{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# mltools机器学习工具包应用示例\n",
    "[mltools](https://danielsywang.github.io/mltools/)是从项目实战中提炼出来的一套机器学习工具包，其主要目标是加快数据探索、数据抽取、清洗转换、模型训练，让机器学习工程师专注数据分析和模型选择与评估。依赖的包主要有：numpy、pandas、sklearn、seaborn，统计部分有一点scipy.stats、 statsmodels.stats内容。\n",
    "   \n",
    "示例部分内容为演示如果正确使用[mltools](https://danielsywang.github.io/mltools/)机器学习工具包。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 加载库和数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data manipulation\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from mltools import explore,feature,plot,mlcluster\n",
    "from sklearn.datasets import make_blobs\n",
    "\n",
    "# More Data Preprocessing & Machine Learning\n",
    "from sklearn.experimental import enable_iterative_imputer \n",
    "from sklearn.impute import SimpleImputer,KNNImputer,IterativeImputer\n",
    "from sklearn import cluster\n",
    "#from sklearn.pipeline import Pipeline\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.preprocessing import MinMaxScaler,StandardScaler,RobustScaler\n",
    "from sklearn.preprocessing import PowerTransformer,QuantileTransformer \n",
    "from sklearn.mixture import GaussianMixture"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据产生\n",
    "sklearn中的示例数据没有很好反映项目分析过程中的实际情况，因此自己产生数据尽量反映实际情况。选用make_blobs产生样本数n_samples=500,特征数n_features=5的数据集，并将其转换成DataFrame格式。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>col_0</th>\n",
       "      <th>col_1</th>\n",
       "      <th>col_2</th>\n",
       "      <th>col_3</th>\n",
       "      <th>col_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.141771</td>\n",
       "      <td>3.654010</td>\n",
       "      <td>-5.561710</td>\n",
       "      <td>6.749957</td>\n",
       "      <td>-10.852914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.153257</td>\n",
       "      <td>5.490891</td>\n",
       "      <td>-6.294500</td>\n",
       "      <td>8.674817</td>\n",
       "      <td>-9.285383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.533027</td>\n",
       "      <td>3.889833</td>\n",
       "      <td>-4.095322</td>\n",
       "      <td>6.606851</td>\n",
       "      <td>-9.233252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-8.643535</td>\n",
       "      <td>-5.900542</td>\n",
       "      <td>-1.883994</td>\n",
       "      <td>-2.157399</td>\n",
       "      <td>2.746535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-8.789110</td>\n",
       "      <td>-6.779138</td>\n",
       "      <td>-1.622573</td>\n",
       "      <td>-2.022040</td>\n",
       "      <td>0.066330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>-0.031133</td>\n",
       "      <td>3.026263</td>\n",
       "      <td>-9.972184</td>\n",
       "      <td>-2.564078</td>\n",
       "      <td>-6.760700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>-2.183581</td>\n",
       "      <td>2.950700</td>\n",
       "      <td>-9.002360</td>\n",
       "      <td>-4.301135</td>\n",
       "      <td>-8.456502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>-7.936597</td>\n",
       "      <td>-6.994555</td>\n",
       "      <td>-3.890593</td>\n",
       "      <td>-2.240007</td>\n",
       "      <td>2.246613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>-8.286480</td>\n",
       "      <td>-6.189705</td>\n",
       "      <td>-1.910791</td>\n",
       "      <td>-2.266651</td>\n",
       "      <td>-0.153064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>-8.544259</td>\n",
       "      <td>-6.542836</td>\n",
       "      <td>-2.444902</td>\n",
       "      <td>-1.410030</td>\n",
       "      <td>1.076530</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>500 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        col_0     col_1     col_2     col_3      col_4\n",
       "0   -0.141771  3.654010 -5.561710  6.749957 -10.852914\n",
       "1    0.153257  5.490891 -6.294500  8.674817  -9.285383\n",
       "2   -0.533027  3.889833 -4.095322  6.606851  -9.233252\n",
       "3   -8.643535 -5.900542 -1.883994 -2.157399   2.746535\n",
       "4   -8.789110 -6.779138 -1.622573 -2.022040   0.066330\n",
       "..        ...       ...       ...       ...        ...\n",
       "495 -0.031133  3.026263 -9.972184 -2.564078  -6.760700\n",
       "496 -2.183581  2.950700 -9.002360 -4.301135  -8.456502\n",
       "497 -7.936597 -6.994555 -3.890593 -2.240007   2.246613\n",
       "498 -8.286480 -6.189705 -1.910791 -2.266651  -0.153064\n",
       "499 -8.544259 -6.542836 -2.444902 -1.410030   1.076530\n",
       "\n",
       "[500 rows x 5 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X, y = make_blobs(n_samples=500,n_features=5,random_state=1)\n",
    "data=pd.DataFrame(X)\n",
    "data=data.add_prefix('col_')\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 加入Nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .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>col_0</th>\n",
       "      <th>col_1</th>\n",
       "      <th>col_2</th>\n",
       "      <th>col_3</th>\n",
       "      <th>col_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-1.286570</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-6.176012</td>\n",
       "      <td>8.124907</td>\n",
       "      <td>-10.120067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-7.883550</td>\n",
       "      <td>-5.089507</td>\n",
       "      <td>-2.704176</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.533754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-7.131833</td>\n",
       "      <td>-5.573617</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.741799</td>\n",
       "      <td>-0.128209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-1.381526</td>\n",
       "      <td>5.096522</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-1.937638</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-9.959491</td>\n",
       "      <td>-2.463272</td>\n",
       "      <td>-4.467091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>-7.750437</td>\n",
       "      <td>-5.205726</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.258757</td>\n",
       "      <td>-0.313626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-5.085142</td>\n",
       "      <td>-3.509735</td>\n",
       "      <td>-0.551581</td>\n",
       "      <td>-0.409423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>-6.963466</td>\n",
       "      <td>-6.963849</td>\n",
       "      <td>-3.420619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.137765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>-0.923590</td>\n",
       "      <td>3.055128</td>\n",
       "      <td>-8.873487</td>\n",
       "      <td>-4.539752</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>-8.934573</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.604700</td>\n",
       "      <td>-1.409286</td>\n",
       "      <td>2.194878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>0.833859</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-7.228685</td>\n",
       "      <td>7.163602</td>\n",
       "      <td>-7.794042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>-6.913303</td>\n",
       "      <td>-7.804767</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.670003</td>\n",
       "      <td>1.175212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>-7.618104</td>\n",
       "      <td>-5.807176</td>\n",
       "      <td>-1.887277</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.398539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>-0.408670</td>\n",
       "      <td>3.963432</td>\n",
       "      <td>-6.710602</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-10.945749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>-0.939700</td>\n",
       "      <td>5.784000</td>\n",
       "      <td>-9.912916</td>\n",
       "      <td>-4.464145</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>-0.203479</td>\n",
       "      <td>4.152881</td>\n",
       "      <td>-6.715668</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-8.827473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>-0.576282</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5.975531</td>\n",
       "      <td>7.387683</td>\n",
       "      <td>-10.071748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>-8.328621</td>\n",
       "      <td>-6.772762</td>\n",
       "      <td>-2.714645</td>\n",
       "      <td>-3.689514</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>-0.584305</td>\n",
       "      <td>4.802059</td>\n",
       "      <td>-10.227054</td>\n",
       "      <td>-4.497832</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>-1.949085</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5.111942</td>\n",
       "      <td>7.527439</td>\n",
       "      <td>-10.178813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>-1.731877</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5.210435</td>\n",
       "      <td>9.771156</td>\n",
       "      <td>-9.591718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>-0.347004</td>\n",
       "      <td>4.217912</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.964273</td>\n",
       "      <td>-10.266166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>NaN</td>\n",
       "      <td>5.831704</td>\n",
       "      <td>-6.950209</td>\n",
       "      <td>6.876678</td>\n",
       "      <td>-10.238876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>-9.234538</td>\n",
       "      <td>-7.610726</td>\n",
       "      <td>-3.759727</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.507948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>-0.903702</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-6.410009</td>\n",
       "      <td>8.215268</td>\n",
       "      <td>-11.519422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>-9.188071</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.444390</td>\n",
       "      <td>-2.188615</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>-2.857065</td>\n",
       "      <td>1.680626</td>\n",
       "      <td>-8.593365</td>\n",
       "      <td>-4.073770</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>-9.074263</td>\n",
       "      <td>-6.421705</td>\n",
       "      <td>-2.793038</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.936332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>NaN</td>\n",
       "      <td>-7.659325</td>\n",
       "      <td>-1.195496</td>\n",
       "      <td>-1.668099</td>\n",
       "      <td>1.495399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>-8.888966</td>\n",
       "      <td>-6.142600</td>\n",
       "      <td>-4.033103</td>\n",
       "      <td>-1.893275</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>-7.193460</td>\n",
       "      <td>-7.067357</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.906014</td>\n",
       "      <td>2.840359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>NaN</td>\n",
       "      <td>5.371377</td>\n",
       "      <td>-10.739167</td>\n",
       "      <td>-2.634757</td>\n",
       "      <td>-7.374552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>-6.876723</td>\n",
       "      <td>-7.914889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.589900</td>\n",
       "      <td>2.075189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>-3.176953</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5.125969</td>\n",
       "      <td>8.706169</td>\n",
       "      <td>-10.143616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>NaN</td>\n",
       "      <td>4.141529</td>\n",
       "      <td>-8.890430</td>\n",
       "      <td>-5.302085</td>\n",
       "      <td>-6.473979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>-8.301266</td>\n",
       "      <td>-7.224314</td>\n",
       "      <td>-4.448187</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.395000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>-8.128794</td>\n",
       "      <td>-8.077865</td>\n",
       "      <td>-3.902213</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.371146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>-9.424622</td>\n",
       "      <td>-7.716436</td>\n",
       "      <td>-3.994138</td>\n",
       "      <td>-3.361358</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>-0.614359</td>\n",
       "      <td>5.416865</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.235759</td>\n",
       "      <td>-7.315587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>-8.976534</td>\n",
       "      <td>-6.099075</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.172709</td>\n",
       "      <td>1.261013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>-0.192786</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-8.981948</td>\n",
       "      <td>-3.237669</td>\n",
       "      <td>-5.332705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>-0.885676</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-9.750204</td>\n",
       "      <td>-5.669639</td>\n",
       "      <td>-6.477809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>-1.351757</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-8.470801</td>\n",
       "      <td>-4.297299</td>\n",
       "      <td>-8.402905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>-7.586178</td>\n",
       "      <td>-5.888475</td>\n",
       "      <td>-1.585598</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.088758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>-7.704753</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.396437</td>\n",
       "      <td>-1.353495</td>\n",
       "      <td>2.916061</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        col_0     col_1      col_2     col_3      col_4\n",
       "7   -1.286570       NaN  -6.176012  8.124907 -10.120067\n",
       "16  -7.883550 -5.089507  -2.704176       NaN   1.533754\n",
       "21  -7.131833 -5.573617        NaN -1.741799  -0.128209\n",
       "27  -1.381526  5.096522        NaN       NaN        NaN\n",
       "29  -1.937638       NaN  -9.959491 -2.463272  -4.467091\n",
       "46  -7.750437 -5.205726        NaN -3.258757  -0.313626\n",
       "56        NaN -5.085142  -3.509735 -0.551581  -0.409423\n",
       "73  -6.963466 -6.963849  -3.420619       NaN   0.137765\n",
       "89  -0.923590  3.055128  -8.873487 -4.539752        NaN\n",
       "90  -8.934573       NaN  -3.604700 -1.409286   2.194878\n",
       "95   0.833859       NaN  -7.228685  7.163602  -7.794042\n",
       "117 -6.913303 -7.804767        NaN -2.670003   1.175212\n",
       "127 -7.618104 -5.807176  -1.887277       NaN  -0.398539\n",
       "132 -0.408670  3.963432  -6.710602       NaN -10.945749\n",
       "138 -0.939700  5.784000  -9.912916 -4.464145        NaN\n",
       "139 -0.203479  4.152881  -6.715668       NaN  -8.827473\n",
       "140 -0.576282       NaN  -5.975531  7.387683 -10.071748\n",
       "160 -8.328621 -6.772762  -2.714645 -3.689514        NaN\n",
       "164 -0.584305  4.802059 -10.227054 -4.497832        NaN\n",
       "166 -1.949085       NaN  -5.111942  7.527439 -10.178813\n",
       "175 -1.731877       NaN  -5.210435  9.771156  -9.591718\n",
       "188 -0.347004  4.217912        NaN  8.964273 -10.266166\n",
       "192       NaN  5.831704  -6.950209  6.876678 -10.238876\n",
       "219 -9.234538 -7.610726  -3.759727       NaN   1.507948\n",
       "221 -0.903702       NaN  -6.410009  8.215268 -11.519422\n",
       "226 -9.188071       NaN  -3.444390 -2.188615        NaN\n",
       "242 -2.857065  1.680626  -8.593365 -4.073770        NaN\n",
       "251 -9.074263 -6.421705  -2.793038       NaN  -0.936332\n",
       "265       NaN -7.659325  -1.195496 -1.668099   1.495399\n",
       "293 -8.888966 -6.142600  -4.033103 -1.893275        NaN\n",
       "316 -7.193460 -7.067357        NaN -2.906014   2.840359\n",
       "346       NaN  5.371377 -10.739167 -2.634757  -7.374552\n",
       "364 -6.876723 -7.914889        NaN -1.589900   2.075189\n",
       "373 -3.176953       NaN  -5.125969  8.706169 -10.143616\n",
       "379       NaN  4.141529  -8.890430 -5.302085  -6.473979\n",
       "381 -8.301266 -7.224314  -4.448187       NaN   1.395000\n",
       "391 -8.128794 -8.077865  -3.902213       NaN   1.371146\n",
       "395 -9.424622 -7.716436  -3.994138 -3.361358        NaN\n",
       "397 -0.614359  5.416865        NaN -3.235759  -7.315587\n",
       "399 -8.976534 -6.099075        NaN -2.172709   1.261013\n",
       "402 -0.192786       NaN  -8.981948 -3.237669  -5.332705\n",
       "421 -0.885676       NaN  -9.750204 -5.669639  -6.477809\n",
       "443 -1.351757       NaN  -8.470801 -4.297299  -8.402905\n",
       "449 -7.586178 -5.888475  -1.585598       NaN   1.088758\n",
       "489 -7.704753       NaN  -3.396437 -1.353495   2.916061"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#加入Nan\n",
    "np.random.seed(100)\n",
    "choice_list=[False,True]\n",
    "p=[0.98,0.02]\n",
    "mask = np.random.choice(choice_list, size=data.shape,p=p,replace=True)\n",
    "data=data.mask(mask)\n",
    "data[data.isnull().any(axis=1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 加入重复数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>col_0</th>\n",
       "      <th>col_1</th>\n",
       "      <th>col_2</th>\n",
       "      <th>col_3</th>\n",
       "      <th>col_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.141771</td>\n",
       "      <td>3.654010</td>\n",
       "      <td>-5.561710</td>\n",
       "      <td>6.749957</td>\n",
       "      <td>-10.852914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.153257</td>\n",
       "      <td>5.490891</td>\n",
       "      <td>-6.294500</td>\n",
       "      <td>8.674817</td>\n",
       "      <td>-9.285383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.533027</td>\n",
       "      <td>3.889833</td>\n",
       "      <td>-4.095322</td>\n",
       "      <td>6.606851</td>\n",
       "      <td>-9.233252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-8.643535</td>\n",
       "      <td>-5.900542</td>\n",
       "      <td>-1.883994</td>\n",
       "      <td>-2.157399</td>\n",
       "      <td>2.746535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-8.789110</td>\n",
       "      <td>-6.779138</td>\n",
       "      <td>-1.622573</td>\n",
       "      <td>-2.022040</td>\n",
       "      <td>0.066330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>-2.003885</td>\n",
       "      <td>5.311449</td>\n",
       "      <td>-9.693497</td>\n",
       "      <td>-2.498029</td>\n",
       "      <td>-7.332512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>-7.193460</td>\n",
       "      <td>-7.067357</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-2.906014</td>\n",
       "      <td>2.840359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>-7.704753</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.396437</td>\n",
       "      <td>-1.353495</td>\n",
       "      <td>2.916061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>528</th>\n",
       "      <td>-8.731049</td>\n",
       "      <td>-6.014554</td>\n",
       "      <td>-3.033054</td>\n",
       "      <td>-2.248544</td>\n",
       "      <td>-0.737050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>529</th>\n",
       "      <td>-1.722663</td>\n",
       "      <td>4.089757</td>\n",
       "      <td>-11.366473</td>\n",
       "      <td>-5.031462</td>\n",
       "      <td>-7.357258</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>530 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        col_0     col_1      col_2     col_3      col_4\n",
       "0   -0.141771  3.654010  -5.561710  6.749957 -10.852914\n",
       "1    0.153257  5.490891  -6.294500  8.674817  -9.285383\n",
       "2   -0.533027  3.889833  -4.095322  6.606851  -9.233252\n",
       "3   -8.643535 -5.900542  -1.883994 -2.157399   2.746535\n",
       "4   -8.789110 -6.779138  -1.622573 -2.022040   0.066330\n",
       "..        ...       ...        ...       ...        ...\n",
       "525 -2.003885  5.311449  -9.693497 -2.498029  -7.332512\n",
       "526 -7.193460 -7.067357        NaN -2.906014   2.840359\n",
       "527 -7.704753       NaN  -3.396437 -1.353495   2.916061\n",
       "528 -8.731049 -6.014554  -3.033054 -2.248544  -0.737050\n",
       "529 -1.722663  4.089757 -11.366473 -5.031462  -7.357258\n",
       "\n",
       "[530 rows x 5 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "''' Repeat without index  '''\n",
    "ds=data.sample(n=10,random_state=0)\n",
    "data = pd.concat([data]+[ds]*3, ignore_index=True)\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据整理（探索）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 530 entries, 0 to 529\n",
      "Data columns (total 5 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   col_0   525 non-null    float64\n",
      " 1   col_1   510 non-null    float64\n",
      " 2   col_2   518 non-null    float64\n",
      " 3   col_3   519 non-null    float64\n",
      " 4   col_4   521 non-null    float64\n",
      "dtypes: float64(5)\n",
      "memory usage: 20.8 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 空缺值分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_missing</th>\n",
       "      <th>missing_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>col_1</th>\n",
       "      <td>20</td>\n",
       "      <td>3.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_2</th>\n",
       "      <td>12</td>\n",
       "      <td>2.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_3</th>\n",
       "      <td>11</td>\n",
       "      <td>2.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_4</th>\n",
       "      <td>9</td>\n",
       "      <td>1.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_0</th>\n",
       "      <td>5</td>\n",
       "      <td>0.94</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       total_missing  missing_percent\n",
       "col_1             20             3.77\n",
       "col_2             12             2.26\n",
       "col_3             11             2.08\n",
       "col_4              9             1.70\n",
       "col_0              5             0.94"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "explore.null_count(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "54"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data[data.isnull().any(axis=1)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "本数据集共有530个样本，含有空值的样本为54个，占比为10.2%，可以考虑补充空缺数据。实际分析中是删除或补充或两种方法都用，要根据项目的具体情况决定。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 重复值分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    500\n",
       "True      30\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.duplicated().value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "本数据集共有530个样本，重复数据30条。实际分析中是删除或保留，要根据项目的具体情况决定。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 唯一值分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nunique</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [nunique]\n",
       "Index: []"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "explore.unique_count(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "唯一值是某一列中只有一个值。当前数据集没有唯一值出现。实际分析中出现唯一值的列需要删除，因为这个属性对模型选择没有任何帮助。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 负值分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>negative_count</th>\n",
       "      <th>negative_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>col_2</th>\n",
       "      <td>518</td>\n",
       "      <td>97.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_0</th>\n",
       "      <td>506</td>\n",
       "      <td>95.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_4</th>\n",
       "      <td>387</td>\n",
       "      <td>73.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_3</th>\n",
       "      <td>352</td>\n",
       "      <td>66.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_1</th>\n",
       "      <td>176</td>\n",
       "      <td>33.21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       negative_count  negative_percent\n",
       "col_2             518             97.74\n",
       "col_0             506             95.47\n",
       "col_4             387             73.02\n",
       "col_3             352             66.42\n",
       "col_1             176             33.21"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "explore.negative_count(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "当前数据集有负值，此处只是演示negative_count的用法。实际项目中某些列是不能出现负值的，负值意味着异常需要删除。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 异常数据分析"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "异常值分析有两种方法：IQR和均值标准差方法，阈值可以任意设定。对IQR方法，通常设定method='IQR', threshold=1.5；极端异常值分析threshold=3。均值标准差方法通常设定method='mean_std', threshold=3。 outlier_df表示各列异常值情况。异常值的处理在特征清洗与转换进行。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#IQR探索\n",
    "outlier_count,outlier_df=explore.outlier_detect(data,method='IQR',threshold=1.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lower_fence</th>\n",
       "      <th>upper_fence</th>\n",
       "      <th>lower_outlier</th>\n",
       "      <th>upper_outlier</th>\n",
       "      <th>total_outlier</th>\n",
       "      <th>total_percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>col_0</th>\n",
       "      <td>-16.91</td>\n",
       "      <td>7.86</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_1</th>\n",
       "      <td>-20.60</td>\n",
       "      <td>19.24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_2</th>\n",
       "      <td>-17.83</td>\n",
       "      <td>5.08</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_3</th>\n",
       "      <td>-18.69</td>\n",
       "      <td>22.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_4</th>\n",
       "      <td>-22.27</td>\n",
       "      <td>13.49</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       lower_fence  upper_fence  lower_outlier  upper_outlier  total_outlier  \\\n",
       "col_0       -16.91         7.86              0              0              0   \n",
       "col_1       -20.60        19.24              0              0              0   \n",
       "col_2       -17.83         5.08              0              0              0   \n",
       "col_3       -18.69        22.18              0              0              0   \n",
       "col_4       -22.27        13.49              0              0              0   \n",
       "\n",
       "       total_percent  \n",
       "col_0            0.0  \n",
       "col_1            0.0  \n",
       "col_2            0.0  \n",
       "col_3            0.0  \n",
       "col_4            0.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outlier_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>col_0</th>\n",
       "      <th>col_1</th>\n",
       "      <th>col_2</th>\n",
       "      <th>col_3</th>\n",
       "      <th>col_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [col_0, col_1, col_2, col_3, col_4]\n",
       "Index: []"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outlier_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x288 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot.hist_plot(data=data,ncol=5,figsize_x=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据清洗及特征选择"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "数据清洗比较简单，此处不讲。特征选择是本节的主要内容。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这一部分的特征选择主要是解决特征之间的多重共线性问题，解决方法是VIF和Corr方法。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## VIF特征选择"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "VIF方法不能包含NaN值，因此需要处理。此处只是简单的删除，实际项目如何处理要根据具体情况再做决定。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_notnull=data[~data.isnull().any(axis=1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VIF</th>\n",
       "      <th>Column</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4.841115</td>\n",
       "      <td>col_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.261113</td>\n",
       "      <td>col_0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12.944953</td>\n",
       "      <td>col_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>24.882742</td>\n",
       "      <td>col_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>26.979943</td>\n",
       "      <td>col_4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         VIF Column\n",
       "0   4.841115  col_3\n",
       "1  10.261113  col_0\n",
       "2  12.944953  col_1\n",
       "3  24.882742  col_2\n",
       "4  26.979943  col_4"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VIF=feature.get_VIF(df_notnull)\n",
    "VIF"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "说明col_2、col_4列出现了高度相关，删除高度相关的列。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>VIF</th>\n",
       "      <th>Column</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.095365</td>\n",
       "      <td>col_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.308480</td>\n",
       "      <td>col_0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.410221</td>\n",
       "      <td>col_1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        VIF Column\n",
       "0  1.095365  col_3\n",
       "1  1.308480  col_0\n",
       "2  1.410221  col_1"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature.get_VIF(df_notnull.drop(['col_2','col_4'],axis=1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从上面VIF结果知道，col_0、col_1、col_3的VIF都小于5，选以上3列作为特征是合适的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "实际项目中特征数量众多，需要综合考虑VIF、corr分析结果，与业务专家讨论确认特征！"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 特征转换与可视化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "将特征转换作为聚类参数，详细内容在模型选择与评估部分讨论"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征转换及其正态检验"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>orginal</th>\n",
       "      <th>cbrt</th>\n",
       "      <th>reciprocal</th>\n",
       "      <th>square</th>\n",
       "      <th>cube</th>\n",
       "      <th>minmax</th>\n",
       "      <th>zscore</th>\n",
       "      <th>robust</th>\n",
       "      <th>quant</th>\n",
       "      <th>yeo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>col_0</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>Normal</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_1</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>Normal</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>col_3</th>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>Normal</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      orginal cbrt reciprocal square cube minmax zscore robust   quant yeo\n",
       "col_0       -    -          -      -    -      -      -      -  Normal   -\n",
       "col_1       -    -          -      -    -      -      -      -  Normal   -\n",
       "col_3       -    -          -      -    -      -      -      -  Normal   -"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=data.drop(labels=['col_2','col_4'],axis=1)\n",
    "trans_method_list = ['cbrt', 'reciprocal', 'square', 'cube', 'minmax', 'zscore', 'robust', 'quant', 'yeo']\n",
    "feature.transformer(data,trans_method_list=trans_method_list,test_method='ks')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征转换可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Eg8cB3wM2Z+YfRsS5wC8D3ywnfXNmfmxUgUqSJEnDEBGXUtzI+aiI2Am8heL+W7W/HFNaKzLzk3S+1LLrb0570Eqd9XKp1yLFndJviIjDgOsj4qpy3Dsy8+2jC0+SJEkarsw8s8soL8eUJDXOig0/5fWTrScc3B8R2/FJBpIkSZIkSbXX1z1+ImIaeCZwXTnotRFxU0RcFBFHDDs4SZIkSZIkDa7np3pFxKEUj9J7Q2beFxHvAs6jeJzlecD5wCs7zNfzYy2HoerHE1Zdfh1i6KX8uZnFkcVYdf0lSZIkSaqLnhp+IuIgikafLZn5EYDMvKtt/LuBKzvN289jLYeh6scTVl1+HWLopfwN81tH9vjSqusvSZIkSVJdrHipV0QE8F5ge2Ze0DZ8XdtkLwFuHn54kiRJkiRJGlQvPX5OAs4GtkXEjeWwNwNnRsQJFJd67QBePYL4JEmSJEmSNKBenur1SSA6jPrY8MORJEmSJEnSsPT1VC9JkiRJkiRNDht+pAaIiEdGxGci4vMRcUtEvLUcfmREXBURt5Z/j6g6VkmSJEnS+NjwIzXDd4HnZeYzgBOAUyLi2cA8cHVmHgdcXX6WJEmSJK0RNvxIDZCFveXHg8pXAqcDl5TDLwHOGH90kiRJkqSq9PJUL0kTICIOAK4HfgD448y8LiKmMnMXQGbuioiju8y7EdgIMDU1xcLCwtDimjqYoS6vCnv37p3oOkx6/NCMOkiSJElVsOFHaojMfAA4ISIeA3w0Ip7ex7ybgc0A69evz9nZ2aHFdeGWy3nZEJdXhYWFBYa5TsZt0uOHZtRBkiRJqoKXekkNk5nfBhaAU4C7ImIdQPl3d3WRSZIkSZLGzYYfqQEi4rFlTx8i4mDg+cAXgSuAc8rJzgEuryRASZIkSVIlvNRLaoZ1wCXlfX4eBlyWmVdGxKeAyyLiVcDXgZdWGaQkSZIkabxs+JEaIDNvAp7ZYfjdwMnjj0iSJEmSVAde6iVpTZme31p1CJIkSZI0Njb8SJIkSZIkNZQNP5IkSZIkSQ1lw48kSZIkSVJD2fAjSZIkSZLUUDb8SJIkSZIkNZQNPxobn6YkSZIkSdJ42fAjSdKQRcQBEfFPEXFl+fnIiLgqIm4t/x7RNu2bIuK2iPhSRLywuqglSZLURDb8SJI0fK8Htrd9ngeuzszjgKvLz0TE8cDLgacBpwB/EhEHjDlWSZIkNZgNP5IkDVFEPAE4DXhP2+DTgUvK95cAZ7QN/2BmfjczvwrcBpw4plAlSaqtiDg2Iq6JiO0RcUtEvL4cbi9aqU82/EiSNFx/APwG8L22YVOZuQug/Ht0OfwY4Pa26XaWwyRVJCJ+rfyReXNEXBoRj1zuh6akkVkE5jLzqcCzgdeUPWXtRSv16cCqA5AkqSki4sXA7sy8PiJme5mlw7DssuyNwEaAqakpFhYWBoxyeXMzi+zdu3dkyx8n61Evk1CPiDgG+P+A4zPzXyLiMoofksdT/NDcFBHzFD8031hhqFLjlSdKWidN7o+I7RQnR04HZsvJLgEWKPLxwV60wFcjotWL9lPjjVyqHxt+JEkanpOAn4mIU4FHAo+OiPcDd0XEuszcFRHrgN3l9DuBY9vmfwJwZ6cFZ+ZmYDPA+vXrc3Z2diQV2DC/lYtPOYRRLX+cFhYWrEeNTFA9DgQOjoh/Bx5FkZNvovMPTUljEBHTwDOB61jSizYi2nvRfrptNnvRSiUbfiRJGpLMfBPFD0TKHj//NTN/ISJ+HzgH2FT+vbyc5QrgAxFxAfB44DjgM2MOW1IpM++IiLcDXwf+BfhEZn4iIrr90JQ0YhFxKPBh4A2ZeV9Ep86yxaQdhu3Xi7ZbD9pJ6JW4GtZvcs3NLDJ1MKuqnw0/kiSN3ibgsoh4FcUPypcCZOYt5aUkX6C4l8FrMvOB6sKU1rby3j2nA08Cvg38RUT8Qh/z93xJ5tTBxcF8VT9Uqv6RtJbLX8t171dEHETR6LMlMz9SDl5VL9puPWgnqFfiQKzf5Nowv5W5mUVetor62fAjSdIIZOYCxeUgZObdwMldpnsb8LaxBSZpOc8HvpqZ3wSIiI8AP0H3H5r76OeSzAu3XM752w5kx1ndpxmlqn8kreXy13Ld+xFF1573Atsz84K2UVdgL1qpLys+1WuQx+hJWrum57cyPb+16jAkSRrE14FnR8Sjyh+dJwPbeeiHJuz7Q1PS6JwEnA08LyJuLF+nUjT4vCAibgVeUH4mM28BWr1oP469aKUH9dLjp/UYvRsi4jDg+oi4CtiATzeQJElSQ2TmdRHxl8ANFMfA/0TRg+dQOlyuKWl0MvOTdL5vD9iLVurLij1+MnNXZt5Qvr+f4qxH6zF6l5STXQKcMaIYJa1gmZ5550bEHUvOkkiSpC4y8y2Z+UOZ+fTMPDszv5uZd2fmyZl5XPn3nqrjlCSpV33d46fHx+gtnafnm9wNQ9U3K6u6/DrE0K389hsYjvJmhlXXvyLdeuYBvCMz315hbJIkSZKkivTc8NPHY/T20c9N7oah6puVVV1+HWLoVv6G+a0P3sCw/f24ym+yshG21RB7f0S0euZJkiRJktawFS/1guUfo1eO7/p0A0njtaRnHsBrI+KmiLjIm7BLkiRJ0tqyYo+fAR6jJ6kiHXrmvQs4D8jy7/nAKzvMN7RLMudmFgEeXMbUwdTq0rtBLjOc9MsHJz1+aEYdJEmSpCr0cqlX6zF62yLixnLYmykafHy6gVQTnXrmZeZdbePfDVzZad5hXpK5oXyUe+tSvgu3XM7LanTp3SCXGU765YOTHj80ow6SJElSFVZs+BnkMXqSxqtbz7yIWNe6CTvwEuDmKuKTJEmSJFWjr6d6Saqtbj3zzoyIEygu9doBvLqK4CRJkiRJ1bDhR2qAZXrmfWzcsUiSJEmS6qOnp3pJ0mpMz29lurz3jyRJkiRpfGz4kSRJkiRJaigbfiRJkiRJkhrKhh9JkiRJkqSGsuFHkiRJkiSpoWz4kTQ07TdwrsMNnasuX5IkSZKqZsOPJEmSJElSQ9nwI0mSJEmS1FA2/EiSJEmSJDWUDT+SJEmSJEkNZcOPJEmSJElSQx1YdQCSNG7tT/vasem0CiORJEmSpNGyx48kSZIkSVJD2eNHQzU9v5W5mUVme5y2XaeeF9PzW+2RIUmSJEnSgOzxI0mSJEmS1FA2/EiSJEmSJDWUDT+SJEmSJEkNZcOPJElDFBGPjIjPRMTnI+KWiHhrOfzIiLgqIm4t/x7RNs+bIuK2iPhSRLywuuglSZLUNDb8SA0QEcdGxDURsb38ofn6cnjXH5qSRua7wPMy8xnACcApEfFsYB64OjOPA64uPxMRxwMvB54GnAL8SUQcUEXgkiTVRURcFBG7I+LmtmHnRsQdEXFj+Tq1bZwnUaQubPiRmmERmMvMpwLPBl5T/pjs+ENT0uhkYW/58aDylcDpwCXl8EuAM8r3pwMfzMzvZuZXgduAE8cXsaR2EfGYiPjLiPhieULlxz2RIlXiYooTIku9IzNPKF8fA0+iSCux4UdjNT2/db/HuLeP02Ayc1dm3lC+vx/YDhxD9x+akkYoIg6IiBuB3cBVmXkdMJWZu6DIWeDocvJjgNvbZt9ZDpNUjT8EPp6ZPwQ8g2Kf6okUacwy81rgnh4n9ySKtIwDqw5A0nBFxDTwTGC/H5oRcfRy80oajsx8ADghIh4DfDQinr7M5NFpEftNFLER2AgwNTXFwsLCECLd39zMInv37h3Z8sfJetTLJNQjIh4N/EdgA0Bm/hvwbxFxOjBbTnYJsAC8cfwRSgJeGxGvAD5H0eP9XooTJp9um8aTKFIbG36kBomIQ4EPA2/IzPsiOv2e7DjfUH5Qzs0s7jds6uCHho/7gH9uZnG/MpfG2EtMk/BjZTmTHj9Mbh0y89sRsUDR7fyuiFhXNsKuo+gNBMXB6bFtsz0BuLPDsjYDmwHWr1+fs7OzI4l5w/xWLj7lEEa1/HFaWFiwHjUyIfV4MvBN4H9HxDOA64HX44kUqS7eBZxHcYLkPOB84JX0eBIFuh/3TuqxRq+s3+Sam1lk6uDV/ZZaseEnIi4CXgzszsynl8POBX6ZYscI8ObW9ZWSqhERB1E0+mzJzI+Ug7v90NzHsH5Qbuhwud7czCLnbyv+1ew4a7DlDmrD/Nb9ylwaYy8xTciPla4mPX6YrDpExGOBfy8bfQ4Gng/8LnAFcA6wqfx7eTnLFcAHIuIC4PHAccBnxh64JCiOjX8EeF1mXhcRf0gfl3X1cyKldWKkqh8qVf9IWsvlr+W6r1Zm3tV6HxHvBq4sP/Z0EqVcRsfj3kk61hiE9ZtcG+a3MjezyMtWUb9eevxcDLwTeN+S4e/IzLcPXLKkoYmia897ge2ZeUHbqG4/NCWNzjrgkvKmkg8DLsvMKyPiU8BlEfEq4OvASwEy85aIuAz4AsWN2l9TXiomafx2AjvL+3IB/CVFw8/QT6RcuOVyzt924NhPirRU/SNpLZe/luu+Wq08LD++BGg98cuTKNIyVmz4ycxry3uGSKqvk4CzgW3lDWUB3kzR4LPfD01Jo5OZN1HcZ2vp8LuBk7vM8zbgbSMOTdIKMvMbEXF7RDwlM79EkbNfKF+eSJHGKCIupbi31lERsRN4CzAbESdQXMa1A3g1eBJFWslq7vHT6aZakiqQmZ+k87XN0OWHpiRJ6uh1wJaIeDjwFeAXKXvveSJFGp/MPLPD4PcuM70nUaQuBm346XZTrf2M6ykkLYNcs7rtjj3MHHN4ZeUPW5UxLHfjqU43/l2q0414+61LHb4DTY7ppff82XRaRZFIkuogM28E1ncY5YkUSdJEGqjhZ5mbanWadixPIWkZ5JrVTjeAHWf5w1ZlDMvdeKrTjX+X6nQj3n6/mzp8B5IkSZIk1cHDBpmpvKldS/tNtSRJkiRJklQTKzb8lDfV+hTwlIjYWV7b/HsRsS0ibgKeC/zaiOOUJEmSGmfpJceSJA1bL0/16uumWpIkSZIkSaqHgS71kiRJkjQc0/Nb7fkjSRoZG34kjY0HtZIkSZI0XoM+zl3qmT/2JUmSJEmqhj1+JEmSJEmSGsqGH0mSJEmSpIay4UeSJEmSJKmhvMePpMbxvlKSJEmSVLDHjyRJkiRJUkPZ8CNJkiRJktRQNvxIkiRJkiQ1lA0/kiRJkiRJDWXDjyRJkiRJUkPZ8COp0abnt/qUL0mSJElrlg0/UgNExEURsTsibm4bdm5E3BERN5avU6uMUZIkSZI0fjb8SM1wMXBKh+HvyMwTytfHxhyTJEmSJKliNvxIDZCZ1wL3VB2HJEmSJKlebPjpk/cL6c0o15Hrvy+vjYibykvBjqg6GEmSJEnSeB1YdQCSRuZdwHlAln/PB17ZacKI2AhsBJiammJhYWGgAudmFvcbNnXwvsMHXfZq42iV22lcp+na7d27dyxxj8qkxw/NqIMkSZJUBRt+pIbKzLta7yPi3cCVy0y7GdgMsH79+pydnR2ozA0demPNzSxy/raH/tXsOGuwZa82jla5ncZ1mq7dwsICg66TOpj0+KEZdZAkSZKq4KVeUkNFxLq2jy8Bbu42rSRJkiSpmezxIzVARFwKzAJHRcRO4C3AbEScQHGp1w7g1VXFJ0mSJEmqhg0/UgNk5pkdBr937IFIkiRJkmrFS70kSRqiiDg2Iq6JiO0RcUtEvL4cfmREXBURt5Z/j2ib500RcVtEfCkiXlhd9JIkSWoaG34G1P5I8bX6iPf2eg97HYxy2Rq+OnxHK5Vfhxi1ZiwCc5n5VODZwGsi4nhgHrg6M48Dri4/U457OfA04BTgTyLigEoilwRARBwQEf8UEVeWn7s23EoajYi4KCJ2R8TNbcM8iSINwIYfSZKGKDN3ZeYN5fv7ge3AMcDpwCXlZJcAZ5TvTwc+mJnfzcyvArcBJ441aElLvZ4id1s6NtxKGqmLKU6ItPMkijQA7/EjSdKIRMQ08EzgOmAqM3dB0TgUEUeXkx0DfLpttp3lsKXL2ghsBJiammJhYWEkMc/NLLJ3796RLX+crEe9TEo9IuIJwGnA24BfLwefTvEQBSgabheAN447Nmktycxry/1ou265+OBJFOCrEdE6ifKpsQQr1dyKDT8RcRHwYmB3Zj69HHYk8CFgmuJpQS/LzHtHF6YkSZMlIg4FPgy8ITPvi4iuk3YYlvsNyNwMbAZYv359zs7ODinSfW2Y38rFpxzCqJY/TgsLC9ajRiaoHn8A/AZwWNuwbg23ksZrVSdRoPuJlElpnB6U9ZtcczOLTB3MqurXS4+fi4F3Au9rG9bqYrcpIubLz571kCQJiIiDKBp9tmTmR8rBd0XEuvJAdR2wuxy+Ezi2bfYnAHeOL1pJLRHROtl5fUTMDjB/zz3zpg4uDubbjfNHS9U/ktZy+Wu57iPU00kU6H4iZYIapwdi/SbXhvmtzM0s8rJV1G/Fhp8+u9hJUmVGdfPmbXfsefAfnrSSKLr2vBfYnpkXtI26AjgH2FT+vbxt+Aci4gLg8cBxwGfGF7GkNicBPxMRpwKPBB4dEe+ne8PtPvrpmXfhlss5f9u+h+I7zuo+/bBV/SNpLZe/lus+BJ5EkQYw6M2d9+liB9jdVZKkwknA2cDzIuLG8nUqRYPPCyLiVuAF5Wcy8xbgMuALwMeB12TmA9WELq1tmfmmzHxCZk5T3Cj27zLzF3io4Rb2bbiVNF7dcvEK4OUR8YiIeBKeRJH2MfKbO4/rZpQtg3RdnJtZ7Hme9i65rXlawxYWFmrRdXJcMbTqfeGWy5mbeWh4q+vy0vXTi+XmuXDL5eW4fbtCb7tjDwAzxxwONLb7qqQJkZmfpHOXc4CTu8zzNoobyUqqp03AZRHxKuDrwEsrjkdqvIi4lOIqk6MiYifwFrrkYmbeEhGtkyiLeBJF2segDT89dXeF8d2MsmWQrosb5rf23LV2Q9ulJK15WsN2nDVbi66T44phQ5fLauZmFjl/24H7rZ9e9DpP+/fVvv5h4ruvSpKkGsjMBYrbGZCZd9Ol4VbSaGTmmV1GeRJF6tOgl3rZ3VWSJEmSJKnmVmz4KbvYfQp4SkTsLLvVdbxPgSRJkiRJkuqjl6d69dXFTpIkSVL/Wk+n3LHptIojkSQ1yaCXekmSJEmSJKnmbPiRJEmSJElqqDXT8DM9v/XB7rMrTbca2+7Y8+Ayei1z0vSzLkdV/6auW0mSJEmShmnNNPxIkiRJkiStNTb8SJIkSZIkNZQNP5IkSZIkSQ1lw4/UABFxUUTsjoib24YdGRFXRcSt5d8jqoxRkiRJkjR+NvxIzXAxcMqSYfPA1Zl5HHB1+VmSJEmStIbY8CM1QGZeC9yzZPDpwCXl+0uAM8YZkyRJkiSpegdWHUAVWo8B37HptJ6n7zStjxNXzU1l5i6AzNwVEUd3mzAiNgIbAaamplhYWOiroLmZxe5BHLzv+H6XPYwY+tEpvqmDRxf3OOzdu3ei44dm1EGSJEmqwpps+JG0r8zcDGwGWL9+fc7OzvY1/4ZlGkHnZhY5f9tD/2p2nNXfsocRQz86xXfhlst5WZ/rpE4WFhbo9zutmybUQZJ61e2koyRJg/BSL6m57oqIdQDl390VxyNJkiRJGjMbfqTmugI4p3x/DnB5hbFIkiRJkipgw4/UABFxKfAp4CkRsTMiXgVsAl4QEbcCLyg/S5IkSZLWEO/xIzVAZp7ZZdTJYw1EkiRJklQr9viRNFbT81tr/US8OscmSZIkSf2yx08H/T7uvX2+uZlRRFQfo/5R7I9uSZIkSZKGxx4/kiRJkiRJDWWPH0mSJEmSpBoZ5tUw9viRJEmSJElqKHv8SNISS1vX52Y6t7i37gM2Pb+173uCSZIkSdI42ONHkiRJkiSpoezxs4zVXFPn06kkSZIkSVLV7PEjSZIkSZLUUDb8SJI0RBFxUUTsjoib24YdGRFXRcSt5d8j2sa9KSJui4gvRcQLq4laEkBEHBsR10TE9oi4JSJeXw7vmsOjMj2/1R7kUhcRsSMitkXEjRHxuXLY2PNUmhQ2/EiSNFwXA6csGTYPXJ2ZxwFXl5+JiOOBlwNPK+f5k4g4YHyhSlpiEZjLzKcCzwZeU+ZpxxyWVKnnZuYJmbm+/GyeSl2squGnU0urJElrWWZeC9yzZPDpwCXl+0uAM9qGfzAzv5uZXwVuA04cR5yS9peZuzLzhvL9/cB24Bi657Ck+jBPpS6GcXPn52bmt4awHEmSmmoqM3dB8cMyIo4uhx8DfLptup3lsP1ExEZgI8DU1BQLCwsjCXRuZpG9e/eObPnjZD3qZdLqERHTwDOB6+iew5KqkcAnIiKBP8vMzZinUlc+1UuSpOpEh2HZacLyoHYzwPr163N2dnYkAW2Y38rFpxzCqJY/TgsLC9ajRiapHhFxKPBh4A2ZeV9Ep1TtOF/PDbRTBxcNrSsZVWNZ1Q1xa7n8tVz3ITopM+8sG3euiogv9jpjtzxtyHrpyvpNnvZ9xNTBq9sfrLbhp1NL6z7GdYaypdsX3lppCwsL+7xvjbtwy+Xl+87LXWl8S6ed+Lg3wFFu9L0coPR6IDMMnb7PJia9pIl3V0SsK89ArgN2l8N3Ase2TfcE4M6xRyfpQRFxEEWjz5bM/Eg5uFsO76OfBtoLt1zO+dtWPhTfcVb3ZaxG1Q1xa7n8tVz3YcnMO8u/uyPioxSXSa8qT5uwXpZj/SbPhrYb/M/NLPKyVdRvtQ0/+7W0lvc2eNC4zlC2dPvCWyttx1mz+7xvHzcMczOL++3ER7XD7maUG30v66rTOhiVTt9nE5Ne0sS7AjgH2FT+vbxt+Aci4gLg8cBxwGcqiVASUXTteS+wPTMvaBvVLYcljVlEHAI8LDPvL9//NPA7mKdSV6v6dd6lpfXa5eeSpOHxUbeqm4i4FJgFjoqIncBbKA5CL4uIVwFfB14KkJm3RMRlwBconib0msx8oJLAJQGcBJwNbIuIG8thb6ZLDkuqxBTw0fISzAOBD2TmxyPis5inUkcDN/ws09IqSdKalZlndhl1cpfp3wa8bXQRSepVZn6Szvfegi45LGm8MvMrwDM6DL8b81TqaDU9fjq2tA4lKklDExE7gPuBB4DFzFxfbUSSJEmSpHEZuOGnW0urpFp6bmZ+q+ogJEmSJEnj9bCqA5AkSZIkSdJojOfRSzU1rpvCtpezY9NpYylzGCY1bngo9lbc0/NbJ64OQ5TAJyIigT8rn7QnSZIkSVoD1nTDj7RGnJSZd0bE0cBVEfHFzNzn6XsRsRHYCDA1NcXCwkJfBczNLHYdN3Vw5/H9lrHUtjv2lGWvajE9WakOczOLD75vxTVzzOGjD6xHe/fuXfX6rloT6iBJg1h6MkuSpH7Z8CM1XGbeWf7dHREfBU4Erl0yzWZgM8D69etzdna2rzI2LNN7bm5mkfO37f+vZsdZ/ZXRT5nDtlIdNsxv3ed9+7g6WFhYoN/vtG6aUAdJkiSpCt7jR2qwiDgkIg5rvQd+Gri52qgkSZIkSeNijx+p2aaAj0YEFPn+gcz8eLUhSZIkSZLGxR4/UoNl5lcy8xnl62mZ+baqY5IkSf0b10NJJEnNY8OPpEpN8oHs9PzWiY5fkiRJUvM18lKv5Z5+UJcfaZP2hIa6rLel2uNqvS+evjT4pj1p340kSZIkSd3Y40eSJEmSJKmhbPiRJEmSJElqKBt+JEmSJNWW99STpNWx4UeSJEmSJKmhbPiRVLkmnMnrpQ5Lb0Y+6XUexLDqvVbXnyRJktQvG34kSZIkSZJqYtgnOBvd8DMJZ4M7xbh0mGe2B+e6kyRJqq9Bj9Nax3irOdbrNp/Hj5KaptENP5IkSZLUq0EafGwkklR3NvxIkiRJkiQ1lA0/kga22u7V/cy79MbIddet+/nSYZNQl6V6/e5W6oJvV3pJUrteHpKw3D5lNcuWpCaz4UeSJEmSJKmhDqw6AEmSJEkra++1smPTaRVGMlz99sbppXdPk9aPJK2WPX4kSZIkSZIaqlY9flqt9yu10LdPt9I8dbued7l4VrrvR6/rp9eyO62/uq2vYVqurp4VkiRJGp9td+xhwzLHu+PW672DPGaU6s9ef/uzx48kSZIkSRqqcTzIo8kdF4apVj1+JNVflf9cm/qPvVNvvn56Ng677GEsZ7XflT3yJGmydTrjPuqz8L0+NXN6fitzM4sM+lNolPtlqYm65cygubT0f0krp2dXWHavw5poVQ0/EXEK8IfAAcB7MnPTUKKSNDTmqVR/dcvT1iUYTT8IkvpRtzxd7sfKKH7IdGrg73X5dTlxs9ytFHqdvp95B1lXWp265WmTjKuBpN8Gm9Usr45GFdvAl3pFxAHAHwMvAo4HzoyI44cVmKTVM0+l+qtLno6jO7Y0qeqSp5K6M0+r1ctxxHL30qr6GKTq8kdtNT1+TgRuy8yvAETEB4HTgS8MIzBJQ2GeSvVXeZ42/WBHGoLK83Qlw+xVMsjj1Ttd6rtcD5u5mVUEWKGVbgK90gNn+u2hNa7L4xrSI6n2edoUw7jEfzU96oY5z1qxmoafY4Db2z7vBH5sdeFIGjLzVKq/2ubpuO41JU2A2uappAcNPU/rsu8b5OnXvUzXPu1KwzrN2+/lkysZZcNNL8vuZZr2Y6LlhrWGDyu21YrMHGzGiJcCL8zMXyo/nw2cmJmvWzLdRmBj+fEpwJcGD7cnRwHfGnEZdS6/DjGslfKfmJmPHUM5A6tJnla9PQzDpNdh0uOHwetgng6mCdsMWI+66VaPtZqnVX+vll9d+ZNY97WQp1V/L6Nm/SZbL/Xrmqer6fGzEzi27fMTgDuXTpSZm4HNqyinLxHxucxcP67y6lZ+HWJY6+XXTOV52oTvY9LrMOnxQzPqsIzK83Sppqxv61EvE16Poedp1evD8qsrfy3XfcRWlacNXi+A9Zt0q63fwDd3Bj4LHBcRT4qIhwMvB65YxfIkDZ95KtWfeSrVn3kq1Z95KnUxcI+fzFyMiNcCf0PxuLyLMvOWoUUmadXMU6n+zFOp/sxTqf7MU6m71VzqRWZ+DPjYkGIZlrFdVlbT8qH6GNZ6+bVSgzxtwvcx6XWY9PihGXXoqgZ5ulRT1rf1qJeJrscI8rTq9WH5a7PsOpQ/MqvM08aul5L1m2yrqt/AN3eWJEmSJElSva3mHj+SJEmSJEmqsYls+ImIl0bELRHxvYhYv2TcmyLitoj4UkS8sMv8R0bEVRFxa/n3iFXE8qGIuLF87YiIG7tMtyMitpXTfW7Q8jos99yIuKMthlO7THdKuU5ui4j5YZVfLvv3I+KLEXFTRHw0Ih7TZbqhrYOV6hOFPyrH3xQRP7Ka8rQ6vW4jdbXc/5y6G2Xuj0NEXBQRuyPi5qpjWSsmaZvptH0st4/v5Rhh3CLi2Ii4JiK2l/9nXl8On7R6PDIiPhMRny/r8dZy+ETVY1zGmWfLbGM9HUMOKYb9jgGHeTy+QtlPaavjjRFxX0S8YZT1r/p/U5fyOx6LRcR0RPxL23r409WWX0fdjuWWq39EPKvcbm+L4ndFlMMfEcVvwNsi4rqImK6gSvvoVr9yXMfta5Lqt9Ry+dtvfSfBUPYZmTlxL+CpwFOABWB92/Djgc8DjwCeBHwZOKDD/L8HzJfv54HfHVJc5wO/3WXcDuCoEayLc4H/usI0B5Tr4snAw8t1dPwQY/hp4MDy/e92W5/DWge91Ac4FfhrIIBnA9dVsa366m8bqeur2/+cur9GnftjqsN/BH4EuLnqWNbCa9K2mU7bR7d9fK/HCBXUYR3wI+X7w4D/V8Y6afUI4NDy/UHAdeX+d6LqMaZ1NdY8W2YbO5cVjiGHGMN+x4Ddto0xrPtvAE8cZf2r/t/UpfyOx2LA9FrYx9L992PX+gOfAX68/P/218CLyuG/Cvxp+f7lwIdqXL+u29ck1a9DfTvm7yD1rfuLIe0zJrLHT2Zuz8wvdRh1OvDBzPxuZn4VuA04sct0l5TvLwHOWG1MZYvhy4BLV7usETgRuC0zv5KZ/wZ8kGIdDEVmfiIzF8uPnwaeMKxld9FLfU4H3peFTwOPiYh1I45LXVSwjQzVMv9z6m6kuT8OmXktcE/VcawhE7XNdNk+uu3jez1GGKvM3JWZN5Tv7we2A8cwefXIzNxbfjyofCUTVo8xGWueLbONVW3ox+M9OBn4cmZ+bZSFVP2/qVP5k34stlr9HsuVvxsenZmfyuLX9/vY9ztrfZd/CZxcde+Rfn8fT1r9+jBIfetuKPuMiWz4WcYxwO1tn3fSecc2lZm7oNgZAkcPoeyfBO7KzFu7jE/gExFxfURsHEJ57V5bdtu8qEs32V7XyzC8kqIFtZNhrYNe6jPOOqs/y20jGi7zQP1qwjbTbR9f+7qV3emfSdFbZuLqEREHRHHJ+27gqsycyHqMQWV1X7KNwcrHkMPS6RhwFMfjK3k5+56kHVf9oV65sPRY7EkR8U8R8fcR8ZMjLruOOtX/GIrvoqX9e3nwOysb0/YA3zeuYPvUbftqQv065e8g9a27ofyPWNXj3EcpIv4WeFyHUb+ZmZd3m63DsFU/tqzHWM5k+d4+J2XmnRFxNHBVRHyxbI1fVfnAu4DzKOp5HsXlZq9cuogO8/a1XnpZBxHxm8AisKXLYgZeB0vD6TBsaX1Gsi2ouyFtI5UZ8H9O3ZkH6leTt5la1y0iDgU+DLwhM+9b5uRqbeuRmQ8AJ5T3DvloRDx9mclrW48xqKTuHbaxXo4hh2W/Y8ARldNVRDwc+BngTeWgcdZ/2dA6DBvZ9tDhWGwX8P2ZeXdEPAv4q4h4WmbeN6oYRmXAY7mO9Wf576WqHB7m7+Pa1W+pAX8DD1LfuhtK7LVt+MnM5w8w207g2LbPTwDu7DDdXRGxLjN3ld2+dq8mlog4EPjPwLOWWcad5d/dEfFRii5bPTV69LouIuLdwJUdRvW6XgaOISLOAV4MnFx2n+u0jIHXwRK91GfVdVZ/hrGNVGnA/zl1Zx6oX03YZrrt42tbt4g4iOIH+ZbM/Eg5eOLq0ZKZ346IBeAUJrgeIzT2unfaxjLzrrbx3Y4hh6LLMWBfx+ND8CLghla9x1n/UuW50OlYLDO/C3y3fH99RHwZ+EFgaA+jGZdBjuWWqf9O9r0crv17aX1nO8vfgYczhsvSh/z7uHb1W2rA38CD1LfuhvI/ommXel0BvLy8E/mTgOMobuLUabpzyvfnAKs9m/984IuZubPTyIg4JCIOa72nuLnaUJ5Qs+S+NS/pstzPAsdFxJPKsx0vp1gHQxERpwBvBH4mM/+5yzTDXAe91OcK4BVReDawp9W9VuPXyzaikRhp7quRmrDNdNvH93qMMFblfRPeC2zPzAvaRk1aPR4bDz0l6GDKYyMmrB5jMtY867aN9XgMOYzyux0DDvt4fCX79M4fV/3bVJoL3Y7Fytw9oHz/5LL8rwy7/LrqVv/yd8P9EfHsModewb7fWeu7/Fng7+p4UrPUcfua9Potk7+D1LfuhrPPyBrcqbrfF8WXu5OidfYu4G/axv0mxV2vv0TbnbqB91De4ZziGsWrgVvLv0euMp6LgV9ZMuzxwMfK90+muPv254FbKLrjDWtd/DmwDbip3ADWLS2//HwqxVMcvjzM8stl30Zx3eGN5etPl8Yw7HXQqT7Ar7S+B4oucX9cjt/GBD2JqYmvbtvIpLyW+59T99coc39M8V9K0Q3738vv4FVVx9T01yRtM522j+X28d2OESquw3Moumzf1PY/8tQJrMcPA/9U1uNmyqecTlo9xri+xpZny2xjHY8hR1B+x2PA5baNEcTwKOBu4PC2YSOrf9X/m7qU3+14/f9Xfi+fB24A/tMot8eqXnQ5lluu/sD68v/Zl4F3AlEOfyTwF+U6/Qzw5LrWb7nta5Lq16G+XfO33/pOwosh7DNaX64kSZIkSZIapmmXekmSJEmSJKlkw48kSZIkSVJD2fAjSZIkSZLUUDb8SJIkSZIkNZQNP5IkSZIkSQ1lw48kSZIkSVJD2fAjSZIkSZLUUDb8SJIkSZIkNZQNP5IkSZIkSQ1lw48kSZIkSVJD2fAjSZIkSZLUUDb8SJIkSZIkNZQNP5IkSZIkSQ1lw48kSZIkSVJD2fAjSZIkSZLUUDb8SJIkSZIkNZQNP5IkSZIkSQ1lw48kSZIkSVJD2fAjSZIkSZLUUDb8SJIkSZIkNZQNP5IkSZIkSQ1lw48kSZIkSVJD2fAjSZIkSZLUUDb8SJIkSZIkNZQNP5IkSZIkSQ1lw48kSZKkoYuI6YjIiDiw6lgk9cf8bRYbfkZgEpIkIs6KiE9UHYdUJ5OQu9JaNwl5OgkxSnUSEY+IiIsi4r6I+EZE/HrVMQ0iIhYi4peqjkMap6bkb9PZ8FOhKpMkM7dk5k+PqzypSdzBSfXXxDyNiHMj4v1VxyGNwLnAccATgecCvxERp1QakaRenYv5W3s2/FTrXEwSaRKdy4TnbhTcB6jJzmVEeWpPHq1VEXFsRHwkIr4ZEXdHxDsj4mER8VsR8bWI2B0R74uIw/tc9CuA8zLz3szcDrwb2LCKOM8u47k7In4zInZExPPLcRdHxP9om3Y2Ina2fZ6PiC9HxP0R8YWIeEnbuA0R8cmIeHtE3BsRX42IF5Xj3gb8JPDOiNgbEe8cNH5pFCYhfyNia0S8bsmwmyLijPL9D0XEVRFxT0R8KSJe1jbd4WX83yzr81se6z7EFdGDCUmSVrfyX4yI28ud0a9ExI+WyfLt9h1Qa8fV9jnL6W8t5/3jiIi2af9vRLyjXM5XIuInyuG3l/U/p21Zp0XEP5VnWW+PiHPbxv1cOf+jy88viuJM7GMHqbe0nAnJ3dYBYuu12MqZiHhjRNxRHnx+KSJOLocfEBFvbjswvT4iji3H/UREfDYi9pR/f6KtrIWIeFtE/F/gn4EnL7cDlcZhQvK0tY99VUR8Hfi7HmN8ZUTcGRG7ImKubXkr/fDcL/ejaLR6M/Bz5f+Kzw9SF2lQEXEAcCXwNWAaOAb4IEVebaBoYH0ycCjQc6NHRBwBPB5o36Y/DzxtwDiPB94FnF0u9/uAJ/SxiC9TNOAcDrwVeH9ErGsb/2PAl4CjgN8D3hsRkZm/CfwD8NrMPDQzXztI/NIoTEr+ApcAv9C2/GeUsX4sIg4BrgI+ABwNnAn8SUS0yrqQIm+fDPwUxXHALw4YR+PY8LOCCUqSlh+jOMP5c8AfAL8JPL9c7ssi4qeWmffFwI8CzwBeBrxwyXJvoth5foBiHfwo8AMUyfnOiDi0nPY7FIn2GOA04L9E2UqbmR8CPgX8UUR8H/Be4Jcy85urqLO0n0nJ3cxsHSAeCjwHuBe4PCKeArwW+NHMPIwiH3eUs/06xc7uVODRwCuBf46II4GtwB9R5OoFwNYy11rOBjYChwHfZPkdqDRSk5KnbX4KeCpFPvYS43Mp9sk/DcxH2eNgOd1yPzM/DvxP4EPl/4xnrLIuUr9OpMir/5aZ38nMf83MTwJnARdk5lcycy/wJuDl0XvPuNbx4562YXso9lOD+Fngysy8NjO/C/x34Hu9zpyZf5GZd2bm98rj1lsp6t7ytcx8d2Y+QPEjdR0wNWCs0rhMSv5eDhwXEceVn8+m2O/9G8Vv1R2Z+b8zczEzbwA+DPxseTzxc8CbMvP+zNwBnF/OL2z46cWkJEnLeWWMn6BogLk0M3dn5h0UZyGeucy8mzLz25n5deAa4IS2cV8tk+wB4EPAscDvZOZ3y7L+jaIRiMxcyMxt5Q7zJuBSioPlltcAzwMWgP+TmVeuss5SJxOVu2Wvt78CXpeZ/wQ8ADwCOD4iDsrMHZn55XLyXwJ+KzO/lIXPZ+bdFA2tt2bmn5c7xEuBLwL/qa2oizPzlsxcBE6hyw50NXWR+jBReQqcW8b5Lz3G+NZy+m3A/6ZoXF3JcrkvVelYikaPxSXDH0/ReNvyNeBAem8M2Vv+fXTbsEcD9w8SZBnP7a0Pmfkd4O5eZ46IV0TEjVH0cv828HSK3j0t32hb9j+Xbw9FqreJyN+ysfYy4BeiuEzrTODPy9FPBH6slZtlfp4FPI4iRx/O/nU5ZpA4msiGn5VNRJK0uavt/b90+Lzcjukbbe//ecm0S5dDZnZcdkT8WERcU3bb3wP8Cm07zMz8NvAXFDvS81eojzSoicndiDgI+EvgA5n5QYDMvA14A8V9SnZHxAcj4vHlLMdSdEVfamndYP+d3u1t75fbgUrjMDF5WmrPn15ivH3J+MezghVyX6rS7cD3d2iAvZNif9Ly/cAi+x47dpWZ9wK7KHqctzwDuGXAOHdR/G8BICIeRdELtuU7wKPaPj+ubdonUlwW+lrg+zLzMcDNQPRYdg4WsjRyk5K/UPSkOws4GfjnzPxUOfx24O8z8zFtr0Mz878A3wL+vUNd7lhFHI1iw8/KJilJ6uIDwBXAsZl5OPCntO0wI+IEiktTLqW4JEUahUnK3QspfpD+1pKyPpCZzynjTeB3y1G3A/+hw3KW1g323+m1H5QutwOVxmGS8hT2zZ9eYjx2yfg7y/ddf3jCsrnvj0pV6TMUebUpIg6JiEdGxEkUx3O/FhFPKi/7b12SuLRBdznvA34rIo6IiB8Cfhm4eMA4/xJ4cUQ8JyIeDvwO+/7muRE4NSKOjIjHUTS0thxCkWffBIiIX6Q4Udmruygu/ZTqZlLyl7Kh53sUHQT+vG3UlcAPRnHz9oPK149GxFPLq1IuA94WEYeVjbi/DvgkzJINPyubmCSpkcOAezLzXyPiRODnWyMi4pEUCfhmipttHRMRv1pNmGq4icjdiHg1xaWQP5+Z32sb/pSIeF5EPAL4V4pedQ+Uo98DnBcRx0Xhh8v7+HyMYof48xFxYET8HHA8xY6yk6470EHqIg1gIvK0i15i/O8R8ago7pv1ixSXSsMyPzxXyP27gOnwKSWqQPnD6j9RXNr/dWAnxT01LqL4cXYt8FWK7fZ1XRbTzVsoerJ+Dfh74PezuK/VIHHeQnFbgQ9Q/H+5t4y15c8p7vm1A/gED+UlmfkFih+bn6LItxng//ZR/B9S3G/k3ojw5KZqY1Lyt837KPLvwYabzLyf4p55L6c4kfINihMjjygneR3FiZWvAJ+k+B9w0SrjaI7M9LXCi+Is3V9RXB/8LYpeKg8DfpvibOU3KTbKI8rppynOFhy4wnIfQbEx3kexc/n1VcS4X5kUCT3b9vn9FPcFgeKGlJ9sG5fAD7R9vhj4H12m/YFi09mn/J3Ac8r3P0uR+PdT/LB8J/D+ctw7gI+3zfcM4B7guKq/Z1/Ne01I7i4A36W4NKX1ejPwwxQ/iu8vc+RK4PHlPAdQ9A76ajn+s8ATynHPAa6nuJ/J9a28bCvrl5aU/xSKG0J/s1xPfwecUPV352vtvCYkT/crs8cYN/LQwelvtM37SIofm/dRPDjh14Cd5bjlcv/7KA5m7wVuqPq78+VrUl4UjTzPrzoOX7589faieFDQJ6uOo0mvKFesJEmSJDVOROygOPHxt1XHIml55X25/g74k8x8X9XxNIVdhSVJkiSNVETs7fL6yWXmOavLPF/tMrwJ98qUamdc+RsRL6ToRXsXxaVaGhJ7/IxYROztMupFmfkPXeY5C/izDqO+CTy2w/CvZebTBgxRUgfmrlR/5qkkSdLKbPiRJEmSJElqKC/1kiRJkiRJaqgDx1nYUUcdldPT013Hf+c73+GQQw4ZX0DGUMvyJyWG66+//luZ2emygIm2Up72qw7f5UomIUYwzkGshTyt0/ruxPgGV+fYYHjxrYU8HbUqt5Wqt1PrPp7ym5ynj33sY9fM92j5zS5/2Twd5yPEnvWsZ+VyrrnmmmXHj4MxVF/+pMQAfC5r8Gi+Yb9WytN+1eG7XMkkxJhpnINYC3lap/XdifENrs6xZQ4vvrWQp6NW5bZS9XZq3cejyXm6lr5Hy292+cvlqZd6SZIkSZIkNZQNP5IkSZIkSQ1lw48kSZIkSVJD2fAjSZIkSZLUUDb8SJIkSZIkNZQNP5IkSZIkSQ1lw48kSZIkSVJD2fCjSkzPb606BEkrME+l+jNPtRZNz2998NVpuKTRMccmkw0/kiRJkiRJDWXDjyRJkiRJUkOt2PATEcdGxDURsT0ibomI15fDz42IOyLixvJ16ujDldSJeSrVn3kqSZKkKhzYwzSLwFxm3hARhwHXR8RV5bh3ZObbRxeepB6Zp1L9maeSJEkauxUbfjJzF7CrfH9/RGwHjhl1YJJ6Z55K9WeeSpIkqQp93eMnIqaBZwLXlYNeGxE3RcRFEXHEsIOT1D/zVKo/81SSJEnj0sulXgBExKHAh4E3ZOZ9EfEu4Dwgy7/nA6/sMN9GYCPA1NQUCwsLXcvYu3fvsuPHwRjGU/7czKLbwgiMI0/7NQnrcRJihPHHuVKedjMp67Mqw87Tuq9v4xtcL7ENmqfDUOd1J0mSHtJTw09EHERxkLolMz8CkJl3tY1/N3Blp3kzczOwGWD9+vU5OzvbtZyFhQWWGz8OxjCe8jfMb2XHWd3LqHod1CWGfowrT/s1CetxEmKE8ce5Up52MynrswqjyNO6r2/jG1wvsQ2ap8NQ53WnZpqe37rfsG137GFDh+GSpIf08lSvAN4LbM/MC9qGr2ub7CXAzcMPT1IvzFOp/sxTSZIkVaGXHj8nAWcD2yLixnLYm4EzI+IEiq7pO4BXjyA+Sb0xT6X6M08lSZI0dr081euTQHQY9bHhhyNpEOapVH/mqSRJkqrQ11O9JEmSpKaKiGMj4pqI2B4Rt0TE68vhR0bEVRFxa/nXp+9JkiaGDT+SJElSYRGYy8ynAs8GXhMRxwPzwNWZeRxwdflZkqSJYMOPJEmSBGTmrsy8oXx/P7AdOAY4HbiknOwS4IxKApQkaQA2/EiSJElLRMQ08EzgOmAqM3dB0TgEHF1haJJqanp+a9UhSB318lQvSZIkac2IiEOBDwNvyMz7Ijrdl73jfBuBjQBTU1MsLCyMLMZ2e/fuHVtZ4yp72x17AJg55vAH38/N7D/d1MEwN7O4z7ALt1zOzDGHDz2mpapc73UoX9LksOFHkiRJKkXEQRSNPlsy8yPl4LsiYl1m7oqIdcDuTvNm5mZgM8D69etzdnZ2HCGzsLDAuMoaV9kbyp4TO86affB9J3Mzi5y/bf+fNDvOGn5MS1W53utQvqTJ4aVekiRJEhBF1573Atsz84K2UVcA55TvzwEuH3dskiQNyoYfSZIkqXAScDbwvIi4sXydCmwCXhARtwIvKD9LqkBEHBsR10TE9oi4JSJeXw4/MiKuiohby79HVB2rVBde6iVJkiQBmflJoNsNfU4eZyySuloE5jLzhog4DLg+Iq4CNgBXZ+amiJgH5oE3VhinVBv2+JEkSZIkTYTM3JWZN5Tv7we2A8cApwOXlJNdApxRSYBSDdnwI0mSJEmaOBExDTwTuA6YysxdUDQOAUdXGJpUK17qJUmSJEmaKBFxKMUT+N6QmfcV92bvab6NwEaAqakp9u7dy8LCwlBimptZ7LisbXfsefD9zDGH7zNumOUPot/yO9Vx2x179qvXqMoftrVSvg0/kiRJkmppeplHufcz345Npw0jHNVERBxE0eizJTM/Ug6+KyLWZeauiFgH7O40b2ZuBjYDrF+/Pg899FBmZ2eHEteG+a3sOGv/ZW1o2x6Xjl9YWBha+YPot/xOdexW71GUP2xrpXwv9ZIkSZIkTYQouva8F9iemRe0jboCOKd8fw5w+bhjk+rKHj+SJEmSpElxEnA2sC0ibiyHvRnYBFwWEa8Cvg68tJrwpPqxx4/GZtCuupLGxzyV6s88lbSWZeYnMzMy84cz84Ty9bHMvDszT87M48q/91Qdq1QXNvxIkiRJkiQ1lA0/kiRJkiRJDWXDjyRJkiRJUkPZ8CNJkiRJktRQNvxIkiRJkiQ1lA0/kiRJkiRJDWXDjyRJkiRJUkPZ8CNJkiRJktRQNvxIkiRJkiQ1lA0/kiRJkiRJDbViw09EHBsR10TE9oi4JSJeXw4/MiKuiohby79HjD5cSZ2Yp1L9maeSJEmqQi89fhaBucx8KvBs4DURcTwwD1ydmccBV5efJVXDPJXqzzyVJEmNMT2/len5rVWHoR6s2PCTmbsy84by/f3AduAY4HTgknKyS4AzRhSjpBWYp1L9maeSJEmqwoH9TBwR08AzgeuAqczcBcXBbEQc3WWejcBGgKmpKRYWFrouf+/evcuOHwdjGF35czOLDy63/f04Y+hHHWIYxKjztF+TsB4nIUYYT5z95Gk3k7I+qzTMPK37+ja+wXWLbRh5Ogx1XnfSUtPzW9mx6bSqw5CkSvTc8BMRhwIfBt6QmfdFRE/zZeZmYDPA+vXrc3Z2tuu0CwsLLDd+HIxhdOVvmN/KjrNm93s/zhj6UYcY+jWOPO3XJKzHSYgRxhNnP3nazaSsz6oMO0/rvr6Nb3DdYhtGng5DndedJEl6SE9P9YqIgygOUrdk5kfKwXdFxLpy/Dpg92hClNQL81SqP/NUkiRJ49bLU70CeC+wPTMvaBt1BXBO+f4c4PLhhyepF+apVH/mqSRJkqrQy6VeJwFnA9si4sZy2JuBTcBlEfEq4OvAS0cSoaRemKdS/ZmnkiRJGrsVG34y85NAtxsQnDzccCQNwjyV6s88lSRJUhX6eqqXJEmSJEla2fT81qpDGImm1qvJerq5syRJkiRJkiaPPX4kSZIkVW7UvQhay9+x6bSRliNJdWOPH0mSJEmSpIay4UeSJEmSJKmhbPiRJEmSJElqKBt+JEmSJCAiLoqI3RFxc9uwcyPijoi4sXydWmWMkiT1y4YfSZIkqXAxcEqH4e/IzBPK18fGHJMkSatiw48kSZIEZOa1wD1VxyFJ0jDZ8CNJkiQt77URcVN5KdgRVQcjSVI/Dqw6AEmSJKnG3gWcB2T593zglZ0mjIiNwEaAqakpFhYWxhLg3r17x1bWKMredsceAOZm+p936mCYm1nsa54Lt1wOwMwxh/dfYJsq13sdypc0OWz4kSRJkrrIzLta7yPi3cCVy0y7GdgMsH79+pydnR15fAALCwuMq6xRlL1hfuvA887NLHL+tsF+0uw4a3bgcqHa9V6H8iVNDi/1kiRJkrqIiHVtH18C3NxtWkmj59P3pP7Z40eSJEkCIuJSYBY4KiJ2Am8BZiPiBIpLvXYAr64qPklA8fS9dwLvWzL8HZn59vGHI9WfDT+SJEkSkJlndhj83rEHIqmrzLw2IqarjkOaJDb8aKimy2u0d2w6redpWzrNMz2/tadlSeqdeSrV3/T8VuZmFpntcdp25qmkNeq1EfEK4HPAXGbe22mipTdhH+ZNsudmFve5eXinG4+3ymrd1PxJhx9Qq5uEb7tjz4M3Pm/F2H4j9G43U19ar15vnl71TcrXSvk2/EiSJEmSJlnPT99behP2Qw89dGg3yW6/UfmOs2Y73ri8dVPx1riLTzmkVjcJ3zC/db8Y22+E3u1m7MvN00/547ZWyvfmzpIkSZKkiZWZd2XmA5n5PeDdwIlVxyTViQ0/kiRJkqSJ5dP3pOV5qZckSZIkaSL49D2pfzb8SJIkSZImgk/fk/rnpV6SJEmSJEkNZcOPxmp6fut+j51tHyepeuapVH/mqSRJ6pWXekmSJEmSNERrrXG+qfVqCnv8SJIkSZIkNdSKDT8RcVFE7I6Im9uGnRsRd0TEjeXr1NGGKWk55qlUf+apJEmSqtBLj5+LgVM6DH9HZp5Qvj423LAk9elizFOp7i7GPJWkfVR5eYiXpkhaK1Zs+MnMa4F7xhCLpAGZp1L9maeSJEmqwmru8fPaiLip7Lp+xNAikjRM5qlUf+apJEmSRmbQp3q9CzgPyPLv+cArO00YERuBjQBTU1MsLCx0XejevXuXHT8q2+7Yw8wxh1caQ7uqY1hN+XMziwAd52+NW05rvlYMczOLla2Lqr+HIRhJnvZrWOuxPU+HbVK+62HFOaw8bZ+nfdikrM+aWHWe1ml9d8rTOsXXSV3jm5tZZOrg0eXpMNR13UmSpH0N1PCTmXe13kfEu4Erl5l2M7AZYP369Tk7O9t1uQsLCyw3flQ2zG9lx1mzlcbQruoYVlP+hvJa6db67DRuOUu/h/bvZtyq/h5Wa1R52q9hrcdRbguT8l0Pc13C6vO0fZ72YZOyPutgGHlap/XdKU/rFF8ndY1vw/xW5mYWeVmH2IaRp8NQ13UnSZL2NdClXhGxru3jS4Cbu00rqRrmqVR/5qkkSZNven5ro24WvrQ+g9St2zxNW1eTYsUePxFxKTALHBURO4G3ALMRcQJF1/QdwKtHF6KklZinUv2Zp5IkSarCig0/mXlmh8HvHUEskgZknkr1Z55KkiSpCqt5qpckSZIkSZJqbNCnekmSJElSX+p2b49WPDs2nVZxJJI0Ojb8aOTqtoOXtD/zVKo/81SSJA3CS70kSZIkSZIayoYfSZIkSZKkhrLhR5IkSZKkNWjbHXu8lHgNsOFHkiRJkiSpoWz4kSRJkiRJaigbfiRJkiRJkhrKhh9JkiRJa9r0/FbvcyKpsWz4kSRJkiRJaigbfiRJkiRJkhrKhh9JkiRJkqSGOrDqACRJkqQ6iIiLgBcDuzPz6eWwI4EPAdPADuBlmXlvVTFK0ih4j6tms8ePJEmSVLgYOGXJsHng6sw8Dri6/CxJ0sSw4UeSJEkCMvNa4J4lg08HLinfXwKcMc6YJElaLRt++uSjHnszynXk+tdKzNPemKeqknnaG/O0FqYycxdA+ffoiuORJKkv3uNHkiRJGoKI2AhsBJiammJhYWEs5e7du3dsZa227LmZxaGWP3XwcJfZT12qXO91KL8q3otL6p8NP5IkSVJ3d0XEuszcFRHrgN3dJszMzcBmgPXr1+fs7OxYAlxYWGBcZa227A1D7mk2N7PI+duG95Nmx1mzPU9b5XqvQ/kVuhh4J/C+tmGte3Ftioj58vMbK4hNqiUv9ZIkSZK6uwI4p3x/DnB5hbFIa5734pL6Z8OPJEmSBETEpcCngKdExM6IeBWwCXhBRNwKvKD8LKlevBeXtAwv9ZIkSZKAzDyzy6iTxxqIpJFZei+u1dwradsdewCYmxk8nqrv1dTrfbJaMfZzT61O9WrN3xpXdf3XSvk2/EiSJEmSJtnA9+I69NBDB75X0jDuWXXxKYdUeq+mC7dc3tN9slr3v+qnzp3umdWavzWu6ntVrZXybfgZ0PT8VnZsOu3B98CDn9eK9noP+5Gw2+7Y8+A/hbW6frV65ulo87R9eWt1/Wr1zFPzVJKGoHUvrk14Ly5pP97jR5IkSZI0EbwXl9Q/e/xIkiRJEvv2QlQ9eS8uqX8r9viJiIsiYndE3Nw27MiIuCoibi3/HjHaMCUtxzyV6s88lSRJUhV6udTrYuCUJcPmgasz8zjg6vKzpOpcjHkq1d3FmKeSJEkasxUbfjLzWuCeJYNPBy4p318CnDHcsCT1wzyV6s88lSRJa8n0/NahP7RAgxn05s5TmbkLoPx79PBCkjQk5qlUf+apJEmSRmrkN3eOiI3ARoCpqSkWFha6Trt3795lx4/K3Mzig+WuFMPczOKD71vTtYYNK/aq1kO/5bfqfeGWy5mb2X/80vXTi9Y8UwfvP9+FWy4vl7fvut52xx4AZo45vOdyelH19zBO/eRpv4a1HtvztJdpW3rJ00n5rgeJc5R52mmeC7dcXubvePJ0LemWp3Xafjvlabf4xrE/7UUd1l+3PG3tC0eRp8W41eVpHdadJEla2aANP3dFxLrM3BUR64Dd3SbMzM3AZoD169fn7Oxs14UuLCyw3PhR2TC/lR1nzfYUw4a2rmqteVrDWp9Xq6r10G/5G1botrd0/fSiNc+FWy7n/G3dN8/2dT3s9d9S9fcwBCPJ034Naz2252kv07b0kqeT8l0PEuco87TbPHMzi5y/7cCx5GkDrDpP67T9dsrTbvGNY3/aizqsv15zaZh5unS69ml7Xf91WHeSJGllg17qdQVwTvn+HODy4YQjaYjMU6n+zFNJkiSN1Io9fiLiUmAWOCoidgJvATYBl0XEq4CvAy8dZZCSlmeeSvVnnkpaqybt5q6teHdsOq3iSCRpOFZs+MnMM7uMOnnIsUgakHkq1Z95KkmSpCoMeqmXJEmSJEmSam7kT/Wqi167bG67Yw+zQyqnqd1Ee+2uO8puvU1dt2tdr9/r9PzWVX33S/N0bmZxVXlfR+apRqWqPO2lzEljnkqSJsUw9kXty2i9n5tZfOjhAg3e51fNHj+SJEmSJEkNZcOPJEmSJElSQ9nwI0mSJEmS1FA2/EiSJEmSJDWUDT+SJEmSJEkNZcOPJEmSpKGbnt860qfSjdokxy5J7dZkw0+/O6Fu0076zkyqM/NUqj/zVJIkqf7WZMOPJEmSJEnSWmDDjyRJkiRJUkPZ8CNJkiRJktRQNvxIkiRJkiQ1lA0/kiRJkiRJDWXDjyRJkiRJUkMdWHUAddR6pOyOTacNNF+TjbqOreXPzYy0GDWAedrduPJUWsn0/FbmZhaZHWC+pjNP1XRN2QYHPd6QpDqxx48kSZIkSVJD2fAjSZIkSZImQlN6FI6TDT+SJEmSJEkN5T1+JEmSpBVExA7gfuABYDEz11cbkSRJvbHhR5IkSerNczPzW1UHIUlSP2z4kSRJkiRNPHvmSZ3Z8LOM1dw0yhtOSeNhnkr1Z56qIRL4REQk8GeZubnqgCR1ZM88aQkbfiRJkqSVnZSZd0bE0cBVEfHFzLy2fYKI2AhsBJiammJhYWEsge3du3dsZa1U9rY79gAwNzOe8qcOhrmZxZGXc+GWyx98P3PM4UC1670O5UuaHDb8SJIkSSvIzDvLv7sj4qPAicC1S6bZDGwGWL9+fc7Ozo4ltoWFBcZV1kplbxhzL725mUXO3zbenzQ7zpoFql3vdSi/puyZJ3Wwqv+SXkMp1Z95KtWfeSrVW0QcAjwsM+8v3/808DsVhyVpf333zFtNz6lh9Dbbfc+eB3uUtXqTjUqrR16rnG137BlLr7lW/Tr1BGwv/8Itlz84Tes72XbHnv3Wy9zM4tB6u1Xdc25c5Q+jedxrKKX6M0+l+jNPpfqaAj4aEVAcP38gMz9ebUiSlhqkZ96hhx46cM+pYfRwa++11upNNiqteFvlbJjfWkmvuXbdym+Pcel66TRsUFX3nBtX+V7qJUmSJC0jM78CPKPqOCR1Z888qbuHrXL+1jWU15dd5iTVj3kq1Z95KknS6kwBn4yIzwOfAbbaM08qrLbHz1CfbjDK69ta1w0uLCzs8741rnXdYbdrHJe7LnEl/dapztcZjuOpCdD7Exo6fZ/DUvX3MESVPoWkn/XYa552y8NB83Tq4OFvP6PQ67ocV552szR/R5mnDTJwno77f1W/ebp0exjn/rQXVf2v7yVPx/W0IhgsTxu0n5TUAPbMk7pbVcPPsJ9uMMrr29qvZ+x0bWPLKK5x7Pf6wzpfZziuJzX0+j10+j6HpervYViqfgpJP+ux1zwdtrmZRV42Ad91r+ty3E9UWWpp/o4yT5tiNXk67v9V/ebpMPero9h+qvpf30uejvO+C4PkaVP2k5IkNd3Al3pFxCERcVjrPcU1lDcPKzBJq2eeSvVnnkqaVNPzWx98StD0/FamKz7xIEnqbDWnkXy6gVR/5qlUf+apJEkam0lopO0U4yTEXVcDN/x4DaVUf+apVH/mqSRJkkZptU/1kiRJkiRJUk3Z8CNJkiRJktRQ43lURE2N6xrB9nJ2bDptLGUOw6TGDQ/F3op7en7rxNVBBfN0eZMaN5inTWKeLm9S4wbzVJKkJrDHjyRJkiRJUkPZ8CNJkiRJktRQNvxIkiRJ6stafqzy9PxWpue3su2OPWt6PUiaHDb8SJIkSZLUBxv9NEls+JEkSZIkSWooG34kSZIkSZIaqpGPc1/66NFO46q2XIx1VJf1tlR7XMOKsbWci085ZCjLU2fm6fDVZb0tNco8nZTvZlKZp8NXl/W2lHkqSVJz2eNHkiRJkiSpoWz4kSRJkiRJaigbfiRJkiRJkhrKhh9JkiRJPZme37rffaDqeu+qcVl6j6y1vj4k1U8jb+4sSZIkSdIkWtp42OtN8ifhoQyDWC726fmtD9a3U/3b511puro+jGAYD0uwx48kSZIkSVJDNbrhZxJaNTvFuO2OPftNMwl1qSPXXf1NwvfTKcZO3dwnoS515Lqrv0n4fszT0XLdSZI0uRrd8CNJkiRJkrSW2fAjSZIkSZLUUDb8SJIkSZIkNZQNP5IkSZIkSQ1lw48kSZIkSVJDHVh1AJIkSdJa03pK2o5Np1UcSaE9Hp/g1r9OTxFsaV+n7d93HbaBOsRQZ+POi25lDPo9NTmX2+vWy5M9Ow2bnt/KxaccsuoYuuX4akzPbx1qXtaq4WfbHXvY0EMF+1nBddvYl4unNW5uZvkNddANYOkyO62/6fmtzM0ssqFm620YOtW1xZ1d73rdDlvTXXzKIY3M027TjTJPWzumuq2vYTJPh6PfPG3q/rTbdOPanzbVcv+TzFNJkurHS70kSZIkSZIayoYfSZIkSZKkhlpVw09EnBIRX4qI2yJiflhBSRoe81SqP/NUqj/zVKo/81TqbOCGn4g4APhj4EXA8cCZEXH8sAKTtHrmqVR/5qlUf+apVH/mqdTdanr8nAjclplfycx/Az4InD6csCQNiXkq1Z95KtWfeSrVn3kqdbGahp9jgNvbPu8sh0mqD/NUqj/zVKo/81SqP/NU6iIyc7AZI14KvDAzf6n8fDZwYma+bsl0G4GN5cenAF9aZrFHAd8aKKDhMYbqy5+UGJ6YmY8dVzCDGFGe9qsO3+VKJiFGMM5BrIU8rdP67sT4Blfn2GB48a2FPB21KreVqrdT6z4eTc7Tu1k736PlN7v8rnl64CoWuhM4tu3zE4A7l06UmZuBzb0sMCI+l5nrVxHTqhlD9eUbw1ANPU/7NQnrcRJiBONssFXlad3Xt/ENrs6xQf3jG7LK96fLqfK7qHo7sO5rJgd7MVCeVr0eLd/yx1H+ai71+ixwXEQ8KSIeDrwcuGI4YUkaEvNUqj/zVKo/81SqP/NU6mLgHj+ZuRgRrwX+BjgAuCgzbxlaZJJWzTyV6s88lerPPJXqzzyVulvNpV5k5seAjw0pFqiga2wHxlB9+WAMQzOCPO3XJKzHSYgRjLOxVpmndV/fxje4OscG9Y9vqGqwP11Old9F1duBddeDBszTqtej5Vv+yA18c2dJkiRJkiTV22ru8SNJkiRJkqQaq6ThJyJOiYgvRcRtETHfYXxExB+V42+KiB8Zc/lnleXeFBH/GBHPGGb5vcTQNt2PRsQDEfGzVcQQEbMRcWNE3BIRfz/uGCLi8Ij4PxHx+TKGXxxy+RdFxO6IuLnL+JFui2tBRPx+RHyxXH8fjYjHVB1TJxHx0nIb+15E1O4JGb3+z6jSSvmk4eh1W42IHRGxrfwf/rkaxjf2bToijoyIqyLi1vLvEV2mG+u6q/q4aAjxzUbEnnJ93RgRvz3O+LSviPivEZERcdQYyxz7vr7K/WJEHBsR10TE9vL/3evHWX4ZwwER8U8RceW4y26aqo9VqzoGrfrYssrjxqpzOCIeGRGfafuN+9aRF5qZY31R3Gjry8CTgYcDnweOXzLNqcBfAwE8G7huzOX/BHBE+f5Fwyy/1xjapvs7iutUf7aC7+ExwBeA7y8/H11BDG8Gfrd8/1jgHuDhQ4zhPwI/AtzcZfzItsW18gJ+GjiwfP+7re+zbi/gqcBTgAVgfdXxLImtp/8ZVb9WyidfQ1vPPW2rwA7gqDrGV9U2DfweMF++n+/2/2ic667HfWFl+6Ie45sFrhz3tuar4/d1LMWNbb82zvwf976+6v0isA74kfL9YcD/G/d+Gfh14APm3lDWZaXHqlUcg1adQ2UMlR03Vp3D5f780PL9QcB1wLNHWWYVPX5OBG7LzK9k5r8BHwROXzLN6cD7svBp4DERsW5c5WfmP2bmveXHTwNPGFLZPcdQeh3wYWD3kMvvNYafBz6SmV8HyMxhx9FLDAkcFhEBHErR8LM4rAAy89pymd2McltcEzLzE5nZ+s5GkU9DkZnbM/NLVcfRRa//MyrVQz5pCGq+rfYaX1Xb9OnAJeX7S4AzxlDmSqo+LhpGfKqPdwC/QXH8NDYV7Osr3S4zc1dm3lC+vx/YDhwzrvIj4gnAacB7xlVmk1V9rFrRfr3y/+1VHjdWncPl/nxv+fGg8jXS/9tVNPwcA9ze9nkn+6/kXqYZZfntXkVxlm2YVowhIo4BXgL86ZDL7jkG4AeBIyJiISKuj4hXVBDDOylawe8EtgGvz8zvDTmO5YxyW1yLXsnw82ktcDvUIBL4RPn/e2PVwSxR1TY9lZm7oDjoA47uMt04113Vx0Ur6bXsHy+7rP91RDxtPKGpXUT8DHBHZn6+4lDGsa+vzX4xIqaBZ1KcsR+XP6Bo4BvnMfFasVaOVWuTQ1WrKIdbl2veSNHJ46rMHGn5q3qc+4Ciw7ClrVu9TDPK8osJI55L0fDznCGV3U8MfwC8MTMfKDq7DF0vMRwIPAs4GTgY+FREfDoz/98YY3ghcCPwPOA/AFdFxD9k5n1DimElo9wWGyMi/hZ4XIdRv5mZl5fT/CZFb60t44ytXS9x1pTb4RozpG31pMy8MyKOpvjf+cXy7Fod4hvZNr1cbH0sZmTrroOqj4tW0kvZNwBPzMy9EXEq8FfAcaMObC1aYft+M8UlK2Mvu4J9fS32ixFxKEXv/DeM69g0Il4M7M7M6yNidhxlNkHV228Nj0FrkUNVqyKHWzLzAeCE8p5SH42Ip2fmyO53VEXDz06K649bnkDRm6PfaUZZPhHxwxTdJ1+UmXcPqex+YlgPfLBs9DkKODUiFjPzr8YYw07gW5n5HeA7EXEt8AyKayDHFcMvApuyuADytoj4KvBDwGeGFMNKRrktNkZmPn+58RFxDvBi4OTyu6zESnHWmNvhGjOMbTUz7yz/7o6Ij1J06x5K48UQ4hvZNr1cbBFxV0Ssy8xd5aVSHS9hHuW666Dq46KVrFh2+8FyZn4sIv4kIo7KzG+NKcY1o9v2HREzwJOAz5fHjk8AboiIEzPzG6Msuy2Gce7rK98vRsRBFD8Yt2TmR8ZY9EnAz5SNrI8EHh0R78/MXxhjDBOn6u23hsegledQ1SrM4X1k5rcjYgE4BRhZw08Vl3p9FjguIp4UEQ8HXg5csWSaK4BXROHZwJ5W1+xxlB8R3w98BDh7iL1b+oohM5+UmdOZOQ38JfCrQ2z06SkG4HLgJyPiwIh4FPBjFNc/jjOGr1P0OCIipihufPaVIcawklFui2tCRJwCvBH4mcz856rjmVC95Ir0oIg4JCIOa72n6AVQp6etVbVNXwGcU74/h2I/t48K1l3Vx0Wrji8iHlfei4+IOJHi+HLYJ820jMzclplHtx077qS4celQGn1WUsG+vtL9Yrm9vxfYnpkXjKtcgMx8U2Y+ofyeXw78nY0+q7NGj1XX9LFllTlclv/YsqcPEXEw8Hzgi6Msc+wNP+WNs15L8cSB7cBlmXlLRPxKRPxKOdnHKH7c3wa8G/jVMZf/28D3AX8SI3iUa48xjFQvMWTmduDjwE0UPWzeM8zuZz2uh/OAn4iIbcDVFJe/De0MYkRcCnwKeEpE7IyIV41rW1xD3klxt/yrynwa1X2rViUiXhIRO4EfB7ZGxN9UHVNLt1ypNqr9dcqnqmNqom7bakQ8PiI+Vk42BXwyIj5P8f97a2Z+vC7xVbhNbwJeEBG3Ai8oP1e67qo+LhpSfD8L3Fyusz8CXl5l705VYqz7+hrsF08CzgaeV9b3xih64GgyVXqsWsUxaA1yqOrjxqpzeB1wTUTcRNEId1VmXjnKAsP9siRJkiRJUjNVcamXJEmSJEmSxsCGH0mSJEmSpIay4UeSJEmSJKmhbPiRJEmSJElqKBt+JEmSJEmSGsqGH0mSJEmSpIay4UeSJEmSJKmhbPiRJEmSJElqqP8/7VziCa5EqP4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1440x576 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x576 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x576 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trans_method_list = ['cbrt', 'reciprocal', 'square', 'cube', 'minmax', 'zscore', 'robust', 'quant', 'yeo']\n",
    "plot.trans_plot(data=data,trans_method_list=trans_method_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 模型选择及评估"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "mlcluster.ClusterScorePlot继承了pipeline,参数定义中的cls为pipeline的steps，本例中清洗、转换、聚类作为参数设置。\n",
    "mlcluster.ClusterScorePlot还可以设置清洗、转换、聚类方法的参数，对于复杂项目可以构建更复杂的管道。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 模型初评"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "开始时我们不知道有多少个聚类，假设选取聚类数n_clusters=2，选取GaussianMixture、KMeans聚类，看看效果。从下图可以看出n_clusters应该设为3。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CCDHCTqlNH8PDw43k5OTRHoYQQgghxIC2bdtWYRhGhLtjp1SAlZyczNatW0d7GEIIIYQQA1JK5Xo6JlOEQgghhBAjTAIsIYQQQogRJgGWEEIIIcQIO6VqsIQQQghxdmlvb6egoICWlpbRHopH3t7exMfHY7VaB/0YCbCEEEIIMWoKCgoICAggOTkZpdRoD6cPwzCorKykoKCAlJSUQT9OpgiFEEIIMWpaWloICws7JYMrAKUUYWFhx51hkwBLCCGEEKPqVA2uOgxlfBJgCSGEEOK0kl/VxNacKvKrmkbsmh9++CFjx44lPT2d3/3ud8O+ntRgCSGEEOK0sLughh++vocjZQ14WUy02Z1kRPrzm6snMTk+eMjXdTgcPPDAA6xatYr4+HhmzZrF8uXLmTBhwpCvKRksIYQQQpzydhfUcMOjG9lbVEer3Ul9i51Wu5O9RXXc8OhGdhfUDPnamzdvJj09ndTUVLy8vLjxxht56623hjVeCbCEEEIIccr74et7aG53uD3W3O7gR2/sGfK1CwsLSUhI6Pw6Pj6ewsLCIV8PJMASQgghxCkuv6qJI2UN/Z5zuLRhyDVZhmH0uW+4hfcSYAkhhBDilFZa14KXpf+QxctiorRuaM1K4+Pjyc/P7/y6oKCA2NjYIV2rgwRYQgghhDilRQV602Z39ntOm91JVKD3kK4/a9Ysjhw5QnZ2Nm1tbbz44ossX758SNfqIAGWEEIIIU5pCaG+ZET693vOmCh/EkJ9h3R9i8XCww8/zNKlSxk/fjzXX389mZmZQ7pW5zWH9WghhBBCiJPgN1dP4oZHN7otdPexmvn1VZOGdf1ly5axbNmyYV2jO8lgCSGEEOKUNzk+mJfun8ukuEBsFhMB3hZsFhOT4gJ56f65w+qDdSJIBksIIYQQp4XJ8cG889UF5Fc1UVrXQlSg95CnBU80CbBORVXZsOdlmHgt7H1N34aljvaohBBCiFNCQqjvKRtYdZApwlNV1mp4dAEc/Wi0RyKEEEKI4yQB1qnI6gv+EdDWCH6R4HVqR+lCCCGE6EkCrFNJ5THY/B+ozgFlhrtXgC0AmipHe2RCCCGEOA4SYI02hx0Or4TGCijdBxv+CS/eDGYv8I+Cy/4GUcPrxSGEEEIIz+6++24iIyOZOHHiiF1TitxPNqdTF7D7hevP64tg9yvg5QdmK4SkwLFPwDsIfMPAahvtEZ86CrdBYJwORq0+EJY22iMSQghxBrjzzjv5yle+wu233z5i15QM1mhwOnSW6uVbdb3VlJvhyAoITgKLDe76QE8X1peM9khPHa0NsPYv8PZX9ft2+EPIXjvaoxJCCDEa2pp63g7TwoULCQ0NHZFrdZAA62QzmcAvDBztOtAyWWH7UzD5Rji6CiZcAUnnwPX/g4gxoz3aU4fNH875KhxZCS210Fqv69Va6kZ7ZEIIIU6mLY/D7xLg41/o2y2Pj/aI3JIpwpPNYYeKI3DVozrIaiiB838CcVOhcAeEu4IqW8CoDvOU05HBmnE3FG2DpgqYdQ94B472yIQQQpwsbU3wwXfBadc1y067/nrKTafcinsJsE42swVm36eL2A1D/3BYvPSx1IWjO7ZTjWGAUvpzLz9Y+isdhNoCICQZ1v0VYqfp87LX6Pcvew0knQu+IaM6dCGEECeAly+c83XY+DDYW8DiDfMeOOWCK5AAa3RYXIXrSoHJa3THcqoyDNj1kp4aNFuhvhSm3QIBMZCyAHzDIeNCncEq2QsffAeCEqEqC257XQIsIYQ4E7U1wfq/u5IT3jrI+vzvsODbp1yQJTVY4sRyOnUABFCyR389GErpzN6rd8FLt+jPlUlnrwJj9dfBCfrcsHSYfD0UbIKJ10BYxol5LUIIIUaXly9c8gcwWXTmymTRXw8zuLrpppuYN28ehw4dIj4+nscfH35dl2SwxIlVvAueXAaLfgCrfwt3vg9x0wb3WC8/MJz6w8u/a7qwt4pDsO9NuOFZWPkTmHIjxE0fsZcghBDiFDLrnq6aqxHKXL3wwgsjMLCeJMA6WSqPQVC8br3gG9K3iL1kr14dFxirN3tOP390xjlcTgcc+xTiZkHRDogYp1f/rfoJLPwOxE4d5HWcUJsPV/xLZ6tq8vQCAbObH9mYKbrrfWAMxM3Ut0IIIc5cHUHVKTYt2J0EWCdDUxW8cR+MuRiOfgwzbtfRd3cle3QdUWiqXkkYP/P0XCFXWwArfqTroXLWwHVP6fnxuV+B9f+AsZcOLoNlMsH0O8Fk1pkrR7v74KpDR1AlwZUQQohTgNRgDUdrvc462dt0d3FPfEPhvO/Dpkf01FXK+VBxuOc5iXN109HiXTr4Oh2DK4CQJJ2xMhyQfC5EToDb34GLfgm3v3182/6YLV3Tgmarvm0o63krhBBCnIIkwBqOrf+D1b+DTf/WDc/aW9yf11QFG/4B53wNdj0PO5+Fxy+C8m5B1rHPdIPRi34Nmx7VDTSdTsjbqAO4vE06oDvVVedC0U5orob42Tpzh1NnpBLndLWkGIri3fDk5bqL+9PLoXD78V+jsVL30yo/DOsfhqJdQx+PEEKIEWEYxmgPoV9DGZ8EWIPldOpAB6C2CHLXQ+oivUx07V9g8g1g9Xb/WN9QXYg38RpIuwA++QUs/lHPTu2Tr9MrIebcD5f/XWewKo/C8zfAih/ogKL4NAgGQpJg7hf1e7P6N+AXoWvPYPhbGoSlQ/oS/Z4kntPVlPW4GDq4+s9i3aSOQa5qFEIIcUJ4e3tTWVl5ygZZhmFQWVmJt7eHv/EeSA3WYO15RXcPD03TxderfgJpS6B4pw6cDq+AuBmeg6yUBZCzDg68racAV/9OByHhrpYCXn76A7rqiCLGwJKfwHvfgqm36YzQaUHphp9BiToDt/8diBynN7m+8Fd6q6ChqM6Gg+9A9GQ49D7MuBNiJh/fNaw++v1ta9D1bl7SMV8IIUZTfHw8BQUFlJeXj/ZQPPL29iY+Pv64HiMB1mCFJMJ734C2RrjheUiaDwffhUv/AgnzoKHYc3DVIWoS3PqaXulWsBlCUvo/v/wQfPRzHZSs+SNMuUEHaqc631CYeTekXwCHP4DsdbDi+7Dsj+AdNPTrBsTAhb+AlPMg+7OhFbQ31+iVnPesgl0vQkMphKcPfUxCCCGGxWq1kpIywN/D05A6lVJyM2fONLZu3Traw3Dv8Ifw8h3684t/p7dpmftFWPd3/cc6JPHEPG/pfogcD+UHdfZsODVMo+HYWnjxRr0acMpNsOiH4DOMIGsktLfoYLjjVgghhBgCpdQ2wzBmujsmGaxBU7D8YV1PVHEEbn5Z1wClX9gVXB1bAxi6fqq2UE9f7XxBTyHuex0yr+6bLXE6dPDRcdtb1AR9GxADpXshYjyU7oGE02S60GqDi3+rs3Y5a7pWA47qmLx73gohhBAjTAKswRqztOvzpHldn9fkQlO13saleBd89luw+MDsL+jMU956vW9S+DgdYHVXX6oLrSdfp2uzxlyi2zg42vsGIoXb9Yq8+d+AHc/CLS9B8AnKmo2khNldwWBHsHgyVefqwvuOWyGEEOIkkFWEw+Gw6ym856+D567RxduGoYvhE+fpTJZfhK7b8gvTfa66s3hDe5Ne0VaVDduf0a0IVv0MCrd1nVedA+8+CDPugm2Pw/yvnR7BlSc1ebqNQ0M51BUNfL7TCTX5rsfmD/55inbCfy+A3S/r28IdQxquEEIIcbwkwBoOswUS5ugVaWarnhac9xVY9me9yq2hHExWuO8zHWg1Vfa9hjLrvfbamsDeDI+dp1tA2LrVKQUn6b2X1vwBAuJg/5s6SDkd2dtg3d908f6HP4Atjw+8AXT2anj7azoAfe9bsPsV3cJiIJETYNqt8PoXYOpNo5NBE0IIcVYa9hShUioBeBqIRjcVeswwjL8rpUKBl4BkIAe43jCM6uE+3ynFYYcjK+H8n+jMlVK68N3io7NWPkFw2d90HdKlf9W33bU36wacX1gNx1ZD0Ta9M7ijDZz2rvNqcvWKt+QFevXhNY+fvhksixfMuEMHkmYvuG+Nfg/6EzsDkufr1hjxs+Gdr8EV/9R9sfpTfhC2PqG3KNr2lJ6ijZ2qG7baArpuhRBCiBE2EjVYduBbhmFsV0oFANuUUquAO4GPDcP4nVLq+8D3ge+NwPOdOswWPV1ndgVOjrauP9gdK+U6gqrewVVbEwRG61V1Nn/wDtYZrvvXwJ7XwNHadW5gHFzwM0iYCwVbdWbmdGVvgx3PQcx0aG+EfW9A+Pe6gqzc9a5eYwW63UNoiu41tuUJvVhgy39hys16G56BhKbA1f/RwVnu57rvVek+WPkzWPhN3SD2/J9A7JQT+pKFEEKcfUa8TYNS6i3gYdfHIsMwipVSMcBqwzDG9vfYU7pNw0hqroFVP4Xxl+vmo3EzYMJyPVVmMnXdnqkKtuqAsiNT19EstLkaXr4TLDZdg7b01zDlRl2nVbgd3v4KLPiWbpGx7M8w8arjf+7malj5E9jxDEy6Di7+/dAbnwohhDirnbQ2DUqpZGAasAmIMgyjGMAVZEWO5HOd1myBOqh67lrwi4KJ1+r7O4KqMzm4Aoh3+7MIPiFw7oPwzJW6C3zKefr+wFj94RMKCbMgdrqe6huKhnIo2atr4kr36U2jJcASQggxwkbsL7lSyh94DXjQMIy643jcfUqprUqprSe8TX5LPWR9AvVlkL1Wd/QeDe1NUJWlu5q31UHTqbs9wEnVXK23EDrvuzqgyvq45/Hkc/RiguT5XdsKHS+bP0y9WS88mHm3/loIIYQYYSMyRaiUsgLvAisMw/iL675DnEpThLWF8MH3IHoSlOzWReLpF+jNg0E3+izYqjNLhdsgeuLQ/4j3p71F97na94au/Sk9oPszde+tdTarzNI1Z/XFuiYtfqZurxA98dRoUiqEEEK49DdFOOwMllJKAY8DBzqCK5e3AdfeMtwBvDXc5xoW33CImQSrfwMVh/QKtvhZXccrjuheVit/BE8v1/2oRprTCZsfgx1PAwYceAcmXq2Dq7KD0FgJVccG7vXkaIe6Yv157SD6SI2Gtia9AXZrPRxZBU1V+v7Wet07zN6mp+h6C0vTHdZb6+Cpy2D1b+F/F+smrkIIIcRpYiSmCOcDtwHnK6V2uj6WAb8DLlRKHQEudH09elpr9R92nxAdyBhOyN/UdTxyHCz+EWx6RK9S81QnNBwmk77uxz+Hd78OSefotgXtzbrH1YofwFtfgb2v9n+dwyt0V/cdz8FLN3cFW6eSmjx450FdtP7KHV19q7LXwHPXwdo/w/M3eA4QY6bAgu/oKcM5X9KZRSGEEOI0MewAyzCMdYZhKMMwJhuGMdX18b5hGJWGYSwxDCPDdVs1EgMeMrMNEufCra/rpfljlkLqoq7jZQfg01/DRb+Gva9AwZaRH4PTqafAlAmsflB+SGejrD4w9wHY/ZKevpxwpT6/dL9+TNkBPbXYIW4GNNfCW1+GeQ9AYMzIj3U4WhsgPEM3R836SBfxR03Ux5IW6Mapn/1OrxIMinV/jeJdsPaPuh5r078hb6PuLdZarwPkwWqp1/3KqvOgtfH0bdAqhBDitDLibRqGY9TbNJTsg+hMHdiEZwyv5sdh172XEmbr2q7oiTp7duhD3YbA4g0NpZB5pc5gvf1VHUDUFUHmVfrjP4tg3tdgw8Nw9WNd9WKHV8DLt0PUJPDy1ccCokfiHRi+5lrdgmLsMnjnK7Dwu/D5/+l+VElz4eD78OaX9Os7tgbufAeC4vpex+nQQVbsND1du+clHSR3bIp9/o/db47dXXuLzoD5hUNtPnj5w6EVcOPTuj1E+BioOAyh6Wf+yk0hhBAjrr8aLAmwTpSKo/C/ZZC6UNda3fIqpCzoeU5Nni7mDk3TQVjsFJ1xMZl1LdLO5+DNL8P45TqIsvrox1Ue1ZsXR02Aol2QceHAwUZ/6kt1F3qzTU+lDqdLvGHorvNvP6D3Tpx8ExgOiMyEqiO6/UJNLkSMhaOfgE+wbltRXwRjL/F83cLt8PgFOvt3z0eDb9Ow83l46wH9uFn3QPh4PTX7xIVw/k/h01/Bjc/r+4QQQojjcNL6YIluwtNh0ffgvW/CpOvd13QVbtd77CXPh6ZquPEZiBijj1Vl6/36Zt4Nu16AvA2Qdr4+FpbetU3M2GFODxoG7HJNTQbFQnMdLPuDrg0birZGvUWNV4BeKRmUoPdljJsBBdvguv9B3HR9blMFvPlFnVmafhuknt+34z3obODhFRAQq6dMj6zSq0EHCioddmis6MpEWnxg2/8g7Tw473vw/rdgxp0QdwLq7YQQQpzVJMA6USqOwCe/hEv/Aqt/r7eASV2st4cxWaGuUGdNAqJ1AHLzS7r5ZYeQZLj+aYiZClNugvB+O1x0qc7TmS6FXskXktT/+W0NOmsVEKVX+qUvGXpwBTqYCUmBO9/VKyMDY2HTY1CdA0t/23M6MG46YEBDCaQsdB9cgd6SKGUhjLtUL05ob9bB1UCd75XSezte/Dv9mMZKvRl3ext89geYeovOtk25SdfnCSGEECPk7J0irDwG+17XGwDve11vmzJQMOKJ06FvTWbdfqAjQKk4omu5Sg/A9qcgcry+L2YKfPBdWPwD2PK43ibn4Adw+5u6XmionA69DUyDa8rPLwIu/KUOUDxpa4ZPfqH3+LN469qmGXcNL8jqbuO/dVDU1qgzUHUFMOs+8AuF9f/QQV1AtK6FuujXukXDYNTkw5b/6OBozyu6pit6Us9zGit1l/bdL+ttdrwC4MbndDYtbwPEz9GbZ8dMAe/AkXm9QgghzhoyReiWEw5/qPe1i56sNxIejIZS8I/SW6z4u3b/2fmcDiJ8w3QANe8BXcgenqGPR43XmaHnrtXd26d8oKemtvwXZt4D026HyTcOL7gCHeBNuwUeXai/vn9N/8EVdNVeGQ7X6kbfgafeumeMBto3MWYqVGfrFZomC2QsBYdrReTMuwEDzN66s73ZSwdOfhGeA63Ko3B4pd5Gp/yQfq0R4/X7113RTj39esHPdUf4y/9PNy6tzNKvt6laj6u2QLJXQgghRtzZu3TKyw/8o/UUmX/U4Lq2526A566HQx/Ak5dD+WF9f3Cizki9dCuEpurgqru2Jr2pc0CMbstQcUg3HI2erKcRKw/ronbQxe6NlTpAGKjhaG9Oh57yip4C0VNh5wu6Dqk/jlawN8OcL+sic8PQgZbH53DqwvH9b8PB93RmriODV7pfP77sgH6doJuoBsaBLQBaavX74+sKJL38dP1VUwW8chdsewJeuxuOrPT8/O2tsO1JWPF9HRQaDj0t2TsoDE2F+Bnw7JUQlATjLoNZX9CbRzeW6j5iTy/XGay2pv7fIyGEEOI4nb0BVmOl/gN/32odEDUNordS5Hi94u+FG2HiVV1Tiq31+tbspffTq8rWqwgbyqF0r66JipupVxLe+JwOtG54FpY/DNc/A2GuTFdzNXz0ELz/bXjhJshZe3yvyWTWU51XPwbXPAqTrxs4g+UdpLNKmx+FrE/1lJpS/TyHSQdLr92tW0V4B+nnLT8ETyyF9Q/D40shr1sT19oCSFkM1zyu34/ejVEDonW/q/e+peuj+sso+YboPlomK/hGwN2rdCuMju9Bh5o8OLwKIsbpKcSaPD3taTLr+jbfcJ2NTJjbNT1YnaMDxJo8PdUrhBBCDNHZO0UYPREu/7ueiuq4HUjlUT3dFDUR9r+lG2iGp+sMzlWP6ZYDtflw4G3Y95bObCkFV/4LJlzu/pppi7s+9wmBhd+Gp6/Q7QzSlhz/64qZfHznO516quyKh3WAWJ2ns179BWZmiw5EMLpW6EWMhQt+poOkabfroKfDtFtgzMU6eEs7H3xDe16vvgQ2PQrJC6Fwi94L0lPLhvoSHRjP+7LuZG8LdF9n5h+px5O2WG/w3TGdCzrD1tFodt+bkHGR3oD7mWv09O72p3TAN+7SQb6JQgghRE9nb5H7UNQW6Sml5AWQ/ZneLLp3cbRh6B5Vjy3UU2L3fjz4bXeaa/Q2MolzIXstzP6CDk6OR0O5rgVrqdWZs8EEjg67zuwopaf2+muw6nTC9ifBO1hPJdYVwuz7dVPQZ6+GSdfCjmfh1tcg+dzBjdkw4OjHOjgsc21+HZLs+fy2Jt1gteP2eDmdemrYO1A3RvUJ0vfveQVeu1dntW58XgeEQgghhAfSaPRk+/zvsP8dCE7QwcNV/+5qEjqQsoP6cXXFOtPTO9vTn5Y6vX1OxkV6n8Wkc3QrgpHW0U09a7VudzD9Vlj/L1j6c70VTtEOiMoEm//IP/eJUlcEL96is4i5n+up2zEXjfaohBBCnMJkFeHJNuFKPb3kHaRXGw42uAK96TToqcfj5R2oN6p+8SZdwD//G8d/jQ4t9eAd0HXbXUdBeexUPV335pfgsr91TWkmzhn6844W/2jdoiJ2KpTs1UXyQgghxBCdvUXuJ1JIku607hehMzknQn2Jq1N5pe4xBXq669D7utFna62etmtv0Z3aq7J1vVHJ3oGvXVekV9llfapXRx79xP15xTshZ42uZdr0qJ4aPV2ZTLqVhm8YpJ6ns4hCCCHEEEkGa7S11Ol+XKmLdCuH+FkD/3FvqYd3HtRTgEU7dUH53C/qDNbYS2D+1/VKON8wXWt0+EP45FfQVK5riwbiFwFJ8+GZK/WG0gu/7f68sAy44TldY5a/UXdtF0IIIYRksEaF0wk1BfrzyizY8C946nJ49xt64+UBGZAwB1b9BHI+020fQBepj7tUNzhNX6Knu3xCdfBWm6dXNYakDHz5lhoduPmGQ02Ozpa5ExSnr11+ANIu0HsNSk8pIYQQQgKsUXHsU3jpZt0UdMUPIf18vUFyynkQOogACAVl+3Sw1N4CLdWeT60v0Q1Rb3pZbzpdfnDgy1t8dIPQe1bpffz620am4hA8ey18+AN45goo2TOI8QshhBBnNgmwRkPsdJ0deuN+mHUvHFmlm5A2lOo9+QZk6O1h5j0A53xNb/3iSdF2KNkFjeW6+3rstIEvb/OHWfdAWCpMu1Xv8eew66wW6NuO7u1RmXDe92DLY3r7n7gZgxj/CeBo19sUgW56KoQQQowiCbCGyjC6skFlx/kHvWSXbgWQvEC3dLjmcci4UHd5T5o38OO9AyHzSt2CYepNuomnJ/EzdZfztx+AeV8Bm6vnU2t9V5DUcdvvmHfrTu2rf69vOzJVJXvhs9/D0t/o/leF2wa+1omQ8zn8bxlsekSPrzJrdMYhhBBCIEXu7lVl66m6jlt3CrfCM1fBkp/CRz+Hu96HkNS+LQ3c6SgOj5uh+1WFpuggx96qj9cWQFD8ANdw7V3oldj/edmf6UAwbjps+Y/ee9Dqq5+jsRSm3Qbbn9HZp4gxnq8TOw3O+Sqs/g0s+qGu7wLdEf+eVRA1AVIX647uoyFxDqQshA++p1tGWHz0e9pYBrZg8DqOVhlCCCHEMEkGq7v2Fp2B+e8Fuj7qv+dD0S7358ZOh5n3wPvfgSk36U2I37gf8rcM/DxBcZBxgd5Xb+zFunN61ie60eXOF+CpK/QqwJHgG647rftHw8Rr9Ot67W4doJUfgkfO1QGYdYCO6EU7YP0/YOF3YN1fuqYLQQdXHbe9N10+WfI3w8F39ffi09/q7W62/Fevtjzw1uiMSQghxFlLMlgdWupg9W/1dNv4y3WwtPC7nvtYFe/UGyRPvwN2Pa/7KDntA2eePImboaf+3vwiXP5/esVf6X6dESo/pAvah5KF8Q2F3S/qTE7URL0FTeVR/XrddfFvb4W89Xq7nvxNEDNNbyUTPQnu+kBnssYu09c6lcRMhltf15m6wm06WH7uGr2n47I/jfbohBBCnGUkg9XByw8ixumNmve8AmMvhc2PQdl+9+dHTIBbXoMF39SBWM56nQlqLBva8xfvcm1vcy5sfUJnzp66DNb9TW/+nLtuaNdtrICZd8Md7+vO8mX7dMfy0r16avKLa/Xrbnc1K606Bq/eDW9+GV64Ua8SBJ1li5uuW0HETe9/M+jR4BMCyfN11/zITNj2BMTNguZKKBhEVlEIIYQYQafYX8lRZG+D+mIo2Aqz79MbOc+6p6vWqTcvH/0HvbFcT6/d9AIcWQFeQ9x/Lyxd12XFTtMBQdQEXTj+xv0w5hLdVHQoMi7U7R8sXjpL5hMMbz2gpzhveB6CYuCiX3ZN7UWM1Y1KP/qZXuEYPWVozzuafENgxt06cKzOBr/I/s+3t0JTpe4nVlc49CykEEII4SIZrA5K6Sm6y/6qgx2nXTfr9PLr/3F+ETDnPt19fda9ngOygQQn6LosvzBdl1VXCKse0nVe2Z9B3oahXRd0cAXQXAV7XtXTe96Buklpc43u9N7eos8pPwCf/w2ueFhvrVO8Y+jPezIU74LN/9EtGtY/rLcLAv1eBsdDygKIHKDw/vCH8MaXYPvT8NJtul2GEEIIMQzKcFeHM0pmzpxpbN26dbSHcerI2wTRk6Fsr1556BM8vOvZ23QwET9LB2xvPQAxU3X25qYXuoLDyiz9eWWW3vRYqeG+kuPX3gpWW9etvRWOfQZJc3VBe/QU8I/Qn79wow6IxyyDi34F/uEDXLtZTyW2NetMZH0JPHuNnja97knIvOqkvEQhhBCnN6XUNsMwZro7JlOEp7LEOfo2ftbIXM/iBROW68/Tl0DGRbD/Tbjo17r4vUNHoDXUbNxwNVXBp7+GzKsh62NIPEfXi33wHR1o5q7T9W/+Ebr2auwyHXyGpkPBJghK0NN9tfm6Xqy7xgo9/TnlRjj0AaQtAUebLvyPnw3bntL7MPoPMK0ohBBC9EOmCPtTldPz9kxSvEtvoXPt/2DTo7pW6VTh5a8DvieXwc4XdbATmgpzvwRHV+mAKmayPreuCCIn6GnC3S/qjNYrd8D739ZBWmtdz2vbAiF8HDx5GRx4TwdiYRlw04tww9Mw98u6tYUQQggxDBJgeVK6T/fB2vkCPHER5G0c7RGNrJSFcOurMPFquHuFrjs7VThauxYPtDXoj8qjsPavcOUjULhd9+UCSD1Pd7XvmPZMmAOtDTozd+43dUDVXXuzzmzZAqC5Wm9sHZ4OaYt1sDXmIt1yQwghhBgGmSL0JGKc3lrmzS/CzHt1rZInDrtehaeU/vxUa2HgSVCc6zZ2dMfhjk+oDvzyN+mvwzPgnpUQkqRXVAYldJ1bsgfamuCqx3SQFZwIE66ANX/SmS5bt+76JpNeUHD3Sn2u6TT5XgkhhDitSJG7J2X74cnLdcPNrE/g9rchwU0tlNMB257UPaZMZmgo132nTpcgayS1NugWE4nzurJJXgN0iPfEMHTA2nHbH6dDF6oHxenmrBYv3Zqhrggixw3t+YUQQogBSJH7UASnwFWP6mxJ3gYI97BPn8msp5Zevg0w4Lqnz87gCnSrhJdugYyL4ehHcOe7XbVSx6sjqBrMCkaTuSsb17FtD+hWFKADLf8oPe1oC5J9CYUQQpxwUmziiZeP7qXk5atX3PkEeT7X0aoDAWUCe4v7LWjOBtET9XTqvtd0QbqnbYZOpuZqeP1+vS/hu9+E/W+M9oiEEEKcBSTAGi6nE9oa4don4fpndC2Q4RztUY2O4t2w4xndpHTzo1Cyd7RHpNs4nPMAfPBdXauVdO5oj0gIIcRZ4CydyxpBJhNMublr5ZnTefauQoufAfd+pPtnJZ4zen20umuqhh3P6a2BKg5B4VYISRztUQkhhDjDSYA1EroHVGdrcNVhtJuU9uYbAjPu0DV01bl6ayMhhBDiBJMAS5z50i/Qt8GSuRJCCHFynOXpFiGEEEKIkScBlhBCCCHECJMASwghhBBihEmAJYQQQggxwiTAOh4N5bDrBWgog10v6u1ZhqK+BMoOQHMtFO8Z2TEKIYQQYtTJKsLj0VQBa/4Mn/1B738XNRECoo//Okc/gs//T+/ZV34Qbn4JfIJHfLhCCCGEGB2SwToeQfGQthiqjkHqIghKGNp10i+E9mbY/iQs/qEEV0IIIcQZRgKs41GVAwVb4bY39DYw1ceGdp2jq8Big2m3w6e/geaarmMle8DRDiX79BY8QgghhDjtyBTh8YiZBLe+Br6hEDNV3w5F+hK9dUtgHNTkdGWwqvPg5dth8o261uuS38OYpSM0+GEq2glefnoj6/YmiJ062iMSQgghTlkSYB2vjqDK4qNv25vB6gO1BXoKsaYAAmP73zInIEZ/APhM6bq/tU4HVw2lMHYZRE48Ma/heDkdsO8NyPoUMCDtfIieBCbzaI9MCCGEOCXJFKEnRTvg4HtQcRT2vgYOe9exwx/CZ7+HY5/BB9/XKwKfvAx2vQQv3gxZnwztOZurYOvjsOcVPR1Z5lphWLJbZ45OBqcDyg7qz0sP6FuTGSZdB2X7oGw/TLpegishhBCiHxJgeVJXDK/eDc9cBUc/gbb6rmOBcbD7ZXh6OURNgLB0mP81eOM+8I+AuBlDe87AeJ39aq2DMRfCK3fB2r/C40uhdO/IvK7mamiqhrZmqC/uezx/Czx+AWz8t74t3aeDrp3P68Bq0vWw8zl9nxBCCCHckilCT8LHgF8k1ObplYNOO2SvhdhpUHEEWmvBFgA1+VCVDVufhKRzIWedzjilnje453E6wXCA2QqNZRCZCRf/Hna/AjPuhI8fggse0lNyI2HLE1CTB/6ROsBa9iewencdj58BU26CD78PF/4SIsbroGzul8Dqq89pb5IMlhBCCNEPCbA6OOxgtnTdluyGlIWQfr6eIvSLgOev17VRQfGw5CFImgfZn+lgZfEPIGEuFG7VGa3B2v2yDtaCE/W05NJfgk8oYMDTV8A5X9N9t9IvOP4gK3sdhCTpxqbegRAxFsYtg/8u0SsU71nVM7gCKNwG25+GqbfAmj9AcALsexOW/x94B7lOCju+cQghhBBnGQmwAGoLYf3/6aBiz6swYTmMX66LuX2CIXUxmL301/tehyv+BdNu0Y+NdhWij71E32ZceHzPHZwAzz2oi+Wv/g94h+j7Y6bBHe/q6cbxl+tM0vFoqYXNj+nmqOUHdRYsYiwc/Ris/no6cu/rED0ZGisgfwMkL4S6Irj5FQiI1VOhH3wPLv97t+BKCCGEEAORAAt0+wF7G/xnEYSP08GT2dLVPsE3FI58pOuglv0JPnoIkuZDaPLwn7u1Dgyn7ovVXK2nIs1WsNogYZY+J2H28V/XOwhm3aPrxPwiIWWRvj9pHiTOBZu/3vrH6g2NpbpY3ydEvxfXPgHFu/RUYGiangKtK4bAmOG/XiGEEOIsIAEW6ADHaQdl0rfuCrhTz4Pb3oTQVJ3R6h5cGQYo1XVrb9PTbFGZUFcIXv4w9mLPz738n7q4vWz/yK0WbKmDz/8Oi36op/2OfqQzWGFpUJ0LJi9IWaDPDU7R06H7XoeF39GZq8YKXYc18Vq9YjIsTQIsIYQQYpAkwAJwtOos1X2f6X5P9pa+55itOsgACO9WY1WdCzuegcnXw+5XYdI1EJICjjZ45kp9znVPen7ucZd2BWZJ5+jbkeAdCJf9Bfxj9DShYcDbD4Ay64Dr0j9BWKo+t/Kwnia95TX4+Be6JUPiHFj6W3jtbr21T9K5IzMuIYQQ4iwgARbopp9LfqpXxkWMO74Vcsqsu5yv/4cuQp9yvQ7G/CJ0oGb1Be/gAa6het4OpPIYtDXo4vqa/K6pxN5CkvVtUJy+nfcVeO5anYXrHjAlzoWbXgC/MIibBr5heqXhih/Aud+Arf+D3HWnTld5IYQQ4hQnAVaHjqCqd3DVWAl1BXplYPkhiJuu7y/crgOVukIdWGV9pNs2mL2heDc0lMANz+meU9U5uvZppBxbDZ//FaIm6inGa/4DtsD+H9NUpaf6zv+JLnQ/thqm3tR13M+1MtDXdRucCDe/DJHjIfPqrmBNCCHEKWFXfg2fHixjW1418SE+LBobybkZ4fh5jc6f9tLaFrbmVlHXYicu2IfpiSH4e5+9YYYyTlaH8EGYOXOmsXXr1tEeRk8H3oF3HoTMq/RWMXe+pwvSX7hRT7Flr9P9qjIuhK1PwMx7dOYnYozeGHrGXTD9jv63zjletQXw2GLdN+vO9yF5/uAeV3VMrx6sLwHfEB0QCiGEOO18crCMLz27jVa7s8f99y1M5cELMvA9yUHWmsPlfOPlnVQ2tHXeNysphF9dNZGx0QMkAE5jSqlthmHMdHdMOrkPJHkhhKbAlv/ARb+AwGgdnCz6vu5ubjLpxpwxk+GSP+gNoc/7Hmx5XK/SG3PxyAZXAIc+gPAMmPtlWPtnaK0f+DGgM24WLwhJHJngqrFC3zaUD/9aQgghBqWsroXvv7arT3AF8NiaY2zIqjyp4zlQXMd9z2ztEVwBbMmt5idv7qWhtf2kjudUIQHWQLI/072h5n8dVvwI6kqgcAd88kudnbLY4Nin+lyLFzTXwpo/wsTr9CbQR1Z6vnb5IchdrzeIzvp08GPKvEr34lr8I7jk96OTiSrbr/dfPLwSnrtOb7EjhBBiRLTZnZTXt9LQau9zbEdeDWX1bW4epa0/emIDrOyKRnbmV1NQ3QTA50craGnvG+wBbM6pZkdezQkdz6nq7J0cHayU8+CWV3Q/qInX6oDqw+/rIOfIKljwHUhb1HW+TxBc8HNdw1Rf5OrK7kHxTnjvO3o/Q+9gXWzf0UYhvJ9u8H7h+gPAljECL3IIQlJ1du7563QGL3zM6IxDCCHOIO0OJx8fKOWFzXlszq4mOtDG7eckc+mkGCID9c4bjW6Cru4qGlqHPQ7DMGi1O7FZTCjXAqycikae3pDDsxvzaHM48fMyc++CVKxmuGJqLCalaHc4sbhmbVbsK6G53UFhTfOwx3M6kgBrID5B+gP0NCDo6cFnrtSF3ykL9YrB7uKm6Vu/blvKtLfClsd0YXp1jm7qmXiOLk7P2wBXPgJvfFF3kd/zMtz+tl4leLwaynXw1Vyjm4ZavI7/GoNRkweH3tdF8Ec/1vVdHa9bCCHEkLy0JZ8fv7m38+vsyiZ+/s5+Pj9awR+unUyon42kcN9+rzEpbug7b7S2O1h9qIw3dhaxr6iWzNggrpoay9TEYL73+m42HavqPLexzcHfPz7CheOjyKtq5FBpQ+cxq1lx85wkXtqSR5CPdcjjOZ2NyBShUuoJpVSZUmpvt/tClVKrlFJHXLchI/Fco66pGj75Vdfmx0c/GtzjWuuh8ii8cofOgDVXQ87nEDkOLvgF7HhWZ7I+/jmc/7OhBVdNNfDO12HXC7Dyh7qn14niH6lrze54V09TShNSIYQYluzyBn713n63xz46UMZ6V23VxLggLp/s/neuv83CgjHhQ3p+u8PJY2uPcf+z2/lwbwn5Vc18uLeE+5/dzpOf53KsrNHt41YdKGVir6Cu3WHwwqY8rpwax8ykM+PP//EaqRqsJ4Hercq/D3xsGEYG8LHr69Ofbwgs/wcs/jFc91RXbyhHu85MAVTl9H1cXSEEJeg9Ai3eOoM1/jK9z9+8L8O8B+DAu3oPxLV/gvqyIYwtWE/XvfklyPoM4t0ubOjS7krbtjcd/3P5BOumqn7hMPFqCIg+/msIIYTotLuw1mMtE8CWbJ09slnMfPfisVw9La5H+8S0cD/+e8fMIa/a21NYy59XHnZ77JE1WZyb4Tlwa3NTcN/mcJIQ6kNEgPeQxnO6G5EpQsMw1iilknvdfQWwyPX5U8Bq4Hsj8XyjLmqCvo3oVneU9Sms/LHObK35E9z9ga7D6uAfDaX7YMlDUH1M99ay+esPgJgpcOsrEJoB5QcgYAgZrOZaOPyBqz9Xkd47saP7fG81+bDqZzDnPp09m3LT4Ns9CCGEGHEOZ/9tk7oXvCeE+vGHaydz+znJFFQ3EeBtYWp8MEG+QysLaW13sGpfqcfjhgHOfto6KQ+Nsp2e48Uz3omswYoyDKMYwDCMYqWU24hBKXUfcB9AYmKiu1NODwmz9R5+7z4IV/67Z3AFUF+g662KdugO7xnLeh4PiuvquO43xEDHFgBjl8GCb+oNmjumGRsr9HO3NUPhFt0YtfyQHvMTSyF2hmSghBDiBGtpc/B5VgWfHS6noLqZyXFBLBobydTEYADGRgdgUuApzgrx88LucGIx68kni9nE1IRgpiYED3tsK/aVkF/d/2yG083A/LzMLBgTQVqEP+ePi2TtkXLaHV3nxQSfndkrOAWK3A3DeAx4DHSj0VEeztAVboO89Xpl3ed/11vRhHQLsiIz9ebKyQv1tjMRJ2D1n8mkpx1Bd54HaG/R+wuGZUBtvt6OZ+MjkLtWbwTtHaRXO7bUjvx4hBDiLNfa7qDN7sRqVvxzdRb/+ORo57FPDpbxr9VZ/OuW6VwwIYrUMD8unxzLW7uK+lwnIdSHI6UNHC6tZ0Ls0IvY3Wlqs/P4umzSIv37PS+2V7C0aGwEPlYznxws48O9JQT6WLhsciy5lU1sz6sm1M/K3JQwD1c7853IAKtUKRXjyl7FAEMoKjqNRE6AW16G6KlQuLUrG9XB6g2TrtWfT7z65I3L6q03on7yUvDy16sVNz0CUZN0husLn8CRj8B8glYbCiHEWaiktpkV+0p5cXMeFQ1tnJMehs1ixt9m6THV1+Zw8p3XdvG430wKqpuJD/Hm9nlJvLWziNrmdswmxYKMcPxtFt7dXcxXFvfTwmeIKhva2FVQi9lkYlx0AAdL+javnhQXSFl9Gz+7bDzPb8kn3NeLqsY2dhd0/ee8rtnOGzsKWTQmgmkJQfxg2XjiQ/tf8XgmO5GNRt8G7nB9fgfw1gl8rtFRV6xXFTZXA4bumeUTBOlLjm/D6P50ZJZa6vQk+PFqb4HDK3SBvTLrLNuV/9aZKy8/nema+0W9QfWxz/Q2PIdXDu25hBBCUFbXwndf283P3t7H0fIGQvys7Cmo5bXtBVw9PQ5Tr3Kl6sZ2nt6Qy9de3Mk/Vx/jk4NlPLA4nSumxnL9jDgiA2wo4KppcX2ySCPBx2oi0NvC9rxqEkN9WTQmonOMJgWLxkSwMCOC9/cUs2hsJJH+XkxOCO4RXHW3+nA537hwLLPP4uwVjFAGSyn1ArqgPVwpVQD8DPgd8LJS6h4gD7huJJ7rlOF0wIZ/6vYLyqS7tl/4CzCPYFKwqRLe+zZMuk63g0hdDBMuP75rWL114Df5BmitA3srpC7SH77dVoRUHIbXv6Azcb4REDejZx8vIYQQg/LZ4XLWHqng8skxKKU4WFKHr83M8imxVDS0Mj89nLVHKno8pnuBe0F1M39eeYivLE5jW24Na46U4zTAy2wi3N/GXfOTiQ32GbHxFtY0s3hcBG/tLGbl/lIiA2xcNjkWwzBQSmGzmHhyfQ63zEkkIdQXL4uZogGah2ZXNLBwTES/55zpRmoV4U0eDi0ZieufkkxmmHIjPHae/voLn45scAW6C3z6BfDiTRCUCHPuH9p1Mi7oe19gbM+vY6dBQJyuJbvhOQmuhBBiiFbsK+HaGfGs2l9KTVPXPnx7C+tIj/TnhpnxfQKsuBAfZiWHkFXeSFVjG9MTQ3h3d3GP5p1tDif/WXuMguom/nz9lBHZ0NnpNHh2Yx61zfbO6cGy+lbedtWBpUf4kxkbwFXT4ogM8OabL+9kakIwOVX9F8TXNrfz9s5CxsUEMCbqzN3suT+jXuR+2nI6YN/rrmJypZt6Rk4Y2SCrpRYKtupO8U3lurVCxNjBPz5nvd5ypyZPZ6tCkz2fm7dJt3c45wFY/zAkzu3ajkcIIUQnwzDYllvN50crKaltJjM+kMlxwUyKC0IphUlBQVVzj+Cqw9GyBopqW7BZTLTancxMCmFCbCCfHSqnqqmNyXFBRAV5Y1Kw4Zj7PQU/2FvCbfOSOCdt+L+jC2qaeX1HIQ6nwdzUUK6eHkdVYxuGAWH+XlTUt3JRZjQ/fWsvlY369YyJ8mf5lFiP11QKsiua+MuqI1jNiq+cn87d81MI8D67OrpLgDVUJjOMvVRP36GgrWHkM1hWH4ifoWukSvfqJqeD1VQFq38DXgGQv1F3W+8eYBkGHHhHB2C1Rboo/4p/gF+kXgkpwZUQQvRhGAavby/kp2/tZdmkGGqb2/nPmmyCfaxcNCGK62clck5aOD9/131HdoD3dhdzw6x4dhfUYTEpnt6Q23mstK4ck4KvLcnAYlLYPfRsOFxSPyIBlsPp7Jye3OjaBifQ2wJKF60DZMYGdQZXAOmR/qzYV8I5aWGd3eW7u2FWAh/v1+va2h0Gf111hDA/G7fOTRr2eE8nEmANR/yMkbtW0U6IGA8VhyA4SRfLW2ww7VZ9vCNz5WjXBekdtx2cTjjyoW4HUXlUbxw9/0F47hoISdF1WN21NULu565te6pguStrBX2nD4UQQgBwoLiO77++m5vnJPH8ptzOnk+5wK6CWnbk13DZpJh+1wk1tNq5YHwUqeH+PPRO30DMacBT63M4NyOc1YfK3V7DyzIya9RCfb348qI08qua2J5XQ2FNM3UtXascz80I54O9xT0eYzGZ2FNYx/TEYK6dEc+m7EqKalpIj/BnSkIwdoeT9l4dRv/56VEumRhNmL9tRMZ9OjiRqwjFYNUWwou3wKe/1ptI537u/rwD78Lq3+nVfit+pDd07tBcA7tehOdvgBdv1kXrn/0ezvsB+EdA1sc9r2Xz14XudYV6T8WozBPz2oQQ4gyyNaea2SmhfLi3uEdDzQ4fHSgjwMdKdKDnQGJWciizkkLZmV/j8ZzqpnYCPUypBflYCLBZeHJ9Nv/45Ahv7SyktLbluF6HYRh8dKCULzy9lX+tzuKd3cUkhPpw46wELK4lhCYFV06NJafSfb3V9rwaXt1WQGSANxdNiMJsUry8NZ/SulZ693Uvrm2htL71uMZ4upMM1qkgKA6W/lpvBJ2yUDckdcfRBtuegHV/gWm3Q9EuiJkEFUcgKB4yr9bXCEmF2Olw1SMQGA9TbtAF89211MO+N+GKf0HJbijYApHjT/hLFUKI01ltSzthfjY+r3NfHwXwxo4CbpuXxB9X9N3Xz6RgdkoI/1qd1SNT5E64f9/+hCG+Vm6ek8jXX9rZo+N7UqgvD98ynUm9Nl325KMDZdz3zNYembaNx6rYlV/LldPiOFxaz9eXZJAU6oPVrHoEk3anE2+rqXPfxG251T2uHRFgo7pX/ZmX2YSf1wi1LzpNSAbrVFBbqDNS53xN71eYvdb9eb6hurjebNUZqE2PwDsP6mnAkr2w9QkdMEVP1FvihKWB1QahKXrKsTvvALj4tzD1Zlj8Q93GQQghRL8SQnwxBugTWNHQxk2zE3lwSYauZ3KJCfLm2xeN5dmNuTy8+ihpEX4er9GRRbp2RjxT4oOI8LcxNzWUe85N5V+rs/psp5Nb1cRP3tzTo4mpJ42t7Tz8yRG305jN7Q5MCp7/whyWjI8iPSqQO89J6XHO6kPlXD7ZfSlJWoQfpXV9s2lLJ0YBZ1d/RclgnQqC4uCGZ3UGadJ1ugbLnboimHSDbqmQvxGm3QIv3QLRUyB+Jlz9H92dPeMi3Uh0IL6urNZgzhVCCMGc1FC25FT2yep0tzAjglA/Gw9eOIa4YG+yK5owmaCxzc6fVx3C4SpPKqltIcLfi/KGtj7XWJoZzes7Cqlpaic13I+0SD8yYwI5UFznsb5rZ34tO/NrODe9/+L3nIomdnloEgrw7u5ivrN0HB3lUvcuSKGx1c4LW/IwDGhqc3CgpJYfLxvPK9vyOVTagI/VzHUz4nGi2z50lxSmu7k/vymfry5Jx992dqwmlADrVBE3Td/GTPZ8zoQrIGm+LkKPmwEv3wZLfgZ7X4fsNTDxKn2e/9nd3E0IIU6UmCAfbpqVRFOrgzd29t0zMNDHwuJxkQC02h3849Ms8jz0jHpndzE/u2wCH+wtZnOOnmbz8zKzdGI0R0obOts8HKto5FhFI6nhflQ29l/HVDGIOifVu5V8L2alUN1OiQr05hdXZHLDrASOVTTgY7EwJTGImCAfbpidQHl9K75eZt7bXcyH+0r48nlpHCipx2kYhPt7UdHQxju7irFZTIyNDqC13UltSztxwd7MTgkjKvDM3BBaAqzTiZef/gCIHAs3Pg8hSTrwCoge3bEJIcRZYmJ8EN9eOpbIQG+e2pDTWYs0IymE7188jvExurGml9lEbLC3xwALYGdBDaX1rSyfojunj4kK4KUt+RS46ZTe3O4kzK//VXgRAQOv0ksN82NeaigbXG0ZerthVgLhvVb7WcwmpiQEMyUhuMf9Ad7Wzv5WIX5eFNe2sDWvmv1FdZhMXa0efKxmrpsZzw9e30OrvWuFYUKID/+4eTpTe133TCAB1uks3LXpZ1ja6I5DCCHOMnEhvvxg2XhunJ1IQVUTvjYz42MCe3RXV0pxzfT4zv5SvU2OD2JfUR25lU3kulbqKVXMlVPjKNhR2OPcMD8vqhvbyIjyRyn328XOTAphasLAJR/eXma+vDidrblb+kxzhvpZuXJq3IDXcGdWcihT44P46GBZZ9DZ4eKJ0Ty/Ka9PX6/86ma++dJOXrl/HmGDCA5PJ1LkfrrL2wT73oLS/bDzed0fSwghxEmREu7HgjERzEgKdbt1zZJxkVwxtW9BeIivlfExgRwta+hxv2H03JcQwGpW/OzyCfxg2Ti+en4Gf7hmcmcRfIe0CD9+fkUmfoOsb1qQEcHTd8/miimxmBTYLCbumJfEU3fNZmL80OpyE0J9uW1eEsE+fVc/GgYem6Yeq2jknd19p1sHq7ndzs68ajZkVQy4R+LJJBms011zFbxxH3j5w6RrYdxlPRuQCiGEGHHFtc1syKrkYEk9XhYT0xODmZ0S2qeAO9TfxkPLM7lwQhRrj5RT09hOcoQf+VVNvLw13+21Y4O8uTgzivzqZuanh3HRhGhmJne12rluZgKT4oPYklNNQ0s7CaG+zEkJJSLg+GqZ5qWFMzsljO9dMg6Tguig4W8gPSc1nFvmJPLnVV0tKiwmRYvd0e/jdubXUFTTfNybWG/KruQvKw+zKVtnCYN8rDy4JIPrZsWPejG9BFinu+BE8A6GhhJd+O59dm6qKYQQJ8vh0nq+/uIODhTX97j/+pnx/HDZeIJ9e2ZwQny9uGxyLJe5Whus2FfCo58d83j9pjYHX1qczpT4YI/njIsOZFz08H/fm03quIOagVw9PY51WRVsck2N2p3GIHpgKfYX1R3XWPYU1HL3/7bQ2NYVvNU2t/Pzd/fjMAzuXZA6lOGPGJkiPN2VHYSJV+s2D1kfQ7PnpbdCCCGGx+k0eGxNVp/gCuDlrQWs2Fc64DVmp4QwIynY7bHM2EB2F9Zy71NbKaj2XBx/KosL8eXvN0zlj9dOZmlmFAsywpmXGobZw+rFuGAfyupbcPTaXmcgK/eX9AiuuvvbR0fI72dxwckgGazTXeaVMGapbjyacp5ksIQQ4gQ6UlbP69sLPR5/fnMuV06NxWb1nLEJ8bXxx2un8LePjvDu7iKchs4knTcmAqXg4wN6o+QNWZVcN9N3xF/DyRAd5MN1MxO4bmZC531VTW384cNDPWqxwv28uGVOIkfK6vH1smB3OLGYB879OJwGH+4r8Xi8odXOsfIGEkJH7/2TAOt0ZzLr4AokuBJCiBOsrtnep4t6d/lVzTS3O/oNsABSI/yZ6cpiOQ0Dk1Ksz6qgolvT0cLqU6dgeyRcNCGK3MomGlrt+FjNmE2K0roW/rDiEABv7CjiO0vHcu+5KQO+fyYFgbb+Q5iR2hB7qCTAEkIIIQYpItDWYx++3qYnBuM/wB/+Djarhbd3eV49F+Q7skXaFQ2tbMmuory+lTB/G7OSQ4g8iU0+k8P9uXVuEq9ty+doWSOrD5f3OeePKw6RHuHH0okx/V5LKcXV0+PZllfj9nhapD8TYkY36SABlhBCCDFIyWF+3HtuCg9/muX2+PIpsYOa4gKYlRyCzWLq0Xizg0npvlLD1WZ34DQM9hfpwvz8blmxyAAb/7hpGnNSw4b9PKC3/tl0rJKcykZ8bRZmJ4cyMS6oR+3V+JhArpoez+X/WEd8iA9zUkJpdxgYhoHVYiKrrIE3dxYNGGABLB4XyZzU0M5i+g5Ws+LHy8YT5Nu3XcTJJAGWEEIIcRymJ4WyMKOWNUcqOu+zmhVXTosju6Jx0NdJjfDnr9dP5Wsv7uhRl2RS8IdrJpMZO/QMTG5lI6v2l/Ly1nwmxgay7mglZb220Smrb+X+Z7fx9lfmkxjqeePpwdhXWMtXXtjR4/UrBT+9bAK3zk3C2i3orGpoY0xUAAmhvrzWq55tUlwQ3hYzrXYHNkv/04SxwT785bqpfHSghBc251Pd1MaFE6JYPiWW2SkjEzQOhwRYQgghxCAZhsHbOwvJqWzi6ulxtNmdmFwb963YW0JLu5PLJseSFuk/qOstmxxDXIgP67MqyKtqIjbIh3PSw5ieGIJS/e8Z6EluZSNfenY7+4vrAMiMDeoTXHWoaWpnY1bVsAKspjY7v3hvf5/g0jDg5+/sJy3Cn4VjuvbIDfX3YlJcEK9sK+hzraNlDSzNjOLzoxXYLGYyYwP7tL3oLi7EhzvOSeHGWYm0O41BT8+eDKfOSIQQQohTXHO7gy051RTWNHvcY7CkrmXQARbgdo+/4Xh/T0lncAVgd/Tf/qC4dnjF9LsLavtM03X38YHSHgFWSrgfB0rq+pw3PiaAcdGBPPzp0c4at9RwP35y2YTODbQ9sVnNnGob7UgfLCGEEMKlsKaZnfnVHCtvcHvcZjEzMzmEzNhAj9mSQO/R6yDe2GrnuU25nV9HB3ozLjqQyyfHkBTmvmVBiN/wapUqu618dOdwac+eYc1tDnIreganNouJzNgg3thR2GMBwbGKRu5/Zhtbsj0HcKcqyWAJIYQ465XXt/Liljwe/ewYDa12rGbFjbMSuHN+CmkROhtV1djKJwfLKK1tobnNwTlpYQT5WHlvTzFNroaXSzOjGRcTMGqvo83hpNE1/qumxVNQ3cSfVh3CMGBGUgjz08J5c2dh53itZsWcYdYrRQZ6zh3FBnlz4YQo9hfVEh/iS6CPFX+bhXHRAWzJre48b9HYCD7c676vVZvDyXt7ipiV0rfov7CmmayyeiwmExMGmE482STAEkIIcVZrszv5y8pDvLCla2/AdofBMxvz2F1Qy39un4nVYuLn7+znrZ1dbRWOVTRiMSm+uiSDrLJ6vK1m7pqf3KOg+2QL9rGyNDMah2Hwzq4imtu7Op1vy61mV34N189M4PnNeVhMir/dMJWx0cMLCCfHBbFoTDirD3cV/ZsUXDMjnvyqJn7x7gEAxkb585Xz07l4Ygw3zUnsEWB5mU00tNo9PsdHB8r4/iV2vK06bGlqs/PK1gL+vPIQdS36cSnhvvzo0vFcMD56WK9npMgUoRBCiLPansKaHsFVd7sKatmQVcnnRyp6BFcd7E6DZzfkUtts58O9JXx0oIxyDwXlI6Wl3U5Lu/stYpRSXDMjjrK61h7BVffxHimr57dXT+StB+ZzqWt/xOGwWc38YNl4JnVb9bh8Shwf7ilhY7farEOlDXz1hZ28t7uIpZlRfHlRWo9x9yfMzwuLqStkeWNHIT97e19ncAWQXdHEF5/ZzvqsCneXOOkkgyWEEOKsdtDNvoLdHSipp6KfoKm8oZUgHyt1LXb+vPIwuZWN/PrKSQN2Iz9e+4vr+HBPMa/vKMRiVlw3PYGlE6NIj+yZgYoP8eXzo56DjC051fz6qkmMidKPq2xoZXN2FYfL6vG2mJmWqIvuB2qT0N3Y6ECeumc2W3KqKahqIruikXoPGak/rTjMwoxIvnHhGC4YH8nO/Bq8rSbyqhrZme9+P93rZyZ09hcrr2/h7x8ddnue3Wnw+vYC5qaEYfKw9+HJIgGWEEKIs5rF3P8fYqtZUdXUfyG30+jqY/XqtkKum5lw3LVNTW12sssbcRqQEuHXo4h+d34Ndz65marG9s77/rjyEC9syeW/t89iXK+u5QN1eOg4nFXewLdf2cWOXh3RH1icxpcXp+PnNfgwIdTPxtLMaBpb7Vzwl888nldQ08zR8npmp4QxPSmU6Um6tio1IoB7ntzSZwPnBenhLBnftYowr6qJsnrP349V+8uoXdY+7OL94ZIASwghxFltcnwwFpPq0eyzu6kJwQR4W/nkYJnb42aT6tGtHOBAUd1xBVirD5bxj0+Pss1VlzQ5PoivnZ/BkvGRGAY8uSGnR3DVoaC6hde2F/CjSyd03hcd6M21M+J5YbP7ac9FY8JJCvPF6TT49+qsPsEVwD8/zWJcVACXT40b9GvoYFI6KO2P2dS3Qmluahgv3T+PVftLWbmvhBA/L66YGsvisZE9tvTxHiCzFuhtwTbK+xCCBFhCCCHOcuOiA/j20rH87oODfY5dOS2W2cmhxIf48M9PLdQ2d017mRQsGR9FYqgvlQ2tXDk1juZ2Ox8dKOsTcPVn7ZFy7n16a48Ab3dBLfc9s5X/3jGLlHBf3tyhO56fkxZGZIA3DqcTs8lEXlUTz2zM5QsLUjuDEKUU181M4O2dRX2yQV5mE/cuSOVYRSNZZQ28vr1vs88Or20vZNnk2ON6LaV1LeRXNfGFBan8d102uZV9e4WNjwlgbJT7wvqJcUFMjAviwQsy3NZlNbbZ2ZpbxfTEELbnVfc5vmhsBJPjgnjwpZ2YTYpFYyJYMCaC2GCfQb+GkSIBlhBCiLOaUoq7zkkmLtiH5zfnsSu/hoQQX26bl8SySdEE+FgZ62Pl8Ttm8dsPDrIttxqTglvnJvHWziJW7S/tvFagj4WbZycyJSGY/KommtscRAXaPO6L1+5w8syGXLfZM6cB/117jJ9ePh4DuGVOIp8eLGN9VmXnOemR/iybFENbr2ai0xNDePqe2bywOY83dhThNAwumRjNdTMSWHekgv+uy+biidF4SNoBcLCknpZ2B36D6I7e2NrOa9sL+fvHRzr7Ys1KDmFuahgvb82nYwbVbFJ8+6Kx+Hv3vabTaXCgpI4jZQ14mU1MiQ8mLqRnYPTuriJ+9vZ+bpyVwNGy+h5F7ssmRbO3sJbVh7o2kf5gbwnTEoP52w1TSQob3nZAx0sCLCGEEGc9m9XM5VNiuWhCFHUt7fh6WfoEFjOTQ3nmntnsL6qjtrmdb768i9rmntN2dc123thRSEaUP79+7wCtdidpEf58eVEqyybF4OOqabI7nFQ2tFLbbGdltwCtt/VZlRgG3DE3mTd3FVLT1PP5jpY14HA6sbqyTO0OJ3sKa8kqa8DHy8yDSzJ48IIxOA3dk+qPKw/x6JpjgK7D6m9qdFJcED6DLNR/YXM+v3rvQI/7tuRUc6i0nmumxfHWriIuzozm+lkJLMiI6PP4qoZW/rk6i/99nt0Z9AXYLPx8eSZXTovDZFJUN7Xyr9VHAXh5az6XTY4FwyCrohF/LzNWs4m8qr5d6Xfk1fDGjkIevGDMoF7LSJEASwghhHCxWc1E9BNU+HpZmJkcymvb8vsEVx0aWu1sz62h1a6zSlnlDXzrld3UNrdz1/wU1h4p54XN+Xx0oJTLJsf2G+SYFPhYLUQG2voEVx2yK5rYmlvNjCT488rDPfb487dZ+PVVE1k+JZYjZQ08sS6789i6oxUsHhfZIwPX3dXT4zpX4h0rb6CioZUQXy/SI/17TN/lVTby11XuV/XVNdtJCPVl7XcXExHg7XG68fnNeTzebWwA9a12vvXqLkL9vVg0NpKyulZyK3UA5edlwWJWOA2IC/ZhamIwf1t1xO21AZ5Yl82tc5MI9z95G+pIgCWEEEIcJ0+bJ3dwOPvu//fHFYcJ97fx4Es7O7M0nx4qY+GYCI8F9MunxJIQ6tvZed2TbbnVbMut7hFc2Swm5qeH8/GBMmqb2okJ9sbLbKLd4SDE18qCjAgSQ32obmxja7emn0rBd5eO5fxxkRRWN/HE5zk8syGXNocTi0lx4+wE7j03leRwPeWWVd7Yp9aruxX7SpiaEMyT6/UWPhPjApmXGkaYK9jJq2rk36uz3D7WMOCN7YUszIjA10sXr1tMiiumxvL85rzO93F6YkifadLu6lrstAzwHo40CbCEEEKI4xQX4sPFE6OpbWpnc04Vjl4ZqMgAG1dPj2N7bjU5rkLvyfFB/Hnl4R51TzVN7QT7WgnysfbJiPnbLNw+LwmzSRHk0//+hialeGpDTufXsUHeLBwTwdu7imhqc/D2riJsFhOXTY7BaRg0tTl4f08xdqfBxLhA7l2QguGExDBfpiUGkxkbRFObnZ+8ta9H8Gd3Gjy7MY8jpQ38+9bphPrZBlwxaLOa+clb+3psjj0/LYzfXzuZ+BBfimta+g3Q1mdV0tiqM2G3zEmksrGNF7fkd76PF06IYktOFfEhPhRUu9+4elZSCGEBJ7dtw+ivYxRCCCFOATkVjbywKY8/rzzE4+uOsa+wb9PLNruTD/YU8+LmfD7aX0pWeQOXTY5hfnpXSwYfq5mSulZe315Icpgfk+ODAIgK9Ca3qu+qujd2FLJ4bCSXT44hyMdKoLeFu85J5rl753T2iJqTGoqnxXw+VjMB3hbaHV2R23ljI3hxS36PzFer3clr2wsJ97exYl9p57Tk3sI6/rs2m5X7S1gyPpLJ8cFUNrTywd4Sj5m1TdlVbMnRWa8JsUEkhHhepZca7tcjuAL4PKuSV7bqNhLuCt67iwqy4eVqu3DLnER8rOYeU6r+NgsfHyzj3PRwj9e4c34yPtaTm1OSAEsIIcRZb1N2Jf9afZT1WRXkVTWx6VgV1zyynjd2FGB0ayL6ytZ8vvTcdtZnVWJ3GpTVt/LWziJqm9uZmRSCt9XE9bMSWLlfb1y8+nB5Z8d0T/VHhgFv7izkaFkDq765kE+/vYifLc9kSkJw5zmT4oL40aXj+zQQtZoV189K6BG4jY8JYJeHjuigV9bNdrNxcn51M+uPVvD2zkKW/d9a1h4ud/PoLgdL6gAI9fPiJ5dNcPv6JsQEUFzb4vbxj6/LobSuhTFRASzN9Lx/4M2zEzu74qdFBhDVa3Npi+t5N2VXce2MeLytXaGNv83CNy7I4MIJJ39/QpkiFEIIcVbbllvFT9/cy6HShs77Ar0t3DArkR+8vofUcH+mJATrLXDeP+D2GnsL6/jiealEB3nz/KbcHtmk9UcrmJ0SyuKxEaw7Uk55g/su5BdPjCYywNvtMaUUi8dGcLC4njaHk6Y2B35eFpSCl7bkERfsy/TEYLbn1ZAW4c+7u4s7H2s2KQzD6JxSK6huZlq34K273QW1PL8lD6dz4P0Bu2+lc1FmNE/fPZs3dhTw8YEygn29uG5mPBuyKll7xP22PQ2tdupb7EQFevPV89PZW1hDYU3PYGzZpJg+wVFH7RfAlPigzinK7IpGSutaOH9cJGalUErRancQE+jTmQE7mSTAEkIIcdZqaG3nV+8e6BFcgS6KfnFzHpdMjGHjsUqmJASzt7C232LzQyUNbM2p6hFcARTVtvDzKzJZOCaCVruT77y6u89jQ3ytXNhPFgf0VjKh/l48+tkxbBZT5ypF0CsVf3DJOPKrmmlsdRDobWF8TCBxIT60tDtQKLytJrLKGzlQXOdx1WKbw0lHfb7ZpFAKDA+9snoHafPTw5mXGkZtSzs2iwm7w+C1rZ4bmcYH+xDmr+uiJsYF8dy9c1l3tILN2ZX4e1s5Jy2MuSlhFNY0c7CkjuhAbzKiApibGkZMkDfFtS2kRfrT1ObsXImpa8tKOp/DZjHx3aXj+n1fTxQJsIQQQpy1duTVsCO/xu2xjgCmo3Gm01Ok4WJ3Ot1uMJwQ4sPs5FBsFjPLp8ZiNZv4x6dHySprQCm4fHIMd5+bwoRe+wm6c9c5yZTWtvDmzqLO+2wWE1dNi+O/a7OZnhRMsK8X95+Xyts7i9mUXdXj8VMTgrl9XhIvethGp3vcte5IBZdNiuGdbtmwDvcuSGGqmyyYyaQI6dZU9QsLU/n+63vcPte9C1IormmmqrGNlDA/ksP1x61zkwDYW1jL917bzceuOjAvs4nb5yVx74IU/nXLdL7z6m7a7U4+OVjGTbMTeW5Tbo/xW82KHywbR1qkv9vnP9EkwBJCCHHW8lQf1KG+tZ3pibpIfWxUAFaz6pOh6hARYHPbG+u+hamdndxtFjNXTotj8dgICmqa8TKbSI3wH/R2NFaziXMzwvH1MmM2KSICbBTXtPD2Lr0tzop9pfh6mbl+ZgKHSuv7PH5nfg1zU0Npau+biVs+JYZj5V2ZvPKGVvYU1nLdzHgsJoXDaaCA+BBflkyI7KyL6s9lU2LIr27i36uzOoOfIB8LX16UTl5VE9vzamhpdxDka+X2uUlMig8GIK+yiS89u5386q7asjaHk/+uy6aysY3fXTOJX12ZyevbC2lsc/DmjkKunBaH0wnN7Q58vfTYfI9js+qRJgGWEEKIs1aIb//tD/y8LMxybdrcZje4cmpcj15THdIi/IgJ6ls/deOsBN1xvJcgXy+P2+d4crSsnm+/vIudBT0L2C+fHEN4gI2Jgd5EBXqTGRPAXz/23HTz1W0FfOOCMWzNrSK7opGoQG/mp4VhdzgBxfZumz/nVDYxNSGErflVZHfbV/DhT4/yx2sns3yAzaD9bVa+deFYLpkYw96iWmxmE3uLavnTykOdgWqgt4XlU2L5zis7+cfNM8iICmB9VkWP4Kq7N3YUctW0WL7+0k4Wj40EdFPS17fr/Ro7gmCl4K75yf2O70SSAEsIIcRZa3piCHHBPhTWuO+ftHhcBONjAimubeaLz23Fz8vKdTPjWX2wnPKGViwmxfnjIvnyojQyovyZmxLG3qJaTEoxOT6YaQnBeHsNbruZ/jicBv/85Gif4Apg7dEK7pmfwktb89lXVEdciDct7Z6bblY0tHGwpI5d+TXEh/hSUNXEsUAbB0rqiQ3yYUyUP4ddNWmT4oI4VFrXI7gCPX36jZd3ER/iy/SkkH7H3tRup6qxjYaWdgqa7Dy+LqfH8boWO89uyuPGWQl8crCMjKgADhTX9XvNXQW1VDe2k1fZxISYQPZ3O78jcLt3QQqZsUH9XudEkgBLCCHEWSvM38Zfrp/CF57ZSl2zvcexH186juVTdIZm47FKCqpbgBaOlNUzPz2cuT6hOA34PKuCK2vimJoYwoIxESwY03evveE6WFLHm7uK3B67dFIMf/v4MMunxNHUZiertJGIABvlHrrNZ0T6k1PZSHVTO9VNOmBzGHC4tIHDpQ2ckxbGpLggciqbmBwfxP8+z3F7HYfTYO2R8n4DrMLqJn761j4+PljGorER7PJQ7wZ6FWBJbTP3LUwdeGrPNd24NbeaRWMjSAmP4dNDZTS1OYgIsHH9zHjuW5g26KnXE0ECLCGEEGe1OalhvPnl+XyeVUF+VTPBPlZmp4YyLSGk8w9090aZToM+rQc8TWeNlKrGNrer+TIi/dldUMvV0+L5cG8J9a12TAqumRHPKx5W8M1ICuHFLT2L3JvbHfjbLDS02lmfVQnoPf5SI/zcXaLTwZJ63thRQGyQD1MTgvvUZf3v85zOIvUAm4VqD/spAhwsruNLi9Mor2thbmooG49Vul2A4GM1k96tcH31oXK8rSYWZkTgZTFR3dRGTJD3gN3vTzQJsIQQQpz1UiP8SY3wvNoswNb3j3VCqA9jowKobW4nYIBu5MMV5m/DpHqu8gMYFx3Axuwqgn2t1LfqDJzTgH2FdVwyMZoV+0o6H2MxKS6bHMvGY5V9rl9c08zFmdG8ur0rKCusaabd3v/KSbNJ8Z1XdmN3GizNjOKHy8aTFKaDsmPlDTyzMbfzXKWU29dgMSnuPy+VhhY7z27M43+f5zAvNYwp8UGkR/pxtKyxM9BSCn55RSbTEkOIDPCirF6v8Gxpd7LStWm1t9XEQ5dn9v+GngQSYAkhhBADmJ0S2hkcRPjbWDI+kqNlDaw7WkGYn42qxjaKapqJDfa8ZcxwjIsK4NoZCby8tWfmyWEYzEsJ5d09PVsp7C+uo7y+leVT4jAwmJUcSkyQNz96Yw8ldT2nDpXStWgRgTamJQazo1uRe351E2nhfmRVNPYZk1Lg3W3bmhX7Sgn19eIXV07EajZR2dDWo1fXxmOVzE8P75H9s5gU3146hmc35vXYR/DNnUX4eplZPiWWQB8r56aFER3szeVTYlmQHoHJpPjnzTP48nPbejRu9fMy8/DN08lwdc8fTcoYoK/HyTRz5kxj69atoz0MIYQQogfDMHhxSz4PvbOP2+cksbeojpZ2B7sKajozMuemh/OX66cQGei+G/tw5VQ08sM3drM+q6u3VYivlXvOTeFPKw/3+9g1311MYqgvL23J482dRWw8VolhQGZsINMSgnlvdxH/vHUGqeF+rD1awfqjlZ3tDhJCfHh+Uz7lDV2BmVJw06xEPthbTHVTO2OjAsiMC6S6sZ02h4O5KWFMSwzmvme20tTWFWRdOTWODccqKHUFeVdMicXA4O1dfXttAcxOCaGsrpUHFqdz3cyEPseLaprZnF1FaV0LoX5ezE4J7cygnQxKqW2GYcx0e0wCLCGEEGJgTqfB+3uKeXNnITvza/D1sjA9MYSapjYOlNQxJyWMBRnhLMyIIMpNy4aRUNvcztacKo6WNeBtNTMtMRgF/PjNvexys8IQ4MIJUfzz5ul4WUw0tdl5e2chW3KqabM7OVLWQKvdwY8uHc8F43t2kn96Qw4/fWsfAEvGRxLobQXDwNvLTEu7bvBZ26yDq5ggb1b32rvQx2rmGxdm8Mhnx1iYEYHTMDAMg/RIf4pqmymra+Xc9HAe+exYj+Ctt+VTYgn2tfKLKyYO7807AfoLsGSKUAghhAAaWuxsza0ip6IRX5uZGUmhpHWry1p7pJxvvryLNkdHRqaNvKomxkUHcMnEaJ7akMvbu4oI9bPy1fMzuGZ6PIEjXGgd5GNlyfgoloyPAqCl3YHVbOKec1P4+ks7+xTCm02K2+Ymdu7F5+tl4cbZSSwYE8nR0nqsZhMTYgMJdtOTa3x0V2f5jw90FarPTg3t/BpgYlwgr7l6UHXX3O5g9aFyLp0UzXOb8nrUXl0xNZbfXDWR1YfKaXbT9LQ7wzBweNja51QmAZYQQogzQm5lIw0tdiIDbUR42DTZk2PlDfz4zb2dK+hAb0Hz66smcc30OBpa7fzuw4PdgqsuB0vqGd9tm5uqxnZ+/s5+6lra+fqSMUN/Qf3YnF3Je7uL+eRQGeF+Nm6ancDDN03j36uz2Fuke0JNSwjiq+ePYeGYyD6Pjwv2IW6AerHJ8UHcNT+ZLTlVpIT50eZwsvZIRY+tcIJ8rJ1bCbkTH+LLMxvz+tz/1s4iJsUFEehtYWZSSJ/sV9fjfSirbx2w19apSAIsIYQQp7Vj5Q08syGX5zbl0eZwEubvxQOL0rlqelyPYMCTNruTP6861CO4AlwbM+8iNtgbq1lxoLjv1jMd9hbWcu+5KZTVt+J0GljMJjYfq+LIxPoRL7j++EApX3x2W2dDzfyqZnbk17BkXCSP3DaDqoY2lFKkRfoNb6sYBZPjgtiYVck7u4uxWUxcOD6S+elhhPl58eiaY/jbLNS1uG+9kBkbyI68ao+X//dnWfz7lunEBHl73ILoiqmxrD5UzqKxI99b7ESTAEsIIcRpq7S2mQdf3Mnuwq76o8qGNn7x7n6Ka5v5/iXjB2w2ub+ojvd2l7g9Zhjw0f5SLpoQ1e81WuwOduRVszW3pvO+lHA/DpaMbIBV1djGQ2/vcxuMfHywjEsmRXPtjL7F4EPx6tYCfvTm3s6vW+1O3t1TwqHSBh65dTrnpIezJbuS6qb2HtvrdEgJ9+NdNxtFd6hsaCO/qhE/bws3z05kw7HKzg7yUYE2bpqVSE1zK7+6ciIp4aOzYfNwmEZ7AEIIIcRQrc+q7BFcdff4uuweW6h4cqyiod/jO/NrSIv0J8TPcz3VxNgg9hX1zHBlVzTyxOfZNLZ6bq55vPYW1pJf7X5bH4AP97oPFI9XYXUzv/vgoNtjR8oaWJ9VxXljIvj20nHcOCsBb2vfcKKioZXoQJvH5/C2mmh3wNPrc6lqbOP8cZF8fUk631k6hq+dn87Rsnrqmh1MSzz9pgdBAiwhhBCnsd0eVs6B7ll1sJ8Aq7SuhT+vPMTnRys8ngOQHhlARIA337zAfT2Vr5cZb6vZbbH2jrwaduZ7HuPxarH3XxBe3ei5Hup4HCiu62xc6s7KfV2B3KT4YP5z+0wSQrpqukwK0iP8uXN+isdr3DEvmYlxQdidTt7ZXcwjnx3j7x8f5Y8rDvOjN/fx7p4SJsYFenz8qU6mCIUQQpy2LOb+p/9MHqYH2+xO/rziEC9vK2BcdAAT4wLZW+g+GFuaqacHr50Rj8mk+PtHhzs7iM9NDWVOShj//PSoxzGU1bUM5qUMSlq4PzaLqUcDz+4Wj+tb0H4i9J6gXJARwdtfOZddBTU0tjpIDPVlQmwgFQ2t7Mqr4YN9PTNrs1NCuHlOIgkhvtw6N4mnN+R2OxZKbJAPJgURATbqW9oJ8B7dbW+GQgIsIYQQpy09fZTt9pjVrJgUF+T22N7CGl7epreFOVhSz3Uz4qmob6OkVzD0rQvHcG56OAA+XhZumZPERROiyKlowmY1MSYygL9+dLizm3nv51+QEUGAt4XKhlbC/D1Plw1WWqQ/Xzwvlb9/3DegC/S2cP4gAyzDMDhUUk9RbTOB3lYy4wLxsXaFBONjAgmwWTxmsZZmRve5L8TPi0Vjez5/VKA3v7t2MldPj2NXQQ0Opy5+n5sWRrjr/fjq+Rn42Sw8sS6bq6fH8fnRSjZn62aqr+8oZFJcEL+9ehITPXwvT1XSaFQIIcRpq7qxje++uptVB0r7HPv+JeP44nlpbh/3wuY8fvD6nh73nT8ukmBfK+12J0E+VqYnhZAZG8i23BqKa5sJ8bUyJyWMzF5/6DdkVXLTfzb2uG9eahgRATZWHy6jrtlOZIAX9y9M46rpcYT6DS/Qqm5q4/lNufzz0yya2vSU4ezkEL69dByzU0IHfHxRTTOPrsniuY15nYHhnJRQvn/JuB71Ts9tzO1R5N4hI9Kfx++YRWKY77BeR2+fHizlO6/spsLNNGdapD8v3Te3Myg7VUgndyGEEGes0toW3tldxJPrcyiubWFaQjC3z0tiaWY0NqvZ7WNe217At17e1eM+m8XEwjEReFtMjIkKoKqpjde2FVDX0pXFMZsUf75uCldOi+u8z+E0eHFzHj9+a2/n9jM2i5ntbloU3DQ7gYcuz/Q4ruORV9lIXlUTPl4WxscE0NBiZ1tuNfUtdmJDfJieGNynTUOb3cn3XtvNGzv6NgaNDLDx0v3zSAnXW8202h2s3FvCY2uz2VNYi7fVxG1zk7hmehytdid1LXaiAr0ZMwKrJHcX1PDU+hy3DUs7/PuW6VwyKWbYzzWSpJO7EEKIM1ZUkDf3Lkjl+pkJNLbZCfa19pjucmdqfHCPWqbpiSEkhvry0YFSGlrtLBlnZ1dBbY/gCnQw9a1XdpEa4cfk+GBAB103zU5kUnwQm7OraHc4+P2H7vcGfGFzPldNix9UpmkgiWF+JLr23VtzuJxvvryTim5NP89JC+MXV2SSHtkVAO0prHEbXAGU1bey7khFZ4Bls5i5fGoci8dHUV7fgrfFTE1zG39aeZiPXJ3crWbFrXOT+MKC1GFtdP3R/lKPdWUdCqqbhnz90SCrCIUQQpwRAn2sxAT5DBhcgZ5y+tGl4wHdLTzIx8qbOwtpcNUcBXh79QhWunM4DTb0akpqMikmxwdz74JU2uz9zwztKxq5VYWgV/zd98zWPuNdn1XJQ2/vo6mtK0jMLm/scU64vxdT4oOIdm1Qvbeops/1/W0WUsL9cRgGX3xme2dwBdDuMPjf5zn89v0DtA6w5U1/Pj9aMWC/spHeduhEkwyWEEKIM1ab3UFORSMOA5LCfHtMmd00O5GYIG925tfwz0+zejzO7uw/m1I5jHYISvUfSByvtUcqaGl3P951RyvZU1jLuOgAzCYTPjY9NRkd6M3CMREU1zaTW9lEcrgvCzLCiQ/2oba5nS3ZVexx9RebGBfI7JQw1mdVkFvlPov0zu5ibpuXxOyUsCG9huhgH0xKYVLgbttBm8XEzKThZ/1OphMeYCmlLgb+DpiB/xqG8bsT/ZxCCCHEhqwKHl1zjNWH9D530xKC+PLidJaMi8JkUljNJi6cEM1BN1vgWEz9T/D010Bzcnz/q90mj3Bvp6Nl7rfwsZoVV0yN49WtBXxysAwvi4nrZyZw/Yw4DKV4eWt+57l5VU1spIp7zk3mN+/u5yXXCssOF46PYkZS8ADjaBhygLV0QhQ/fnMvN81O5PnNeT02rbaYFH+4djJpkadXN/cTGmAppczAP4ELgQJgi1LqbcMw9p/I5xVCCHF225JdxZ3/29KjrmdHfi33PbONR2+dwUXd2gyE+PadeiqtbyE+xIcCN13TbRYT56SFe3zumcmhXDY5xu02MdfNiOfdXcV8sLeUc9JCmZsahs9w9gsEj/stXjsjnjd2FPbIbv394yPcNjeJ5zf33YAZ4PF1OVw9Pa7P/asOlBIf6oPFpNy2pADwHkbh/sIxESzNjOa9PcVcPS2OdodBfYudYF8LF02IPuWK2wfjRNdgzQaOGoZxzDCMNuBF4IoT/JxCCCHOYoZh8PLWfLdF04YB/159tMf2NTOSQ7H0qv/ZkFXJOWnhxAZ597jfz8vMI7dOZ1yM5yxUgLeVn12eyXeXjiHcXwc/sUHeXDcjnvKGVtqcBo+vO8ZdT27lbx8f6VEjNRTxIX2Ly9Mi/DlQXO926rC2uR2HhyAJwO5mn0OAN7YXcm6G+8DS22piamLw4AbsRrCvFz++bAK/vGIi7Q4n5fUtzEoO5u5zU0/L4ApO/BRhHJDf7esCYE73E5RS9wH3ASQmJp7g4QghhDjTlde38vauIo/Hd+TXklvZxIRYPZU3LjqA7ywdy2977b338tZ8HlySTkqEP+X1rYT4WpmVHNq5cq8/fjYzW3KqGRcdSIivldL6Vl5xTbsFelu4ZGIM7+0p5tHPjjEzMYQL3TTuHKz8qmaunh7H691aHGTGBnp8DwZqz+T0cLymuZ0F6WGdU67d/WJ5JqnD3JA5yMfK5VNiuXxK7LCuc6o40QGWu0q+Ht85wzAeAx4D3QfrBI9HCCHEGU4pNeCKtO7HlVLceU4yccE+PLc5j135NSSE+HLbvCSWTYoeUmPQnfk1fOomEAGoa7HjZemaQFq5v3RYAZbJBOuPVnLNdD211tzuIDXCcxDY/bndsXk4HhNk45KJsYT5e/PGjgKyK5qYnRLC5VNiOTc9YsjjP1Od6ACrAEjo9nU84Pm/FUIIIcQwRQTYuHFWAk98nuP2+KIx4Z29njrYrGYumxLLhROiqGtpx9fLgp9t6H8i8yr779nU1GbHy2yizeGksKZvndfxmJ0SyiOfHeO17YUoBV5mE/Ut7R5ryA6V1jMzKYStuX0boY6NCqCo1v3eiQsyIrAbTq6cFscVU2NpczixWYbfMPVMdaJrsLYAGUqpFKWUF3Aj8PYJfk4hhBBnuaunxxPq17d43WYxcd/CNLw8BAY2q5mIAO9hBVcA/t79P95mMdPuagWREDq8LWfmpoZxz7kpgK4xa7U72XisivPGuM8qHS5p4OtLMrhpdkJnJk8puHxyDF88LxV/N6/9gvGR7C+uY4trj0CllARXAzihGSzDMOxKqa8AK9BtGp4wDGPfiXxOIYQQYmJcEE/fPYfXtxfw4pZ87A6D5VNjuX5m/JBbCRyP6YnBBPlYqW1ud3vcalYYhs42jR3mVjO+Xha+cWEG0xOD+XBvCdmVjcxJCePizChmJIXw11WHyXdlsmYkhfDgBRksyIhgfno4t89LpqK+lWBfL8bHBPCPT46wt7CWq6bFdRbCW8yKjVmVFNW2UNU09P5fZxvZi1AIIcQZrby+FadhEOFvwzRAbdZIWrW/lAee206bo+dKvuVTYtmWW01zu4PLJsdw6aQY5qSObNDncBocKK6jvL4VXy8zVovCrEyMifLvty3E85vy+OEbezwe/8dN086YIvSRIHsRCiGEOGtFBBx/kfpIuHBCFK98cR5rDpfR3O7AaeimmX5eZsL9vciuaMRsUuzKrybEz2tENk0GyKlo4P8+PsobOws7G3ZeNCGKb144ZsCeW/NSQwmwWahv7ds6IjbIe0T2UDxbSIAlhBBCnCBTEoIprWvhe6/vprqxa7rwvDHhTI4P5qn1OdS12Pnf+lwev2NmZ+uIoaprbucHb+xhQ1ZVj/tX7i8lt7KJZ+6ZTWSgd5/HtTucrDlczru7i7h5biIvb8mnuqlrvPHBPvzfTdOIcvNY4Z4EWEIIIcRxamxtZ0deDUfLG/C2mJmWGMLY6L4ZqO251Tzw/HbaezXv/OxwBaDws1moa7FTXNvCK9sK+NkwA6xtuVV9gqsOh0rrWXe0gksmRvfIZBmGwXMb83joHV0ibVKweFwkATYr4QFeTI0PZk5qKBEBElwdDwmwhBBCiOOQX9XEQ+/s4+MDZZ33Wc2Kn1w6gZvnJGIxdy3Q//hgaZ/gqsOaI+VcMSWON3fqBqHPb8rjvoWpxAT17cw+WFnljf0e/+xwOf/3yRHOTQ/H38tCaqQ/6RF+/PK9/QT7WvG1mimtb+3x2l66b64EV0MgAZYQQggxSIZh8OhnWT0CEIB2h8FP395HfIgP54+P6rx/m5teU13XAoezqwC+1e70GIwN1kD7ARoG5FQ0kVORx7joAPYU1RIRYOOuc5I5UtZAfYudmcm6zuq9PcU4nAZbc6tHvAj/bHCi+2AJIYQQZ4xDJfW8sCXf4/F3em1PkzhAj6vuqxrPGxNO1DAL8qcnBvfbxd5i7jp2sKSeyXFBlNW18t912Xx2uJztedW8vauITw6WcdMs3Se8pd0xrDGdrSTAEkIIIbo5UlrPsxtzefiTI7y6rYD8qq6u7OX1rf1ulLwtr4ZWe1dAsmRclMdzU8P9Oju+KwV3nJOMbYAM1EDGxwTy08smuD12+eQY1h+t7HFfU5uD9VmVfc5taLWzMbuKyfFBZEQOb4/Bs5VMEQohhBAuK/YV87UXdtJq75q6C/Wz8uhtM8BQ7Miv5vLJMXhZTBwsqWdfUR2g9zaMDLAxLSEIr241WAvGhHP/wlQeXXOsx/ME+liYlxbGc5vySAv349tLx7JoTOSwx6+U4uY5iSSG+vLeniJ25NUSE+RNdJA3m7OrKKnr2gYnJsibQ6X1Hq91tKyBO+YlMVemB4dEGo0KIYQQwIHiOq54+PM+jUHHRPmTERnAe3uKe9w/LSGYAG8Lwb5eKAUF1c1EBdi4eGI0CzIiCPHzAqC5TWeDNmVVUtXUxviYQGYmhdDU5sBkgozIAIJ9vU7Iayqsbubm/24k183eiGOidGbqcGmDx8f/48apVDa18cGeEgAunhjN4rGRJId73kz6bNJfo1EJsIQQQgjgiXXZ/HHFIRaPi8Bi0lmolnYHwb5WXt5a4PYx182IZ+2RckrqWnvcf8XUWH52+QRC/UanyWl3/1lzjF+/f6DP/VEBNs7NiOC17e5f22WTY9hfVMexip4rE9Mi/Pj3rTNGrDHq6ay/AEtqsIQQQgigtd3BpZNj+ORgGW/vKuLtXUWU1bVwsNjzNNrbu4qYlhjS5/63dhbx6cFyt49pdzjZeKySv350mB+/sYf/rj3GweK6EXsdvU2KC+CGWQmE+nVlyaYnBrN4XCTeVlOPKc0Ofl5mfKzmPsEV6FYQL/dT6C80qcESQgghACcGr27rmc0J8bOxObtvEXiHVrsTi4dVe2/tLOSaGfE97rM7nDz1eQ6/6pVR8rGa+f01kzhYXMfB0gbSI/1ZNDaCOSlh/a4KHIyy+jZe3VbAgoxwQny9SA7zpbqxjaqmdlrtDr66JJ0XN+dTWKM3hDabFN+5aCy//fCgx2s+szGXu89NITZ46D27Wtsd7MirYUd+NXanwfjoQGYmh5yw6dKTTQIsIYQQZ73qplZecpOVKappJinMj/0eMkw2iwm7h1WFRbUtOJxGjwDpk4NlfYIrgOZ2B794dz8T44JYfaicTw6W8diaY/zmqoncOCtxWJtUh/h54XAarD7kPqOWFObH21+Zz+6CGprbnSSH+eJjNfPQu/s9XrPV7hxW+4a65nb+suowT67P6XH/woxwfn3VJBIGaG9xOpApQiGEEGe9ktpW8qqa+9x/qLSezNhAj49bMi6SNYfdBy7njYnoEVwV1TSzcn+Jx2tVNLQR5GPtcd+P39zrMbgbrGkJIUyK69qCx2YxMTc1lHlpYfh6mTlvTARh/jYWj4ti2aQYJsQGERloY0q85217JscHERU49PqyFftK+gRXAGuOVPD0htwhX/dUIgGWEEKIs56vlxmr2X2WaHdBLRdn9u1nNSs5hNQIPxrb+mZyrGbFxROje9y3IauC+hZ7v+Nw9sqGOQ3YmuN+b8HB8ve28KsrM4kL9uayyTFcMD6KY+WNHC1tYPmUWPxtfSez/GxW7l2Q6vGaX1iQip/N6vF4f1raHTyz0XMQ9fSGHHIr+9/y53QgU4RCCCHOeklhftwwM4FnN+X1OXaotJ5ZySFcOz2eNocTXy8zs5NDeWJ9Nuuzqrh4YjSr9pd2NiCNCrDx5cVpzHJtOdNhR34Nvl79/9m1uCk4r2/tPygbjCkJIfz1+ql85YXtlNW3dd7/4pZ83t9TzO+umcQ5aeE96p+WZkbzu6sn8ZsPDlDXrMcQ6GPhh5eMZ2lmdJ/n6O3dXUXszK+hsc1OsK+VWUkhnD8+mobWdo6WeW4N0Wp3Ut3YRlLY6d0KQgIsIYQQArhtXhLrsyr7rJwbE+VPYU0Lnx7q2n9wZlIIewv11F1MoDffXTqW3MomGlrtVDe18fbOIpLD/TlvTETnY3y8zJiVItTXi6qmNnrLjA3ksJvGnwMFGhUNrWzOruRQST1eFjNTE4KZkRiCt1fPrvAf7ivpEVx1qGux8/ymfP63NpuvXjiGhRl6zF4WEzfOTmThmAgOltSBAeNiAgdV2P7Ymiz+8OGhHvVpT3mZ+dnlE7hyahzjowPYllfj9rHeVlOPFY+nKwmwhBBCCGBsdCD/u2sWaw5X8N6eIhSK2GBvimt7Blegt5jpsGhcBH9ccahPsfs9T27hybtmMTUhmNWHy6lvtpNV1sCicRH4WM2s2FdCRYMOeCbGBZIY6sv7e3rWaKWE+zEnpWcmrLtj5Q1865Vd7OgVrNxzbjIPXjCGAG89jVda18JzbrJzHT7PquCySTF84amtvHjf3B6tJ2KDfdwGVbmVjXx2uJw1h8vxsphZNDaChRnhbM2p7hNcdbxnv3n/IMlhvtwyN8ljgHX3/BQST/PsFUiAJYQQQnRKCvPjtnl+FNc28crWQjYcc9+iIS3Sj/QIf1odDo6WNbhdSWg2KfYU1PDpoTIeX5fTef+W3GoA7l+YSnVjK+1OXSz/TK/i7hlJIfx8eSZRgd5ux2AYBv9Zc6xPcAXw+LocMmODuHq6bhNhdzr7dKjveS1922p3snJ/qdveXt0dKK7ji89u69Eh/v09xcxODmVyQpDHlZW1ze1sPFbFvQtS+NKiNP69OqvH8YsmRHHr3KR+n/t0IQGWEEII0cuc1DD+tfqY22MLx4QzMymU3149iZe35vHKtsI+51hMivsXpnG0vJE3dxa5vc5/1h7jS4vSyIwNYsn4SM4fH8mu/BrK61sJ97cxJSHIYyF5u8PJxqxKXt7mvgt7argfB4vr+MvKQ7Q5DDIi/bl/YSqPfOb+NY2PCSCrXE+Nrj5YxvcuHuf2PNCB3f8+z3a7/c7mnCpSI/vPPtU2t+Nns/KNC8Zw4fhIdubX0O4wGB8TyPSkYPyHWDx/qpEASwghhOhlflo4P1+eyc/f2Uf3ZMy4qAB+cMl4bFYzs1JCsZoVr20v7HHOmCh/5qWGsa+oFj+bpbP4vTenAaG+XiybFNN537y08AHHllfZxF9XHcbudLq99oSYQKKDvHlsbXaP+9Mi/PjWhWPYVVDD6kPlPbJMMxJDOgv8B2q/kF3RyGvb+waVHYK8+w+Qwvz19b0sJqYnhTI9yfMU6OlMAiwhhBCiF4vZxG1zk5ieGMzW3Gqa2uwkh/kxOyWUiICuKbvJ8cFcMSWON3bqgMPXy8ykuCByKpvYkVfNwm5F7u40HWezztZ2B79+bz8r9pdy6aQYvMymPlN/42MC3AZAWeWNbMyupLSumVvmJvHi5jyiAr1ZOCaC93Z3ZdkumxLb/5jb7B6DRoCkUF98vcw96tQ6xAR5Mz/tzAyoepM+WEIIIYQbJpNiUnwwd81P4YHFGVw6ObZHcNVxzq3zEvFzrdhbNDaC9/YU0+ZwYrOY8bL0/2c2+TiLuXfm17BifykAaw6Xs2R8ZK/r+XZO9bmzPquSCTHBvLApj6+cn05EgI1nN+ZS3dQOwLJJMSweF+nx8QDRQT7EBLmvCwNYc6icn142gUDvnjmc6EBvfnDJOKYmnh0BlmSwhBBCiGGYkRTKs/fO4ZVtBTS22mlpd7Itp5qlmVEU17SQHOZLjpt6pbSI/lcIupNb1XWd+lY7dS3tzEwKYaurcD4iwEa+m470HQxD11C1OZw0tzlYmBGG3ekkwt/GskkxnDc2gjC//qcIw/1tfOX8dH70xl63x6+eGc9FmdEkhfmyKbuKumY74f5enJMWetYEVyABlhBCCDFs0xJDmJYYwod7inlrZxFtDidtDoO8qiZmJOkNjHfm13SePys5hJ8vn0ikhxWCnvj16m3V3OZgdkooUxKCMSmIDrCxNquSyEAbKeF+OJwGVrOJbbnV5FU14WU2ddaLHS6t5793zOLrF4w97td75dRY6prb+dtHR2i16ynKQG8LP75sAue7MmDz0sIHVVN2ppIASwghhBghM1NCiQq0UVrXyop9JSx1bbHj42XihpnxhPh5MSkuiMXjIgfs6u7OtMRgAn0s1DXbuXRSDEfLGnqsDPTzMvPDZeN5akMOb3VbvTgvNYxx0QGYTapz78T4kIEbhnriZ7PypUXpLM2M5lBJPWaTIjMuiLhBNCE9W0gNlhBCCDFCwv1tPHR5Jh17PK/YV8oHe4uxOwx8vczcdU4yl06OHVJwBRAb7Mufrp3CxNgA8qubONSr8/u5GeH89aPDHC7tuRXNhmOVlNe3EuBt6dx657wx/ddaDUZqhD+XTIrhosxoCa56kQBLCCGEGEEXT4zmqbtmc9W0OIJ9rSSE+HLJxGjuXZBGVNDwg5CLMqO5f2Eauwtq+xzzs1k6u8P3tiO/prM1wzcuyOCctLBhj0V4JlOEQgghxAhSSrFgTATz08OpbWnHZjENOWPlSbuHNgltds/d2gEi/W08e89sZiaHYrOa+z1XDI8EWEIIIcQJYDIpQnxPzKbFwb7um3malOr3cWmR/pyb0X9vLjEyZIpQCCGEOM1MTwwhLbxvDy2r2XOA5WM1sz2vhrv+t4W3dxbS0Np+Iod41pMASwghhDjNBPt68ftrJxPq1zOT9fnRSm5zs1my2aS4bub/s3ff4XFWZ97Hv2eKeu/dki3LvTfAYNM7JkBogYQkJCwbUja9J5tCXnbTE1JIBZYWCL13DNi4415lS1bvvWtmnvePGckjaUZyGfff57p8WfPUM2eKbp1ynxye2lDB27vq+OJjG/n163vo7nMdqyKfdoxlBU93f6zNnz/fWrdu3fEuhoiIyEmhtKGTlXsb2VPXTlNnHzZj2FPbxqSMONp6XLR09pEWF05kmINXttbQ0Ts0oPq/Ty/knDGW85HgjDHrLcuaH2ifxmCJiIicpPJToslPiWZ/YyeX/fa9wfX/tla1Ex1m56PzcnhsbflgMtDh1pU1K8A6StRFKCIicpIblxzNXedNGLKts89NU2df0OAKoCfAgswSGmrBEhEROQXcekY+Hgv+8HYxPf3eoCo5ZvR1BQvTYo5F0U5LCrBEREROAfGRTr5w/kSunJlFaUMnEU4bE9NjqW3r4eWtNSOOz0+JYnGhko0eLQqwRERETiEFKdEU+KVw+N4VU0iNDeeR1WWDmdwvmprGly8qIish6ngV85SnAEtEROQUlp0YxY+WTeOWRXnUtvUSH+lgSmY8YQ4Nwz6aFGCJiIic4owxTMqIY1LG8S7J6UPhq4iIiEiIKcASERERCTEFWCIiIiIhpgBLREREJMQUYImIiIiEmAIsERERkRBTgCUiIiISYgqwREREREJMAZaIiIhIiCnAEhEREQkxBVgiIiIiIaYAS0RERCTEFGCJiIiIhJgCLBEREZEQU4AlIiIiEmIKsERERERCTAGWiIiISIgpwBIREREJMQVYIiIiIiGmAEtEREQkxBRgiYiIiITYEQVYxpjrjTHbjDEeY8z8Yfu+bYwpNsbsMsZccmTFFBERETl5OI7w/K3AtcB9/huNMVOBm4BpQBbwhjGmyLIs9xHeT0REROSEd0QtWJZl7bAsa1eAXVcDj1mW1WtZVglQDCw8knuJiIiInCyO1hisbKDc73GFb9sIxpg7jDHrjDHr6uvrj1JxRERERI6dMbsIjTFvABkBdn3Xsqxng50WYJsV6EDLsv4C/AVg/vz5AY8REREROZmMGWBZlnXhYVy3Asj1e5wDVB3GdUREREROOkeri/A54CZjTLgxpgCYCKw5SvcSEREROaEcaZqGa4wxFcCZwIvGmFcBLMvaBjwObAdeAe7SDEIRERE5XRxRmgbLsp4Gng6y727g7iO5voiIiMjJSJncRUREREJMAZaIiIhIiCnAEhEREQkxBVgiIiIiIaYAS0RERCTEFGCJiIiIhJgCLBEREZEQU4AlIiIiEmIKsERERERCTAGWiIiISIgpwBIREREJMQVYIiIiIiGmAEtEREQkxBRgiYiIiISYAiwRERGREFOAJSIiIhJiCrBEREREQkwBloiIiEiIKcASERERCTEFWCIiIiIhpgBLREREJMQUYImIiIiEmAIsERERkRBTgCUiIiISYgqwREREREJMAZaIiIhIiCnAEhEREQkxBVgiIiIiIaYAS0RERCTEFGCJiIiIhJgCLBEREZEQU4AlIiIiEmIKsERERERCTAGWiIiISIgpwBIREREJMQVYIiIiIiGmAEtEREQkxBRgiYiIiISYAiwRERGREFOAJSIiIhJiCrBEREREQkwBloiIiEiIKcASERERCTEFWCIiIiIhpgBLREREJMQUYImIiIiEmAIsERERkRBTgCUiIiISYgqwREREREJMAZaIiIhIiCnAEhEREQkxBVgiIiIiIaYAS0RERCTEFGCJiIiIhJgCLBEREZEQU4AlIiIiEmIKsERERERCTAGWiIiISIgpwBIREREJMQVYIiIiIiGmAEtEREQkxI4owDLG/NwYs9MYs9kY87QxJsFv37eNMcXGmF3GmEuOuKQiIiIiJ4kjbcF6HZhuWdZMYDfwbQBjzFTgJmAacCnwR2OM/QjvJSIiInJSOKIAy7Ks1yzLcvkergJyfD9fDTxmWVavZVklQDGw8EjuJSIiInKyCOUYrE8DL/t+zgbK/fZV+LaNYIy5wxizzhizrr6+PoTFERERETk+HGMdYIx5A8gIsOu7lmU96zvmu4ALeHjgtADHW4Gub1nWX4C/AMyfPz/gMSIiIiInkzEDLMuyLhxtvzHmNuBK4ALLsgYCpAog1++wHKDqcAspIiIicjI50lmElwLfBJZZltXlt+s54CZjTLgxpgCYCKw5knuJiIiInCzGbMEaw71AOPC6MQZglWVZd1qWtc0Y8ziwHW/X4V2WZbmP8F4iIiIiJ4UjCrAsyyocZd/dwN1Hcn0RERGRk5EyuYuIiIiEmAIsERERkRBTgCUiIiISYgqwREREREJMAZaIiIhIiCnAEhEREQkxBVgiIiIiIaYAS0RERCTEFGCJiIiIhJgCLBEREZEQU4AlIiIiEmIKsERERERCTAGWiIiISIgpwBIREREJMQVYIiIiIiGmAEtEREQkxBRgiYiIiISYAiwRERGREFOAJSIiIhJiCrBEREREQkwBloiIiEiIKcASERERCTEFWCIiIiIhpgBLREREJMQUYImIiIiEmAIsERERkRBzHO8CiMjYKpu7eG9PA+v2NxPmsHFGQRKLC1NIjgk/3kUTEZEAFGCJnOB21bTzhUc2sLuuY3DbI6vLWFqUyj3XzSAzPvI4lk5ERAJRF6HICcyyLB5YWTokuBqwfHc9L26uPg6lEhGRsSjAEjmBlTR08vi68qD7/7mihPbu/mNYIhERORgKsEROYJ29LlweK+j++vY+uvvdx7BEIiJyMBRgiZzAMuIjSIkJC7p/QX4i8ZHOY1giERE5GBrkLhJie2rb2VDWTEVzN1FhDubmJTA7N4Fwp/2Qr5UaG8Fd5xXyo+e3B9x/65njDuu6IiJydCnAEgmR6tZuXttWw0OrytgzbFD6fywdzxfPLyQ6/NBbm66bm0NDRx9/Xr4Xt6+7MMJp4+6PTCcuwsnzm6pIjQ1jZk4CUWGH9pG2LAuXx8JpV2O2iEgoKcASCYH27n5+/spOmjr7RwRXAPct38fUzDiunp19yNeOi3TytYuLuHJmJjtr2nDYbCTHhPHb1/ewurRp8LgzxifxgyunMjUrfsxr1rb28ObOOp76sIKmjj4umpbOpdMymJOXeMjlG86yLNaUNLFybwN76zvJT4nmnMIUFuQnYbOZI76+iMjJwFhW8AG0x9r8+fOtdevWHe9iiByyd3fVsrWqnV+8tovhY9JzEiOZnh1PbmIk37psCvYjDDLq2nq4+a+r2FvfOWJfUXoMj3z2DFJGSUBa19bD1/+9ieW7G4ZsD3fY+Ptt8zl7YupBl6Wjx0VbTz+xEQ7C7DaW765nc0Urf3yneEg9GAP3XDuDG+bnYoyCLBE5NRhj1luWNT/QPrVgiRwhl9vDyn3NVDZ3DQkq4iOdXD4jg+K6Dt7YXktshIOoMDvXzMkmPyVm1Gv29rvZUNbC5ooWXB6LqVlxFKXFsLWqjZL6zoDBFcDu2g5W72vkiplZQa/91s66EcEVQK/Lw90v7eDx/0ggNiJwV+a60ibe2lXHxrIW0mLDiY908vauelJjnMzOS6S+vY+Xt1aPCDItC7791BamZ8cz7SBa2ERETnYKsESO0JbKVv68fC9XzczEYTO4PBY2A8tmZfHQ6v0MNBI3d/Xz2zeLeX17Hfd9fC65SdEBr9fa3c+vXtvFAx/sH7J9wbhEwpw2EqOCzyoEKG3sCrrPsiye2lARdP+O6na2VbVxxvhkAOrbe6hs6SbSYWdvQydffPTDEWkjrpqZSUK0k7+/X8rVs7PodwduFfdYsLakSQGWiJwWFGCJHKG1pc0AvLungfMnp/Ha9loWF6bwyrYaAvXAb69u4+1d9XzizMAB1ktbqkcEVwBr9zdz1czMMbsYYyMCf6z31Xfw3p4GMuIjuXp2JA6b4d3dDdR39A4eE+6w0dvvZk1JI5XN3dz7djF76zu5ZFo6K4sbA+bken5zNbedOQ4Azyg5uwDaelyj7hcROVUowBI5Qt193qChtbufXpeH2bkJJEaFUd/eG/ScZz6s5BNn5gPQ1NnLB3sbWVPaRGJU2KjL37y5s447zinAZhjRDQdgtxliwh28taOWueMSSfC1dq3e18hn/28dbd1DA5zr5+WwfHc9de29zB+XSG5SJJ97eAOdfW6cdsO5k9IYnxpDuMNOe2/w4Kjf7QHA6Rh9NmJeUtSo+0VEThUKsESOUEHqgfFUy3fXMy0rjtyk0Rdg7nV5sCyL+vZe7nllJ89urMLtsbhsegb7GgKPrwLo6nNT1drN1y6ZxI6qNvo9Fu/vaaCj14UxcOP8XP77uW209bgoTIvh5x+dybikaL72xKYRwRXAE+sruG5uNuv2NxMVZufpD6sG9/W7LV7fXktRegwXTE4b9fnE+ZKd1rb1kJsUSXlT94hjchMjWTQ+adTriIicKhRgiRyhMwqSKEyLprjOGxhtq2ojKyGSuAhH0C6x6+fl8N6eBl7eWk1tWw/XzMkiLymKzl4X+clRQQexL8xPJC4yjL+8u4+Wrn7CHTYunZZBXnIUNa09vLy1evCexXUd3PXwBr52ySTKm0cGPAOcdhvnFqUG7JYE78D5i6amj1oHTruNiWkxrChu5Nq52UQ529hV2z64f2pmLPdcN5PM+NEDTxGRU4UCLJEjlBYXwe9umsM9r+zkXd/svOW76rntrHH89b2SEcdPy4ylpaufT/xjzZDtYXYbH1uUx4VT0thbP/K8rPgI0uMj+JvfNXtdHp7dVMWk9Fjio5w0dw1d+DkjPoINZc2jlr+6tYeZOaMPPK9q7mZuXmLAayVGOdlT18H41BhyEyN5+sNKpmfFc83sbFJiw5iTm8g5RSlBZyaKiJyKFGCJhMDUrHj++vH5bKlspbGzj9SYcArToilKj+Xet/ewv7Ebm4GrZ2dz4ZQ07nrkwxHX6HN7eOrDCpbNzOTSaem8sq12yP6rZmdx3/J9Ae+/q7ada+dms2ZYXFaQEk1n7+iLQSdEOaloDj7zEMBteY9bXJjMiuLGwe0TUmNYVJDEC5uruP2c8dwwL4emrj4aO/pIiQljckackouKyGlJAZZIiIQ77czPHzrG6Pr5uVw4NY2q5h4iwuwUJEfz+7f2BL1GW7eL9l43W6va+PJFE+nr99Da009ydPiQ2X6B9Ls8Qx7HRTho7Oyjts3bQrW5onXEOWF2GzZjsCzvAHl3kFmATrvhrZ11XDotnYc+s5DWLhfxkU7ykiLp6HPzhQsKB7v/MhPUDSgiogBL5ChLjAonMepAZvXh3XjDeTwWFc3dPLGugoy4cNbtb8EYuM036zCY6HAHV8/Owu1bW9BuM1S1dLOjup3LZ2Tgcltsr24bPD4uwsEdS8bz+7eKiQqz8x9LxvPHd/aOuO45hSnUtHbzncsmc9mMTHI1E1BEZEwKsESOsfGpgfNfDXD4Lbw80KBkWdDc1TdqK1Of28OzGw/MAkyIcvLJs/JZubeRl7bUMDMnnmvmZNPv9mC3GXr73RTXddDr8hDutHHTglwmZ8TxyJr9bK5oZVxyFLcsGsfZE1NIiQ4nJkh+LRERGUnfmCLH2OIJKcRFOgKmTZiZE89u3+y7ObkJvLb9wDisd3fXc83sbP4dIBP7woIkdtW0D9nW0tVPZXM32QkRVLb0sLmidUg34VUzM3lndz0A375sCnnJ0eQlR3PJtHTaevqJCXcQGaavCBGRwzF6VkARCbkJaTH87RPzyU8e2tU2Ny+RzPgItlW1kRTtTRDa6zeuqrmrn/Vlzdx17gSmZMZiM5CTEMl/Lh2PZVlsq2pjuCfWV/DdK6awbFYmA2ssx0U6+Oi8HPY1dJKXGMXvb57DdXNzBs8Jd9pJjY1QcCUicgT0DSpyHCwsSObpuxazYX8z++o7qG/v5a1d9WyuaOHy6RlMzYqjpKGTlJgwGjr6Bs+rb+9lT107F05J455rZzA+JYa7X9o+uFxPIB29bn594xw+d24hnX2uwcHoPf1u0uLCiQk/OukT3B6LNSWNvLungbKmLgpTo1lalMbccYlH5X4iIicSBVgih6Gj14XHYw1mMB9Ne08/6/c3U97UTUy4d6ZhblIUiVFhXDAlnQumpLOupJHGzj4mpceycm8DL22tAeD6+Tm8s6t+cNmdWxblcdOCXPJTojG+JqlxyaOP6UqPDcduM0zOjDvCZ33w3B6Lh1ft5wfPbRuy/d639/KbG2dz1aysY1YWEZHjQQGWnNYsyxoMVA5GcV07L2+p4dE1ZfS7La6alcWy2VnMzk0IePye2na+8/SWIS1MMeEOfnnDTC6ZlglAU0cfX358U8Bs60+s8y5l8+SGSs6akMytZ4wbMYtvcWEKTvtu+t0jB7/PzIk/Li1GWypa+eHz20Zsd3ssvvbEJqZlxTE+NYaqlm7e3V3PO7vq8VgWS4tSWVKUqpmKInLSU4Alp6VtVa28vr2W17bVEB8VxrJZWZw/KY30+Iig5+ypbeczD6xjf9OBpJz/WFHCY2vLuP9TC1hYkDzk+O5+Fz9+YWT3XUevi88/8iGP/0cEc/ISWV/WNOpSNhFOO3/42BzOGJ9Mckz4iP0zcxL4yyfm8fzGat8MQRsr9jaQHO3k/10747hkUF9T2ogVeLIjvS4P60qbsdsMX3z0Qzb5Dbx/bXstRWkx/OGWuUxMjz1GpRURCT0FWHLaWVPSxKfvX0tH74FZfB/sbWRxYQq/uD74ennPb6oaElwN6Opzc9/yfczKTSDcYR/cvqm8hff2NAS8Vr/b4t3d9czJS6R1jLxYPf1urpgZvEvtnV11fPfprVS19ABgM3DNnGz+89wJFKYd+yCluauPMLuNK2ZksmJvAy2+5zc3L4H8lGj6XR4aOnr519ryIcHVgN11HTyypowfXjXtWBddRCRkFGDJaaW738UvXt05JLgasKK4gTe21/HxM8eN2Nfc1cdDq8uCXvfNnXXsq+9kit84p+rWnlHLstOXViFjjMznhWkxQfdtLGvhP/5v/ZDZhh4LntxQSXS4gx8tm3ZIXaBHoqvPxQubqrn37T2UNXUTZjd86uwC7Mabu6un382/1pXT0++hs8/N2pKmoNd6ZHUZn15coK5CETlpKcCS08rO6nbWjDLj7l9ry7hpQS5Ox9AMJi63h57+0df0K23sJDM+goQob4qFhMiwUY/PSfQGD3Ny41lUkMTqAAFHmN3G2YUpQa/x5s7aIcGVv4dXe5/L1KzRF3IOlUdWl/HTF3cA3lQQV8/K5qn1lYNL/ESF2blyZhYflrUQHWanPUCQO6DX5WFFcT0ut8XccYlMyYw7ZoGiiEgoKA+WnFa6xwiSmjr7WFvayJ+X7+Uf7+9jw/5m+t0eevvdnFGQFPS8vKQo/v5eCdf+cSVv7awDYE5eAhNSg7c+LSnyBk7R4U5+fPU05uYlDNkfF+Hgj7fMZUZOwsiTfVYWB+6CBO+A8tHGdh2qjh4XWytb2FHdRu+weixp6OSXr+0efHzZ9EweWr1/yPqJXX1u/r2+gvn5ieyt72DqKLMac5Mi+ff6Sr737DaW3buCR1aXBc1gLyJyIlILlpxWxiVFExvuCNp6MicvgTsf3jAky/oXzi9kfEo0qXEROO0m4Gy9JRNTBrsQf/z8VvpcUzDAVy6cyD9XlrBuf8uQ479z+RQW+Q2Kn5QRx/2fWsiG/c2UN3cTF+lg/rgkshMPdB/urmljm28twamZ8UzKiCUrIZL1ZUOv7S86BMlC3R6L17fX8ru3drO9ytutec7EFD537gTOnJAyWLaB4DU9Lpzypq6gg9zf3FHL1Mw4shMjh6yN6O/swhQeXVMOgMtj8d1ntpKXFMU5RalH/HxERI4FBVhyWslOjOQLF0zkZy/tGLHPaTdEhY1cwub3bxXz+fMKeXZjJTcuyGNdadPg+Kms+AjOn5LOa9u8easunppOe6+LOx/aMHj+gnGJ/OKjM9lV205chJOF45OYm5eI0z60ATku0sm5k9NGlKurz8U/V5TymzcOpGJw2g1fPH8iV87M5PnN1QGf68S0GGbmjN492NHbz4b9Leyt7yDCYWdOXgKTMmKHdMe9vr2WOx9aP+S89/Y0sKakiYduX8SCgqQhx0/JjGPdKN2wDR19xEc6eWdXPTctyOX5TVV09nmDswinjStnZvHB3sYR5722vUYBloicNBRgySnN7bHYVtXKlopW3JbFtKw4rp+Xjdvj4XdvFg+2uhSkRLGkKJV/rS0PeJ0P9jWQGR/JQ6v2My0rji9dUMi++k4aOvp4ePV+LMubc6qypXvEkjVr9zdT09bLY3csIjvx0Adtv7Slmp+/umvItn63xS9f383/u3YGNy3I5bFh5Y4Os/Pjq6eNmgi1rLGLHz63lbd31Q9uc9gM379yKh9blIfTbqOjx8Vv39wd8Pxel4d/ry9nfn4i07LjiYtw0NbjorPXRVyEI+BEAgBjwBhDdWsPT39YyRcvKKS+rY+oMDsljZ28uLk6YFfu5sqRMw5FRE5UCrDklNXZ28+fl+/j3reLh3RX3bIoj69eXMTlMzLZW9dBuNNGmN3G9fetAmBCajRTM+OwgNUlTdS397K3vpNpvuVrtlW1MSE1ZkTLUWFaDE9tqAxYlvLmLj7Y18hH5x1agNXe430Owfzt3X089JlFLClK5Z1dddS19bCwIJmlk1KZNsrgdo/H4k/Li4cEV+Dtjvvhc9vITYzk/CnplDZ2sKO6PchV4LlN1XztkslkJ0TyvSum8I0nt7B+fzNXzcri2Y1VAc85oyCZdaXeAf3LZmfxwMr9hDttXDw1nZd9GewDmZpx7DLRi4gcqSMKsIwxPwGuBjxAHfBJy7KqfPu+DdwOuIEvWpb16hGWVeSQvLK1lt+/VTxi+8Ory8hPieaz54wfXGZmb10HCZEOLp+RxfbqNp7fXI3NwFkTUjh3UiqVTV3Mzo4nJSYcj8ciKSqMxROSWLH3wMy//iCz+QYU13bQ2+8m3Gkf9Th/DR29FNd1BN2/t6GTrn43l8/I5PIZmQd93V217Ty+riLo/mc3VXH+lHTsttHnwTgdhoGezmvm5hAX6eTBD/bT3NnHlMzYEcFZckwYF01NY1NFK3ab4e2ddTR09HF2YQoby5qZm5fAhiBjyi6alnHQz09E5Hg70hasn1uW9X0AY8wXgR8AdxpjpgI3AdOALOANY0yRZVmjT+ESCZHOXhd/XxG85edP7xRz9aws0uK8mdsnpMXwH0sn8PNXdzEwWc1jwfvFDUSH2fnZNTN4cUs1r22vBcBuM1w1M4sLp6Tzxg7vtrHSCFS19nD7g+u47cx8Lpichs02dtqBmDDnqIPyo8PsRIcdfMA2oKG9d9RZeRvLW+h1uRmfEs05E1OCJkz92MI8kqK92eWddhuXTs/kvElpNHb20dnrYuXeBl7cXENXv4vC1Fj63G6eWF/BrJyEId2aWQmRPL6ugWWzsmjo6KNsWELXb182edR0FSIiJ5ojCrAsy/IfbBINDHxjXw08ZllWL1BijCkGFgIfHMn9RA5Wa3f/4Iy3QJo6+2no7BsMsDp7+3llaw2BYo654xL59Ru7KW088Evf7bF4ZqN3fcDbF+fzfnEjabHhhDtsQfNSOeyG9/c0sKK4gd/dNOegFjxOjQvn02fn89s3R7bEAXxqcT4ZQTLPjyY+avTlc4rSYwez0n/u3AmsKWka8bzS4sK5enb2iHPDnXayEiLpdbn5/VvNVLZ047Qbnt9cNRjU1bb1cun0DN7YXsu1c3NYvtub2uK5TVUsLkxmfn4iKdFhpMZGMD8/kRnZ8TjsyiojIiePI/7GMsbcbYwpB27B24IFkA34j7qt8G0LdP4dxph1xph19fX1gQ4ROWTR4XayR8mQHum0Exdx4O+LkobOgMu2AKTGhg8Jrvyt3NtIW48LC4t393hnxQVqyLp6dhYrfDmrLAvueXknTR19B/VcrpuXy8KCkQs2zxuXwPXzcw/qGsNNyYzjI7OziHAG/gr4iF/gtCA/if+9biaXTs/w1lukg1sX5fGnj80bkrl+uC2VrTy3qZrKlm5KG7uGtJg1dfZRlB7DF84v5JVt1dS2HciXtaK4kdrWHj53XiGfXTKeOXmJCq5E5KQzZguWMeYNINDgh+9alvWsZVnfBb7rG3P1eeCHQKC+j4D9EZZl/QX4C8D8+fOVSVBCIj4yjNvPLuDHL2wPuP+TZ40bzKQOYAK+Zb3GGlvl8njYXdvBwoIkWrv7uX5eDq3dLqpausmMj2BqVhxPrq8YEkRUtnSzs6aNsw6i2ysvKYo/fmwuq/Y1smpfExYwf1wiiwtTBlvgDkVFcxfv72nAZuC8SWlEhtkpqe/kw/IWAP7z3AmcN/lAOoQnN1TwzSe3kBQdxuLCZFxuiyc3VNLU2cf41BkkRgfOWL+vvnPUctS29fBfFxTR5/Lw9xUl9PR7CHfYuPWMcdx2Vv5gRnwRkZPRmAGWZVkXHuS1HgFexBtgVQD+f1rnAIGnFIkcJVfNymL9/mZe3DJ0tt+ZE5K5edHQ9QYLUqNZMC6RtftH5m8aa2zVvLxEls3M4vnNVTz1ofdtHhVmJzU2nP2NnXywt5FzJ6WOyKruCZaJ08+O6jaW76pnfVkzqTFhnFOUytmFKcRGjN7FF8zumnbuemQDe4YNnD9zQjI/+chUJqbFMSc3YXAg/v7GTh5etZ+JaTHsre/gjR11g+e8tLWGK2dlcvmMLCzL4sPyFj4obqCytYfcxEjCxmh1SogMIzMhkq9fOpkbF+TS2NlHYlQY+SnRh/XcREROJEc6i3CiZVl7fA+XATt9Pz8HPGKM+RXeQe4TgTVHci+RQ5UaG849187g2rnZbCxvwbIspmXFs2h8EknR4XT3ubDbDGEOO1FhDu46v5DPPLAO17CBWJFhwQMFp92wcHwSvf0envZLS9DV52a/X7ei3WbDZhgc45UWG86kjNhRy//B3gY+88C6wSScAI+sKefWM/L45iWTifXLcdXb7+aDfY0s311PZXM307LiWDopjdm5CYPHWJbFP1aUjAiuvPdq5MIpaZwx/kB2+b117Ty5oZJel+Ud1D8ri64+N6/7BvoDrN7XxOUzsnhqQyVf//emIWPYLpmaPpgbK5CFfksP5SVHk5eswEpETh1HOovwHmPMJLxpGvYDdwJYlrXNGPM4sB1wAXdpBqEcTRXNXazc20hJfSdR4XYW5CcxJy+B2EgnF0xJ54Ip6YPHfljWzJ/e2cvLW2uICXdw4/xcLpyazrmT0vjrJ+bx4Af7eXtXPQ6b4cIpaSydmEJsuJO/vV8y4r5fubCIjLhIlu+uC7o0DEBNWzfJ0eGDa/N989LJpMYG795r6+7nB89tGxJcDXhoVRlnjk/mipneQfK9Ljf3vbuPX71+ICHoa9tr+cPbe/nDLXO5aKr3ue+r7+SJ9cFTM9y/spQb5ucSG+Fke3Ubdzy4lormnsH9O2vayYqP4MqZmbzgywHW2edme3Ur33hy84gJAm/tquNjC/N4KMA6ghdOSaMwTQGViJy6jnQW4XWj7LsbuPtIri9yMLZUtPCfD68fEgwAfPnCidy5dMKQvFMrixv49ANr6ek/MK7qRy9s58kPK/jJsmmsLmliT10HV83MxG1ZrNzbyCvbavn+lVP43U2zeXJDBSUNXRSkRJMWF84/VpTyyrYaPrk4f9QyRoc76O53MyM7njuXTuDiaemjHr+5ooU9tcHzX72xo3YwwFpX0jQkuBrQ5/bw1Sc28sqXlpCVEMm+ho5RUzPUtfXS3ecmNsLJo6vLRtQneFNNzHBbRIfZ6exzMy8vkTUlTQGv2++2+Pf6Cr50QSHbqtopb+oiKTqMtLhwdla3Dc5SFBE5FSmTu5zUuvpc/PSFHQGDgV+/sYepWXFcNDVj8NhfvLprSHA1YGtlG+8VNwxmTa8YNl7qpy/u4G+fmE9pQxcJUU62VrbSuNs7C7C+o5dN5c2kxYZT19474toAl8/I5FuXTiYzPpKYiLE/dh1ButUAwuw2UmLCeXJ9BW09/XT1uZg/LpF1AcaPtXW72FDWTFZCJHvrOkiMctLc1Q9AuMPG3HGJ2AxsLGthTl4iCVFOypu6eGxtWdD7v7OrjnMnpbGrto2zJ6bw1IfBW8U6+9zsqe3gvT31ZMZHsrOmjfeL+7h1Ud5hpZcQETlZKMCSk9qWilZWlzYF3f/qttrBAGtTeQsbfDPlAilv6g66z7JgbWkT+5u6IMDtHvygjP+9bibffnrL4ILMA26Yn8OSwmR21nbw0pYael1uJqbHcMb4ZDKDBBk5SVFDxmwNiHDauHFBHg+vLqPLr/uwMC2GZbOyeG7TyLkkTR191Lf38sd39nLJtAyeWF8x2EK3tqQZj2Vx9sQULp6aQZjDTp/LM+I5+Ot1eZiZ412PMTcpipyE0Zf/cdhtdPW52VvvbZGLi3QcdnoJEZGThQIsOam1dPePun+vb0B3dWs37+waPc+aa5SgAqCzN/gwQo/lze7+rzvO5LXtNawobiAnMYrLpmewID+JPy3fxz9WlA45Z0JqDF++aCIT02IpSo8ZMltxamYcNy/0BlL+LpueySOr948IgIrrOgh32JiWFTdisena9h7aevrwWLC9uo0vXziRBz/YT2PngTxcr26r5YPiRgpSopiUEcusnPigecEWjEvkk2flEx3uHWR/xoQk0uLCqWsb2XqXmxhJfnIUdpvBbgw3LMjh+nm5zPIbfC8icipSgCUntYwx8kDNyUsA4JkPK9ldO7SLbLj0+PBRr5WTOPq9YiMdzB2XyNxxQ5OCPvth5YjgCmBvfQcPry6joqmTq2fn8JlzCgZzP9lshs+fX4jLY/H4unIsC4wBmzFBW5e2VbVxzZzsIQHWnNwE3txRh9tjsWxWJs9vqmZndfuQ4AogwmHj9nMKeG17Lc9srOLswhQunJLOn5fvHTHQ/jNLxg8GVwDZCVH84qMz+d7T2yhrPjBzckJqNP914USWTEzjhgW5GFC3oIicNhRgyUltalYcy2Zm8dxmb9eYMRDhsNPd78YYuGhqOo0dvfzlvX20d7v46LycIWvgDQh32HDYbQEXKAZYWpTK7LyR2dQH5CZGMjcvacR2j8fiyQ3Bxyit2tfIsllZ3Pt2MdkJkRSkRtPY0UdaXDgzs+O5+yPT+djCPPY3dhIb6eTZDytHrQ+X+8D4skUFScRFOnl9ey2J0WEUpsZwwZQ0Xt5aM+ScCIeN71w+hXte2Tmk2zHCaeNrF0/i16/vprPPTVpsON+9YgoXTE4bcv47u+r4/CMbuOu8QorrOuhzebDbbFQ0d/GFRzcGTCshInKqU4AlJzWn3caXL5pId38/cZFhuDwWHb0uYiMcLJmYSmFaDHtq21mYn8Ty3fWsLmnixgW5vLqthhZfS1ZRegxXz87it28Us6QohckZsTy/qRqXx8JpN9x6xjg+vTifzPhIfnjVVH70/NDs8PGRDn5xwyySAmQ073W52TtKRnPL8gZh187N5uE1+9laeaD16dyiFL59+RRm5SYMdqmtLx05kN1fXnIUV87MxGm3sbG8hdUl3gFjPf1uGjt6mJWbyLPDxmn94Kqp3P3ijiHBlfccD798bTe/v3k2EU47kzJiR6SW2FPbzp0PrWdObiIPrSqjsmXkOLaHVpWxeEIKl83IHLXsIiKnEgVYctLLT4nmwqkZfOupLYO5qGZkx+Ow2fjZSzto6OgjKszOBZPT6ex18eT6CpYUpRIdZscYQ0tXH+8XN9Ln9hDusPPdy6fwuXMLaersIyUmnAlpMYP3+sSZ+czIjmdNSRNtPS5yEyM5c0Iy41NjApYtwmlnbl5CwMADvIlK85OjeerDyhHHvLO7gcaOTTx4+0ISo73dl2dPTOHetwMv/JyTGMn6/c2s2jdyFH5eUhSVzd1sqmjhvEmpvLXTOx5t/rhEtlS2Bsy3BdDd72ZbVRtfurAo4P5V+xrp6feQGhvOB/saAx4D8ObOOgVYInJaUYAlJ71tVW185+mtg8FVZnwEGfER/NsvqWZXn5sXt1QzLSuOmTkJvLXzwJIvdy4dT7/bw21n5nPG+CQSosJICZIE1G4zzM9PYn7+yO7AQIwxfGRONs9vrg64//zJadS29QQNwLZUtbGmtJlLpnlnQi7IT+LHV0/jB89uG3JcUrSTO5aMH7EdIC7CgWXBuv3NXDMnmyUTU1i+uwG3xyInMWrUlBAAzV3BF6UeWF9xrGV/attGptEQETmVKcCSk97wRJdnTkjmqQ2Bxyptq2rj2rnZbChrxhj4zDkFfO7cQuKO4vigJUWp/HjZNH7y4vYhA9QXFiTR2esec82+/Y0HuhjtNsMti8YxPTueNfuaaO3pJzcxisWFycRFOGlo7+Vv75cMdvdNy4pjVk7CYF6rzRUt3HFOPn/9xDx+88Ye3B7veKnRJMcc6Prs7nPR5/YQF+HEGENKrLdlzWGzYQxBs9kvPMiAVETkVKEAS056rT1DZwX2u0YmEvUXE+7g/10zg6lZcUzPjsduG30x5yPltNv4xFn5LBqfxMayFlq7+2no6KW9x0V7r4sI5+gZzaPDhn5M7TbD3LxE5gYYdH/upFR213XgtBmMMeyqaeeRNQdSPTR19pEeH8WUrAQWFSTxxLoKPtjXSHykk9YAKS9iwx2cU5hKZXMXL2+t4dE1ZbR09XPBlDSumZPNmeOTCbPbWLm3gfMmpQ1pGRwQ6bRz7rCB8SIipzoFWHLSy00cOvXfP59UIHERDm5elHc0ixRQTmIkr26r5fdv7RlsyQp32PjsOQXkJkUGTHTq8HVJHqyM+AhWFjcEXWD5rAnJxPta66LDnZw3KY2/vrdvMEmpf5AVF+ng+1dMJS0ugi899iFr/QbYP76ugqc2VPKXj8/l25dN5p5XdtLd5+aCKWm8vbNuMEHquORI7v7IDGZkxx/0cxARORUowJKT3pnjU4YkurTbTMAs6ANm5SQcu8L5eW5T9Yg1A3tdHu59ey/funQS97yya8g+Y+Bn10ynKD3wAPpAshKi+Pz5E/nZSztG7DMGrp+fO6TFblxKNN+/cirfeXoLCwuSiA5z4PJ4cNhsLC5M4rq52Ty6tnxIcDVgenY8f3h7L1ur2rhkWgY2Y4gOs/HlC4sId9goyohlVm48iVGj5xcTETkVKcCSk152YiR/vmUeX3tiI/saunhvTz1XzMgMOLD80mnpLByffNTK0ufysK2qlerWHuIinMzOTSAmwkFzVx9/DDL7D+DlrTU88tlFvL6tht21HUzJiuP8yWmcUZA8ZovccDfMz6Gtu5/73t072FIWH+nkx1dPY8nE1BHHXzo9k6yESJbvrqeurZeYcAeLCpJYUpSCzWbjGb/cW3abYbGvFSwrIYL73i0BGLFET7jDxktfPEfBlYicthRgySlh7rhEnvzcYtbvb6aps4/M2AgWT0zhgRWl7KhpJz0unM+ePZ5ls7MGu8iOREePi62VLbT1ushJiGRyRhxlTV388rVdQwK7aVlx3P2R6fS43Mwdl8js3AQcdhvVrd1D0ilsqmglNzGKHy6bfsRlS4gK42uXTGLZrEz21HXgtNuYnh1PVkLwLOozcxKYGaBlz7KswVmGM7LjmZQRy9s762jvcXHBlODjqnpdHrZUtg5JcSEicjpRgCWnjMSoMC6ckj5k25Uzsmjp7iMm3DG4DM2RWlfaxI+e386WSu9afTYDXzivkA8rWnh3d8OQY/c3dvHspioeWV1Gr9/g+/zkqCGLM8dHOokKG32we0ePi7317VgWTEiLITZi9ECxKCOOooy4IdtqW3t4e1cdL2yuprW7j4umpnPhlHSmZgUeI2WM4dLpGbR09w9JfRHusA2ZuRmIyzP6ZAMRkVOZAiw5pcVEOIiJCN3bfE9tO7c/sJbW7gODyD0WlLd0jwiuAC6Zls6DH+wfEYyUNnYRHe4YXJz5M2cXkBwTuDvNsize2lnHr1/fzVbfOoNTMmP58oVFXDglHdtBzoKsbu3m609s5v3iA+XcUtnG394v4R+3LQg6mP6iqelUtXTzr3UH8or1ujzEjlKvdpthSmZc0P0iIqe60RPgiMgQ7+2pHxJcDQiUGsJh8y7MHKylZ1tVGxdOSefmhbm4PB5e2VpNY0fviOOW767nsw+uGwyuAHZUt/MfD63n7V0j0yIE89q22iHB1YC2bhe/en03PUGyuU/Nig+Yqb6mrYfxKdEBz/nsOQVMyVCAJSKnL7VgiRyCTeWtAbcHGogeG+GgqTN4FnSAffUdQ8ZszcyJ55fXz2JieizgXcvwwQ/2B5wRaVnw9/dLWDwhhYgxuhf7XO7BZKOBrNzbyK7aNmblBl7QOtC4tRXFjVwyLYMJaTEs31VPn9tDakwYnzuvkGvn5hx0y5qIyKlIAZbIIQi0oDN4A6GYcAcdvQdatzp6XSREjT5OangW9c0Vrfz2zT385sbZOOw2alt7AybvHLBybyOVLd1jDibvc1s0d45MJOpv+GLP/qZnxwdMffHqthriIhz84WNzyEyIID0uYsSC0CIipyN1EYocgrMmBE7x8PbOem6Yn4PDr9Wm320R7gj+ERufEk1ZU+eI7S9uqWZ7tbc70G4zQ645nM2Awz52S1FMuGPUWX9xEQ7GJUcF3T81M44vnD8x4L4zJySzoCCJ6dkJCq5ERHwUYIkcgjMLk/nEGeOGbHPaDUuLUpiVE88fPjaH6+flMDcvgQumpBEVZucTZ4xjeA9iakw48/OT2FDWMuIelgWNHd6uxayECG5YkBu0PB+ZnUVuYvDAyN9Vs7KCBmtfOH8iWQnBr2OzGe5YOp5fXD+TqVne7suMuHC+e/kUfnL19JDN0BQROVWoi1DkEMSEO/n6JZNYOD6JV7bW4LEs8pKieHRNOW/tqufq2Vm8uLmalJhwdtd20NHrIj7SydWzssmKj8DpMOQlRVPR3MWv39gT8B7GQIpvRqExhsunZ+Byeejud+Ow29ha2cqeug7iIh1Mz0446LFOZ4xP5r6Pz+NHz2+jzLcsT4TTxhfPn8iNowRxA6LDHHx0Xi6XTs+kpSu0qS9ERE41xrJGz2VzLM2fP99at27d8S6GyEH7/Vt7+OVr3uVvlkxMYWtVW9CB7VnxEZxdlML45Bgy4sP5r39tCnjcsllZ/OqGWTjsNjaVt/Cdp7dQXNfB0qJUwh020uLCyU2MZGN5Gy9tqeKFL5w9It/VaJo7+9ha1Uqfy8OE1Bjyg8wEFBGR0Rlj1luWNT/QPrVgiRymvfUd3PvWgeVv4iOdo84arGrtobvXzT2v7GR6dhxfuaiIX7+xG/+/cebmJfClCwpx2G1UNXfxuYfXExXm4KpZWbyytWZwEP3EtBgunZ4BGEoaOg8pwEqMDuOcAEvmiIhI6CjAEjlMe+s7hmRn7+h1Ex/ppLU78Gy91NhwGn0B2NbKNmZmx/P05xbzYVkz3f1uClNjWFCQOLh+3wf7mmjo6GPZrBSeWF8x5Fp76jooe3cfV83KJMxhY01JI1sr28DAjKx4pmfFERmuj7eIyPGib2CRw+S0D50j8n5xPZfPyOTZjVUBjz9nYsqQhZMfW1vOpxcX8KnFBQGPL23sZGlRKq9srQm4v9flodflYU9dBz97aeeQfRdPTWd8SjQLC5I4pyh1sKx9LjfVrT04bIashMhDXkhaREQOjmYRihym6VlxpMUeWN6m321R09rDgvyRyTrPnJBMaUPXkDxSTruNlu5+tlW1Ut3aPeKc2AgH4Q4b7b0jM8cP2FzRygt+iUoHvLa9lsbOPm5/cB0PrdqPx+Ph7Z213PHgOpb+/B2W/vwdvvvMVrZUtBzakxYRkYOiFiyRACzLorypC5fHIjMhgkjnyI9KamwEP1o2jbse2TAYOK0uaWJKZix3LCkg0umgvr2XHpebLRXemX8DzpqQTHpcBLf9Yw2dfW5iwx3csWQ8Ny7IJS3Om0tqQX6St9tvFDHhDrqDJAh9d089Z4xP5qcv7iAxyslXHt80WE6Xx+KR1WW8urWa/7t9UdDFnkVE5PAowJLTWr/Lg3NYMtAtFS08vLqMf6+vwOWxWDQ+ic+eXcD5k0curHzp9Awe+PRCntpQyfLd9SRFhXHj/FwunpZBVkIkb++s49MPrB0ykH1aVhy9Lg9P+3UXtve6+OXru9lV287/XDeD6HAnM3MSWDIxhR3VbUOCM39TMmN5ckNlwH21bb0szE9iRnY8f3xnb8Dldho7+3lhc7UCLBGREFOaBjntuD0WK4obeH5zFWtLmhifGsNHZmdx3uQ0ypu7+fjfVtE4bFkZY+CPH5vLZTMyA17T47Fo7+0n3GEjwtfa1dnroqmzj9217XzvmS1Ut3oXcr5xfi7/WlcetHwPfWYhZxd6Z/n1uz28tKWab/x785AB9QCLChKJi3Dy+o7AS+kkRYcxPSuOhKgwntsUeFwYeAffv/WVpcQGWG/wSGyuaGH5rnq2VbWSGR/JkqJUzpqQTLhz9HUTRUROFkrTIOLnyfXlfOPJLYOPSxu7eGtnHXecU4DTYRsRXIE3u/ovXtvNWROSiQ+QXNNmM8RHerd39bl4eUs1/1hRyraqNtJiw/nU4nymZsbhtiw2lbeMWr5tlW2DAZbTbuPq2dnkJUXx8tZqXt1WS0Kkk4/Oy+WCKWk8t6kqaIC1tCiV5zZVcUWQoPDAk4Mj+TOrtq2H5bvqeXFzFc1d/Vw4LY2CpGi+88xWzpqQTJjdRmNnH79/q5gPy5q567xCBVkicspTgCWnlX31HXz/2W0B920oa6GyZeRg8wF76zvYU9fB/PykoMdYlsVf3yvh16/vHtxW197L/7yyiwunpPHzj85iV037qGW0B8jMPicvkTl5iXzt4knYbbbBY66dk83milZe2jJ0oPvCgiQqW7pxeyzC7IbxKdHsaxi57iHAR+dlE3eQrVe9LjdNHX04HTZSYsKpbe3hG09uZvnu+sFjkmPCeWdnPZdMyxiSu2tcchTNXf2sLW3ibOXhEpFTnAIsOa18WN4yoqttwMG04oyV1mBHdRu/ezPwEjhv7KhjVUkjs3MTuHp2Fh6PhcNuY2dNGzuqDwRds3ISgl4/zDG05SctLoL/uXYG18/LZv3+Zpq6+okJs9Pn8dDQ3scd54wnzGHjnIkOSho7GT4iICHKyZWzskZ/0ni7QN/ZXcfDq8p4e1cdMeEOPnHmOBKjwoYEVwCJ0U5SYsN4Yt3Q3F37G7v4V0s5+clRCrBE5JSnAEtOeQ0dvXT3uUmOCaM3yIw7gK2VrXx0Xg4Pry4LuL8wLYbC1NGXldla2UqEw0ZuUhRt3f1UtfYM7nPYDDUtPfzw2W3UtfcObp+ZE88l0zJ4dVsNn1qcz8ycQxtwHhvp5LzJ6Zw3OZ199e38+PkdvOMX9MSGO7hxQQ63LhrHpooWNle0YrcZzilM4cIp6Uw7iAHub+6o5eVtNUSF2blyZhY2Y/hgbwPd/SPD0rzEKP6xsiTgdfrcHjYpNYSInAYUYMkpq6ypi6c3VPD3FSW0dbuYkxvPdfNyyU6IDNgV2OvyMG9cAq9vrx0SAIF3kPvXL5kUcPyVP48FZ09MYW99J9mJkZw5IZldte1srWzj8hmZ/O+ru+juHxrkba5oxWbgdzfNZklRKluqWvmguJGq1m7ykqJYXJjCzFFatQb0uz387s3iIcEVeGco3r9yP1fPzqKrz82VMzOxLFi1r5HZeWNft6Shk8fXVfD6jtrBbXab4c4l43k2wOB5t2XR1h08d9eakmY6e11EK9O8iJzC9A0np5S27n46el30uTx87YlNrNvfPLjvw/JWPixv5TNnF/Dw6rIRgU5echSLCpL5xycX8MT6cnbVtGFZhtgIBx9bOI7zJo/erfXathq+98xWXH75ENaWNnN2YQpTM+Ow28yIew7YWN5KUnQYr22r4ZtPbRnSlee07+Z3N80JOoNxwPaqNp4JkkXe5bHo6nNT3tRFsV/Kh2mZY69h+PSHQ4Mr8M7E/L9V+zl3UioVzUOD1dauwEsFDYiPcuK0K4O8iJzalMldTgmNHb08sLKEK373Hmfd8xZ/fW/fkODK38Ory/jKRRNx+AaKGwMfmZPFXz4+j+zEKMLsNhIjwyht6GZfQyfjU2NIjQ0bdfxVXVsP3316y5DgasD7xQ1My4qlJ0hwNWBXbTvfGhZcgTdD/Jcf30hJfeBcWAOqRhmgD1Dd2kOqX+b5xROSWVAQfMA+QE1rDw+s3B9wX1uPi7TYiBHB0uqSplG7OW9emDtiLJmIyKlGLVhy0uvo7eenL+4YTNwZF+mgsjl4sNHd7yYzPoJ7b55DRUs3lS3dbK9q5Rev7uKy6Rn84rXdVPuNnfrLu/t4bG0Z939yIXPHjVwGB2BTRQv1HX2j3NNDUXoML28N/jz6XJ6AyUABevo9rC1tpiA1Juj58WPMBEyODmNffQfhDhufPCufW8/II2GMLs+Gjp6gi1cDPLa2jB9fPY1739o72O1a2tjJly6YSHFdB13DxrwtKkjioikZo95TRORUoABLTnrrSpuHZEU3GDxjJNCtbOlhT10Hb++so7HTGxhFh9lx2G1DgqsBbd0u7l9ZwqzchIBpFMZqnep1eVhcmMJv3ywOuD8tNoyYiNE/jm09o3e9zcxJYEZ2PFsqWwPuv3p2Fl+6YCIJUU7ykkcfrD8gNsJJuMMWdOZlQlQYWfGR5CZFMm9cIh7LwrLgz8v3cvHUDPrdHnbWtBEX4eS6eTmcPzmNrITIg7q3iMjJTF2EctLbPGxWWmt3Pym+rrAJqTHMzUskMepA6064w0Zdew9lTV2DwRXAWYUpLN81dIC4v+c3V1PaGDiXVEFKDAHirkEL85OYnZvI1y8uGrEv0mnnFzfMJsI++scxe4zAJCbCwY+WTSM5emRL1ufOncBFU9OZmZtw0MEVwLjkaG5dlBd0/6XTMkiOCaesqYvnNlXxwuZqXtxSTVuPi2c2VvLGjlrOHJ/EY3cs4tYzxim4EpHThlqw5KTnCdC4Ehlm42ML89hU0UJ1azezchJIj4/g5S3VfPyMcdS29bCmpGnIOU67odcVvCXKsrxrFwYyNTOOmxbm8UiAFA/xkQ6mZ8fxv6/s5NVt1Vw7Nxu7Mbg8FlMy4zhnYgpTMuMob+oiOdoZMJP8hNToMcdLAcwdl8gTd57Fir0NFNd1EB/hZEF+EgsLkg47e/ql0zN4v7iRXbVDE6SeMT6JjeUtpMVFcNd5hXz36ZH9n70uD0uL0ggPsFi2iMipTN96ctKbljV0JtyM7Hj21nWyat+BAKq6tQebge9dMYX85OghXYoDNpa1sKggmQ/2NQa8z8yceHKSokZsb+nq46FV+ylt6OSKGZm8vr2WPrc3EJubm8AXL5zI957eyl5fJvXy5kpsBsIdds4u9AZXALlJUdz38fl89YmN7G/0jmdKjQ1n2axM8pNj2LC/eTBQbOjoZV1pE7VtPSRFh7MgP4mM+AgAxqfGMH6UsVrBlDV1sq60meauPjLjI1lYkERKTDiNHX3ERzm5dm42/S4PxhgcdsPO6na2V7cR7rDxl0/Mo72nn9+8sYeefu9zj4t08IMrp3Le5LRDLouIyMlOAZac9BYUJLG0KHUwo3hRegxPbhgZQHks+O2bxTx8+0JcHou4CAdtPa7BRZF7XB7Gp0axprQJd4DR5p87dwIxAXI3PfBBKb9+3Zu9PS7SwcXT0jFAmMPGp87KZ01p02Bw5V+W7n43P3t5B2dPTCE9zhsczc9P4unPnc2GsiY6ut2s3NvAP1eUDg5+T44J47+vmsovXts1GIQNbP/9zXM4a0LKYdXhWzvr+OKjHw4uawMwLjmS3900hzCHjTUlTawJnDuUuEgn0eFO7lxayMVTM9hV247dZpieFUdWwsiAVETkdKAAS056CVFh/Oya6Ty2tpzH1pTRMsqst9bufipaepg3LpH4SAcey1DX3sOGsmYinXay4iP42sVFPLepanD5mvEp0XzloiIunJI+4nr76jv449t7Bx+3dbt4YfOBdQFnZsfz3KbqEecNaOzoY2d122CABdDe009shJMVxY08vn7ocjPTMuP42Us7RwzEb+zo487/W8+zdy0edaYheNcTXFncyFs7aylp6GJSRgztPSMTg+5v7OYr/9rE325bQFpsGHXtgWdJXjj1QL0MtJ6V1Hewr76T6tYeJqXHjTmAX0TkVKNvPTklZCdGcde5hczNS+TtnXUs862v986uOtqGBQ8dPf3cvCiP5zdW8f1nt9Lv9jYPtXW7eGZjFRNSo/nDx+bQ3e/BbVkUpsYETWdQ0tAZdIYdwIq9jVhjrHI4sLexo5cHV+3nL8v3ccGUNF7bVjvi2OSYcN7d0xDwOm09Lj7Y1zRqgNXn8vC390r4+au7Bre9X9zgzcy+dDz/eL+E7v4Dz2dvQyd76tr50bLp3PXIhhFpJM6blMoSv3UFm7v6ePbDSrZWtlLd1oPH8gaoF01N59xJ6ioUkdOHAiw5JVS1dPOzF3fwwpYDrUUOm+HauTm8u7uemjZvi4/NQGVLNy2d3nFTA8GVv731nby7p5E7lowf875xEU4KUqIpa+oK2K3Y63Zz1cwsNpUHTp2QFOVkckYcHo/FH94u5h8rSgEwMDiOy58rwDZ/JQ0d/OT5bWypbKMoPYYLpqRzVmEy4b7Enh+WNQ8Jrga4PRb/eL+Uu84rZPnuetaWHkjSWtPWw8fPGMf/fXohz2ysYvnuelJjwrlpYR4XT00fkrz0uY2VPLS6bEi2+A/2NrKiuIGfXmM4u1CLPIvI6UEBlpwS7l9ROiS4Au/yMI+vK+eG+bk8vq4cgIumZvB/q/aTGhvO1qq2oNd7bM1+bjtr3GBgMlxVSzfv7Krj+U3VRIfbuXJmJv1uDy9tqRly3BUzspiRHU92fASVAfJrXTEzk84+Fzuqe7l/ZengdluQnA922+ipHOrb+3hmo3f82ZrSJh5aXca3LpvMZ84uwGG3sba0Kei53f1u9tR1YIxhSmbsYBdpcnQ4xhgWT0zlrMIUOnvdOO1mxKzEkvoO1pY2DwmuBpQ2dvHMh5UKsETktKE8WHLS21vfzgMflAbdX9bUSX5yFFfPzqKurYeGjr7B4CGY7n4P7gCtWwDlTZ184ZENfOfprXywr5GtlW08u7GKVfua+Oi8nMHjzpuUyrlFqTS293H1nGyumplJmC/XVVF6DDcvzOW17bWs3NvAnvqOId1vu2raR8yO9JbLHXCgPXhb7AJ1R97z8k42+XKFdfSOnhDV47FYU9I0OLMxNSaM+fkHstcbY4iJcARM+VDe3M3bO+uCXvv5TdVUNneNen8RkVOFWrDkpFfX1jvqOKi99Z1cNzeHB1aWDi62XNfeM+rA7WWzsogKEsi8uLmG9WUtI7Y3dfZR09LDeUUpTMqM46zxydS29fDClipe2lpNtNPBneeOJ8Jh45WtNTy6xtuqVtbYxdy8oUvw7Kxp56YFuVQ0dxMdZmdhQTJujweH3fDdyyfzoxe2D6ZDALDbDDcvzOPJDUMHxQ9YW9rMvHFJ5CePPqvP6fAGgC63d5blb2+aM2QA/miMgc6+4AFcr8szYukcEZFTlQIsOeklRIVhMwRdxy8rPoJXt9UMBlfgbYn5ykWT+NZTW0YcHxVm5/IZmQGv1d7Tz4OrSoOWZcW+Bm5dNI4/L99HbVsv7+yqo7nLO6uxrdvF794sJjrMzhUzs9hc6e2ijItwMis3YTBtxIB/rSvnP5dOYHdtB89uqhxcBHpvXSd/umUuZU3dVLf2kBITRnS4nZ++sCNoANPpS79w5oRk0uLCqWvrHXHMjOw49tR6u/eSosN49vNnU5By8FnfJ2fEMikjhl01gRelnpASfdDBmojIyU5dhHLSK0qP5erZ2UH3T0yPpWRYHqrr5mZzzZxsfnn9LHL8lm9ZUpTCPz+5gFm5CQGv1dvvprUreBoIy/ImHo2LdNDe0z8YXPnr7HNT2dJFepx3cPjC8UlkJUTyk49Mx/gNvZqQGsPa0ibe2FGL/9KKmytb+fq/N7OkKNU7vuqc8aTFRozaejQ+JZq6th763Ra/v2nOYPdjUnQY183N5qYFuRSmxVCUHsOXL5xIQUoUe2rbBxdwPhipsRHcsmhc0P2fXTKeuDEWpBYROVWoBUtOenab4T+XTmBnTduIsVXLZmWy3W8we6TTzg+unMJ5k9Jw2G1cNy+H8yalsb+pkzC7jcK0mFGXlEmICuPcyam8uLkm4P7U2HBauvs5a0IKb+4YmWZhwMq9jVw5I5NZuQlkxUeysbyZaVnxPPTphTz1YSUr9zZy7qRU/vZeCVMz45icGTuYRd1pN6wuaeL9PQ309Lvp7HWRnxzNvHEJrN/fMuJeuUmRdPS6uOCXy2nvdZGVEMF3LptMZUs3TZ393PfuviHHR4XZuX5+Lj96fjsx4Q6+d8UUrp2bg2OMtRIBbpifS2evm9+/tWewNS3CaeO/Liji6tlZY54vInKqMJY1eo6eY2n+/PnWunXrjncx5CS1t7aDD0oa2N/YRVS4g3l5iczNS6CksYvdNe04HYZZOQmMO4TFjgNZvruOT/1zbcAuyZsWeGcsXj4jkxe3VDPax+uft81ne00bf35nH+29Lhw2w43zc/nU4nwyEyJ5dmMlL2yups/lYd3+5iHnXjItnbzEKO7/oJR+t0VsuINvXT6Jt3c28IZfYLcwP5GFBUnc65cMdcCPl03lB89tD1i2pOgwZubE845v8ev7Pj6XS6YF7jYNpKyxk22+wHZyZtwhdTWKiJwsjDHrLcuaH2ifWrDkpNfd5+LZjVXc+1YxFS3d2Ix3kPqFk9OIiXAyIzueGdnxANS39/Di5ir2N3YRE+Fg/rhEpmTGYUzgtAiBLJmYyr03z+VHL2yj1jeWKdo3bmttaRMeCz4sa2FRQdKQ9RD9XTYjnTd31vGQ3+LQLo/Fw2vK2FzZyl8/PheHzUZydBjPbx6ZCf7VbbXcuXT8YB6v9l4X3316G1+7uIj/XDqeuo5eEqPC6Ort59MPrA9YhkAD9Qc0dfYR79ed93+ryji3KO2gF4zOS44m7wgDWRGRk5kCLDmptXf3c//KUn75+u7BbR4LntlYxQf7Gnn4M4soTIsFYHtVK198bOOQPE12m+Huj0znhvm5QXNPDWeM4fKZmSwoSGR7VRttPf28v6eRZzZWDs5mrGzpZklRCutKm3ENa+oyBq6YnsXnH/0QgLykKGbnJmBZFu29LhKjwvjRCzsoTIvhjR3B0x4s31XPtKy4wZYigF+/sYfzP5/GZdO9rU0/f2UnUWF2FuYnYbMZ1u1voq3bhd1m6Btl5iUwJHHqyuIGmnyLQIuIyNg0yF1OWjWt3fz1vX0jxhANqG3r5a2d3i6urj4XP3pu+2BwNSUzlkUFScRHOvn201tYXRI8AWcwqbERLJ2UxlWzsrn1zHHMH3cg1YLNgM0Yfn/zHBb4bZ+ZHc9fPj6Pjt5+jIEbF+SSGhvOc5uqeH5zNfERDj7Y18DLW2soa+oaMvNxuH0NnWQlDA143B6L3X4BZGpsGOdMTGVDWTOr9zWyID+Jj87LwQARY7RGOf3GXCVGhxEZJOmqiIiMpBYsOWk9sb6CkoZOOnpHLlQ84OUt1dyxZDybyltYXdrEwoIkchIj2VrZyr6GTmZmx5MeH8HK4nrOnJB82GWZkR3P329bwLbqVlq6+smIj2BKRhw2m2HppFT21XdgWVCQGkNMuIMn1pVz5YxMXtlaQ6tvcWpjwGazUdPq7Xbs6fcQ6bQHDbJyk6KoCjDLbyCZ6dbKVn73VjFNnQdmMr65o45Ip53r5uXQ3ecOev2JaTHsbzww8/JTZ+WTEB14PUYRERlJLVhyUqpt7eGv7+4bc+xURJi31aWho5e5eQm43B6e2lDJ7toO6tt7eWd3PU+sKz+kMVij3WveuCQumJLOtKz4wS7HqDAH07MTmJGTMJiFfVZOPDZjBoMrgLTY8CFpEd7dXc8FU4IvkDwnN2FI9yBAbLiDmb7xZv9eVzEkuBrQ3e9mf2MnkzNiuO/j80iKHpo6YWJaDFMy49jgG6M1Ny+BZbOCp8EQEZGR1IIlJ6WW7j7aely0dveTEhNGQ0fgjOxXzvSORUqJCSc/JZqnNlSOOMZjwSOry7j1jHGkHaNEmEUZcRTXD03I6XJbOO0HAr3ufjet3f3MzUsYDHYGLJuVOSK4AvjhsqnkJEVR29bDo2vLRuwfsGpfEz+4cipTs+J58YvnsH5/M61d/cRFOuhzWzy/sZJLpqVz/uR0zpmYMqIrUkRERqcAS05KSdFhJEU7eW9PPbcsGsdDq/ePSIkwKyeec4u8iwvPyk3gvuWBx2oBNHT2saWylQuOYabx4Uk3Gzv7RmQ6f29PA9Oy4rh2bjZuj8XEtBgW5CeRkxTJ2zvreXjVfmrbezljfBLXz8tlie/5ejwW/e7RB7HbfS1smfGRXDlzaAB13dycQKeIiMhBUoAlJ6XU2AjuWDKBe17eyfObq7hxfi4lDZ1sLG8hLsLJR+ZkccuicWQnetfeiwpz4PKMHnCMNasu1K6amckHexuHbKto7h4xM3BbVRvbqtr46UemkRIb7st75eTWM8bx0Xk59PS7iY1wDgZMAGlxEVw5M5PnNo1M8QAwb1wieUmjr0soIiKHLyRjsIwxXzPGWMaYFL9t3zbGFBtjdhljLgnFfUT8fXRuDtfOzaalq5/H1pZT2dLN0qJUPnNOAXedV0j+sOSWS4uCj2cKs9uYkBZztIs8xHmT01g0PmnItjUlTSRHh/GF8wvJSYgg0mnngslpfPXiIn71+h7+8X4p/1pbxi9f28W60kYinHYSosKGBFfgbZ26aWHekC7HAcbAnUvHExmmv69ERI6WI87kbozJBf4GTAbmWZbVYIyZCjwKLASygDeAIsuygs85R5nc5dB197nYWN7KtqpWjIEZ2QnMyokPmBBzT207N/91VcDxWl84v5CvXjzpWBR5iMrmLl7dVsNDq8po6e7nvMmpXDsnm8WFqbT39NPZ5+K+5ft4a2cdZ45P5v3iBiqau3HYDEuLUvn04nwWT0wNev13d9fzx3eKBxOezsiO5/PnF3LRlPSDzvslIiKBjZbJPRQB1r+BnwDPAvN9Ada3ASzL+n++Y14F/tuyrA9Gu5YCLDnaNpa38Ns3dvO2bwmY2HAHnz+/kBsX5JIQdfzSEHT1uehzeYiLcA4JfD4sa+amv6zi6tnZPL6ufMR52QmR/N/tC6ls7ua9PQ1UtHQzKT2GpUVpzM5LAKCn381eX5qI/JTowZmMIiJyZI7aUjnGmGVApWVZm4ZNc88GVvk9rvBtC3SNO4A7APLy8o6kOCJjmp2bwH0fn8fOmna6+tzkJEaSk3j8xyJFhTkIFN/tb+zi3ElpvLi5KuB5fW4PT6wr509+A/hf2gL3vl3MvTfP4ZLpmUQ47UzLij9aRRcRkQDGDLCMMW8AGQF2fRf4DnBxoNMCbAvYVGZZ1l+Av4C3BWus8ogcqTCHnZk5Cce7GAclKsxOmN3Q2Re4d33JxJQhwdWAfrfFV5/YzNSseHI1mF1E5JgbM8CyLOvCQNuNMTOAAmCg9SoH2GCMWYi3xSrX7/AcIPCf4CIS1OzcBF7bXht0//B1Dv119LpYv79JAZaIyHFw2LMILcvaYllWmmVZ+ZZl5eMNquZallUDPAfcZIwJN8YUABOBNSEpschpJC0ugitnZJIQ5Qy43z1KgAXQ3jPqvBIRETlKjspSOZZlbQMeB7YDrwB3jTWDUEQCO3dyGl+9qCjgvoTIwIHXgNwkZWAXETkeQjadyNeK5f/4buDuUF1f5HR288I80uMi+L9V+1lR3EBshJNPLc5nycRUXtxSTXPXyDUH549LZP64pABXExGRo03ztUVOAg67jYunZbC0KJXGzj4inDaSosMB+Osn5vPNf29mb0Pn4PHnTEzh+1dOJSZCH3ERkeNB374iJ5Fwp33Ewsvz85N48nNn8WFZC63d/WTGRzAzN55Ipz7eIiLHi76BRU4BCVFhnDc5+FJAIiJybB2VQe4iIiIipzMFWCIiIiIhpgBLREREJMQUYImIiIiEmAIsERERkRBTgCUiIiISYgqwREREREJMAZaIiIhIiCnAEhEREQkxBVgiIiIiIaYAS0RERCTEFGCJiIiIhJgCLBEREZEQU4AlIiIiEmIKsERERERCTAGWiIiISIgpwBIREREJMWNZ1vEuwyBjTD2wH0gBGo5zcU4mqq9Do/o6eKqrQ6P6OjSqr0Oj+jp4x6quxlmWlRpoxwkVYA0wxqyzLGv+8S7HyUL1dWhUXwdPdXVoVF+HRvV1aFRfB+9EqCt1EYqIiIiEmAIsERERkRA7UQOsvxzvApxkVF+HRvV18FRXh0b1dWhUX4dG9XXwjntdnZBjsEREREROZidqC5aIiIjISeuECrCMMT8xxmw2xmw0xrxmjMny2/dtY0yxMWaXMeaS41nOE4Ux5ufGmJ2+OnvaGJPgt0/15ccYc70xZpsxxmOMmT9sn+oqAGPMpb46KTbGfOt4l+dEY4z5hzGmzhiz1W9bkjHmdWPMHt//icezjCcKY0yuMeZtY8wO3+fwS77tqq8AjDERxpg1xphNvvr6kW+76isIY4zdGPOhMeYF3+PjXlcnVIAF/NyyrJmWZc0GXgB+AGCMmQrcBEwDLgX+aIyxH7dSnjheB6ZbljUT2A18G1RfQWwFrgXe9d+ougrMVwd/AC4DpgI3++pKDrgf73vG37eANy3Lmgi86Xss4AK+alnWFOAM4C7f+0n1FVgvcL5lWbOA2cClxpgzUH2N5kvADr/Hx72uTqgAy7KsNr+H0cDAALGrgccsy+q1LKsEKAYWHuvynWgsy3rNsiyX7+EqIMf3s+prGMuydliWtSvALtVVYAuBYsuy9lmW1Qc8hreuxMeyrHeBpmGbrwYe8P38APCRY1mmE5VlWdWWZW3w/dyO9xdhNqqvgCyvDt9Dp++fheorIGNMDnAF8De/zce9rk6oAAvAGHO3MaYcuAVfCxbeD2K532EVvm1ywKeBl30/q74OnuoqMNXL4Um3LKsavEEFkHacy3PCMcbkA3OA1ai+gvJ1eW0E6oDXLctSfQX3G+AbgMdv23Gvq2MeYBlj3jDGbA3w72oAy7K+a1lWLvAw8PmB0wJc6rSY/jhWffmO+S7eJviHBzYFuNQpX18HU1eBTguw7ZSvq4OgepGQM8bEAE8C/zWsx0KGsSzL7RsukwMsNMZMP85FOiEZY64E6izLWn+8yzKc41jf0LKsCw/y0EeAF4Ef4v3rOddvXw5QFeKinZDGqi9jzG3AlcAF1oGcG6dlfR3Ce8vfaVlXB0H1cnhqjTGZlmVVG2My8bY+CGCMceINrh62LOsp32bV1xgsy2oxxryDd7yf6mukxcAyY8zlQAQQZ4x5iBOgrk6oLkJjzES/h8uAnb6fnwNuMsaEG2MKgInAmmNdvhONMeZS4JvAMsuyuvx2qb4OnuoqsLXARGNMgTEmDO9EgOeOc5lOBs8Bt/l+vg149jiW5YRhjDHA34EdlmX9ym+X6isAY0zqwKxwY0wkcCHe34eqr2Esy/q2ZVk5lmXl4/2eesuyrFs5AerqmLdgjeEeY8wkvP2o+4E7ASzL2maMeRzYjrcr7C7LstzHr5gnjHuBcOB17/cXqyzLulP1NZIx5hrg90Aq8KIxZqNlWZeorgKzLMtljPk88CpgB/5hWda241ysE4ox5lHgXCDFGFOBt7X9HuBxY8ztQBlw/fEr4QllMfBxYItvXBHAd1B9BZMJPOCbzWsDHrcs6wVjzAeovg7WcX9vKZO7iIiISIidUF2EIiIiIqcCBVgiIiIiIaYAS0RERCTEFGCJiIiIhJgCLBEREZEQU4AlIiIiEmIKsERERERCTAGWiIiISIgpwBIREREJMQVYIiIiIiGmAEtEREQkxBRgiYiIiISYAiwRERGREFOAJSIiIhJiCrBEREREQkwBloiIiEiIKcASERERCTEFWCIiIiIhpgBLREREJMQUYImIiIiEmAIsERERkRBTgCUiIiISYgqwREREREJMAZaIiIhIiCnAEhEREQkxBVgiIiIiIaYAS0RERCTEFGCJiIiIhJgCLBEREZEQU4AlIiIiEmIKsERERERCTAGWiIiISIgpwBIREREJMQVYIiIiIiGmAEtEREQkxBRgiYiIiISYAiwRERGREFOAJSIiIhJiCrBEREREQkwBloiIiEiIKcASERERCTEFWCIiIiIhpgBLREREJMQUYImIiIiEmAIsERERkRBTgCUiIiISYgqwREREREJMAZaIiIhIiCnAEhEREQkxBVgiIiIiIaYAS0RERCTEFGCJiIiIhJgCLBEREZEQU4AlIiIiEmIKsERERERCTAGWiIiISIgpwBIREREJMQVYIiIiIiGmAEtEREQkxBRgiYiIiISYAiwRERGREFOAJSIiIhJiCrBEREREQkwBloiIiEiIKcASERERCTEFWCIiIiIhpgBLREREJMQUYB0BY8w0Y8yHxpg2Y8yZh3juJ40x7x+tsp1OjDF/NsZ8/xjfc5sx5txjec/RGGP+nzHmv453OeTgGWPWGGOmHea5txhjXgt1meTEcTr9jjDGNBtj9htjbjreZQklBVhH5tPAPiDBsqwPAIwx+caY0mNVAGOMZYwpPMJrlBpj8g/h+IuMMW8bY9qNMY3GmI3GmG8aYyKOpByHy7KsOy3L+smRXsf32lnGmA3DtqcYY/r8X1fLsqZZlvXOQVzzqH9JGmNSgU8A9x3N+5zKjDH3G2N+GuJr3maMWe/7A6zCGPO/xhiH3yG/AH58iGX8JIBlWQ9blnVxKMt7COU4pt85xph3jDE9xphcv20XHsvv2WCMMdbxLkMw/u+Xgzj2v32v6/V+2xy+bflHq4wDLMtKBH4OfOto3+tYUoB1ZJKAHZZleY53QQ7HsC/7gz3neuDfwCPAOMuykoEbgRwgd7RzTyLRxpjpfo8/BpQcj4Ic5Gv0SeAly7K6j3Jx5NBEAf8FpACLgAuAr/ntfw44zxiTeeyLdnwczneOTydwTFupT2bGGPthnNYE/Pgwzw2FrUDycbr3UaEA68g4gFGDK2NMrjHmKWNMva+1594Axwy0nDj8tr1jjPmM7+dCY8xyY0yrMabBGPMv3/Z3fYdvMsZ0GGNu9G2/0teq1GKMWWmMmel33VJfa9NmoPNQvvCMMQb4FfBjy7L+allWE4BlWbssy/qCZVl7fMctNMZ84Lt/tTHmXmNM2BE+V2OM+bUxps63b/NAEOTf+mCMSTTGvOCr72bfzznD7vUTY8wKXwvca8aYlGFP9f+A2/wefwJ4cFhdlBpjLvT9/JIx5pd++/5ljPmHMWYK8GfgTN/r0zL8+foeD2nl8tXPXcaYPcBAnQZ9TYHLgOV+559rvC0mX/XVV7Ux5lPBXle/8yKNMb803qb6VmPM+8aYSN++ZcbbLdriK/+UYXXxdd9r0mmM+bsxJt0Y87Kvjt8wxiT6jh14/e8wxlT5yvZVv2uFG2N+49tX5fs5/GCel+/cXxhjyowxtcbbdRw51rnGmDuAW4Bv+F6n533bv2mMqfQ9h13GmAvGqkN/lmX9ybKs9yzL6rMsqxJ4GFjst78HWA8ccktUkPfM54wxe3zl/YkxZoLxfg7bjDGPmwOfwYG6+I7xfsZKjTG3+F0r6PvTHOPvHD+/A242QVrOjDFTfOVu8b1Pl/ntu98Y8wdjzIu+ulltjJngt3+yMeZ1Y0yT73W+4TDKN1BP+3z3KBlWp581xuzw7dtujJnr2/4tY8xev+3XjHL9oOX0Pcc/Ge93USdw3mE8hVeAPuDWIPePN8Y8aLzfrfuNMd8zxtj8nvv7vs9fs+/5Xzbs3L/7PneVxpifmpGBnAfv79RTh2VZ+ncY//C1XgGfGeUYO7AJ+DUQDUQAZ/v2fRJ43/dzPmABDr9z3xm4NvAo8F28AfHgNXz7LKDQ7/FcoA7vX8x2vIFCKRDu218KbMTb2hQZoMwfAzYHeT6TfffLH6Nu5gFn4P2w5Pvq6b+O5LkCl+D9ZZQAGGAKkOnbdz/wU9/PycB1eFsPYoEngGeG3WsvUARE+h7fM6xs+UC5r/6mALuAC4FSv+uUAhf6fs7w1fn5eH9R7wNih7/OgZ5voGN8ZXgd73ss8iBe03pggd/55wIuvN1PTuByoAtIHON1+4OvbNm++5wFhPvqqhO4yHe9bwDFQJhfXawC0n3n1gEbgDm+898Cfjisjh/F+5mY4Sv/QF3+2HetNCAVWAn85GCeF/AbvK1CSXhf++eB/3eQ596P7z3kezwJ73sgy6/cE/w+Iy2j/MsLUr/P4Huv+W37HfCrw/j++SQj3zPPAXHANKAXeBMYD8QD24HbhtXFr3yvz1Lf6zvpEN6fx+Q7x788vvI+5Ns2+Hn0vZ7FwHeAMLyfw3a/53M/3taZhXi/kx4GHvPti/a9zp/y7ZsLNADTDvH1iAba/O6ZOXAN4HqgEliA97urEG/r/8C+LLzfdzf6XoeB77XBeh+rnL7n2Io3gLcBEcPKl8fo783/Bh4CluH9/nL67jP4fY/3j8xn8X628oHdwO1+Ze0HPut7D/wnUAUYv/f+fb7nkQasAf5jWBnG431fzj7Uz8OJ+u+4F+Bk/Ad8wffGWwU4RznuTLy/PBwB9vl/ePIZPeh4EPgLkBPgOsO/7P6E7xeS37ZdwFLfz6XApw/zeZ/tu1+E37bHfB/cLuDjQc77L+DpI3mueL80d+MN3GzD9t2P3y/HYftmA83D7vU9v8efA14ZXjbgDbxB3T14A76gAZbv8bV4vwAbGBoAD77OgZ5voGN8ZTj/EF7TfmCy375zge5hdVwHnDHKa2vznTMrwL7vA48PO7YSONevLm7x2/8k8Kdhn5dnhtWxf3n/F/i77+e9wOV++y7hwC/SoM8L7y+uTnxBkN/nr+Rg6mT4ewjvL8E63+se9DN+CJ+dTwEVQMqw7XcD/ziM6wV6zyz2e7we+Kbf418Cv/GrCxcQ7bf/ceD7h/D+PCbfOf7lwRtwt+INIP0DrHOAGvy+F/AG8P/t99r+zW/f5cBO3883Au8Nu999+P4gOIQyRuP9HryOYUEk8CrwpYO8zkbg6uH1PlY5fc/xwSOo4//mQPC6Gm+ANBhg4Q2aeoGpfuf8B/COX1mL/fZF+c7NwPuHV69/vQA3A28HKMcvfOc9c7jP5UT6py7Cw2BZ1u/x/oWSAVw9yqG5wH7LslxHeMtv4P0FssbX/P3pUY4dB3zV11TeYrzdUrl4/0oaUH6Y5Wj0/T84ZsSyrJssy0rA22JhBzDGFBlv11yNMaYN+BnecSgHI+BztSzrLeBevK0stcaYvxhj4oafbIyJMsbc52vCbgPeBRKGNUfX+P3cBcQEKMeDeL80bsb7l91YXsD7/HdZlhWKQe3+r9FYr2kz3r8q/TUOe98Fe54DUvC2GO4NsC8L2D/wwPKOOSzH21o1oNbv5+4Aj4ff2//57efAcxlyr2H7IPjzSsX7pb7er45e8W0f69wRLMsqxvuHwX8DdcaYx4wxWYGOHYsx5iN4A/XLLMtqGLY7Fu8v5lA4lNeg2bKsTr/Hw+v5UBzN75xBlmXV4/0OGD4xIAsot4aOhd3P0PdnsM/8OGDRsLLfgve7/VDK1ok3CLoTqPZ1R0727c4l8OcKY8wn/LpWW4DpBP6uPJhyHnEd+3wP7x+V/pOWUvC2Dg7/bAasY8uyunw/xvjK7sRbLwNlvw9vS9YgY0wa8EVgiWVZHwnFEzneFGAdJsuyaoAPgKmjHFYO5B3EmIOBL7oov22DHxzLsmosy/qsZVlZeP9q+GOwsQi+e95tWVaC378oy7Ie9S/+GOUJZifelotrxzjuT75jJ1qWFYe36d749h32c7Us63eWZc3D+xdsEfD1APf+Kt7unUW+ey/xbTcBjh3Nk8AVwD7LsvaPdTDelogdQKYx5ma/7YHqupMgzz/IeWO9ppvx1seRaAB6gAkB9lXh/ZIEBsfi5eJ9Lxwu/wkReb57jLjXsH2jacAbREzzq6N4y7JGCyr9jXidLMt6xLKss33lsYD/gcEUCR2j/MsbuIYx5lLgr8BVlmVtCXDfKXiHERxricaYaL/H/vV8MO9Pf0fzO2e4n+MdXzTPb1sVkDswHsgnj4N7f5YDy4eVPcayrP881IJZlvWqZVkX4f0DdCfe133gHiM+V8aYcb5jPg8k+/5Q3Urg76qDKWdI6tiyrNfxdrl+zm9zA96W8uGfzYOt4168rbcDZY+zLGt4ipKJQKtlWe8dfulPLAqwjkwv3qg+mDVANXCPMSbaGBNhjFk8/CDfX2aVwK3GGLuv1cZ/EOb15sBA7Wa8HyS373Et3r7rAX8F7jTGLDJe0caYK4wxw1s4DpnlbcP9KvBD36DNRN89JuJtBh4Qi3c8Qofvr7j/9LvGYT1XY8wC33Ny4v0F0ONXB/5i8f6ibTHGJAE/PMzn2om3W/IzYx1rjFmCtwvoE75/vzfGDPxlVwvkGN8AY5+NwLW+1rZC4PYxbjHWa/oS3nE0h8331/8/gF8ZY7J8r82ZxjvA/HHgCmPMBb76/yre9/7KI7jl933PfxreuvuXb/ujwPeMManGO/ngBxxEC6Kv/H8Ffu37SxhjTLYx5pKDLM+Qz5ExZpIx5nzf8+/B+55y++71sO+XW7B/Zb5rnI93vM91lmWtGX5D37Xn4R1vN7DNMscuv9qPjDFhxphzgCvxjleEsd+fx+w7ZzjLslrwdnd+w2/zarzfCd8wxjh99XcV3uELY3kBKDLGfNx3rtP3XTMFBgdvl451EeOd1LHMF7T2Ah0c+H76G/A1Y8w8X/0U+oKraLzfb/W+a3wKbwvWIZfzKPgufnVsWZYb7/fA3caYWF/5v8LBfTargdeAXxpj4owxNuOdgDH8O8uJt+5OGQqwjoyHUerQ96a8Cu94jjK8YzBuDHL4Z/G2yDTibaHx/+W1AFhtjOnAO5D1S5Zllfj2/TfwgPE2vd5gWdY637XuxRugFOPt6joovr/Ot43ynP4F3IB3psnAmKPH8Y6bGviC/hregavteL98/zXsMofzXON812rG2zTdiLe/frjf4B0Y3oB3jNwrB/G0gz3XdZZlBWzaH2C83ZQPAp+3LKvS1z34d+CfxhiDd4D3NqDGGDPQPfRrvLN1aoEH8P4SHrUcjP6aPghcbnwz5o7A14AtwFq8g4L/B++4ll14X+/f463Xq/C2yPQdwb2W430ebwK/sCxrIGnmT4F1eFvltuDtej7Y/FTf9F1zlfF2D7+BtzXzYPwdmOr7HD2Dd/D3PXifbw3e7ozvHOS1Bnwf7wDzl8yB1q2X/fYvwzuGpQrA94dFB97nfbTV4H0vVeF9/91pWdZO376x3p//zTH8zgngt/j9ceV7Hy7DO5u2Afgj8Am/5xOUZVnteGdx3oS3Lmrwvu/DfYfkAisOokw2vH94VOH97CzF1wJkWdYTeFu4H8H7nfgMkGRZ1na8weIHeOt6RrB7HUQ5R2WMyTPDWldHY1nWCrwNBP6+gDeQ3Qe873s+/ziY6+H9wzMM72SLZrypfoanJ7Ezxqz8k83ACH85DMaYn+GdKbXMsqz+410eOX353ot1lmX95niXZTTGm7SwBO/A8SMdm3hSM8asxjsLa6vv8a14uzi/fZTvey7eAc05Yxx62jPebPlfsixrx/Euy6nOGPMN4KOWZS083mUJFQVYR8AYMx5vBD8N71/0q45zkUROaAqwjj8FWHKiMcbU4521+w3Lsl483uUJlVMrqdcxZlnWPrxTnkVOCr6umHEBdv2HZVmjdlWKiBwNlmWljn3UyUctWCIiIiIhpkHuIiIiIiGmAEtEREQkxE6oMVgpKSlWfn7+8S6GiIiIyJjWr1/fEGwM2QkVYOXn57Nu3brjXQwRERGRMRljgq70oS5CERERkRBTgCUiIiISYgqwRERERELshBqDJSIiIqeX/v5+Kioq6OnpOd5FCSoiIoKcnBycTudBn6MAS0RERI6biooKYmNjyc/PxxhzvIszgmVZNDY2UlFRQUFBwUGfpy5CEREROW56enpITk4+IYMrAGMMycnJh9zCpgBLREREjqsTNbgacDjlU4AlIiIiJ5Xypi7WlTZR3tQVsmu+8sorTJo0icLCQu65554jvp7GYImIiMhJYXNFC995agt76joIc9joc3mYmBbDz66dwcychMO+rtvt5q677uL1118nJyeHBQsWsGzZMqZOnXrY11QLloiIiJzwNle0cON9q9ha1Uavy0N7j4tel4etVW3ceN8qNle0HPa116xZQ2FhIePHjycsLIybbrqJZ5999ojKqwBLRERETnjfeWoL3f3ugPu6+9189+kth33tyspKcnNzBx/n5ORQWVl52NcDBVgiIiJygitv6mJPXceox+yu7TjsMVmWZY3YdqQD7xVgiYiIyAmttq2HMMfoIUuYw0Zt2+ElK83JyaG8vHzwcUVFBVlZWYd1rQEKsEREROSElh4XQZ/LM+oxfS4P6XERh3X9BQsWsGfPHkpKSujr6+Oxxx5j2bJlh3WtAQqwRERE5ISWmxTFxLSYUY8pSo8hNynqsK7vcDi49957ueSSS5gyZQo33HAD06ZNO6xrDV7ziM6Wo6arz0V7j4vYCAdRYXqZRETk9Paza2dw432rAg50j3TaufuaGUd0/csvv5zLL7/8iK7hT7+5TzBt3f28srWG+1eWsqeuncK0GD55Vj6XTc8kLvLgF5kUERE5lczMSeBf/3EG3316C7trD+TBKkqP4e5rjiwP1tGgAOsE0tvv5ndv7uFv75cMbttR3c43n9zCjuo2vn3ZFMKd9uNYQhERkeNnZk4Cz3/hHMqbuqht6yE9LuKwuwWPNo3BOoFsqmgZElz5u3/lfjaWtxzbAomIiJyAcpOimJ+fdMIGV6AA64TR3t3PO7vqRz1GAZaIiMjJQV2Ex0lDRw9gaO7oZU1pM2tKm/B4RiY68+caY7+IiIicGBRgHWMby1t4an0FT26owBjDORNTmJYdx/ObqvjInOxRz52WGXeMSnniaejoZU1JIztr2nHabMzJS2DeuEQiNcNSREROQPrtdAyt39/Ebf9YS0eva3Dby1trWFHcwDVzstle3cb8cYms29884twLpqQxb1zisSzuCaOkvoOv/XsT6/e3DNl+7dxs7lw6gaL02ONTMBEROSV8+tOf5oUXXiAtLY2tW7eG5Joag3WMeDwWD31QNiS4GtDW46Kps5+a1h6cDhtXzcwkKsw7WzDSaecTZ47jx8umE3sapmmwLIu/rygZEVwBPLWhkgdWlLKtsvXYF0xERE4Zn/zkJ3nllVdCek21YB0j5c1dPLsp+Mrc7+6p55Jp6by0pYYIp40lE1MJd9joc3u4YkYm2YmRx7C0J4699Z08tqY86P4Py1uw2w3fz4jFadffCyIip4W+LgiLOvD/EVqyZAmlpaVHXi4/CrCOEbfHYrQx6m6Phd23cndPv4fXttcCcPmMDGbmxB+LIp6Qqlq6Rh3c397bR2yEg5+9uIOShg4K02M5f1Iai8YnY7cd2UroIiJyAlr7d3j5G7D4S7Dit3DZ/8KC2493qUZQgHWMZCdEcs7EFN7b0xBw/1mFyTjtNmwGPBaEO2zcdmY+n1ycf1oO5P6wrJkn1lfQ2tVPhNNGT//IRT5jwx1cOi2TP76zF8sXg72zu4G/vVfC3R+Zzs0L87ApyBIROXX0dXmDK48LPviD9/+XvwGzbg5JS1YonX6/uY+TcKed288uYEVxw4iWLIfNMC4pije213HlzCymZcVx3qRUijJO/lmDNa09rC1tor6jl5SYMBbmJ5MRP/pq5xvKmvnE39fQ0esiKszOhVPSeWFz9Yjjzp+Sxj9XlA4GV/6+/+xWZuYmMCP79G39ExE55YRFwVlfglX3gqsHHBFw5l0nXHAFCrCOqaVFqfztE/P5w9t7WV/mnSk4f1wiy2ZnUd3SzW1njmNBQRLz85NOie6t1SWNfOGRDdS19w1uS40J496PzWXR+OSA51iWxaOrD0wG6Opz09jZx6KCJFaXNA0eZzOQFB0WtPvQY8G60iYFWCIip5K+Llj5W2/LlSPCG2St+C2c87UTLshSgHUM9Ls9bK1sZW9dBxFhdn51w0w6et1gYHxqNN29bt4vbuC9PQ1sq25jZ00b50xMZXxqzPEu+iHbVdPGiuIGel0e/vLuPpq7+ofsr+/o486H1/P8588mJ3Hkh6GypZunPhw6GeCDvY1MTIvhurnZ9Lk8JMeE09rdT1Nn34jz/XX0jJyxKSIiJ7GwKO+Yq5e/4W25GhiDdYTB1c0338w777xDQ0MDOTk5/OhHP+L2249sXJcCrKOsprWbX72+m8fXVQxuiwl3cPc101k2K4uGjj6+98wWXt1WO7j/5a01ZMZH8JePz2fGSTTAfWVxA599cB2dfW6umZM9Irga0NzZz6p9TXx03sgPhGWBJ0Cf3566DvbUdQDw51vn0tXnps/l4dmNVUHLMy4l+jCfiYiInLAW3H5gzFWIWq4effTREBRsKAVYR6Cho5cd1W24PRZF6bFkJYxMpfD390t5fF0FNgNLJqYSH+XE47F4Z1c9abHh7KvvHBJcDahu7eH3b+3hD7fMPSnSDzR19PH1f2+ms89NXKSDgpRorpqZiTGGNSVN1LT1DDm+tq074HUy4yO4dFoGL2+tGbEvKz6Ca+ZmY7cZJqTGkBEXzqT0GHbVdow4tiAlmkUFSQHv0ety09blIiLMRmzE6ZdbTETkpDcQVJ1g3YL+FGAdBo/H4uWt1fz0xR1Ut3oDh7hIB9+4ZBLXz8sl3OlNErqntp37V5ZgtxluWZTHy1tqqO/oHbzO7tp2zggSBAC8tr2W5zZWsr+pi8SoMBYVJDE168Rs0dpQ1kxlSzdnTUgmLtLJ79/aQ7/bwhg4a0Iy8/MThwxUT4wKC3gdh93GrWeM440dtfS7D7RkXTItg47efv7w9t4h235w5VR+/3Yxq/YdGJ81f1wiP1o2jfS4oYPp+90e3tpZy6Ory1hV0kRqbDifPCufK2ZkkhF/euYZExGRo0MB1kFyuT3sb+rC5fawo7qNt3fVM29cImEOG919bl7ZVsP3ntlGpNPOdfNyAW8rVL/b4qqZmTy5voLOPveQa26raqPP5WFuXiIbykYujwPwzq56nvcFJnab4Vc3zOLq2aOvWXg8tPX0MyE1Bo9l8Ypf65NlwYriRvKSoji7MIX3ixuIcNpYVBB4kDvA4sIU/vHJBfzl3X28t6eBeeMSKW/uYntV25DjXt1WQ0VzF3+9bR5ljV3Ut/eREhPGrNwEogKktnhiXTnfefrAEgjlTd385IUdvLu7gV/eMIuUmPAQ1ISIiIgCrIOyrrSJf6woYV1pMxdOSeORYZnFE6Kc3LIwj4dWl/H7t4q5YEo6CVFhxEZ4q9dht40IrgbsqevgmjnZAQOsmHAHva4D+Z/cHouvPL6JgpRoZuYkhO4JhkB2QiSzcuN5akPgbPVlTV0syE8k3GHjtzfOZkLa6AP4z5mYysL8JPY3drK1qo2vPL4p4HHbqtrYWNbC5TOyRr3e/sZOfvrijoD7lu+uZ2VxA8tOwMBVROR0YFkWxpy4s+etQPmAxnDiD+45zjaVt/DJf67lpS01LClKHRFcAbR09bN8Tz0LC5Iobeyistk7vmhqZhxLJqbQ7x6ZJNOfK8j+i6ams3x3/ZBtbo/Fqr2Nh/lsjp7ZuQmD6ycG47DZuGRaBvUdo8/+GxDutFOUEUd9e++ox+2t6xzzWlsqWukKEuQCrNx34tWpiMjpICIigsbGxsMKYo4Fy7JobGwkImL0HI7DqQVrDM9urKSj14XTbuge5Rd0eVM3c/MSsRkIc3ij8HCnna9fMon3ixsob+piU0XgRYln5MSzfE89bd3etAJ2m+GSaensre8Y0oI1oOEgA5RjKdxpp3CMVqnufjfPbarinV11nD85LeCkgEAinKMHbhFjBHYArjE+uL39wV9bERE5enJycqioqKC+vn7sg4+TiIgIcnJyDukcBVijaOnsG8zJFB3uoLU7cNqBAR6PxdKiVL77zFYum5aB3W7j3+sr2FndTnZiJNfNzWZ3bQdbKg8EWvGRTs4uTOXcolT2NXTR53LjsBm+9+y2wTxPcREOzp+cjoWF22MRG+GgqqX7oAOUY+Ws8ck47WbI4HR/Drs38GzrcbGrpv2gyz9vXOLgEkKBzB+XOOY1JqfH4rCZoIlJF+QHHxMmIiJHj9PppKCg4HgXI+TURTgaAzZfn3B7j4uk6MAz3wZEhztIjA5jf2MXa/c384Nnt7G5opU+t4eShk6e3FBJUnQY4335mSKcNm49I4+r7n2fj/75A+rbe8hJjGJKZhypMd57JfrGd9mMb0Fom+G94gZuuG8lm8pbjurTP1RFGXF874qpAfedPzmND8taBh8PBFsHY2pmHN8Pct1vXjo5aLb2jt5+VhQ38MzGSho6evn25ZMDHjchNZpzJqYcdHlERETGYk6kPs/58+db69atO97FGOJ/Xt7Bn5bvA+C6udk8t6kqYAvN/HEJTM+O5/6V+7l2bnbQwd4AX79kEp29/VS29PDSlmoKUqKZnZvIyr0NVDR3Exvu4NYzxlHV0kV+SgwbypqHLBKdmxTJ0qI0NpY38ehnzzyhcjn1uz0s31XPv9aVsbWyjcz4CApSotlW1cbOmnaSosO4dFo607PjCXfYmZEdT1FG7KjXbOnqY0NZC/sbO+l3e3h/dz0psRFcPiOTc4pSCHeM7CLcWtnKD57Zyga/IHRWTjwfWzSO/311J40dfdhthuvmZnP72QVMOgXWfRQRkWPLGLPesqz5AfcpwBrd9uo2PvmPNdS19xLhtHHjgjz+va58yKzAqZmxFKRE8+IWb3qCZbOyeG5T8AzjXzq/kD+/u49el4fk6DDOnJAccDHjq2dl0tbj4u1dI/ulY8MdnDsplevn57CkKC0EzzS0Kpu6+NXru1lX1sz+xi4AJmfEMjEthpe21uD2ddU57YYvX1jEpxbnExkgtcLqkkb++9mtTMrwtlJ197t9i0YncvmMTJwByBti8AAAwalJREFUgqu6th5u+usq9tWPHPyenxLFXz8+n+4+N9HhDsanRp/QM1dEROTENVqApTFYY5iaGcc/P7WAf6+r4JE1ZfxrTRl3LB1Pn8uiurWbnIRIVu5rHAyuYOzpnJ397sHB6+dMTOW5TYFbu2w2W8DgCqC914XdZqPxBBzwDpCdFMUXLpjI85uruH9FKZ19Ls6ZmMJf3ysZcly/2+J/X91FRnwE184dOoBwT207dz28gctnZPLomrIhLYePrimjqrWH288uIGxYkLWmtClgcAVQ39bLnroO0uPCMTYUXImIyFGhAOsgTMuKZ9qyeO48dwJuj0Vvv5vzfrkcgJzEyBGDtcMcow9ty0uMZFFBEmmx4SRFO4MO3g6WvmFAS1cfGSfYQHd/+SnRfOH8iXz8jHG0dPZxy9/XBD32b+/vY44v4erumnYinDbsNhsLC5J4Yl3FiG5ZjwU/f3UXuYmRXDlraP6qMl+L2XBnF6YQF+ngy//aSK/LQ5jdxi2L8vjU4gLykk/c5RZEROTkc8SD3I0xucaYt40xO4wx24wxX/JtTzLGvG6M2eP7f+ypXie49LgIshIiSY+PYG5uAgAVzd1MSI3GvyFkU0UrZ44PPCvtnMIUYiKdVLZ08/zm6lFTLthso7euJEQ5mZF94o8dSogKo9fjobIl8PqDAIWpsdz+wFq++vgm7nt3H399r4SN5S047Ta6g6RQ8Fiwfn/LiO0DCV79Tc2Mo6vPzUtbagZbD/vcHv65spRvP7WZlq4TsyVQREROTqGYRegCvmpZ1hTgDOAuY8xU4FvAm5ZlTQTe9D0+JUSFOfjMkgNTSl/cUs2ti8aRGe9NQlZc10FkmI3PnF1ATLj3l32E08adS8dz3bxsvvKvTVT4kpEaA8HiqNbuflJGmbl43uRUYsJPnAHuo4kNdxIZJJ9VdkIk9R29Q7r1el0eosLsg2O1gunoc43YNj8/CcewSp2SGRt0OaIVextZV9oUcJ+IiMjhOOIuQsuyqoFq38/txpgdQDZwNXCu77AHgHeAbx7p/Y7ElooWtlS00tnvwu32MCM3kQXjksbs0gvkoqkZ/OqGWdzz8g7q2vt4aPV+Lp6SxufPKyQnMZLJGXGkx0fw6bMLaOjoJSHKSYTDzmW/e2/Idd7f08DlMzIDDnJ3uz389JrpfOmxjSMSjn72nAIunppxyOU+XrISIrntrHH82Tcj09+8cYkjJgW4PRZhDhtjzcEIFIBOzojlZ9dM55tPbRk8vy9AwlZ/O2raufAkqk8RETmxhXQMljEmH5gDrAbSfcEXlmVVG2OO21S3tu5+HvyglL+/X0JzVz92m+HswhS2V3ewqayF288poKa1hw/2NlLd2k1idDhnFCQxOTN495vTbuPauTmcXZjCrpp2ACZnxpIaOzSVflbCgTFaK4obyIiLYPEEb86l8qYuPixvYVdNOzfMzx1M0xAX4eD2swv46LwcshOjePw/Inl7Vx0fljWTkxjFuUWpLJ6YEnDW3YnspgV5rClpYoNfPiyAtNjAiyyvLW3ihnk55CRGDrb4+UuIcnJGgK5YYwwfnZdLfnI0y/c0sLeunYz40Zc4CLMrJZyIiIROyH5DG2NigCeB/7Isq+1gZ2cZY+4A7gDIy8sLVXEGWZbFn5fv5Y/v7B3c5vZYLN9dT3ZCJB29LjLiI/jv57cNLlUD3vQBv75xNlfOHH0R4bS4CNLiDm59otq2Hlxua7C1ZnxKNLeeMY7NFS24PB7On5zmXTQ5J97bzeX7pT8rN4FZvjFf4B3cvq60ma4+F3lJ3sSkJ9psuI1lLby3p559DR1kJURxdmEKCwuS+NHV01ixp4Hi+k7C7DYW5CcyPjWGBz4oHTGQvbypmyc3VPKF8wr5y3v72OvXhZgZH8GXL5zIkqLUgPe32QwLxyez0BeAbShrHjGD0d9sv/oVERE5UiHJg2WMcQIvAK9alvUr37ZdwLm+1qtM4B3LsiaNdp2jkQdrV007V/zuvaBLpFw7N5t+t4dXttaM+AXvsBme/fxipmUFzhR+KN7dXc+n7l87YkzRwoIkYsPtvLnzQDoGY+Cucyfwn+dOIHrYGKv39tTz/We2UuqbKWe3GT5x5jjuXDqB9IMM9I62l7dU84VHPxxR51+/uIgHPyiltr2PMLsNj2UxKyee//3oTB5aXcY/V5QGvN7183PIT4zC6bDR1NVHYpSTM8cnMzP34OdN9Ls9/OaN3fzh7b0j9t1+dj7fuGQy4WOseSgiIuLvqObBMt6mk78DOwaCK5/ngNuAe3z/P3uk9zocu2raggZXAHVtvcRGOIgKG7nWoMtj8cHexiMOsPrdHh5eXTYiuAp32MiMj+DZjUPHH1kW3Pv2XhKiwnDaDbERThbkJ9HS1cdnH1xHT/+B8URuj8U/V5Riw/C9K6cc95as0oZOvvL4poB1/ovXd3PNHG+W+z5fCor1ZS3c/dJOfnjlFGrbenjJL59YmN3GtXOzeW93A63Z/YQ7bMzOjeeyGVkHvY5hW1cfW6taaerqY2pmHL+4fibv7Krj3d0NTEyL4eZFeVwyLUPBlYiIhFQouggXAx8HthhjNvq2fQdvYPW4MeZ2oAy4PgT3OmT2McbWOO02YiMctPcEXsh5YMHlQ7Wntp2VexupbOmmKD2a17bXjDhmSVEqb+6oC3qNf6+vAGBnTTsx4Q7+68KJQQd93/9BKR+dn8OUUcaNHW09/W5e3FIVNK2CZTEkyDQGCpKjKWvqor6jj19dP5tFBWWsLW3GZgyWZbGutIklk1J4YVM17b0unt9czW/fKuY7l03h2rk5o05QeHJ9BY+uKWPdfu/swbl5Cd7uVAz/c91Mmjr7iA5z0NPvPqGWGxIRkZNfKGYRvg8Eaza54Eivf6RmZscTHWYfsrSNv+RoJ30uK2iyz7TYQ+92W1Fczx0Prh+856XTM3DabIOtNgMiHDY6ekemGRhQ0tDJ0qJUdta009Hr4n9f2cXlMzJ5ZuPIzO9uj0VZU9dhBVh7atvZWtWKx+NNZ3C4Y7qe31TFzur2wcdhdhtLJ6US6bRjWRZ2m43ocG9AtLQolaToMPbUteNyW7y1o464SCfR4Y4hMypvXpjLo2vKh9ynrdvFt57aQky4gytnBR4j99SGcr755JYhLWkbylrYUtnKdXNz+Pv7JbR091Psy+r+mxtnc+YELfgsIiKhccpPncpNiuL7V04NuG92bjwXT8tgS0VLwP3hDhtnTQicMDSY2rYevvTYxiEB3criBpZOGjkYu9/z/9m778C4yivv4987VSNpRjPqvTdLtmzLcm9gMKabEiBAAgEChE3blE3blE3bZJNN3iSbXum9mW66wb032VbvvdfRaMp9/xhJ1mhm5CYDxufzD+jeaRJFPz/Pec5RMU6zApNoNdHWPzLx9dSANlWo4dS2uRxON397r5r7Ht7DW0fb2Vjayk1/3c7/vl5Ovz3wil4wHQMj/HLjsYnC/AiTnhsXprCjuosXDjTz4sEWXjjQxPCom6+tzaG+e5jn9jVxuMk7BPqPm6r41N93kGgNwTzWO6woOYKdNYF7VwH8Y3M1wwH6YA06nDy+qyHgNqXTrVLXNUxzr52iZO/Wb1u/g3sf2kN1x+Apfc9CCCFEMB/7gAXwiQXJ/O3TC7hwbDUlxWbiSxdl87PrZjMvxcqvbpxL4pRj/GEGLX/61AJy482n9F576nr8urP3j7gIM+iInNKz6f3yDi6eFbx7RXGqlQONfT7XBhzOgA07s2LCmZNo4XBTH4/vqufxXfUcauydtlHnm0faqOkcwmLS89LBFt6v6GR5djS1nUM8vy/wfMRgKtsHaR8YpaF7mKyYcNYVxvPIjjr6R1zoNHBTSQqfXZHB4aY+2gYctPaN+L1G+4CDp3Y18ZfbFhBu1JEWGUrVtKFHobJ9kN4p27hlrQPTBrPtNV0sSLPhnNQbq3/ExbaqrlP6noUQQohgzq1GSqdJp9WwtjCe1Xmx9NmdeDwe3i3v4GtPHqKqY5DcuHC+sCYbW5iexm47tlADCzMiSYsKO6nXd7k91HcP41GD12xtONDEVUWJGHUa3j7WjkdVWZQRRXasmdlJwxxu6vd5/KqcaCra/cNFvCWEEZfvdqdJr+VHVxfwt801/OndqontTo0Cn7sgi/tWZWE2+dYY2UddlDb38diu+om6LrvTzWuHW0mMCMGgU7h8MIHo8MA9qqbSj61c7a7r4TNL06jvGUZV4a4VGTjdHt4+1s7AiIuSNBuJESaumpvAk7sbA/6cvnBRNi9+YTmlzf28fqTNr8lqdmw4xak2dtV2c/XvtxATbuDulZmsn5dEXEQIGkVBUQhar6ZRFDwqGHS+26DTjfIRQgghTsV5EbDGGXQaLCE6/vuVozywrW7i+qGmfg49d5i7V2bw9XV5GHWBt9ocTjeHm/vps48SZwlhVryF3XXd3L+1duL0290rMwI+V1XhhQPN3LksjdV5MbT3O9hc0cHG0lbmp1i97SLGxsMYdFq2VnUFXL25tDCexZlRvFHaSlu/g2XZUVyUH8vh5j6/FgQeFf74ThXJVhO3LE7zudfcO8Jz+5sDhpDmvhFQFToGHAEDlsej0jq2dRlvCUGjUciLN5MXF05Z2yB2p5sjzQPcsSyNLZUdHGs9/n28daydd8s7+M5l+QF/Th4VugcdLMyIIiMmnL31PfxzUvuGqDADs+LNPLn7eF1Wx+Ao//3qMXbV9vDLG4qICNFxYW4Mb5d1BHgH7zzII819rJ3SuT3CJIXuQgghZsZ5FbAA9tX3+oSryf72fg3rZsdTkhbpd6+0uY9fvHaMTeWdgHd16Jp5iQw43LxxpG3icXvqesmODacywOpTiF5D/4iLPruTzZWdxz9TQy/7GnpZmhlFojWEWTFhbDjgv0X3o/WFLMuORqtRuHpScXff8ChffGxf0O/5z5uquHxOAtbQ41uUDd3DtATYpht3uLkPs9E/aO6u7eaxXfU8v8/bWmL9vERuXphKVkw4n16axo7qbmLMRmItRrRajU+4Guf2qPxzSy23L0njge2+/yySbSb++n41Aw43a/Jj+eSiVDaVd0w0GV2ZE8MLAX42AG8cbeP9ik7+/n411y1IZlt1t9+JxjCDllhLCBkxYT6zDxUFFgcZ0C2EEEKcqvMuYB0IUtA+cb++1y9gNfUM828P76Wue3jimkeFZ/c1U5xqIz/ezLGxcTmtfXZuXZLGhv1NlLcdDxfWUD13r8zgN29WcM38JL8trMtmx1PWOsC26i6e3dfEpYXxmAxaQnQakmwmlmZFMzfZijbAZOju4dGJxqOB1Hfb6R4a9QlYeu30pwTdHpWoKatXu2u7+fQ/dvqElmf3NvHKoRY+tSSNv0/qlP6dy/IDzlcc19Rrxxzqv2K0KieGR3fWs6mskyfuXcL8VBv//MxCXjzQzNvH2gkzaoOe+ARvx/YDjX2Y9FpuXpRCXdcw71V0oKCwJj+GwsQIaruGaOoZZXe9d8CzosC9qzJxutw8v7+JMIOW+am2k94eFUIIIaY67wKWyzP9SbxAJ8+2VnX5hKvJ9tb3cF1xEsdaB8iLM5MeHcYvN5axIM3GtfOTcLk9RIYZMOg0VLYP4nSrvF7axi2LUnlmbyMjTg/xlhD6R5xUd3pXVFQVXj18vG/W72+eT3Fq8K7l4UYdFpPOZ9TPZJYQHeFG33/UMWYjMeFGOgYdAZ8zOymC1v4RMqLDAe+24CPb6wP2uBpxejjS3E+8JWRi67BzYMSvVmwqddLP2mLScfnsBN6v9G7rjbo9vHm0jfmpNtKiwnCr3iL4jOjpX3N8qPP2mm6y48zsa+jlollx6LUKR5v7eetYOxpF4YtrstFoFEJ0WpJsIVS1D3LDX7ZPvE6cxcj/XF/EBXkf2ghNIYQQ57Dz4hThZPnx0/eJCnR/8lZSIOOn0YqSI9hY6g1Ge+p6eG5fEy8ebOGBbXW09I2gUTToNAp9difP7m1iTX4sV89N5OZFKWyd5gTb8/ubmG6kUYw5hLtXZAa9f9eKDL95iSaDjnWFcQEfHxVmwO1RfVbYGnvtAbctx22r7qIk/XgIfHhnPQvT/bdax5mNOkoyIrl6biJXFSWwKD2SZ/Y20tB9vNB88qk+p8tDY48dj+pdcQom2Xa8w/urh1q4fGxl8MUDLVR2DDE7MYLri5P53VuVvHmkjR01XZQ29fNaaZvP64y3bjh4ghVPIYQQIpDzLmAtTI/kggA9qQDWFcaxIN3qdz3kBP2lFEVhVoKZQ019QR/z1tF2nG4Pn1yUikbxnth75VArLxxoprJjMOiJN/B2cnecYDXoiqIEFqf7r3ItyYzkEwuS/a4nRITg9Hi4dXEq2bHeVSqtRuGCvBhW58Uw5HD6hBUFmG5qpar6dpsdHvUQZzZiMQVeJL19WTohes1Ej6w3j7b7zYKc/P75Y+0ytlZ1snZW4GC4NCuKBWnHfwZdQ6M8vKMeq0nPtfOS+PLFOfTZnTy6s55RtweXR2VxRhSbKgIXwztc3tOPQgghxKk67wKWxaTnp9fO5r4LsgjRe7/9UIOWL1yYzQ+uKiTc6F8XVJIWfHvOqPMOLU62hVLbFXyly+50E2bUcrCxhx9dPZsvXZTNjSXJfP2SXK4vTg5YWzVuXoo16MnGcZvKOxh1q1xXnMRVRQlcVZTAdcVJuN0eWvrsON0en1UwnVbDNfOSeGp3I6EGLVcWJXBpYTwHG/vYsL+ZWxancbipj2Ot/bjcHhIiQri0MD7o+y9Mt7Gvodfn2m/eruC7V8xiSebxlazocANfW5vLHcvTmZ0YQV5ceNDXvGTSKb8lmVHMS4mgrd9Bc5+dGxYkEzNWIxVm0PL5C7L4xfVFFKfa+PoluT6vs6+hl+f2NxEbbqS5z7cVg9vjmTbc7qsP3k9LCCGECOa8q8ECSLKG8s1L87l5UQq9Q04iwwwkR4YGfXxJmo37LsjiT+/6tkFQFPjWZfnUdg6zr76bFFtowN5V4D1BePfKDJJtoRimhCVVVbmpJIVHd9YHfO76eUl+o2uqOwap6hjCoFVIspn43VsV9Aw7fUKOUafh6rmJPLazgf94+hAx4UauL07iollxRJuNLM2K5p+fKeHv71dPFKQvz4pi3ex4/uvFUpp7R1AUbwH+fauzuG1pGm8dbffrKK/XKmTFhLOrdkoYUSE31sI/bk9kT103w6NucuPCyYw53rz1R+tnc9cDu/1GBt2yKJVVucdXGqPNRn594zz+ubmGx3c1cKS5n9W5MVyQF8PijCjyJ40IuntlJjmx4bxwoIXS5j7mJEVw1bxEVufGkB4dxi9eOzbRwPVEQ55Pdqi0EEIIMZkyXW3PB62kpETdvXv3h/0xAhoedfFuWQcvH2yhrG2AhemRXDYnnhVZ0SgKtPaN8ObRNr63oTTg8z+3OpNvXTbL55rHo7K9uovXSltxON1UdQ6xe1JI0WoUvnNZPp9emj4x1HjA7uRfW2v447tVjDi9QSfOYmT9vEQe3dHgE1RuW5rG4zsb/ALRuoI4fnrdnIlTcg6nm7ruYVRVZWtlJz986ajf50+ICOGRzy6mpW+EP7xTOVEztiDNxtpZcfzt/Sq6ho6P19Eo8Ivri7h+QfIJ5xoea+lnU3kHe+p6iA43sDI3hhVZ0X7NUcEbRqs6hui1jxIbbiT1BM1gnS4P+injiIYcTo62DOBweYiPCOHuB3ZPHDCY6i+fLmZdYcK07yGEEOL8pCjKHlVVSwLek4B16jweFU2ALb0Bu5NfvVHO/Vtrfa5fkBfDT6+ZTZLNu0rWOzzK4aZejrUO8tNXjk5sURUmWsiPNxMRqicjKowFaTa/wct/ereS/3mtzO+9tRqFO5en87exVglLMiNp6LYH7U7+qxvmcv2U2qyKtgGu+N3moDMPf3BVAXcsz+D/3qoYW6lTiTAZGHK4SI8Oo3fYyZDDRYzZwNqCeIqSI05raPQHbWtlJ3c/uNtvIPhdK9L56tpcwgJsGwshhBDTBazzcovwTAUKVwBmk55vX5bPZbPj2d/Qi8vjYVaChZK0SCxjqzE7qrv4znOHyYsP5+1j7T71P6XN/ZQ2e0fmPPzZRRQkRvi8fnPPMH/eVB3wvd0elfquYaLDDXQOjhJrDmF7dTdLMiOJNYegqiqKorC5spPuoVFePdziH7DaB6cdKL2prJ07lmcwOzmC37xVwaeWpPH07gafYKLXKvzvJ+YyN8Ua9HU+apZlR/P0fct4r7yDA419xJgNrMyOYWl2FGEG+U9ECCHEqZPfHjPMqNeyODMqYFfwstb+iXqjwkTLxBZfILtre1iR7Xva8VBzP312Z5BneOcArsyN5vl9zSiKd4vw7WPtbK/2NtTUahQunhVL99AoXQFmJuqCNB8df15qZCh/2VRFVJiBX35iDj966Yjfqo/TrfL1pw+QG29mVsL0LTFmUlvfCLvruumzO0myhrIgzUZ4yMn/6z0rwfKBfl4hhBAfbxKwTlPHwAi7a3voGhol1mykJC2SyHDDtM95r7xzokbKc4Kt2eFR/7YMJzryaTHpuSA3lkON/cxJjOB/3yjzCXFuj8rG0jbWFcYzL9lCz/Ao/cNOLKF6bKEGipIisIXp6ZlUS6XVKNy6OJXn9zexcVKvKKtJz5Vzk3h0R51fZ3WnW2VHdfcHFljeq+jgK0/sp2vweGgsTrXy39fO8Sl+F0IIIT4oErCm6Lc72VvfM7bNZqA4NdJvJWRXbTdffnwfzb3HZ/mlRYby42sKWZkTE7Tu6FBT78TfG3XTx6XMaP/i7cyYMErSbOyuC9w6YHVuNFfNTeTKogR+93ZF0BWy9oERBkfDuPy379HS5yAhIoR7Vmayfn4i/3VVIf/+xP6Jrcu1BXE8t7eJgSmn/HrtTl440MTagjif4DWucyhwh/iZdqyln3sf3OPXYX5vfS/ffOYgX7skl1kJFmLMIUFeQQghhJh5510frOnsru3mxj9v4zP/2sXXnzrAbf/cxS1/287hSd28G7qH+dxDu33CFUBd9zD/8fRB/rKpiqogrRomz7Y73NTv0xRzsjiLkY6BEZp6fMfzZMWauaIoAWuAGX6zkywsy/IOgtZpNWypDNwZPiM6DEuInj+8U0VLnzcEtfSN8MOXjvDzV45xUX4s//zMQq4sisdi0mEL1fuFq3H9dhcmfeCMHmf+YOb4banqDDi+B+BAYx/P7Wvmit9tnuiwL4QQQnwQJGABTreHjaUtfP7RvRxrG/C5d7Cpjy8+vp/2sRl726u7fNoRTNbW76CsbZCvPnn88ZMtz46e+PuytgHMRh0X5MUwuWa+KDmCVTkx/OqNCn76ylGe2FnPM3saqR9rYnrZ7HjuWJbO+nmJzEmKYFFGJNcXJ/HpJWk+c/MiQwNvV85PtbKpPHDn8if3NPJeRQdV7YPEhHvH7+TFm7FMU8vkDjDbMdSgZVlWdIBHz7z6aYZcA7jcHtoHHHz+kb1srw4+jkgIIYSYSbJFCLx8sJlN5Z209Qfe1qrpHGJnbTdXFiX6dQKfyuX2cKCxjx013Vw1N9Hn3tKsKO5emcnf3veeBHy3vINYs5Fr5iWRHGmiodvOoaY+ntrTCMArh1ox6rQ8t6+JUIOWX984l0tnJ/C51Vnsb+ylpXcEjQby4s3kxR2vNVJVlURr4C2x8bmJwbx2uJUXDrRMfK1RvE0/N+xvDriSZZoyRsgSouP3txSTFRu8Q/tMigqffqVs/MSny6Py0sFmlgQ4fCCEEELMtPM+YHUNOvjFxjKKU4OPwwFo7PEGK6tp+kL28V/oR1v6/QJWqEHHv6/NYWG6jXfK2mnssZMYEYLTo/KXTdU4AoQf11jbhOFRN198bB9Pf87E3BQrizOCBwVVhbb+EVZkR7O5stPn3onaUk2tvfeo8OjOetbPS+K5fb7DnsMMWm5fms6KnGja+x1EhhlYlB45bVf8mbY4M/hA6agwA33Dx1cb3yvvxOFy+40d6h4c5UBTL/ZRF+lRYX69x4QQQohTdd4HrIr2QZp7R1iYPv0vVLPR+6NanBGJXqv4DSYG7zgc19h1fZCWB2EGHZcUxnPJ2Fy/H71Yyj+31AZ938k9t5xulc2VHSfsMaXRKMxJtvLKoRauK06if9hJ59AoKTYTGdHTryxN7XoOjJ0S9P1+TXotf7y1mMKkCAqTIvye80Fo7bNT2TrAp5ak8vB23zFDoQYtVxQl8PD2uolrsRYjOo3v9/duWTvfe/4wDWMBWqtRuG1pGvetziLWIoXxQgghTs95H7C0Y79vFRS0GgX31J4DeMPSwnTvCld+goVf3TCXrzx5wOexBq2Gmxam8vjYPMF5J9loc1lWVNCAFRNupHtKv6rK9uADpSe7eFYsD2ytpbS5n08uTOZY2wClzX0sSLOxJj+Gt4/512EtzYzi0NiMvqlizSH89JrZdAw6iDUbWZIZRWbM2dsG7Lc7aemzY9RpSYsKpbS5n80VnVR2DBJvCWFJRiR/21zNpvJOosIMfGJBMh6Pit3pJslqomNwhEd31Pu0kLhhQQpajULP8CgtvXZ6hkb51jMHaZ20Nez2qPxrSy1aReG7Vxacte9PCCHEx9t5H7ByY81kxYbz1tE2bl6YwiM76322yTQK/OITReTGH69xunpeEulRYbx0qIXmXjs6jQYVlcd31uNwebhhQTILM4JvXU22NDuau1ak84/NtT7XjToNlxcl8NA23+tJJzl8OC/ewj9uL+GfW2qxj3omtjiTrCZqu4a5rjiJd4610zPsxBaq5+q5iZQ29wcdVp0WFcYti1NP6r3PhMPl5tVDrfzx3UrK2wbRaRSumpuARlF4Zu/xLcrmviQ2lXeSER3G/FQrAyMuDFqFWQlmOgccmPQ6rp6XSF3XMHvqerh8djyrcqJ5ancDv3+ngrouO1qNwsrsaJZkGnh+v+/25/1ba7mhJJm8eOmjJYQQ4tTJLELg9dJWPvfwHswhetYWxDHq8jAw4iTRamJOUgSJ1hDmJluJmHIyz+F08+bRNh7b2cCBhl5So0L51OI0Lp0djy1s+lqtyYYcTjZXdPF2WTvNPXaizUYUBV4+2OJXl/X4PUtOqVDb41Epax3gzgd20tLn4Oq5ibxwoBmdRmF5djSWEB0DIy7cHpWarqGJIDZZhEnHhs+vID1Ab66Z9tiOOr793GG/67FmI/NTbWwsbSXCpGd+ipW67mFy48xsLG0lJzaczJgwv55csxMt3Lsqi+XZUbxwoIX/etF/GLf3ta1+z/37bSVcXBA3s9+gEEKIjw2ZRXgCawvi+OdnFvLojnqe3dvI9cVJdLncPL6rgUd2eLf8cuLC+Z/riiie1LvKqNdyRVEiawviGRhxEmrUBu0LNZ0wo551s+NZN9tbl7Wntpu7H9rtF65+eHUhC9NPbmVsnEajMCvRwk+vLeLzj+zFOVY07/Kofu0aPrEgmf31vVR2HF/Fio8I4bc3zftAwlVzr52fBxhkDdA+4CDUoEWjeLdsHW4PxanWiVWteSnWidOXkx1u7mdbdRdzUyP439eDv7ZJr0Oj4LOlGGrUBny8EEIIcSISsABFUbggL5bl2dHUdw3xhcf2cbTFtx9WRdsgn3t4D8/ct4yUKafkNAoMjLgYGHGRZNOg155Ze7EF6ZE8d99ytlV3Ud89jCVEz8IMG/NSbGiDDJo+kTX5sTzy2cW8fiR4w82n9zTy6GcXM+x00943gi3MQEm67QPrgl7eNjDtrMWy1gEyosOp6hjk4lmhE/VpmdFhlE/pXzbZk7sbWJhhmxhTFEh15yApkaHUjfXVmpVgZs6HVLwvhBDi3CcBaxK9VkN1x5BfuBrXPuBgW3WXT8DaXt3FA1trea20FVWFdYVxfGZZOkvPsNFmWnQYaTO8alScZiMiVMfjuxroHfYPMiuyo5ibEkGY0b9T/Mk40NDLtuou2vpHSLCEsDQ7+pRCiuYErRE0muMzHEfdnom+XHERIZS3Bg9YLo+KO8Cpz8l0kw44hBm0fP/KAswhp/dzEEIIISRgTdEQoAZpsvru453Dt1d3cfs/d/ps5W0sbePdsg7uv2PhGYessyErxszfbyvhm88comrSVuDagli+ddms0w5XG/Y38dUpJyv1WoXffXI+l81JOKnXmJVgJtZsoH1gNOD9nFjzRDH6hv3N3LIohW1VXTT2DJMeHUbXUODnGbQabGEGosIMQR9TnGrjaEs/n1yYwpr8WAoSZfVKCCHE6ZOANYV5mrEwwMTYGJfbw8Pb6wI2B3W4PDywtY6S9Mgz3i48G0rSI3n2vqXsa+il3+4kwWqiKCkCo/70ao6Otfbz9acO+LW4cLpV/v2J/eTGmU+qs3uMOYT/vKKALz++3+9eRnQoPcOjEyc84yxGVuXE8NSeRhq67SzNjGZPkCHYa2bF8vWnDnBFUaJPX6xxRUkR3LE8nSTbB9cgVQghxMebBKwpFqTZCNFrGHH6BydFYaLIvLlvhJcPtfg9Ztxrpa009dg/kOLw0xERavCZXXgmdtZ0B2y8Ct6wuau2+6RH51xZlEioXssD2+vYXNFJmEHLHcvTuaIoge4hJ1fOSSAiVE9xqo2ocCN//XQJ33zmIDtqulg/z3tCcvLB2OJUK0MOFz3DTl451MLNi1Iobxtkf0MvlhAddyxP5+q5SRKuhBBCzCgJWFNkxoTzvzfM5d8f349ryorMj64upCjZelKvoyhwvgxbCVTP5XN/msL1qbQahbWF8azKjaFj0IFRpyXGHHze4KrcGF764gr2N/Qy4nRzVVECjT12hkZd1HUOc7i5n7313nFB3UOjPLazgbSoUL5zeT7XzU8+pXYaQgghxMmSgBXAlUWJJFpNvF/eQWX7IKlRYazIjmZRRuTEKb4kq4mrihJ8BiNPdtnseJJsJ9cU9FyXeILmp4kRp34K0ajXknySq0pR4UYumuXbr2pzRQe/3Fge8PF1XcPcv7WWWxennfLnEkIIIU6GBKwgilNt0w6A1moUPrUkjdePtPltJxp1Gm5bmo7uI1h/dTYszYwiOtxA56B/AXmSNWTawdRnS6hh+n+1Y83Gj2R9nBBCiI8H+Q1zBhZlRPHgnYtYPzfRuyWowFVFCTx456JT6rZ+rkuymfjzpxaQMmXFLjM6jN/fUkzcaaxgnalZiWYWZwZvyjo+l1AIIYQ4G2RUzgxwe1Saer3tHRIjQs6blaupugYd7KnroXPAQYzFSEla5Ida47S7tpu7HthFn923wei6wjh+cs2caWu7hBBCiBOZblSOBCzxsVbW2s87xzrYXNmJNVTPRbNiWZUbQ1SYhCshhBBnRmYRzjCPR0Uj20vnhLx4C3nxFj53QdaH/VGEEEKcRyRgnaRRl4f3Kzp4+WALBxr7mJ1k4co5iazKjT6lBp1uj0ppcx9763txON3kxJlZkGYjwiRjWYQQQoiPCwlYJ8HjUXlwWy0/efnoxLWqjkE27G/mG5fmcc/KzJOqu3I43fxzSy2/2HjMpxnm8qwo/vu6OaRFfTSbkgohhBDi1Jyf1dinqLSln/9+5WjAe794rYxDTX0n9TrvlrXzP6/5hiuALVVd/PndKj5K9XBCCCGEOH2ygnUS9tT14Jkm++yp62H+ND2zAFRV5bn9zUHvP7mnkZsWptA+4KChZ5hwo46F6ZFkxpzciBkhhBBCfHRIwDoJI073tPftJ7g//hqHp1npcntUntnbxKGmPqyheqo6Bmnvd/CrG+Zy5dzEU/7MM6l7yMGO6u6Jlbo5SREszowkUk7iCSGEEAFJwJqGqqp4VMiJ9a2NijEbWZzhbWLZ1j9CZnQYBxp6aeyxYw7RMS/FimVK0bpRpyU/3kJjjz3ge2kUiLMYea9ilMr2QfLizSzLiuYnLx8h0WqiOG36FbKzpanHzneeO8Sm8g6f66tzY/jZdXNOOCZHCCGEOB9JwAqgrW+Et46189y+RrqHnFw8K5Z7V2Xwzy21XD03kfYBB68casGjQorNRHXHED979dhEeMqODeen1872GRGj0ShcOz+JN4+2BXzPC/NieWBbHR0DDjQKRIYZcDg9XFIYz5bKThKtJuI/gI7orX0j7K7tpntolPiIEDoGRvzCFcCm8g6e2dPIFy/KOeufSQghhDjXSKPRKdr6RviPpw/wXkWnz3WTXsu3Ls3jd29X0jXkP3Pv5kUpPLW7EddYsZYlRMdT9y0lL84y8Rj7qIs/b6rit29V+jx3dqKFJFsoG0tb0WoUbl2cyob9zfTZnROPibMY+cMtxZSkBx//cjKae+0cburDrarkxZvJjD5e47WtqpMvPrbPZ6Zgss3E0qwontrd6PdaFpOOt766mhjzBz8KRwghhPiwSaPRU/DWsTa/cAXeOqvHdzWQaDUFDFivHGplVW4Mbx9rB6B/xMX75Z0+Actk0PH5C3NYmRPD3roeRlwecmLD6B12srWqi7w4M1mxYTy7t4lBh+94l7Z+B59/dC8bPr+c+IhT35ZzuT08t6+JH790hP4R72uH6DV85eJcPrU0jbb+Ee55cA8DU963scfOtqouLsiN4d0pK1n9dhcDIy5izKf8cYQQQoiPNQlYY/rtTnrtDp7e479SM+5o6wBXz00M2Jahz+4kzODbcLS0ud/vcQadhpL0SErSI9ld2839W2t5+VALqgqFiRZSbKF+4WpcW7+DHTXdrJ+XdMLvp6lnmM2VXZQ29xGi15JiM/HozvqJcAUw4vTws1ePEWHS41ZVv3A1rrHHzvp5iTT0DFPVMTRxPTXSROSHOGtQCCGE+Kg67wPW0KiLVw628Jf3qgnRaxgcCRwyxnmm2VJVFN/xOdOFj/0NPdz+z50MjR4/gVja3E9m9PTNRtv6R6a9D3C0pZ/PP7KX6s4hn+vLs6OYl2Jlf0Ovz/XfvVXBmvzYaV+zvmuYBWmR1HUNT2yDfm51FtZQCVhCCCHEVOd1wFJVlX9uruFXr5cDEGrQsjInhtqu4YCPDzNocboDB6w4i5GuIcfE11FhBlbnxdA95AjYzuDZPU0+4WqcVjN979cTrRi53B7++E6lX7gC2FLZxfXFSX4Bq7lvBO2U2YrLs6OINYfgcnvQaBSyY8N5fGc9K3NieLe8nXtXZXJV0YfbPkIIIYT4qDqvA1Z52yC/e6ti4uvhUTfhRi1GnQaHy+P3+OuKk9lR0+V3XVHg5kWpbKnoxKjTsH5eEgMjTu55cDcGnYZbFqVyzbwk8hO89Vhdgw6e29cU8DN5VBWDVsOo2//9w406FmVMX+Re3jbAS4dagt4/1jrAZ1dk0D08yv76Xqo7h9BpFKLDjWg1Cm6PynXFSeys6WZL5fHvVadR+OTCFGYnRvCVtTkUJkb4hTIhhBBCeJ3Xo3JKm/v8VqRePNDCjSUpPlt1oQYt1xUnsbuum/SoMK4qSiDCpEerUViZE81nl2fwry21tPSP8B/r8tiwv4lXD7cy4vTQb3fx503V3HH/LspavTVZiqKgBPnJbyxt5ebFqRimzDY06bX84Zb5pEZOv4U4MOLyG8UzWXu/g9Lmfp7d20R6dBj58WZW5sTwxK56bl6UytzkCI409/v163J5VB7dWY81TE9RslXClRBCCDGN83oFK5BRt4eHttcxP8XK1y/JJdlm4s2j7bxyqIURp4ejLQMYdRounR1PXlw4j+1q4P2xU4exZiMb9jcHXP1q6RvhhQPN/Ee8hcgwAzeVpPC392v8HudweahqH+CZ+5ayp66XziEH8RYjSzKjyY4NZ3jUxZ7aHvbW9zDqVpkVb2ZxZuREq4T4iBBMem3Q7vLZceFUdwwC8Paxdm5ZlMKgw01j7wjP72virhXpfm0kxnlUONzUz6WzE07rZyuEEEKcL87rgFWQaEGnUSaKtifb19DLbcvSyI4Jp8/u4r3yDkac3uA0JymCrJhwjrYMUJxqY2F6JO9XdDIrwUJ52wDXFSfhdHlQFAWNovBueTu9w04e29nA3SszsYYauGZ+Es/s9TYynUynUfjsykzmJFuZk2z1uddvd/K/r5fx4LY6n+tzkyP49Y3zyIoNJy0qjLtXZvC7twOHpNTIULZVHd/6q+4coqHbu1o16HD5nBIMpCZAbZcQQgghfJ3XASsvzsyXLsrh12+U+91bmG7D5Va5+g9b0CgKF+TFEG7Ukx0bxuulrX7PuXpuIrPiwmnqtfPs3uP1VVqNwjXzEtlW1cXAiAv3WJgrTIzggTsW8dSeRh7f2YDT4+Gy2fHcsiiNFTnRAT/vxiOtfuEK4EBjH399v5qfXzcHRVH49NJ0OodGeXRH/cRjQvQarpufzBtHfDvJt/SNEBlmoKnXG7J0JyiyTz/BKUchhBBCnOcBS1EU7lqRTpzFyF83VVPVOUS4Uccdy9OZn2Llzge8XeU9qsqbR9uJNRvpGR7lYJN/f6sXDjSTemEWe+p6fK6PD3G+sSQFg1YhKvz4icLxVap/uyALt6oSZw5Bpw0ccEZdbp7Y2RD0e3l6TyN3rkgnL85CjNnID68u5MYFKexr6GF/fS9Oj7fR6NStw+IUGyMu90Rvr7quIfLjzRxrHQjw84JVY+HP41E52tpPx4ADW6ieWQkRGHTndUmfEEJ8oA419rKpvIP9Db0kWE2szo1heVYUJsOH86u9Y2CEPXW99I84SbSamJ8SQZhRf+Infkyd1wELIMyo56aFqVxaGE/X0ChhRh1xlhC+v+Gw32OXZEbx4sHmoK+1p76XOIuRtn6H37367iG+fVn+xNf9difbqjvZXt3N4IiLeSlWVuREkxYVeIXI7nRPuz3n9qj0DR/fbtRrNcxLtTI3JYIfdZXyr63+K1+KAtcWJ7E4I5LPruynd9g7f9Dl9vDFx/ZT3328XYVGgZ9dN4eF6ZHUdQ3x+3cqeWZPI+O7q5cUxPHVtbkTJyWFEEKcPe+WtXPvQ3t8an4f2lbHfRdk8aU12R94yNpc0cFXnzxA+8Dx339LMyP50frZ5MSdn+M+zvuANS4i1EDEpKaZx1r8V3ASraZpT+g19diJs4QEDFg1nUNkxZrpHnTg9Kj878ZjPLXn+FbiU3saSYgIGSusD2VeihWj/nhn+DCDjrkp1olRPFMZdRpiwv37bSmKwt2rsugacvLCgePhMESv4cfrZ7MiOxqNRmFBms3neU/eu5Qd1V3U9wxjDtGxKD2SWQkWBh0uvvv84YnC/nGvH2mjpnOIhz+7iDjLqY/yEUIIcXI6Bkb4xtMHAx6o+tO7VSxKj+TCEzSPnknHWvq556E9DE/p7bitupvvbTjMP24vOS9XsiRgBVGQaGZnbffE1/GWEDSKdyUnQE084B2MXNk+6HfdpNdy76pMvvfcId6v7CREr+XCvBjuXpHB3zYfP0nY0jfC47saaOt3UJho4T+vmEWyLRQAnVbDJxYkBw1Yn1mWTkZMOA3dw9R0DmHQaShIsGAx6Um0mvjlJ4r41JI0KtsHMek1zEu1kTFNPVV8RAjr5/uP5Nlb3+sXrsZVtA+yvao74POEEEKcPKfbw8CIE5Ne67cata++12elaKotlZ1nNWDVdw3RZ3cSFW4g0RrK5spOv3A1bnt1N/vqe1mRE3PWPs9HlQSsIC6aFcf9k7bVFmVE8tSeRlbl+A89HrcgzcbWKv9GpF++OIf/ea3Mdyl3ez3pUaHcvTLDp13Drtoe1s9LZMP+ZiJMev772jloxnpOXZQfy7cvy+cXG8smiuUBrpgTzycXpfC396v57ZsVE7MM8+LC+c4VBazOjcGo17IoI/KEjUpPJFCAnKyiY/r7QgghgnO5Pbxd1s6TuxrYWdNNnCWETy1J47I58cSOteM50Ui3jmnC16lwuj3oJ9UF13cP88j2Ou7fWovD5cFs1HHPqkxQvAe9tBoFl9uDVqNBReW1w604XJ6JQ1TnGwlYQSzNjOJH6wv5rxdK8ajeQveOAQf6FO/K0JGW44XuGg185aIcEq2h3LIoBbvTw/6GXmo6h1ibH8vLBwL3xqrtGmbE6UGvVXwano6Hpyd3N/DppWkUJkYAYNRruXtlJitzotlX38uo20NevJn5KVYe21nPT18+6vP6ZW2D3PPgbh69ezEL0vyDVcfACG39I4QadWRGh5/Uz8Wkn76QPVSvnfa+EEKI4J7c3cB3njteA9w/MsgPXihla1UnP7+uCFuYgZSo0GlfozDx9GthR5xu3qvo4KUDzRxq6mdOUgRXzU1kbnIE337mIFsmLSIMOFz86o1yLp0dR3X7EOWT/gBu0Gq4eXEqj++sxxJy/m0PwgwFLEVR/glcCbSrqjp77Fok8ASQDtQCN6qq2hPsNT5qdFoNn1qcxoJUG7vqetBrFF451MIbR9qYn2Kd6HWl12nIjgnn/q21Pku2q3OjuXN5OhEher70xP6g7/NOWTvr5yby9FhrB6NOMzFQ2qNCS+/IRMAC0GgUChIjKJh0ranXzm/erCAQh8vDywdbfALWgN3JhgNN/ObNCjoHR9FrFW4qSeH2ZeknLEYsTrMF7R0G+NVyCSGEODm1nUP8+KWjAe9tLG3j6rmdXFGUSFFSBJfPieeVQ61+jwszaFmZe3rbcS63h/u31PLz145NXKvpHOKFA8184cLsgKfLAV473MZ1xUk+AWvU7eHxnfVcMz/xvP29MFPn6u8HLp1y7VvAW6qq5gBvjX19TtFoFAqTIvjMsnRuXpTK9QuSAW8T0mf3NvHiwRY8Hvjd2xV+++GbyjvZWtXF4Oj0S7n2UTehxuM595KCODaVHd+CtJhOnIHrOofon2bJ+PUjbWyv6uSlA008tbueLz+xj/fKO1mVG0NObDhOt8rDO+r5wqP7aO4NPOh6XF6cme9fVRDw3hfXZDMv1XrCzyuEEMLfwabeoFM4AHbWeOuCjXot37p0FlfP9Z2qkRZl4m+3lzDrNE9zH27u5382Hgt47w/vVrJymjoqZ4BdGofLQ1pkGLGWkNP6POe6GVnBUlX1PUVR0qdcXg9cMPb3DwDvAt+ciff7MGg0Cv92QRYN3cNsr/b+S65RQEWd6PA+1auHW7m0MJ5YszFoQeLy7Gh21nSjKHBhXiwtfSMMjRULLkyzMTspIuDzJjOeYFsuzKDjBy8coaxtgDiLkXWF8WzY30yf3cmFebFoFIWytgHK2gbYXNHJjQtTg76WoijcsiiVFFsoLx9qZm9dL3nxZq6am8iFeTEYdbJFKIQQp8PlnuaYOt5Zs+NSo0L53xvm8ZllGTT2DGMO0TMvxYotzDDNKwTncLl5vbQ16El5daxUJhhFCTyf1h3sVNh54GzWYMWpqtoCoKpqi6IoAY80KIpyD3APQGpq8F/sHwUZ0eH85dMl7K7tprJ9EItJz6aywKf6xjX3DnPTwhT+L8DoGqNOw6IMG8lWE7MSLGyv7qKlbwSAOIuR/7yygNCT6GUyK8FMcYqVvQ29Ae8XJlkmusu39Tt4aHsdN5Wk8PiuBt4pa+e64iTK2rxLv7tqe6YNWODdPr0wP5YL82NxuT1Bm6MKIYQ4zuF0s626i/crOmnutVOQaGF1bgxFY2PRcuPM055Ujwo3+Pw/16DTUJxmo3gGtuBeL22joXv6HQw1QMAK0WtYPbYbckFeDJsrOn1KSOIizs/VK/gIFLmrqvpX4K8AJSUlH/moG2HSc9GsOC6aFUdl2wAHG3unfXxWbDiP76rnC2uyeXJXw8RKVmGihfVzE4kI0XHdRdnsrOkmyRrCwIiL3Hgzy7OiSY8Oo2NghLquYUL0WnJiwwOuVoUadHzj0nzufGCX31HZwkQLrWOhbZyqevfVk20mGnvsdAw4iAwz0D00yojTzb+21LA8K5rc+BM3h5NwJYQQwTldHkbdHrQahb9squL/TaqXffVwK79/u5I/3VrMmllxZEWHccWcBF482OL3Osk2ExXtg5S3D1Iwww2dh0dd/HNzNRkx0x92SrD6hqXVuTGEG3W8U9bOxtI2rKF6rp6XSE3HEPsaerGG6lmSeWYn189lZzNgtSmKkjC2epUATL/Ucw6xj7q4f2st/++NCq6elxj0cUlWEwvSIukfcfHDF0u5dXEaeo0GnVahqmOQtn4HtyxOJdSg44K8WC7IO77INzTq4uHttfz2zQo6BkcBb+H8F9fkUJLu/y/skqwoHr9nCa8ebmXj4VYsJh2ZMeG09I0EbB2xt76HNflxNPbY6RkexRKio3toFINOww9fPIItVM/fbisJ+F5CCCGm194/whtH2nh8ZwOdQw6WZUehVTSEGrQ+fxB2uDx8/ekD/OszC2nssZMaFcqti1N58UAz/SMuNAqsyI7GGmrghQPN/NsFWTP+WbsGR9nX0IdWoyEnNpyKAO14ZiWY6R4c5btXzOKR7XVEhRvoszvZNKltUe+wk2f3NnFhXixzkyx854oCUiPP3/m1ZzNgvQDcDvx87K8bzuJ7faBeOdTK/7xWBniLDq+Yk8DLh3z/xGHSa/mf6+cQFW7kEwtSiA43srmik8r2fqLCDazKieHS2fGEBzm++uSuBn744hGfa5vKO9lX38tj9yzxOVk4rijZSlGyla+uzaWxe5iLfr0p6FKzOUTP8FgBfmpkKG8dbWdeinViHE/PsJOfv3qMB+9adFLblEIIIbw6Bhx885mDvFPWgVajkB4Vyq6aHpp67dy6OJWHttf51Dp1Dzn515Zant/vnbaRER3KF9ZkU9rUj8mgQVUVhkddrJ+bSGLEzE/KCNFrMBt17K7rYV1hPHGWELZUdaKq3pFqK7KjmZdi5a/vVXPfhdm8V95BYaKFP22qDvh675S189Cdi1icGTXjn/VcMlNtGh7DW9AerShKI/ADvMHqSUVR7gLqgRtm4r0+bAMjTv78XtXE1+Pz+q6dn8SI043d6WZReiQX5MX4tFKYukI1naYeO79+vTzgvf4RF2+UtgUMWOP0Wg0GnYZLCuN47XBbwMcsz4ri7WPtFCZYyIkNx6DV0j7gu9q1u66H0uY+Fqaf3/+RCCHEqdhU3s47ZR1cMScBnVbx1uyGaChJt9HeP8LyrGg2V/pOxJhcDF7TOcyvXi/n8xdms7/BO9DZ7VEx6jQk2kzctjSNhBkMWq29I1yYH8sLB5rZWNpKQkQIV89NxONR0WgUjDoN/9pSyy2LUkmLDEWjUWjsmb55aE3n0Gm3i/i4mKlThDcHuXXRTLz+R0nnoIOKNt/l0/ruYeq7hzFoNZgMWr5/ZQGZJ9jLnk5VxyADjuBtF1461MIXL8pBqwl8aqOstZ/7Ht7L/FQrUWEGuoZGfe5nx4SRER3G2oI4Spv7eaesg6wgn3fIEfzIsBBCCH8bD7dxw4Jk3jrWTvek///ua+glJzacG0uS/QJWgjWE4lQrVR3eMTTzUqy8eqiFo5N6TzlcHv70bhWN3cP84hNFMzLQWVVVHtpRx6DDRW5cOOVtg7T0jbBhbDUtMzqUomQrVxYlkBARwreePcT8FCu1XdMXxPfanbx8sJn8BEvQ3y8fd7L3c4pCDTrCDNqJVgqTjbo96N0KYcZT+7F2DjrYVdNNXfcw4UYdCRFGwo26iZE34ywhOpZnR5NkNTHidPkMzzza0s/bx9p5v6KDEJ2W+alWKtsHWZwZiV6roax1AJ1W4eJZcaRFhfKD50vpn/T6Bxv7yI83syonmvfGZg0atBqSrDK4WQghJlNVlX0NvWyr7KR9wEF+QjhFSTYKx9rqKIpKU6/dJ1yNq2gfpLVvBKNOg8PloTjVxuwkC9uquugecrIgzUZ0uBGtBh7b2RDw/V882MKtS9JYMgNbcA09dp7Z24Tbo7I0K4rrkiJo73fgUVUSIkLoGnSwtiCOH75QyuNj9cB58eFcVRS8/lhRvCtYv36jHKNOw5cuyuEzy9LOu4HPErBOUZwlhDtXZARsuwDwmeXpxJ1CU7UjzX185Yn9lE1aFdNpFG5flsbTe5roszsBuKooAbvTzVtH2xl1e9hR081nlqVx9bwk9tX38tkHdvk1G12UEUlL7wiHmvrIiA7D4fLQ3DPC3roen3A17ljrAPnxloljwnesOHFndyGEON9s2N/Mt589yBVFiQyMuNhc2UWEqZlLCmO5sSSFpVnR/OilI0Gf/9KhFm4sSeZAYx8heg0Pbjs+97ap145Wo/ClsV2KYH2kjrX0z0jAcns8E++xbaxExBaqR6MoEyUjBQkRtA8eD4uZ0eG8XtrGkszIib6Qk92wIJl3xhpmO1wefrmxDFuogVsWf7RbMc00OWN/Gj6xIJkFATqWF6daubEk5aRfxz7q4ocvHfEJVwAuj8o/t9RySUEcAOsK49hV28ObY+EK4FBTH1976iCPbK/lRy+WBuzkvrOmm4yYMFwelYr2QWo6h9DrlIkVqkD2NfQwN9nKbUvTuGt5xkl/L0IIcT442tLPfzx9gBsXpvLCfm/NUlXHIHvre/j5q2V8+9lD2Ez6oA07wdsw9KKCOK6fnxTwlLfbo/Lg1lpWZkcHfQ39DLXIiQ4z8PkLsriqKIE4ixHwHnIaLy1ZnhXFa6W+I3n0Wg0Hm/pwulWuK04iYazXVVZMGDeWpKCqKk63bwPuP7xTSfeg/4rex5msYJ2GtKgw/njrArZUdbKzthvVo7IoI4rl2VHEn0Lh4f6GXnYESP/g7VUVbtRx66IURlweWvtHAj7uSPMAh5v7A94D72yrlEgTDd3egsTo8Om7/A6MuPj9zfMpTIxAE6TGSwghzle7arspSY9k4+HWiT/wTraxtI2bSlKIMxtpCzLBY2G6jSVpNjbsaw76Pl1Do1hMgbfUIkJ0WEP1PLitloERF2lRoSxKjzylkTSqqvJuWQd/f7+aLVVdKAoszYxidW4sz+xtxO1R0Shwzfwk/uPpgwFfY09dD3vre1icEcmCNBv13cM8ubuBFdnRTP3t0dRrp3VghMgT/A76OJGAdZriIkK4rjiZ64qTT/s1OoL8xzeurnuYv9+2gCv+b3PQx0w3twqgz+7EbNQD3oC1IM1GVLiBriB/krh4ViyzkyKCjj0QQojzWZ/dSUy4cWI7LZBn9zfxqaVp/CrAaXCN4i3f+Mv7tRMlIMFEBQgjESY9n16Sypce3++zfZgVE8ZvPzn/pMarAbx1rJ17Htw90cpHVWFrVRehhl6umZfIkZZ+vro2l7QoE3qtgnPSGJ/xE40OlwdVxW+bMNZiZHOl7/em1yqEnmCs28eNbBF+iKLCjdPez471nryYbqnZrXr/RZ/uNeq6hjDqNPzsujksz47hyxflBHysTqNw7fxkCVdCCBFEss0UcGTMZB39Dm5ZlMIXLswifNKhp1izka+tzeWxnfX89q3yaU/X6TQKGrz1TIWJFmyhekrSbNyzMpM/vFvlV5tV1THEDzYcZsgxfWgDb+f2P75dGbBP4vCoG51Ww5P3LmVtQTy5cRHctjTd5zHvlrVzZVGC/5OBjOiwgIsHlxTEo+EjP6xlRskK1odoXkoEC1Kt7KnvDXh/dV4MGo2GZVlRHJt0VHey0qZ+rpmfxBO7/E+b6LUKF+TGcvGsOOan2iYC2/XFSbjcKv/vjfKJdhAZ0aF894oClmZJzyshhAhmcUYUO2u6/VZ1JluVG01UeAhfX5dPamQo1Z1D6DQaHE43/++tiomhzm39dqLC9HQN+YeiSwrjeHZfEz3DTnJiwylItFCQYOFIS3/QP3Tvqe9lf0Mfy6ep3QLvCb9gs2sBXjzQzNcvycM8tuN498oMBkacPLm7EYChUTdlrf185/J8ntjZQFWn9w/x1xcno9MqPkX74A2lOo3C47sb+fyFWefNaUIJWB+iMKOeH15dyBce30dt5/GeIhoFfrx+NksyvGFnRU40rx1upbnPvw5rVW4MffZRrpufxIsHmyf+g0+2mvjR+kLWzIoL+L53rsjgksI4qtoH0Ws1FCRasIaeP3vjQghxOhKtJm5emMLwqHuiV9Rk4UYdF441lXa43Pz+naqJhtRTvXiwhR9cWcCGA83sG/uDtkmvZV1hPDWdg/QMe4NXRfsgFe2DpEWG0jU0fWnJiUpPAL/6qKk0isLkjYz4CBM/vXYONy9KpbpjiBC9hvmpNhKtJm4qSaF9wEGoQcfG0hY2lrZx3+pMjrQM4HR7iI8IoXtolA0HmjHqNOTEhTPqUum3j5JoNbHwFGvHziUSsD5ks5OtPHHPUnZUd1Hb5e2DtTAjksIEy0SR+YV5sXzr0nxePtzCu2UdOFweChMtXFoYT13XMKXN/eg0Cv+2OgtrqIGMmDCKkqwnLCZMtoWSbAv9IL5NIYT42ChKsfG1tQaiw408vL0Oh8tb7D43OYLvXDFrYoqHXqMh3hISNGCpqrf5aL/dxfp53s7pefFmHttZT1Ov/x+oR5weosKmLy2JMU9/HyAjJozFGZHsqAl8yOrGkmSip5Sw6LXeUDU/1eZzPSLUQMTYH84jTPqJDu9lbQNoJ7V6CNFruGlhKt9+9hAjzuOHA9KiTPzfzcUUJVtP+LnPNcqJ9pI/SCUlJeru3bs/7I/xkVXfPcTRln5cbpWKtkFeOdxC+ZQWD0adhn/cXsKKnPN7RIEQQnwQqtoHaegZJlSvpTDJ4rf99eSuBr7xTOBTeLOTLIy6PD7/H1cUuGZeEs/ta/J5bGSYgaLkCLKiw/jn1tqA24TFKVYe/Owiwk9iC25TeTt33b8b15RCrAiTjofuWnxagae+e4hfvHqMt451+B3AumZeEi8fag64rZoVE8ZT9y4l8gR1yR9FiqLsUVW1JNA9KXI/h6RGhrGuMIErihIJD9H5hSvwNnX7xcYyBk+i0FEIIcSZyYoN54K8WBZlRgWsLbpoVmzAgvAIk545SRF+/x9XVfwK2HUahe9dMYtvrMvnyxfl8LNr5/iNSkuPDuVH18w+qXAFsDo3lvvvWMRls+NRFO973LIolQfvPL1wBd7fUbcuTSMiSHuJYDVrVR1DvHig5bTeE8DhdHOwsZddNd20BSil+bDIFuE5yOny8MyexqD3Dzb2caxlgJL0yA/wUwkhxPmjvX+EbVVdlLUNYNBpmJdiZWFGJGFT5gNGhRv50fpCLimI452yDnqGR8mJNdPSZ+fxAIeTABIiQrgwL4bGHjsrc6K5dHYCizKO///8poUpFCVHsKu2h0GHk1RbKIszo065lmlFTjRLMiNp6RtBp1GIjwg541PkSzOjuXlxCv/vjYqJazqNwohr+pZC+xt7WNcXd0q9JAF213Tzm7fK2Vzp3YqMDNPz7xfncn1x0odeTC8B6xzkVj3TDoMGAjbAE0IIceYq2wf4yhMHONTU53P9lkWpfPOyfL8VnMgwI1fPS+LqeUkAvHa4hc89XB309YdH3XztklwKEgI3fFYUhYLEiIlarzOh02pIiZzZWtzr5ifzXnkHe+p6Ae90kjDD9D2wVFXhcFP/KQWs0uY+7pwyJq57yMn3N5TicqvcueLDnUYiW4TnoBC9jksL44Pet4bqyYgO+wA/kRBCnB88HpW/vlftF64AHt1Zz+tTxsoEsigjkvkp1oD3ZiWYKW3u464HdtPcZz/Tj/uhSIkM5f9uLubn183hgtxoFmdEsjgzkmDDQRIiQugYHMHtObWFgddLWwOOiQP4f2+U09gT+HDBB0UC1jnqiqIEQvSB//F95eJcEk5xmVUIIcSJVbQP8MzepqD3H9tZj+MEEzYiw4z88oaiifon8LbnuSA3hmRbKHvre2nrdwQcpHyuSLSa+OSiVO6/czFP3LuUGxak8I11eX61Y7ZQPbctSSMm3EiYURd0uPVUbo/KK4eDh9kBh4uqdv865Q+SbBGeo+an2vjn7Qv51evl7KnvAcAWpucrF+dy/YLTH98jhBAiuD67c9oQUNs1jN3pxniCsTDZsWaWZUVi0GnweFQ0GoVtVV20T+pj1RikvcO5SFEULimMo7F3mIERNyE6LXqtQsegg1+8XoaqwoYDzXzz0nzuWJ6OUTf9z0+j4NMlPxDDNFNOPggSsM5hy7KjmZdq5VjrAA6nm4zosFMuEBRCCHHyYs0hhOg1Pr2cJpuXYj3hL/5xBp02YLPSccGGPZ+u7sFRdtV1097vIDrcQEm6jRjzB9fkMzPGzC2L0nhiVz113XbeLevwua+q8PNXj5EZHcYl05TBgDewXTc/eaJB61RZ0WHMSrDM1Ec/LRKwznGhBh3FUxq/CSGEODvSo8O4Y3kGf3q3KuD99XMT0WlPbuWkJC1yYmjyVBoFFmac+Ulwt0fF7fFwpLmff39iP7Vdx1fFEq0h/Pam+TPyPuA9WbmzppvariFCjVoWpkVSmOhbqF+QGMGNC1O56v82kxgRwpKsKFxuFVVV0es0lLcNsGF/8wkDFsCa/Fie32+dKKYfp9MofOeKWR/6dBIJWEIIIcQpWJRu40BW1ESXcvD+Ur9mfhINp1BYnRUbzv/eUMS/P3HAZ9tRUeC/r53D7MTTX4Fp6B7izaPtPLW7kVkJZrZWddLS5ztGp7l3hM89vJsNn19B8hmeJDzS3MeXH99PxaS6J40C/3V1IbcsSvUJnd2Do2TFhJMZE86zU+rZ5qVY0WkUHC73CbcJk2wmfvvJ+Ww83MqjO+vpsztZWxDH1fMSWZo5/TzGD4IELCGEEOIkqarKCwdaaOkb4briJJwuz0TvqDeOtDHidHPZnHiyYswn9XpXzU0i2RbK5opOaruGSLaFsjw7ipK0yNPuSVXXNcQXH93HwbGTjnnxZr9wNa5ryMm26i5uOIOAZXe6+MnLR33CFYBHhe9vKCUjOoyVk6aLRIYbmJdi5akA/RyPtvRz8axYtld1YdRpKUi0TLtVmmwL5a6Vmdy6JJVRl4o5RHfGvbxmigQsIYQQ4iTZnW521nTT1GunpnMo4GNa+xwnHbCAgDP+zsRrh1snwhWA6wR9EZt7z6wdxMGGPp/VvKnePtrmE7AyosMobxvwe1xenJnZSRb++G4Vw6Pek5i5ceH85xUFrM6dfvxbiF5HyIfbV9SPtGkQQgghxrT22TnY2EttkPBk1GmZlxJBblw4oUGaZ1o+xN/0Qw4XD2+vm/g6xmwkP8HMVUUJJNsCH4I601qlzsHAq2PjjrX6hqnhUTdVHb4/X6NOQ1FyBM/sbZoIVwDlbYPc8+Budteeey0rZAVLCCHEea9r0MGTuxv506ZK+u0uDFoNtyxO5TPL0kiPDgegZ3iUd8vaGRhxoaqwMicGS4iOFw82T5wqvKQgjrz4k1+9mmmjbg+DDhc6jcK1xUm09o3wq9fL8aiwOCOSlTnRPLevaeLz6jQKizPPrMh9upOIcRYjawviONbST7ItlPAQHWajjry4cPZMOgG4OjeG14L0tXK4PLxyqCXg+LeWPjvV7UPotAqzEqbfTvygScASQghxXht1efj1G+U8sqP++DW3h/u31nKwsZc/f3oBRp2Wn7x0xKfJaEX7IHqtwpfW5FDRPoBeq+GuFRkfav8lq0nP2oI4VBVePtjisxq0o6abvfU93LAghUd31qPVKPz6xrnkx59ZO4OipAhWZEezubJz4ppGgeuLk2nus/Pjl4+iqjA70cJ9F2SzrjCOW5ek+QQsg04z7Qi414+08Y1L8wjRe2OLfdTFM3sb+eXGcvrsTgBy4sL59qX5rJkVd0bfz0yRLUIhhBDntcNNvT7harK99b1sr+7m/YqOgB3cnW6VB7fX0Tvs5M2j7bxX0XnCLbMzNepy4wzQ2gG8/aE+UZxMx6DDJ1xN/rxVHYP8ZH0hz/3bson5iGcixKDlu1fMYtaklbsrixLZeKSVLZVdqGMHJA839/P5R/fy8qEWLimM497VmROP15ygMD0y1IBWczyybNjfzHefL50IVwAVbYPc+/Aetk1TD/ZBkhUsIYQQ57WjLf4F15Mdae6fNjR1DDhYmhlFn93Jz189Rk3HED9aX3jCbu6nqqy1n42lrTy3rxmNBm4oTuHigjiyY8N9HpcSFcqWSatJU+2o6eYn18wmJ84biLqHHOyq7aGyfQC9VsuCNBtzkiJOaSUuP8HCQ59dzK6abhp7hqnrGqbfHnhF6n83lrEqJ4avrs3l4vw49jf2YtJpqOsa4kCj/4xHgBtKUtCPtXroGBjh12+UB3yc063y3L5GlmSe/inMmSIBSwghxHlNq53+F7FOA12Do9M+RlWP97F6YncDn1iQfMoNPEecbqo7h0BVSY8OI9Rw/Ff0ocZe7nxgNx2TRun8/LVjPLaznr/etoC8Kdt86glG+o3frukY5BvPHGRXbY/P/S+tyea+C7IwGU4+JkSHG7lsTgLDDhcX/XpT0Mc19NipaB9gUUYUCzMiJ35O2bFm7nxgl9/K2/KsKC4uiJ34ur572Gek0FSvH2nj25c7sUmjUSGEEOLDU5QUgVajBJ0xOC/FhjlEzztl7QHvaxR8upUDlDb3nVLA2lTewR/fqWRHjfe03II0G/92QRZr8mNRVXhwW51PuBpX1z3Ms3ub+PblxwNWvCWE64qTeHK3f58pgJU50aRFhuLxqPz5vWq/cAXwu7cryYs3c0VR4kl/DxMU/IY6TxVoS3BJVhSP37OEjaWtvHa4DVuonuuKk1iTH+szBu5EDUjDjToMJ9lN/2ySgCWEEOK8NivBwlcvzuWXr5f53buqKIFFGZEk20z84d1Kn20vRfGOa8mICqNz0ME185IYGnXx1tG2EwaMyTZXdHLX/btwTQp4e+p6uPvB3fzj9hIyosN5dp+3/mtxRiQJESbcHg9ajYbqzkEe3FbHXSsyiLWEjH0uhZsWpvDSlCJ38J4avGdVJnXdw1S1D/J0gGaf457e28ilsxNO6XvpGBihodvO51Zl8uf3qmns8e+xlRcXHvSkZVGylaJkK19dm4dGwW+bb3jUxcGGHopTrewNMIdwVU4081JtfPOZg+g0Csuzo1mZE/2hzOmVgCWEEOK8pigKd65IJznSxMPb6zjQ0EdKpInblqZzRVECFpMei0nPP25byI9fPsLBxj4UBT69JI2XDrbw1tHjK1vWUD23Lk6jKNlKc68du9NNrNmIOUhvLKfbw0Pb63zC1TiPCv/YUsv3rsjHo6rcsiiV9ys7Jla5APLjzawrjGd0SjPRBWmRPHDHIh7eXseLB5vxqLC2IJabF6ayq7abP71bxbrC+KCrdgBHmwcYcboJO4nh1UOjLp7f18Rv36yY2L5bkhnJsqxontrTMLFlqdUofH1dXsCfh6qqHGsdGKsF01CUbCXR6huMXjrYwneeL+WTC1MobxtkcNLJw0tnx3OstZ/3Ko7Xnz2/v5mSNBu/vnEeqVFnNg7oVEnAEkIIcd4zGXSsn5fEusJ4+uxOwow6wqcEi4UZkTx692JKm/rpH3HyH08fpHfY6fOY3mEnG/Y3kR8fzo9fPsqI00NeXDj3rs7iijkJE4Xvbo9K9+AovfZRNpYG7v8E3tUtj0eZCHPdQ761YMdaB3C6PejH6shcbg+lzf1Udwxi1Gv5xqV5fO2SPDyqSqLVxG/eLOePY4OqFZh2a3R2kgXTSRbqP7GzgR+9dMTn2vbqbspaB1g/N5EXDjSztiCeWxalsDov1u/53UMO/vJeNX9/v2bi81hMOn68fjZXFSWi0Sj0Do/yx3cqAXhqTyNXFSXidHsoa+sn3KgjRKehttN/FuTuuh6e39/Ily7KPanvZaZIwBJCCCHGhOi1hEwTKsKNehZnRvHs3ka/cDWuf8TFrtreiWaeZW2DfPXJA/TbnXxmeQbvV3Tw1O4G3jjSzpVF8eg0SsAVLPBuQ4YYNMRbQvzC1biqjiH21PZQkq7wmzcreGxX/cSKkcWk47+vncMVcxKobB/k7+/XTDxvS1UXF+TF+KzATXZdcfJEbVlt5xCdQw4iQw1kxvieWmzoHg56qq9n2ElGTDhbvrmGaLNx4iTgVI/tbOAvm6p9rvXbXfz7E/uxhupZnRtLW/8ItV3eAGXSa9FowKBoyIuzMCfJwq/fqAj42gD/2FzLrYvTiAo3Bn3MTJOAJYQQQpyitv6Rae+7Pf59qn6xsYyocCP//sT+iVWaN4+2szInJmgB/VVFCaRGhgXsaTXZ7roe9jX08ujO4/28jDoNSzOjeL20jd5hJwkRId56Krc3eC3LiiIjKozuwVH2NfROPE9R4KsX53JRfixNPXYe3F7L/Vtqcbg8Yx3uU/jMsgzSo8MAqGz33aqbauPhVopTI3hkRx0qMDsxgsWZkUSGecNOQ/cwfxpbVZtKVeH5vc2szI4h1KDFoNWg0ypcMz+Jx3bWT/wcZydZ/LZJJ+uzO7E7p/8ZzjQJWEIIIcQpSowwcfGsWPrsTvbU9TB1ASrWbOT64iR21nbT0O0t9C5MtPDr18t8tuR6hp1EhumxhOjoH/ENKaEGLbctTUerUYgwTf/rWlEUHth6fAZhvCWENfmxvHigmQGHixcONGPSa7lybgIOpwen28PrpW2Muj3MTY7g7pUZuD0qyZEmilMimZ1kYcTl5r9ePMwbR46HP2+H+zrKWgf4460LsIUZ0J2gzYVBp/Dd50up6zq+fbcqJ4afXTebJFsozb32aQPa5spOhhwuUiLDuGVxKt1Dozyx63i4unhWLPvqekmymmgKMrh6QZqNyLAPtm3Dh3+OUQghhPgIqO8e4sldDfzmjXLu31rL0ZZ+v8d4g0krz+xrZHNlJ009dq6em8TSrKiJxxh1GtoGHDyzt4mcWDOFid4WCgkRJmq6/GuEntvXxEWz4rh8TjxhBi0mvZZPLUnlkc8unpi/tygjimB9M0P0Giwmnc8Kzpr8WB7dWe8zfsbudPPU7kbiI0J49XDrxOMPNPbxt/drePNYG+sK4pmXaqXX7uS1w60+4WqybdXd7BobwFyYEEGyNfgpvcyYcJ9wBfBeRcfECcYTFdHHWowTTU9vXZxKqF6L0308pJpD9LxxrI2VOdFBX+Mzy9J9+op9ECRgCSGEOO/tqu3i929X8n5FBzVdQ2yu6ODaP2zhhf2+43Ge2dPIPQ/t4b3yTkacHpr7Rnh+fxPDDhfFqTaMOg2fXJTK66VtALx9rJ2CBG/ACrbQ41G9Iauuc4i3vraa975xIT+5Zg7zU20Tj5mTFMG3L8v3C1k6jcKNJSnUTwoweXFmDjT2Bv1eXz3cQkmaze96fZedrVVdvHywmSt+9z6byjqm+5FxrNXbAT8y3MD3rpxFoG4O+XHmoNup/9hcQ3v/CLlxZtYWBJ8feMui1InDATlxZmItvnVUOq2CqsKu2m6unZ+EcVIHepNey5cuyuaSwg9+PqFsEQohhDiv7avv5gcbjnBk0opVhEnPTYtS+eYzh0iPDqMo2Up91xA/nnJSbtyBxj7uW51Jss3EYzvqfVaTtlV3sTDdxurcGN6r7AzaFf7igrig/Zo0GoWL8uOoaBvE4fIwMOLCYtKh1Sg8tbuRJJuJeSlW9jf0khMXzksHWyaeqyi+nd0buu3MS7YG/j4aenl0Vz0ej38Pqqn0kxLjJYXxPHDHIp7e08jbx9qJMOn45KJUdtf28G554KDWP+Kif8RFrCWEL63J5lBjL639vs1U1xXEsXZKOBqv/QJv8NSPJbuqjiHa+h2sLYibaGQ66vaQbDWdsDnp2SABSwghxHlryOHkJy8f8wlX4C2KfnxnPZfNTmBbVRdFyVYON/czNE2xeVnbIDtruv2KrRt77Hz/ylmszo1lxOXhW88e8ntuhEnHJYXx037WrNhwrKF6/rG5BpNey7DTPRGcKtsH+fZl+TR0DzM86sZs1JGfYCYlMpRRlwcFMOg0VLQPcqxlIOipxVG3ynh9/olqq+anHF8FUxSFlbkxLMuOps8+ikGrxaOqPLM3eCPTRGsIUWN1UXOSrTx69xLer+hkW3Un4UY9q3KiWZoZRVufg8q2QeIiQsiKCWdJZiRxFiNt/Q5y48IZHvVMtJsYdLh8wqVRp+Hrl+RN+32cLRKwhBBCnLf21feyp85/VAyAw+VNGuMrTq5pTqmBtz4rUChJsZlYnBmFUa/l2vlJ6LUKv3u7groub0H2pYXx3Lsqk8LEiBN+3juWZ9DcO8LLh46HCL1W4dr5yfxjcw0l6ZHYQnXcuyqTVw638uxe3y3O4lQbty9L44ldDQFf3zNpqWtzRSdXFiX4BJZxdy5PZ36q1e+6VqNMnA4EuGdlJt9+7nDA97p7ZSZt/SP02Z2kRYWSGRNOZkw4ty9LB+BIcx/f3VA60SfMqNNwx/J07liWwZ8/tYCvPLGfUZeHd8o6uHlRKo/uqPM5bKDTKHzz0jy/YdgfFAlYQgghzlstfdO3WxhwOJmX4g0+efGWaXtWxZiNAXtjfXZlBhEm70qNUa/l+gUprJkVR0P3MEadlsyYsKD9oaYy6TVcPCsWa6gerQIx5hCae4d56WALAw4XG0tbMem1fHJRit+qHMDe+h4WZdgCntq7fE481R0DE1+3Dzg40tzPDSXJoHq3GhVFIcVm4uJZcRN1UdO5siiR+u5h/vxe9cRqmzlExxcuzKaxx84f361ieNRFrNnIp5akUTAWMht6hrnvkb0+xfEOl4c/b6qmc3CU/752Dj+/fg7P7m1i0OHihf1NXDs/CZdHZcjhItyoR6MhaAf9D4IELCGEEOetCNP0v4DDDDoWZXpP8rncHtbPS+SZKatCAJnRYcRb/JtY3rAgmavm+g9MtoUasIWeWtuAqo5BvvH0AfbU9fpcXz8vEWuYntx4M0lWEwUJZn77VmXQ13lmTxNfXZvHzpouqjuHiDUbWZUbg8fjQafRsLe+b+Kx1Z1DzE6KoLS5j6qOoYnrv3+nkl/dMPeEw6DNJj1fX5fPZXMSONzUT4hOoaxtkF+/UT6xQmgN1XNlUSJffXI/v7+lmOxYM1sru/xOHo57ek8j6+cl8uXH93HhWFf4/hEXz+xtQlG8K10jTg+K4j09+GGRgCWEEOK8VZxmI9EaQnNv4JWs1bkxFCRE0No3wn2P7CXMqOWGkmTeOtpO99AoWo3CBXkxfOHCbLJjw1mUEUVpcz+KAnOTIpifZpuR9gBuj8of36n0C1cA75S1c8/KTJ7a08jRln4SrSHTNtXsGHRwrLWfIy39pNhC6Rh0UNs5xLHWARKtJrJjw6lsHwS8vbuqOgZ9whXAiNPDlx/fT6LV5HPaMRCHy02/3cmI001r3yh/ec+3Y3vvsJNHdtRxU0kKbx9tJzvWzJHmviCv5rW/oZfuIScNPXby480TJxpVlYkO+ncsy5g4wflhkIAlhBDivBUdbuRXN8zl7gf3+G2bfeuyPNbP867QbKvuor7bu6JS3jbIyuxozCE6VGBbVRetfSPMT7VxQV4sFwSYtXemjrX289w+/5UzgCvnJPL/3iznqqIkRlxu6jqHiQ430BnktGLWWF+qzsHRicfMTbZyrHWAY60DrMyJZm5yBFUdQ8xLsXL/1tqAr+PyqLxX3jFtwGrutfOjF4/wWmkrF+TGcKgpcHBSVajtGqKtz849q7MwnSiUjm037qzpZk1+LBnRYbxT1s6I00NUmIEbSpK5d3UWupPcej0bJGAJIYQ4ry3Niub5zy9nS2UndV1D2EINLM6MpDjVNvELur77+AqO26P6tR4YD19nS/fQqF+3ePCGpSMt/Vw3P5mNR1rpt7vQKHB9cTJP7Ql8gq8k3eZX5D7idBNm0DI06ub9ik4AUiNDsY8G77AO3l5YG/Y3kmgNpSg5wq8dwgPbanltrEjdHKKjK8g8RYCjLQPcuzKD7oERFmfY2FIZETCQheg1ZMUeb9Xw9rF2Qg1aVufGYtAq9NmdJFpNp7wFO9MkYAkhhDjvZceGT3vazGz0r9VKjAghN85M/4iT8BN0Iz9TUWEGNAp+Iasgwcz26m4iTHr67d4w5FHhaGs/6wrjef1I60RxuVajcMWcBHaPdWCfrKl3hEtnx/vUl9V3D1N8gu0/rUbha08exOVRuWJOAt+6LI+USG/4qekY5P4ttROPVRTFryfX+GvcsyqTEaebp/c28cjOBpZkRrIw3casBDNlrQMcaDwetP7rqkIWpNqICTfQMbYCNzzq9jlt+N0rC6b93B8ECVhCCCHECZSk2yYCTmSYgUsK4qjpHGJPXQ+2MAP9dietffagjULPVH68heuKk3h6j+82oVtVWZoZyUuHfFspHG7qp2PAwTXzknB7PCxMjyTeEsL3Nhz2a+apKN5ZfTHhBoqSIzg4Kcw09Q6THhVKbZCC8xC9duJU5cuHWrCE6PjxNbPRaTV0DY1OFLID7KjpYllWFFsquyauaTUKX1+by2O7GnxWAZ/Z20S4UceVRQlEhRu9va/MIVwzP5FVubFoNQq/v7WYzz28h56h4yc3TXotv79lPrlx5pP90Z41ijo1Sn6ISkpK1N27d3/YH0MIIYTw4fGoPLaznh++eIRPL0nlQGMfIy43pc39Eysyq3Nj+N8b5hJj9j9NOBOqOwb51jOH2DlpBcoWqufO5Rn86o3yaZ/73jcuJDUylMd21vHcvmZ21nhfIz/eTEmajVcOt/C7m+eTGR3O+xWdbCrvYMTpwhpqIDUylIe21fls7ykK3FSSwhtH2ugaGiUnNpw5yRH02524PSoL0yOZm2zlrgd2MTIpZF1XnMTmik7aB7wh76q5CWgVhef3Nwf83IszImnpG+FLF2VzfXGyX3f5ph47O2q8NXCRYQYWZUSSGfPB9b1SFGWPqqolAe9JwBJCCCFOzO1RefVwCy/sb+ZgYx9hRi1FyVY6Bx0cbelnaWYUF+bHsDInhhhzyFn5DD1Do+yu7aaiY5AQvYbilEg0Cvzn84c41OTf9wrgovxY/vSpBRh0GoYcTjbsb2ZPXQ+jLg/VnUP0251878oCv07yD2+v5bvPlwKwtiCOcKMOj6pi0mtxuDy8U9ZO77CT3Lhwkm2hvH3MdzB0qEHLVy7O4Q/vVrE6NwZVBVVVyYkz09gzTFOPnQvyY/jrezV0DPiuqk129dxErKF6frR+9hn+9GbedAFLtgiFEEIIvGNz9tb3UtM5RJhBR3GqlYxJqyFbqzr52pMHfLa9qjqGmJVg5uq5idy/tZYXD7YQazbwhTU5XDs/acYbXdrCDKwtjGft2NdOtwedRuGuFRl85ckDfvVNGgVuW5qOYWwAcphRzy2L01iZE0Nl+yB6rUJBYgSRYf4F4TmTttneOOIdXm026liYEekTpuYkRQTsDTY86uadsnaunpvIIzvqcY9tJSpKC9fOS+RXN8zlnfJ27NOMHwJvd3l3kOauH2USsIQQQnwsNHQPM+jwdgWPCj+1bbqazkF+sKGU98ZO0IH3tNrPri3imvmJDDnc/OzVoz7hatzRlgFmJVjGOwfQPjDK9zeU0md38sU1OWfyLQW1u7abVw+38vaxdmLNRm5ckMzvPjmf379dQVmbt4fV7EQL/742l1W50X7PT4kMJSUydNr3mJds5balaeyq7SYrJhyHy8P7FR0+Ycximv5kYLItjAe31flcU1V4dl8zs5MiCDNqKU61+vzcJ0uyhtA1OEpxgLE8H3USsIQQQpzTajsHeWRHPQ9uq8Ph8hBrNvJvF2RxbXHyCTu1g3cV6P+9XuH3S37E6eFrT+0nwRqCTqNwpHkgyCvA4aY+7lqeQfuAA4+qYtBp2FbZyeWzE8ia4Vl4bx9r53MP7ZkYKl3TOcSOmm4uKYjj77eX0Dk4iqJAdoyZ8JDT/zWvKAoLUm3sb+jlpYMthBq0rJ0Vx7KsKKwmPX/fXIPZqKff7j8eCLxNSvc3BJ7zCPCnd6v4/S3FJNtMQUcQXTMvibePdZyV3mJnmwQsIYQQ56y2vhH+/Yn97G84fvKtfcDBf714hJa+Eb55aT4ajf8A5smONPfzwsHARdYe1bs9tnbW9L/g7U43+xt62D2p0/p4j6qZDFg9Q6P81wuHJ8LVZK8faWPd7HiuL06ekfd6dm8j33r20MTXw6NuXjzYQmXHIL+/ZT7LsqPYUd3FwIiLvfW9fs9PjwrjlcP+g6LHdQyO0tgzjMmg5dYlaWyu6JjoGB8TbuTmxSn0Djn56TWFH2jh+kz58FqcCiGEEGdoa1WnT7ia7G/vVwcceDxVdcfgtPf31feQEROOxRR8TaIwMYIjLb4rXFUdg9y/tZbhEzTrPBWHm/uo77YHvf/aNIHmVDT3DvPfrxwNeO9oywDbq7pZkx/Hty8v4JOLUjHq/ONE9/AosdNs1Rp1GpxulYe319MzNMqlhfF8cU02X78kl6+szaGmc5ChURfF6ZEz8j190CRgCSGEOGdN7tk0lUeFo9MErI4BB795s5zNlYHrf8ZlxYQTZwnha2vzAt436bWEGrQMByjW3lPXw/6G3mlf/1RMN2MQoDvIeJxTdaR5gP6R4MFwvDs7QFGylb9+egGJ1uMnJxUFUm0mPrM8I+hr3LY0jcJEC6NuDy8caOYP71bxf29X8r+vl/Od5w7z4oFWZn2IswTPlGwRCiGEOGdptdNv/ylBbo+6PPz69TIe29XArAQzhYkWSpsDh7FLCuMA+ERJMooCv3mznO6x5pYLUq2szInh9+9UBv0MbX2BB0mfjoyoMAxaTcAtQmDGapVOdGZv6mnF1XmxvPiFFexv6GV41EVqZBiFiRa6BkfZW9fDG0fbfB6/INXKrYvTSIkM5ZZFqTyyo/74vTQbKbZQFAUSIkwMOlxnvVP+2XDufWIhhBBizPwUa9B7eq1CUVJEwHuHm/t4bGwe39GWAW4oSaZ9wOHXj+nLF2WzKicGgDCDjtuWpnNJQTy1XUMYdRry4s38vzfKAxZo6zQKK7KjsZj09AyNYgvQCuFU5cSZuWdVZsBAF27UcdEJasUmK28boKXXjjlET2GiBaP++BzB/Hgz4Uad3wDscWvHQudkUeFGLprlez0uIoRf3lDE9uou9jf04VFVZidaWJIVRexYr7AvXZRDqEHL/Vtrub44mZ013eyp8xbHP7evieIUKz+5djYFiYH/WX5USaNRIYQQ56zuIQdff/IAb5d1+N375qV53HdBdsDnPb6z3qeAG+CiWbFYQvS43B4iQvXMT7EyN9nK3voemntHsIYZWJwR6bdttbWqk1v+tsPn2uKMSBIiTLxb7m3GmRARwr2rMlk/L+mMg1b3kIOHttXxp01VjDi9K1nzUyL45mWzWJIZdcLnt/bZ+fv7NTywrRan25sBVmRH8x/r8pg7KbA+uK2W728o9Xt+VkwY/7h9IenRYX73zsTbR9v45rOHAjYdzYsL59G7l5xy+42zTTq5CyGE+Nhq6bPz4v5m/r65hvYBB3OTI7hjeQaXFsYTYtAGfM7Texr4+lMHfa7ptQorc2IIM2jJjTPTNTTKc/ua6JvUhkCnUfj1jXO5el7SxDWX28MjO+r5wQveMFKYaMGk17K7zr9FwaeXpPLdKwsw6gJ/rlNR0zlEfdcwoUYNBQkWhkfd7KvvpX/ESbLVxNxUKya970bVqMvDd547xNN7Gv1eL95i5PF7lk4EJ4fTzauHW/nTu5WUtQ1i1Gm4ZXEqN5Yk43JD/4iTeEvIjJySPNjYywNbawM2LB33p08Vc9nshDN+r5kkndyFEEJ8bCVEmLhndRY3LEzBPurGGqon1DD9r7e5yVafWqb5KVbSo8N461gb/XYXF+W7OdjU5xOuAFwela88eYD06DCKkq0A6LQaPrUkjaLkCHbWdOP2qPxiY1nA931oez3r5yVRMgMn4zKiw8gYC0NbKjv42pMHfAY5r86N5ntXFpI9KQAdbu4LGK4AWvsdbKnsnAhYRr2Wa+YncdGsWNr6HYToNQyOOPnNm5UTRe4GrYbbl6Vz54p0Es5g0PXbR9sDNnGdrLEn8MDpjyo5RSiEEOJjwRZqINFqOmG4Am8t07cvzwcgyWoiMtzAc/ua6Ld7a47MIfqg8/HcHpXtVV0+17QahfmpNu5dnYUzSAH6uMNBiulP17GWfj77wB6fcAWwqbyTH71Yit15vI6qut23JYUt1Ft/FTO29Xao2f9UpjlEPxHS7ntkn88JwlG3h7+9X83/vHoMxwlOOE5nc2Un2hP0KzMbZ3bs0NkmK1hCCCE+tkZdHuq6hvCoKimRoT7h69bFaSREmDjY0MsfN1X5PM/tmT4kdU4zHuaDtrmyM2j7hvcqOjnY0EdhYgRaDYSMFbLHmo2szouho99BQ88wufHhrI6IITEihAG7k911PRxs7AVgTrKVhWk2tlZ1UdM5FPB9nt/fzK2L01iYcXorc7GWEDSKgqL4n1AEb8+smVj1+yCd9YClKMqlwG8BLfB3VVV/frbfUwghhNhe3cU/NtdMDCpelO5dYVqTH4uiKBh0Gi6dHU9lu/8IHK1m+g2eWHPwYus5ydOfdpudNLO9ncrbAo/w0WkU1s9L5Pn9TXzp8X0YdRo+sSCZ64uT0Go0PLm7YeKx4x3U716ZwU9fOcrjuxp8XuvSwjjmTXNiE6CifeC0A9a6wji+v6GUmxem8tiuep+QpdUo/Py6OT5bneeCsxqwFEXRAn8A1gKNwC5FUV5QVfXI2XxfIYQQ57fdtd185l87J07ZAeys7WF33W7+elsJF09qJxBoXmH7wAhJVhNNvf5d0w1aDcuygp/WW5gWyeWz43nlcKvfvU8sSObN0jbePtrO4swoFqdHBi3EP1m20MCnEm8oSWbD/mafBqi/fqOC25em8fCkvlOT/e39Gq4rTvK7/lppG0nW4DMDAZ82D6dqVW4Ma/Jjea20leuLk3E43fTandjCDKwriOOKosTTfu0Py9muwVoEVKqqWq2q6ijwOLD+LL+nEEKI85iqqjy1u8EnXI3zqPCnd6p8xtcsSLP51f9srepiRU40cRbflSqTXssfbi2etieT2aTnv64u5Gtrc4kca8kQbwnhhgXJ9NmdDDhc/GlTFbf/cyf/904F9jMcpZNs8y8uz4wOo6x1IGB3+Z5hJ+4gIQnA5Q5877l9TazIjg54z6jTTNuT7ERsoQa+f1UBP7iygCGHi5a+EZZkRPLZFRnnZLiCs79FmARMXmdsBBZPfoCiKPcA9wCkpqae5Y8jhBDi465jwMHz+wMPbwbYU99DbdcwBWP9rGYlWPjq2lx+OeXk3xO7Gvjimmwyo8NoH3BgCzWwMCNy4uTedMwmHQebepmTFIElREfn4ChP721EVb0rZpcWxvPq4Vb+8E4V81OsXFwQf9rfb2OPnfXzEtkw6XuenRTBCweCDbCevj1TsPZN3cNOlmVH8W65f8+xH1xVcMYDmW2hBtbPT2L9fP8VtHPR2Q5YgY4E+PyTU1X1r8BfwdsH6yx/HiGEEB9ziqKgCTYjZ8zk7RtFUbhreQbJNhMPbavjYGMfybYQbl+WwRVzEoiept4qmP31fbxxpD3gvT67E9OkbcGNpW1nFLAUYFdNN9cXJ+FweRh0uKYNgYYAg5kn0we5H28xcsWcBKLCjTyzp5HaziEWZUSyfl4iq3JnZkTPx8nZDliNQMqkr5OB4H+sEEIIIc5QjNnITQtTuH9rbcD7K3Oi/QJIiEHL+nlJrCuMp8/uJMyoO6P5d3VdgU/bjRtyuCb6cAWq8zoVCzMi+fN71TyztwmdRiFEr8Xh9JAYEUJzgDmIFW2DFKda2Vvf63cvOzaM1iCzE1flxuBR4friZK6Zl4TD5cak16KcIMyer852DdYuIEdRlAxFUQzAJ4EXzvJ7CiGEOM9dX5yENdS/eN2g1XDv6qygBdkhei1xlpAzHi4cdoLnG3VanGOtIALVUJ2KJZmR3L40DfA2Qh10uNhe0xV08HNZ6wBfviiHTyxIYnLp2brCeD5/QbbP6tq4NfmxHGsdYFdtN+A92Rdq0Em4msZZXcFSVdWlKMoXgI142zT8U1VV/8FGQgghxAyak2zlwTsX8fSeRp7Y1YDLo3J1USI3LUxhyTQnAGfKgjQbFpNuonHpVDqtgqp6x/PkxpnP6L3CjHq+vi6PkvRIXjzQTE3nEEuzorhiTjzzU638+o1yWsZWpYqSI/ja2lxW58WyIieGO5Zn0N7vIDLMQEGihd+/XUFZ6wDXFSdNFLvrtAo7a7pp7LHTNRi4+arwJ7MIhRBCfKy19Y/g8ajEWkJO2C18Jm0sbeULj+6dGKg87oo5CRxo7GVgxMX6eYlcPieeJZmBT+edDs/YCcGytgE6BrwjbrQaBUVRyI0LJ3yajuiP7qjnO88dCnr//z45j6vmfTyK0GeCzCIUQghx3oqzhHwo77uuMJ4n7lnKu+Xt2EfdaBQFvVZDuFFHTLiBhl47WgVKm/qJDjeSHXtmK1nj6ruH+eO7VTy9p4HxbgyXz4nnyxflThuuwLvdGGbQMhSgvUN8RAiLMs7+6t/HhQQsIYQQ4iwpTrPRMzzKN585SOfg8fE6F+XHUpBo4cFtdfTZnfxraw1/v20h+Qln1uV9wO7ku88fZnNlp8/1Vw61UtM5xAN3LCI2QOB0uT28X9nJq4eauW1pGo/srPfZ3oyPCOH3N88nLuLDCavnIglYQgghxCmyj7rY39BHRfsAJr2WeSlWcgLUUu2r7+G+h/cyOmUA9FvH2nGrKiF6DX12aOwZ4ak9jXzvyoIz+lx76nv8wtW4oy0DbK3q5LLZCT5F/qqq8ujOer6/wVsirdUorMmPJcygIzrcwJzkCJZkRn1oK4HnKglYQgghxClo6hnmRy8dYWNp28Q1g1bDD64q4KaFKei0xw/ov32s3S9cjdtU3sH6uUk8v78JgIe31/HZlRkkRJz+qcLK9sFp779T1sHv36lkeVY04UYdmbHhZEaH8aMXj2A26ggxaOkadEzMbwR44p4lEq5OgwQsIYQQ4iSpqspf3qv2CVcAo24P//n8YRKtJi7MP94eYbytQeDXArfnePhyuDx+BfGnKkQ/ffclVYXK9iEq24coTLSwt6GXeIuRzyxLp7pziCGHi2VZUXg8Ki8fasGjwp66HhZnSu3VqZKAJYQQQpykirYBHg0yKBngxQPNPgEr2RYKBA9ZmkmnGlfkRBN3Gl3jJytO9c5VDDZrUK89/n6lzf18bnUmpc39PLfPtwe4JUTHzYtSeWRHPcNO/4J3cWJnu9GoEEIIcU6p7hjksR31/OndSp7b10hz7/DEvbZ+B65pBiXvruvB4ToeSC6eFRf0selRoTR0e19bUeAzS9ODNkA9WbMSLPzn5bMC3rtiTgJbq7p8rtmdbt6v8K/Z6h9xsau2m9lJFnLOcMbg+UpWsIQQQogxbxxp44uP7WXEeXzrLibcwJ9vXYCigQONvVxVlIBep+FoSz9HWwYA0CgQFW5kdmIEhkk1WCtzorhrRTr/2Fzr8z6WEB0rcmJ4eHsdKTYT37psFmvyz3yen6IofGpJGqmRobx4sJn9Db0kRphIspnYU9cz0XAUIN4SQnnrQNDXKm8b5NNL0liSFXnGn+t8JI1GhRBCCOBYaz/rf78Fh8u3KD07NpxZCWZePNDic31Bmo0QvQZbqAGdRkNrv504SwhrC+JYmRNDhMnbc2po1MX2qi62VnXSNTjK7KQIStJtDI+6URSF/DgztjDDWfme6ruGuP2fO6npGva7lxvnXZkqbwteGP9/n5xHr93J60faQIVLCuNZnRtDalToWfm855rpGo1KwBJCCCGAf22p4X9eO8YFebHoxzqfD4+6iAwz8OTuxoDPuakkhXfL22nr9x0hc11xEt+7ouCsBadT8ddNVfz3q8f8rseEG1mZG82ze5sCPu+yOfFUtg1SMeVkYk5sOH/6VPGMNUY9l00XsKQGSwghhMDb2+qquYm8V97BiwdbeOFAM12DDsqm2UbbcKCJ+ak2v+vP7m3inbL2gM9xuT3srOni/96q4IcvlPKvLTWUtwV/jzM1NyWCG0tSJlbUwDuTcG1BHCa91qfwfVyoQUu4QecXrgAq2gd5YnfDWfu8HxdSgyWEEEIAKvDUlJUqa6hx2lYLI04P+iDzDTfsb+K64mSfay63h4e21/HDF4/4XA8zaPmf64soaxugsn2QjJgwVufEsDA90uek4elo63fw3L5GVubEYA3Vkxppos/uomtwFJfbw5fW5PDQ9jraB7yrcBoFvrY2l1++Xhb0NR/cWsedyzJIsJ5+z64Rp5uDjX3sb+jF5faQn2BmYVokZtP043zOFRKwhBBCnPd6h0d5cpf/NmBLn52USNNEMftURp0Gd5BSm8aeEdwe1WfA9Ltl7X7hCmBo1M0PXzxCQaKFTeUdAPzp3Sp+ft0cbixJQVFOP2TZQg043SpvHwu8opZsC+XlL63gQGMf9lE3GdFhhBq0/Pjlo0Ff0+HyYD+D9g0DI05+91YFf3u/xuf6hXkx/OSa2STZzv0aL9kiFEIIcd5r6Ruhrtu/EPxY6wCzEyOCPm9NfizvlQceTbM6N9onXLX02nl9SoPSyToGHdhCj9dsqSp857nDHGnpP5lvIah5qVYKEo/XSxm0Ghak2ViY7i3SX5UbQ4w5hItnxXHV3ERmJ0UQazEyJyn49z070RJwpuHJ2lja5heuwNtp/sHtdaf9uh8lErCEEEKc90x6LbogW3GHmvpYW+DfQqE41UpmTBiDDpffPZ1G4dLZCT7Xtld30jfinPZzTO7s7v1anXaL8mSYQ/T89Jo5xFmMXD4nnnWFcbT2jdDQbef64mQsJv/NrHCjnrtXZgR9zXtWZRJuPL1NsBGnm0emCVH3b6mlrmvotF77o0S2CIUQQpz30qJCuakkhUd2+ndpP9Y6wMJ0G58oTmbU7SHUoGVBmo2Ht9exvbqbSwriePNoG+P9R6PCDHxhTTaLMnz7R+2p7yXUMP2v3clzDMcNjvgHuFM1P9XG7z45ny89vs/nxOMjO+p56WAzv7i+iKVZ0Vgm1T+tmx3PT6+Zzc9fPcbAWIg0G3V867J81s2OP+F7vnaohb0NvQyOuLCF6lmUYWN1XhwDI07Kpinqd7g89AyNkhYVdgbf8YdPApYQQojznqIofHppGpurOqmb0jMqOzaclr4R3jx6vIapJM3GgcY+AJKsRr6xLp/G3mH67S767E5eO9xCTmw4K3JiJp4TovN2abeYdPTb/UNTQYIl4LDmlBPUI/UMOdhe00152wAGrYbiVBvzUqx+XeFfP9Lm104CoM/u4uEd9fxzSw1fXJMz8ZmNOi23LknjgrxYjrb2o6owK8E8Nv5nev94v5qfv3bMZ7biA9t0fP/KWVw9L4m8ODP7GnoDPjdEr/lItLc4UxKwhBBCCCA/wcIDdyxkU3kHLx5oQVEgNTKU9gGHT7gCGB49XuC9KjeWX71R5jeoee/9u7j/M4uYn2plU3kHDpebqvZB1hXGo9MobCxto3toFIBZ8WYyY8J46aBvM9O0yFCWTDNoubZzkP94+iC7ant8rt+7KpMvXpRNuNG7ItXWP8LD02zLbans5PI5CXz2wd08cc9S5qZYJ+4l2byd4Keq7xrm/YoOtlR1YdAqrMyJYUVONHvquv3CFcCgw8XPXj1GWlQYty5JCxqwbl+Wfs6vXoEELCGEEGJCenQ46dHhdAw4eHpPk19wGZcZE0ZWdBgOt4eqjiG/MAGgoHCwsZf3Kjr46/vVTBw2rPbWVN13QRadAyO4PN7Tc/dvqfV5flFSBD+9dg5xEYGLyVVV5W/v1QT8jH95r5r8BDPXzve2iXB5PIy6PX6PG+dRQcHbduL1I60+ASuQstZ+/u2RvVR1HK+Ven5/M0szI5mdFBHw5wHQM+xke3UXd67IoKw1k7+9X+1zf01eDLctSZv2vc8VErCEEEKIKUrSI/n9O1UB7y3PiqIkLZKfXT+HJ3c38PQe/07oWo3CvaszqWwfZMOBZgJ1cvjLpiruXZVJYaK36eeaWbHsb+ijc8BBVLiB+Sk2wkMC/5p2e1S2V3UGbfiZHhXKsZZ+fttVzqjbQ3ZMOHevTOev79UGfHxenJnqTm9YevtoO/+xLj/g48Ab7O7fWucTrsZtq+4mLXr61ac+uxNziJ6vr8vlkoI4bx8sj4f8BAslqTbpgyWEEEJ8XC3PjuZ7V8ziJ68c9QlH2bFh/OcVswgxaFmUEYVeq+GZvU1THhPOiuwojrb0E2bU4fIEXs3xqBBjDuHKuYkAGNGyIjv6hJ+toXuY371dwcioO+Br58WZSY408Zf3fNsgZMeG8ZWLczjQ2Mem8g7ck567MN3Gwzu8Bf4xZuO071/TOcRT03RytxinD0hRY/VVRp2WhRmRLMz4eA6TloAlhBBCTKHXavjM8gwWpEeyu7abIYeLjJhwlmRE+vR/Kkq2cnVRIhsONAPedg/zUqzUdA6zr76HVbkxwd4C8A6CPhUOp5ufvXqMVw61cMWcBAxajd/W3+wkC88EmC9Y2T7Ertoe2vrsfGpJGo/vrCfGbOTCvFheOXS89uuqscAXzPCoK2hoBMiIDiVEr2HE6b8lGWcxsiw7eE3Zx4n0wRJCCCEC0GoU5qVY+ezKTL58cS5Xz030a66p1Sh8amkaoQbvib0L8mJ4+WALo24PBp0Gg276X7OnWsx9oLFvIgy9X9HBhfm+/bnSokKpDrB1N25LVSezEiN4fGc9X1iTTZLVxEPb6+gaK7ZfVxjn95pTxUeYiLMEX+V6u6yDH1xVgHlKn6xYs5HvXDaL+akfzxWrqWQFSwghhDgDC9MjeeiuRTyxq4ERpxu7083euh7WFngbeqZGhlIfoEt8enQoi09xe6x2UgPO/hEX9lEXxalW9tb3At4Q09BtD/p8VfXWUDlcHuyjbhZl2Oi3O4kxG7lybiJr8mOJDp9+izA63MgX12Tz3edLA97/RHES62YnkGIzsbOmh4ERF5FhBpZmRVGSfn6EK5CAJYQQQpyxBWmRFKfaeO1wKy8caMHh8uD2qNR0DrE4IwpziI7S5uMjb+anRPDja+YQd4rjZsZXysb12Z0sy4qiONWGRoFYSwjvV3QQGWYgJy4cj0dFq9Gwq7abpl47Bq2G8c298rYB/n77Qr66Nu+UZx2un5dE95CT379dObFFGW7U8Z+X57NmVhwAK3JiWZEz/WrYx5kELCGEEGIGKIpCSbqNWLOR9gEHrx5u5bLZ8bg9HiwhOm4oScZm0lOYFMHFs2IJO0ExeCDFqTYsITr6R1xcNjueuq5h/rTpeKsDs1HHNy/N55GddWzY3zxxfXl2FPkJZvRaDe+NDZMe7211OoOkzSF6vnRRDpfNjudY6wA6jUJhkoXUyHO/f9VMkRosIYQQYobEmEP4wVUFjGeWVw+3srG0DVAIM2i5c2UG6+clnVa4Aki0mvif64uYFW+mudfuNwh6SVYUv32rgqMtvqNotlR20Ts0isWkpX9s9M7qGVhdyokzc9XcRC6bkyDhagpZwRJCCCFm0OVzErjfqOOpPY1sKusgIlTPmvxYLpsTT7zFvyP6qbpsTgIut4cvPr7f7545REfHoP84HPDOQhzvUfXFNdksyzo/TvN9WCRgCSGEEDNIURRW58WyIieG3uFRjDpt0Iahp8sZpE3CqCt4t3aA6DAjD9y5iCUZkX6zCsXMkoAlhBBCnAVajULUCU7kna6IIN3ONSeop8qNM7P6BL25xMyQGiwhhBDiHFOcZiM9KtTvuk4bPGCZ9Fr2N/Rw74O7eelgM0MO59n8iOc9CVhCCCHEOcYWauAXnygiwuS7EbW9qotbFqX4PV6jwPULknlqTyMbj7TxhUf38Zs3KxkZdX9QH/m8o6iBJlB+SEpKStTdu3d/2B9DCCGEOCdUdwyytaqTirZBeu1OdBqFyo5BsmPC6R5y0jPsIN5iwhyiY2Np68QJwnEP3bWIlTmyZXi6FEXZo6pqSaB7UoMlhBBCnKMyY8LJjAmntnOIy377Pnand0XqQEMfFpOOTxQn89jOhonrU+2p65GAdZbIFqEQQghxjkuPDuPfLsjyudZvd9Ex4AgargCGZYvwrJEVLCGEEOJj4FNL03CrKn96twrHWLuGyDDDtM/JiQ3/ID7aeUkClhBCCPExYAs18O8X53JVUSI1XYMYdVry48y09I3w+pE2v8enRoZKs9GzSAKWEEII8TGSFRtO1qSVqe9dWUBUuIEndzfiHmtQekFuNP+xLp8km3+rBzEzJGAJIYQQH2MpkaH89Jo53LY0nda+EayhegoSLNLJ/SyTgCWEEEJ8zGk0CrMSLMxKsHzYH+W8IacIhRBCCCFmmAQsIYQQQogZJgFLCCGEEGKGScASQgghhJhhErCEEEIIIWaYBCwhhBBCiBkmAUsIIYQQYoZJwBJCCCGEmGESsIQQQgghZpgELCGEEEKIGSYBSwghhBBihknAEkIIIYSYYRKwhBBCCCFmmAQsIYQQQogZJgFLCCGEEGKGScASQgghhJhhErCEEEIIIWaYBCwhhBBCiBkmAUsIIYQQYoZJwBJCCCGEmGESsIQQQgghZtgZBSxFUW5QFKVUURSPoiglU+59W1GUSkVRyhRFWXdmH1MIIYQQ4tyhO8PnHwauA/4y+aKiKAXAJ4FCIBF4U1GUXFVV3Wf4fkIIIYQQH3lntIKlqupRVVXLAtxaDzyuqqpDVdUaoBJYdCbvJYQQQghxrjhbNVhJQMOkrxvHrvlRFOUeRVF2K4qyu6Oj4yx9HCGEEEKID84JtwgVRXkTiA9w6z9VVd0Q7GkBrqmBHqiq6l+BvwKUlJQEfIwQQgghxLnkhAFLVdWLT+N1G4GUSV8nA82n8TpCCCGEEOecs7VF+ALwSUVRjIqiZAA5wM6z9F5CCCGEEB8pZ9qm4VpFURqBpcDLiqJsBFBVtRR4EjgCvAZ8Xk4QCiGEEOJ8cUZtGlRVfQ54Lsi9nwI/PZPXF0IIIYQ4F0kndyGEEEKIGSYBSwghhBBihknAEkIIIYSYYRKwhBBCCCFmmAQsIYQQQogZJgFLCCGEEGKGScASQgghhJhhErCEEEIIIWaYBCwhhBBCiBkmAUsIIYQQYoZJwBJCCCGEmGESsIQQQgghZpgELCGEEEKIGSYBSwghhBBihknAEkIIIYSYYRKwhBBCCCFmmAQsIYQQQogZJgFLCCGEEGKGScASQgghhJhhErCEEEIIIWaYBCwhhBBCiBkmAUsIIYQQYoZJwBJCCCGEmGESsIQQQgghZpgELCGEEEKIGSYBSwghhBBihknAEkIIIYSYYRKwhBBCCCFmmAQsIYQQQogZJgFLCCGEEGKGScASQgghhJhhErCEEEIIIWaYBCwhhBBCiBkmAUsIIYQQYoZJwBJCCCGEmGESsIQQQgghZpgELCGEEEKIGSYBSwghhBBihknAEkIIIYSYYRKwhBBCCCFmmAQsIYQQQogZJgFLCCGEEGKGScASQgghhJhhErCEEEIIIWaYBCwhhBBCiBkmAUsIIYQQYoZJwBJCCCGEmGESsIQQQgghZpgELCGEEEKIGSYBSwghhBBihknAEkIIIYSYYRKwhBBCCCFmmAQsIYQQQogZJgFLCCGEEGKGScASQgghhJhhErCEEEIIIWaYBCwhhBBCiBkmAUsIIYQQYoZJwBJCCCGEmGESsIQQQgghZpgELCGEEEKIGXZGAUtRlF8qinJMUZSDiqI8pyiKddK9byuKUqkoSpmiKOvO+JMKIYQQQpwjznQF6w1gtqqqRUA58G0ARVEKgE8ChcClwB8VRdGe4XsJIYQQQpwTzihgqar6uqqqrrEvtwPJY3+/HnhcVVWHqqo1QCWw6EzeSwghhBDiXDGTNVh3Aq+O/X0S0DDpXuPYNT+KotyjKMpuRVF2d3R0zODHEUIIIYT4cOhO9ABFUd4E4gPc+k9VVTeMPeY/ARfwyPjTAjxeDfT6qqr+FfgrQElJScDHCCGEEEKcS04YsFRVvXi6+4qi3A5cCVykqup4QGoEUiY9LBloPt0PKYQQQghxLjnTU4SXAt8ErlZVdXjSrf/f3n1HV1Wl/x9/7/SQQugJJBB6lRoQRAVFxIZgp9hxHGccdeY783Mso+OM4/TlNOdrGbsiir2LIBZGBaQo0nsnEAKppOf8/nhuvjeBG0i5kMLntVbWubnn3HP23UvhYe9nP/sdYIpzLtI51xXoCSyuz7NEREREmopjjmAdwyNAJDDXOQew0PO8WzzPW+Wcmw2sxqYOb/U8r6yezxIRERFpEuoVYHme1+Mo5x4CHqrP/UVERESaIlVyFxEREQkyBVgiIiIiQaYAS0RERCTIFGCJiIiIBJkCLBEREZEgU4AlIiIiEmQKsERERESCTAGWiIiISJApwBIREREJMgVYIiIiIkGmAEtEREQkyBRgiYiIiASZAiwRERGRIFOAJSIiIhJkCrBEREREgkwBloiIiEiQKcASERERCTIFWCIiIiJBpgBLREREJMgUYImIiIgEmQIsERERkSBTgCUiIiISZAqwRERERIJMAZaIiIhIkCnAEhEREQkyBVgiIiIiQaYAS0RERCTIFGCJiIiIBFlYQzdARGpo20KIbQ9FORASBokDGrpFIiJSDQVYIk1BSQF8NxP2robcvTDyFgVYIiKNmKYIRZqC8GgYcg3sWgJFWdDrvIZukYiIHIUCLJGmoKQAFv8HTrsdeoyHNe82dItEROQoNEUo0hSER8O4+yC6NRTnQ0hoQ7dIRESOQgGWSFOR0NmOkbEN2w4RETkmBVgiwVZaDPtWQ3xHyN8PUQnQsmNDt0pERE4gBVgiwbR3NayfAxvnQVQ87N8Ap90Gw647Ps/L2QPxSf6jiIg0CkpyFwmmqJaw/StIGQ7rPrB8qZ7nHp9n7VoOz14Aa96Dp8+D3d/W7vPpqywYPLAFVr8N5WXBa1txPmyYB8WHLNgszAnevUVEmgAFWCLBkp8J27+G1DGw7SvoezFEJ8DmT4/P89r1hp4T4JXp0HcitO1du89nbYPZ18LMyy3AKsyuf5ty98KK2bB3Fbw+A16/CV69HjI31f/eIiJNiKYIRYIlewd8eCckdIHkNEgaAq27ws4lFnDsXALt+kLnETW734GtQDlExFouV4d+kLkZ2nSzY3EerHwdkk+1oGbQVZB4Ss3b26EfxCVB5kYYew+0aH3sz5QUwqb50GU0bPkM8vZBj3HWjgGXQ1EezPsttEyBPhfBty/aFGmHfjVvl4hIM6ARLJFgadsT+l8Ku5dBRAwMuNQCi9xdNoU35x4oL675/Va+Bm/9GD78JXz5d5sCfHIcLH8Rnjwbykrgwofh6lfhwr9aUFMbu5dDp6Fw6RMWCOXvP/KakgI7FvuOObtg3gPw8nR48xYoOAiPnQEbPgavDFp1gZ7joNMgWP8BTH4Uvp0Fe1fWrm0iIk2cAiyRYNm31kZ3rpoJK9+EzA0QHgMJqbZ/YHQr+6mp/pdC+vew6g049Rbo0B+GXAtv3wojboakQdBvouV99fNNRx6N58HWLy0vavtCG4U6/68w8Cq45D8Q09auqwiqcvbA+z+HrQtg/oOw8RNo1RWGXQ/bFkCPcyy3qjgPYpMgIg4ObLJAsMe5MOxG6DAQbvoEOg2rfX+KiDRhCrBEgiV5GFz/PvS9CG78yKbrCrMtSLr2Heg/GbJ3Bv7svjUWmBzcZnlcAKvehPZ9LZdr0WN2zZL/WOC18DErBXG4g1urHquc2wZv3Awf/AJemGztivFNC8b6gqv9myyA27kU5v0aOo+EZy+Cte/bdOLBzbDwf+GypyFjHbTsBD/4FMKj4NB+6DgErn4DepwNI38MSQOgdWpde1REpMlSDpZIMFWUSqg4xrSBC/8C4S0geThEtAj8uS1fwJf/goQUm+pLHAQDLoH+k/w5WK1SbXSs80gLgNr0sJpbYRF2j93fWsL6uQ/Bx/fCtNk2BVihdSqM+5VN7fU6H1JGQnk5hFT6d1ZMG4iMtynIbmMhbz9ExtlUYGEWdDkNbpxjgVXnUyG6DUREw8R/WpBVcY/KRxGRk5ACLJHjLdwXVB0eXOVnwJ7vraRDfEfL28pYA+c8YNe27ua/Ni7Rjt3PsuT3Fa9YRfdlz9km0J2G2hTi0GvhzZth9B3QYYD/83tXWTmGj38FZ/wCvp1peVMZa2ykqWJ6sSjXRtki42yKMKYN3DjXRtVCfYFcy06+Y3Kl7xgVpM4SEWkeFGCJNJSMdfDyVBspSl8FZ98DBzZbzlPiKVUDsoIsC4p6TYDti6C8FJ4YY6NQFXld+9bAN09B7wtgybM2ldhxsJ0rzIF3bofBUyFru+VRzX/Qph9Dw/3PCQmzUarz/2wbSnceBe16QYe+J6RLRESaCwVYIg0laRD0udBKHIy5Cz6+D0oL4LJnjhztKiu2VX+f/wmSR0JoqG0AXZQDpYV2TetucNmTlry+7Uto093/+bgk28vw60dg7N2w7iM4uMXu4SptHB2fBGf8j70+/Y7j+/1FRJoxJbmLNJRdy2DXUpj0b1j6jBULdWHQIsHOZ++y3KuCg1ZfqnV3S5qPaQPt+8EPv7BRKq/cro+MhZ7jLTjrOd6m+Soc3GJlJK55G3Z+A0OmWy5VYTaUHDrhX11EpLnTCJZIQ0k9A659G1q0sSCpVaqNQuVlWPL54icgb6/lPoWGAw5u+NDqSnU/B9r2gjN/Ac7Z/QpzYP966HAKpH8LKaf6n9X9LOiUBlFxkDwUwqLtnh2HVJ0iFBGRoFCAJdJQQkIsqAIYNNUCnc6j/AHPwKssz6q8FG7+3FYNRrSApMH+KcSK4Apg1xIrADrkWlj1Osz4uGqifJRvRCsy3v+egisRkeNCU4QijUFFoFNxLC+HlW/YtGDiQFs1WHGuulIPnUfZ1ODix2D8b6oGVyIickJpBEukMQoJsZysUy63lX2F2ccebdr+NWxZAGffB3PuhZRRtm+hiIiccAqwRBoLz7MgqeNg2LMC2vaGFrXYWidlFFz/HrTrA73OaxzBVUGWJfJ3HgnbvoIup1thUhGRZk5ThCInwv4NNu2XuQlKiwJfk7UVXpsBH/zStrLZs7x2z4iItmKjIaGQOODY158I+zfA7Gvg9ZvgzR9B1paGbpGIyAmhAEuktrZ8ARvmWpmFla/byNPRZG2H5ybC4sfhxcth82eBr2vVFcbdD8ufh+5nV10F2FQlngIDp8K6D2Dkj2xU7nA7l8Ce72DvGtj29Ylvo4jIcaAAS05OnmfFNjM3w6ZPbcuamspNt1GZFy+zEZrqRqQqJHSGc34DH90FrbtaMnogB7bC3F/B+N/ZXoO1CTbKSm1rG/AfG4M939pG0Zc8AQv/DRlrq54vL4fNn8Os6TD7Wlj3IZSVNEhTRUSCSQGWnJyKcmD1WzBrim1Xk7mh5p9t08MSzwsOWB2pY+3Dl7UdPv8zDLgMtn8FOxYHvq51Klz3Poy61epjpZ5R8zat/8g2cf52Frw8rWGDrNJi/7HzSJjxEQy6Cm6aDyHhFlTt3wAlhZbM3+s8OLQPDmyA/pNVOkJEmgUFWHJyimpp+/DtXwdRray2VE3tWgojb7UK7BvnQfExKqG3TIGLHoaL/gHTX4ekgdVf276PBR3t+0B4ZM3b1GmYVXx/6xbbvDk+qeafDaa8DPj4XqsW/9nvYcuX1r9lpRZQPTcRFj1mo39bPrdga/VbtmH1abfDty9pBEtEmgWtIpSTU0E2LH0WLvq7b1RpYc1W3W390hLV+02GZc/bvn2lBbanX2E2hLeAsIiqn3EOuo2x16mjg/xFfNK/t2AxaYhtCt31TIjrcHyedTQRMRCVAE+Nh7Z9rUr96regXU+b9jz/r/Dq1dDjHOgyyoLJET+E0DAbFSzOsxGsvausBtjBLRDXEaJbnvjvIiJSDwqw5OQU3RIm/QtatLORrIhY/7m9qyG+I+RnWMAQ39F/Li7JkrIXPQqn/9z2+3v3Z9D7AgvUupwGg6ac+O/TuhtcNdNWEe5ZDjFtg/+MkiIbVSsrARdiqxUPV17iC5IibAo1cRB88VcozIIpL8Hc+23/xPUfwsb5kDwCWlbq38hYyN0Ls6+DfhfDyjfhnF/b1KGISBOiAEtOXrG+EZ6YNv73inJh3v02apK+0nKHTv2h/3xhFuTssinGg5sBD065AmZfDbGJcNptdl1eBsS2g7x9ENs+OO3NTbc9BAFKCiA+0X+ubQ/7geMzPVhSCP992KrK5+yywHPI1UdeV15uQeeMT2y1ZcYaC7oSOtvvFz4M382yYqjfvWwbTQ+eVvUecR3g3ActPy5pMHQdE/zvIyJynCnAEqksMs5Gpp45D1q0hT4XVj0fGgGj77AtadZ9YLlFG+ZAy86Qv8+KaZaVwKs32HY1n/4eLvgLdK5nyYXyMvj63xZYuRCbThv/W5taq6+M9ZYnlrvLpvSiAxQ3DY+yAqavTLfp0KvfCHyvFq1gzF029dehv5WymPqy9WX2dt9UqQfPT7J9GLv/A7J3w5p3rK/XfQCpZ8Inv7U9Fde9D1u/gH6T6v89RUROoHr96eycexCYBJQD+4DrPc/b7Tt3NzADKANu9zxvTj3bKlI32bssKAmPssrirbtWf21Rro3U9L8U9q2xv/BH3Ow/nzjAX8TztNtsxCblVPDKoHUPG7HpfJoFBLOusg2b2/Wp/3cICYWBV8J/zgKvHH7wWXCCq0MHbPVhtzFWruLUm48cUQILGvMzICzKnn/owFHaGuI/pqT53+/QDw4dhE9+ZzWxNn9uiwRSToXvX4Mv/mSjgKljYOI/oV1vGH4jxHeq//cUETnB6vsn9F88z7sPwDl3O3A/cItzrh8wBegPdATmOed6eZ5XVs/nidSO51nhzr2rbXSmvNSmqQ5PRK8QGQdn3Wd5QXkZVXOzAgkJgf6XWKDw6e/s3s6zxO4OA6wg6YiNkDysft+jvAxWvw0JXYAQu3/7fvUPslq0hrN/BS9eYoVOu4+r/trQcLjmTZuqdHVcgNyiFVz8T5syHHajPT8k1FZN7voGuo61KdsOvqC045C6PUdEpIHV609nz/NyKv0aA1SUtJ4EvOx5XhGwxTm3ERgBqEyznFjOQf/L4Mt/Wr7PzZ9XH1yB5Rpt/dyCl9x0G7FpleI/X5BtCfIVR7CSBDuXWnD16e/g2vdg7F2WO7R1gSXJe561peJYWyGh0HOCrV50DorzgzeCteCv0O8Sm97c/JnlnR0uNBzSbqz7c/L3W+J9foaNZAG062XHvastV+3GOfDfv0PObstfExFpwpx3rG0+jnUD5x4CrgWygbM8z8twzj0CLPQ870XfNU8BH3qe91qAz98M3AzQuXPnYdu2batXe0Sq8DwLIL5/3XKL2vWG8/9cfZBVXm61mN673YpiTnkJevhGdXYshvm/s9IMn/7BRmLa9bY8rKztVuYhcxO06V71nlu+sDynTsNgy2cw4gfHHhk7kbYvsuKpWdsgph0kpBz7M7VxYAu8er0FnV89AmPu9JetqFCUZysIK44iIk2Ac26p53lpgc4d85/Azrl5QGKAU/d6nve253n3Avf6cq5+AvwaCPRP9ICRnOd5TwBPAKSlpdUv2hM5nHPQ+0Loc5GtwCs4cPQRrECfr9Cqq60efH4SnHYHtEy290PD/DW0Dg+uAFwofPKATU+edjuNrr5vRQJ+5dWUwdQyBQZcbqsCu4+z6cDDVQRVCq5EpJk4ZoDled45NbzXS8D7WIC1E6j8z+BkYHetWycSDBVTUgCkHv3asmIoyIRpr0LunqrJ3Dm7rAZWfIpNp+WmBw6oKqbD8jLsGNECQqOgKMNG0ZriVjAF2bDyNSsQuuVzq18VKFAKJHsHrH3Pkv13LLL9H2MboAiqiMgJVN9VhD09z6vYxO1ioGIn13eAl5xzD2NJ7j2BajZgE2lEwqNg1E8s56m8vOoIVnQrSwjvfjZsnBu4nEHWTpsOG30HLHsWTr3FVhiO+IFVcV/zvuVPRSecoC9Uje1f24q9wmwr+VCxMrI6JfmwYR58/idbUTjtlZo9p7QYNs231ZSx7SEvvWEqzIuInGD1zZL9o3OuN1amYRtwC4Dneaucc7OB1UApcKtWEEqTUVGhPOSwqbxWXewHYOi1gT8b3xEGT7HCoymn2krC+CTodhaERdrIT22mKD0PNn4CSYNg32pbRdg6tdZfqYqSAlj2AuxfDznpMOpHxw6wottApyGw/gNIGQlxAbIGivNthC9lpG09lHKqBazRreD1GRbITZllVedFRJq5+q4ivOwo5x4CHqrP/UWanNx0WPMetO0N6SssiIlPsuAKahdcgY34fPFnCI20MgaXP1t9gJW7F/auhOThsH0hdBsb+HlhUTD0Onj6XIiMh14Tqn/+ps8gKh6KfAuGr30XljwFB7dZqYXKMtZZnlXfi61A6A0fQPsB/uKoAKWFtfv+IiJNlCq5S/OxfSG06wsHNkJ8cvVTUeXlVjm8fV/bTDimna3wq5C9y+pa9TzXqrT3Or/qvUqLbcVdmx6QuRHa9vSfa9HGRrc6j4JdS+pfJDMuyaYZX7sBOg6FTkOrvzZzA7w8Dbqcbt9r+muBN7Be+z6seBmG32TfY/W7cMbPjryurBR2LYWFjwLlMOo2m+bsOMiS/Q+XeAoM/wF89Q8Yew+0729FSUsLYNpsC9JKCupeqkJEpAlpZMuZROooNx3e+x/46C544VJLpq5OcR5sWWDXzb7OSizk7rFEbrD9Br/6Jzw5DhY/aXlKlW35Ap6/BBb/B545Hw5s9Z8Lj4QBl9qoVd+J/v0B6/O9Pv+z1dgKCbWSCtVJHAi9zoNN82DkLdVXrI+IseBpywIYNBWGXBP4utAw6HomFB6w4KjrmdaGQMEVwJ7vYNlzVoV94b9tL8fQMCso2mOcFWQ95XIFVyJyUlCAJc1DXKIloH/3kpVTSD2j+muj4q0OU85Oq9xemAPv32mjOmCjRp3SbNVg8vAjV7x1HgkdB8KH/w/OeaD+OVFHE5dooz9pN8Llz0Cvc+39kkKbfiwvt6k5gN3LLaiZ/BgseBgObAp8z7IS2DzfAsviQ1ZdPeB1pbb6b8xdtj/j+g+tonx1ktPgB5/AsOvgpvk20gVVc9kUXInISUIBljQPuXth7n0w5pe+EaovAl+XvhL2roGVr8NFf7NpwIy1sGuxVUoH34jWbrjuPZt2y9lZ9R47v7HE8wFXwGd/rDqCdTRZO2D3d5CfacngNdWqswUmCSn+XK5t/4XnJtn03bMXWBtSz4Dpr9o10161vRT3rj7yfsV5MPER+/7lJTYqtuqtI68LDYPTf2q1u0bfYVOEFQsAqtPGN2JX35E7EZEmTjlY0jzEdYCrXrQVagMus1Gow5WXW2C12bcVzoGt0LIz7FluozWbP4XWN0DHwXDli7YVTuJA/5Y4FRIHwtVv2HW7lh6Z7F2dLV/Ap7+HlBGQvw8mPWpTifn77VgbKaPs+R/fA5Mf9Y+iRcbCyjdg7yrI22OV6KvUAcOmMMvL4dsXYc494MKsynpZyZE1ugKVohARkWPSCJY0H+372uhNu942DXi4kBCrx7T3e1jxEgy8ErqeblvnTHvFygpUqAiqDg+uwCqep462XKauZx5ZzqE6PcbZarpVb8Dg6bZv4aLH4IP/Z1vE1MaORRYQDp4O8x/yj6LFtLNRuYOboVWq5ZVlbYclz9hUaOW+aNvLktBL8iwI88ptZK683JL8iwtq3p6yUhsdLC+zAC8/AzbOr/nonohIM6MRLDl5VOwz2PsCG6lZ9hxM+INNhVXUtzqeNs6DFq2h38UW8MQlwse/gmve9m8Rk5tu71ccq5M0yEbRkgbD7mX+9ufthZWvwpUv2HdN/x7m3G2jbj3P9Qeenmd7K559H0TEwbavbXXkq9dB2g3WvikzrXJ7TexaCi9eAhP+BIv+FxY/Dru/9Y0qptaxw0REmq56b/YcTGlpad6SJbXITRGprCjPSiOkjLRK5Z1HWc5QaLh/+uvgdhvlCgmx66tbaXc85GdCwUGbDlz3Ebz3M9unr9NgOO+PtiH0m7fA+N/AnHvhquet9EFdnhPTxiqvb/0SCg9agDV4mhX+rFBSaLldIWGwaxm8dYsFYQv/10pDTPhDzUfnysvg43th6XOWFD/vfkg+1YK02Ha1/w4iIk1AvTZ7FmkyMtbBrKnQ50JY/zFMm2XTVUOvg29nWkmCjoP918ec4L/4Y9r4N1Ru2xOmvgxx7a1oZ2ScTW12PRNengqjfwpteh71dkd9TmGufeeMtZCz23Kp8vZZwnyFysFWynAYcye8e4fVslr6LPQYDz1rOIK1c4mNep37O1j0KFzwV/h+thVH7X1B3b6HiEgTpgBLmo/EU6ycwdePwFn3WoBSnA9PjLGyCyN+2NAt9Esa6H9dsfIucyOsfssKiq583fLFDk9Qr6moOJvqe24itGhr92p1lGT8nUvhsz/B+N/Cl/+Ey56E1NNr/rykQXDdu1awtUN/y2frfYHtPygichJSgCXNR/p3Nmpz8SOW29RtLJQW2RRYaRGUlzZ0C4+uZbKVTuh6Jmz+rH5V4AtzrYTD2fdbHtbWBdC+T/XXdxxio0+pZ9i0ZeKgqiNcxxIeZasjAbqcZseW9axiLyLShCkHS5qXzE3QprsdQyNgydM2erPyNeg3+dibGp8IuXsssby8xFbfHa8cpexdENMWCrIgPDrwysra2L0cMjfb6NuOxVYOozZBmIhIM6McLDl5tOle9Xj2fZaoPfaemidsH0+lxfDFXyG8hU1ftmgDY+8+Pm2rGEGqbk/G2jp0AN651TaI7jnBpgDDo6w8w5bPbZueNe/BkKv9uWYiIiepRvA3jshxVBG4NIbgCiAswmpXff0vK/TZb3LjaduxtOwMsYlWCiJluH9PwvIS+PpReGKslYwoL2nQZoqINAZN5E92kSYkN92OOXuOPFdaDKvehDa9IKY9rP/I6nM1BfvXWX7Y9Ddgw1yrQA8QlQDxibYhdEIXWxEpInKSU4AlUlf5GXbMy/C/t38jPHsRrHkXZk2BLQvs/eJDtjegC4HuZ8OVz1mNqG5jms4IVp8LYeSPYd37VkZiwV+smGhuulWFnzEXsnfCocyGbqmISINrIn+yizQym+bDqzdaztHMK6yWFdj2NEOuhleutj0KO/iS6rcugOcnw5d/hzdvhvAYK22QHDA3MrCSQivoWV5ur+tqzwpbpZi5yUbQarrQxTmrHVZaCE+dY0nvkfHQZRRc+FdbRTj53zXfm1FEpBlTkrtIXbTvbwHHK9OtCnvLZHs/azuseBWShlgQtn8ddB4JXUZbna75D8KlTx69JlUg5eWw+AmbfgsJtzyo0XfYNj+1tX89vHObBUIdh9jG0YH2XAzYjlIoKbCq+JVLX4S38B2ja98eEZFmSCNYInWRucG25WnXx6YDc3bb+3EdYOydcM3rcMnjlhgOtnXP9q+sEOq8B/wjXvkZsHe1bduzZ0X1zwsJsfIIH/wC3r3NKtLXJbgCK2Qa1dKqvPebXPPgCiyBvVUXuPkL6DUByorq1gYRkWZOI1gidRHXESY/ZtNi276yaukAETHQb5K97nuR//pOaXDtO9C+n6+qum9z5k2fwqd/sC1pti+Ca94MXOKgvNzym0LCbOQsa5tNF4aE1r7t2760gqKdR8HSZ+xY0yCrZbIVL21MpS9ERBohFRoVaUj5GfD0BZC5Hq5+A3qMq/7aVW/5pgjD4NB+6H+pBVu1VVIIxXm2P2H+/uDVyRIROcmo0KjIiZa50Vetvcym0Vp3DXzdpk/tfNqN8MmDkDS4+iKdfS+Gwixo0RryM+sWXIEVB62owK7gSkTkuFCAJRIMRXkQGWvV2UMjYOFjkL/P6l616w3jfh14Oq3rGJjSzxLOD2w+egX0DR/bXosDr4RFj8Nl/4G4pOP3nUREpM6UQCFSX3l74d3bYdNnMOdXVgJh2PWW/L7pExg0tfpcpbgOtj9iVLwlrlcnZzd06GdJ87OvtSArNjH430VERIJCAZZIfUW3tiT2FyZZvauELrDseehyupVBWPEK7FpuKwn3rrbyDbWxYzE8OxF2LrFRrHEPwNav/YVORUSk0dEUoUh9FeVZlfboVpCXDnn7YOi1NipVVmo5Vlu/tBpYUQlWET1lFETUsGZUxcrDpc/A4GlWIiJ5qH8vQBERaXQUYInUV1gEJJ0Cp90GOxZZqYbEAVWv8TzwyiBrK/S5oObBFVhh0GXP2rTgJw9AXCd7Vlik/5oDm606PL4q79Ul1YuIyAmhAEukviJiYMTN9rpdr8DXbPoEBk6FhGT4bhZ0GlbzqucJneHCv8G6DyC2AxRkQuZmS54HGyVb9ATk7rZVi3GJMOZu2PK57XvYopX/XuXllg9WcRQRkeNCAZbIiTDsegtqwqOhMNsfXJUW2whYxTGQmLbQ42woyoZRP4aMdRDX3n8+NAyGXgOPn2m/j/4pPD/RtrLp0M8fYJUUwuL/QKehcGCLlXvoc8Hx+sYiIic1BVgi1amolF7XiumVRcb5X8e2s+Pe1ba/YNqN8M1TMOpHtvVOIKHhNkUI/pGrCmWlsPwlSB5u05D5GVCUY4VIE7r4rwsJtWDshcn2espL9ftOIiJSLc0RiASy9gNLKt/2Ffz3YSjKD/4zohIgZw88cSYcyrTf6yI0DAZPhcmPwlm/stGxC/8GG+ZablYFF2KbMpeX2uvQyOrvKSIi9aIRLDk5FebA+jnQbSxs/S8kp0FCiv98VDy8cROUFcP4B6ufvquPsiIbaQqNhKJce1ZdVSTVt+5qqw5j20GnIRDTzn9NaSHk7IKrX4f9G6wQ6vFUVmI1wVJOtY2x2/ez/DARkZOARrDk5HRoP3z9b3juInjvp5CbftgFDggBr9w3PVjLbWly98Dnf7ZAZsHDNh14uPIySD0dbllgm0aXl9btuxyuYgqycnCVvRuWPAODpsG+tdDjHOh/SXCeB5C+0oKpA1tg/Ue2ajJ7FyyfCW//GOb91spLiIicJDSCJSen+E6W4P3pQ9BnIrTuVvV8YRaMu89GXbZ9CWWFEBpb8/t7HqR/D1/+HeKTode5R17TtgecdY/tKVhxPF7KimDt+/DFX6w93c8K7v33b4C3fwQJXS2xPmWk1QUrK4b4JCAEDm6H1OA+VkSksdIIlpycsrbbVjbTZlth0Ix1Vc/3uRDSZkDXM+CMX0BELYIrsJpUsR1sb8LoVlU/X14GB7f62rHNjsEOrg5ssVWLB7ba6sGoBGjTzQLH1l2tTbVVnAdf/Qv2rPDnp1XoOBii20LGahhwGUQnQMFBCyK/eRK2f1V1RE1EpJlTgCXNn+dVPQK07QnXvAm9JsDUlyD1tCM/FxpW9VgbBQetwvsP5lttrPz9/nNbPocXLoXlL8LT51lNq2DKSYeZl8Pix23fwg1zIX8vFGTDjLk25Zm7t/b3zdoF5SUw99ew8k2bPq2wYxGkDIeL/g5LnoKCLCsPUZgNcR0tx6zkULC+oYhIo+e8yn/pNLC0tDRvyZIlDd0MaU52LYMtC2yKbs27NioV0+b4Pa+k0HKQOo+0vQPb94H4FAivtGKvMAfe+jGsfRcu+puVaaisKNfanXIq7Fho2+qE13LF36o34dXrbY/E6bOhRRsoPgQRLfzH2n6vd2+z1YcHt0L7/taXif1954ugOAcy1lvh1fIycKFwcDN06G8jajHtIHlY7Z4rItKIOeeWep6XFuicRrCkmXOw6DH4z9mQvfP45jkBFBywZPIXLrFViNm7jgyOdi+HjXOh5wT46pGqpRTAktBnXQXv3Aazr4MDG2vXhpw98OU/oNd5sG+1bRYN/qCqtsEVQHgUDLsRvnvZEto7DYOcHZXOR0JEHKx+G978IcyaYtOCAy61ul29z1NwJSInFSW5S/OxfwOsfgf6T4aVb8CgqRZMRCXYNjIt2lbdv+9oNs6DkDDLpcpNh34Ta/a52EToNwne/5klegfaOqddH5j6sgUpOxZBy5Sq55MGwdDrLDAc92to17dmz64QlwjjHoCkgRZgtQrCvoQlhfDtTPtO+Rn2M2R61WvCoyz/avHjlnPW4+z6P1dEpIlSgCXNh1cOa96xwqDJw2HQVVaOodsYmPQvWPaCTc9FxNj1hTkWNLRMsQTuyDirfN6hP+Tshg9/CaERcPrPjr6VTWW5u2H5C3Dl8zaSlb4S4pKqXhPXwX4Aeo4/8h67l8OKV2DiP2Hu/dDz3CM3jz4a56D7WHudenrNP3c04VEW9EXGWx5WWYCSEiWFsPQ5GHOX9d/aD6uvTC8i0swpwJLmIyLO8nz2fGujOOEx0GU0dBpuwVHiwKpBkldmydjr50DOTsjLgAkPWTDTvi/g2aq7pME1LzTaMhmmvQKx7aHzqLqtnEsZATPm2Qq8LqPt2Bi0TIYPfgHDZ8D3r8GhS6oGiOFRVtoiKgFKC47/dKyISCOmHCxpPg7tt4Dm5s9sNOtQpr1fERwdHiSFt7BtZZIG2vRiaLgFNJ4H2xfCmXfaqrjN823j5JqKbe8/Hh5klJdXPQbinD+oaizBFdim011GW37Z7uVH1g4Dq3kVEW0bSdelFISISDOhESxpPpIG2qq88CibXsvaDitft9V4WxZYblTlBO+CLNtjcO8aOPUWyNoBmz6F4TdC2k0W6ISGWy2rmuRuFWT56j9lQVTLI4Orrf+FPd9Bl9Ng/cf2zOiWwfv+x1tBtrU/ph1k77DctDbdG7pVIiKNkgIsaV7Co/zH/Ax453YbeWnT03KxKgdYcR3gzJ/BoSzLyyotrLTSLtp/XVT8sZ+btw/e/gkMvRbWvgd9J1qx0spCI6ySeskhGHVbzetrZe+yPK68vRDd2r8qMWO9JdFnrIc2PSCkngPSZSWQudGmR/et8U2TVhIRZdOXY+605PzaFl8VETmJaIpQmq9WqVav6eBW6H42xLQ/8prwFtCyo40kxXWwRPe6iGlnQdUr063+VaDk7tBw29i5rMQCOVeDACs/E16bAUuftmBx7Tv2fvpKeHIcfPMUPDUedn5Tt3ZXtn2hFT79+t/w9IQjq9tHxFr+VZvuMHgadBxU/2eKiDRTCrCk+cpYZ7lA02bDmvdsA+bDlZXYhsTpK2HVW7D967o969AB2LrA9vnL2enfCqfKNQetqOgNH9r11VU2L8qxY2G2FUUdfRu8/3Orl9V5lJ3r0B/O+Dm8/z8waAp0Glq79uZlWEHUwhxY9wEUF9hUat+JMOceOPs+q19VV4cO+I4Hj55vJiLSTGmKUJqX/Rst0Tp/v+2PN/lRyFgDF//TpgxLDlUNHEqLYP86+PhXdu6KZ+v23MhY6HYWjPklpK8IvHqwx9k2+tOqi20fE51w5DVZO+C9n8Gon8Cy52HYdVZeolMa7FtlFd5bJlt9qwUPw+CrYemzVn8qZUTN23twC7x2o9XiOrgNrn4N8g/C96/CsBtg/u+g65l1C7LyMmy7nLa94cAmSEiFgZfX/j4iIk2YAixpPgpz4L3/sdGcnd/AKZfBKVfC4v9Y/lLmJguAKgcNkbHQ4RSrwB7T7siinzUVFgmDp9rr6hK/96+H5y6Gcx+ET/8IF//jyDpVse0tCf6FSVZeolWqTcu172vtj0v0PaMnTJlpo06Dp0D7fvZ+US5s/hxSz4Rt/7WgK6btkW1p3xf6ToLvXoLTbgfP2WrJq2ZaYDXwSsvrqosWrW1hwJy7ISTcFhf0n2RTpCIiJwkFWNJ8RMXDmF/AcxMtKbznuRZADb8Jnr3A9uM7vLp4YbZtvnzVixaUZayteVHPXcssMb5Fa0tE7zHu6Ne37gGn/QRevwlOuQISA+QwFRyAXcstXyxzg01rVtSaapnsvy4sArqeYa9Tz/C/n70TPrwLElJslOvqNwIHWHu+t0T1Sx6HeQ9ASYEvKL3c7t0lwObXNVWQZYHqoUwoL4XU0QquROSkoxwsaT4Kc2xvv54TAAeb5kNRHnz1LzjjF1bdff2cqp+JagkT/mC5R2PuhP6X1Px56SvgpSnw8nRY95Ftonw0BzbBspk2lbj2fdi38shrwmOg+1lw01wrehpZgxWMlbXuDkOn2z6A/SdXP8WXehpc+w70GG8rGpc8ZQVCw6Jq97xAImMtX2zwNKv+vnGu5bqJiJxENIIlzUdUPJzxPzatlrPHfo+MhfP+aFNvBQdt1eARn/OtHKxt2YHOI63WVeZGuPBvNnKzcZ4V49zyhY08RcZaMBUWCSERNt13yhU2etQ6wFRiVLzV4QL7HhXy9tl3yNsLsR2qb1PmRkvav/J5mPcby9tKOTXwtQnJdn3GWvjBZ7ZSseCAjX7VR1gknPlz+74hIRZ4agRLRE4yzvO8hm7D/0lLS/OWLFnS0M0QqZmFj9pKxTbdIf17GPFDq3LeKtWmxq56waqdfzfLEtddCIz/DQy7seY1sMByr2ZNs21o/vt3OOd+y5OqTs5uiO/oPx5LxT6LNd1vUUREAHDOLfU8Ly3QOY1gidTVkGts4+PwGBu9CouwPKxVb1iZg4TONsKV0MW27ikrglbdahdcgX1+yDSrsdXnQivRcDQVQdXhwVV5GYSE+o8VSgqsdlenoVZtvk1P336ChXa+KVWbFxFpJJSDJVJXkbG2315YBMS1h72rLfdoyixY8YrVwiovt82nz/0dXPxv2LXkyHykkoKqx8Nl77ApzwGX22q/Pd/7zxXnVz1WZ88K+OS31sa598PB7f5z6SvgxUtsI+fZ18Hqt+Drf8Gnv7fcrEY0yi0i0lRoBEuaj5Ii20am4niipZ4G016xUgqdhllleIC0GTZi5EJtVKhyPtKBLTD/IRh5Cyx52mpQpQyvet/olpCzy3Kb8vdZkNZ9rO2v+O1LMORqWPgYnPcHy6sKJLyF5YV9/Qj0u8Q2ua6QPBz6XgzLX7C9HNsPgKfH2/ZBM+YeuaeiiIgck0awpHnIz4SP7oJtX8Fnv4eNn1R/7Z4VVmA0faWtPAymijpVcZUS0cOjLKgKCam6FyJYiYcWrW3bmwNbLZG9Qolvii6sBYy+w4qAZqy1kSyAlp3s92cvgMT+gcsxVHDwf/+7hzjf7z47FtmKy/P+ZKNcGWusOGhopAVlGsESEak1jWBJ07dvDYTHWs7RM+dbDaZTrgh8bfYumDUVBl4Fy1+EiX+HPhec0OZWUXzIV3V+iFWarwj4Nn9uqw/7XwIb5lrl9T4Tbbpw9dtw+h0WVGZtt2nKjHVW0yu8mjILxQVW22rSP60yfPEhiPGd63Ia3PCBlXToPhZy0mHqS/5pR41giYjUmgIsadpKi61Se1kZFOfYtFZRLhTnBb6+ZSc47yEr9tl5lL9YZ0NxITa1GN0SkgbDl3+zkaS4DrDpU1j8OJx1r1Vbj0+yAKwiST48Gs66x+pqbZhTfQ2rdR/a9GTvCZaDNf5BCKs0TRka7q+X1a5P4I2qRUSkVjRFKE1bWAQMux52LrSk82mvWEBSneydsPkLGHuvTYMtn2mjOw0lrgN0Od2CqXdvt5pV0a0skCrItNpc2bus9ENcIrTrZaUfwCrOD58BbbrByB8FXu3neTayNfsamHmFVVfXgJSIyHGnESxp2kqLbbPj1t3h0AHY9JkFWCHV/NuhZTJ0Gwtv3QJRraAwCwZcChHRga8/EfL32fRgxVRfcR6EhFll+a5jrfq8q+O/hZyzchF4tpl1624q+ikicgIowJKmLSwCRtxsW96Ul1gJhOqCqwqJA6FVd9i7wpLHW7Q5MW2tTngMnP9nW3m4dQGERlhNqk5D7Xz7ekzZeZ4l9Z/zG4hOsP0Gu42xFYkiInLcBCXAcs79AvgL0M7zvP2+9+4GZgBlwO2e5805yi1E6q62AUjmBmjbE8b9ChY9bvsQxicdn7bVRPIw+4H6BVOBOAdpN9gIWEiY1dpScCUictzVO8ByzqUA44Htld7rB0wB+gMdgXnOuV6e55XV93ki9dZzvNV+ik7w5TwlNHSLaiZ3r+Vs5e61cg41Xd1XOaA6vEyEiIgcF8FIcv8bcCdQuVjOJOBlz/OKPM/bAmwERgThWSLBURFUNZXg6uA2ePEyWxH46vVWxkFERBqtegVYzrmLgV2e53132KlOwI5Kv+/0vRfoHjc755Y455ZkZGTUpzkizVfLFFsp+N0s6DUBtnymIEtEpBE75hShc24ekBjg1L3APcC5gT4W4L2A5aA9z3sCeAIgLS1NJaNFAsndDevmQGQL+OQBiOsI/S/zn8/PtD0PU06F7V9D6hnVFx0VEZHj7pgBlud55wR63zl3CtAV+M5ZLkgysMw5NwIbsUqpdHkysLverRU5WbVoB4Ougm1f2hY2pcVQVuQ/v389vDLdyjqkfw/XvGk1s0REpEHUeYrQ87zvPc9r73lequd5qVhQNdTzvHTgHWCKcy7SOdcV6AksDkqLRU5G4ZGQOhqi4mHGxzD6digr9p9PGmibOK//EEbdCm16NFxbRUTk+NTB8jxvlXNuNrAaKAVu1QpCkXqKToAxv7TVg4kDq64i3L3camhNfhTm3g89xvm3vxERkRPOeV7jSXtKS0vzlixZ0tDNEGl6PA+yttmWOge32lFERI4r59xSz/PSAp3TXoQizYFz/qBKwZWISINTgCUiIiISZAqwRERERIJMAZaIiIhIkCnAEhEREQkyBVgiIiIiQaYAS0RERCTIFGCJiIiIBJkCLBEREZEgU4AlIiIiEmQKsERERESCTAGWiIiISJApwBIREREJMgVYIiIiIkGmAEtEREQkyBRgiYiIiASZAiwRERGRIFOAJSIiIhJkCrBEREREgkwBloiIiEiQOc/zGroN/8c5lwFsA9oC+xu4OU2J+qt21F81p76qHfVX7ai/akf9VXMnqq+6eJ7XLtCJRhVgVXDOLfE8L62h29FUqL9qR/1Vc+qr2lF/1Y76q3bUXzXXGPpKU4QiIiIiQaYAS0RERCTIGmuA9URDN6CJUX/Vjvqr5tRXtaP+qh31V+2ov2quwfuqUeZgiYiIiDRljXUES0RERKTJalQBlnPuQefcCufct865j51zHSudu9s5t9E5t845N6Eh29lYOOf+4pxb6+uzN51zCZXOqb8qcc5d4Zxb5Zwrd86lHXZOfRWAc+48X59sdM7d1dDtaWycc0875/Y551ZWeq+1c26uc26D79iqIdvYWDjnUpxznzrn1vj+P7zD9776KwDnXJRzbrFz7jtff/3G9776qxrOuVDn3HLn3Hu+3xu8rxpVgAX8xfO8gZ7nDQbeA+4HcM71A6YA/YHzgP91zoU2WCsbj7nAAM/zBgLrgbtB/VWNlcClwBeV31RfBebrg38D5wP9gKm+vhK/Z7H/Ziq7C/jE87yewCe+3wVKgZ97ntcXGAnc6vvvSf0VWBFwtud5g4DBwHnOuZGov47mDmBNpd8bvK8aVYDleV5OpV9jgIoEsUnAy57nFXmetwXYCIw40e1rbDzP+9jzvFLfrwuBZN9r9ddhPM9b43neugCn1FeBjQA2ep632fO8YuBlrK/Ex/O8L4ADh709CXjO9/o5YPKJbFNj5XneHs/zlvle52J/EXZC/RWQZ/J8v4b7fjzUXwE555KBC4EnK73d4H3VqAIsAOfcQ865HcB0fCNY2P+IOypdttP3nvjdCHzoe63+qjn1VWDql7rp4HneHrCgAmjfwO1pdJxzqcAQYBHqr2r5pry+BfYBcz3PU39V7+/AnUB5pfcavK9OeIDlnJvnnFsZ4GcSgOd593qelwLMBH5S8bEAtzoplj8eq79819yLDcHPrHgrwK2afX/VpK8CfSzAe82+r2pA/SJB55yLBV4HfnrYjIUcxvO8Ml+6TDIwwjk3oIGb1Cg55y4C9nmet7Sh23K4sBP9QM/zzqnhpS8B7wO/xv71nFLpXDKwO8hNa5SO1V/OueuAi4Bxnr/mxknZX7X4b6uyk7KvakD9Ujd7nXNJnuftcc4lYaMPAjjnwrHgaqbneW/43lZ/HYPneVnOuc+wfD/115FGAxc75y4AooB459yLNIK+alRThM65npV+vRhY63v9DjDFORfpnOsK9AQWn+j2NTbOufOAXwIXe553qNIp9VfNqa8C+wbo6Zzr6pyLwBYCvNPAbWoK3gGu872+Dni7AdvSaDjnHPAUsMbzvIcrnVJ/BeCca1exKtw5Fw2cg/19qP46jOd5d3uel+x5Xir259R8z/OuphH01QkfwTqGPzrnemPzqNuAWwA8z1vlnJsNrMamwm71PK+s4ZrZaDwCRAJz7c8vFnqed4v660jOuUuAfwHtgPedc996njdBfRWY53mlzrmfAHOAUOBpz/NWNXCzGhXn3CxgLNDWObcTG23/IzDbOTcD2A5c0XAtbFRGA9cA3/vyigDuQf1VnSTgOd9q3hBgtud57znnvkb9VVMN/t+WKrmLiIiIBFmjmiIUERERaQ4UYImIiIgEmQIsERERkSBTgCUiIiISZAqwRERERIJMAZaIiIhIkCnAEhEREQkyBVgiIiIiQfb/Ac/wGfr8+PMAAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 720x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#setup steps:\n",
    "n_clusters=2\n",
    "cls =[('imputer', SimpleImputer(strategy='median')),\n",
    "      ('scaler', StandardScaler()),\n",
    "      ('cluster',cluster.AgglomerativeClustering(n_clusters=n_clusters))]\n",
    "#setup param_grid\n",
    "param_grid = [ \n",
    "    { 'imputer': [None],\n",
    "     'scaler': [None],\n",
    "     'cluster':[cluster.KMeans(n_clusters=n_clusters),\n",
    "                GaussianMixture(n_components=n_clusters)]}\n",
    "    ]\n",
    "#setup scoring:\n",
    "scoring = ['da', 'si', 'ca']\n",
    "clustersearch=mlcluster.ClusterScorePlot(steps=cls,param_grid=param_grid,scoring=scoring)\n",
    "clustersearch.plot(data,ncol=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 模型调参"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 参数定义\n",
    "imputer、scaler、cluster三个阶段的任务以列表的方式在cls中定义，其参数在param_grid中以字典的形式定义，聚类评价在scoring中定义。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#setup steps:\n",
    "n_clusters=3\n",
    "cls =[('imputer', SimpleImputer(strategy='median')),\n",
    "      ('scaler', StandardScaler()),\n",
    "      ('cluster',cluster.AgglomerativeClustering(n_clusters=n_clusters))]\n",
    "#setup param_grid\n",
    "lr = LinearRegression() \n",
    "imp = IterativeImputer(estimator=lr,missing_values=np.nan, max_iter=10, verbose=2, imputation_order='roman',random_state=0) \n",
    "imp1 = IterativeImputer(random_state=0)\n",
    "knn = KNNImputer(n_neighbors=2, add_indicator=True)\n",
    "\n",
    "param_grid = [ \n",
    "    { 'imputer': [SimpleImputer(strategy='median'),imp,imp1,knn, None],\n",
    "     'scaler': [MinMaxScaler(),StandardScaler(),RobustScaler(),PowerTransformer(),None],\n",
    "     'cluster':[cluster.AgglomerativeClustering(n_clusters=n_clusters),\n",
    "                 cluster.DBSCAN(eps=0.30, min_samples=10),\n",
    "                cluster.KMeans(n_clusters=n_clusters),\n",
    "                GaussianMixture(n_components=n_clusters)]},\n",
    "    \n",
    "    { 'imputer': [SimpleImputer(strategy='median'),imp,imp1,knn, None],\n",
    "     'scaler': [QuantileTransformer(n_quantiles=100,random_state=0)],\n",
    "     'cluster':[cluster.AgglomerativeClustering(n_clusters=n_clusters),\n",
    "                 cluster.DBSCAN(eps=0.30, min_samples=10),\n",
    "                cluster.KMeans(n_clusters=n_clusters),\n",
    "                GaussianMixture(n_components=n_clusters)],\n",
    "    'scaler__output_distribution':['uniform', 'normal']}]\n",
    "#setup scoring:\n",
    "scoring = ['da', 'si', 'ca']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 参数网格搜索\n",
    "通过参数网格搜索得到最佳参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
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      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.02\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n",
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>param</th>\n",
       "      <th>da</th>\n",
       "      <th>si</th>\n",
       "      <th>ca</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{'cluster': AgglomerativeClustering(n_clusters=3), 'imputer': KNNImputer(add_indicator=True, n_neighbors=2), 'scaler': None}</td>\n",
       "      <td>0.266248</td>\n",
       "      <td>0.813408</td>\n",
       "      <td>5384.130887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>{'cluster': AgglomerativeClustering(n_clusters=3), 'imputer': None, 'scaler': None}</td>\n",
       "      <td>0.263954</td>\n",
       "      <td>0.814534</td>\n",
       "      <td>5035.913689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>{'cluster': KMeans(n_clusters=3), 'imputer': IterativeImputer(estimator=LinearRegression(), imputation_order='roman',\n",
       "                 random_state=0, verbose=2), 'scaler': None}</td>\n",
       "      <td>0.270683</td>\n",
       "      <td>0.809068</td>\n",
       "      <td>5133.544989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>{'cluster': KMeans(n_clusters=3), 'imputer': IterativeImputer(random_state=0), 'scaler': None}</td>\n",
       "      <td>0.270805</td>\n",
       "      <td>0.808884</td>\n",
       "      <td>5123.920033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>{'cluster': KMeans(n_clusters=3), 'imputer': KNNImputer(add_indicator=True, n_neighbors=2), 'scaler': None}</td>\n",
       "      <td>0.266248</td>\n",
       "      <td>0.813408</td>\n",
       "      <td>5384.130887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>{'cluster': KMeans(n_clusters=3), 'imputer': None, 'scaler': None}</td>\n",
       "      <td>0.263954</td>\n",
       "      <td>0.814534</td>\n",
       "      <td>5035.913689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>{'cluster': GaussianMixture(n_components=3), 'imputer': KNNImputer(add_indicator=True, n_neighbors=2), 'scaler': None}</td>\n",
       "      <td>0.266248</td>\n",
       "      <td>0.813408</td>\n",
       "      <td>5384.130887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>{'cluster': GaussianMixture(n_components=3), 'imputer': None, 'scaler': None}</td>\n",
       "      <td>0.263954</td>\n",
       "      <td>0.814534</td>\n",
       "      <td>5035.913689</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                                                                                param  \\\n",
       "0                                                        {'cluster': AgglomerativeClustering(n_clusters=3), 'imputer': KNNImputer(add_indicator=True, n_neighbors=2), 'scaler': None}   \n",
       "1                                                                                                 {'cluster': AgglomerativeClustering(n_clusters=3), 'imputer': None, 'scaler': None}   \n",
       "2  {'cluster': KMeans(n_clusters=3), 'imputer': IterativeImputer(estimator=LinearRegression(), imputation_order='roman',\n",
       "                 random_state=0, verbose=2), 'scaler': None}   \n",
       "3                                                                                      {'cluster': KMeans(n_clusters=3), 'imputer': IterativeImputer(random_state=0), 'scaler': None}   \n",
       "4                                                                         {'cluster': KMeans(n_clusters=3), 'imputer': KNNImputer(add_indicator=True, n_neighbors=2), 'scaler': None}   \n",
       "5                                                                                                                  {'cluster': KMeans(n_clusters=3), 'imputer': None, 'scaler': None}   \n",
       "6                                                              {'cluster': GaussianMixture(n_components=3), 'imputer': KNNImputer(add_indicator=True, n_neighbors=2), 'scaler': None}   \n",
       "7                                                                                                       {'cluster': GaussianMixture(n_components=3), 'imputer': None, 'scaler': None}   \n",
       "\n",
       "         da        si           ca  \n",
       "0  0.266248  0.813408  5384.130887  \n",
       "1  0.263954  0.814534  5035.913689  \n",
       "2  0.270683  0.809068  5133.544989  \n",
       "3  0.270805  0.808884  5123.920033  \n",
       "4  0.266248  0.813408  5384.130887  \n",
       "5  0.263954  0.814534  5035.913689  \n",
       "6  0.266248  0.813408  5384.130887  \n",
       "7  0.263954  0.814534  5035.913689  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clustersearch=mlcluster.ClusterScorePlot(steps=cls,param_grid=param_grid,scoring=scoring)\n",
    "df_score=clustersearch.get_score(data)\n",
    "\n",
    "df_best_score=clustersearch.get_best_score(df_score,n_best_score=5)\n",
    "pd.set_option('display.max_rows',200)\n",
    "pd.set_option('display.max_colwidth',200)\n",
    "df_best_score.reset_index(drop=True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 根据最佳参数绘图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[IterativeImputer] Completing matrix with shape (530, 3)\n",
      "[IterativeImputer] Ending imputation round 1/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 7.620284332034443, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 2/10, elapsed time 0.00\n",
      "[IterativeImputer] Change: 0.11316669398578494, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Ending imputation round 3/10, elapsed time 0.01\n",
      "[IterativeImputer] Change: 0.00012243243720222452, scaled tolerance: 0.011335356993707154 \n",
      "[IterativeImputer] Early stopping criterion reached.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x5760 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#setup param_grid\n",
    "param_grid=list(df_best_score['param'])\n",
    "\n",
    "clustersearch=mlcluster.ClusterScorePlot(steps=cls,param_grid=param_grid,scoring=scoring)\n",
    "clustersearch.plot(data,param_type='',ncol=1)"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "d17d475f982ddc076ab457622aee493299864fb1f274419e1218d27dc14ec946"
  },
  "kernelspec": {
   "display_name": "Python 3.7.10 64-bit ('base': conda)",
   "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": "3.7.10"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "218.991px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}