TEJAPI_Python_Bias_Strategy.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tejapi as tej\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import ffn \n",
    "\n",
    "tej.ApiConfig.api_key = 'Your Key '\n",
    "\n",
    "plt.rcParams['font.family'] = 'Noto Sans TC'\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#上市櫃公司代號\n",
    "\n",
    "price = tej.get('TWN/APRCD', \n",
    "                coid='2330',\n",
    "                mdate={'gt': '2015-01-01', 'lt':'2022-11-28'}, \n",
    "                opts={'columns': ['coid', 'mdate', 'close_d', 'high_d', 'low_d', 'open_d']},\n",
    "                chinese_column_name=True, \n",
    "                paginate=True)\n",
    "\n",
    "\n",
    "price['年月日'] = price['年月日'].dt.date\n",
    "price = price.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>證券代碼</th>\n",
       "      <th>年月日</th>\n",
       "      <th>收盤價(元)</th>\n",
       "      <th>最高價(元)</th>\n",
       "      <th>最低價(元)</th>\n",
       "      <th>開盤價(元)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2330</td>\n",
       "      <td>2015-01-05</td>\n",
       "      <td>139.5</td>\n",
       "      <td>140.5</td>\n",
       "      <td>137.5</td>\n",
       "      <td>140.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2330</td>\n",
       "      <td>2015-01-06</td>\n",
       "      <td>133.5</td>\n",
       "      <td>137.5</td>\n",
       "      <td>133.0</td>\n",
       "      <td>137.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2330</td>\n",
       "      <td>2015-01-07</td>\n",
       "      <td>134.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>133.5</td>\n",
       "      <td>133.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2330</td>\n",
       "      <td>2015-01-08</td>\n",
       "      <td>138.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>136.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2330</td>\n",
       "      <td>2015-01-09</td>\n",
       "      <td>134.0</td>\n",
       "      <td>135.5</td>\n",
       "      <td>133.0</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1928</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-21</td>\n",
       "      <td>482.0</td>\n",
       "      <td>489.5</td>\n",
       "      <td>480.5</td>\n",
       "      <td>487.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1929</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-22</td>\n",
       "      <td>491.0</td>\n",
       "      <td>491.0</td>\n",
       "      <td>476.0</td>\n",
       "      <td>476.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-23</td>\n",
       "      <td>492.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>488.5</td>\n",
       "      <td>494.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1931</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-24</td>\n",
       "      <td>496.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>492.0</td>\n",
       "      <td>494.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1932</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-25</td>\n",
       "      <td>498.0</td>\n",
       "      <td>498.0</td>\n",
       "      <td>494.0</td>\n",
       "      <td>494.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1933 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      證券代碼         年月日  收盤價(元)  最高價(元)  最低價(元)  開盤價(元)\n",
       "0     2330  2015-01-05   139.5   140.5   137.5   140.5\n",
       "1     2330  2015-01-06   133.5   137.5   133.0   137.5\n",
       "2     2330  2015-01-07   134.0   135.0   133.5   133.5\n",
       "3     2330  2015-01-08   138.0   138.0   136.0   136.5\n",
       "4     2330  2015-01-09   134.0   135.5   133.0   135.0\n",
       "...    ...         ...     ...     ...     ...     ...\n",
       "1928  2330  2022-11-21   482.0   489.5   480.5   487.5\n",
       "1929  2330  2022-11-22   491.0   491.0   476.0   476.0\n",
       "1930  2330  2022-11-23   492.0   496.0   488.5   494.5\n",
       "1931  2330  2022-11-24   496.0   496.0   492.0   494.0\n",
       "1932  2330  2022-11-25   498.0   498.0   494.0   494.0\n",
       "\n",
       "[1933 rows x 6 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "price"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 乖離率計算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bias_cal(tmp ,n):\n",
    "    \n",
    "    df = tmp.copy()\n",
    "\n",
    "    df['BIAS'] = ((df['收盤價(元)'] - df['收盤價(元)'].rolling(n).mean()) / df['收盤價(元)'].rolling(n).mean()).round(4)\n",
    "\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>證券代碼</th>\n",
       "      <th>年月日</th>\n",
       "      <th>收盤價(元)</th>\n",
       "      <th>最高價(元)</th>\n",
       "      <th>最低價(元)</th>\n",
       "      <th>開盤價(元)</th>\n",
       "      <th>BIAS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1923</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-14</td>\n",
       "      <td>445.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>441.5</td>\n",
       "      <td>450.0</td>\n",
       "      <td>0.1222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1924</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-15</td>\n",
       "      <td>480.0</td>\n",
       "      <td>487.0</td>\n",
       "      <td>462.0</td>\n",
       "      <td>465.0</td>\n",
       "      <td>0.1994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1925</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-16</td>\n",
       "      <td>487.0</td>\n",
       "      <td>494.0</td>\n",
       "      <td>481.5</td>\n",
       "      <td>491.5</td>\n",
       "      <td>0.2031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1926</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-17</td>\n",
       "      <td>485.0</td>\n",
       "      <td>485.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>482.5</td>\n",
       "      <td>0.1854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1927</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-18</td>\n",
       "      <td>487.0</td>\n",
       "      <td>494.0</td>\n",
       "      <td>486.0</td>\n",
       "      <td>491.5</td>\n",
       "      <td>0.1763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1928</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-21</td>\n",
       "      <td>482.0</td>\n",
       "      <td>489.5</td>\n",
       "      <td>480.5</td>\n",
       "      <td>487.5</td>\n",
       "      <td>0.1510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1929</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-22</td>\n",
       "      <td>491.0</td>\n",
       "      <td>491.0</td>\n",
       "      <td>476.0</td>\n",
       "      <td>476.0</td>\n",
       "      <td>0.1559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-23</td>\n",
       "      <td>492.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>488.5</td>\n",
       "      <td>494.5</td>\n",
       "      <td>0.1427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1931</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-24</td>\n",
       "      <td>496.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>492.0</td>\n",
       "      <td>494.0</td>\n",
       "      <td>0.1374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1932</th>\n",
       "      <td>2330</td>\n",
       "      <td>2022-11-25</td>\n",
       "      <td>498.0</td>\n",
       "      <td>498.0</td>\n",
       "      <td>494.0</td>\n",
       "      <td>494.0</td>\n",
       "      <td>0.1266</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      證券代碼         年月日  收盤價(元)  最高價(元)  最低價(元)  開盤價(元)    BIAS\n",
       "1923  2330  2022-11-14   445.0   450.0   441.5   450.0  0.1222\n",
       "1924  2330  2022-11-15   480.0   487.0   462.0   465.0  0.1994\n",
       "1925  2330  2022-11-16   487.0   494.0   481.5   491.5  0.2031\n",
       "1926  2330  2022-11-17   485.0   485.0   475.0   482.5  0.1854\n",
       "1927  2330  2022-11-18   487.0   494.0   486.0   491.5  0.1763\n",
       "1928  2330  2022-11-21   482.0   489.5   480.5   487.5  0.1510\n",
       "1929  2330  2022-11-22   491.0   491.0   476.0   476.0  0.1559\n",
       "1930  2330  2022-11-23   492.0   496.0   488.5   494.5  0.1427\n",
       "1931  2330  2022-11-24   496.0   496.0   492.0   494.0  0.1374\n",
       "1932  2330  2022-11-25   498.0   498.0   494.0   494.0  0.1266"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bias_cal(price, 20).tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 回測計算"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def performance(tmp, n, init=1000000):\n",
    "    df = tmp.copy()\n",
    "\n",
    "    signal = 0\n",
    "\n",
    "    df['his_low'] = df['最低價(元)'].shift(n)\n",
    "    df['his_high'] = df['最高價(元)'].shift(n)\n",
    "\n",
    "    df.loc[0, '現金'] = init\n",
    "    df['進出場'] = 0\n",
    "\n",
    "    for i in range(1, len(df)):\n",
    "\n",
    "        if (df.loc[i-1, '收盤價(元)'] > df.loc[i-1, 'his_high']) & (df.loc[i-1, 'BIAS'] < 0) & (signal == 0):   #前一天收盤價小於n天前最低價，且收盤乖離率<=0，則當天開盤價進場\n",
    "\n",
    "            df.loc[i, '股票'] =  df.loc[i, '開盤價(元)'] * 1000\n",
    "            df.loc[i, '交易成本'] = round(-df.loc[i, '開盤價(元)']*1000*0.001425)\n",
    "            df.loc[i, '現金'] = df.loc[i-1, '現金'] - df.loc[i, '股票'] + df.loc[i, '交易成本']\n",
    "            df.loc[i, '進出場'] = '進場建倉'\n",
    "            \n",
    "            signal = 1\n",
    "\n",
    "        elif (df.loc[i-1, '收盤價(元)'] < df.loc[i-1, 'his_low']) & (df.loc[i-1, 'BIAS'] > 0) & (signal == 1):   #前一天收盤價大於n天前最高價，且收盤乖離率>=0，則當天開盤價出場\n",
    "\n",
    "            df.loc[i, '股票'] =  0\n",
    "            df.loc[i, '交易成本'] = round(-df.loc[i, '開盤價(元)']*1000*0.004425)\n",
    "            df.loc[i, '現金'] = df.loc[i-1, '現金'] + df.loc[i, '開盤價(元)']*1000 + df.loc[i, '交易成本']\n",
    "            df.loc[i, '進出場'] = '出場平倉'\n",
    "            \n",
    "            signal = 0\n",
    "\n",
    "        elif signal == 1:\n",
    "\n",
    "            df.loc[i, '股票'] = df.loc[i, '收盤價(元)'] * 1000\n",
    "\n",
    "            df.loc[i, '現金'] = df.loc[i-1, '現金']\n",
    "\n",
    "        else:\n",
    "\n",
    "            df.loc[i, '現金'] = df.loc[i-1, '現金']\n",
    "          \n",
    "\n",
    "    df['股票'] = df['股票'].fillna(0)\n",
    "    df['交易成本'] = df['交易成本'].fillna(0)\n",
    "    df['總權益'] = df['現金'] + df['股票']\n",
    "\n",
    "    print('總權益：', df['總權益'].iloc[-1])\n",
    "    print('交易成本：', df['交易成本'].sum())\n",
    "    print('報酬率：', '%.2f'%((df['總權益'].iloc[-1] - init)/init*100), '%')\n",
    "\n",
    "    print('年均報酬率：', '%.3f'%(df['總權益'].pct_change().mean()*252*100), '%')\n",
    "    print('年化標準差：', '%.3f'%(df['總權益'].pct_change().std()*np.sqrt(252)*100), '%')\n",
    "    print('夏普值：', '%.3f'%((df['總權益'].pct_change().mean()*252*100) / (df['總權益'].pct_change().std()*np.sqrt(252)*100)))\n",
    "\n",
    "    print('最大回撤：', '%.2f'%(((df['總權益'] / df['總權益'].cummax() - 1).cummin().iloc[-1])*100), '%')\n",
    "\n",
    "    return df\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "總權益： 1011657.0\n",
      "交易成本： -51843.0\n",
      "報酬率： 1.17 %\n",
      "年均報酬率： 0.342 %\n",
      "年化標準差： 6.177 %\n",
      "夏普值： 0.055\n",
      "最大回撤： -24.27 %\n"
     ]
    }
   ],
   "source": [
    "result = performance(bias_cal(price, 20), 20)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "總權益： 1011657.0\n",
      "交易成本： -51843.0\n",
      "報酬率： 1.17 %\n",
      "年均報酬率： 0.342 %\n",
      "年化標準差： 6.177 %\n",
      "夏普值： 0.055\n",
      "最大回撤： -24.27 %\n"
     ]
    },
    {
     "data": {
      "image/png": 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iIiJD5b7w/X9A3Fr7qjHmbThzhP4GrHArK3LdF7xfwWkBu9m978vAh9z7z7TWHgRw23Zy3bdv4bQS5bsDrs8FLjXG+Ky133cfp9oY8yTOMPMOu651Zpyd336BMyfp2m5O2Qoca4yZZK3tPIh5Pk7osb3/H6EBuQkn/Ek+vltVdg3Ox3djyvESnEHu56Ye7+SrwK3uxydxvyLgbTgfg08Cq40xiblOhTiVODelPMbS1I+D2+aXuLrE/fy+D6eyx+8GVNcBn7TWznCf8yc4n7e+vBMnYPtoYr6TMebNOJVQq40xb8EJpv4f8DNr7a5+PGZnV7pvnW3q6Q7W2kZjzHtw2tJeoL1izYMz22kdzgyuzjvGPYjTAteKE0R15+lOu919Gvhbym532cDbE+ekHuv0OKelDtZ353LNxAmWinBaXZfjVGytck/LAl4BqoGTEyFkP2wG/se9/PfeThQRERmrJvJudw/jtCz0yBhTAPwcuBg4FmeXGRERkYyy1r5srX3Vvfwva+1snBfdk93qkD04gcEXgDOttduNMWcbY75pjMmz1rYkAhS3kqoO5wX+VpxAog34Bs5OXhfgVPt4Oy2jHqdKqL6ndbrh1V9wwoK3dh6S7UpUqHQIS9yqnFNwWpjautwrDay1T3cKnrJw/qD0ByBqjMkzxkw1xiyw1tbhVLhc757rMcYs6/SQP07cnvIcDTjVKokd3o631pZba8txKro+lbjuvvW6E1qaTXP/bUhZ72qc1jVw5lP9Bae6p88Kt86stXM673SX8tZr+6C19h90nQWWAzRba3+EU7VU1en2Z3G+Vh/M5LBx10XGmAeNMScaY9bi7Pr4FSBorT3g/v96E7A1pVJvHU5L41sHEDztxfldc4779jmccE1ERGRcmbDhk7V2Ayml9MaYcmPMfcaYtcaYf7ol4ecC/3V/ybC9/CVUREQkI4wxJxhj/o1TTfEAzm5g78MZGv0nIGCM+SbOH0jK6bizGu68piKcrer3Ab+11i6z1p6C00bkB35lrb0h5TlXAO/AaYv6Ug/r+hhOcPEacJ61tr6Hd+EvOAOvv+b+USfhqzhtbr/r30dicIwxrxpjTjLGvI5TBfQOnF35luO0On0WZy4UOMPK3+m2Qi3DqQ5KBDhYa2+11nYORLDWtqRc3WKMse5MoSLgd4nr7ltPLYiZsNb997NuG1liveuAL+LMFJqFE07NGcZ19WQSUG+MuRC4k65tawtxhpIXdr5jBizBqRRsxpnLtcp97uMh+X/kMjqGkXfgBMNf7edzfBKnHfAnnd4O4XydioiIjBsTtu2uGz8Fvm2tXW2MuRhnxgY480Ufw91ZyFr77IitUEREJqJXcXahuxl4MlElZIyZZIz5IE6rmwe4zFr7l+4ewFrbaoyZixNQXWqMSQxs/hBO215y3pPboncnzgDqR4DbjTH3W2ufd2/34LSzXYtTufJn4CNu61LqVOefWGvrrbWHjDFfwBm+vNY4w9EX48zuWYnTxpQR7h+SjsQJmRqBRcCTwJk4wdpaOg47f9YY8zTwZuBnOIHDtTgVZv21jPY2wr044V3qEO+WLvfIEGvtw8aYv+MEGduMMf/BqYI7HmeA/VactrH/Ada5t7+3hwq24TAX5+P3eeDXODvzXZ5y+w9xKvjOM8ZcYK3tbpj3dGPM0e7lBe6/C40xiUqpaQAp5ySPdbOWLThhkh9nDtMLwJnGmC04/z/Wuv8mhHACpX8ZY16y1v6YHlhrrwCu6Ol2ERGR8UbhU7sLgcPduQtenF/Qa3HmUbwN5y+Cd+EMkBQRERkWbnvRV92WsWONMefh7Lh1PE4l009xBn33GmpYa99w50T9DWeY+Pfdm36L88J6n9sK9x+cio9PWWsb3Na6/xhjznXbi2bRPtupEGe4eXfuwG3Zs9bebIypxhki/Wmcn68/Ab6e4aBjObDfDcC24VTOrAbOAGbgfCwmdbrPZTgBx0Hgm8D1xphv9vXxTVGI03oFThiXm3IdoNgYU2WtDRljzsH52M92b7vIDUVOcq+/x50fdRSQ486CAidEK0q5/rS1tqdd796Ds6vclcAHcWZsbcZpIfuZtbbFGPNbnIBtQT8+H0+YXnYEHCy3Km4xcBHwqrX2oFtdl7j9gzhtbqcCHwN+aYw5qZtKtOvoOqz8D908ZV8D3lcA97j/B0I4Q/NvwJnr9ChOBeJ51tp46p2stf82xvwM+JExphjnD5upu0XOd4Pagcgd4PkiIiKjjsKndh7gBGttKHHAGPMhnFkUzTh/Eex19xYREZF0MsYsxRlsvASnEsOLUwX1H5zqkBc6v/jt5jFKcap5jwdOB2I4ocuvcIKPbwMvG2NOA+7FacU6351lBE4Y8xDwgDFmobV2Jx0rnPrFWvtX+hhengFvxQkKwAnqZuO836/iVEC9F7gKmGSMmY/zsQEn5CjCCdA+jRP+PN/P53ym0/UfuW+pznKf/1s4c68SftjpvLs7Xf9jD9ffQsdd+ZLc4ONn7lu3rLV7gc/0dHsnN9HLMPEeLMb5ek1yB58f6V5txqnOqsKptrPG2UFvGhAxxlwE3Ab8yDo7NG7D+Rzeb4w52/09LeEXwL8GuL53017xnphHdgzOXDWAGiDXWvuYMeb9OGHQmUCNcXaPzHLPS+yUeC1OCHkezv/f1FbYRxEREZmAFD61exTnF68fuGX6BucXoPuMMT/A+QtplzkPIiIiGbQBpy3uGZxKjZettTUDfIw6nFlQT+HMp3kldRcv4HRjzFRr7QFjzF9wdnNLBhnW2ma3QueIAVT/jBZFOEEdwJ9wNperM8Y8D5xjrd1jjHkAp/1pM+2zMIM4bYPNxpglnSpX+rKwv8OmrbWn9n3WqHO/tfbJgdzB3XXu850OvxMn/PsrTnvb+Tizx+Lufe7FqfD6Pk5Y9xecOVVYayvdEQndtbVtstYOKODp1IIHTpvdTTg71wHMtdaG3ee+xxjzd2tt0K3Weg0nfHodZzMb3PfhSmNMcTfD9Oe6Ae5A1pdPe7AlIiIyJpmOv39ODO7w0AdwSqhjOL/cfwBnp5rZOG0CV1trX3fLvL+E84vox6y1L47IokVERGRUM8b4rLXRkV7HWGWM8Sfa/tzAJeK2J3oAT+ePrTHGk1r55w5zb7TWDttuce4g9+gIzskSEREZEyZk+CQiIiIiIiIiIsPD0/cpIiIiIiIiIiIigzPhZj6Vl5fbOXPmjPQyRERERERERETGjZdeeqnaWlvR3W0TLnyaM2cOa9asGelliIiIiIiIiIiMG8aYXT3dprY7ERERERERERHJGIVPIiIiIiIiIiKSMQqfREREREREREQkYxQ+iYiIiIiIiIhIxih8EhERERERERGRjFH4JCIiIiIiIiIiGTPqwidjzGeMMTuMMZ/tdNxjjLneGLPBfftkym1fN8asM8Y8YowpG/ZFi4iIiIiIiIhIt0Zd+AQ8DDzS+aC1Ng48bq1dApwAfMsY4zfGnAJcCBwF/Av43nAuVkREREREREREejbqwidr7QZgfw+3PeFeXAIcsNZGgPOBv7jh1D3udRERERERERERGQV8I72AgTLGvAgsBc5yD00F1gNYa2u7a7szxlwNXA0wa9asYVqpiIiIiIiIiIiMusqnvlhrjwNOA+4xxpQCYcCknBLq5j63WGtXWGtXVFRUDNNKRURERERERERkzIVPANbatcDrwArgADANwBhTDtSO4NJERERERERERCTFqA+fjDFfMsZcZoxZaIz5iHusADgS2AHcD7zbGOMBLnWvi4iIiIiISDeqm0M8t616pJchIhPIqJr5ZIyZBjwATAFixpg3A5sBC+wBTjTGfBYIANdba7e497sPpxJqP/DeEVi6iIiIiIjImPD+365ic2Uzm79zIQHfqK9HEJFxYFSFT9ba/cDRvZzy0R7u913gu5lYk4iIiIiIyHiyubIZgAMNbcwuyxvh1YjIRKCYW0REREREZALaV9c20ksQkQlC4ZOIiIiIiMgEEY3Fk5cPNXXZKFxEJCMUPomIiIiIiEwQ++uDycut4dgIrkREJhKFTyIiIiIiIhPEjpqW5OXWcHQEVyIiE4nCJxERERERkQliZ3V7+NQSUuWTiAyPUbXbnYiIiIiIiGTOjuoW8gJeInGryicRGTaqfBIREREREZkgdta0MLssj/wsHy0Kn0RkmCh8EhERERERmSB2VrcwtzyP3ICXVrXdicgwUfgkIiIiIiIyAURicfbUtTGnPJf8LB9769tGekkiMkEofBIREREREZkA9ta1EYtb5pTl8fbl01m9o5bntlaP9LJEZAJQ+CQiIiIiIjIBJHa6m1uexxUnz2FqUTa3rtwxwqsSkYlA4ZOIiIiIiMgEsMMNn+aU55Ht97JwcgG1LeERXpWITAQKn0RERERERCaAnTUtFGT5KMsLAJDr99IW1tBxEck8hU8iIiIiIiITwI7qFuaU52GMASAn4KU1Eh3hVYnIRKDwSUREREREZALYWeOETwk5AS9t4fgIrkhEJgqFTyIiIiIiIuNcOBpnX10bc8tyk8dy/F7awqp8EpHMU/gkIiIiIiIyzu2ubSVu6VD5lBvw0hqJYa0dwZWJyESg8ElERERERGSc25my011CTsCLtRCKqvVORDJL4ZOIiIiIiMg4t7PGCZ/mlqWET34vgHa8E5GMU/gkIiIiIiIyzu2obqEox09JXiB5LNsNn4JRhU8iklkKn0RERERERMa5zjvdAfi9zsvBaEwzn0QksxQ+iYiIiIiIjHM7q1s77HQH4PcaAMIxzXwSkcxS+CQiIiIiIjKOBSMx9tW3dal8CriVTxGFTyKSYQqfRERERERExrFdNa0AzO2h7S4SVdudiGSWwicREREREZFxbEe1s9PdnLJO4ZPPeTn4ll+sHPY1icjEovBJRERERERkHNtZ44ZPXSqfzEgsJ+0ONgS5+cltWKsKLpHRyjfSCxAREREREZHMaApGWL+/kbK8AEU5/g63JWY+jXVv/cVKDjWFePvyaUwtyhnp5YhINxQ+iYiIiIiIjFNHfvNhAJbPKu5ym3+chE+HmkIAxOKqfBIZrcbHdxsRERERERHpUXl+Vpdj4yV8SlD41Lea5hBxfZxkBIyv7zYiIiIiIiLShdd0ne8U8I2PmU8JCp96t/VQM8d+51HuXr17pJciE5DCJxERERERkXGuJRztckyVTxPLk5sOAfDanvqRXYhMSOPru42IiIiIiIh00RIan+FTMBJLXo4qfOpVKBoHwOsZXxVvMjaM/e82IiIiIiIi0q2yvAAAV58+r8ttPu/YDyGagu2h2liqfLrhgQ286SdPD+tzRmJO+FTVFOLxjZVYO3Y+XjL2KXwSEREREREZp/Kzfbz96Gm86YipXW8cB9nDWK18uuXp7Ww82MTWQ03D9pyJ8OmxjYf48B1r+NtLe4ftuUUUPomIiIiIiIxTsbjF082wcYAStypqLAu7gQpALB7v5czRpaLA2X3wby/tSx5raI1ktBopEuv42E9trsrYc4l0pvBJRERERERknIrHLZ4eZvz4vR6uPGUOBdm+YV5V+oSjqeHTCC5kgHzu5+TBdQcAONQUZNm3H+YXj2/N2HNGOn2AorGxUykmY5/CJxERERERkXEqbsHbQ+UTOLfF4pbHNlTyg4c2DuPK0iM1fIqOocqnutYwAHvr2ojG4tS2ONf//er+jD1nl/BpDH28ZOxT+CQiIiIiIjJOxazF08urPq/HCZ8+8vs1/OrJbcO3sDTp2HY3uit5tlU1c6gxSGs4SjASZ255HrG45UBDEJ/7SQqnoXwrFrd89/717Khu6XA8Eu348RlLM7Jk7Bt19ZXGmM8AnwV+aq39SafbrgY+DuQC37PW3uEejwBvuKc9ba399HCtV0REREREZLSytueZTwAejyE+hnc9i3SofBq970c4GuecHz7FvPI8fnP5sQAcO7uEHdUtHGwMJlsfw9E4P3x4E1sqmwf9XAcag7y6p54NB5q466oTksfVdicjadSFT8DDwOGdDxpjAkAhcCxQArxujLnXWtsE7LXWHj2sqxQRERERERnlehs4Ds7sodEc2vQllFr5NIrDlE0HnV3ttle38N83DgJw2JQCAFrDMbJ9XgCaglF+/vhWyvOzKBvEQHiLZbMbXGX7vR1u61xVFYrGEBkuoy58stZuMMZ0aXS11oaBm9yrNe4504BNQO0wLlFERERERGRMiMUt3h4GjgN4jGEMFz51mvk0et+RlnA0efnBdU74dMT0IgDawlHCWc5L8+aQc97/nL+IS4+fNajnWrW9hvfdsorSPH+H45FYnBy/l7aIEzq1hBQ+yfAZkzOfjDHFOMHTDvfQdGPMavft9G7Ov9oYs8YYs6aqSttJioiIiIjIxGAtvVY+9RZMjQWp4dNobh9sC7cHPVsPNXPlKXOYUpgNOJVPqe8HQHl+1qCf68R5ZSyanE9DW6TD8UjMMrU4O3m9KRTpfFeRjBmT4RPwFeAWtxoK4Gxr7fHAdcA9nU+21t5irV1hrV1RUVExnOsUEREREREZMTFr6S1f6hw+jfah3Z31VflU2Rjkq/94Pdn2NlJaU8KnUDTO0TOLyQk4bXFtkViXeUxl+QNvuUtVmhfgmS3VXP2HNfzmqW28uLOW5mCU4pz2aqi9dW00BRVAyfAYc+GTMeYi4CzghsQxa+1699/HgYAxJruHu4uIiIiIiEwYcdt7213n2yKxONFYnH31bZleWr9FY3G+c996DjUFuf6+9dz5/M7kbR13u+u6U9wj6yu5+4XdfPzul7ht5Y4utw+XRKsbgDFw2sKK9vAp3DV8KskdWvj0ufMWc8HhU9hU2cT3HtzIu3/9PKt31uL3tkcA1sKrexqG9Dwi/TXqZj51Zoz5ErDPWnuXMeY04P+ACxJVT8aYs4Ct1to9xpiTgCprbXAElywiIiIiIjIqxONgemu7M10rn/7w/E5ueGAjt35wBacsKE+GJJ3tqW2lKNdPYba/29vTZdX2Wm5duYNX99bz4s46AN62fDrf+vd6ZpbmJM/rbve2/W6Itr2qhevvW89HTp2b0bX2pC1l5tPkgmxK8wLJwKm7trvE7neDdfzcUo6fWwpAdXOIHz2ymXte2N2hNdEYeGlXHacuLB/Sc4n0x6gKn4wx04AHgClAzBjzZmAzYI0x5e5tB4B/GWO8wO9xdse7xxhTBrQCl43I4kVEREREREaZmLV4e+l36Vz5FI1Ztle1AHDVH9ZwyfLp/Pi9R3d739N+8ASHTSngoc92GbubVj6vs8Yd1a3JY997YAP3rt1LcW578NVdy+D+ThVczaEo+VnD/zI4tfJp4eR8APxeD36voS0S67ITXTrXWJ6fxZKphUDHNsVFkwpYu7subc8j0ptRFT5Za/cDR/dySkEPx09L/2pERERERER619AW4Yb7N/CVi5ZQlJvZCqDBiFvbpbopVZfwKR4n299e6fTKnvpu75fYlW3jMMxSSqywujmUPPbcthoAYinVTt3NfNpf37Ep5lBjkPyK/PQvsg+JmU8fOmk215wxP3k84PVw2zM7uOEdR3Y4P8uX3gk5+VnO59TjMaz+6jmEInF+8fhWHt1QmdbnEenJmJv5JCIiIiIiMlrc+sx2/rxmD398cfdIL6ULay3W9t525+kSPlnqWsPJ64snd//3/5Vbhm8X8WC06yynXTVOFVRTKJpsUYtby7t//Rx/SJkJ1Xl21aGmECOhJRQly+fhW287gmnF7a2CkwuzicbjXdruevucDUZ+lhOM+j0eJhVkM7M0l8mFWdS2hsfckHkZmxQ+iYiIiIiIDFLnyprRJJEp9Dpw3HQNn2pbwiybUURFQVaPs4f+smZv8nIwpaUsE/p6/DlleQBEYpYXd9bxv/96A3Da8A42BjllQRmfO28RMHLh09rd9Rw2pWuQ945jphO3TjiVSYlKKr+v/fNdnBvAWqd6TyTTFD6JiIiIiIgM0s4aZz7SgT52h9tW1cyWysy3qKVKVLT0kj3h6zLzKU5TMEphjp+CbB+t3QQ/1lpe2VNPgTuX6PV9md0xLRE+feGCxXzhgsUA5Pi9yfdrdlkuAI2dQpSqphCxuOWiI6fyoZPmAE7b3WDVt4a5+cltxAdYKdTQGuHl3XWcsaiiy22J2U61KdVmmRB1dwL0edojgNI8Z0e9ugw/twiMsplPIiIiIiIio8Wn/vgycWv55fuP6fb2SCzOOjd4qW2NcN9r+zlr8STyuhkWfc4PnwJg540XZ27BnSR2NuvcWpequ7a7UDROuc9Ljt9LMNw1fNpe3UJtS5gvXLCY//vvJtbuquO4OaXpXXyKRPh0yfLpTCnM5qePbeHCI6bw9JZqqptDLJpcQGF2FW/sb+xwv0TL3bSiHApzfAR8Hh5ad3BAlT5ZPg9XnjKXvCwfn/rjyzyzpZqT55exbGZxh/PqWsJccceLbO5mBlZi2Pjp3YVP7k6Be2pb8XsND37mtOR8qHRKDBx//wmzkscSw9rrFT7JMFD4JCIiIiIi0o3/vLofgF++v/vbN1c2EXJn9Tyx8RD/eXU/l584m+vffkSH80Zqpk4ifOpt4HgiePAYp00vGrOEojGy/B5yA95ug5A1O2sBuODwKfx1zR7W7Krj8nDm2sZqWpw15vi9eDyGuz5yAgsm5XPGD54AYGZpDgsm5fPKno47tyV2uptWnIMxhuPnlPLctup+7/DW3rbo4eNnzueZLdVA94PNP/XHl9lwoJHLTpid3J0v4ZantwNwdKfACtorn3ZUt1Cen8WCST3tsTU0U4tyugSfkwuzAad19NjZGXlakSSFTyIiIiIiIoPw2l6n6mlWaS67a50B2Acbg1hrOwyMTrTmDbf2truew6dzlkzmxZ21nH3YJL507+tE43FCkThZPg85AV+XVjaAF3fWUZLrZ35FHsfMKuHvL+9j6f/+N2PvR0JiF77j5zpVVongb0ZJLgsm5bN2d32H89vDJydkueuqEwb8nG/6ydOs3lHD5Se1pzOtnYK2eNyycms115w+jy9ftKTLY1xz+jxqWsL4vF2n3iTCp53VLcyfNLy78M2ryMPnMaw/0Mhblk0b1ueWiUfhk4iIiIiIyCC8treeohw/R0wvTIZPj6yv5PZnd/KRU+cmz1vfqR1suLhjfnptu5tbnsdvLl/BYxsqgUTlU5wsn5ccv4eDDV0rmtbsrGXFnFKMMbzv+FnUtoZZNqOY3IA3I+/H9x7cCLQPzU4IxxLhk1P5lCoet+yvb6Mg20eB29o2GHPK8thyqIlV22qSx1pCHavBEpVQPQ1nL8vPoiw/q9vbEq1vLeEYFT2ckylZPi9Ti7P7nFcmkg4Kn0RERERERAbh1T0NHDWjiKKcjuHGX9fs6RA+bTgwQuFTsu2u73MTVTnReNxpu/N5mFqUwzNbqonHbTLAqmoKsbOmlUuPd2YHHT+3lOPnHp+Zd8D14VPncqgp1CVEe++Kmfx5zR4mFWR3CZ9e29fAg+sOMr04Z0jPPassl8c3HWJvXWvyWJfKp8TH2TPw/byWTi1kenEO++rbmF4ytLUOht/j6baNUCTdtNudiIiIiIjIAMXjls2VTRw+rYjCTuFTYadKm/Up4VPYbRUbDrF+DBxPSOx6l6x88ntYOrWQ1nCMXbXtwUtiXtKKOSUZWHH3/F5PtyHSdy85gle/cT5ej2FBRcdZSW//5bMcagp1+VwM1MzSXMLReIePQUu4+8qnbrrq+uTxGM5dMgnouBPdcPF5zYjNJJOJReGTiIiIiIjIAIWicaJxS3Gun/K8ju1Su2pbkju0xeKWtbvaB1y3hDI3mLuz5G53vcx8Sgi4LW1/WLWLsNt2V1HovF91Kbuh1brDv6cNsaIoHXxeT7LqLLVqKNHKBmAZWrAyqzQXcIbLJ7R2+hzGYoOvfAKS86TOcUOo4eT1eIjEFD5J5il8EhERERER6UU01rVaqc0Nl7J9HsoLAh1uq2wMcdvKHYBTKdQYjHLawnIAmoLDGD4lZj71I3w6akYRM0tzeGLjIcCZr5Ttc2Y4JYI0a23ysn8wZT4Z5PUY3n3sDE6eX8bylF3lhlrUMzsZPjXjd/sXO1c+JSrMfP2oMOvOgkkF7PjeRZyyoHwIKx0cv9cQjQ9fNZ5MXKPrO4aIiIiIiMgoE+ymVS4RPuUEvMlw57ylk9n8nQs5bWE5f12zB4Bnt1YD8J4VMwGoaQkNx5KB9lCkPzlRls/Lt996BK1usJLl85Dtd+6Y2FXuzlW7+NZ/1gPtlVKjyf+9exn3fPRELjh8SvLYtecuGtJjTivOwWOcWVc5fi8Br4dQtHPbnfPx6U97Y09MPwLCTPB61HYnw0MDx0VERERERDqxtv0FeWsoSn5Wx5dOiQqgbL+XY2Y584+uPHkOAZ+HI6cXsWp7DbG4pTUcI9vvYaZbQZNoWxsO8Xj/2+6AZHUWQJbfS5Zb+RRy39c7n9+VvD0wyiqfUr3v+Fms3V3HoskFnLpwaNVEAXfw+r76NnICXuIWItGOYU2icGiwlU8jye/xEOmmsk8k3RQ+iYiIiIiIdBJOeUFe3xZhUmF2h9vbwu3h08zSXHbeeHHythkluURilkNNQVrDUXIDPsrynNa8bVXNLJ7ScTh2phxqcqqs+hs++bweZpbmsKe2jRy/N1n5FIw4H4u8lAButLXddfaDdy1L22PNKs1lX30b2X4vkZglHOu+8sk7QtVLQ+H1qO1OhofCJxERERERkU5CKa12Nc1hmNz5drftzu/tct/E8Ou9dW20hmPk+L2U52fh9RhueGAjNzywMXML78ZA5mC3hpz3a35FHlnu+5Z4X5tTBm17x2CVz2DNKs3l+e015Pi9hCLxLjsWJrKbsfgx8XkNbRG13UnmKXwSERERERHpJDVg6G5OU1vYuT27m/BpRjJ8aiUYiZET8JIT8HLnh49nb31bhlbc1artNfx97T6KcwN9n+x617Ez+M3T21k8pSBZ3VXZGOK1vfVUNw/fvKrRZFaZ0zJprdOG1zl8SlY+jcHwye/1aOaTDAuFTyIiIiIiMmHd+fxOCnP8vO3o6R2Op+5KV9PcdU5TYuZTt5VPxU74tKe2vfIJ4ORh3s3sPStm8pWLliRb/vrji286jP931gJyAz4SY69+9MhmfvTI5gytcvRLzOuqbwtTkO3v0JIJEE8Odh974ZPXYzTzSYaFwicREREREZmwvv6vNwC6hE9VTe1VPq/tbehyv7bkwPGuPW3Zfi9FOX5qmkNO+BToGlANl/L8rAGd7/UYinL8gLPjnbSHiYnd7sKdBo5H42M3fPJ7tdudDA99NxERERERkQmpppc2skNNQQAWTc7n6S1VHXa/A6hrdaqhemppK8zx0RiMEozEyB3B8GkofKN8qPhwWTg5H7/XcN2FS5y2u06VQrExHD55PZ5keCaSSfpuIiIiIiIiE9Khpp7Dp8pG57Z3HjODqqYQGw40dbj9QEMQv9f02NJWmO2nsS3Soe1uLDp1QXm31V0TSWG2ny3fvYg3HTHFnfnUcbe7ZPg0Bne782u3OxkmE/u7iIiIiIiITFgtKbu3dfba3nrK87N4+3KnHW/l1qoOt1c2BJlUkI2nh2qXwmw/jcEITcEIBdljd9rJXVedwGfPXTTSyxg1nLa7zgPH3fDJO/bCJ6/HEI2p8kkyT+GTiIiIiIhMSE09hE/WWlZtr+HEeaVMLsymLC/AjuqWDudUNYcoL+h5nlJhjo+mYJSGtsiAdpsbjXxjsJ0sU7pru4uP4conn1dtdzI8FD6JiIiIiMiE1BzsPnzaWdNKZWOIE+eVATCtOIf99cGO9w1FKeyloqkw209VU4hgJJ4c4D1WBTR4PCng9RDpYeD4WAzpfB5DVLvdyTAYu/WfIiIiIiIiQ9C57e5Qk9NKt2p7DUAyfJpalM3OmpYu951ckN3jYxfm+KlpcYaSj/XwyedpD59+8f7lXdrOJpKAz8OmyiZqmkPc8sx2JhVks2RKAUCPLZijmc9rVPkkw0IRtoiIiIiIjCvxuGVXSli0vaqZ3z+3k3+8vBdrLdurmgGneinhhgc2cPx3H2PTwSZe2F5DeX4W8yvygB4qn4JR8vuofEoY8+FTyiyjNx81jXccM2MEVzOyFk3OB2BTZRO/eWo719+3fkxXPvm9Hs18kmGhyicRERERERlXfv30Nn7w0CZ+d8VxVBRk8eafr0zeFo7G+dK9r/OXa06iKaXt7pantwOwv6GNV/c2cOzsYow7w2dacTbNoSiNwUgyVGoKRcnP6iV8ymm/bX5Fflrfv+HmH4ODtDPlrMMmcdPDm2lsa//aiVl35tMYDJ+8HkNbJMaFP32GS5ZP4+rT54/0kmScUuWTiIiIiIiMK6u21wJw5R0vUt0cSh7PC3h5eXc94Oxm191udx5jaApGKMtvHyY+rTgHgP31bWypbOL5bTW09BU+pVQ+LZlaMKT3Z6T5vXrZmJD4vDYGI8ljsdjYDZ8uPGIKFxw+mdqWEH9fu2+klyPjmL6LiIiIiIjIuBVKmU9Umh8g7lapVDYGO7TdJTQHo7SEYuQFvMljxTnObnWNbVGuueslLv3tKuKWXtvuEhufnTy/LFlBNValznya6ArdFsrGtvbwaW9dKzA2w6ejZhTzm8tXcPrCCjYebOKZLVUjvSQZp/RdRERERERExhVr22fYJEKC0xaW0xSMsrvWCQrqWyM0haJMKsjqcN8NBxppi8TIDbQHS9l+52XTrc9sZ3tVCxccPplPnb2Atyyb1uMaDp9WBMCnz1mYnndqBKntrl1Blg9jnK+fhG/+Zz0wNsOnBJ9b3fbLJ7aO8EpkvFL4JCIiIiIi41aDGz7NLM2lORhlV40bPrVFaAlFmVrUcce6X7gvvvOy2iufsv3O5YfXVwJwzRnz+Z/zFzPdbcfrzuIpBez43kXJHfPGMrXdtfN4DMU5fl7dWw/A4dMKk7eNxYHjCV+8YDEAR7ihqUi66buIiIiIiIiMWzUtYQCmFWUTjVsONDi71jW0RWgORsnrYW5TSvFUsvIJnAqqY2aV9Ou5x3q7XYJPlU8dvP+EWTyzpRqAS4+flTwe8Hp7usuoV5IXoKIgq9tWVJF0UPgkIiIiIiLj1t66Nopy/MlZPQmNbRGa3aHhuYGuoUFLOJa8nOVrv31ueV7mFjtKqfKpo4+fuSB5OXWm2PSSnivhxoKCbB9NCp8kQ/RdRERERERExq3tVc1MLcpOts4BzCzNYV99G9urWphVmktZvjNQ/Nwlk5LnBCPt4VNOQOETtA9Rn+jys3zcceVxAMyvyOOI6YVk+z1jeuYTOPOsmoIKnyQzet6eQUREREREZAxKbZnbUd3CcXNKO4RPJ88r589r9gBw/uFTyPZ7+cUTW7ni5Lk8uuEQAFefPi95fup9J2L4VOxWjaV+XCe6MxdPYv23LyDH7+WUBeXJXRTHsoJsP03BSN8nigyCwicRERERERlXLO1BQGs4xqSCLHLcAGlueR4F2c7LoPL8AMfOLmHF7BLee9xMZpbmcu25izhuTgnl+e274GX72htG5pXnD9N7MXrMKc+joiCLtxzV8+5+E1FiR8TxshtgQbaPysbgSC9DximFTyIiIiIiMq7lZfmS4RNAljtA/PSFFclWqZmluQB85tyFXe7vS5l5NNbn+gzW6q+cM24GqEv3CrLVdieZo5lPIiIiIiIyruUEvB12rEvsSlaU6+/pLj0a63N9BkvB0/iXnzX0trtQNNb3STIhKXwSEREREZFxpfP4nRy/t8PcpoDbRucdQKDyy/cfwyPXnp6W9YmMRgXZPlrCMWLxwc2v2l3TyuKvPcQ/Xt6b5pXJeDDqwidjzGeMMTuMMZ/t5rarjTEvG2M2GWOuSDl+lTFmnTHmeWPMvM73ExERERGRiSPqvngOuO1yTvjU/tInkTkNpIrp4qOmsnByQfoWKTLKJGahNYe6tt7duWoXO6tber3/xoONANz36oH0L07GvFEXPgEPA490PmiMCQCFwLHAycANxpgCY8ws4IvA8cB3gV8P41pFRERERGSUCUXjnLGogkVTnOHg2QEv0B40JXYmUyuZSLvCbKcNtXPrXTAS4+v/XMe7f/N8r/dPVEzp/5V0Z9SFT9baDcD+bo6HrbU3WWvj1toa95xpwDnAA9baVuABYLkxZuDN2yIiIiIiMi6EIjECPg8luQHAqXwqzHGqOo6fU5psy5ug45tEupXvVj51HjqeqISqagr1ev+GNie08o66lEFGgzH5ZWGMKcYJnnYAU4EDANbaOFADVHQ6/2pjzBpjzJqqqqphXq2IiIiIiAyncDROls9DaZ4TPllrmVSQzUOfPY1vv/3wZIXGRB0eLtKdRNvdv1/dz/cf2pg83tJNG153alrCABj0/0q6GpPhE/AV4BZrbRgIQ4evbgN0iGSttbdYa1dYa1dUVHTIpUREREREZJwJReNk+bzJyqf6Vqci47AphWT5vMm2O4/ag0SSCty2u5uf3MbNT25LHv/pY1v6df+aZid8aotoxzvpyjfSCxgoY8xFwFnAKe6hA8AJ7m0eoASoHZnViYiIiIjISAtF42T5PZy3dDJ3PLeTI2cUdbg9sZmXKp9E2uVndR8P/H3tvuTl+17rMiEHgNyAl5oWpwakv5VSMrGM+vDJGPMlYJ+19i5jzGnA/wEXuFVP4Awo/4YxJg84G3jW2s6bq4qIiIiIyEQRisbI8nk4ZUE5b3zrAvI6vag+fWE5P3tsC6cuLB+hFYqMPoXZHf+fWGupau445+mT97zc5+N0t1ueyKgKn4wx03CGhk8BYsaYNwObAWuMKXdvOwD8yxjjBX5vrf2xMeZG4AWgCbh0ZFYvIiIiIiKjQaLtDugSPAGsmFPKzhsvHu5liYxqiba7hEjMsnZXXfL6j9+7jCOmFXW+G3EL/+/ul9hW1QIofJLujarwyVq7Hzi6l1MKerjf7cDtmViTiIiIiIiMHdZawtE4Ad9YHW8rMjKy/R58HkPU7Uutag7xsbvWAvCDdx3FJctn9Hjff3ziFL70t9d4eH2lwifplr4ji4iIiIjIuBGOxQHIUvgkMiDGGPJTWu8O1LclL79nxcxe71uY7efmy47lmtPn0RyMokk40pm+I4uIiIiIyLgRiip8EhmsgpTwKbFr3efPX9Tv++dn+4jGbfL/oUiCviOLiIiIiMi4EYq44ZPfO8IrERl7CrLa5z61hJzwaW55fr/vX5obAKCmJdzHmTLRKHwSEREREZFxIxR1XjCr8klk4FIrn1rDzuwmr8f0+/6TC7MBqGwMpndhMubpO7KIiIiIiIwbarsTGbzU8Kkl7AS5vgGET5MKswA4pPBJOtF3ZBERERERGTfCCp9EBi0/K2XmU6LyyTuYyqdQehcmY56+I4uIiIiIyLjRXvmkmU8iAxVICW03HmgCBlb5VJobwOcxaruTLhQ+iYiIiIjIuBGKaOaTyGClhrZ/f3kfMLCZTx6PYVJBliqfpAt9RxYRERERkXEjWfnk10sdkYEKdBPa+jwD+780qTCbQ02qfJKO9B1ZRERERETGjUT4FPCq7U5koBIVg0unFiaPeQeYGkwuzFLbnXSh8ElERERERMaNsCqfRAYtUfmUl9Ue3noHWPk0uTBbbXfShb4ji4iIiIjIuBGKauaTyGAlwqfUVruBDBwHJ3xqaIsQdOeviYDCJxERERERGUe0253I4CX+3/i87YHTQAaOA8wqzQXg9X0N6VuYjHkKn0REREREZNzQbncigxdwQ6e8gC95bKCVT6cvqgBgzc669C1Mxjx9RxYRERERkXEjHHMHjit8EhmwROVgSV4geWyglU95Aad6KuL+XxQBhU8iIiIiIjKOhCKJtju91BEZqJaQUzlYnOtPHvMNcOB4IqyKKnySFP36KjLGlBhjBt00bYwpGOx9RURERERE+isUjeP1GHwD3R9eRGiNRAEoyG5vu/N6B1b5ZIzB7zVE4xaA3z+3k6c2V6VvkTIm+fo+BYB9wLuAB4wxy4HT+nMna+3PjDFFwAvGmD3Am6y1GnkvIiIiIiIZEYrGVPUkMkiJYeGLJrXXjwx05pNzH08yfPrGv98AYOeNF6dhhTJW9Td8Sv1qOxv4Qcox28PlOPAz4FZgHvB5BU8iIiIiIpJJoWhc4ZPIIL3/+FkcNqWQY2eXJI8NdOYTOIGVZj5JqqF8Vy4GFgFYaz2dLi8FPMaYdwPvBD5trb1vaEsVERERERHpXTgaT24XLyIDY4zpEDzBICufvIZozGKtTdfSZIwbSPh0jDGmpNMx28tlCxwCfmSt/fUg1yciIiIiItJvoWhcO92JpNGgKp+8Hu5ctYt71+7rctu6fQ3Mue5+9ta1pmN5MkYM5Lvyt4Aq4Kv9vYO19ingiwNdlIiIiIiIyGBo5pNIeg10t7tUf35xd5djd7/gHHtyk4aQTyQD+Sq6HDgdeKi/dzDGXAw8OpSd8kRERERERPorFImT5Vf4JDJUx88tpSDLN6hKwmDEGff84s66LrdF3VlQ/gHuoidjW38HjgPUW2ufM8acBLwXeAtQBGCMuQSYmnJ5hnuf/cBJwI+Az6Rr0SIiIiIiIt0JaeaTSFr88aMnEovbQbXdhSI9DxtP7II3lIoqGXsGEj6lMsCdKdfv7eaytda+bIz5NvAdY8y/rbWPDfL5RERERERE+hSKxgh49aJWZKi8HjOo4Akg3MtOd4ld8HyqfJpQ+vtd+U5gj3v5J0BBP94K3fN/COwDfm2MyUrLqkVERERERDqJxy07a1opzvWP9FJEpAfRmFP55FdIPKH0q/LJWnu1MeZxY5LJZIO19pLO5xljLgfWWmvfSLlv2BjzccBjrQ2lY9EiIiIiIiKd/e+/11HVFCI3MNgGDxHJhMLs9v+Ticona0dqNTISBvJd+UzgBzg73mGMuRW4xVq72r2+CPgN8JwxpqcI8z+DX6qIiIiIiEjP7lrl7KLVFIyM8EpEBGDBpHy2HmruUOUUcWc+RXppzZPxZ6B1brdba38I3Ad8GFhpjLndGJMD3AysA34LLAdedd92A2cAr6Rr0SIiIiIiIiIyut191QlcevxMwtH2oCmx253Cp4mlX5VPxpijgc5FcRZnJ7u7gK1AGXAscBhQZa291r3vYcDl1trPpWnNIiIiIiIiXUwrymZ/Q5BvvPXwkV6KiACleQEKc/wdBpAnZj5FYuq7m0j6rHwyxvweWJtyfQWQD2CtfQk4D5gMVNI+lDyVvqJERERERCTj4hbes2IG04tzRnopIoIzVLww208oGqctHAMgEneCqGhclU8TSX/a7v6OU+GUcDewCsAYkwt8AtiOEzLdne4FioiIiIiI9Ec0HtcOWiKjzJyyPAB2VLcA7ZVPqa14Mv712XZnrf0XgHG2urM485yuAb6GE0LdBXwSiAEPu//ONsasdx8i4N59PXCUtTaa7ndCREREREQkHFX4JDIafPnCw9hd2wrA3PL28GnptMLkrKdoXE1SE8lA9yD9FFANtALLcKqirgJOstbWGGP+BLwH+CoQ6ub+sSGsVUREREREpEfRuMXvNSO9DJEJ75oz5icvzynPBWBHdTPQHjpFVPk0oQwkfLoHKHHfGq21e40x5wJfB4LuOT8AzgL+Ya3dktaVioiIiIiI9CISU+WTyGiTG/AxtSib7W7bXaLdLqLKpwml3+GTtfaybo41Al9Iuf6qMWahtbYlTesTERERERHpk7WWSMziU/gkMurMLc9je5UTE7RF3MHjMVU+TSQDbbtLMsbMtNZ22d1OwZOIiIiIiAy3RCtPQG13IqPO3PI87n5hN9/89xvJXe8e21BJVVN303og4PPwwZNmc9iUwuFcpmTQoMInY0w28JIx5uvW2t/0ce4pwEestR8ezHOJiIiIiIj0JVFFoconkdFnXkU+AHc8txOPmw+3hGI8v62m2/PrW8P8dc0e7v34yRw1o3iYVimZNNjKp3cB5UBD4oA7/+lz1tqLOp27APgQ0K/wyRjzGeCzwE+ttT/pdNtxwHeBCmvtcvfYHOANIDFj6k/W2hsH9u6IiIiIiMhYFnG3b9fMJ5HRZ647dBwgbuFbbz2cD508p8fz99S2ctoPnuClXXUKn8aJAYdPxhiDM+dpK/CXlJumAxekYU0PA4f3cNtO4OfA9Z2Or7bWnpWG5xYRERERkTEoUfmktjuR0WdmSW6H6zNKcno9f1pxDh4DtS3hTC5LhtFg/izwfuBI4Bagy1eMMeYcY8xfjDEVg1mQtXYDsL+H26qA17u5qXYwzyUiIiIiIuOD2u5ERq+FkwsoyGqvfZnRKYzqzOsxlOQGqFH4NG4M6DuzMSYPp+roYeD7wDt7eMxTgA3GmEuGvML+OcYY87Ix5iljTJeqKWPM1caYNcaYNVVVVcO0JBERERERGS71rRFAbXcio9VZh01KXp7eR+UTQGlegNpmhU/jxUC/M/8IKAY+AnRbz2qtfQSYD/wMuAc4aQjr64/dwIXuDKjf4VRkdV7TLdbaFdbaFRUVgyrIEhERERGRUWrroSYu/OkzAPg8arsTGY0SwXBJrp/8rL4nAJXmBdR2N470O3wyxrwD+CjwSWvtvt7OtdYGrbXfBo4BXhjaEntnrY1baze6V/+CE3yJiIiIiMgEcbChfbv2wpzB7qkkIpkU8DnBcH+qngDK8gNUt4T6PlHGhD7DJ2PMTGPMycBdwI3W2ntSbra93ded3xQfygKNMV8yxlzWy+1vMcaUulffArw8lOcTEREREZGxpS0SA+CGS47k9IXqdBAZjRKVTzOKe5/3lKDKp/Gl1z8LGGN8wEpgEvBna+1XOp3yZWPMle7lKe59Hu90zpT+LsYYMw14wL1PzBjzZmAzbshljLkVOBmYa4x5Bfh/QD3wsDEmB6gBPtjf5xMRERERkbFtb10rH/3DGgCOn1uqgeMio5TP44ZP/a18ysuivjVCNBbX/+txoNfwyVobNcb8GmfIeIUxxmetjaackg0UpFwm5TqdjvfJWrsfOLqX26/q4aYV/X0OEREREREZP17b25C8nBPwjuBKRKQ3iQrFKUX9iwgSIdWGA00cOaMoY+uS4dFnfGit/R7wHuBc4C5jTOoEv29aa4+z1h4HfNs9/7jUt8RxERERERGRdAtH26d85PgVPomMVkE3fCrM8ffr/DMWOy20L+6szdiaZPj0q3bNWvt34CqcEKqnMKnL/CdjTHZ3x0VERERERNIhUU0BCp9ERrO2sPN/tT873QGU5gYAaA5F+zhTxoJ+N05aa+8EfgV8yRhzYm/nGmPyjDHfBw4wgJlPIiIiIiIiA9Eabg+fsnyaCyMyWiWC4v6GxD6vh2y/h311bXzvgQ1EYkPay0xG2ED3If0Czo5yf+jpBGPMKcAfgRzg/4DgoFcnIiIiIiLSi7Zwe1WEx2N6OVNERlIifMoeQIVifpafP6/ZA8AR04t4y7JpGVmbZN6A/jRgrW0DrgMWAD8D/tLNaXk4O9YtstbegLMbnYiIiIiISNqltt2JyOjldcdH52UNJHxqPzduNdFnLBtwXaq19o/Ai8CHgKxubn/YWvsxa21dGtYnIiIiIiLSo0Tb3VNfOHNkFyIivfrhe5bx6bMXcMS0/u9cl5/d3qzl86itdiwb7GfvZ0ARcHXKsR10XwklIiIiIiKSEcFIjIqCLGaX5Y30UkSkF9OKc/jc+YsH1B6bOpzcq+xpTBvsp++vwH6gOXHAWvu0tfbSbs5dB/xokM8jIiIiIiLSo7qWCIXZAx1lKyJjwbKZxcnLoagGjo9lgwqfrLVh4Ehr7c39OPcla+0XBvM8IiIiIiIivdl4sJHFUwpGehkikgHvOmZG8nJzKModz+6gJRTt5R4yWg0qfDLGzBnoTCdjjH4iiIiIiIhI2jSHouysaWXJlMKRXoqIZMDCye0xwhMbD/HN/6zn6/9cN4IrksHqV/hkjPmyMabUGDPHPbTeGNPv4MoY803gnoEvT0REREREpHsbDzQCsHSawieR8eq/nz0dgMrGEACv7K0fwdXIYPU3QDoPKABec68bAGNM3BgT6+Et6p5zMfB14EC6Fy8iIiIiMtHtqW3la/98nWhs4s1DWa/wSWTcWzQ5H2Ngd20rANk+7wivSAZjsAPHLW4ABfw/4BNAzL0cdv81xpjpwO+Bx4CPDW2pIiIiIiITR11LmKv/sIbtVc29nvfFv73GXat288qe+uFZ2Ciyfn8jJbl+phRmj/RSRCRDjDFk+7w0tEUA8Hn7v1uejB5D3qzQWvsba+2vgai19jdAxP3XAF8GGoH3Wmsn3p9iREREREQGad3+Bh5eX8nH71rb63mt4Yk7fHdnTQvzKvIxRi9GRcaznEB7tZMGjo9NfYZPxphiIACUO1fNpAE8/peBNw90OLmIiIiIyEQXjDh/uw1FY72eF4lZAJom4AuyQ00hJhdmjfQyRCTDcvzt4VNTcOJ9rxsP+lP59EfgZGA1kIszu6lf3+GttU3W2vWDX56IiIiIyMTUFnFCp76qemJxJ3xqdFtSJpJDjSEmFajlTmS8y/a3RxcKn8am/oRPPwE241QxhYCrgX59to0xRcaYIwe9OhERERGRCaqtH+10jcEImyqbnMsTLHxqCUVpDkWZpMonkXEvO6XyqS0SI+6G7jJ29Bk+WWv/C+wH/owz1+k2nOHi/XEt8NAAW/VERERERCa0eNxS3+qESZ3rnupbw/z4kc20hWP86oltyeMNEyx8OtTkbLs+WZVPIuNels+JLhKFoOEJuLvnWDfkgePGmGuNMZ8DvO6/fvdfC/wWyMbZ8U5ERERERPrhM39+he89uNG54r7YCkZitISifOne1/jpY1t4avMh7n99P+cumUS230PjBGtFqWwMAqjySWQCSIRN04pyAIgofBpz+hs+mU7/ghMuHQK+CHwBqHX/rXf/rbTW7nMvn2+MuSQdCxYRERERGe/+8+r+5OVEe8klv3qOw7/x32RF1Lp9jeypbWP5rBKKcvw0tE7QyqdCVT6JjHfNbrg+vdgJn8JRhU9jTX/Dp4eBJuAk97oBrLV2irV2qrV2KjAPmJ+4bq2dhnPS7cCrwDfSvHYRERERkXFp2Yyi5OXErncbDjQCsK2qBYDnt9cAMLM0l8JsP43BiRU+7atrA2BKkcInkfFuf4NT6TijNFH5lJ6ZT6FojAt/+gzPbq1Oy+NJz/oMn4wxi4EF1tpaa+069/BTwM0p50wFVgJrjTFF3TzMDe5tQ27zExEREREZ71JfViV2vUuobnYqftbtawAgP8vrVD5NsJlPO6qbKc/PojDbP9JLEZEMO3NRBQAnzC0F0td2t6umlQ0HGvnaP9f1fbIMia8f58wF3g18JOVYHTAJwBhzNHAfkAW801rb0PkBrLV/A/421MWKiIiIiEwEzaEo5y2dTEVBFn9ds4cnNx0i4PV0GLIbcttOcgM+CnP8HHArAyaCUDTGk5uqWDwlf6SXIiLD4GeXLqc1HGOlW6EUSlPbXWKXUE/nnR0k7foTPj0BBIwx9wDN7rHjAI8x5rfAe4B84EngMmPMZT08jrXWXjPE9YqIiIiIjHutoRgluX5mlOQQiVmu+N2LHW4vz89KVkDlBXwsnJTPM1uquOPZHXzgxNn4veO74WDboRYONYW47sLDRnopIjIMsv1esv1eAl4nJUpX5VOVOzvOq/Qp4/r8qWStDQEvAWfjzHw6CSgDZuNUQxW4p05Pub2nNxERERER6UNLKEpelq9LS1mO3wvA8lnFyWO5WV7OWzoZa+Gb/1nPk5uqOtxn3b4G5lx3P1sPNTNe7K5tBWDhpII+zhSR8SQRrKdr4HiVG+J7jMKnTOvvn0ReBe621h5prT0SeAj4N3A6cAcQBnKBXwHLEud1ejsqA+sXERERERlXrLW0hKPkZzntdAnvOnYGFx4xBYC55XnJ43kBHyvmlPLqN87H7zW8tKuuw+P965V9ADyyvnIYVj889rjh06zS3BFeiYgMp4DPiTDSXflk0zO/XHrR3/DpDZzd7FJZa+1Ka+2HceZC/Q34MfCyMWZ5GtcoIiIiIjJhRGKWuHXaTAqznSkZ5flZ3PTuZVxzxnymF+fwoZPnJM/PzXKqofKyfBw+rYi1ncInr8f5lT+aphdro8GeulYKsn0U5WrYuMhE0lPlUzxuCUVjA37bX+/MyqttDbO5smnY35+JpD8znwBeBxalXK8BAokr1tqDwOeMMb8Cfgs8Z4w51Vr7UtpWKiIiIiIyAYSizu52Wb72vxMvnOQM1l48pYBnrzsbcAbkxi3kuq14AMfOLuGuVbsIR+PJCgGfO8tkR3ULK7f0vJ34tqpmXt5dxw/fc/Son3+yu7ZVVU8iE1Di+1q4U5j+wdtXJ4eRD0ZVU4jzf/w0f/vYSayYUzqkNUr3+hU+WWufBp5Ouf7JHs7baow5G1ih4ElEREREZOASf9HP8nk4bk4pFxw+ma9dvLTLeY987gyag1F8KcPFj51dwm0rd7D+QCNHzywGoCUcBeDvL+/j7y/v6/P5v3ThYUwtyknDe5I5u2tbWTxZ855EJpqAN9F217FP7tW99ayYXcJZh00a0OP93383dbi+t66NFXOGtETpQX8rn/rNWmuBDttxGGNmALXW2tZ0P5+IiIiIyHiS2EI84POQl+XjN5ev6Pa8+RX5XY4dO7sEgLW76pLhU3VzmIDXw90fPaHX5/3Gv95g/YFGWsOxIaw+8+Jxy966Ns5dMnmklyIiw6y7trtgJEZTMMqZiyv4xFkLBvR4Hzl1Lv9+ZT9fvPc1QLveZVK/widjzDt6us1a+/dO574Z+BpwvrW20RiTBzyIMxPqW0NYq4iIiIjIuBdKVj55+zizq8mF2UwvzuGl3XV8mLkA7Kpp4YR5pRzXRyvJtect4qN/WENraHSHT4eaQoSjcWaq7U5kwvF7nXAodeB4TUsYgLL8rAE/Xrbfy+Si7OR1n8KnjOkzfDLGeHGCIwuYlH8B4qmPYYxZDNwN/AkIuYdvBkqBW9K2ahERERGRcSqcUvk0GMfOLuHFnbXJ6zuqWrjkmOl93i8v4IRdiTa90aqmxXmZUTGIF5oiMrYlKp+i8fa2u2p3x7ryQX5PKMtLjrPGo/ApYwbyE+1M4Cyc4GkucB7tIRTGGD9wD07n3TXW2pAx5m3AB4DLrbUH0rZqEREREZFxqruB4wNx7OwSDjQE2V/fRixuaQpFKcvr+0VZbpbzN+XWUR4+tbiVWflZaZ8gIiKjXKItLhZvr3yqbk6ET4Fu79OX0pTwydpeTpQhGchPtH3AXpxwaZd7GQBjjA/4HOAF8t1jRcAvgd9Yax9P24pFRERERMaxobTdQfvcp5d21RGMOEFNTqDvX/vzs9zKp1HedtcScsKxvKzBfXxEZOxKtMWlDhxvD58GV/mUGj513kVP0mdwf05pZ4wx7wK+A/wL+Lp7rACn4skDXDfE5xARERERmTCG2nZ32JQCcvxeXtpVR5sbPmX7+w5qcgNjo/KpORk+qfJJZKJJ7O4ZS227a3ZmPlUUDC58Sv3+GIkqfMqUoYZPFigArgJ2Aqvd44XAb4C3W2sbh/gcIiIiIiITxlDb7nxeD8tmFrFmVy27apzNpvsTPiXCnKbg6A6fEuGYwieRiSfRdpc686m2JUxuwNuv73N9UeVT5gzkJ1q33Y/W2t8BG4HLgGacOVAF1tqYtXZ1d/cREREREZHuJSqfsvyD/zvxsbNLWLevkXfe/BzQv/CpMNtHjt/LgYbgoJ83Xerc3au605yY+RRQ+CQy0fi6mfkUisaGHDzd9O5lQPv3X0m/gfxE+zXwKwBjzN+Bn6fcdiPwSaDVvf5vY8xrKW8vGmM+nJYVi4iIiMioVd0c4kBD20gvY0xLtMoNduYTtM99SsjpxwszYwzTirPZXz+yn7/ntlaz/PpHeHpzVbe3J2Y+5Wrmk8iE4+1m5lM0ZpOh1GCdf/hk93EVPmXKQMKnIvcNoCTlMsAh4EjgCJwAqhbYlfIWBr7XnycxxnzGGLPDGPPZbm47zhjzsDHm5U7Hv26MWWeMecQYUzaA90lERERE0ujEGx7jpO9pr5mhaGxzwpXC7MFX9iyfOfDwCWB6SS77Rjh8enVvAwCPbajs9vaGtgi5AW9yy3URmTj8KTOfdte08qHbV1PTEh5y+BRwHzeUUvl09R/WcOXv1MyVLgP5jv1+nNY6rLVnAR/CGS5+HdCE0253KU7r3Y3W2rck3oArgHJjTH++Ih4GHunhtp04FVfJxzHGnAJcCByFM/S8XyGXiIiIiKRXTXMoOYcjsfvQcLv+vvUc/e2HOTgKWscG65+v7AOgKMc/6Mcoyeu45Xh2P1v4po+Cyqe4u9d5T7OnalvCHXanEpGJI5ExReOWPzy/k6c2V/HI+srkIPLBSoRPqZVPD6+v5IlN3VdgysAN9DNku7n8LWAeEAGOwQmf8jvdzwBV/Xk+a+0GYH8Pt1UBr3c6fD7wF2ttHLjHvS4iIiIiw2z9gfZ9Ziobhz/8WbmlmttW7qC+NcLmyqZhf/50eGN/Ay/vrgcY8oupuz5ywoDvM60oh+rmMEG39W8kJMKvlh523atpCVOm8ElkQjLG4PMYYvE4M0tzk8eHWvnk8TiPq5lPmZOOWtW7gR8APpzB4zOBImPMfGPMD9xzdgOzrLWZ+Ck2FTgAYK2tBdR2JyIiIjLMIrE4P39sa/J6SyjGntpWHnz9wLCt4YlNh5KXq5pGpvJqqP6+dl/aHuvUheX8/sPHAzCnPK9f95lWnAMwYkPHrbU8sdH5PNY0tw8dD0Zi/PvV/VhrqW0JUZY/uC3VRWTs83oM0ZgllrLjnc87tPAJnPbk1nCMQ01jt3J2NBtq+GSBa4FS9/ozgB8oxAmh/scY83FrbdBa2/OWFUMTJqUND+jym4Yx5mpjzBpjzJqqKpXNiYiIiKTbFb9bzeqdtVx24izAGQr9od+t5uN3r00OiM60tbvrWDq1EIDX9zXQFh656p3BiMTi/OuV9IVPAGcsqmDnjRdT3s+wJhE+3fTwprSuo7+qmkPsd4Ov2pQd7x5ad5BP//FlntxcRU2z2u5EJjKfxxCN2+TmDABx28sd+qko188j6ys5/ruP8cAw/uFkohhI+HS8+4Yx5rTEZWttA3C9e85GnIHj5dbaJ4FvAD82xhybrgV34wAwzV1XOc6w8w6stbdYa1dYa1dUVFRkcCkiIiIiE9P6/Y0snlzAB0+aA0BzKEp9awSA1TtqsTYNrwx6EYzEWLevgdMWlVOS6+eO53by1X90ntYwuj29uYrq5jBfu3gJD197+oisYbobPt3/2si88Np8sBmAhZPyqWoK0RiMEI9btle3AHDfqwfUdicywfm8HmJx26E9eHtV85AftyjHn9xw4Y39DUN+POloIOHT3e6bAZ4Cfp9y223Ao0AjsAqYBWCt/Q7OAPE7jTGD+glhjPmSMeayXk65H3i3McaDM/D8/sE8j4iIiIgMTms4Sl1rhLctn0Zeli95bEaJE2RceceL3P7szoyu4Y39DURilmNmlfDXj53MxUdN5T+v7U/LC5Lhsm6fMzPrgyfNYdHkghFZw5Si7BF53oRN7qyuCw6fQlMoylHffJgTv/cYT292uhf+8fJewtE4ZfkKn0QmKqfyKd6hujUdlU/Fue2bPOQGBr/bqHSvPwPAY8ASYKn7b+rbUveckLX2AmvtHuBJ4GDKQ3wKmO3+2ytjzDRjzCvAx4AvGGMede+bqGy6FXgAWGyMecUYc7K19hXgPpxB5G+lvQpLRERERIZBYkD09OIc8gJeAJpDMfKz2n95/9tLezO6hvX7neBm2YxiFkzK59pzFxGJWV7c2aUoftRqDEbIC3gJ+NIxlnVwAj4PHzxpNgCh6PC3LW4+2ERZXoCT57ePcT3UFOKVPfXkBrzJF5ileZr5JDJRJWY+taV5Y4RorD3BamyLpPWxxRkS3idrbb+bvt1qp9Tru4wxX8YJjfq6737g6F5uv6qH498FvtvfNYqIiIhI+lS7g6HL87OSlU/PbKlip9sqBdDWw85l6V+DUxEzuywXj4G9dW0Zfd50amyLUJjj7/vEDEtUXdW3Rphc6B3W595Y2cTiKQUsmtJe+XXMrGLW7q5n2Yxint9eA0BFgcInkYkqMfMpHEvvznQnzivjhR3OHyy2VbX0cbYM1LDUkllrfzYczyMiIiIiwy+xK1lZfgC/18PlJ87m7hd2dWiDiGVw5lN1c4g/rt5NYbYPn9epGvJ7PUwtyukxfGoORXlsQ2WHv3SPpIqCLOpawxRmj3z4VJLrBHh1rWEmFw5fG561li2VTbxnxcwOA9I/c+4iPnT7ak6YV0pBto+H11dywtzSXh5JRMazxMyndFdnfvbchbz/hFmccMNjbK9ub9mOxuLJny0yeGpkFBEREZEhqW1xNhtO7EB2/duP4K1HT+PPL+7h+LmlfPFvrxGMpPcv1Kne8+vnOdQU6jKEujw/QHVzl42QAfjlE1u5+cltGVvTYHmGvlv4kBVkOy8RmoPDs0thQlMoSms4lpwVlrBkagEvfOUcSvMCxOKWpmCUbP/wVmSJyOiRrHyKWgqyfTSl6XuVMYZsn/O9ZXtK5VMoqvApHRQ+iYiIiMiQHGpyAp5ExQzAcXNKOW6OU52yr66Nnz62hVA0RpYv/aFBYie0SKcWjJK8QLIqqyUUTbYEVjWFuPnJbRw2pYBbLl+R9vUMxuv7GvjEPWvxmJFPn/KynM9RS3h4Zz41uLsjFrmth0U5fhraIhTl+JNfN34vCp5EJjhn5lOcaDxOXiB94ROA39f1e3A4Gkdj5oZO4ZOIiIiIDMlz22o4cnoR/h7+Mrx0WiEA9716gHceOyOtz32gob2tztupbKgkN8DWQ808vrGSj921lns/djJHzihi/YH2XeVmleWmdT2DNassl0mFJyWrjkZSYpen1tDwVj41tHUMn/7zyVNZtb0mI4GliIxdXrfyKRa35Gal9/uDz9P151gomrnK3YlEtWMiIiIiKVpCUV7a1XWHtH31bVz1+xeT1RkCdS1hdte0snZ3HWcfNqnH885fOpmSXD+rd6R/57lntlQnL08p6tiuVZzrp741ws7qVsLROF//1zriccvWQ84sj/OWTk77eobiuDmlHDalcKSXQZ4bPg135VO9+3+r2K2gm1WWy3uOmzmsaxCR0c/v9RCJxYnGbPL7Vfoeu/2PGInZc01B/dxPh5H/04qIiIjICHtuazXHzC7hnB8+xb56p5Lmvk+dyhHTi5LnXHbrC+yobuGxjZW845j0Vu+MRcFIjBO/91jyL8LnLuk5yDHGcMT0Il7f15D2dTy9uYriXD9nLqrgU+cs7HBbeX4WzaFo8nP6yp56/rZ2L3et2sXCSfnJnfGko0QlQaZ3KOysvs1pkSwaBTv+icjoVZTj/GHB7zXkBtJb+WRSWp+PnV3Mf9+opKopxMLJBb3cS/pDlU8iIiIyob24s5b33/oC3/rP+mRIAbA/5fKj6yvZ4c4V+txfXuWPq3cP+zpHm+e31ySDpxy/l8On9V6xc+T0IjZXNhGMpK+aprIxyKMbKjl3yWR+8r7lzK/I73B7Ijx8ZksVBVk+inL8fPFvr7GjuoWvXLSkw4sMaTfylU8Kn0SkZ2X5AWpbwkTjloAvc5HGMbNKAKhsCvLYhkpsBndtnQgUPomIiEif4nHL9fetZ1dNS98njzF761oBWL+/Y1VObYtThXGgoY3/+eurHDalgJmlTlvX05urhneRo9BjGyqTly88cgqePrZpO3J6EdG4ZdPBpiE973/fOMg7b36OYCTGq3vqCUbiXHp8961ZR88sBmBzZTMej0nOFAI4c3HFkNYxnmX7PRgz/DOf6tz/c6mD60VEOivNc8KnWNziy+AWocvd8Oknj27hI79fwz9f2Zex55oI1HYnIiIifdpyqJnbVu7ghR013Pep00Z6OWkVijjVO50Hil7399d5fnsNCyfl09AW4Z+fOIW55Xm8/ZfPpnVnnbHIWsvjGw5x/tLJfPbcRcwtz+vzPokqpNf3NbDMDYUG45o7XwLgYEOQvXVOddrc8vxuzy3K8ZOf5aM5FO0QPAGqeuqFMYb8LB+Nw/x1XtsapiDLl9FKBhEZ+8ryAjSHojSHokwqyAbgjEXp/4PC4dMKCXg97Kpx/ki1p7atj3tIb/SdXURERPqU+MNia2h423CGQ6vbWhSJOeHTVy46LHnbv17Zz6rttSyYlJ8MWKqaQqzcWs2Tmw4N/2JHiQ0HmtjfEOTcJZNZOq2QnH7M3JhRkkOWz8OND24kHh9660JTMMreujZyA15KemnTynKDjM+dtyh57MHPjK8ANRMq8rOoag4N63PWtYQpyVPVk4j0rjTPGQRe1RjC7zWs//YF3PqhFWl/nrwsHxUFWcnrid8TZHAUPomIiEifElVB26tbeHVPffL4N/61jpuf3DZCq0qPerciJuhWQJ08v5zTFpYnb1+5tZplM4qT1xNzoZ7cNDFa7zYebOTsm56kqqk9iHh8o9Nyd+Zh/f9LszGGUDROcyjK6p2D2/UuFG0PP5tCEWpaQpTnZ/VaxfT9dx7FzNIcPnraPK49dxFHzShiydSR31FutCsvyOrwOR8Ota0RhU8i0qcyd7OIplAUr8eQG/Dh92Ym2ihPCZ/CCp+GROGTiIiI9Cl1SPTbfvksWyqduT2/f34X339o40gtKy0SO3olQqXCbD8nzivrcM6ymUVd7lc2QV4kr9lZx/bqFl5JCR0f3XCIZTOLk+0O/fW7K44DYP3+xkGt5WBDMHm5sjFIXWuk16ongHOXTuaZL55NTsDLZ85dyL8/eeqgnnuiqSjIonqYw6e6ljClGjYuIn1I/fnbnIHZdFefPo9vvGUpAJNTK5+iGjg+FAqfREREpE9tnXYo++PqPcnhwGNd6vs2szSHKUXZdC6kmVmSm7x8z1UnABCbILveJHb923KoidZwlGe3VvPq3nrOOWzSgB/rrMMmUZDtG/Tg+n117fM2rv3zq9S1hCnWcOqMKM8LDHvbXa3a7kSkH0pTvk+k7kybLl+5aAlXnjIXgMOntf/xKRpX5dNQKHwSERERAO5ctYs5191PrJt5PG2dtlx/cvMhLv3tquT1zZVN/GXNnjG5G15buP2Xybs+cgIBnwdDx/RpcmF7hc/JC8qdYcxtE2Po+AG32mjroWYuvWUVH7j1BSYVZHHZibMH9XjFuf4uw7/7a2+nFxmv72voEoxKepTlZ9EUjBKOpvfF1p9W72bOdfezr76NXzy+hWhKG0ttS5hShYki0oeyvPZqpCxf3zMHh+KY2cXJy51/F5KB0W53IiIiAsAPH94EwKGmIFOLcjrclvoC/6gZRby2t4H5FXl86U2HcdvKHbzzV8/RFIoyqSCL1V89d1jXPVTBSIypRdk88fkzyfY7v8SeNL9j293kwqwO1wuzfTQFBxegjDWJdsS/r3W2mD77sEl85+1HdPjL80AU5wSSc7YGKvEX7g+cMIssn5fbn93B0UPYOU96lvj81rWGO4SvQ3XP6t0AfOzOl3h9XwOTCrPZUtnElafMpS0SU+WTiPSpMKc9xrBktgo59WfMRN/pdqgUPomIiAgApbkB6lsjbDzQRKDT4M5at8Xupncv47SF5eyobuH4OaV4PIYLj5jCmTc9CUB969gLZNoiMcrzs5LBEzi/bG7+zoUcagryxKYqyvI7hU85furG4Ps6GAcaOlYbnTSvjGnFOT2c3beinMFXPu2ra2NSQRbfveRIAD5x1nwKsjUjKBMSM1Wqm0NpDZ+KcpzP1+v7GgC47ZkdbKps4g13Dtj8iry0PZeIjE+pm0xEY5kNn1J/xjROkD86ZYrCJxERkQyrbQnzwOsH+MAJszr8wlTTHOKBdQe5rNPx4bS7ppVbV27nM+cspCw/wPbqFq6848Uezz/nsEmU5AU6vBidU97+YjHLP/Y6+tvCMXL8Xcv2Az4PM0pyubyb9rKKgiyqh3kezkiIxW2HId8Ak4uGFkQU5frZ3zC4GR37G9qYXtIefHUOBSV9EpVPtWme7VaQ3fHlx65ap1X3+e015Pi9nLFo4LPERGTiigzDDnSXLJ/OP17ep/BpiBQ+iYiIZEBbOMZND2/i3CWT+efL+/jzmj3MLc/jlAXlAOyqaeGM/3sScCpJFkzKH/Y1BiMxrr5zDRsPNuHzeJKB0rffdniXc/fXB2kJRSnuYyeq7G5CnNGuLRKjMGdg1TMV+Vlsrxp7860G6so7XiQSs7x3xUz+vGYPACfOKx3SY04qyOLxDUGCkdiAv1721bVx+PSuOw9K+iWCvd7Cp5d21XLTfzcPaPj+6h21Ha4HI84LR2udls6cwNj7HiIiI6e7OZXp9uP3Hg3AS7vqMv5c45nCJxERkQx4ZEMlt63cwW0rd/COY6YD8NreBk5ZUE5DW4Sv/+uN5Lm7alpGJHx6eH0lGw82AfDctmqmF+dw+LRCPnjSnEE/ZpZv7FU+BSOxLjOd+lJRkEVVcwhr7YhVrWXaK3vqeXpzFQD/c8EivvHWpRjMkMOBMxZV8Ltnd/Ls1mrOWTK5y+31rWHe8avnuOEdR3LivPbZW/G4ZX9DkAsOnzKk55f+SbTd1TT3HD79+JEtPL+9pt+BZF/Dyy86cmr/FygiE9qjnzudc3/0NJEMt90lFGT7VPk0RAqfREREMuCpTVXJy+vc2SbPbq3m42fOZ9m3Hu5w7o7qkamgqWpy2sauOnUutz27A2MM+VlDCxbGYuVTSzjabdtdb6YV5xCOxjnUlN55OKPJzx/bQnl+gMc+dyZFfVS8DcTJ88spyPLx0LqDHcIn61bPrN5Ry/bqFt53yypyU4KuVneXoalDbPuT/inK8eP1GGpaem4v3d/QxsVHTuWXHzim349b1xLmm/95g3+9sj95bFJBFhY467CKoSxZRCaQ3IATZQxH213i+Vq1292QKHwSERFJM2stT2+p4uT5ZTy3rYbNlc0ArNxazZzr7k+eV56fRSweZ/sIhE/1rWGuv2894LS63LpyBxsONHLGosG9+Lv0+Jn8cfUeKoY4g+dAQxtFOf7kL5XDoa4lMuAdthZNLgBg08GmcRk+WWvZcKCRE+eVpTV4AmeW1tlLJvHXl/ZS0xLm9iuOA+Djd61ly6EmLlnuVApeevxM8rPavw4iMcure+s5aX55Wtcj3fN4DCW5/g5td4cag5TkBfC7GxK0hmLkDTCwLskLJCugvvXWw3nLsmmU5PqJW/B6xmcVoYikX+L70HC03QHk+L2Eo3FicavvVYOk8ElERCQNQtEYn7j7ZbL8HoLhGFVNIb5wwWJe3l1PWyTGeUsnM6UwmztX7Urep7o5xDGzitle1Tzs6/3ZY1uTl1MHhg/0hWTCDZccyeodtV2GCQ/Ea3vreesvnuXUBeX88D3LKMkNEMhwG18oGqM5FE22GPXX4ilO+LS5sonTBxnYjWbfe3Aj+xuCnDnAWVj9lfj4Pb7xEOD8X3jojYMArD/QyKzSXL73jqMy8tzSf2V5Wcm2u2AkxvE3PMb7T5jFDe5ugy2h6KCC4o+cOpcXdtRy4ZFTkoPNvXotJyIDkKiMPWrG8MwBzAk4v48EIzHyshSjDIY+aiIiIkNQ2Rjk7lW7+NnjW7vcdvTMYr73jiPZV9/GZSfMpjDH1yF8OvuwSZTkBli5tarLfTNpR3ULd67ambyeWrnzrmNnDOoxjTHkZfmGVP7+xb+9BjgVYifc8BhLpxbypQsPG/TjdSfg9XDcnBJ87l9ME1UdpXkDq9gqzQtQUZDFJndm1nhzy9PbAWgNRTPy+CW5HcO+u1ftTl5etb2W4+cMbai5pEdpXoAa9//Ivnpnh8LHNxyCS5zquJZwtEN1Wn+tmFPK2q+fl9a1isjEkpfl49+fPIX5FcMzMzPRnt+m8GnQ9FETEREZglue3s5tK3d0e9uMkpxke1bC589fxM8f38ozXzyLsvwsfv3UNu5du5eWUHTYfpm58cEN+L0eIjFndoHXY7joyCksqMjn7MO6DoDuL+cxey5/t9ayq6aVtkjHmQl5AR+l+QE2V3YMctYfaORDt68e9Hp6cuUpc/jGWw5nR3UL9760F4Cy/IFVPgEsnlzQZc3jTSRD7QydOxZe3tO+g1BtS5il0woz8rwyMKX5AdbvbwScnQaB5I6XwUicuEUvwkRkxBw1o3jYnisx07JNc58GTT8tREREhsAZOJ1FZaMzlHfbDRcx/ysPAHTbjvLJsxfysTPmJytv5rktbzuqWzhiGLaQf2F7Df99o5L/OW8Rbzt6OpG4U6n0qw8cO+TH9nsN4R4qnxqDET5422pe2VPf7e1vWTaNuIX3rpjJn9fsAeDT5ywc9Ayqnnz1H6/z4k5nq/d33fwcNS1hSnL9nDS/rI97djWpIIuVW6t5dH0l5y4dfGg3GhVk+WgKRflymivPEpZObf9aD0fjHeYKObcrfBoNyvIC1DQ739sONgYBkpVOzW5V3FA3KRARGQsSO70GIwqfBkvhk4iIyBDUtoSYXpzDyfPLyQ148XoMj//PGckXat1JBE8Acyuc8Olnj23h5+9fjt/jwZOhQZbxuOW7D2xgalE2V502L/mLVLr4vZ7kC9LOVm2r4ZU99Xz6nIUsndqxGuzTf3qF/7zq7Hz15YsOw+8z3LVqN+87bibTinPSusZjZ5dw/+sHAKhvc7ZMvvVDx1GYPfDZRucfPpm/v7yPF3fVjrvwKRSLc83p85hRkpuRxz9yRhELJuWz9VAzP3l0MzXNYWaW5rCn1qmuUeXT6FCY7ac5FMVam3zBFXN3JUzsgqfKJxGZCFLb7mRw9NNCRERkCGqaw8woyeXH7z06eWxeRT7z+jmDYE6ZEz49vL6SxV97iPeumMn335WZQctrdtXx2t4GfvCuo9IePIEzTymxi1VnlW4Yd9kJs5jUaXe4eeVb2HiwiYWT8inODfCdtx/J19+8lCxf+tc4oySX+tYI1c0hfB7DlSfP4djZJYN6rAsOn4IxkOXN7FD04RaJxQlH4xkPFeJuiHH7szsIRuJ89LS5NAWj/OnFPUwtGn87CI5FOQEvcQuhaDwZPrWGYtzy9DZ21rTi95pBVQ2KiIw1OWq7G7Lx9duSiIjIMLLWUtkYpKJg4POCErL9Xg6b0l4JlGg5y4T1+xsA0t7KluDMfOo+fLrvtQMYA2X5XQd7b69qAejQdpiJ4AmcOVwAd63aRSga5+wlkwb9WMYYcv1eWsbZL6KtIef9yc1AQJmqriWxi5rzNTO1KIcb33kU22+4CGO09dlokOd+DbSGY4Tcz9OmyiZueGAj97ywm7cfPZ2pRemtThQRGY0Sf7RrCWdmI46JQOGTiIjIIO2ta6OuNcLSaUOb1XTawvLk5cMz2G60qbKZ4lw/kwoGtrNbf2X5PTQFnRadVK3hKC/sqKU4x4+3m5bCxJyoT5+zMCPrSpUIn37y6BbyAl6OG+KuarlZPlrH2S+izeHELJ/MVj59+aIl5AW8ya//xOciU22nMnCJuXUtoSjBaNeQ9Zoz5g33kkRERkQiaN9X3/NYBemd2u5EREQG6WV3ePbymcVDepyclMHkLe7MpE0Hm/jegxv4wTuP6tKmNlibK5tYNLkgY1UlJ80r41+v7OeZLdWcvqiCWNzi9Rhe2V0PwA/fs6zX+08rznyrVaLN0WPgU+csxD/ElrncgJfWcIxDjUG+dO9r/OBdy6jIULgHcOXvVrN6R23GHh9IVnJluu3uPStm8p4VM2kJRXlqcxVHTNecp9EmN6t9xkmiQi3BGFgwqaC7u4mIjDuTCrII+DzsqW0d6aWMWQqfREREBmntrjqy/Z4ObXODEfC2h0HVzU4r0mMbK3lyUxXX37+Bn1+6fEiPD06L4OaDTbx9+fQhP1ZP3r58Otf9/XU+ePtqbr9iBZ/+4yv8/NLl1LjtVfN7mIN1x5XH8cTGQxlrtUtVkhdg1ZfPYXJhVlpCuNyAj6c2V+H3enhiUxU3P7mNc5dM4uQF5X3feYBC0RhPba7i2NklLMvg9tKNwQibK5s5akbmd18EJ+S66Mipw/JcMjCJ1ssrbl/NHHdnzoRVXz5nJJYkIjIiPB7DzJKcDuHTocYgjcGIgvh+UvgkIiIySC/vqeeoGcUddq8bjJA7pDs/y0dzKEpdS5iGVmcntqc3VxGMxLj5yW38942DvGXZNPzegYcm++uDNIWiLBpiUNabbL+X6y48jBsf3MjX//kGzaEoq3bUUJbnzMQqzet+NtaZiydx5uLBz14aqClpHGYd8Hmob43wt5f2As7w7Nuf3cGW71445KqqhIfWHeRjd73EHz58PHELHzhhdkZDRJGERNvd/oYg+xuClOcHkgF5ptp3RURGq1mluexOCZ9O/N5jxC3svPHiEVzV2KHwSUREZBCCkRjr9zfwkVOHPvMkET4dNqWANbvqOOuHT1Lvhk8NbRE+eHt7q9XGg5uG9FyZnCkF8LEz5nPrMzvYV98GwOaDTSyaUkDA58n4DKGR0FMM2BKKUpjt56KfPcPu2lY8Q6iyanZbMR94/QAA00s04FmGR16g4//Zgmx/MnzSUHgRmWhmleayZldd8nrc9nKydDH+fgsUEREZBm/sbyQSsyyfVTzkxwq5W5gfO7uENbvqqG+NMKs0lxPmlvLIhkpW76hldlkuj1x7Ro+7yfUlEouzvbqFY2aVDHm9fSnM9lHdHMIYeGpzFXWtEcryAuPyxWrqu3TMrGLee9xMvnTv6zQFoxxoCLLxYBOzSnM5b+nkQT1+3Fp+9+xOwPlYAhRm+4e6bJF+yem042GWz8Nbl03juW3VI7QiEZGRM7M0l6agM6cwUzsHj2cKn0RERAbh0Q2VAGkJny47cTb/ee0AV5wyh/MPn0JRjp8Fk5z5SJfd+gIrt1azoCKfgM9DwDf4Vq5jZnXf9pZuiZL085ZM5uH1lbyyp56vXrRkWJ57uKXGaV6PocANhlrCUbYeagbglg8ey2FTBl9xNrc8j//91xscaHB22CnI1q9vMjzysjqGT9l+Lz9Lwww6EZGxaEZJLgAfun21Wu0GIT3DCERERCaQhtYINz+5jenFOUwqGPr8oIWTC1j79fOYWpTDsbNLksETwOmLnMHVJ84rG/LzDJcrT5kDwDuPnQE4ZeofPX18bsme2k53oCGY3CGuORgl6Fa05fqHFhZ98KQ5/PGjJyav5yt8kmHS+Ws326+XDiIycc1Q2/uQ6LcXERGRAfr3a/sB+PJFh2X8ua46dR7Hzy3jqOnDs/NYOnz5wiX8z/mLOdQYAmBm6fj9Za1z+JSYa9UUiiZneaXjBXtqIJkf0K9vMjy6tt1lfkdKEZHR6ojpRQR8HhZP7rh5Syxu8XrG32iBdNOfL0RERHpxqDHIs1ursbZ9quRD6w6wcFI+Fw/D9vAej+HomcV4xtAvNR6PIdvvZVZZLj9411H8+L1Hj/SSMifl0/Kmw6ckW+IONQaTlU/peMFent/eMjmWvhZkbOvc5qvKJxGZ6M5cVEEkFu/we2E4Orh5nBPNqPsJYoz5jDFmhzHms93cNs8Y87wxZp0x5qqU4xFjzCvu28+GdcEiIpJxt63cwcaDjSPy3N/49xt84NYX+NOLewCw1vLG/kZWzCkZlwO00+09K2ampTVxtEp8Bfz80uX86L3LmF2WS1legEfWH0pWPmWl4QW7MYZ3HjOjy19bRYZTtl+VTyIysWX7vQQjMSKx9vApFI2N4IrGjtFYt/0wcHgPt/0G+BbwDPCqMeZha+1uYK+19uhhWp+IiAyjQ41Brr9vPcCwD3e01vL6vgYAnttWw6XHz+JAQ5D61ghLpw5+gLSMH4m2u9K8QLLCacGkfJqCEUKRGMY4O4Slw03vPkqBp4yodH0ti4iMVTl+L22RWIfdh1X51D+j7ieItXYDsL/zcWOMH1gG/Nda2wI8AJzt3lw7fCsUEZHhdPwNjyUvr91dl/Hns9bSGIyw5OsPseR/H2JvXRsA26ucncvW73cqsJZOU/gkzk6FAAtTZjIl/ioajMbJ8nnSFhgpeJKRpsonEZnocgJegpF4h/AppPCpX0Zj5VNPKoAa295cuR+Y5l6eboxZ7V7+vLX26WFfnYiIZNyND27kL9ec1OFYfWuY+tYIc8rzerxfZWOQR9ZXJoOChN01rTy1+RCLJhfQGIyycksVv39+V4dzPnnWAnxew08e3cLjGyvZcKARY2DxFIVPAhcfNZWLj+pYkZfj93IwEicYiWlAs4wrCp9EZKLL8ntoi8QIK3wasLEUPoXpMNYTA4Tcy2dba9cbY84G7gFmpN7RGHM1cDXArFmzhmGpIiKSLuX5AZZMLWTptEJuX7mjy44iH7p9Na/ubeCKk+ewYFJ+l4Apcc7Gg02cu2QyU4ra5w9dfecaNh5s6vG577nqBE5eUE4wEuPhNyr5wl9fozkUZU5ZXnJXM5HOst1fTEORuAY0y7iitjsRmehy/F7C0TihSGr4pJlP/TGWfnOuAUqMMcatfpoOPAdgrV3v/vu4MSZgjMm21gYTd7TW3gLcArBixQrb9aFFRGS0+PhdL3H6ogouPX4W1c0hqpvDHDu7hLL8LCIxS3VziMmF7QHSq3udmUx3PLcToNvwKREw7atvTYZPjcEImys7Bk9ffNNiphZlM78in0gszrGzSwHnr/3vPHZGcvaU5j1Jb5yS/BjBaEyVIjKu6OtZRCa6HPf7YENbJHlMlU/9M+rDJ2PMl4B91tq7jDHPAxcaY54C3gR80xhzFrDVWrvHGHMSUJUaPImIyNgQj1uOv+FRqpvDPLjuIO87bibX/vkVAj4PFx05lT21rQDsr29Lhk+buqla+o4bECXMTmnH23qomUkF2TQGI2w80ETcOtVNLeEYJ80v67WaaXpxe+D16XMWDul9lfEt2++loS3C+v2NFGSP+l+1RPpNlU8iMtEl/oiZ+L0UIBhR5VN/jKrfiIwx03AGiU8BYsaYNwObgUS10meBPwI/AG6w1lYbYw4B9xhjyoBW4LJhX7iIiAzZpsomqpvDyevPbavhmS3VfPFNi1k0uYBY3PlRsK++jeWzSgB4cN2B5Pk3f+AYvnjva/xx9e7ksdZIjMSkwIIsH/e8sJsv3fs6APPK8yjI8nHS/LJ+DXKeW94+UHp2We7g31EZ97L9XkLROFsONfPbD64Y6eWIpMVRM4o4YW7ZSC9DRGREzSjJAWB7dUvyWFtY4VN/jKrwyVq7Hzi6l9t3Aid1OvYGcFpGFyYiMoHVtoSx1lKWn5XR53lkfSUAAZ+HcDTO39fuA+DI6UUATCtyfth/8p6XOW1hBYXZPsryAgB8/vxFXHjkVC48cmqHx6xuDnHyjY9z4RFTmF2ay88e35q8bXt1C4dNKej3DmKLpxTw5OfPJODzqPVEelXrhqiXnzib85ZOHuHViKTHrR9cwaSUlmcRkYloqvv7aGrlU5sqn/pFtbMiItKrU7//OMd+51EONgS5+g9rqG8N932nAQpFY/zokc2U5QXYdP2bKMsLcO/avQBMcV/sFOa0/71k2bce5pwfPUVdq9Nvf9Vp87p93PL8LF77xvnc9O5lvH359OTxigInSBtoiDSnPI9pxTkDuo9MPIk5EO88dkYfZ4qMHakbPYiITFSJmU9NwWjymCqf+kfhk4iI9KrV/YF65k1P8PD6Sh5+o5LmUJRV22vS9hxVTc7mpZcsn44xhhml7W1tid56YwzvO25m8vj2qhb+/er+PiuRsv1e/F4P8yry+fbbDsfrMfznk6fy3UuO4GsXL0nb+yCS8L9vWcr/vnkpy2YUjfRSRNLG59HLBhGRLHcX2+ZQSvikyqd+0U8RERHpkbXtG4QG3S1l2yIxrvzdat53yyoONXbd36ExGOFRt4WuvxLh08kLnHkiX7xgMQCTC7MoyPYnz7vxnUex88aLSXTKbT3UTGHK7X354Elz2PydC5lSlM0HTpjNijmlA1qnSH9MK87hw6fO7XdLp8hY4PPq61lEJOB1IpSWkCqfBmpUzXwSEZHRo7o5xIU/fQaA85ZO5sR5ZVx/33q+8e83kufc/cJu1u6uIzfg5TeXO4OVv//gRu5+YTeLJxewZGpBv54rMe+pIt+pcjplQTlrvnYufm/3fyNZ+7XzuOaul1i9o5ZpxQObQaLWERGRgdP3ThER8Hk9eEzHyqdWhU/9ovBJRCTNXt/bwCPrD3LteYtGbeVDcyjKn1/cQ1leoMMspFTPbq2mqinEFSfP4RNnLaCiIIsnNh5i5dZqAGaW5vDTx7Ykz4/HLY9uqOTJTVUAtISjvLynvl/raYvECHg9zCxtn6dU3suA85K8AL+74jh2VLcws0Q7z4mIZMrh0wp5Y38jPoVPIiIAZPm8HcKnoNru+kXhk4hIml15x4tUN4d494qZzCwdfcHIf984yLV/fiX5V5qqphBXnda1RWj9/kYCPg9ff/PS5F+8371iBiu3VjOvPI/7P30a1/39Nf71yn4A9ta1cf3966lsDHLVqXP52puXDmhdoWiMLF//B4DnZfk4Yrpm6oiIZNJdHzmBDQca8fVQiSoiMtEEfJ4OA8dV+dQ/+ikiIpIm1lrW7KxN7ga3dnfdCK+oK2stX/3H67SGY3zghFkAfPeBDfz3ja4zmg40BJlSmN2h1eKk+WUsn1XMry8/lpyAl5++bzmPfu50vB7D6f/3BHtq27jmjHkDDp6AAQVPIiIyPEryApy8oHyklyEiMmpk+Tw0BSPJ6xo43j8Kn0REhujZrdW0hWPc/uxO3vXr54nGnSHdf35xD6t31NKY8sNppP3i8a1UN4f58oWHcf3bjuBXHziGyYVZfPPfb9AcilLZGORLf3uNhrYI6/Y1MKWw4zylSQXZ/OP/ncKiye2znBZMKuDz5y9OXp+hNjgRERERGacCPg/ur/sU5/o1cLyf1HYnIjIEe+ta+cCtL3DukkmEovEOtz23rYbntj3PpcfP5EBDkBPnlfGxM+ZnfE1t4Rjr9jdw+LRCcgPt3+YPNgT55ZNbOXZ2CR86eQ4ej+GiI6cypSibd978HO+6+TnmV+Rz/+sH+M9r+2kNxziqn1vFf+yMeTy7tZqVW6s5Ya52kBMRERGR8Snga6/hKc7xq/KpnxQ+iYj0w5qdtfi9HpbNLAYgHI1z2W0vsKumBYBHNxwiN+C0jV1+4my2Vzfz7NYaAF7f18C6fY08ualqWMKnu1/YxXfu34DfazhmVgmnLihnanEO9760l0jM8pP3Hk22v73F7ZhZJbz96On84+V97KtvA9p71/8npaKpN8YYbv3QCmpbwkwrzun7DiIiIiIiY1DqqIji3ACt4WgvZ0uCwicRkX5416+fB2DnjRdjrWXR1x4EoCDbR17ASyRmaQ3HuOLkOXzjLUsxxmCt5cKfPsO6fY3Jx7HWpm0HPGst4VicgNfT4TG3VbVQmO3j0hNmsXJLNT98ZHPytpmlOd0OQf/EWfP5x8v7OgxP/PPVJw5oYHq236vgSURERETGtUTlkzFQmOOnoW30jNgYzRQ+iYj0IbWP+/7XDnQYJL76K+eSE/DyzJYqvvfARj5wwqxkEGSMYUpRNhsPNiXPX7m1mtMWVgDQGIxw69Pb+cTZCwY8bLslFOWK363mxZ11zCzNYXZpXofnOHJ6EV++cAlcCPWtYbYcauZjd77Etecu6vbx5lfkc83p8/jtM9vxez1MKsziuDlqnxMRERERSZXlhk9ZPg+5fi8HG9pGeEVjg8InEZEUsbilpiXEpIL2Qduv7q1PXv7EPWuTl2+/YgU5bqvdaQsrOO0zFV0e76gZxTy5qSp5/fLbVrPzxosBuOm/m/jD87tYMLmAty6b1q/1tYVjHGoK8t7frOJgY5BLj5/FjurmZK953FoKsnycNL8seZ/i3ADHzSll9VfP7bBzXSpjDF++aAnXXXgYANaCp4dzRUREREQmqvkV+aze4YzkyAl4NfOpnxQ+iYikuPP5nXzzP+t59HOns2CSs6Pb05urupx38vwyzj5scp+P95ajpvL05ipmlORw32sHOty2o9qZF/XQugMcagz2+Bh+r4c3HzWV4twAS/73IQAKs338+rJjeNMRU/v9vvUUPKVqr9rq98OKiIiIiEwYx84u4Y+rd9MUjDrhk3a76xeFTyIiKRItco9tOMSCSQXUt4a5+4XdnLW4AgvJKqYT5pb18ijtFk4u4J+fOIU7V+3qEj61hJz5Sg+8fpAHXj/Y6+M8sr6Sb73t8OT12644Tm1xIiIiIiLD7JhZxcnLOX6FT/2l8ElEJEWije5QUwiAVdtraWiLcM0Z81k6rZBDjSF+9+wOPnLa3AE97tKphcnLD607wO0rd7L+QCPvWD6db6aESt25+clt3PzkNr5z3/rksRWzSwb0/CIiIiIiMnRzy9tnrea6bXfp3FRovPKM9AJEREaT+lZnt4qDbhvca3vr8XkMR88spjDbz4JJ+Xz3kiPJzxpYdn/s7BJ+/+HjyQt4+dhda1m9s5ZgJM6RM4oozPb3+nbZibMBeGJTFe9dMZMXv3qufriJiIiIiIwAYwzl+QECPg/Zfi9xC6FofKSXNeqp8klEJoTX9tbz0T+s4eeXHkN1c4iLjux+VlJdaxiA/fVt7v0aWDylgGz/wHaj684Ziyq466oTuPy21Rw3p4TvXnIkU4uy+7zf9OIcfvq+o2kMRrksZTc9EREREREZfiu/dDZxa/nzi3sACEZiaXm9MJ4pfBKRcS8et3zinrVUNoZ4z2+eB2DTd95Elq/rD4hDjU673Rv7GwlGYry2t56Lj+rfTnT9sXxWCS99/Vz8Hs+AdpN729HT07YGEREREREZvETQlOP+2xqO8f/bu+84x6t6/+Pvkzq97O7szvbGwhbcpSxVOoKggGBXroqK2K6KvVzbvSp6raD3pwL2rlevHURsKBYUaVIEpLPLwvadPinn98cn301mJpnJZFImM6/n45FHenLyzTfJ9/vO55zT0VTLFk1/hE8AZqTBRErb9g7q6tu36Z/b9umRXQMjrv/B37fohUct05W/v18DiZRecOQyzWuJ6YEdfVo+t0kP7ezXj27eon2DSW1a0l7WtuULvQAAAADUl2C82IEEg45PhPAJwIy09j2/GHH+wuNW6gvXP7D//Lt++A+de+gifeiquyRJn7z2Hr376es0kEjpeUcs1ceuuVtX/P5+SdKmpR1VazcAAACA+hBUPv3s1sf05APmajOzURfEgOMAZpy9A4kxl52ybr6ufsPx+vYrjt5/2R/u3SFJWpWZseKDP79L7Y1RvfDIZVq/sE337+iTJK2Z31KFVgMAAACoJ00xq+f51K/u0bM//+cat2Z6I3wCMOPc9uieMZetmd+qdQvbdMzqubryxZslSa/8+t8lSWcc3L3/dq875QB1NMVGDEgeCfNVCQAAAGCkxhj7CcViSQGYcW55eM+Yy+a1xPafPm39Al10wqr951941DKduna+JOn5Ry6TJL0yc/05m8o32DgAAACAmaMxykhGxWJJAZgx/vVEr970vVvUO5jcf9mSzkYNJdNybuTMcm996kFqiIZ1/Jp5WtLZpM+/6HD1DSXVErevxUg4pFvfe/r+QQQBAAAAIBf7CsUjfAJQ135486P64vUP6MevPU6v+sbf9a8neiVZ97nXnnyAIiEnn+d+0XBIbzrtwBHnO5piI27T3hStZNMBAAAA1LGmUeHTqZ/4nX7++uPVECWUGo3wCUBde+N3b5Ukve7bN+0Pnq588Waduna+QiE33l0BAAAAoGSjQ6b7tvfpwZ19WtvdVqMWTV+ETwDq1sBwav/pq/6xTZJ02fMP0WnrF9SqSQAAAABmicY8FU4hxx/g+RA+Aahbf75/x/7TX7pgs05ZS+gEAAAAoDpikZAiIadkOjvQR9rnG/QDhE8A6ko67fWPLXsVi4T0u7u3qzEa1s3vPY1+1QAAAACqriEaVu9QdsKjoUS6hq2ZvgifANSVa+7Ypld/86b9509dO5/gCQAAAEBNRMMju9kNJfOHT1f+/n5d+Yf78173mpNW64Inryx726YTwicAUzIwnNJbv3+rTt/QrXM2Lar48z2ws2/E+ZPWzq/4cwIAAABAPo3RsHYrsf/8YCKV93a/vHObwiGnkw7qGnPd8nnNFWvfdEH4hHHt7U+oZyihJZ1NtW7KrBR8cU3nyp7bHt2jn932mH555+NVCZ8e3zuo5lhYfZnBxg9d2lHx5wQAAACAfDqaYtq6d3D/+UKVTw/t7NeJB3bpw8/cWK2mTSuhWjcA09ee/mGd+snf6bj//q0u/s7NSqcZOK0U3/jLQ7r+3h0T3zCPkz/+O536ievK3KLy2rJnQJI0nEyrZzAxwa2n7rG9g1rU0bj//FKCUQAAAAA10tEUHXF+KDm28imRSuuJniEt7mwcc91sQfiEgu7Yuk87eoe1qqtZP7plqx7a1V/rJtWld//odv3bF28o6rY7eod08Xdu1o7eISVSaT22d3B/uHPP4z165//dpm//9WHtq0LIU6yPXXP3/tPv+uHt8t7rkV39+tuDuyryfI/sHtDSOdnAqa2RAk4AAAAAtTE6fHrz924dc5v+TK+Nlvjs3XeZva8cE9rROyRJet0pB+iN371Vf3tgl1bOgr6o5eRzptm87dE9Oqi7VfFItgvdwHBKb/nfW3X2poW68g8P6O8P7ZYkLWhv0IuPWbH/dn97cJfOv/IGDafS+vZfH9FX//SgfnHxCVV7HYXs6R/WY3sHdeSKOTrxoC597Jq7de/jPfrnth5J0r0fOlPRcPkybu+9HtrZp6NXzdFv33KSHt7VL+fcxHcEAAAAgApY0NYw4ny+bnfBcCpNsdkbwVD5hIJ29Q1Lkp58wDwt6WzUD2/eUuMW1Z+enCk3z/mfP+prf3pIkpRKe/3i9sf0mm/+XT//x2N61Tdu2h88SdLl192vnZnwT5Ke8/k/aziV1vFr5kmS/rmtR7c9uqc6L2IcNzxg1U1vPeMgverE1ZK0P3iSpDu37ivr823vHVL/cErL5zRp5bxmnXjg2MH6AAAAAKBagvGRzzt08ZjrvPf66p8e1GOZMaEaY7M3gpm9rxzj+uUd23T7ln0KOWlec1wbFrXtD6NQvD19I7vH3be9V5L0pesf0Ku+cZN+e/f2gvf9aiaouvC4lVq3sE1vfepB+spLj9T1bz9ZzbGwvvKnByvW7mL95f6daoiGtHFJu8KhbAXS5S86XJL04KiZ6abqoZ3W9XM2zAYBAAAAYPo7a+NCdTRFdeHxK7W4o1GRnP2iP9+/U+/7yR36jx/+Q5LUGJ29lU+z95WjoEd29euir/9dkjSvJa5QyKm9Mao9AxOHTzt6h/SSL/1VPYPJEZdHQk4Hdbfqv55xsLpa4xVp93S0s29oxPkgPLn5kd3qao1re0/2+o6mqF5x/Co9+YB5Ovf//VE/uOlRSdIzD1uid5+1fv/tlnQ26VmHL9F3/vqI3nfWBrWP6mP84I4+vfP//qHH9g5U6mVln2tnv45cOWdEV0LJquUk7U/480mnvS799b167uYlRc+m+OAOC7NWzCV8AgAAAFB7C9oadMt7T5cknbVpob7yxwf3X/fEPtvf29NvRQlNsek7i3mlTbvwyTn3BkkXS7rMe3/pqOtWSfqmpFZJl3rvv5C5/MLMfXokne+9v7+KTZ5x/pAzM1tbg60i7Y1R7R2wD8wP/v6oGmNhPXVDty791T3a059Qa0NEz928VH+5f6fu2LpPT3tS94hAon84qatv36Zf3/WE7v7gGXLOyXuvb9zwsO57orekdoZDTi84cpkOmN8iyUoar//XDh27et6IKpxa+lfmtf3qTSfoY9fcrWvueFwfvuouXfWPbepqjevrLz9SH/r5Xfrnth6dfNB8vfbkAyRZ5dArMwHg6HBJks7etEhf+/NDuuGBnTp9Q7ckC3O+9McHdMlVd6mtMaoT1nSp0sMhLe5s1PlHLd9//r1nrdfegYRa4hG1NkT02J7CAdg/tuzVp399r256aLe+ceFRRT3fQzv7FQ45Le6YvbNEAAAAAJiemmMRDSXTSqbSioRD2t1vBRzxqHU6ayR8mlZ+KWlDgesul/Sfkv4g6Vbn3C8zl79N0iGSTpH0eUmnV7iNM9odW/fuPx10m2pvjGowkdbe/oTe/L82en9LPKLenDGNfnzLVp2ydr7aGiL6fy88bMxA0Cve8XMNp9L65g0Pa1FHgx7dPaD3/vgONURDYypnirF3IKF/PdGrr77sSH3jLw/p3T+6XZL07qev04XHr9K3bnhY3/7rw5N+3HLx8tqye0At8YhWzmvZX91z+e8tG93eM6Tj13Tp6jfMG3Pfp27o1v+88FD9z2/+pa6WsZViQTe32x7dq9M3dOvubT368NV36XeZbnzveto6PXfz0gq+uvxedtzK/acXdzRqy57ClU93PmbjQf3l/p165//9o6jH//ZfH9bijkbFIvQYBgAAADC9BJVN/YmU2sIhbdtn+0OxzCRMjVHCp2nDe3+Xc27r6Mudc1FJmyRd4733zrmrZGGTk3SV974/c9mXnXNR7/30mYu+Aj76i3/qezc+WpHH3tE7pJMO6lJXS1wnr50vSepoikmSjv3IryVJJx3UtT/oCDy+b1CP7R3Uoo7GvDOQfeYFh+p13755f0gkSYct69APXn1sSTOWvfLrN+r+7X360c1bRjzmrY9aeHbF7+/TcDKttQvbJv3Y5dA/nNRB3a167ckHKBxyetNpB+qL1z+w//pPPneTJBV87WdtXKSzNi7Ke108EtayOU16INMN7Qc3PTri/ZgOlUEL2xvG7fp3W+Z96miK6Vd3PT7h4wUTBx66rKMczQMAAACAsmqOW8TSP5RSW0NUNz+8R5L2F21Q+VQfuiTt9Nm567dKCvbMH5Mk733aObczc9v9AZZz7iJJF0nSsmXLqtbgSlq7sE2nb1hQkcd+Yt+gXnXiam1eMWf/ZYs6bPrIvmGbIvKsjYvGhE+hkNPj+wbV3T5yqsnAUzd06+XHrdTRq+bqO399WL+/d7vefdb6koInSZrf2qBr7nhcF3/3lhGXb9s7oL3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      "text/plain": [
       "<Figure size 1440x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = 20\n",
    "result = performance(bias_cal(price, n), n)\n",
    "fig, ax = plt.subplots(2, 1, figsize=(20, 12), sharex=True)\n",
    "\n",
    "ax[0].plot(result['年月日'], result['總權益'])\n",
    "\n",
    "ax[1].plot(result['年月日'], result['總權益'].to_drawdown_series().to_list(), color='c')\n",
    "\n",
    "dd = (result['總權益'].to_drawdown_series()*100).to_list()\n",
    "\n",
    "ax[1].fill_between(result['年月日'], np.zeros(len(result['總權益'])), dd, label='大盤 DD', color='blue', linewidth=1, alpha=0.8)\n",
    "\n",
    "ax[0].set_title(f'參數{n}－總權益 & 回撤曲線圖', fontsize=20)\n",
    "ax[1].set_xlabel('時間', fontsize=20)\n",
    "\n",
    "ax[0].set_ylabel('累積金額', fontsize=20)\n",
    "ax[1].set_ylabel('下跌幅度(%)', fontsize=20)\n",
    "\n",
    "\n",
    "plt.subplots_adjust(hspace=.0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 參數優化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "總權益： 1139130.0\n",
      "交易成本： -96870.0\n",
      "報酬率： 13.91 %\n",
      "年均報酬率： 1.896 %\n",
      "年化標準差： 6.279 %\n",
      "夏普值： 0.302\n",
      "最大回撤： -18.23 %\n",
      "總權益： 1101627.0\n",
      "交易成本： -96373.0\n",
      "報酬率： 10.16 %\n",
      "年均報酬率： 1.426 %\n",
      "年化標準差： 5.730 %\n",
      "夏普值： 0.249\n",
      "最大回撤： -13.58 %\n",
      "總權益： 1361707.0\n",
      "交易成本： -99793.0\n",
      "報酬率： 36.17 %\n",
      "年均報酬率： 4.209 %\n",
      "年化標準差： 6.041 %\n",
      "夏普值： 0.697\n",
      "最大回撤： -9.51 %\n",
      "總權益： 1010967.0\n",
      "交易成本： -126033.0\n",
      "報酬率： 1.10 %\n",
      "年均報酬率： 0.291 %\n",
      "年化標準差： 5.449 %\n",
      "夏普值： 0.053\n",
      "最大回撤： -12.15 %\n",
      "總權益： 1113448.0\n",
      "交易成本： -89052.0\n",
      "報酬率： 11.34 %\n",
      "年均報酬率： 1.602 %\n",
      "年化標準差： 6.338 %\n",
      "夏普值： 0.253\n",
      "最大回撤： -17.11 %\n",
      "總權益： 1392725.0\n",
      "交易成本： -78275.0\n",
      "報酬率： 39.27 %\n",
      "年均報酬率： 4.467 %\n",
      "年化標準差： 5.406 %\n",
      "夏普值： 0.826\n",
      "最大回撤： -17.13 %\n",
      "總權益： 1123603.0\n",
      "交易成本： -80897.0\n",
      "報酬率： 12.36 %\n",
      "年均報酬率： 1.649 %\n",
      "年化標準差： 5.073 %\n",
      "夏普值： 0.325\n",
      "最大回撤： -12.58 %\n",
      "總權益： 1140098.0\n",
      "交易成本： -75402.0\n",
      "報酬率： 14.01 %\n",
      "年均報酬率： 1.840 %\n",
      "年化標準差： 5.091 %\n",
      "夏普值： 0.361\n",
      "最大回撤： -13.65 %\n",
      "總權益： 1161768.0\n",
      "交易成本： -69732.0\n",
      "報酬率： 16.18 %\n",
      "年均報酬率： 2.105 %\n",
      "年化標準差： 5.470 %\n",
      "夏普值： 0.385\n",
      "最大回撤： -10.83 %\n",
      "總權益： 1148376.0\n",
      "交易成本： -77624.0\n",
      "報酬率： 14.84 %\n",
      "年均報酬率： 1.968 %\n",
      "年化標準差： 5.729 %\n",
      "夏普值： 0.344\n",
      "最大回撤： -12.75 %\n",
      "總權益： 1088218.0\n",
      "交易成本： -71282.0\n",
      "報酬率： 8.82 %\n",
      "年均報酬率： 1.251 %\n",
      "年化標準差： 5.441 %\n",
      "夏普值： 0.230\n",
      "最大回撤： -10.10 %\n",
      "總權益： 1114271.0\n",
      "交易成本： -65729.0\n",
      "報酬率： 11.43 %\n",
      "年均報酬率： 1.540 %\n",
      "年化標準差： 5.080 %\n",
      "夏普值： 0.303\n",
      "最大回撤： -10.03 %\n",
      "總權益： 1219557.0\n",
      "交易成本： -68443.0\n",
      "報酬率： 21.96 %\n",
      "年均報酬率： 2.720 %\n",
      "年化標準差： 5.118 %\n",
      "夏普值： 0.531\n",
      "最大回撤： -7.65 %\n",
      "總權益： 1138192.0\n",
      "交易成本： -64308.0\n",
      "報酬率： 13.82 %\n",
      "年均報酬率： 1.847 %\n",
      "年化標準差： 5.633 %\n",
      "夏普值： 0.328\n",
      "最大回撤： -16.20 %\n",
      "總權益： 1240405.0\n",
      "交易成本： -45095.0\n",
      "報酬率： 24.04 %\n",
      "年均報酬率： 2.973 %\n",
      "年化標準差： 5.708 %\n",
      "夏普值： 0.521\n",
      "最大回撤： -10.87 %\n",
      "總權益： 1107579.0\n",
      "交易成本： -55921.0\n",
      "報酬率： 10.76 %\n",
      "年均報酬率： 1.519 %\n",
      "年化標準差： 6.103 %\n",
      "夏普值： 0.249\n",
      "最大回撤： -18.66 %\n",
      "總權益： 905385.0\n",
      "交易成本： -74115.0\n",
      "報酬率： -9.46 %\n",
      "年均報酬率： -1.106 %\n",
      "年化標準差： 6.170 %\n",
      "夏普值： -0.179\n",
      "最大回撤： -28.20 %\n",
      "總權益： 1011157.0\n",
      "交易成本： -61843.0\n",
      "報酬率： 1.12 %\n",
      "年均報酬率： 0.342 %\n",
      "年化標準差： 6.280 %\n",
      "夏普值： 0.054\n",
      "最大回撤： -26.22 %\n",
      "總權益： 1011657.0\n",
      "交易成本： -51843.0\n",
      "報酬率： 1.17 %\n",
      "年均報酬率： 0.342 %\n",
      "年化標準差： 6.177 %\n",
      "夏普值： 0.055\n",
      "最大回撤： -24.27 %\n",
      "總權益： 893936.0\n",
      "交易成本： -53064.0\n",
      "報酬率： -10.61 %\n",
      "年均報酬率： -1.244 %\n",
      "年化標準差： 6.606 %\n",
      "夏普值： -0.188\n",
      "最大回撤： -25.26 %\n",
      "總權益： 946203.0\n",
      "交易成本： -56297.0\n",
      "報酬率： -5.38 %\n",
      "年均報酬率： -0.526 %\n",
      "年化標準差： 6.255 %\n",
      "夏普值： -0.084\n",
      "最大回撤： -23.83 %\n",
      "總權益： 1067232.0\n",
      "交易成本： -55268.0\n",
      "報酬率： 6.72 %\n",
      "年均報酬率： 1.040 %\n",
      "年化標準差： 6.187 %\n",
      "夏普值： 0.168\n",
      "最大回撤： -23.05 %\n",
      "總權益： 1166335.0\n",
      "交易成本： -54165.0\n",
      "報酬率： 16.63 %\n",
      "年均報酬率： 2.202 %\n",
      "年化標準差： 6.255 %\n",
      "夏普值： 0.352\n",
      "最大回撤： -20.15 %\n",
      "總權益： 1172790.0\n",
      "交易成本： -45210.0\n",
      "報酬率： 17.28 %\n",
      "年均報酬率： 2.277 %\n",
      "年化標準差： 6.304 %\n",
      "夏普值： 0.361\n",
      "最大回撤： -19.74 %\n",
      "總權益： 1043483.0\n",
      "交易成本： -44017.0\n",
      "報酬率： 4.35 %\n",
      "年均報酬率： 0.766 %\n",
      "年化標準差： 6.496 %\n",
      "夏普值： 0.118\n",
      "最大回撤： -21.27 %\n",
      "總權益： 1013132.0\n",
      "交易成本： -53368.0\n",
      "報酬率： 1.31 %\n",
      "年均報酬率： 0.322 %\n",
      "年化標準差： 5.518 %\n",
      "夏普值： 0.058\n",
      "最大回撤： -18.87 %\n",
      "總權益： 1124543.0\n",
      "交易成本： -44457.0\n",
      "報酬率： 12.45 %\n",
      "年均報酬率： 1.732 %\n",
      "年化標準差： 6.350 %\n",
      "夏普值： 0.273\n",
      "最大回撤： -19.63 %\n",
      "總權益： 1154223.0\n",
      "交易成本： -42277.0\n",
      "報酬率： 15.42 %\n",
      "年均報酬率： 2.062 %\n",
      "年化標準差： 6.184 %\n",
      "夏普值： 0.333\n",
      "最大回撤： -16.88 %\n",
      "總權益： 1090882.0\n",
      "交易成本： -42118.0\n",
      "報酬率： 9.09 %\n",
      "年均報酬率： 1.317 %\n",
      "年化標準差： 6.046 %\n",
      "夏普值： 0.218\n",
      "最大回撤： -14.99 %\n",
      "總權益： 1074767.0\n",
      "交易成本： -44733.0\n",
      "報酬率： 7.48 %\n",
      "年均報酬率： 1.122 %\n",
      "年化標準差： 6.031 %\n",
      "夏普值： 0.186\n",
      "最大回撤： -16.62 %\n",
      "總權益： 1128593.0\n",
      "交易成本： -45907.0\n",
      "報酬率： 12.86 %\n",
      "年均報酬率： 1.708 %\n",
      "年化標準差： 5.095 %\n",
      "夏普值： 0.335\n",
      "最大回撤： -14.00 %\n",
      "總權益： 1141526.0\n",
      "交易成本： -42474.0\n",
      "報酬率： 14.15 %\n",
      "年均報酬率： 1.845 %\n",
      "年化標準差： 4.879 %\n",
      "夏普值： 0.378\n",
      "最大回撤： -13.86 %\n",
      "總權益： 1072961.0\n",
      "交易成本： -43039.0\n",
      "報酬率： 7.30 %\n",
      "年均報酬率： 1.063 %\n",
      "年化標準差： 5.382 %\n",
      "夏普值： 0.198\n",
      "最大回撤： -18.64 %\n",
      "總權益： 1251538.0\n",
      "交易成本： -38462.0\n",
      "報酬率： 25.15 %\n",
      "年均報酬率： 3.100 %\n",
      "年化標準差： 5.882 %\n",
      "夏普值： 0.527\n",
      "最大回撤： -18.21 %\n",
      "總權益： 1155626.0\n",
      "交易成本： -40374.0\n",
      "報酬率： 15.56 %\n",
      "年均報酬率： 2.044 %\n",
      "年化標準差： 5.617 %\n",
      "夏普值： 0.364\n",
      "最大回撤： -19.47 %\n",
      "總權益： 1311847.0\n",
      "交易成本： -32653.0\n",
      "報酬率： 31.18 %\n",
      "年均報酬率： 3.705 %\n",
      "年化標準差： 5.743 %\n",
      "夏普值： 0.645\n",
      "最大回撤： -17.50 %\n",
      "總權益： 1283277.0\n",
      "交易成本： -34223.0\n",
      "報酬率： 28.33 %\n",
      "年均報酬率： 3.435 %\n",
      "年化標準差： 6.037 %\n",
      "夏普值： 0.569\n",
      "最大回撤： -17.83 %\n",
      "總權益： 1315243.0\n",
      "交易成本： -35257.0\n",
      "報酬率： 31.52 %\n",
      "年均報酬率： 3.762 %\n",
      "年化標準差： 6.128 %\n",
      "夏普值： 0.614\n",
      "最大回撤： -17.63 %\n",
      "總權益： 1311816.0\n",
      "交易成本： -36184.0\n",
      "報酬率： 31.18 %\n",
      "年均報酬率： 3.731 %\n",
      "年化標準差： 6.174 %\n",
      "夏普值： 0.604\n",
      "最大回撤： -17.67 %\n",
      "總權益： 1338329.0\n",
      "交易成本： -35171.0\n",
      "報酬率： 33.83 %\n",
      "年均報酬率： 3.983 %\n",
      "年化標準差： 6.040 %\n",
      "夏普值： 0.660\n",
      "最大回撤： -17.37 %\n",
      "總權益： 1213837.0\n",
      "交易成本： -33163.0\n",
      "報酬率： 21.38 %\n",
      "年均報酬率： 2.708 %\n",
      "年化標準差： 6.003 %\n",
      "夏普值： 0.451\n",
      "最大回撤： -18.68 %\n",
      "總權益： 1193058.0\n",
      "交易成本： -31942.0\n",
      "報酬率： 19.31 %\n",
      "年均報酬率： 2.489 %\n",
      "年化標準差： 6.115 %\n",
      "夏普值： 0.407\n",
      "最大回撤： -18.96 %\n",
      "總權益： 1204024.0\n",
      "交易成本： -38476.0\n",
      "報酬率： 20.40 %\n",
      "年均報酬率： 2.616 %\n",
      "年化標準差： 6.234 %\n",
      "夏普值： 0.420\n",
      "最大回撤： -18.34 %\n",
      "總權益： 1204845.0\n",
      "交易成本： -30155.0\n",
      "報酬率： 20.48 %\n",
      "年均報酬率： 2.630 %\n",
      "年化標準差： 6.324 %\n",
      "夏普值： 0.416\n",
      "最大回撤： -18.33 %\n",
      "總權益： 1196224.0\n",
      "交易成本： -31276.0\n",
      "報酬率： 19.62 %\n",
      "年均報酬率： 2.530 %\n",
      "年化標準差： 6.223 %\n",
      "夏普值： 0.407\n",
      "最大回撤： -18.47 %\n",
      "總權益： 1227701.0\n",
      "交易成本： -31799.0\n",
      "報酬率： 22.77 %\n",
      "年均報酬率： 2.865 %\n",
      "年化標準差： 6.149 %\n",
      "夏普值： 0.466\n",
      "最大回撤： -17.38 %\n",
      "總權益： 1205758.0\n",
      "交易成本： -25742.0\n",
      "報酬率： 20.58 %\n",
      "年均報酬率： 2.634 %\n",
      "年化標準差： 6.215 %\n",
      "夏普值： 0.424\n",
      "最大回撤： -17.66 %\n",
      "總權益： 1229813.0\n",
      "交易成本： -29687.0\n",
      "報酬率： 22.98 %\n",
      "年均報酬率： 2.881 %\n",
      "年化標準差： 6.042 %\n",
      "夏普值： 0.477\n",
      "最大回撤： -17.83 %\n",
      "總權益： 1224760.0\n",
      "交易成本： -33240.0\n",
      "報酬率： 22.48 %\n",
      "年均報酬率： 2.830 %\n",
      "年化標準差： 6.084 %\n",
      "夏普值： 0.465\n",
      "最大回撤： -18.48 %\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>天數</th>\n",
       "      <th>夏普值</th>\n",
       "      <th>報酬率</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7</td>\n",
       "      <td>0.826240</td>\n",
       "      <td>39.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>0.696710</td>\n",
       "      <td>36.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>41</td>\n",
       "      <td>0.659512</td>\n",
       "      <td>33.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>37</td>\n",
       "      <td>0.645226</td>\n",
       "      <td>31.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>39</td>\n",
       "      <td>0.613918</td>\n",
       "      <td>31.52</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    天數       夏普值    報酬率\n",
       "5    7  0.826240  39.27\n",
       "2    4  0.696710  36.17\n",
       "39  41  0.659512  33.83\n",
       "35  37  0.645226  31.18\n",
       "37  39  0.613918  31.52"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "optim = []\n",
    "for i in range(2, 51):\n",
    "    df = performance(bias_cal(price, i), i)\n",
    "\n",
    "    sharp = ((df['總權益'].pct_change().mean()*252) / (df['總權益'].pct_change().std()*np.sqrt(252)))\n",
    "\n",
    "    ret = round(((df['總權益'].iloc[-1] / df['總權益'].iloc[0]) - 1), 4)*100\n",
    "\n",
    "    optim.append((i, sharp, ret))\n",
    "\n",
    "    result1 = pd.DataFrame(optim, columns=['天數', '夏普值', '報酬率'])\n",
    "\n",
    "result1.sort_values('夏普值', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "總權益： 1392725.0\n",
      "交易成本： -78275.0\n",
      "報酬率： 39.27 %\n",
      "年均報酬率： 4.467 %\n",
      "年化標準差： 5.406 %\n",
      "夏普值： 0.826\n",
      "最大回撤： -17.13 %\n"
     ]
    }
   ],
   "source": [
    "result = performance(bias_cal(price, 7), 7)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "總權益： 1392725.0\n",
      "交易成本： -78275.0\n",
      "報酬率： 39.27 %\n",
      "年均報酬率： 4.467 %\n",
      "年化標準差： 5.406 %\n",
      "夏普值： 0.826\n",
      "最大回撤： -17.13 %\n"
     ]
    },
    {
     "data": {
      "image/png": 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isoWkihZUsKCihaUnBgC0nQVpKJ9W0YISwWQyJYKUCKai+Rr9YGa2a+1JBGkwn9b4XFaD+bQHaJP5BduoI9crth3zA3Hljej8g9eKv1b9vFA17/K93o6CppN5pYoJDRRSKlpQUb79mn99/pzKTV94UmPhNOh3FqRsMal0MalD6e79NlYrC9K62ZxMUt6CClZUofJ/or/2D7dMDurkQ+uVCgn9dHSv5hKFluaXCgllC0lNJ/OaS8T3Xl6fzCQLGsynlCkmlQymmURB2WJSI3MZZYtJTSbzR+bjJ6qCgsX/cf88zk8qWFHTybwsmDbMDihXSGom4ScdiqXnFS0cOUaQ5h9fxNtWdaySCKZsMaVcIaldE6OaTOW1Pz2t2YQH+RYcVxz5BMK89d+C9XHFenreejVeMSlfek+ZQlKFhC87eQsazqc1mE9rMjWn6WRe2UJKpvI6PVhQpphUkDSVzGs6mdf+zIxmkrW/07HprArJotbN5pQpJio+A9P+zLSK8vmZTKNzGW2eHtRRU8NKFxPKFVLaPD2oYEHJMP+kkAXfBhxMzyhdTGp0LqOBQkrlozk0a2BAet7zpNV+3ms1BKhmNf99mKSZqscXe+yIEMJlki6TpN27d/fX1qMJJw8O6gODZ+lv/jaUV4blCNCR6wcOSrfeJg0OSjOzQcUgbT9KGhouP29ySvrNTUFj4yo9N/hetzQv7aM4mFd+fKbi/vnTBIWKrULV4yrNd5nH40rfgjQyka7es5cSQcWB/LzTYvFtH5mmdArKQsVWovoxla8v+5ikkAwqDuZlBZPlE1LBFl4vJKR8xfXgz1Mi+P1FU0gEKR0UUkXZTLL8ZiUpUfEZWp33x++q6K8773/RpLwpMZ2SzSU8XaXC1KRp61bp4EFp3z4pYdL27dItt0qDA1Iu5/8PHJQ2rJf27JFmpqXsgJTIFHV4ShoeDUcOqA4d9BVrOhMWXyYq32/1NLUeV+1pbCahxGzyyO2ZmaBCURoYlA4ckDJZKQRp/Xrp9juCMmkpk5PGx6R9+6VCQaXpF76WJB06JGUyUjZXXggOHZY2b5b23CkND3ubDh2Sxsf9/c/O+vOnpqTBoaAQpLm8NJDTvLbPO6Ss2paHVFEhU/TvLkilI0dflmNUNUhKBV+W5h/hLr5cLzeNKm8vnMbyCV/WVfE7ToTS8lf6zhLyNkmyuYRf8iabS2huKqHJCWlszJeZW2+TRsbCkfYd3pdQQlImbRoYDEqkpMOTQbOFoKGRoJl80MCQNDHlO6K5sWJ5HVW9Nq+151j6PzdrmpqSxkarHq9+XnzsyOJhyuelYlHKVG9Vl3i9I59jg69Vfd9ir3XwgP9mUylpz9ycksE0dVdKmzeYUtmibi/MKp3Skc/ZKtZzpSMCf71ixbyLPt3sjJRMS+ls0FSxqHQuqDA6q2K24OsY6ch6rhnBggpjs7K5hBIzSakw/zOZt6Mbys8pjs0pv35aybmErxsSobSDX552bH9W6dsGZLNJ2WxCNps4ssweWU5t/vWQqFiW5zdkwfUjv+GElN8wrcLYrO7YdViyOaloSkymquaz8HcoVWyj4n2hwemP/F8QuZKClJhOaWAqqZApaiZb8PVKaRuRDFKyYOX7aqwHFqieRvLt3UxSiZmkbCYpm0no8J1JrRtMami0qBsnZzUyEideYmGp8TmXX9a3cyEZpGTwdeRUUsnDaRUzBVnetwc2ldTctGluxrR5o5TKSHfsLyo9VFRxIK/iiCfe22yNDLx6I24LfpO13krVvPKmxHRSU/uT2jiS0K17ixrdXFCw4L+h0u9w3nJpQXN5zwYbHQ/au09KDhWUyBWVmUv5ewi2cHsa18/mn1NxIK9irqDiQF5hoKDxO3Oy6Yojn1rrnZrvs8YyVnE7eSjj+zipoqZuziiRCsoOBVk6KCSLUsKXlSPPr/645y3aQRMT0ratkhK+f5JM1niOfHs7vi5obKz03CDdeZc0N+urtYRJ4+ukO+8KSm2Ykx1Ma+rWjJJjeRVTRWVnU5qclEa25zU3I6VTponUnIYsqWK2ICWDEofTSuzPqJAoamLdlLLbZjW9cUpWKG3j8gmlCqZ05T7hUr+nZT5LkylxOKXk/qxmp6WZdF4DW/L+m55N+r5lqiibS2jqUEJb15uGsglZIaFEwXTnTF57b0pqdFSaPmm/9p2wX1894WYpFZS5dkSpO4fnr0uqm7HMCdjC2KyKg3ml7xgsbef9PScKpkTRP4ditqCZTFEhVVRiOqWJwTkdGs6rODjr64m5hEKqeOR9+z5P4sj258i+j0eolJhMKSSDbtk8pcK6SSUPZPxzLppUTJT3mRY73qjYhzzy/lJFFbNTKozP6MoNt0uSEofSSkxV/z5qb5Otxv7VktOq4r6iKTGVVEgXS/tXaalgunN8RsWBadlEQomJlJSK64kjb0whMycpKDGZVmIyo8yBdSpen5MVTMODpsnb0toxntLB9RM6sPWQ0iGhPeunff1p5XWMTeeUmExpYnhONpvUneMz+tnOvU0XB0ocSil5IKPC2KxCuqhSZE2JibRSd+Z8W1zaZ0geyPj2uLQNV6K8DQ7J4pHnJ2Z8G548mFFqT06pvTlprvS9h/LxzpEuKqXvvda+aXFoTomplPLrZhQyRf8dZQsqDuV9G3Y4VXq9pFJ3ZUvHTTZvuxlv21xCiYPplgJyQUGF9TOaOPsO5ddPSwVTYXxWui2pS/adrI0bm571irAaAlS3SrqvJJlZQtI6SXsrHt9nZutDCHslHVWaftUbSib1jPuM6hn/svR0n/yk9Du/I23cKE1O+n2vfIr0/OeXp/mP/5D+6I+k8UOday/6y1ypg+wPviI9+MHSVb/woMsrnyW94x1S4U7pgguk006T/uEfpKs/L510knTXXdLQiE87OCFt2ODzyeelvXs9qDM+3t33EoJ0xx1SNiuNjEiZPdLoqHTxxR5o+sgnvU3JpPSTq6VTT/UD+kRC5QOnKocOSTMzHuCKvYkOHpTO2SB97cfSunX+ujfd5L+tb3/bz3h89zv+OrOz/hnNzS3+GmvJ3r3Spoz0/Es9yPcnfyKtmyx/tjfd5P/HxqT73lf6+c+liQm/bNgg7d8vPehB0pXX+vcQl7tG/eY3ks1KO49v/Ll33eXf56ZN/XNma/SQ9NHLpNNPl0480T+XO++Ufv9J0hOeIJ17rv8WGrV3r3ToDumNb5S++13phz/05XmlCsEvy/QMRJscOiR98IN+suAlL+neOnB21vdzDhyQXvA46dnP9vVJDF702l13SUftkFJ7pNGap1Lni4GZgQGpcIdvXwcHpaGhzre1Fb/8pa/nl9rGSv59TUz49rTaxIT0wTdL9763dPLJ/r5rrXf37pWe9SzptRVDJN3znr4cHHect+Uv/kJ68Yt9/X3UUdJtt/lr5vPeRtsr7Zrw7UwmI43NLtyPmZvzbc+o+X5BN8R9mw1Zafy22tMcPixddpn0wAeW7/ud35E+c610/vnSz7+2TnNfkqwUnE1Np7vQ8pUlJIqaHZtV+nBaibk+2bg36OabfZk/9gRf/77tbdJ737teP/+y/3bqlR+YU35wTiFdVH4wr+ktEyrk8kpOViw3FTGZ5IwHTOfGZjW1eUKFwbwSdwwrfTAjyRQsKD8yq4kdh5SY9iBjfnhWczG2Xjo5YsWK6wVTIp+QBam4flb5TEFTo7MqZlorKbCYxExCxXSx4cBcYiqpzIGscncMyoLp8M6DGr5xVEPXjymki0rEEyGhdPIh6UG4kPCg/cET9mni2IOSpORkSiERlD6UUfrXK3hnqwGrIUD1eUmvN7MhSRdI+oakp5jZUSGEv5D0aUmXmtk/SXqCpOf2rqn95173ktLp8qVYXLjDMDTEjvtak89LRx/t3/umTb4DfNpp0qMfLb397b6Df/bZ0s6dvnyY+QHq5KS0bZv02Md64CoqFDxAFANf3X4v2azv0M7NeSDj3e/29r72tb7cp1L+P5fz54Tg72kxiYQ/p1Dw64WCT/+kJ0nf+pb/jmZn/eD/wgv9N/V7vyc94xk+fTbrAat3vGP511oLMhnpNa/xz+/qq/1zO3CgHOgbGPDPbGbGH3vSk6QvfEG69lp/vFDwz/JnP5Oe+tTGX79QKAcoMpnm3kM268vPzExjO3ydMjfny+gZZ5TX3yH4+zv55PL6vhkTE/4e7353P5j7/vfb1+5eOHhQuvVW/1ymp/27XOu/yU4y8+3K4GB3P+eJCT8B8f3vSzt2+DYgn1/+ed2SSEi7d0uf+czy08btRiYj7drlv/fZWb+/n4Xg28O4jl/K9HT5cv310imnzJ/PunX+GWzd6sG9WgGqYnFhgCuV8uf967964GbbNv/sZ2fL+8DHHusnQsx8OS0U/LFksvZnnM/7OrWb+ziFgn//6SViSnEZqZTJ+Gf6gAdIv/qVv+80galFWTGh7L5cr5vRErPy78PMl/FUqvH1RWoqrdRUeVkZuW68fY1sQVBQfnhOs2MzRzIyw5GsK8/mr+xpYPF/Md42JaeSmhudVfauASWnPCCUmE0qUUh4Rncur0KuoGK6oNnx+DpBIWZaJ8oBpkIur9n105odn9HkjkMKiaCB24Z0+JgD2nePPXW9p8y+rLZ8ZYfGrtk473M+cEDSM9v/GfabFR+gCiHsMbO3SvqOpEOSniQPRO0qTfImSR+V9GJJHwkh/LAnDe1T27b5ZccOP7iLgYZKg4MEqDrtpz/1M3fNZDO0w8SE/48HDPm8jqSPbtrkQaiXvcyXlfe+14MJ971veWdfkv7v/6SXv9wzM2680Td+UaHgt1usmdyU2VnpbneTrrvOA1MXXFB+bN0631lLJssHpcmkT/+Tn5SX/clJb3/c0SsUPBhRKJR3Srdv9yyVEHwDsn+/B/Te8Q5/ztln++f38597AO/xj5f+7u8IUMUA0wMf6J/lmWdKX/yidP/SeKsHDvgB2KmnSpdf7meuX/pSz4C76KJy0GV01A/uBgf9O18s0BSCn0EcHfVgkpkHWSYn/cx3ocnyG2a+PN11V3PPb7eJCelhDyvvlGaz/rs28yBtKweziYR/V5s2+YFcPx3kNyMGpaampFtu8fXd1q29btXqVSj477jZ31qzkklfZ/zkJ9KWLb4MJxK+XeqHfZx02oO+V1yx/LQzM76MTk76/tv4uGcz9nuAqlDwdfSHPyz91m8tPW0MCE1Plw+m47q7UChnKm3Y4JlEtSQSC/erEgm/jI/77z5mc5n5axx/vPSoR/l+WQi+rZ+b8+vLBahmu1jCa27O11Uzy2TbVW8Ls1l/v/e4R/9k+6Kz4jIvlY/zFluWVyKTKX04o/ThJs8wluT21E4/tWDzgnMDdzSXphoUNLtuWom5pEKy6F0aVeoKX9ldsLJb/RrVB5vk1oUQ3hdCOD2EcL8Qwg0hhL8MIbyo9NjeEMKFIYTTQgh/1uu29hsz78J1+unl27UCVGv5ALobMplyF8teiGc1Dx70lPjZWd+Bl7z7w+CgH+xKftbta1/zgEG1t7/dAzHDw/N3+AuF8n2d2iBOT3s6e7WZGc8UfOpT/cC80uhoOUMwDmQzOCiddZbfd7uXHdCBA96dYnKyHFDZvr0ccJub84yz7dv9eiLh/3fvLr9WIuFdSkZHpb/6K5827mivZYcPe+bKMceU79u40T+vfN4vb3qT9JCH+PV4NnzHDv+M47Il+XMe9ajay0GUz3s3t0JB+vWv/ZLPl3fiGz1QnZ315xcKnq3UL8GaREJ6xCPKt3M5X35PO83faybTfMA4kfD5bdjgQdelzuCvBMWirwdmZ/3gDZ0Tgv9uR0d9GezWAVLMdn3kI/073rKlnB3TixMniznppPraMzvr+21f+IJvTx71qOYyIrpldtb3LwoFD6xVbj8XEx8Pwdcx09O+7o7BoLgtGB1dfF7J5MIuj8lk+YD9+98vB2zMfD7j4+X9glSqfHItBsxqvVY8KdLNz39uzrPKltqHCGHhOi2d9v2d00/v7D4Z+kdlBlXc31/p2+2VyGTK7htQ+nBGmQO5I0G11FRayZmUEnOesbXWg1PSKglQoTVvepNnx8RMkeoA1dAQG7BOa+Vg8Y47fMevVe9/v/Sxj3l2TyLhAQDJazO89a2Nzas6QDUx4fVutm/3LIVOuOmmckCpkpkH0173uoVnC4eHPQMkkSjXIfnHf5Re8AJ/LAZmcznvDnjzzR782LjRd7LjjuHcnM8nk/HHYre0k6vGDH3Sk6R///dyN9qJCd/hvvHG/jpIasbkZHNnj4tF/7wrmXl9jNtu853oBz7QA59DQ+XvKZfzM+jT0/PXWXe/e+0g0113+W9lctLnceed5QO6fN6v79xZzoyrt+033ODL3Yte5MGfyufu2+eDBzRyue669iwLhYJ/ZlE26+/9nHP8duzi18y6PQao1q/338H0tC/LK3U7kc2WMygrzzSj/eIBczo9P7OjUGh/96jY1Vry3/iWLb68ZrPlDLnhYT8B0ev1bwzcnXhiOcgdg+mVJ0huKY1PXSx6YGbDBl8vXnKJZwf3629wzx5f/xYKvv6tp4txzGyLGdhxXX/oUPkkkuTzW2xeiUTtAFXlSdfY5S8GqAYHffsdA1Qxyy7W+6r1GadSfpKlm+uO2Vk/KbLc9qo6EBGCt3d0lAyqtSKRKH/XxeLqy6DC6rPiu/ihdXHn/BWvkN7yFu/eVGloyDeA09OlEVHGyahqt3hGrxmHD/v30mz3wBDKG6xdu7x44utfX+6id9RRfmnEjh3lHcbJSU+hf+ELvQvC61/fmRo9uVzt5TKdnp+dU2lszLuU3Xpr+fM75xz/PGOgIn4+J53k7b7lFumZz/TnVJ7hja9xzDHlHd0TTpj/etms71hHMXNretoPRm6+2Q+i+qGGUaNuvtmX4507/UBk+/blnzM76+uXhz504WPPe570iU9Iv/3bfnv7dl83VR5s7NolXXnl/GV/ZKT2Tve+ff695HI+n507vSvhxEQ5e+be9/b/n/ucB8ekhUFGyZfp6Wn/3sfGPHvuRS/y+mOV3UBDkP74j5f/HKLrr5c++lHP+hsY8GUoHjjVq1gsv3ZlsfjBQb8vLn9m/ttopotprNU1NOS/iwc/2DMRpqZW3rIb1535vAf0PvtZdto7qVAoZ6tWnpg5eNADNJs3Nz/vYtG3h3F9ELvu3u1u/v2uX+/L/MUXl4tcP/e5fnLm9tt718Ve8rZns+Xs0WLRAzFnny098Ynevj/9U19eK7fZlXK5/l12zcrBnYGB+k/KpdP+HabT/h3mcv4dx0C75OvgyiBNCOVsSLPFM6iiGISK2+3hYX+deN/69f75J5O+jNTaV0sm/UTYj37U2OfSinTaA5rxREOt9XitDKr4vuL1fl1m0D7x5EscEGRgoL8zLgECVDjiGc+Q7nOfhSOQ7NzpB4JXXeU7TxMTK3vEpn4Uz9Tddlu560G9qnc+8vmFZwiXcvvt/vqV32mrO+rxTGKh4O35sz/zYM3WrdIb3uD37dnjy1O70owXe8/F4uIBqgsvlM47z7NgzjuvfP/AgGeTXXihP39gwOvtxC55D3uY9KlPlXeKMxnv6iR5ts/Bg/78mIW2mHPO8QOyj360/DqHD6+8g3ypHNCcmKg/S2562j/3WvWi7nlP/5xj11LJA4OVAfQTT/QuLpUjKo2M1D6AiAGfQsFrWWWzXkctHjRlMp4BlUx6DZilRsKK9U6Ghz049cUv+vPPPdeDQrEry1lneaCtEXfdJX3lK96uPXv8fyO/xwMH/LVHRub/HuIBV+zOLTW/g5pM+uhr8eDtAx/wQQA++9nG59VLIfgy+M53Sq9+tX+X8TNZ67XhOiVm/kjzgxQxQNOKyUnfhsb5F4vzA8YbNvh3+mcVxR6e/Wy/781vbu21WxGCF6u+973LZRbiuurssz2rWfLltFj07WcIC9dR3e5i1ojBQQ9Axu1cZXejxX5nyaRfYq2l2NUvZg5F69bND3ZNTXnm2c6dfnu5AFWsRRYDVCMj5fVloeDrhVtv9eeNjS3cvsTst1NO6W4GVSrlJw/j975YgKp6+1o5YmmKo8A1IXbxiyUqcjm+e/Q3Fk8ckUzOP3iJEgkPKjzxiZ7FcP31BKjazcwP7CvT2esVR6GT/IzrxITvkIyPL7+zlM97QGTr1vZ+p4mEH+xffbXfvsc9/P/IiG8gr7/eA3EzM+0JUMWU9SgOJx53OGPwqFqsL3H55QsfO+YY36k+fNh3qLdv9x3duTl/Pz/96fyzkLHLyO/+rtfxqmdwgcsu8//XXOOFe1fy6GGpVHmkvcpuEEstz7OztWuZSf45vP/98+971rPm345dMSozhRYbtnx42L/DJz2pXLvk5S/37/TNb/baao97nAfiKw+cq3f8Y82roSFfJ6bT5YBirDP21rf65xALvTfifveTvvQlvz401FjXoxjcPHBg4UFZHM1y06byfTGDqlG1RoY69tjejNLZirjeeOhD/WD22mulf/kXXz6mp/09NvN7nJ72oHet7Lu1Ltb7knx5rAxQtXpwb+bzjL/ZyuzDQmH+sl/p4Q/37KReiV3X4iiy4+MeBI9ZX1EcATafn/85RvG996NYxymf93W2WTkYbFYOrFeK25JYP6xY9OfkcvNH9KsO4MeagnF9VL1v8zu/M38wi+oMqo0b/XXvvNM/4127pG9/u9wtrno5nZ31fYzR0e5uv0Pwti4VmKyVQVX5u6Cb19oQC/zHWmrZLBlU6G9UWkBdzjlHevrT/eCu2WHYUVs8m5VON140O+7cxSBPseiFwA8e9J2r5dx0U3nHuN3f6/3v7zuYseZElEx6ZtF555Ufb/WSz5eL+YfgwanzzvMspre9rbkDHzNf5u+6qzzq1AMeUO67f/TR5c89Fn6N1q/3kebqNTbmBynxTG4jDh3qj0Lr69Z5llzc+QnBsxmuv37x56TTvvPfrBe8wD/3444r3xeDoJXm5vx7fP3r59e7etazfNTJTMazFNav96yn2M1jZGThZzs56ZlXV1/tdc3+6I/mP75rV/k7fPCDG39Pv/3bvjzccIMHm1Mpb/uBA0tf9u3zANVDHlIuQl0p7pBWqjywWW4kqEqxi1+lE05YeUVXKwvsn3RS+azyiSf6ctvsiIyxizAWquyaFgOkcRvYysiScd6ZTPk3G7u1SEsHqLZuLbejF2ZmvG1veIPfPv54r0s4NTU/uJJMlgM9yeTCTNvKEwO9fD+1xAyOublyuysD5Mmk9M//7Cdr4uVd7/IBTqRygGp01N9nZeAu1rSK8nmfbmqqXFOq0pOf7BmfUWWAysy/i1gjLZPx2zGQOjZWDu5UrjtPPbX5gHazYpAy/naiyt9RZRZhVHnShS5+a0flCfDYawPoVyyeqIuZ9Od/7gGNv/zLcteIWEsCy5uZKe/AxILCMW09FukeGmpsNL/43ELBuwMlk14k+oc/rK9gdSrlO3p/8Rft37G6xz18J69yh1Ty9h59tJ+1/uIXWy+ans/7PF75Sunv/76cwnz22d4NoLIrQKOe9CTpve/1TBvJuwE9+9l+/eijywcB+fziBz/1GB8v13drJFAgebbWxMT8AFkvFAr+Oa1f71lksdDvYt0V5+Y8qBJHi2zGpk2ebVQZAB0eXhhUmp31gMFibfniF8vdBMfHveDwV7/qt2+/ff7Bz+HD3vVzMWNj5Vo6MXOwEaOjvq594Qt9Ph/4gB+sLuerX5U+9CEPFMWuKJXGxxceqMTfZwgeELvb3eormhszVSo95CHl2jjd7OYSDxybec3Koeqlckblqad6d8VmR1adnCzX/FqpGZGdErtQSeXCvXE7FpefZgs3Fwq+jMdBD6T5n/9i2ZVm5WB0Lw7aikXp0ku9xILk2/DLL/ffcHWAKnZxi/WYKlVmUMWaezFbtB8kk97umPlVGaAqFj0wV/meHv94P8nx2c+WA49nnLHwd7l5s887ZjwVi37fjTfWLpJeLRZJjwftMeCVSPjvOH4HhYKvX818O/Cb33gm19ycB9K6HaCKtYSmp/1zOukkv/+WW3x/IJerHaCSyutLiqSvDTGDKmZSS2RQob8RoEJDtm/3DVvM0Kk8KI4Fn1HbDTf4wfjYWLmO1+xs+Uzoi17khYa//vX65xmzVR7wAK9bc/LJPp8HPtBrii13gDQyIj3lKfPr/LTLaaf5juS6dfPbkEx6mx/3OL+0Kp+XfvYz75763vf6Z5JOt1ZsN9q+XfrkJ8sZOpUF4486yndM5+b8ILeVHb2NG30n85RTpB/8oL4D27hjMTjY26zGEKT9+/33f/753p6hId95jwcgxaJn+cQis5IfQA0Pt/49bdw4//bYWLlGS/wM43DyiwVtqw/invtc/21ks961o9KPfuTd8BYTs+GaDW5I/nu84AKvr7V7d/nAdSkDA35Qe+yx/rlXB6h+93fLXW6jTMYPtG67zQ9m5ubqD1BVZ0sNDPjB269/3d0aajF4t1iduaUUi/M/pxigOuGEcs2yRk1N+Xr+0CEPbq5fT9ZxpcoAlVReR8TRE+tdBhebdzZbDlBX1hqqlXFUaXzcg/29CFAVCvPXQccf7+9jfHz++i12ibzxxnKdpEqVAapYVLzbAePFxBNye/fOD1DFdfXcXO2u+Js3+/v81Kf8eRs3lk9+RFu2+PPNfP65nNcD/I//8BM+ywWo4nISg1QxmJ9IeEAsdqscH/fvxqy8fZP88ZhB2s0AVRxwIHb9lMrbvWLR99PjiJnVz4u/MbJo1oa4bMfsQokAFfobqyY0JJHwDfSPfuQ7E6edVn7spz/1gx3qU9UWz+zeeadvIM47z0cLy+X89otfLL32teWd64mJpbOgYqHRoSGvZXT77b6Tm8v5AfTwsO+0LXVwlEzOH4q+neJw3tUbwHgWuF1SqXLttHg2MZ4Rb4fjj699fybjtY/27Wutm5rkQYW4k/ulL/nOZWXh71ruvNN3vhcbta5b5uZ8ufvXfy0fAD71qd6d7pRTPHDw+c/7umNiorxzFA8E2hFIrBR31CsHc4gHrmeeWd88jj12Yde9aO/ehQNJVBod9ffV6o7/unWNje4ZD+Q2bPD3XV2g/+yzF/7WEwlfjuJoilNTy3cXjV1oaxW03rhRuu463xacdFJ3DoxnZ8sFpRv5HRSL/vup/J1t21YeLn5goHzw3EhWz8yMLzvf+pb0ne/4NpEAVVmhMD/oEruZxuyVubnmu0fGbJHYtSsW2ZaWP4G2fr1nIfdCMjl/exWXvze9af6orx/7mNfLu+02X24PHZo/nxhUkXwbuGOHnxir/jzjNrnboxZu2uRdZ2PAKNaJ+tWvfL1V63cSA4txdNz4vEqxnuXGjX6S5BOf8LIU//IvtaevFg/e4/xHRnwfJZmUnv98DwhOTEiPeER5FOvYBTA+f926hYGzTorrvFi3Mq6P4z5frPf1hjcsDJpVBi2pQbU2xGU8LjPSyuuSj7WFABUadsYZ0je/6X34X/3q8v2veY307//eu3b1s5tv9o3BzIxvKOKQ9p/5jO9ExDOHRx/tgaZYjPvSS2sf5OXzPvJb5XDIlWcfzbxOzpe+tPzOWad2UuOw0tUHdmeeWa4r0W65nB+cVI9K2CnHHOPfbasBqp07/Ts//vj5xV2XEoK/x9NO83odnTIzU659UsvsrAeiYvcCqdzt4aEP9WX4//0/34E/fLj8nEJBetWrOrP8JZP+O4rLQAj+e2jHay0VnIqPDw1Jj3xk66/VSCbS1q1+8HTaadLHP15fl9Pf+z3pOc8pF5t/3/uWf87UlPSf/1l7hMrYra2bBz2xe87kZGNB6X37yl0xo2OPla680gMAMdg9OekjeC02umrMzjPz+WWzXs/sqU/1Gmff/Gbr73E1MfNAfJTJlLeL69d796RmpdP+vR06VM7UOnDA579cgGpsrHe1/JLJ+durXbu8rdWZPzt2eJb0unV+vTrjqLKGoZn0lrf4PkW1G27w3/3cXPcOUkPwzO7vfW9hF7+BgcX3U7ZsKRdVX8zYmE8zMCBddJGf+Nu+3QNW+/bV177KmjyxJmestRc/owc8wANplUWm43vLZv153Vrv3XCDLwex3TEbJnZnj6P31Rr4qDJARQ2qtaEygyoGrJsdJAXoBgJUaFis6RO7OkWVBTpRNjtbrrVx8KAHI/J533GIKe7bt/u0cUd1asrrwVQOh13tK1/x7IfFavg88IFeW2cxU1Pzg2Od8OIXLzx7+8EPdu71Bge9sHEM3nTaiSdKV1wxv0h3M84807Pnzjij/qHCUykf5S6d9mLujWaQ1GP/fl9GEonFAzNzc35gX2n9ev/8H/hAf+ztb/eD/L/5G398asozA+55z/a2N8rl/IDh9tvLBW671f04l/Ouuq36wz+UXvay+qc/+mjpa1/zg796l8eNG8ujL27c6Adg9XjoQ2vfXz3iVjcy+5JJ/8zrqblXKZORHvWocn25Sps3e9fn973Pl+8dO/w3Wusg+Ve/8i7GRx/ty/XDHlY+AG90FMa1IJ2e3x3z+c/3mmuFggfof/Ob5uedTHoA5447ygNbzMx47cwtW5YO+I6M9O67qq6TNDbm661a27CxMR+ApHqEU2lhF7PRUd/fqLZzp/SSl0jvfOfymbrt9IxneHZlfM1YVyqbXfy7ecADll+fmpUzSM891+e/bp3/n56ur22V9dDS6XKwL46SnMt5bbCNG8tZfpXLSy7n03ZrGarMjk+lyvUEY4AqFkqvNZJoPIkQn4vVrzKDKu6T892jn7F4omF3u5vvTFV3zYlnzzHf4cO+s3nokI/Qde65XvRz165yjYgTT/RpTzihXMNmuWyPpz/du1EtVuvm9NMX3wBNT/tO/ObNnS2u/cIXdm7etQwO+ufZrQDVb/2W9OEP184macTwsJ/R/sUvfKdzuYPtWJz9nHN8p+PMM70wfru6NUrl7iOveIWfiV+s+26xuDB4tW6dX2IA6rGP9YP4GKBKpXyelUOFt9Pd7uavcfiw9Mtf+sHpcnVI+s2GDY0/p7ruVD3Tx1Gg2pFJEX9/3cygSiabL078kpfUXv8lEl6z6x//0ef7B3/g2VC1fPSjnol2+LC/58qMheHh7nb76XdxQInKDKrnPteDSO94h68PPvtZ707VjIMHfd7f+la5rtOBA75c7t+/dJC6VwGqOOx79YmmSy+tnZn7kIf4er+WbLYcHI41nxbzrGf5iYNuFfKPJwkqT1BlMv69nHCCZ5Mvpp72bd/u+zWbN/vJnm3bpL/7O18m6mHm24zpaf8cM5nyuiWVKpdTGBwsB3fiqMExW2l4uHvLUDpdDjScf75/ftde69//ccf5+77b3WoH/o4+mi5+a5GZr3/jvgU1qNDPCFChYUcf7Ru96uLEzRaVXe1SKR/16zOf8SLekvTMZ5ZHm8tkPNgkecbJfe7jXfOWO7P5whd6V57Fzjjv2LF4V7HpaQ+arbbaKDFjIZ/vToBq925/zXZ1U0ullg5QVY54FA9GJM9oufLK9rSh0mte4wdE73ynd5UYGlp4sBDCwgDVtm1+IFK5c3zccb5DPTNTHi68U/7nf/z/ySf768ThuDFfDFC1q6vP0FA5k69b24LY/bSRg+wYFKjO/Ks0OOjL9Qc+UDsLIcpm/RLrhVUGFWZnva5RM8HG1SYOkjA0tLD76YtfLD3vef6dnHdecwdNxaIHFM86y08axBEaEwmv5fSqVy2dMRDXE9124IB08cULR5t9yUtqT18rIyqKWey//KUHapYKyA0NeVAun+9ON79YH6yyZMHkpF9OOKH1gRWOPrrcPfTSS/3/Ur/bajGDamqqdgZVrJ0Zu6IePOjrzZkZD05ns+WAdDeCfhs2+AkyyYO7+/Z5lnIqVR7BcPfu2s/9gz/wALzEKH5rRaybNjtb7vZLFz/0MwJUaFhMla8OoORyDKldLaZhv/rVC8+QmvlOwu7d8z/LzZt9I1JP6v2FF/rOeC3r1vkGqLLrVwhepHR01HdQV1uRxBNOkP73f33HstFskmbEuiat1qCK8vmlg4Z79vgBzTHHzA+43Pe+5YPudhWmzue9e8XOnd5V9NJLfUe8ustmdYFfyZft6gOuTMYDs294g0/fje8nl/Plf3KSAFUtW7dKT36y9KEPtacL5OBgeX0zMeGXVpbHgYGlC2aHUK6/Eru0xILbS5me9uyCpQ7OzKT/+7/l25jL+XxiF4rKjKzZ2fJBwFreNoZQPpB/xCMWfhZm5fXefe/b/Ovc//7ehUwqF2P/wAf89txcOVO5lhigmp319UU3MksOHvTXfcMb2jO/XM6X7cFBf7/LBX127vSsm24FqKoHVsjlfDtQfbKzGcceu7BofCN+93e9tt5VV5XrTsUAVQxMxfZv3uyfcyLho5auX1+uSRW76Hf6955IzB/ddccOvy+X8+X8yis9s6qWyhEtyaJZG2KtxLm5cpB7te3/Y3UhQIWGJRLeVad6WO/KjA64yUnPQNmwwc9aVat133nnefbJcsWYJen3f3/xrifxTN+hQ+Wd7TjCneSBsW6P4tNpp5/uO8IbNnRvWWxHvaFo587ymdx83s/mVmaCTUyUz/JWHrifeqrv6B865P8nJ5cvLLuUAwd8RzvuyBxzjAeo/vZvywVYZ2fLO+X1Zqs9+cmeRXjwYHcy3K64wjMNv/711s/Qr0YDA9If/7EHuespqr6c2MUvkfBgxP3u53VbmjEz4weMcSTQWgdRxWI5QDU35zXHDh5cOhAh+XqwcnS0VuRy/vrFov8+K09ELBdwXiump31ZO3zYBwfppA0bPDhVKMxfpi+5ZOnnDQ/7unV21jNvfvd3G69r1qg/+RPpXe/yk0ntEAcJGR31eS63fT/xRA/odXrdGH+/1RlsL3mJfwaPfnTrr7FrV2ujMD7rWd419Ec/Ko/QF4ukV2ZQSR6Evu22coA7nZ4fvNq/v/mRKBtRGWCI+w65nGcrDw/XF+wlg2rtiN1TY3kWMqjQzwhQoSkPetDC+2KffZQVCo2fEb7oIumCC+o7q5hMLr1zu3697yxJfuAWRzZKJqX3vKexdq0EJ5zgB7aLFY7vd7mcdPnl0sMfLu3d6we4+bwvR2aeBTQ56QfilaMzpVIeQLrsMr99001ek6PZIJCZ9La3zd/JfvSjpb//e9+hOXjQ2xDPWtdb+2rzZi9M/d//3Z0A4vbt0oMfLP38563XCVvN0un2FEuOWVixu9tb3lJ7FKl6fexj/v/WW/1gu/oAd3Ky3L1u507pu99dmKVRS7HYvtp78fVPOskPbiuDIrF93SoY369mZrwA+tRUa8tDPdat88DS3r2NBX5iJlxcNh7+8M61MXrUo9qbaRNH9B0bk/70T5ef9ymnSP/1X+17/cXMztYeBfORj2zPaKeSZ+Y9+MGtzWPbtnI2X/UofvG65AMEXXON3xe7TsXH7nUv6dOf7nyAqjKjS/LPN5PxdfD55/tvrp59SDKo1oZEwgNU6XR5GxUzf4F+RIAKbZPNlld2sWvDWl/5ZTKNd/9KJMrdElq1caPXo5A8yPHsZ0v/9m/lkQVXm+OP9+Uwjoq4Eh13nGf9vPGNPlT9k58snX22f18f+Yj0utf57+p5z5v/vBiUi0NeNyt2Fawe0e2443xZvv56X5YGBrzQ/ujo8hkrlV70ouWzGdrpJS9ZvJ4L3GmneaZnq2K2U8w2qDXEfSMyGQ/Qjo15pkf19uSWWzwYayb90z95If56tjmxqHE7xMDGxo3zsywk79L6jW9wAFgseoD7nHMWr4vTLrFm0OBg/SO4ST59LHrdre7A7d4/iiPJ/dEfecBmOTt3difDb2JCevzjO/sasSteK7ZuLQeoYiZzIuHLU3WAamDABwH58Y/n18C7z32kT32qtXbUo7JbrOTrn5jJddZZ9WeIMpLb2jE46MsMASqsBKya0DaVAapDh/z6unVrcwUYh1qXmus6066U+61by6NIxULRyeTqPZs/OOg76d3oPtZJz3mOd4W75BKvqxLt3l3eaT733PnP2bDBdzbz+YVDYDdiYmLx7p8vf7n0speVhyrO5TyQ1kg2yo4dZDP1m3/7t/bMpzJAJbXehTid9gzQE0+svR3Zvr0cjP7nf/ZMvkJh+fnGEbvaIWYOx9EQK8VM2Kmp9rzWSpXJSPe4x8Kgd6fErqaNBF82by538Vup24+4Tq53/bpzZ+1BL6an21cwPgbN2hEA77QNG+aXqqisQVUZoNq0yddtF1zg3aMr1yWnnda92j6Vy/fYmL/uhz7U2DwYxW/tGBgggworBwEqtE3lUN+plBehveaa5bM54kpzNfnlL30jkEq1p7ZLs7ZtKx+wxTPDsZjvajU0tPRIRyvByIj0k58svD+O0hTCwiLjmzb5DkdlkdxmzMwsXifmHvcoZ58UCn7gffHFzb0OVp+zzip3dykWW9/5jduU5z53+Wmf8hTPoPzHf1x+2nYGqMzKw9HXCvznct7Vby0rFHx/oFuGh3099uxn1/+cHTu8nbEb/EqUy/n+Vr2Zi0cfXR5cIP5WDx/238Zpp7Xenulp345ls53PnGuH9evnDxbxpS/5djaeFIq/740bvUv0fe/rgarKbfGJJ/q2t9OF0quzQGMX6Eazp8mgWhvMfNnOZstdnxsd/RboJlZNaJu4Ydy3zzfQH/yg9Pa3Lz2yyuSk9L3vedbG0JB03XVeR2ilB1ByOS80ffTR7RmhplkxaCH5/1zOd6waGX55pfn611vr4tbPYoAqdnuqdPLJ5aK+Z57pXYua6b4xObn4Ac6mTeWRKWNXmpWabYD227nTa8p8+9vtWcdkMr68nXnm8tM+8IGeVfie9yw/mmUMKrVDnFesRVNtYKB92SgrURzVsZt1AeOIwo2s/7ZsKRdXX6nrtFzOT05s21bf9ENDHozL58vL7uys9JrXSM94RuvtmZry2mxnn70ytsnr1s3PXo/b2DgyaGU3vq1bPaB1//t7t/tocNAfO3iw8++5XQEqMqjWhoEBzxSN28bV2pMCqwMBKrTN8LBvwO+4wzfQmzdLb33r8s/7j/+QXvEKP3O3YYP0q1+Va9qEUD4gXkliWvjrX9/bjcD4uHeRGRgoj/Dy8Y+v7hHNulU/pBcGBvys9IknLiwAvH69f79HHeXdDq6/vrnX+M53/GC/lkzGC9F+8Yu+bLGDg2qvfKXXZXnc41qfV6wFU28XUjPfDlV2sa6lMhuiVcceKz32sR7YrbWdiqNerlUzM37SqZtn6psZUTiZ9OXsuutW7jZkdNTrFDaSFbNrl+9zxQBVZY2aVg0M+O/xXvdqz/w6bd262sHJGKCKMplyRuD7379w+s2bvUh/vQM2xDIM9Yg1saozqEZG/P5GeyOwDV874v5hFLevQD8iQIW2GRkpj1bUyAgmmzf7BnpqqpxyHh0+XA549etO49SUX9avL9+XSnldl3PO6V27Yju2bPEhkUMoZ1BhZYpnwN7+9to7Fp/9rB+kDA4230Vjuedddpn05S970XSg2gkn+KUdslk/YGyky9XYmHTnncsfqLWra8vAgPTa13rm8NOetvDxWA9prZqe9q7B3VRZD7MRxxzjxfhvvbXtTeqaRgasiNNfc035pFUi0d6s77e9rff7QfXatcuzx6otl5FZbcsW6eqr65v24EHfJ6v3JOyNN/o2vjpAlUyunAyq/fs9gMc+RPeY+QiqlYM2xVE/gX5EgAptMzbmG/LR0cY2kve6l5+x27/fuwU+9KG+8Yp9+Nev9x3G445bemVaKHhXwVYL8zbq0CF/35U1B1Kp/jhrePLJ0oMe5AdRn/wkZ8tWukRC+upXF++C0o3aW4nEyih4i5Uvmy0P/V6vdeuk229fepp2dvGrfN3qrEapfOJmrUok/MCom5rJoJL8RNj4eHuy/1aKk0+eP7BACPNPtrWqntEE+0UyKZ1/fu3HGlmetm+vLysqBoY+/en6u8D+1V9J7373/KLt0fe+11zmYLdNTDSWNYbWheCjTh5/fPm+2BUa6EfETtE2sZbB0JCPQFav4WHpf/7HRx855hg/e/ea1/j8pqZ8JToysvyQ0YcPe92nekZxaqfBQW9fLIQbiwP3Q82FnTu9aPDb3+7tOXy41y1Cq1ZqfRSgUdls40HX9euX3wa0s0j6ctat6/42qR3iSZdWxQFTuimdbu7AO44Cu5prNFbbuXP+vkoIq7sEQDPOOkv627+tf/pt2xYGpQsF7x0QL/l8eaTJzZvrn/cll9Tu4ic1F5RNp7ufQVU50iu6o1BY2HuCABX6GQEqtE067Su86enGR8E55hivexODVc95jvSwh/kKdf16/z8zs/SGNJ/312129LJm5fNeUDR2TZyb84ywflvxZzKctQKwcuRyjXcD2bBh+YylbgaoxsdXZgbVjTdKt9zS2jxiDcnKs/bdcNRRzX2/97//2ut2VB0ADmH1jarcqkTCl416rVs3/zPM571URS7n2ewDA55FdMcdPnpkI/uKGzf6/AqF9tRmHR3tzfqJAFX3xPVwde+SRkqxAN1GgApt9e53S+96lwecmhV3Zt/4Ri/Y/PCH+6gpJ588PwOoOlgVh/ruxtnq2dlywKxYlC691HcyQvAdj8c8pvNtaNRHP+pn3wBgJRgZ8SLkjdi8ub5tQDcDVP1eJH3//oUHqSH4Nm45N93k27xqc3PSXXdJ971v7a6PnfTGN0pf+ELjz3vEI6RPfar97elnse5nXEaLRQJUraoeQOTQIenpT5e++13fp/3Od7yrfjpd/4iL0dCQB8xi9lWrRkd7EywiQNU9xaIHRat/1wSo0M8IUKGtHvQg6dGPbk/hvcFB33j+8R97l8FHPWp+AfXbbpu/Y1wsSne/e3cCVL/+tY+SVij4DsMxx3im19ycb3gf/ejOt6FRJ5648kZDBLB2nX124wW266mf04kaVIvp1QFgvYpFr/lYnXmcydTXTX1qygs9V5uY8K59f/iH7WlnIwYG2ltHaTUbGvJlNGZXk0HVuvHxclZULPnwnOfMn2b7dv99NdrbINZlTSbbs589PNz99VMiQXHubioUvEZwtYGB/j95grWLIulYMe5+9/IOc0xvjjvVcSfglFO8UGQ3JJP+unF0waEhH8lp40bp1FO70wYAWK2e+czGnzM+Xl92VLcOyoaH+/tgbHraD1QqM6hiFk0IXtdxdnZhN6R40JPJ1O4ilEpJf/d3a6ue00q1c6f0q1/5d04GVevGxsoH/gcPeqC9VjfXgYH6i6NX2rzZsx7bYWio+wGqZHJl1uVbqQqF2lmsudzK7H6OtaGPd5uA+U45xQNSsT91PAM1N1feWd66tTsr3GTSX/uOO8o7CoODvjNyySX9V38KANaCsbH6Dri62cWvnzOopqb8ILXyTPqhQ54NnU77du6qq6TrritffvhD6X7384FBUqna27s4oi/630knlbv5FYvd+22sVrlc+feUTErPfnbt6T73OekVr2h8/tu2tS+IODzc/f3VVKq/g/arTaFQO6M0lyNQiP7FZggrxvr1fsapUPCdqPXrpdNOky6/3Iuibtzo96VSvuM8N1c7rbUdkknfqR8bK3c7PHDAV/j9WH8KANaCkZHlD7i62cVv06buvE6zMhn/LCoDVGY+8McjHuGZy9Vn38fGpCc9yQNXiYRPf+hQ+fFCwbuMMeLoynDSSf6dzc3R/aodMhn/PS03SEAz2VOS7++2q1zD8HD3u3klk50ZsGdmxj8XThDPVyjU3g6Njvp3PzvrmbScUEA/IUCFFWXTJmnPnvLZ2ZNO8vumpnw0lHXrPEB1550+facCVImEbwiPO0669lq/b3LSN/ZrbRQgAOgXcad7Od3KEtm0qb/PUofghbJvuMFvz876iZYHPnDpg+ChIT8QzGalj398/sHNC18oXX01AaqVYtcuH4BmYqJz+0xrSewquWeP/5YaLYS+nKOOqq8+XD2qsye7oV31s6rdcot/1hT/ni+frx0MTST8mOmuu3waAlToJwSosKJs2ybdeqtv/EdGpJe9THrWs8q1n375S99pHhvzaebmOlNPIZn0+b72tdI11/h9+Xx/d+UAgNVuZMTX/Tff7LVaFjsY6ta6ev16D1CF0H9n9mOGx44dPuiH5IGK5z53+QyNWFurWPQ6U5Xb2WOPlX7+czJxVoqjjy7/Hqg/1bpYvy2ZlB72sPYPTrNpU/uCv8PD3a9DFLMu4zpxetov4+PNzzOf98+9n08G9EoIi2fybt7sgb1YSxfoF+w+YEU55hg/wxszqBIJPwA4/ngPSq1bVw5WPexh3u2gWGzvJZ5tymSke95TespT/HYiwZkbAOilkRE/SEmn/czwL35Re7puZVDFs9Sd6NLSqhD8c4hBvRC8vU94wvLPHR72zzmRWBjUOOMM3zZiZdi50/dnMhnqT7VDHDggk/Fusu22YUP7sl2Ghrof1InrnbhOPHDAA1StmJnpzXtZCdLp2kXSJT9Wmp1dPDBdPbor0C1sirCinHWW15wqFmufbYld/J74RN9J/tzn/IxwO8UaWM997vz7N21qvqYAAKB1MSMgmfR1fxxKuzJ7KR4gdcvmzdKvf91/2SmFgh/UxW4+ExPebX6xmjmVhoe9W/vOnQsfe97z/IKVYXDQT/RNTfXfMroSxQwqM//tt9uJJ0oPeUh75hXXj93O8BwZ8aBSHIgh1nJtVgxQXX89XdWqJZOLd92NJ9VrdfPM573r9/HHkw2L7iNAhRXlPvfx//l87RXu2JivcI86SrrggnJ9qHa6/Xavz3Hf+86//2Mfo4sfAPRSzGSNo9PFbmjV6+ZuBqiOOqoz26JWzc35GfQYoMrnvct8PbZskS69VHrpSxc+1m9dGbG844/3bEMyqFoXu7AVCp0JUG3e7HXe2sHMA5S11pGdEoIH2b7/fX/tVKo8Qnez645EwgNdIyP92Z26l8wW7z5ZOeJktampckYyASp024pe5Mxs2Mw+amY/NLNvmdmC8tRm9gYz+42ZXVW6nNqLtqI9du6U7nUvP3N797svfDyZ9I1UuwpI1rJ5s89/Zmb+/aOj9OMGgF5bv953qI891rvZVHf7KBS6W8B7587+6+IXgnTjjf75DA76AWIqJT384fU9f2hI+uu/9vpVWPke8ADPnmt3vaS1KpXyfcROBKjardtd40KQTj21vE6MXYtbKdaeSvn6aGCg+zW1uuHwYT/uaUYIi2dQDQwsHpgMgbpe6J0VHaCSdLqkfw4h3EPSZZLevMh0fxJCOLN0uaZ7zUMnPOMZ0tat0jnn1H48m+3sToGZ78gdfXTnXgMA0JyjjvIDnq99zUcou/NOae9ev+zZ4wdGW7d2rz07dvTfTn6x6NvKdNpr2hw+LF18MSPvrVUve5n0tKd5xgRaF+vgrYS6pN0ulF4oSCec4MHQELx7X6zb1Yw42MNZZ0nbt/ffyYB2KBSaf1+FwuIZVIODHqCqFRyMhf77bduFtWFFJ/OGEL5dcfN7kharerC3C81BlzzykdJ55y0e9f/KVzrfB/0//qOz8wcANOdud5N+9CO//uY3++iu0U03Sd/4Rne7LGSzXt9pw4b+6SpRKJS7xOza5dvMJz+5161CLx1zjC+jaJ3Z4oWp+83oqHTbbe2f7+ysZ/1U76vn89Jxx/m6MGazZrPNF+Sem/MAzOioZ8/uXYVHfImEf27FYmPbkHzeM/mWy6BaLEAVMwEPHeruSR1gRQeoqtxf0g8Weey1ZvYXkr4i6fdDCIxLsMINDi7+GAUSAWDtOu886bOf9ev3u59feun88/0AodGDi3ocPuy1QhYbRnwxhYJndwwOekbwQx7CyHtr3RlnSH/zN71uxepg5vXdVoJYZ6jdJia8FEflgAl790p/+ZceDC0UPLi0fbsHsqrLZtRrdlY6+WS/PjS0Orv4xVphk5PlLNd8fvmacTfd5MvhYl13Yw2wpQJU+/f7axUK1NlF9/R1gMrMXiPpkYs8fEUI4S2l6YYk/YGkR9WY7jJJ75Q0JekTkp4p6T01Xut5KmVg7aw1LA0AAOh7F17oQap+sX27n+HvRNeTw4c90HTnnfU/JwQ/iBsdlV70Ii94/t73tr9tWFlWUtZPv+vUCH6dMD5eDupMTkoHD3pmTaOKxfkFuUOQHvtY7/UQheCB8M2by937jjrKAykHDjTX/ny+XAuv290Vu8VMetCDpE9/uhyg+uUv/eTCUic9hoaWPnmRy3lX1FqfWQxQFYs+XT5PgArd09cBqlIA6i11TPpeSZeFEH5RYx63xOtm9nFJNQdQDiFcJg9maffu3S2U6gMAAL3Ub8We0+nmu7AsJZmUXvlK6bnPbex5P/yhH4CcdVb72wSsdZmMBw9WgvHxcgbVzIz0uMdJr3td4/MpFqVHPUr61a88wDU87ANEVDKTTjvNr590knTlld7d7667mg8s5fPl1xkZWZ0BqmLRRz78/Of9dqwPtVxWbi4nfeQjiz+ezXq3yD17aj8ei9fH0XCBbunrAFU9zOydkg6HEN5Wcd9TJR0l6R2SHivpcklJSY+Q9OEeNBMAAKxRmYx3eWm3VMozoRrtOkh3PqBzHv5w6UlP6nUr6rN+fTn4UCj4CHvNdk98//s9a+rOOz17Z6kOKeeeK331q17baMMG6RcLUgzqk0yW6yONjq7OQEqh4N0iKzOY6gkaxcEwFpPNegbt7bd7IMqs/FgIHry88cbF61QBndIn5TqbY2bPl/QSSaeZ2Q/M7CozO17Sdkm7JOUlnSTpZ5KukfRzebAKAACgK+KIVe2WTPqBIID+8ba3eWbQSlA5cmM63VrXxFNPlV79ag96zc15973FxPVWLufPa7YGVTJZrks7Orp6Aim33SZNT/v7KRQ84ywGpGIG1XLvNYSlA1SZjLRtW+0THCH491iZrQV0y4rOoAoh/JOkf6rx0F9WXH9T6QIAANB1rQyjvpREolyTBAAalUqVM2eSyXINqWZt3uy1pTZt8uDTYnI5X3+l0z7yajrd3OuZlYuFr5YaVLE+19SUfydjY/ODb/UGjZbLoNq2TbrHPTyTrVYG1aZN/jp08UO3regAFQAAQL/LZjtzZt+MABWA5lUGqOLtViSTHlg55pilp8tmPfARu5nF7mv79/v1ysyupZiVg1tDQ/O7wR061PzIqYVC70YFj6OsmnnX8KOP9s+pMoNquaBRHAxjqXqMZ5/tl/e+11+z8rMy866XyaRfOjHIB7AYAlQAAAAdFANUxaIfNI2NtWe+IRCgAtC8ygCVWesjtaVS80fWW0wm46+VTs8fac6s8WBIDFANDPg8CwX/bya98IXSfe7T2PyKRekFL/Buh0tlIHVKsVjOkEqlfCTEXG5hF7/lAlSpVH0BupERae/e+feZeRe/RMJfa3a2+fcDNIoAFQAAQAfFANXUlBcQHh2dn7XQjELB51lvpgEAVIuBnKjZjKPK+UlLd++TPECVSPj/jRvLIwlWZkTVqzJAJXnB9ZNP9kDXk5/cXNH3u99d+v73exOgisGluTn/PB7zmHI38ZiJG2tQxdvV25MQ6h/NdnR04Uh+lRlUcTQ/oFsIUAEAAHRQNusHS7Fm1PR0a11ppqakO+7wAwgCVACaVd3Frx0ZVPUEmbLZcgbV+LgHX4pFf24MVtWj8rVisfSYXZTPN5+tumlT77q1VXbhKxR8NMTK7ylmUBUKPsqeJO3atXAe9Qb64udfycwDfqkURdLRfQSoAAAAOiib9aG8x8Y8qBTPkDdrdtaLEc/MEKAC0Lx216CK81sue6cygyqRkNatK2cMFQrlbnr1vqbkAZW4bs3nPUDTbPH1LVsaC5S1U7Hon8nsrHTaaeUsrliHKgaf9u/3bUD8/q691rPFxsZ8uphRtpzxcT9pMjhYzqBLJMrBqVjMHugWAlQAAAAdNDDgO/hzc9JLXyo9+9mtze/WW6UPf1j64Adbz3gAsHZVB6ja1cWvkQCV5AGh668vPzYzU86IWk5lBlWs3zQ311p9vs2be9etLY6oNz0tnXtu+f5Mptytz8wDWPE+yb/LqSn/7AoF6YQT6nu9JzzBP/uf/az82cX6V8mkF5+fmGj/+wQWQ4AKAACgg7JZP4jK59tT02TbNumpT5V++cvW5wVg7arOmGo14B1rWi23nqsski75Ou2Xv/Sg1ZYtHixZrjC32fyubAMD5cyrvXu9DlWzxsd7lzVULHpwbWREuve9y/dnMh48igGqVMrvi/UIY0Bv/35//PGPr+/1zj3XL4cOSVdeKV1+ufSf/+nzT6Wk7dulm24qvy7QaQSoAAAAOihmUE1Pt6/o7rZt0mWXtWdeANamWrWN2jG/5TKostn5GVQ7d5YD+E98ovSrXy0fDLn+eunb354foIpd+3K51kZLHRlpPZusWSFIxx3nmVD3uEf5/mzW7wvBs5oOHCh3+5ubK4/al0p5Da2nPKWx1x0Zkc4/3+f/3/9dDlBJvr05eLA3ReOx9hCgAgAA6KBcrryzzw4+gH5RnUHVag2qmEG1XIAql5ufQbVjR7mr2gMeIL3oRcu/1je/KT3tafO7+Jn5vN//fu/u1qzhYW/PzTd7BlE3M4dCkI46SnrBC7yrYZRIeIAqlfIssz17yl0lJyf9fzLpdQ5f+EKv69WM+N2kUp7BdcopHuz78pfZfqE7ehQbBgAAWBuy2fJoU+zgA+gXnahBFbufLeVud/MsoPjamzdL+/Z517x6g2Tr1s3P8olFvjdv9iDXQx/a/PsYHvYMpRC6P4JdLHD+4AfPv/+e9/QMsZhBNTbmAapTTpEOHy4H6pJJ6bzzmn/9wUH/TIeHpfe8R3r5y6V73at3oxpi7SFABQAA0EFm5e4suVyvWwMArrpLXzu6+MVuZkvJZKSPflQ6/ni/vWmTrxvryb6Kxsb8dWJgJp32125HttPIiM9veLg3o/nt3Lnwvoc8xN9vrLu1ZYt/Vk98ogePYjfJynpUzYhd0itHiN20qfXsOqBeBKgAAAA6LAaoyKAC0C8qgw7trEFVT4HxU04pZ2xt2lTOqKo3QDU+Pj9AFU8EtCOgNDzsAbDx8e4GqAoFf0+XXLLwsRjAiwGqnTu9K9/55/t25eij/bF83j/LZg0MeBsqA1S9rMmFtYdFDQAAoMNigKregy8A6LR2B6iSyfoyqKpt3FiuIVXvc2MgpXL6dgWo1q+XXvlK6aSTuhugOnBAuvhi/zyqDQyUA1SZjHTaad7OTZs8QDUw4N0ep6dbC1DlcgszqAhQoZtY1AAAADoontkfHyeDCkD/iF3Gom518as2MuLrxmSy/iC+mfSFL3i2U9SuAFUyKT3zmR4A6nSA6o47pIkJv14oSCeeWHu6GKAqFLwQ+steJj3mMX7fyIh05pne3ursp0bFwF/l5zoyMn85ATqJABUAAEAHxQDV7t21z4wDQC9UB5LakUHVSBZUZCb98R83PtLp+vXzbycS7S3mPTbW+SLpBw54cXipnGlby+CgB4kKBa8/lUiUs5o+/3kPqMXsp1aynYaGpMc/fv6yEEc1BLqBABUAAEAHxQDV3/7t/GHDAaCXKjOoetnFT5JmZjzA0kr2T8wwapfx8c4HqCoDconE4vW7cjn/jhKJhSc6YsDqmGNa70aeSHiwsNL4uDQ3R5AK3UE9fgAAgA6KASoA6CfZbHsDVI0USa8Wgncva0U63d4A1eho+fMpFDoTrIrdIqPFPruBAW9LKuUBo1pe9zrpsY9texM1Oloe0ZDR/NBpLGIAAAAdRoAKQL/ZvNmDDiG0J0A1OOgBlrm5xp97ySXSBRe09vpDQ9KhQ63No9LwcPkzufNOz+5qNYhWqVAoB56kpTOo1q0rf0+LBag2bvRR/Tph1y7p2msJUKHzWMQAAAA6yKz1Az8AaLd0Wtq6VTp4sD0BqmzW6zYNDjb+3FTKu6q1ot0BqsHB8smFXE76+tcX1r1qxfS0dM455SLpS9XvyuWks8/2elO96CpeGUgDOokAFQAAQAdddFF7C/cCQLusWyft29eeAJUkfec7rc+jWUNDHuRplxigCsGzwlqpj1VLLie9733SpZf67eW6Rz760dL//q+0aVN721GPdJoAFbqDhHMAAIAO2r5deuELe90KAFgoBh7aFaDqpaGh9nanHhjwoFGx6NlhzdTWWk7lCHnLBage9CBp27bFu/h1UjJJgArdQYAKAAAAANagygDVSq+VNzbW3hpJseh7sdj+7KloZMRrUR0+LN1119IBqs2bpc99rjffE7Wn0C0sagAAAACwBmUy5eBUO7vH9cKf/ZkXM2+XGJQpFKQNG9o330pxdLzpaQ9WLZelNTramXYsJ5UigwrdQYAKAAAAANagTMYzhFZ69z7JC5i3s4h5DFB1MoMqFh8vFv31+jVTqRPdG4FaVngiJwAAAACgGem0B0dyuV63pP/ErKFi0TOdOsFMetGLpKc8xYOE/RqgIoMK3dKnPwEAAAAAQCdlMt7FbGCg1y3pPzFrqFjsbNe6V77S/3/mM/5d9COKpKNbyKACAAAAgDUomyVAtZjKGlRjY51/vWRSmpnp/Os0o18zu7D6EKACAAAAgDUoZlANDva6Jf2nsotfNwJUqZQ0Pt7512lGHO0R6DRioQAAAACwBmWzna2xtJJ1O0D1ne/0b7F6AlToFjKoAAAAAGANil38CFAtFLu1JRLd+Xz6NTgl0cUP3UOACgAAAADWoNjFb2io1y3pPzFrKJXqbJH0lYBR/NAtBKgAAAAAYA2KGVQjI71uSf+JQZlkks8njmgIdBoBKgAAAABYgzKZ7tVYWmligMqMABU1qNAtBKgAAAAAYA2KgYe1HoCpJZXy4F0IdPGjix+6hQAVAAAAAKxBqVT3ioCvNJWj+K31ABVd/NAtKz5AZWZzZnZV6fI3NR7fYGZfMLOrzey1vWgjAAAAAPSbTMZrLA0O9rol/SdROlLO5wngJZPe1RHotNUwYORNIYQzl3j8rZI+Juk9kr5hZl8KIXyzKy0DAAAAgD4VA1S5XK9b0n/MPEhVKBCgIkCFblnxGVSS9i7z+IWSPhpCKEi6vHQbAAAAANY0MqiWl06Xs6nWqmSSzwDdsRoWs6PM7LulywNrPL4uhLC/dP0WSdtrzcTMnmdmV5rZlXv27OlUWwEAAACgL2QyXmuJAFVtZlI22+tW9F4y2esWYK3o6y5+ZvYaSY9c5OErQghvkXRBCOEaM7tA0kck7aiabrZylpJmas0shHCZpMskaffu3YxRAAAAAGBVixlUAwO9bkl/SiT8M1rr6OKHbunrAFUpAPWWZaa5pvT/y2aWMbNcCGG6YpJ9ZrY+hLBX0lGSbu1ciwEAAABgZchmCVAthQCVSyalqSlfXrJZuvuhc1b0omVm55vZ0aXr95O0J4QwbWZPNbNXlyb7tKRLzSwp6Qml2wAAAACwplGDammJBAXkJem446RTT/Xg1MGDvW4NVrMVHaCSdIekj5jZNZL+VtJTS/dvl7SrdP1Nkh4j6UeSPh5C+GG3GwkAAAAA/YYMqqWZEaCSpHveU/rCF6RnP1vK53vdGqxmfd3FbzkhhKslnVvj/r+suL5XjNwHAAAAAPOk014knQBVbWRQzbd5s7R/v7R+Pd380BksVgAAAACwBlEkfWnJJKP4VcrlpPFxqVDodUuwWhGgAgAAAIA1KAQPwiSTvW5Jf9q5U7rXvXrdiv5x8cXSxo1SsdjrlmC1WtFd/AAAAAAAzRkeJji1lI9/3OtQwSUS0oYN0k039bolWK0IUAEAAADAGrRxo3Tllb1uRf+iztJCg4NkUKFz+MkBAAAAAIBlDQ1511CgExrKoDKzMyWdJ+n+kk6RtF7SOkl5SXsl3SnpB5K+IemLIQSS/wAAAAAAWAWGh8mgQucsG6AysyFJz5X0bEmnSSpK+rmkn8iDUvskpSWNS9oi6WGSfkdS0cy+KOmfQgj/3YnGAwAAAACA7iBAhU5aNEBlZglJz5f0Okk5Sf8j6VWSvhpCmFpqpma2UdLFkp4g6d/N7EeSXhVC+HKb2g0AAAAAALpodJQAFTpnqRpUJul5kv5O0tEhhGeFED67XHBKkkIId4YQPhBCeKSkkyT9WNKlbWkxAAAAAADoOgJU6KRFM6hCCAVJ92z1BUII10t6VqvzAQAAAAAAvTM62usWYDVrqEh6LWa2SdKp8vpTt0v6aQjhjlbnCwAAAAAA+sfgoJRMLj1NzLBKLNVfC6ih6QCVmeUkvUOeHZWpeGjOzD4s6SUhhIkW2wcAAAAAAPpAPQGqW2+VDh+WTjqpO23C6tFKTPOvJT1U0iWSNskLqR8n6U8lPUPS37bcOgAAAAAA0BcGB5fPjMrnpVTLfbWwFrWy2DxW0lNCCF+puO8GSW82s2Ml/bakZ7cwfwAAAAAA0CcGB5efJpmUzDrfFqw+dWVQmdlv1bh7VtLIIk8ZLT0OAAAAAABWgaGh5YNPyaSUTnenPVhd6u3i93Yz+5yZnVxx34ckvdfMXmxm9zSzE8zsQWb2HkmPk/TBtrcWAAAAAAD0xMCAFMLS0ySTy9epAmqpt4vfqZJeKelbZvZ+Sa+X9AZJM6X/GyQFSSZpv6Q3ymtRAQAAAACAVWBoyEfpu/VWaW5O2rlz4TTJpE8TAl390Ji6MqhCCDMhhD+VdHdJWyX9UtLvhBDeImmbpOMl3b/0f3MI4Y0hhEKH2gwAAAAAALpscNCDT4cOSVNTtadJJPyyXKYVUK2hUfxCCDeFEJ4s6fGSXmBm35d0nxDC9SGE75T+5zvSUgAAAAAA0DODg1Kh4JlRi43mFx8rFrvbNqx8DQWoohDC1yXdW9K7Jf2Xmf2rmW1va8sAAAAAAEDfyGT8/3IBKjMyqNC4hgNUZpY1sw3BvUfSSZL2SPqJmb3GzDJtbyUAAAAAAOgpMy+UHq8vNg0ZVGhG3QEqM3uBmf1K0qSkO8zssJn9m6QNIYSXSnqApAdJ+qmZPaYTjQUAAAAAAL0TR/Kjix/ara4AlZm9VtLfS/qOpCdKukjS6ySdK+kbZrY+hHBNCOFhkl4u6a/M7IsdajMAAAAAAOiBoaGlR+ijix+alapzuhdK+lQI4SkV933WzL4m6bvyoumXSVII4eNm9llJL2trSwEAAAAAQE8NDvr/xTKo4mOFQnfag9Wj3i5+45JuqHH/daX/Y5V3hhBmQghvbb5ZAAAAAACg3wwP+//FMqgkadMmaW6uO+3B6lFvgOrLkp5mZufFO8xsnaS/kRQk/b+2twwAAAAAAPSVkZFynalDhxZeDh6UTjqJGlRoXL1d/F4g6WOSvmxmhyUdlrRJ0oykPwghXNmh9gEAAAAAgD4xOuoBqk2bpHvec+Hj3/qWtGWLlMl0v21Y2eoKUIUQbpJ0XzM7V9JpkoYl/UbSl0IId3awfQAAAAAAoE+Mjvr/P/9z6ZGPXPj4Bz8onXiidPnl3W0XVr56M6gkSSGE/5X0vx1qCwAAAAAA6GNjY55BlVokmvCMZ0gTE9Ls7NKj/QHVlqxBZWb/ZWZPaOUFzGzIzP7EzN7QynwAAAAAAEBvDQ0tHaCK04yOSvl899qFlW/RAJWZZSTdKOlDZnaNmf2RmR1X74zN7H5m9i5J10v6XUm/brm1AAAAAACgZ7JZD1Alk0tPt3MnI/mhMYvGPEMIs5JeamZ/I+mVkl4l6U/N7CZJ/yfpGkl7Je2XlJY0LmmLpDMknVm6fYOkt0n6uxDCRGfeAgAAAAAA6IZUykfwWy5AdeKJ0jXXSIOD3WkXVr5la1CFEK6T9EIze5mk35J0rqT7S7pQ0kDV5PslXSXp3ZI+H0L4ajsbCwAAAAAAeiedri9AddJJUqHQnTZhdai7SHoIYVrSv5cukiQzy0paJykvaV8IgcUPAAAAAIBVKp1evgaVJO3aJWUy3WkTVoeGRvGrFkKYkXRbm9rSMDN7saTnxpuSTpS0IYQwWTHNB+RZX4dKd50XQtjfxWYCAAAAALAq1JtBdfTRjOCHxrQUoOq1EMLfS/p7STKzp0k6rjI4VeHZdDcEAAAAAKA1MUC1XAbVjh3S7KwUAoEq1GfRUfwiM/uFmT2mdH3IzD5kZnWVOTOzfzGzB7fYxnpeJyXppZLeusgkezvdBgAAAAAAVrvYxW+5DKqREZ+2WOxOu7DyLRugknQ3SaOl6zlJTyn9n8fMxms890GSzm62cQ24SNJXSl0Oa/l7M/upmb1xsRmY2fPM7Eozu3LPnj2daSUAAAAAACtYvV38JK9BFULn24TVoZkufguS88xsh6Qfm9lLQwgfLN03IOkoST9qtnFm9hpJj1zk4StCCG8pXX+UpMsXme5Nkm6VlJH0NTP7egjhC9UThRAuk3SZJO3evZufEAAAAAAAVdJpD07lFqStLJRKkUGF+tUboMqY2YskDUkKkp5tZrHW04dL949Jep+ZjYcQ3iXpnqXHmw5QlQJQb1l2QuksSa9bZB7Xla5OmdnnJB0vaUGACgAAAAAALC0GqEZHl582k5GmpjyLamKiXI9qcNCzsIBK9QaoBiW9s+L2X5b+B0lfrLj/zZL+2sx+Ku/ad3sI4detNrIOOyTdHm+Y2asl3Szp05LODSF8olQ368GSPtaF9gAAAAAAsOqkUn4ZHl5+2nRampyUpqeluTnpAQ+QfvUr6dZbpfXrO99WrCz1xiz3SxqQdHTp9lHyoFVld78QQniDvKvdu+Vd87oVDEqHEAoVt3dJ2i5pStJDzeznkq6S9JEQwne61CYAAAAAAFaVYtEzqDKZ5adNpz1rampKetKTpA9+UHrrW+t7LtaeumtQhRBmzGy6dHM6hDBttceKfIWkX8iDRK9ovYl1tW1d1e0XVdz8vW60AQAAAACA1W562jOo6pHNeoCqUJCOLqW7bNjQubZhZVs0g8rMzjSz/5R341vw8GLPCyHcKulTkqZCCF9vvYkAAAAAAKAfjI7WN4KfVB7Fz8yzqSRp3ToKp6O2mnFPM8tI+pak6VqPL8XMjpH0GHlh9dNDCD9ppYEAAAAAAKA/nHGG9PU6U1EqA1Qx62rdOq9HFe8HopoZVCGEWUlPk7RTni2VMLOdKteg2mFmu1SVXWVmCXn9qR9J+rGkizvUbgAAAAAA0AMDA/VNF7v4JRLlAFUu5/eTRYVqi3bxCyH8ZwjhUOnmqKQbJH2/dPsHkq6reopJ+pCkcyQ9VT6630XtbCwAAAAAAFgZamVQSdLYmNelAirVO4rfYUmPkmdVBXkA6tGly28qprtA0sNDCL+U9FVJu0tZVQAAAAAAYA2JGVTVAaqNG6V8vnftQn+qdxS/fAjh02YW6+1/LoSwNz5YGs0vSDo1hLC/dPeVkrKSTpD08/Y0FwAAAAAArAQ//al0yy3S9u3zA1SbNkm/+lXv2oX+1Ex202JlzKwiOBVH85uUdFoTrwEAAAAAAFawgwel4eGFGVRbt5JBhYXqDVBZqavejKQ/Lf2vdIOkc2s87wdqYiRAAAAAAACwsn3iE16HSloYoKIGFarV28XvfaVL9MdmVpQHqg5IukvSLWZ2rXz0vm+HEK6SdH4IgbgoAAAAAABrzI4dPmpfoTA/QLV5s5RM9q5d6E/1BKhetsj9aUk5+Qh/myRtlfQISS+QJDPbI+lfzezvQgjXt6GtAAAAAABghTDzelM33jg/QLVu3fzbgFRHgCqE8K5GZmhmI/LR/B4tD1Z9RhIBKgAAAAAA1pgtW6Rf/GJhkXRbrLo11qxmiqQvKYRwKITw8RDC70jaHkL4YrtfAwAAAAAA9L8dO6QQ5geo7n53qVj0CxC1PUBVKYRwoJPzBwAAAAAA/WvnzoWj+GWz0tAQhdIx35Jd/MxsUtIZIYRfLTHNJ5Z5jX0hhGc00zgAAAAAALBybd/uwanqmlPJJBlUmG+5DKqcpISZbTSzW6ouN5emuVhSRj6iX0bSRVXXpzvUdgAAAAAA0Mc2bZLS6doBqhB60yb0p3rr5icljUv6o9LtLZJeXfH4S0IIvzCzkyVdHUK4pOL689vWWgAAAAAAsGJs3rx4gCqanfVpKJy+tjUysON0HNHPzE7S/ABVFBa5DgAAAAAA1piTTqpdb6oyg+raaz2QtWFD99uH/tFIgGop9zazrZJ2SZKZnSvpmDbNGwAAAAAArEC5nPTe90onnjj//lSqHKCiux+k9gWoPiSpMhnvq6X/LGIAAAAAAKxh9773wvsqu/gllquOXWX/fmluzutbYfVocDFY1L0kjUjaLQ9KxesAAAAAAADzVGdQLVd/6tAhad8+v9x2mwepsLq0K0A1GUKYkDQhSZXXAQAAAAAAKqVS0u23S/m8Z1AtFaAqFqWpKemSS/yyYwcF1VejRrr4jZvZwdL16sDWBjPbLGmjJJnZporrG0MId7bcUgAAAAAAsCokkx54mp5ePkA1Oysde6z01rf67cFB6UMf6k47+0EIjXeDXInqDVDtl/S0JR7/eul/XKRuq7h9o6TBhlsGAAAAAABWpVRKGhjwANVyXfxmZqSTTy7ffuADpY98pPNt7AfFon824+O9bknnLRegepakW0MIM5L+dZFpzl9mHsWGWwUAAAAAAFatVMov6bR381tqFL+5Oeke9yjfzmQ6375+MTMj7dxJBpVCCB+M183sxjrmd1DSi0MIX112SgAAAAAAsCaF4JlB+bxnUC0VoMpmpRNOKN/OZNZODap83mturQWN1KDaIenpkn6zxDR/KekZkghQAQAAAACAmgoFzwoqFDxAtZzjjy9fX0sZVIWCtGlTr1vRHYsGqMxsTNI9qu4OpctiPizpWjN74LwnhfC1plsIAAAAAABWlTh6Xzrtt2dna08XgndzO/ro8n3xOWtBoSBt3drrVnTHUhlUuyV9oeJ2kPQvTbxGkFRHPBQAAAAAAKwFMUA1MODXZ2YWn9ZsflAqm126S+Bqs3Fjr1vQHUuV2fqypIHSZVA+It8ZFffVe2EEPwAAAAAAcMTcnAeoLrjAu+wtFnAKYWEXwHR67QSo0mlp8+Zet6I7Fs2gCiEESUdimOYVyH5X0t5l5nlHCOGd7WgcAAAAAABYfWZmPED1V38lXXaZ9Na31p4uBB/tr9JSAa3VplCQ7n3vXreiOxopkv5BSVlJ25aZbo0sJgAAAAAAoBkzM54ZlUxKuZwHqxZTK4OqWOxs+/pBCN79ccOGXrekO+oOUIUQntXJhgAAAAAAgLVheroclEqlvM5ULbUyqAYGPLNotYvvfang3WrS0bdpZgOdnD8AAAAAAFiZBksVq5PJxgJUMeNqtWdRheDdGdeKugJUZnaMmb3KzLZX3f8BM3vVIs95iqSvm9kaKecFAAAAAADqkUhIw8N+vdEMKjN/7moNUIUgHTwoTU0RoKrlJEl/LumYGvfvqJ7YzE6Q9A5Jc5LubKF91fP9fTO73sxeWnHfBjP7gpldbWavXeR5zzGzn5jZt8zsuHa1BwAAAAAANO6FL5R+7/f8+sCAB5sOH55/OXRIuuOO2sGrkZHV280vn5duu80vuVyvW9M9jRRJXySeWTWR2X0kfVLSYUlPDCG0M6b5eUmnVd33Vkkfk/QeSd8wsy+FEL5Z0Z6dkl4l6UxJF0h6t6QL29gmAAAAAADQgOc+t3z9kY+UTj+99nQXXSTt27fw/rExae/ezrRtdla69lrplFM6M//lhOAZYmZSNtubNvRCIwGqJUfnM7Ntkt4o6VmS/k/S40IIN7fQtoUNCOGnZnZL1d0XSnplCKFgZpeXbn+z4vEHS7oihDBpZldIer+ZpUMIc+1sGwAAAAAAaFwyKR17bO3HjjpKuvHGhfePj3cug2pqqreZS8WiB6gKBTKoJElmdl9JcTDDe5X+38/MxiRNyzOkBiWdZWafkQeCbpf0Mkn/0ObMqaWsCyHsL12/RdLJVY9vk3SrJIUQimZ2l6RNpWkBAAAAAECfymZrd/Fbv75zNajy+d4HqE44wbs+zs72rh3dtlQG1VslPajqvr+quB4zqqx0/RuSnhBCuK2ZhpjZayQ9cpGHrwghvGWRxyq/LpM0U+Px1DLTyMyeJ+l5krRz5856mgwAAAAAADposQDVpk2dy6BKJKR02rvaLVa8vZNCkIaGpLPOkn7wg+6/fq8sFaB6ujxDSpLOlfRPkp4q776XKz32HkmTkvbIg1nXm9lfS3pzCKGhOF8pALVYEGop+8xsfQhhr6SjVMqWqnCrpPtKkpklJK2TtKCnagjhMkmXSdLu3buX7M4IAAAAAAA6L5OpHSTauLFzAaoYnCoWvftht8UufmecId2yhvp+LTqKXwjhN5Kykn5TukjSr0MIPw8h/DCE8C1JhyR9O4RwkaSjJf2NpJdL+p6Zbels04/4tKRLzSwp6QmSPm1mqdLIfhvkhdUfbmZDki6S9I0QAgEoAAAAAAD63GIZVOPjUqqRqtoNKBQ8i6pTXQiXEwNUF14ovf71vWlDLywaoCr5hqSDkj5Qun1uKdCzQAhhXwjh1fJspVFJXzezre1qqJltN7OrJL1A0ivN7Iulh94k6TGSfiTp4yGEH0pKSzpV0lAIYY+8u+J3JL1GXiMLAAAAAAD0uXTag0XVRkY6k91UKHhAbNMmz6LqhWLR318qJW3YsPz0q8Vy8caHSDqzdLm3pD+X9Cdm9q4Qwp/UekII4Sdmdr6kb0v6oKSHtaOhIYRbSu2ovn+vfOS+yvum5N394u33SXpfO9oBAAAAAAC6I5WqHaAaHa19f6tmZ6VduzxIdOhQ++dfjxDW1uh90ZIBqhDCd+SZR5IkM9sp6YWS7ird9X+SflnjqTfLa1h92szODiF8uz3NBQAAAAAAa0UqVTtTamSkMwXMZ2elk06Sbr9duvnm9s+/Xp3qvtjPlnzLZvblRR56iiSFEF5sZr8ws0+GEG4oPecz8lpVLzCz3aUudwAAAAAAAA255z2lq69eeP/oaGe64OXz0t3vLt3jHtL3v9/++dcjhM5kh/W75d7yeZL2S/p16XKjfLS+ymSzu8lrPkVfkfRwSSI4BQAAAAAAmvXsZ0tfrpE6MzramVH8slnpuOOk44/3+le9shYDVPUkjf1hCOEXkmRmKXnXvY+Y2VTFNP9iZpOl6xs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      "text/plain": [
       "<Figure size 1440x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = 7\n",
    "result = performance(bias_cal(price, n), n)\n",
    "fig, ax = plt.subplots(2, 1, figsize=(20, 12), sharex=True)\n",
    "\n",
    "ax[0].plot(result['年月日'], result['總權益'])\n",
    "\n",
    "ax[1].plot(result['年月日'], result['總權益'].to_drawdown_series().to_list(), color='c')\n",
    "\n",
    "dd = (result['總權益'].to_drawdown_series()*100).to_list()\n",
    "\n",
    "ax[1].fill_between(result['年月日'], np.zeros(len(result['總權益'])), dd, label='大盤 DD', color='blue', linewidth=1, alpha=0.8)\n",
    "\n",
    "ax[0].set_title(f'參數{n}－總權益 & 回撤曲線圖', fontsize=20)\n",
    "ax[1].set_xlabel('時間', fontsize=20)\n",
    "\n",
    "ax[0].set_ylabel('累積金額', fontsize=20)\n",
    "ax[1].set_ylabel('下跌幅度(%)', fontsize=20)\n",
    "\n",
    "\n",
    "plt.subplots_adjust(hspace=.0)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.12 ('base')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "3e06028060a7864164bfee2227bae8dfd39c60041c455d9e6b5a8dd3aec9b09f"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}