{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "775553f7",
   "metadata": {},
   "source": [
    "# 1：目标公司与同业公司基本信息整理"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f293e5d",
   "metadata": {},
   "source": [
    "我们选择的目标公司是春风动力，同业公司为宗申动力、钱江摩托、信隆健康、千里科技、隆鑫通用、新日股份、爱玛科技、九号公司、涛涛车业、绿通科技和华洋赛车。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0e8bd21b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#导入需要用到的库\n",
    "import tushare as ts\n",
    "import pandas as pd\n",
    "import time\n",
    "\n",
    "TOKEN = 'd03626ff9727d599aa92579545fbdd63e321786263aeddce433b553b'\n",
    "pro = ts.pro_api(TOKEN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3229523c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>股票代码</th>\n",
       "      <th>公司全称</th>\n",
       "      <th>法人代表</th>\n",
       "      <th>总经理</th>\n",
       "      <th>注册资本(万元)</th>\n",
       "      <th>员工人数</th>\n",
       "      <th>所在省份</th>\n",
       "      <th>所在城市</th>\n",
       "      <th>注册日期</th>\n",
       "      <th>主要业务</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>603129.SH</td>\n",
       "      <td>浙江春风动力股份有限公司</td>\n",
       "      <td>赖民杰</td>\n",
       "      <td>赖民杰</td>\n",
       "      <td>15348.2763</td>\n",
       "      <td>6911</td>\n",
       "      <td>浙江</td>\n",
       "      <td>杭州市</td>\n",
       "      <td>20031209</td>\n",
       "      <td>主营业务为全地形车,摩托车,游艇及休闲运动装备等后市场用品的研发,生产和销售.公司产品包括4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000913.SZ</td>\n",
       "      <td>浙江钱江摩托股份有限公司</td>\n",
       "      <td>徐志豪</td>\n",
       "      <td>郭东劭</td>\n",
       "      <td>52641.1000</td>\n",
       "      <td>5602</td>\n",
       "      <td>浙江</td>\n",
       "      <td>台州市</td>\n",
       "      <td>19990328</td>\n",
       "      <td>主要产品:摩托车整车,摩托车配件及加工.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>001696.SZ</td>\n",
       "      <td>重庆宗申动力机械股份有限公司</td>\n",
       "      <td>黄培国</td>\n",
       "      <td>黄培国</td>\n",
       "      <td>114502.6920</td>\n",
       "      <td>9459</td>\n",
       "      <td>重庆</td>\n",
       "      <td>重庆市</td>\n",
       "      <td>19890314</td>\n",
       "      <td>主要产品:摩托车发动机及零配件.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>002105.SZ</td>\n",
       "      <td>深圳信隆健康产业发展股份有限公司</td>\n",
       "      <td>廖学金</td>\n",
       "      <td>廖学湖</td>\n",
       "      <td>36624.1950</td>\n",
       "      <td>2477</td>\n",
       "      <td>广东</td>\n",
       "      <td>深圳市</td>\n",
       "      <td>19911028</td>\n",
       "      <td>主要产品:自行车零配件和运动健身康复器材产品.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>301322.SZ</td>\n",
       "      <td>广东绿通新能源电动车科技股份有限公司</td>\n",
       "      <td>张志江</td>\n",
       "      <td>张志江</td>\n",
       "      <td>14128.7878</td>\n",
       "      <td>663</td>\n",
       "      <td>广东</td>\n",
       "      <td>东莞市</td>\n",
       "      <td>20040511</td>\n",
       "      <td>公司是一家从事场地电动车研发,生产和销售的高新技术企业.公司主要产品为场地电动车系列产品,根...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>301345.SZ</td>\n",
       "      <td>浙江涛涛车业股份有限公司</td>\n",
       "      <td>曹马涛</td>\n",
       "      <td>曹马涛</td>\n",
       "      <td>10904.9071</td>\n",
       "      <td>3013</td>\n",
       "      <td>浙江</td>\n",
       "      <td>丽水市</td>\n",
       "      <td>20150924</td>\n",
       "      <td>专注于户外休闲娱乐兼具短途交通代步功能的汽动车,电动车及其配件,用品研发,生产和销售,汽动车...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>601777.SH</td>\n",
       "      <td>重庆千里科技股份有限公司</td>\n",
       "      <td>印奇</td>\n",
       "      <td>周宗成</td>\n",
       "      <td>452110.0071</td>\n",
       "      <td>6949</td>\n",
       "      <td>重庆</td>\n",
       "      <td>重庆市</td>\n",
       "      <td>19971201</td>\n",
       "      <td>主要产品:摩托车,摩托车发动机,乘用车,乘用车发动机,通用汽油机及终端产品(发电机组,水泵,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>603529.SH</td>\n",
       "      <td>爱玛科技集团股份有限公司</td>\n",
       "      <td>张剑</td>\n",
       "      <td>张剑</td>\n",
       "      <td>86789.2982</td>\n",
       "      <td>9134</td>\n",
       "      <td>天津</td>\n",
       "      <td>天津市</td>\n",
       "      <td>19990927</td>\n",
       "      <td>主营业务:电动自行车的研发,生产及销售.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>603766.SH</td>\n",
       "      <td>隆鑫通用动力股份有限公司</td>\n",
       "      <td>李耀</td>\n",
       "      <td>龚晖</td>\n",
       "      <td>205354.1850</td>\n",
       "      <td>10529</td>\n",
       "      <td>重庆</td>\n",
       "      <td>重庆市</td>\n",
       "      <td>20070608</td>\n",
       "      <td>主要产品包括:摩托车及配件,发动机及配件,农业机械装备及配件和发电机组等.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>603787.SH</td>\n",
       "      <td>江苏新日电动车股份有限公司</td>\n",
       "      <td>张崇舜</td>\n",
       "      <td>赵学忠</td>\n",
       "      <td>23014.3790</td>\n",
       "      <td>2251</td>\n",
       "      <td>江苏</td>\n",
       "      <td>无锡市</td>\n",
       "      <td>20070716</td>\n",
       "      <td>公司主营业务为电动自行车的研发,生产与销售.公司的主导产品为简易款电动自行车,豪华款电动自行...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>920058.BJ</td>\n",
       "      <td>浙江华洋赛车股份有限公司</td>\n",
       "      <td>戴鹏</td>\n",
       "      <td>戴鹏</td>\n",
       "      <td>5605.6110</td>\n",
       "      <td>718</td>\n",
       "      <td>浙江</td>\n",
       "      <td>丽水市</td>\n",
       "      <td>20040310</td>\n",
       "      <td>两轮越野摩托车和全地形车.公司专业从事非道路越野车的自主研发,生产和销售.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>689009.SH</td>\n",
       "      <td>九号有限公司</td>\n",
       "      <td>高禄峰</td>\n",
       "      <td>陈中元</td>\n",
       "      <td>507500.0000</td>\n",
       "      <td>6995</td>\n",
       "      <td>None</td>\n",
       "      <td>GrandCayman</td>\n",
       "      <td>20141210</td>\n",
       "      <td>主营业务为各类智能短程移动设备的设计,研发,生产,销售及服务.公司主要产品分为智能电动平衡车...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         股票代码                公司全称 法人代表  总经理     注册资本(万元)   员工人数  所在省份  \\\n",
       "0   603129.SH        浙江春风动力股份有限公司  赖民杰  赖民杰   15348.2763   6911    浙江   \n",
       "1   000913.SZ        浙江钱江摩托股份有限公司  徐志豪  郭东劭   52641.1000   5602    浙江   \n",
       "2   001696.SZ      重庆宗申动力机械股份有限公司  黄培国  黄培国  114502.6920   9459    重庆   \n",
       "3   002105.SZ    深圳信隆健康产业发展股份有限公司  廖学金  廖学湖   36624.1950   2477    广东   \n",
       "4   301322.SZ  广东绿通新能源电动车科技股份有限公司  张志江  张志江   14128.7878    663    广东   \n",
       "5   301345.SZ        浙江涛涛车业股份有限公司  曹马涛  曹马涛   10904.9071   3013    浙江   \n",
       "6   601777.SH        重庆千里科技股份有限公司   印奇  周宗成  452110.0071   6949    重庆   \n",
       "7   603529.SH        爱玛科技集团股份有限公司   张剑   张剑   86789.2982   9134    天津   \n",
       "8   603766.SH        隆鑫通用动力股份有限公司   李耀   龚晖  205354.1850  10529    重庆   \n",
       "9   603787.SH       江苏新日电动车股份有限公司  张崇舜  赵学忠   23014.3790   2251    江苏   \n",
       "10  920058.BJ        浙江华洋赛车股份有限公司   戴鹏   戴鹏    5605.6110    718    浙江   \n",
       "11  689009.SH              九号有限公司  高禄峰  陈中元  507500.0000   6995  None   \n",
       "\n",
       "           所在城市      注册日期                                               主要业务  \n",
       "0           杭州市  20031209  主营业务为全地形车,摩托车,游艇及休闲运动装备等后市场用品的研发,生产和销售.公司产品包括4...  \n",
       "1           台州市  19990328                               主要产品:摩托车整车,摩托车配件及加工.  \n",
       "2           重庆市  19890314                                   主要产品:摩托车发动机及零配件.  \n",
       "3           深圳市  19911028                            主要产品:自行车零配件和运动健身康复器材产品.  \n",
       "4           东莞市  20040511  公司是一家从事场地电动车研发,生产和销售的高新技术企业.公司主要产品为场地电动车系列产品,根...  \n",
       "5           丽水市  20150924  专注于户外休闲娱乐兼具短途交通代步功能的汽动车,电动车及其配件,用品研发,生产和销售,汽动车...  \n",
       "6           重庆市  19971201  主要产品:摩托车,摩托车发动机,乘用车,乘用车发动机,通用汽油机及终端产品(发电机组,水泵,...  \n",
       "7           天津市  19990927                               主营业务:电动自行车的研发,生产及销售.  \n",
       "8           重庆市  20070608              主要产品包括:摩托车及配件,发动机及配件,农业机械装备及配件和发电机组等.  \n",
       "9           无锡市  20070716  公司主营业务为电动自行车的研发,生产与销售.公司的主导产品为简易款电动自行车,豪华款电动自行...  \n",
       "10          丽水市  20040310              两轮越野摩托车和全地形车.公司专业从事非道路越野车的自主研发,生产和销售.  \n",
       "11  GrandCayman  20141210  主营业务为各类智能短程移动设备的设计,研发,生产,销售及服务.公司主要产品分为智能电动平衡车...  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#获取公司基本信息表\n",
    "\n",
    "# 获取目标公司春风动力的基本信息\n",
    "target_df = pro.stock_company(\n",
    "    ts_code='603129.SH',\n",
    "    fields='ts_code,com_name,chairman,manager,reg_capital,employees,province,city,setup_date,main_business'\n",
    ")\n",
    "\n",
    "# 获取同业公司的基本信息\n",
    "peer_df = pro.stock_company(\n",
    "    ts_code='001696.SZ,000913.SZ,002105.SZ,601777.SH,603766.SH,603787.SH,603529.SH,301345.SZ,301322.SZ,920058.BJ',\n",
    "    fields='ts_code,com_name,chairman,manager,reg_capital,employees,province,city,setup_date,main_business'\n",
    ")\n",
    "\n",
    "# 在获取九号公司数据时，我们发现它的注册资本是以亿美元为单位的，所以我们需要单独获取并进行处理\n",
    "jiuhao_df = pro.stock_company(\n",
    "    ts_code='689009.SH',\n",
    "    fields='ts_code,com_name,chairman,manager,employees,province,city,setup_date,main_business'\n",
    ")\n",
    "\n",
    "USD_TO_CNY = 7.25   # 用最新汇率来换算九号公司的注册资本\n",
    "jiuhao_df['reg_capital'] = 7 * 10000 * USD_TO_CNY\n",
    "\n",
    "#  合并所有数据\n",
    "company_df = pd.concat([target_df, peer_df, jiuhao_df], ignore_index=True)\n",
    "\n",
    "# 把字段显示为中文\n",
    "company_df = company_df.rename(columns={\n",
    "    'ts_code': '股票代码',\n",
    "    'com_name': '公司全称',\n",
    "    'chairman': '法人代表',\n",
    "    'manager': '总经理',\n",
    "    'reg_capital': '注册资本(万元)',\n",
    "    'employees': '员工人数',\n",
    "    'province': '所在省份',\n",
    "    'city': '所在城市',\n",
    "    'setup_date': '注册日期',\n",
    "    'main_business': '主要业务'\n",
    "})\n",
    "\n",
    "company_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "927de888",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 4：目标公司财务趋势分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "58538ce5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ts_code</th>\n",
       "      <th>ROE</th>\n",
       "      <th>毛利率</th>\n",
       "      <th>净利率</th>\n",
       "      <th>营业收入增长率</th>\n",
       "      <th>净利润增长率</th>\n",
       "      <th>资产负债率</th>\n",
       "      <th>流动比率</th>\n",
       "      <th>速动比率</th>\n",
       "      <th>总资产周转率</th>\n",
       "      <th>应收账款周转率</th>\n",
       "      <th>存货周转率</th>\n",
       "      <th>年份</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>603129.SH</td>\n",
       "      <td>16.0378</td>\n",
       "      <td>21.5293</td>\n",
       "      <td>5.2344</td>\n",
       "      <td>73.7109</td>\n",
       "      <td>12.7770</td>\n",
       "      <td>53.8360</td>\n",
       "      <td>1.5532</td>\n",
       "      <td>1.1796</td>\n",
       "      <td>1.2917</td>\n",
       "      <td>15.8768</td>\n",
       "      <td>4.9929</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>603129.SH</td>\n",
       "      <td>17.8729</td>\n",
       "      <td>25.3740</td>\n",
       "      <td>6.5032</td>\n",
       "      <td>44.7311</td>\n",
       "      <td>70.4321</td>\n",
       "      <td>55.0453</td>\n",
       "      <td>1.5086</td>\n",
       "      <td>1.1025</td>\n",
       "      <td>1.2985</td>\n",
       "      <td>15.1718</td>\n",
       "      <td>4.6836</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>603129.SH</td>\n",
       "      <td>21.7823</td>\n",
       "      <td>33.5042</td>\n",
       "      <td>8.7257</td>\n",
       "      <td>6.4364</td>\n",
       "      <td>43.6509</td>\n",
       "      <td>49.8535</td>\n",
       "      <td>1.5941</td>\n",
       "      <td>1.2503</td>\n",
       "      <td>1.2191</td>\n",
       "      <td>12.5010</td>\n",
       "      <td>4.3179</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>603129.SH</td>\n",
       "      <td>26.2045</td>\n",
       "      <td>30.0620</td>\n",
       "      <td>9.9339</td>\n",
       "      <td>24.1753</td>\n",
       "      <td>46.0778</td>\n",
       "      <td>57.3916</td>\n",
       "      <td>1.4398</td>\n",
       "      <td>1.1345</td>\n",
       "      <td>1.1928</td>\n",
       "      <td>11.8649</td>\n",
       "      <td>5.0168</td>\n",
       "      <td>2024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>603129.SH</td>\n",
       "      <td>24.4649</td>\n",
       "      <td>26.9371</td>\n",
       "      <td>8.7802</td>\n",
       "      <td>31.3040</td>\n",
       "      <td>13.8344</td>\n",
       "      <td>59.8487</td>\n",
       "      <td>1.3696</td>\n",
       "      <td>1.1130</td>\n",
       "      <td>1.1557</td>\n",
       "      <td>11.9381</td>\n",
       "      <td>5.3399</td>\n",
       "      <td>2025</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ts_code      ROE      毛利率     净利率  营业收入增长率   净利润增长率    资产负债率    流动比率  \\\n",
       "0  603129.SH  16.0378  21.5293  5.2344  73.7109  12.7770  53.8360  1.5532   \n",
       "1  603129.SH  17.8729  25.3740  6.5032  44.7311  70.4321  55.0453  1.5086   \n",
       "2  603129.SH  21.7823  33.5042  8.7257   6.4364  43.6509  49.8535  1.5941   \n",
       "3  603129.SH  26.2045  30.0620  9.9339  24.1753  46.0778  57.3916  1.4398   \n",
       "4  603129.SH  24.4649  26.9371  8.7802  31.3040  13.8344  59.8487  1.3696   \n",
       "\n",
       "     速动比率  总资产周转率  应收账款周转率   存货周转率    年份  \n",
       "0  1.1796  1.2917  15.8768  4.9929  2021  \n",
       "1  1.1025  1.2985  15.1718  4.6836  2022  \n",
       "2  1.2503  1.2191  12.5010  4.3179  2023  \n",
       "3  1.1345  1.1928  11.8649  5.0168  2024  \n",
       "4  1.1130  1.1557  11.9381  5.3399  2025  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import time\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "indicator_fields = 'ts_code,end_date,roe,grossprofit_margin,netprofit_margin,or_yoy,netprofit_yoy,debt_to_assets,current_ratio,quick_ratio,assets_turn,ar_turn,inv_turn'\n",
    "metric_name_map = {\n",
    "    'roe': 'ROE',\n",
    "    'grossprofit_margin': '毛利率',\n",
    "    'netprofit_margin': '净利率',\n",
    "    'or_yoy': '营业收入增长率',\n",
    "    'netprofit_yoy': '净利润增长率',\n",
    "    'debt_to_assets': '资产负债率',\n",
    "    'current_ratio': '流动比率',\n",
    "    'quick_ratio': '速动比率',\n",
    "    'assets_turn': '总资产周转率',\n",
    "    'ar_turn': '应收账款周转率',\n",
    "    'inv_turn': '存货周转率'\n",
    "}\n",
    "\n",
    "company_codes = {\n",
    "    '春风动力': '603129.SH',\n",
    "    '钱江摩托': '000913.SZ',\n",
    "    '宗申动力': '001696.SZ',\n",
    "    '信隆健康': '002105.SZ',\n",
    "    '绿通科技': '301322.SZ',\n",
    "    '涛涛车业': '301345.SZ',\n",
    "    '千里科技': '601777.SH',\n",
    "    '爱玛科技': '603529.SH',\n",
    "    '隆鑫通用': '603766.SH',\n",
    "    '新日股份': '603787.SH',\n",
    "    '华洋赛车': '920058.BJ',\n",
    "    '九号公司': '689009.SH'\n",
    "}\n",
    "\n",
    "def get_annual_indicator(ts_code, start_year=2021, end_year=2025):\n",
    "    frames = []\n",
    "    for year in range(start_year, end_year + 1):\n",
    "        period = f'{year}1231'\n",
    "        df = pro.fina_indicator(ts_code=ts_code, period=period, fields=indicator_fields)\n",
    "        if df is None or df.empty:\n",
    "            continue\n",
    "        df = df.sort_values('end_date').tail(1)\n",
    "        frames.append(df)\n",
    "        time.sleep(0.2)\n",
    "    if not frames:\n",
    "        return pd.DataFrame()\n",
    "    data = pd.concat(frames, ignore_index=True)\n",
    "    data['年份'] = data['end_date'].str[:4].astype(int)\n",
    "    data = data.rename(columns=metric_name_map)\n",
    "    data = data.drop(columns=['end_date'])\n",
    "    value_cols = [c for c in data.columns if c not in ['ts_code', '年份']]\n",
    "    data[value_cols] = data[value_cols].apply(pd.to_numeric, errors='coerce')\n",
    "    return data.sort_values('年份').reset_index(drop=True)\n",
    "\n",
    "target_name = '春风动力'\n",
    "target_data = get_annual_indicator(company_codes[target_name])\n",
    "target_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cb8c1cc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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GcPv27XhDLtu2bUvfvn1p2LAhYJoFtlGjRmzfvh1LS0vzDxOjRo3C0tKSU6dOxflcCyFEZidFnhBCpFM6nY49e/ZQq1YtunbtirW1NTNmzKB27drm2++//054eDj169enfv365mIv1uPHj83D/ADWrVuHv78/Z8+eZe/evYBpSOXLQxFf5uvryx9//EHPnj0xGo20atWKX375xfz8+fPnyZs3r7nYCQ0NfW1PXlRUFJs2bTIP0XtVUFAQzs7O8R6D/4aPxi5EHtt7WLFiRQ4cOMDkyZMZOHBggsVjYtq3b8/jx49Zvnz5a/eztLTEYDDEWUPup59+Ml/HZm1tjV6vx8/Pj379+tGgQQPGjx//2mOuWbMGCwsLc6GT0HuObYsjR46QL18+fvnlF3Q6HQMGDGDmzJk4OTmh1+sZPHgwAQEBcW61atWKM6uqn58fEyZMYMCAAQC0adOGFi1aEBoaypdffhnvz6RXr154eXnx4sWLOI/PmTOHgwcPAnDz5k3s7Oxo166duR3s7Ozi3F691i8qKorp06dz//59c7uXK1eO+fPnx1tE3cXFhVOnTnH69Glq1ar12vYUQojMRIZrCiFEOhQdHU3Lli159OgRI0aMIFeuXNjb2zN37tx4+/bv35/Lly9Ts2ZNBg0axPPnz+nTpw/h4eE8ffqUggULAqYhh926dWPp0qUcO3aMb7/9lrNnz+Lu7o63tzeKosRbimD69OnUrVuX0qVLAzBy5Ei+/vprevXqhYeHBydPnjQPfQRTD9Sr19S9bMaMGTx79ozu3bsn+Pzz58/N54r16NEjtFqteQjmq0VevXr1+Oyzz8ibNy/ffffda9v1VdmzZ6dPnz4MHDiQunXrkjNnzkT3je0BjPXTTz/x8OFD8/0FCxYwZMgQnJycWLBgAV26dEn0WKGhoUycOJHWrVsnWJTGLgAe25bVqlWjV69ejB8/njZt2sTLZW1tHa84trCwiPPn2bZtW3Lnzk337t0ZOnQoWq2WVatW8fjxYw4dOhRnKCbADz/8QKlSpRg6dCjTp083P37//n3z9X2FChXi/Pnz5ms6O3XqFO+97NmzJ87i9LNnz+bbb79NsF1q164d77EvvviCFStWJLi/EEJkVtKTJ4QQ6ZClpSUbNmzg3Llz5i/18+bNi9OTFHubNm0aTk5OjBw5kvv379OnTx/AtLabra0tRYoU4eDBg3h5efHdd9/xySefMGzYMO7evcvatWspUKAAYWFh3LhxI86X8ZMnT/LLL79QokQJpk2bxjfffMOyZcsICQlh4sSJhIaGsnHjRlq3bm1+zet68k6fPs2IESPo1KkTxYoVS3AfHx+fOD2PsTly585tnnHz4cOHaLVa8/VqsQVRhw4dzOe+e/fuG9s4KiqKNWvWMGbMGFxcXPDy8sLX1/eNr0tMQEAAY8eO5datW3z55ZfxCuZYiqLQtWtXAgMDGTNmTIL7+Pj4AMRpizlz5sQr5GKNGTMm3udiz549cfbp06cPa9asibcm4uTJkylWrFi8awMLFCjA4MGDmTVrFqdOnQJMPbu+vr5s2bLF/FmJvSY0NDSUixcvcu3aNW7cuMGtW7e4desW4eHhcSb26dq1K48fP+bZs2fmXseGDRtSoUKFeL2R5cuXNxeUQggh/iNFnhBCpFOvLmDes2fPONeExd6++eYb8z4vFxbbt2+nRo0aREZG0qlTJ7p3724uKtzc3Ojbty8bNmwgT548uLm5cfDgQb7++mt27txpfn1ERATLly/njz/+QKPRmK+l2rt3r7k4erk4SGzilZMnT+Ll5UXu3LmZOnVqgu/3+fPnPH36lFy5csV5/NChQ5QtW5Z79+7RvXt3+vbtS4ECBdBqtaxbt47+/ftTq1Yt5syZg4+PD6GhoRQvXpwdO3Yk2rYXL16kSpUqtGvXjlu3brFp0yaePn1KuXLl4hVHsQwGAy4uLubb5MmT4zw/ePBgvv32W/P7f7lgjhUTE0P37t1Zt24dv/76K4ULF07wXJcuXcLd3T3BRewTMmrUqHifi7p168bZp3Xr1hQpUiROrhs3bjBr1iwGDx5s/uy8/Pw333xD/vz5uX37NgCHDx/G2tqaHDlyMHz48DjHP336tPmaxEqVKlGxYkUqVarEtWvX4kzs4uDgYL7e08nJiTlz5rBz507Gjx+Ps7NznNujR4/Inz9/ktpACCEyExmuKYQQmVBYWBi//fYbkyZNwtbWlmPHjsXrIRs2bJh55sXGjRsza9YsHj58iJubm7nXr2PHjuZlBF4+9p9//slnn33G1q1bzV/g/f39uXXrVpwZIQ0GAzNmzGDIkCHkypWL3bt3x1lSwc/PjyVLlhAcHMyWLVvizHwJpmv+jh07xooVK8iTJw937tyhdOnS9OrVix9++IHx48fz66+/0rt3b8qVK0eTJk3o06cPERER8ZZuiD2fwWCgfPnyFCpUyFxAAuzdu5fmzZtTr149GjduzLhx4+IMHX11FtIhQ4Zw7949wLTMg7e3t/m5J0+eUL58eZYuXWqeFfTmzZt06tSJo0ePMm7cOPPSBrG2bNnClStXuHXrFsuXL483u+WpU6fw9vbm5s2b1K9fP85zY8aMSbBXsHr16vEei4qKMv+3UKFCbN++nbp167J48WLOnDlDcHCweZios7MzN27cMBeAc+fOpXHjxsydO5fff/+dYcOG8cknn1C1alWKFCnCoUOHsLW1NS/LERkZSVhYGAEBAfj6+uLp6QmYJnXZtm0bU6dO5eTJk8yZM8e8/EJoaKi5J9LHx4cPPvgg3nsQQohML9WWXRdCCJFi2rZtqwCJ3po1axZn/wkTJihZsmRRQkNDk3T88+fPKzqdTtHpdMqtW7deu++WLVsUvV6vDBw4UFEURQkNDVVKlCihWFhYKI6Ojsr9+/fN+3bs2FEBlHr16inPnj1L8HhFixZVAMXT01MZP358nOfq16+v5MuXT4mIiDA/9vDhQ6VEiRKKi4uLsnHjRvPjZ8+eVVxcXBRAcXFxUaKiouKdq127dgqgfPXVV3GOGcvf31/p1KmTUrt2beXFixfmx0+dOqXodDrz/R49eiiurq5K165dFUVRlLFjxyoWFhbmNtRoNEq5cuWUkJAQRVEU5eLFi4qdnZ1ib2+vrFy5MsF2WL16tQIoOp1O+fDDD5WbN2/GeX7WrFmKi4uL8uGHHyp37941P167dm1l8ODBSkBAQJxbrVq1lO+//z7eeZ48eaIAysWLF+M8/vPPPyuVKlVSxo0bpxiNxnivCwsLU8qXL6/s37/f/JjBYFD++usvZcCAAUqdOnWUvHnzKvb29vE+n87OzuY/j65duyp6vV6xtrZWunbtGu999u/f3/y6unXrKgaDIcH2EkKIzEyjKAmMFxFCCJGutG/fHk9PT6ZMmRLvuf79+3Pt2jXzMEsw9SQdPXo0zvVyb7Jjxw5evHgRb2KPV/n4+DBr1ixGjx5tnhp/7dq1aLVaateuHWeh9vDwcNavX0+HDh0SvUbt+vXr2NjYkDt37njP+fv7c+fOHSpUqBDn8RkzZtC8efN4r3n06BGLFy+mUqVKeHl5xTvekydP2LNnDx06dHjtezQYDHFmhTx8+DC1atUy9+QNHDiQnTt3smTJkgSXQEjI33//Tf78+eP1jMZ68eIFN2/epFChQm9chuJlVatWpUGDBvGWS0gJoaGhcZbkSIyiKMTExGA0GtHpdOh0OvOf/7Vr1zhx4gQtWrRIsLf16dOnnDlzhqJFi8pQTSGESIQUeUIIIUQye7UIFEIIIVKTFHlCCCGEEEIIkYHI7JpCCCGEEEIIkYFIkSeEEEIIIYQQGYgUeUIIIYQQQgiRgUiRJ4QQQgghhBAZSIZaDN1oNPLkyRMcHBwSnYpbCCGEEEIIIdIjRVEICQkhe/bs5mWKEpKhirwnT56QK1cutWMIIYQQQgghRIp5+PAhOXPmTPT5DFXkOTg4AKY3ndACqmowGo34+fnh4eHx2mpbJD9pe3VIu6tD2l0d0u7qkHZXh7S7OqTd1ZFW2z04OJhcuXKZ657EZKgiL3aIpqOjY5oq8iIiInB0dExTH5DMQNpeHdLu6pB2V4e0uzqk3dUh7a4OaXd1pPV2f9OlaWkvsRBCCCGEEEKIdyZFnhBCCCGEEEJkIFLkCSGEEEIIIUQGkqGuyRNCCCGEEEJNiqIQExODwWBIluMZjUaio6OJiIhIk9eGZVRqtbtOp8PCwuK9l4OTIk8IIYQQQohkEBUVhbe3N2FhYcl2TEVRMBqNhISEyDrQqUjNdre1tSVbtmxYWVm98zGkyBNCCCGEEOI9GY1G7t69i06nI3v27FhZWSVLcRDbM5gcvTsi6dRod0VRiIqKws/Pj7t371KoUKF37kWUIk8IIYQQQoj3FBUVhdFoJFeuXNja2ibbcaXIU4da7W5jY4OlpSX3798nKioKa2vrdzqODOwVQgghhBAimch1c+J9JcdnSD6FQgghhBBCCFX5+/snebKa0NDQdz6P0Whk06ZNce4vWLAgWa+jfFlAQACPHj1KkWO/jhR5QgghhBBCCAC+/vprxowZY74/bNgwunXr9trXTJ06FXt7ewB+/vlnihYt+sbzjB07lm+//dZ8/9tvv+WTTz554+v++ecf8ufPz549e964L5gKQo1GQ2BgIGAaVvv999+bC72rV6/Sv39/8/OvKlSoEDt37ozz2IQJExg6dGiSzj9hwgR69uyZpH2Tk1yTl4IMRoXjd55z65E/BUN1VM7vjk4rY6mFEEIIIUTCDEaFE3f98Q2JwNPBmop5XVL0fNeuXaNu3bo4ODhgbW3N48eP0el0bN68GYCnT59iMBg4deoU0dHRBAcHc/r0aTw9Pc3H8PDwwMHBAQAHBwecnJwSPNe9e/c4ffo0rVu3xtraGr1eD5gKsT/++IMDBw6Y942dhCR2n1g1atRg8ODBNG3alC1btvDxxx+/9v3Z2NgAmGeqtLa25pdffuHBgwcA/P3333Ts2JHs2bMn+Hpra+s418WtW7eO//3vf6xcuTLevitXrmTQoEG4u7ubzxccHIzBYKBChQrm9xUQEECePHnYt2/fa7O/DynyUsjOS96M2XYF76CIfx+5SzYna0Y1LY5XyWyqZhNCCCGEEGlP/O+PkNXJmhENi9C4TI4UOWfRokV5/Pix+X6/fv3Inj07w4YNA2DcuHE8efKEmTNnxnlddHQ0Go0GCwsLbG1t4xRRlpaW5v1u3bpFwYIFAbh8+TKTJ0+mdevWcY61dOlSwsLCqFWrFmAq+nQ6HVFRUYSEhMQpsjQaDQMHDsRgMPD5559z/fp13N3dE31/Op0OMF3n5uPjQ86cOSlTpgwA3333HUWLFsXS0hI3Nzf+97//0bdv30SPtWXLFrp3786mTZvw8vKK9/wXX3zBhx9+SK5cuQC4ePEijRo14tixY2TJkgULC1PpdeLECcqVK5foeZKDDNdMATsvedN7xZk4f0EBngZF0HvFGXZe8lYpmRBCCCGESIsS+/7oExTBV2vOs/PS0xQ794gRI/juu+/47rvvsLa2xt/f33zf398fa2tr8/1Ro0YRExNDoUKF+P333wFT4ZXQDJRBQUEULVqU9evXA6DX6+P1zEVERDBp0iQOHTrEs2fPePbsGfny5ePEiRNER0cnOrtkt27dCAoKYvz48Ym+r8jISBRFAUzX3mk0Gtzc3Pjuu+/YvXs32bJlY9WqVTRs2JAGDRrEy/ayBQsW0Llz50QLPAA/Pz/Kly/PzJkzMRqNDBw4kBEjRqDRaChatCiXL1/myJEjNGjQgB07diR6ruQgPXnJzGBUGLPtCkoCzymABhiz7Qr1i2eVoZtCCCGEEBmUoiiERydtIhGDUWHU75ff8P3xMjUKJe3SHxtL3VtN+z9v3jymTp1KlixZXrvfw4cPGTlyJGPGjKFKlSqsWLGCVq1aJbr/gQMH0Ov1NGzYMNF9Jk2aRNasWfHy8uLp06doNBoePXpE7ty5X5tlwYIFlCxZkvnz5zNy5MgEh4iWK1eOkJAQwNRjGZt1586d3LlzB4DVq1dz5MiROMM1g4KCsLS0xGAwmIeNuru7s27dOqpXr05ExH+FeOyQUr1ej4eHB4cOHWLu3LkMGDCAy5cvU7p0aVq1akXfvn0pXrw4devWZd26ddSvX/+17+99SZGXzE7c9Y/3C8zLFMA7KIITd/2pWsAt9YIJIYQQQohUEx5toPjIXclyLAV4GhxJqdF/JWn/K/9rgK1V0r/mW1hYUKNGDRYvXszq1avjrfP34sULOnbsSKdOncy9d+3bt6dNmzYEBQUletzdu3fTsmVL86QsCXn48CFr1qyhVq1anDt3DmdnZ9zd3c3X+CUkNDSUyZMn8/vvv9O7d2+WLVvG119/HW+/y5cvA6aexhs3bhAUFMTKlSvp0KEDYWFhREdHU7hwYcqWLcuyZcswGo0AfPTRR1y5cgWdTkd4eDjNmzc3b1tZWZmHgMYWgGvWrDEPQS1cuDCffvoper2e2rVr8+OPP/Ltt98SFRWFj48P33zzTaLX/yUnGa6ZzHxDEi/w3mU/IYQQQgghUpK3tzd58uQhKiqKr7/+mnPnzsW5de3alejoaHLnzm2ekOXjjz9Gr9eb778qIiLCXFC9zoIFC8ifPz8tWrRgy5Yt7N6923xtXmLGjh1LwYIFqVq1Kl9//TWTJ08mKirqje/T1taW4cOHc/HiRW7fvs2gQYPw9/fn4cOHfPTRR1SsWBGA06dPExYWRkBAAMWKFWPHjh2EhobSvXt3vv76a0JDQwkNDeXFixdER0ebC7wLFy7QsmVLBg8ezPXr1xk0aBCVK1fG39+f6dOn06ZNG4xGI/Xr13/tMNPkID15yczTIWmr0id1PyGEEEIIkf7YWOq48r8GSdr3xF1/Oi85+cb9lnapSKV8rkk697vQaDT88ssvzJ07N87jISEhdO7cOc5jVlZWNGrUiLVr1ya4RMC6deuwsrKiXr165sdOnDjBtWvXzD1lLx+zQ4cOtGrViqxZszJ27NhEM545c4Zp06Zx+PBhwNSjOHr0aCZNmsSIESNe+/4cHBwwGo1Mnz493nOOjo7079//ta/v06cPNWvWpG/fvgkOJz158iR58uRh48aNLFu2jM8++4x79+7x119/sXr1aoYOHcoHH3zA4cOHzbN7phQp8pJZpXyuZHOy5mlQRILjqgEsdRrye9ilai4hhBBCCJF6NBpNkodM1izk8drvjxpMs2zWLOSRonM6jBs3jnHjxiV5/9GjR+Po6Mjx48fjPdewYUNy5MhhHtoIpjXn+vTpQ6tWrdi5cyfPnj0zP1epUiXs7OwICQmhQYOEi2M/Pz8++eQTvvrqK/PslFZWVvz000906dKFMmXK0LRp0wRf++uvv3L//n3y5MlD+/bt4xSS9+7do0qVKm98vwULFqRdu3Z89tln7NmzJ86wVkVRaNu2LZ06dUKr1dKlSxfAtIbgqVOnKFasGFu2bDHvmy1bNqKiosyzkiY3KfKSmU6rYVTT4vRecQYNJPgXNdqg0HrOERZ1qkiRrImPNxZCCCGEEBnf674/xpZ0I5sUT9ECb+zYsfz6669ky5bwUl++vr7Uq1ePVatWmR8rUqRIosfz8PCgbt26cR57ebHzVxcYHzt2LN7e3lhZWbFhw4Z4C6M/ffoULy8vihYtGm+oY4cOHfjjjz9o1aoVv/76q3kZhN69e7Njxw48PT159OgRHTp04J9//mH+/PnmggtMy0G8Tnh4OAMHDmT37t0cOnSIjz76iDp16rB27Vry5s0LQGBgIBUrVkSv18dZQsLPz4/w8HA++OAD82OKohATE8OgQYPi9ZAmFynyUoBXyWzMaV8u3jon2Zys6VkrP0sO3+P+8zBazznCzHZlqV3E8zVHE0IIIYQQGV1i3x+zOlkzvGERvEpmTdHzW1lZ8fnnn8dbDy/W6NGjefrUtIxDWFgYiqJga2v7xlk8Y2JiCA4OxtU17jDT2KUNbt26xdChQzl8+DC7d+8mJiaG5s2bs2HDBvr27UuNGjXME6wUKFCANWvWxOkdjLV8+XIiIiL46quvuHbtGjNnzqRgwYLMmTOHBg0amF/zzz//0KNHj3g9eZUrV04wf2BgIG3btiVfvnzMnTsXBwcH/v77b9q2bUuxYsXo1asXY8eOxcXFhVu3bsV7fWxP3ooVK17bTslNirwU4lUyG/WLZ+X4nWfceuRHwZweVM5vmva2eZkc9FxxmhN3/fly6UlGNytBx6p51Y4shBBCCCFUFPv98cRdf3xDIvB0sKZiXhcUY9KWYngfUVFRrF69mv379yf4fGxPHsD8+fP59ttv0Wq1cYq82MW+X942GAzodDpiYmLiHC8yMhJfX19atmxJoUKFOH/+PB4eHgCcP3+eH374gQULFlCjRg20Wi3Vq1dnxYoVia6bZ2lpycaNGxkzZgz9+vUDTIudvyo8PDzBnrzIyMh4+z59+pSgoCB69OjBhAkTzD10zs7O7Ny5k/nz5xMaGoqdXeKXYUVGRiZ47JSmUWLL6AwgODgYJycngoKCcHR0VDsOYFp40dfXF09PT7Ta/yYzjYoxMmzzRTacfgRA52p5GdG4GBY6mfA0uSTW9iJlSburQ9pdHdLu6pB2V4e0++tFRERw9+5d8uXLl2gh8i5ih/ZZWFi81dp3KSl2nbikvE9FUQgJCUn0u3l4eDg2NjbJmi85xLb748ePzUMyU8vrPktJrXfkb6hKrCy0/NymNN97mcYyLz1yj26/nSIk4vVjgoUQQgghhFCTtbV1kgtZjUbz2mIkLRZ4L8uTJ4/aEd6JFHkq0mg09KldkDlflMPaUsv+6360mXOURwFhakcTQgghhBBCpFNS5KUBDUtlY13Pqng46LnuE0KLWYc58yBA7VhCCCGEEEKIdEiKvDSidE5ntvatTrFsjjwLjaLt/GNsO/9E7VhCCCGEEEKIdEaKvDQku7MNG3pVpW5RT6JijHy1+izTdt8kA82NI4QQQgghhEhhUuSlMXZ6C+Z3rEC3GvkA+HX3Db5de46I6JSfOlcIIYQQQgiR/kmRlwbptBpGNCnOuJal0Gk1bDn3hPYLj/M8NPXX2BDirRgNcO8Q1je3w71DpvtCCCGESFeio6P5/fffiYqKeqvXvct6cNHR7z6z/ObNmzEY/vuusWTJEvz9/d/5eK8TGhrKnTt3UuTYKUGKvDSsXeXcLOtSCQdrC07dD6DF7MPc9AlRO5YQCbvyO0wtifa3pjjvGYj2t6YwtaTpcSGEEEKkWc+ePYtzf/HixXTs2BFvb+9EXxMaGsqVK1fYvHkzQ4YMoVq1ajg6OrJ79+44+9WtW5cFCxaY769cuZJr166Zj1GkSBFu3LiBoihvLBLd3d05d+4cYFrHbsqUKUybNg0wrR/Xo0cP7t+/n+Br69Wrx9y5c+M8tnr1ajp27BinUEzM8uXLadas2Rv3SyukyEvjahRyZ3Of6uR2teWhfzitZh/hn5t+ascSIq4rv8O6jhD8ymRBwd6mx6XQE0IIIZLGaIC7/8DFDab/pvComPv371OwYEE2bdoEwO3btxk0aBAODg7UqlWL7Nmzo9Vq2b59e5zXTZs2jR49erBz504mTpzI8OHDefz4MfXq1Yuzn7W1NZaWlub7Hh4etG3bllOnTmFvb8/gwYMZN24cT548wcnJCScnJ5ydnbG3t6dy5cpxjmVjY4OVlRVgWops2rRpPH36FIC9e/dSr149ypYtm+D7fHVtv3/++Ydu3bpRuXJldDpdnH3/+ecfsmbNSpkyZahYsSIVKlRg+vTphIaGUqFCBfOtUKFCFCpU6G2aO9WoUuQtXboUjUYT77Z06VIOHDhAsWLFcHd3Z8qUKWrES3MKetqzpW91KuZ1ISQyhs5LTrLiWMK/UgiR6owG2DkYSGiCoH8f2zlEhm4KIYQQb/LvqBiWNYGNXU3/nVYKzbXtb37tO8qTJw/r1q2jS5cuHD16lKZNm9KzZ08ePnzIvXv3aNasGX379qVJkyZxXjd8+HAOHTrEvHnzAKhcuTLu7u4AHDhwgKxZswKmYuxlH3/8MWfOnKFChQpUrVqV/Pnzs3TpUnLkyEFERARBQUEEBgayYcOGeAuu63Q6tFpT+WJjY0P37t3Zu3cvDg4ODBkyBD8/P7Jnz86gQYNe+56PHj1K8+bNmTFjBn379o33fM2aNTl58iTnz5/n5MmT/PHHH4SEhLB161aOHTvGqVOnOHXqFBs3buTs2bNv0dqpR5Uir127dgQEBJhvDx8+xN3dnWLFitGsWTM+//xzjh49ysqVK9m3b58aEdMcVzsrVnSrTKuyOTAYFUZsucT/tl3BYJSZN4XK7h+J34MXhwLBj037CSGEECJhrxkVo9vYBa6m3KiYjz/+mJs3b7J161ayZ8/O3LlzyZkzJx4eHixfvpwtW7aQK1cuc6+VwWDg119/ZebMmcycOROARYsWMWPGDKZMmYJer0ev18c7z/jx4/nf//5nvm8wGNDpdNSoUYNcuXKRN29ecufOTaNGjYD/CsTIyEiMRiOAeVinXq9n9OjRrF27lvLlyzN//nwaNGjAJ598kuC5Y23bto2GDRsyffp0vvzyywT3iYyMpF69egwdOhRFURg2bBgdOnSgYMGCfPDBB+zdu5fr16/j5eXFb7/99g4tnvIs1DiplZWVuasVYPbs2bRs2ZKjR4+SPXt2fvjhBzQaDSNHjmTRokXUqVNHjZhpjt5Cxy+fliG/hx2T/7rB4sN3uff8BdM/L4u9XpU/SiEg1Cd59xNCCCEyAkWB6LCk7Ws0wI7vSWhUjAYFBQ3sGAL564BWF//1r7K0hVd60N7E09OT8ePHEx0dbf6e3qRJE9q0aUPnzp05deoULVu2BEyFlre3N5aWlubr9nx9fdHr9URGRqLVauP14AE0a9aMVq1asX//frZs2YJWq0Wr1fLXX39hZWWFtbU1UVFRREVFsX//fvPrmjdvzuXLl/H29qZevXp4eXkBcPjwYbZt2wbAX3/9xbp16/jkk0/MrwsJCTH3/hmNRqKjo3Fzc2PGjBm0adOGiIgI877R0dFYWFhgY2ODXq/n4MGDjBo1ip9//pn169fTvXt3WrRoQYMGDahduzZffPEFEyZMoGPHjm/VzqlF9cogIiKCadOmcfz4ccaMGUOdOnXMH4pKlSoxZMgQlROmLRqNhn4fFSKfuz0D1p1j7zVf2sw5wqLOFcnhbKN2PJEZ2WdJ3v2EEEKIjCA6DMZlT5ZDaVAg5AlMyJW0Fwx7AlZ2b30eg8GAwWBAUZQEizSdTkdERAQ6nY5JkyYBmL+r58mTh6+//hqAU6dOJXj8EiVKcOTIEWbPno2jo6P5cQsLC/MwTIPBYN6OtXPnTgDy5s3Lzp07KVq0KKtWraJhw4Z4e3tz7tw53N3dGTVqFIcPH8bFxQWATp068eeff2JhYUFERAR79+7FwsKCyMhIunXrFudawaioKMaPH8/AgQMByJIlC126dMHJyYlixYoxZcoUvLy8KFq0KNevX6dnz55xOq3SGtWLvFWrVlG5cmXy5s1LcHAwxYsXNz/n6OjIkyeJDwOLjIyMMwtPcHAwAEaj0dylqzaj0YiiKMmep2HJLGR3qkz35ae59jSE5jMPsaBDecrkck7W86RnKdX24hW5qqCxzwqhT0noN0MFwNoZJVcVkD+LFCOfd3VIu6tD2l0d0u6vF9s+sTcUJcH/L6aG2PO/jUWLFhEaGsrPP/+MhYUFGo0GX19fjh07xujRo4mKisLX15f8+fOzfPlyPvroIx48eGCeOXPGjBkAfPXVV6bzx+b497+x266urowYMSLOcwMHDuTvv//GYDBQuHBhevbsSZkyZeIc4+X3pigK48eP58yZMwB8/vnnKIqCn58fhQsXpmzZsiiKwsaNG82va9q0Ka1bt6Zz585MmDCBc+fOsWbNmgTb7s6dO4wdO5bTp08zYsQIJk6cSMGCBbGzs2PatGk8fvyY6dOn07VrV7y8vJgxY0aCRfG7in2PCdU0Sf37p3qRN3fuXEaPHg2YqviXx9BaW1sTFpZ4N/f48eMZM2ZMvMf9/PzidL+qyWg0EhQUhKIo8X6VeF/Z9LDw0yIM/P0Wt5+F03b+MUY2yEfdwi7Jep70KiXbXsTl4lwQfehTFIjzPzTz/YhAwjf0IrjGSLBIfJy8eHfyeVeHtLs6pN3VIe3+etHR0RiNRmJiYoiJiQGNFQxK2kR5mgdHsVjb9o37xXy2BiV31SQc0ApiYpJ0boDnz58zYMAAdu/ezZUrV9Dr9eh0Olq0aEGrVq3o2LEjp0+fpm3btty8eRMw9Xx17tyZPn36MHbsWFatWkXjxo0pW7YsOp0ORVGIiYkxFysxL+UZOHAggwYNQlEUDAaDebJFGxsbbty4AcCuXbvMx4jTBv+2r6enJ8OGDUvw/Zw+fTre617O0aFDByZMmMCxY8eoUKFCvNffvHmTFy9ecODAAQ4cOECtWrWIjo5m0aJF/Pbbb0yYMAEXFxcOHz7MsWPHkrQEw9uIiYnBaDTy/PnzOL2NYBqCmhSqFnm3bt3i1q1b1K9fHzBV9n5+/y0PEBIS8tpu0KFDhzJgwADz/eDgYHLlyoWHh0ecLmA1GY1GNBoNHh4eKfIPoqcnbO6blW/WnGPfdT+G/3kH/+hC9KldIFl/UUiPUrrtxb+8z6N5dNi0besGYc//e84xB8bc1dBc3ojttQ3YBN1C+WQZOOdWJ2sGJp93dUi7q0PaXR3S7q8XERFBSEgIFhYWWFj8+xXb0ilpLy5cH8UxOwR7m4ZmvkJBA47Z0RWun7Rr8t7SpEmTaNiwIRUrVqR06dIEBQWh1Wrx9fXl+PHj/Pjjj4BpCGPse+vfvz+BgYGMGDGCsWPHkjdvXvbu3Uvx4sU5ePAgUVFR5h5BrVZrft25c+dYtWoVY8eONT9nMBjM3/l1Oh2RkZHodDo0Gs1/bfmvVatWcevWLVq2bEmNGjVYvnx5nOe1Wi22trbxXvdyDhcXF4YOHUrHjh05dOgQnp6ecfatUaMGH330EWC6HrB58+Zs2bKFs2fPUqpUKVauXGne18vLC4PB8NrJXt5W7PBVNze3eDOMvno/0WMkW5p3sG7dOpo0aWKuUCtWrMiqVavMz589e5YcOXIk+vrEZu6JvYgzrYj9UKVUJkcbKxZ2qshPf1xl8eG7/PL3Te4+D2N8q1LoLZL/H4L0JKXbPtNTlP+WTyjZGk2rBRjvHSb48Q0ccxRGm7c6Gq0Oyn4BG75E430OzYLa0HoRFKyrdvoMRz7v6pB2V4e0uzqk3RMXO9lI7O2t6CzAa6Jpdk00vDwBi3nQp9d4NLrk/+p+6dIl5s2bx9mzZ9FoNFy8eNH83MsTr7zswoULbN26lb1795q/i2s0GkqWLAmY5tU4ePCguR1ebpOpU6fSs2dPc4eMr68vZcqUwdLSkqJFi1KqVCnzQuexrx05ciTr1q0jMDAQb29vunTpQnBwMNu3b6dUqVLx3lNifwZGo5FJkyYxe/Zszp07x5EjR6hZsybr1683Dw8FqFatGgaDwVykAgQFBeHn5xdvHb6YmBjatm3LiBEjkt7obxCbP6G/a0n9u6dqkbdz5844H5rYdTh2795NrVq1mDRpEg0aNFAvYDqi02oY2bQ4+T3sGPX7ZTadecxD/zDmdaiAq13avShUpHMX1sLD42BpB/V/NP26mLcGEbaFcfT0hNh/iArUgZ4HYV0HeHIWVrSGj4ZDjYH/7SOEEEJkZsWbwae/mX48fXkZBcfsGOr/hK5YsxQ5rZWVFcOHD6dw4cLxnnt1yGOs0qVLc/XqVWxsbOJdfwdga2tLjhw5uHXrFr6+vubC5MqVK6xZs8Y8JFNRFLJkycL169fjnWPjxo3mAitPnjyMGTOGFi1amIvKNWvW0KRJE1asWBHndRqNJt51fAABAQEMGDAAV1dXZs+ejYuLC+vXr6dHjx6UL1+ejh07Mn78eLJkycKFCxfMQ0VjC70tW7YwefJkDh069MY2TQtUK/LCw8M5fvw48+fPNz/m7u7Or7/+SqNGjbC3t8fZ2ZmlS5eqFTFdal8lD7ldbem78gwn7wXQYtZhFneuSEFPe7WjiYwmIhj++sG0XWsQOCXe6w6Acy7ostM0RfSZZbB3LDw+Ay3mgI1ziscVQggh0rzizaBoY9PasqE+ppmpc1dFScF1kQsXLhzv2rZDhw4xcOBAzpw5w7fffpvg62xsTLO6R0dHA8SZDBFMRVW1atWoXLmyeejjtWvX6N69O3ny5DG/JioqKt6xv//+e7Zt28bgwYMB6Nq1a7x9wsPD2b59u7n38GWRkZHmfLH37969S+PGjZk/fz729qbvxXq9nmXLltGyZUuOHTsWb9jmq8d89T2mZRoloVJXZXfv3uXatWvUrFnT/IeQFMHBwTg5OREUFJSmrsnz9fXF09MzVYc23PQJ4ctlJ3noH46DtQVzvihPjULuqXb+tECtts80dg2HozPBrSD0PmKeUCVJ7X7mN/jjOzBEgmt++GwFZCmRiuEzHvm8q0PaXR3S7uqQdn+9iIgI7t69S758+ZJ83VRSvNqjlBpCQ0NZsWIFlStXjjc8Mb168OABuXMnfU4ANdo91us+S0mtd9Lk39B8+fLRsGHDtyrwRFyFsjiwpU91KuRxISQihk5LTrDq+AO1Y4mMwvcqHJtj2m448e1nzCzXEbruAqfc4H8HFtaDixuSP6cQQggh3pq9vT29evXKMAUe8FYFXkaQJos8kTzc7PWs6FaZFh9kx2BUGLb5Ij9uv4IhBbv8RSagKKYhl4oBijaBgvXe7TjZy0LPA1DgI9OCsRu7wo7BYIhO3rxCCCGEEJmMFHkZnLWljl8/+4AB9U0X0y46dJeey0/xIjLpa6cIEceVLXD3IFhYQ4Of3u9Ytq7wxQb4cJDp/vG5sLQJhDx975hCCCGEEJmVFHmZgEaj4eu6hZjxeVmsLLTsvupLm7lHeRIYrnY0kd5EvTBdiwdQ41twyfv+x9Tq4KMR0HY16B3h4TGY96HponMhhBAinUmD012IdCY5PkNS5GUiTctkZ02PKrjbW3HVO5gWsw5z4VGg2rFEevLPLxD82LSYefVvkvfYRRtBj/3gWdw0o9iypqbr/uR/lkIIIdKB2HWfw8LCVE4i0rvYz1DsZ+pdqLpOnkh95XK7sLlPdbotO8V1nxA+nXeUXz/9gIalsqkdTaR1z2/DkRmmba8JYGnz+v3fhVsB6LYbtn0DF9fDziHw6CQ0nQ56mYhJCCFE2qXT6XB2dsbX1xcwrRWXHLMyqjnLY2amRrsrikJYWBi+vr44Ozuj0+ne+VhS5GVCuVxt2dC7Kl+tPsv+6370XnmGQQ2K0Kd2AfnHQyRMUf6dFCXKNNFKkUYpdy4rO2i1AHJWhF3D4NJG8LliWmbBvWDKnVcIIYR4T1mzZgUwF3rJQVEUjEYjWq1WvqelIjXb3dnZ2fxZeldS5GVSDtaWLOxYgbF/XGXpkXv8vOs6d5+9YFzLUlhZyChe8YobO+HW36C1BK+JkNL/2Gk0ULknZC0N6zuB31VYUAdazjUtEiuEEEKkQRqNhmzZsuHp6WleJPx9GY1Gnj9/jpubm6xPmIrUandLS8v36sGLJUVeJmah0zK6WQnye9gx+vfLbDj9iAf+YcxrXx4XOyu144m0IjrC1IsHULVv6vam5akKPQ/C+i7w4AisaQc1BpgmatG+/z+AQgghRErQ6XTJ8kUdTMWGpaUl1tbWUuSlovTe7ukvsUh2HavmZXHnijjoLThx15+Wsw9z2y9U7VgirTgyHQLvg0O2/5Y6SE0OWaHT71Clj+n+oSmwohW8eJ76WYQQQggh0gEp8gQAtYt4srFPNXK62HDveRgtZx3myO1nascSagu4b5pRE+DjsepNfqKzBK/x0HoRWNrCnf0wvxY8Pq1OHiGEEEKINEyKPGFWOIsDW/pWp1xuZ4IjYui46ARrTjxQO5ZQ01/DISYC8tSAkq3VTgOl2kD3veBaAIIewmIvOL1M7VRCCCGEEGmKFHkiDnd7Pau6V6FZmezEGBWGbLrIuD+vYjDKWmWZzq09cHUbaHTQaFLKT7aSVJ7FoMc+KNrENNvntq9haz/TtYNCCCGEEEKKPBGftaWOaW0/oH+9QgDMP3iHXitOExYVo3IykWpiov6bbKVSD8hSQt08r7J2gk+XQ91RoNHC2eWwuAEESs+zEEIIIYQUeSJBGo2G/vUKM63tB1hZaPn7ig+fzD2Kd1C42tFEajg+F57fBDsPqD1E7TQJ02qh5gBovwlsXMH7HMz70NQDKYQQQgiRiUmRJ16r+Qc5WN29Mm52Vlx+EkyLWYe5+ChI7VgiJQV7w4GJpu16Y8DGWdU4b1SgjmmZhexlITwAVrSGgz+D0ah2MiGEEEIIVUiRJ96ofB5XtvStTiFPe3yCI/l03lF2XnqqdiyRUv4eCVGhkLMilPlc7TRJ45wLuuyEcp0ABfaOhbVfQHig2smEEEIIIVKdFHkiSXK52rKxTzU+LOxBeLSB3itPM/fAbRRFJmTJUO4dhovrAA00+tk0JDK9sLSGZtOh2QzQ6eH6n7CgDvhcVjuZEEIIIUSqSkff4ITaHK0tWdypAh2r5kFRYMKOawzeeIGoGBkWlyEYYmDH96bt8p1Nwx/To3Id4cud4JQL/O/AwnpwcYPaqYQQQgghUo0UeeKtWOi0/K95SUY3LY5WA+tOPaLj4uMEhkWpHU28r1OLwecS2LhA3ZFqp3k/OcpBjwOQvw5Eh8HGrqbZQg3RaicTQgghhEhxUuSJd9K5ej4WdaqIvd6CY3f8aTn7CHefvVA7lnhXoX6wb6xp+6MfwNZV3TzJwc4N2m+Emt+Z7h+fC0ubQIhcTyqEEEKIjE2KPPHO6hT1ZEPvquRwtuHusxe0mHWYo7efqx1LvIs9YyAiCLKWNg3VzCi0Oqj7A7RdDXpHeHjMtMzC/SNqJxNCCCGESDFS5In3UjSrI5v7VuODXM4EhUfTYdFx1p18qHYs8TYenTYtJg7QaLKpMMpoijaCHvvBsziE+sCypnBsDsjEQUIIIYTIgKTIE+/N08GaNT2q0KR0NmKMCt9vvMD4HVcxGuULdJpnNMKfA03bZdpB7srq5klJbgWg224o9QkYY2DnENO1epGhaicTQgghhEhWUuSJZGFtqWN627J8/VFBAOYduEPvlacJi4pROZl4rbPL4clZ01DGeqPVTpPyrOyg1QJoOAm0FnBpo2n2zWe31E4mhBBCCJFspMgTyUar1TDg4yL8+lkZrHRadl324bN5x/AJjlA7mkhImD/sHm3arj0UHLKoGifVaDRQuSd02g72WcDvqmk9vWt/qJ1MCCGEECJZSJEnkl3LsjlZ2b0yrnZWXHwcRPOZh7n0OEjtWOJV+8ZBuD94FIVK3dVOk/ryVIWeByF3NYgMhjXtYPcYMBrUTiaEEEII8V6kyBMpomJeV7b0qU5BT3ueBkfwydyj/H3FR+1YIpb3BTi1yLTdcBLoLNXNoxaHrNDpd6jSx3T/0BRY0QpeyCyxQgghhEi/pMgTKSa3my0be1ejZiF3wqMN9Fh+ivkHb6PIjIbqUhT4cxAoRijREvLXUjuRunSW4DUeWi8CS1u4sx/m14LHp9VOJoQQQgjxTqTIEynKycaSxZ0r8kXl3CgKjPvzGkM3XSTaYFQ7WuZ1YZ1pvThLW/h4rNpp0o5SbaDbHnAtAEEPYbEXnF6mdiohhBBCiLcmRZ5IcZY6LWNblGRkk+JoNbDm5EM6LT5BUFi02tEyn4hg+PsH0/aH34FTTnXzpDVZikOPfVCkMRiiYNvXsLUfRMvkQUIIIYRIP6TIE6lCo9HwZY18LOxUATsrHUduP6flnMPce/ZC7WiZy8FJpsXAXfND1X5qp0mbrJ3gsxVQdyRotKZlJhY3gMAHaicTQgghhEgSKfJEqvqoaBY29K5Gdidr7vi9oMXswxy/I5NcpAq/63Bsjmm74SSw0KubJy3TaqHmQGi/CWxcwfsczPsQbu1RO5kQQgghxBtJkSdSXbFsjmzpW50yOZ0IDIum/aLjbDj9SO1YGZuiwI7vwRgDRRpBofpqJ0ofCtQxLbOQvSyEB8CK1nDwZzDKNaVCCCGESLukyBOq8HS0Zk2PqjQqlZVog8J3688zaec1jEaZeTNFXP3dNGukTg8NxqmdJn1xzgVddkK5ToACe8fC2i8gPFDtZEIIIYQQCZIiT6jGxkrHzM/L0a9OQQBm779N31VnCI+SxaiTVVQY7Bxm2q7RH1zzqRonXbK0hmbTodkMU6F8/U9YUAd8LqudTAghhBAiHinyhKq0Wg3fNSjCL5+UwVKnYcelp3w2/yi+wTKbYbI5NAWCH4FTbqjeX+006Vu5jvDlTnDKBf53YGE9uLhB7VRCCCGEEHFIkSfShNblc7KyWxVcbC258CiI5rMOc+VJsNqx0r/nt+HwNNO21ziwslU3T0aQoxz0OAD560B0GGzsCjsGg0GWBBFCCCFE2iBFnkgzKuVzZUvf6hTwsMM7KII2c4+w+4qP2rHSt13DTOu9FfgIijZRO03GYecG7TdCze9M94/PhaVNIOSpurmEEEIIIZAiT6Qxedzs2NS7OtULuhEWZaD78lMs/OcOiiITsry16zvhxk7QWpqWTNBo1E6UsWh1UPcHaLsa9I7w8JhpmYX7R9ROJoQQQohMToo8keY42VqytEslPq+UG0WBsX9cZdjmS0QbZNr6JIuOgJ1DTNtV+4B7IXXzZGRFG0GP/eBZ3LTQ/LKmpvUI5YcJIYQQQqhEijyRJlnqtIxrWZIRjYuh0cDqEw/osuQkQeFy3VOSHJ0BAXfBIRt8OEjtNBmfWwHothtKtjGtRbhzCGzsBlEv1E4mhBBCiExIijyRZmk0GrrVzM/8DhWwtdJx6NYzWs0+zP3n8sX5tQIfwsFfTNsfjwW9g7p5MgsrO2i9ELwmgtYCLm0wzb757JbayYQQQgiRyUiRJ9K8+sWzsL5XVbI6WnPb7wUtZh3mxF1/tWOlXX8Nh5hwyFMdSrZWO03motFAlV7QaTvYZwHfK6b19K79oXYyIYQQQmQiqhd5gwcPpmnTpub7ly5domLFiri4uDBo0CCZcEMAUCK7E1v7Vad0TicCwqJpv/A4m848UjtW2nN7H1zZChqtTLaipjxVoedByF0NIoNhTTvYPQaMBrWTCSGEECITULXIu3DhArNnz2baNNM6XpGRkTRt2pTy5ctz6tQprly5wtKlS9WMKNKQLI7WrO1RFa8SWYkyGBmw7jyTd13HaJQfAgCIiYId35u2K3aHrCXVzZPZOWSFTr9DlT6m+4emwIpW8OK5urmEEEIIkeGpVuQZjUZ69OjBt99+S/78+QHYsWMHQUFBTJkyhQIFCjBu3DgWLVqkVkSRBtlY6Zj9RTl61y4AwMx9t/hqzVkioqWHhBPz4NkNsHWHOsPUTiMAdJbgNR5aLwJLW7izH+bXgsen1U4mhBBCiAxMtSJv7ty5XLx4kbx58/L7778TFRXF+fPnqVKlCra2tgCULl2aK1euqBVRpFFarYbBXkWZ1KY0ljoNf1zw5rP5x/ANiVA7mnpCnsL+CabteqPBxlnNNOJVpdpAtz3gWgCCHsJiLzi9TO1UQgghhMigLNQ4aWhoKKNGjSJ//vzcv3+f5cuXM3bsWGrWrEm+fPnM+2k0GnQ6HQEBAbi4uMQ7TmRkJJGRkeb7wcHBgKmX0GhMG2uqGY1GFEVJM3kykjblcpDL2ZreK89y/mEgLWYdZkGH8hTL5ghkrrbX/D0STVQoSvbyKGU+BxXfc2Zq97fiURS67UGztQ+a63/Ctq9RHp1EaTgJLKzf+/DS7uqQdleHtLs6pN3VIe2ujrTa7knNo0qRt2nTJl68eMG+fftwd3cnJiaGUqVKsXjxYrp06RJnX2tra8LCwhIs8saPH8+YMWPiPe7n50dERNro1TEajQQFBaEoClqt6vPcZDj57GH+p4X57vdbPAiI4JO5R/mxUX6q53PKNG1v6X0KtwtrUdDwvMoQYvyeqZons7T7O6v9C3ZORbE/ORXN2eXEPDpDwMczMDrkeK/DSrurQ9pdHdLu6pB2V4e0uzrSaruHhIQkaT9VirxHjx5RpUoV3N3dTSEsLChdujTXrl3Dz88vzr4hISFYWVkleJyhQ4cyYMAA8/3g4GBy5cqFh4cHjo6OKfcG3oLRaESj0eDh4ZGmPiAZiacnbOmblb6rznL0jj+Dfr/F8EbF6FglV8Zve6MBzebxpu1yHXEtWU/dPMhnPkm8fkApVAM2dcPS7zIem9qgtFoIBeq88yGl3dUh7a4OaXd1SLurQ9pdHWm13a2tkzb6R5UiL2fOnISHh8d57P79+0ydOpUZM2aYH7t79y6RkZG4uromeBy9Xo9er4/3uFarTVN/GBqNJs1lymhc7a1Z9mVlfthyibWnHvLjH1e58+wFvSu7Z+y2P7UIfC6BtTOauqPQpJH3KZ/5JChUF3oegHUd0Tw5i2Zla/hoBNQYAO/YbtLu6pB2V4e0uzqk3dUh7a6OtNjuSc2iSuLGjRtz5coV5s6dy6NHj5g+fTrnz5+nVatWBAcHs2TJEgDGjRtHvXr10Ol0asQU6YyVhZYJrUsxrFFRNBpYefwBA7fcIjgiWu1oKePFM9j7o2n7oxFg56ZuHvH2nHNDl51QriOgmP48134B4YFqJxNCCCFEOqZKkefm5saff/7JsmXLKFy4MNOmTWPdunXkypWLhQsX0q9fP9zd3dm6dSsTJ05UI6JIpzQaDT0+LMDc9uWxsdRx/EEwn8w9xoPnYWpHS357/gcRQZC1FFT4Uu004l1ZWkOzGdB0Ouj0cP1PWFAHfC6rnUwIIYQQ6ZRqfY/Vq1fn6NGjhIWFcfv2bZo2bQpAs2bNuH37NsuWLePq1asUL15crYgiHWtQIitre1TGw86Sm76htJh9mFP3/NWOlXwen4Yzv5m2G00GrfR2p3vlO8GXO8EpF/jfgYX14OIGtVMJIYQQIh1KOwNMX5I1a1YaN26Mm5sMPxPvrmQOJxZ9XpSS2R3xfxFFuwXH2XL2sdqx3p/RCH8OAhQo3RZyV1E7kUguOcpBjwOQvw5Eh8HGrrBjMBgy6JBjIYQQQqSINFnkCZFcPO2tWNOjMh8Xz0KUwUj/teeY8vcNFEVRO9q7O7fS1JNn5QD14y8hItI5OzdovxFqfme6f3wuLG1iWvBeCCGEECIJpMgTGZ6tlQVz25enZ638AEzfc5OvVp8lItqgcrJ3EB4Au0ebtmsPAYesqsYRKUSrg7o/QNvVoHeEh8dg3odw/4jayYQQQgiRDkiRJzIFrVbD0IbFmNi6FBZaDdsvePP5gmP4hUSqHe3t7BsPYc/AvQhU7ql2GpHSijaCHvvBsziE+sCypnBsDqTnnmghhBBCpDgp8kSm8lnF3CzvWhknG0vOPgikxazDXH8aonaspHl6CU4uMG03mgQ6S3XziNThVgC67YaSbcAYAzuHwMZuEPVC7WRCCCGESKOkyBOZTtUCbmzuU428brY8Dgyn9Zwj7Lvuq3as11MU02QrihGKt4D8tdVOJFKTlR20XgheE0FrAZc2mGbffHZL7WRCCCGESIOkyBOZUn4Pezb3qU7lfK6ERsbQdelJlh6+q3asxF3cAA+OgIUNfDxW7TRCDRoNVOkFnbaDfRbwvWJaT+/aH2onE0IIIUQaI0WeyLRc7KxY3rUyn5TPiVGB0duuMHLrJWIMRrWjxRUZAn+NMG1/OBCcc6mbR6grT1XoeRByV4XIYFjTDnaPAWM6nEhICCGEEClCijyRqVlZaJnUpjSDvYoC8NvR+3RddorgiDS0LtmBSRD6FFzyQdWv1E4j0gKHrNBpG1TpY7p/aAqalW3QhPurm0sIIYQQaYIUeSLT02g09K5dgLnty2FtqeXADT/azDnCQ/8wtaOB3w04Ntu03XAiWFqrm0ekHTpL8BoPrReBpS2au/tx39gaHp9RO5kQQgghVCZFnhD/8iqZjfU9q+HpoOeGTygtZx/m9P0A9QIpCuz43jSjYmEvKNxAvSwi7SrVBrrtQXEtgC70CZqlDeH0MrVTCSGEEEJFUuQJ8ZJSOZ3Y2q86xbM58iw0is8XHOP380/UCXNtO9zZBzorU4+NEInJUhyl2x4i8tZFY4iCbV/D1n4QHaF2MiGEEEKoQIo8IV6RzcmG9b2qUq9YFqJijHy9+ixTd99ASc0FqKPCYOcw03b1b8A1f+qdW6RP1k4ENpiJ8aMfQKOFs8thcQMIfKB2MiGEEEKkMinyhEiAnd6CeR3K0+NDU3E1dfdN+q89R0R0Ks1geHgqBD0Ap1xQY0DqnFOkfxqt6fPSfiPYuIL3OZhXC27vVTuZEEIIIVKRFHlCJEKn1TCsUTEmtCqFhVbD1nNP+GLhcZ6FRqbsif3vwqGppu0GP4GVbcqeT2Q8BT6Cngcge1kI94flreDgZDCmseVBhBBCCJEipMgT4g3aVsrNsi8r4Whtwen7AbSYdZgbPiEpd8Jdw8AQCflrQ7FmKXcekbE554YuO6FcR0CBvT/C2i8gPFDtZEIIIYRIYVLkCZEE1Qu6s6lPdfK42fIoIJzWs49w4IZf8p/oxl9w/U/QWkDDSaDRJP85ROZhaQ3NZkDT6aDTmz5bC+qAz2W1kwkhhBAiBUmRJ0QSFfS0Z3Of6lTK60pIZAxfLj3J8qP3ku8EMZGwc7Bpu0pv8CiSfMcWmVv5TvDlTtM1nv53YGE9uLhB7VRCCCGESCFS5AnxFlztrFjerRKty+XEYFT4YetlRv9+GYMxGWbePDrT9AXcPit8+P37H0+Il+UoBz0OQP46EB0GG7vCjsFgiFY7mRBCCCGSmRR5QrwlvYWOyZ+UZlADU0/b0iP36LbsJCER7/FlOeiRaWIMgI9/BGvHZEgqxCvs3Ewzb9b8znT/+FxY2gRCnqqbSwghhBDJSoo8Id6BRqOhb52CzP6iHNaWWvZd96PNnKM8Cgh7twP+NcLUu5K7KpT6JHnDCvEyrQ7q/gBtV4PeER4eg3kfwv0jaicTQgghRDKRIk+I99CoVDbW9qiKh4Oe6z4htJh1hLMPAt7uIHcOwOXNpjXOGv0sk62I1FG0EfTYD57FIdQHljWFY3NASYahx0IIIYRQlRR5QrynMrmc2dq3OsWyOfIsNJK284+x/cKTpL3YEA07/r3+rmI3yFoq5YIK8Sq3AtBtN5RsA8YY2DkENnaDqBdqJxNCCCHEe5AiT4hkkN3ZhvW9qlK3qCeRMUb6rTrL9D03Ud7UK3JiPvhdA1s3qDMsdcIK8TIrO2i9ELwmmpbuuLTBNPvms1tqJxNCCCHEO5IiT4hkYq+3YH7HCnStkQ+AKX/fYMC680TGGBJ+QYgP7Btv2q47CmxcUimpEK/QaKBKL+i0HeyzgO8V03p61/5QO5kQQggh3oEUeUIkI51Www9NivNTy5LotBo2n33MFwuO8zw0Mv7Ou0dBVAhkLwdlO6R+WCFelacq9DxomgAoMhjWtIPdY8CYyA8VQgghhEiTpMgTIgV8UTkPS7tUxMHaglP3A2g5+wi3fEP+2+HBcTi/2rTdaDJo5a+iSCMcskKnbVC5t+n+oSmwohW8eK5uLiGEEEIkmXyzFCKF1CzkweY+1cjtassD/zBazj7CPzf9TL0if/67TlnZDpCzvLpBhXiVzhIaToDWi8DSFu7sh/m14PFptZMJIYQQIgmkyBMiBRX0dGBL3+pUzOtCSEQMnZec5PiGKfD0Alg7Qb3RakcUInGl2phm33TND0EPYbEXnF6mdiohhBBCvIEUeUKkMFc7K1Z0q0zLsjlwMAZT+PJUAIy1h4Odu7rhhHiTLCVM6+kVaQyGKNj2NWztB9ERaicTQgghRCKkyBMiFegtdEz5tAzL8+7CRRPKVWNuel4tQ2hkjNrRhHgzayf4bAXUHQkaLZxdDosbQOADtZMJIYQQIgFS5AmRSjTe5yj1dDMAPxq78Pf157SZc4QngeEqJxMiCbRaqDkQ2m8EG1fwPgfzasHtvWonE0IIIcQrpMgTIjUYjfDnIECBUp8yqEcX3O31XHsaQvNZhzn/MFDthEIkTYGPoOcByF4Wwv1heSs4ONn0GRdCCCFEmiBFnhCp4fxqeHQSrOyh/v8om9uFLX2rUTSrA34hkXw67yh/XvRWO6UQSeOcG7rshHIdAQX2/ghrv4DwQLWTCSGEEAIp8oRIeeGBpoXPAWoNBsdsAOR0sWV9r6rUKeJBZIyRPivPMGvfLRRFUS+rEEllaQ3NZkDT6aDTw/U/YUEd8LmsdjIhhBAi05MiT4iUtn8CvPAD98JQuVecpxysLVnYqSJdqucF4Odd1/lu/QUiYwwqBBXiHZTvBF/uBKdc4H8HFtaDixvUTiWEEEJkalLkCZGSfC7Difmm7YYTwcIq3i46rYZRTUvwY4uS6LQaNp55RIeFJ/B/EZXKYYV4RznKQY8DkL8ORIfBxq6wYzAYotVOJoQQQmRKUuQJkVIUBf78HhQDFGtmmrDiNTpUycPizhVx0Ftw4p4/LWcf5pZvaCqFFeI92bmZZt6sOdB0//hcWNoEQp6qm0sIIYTIhKTIEyKlXNoI9w+BhQ00+ClJL6lV2IONfaqR08WG+8/DaDX7MIdvPUvhoEIkE63OtJZe21Wgd4SHx2Deh3D/iNrJhBBCiExFijwhUkJkKPw1wrRdc6BpNsIkKpzFga19q1M+jwvBETF0WnyC1Sdk0WmRjhRtDN33gUcxCPWBZU3h2BxT77YQQgghUpwUeUKkhIM/Q4g3uOSFal+99cvd7PWs7FaZ5h9kJ8aoMHTTRX764woGo3xJFumEe0HovgdKtgFjDOwcAhu7QdQLtZMJIYQQGZ4UeUIkt2c34egs07bXRNNU8+/A2lLH1M8+4Nt6hQFY8M9dei4/zYvImORKKkTKsrKD1gtNfw+0FnBpg2n2zee31U4mhBBCZGhS5AmRnBQFdnwPxmgo9DEU8Xqvw2k0Gr6pV4jpn5fFykLL7qs+fDL3KN5B4ckUWIgUptFAlV7QaTvYZwHfKzC/Nlz7Q+1kQgghRIYlRZ4QyenaH3B7L+iswGtCsh22WZnsrOlRBXd7K654B9N85mEuPApMtuMLkeLyVIWeByF3VYgMhjXtYPcYMMqakEIIIURyU6XI+/rrr9FoNOZbwYIFAbh06RIVK1bExcWFQYMGochF+iI9iQ6HXUNN29W+ArcCyXr4crld2NynOoWz2OMbEsmn846y85J3sp5DiBTlkBU6bYPKvU33D02BFa3gxXN1cwkhhBAZjCpF3qlTp/jjjz8ICAggICCAs2fPEhkZSdOmTSlfvjynTp3iypUrLF26VI14Qrybw9Mg8AE45vhvrbBklsvVlo29q1GrsAcR0UZ6rTjD7P235AcRkX7oLKHhBGi9CCxt4c5+mF8LHp9WO5kQQgiRYaR6kRcTE8Ply5f58MMPcXZ2xtnZGQcHB3bs2EFQUBBTpkyhQIECjBs3jkWLFqV2PCHeTcA9OPSrabvBT6YJJ1KIg7UlizpVoFPVPABM2nmd7zdcICrGmGLnFCLZlWoD3XaDa34IegiLveD0MrVTCSGEEBlCqhd5Fy9exGg08sEHH2BjY4OXlxcPHjzg/PnzVKlSBVtbWwBKly7NlStXUjueEO9m13CIiYB8H0LxFil+OgudljHNSzKmWQm0Glh/+hEdFh0n4EVUip9biGSTpQT02A9FGoEhCrZ9DVv7QXSE2smEEEKIdM0itU945coVihQpwowZM3B3d+fbb7+lR48elChRgnz58pn302g06HQ6AgICcHFxSfBYkZGRREZGmu8HBwcDYDQaMRrTRq+G0WhEUZQ0kyczSbW2v7Ub7bXtKFoLFK+Jphk2U2n4ZIcqucntasNXq89y/K4/LWYfZlGnCuR3T7mexDeRz7w60m27WznAp8vh0K9o9v2E5uxylKcXUT5ZBs651U73Rum23dM5aXd1SLurQ9pdHWm13ZOaJ9WLvC+++IIvvvjCfH/27Nnky5ePYsWKodfr4+xrbW1NWFhYokXe+PHjGTNmTLzH/fz8iIhIG78EG41GgoKCUBQFrVYmM01NqdL2hijc/xiEFggr2YEQxRV8fVPmXIko5gzzPinCwK23uP88jFazDjO+SQHK53JI1Ryx5DOvjnTf7kU6YGWbD+c9A9F6n0OZX4vAulOIylVd7WSvle7bPZ2SdleHtLs6pN3VkVbbPSQkJEn7pXqR9ypPT0+MRiNZs2bl0qVLcZ4LCQnBysoq0dcOHTqUAQMGmO8HBweTK1cuPDw8cHR0TLHMb8NoNKLRaPDw8EhTH5DMIFXa/vBUtEH3UOw8sWk4Ghu9Op87T0/YmisrvVac4ezDQL7ZfJMfW5Tgswq5Uj2LfObVkSHa3bMVFKiAsr4TWu9zuPzRFaXOcKjxLWjS5nvKEO2eDkm7q0PaXR3S7upIq+1ubW2dpP1SvcgbNGgQZcuWpV27dgAcPXoUrVZLqVKlWLBggXm/u3fvEhkZiaura6LH0uv18Xr/ALRabZr6w9BoNGkuU2aRom0f9BgOTjad5+Mf0dg4J/853kIWJxtW96jCoA0X2Hb+CUM3XeLeszAGexVFq9Wkahb5zKsjQ7S7a174chfsGITmzG9o9o2FJ2egxRxQ+e9YYjJEu6dD0u7qkHZXh7S7OtJiuyc1S6onLlOmDCNGjGDPnj389ddf9OrVi44dO/Lxxx8THBzMkiVLABg3bhz16tVDp9OldkQhkubvHyD6BeSqAqU/UzsNANaWOqa3/YBv6hYCYN7BO/RacZqwqBiVkwnxFiytodkMaDoddHq4/icsqAM+l9VOJoQQQqQLqV7ktW/fns8++4zWrVvz+eef4+XlxcyZM7GwsGDhwoX069cPd3d3tm7dysSJE1M7nhBJc/cfuLTRNISs0c+gSd2estfRaDR8W78w09p+gJVOy19XfPh03lGeBqWN61SFSLLyneDLneCUC/zvwMJ6cHGD2qmEEEKINE+Vvsfx48cTGBjI8+fPmTZtGnZ2ppkAmzVrxu3bt1m2bBlXr16lePHiasQT4vUM0bDje9N2hS8hW2l18ySi+Qc5WN2jMm52Vlx6HEzzWYe49DhI7VhCvJ0c5aDHAchfB6LDYGNX2DHY9PdQCCGEEAlKOwNM/5U1a1YaN26Mm5ub2lGESNjJheB7BWxcoc5wtdO8Vvk8rmzpW51Cnvb4BEfyydyj7Lr8VO1YQrwdOzdovxFqDjTdPz4XljaBEPksCyGEEAlJc0WeEGlaqC/sG2farjcKbBOfGCityOVqy8Y+1ahZyJ3waAO9Vpxm3oHbKKm0lp8QyUKrg7ojoe0q0DvCw2Mw70O4f0TtZEIIIUSaI0WeEG9j92iIDIbsZaFsB7XTJJmjtSVLOlekQ5U8KAqM33GNIRsvEhWTthb4FOKNijaG7vvAoxiE+sCypnBsDsiPFkIIIYSZFHlCJNXDE3BupWm70WRTz0I6YqHT8r/mJRjVtDhaDaw99ZBOi08QGBaldjQh3o57Qei+B0q2BmMM7BwCG7tB1Au1kwkhhBBpghR5QiSF0QB/fmfaLtseclZQN8870mg0dKmej4WdKmBnpePonee0mn2Eu8/ky7FIZ6zsoPUi8JoAWgu4tME0++bz22onE0IIIVQnRZ4QSXFmGXifB70T1B2tdpr39lHRLGzsU40czjbcefaClrMPc+zOc7VjCfF2NBqo0hs6bQP7LKYJkebXhmt/qJ1MCCGEUJUUeUK8SZg/7PmfabvOMLD3UDdPMima1ZHNfatRJpczgWHRdFh0nHWnHqodS4i3l6ca9DwIuauarpld0w52jzH1wAshhBCZkBR5QrzJ3rEQHgCexaFiN7XTJCtPB2vW9qhC49LZiDYofL/hAhN2XMNolEksRDrjkNXUo1e5t+n+oSmwohW8kB5qIYQQmY8UeUK8zpNzcGqxabvRz6CzUDVOSrC21DGjbVm++qggAHMP3KbPyjOER0kviEhndJbQcILpWj1LW7izH+bXgsen1U4mhBBCpCop8oRIjNEIfw4CFCjZBvLWUDtRitFqNQz8uAhTPi2DlU7LzstP+XTeUXyCI9SOJsTbK9UGuu0G1/wQ9BAWe8HpZWqnEkIIIVKNFHlCJObCWnh0Aizt4OMf1U6TKlqVy8nK7pVxsbXk4uMgms88zKXHQWrHEuLtZSkBPfZDkUZgiIJtX8PWfhAtP1wI8U6MBrh3COub2+HeIbnmVYg0Too8IRISEQR/jzRt1/oeHLOrmycVVczrypa+1SngYcfT4Ag+nXeUv6/4qB1LiLdn7QSfrYSPfgA0cHY5LG4AgQ/UTiZE+nLld5haEu1vTXHeMxDtb01haknT40KINEmKPCESsn8ivPAFt4JQpY/aaVJdHjc7NvWpTo2C7oRFGeix/BQLDt5BUWRCFpHOaLXw4XfQfiPYuIL3OZhXC27vVTuZEOnDld9hXUcIfhL38WBv0+NS6AmRJkmRJ8SrfK/C8bmm7YaTwMJK3TwqcbKxZEmXirSrnBtFgZ/+vMqwzZeINhjVjibE2ytYF3oegGwfQLg/LG8FByebrr0VQiTMaICdg4GEfuD797GdQ2TophBpUMabKlCI96EopslWFAMUbWL6YpiJWeq0/NSiJAU87Bn7xxVWn3jAA/8XzG5XHidbS7XjCfF2nHPDl7vgz+9MQzf3/miaebPFHLBxVjudEKlLUUzrSoYH/HcL8/93O9D0X79r8Xvw4h4Egh/D/SOQr2ZqJRdCJIEUeUK87PJmuPcPWFhDg3Fqp0kTNBoNXWvkI6+bLV+tPsvhW89pOecwSzpXJI+bndrxhHg7ltbQfCbkrGgq9q7/CQvqwGcrTJO1CJHeGI0QGRS3WAsPfKlge/X2UiGnJFMPXKhcty1EWiNFnhCxIkPhrxGm7RoDwCWPunnSmLrFsrChVzW6LjvJHb8XtJh1mLnty1M5v5va0YR4e+U7QdaSsK4T+N+BhfWg2QzT8gtCqMFoME36lVBh9rqCLSIIlPcYdmxhA7auYOPy7835v+3wIDiz9M3HsM/y7ucXQqQIKfKEiPXPL6ZhJ855oPrXaqdJk4pnd2Rr3+p0++0UFx4F0X7RcSa0Kk3r8jnVjibE28tRHnocgI1d4c4+038fnYSPx5oWVhfiXRhiICIwkaLsNQVbRBAJX/uWRJZ2psLM1uWlgu3lm2sCjzmDpU3ixzQa4NZfpklWEstm6w55qr17biFEipAiTwiAZ7fgyAzTtteE1/9PL5PzdLRmbY+qDFx/jj8vPmXg+vPceRbKwPpFUIDjd55z65E/BUN1VM7vjk6rUTuyEImzczPNvLnvJ9MPPcfnwpNz8OkycMiqdjqhJkP0v9emJdaLllDBFmgaOvk+rBz+K8BsEyrMEiranMFC//7v+VVaHXhNNM2iiYYEC72IILi1Bwp/nPznF0K8MynyhFAU0+xhxmgoWB+KNFQ7UZpnY6Vj5ufl+MX9OrP23WbWvtscvf2cJ4HhPA2O/Hevu2RzsmZU0+J4lcymal4hXkurg7ojTT17m3vBw2Mw70P4ZKn0UGQEMZH/TSQS55q0xAq2f/eNCnm/8+qd4g59tHF5TdHm+l+xltZ6kYs3g09/M/1/8uVJWByzg52naVmSNZ9D64VQoqVqMYUQcb11kefj48OsWbPYvn07/v7+WFtbU6RIEdq3b88nn3ySEhmFSFnXd8Ct3aCzgoYTQSM9T0mh1WoY1KAo+dztGbzxPGceBMbb52lQBL1XnGFO+3JS6Im0r2hj6L4P1rYHv6uwrKlp6GblXvLvQloQHfFSQfYc/dP78NiQ8NDIsJe2o1+8x0k1YO2UcGH2ul42a2fQZaDf0Ys3g6KNMd47TPDjGzjmKIw2b3XTtYCbe8KljbDhS9O17eU6qJ1WCMFbFnkbN25kxIgR9OvXj7/++gt3d3eioqI4efIkU6ZMYdasWaxatYrs2bOnVF4hkld0uGmNH4Cq/cCtgLp50qGWZXMw7s+r+L+IivecgmmAz5htV6hfPKsM3RRpn3tB6L4Hfv/K9MV15xB4dAqaTQcrmU32vSmK6d/d1876GBC3Ry22hy0m3HwYLeDyVifW/Nur9prCLKGizdrJ1NMrTO2QtwYRtoVx9PQErRbQQasFYGUPZ5bB7/0gMgSq9lE7rRCZXpKLvKVLl7Jw4UL2799Pliz/zaJkZWVF9erVqV69OgsXLqRevXr8888/uLnJjHsiHTg8HQLvg2MO+PA7tdOkSyfu+idY4MVSAO+gCE7c9adqAfl3QaQDVnbQepFpmYW/RsClDeB7xbTMgvwQZKIoEPUiCcVaYPwhkYbINx4+URot2Lig2LgQbWGPpaMnmoQKt1cnH9E7/VuUiGSn1UHTaWDtaLq2fddQU6FX63vpARdCRUkq8mJiYvjrr7/Ytm0bLi6J/3bWrVs3jEYjZ86coX79+skWUogUEXAfDk0xbX/8o/xK/458QyKSdT8h0gSNBqr0hmxlYH1nU5E3vza0nGsa1gmmmQfvHcb68Q0IKwx5q6e/Xh9FgajQ10zR/5qbIfEfd95Ia/HmiUQS6mWzcgCtFsVoxN/XF09PTzRSvKlPo4H6P5qK6X1jYf8400LrH4+VQk8IlSSpyLOwsGDVqlVJOmCPHj3eK5AQqeav4RATAXlrQolWaqdJtzwdrJN1PyHSlDzVoOdB03p6D4/BmnamdTSzlYFdQ9EGP8E5dl/H7KaZCIs3S/2cimL6Up3YjI+vm3DEGPPu59VavmEGyESGRVrZy5f/jEajgVqDQG9vGuZ8dKbpM9lkavr78UOIDCADXRUsxFu4tQeubgONDhpOki8b76FSPleyOVnzNCgi0RWesjlZUymfa6rmEiLZOGSFzttNQzePz/1vBMCrgr1NU81/+tu7F3pGo2kK/oQmEHnT9WuK4Z3fIjorU09aYotiJ3Ytm5Wd/Psp4qrSG/QOputaz/xmmoyl5TywsFI7mRCZSpKLvLCwMDQaDTY2cdcPmzZtGtOmTUOj0aAoCl27dmX48OHJHlSIZBMTBTsGm7Yr94QsxdXNk87ptBpGNS1O7xVnEltFiQIedsicKyJd01maZt/NXs40m2CCn/R/pxraOQQKe5mGQSZlEexXr2F7nwWxLWxeGeLonLSFsS1tpFgTyadse1Nv7cZucHmT6e/Cp7/JGrRCpKIkF3mRkZEsWLAAg8FAq1atKFKkCAAzZszgxx9/pFq1aly8eFGKPJH2HZ8Dz2+CnQfUHqJ2mgzBq2Q25rQvx5htV/AO+u/aOxdbSwLDojl06znT9tykf73CKqYUIhk4Zuf1RZgCwY9hrMf7ncfSLn6PWlLWWJMv0SKtKNHCVOitbQ83/4IVbeDz1aYJWoQQKS7JRZ6Liwvff/890dHRbNy4kVWrVlGmTBnmzZvHvHnzWLp0Kc7Ozixfvjwl8wrxfoKfwIFJpu36/zNNjy2ShVfJbNQvnpXjd55x65EfBXN6UDm/O6tPPGDElktM3X2TLI7WfF4pt9pRhXh3oT5vt7+Vw+snEkmwYHMGC31KpBcidRWqBx02wcpP4f4h+K05tN9o+vwLIVLUW12Td/HiRVasWMHz589xdHTk6dOnXL58mUqVKtGuXTtZH0+kfX+PNA0byVkJSrdVO02Go9NqqJLfjfz2Bjw93dBqNbSvkgef4Ahm7L3F8M0X8XTQU7dYljcfTIi0yD6Jn91PV0DhBnIdkhB5qkHnbbC8FTw5A0saQcctpmtdhRAp5q3mHW7UqBH58+enffv2VKtWjSFDhjBgwAB69erF9u3bGTVqFHv37k2prEK8n3uH4eJ6QAONfpY1k1LRgPqF+aR8TowK9F11hjMPAtSOJMS7yVPt3yGbiV2/pjGtu1m0kRR4QsTKXha67ACHbOB3FRZ7mZYxEkKkmLfqyWvUqBFTpkwhW7ZsPH/+nJo1a2JnZ1pbLHbphAsXLiR/SiHelyEG/hxk2q7QBbJ/oGqczEaj0TCuVSn8QiPZf92PrktPsqF3NQp42KsdTYi3o9WZlklY1xHiTTX0b+HnNUGmjBfiVZ5FTYXeb80h4K6p0Ou4FTzkWm0hUsJbdWXMmzeP06dPs2LFCg4dOsQff/wRb5/SpUsnWzghks2pReB72XTNy0c/qJ0mU7LUaZn9RTnK5HQiICyaTotP4BssC6SLdKh4M9NMgY7Z4j7umP39lk8QIqNzzQdf7gSPohDyBJZ4gfd5tVMJkSG99Xg1e3t7cubMiZOTTFgh0okXfrD3J9N23ZFywbeKbK0sWNy5InndbHkUEE7nJScJiYhWO5YQb694M+h/CWPHbQTW/QVjx23Q/6IUeEK8iWN26PwnZPsAwp7D0qbw4JjaqYTIcJJU5MXExPDRRx/x+PHjN+47cuRItm7d+t7BhEgumj3/My0unK0MlOukdpxMz81ez7IvK+Fub8UV72B6rzhDVIxR7VhCvD2tDvLWIKJQE8hbQ4ZoCpFUdm7Q6XfIXc30/+flLeHWHrVTCZGhJKnIs7CwYNCgQTRq1Ijr168nut8PP/zA33//TYMGDZItoBDvw9LnPJpzK0x3Gk2WL2FpRB43OxZ3roitlY5Dt57x/YbzGI3vsQC0EEKI9MXaybScQsF6EB0Gq9vC1W1qpxIiw0jycM2GDRsyb9482rRpw/fff8+ZM2d4/vw5d+/eZdWqVVSsWJEHDx6wa9curK2tUzKzEEljNOB4aIxp+4MvIFcldfOIOErndGZO+/JYaDVsOfeEiTuvqR1JCCFEarKyhbaroXhzMETBuk5wbrXaqYTIEN5qds0qVapw6tQpVq9ezfjx43n06BFOTk4UK1aMOXPmUKFChZTKKcTbO7cCS7/LKHoHNPVGq51GJKBWYQ8mti7NwPXnmXfwDlkcrfmyRj61YwkhhEgtFlbQejFYfQPnVsCWXqb1bCt1VzuZEOnaWxV5AHq9ns6dO9O5c+cUiCNEMgnzN12LByi1h6Gx91Q5kEhM6/I58QmJYNLO6/z4xxU8HfU0KZ1d7VhCCCFSi84Cms0AvQMcnwN/fgeRwVBzoNrJhEi3ZDVokTHt+wlNuD/RroWhYje104g36F2rAB2r5kFRYMDa8xy9/VztSEIIIVKTVgte46HWYNP9Pf+Dv0eBItdrC/EupMgTGY/3BTi1GICQ6iNA+9Yd1iKVaTQaRjUtQcOSWYkyGOmx/BTXngarHUsIIURq0migzjD4eKzp/uGp8McAMMoMzEK8LSnyRMaiKPDnIFCMKCVaEpWjstqJRBLptBp+/ewDKuV1JSQihk6LT/A4MFztWEIIIVJbta+g6TRAY/rRdnMPMMiaqkK8DSnyRMZyYR08PAaWtij1f1Q7jXhL1pY6FnSsQCFPe3yCI+m0+ASBYVFqxxJCCJHayneG1gtNo3Eurod1HSE6Qu1UQqQbUuSJjCMiGP7+wbT94SBwzKFuHvFOnGwtWfZlJbI6WnPLN5Tuv50iItqgdiwhhBCprVQbaLsKdHq4/ies+hQiQ9VOJUS6oHqR5+XlxdKlSwE4cOAAxYoVw93dnSlTpqgbTKQ/ByZCqA+4FoCqfdVOI95Ddmcbln1ZCQdrC07eC+CbNWcxyGLpQgiR+RRuAO03gJU93D0Ay1tAeIDaqYRI81Qt8lauXMmuXbsA8PPzo1mzZnz++eccPXqUlStXsm/fPjXjifTE9xocn2vabjgJLPTq5hHvrUhWBxZ0rICVTsuuyz6M/v0yisyyJoQQmU++D6Hj72DtDI9OwtImEOqrdioh0jTVijx/f38GDhxIkSJFAFPBlz17dn744QcKFSrEyJEjWbRokVrxRHqiKLDjezDGQJHGUKie2olEMqmS342pbT9Ao4Hlx+4ze/9ttSMJIYRQQ87y0OVPsPMEn0uwpCEEPlQ7lRBp1lsXeYcPHyYmJibB55YtW0b//v158ODBG48zcOBAWrZsSZUqVQA4f/48derUQaPRAFCpUiVOnz79tvFEZnRlq2kIh04PXuPUTiOSWaNS2RjVpDgAP++6zobTj1ROJIQQQhVZSsCXO8EpNzy/BYu94NkttVMJkSa91QJiwcHBtGjRgmHDhvHtt9/Gez46OpojR46wa9curl69muhx9u3bx549e7h8+TJfffWV+djFixc37+Po6MiTJ09emycyMpLIyMg4+QCMRiPGNLKmitFoRFGUNJMnw4l6gWbXMDSAUr0/ilNu83o60vbqSIl271g1D0+Cwpl/8C6DN17Azc6SWoU9ku34GYF83tUh7a4OaXd1pIl2d8kHnf9As6IVmuc3UZZ4obTfBFlKqpcphaWJds+E0mq7JzXPWxV5jo6OLFmyhE6dOtGlSxecnZ3jPN+tWzc6deqEnZ1doseIiIigZ8+ezJkzBwcHh/+CWFig1/93HZW1tTVhYWGvzTN+/HjGjBkT73E/Pz8iItLGNLtGo5GgoCAURUGrVX2emwzH/sSv2Ac/JsYhB88KtwPf/8boS9urI6XavXNZFx74BrHzmj99Vp5hVuvCFM+a+L81mY183tUh7a4OaXd1pJ12t0LbZBku27ti+fwqypLGBDReQHSWD1TMlHLSTrtnLmm13UNCQpK0n0Z5h5kMOnToQI4cOZgwYUKCz1tZWREVlfDaVsOHD+fevXusXLkSgM6dO1O7dm2OHz+Ou7s7P/5oWtssMDCQHDly8OLFi0RzJNSTlytXLgICAnB0dHzbt5UijEYjfn5+eHh4pKkPSIbgfwfNnKpoDFEYP10BRRvHeVraXh0p2e5RMUa6Lz/NPzef4WZnxYZeVcjjJoUeyOddLdLu6pB2V0eaa/eIIDSrPkXz6ASKpR1K21WmSVoymDTX7plEWm334OBgXFxcCAoKem2981Y9ebHGjRtH2bJlGTx4MC4uLnGeCwwMNF9Xl5BVq1bh5+dn7gUMCwtj3bp1AFSrVs2839mzZ8mR4/XrnOn1+ji9f7G0Wm2a+sPQaDRpLlOGsGsYGKKgQF20xZpAAp87aXt1pFS7W1tpmdO+PJ/NO8rlJ8F0XnqKjb2r4W4vs6mCfN7VIu2uDml3daSpdrd1gY5bYM0XaO7sQ7PqU/h0GRRpqHayZJem2j0TSYvtntQsSS7y3N3d0ev16HQ6wNRVWKRIEaytrePsFxAQQNmyZRM9zj///BNn4pbvvvuOKlWq0LlzZ3LlysXu3bupVasWkyZNokGDBkmNJzKb6zvh5i7QWkLDiQkWeCJjstdbsKRLRVrPOcL952F8ufQkq7tXwU7/Tr9ZCSGESM+s7KDdWtjwJVzbDmu+gJbzoPQnaicTQlVJ/la0ZcsW9Ho9VlZWCT5vNBoJCQnB1dWVQoUKJXqcnDlzxrlvb2+Pu7s77u7u/PrrrzRq1Ah7e3ucnZ3Ni6QLEUd0BOwcbNqu2hfcE/+8iYzJ08GaZV0q0WbuUS48CqLPyjMs7FQBS13a+aVNCCFEKrHQwyfLYGtfuLAGNnWHqBCo8KXayYRQTZKLvBo1api3X7x4gaOjI35+fri6ugIwefJkli9fzvnz598qwMuFXK9evWjQoAHXrl2jZs2a2Nvbv9WxRCZxZAYE3AOHbPDhILXTCJXk97BnUacKtFtwnAM3/Bi66SI/tyn92uHiQgghMiidBbSYA3p7OLkQtn8LkSFQ/Ru1kwmhinf62dva2hpFUeJcD9evXz+Cg4PZsGHDewXKly8fDRs2lAJPJCzwAfzzi2n747Gmf8xFplU2twuzviiLTqthw+lH/PLXDbUjCSGEUItWC40mQ40Bpvt/j4Q9P8LbzzEoRLr3TkWeTqdDo9HEGbppbW3N6NGjGT16NO8wYacQSbNrOMSEQ54aULK12mlEGvBR0Sz81MK0PtLMfbdYfuy+yomEEEKoRqOBeqOg7ijT/X8mw47B5jV0hcgskjxcc/jw4VhZWZmHQimKwo8//oiFxX+HiI6O5vr168yZM4c+ffokf1qRud3eB1d/B40OGk2SyVaEWdtKufEJjuTX3TcYufUSHvZ6vEpmVTuWEEIItdQcANaO8Md3cGKeaehmsxmmYZ1CZAJJ/qQ/ffoUa2tr87Sdffv2JSAgIN5+5cuXTzMLkYsMJCYKdnxv2q7UA7KUUDePSHO+rluQp8ERrD7xgK/XnGVlt8pUzOuqdiwhhBBqqdgNrBxgS284v8o0GUvrRaaJWoTI4JJc5C1atCglcwjxeifmwbMbYOsOtYeonUakQRqNhh+bl8AvJJLdV33otuwUG3pVpVAWB7WjCSGEUEuZz0zX76/vDFe3weq28NkK09ILQmRg7zzfeFhYmFx7J1JHyFPYP8G0XX8M2DirGkekXRY6LTM+L0u53M4EhUfTafEJngbJyAIhhMjUijaGduvA0hZu74XlrSAiSO1UQqSody7y+vfvz6effpqcWYRI2N8jISoUclSAMu3UTiPSOBsrHYs6VSS/hx1PgiLovOQEQeHRascSQgihpgJ1oONWsHaCh8dgaRN48UztVEKkmHcq8nbv3s2iRYto106+cIsUdv8IXFgLaKDRz6bpkYV4Axc7K5Z1qYSHg55rT0PoufwUkTEGtWMJIYRQU65K0Gm76dKPpxdgSUMIfqJ2KiFSxFt/Yz5y5AitW7dm6NChLFmyhD59+jB+/HiWL1/Ovn378Pb2TomcIjMyxMCf/y52Xr4T5Cinbh6RruRytWVpl4rY6y04dsefAevOYzTKEHMhhMjUspWGL3eCYw7Ttf6LG4D/HbVTCZHs3qrImz17Ng0aNODbb79lzJgxbN++HWdnZ27cuMGKFSvo168fefLkYdasWSmVV2Qmp5eAzyWwdoaPRqqdRqRDJbI7Ma9DeSx1Gv644M3YP67KtcRCCJHZuRcyFXqu+SHwASxuCL5X1U4lRLJK0uya9+7do0WLFsTExLB161Y++ugjDAbT0KexY8eal1UA2LRpE8OGDaNv374pk1hkDi+ewd4fTdt1fwA7N3XziHSrekF3Jn9Shm/WnGPx4btkddLT48MCascSQgihJufc0GUnLG8JvpdNQzfbb4Qc5dVOJkSySFJPXrZs2Rg0aBAXL17ko48+Mj+uSWAx6iJFitC8efPkSygypz1jTDNfZS0F5buonUakc80/yMHwRsUAGPfnNbacfaxyIiGEEKpzyAKdt5sKu/AAWNYc7h1SO5UQySJJRZ5er+eLL76IV9QpisL58+eJjIw0P1aiRAkmTpyYvClF5vLoNJxZbtpuNBm0OnXziAyh+4f56VojHwCDNpzn0E2ZVU0IITI9W1fTrJt5a5oWS1/RGm78pXYqId5bkq/Jmzx5MteuXYv3eL169XBycuLjjz9m7969yRpOZEJGI/z5HaBAmc8hdxW1E4kMZHijYjQpnY1og0KvFae5/ETWSRJCiExP7wBfbIDCXhATAWs+h0ub1E4lxHtJUpFnNBo5e/YsZcuWpXv37vj6+mI0GtFoNPj4+HDjxg3q1KlDixYtmDFjRkpnFhnZuRXw5AxYOUC9MWqnERmMVqvhl0/LUDW/G6GRMXRecpKH/mFqxxJCCKE2S2v4bAWUbA3GGNjYFc78pnYqId5Zkoo8rVbLypUruXz5Mr6+vpQoUYL169eTO3duYmJiyJ07N0OHDuXAgQP88MMPrF+/PqVzi4woPAB2jzZt1xlqGisvRDLTW+iY17E8RbM64BcSSafFJ/B/EaV2LCGEEGrTWUKrBVC+MyhG+P0rOCozxov06a2WUMifPz9bt25lypQp9OzZk65du2JtbW1+vmzZsixYsICvvvqKoCAZBiXe0r5xEPYcPIpCpR5qpxEZmKO1Jcu+rEQOZxvuPHtB12UnCY+SxdKFECLT0+qgyVSo9rXp/q5hsH8CyPI7Ip1568XQATp06MDu3buZOXMm9+/fj/PcJ598Qr9+/XBwcEiWgCKTeHoRTi40bTecZPo1TYgUlMXRmmVfVsTJxpKzDwL5avUZYgxGtWMJIYRQm0YD9f8HH40w3d8/HnYNl0JPpCvvVOQBVK5cmZs3b5InT554z40YMSLO2nlCvJaiwJ/fm4ZGlGgJ+WupnUhkEgU9HVjUqQJ6Cy27r/ryw9ZLsli6EEIIU6H34SDw+nfG+GOzTMM3jTLqQ6QPSarEIiMjqVSpUrzHpbdOJIuLG+DBEbC0hY/Hqp1GZDIV8roy/fOyaDWw+sRDpu25qXYkIYQQaUWVXtB8Nmi0cHa5aUKWGLmOW6R9FknZSa/X4+PjY76/aNEiIiIisLSMP6TOaDQSERFB//79ky2kyMAiQ+Cvf4dDfPgdOOVUN4/IlBqUyMr/mpdkxJZLTN19kyyO1nxeKbfasYQQQqQFZb8AvT1s6AqXN0PUC/j0N7C0UTuZEIlKUpEHoNP9tyD12LFjqV27tvn+2rVradu2LYqisHr1atq1a5esIUUGdmAShD4F1/xQtZ/aaUQm1r5KHnyCI5ix9xbDN1/E00FP3WIyw6sQQgigeHP43A7Wtoebf8GKNvD5arB2VDuZEAlK8oVzr16nsmTJEvPNzs6OxYsXs2TJEmxsbFi8eHGyBxUZkN8NODbbtO01ESz06uYRmd6A+oX5pHxOjAr0XXWGMw8C1I4khBAirShUDzpsAr0j3D8EvzWDMH+1UwmRoCQXeRqNJsHtNz0nRIIUBXYMMi04WrghFP5Y7URCoNFoGNeqFLWLeBARbaTr0pPc9gtVO5YQQoi0Ik816LQNbFzhyVlY0ghCnqqdSoh4klzkvXjxgnv37iX4nMxGJ97a1W1wZz/o9OA1Tu00QphZ6rTM/qIcZXI6ERAWTafFJ/ANjlA7lhBCiLQi+wfQZQc4ZAO/q7C4AQTcUzuVEHEkucgLDAykbNmyfPDBB/j5+aVkJpHRRYWZFhcFqP6N6Xo8IdIQWysLFnWuSF43Wx4FhNN5yUlCIqLVjiWEECKt8CwKX+4El7ymAm9xQ9NlKEKkEUku8rJnz86zZ8+YPXs2NjYym5B4D4d+haCH4JQLanyrdhohEuRur2fZl5Vwt7fiincwvVecISpGFksXQgjxL5e80GUneBSFkCewxAuenFM7lRDAW16Tp9PpqFatGvb29vGeEyJJ/O/A4Wmm7QbjwMpW3TxCvEYeNzsWd66IrZWOQ7ee8f2G8xj/3959hzdVt38cfydd6W4pHUAZZQpiAaFQQQRlK0NBZShTFMHHhaIPj1sUBw5+KqKipYCCAxEcDEFAlsi0UPYoexUonXTm/P6IVpFVoOWk6ed1XV4maZp8cvfQ5s455/7adXi6iIj8KaACDJgNFRpC1gmY1AX2/mZ2KpGiL6Hwz/PuDMPg5ZdfLryemZnJyy+/jGEYnD59mlGjRvHcc88Vb1JxDXP/BwU5UP1mqNvF7DQiFxUdGcT4extzX/xqZv5xiPAAGyNvrWt2LBERcRa+IY5hLNN6wd7lMOUO6PUF1GxjdjIpw4q0J89ut5/R5A0aNIjMzExOnz7N6dOneeSRRzh9+jTZ2dk8/PDDnDhxosQCSym2fR5snwNWd+j0JmgPsJQSrWqH8kaPaAA+XrKbuGVJJicSERGnYguAe6ZDzbaQf9rR8G3+3uxUUoYVaU9ednY2OTk5hde1l04uWV42zHnacTl2GITWNjePyCXq0TiSI2nZjJm3jVE/bSYswIvO0RXNjiUiIs7C0wd6TYMZ98PmmfBNf+g2Dhr2MTuZlEFF2pPn4+PD+vXrSzqLuLLfPoCUJPCLgFZPmZ1G5LIMa12DfjdUxTBg+FcJ/LZLRy2IiMg/uHvCnXHQ6F4w7DBzKPz+idmppAwq8uCViIiIkswhruzUfljyluNy+1fAy9/cPCKXyWKx8EKXa+lUP4LcAjsPTFnD1iNpZscSERFnYnWDLu87jlwCmDPC8T5I60rLVVTkJk/ksv38rOP49CrN4bo7zU4jckXcrBbe7dmQptXKkZ6dT/+4VRw8ddrsWCIi4kysVscU8Vb/dVxfOAoWvKBGT64aNXlSsnYvdhyXbrHCrWM0bEVcgs3DjQn9mlArzI+jaTkMiFvFqaxcs2OJiIgzsVjg5pHQ/lXH9eX/Bz8+DvYCc3NJmaAmT0pOQR7M/vP8u5j7IaK+uXlEilGgjweTBjUlIsDGjmMZ3D95Ddl5+sMtIiL/0vw/0OU9wAJrJ8J3QxzvkURKkJo8KTmrPoHj28CnPNz8P7PTiBS7ikHeTBrUFH+bO6v3pPDol+sp0GLpIiLyb437w52fOZaR2vgNfN3PMXlcnFKB3WDl7hP8vPUkK3efKJV/29XkSclIPwqLXnNcbvsieAeZmUakxNSJ8GdCvyZ4ulmZt+koL36/6Yx1RUVERACo3wN6TQV3G2ybDVPvgpwMs1PJv8xNPMyNbyykz6ereH5uEn0+XcWNbyxkbuJhs6NdEjV5UjIWvAC56VCpMTS8x+w0IiUqtnoI7/ZsiMUCU1bu5cPFu8yOJCIizqh2B8ei6Z5+kLQEptwOp1PMTiV/mpt4mKGfr+Nw6pl7WY+kZjP083WlqtFTkyfFb99KSJgGWBzDVqzazMT13RZdgec71wNgzLxtTF97wOREIiLilKJaQr/vwRYEB1ZDfGfIOGZ2qjKvwG7w0g+bOdexOH/d9tIPm0vNoZt69y3Fy14As590XL6+r2NPnkgZMbBFFENaVQfg6W83sHib/miLiMg5RDaGgXPALxyOJkJcR8e6wmKaVUknz9qD908GcDg1m1VJJ69eqCugJk+K19qJcGQj2AKhzQtmpxG56p7ucA13NKpEgd1g2BfrSNh/yuxIIiLijMLrORq9wCpwcpej0Tu+0+xUZUpKZi6/bk/mvV928OpPm4v0PcfSS8fAHHezA4gLyTwBv4xyXL7lOfAtb24eERNYrRbe6BHN8Ywclu44zqD41cwY1pyqIb5mRxMREWcTUgMGzYXJ3eDEDpjYEfrO1LJTJSArN5/Eg2lsOHCKhAOpJOw/xb6TWZf8OGH+thJIV/xMbfJOnTrFtm3bqF27NsHBwWZGkeKw8GXIPgXh10HjgWanETGNp7uV8fc2pufHv7HpUBr94lbx7dDmlPfzMjuaiIg4m8BKjj16n9/hOBoq/la451uoHGN2slIrr8DOtiPpJBw4RcL+U2w4kMr2o+mc63S6qPK+REcGcl2lQMYv3sXJzNxznpdnASICbTSNKlfS8YuFaU3eN998w/3330/lypXZvXs38fHx3HXXXSQmJjJw4EB27tzJ4MGDefPNN7FYLGbFlKI6uA7WTnJcvnUMuGknsZRtfl7uTBwYQ4/xK9h7IotB8auZdn8svl76tyEiIv/iFwr9f4Spd8P+3x179npPheqtzU7m9Ox2g6QTmYXNXMKBU2w6lEZuvv2s+4YHeNEgMogGlYOIjgwkulIQgT4ehV+PDPZm6OfrsMAZjd5fncgLXerhZi0dfYkp7zZSU1MZNmwYS5YsITo6mvj4eEaMGEHXrl3p0qULHTp04Msvv+SRRx4hPj6egQO1V8ip2e0wewRgQHRPqHqD2YlEnEKYv41JA5ty50e/seFAKsO+WMen/Zvg4abToUVE5F+8g6Dvd/DlPbB7EXxxF9w1CWp3NDuZ0zAMg8Op2WcccrnxQCrpOfln3TfA5l7YzP3V2IUHXPhQy471KzD+3ut56YfNZwxhiQi08UKXenSsX6HYX1NJMaXJS0tLY+zYsURHRwNw/fXXc+LECebMmUNqairvvPMOPj4+jB49moceekhNnrNLmAoH1zjWfGn3stlpRJxK9VA/PuvfhN4TVvLr9mRGztjImDujdYSCiIiczdMX+nwF0wfB1h/hq3vh9vEQ3srsZKZIycxlw8HUP/fSORq75PScs+5n87BybcW/mrlAoiODqBbic1l/azvWr0C7ehH8vvs4Ow8kUzMylGbVy5eaPXh/MaXJq1y5Mvfc41ggOy8vj3fffZc77riDhIQEYmNj8fHxASA6OprNm4s26UZMcvoUzP9zimbr/4J/hKlxRJxRoyrBjOtzPQ9MWcv0tQeICLDxZIc6ZscSERFn5O7l2IM36yHY8CWW74bg3fIFCHvU7GQlqqiDUdysFuqE+xc2cw0ig6gd7od7MR4l42a1EFs9hOp+BYSFhWAtZQ0emDx4JSEhgVtuuQVPT0+2bNnCqFGjiIqKKvy6xWLBzc2NlJSUcw5mycnJISfn724+LS0NALvdjt1+9nG4ZrDb7RiG4TR5iptl0WgsWccxytfBiHnAceimk3D12jsr1f3cbq4TyivdrmXkd4l8sGgnYf6e3BtbtdgeX3U3h+puDtXdHKr7VWSxQrdxWLz8sKz+lMClL1LgYWC/8TGzkxWLvwajOM6hS2XDwVR2nGcwSrUQn8JDLqMjA6lXIQBvT7ez7lfc26Wzbu9FzWNqkxcdHc3PP//M448/zuDBg6lRowZeXmdOn7PZbGRlZZ2zyXvttdd46aWXzro9OTmZ7GznWMPCbreTmpqKYRhYra51Ho77ia2ErJ4AQErsf8k9kWJyojO5cu2dmep+fjdX9eL+2ApMWHmYF77fjKc9m9Y1i2eysOpuDtXdHKq7OVR3E1z/JL55bvj/8TFuC18iI+UoGU0fg1J0yL/dMNifksPmo5lsPprJliNZbE/OIrfg7I4u1NeDehG+1A33oW644/8Btn+2K3mknzpB+tXI7aTbe3p60V69xTCMc00JvaqSkpKoUaMGr732GomJiUyZMqXwa0FBQezYsYPQ0NCzvu9ce/IqV65MSkoKAQEBVyX7xdjtdpKTkwkNDXWqDeSKGQaWSZ2x7FuBUbcbxl3xZic6i8vW3smp7hdmGAbPztzEtNX78XS3MmVQDDHVrnwcs+puDtXdHKq7OVR3c9jtdrLmjybg97cBMGLux+j4umNvn5P5ezBK6p/n0qWy8WAqGecZjBId+dchl4FERwZedDDK1eSs23taWhrBwcGkpqZesN8xZU/er7/+yo8//siYMWMA8PT0xGKxULduXSZMmFB4v6SkJHJycihX7txvgLy8vM7a8wdgtVqd6odhsVicLtMV2zgd9q0Ad28sHV7F4qSvzSVrXwqo7hc26vb6JGfksmDLUR6Yso7pD95ArXD/K35c1d0cqrs5VHdzqO7myGr0AH4hFbDOHoFl9QQsuRnQ9QPTl6y6lMEo9Sv+2dBVdhx6WfUyB6NcTc64vRc1iylbRu3atfnkk0+oVasWnTp14tlnn6V9+/bceuutDB48mIkTJzJw4EBGjx5N27ZtcXM7+7hbMVFOBvz8rOPyTU9AUGVz84iUMu5uVt7v3Yh7Pl3Jun2n6B+3ihnDWhAR6DyfYIqIiJNpch/YAuG7ByFhGuRmQI/PHINaroLLGYziOI+u+AejyMWZ0uRVqFCB6dOn89hjj/Hkk0/SoUMHJk+ejLu7O59++im9e/dmxIgRWK1WFi9ebEZEuZAlYyD9MARHwQ0Pm51GpFTy9nTjs/4x9PhoBbuTMxkwcRVfDbmBQG+Pi3+ziIiUTdF3O5ZZ+GYAbPkBpvWCnp87bitGfw1GSThwqnCR8e3nGYwSVd73H2vRBVKvQuA5B6PI1WXaPt527dqxadOms27v2rUru3btYu3atcTGxhISEmJCOjmv4zvgt3GOy53eAA/teRC5XMG+nkwa2JTu41ew9Ug6Q6asYdKgpni564+jiIicxzW3wT3fwLQ+sGshTOnuWFvPO+iyHs5uN0g6kVnYzCUcOMWmQ2nk5p89xTE8wKtwYfHoyECiKwUR6KMPJ52RuQfynkdERAS33Xab2THk3wwD5jwF9jyo3RFqdzA7kUipV7mcD/EDY+j58UpW7j7J8K8TeL9Xo1K5Jo+IiFwl1VtDv5nwxZ2wfyVM6gJ9vwPf8hf8tr8Ho/x9yOXGA6mkn2cwyl/N3F+NnTMNRpELc8omT5zU1p8cnxi5eULH18xOI+Iyrq0YyMd9GzNg4ip+2nCYcH8bz3Wu6/QnpIuIiIkqN4UBP8GUO+DIBpjYCfrOhMBKhXdx9cEocn5q8qRo8k7D3JGOy80fgXLVzc0j4mJa1CzPW3c14NEv/yBueRIRgV48cFMNs2OJiIgzi7gOBs6Fyd3g+HZyPmnHzOjxLDsZoMEoZZyaPCmaZWMhdR8ERELL4WanEXFJ3RpW4lhaDq/O3sLo2VsJ87dxe6NKF/9GEREpU84cjJLJYV5ilP1/VMs8SOsV/fgsdyT7DMf086jyvn+uQ6fBKGWJmjy5uJNJsOxdx+UOrxb7BCcR+dvgllEcTs0mbnkSI6YnUN7PixtrXfgcCxERcV12u8Hek9ksP3iQjQfTzjMYxZu7eIGp3q9Ti3187zuarW3jiYpuqcEoZZSaPLm4ec9AQQ5EtYJ63cxOI+LSLBYLz95Wl2Pp2fy44TAPfr6Wr4bEcm3FQLOjiYhICTvXYJQNB1LJKOpgFPdO8MVd2A6uoeHCvhD+JUS1NOGViNnU5MmF7ZgP234Cqzt0ehN0Aq5IibNaLbx9dwNOZOTy2+4TDJi4mhlDm1O5nI/Z0UREpBgVdTCKl7uF+pWCCteiO/9gFJtj6uaXfSBpiWP65t1ToHb7q/J6xHmoyZPzy8+BOU87Ljd7EMKuMTePSBni5e7Gx/0ac/dHv7H1SDr941YxfWhzyvl6mh1NREQuQ1ZuPokH087YS1eUwSjXVQog0HKaihHhWK1FGI7i5Q99vnEsmL59DnzZG7p/AvV7FP+LEqelJk/O77dxcHIX+IVDq6fNTiNS5gTYPIgf2JQe41ew+3gm901azdTBsTphXkTEyZ05GMVxyOX2o+nYjbPve7HBKHa7nWPHsi8tgIcNek6B7x6ExOkw/T7IyYDG/a/wlUlpoSZPzi31ICwZ47jcbhTYAszNI1JGRQTamDQohh7jf2P9vlM8PG0dH93bWKOuRUSchN1ukHQis7CZO/dgFIeIAJvjHLrKQX/upQssucEobh6OPXhe/rB2IvzwCORmwA0PlczziVNRkyfn9vOzkJcFVW6A6LvNTiNSptUM8+ez/k2459PfWbDlGM/NSmT0HddpkVoRkavsXINRNh5IJf0Cg1Eca9E5GrvwANvVDWx1g87vOhq9Fe/BvP9Bdhq0/q/mLLg4NXlytqQlsGkGWKwatiLiJJpUK8d7vRsx9PO1TFu1n/AAG4+1rW12LBERl1bUwSg2Dyv1K/59yOX5B6OYwGKBdi87jspa+Ar8+jrkpEGH0XqP58LU5MmZCvJg9lOOy03ugwrR5uYRkUIdro3gpW71eW5mImMX7CAiwEavplXMjiUi4hIudzBKdGQQtcP9nPsweosFbhoBXgEw5ylY+SHkpEOX/3Ps7ROXoyZPzrRqAiRvAZ8QuPl/ZqcRkX/pG1uVo6nZfLBoJ8/MTCTU34s2dcPNjiUiUqoU52CUUqXZEMehm7MegvVTHOfo3fEJuGtys6tRkyd/yzgGi19zXG7zAviUMzePiJzTE+1rczQtm2/WHuChqeuYen8sDSO1WLqIyLk47WAUszTsA56+jombm75zTN28ezJ4ai1WV6ImT/624EXHMdoVr4dGfc1OIyLnYbFYGN39OpIzcli8LZn74lfzzZBY/MwOJiJislI3GMUs9bpBH1/48l7YOd+xaHrvLzVN3YWoyROH/avgjy8cl299C4qy2KaImMbDzcq4PtfTe8JKNhxIZUD8Gj6+sxZhZgcTEbmKXGIwillqtoW+38HUu2HvcpjcFe6doSO5XISaPAF7Acx+0nG5UV+IbGxuHhEpEl8vd+IGxHDn+BXsOZHF4zN38M3QMAJ9vMyOJiJS7Fx6MIpZqt4A/X+Az7vDofUwsRP0nQkBFcxOJldITZ7AuklwOAFsgdD2RbPTiMglKO/nxaRBTen+4Qq2J59m2NT1TBzQFE93vZkRkdKrzA5GMUPFhjBwDkzuBslbYWJH6DcLgquZnUyugJq8si7rJPzysuPyzc+Cb3lz84jIJasa4stn/ZvQe8JKlu88wVPTE3jn7oZYrWX4MCQRKTU0GMUJhNaBQXMdjV7KHoj7s9ELrWN2MrlMavLKuoWj4HQKhF0LTQaZnUZELlN0ZCCjb6vOiO93MfOPQ4QH2Bh5a12zY4mInEGDUZxYcDUYOBem3P7nHr1OjnP0KjY0OZhcDjV5ZdmhP2DNRMflW8eAmzYHkdLshmqBvNa9PiOmb+TjJbsJD7Ax6MYos2OJiAsosBv8vvsEOw+cpGaGG82ql8etCEcLaDBKKRNQAQbMhi96OM7Rm9QF+nztOHdPShW9qy+r7HaYPQIw4Lq7oFoLsxOJSDHocX0kx9JzGTNvG6N+2kxYgBedoyuaHUtESrG5iYd56YfNHE7N/vOWJCoE2nihSz061v97QIcGo7gI3xDo9z1M6+WYujnlDuj1uWMap5QaavLKqg1fwoFV4OkH7UaZnUZEitGw1jU4mpbN5N/2MvyrBEJ8vbihRojZsUSkFJqbeJihn6/j3/NOjqRm8+Dn6+jTtDL5dkODUVyNLQDumQ5f93Osoze1F9z5mWN9PSkV1OSVRdmpMP95x+VWT2lMroiLsVgsvNDlWo6l5TB30xEemLKGbx68gWsitMitiBRdgd3gpR82n9XgAYW3TV21/4zbNRjFhXj6QK+pMON+2DwTvhkA3cZBwz5mJ5MiUJNXFi1+HTKTIaQWNBtqdhoRKQFuVgtjezWk72e/s3pPCv3jVjFjWAsqBXmbHU1ESolVSSf/cYjm+d3esCK3XldBg1Fckbsn3BkHP/jD+ikwcyjkpEOzIWYnk4vQwc9lzdHN8PvHjsud3nD84xURl2TzcOPTfjHUCvPjaFoOA+JWcSor1+xYIlJKrN5zskj3u/maMNpfG6EGz1VZ3aDr+xA7zHF9zlOwZAwY59rHK85CTV5ZYhiOf5hGAdTtAjXbmJ1IREpYoI8HkwY1JSLAxo5jGdw/eQ3ZeQVmxxIRJ7blcBqDJ63hnfnbi3T/MH81dy7PYoEOo6HVfx3XF77iOPVHjZ7TUpNXlmyaAXuWgrvN8Q9VRMqEikHexA+Kwd/mzuo9KTz65XoKzjUdQUTKtF3JGfxn6jo6/d9SFmw5igXw9jj/gBQLUCHQRtOoclcto5jIYoGbR/79HnLFe/Dj42DXB4fOSE1eWZGTAfOedVxu+QQEVTE3j4hcVddEBPBJ3yZ4ulmZt+koL36/CUOfwIoIsP9kFiO+SaDdO7/y44bDAHSOrsD84a14t2cDLDgaun/66/oLXeoVab08cSE3PARd3gMssHYifDcECvLMTiX/osErZcXStyD9EARXg+aPmJ1GRExwQ40Q3u3ZkP9MW8eUlXuJCLTx0M01zY4lIiY5mpbNBwt38uXqfeQVOD70aVs3jOHt6lCvomMab80wP8bfe/2/1smDiHOskydlSOP+4OUHMx6Ajd84dibcFQ8eOnTXWajJKwuO74QVHzgud3xd/wBFyrDboitwLL0eL/2wmTHzthEeYOPOxpFmxxKRq+hkZi4f/bqLSSv2kJNvB+DGmuV5on1tGlUJPuv+HetXoF29CH7ffZydB5KpGRlKs+rltQevrKvfw7He8tf9YPscmHoX9JrmaP7EdGryXJ1hwNynwZ4HtdpD7Y5mJxIRkw1sEcWRtGw+/nU3T3+7gfJ+nrSuE2Z2LBEpYWnZeXy6ZDefLUsiM9dxHlXjqsE82b4ON9QIueD3ulktxFYPobpfAWFhIVjV4AlA7Q5w77cwtSckLYHJ3eCeb8BH52maTefkubptc2DnAnDzdOzFs+iXsojA0x2u4faGFSmwGwz7Yh0bDpwyO5KIlJCs3HzGLdpJyzcW8d7CnWTmFlC/UgATB8Yw/cEbLtrgiVxQtRuh3/fgHQwH10B8Z0g/anaqMk9NnivLOw1z/xx12/xhCKlhbh4RcRpWq4U372xAy1rlycotYFD8avaeyDQ7logUo+y8AuKWJXHTm4sYM28bqafzqBXmx/h7rueH/9zIzXXCsOjDXykOkY1hwGzwC4djm2BiRzi1z+xUZZqaPFe2/D04tRcCKjkmaoqI/IOnu5Xx9zbm2ooBHM/IpV/cKo5n5JgdS0SuUF6Bnam/7+Pmtxbz8o+bOZ6RS5VyPrzbswFzH7uJTtdVUHMnxS+8HgycA4FV4ORuiOvkmAshplCT56pS9sKydxyXO7wKnr7m5hERp+Tn5c7EgTFEBnuz90QWg+JXk5mTb3YsEbkMBXaD79YfoO07v/K/7zZyODWbCoE2Xut+Hb880Yo7GkVqWIqUrJAaMGgulK8NaQcce/SObDQ7VZmkJs9Vzfsf5GdD1E1Q73az04iIEwvztzF5UFOCfTzYcCCVYV+sI6/AbnYsESkiwzCYs/EwHccu4fGvEth7Iovyfp4837kei55sTe+mVfBw01s+uUoCKzn26EVEQ2YyxN8G+1eZnarM0b94V7RzAWz9ESxu0OlNDVsRkYuqHupH3IAYbB5Wft2ezMgZG7VYuoiTMwyDRduO0eWDZQz9Yh07jmUQ6O3BUx3rsOSpmxl0YxQ2DzezY0pZ5Fse+v8AlWMhOxUm3w67F5udqkxRk+dq8nNhztOOy80ehLC65uYRkVKjUZVgxvW5HjerhelrD/D2z9vNjiQi5/HbrhPc9dFvDJy4msSDafh6uvFIm1oseepmhrWuiY+nVskSk3kHQd8ZUOMWyMuEL+6CrT+ZnarMUJPnalZ+CCd2gm8YtH7a7DQiUsq0qRvOq7fXB+CDRTuZsnKvyYlE5J/W70vh3k9/p/eElazZm4KXu5UHbqrO0qdvYXi72gR6e5gdUeRvnr7Q+0u4pjMU5MJXfWHD12anKhP0MY8rSTsEv77puNzuZbAFmptHREqlXk2rcCQtm7ELdvD8rERC/bzoWD/C7FgiZdrmQ2m8M38bC7YcA8DDzUKvmCr855aahAfYTE4ncgHuXnDXJPj+P5AwDWY8ADnpEHOf2clcmpo8V/Lzc47d4ZWbQXRPs9OISCn2aJtaHE3LZtqq/Tzy5Xq+GNyMmGrlzI4lUubsSs7gnfnb+WnDYQCsFuhxfSSPtKlF5XI+JqcTKSI3d+j2IXj5w6pP4KfhkJMGNz5udjKXpSbPVexZBonTAQvcOgasOhJXRC6fxWJhVLf6JKfnsmDLUQZPWsP0B2+gVri/2dFEyoT9J7P4v192MGPdAex/zkDq0qAij7WtRY1QP3PDiVwOq9UxENDLH5a+DQtehOw0aPO8hgSWANM6gVmzZlG9enXc3d1p2LAhW7ZsASAxMZGYmBiCg4MZMWKEprsVRUE+zB7huNxkEFRoYG4eEXEJ7m5W3u/diEZVgkg9nUf/uFUcSc02O5aISzuals2zMzdyy9uLmb7W0eC1rRvOnEdb8n7vRmrwpHSzWBxNXduXHNeXveN4D2vXsj3FzZQmb9euXQwcOJDXX3+dgwcPUrt2bQYPHkxOTg5dunShcePGrFmzhs2bNxMfH29GxNJl9adwbDN4l4NbnjU7jYi4EG9PNz7rH0P18r4cSs1mwMRVpJ7OMzuWiMs5kZHDqz9t5qY3F/H5yn3kFRi0rFWemQ+14NP+TahbIcDsiCLF58bH4LZ3AAusngCzhjl2WkixMaXJ27JlC6+//jp333034eHhDB06lPXr1zNnzhxSU1N55513qFGjBqNHj+azzz4zI2LpkXEMFr3quNzmefDROTMiUrzK+XoyaVBTQv292HoknSFT1pCTX2B2LBGXkHo6j7d/3sZNby5iwtIkcvLtNKkazJcPxDLlvmY0rBxkdkSRkhFzH3T/xLGuc8I0+KY/5OeYncplmHJOXufOnc+4vm3bNmrVqkVCQgKxsbH4+DhOJI6Ojmbz5s1mRCw9FrzkOHG1QkO4vp/ZaUTERVUu50P8wBh6frySlbtPMvzrBN7v1QirVedRiFyOzJx84lfs4eNfd5GW7diDcV2lQJ5oX5tWtUOx6BwlKQui7wZPP/hmAGz9Eab2hF5fOJZekCti+uCV3Nxc3n77bYYPH87OnTuJiooq/JrFYsHNzY2UlBSCg4PP+t6cnBxycv7u+NPS0gCw2+3YneTYXrvdjmEYJZPnwGqsf3zueJ5ObwIWHdP8DyVaezkv1d0cV6PudSP8GX9PIwZNWsNPGw4T5u/Fs7deU6bfjGp7N0dprntOXgFfrNrH+MW7OZGZC0CtMD8eb1uLDteGY7FYMAzDKWcSlOa6l2YuX/faHaH3V1i+ugfL7kUYk2/H6PO16UuBOWvdi5rH9CbvhRdewNfXl8GDB/Pss8/i5eV1xtdtNhtZWVnnbPJee+01XnrppbNuT05OJjvbOYYD2O12UlNTMQwDa3FOvLQXEPLD41iBrDrdSfOsCseOFd/ju4ASq71ckOpujqtV91oB8Gy7arwwN4mJy/fgZ83jnsZldw09be/mKI11zy8w+HHzceJ+P8yxDMd5rZGBXgy+oQLtapfDzWohOTnZ5JQXVhrr7grKRN396uJx22cEz34A64FV5H/WiZTOn2H3DjEtkrPWPT09vUj3M7XJW7hwIePGjWPlypV4eHhQrlw5EhMTz7hPeno6np6e5/z+kSNHMnz48MLraWlpVK5cmdDQUAICnOMEZbvdjsViITQ0tHg3kHWTsCZvwvAKwHbba9j8worvsV1EidVeLkh1N8fVrHvfsDCyLZ68Nmcb7y89SPUK5enWsGKJPqez0vZujtJU9wK7wfcJh/i/X3aw7+RpACoE2njklpp0v74SHm7Onf+fSlPdXUmZqXtYBwj7EeOLHnic2ELoj/0x+n4HAZVMieOsdbfZbEW6n2lNXlJSEr1792bcuHHUq1cPgJiYGCZMmHDGfXJycihX7tzDRLy8vM7a8wdgtVqd6odhsViKN1PWSfjlZcdj3/wMloCy+yn6xRR77aVIVHdzXM26P3BTDY6m5RK3PImnvt1AWICNFjXLl/jzOiNt7+Zw9rrb7QZzNx3hnfnb2XksA4Dyfl48dHMNejetgs3DzeSEl8fZ6+6qykzdKzaAgXNhcjcsJ3ZgmXgr9JsJITVMieOMdS9qFlMSnz59ms6dO9OtWzfuuOMOMjIyyMjIoGXLlqSlpTFx4kQARo8eTdu2bXFzK52/CEvMolfh9EkIqwcxg81OIyJlkMVi4dnb6tI5ugJ5BQZDpqxl06FUs2OJmM4wDBZtPUaXD5Yx7It17DyWQaC3B093vIYlT7VmYIuoUtvgiVwV5WvCoLlQrgak7oOJneCoBjFeKlP25P38889s3ryZzZs3n7Xn7tNPP6V3796MGDECq9XK4sWLzYjovA4nwJo4x+Vbx4Cb6adVikgZZbVaePvuBhzPyGHl7pMMmLiaGUObU7mcj9nRREyxYtdx3v55O2v3pgDg6+nGfS2rM7hlFAE2D5PTiZQiQZUdjd6UO+BoIsTfCvd8C5GNzU5WapjSIXTr1u28U6OqVavGrl27WLt2LbGxsYSEmHfCpdMxDJg9Agw71L8Tqt1odiIRKeO83N34pF8T7v7oN7YeSad/3CqmD21OOd9zn0st4orW7Uvh7Z+3sXznCQBsHlb631CNIa1q6N+CyOXyC4MBP8IXd8GB1TC5K/T+EqJamp2sVHCeA0z/ISIigttuu00N3r9t+Ar2/w4evtB+lNlpREQACLB5ED+wKZWCvNl9PJP7Jq3mdK4WSxfXt+lQKvfFr6b7hytYvvMEHm4W+t1QlSUjbmbkrXXV4IlcKe9g6DsTom6C3Az44k7YPs/sVKWCUzZ5cg7ZafDzc47LrUZAQNmcZCciziki0MakQTEEenuwft8pHp62jvwC51pbSKS47DyWwUNT13Hbe8v4Zesx3KwW7m4SyaInW/Nyt/qEBRRt+p2IFIGXH/T5Bmp3gvxs+LIPJH5rdiqnpyavtPj1Dcg8BiE1IXaY2WlERM5SM8yfz/o3wcvdyoItx3huVqJTLugscrn2n8ziia8TaP/ur/y04TAWC3RtUJH5j9/Em3c2IDJY56OKlAgPG/ScAtfdBfZ8mH4frJ1kdiqnpqkdpcGxLbByvONypzfA/exlI0REnEGTauX4v16NGPbFWqat2k94gI3H2tY2O5bIFTmSms37C3fw1er95NsdH1y0qxfOE+1rc02Ec6zLK+Ly3Dzgjk/A0w/WToQfHoGcdGj+H7OTOSU1ec7OMGDOU2AUwDWdoWZbsxOJiFxQx/oRvNStPs/NTGTsgh1EBNjo1bSK2bFELtmJjBzGL97FlJV7ycl3HH7cslZ5nmhfh4aVg8wNJ1IWWa3Q+V2wBcDy/4Ofn4GcNGg9EiwWs9M5FTV5zm7zTEhaAu426PCq2WlERIqkb2xVjqZm88GinTwzM5FQfy/a1A03O5ZIkaSezmPCkt3ELU8i688hQjHVgnmyfR2aVddQOBFTWSzQ9iXwCoCFoxynNOWkQ4fRavT+QU2eM8vNhHnPOC7f+DgEVzM1jojIpXiifW2OpGUzfe0BHpq6jqn3x3J9lWCzY4mcV2ZOPvEr9vDxr7tIy84H4LpKgTzZoQ431SqPRW8gRZyDxQI3Pelo9OaMgJUfOvbodXkPrG5mp3MKavKc2dK3Ie0gBFWBFo+anUZE5JJYLBZe634dxzNyWLwtmfviVzN9aHNqhPqZHU3kDNl5BXy+ci/jF+/iRGYuALXD/Rjerg4drg1XcyfirJo94Ji+OeshWP855GRA9wngruVL1OQ5qxO7YMX7jssdXwcPb3PziIhcBg83K+P6XE/vCSvZcCCV/nGrmDGsOWH+GjEv5svNt/PN2v28/8tOjqRlA1AtxIfH29Wmc3RF3Kxq7kScXsM+jmEs0wc5TnPKzYS7J4Nn2Z52qyUUnJFhwJynoSDXMWilzq1mJxIRuWy+Xu7EDYihWogPB1JOM3DiatKz88yOJWVYgd3g27UHaPPOYp75LpEjadlUDLTxRo/rmD+8Fd0aVlKDJ1Ka1OsKfb4Ed2/YOR8+7+FYY7oMU5PnjLbPdWygVg/o+IZOIhWRUq+8nxeTBjUlxNeTTYfSGPr5OnLztVi6XF12u8FPGw7T/t1feeKbBPafPE15Py9e7FKPRSNa0zOmCh5uemskUirVbAt9v3Ocp7dvBUzuCpknzE5lGv0mczZ52TD3v47Lzf8D5Wuam0dEpJhUDfFl4sAYfDzdWLbzOE9NT8Bu12LpUvIMw2Dh1qN0fn8ZD01dx67kTAK9PXi64zUseao1A1pE4eWuYQ0ipV7VG6D/D+ATAofWQ/ytkHbY7FSmUJPnbFa8Dyl7wL8itHzS7DQiIsUqOjKID++5HnerhZl/HOKNeVvNjiQubsXO4/QYv4JB8WvYfDgNPy93Hm1Ti6VP38zQ1jXw8dR4AhGXUrEhDJzjeC+dvBUmdnS8ty5j1OQ5k1P7HBM1ATq84pgWJCLiYlrXCeP1HtEAfPzrbiYuTzI5kbiidftS6DNhJX0+/Z11+05h87AypFV1lj51M4+3q02AzcPsiCJSUkLrwKC5juXHUvZAXEc4VrY+VNTHV85k3jOQfxqqtYRru5udRkSkxNzZOJKjadmMmbeNl3/cTKi/F52jK5odS1zApkOpvP3zdhZuPQaAp5uVPs2qMKx1DcICNNVVpMwIrgoD58KUOyB5C0zsBH1nQMVGZie7KtTkOYtdC2HL92Bxg05vatiKiLi8Ya1rcCQ1mykr9zL8qwRCfL24oUaI2bGklNp5LJ135+/gp42O82/crBbuvD6Sh9vUJDK4bI9SFymzAirAwNnweXfHOXqTukKfr6Bqc7OTlTgdrukM8nMdSyYANBsC4fXMzSMichVYLBZe7HotHa+NILfAzgNT1rD1SNkeeS2Xbt+JLIZ//Qft313CTxsPY7FA1wYVWTC8FW/cGa0GT6Ss8ykH/b6Hqi0gJw2mdIedC8xOVeLU5DmD3z+C49vBNxRa/9fsNCIiV42b1cLYXg2JqRZMenY+A+JWc+jUabNjSSlwLD2XZ2Ymcsvbi5mx7iB2A9rXC2fOoy15r3cjosr7mh1RRJyFLQDu/RZqtXecGjW1F2yeZXaqEqUmz2xph+HXNxyX270MtkBz84iIXGU2Dzc+7RdDrTA/jqRl0z9uFaeycs2OJU7qeEYOr/y0hTvjE5m2aj/5doObaocy66EWfNKvCddEBJgdUUSckYc39PwCrr0D7HnwzQBY/4XZqUqMzskz2/znITcDImMgupfZaURETBHo48GkQU3p/uEKdhzL4P7Ja5hyXzNsHlq7TBxSs/KYsHQ3ccuTyMotACCmWjBPtq9Ds+o6l1NEisDdE3p8Bp5+sH4KzBrmeB/ebIjZyYqd9uSZac9y2Pg1YIFbx4BVPw4RKbsqBnkTPygGf5s7q/ek8OiX6ynQYullXmZOPh8s3EHLNxfywaKdZOUWcF2lQP7vjlp8eX8zNXgicmmsbtD1fYh9yHF9zlPw6xgwXOvvjboKsxTkOzYqgMYDysw4VxGRC7kmIoBP+jbB083KvE1HefH7TRgu9odXiiY7r4BPl+6m5ZuLeOvn7aRl51Mn3J+P+zZm5rAbaFY1AIsmUYvI5bBYoMOr0Hqk4/qiV2D+cy7V6OlwTbOsiYOjieAdDG2eNzuNiIjTuKFGCO/2bMh/pq1jysq9RATaeOjmmmbHkqskN9/O12v28/7CHRxNywEgqrwvj7WtRZfoilitFux2u8kpRaTUs1gcAw+9/GHe/2DF+5CTAbe97fj6nuXYDm6HrNpQrYVjD2ApoibPDBnJjk8MAG55zjHaVURECt0WXYFj6fV46YfNjJm3jfAAG3c2jjQ7lpSgArvBd+sP8n+/bGf/SceE1UpB3jzSpiY9ro/E3U0HH4lICbjhIUej9/0jsHYiHNsKp/ZiTT9E0F/3CagIHd+Ael1NDHpp1OSZ4ZeXIDsVIqIdh2qKiMhZBraI4khqNh8v2c3T326gvJ8nreuEmR1LipndbjA78TDvzt/OruRMAEL9vfjPzTXp1bQyXu6l69NzESmFru/nGMby7X2w/7ezv552GL7uB3dPLjWNnj4Wu9oOrHVM8wG49a1St+tXRORqerrjNdzesCIFdoNhX6xjw4FTZkeSYmIYBr9sOcpt7y/jP1PXsys5kyAfD0Z2uoYlI26mf/NqavBE5Oqp181xGtU5/Xmu3tz/gr3gqkW6EtqTdzXZ7TD7CcflBn2gSjNz84iIODmr1cKbdzbgRGYuS3ccZ1D8ar4d2pyqIVroujRbvvM4b/28jfX7TgHg5+XO4JZR3HdjFP42D3PDiUjZtHcFZJ24wB0MSDvouF9Uy6sW63Kpybua1k+BQ+vBKwDavmh2GhGRUsHT3cr4exvT8+Pf2HQojX5xq/h2aHPK+3mZHU0u0dq9Kbw1bxu/7Xa8kbJ5WBnQPIohN1Un2NfT5HQiUqZlHC3e+5lMTV5Jshf8PZknpSIseNFxe+uR4B9uajQRkdLEz8udiQNj6P7hCvaeyGJQ/Gqm3R+Lr5f+jJUGiQdTefvnbSzalgyAp5uVPs2qMOzmGoT520xOJyIC+BXxvXlR72cy/XUsKZu/h7lPY037x2QegIBK0PR+k0KJiJReYf42Jg9qSo/xK9hwIJWHpq5jQr8meGjqotPacTSddxdsZ/bGIwC4WS3c1TiSh9vUolKQt8npRET+oWpzxxTNtMMUnoN3Bovj61WbX+1kl0V/GUvC5u8dE3jSDp39tbSDsG3O1c8kIuICqof6ETcgBpuHlcXbkhk5Y6MWS3dC+05kMfyrP+gwdgmzNx7BYoFuDSuyYHgrXu8RrQZPRJyP1c2xTAIAln998c/rHV8vNUMT1eQVN3sBzH2ac38CAGApVZN5REScTaMqwYzrcz1WC0xfe4C3f95udiT50+HU04ycsZFb3l7MjPUHsRvQ4dpw5j56E//XqxFR5TUwR0ScWL2ujmUSAiqceXtAxVK1fALocM3it3fFuffgFSpdk3lERJxRm7rhjL7jOv47YyMfLNpJeKCNvrFVzY5VZh3PyOHDRbv4/Pe95ObbAWhVO5Qn2tcmOjLI3HAiIpeiXle45jbse5aTdnA7AZVqY63WotTswfuLmrzi5mKTeUREnFWvplU4kpbN2AU7eH5WIqF+XnSsH2F2rDIlNSuPT5buYuLyPWTlOo5QaRpVjifb16FpVDmT04mIXCarG1S7kWyf2gSEhYG19B38qCavuLnYZB4REWf2aJtaHE3LZtqq/Tz65Xq+GNyMJtXUXJS0jJx8Ji5L4pOlu0nPzgegQWQgT7SvQ8ta5bFY/n0+i4iIXE1q8oqbi03mERFxZhaLhVHd6pOcnsOCLce4b9Iapj94A7XC/c2O5pKy8wqY8ttexv+6i5OZuQBcE+HP8Ha1aVcvXM2diIiTKH37Hp2di03mERFxdu5uVt7vfT2NqgSRejqP/nGrOJKabXYsl5Kbb2fKb3u46c1FvDp7Cyczc4kq78t7vRsx+5GWtL82Qg2eiIgTUZNXElxoMo+ISGng7enGZ/1jqF7el0Op2QyYuIrU03lmxyr18gvsfLNmP7e8vZjnZm3iWHoOlYK8ebNHNPMfv4muDSpitaq5ExFxNjpcs6S4yGQeEZHSopyvJ5MGNaX7+BVsPZLOkClrmDSoKV7u+r17qex2g582HubdBdvZnZwJQKi/Fw/fUpOeMZVVUxERJ6cmryS5wGQeEZHSpHI5H+IHxtDz45Ws3H2S4V8n8H6vRtrbVESGYfDLlmO8PX87Ww6nARDs48HQ1jXoG1sNb081dyIipYGaPBERcSnXVgzko3sbMzB+FT9tOEy4v43nOtfVOWMXYBgGy3ee4K2ft/HH/lMA+Hu5M7hldQbdWA1/m4e5AUVE5JKoyRMREZdzY63yvHVXAx798g/ilicREejFAzfVMDuWU1q79yRj5m1j5e6TAHh7uDGgRTWG3FSdIB9Pk9OJiMjlUJMnIiIuqVvDShxNy2b07K2Mnr2V8AAb3RpWMjuW00g8mMpbP29j8bZkADzdrPRpVoVhN9cgzN9mcjoREbkSavJERMRl3d+yOkdSc4hbnsST3yRQ3s+LFjXLmx3LVNuPpvPu/O3MSTwCgJvVwt1NIvnPLbWoFORtcjoRESkOpk0COX78OFFRUezZs6fwtsTERGJiYggODmbEiBEYxrkWExcRESkai8XCs7fV5bboCuQVGAyZspZNh1LNjmWKvScyefyrP+gwdglzEo9gscDtDSvyy/BWvNY9Wg2eiIgLMaXJO378OJ07dz6jwcvJyaFLly40btyYNWvWsHnzZuLj482IJyIiLsRqtfDO3Q2IrV6OjJx8Bkxczf6TWWbHumoOnTrNyBkbafP2r3y3/iCGAR2vjWDeYzcxtlcjqpX3NTuiiIgUM1OavF69etGnT58zbpszZw6pqam888471KhRg9GjR/PZZ5+ZEU9ERFyMl7sbn/RrwjUR/iSn59A/bhUnM3PNjlWiktNzeOmHTbR+azHTVu0j327Quk4oP/znRj7q25ja4f5mRxQRkRJiSpM3YcIEHnnkkTNuS0hIIDY2Fh8fHwCio6PZvHmzGfFERMQFBdg8iB/YlEpB3uw+nsl9k1ZzOrfA7FjF7lRWLm/M3cpNby5i4vI95ObbaRZVjm8evIH4gU25LjLQ7IgiIlLCTBm8EhUVddZtaWlpZ9xusVhwc3MjJSWF4ODgcz5OTk4OOTk5ZzwGgN1ux263F3Pqy2O32zEMw2nylCWqvTlUd3Oo7kUT5u/JxAFNuOvjlazfd4r/TF3H+Hsa4e52eZ95OlPdM3Lymbh8DxOWJpGRkw9Ag8hAhrerzY01Q7BYLE6Rszg4U93LEtXdHKq7OZy17kXN4zTTNd3d3fHy8jrjNpvNRlZW1nmbvNdee42XXnrprNuTk5PJzs4ukZyXym63k5qaimEYWK2mzbkpk1R7c6ju5lDdiy4AeKNzdR6dsZ1fth5jxFdr+W+bKpe1WLoz1D073863CceYvPoIqdmOPZM1y3vzwA0VaVk9EIvFTnJysinZSooz1L0sUt3Nobqbw1nrnp6eXqT7OU2TV65cORITE8+4LT09HU/P8y/EOnLkSIYPH154PS0tjcqVKxMaGkpAQECJZb0Udrsdi8VCaGioU20gZYFqbw7V3Ryq+6VpHxbGWE8fHpq6nlmJx4kKD+KRNrUu+XHMrHtuvp2v1uxn3KJdHEt3HNUSVd6Xx9vW4tb6EVitl960lhba3s2huptDdTeHs9bdZivaOqZO0+TFxMQwYcKEwutJSUnk5ORQrly5836Pl5fXWXv/AKxWq1P9MCwWi9NlKitUe3Oo7uZQ3S9Np+sq8lK3PJ6bmcjYX3YSEehNr6ZVLvlxrnbd8wvszFh/kP9bsIODp04DUCnIm0fb1qJ7o0qXfehpaaPt3RyquzlUd3M4Y92LmsVpmrybbrqJtLQ0Jk6cyMCBAxk9ejRt27bFzc3N7GgiIuKi+sZW5WhqNh8s2skzMxMJ9feiTd1ws2Odk91u8NPGw7y7YDu7kzMBCPP34uFbatIzpgqe7s7zJkRERMzlNE2eu7s7n376Kb1792bEiBFYrVYWL15sdiwREXFxT7SvzZG0bKavPcBDU9cx9f5Yrq9y7nPBzWAYBgu2HOPtn7ex9YjjXIxgHw+Gtq5B39hqeHvqw1ARETmTqU2eYRhnXO/atSu7du1i7dq1xMbGEhISYlIyEREpKywWC691v47jGTks3pbMffGrmT60OTVC/UzNZRgGy3Ye562ft5Ow/xQA/l7u3H9TdQa2qIa/zcPUfCIi4rycZk/eXyIiIrjtttvMjiEiImWIh5uVcX2up/eElWw4kEr/uFXMGNacMP+ineBe3NbsOcmYedv4PekkAN4ebgxoUY0hN1UnyOf8A8lERETACZs8ERERM/h6uRM3IIYe41ew90QWAyeu5ssHYq/qHrONB1J56+dt/LrdseSBp5uVe2KrMKx1TUL9zx40JiIici5q8kRERP5U3s+LyYOa0v3DFWw6lMbQz9cRNyCmxIeabD+azjs/b2fupiMAuFst3NWkMg/fUpOKQd4l+twiIuJ61OSJiIj8Q9UQXyYOjKHXJytZtvM4T01P4J27G5bIunN7jmcydsF2ZiUcwjDAYoHbG1bisba1qBriW+zPJyIiZYOaPBERkX+Jjgziw3uuZ/CkNcz84xDhgTZGdqpbbI9/6NRp3l+4g6/XHKDA7hhC1ql+BMPb1aZWuH+xPY+IiJRNavJERETOoXWdMF7vEc2T3yTw8a+7iQiwMbBF1BU9ZnJ6DuMW7WTq7/vILbD/+TyhPNGuDtdFBhZHbBERETV5IiIi53Nn40iOpmUzZt42Xv5xM6H+XnSOrnjJj3MqK5ePft3NpBV7OJ1XAEBs9XI82b4OTaqVK+7YIiJSxqnJExERuYBhrWtwJDWbKSv3MvyrBEJ8vbihRtHWcU3PziNu2R4+Xbqb9Jx8ABpUDmJE+zq0qBmCxVL85/mJiIioyRMREbkAi8XCi12vJTk9h7mbjvDAlDV88+AN1Arz5/fdJ9h54CQ1M9xoVr08bn8OZzmdW8Dk3/bw0a+7SMnKA+CaCH+ebF+HNnXD1NyJiEiJUpMnIiJyEW5WC2N7NaTvZ7+zek8KvT5eiae7lWPpOX/eI4kKgTb+d+s1pGTl8cHCnYVfqx7qy/B2tbm1foUSmdApIiLyb2ryREREisDm4caEfk3oOHYpR9Kyz/r64dRsHp72R+H1yGBvHm1TizsaVcLdrWTX2RMREfknNXkiIiJF5G/zoMAwLngfqwVe6FKP3k2rlvgi6iIiIueivz4iIiJFtCrpJMmFh2iem92A2uEBavBERMQ0+gskIiJSRMfSzz5M80ruJyIiUhLU5ImIiBRRmL+tWO8nIiJSEtTkiYiIFFHTqHJUCLRxvhmZFqBCoI2mUVrgXEREzKMmT0REpIjcrBZe6FIP4KxG76/rL3SpV7henoiIiBnU5ImIiFyCjvUrMP7e64kIPPOQzIhAG+PvvZ6O9SuYlExERMRBSyiIiIhcoo71K9CuXgS/7z7OzgPJ1IwMpVn18tqDJyIiTkFNnoiIyGVws1qIrR5Cdb8CwsJCsKrBExERJ6HDNUVERERERFyImjwREREREREXoiZPRERERETEhajJExERERERcSFq8kRERERERFyImjwREREREREXoiZPRERERETEhajJExERERERcSFq8kRERERERFyImjwREREREREXoiZPRERERETEhbibHaA4GYYBQFpamslJ/ma320lPT8dms2G1qqe+mlR7c6ju5lDdzaG6m0N1N4fqbg7V3RzOWve/+py/+p7zcakmLz09HYDKlSubnERERERERKRkpKenExgYeN6vW4yLtYGliN1u59ChQ/j7+2OxWMyOAzi67cqVK7N//34CAgLMjlOmqPbmUN3NobqbQ3U3h+puDtXdHKq7OZy17oZhkJ6eTsWKFS+4h9Gl9uRZrVYiIyPNjnFOAQEBTrWBlCWqvTlUd3Oo7uZQ3c2huptDdTeH6m4OZ6z7hfbg/cV5DjAVERERERGRK6YmT0RERERExIWoySthXl5evPDCC3h5eZkdpcxR7c2huptDdTeH6m4O1d0cqrs5VHdzlPa6u9TgFRERERERkbJOe/JERERERERciJo8ERERERERF6ImT0RE5AodPXqUVatWkZmZaXaUMke1FxE5m5q885g1axbVq1fH3d2dhg0bsmXLFgASExOJiYkhODiYESNG8M9TGj/55BMqVKiAh4cHrVq14vDhw2c85s6dOylXrtwl5Zg+fTpVq1alYsWKTJs27cpfmJNzlrpHR0djsVgK/xs8ePCVvzgnVtx1v9jP5Hy0vZtTd23vV1b3sWPHUqdOHQYMGEBkZCRLly4tUo6ytr2D89Re2/yV/20FyMvL47rrrmPx4sVFyjFu3DjCw8OpXr06CxcuLJbX5sycoe6GYRAUFHTG9v7KK68U22t0RsVd965du55Rv7Zt2xYph+m/4w05y86dO43g4GDjq6++Mo4cOWLcddddRvPmzY3s7GyjWrVqxpAhQ4ydO3cat956qxEXF2cYhmEsXbrUCAsLM+bPn2/s37/faNmypdGnT5/Cx9y1a5dRq1Yt41JKvnHjRsPT09OYMGGCsWHDBqNmzZrG1q1bi/31OgtnqXtmZqbh4+NjHDt2zEhJSTFSUlKMrKysYn+9zqK4636xn8n5aHs3p+7a3q+s7jt27DDCw8ONAwcOGIZhGC+88ILRqlWri+Yoa9u7YThP7bXNX/nf1r+88sorBmAsWrToojnmzp1r2Gw2Y+bMmcby5cuNqKgo4/jx48X9cp2Gs9R927ZtRtWqVQu39ZSUFCM7O7u4X67TKIm6V6hQwdi4cWNh/TIyMi6awxl+x6vJO4cffvjB+PjjjwuvL1y40PD29ja+++47Izg42MjMzDQMwzD++OMPo0WLFoZhGEZcXJzx3XffFX5PXFycUbdu3cLr9erVM8aMGXNJzcajjz5qdOjQofD62LFjjWeeeeZyX5bTc5a6L1u2zIiNjb3CV1N6FHfdL/YzOR9t7+bUXdv7ldU9MTHRmDVrVuHXZs2aZdSvX/+iOcra9m4YzlN7bfNX/rfVMAxj+/btRlBQkFGtWrUiNRvdunUzhgwZUnj9scceMyZMmHAFr8y5OUvdP//8c6NXr15X/oJKieKu+4EDB4yIiIhLzuEMv+Pdr/6+Q+fXuXPnM65v27aNWrVqkZCQQGxsLD4+PoDjcI/NmzcDMHDgwHN+z19+/PFHLBYLI0aMKHKOhIQEOnXqVHi9adOmvPzyy5f8ekoLZ6n7qlWrOHDgAKGhoeTl5dG7d2/Gjh1batdJuZjirvvFfibno+3dnLpre7+yul977bVce+21AGRmZjJu3DjuuOOOi+Yoa9s7OE/ttc1f+d9WgCFDhvDf//6XOXPmFClHQkICffr0KbzetGlTlixZ4rKHyjpL3VetWsWqVasICgrC09OTBx54gFGjRmGxWC73pTm14q77qlWrKCgoIDIykpSUFLp06cL48eMJDg6+YA5n+B2vc/IuIjc3l7fffpsHH3yQtLQ0oqKiCr9msVhwc3MjJSXljO85efIkH3/8MQ8++GDhbf/8vqL69/MFBARw6NChy3gVpY+Zdd+2bRs33ngjy5YtY968ecyfP59333338l9MKVJcdS/K1/5N27s5ddf2Xjx1nz17NhUqVODQoUM899xzF33usry9g7m11zZ/5XWfOHEiqampPPnkk0V+7rK8zZtZ9+3bt9OlSxfWr1/P1KlT+eijj/jqq6+u/EWVAsVR961bt9KgQQN++uknVq5cSVJSEiNHjrzoczvD9q4m7yJeeOEFfH19GTx4MO7u7md90mez2cjKyjrjtoceeojmzZuf0cFfjn8/37mey1WZWfePPvqIadOmUadOHZo1a8bzzz/P9OnTr+gxS4virvul/Ey0vZtTd23vxVP39u3b88MPPwAU6Q1AWd7ewdzaa5u/sronJyczcuRI4uLicHNzK/Jzl+Vt3sy6z5kzh7FjxxIVFUXbtm155JFHtL3/qSh1HzlyJPPnz6dBgwZcd911jBkzpkj1c4btXYdrXsDChQsZN24cK1euxMPDg3LlypGYmHjGfdLT0/H09Cy8PmnSJBYtWkRCQsIVP3+5cuVITk4+73O5KrPr/m9hYWEcPHiw2B/X2RR33S/1Z6Lt3Zy6/5u2979dSt3d3d1p1aoV7733Ht27d+ett9664POX1e0dzK/9v2mb/1tR6v7YY49x33330aBBg0t6/rK6zZtd93/T9v63y3kvGRYWxokTJ8jJybngId5Osb1f1TMAS5Hdu3cbYWFhxuTJkwtv++WXX4waNWqccR+bzWbk5+cbhmEYq1evNvz9/c97ImxSUtIlDQB57rnnjPvuu6/welxcnNGuXbtLfCWlizPUPTY21ti3b1/h9eeff95o1qzZJb6S0qW4636xn8m5aHt3uNp11/bucLl1//LLL4233nqr8PqyZcuMkJCQi2Yoi9u7YThH7bXNO1xu3QHD39/fCAwMNAIDAw03NzfD19fXeO211y6YoW/fvsaoUaMKrz///PPG/fffXwyvznmZXfesrCyjfv36Z0yP7devn9GzZ89ieoXOqTjrfvfddxtLly4tvB4XF2eEh4dfNIMz/I5Xk3cOWVlZRr169Yz777/fSE9PL/wvNzfXCA0NLRy5OnjwYKNz586GYRjG0aNHjYiICGPUqFFnfM8/na/ZSElJKdzI/umPP/4wfH19jQ0bNhjp6elGw4YNz/iD5mqcpe733Xef0alTJ2PlypVGfHy84evra8THx5fAK3YOxV33i/1MtL07OEvdtb1fWd3Xr19v+Pn5GTNmzDCSkpKMdu3aGQ8++GDh82l7/5uz1F7b/JXVPSkp6Yz/mjVrZkybNs1ISUkxCgoKjJSUFMNut5+VY9asWUaFChWMAwcOGEeOHDEqVapkTJ8+/eoV4ipzlrq3adPGGDBggLF69WrjnXfeMdzd3Y3FixdfvUJcZcVd91GjRhlNmjQxli5danz33XdGeHi48eKLLxY+nzP/jleTdw4zZ840gLP+S0pKMmbNmmX4+PgYISEhRmhoqLFp0ybDMByjUc/1Pf90vmYDMNavX3/OLP/73/8MT09PIyAgwGjcuLFLr+XjLHVPSUkxbr/9dsPb29uoWrWq8eGHH5bI63UWxV33i/1MtL07OEvdtb1f+e+ZL774wqhWrZoRFBRkDB48uHBEt2Foe/8nZ6m9tvni+dv6l1atWhXu/fjr721KSspZ97Pb7ca9995reHt7G97e3kbnzp3P2ZS4Cmep+969e42bb77Z8PLyMurUqePSjbVhFH/dc3NzjUGDBhm+vr5GRESE8dJLLxl5eXmFz+fMv+MthvGP5d6lSI4cOcLatWuJjY0lJCSkxJ9v8+bNHDx4kFatWpWJ49fP52rXXRy0vZtD27s5tL2bR9u8Oa523VevXk1mZiatWrVy2TH+RaHt3Rxl6Xe8mjwREREREREXoiUUREREREREXIiaPBEREREREReiJk9ERERERMSFqMkTERE5h7y8PGJjY/npp5+K/D0LFy7k5MmTZ92enp5ORkZGccYTERE5LzV5IiIi5/Dtt9+yZ88eWrRoUaT7G4bBgAED+P777wFITExk1KhRAPTt25evvvqqxLKKiIj8k5o8ERGRf7Hb7bzyyisYhsGNN95I/fr1qVGjBnXr1qV+/fpcc801VKlShbfeeqvwexYsWICnpyd9+/YFYMaMGfzxxx8AdO/endmzZ5vxUkREpAxyNzuAiIiIsxk3bhweHh4cOXKkcC2vhg0b8tZbb9G2bdtzfs+rr77Ko48+ipubGwUFBcTHx/PJJ58A0LVrV4YNG8aBAweIjIy8aq9DRETKJu3JExER+Yf9+/fz3HPP8frrrxd5seZZs2bx66+/UqFCBQAmTpxI+fLlCxvCoKAgHn74YUaOHFliuUVERP6iJk9ERORPubm53HnnnbRo0YIOHTqc8z6GYZCfn092djYAKSkpPPLII5QvXx6APXv2MGLECN57770zvu+ZZ55h0aJFOjdPRERKnMUwDMPsECIiIs7AMAzmz59PzZo16dChA4ZhYLPZANi1axfh4eH4+PhQUFBA+fLlWb58OZ988gkrV67k5MmTtGvXjnfffZfg4GA2bdqEp6fnGY8fExPD77//zrZt2wr3+omIiBQ3NXkiIiLnUL9+feLj42nSpAlw4XPy8vLyuOuuu+jZsyfp6ekMHDiQrVu30r17d3bs2AFA7969adu2LW3atKFatWpX86WIiEgZo8ErIiIif8rPz6egoAAPDw/c3NwueF+73U5eXh4eHh54eHgA4OHhwQMPPADAiRMnqFixYuH9c3Nz8fX1VYMnIiIlTk2eiIjIn2bNmsVTTz2Fu7s7Hh4eDBgwoPBru3bt4v7778fX1xf4+9y8yZMn06xZs7Mea9myZTRt2rTwenZ2Nt7e3iX+GkRERNTkiYiI/KlHjx706NHjnF+72BIK/zz7ISsri/j4eCZNmlR4W1paGn5+fsUbWERE5BzU5ImIiBRBQUEBBQUF5/16bm4uubm5pKam0rNnT5o2bUqLFi3Ytm0b+/fvZ+PGjWccvikiIlJS1OSJiIgUwenTp8nNzT3v1/9q8j799FM8PDyYOHEiAPPmzWP8+PEMHTqUunXrXq24IiJShmm6poiISDGz2+1YrVqKVkREzKEmT0RERERExIXoY0YREREREREXoiZPRERERETEhajJExERERERcSFq8kRERERERFyImjwREREREREXoiZPRERERETEhajJExERERERcSFq8kRERERERFyImjwREREREREXoiZPRERERETEhfw/aG9LgM1NnJsAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trend_metrics_1 = ['ROE', '毛利率', '净利率']\n",
    "trend_metrics_2 = ['营业收入增长率', '净利润增长率']\n",
    "\n",
    "plt.figure(figsize=(9, 5))\n",
    "for metric in trend_metrics_1:\n",
    "    plt.plot(target_data['年份'], target_data[metric], marker='o', label=metric)\n",
    "plt.title('春风动力盈利能力指标趋势')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('百分比（%）')\n",
    "plt.legend()\n",
    "plt.grid(alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "available_growth_metrics = [m for m in trend_metrics_2 if m in target_data.columns]\n",
    "plt.figure(figsize=(9, 5))\n",
    "for metric in available_growth_metrics:\n",
    "    plt.plot(target_data['年份'], target_data[metric], marker='o', label=metric)\n",
    "plt.title('春风动力成长能力指标趋势')\n",
    "plt.xlabel('年份')\n",
    "plt.ylabel('百分比（%）')\n",
    "plt.legend()\n",
    "plt.grid(alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b9670cec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "春风动力近五年财务状况判断：总体改善。\n",
      "改善指标：ROE、毛利率、净利率、净利润增长率，说明公司在相关方面表现增强。\n",
      "走弱指标：营业收入增长率，说明仍需关注盈利或成长压力。\n"
     ]
    },
    {
     "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>指标</th>\n",
       "      <th>趋势判断</th>\n",
       "      <th>方向</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ROE</td>\n",
       "      <td>总体改善，由16.04上升至24.46，期间存在一定波动</td>\n",
       "      <td>改善</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>毛利率</td>\n",
       "      <td>总体改善，由21.53上升至26.94，期间存在一定波动</td>\n",
       "      <td>改善</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>净利率</td>\n",
       "      <td>总体改善，由5.23上升至8.78，期间存在一定波动</td>\n",
       "      <td>改善</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>营业收入增长率</td>\n",
       "      <td>总体走弱，由73.71下降至31.30，最高值为73.71，最低值为6.44</td>\n",
       "      <td>恶化</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>净利润增长率</td>\n",
       "      <td>总体改善，由12.78上升至13.83，期间存在一定波动</td>\n",
       "      <td>改善</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        指标                                    趋势判断  方向\n",
       "0      ROE            总体改善，由16.04上升至24.46，期间存在一定波动  改善\n",
       "1      毛利率            总体改善，由21.53上升至26.94，期间存在一定波动  改善\n",
       "2      净利率              总体改善，由5.23上升至8.78，期间存在一定波动  改善\n",
       "3  营业收入增长率  总体走弱，由73.71下降至31.30，最高值为73.71，最低值为6.44  恶化\n",
       "4   净利润增长率            总体改善，由12.78上升至13.83，期间存在一定波动  改善"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def describe_trend(series):\n",
    "    clean_series = series.dropna()\n",
    "    if len(clean_series) < 2:\n",
    "        return '数据不足，暂难判断', '数据不足'\n",
    "    first_value = clean_series.iloc[0]\n",
    "    last_value = clean_series.iloc[-1]\n",
    "    max_value = clean_series.max()\n",
    "    min_value = clean_series.min()\n",
    "    if last_value > first_value and clean_series.is_monotonic_increasing:\n",
    "        return f'持续改善，由{first_value:.2f}上升至{last_value:.2f}', '改善'\n",
    "    if last_value > first_value:\n",
    "        return f'总体改善，由{first_value:.2f}上升至{last_value:.2f}，期间存在一定波动', '改善'\n",
    "    if last_value < first_value and clean_series.is_monotonic_decreasing:\n",
    "        return f'持续走弱，由{first_value:.2f}下降至{last_value:.2f}', '恶化'\n",
    "    if last_value < first_value:\n",
    "        return f'总体走弱，由{first_value:.2f}下降至{last_value:.2f}，最高值为{max_value:.2f}，最低值为{min_value:.2f}', '恶化'\n",
    "    return f'总体保持稳定，最高值为{max_value:.2f}，最低值为{min_value:.2f}', '稳定'\n",
    "\n",
    "trend_rows = []\n",
    "for metric in trend_metrics_1 + available_growth_metrics:\n",
    "    description, direction = describe_trend(target_data[metric])\n",
    "    trend_rows.append({'指标': metric, '趋势判断': description, '方向': direction})\n",
    "\n",
    "trend_summary = pd.DataFrame(trend_rows)\n",
    "improved_metrics = trend_summary.loc[trend_summary['方向'] == '改善', '指标'].tolist()\n",
    "weakened_metrics = trend_summary.loc[trend_summary['方向'] == '恶化', '指标'].tolist()\n",
    "\n",
    "if len(improved_metrics) > len(weakened_metrics):\n",
    "    financial_status = '总体改善'\n",
    "elif len(improved_metrics) < len(weakened_metrics):\n",
    "    financial_status = '总体恶化'\n",
    "else:\n",
    "    financial_status = '整体波动'\n",
    "\n",
    "print(f'春风动力近五年财务状况判断：{financial_status}。')\n",
    "if improved_metrics:\n",
    "    print('改善指标：' + '、'.join(improved_metrics) + '，说明公司在相关方面表现增强。')\n",
    "if weakened_metrics:\n",
    "    print('走弱指标：' + '、'.join(weakened_metrics) + '，说明仍需关注盈利或成长压力。')\n",
    "\n",
    "trend_summary"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c66c93a5",
   "metadata": {},
   "source": [
    "根据趋势判断表，春风动力近五年财务状态可以概括为“总体改善、总体恶化或整体波动”三类。若 ROE、毛利率、净利率等盈利指标上升，说明公司盈利质量增强；若营业收入增长率和净利润增长率上升，说明成长能力改善。若部分指标上升、部分指标下降，则说明公司处于波动调整状态，需要结合成本压力、费用投入、产品结构和行业需求变化进一步分析。整体来看，任务四的结论应以趋势判断表输出的“财务状况判断”为准。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6bed700",
   "metadata": {},
   "source": [
    "# 5：同业比较分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "36299381",
   "metadata": {},
   "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>年份</th>\n",
       "      <th>ROE</th>\n",
       "      <th>毛利率</th>\n",
       "      <th>净利率</th>\n",
       "      <th>营业收入增长率</th>\n",
       "      <th>净利润增长率</th>\n",
       "      <th>资产负债率</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>公司名称</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>春风动力</th>\n",
       "      <td>2025</td>\n",
       "      <td>24.4649</td>\n",
       "      <td>26.9371</td>\n",
       "      <td>8.7802</td>\n",
       "      <td>31.3040</td>\n",
       "      <td>13.8344</td>\n",
       "      <td>59.8487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>钱江摩托</th>\n",
       "      <td>2025</td>\n",
       "      <td>19.2345</td>\n",
       "      <td>25.1568</td>\n",
       "      <td>17.9768</td>\n",
       "      <td>-10.2227</td>\n",
       "      <td>44.3896</td>\n",
       "      <td>45.8585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>宗申动力</th>\n",
       "      <td>2025</td>\n",
       "      <td>12.8200</td>\n",
       "      <td>13.5897</td>\n",
       "      <td>5.4848</td>\n",
       "      <td>18.5488</td>\n",
       "      <td>44.2529</td>\n",
       "      <td>53.0488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>爱玛科技</th>\n",
       "      <td>2025</td>\n",
       "      <td>21.3923</td>\n",
       "      <td>18.2909</td>\n",
       "      <td>8.2633</td>\n",
       "      <td>16.1447</td>\n",
       "      <td>2.3427</td>\n",
       "      <td>60.5670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>隆鑫通用</th>\n",
       "      <td>2025</td>\n",
       "      <td>17.5654</td>\n",
       "      <td>19.0261</td>\n",
       "      <td>8.5303</td>\n",
       "      <td>13.7491</td>\n",
       "      <td>46.9537</td>\n",
       "      <td>44.3772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>九号公司</th>\n",
       "      <td>2025</td>\n",
       "      <td>26.4058</td>\n",
       "      <td>29.6296</td>\n",
       "      <td>8.2824</td>\n",
       "      <td>49.8884</td>\n",
       "      <td>62.1740</td>\n",
       "      <td>66.2589</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        年份      ROE      毛利率      净利率  营业收入增长率   净利润增长率    资产负债率\n",
       "公司名称                                                            \n",
       "春风动力  2025  24.4649  26.9371   8.7802  31.3040  13.8344  59.8487\n",
       "钱江摩托  2025  19.2345  25.1568  17.9768 -10.2227  44.3896  45.8585\n",
       "宗申动力  2025  12.8200  13.5897   5.4848  18.5488  44.2529  53.0488\n",
       "爱玛科技  2025  21.3923  18.2909   8.2633  16.1447   2.3427  60.5670\n",
       "隆鑫通用  2025  17.5654  19.0261   8.5303  13.7491  46.9537  44.3772\n",
       "九号公司  2025  26.4058  29.6296   8.2824  49.8884  62.1740  66.2589"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "peer_names = ['春风动力', '钱江摩托', '宗申动力', '爱玛科技', '隆鑫通用', '九号公司']\n",
    "peer_records = []\n",
    "\n",
    "for name in peer_names:\n",
    "    data = get_annual_indicator(company_codes[name])\n",
    "    if data.empty:\n",
    "        continue\n",
    "    latest = data.sort_values('年份').tail(1).copy()\n",
    "    latest['公司名称'] = name\n",
    "    peer_records.append(latest)\n",
    "    time.sleep(0.2)\n",
    "\n",
    "peer_compare = pd.concat(peer_records, ignore_index=True)\n",
    "compare_metrics = ['ROE', '毛利率', '净利率', '营业收入增长率', '净利润增长率', '资产负债率']\n",
    "peer_compare_table = peer_compare[['公司名称', '年份'] + compare_metrics].set_index('公司名称')\n",
    "peer_compare_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5c114791",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "peer_compare_table[['ROE', '毛利率', '净利率']].plot(kind='bar', width=0.8, figsize=(10, 5))\n",
    "plt.title('同业公司盈利能力比较')\n",
    "plt.xlabel('公司名称')\n",
    "plt.ylabel('百分比（%）')\n",
    "plt.xticks(rotation=0)\n",
    "plt.grid(axis='y', alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "peer_compare_table[['营业收入增长率', '净利润增长率', '资产负债率']].plot(kind='bar', width=0.8, figsize=(10, 5))\n",
    "plt.title('同业公司成长能力与财务结构比较')\n",
    "plt.xlabel('公司名称')\n",
    "plt.ylabel('百分比（%）')\n",
    "plt.xticks(rotation=0)\n",
    "plt.grid(axis='y', alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d8efa28b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "春风动力在本次同业比较中的平均排名为第2.60名，整体处于行业中等位置。\n"
     ]
    },
    {
     "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>ROE</th>\n",
       "      <th>毛利率</th>\n",
       "      <th>净利率</th>\n",
       "      <th>营业收入增长率</th>\n",
       "      <th>净利润增长率</th>\n",
       "      <th>平均排名</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>公司名称</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>九号公司</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>春风动力</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>钱江摩托</th>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>隆鑫通用</th>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>爱玛科技</th>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>宗申动力</th>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ROE  毛利率  净利率  营业收入增长率  净利润增长率  平均排名\n",
       "公司名称                                      \n",
       "九号公司  1.0  1.0  4.0      1.0     1.0   1.6\n",
       "春风动力  2.0  2.0  2.0      2.0     5.0   2.6\n",
       "钱江摩托  4.0  3.0  1.0      6.0     3.0   3.4\n",
       "隆鑫通用  5.0  4.0  3.0      5.0     2.0   3.8\n",
       "爱玛科技  3.0  5.0  5.0      4.0     6.0   4.6\n",
       "宗申动力  6.0  6.0  6.0      3.0     4.0   5.0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rank_metrics = ['ROE', '毛利率', '净利率', '营业收入增长率', '净利润增长率']\n",
    "rank_table = peer_compare_table[rank_metrics].rank(ascending=False, method='min')\n",
    "rank_table['平均排名'] = rank_table.mean(axis=1)\n",
    "rank_table = rank_table.sort_values('平均排名')\n",
    "\n",
    "target_rank = rank_table.loc[target_name, '平均排名']\n",
    "company_count = len(rank_table)\n",
    "if target_rank <= company_count / 3:\n",
    "    industry_position = '领先'\n",
    "elif target_rank <= company_count * 2 / 3:\n",
    "    industry_position = '中等'\n",
    "else:\n",
    "    industry_position = '偏弱'\n",
    "\n",
    "print(f'{target_name}在本次同业比较中的平均排名为第{target_rank:.2f}名，整体处于行业{industry_position}位置。')\n",
    "rank_table"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78774277",
   "metadata": {},
   "source": [
    "横向比较结果显示，春风动力在同业中的位置由排名表自动判断。ROE、毛利率和净利率代表盈利质量，指标越高说明公司资本回报和产品获利能力越强；营业收入增长率和净利润增长率代表成长能力，指标越高说明扩张速度和利润释放能力越好。资产负债率用于辅助观察财务结构，比例过高可能增加偿债压力。若排名表显示春风动力平均排名位于前 1/3，则可判断其处于行业领先位置；若位于中间 1/3，则处于行业中等位置；若位于后 1/3，则说明同业竞争中相对偏弱。最终结论以上方代码打印出的行业位置为准。"
   ]
  }
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