plasma_serum_raw_final.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "OktzdLyrDm34"
   },
   "source": [
    "[Download DATASETS from here](https://drive.google.com/drive/folders/1cBv9fiBQE2PedVPvTu56tOMIOtJTjTj1?usp=sharing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "_2KKqfz-5Ioi"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "pd.options.display.precision\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 294
    },
    "id": "mbm_F-i_bhGw",
    "outputId": "b85d04af-5016-462f-b31f-9724615b3765"
   },
   "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>1_5-anhydroglucitol</th>\n",
       "      <th>1-monostearin</th>\n",
       "      <th>2_3-dihydroxybutanoic acid NIST</th>\n",
       "      <th>2_4-diaminobutyric acid</th>\n",
       "      <th>2-deoxyerythritol</th>\n",
       "      <th>2-deoxytetronic acid</th>\n",
       "      <th>2-hydroxybutanoic acid</th>\n",
       "      <th>2-hydroxyglutaric acid</th>\n",
       "      <th>2-hydroxyhippuric acid</th>\n",
       "      <th>2-hydroxyvaleric acid</th>\n",
       "      <th>...</th>\n",
       "      <th>tryptophan</th>\n",
       "      <th>tyrosine</th>\n",
       "      <th>UDP-glucuronic acid</th>\n",
       "      <th>urea</th>\n",
       "      <th>uric acid</th>\n",
       "      <th>uridine</th>\n",
       "      <th>valine</th>\n",
       "      <th>xylitol</th>\n",
       "      <th>xylose</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9582</td>\n",
       "      <td>279</td>\n",
       "      <td>82</td>\n",
       "      <td>61</td>\n",
       "      <td>357</td>\n",
       "      <td>122</td>\n",
       "      <td>24944</td>\n",
       "      <td>56</td>\n",
       "      <td>32</td>\n",
       "      <td>966</td>\n",
       "      <td>...</td>\n",
       "      <td>34239</td>\n",
       "      <td>54924</td>\n",
       "      <td>43</td>\n",
       "      <td>226295</td>\n",
       "      <td>11606</td>\n",
       "      <td>68</td>\n",
       "      <td>153849</td>\n",
       "      <td>194</td>\n",
       "      <td>811</td>\n",
       "      <td>disease</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28847</td>\n",
       "      <td>161</td>\n",
       "      <td>78</td>\n",
       "      <td>84</td>\n",
       "      <td>205</td>\n",
       "      <td>258</td>\n",
       "      <td>10680</td>\n",
       "      <td>104</td>\n",
       "      <td>49</td>\n",
       "      <td>1076</td>\n",
       "      <td>...</td>\n",
       "      <td>20080</td>\n",
       "      <td>37597</td>\n",
       "      <td>203</td>\n",
       "      <td>96226</td>\n",
       "      <td>10188</td>\n",
       "      <td>71</td>\n",
       "      <td>110735</td>\n",
       "      <td>294</td>\n",
       "      <td>910</td>\n",
       "      <td>disease</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13627</td>\n",
       "      <td>162</td>\n",
       "      <td>53</td>\n",
       "      <td>133</td>\n",
       "      <td>139</td>\n",
       "      <td>159</td>\n",
       "      <td>27201</td>\n",
       "      <td>160</td>\n",
       "      <td>80</td>\n",
       "      <td>1117</td>\n",
       "      <td>...</td>\n",
       "      <td>29191</td>\n",
       "      <td>28707</td>\n",
       "      <td>211</td>\n",
       "      <td>155596</td>\n",
       "      <td>16617</td>\n",
       "      <td>123</td>\n",
       "      <td>95509</td>\n",
       "      <td>253</td>\n",
       "      <td>804</td>\n",
       "      <td>disease</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20758</td>\n",
       "      <td>6671</td>\n",
       "      <td>93</td>\n",
       "      <td>78</td>\n",
       "      <td>335</td>\n",
       "      <td>225</td>\n",
       "      <td>32347</td>\n",
       "      <td>242</td>\n",
       "      <td>59</td>\n",
       "      <td>304</td>\n",
       "      <td>...</td>\n",
       "      <td>16637</td>\n",
       "      <td>27873</td>\n",
       "      <td>71</td>\n",
       "      <td>191671</td>\n",
       "      <td>15214</td>\n",
       "      <td>84</td>\n",
       "      <td>96219</td>\n",
       "      <td>157</td>\n",
       "      <td>806</td>\n",
       "      <td>disease</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15692</td>\n",
       "      <td>108</td>\n",
       "      <td>98</td>\n",
       "      <td>69</td>\n",
       "      <td>250</td>\n",
       "      <td>120</td>\n",
       "      <td>18357</td>\n",
       "      <td>60</td>\n",
       "      <td>25</td>\n",
       "      <td>1220</td>\n",
       "      <td>...</td>\n",
       "      <td>29820</td>\n",
       "      <td>30132</td>\n",
       "      <td>200</td>\n",
       "      <td>333019</td>\n",
       "      <td>20281</td>\n",
       "      <td>62</td>\n",
       "      <td>159853</td>\n",
       "      <td>188</td>\n",
       "      <td>1226</td>\n",
       "      <td>disease</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 159 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   1_5-anhydroglucitol  1-monostearin  2_3-dihydroxybutanoic acid NIST  \\\n",
       "0                 9582            279                               82   \n",
       "1                28847            161                               78   \n",
       "2                13627            162                               53   \n",
       "3                20758           6671                               93   \n",
       "4                15692            108                               98   \n",
       "\n",
       "   2_4-diaminobutyric acid  2-deoxyerythritol  2-deoxytetronic acid  \\\n",
       "0                       61                357                   122   \n",
       "1                       84                205                   258   \n",
       "2                      133                139                   159   \n",
       "3                       78                335                   225   \n",
       "4                       69                250                   120   \n",
       "\n",
       "   2-hydroxybutanoic acid  2-hydroxyglutaric acid  2-hydroxyhippuric acid  \\\n",
       "0                   24944                      56                      32   \n",
       "1                   10680                     104                      49   \n",
       "2                   27201                     160                      80   \n",
       "3                   32347                     242                      59   \n",
       "4                   18357                      60                      25   \n",
       "\n",
       "   2-hydroxyvaleric acid  ...  tryptophan  tyrosine  UDP-glucuronic acid  \\\n",
       "0                    966  ...       34239     54924                   43   \n",
       "1                   1076  ...       20080     37597                  203   \n",
       "2                   1117  ...       29191     28707                  211   \n",
       "3                    304  ...       16637     27873                   71   \n",
       "4                   1220  ...       29820     30132                  200   \n",
       "\n",
       "     urea  uric acid  uridine  valine  xylitol  xylose    Class  \n",
       "0  226295      11606       68  153849      194     811  disease  \n",
       "1   96226      10188       71  110735      294     910  disease  \n",
       "2  155596      16617      123   95509      253     804  disease  \n",
       "3  191671      15214       84   96219      157     806  disease  \n",
       "4  333019      20281       62  159853      188    1226  disease  \n",
       "\n",
       "[5 rows x 159 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plasma0 = pd.read_csv('dataset\\plasma_processed.csv')\n",
    "serum0 = pd.read_csv('dataset\\serum_processed.csv')\n",
    "# serum.head()\n",
    "plasma0 = plasma0.drop('Unnamed: 0', axis=1)\n",
    "serum0 = serum0.drop('Unnamed: 0', axis=1)\n",
    "serum0.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = np.reshape(plasma0.Class.to_numpy(), (82,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Preprocessing"
   ]
  },
  {
   "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>1_5-anhydroglucitol</th>\n",
       "      <th>1-monostearin</th>\n",
       "      <th>2_3-dihydroxybutanoic acid NIST</th>\n",
       "      <th>2_4-diaminobutyric acid</th>\n",
       "      <th>2-deoxyerythritol</th>\n",
       "      <th>2-deoxytetronic acid</th>\n",
       "      <th>2-hydroxybutanoic acid</th>\n",
       "      <th>2-hydroxyglutaric acid</th>\n",
       "      <th>2-hydroxyhippuric acid</th>\n",
       "      <th>2-hydroxyvaleric acid</th>\n",
       "      <th>...</th>\n",
       "      <th>tryptophan</th>\n",
       "      <th>tyrosine</th>\n",
       "      <th>UDP-glucuronic acid</th>\n",
       "      <th>urea</th>\n",
       "      <th>uric acid</th>\n",
       "      <th>uridine</th>\n",
       "      <th>valine</th>\n",
       "      <th>xylitol</th>\n",
       "      <th>xylose</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-1.315982</td>\n",
       "      <td>-0.191139</td>\n",
       "      <td>-0.314134</td>\n",
       "      <td>0.900240</td>\n",
       "      <td>0.209300</td>\n",
       "      <td>-0.666017</td>\n",
       "      <td>0.727863</td>\n",
       "      <td>-0.138580</td>\n",
       "      <td>-0.400194</td>\n",
       "      <td>-0.055432</td>\n",
       "      <td>...</td>\n",
       "      <td>0.523924</td>\n",
       "      <td>1.937765</td>\n",
       "      <td>-0.418593</td>\n",
       "      <td>0.378001</td>\n",
       "      <td>-1.016102</td>\n",
       "      <td>-0.694224</td>\n",
       "      <td>1.877948</td>\n",
       "      <td>-0.534297</td>\n",
       "      <td>0.632746</td>\n",
       "      <td>disease</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.702901</td>\n",
       "      <td>-0.166243</td>\n",
       "      <td>1.106687</td>\n",
       "      <td>-0.833770</td>\n",
       "      <td>-0.534704</td>\n",
       "      <td>-0.188475</td>\n",
       "      <td>-0.953771</td>\n",
       "      <td>-0.224592</td>\n",
       "      <td>-0.167457</td>\n",
       "      <td>-1.295085</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.898525</td>\n",
       "      <td>0.312181</td>\n",
       "      <td>-0.180562</td>\n",
       "      <td>-0.527748</td>\n",
       "      <td>-1.243045</td>\n",
       "      <td>0.992711</td>\n",
       "      <td>-0.343225</td>\n",
       "      <td>-0.079396</td>\n",
       "      <td>-0.254870</td>\n",
       "      <td>disease</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.811626</td>\n",
       "      <td>-0.195209</td>\n",
       "      <td>-0.919298</td>\n",
       "      <td>-1.272795</td>\n",
       "      <td>-0.879151</td>\n",
       "      <td>-1.013320</td>\n",
       "      <td>1.011716</td>\n",
       "      <td>-0.204851</td>\n",
       "      <td>-0.142067</td>\n",
       "      <td>0.024593</td>\n",
       "      <td>...</td>\n",
       "      <td>0.829649</td>\n",
       "      <td>-0.382834</td>\n",
       "      <td>-0.027542</td>\n",
       "      <td>-1.025622</td>\n",
       "      <td>-0.233142</td>\n",
       "      <td>1.023383</td>\n",
       "      <td>-0.795165</td>\n",
       "      <td>-0.269384</td>\n",
       "      <td>-0.882696</td>\n",
       "      <td>disease</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.197261</td>\n",
       "      <td>-0.173185</td>\n",
       "      <td>-0.235199</td>\n",
       "      <td>-0.469297</td>\n",
       "      <td>-0.337221</td>\n",
       "      <td>-0.370810</td>\n",
       "      <td>1.930079</td>\n",
       "      <td>-0.161140</td>\n",
       "      <td>-0.163225</td>\n",
       "      <td>-1.024456</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.106561</td>\n",
       "      <td>-0.713525</td>\n",
       "      <td>-0.424260</td>\n",
       "      <td>-0.484832</td>\n",
       "      <td>-0.477333</td>\n",
       "      <td>0.501966</td>\n",
       "      <td>-0.577998</td>\n",
       "      <td>-0.349661</td>\n",
       "      <td>-0.615033</td>\n",
       "      <td>disease</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.448710</td>\n",
       "      <td>-0.154034</td>\n",
       "      <td>-0.261511</td>\n",
       "      <td>0.944419</td>\n",
       "      <td>-0.135146</td>\n",
       "      <td>0.098050</td>\n",
       "      <td>0.169166</td>\n",
       "      <td>-0.227412</td>\n",
       "      <td>-0.374804</td>\n",
       "      <td>0.193372</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013588</td>\n",
       "      <td>-0.444125</td>\n",
       "      <td>0.003629</td>\n",
       "      <td>0.378170</td>\n",
       "      <td>0.762636</td>\n",
       "      <td>-0.847582</td>\n",
       "      <td>1.973716</td>\n",
       "      <td>-0.440641</td>\n",
       "      <td>1.896271</td>\n",
       "      <td>disease</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 159 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   1_5-anhydroglucitol  1-monostearin  2_3-dihydroxybutanoic acid NIST  \\\n",
       "0            -1.315982      -0.191139                        -0.314134   \n",
       "1             0.702901      -0.166243                         1.106687   \n",
       "2            -0.811626      -0.195209                        -0.919298   \n",
       "3            -0.197261      -0.173185                        -0.235199   \n",
       "4            -0.448710      -0.154034                        -0.261511   \n",
       "\n",
       "   2_4-diaminobutyric acid  2-deoxyerythritol  2-deoxytetronic acid  \\\n",
       "0                 0.900240           0.209300             -0.666017   \n",
       "1                -0.833770          -0.534704             -0.188475   \n",
       "2                -1.272795          -0.879151             -1.013320   \n",
       "3                -0.469297          -0.337221             -0.370810   \n",
       "4                 0.944419          -0.135146              0.098050   \n",
       "\n",
       "   2-hydroxybutanoic acid  2-hydroxyglutaric acid  2-hydroxyhippuric acid  \\\n",
       "0                0.727863               -0.138580               -0.400194   \n",
       "1               -0.953771               -0.224592               -0.167457   \n",
       "2                1.011716               -0.204851               -0.142067   \n",
       "3                1.930079               -0.161140               -0.163225   \n",
       "4                0.169166               -0.227412               -0.374804   \n",
       "\n",
       "   2-hydroxyvaleric acid  ...  tryptophan  tyrosine  UDP-glucuronic acid  \\\n",
       "0              -0.055432  ...    0.523924  1.937765            -0.418593   \n",
       "1              -1.295085  ...   -0.898525  0.312181            -0.180562   \n",
       "2               0.024593  ...    0.829649 -0.382834            -0.027542   \n",
       "3              -1.024456  ...   -1.106561 -0.713525            -0.424260   \n",
       "4               0.193372  ...    0.013588 -0.444125             0.003629   \n",
       "\n",
       "       urea  uric acid   uridine    valine   xylitol    xylose    Class  \n",
       "0  0.378001  -1.016102 -0.694224  1.877948 -0.534297  0.632746  disease  \n",
       "1 -0.527748  -1.243045  0.992711 -0.343225 -0.079396 -0.254870  disease  \n",
       "2 -1.025622  -0.233142  1.023383 -0.795165 -0.269384 -0.882696  disease  \n",
       "3 -0.484832  -0.477333  0.501966 -0.577998 -0.349661 -0.615033  disease  \n",
       "4  0.378170   0.762636 -0.847582  1.973716 -0.440641  1.896271  disease  \n",
       "\n",
       "[5 rows x 159 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler, Normalizer, MinMaxScaler\n",
    "\n",
    "# standardize\n",
    "for i in ['plasma', 'serum']:\n",
    "    scl = StandardScaler().fit(vars()[i+'0'].iloc[:, :-1])\n",
    "    stand = scl.transform(vars()[i+'0'].iloc[:, :-1])\n",
    "    vars()[i] = pd.DataFrame(stand, columns = vars()[i+'0'].columns[:-1])\n",
    "    vars()[i] = pd.concat([vars()[i], vars()[i+'0'].iloc[:, -1]], axis=1)\n",
    "\n",
    "plasma.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "hHIN4cpOUseh"
   },
   "source": [
    "# PCA, tSNE & Other Functions\n",
    "## PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "hPeZ-YigP1aJ"
   },
   "outputs": [],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "def pca_analysis(df, n_components):\n",
    "    pca = PCA(n_components=n_components)\n",
    "    pca_result = pca.fit_transform(df.iloc[:, :-1].values)\n",
    "\n",
    "    pca_concatenate = np.concatenate([pca_result, labels], axis=1)\n",
    "\n",
    "    return pca_concatenate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "WV9uX0vFQDyE"
   },
   "outputs": [],
   "source": [
    "def make_dataframe(array, n_features):\n",
    "    col = []\n",
    "    for i in range(1, n_features+1):\n",
    "        col.append(f'pc{i}')\n",
    "    col.append('Class')\n",
    "    return pd.DataFrame(array, columns = col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "1-8uMYFWTBSG"
   },
   "outputs": [],
   "source": [
    "def plotting(pca_df, n_components):\n",
    "    fig, axes = plt.subplots(nrows=n_components-1, ncols=4, figsize=(20, 8))\n",
    "    fig.suptitle(\"Principal Component Analysis\",fontsize=20)\n",
    "\n",
    "    for i in range(n_components):\n",
    "        for j in range(i+1, n_components):\n",
    "            if j==n_components:\n",
    "                break\n",
    "            axes[i, j-1].set_xlabel(f'PC{i+1}',fontsize=20)\n",
    "            axes[i, j-1].set_ylabel(f'PC{j+1}',fontsize=20)\n",
    "            for target, color in zip(targets,colors):\n",
    "                indicesToKeep = pca_df.Class == target\n",
    "                axes[i, j-1].scatter(pca_df.loc[indicesToKeep, f'pc{i+1}']\n",
    "                                , pca_df.loc[indicesToKeep, f'pc{j+1}'], c = color, s = 50)\n",
    "    fig.legend(targets,prop={'size': 15}, loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "W4-0mzTTXRvT"
   },
   "source": [
    "## t-SNE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "d5FexA5TVUMe"
   },
   "outputs": [],
   "source": [
    "from sklearn.manifold import TSNE\n",
    "def tsne_analysis(df, n_components):\n",
    "    tsne = TSNE(n_components=n_components)\n",
    "    tsne_result = tsne.fit_transform(df.iloc[:, :-1].values)\n",
    "\n",
    "    tsne_concatenate = np.concatenate([tsne_result, labels], axis=1)\n",
    "\n",
    "    return tsne_concatenate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "I_R9XARdt-V0"
   },
   "outputs": [],
   "source": [
    "def tsne_dataframe(array, n_features):\n",
    "    col = []\n",
    "    for i in range(1, n_features+1):\n",
    "        col.append(f'tsne{i}')\n",
    "    col.append('Class')\n",
    "    return pd.DataFrame(array, columns = col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "RROhs0r4uigO"
   },
   "outputs": [],
   "source": [
    "def tsne_plotting(tsne_df, n_components):\n",
    "    fig, axes = plt.subplots(nrows=n_components-1, ncols=4, figsize=(20, 8))\n",
    "    fig.suptitle(\"t-SNE\",fontsize=20)\n",
    "\n",
    "    for i in range(n_components):\n",
    "        for j in range(i+1, n_components):\n",
    "            if j==n_components:\n",
    "                break\n",
    "            axes[i, j-1].set_xlabel(f'TSNE{i+1}',fontsize=20)\n",
    "            axes[i, j-1].set_ylabel(f'TSNE{j+1}',fontsize=20)\n",
    "            for target, color in zip(targets,colors):\n",
    "                indicesToKeep = tsne_df.Class == target\n",
    "                axes[i, j-1].scatter(tsne_df.loc[indicesToKeep, f'tsne{i+1}']\n",
    "                                , tsne_df.loc[indicesToKeep, f'tsne{j+1}'], c = color, s = 50)\n",
    "    fig.legend(targets,prop={'size': 15}, loc='upper right')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plasma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "8mJbTitszFRG",
    "outputId": "e2269dc1-ef0d-456b-c8ed-7e874a3380cd"
   },
   "outputs": [],
   "source": [
    "pca2_plasma = pca_analysis(plasma, 2)\n",
    "\n",
    "pca2_plasma_df = make_dataframe(pca2_plasma, 2)\n",
    "# print(pca2_plasma_df.head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 341
    },
    "id": "--HrgVwLB0wH",
    "outputId": "d5522eca-81a4-47d1-c11b-38a85fb38205"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x183c94fafc8>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZgAAAEnCAYAAACUp1X1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAABFFUlEQVR4nO2de3hU1dW43xVIQJJ4AVRsEFHBC1C8YfthowURxZS2KtrUK1Ssba31o+gnWKti1dIfWhRbrbX0E62oUaptVYR6wxrv0aoFvISPIiKoXCpMAiRA1u+PfQ5MJmduydwys97nmWdm9t7nnHXOnNnr7L3WXktUFcMwDMNINUXZFsAwDMPIT0zBGIZhGGnBFIxhGIaRFkzBGIZhGGnBFIxhGIaRFkzBGIZhGGkh4wpGRPqLiIrInAwfd4WIrMjkMb3jjvDOd1qmj20Y7UVE5nj3bf8MHS8l/08RuV5EtorI/ikQy/AQkWO8++GiZLZLSMF4Ow5/7RCRdSLynIic0z6RjXiIyGgRmSsi/xaRzSKyRUSWicifROTUbMtnOFLVGYvI095+PhaRLikSr2DwlMr/AHer6scRdUn1YX67dsrxobf9ywm0HS0ij4nIahFpFpH/eNs/IiKXiYhEOY8WETk4xn6fD2s7IUa7/b1roSLyy2jtVPVN4C/ADSJSFu+8fLom2tDjeu+9GDgM+DYwUkSGqerkBPfxCXA4sDHJY3eUURk+XrsRkXLgPuA0YCvwHPAosA04EKgCzhORX6vqFdmS00gdInIQ7h5VoC9wKvBEVoXKLKn4f14DdANmxGiTij4sKiIyEhiI+x2Hi8gQVV0cpe3PgJuA7cAC4ANgB3Aw8HXgTOBOrz6c7bi+eyLws4D9DgRGhLWLxUW4gYYC3xORa1U18ng+04HXgMuAqMqoFaoa9+UdXAPKRwEt3qt/IvsqtJf3QyswLcH2RbibTXGK5UsBbboB/w3cke3zs5cCzPF+r/4d2Md0bx/++986+zllWN49gEbg71Hqk+rDorVPQI4HI37H26O0OwCnADYCXw6oLwJOASTgPFYBbwBrgK4B2/4/r92j3vuEKDJ0AT72ZLjDa3tGnPN7D/gIKEroeiR40aJebGCpV3+W932a930EcA5O4zUAK7z6/l79nGg3NPAD4F+4p/fPgLuBPaIcvy9wO1APbAE2AK8D10S0W+HLEFY2wf8BgG8AL3s36X+AecDAgOMdAvwKqAPWAk3eBb8b6BvQfgTJKZhzvfb1QGmctt0ivwNTvWu3GdgEvAh8J2Dbnb8D7olpHrAeCAF/B4Z47fb2zm2N93u8AYwM2F/47z4e+Kf3e3wO/C/QJ8o5DMSN1j4BmoHV3vegax9+jDO933mz95s/BFREOUZP3B/+PU+mjcCzwMkBbcPviZHAIu+abAKeBA4P+m8EvFYEyRJFvq7e9d0I7ObdW9tjnM8i7xhdcU+w9d59+DGucykJ2OY04H7gQ9w93gi8iXsabdNZEKFgcE/7Cjwf4zz+hRtl7+d9F+9eeBn3X9nqybgQqE7g/1niyfcW7j+52Wv3V+CkiLY/9OSb2NE+LF77GOffyzvHD8N+0w1A94C23/GO8Zckj+ErmIu9z6dF1Bfj+syXgBv9eznKvsZ69XcDQ7zPT8U5/nVeu1MSkTcVRn5/jjByvvJyXMeyEvgt8FSC+5vhvd7BadVPgO8Dj7U5sMgwr91PcB3T7cBcXIcwLYlzOAM3v7gKmAW8AowDXhWRQwPa/hD3R3kQ+A3uBr0IeENEKpI4bhAXe++3qGpjrIaq2uR/FpES3B93Ou7mvgP4E04h1sSYX+2PewjYF9ep/B04CVjkDbVfBY4FaoCHgSOAp0SkX5T9/RS4C/e73IYb9n8PeFlE9g5vKCLH4jrT83CK6xbveOcBdV59EJfgOssV3nkuBqqBZ0SkW8QxDsB1pFNxndxd3rkcDiwQke9HOcZY71ps8rZ5ETc1+YKI9A5rd713ruDuneu9121R9hvEt4A+QI2qbsH9Dl2AC+Ns9wDu3n8R+B1OeV4J/D6g7a+Ao3G/9W9wSrzMk/neeAKq6vvA88AIETkksl5EjsN1Un9V1TVe8U3eufTB3TszgWeACuCseMf0tp2F6zTvw/2//wF8GRgT0fYk7702gf22Ed97b5fNJYzxuIe8OeqmmeYCexF8ruu994PaaW97EPeQEGl0/xawD/CHBPbh9zVz1E3jvQmc7P1novGS9z46ISmT0JpttDnuR/WHlwdo66fMRuCogG36E3sEsxLoF/F09w+v7isRTzf/9srPCThO34jvK4g+glFgbETdf3vlz0aUVxAxcvDKT8bNn/4uonwECY5gvHNt8toPSPLJ5ipvu/mEDZtxN9sKr+64gN9Bgasj9nWNV74B17kWhdWd79XdGrGN/7s3R/7uwK1e3R/DygQ3olDg3Ij21V75+xHH9o+xiYhpBVxnq0SM1nBP+y3AdyPK9wTexnXK+wbcE9uBURHb+NMeV0a5d/sn85uFbe9PiQ73vvf07oMVBI8uFnnt3wR6hpWXAsu8+7BPxDYHB+ynCKdcFPhqvHPCjRoV9/ATuS+//eiwsvW4h7YeAe17x/p/4qa8WnAPIF0Ctu8V8f1T3AhQItt69Qn3YbHax/kd3/OufV/vuz8qeDGgbSm7/pf/wD1MDA4614DzWOV9nu3dp33D6hd416EHMUYwuH5sO/BBWNmlXvsbYhx/D6/N6wldkwQvnN8RTfNeN+GmVLZ75TPD2k4joAMKq+9PbAVzUcA23/PqLg0rG+eV/TXBc2h1A3tlEwhQIl5dF9yfVcNvvDjHeBdYHlE2wr92CWy/T9i1bjOsjrNtvfcnOSygbqK3z/8N+B3+HXlTA/3Y9ZBQHnBdthExVRL2u/8x4Ph7AF/gOvNuXtnXvPYvRzmfF736EwKOcWNA+5FEdH640ZYCj0Q5xre9+ksC7on7A9of6NXNi3Lv9k/mN/O2PQDXKb0fUT7P2+epAdss8upOCqi7noAHphjHP9prf228c8I9AK0G1hH2kIVT1pu9/4uEla/37q82D2QBcqygtYLZ3Tv+S0RRGmFtS7y2H8Zok3AfFt4+id/xeG+bhRHldV754QHbDMVNJWvYazPwAm6UHvQgG65gvhr+24XdS3d632MpGP8h8qqwMv/B5hNiKDrc//jTRK5Lsl5k13nviuswXsR1KPcHtH09yX371AWU+S6He4WV/Zf3nujUWyxeiCxQ1R0iUouzTxyFs7PguQ2ei+uIjvBkCh/iNqdAnqTwvM4GAJ+om8qI5Dnv/aiAurdVdUdE2Wrv/UNVDYVXeNflM5ztK4iga7lRRN7GecYcjhs5HB0hW5DMlZ7M/4ioS/QeGe697xFlHZI/ZXd4QF2ix+govhfPnIjyObiHqO8T/R5PWEYR6YVz4a0CDsI9QYcTd2pXVbeLyB+Aaz3ZHvCqzsfZju5WrwfymIubwlsqIg/j7o1XVDWuB6mqbhKRx4FvAm+LyJ9x/c1rqro5onkv7/0/8fZLcn1YMvjTTfdElM8BjsH9jq281FT1XeAob6p/JO4/MRw4wXtdLCIjVTXwvFT1NRH5F3ChiNzIrnsp5vSYiBThHjpbcFOP/v42eNd8HM4m/bcou9iAm1KPS1IKRlUlfqudfJrMvsP4IqDMd5sL78j39N4/aedxwvksSrl/DnuElc0EJuEMeAu942/x6ibgniLaywacgirB/eH/L8HtfPnWRKn3y/cMqGvzZ/c6ksA6j+24efEgEr2WHZH5iygyQet7xO94RhN7zjjIr7/NMcKuS0rWqHhz7xfi/uh/iqhegLtm3xSRPqra5v+kqm1kJOA6iMieOBvXgbgHv/tw99p23PX9b5ztIBHuBq7GOeL4CuZi3H0b2bn+FFiOm4GY6r22i8h84HJVXRbnWNXAFJyzkO9evFVE5gFXqKp/r/n/v+7xhE+yD0sIEdkLN334Bc6WG84DwK+BC0TkKg2zm4bJVEfYw4KIfAU3dXkETiFOinH4P+BsU6firvObqvrPOCKfguunFqpqZP85B6dgLia6gtmNXdc8JsmOYJJB4zfpEF947x01qkN0bdzHe98IICL74LxaFuPsGa2e7kXk7I4I4XVgr+KeXkaRuILxFUGfKPX7RbRLJwldSzIjs7/tf6vq7R3YT7oYC3zJ+7wqYk1dOBeS6LqDYC7CKZfrVXVaeIWIDMcpmIRQ1U9E5G/A6SJyGG5aZQjOQWFtRNsdOGeH27z/TiXwXZzRe7CIDA7qcMO234I3peUtojwB9xB3Hm6K93iv3Rci0syuB4pMcwFOuXUHtkT5HXvRetQXFVV9XUQuxTlEnBin+Z9wnoN34frCXyQgrz/aOiXGYtIxIrK/tl2wWoR7KPl3AsdJq4JJN69676fiLm5H+Hpkgfd0Wel99Z8IDsINQf8eoFz6evUd5W7cH+kKEbk/YDog/JjdVLVJVUMi8n84j5SBqlof0XSk9/5WCuSLx9cJG3Z7cu4BHIlz4XzPK/av6Ygo+0mFzP49cjzuKS9d+FOMyY5sfA+2Jwge+XXBdagTRWR6xPRTMgzw3v8cUNfm3k+AO4HTcaMYfyouyHNtJ6r6OW5dxqMi8iyu4xyCc1SIi9fRzRWRB3GeiZUi0ktVfW+sf+Gmm3ZX1U3JnlAH8X/HB3E2lEj2wI1wvk8CCsbD719ijrg85ToPN03Z6MkQFRHpg3uw2QQ8EqXZYTgb6YXsGjn6HOrJ9Has4/h0ZgXzOM4w+C0ROVtVW11YEemrqqsS3NeJIjJWVcNXTl+Ks788r6ofeWUrvPdKEeni2y680Al/IDXX80HczXIK8FcRuUB3uX3iHa8Ed7Me7skJziX8JuBmERkXJltvnEHPb5NuzheR30YM06fh/mT3hD2xvsSujuJMVZ3nNxaRM3FK4UPa53YKuKkHEXkROENELlTVNucvIl8GPvM6wPbid3L9SHDU6T2Rj8HZDc5S1a1R2g3APeicBDzdTvlWeO8jcB2xv++jcN6HyfIs7rcZj3tq/0BVnw9v4LmLD1PVlyLKi3GjHgjujP12e+M84f4VUVWKm9LcTmt75yKcreMruCf/jOC5Zw8GlqpqYNgs76l/Oc7Fe6Cq1nvTYIPY5Zoe3r4YNzUIbe2PQfwcp7zXRj74BnAhrp+aq6qXRJF3AO73nSgiN6hqS1i1b/t+vu2Wbem0CkZVm0XkLNxahQdE5Ae4J9buuI53FImf3+PAYyLyGM4T5kjcyGgDzpvDP+anIvIQbpj/toj8HddxjsY9nb/tbduR82rxzutPOC+n5d4Tn+8C2R/39Lc3bt2Izy2ezN8G3vHmuXvgpiP2AWaoars76yR4CnjJM+quwXWOlbhObqrfSFVVRMbjOs0aEfkrzi35UNyiwBBwQcTN3R7OwTkM/FFELsOtA/kC56QwFPcUPRy3ILS9PIszoP/BM0aHgC9U9bcxtpmIG6HcH025eMzGXb+Lab+Cuc+T7zZxoUzqcQtcx+I6pupkdub9dnfh7JHgRt2R7AbUisgy3CjlI9x/czTu//k3VX0vYDufCuCfnhH7XZzzwu6ezH1wK+TDO9M/49benUIKFYzEDsp7Cbumm/4YrZH3n74H96B1Me63+BLOZvVbz5loKa4P2Q/34NEH1xfFnfJS1ZW45R0x8RyU/HUzs2Psb5mIvIB7IDkVt8DYx1+O8dd4x/N3logLXsIue4Stto5S35/Ybsr9A7YZQRRXX9xT4524OcFm3NPka8DPItqtIPZK/rG4BZaNuA7oz8AhAcfrgRspLGPXyuQ7cHOsiyKvUyzZE7iWJ+OG1P/GGdW24p6EHgDGBLTvjlvZvdhrH8KNAM5O9HeI+M0XRakLupY7f3fver7tybAW90faL8q+DsUp0zU49+c1uEWUhyZzb8U6H6Dcuy5v4qJKbPGu6ZO4P3xpWNud90Qy1wXnIfQeu9YxrQja3mtbhOsQFBga5x7o4d2PzcA+Xlmb+yye/Lin5b/hFKm/iv+iaNeNOK7XuKmxHd617BVQX4xb9PmUd65bvXvhVdxC5ZKI9q3uKdw8/7W4h4NPvOu6xjv3swlwXcZNu64meN1Msm7HmsDrAO9aNhGxridgf/t71+tznBNPuXce9+AU6DrcqGwDLvLBVKAsilyrEjyHVm7KOOWuwFsJbHsOEctAcA/TW0gi+oB4GxYk4qKM3gN8T1XnZFeazo3nBnwdLozMouxKY6QbERmBmya5X1XPz640Ds/J5gFcPK3Hsi1PviEiP8HZMo/XBGdDLOGYYRjt4UrvPdY0YKZ5CDd7MU1iuOQZySMiu+HsdX9OVLlAJ7bBGIaRWTyHiLE4Y/qpwBOq+lp2pdqFqqqIXIyLF/glUrNGznD0x9na5iSzkSkYwzAS5RjcehzfxTXQCymbqFsd/2625cg31DlkTEt2u4K2wRiGYRjpw0YwGaZ3797av3//bIthGAXJm2++uU5V947f0kgFpmAyTP/+/amrC4pRaBhGuhGRj+K3MlKFeZEZhmEYaSHvFYyInCAifxORT0REvbUv4fUiItNEZLWIbBGRRSIyOIH9jhORpSLS5L2fnraTMAzD6ITkvYLBxS1ajIsYGxRi+kpciImf4FIDfw48LS7HSiBeBNoaXL6LI733R0TkqymV3DAMoxNTUF5kItKAy4o5x/suuNASv1XVm7yy3XBK5gpVDYwQKyI1uFS1o8PKnsEFm4sZsn/YsGFqNhijI2zbto1Vq1axdWusEGaFTffu3enbty/Fxa3TFonIm6o6LEtiFRyFbuQ/EBdU7u9+gapuEZF/AMcRPQT5cOA3EWUL2RXZuLAJhaCmBurrYeBAqK6G8qgDQiNJVq1aRXl5Of3798cWrLdFVVm/fj2rVq3iwAMPzLY4BU2hKxg/2VVkLo7PiJ3IrE+UbQKTZ3mriy8G6NevX/JSdiZqa6GqClpaoLERSkth8mSYPx8qK+Nvb8Rl69atplxiICL06tWLtWvXxm9spJVCsMFkHVW9W1WHqeqwvffOYxf8UMgpl1DIKRdw7355Q0N25csjTLnExq5PblDoCsbPcx6Z5nffsLpo2yW7Tf5TU+NGLkG0tLh6wzAKhkKfIvs3TimMBt4AEJHuuGyK/xNju1e8bW4OKxuNy+NQuNTX7xq5RNLYCMuWZVYeIyNMmzaNsrIyNm3axAknnMBJJ52UbZGMHCHvFYyXztjPSV4E9BORI4ENqrpSRG4DfiYi7+PShP4cl5TqgbB9PAu8rqp+etlZwD9EZCrwF1x+8pG4zIOFy8CBzuYSpGRKS2HAgLblRvrJkNPFL34RN/miUWAUwhTZMFymu3/i0rhe7332/w0zgFtxWSnrcClLT9bW6VgP9soBUNWXcWmTJ+Ait14AVOdS6PKsUF0NRVFuqaIiV29kltpaqKiASZNgxgz3XlHhyjvATTfdxCGHHEJlZSUffPABABMmTGDevHkATJ06lUGDBjF06FCuuOIKANauXcu4ceM49thjOfbYY3nppZcAeP311xk+fDhHHXUUxx133M79LVmyhK985SsceeSRDB06lPr6egDuv//+neU/+MEP2LFjR4fOxUgjiaa+tFdqXsccc4zmNS++qFperlpaqgruvbzclRspYenSpYk13LTJXXto+yovVw2F2nX8uro6HTJkiDY2NurGjRv14IMP1ptvvlnHjx+vjzzyiK5bt04POeQQbWlpUVXV//znP6qqevbZZ+uL3n3w0Ucf6WGHHaaqqhs3btRt27apqurTTz+tZ5xxhqqqXnrppXr//ferqmpTU5Nu3rxZly5dqmPHjtXm5mZVVf3Rj36k9957b6CcQdcJqNMc6AcK5ZX3U2RGhqmshNWr3ZTMsmVuWqy6GsrKsi1Z4ZGI08XEiUnv9sUXX+T000+nR48eAHzrW99qVb/HHnvQvXt3Jk6cyNixYxk7diwAzzzzDEuXLt3ZbtOmTTQ0NLBx40bGjx9PfX09IsK2bdsAGD58ODfddBOrVq3ijDPOYODAgTz77LO8+eabHHvssQBs2bKFffbZJ+lzMDKDKRgj9ZSVtavjMlJMlpwuunbtyuuvv86zzz7LvHnz+O1vf8tzzz1HS0sLr776Kt27d2/V/tJLL2XkyJE89thjrFixghEjRgBwzjnn8NWvfpUnn3ySqqoqfv/736OqjB8/nunTp6dFdiO1FIINxjAKE9/pIogOOF2ccMIJ/OUvf2HLli2EQiEef/zxVvX+qKSqqopbb72Vd955B4CTTz6Z3/xmVwCMt99+G4CNGzdSUeHWNc+ZM2dn/fLlyznooIO47LLL+Pa3v827777LqFGjmDdvHp9//jkAGzZs4KOPLAJ/rmIKxjDylTQ5XRx99NFUV1dzxBFHcOqpp+6crvIJhUKMHTuWoUOHUllZycyZMwG4/fbbqaurY+jQoQwaNIi77roLgCuvvJKrrrqKo446iu3bt+/cz8MPP8yQIUM48sgjWbx4MRdccAGDBg3ixhtv5OSTT2bo0KGMHj2aNWvWtOs8jPRTUMEucwELdml0lPfee4/DDz88scZBoXuKigoidE/QdbJgl5nFbDCGkc+Y04WRRUzBGEa+Y04XRpYwG4xhGIaRFmwEk09YHhbDMHIIUzD5guVhMQwjx7ApsnzA8rAYhpGDmILJBywPi9HJWLFiBQ888ED8hhHMmTOHSy+1zOSdBVMw+YDlYTFiEGoKMfut2Ux5egqz35pNqCkUf6M0E0vBhC+2NDo3ZoPJBywPixGF2pW1VM2tokVbaNzWSGlxKZMXTmb+ufOp7Nd+29x9993HLbfcgogwdOhQbrjhBi688ELWrVvH3nvvzT333EO/fv2YMGECu+++O3V1dXz66afMmDGDM888k6lTp/Lee+9x5JFHMn78ePbaay8effRRGhoa2LFjB4899hgXXnghy5cvp0ePHtx9990MHTo0hVfGyAQ2gskHLA+LEUCoKUTV3CpCzSEat7mHj8ZtjYSaXXlDc/tsc0uWLOHGG2/kueee45133mHWrFn85Cc/Yfz48bz77ruce+65XHbZZTvbr1mzhtraWp544gmmTp0KwK9+9SuOP/543n77bX76058C8NZbbzFv3jxeeOEFrrvuOo466ijeffddfvnLX3LBBRd08GoY2cAUTD5QXu68xcrLdwU3LC3dVW6rtguSmiU1tGiwba5FW6hZ3D7b3HPPPcdZZ51F7969AejZsyevvPIK55xzDgDnn38+tWEJzU477TSKiooYNGgQn332WdT9jh49mp49ewJQW1vL+eefD8CJJ57I+vXr2bRpU7vkNbKHTZHlCxYSxIigfn39zpFLJI3bGlm2ITO2uW7duu38HCv2YWm0yM9Gp8VGMPmEHxJk+nT3bsqloBnYayClxcGddmlxKQN6ts82d+KJJ/LII4+wfv16wIXMP+6443jooYcAmDt3Lscff3zMfZSXlxMKRXc2OP7445k7dy4AixYtonfv3uy+++7tktfIHjaCMYw8pXpwNZMXTg6sK5Iiqoe0zzY3ePBgrr76ar7+9a/TpUsXjjrqKH7zm9/wve99j5tvvnmnkT8WQ4cOpUuXLhxxxBFMmDCBvfbaq1X9tGnTuPDCCxk6dCg9evTg3nvvbZesRnYp+HD9IrICOCCgar6qfiPKNkEX7Ueqele841m4fqOjJBOuP8iLrEiKOuxF1hmwcP3Zx0YwcCzQJez7fsCbwMNxtvs+8ETY940plsswOkxlv0pWX76amsU1LNuwjAE9B1A9pJqyEps+NdJPwSsYVV0b/l1EJgKbiK9gvlDVT9MmmGGkiLKSMiYebeH6jcxjRv4wRESAicD9qrolTvNZIrJORN4QkR+KiF1LI2MU+tR2POz65AYFP4KJYDRwIPCHOO2uBZ4HGoBRwK+B3sCNQY1F5GLgYoB+/fqlSlajQOnevTvr16+nV69euGciIxxVZf369XTv3j3bohQ8BW/kD0dEHgEOUNWvJLndlcDVqrpHvLZm5Dc6yrZt21i1ahVbt27Ntig5S/fu3enbty/FxcWtys3In1lsBOMhIvsA3wZ+3I7NXwN2F5F9VTX6UmXDSAHFxcUceOCB2RbDMOJiCmYXE4Am4MF2bHsksBX4InXiGIFY1k7D6DSYgmGncf8i4CFVbYiouxS4VFUP875/E+gDvAJsAUYCvwDuVtWmjApeaFjWTsPoVJiCcYwABgLnBdT1Bg4N+74NuASYifPCW44z+t+RXhELnPCsnT5+eoKqKheHzULjGEZOYa61gKo+r6qiqq8H1E1TVQn7vkBVj1LVclUtVdUvq+osVbUsSenEsnYaRqfDFIzRObCsnYbR6TAFY3QO/KydQVjWTsPIScwGk4uYp1RbqqudQT+IRLN22nU1jIxiCibXME+pYPzsnJHXpqgosayddl0NI+PYSv4ME3MlfygEFRWtPaV8ysvNUwqgoSH5rJ12XQ0PW8mfWWwEk0sk4ik1scCj4vpZO5PBrqthZAVTMLlEvnpKZdv2ka/X1TByHFMwuYTvKRXUGXZWT6lcsH3k43U1jE6A2WAyTEHZYHLlfHJFjlhke5RXIJgNJrPYOphcwveUKi/fteajtHRXebY7wWTJldX3uX5da2udApw0CWbMcO8VFa7cMDoxNkWWa1RWuifqZD2lcpFcsn3k6nW1GGtGHmMKJhdpj6dULpJrto9cvK7m4WbkMTZFZqSP6mq3EDKIRFff5zu5NMozjBRjCsZIH7lu+8gFLMaakceYF1mGielFlq+0Z/V9odAZPNzyCPMiyyxmgzHSTy7aPnKFjsZYM4wcxhSMYWSbXPVw6wzY+qGcxqbIMkxBTpEZRjoIihLhj/yiRImwKbLMYkZ+wzA6H+Hrh3wvvMbGXeUNDdmVzwBMwSAi00REI16fxtnmyyLygohsEZFPRORaEZFMyWwYBU+uRIkwYmI2GMcHwIiw7zuiNRSR3YGngX8AxwKHAfcAjcCv0yeiYRg7sfVDnQJTMI7tqhpz1BLGuUAPYLyqbgEWi8hhwGQRmalm1DKM9JNrUSKMQAp+iszjIBFZLSL/FpGHROSgGG2HAy96ysVnIfAloH/QBiJysYjUiUjd2rVrUye10XFCIZg9G6ZMce9B61GM3MOiRHQKTMHAa8AEYAzwfaAP8LKI9IrSvg/wWUTZZ2F1bVDVu1V1mKoO23vvvTsusZEaLIpx58WiRHQKCn6KTFWfCv8uIq8Cy4HxwMysCGWkH4ti3Pmx9UM5T8ErmEhUtUFElgADozT5FNg3omzfsLrCJAcXvIWaQtQsqaF+fT0Dew2kenA15d08mSyKcX5gUSJyGlMwEYhId5xn2PNRmrwC/D8R6a6qW72y0cBqYEX6JUwjvpJYsgQ2bIC99oIhQ+Iri1xIixwp0spaquZW0aItNG5rpLS4lMkLJzP/3PlU9qs0LyTDyAAFr2BE5BbgcWAlsA9wDVAK3OvVTwe+oqqjvE0eAK4D5ojIjcAhwFTg+k7tQeYriW3bYOvWXeXdu8dWFjk41RRqClE1t4pQ8y6ZGrc5marmVrH68tWUmReSYaQdM/JDX+BB3FqYR4Em4L9U9SOvfj/gYL+xqm7EjVi+BNQBd+DWv3Ree024kghXLuC+x1odnYML3mqW1NCiwTK1aAs1i2vMC8kwMkDBj2BU9btx6icElP0LOCFdMmWcWErCJ5pdIgenmurX1+8csUTSuK2RZRuWWRRjw8gABa9gDGIrCZ9oyiIHp5oG9hpIaXFpoJIpLS5lQE9PJvNCMoy0YlNkRuysij7RlEUOTjVVD66mSIJlKpIiqoeEyeR7IU2f7t5NuRhGyjAFY8RWEj7RlEUOLngr71bO/HPnU15STmmxk6m0uJTyEldeVmJKxDAygU2RGa3tEUFeZMXFsZVFDk41VfarZPXlq6lZXMOyDcsY0HMA1UOqTbkYRgaxhGMZJqcTjjU0OCWxdCmsXw+9esGgQVlXFoaRKizhWGaxEYyxC1sVbRhGCjEFUyjkYCgXwzDyG1MwhUAOhnIxDCP/MS+yfMdylxuGkSVMweQ7ORjKxTCMwsCmyPKdHAnlEjN0vmEYeYkpmHwnB0K5xA2dbxhGXmJTZPlOlkO5hIfO92ODNW5rJNTsyhuazQZkGPmKKZh8J8uhXBIKnW8YRl5iU2SFQBZDuSQUOt8wjLzEFEyhkIJV+u0x1CccOt8wjLzDYpFlmIzGIkvh6v0gQ32RFMU11IeaQlTMrGiVvtinvKTcpS+2AJRGhrBYZJnFFEyGyZiCCVq972drTHL1fkeVRHuVU6fAQvB0KkzBZBabIstHwlfv+/huylVVzh6ThP0lEUP9xKOjT7/tDJ1fdy/LXnmCAeuhuv83KNvriIRlyEksBI9hxKTgvchE5CoReUNENonIWhF5XESGxNmmv4howGtMpuSOSYpX76fCUF/2+ttMHHMV0697kYnTF1A2eSpUVLhOujNiIXgMIy4Fr2CAEcCdwHHAicB24BkR6ZnAtmOA/cJez6VJxuRI8ep931AfREKG+nzsjC0Ej2HEJetTZCJyOq6T3w4sUNWno7QbD4xX1RNTeXxVPSXiOOcDG4GvAY/H2Xy9qn6aSnlSQopX71cPrmbywsmBdW1y3AeRSGcc4eGWjMdaVsLQ5EgIHsPIZbKmYEREgBpgHCBe8SQReRK4QFW/iNikP/D1DIhWjhvZ/SeBto+KSHegHrhVVecFNRKRi4GLAfr165cqOaNTXe1sAUG0Y/V+eTPM3/1HVK29jRYRGmlqZaiP6wWWZGecTGiZrIWhyYEQPIaR62Rziux7wJnAKuBq4EpgKTAWqBWRfbIk1yzgbeCVGG0agCuA7wBVwLNAjYicF9RYVe9W1WGqOmzvvfdOsbgBpHL1fm0tVFRQOeUOVk9vZtYCZeprxcwacCmrL1+dWCfud8ZBRHTGyYSWyWoYmiyH4DGMzkC2FcwXwLGqOl1VbwGOBGYCg3B2kN6ZFEhEZgKVwDhV3RGtnaquU9Vfq+qrqlqnqtcCv8cpydzAX70/axZMnereV69OzrspwnZS1gwTX21m+lPbmHjRnZQ1J7ifJDrjmB5rTVup+d2Pd3rHZTUMTZZD8BhGZyCbNpgvA/NU9XO/wOvUrxCRlcBtOCUzUlUTma7qECJyK/BdYKSqLm/HLl7DKc3coaOr99thOwnE73SjrcsJ64xjeqzJNpYteACueQzmz6d+S5bD0GQxBI9hdAayqWBKgM+CKlT1dhFpAW4HnhaRk9IpiIjMAqpxyuX9du7mSGBNyoTKBVJpyE6wM44ZWqYJBny2fefIauCCX2Y/DE0KQvAYRr6STQXzCRDV4q2qvxWRrrgps4XAS+kQQkTuAM4HTgP+IyJ9vKoGVW3w2kwHvqKqo7zv44FtwD+BFuCbwI+BKemQMWuk2pCdQGcc02MNqF7ifWlpoXqJMFmCp94S8m4zDCOtZNMG8y9gZKwGqnobcBVwLHBpmuS4BOc59ixuBOK/rghrsx9wcMR2PwfqgDdwU2sXquqtaZIxO2TBkF3erZz5586nvKScUi0G3MilvAnmz2WX3aexkfLlq3a19dbplBaXUl5Snph3m2EYaSVrschE5CLgbuCbqvpknLbXANcDqqpdMiFfushosMtUkMKYZsnQ0NxAze9+zLIFDzDgs+1UL6GVU0Fozx7UXH8m9Yf3Yf899kcQVm1axYCeA6geUt05lIvFMcs4Fosss2RTwfQEzgI+UNVFCbQfD/RX1evTLVs66XQKBtxK+2wYskMhF04m1DrIZm0/qDoXWspKO2/wzCwp7kLHFExmsWjKGaZTKphsEtERh/bsQcWPNhPq1rZppwn/H0VxAm4Ek2QwUiNxTMFkFotFZiRPKASzZ8OUKe49qKNMFRHreWquP5OWsuBFm50mBbPFMTMKhGyGiikBaoEQMEZVt8Vo9xRQChwfrZ2RIbIRor6sDL7zHaipoX7FczQWd3ztS1bil/lYHDOjQMimm/J5wDE4I39UpaGqzSJyMzAfOBeYkxnxjDasXg0nnQRNTbvKOpBnJmHClNrAQxspHQONJW2bJbr2JWvxy3wsjplRIGRziuwMYLmqzo/XUFUX4AJKnpV2qYxgamvh4INbK5dw0jW1ExGupnoxFEUxGyay9iXZWGez35rNlKenMPut2YSaUjQVaHHMjAIhmwrmKGBREu3/gVstb2Qav5PfujV6m3RN7UTYK8qb3XqY8iYo9dyWk1n7kmj8stqVtVTMrGDSgknMeHkGkxZMomJmBbUrU5AgzeKYGQVCNqfIehMlVEwUPgN6pUkWIxaxjNI+JSXQt2/qjx1gr6hcCat/DTWDYdk3/osB37wo4bUviWTnDB/lhNcBVM2tSo2nmsUxMwqAbCqYLUAy/6YyIMYjtJE2YhmlfZqbXdTmI45IrbE/ir2irBkmflgKP74Ijk48FljMWGeeDSeRUc7EJI4ZFYtjZuQ52Zwi+xhIxh99GLAyTbIYqaChoV0pkGPaOlJsr6geXE1RnPhliYxyDMOITzYVzCJguIjEVTIicgxwHPB8uoUyIgiF4M47E28fYeyPZyiPa+tIpb0iFKL8TzXM3/RNyqU7pcU93O4ibDj+KCeIjEVpNow8IJuhYg4FluBGMlWq+l6UdofhXJT3B4ao6geZkzL1dLqV/LNnw6RJ8afIwhkzBh5+mNr/vNPGHTg8pEuoKUTFzIpWtg6fNqvyOxquJmL9TsOePag5fAfLLj6TAUNHtrLhJCWX0amwlfyZJWs2GFX9QER+AUwD/iki84DncCmUASqAUcA4oBtwbWdXLlmlvYEVE7G/RPLcc4T6f4mqn7YQ2rF5Z3GkoTwpW0dH7BXhrs4eZV9sZuIrwOK/weq7IExh+BGdoylHUy6GkRjZNPKjqr8Qke3AdcA5wNkRTQSXd+VqVZ2eafnyho6svo+1KDAazc3U9G+mZQsurVwEvvLImK2jHZk5K/tVOiW4uIZlG5Z1rijNhpEjZFXBAKjqL0VkLnAh8DVc7hVwOVlqgXtU9aNsydfpCXh6T2r1fXW1U0bRKClxHmQR1PcMXm0Pu5RHIh5dKaGdoVnKSspS4y1mGAVKTgS7VNWPVPU6VT1JVQd7r5NUdZoplw7S0cCKsYzsCxfCiScGbjZwg0sUFoSvPBLx6EoJ/igsUBgLzWIY6SLrCkZE+onIOBE5Q0T2z7Y8eUcqAitGRDRm1iz3/eSTYejQwE2qF0e/uXzl0Sp7ZTozUlpoFsPIClmdIhORW4BJOFsLgIrIrar6P9mTKs9IVWDFICN7DBfm8maY/+huVF3QhRY0qqE80NZxQBVljz0J9Y+nJtOjPwqLluDLVs8bRlrIppvy2cBcQIH3cUrmUK/6PFV9MMPyXAL8D84GtASYpKovxmj/dWAmMBhYDcxQ1bviHSfjbsrpTG4Vz4V5yhQafvHz5Azl6cz0mK3MnEbOYG7KmSWbI5iLgO3AKar6PICInITL/TIRyJiCEZFqYBZwCc6x4BLgKREZpKptogeIyIG4tTn/i0s7UAncKSJrVfXPmZI7IdL59B7PhVkkOUN5Rx0S4tEZQ7O0173cMHKAbCqYocBffeUCoKrPiMhfgREZlmUyMEdV/+B9/4mIjAF+BFwV0P6HwGpV/Yn3/T0R+SpwBZBbCgbSF1gxbPotVAI1Q5z32MANUL28B+XJGs8jHBJa7bOhieoH76X8+z/umMydiWwkdzOMFJJNBbMXbmoskveB0zIlhJcx8xjgloiqv+PC0wQx3KsPZyEwXkSKczLrZjqe3j0X5tp+UHUutACN3Zz32GQ2M/9r+5NUNxg2Imq7z2YmfzKZ+SuPyExSsGyT7tGcYWSAbHqRFeEWUUayjV1G/0zQG+hC29QBnwF9omzTJ0r7rt7+WiEiF4tInYjUrV27toPi5hDl5YT+No+qcyHUzSkCcO+hblD12JmtEnjFxRsRhUoI3qc0t0kKlrd01L3cMHKAbLspZ8fDIMOo6t2qOkxVh+29997ZFiel1Oy+kpay4DUm4Qm8EsJzJ64Z4kYuQTTvaOash89KbYbJXCQV7uWGkWWyrWCmiciO8BdwLUBkuffangYZ1gE7gH0jyvcFPo2yzadR2m/39lcwpDTci+eQUN+neOfIJZKmHU0s+L8Fqc0wmYvY4lAjD8i2gpEkXymXV1WbgTeB0RFVo4GXo2z2SpT2dTlpf0kjKQ9tX1nJwKtnUipRNIxH47ZGQs2h/J0ys8WhRh6QNQWjqkXteaVJnJnABBG5SEQOF5FZwJeAuwBE5D4RuS+s/V1AhYjc5rW/CJhAW0eBvCFaXpeY4V6at1FdtyV4DU4Mqo8Zj3QtTqht0tNwnYVU5sExjCyR9WCXuYCq1ohIL+DnuIWWi3E5avw4aP0i2v9bRKqAW3GuzKuBy3JuDUyKqF1Z2yZ0/eSFk3fmdWkT2r4ZihTmz22mbP1UuOJnSbnWlncr55KvXMKMl2bEbZvXGSbT5V5uGBnCFIyHqt4JBMY9UdURAWUvAEenWaysE2py01Dhybci87rsDPdSdy/LbvwpAz7dRvUSKGsGaKdrbYLuH3mfYbIzLg41DI9s22CMHCeRpGDghbZf2o3p/yhh4j995RLeODnX2li2nXBSGnXZMIyUYgrGiElSXmIpdK2NZdsB6NG1R8yoy9FsRoZhZA6bIjNaEWoKUbPEZZsc2Gsg+++xP927dmfr9q1t2nbv2r319FSqIjcTPW3xDt3BuMPHMbL/yKiBM+PZjAzDyAxZi6ZcqGQ8mnISBHXMQNQRDMCay9fQp8wLeJDKyM1ekMeG+iXUfGkDywb2ZkCfQWGh/IODP4aaQlTMrGhlM9opQkk5qy9fbWmPCxiLppxZbARjALGN+dHo3qU7T3745K5oyamK3BwW5LGssZGJ/j5+9SsYceiufZeUwCWXwE9/Cj//OZSXJ2QzsjTIhpEZTMEUIgEh4Gvqo3fM0di6Y2tbF+GOutbGCvL444hIys2eJ8GMGS7x2VNPUb8lhZEFDMPoEKZgCo0oIeDrZ30z7oglkqguwh1xrY0V5DEWDQ1QVcXABb+ktLg08Fy6delG3937tk8uwzCSxrzIConw0YE/KmhshFCIgbP/nJBbcDjpcBEO1S9m9qGNTDkJZh/tcsIkTEsL1UskqvdZ044mpj4zNX/jlxlGjmEKppCIMTqoXtqFou07Aut6FPegrLhspwIqLS6N6SLcXmpX1lJR+nsmjYEZlTDpFKi43OWGSYjGRsqXr4opV8O2hvyNX2YYOYYpmEIixjqV8i8286um4wPrbh59M2uuWMOsMbOY+rWpzBoza+cK/lSx08lAt9LojVp25pU5FxoSGcl4rtCV/SqZPmo6JV2CN8rb+GWGkWOYDaaQiLFOJbRnD6Z2ezEwRMvUZ6ZywREXpNX7Kqb3l0DNMd2YeN5MmDLF2VuCCIsy/PHGj2neERlOwGHGfsPIDDaCKSRihICvGbSDlq5dAuviPfGnYtV8zIgBJbDsmh87l+Q1a5ySKSmBbl5I/4AowylPI2AYRtLYCKaQiLFOpf6ib9K48oHAzWI98adq1byvEIKUTGlxDwZ8uA4WTXGjsKuvduteYrhCVw+uZvLCyYHHsvhlhpEZbCV/hsmJlfwNDW0659kfPsSkBZOidPClzBozi+8M/k6rMDJVA6o47I7DUrJqPtYK/LJmmP5CMR/vto2BDSVUf1hC+V+fihv+P0j5FUmRhYwpYGwlf2YxBZNhckLBBBAvxMq878zjzIfPbNVZb2/ZjogExinzlVIydpu2CqEHunkzqi6/TGM3KG1y87rzH9uNyjc+j7uAs6G5gZrFNSzbsIwBPQdEjV9mFAamYDKLTZEZQPTgkkVSxLyznHJJJoxMewzpO/PKeAqh7+KVTG14gIaw7MmN3ueq07ew+sF7Kfv+j4N35lFWUmahYQwjS5iCMXYS2cH7T/wPLX4o6TAy7TWkhyuE2c+NiZp3rAWo+ehJJhJbwRiGkT1MwRQYkeH4qwdXU95tVzTioCf+WB5e0UiFIb2+FzRG8Uhu7AbLbKbLMHIaUzAFRHs9vvbfY/+Y++3WpRtdi7q2MaR31NYxcPhYSp9cuHPhZTilzTDguG8ktJ94StUwjPRQ0ApGRHoC1wOjgQOAdcATwM9VdX2M7SYA9wRU7aaqbS3eOUCscPxVc6s6lCfll6N+yR7d9ki5Ib36mPFMfm4K7Njcpq5otx5UHzM+7j4s+ZhhZI+CVjDAl4AK4Epgqff5TuBB4OQ4224GDg4vyFXlAnFWysfIkxJqCvHEh0/E3PfaxrVMHh685qQjlHcrZ/4FC6m6/1Ratm+jUZsolW4UdS1m/nlPxVVi6VSqhmHEp6AVjKouBs4IK1omIv8DPCEiu6vqptib66fplTB1xFwpH8Xjy3/6b9rRFHW/6V4VX9mvktVXrGmXq7ElHzOM7FLQCiYKuwNNuBFKLHYTkY+ALsDbwDWq+s80y9ZuYq+Ub6skgp7+g8jEqvj2uhq3R6kahpE6LBZZGCKyJ3AD8AdV3R6j6QfAhcC3gbOBrcBLIjIwyn4vFpE6Ealbu3ZtiqVOjOrB1VHzpAQpiVhP/+AM+ztD9jcpzJ7tYoTNnt06G2WqCYXiHsuPjfbOZ+/QrUu3gJ1YPDLDyAR5uZJfRG4Ero7TbKSqLgrbpgx4CtgBjEnGniIi/ijmeVW9LFbbbK7kTyZ0ypSnpzDj5RlR93XqgFN5+KyHKXv97cDYZsyfHzeUS/InEJCNM+JYkecYjWRD2Rj5ga3kzyz5OkV2G3B/nDYr/Q+ecpnvfR2brLFeVXeISB0QOILJFaItpAzqZONNqY07fJwbufgZMn38VABVVbB6ddxQLgkTno0zyrFCxRp3Wi+VbtSGYcQmLxWMqq7DuRzHRUTKcSMXwY1ckk51KCICDAXeSXbbTJOoPSOhaMT3PRQ1QyYtLS6g5sQUGdFjZOP0j1VzlEad1ivpUsKo/qMYN2icxSMzjAxR0DYYT7n8HdgLmACUikgf71US1u5ZEZke9v06ETlFRA4SkSOBP+IUzF0ZPYE04scmKy8pj54qOUaGTBobXbTmVJHAsWIZ9Zt3NHNEnyOYePREUy6GkSHycgSTBMcA/+V9/jCibiSwyPt8MPBxWN2ewN1AH2Aj8E/gBFV9PV2CZoO4U2oxMmTSo4dLBZAqYh3LS5U8sJcm5SlnGEZ6yUsjfy6Tq+H620UoBBUV0b3GFi6Ek+OtV03BscrLd9pgYqUcMKO+YUb+zFLQU2RGBykvh3nzotefeaZLbpaqY82f795LvVTIEamSE5rWMwwjYxT6FJnRUVaudNNhmwPWpaba0F9Z6TzTYqRKTsZTzjCM9GIKxugY9fXBygVSb+gHp0ziKCxLMmYYuYFNkRkdwze+B+EZ3w3DKExMwRgdo7raraYPoqjI1ecJfgiaKU9PYfZbswk1pTEkjmHkATZFZnQM38geLYRLqlbyZxnLK2MYyWNuyhkmr9yUw2loiGl878yEmkLm/pwnmJtyZrEpMqPDhJpCzP7wIab0+5DZZx1M6Lzv5I1ygcTyyhiG0RabIjM6RCFMHVleGcNoHzaCMdpNeFIyvwNu3NZIqNmVNzSnaJFllvEjSwdhIWgMIzqmYIx2k5apowQSimWaZJO1GYbhsCkyo92kfOooKKHY5MnpSV6WBH4ImmjJ2szAbxjBmIIx2k28pGRJTR0lkFAsm44DFoLGMJLHFIzRbhJKSpYoCSQUS1lMs3ZiIWgMIznMBmO0m5RGL85k8jLDMDKCjWCMDpGyqaMEEooZhtG5sJX8GSZvV/JHEGoKUbOkhvr19Qws3Z/qxVD+fx87RVJd7ULMtNogfkKxfFq8aWQHW8mfWWwEY6ScNosvm2GywvyHoHJ9FM+wAolpZhiFhI1gMky+j2Bixu1qgtW/hrJmoo9K8jimmZF9bASTWQreyC8ii0REI14PJbDdOBFZKiJN3vvpmZA314m5+BKoGex/8TzDIvETik2f7t5NuRhGp6XgFYzHPcB+Ya8fxGosIsOBGmAucKT3/oiIfDW9YuY+MRdfdoNlPf0v5hlmGPmO2WAcm1X10yTaTwKeV9WbvO83ichIr/zsFMvWqYi5+LIJBmzwvwR7hrVyDug1kOrB1ZR3K2/TzjCM3MdGMI7visg6EVkiIreISLwebTjw94iyhcBx6RGv8xAzbhdQvcT/0jbbZe3KWipmVjBpwSRmvDyDSQsmUTGzgtqVtekV2jCMtGAKBh4AzgVGAjcA44A/x9mmD/BZRNlnXnkbRORiEakTkbq1a9d2UNzcJnDxZbMz8M+fC2XFpbs8xsLsK4USmdkwCom8nCITkRuBq+M0G6mqi1T17rCyf4nIcuA1ETlaVd9KhTzeMe4G50WWin3mMm0WX5b2pXoxlJ2zKqpnWCKRmS1Mi2F0LvJSwQC3AffHabMySnkdsAMYCERTMJ8C+0aU7euVGwTE7Roeu30ikZnNPmMYnYu8VDCqug5Y187Nvwx0AdbEaPMKMBq4OaxsNPByO49Z8Oy/x/4x65t2NFExsyInMmeaojOMxMhLBZMoInIwzv4yH6eQBgG/Bv4JvBTW7lngdVW9yiuaBfxDRKYCfwFOx9lw8iNHcA5y5xt30rSjaed3f7RTNbeK1ZevzljY/EJIEW0YqaLQjfzNwCicB9gHwO0477CTVHVHWLuDcetjAFDVl4HvAhOAd4ELgGpVfS0zYucfH2/8OGZ9yjNntoNsOiKEmkLMfms2U56ewuy3ZhNqyn6mT8OIR0GPYFT1Y+DrCbTrH1A2D5iXBrEKkljrZ7pKV7a1bAvcrl2ZM9tJthwRbNRkdFYKfQRj5Aix1s90KeoSc9u+e/RNh0htSHmK6AQw922jM2MKxkgJHZ3CiZW87IfDfhh74ww5fvujrCCSThGdIImMmgwjVynoKTIjNaRqCida8rIbXrgh5narNq3q6CkkREpTRCdINkZNhpEqTMEYHSJ8CsfH7xBH/2k0yy9bzn7l+0XbvA1Bee9jxjdL08ghCH+UFalMi6Qo+RTRCZIr524Y7cGmyIwOEWsKZ+v2rRw468AOxxKLGd8sTSOHaPijrFljZjH1a1OZNWYWqy9fnTZjey6du2Eki41gjA4RawoH3ALJjq5VycbIIRZBo6x0kWvnbhjJYArG6BCxpnB8UuHCG80+UwgdbCGfu9G5MQVjdIhYhm+fVBmjMzlyyDUK+dyNzovZYIwO4U/hdO/aPWobM0YbRmFiCsboMJX9Kll+2XK6dekWWG/GaMMoTEzBGClhv/L9eOaCZwIXSpox2jAKE7PBGIG0JyS9GaMNwwhHVPM+wWJOMWzYMK2rq8u2GDEJWpnvu8VacEWjMyMib6rqsGzLUSjYFJnRCguuaBhGqjAFY7TCgisahpEqTMEYrbDgioZhpApTMEYrshGS3jCM/MQUjNEKC65oGEaqMAVjtCJW4i9bz2IYRjIU9DoYEekP/DtK9ZWqenOU7UYAzwdUHa6q76dEuCxi61kMw0gFBa1ggI+ByGxYpwN3APMS2H4wsCHs+9oUyZV1LLiiYRgdpaAVjKruAD4NLxORM4BnVDXayCacz1V1XVqEMwzD6OSYDSYMETkIGAXcneAmdSKyRkSeFZGRaRTNMAyj02EKpjUX4aa5/hqn3RrgR8A44AzgA+BZETk+qLGIXCwidSJSt3Zt3syiGYZhxCQvY5GJyI3A1XGajVTVRWHbdMXZZP6kqle245jzge2q+q1Y7TpDLDLDyFcsFllmyVcF0xvoHafZSlXdHLbN6cCjwKGq+mE7jnkd8F1VPTxOu7XAR8nuP8X0BnLVdmSytY9clS3X5DpAVffOthCFQl4qmPbgjUB6qOqIdm7/GLCHqp6YUsHSgIjU5epTnMnWPnJVtlyVy8gMBe1F5iMi/YBTgAui1N8HoKoXeN8nASuAJUAJcB5wGs4mYxiGYWAKxmcisBH4c5T6fhHfS4Cbgb7AFpyi+Yaqzk+bhIZhGJ0MmyIrQETkYlVN1BU7o5hs7SNXZctVuYzMYArGMAzDSAu2DsYwDMNIC6ZgDMMwjLRgCsYwDMNIC6ZgChgRWSQiW0WkwXt9kEVZeorIYyLSKCIficg52ZIlkly5TiJyqRdyqElE5kTUjRKR90Vks4g8LyIH5IJsItJfRDTs2jWIyDWZlM3IHqZgjEtVtcx7HZpFOe4AmoF9gXOB34nI4CzKE0kuXKfVwI3A/4YXepErHgWuAXoCdUBNLsgWxp5h1++GDMplZBFTMEbWEZFS3CLVa1S1QVVrgb8B52dXstxCVR9V1b8A6yOqzgCWqOojqroVmAYcISKH5YBsRgFjCsaYLiLrROQlL1NnNjgEFyg0PAbcO7iEbrlCLlynaAzGXS8AVLUR+D9y6/p9JCKrROQeb8RlFACmYAqbKcBBQAUuB87jInJwFuQoAzZFlG0EyrMgSxC5cp2iUYa7XuHkyvVbBxwLHAAcg5NpblYlMjKGKZg8xTNMa5RXLYCqvqaqIVVtUtV7gZeAqiyI2wDsHlG2OxDKgixtyKHrFI2cvX7elGedqm5X1c+AS4GTRSQXlJ+RZkzB5CmqOkJVJcqrMtpmgGRSTo8Pga4iMjCs7AhcjLdcJFvXKRpLcNcL2GnTOpjcvH5+6BDrewoA+5ELFBHZU0ROEZHuItJVRM4FTgAWZFoWz2bwKPALESkVka8B3wb+lGlZIsml6+QdvzvQBejiywQ8BgwRkXFe/bXAu6r6frZlE5GvisihIlIkIr2A24FFqho5pWfkIaZgCpdinFvpWtw8+U+A09qTbC1FXALsBnwOPAj8SFVz4Qk8l67Tz3HRu6fiUkRsAX6uqmtxXng3Af8Bvgp8Nxdkw9muFuCm6xYDTcDZGZbNyBIW7NIwDMNICzaCMQzDMNKCKRjDMAwjLZiCMQzDMNKCKRjDMAwjLZiCMQzDMNKCKRjDMAwjLZiCMQzDMNKCKRijYAiIybbDi5D8XKwEZyJymIj8RkQWi8hGEWkWkdUi8qSITBSRbhHtz/Tavygim7xj3Z/+MzSM3MIWWhoFg4j4N/v13nsxcBguLE0X4FZVnRyxzbXAdbiHsVdwybwacInRRuBWqr+pqsPCtnkbFxusAVjlHWOuqp6XjvMyjFzFFIxRMPgKRlUlonwU8LT39SBVXeGV/wwXfuVj4CxVfS1gn2OBy1V1ZFjZSJxiWQZ8HXgeUzBGAWJTZEbBo6rPAu/jIiQfCy6XPC4z5DagKki5eNs+AYyJKHteVevVnt6MAscUjGE4/FGNrxS+h5tC+7OqLo61oao2pVMww+ismIIxCh4ROQk4FKdc3vCK/Zw5z2ZFKMPIA7pmWwDDyDQiMs37WIxTLKfhRjC3qupHXt1+3vuqjApnGHmEKRijELnOe1fgC+BF4I+qaq7EhpFCTMEYBUekF1kU1gCHAxVpFscw8hazwRhGMLXe+6isSmEYnRhTMIYRzD04F+VxIjIoVsPIlfyGYThMwRhGAN5iy2lACfCkiAwLaiciY4CnMieZYXQezAZjGFFQ1V+KSFecU8AbIvIyrUPFnAAM9Mp2IiKn4TzTAPp478NFZI73eZ2qXpFW4Q0jB7BQMUbBEC1UTALbHQ5cAowE+gHdgfXA28A84P7wxZaeG/R1bXa0i49UtX8yMhhGZ8QUjGEYhpEWzAZjGIZhpAVTMIZhGEZaMAVjGIZhpAVTMIZhGEZaMAVjGIZhpAVTMIZhGEZaMAVjGIZhpAVTMIZhGEZaMAVjGIZhpIX/D1Fq2ACtDz56AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.figure(figsize=(4, 4))\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=14)\n",
    "plt.xlabel('PC1',fontsize=20)\n",
    "plt.ylabel('PC2',fontsize=20)\n",
    "plt.title(\"Principal Component Analysis(PLASMA)\",fontsize=20)\n",
    "targets = ['disease', 'control']\n",
    "colors = ['r', 'g']\n",
    "for target, color in zip(targets,colors):\n",
    "    indicesToKeep = pca2_plasma_df.Class == target\n",
    "    plt.scatter(pca2_plasma_df.loc[indicesToKeep, 'pc1']\n",
    "               , pca2_plasma_df.loc[indicesToKeep, 'pc2'], c = color, s = 50)\n",
    "\n",
    "plt.legend(targets,prop={'size': 10})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "sXliCThzzpBO"
   },
   "outputs": [],
   "source": [
    "pca3_plasma = pca_analysis(plasma, 3)\n",
    "\n",
    "pca3_plasma_df = make_dataframe(pca3_plasma, 3)\n",
    "# print(pca3_df.head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 510
    },
    "id": "Z0U0vdvJCmSj",
    "outputId": "4b1b710e-3bba-4d5c-f628-eb401315a9ec"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x576 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotting(pca3_plasma_df, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "id": "EYPgDQ9A0gx8"
   },
   "outputs": [],
   "source": [
    "pca4_plasma = pca_analysis(plasma, 4)\n",
    "\n",
    "pca4_plasma_df = make_dataframe(pca4_plasma, 4)\n",
    "# print(pca4_plasma_df.head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 510
    },
    "id": "k9JGmoWDH-iP",
    "outputId": "292d2af0-d150-417c-e3d5-24c86db26581"
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABR8AAAImCAYAAADaE/03AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAAD01klEQVR4nOzdeXxcdb3/8dcnezsTli5AKdQqiWBbRaHiVaMCBaFRQQEZAa8oBbwIXEt7ry2KghtUfoKigAq9SJFaRlkUIVBlE6JepbLdFoEExFLCUtoC07TNNt/fH2cmmU7ObMmsyfv5ePQxzZkzM98kM9+c8zmf7+djzjlERERERERERERE8q2q1AMQERERERERERGRsUnBRxERERERERERESkIBR9FRERERERERESkIBR8FBERERERERERkYJQ8FFEREREREREREQKQsFHERERERERERERKYiaUg9AREREREREREQE4JFHHjmqpqbmQufcXihprtxFzezl/v7+bx500EGrU+1kzrliDkpERERERERERGSYRx555Kj6+vorZ86c2TthwoQdVVVVClqVsWg0atu3b294/vnn63p6es5JFYBUBFlEREREREREREqupqbmwpkzZ/YGAoHtCjyWv6qqKhcIBLbPnDmzt6am5sKU+xVzUCIiIiIiIiIiIn6cc3tNmDBhR6nHIbmZMGHCjtgyeV8KPoqIiIyAmc00M2dm1xf5dZ83s+eL+Zqx1z009v1eVOzXFhkpM7s+9r6dWaTXK8nnU0REZAypUsZj5Yn9zlLGGBV8FBGRcSMWhEj8N2Bmr5nZfWZ2cqnHN1aZ2ZFmttLM/mlm28xsu5l1mtkvzGx+qccnnnwF6szsD7HnecHMqvM0PBERERGpUOp2LSIi49E3Y7e1wAHAscBhZjbXObcoy+d4EXgH8EYBxpfOvCK/3oiZWSNwA/BJYAdwH3Ar0Ae8FWgFPmtmlznn/qtU45T8MbO34b1HHbAPMB+4o6SDKq6K+XyKiIiIFIsyH0VEZNxxzl0U+/c159zxwFF4wZKF2WZ9Oef6nHNPOedeKuRYfV73Wefcs8V8zZEwsyrg13iBx/uB/ZxzH3POLXbOLXXOhYC9gYXAhJINVPLtDMCA78W+PrOEYym6Svl8ioiISPE9/PDDDWZ28B133NEIYGYHX3zxxVNLPa5iUPBRRETGPefcvcBTeEGT9wKY2UWxpaOHmtnJZvZXM9sar+eWquZj4tJVM/uimf2fme0ws1fM7Boz29VvDGa2j5n9yMw6YsuSN5vZ38zs60n7DaspZ2afj73m583sY2b2ZzPrNrMtZnazmTX7vN7bzWyZma0xs41m1mNm/4qNcZ+R/zQHnYQX1O0EPuGc60rewTnX45y7Atgp29TM6s1saexnt83M3jSzh8zsRJ/vY/D3YGb7xb7fTWYWMbPfm9mc2H5TY9/bS7Hfx8NmdpjP8yX+3k81s0djv49Xzew6M/MtpG1mzWZ2g5m9aGa9ZtYV+9rvZ5/4GifEfs/bYr/zm8xseorXmGRml5jZP2JjesPM7jWzj/rsm/ieOMzMHoj9TN40szvN7B1J+zvg1NiX/7Sh0gTP+40lxfhqgM8DbwLfAv4OtKb5fh6IvUaNmX019t7vMW+59vfMrM7nMZ80sxvN7JnYe7zbzP5uZv9pXsA70xgPiL3m/Wn2+T8z6zOzabGvLfZe+HPss7IjNsbVZhZKeqzf57MuNr5HYp/JbbH9fmtmR2Qas4iIiIxN99xzz1P//u//vqXU4ygGLbsWERHxWOw2ucD1YuBI4Hd4GXy+wUMfl+IF334H/B44DC8rrAk4fKcXNpsLrAYmAQ/iLU2eCMwCLgK+neVrHoe3zPU24AHg3cDxeEvKP+Ccezpp3/+IfU9/BnqB2cDpwCfMW4L+Ypav6yee8fZ951x3uh2dcz3x/8cCTquBj+AFhK/C+1mcAITN7N3Oua/6PM1M4K/AP4DrY19/CnjAzN4P3I0XFAvj/Zw/A9xlZm93zq33eb7zgI/G9r8baAG+ABxqZu9zzm1MGPN7gXuARuB24Em85fyfBY41syOccw/7vMaXgGNij/kj8D4gBBwY+z4Tfy5vwfudzgQeio0pAHwcuNvMvuicu9bnNT6OV1bgLuCneO+pVuC9ZjbLOfdabL9v4mWpHghcAbwe2/462TsG2Au41jm33bzA/I+B00j/Hv4l8KHYGN+Mje8rwB54P/NEy4Ao3u/6RbzP4+GxMb8X+Pd0A3TOPRULPB4W+90/k3i/mX0AmAPckpDV/F3gfOCfwK/wSi1Mi73ep/HeI+lcjxeMX4tXhmA7XtZvC3A03ntHRERExpl58+alPUYeS5T5KCIi414s+2h/vMBjcpDocOD9zrlPx5YLn5Xl0/4b8E7n3Gedc4uBQ/CCRoeZ2SEJr12Htzx5EnCKc+4jzrklzrlznXPzgLfk8K18AviUc+5E59xXnXOteMuaJwFXJ+37C2BP59ynnHP/6Zz7L+fcfLxgyB7ABTm87k5iGXD/Fvvy3hwfvhgv8HgX3s/vv51zZwPvBP4FnB8LECX7CPAD59yHYku7jwcuBCbjBar+ABzsnFvonPscsACoxwsy+pkPfMA593nn3PnOuQ8BP8SrVbks4Xs1vIDSLsC/O+c+GfvZH4cXcNoF+EWKrLyjgffGfl//7Zz7MLCKoTqkiVbgvRdOcs592Dl3nnPuTLxg4hPAj8xsT5/X+CRwtHPumNhrfCw2/ql4QUHAK0UAPBb78ocJpQl+mOLn4ycecP557PaXeEHtBRmyEvcDZjvnTnPOLQTeAzwLfM4n0/RjzrlZzrl/T/g8vgPvd/BZM3tfFuOMfxb8loTHt/0sYdsX8QKdc5xzZ8d+v19wzs3BC+CnZF6m82fwskDf7Zz7cmzcn3POvQ24JIvxioiIyEhs2VLF5ZdP4ayzpnP55VPYsqWoMbBly5ZN3Wuvvd41YcKE9xx++OFNGzZs2GlVhyUtu169enXw4IMP3j8YDL4nGAy+54ADDph13XXX7Z74mMsvv3xKU1PT7Lq6uoP23nvvd15wwQU7Hf/dc889gcMPP7xp6tSp75owYcJ7DjjggFk/+clPJiXu89prr1WHQqG37LHHHu+qr68/aNq0ae/8zGc+s9M5x8MPP9xw6KGHNgUCgfcEAoH3zJ8//23r168fcQKjgo8iIjLuxJa9XmRm3zWzm/GyyAwv6PKvpN2vcc49OoKX+VZiRp1zrp+hoMwhCft9Ai+b7Xbn3C+Tn8Q5tyGH17zPOZfc3ONKvEDO4bHsufjzvpiYWZew/ffAOryszZGaBMQPrnIZP3gBMQcsiv3M4uN6laHsudN9Hvc8CUHBmBWx23rgv51z0YT7fgn042WH+vmFz+/9Iryst5PNrD627QN4wcK/OOdWJu7snAsD7XiB7Raf1/iRc+7/krbFsxcTA9QH4gVXb3HO3ZT0Gq/jBVkb8LJck90UKyuQ6Jrk1xit2HvrSOBp59xfYmPbjJf5+xbSv5+WxPYl9rhuYCXecercxB396inGfq9XxL7M5n37G+Al4PMJv0fMbDfgRLzPS3I2Yh8w4PParyVvS94Fb27pwcvYTH78pizGKyIiIrlavTrIPvscyAUX7MtPf7oXF1ywL/vscyCrVweL8fI33njjbueff/6MefPmvX7jjTc+O2vWrO1nnXXWzFT7b968ueqEE05oestb3tLzi1/84tkbbrjh2VAotGnLli3V8X2+/vWv7/mVr3xlxvz5818Ph8Odn//85zdeeuml0xMDmM8991zd+9///q1XXnnlv8LhcOcnPvGJLf/5n/8582c/+9lgAPKss87a929/+1vwu9/97gu33nrrM1//+tdf9K6ne9auXVt/+OGHH9DT01P1s5/97J9XXXXVP5955pkJra2tzdHosMOZrGjZtYiIjEcXxm4d3rLSh4D/cc7d6LPv30b4Gmt8tr0Qu028ghnPELxrhK+T6I/JG5xzA2bWjpdd9h687MF4xt4peDX6DoyNqTrhob15GE9OzOuO3QS86Jx7ymeX+2K37/G57zHnXHJwKF5n8hnnXCTxjtjP5RW8jsx+/H6Wb5jZY3iBwHfgZQoelDQ2vzG3xMb8YNJ92b5H3h+73dXMLvJ5TPyA8x0+92X7GqN1Ol6w8Pqk7dfjBUXPIPV7POsxmtlk4L/xlma/DW/peSLf+pKJnHP9ZnYt8I3Y2OJB/3/Ha350jXMusfzCSuBc4Ekz+xXee+MvzrmMne6dc2+a2e/wLjI8Zma34M03f3XObcv0eBERERmBLVuqOO64ZrZtG0q4277d+/9xxzXT1fU4u+46sihalr73ve9N+9CHPvTmypUr1wMcf/zxb7722ms14XB4it/+a9eubdi6dWv1//zP/6zffffdo95Qj3szfv/mzZurLrvssr2//OUvv3TZZZe9BPCpT33qzW3btlVdfvnle3/lK1/ZWFNTw5lnnjlYQzIajTJ//vzIiy++WPfzn/98yhe/+MXNAI899ljg9NNP33jGGWcM7vulL31p8ELwBRdcsPfkyZP777///o6GhgYHcPDBB29/97vfPedXv/rVrp/5zGcyHgMlU+ajiIiMO845i/2rcs5Ncs4dliLwCPDyCF/mdZ9t8Uy+xCDfbrHb0dRXjHslxfb495BYr/JyvKXXs/BqLF6GV/fvm3gBymHNPnKwmaHgZcZgUIL4+FJ1EI9v383nvmEHQQmZk6kOkPqB2hT3ZfuzHM2YX08xJtj5PTI5dnskXuA8+d+XYvf7Xckf9hoJP5fq5PtGwsyq8TJWo3jvqUR34/3MPuGzhDo+nmFjxOfnEMtMfBhYglc38Qa8eozfZCjzsZ7sXIOXyfjFhG1n4r1vf56073mxf1uBpXhB1NdiDWOasnitUGyME2K39wGbzOwXKZbKi4iIyGj8/OeT2Ok6YgLn4LrrJvnfmR99fX384x//mPjxj3/89cTtxx13XMrmMu94xzt6Jk6cGD3++OPfduONN+722muv7XScdv/99we3b99edfLJJ2/p6+sj/u+II46IbNq0qea5556rA9i4cWP15z//+X333nvvd9bV1R1cV1d38KpVq6b885//bIg/16xZs7ZdeeWVey5btmzqE088MezY6U9/+lNja2vrlurqahd/nQMOOKBn77337nn44YcnjuRnouCjiIhIeimOXPLm9dhtLkG6VFIFMuJBnzcAzGwP4D/xGmDsH6tLuSRe5w9vieiIxYJb/xv7cl4OD40HCX2DVHhNPhL3K6SsfpYUZ8zxx345IXDu9y+5OUuxfByvgUoVsCGhU7bDW668F95qm9PSPEc2TseruflN59z7nHNfcs5dEHvPZmr6shPnNVO6HfhwrAN2vNHMbS6hmVBs3wHn3A+dcwfivS+Ox2vqdAxes5+0AU/n3PbYZ+vtwAy8RkTtsdubcxm3iIiIZKGjo34w0zHZ9u1VdHZme7FyRF566aWagYEB9txzz77E7dOmTetP9ZipU6cO3H777c/09fXZaaed9ra99trrwEMPPbTpySefrAN49dVXawDmzp07Ox5UrKurO/gTn/jE2wH++c9/1gF85jOfmfm73/1u0jnnnPPyrbfe+swf//jHf3z6059+rbe3d3Bd9f/8z/+sP+qoo17//ve/v/eBBx445y1vecuca665ZnC1yZYtW2p+8pOf7JX4OnV1dQdv2LChPrluZba07FpERKS04kG6+XjdiEfjI8kbYllp8XqD8RqGb8MLFP0+eTmyme0Tu3+0rgE+DPyXmd2YbompmdU753qccxEzexZ4m5k1O+c6knY9LHb7SB7Gl8lH8DLrEse5K16NyB14XbVh6Gd6aIrnyceY4++RDwE/GsXzZBJftp5rRuQZsds78M8YrcZb3r/AzC5JWtKci3iW4S0+9w1772fharyO6F9kaHn3z1LvPlh79FbgVjO7F68h1Ry8hjIZOedeAFaa2SrgaaDFzCar9qOIiEgeNTf3MGFC1DcAOWFClKamUV1oz2TatGn91dXVvPLKKzutsHnppZfSxuDmzZvXPW/evI6tW7fa7bffvsv555+/70knnfS2xx9//KnJkyf3A6xatapz77337kt+7Dvf+c4d27ZtswceeGC3Sy65ZP1XvvKVwYupP/rRjyxx3ylTpgxcf/31LwAv/PWvf51w8cUX73XWWWe97eCDD1538MEH79h1110HjjrqqC3/8R//May29Z577pkygJqOMh9FRERK63d4zVKOMbOTku+MBQOzdbiZfTxp2zl49R7vT2im83zstiUWnIy/VhCv4Uk+Lk6uwlvO3Qz81symJe9gZnVmdjbeku+46/AadPy/pLFNAb6esE+h/buZJdeWvAhvmfWqhGY9f2IoiHRC4s6xrz8EPIOX6TYizrk1eHUCjzMz3+xBM3tnLKN1NOIBsBnZPsDM9sXr2r0F+LRz7nSff1/A+/7fBhwxivE9H7s9NGkM7wHOH8Hz3Yv3uzkVr9HM0865+5Oeu97MPpj8QDOrxWusBJAusD7VzN7pc1cAb5l8PyWoryoiIjKmfeELmzHzv88MTjtts/+d+VFbW8sBBxyw7Y477tgtcfutt96aVb3tYDDoTj755DdOPvnk15599tkJAIcffnh3Q0ND9MUXX6z98Ic/vC353+677x7dvn17VTQapb6+frCe5ZYtW6ruueee3VK91vve977tP/rRjzZEo1HWrl3bAPCBD3zgzaeffnpCS0vLsNfZf//9R3TcosxHERGREnLO9ZrZp4HfA780sy/iZbo14DUQmUf2f69/B9xmZrcBnXhZevPxajDG6wLinHvZzG4CPoPXBOP3eEG1I/Gy+h4jdRfobL+vaOz7+gVwLPBcLFPsH3gZdjPxssamAt9PeOj3Y2M+FnjczNqAicCngT2AS51zIw7k5eAu4E+xBiMv4WWPtuAFwJbGd3LOOTM7FfgDEDaz3wJP4XW4/iQQAT6X1Gl7JE7GqxX4P2b2n8Bf8Zbs7wO8Cy/77v3Aq6N4jXvxmrlcG2uMEgFed85dmeYxC/AyG290zu1Is99yvJ/fmXg/q5G4ITa+H5rZYUAHXnD743jZiKFcniz2u/spXv1TGOoCnmgC0G5mnXjZjf/C+2weiff5vN059w+fx8VNBx41s/8DnsBrpLNLbMx74XU8j6R5vIiIiORq992j3HprB8cd14xz3lLrCROimMGtt3YUutkMwFe+8pWXTj311P1OOeWUGccff/zr999/f+MDDzywa6r9b7rppl1//vOfTznmmGO2zJw5s/eFF16ou+GGG6b+27/925vgZSsuXry464ILLtj3X//6V92hhx66NRqN8tRTTzX88Y9/bPzDH/7w7OTJkwfmzJmz7dJLL9171113HaiqquL73//+XsFgcKC7u3sw+fDggw/e/+Mf//jr73rXu7abGddee+2UCRMmRFtaWroBvvvd73Z98IMffMdhhx3W9PnPf37T1KlT+1944YXae+65Z5cvfOELmz7+8Y/nfOyi4KOIiEiJOefWmNm78YJa84EP4AV+OvE68mbrVrwAyteAj+HV27sVON8590zSvguA5/ACNmcDG/Fq4H0D/2WtOYsFVT5pZh/FW3b7frxgquF1or4HuME5d3fCY3rN7EhgEV7A7Vy87LDHgYXOuVX5GFsWfoBX128h3s9oK17n5q/Glt4Ocs791czeC1yAl9n3CeA1vOzPbzvnnh7tYJxzG8zsYLyfx/F4ncqr8Zq5PAn8GPi/Ub7GajNbjLeMeiFe06F/Ab7BRzOrYqiO4/IMT/9rvKYwx5rZHsk/wyzH12VmHwKW4QUyj8IL9H4J772UU/Ax5nq8gHcvsMLn/m68BjeH4X0uP4n32XwWOIvMWbjP4zUFOjT2HFPwLgY8jfd5v2kEYxYREZFMjjpqK11dj3PddZPo7KynqamH007bXIzAI8DnPve51zds2LD+iiuumHbrrbdOPuSQQyJXX33188cff3yz3/7veMc7dpiZ+/a3v73P5s2ba3bffff+efPmvf6DH/xgsCnld77znVf23nvvvquuumrPa665Zq+6urrozJkzdyQ2slm1atVzZ5xxxlvOOuust+622279CxYseHXbtm3VP//5z6fG95k7d273qlWrJn//+9+vr6qqcrNmzdp26623duy33359AO9617t6HnzwwafOP//8vRcuXPiWnp6eqj322KO3paUl8o53vCPdxeaUbORld0RERKQcmNnn8Tr0fsE5d31pR1PZzOwivGDRYc65B0o7Gik0MzsUuB8vc/PfSzsaERERefzxx58/8MADh9UalPL3+OOPTznwwANn+t2nmo8iIiIiMl59JXabbmm5iIiIiIyCll2LiIiIyLgRawDzceBgvDIHdzjn/lraUYmIiIiMXQo+ioiIiMh4cjBwMfAmXi3KL6XfXURERERGQ8uuRUREKpxz7nrnnKne4+g55y6K/SwfKPVYpDASPi+7OudOdM6prpSIiIhIASn4KCIiIiIiIiIiIgWh4KOIiIiIiIiIiIgUhIKPIiIiIiIiIiIiUhAKPoqIiIiIiIiIiEhBKPgoIiIiIiIiIiIiBaHgo4iIiIiIiIiISIW59dZbd/nWt761Rz6fc9GiRXvvvvvuB+bzORV8FBERERERERERqTB33333Lj/72c/2LPU4MlHwUUREREREREREZIzq7+9nx44dVqrXV/BRRERERERERETGlC07tlRd/pfLp5x1x1nTL//L5VO27NhS1BjYXXfdFXzf+9739okTJ76nsbHx3Ycccsj+f/rTnyYA/PnPf57w/ve//+0TJkx4zy677PLuY4455q0vvPBCTfyxTz/9dJ2ZHbx8+fLdTz755Lc0Nja+e88993zXeeedt/fAwADgLY++9tpr9+zq6qozs4PN7ODjjz9+JsDxxx8/c86cOe/4xS9+sVtTU9PshoaGgx544IEAwMUXXzz1LW95y5y6urqDZsyYMeeb3/xmXpdt+6nJvIuIiIiIiIiIiEhlWN25Onjcr45rds6xvX971YSaCdGv3//1fW898daOo5qO2lro17/jjjsaP/nJTza/733vi1x99dX/DAaD0Yceeii4fv36ure+9a19Rx111P777bffjmuuueafkUik6pvf/OY+8+bNe/sTTzzxj4aGBhd/ngsvvHCf1tbWLTfccMNzf/jDHxp/+MMfTps9e/b2008/fcvZZ5+9sbOzs/4vf/lL40033fQswF577dUff+yLL75Y9/Wvf32fr3zlK1177713X3Nzc89ll1025Wtf+9qM008//ZX58+e/ee+99zZ+85vf3Lenp6fq4osvfrlQPw8FH0VEREREREREZEzYsmNL1XG/Oq55W9+2wUzH7f3bqwCO+9VxzV2Luh7ftWHXaCHHcMEFF0w/4IADtj/00EMdVVXeME444YQ3Ab70pS9NB7jvvvuemTRpUhTggAMO6Jk3b94BK1as2P2LX/zi5vjzHHLIIZFrr712A8CnPvWpN++7775df/Ob3+x++umnb9lvv/369tprr766ujo3b9687uQxvP766zV33nnnMx/4wAe2AwwMDPC9731v7+OPP35T/DmPO+64N994443qH//4x3tdcMEFr0ycONElP08+aNm1iIiIiIiIiIiMCT9/9OeTnPOPoTnnuO7R6yYV8vXffPPNqieeeCJw0kknbYoHHhM98sgjgQ996ENvxgOPAIcffnj33nvv3dve3h5M3PfII498M/Hr5ubm7S+99FJtNuPYY489+uKBR4DnnnuubuPGjbWf/vSntyTud9JJJ23eunVr9cMPPzwhy28xZwo+ioiIiIiIiIjImNCxqaM+numYbHv/9qrOzZ31hXz9jRs3Vjvn2Hvvvfv87n/11Vdrp06dOuy+KVOm9L3++uvVidt23333gcSv6+rqXE9PT1axvClTpuz0Gi+88EItMGxce++9dz/Aa6+9VrDV0Qo+ioiIiIiIiIjImNA8ublnQs0E32XVE2omRJsmNfUU8vWnTp06UFVVRVdXl2+G4h577NH32muvDbvvtddeq91tt90G/B4zEmY7N7fed999+wBeeumlnYKMXV1dNQBTpkzpp0AUfBQRERERERERkTHhC+/5wubkwFucmXHae07b7Htnnuyyyy7Rd73rXd2rVq2aHI0Oj4EefPDB3Q8++OAuW7YMdd/+4x//OLGrq6uupaUlp2Y4uWRCvu1tb+udOnVq369//eudlp3fdNNNk4LB4MB73/ve7akeO1oKPoqIiIiIiIiIyJiwe8Pu0VtPvLVjYu3EaDwDckLNhOjE2onRW0+8taPQzWYALr744g1PP/30hI985CPNK1as2O2WW27ZZdGiRXuvWrVq16997WuvABx++OFvv/HGG3f7yU9+MikUCjU1NzdvP/XUU7dkeu5EBxxwwI5NmzbV/OhHP5r84IMPTnz66afrUu1bXV3NkiVLum655ZbJX/ziF/e59dZbdzn33HOnr1y5cuq55577cqGazYC6XYuIiIiIiIiIyBhyVNNRW7sWdT1+3aPXTerc3FnfNKmp57T3nLa5GIFHgPnz52/9zW9+88yFF144/T/+4z/eWlNT42bNmrXthBNO2LL33nv333333U8vXrx43zPOOOOtNTU17tBDD33j6quvfqGhoSGnAOBpp522+YEHHmi86KKL9tmyZUvNcccdt+mWW255PtX+ixcvfm3Hjh1VP/vZz/a47rrr9thzzz37LrzwwhcuvPDCV0f9TadhqToAiYiIiIiIiIiIFMvjjz/+/IEHHvhaqcchuXv88cenHHjggTP97tOyaxERERERERERESkIBR9FRERERERERESkIBR8FBERERERERERkYJQ8FFEREREREREREQKQsFHEREREREREREpB9FoNGqlHoTkJvY7S9lJXMFHEREREREREREpOTN7efv27Q2lHofkZvv27Q1m9nKq+xV8FBERERERERGRkuvv7//m888/X9fd3T1BGZDlLxqNWnd394Tnn3++rr+//5up9jPnXDHHJSIiIiIiIiIi4uuRRx45qqam5kLn3F4oaa7cRc3s5f7+/m8edNBBq1PtpOCjiIiIiIiIiIiIFIQiyCIiIiIiIiIiIlIQCj6KiIiIiIiIiIhIQSj4KCIiIiIiIiIiIgWh4KOIiIiIiIiIiIgUhIKPIiIiIiIiIiIiUhAKPoqIiIiIiIiIiEhBKPgoIiIiIiIiIiIiBaHgo4iIiIiIiABgZteZ2atmtjbF/WZmPzKzTjN7wswOKvYYRUSksij4KCIiIiIiInHXA0enuX8+0Bz7dybwkyKMSUREKpiCjyIiIiIiIgKAc+5BYHOaXY4FbnCe/wV2M7NpxRmdiIhUoppSDyDfpkyZ4mbOnFnqYYjIKP39739/zTk3tdTjGCnNRSJjg+YiESkHZTYXTQdeSPh6Q2zbS4k7mdmZeJmRBAKBgw844ICiDVBECqPM5iKpIGURfDSz64CPA6865+bEtk0CwsBM4HngROfclkzPNXPmTNasWVO4wYpIUZjZv0o9htHQXCQyNmguEpFyUIlzkXPuGuAagLlz5zrNRSKVrxLnIikPZRF8xKsrciVwQ8K2pcC9zrllZrY09vWSEoytMkQiEA5DRwc0N0MoBI2NpR6ViIx1mntEZByK9EQIrwvTsamD5snNhGaHaKzX3CfjxovAvglf7xPbJiIi4qssgo/OuQfNbGbS5mOBQ2P/XwE8gIKP/trbobUVolHo7oZAABYtgrY2aGkp9ehEZKzS3CMi41D7+nZaV7YSdVG6+7oJ1AZYtHoRbae00TJDc5+MC7cD55jZTcD7gDeccy9leIyIiIxjZRF8TGHPhD9iLwN7ptoxsZ7IjBkzijC0MhKJeCf/kcjQtu5u77a1Fbq6IBgszdhEZOzS3CMi41CkJ0LrylYivUNzX3efN/e1rmyla3EXwTrNfVLZzGwVXhLIFDPbAFwI1AI4534KtAGtQCewDfhCaUYqIiKVoiK6XTvnHODS3H+Nc26uc27u1KnjrPZpOOxlHfmJRr37RSRrZnadmb1qZmsTtk0ysz+YWUfsdvdSjrHoIhFYvhyWLPFu40utNfeIyDgTXhcm6vznvqiLEl6ruU8qn3PuJOfcNOdcrXNuH+fc/zjnfhoLPBLrcn22c24/59w7nXMq5igiImmVc/DxFTObBhC7fbXE4ylPHR1D2UbJuruhs7O44xGpfNcDRydti9egbQbujX09PrS3w/TpsHAhXHqpdzt9Otx/v+YeERl3OjZ1DGY6Juvu66Zzs+Y+ERERkWTlHHy8HTg19v9Tgd+WcCzlq7nZq7PmJxCApqbijkekwjnnHgQ2J20+Fq/2LLHbTxZzTCWTuLQ6Hmjs7va+vuUWzT0iMu40T24mUOs/9wVqAzRN0twnIiIikqwsgo+xuiJ/AfY3sw1mtgBYBhxpZh3AEbGvJVkoBFUpfo1VVd79IjJaWdWgNbMzzWyNma3ZuHFj8UZXKOmWVldXw8CA/32ae0RkjArNDlFl/sddVVZFaI7mPhEREZFkZRF8TFFXZJNzbp5zrtk5d4RzLjkTSQAaG73Oso2NQ1lIgcDQdjV8EMmrdDVox1z92XRlHbZtg+OP19wjIuNKY30jbae00VjXOJgBGagN0FjnbVezGREREZHhyrnbtWSrpcXrLBsOe3XWmpq8rCOd/IvkyytmNs0599K4qkEbL+vgF4AMBOCww+CnP9XcIyLjSsuMFroWdxFeG6ZzcydNk5oIzQkp8CgiIiKSgoKPIxHv9NrR4Z2ch0Jetk8pBYOwYEFpxyAydsVr0C5jPNWgDYVg0SL/++JLqws195TjPCsiEhOsC7LgIB13iYiIiGRDwcdctbd7DRiiUS8bKBDwTs7b2rwMRBGpaLEatIcCU8xsA3AhXtDxV7F6tP8CTizdCIsovoQ6ec6rqirs0mrNsyKY2XXAx4FXnXNzYtsmAWFgJvA8cKJzbkupxigiIiIikg0FH3OR2Pk1Lr4csbXVW/qs5YYiFc05d1KKu+YVdSDlothlHTTPisRdD1wJ3JCwbSlwr3NumZktjX29pARjExERERHJWlk0nKkY6Tq/RqPe/SIiY018afUll3i3hQz+aZ4VAcA59yCQ3GzvWGBF7P8rgE8Wc0wiIiIiIiOh4GMu0nV+7e72soJERGTkNM+KpLOnc+6l2P9fBvb028nMzjSzNWa2ZuPGjcUbnYiIiIiIDy27zkWmzq9NTcUfk4hIORlto5hM8+w++8Dy5WpEI+Oec86ZmUtx3zXANQBz58713UdEREREpFgUfMxFNp1fRUTGq3w0ikk3zzoHS5d6t2pEI+PTK2Y2zTn3kplNA14t9YBERERERDLRsutcxDu/NjZ6J73g3ca3qwmCiIxXiY1i4lmL3d1D27duze55Us2zwaAXdNy6dXTPL1LZbgdOjf3/VOC3JRyLiIiIiEhWlPmYq2J3fhURqQTZNIpZsCC75/KbZ7dv97Ie8/H8IhXAzFYBhwJTzGwDcCGwDPiVmS0A/gWcWLoRioiIiIhkR8HHkYh3fhUREU++G8Ukz7NLlqgRjYwrzrmTUtw1r6gDEREREREZJS27FhGR0Ys3ivGTj4ZchX5+ERERERERKQgFHyU7kYjXYXbJEu82Ein1iESknIRCXuMtP/loyFXo5xcR8RHpibD8keUs+cMSlj+ynEhP+uOfXPcXKUdmdrSZPW1mnWY2rOaJmc0ws/vN7FEze8LMWksxThERqRxadi2Z5aODrYiMbfFGMclzRVVVfhpyFfr5RUSStK9vp3VlK1EXpbuvm0BtgEWrF9F2ShstM4Yf/+S6v0g5MrNq4CrgSGAD8LCZ3e6cezJhtwuAXznnfmJms4A2YGbRBysiIhVDwUdJL7GDbVy87lprq9cUQif9IgKFb8ilhl8iUiSRngitK1uJ9A4d/3T3ecc/rStb6VrcRbAuOOL9RcrYIUCnc+45ADO7CTgWSAw+OmCX2P93BbqKOkIREak44zP4GIl4J68dHV4dsVDIy6qR4fLZwVY/d5Gxr9ANudTwS0SKILwuTNT5H/9EXZTw2jALDlow4v1Fyth04IWErzcA70va5yLg92Z2LhAAjijO0EREpFKNv+CjlhDnJl8dbPVzFxERkQrRsaljMHMxWXdfN52bO0e1v0iFOwm43jl3mZm9H/iFmc1xbucIvJmdCZwJMGPGjBIMU0REysX4ajiTuIQ4HlDr7h7avnVraceXL/lsDpOPDrPj5ecuIiIiY0Lz5GYCtf7HP4HaAE2Tmka1v0gZexHYN+HrfWLbEi0AfgXgnPsL0ABMSX4i59w1zrm5zrm5U6dOLdBwRUSkEoyv4GM2S4grXXs7TJ8OCxfCpZd6t9One9tHIh8dZivt567O3iIiIuNaaHaIKvM//qmyKkJzQqPaX6SMPQw0m9lbzawO+Axwe9I+64F5AGb2Drzg48aijlJERCrK+Ao+5msJcbkqRIZhvMNsY+NQBmQgMLQ9m0YPlfRzz3fwVkRERCpOY30jbae00VjXOJjRGKgN0FjnbU9uHpPr/iLlyjnXD5wDrAb+gdfVep2ZfcvMjontthg4w8weB1YBn3fOudKMWEREKsH4qvkYX0LsFwjLdglxOctnc5hEo+0wWyk/d3X2FhERkZiWGS10Le4ivDZM5+ZOmiY1EZoTShlIzHV/kXLlnGsD2pK2fSPh/08CHyz2uEREpHKNr+BjKOQ1OfGT7RLiclbIDMPRdJitlJ97oYK3IiIiUpGCdcHMXaojEe8YoaODYHMzC0Ihb4WIiIiIiADjbdl1PpYQl7N8NIcphEr5uVfS8nAREREpPZVrEREREclofGU+wuiXEJezcs4wrISfe6UsD69ECVkhNDd7v3tlhYiISCVTuRYRERGRrIy/4COMbglxOYtnEra2esuEu7u9oFlVVXlkGJb7z72cg7eVrL19+Hty0SLvPdnSUurRiYiIjIzKtYiIiIhkZXwGH8eySsgwLFflHrytRMoKERGRsUrlWkRERESyUvbBRzN7HogAA0C/c25uaUdUAco9w7CcKXibX8oKERGRsUrlWkRERESyUvbBx5jDnHOvlXoQUgDlWAtQwdv8UVaIiIiMVVmWa4n0RAivC9OxqYPmyc2EZodorM/PsU4hn1tEREQkXyol+ChjkWoBjn3KChERkbEqi3It7evbaV3ZStRF6e7rJlAbYNHqRbSd0kbLjNEd6xTyuUVERETyqRKCjw74vZk54GfOuWuSdzCzM4EzAWbMmFHk4Y1QPONv3TrYvBl23x3mzMk+868cMwYTZLwSr1qA44Oa+IiIyFiWplxLpCdC68pWIr1Dxzrdfd6xTuvKVroWdxGsG9mxTiGfW0RERCTfKiH42OKce9HM9gD+YGZPOeceTNwhFpC8BmDu3LmuFIPMSTzjr68PduwY2t7QkF3mX5lnDGZ1JV61AMeHMdbERzVoRURkmBTlWsLrwkSd/7HO9r7tnH3n2VzZeuWIlkmne+6oixJeG2bBQTqOEhERkfJQVeoBZOKcezF2+ypwG3BIaUc0SokZf4mBR/C+jt+/dWvmx8czBbu7Mz+uSBKvxMevwHf3dRPp9bZv7Y2NT7UAx494VsgVV8DSpd5tV1dZBMpH6DDn3LsVeBQRkXQ6NnUMHgsl63f9rFq7iumXT6d9fXten7u7r5vOzTqOEhERkfJR1sFHMwuYWWP8/8BHgbWlHdUopcv4i4tn/uX6+HSPK5JsrsQDQ7UA/agW4NgTzwq55BLvtsIyHmUUIhFYvhyWLPFuE0stiIiMYc2TmwnUpjjWAfqifcMvzubhuQO1AZom6ThKREREykdZBx+BPYF2M3sc+Btwp3Pu7hKPaXTSZfzFpcv8K/OMwayvxIdC3tJbP6oFKOUrXoP277Fas5JOeztMnw4LF8Kll3q306d720VExrjQ7BBVlvlQe6eLs3l47iqrIjRHx1EiIiJSPso6+Oice845d2Ds32zn3HdLPaZRS5fxF5cu86/MMwazvhIfrwXY2Dj0/QQCQ9uVGSflqcU5dxAwHzjbzD6ceKeZnWlma8xszcaNG0szwnJR5iUiRCqZmT1vZv9nZo+Z2ZpSj0f8NdY30nZKG411jdRY6jLrI1kmnfjc8eOuQG2Axjpvu5rNiIiISDkp6+BjxUq3zDBdxl9cusy/Ms8YzOlK/NirBShjXKYatM65a5xzc51zc6dOnVr8AZbTEucyLxEhMgao/mwFaJnRQtfiLk5+58nUVtX67jPSZdLx577i6CtY+sGlXHH0FXQt7hpq7iciIiJSJiqh23VlydSJOrH7r1+369ra9Jl/Zd49OH4lPrnbdZVV+V+JT9EhUqTcxOrOVjnnIgk1aL9V4mENyTT3FFuZl4gQESmWYF2QK1uv5LanbqOvt2/Y/aNZJh2sC6qrtYiIiJQ9BR/zKXGZYVz85Lu11cvqCwaHMv7CYXjySdi0CSZPhlmzvMzFTAHExMd3dnpLrX0eF+mJEF4XpmNTB82TmwnNDtFY35jnb9pneLEr8eG1YTo3d9I0qYnQnJCWAEml2xO4zczAmzt/WTY1aLOZe5zz5oyODq98QyjkXcwolHiJCL8AZBmUiBCpcPH6sw74mXPumlIPSNLL+eKsiIiIyBii4GM+ZbPMMJ7lN9qMvwyPb1/fPuwAd9HqRbSd0laU5Ti6Ei9jjXPuOeDAUo/DV6a55zvfgauvLm5WZCjkvYafMigRIVLhWpxzL5rZHsAfzOwp59yD8TtjDbHOBJgxY0apxihJdHFWKoWZHQ1cAVQDy51zy3z2ORG4CO9iyOPOuZOLOkgREakoCj7mU5ksM4z0RGhd2UqkdygLKt6BunVlK12Lu3SgK2OWmU0CBpxzb5R6LEWTae65/HKvzEPiNtg5IzvfyrxExFhRqgx3yczMLgf+4pz7db6fO7H+rJnF688+mHD/NcA1AHPnznX5fn0ZOV2clXJnZtXAVcCRwAbgYTO73Tn3ZMI+zcD5wAedc1tiF0JERERSyin4aGafAg4F+oG7nXN/SLHfqcCpzrnDRz3CSpLnZYYjPakMrwsTdf5ZUFEXJbw2rANfqVhmNh3vgLcZeBz4nnNuk5m9G7gBmB3b70/Amc65p0o11qJJN/fU13tLrv0kZ2TnW5YlImRkSp3hLhktBIJAXoOPZV9/VkQq3SFAZ2zFB2Z2E3As8GTCPmcAVznntsBgIz4REZGUsgo+mlfkLAwcD1hs80IzuxP4nHPu9aSHzAQ+kqcxlrdIZKiO2r77gpn/fjkuMxzNSWXHpo7BTMdk3X3ddG5WowepTLGsxv8Fpsc2HQkcYWZHAXcCk/ECknsDLcA9ZjbHZ44aW9ItcXYOenv97ytGRraaShWEMtxLy8xOy3LX/RP3dc5dl4eXL9/6syIyFkwHXkj4egPwvqR93g6DF3qrgYv85iGVgBARkbhsMx+/AJyA94fop0AfcCrwcaDdzA4fl1e8/LrLOgcTJnjBxhEuMxztSWXz5GYCtQHfAGSgdiJNk8ZYo4fEAHAxGmlIKZ2Dd1B8MfAr4Bi8jJ/rgQjwfufcegAz+y5ehuS5wLdLMdiiSbfE+ayz4Kqr1PhljFGGe8ktx6tzlo7DuwjSgnfh1gGjDj6Wdf1ZKTiVWpAyUYO3AuVQYB/gQTN7Z/LFXpWAEBGRuFyCj68D740HGc3sB8D3gEV42UWHO+deK8goy1G67rLBICxbBhs2jGiZ4WhPKkOzQyxa7Z8FVbV1G6E39816LGXPLwBc6EYaUkqfBB52zl0Q+/oJM/socDRwXDzwGHMBEMK7SDK2g4+Qeomzc/CTn/g/ptIbv4zjCw/KcC8LW/EuyG7zuc+AbwCPAL8r5qBk7FKpBSmSF4HEk4V9YtsSbQD+6pzrA/5pZs/gBSMfLs4QRUSk0mQbfHwncHNidqNzbgD4LzNbD/wQLwB5WLz2x5iXrrusc9DQAJdcMqKnHu1JZWN9I22fupnWG44iCnTXQ6AHqoC2lRC88oSUTSZyvaJe0ivw6QLAhWykIaX0FuDGpG1rgA8Cf07c6JxzZvZH4Lgija30Ui1xHouNX/J94aHCApnpM9wDYy/Dvfx8Dvgx3vzyBedce/IOZvYN4BHn3DeLPTgZe1RqQYroYaDZzN6KF3T8DJDcyfo3wEnAz81sCt4y7OeKOUgREaks2QYf64BX/O5wzv3IzKLAj4A/mNkR+RpcWStgZ+vmwL4EqKebnmH3ZXtS2dK+nq6fTCT81m10ToKmzRBaB8FeIODfZCLXK+olvwKfLgBc6EYaUioTgOQP3hsAzrmNPvu/AgQKPaiyl6/GL+USoMv3hYcKzKBOm+FuVYTmVHBGawVwzt0Yu7jxc+ABM/sh8DXn3PA/3CJ5oFILUizOuX4zOwdYjVfP8Trn3Doz+xawxjl3e+y+j5rZk8AA8N/OuU2lG7WIiJS7bIOPLwIpqwQ75640sxrgcrw/Rn/Kw9jKW547Ww9qbyd07Pks+mIP1A+/O+uTyo4Ogq9vY8GjPvf5BEfTXlG/bh5de19G8KRTBwMNZXEFvoABYClbrwF7JG3rBlLVnJ2MVzJCRtv4pZwCdPm88FChGdSN9Y20ndI27AJQlVXRdkqbMqCKwDn3Al7Dqy8DlwCtZvZ559zfSjw0GYNUakGKyTnXBrQlbftGwv8dXumtFN3uREREdlaV5X7/BxyWbgfn3A/xmju8F68pxNgWCnnLFv2MtI5a7CS4cfNW2lZCY4+3XBog0AuNtcHsTyrjwVE/PsHRtFfUe3sJ/3wxTJ/uBSAy7R+7Al9wOX6PMiY8A8xK3OCc+75zblqK/d+KV5dIRiMxQBcPzHV3D23fujW/r7V8OSxZ4t0mBgXjRnDhIdITYfkjy1nyhyUsf2Q5kZ7Y82YTyCxTLTNa6FrcxRVHX8HSDy7liqOvoGtxl2q/FZlz7grgYLzaj38ys0vMrLbEw5IKlHKeYqjUgh+VWhAREZFyl23mYxvwSTP7mHPuzlQ7Oee+Z2Z1wDfJ3AWysqXrLjvSOmoJJ8Et66HrMgjPxls23V1H6LRlBLM9qQyFvKwkPz7B0bRX1OuhM9ALkd7BTKCyuAKf4/coY8LfgYVmVuec6023o5ntgtdldnlRRjaWpQvQDQzA2WfDXnuNfil2ttmVOWaepy0RUeEZ1MG6oJZalgHn3D/M7H3AhXgXYj/BWD8OkrzKVMpGpRZERESkkmUbfLwVr+ZHijO0Ic65b8ea0MwcxbgqQ77qqMUlnQQHe0lYNt0Lh+aQwJVjcDRt84Ier2YkANEokVUreHnKy9RW1dIX7Ru+f7GuwOczAFwutewkLefcEmBJlrvviRcEuKdwIxon0gXotm2DVauIWB/hg+rouO1LNH/uPEKfvCC35lNZLn+O9EQIz9pBx0d6aX4ZQmuhMTEMnXThIWOJiP0uJliIEhoy7sQa8X3DzO4EbsDreC2SUTalbFRqQURERCpZVsFH59xm4GfZPqlzbsWIR1RpRltHLVG6bJ76enjsMW8ZYraBsRyCo2mvqOM1qwFon9xN64uLGHi1xjfwCEW+Ap+PAHA51bKTvHHOdQBXlHocY0K6uQlon9ZH6ykQpZfuegg8cSmLnr2ats/elf0S4CyWP7cfuf/QifchfQR6YdFR0LYSWjb5X3hIWyKiZwfhN//CAksRI1IGtYyAc+6vZjYLCIJP5ziRJNk2k4mXWgivDdO5uZOmSU2E5oQUeBQREZGyl23moxRDumXEPT1w993w0EO5BcayDI7udEW9t5duegj0eIHHtpVeFmakDlpPgYj1Qv/wFa+5XoGP9EQIrwvTsamD5snNhGaHcsuUyvF79B9EZTabECmqNHPT4LyQ0CCruw7o25pb86kMy58jnetoffW8nTOD6rzb1i/U0TX9e15TrKTPa9oSEdZH572/goFamDgRzPJTQkPGvVgW5BulHse4UEErF1Id9+RSykalFkRERKQSZRV8jNVxbAciwNHOOd+Ut9h+dwEB4EOp9pMU4suIP/pR2L7df58CBsYGr6ivWUHnd86j6eU+Quu8wCNAeA6kyEuixmo4YdYJXNl6ZVaBhky1jeLyFqBMJZ9dc6XgNBeViF+Jg5oa6O9POy8kZuxklKGOY3jaJqJbU2QG1dUSPriBBUnzYaQnwstb05SI6IGmV/phe783ly5bBhs2jL6Ehox5movKRAWtXEh33JO29I2ayYiIiMgYkG3m42fxOjl+It2Bs3Ou18z+H16DmlOA60c9wvHmwAOhujrzftu3e00errwyr1f4g3VBFnzgbFjYDEcdtdN9HZO85jN++l0/04LTss54zFTbKFgXzDpAOSoV3mxiHNJclIt8ZgQllzjo6oJbbqFjUnfKeSGn5lMZGkh1NE2m++Hsm1zF54+B6EDqEhEMlZTAOWhogEsuyW68Mt5pLiqSlBchK2jlQqbjnqfPeVrNZERERGRMyzb4eBzwnHOuLdOOzrm7zawD+DQ6yM5dOOydBGfS3w+rVsFttxXmCv/69cOykJo3e5lCfoGGXK7MZ1Pb6MTZJ2YVoBy1HLvmSslpLspWITKCEkscRCJw223ZzwuZAqE+2ZWR3SYSnjVAx+mf4IVtL6cd2j677DP4f78T/Z3G1QtVbqikBKCLDZIrzUVFkHwRcmLtRM6961yOO+A4DttQQ6h6AN/LKflYuZDHizdpj3t6e2m75DTapp9F6xtXE8WpmYyIiIiMOdkGH9+Dd9U+Ww8CrbkPR9Jm4iXr6/P+HXkkPPccTJsGZLdUOeM+PuMIrfWaO/jJ6sp87EC+4/lr6a5Nn8GUbfH1UcuQbaVmE2VHc1E2ipERFAsWho6dzyK2+u4yOC9kGwhNyK5sf/Z+WhtuIVpTQ/f6X1JXXZd+PAk9Y9LNHzUDcMI6uPKuhMAj6GKD5EpzUYH5XUTY1rcNgF+u/SU3uyrOOyvKXSuhZX3Sg0d7MSHPF2/S1nSkh86/3c2C/32Irnoj/JNz6JxkaiYjIiIiY0q2wccpwCs5PO8rwOTchyPsu2/uj9mxA976VrjnHtpnkHGpclbLmX0yAht7vUyh1lMg2lBPt+vJ/sp8woF88/7dBI4eahaRKJ4p9cymZ7Iuvj4qfrXs1GyinGkuyka+aplGIrBiBdxxh/f1xz8Op546lP3T0kLjv16i7Ybv0PrqD4hW2fB5ocflFggNBol89kRaLz+PSO8OiC1o7R0Y3uQq0YY3Ngz+P92Jfn81TNuaFHgEXWwYL/KXzaa5qMDSXUQA6LUovfXw0c/Cq9/P48WE2MWbSE+E8Byv5Ezz5m5Ca6FxhBdv0tZ07IGmzUB3N8FuWHD61WW1ZFxEREQkH7INPm4HcjkKCgI7ch/OGFCqros9PUSOnU/rYoj0DWUhJS9Vds5lt5w5RUZgy3ro+lmQ8B3L6OzekN2V+aQsrGwyKG9ae1Pxiq8n17JTs4lyprkoG/moZdre7tV93bZtaNvq1fCVr8Dvfz+U/RMM0vKlZXT1XkB4bZjOzZ07zwvLl+ccCM0UdEiWPCekPdGvaqBpm4NATWVfbKigDr9lI7/ZbJqLCizdRYRE22thxbvg7DUJG0dzMSEcpn1aH63He820uuu9AOGio6Dtlj5aRrCcOzQ7lLqmIwm1Z0HN7kRERGRMyjb4+AIwN4fnnQskL4IZ+/JxYvPCCyN++fDbe4n2m+998aXKDpfdcuY0GYHB37ax4P05nKglZWHtlEFpXgZkcgZl2gP1QhRfT6xlJ+VMc1E2RlvLNBKB+fN3DjzGbd/u3ffSSzsF64J1Qf9SCCMIhGYbdIhLnhPSzh81tYTueAZuu3NUFxt8S1f0UpyAYAV1+C0b+S9FoLkoF4nB8vgKjxdeSPs5SXcRYScGd76jirPXRPNyMSHSsZbW43cQSahjG69p23r8Dro6n8wp6gzQWN9I2yltO6866fECjzvVnoXKqz+rCyEiIiKShWyDjw8AXzKzuc65Nel2NLODgQ8APx7l2CpLvk5s0gUNMugI9tKdoldNfKly/KA35T733wzhZ4YOIPOREegTfGhZD12XQXg2dH7s32j6xOk7ZVD6Hqir+LpoLsrOaGuZhsNePdlUenuzz8wZQSA0U9ChvrqenoHUZR8yzh+T9hrVxQbf0hVtX6ZtpaPlharCBgQrqMNvWclXKYIhD6C5KDvJwfJEaT4n6S4iDLPXNFgUgpdfhldege98Z3iZiCyF995C9FX/+7bXwNmNf+HKnsiwWtqZtMxooWtxl5chfv/NNN19H6FHeoeXgKik+rO6ECIiIiJZyjb4eCVwFvBrM2t1zv3DbyczOwD4NTAAXJ2fIVaIfJ3YpAsaTJjgZR2l0Ly1joB5NdeSxZclOlzq5Yi90HTzffC/d+98ADnajMAUwYdgLyx4JgBnnw4+GVM7HagnL+UsFV3hLzXNRdkYbS3Tjg7oGT6PDOrtzT4zJ8dAaKQnwo7+HfQN+Ac/g7VBlh25jA1vpC/7UKj5w68JxmDpik95F1WCULiAYP6DaONDPkoR7ExzUTrxv5Xr1sFPfpJ6PknzOUm8iNDT002vpXjfO/jY1mmw4qeZy0RkoaNpEt2v+9/XXw2rdqzhtsun71wnO0uDGeLNJ8I3p3tzabJKqT+rCyEiIiKSg6yCj865p83sW8BFwKNmdjNwHxCv8D8dmAccD9QD33DOPZ2PAZrZ0cAVQDWw3Dm3LB/Pm3f5OrFJFzQ46yz48Y9h+3YidSQUQvfqKIbWwaJP1ELf8IP8+LJE51zq5YgOQo/0es+9f7f33EuOIPS7f9I4aVq2P4nhRpGFlXIpZynoCn/JlXIuKkvpguGjqWXa3Az19akDBnV12Wfm5BAITcwo7I3ufFKemLmY7Ql/IeaPdPUoo3jZ3AseTdyY54Bg/oNo48NoSxEk0VyURrpMx1RSfE7iFxFWXH0mCzevor96+EMn9sOpv3gCtnlzxs7HR9sJzT+cxmf+BdOyO45pnjabQFUD3VH/Ep190T76evt2rpOdq7HQ7E4XQkRERCQH2WY+4pz7lpn1AxcCJwMnJe1ieH1Jv+acuyQfgzOzauAq4Ei8A/qHzex259yT+Xj+vMrniU2qoMG3vw3bt3sdrU/xKYT+6kdo++w3Mi5VHrYckXqqenpoWwmP7ZX03L09nHflW/nS+7/sfZvx2ma5LDcaCwfZusJfNkoxF5WlbILhI61lGgrBeeelDz4mXjRICoJGPtVK+F9tQ/UQ3xuiMUMg1C+jMK62qpbvHfk9Tj3w1JKXXEhXj7K7HjonJW/Mc0Awz0G0cWO0pQh8aC7y4fe3MhtpPifBuiBnL/gZBx7yG+Z/ajt91dBTA/X9UDsAd/2qdnDpsv/xUR9tH55Jy8/vzepC4eBy7970/YF2qpM9EpXe7E4XQkRERCQHWQcfAZxzF5vZSuA04INA/DLyS0A78HPn3L/yOL5DgE7n3HMAZnYTcCxQfsHHfJ/Y+AUNmpuJ7DaR1lO2+RdCn/EQXXu9O+NSw2HLEe97jNBld+OA6YvZ+bnrANfDpX++FPCyjxatXpT7cqNKP8jWFf6yUoK5qLzkMxieKnvyrruGd7sGr/zDXXcNPX9SELT97Q20PncG0Qle5tBOc0aaz0i6jMK66joaqhtKHniEDJ20e6Bpc/LGPAcECxBEGxcKdBFs3M9FydL9rUwn0+eksZGWa3/PS8fOJ/z2XjoDvTR11xF6po7g0cfAs78kUucFHn2Pjz7dS9cxRxNc/3LG33V8uff8G+ezrW8bUfy/n3gt7VGp5GZ3uhAiIiIiOcgp+AgQO4i+sABj8TMdr6Nk3Abgfck7mdmZwJkAM2bMKM7IkhUjuy8UIvzzc1IcBkO0pnrwKnymK/E7LUd8fjnUPsTy/btTPnfcYG2zkSw3quSDbF3hLztFnovKS76C4ZmyJ195BVasgDvv9Pb/2Me8Bg7x+SwpCBqpY6hLbGzJYrZzRtqMwnyc5I9SvLv1ulfX0R/t992nCq/8xc4b8xwQHAuZ5KVSoItg43ouSpbub2U62XxOWloI/uslFiT//m66icjvbuaceb1s91mWDbGSCDO7WfCd78CyLKv3mFeyJtVFkXgt7XFLF0LGtGzLXpnZ8cDNwHszNd8SEZHxLafgo5nNAN4LOOBh59wLGR5SFM65a4BrAObOnZui33MR5OnEJn6SO7hkMb7MubGRjtOPp3v9L30fN9ituvnE3JqgxA4gOyYNZQlkMurlRpVGV/jLSrnORUWTbTA8XU3IbLMnzz7b++cnHCZSPUD4IK++2stBr6uGn0xzRtqMwhKf5Cd3t26oaQCgobqBHQNedmdV1NF2myNYWwW9BQ4IVnomeSnl+SLYuJ+LkqX7W+mnpsbLps72cxL//cXntm9/m/a9emk9p5cdNfjWhISEkgg/+AFccEHa14qXgNjauzXtUMyM7f3bWfKHJSMrSVPpdCFkdMq4gWG2Za/MrBH4MvDX4o9SREQqTdbBRzP7PrAQr4YRgDOzHzjn/rsQA4t5Edg34et9YtvK1yhPbJJPcpOXOTcfeBiBl36besnf3fd5HRRzaYISO4BsXnIEdf099GbxriiHTKSi0hX+slGiuai8ml9lEwzPlNWYh+zJ3z+7mmPP3sZAFfRVe/XX+lKd/GeYMwbrrPmIN8yCNBdnCsSvFuWO/lgtOINF/7aIWVNneeUtFlK8gGAlZ5KPEaWai8paur+VyWpr4eST4corc/ucJMxtkb5uWpPKxfip6YeuoLdfY4a5LV0JCIA6q6Gmpo6B6ABL71nqe6w2buhCyMiUfwPDbMtefRv4HjB+5zwREclaVsFHMzsJWIR3Zf8pvAPt/YFFZvaIc25Vgcb3MNBsZm/FCzp+Bq+o+5iQfBLd2tQ67CQ3ecli2hN0vG7V9PbmXvetpYXQ7/7Jl368L6lzl4ZkykQqdoCg4HSFvyyUai4qu+ZXmYLhra2w//7psxpHWUrg98/+nqMabt5pW6rAI2SeM+J11tI1zMp0caYQ0gUiqq2aWVNnDWVz1qGA4DhRwuOi+OuXz8WQRH5/K1NpaMg68DhY9mDDo2y+8Rp2/0A/czbCjmoylosB6K+BW2bDbbN6abv5clqcS5lplq4EBMBHnovyl2Zja/9QPdxRlaSpdLoQkpvKaGCYseyVmR0E7Oucu9PMUgYfy6I0loiIlIVsMx9PB/qBo5xz9wOY2RHAXcACoCAH2c65fjM7B1iNd4B9nXMuuaJWRfI7iT4neg4O/1XjfdG+wSWLgyfovb1000Ogxws8tq1ksOPjSJqgNE6axnlzz+XSNT/MuG9VXz+h8Fp4ZPmwA/hSBAiKQlf4y0FJ5iLKrflVpmD4nXdmzmpMkT0ZqYPwQXV0THmM5keW+144iPREOGbVMTkNOTF7MZVhzbASGmb5ZSAOnvDfOJ+nz32GOzvuzPsFj3KvRSklU6q5qPwuhiRL/lvpHFx1lXebzYW7pOWo7S0zaL3tBPqifV7W8SzAoKEXolVktVoDYg30gNb3PEnXf3+ZYIpMs+bJzQSop5ueYc8R6IFpWw3X3+f7Gtv7tnP2nWdzZeuVlX3BVQpnDDQwNLMq4HLg85n2LZvSWCIiUnLZBh/fBfw2foAN4Jy7x8x+CxxaiIElvE4b0FbI1yiYFPVc0p1Ep7KjfwdPvuadVwyeoF/0aTr/djdNm70mB4OBRxhZE5T2di743HKu/g/YWue/y8QeLwrctrKH4PofDlsqkjZAMBYyAnSFv9RKNReVX/OrdMHw3/0uc1bjV786LHuyfYbXLTZqvXRvvZvA3Q/5XjgIrwszEE2fIV1DNf0MDMtezGSnZlgJ0mUg9m3bytt+OJPq6tphFzwO3PPAUWVhl3MtSimpkh0XUW4XQ/wk/6284ILsLtwlLUeN7DaR1rO27bysOrbIfUf8OMUNbctGFAi/dRsLHsU30yw0O8Si28/2fc4qYFJkgO4UK0T6XT+r1q7itqduq/wLrlIYldHAMFPZq0ZgDvCAmQHsBdxuZseo6YyIiKSSbfBxd7xlRcmeAj6Zt9GMJWnquYQnPpW2nlAqm7ZtGvx/sC7IgrcdDz96KD9NUGLLQBojW7nrxlgAAq9Ie6AXBgyOfxIOez4p0Jm0VCT8TOoAQe9ALyseW8HZh6RoXiGSWVnPRUW/wp8qGJ5NTcik7MlIXzetp+xcOy3VhYOOTR30O/+OzwC1roqTJx7CtDnvp2mvWYPZi6ORLgNxRy0Q7fX+JYz7qBuPoooqHG7EWdjZ1qKUcaeUc1E2SyLLa6ljNhfufJajht+2Latl1bkYbD4D0Nc3LNOssb6RtqkLaX3x0qHjoIQVJk9N8b5O1aCvL9pHX2/f2LjgKvlXGQ0M05a9cs69AUyJf21mDwD/pcCjiIikU5XDfn5rTPrI6XrzOJF4AB0/uOjuHtze8fKTGTMd/UyeMHnnDaGQt3TJT45NUCKrVrB8dg9LjvAOrJ/+MVxxNyx9CK64Czb+P7jxNljwaFKGZVxsqUi6AEHPQA/nrT6P9vXtWY9LJEmp5qLKan6V7dwQz5684grC/z2faIP/2XS8U3Vc8+RmJtZMTPny1f1RrrzkcS75zLUs2LZ/Xk6+mwP7EoimuF6WIsy7rW8bW/u2Ds5J3X3dRHqz62QbF69F2VjXSKA2AHgZj411jVlnc8qYVNbHRc65a5xzc51zc6dOnVrq4WQnHCZSPcDyg2DJEbD8IFg3JXWQb5CRcg7wU98P+7wZ+2LHDnhyeMJoy+cuoOtnwaHjoLu946Knpnhj6s/i6Dl53hQB8nrsXijOuX4gXvbqH8CvnHPrzOxbZpZbzRUREZGYrLtdk9Oh3TiXoZ5Lc+cmGmoahjqmZqGhuoFZU2ftvDFPTVDa17fT2rWY6GG9g1f4Fx3lXeFf8GiWA4wtFWl+T+oliuBlBCgbQEapFHNRZTW/ymVuiGUkdfzhGbr/fJfv03X3dXPLk7fwzKZnBptjLapK0fDGwXfvheDrsWYM+Sig395O6JilLPqPfvALROQY6okHBfyWd/tJV4tSxrVSHRdV1sWQmEyN6Nr/sZrWs7YNZhtO7IXeKqgegIE0zaxqB9I3u0rWUw3nHQXrd4ULHoTGTZuG79TYSPC3d7EgNoe2T+5m/3Mhal7tyIY+wMXGluJIOrkm7JhrxCcjUyENDP3KXjnnvpFi30OLMSYREalsuQQfLzKzi/zuMDO/4jfOOZfL848dGeq5tL7UyBkN2QceAWqraweX9w07gH3+aRpvaxtRE5TBGo3WO3hSH88yaD0Fui5LkemYLLZUJDT7xJRLFONyPfEXSVL0uagim1/l2CApXW1DgPuev4+7nr3LW7psi7jo0ItY/PvFw3c0uOgwOPOR2Nwx2gL6kQgcdRSN27bRtjKpJESPl4FkxJZeZ2kkjWJS1aKUca1Ux0WVdTGEzI3oIg/8ntb6m3cq+7AtRe3pZNXVNdTW1LEtofv0TpJrQhr01cClH4Sr3wt39e/AtwhDbA6NrFpB64uLvOOkmPh8YwY1A9DvE/xMrAk7ZhvxyciogaGIiIxDuRwE57qMqOTLjkomQz2XtmkRGt5sYMfA8ABkXVUdVVVVVFs13X3d1FfX45zjrLln4ZzzP4C12AHsCE7u0zVxGDA4uxX22grNmyG0FhpTBSJjS0Ua64O0ndLGvBXz6I3676wOsTJKJZmLKrL5VQ4NktLVNgSvbAIM1VP82n1fY2LNRN8T/igQnh3LnB5tAf0VK2Cb9xot670LIuHZXs22ps3Q2gH7nwu5XM5RoxjJk1LNRRV1MSRjI7oznyb8tWOIfiTHJ3Ywsbqe2066nRNu+pTvLvVWS5QofX4NYgy21kNrw2/p6t3qn8kcDBI+uJ7oxlroG35MUzfgHSv5BR/jNWHHfCM+GRk1MBQRkXEmq5qPzrmqkfwr9ODLVoZ6Lh1Nk30DjwC90V6+NPdLnHPIOdRW1eJw9EZ7uerhq9j7sr056sajiPRGRlXDLFG6Go3b6uCXc+DSFlh4FExf7HXD3UkgMLSEJHbFtmVGC5cddRl11f5pCzrxl5Eac3NRJALLl8OSJd5tQqOFYvOrbZjqMwwwEB1ImWm0U0OHERbQj/REWP7IcpY8cRnLD4KuoFcD7tsfBmfw1Ye84Oa0rV6JiMYeCJiXNhWoDRCsCzKhZoLvc6tRjIxWqeci51ybc+7tzrn9nHPfzdfzFkK6i5xRFyV841I6dh3IXNsxmUHV9h4+UPc22lY6bw7wrpEQ6PHmhOPXpgg8Jo6hpjptbcZMx0knPMnw13Z1gzVhM37/qgspIiIi48D4XBZdaI2NRG6/mfDXjqFj1wGaX+kn9NxEGgeqoa2N5olPpVzeGKgN8Lbd38b5955PX3Soln2mBjUjXcqcaallf+wdstNS7B/VEjz20zBjRsqlIqceeCpfvfer9A4MzxTQib8I0N4+vObTokVeIL+lNMvwkmsbPvbyY9z97N2++/ZF+6ixGt+u14EeLysRGFEB/Z0yvKd307AHnPEJr87ajrqd69K2rI9lRP4sSPiOZXR2bxisyfjYy48NyxSvsio1ihEponTBu+6+bjo3Pk3zK/3e5zuH8gngXYgIX/o5FrxQNSwrOrQObpozwG9n1dJtfr2BEsaQZjVGuuOkQA8c9jz89M6E147UEDr9coKx5dQZv/9CrQSJRLxlvR0d3oqcUMi7WCwiIiJSAgo+FkD7+nZa/3IC0Y/V0N3XQ8DVsqgqStuJt9FyQAuhngNTLm+ssiocjr6B1AfKfkZ6AJtpqWWyKBB+ex8LZsyASy5JuV88i2r+jfPpjfbSO9BLXXUddVV1OvEXiUS8wGNipmO8TEM+GrSMQmJtw+WPLOeh9Q/5njhPrJ3IQHSA/oHhwccqIPTPidBYnbGAfnIN29am1mFLFOMBiR2xRMxhF0OqGgj+to0F7985aKtGMSKllzZ4Vxugabf9mf/CE5xRsz3n5+6ug843n4fuboIMb5IXWguLjurzb1SVOIbYagy/pjDpjpMGqqD1Ga++7dBr98Nvjx/cJ+P3X4iVIGV4cUtERETGt/JdjlihEmv7DC6Ntj4ibgett53A1t6tvssb48sEz5p7Ftc/en3KZdmpjPQA1m8stVWpUw+666Fzz5rsl1EaWKzMlXlfiEg47J0U+ok3aCkDodkhqsz/z0S1VXP7SbcPm8carYE2TiH4/R95QdQ0J7rt69uZfvl0Ft69kEv/fCkL717Ifj/eL+uLL1Eg/M1Pp32deDD1kiMuYcFBCxR4FCmydPNIlVUR+uwy2pqjXgfpHAV6oWmXmVDvH11s7IW2cA3BNNHH+GoMv/lo+uXTefyVx73jpNrg0Bjd0O3+/5lUkqahAe68c/DLjN9/vleCJF7cil/U6u4e2r419xI9IiIiIqOl4GOeZVvbJ56Rc8XRV7D0g0s555BzwMFVD1/F31/+e86vO5oD2OSxnPTOk5iYolZaoAea3qjOuIwyHoTd2rt1sFFFz0APW3u3jrg+pciY0dHh35AKRt+gJY8a6xtZdsQy3/uWHbGMj+73UbrOfJorAseztO99XBE4nq6zn6Pl4hu9QvoZMh6HXajp62ZH/46sL75010PngTPUIVSkjKW64NpY520PTp5Gx+nHD2Y2+3L+m6schL5yA7gUOwAtz/Xz0o6zWfKBJdRV11FfPVQbNj4G55zvfBSvqf3uvd7N05MuGhpG7ELqjjqI1HtZ2Fvj49+xY6c5POP3n+8LIhVycUtERETGFy27zrNcavvEM3IiPRGmXz6drX3ZBeRqq2qpq66lu28bAVdLVVU1bZ+6eVQHsIlLLSM9EW77x22++1UBobcdAzfdlLJ+UKQnwjlt57Cj3z+AMNL6lCJjRnOztwzOLwA5wgYthRDpibD0nqW+9y29Zymf624ieMwJLBhc2rcWvn5bVkv70l2oyZaaV4lUhkwlEJoPPIzAS7/1PX6qHYB5z0L7W7wYZHe9dyG0Crws6xlNsHAhXHqp/4sHAgSbZrHsyAVc8JELCK9ZQedf7qBpE4Rmfozg7geyPIsLx279H6gBevz2wav5uOBRfOfwopaAqJCLWyIiIjK+KPiYZyOp7ZPLSXhDTQPff9tZNPz4ajp3raHplT5C/6wl+P0T8lbLJ36VfqdGDdEaqvr6abu5nmDHr+E3bb71g+KNIrb3bfdtRAEFLrAuUglCIe/z42cEDVpGy6/OWWN9Y/pM7ugA4a98jAWRhM95DnUr012oyVYuGd+pvkcRKY7Ei5zJ0tVVbOiHX9/s/X+nhjLPBwiu/6l3xwUXwNVX+y8pTphTg397jAWt5yfUQnwI/uurdFzxiYwXjqOToTvFNeLuem9cya/n9/3H56Jv//HbhZmLKuTiloiIiIwvCj7mWboD6FQnyrmchNdaDaeecy3BzYnX3rd5N3lsVLHTVfqXn6TpO1cR+ns/wd7Y6/oEGRKXUaajbCUZ9xobvcB9ckOAqqqMDVrybafO0rGO0ItWL6LtlLb0mdz92+jcJcWTxpf2LUid3ZzuQk1NVQ0D0QFcqrWWQH11fdZLFtN9jy0z1HxBZNRG2VnZ96JnvDv9wcsIXrkUolEWPJpirmxshLvuSj+npmn01bz8FgIfS3/h2L1/OoE7V9Ptszw80ANN3XXQWJ92Di/KXFRmF7dEREREQMHHvEt7AJ3iRDndSXjc4HPschbBnqv8dxoYyHjCn4vBLIXly+GJGuj1WWyUEGTINoOzIAXWRSpNS4sXuA+HvWVwTU3eSWERA49+Fwzi81DrylYunndx6kzuHi/7yFfS0r5cO8j2R/2zpuMaahr455f/yV7BvTJ8h5m/x67FXeXVhGaUQRyRostTZ+W0S5O7Ppd5rsw0p6aphRh6sppFRw343hc/ZnHOsei+JTCwbfg+tTWETrscTjo15RxetLmoEBe3NC+JiIjIKCn4WAC51vZJdxJeX13P2Yeczawps7zn+Pq3U9fy2bYN7r8/b8HHQVnWD8qUwVlbVUtDTUNhCqyLVKJgMP+f1xxkapBlWOourUBoHUTqIDwHOiZB82YIrYXG2qGlfekyfZIv1GSSeCEnm8BjNt9jWdWfzVMQR6Ro0mQTjmQ1Rsql2VnMlZGeCOFnwnTM6KD5Pc2EZp9IY33Ca6c5lml8fRttO06htfH2tBeO2z63mtYb5xPt76Pb9RCweqpqamn77F0EM2QuFnUuyufFLc1LIiIikgcKPhZIutpGyTJlS+60FKe5GSZO9AKNfm6+GX760/xmT2VZPyjtMkqr4eR3nsyVrVcq8ChSJjI1yNrw5obhc5Orpaq3j7aV8NheXpfXKENNIBYdBW23RWkJhbLK9IlfqLnlyVu47/n76BkYnmFdV13HvJnzOH7W8Tk3acilCVhJpQvizJsHl10Gp56qbCMpL9l0Vi7CBZasljNnOJZp2e8wuv79p2kvHLfMaKHrv14aUeOYnOaifGQa5uPiVp6DyyIiIjJ+KfhYJrLOlgyF4NxzUz9RdXX+D/azrB+ULoNzQu2EvAQe1TRCJH8yNcjaZ5d9eOq1pzj9oNPZtG0TkydMZvbTmwhddDNu2zamL4ZI/dBjumP/bz3F6KqD8NrsMn0WHLSAZzY9w13P3uW7b+9ALwfudeCIsoJG0gSsJNIFcXp7YfFi+OpXlW0khTHSYFcZdFbOejlzFscyiReOIz0Rblp707DjjVwuLifKei4ql0zDSATOOQe2b/e/v4jBZREREal8Cj6WkawOaBsb4bjj4Je/9L9/27b8H+xnWT9oJPUuc6GmESL5FZod4st3f9n3vv5oP0vvXYpzbufP8qduJvj121g+x8t49BOtMsJrwzll+hQqSJi2CVhvH6E126E5UvqMwnRBHPACkL29yjaS/BtNsKsMOitnvZw5h1qI2Rxv5HoxNKuGhOWSaRh/T+zYAf0pavAWKbgsIiIiY4N/MS8pb4cdRmS3CSw/CJYcAcsP8uquAYU72I/XD7riCli61Lvt6hp2YhLP4Lzi6CtY+sGlXHH0FXQt7hp1cDAxsyEenOju6ybS623f2rt1VM8vMl45599Rumegh629W4d/3m47ga2330zHXrWDmY7J4oHF5s0Q6PXfJzmgGJodShtAGGmTqvhFkca6RgK1Ae+1e6GxB9p+3ktw0VKYPt072S6leBAnk3i2kUg+JAa74kGu7u6h7Vsz/G0NhbzgnZ8idVbOaTlzFscy2RxvtK9vZ/rl01l490Iu/fOlLLx7IdMvn077+tTziO9cVBugsa5x6AJtNsvYCy3xPdHXl3q/IgWXRUREZGxQ5mMFam+ZQetZ24fXWVsJLVsKeLCfZf2gkS5JSqeimkaIVIjwunDKhjKp9A70smJiB81fu5zAPf9FtxteozFQG6Bp4j6cGFrKoi/6P08VNiygaGa++6banq3BshZrVtD5nfNoermP0DoI9gKUSf2ydEtCEynbSPJptDUbC9FZOUc5Z01nOJbJdLyx4rEVnH/v+SPqWp2xxE4ZLGNP+55IVKTgspSGmR0NXAFUA8udc8uS7l8EnA70AxuB05xz/yr6QEVEpGIo+FhhIj1e5pF/nTXo+ujNBEdysJ+P4uYFVDFNI0TKTLqlgZk61PvpGejhvNXnccfJd1BVWwe9w4OPVVZFaK0j2ONoWzm8KU0V0Db17J1O0MPrwhgpgo8w6gsMwbogC56shwfroNsnm6fU9csSgzi9vdAz/OcKKNtI8isfwa58dlYegayWM+cg0/HGnc/cOaqLoWkv0JbBMvaMJSBqamDChKIFl6X4zKwauAo4EtgAPGxmtzvnnkzY7VFgrnNum5mdBVwKKBotIiIpKfhYYdJekQ8GCO/yAjmfOpdLcfM0KqZphEgZyVS3zPtcTaS7b9vwBztIEQukL9rHCb86gZtPvJkTfnWCf43Xq34H3d20dEPXZRCeDZ2ToGkzXtbhop2fPP0J/zY6n7gfRpvdXA5ZRenEgzgrVsB55/kveVS2keRTvoJd+eisPEL5rjed6XjD4fJ3MTT5wm9ra1YN/goq3XuithZOPhmuvFKBx7HtEKDTOfccgJndBBwLDAYfnXP3J+z/v8BnizpCERGpOKr5WGHyngE42npPRRKaHUq5PHQkmQ0iY102dctCs0NU9adYXpdhpXPURXnhlQ66Jl/MFVs/xNLg0Vxx6PeGarwm1DAM9sKCR+GSe73bYO3woEY8EOon0ANN19w8+vkoXV3FcskoDAbh7LPhvvu8bMj4eAOBoexInfRLvpRBzcZ8yGe96UzHGx97+8cGazYmy+liaHu7V2924UK49FLv9oADYNmy0n72070nGhoUeBwfpgMvJHy9IbYtlQXAXX53mNmZZrbGzNZs3Lgxj0MUEZFKo+BjhYlfkfdTX13PYy8/xvJHlhPZ1AXLl8OSJd5tYufEROVQ3DwLWRVqF5FB2dRJbaxvpG37cTT2eAE+wMt4zEJ3Xzed3zmP4KKlLLjkbi658CEWHH0+wb895u2QY1AjXSC0Cgj9o3rE81GkJ8LyR5azZNo6lh/YP9SgK8OYSirLJl8ioxIPao2BQHd8OfMlR1zCgoMWjPi4wPd4g3oaXR1tu5zFqfsdN/qLoeku/C5dCs88U7rP/hh6T0jhmdlngbnA//O73zl3jXNurnNu7tSpU4s7OBERKStadl1h0tU26hno4e5n7+ahfz7Aou1n0HZLAy3P7Ei/jLrclyEmyFioXUQGZZsl3bLfYXT9928Iv3Ub1x4Ef903u+cP9ELTy31D9RPj80i8cUuOjSjigdBW++Xw+pArIfj6Nrj2WnAup5q0w5aeH93Aoo+w8/xYxOYYOSnhUlYZR0pcs7EcDR5v/OY7dF5/OU1bHKFHegnWXgXn/4S2Xy6j9f+WjnyZd6YLv3feWdrPvt4T492LQOLRwD6xbTsxsyOArwEfcc6n+5yIiEgCBR8rjF9to2Td0R1QD63H76DrMggmBwUSDx7Lobh5DgrRSVtkLMq6TmooRHDRIhY8Cs5g7R5DTazSqXJe7cZhEhu35HgCmxgI3ak+ZG9sh7/+FdauzbombeLS87jB+fEU6Nq+iGDTrFGfVKdr6iNSERToHibY41hw+tUQSai92uvNpy0nL6Xr+WcIP3/nyC6GVsKFX70nxrOHgWYzeyte0PEzwMmJO5jZe4CfAUc7514t/hBFRKTSlG3w0cwuAs4A4gVCvuqcayvdiMpHYgbgzU/ezH3P30fvQO+w/aJ4TR4WPBrf4NPNNRSCRYuI1EF4DnRMgubNEFoLjeW2DFFEspZ1B9iEDMXQcwMswqf5TIKG6gZq+6O0rewdCgomSj5xzuUENiEQmlK6iylJ0i49r6km/OlZo76Ykampj4hUqAzZicHb7mTBSINzFXbhV8YX51y/mZ0DrAaqgeucc+vM7FvAGufc7XjLrIPAr80MYL1z7piSDVpERMpeudd8/IFz7t2xfwo8JohnAL5rz3f5Bh7By17qnJS4wedqemMj7b9cxvTFsPBouLTFu52+GNp/uUxLbEQqVE51UmMZio3f/xFtnEKQNKmPBs/sdTEtmzI3bhmstfiHJV4t2p4UtWcHB+1TayyVLGrS5r1BV5JsmvqISIUqZHbiGGn0I2OXc67NOfd259x+zrnvxrZ9IxZ4xDl3hHNuz4TzNAUeRUQkrbLNfJTspF1a2eMtWxzaMPxqeqQnQuv/LSWSEGvojjVjaP2/pXR99HOqqShSoXKqkxrLUGxhAZf87d/4r9//Fz0Dw0s4VVs1d76rgQUZTpxHnBGYuFT72mu9pdZ+sjj5z3bp+UiXTWfT1EdlIkQqVCGzE3OsiSsiIiJS6co9+HiOmX0OWAMsds5t8dvJzM4EzgSYMWNGEYdXemmXVpJUk83nanp4XZi+aB9++qJ9gyfP5VjTrBzHJFJuRlIn9YU3XvANPEIsY3DbhrQnzpFaN7zWYiwA2Lqyla7FXekvasSXajvn1Xgc4cl/NkvPR7NsutCZlSLJVJKmiGJlaXzlIztxjDV10TGZiIiIpFPS4KOZ3QPs5XPX14CfAN8GXOz2MuA0v+dxzl0DXAMwd+5cV5DBlim/BjSBqgaqtu+g7ZYGgr3pu7mue3UdO/p3+D73jv4dPPnak2VZ06zUY9JBtoxlWWUMHpT6xDn8yPL8ZASO8uTfd35M6Err3OiCpFk39RHJrx84575f6kGMecXIThwjTV1KfUwmIiIi5a+kwUfn3BHZ7Gdm1wJ3FHg4Fct3aeXMjxHc786MV9M3b9/s84xDXo68PLoMpgLw7WBbxDHpIFvGuqyb1aQ4cc5bRmAeTv7TLT1fPsogadY/JxGpTGMsO7EQSn1MJiIiIpWhbJddm9k059xLsS8/Bawt5XjKjV/m3bCT5Cyupu8+Yfe092/ctjGrZdnFVMo6azrIHn/G4zLHTBmDmd7jec0IzMPJf6ql56MNko725yQyQhlL0ozncjR5N0ayEwtFtW9FREQkG2UbfAQuNbN34y27fh74YklHU0aSM+/qq+s5+86zWfhvC7ngwxfktPx3zh5zaKhuYMfA8KXXDdUNOOcyLssutlLWWdNB9rg17pY55tSsJkneMwILdPKfjyDpaH5OIn7yUZJmPJejKbhIxLsY0tHhNaUJhbws7TJQipIwqn0rIiIi2Sjb4KNz7t9LPYZy5Jd5F28McemfL+Xqh6/mrs/elfXy33iQwC/4WFtdy9TA1LSP37RtUw6jz49S1lnTQbaMJyNpVgOVkxGYryDpSH9OIn5UkqaMtbcPLwOxaJFXBqKltGVXSlUSRrVvRUREJBtVpR6A5CZd5h3A1r6ttK5sZWvv1qyeLx4kaKxrJFAbALyDxcY6b/segT3SPn7yhMnZDz5PQrNDVJn/W7fQddbiB9l+dJA9pp1jZk+Y2XVmlrJWgZmdaWZrzGzNxo0bU+02LsQzAq84+gqWfnApVxx9BV2Lu8qqLmqm+a9cgqQicWY2LeFLlaQppkjECzxGIl7gEbzb+Pat2R13FWRoCRem40HA7r5uIr2RnI4JR6KUx2QiIiJSOco281H8pcu8i8t1+W+6ZYNPvfZU2mXZs6bOGtH3MRqlzKpSg4mxKR/LHEFLHZNVQkaglk1LhVFJmlIJh72MRz/RqHd/iWpDlrIkTKVkuouIiEhpKfhYYdItb4kbyfLfVEGCTMuySxVsK1XAQAfZY5OWOY5vlRAkFQGVpCmpjo6hjMdk3d1eQ6wSKXVJGF3EERERkUwUfCwT2RYJT5d5F5fP5b/lHGwrVcBAB9nji5lNc869FPtSyxzLSCmaK4jIONXc7NV49AtA1tfDPvsUf0wx5VB3URdxREREJB1zbmytDJw7d65bs2ZNqYeRE78i4fHgnl99tPb17cxfOT9lDZ/Guka6FnflNRi2tXergm1SVGb2d+fc3DIYxy+Ad5OwzDEhGJlSJc5FlSTXeVNkpMplLhopzUV5EonA9OnerZ9gEO66qySNZyI9EaZfPn2nZoRxhTgmlNLQXCQi5aDS5yIpHTWcKbGRFAlvmdHCS4tfYskHl1BbVUtddR1Q2EYJ8SvalxxxCQsOWqCDWBk3nHP/7px7p3PuXc65Y7IJPEphlbK5goiMU42NXlfrYIrjn61bS9Z4Rs2zREREpNxp2XWJjbRIeLAuyLIjlnHBhy9QRqKIjCulbK4gIuNYSwtccgksXgy9vcPvL2HjGZWEERERkXKm4GOJjbZIuGrsiMh4U+rmCiIyjr3wgn/gEUreeEbHhCIiIlKutOy6xOJFwv0Uq0i4iEgl0bwpIiUTbzzjJxCAJs0/IiIiIskUfCyx0OwQVeb/a6iyKkJzQkUekYhIedO8KSIlEwpBVYrD56oq734RERER2YmCjyWmIuEiIrnRvCkiJRNvPNPYOJQBGQhkbkgjUkHM7Ggze9rMOs1sqc/99WYWjt3/VzObWYJhiohIBVHNxzKgIuEiIrnRvCkiJdPSAl1dXnOZzk5vqXUopMCjjAlmVg1cBRwJbAAeNrPbnXNPJuy2ANjinGsys88A3wOU9isiIikp+FgmVCRcRCQ3mjdFpGSCwZJ0tRYpgkOATufccwBmdhNwLJAYfDwWuCj2/5uBK83MnHOumAMVEZHKMeaCj3//+99fM7N/lXocMVOA10o9iCxVylg1zvwq53G+pdQDGA3NRSNWKWPVOPOrnMepuSi/yvl3nUjjzC+Nc/SKNRdNB15I+HoD8L5U+zjn+s3sDWAyST87MzsTODP2ZY+ZrS3IiIunnN8f2aj08UPlfw+VPn6A/Us9AKlMYy746JybWuoxxJnZGufc3FKPIxuVMlaNM78qZZyVSHPRyFTKWDXO/KqUcVaicpqLoHJ+1xpnfmmc45Nz7hrgGhgbP9tK/x4qffxQ+d9DpY8fvO+h1GOQyqSGMyIiIiIiIgLwIrBvwtf7xLb57mNmNcCuwKaijE5ERCqSgo8iIiIiIiIC8DDQbGZvNbM64DPA7Un73A6cGvv/CcB9qvcoIiLpjLll12XmmlIPIAeVMlaNM78qZZwyOpX0e66UsWqc+VUp45TRq5TftcaZXxpnhYjVcDwHWA1UA9c559aZ2beANc6524H/AX5hZp3AZrwAZSZj4Wdb6d9DpY8fKv97qPTxw9j4HqQETBepREREREREREREpBC07FpEREREREREREQKQsFHERERERERERERKQgFHwvMzC4ysxfN7LHYv9ZSjymRmR1tZk+bWaeZLS31eFIxs+fN7P9iP8M1pR5PIjO7zsxeNbO1CdsmmdkfzKwjdrt7KccYG5PfOMv6/Sn5U+6/60qZi6B85yPNRVIJyv13rblo9DQXjW+ZPkNmVm9m4dj9fzWzmSUYZlpZfA+LzOxJM3vCzO41s7eUYpypZDuPmdnxZubMbG4xx5eNbL4HMzsx9ntYZ2a/LPYY08niPTTDzO43s0dj76Oymmv85sek+83MfhT7/p4ws4OKPUapPAo+FscPnHPvjv1rK/Vg4sysGrgKmA/MAk4ys1mlHVVah8V+huX2B/J64OikbUuBe51zzcC9sa9L7XqGjxPK9P0pBVGWv+sKnIugPOej69FcJJWhLH/Xmovy5no0F41LWX6GFgBbnHNNwA+A7xV3lOll+T08Csx1zr0LuBm4tLijTC3beczMGoEvA38t7ggzy+Z7MLNm4Hzgg8652cDCYo8zlSx/BxcAv3LOvQevYdPVxR1lRtfjPz/GzQeaY//OBH5ShDFJhVPwcXw7BOh0zj3nnOsFbgKOLfGYKo5z7kG8Tn+JjgVWxP6/AvhkMcfkJ8U4RcqB5qI80FwkMmqai/JAc9G4ls1nKPG9cDMwz8ysiGPMJOP34Jy73zm3Lfbl/wL7FHmM6WQ7j30bL/C7o5iDy1I238MZwFXOuS0AzrlXizzGdLIZvwN2if1/V6CriOPLKIv58VjgBuf5X2A3M5tWnNFJpVLwsTjOiaUjX1cOy0wSTAdeSPh6Q2xbOXLA783s72Z2ZqkHk4U9nXMvxf7/MrBnKQeTQbm+PyX/yvV3XUlzEVTWfKS5SMpRuf6uNRcVjuai8SGbz9DgPs65fuANYHJRRpedXOeBBcBdBR1RbjKOP7ZEdl/n3J3FHFgOsvkdvB14u5n9ycz+18zSZekVWzbjvwj4rJltANqAc4sztLyptL+XUgYUfMwDM7vHzNb6/DsWLwV5P+DdwEvAZaUcawVrcc4dhJfifbaZfbjUA8qWc87hnSCUI70/xxDNRUVTkfOR5iIpFs1FRaO5KP/0/pSsmdlngbnA/yv1WLJlZlXA5cDiUo9llGrwlvweCpwEXGtmu5VyQDk6CbjeObcP0Ar8Iva7ERmzako9gLHAOXdENvuZ2bXAHQUeTi5eBPZN+Hqf2Lay45x7MXb7qpndhpfO/mBpR5XWK2Y2zTn3UiwFvZyWAgxyzr0S/38Zvj8lR5qLiqPC5iPNRVJ0mouKQ3NR/mkuGrVsPkPxfTaYWQ3ektNNxRleVrKaB8zsCOBrwEeccz1FGls2Mo2/EZgDPBBb7b4XcLuZHeOcK5fGVdn8DjYAf3XO9QH/NLNn8IKRDxdniGllM/4FxGoqOuf+YmYNwBTKdG70UVF/L6U8KLpeYEm1Dz4F+HaMKpGHgWYze6uZ1eEVu729xGMaxswCsaLImFkA+Cjl9XP0cztwauz/pwK/LeFYUirz96fkUZn/ritiLoKKnI80F0lZKfPfteaiwtFcND5k8xlKfC+cANwXy4YtFxm/BzN7D/Az4JgyqzUIGcbvnHvDOTfFOTfTOTcTr2ZlOQUeIbv30W/wsh4xsyl4y7CfK+IY08lm/OuBeQBm9g6gAdhY1FGOzu3A58zzb8AbCaU1RHwp87HwLjWzd+MtL3ke+GJJR5PAOddvZucAq4Fq4Drn3LoSD8vPnsBtsatzNcAvnXN3l3ZIQ8xsFd4fvymxuh0XAsuAX5nZAuBfwImlG6EnxTgPLdf3p+Sd5qL8KNv5SHORVAjNRfmhuWiUNBflX6rPkJl9C1jjnLsd+B+8JaadeA0tPlO6EQ+X5ffw/4Ag8OvYZ3C9c+6Ykg06QZbjL2tZfg+rgY+a2ZPAAPDfzrmyyKDNcvyL8ZaKn4c333y+nILwKebHWgDn3E/x6lS2Ap3ANuALpRmpVBIro/e4iIiIiIiIiIiIjCFadi0iIiIiIiIiIiIFoeCjiIiIiIiIiIiIFISCjyIiIiIiIiIiIlIQCj6KiIiIiIiIiIhIQSj4KCIiIiIiIiIiIgVRsuCjmV1nZq+a2doU95uZ/cjMOs3sCTM7qNhjFBERERERGU90niYiIvlWyszH64Gj09w/H2iO/TsT+EkRxiQFZmYu6d+Amb1mZveZ2clpHneAmf3YzNaa2Rtm1mtmXWZ2p5ktMLP6pP1PiO3/kJm9GXutGwv/HYpIJdBcJCLlQHORlKnr0XmaiIjkUU2pXtg596CZzUyzy7HADc45B/yvme1mZtOccy8VZ4RSYN+M3dYCB+D9vg8zs7nOuUWJO5rZN4AL8YLlfwFWAFuBPYFDgeXAWcDchIddABwY229D7DVERJJpLhKRcqC5SMqGztNERCTfzPubUaIX9/6o3eGcm+Nz3x3AMudce+zre4Elzrk1PvueiXfVjUAgcPABB+h4SqTS/f3vf3/NOTe11OMYqSlTpriZM2eWehgiMkqai0SkHBR7LsrHeZrO0UTGnko/LpLSKVnmYz45564BrgGYO3euW7NmWHxSRCqMmf2r1GMYjZkzZ6K5SKTyaS4SkXJQiXORztFExp5KnIukPJRz8PFFYN+Er/eJbRMREZFUIhEIh6GjA5qbIRSCxsZSj0pkXIr0RAivC9OxqYPmyc2EZodorNfnUSqeztNERCQn5Rx8vB04x8xuAt4HvKE6IiIiImm0t0NrK0Sj0N0NgQAsWgRtbdDSUurRiYwr7evbaV3ZStRF6e7rJlAbYNHqRbSd0kbLDH0epaLpPE1ERHJSsuCjma3CK4o9xcw24BXOrgVwzv0UaANagU5gG/CF0oxURESkAkQiXuAxEhna1t3t3ba2QlcXBIOlGZvIOBPpidC6spVI79DnsbvP+zy2rmyla3EXwTp9HqU86TxNRETyrZTdrk/KcL8Dzi7ScEREADCz64CPA6/Gi6yb2SQgDMwEngdOdM5tKdUYpUTKfTlzOOxlPPqJRr37Fywo7phExqnwujBR5/95jLoo4bVhFhykz6OUJ52niYhIvlWVegAiImXmeuDopG1LgXudc83AvbGvZTxpb4fp02HhQrj0Uu92+nRve7no6BjKdEzW3Q2dncUdj8g41rGpYzDTMVl3Xzedm/V5FBERkfFDwUcRkQTOuQeBzUmbjwVWxP6/AvhkMcckJZa4nDke3OvuHtq+dWtpxxfX3OzVePQTCEBTU3HHIzKONU9uJlDr/3kM1AZomqTPo4iIiIwfCj6KiGS2Z0Ih9ZeBPf12MrMzzWyNma3ZuHFj8UYnhZXNcuZyEApBVYo/61VV3v0iUhSh2SGqzP/zWGVVhObo8ygiIiLjh4KPIiI5iNU5cinuu8Y5N9c5N3fq1KlFHpkUTKUsZ25s9LpaNzYOZUAGAkPb1WxGpGga6xtpO6WNxrrGwQzIQG2Axjpvu5rNiIiIyHhSsoYzIiIV5BUzm+ace8nMpgGvlnpAUkTx5cx+AchyW87c0uJ1tQ6HvaBoU5OX8ajAo0jRtcxooWtxF+G1YTo3d9I0qYnQnJACjyIiIjLuKPgoIpLZ7cCpwLLY7W9LOxwpqlAIFi3yv68clzMHg+pqLVImgnVBdbUWERGRcU/BRxGRBGa2CjgUmGJmG4AL8YKOvzKzBcC/gBNLN8JxKhLxsvk6OrxMxFDIW05cDPFly62tXo3H7m4v47GqSsuZRUREREREMlDwUUQkgXPupBR3zSvqQGRIe/vwwN+iRV7gr6WlOGPQcmYpMjO7Dvg48Kpzbk5s2yQgDMwEngdOdM5tKdUYRURERESyoeCjiIiUr0jECzxGIkPb4rUXW1u9gGCxAoBazizFdT1wJXBDwralwL3OuWVmtjT29ZISjE1EREREJGvqdi0iIuUrHPYyHv1Eo979ImOQc+5BYHPS5mOBFbH/rwA+WcwxiYiIiIiMhIKPIiJSvjo6/LtMg7e9s7O44xEprT2dcy/F/v8ysKffTmZ2ppmtMbM1GzduLN7oRERERER8aNm1iIiUr+Zmr8ajXwBy4kSv9qJItkrZuCjPnHPOzFyK+64BrgGYO3eu7z4iIiIiIsWizEcRESlfoZDXVdrPtm2w777FHY9UrvZ2mD4dFi6ESy/1bqdP97ZXjlfMbBpA7PbVEo9HRERERCQjBR9FRKR8NTbCzTenvv+EE2Dr1uKNRypTYuOieBZtd/fQ9sp5D90OnBr7/6nAb0s4FhERERGRrCj4KCIi5W39em+JtR81nZFsVGDjIjNbBfwF2N/MNpjZAmAZcKSZdQBHxL4WERERESlrqvkoIiLlraPDW2LtR01nJBsV2LjIOXdSirvmFXUgIiIiIiKjpMxHEREpb/GmM34CATWdkcz0HhIRERERKZmSBh/N7Ggze9rMOs1sqc/9M8zsfjN71MyeMLPWUoxTRERKKF3Tmaoq736RdPQeknEu0hPhyr9dydE3Hs3RNx7NlX+7kkhPpNTDkjKlczQREcm3kgUfzawauAqYD8wCTjKzWUm7XQD8yjn3HuAzwNXFHaWIiJRcYyO0tXm38ey1QGBoezBY2vFJ+dN7SMax9vXt7HXZXpx717msfnY1q59dzbl3ncue39+T9vUV1e1dikDnaCIiUgilrPl4CNDpnHsOwMxuAo4FnkzYxwG7xP6/K9BV1BGKiEh5aGmBri6vMUhnp7dMNhRS0Eiyp/eQjEORngjzV85nW9/wurnb+7cz/8b5vPRfLxGs0+dABukcTURE8q6UwcfpwAsJX28A3pe0z0XA783sXCCA19lxGDM7EzgTYMaMGXkfqIiIlIFgEBYsKPUopJLpPSTjTHhdmL6BvpT390Z7Ca8Ns+AgfS5kkM7RREQk78q94cxJwPXOuX2AVuAXZjZszM65a5xzc51zc6dOnVr0QYqIiIiIlJuOTR30DPSkvL93oJfOzeXX7V3Kns7RREQkJ6UMPr4I7Jvw9T6xbYkWAL8CcM79BWgAphRldCIiIiIiFax5cjP11fUp76+rrqNpkrq9y050jiYiInlXyuDjw0Czmb3VzOrwihXfnrTPemAegJm9A+8P28aijlJEREREpAKFZoeora5NeX9dVR2hOer2LjvROZqIiORdyYKPzrl+4BxgNfAPvI5p68zsW2Z2TGy3xcAZZvY4sAr4vHPOlWbEIiIiIiKVo7G+kbtOuYuJtROH3TehZgJ3ffYuNZuRnegcTURECqGUDWdwzrUBbUnbvpHw/yeBDxZ7XCIiIiIiw0QiXsf0jg5obvY6pjc2lnpUabXMaOGV/3qFFY+v4M6n7wSDjzV/jFPffaoCj+JL52giIpJvJQ0+ioiIiIhUhPZ2aG2FaBS6uyEQgEWLoK0NWlpKPbq0gnVBzn7v2Zz93rNLPRQREREZh8q927WIiIiISGlFIl7gMRLxAo/g3ca3b91a2vGJiIiIlDEFH0VERERE0gmHvYxHP9God7+IiIiI+FLwUUREREQknY6OoYzHZN3d0NlZ3PGIiIiIVBAFH0VERERE0mlu9mo8+gkEoKmpuOMRERERqSBqOCMiIiIiZS3SEyG8LkzHpg6aJzcTmh2isT59l+mRPCalUMhrLuOnqsq7X0RERER8KfgoIiIiImWrfX07rStbiboo3X3dBGoDLFq9iLZT2miZ4d9leiSPSaux0etqndztuqrK2x4MjvK7FBERERm7FHwUERERkbIU6YnQurKVSG9kcFt3n1d7sXVlK12LuwjWBUf9mKy0tEBXl9dcprPTW2odCinwKCIiIpKBgo8iIiIiUpbC68JEnX+X6aiLEl4bZsFBC7J+zEB0gLPvPJu9gnuNbCl2MAgLFmTeT0REREQGKfgoIpIlM3seiAADQL9zbm5pRyQiMrZ1bOoYzFpM1t3XTefm4V2m0z1mW/82Vq1dRV+0b/RLsUVEREQkKwo+iojk5jDn3GulHsSIRCLecsGODq9zayjk1TETESlTzZObCdQGfIOJgdoATZOGd5lO9xiAvmgfkKel2CIiIiKSUVWpByAiIkXQ3g7Tp8PChXDppd7t9OnedhGRMhWaHaLK/A9Xq6yK0JzhXabTPcZPfPm2iIiIiBSGgo8iItlzwO/N7O9mdmbynWZ2ppmtMbM1GzduLMHwUohEvA6tkYjXoRW82/j2rVtLOz4RkRQa6xtpO6WNxrpGArUBwMt4bKzztvtlK/o9psZSL/ZJtXxbRERERPJDy65FRLLX4px70cz2AP5gZk855x6M3+mcuwa4BmDu3LmuVIMcJhyGqH/zBaJR7341UBCpGOOt/mzLjBa6FncRXhumc3MnTZOaCM0JpV0mnfyYrkgXt/zjlpyWb4uIiIhIfij4KCKSJefci7HbV83sNuAQ4MH0jyoDHR1DGY/JuruhUxk/Raf6mzJ6lVt/dgSCdcFhXa1zeUykJ8JtT93mu1+q5dsiIiIikh8KPoqIZMHMAkCVcy4S+/9HgW+VeFjZaW6GQMA/ABkIQFOZZ/yMtUBde7u33D0a9X4ngQAsWgRtbdCijrsihRBfit26spWoi9Ld102gNkCVVaVcvi0iIiIi+VHS4KOZHQ1cAVQDy51zy3z2ORG4CK/W2uPOuZOLOkgREc+ewG1mBt7c+Uvn3N2lHVKWQiEvuOWnqsq7v1yNtUBdYv3NuHhQuLUVurogqCCIZBSvP+uAn8VKPgyK1aQ9E2DGjBklGF55GsnybZHxSOdoIiKSbyULPppZNXAVcCSwAXjYzG53zj2ZsE8zcD7wQefcllidNRGRonPOPQccWOpxjEhjoxesSw7iVVV528s12DUWA3Wqvyn5UZn1Z8vASJZvi4wnOkcTEZFCKGXm4yFAZ+yEHjO7CTgWeDJhnzOAq5xzW8Crs1b0UYpIRTGzScCAc+6NUo+lkCI9EcLrwnRs6qB5cjOh2SEa69MsRW5p8YJ14bBX47Gpyct4LOfg3VgM1Kn+5rhhZpcDf3HO/Trfz12x9WdFpBLoHE1ERPKulMHH6cALCV9vAN6XtM/bAczsT3hp/xdVzDJHESkIM5uOd7W9GXgc+J5zbpOZvRu4AZgd2+9PwJnOuadKNdZCaV/fPqxu2aLVi2g7pY2WGWmWIgeDlRWsG4uBukqvvym5WAgEgbwGHyu6/qyIVAKdo4mISN6Ve8OZGrwAw6HAPsCDZvZO59zriTuptpHI+BDLavxfvANj8JYEHWFmRwF3ApPxApJ7Ay3APWY2J3nOqGSRngitK1uJ9A4tRe7u8wJZrStb6VrcNXbql43FQF0l19+UQWZ2Wpa77p+4r3Puujy8fOXWn5VRyTnjXaRwdI4mIiI5KWXw8UVg34Sv94ltS7QB+Ktzrg/4p5k9g/eH7uHEnVTbSGTcOAcv8Hgx8CvgGLyMn+uBCPB+59x6ADP7Ll6G5LnAt0sx2EIIrwsTdf5LkaMuSnhteOzUM0sXqDOrzEBdpdbflGTL8ZospOPwLoK0ABb7etTBx4quPysjNuKMd5Hc6RxNRETyrpTBx4eBZjN7K94ftM8AyV3SfgOcBPzczKbgpfg/V8xBikhZ+STwsHPugtjXT5jZR4GjgePigceYC4AQ8HHGUPCxY1PHYKZjsu6+bjo3V+BS5FTigbqPfhS2b9/5vmgUHnusMjteF7v+ZiTivVZHh5dNGgp5P1sZra3AT4FtPvcZ8A3gEeB3xRyUjD3jKuNdyoHO0UREJO9KFnx0zvWb2TnAarxaIdc559aZ2beANc6522P3fdTMngQGgP92zm0q1ZhFpOTeAtyYtG0N8EHgz4kbnXPOzP4IHFeksRVF8+RmArUB3wBkoDZA06QKXIqczoEHQnX18O3btpWu43U+gnnFqr/Z3j48y3LRIi+oW4mB2/LxOeDHePPLF5xz7ck7mNk3gEecc98s9uBkbBlXGe9ScjpHExGRQihpzUfnXBvQlrTtGwn/d8Ci2D8RkQlActTtDQDn3Eaf/V8BAoUeVDGFZodYtNp/SqyyKkJzKnApcjrhMLgUK7VK0fG6koJ5kYg31shQttRg/cxSBW7HCOfcjbGLGz8HHjCzHwJfc871lHZkMhaNq4x3KQs6RxMRkXyrKvUARERy8BqwR9K2buDVFPtPBl4v5ICKrbG+kbZT2misayRQ68VVA7UBGuu87WNu6V05dbxODObFx9TdPbR969bijSUb4bAXJPUTD9zKiDnnXnDOHQEsBr4EPGpmh5R4WDIGxTPe/YzJjHcREREZc8q927WISKJngFmJG5xz3we+n2L/t+IVRR9TWma00LW4i/DaMJ2bO2ma1ERoTmh0gccC1wUccZfWcup4nU0wr5hZmJmUU+B2DHPOXWFmvwd+AfzJzL6PV+9RJC/SZbz3DfSxvX87kZ6IOl+LiIhI2VLwUUQqyd+BhWZW55zrTbejme2C12V2eVFGViCpgnbBumD+anzlcymxTxCzfcvjI+/Smq7jdVWVb8frEQc6M6m0YF45BW7HOOfcP8zsfcCFwPnAJ8jcDVskK/GM98R5NK432svSe5by1Xu/qs7XIiIiUrYUfBSRiuGcWwIsyXL3PfGCAPcUbkSF1b6+feRBu2zlsy6gTxAzsuQ8Ws+LEhkYagicU5fWeMfr5OBoVZW3PWlso/qZZcr+rLRg3ggCtzJyzrkB4BtmdidwA17Ha5G8iGe8r3hsBeetPo++aN/gfep8LSIiIuVONR9FZExyznU4565wzq0r9VhGItIToXVlK5HeyOCJZXdfN5Feb/vW3jzVF8xXXcAU9RDDM7cS3b7N9yHxLq0ZtbR4QdArroClS73brq5hWZmj+pm1t8P06bBwIVx6qXc7fbq3PS4U8oJ2fsoxmBcP3DY2esFR8G7j29VspiCcc3/FKw+xO/CfJR6OjCHBuiD1NfXUVdf53p/1nCoiIiJSZMp8FBEpQ+F1YaLOPygYP8GML7se1TLjfC0lThHE7JgE3f7nybl1aQ0GM9ZTzOVntpNssz9zzMIsC/HAbTjs/S6bmrwgaTmOdQyJZUG+UepxyBiRkJXdscfjFdP5umAlMERERKTiKPgoIhXDzOqAdiACHO2c60uz311AAPhQqv3KWcemjqxOMEe9NDtfS4kTgpiROgjP8QKPLwdhYi9s8wlA5rtLa7Y/s2FWrICeHv/7khvJVGIwL4vAreRmPM1FY0XFBsKSylk0/1sdgcP9L+qUU+fropQNERERkYqh4KOIVJLPAgcDn0h3Eu+c6zWz/we0AacA1xdnePnTPLmZQG3AN5gWP8FMXGYcl3Ptr3zVBYwFMdsnd9N6CkSB7nqY2APbalM8vVURmpO/pcrpfmY1VkNXpGt4R9j2dli8GHpT9C/yy/4cbTCvwJ3FpSjGzVxUdAX4fFRsIMwnKzv0SC+LDvPfPd9z6kjl5W9TTi+oOVVERKTcqeajiFSS44DnnHNtmXZ0zt0NdACfLvioCiA0O0SV+U/R8RPMbJYZZ5SvuoChEJF6o/UUiNR7gUeAbfUMtt0I1AYGbxvrvO6t+TwBTfcz63f93PKPW5h++XTa18fqOMZP7FMFHiH/jWSyqS0plWDczEVFVYDPR7pasEfccASLVi9i+SPL6Xqzi+WPLGfJH5aw/JHlRHoiGZ65CHzKWTT2QttKaOyBgHkTbaHm1JHKy9+mbGlOFRERqQjKfBSRSvIevAyibD0ItBZoLAXVWO+dSCZn61RZ1eAJ5oiXGSfLx1LixkbCV3+J6BOX+t49sWYiJ8w6gWnBaTRNaiI0J5T3k+TEn9lAdIBt/Ts3uhmWeZOu2U5cPhvJ5LOzuJTauJmLcjXi5c0F+nykC4T1DPTwg//9AQ01DZzRfwYN1Q3sGNhRPpmRKWrytqyHrssg/Im96Xz//jS9/+OE5p5aFoFHGEUJjFxpThUREakYCj6KSCWZArySw/6vAJMLNJaCa5nRQtfiLsJrw3Ru7hwWtMtmaXbW8lAXMF1zmW3925gWnMYlR1wyqtfIJP4zO/vOs1m1dhV90eErYgebz6RrtgNe4PETn4CbbhrZMr7kpYA7dmTuLF7s2oxarjhS42ouytaoljenuxgwis9HukBY3I7+Hd7tgHdb0CXCuUhTkzfYCwtu+Sfc/SpU/QnaDvQuJJWBvP5tSqdA7xkRERHJPwUfRaSSbAdyOQsMAjsKNJaiCNYF/Ts04y0zXrTav15jKWp/Fe2EM4NgXZC9gnv5Bh4hlnnz8pPQ/I7UzXYAamrgl7+E3/7Wq4vZ1pb9yX1SkwgCAW95d1+K8oC5dBbPF78x5vp9jl/jbi7KZNR1/tJdDBjF5yPdvJTJ4IWKFHNwwaWryRtXzEy/LC9WFO1vU4HeMyIiIpJ/qvkoIpXkBWBuDvvPBdYXaCwlF19m3FjXWLB6ipGeSNZ10LKpU1ks8YCDn0AvNH3nKpgxw8tuTCVeC7K7e2h539atmV88cSlg/MS4uzt14BGgoSG/tSUzSTXGXL7P8U1zUZJR1/mLZ/n5GUXt1XTzUibDlghHIrB8OSxZ4t1GcqsLGemJsPzPV7LksqNZ/tWjiVxzZfrn8KvJm0o8069QcqitWIy/TUDB3jMiIiKSf8p8FJFK8gDwJTOb65xbk25HMzsY+ADw42IMrFQyLc0ejVyXUGZTp7JY0mbeOAj9vQdOOAFuvtm7jWf/1ddDT4//k2a7jC+bWpLJduyAj30st8eMhpYrjtYDaC7ayajr/KXL8stUezVNRp7fvJStnTK2R5kp3L6+ndYbjiK6fRvddRAAFj2/mrb3foWWY8/1dvLLJkysyXvttfDXv/q/QCEz/UZQW7GQf5sGjeY9IyIiIkWl4KOIVJIrgbOAX5tZq3PuH347mdkBwK+BAeDqIo6vJIJ1QU6cfSLhdWGe2fQMN629KfsmDymMdAllUU44szAYcLj+SKI9O7yT/R4v3b9tpVcvjdoovPDCzs12HnsM7r7b/0mzPbnPVEvST0MD3Hln8QJ+lbZcsfxqU467uShTI5lRl12IZ/klB/iqqrztqZYTZxEUTJyX1r26jp/8/SeDdR7TGczYzjb4luJ9GumJ0HrjfCID2yBWF7e7Pvbw47bTddml3pyUKqAZr8nrHKxd6//ZHWmmXzafrRFerEhXNiQvRvqeERERkaJT8FFEKoZz7mkz+xZwEfComd0M3AdsiO0yHZgHHA/UA99wzj1dirEWU7YZirl0oc1mCWWqk8qCn3BmqWVGC13d/0H4Dz+kcxI0bYbQuljgEYaCbInNdpYvh4ceGt3JfZomESnt2FHcgF+6MZbbcsUyrE053uaibOaYvNT5S8zy6+z03oehUOogUg4ZeYnz0nGzjtvp+2moaWBH/46dul3vlLF9w/LMwbf990/5Pg1PfIpoirILUSA8GxY8mjD2efPgssvg1FN3DgTmO9Mv289WOV+syPU9IyIiIiWh4KOIVBTn3LfMrB+4EDgZOClpFwP6gK855wrbWrkMZJuhmOsS6qyWUJZfNtowwebZLLgqhyBbPk7us2kSkc1YRiqb30ulLFccwXLPYhkvc1G2c0zeyi4kXgzIZIQZeX4Z2h97+8e485k7/TO2MwXf1q2D885L+T7tuOl0uvEv59BdD52Tkjb29sLixfDVr+4cCMxnpl8un61yv1iRy3tGRERESqKkwUczOxq4AqgGljvnlqXY73jgZuC9mWoricjY55y7+P+3d/fxcdVl/v9fV9oktZMRaUFhWypgItr2u6xsRHfN15ulCowKKiwD1hXXKF+52d+W1N1G5aus7i7YVdzuWtRu1xW1ymhZlq4ECyh83ahIy43YIpCAWEoqN63iNG1z0/n8/jgz6WRy5jYzc84k7+fjkUcyM2cm15nMfHLONdfnc5nZJuCDwBuA49M37QH6gf9wzv06qPjqqZQKxQuWXVD2FOqiUyj3Oa/ZQIiq0XyVm2TzOblPvmQ+iaWHGfjQO+l4rIQp7fkSBGbe5QMHSoulEqVWMjXKdMWQr005G8aicqqgc5N6i1+8GIfjvx/9bx55/pFpLwcxxTQq8vwqtLtP656oEP/M//vMkQrxYsm3vXsLvk47BvcSodU3ARkZ8aqypxgd9b5yE4HVqvQr573VKB9WNJKQf3inczQREam2wJKPZjYHWA+8FW+a0jYz2+Kcezhnuyjw10CeFbZFZDZKn9B/Kug46slv2nQpFYqVTKEuOIUSI37pekhmdUQOSTXaFJUk2bJO7vsfv4vYvJtIzZ3L8K5vEdlzS8GKUb/HmJQgePDB2iX8yq0SbITpimGe7pk208eiYmPMTQ/fxAXLLphIKmaSeuVWW1ekyhV5eWN+92a6mvJ0zG5qgoULC75O43sW0hNthrGpyccmvOUg8vJLslej0q+c91Y9PqwIeTKuqkK4lEQ2naOJiEgtBFn5eDow6Jx7AsDMbgTOBR7O2e4zwGeBv6lveCISVma2BHgt4IBtzrmnAg6p5nJPilvntHL5rZfzlpPewvzm+RwYm1pNl2ny8Njex8ruQltwCuWLL6VtZL1/oBVWo5WzHmXZKkmytbWRfN8FxK67kuToIW/yLKU13cl+jCnPQyWxlHpSXkmVYNinK4Z8uudsGIsKVUED3PHEHRyz9hhWvX4VV73xKqKt0YobVpWtUEWeGRw8CGvWlJTMKhjzzecztGUzbeec7598e+SRgq/TaPsy+t562+Ru17kNsPIplGSfTsKu3PdWLT+sCHkyrqpCvJREFp2jiYhI1QWZfFwEZB+k7wZel72BmZ0GnOCcu9XM8v5jM7NLgEsAlixZUoNQRSQszOxzwCq89dQAnJl9wTlX04PfUqcg1YLfSfHIYa+CZuvjW/PeL9Pk4cYdN1bUhTZv5+r/+5mqVqPVpUKqgiTbdJruVC2Wck7KG6BKsGwhnu4Z1FiU/t11G48KVUEDjLtxcLD2J2u5ftv13Pa+23jk+UdKWg5i2h845KvIS6W8r97ekpNZRd/vL36K7nzJt1NPnXidJlsgsRwGFkDHPog/aUTjcbra2hj622dI3HcDg7d+k/Y7txHfabQdGC+8j/mS7NNN2OW8tybFfWCc+LtjTPlr1OLDisZIxlVPyJeSSNM5moiIVF1oG86YWRNwHfCBYts65zYAGwA6OztdbSMTkaCY2UVAD16V0SN4J/2nAD1mdr9z7ts1+r0lTUEqV6nVfoVOirNlEoy5TR6m04XWt3N1oYqZ+fO9k8VqVBtVs0KqAiU13amlck/KQ14lWJGQrk0Z1FiU/t01GY/yya6CHjk8wujh/GV6+8f2E9sU40Onfajge+euJ+/iyq1XVucDh9yKvMWLvaTj/vKWhSjp/Z4v+ZZ+nfZ/+G3E3n2QFF4jmcgo9LwoRd++B+lq6/LG0+XvhzM/BsnDpe2fX5I9Z2xItkDilGEvcbhmBfH//hXRBcf7PNjUmInF6D9+jNh5h0gZXlVmk9HzlVOq+wFQPpUk4xp5ivYM+JBI52giIlKJPAvY1MXTwAlZlxenr8uIAsuBu83sSeD1wBYz66xbhCISNh8CxoEVzrllzrmlwJlACqhlqcDEFCTn3CiQmYJUsf5d/Sy6bhGrvr+KtT9Zy6rvr2LRdYvo39U/ZdtCJ8UZ8+fO5/yl59P7hl7WnbWOodVDEyeNmeRBtCVKpDkCeInKaEu0vC60GfG4d0Ls58ABuOkmWLsWVq3ymtL0T92njFKqC3MlR5JsvH8ja+5Yw8b7N5IcSfrce/oy0039FKoYzTatWEs5Kc9W6O/SyE0hMsmldeu8pNK6dd7lYKdjBjUWQQ3Go2IyVdB/duKfFd025VLsPbA373tnfvN8Nj+8meRocmJcGx4bJjnqfRCxf3S/7/0KyiQFr7kGWlvB5clx+L1v0qb7fk++9lRifzGHZKuXeAQvkZc8fGBiv5IjSTZ+9QrWdB1k42le0nCK1vSdI5EjCcLcZOkNN8CIV/3evwQWrYZVZ8LaLlj15hEWffFk3/8lU3R1kXzyUWIr8eJOxzOcOjS9v0dGMgkbN3ofRm3cOPmDlIxyk3H9/d7/lVWrSv4/EyqZD4n8hOdDIp2jiYhI1QVZ+bgN6DCzk/D+oV0IvDdzo3PuBeCYzGUzuxv4qDqpicxqfwjc4py7K3OFc+5OM7sFeHMNf2/RKUhQ+vSicqv9iq25BnBg/ADHtx3PNSuu8b097xTqSqoK/arR5s8/0sU5cyJZrWqjLHWZop02nYrRqsRa7kl5SKsEqyJ8a1MGNRZBaVMiqz7Vsa2ljfOWnsf/7PqfgmPR8NgwC1+0kCbzT4SnDo8z59Ao+CTeprWcQUaFlWXTfb8ndiZI4Z/0TLkUf/+jv+f6bdeTGjnE8OvGiYxAz5nemo9du7I2/rM/86Zx51tTsb8fVq+G0VGSLUwkDid2sQVwh0quHE88eSupuXMm1rXNjbviv0ep08LLqdieCVO0Q7yURBado4mISNUFVvnonBsHrgC2Ar8EvuOc22lmnzazc4KKS0RC7Wi8KY65HgFeUt9QpnLObXDOdTrnOo899ti825Vb7RdfFs97Ip9RSmVOZgr1NSuuofu07rwnpSVV6+VWo51/fv5qjqLVRvNL2qfspO2UiqmvvZX9a67MX11TgelUjBaMtdRqokoqZMJSJVhKxVNjmxFjUblKHYuWvXSZ/3unuY337DjMAb+KP6q0nEGFlWXlvt9zx8mdz+4s+EHKdT+5zhsPzMvyDbd6ScPYStifeT4iETjvPK+Cs7t7aiItk3wb9aa+J5Z7pbZ+8lWO56rJ8hLZScLsD6My12dPiS+nYrvcavAwynxIFI0eeZ0WqnINgM7RRESkFgJd89E51wf05Vz3yTzbvrkeMYlIqDXhW5/BGEeaPtRCsSlIZSn3ZC9zUnz2prPzJq1KqcwpRVnVetnVaGvWVFZt9Psl9Ow/AK1Tb8vdp4JJ25FDJO74Z7rXV7dL6qSK0d88TPvA88SHFtB2+yMQPzXvOmOlNqspuO5npRUyQVcJzo7OtUGNRVDl8agc5YxFbS1tU6uttx/kxl2rueUVhyemJmeLWGtJyxkUNI3KslIrxP3GyfHUOPPmzuPQ+CHfxx5zfi8XL3mYWAbdD0yOz3dsyEm+DSzA93mE0hOHhSrr58+dz1ByiDV3rCmvKVA56ziWU7FdSVVrGNeHrGXn8CrROZqIiFRbaBvOiIjkEcSC5QWnIJWr0MlevgrGriVd7Fm9h7//0d9z3U+vw8wYPTw6pbnMdEyr+UslzU6SSaLnnE/f0V71z0SThhEvs9MX3zzp9xVM2rbA4AJqMgWvraWN7gOnwIVXlpxQKyXBXDTR24jTqGfCtMjSBdU8oarjEZTe/ArKG4umNKxKrCF+/yg9b/GPoynlpv8hSgnvm0L769tkK0uhcbISw60w+LK5EH3RRHxTxgZa6dlyOX07/4iurDG2Y583Xvomcktcl7bQdPMD4we46Zc3lb9sRLlJwlKTceX+nwnzByFBf0gkIiJSZ0o+ikijudrMrva7wcz82oc659y0xjrn3LiZZaYgzQG+6pzbWenjVbq2WFtLG9euuJar3nhVddZuzFFqtZ6vSqqN0tUxXbtg6PNe9c/gAmjfB/FfzaftFU/Bq45sXjBpO+Ld70jAebqkVqKChFqxBPPiFy8uLdHbABUyk1TSubZx1X0sSj9IVcejStYmrXgs6ugg2hyhb9Ow/wcOi6+sTnf7Au+b6a7FWmicBGiiiVTeydBTRVwz7We/F777xYnE6JSxgREwiHXcy1ALtKUbjsd3eOtG+sZRYjV8djfzzHMyf+58Dox7a/hmLxsBJXwQBXDCCflvA68jea5SknHl/J+ZXR+EiIiIhJ6SjyLSaMqd0liVKZB+U5Aq5XeyV04FY7HKnEpNa+2vSqr0sqpj2kbT0w4nHJhSHVMwaQvEs9MvBaZ6l62ChFqxBLPDlZ7obaQKmQqbfTSoQMYiqN54NK1qZyoYi9LJI98PHH7dRtuvr6p4X6YGN/V9U8n+5lZJFlrbESgr8QjQ1DqP+Ee+COnfW/BDILKmaAPRUa9hTWwlpMyrAK+kGj53uvlQcmii4nFKDNVoCvT445Xdr5z/M7PrgxAREZHQU/JRRBqGcy6wJlnVVtXu01VSyXTwScqt0uvoIPmS+SROPsDAAm8KYXyHd0LtN4XON2k7Ck3OOwHPVAN5AedvLFG2ChJq2bEedoc5MHaA5qZm5jTNYfOfb+YHv/pB9Zs8BCF3PbUTTih/+n0Dmilj0bSqnSuRlTxqS6XofqDGSwnkvD4TSw+Vtb/51nacY3M47PyKWz2Fbm+Z01JwyYyCHwK1ppeXAGhpgdFRuvZGGPqKkfjS5QwusKn/S5JJuOEG+N73vMvveAdcfPGUdQ+zE8lr7lgzvfHpqacK375+PXz605X9vUv9PzO7PggREREJPSUfRUQCUqsKxkpVOh18kjKq9Pq7lhC79MCkqZc9Z3qJxK7f+k/VntIA5u/XE79vZHLiEYo2lihLJetZpmPdfMFmzvn2Ocy1uYylxmhuaub8757Ppa+9dHqJ3jDwW0/NLH+1UTX/JlIVNel0XEy9lhLweX0OvGmU4dP9G7/k7u901nbMl+Bsa2nj2jOuZffvd+f9wKljH0RGvSrGXJOWlzjjDDj1VGhvpy0ep9vv+evvh7e9DQ4ePHLd1q1eg7CtW737+zRjmfYHUR0dE8lRX2bTqzws5f9MheO2iIiI1IaSjyIiAkx/Ong5kiNJYjefTzKrUUKmaUJsJQy9bTNteZIRk5K2L363l2Bo9hIMyZfMJ7H0MAMfeicdj91YenfWrLimNKKosHtuciTJ+d85n5HDIxPXZdZRu/7e6zHzn4Vbrc7lNVVoPbX5873kgHON0SRnFpt2kqlStV5KIM/rs+M3+RN785vnM7T/SGfnQ+P5qySbrKnguo9ntp/Jj3f92HccLbiuZDJJ/LLr6fk//jdPLC8RicB55xV+DpNJOPvsyYnHjAMHvKTknDmT36fpZizx107zg6h4HC67LP/tIyO1rzycRtdzERERqT4lH0VEZEK9poMndiY4nPKflphqi5B48VOUlJrIqqLqf/wuYvNuIjV3LsO7vkVkzy1lNZLof+R2Yt85l1TqMMM2RqR5/pH7V9B1utCUVofjis4ruH779TVP9NZEofXUzODaa2HevMZokjOLVaXaOYzyvD4LNWg5MHaAzTs3c2D8AJHmCKOHRxlL+VdJFko8AvzHuf9BW0tb+eNoIkF0xHHtnXB5LH2dMdFX/do708tLtJaQPEsk8lcewtSkZFYzlujQ0PQ+iIpG4corYe1a/9vrUXlYyTrEIiIiUjNKPoqIyCT1mA5+16/umqgCzFX2dM+2NpLvu4DYdVeSHD0EY0ceB0prnJG8+3Zit5/pVWJa5v4HJt+/zKmixaa0mlno1v0sWbH11HbvhmuuqW9MUrZ6VjvXVZ7X50SDlr9sIdXS7HV2bp7PgfR7PbfDcz6R5gjvOuVdbNqxacpt62PrOa7tOIDyx9GBAZJjw/SuYHJ7ovTPvSvg/Y+30XZLCcmzgYHCycd80s1Yurq7pzc+XXUVXH897N8/9bZ6VR7Wa4q/iIiIFKXko4iI1FVyJMl/PvKfeW+fP3f+xHTP3GnQsfYYfYN9k6dFt0an1zgjmSTxiXNIvcn/5tTIIRJfupzuD36xrKmipUxpDdu6nyXTemozRhibX01bgddn194IQ4s+S+KP53mdnfcPTVQ8lqrJmvjyO7/M5878HL139vLo849yyjGncO2KaycSj5XGnTithRT+ScNU81wS37uW7j8pXslddN3FfLKasUxrfIpG4bbbgq88rPUUfxERESmJko8iIjOM77qFZax7WGuJnQmaLH+z4MPuMPHl8SmdZufNmceHD3+YeXPncWj8EJHmyMS06Gk1zkgkGDjq8MSak1Pub2MMfv9b8H9v9k6au0o48WcGT2kFrac2wzRsEjyfIq/PtosunmjQsuaONQUTjy1zWmhu8qokW+e04pzj0s5Lcc5xXNtxfO1dX6tq3AM3X5Z/LGoaZ3B4d8mPxZVXlp98nDeveh8eqPJQRERE0pR8FBGZQXITdtkJulLWPayHgb0DE9Mc/Zy/9Hycc1M6zR46fMj7Pu59z55W/Y9n/GPljTMGBuh4ZpzICL4n/ZERaH9m/EgTi6Eh7+Q5mfTtFJtR6ZTWsCePAa2nJuFWxuuzWIXyZ1d8lqd+/xTX/fQ6HI7R1Cjrt63nS9u/VP1xNRql4/1XEnlorX+363KaAGUqD3O7XYOXYDx0yP9+hw7B299eXtyFVLPysMiYWxdhiEFERKQBKfkoIjJDJEeSUxJ25ax7WC/FTvbfcuJbCk6jzpVyKQzLW01pZhwcPzjRxXZKMq+jg/iG+fTgnxCd6DALE+uhccopUxMb6U6x2ZWR5U5pbYTk8QRVNUmNTSsRX+Lrs1iF8nte/R5O+eIpk5rP1HJcjb/rKnoevx7Gpq6VWHbFdFcXPPss3HAD3Hqrd93b3+51uP6bv/FPQM6b520btqnK/f0ljbkzPgYREZEGZc65oGOoqs7OTrd9+/agwxCRaTKz+5xznUHHUakgxqKN929k1fdX5U3qrTtrXSimViZHkiy6btGkJGlGtCXK0OohPvP/PsPan+TplOqj9w29vP2Vb5+SuHM4nHM0WdOUysOJZF4yCYsW0X90kthKSOFVQEZGvMRj3ybo2pX1y668EjZu9O43ZQeiRyojy1TK8xKG5PFso7EoGH6J+Cnv3Tr8rkeef6Tu42rN933NmvydqAF6e2vTMKrSqsH0GF3tMbcsIYhBY5GIhEGjj0USHFU+iojMENNa97COSpmOXKg6MlekOcLiFy/mkecf4UOnfYi9B/ay8EULecWCV9B7Zy/7x49UEPlWLKWnaHbFYgx96TCJkw4wuADa93kVj23ZS6ZFIrB3r1f54idTGVlB1dC0mubUkqYZSp3Vu4q7UIXy5oc3131crXkToCAaRk2najCRqMmYW5YwxCAiItLAlHwUEZkhSumuHBbFTq7fuOSNjIyPlPRYKZei9we9OOcmJTIv7bwUh391/5RkXnqKZlsiQffOnfClL/lPSWxqgoUL/U/aYVKn2HKFMnlcKGFw6qlKSkpNBJGI92u607+rn6/c95W896nluFpWE6ByPyCod8OozHq52VWDmTE0ex3dfAYGio+5tf6QpJQYREREJC8lH0VEZohG666c7+T6+m3Xc3nf5VOun2tzGXfjk7pdG0aKFPtHp1Y3/vM9/8xoyr/Tq28yL7sxwnvek79ZxSOP1KRqKHTJ40IJgz/7M2hpOXKd1j4TqtcsKQyJ+Ez1ZabBlZ9QjKuVVBTWu2HUdKsGi1VqOudNia7lWoxBVIuKiIjMIEo+iojMEJV2Vw6Tod8P+SYeAcbdOD//Pz9n29C2iWrJg+MH6b2z13d7M6NlTgujh6cmIIsm8wo1qzj11JpUDYUueVwoYTA25n1llFPFJDNSNZslhSERX6zpVeuc1uDH1elUFNazYdR0qwYLVWqawfr1sD+rQU8txqN6V4uKiIjMMIEmH83sLGAdMAfY6Jy7Nuf2HuBDwDjwHPBB59yv6x6oiEiDqPlaYWXKroQ64agTODR2iDt/dScA73jlO7j41IsnVUZ97AcfK/h4191zHV9719cmLq+5Y03eCqmRwyM0NzX73lZSMi+7EjJbjaqGqpY8rtb0w0IJg3y09tmsVO01GsOQiC9UfQlw+emXB9+BfroVhfnGuGqbbtVgoTH30ku95KOfao5H9a4WDZjO0UREpNoCSz6a2RxgPfBWYDewzcy2OOceztrsAaDTOXfAzC4F1gL6aFFEpICy1gqrodxKqFxbH9/K397xt9z+F7dPnMQ/8vwjBR/z0ecfnXS5WIXUFadfwfXbrs9K5s2naTxF3+/fSdvXb6w8MVejqqFpJ4+n09QhV6GEQT5a+2xWqvYajWGo4i42tiw9ZmnNYyiqUdYhrEbVYL4x9zOfqd9zUM9q0QDpHE1ERGohyMrH04FB59wTAGZ2I3AuMPGPzTl3V9b29wDvq2uEIiJSEb9KKD8Hxw9y9jfPZs9H99DW0sarjnkV9w7dm3f7U445ZdLlYhVSV73xKq5641VeMu+hu2jfsJn4L+fQ9rtvQeSW6a0LVqOqoYqTx9Nt6pCrUMIgH619NivVYo3GoKu4A62+LLV6uVHWIaxW1aDfmFvv56Be1aLB0jmaiIhUXVOAv3sR8FTW5d3p6/LpBm7zu8HMLjGz7Wa2/bnnnqtiiCIiUoli66VlG02NktiRAOCaM64puO21KybN/JqokIq2RIk0RwCvKinaEp2okGpraaO74wKu+f+20P3TEdp+d8C78/Cwd5K/YgXs2VPmHoZQegpmsgU2ngZrVnjfky0cmX5YjkzCoLW19Pto7bNZKVMl6Gc6azRmEvHXrLiG7tO667p8RCljS03093vNU1atgrVrve+LFnnX54rHvfecn7C9FzNVg+vWQW+v931oaPoNYRrpOWgcOkcTEZGqa4iGM2b2PqATeJPf7c65DcAGgM7OTlfH0ERExEex9dKyjR4enaiM+oMX/wHrY+t9m86sj63nuLbjplxfUoVUobXRRkbg5JPhjjsau1PzwAD9C4eJrYQUMNwKkRHoORP6Ng3TVcn0w64u+NWvvOfnUP6uvzN57TMpLgxrNNZC3rFlxMHGjdNfVzVXudXLjbYOYS2qBhvtOZhhdI4mIiKlCjL5+DRwQtblxenrJjGzFcAngDc550bqFJuIiExDofXScrXMaZlUGXXZay/jPa9+D7139vLo849yyjGncO2KaycSj9lNbDoWdhBfFifaGi08VblY85RDh6rbGbVaTV/K+ZWvOIHYSkhmFSoOp3+OrYShkxZT0Z4df7yXmM09uTeDyy/3vs/Qtc+kNGFYo7FWpiyDUM11VXNV0kBmlqxDWJCeg2rTOZqIiFRdkMnHbUCHmZ2E9w/tQuC92RuY2WuArwBnOeeerX+IIiLhlS8JFwaFKqFytTS1TKmMOq7tuEldrTNym9hEmiP0bO2hb2Vf4c6zpTRPqVZn1FomJwpILIdUnl6jKfNur3jPdHIvRQS9RmNdVHtd1VyVNpCZHesQFqbnoJp0jiYiIlUXWPLROTduZlcAW4E5wFedczvN7NPAdufcFuCfgDbgu2YGsMs5d05QMYuIhEXFSbg68auE8vOiuS/itvfdVlKCwq+JTeZxY5tiDK0eyv84pTRPqUZn1FonJwoYGH6K4Rb/24ZbYHB49/R+gU7upYiKmyU1ikoqE8vRKA1kZEbTOZqIiNRCoGs+Ouf6gL6c6z6Z9fOKugclIhJy00rC1VFuJdTiFy9m5PAIdz5+Jxi8vePtXPxHF5cca6EmNimXIrEjkT/xkVkXbMUKb41HP5EIyZMXk7h/Y95q0qLVprVOThRQaKr7dJp+iEhapZWJpSr0IYmap0gd6RxNRESqrSEazoiIyBHTSsLVmV8lVM+flDYdO1ehJjbDY8MTTWvyKtI8pf+EFLHnekl93/lWk5ZUbVrr5EQBM7XphxxhZlcDHwYybWM/nk4SSD3UujJRzVNERERkhmoKOgARESnPtJNwDSpT2een5Mq+TPOUaNQ7qQev4nFBG7GVRnJs/8RzOzw2THLUqzLdk9wzUW3qd/v+0f3pIDuOPO6UIGs7bTIz1T3aEp14niLNEaIt0YZv+iGTfME590fpr8ATj8mRJBvv38iaO9aw8f6NJEeSxe/UqOJxLxHop1qViZn1Vdetg95e7/vQUE3XixURERGpNVU+iog0mNk6vbZqlX0+zVMSrz5I6u5eODx185RL0Xtnb2nVpgFPm5wVTT8kNMK+9mzV1asyUeurioiIyAyj5KOISAFhnOY4W6fX+jWxiTRHaLKm8iv7ck7uB+5YU7Ca9NG9j5ZWbRqCaZMzvumHXGFm7we2A6udc7/N3cDMLgEuAViyZElNgmiUtWerTp3fRURERMqm5KOISHFfcM59LuggMqqahGswtarsK1ZNesrCU9jx7I7Sqk2VnJBpMLM7geN8bvoE8CXgM4BLf/888MHcDZ1zG4ANAJ2dna4WcTbS2rMlSya99+3AgLeEQjzufaCQS5WJIiIiImVR8lFEpAHN5um1tajsK1ZNeu2Ka7n5kZvz3j6l2lTJCalQqV1kzezfgO/VOJy8Ztzas/39UyuWe3q8imWttygiIiIyLUo+iogUV3SaI9RnqmM2Ta+tnmLVpMdHj5+11aYSHmZ2vHNuT/riu4EdQcVSqFoYwFGTgsvaSCa9xGMyq1lOpqN1LOZVMqtyWURERKRiSj6KyKxXjWmOUJ+pjlI7xapJZ3O1qYTGWjP7I7zx6Eng/wQVSHxZnCu3Xpn39vX3rueqN17VGO+PRMKrePSTSnm3q5JZREREpGJKPorIrNco0xyl9opVk6raVILknPuLoGPIiLZGuazzMtb+ZK3v7Q7XOOs+DgwcqXTMNTzsrd0qIiIiIhVT8lFEpIAwTXOUcEmOJEnsTDCwd4COhR3El8WJtvo0pxCZhRpq3ceODm+NR78EZCTiNY3KVmpjGhEREREBlHwUESkmNNMcJTz6d/VPWf+xZ2sPfSv76Fqi5hQyOxTrEj+pC3yYxeNecxk/TU3e7RlqTCMiIiJStqagAxARCTPn3F845/6Xc+4PnXPnZFVByiyVHEkS2xQjOZqcSLoMjw2THPWu3z+6P+AIReojvixOk/kfSvp2gQ+raNRLHkajXjIRvO+Z6zPNZrIb02SqJIeHj1y/X+99ERERET9KPoqIiJQhsTNByvk3p0i5FIkdiTpHJBKMTJf4aEuUSLOXtIs0R4i2RBuvC3xXl9fVet066O31vg8NTa5mLKUxjYiIiIhMoWnXIiIiZRjYO+A7zRQabJ07kSqYUV3g29oKd7VWYxoRERGRiij5KCIiUoYZs86dSJXMmi7w5TamERERERFA065FRETKMmPWuROR8sTjXgMaP7mNaURERERkQqDJRzM7y8weNbNBM+v1ub3VzBLp239mZicGEKaIiMiEGbXOnYiUrtTGNCINTudoIiJSbYFNuzazOcB64K3AbmCbmW1xzj2ctVk38FvnXLuZXQh8FtDHyiIiEqgZtc6diJQu05gmkfDWeGxv9yoelXiUGULnaCIiUgtBrvl4OjDonHsCwMxuBM4Fsv+xnQtcnf55M/BFMzPnnKtnoCIiIrlmzTp3IjJZscY0Io1N52giIlJ1QSYfFwFPZV3eDbwu3zbOuXEzewFYCDyfvZGZXQJckr44YmY7ahJxfRxDzv41IO1D8Bo9foBTgg5gOu67777nzezX6Yth+HsohvDEAOGIQzEcUSiOl9czkGrTWBTaGCAccSiG8MQA4RiLdI6WX1heJ5Vq9Pih8feh0eOHBj9Hk+DMiG7XzrkNwAYAM9vunOsMOKSKNXr8oH0Ig0aPH7x9CDqG6XDOHZv5OQx/D8UQnhjCEodiCF8ctaCxKJwxhCUOxRCeGMIUR7XMpHM0aPx9aPT4ofH3odHjh8Y/R5PgBNlw5mnghKzLi9PX+W5jZnOBo4C9dYlORERERERkdtE5moiIVF2QycdtQIeZnWRmLcCFwJacbbYAF6d/Ph/4odYSERERERERqQmdo4mISNUFNu06vT7IFcBWYA7wVefcTjP7NLDdObcF+HfgG2Y2COzD++dXzIaaBV0fjR4/aB/CoNHjh5mxDxlh2BfF4AlDDBCOOBTDEWGJo9bCsJ+K4YgwxKEYPGGIAUIQh87RCmr0fWj0+KHx96HR44eZsQ8SANOHVCIiIiIiIiIiIlILQU67FhERERERERERkRlMyUcRERERERERERGpiYZNPprZWWb2qJkNmlmvz+2tZpZI3/4zMzsxgDDzKiH+HjN72MweMrMfmNnLg4izkGL7kLXdeWbmzKyznvEVU0r8ZnZB+u+w08y+Ve8YiynhdbTEzO4yswfSr6VYEHHmY2ZfNbNnzWxHntvNzP4lvX8Pmdlp9Y6xXOlx58H015Nm9mCe7Z40s1+kt9tegziuNrOns2Lx/duX+j6uMIZ/MrNH0n+7m83sJXm2q/pzEfT/CDM7If3ey4wff+2zzZvN7IWsv9EnqxlD1u8p+PzW+n1mZqdk7eODZvZ7M1uVs01Nngu/McbMFpjZHWY2kP5+dJ77XpzeZsDMLvbbJuzCMB5pLAr+eDUs45HGotkxFoXhNT9dJexDqM/TSh1PLaTnaND452klvIZ0jiazj3Ou4b7wFj9+HDgZaAF+DizN2eYy4Mvpny8EEkHHXWb8bwHmp3++NEzxl7oP6e2iwI+Ae4DOoOMu82/QATwAHJ2+/NKg465gHzYAl6Z/Xgo8GXTcOfG9ETgN2JHn9hhwG2DA64GfBR1zmfv3eeCTeW57Ejimhr/7auCj030NTTOGtwFz0z9/FvhsPZ6LMPyPAI4HTkv/HAUe84nhzcD36vA6LPj81vN9lv7b/AZ4eT2eC78xBlgL9KZ/7vV7XQILgCfS349O/3x0rf9WNX4dBDIeaSwK/ng1LOORxqKZPxaF5TVfh30I7XlaqeMpIT1HK+NvENrztBLj1zmavmbdV6NWPp4ODDrnnnDOjQI3AufmbHMucEP6583AGWZmdYyxkKLxO+fucs4dSF+8B1hc5xiLKeVvAPAZvAP9Q/UMrgSlxP9hYL1z7rcAzrln6xxjMaXsgwNenP75KGCojvEV5Zz7EV6XxHzOBb7uPPcALzGz4+sT3fSkx5sLgG8HHUsBpb6PK+Kcu905N56+WM9xLPD/Ec65Pc65+9M/J4FfAouq9fhVVs/32RnA4865X9fo8SfJM8Zk/+1vAN7lc9czgTucc/vS/wPuAM6qVZy11gDjkcYiT02OVxtoPNJYNFWjjUWheM1PU6OfpzX6ORo0/nmaztFEfDRq8nER8FTW5d1MPYia2CZ9wPkCsLAu0RVXSvzZuvE+WQiTovuQLr8+wTl3az0DK1Epf4NXAq80sx+b2T1mFraDvVL24WrgfWa2G+gD/qo+oVVNue+VMPnfwDPOuYE8tzvgdjO7z8wuqVEMV6SnQnw1z3Suej6/HyT/OFbt5yJU/yPSU8peA/zM5+Y/MbOfm9ltZrasFr+f4s9vPV8HF5I/AVaP5wLgZc65PemffwO8zGebRh57/AQ9Hmks8gR+vBrweKSxaLKZOBaF7jVfgUY/T2v0czRo/PM0naOJ+JgbdABSmJm9D+gE3hR0LOUwsybgOuADAYcyHXPxSvrfjPeJ5o/M7H85534XZFBlugj4mnPu82b2J8A3zGy5cy4VdGCNzMzuBI7zuekTzrlb0j9fROEqoy7n3NNm9lLgDjN7JP0pY1XiAL6E96m2S3//PN5Jd1WV8lyY2SeAcWBTnoeZ9nMRVmbWBtwErHLO/T7n5vvxpvztT6/18194Y061heL5NbMW4BzgYz431+u5mMQ558zM1fr31FIYxiONRY0hBONRKJ5fjUVSLY14njZDztGg8c/TdI4ms06jJh+fBk7Iurw4fZ3fNrvNbC5eOfPe+oRXVCnxY2Yr8A7c3+ScG6lTbKUqtg9RYDlwd3omxXHAFjM7xzlX9eYaFSjlb7Abb/2KMeBXZvYY3j+5bfUJsahS9qGb9PQc59xPzWwecAwQpqkJhZT0Xqk359yKQrenx5z3AH9c4DGeTn9/1sxuxpuiUdZJWLE4suL5N+B7PjdN+/kt4bn4APAO4AznnO+JVTWeixyh+B9hZs14J/qbnHP/mXt79sm/c67PzK43s2Occ89XM44Snt96vc/OBu53zj3jE2Ndnou0Z8zseOfcnvQUIb/x8Gm8E5qMxcDdNYhl2sIwHmksyisUYxGEYzzSWDTFjBqL0kLzmp+GRj9Pa/RzNGj88zSdo4n4aNRp19uADjM7Kf3p5YXAlpxttgAXp38+H/hhvoPNABSN38xeA3wFOCdka1hkFNwH59wLzrljnHMnOudOxFsPJUz/1Ep5Df0X6QM+MzsGr7z/iTrGWEwp+7ALb10jzOzVwDzgubpGOT1bgPeb5/XAC1lTlMJsBfCIc263341mFjGzaOZnvGYIvt3kKmWT1115d57HL+U1NJ0YzgL+Fu+9fyDPNrV4LgL/H2HeEf2/A790zl2XZ5vj0tthZqfj/U+udgK0lOe3Xu+zvNV39XgusmT/7S8GbvHZZivwNjM72rxpwm9LX9eIAh2PNBYFf7wahvFIY5GvmTgWheI1P02Nfp7W6Odo0PjnaTpHE/HjQtD1ppIvvA5Lj+F1kvpE+rpP4w2e4L2BvwsMAvcCJwcdc5nx3wk8AzyY/toSdMzl7kPOtncTvk5qxf4Ghjct4WHgF8CFQcdcwT4sBX6M12XtQeBtQcecE/+3gT3AGN4nmN3AR4CPZP0N1qf37xdhew0V2K+vZfYh67o/APrSP5+c/pv8HNiZ+dtVOYZvpJ+zh/AOEI7PjSPfa6iKMQzirQeTGce+nBtDrZ6LEt4bNf0fAXThTTN9KGv/Yzmv7yvS+/xzvIP/P63B68D3+a33+wyI4J3AH5V1Xc2fizxjzELgB8AA3v/aBeltO4GNWff9YPr1MQj8ZbWfk3p9BT0eaSwK/ng1DOORxqLZMxaF4TVfh30I9Xlasfhztr27Fu+1OvwNQn2eVkL8OkfT16z7MufC9EGTiIiIiIiIiIiIzBSNOu1aREREREREREREQk7JRxEREREREREREakJJR9FRERERERERESkJpR8FBERERERERERkZpQ8lFERERERERERERqQslHERERERERERERqYnAko9m9lUze9bMduS53czsX8xs0MweMrPT6h2jiMx8GotmJzNzOV+Hzex5M/uhmb23wP1eZWb/amY7zOwFMxs1syEzu9XMus2sNWvbhWb2ITO7Of36OZi+T396W30AKDLLaSySMNKxkYiIVJs554L5xWZvBPYDX3fOLfe5PQb8FRADXgesc869rr5RishMp7FodjKzzD+/v0t/bwZeBZwLzAG+4JzrybnPJ4FP4X1w91NgO95r52XAm4GTgfucc53p7T8CfAnYA9wF7Epv+x7gKOAm4M9dUP+IRSRwGoskjHRsJCIi1RZY8hHAzE4Evpfnn9pXgLudc99OX34UeLNzbk99oxSRmU5j0eyTOeF3zlnO9WcAd6QvnuycezJ9/ceBfwCewjtJ/5nPY74DWO2ce0v68p8BEeBW51wqa7vjgHuBE4DznXM3VXfvRKRRaCySsNKxkYiIVFOYk4/fA651zvWnL/8AWOOc2+6z7SXAJQCRSOSPX/WqV9U0bhGpvfvuu+9559yx9fhdGotEJJ96jkW1cMwxx7gTTzwx6DBEZJrqPRZV49hIx0UiM0+jHxdJcOYGHUA1OOc2ABsAOjs73fbtU3ICItJgzOzXQcdQLo1FIjNPI45F2U488UQ0Fok0vkYci3RcJDLzNOJYJOEQ5uTj03jTQDIWp68TEaknjUUiIhJqyZEkiZ0JBvYO0LGwg/iyONHWaNBhycylYyMRESlLmJOPW4ArzOxGvIWMX9A6IiISAI1FIiISWv27+oltipFyKYbHhok0R+jZ2kPfyj66lnQFHZ7MTDo2EhGRsgSWfDSzb+N15DvGzHbjde1rBnDOfRnow+ugNggcAP4ymEhFZCbTWCQiIo0qOZIktilGcjQ5cd3w2DAAsU0xhlYP0dbSFlR40qB0bCQiItUWWPLROXdRkdsdcHmdwhGRWUpjkYiINKrEzgSpIw2sJ0m5FIkdCbpP665zVNLodGwkIiLV1hR0ACIiIiIiUr6BvQMTlY65hseGGdw3WOeIRERERKZS8lFEREREpAF1LOwg0hzxvS3SHKF9QXudIxIRERGZSslHEREREZEGFF8Wp8n8D+ebrIn48nidIxIRERGZSslHEREREZEGFG2N0reyj2hLdKICMtIcIdriXa9mMyIiIhIGgTWcERERERGR6ela0sXQ6iESOxIM7hukfUE78eVxJR5FREQkNJR8FBERERFpYG0tbepqLSIiIqGladciIiIiIWNmXzWzZ81sR9Z1C8zsDjMbSH8/OsgYRURERERKoeSjiIiISPh8DTgr57pe4AfOuQ7gB+nLIiIiIiKhpuSjiIiISMg4534E7Mu5+lzghvTPNwDvqmdMIiIiIiKVUPJRREREpDG8zDm3J/3zb4CX+W1kZpeY2XYz2/7cc8/VLzoRERERER9KPoqIiIg0GOecA1ye2zY45zqdc53HHntsnSMTEREREZlMyUcRERGRxvCMmR0PkP7+bMDxiIiIiIgUpeSjiIiISGPYAlyc/vli4JYAYxERERERKYmSjyIiIiIhY2bfBn4KnGJmu82sG7gWeKuZDQAr0pdFREREREJtbtABiIiIiMhkzrmL8tx0Rl0DERERERGZJlU+ioiIiIiIiIiISE0Emnw0s7PM7FEzGzSzXp/bl5jZXWb2gJk9ZGaxIOIUkZlNY5GIyOyTHEmy8f6NrLljDRvv30hyJFmT+4g0Gh0XiYhItQU27drM5gDrgbcCu4FtZrbFOfdw1mZXAd9xzn3JzJYCfcCJdQ9WRGYsjUUiIrNP/65+YptipFyK4bFhIs0Rerb20Leyj64lXVW7j0ij0XGRiIjUQpCVj6cDg865J5xzo8CNwLk52zjgxemfjwKG6hifiMwOGotERGaR5EiS2KYYydEkw2PDAAyPDZMc9a7fP7q/KvcRaVA6LhIRkaoLMvm4CHgq6/Lu9HXZrgbeZ2a78T5R+yu/BzKzS8xsu5ltf+6552oRq4jMXBqLRERmkcTOBCmX8r0t5VIkdiSqch+RBqXjIhERqbqwN5y5CPiac24xEAO+YWZTYnbObXDOdTrnOo899ti6BykiM57GIhGRGWJg78BE9WKu4bFhBvcNVuU+IjOYjotERKQsQSYfnwZOyLq8OH1dtm7gOwDOuZ8C84Bj6hKdiMwWGotERGaRjoUdRJojvrdFmiO0L2ivyn1EGpSOi0REpOqCTD5uAzrM7CQzawEuBLbkbLMLOAPAzF6N949NNfsiUk0ai0REZpH4sjhNU4u0AGiyJuLL41W5j0iD0nGRiIhUXWDJR+fcOHAFsBX4JV7HtJ1m9mkzOye92Wrgw2b2c+DbwAeccy6YiEVkJtJYJCIyu0Rbo/St7CPaEp2oZow0R4i2eNe3tbRV5T4ijUjHRSIiUgs20/5PdHZ2uu3btwcdhohMk5nd55zrDDqOSmksEpkZNBbNXPtH95PYkWBw3yDtC9qJL48XTSJWch+RatBYJCJh0OhjkQRnbtABiIiIiIjUW1tLG92nddf8PqGTTEIiAQMD0NEB8ThEo0FHJSIiIjOYko8iIiIiIrNBfz/EYpBKwfAwRCLQ0wN9fdDVFXR0IiIiMkMF2XBGRERERETqIZn0Eo/JpJd4BO975vr9+4ONT0RERGYsJR9FRERERGa6RMKrePSTSnm3i4iIiNSAko8iIiIiIjPdwMCRisdcw8MwOFjfeERERGTWUPJRRERERGSm6+jw1nj0E4lAe3t94xEREZFZQw1nRERERETqLDmSJLEzwcDeAToWdhBfFifamr/rdLnbTxGPe81l/DQ1ebeLiIiI1ICSjyIiIiIiddS/q5/Yphgpl2J4bJhIc4SerT30reyja8nUrtPlbu8rGvW6Wud2u25q8q5va6vyXoqIiIh4lHwUEREREamT5EiS2KYYydHkxHXDY95ajLFNMYZWD9HW0lbx9gV1dcHQkNdcZnDQm2odjyvxKCIiIjWl5KOIiIiISJ0kdiZIOf+u0ymXIrEjQfdp3RVvX3R6dlsbdHf7PJqIiIhIbSj5KCIiIiJSJwN7ByYqF3MNjw0zuG+w4u2rMj1bREREpMrU7VpEREREpE46FnYQafbvOh1pjtC+oL2i7bOnZ2eSlcNjwyRHvev3j+6v4l6IiIiIlE7JRxERERGROokvi9Nk/ofgTdZEfHm8ou1LmZ4tIiIiEgQlH0VEREQaiJk9aWa/MLMHzWx70PFIeaKtUfpW9hFtiU5UNEaaI0RbvOtzm8eUun2507lFRERE6kVrPoqIiIg0nrc4554POgipTNeSLoZWD5HYkWBw3yDtC9qJL4/n7VpdyvaZ6dl+CUi/6dwiIiIi9aLko4iIiIhInbW1tE3qUj3d7ePL4vRs7fG9zW86t4iIiEi9aNq1iIiISGNxwO1mdp+ZXRJ0MBIO5U7nFhEREamXQJOPZnaWmT1qZoNm1ptnmwvM7GEz22lm36p3jCIy82ksEpEG0+WcOw04G7jczN6YfaOZXWJm281s+3PPPRdMhBKIzPTsdWeto/cNvaw7ax1Dq4foWtIVdGjSQHRcJCIi1RbYtGszmwOsB94K7Aa2mdkW59zDWdt0AB8D3uCc+62ZvTSYaEVkptJYJCK1YGbXAT91zn232o/tnHs6/f1ZM7sZOB34UdbtG4ANAJ2dna7av1/Crdzp3CLZdFwkIiK1EGTl4+nAoHPuCefcKHAjcG7ONh8G1jvnfgveQXadYxSRmU9jkYjUwiq8k/eqMrOImUUzPwNvA3ZU+/eIyKyl4yIREam6IBvOLAKeyrq8G3hdzjavBDCzHwNzgKudc9/PfaD0ekeXACxZsqQmwYrIjKWxSETKYmYfLHHTU7K3dc59tQq//mXAzWYG3nHct/zGIxGRCum4SEREqi7s3a7nAh3Am4HFwI/M7H85536XvZGmF4lIjWksEpFsG/GavhTigK70l6UvTzv56Jx7Ajh1uo8jtZMcSZLYmWBg7wAdCzuIL4sTbY0GHZZINem4SEREyhJk8vFp4ISsy4vT12XbDfzMOTcG/MrMHsP7R7etPiGKyCygsUhEKrEf+DJwwOc2Az4J3A/8dz2DkmD17+ontilGyqUYHhsm0hyhZ2sPfSv71PRFGoWOi0REpOqCTD5uAzrM7CS8f2gXAu/N2ea/gIuA/zCzY/BK/J+oZ5AiMuNpLBKRcr0f+FfgPcBfOuf6czcws08C9zvn/q7ewUkwkiNJYptiJEeTE9cNjw0DENsUY2j1EG0tbUGFJ1IqHReJiEjVBdZwxjk3DlwBbAV+CXzHObfTzD5tZuekN9sK7DWzh4G7gL9xzu0NJmIRmYk0FolIuZxz3wT+EPg1cLeZfc7MWgMOSwKW2Jkg5VK+t6VcisSORJ0jEimfjotERKQWAl3z0TnXB/TlXPfJrJ8d0JP+EhGpCY1FIlIu59xTwAoz+2vgGiBmZh9wzt0bcGgSkIG9AxOVjrmGx4YZ3DdY54hEKqPjIhERqbbAKh9FREREGp1zbh3wx3hrP/7YzK4xs+aAwwpUciTJxvs3suaONWy8fyPJkWTxO80AHQs7iDRHfG+LNEdoX9Be54hEREREwiHs3a5FREREQs0590szex3wKeBjwDsp3g17RprNDVfiy+L0bPUvBGuyJuLL43WOSERERCQcVPkoIiIiMk3OucPpaYldQDNex+tZJbvhSmb68fDYMMlR7/r9o/sDjrC2oq1R+lb2EW2JTlRARpojRFu869VsRkRERGYrVT6KiIiIVIlz7mdmthRoA0aCjqeeSmm40n1ad52jqq+uJV0MrR4isSPB4L5B2he0E18eV+JRREREZjUlH0VERESqyDl3GHgh6DjqrZyGK8mRJImdCQb2DtCxsIP4sjjR1mh1AkkmIZGAgQHo6IB4HKJVeuwStLW0zfgkq4iIiEg5lHwUERERKYOZtQD9QBI4yzk3VmC724AI8L/zbTdTZBqu+CUgsxuu1HRdyP5+iMUglYLhYYhEoKcH+vqga2avOSkiIiISVlrzUURERKQ878PrcP35QglF59wo8E/A6cDKOsUWmPiyOE3mf2iZabhSbF3IPck9lXfKTia9xGMy6SUewfueuX7/zF5zUkRERCSsVPkoIiIiUp73AE845/qKbeic+76ZDQB/Dnyt1oEFKdNwJbeqscmaJhqubLx/Y951IccOj3Hyv5zMHJsztSLy6FOLT6VOJLyKRx/JOYdJfPVyBl59XPWneYdNwNPORURERHIp+SgiIiJSntcARROPWX4ExGoUS6gUa7hSaF3IQ4cPTbqc2e7sG97Gnn+eQ9uIKzyVemDgSMVjlv4lEFt5gNS+bzP8k7HqTvMuU03XugRNOxcREZFQUvJRREREpDzHAM+Usf0zwMIaxRI6hRquFFoXMp/9hw/y96+Ba3+QviKTYIzFYGgI2tKdpDs6vGRbVgIy2QKxlZBsBfBmyGd+d2xTjKHVQ3XrRF3TtS5h8rTzjHzPldSHqlBFREQArfkoIiIiUq6DQDlZnDbgUNGtZoFC60LmZfCFP4H9LTnXp1JeYmfiwePQNPmxE8vBfyI2pFyKxI5Enlurq9hal/tHq7AeZYFp51OeK6m9/n5YtAhWrYK1a73vixZ514uIiMwySj6KiIiIlOcpoLOM7TuBXTWKpaFk1oWMtkSJNEcArxN265xW5jbln5BjQGJZzpXDwzA4mPXgUW96cTTqVUACAy+by3Cr/2MOjw0zuG/Q/8ZyJZOwcSOsWeN9T05ulJPYmci71mXKHSbxpcvz3rdkeaadA1Ofq3IU2TfxoeZHIiIik2jatYiIiEh57gYuM7NO59z2Qhua2R8Dfwr8az0CawQT60Juv4HBn36P9r0QW3IGL3/243nvMzIXBhfkXBmJQHt7zoN3edOLEwkYHKTj+CEi+2/yneYdaY7QvqB9yvVlK7TO4qleo5yBJ/+N4Wb/xODw2AEGv/8t+P74lDUay1oj0mfa+ZGd9XmuprtvWkMyv1KqULv9lyYQERGZiZR8FBERESnPF4FLge+aWcw590u/jczsVcB3gcPA9XWML/Ta7n2Q7tjHspJa/8OVb4K1p/tvHxmB9n05VzY1eVOtpzx420RiJz6SpOe6m30fs8maiC/3uX85Cq2zeOaZXozO0XHKMJGzYDh36jjpfXtmfPJ9YzH6791M7ObzS18jMh73EoN+8j1Xle7bihXwq1/B8ceX95izRa2qUEVERBqUpl2LiIiIlME59yjwaeDlwANm9k0z+6CZvS399Zdm9k3gAeBE4O/S9xHIOyX1qjvHaBv1v0sTEP/VfO9CJHJkinWRBir5pnlHW7zrS2o2U2jacaEKtwMHvOm1w8PEd0CTK7BvO3N+5ZzDxL5zrv8akV97K/v37pm8/UiSjQMJ1qx7Jxv/tJXkS8p/rqYotG8jI3DyyVq/MJ9MFaqfSqtQRUREGpgqH0VERETK5Jz7tJmNA58C3gtclLOJ4bVX/oRz7pp6xxdqeZJa0VG4bfM8YishNXfORLVfkzXRF99M2yue8irG2tu9Kr4Sk2kT07x3JBjcN0j7gnbiy+OlJR6LTTsuVOGWs299m7zO2ynzKiAjrpmm0TH6NjEl6Zo4+QCpVLP3KsqRGjlE4p0n0b32TujqmtpF++0Res48TN+hlXS94i1lPVeTFNu3Q4fURTufalehioiINDglH0VEREQq4Jz7RzPbBHwQeAOQmYO6B+gH/sM59+ug4gutAkmtrscOMXSwh8SfL52aKHxV4YcttD5iW0sb3aeVucZeoWnHmaRboXUWc/dtFwx93mucM/j219N+zCuJX72Ztt8dmLLtwMvmMmxjvo8z3AKD80cgFiP55KMTXbQnbk9XSsaiWxj6iy+XlmT1U8q+zZT1C5NJbz8GBrz9jse9itFKZapNcxPXTU2VVaGKiIg0uECTj2Z2FrAOmANsdM5dm2e784DNwGuLLewuIlIujUUiUql0cvFTQcfRUIo0RmlrX1p2onBK9V+x9RFLUUrTkHSFW7IFEsthYAF07IP4Dq/aMVfbKHQ/FoHLPwQXXAD/1389yo4X5hBpbvVvlJNZ/zKVIvHN3gJdtFMkdiTKT7pmFKrey5gJ6xfWqqlOTvOjcit2g6TjIhERqbbA1nw0sznAeuBsYClwkZkt9dkuCvw18LP6Rigis4HGIhGplJktMbPzzOw9ZnZC0PE0jHjcqwDzMzYGBw9OrjYsIjmSnKj+m7I+4qYY+0f3VxZnKU1DolFu/8bVvPRv4dK3w9ou7/uxfwO3v6rZ/76ZabeZ6rho9Mj6gPPnQ2sr8ZPOoWn8sP/dSa8ROTzMwHOP+iYowXsOBvelE4OF1q3MJxNfa2v+bRp9/cI8649OXL+/wtdORqb50TXXeN8bI/Go4yIREam6IBvOnA4MOueecM6NAjcC5/ps9xngs8ChegYnIrOGxiIRKZuZfQ54AvgOXkfrX5nZPwUbVYPwS7pljI5Cby8sWlRyM5PEzkTR6r+KlNA05PbHb+fMB1dzaC6Mz/FuGp8DI81w5oVj3L7sRSRfMp+Np8Gas+d6zWC2bD6ShMpUx61bBytXetV3c+cS3fRd+jZBdAQi6QrKyIh3eWKNyEiEjmNPmWikMyXEUWjf57zncdEiWLUK1q71vpf6/HZ1eV2t583zv73R1y8spbp19tFxkYiIVF2Q064XAU9lXd4NvC57AzM7DTjBOXermf1Nvgcys0uASwCWLFlSg1BFZAbTWCQiZTGzi4AewAGP4LUFOQXoMbP7nXPfrvHvL2lKZKhlkm433ABXXulVPGbkrqvo3MR6fMlXnOBNbx5+amJdx4G9A6VV/5UhOZIksfQQA28apeM3PtOom5pIvjvGOdefVPBx3hkfpyXVhHPNDNsYkeZWen56Pn0nZ00Hb2vzpmBfeaXXxCXzFD126MgakQu8qdbxnVnNaZqaiL/vWnq+/J++v7vJQfwjX4Sx9ZMr+HKf32LVeMcfD3fcMTPXLyylunX20XGRiIhUXWgbzphZE3Ad8IFi2zrnNgAbADo7O11tIxOR2URjkYj4+BAwDpzpnLsLwMxWALcB3UDNko9ZUyLfipcU2GZmW5xzD1f6mIUatdRUW5s3pbelZXLyMePQITj/fPjxj8E5+hcOe92if+01XZnfPJ+/uu2v+MOX/iGtc1oZOTwy5SEizRHaF5Q3Lbh/Vz+xb55NamyM4dPHiIxCz5lexWHX3iNJt8STt3I45T81OmM0NcYoTHStnmgGsynG0OqhI81g8lTgtY1C9y/TVYdz5sDo5MRfdMHx9B11GbGn15IChlu9Cskm0hWSB8a95K2fcprFNPD6hQUVWX+0oaeU14iOi0REpBJBJh+fBrLXR1qcvi4jCiwH7jYzgOOALWZ2jhY0FpEq0lgkIuX6Q+CWTOIRwDl3p5ndAry5xr97YkokgJllpkRWlHysSaOWchSqPBsbg61bAUi2QGwlJLOWHzww5nWJvnfo3rwP32RNxJeXPi04OZIk9vUzSR4+0oF6uMX7HvvAXIYWf5a2iy6GtjYG7vhvxt14yY+dbUozmELPw6FDXgOUpUt9E39du2Don/NVSE5NyB7ZsTIr+zLrF/qpdrfoeinUVKfRp5RXTsdFIiJSdUEmH7cBHWZ2Et4/tAuB92ZudM69AByTuWxmdwMf1T81EakyjUUiUq6j8aZb53oEeFeNf3cpUyJLmuqY3aglI29lXq0UqjzLklgOeVbm8xVpjtBkTfSt7CtrHxL33UDq4AFomXpbanycxHLoTif9OhZ2MH/ufA6MH5i6cRFTpoMXq8BbujR/4q+jg7bmCN0P+Ny3tdWrfBz1ab1drcq+WnWLrofM+qMzcUp55XRcJCIiVRdYwxnn3DhwBbAV+CXwHefcTjP7tJmdE1RcIjK7aCwSkQo0AT7zhBljYoJtcJxzG5xznc65zmOPPTbvdjVr1IKX2Nx4/0bW3LGGjfdvJDmSp7tyoc7XWQYWeFOKi2mZ08JbT3or5736PD502od45PlHJn53KTEN/PR7E5WOuYZbYDDx5YlO0fFlceY0zSkelI8p08ELPQ/FKvAK3be52ZvWXsnjlqLW3aLrIbvpT2+v931oKPyJ0xrRcZGIiNRCoGs+Ouf6gL6c6z6ZZ9s31yMmEZl9NBaJSAWCWr+s2JTIktWiUQuUOZU7u/Ls0CGSNuY1lFkAHfuONHrp2OetZVgsATl6eJS7f303LXNaJv3ua1dcS++dvUVj6tgLEfx/T2QEFt/zMF98+7F8789PhaOP5oOv+SD/fv+/M5Yam7Tm5Ly585hrczk8NspBplYdTpkOPp0KvGL3hdpV9pXSLbqUNSWDVmhK+Syk4yIREam20DacEREREQmxq83sar8bzMyvC4lzzlXjuKvglMhydCzsINIc8U1AVtKoBQpP5V7x9RVc9trLWHrs0slNbdKVZ/095xM7ZuukximZRi/xHd7PpRhLjTGWGpv0uy/vu3zSNvmml8dPfAc9T271fdyUwd+sSHFw7gjsuxf2wdbHt/KiuS9i1etWMZYaY+/BvSycv5Clv2smful6Hjymidh53n2HWyDSNI+muc3+08FPPRX+8R/h1lu9y+94B1x8cWkJwmINYWrVLEbdoivTqGtkioiIVEjJRxEREZHylTu9uirTsZ1z42aWmRI5B/iqc25nJY8VXxanZ6t/s41yG7VkFJrKPXJ4hC/c8wXfqsNksyN24o9JZk1mz1QfxlbC0Oe9JGRsJRw2OJBnJnG5chu/RC+6mL7T/5bYuw9OSoIacLgJDjZPfYyD4wdZv209ez66x0soJpOwaBEk99O1z4t9ohnMAUf8e4/RtuC4yQ/it27ij3/sJSRLnf5bqHqvVpV96hZdvkZeI1NERKRCSj6KiIiIlME5F9ia2enfP2VKZCWirVH6VvZNmSJdSaOWjEJTuTP8qg4TOxOk8sxkTxkkPnoWF6RezT++7Dfc+pLn+e3Y77lv6L6Ku01nxzJpenk0Ste/3c7QuWeTOPkAg0elaN8HB+fCRwtUXo6mRo8kMXOmIreNQvcD6QuRuXDzrZMTgdnrJk4Eln4OYzGvajGsjU/ULbo8jfy3FhERmYZAD55FREREJDhdS7oYWj3EurPW0fuGXtadtY6h1UNT12YsUWYqdylS7vBEU5uC60+2wF1/vJBFL95I7/AWvv/kHex4dgdmZRST5lmh03d6eVcXbb/eQ/fS93HNj5rpfgCeOgpGCnxkP3p4lMGH7vIulDMVOZmEK66AA3k6Zo+NecnMsMqsNxmNehV84H3PXK9E2mSlrJEpIiIyA6nyUURERGQWa2tpm5h2PF2FpnLnGh474CXsTusuuP7k/Ob5bH5486SGLsWqK0s1nhpnx7M72Hj/xsnrULa1wRe/CDffDGNjdOyD1vH8CciWMWjfsBnO/3LpU5Ez028PHoTDfsuEAocOwcMPT39Ha6nYepNyhNbIFBGRWUqVjyIiIiJSFZmp3NGWaNEKyMhIOmG3fz/xZXGazP+wNOVSzLE5FcUTGYHoCKzvg/mjTKmAHDk8wj//7J9Z9f1VLLpuEf27+rN25khVX/yJ+TTnyQ8CtKQg/ss5XgIuHvemHPvJTEXOnn47XmTq+N69Je1roDJrSl5zjfddiUd/mcS0H62RKSIiM5iSjyIiIiJSNdlTua983ZXMyzPRpokjCTu/pGWkOUK0Jcp7XvUeDoznmZYMtMxpmXSftpY21oy+jt7/gXXf9xq+/MXPocmRt+3P8NgwyVGvU/f+0f1ZO+NV9UU/9y/cxkrmH26anMB08KJRuG0TtP3ugFe5VspU5ELTb3MtXFjadhJ+pSSmRUREZiBNuxYRERGRqsqeyv2e//cMMfvWpO7RTXjdqycSdhxJWiZ2JBjcN0j7gnbiy+PcuONGbnn0Ft+p1pHmCJ9d8VnmzZ036T5tX78R1u2YmOK68bS8yz5Oktv92tsZr6qvi26e2fB6bvj6am59+SgAb38MLn7IayozqXKt2FTkQtNvs7W2wvPPw5o1XtVcPO4lMaUxZRLQud2um5q0RqaIiMxoSj6KiIiISM10veItDP3Nf5E46QCDC6B9H8R3+iTs8F9/stA6kk3WxMV/dPGkztzJkSQblx5i4E2jdPwG4jtgYIGX+CxmSvfrHG0XXczlH/04l/941CeYnMq1zFRkP4XWhcw2MgI33XQkSdXT4yWpuiprCCQhoDUyRURkFlLyUURERERqJx6nraeH7gd8bithqmlmSnZsU4yUSzE8NkykOUKTNdG3sm9S4rF/V/+R7U4fIzIKPWfCpdsgMup1zi7Et/v1pGAqrFxLJr1k08CAl3iMxbxEYj4vepHXiAaOJCgz32MxL3mlZFXjKpSYFhERmYGUfBQRERGR2qnCVNOJKdnbb2Dwp9+jfS/ET3w7bUefOrFNcsRbszE5mpy4LpNsvP4NzVhTE7iR3IeepMmaiC8vsu5euZVrma7W2fve0wPXXgu9vZOvP3wYzjsP5sw5UvGYK5XyfreSVyIiItIglHwUERERkdqqwlTTtnsfpDv2saxk3f/ARz8+MQ05sTNByvk3cXEtLVzx2iu4fvv1E9WT2fJVUiZHkiR2JhjYO0DHwg7iy+JEW6OlV65ld7XOyCQUe3vhscfg1lunPidr1uSfkj08PLFOpoiIiEgjUPJRRERERGpvOlNNCyXx0tOQB/YO+DalAW8tRzOb1NBm8VGLwcHu3+8+0qgm3xTu9FTvnq099K3so2tJiWsuFupqnUp5iUe/56TQmpA562SWJXf6txrYiIiISB0o+SgiIiIioZb89g0klo0w0AYd+7wmMtFMz5fDh+Hyy+lY9AyR1laGmTq1OrOW46SGNhOJuBR0OO8rPU3bdwp3OrEZ2xRjaPXQpERlXoW6WheqYIzH868JWcI6mb7yTf9WAxsRERGpMSUfRURERCS0+nf1ExtaTeotowy3QmTEayLTtwm6dgEHDsC3v03cxuhZDfh0tZ6ylmORRFyhKdwplyKxIzGlK7evSisY86yTmWw1EtdfysBPPzN5GngxJVSOqoGNiIiI1EpT0AGIiIiIiPiZqEA0L/EIMNwKyVaIrYT9me7VY2NER72EZHTE62wNXsVjtCU6eS3H7ERcdifpzPX79xedwj24r8Q1F+Nxr1LRT7EKxsw6mevWQW8v/WuvYNFqWPX4etb+ZC2rvr+KRdcton9Xf/E4ik3/TiSKP4aIiIhIhQJNPprZWWb2qJkNmlmvz+09ZvawmT1kZj8ws5cHEaeIzGwai0REwqlgBSKQWDb5uq5dMPR5WPfDFnrbzmbdWesYWj00eY3GEhJxHQs7iDRHfDfJTOEuSaaCMRr1Kh3B+565vli1YXqdzOTVHyf2wvUkx/ZPJEWHx4ZJjnrJ2f2j+ws/TqXTv2VW0nGRiIhUW2DJRzObA6wHzgaWAheZ2dKczR4AOp1zfwhsBtbWN0oRmek0FomIhFfBCsRWGFww9fq2Uei+Z5Rrnj+V7tO6p67NWEIiLr4sTpP5HyZPmcJdTE4FI+vWeZfLWGexlGngBWWmf/uZTgMbmXF0XCQiIrUQZOXj6cCgc+4J59wocCNwbvYGzrm7nHMH0hfvARbXOUYRmfk0FomIhFTBCsTUXNqHW3xvK5hQKyERF231pmpHW6ITv993CnepMp2+r7nG+17m+opFp4HftXnyeo65pjP9W2YbHReJiEjVBZl8XAQ8lXV5d/q6fLqB2/xuMLNLzGy7mW1/7rnnqhiiiMwCGotEREKqYAVi6zzij+VJPhZKqJWYiOta0sXQ6iHWnbWO3jf0+k/hrpOCSdgRaN/8Q1i0yGuk42e6079lNtFxkYiIVF1DdLs2s/cBncCb/G53zm0ANgB0dna6OoYmIrOIxiIRkfrKVCDGNsVIuRTDY8NEmiM0WZNXgfhGpnatbmoqnFDL00na735tLW2ldbWusfiyOD1be3xvawLi94/C6GjhztWZ6d+JhLfGY3u7l2hV4rF0yaT3/A0MeBW08bj3epqldFwkIiKlCjL5+DRwQtblxenrJjGzFcAngDc550bqFJuIzB4ai0REQixTgZjYkWBw3yDtC9qJL497U5+XUFlCrcEScZOSsKOjDDNCZMRLPPZt8ta5BI50ru7OkzDNTP+W8vX3T01Y9/R4Cesy1u9sADouEhGRqgsy+bgN6DCzk/D+oV0IvDd7AzN7DfAV4Czn3LP1D1FEZgGNRSIiIVewArHShFqDJeImkrBX/zmD936f9n0Q35mVeAR1rq6VZNJLPGavq5lpWlSo2rQx6bhIRESqLrA1H51z48AVwFbgl8B3nHM7zezTZnZOerN/AtqA75rZg2a2JaBwRWSG0lgkIiKNoq2lje6Tz+OaeyJ0P5CTeAR1rq6VRMKrePSTqTadIXRcJCIitRDomo/OuT6gL+e6T2b9vKLuQYnIrKOxSEREGkY87k339aPO1bUxMHCk0jHXDKw21XGRiIhUW5DdrkVEREREpBzqXF1/HR1HnutcqjYVEREpqiG6XYuIiIjMdmZ2NfBh4Ln0VR9PVyjJbFODhjnJkSSJnQkG9g7QsbCD+LI40dbZ28l5ElWbioiITIuSjyIiIiKN4wvOuc8FHYSEQBUb5vTv6vc6absUw2PDRJoj9GztoW9lH11LZlQn58pkqkpzu103NanaVEREpARKPoqIiIiIzFLJkSSxTTGSo0c6OQ+PeesbxjbFGFo9RFuLkmu1qDYVERGZLZR8FBEREWkcV5jZ+4HtwGrn3G9zNzCzS4BLAJYsWVLn8KTRJHYmSDn/Ts4plyKxI0H3adWpsGx4Vaw2FRERmU2UfBQREREJCTO7EzjO56ZPAF8CPgO49PfPAx/M3dA5twHYANDZ2elqFmwZGnY9wWTSq3QbGPCajsTj3hTcGWRg78BEpWOu4bFhBvfNrE7OIiIiUn9KPoqIiIiEhHNuRSnbmdm/Ad+rcThV0bDrCfb3T13jr6fHW+OvK8Rxl6ljYQeR5ohvAjLSHKF9gTo5i4iIyPQ0BR2AiIiIiBRnZsdnXXw3sCOoWEqVvZ5gJrk1PDZMctS7fv/o/oAjzCOZ9BKPyaSXeATve+b6/SGNuwLxZXGazP+UoMmaiC9XJ2cRERGZHiUfRURERBrDWjP7hZk9BLwFuDLogIopZT3BUEokvIpHP6mUd/sMEW2N0reyj2hLlEhzBPAqHqMt3vVqNiMiIiLTpWnXIiIiIg3AOfcXQcdQroZdT3Bg4EjFY67hYa/b8QzStaSLodVDJHYkGNw3SPuCduLL40o8ioiISFUo+SgiIiIiNdGw6wl2dHhrPPolICMRaA9p3NPQ1tI2e7taz4LGQiIiIkHStGsRERERqYmGXU8wHoemPIfJTU3e7TIz9PfDokWwahWsXet9X7TIu15ERESqQslHEREREamJhl1PMBr1ulpHo16lI3jfM9e3hTRuKc8saiwkIiISJE27FhEREZGaadj1BLu6YGjIm447OOhNtY7HlXicSUppLNQ9S6eii4iIVJGSjyIiIiJSUw27nmBbm5JPM9ksaywkIiISFE27FhERERGR2SfTWMjPDG0sJCIiEgQlH0VEREREZPZRYyEREZG6CDT5aGZnmdmjZjZoZr0+t7eaWSJ9+8/M7MQAwhSRGU5jkYiIyCykxkK+dFwkIiLVFtiaj2Y2B1gPvBXYDWwzsy3OuYezNusGfuucazezC4HPAvoIUkSqRmORiIjILKbGQpPouEhERGohyIYzpwODzrknAMzsRuBcIPsf27nA1emfNwNfNDNzzrl6BioiM5rGIhERkdlMjYWy6bhIRESqLsjk4yLgqazLu4HX5dvGOTduZi8AC4Hnszcys0uAS9IXR8xsR00iro9jyNm/BqR9CF6jxw9wSp1+j8ai/Br9ddTo8UPj70Ojxw/1G4tq4r777nvezH5d418Thr9zGGIAxZFLcUw2nTheXs1ACtBxUX5heR1VqtHjh8bfh0aPHxr8uEiCE2TysWqccxuADQBmtt051xlwSBVr9PhB+xAGjR4/ePsQdAzlmkljETT+PjR6/ND4+9Do8UNjjkXZnHPH1vp3hOHvHIYYFIfiaJQ46kXHReHS6PFD4+9Do8cPjX9cJMEJsuHM08AJWZcXp6/z3cbM5gJHAXvrEp2IzBYai0REREQ8Oi4SEZGqCzL5uA3oMLOTzKwFuBDYkrPNFuDi9M/nAz/UWiIiUmUai0REREQ8Oi4SEZGqC2zadXp9kCuArcAc4KvOuZ1m9mlgu3NuC/DvwDfMbBDYh/fPr5gNNQu6Pho9ftA+hEGjxw912geNRQU1+j40evzQ+PvQ6PHDzNiHWgvDcxSGGEBx5FIck4Uljrx0XFRQo+9Do8cPjb8PjR4/zIx9kACYPqQSERERERERERGRWghy2rWIiIiIiIiIiIjMYEo+ioiIiIiIiIiISE00bPLRzM4ys0fNbNDMen1ubzWzRPr2n5nZiQGEmVcJ8feY2cNm9pCZ/cDMXh5EnIUU24es7c4zM2dmnfWMr5hS4jezC9J/h51m9q16x1hMCa+jJWZ2l5k9kH4txYKIMx8z+6qZPWtmO/Lcbmb2L+n9e8jMTqt3jMVoLAqexqLgaSyaXczsajN72sweTH/5/j1LfW9WGMM/mdkj6b/HzWb2kjzbPWlmv0jHub2Kvz/wsd/MTki/rzJjw1/7bPNmM3sh62/1yWrHkf49BZ/neryHzOyUrP180Mx+b2arcrapyfPhN4aY2QIzu8PMBtLfj85z34vT2wyY2cV+2zSSMLw3pqvRj40a/bgIGv/YSMdFIj6ccw33hbf48ePAyUAL8HNgac42lwFfTv98IZAIOu4y438LMD/986Vhir/UfUhvFwV+BNwDdAYdd5l/gw7gAeDo9OWXBh13BfuwAbg0/fNS4Mmg486J743AacCOPLfHgNsAA14P/CzomCv4G2gsCngf0ttpLAp2HzQWzaAv4Grgo9N9XUwzhrcBc9M/fxb4bJ7tngSOqfL+h2LsB44HTkv/HAUe84njzcD36vCaKPg81/s9lP4b/QZ4eT2eD78xBFgL9KZ/7vV7jQILgCfS349O/3x0rf9eNX7eA39v1GEfQntsVOrYS0iPi8r4G4T22KjE+HVcpK9Z99WolY+nA4POuSecc6PAjcC5OducC9yQ/nkzcIaZWR1jLKRo/M65u5xzB9IX7wEW1znGYkr5GwB8Bu+k4FA9gytBKfF/GFjvnPstgHPu2TrHWEwp++CAF6d/PgoYqmN8RTnnfoTXJTGfc4GvO889wEvM7Pj6RFcSjUXB01gUPI1F4qfU92ZFnHO3O+fG0xfrPTaFYux3zu1xzt2f/jkJ/BJYVM3fUUX1fg+dATzunPt1DX/HhDxjSPZr4AbgXT53PRO4wzm3Lz3G3wGcVas46yAU741pavRjo0Y/LoLGPzbScZGIj0ZNPi4Cnsq6vJupB1sT26QPTl8AFtYluuJKiT9bN94nC2FSdB/S5dcnOOdurWdgJSrlb/BK4JVm9mMzu8fMwnYwWMo+XA28z8x2A33AX9UntKop971SbxqLgqexKHgai2anK9JTrb6aZzppPZ+zD5J/bHLA7WZ2n5ldUqXfF7qxPz119TXAz3xu/hMz+7mZ3WZmy2oUQrHnud7voQuBb+e5rR7PB8DLnHN70j//BniZzzYzbWwJ3XujAo1+bNTox0XQ+MdGOi4S8TE36ACkMDN7H9AJvCnoWMphZk3AdcAHAg5lOubilfS/Ge8TzR+Z2f9yzv0uyKDKdBHwNefc583sT4BvmNly51wq6MCksWgsCpTGIqk7M7sTOM7npk8AX8KrmnHp75/HSwDWLQbn3C3pbT4BjAOb8jxMl3PuaTN7KXCHmT2SruiYMcysDbgJWOWc+33OzffjTT3en15T7L/wxpNqC83zbGYtwDnAx3xurtfzMYlzzpmZq/XvkfpqxGOjGXJcBI1/bKTjIpl1GrXy8WnghKzLi9PX+W5jZnPxypn31iW64kqJHzNbgXeQf45zbqROsZWq2D5EgeXA3Wb2JN5aEFtCtKBxKX+D3cAW59yYc+5XeGsp1fwAtQyl7EM38B0A59xPgXnAMXWJrjpKeq8ESGNR8DQWBU9j0QzknFvhnFvu83WLc+4Z59zh9EnSv+FNMcs17eesUAwAZvYB4B3ASuecb2LHOfd0+vuzwM15Yi1XaMZ+M2vGSzxucs79Z+7tzrnfO+f2p3/uA5rNrOrvvRKe53q+h84G7nfOPeMTZ12ej7RnMtMQ09/9poXOtLElNO+NaWj0Y6NGPy6Cxj820nGRiI9GTT5uAzrM7KT0p5sXAltyttkCZDrGnQ/8MN+BaQCKxm9mrwG+gvcPLUxrWGQU3Afn3AvOuWOccyc6507EWw/lHOdc1TpNTlMpr6H/wvs0jfSB6SvxFgIPi1L2YRfeukeY2avx/rE9V9cop2cL8P50R7XXAy9kTWEKA41FwdNYFDyNRbNMzrpO7wb8umGW8rqYTgxnAX+L934+kGebiJlFMz/jNanx7dxZplCM/WZmwL8Dv3TOXZdnm+PS22Fmp+Md+1c10VPi81zP99BF5JlyXY/nI0v2a+Bi4BafbbYCbzOzo81bvuBt6esaVSjeG9PU6MdGjX5cBI1/bKTjIhE/LgRdbyr5wuuw9BheJ6lPpK/7NN7gCd4b+LvAIHAvcHLQMZcZ/53AM8CD6a8tQcdc7j7kbHs34eukVuxvYHjTEh4GfgFcGHTMFezDUuDHeF3WHgTeFnTMOfF/G9gDjOF9gtkNfAT4SNbfYH16/34RttdQiX8DjUUB70POthqLgtkHjUUz6Av4Rvp5eAjvBOT49PV/APQVel1UMYZBvPWmMmPTl3NjwOs0+vP0185qxhCGsR/owpv6/lDW8xDLee1ekd73n+MlGf60BnH4Ps9BvIeACF4y8ais62r+fOQZQxYCPwAG8P6XLkhv2wlszLrvB9Ovk0HgL2vxvNTzKwzvjTrsQ6iPjYrFn7Pt3bV6P9b4bxDqY6MS4tdxkb5m3Zc5F6YPmkRERERERERERGSmaNRp1yIiIiIiIiIiIhJySj6KiIiIiIiIiIhITSj5KCIiIiIiIiIiIjWh5KOIiIiIiIiIiIjUhJKPIiIiIiIiIiIiUhNKPoqIiIiIiIiIiEhNKPkoIiIiIhIAM3M5X4fN7Hkz+6GZvbfA/V5lZv9qZjvM7AUzGzWzITO71cy6zaw1Z/vPmtkPzOwpMztoZvvM7AEz+5SZLaz9noqIiMhsZs65oGMQEREREZl1zCxzIP536e/NwKuAc4E5wBeccz059/kk8Cm8IoKfAtuB/cDLgDcDJwP3Oec6s+4zCtwPPAw8C0SA1wOdwBDweufcU9XfQxERERElH0VEREREApFJPjrnLOf6M4A70hdPds49mb7+48A/AE8Bf+6c+5nPY74DWO2ce0vWdfOcc4d8tv0H4OPAl5xzl1Vlp0RERERyKPkoIiIiIhKAfMnH9G0PA68GLnDOfdfMTgQeS998mnNuR4HHbXXOjZTw+08FHgTudM69tfw9EBERESlOaz6KiIiIiIRPJiGZqRT4S7xp2TcVSjwClJJ4THtn+vtD5YcnIiIiUpq5QQcgIiIiIiJHmNkK4BS8xOO29NVd6e8/mMbjfhRoA47CW++xCy/xeG3FwYqIiIgUoeSjiIiIiEiAzOzq9I/NeEnHd+FVPn7BOffr9G3Hp7/vnsav+iheY5qM7wMfcM49N43HFBERESlIyUcRERERkWB9Kv3dAb8D/gf4d+fcN6v5S5xzxwGY2cuAP8WreHzAzN7hnLu/mr9LREREJEPJRxERERGRAPk1nPGxB68BzaIq/L5ngJvN7H68JjZfB5ZP93FFRERE/KjhjIiIiIhI+PWnv59RrQdMT+l+GFhmZsdU63FFREREsin5KCIiIiISfv8BjAHnmdnSQhuaWWsZj/sH6e+HKw1MREREpBAlH0VEREREQs459yRwNdAC3GpmnX7bmdlZwG1Zl19pZkf5bNdkZv8AvBT4iXPut7WIW0RERERrPoqIiIiINADn3D+a2Vy8BjXbzOwnwHZgP14X6zcCHenrMmLANWbWD/wK2Jve9k3AycBvgA/XbSdERERk1jHnXNAxiIiIiIjMOmbmoOSGM9n3ezVwGfAWYAkwDy+p+CCwGfimc24kve1y4CNAF7AYeAkwjNdo5lbgX5xz+6a/NyIiIiL+lHwUERERERERERGRmtCajyIiIiIiIiIiIlITSj6KiIiIiIiIiIhITSj5KCIiIiIiIiIiIjWh5KOIiIiIiIiIiIjUhJKPIiIiIiIiIiIiUhNKPoqIiIiIiIiIiEhNKPkoIiIiIiIiIiIiNaHko4iIiIiIiIiIiNSEko8iIiIiIiIiIiJSE/8/xX6jlhinuG0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x576 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotting(pca4_plasma_df, 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "vZ16An_m-3TG"
   },
   "outputs": [],
   "source": [
    "pca5_plasma = pca_analysis(plasma, 5)\n",
    "\n",
    "pca5_plasma_df = make_dataframe(pca5_plasma, 5)\n",
    "# print(pca5_df.head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 506
    },
    "id": "7tAZAD4o_Lwv",
    "outputId": "77199232-ad1c-42db-bce4-39bc4c8e32c4"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x576 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotting(pca5_plasma_df, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "1nMBpd5JIy3s"
   },
   "outputs": [],
   "source": [
    "# now do PCA for 10, 15, 20\n",
    "pca10_plasma = pca_analysis(plasma, 10)\n",
    "pca10_plasma_df = make_dataframe(pca10_plasma, 10)\n",
    "\n",
    "pca15_plasma = pca_analysis(plasma, 15)\n",
    "pca15_plasma_df = make_dataframe(pca15_plasma, 15)\n",
    "\n",
    "pca20_plasma = pca_analysis(plasma, 20)\n",
    "pca20_plasma_df = make_dataframe(pca20_plasma, 20)\n",
    "# print(pca20_plasma.head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "OJ4K_kNKNqWP"
   },
   "outputs": [],
   "source": [
    "# pca15_plasma_df.to_csv(\"plasma/pca15_plasma_metabolics.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 265
    },
    "id": "BaIC09d1YJyp",
    "outputId": "237ba941-6c89-4eea-d789-7f8d6349cb10"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x183ca5a0608>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsne2_plasma = tsne_analysis(plasma, 2)\n",
    "\n",
    "tsne2_plasma_df = tsne_dataframe(tsne2_plasma, 2)\n",
    "# print(tsne2_plasma_df.head)\n",
    "# plotting(tsne2_plasma_df, 1, 1)\n",
    "plt.title(\"t-SNE\",fontsize=20)\n",
    "\n",
    "for target, color in zip(targets,colors):\n",
    "    indicesToKeep = tsne2_plasma_df.Class == target\n",
    "    plt.scatter(tsne2_plasma_df.loc[indicesToKeep, 'tsne1']\n",
    "               , tsne2_plasma_df.loc[indicesToKeep, 'tsne2'], c = color, s = 50)\n",
    "plt.legend(targets,prop={'size': 10})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 510
    },
    "id": "qKnrjJTzYh63",
    "outputId": "d8263a8f-454b-47dc-e94d-6a016fd1153e"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x576 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsne3_plasma = tsne_analysis(plasma, 3)\n",
    "\n",
    "tsne3_plasma_df = tsne_dataframe(tsne3_plasma, 3)\n",
    "# print(tsne2_plasma_df.head)\n",
    "tsne_plotting(tsne3_plasma_df, 3)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "id": "P-BRS2vwvm8x"
   },
   "outputs": [],
   "source": [
    "# tsne2_plasma_df.to_csv('plasma/tsne2_plasma_metabolics.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Serum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "8mJbTitszFRG",
    "outputId": "e2269dc1-ef0d-456b-c8ed-7e874a3380cd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<bound method NDFrame.head of            pc1        pc2    Class\n",
      "0     -5.19342    3.39396  disease\n",
      "1    -0.107961   0.420847  disease\n",
      "2     0.194706   -5.76244  disease\n",
      "3      3.37146    -6.5759  disease\n",
      "4     -1.89935    3.86504  disease\n",
      "..         ...        ...      ...\n",
      "77    -1.33265   0.874834  control\n",
      "78    -2.37837    2.13826  control\n",
      "79       1.167 -0.0494281  control\n",
      "80  0.00594067    1.00219  control\n",
      "81    -2.06376    3.95083  control\n",
      "\n",
      "[82 rows x 3 columns]>\n"
     ]
    }
   ],
   "source": [
    "pca2_serum = pca_analysis(serum, 2)\n",
    "\n",
    "pca2_serum_df = make_dataframe(pca2_serum, 2)\n",
    "print(pca2_serum_df.head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 341
    },
    "id": "--HrgVwLB0wH",
    "outputId": "d5522eca-81a4-47d1-c11b-38a85fb38205"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x183ca4ee8c8>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.figure(figsize=(4, 4))\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=14)\n",
    "plt.xlabel('PC1',fontsize=20)\n",
    "plt.ylabel('PC2',fontsize=20)\n",
    "plt.title(\"Principal Component Analysis=\",fontsize=12)\n",
    "targets = ['disease', 'control']\n",
    "colors = ['r', 'g']\n",
    "for target, color in zip(targets,colors):\n",
    "    indicesToKeep = pca2_serum_df.Class == target\n",
    "    plt.scatter(pca2_serum_df.loc[indicesToKeep, 'pc1']\n",
    "               , pca2_serum_df.loc[indicesToKeep, 'pc2'], c = color, s = 50)\n",
    "\n",
    "plt.legend(targets,prop={'size': 15})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "sXliCThzzpBO"
   },
   "outputs": [],
   "source": [
    "pca3_serum = pca_analysis(serum, 3)\n",
    "\n",
    "pca3_serum_df = make_dataframe(pca3_serum, 3)\n",
    "# print(pca3_df.head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 510
    },
    "id": "Z0U0vdvJCmSj",
    "outputId": "4b1b710e-3bba-4d5c-f628-eb401315a9ec"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x576 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotting(pca3_serum_df, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "id": "EYPgDQ9A0gx8"
   },
   "outputs": [],
   "source": [
    "pca4_serum = pca_analysis(serum, 4)\n",
    "\n",
    "pca4_serum_df = make_dataframe(pca4_serum, 4)\n",
    "# print(pca4_serum_df.head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 510
    },
    "id": "k9JGmoWDH-iP",
    "outputId": "292d2af0-d150-417c-e3d5-24c86db26581"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x576 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotting(pca4_serum_df, 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "id": "vZ16An_m-3TG"
   },
   "outputs": [],
   "source": [
    "pca5_serum = pca_analysis(serum, 5)\n",
    "\n",
    "pca5_serum_df = make_dataframe(pca5_serum, 5)\n",
    "# print(pca5_serum_df.head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 506
    },
    "id": "7tAZAD4o_Lwv",
    "outputId": "77199232-ad1c-42db-bce4-39bc4c8e32c4"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x576 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotting(pca5_serum_df, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "id": "1nMBpd5JIy3s"
   },
   "outputs": [],
   "source": [
    "# now do PCA for 10, 15, 20\n",
    "pca10_serum = pca_analysis(serum, 10)\n",
    "pca10_serum_df = make_dataframe(pca10_serum, 10)\n",
    "\n",
    "pca15_serum = pca_analysis(serum, 15)\n",
    "pca15_serum_df = make_dataframe(pca15_serum, 15)\n",
    "\n",
    "pca20_serum = pca_analysis(serum, 20)\n",
    "pca20_serum_df = make_dataframe(pca20_serum, 20)\n",
    "# print(pca20_serum.head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "id": "OJ4K_kNKNqWP"
   },
   "outputs": [],
   "source": [
    "# pca15_serum_df.to_csv(\"serum/pca15_serum_metabolics.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 265
    },
    "id": "BaIC09d1YJyp",
    "outputId": "237ba941-6c89-4eea-d789-7f8d6349cb10"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsne2_serum = tsne_analysis(serum, 2)\n",
    "\n",
    "tsne2_serum_df = tsne_dataframe(tsne2_serum, 2)\n",
    "# print(tsne2_serum_df.head)\n",
    "# plotting(tsne2_serum_df, 1, 1)\n",
    "\n",
    "for target, color in zip(targets,colors):\n",
    "    indicesToKeep = tsne2_serum_df.Class == target\n",
    "    plt.scatter(tsne2_serum_df.loc[indicesToKeep, 'tsne1']\n",
    "               , tsne2_serum_df.loc[indicesToKeep, 'tsne2'], c = color, s = 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 510
    },
    "id": "qKnrjJTzYh63",
    "outputId": "d8263a8f-454b-47dc-e94d-6a016fd1153e"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x576 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsne3_serum = tsne_analysis(serum, 3)\n",
    "\n",
    "tsne3_serum_df = tsne_dataframe(tsne3_serum, 3)\n",
    "# print(tsne3_serum_df.head)\n",
    "tsne_plotting(tsne3_serum_df, 3)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "id": "P-BRS2vwvm8x"
   },
   "outputs": [],
   "source": [
    "# tsne2_serum_df.to_csv('plasma/tsne2_serum_metabolics.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "O5YQ-9mOzz0x"
   },
   "source": [
    "# Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "id": "sLVgPz17wu7w"
   },
   "outputs": [],
   "source": [
    "# !pip install lazypredict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "id": "wofvYf1N0sEL"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\UTSHAB\\AppData\\Roaming\\Python\\Python37\\site-packages\\sklearn\\utils\\deprecation.py:143: FutureWarning: The sklearn.utils.testing module is  deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.utils. Anything that cannot be imported from sklearn.utils is now part of the private API.\n",
      "  warnings.warn(message, FutureWarning)\n"
     ]
    }
   ],
   "source": [
    "import lazypredict\n",
    "from lazypredict.Supervised import LazyClassifier\n",
    "\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import matthews_corrcoef\n",
    "from sklearn.metrics import classification_report\n",
    "\n",
    "from sklearn.model_selection import ShuffleSplit, train_test_split, StratifiedKFold"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "id": "mFGBwSwYBpsx"
   },
   "outputs": [],
   "source": [
    "def get_xy(df):\n",
    "  X = df.drop('Class', axis=1)\n",
    "  X = X.apply(pd.to_numeric)\n",
    "  y = df['Class'].copy()\n",
    "  y = y.map({\"control\": 0, \"disease\": 1})\n",
    "  return X, y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "id": "eKoAzi2-XCzq"
   },
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler, MinMaxScaler, RobustScaler, LabelEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pc1      object\n",
       "pc2      object\n",
       "Class    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca2_plasma_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # make the independent variables float type\n",
    "# pca2_plasma_df['Class'].map({\"control\": 0, \"disease\": 1})\n",
    "# plasma = pca2_plasma_df.apply(pd.to_numeric)\n",
    "# plasma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_names = ['ExtraTreeClassifier', 'DecisionTreeClassifier', 'XGBClassifier',\n",
    "       'RandomForestClassifier', 'NearestCentroid', 'KNeighborsClassifier',\n",
    "       'QuadraticDiscriminantAnalysis', 'LinearSVC', 'BaggingClassifier',\n",
    "       'SGDClassifier', 'LogisticRegression', 'LGBMClassifier',\n",
    "       'CalibratedClassifierCV', 'GaussianNB', 'BernoulliNB',\n",
    "       'PassiveAggressiveClassifier', 'LabelSpreading', 'LabelPropagation',\n",
    "       'ExtraTreesClassifier', 'Perceptron', 'LinearDiscriminantAnalysis',\n",
    "       'RidgeClassifier', 'AdaBoostClassifier', 'NuSVC', 'SVC',\n",
    "       'RidgeClassifierCV', 'DummyClassifier']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 36.66it/s]\n"
     ]
    }
   ],
   "source": [
    "full_result = []\n",
    "accuracy = []\n",
    "for k in [0]:\n",
    "    if k==0:\n",
    "        name = ['Serum(Specific Metabolics)']\n",
    "        dfs = [serum]\n",
    "    elif k==22 or k==23:\n",
    "        name = [f'tsne{k-20}_plasma(Specific Metabolics)', f'tsne{k-20}_serum(Specific Metabolics)']\n",
    "        dfs = [vars()[f'tsne{k-20}_plasma_df'], vars()[f'tsne{k-20}_serum_df']]\n",
    "    else:\n",
    "        if k>10:\n",
    "            name = [f'pca{k}_plasma(Specific Metabolics)']\n",
    "            dfs = [vars()[f'pca{k}_plasma_df']]\n",
    "        else:\n",
    "            name = [f'pca{k}_plasma(Specific Metabolics)', f'pca{k}_serum(Specific Metabolics)']\n",
    "            dfs = [vars()[f'pca{k}_plasma_df'], vars()[f'pca{k}_serum_df']]\n",
    "    \n",
    "    random_state = 42\n",
    "\n",
    "    for idx, data in enumerate(dfs):\n",
    "      result = []\n",
    "      X, y = get_xy(data)\n",
    "      rs = ShuffleSplit(n_splits=1, test_size=.2, random_state=random_state)\n",
    "      \n",
    "      for train_index, test_index in rs.split(X):\n",
    "        clf = LazyClassifier(verbose=0, ignore_warnings=True, custom_metric=matthews_corrcoef, predictions=True)\n",
    "        X_train, X_test = X.iloc[train_index], X.iloc[test_index]\n",
    "        y_train, y_test = y.iloc[train_index], y.iloc[test_index]\n",
    "\n",
    "        models, predictions = clf.fit(X_train, X_test, y_train, y_test)\n",
    "        result.append(models)\n",
    "\n",
    "      acc = []\n",
    "      for i in range(1):\n",
    "        acc.append(result[i].iloc[0]['Balanced Accuracy'])\n",
    "\n",
    "#       print(f'\\n{name[idx]}: {sum(acc)/len(acc)}')\n",
    "#       accuracy.append([f'{name[idx]}', f'{sum(acc)/len(acc)}'])\n",
    "        \n",
    "      full_result.append(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'AdaBoostClassifier': [0, 0.8636363636363636],\n",
       " 'BaggingClassifier': [0, 0.7348484848484849],\n",
       " 'BernoulliNB': [1, 0.9090909090909092],\n",
       " 'CalibratedClassifierCV': [0, 0.7348484848484849],\n",
       " 'DecisionTreeClassifier': [0, 0.6439393939393939],\n",
       " 'DummyClassifier': [0, 0.606060606060606],\n",
       " 'ExtraTreeClassifier': [0, 0.606060606060606],\n",
       " 'ExtraTreesClassifier': [0, 0.8181818181818181],\n",
       " 'GaussianNB': [0, 0.696969696969697],\n",
       " 'KNeighborsClassifier': [0, 0.6515151515151515],\n",
       " 'LGBMClassifier': [0, 0.696969696969697],\n",
       " 'LabelPropagation': [0, 0.5],\n",
       " 'LabelSpreading': [0, 0.5],\n",
       " 'LinearDiscriminantAnalysis': [0, 0.6136363636363636],\n",
       " 'LinearSVC': [0, 0.6515151515151515],\n",
       " 'LogisticRegression': [0, 0.6515151515151515],\n",
       " 'NearestCentroid': [0, 0.606060606060606],\n",
       " 'NuSVC': [0, 0.6893939393939394],\n",
       " 'PassiveAggressiveClassifier': [0, 0.6515151515151515],\n",
       " 'Perceptron': [0, 0.4772727272727273],\n",
       " 'QuadraticDiscriminantAnalysis': [0, 0.6136363636363636],\n",
       " 'RandomForestClassifier': [0, 0.8257575757575758],\n",
       " 'RidgeClassifier': [0, 0.7348484848484849],\n",
       " 'RidgeClassifierCV': [0, 0.6515151515151515],\n",
       " 'SGDClassifier': [0, 0.5606060606060606],\n",
       " 'SVC': [0, 0.6439393939393939],\n",
       " 'XGBClassifier': [0, 0.7803030303030303]}"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_topper = {}\n",
    "for i in model_names:\n",
    "    vars()[i] = [0, 0.0]\n",
    "    model_topper[i] = vars()[i]\n",
    "for i in range(1):\n",
    "    for j in range(len(model_names)):\n",
    "        if full_result[0][i].index[0] == model_names[j]:\n",
    "            vars()[model_names[j]][0] += 1\n",
    "        vars()[model_names[j]][1] += full_result[0][i].loc[model_names[j]]['Balanced Accuracy']\n",
    "        model_topper[model_names[j]] = vars()[model_names[j]]\n",
    "\n",
    "model_topper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "or5h3YFslXGj",
    "outputId": "47d00867-deaf-48ef-fd2b-98d91a421e76"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 35.41it/s]\n",
      "  3%|▎         | 1/29 [00:00<00:03,  8.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Plasma(Raw): 0.7424242424242424\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 34.16it/s]\n",
      " 10%|█         | 3/29 [00:00<00:00, 27.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Serum(Raw): 0.8636363636363636\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 48.50it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 19.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca2_plasma: 0.4318181818181818\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 50.17it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 19.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca2_serum: 0.3484848484848485\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 49.66it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 19.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca3_plasma: 0.696969696969697\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 49.66it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 18.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca3_serum: 0.606060606060606\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 49.24it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 19.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca4_plasma: 0.8181818181818181\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 49.15it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 19.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca4_serum: 0.5681818181818181\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 49.24it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 19.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca5_plasma: 0.7348484848484849\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 47.62it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 19.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca5_serum: 0.5681818181818181\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 48.17it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 19.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca10_plasma: 0.553030303030303\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 48.49it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 18.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca10_serum: 0.5606060606060606\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 47.46it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 18.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca15_plasma: 0.6893939393939394\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 47.70it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 18.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca15_serum: 0.4772727272727273\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 46.25it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 18.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca20_plasma: 0.7348484848484849\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 47.15it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 19.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "pca20_serum: 0.5681818181818181\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 48.90it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 19.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "tsne2_plasma: 0.8257575757575758\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 49.91it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 19.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "tsne2_serum: 0.6515151515151515\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 49.15it/s]\n",
      "  7%|▋         | 2/29 [00:00<00:01, 18.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "tsne3_plasma: 0.5606060606060606\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 29/29 [00:00<00:00, 47.85it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "tsne3_serum: 0.6590909090909092\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "accuracy = []\n",
    "for k in [0, 2, 3, 4, 5, 10, 15, 20, 22, 23]:\n",
    "    if k==0:\n",
    "        name = ['Plasma(Raw)', 'Serum(Raw)']\n",
    "        dfs = [plasma, serum]\n",
    "    elif k==22 or k==23:\n",
    "        name = [f'tsne{k-20}_plasma', f'tsne{k-20}_serum']\n",
    "        dfs = [vars()[f'tsne{k-20}_plasma_df'], vars()[f'tsne{k-20}_serum_df']]\n",
    "    else:\n",
    "        name = [f'pca{k}_plasma', f'pca{k}_serum']\n",
    "        dfs = [vars()[f'pca{k}_plasma_df'], vars()[f'pca{k}_serum_df']]\n",
    "    \n",
    "    random_state = 42\n",
    "\n",
    "    for idx, data in enumerate(dfs):\n",
    "      result = []\n",
    "      X, y = get_xy(data)\n",
    "      rs = ShuffleSplit(n_splits=1, test_size=.2, random_state=random_state)\n",
    "      raw_x = X\n",
    "      for train_index, test_index in rs.split(X):\n",
    "        clf = LazyClassifier(verbose=0, ignore_warnings=True, custom_metric=matthews_corrcoef, predictions=True)\n",
    "        X_train, X_test = X.iloc[train_index], X.iloc[test_index]\n",
    "        y_train, y_test = y.iloc[train_index], y.iloc[test_index]\n",
    "        \n",
    "        scaler = RobustScaler()\n",
    "\n",
    "        cols = X_train.columns\n",
    "        X_train = scaler.fit_transform(X_train)\n",
    "        X_test = scaler.transform(X_test)\n",
    "\n",
    "        X_train = pd.DataFrame(X_train, columns=[cols])\n",
    "        X_test = pd.DataFrame(X_test, columns=[cols])\n",
    "\n",
    "        models, predictions = clf.fit(X_train, X_test, y_train, y_test)\n",
    "        result.append(models)\n",
    "\n",
    "      acc = []\n",
    "      for i in range(1):\n",
    "         for j in range(len(model_names)):\n",
    "           if result[i].index[j] == 'AdaBoostClassifier':\n",
    "             acc.append(result[i].loc['AdaBoostClassifier']['Balanced Accuracy'])\n",
    "\n",
    "      print(f'\\n{name[idx]}: {sum(acc)/len(acc)}')\n",
    "      accuracy.append([f'{name[idx]}', f'{sum(acc)/len(acc)}'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "accuracy_df = pd.DataFrame(accuracy, columns=['Processed Dataset', 'Accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Processed Dataset     object\n",
       "Accuracy             float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_df.to_csv('accuracy/accuracy_Raw.csv')\n",
    "accuracy_df['Accuracy'] = accuracy_df['Accuracy'].astype(float)\n",
    "accuracy_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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>Processed Dataset</th>\n",
       "      <th>Accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Plasma(Specific Metabolics)</td>\n",
       "      <td>0.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Serum(Specific Metabolics)</td>\n",
       "      <td>0.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pca2_plasma(Specific Metabolics)</td>\n",
       "      <td>0.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>pca2_serum(Specific Metabolics)</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pca3_plasma(Specific Metabolics)</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Processed Dataset  Accuracy\n",
       "0       Plasma(Specific Metabolics)      0.88\n",
       "1        Serum(Specific Metabolics)      0.93\n",
       "2  pca2_plasma(Specific Metabolics)      0.90\n",
       "3   pca2_serum(Specific Metabolics)      0.89\n",
       "4  pca3_plasma(Specific Metabolics)      0.89"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_metabolics = pd.read_csv('accuracy/accuracy_Specific Metabolics.csv', float_precision='high').drop('Unnamed: 0', axis = 1)\n",
    "accuracy_metabolics.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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>Processed Dataset</th>\n",
       "      <th>Accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Plasma(Raw)</td>\n",
       "      <td>0.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Serum(Raw)</td>\n",
       "      <td>0.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pca2_plasma</td>\n",
       "      <td>0.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>pca2_serum</td>\n",
       "      <td>0.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pca3_plasma</td>\n",
       "      <td>0.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>pca3_serum</td>\n",
       "      <td>0.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>pca4_plasma</td>\n",
       "      <td>0.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>pca4_serum</td>\n",
       "      <td>0.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>pca5_plasma</td>\n",
       "      <td>0.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>pca5_serum</td>\n",
       "      <td>0.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>pca10_plasma</td>\n",
       "      <td>0.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>pca10_serum</td>\n",
       "      <td>0.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>pca15_plasma</td>\n",
       "      <td>0.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>pca15_serum</td>\n",
       "      <td>0.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>pca20_plasma</td>\n",
       "      <td>0.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>pca20_serum</td>\n",
       "      <td>0.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>tsne2_plasma</td>\n",
       "      <td>0.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>tsne2_serum</td>\n",
       "      <td>0.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>tsne3_plasma</td>\n",
       "      <td>0.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>tsne3_serum</td>\n",
       "      <td>0.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Plasma(Specific Metabolics)</td>\n",
       "      <td>0.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Serum(Specific Metabolics)</td>\n",
       "      <td>0.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>pca2_plasma(Specific Metabolics)</td>\n",
       "      <td>0.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>pca2_serum(Specific Metabolics)</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>pca3_plasma(Specific Metabolics)</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>pca3_serum(Specific Metabolics)</td>\n",
       "      <td>0.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>pca4_plasma(Specific Metabolics)</td>\n",
       "      <td>0.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>pca4_serum(Specific Metabolics)</td>\n",
       "      <td>0.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>pca5_plasma(Specific Metabolics)</td>\n",
       "      <td>0.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>pca5_serum(Specific Metabolics)</td>\n",
       "      <td>0.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>pca10_plasma(Specific Metabolics)</td>\n",
       "      <td>0.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>pca10_serum(Specific Metabolics)</td>\n",
       "      <td>0.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>pca15_plasma(Specific Metabolics)</td>\n",
       "      <td>0.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>pca15_serum(Specific Metabolics)</td>\n",
       "      <td>0.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>pca20_plasma(Specific Metabolics)</td>\n",
       "      <td>0.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>pca20_serum(Specific Metabolics)</td>\n",
       "      <td>0.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>tsne2_plasma(Specific Metabolics)</td>\n",
       "      <td>0.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>tsne2_serum(Specific Metabolics)</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>tsne3_plasma(Specific Metabolics)</td>\n",
       "      <td>0.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>tsne3_serum(Specific Metabolics)</td>\n",
       "      <td>0.73</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Processed Dataset  Accuracy\n",
       "0                         Plasma(Raw)      0.87\n",
       "1                          Serum(Raw)      0.85\n",
       "2                         pca2_plasma      0.80\n",
       "3                          pca2_serum      0.70\n",
       "4                         pca3_plasma      0.83\n",
       "5                          pca3_serum      0.78\n",
       "6                         pca4_plasma      0.86\n",
       "7                          pca4_serum      0.83\n",
       "8                         pca5_plasma      0.83\n",
       "9                          pca5_serum      0.83\n",
       "10                       pca10_plasma      0.84\n",
       "11                        pca10_serum      0.82\n",
       "12                       pca15_plasma      0.85\n",
       "13                        pca15_serum      0.81\n",
       "14                       pca20_plasma      0.83\n",
       "15                        pca20_serum      0.84\n",
       "16                       tsne2_plasma      0.78\n",
       "17                        tsne2_serum      0.77\n",
       "18                       tsne3_plasma      0.77\n",
       "19                        tsne3_serum      0.72\n",
       "20        Plasma(Specific Metabolics)      0.88\n",
       "21         Serum(Specific Metabolics)      0.93\n",
       "22   pca2_plasma(Specific Metabolics)      0.90\n",
       "23    pca2_serum(Specific Metabolics)      0.89\n",
       "24   pca3_plasma(Specific Metabolics)      0.89\n",
       "25    pca3_serum(Specific Metabolics)      0.88\n",
       "26   pca4_plasma(Specific Metabolics)      0.90\n",
       "27    pca4_serum(Specific Metabolics)      0.88\n",
       "28   pca5_plasma(Specific Metabolics)      0.90\n",
       "29    pca5_serum(Specific Metabolics)      0.90\n",
       "30  pca10_plasma(Specific Metabolics)      0.90\n",
       "31   pca10_serum(Specific Metabolics)      0.90\n",
       "32  pca15_plasma(Specific Metabolics)      0.90\n",
       "33   pca15_serum(Specific Metabolics)      0.90\n",
       "34  pca20_plasma(Specific Metabolics)      0.88\n",
       "35   pca20_serum(Specific Metabolics)      0.90\n",
       "36  tsne2_plasma(Specific Metabolics)      0.91\n",
       "37   tsne2_serum(Specific Metabolics)      0.89\n",
       "38  tsne3_plasma(Specific Metabolics)      0.76\n",
       "39   tsne3_serum(Specific Metabolics)      0.73"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_acc = pd.concat([accuracy_df, accuracy_metabolics], ignore_index=True)\n",
    "final_acc.to_csv('accuracy/accuracy_final.csv')\n",
    "final_acc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "serum-plasma-utshab.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}