{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# K線 反轉型態 - 多頭吞噬/空頭吞噬型態 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 0: Import 套件"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- TA-Lib: https://mrjbq7.github.io/ta-lib/install.html\n",
    "- plotly: https://plotly.com/python/\n",
    "- yfinance: https://pypi.org/project/yfinance/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#財經分析套件\n",
    "import talib\n",
    "\n",
    "# 下載資料套件\n",
    "import yfinance as yf\n",
    "import requests as r\n",
    "\n",
    "#資料處理套件\n",
    "import pandas as pd\n",
    "import json\n",
    "from datetime import datetime, date\n",
    "\n",
    "# 畫圖套件\n",
    "import plotly.graph_objects as go"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果沒有上述套件 可以用pip install 或 conda install 指令安裝\n",
    "1. pip install\n",
    "    - pip install plotly\n",
    "    - pip install TA-Lib\n",
    "    - pip install yfinance\n",
    "2. conda install\n",
    "    - conda install -c plotly plotly\n",
    "    - conda install -c conda-forge ta-lib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 1: 在台股個股Ｋ線圖上，標示出 多頭吞噬/空頭吞噬 Ｋ線型態"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.1 下載台股個股歷史走勢資料\n",
    "\n",
    "- 股海小英雄youtube影片：[【Python 爬蟲】台股個股資料免費下載｜選擇想要的個股資料！](https://youtu.be/_4CEymrQbV8)\n",
    "- 資料來源：[證交所 個股日成交資訊](https://www.twse.com.tw/zh/page/trading/exchange/STOCK_DAY.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_tw_stock_data(start_year, start_month, end_year, end_month, stock_code):\n",
    "    start_date = str(date(start_year, start_month, 1))\n",
    "    end_date = str(date(end_year, end_month, 1))\n",
    "    month_list = pd.date_range(start_date, end_date, freq='MS').strftime(\"%Y%m%d\").tolist()\n",
    "    \n",
    "    df = pd.DataFrame()\n",
    "    for month in month_list:\n",
    "        url = \"https://www.twse.com.tw/exchangeReport/STOCK_DAY?response=json&date=\"+ month + \"&stockNo=\" + str(stock_code)\n",
    "        res = r.get(url)\n",
    "        stock_json = res.json()\n",
    "        stock_df = pd.DataFrame.from_dict(stock_json['data'])\n",
    "        df = df.append(stock_df, ignore_index = True)\n",
    "        \n",
    "    # 資料轉型\n",
    "    for col in [0, 1, 2, 3, 4, 5, 6, 8]:\n",
    "        for row in range(df.shape[0]):\n",
    "            # 把\"日期\"從字串(string)換成時間(datetime)，並將民國年換成西元年\n",
    "            if col == 0:\n",
    "                day = df.iloc[row,0].split('/')\n",
    "                df.iloc[row, 0] = datetime(int(day[0]) + 1911, int(day[1]), int(day[2]))  \n",
    "            # 把\"開盤價\", \"最高價\", \"最低價\", \"收盤價\"帶有逗號的字串(string)換成浮點數(float) \n",
    "            elif col != 0:\n",
    "                df.iloc[row, col] = float(df.iloc[row,col].replace(',', ''))\n",
    "    \n",
    "    df.columns = ['日期', '成交股數', '成交金額', '開盤價', '最高價', '最低價', '收盤價', '漲跌價差', '成交筆數']\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>日期</th>\n",
       "      <th>成交股數</th>\n",
       "      <th>成交金額</th>\n",
       "      <th>開盤價</th>\n",
       "      <th>最高價</th>\n",
       "      <th>最低價</th>\n",
       "      <th>收盤價</th>\n",
       "      <th>漲跌價差</th>\n",
       "      <th>成交筆數</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-06-01 00:00:00</td>\n",
       "      <td>542547770.0</td>\n",
       "      <td>55984576106.0</td>\n",
       "      <td>101.5</td>\n",
       "      <td>108.0</td>\n",
       "      <td>98.2</td>\n",
       "      <td>108.0</td>\n",
       "      <td>+9.40</td>\n",
       "      <td>196823.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-06-02 00:00:00</td>\n",
       "      <td>696150855.0</td>\n",
       "      <td>78107414405.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>115.5</td>\n",
       "      <td>108.5</td>\n",
       "      <td>110.5</td>\n",
       "      <td>+2.50</td>\n",
       "      <td>232375.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-06-03 00:00:00</td>\n",
       "      <td>561492548.0</td>\n",
       "      <td>65330004183.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>112.5</td>\n",
       "      <td>119.0</td>\n",
       "      <td>+8.50</td>\n",
       "      <td>185050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-06-04 00:00:00</td>\n",
       "      <td>440988606.0</td>\n",
       "      <td>52466457011.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>121.5</td>\n",
       "      <td>116.0</td>\n",
       "      <td>116.5</td>\n",
       "      <td>-2.50</td>\n",
       "      <td>174236.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-06-07 00:00:00</td>\n",
       "      <td>669467351.0</td>\n",
       "      <td>74752165886.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>120.5</td>\n",
       "      <td>105.0</td>\n",
       "      <td>110.5</td>\n",
       "      <td>-6.00</td>\n",
       "      <td>248926.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    日期         成交股數           成交金額    開盤價    最高價    最低價  \\\n",
       "0  2021-06-01 00:00:00  542547770.0  55984576106.0  101.5  108.0   98.2   \n",
       "1  2021-06-02 00:00:00  696150855.0  78107414405.0  110.0  115.5  108.5   \n",
       "2  2021-06-03 00:00:00  561492548.0  65330004183.0  114.0  121.0  112.5   \n",
       "3  2021-06-04 00:00:00  440988606.0  52466457011.0  119.0  121.5  116.0   \n",
       "4  2021-06-07 00:00:00  669467351.0  74752165886.0  119.0  120.5  105.0   \n",
       "\n",
       "     收盤價   漲跌價差      成交筆數  \n",
       "0  108.0  +9.40  196823.0  \n",
       "1  110.5  +2.50  232375.0  \n",
       "2  119.0  +8.50  185050.0  \n",
       "3  116.5  -2.50  174236.0  \n",
       "4  110.5  -6.00  248926.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#下載台股長榮海運:2603\n",
    "df = get_tw_stock_data(start_year = 2021, \n",
    "                       start_month = 6, \n",
    "                       end_year = 2021, \n",
    "                       end_month = 8, \n",
    "                       stock_code = 2603)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 1.2: 用Ta-Lib套件，找出 多頭吞噬/空頭吞噬 K線型態\n",
    "- [Ta-Lib K線型態介紹](https://www.quantshare.com/index.php?option=manual&dir=/QuantShare%20Language/Candlestick%20Pattern)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ta-Lib支援的K線型態們"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['CDL2CROWS', 'CDL3BLACKCROWS', 'CDL3INSIDE', 'CDL3LINESTRIKE', 'CDL3OUTSIDE', 'CDL3STARSINSOUTH', 'CDL3WHITESOLDIERS', 'CDLABANDONEDBABY', 'CDLADVANCEBLOCK', 'CDLBELTHOLD', 'CDLBREAKAWAY', 'CDLCLOSINGMARUBOZU', 'CDLCONCEALBABYSWALL', 'CDLCOUNTERATTACK', 'CDLDARKCLOUDCOVER', 'CDLDOJI', 'CDLDOJISTAR', 'CDLDRAGONFLYDOJI', 'CDLENGULFING', 'CDLEVENINGDOJISTAR', 'CDLEVENINGSTAR', 'CDLGAPSIDESIDEWHITE', 'CDLGRAVESTONEDOJI', 'CDLHAMMER', 'CDLHANGINGMAN', 'CDLHARAMI', 'CDLHARAMICROSS', 'CDLHIGHWAVE', 'CDLHIKKAKE', 'CDLHIKKAKEMOD', 'CDLHOMINGPIGEON', 'CDLIDENTICAL3CROWS', 'CDLINNECK', 'CDLINVERTEDHAMMER', 'CDLKICKING', 'CDLKICKINGBYLENGTH', 'CDLLADDERBOTTOM', 'CDLLONGLEGGEDDOJI', 'CDLLONGLINE', 'CDLMARUBOZU', 'CDLMATCHINGLOW', 'CDLMATHOLD', 'CDLMORNINGDOJISTAR', 'CDLMORNINGSTAR', 'CDLONNECK', 'CDLPIERCING', 'CDLRICKSHAWMAN', 'CDLRISEFALL3METHODS', 'CDLSEPARATINGLINES', 'CDLSHOOTINGSTAR', 'CDLSHORTLINE', 'CDLSPINNINGTOP', 'CDLSTALLEDPATTERN', 'CDLSTICKSANDWICH', 'CDLTAKURI', 'CDLTASUKIGAP', 'CDLTHRUSTING', 'CDLTRISTAR', 'CDLUNIQUE3RIVER', 'CDLUPSIDEGAP2CROWS', 'CDLXSIDEGAP3METHODS']\n"
     ]
    }
   ],
   "source": [
    "print(talib.get_function_groups()['Pattern Recognition'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ta-Lib K線型態函式名稱\n",
    "- 吞噬: 'CDLENGULFING'\n",
    "\n",
    "### Ta-Lib K線型態函式回傳值\n",
    "- 偏上漲型態: +100\n",
    "- 無此型態: 0\n",
    "- 偏下跌型態: -100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 計算 吞噬 型態"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>日期</th>\n",
       "      <th>成交股數</th>\n",
       "      <th>成交金額</th>\n",
       "      <th>開盤價</th>\n",
       "      <th>最高價</th>\n",
       "      <th>最低價</th>\n",
       "      <th>收盤價</th>\n",
       "      <th>漲跌價差</th>\n",
       "      <th>成交筆數</th>\n",
       "      <th>CDLENGULFING</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-06-01 00:00:00</td>\n",
       "      <td>542547770.0</td>\n",
       "      <td>55984576106.0</td>\n",
       "      <td>101.5</td>\n",
       "      <td>108.0</td>\n",
       "      <td>98.2</td>\n",
       "      <td>108.0</td>\n",
       "      <td>+9.40</td>\n",
       "      <td>196823.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-06-02 00:00:00</td>\n",
       "      <td>696150855.0</td>\n",
       "      <td>78107414405.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>115.5</td>\n",
       "      <td>108.5</td>\n",
       "      <td>110.5</td>\n",
       "      <td>+2.50</td>\n",
       "      <td>232375.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-06-03 00:00:00</td>\n",
       "      <td>561492548.0</td>\n",
       "      <td>65330004183.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>112.5</td>\n",
       "      <td>119.0</td>\n",
       "      <td>+8.50</td>\n",
       "      <td>185050.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-06-04 00:00:00</td>\n",
       "      <td>440988606.0</td>\n",
       "      <td>52466457011.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>121.5</td>\n",
       "      <td>116.0</td>\n",
       "      <td>116.5</td>\n",
       "      <td>-2.50</td>\n",
       "      <td>174236.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-06-07 00:00:00</td>\n",
       "      <td>669467351.0</td>\n",
       "      <td>74752165886.0</td>\n",
       "      <td>119.0</td>\n",
       "      <td>120.5</td>\n",
       "      <td>105.0</td>\n",
       "      <td>110.5</td>\n",
       "      <td>-6.00</td>\n",
       "      <td>248926.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    日期         成交股數           成交金額    開盤價    最高價    最低價  \\\n",
       "0  2021-06-01 00:00:00  542547770.0  55984576106.0  101.5  108.0   98.2   \n",
       "1  2021-06-02 00:00:00  696150855.0  78107414405.0  110.0  115.5  108.5   \n",
       "2  2021-06-03 00:00:00  561492548.0  65330004183.0  114.0  121.0  112.5   \n",
       "3  2021-06-04 00:00:00  440988606.0  52466457011.0  119.0  121.5  116.0   \n",
       "4  2021-06-07 00:00:00  669467351.0  74752165886.0  119.0  120.5  105.0   \n",
       "\n",
       "     收盤價   漲跌價差      成交筆數  CDLENGULFING  \n",
       "0  108.0  +9.40  196823.0             0  \n",
       "1  110.5  +2.50  232375.0             0  \n",
       "2  119.0  +8.50  185050.0             0  \n",
       "3  116.5  -2.50  174236.0             0  \n",
       "4  110.5  -6.00  248926.0             0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 使用ta-lib吞噬型態函式\n",
    "candle_names = ['CDLENGULFING']\n",
    "\n",
    "# 加K線型態的欄位 create columns for  pattern\n",
    "for candle in candle_names:\n",
    "    df[candle] = getattr(talib, candle)(df['開盤價'], df['最高價'], df['最低價'], df['收盤價'])\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 找出 吞噬: 'CDLENGULFING' 型態\n",
    "- 'CDLENGULFING' 函式回傳值 **100**: 多頭吞噬，偏上漲型態\n",
    "- 'CDLENGULFING' 函式回傳值 **-100**: 空頭吞噬，偏下跌型態"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>日期</th>\n",
       "      <th>成交股數</th>\n",
       "      <th>成交金額</th>\n",
       "      <th>開盤價</th>\n",
       "      <th>最高價</th>\n",
       "      <th>最低價</th>\n",
       "      <th>收盤價</th>\n",
       "      <th>漲跌價差</th>\n",
       "      <th>成交筆數</th>\n",
       "      <th>CDLENGULFING</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2021-06-24 00:00:00</td>\n",
       "      <td>135489137.0</td>\n",
       "      <td>19902117472.0</td>\n",
       "      <td>136.5</td>\n",
       "      <td>152.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>+13.50</td>\n",
       "      <td>74539.0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2021-07-12 00:00:00</td>\n",
       "      <td>62036379.0</td>\n",
       "      <td>11478840019.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>197.5</td>\n",
       "      <td>174.5</td>\n",
       "      <td>183.0</td>\n",
       "      <td>-4.00</td>\n",
       "      <td>37539.0</td>\n",
       "      <td>-100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2021-07-30 00:00:00</td>\n",
       "      <td>775707663.0</td>\n",
       "      <td>110746265916.0</td>\n",
       "      <td>145.0</td>\n",
       "      <td>150.5</td>\n",
       "      <td>131.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>-12.50</td>\n",
       "      <td>342643.0</td>\n",
       "      <td>-100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     日期         成交股數            成交金額    開盤價    最高價    最低價  \\\n",
       "16  2021-06-24 00:00:00  135489137.0   19902117472.0  136.5  152.0  136.0   \n",
       "28  2021-07-12 00:00:00   62036379.0   11478840019.0  195.0  197.5  174.5   \n",
       "42  2021-07-30 00:00:00  775707663.0  110746265916.0  145.0  150.5  131.0   \n",
       "\n",
       "      收盤價    漲跌價差      成交筆數  CDLENGULFING  \n",
       "16  152.0  +13.50   74539.0           100  \n",
       "28  183.0   -4.00   37539.0          -100  \n",
       "42  132.0  -12.50  342643.0          -100  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idx = df[df['CDLENGULFING']!= 0].index\n",
    "df[df['CDLENGULFING']!= 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.3: 在台股個股Ｋ線圖上，標示出吞噬Ｋ線型態\n",
    "- 股海小英雄youtube影片：[【股市分析】用K線預測大盤趨勢](https://youtu.be/FX6YAyOdEaE)"
   ]
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 畫大盤Ｋ線圖\n",
    "fig = go.Figure(data = [go.Candlestick(x = df['日期'],\n",
    "                open = df['開盤價'],\n",
    "                high = df['最高價'],\n",
    "                low = df['最低價'],\n",
    "                close = df['收盤價'],\n",
    "                increasing_line_color = 'red', \n",
    "                decreasing_line_color = 'green')])\n",
    "# 標示吞噬型態\n",
    "for i in range(len(idx)):\n",
    "    day = df.iloc[idx[i], 0]\n",
    "    direction = '多頭' if df.iloc[idx[i], -1] > 0 else '空頭'\n",
    "    high = float(df[df['日期'] == day]['最高價'])\n",
    "    fig.add_annotation(x = day, \n",
    "                       y = high + 1,\n",
    "                       opacity = 0.9,\n",
    "                       font_size = 15,\n",
    "                       text = direction + \"吞噬 \",\n",
    "                       showarrow = True,\n",
    "                       arrowhead = 1)\n",
    "    \n",
    "# 設圖標及圖長寬\n",
    "fig.update_layout(\n",
    "    title_text = \"2021/06 - 2021/08 長榮海運(2603) K線圖 - 多頭吞噬/空頭吞噬型態\",\n",
    "    width = 1000,\n",
    "    height = 600\n",
    ")\n",
    "# 設x軸標題\n",
    "fig.update_xaxes(title_text = \"日期\")\n",
    "\n",
    "# 設y軸標題\n",
    "fig.update_yaxes(title_text = \"股價\")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 2: 在陸股個股Ｋ線圖上，標示出 多頭吞噬/空頭吞噬 Ｋ線型態"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.1 下載陸股個股歷史走勢資料\n",
    "- 股海小英雄youtube影片：[【Python 股票】美股個股資料免費下載｜用Yahoo財經套件(yfinance)取得資料｜擺脫限制](https://youtu.be/ZIFmDbIb-ro)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  1 of 1 completed\n"
     ]
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
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       "    <tr>\n",
       "      <th>Date</th>\n",
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       "    <tr>\n",
       "      <th>2021-02-05</th>\n",
       "      <td>2325.000000</td>\n",
       "      <td>2364.600098</td>\n",
       "      <td>2291.0</td>\n",
       "      <td>2313.000000</td>\n",
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       "      <th>2021-02-08</th>\n",
       "      <td>2337.000000</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-09</th>\n",
       "      <td>2368.800049</td>\n",
       "      <td>2456.429932</td>\n",
       "      <td>2350.0</td>\n",
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       "      <th>2021-02-10</th>\n",
       "      <td>2485.000000</td>\n",
       "      <td>2601.199951</td>\n",
       "      <td>2485.0</td>\n",
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       "      <td>2576.735107</td>\n",
       "      <td>6137057</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-18</th>\n",
       "      <td>2587.979980</td>\n",
       "      <td>2627.879883</td>\n",
       "      <td>2465.0</td>\n",
       "      <td>2471.000000</td>\n",
       "      <td>2447.947754</td>\n",
       "      <td>6591232</td>\n",
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       "                   Open         High     Low        Close    Adj Close  \\\n",
       "Date                                                                     \n",
       "2021-02-05  2325.000000  2364.600098  2291.0  2313.000000  2291.421875   \n",
       "2021-02-08  2337.000000  2378.879883  2313.0  2368.800049  2346.701416   \n",
       "2021-02-09  2368.800049  2456.429932  2350.0  2456.429932  2433.513672   \n",
       "2021-02-10  2485.000000  2601.199951  2485.0  2601.000000  2576.735107   \n",
       "2021-02-18  2587.979980  2627.879883  2465.0  2471.000000  2447.947754   \n",
       "\n",
       "             Volume  \n",
       "Date                 \n",
       "2021-02-05  3972906  \n",
       "2021-02-08  3578573  \n",
       "2021-02-09  3329655  \n",
       "2021-02-10  6137057  \n",
       "2021-02-18  6591232  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 下載A股貴州茅台：600519.SS\n",
    "stock = yf.download(\"600519.SS\", \"2021-02-05\", \"2021-06-06\")\n",
    "stock.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.2: 用Ta-Lib套件，找出 多頭吞噬/空頭吞噬 K線型態\n",
    "### 計算 吞噬 型態"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>CDLENGULFING</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</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>2021-02-05</th>\n",
       "      <td>2325.000000</td>\n",
       "      <td>2364.600098</td>\n",
       "      <td>2291.0</td>\n",
       "      <td>2313.000000</td>\n",
       "      <td>2291.421875</td>\n",
       "      <td>3972906</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-08</th>\n",
       "      <td>2337.000000</td>\n",
       "      <td>2378.879883</td>\n",
       "      <td>2313.0</td>\n",
       "      <td>2368.800049</td>\n",
       "      <td>2346.701416</td>\n",
       "      <td>3578573</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-09</th>\n",
       "      <td>2368.800049</td>\n",
       "      <td>2456.429932</td>\n",
       "      <td>2350.0</td>\n",
       "      <td>2456.429932</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-10</th>\n",
       "      <td>2485.000000</td>\n",
       "      <td>2601.199951</td>\n",
       "      <td>2485.0</td>\n",
       "      <td>2601.000000</td>\n",
       "      <td>2576.735107</td>\n",
       "      <td>6137057</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-18</th>\n",
       "      <td>2587.979980</td>\n",
       "      <td>2627.879883</td>\n",
       "      <td>2465.0</td>\n",
       "      <td>2471.000000</td>\n",
       "      <td>2447.947754</td>\n",
       "      <td>6591232</td>\n",
       "      <td>0</td>\n",
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      ],
      "text/plain": [
       "                   Open         High     Low        Close    Adj Close  \\\n",
       "Date                                                                     \n",
       "2021-02-05  2325.000000  2364.600098  2291.0  2313.000000  2291.421875   \n",
       "2021-02-08  2337.000000  2378.879883  2313.0  2368.800049  2346.701416   \n",
       "2021-02-09  2368.800049  2456.429932  2350.0  2456.429932  2433.513672   \n",
       "2021-02-10  2485.000000  2601.199951  2485.0  2601.000000  2576.735107   \n",
       "2021-02-18  2587.979980  2627.879883  2465.0  2471.000000  2447.947754   \n",
       "\n",
       "             Volume  CDLENGULFING  \n",
       "Date                               \n",
       "2021-02-05  3972906             0  \n",
       "2021-02-08  3578573             0  \n",
       "2021-02-09  3329655             0  \n",
       "2021-02-10  6137057             0  \n",
       "2021-02-18  6591232             0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 使用ta-lib吞噬型態函式\n",
    "df = stock\n",
    "candle_names = ['CDLENGULFING']\n",
    "\n",
    "# 加各種K線型態的欄位 create columns for  pattern\n",
    "for candle in candle_names:\n",
    "    df[candle] = getattr(talib, candle)(df['Open'], df['High'], df['Low'], df['Close'])\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 找出 吞噬: 'CDLENGULFING' 型態\n",
    "- 'CDLENGULFING' 函式回傳值 **100**: 多頭吞噬，偏上漲型態\n",
    "- 'CDLENGULFING' 函式回傳值 **-100**: 空頭吞噬，偏下跌型態"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
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       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>CDLENGULFING</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>2307.989990</td>\n",
       "      <td>2310.0</td>\n",
       "      <td>2160.500000</td>\n",
       "      <td>2189.0</td>\n",
       "      <td>2168.578613</td>\n",
       "      <td>8211578</td>\n",
       "      <td>-100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-03-08</th>\n",
       "      <td>2074.959961</td>\n",
       "      <td>2085.0</td>\n",
       "      <td>1960.000000</td>\n",
       "      <td>1960.0</td>\n",
       "      <td>1941.714966</td>\n",
       "      <td>6309959</td>\n",
       "      <td>-100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-22</th>\n",
       "      <td>2089.899902</td>\n",
       "      <td>2099.0</td>\n",
       "      <td>2051.500000</td>\n",
       "      <td>2055.5</td>\n",
       "      <td>2036.324097</td>\n",
       "      <td>2685002</td>\n",
       "      <td>-100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-11</th>\n",
       "      <td>1876.000000</td>\n",
       "      <td>1966.0</td>\n",
       "      <td>1873.300049</td>\n",
       "      <td>1959.0</td>\n",
       "      <td>1940.724365</td>\n",
       "      <td>4249412</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Open    High          Low   Close    Adj Close   Volume  \\\n",
       "Date                                                                         \n",
       "2021-02-24  2307.989990  2310.0  2160.500000  2189.0  2168.578613  8211578   \n",
       "2021-03-08  2074.959961  2085.0  1960.000000  1960.0  1941.714966  6309959   \n",
       "2021-04-22  2089.899902  2099.0  2051.500000  2055.5  2036.324097  2685002   \n",
       "2021-05-11  1876.000000  1966.0  1873.300049  1959.0  1940.724365  4249412   \n",
       "\n",
       "            CDLENGULFING  \n",
       "Date                      \n",
       "2021-02-24          -100  \n",
       "2021-03-08          -100  \n",
       "2021-04-22          -100  \n",
       "2021-05-11           100  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "idx = df[df['CDLENGULFING']!= 0].index\n",
    "df[df['CDLENGULFING']!= 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.3: 在陸股個股Ｋ線圖上，標示出吞噬Ｋ線型態\n",
    "- 股海小英雄youtube影片：[【股市分析】用K線預測大盤趨勢](https://youtu.be/FX6YAyOdEaE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
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pcz9Voz4wjQEjOLBhlEfVhl1Vx+/DmUNcQ62tsngD1bDO1U4sOu2ZMmbw6CTi7RbeEGL7evF4KXTTfx2tFzqNVFLD2nRGrGCfA4ePeYyewFtjdGi/WvSGmh6ADY3yVj3GqI681ejDtaDhV7XC1Tei1mbVY9yg9lLnsUeu243kfqA1m3ZImXtvl7xujXWrjmjku4+WSK3rQWwRN2vTESt4646G8efzR7mmyox5c4HMX/qVuHfq0aF6sllv1dBe99Ek1/B0vAVt32eC6gygoe7dWdGFjU5vybtukXJl7nLtMmbaQiX60Hi3NvwuNcSKdz0hJvEZ8Z7yg85J6//V8XgT7OsarViMGdgu0XQifDbRIRo9oK3PKT4W6ztvLZpIVuJcz7UdojrDo/q9LM/UqpgkYn/iqHtP4mSWWNEZkaR7T0KIQoy6S190Ip9vP1Rd68IZg+W+e251XSumNlV7tpsaPTRnfC+tqX6+xAruc3DC/fvOhD4eb9UxouL4yTOyeOYQgXjD9lilskqsbPxkikseWZXC9JCOL9VLJFZ+WPmWkiZgHBMTK3lyeXboIWvwHYbvMox6+3rjD6kmVvD9CDlpjSzDFLMnH3tYjcqyRl7EXbkirw6fId/v3CufvjtSbnb7Tse1QhajI+2+YZoOpqFh5NfhoycxU0ten/K+1K5e3vX5xf2MEWBJbThu+Trt1SiyNk3rpvjVgc8QZCdGVkI0YoTDDz/tVax7tG0szTqNkDVLJ6oRNmBb/dEH5MWuo9TvfE0l9f4utMQK5HK1a88UTN/pNGCyQOI8UeUhmfnecsHv+nVq5qpv295vqL+/8lJ99TuMeom74jnlCc9lyAwITQiSf/49qUb8tX3haTUVFxtGzEFSJ7X98NNv6no+eHOg3F/q9hR54bur44v1pUn9GmJ9v+FeQD1Rn2VfbZKJQzup+xQji/buOyiffbVZPRvcp9LGxMbJA4+3Ud/3GDHaa/gMNaULccAGmZySWIE8y5ols2TJHKHkCUQqROljlcuqlyZgjulJ3EiABEiABEiABMwmcEOIFV8hQL6H/3UYrt7Yvf1GL1XEGiHyaofnpeXzT7p2wxDhOi/0UY27mWN6JBvRjv0mqhES3g08vBWNjr6splhgVExKYsXX6Anrd77qYb2B++nrOYmm2rhXGG+j8ZZMt8F+vW5fNDbvq9FKHe7nNe+qRIepeT14+3n23NU3oE+/2D/FESvoOFRr1F2KFsovC6ZfnbKCDZ0bdHJ2fTPHY148GstoNKOsNa0K8+G37/rdQ8wEwu/dxV/KhQv/DVPHMdBpqVi+tJT2Gv6NN7R4G2ttGB2D3A7oXFgjVj6cNVTl/4HowtvQuR+ulMHdW6j7GSOZvKcC4VgYJj/y2rD9qMsxKleAd3JFdCjxO4ymsnISuF8vZMDUdz5W8iE58QFBNH/JKvn8vdGJ8hhgGD7q/NbYnonyXaCz+1K30VKvdiV5vW+bZFHrxtHfe9IfsaJzT+KNdbknr07727l6tkceDbxRf3XYDOnRrrFgWp37Nnb6ItUZ9R6BlxQUb7GCUXr4XrqlaEFZMG2QR34aCGEIWdxHGdKnlwatBsrIvm2UfIRYwf3vnT/pu517xdeIFXexgils1kg8q569R7ylpm2khVjB/QuRBCFV+eHSMvWdT1TH38qBgf9HZxts3EcNujOFSIVQdd8wGmTlgnGCZ8HePw/Jww9cHeFjbd98u0NJSlwnNkj6uLg4jzJbt/+ixD84FyuctFAoW/qqaPUlVjCi4Z7bi0npe2+V4RPmqZcC32zcLo2fqa6k/8hJ78kzT1RMJCJ8fRdaYmVEn9bqsw6hAImwY/cfsmrBWMmSOZOqA0So+zMSzyWMXLTEiq8pPNaUM/yt1N0l1Egb9w3fs5a4QK6eX37fn+i2fnfxSjWVCjl+kkqii9Eed95aRO3rLVYg8zCysk2TOnL2/AU1ShX5oxZ88o3069JM/j16SmZ98Jl0e/k5NUUIZb7ZuEMg3sC20VNV1fShRcu+UeLohYaPqymAGO2SnFjBCwdMA/Le8ufLpab/WtON8ELCfWtUt4pgOio3EiABEiABEiABcwjcsGIF0zmGjHtXNTYxEgWb9UZ5zoTe6q2ltWEqQ6nqLVWnY8V7o5OMHjqSVZ/tqoYYr1owzmM+vrWTNSUhJbHiemPo1tm0pgigQWU1VK3jdh00VU318ZXTwb3CyN+B4c7WW+G0uhX/PvivPNWinxrFgTfc2NLqetBgT2nEypbte1TuAfcRIGjEP1irrZra9f6bAzxQYbrPyMnvqzeTtaqVk3+PnZKaz/dUsmLSsE7y96F/5czZSEEDGUPCdTa8nXSfguO+D4QNOmwFkkhUPG5wB/XmGaMJPl+9RVYvGqckD+bro1Fe/dH7ZVD3FkpSQFZgs0Zg+RIrePtt5ZqIio5RQ9TdRyBhf7xhhnRC5887VxFGVQ2bMFfVoUalslLl4ftUp/XchUvqv/h39vxF9YYbo6vwmcE0lg9nDvUYKVG7aS81RQD5Fbxz86DTi4SqkFsF8uaSf5AoODxc7ihR2CMPiT9x9PeetMQKOn5lSt6u8jBYiYKTi3lS9yQSVz7WuIeSFe6CD8eyvju8c5/gb5YoxugATD9KaXMXK5agwmdzyVtDXYkzcQx89z3WuKeaSoJOL6bA4fOA/DU/7/1LiRXcRxgZ4b5hCkrvV5okOWIF+UcwjQJTLJCTCZ8hq/MIqYL8H6k9YsWbkSUicf67by+mngcYlaZim0ROKogV3LftXrg6JRBTVCAJLbGCvCwDuzX3OBU6y/fcUcwlVvzNF+J+MEwxweYtVjB1BKM9PvlyY7K3QsWHSqkpN+6br+9CPNsweujeO26RoydOy6S3l8rvfx2SOeN7u8Qu6oDv+Q+mDXSN6kBeEYzysb4Dca2Th3eW8tdk07AJ81TeEuQgwd+s71OrPpbQsfLRWFPSUrq/ff3d/YWEt1hBjDFdFXIluQ1TITHSE9fZY9h0iYqKVlOqcO9ilBLyQOE7EaNe776tqFR4qFSyYgXnxNReJK1FomZsG7buUtPsMG0SUg/fxTfl90xQXyBvbu1pf4Gw4j4kQAIkQAIkQAL+E7ghxQoaiS91G6U6fdNHdXNNl8GbJzTy8Wa25J23eNBEQwydAO9kj74apMl14nXESlKjJ75cs00NS0dD2Hto8KCx78jHX2xIlMPCvX7ooKKjiobfhk+mJOoo+3/76O9hiaJW/3tSerZ/Xu2YVtejI1asEShbPpvm6pSjM4kOKEaFWAk7rSu2hngP7NZCDSe33uqjc4r7xD1RMjqkE4d1SjSNwJseOscY2YT4ew+X90UauQkyZrjaGMcbd7w1xv6PP99TTV1Kly5c5SpAox0d3W+XTZWPv9ioclegI7th60/y2bxR0qTjcI/ktd7nQsMfHQCIGawMpGTK5PcEb97REfK1cgr+1mXgVYGGYf54W5w3d3aVowZ5HvBf5B7B/yOnBqQJOmbu0gA5J2o06q5yyEB4eW/IW4EcBvi8uScKRjnIBUgGbP7E0d970hIr7nWDgG31vzpJ5r5B2aTuSYiMh69NJ3TP6aSu4xoPXyPWsF+Vhl1VPgbkWklps8QKkgG/0HmkKr5w+mCfnTUk54Ww2rn7D8FIlE/fHaE6ylaOFXwGMl9bdco6L2Lpa8QKpiAiR4+1Wbl6ICfc5QxGwFQsVzpVpwKhDpBu6CTv/+eo7D94VJat+lZ1lLFhCg6mzBw8clzlN/IWeygDsYLPt5U3CqsjTZ/3qUusYPSirw2JVK0RK+5TiSAYW3YfrT4bs8a9qj7T2CBrIDM+fGuISohqbdZIIV9i5cnq5ZX8ir4cqz5jSz5fp3Z77qlqKv8Lpp4Uu7lAolFDvr4LcX+t3vCDErOQa+Xvv1v6d33BQxpbI8/AA+ezNvccLrjv3UdVod64BkusJHXfWmIFz26scmRtyMGDBN0YAWStVpUQnyDI84XRe+9N6S9ZryXmxfQuayUlX2IlPiFBDh4+pr5TUaex0xdKjYpl1ZQtjFCBAII8tUa9oA7WSC9Mb4Vc8XcqEMTXwDFz1OXgMwBpCamIdgjECuqJqVcYWYtRhMjlhu/ferUqJjs1KqXPP/9OAiRAAiRAAiRw/QnckGIFb+LR0Udj5a2xr7qGDluJa5fNHamSxblvWFoWiWx3rXnH51K7WBYVSzV6J5H1DpmOWPH1xhDHsZJqYuUNDOd23zB6AqMokDTXGh7u/ncs/dux/ySVABOJWfHmLaUNU6NOnD7rUezB0ne6klemtL/1dyu/CqTDsndGuHKPpNX1pCRWMMf9kac6qhwfyPVhbb//9Y+a9oDcCOOHdPS4XKtB3bXNsyoXgNUhh0RoUv8xufeamENHDZ0rvMFcOH2Qz6VovTmiA/X2B59r4V29eHwiYdN35Cw1egPD09Fx2fHV22olKszVRwcZYmXupD7yZLM+atg+PgvuqwJ5nxjD/rFMKJagxbSJI9eW+faVqNbaFx0x5EvQWeLa2seapoY8HuicWW+nsYwrRnh5b5CE6ASjTuhEIhkzpvJgaD06H28M7qByK/kTR3/vSXxGIKiwPCrYopNuTQ1xlzvedU/unrRG4mCUBDrsuXNlV7k60Albt3mnyrUz+bXOiXhgKtrePw8mK3+tnSBWIJzwmcR3Fjp0SEzrSx5gH3y/PdWir7RuUlc2ff+zupcweqrv67P++7zsO6QkWuFCV1fO6dKqoWulMit5Le7X3/48qKaMJLfh8wOOOjlW8H0JyeO+Yeqb9ygqX+dDctLGba+uGoaOMZKoIrdRlQplBJIEsgAjxeZM6OPKaeV+HIgVbEiMjg25PrZu3+MSK7j/3ZN1o8zAMbNVEmpLrFjHw8gt5Mq6ciVe3ps6wLWSF/6OzxOkOsTW0llDXaN7rH19iRXcfxjFiMTReCGAVeLir8Sr7zhMUyp1V4lE00mS+i7E+Zt3fl1yZM8ibZs97TOPCepvjbBwZ/R8vRquVYdw30N4QoZiW/TpGiUqLLGCZxNklrVhqg3i476CkvW3nbv/VLlj8P08dmA7j+8ajIjDanDFihSUaSO7Jlqa2pdYQY4UTA07dfa8moaDMt3aNJL6T1ZS01iRd8h9mXhrmWRIKnxnYfMWK8h/BNmNz7L1jHBfFQjJziHU35nYR8n5Nd/+qIQQJKolVnDc4oVvUvlX8PmCdMOLlVuL6yWqTvaDxj+SAAmQAAmQAAlcNwI3nFj5cPlawfBjNJaRS8A9wai1usbSt4e5lqK0SFsdEWvotXsE8DYLnRpMf8Bbs+bJJJrTESu+3hjifBhm3mfEW2oFlaYNanrcBFg9CJ08X3VHAxDHxBQgrGI0fnAHrQ6vlUTToyPR4hnB6hi6G95uYqoJNu+8M2l1PSmJFeutoXd+Cmv0h6+OLEZwQGBYscCUFHSIMToEQsPaMPoEU4zQIdJNrIjpPMiFMPFaAkRfrPGGvfuQabJywdhEby6tziJWdvl5799q6tXM+cvlg0++VnP/8TYUb1iRkBQjHH7bd8hDrEAwfuu1TDfq4D4KBz+jke++YdqENc0Lv8d9By66G97Uoj7WaheoQ7ve48VX0lscE3lTsHmPIrOm81j5k/yJY6D3pPs1WiM5wGfbihk+k8kmd09iFEW3wW8myt2B4yEGLZ6rJX1eaZIIq/W94Z2bxRd/d7GC0QWQxrhvcf96bxhRgVWKMCrljcEd5dXh0wXL+XpPccExX2pcS9UPsf96w3apWeVBJaItsYIcK1NmfySr1v8gpe9OvFwsRiNARGLVMqxeoyNWIPwwjc598zWVKqn7EKMUkEQXHVeMCsAoD8hNfHdZ9znEmbVBQvbvcnUVKwjtH3b95nHoQgXyqKWQIS/QsfZOII5RY0/WKO8SK5AWK77ZqnJ1IL74HsIUIu8Nf8NIS3zO+ndpJrWrlXfdW0mJFUxnwpLAmLrlLlYgDaxcNu7nSeq7EGUgWP+51unX/UzfX/J2j5FISDbxVSeOAAAgAElEQVTtPRqvVtVyarUlfCbwXXvHtTwoOAdGnyC/lLtYwTLfcxZ9oZKT4zk+ZUTXRDl+sO8ff/8jmCKLewHf0+7LEyclVpBLCHINq/xYYgUjVpBjzXt6ryXAp4/u7lry3lusILYYkYLRg2s371TY1n802fUyB89YCClIYSSshoBHPiuwtsSKlWTXYo57DktpM6Gt7l3IciRAAiRAAiSQNgRuKLFivY1GY+zdiX09Vu0B7qlzPlaNOF+jPtCJQ9I6zJ1339AoernXG6pRhCUW8SY3uS0lsZLUG0Mcc/P3u9W5rFES7uexRtt4r/KAkSqDxs5RiVYxpQVTN7wTTSZVXzRM0Yh135CQzzuRXlL7o4OJ6RpWZ8F9Weu0vJ6UxIqv1ZdQP0xTeKh2OzUi4p0JvT0u07qX3hjSQZ6s/rDqBOPttfeSrNjJymviPjUiuXsEYgU5KDCKIKntYlS0uud8iRXsA/Hz8YoNkjlzhOrkYRoY3oTijTpGrECsIL8JpuIgT4b7iBW8OUUeBfftwKFjKhGttUwrpn/kyplVFcEUCox68RZQuPfK1GztmgqU3DVj9IQ3O4upNfLEe39rRSBvkWAlSoaIgHTxJ46BfMZ8XZeVyPibDyd45CyxyqZ0T6IcRuz8dfBftQsSeh48fFyNWkCnvllDT7GKMtaSu/6IFUzrgVhp1HaoGrniKzHuK/0nqZEyltixlqPFCC9MD8L2v/qPKRmBvB4YyTRgzBw1Og5LJWN0grdYiY27IjUqPiALl61x4UOHcuirLdXKav6IFeSlgcBw3zCFRmfpaYjPrzb8ILv27JOtP/6qPlPYcC9XeKika3Ug/A75QsDB/XseElOtJvdIGbUfRGKRm/OrpdIhVpD43Hv1H4xcsJLXYmQZRpRgWqrFN7nPCf5mlcP3A/IbFS9yk88cKxixgu8kjH7AKJdB495VI1YQ4+qNuvl8XiX1XWjVycrRlVIdrb8jjqiftWGKIBKEQyBgwzQz5DlDGXwmMMWomFt5iAm8MLDECu6jvq+/rUZb6fKyRmVhSmGfV5qq/XyJFUxpvP/xNuqzhc+YJVYg3PB8RZ4t9+9kvEjBZ9R9NTLcI7/+fkCN1mvX4hklFTFCFvcIRoNhuXjrfoDEw7Q/tBkeKHW7kisnTp2TaXM/UaPfMAoG33G4h/D5woZl5PHswbRMJAXmRgIkQAIkQAIkYA6BG0asWLkQ0Nie/UZvlbHfe8ObfLw1tPJmWH+33nh7d7AxPL91jzFqOkJSnR3vc6QkVpJ7YwjRUb/lQJUfw1rO0Tq+9Qb6x9Wz1RsvbJAivUbMVKslYLj06P5tEw2JTq1b0ZrOhON7N0itc6bV9STXibVWfMIbU18jcaxREVs/n+Gx2oQ1uglvgrEE8l8HjqjVh9yXvLau08rdk9SSwt4xgFjBfdChRdLTtY6eOKPkS1JixcrVgUa7u+yD5LHEinVeX8lr3euEexZLuCIJZdfWzyq5Zwk8dERbvzpOjfCaOqKLh7SzxIqv5Lbe14xOTLMGNdWba2uzRjvhzTpyUnhvVifPu/NmJYB1X9pbN47+3pNJfX6sZc3XfzxZdZi8Nx2x4r2PtQJNUjG3VhDxNarO+1jeqwJZ30soN3HYK/JE1XKuXTAaBCualby7hNx7R3ElqiAQKpW/T/49fkp16iG/xs1YrDq82NABHdX/ZddoKl9iBffMxu92SZ+OTdTUINyHW1fM8Fus2P0OQz4OfH5xPWVL3aHyWGA0iHsSYivBL757MWrHWnlm4SffyLwlK5Vwt/LcII8UVpWDWEkpeS2SXiOnChL94vOCUWgYdZg96385SqzrQwJpjHBAfCDHh02Yr1YrwjPN14iV556qqhKGQyRgOtLefYeUWMFoB6wghW3xW0NdK3Gl9F2I8pCWav1otw0r8kCQYOU07817KiBGkCAJNqb+WOezlg/XSV6LqUYffLxaBnZtLkhAv+n73fLWmJ4+bwEkI8Zoka8Xj1f5YVTekndGqOejL7EC0YxcZdgWzRisps7iJcanX34rBw4fUwLyo9nDXdM5ES9MOfLeUMcRk99T8hqraLlv4enCVX4pbJEXo6RNz7EyY1R3NXIWLyKwLDeWXr7rtqJqeln6dOnUyC2MYsMWGxunpk5hNSedJNl2PxvcnwRIgARIgARIQJ9AyIsVvJEcNXWBLPz0G9XYf/P1rq6GjTcmq0OGcvMm93VNl7FGHLi/JbI6m3jLq9thxvlSEivJvTFEw/3JZr3V6IPP5492ySFr6oG7cEEjEYlLMfoA04b6dmqiNf1H/9ZJuqSV2BWNxVljeyaaVmXtmVbXk1wn1loJytdSv6inJUWQiwRJQ7GhMV23RT+VpNZarQYN3lpNe6uO5ZcfjHFNZ8H9V+HpV9Sonc/mva41L94SKy8+VytJyHhDj7wnSXWyrRVOLPFjHcgfsYLG/Kcrv1WrVuAzgQ4dRr0g1wLEyqVL0aozjETPM0b3SNTQtytWrJWWkLPGe9oJrsdaHh1v/4f2fMnFyhpNVLfmIypXgj9x9OeeRGyRPBdJVt2XeLU+4+4rYHkH0l+xgg48OmvJLS0NWYLpOsmtXGbVw1us4PfWCCH8v/sy4pgq9tW67+W+krfJt9t+Vm/e8RmAMLNWNdnw8RSp07yvkm/4zvFOAO5LrNSqXk51Wq0NsqB7u8ZpLlbcY4NRCM+81F+NWJkwtKOatgL2WKIeU0qQZ8O9Q4sRJ7Wa9FIddggHiA8ruS/ECqY1eU+ZU1N63JLX4p4LCwtTnX9MAcP0MYyS8N6sEQ5ITI2RD7j/LHEBsYJVepC/BCMkMP0I30XHTpyRXh3/p0alWUllcc9iVbgD/xyVLT/sUSM0cZyUvguT+jKCeMN0LB2hZ90vSBL+4fJ1MvHtJbLl8+lqZIe1OpIvXr5yrEBC4Nln5Tfxrp91P1ty050XxAq+zzFdENNrIQZfn/qBSp6N80Nsoz2AkUfIU4Pnw6Axc5RE7972OXWqr9Z/r0SYP5u1FLe1D54bEHuNn64ml6Iuy9wPV6rrwXcuRlJ99PZw13Me3ysvdh2l8u9AvHAjARIgARIgARIwi0DIixVrtRZgR6cEy6F6b00bPObq8CLvBEZ4YIlYLFGL0SgY7YLG1leL3nBJGWtFEjSU8KbTe7u5YD7Bm0trQ6P55KlzcuTYSZUPAEOerbfCDepUVm/BdN4YYrQBGpQYSt34qWoSExsrsxd+oYbxuy8TjeSnGJqPDUOG0XD33pCnwVol4XrdltY0DBwPjVbkYvDeMIcdiQKxpdb1oMH9y2/71TnQIUUnt2OLeurnSg+XVm/SUddqz3ZTQ9O9l7a16mwlUEX8kaQWby0hG3B8LHmNpa+tDQ1wvJHFSAmMNkEHatGyb9Q95GuJ3KSYW1OBIMqS2rBUMXInJCVWcB/jLTxW/XHv9OuIFYx0+vjLDTJj/nJ1X2EuP6YP4F7Z8fPvLrGSL3cOWbRsrUoS6t0ZQr3tihUcAwIAeTfWLZ2YSAyio4QpLBg1g2H+mM60bstOlUsIm7vg8ieOuvckOD1Yu60aMYCVO3BPoaM9e8EKdX7vKUw696QVb3SskEAbU77QEUas8ZmfObq7z6l4lsx54dnHpV/nZil+nH2JFexk5QpCPD+e85oUKZRfTWVDzp+W/3tSdaDRKYcAxht5jJJBJx7TTnDMls/XVrkt8JZ93uR+LqnqLVY++mKDlChWKFE9MYUCKzz5MxUoxYv1s4A12g5y5bd9B9XnF6PZWjep4/P7smW30dKs4eNq9aB3F38pH7yJxLM51HS6Xej4L1+r9odAwWcbxyl9960eU2RQRX/FivtlWdPArGkvyJeDKUfTRnWTcmXuVh11xAUjg7C6DWQKvp8w+gwddeQASem7MCmM/ogVCP9n2wxRLy6QKwSjN1o1qaOWSN+550811QryFs8sjBTF6JTuLz8nd99R3COZL+rir1hxrz/ECr7bLF54ViNOGN2SEasUjXtH1QX3KMQxRthgupYSzb2vrlCGzz+e594bhAimFSNHincyaPxs5ZDCfms27VAvQD6fP0q27vhVrSiFPFU4duP2QyVblswyd3I/Wblmm2D63Ecr1qsRVR++NVQrEbqftz6LkwAJkAAJkAAJ2CAQ8mLFWjkgOUbuSUvRoBkwZrbqGFgblk+d8loXjzn7llhJ6rjeyROtqQG+ymMZ3Nw5s2u/MfRe4hWdILw9xltMa0PnDsOzk9vcVyewcQ957IrlMEvXSJwA072Q97Sb1LgeJDbEG1hf29SRXdQymtZqRWgoY55/UhvybuCtonvyVizF2rVNIw9pgf2RHPmNmYs9yuJ6IWV0c9tAAiDpLDqz6FRjmln2a2+wMfwdnSNIBKycgile3lLDyhOCJYohHNw3HbGCjiKS7UL+dWv7nHpTb21WB9k7l48vdpZYQQf1vntuTfYWQ4fTV34aawlXd2nofiBMx0MyauTzsDYIiBG9W3kkq8Tf/Imjzj2J6+s5bLp6o+2+obPWv3MztSKR+6ZzT1rlrbf3+BnHw6pHPdo2TnL4vyXj3hrb0+fy197wkxIrKGcdC997mJaCTjs6wBDTGPmA7w3kgUA+iZiYWFcScEus4J5r22u8GkFhyRXrvkFnE2/mIy9eSvZ+KHRTXjUi6Yef9qo8Lam1Qa4ibwVWdjl+8owSpjt+xuosO9QpMaoBq1JZOUHc64GRg1gBCDIN/5CcFJ11bLhfMeUE07eQ+BYjXSAvMOLgwsVomTO+VyKxZIkVfO58rc6E+w2fS2vEintd3KcCIR8IlsNWyaBzZXcVmzz7I0kXHiavvNRAwsKvinbE785bi6rVpLAiUVLfhZCYv/5x0GcYlq3apFakS2rkCO5fjGSC6IU8gTD558gJNdrJ2ravmiWffPmtjJg0/+oqP4PaKzHeuudYub/UHTJhSMdEo3ggViBBIfB9bSfPnFfS1dd0PPepQJgmiFGn8VcSJL/bFGE845HbpMajD3jwKlv6DpGwMImN+W/ZZ/fzf7Fmq5pStPXz6YmmAqEc7gPrhQa+a8PCw1UOr4WfrpGJsz50JePGCmNgC4GP3EpYjhxJdZFIF7K7T6emqfWx4HFJgARIgARIgAQCIBDyYiUAJmoXCBbMq8Z8cF85EgI9blL7WaMnsKwicpKktKGhixEuaIDjTbmvESkpHcOkvztxPVglY9nKb1UDGEtYJrfhbTM6BMhzcEuRgsmO9MG1HDxyQg3VR2x0hQo6dUju+PMv+1QHCh2SBk9WVskUb8qXW1UPS8Cu3rjdo+NX7v67VRmMekLHrnaz3uotK4Shd44DHbECsXPu/EV5tFwpdU4cE6NXMkVkUG9tUU8dKeeevDZ/3sQ5jdx5Y1UaX2IFU56w1Dk6f5jW5D76xn1/rMyFqUN5c+f0mT/JKutvHHU+Y1g158TJs3Iu8oL6rsAyxHY/j7jXzpw9Lxj5Buma3IYpH5Aa6JBj2Va75/Y+F46NPD0Ywfdcu6FqegKuFaNVMDoD02cwLQJTAK1pkVb+COSCwL1piRV/v3OQ+Da1xMr6LTulY79JHlWCpIRIrFW9vOpQu68a5113LJP7vw7DlXAvUbSQEiV33V5U7ixRVP7cf1glPK1YvrRaqt0So5hChXNCOr0/dYCHsLHECkYd+frOiIqOUQLDl1iBQMB9WPqawHQfOZgSc0yzwSiL5L4LMdKkUr3ES3yndGz83VrFCsupY0QGOFm87r6jmJJAGJmCv0NA43vA+pxbOZzwuQIvd4kMsfLl2u+kQe1KPqux78ARNerEl1iBZEWuGXw/Y7NG4ulcD6Z/YuUorFgWyGa9dLHyOWHpdMhn5GbBPYPV3PAdYm0Q6RB9yCvTpMFjSsC8/9FX6nPIPCuBRID7kAAJkAAJkEDqEKBYSR2ufh9Vd/SE3wfmDj4JoOOH1Ud8JZt1ChlWGHlvyVdy7123qM4dpgskJRIgLVAeHda/Dx2VkX1aqw41Rgy9s+gLqVeroviSGUg8irfzlqjBtWJ6Bzo37qtbuDNAh633azMlPiFBvYXHKkhYRjelDZ07LD+KHCjeK0J574ulqh9+4J5EozxQzkoq7b2UdUrnvxH+DlHUfeg0Wb3+BzWdwNf0Grsc0OGH2HJf3QXHxAgudHSRywKjD4oWKqCmC1n5QSCnIyIyqPsSHeTR0xbK+CEdtKcwrN30o+z+bb+aZpQaG/JbYHltiCuMqMDIEqySpbuBPTZfIgvTWZZ8vl66tm6YSG7iMwiJgAS37h1jMMI+r3Z43qdYQX0xGq5erUpqpaWUNshGnQ1LGleq3znZ70J8lpGvJZAtW5ZMiiuOgVwqvjZMiTkfeUlNK/TesBz2xm0/J1oJ68u12+TI0VNqapWvDd+LCz7+Wrq0edYltpKqPyQ4ngk6G6ZSoa6//311BSl/N6xYBfGNeC5dsUGQZBgvSPB5gWDCKDz3DfcXRifWfewRdb/gOx7TI3WFvb/1Y3kSIAESIAESIIHACFCsBMbtuu+FDvKO3X+olVFSGj1x3U9+Ax4QQ9E//2aLeivta5j/DYjE2EtGhwxTULBK0LsT+0j5B+4xtq5pXTEr4Shy/WDKADcS8JcAvwv9JcbyJEACJEACJEACJJCYAMUK7woSIAHjCeCt9Q8//Sa5cmZT+XG4iVqC9YtvribqrYO32REZiYUESIAESIAESIAESIAESMABAhQrDkDnKUmABEiABEiABEiABEiABEiABEiABEKDAMVKaMSRV0ECJEACJEACJEACJEACJEACJEACJOAAAYoVB6DzlCRAAiRAAiRAAiRAAiRAAiRAAiRAAqFBgGIlNOLIqyABEiABEiABEiABEiABEiABEiABEnCAAMWKA9B5ShIgARIgARIgARIgARIgARIgARIggdAgQLESGnHkVZAACZAACZAACZAACZAACZAACZAACThAgGLFAeg8JQmQAAmQAAmQAAmQAAmQAAmQAAmQQGgQoFgJjTjyKkiABEiABEiABEiABEiABEiABEiABBwgQLHiAHSekgRIgARIgARIgARIgARIgARIgARIIDQIUKyERhx5FSRAAiRAAiRAAiRAAiRAAiRAAiRAAg4QoFhxADpPSQIkQAIkQAIkQAIkQAIkQAIkQAIkEBoEKFZCI468ChIgARIgARIgARIgARIgARIgARIgAQcIUKw4AJ2nJAESIAESIAESIAESIAESIAESIAESCA0CFCuhEUdeBQmQAAmQAAmQAAmQAAmQAAmQAAmQgAMEKFYcgM5TkgAJkAAJkAAJkAAJkAAJkAAJkAAJhAYBipXQiCOvggRIgARIgARIgARIgARIgARIgARIwAECFCsOQOcpSYAESIAESIAESIAESIAESIAESIAEQoMAxUpoxJFXQQIkQAIkQAIkQAIkQAIkQAIkQAIk4AABihUHoPOUJEACJEACJEACJEACJEACJEACJEACoUGAYiU04sirIAESIAESIAESIAESIAESIAESIAEScIAAxYoD0HlKEiABEiABEiABEiABEiABEiABEiCB0CBAsRIaceRVkAAJkAAJkAAJkAAJkAAJkAAJkAAJOECAYsUB6DwlCZAACZAACZAACZAACZAACZAACZBAaBCgWAmNOPIqSIAESIAESIAESIAESIAESIAESIAEHCBAseIAdJ6SBEiABEiABEiABEiABEiABEiABEggNAhQrIRGHHkVJEACJEACJEACJEACJEACJEACJEACDhCgWHEAOk9JAiRAAiRAAiRAAiRAAiRAAiRAAiQQGgQoVkIjjrwKEiABEiABEiABEiABEiABEiABEiABBwhQrDgAnackARIgARIgARIgARIgARIgARIgARIIDQIUK6ERR14FCZAACZAACZAACZAACZAACZAACZCAAwQoVhyAzlOSAAmQAAmQAAmQAAmQAAmQAAmQAAmEBgGKldCII6+CBEiABEiABEiABEiABEiABEiABEjAAQIUKw5A5ylJgARIgARIgARIgARIgARIgARIgARCgwDFSmjEkVdBAiRAAiRAAiRAAiRAAiRAAiRAAiTgAAGKFQeg85QkQAIkQAIkQAIkQAIkQAIkQAIkQAKhQYBiJTTiyKsgARIgARIgARIgARIgARIgARIgARJwgADFigPQeUoSIAESIAESIAESIAESIAESIAESIIHQIECxEhpx5FWQAAmQAAmQAAmQAAmQAAmQAAmQAAk4QIBixQHoPCUJkAAJkAAJkAAJkAAJkAAJkAAJkEBoEKBYCY048ipIgARIgARIgARIgARIgARIgARIgAQcIECx4gB0npIESIAESIAESIAESIAESIAESIAESCA0CFCshEYceRUkQAIkQAIkQAIkQAIkQAIkQAIkQAIOEKBYcQA6T0kCJEACJEACJEACJEACJEACJEACJBAaBChWQiOOvAoSIAESIAESIAESIAESIAESIAESIAEHCFCsOACdpyQBEiABEiABEiABEiABEiABEiABEggNAhQroRFHXgUJkAAJkAAJkAAJkAAJkAAJkAAJkIADBChWbEI/cirK5hFujN0zZUwnWSLSyenImBvjgkPoKrNlTi/hYWFy/lJsCF3VjXEpubJllJjYK3Lp8pUb44JD6Crz54yQsxdjJTYuPoSu6sa4lEJ5MsvRM1GSkHBjXG+oXGW68DDJlzNCjp2JDpVLumGug23M4A0125hmxe7mvJnNqlCQ1YZixWbAKFb0APKhp8fJxFJ86JkYFb06UazocTKxFMWKiVHRqxPFih4n00pRrJgWEf36sI2pz8q0kmxjmhURihV78aBYscdPKFb0APKhp8fJxFJ86JkYFb06UazocTKxFMWKiVHRqxPFih4n00pRrJgWEf36sI2pz8q0kmxjmhURihV78aBYscePYkWTHx96mqAMLMaHnoFB0awSxYomKAOLUawYGBTNKlGsaIIyrBjFimEB8aM6bGP6AcuwomxjmhUQihV78aBYscePYkWTHx96mqAMLMaHnoFB0awSxYomKAOLUawYGBTNKlGsaIIyrBjFimEB8aM6bGP6AcuwomxjmhUQihV78aBYscePYkWTHx96mqAMLMaHnoFB0awSxYomKAOLUawYGBTNKlGsaIIyrBjFimEB8aM6bGP6AcuwomxjmhUQihV78aBYscePYkWTHx96mqAMLMaHnoFB0awSxYomKAOLUawYGBTNKlGsaIIyrBjFimEB8aM6bGP6AcuwomxjmhUQihV78aBYscePYkWTHx96mqAMLMaHnoFB0awSxYomKAOLUawYGBTNKlGsaIIyrBjFimEB8aM6bGP6AcuwomxjmhUQihV78aBYscePYkWTHx96mqAMLMaHnoFB0awSxYomKAOLUawYGBTNKlGsaIIyrBjFimEB8aM6bGP6AcuwomxjmhUQihV78aBYscePYkWTHx96mqAMLMaHnoFB0awSxYomKAOLUawYGBTNKlGsaIIyrBjFimEB8aM6bGP6AcuwomxjmhUQihV78aBYscePYkWTHx96mqAMLMaHnoFB0awSxYomKAOLUawYGBTNKlGsaIIyrBjFimEB8aM6bGP6AcuwomxjmhUQihV78aBYscePYkWTHx96mqAMLMaHnoFB0awSxYomKAOLUawYGBTNKlGsaIIyrBjFimEB8aM6bGP6AcuwomxjmhUQihV78aBYscePYkWTHx96mqAMLMaHnoFB0awSxYomKAOLUawYGBTNKlGsaIIyrBjFimEB8aM6bGP6AcuwomxjmhUQihV78aBYscePYkWTHx96mqAMLMaHnoFB0awSxYomKAOLUawYGBTNKlGsaIIyrBjFimEB8aM6bGP6AcuwomxjmhUQihV78aBYscePYkWTHx96mqAMLMaHnoFB0awSxYomKAOLUawYGBTNKlGsaIIyrBjFimEB8aM6bGP6AcuwomxjmhUQihV78aBYscePYkWTn9MPvfHfjZQwCZMe5ftr1pjFLAJ86AXvvUCxEryxo1gJ3thRrARn7ChWgjNuqLXTbczgJed8zdnGdD4G7jWgWLEXD4oVe/woVjT5Of3QK/xmFlXTw50uadaYxShWgv8eoFgJ3hhSrARv7ChWgjN2FCvBGTeKleCNG2pOsWJW/ChW7MWDYsUeP4oVTX4UK5qgDCzGh56BQdGsEsWKJigDi1GsGBgUzSpRrGiCMqwYxYphAfGjOk63Mf2oKot6EWAb06xbgmLFXjwoVuzxo1jR5Of0Q48jVjQD5aMYH3qBs3N6T4oVpyMQ+PkpVgJn5/SeFCtORyCw81OsBMbNhL2cbmOawCBY68A2plmRo1ixFw+KFXv8KFY0+Tn90KNY0QwUxUrgoAzck2LFwKBoVoliRROUgcUoVgwMikaVKFY0IBlaxOk2pqFYgqJaFCtmhYlixV48QkasxMcnyOmz5yVjhvSSI3vWJKlcuBgl+FcgX24JDw9zlcP+J06dkXx5ckq6dOkS7R95MUri4uIkd87sHn87cirKXgRukL2dfuhRrAR+o/GhFzg7p/ekWHE6AoGfn2IlcHZO70mx4nQEAjs/xUpg3EzYy+k2pgkMgrUObGOaFTmKFXvxCAmxsmX7Huk6aKpcvBStaJS//255tcPzUvKuEi4667f+JGOnLZT9h46q333yzgi589Yi6v/xt17DZ7j2H9LjRWn8THX1t0tR0dJn5CxZ8+0O9XOZe2+TKSO6KAGDjWJF7wZ0+qFHsaIXJ1+l+NALnJ3Te1KsOB2BwM9PsRI4O6f3pFhxOgKBnZ9iJTBuJuzldBvTBAbBWge2Mc2KHMWKvXiEhFjZtuNXOX7qjFR9pIxEXY6R4RPmSUJCgkwf1f2qONmyUzr2myQvN3tK6tWuJLlzZpNMGTNKpkwZJTo6Rqo07CKdWjaQZg1rytrNO5WkWbVwnBQplF/mLFghSz5fJ/OnDJDMmSOkQwDef+cAACAASURBVJ8JcmvxQjK8VyuKFT/uPacfehQrfgTLqygfeoGzc3pPihWnIxD4+SlWAmfn9J4UK05HILDzU6wExs2EvZxuY5rAIFjrwDamWZGjWLEXj5AQK94IPlu9WfqOnCW7vpkj4eHh0rDNYLn7tqIyqn/bRLQwWqVj34ny4+rZahoRtrrN+0rTBjWVaHmu7RCpVa28tGlaV/1t1brvpcfQabJ77bsSFhbGESua95/TDz2KFc1A+SjGh17g7Jzek2LF6QgEfn6KlcDZOb0nxYrTEQjs/BQrgXEzYS+n25gmMAjWOrCNaVbkKFbsxSMkxUq/12fJn/sPy5JZw+T02UipXL+z1KhUVmJj49TUnkfK3iutmtSRTBEZZcln62TuhytlxXujXSQ7D5wiJYoWlB7tGkv5Ou1lRJ/W8kTVcurvv/x+QMmWLZ9NU7lcTJ8KFLFpg2Tc/G2iuyTm0UpyuWIVe3ePH3s7/dCjWPEjWF5F+dALnJ3Te1KsOB2BwM9PsRI4O6f3pFhxOgKBnZ9iJTBuJuzldBvTBAbBWge2Mc2KHMWKvXiEnFixRqvMHt9LKjxYUn7944A0enmIPPd0NalYrpSci7yocq3UeewRGdrzJTXVZ+W675SEsTbkW8maNbMg10qp6i1l+ujuapoRtn37j8gzL/WXrxePl0I35ZXomCv2IpDKe6d/bbikHzE80VniBg6WuEGDU/ns/x0eDRb8i4mLT7Nzup8o86iro5Gi+sU5cv5gPmn6dOGq+nFXnIldMLNzuu4Z0ocLEnNfiU9wuio8v58EIjKES+yVBBU/bsFFAJ28y7FXJIGhC6rAYRRyxvThKnbcgouA023M4KJlVm3ZxjQrHnh+cQucQEiJlc3f75aXe72hhIiVfNYSKxs/nSp5cl1d0efjLzbI6DcXyLYVM2Tp5+tTHLEysm8bebzKQ2pf7xErpyNjAqefBntmHvWaZB41ItGZovoNlKh+g9KgBldPgQ4eOgoXopwRG3knRKh6nOpxOc2uOVROlCljuISHhcmly2xsBltMs2ZKr4TY5VhKsWCLXY4sGeRidBylWLAFTkRyZ8soZy6Y3TYIQqypXmUsFJkjawY5eyE21c/FE1xfAk63Ma/v1dxYR2Mb06x458me0awKBVltQkasWLlPIEHq167kCsP5yItS4elXZOGMwXLfPbeq33+4fK0MmzBPfl7zrmz8bpfKsbJz9WzJcC3HSu2mvaR5o1quHCu1q5WX1kGaYyX72JGCf1eKFpMrxYpLuoMHJN2hgxLZe4D6l1ab08M0ORUo8EhzmGbg7Jzek1OBnI5A4OfnVKDA2Tm9J6cCOR2BwM7PqUCBcTNhL6fbmCYwCNY6sI1pVuQ4FchePEJCrCxftUn6jXpb+nZqqnKpWBtW/8mSOZO07zNB4hMSZNKwV+TUmfPy6vAZahrPpGGdJCr6sjxUu5306dRUmjV4LNGqQLMXrJCl11YFypI5Qh0rmFYFssRKTMXKKqeKyrmyaSPFir3PzQ21Nx96wRtuipXgjR3FSvDGjmIlOGNHsRKccUOtKVaCN3ZsY5oVO4oVe/EICbHy2sT5smjZmkQkkHS2wZOV5Z9/T0j3IW+qaTzYHi57r4wd2E7y5cmpfl676UfpNGCya/+B3VpIk/o11M8XL0VLr9dmyPotP6mfS91dQqaO6CoF8uVSP5uevPZGFyuNPqklYRImmw9vUPF6tHAVuTdfaRlWeZy9T84NtDcfesEbbIqV4I0dxUrwxo5iJThjR7ESnHGjWAneuKHmbGOaFT+KFXvxCAmxoovg+Mmzkj59OleuFff9rsTHy9Hjp6VA3lyuKUHuf8eUopjYOJeMsf5GsaJH36m3CdYUIPdaVihcWZY2WKVXcZbiQy+I7wGKleANHsVK8MaOYiU4Y0exEpxxo1gJ3rhRrJgXO4oVezG5ocSKPVS+96ZY0aPqtFh57u4X5MSlY7Lu4GqhWNGLmVWKbxP842VSaYoVk6LhX10oVvzjZVJpihWToqFfF4oVfVamlXSqjWkah2CsD9uYZkWNYsVePChW7PHjVCBNfk499KwRKz3KD5BD5w/Ikr3vU6xoxoxixU9QBhanWDEwKJpVoljRBGVgMYoVA4OiUSWKFQ1IhhZxqo1pKI6gqhbFilnholixFw+KFXv8KFY0+Tn10KNY0QxQMsX40LPP0KkjUKw4Rd7+eSlW7DN06ggUK06Rt3deihV7/Jzc26k2ppPXHCrnZhvTrEhSrNiLB8WKPX4UK5r8nHroUaxoBohixT4oA49AsWJgUDSrRLGiCcrAYhQrBgZFo0oUKxqQDC3iVBvTUBxBVS2KFbPCRbFiLx4UK/b4Uaxo8nPqoUexohkgihX7oAw8AsWKgUHRrBLFiiYoA4tRrBgYFI0qUaxoQDK0iFNtTENxBFW1KFbMChfFir14UKzY40exosnPqYcexYpmgChW7IMy8AgUKwYGRbNKFCuaoAwsRrFiYFA0qkSxogHJ0CJOtTENxRFU1aJYMStcFCv24kGxYo8fxYomP6ceehQrmgGiWLEPysAjUKwYGBTNKlGsaIIysBjFioFB0agSxYoGJEOLONXGNBRHUFWLYsWscFGs2IsHxYo9fhQrmvyceuhRrGgGiGLFPigDj0CxYmBQNKtEsaIJysBiFCsGBkWjShQrGpAMLeJUG9NQHEFVLYoVs8JFsWIvHhQr9vhRrGjyc+qhR7GiGSCKFfugDDwCxYqBQdGsEsWKJigDi1GsGBgUjSpRrGhAMrSIU21MQ3EEVbUoVswKF8WKvXhQrNjjR7Giyc+phx7FimaAKFbsgzLwCBQrBgZFs0oUK5qgDCxGsWJgUDSqRLGiAcnQIk61MQ3FEVTVolgxK1wUK/biQbFijx/FiiY/px56FCuaAaJYsQ/KwCNQrBgYFM0qUaxogjKwGMWKgUHRqBLFigYkQ4s41cY0FEdQVYtixaxwUazYiwfFij1+FCua/Jx66FGsaAaIYsU+KAOPQLFiYFA0q0SxognKwGIUKwYGRaNKFCsakAwt4lQb01AcQVUtihWzwkWxYi8eFCv2+FGsaPJz6qFHsaIZIIoV+6AMPALFioFB0awSxYomKAOLUawYGBSNKlGsaEAytIhTbUxDcQRVtShWzAoXxYq9eFCs2ONHsaLJz6mHHsWKZoAoVuyDMvAIFCsGBkWzShQrmqAMLEaxYmBQNKpEsaIBydAiTrUxDcURVNWiWDErXBQr9uJBsWKPH8WKJj+nHnoUK5oBolixD8rAI1CsGBgUzSpRrGiCMrAYxYqBQdGoEsWKBiRDizjVxjQUR1BVi2LFrHBRrNiLB8WKPX4UK5r8nHroUaxoBohixT4oA49AsWJgUDSrRLGiCcrAYhQrBgZFo0oUKxqQDC3iVBvTUBxBVS2KFbPCRbFiLx4UK/b4Uaxo8nPqoUexohkgihX7oAw8AsWKgUHRrBLFiiYoA4tRrBgYFI0qUaxoQDK0iFNtTENxBFW1KFbMChfFir14UKzY40exosnPqYcexYpmgChW7IMy8AgUKwYGRbNKFCuaoAwsRrFiYFA0qkSxogHJ0CJOtTENxRFU1aJYMStcFCv24kGxYo8fxYomP6ceehQrmgGiWLEPysAjUKwYGBTNKlGsaIIysBjFioFB0agSxYoGJEOLONXGNBRHUFWLYsWscFGs2IsHxYo9fhQrmvyceuhRrGgGiGLFPigDj0CxYmBQNKtEsaIJysBiFCsGBkWjShQrGpAMLeJUG9NQHEFVLYoVs8JFsWIvHhQr9vhRrGjyc+qhR7GiGSCKFfugDDwCxYqBQdGsEsWKJigDi1GsGBgUjSpRrGhAMrSIU21MQ3EEVbUoVswKF8WKvXhQrNjjR7Giyc+phx7FimaAKFbsgzLwCBQrBgZFs0oUK5qgDCxGsWJgUDSqRLGiAcnQIk61MQ3FEVTVolgxK1wUK/biQbFijx/FiiY/px56FCuaAaJYsQ/KwCNQrBgYFM0qUaxogjKwGMWKgUHRqBLFigYkQ4s41cY0FEdQVYtixaxwUazYiwfFij1+FCua/Jx66FGsaAaIYsU+KAOPQLFiYFA0q0SxognKwGIUKwYGRaNKFCsakAwt4lQb01AcQVUtihWzwkWxYi8eFCv2+FGsaPJz6qFHsaIZIIoV+6AMPALFioFB0awSxYomKAOLUawYGBSNKlGsaEAytIhTbUxDcQRVtShWzAoXxYq9eFCs2ONHsaLJz6mHHsWKZoAoVuyDMvAIFCsGBkWzShQrmqAMLEaxYmBQNKpEsaIBydAiTrUxDcURVNWiWDErXBQr9uIRMmIlPj5BTp89LxkzpJcc2bP6TQX7nzh1RvLlySnp0qVLtH/kxSiJi4uT3Dmze/ztyKkov8+VljtkHztS8C+mYmW5XLGKRGzaIBk3bZTI3gPUv7TanHroUazYjzAfevYZOnUEihWnyNs/L8WKfYZOHYFixSny9s5LsWKPn5N7O9XGdPKaQ+XcbGOaFUmKFXvxCAmxsmX7Huk6aKpcvBStaJS//255tcPzUvKuEurnMdMWyvwlqzxIPVDqDnn/zatiYf3Wn6TX8Bmu/Yf0eFEaP1Nd/e1SVLT0GTlL1ny7Q/1c5t7bZMqILkrAYKNY0bsBnXroUazoxSe5Unzo2Wfo1BEoVpwib/+8FCv2GTp1BIoVp8jbOy/Fij1+Tu7tVBvTyWsOlXOzjWlWJClW7MUjJMTKth2/yvFTZ6TqI2Uk6nKMDJ8wTxISEmT6qO5XxcqbC+TgkePSu2MTF61MERnkpvx5JDo6Rqo07CKdWjaQZg1rytrNO5WkWbVwnBQplF/mLFghSz5fJ/OnDJDMmSOkQ58JcmvxQjK8VyuKFT/uPaceehQrfgQpiaJ86Nln6NQRKFacIm//vBQr9hk6dQSKFafI2zsvxYo9fk7u7VQb08lrDpVzs41pViQpVuzFIyTEijeCz1Zvlr4jZ8mub+aoaT0QK2fPX5BR/dsmooXRKh37TpQfV89W04iw1W3eV5o2qKlEy3Nth0itauWlTdO66m+r1n0vPYZOk91r35WwsDCOWNG8/5x66FGsaAYomWJ86Nln6NQRKFacIm//vBQr9hk6dQSKFafI2zsvxYo9fk7u7VQb08lrDpVzs41pViQpVuzFIyTFSr/XZ8mf+w/LklnDFB2IlVXrf5BHHrxXcufMJjUqlpUH77tT/W3JZ+tk7ocrZcV7o10kOw+cIiWKFpQe7RpL+TrtZUSf1vJE1XLq77/8fkDJli2fTVO5XDgVSO8GdOqhR7GiF5/kSvGhZ5+hU0egWHGKvP3zUqzYZ+jUEShWnCJv77wUK/b4Obm3U21MJ685VM7NNqZZkaRYsRePkBMr1miV2eN7SYUHSyo6+N3+Q0clImMG2fPbfvl643aZMPQVqVWtnJrqs3Lddy4Jg/LIt5I1a2ZBrpVS1VvK9NHd1TQjbPv2H5FnXuovXy8eL4VuyisJCfYCkNp7hw0bKjJsmEjVqiLVqomsWyeyfr3IkCGSMGRoap/+v+OHiYSJpDmv8OE4q8iQqkNk/9n9Mu+neVK1eFVZ++K6tLv2ID9T2FWEaR67IMdmRPUZOyPCEFAlEDv1eDH8GRPQxYX4Tip2jFtQRpmxC8qwqQamE23MIKVlVLXZTjEqHGLFw6xaBU9tQkqsbP5+t7zc6w0lRKzks75CgREtZ85dkJljemiNWBnZt408XuUhdSjvESv/njZ8VaAxIyXbtVWBYipWkYzXVgW6gFWB+qThqkAZ0knmiHRy5kJMmn46bp6aRZ2vZ/kBcuj8Aflw7/tSoXBl+ajhf8mMw8+dk/S7d0lCjpwSW/q+NK1fMJwsa6b0Eh4WJpFRscFQXdbRjUDOrBklJvaKRMVcIZcgI5AvR4ScuxgrsVfig6zmrG7B3Jnl2NkoypUguxUwYiVvjgg5fvbqQgjcgodAJofamMFDyNyaso1pVmww4pJb4ARCRqxYuU8gQerXrpQskUlvL5UdP/8u86f0VysCIcfKztWzJcO1HCu1m/aS5o1quXKs1K5WXlozx0rgd5mIODVMU2cqEJagzluvtsQ8WllOLvdcPcrWRYfIzhymGbyB5FSg4I0dpwIFb+w4FSg4Y8epQMEZN9TaqTZm8BIzp+ZsY5oTC9SEU4HsxSMkxMryVZuk36i3pW+nplKjUlkXEeRTyZI5k0yctUSeeaKiFC9yk/y276C07D5GWjepK+2aPy1R0ZflodrtpE+nptKswWOJVgWavWCFLL22KlCWzBHSnqsCBXTHOfXQo1gJKFweO/GhZ5+hU0egWHGKvP3zUqzYZ+jUEShWnCJv77wUK/b4Obm3U21MJ685VM7NNqZZkaRYsRePkBArr02cL4uWrUlEAklnGzxZWZ5vP0x27/3b9XeMaBnUvYVkisiofrd204/SacBk198HdmshTerXUD9fvBQtvV6bIeu3/KR+LnV3CZk6oqsUyJdL/czktXo3oFMPPYoVvfgkV4oPPfsMnToCxYpT5O2fl2LFPkOnjkCx4hR5e+elWLHHz8m9nWpjOnnNoXJutjHNiiTFir14hIRY0UEQeTFKzpw9LwXy5pZMma4KFfftSny8HD1+WgrkzeWaEuT+9/ORFyUmNk7y5cnpsV+wiBXv641EjpXeaZhjJWM6yRKRTk5Hpm2OFYoVnU9H8mX40LPP0KkjUKw4Rd7+eSlW7DN06ggUK06Rt3deihV7/Jzcm2LFSfr2zs02pj1+13tvihV7RG8YsWIPU9J7U6zokXXqoUexohef5ErxoWefoVNHoFhxirz981Ks2Gfo1BEoVpwib++8FCv2+Dm5t1NtTCevOVTOzTamWZGkWLEXD4oVe/yMnwpk8/Ku2+5OPfQoVuyHkA89+wydOgLFilPk7Z+XYsU+Q6eOQLHiFHl756VYscfPyb2damM6ec2hcm62Mc2KJMWKvXhQrNjjR7Giyc+phx7FimaAkinGh559hk4dgWLFKfL2z0uxYp+hU0egWHGKvL3zUqzY4+fk3k61MZ285lA5N9uYZkWSYsVePChW7PGjWNHk59RDzxIrRXMUl+i4aDlx6ZhUKFxZljb4b1llLrecfBD50NO8yQ0sRrFiYFA0q0SxognKwGIUKwYGRaNKFCsakAwt4lQb01AcQVUttjHNChfFir14UKzY40exosnPqYeeJVbcq0mxohm0a8X40POPl0mlKVZMioZ/daFY8Y+XSaUpVkyKhn5dKFb0WZlW0qk2pmkcgrE+bGOaFTWKFXvxoFixx49iRZOfUw89ihXNACVTjA89+wydOgLFilPk7Z+XYsU+Q6eOQLHiFHl756VYscfPyb2damM6ec2hcm62Mc2KJMWKvXhQrNjjR7Giyc+ph96WwxtUDRt9Ulv9d2mDlZIjIpeUzHefq+acCpR8EPnQ07zJDSxGsWJgUDSrRLGiCcrAYhQrBgZFo0oUKxqQDC3iVBvTUBxBVS22Mc0KF8WKvXhQrNjjR7Giyc/ph97470aqmvYsPyBRjSlWKFY0b+OgK0axEnQhc1WYYiV4Y0exEpyxo1gJzrih1k63MYOXnPM1p1hxPgbuNaBYsRcPihV7/ChWNPmZ+NDLsHuX5BjQW8LPnRX8f3zOnBJbqozElSot50aO07yy0C/Gh17wxphiJXhjR7ESvLGjWAnO2FGsBGfcKFaCN26oOduYZsWPYsVePChW7PFzXKykO3hAsiz+INFVxDxaSS5XrGLz6q7f7iaKFWukivdVxjxaWU4u/2/VoOtHITiPxIdecMYNtaZYCd7YUawEb+woVoIzdhQrwRk3ipXgjRvFinmxo1ixFxOKFXv8HBcrScmByN4DBP9M2W5EsYLpRxOuTUFyj0OP8gN8TkkyJVbe9aBYMTUyKdeLYiVlRqaWoFgxNTIp14tiJWVGJpagWDExKnp1MrGNqVdzlmIb06x7gGLFXjwoVuzxo1jR5GfiQ8+SUgkRmST+ppskLDpawo8fk+s1YoViRfPmYLFUI0CxkmpoU/3AFCupjjjVTkCxkmpoU/XAFCupijdVD25iGzNVLziEDk6xYlYwKVbsxYNixR4/Y8RKfI6cElf6PsHUoHSHDqrRKhyxknxwU3sqkCVWKhSuLBUKVxGsULTl8EbhiBWbHzrurk2AYkUblXEFKVaMC4l2hShWtFEZVZBixahw+FUZihW/cBlVmGLFqHAIxYq9eFCs2ONnjFi5UrSYXGrSXCALMm7aSLGiEVeVn2bR+0pG4b8WQ+u/GodItgjFil2C3N8uAYoVuwSd259ixTn2ds9MsWKXoDP7U6w4w/16nJVi5XpQdOYYFCvOcE/qrBQr9uJBsWKPH8WKJj+TH3qptdwyxYrmzcFiqUaAYiXV0Kb6gSlWUh1xqp2AYiXV0KbqgSlWUhVvqh7c5DZmql54CBycYsWsIFKs2IsHxYo9fhQrmvxMfuhRrCQfRD70NG9yA4tRrBgYFM0qUaxogjKwGMWKgUHRqBLFigYkQ4uY3MY0FJkx1WIb05hQqIpQrNiLB8WKPX4UK5r8TH7oUaxQrGjexkFXjGIl6ELmqjDFSvDGjmIlOGNHsRKccUOtTW5jBi/VtKk5xUracNY9C8WKLinf5ShW7PGjWNHkZ/JDj2KFYkXzNg66YhQrQRcyipXgDZmr5hQrwRlEipXgjBvFSvDGDTWnWDErfhQr9uJBsWKPH8WKJj+KFa4KpHmrsNh1JECxch1hpvGhOGIljYFfx9NRrFxHmGl4KIqVNIR9nU9lchvzOl9qyB2OYsWskFKs2IsHxYo9fhQrmvxMfuhxxEryQeRDT/MmN7AYxYqBQdGsEsWKJigDi1GsGBgUjSpRrGhAMrSIyW1MQ5EZUy22MY0JhaoIxYq9eFCs2ONHsaLJz+SHHsUKxYrmbRx0xShWgi5krgpTrARv7ChWgjN2FCvBGTfU2uQ2ZvBSTZuaU6ykDWfds1Cs6JLyXY5ixR4/ihVNfiY/9ChWKFY0b+OgK0axEnQho1gJ3pC5ak6xEpxBpFgJzrhRrARv3FBzihWz4kexYi8eFCv2+FGsaPKjWGGOFc1bhcWuIwGKlesIM40PxREraQz8Op6OYuU6wkzDQ1GspCHs63wqk9uY1/lSQ+5wFCtmhZRixV48KFbs8aNY0eRn8kOPI1aSDyIfepo3uYHFKFYMDIpmlShWNEEZWIxixcCgaFSJYkUDkqFFTG5jGorMmGqxjWlMKFRFKFbsxYNixR4/ihVNfiY/9ChWKFY0b+OgK0axEnQhc1WYYiV4Y0exEpyxo1gJzrih1ia3MYOXatrUnGIlbTjrnoViRZeU73IhI1bi4xPk9NnzkjFDesmRPavfVLD/iVNnJF+enJIuXbpE+0dejJK4uDjJnTO7x9+OnIry+1zXcwdLClwpWkwuNWku+Dnjpo0S2XuA+mfKZvJDj2KFYsWUz8n1rgfFyvUmmnbHo1hJO9bX+0wUK9ebaNocj2IlbTinxllMbmOmxvWG0jEpVsyKJsWKvXiEhFjZsn2PdB00VS5eilY0yt9/t7za4XkpeVcJDzoxsXHSpudYiYq+LEtmDXP9bf3Wn6TX8Bmu/Yf0eFEaP1Nd/f1SVLT0GTlL1ny7Q/1c5t7bZMqILkrAYKNY0bsBTX7oUaxQrOjdxcFXimIl+GJm1ZhiJXhjR7ESnLGjWAnOuKHWJrcxg5dq2tScYiVtOOuehWJFl5TvciEhVrbt+FWOnzojVR8pI1GXY2T4hHmSkJAg00d1d101fh44Zo58uvJbuffO4i6xEh0dI1UadpFOLRtIs4Y1Ze3mnUrSrFo4TooUyi9zFqyQJZ+vk/lTBkjmzBHSoc8EubV4IRneqxXFih/3nskPPV9iZfvOX+R85EWpXrmcH1fpWXT8dyNlwncjpULhylKhcOonr/3jr4MSGXlRypa5R1Xk2IlT8uvvf0u1ig8FfA3YkQ89W/gc3ZlixVH8tk5OsWILn6M7U6w4ij/gk1OsBIzO8R1NbmM6DsfwCrCNaVaAKFbsxSMkxIo3gs9Wb5a+I2fJrm/muKb1vP3B5/LFmm3yVM0KsnLtNpdYwWiVjn0nyo+rZ6tpRNjqNu8rTRvUVKLlubZDpFa18tKmaV31t1XrvpceQ6fJ7rXvSlhYGEesaN5/Rj/01q+R3I3rS8zDj8qpJcvUFW35fpe8Ne8jmTGuvxJq7hviHpExo/y1/x9Z/MnqRATuuqO4fL3hOzl28V/1L1uG7JI1Yza5GHNBLsRGSuVad8moJq+p/QaNmi7x8fEpUkyfLr0M69veVW7f/n8kOvqy+jlD+vRy5+3F5bXxb6vf1arxqOTIllV+/+uAfL3+O3nhuTqq3P2l7gpomhwfeimGx9gCFCvGhibFilGspIjI2AIUK8aGJtmKUawEZ9xQa6PbmMGLNU1qzjZmmmDWPgnFijYqnwVDUqz0e32W/Ln/sEuerN7wgwyfOF+Wzhoq67f8pEagWFOBlny2TuZ+uFJWvDfaBajzwClSomhB6dGusZSv015G9GktT1S9OnLhl98PKNmy5bNpqpPKqUB6N6DJD7327ftJ5OEjkpAhQuLz5knxgjJnipB3pw6T02fOye69fyUqX6zwTZKQIDJv9yxZ9P0iKf5nFSnfqJDsPrNDfjq2Q9o+2l76Vhmk9vvuxz0iCf8dYt2338vxU6elcb1aiY5bvmxJ1+8GjHxTjhw9IZkzZ5aoqCgZObCz9Bj4hhS6Kb+cPXdeateoKOu37JDcObMJJMxDZUrKi02ekvx5c6d4fd4F+NDzG5kxO1CsGBMKvytCseI3MmN2oFgxJhR+VYRixS9cRhU2uY1pFCgDK8M2pllBoVixF4+QEyvWaJXZ43tJhQdLyu69f0urHmPknQl9pNTdJeTD5Ws9xAqm+qxc951HzhXkW8maNbMg10qp6i1l+ujuapoRtn37lCsW/AAAIABJREFUj8gzL/WXrxePl0I35ZWT566OGnBqy/DtBsn51BMSX6y4RDdtLvgZ/y71Haj+mbJlzBAumTKkk/OXYk2pkqserdr0kfYblslDd94ikQuWypS3F6vcOn27vCgfr1gr/x49Ka+0fk6V37HrN5nzwTJ5f8Zw9fM/h49LbJznNRUvWkjWbPxBFm5dIj/8tUPynCshtz6QW/6JPCj74nZL2/pNpPcjvmPTud84qVm1vNSrXTVZTn2GT5Wna1WRAvlyy/A3ZkutxyrIj7t+k5eb15ORE96VgT1byYCRM+SdKYNl4OvTpemztaXCQ6UDYp85Ip2Eh4XJxei4gPbnTs4RyJYlg8TFXZHomJRHRTlXS57ZF4Fc2TLIhagrEneFsQu2OyRvjgg5HXlZCXZuwUMgPDxMcmXNIKcjY4Kn0qypImByG5MhSp4A25hm3SH5cnqO0jerdubXJqTEyubvd8vLvd5QQsRKPjti0nuC5LZVK9yvovHr7/tlz+/7pdFT1aTDi/Vk5ZptKY5YGdm3jTxe5WqeCu8RKzFxzjZ6w9evl/Q1a0hC8eIS3+JFwc9hG9bLlUGD5crgIcbcgeiYh4eLxF0xr6XZuFlP6fn1UqlU6jZZOXScjHnzAxnVv508WOYueX/pKtl/6KgM7P6iYrnlhz0y5s335dO5o9TPTTsOl5Onznpw/uSdkTJ+5iLZuu8H+fnyNimas7gUy1FM/j74r5yIPiYt21eTfo8OkJ17/vTY7+TpczJh5mJp36KeFCtyU6LYhUmY3F/qdjW9rXP/idLwqWpSMH8e6Tdypowb3FHOnr8gD5S6Q2YvWCFP1nhYtv/0mzSsW1XWbv5RIjJkkEfLlQrofsBbPGxX4s2LXUAXdAPtlD48TBC2ePbwgi7qGdKFS1x8PDvnQRc5kYzpw8XptkEQYnO8ynjSpU8fLrEOt+scBxGEFTC5jRmEONO0ymxjpinuFE+G5xe3wAmEjFixcp9AgtSvXclFZOO2XfLrHwdcP//0yz7Z9etf0vzZx+WFZx+X73/6TeVY2bl6tmS4lmOldtNe0rxRLVeOldrVyktr5lgJ/C4zfP7rb0s+kju6d5T1D1WRt/LfJvVqV5Mmz9ZW17t0+deye+8+GdKrrcqpc/ZcpBz+97iUvPs29feOvUdLh5aN5LZbiqj8Jh17j5J3Jg+VmfM+kr+v/CzL4mZKuUIVpFyhR2Xz1l1y9O9Ieb5lZWlfsod0HzReYmP/G+2C1aqwYaoRNu+f8btJI3tJzhzZBFOB6j5RWU3teX3iHHn1lRYy+/1Pk4zRTfnzSN+uLQOKIYdpBoTNiJ04FciIMARUCU4FCgibETtxKpARYfC7EpwK5DcyY3bgVCBjQuF3RdjG9BtZqu7AqUD28IaEWFm+apP0G/W29O3UVGpUKusigvwSWTJn8iDkPRUIndeHareTPp2aSrMGjyVaFQhv/5deWxUoS+YIac9VgQK640x+6H0xbbZ8smKtZM6USRr27OCxis43G76Tt9/7WHJkzybp019Nbly7RgV55tpUHYiV7u2byh23FlMipGXnIVfFytylsmbbVrkYGykZwyMkQ7qMEnslRs5kP6jESs/yA1wc4+OvyLR3lsiBQ0dkaO8Oki1rZvW3uQuXC1b6GdyrrUqW6755i5XJr/eWP/86KH8fPCL33FVCJs1cIHVqVpLCNxeQf/89LqXvvVNKFL85oNjxoRcQNiN2olgxIgwBVYJiJSBsRuxEsWJEGPyuBMWK38iM2cHkNqYxkAytCNuYZgWGYsVePEJCrLw2cb4sWrYmEQkknW3wZOVkxQr+uHbTj9JpwGRXuYHdWkiT+jXUzxcvRUuv12aopLfYkKdl6oiuUiBfLvUzk9fq3YAmP/S+eWuuFJw0RirdUVzOLF/pcUFYpvufI8ckJva//CK5cmSXvHlyqnIQK1iWO2f27CrXytbtP7vEysF0v8iS2Emu5ZbXf/ujHP3jgodYgYyZNe8j+W3fQRnZv6PkzpXDdX7kxhgxYbZkzZJJurZtKhkzZnD9zVusIJnurj1/yPtLv5CxQ7pKl/5jpU2zBhITGyufrdzgsaKQXsT+K8WHnr/EzClPsWJOLPytCcWKv8TMKU+xYk4s/KkJxYo/tMwqa3Ib0yxS5tWGbUyzYkKxYi8eISFW7CG4uveV+Hg5evy0FMibyzUlyP245yMvqs51vmsdautvFCt69E1+6EVs2iBfduwue2+9R6KfeDLZCypR7GZpULe6q8z3O3+RS5ei1M+4PzBHu1rFh2TKrIVqxEpk/BnJlD6zZE6P1Xsue4xY+W77bpn9wadyPvKCWgq5cKECic6NlYe2/LBL8uTOJS89/5SUK1tSTUnyJVY+W7VB/th3UHp0fMElVv78+5AcPnpcOrf5n16gfJTiQy9gdI7vSLHieAgCrgDFSsDoHN+RYsXxEARUAYqVgLAZsZPJbUwjABlcCbYxzQoOxYq9eFCs2OPHESua/Ex+6EGs7G3ZSo7ce79Edumhrgiy4+PP18hzzzyuVoiytgL580jZ0ne7fp7x7hK5584SSqZs2PKjfLN+mxodMmH6+/LXld3yWezb8lDBh+XBgo/Ilm0/y7GDV3OsVI9oKGPfnKemFO3Y9atky5pVbi9RJBHNP//+R61Q9ECpu2TZynXS5eUm8mj5Mj7FytCxb8neP/6WqaP7yGvj31YjVhZ/ukottzxlVG8pkC/lpaR9hZMPPc2b3MBiFCsGBkWzShQrmqAMLEaxYmBQNKpEsaIBydAiJrcxDUVmTLXYxjQmFKoiFCv24kGxYo8fxYomP5MfehAreevVlphHK8vJ5avUFR09flK6DXhDpo/tJ3lyX53242v7au0W2fnzb9K7y0sy+a0FUqhgPmlc7wklVrbv3y6/xH0vRbIXlcLZi8mBQ//KqZjjSqx0e7CvHDtxWm4umF+GjJ4pFcrfJ7VrPJroFCvXbJYt3+1SsgZJc/PlzaXyrWDEStUKD0qePDll2pzFKnntG9PmS4M61WXP3r/l3xMnlADa/P0uJW927fld+nVrpUa7+LvxoecvMXPKU6yYEwt/a0Kx4i8xc8pTrJgTC39qQrHiDy2zyprcxjSLlHm1YRvTrJhQrNiLB8WKPX4UK5r8gu2hpytWTpw6K72HTpTp4/pLx16vS58uLeXWW4rI7r1/yqyv3pXtf+2QQsVzSoG4EnL0wmH5M+IHefnJFz2S1+qKFXfUECsYiYINqwiVKYnktIXl6VqVZeTEd+Sv/f9I5syZpX7tqvJY1fLSZ/hkGdC9jUcOF83QCR96uqTMK0exYl5MdGtEsaJLyrxyFCvmxUSnRhQrOpTMLBNsbUwzKTpTK7YxneGe1FkpVuzFg2LFHr80Eyu+RlWg6tbvrxQtJpeaNFc/Z9y0USJ7D1D/TNlMfugd/OffRJiOnTwj46fNl/7dWkuunNkS/b1YkUJq6eW9f+yXI8dOyL//npSN23aocm1bPCtFC98kfca9IQcz7JFbqqeXwsfKyt5tJ+SvO76W9jVfTiRWoi5flluKFEp0nkNHjknGDBkSJZ+FWHmiegUpWCCvTHvnQ3ml1fNyJf6KZI7IJP9n7zzAoyrWPv7fVBIgQQiEkhDAQgvgFY1SEopSrtjwA6QKWLBhAwNIkRpAELwW9IpYaArC1Wu9IColFAWlhKqiktAhlCSSXr5nJpwl2WTZOWfO2T1n9x0enk1ypp3/O3tm9rfvvMNOGXr5jcW4784uuL5JNAL8A5Cdk4NG0fXLbWsSHRs06YkqZb58BFbMZxPRHhFYEVXKfPkIrJjPJiI9IrAiopI585h5jWlOxczTK1pjmscWrCcEVuTsQWBFTj8CK4L6mXnS6//oOMG7uJJtxbuzsffgYXy0+n+IjqqLqLq1Ub9eHdSLjMD5i5lImr8INVuW4POAN9GuQUe0a5CAjRt3I2tXKDr2a4Tp9021V8Y8VoKDA9Gi6bUV+sFiprCgt2wrUNnEjmGOqFnD7oHCtiGxILdXS089/ADib/uH6nulSU+1ZKYpQGDFNKZQ3RECK6olM00BAiumMYWqjhBYUSWXqTKbeY1pKqFM2BlaY5rLKARW5OxBYEVOP8PBil9GBgL2pyBwbwrCJySiILY1MmbORUlYOP9Z8VgprhOJ3Nu7I3DvHgTuSyGPFRV2ZUcqq0mu4pTk5edjV8qv2FL8BeZvT7Ift7zt+CbsOfArRnR9FIntrngT7dxzEJF1alV6KlDasVNIP3cBN7VprqaLuualSU9XOd1aGYEVt8qta2MEVnSV062VEVhxq9y6NUZgRTcp3V4RgRW3S65bg7TG1E1KXSoisCInI4EVOf0MBysKOHHsphJo1dl12gokaVgdis/bnlQBrGw7noxRcRPKbQXSoSlDq6BJz1B5Da2cwIqh8hpaOYEVQ+U1tHICK4bKa1jlBFYMk9bwigmsGC6xYQ3QGtMwaTVVTGBFk2z2QgRW5PTzOFhh3inh4xNhy7yIwH17URwWjsLY1sgeMJjHXDFL8sVJj8CKWUaf7/aDwIp1bU9gxbq2I7BiTdsRWLGm3VivfXGNaV1rle85gRVzWZLAipw9CKzI6VcOrPT5rAdssGFV7zWStV4prniklAQHg233seXlwe/M6XJHA7PczoLb6tYRyYp8cdJTC1bWbfwJJUXF6N61naTa+hanSU9fPd1ZG4EVd6qtb1sEVvTV0521EVhxp9r6tUVgRT8t3V2TL64x3a2xUe3RGtMoZbXVS2BFm25KKQIrcvqVAysN3gzltR0fmS1Za0Wwopz645+WitAVywis6KawcRWpBSvbd+3HuvU/YsKoh43rlIaaadLTIJpJihBYMYkhNHSDwIoG0UxShMCKSQyhshsEVlQKZqLsBFZMZAyVXaE1pkrBDM5OYEVOYAIrcvoRWBHUzxcnPbVghUk5/OnJmD99tP20H0F5Dc1Gk56h8hpaOYEVQ+U1tHICK4bKa2jlBFYMldewygmsGCat4RX74hrTcFHd1ACtMd0ktGAzBFYEhXKSjcCKnH4EVgT188VJTwtYeev9T3Bdo2hTbQeiSU9wkJswG4EVExpFsEsEVgSFMmE2AismNIpAlwisCIhk0iy+uMY0qSlUd4vWmKolM7QAgRU5eQmsyOlHYEVQP1+c9LSAFTNuB6JJT3CQmzAbgRUTGkWwSwRWBIUyYTYCKyY0ikCXCKwIiGTSLL64xjSpKVR3i9aYqiUztACBFTl5CazI6WcasKKcDlTQqjUykuZK3pX+xX1x0tMCVpjyZtsORJOe/u8Hd9VIYMVdSuvfDoEV/TV1V40EVtyltL7tEFjRV0931uaLa0x36mtkW7TGNFJd9XUTWFGvWdkSBFbk9DMNWJG8DcOL++KkpxWsmG07EE16hr89DGuAwIph0hpeMYEVwyU2rAECK4ZJa2jFBFYMldfQyn1xjWmooG6snNaYbhRboCkCKwIiXSULgRU5/QisCOrni5OeKFhhR2UHbd2M/PYdkdchAWbbDkSTnuAgN2E2AismNIpglwisCAplwmwEVkxoFIEuEVgREMmkWXxxjWlSU6juFq0xVUtmaAECK3LyEliR04/AiqB+vjjpiYKV6nOSwP5njZnA/7Nkpu1ANOkJDnITZiOwYkKjCHaJwIqgUCbMRmDFhEYR6BKBFQGRTJrFF9eYJjWF6m7RGlO1ZIYWILAiJy+BFTn93AZWisPDURDbBn4ZF8HiqeS3j0f6F2sle+++4r446cmAFTNtB6JJz33vE71bIrCit6Luq4/Aivu01rslAit6K+qe+gisuEdnI1rxxTWmETp6ok5aY3pCdedtEliRsweBFTn93AZWHLtJYEXScG4oLgNWzLQdiCY9NwwWg5ogsGKQsG6olsCKG0Q2qAkCKwYJa3C1BFYMFtjA6gmsGCiuwVXTGtNggVVWT2BFpWAO2QmsyOlnOFjxT0tF6IplUF6Lohsie8AQKK+S3XdbcV+c9GTACjOMWbYD0aTntreJ7g0RWNFdUrdVSGDFbVLr3hCBFd0ldUuFBFbcIrMhjfjiGtMQIT1QKa0xPSD6VZoksCJnDwIrcvoZDlaU7rEAp7Xu7Wm5LUBK/31x0pMFK2bZDkSTnuRDwoPFCax4UHzJpgmsSAroweIEVjwovkTTBFYkxPNwUV9cY3pYct2apzWmblLqUhGBFTkZCazI6cfByrbjmwDY0OezHry21b1LY5+0axAvWfuV4gRWdJPSbRXJgpUduw9g7fdbMXH0I27rc2UN0aTnUfmlGiewIiWfRwsTWPGo/FKNE1iRks9jhQmseEx66YYJrEhL6LEKaI3pMekrbZjAipw9CKzI6cfBSoM3Qyut5fjIbMnaCazoJqAHKpIFK6zLfDvQjNG4JjzMA3dQ2iRNeh6TXrphAivSEnqsAgIrHpNeumECK9ISeqQCAisekV2XRgms6CKjRyqhNaZHZHfaKIEVOXsQWJHTrxxYiarekNd2LCuNvxJYuSKuL056eoAVM2wHoklP8iHhweIEVjwovmTTBFYkBfRgcQIrHhRfomkCKxLiebioL64xPSy5bs3TGlM3KXWpiMCKnIwEVuT0KwdWRsVN4LXN355EYMVBV1+c9PQAK8p2oPvv6oqfdx/AHZ1uRf26tSVHrbriNOmp08tMuQmsmMka6vpCYEWdXmbKTWDFTNYQ7wuBFXGtzJbTF9eYZrOB1v54co3pl5GBgP0pKAkLR0Fsa6234FXlCKzImZPAipx+5cBKdFgMr+1oZiqBFQIrkAUrB3/7Czt27cea77eguKQEXePjMOLB+yVHrPrinpz01PeWSpRVgMCKdccDgRXr2o7AijVtR2DFmnZjvSawYl3beXKNafX4lUZYncCKnKpeA1aKi0tw/mImggIDEFa9agVV8vILcPbcRYSGVEHNGtUrXGflz567gIia4fD3969wPetSDgoLC3FNePmyFGNFbAD64qQnA1Yysy7h62+T8fV3m/m4Y2n+9NFu91Zh7Xpy0hMbXZTLmQIEVqw7NgisWNd2BFasaTsCK9a0G4EV69rN02tMAisVxw6BFbn3k1eAlW2/7Mezk97Apexcrkbcjc3wwhMPoGXTxvz3SXPex6ffsJN7SlPb1jfg9RnPoEZYNf77xh/3IHHa2/byk0cNRb97uvBr2Tm5GJu0ED9s3sl/b9PiWl6WARiW3AVWmLta4L49KA6vYUl3NQIrCfz0qG3Hk8G2jI2+vG2MjaHqc5L4/6wxE/j/sokBlkXLPkNuXj7GP/eQ3LtdY2kCKxqFM0ExAismMILGLhBY0SicCYoRWDGBETR0gcCKBtFMUsQX15gmkV66G55cYxJYqWg+AityQ9orwMpPOw/izLkL6HRbG+Tk5WPa/MUoKSnBW7Oe5+q8s/RLdLy1FZo2icaJ0+kYNDIJQ/6vG0YMvhu5uflIuP8ZjBzeG4PuvwPrt+7mkGbtx3MRVa823vvoa6z6agOWvD4BISHBeGLsfDSJqYdpiaUfcq8ctwz0+awn/9vq3mv4a7sGCXLW8aLSvjjpufJYYQ/0oK2bEbR5E9jPeR0SkN8xAfntO/KflfKOw4CNL3eOLU9Oel70FvDIrRBY8YjsujRKYEUXGT1SCYEVj8gu3SiBFWkJPVaBL64xPSa2zg17co1JYIXAis7DGV4BVhxF+XLdVoxLWoiU79+rsK2noKAQXfuNwtPDe3OvFOat8uS4V7Fr3SK+jYilXkPGYWDvOzho6TtiMnp0jsMjA3vxa2s37MCoKQuwb/0HsNlsHKwoSTl2Wc/TgPQ2uKfq88VJzxVYUTxVHG2ieK4QWPHUaPWedgmsWNeWBFasazsCK9a0HYEVa9qN9doX15jWtVb5nhNYMZclyWNFzh5eCVZenLkQh48cx6qFU+3q5BcU4v0V32DTtj2oXasGksY9gmpVQ7Dqyw348JM1+HrpbHvepye+jsbRdTHqsX6Iu/NxzBj7MLp3uoVfP/BbKoct275cwGO5EFgRG4C+OOnpBVbaNYjnHiqfHFzKj/ImjxWxMUe5AAIr1h0FBFasazsCK9a0HYEVa9qNwIp17cZ6TmDFXPYjsCJnD68DK4q3yqJ5iWjXtqVdHbblZ8LLi3DocBrq1KqBWeNHoG6dmnyrz5oN28tBGBZvpWrVELBYK7FdhuOt2c/zbUYs/XHkBO4ZNh7frZyHepG1kJVdYG8jbG4Q/zkzMV/OKl5YOsDfD4EBNuTkFXnh3VV+S7O2TMesrdPRMToB8dGdkHx0IzYf3YQX20/Cix0mIThpOoJmTkdJwxgUx8TALzUVtrRU5I+fhLwJk+BYfvm+JUjLTMXX/dfx+tyVggL9YIMNeQW+Yzt3aWt0OwxoFhWXoKCw2OimqH6dFQitEoDc/CKwwOqUrKVAtZBA/J1bAJDpLGU45oUcWsUfl3JKA8ZTso4CvrjGtI51rt5TT64x/TdtROg/u6EoPgHZa77zFkml7qN6aKBUeV8v7FVgZeuOfXg08RUORJTgs44GZrFXRiS+grp1amH6mIeEPFaYd0u3hJt5VY4eK1llJuCwOaWDMXPMFdji6wNMuf8AfxsC/f2Qk+87H85nbZnG4QgHKw07ITntMljpwMDKSwhOmoagpOn8gV6U0AnsAe+fvAn5ExhYeQmO5TlYyWBg5Tten7tSUIAfbDYgr4A+nLtLc73a4WClqBgFRfQJTy9N3VVP1WB/5BYUczBGyVoKVA8JwN85hcRVrGU2+NmA0OAA/J1LYMVipoMvrjGtZiNn/fXkGpODlZ53lIKVtd97i6RS98HmL0raFfAasKLEPmEQ5L6eHa+qyMzXl+GvtJN495VEe4yV3esWIfByjJWeAxMxpE8Pe4yVnp3j8DDFWNE+ynx0/6voVqD8DvE8WC0PZrsl2X46kGN52gokNQR9sjBtBbKu2WkrkHVtR1uBrGk72gpkTbuxXvvidnPrWqt8z2krkLksSVuB5OzhFWDli7Vb8OKsdzFu5EB07XiTXZFrwqtxN+qFy79C73/GI7pebez/7QgefWEuHh7QC48NuRs5uXm4uedjGDtyIAb1vr3CqUCLPvoaqy+fChQaEozHKzkVSGmQgtc6H4y+OOkpYCQ6LAZR1WNwLCsVRzNT7cctK8FrCazIPcSotHMFCKxYd3QQWLGu7QisWNN2BFasaTcCK9a1G+s5gRVz2Y/Aipw9vAKsTH91CVZ8/kMFJZSgs8Oem8W38CiJebS8NGoogoNKt+6s37ILIye8Zr8+8bkHMeC+rvz3S9m5SJz+NjZu28N/j23WGG/MeBZ1Imrw38sGr912fBP/mzuPwpUzv/tK+zJYcVR5VNwEjI6bAAWsFDWMQWF0DAKOpsI/LZU8Vtw3LL2+JQIr1jUxgRXr2o7AijVtR2DFmnYjsGJduxFYMZ/tCKzI2cQrwIqIBAyQnLuQwU8ECqkSXKFIUXExTp05zwPbKluCymbKzLoEdrJQRM3wcmXLghWRfvhqHgIrVyzvCFYcx4Tjcct0KpCvvmvk75vAiryGnqqBwIqnlJdvl8CKvIaeqIHAiidU16dNX1xj6qOc52shjxXP2YB9wcuCKGYljrd3gsCKnD0MByvsNJ4qVUpPy/HGRGBFzKq+OOkxD6atx5PBXrcdT4YCSNpfPj5ZiakSvHkTgrYmI799PPI6JkDZGkQxVsTGFuVyrgCBFeuODgIr1rUdgRVr2o7AijXtxnrti2tM61qrfM8JrHjOkvUjQnnjJ9KzCazoZAZNYCXuzsfx5ZJZ2LB1N+9GTFQkbmx5HdiJO2VTYEAAps5fjI5xrdCj8y06ddlc1RBYEbOHL096CiBRPFUcFVO2BCmeKsp1AitiY4tyEVjxxjFAYMW6ViWwYk3bEVixpt0IrFjXbqznBFY8Zz8CK/prrwmstOw8DMvfnIhRU99Cq2aNUa1qCA4fOY59h/4q18P770zA2g3b8e2KV1AjrJr+vTdBjQRWxIxAYCXJHrSWwIrYmKFc8gqQx4q8hp6qgcCKp5SXb5fAiryGnqiBwIonVNenTV9eY+qjoOdqIbDiOe0JrOivvWawMjVxOL7b9As/knjN+u0crDz3aB9s+3k/9h78kx9PzE7qYZ4sb8x4Rv+em6RGAitihqBJz7lO5LEiNoYol3oFCKyo18wsJQismMUS6vtBYEW9ZmYoQWDFDFbQ1gdaY2rTzQylCKx4zgoEVvTXXjNYaRRdF2fPXUTNGtXRtnVTDlZeePwBJG/fyz1XHh3UC1PnfYjJo4ehXduW+vfcJDUSWBEzBE16BFbERgrl0lMBAit6quneugisuFdvPVsjsKKnmu6ri8CK+7TWuyVaY+qtqPvqI7DiPq0dWyKwor/2msEK2wr0wcr/4ZGBvfhRx5WBlbUbdmDK6GH699pENRJYETMGTXoEVsRGCuXSUwECK3qq6d66CKy4V289WyOwoqea7quLwIr7tNa7JVpj6q2o++ojsOI+rQmsGK+1ZrBS85ownL+QicjaNdGubQunHisvPNEfd8S3Nf5OPNQCgRUx4WnSI7AiNlIol54KEFjRU0331kVgxb1669kagRU91XRfXQRW3Ke13i3RGlNvRd1XH4EV92lNYMV4rTWDldkTRuDr737E0H498NW6bRysPP3Q/fhp5wHsOfAHj7Ey6/Vl8Pf3x9dLZxt/Jx5qgcCKmPA06TnXKfTjpQj9eBmyBwxG9oAh9ox0KpDY2KJczhUgsGLd0UFgxbq2I7BiTdsRWLGm3VivaY1pXdsRWPGc7WgrkP7aawYrbCvQuJnv4KbWTWED8FfaSQ5Uyqa+d3fGj7/sx8K5L6Bhg0j9e2+CGgmsiBmBJj0xncrmIrCiXjMqUV4BAivWHREEVqxrOwIr1rQdgRVr2o3AinXtxnpOYEW7/SYnJ+JA+l5MiZ+DlhGtVVdEYEW1ZC4LqAYrRUVFmPbqEjzx4L0HNuB9AAAgAElEQVT8NCCWrm1UH7fc2AwlJSXlGmTeKrPfWI5bb2qBHp1vcdkZK2YgsCJmNQIrYjoRWFGvE5VwrgCBFeuODgIr1rUdgRVr2o7AijXtRmDFunYjsCJnuz6f9cC248lY3XsN2jVIqFAZ84j3P3YU2Q8MQlHDmArXCazI6V9ZadVghR2xPH72u+h/3+24p3t71AirdtVeXcjIQnS9OqhSJUj/3pugRgIrYkYgsCKmE4EV9TpRCQIr3jgGCKxY16oEVqxpOwIr1rQbgRXr2o3AipztXIGViHt6IGhrMs59vgZ5HSqCFwIrcvrrAlaKi0vw064DWPXlBrBTf0TSc4/2waOD7hLJark8BFbETEZgRUwnAivqdaISBFa8cQwQWLGuVQmsWNN2BFasaTcCK9a1G4EVOdtpBSvBWzahxGYDAy8spX+xlr/mt49H/Vohcp3y8dKqPVbK6nXsxFlMmvMeDqeewBvTn0HzGyq6GbH8Af5+PIitNyYCK2JWJbAiphOBFfU6UQkCK944BgisWNeqBFasaTsCK9a0G4EV69qNwIo2231ycCmOZR3FJ4eW4mhmKvo1H4Lo6jHo22wQosOufBZ35rGieKo4tn4iPZvAijaT2EtJgRVWS1FxMT769Dus+PwHvPtKIupH1pLskrWKE1gRsxeBFTGdCKyo14lKEFjxxjFAYMW6ViWwYk3bEVixpt0IrFjXbmYHKwxarDq0HFHVozm8cHcK3JcCW2YGClu2RnF4uL15xVPFsT+OsVYIrLjbYoA0WHHV5UvZuagaWsVVNsteJ7AiZjoCK2I6EVhRrxOVILDijWOAwIp1rUpgxZq2I7BiTbsRWLGu3TwFVhiwCJswBn4ZF8F+ZtCiILYNCmNbISNprl3Qbcc3oc9nPdGuQTxW9y7dLuPO5AyMKGClRURrhAeHY396CjLzMioEsXUFVoqiG/Lb8T+axl/JY0XeutJg5ePPvse5i5k8hgo7FahK8JUgtXn5BfjnoLGYljgcHeNayffWhDUQWBEzCoEVMZ0IrKjXiUoQWPHGMUBgxbpWJbBiTdsRWLGm3QisWNdungIrLMZIrXt7VhCOxRhh8UYYpGCwgv1nRxqzo4ynxs9FVPWG5bbaGKW84qkSPj6Rgx8GewpatbZ7rihgpW+zwbw/pVuD0lSDlawxE/gtVJ+TRGBFJ2NqAiv/++Ene/PLP/0ON7W+Af5+fli47Es8MfReDO3XE9WrhmDJqrVY+cV6fPb+DAQFBujUZXNVQ2BFzB4EVsR0IrCiXicqQWDFG8cAgRXrWpXAijVtR2DFmnYjsGJduxkNVvzTUhG6cjmKoqKRPeDKVh5XYEXxVHFUdlTcBIyOK4URRibF08SxDeV0HwIrRqovV7cmsNKy8zC0aXEtgoMCUa1aKJ4e3hv/W78dv/15lPdmx+5DePzBe/HvJZ/jtelPo13blnK9NHFpAitixiGwIqYTgRX1OlEJAiveOAYIrFjXqgRWrGk7AivWtBuBFevazWiwogAUxRNFUUr5e3GdSOR27Qb/M6cR/MM6fioO81hRwEqwfzBqh0YiMz+De7EQWLH2WHNH7zWDlR9WzUdk7Zr2Pr626D9gW3/GPNmfe6lMm78YLW6IwaqFU91xHx5rg8CKmPQEVsR0IrCiXicqQWDFG8cAgRXrWpXAijVtR2DFmnYjsGJdu3karLAYI8yThXu2rFhWAawwqNIlpjv2n93DtwW5G6ww8FMSHAy/M6dhy8sDeayYf6xrBivfrZyHemVOAGJgJTc3D9c1jsLLCz7iHi1bf96Pz96bjhuujTa/Ehp7SGBFTDgCK2I6EVhRrxOVILDijWOAwIp1rUpgxZq2I7BiTbsRWLGu3cwOVhyVdTdYye4/GEUNYxD68VIeYJbAivnHumawwm6Neazc+o9mGPVYP3z02fc8xgo7Aei5R/tgwH23Y+r8xTh+8iw/htlbE4EVMcsSWBHTicCKep2oBIEVbxwDBFasa1UCK9a0HYEVa9qNwIp17UZgpXLbKTFWCKxYb2xrAivHT6WjpLgEJ06ngwWvPXzkOG6Pb8shyqzxI+yBas+kX0SXPs9h0bxEr42zQmBFbNATWBHTicCKep2oBIEVbxwDBFasa1UCK9a0HYEVa9qNwIp17WZWsKKcBpSRdxEH0vciLCgcLWu3Rr9mg9Gv+ZUguEYpLwpWOjfshjpV62J96rc4m32aTgUyyiAq6tUEVtZv2YXikhLeTFFRERhoaVA3AuxPAQH+5Zo/dDgND/X/J0KqBKvolnWyElgRsxWBFTGdtIAV5fx6dhxcWHC4+oZclKgWEgA/mw2Z2QW6100VGqtAjWpByC8oQnZekbENUe26K0BgRXdJ3VYhgRW3Sa1rQwRWdJXTrZXRGtOtcuvamJFrTFfBa53FWFFuUAli265BPFb3XqvrfV+tMgWs5N3eDUV16qLK99/yOCuOW4Ec61jdew3aNUgo3Tp07Gjpa1oqjyPDthRlJY7nRepHhPJXOm5Zf5NqAivsVKC2rW9AQEAATp89j7PnLiK2WROcOHUW5y9m8Z9ZYjFX9hz4gzxW9Leb5WqkSU+9yeZtT8L87UlgD3T2oHR2Tr1y7JryQFXf0tVLGDnp6d1Xqq+8AgRWrDsiCKxY13YEVqxpOwIr1rQb6zWtMa1rOyPWmMoxy/z146UcKnC4cPnYZQW4mB2sOFpVFKw4O675RHo2gRWD3yqawcqPX72F6tVC8ek3m5By8E9MGT0MyT+l4N3lX2HJ66VEjKXxsxch7sZmuK9nR4NvxTPVk8eKmO406YnpVDYXgRX1mlEJAiveMgYIrFjXkgRWrGk7AivWtBuBFevajfXcCLCigBNHZZTjlD0NVhjsCVmxvILhMpPmoCC2NcInJCJwbwoC9qXALzMDBbGtUBJWAxkz5/Lrk5MT+SlF+8+m8KOgW0S0QnhwDUyNnwvmvU5gxXPvCc1gZcXbL6FatVC8vfi/aNggEr3uaMdjrDw2Zh62f/NvHsSWpd/+OIq6dWoirHpVz92lgS0TWBETl8CKmE4EVtTrRCWcK0AeK9YdHQRWrGs7AivWtB2BFWvajcCKde3mq2Cl+pwksP+OSfFIUf6uABLHvyvXnXmsK6cIKa9KEFxl64+yFYh58rDEPHtYYh4t9WuFWHtAebj3msBKfO9nnHb7/IVMfo2dGNSqWWPc3a09Etq1sQe0Nep+i4tLcP5iJm+nMoiTm5uP8xlZqFu7Jvz8bBW6wcqfPXcBETXD4e9fPk4My5x1KQeFhYW4Jrx6ubIEVsQsSmBFTCcCK+p1ohIEVrxxDBBYsa5VCaxY03YEVqxpNwIr1rWb0WClOCwcha1aw5aRgcB9KXD0WCmuE4nc27vD/8wpBH+/zn5dUdSoGCtGgxVXYEYBK44jh8CK/HtJE1i5WrMMUFzM/BsnTqWDBblds2E7Zr74KNq0uFa+t05q2PbLfjw76Q1cys7lOdjWoxeeeAAtmzbmvz898XX8sHkn/7nmNWHo3bMjPyJaSRt/3IPEaW/by08eNRT97unCL2fn5GJs0kJ7eXYfr894hgMYlgisiJmVwIqYTmrASmnMlaP45NBSHM1M5ZHKo6vHoG+zQYgOK6XQeiQj3DT16BfV4VoB8lhxrZFZcxBYMatlXPeLwIprjcyYg8CKGa0i1idaY4rpZMZcRqwxla0+zsCJq61Cik5GgRWlfgWwME8SxZukrI20eqwodTgrz+6/spTXIYE8ViTfJLqDFcn+aCr+086DOHPuAjrd1gY5efmYNn8xSkpK8Nas53l9b37wGbp3ugUNG9TBTzsP4MkX/wW2lalV8yZgniwJ9z+DkcN7Y9D9d2D91t0c0qz9eC6i6tXGex99jVVfbcCS1ycgJCQYT4ydjyYx9TAt8SFeN4EVMZPRpCemU9lcrmKsKC6AjjXrHcTWiElPvRpUQosCBFa0qGaOMgRWzGEHLb0gsKJFNc+XIbDieRto7QGtMbUq5/lyRqwxXYET5r0SPj4RtsyLCNy3F9yzJbY1Clq1RkbSXLsoZgcrSqwVJbaKHtakrUByKnoFWHGU4Mt1WzEuaSFSvn+v0m09XfuOQv97u2DE4LvBvFWeHPcqdq1bZN+u1GvIOAzsfQcHLX1HTEaPznF4ZGAv3szaDTswasoC7Fv/AWw2G4EVwfFHk56gUGWyiYKVFhGtER4czgNZZeZlVDjHXn3L5UsYMenJ9onKiylAYEVMJzPmIrBiRquI9YnAiphOZstFYMVsFhHvD60xxbUyW04j1pii4MTZccyKRmxdzeAFCwjL4IXeyZXHimOMFL3br6w+AityKnslWHlx5kIcPnIcqxZOraBO6rHTuHPwWLw1+3nu4bLqyw348JM1+HrpbHtetnWocXRdvl0o7s7HMWPsw9zjhaUDv6Vy2LLtywU8lgt5rIgNQJr0xHQqm0sUrPRtNphv/XF2HLP6lgmsyGpmlvIEVsxiCfX9ILCiXjOzlCCwYhZLqOsHgRV1epkpN60xzWQNdX0xAqwoPXAFTlxdV3cn6nO7Aivqa5QvQWBFTkOvAyuKt8qieYlo17ZlOXVYDJbBTyehetUQfPCvcfD38+NbfVgcmLIQhsVbqVo1BCzWSmyX4XYIwyr748gJ3DNsPL5bOQ/1Imshr6BYzgI+UtrPD/C32VBQVOIjdyx/mzOSp2JG8jQkNOyEhJhOWJqyGKkZqfh20A/8927LuiI5bSOGtH4QMeGNKlyX70FpDWyxabMBhWQ7vSR1Wz0B/ja+LbKIHlNu01yvhoICbPw9V0yPTL0kdVs9wYF+yC8ohjeY7sef9/O4eT273uo2/WQbOvh7KjIy/8Ztl9eAJ0+fw96Df6B757irVs3muUB/P+QX0gNT1gbuLk9rTHcrrl97smtMv40bwRapxQkJFTrFrgV264rihE4o+O6Hip2+eBF+e/agpEY4StrcqN9NCdYUMH0q/KdPQ9Gkl1A4abJgKWOzsfmLknYFvAqsbN2xD48mvsKBiBJ8VpGGxVJ55qU3cOrMOSx5fTxqhFXjl0Q8VpLGPYJuCTfz/I4eK+cy87Sr70MlgwL8ERzkh6zsAh+6a7lbnbNtBub8OAMdohL4/48PlAap/bzvt/z3e1Z1w9ZjyejfYggahsVUuC7X+pXSIcH+sMGG7LxCvaqketykQLWQQBQUFiOvoMhNLVIzeikQXjUIf+cWooiomF6Suq2emtWDcf7vPFiNrOTl5aPEodNbfkrBgvdXY9GrExAaGlxOQzYvBAcH4Y8jx7B89doK+ja/oRG+3fCTU90fHngPbrs5ll8fN30BiktcA40Af3/MnPCkvc7Dfx1DTk7pOoydCtn0+hhMnrMQObl5+Oft7RFevSp+PZzG+/HgA3fyfDe1bsb/7pj8bDaEVwvEhax8t40VakgfBWiNqY+OnqhF6xozcDMLwGpDWK9uvNuZX69DSXgYClu1sd8GyxPWqzsKOsbz62ZLobNmIGT2DOSMm4jsFyeaonu1wso/503RKQt1wmvAihL7hEGQ+3p2LGeCrL+z8czE15Gdm4d35oy2QxWWSYmxsnvdIgQGBvByPQcmYkifHvYYKz07x+FhirEiNazJTVO9fMpWILa3s2XtNlif+i3OZp+2x1BRgtfSViD12vpKCdoKZF1L01Yg69rOqluBRoyagcysv4WFD6kSjA/emIrzFzKw79CfFco1bBCJkstuOyfPnMXrCz/G5MTHUCW4dOEeUSsc1auVAo7tu/aXA1EbNu/AmXPn0e/eHhXqjbvpijfyhKQ3ceLUWYSEhCAnJwdJE5/GqImvoF5kbVzMyETPrh2wcdtOXBNejQOgm9u0xNABd6F2rWsq1EtbgYRNb7qMtMY0nUmEO6R1K1BlRwYrxykrjXt6q48rEWgrkCuFrHfdK8DKF2u34MVZ72LcyIHo2vEmuxXYRMoCzD7w+FT+rd+rU57iW3xYYtuA6tapyb/VuLnnYxg7ciAG9b69wqlAiz76GqsvnwoUGhKMx+lUIE2jnCY99bIpYMWxpHLqD4EV9Zr6WgkCK9a1OIEV69rOymBlwP09cFPr5lz8t95bhezcHLzw1IP4/H8bcOp0Oh4b1odf273vV3z48RccrLB07MQZFBaW92psGFUXG7b8gtSjJ5F+/gJ+2XMQPbq05/mjGkSiWyfn24uenzgPtyfcgru6V3TvLzsyGFjp1T2eg5KZr76Hbl3aYffeX/HwoHsx+7UPMO7ZhzD55bexcP4kTH753+jfuztubduq0sFFYMW67zlaY1rXdkaCFb+MDATu24Pi8BooiG1tOpEIrJjOJNId8gqwMv3VJVjxecW9cyzobPtbYtG1T+mxy2VTzWvCkPzZ6/xP67fswsgJr9kvT3zuQQy4ryv/ncVlSZz+NjZu28N/j23WGG/MeBZ1Imrw3yl4rdgYpElPTKeyuQisqNeMSpRXgMCKdUcEgRXr2s7KYOWRwb3BPEKSf9yFBe+txPjnHkbrltdj9Rff4diJ03ju8UHcML/sPoA331tpBytPjpmN8xculjPa+69Nwb8/XI0LGZloEhNlv5Z67CSCA4Pw4vPDUVhYhP2H/ihX7vzFDLyz+D94sN9daFCvToWBwL4wi23eBH5+/nAEK5NGP4rMrEuIbX4dPvrPGnSNvxkp+3/Hnd06YuuOPQgMDMQtN7aodHARWLHue47WmNa1nSxYKYpuCFteHvzOnIajx4rZVSGwYnYLqe+fV4AV9bddsURRcTFOnTmPOrVq2LcElc3FJur8gkJE1AwvV5jAipj6NOmJ6VQ2Fzvl55NDy3hclWNZaYiq3pCf/qOcV08eK+o19bUSBFasa3ECK9a1nVXByr5DhxFxzTXYsXs/lq/+Bvf27IwB/9eTG4KBlX2H/sDkxBHcE/hiRhaOnzyDls2u5dcZWHlieB9c2ygKubl5eHLMLHCwsvg/YFuCetxe6qnC0sYtP2Pv/j84WLl0KQfPT5qHgoIr8deYJzFLbKsRS46/s7/9KykR4WHVKoAV5l2zaNl/nQ6eyNo1Me7Z4ZVeJ7Bi3fccrTGtaztZsJI1ZgL801IRumIZgRUdhgGdCiQnIoEVOf3IY0VQP5r0BIWqJJviuTIqbgJGx02w5/BWsMK+CWUgs0t86RHnVki//5mGrKxLuKlNqQv96bPncPC3v9C5Q2nQa08lAiueUl6+XQIr8hp6qgargpUv/rcBn32znscr6XfvHeWeX99v2o53l36KsOrVEBBwOR5d13a4p2cnLjMDK88/PhDXN2nIQcjwpyeXgpUPV2P7rn0VTNGmRVMOVsqm4uIiLHh/FVKPnsCUMU+g2uWt22zLEXvGvpQ4AsFBQeXKOHqsvDZzDA7/mYa/0k6gedPG+Ne/P8Kdd3REg/p1cPLkGbRqcQMax9SvdGgQWPHUO0a+XVpjymvoqRoIrCSBwSH23wyJwIqcFQisyOlHYEVQP5r0BIWqJJtVwUqDN0Mr3E27BvFY3fvK6RF5+fn8OOCyaduOFO4G/vbc8QgJcTiFwmbjC+s/jxzDys8qRnhnJ0J8t2m7U7GH9b+bu7mzNGnWWyguFjmFIgBTxz1ur5MFQGTfyLIUGBCAG66LwfR57/K/9ejaHmHVquK3P1Px3cbtGNy39BSKG2ObIqySUyi0jwqxkgRWxHQyYy4CK2a0ilifrApW1vywFVVDQ9D+ltbw9/cvd7PsOc22AjHPXSXVCKuOWpe9eBlYiapXG+HVq6OgsAA//rLXDlbYM/Ku7vH2cus2/oSfdx4oB1YYjFm4+D/49Y80JI1/EtfUCLPnZ9uFZsxfhKqhVfDsiIEICgq0X3MEKyzmC9v6s2z1N5gz+Vk8M34OHhnUG/kFBfhyzaZyz3JHaxJYERvfZsxFa0wzWkWsTwRWCKyIjRRr5CKwImkn2gokJiBNemI6VZZLFqxE3NMDQVuTce7zNcjrcPVAgJW1r3XSEwErvn4KhfZRIVaSwIqYTmbMRWDFjFYR65NVwQq7u8++Xs+9PVylxg3ro3evLvZsO3YfQHZ2Dv+dwRcbwD1e2ElAzGNF2dbDrjOIUtZjZfsv+7Bo+X/5iUQMQlcWV4WdPLTt5xTUvKYGhj1wF265qSXfklQZWPly7Sb8/kcaRj052A5WDv91FMdPncHTj/R3emsEVlxZ3bzXaY1pXtu46pnWNaZyKhBtBXKlsLrr5LGiTi/H3ARW5PQjjxVB/WjSExSqkmxmBysKQDk+Mrtc75W/sy1MLE7MqkPL4OixwsCKL59CoX1UiJUksCKmkxlzEVgxo1XE+mRlsPLz7gNIP38lCC2DHZ9+9QP63tPNfqoiU6FO7Zq4qVUzuyBvf7AKzW9ozGHKpm278P3Gn7h3yPy3liGqfiTu6BRnz7tp204c/PUI91jZuecg5ry5mG8p2plyENWqVsV1ja8EulUKHf7rGLJzcvGP2Kb4fM0GPPPoALSPa1MpWJky5x0c+v0vvDF7LPcmZB4rK/+7lh+3/PqsMagTUbNSQxJYERvfZsxFa0wzWkWsTwRWyGNFbKRYIxeBFUk7kceKmIA06YnpVFkubwcrvnwKhfZRIVaSwIqYTmbMRWDFjFYR65OVwYrjHZ46k47nJryCt+a8iJrXlA/eXzbvt+u38WOOxzwzDK+98xHq1Y1Av3u7c7DCTgVq3LCBPTs7frlKcDAHK0VFRTh99jzq162NybP/jXZxrdGz65VAt0ohtk1p2/YUDmtY0NyIWjX4tlDmsdKpXVvUrBnOTzFiwWtfWbAEve/sgv2H/sLJs2c5ANq6I4XDm5T9v+HF5x7i3i6OicCK2Pg2Yy5aY5rRKmJ9IrBCYEVspFgjF4EVSTsRWBETkCY9MZ18Daz4+ikU2keFWEkCK2I6mTEXgRUzWkWsT74IVs6eu4gxU17FW3PH48nEmRj7zHA0aRQF9ozfu/93nEk/j5ZNr8WRy9uM2t7YHLe2bVVOUFGwUrYQAyvME4Ultt2oTUsWnLYB7u4Rj6RX3+fxuFgw3vt6dsLtneIwdtprmPD8I+ViuCj1EVgRG99mzEVrTDNaRaxPvgxWxBRyby7aCiSnN4EVOf1oK5CgfjTpCQpVSTZv9ljx9VMotI8KsZIEVsR0MmMuAitmtIpYn6wKVtKOnaxwg6fTL2DegiUY/9zDqBFercL1hlH1+NHLh34/ghOnz+LkyXQk/7ST5xvx4P8hukEk5r65BC2bNsGzjw2E8sxPHDkULZo2qQBWcvLy0CiqXoV2jp44jaDAwArBZxlY6d6lHerWqYUF73+Cpx56AEXFRQgJrgJ2ytDLbyzGfXd2wfVNohHgH4DsnBw0iq5fblsTgRWxcW3mXLTGNLN1rt43Aivmsh2BFTl7EFiR04/AiqB+NOkJCuVjYMXXT6HQPirEShJYEdPJjLnMCFYC96XAlpmBwL0p8MvMQEFsaxSHh6OwZekrpVIFrApW+j86TrUJV7w7G3sPHsZHq/+H6Ki6iKpbG/Xr1UG9yAicv5iJpPmLcHePBAy4vyf8/Px4/d98twVLVn6JyYmP8bgsSmIeK8HBgWjR9NoK/WAxU3Jy8iqAFXYMc0TNGnYPFLYNiQW5vVp66uEHEH/bPypkIY8V1eY3TQFaY5rGFKo7QmBFtWSGFiCwIicvgRU5/QisCOpHk56gUBYCK8yTxgYb5m2fwXs9Om4ifx0VN56/igSvZfl8+RQK7aNCrCSBFTGdzJjLjGBFOWHMUS+tJ46p1b2yk8ZYHY6Bs9XWq3d+q4IVdqSymlRZnJKy5fPy87Er5VfcdnP5LT8sD4Mxza5vjMCAK8c6s0C2kXVqVXoqUNqxU0g/dwE3tWmupouq8hJYUSWXqTLTGtNU5lDVGQIrquQyPDOBFTmJCazI6UdgRVA/mvQEhaokGztR51hWKqKqxyA6LMaeo89nPbDteDL6NhvM//7JwaU4lpWG1b3XoF2DK8cqG3XcsqsPOaJgxZdPodA+KsRKElgR08mMuQisVLSKq2eOWexoVbBiFv081Q8CK55SXr5dWmPKa+ipGgiseEr5ytslsCJnDwIrcvoRWBHUjyY9QaFUZPMWsOJ4y750CoUKc2vKSmBFk2ymKGRmsFJcJxIlwcHwO3Matrw8uNtjhR3hztL87Un8lTxWTDFkLd8JAivWNSGtMa1rOwIr5rIdgRU5exBYkdOPwIqgfjTpCQqlIpsCVhyLuMtjZdvxTbzpPp/15K+sXZYUbxlRjxWtYMUbTqFQYW5NWQmsaJLNFIXMDFay+w9GUcMYhH68FP5H0wisOIwY8liRfwudPJ3O47S4MxFYcafa+rZFa0x99XRnbQRW3Km267YIrLjW6Go5CKzI6UdgRVA/mvQEhVKRzdNgRemqAlAcvzUWASu+fgqFCnNrykpgRZNspihEYKWiGco+U9hV8lgxxVDVvRMHf/sLi1d+hdmTnta97qtVSGDFrXLr2hitMXWV062VEVhxq9wuGyOw4lKiq2YgsCKnH4EVQf1o0hMUSkU2bwArA4a9AFtWJhAQgOKwMKG796ZTKIRuWCITgRUJ8TxclMAKgRUPD0GPNv/0uJcx5ulh/LhmdyUCK+5SWv92aI2pv6buqpHAiruUFmuHwIqYTs5yEViR04/AiqB+NOkJCqUhmwJYHLcAKVUZFbxWqV/GYyVo80bUuu+fyG8fj/TPS7cSXS152ykUru5X9jqBFVkFPVeewAqBFc+NPs+3vGTlV6hWNRT339XVbZ0hsOI2qXVviNaYukvqtgoJrLhNaqGGCKwIyeQ0E4EVOf0IrAjqR5OeoFAaslkRrPhlZCBgfwoC96YgfEIiCmJbI2PmXJSEhfOfKemjAIEVfXT0RC0EVgiseGLcmaVNT2wHIrBiFuur7wetMdVrZpYSBFbMYonSfhBYkbMHgRU5/QisCOpHk56gUBqyWRGsBG/ZhFr3lga9LZu458oXaxBttLEAACAASURBVDWoIF/kQkYmrgkX244k35p7aiCw4h6djWiFwAqBFSPGlZXqZNuBEkcORcOoum7pNoEVt8hsSCO0xjREVrdUSmDFLTILN0JgRViqSjMSWJHTj8CKoH406QkKpSEbgRUNojkUWfFpKczpf38P+cpMVAOBFRMZQ2VXCKwQWFE5ZLwuu7u3AxFYse4QojWmdW1HYMVctiOwImcPAity+hFYEdSPJj1BoTRkszJYKQkORnGdSNjy8uB35nRprBUPeKz8ceQYFrz3CeZPH6XBAuYtQmDFvLZx1TMCKwRWXI0Rb7/u7u1AzsDK/vQUZOZlVJC7ZURrhAWHe7sZLHF/tMa0hJkq7SSBFXPZjsCKnD0IrMjpR2BFUD+a9ASF0pDNymClKLohsgcMgX9aKkJXLPMYWGGyj5o0H0891BfXNo7WYAVzFiGwYk67iPSKwAqBFZFx4u153LkdyBlYET2Bz9ttYeb7ozWmma1z9b4RWDGX7QisyNmDwIqcfgRWBPWjSU9QKA3ZCKxoEK2SIt64HYjAij5jwxO1EFhxDlYcrxwfme0JEzlts17NEJy6kIOSElN1y+OdUYKWqwlS7s7tQK7ASu3QSAT7B+Ns9mnkFeXB2Ul8HhfaBztAa0zrGp3AirlsR2BFzh4EVuT0I7AiqB9NeoJCachGYEWDaJUU8cbtQARW9BkbnqiFwAqBFU+MOyPbVIKWq9ny6c7tQK7ASt9mgxEdFoNPDi7Fsaw0AitGDhaVddMaU6VgJspOYMVExqBTgaSNQWBFUsIT53Ika/CN4jTpGWdnZ2Al4p4eCNqaXKHhc5+vQV6HBOEOuZr0GrwZyuty/NZY+fuouAk4mpmKVYeWoV2DeKzuvRbKAttMW4HYPXjbdiACK8LD3HQZCawQWDHdoJTskBawwpp013YgAiuSBvZgcVpjelB8yaZdrTGdVV8/onTtmTVmgim2k0vKYJri5LEiZwoCK3L6kceKoH406QkKpSHb5OREsOB6U+PnggXTUxKBFfViett2IAIr6seAWUoQWHFuCWcw1yy2o61AlVtCK1hx13YgAitmeQep7wetMdVrZpYSBFbMYonSfhBYkbMHgRU5/QisCOpHk56gUDpmcxdY2XZ8E+91uwblvWCs6LHibduBCKzo+IZyc1UEVgisuHnIGd6cVrAiuh0o9OOlCFmxHDn9B/Gg6GoTgRW1ipknP60xzWMLtT0hsKJWMWPzE1iR05fAipx+BFYE9aNJT1AoHbMpYCW7/2AUNYwBW3T6H02D3luBnHXZimCF3cvol+bjyeHecToQgRUd31BurorAinawwrZH2mDDqt5r3Gy10ubIY6Vy2bWCFVabyHag6nOSwP6zrQHsv9pEYEWtYubJT2tM89hCbU8IrKhVzNj8BFbk9PUasFJcXILzFzMRFBiAsOpVK1WF5WH//P38Klxn186eu4CImuHw9/evcD3rUg4KCwtxTXj1ctcoxorYAKRJT0wnPXMRWNGmpjdtByKwom0MmKEUgRXtYMXTW4UIrOgPVth2oKqhIfi/u293OjAIrJjhyeWZPtAa0zO669EqgRU9VNSvDgIrclp6BVjZ9st+PDvpDVzKzuVqxN3YDC888QBaNm1sV6ekpART5n3If5/6wvByqm38cQ8Sp71tLz951FD0u6cLz5Odk4uxSQvxw+ad/Pc2La7F6zOe4QCGJQIrYgOQJj0xnfTMRWBFm5retB2IwIq2MWCGUgRWCKyYYRzq2QcZjxXH7UA7dh/ALTe24N1TtgAFHE3lQSyZh2ZhdIzqLUHksaKntd1bF60x3au3nq0RWNFTTfm6CKzIaegVYOWnnQdx5twFdLqtDXLy8jFt/mIwkPLWrOe5Oms37MCM15bi/IVM9LmrUzmwkpubj4T7n8HI4b0x6P47sH7rbg5p1n48F1H1auO9j77Gqq82YMnrExASEownxs5Hk5h6mJb4EIEVFWOPJj0VYumUlcCKdiG9ZTsQgRXtY8DTJQmsEFjx9BjUu30ZsML68tioGbjh2hjs2L0fr0wdhaj6dXgXFU8Vx/6q3RJEYEVvi7uvPlpjuk9rvVsisKK3onL1EViR088rwIqjBF+u24pxSQuR8v17fFtPTm4eMrMu4dWFqxEcHFgOrDBvlSfHvYpd6xbxbUQs9RoyDgN738FBS98Rk9GjcxweGdjLDmlGTVmAfes/gM1mI48VwfFHk56gUDpmI7CiXUxv2Q5EYEX7GPB0SQIr6sGKsgWobEnliHd32pO2AlWuthawknbsJL5etxk7dh1Adk4Or7hrx1swYuj/2RshsOLO0W3OtmiNaU67iPSKwIqISu7LQ2BFTmuvBCsvzlyIw0eOY9XCqeXUmf7qEhQWFZUDK6u+3IAPP1mDr5fOtud9euLraBxdF6Me64e4Ox/HjLEPo3unW/j1A7+lctiy7csFPJYLbQUSG4A06YnppGcuBawUxLZGcXgNBO7bA7+MDApeKyCyt2wHIrAiYGyTZiGw4twwLDgtS6t7ry2XicCKSQfz5W5pASvKHf3vuy347zcbkJGVVc5bhV1XwAqb69j/wH0p/D95rJh7POjZO1pj6qmme+sisOJevV21RmDFlUJXv+51YEXxVlk0LxHt2rZ0CVbYVp81G7aXgzAs3krVqiFgsVZiuwzHW7Of59uMWPrjyAncM2w8vls5D/Uia8mpT6VJASMV6NwZ2LixYgvr1wPsmsHJNtXGW5jcaTKOXDyCxXsWo1NMJ2wYtgHYsAHo0gWIiQGGDQOOHAEWLwY6dSq9ZoI09NnZeHHkADS7PsYEvaEukAImUEB5pgwdCjRqBHz4IZCaCrjpmeJKgas+c1wVpuvGK6A89zU+5y/mXsRbn6zCnd1vwY11b7zS3ylTgKlTS+cPNkZZO2zumzwZYNckU+cPO2Nj6kYMbTMUjWo0wod7PkTqxVSsH7oenRsZP5dKdp+KkwLeqYCtdI3J3+cmXEN6p+h0V64U8CqwsnXHPjya+AoHIkrw2bICaPVYSRr3CLol3MyrIo8VV0Oq8uv0bYI23WRKKccrK6/KscvKq2jdWr9NkDlueX96CqYkj6nQxRYRrTA1fq5o16XyOW4HSj93ERG1akjV6e7C5LHibsX1a+9qHiuZeRlg75Gw4HC0jGitX6MuatJre6FRHb7aM8eoNiur15e3AtWPCOWSnEjPtkvDAsqGrlzOA8uy+YgFl80eMARFUdH8VUnMyyRswhgUxrZCRlLF5/y245vQ57OecNzepXis5HeIR16HBDDPmKAtyW7zWOFz7LGjFYZC9gOD+L1SMl4BWmMar7FRLWhdYyrPGuaZxp8tK5Yhv3080r8o78loVL+9tV7yWJGzrNeAFRaglsU+YRDkvp4dK1WlMrCixFjZvW4RAi/HWOk5MBFD+vSwx1jp2TkOD1OMFamRRpOelHxShZUPQ+c+X8MXnWqT1klPBqwoC2jHvjouqF0txNXea9n8bDvQq28vxy3/aIGfftmLBXNe5HGVrJQIrFjJWuX7ejWw4uwDptF3S2BFTGECK+XBirIFyFE9xw9BrrYKmRWsKO8Lx/vTOueKjTLKVVYBWmNadzxoXWMSWDHG5gRW5HT1CrDyxdoteHHWuxg3ciC6drzJrsg14dUQGlIFRcXFKC4q5icDFRYWYcroYTyorZ+fjQe2vbnnYxg7ciAG9b69wqlAiz76GqsvnwoUGhKMx+lUIE0jjiY9TbLpUsjKYKV2aCQ6N+yGs9mnsSFtXYVvKl0txLUIuGvvr0jZ/xsPlph+/gKvYnDfXrire7yW6jxahsCKR+WXapzAinr5yGNFvWZ6l6jMY0UWrCgejBl5F+2eWrERbdC32SD0az7EHmPFUx4rBFb0HkXq66M1pnrNzFKCwIpZLFHaDwIrcvbwCrDCPFFWfP5DBSVY0Nne/4zHJ1+sx9T5i8tdnz7mIdx/Z+m39+u37MLICa/Zr0987kEMuK8r//1Sdi4Sp7+Njdv28N9jmzXGGzOeRZ2I0i0BFLxWbADSpCemkxG5rAxWoqo35Avno5mpWHVomVvACrPBr4dT+UkU23fuRZXgIHzwxlTLeauw+yCwYsQ7yj11ElhRrzOBFfWa6VVCASpl61M8UhSwUhwWjsJWrWHLyODBZUU9Vpx5MI6Km4DRcRMIrOhlRAvXQ2tM6xqPwIq5bEdgRc4eXgFW5CQoLc28Wk6dOY86tWrYtwSVrZcd15xfUIiImuHlmiOwIqY+TXpiOhmRi8CKdlXXJ+/ApZxcS3qreBqs8DgHWzcjv31HTVvQtFvNO0rKgBW239z/WBqKohrqGuOBtgKJjS1f3AokAlaKohvymCrO4iE480BUwIriwcg8WA6kp4DAith49IVctMa0rpVlwUplMNe6ani+5wRW5GxAYEVOP/JYEdSPJj1BoQzIRmBFu6jztidh/vYk+wJee02eKelJjxUloKTaI089o5T5WpUBK0ZpT2BFbJwQWCnVydFjxRlY8cvIQMD+FATuTUH4hER+ZHLGzLkoCQvnPytgRfFgZL9vO57sdrDCtqXWqVoX61O/5dtTV/deg3YNErj3jV/GRYRNSETgvr3ImDGHe+YUxLZBcXj5L+PERhDlUquAL68xjXreq7WB1vwEVrQqZ0w5AityuhJYkdOPwIqgfr486QlKZFg2AivapTUarLAFuS0zA4UtWxuyACewot32ni5JYEW9BWgrkHrN9CpxtUCSiieKM7DiKgaLWcCKo1YKWFH+LjvX6mULX6zHl9eY3g5W2POhxGbjoJaS8QoQWJHTmMCKnH4EVgT18+VJT1Aiw7LJLva0fpugx6lAnoqxwmK6HMtKwyeHluGTg0t5nJd+zQbzo23ZEbd6JVnbuOoHgRVXCpn3OoEV9bYRAStGniSm9NiXPVYqO/qUwIr6sUwl1Cngy2tMT4OVPp/14B5kjqBR1IKu1piVBcQWrZvyqVeAwIp6zcqWILAipx+BFUH9fHnSE5TIsGyyH95dTXrOOm5lsKJ4qjjem9aFgzONXNlG0fD4yGxN44PAiibZTFGIwIp6M4iAFSNOEnPsKYGVVISuWCa8FcjsHiuTkxP5aUT7z6YgMz8DLSJaITy4BqbGz+WwXUmunufqRzSVEFXAl9eYrsCKK89b5Ysk9kVWdFiMXXIFmLhaBxFYER2l1shHYEXOTgRW5PQjsCKony9PeoISGZZNdrHny2CFeaeEBYXz/fR5RXmav5FRC1bYQsgGG+Ztn8GLjo6byF9HxY1XNU48AVaUoLVBmzeB/ZzXIQH5HRMoiK0qywEEVlQKBuBqYIUHTF25vDRw6sdLeVBfFki1KCqav+qZCKxUDlYcNVZisLAYK4H79iCAxViZOAYFsa2QmTQXxeE1TBFjRek3gyuZeRfRMqJNpZ6LsnOtnmPQ1+ry5TWmLFhxBl48DVYqC4jNxvWJdG1fNPnae0Lr/RJY0apcaTkCK3L6EVgR1M+XJz1BiQzLJrvY82Ww0q5BPA9OyLYDsa1B7vJYUT4gOg4KtZ4rVwMrpUdYL0dU9Wi+1UmvpCzyHOujILbqFCawok4vllvES87Zh3v1rTkvQWBFHVhRlHR1KpCngteKjg3ZuVa0HcpXUQFfXmMaDVb6NhvMPVmcrYOM8lghsOKZdzqBFTndCazI6UdgRVA/X570BCUyLBv7dtb/aBqy+w/WdPQqgRXPgRUGdlhi+5dZ0hOsKAEhWRure6/VbfwRWNFHSgIr6nVUwAoDhWcuncKGtHVQxrer7SbqW7MmWGGn7gTs24vMpDncG0SvdLXgtaJtEFgRVco78uXm5WHr9hTcelMsqlYNkbopd60xf/8zDVlZl3BTm+a8v6fPnsPB3/5C5w43S/VfprAzsMJACPvy5GhWKtgXKQyORFePQd9mg8p9meLKY4XAiox1rFeWwIqczQisyOlHYEVQP3dNeoLdoWwqFCCw4jmwMipuArcUO/LZamCFnQDCtluwrRcM7JHHioo3HWgrkDq1SnNX5unlCFaKw8L5Ubg2vv0kxR4HREt7zsqY2WPFKK8KPcCKsiVI2QKk6OvpU4FEx4Zy7DIds+xasT/+OorX3v0YZ86ex1MPP4Do+pG8kJ+fDQ2j6tkr+PPIMaz8bF2FCpteH4PvNm23/93PBvjZbCgsLuF/G9b/bsTd1JL/PGnWWyguLnbZqQD/AEwd97g93x9HjiE3N4//HhgQgBuui8H0ee/yv/Xo2h5h1aritz9T8d3G7Rjc906e78bYpgirXtVlW3pmcAZWnMWKY+uK0ZfXFqwfrsBKadD+GtifvgeZeRkVPHeN9lhhaweW2H2yRFuB9Bw9FesisCKnL4EVOf0IrAjqR2BFUCgTZpMFK2VvyfFDjrPjNx0X0qXbVpbZv31WTvbwy7jIPxwVh4eDLWZz+g/SJV6CstDw9FYgK4OV/A7xPL4Kj7myJZnAisr3NnmsqBRMEKw4e+aob815CQIr5bcCyWqrzAe1QyPRJaY79p/dw4PJKh8QlQ+Wss8cfz8bIsKDcfpCrmyXqXwlCuTl52PvgcPYvms/Nm39BSFVghEYGGjPmZn1N//bB29Mtf/t/IUM7Dv0Z4XaGjaIREkpQ8HJM2fxxsIVeGXyU8gv8uN/i6gVjurVSgEHaw+X87LfN2zegTPnzqPfvT0q1KvAGHZhQtKbOHHqLEJCQpCTk4OkiU9j1MRXUC+yNi5mZKJn1w7YuG0nrgmvBgZhbm7TEkMH3IXata5xq/21ghX2vtp2fDPY69bjm9C+QQLf+sw8Wph3i1lirBBYcetwAoEVOb0JrMjpR2BFUD8CK4JCmTCbGcGKM7d+vbwiCKxoH4h6fcjR3gPvKKkFrHDvoGNpCP14GQ/QyoKyZg8YjKKoUu8h2aR4O+Td3g1Fdeqiyvffwu/MaZz7fA2HaJ5O7IMAS8rWOQZG2bet7PQWV0f+6tl3AivGgBVHGzmCFba1qaBVGwTu3cOBu9r5gMCKnu+C8nWtT96Bd5b8h/8x7h+x6NblNrRsei33UGGJAQwGMgb07onuXduVK3zsxBkUFhaW+1vDqLrYsOUXpB49ifTzF7BzzyHc26MjcvKLENUgEt063er0Zp6fOA+3J9yCu7pf/ZnF+tOrezwHJTNffQ/durTD7r2/4uFB92L2ax9g3LMPYfLLb2Ph/EmY/PK/0b93d9zatpVxIjrU7GrbrSuPFVenHxJYcZspTdUQgRU5cxBYkdOPwIqgfgRWBIUyYTYCK7QVSM2wJLCiRi3nebWAFVcLbdmeKWDFsR6zgBWlX5UdU+7rYMWZ7fRyq68s0KRy6o/suFM8VlyBFcfrBFZkldev/LnzGVi/eQc6dbgZx0+cxrLVX2PS6BEID6sGBk7mvPkhourWwQsjh9phi9L6k2Nm4/yFi+U68/5rU/DvD1fjQkYmmsREIcDfD4H+Nhz68xiCA4Pw4vPDUVhYhP2H/ihX7vzFDLyz+D94sN9daFCvToUbtNlsiG3eBH5+/hz0lAUrk0Y/isysS4htfh0++s8adI2/GSn7f8ed3Tpi64493Pvmlhtb6Ceai5pcPe9LPVGSuUcKg82KB277y0H5FbCiHLNceurVla0+LEbL0aw0e9BaJdZKv8vBbEXBiytBnK0xy24vZHXQViBXSupzncCKnI4EVuT0I7AiqB+BFUGhTJhNK1iR+ZDjaiuQ8iGpuE4kcrt2499OavmG0pnc3uyxwhZObAHF/k9OTrR/o8+Olmbf7ssmAiuyCpaWNyNYYYFPA/emVLjBjJlzdQ2EKqugDFjR47QsM3qsWBmsKM+qjLyLOJC+F2FB4WhZuzXYBzwWqJh5ZzEvLf+jpfGceHynaHac9mBVW0PJY0X2nSdWPj+/AEnz30NhUSFaNr8OX/xvA7p2vAUPDboPAQH+FSphYOWJ4X1wbaMoHt/kyTGzwMHK4v+AbQnqcXt7VAn0R0iwH/67dhv27v+Dg5VLl3Lw/KR5KCgosNeZczlmCttyxJLj7+xv/0pK5MDHEay88NSDWLTsv05vMrJ2TYx7driYCDrkcgVWlCacxVBR/s7m/vDgGjhz6TTyinKFY6i4C6wo3pBs3ceSXjBYBxN4ZRUEVuTMSmBFTj8CK4L6EVgRFMqE2cwMVpR4CXrH8TAarPCTmo4d5R8I2PYNtmWDbdXIShzPR0DZY2PZ73oGr3X27a/a04FYoMmA/SkoCWPxba4AGQIr+ryJZcAKC9BaEh7OA7T6ZWao3hKhzx14rhZlS1DZ065EPVb0OC3LF8GKYm3lW2YjPvyUQuE9PJCmHhDYcYQSWDH2PXv4rzT89sdRHDtxmp+kc/L0WTS9thHu7dUZp06lo1q1qkho949Kwcrzjw/E9U0achAy/OnJpWDlw9XYvmsfz29j/2xAcUkJ2rRoysFK2VRcXIQF769C6tETmDLmCVS7fArRhx9/AXbSz0uJIxAcFFSujCNYeW3mGBz+Mw1/pZ1A86aN8a9/f4Q77+iIBvXr4OTJM2jV4gY0jqlvrIhlaheda12BFccOr+69hsdaUZKz4LTK312dGuRKEFceK47ljXi2uOqjL10nsCJnbQIrcvoRWBHUj8CKoFAmzEZgRf+tQK6+PXYHWAn2DwYLBplXlIez2aftgYFFh6Czo1FFF3ui7fhqPhmw4iyIJ/PGOJaVVkFSxRXcm7UWPW7Z02DFWSBK2W1YSvns/oM5xDXKrd5IsGL0+DQarDCvSltmBgpbtuYB15VU2WlW7NrxkdlG37Jb69/84258t+kn1I+M4CfsNLuuMfILCvDO4tU8+Gufu+/AbTeXxihhJ/TUjazFf2YeK1H1aiO8enUUFBbgx1/22sEKq+eu7vFQ1pgrv0rGzzsPlAMrDMYsXPwf/PpHGpLGP4lraoTZ75ttF5oxfxGqhlbBsyMGIijoSjBdR7DCguqyrT/LVn+DOZOfxTPj5+CRQb35PXy5ZlO5E4XcIazoXGs0WOncsBvqVK2L9anf8rWEI5hxpYWzNabyjFJelSC2yqureum6NgUIrGjTTSlFYEVOPwIrgvoRWBEUyoTZCKx4J1hhH6aZG73jiUuiQ9AVWGEfHErCa8CWcRHMu0VtvAPRfnhrvsrACtsSMSV5DNiWCPYzc+GOjWjDT3FgtnS10HYVzNCZa7nZYqhosbkrsKLnFjkZjxVZsOLs22UCK65HjVFgRQEq4eMT+ZbVjKS5KGjVmh/1zZKvgBV2r8xz5OiJMzj851H8+vsRbPpxJz8JqGxiIISdvPPqjNH8zzt2H0B2dg7/Ob+gECzcbecON+P1hR9zjxVWnsVGYR4rl7Jzy3msbP9lHxYt/y/YiUPsKOTK4qqwk4e2/ZyCmtfUwLAH7sItN7Xk9VUGVr5cuwm//5GGUU8OtoOVw38dxfFTZ/D0I/1dDzIdc7h63itNsVgpnxxaZt86p/y9FLSnYuXBZfzUReZ58kDzwWgZ0YbPLWXLs1grSmwV5e9GbwVS2rEyrNXR3G6risCKnNQEVuT0I7AiqB+BFUGhTJjNSLCiHJOsHJusBDsUjbFi1a1AyocctoWGbdlgxxGzpLi4usNjxWiw4jiUCayoe3NXBlZEg3gyj4TC6BgEsJgTaal2qFV2Tz2LU5GZn8GDFTqeruLYU28AK67U12uLHGuHwIo14yAYBVbc5aHoaox7+jrzSmGwgiUWL6V1ixvQ4dY2iKofae/ajz/vxb/eWY4Xn30IbWJv4H9/+4NVaH5DYw5TNm3bhe83/sS9Q+a/tYyXvaNTHIID/RAS7I8v1v2Eg78e4R4rO/ccxJw3F+Oenp2wM+UgqlWtiusaR1WQ4fBfx5Cdk4t/xDbF52s24JlHB6B9XJtKwcqUOe/g0O9/4Y3ZYzF93rvcY2Xlf9dyj5vXZ41BnYiabpNZFKy46pAzjxZX5QisuFLImtcJrMjZjcCKnH4EVgT1I7AiKJQJsxkJVhxv19fAijO3fCuDFfZBnn2gD2FH/q5YBnaPOQMG8w/6ehz5a8K3iCFduhpYKQ003IZ/28i+dXQFRhSo5Rg7SDktwlV5XwIrslvkjAYryjODx2c6mlbhqGvyWNH+diSwol070ZKHfj+Chg3qws/fhjFTX8Nd3eLRvUs7FBcXY/3mn/Hu0k8xbMA96Nm1vb3Kb9dv48ccj3lmGF575yPUqxuBfvd252CFnQrUuGGD0lOBAmw4dPgYqgQHc7BSVFSE02fPo37d2pg8+99oF9e6XL1KA2t+2Ipt21M4rDl+8gwiatXg8VYYBOrUri1q1gzHgvdWggWvfWXBEvS+swv2H/oLJ8+exU2tmmHrjhQOb1L2/4YXn3uIe7u4I+kFVpTTg5TTgkT7zoLf80D4Z1M4pG8R0YoHwWXH26uJgeRqjUkeK6IW0ScfgRU5HQmsyOlHYEVQPwIrgkKZMJurSc9Vlys7oYN9+GYfupVXxfNEeXX17bFjIEqrBa915ZZvZbDiajwwt+RVh5ZXyKZsZ3FV3leua/FYUd4HwZs3IWhrMt9qkNcxAUrMFVGwouR39uHdG23gyktOzT0b6bHCTkIrqVIFfqdPw5aXS2BFjWFc5DUarHDbBQdzIMaS3h6KOkrhlqrYFp95C5Zg4P09se3nvTh1Jh2PPng/2t/Splz7Z89dxJgpr+KtuePxZOJMjH1mOJo0isK+Q4exd//vOJN+Hje2vB5px04gL78YbW9sjlvblsZqUZIoWClbhoEV5onCEttu1KYlC07bAHf3iEfSq+/jzyPHEBISgvt6dsLtneIwdtprmPD8I+ViuBgppF5gRbaPyrHMjluFROt1tcYksCKqpD75CKzI6UhgRU4/AiuC+hFYERTKhNlcTXquulwZWFHKOIvTQWAllEvEPAlYMuJUIKO2ArkaD67ifLgq7yvXtYAVRRvFa8jRS4jAivPRYxWw4ngHijcR++aYbetSvkVWvjVm3xwzvpEzxgAAIABJREFUDydXMFev95WVPwQZDVZkPRSvNpfqZT8j62GBYlmslL+zc3Dk6An8djgVzFuEpU7t22Lg//2TH3NcNl3MyALzcjlx+ixOnkxH8k87+eURD/4fohtEYu6bS9CyaROMfXoIvlq7Ecs/XYfEkUPRommTcvUwsJKTl4dGUfUq3OLRE6cRFBhYIfgsAyvMm6ZunVpY8P4neOqhB1BUXISQ4Co8VszLbyzGfXd2wfVNonmw3eycHDSKro+ql08cMlJLVrdZwIrsfbpaY1r5mSKrjSfKE1iRU53Aipx+BFYE9SOwIiiUCbO5mvSM6DKBlVKwwgKSssS+EWJJ7SkRNaoFIb+gCNl5RXYzyX6AdBYEVDSGivLhvkVEa+4uzD4QHkhPsW9nMWI8WbFOZ8Fr2QdnFrz2QPpesDgpLWu3rhCU0Nn9ElhxPhJk3xdlazbCY4UFPWWxqMImsACoe5ExYw4KW7VGQWwbfsKMq3gH7gIrVnyvKX32NFhRjrhlY7Gy572VwcoX/9uAjz5dYx8edWrXRJOGDRDXNhb/aNWsQgBbJePeg4fx0er/ITqqLqLq1kb9enVQLzIC5y9mImn+ItzdIwED7u+J0CqBCA32x7LP1mPJyi8xOfExHpdFSQysBAcHokXTaysMURYzJScnrwJYYccwR9SsYfdAYduQWJDbq6WnHn4A8bdVPDLaiPeFr4AV9uxiKf2LtUbISHU6KEBgRW5IEFiR04/AiqB+BFYEhTJhNk+AFUUGZ0ef+spWIMfh4E1gpV2DeLAPEo5xPkz4FvBIl7Qct+yqowRWPA9WlK1wzra+OTsVSOm5Akgc494oYIUdoc7ixLBjT9lR6srRpwRWXL07AE+DFWfP+1LQYuPwjKXVvUs/YLJnqFUSCw578nQ6hxQ1wqrBz89Pqut5+fnYlfKr/XjmsmtMBmOaXd8YgQH+9jZYINvIOrUqPRUo7dgppJ+7gJvaNJfqk7PCzjxzZRvzFbAiqxOVV6cAgRV1ejnmJrAipx+BFUH9CKwICmXCbARWjDtu2ZVrOIEV7W8IZWuEshVCe02eKXk1sMIC1rLjM6MvH5kt2kNRsKKcKhS4bw8/KtuXgtfKbpFjtriax4qrEzhkwQo7MjU6LIZ7uR3LSqsAVhzHihLnQ3QMeXM+s4IVXzqOWev4MvMa02iw4qiZqPeoVq31LufJNabe9+IN9RFYkbMigRU5/QisCOpn5klP8BZ8NpsnJz1f9VhRvpncdrz0GGblm0nlm0rRwWjkViCtR127+nAvem+u8jk7HcVVObNcvxpY0dpHV9orH+od6/clsOJ47+y9p/Z9pwWs8MDDWzcjaPMmsJ/zOiQgv2MCsh8YVO40LVceKwRWtL47POexwt6XLCmxtJTYWqMvx9hSwAqDfiwxYMaSWg9G7cqYv6SZ15gEVq4+fjy5xjT/yHZ/DwmsyGlOYEVOPwIrgvqZedITvAWfzebJSc9XwYoy2GT31BNYSbZ/Y+/uNzD7AFxis3FvDy3JE2DF2alCimeVlvuwShlXcZ3U3IcWsCIKtVyBlVIPrRrYn76HB7NVtgIp/XdWXs39eWteT3msuHre63VKnLfajd2X6BrzxOl01I+McKsURoEVt96EgY15co1p4G1ZtmoCK3KmI7Aipx+BFUH9RCc9weoomxsV8OSkR2ClNIit1m8mZcCKs8WgbHwbV14Teg1tT3usyJ5k4AmwomjvajuKXjYyUz3eAlYcNSWwIj7KCKyIa2W2nKJrzClz3sG9/+yMf7Rq6rZbILBydak9ucZ02yCwUEMEVuSM5TVgpbi4hEcJDwoMQFj1qpWqkn4+A1VDq1QafZyVP3vuAiJqhsPf/0rAK6WirEs5KCwsxDXh1cvVfeJcjpwFfKS06KTnI3JY6jY9OekRWPFesMLiQERVj8GxrFSwmCHM/V1xfdfjDeIpsMKgBGw2VH95Br+NrLETURQVjewBpSc8iSYCK6JK6ZvP2TNHTStaPFZEoZZyOpByGpBSztWpQEo+8lhxbkkCK2pGubnyiq4xv1m3GcdOnMGIofe77QYIrBBYcdtg06EhAityInoFWNn2y348O+kNXMrO5WrE3dgMLzzxAFo2LT1qLe34aTwx7lUcOXqK//5/vRLw0vNDEXA5YvjGH/cgcdrb9vKTRw1Fv3u68LwskvnYpIX4YfNO/nubFtfi9RnPcADDEoEVsQEoOumJ1Ua53KkAgRX3B69V7OuJrUDsg1vYhDH8aFf2MzvKlX2IK4xthYykuTz+Q617e0I2xorjGDYbWFEASVbieFVvN8VTpWyh/Pbxqo+KNBKsuNLeFz1WFE2MAivKaUBHL4NEBhajq8fA8XQgrdqz+o9mpdmD1iqxVvpdDmar3F84O655bwoyZs5FQWxrVWPb2zMbDVaY3sXhNfgzlK8f07OFJFXmgX7NS+EsszVLWj0ZhRq1WCbRNeaZ9POYmPQWFr460fA79E9LRejK5eCvHy/lsZIYYNcC2g3vrAcb8OQa04O3bdqmCazImcYrwMpPOw/izLkL6HRbG+Tk5WPa/MUoKSnBW7Oe5+qMGDMP1UKrYOa4R3Hy7Hk88NgUTHr+QdzdrT1yc/ORcP8zGDm8NwbdfwfWb93NIc3aj+ciql5tvPfR11j11QYseX0CQkKC8cTY+WgSUw/TEh8isKJi7IlOeiqqpKxuUsCTk56z009kP9y7ks5xu4rjCRuuyru6Lnr0qSfAiqKt4z0ocEBWe0VbVx/uXWno6rqsx4rWrTwEVlxZxtzXjQIrouNeK1hRVJUd9+a2jrG9MxqsOPZeLVhxLE9g5YoiataY7toO5GouNXY0W6d2T64xraOS+3pKYEVOa68AK44SfLluK8YlLUTK9+9xL5R2dz+F5W9OxI2x1/GsSa8tw6mz5/HGjGfAvFWeHPcqdq1bxLcRsdRryDgM7H0HBy19R0xGj85xeGRgL35t7YYdGDVlAfat/wA2m408VgTHn5pJT7BKyuYmBcw46cl+uHclHYGVnhUk0gussA+uW48ng72yU4/YqSvtGiSg/eVXV7YRve7qA6ar67JgJb9DPGwZGdzrhzxWRK3m+XyeBiuyCrga17L1e3N5o8AK81bwP5rGvRbYqxIMmh2LK5K84bhl9iUJO82InWzEvLX0TmrWmO7aDkRgRczKZlxjivXcO3MRWJGzq1eClRdnLsThI8exauFU/HHkBO4ZNh4b/vMv1K5Vg6u1dPW3+OLbLfz6qi834MNP1uDrpbPtSj498XU0jq6LUY/1Q9ydj2PG2IfRvdMt/PqB31I5bNn25QIey4W2AokNQDWTnliNlMtdCphx0iOwImZ9LcFrFW2L60Qit2s3+J85jeAf1tnhgF7aK/BK7y1AijKuPmC6ui4LVtiHJu4CvmKZacCKoo0r7WW9JsRGpzlzOfOSU9NbmRgratqpLK+rcS1bvzeXNwqsKJppjW/DbFpZUnsMuCdt5+qZI9s3NWtMth1owowFePdfk2SbvWp5+1waFo7CVq2lQLuhHfVw5WZcY3pYEo82T2BFTn6vAyuKt8qieYlo17Yldu87jEEjZ9hBCJOLwZS3l3yBH1bN51t91mzYziGLkli8lapVQ8BircR2GY63Zj/PtxmxpICa71bOQ73IWjiXmSdnAR8pHRToj+BAP2RlF/jIHXvPbYYE+8MGG7LzCk1zU4GbNyGsV3eUVKmCkjqRfMFiy7iInHETkf2i/N7pOdtmYM6PM9AhKoH///jAUh5g9fO+3/LfZVNYr24I3JyMvIFDUNwwBiGzSwOdnssojROlJNYPlsa003ZP1UICUVBYjLyCInudW45twr2ruvNvDQe0GIK0zFSsOLAU7aPi8UXfdVC0Zf1i/fNLS0XwR0tR0DEemV9fuS6rvaLxmNsmar6/yuwwYcML2Hc2hf/PyLuI2NptEB4cjqTOc/nP+86yY2gzMZ7n24Okzq+gVe02/P7LplrhVSq1iSvbK+XYWHTUzlXZstfDqwbhUm4hCouK1RQTyutK++DlSxH80RLkDXwQeYPUBd0V6oCXZ6pZPRgX/s5DSUnFG3Wlvaw096zqhq3HknV7Vsn2x0rl/fxsCK8aiAtZ+Vbqtqn7+vH+pXx+YfMnm2sasthCYTHo32IIBrTU79mido05cebb6N2rK9q2Me50IFdzqakN58bOmXGN6cbbN11TtcKCTdcnK3XIq8DK1h378GjiKxyIKMFnFRCy8dPX7AFn1XqsJI17BN0SbuZ2dfRYKfuBxUqGd3df/Ww2sG+DCgz4kODue/G19vz9/GADUFis/wc8rVr6bdyIwG63VyheNOklFE56SWu19nIzkqeB/U9o2AkJMZ2wNGUxUjNS8e2g7/nvSnph3SiknNmDuXfMR5vIUvhaNjm7HnhHV/ht2oTiBx9ESUwj+E+fxovl5esLrwL8/Xi8qaLiK5/wNqVuRPfltyMmPAZDWg9FasYRLE1ZgviGCVg3+Aco2pbExKD4waGwpR6B35IlKE5IQMF3V6473qta7RWNJ8a/BPZfr9RtWVckp5UGhyybFNs5u547vrz2wUGlW0PV2kQpx/Rw1E7NPQYF+KGgqITbT+/EbJ56MRUxNWIQE95I7+p9vr7gQP9yMLOsIEaNe6UNZXw7Pqt83igCArAvEAID/JBfeAVECxSjLFdRQBnvjln0fu6rXWN++s1GpB47g+dH9BWyX8D0aSix2VA0UdzLxdVcKtSwD2Qy4xrTB2R3eots/qKkXQGvAStK7BMGQe7r2dGuSGbWpQoxVmb8aylOp18oF2Nl97pFCLwcY6XnwEQM6dPDHmOlZ+c4PEwxVrSPMgBq3DSlGqLCuitgRjdNPx67Yg8C9qYgfOIYFMS2QmbSXBRGx/DI+7JJNMaKK7d7Z9dFg9fK3ofMViDl1B/H7Sx6aW+Ua7iieeeG3VA7NBIb0tbhbPZprO69hsdycXYsrWMgSG/eCiQ7rqj81RWgrUDWHCFGbwWypipyvVae8y0iWqNlRGvsT0/BgfQU6L0FVO0a8+y5Cxg//U3h7UBa5gPHbbMyW0PlrGDu0mZcY5pbMWN7R1uB5PT1CrDyxdoteHHWuxg3ciC6drzp/9u7DzgpyvuP4z844OCQO1Sa0mL8x6BS0iQ2FCvYxaACgmKJosEGOVRAwYJREFTsxA4KCBG7IHYUbDGhqTGJkRqFU7lDkAPu+L9+zzmbY+/25tmd2d1ndz+TV14IO+WZ9292Z/a7zzwTEdm1aBcpaNJYfv/HCWY8lHFXXVDjqUA/bCmX3/S+SK4aOkDO6nNUjacCPfjkizL7x6cCFTTJlyE8FSihIy7ek15CG2GhpAi4fNLzLlwSGRy0LiyClf89TjnWxWBQ+2QHK9H19YKVMQuKzcX98vVLpGxrqezXoosU5TeX6PEKErmQ1m16y7k8xkpSPihYaUSAYCUzDwaClfDrFn0u9QYtT3ewont6/YQH5OTePeWXXfxvB0rkfECwYnc8uXyNabcH2TUXwUqwemZFsHLj7Y/LjGdfryGhg872Oa6H/GfVV3LxVRNl1dr1Zh7t0TJ2+OBID5U33v2bDB11Z2T50VecLf1PPdL8XZ8qVHzjffLWosXm75077SV33XS5tGpRNRAug9faHYAEK3ZOLs7l8kkv6Jf7WN4EK8kPVpJ1rMfqkeIFK9526+pNpF2+9djSqfyQqjF1vnl2rlWTCVasmLJ6prqClaqno6yQds2qxpoIe/LrRRf29rJpfQQr4VfT5WAlnqcDEayEf2x4a3T5GjN5e+3umglWgtUmK4IVWwK9/WeXgibStKBqUMLqU0VlpXy17ltptXvzSOBS/XW9pWjrtu2RcVq81whW7PQJVuycXJzL5ZOePsq2aGSxbOvSVUrHTQiNj2Ald4MV7wI6+mBaW7J5p3/S27k0gIkOXLzlN/cfJHnrvpL81/73RKV4DtCWRfmyYdM2M/gwU2YJ1BWsZNae5FZrCVbCr7fLwUo8twMRrIR/bBCsJM80yJoJVoLoieRUsBKMqvalCVbsVAlW7JxcnMvlYCVZXgQrmRuseMeE3y/3sV63DVZiXWjXtnwit6oRrCTr3Z389RKsJN84GVsgWAlf1eVgRffW73Yg2/OB9nDUoF0/670p8rjlVq1ly1HHBgraw6+MO2vMxWtMd/RrtoRgJVh1CFaC+XErkKUfwYollIOz5eJJj2CFYCX6rRjdYyVWsKI9WXRqtHCB+VMvtBPpUUWw4uCHoWWTCFYsoRybjWAl/IK4Hqz43Q5kG6zUdj7wgpVo1USC9vAr484ac/Ea0x19gpWwa0GwElCUHit2gAQrdk4uzpWLJ72gwYoOjlpWXireQKnX95hgnoig/y/MLxLvqUDlRx0jFa3aSMH0qab00V/egx4PdT0VKD+vsbRq2lq2bN9inppzUNseZgBX2wH3kjW+TdB99pZPV48Vb/uJdB2vvu8EK2EdCalfD8FK6s3D2CLBShiKO6/D9WDF73agIMGKd6tyvbIN0nDZUqksLJLtnbsmFLSHXxl31piL15ju6BOshF0LgpWAogQrdoAEK3ZOLs6Viye9oMGK3wCqXrASXe9UBivR2yZYqRLxBq2N9vEGsbUNTghWXPw0S02bCFZS4xz2VghWwhYVcT1Y0T2ufjvQX//+ifz6F/tFIKoPRq7/2Gz8OPOabQ9G75yy+ym9Te/FkufmhY+c4WvMxWtMl0vGrUDBqkOwEsyPW4Es/QhWLKEcnC0XT3rJDlaKRhVLw6VLpMGyJVK/rFS2de4iOwqbh37RVVePFb9gZUd+Y6ls3Vrqbdki9dd9nXEXhYn2WLF9C/oFJ36v+22HHit+Qu6+TrDibm3qahnBSvh1y4Rg5YHHZstn/1whpWUb5ZTjepr/RwfoG0eMMv8UHax4Y6t4t4BqcLKjsEi2de4aPmaWrjEXrzFdLiXBSrDqEKwE8yNYsfQjWLGEcnC2XDzpJTtY8crs9VzRJ8tE94gI41CoLVjRW5SWlyyWZSVLZOyCEbJfiy5yQ48JUpjf3NyqlC33hScrWAnSNTyemhKsxKPl1rwEK27Vw7Y1BCu2UvbzuRysPDr9OZn7+sLIzjRr1lTumzBSGuTlWQcrYQ1Wbi+afXPm4jWmy1UkWAlWHYKVYH4EK5Z+BCuWUA7OlosnvWwOVrxDbNGat6XvnN6RsVW8f69fWioNly2WBkuXSNHoEaY3Tdm4CVJZ1DyjfoXzC1aqxsHZIPu36GbGvbGdCFZspXJ3PoKVzKw9wUr4dXM5WNG91TFWXnxlgQlYDj/413LxuafvhOB3KxDBSvBjJhevMYOrJW8NBCvBbAlWgvkRrFj6EaxYQjk4Wy6e9IIGK96X9uhyRn+JT0ePFb9gxXvd9cFp/d4qfsGK3/KxXvfGYNF75nXS3kY6xTsGi9/26bHiJ+Tu6wQr7tamrpYRrIRfN79gxXs9esuz+8yVg9oeZt2goNeYpXPnym67FEjFoTtvk2DFugQJz5iL15gJY6VgQYKVYMgEK8H8CFYs/YKe9Cw3w2xJEMjFk57txV7QL+8uBytJOJRSusqgtfFrrN8YKn6v+62fYMVPyN3XCVbcrQ3BSmpr451LtVdgUX5zKS3fYJ6YN6z7KBnefVRkcNt0ByuxPq/9ghVvbJVGCxeYXdABard16Sql4yakFjqDt5aL15gul4tgJVh1CFaC+RGsWPoRrFhCOThbLp70UhWs6GOW81atlM39BkpFh46hV7+2MVa8jcS6FSj0RqRphQQraYJns0KwkpkHAT1Wwq9brHNpdLCiT6XTHipPfTpVVm9cKanqsaLByI569SJPg/N6Hno9Ef2CFU8saJAevnzmrDEXrzFdrg7BSrDqEKwE8yNYsfQjWLGEcnC2XDzp+QUrVbf6lMqYBcWi/319jwlm4Ff9fzzjdSS73AQrC+K+QLetid+FdPWnRNius/p89FhJRM2NZQhW3KhDvK0gWIlXzH9+14MVvzGzCFb8axx0jly8xgxqlszlCVaC6RKsBPMjWLH0I1ixhHJwNk56NYvi9YaIfiXeX9mSXe5cDlb0l89VG1fKGZ0GSvvC8HsD+QUrQWtLsBJUMH3LE6ykzz7IlglWgujVvuyqshWyeuMKmfnpNJn12TQ5vdNAOXPfgdKuWUfzuWw7nplfyxK9xiRY8ZNN/utcYybfOJ4tEKzEo1VzXoKVYH4EK5Z+iZ70LFfPbEkU4KQXO1hpWdBa8vPyZf3mr6W8ojxpvSMSLW8uByuJmtkuR7BiK5V78xGsZGbNCVaSVze99XThmgVy8I+3/HhbciVY0dtxdSqYMc38ubZks/nTtsdKs/HjzPwbR4xKHmKWrplrTLcKS7ASrB4EK8H8CFYs/QhWLKEcnI2TXuxgRX9901/dEr0vPNnlritY0VuZlpcslsL85uYWJqb4BAhW4vPKpbkJVjKz2gQrqa+bK8GKF4h4AUl0sBIt472eerHs2yLXmG7VlGAlWD0IVoL5EaxY+hGsWEI5OBsnvewMVhw81DKqSUHHUPHbWW4F8hNy93WCFXdrU1fLCFZSXzeCldSbu7ZFrjHdqgjBSrB6EKwE8yNYsfQjWLGEcnA2TnoEKw4ellnfJIKVzC0xwUpm1o5gJfV1cz1YSb1I7m2Ra0y3ak6wEqweBCvB/AhWLP0IViyhHJyNk17sYEXHWGncoLGs26RjrGzJqDFWHDzUaFI1AYKVzD0cCFYys3YEK6mvG8FK6s1d2yLXmG5VhGAlWD0IVoL5EaxY+hGsWEI5OBsnvdjBSvQrmfRUIAcPNZpEsJIVxwDBSmaWkWAl9XUjWEm9uWtb5BrTrYoQrASrB8FKMD+CFUs/ghVLKAdn46RHsOLgYZn1TaLHSuaWmGAlM2tHsJL6uhGspN7ctS1yjelWRQhWgtWDYCWYH8GKpR/BiiWUg7Nx0qtZlOUlS6SsfINct6BYPilZKmN7jJfOLbrK/i26SWF+kTNVrOupQM40kobUKkCwkrkHBsFKZtaOYCX1dSNYSb25a1vkGtOtihCsBKsHwUowP4IVSz+CFUsoB2fjpBe7KH3n9JJFaxY4N7aK12KCFQffUJZNIlixhHJwNoIVB4ti0SSCFQukkGchWAkZNANXxzWmW0UjWAlWD4KVYH4EK5Z+BCuWUA7OxkmPYMXBwzLrm0SwkrklJljJzNoRrKS+bgQrqTd3bYtcY7pVEYKVYPUgWAnmR7Bi6UewYgnl4Gyc9AhWHDwss75JBCuZW2KClcysHcFK6utGsJJ6c9e2yDWmWxUhWAlWD4KVYH4EK5Z+BCuWUA7OxkmPYMXBwzLrm0SwkrklJljJzNoRrKS+bgQrqTd3bYtcY7pVEYKVYPUgWAnmR7Bi6UewYgnl4Gyc9AhWHDwss75JBCuZW2KClcysHcFK6utGsJJ6c9e2yDWmWxUhWAlWD4KVYH4EK5Z+BCuWUA7OxkmPYMXBwzLrm0SwkrklJljJzNoRrKS+bgQrqTd3bYtcY7pVEYKVYPXIumBl+/YKadAgr4ZKZeUOWVfynTQv3EUaN25U6+vrv/lOWuxWJHl5NZffuOkH2b59u+xa1GynZdd+80OwCuTI0gQrmVtoTnoEK5l79GZuywlWMrd2BCuZWTuCldTXjWAl9eaubZFrTLcqQrASrB5ZFaysWrtOeg8YIfNnTpQ9W+8ekVn44TK56uYp8u13ZebfBvQ5Wq659CypX7+e+ftb7y2W4hvuk02bt5i/jxl2jpxx8hHmvzf/sEWuGjdFXn/nY/P3bvvtLZNvuswEMDoRrNgdgAQrdk4uzsVJj2DFxeMy29tEsJK5FSZYyczaEaykvm4EK6k3d22LXGO6VRGClWD1yJpgZcAlN8riT/5tNKoHKyXflsrhp10uFw48SX5/1gmy+r8l0ue80TLu6gvk1N6HypYtW+Ww0y6Toef2kbNOO1reWPh3ufzau2Te9AnSbo+W8tCTL8qsF96UxyePkiZN8uXiqybJTzvuITcUn0ewEsexR7ASB5Zjs3LSI1hx7JDMieYQrGRumQlWMrN2BCupr5sXrOzfoqvs37KbvLHiFVm/+WuZ3WeuHNT2MOsG+V1jLi9ZImXlpaLbKcyv+mFUpz1bFJg/N44YZf5sNn5c1bV9yWbrbTNjMAGuMYP5hb00wUow0awJVtaVbJCv1n8r/S++Yadg5fV3P5ZLR02WRc/fI4XNmhqtW++ZLivXfC333HyF6a1yydW3y9/mPyiNGjYwr58w6GrTq0WDltMvHCO9enaXCwacYF6b9+aHMmzsPbLsjUekXr169FixPP78TnqWq2G2NAhw0ouN3ndOL1m0ZkHcF4GpKmPzXRrJ1m0Vsrm8IlWbZDshCRCshASZhtUQrKQBPYRNEqyEgBjnKrxgJXqxsIOVWOdqgpU4C5aE2bnGTAJqgFUSrATAE5GsCVaU4euS7+TIvlfuFKy888FSuWjERHnvxfukWdMmRmv6nNdk+rOvyXOP3iyznn9THn1qrrw49ZaI5KWjJ8te7dvIsIvOkO7HD5Gbrjpfjj38APP6J5+vMGGLF9RwK5DdAUiwYufk4lyc9AhWXDwus71NBCuZW2GClcysHcFK6utGsJJ6c9e2yDWmWxUhWAlWj6wPVso2bpITzr5GfrZXOznz5CNE//7kM69JRUWFCVb0Vp+5b34gs6ZcH5HU8VaaNm1ixlrpfMS5cu8tV8rhB3Yzr//7y7Vy8uCR8urMibJH693l+x+2B6tAjizdIK+eNMirL1u28st5ppW8UYP6IvVEtm6rzLSmJ729x00/St5Z9ba81O9V6dHh8KRvL94N5DfKk8qKStlWsSPeRZk/zQIF+XmyZVul6MDrTJkloF8Uvt+yXYTSZVTh6tUTKchvIJu0dkwpEXhi2eMybeljNbZ161GTpGurqutumynWNaZ3jo5ex8YR28w/7VLQ0Py5ddS15s8Y5WSSAAAgAElEQVRG4240f36/uep1puQLcI2ZfON4tqDnL6bEBbI+WFGaFau/lgeffFFWrP5K2rZpIcs//1La79nK3Apk02NFx2M55rDfGOXoHitlfPhaHX0aqjRqUI9bEqy03JqpUcP6Ul/qyZZthGJuVca/NU0a5cn2yh2ybTuhmL+WW3M0bdzABNEVBCtuFcaiNc2aNJTvf9hGrmJh5dIs9evVk4LGefxg5lJRLNsS6xrzhBlHmx8/oqfS4q3mnwqbVj0ltHxkVbCSf3NVsFK2qep1puQLcI2ZfON4tlD4Y9gYzzLM+z+BnAhWqhdcn/JzwHFD5OqhA2RQ32MjY6z8ff6D0vDHMVZ6DyiWQX17RcZY6d2zu5zPGCuB3jfcChSIL60L000zrfyBNs4YK4H40rowtwKllT/QxrkVKBBf2hbmVqC00QfecKxrTG9sldM7DZT2hR1l0gdVg9OuGVo1OC1jrASmD7wCrjEDE4a6Am4FCsaZNcHK9u0V8tW6b6XXgGJ5adqtpmdKgwZ5Rkcfs6wD137zXalMfuhpefv9JTLvyfFS0KSx/LClXH7T+yK5augAOavPUTWeCqQ9XWb/+FSggib5MoSnAiV0xBGsJMTmxEKc9JwoQ0KNIFhJiM2JhQhWnChDQo0gWEmILe0LEaykvQQJN4BgJWG6tC/INWbaS7BTAwhWgtUja4IVHWR20+YtEY3ddi2UBXMmm7/f+eBfZMq0581/9/htV7m++Fxp3WLXyLxvvPs3GTrqzsjfR19xtvQ/9Ujzd11n8Y33yVuLFpu/d+60l9x10+XSqkVz83cGr7U7AAlW7JxcnIuTnotVsWsTwYqdk4tzEay4WBW7NhGs2Dm5NhfBimsVsW8PwYq9lWtzco3pVkUIVoLVI2uClboYtFfKN9+WSZtWu0V6sUTPX1FZaXq8tNq9eeSWoOrz6KC3W7dtlxa7Fe20KMGK3QFIsGLn5OJcnPRcrIpdmwhW7JxcnItgxcWq2LWJYMXOybW5CFZcq4h9ewhW7K1cm5NrTLcqQrASrB45EawEI6p7aYIVO12CFTsnF+fipOdiVezaRLBi5+TiXAQrLlbFrk0EK3ZOrs1FsOJaRezb4xes9OxwjLRq2kae+nSqWSljrNjbJntOrjGTLRzf+glW4vOKnptgJZgftwJZ+hGsWEI5OBsnPQeLYtkkghVLKAdnI1hxsCiWTSJYsYRybDaCFccKEkdz/IKV6FURrMSBm+RZucZMMnCcqydYiRMsanaClWB+BCuWfgQrllAOzsZJz8GiWDaJYMUSysHZCFYcLIplkwhWLKEcm41gxbGCxNGcoMHK5v6DzNYKplf1aFlbUvXUIKbkC3CNmXzjeLZAsBKPVs15CVaC+RGsWPoRrFhCOTgbJz0Hi2LZJIIVSygHZyNYcbAolk0iWLGEcmw2ghXHChJHc2JdY45ZUCzLS5bI8vVLpGxrqezXoosU5TeX2X3mmbV7j1uO3hTBShz4AWflGjMgYMiLE6wEAyVYCeZHsGLpR7BiCeXgbJz0HCyKZZMIViyhHJyNYMXBolg2iWDFEsqx2QhWHCtIHM3xu8bsO6eXLFqzQGb3mSsHtT0ssuYWJ/eqdSslz1UFL0zJF+AaM/nG8WyBYCUerZrzEqwE8yNYsfTzO+lZrobZ0iDASS8N6CFtkmAlJMg0rIZgJQ3oIW2SYCUkyBSvhmAlxeAhbs7vGjNWsBJiE1hVggJcYyYIl6TFCFaCwRKsBPMjWLH08zvpWa6G2dIgwEkvDeghbZJgJSTINKyGYCUN6CFtkmAlJMgUr4ZgJcXgIW7O7xqTYCVE7JBXxTVmyKABV0ewEgyQYCWYH8GKpZ/fSc9yNcyWBgFOemlAD2mTBCshQaZhNQQraUAPaZMEKyFBpng1BCspBg9xc37XmPqY5VUbV8oZnQZK+8KOIW6ZVQUV4BozqGC4yxOsBPMkWAnmR7Bi6ed30rNcDbOlQYCTXhrQQ9okwUpIkGlYDcFKGtBD2iTBSkiQKV4NwUqKwUPcHNeYIWKmeFVcY6YY3GdzBCvB6kGwEsyPYMXSj5OeJZSDs3HSc7Aolk0iWLGEcnA2ghUHi2LZJIIVSyjHZiNYcawgcTSHa8w4sByblWtMtwpCsBKsHgQrwfwIViz9OOlZQjk4Gyc9B4ti2SSCFUsoB2cjWHGwKJZNIlixhHJsNoIVxwoSR3O4xowDy7FZucZ0qyAEK8HqQbASzI9gxdKPk54llIOzcdJzsCiWTSJYsYRycDaCFQeLYtkkghVLKMdmI1hxrCBxNIdrzDiwHJuVa0y3CkKwEqweBCvB/AhWLP046VlCOTgbJz0Hi2LZJIIVSygHZyNYcbAolk0iWLGEcmw2ghXHChJHc7jGjAPLsVm5xnSrIAQrwepBsBLMj2DF0o+TniWUg7Nx0nOwKJZNIlixhHJwNoIVB4ti2SSCFUsox2YjWHGsIHE0h2vMOLAcm5VrTLcKQrASrB4EK8H8CFYs/TjpWUI5OBsnPQeLYtkkghVLKAdnI1hxsCiWTSJYsYRybDaCFccKEkdzuMaMA8uxWbnGdKsgBCvB6kGwEsyPYMXSj5OeJZSDs3HSc7Aolk0iWLGEcnA2ghUHi2LZJIIVSyjHZiNYcawgcTSHa8w4sByblWtMtwpCsBKsHgQrwfwIViz9OOlZQjk4Gyc9B4ti2SSCFUsoB2cjWHGwKJZNIlixhHJsNoIVxwoSR3O4xowDy7FZucZ0qyAEK8HqQbASzI9gxdKPk54llIOzcdJzsCiWTSJYsYRycDaCFQeLYtkkghVLKMdmI1hxrCBxNIdrzDiwHJuVa0y3CkKwEqweBCvB/AhWLP046VlCOTgbJz0Hi2LZJIIVSygHZyNYcbAolk0iWLGEcmw2ghXHChJHc7jGjAPLsVm5xnSrIAQrwepBsBLMj2DF0o+TniWUg7Nx0nOwKJZNIlixhHJwNoIVB4ti2SSCFUsox2YjWHGsIHE0h2vMOLAcm5VrTLcKQrASrB4EK8H8CFYs/TjpWUI5OBsnPQeLYtkkghVLKAdnI1hxsCiWTSJYsYRybDaCFccKEkdzuMaMA8uxWbnGdKsgBCvB6kGwEsyPYMXSj5OeJZSDs3HSc7Aolk0iWLGEcnA2ghUHi2LZJIIVSyjHZiNYcawgcTSHa8w4sByblWtMtwpCsBKsHgQrwfwIViz9OOlZQjk4Gyc9B4ti2SSCFUsoB2cjWHGwKJZNIlixhHJsNoIVxwoSR3O4xowDy7FZucZ0qyAEK8HqQbASzI+lEUAAAQQQQAABBBBAAAEEEEAghwUIVnK4+Ow6AggggAACCCCAAAIIIIAAAggEEyBYCebH0ggggAACCCCAAAIIIIAAAgggkMMCBCs5XPxk7fqGsu9l0V+Xy3FH/DbuTWzfXiENGuTFvRwLhCPwxYq1UvJtqXT/5b7WK9Sarf9mg+y2a6HkN2pY63LffFcmTQsaS+P8RtbrZcbUCfC+S511WFuqrNwh324ok0YNG0hhs6a878KCTdF66nrPaW31f3n166eoNWzGRsDmXGezHuZxR2Dbtu3mmqfl7s259nSnLLW2pGzjJtlSvk1atWhe4/WKigpTR/3sbNVyVz47Ha9lNjePYCWbqxtw31b/d7306l9cYy2/P+tEueL3fWOufemnX0i/i2+QZW88IvXq1bNuxaq166T3gBEyf+ZE2bP17jWW27ptu1wwfLz8sKVcZk253nq9uTjj8/MXytXjptTY9QfGD5dDu3eJSfLozLny7odL5c+31ax7bQs9+OSLcvuUWZGXevU8QMYMGyxFhVVf9BZ+uEzufmSOrPrveikv3yoH/Xp/GXf1BbJL0ya5WBarfT7y9GHy9fpv5Z1n75Jdi5qZZbaUb5XD+lwmmzZvkaWvPyL169u/r/w26ve+0+W1xlrr9164V5rtUuC3ypx83fu87NxpL5l5/5iIwaf/XCF9fz9GDv7N/tbvKz9ADa4vv/Yuczzo1P0XneSPF58p+/98L953fng+rz/90tty7fiHpd8pR8q1V54dcG21L17Xe27Hjh0yduKjZsHr/3huUrafrSu95uYp8twrC+W2MRcn9MNOXS5+57pb75kuj8+at9Mqftn5ZzLt7lHZyh3qfqX6vKeNf3jGyzLx/pmR/dBrk1N7HxrqfmXjylJdKw1Mzrn8T/Llqq8M594/2VP0e8hJxxxs/j7zuTfkhkmPRahbt9xN7rrp0sj5MBtrwD65K0Cw4m5t0t4y74vCgxOLpU2r/wUdRc2aym7Nq77w1TYlEqwMuORGWfzJv83qagtW9GJz9K0PyTNz35H99ulIsOJzdGiwMv7eGfL45JE7zdmm5a7SpHF+zKXjDVZmv/CWtN+zlXTbb29ZuXadnD98vJzf73gZfGZv0V8Quh51vlx63mly0aCTTCB2+oVj5XcnHC7n9Tsu7ce3qw3wLlqGnttHLj7nFNPMv7z4tlw34WHz32EGK37vO92evudG3fKg2TbBSuyjpnoQ/egdV8sBv+hkZtaAU9+PYQYr73/8qaz75js5/MBu8kP5VnNRqZ+R9/7pSt53Ad/YZ192s2gPO+2Ft+CZu2L2wkt0M3W95+a9+aHcdOdU+fa7Mul74uEEK3Ega8jY/fgh8pP2baRju9bmvRDmVNe5Trdz691PmnPgiEv6RzbbOL+h6Jc8Jn+BVJ73tDUL3l8iQ66aJJNvukx6HtRNXnr9ffNZ/cLjf5K9Ouzh3+AcniPVtVpXskGembtATul1iBQUNJGps+bJo0/NlbefniyNGzcy59fmhbvIb7r9XLRX2fAb7jN/PjxpRA5XiV1PlwDBSrrkM2C73heFeU9OkHZ7ttypxXoR/9Tzb5pfaMq+3yynHddDBvQ5ylxEeMGKfqHWeb7ftFkuGniSnD/ghJh7rR+cX63/VvpffEOtwcqfn3jBnPhOPPogmfvG+wQrPsePF6wsmDO5xpx11U6DlWdfeVf2+1lHmf/2RyZAu+7Kc+TgAzpbHbH65X/1f0vMCU2DlN/0vsj0UPF+BRp5y4PSIK++3FB8ntX6cnEmvWg5usevTKDxxuw7zIXDCQOvksMP+oVM+8v8SLCiF4HvfrTMfAnTX3A0iDn28AMMmV7kd2jbWko3bpKFHy2T/qceJccdWfPWPL/33YeLP5M/XHOHXF98rvzx+vsIVuo4IL3Py7NOO1q+XP21TBk/XNZ8VSLH9vujnH5ST1nz3/Wmx4reKnnJ1bfLv75cY9a2/z4/kWsuPUv22bu9+bt+8b5w4Enmwl97u9x01fny04571vlW8HqoLXntIdGefbzvEvvkWPv1N3LMmcPlqSlj5YwLx8pd4y6TIw/5lVmZGr+58O/mlsa5b3xgPhtHXT5Ievy2a1x1q+s9p5+Z2t399imzJT+/IcFKHGV84dVFor1Gbrv2Yjlv2K2i5z69PTXM2lVvTvVznfeZq+/tP428MI5WM6snYHvemzr7FXlk5lzTq1Pr2/+UI80PEBu/3yy/L75NRl8+SLrs+1OzWn2vXTr6TrntuovND0DVJz1WPlr82U7XkicPHil9T+wpZ/c9lsLUIZDqWkU3xTvXTr1rpPyqyz41Wlp8w31SuWOHTBxzCXVEIOUCBCspJ8+cDXofXnqR7/VQadSooZx58hHy0mvvme7K2lVZfyG6//HnzO0f+oXZC1ZOOPpA01XvvY8/Ef3CPm/6BGm3x84BTXWNr0u+kyP7XlkjWNEv+Dfc/rjMnjJW3lq0WGa98CbBis9hpF8Cbrz9cdNbxJs6tGttfuGuq3Zapwn3zZAhZ58sXffbW2Y++7p89q9V8vqsSb4Hrv5CcGz/Yjnx6ANl2EVnmPknTZklDz35oumhsu/POsqf7n7SfOHU/2aqXUAvWsYMO9vcQnXSsYdI+z1ayu1/nmW+fF8wfEIkWHni6VflZ3u1NReXby38u7Fe+Nw95n14yTW3m/dK7yO6m95EeqGp3dJrm2K971as/lpOv3CM3HH9UHPP8imDRxGs1HHQep+XL0y9RU4cdLX5cv7iq+/JjspKc/vU35b90wQr+sV5zssL5Jdd9jG9IR6a/qL8Z+V/I59p+/ccbLYy8HfHmFsie/XsLm1a1f2rt94CoUGNd4sk77vEPl301oB5b35gbuXS4HLrtm0yaewfzMqiPxufeu4NWfLpF+YLvE7x1C3We85rtX52b6+oIFiJo4za++Dne7eXyy74nfT83RXyh8Gnmtu5wq6drq+2c52G2fPe+kgO/PV+smvRLiaQ+3XXml/64tilnJrV9ryn14MN8vLMj316S92loybLvbdcaa5t9Lynt8/qjzk6PTD1eXl1wUe1Xi/e8efZZizA6rdt6u2V+pl71dABOWUf786mulbR7dPzp/Zg1x6F1XvP622Ar7/7sfzzi9Xmc1s/D5gQSLUAwUqqxTNoe94XBb1/v6CgsWm5/lo3fvQQGTh0nOluqxf/Oukvq7fc/aQsev4e+eTzFTXGWDlh0NXmnsi67l+t7WJz2Wf/Mb8+PTzpKtGxC/RilmDF/yDyfsHuefAvIjP/qvPPTK+humo3dfb8ncZY0XtbDz/tcnn5iVtND4i6pjG3PSIvv/6+vPD4LZHBxfSWhT/eeJ903fen5tfeQ7p3kduuHRJzsE3/Pcv+OcxFy/BzZOvWbSZQ1Nu3zj3zONl91yLzXvBuBaqorJR//GuVfPavFbLumw1y10NPy1MPjDH3FesF5j4/bV/nWEieZG3vu9KyTXLmkLFyzum9pX+fo8yXdoKVuo897/NSPwM1FPvXl2vl/Y8/MYHyc/PejQQrupYtW7bKkk//Lf9Z9ZXoZ5yO67H8zapxNfQLut9YSNVb4r3X9ZZNHcNIJ953iX1O6HlKexwN6HO0vPXeYtOzSOupgwNH3yapv4Yf0fcKeWnareZcGE/dCFYSq0+spfS2LQ1TZv/5ehPaT3rgKXn/b59GvjSHWTttQ23nOn0f6hgQGpYu/8eX8uqCv5ovdzruGJO/gO15T9f07y/Xyif//FLWf1Mqj8x8WX4/4AQ5+/Rekfes/sCwS9PG0rPvlVJ8cT85+diqsTiqT3rrufYO1PBNw7CVq7+WR2fNkxOPOpBgxadcqa5V9eb88z+r5aw/3GTqrb10q08aln289HNZV/Kd3Dji/MjtuP5HH3MgEJ4AwUp4llm3prpuBerR5zJp2iRfWuy28+jcd954qaz9qqRGsDJs7D2yW/NCGX3FoJhOtV1s3nTHVPOrgt4GodOnn38pyz//0nTX1O6fzRgEtVbPum4Fqqt2z7+ysMbgtXrfup6k6rpAvPfRZ+SeR58xF7IagOmkv8wfdNIf5JHbrzJPGVq55msZOupO+dle7eiiWcenhXfRcugBnUW/6G3dViGvTJ8gf13yeSRY0VsGLr56knz2r5Xml1Ht0aC3y02/7zoTYmmwol1kL6jj9juvCbW973SsB33P6sWLDkD93YYyMyikXoTq2A/0OKpZwOrBit6CpQNx6wW93hqg7w+vx4qGVOdeeasU7lJg7gnXAE1tqwcrT9w9Wn7R+f98zyk6OLR2fx8z7Bw54+QjeN/5isWewRtk+MhDfyUtdyuS8q3bzO14eitWn+N61AhWdE3VPxs1WLGtG8FKgELVsuiTc16VcXdOM71pddKeDAs/Wh4JvWobOyzR2tV2rqttb7QX2Xel38v9tw4Ld2ezdG025z0dtF17Bj0++xXR9+lP2rWWF197Xwb1Pcb8+KDjuh3Tr1guGHC87Nm6hYy46X55e87kmE8j1GvLGc+8bq5VOv1fB7Ne7a3CrUB1H2TpqJW2SG+tHXTpzWaw9nHXXBDzyT/aU2na0/MjvQmz9C3DbjkqQLDiaGFcaFZdwYreInDysYfIoFruRa1t8NreA4rllF6HRgbjrG3/arvY9MYZ8ObXXxm0+/Wg3x1jessUNKnqScO0s0BdwUpdtYu+ANX7mPUkWn0wzupb0kfbTXxgpsx6/k159I5rzMDC3vTOB0vlohET5d3n7jYDi+mkFy53P/y0fPDS/ZQshoB30aJdm/WLs/ZM0XEctBeC12PljYV/k8tGT478mq6r0i92YQUr+ovga+/8NdJC7bmktx4NGXSyHH/UgWZMF6adBaoHK9rDYcazr8tvf7Wf7NW+zU7Bit7b/9k/V8iDk0aYC0Pvl9N4gxUv/Ip+kgXvu8SOTL196s2Ff5PePbtHVqC3sWqNHrnj6hrBijd+zqN3Xi0HdOtk3n8EK4nZB11Kz2n6uNzOPz4VS9c3+8W35YyTeprbWqPPa4nUrq5zXW3t9349jx5APui+ZuvyNue9DaUbRX8Y8n6sUQu9Bey3v9rXBCs66a3HT7+8QNru0dKMFVfXEyyrW2pPB/3SrrdTVr+OyVbvIPuVjlp5P0gcecgv5borz5a8vLyYu6C3i11x3d2iY47VNV8QA5ZFIJYAwQrHRkyBuoKVKdOel6l/mS/33nyF7Pfzn5heKrNeeEuGXXh6ZIyVuU+ONxc7L8xfZLrOercp1LZBvWf5q3XfSq8BxeZXprZtWkiDBjU/OLkVyO6ArStYqat2egH64muLzK1XOgjmfY89K/Pe+lDmPTm+1hBLH0uqtzHorQvVR9LX21e+Wv+dGbjzksGnyoVnnWgeGXzx1bdLYbOC0J/YYKeSGXNVv2ip3uLqwcoHf/9Uzh82XuY8dKMZMFrHzdGnicQbrNi+77gVyP/YiQ5Wqi9RvceK9uzSL/D61BL1v/exZ2vcCuT3BV1vLbrmT3+Wq4cOML/cepOO7aC/kvO+869X9Tn0l269beDK3/eV044/LPKSDt48+PJb5NWZE0WDLB3Y+4Fbh5teRvc8Okfe+XCZzJ9+mxlg2jZYqes9pyFqZUWleS/rfGOHDzZfDMJ8vHp8Mu7P/cWKtXLSOSNFxzbSENObdNw3fZLIy0+Ml8eemhe4dnWd67RG+kh6/bFJbwv7x79Xml5p5/c/wTwRj8lfwOa8t2nzD3LgiZeYMVSOOew38tGSf4gOVKq9l71gxbt9WbfoN66f3s6nY3ToMXTthIelVYtd5a6bLvNvbI7Pkepaff7vVdLn/GtFx2287LzfSb369UwFCprkmzF19Pyqt5nrmCr6RDc9Jho3zuepQDl+nKZr9wlW0iWfAdutK1jRL916IaFPBfIm7Z6nv+zpmAFnDrnejMeij0DUya97pXbL9ebV+XVAztqeaEOwYnfg1BWs1FW7x56aa27p8WqhNbzn5iti3quqPZFWrV1fo1HeuAP6ZURH8f/8i1VmHr0Yuuz803gEZR1ltLlo0cWHXX+PzH/rI7Mm/XL9+jsfy4z7rjMD1eqtQL/usk+dT+LS5WzfdwQr/u877/OytkdSVw9WNEDWJ1XoWFQ6aW8k7ZkXT48VHdxUe8RET95tK7zv/OtVfY4P//6ZDL7ilp161+nrGnTo2B0X9D9eduwQM7C3N7Xfs6WMv/Zic+udTrbBSl3vOT2/XT/psZ0af+OI83YKe+Lbs+yfW8N/HbDSG7jZ22MdEPrEs68xt6d+tPgfgWvnd67Tax699vEmHU/u2ivPjnkbSvZXJr49tDnvacD40PSXzBg6OmnPSQ05+51ylAw+s3dkgxeOmGjGuvELSbya6XWO1mv4kDNDf7x6fAqZMXeqa/XyG++bpxJGT96ttqNuedDctulNOlD/LaMurPNhGZkhTSszUYBgJROr5lCb9Ze+ku/KpGiXpuZXu+qT+WVu/bfSYteiGq85tAs525S6aqdjeHzzbZns0Xq3ULpS6uCCenuEXuwwhSegv87oxab+asOUWQL6aF/tYdKkcX7SGs77Ljxa73YS7Wm0cdMPOz2NIrytsKZkCKSqdnpc6HhUrXbflWueZBTyx3XqDz/6eOXanpam/669WqoP5h2rKfp4bB1IvHXLXc1YYkzhC4RVK7+W6Q+GOmjtLk2bRG4991uG1xFIhgDBSjJUWScCCCCAAAIIZI1AbQOgZs3OZfmOULssL3C13dNe1DqY8UvTxnMLneNlp1aOF4jmJSRAsJIQGwshgAACCCCAQK4IfP7FavOL6KHdu+TKLmfNflK7rCml747obZVFhbtEbtHzXYAZ0iZArdJGz4aTKECwkkRcVo0AAggggAACCCCAAAIIIIAAAtktQLCS3fVl7xBAAAEEEEAAAQQQQAABBBBAIIkCBCtJxGXVCCCAAAIIIIAAAggggAACCCCQ3QIEK9ld36TtnY6k/m3pRmnTcrdaBwjTEbq/K90orXZvXmO0dX1akD6tQh+pHOspMfrEmnr16jP4WNIqyIoRQAABBBBAAAEEEEAAAQTCECBYCUMxx9Zx6ejJ8vo7H5u91nCkT+9DZdhFZ5i/79ixQ+5//Dm5+5E5kdfvHne5dNtvb/P3B598UW6fMisi1qvnATJm2GApKmwa+TcNbc4YMlYuHHiSnHj0QTmmy+4igAACCCCAAAIIIIAAAghkkgDBSiZVy5G2amhy7OEHSIe2reT9jz+RS665Q2bcd5102fen8vdl/5Kzht4kU+8aKV06/VTuevhpeeHV9+TVmRNN75PZL7wl7fdsZYKWlWvXyfnDx8v5/Y6XwWf2Nns38f6Z8vCMl81/3zr6IoIVR2pOMxBAAAEEEEAAAQQQQAABBGoXIFjhyAgscOTpw6TfKUeYHiaTHnhKPv3nCvnzbcVmvetKNsgRfa+Q2X++Xvb9Wcca27puwsOy+r8l8vCkEea1DWXfS3n5Vul/yU0y7KLTCVYCV4cVIIAAAggggAACCCCAAAIIJFOAYCWZujmw7hWrv5bjB14l995ypRx+YDcpvuE+aV7UTEZdPjCy9/v3HBx5vTqJjrVybP9iOfHoAyO3Enmv9x5QLEPPO41gJQeOIXYRAQQQQAABBBBAAAEEEMhkAYKVTK5emtu+afMWGXjpOGnWtIk8csfVkle/vqj5j7kAACAASURBVFw4YqJ02rv9TkFJ9+OHyNjhg+X4ow7cqcVjbntEXn79fXnh8VukVYvmO71GsJLm4rJ5BBBAAAEEEEAAAQQQQAABKwGCFSsmZooW0AFmL7vuLvlq3Tfy+OSR0rxwFzOL9ljZtXkzGXlZ3T1W7n30Gbnn0Wdk5v1jpHOnvWoAE6xwzCGAAAIIIIAAAggggAACCGSCAMFKJlTJsTZu/H6zXDZ6smzeUi4PjB8eCVW0mTrGymf/XiVTxg83rY4eY6WycodMfGCmzHr+TXn0jmtkv31qjruiyxGsOFZ0moMAAggggAACCCCAAAIIIFCrAMEKB0ZcAj9sKZczh1wvFRWVcvvYP0jTpk3M8nobUJtWu0WeCjTt7lHmqUB3PjhbXnzt/chTga4d/7A8/dLbJpDZq8MekW23abmr5OXlSUVFhWj4ctI518iQs0+RE446UBo2bBBXG5kZAQQQQAABBBBAAAEEEEAAgVQJEKykSjpLtvN1yXdyZN8ra+zNbrsWyoI5k2XHjh2ij2O+//HnzDxNCxrLlPF/lF90/j/zd+2Jsmrt+hrLvzTtVunYrrUMv/5emfvGBzu9/sLUW2Sv9m2yRJDdQAABBBBAAAEEEEAAAQQQyCYBgpVsqqZD+7KlfKt8u2GjtGm5m9SvX8+hltEUBBBAAAEEEEAAAQQQQAABBMITIFgJz5I1IYAAAggggAACCCCAAAIIIIBAjgkQrORYwdldBBBAAAEEEEAAAQQQQAABBBAIT4BgJTxL1oQAAggggAACCCCAAAIIIIAAAjkmQLCSYwVndxFAAAEEEEAAAQQQQAABBBBAIDwBgpXwLFkTAggggAACCCCAAAIIIIAAAgjkmADBSo4VnN1FAAEEEEAAAQQQQAABBBBAAIHwBAhWwrNkTQgggAACCCCAAAIIIIAAAgggkGMCBCs5VnB2FwEEEEAAAQQQQAABBBBAAAEEwhMgWAnPkjUhgAACCCCAAAIIIIAAAggggECOCRCs5FjB2V0EEEAAAQQQQAABBBBAAAEEEAhPgGAlPEvWhAACCCCAAAIIIIAAAggggAACOSZAsJJjBWd3EUAAAQQQQAABBBBAAAEEEEAgPAGClfAsWRMCCCCAAAIIIIAAAggggAACCOSYAMFKjhWc3UUAAQQQQAABBBBAAAEEEEAAgfAECFbCs2RNCCCAAAIIIIAAAggggAACCCCQYwIEKzlWcHYXAQQQQAABBBBAAAEEEEAAAQTCEyBYCWi59psfAq6BxRFAAAEEEEAAAQQQQAABBBBIn8CeuzdJ38azYMsEKwGLSLASEJDFEUAAAQQQQAABBBBAAAEE0ipAsBKMn2AlmJ8QrAQEZHEEEEAAAQQQQAABBBBAAIG0ChCsBOMnWAnmR7AS0C9Vi/ed00vqST2Z1WduqjbJdhBAAAEEEEAAAQQQQACBjBAgWAlWJoKVYH7OBysF06dKkxlP1NjLH/qdJZv7Dwq495mzeNu7C0xj1wzdnDmNpqUIIIAAAggggAACCCCAQAoECFaCIROsBPNzPlhpNn6c6P+jp40jRon+P9snL1Cpvp8Hte0hs/vMy/ZdZ/8QQAABBBBAAAEEEEAAASsBghUrppgzEawE8yNYCeiX7MUJVpItzPoRQAABBBBAAAEEEEAg0wUIVoJVkGAlmF/GBCvbOncV/X/DZUvM/3Otx8qw7qNkVdkKmfXZNKHHSsCDnsURQAABBBBAAAEEEEAgqwQIVoKVk2AlmF/GBCtbD+kh5YccJvnvvi2N3l1AsMKtQAGPfBZHAAEEEEAAAQQQQACBbBEgWAlWSYKVYH4EKwH9kr24dysQPVaSLc36EUAAAQQQQAABBBBAIFMFCFaCVY5gJZgfwUpAv2QvTrCSbGHWjwACCCCAAAIIIIAAApkuQLASrIIEK8H8CFYC+iV7cYKVZAuzfgQQQAABBBBAAAEEEMh0AYKVYBUkWAnmlzHBihm8tks3abh0cU4OXnvGvoNk3aav5M2V8xm8NuAxz+IIIIAAAggggAACCCCQXQIEK8HqSbASzC9jgpXo3cy1pwJV3//opwLpgL67n9Jbth7cQ0qemxfwiGBxBBBAAAEEEEAAAQQQQCCzBAhWgtWLYCWYn/PBSsH0qVIwfVqNvdzcf6Bs7j8o4N67v7h3K1BtwUr90lJpsHyJNFy6RIpGFZvHUZfePEF2FBaZ/2ZCAAEEEEAAAQQQQAABBHJBgGAlWJUJVoL5pT1Y8XpbRO9GrvRI8Stf3zm9asyyf4uucn2PCebR09pTJXoKq+fKxA/GyaQPxtVYvz6haHj3UX5N53UEEEAAAQQQQAABBBBAICUCBCvBmAlWEvQ75phjIks+NuO5BNcSfDGClcQNCVYSt2NJBBBAAAEEEEAAAQQQyHyBc/qdvNNOzJ8/P/N3Kg17QLCSALqGKtUPOP17usIVgpUECvjjInorUMNli6WB3go0eoRs69xFysZNkMqi5qHcCuT1WNExXQ5qe5gsWvO2LFqzQOixknjNWBIBBBBAAAEEEEAAAQTCE9BgJfq7LeFK/L4EK/GbiYvBSkX7DmbMFA1aGr27QLgVyL6wyRq8lmDFvgbMiQACCCCAAAIIIIAAAqkXIFgJx5xgJQFHgpUE0BxehGDF4eLQNAQQQAABBBBAAAEEEEiaAMFKOLQEKwk4EqwkgObwIgQrDheHpiGAAAIIIIAAAggggEDSBAhWwqElWEnAMZXBSt7KFVIw84karaxo1z5y648+2aaySB8R3E0arFohugy3AtkX1hjPmCbe7VT2S9Y9J7cChSXJehBAAAEEEEAAAQQQQCAZAgQr4agSrCTgGCtY0cFJReqJDlYa1uT35BoGrw1LOvz1EKyEb8oaEUAAAQQQQAABBBBAIDwBgpVwLAlWEnCMFay0vbvArG3N0M0JrLX2RfyCFa+3Rf3SDdJw6ZKqnitdusnWQ3pI+SGHhdYOVhS/AMFK/GYsgQACCCCAAAIIIIAAAqkTIFgJx5pgJQHH2oKVIROLpe+cXmZts/vMM3+G0XPFL1hJoPkskiIB22ClYPpUaTLjCfmh31nm9i4mBBBAAAEEEEAAAQQQQCAVAgQr4SgTrCTgWFuw8uqhr9ZYUxg9VxouWyJFI4ulXtkGabhsqVQWFsn2zl1lW5euUjpuQgKtZ5FUCdgGK83GjxP9P+PipKoybAcBBBBAAAEEEEAAAQRUgGAlnOOAYCUBx1QGK17zkjXAagK7zyKWAl6w0r6wo7Rr1lFWb1whq8pWyLDuo2R491EmTNH/R09ewOItH/367D5z5aC23OZlWQZmQwABBBBAAAEEEEBgJ4FkPRU0E5kJVsKpGsFKAo61BStdh/1WJn1Q9SVZvzjrpF+emXJXIFYwQrCSu8cEe44AAggggAACCCCQfgGClf/VgGAlnOORYCUBx7qfCqRjq9CbIAHWrFskrGBFx+rRY+qpT6fK6o0rhR4rWXeosEMIIIAAAggggAACKRTI9WDF9JqvV082Fo/kVqCQjjuClQQgYwUrCayKRbJYQB+/vXDNghp7ePCPQYl+oDd6d4Hkv/O2NFq4QLYe3EPKDz0s8kSn6DFaCFay+GBh1xBAAAEEEEAAAQRSJpDrwcqeLaqeZru2ZDPBSkhHHcFKApAEKwmgsUhMAR0/p8GqFbK9fUep6NAxMh/BCgcNAggggAACCCCAAALhCdQvLZUGy5dIw6VLpGhUsWzr3FVKb54gOwqLzH+7Po1ZUCyflCyt0cyxPcbL/i3+13596mje6lWy+cyzdvp+0eLkXrKjXj3RYEmn8kMOkxObNJL58+dH1hn9Xdd1E1faR7CSQCUIVhJAY5G4BQhW4iZjAQQQQAABBBBAAAEEYgp4PVWiZ9Ce4yXPzRPtcd53Tu8ay3tjJCabVoMP7ckePX3z7FwTgvSd00sW1dIjPnqoAG893nLe+ryeKtXXf8zRRxOshFBYgpUEEAlWEkBjkbgFCFbiJmMBBBBAAAEEEEAAgRwWME9SnfmEmD+nTzW9NTb3HyQV7dqbP9MdrGi78lavrFGh7ft3lcqiIgkarGgvnAbLlkrDZYtFe+doL5zKouaiAYtOBCvJe3MQrCRgS7CSABqLxC3gBSvarW//lt3kjRWvyPrNX0cGr7XtChj3hlkAAQQQQAABBBBAAIEMFPALTvxeX16yRPQau7R8g7nlprBRkezfsquc0WmgnLHvoMAiOmisGTg2avJ6lgQNVmItr2OpEKwELl+dKyBYScCXYCUBNBaJWyDWU4W8rn62XQHj3jALIIAAAggggAACCCDgqID3RJvqzbPtkeIXrHjrXFW2Qp76bJq0b9YhlEDFW6/2oimYPk3yVq2QvFUrpaJ9B6lo39GM86K9SxouWyL1SzdIg6VLpH5ZVY+THUU6/ks306NFg5+y8g2yzPxZasZVKcovkv1bdJPC/CLTS0fXGz1tHDGKYCXJxzPBSgLABCsJoLFI3AK2wUrPDsdIy4LW8ubK+Tv1aIl7gyEvoO2vJ/V2Wmu7Zu1DPTmF3GRWhwACCCCAAAIIIOC4QG23s3hjpJhbgGZMq7EHGmDorUB6e4zeJhM96e0yqRy81uu5ooGHF3qki/2cficzxkoI+AQrCSASrCSAxiJxC+jjlTUp18R89caV0q5ZB2lf2FGu7zHBpNNejxUNVlo1bVPjVqHqyXhto4LH3aAYC+ggXyL15KC2PXaao+3dVY9xqz7pPLP7zAtr06wHAQRSKKC/otUrK62xRe++8BQ2hU0hgAACCOSwQF3BSqawEKxkSqXs20mwYm8VmZNgJQE0FklYwOu5Ej0aue2tQLFGBU+4QT8uWFtwoi+tGVp1D6f3uoYppeWl8knJEhO+EKwElWd5BNIj4Hffd7Jb5feZk+zts34EEEAAATcEvGBl6yE9pJ7pgbJEvB4rbrQws1pBj5Vw6kWwkoAjwUoCaCwSukCmBCsaCGmvm1mfTYsEK96I7dEo3v2xoWOxQgQQCCxAsBKYkBUggAACCIQg4AUreguNd+sPwUrisAQridtVX5JgJQFHgpUE0FgkdAEdsVwHsFq+fomUbS2V/Vp0kaL85pFbhbxu+0Uji02SXzpugmzr0lXC7rbv/Yrs9VTxdtT799qCFduBw0JHY4UIIJCwgBesVLZqLTvy86X+uq+lXnm5eYRj+SGHJbxe2wXpsWIrxXxhCtj+iBHmNlkXAgjULUCwEu4RQrASjifBSgKOBCsJoLFI0gS8gMUbe8XbUKp+XSZYSVppWTECTgl4nymb+w2Uig4dI08eIFhxqkzONkYD/sJRI2R75y4m6A9r0l+r81bXfAJGRbsO5jgNOhGsBBVkeQTCFyBYCdeUYCUcT4KVBBwJVhJAY5GUC6QqWIm1YzY9VioLi2R7l6417o/Vx8dpb5zoSR8jpwP3MiGAQOoF0h2s6HhTOk368U/tDafT8B//1C/A0U8i0558GjozpU9An8DRYPkSabh0iRSNKjZP3dDHiu4o1MeHBv889waAjN7DsJ604QUrp3caaAaQ14HldUD52X3mykFtDzM9QhnUOX3HF1vOTQGClXDrTrASjifBSgKOBCsJoLFIygUyIVjxHn0XfX+sPmmo75zeNcyiB7/1LtjDukBPeZHYIAIJCHjBY6qDxnQHKx5V1ZPIxHyprT7xJLIEDqaQFtFjY0e9ejutzeuZYnvrpzf2VvRYWxqyj10wokZLT+90lpyx7yBJVbAS3QAvWEn3uTakErIaBDJKwAtW9DbU+qUbGLw2YPUIVgIC/rg4wUoCjgQrCaCxSMoFCqZPlbxVKyPd9b3u+96fyW7Q/54KdJiUlW8wPVC8YMS70PYLVvLz8qVlQWspryiX9Zu/rvFUIW89YQ9Ypr9IzvrsiRpEY3uMT0mPGe8R1tENiH6kdbJrmMj6vW75DbR7/qqVojXe3qGjhNUtP5E2ZdsyXvAY6ylb+r5otPAd2XrwoaGOfeJKsBKrnnUFK14IG70soWw47466Hn3qF6z4vR4raPeelOcFK9oDckdRkekBWb+sVMLusUKwEs6xwlrCFUjW573eZv5JydK0XQfp+1qiwlptzMbikaZN2fC45XCPhGBrI1gJ5uctTbCSgCPBSgJoLJI2Ae16rV2wtet1GN2ubXekri85tsFKu2YdzC+SsZ4qZH7hnD7V3Ee/uf+g0L5Ieo+4jnUhbWvgN1+sR2GnYpDOZPV6SPavx36mufB6rGDFC7UKpk8z7wt9T2zuPzC0UMs7XsuPOkYqWrWRxq+9YgawTdUYK361tfnMiV5H2KGsXxvT9Xqs21V0/8OYXAhW9Py2rUs3abh0sfn1OlXBSrp/xAijfqwj8wS8QKXRO2+L/rf23Nh66GGR66BY1zFeIKnnkUVr3pFVG1fI6rIV0q6wo7Rv1lG0J5je8uY3tpD+WKbXEdHj/Ont2tqbMuhU22eKrnNtyWazahO8RE3ej3VBt52LyxOshFN1gpUEHAlWEkBjkZwTsPmS49djpepWh24xe7xEo4Z1Ie1dkOzXoqvpofLmyvmmx4zX9TtoMTXsarBsqTRctlj0l3T9QlBZ1Nx8QdXJs9NgSSe9n1+n6CcvJdIOr1t96Y+9iNS4c4tu5qlSYYxFQbCSSFXslvHCMK2hXszqsak10+NEL4T97L0L6eitHdT2UHNbjXehHv365jPPMuGl67c82HzmRO+bF6y4Pq6T+fK+elWNA8Wrjd8RFKt23pcUv+X9Xq8rWPFu9Yz1JUg/A/WzMHrSz0T9bLTtsZKs84Hfvvu97hdq6fkmemwgXeew7lW/zDMhUJuA3+e9X7Di9wOSX7Di93rQqvkFK0HXz/I7CxCshHNEEKwk4EiwkgAai+ScQG0DTbb/sQdKol2/o28lStaFtHfBodvTL5zRgxUGLabfl5xk9lixHb8m1j564yDoPc0Nli4xXe/1V2LvthO/i71Yt1l54yUEtc3m5YN+wfS70I5VO69Hitf7Ldo41b3hYtXYG3ul+uuF+c1NABX0MydVx5UGKE1mPCE/9DvL9DjyJr9Qq+ozqmbw4v367PeZE3T/dP06NVq4wPypgdW2Ll1DefqPFyRGt/GMTgNNj0Y1015a0ZP21qpuGHQfE13ezz6Zn/eJtpnl3BfwO9fq5+HCNVXvx+rTwT9e1/gFK/qZsurHH3WqL6/vO5seLUEFCVaCCsa3PMFKfF6x5iZYScCRYCUBNBbJWQEvYPGe3KEQQb/keMt7TxUyt0CsWhla1+9cCFZ07JqeHY4xPXG0R06s8TqiD9xYtfN6C/l9yfH7cp+zbxSLHU93sGLRRGdn8es1ETRwtN1xva1Re6B5vYy85bxApcGqFaJt1R5C29t3lLJx402vDb9gxe/XY78v97bt95vP656vnwdMVQJ+9n7Bit/rOLstEGtQ5qCt9gtW/NZf9Vm0osZs2kvY5lY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   "source": [
    "# 畫大盤Ｋ線圖\n",
    "fig = go.Figure(data = [go.Candlestick(x = df.index,\n",
    "                open = df['Open'],\n",
    "                high = df['High'],\n",
    "                low = df['Low'],\n",
    "                close = df['Close'],\n",
    "                increasing_line_color = 'red', \n",
    "                decreasing_line_color = 'green')])\n",
    "# 標示吞噬型態\n",
    "for i in range(len(idx)):\n",
    "    day = idx[i]\n",
    "    direction = '多頭' if df.loc[day][-1] > 0 else '空頭'\n",
    "    high = df.loc[day][1]\n",
    "    fig.add_annotation(x = day, \n",
    "                       y = high + 1,\n",
    "                       opacity = 0.9,\n",
    "                       font_size = 15,\n",
    "                       text = direction + \"吞噬 \",\n",
    "                       showarrow = True,\n",
    "                       arrowhead = 1)\n",
    "    \n",
    "# 設圖標及圖長寬\n",
    "fig.update_layout(\n",
    "    title_text = \"2021/02 - 2021/06 貴州茅台(600519) K線圖 - 多頭吞噬/空頭吞噬型態\",\n",
    "    width = 1000,\n",
    "    height = 600\n",
    ")\n",
    "# 設x軸標題\n",
    "fig.update_xaxes(title_text = \"日期\")\n",
    "\n",
    "# 設y軸標題\n",
    "fig.update_yaxes(title_text = \"股價\")\n",
    "\n",
    "fig.show()"
   ]
  }
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