpp2LBhCg8P1+DBg9WgQQNdvnw5g3oJAAAA4EmXKQJSSr788ks1a9ZMjRs3VpYsWdSwYUO1a9dO06ZNy+iuAQAAAHhCZdqAtHXrVjVo0MCmrGnTptqwYUMG9QgAAADAky7TBqSzZ8/K39/fpiwgIECnTp3KoB4BAAAAeNI5ZnQH7iQ6OlpZs2a1KXN1dVV0dHSK9WNjYxUbG2t9Hh4enq79AwAAAPDkybQzSK6uroqJibEpu379erLQdNvo0aOVPXt268PX1/dRdBMAAADAEyTTBqQCBQro9OnTNmWnT59W4cKFU6w/aNAghYWFWR/nzp17FN0EAAAA8ATJtAGpatWqWrdunU3ZsmXLVLNmzRTrOzs7y8PDw+YBAAAAAPcj016D1KlTJ1WoUEHVqlVTrVq1tG7dOi1ZskT79u3L6K4BAAAAeEJl2oCUN29eLV26VD169FCjRo1UunRprVixQnny5MnorgEAAAB4QmWaU+yGDx+ufv362ZRVqVJFBw4cUExMjPbs2aOKFStmUO8yhqOjY7KHq6urLl26lKzuiBEjktW1t7dXnz59JEljxoyRp6en7OzsZGdnJ0dHR7m4uChfvnxycHDQrl27HvXhAQAAAJlOpglISC4hIcHmMXLkSHXq1En58uVLVnfYsGE2dW/cuKF8+fKpf//+2rx5s1auXKmgoCAdOnRI3t7eunTpkmJiYjRmzBh1795dzz77bAYcIQAAAJC5ZNpT7GArKipKn3/+uXbs2JGq+tOnT1f9+vXl7e2txYsXq2XLlvLy8pKXl5cqV66sv//+Ww4ODpo4caK2bNmSzr0HAAAAHg/MID0mZs6cqddeey1V93eKjo7W5MmTNXDgQElSYGCgFi9erODgYB0+fFhHjx5ViRIl9N5772no0KGs+AcAAABYMIP0GIiNjdVnn32mzZs3p6r+7Nmz9fLLL6tgwYKSpBo1aqhevXoqXbq0cuTIoWnTpmnfvn0KDg5W48aN07HnAAAAwOOFgPQYmDNnjmrUqKFChQrds25cXJwmTJigX375xaZ84MCB1hmluLg4Pf/881q2bFm69BcAAAB4XHGKXSYXHx+v8ePH6/33309V/blz5+r555+Xv7//HeuMGzdOzZs3V2JiomrWrKmCBQtq4MCBMsakVbcBAACAxxIBKZNbsGCBKleurGLFit2zbkJCgsaNG6fBgwffsc7Jkye1du1a9e7dW507d1bfvn114sQJnTlzRosWLUrLrgMAAACPHQJSJpaYmKgxY8bcNfD806JFi/T000+rePHid6zTs2dPTZo0SQ4ODjp58qTq1q0rZ2dntWnTRjt37kyrrgMAAACPJQJSJrZ48WKVKVNGpUqVSnF7y5Yt9e2330qSkpKSNHr0aA0ZMuSu7QUEBCgwMFCS5OPjo2XLlunmzZuaN2+enn766bQ/CAAAAOAxQkDKxI4dO3bXwHPixAldunRJkvT333/rxRdfVNmyZVOse+PGDU2YMEEjR460ls2ePVtjx46Vt7e3vLy81L59+zTtPwAAAPC4YRW7TOzjjz++6/Y9e/ZY/79QoUKaNm3aHesGBQVp4sSJypYtm7WsePHi2rVr18N3FAAAAHhCEJD+IypXrpzRXQAAAAAyPQLSI+Q3cHVGdyFNnfmkTkZ3AQAAAEhTXIMEAAAAABYEJAAAAACwICABAAAAgAUBCQAAAAAsCEgAAAAAYEFAAgAAAAALAhIAAAAAWBCQAAAAAMCCgAQAAAAAFgQkAAAAALAgIAEAAACABQEJAAAAACwISAAAAABgQUACAAAAAAsCEgAAAABYEJAAAAAAwIKABAAAAAAWBCQAAAAAsCAgAQAAAIAFAQkAAAAALAhIAAAAAGBBQAIAAAAACwISAAAAAFgQkAAAAADAgoAEAAAAABYEJAAAAACwICABAAAAgAUBCQAAAAAsCEgAAAAAYEFAAgAAAAALAhIAAAAAWBCQAAAAAMCCgAQAAAAAFgQkAAAAALAgIAEAAACABQEJAAAAACwISAAAAABgQUACAAAAAAsCEgAAAABYEJAAAAAAwIKABAAAAAAWBCQAAAAAsCAgAQAAAIAFAQkAAAAALAhIAAAAAGBBQAIAAAAACwISAAAAAFgQkAAAAADAgoAEAAAAABYEJAAAAACwICABAAAAgAUBCQAAAAAsCEgAAAAAYEFAAgAAAAALAhIAAAAAWGTqgBQeHq5WrVopW7Zsyp8/v8aMGZPRXQIAAADwBHPM6A7cTZcuXeTi4qILFy7oxo0batq0qXLkyKGuXbtmdNcAAAAAPIEybUC6cOGCNm3apL///lsuLi7Knj27FixYoNq1axOQAAAAAKSLTHuK3fbt21WrVi25uLhYy0qUKKFs2bLpzz//zMCeAQAAAHhSZdqAdPbsWfn7+ycrDwgI0KlTpzKgRwAAAACedJn2FLvo6GhlzZo1Wbmrq6uio6OTlcfGxio2Ntb6PCwsTNKthR4yi6TYqIzuQpp6kLFlDBgDiTGQnrwxkBgHiTGQGAOJMbiNcWAMpMzzXfx2P4wx96ybaQOSq6uroqKSv0GuX7+eYnAaPXq0Pvzww2Tlvr6+6dI/SNk/y+geZDzGgDGQGIPbGAfGQGIMJMbgNsaBMZAy3xhEREQoe/bsd62TaQNSgQIFtHbt2mTlp0+fVuHChZOVDxo0SO+88471eVJSkkJCQuTp6Sk7O7t07WtmEh4eLl9fX507d04eHh4Z3Z0MwRgwBhJjcBvjwBhIjIHEGEiMwW2Mw39zDIwxioiIUP78+e9ZN9MGpCpVqqhfv35KSEiQo+Otbh45ckSxsbEpXpvk7OwsZ2dnm7IcOXI8iq5mSh4eHv+ZN/ydMAaMgcQY3MY4MAYSYyAxBhJjcBvj8N8bg3vNHN2WaRdp8Pb21nPPPae3335bN2/e1Llz5/Tmm29qyJAhGd01AAAAAE+oTBuQJGnmzJkKCQnRU089pWeffVaNGzdWp06dMrpbAAAAAJ5QmfYUO+nWNNiiRYsyuhuPFWdnZ33wwQfJTjf8L2EMGAOJMbiNcWAMJMZAYgwkxuA2xoExuBc7k5q17gAAAADgPyBTn2IHAAAAAI8SAQkAAAAALAhIT6Dw8HBNnDgxo7sBpJmvv/5af/75Z0Z3AwCeGGvXrtWuXbsyuhv39Pfff2v+/PkZ3Q38xxCQMpHw8HC1atVK2bJlU/78+TVmzJgHamfYsGGp+jIZHR2t+Pj4B3qNtOLo6Jjs4erqqkuXLqW6jXbt2snBwUE9e/ZMtu3YsWN68cUX5eHhobJly2r16tX3bC8qKkoJCQn3dRwPqkaNGrK3t9f48eNtypcsWaKAgAC5u7urdu3aOnXq1H21GxQUpKxZs8rOzk7BwcHJtq9fv1729vY2437lypU7thcbG6vY2Nj76kNq3WkMbrtw4YLefvttZcmS5b7avdsYJCUlafjw4fLx8VHu3Ln15ptv6ubNm3dtLyPG4Ouvv1bJkiXl4eGhl19+WSdPnryvdrdt26ZKlSrJw8NDlStX1s6dO63bEhMTNXLkSPn5+cnLy0sdO3ZUWFjYXduLjo5WXFzcffUhNUJDQ9WuXTt5eXnJz89Pn3zyiZKSkiQ9/GfhXvuPGDFCefPmlYeHhzp27Jhh74PTp0/r1Vdflbu7uwICArRkyRLrtnt9nu9HfHy8hg4dalM2a9YsFShQQG5ubmrUqNFdfxZIUlxcnGJjY5XelzCPGzfOerzBwcHy8vKSnZ2d9uzZ80DtValSxeZnXo8ePazbVqxYoWLFisnV1VUvvvjiPX+HJiYmKiYmxvo+TWuDBw+Wg4ODta+lS5eWlDbjIEk3b97UW2+9laz/mfG90KdPH5t+PMznYcGCBcm+c9jb26tBgwbWOhk5Bvf6TvQg//6P6jtNQkKCQkJC0u0z8cgZZBrNmjUz7dq1Mzdu3DBnzpwxFStWNDNmzLivNg4dOmS8vb1NaGhosm03b940kszff/9tjDGma9euplevXtbtERER5vr16w91DA9r9OjRpkePHve939y5c5Ptd/36dePt7W2+/fZbExUVZTZu3Gjy5ctn9u3bZ1Pv888/NzVq1LA+d3Z2Nnv37jXGGJOQkGCuX79uoqKiHuBoUueDDz4w48aNsz7fuXOnyZ8/v9mzZ4+JiYkxn3/+uSlZsuQDtV2wYEFz7dq1ZOUTJ040w4cPv+u+FStWNPPnzzfGGLN48WJTtmxZ67bo6Ghz+fLlB+pTSv49Bv/0+uuvm9GjRz9w2ymNwbhx40y9evXMhQsXTGRkpBkxYoRp3759sn0zcgzWrFljAgICzL59+0xkZKSZOXOmCQgIMNHR0alq78SJEyZfvnxm/fr1JioqyixfvtzkzZvXnDt3zhhjzIcffmheeeUVc/78eXP9+nXTuXNn06hRo2Tt5M6d22zZssUYc+vzWa9ePeu2yMhIc/Xq1Yc5bGOMMS+++KIZNGiQCQsLMydOnDCVKlUykyZNeujPwr32nz59uqlQoYI5deqUCQsLMx07djTNmzdP1k56vw+SkpJM6dKlzZgxY0xMTIw5cOCA8fPzMzt27LCpd6fP8/0YOHCgqVOnjvX52rVrTcGCBc3BgwdNVFSUGTJkiPnf//6XbL+mTZuaDz/80BhjzI4dO4ynp6eJi4szxhgTGxtrrly5YhITEx+qb/908OBB4+zsnOx4X3jhBbN79+4HatPLy8vEx8cnKz906JDJkyeP2bx5s4mNjTXTp083hQsXTvZZ69evn+nQoYMxxphLly4ZSdbfmfHx8ebatWsmNjb2gfr2bw0aNDCbN2++4/aHGQdjjHnvvfdM165dbcoy43th9erVpnTp0in+u6XF5yExMdGULFnS7Nq1yxiT+cbgTt+J7vbv/yDfae713e+HH34wn3322V3H+8KFC0aSGT9+/F3belwQkDKJ8+fPmzx58tj8QD527JgpWLDgfbXz/PPPm0WLFqW4LSkpyUgyERERxhhj+vTpYzw9PU1AQIAJCAgwhQoVMk2bNn3gY3hYkZGRxtvb25w9e/a+900pIE2YMCFZ2bRp02xCoTHGfPnll6ZJkybW59mzZzeFCxc2AQEBplixYsbHx8csW7bsvvuUWv/+Yrx161azbds2mzo5cuR4oF8Ed/oF0rlzZ7NkyZK77lutWjXz448/GmOM+f77742rq6v1vVKkSBHj7e193/25kzsFpF9++cWUKlXK+ovnQaQ0BnXq1DG//PKL9XlsbKzJlStXsn0zcgyaN29uvv/+e5s69evXt+n33fTu3TvZmPbv3998+umnxhhjcuXKZfPFPj4+3uTPnz/ZL8oCBQqYw4cPG2NuBWsPDw/rGBQuXNhUqlQp1ceYkn379pnSpUubpKQka9mxY8dMmTJlHvqzcK/9ixUrZvbs2WPdFhcXZ3x9fc1ff/1ls096vw9CQkKS/TGsT58+yf79HvYL4bZt24yTk5NNQHr55ZeT/XyrVKmS2bBhg01Z27ZtzZQpU4wxxuzfv984Ojpax8Df39/kyZMnzf5gEBsba8qWLWscHBzSLCCdP3/eFC9ePMVtXbp0SfalrlmzZmbOnDk2ZcOGDTPvvvuuMcaY0NBQI8k6BkWLFjX58uWzftF+WP7+/ncdz4cJSH/88Yfx8fFJ9ofUzPZeiImJMUWLFk32Gb4tLQLSt99+a1599VXr88w0Bnf7TnS3f/8H+U5TqVIlM3DgQGPMrZ9H+/fvt9k+ZMgQ4+bmZm7evHnH/oaEhBhJ5qeffkrtIWZqmfo+SP8l27dvV61ateTi4mItK1GihLJly6Y///xTRYsWvWcbCxculLOzs1q2bGlTHhMTo7i4OGXNmjXZPj179tTw4cNljFFCQoLi4+N1/fp1eXp6PvxB3aeZM2fqtddek6+vb5q05+XlpcqVK9uU+fr6avPmzZKksLAwOTqm/BHYsGGD/Pz8lJiYaD2VIiIiQu7u7mnSt7upWrWq9f9DQkI0adIkFSlSJE3/TY4dO2ZzesltiYmJCg8Pt56+8E/PPvusNm/eLGOMEhMTre+VHDlyyMHBIc36dlt8fLx69+6tGTNm3PfpdfdSr149jRw5Uv7+/sqVK5eGDx+u3LlzS8o8Y5CYmJhieWhoaKr2L1SokOrUqWNT5uvrq3PnzunmzZvq3Lmz8ubNa93m6OiofPny6cqVK8qWLZuioqJSHINGjRpp3rx5NmNw7do1eXl53ecR3pKYmKh33nnH5nV8fX115cqVh/4s3G3/q1evKjIyUoGBgdY6WbJkUf369bVx40b5+fk9svdBzpw51bVrV0m3TtfZsmWLli9frpUrV953W3dy8+ZNtWvXTv369dPBgwclScYY/f7778lep2nTptqwYYNefPFFhYSEpDgG3t7eCgoKkjFGSUlJio+PV3R0tGJjYx/6viqDBw9WmTJl7nnK5/04duyYAgICUty2detWvffeezZlTZs21ffff6+OHTsqNDTU5nfzPwUFBUm69T5OSEhQTEyM9bPzoGJiYhQaGmrz+UxLPXv21OjRo5UjRw5rWWZ8L4wdO1bVqlVTlSpVHriNuzHGaNSoUZo2bZr1eWYag/v9TvQw32kcHR2tn49PP/1U06dP19atW1WyZElJt34f+/v7y83N7Y6vf/u1nZycUn2MmRkBKZM4e/as/P39k5UHBATo1KlT9wxIN2/eVP/+/WVnZ6fs2bOrYcOGmjFjhlxdXfXzzz9r9OjRio+PV4UKFaxfGozlfNkPP/xQkuTi4qKCBQsqICAgTX8xp0ZsbKw+++wza3hJC61bt05WtmrVKlWsWFGSNGDAAO3bt09JSUlKSkpS+fLlJUkFCxbUCy+8oLNnzypXrlxKSkqSj4+P+vbtq06dOqVZ/+7l4MGDKl++vOzt7bVmzZpkP5AfxtGjR9W4cWOFhYWpRo0amjZtmvLkyaMLFy6oRYsWiouLU2JiooYOHaohQ4ZIuvV+ud0HDw8PeXp6KmfOnFq9erWeeuqpNOvbbZMmTdLJkyf1+uuvy93dXVOnTtXLL7+cJm136dJFP/zwg/z8/CRJOXLk0Pfffy9JmWYMmjZtqkGDBqlQoUIqVqyYFi5cqLVr12r69Omp2r9v377JylatWqVOnTopW7Zsya5xPHv2rM6fP6/ChQvrwIED6tu3r+Lj45UrVy61adNG5tYZB5JkHYOsWbPK29tb2bNn1+7dux/oOCtWrGj9TP6zn/8se9jPQkr73+tnbka9DypVqqQDBw6odevWqlChwkO19U99+vRRnTp1VKtWLWtAuh3q/v3lPyAgQF9//bXi4uJUr149xcfHKyEhQQcPHtQXX3wh6daN3F1dXRUTE6PcuXPL2dlZuXPn1rx586w/Sx/Er7/+qmXLlunAgQMqV67cA7fzb0ePHtW2bduUO3du5c6dW4MHD1abNm0k3frMFy5c2Kb+7feBJLVv316XLl1SQkKCjDHW4ytbtqxy586t69ev66mnnlJSUpKeeuopffLJJ6pdu/YD9zUoKEiRkZHy9fWVMUatWrXSyJEj0+QPRcuWLdPGjRt14sQJDRw4UKNHj1abNm0y3Xvh3LlzGj16tPWz1bFjR40bN0729ml36fyPP/4oT09PPffcc5Iy1+fhQb4TpdV3mg8//FAHDhzQK6+8oh07dsjHx0cREREqUqTIXV//9s/Es2fPWsNiXFycwsLCVLVq1TT9t3sUCEiZRHR0dIp/cXJ1dVV0dLTKlSun8+fPq3r16mrVqpVq1qypgwcPytXVVRUrVtTkyZPl5+enr7/+WlmzZlXnzp01ZMgQffrpp6pfv76KFi2qDRs2yMnJKdmbdNKkSSpfvrz279+v6tWrW39pPEpz5sxRjRo1VKhQIWvZ5s2b1adPn7se9/3YuHGj1qxZo8OHD0uSZsyYoeXLl+vq1atydHS0+dIVERGhd955R7169dLs2bPVvn17vfHGG2lzsKlUrlw5Xbt2TT/88IPatm2rrVu3qlixYurYsaNWrlypp556Sm+88YaaNWsmT09PrVq1Sh06dLhnuzExMZo7d65q1KghOzs7ffrpp2rcuLG2bdumAgUK6KefftKcOXPk4uKS7K/h69at07lz5+Tt7a2oqCi9+eab6RKOIiMj9cknn2jq1Klq3ry51q9fr1atWunQoUPKly/fQ4/BgAEDlJCQoJMnTypXrlyaM2eOLl68KEmZZgzeeOMNXbhwQQ0aNFBcXJyuXLmijh07Kn/+/JJ032Mwb948Xb58WY0aNUq2LTExUR06dFC/fv3k7OysZ599VsuWLdPy5cvl5OSUbAwWLVokV1dX3bx5Uz4+Pqka89S6fPmy3n33XX333XfWsof9LKS0/71+5mbU+2DHjh06cOCAevfurY8//liDBw++a/3UjMHKlSu1c+dO7d2712ahjnuNgZOTk7Zv367JkyfLyckp2V+n9+zZo/Xr1+vFF1/UgQMH1L1794cKR+Hh4Wrfvr3mzp2r7Nmzp3q/IUOGaPbs2cqWLZsaN26sli1bqlChQvrmm2+sM3MVK1bUr7/+Kn9/fx06dEgtWrTQU089pVq1aikpKSnZ78XbYyDdGr958+YpJiYm2RicPn1aU6dOVdu2bfXdd9+pU6dODxWOJMnNzU2//PKLnn76aQUHB6tbt24aPny4Ro0a9VDjYIzR4MGD9eGHH+rtt9/Wvn379MYbb6hs2bLKlStXpnovfPTRR6pVq5Zmz56tyMhINW/eXFOnTlWvXr3uut/9/FwcOXKkxo4da32emT4PKX0nupe0+k7j4OCghQsX6n//+5927dolHx8fXbhwwTqbdC/t2rVLVhYdHX3HWdjM6vGKc0+w2395+Lfr16/r0KFDWrJkic6cOaP69evr888/l6+vr4YMGaJs2bJJkr755hvNmTNHhQoVUt68eTVv3jzNnTvX+hffo0ePasKECbp69aouX75s83BwcFBERITeeOMNZc2aVVFRUY/02OPj4zV+/Hi9//77NuX29vb3PO7UOnPmjFq3bq0FCxbY/OKdO3euNmzYoCtXrtiMSUREhKRbfxFp06aNbty4kSErs+TOnVsdO3ZUnz59rDMH1atX19mzZ7V48WKFhITo1VdfVenSpXXhwoVUteni4qJGjRopR44cyp49u0aMGKGoqChrcIyJiVHfvn117dq1ZO+V21PzFSpUUNmyZdP0FJh/+vnnn/Xiiy+qU6dOcnNzU8OGDdWuXTstXLjwocfg2rVrmj9/vpYuXarChQsrR44cevfdd7V48WLrX9YzwxhI0ttvv60zZ87os88+k5eXl82sz/2Mwe7duzVgwAAtXrw4xVMwBgwYoCxZsuidd96xll28eFEffPBBimNgjFFUVJRq1apl/etiWoiNjVWTJk3UvXt3VapUyWbbw34W/r3/3X7m3v6SlBHvAxcXF1WuXFnff/+9JkyYcM/69xqDq1evqkePHvrqq6+SfUFJzRhI0vvvv6+TJ08mG4PY2FglJCSoQIEC1tOPHkbv3r3VpEkTVa9e/b72K126tE6cOKGffvpJTk5Oat68uQoXLqxDhw5Z61StWlUlS5aUk5OTKlasqE8//VQzZsyQdOt3jfnXCmT/HoPx48drz549ycYgOjpaSUlJypYtm5o0aaJr1649+ABYFC1aVFWqVJGrq6t8fX21cOFCzZ49+6HH4cCBA8qePbuGDh2qbNmyqVq1ahoyZIhmzpyZ6d4Lt0Npnjx5VKhQIc2ZMydVs+ep/Znw008/ydnZ2ea9llnG4E7fiVIjrb7T5MyZU4cPH1bjxo0l3fodUrZs2VT1YdOmTdYzDuLj43Xjxo3HLhxJYhW7zOKbb75JcRWtgIAA8+eff95zfw8PD5uLnI0xplChQtYVplasWGFq1qxp+vTpY0qWLGnKlStnypYtawoXLmxatmxpxo0bZ3bt2mUKFChgQkJC0uagUumLL74wLVq0eKg2Ulqk4bYbN26YkiVLmmnTpiXb1rBhQzN//nxTqFAhU6ZMGVOuXDlTsmRJ07lzZ+Pi4mKuXbtmunfvnmxhh7SU0ip2CQkJNnVWrVplmjVrdt9tp/Yi1iZNmpg1a9YYY26Nl6Ojo/n6669NQECAKVeunClXrpwpVqyY6dChg6lTp46Ji4sz+fLlu+PFs/fr32MwduxY6wpBt82fP9907979vtv+9xjs3LnTVK9ePVm94cOHWy/UzgxjcFt4eLjJnz+/Wbp06QO1+/fffxtvb2/rIgP/NmvWLBMQEJDsc3/gwAHj7+9vxo4da0qUKGH9meHv72/atGljevToYS5fvmw8PT2TLWrwoFq1amWaNWtm/Vn2sJ+Fu+1/5coV4+fnl2yfrl27mtmzZxtjHt374PTp0+bixYvJyr28vGxWm3qQi9IbN25sHB0djbOzs3F2djZZsmQx9vb2Jm/evCYpKcnkzJkz2SIoo0ePNoMHD7Y+z5Ejh1myZIkpWrSoKVu2rClXrpwpXry4efPNN02pUqWMMcaUK1fOfPPNN/fVt39asWKFTT+dnZ2NJOPs7Gx++OEHa72HXb3ttsOHD5tnn33WGGNMiRIlzJkzZ2y2L1682LRq1cr6vHz58uarr74yRYoUsY5BiRIlTLdu3Yybm5sx5tbiL+m1glfu3Llt3gsPMg7ffvutdRW+27Zs2WJee+21TPVeuHr1qilUqJBNWVJSknF3d7cpe5hFGp5//vlkiwlkljFIzXeiO/37P+h3mipVqpi5c+caY4zN582YWwucSLrnAloRERFGktm0adO9D/IxwCl2mUSVKlXUr18/JSQkWP/Ce+TIEcXGxqZ4nvy/PfXUU/rjjz+sU6ChoaEKDw+3Xnh+8+ZNubu7q0ePHurZs6dq1qypbdu2acWKFTp79qwuXLigmTNnqnnz5sqZM2f6Hei/JCYmasyYMdbrP9JaQkKCmjZtqpdfflndunVLtv3mzZvKkSOHvvzyS0VHR2vSpEn6+OOPdfHiRW3ZskVHjx7VsmXLtGHDhnTpX0qGDBmi/v37q1atWtay3bt3p3p6+27i4uJUp04d/fDDD3J1dZV066/2u3fvts5O3H6vNGjQQPnz59fcuXP16quvWi9C/uyzz/TNN9+oQIEC1nO305qPj0+y98Thw4fv63SDOylUqJBOnjxp81mTZD3dRMocY3DbkCFDVLlyZTVt2vS+942IiFDdunX13nvvqW7dusm2//LLLxo2bJi2bduW7HN/ewzatGmjmjVr6u2339Ynn3yiQ4cOKTw8XNu3b9fs2bP10ksv3fPc9NQYPny4Tp06pY0bN1pPDXnYz8Ld9s+TJ4+cnJx0/Phx68XJCQkJWrlypQYMGGAzBun9Pti+fbvWrFmjRYsWWcvOnDkjd3d36+f0QS1fvtzm+ebNmzV+/HitWrVK0q1TzzZu3KhXXnnFWmfZsmU29+SKjIxUrVq15Onpqa1bt8rV1VUlSpSQo6Ojli5dqq1bt+rGjRuqX7/+A/ezQYMGye7L5+fnpz179lh/jz2oL774QomJidbT7aRb9wgrVqyYpFuzS+vWrbPZvmzZMpvPzM2bN1WqVCnNnDlTp0+f1p49e9SsWTNJ0pdffql9+/Zp586dmjNnzkP1de/evZo9e7Z1dku6dU2Si4vLQ78XfHx8dOTIEZuy2z9X7ezsMs17wdPTU6GhoQoNDbX+XDp27JgKFCjwwG3+05YtWxQbG5vsmtbMMAYP+53oYb/TbN68Wa+//roOHTpk/XwsXbpU5cqVS7MFtB4bGZ3Q8P+aNWtmevbsaSIiIszZs2dN5cqVzRdffJGqfT/77DNTuXJlc+rUKXP58mVTv3598/7771u3f/zxx6Z3796ma9euZsSIEaZAgQJm4sSJpkCBAmbWrFnGz8/P+Pr6mrCwsPQ6vBQtXLjQNG7c+KHbudMMUufOnU39+vXveD+CYsWKmc2bNxtfX18zY8YM88orr5hXXnnFdOrUybz++uumSJEiD3Rfpvvx75mD1atXm5IlS5pDhw6Z6Oho8+2335oCBQqk2TLfTZs2NR06dDAhISHmwoULplmzZjZLgv7222+mbNmyZvHixeall14ybdq0MZ988olxd3c33333nXF1dTWFChUyO3fufPCD/pd/j8HNmzdNgQIFzBdffGEiIyPNypUrTf78+R/onjspjUHr1q1Nhw4dzKVLl0xYWJgZM2aMKVCggPX9nxnGwJhbS2B7eXmZS5cu3Xd7CQkJ5tVXX73j+/fo0aMmT548ZuvWrSlu//rrr039+vXN6NGjTceOHU21atXMxIkTrX89zZMnj8mXL585ffr0ffft37766itTuHBhc+XKFZvyh/0s3Gv/6dOnm6pVq5pz586Z8PBw89Zbb5nWrVtb939U74ObN28af39/M2/ePBMVFWX++OMPU6lSJetfdG9Li2WNN23alOw+SMWLFzd//PGHiY6ONiNGjDBVq1a1br948aLx8PAwv/32mylZsqQZMGCAGThwoMmbN6+ZN2+eyZs3rylSpMgDz3DeTUrH+yAzJ/v377fe5yg6OtqsXLnS5M6d27qU8aFDh4yPj4/ZuXOniYuLM3PmzDFFixY1MTExxphbn6WsWbOa/fv3Gx8fHzN27FjTqVMnU7p0aTNixAjz7LPPmiJFitzxXm73IyoqyhQsWNBMnTrVREdHmwMHDpiyZctal5R+mHFITEw0gYGBZsSIESYiIsL8+uuvxtvb2xw9etQYk7neC3379jX169c3V65cMadOnTKVK1c2s2bNsqnzoJ+Hl156KdksyW0ZPQap/U50p3//B/1OU6VKFdOzZ0+TPXt2M2/ePGv51atXTb58+UzhwoWTzbL+25M2g0RAykRu3LhhWrZsadzc3MxTTz1lxo4dm+p9k5KSzEcffWS8vb1Nvnz5zKBBg2xurPbKK6+YiRMnmkqVKpmYmBhTs2ZNkz9/fnP48GFz/PhxI8ksWrTIhIeHJ7v3SnoaNGhQshu3PoiUAtKYMWOMJGNvb28cHBysjyJFihhjbt3UzN3d3cycOdO8//77Zt++faZQoULm5ZdfNvHx8WbQoEEmR44cJjIy0vz8888P9CU1NVL6Yjx37lzj7+9vnJ2dTZUqVR54jFL6BRIaGmratm1rcubMaXLkyGE6dOhgE4xHjx5tOnfubF555RVz5MgR89FHHxl3d3czf/58Ex0dbQoXLmzefPNNY8ytL7ZpcTO8lMbgjz/+MNWqVTPu7u7mf//7X5qOQUREhOncubPJkSOHyZUrl6lXr57NaWKZZQx27txpvvvuuwdqr1u3bkaSzXvfwcHBvPjii9bTy1LafvuGqF27djVDhw41lSpVMlevXjWdO3c2OXPmNL/88ou5fv26cXNzM6NGjTLGGLNgwYIHPu5ff/3VODk5GTs7u2R9OXPmzEN/Fu61/4cffmi8vLyMu7u76dixo819Ph7l+yAoKMjUrFnTuLm5GV9fXzNp0qRkddIjIBljzIwZM4yPj49xdXU1DRs2tAmqixcvNjVr1jSdO3c2a9asMXPnzjU5cuQwI0aMMAkJCaZq1aqmVq1axphbp4rfDhVpIa0CkjG3TuErWbKkcXZ2NmXKlEn2Bfn77783RYsWNS4uLqZGjRo2p7bv2LHD+Pv7m48++shMnz7drFu3zuTNm9d07NjRGGNMixYtTPHixU1iYqJZsWLFQ/+h8ciRI6Z69eoma9asxsfHx4wePTrZKfQPOg4XLlwwdevWNR4eHqZcuXJm/fr1Ntszy3shJibG9OnTx3h5eRk/Pz8zYcKEZHUe5PMQHh5u3njjjbvWycgxSO13opT+/R/mO02xYsWMJPPZZ59Zyy5fvmwqVqxo6tSpY1q0aGF8fHzMsWPHrNv/fWx3C0hxcXHJTnfO7AhI/wEHDhwwbm5uJjw83Jw5c8YMGTLElCtXzuzfv98sXLjQFCxY0LRq1cpUqVLFTJ8+/Y4303vSvPPOO6ZVq1YmMTHRbNq0ydStW9e0bt3anDt3znTr1s08/fTT5plnnjGjRo0y9erVM5988klGdznd3Z65Wb9+vblx44aZOXOmKVOmjFm8eLHZvn27KV++vGnTpo3x8/MzP/74o8maNWuK1048zhiDW79oPTw8zIkTJ8zly5fNuHHjTOnSpc2GDRvMqlWrTNGiRU27du1MyZIlzdKlS0327NlNbGxsRnc7TfE+uDVz8swzz5jZs2ebyMhI8/XXX5vAwEDz6aefmsOHD5saNWqYJk2amAIFCpjly5cbb2/vNJ1VzSwaN25sBg8ebOLi4syPP/5onn/+edOvXz9z6tQp07RpU1OzZk1TtGhRM2fOHBMYGHjPm3A/jngvZP4xeNDvNCEhIcbPz8+8/fbbxhhjgoODzYQJE4ynp6epX7++uXnzpomLizMvvPCCyZ07tzl48KAx5tYNaB0cHIybm5vJmTOnyZUrl5FkPDw8jKenp8mRI4fJli2bcXR0NJLMjh07HtlYpAUC0n/A3LlzzfDhw83ly5dNjRr/1969hkS17mEAf3S8zKijkpWh1oyUCUpW1Ic0KAVNUbcZYVFhYNINIRCLiCCMwhASkfoSWRpSJCpFEAqO2QUMulGoKZSX1HFKs2YabdY4a9a7PzRnznF3OXDONqf28/s0l3V535dhzTyz/mu9KaKyslJIkiTevn0rCgsLRW9vrxDiSxleaGjorJRKeBpZlkVOTo7o7u4W9fX1IiMjw/2vR3NzsygpKRGSJImJiQmRkpIiYmJixMTExNw2+id4+vSp2Lp1q5BlWezcuVMUFxcLk8kkHA6HOHz4sPtC/+bmZhEREeE+oP5OOAZf+nbgwAExNTUlMjMzRWlpqTCbzeLTp0/i4MGD7i+6mpoaERYWJiorK+e2wbOAnwMhBgcHRXp6upAkSRQXF4vCwkL3mZUzZ864S8AfP34sli1b9reUS3sai8UiUlNTxdjYmDh79qzIy8tz/8NfW1srysrKhNPpFP39/WL16tVi3bp1X13k/zvgZ8Gzx+D//U3T19cnHA6HaGxsFCqVSkRFRX1V4js8PCx2794trFarEOLLMbK7u1v09fWJN2/eCKPRKEZHR4XJZBJGo1EMDw+LgYEB0dPTI548eeJe71fhJcRf7m1JRERERET/OM3NzUhNTf1bJib+lTEgERERERERuXCiWCIiIiIiIhcGJCIiIiIiIhcGJCIiIiIiIhcGJCIiIiIiIhcGJCIiIiIiIhcGJCIi+u3Isoxv3aRVkiTIsvzN5W0223fXUxQFDocDVqt1VtpLRESeg7f5JiIij2Y0GpGfn4/Tp08jKSnph8teuHABbW1tSEtLQ0tLC5qamma8n5ubi7CwMFy6dGnG6w8fPsSGDRsQGxv73W0rioL+/n5IkvS/d4aIiDyez1w3gIiI6EfOnTuHkZERJCQkzDj7I4SAw+GAzWZDQEAANBoN/Pz8MG/ePPj6+sJgMCA2NhZWqxWjo6Ow2Wx4/vw55s+f/9U+1Go1wsPD0dXV9d12mM1mREVFzUofiYjIczAgERGRxxocHERVVRUkSYJWq/3ucjdu3EBubi68vLzcr23ZsgWXL1+G2WwGANTV1aGgoAAGgwGtra1IS0tzL6tSqTA2Noa1a9d+c/uKokBRlG+W3xER0e+FJXZEROSRZFlGcnIydDodrl69CgCYnJyEVqvFwMAAlixZ4j6DpFarUVpaitraWvj5+UGj0cBut0OtVmN8fBz19fXYt28fHjx4gJ6eHuzZswePHj3CokWLAABdXV3IzMzE0NAQAKCqqgrv3r1DWVkZ7HY74uPjUVdXh8TExDkbDyIi+jkYkIiIyCOVl5ejuroaLS0tiIyMhJ+fHz5//uwOSFFRUZAkCYqiIDg4GIqiYGhoCEajEQ0NDbBYLCgpKUFkZCR27NiBlJQUGAwG7N+/H3fu3IHBYMDt27cRExODzs5O5OTkoLy8HIcOHUJISAisVitCQ0MhyzIsFgsWLlwIk8mEa9euYdOmTXM9PERENEtYYkdERB7p6NGjKCoqQnR0NGw2G3x8/v2VFR8fj+npaciyjO3bt+P69etwOp1Yvnw5ioqK0N7ejuHhYWRlZSE1NRW5ubk4cuQIAgICcP/+fVRVVaGwsBDBwcEAAKfTCX9/f/j6+iIjIwPp6el48eIF1Go1goKC4HA4oNfrceXKlRntICKi3w+P8kRE5LGCgoIQGBiIhoYGJCcnu0vsuru7odfr4XQ64XQ6AQC+vr7w8/ODt7c3Kioq0NXVhc7OTqjVaqxcuRIFBQXw8fGBl5cX9u7di40bNyI8PBwAMD09jcDAQCiKAqPRCIfDgfHxcdjtdmg0GlgsFkREROD9+/dQFGUuh4SIiGYZAxIREXmc6elp97VF/40QAmazGVqtFjabDW1tbWhqaoK/vz+0Wi1MJhPi4uIQGBiIgIAA9Pb2oqysDCdPnnRvw2KxICwsDEuXLsWaNWswMDAAvV4PLy8v940ZBgYGkJqaisWLF89av4mIaO4xIBERkcfp6OhASkqK+/l/PgaA6Ojor9Z59eoVNBoNKioqUFFRgQ8fPqC6uhrZ2dmIi4vD5OQksrKy8Mcff+DYsWPQ6XTudfv7+6HT6bBq1SocP34cL1++xIIFC+Dt/WU+dUVRMDIygvz8/B/OlURERL8+BiQiIvI4SUlJmJiYgFqtho+PD1QqFby9vWG1WhESEoK+vj7odDooigKHwwFJkhASEgIAuHjxIjQaDWRZxokTJwAAPT09yM/PR1JSEnp6etDY2Dhjf62trcjOzgYAaDQaJCYmIiEhYcYy7e3t0Gg0P6H3REQ0lxiQiIjI4/xrwte/mp6eBgA4HA6oVCqoVCr4+voiICAAkiS5S+w+fvwIrVaL169fY2pqCuvXr8ezZ8+wbds2OJ1O3Lp1C3l5eQCAvr4+tLS04Pz58+79xMXFITk5eca+BwcHZ62/RETkORiQiIjol2GxWAAAVqv1q/dkWca9e/ewYsUKaLVad3mcXq+H2WyGXq/H3bt3sXnzZpw6dQo5OTnw9/dHR0cHSkpK3HMiTUxMoKamBjdv3pyxfZvNhl27ds1uB4mIaM5xHiQiIvpHsdvtMJlM0Ov1c90UIiLyQAxIRERERERELt5z3QAiIiIiIiJPwYBERERERETkwoBERERERETkwoBERERERETkwoBERERERETkwoBERERERETkwoBERERERETkwoBERERERETk8if8GXMUfXpVugAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped = data.groupby('年齡層').agg({'報名人數': 'sum', '通過人數': 'sum'})\n",
    "\n",
    "# 計算通過率\n",
    "grouped['通過率'] = grouped['通過人數'] / grouped['報名人數']\n",
    "\n",
    "# 設定圖形大小\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "# 創建條形圖，年齡層為 x 軸，通過率為 y 軸\n",
    "plt.bar(grouped.index, grouped['通過率']*100)\n",
    "\n",
    "# 為每個條形添加數值標籤\n",
    "for i, value in enumerate(grouped['通過率']*100):\n",
    "    plt.text(i, value, f'{value:.1f}%', ha='center', va='bottom')\n",
    "\n",
    "# 為 x 軸和 y 軸添加標籤\n",
    "plt.xlabel('年齡層')\n",
    "plt.ylabel('通過率 (%)')\n",
    "\n",
    "# 為圖形添加標題\n",
    "plt.title('各年齡層的通過率')\n",
    "\n",
    "# 顯示圖形\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-05-13T14:33:12.857696Z",
     "start_time": "2023-05-13T14:33:12.749883Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## A、B、C 卷的通過率"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1800x600 with 3 Axes>",
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 分別按照卷別和年齡層分組\n",
    "grouped_A = data[data['卷別'] == 'A卷'].groupby('年齡層').agg({'報名人數': 'sum', '通過人數': 'sum'})\n",
    "grouped_B = data[data['卷別'] == 'B卷'].groupby('年齡層').agg({'報名人數': 'sum', '通過人數': 'sum'})\n",
    "grouped_C = data[data['卷別'] == 'C卷'].groupby('年齡層').agg({'報名人數': 'sum', '通過人數': 'sum'})\n",
    "\n",
    "# 計算通過率，並處理 '報名人數'為零的情況\n",
    "grouped_A['通過率'] = np.where(grouped_A['報名人數'] == 0, 0, grouped_A['通過人數'] / grouped_A['報名人數'])\n",
    "grouped_B['通過率'] = np.where(grouped_B['報名人數'] == 0, 0, grouped_B['通過人數'] / grouped_B['報名人數'])\n",
    "grouped_C['通過率'] = np.where(grouped_C['報名人數'] == 0, 0, grouped_C['通過人數'] / grouped_C['報名人數'])\n",
    "\n",
    "# 設定圖形大小\n",
    "plt.figure(figsize=(18, 6))\n",
    "\n",
    "# 創建子圖\n",
    "plt.subplot(1, 3, 1)\n",
    "plt.bar(grouped_A.index, grouped_A['通過率']*100)\n",
    "for i, value in enumerate(grouped_A['通過率']*100):\n",
    "    plt.text(i, value, f'{value:.1f}%', ha='center', va='bottom')\n",
    "plt.xlabel('年齡層')\n",
    "plt.ylabel('通過率 (%)')\n",
    "plt.title('A卷的通過率')\n",
    "\n",
    "plt.subplot(1, 3, 2)\n",
    "plt.bar(grouped_B.index, grouped_B['通過率']*100)\n",
    "for i, value in enumerate(grouped_B['通過率']*100):\n",
    "    plt.text(i, value, f'{value:.1f}%', ha='center', va='bottom')\n",
    "plt.xlabel('年齡層')\n",
    "plt.ylabel('通過率 (%)')\n",
    "plt.title('B卷的通過率')\n",
    "\n",
    "plt.subplot(1, 3, 3)\n",
    "plt.bar(grouped_C.index, grouped_C['通過率']*100)\n",
    "for i, value in enumerate(grouped_C['通過率']*100):\n",
    "    plt.text(i, value, f'{value:.1f}%', ha='center', va='bottom')\n",
    "plt.xlabel('年齡層')\n",
    "plt.ylabel('通過率 (%)')\n",
    "plt.title('C卷的通過率')\n",
    "\n",
    "# 顯示圖形\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ],
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     "end_time": "2023-05-13T14:33:13.237226Z",
     "start_time": "2023-05-13T14:33:12.867372Z"
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