{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "H6eOwX3UGpvG"
      },
      "outputs": [],
      "source": [
        "import pathlib\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "# ML models\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.neighbors import KNeighborsRegressor\n",
        "from sklearn.ensemble import RandomForestRegressor\n",
        "from sklearn.model_selection import train_test_split\n",
        "# Multilayer Perceptron\n",
        "from keras import Model\n",
        "from keras.api.layers import Input\n",
        "from keras.api.layers import Dense\n",
        "from keras.api.layers import Dropout\n",
        "from keras.api.layers import concatenate\n",
        "from keras import optimizers\n",
        "from keras import backend\n",
        "from keras.api.layers import LeakyReLU, PReLU\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "xO6mZcSAGyp7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Cloning into 'photodetectors'...\n",
            "remote: Enumerating objects: 21, done.\u001b[K\n",
            "remote: Counting objects: 100% (21/21), done.\u001b[K\n",
            "remote: Compressing objects: 100% (19/19), done.\u001b[K\n",
            "remote: Total 21 (delta 5), reused 0 (delta 0), pack-reused 0 (from 0)\u001b[K\n",
            "Receiving objects: 100% (21/21), 141.10 KiB | 708.00 KiB/s, done.\n",
            "Resolving deltas: 100% (5/5), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/simsekergun/photodetectors.git\n",
        "df = pd.read_csv(\"./photodetectors/MUTC1750designs.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "1qLZ_FkrHJJB"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(1755, 39)"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# let's take log10 of doping levels so that we deal with numbers in the similar ranges\n",
        "df[df.columns[22:40]] =np.log10(df[df.columns[22:40]])\n",
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "x5h23R0y1MXk"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>phasenoise</th>\n",
              "      <th>phasenoise_15mA</th>\n",
              "      <th>current</th>\n",
              "      <th>IR_max</th>\n",
              "      <th>decay_time</th>\n",
              "      <th>t1</th>\n",
              "      <th>t2</th>\n",
              "      <th>t3</th>\n",
              "      <th>t4</th>\n",
              "      <th>t5</th>\n",
              "      <th>t6</th>\n",
              "      <th>t7</th>\n",
              "      <th>t8</th>\n",
              "      <th>t9</th>\n",
              "      <th>t10</th>\n",
              "      <th>t11</th>\n",
              "      <th>t12</th>\n",
              "      <th>t13</th>\n",
              "      <th>t14</th>\n",
              "      <th>t15</th>\n",
              "      <th>t16</th>\n",
              "      <th>t17</th>\n",
              "      <th>d1</th>\n",
              "      <th>d2</th>\n",
              "      <th>d3</th>\n",
              "      <th>d4</th>\n",
              "      <th>d5</th>\n",
              "      <th>d6</th>\n",
              "      <th>d7</th>\n",
              "      <th>d8</th>\n",
              "      <th>d9</th>\n",
              "      <th>d10</th>\n",
              "      <th>d11</th>\n",
              "      <th>d12</th>\n",
              "      <th>d13</th>\n",
              "      <th>d14</th>\n",
              "      <th>d15</th>\n",
              "      <th>d16</th>\n",
              "      <th>d17</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-161.516</td>\n",
              "      <td>-170.938</td>\n",
              "      <td>0.001713</td>\n",
              "      <td>32002500000</td>\n",
              "      <td>184.775</td>\n",
              "      <td>20.7</td>\n",
              "      <td>121.5</td>\n",
              "      <td>6.0</td>\n",
              "      <td>33.5</td>\n",
              "      <td>96.7</td>\n",
              "      <td>153.3</td>\n",
              "      <td>338.8</td>\n",
              "      <td>159.6</td>\n",
              "      <td>83.3</td>\n",
              "      <td>98.9</td>\n",
              "      <td>45.0</td>\n",
              "      <td>44.9</td>\n",
              "      <td>830.5</td>\n",
              "      <td>123.0</td>\n",
              "      <td>603.3</td>\n",
              "      <td>37.3</td>\n",
              "      <td>253.2</td>\n",
              "      <td>1.305783</td>\n",
              "      <td>1.271364</td>\n",
              "      <td>1.272096</td>\n",
              "      <td>1.266428</td>\n",
              "      <td>1.252470</td>\n",
              "      <td>1.258483</td>\n",
              "      <td>1.234552</td>\n",
              "      <td>1.274379</td>\n",
              "      <td>1.179281</td>\n",
              "      <td>1.175028</td>\n",
              "      <td>1.179184</td>\n",
              "      <td>1.207985</td>\n",
              "      <td>1.187753</td>\n",
              "      <td>1.272959</td>\n",
              "      <td>1.259361</td>\n",
              "      <td>1.277114</td>\n",
              "      <td>1.265405</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>-162.136</td>\n",
              "      <td>-171.316</td>\n",
              "      <td>0.001812</td>\n",
              "      <td>28499800000</td>\n",
              "      <td>161.603</td>\n",
              "      <td>76.7</td>\n",
              "      <td>79.0</td>\n",
              "      <td>85.4</td>\n",
              "      <td>12.0</td>\n",
              "      <td>77.6</td>\n",
              "      <td>220.4</td>\n",
              "      <td>324.4</td>\n",
              "      <td>154.2</td>\n",
              "      <td>104.2</td>\n",
              "      <td>48.5</td>\n",
              "      <td>60.9</td>\n",
              "      <td>44.5</td>\n",
              "      <td>1260.3</td>\n",
              "      <td>105.4</td>\n",
              "      <td>681.2</td>\n",
              "      <td>76.2</td>\n",
              "      <td>134.3</td>\n",
              "      <td>1.293540</td>\n",
              "      <td>1.257687</td>\n",
              "      <td>1.243595</td>\n",
              "      <td>1.265327</td>\n",
              "      <td>1.251831</td>\n",
              "      <td>1.277288</td>\n",
              "      <td>1.229116</td>\n",
              "      <td>1.269485</td>\n",
              "      <td>1.197379</td>\n",
              "      <td>1.217584</td>\n",
              "      <td>1.201889</td>\n",
              "      <td>1.236232</td>\n",
              "      <td>1.172271</td>\n",
              "      <td>1.235070</td>\n",
              "      <td>1.259907</td>\n",
              "      <td>1.272348</td>\n",
              "      <td>1.274908</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>-162.661</td>\n",
              "      <td>-172.271</td>\n",
              "      <td>0.001641</td>\n",
              "      <td>34642300000</td>\n",
              "      <td>174.001</td>\n",
              "      <td>86.5</td>\n",
              "      <td>94.5</td>\n",
              "      <td>7.0</td>\n",
              "      <td>16.6</td>\n",
              "      <td>111.4</td>\n",
              "      <td>119.6</td>\n",
              "      <td>259.9</td>\n",
              "      <td>216.2</td>\n",
              "      <td>93.8</td>\n",
              "      <td>74.6</td>\n",
              "      <td>66.7</td>\n",
              "      <td>70.3</td>\n",
              "      <td>865.6</td>\n",
              "      <td>60.8</td>\n",
              "      <td>631.5</td>\n",
              "      <td>57.8</td>\n",
              "      <td>301.8</td>\n",
              "      <td>1.309769</td>\n",
              "      <td>1.242361</td>\n",
              "      <td>1.234008</td>\n",
              "      <td>1.250800</td>\n",
              "      <td>1.282955</td>\n",
              "      <td>1.284047</td>\n",
              "      <td>1.236361</td>\n",
              "      <td>1.275011</td>\n",
              "      <td>1.208796</td>\n",
              "      <td>1.186756</td>\n",
              "      <td>1.184345</td>\n",
              "      <td>1.217257</td>\n",
              "      <td>1.198920</td>\n",
              "      <td>1.257687</td>\n",
              "      <td>1.251787</td>\n",
              "      <td>1.287910</td>\n",
              "      <td>1.260488</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   phasenoise  phasenoise_15mA   current  ...       d15       d16       d17\n",
              "0    -161.516         -170.938  0.001713  ...  1.259361  1.277114  1.265405\n",
              "1    -162.136         -171.316  0.001812  ...  1.259907  1.272348  1.274908\n",
              "2    -162.661         -172.271  0.001641  ...  1.251787  1.287910  1.260488\n",
              "\n",
              "[3 rows x 39 columns]"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head(3)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "iyFCz4P3xSgt"
      },
      "outputs": [
        {
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>phasenoise</th>\n",
              "      <th>phasenoise_15mA</th>\n",
              "      <th>current</th>\n",
              "      <th>IR_max</th>\n",
              "      <th>decay_time</th>\n",
              "      <th>t1</th>\n",
              "      <th>t2</th>\n",
              "      <th>t3</th>\n",
              "      <th>t4</th>\n",
              "      <th>t5</th>\n",
              "      <th>t6</th>\n",
              "      <th>t7</th>\n",
              "      <th>t8</th>\n",
              "      <th>t9</th>\n",
              "      <th>t10</th>\n",
              "      <th>t11</th>\n",
              "      <th>t12</th>\n",
              "      <th>t13</th>\n",
              "      <th>t14</th>\n",
              "      <th>t15</th>\n",
              "      <th>t16</th>\n",
              "      <th>t17</th>\n",
              "      <th>d1</th>\n",
              "      <th>d2</th>\n",
              "      <th>d3</th>\n",
              "      <th>d4</th>\n",
              "      <th>d5</th>\n",
              "      <th>d6</th>\n",
              "      <th>d7</th>\n",
              "      <th>d8</th>\n",
              "      <th>d9</th>\n",
              "      <th>d10</th>\n",
              "      <th>d11</th>\n",
              "      <th>d12</th>\n",
              "      <th>d13</th>\n",
              "      <th>d14</th>\n",
              "      <th>d15</th>\n",
              "      <th>d16</th>\n",
              "      <th>d17</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1.755000e+03</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "      <td>1755.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>-170.904159</td>\n",
              "      <td>-177.668607</td>\n",
              "      <td>0.003658</td>\n",
              "      <td>5.396398e+10</td>\n",
              "      <td>62.732325</td>\n",
              "      <td>47.636524</td>\n",
              "      <td>106.206610</td>\n",
              "      <td>34.891556</td>\n",
              "      <td>43.307134</td>\n",
              "      <td>107.375670</td>\n",
              "      <td>156.129744</td>\n",
              "      <td>128.975726</td>\n",
              "      <td>254.953846</td>\n",
              "      <td>218.316866</td>\n",
              "      <td>35.527464</td>\n",
              "      <td>43.459715</td>\n",
              "      <td>54.563818</td>\n",
              "      <td>802.370541</td>\n",
              "      <td>136.098519</td>\n",
              "      <td>862.386610</td>\n",
              "      <td>32.092536</td>\n",
              "      <td>271.600456</td>\n",
              "      <td>1.280365</td>\n",
              "      <td>1.262741</td>\n",
              "      <td>1.269587</td>\n",
              "      <td>1.262134</td>\n",
              "      <td>1.263356</td>\n",
              "      <td>1.267220</td>\n",
              "      <td>1.256298</td>\n",
              "      <td>1.248157</td>\n",
              "      <td>1.203600</td>\n",
              "      <td>1.213761</td>\n",
              "      <td>1.213221</td>\n",
              "      <td>1.231519</td>\n",
              "      <td>1.210515</td>\n",
              "      <td>1.254799</td>\n",
              "      <td>1.283609</td>\n",
              "      <td>1.278957</td>\n",
              "      <td>1.281338</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>3.845182</td>\n",
              "      <td>2.248727</td>\n",
              "      <td>0.002374</td>\n",
              "      <td>1.190861e+10</td>\n",
              "      <td>31.641076</td>\n",
              "      <td>24.608927</td>\n",
              "      <td>30.429793</td>\n",
              "      <td>23.385138</td>\n",
              "      <td>23.912232</td>\n",
              "      <td>29.172582</td>\n",
              "      <td>40.302115</td>\n",
              "      <td>81.194499</td>\n",
              "      <td>63.676506</td>\n",
              "      <td>85.056834</td>\n",
              "      <td>21.260319</td>\n",
              "      <td>22.277059</td>\n",
              "      <td>19.309264</td>\n",
              "      <td>202.134651</td>\n",
              "      <td>39.325906</td>\n",
              "      <td>191.843329</td>\n",
              "      <td>18.135171</td>\n",
              "      <td>71.291083</td>\n",
              "      <td>0.013304</td>\n",
              "      <td>0.013805</td>\n",
              "      <td>0.016595</td>\n",
              "      <td>0.009999</td>\n",
              "      <td>0.010315</td>\n",
              "      <td>0.020539</td>\n",
              "      <td>0.013058</td>\n",
              "      <td>0.010051</td>\n",
              "      <td>0.012082</td>\n",
              "      <td>0.021262</td>\n",
              "      <td>0.021350</td>\n",
              "      <td>0.011327</td>\n",
              "      <td>0.021947</td>\n",
              "      <td>0.010004</td>\n",
              "      <td>0.012368</td>\n",
              "      <td>0.009532</td>\n",
              "      <td>0.012649</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-178.621000</td>\n",
              "      <td>-183.613000</td>\n",
              "      <td>0.001459</td>\n",
              "      <td>2.849980e+10</td>\n",
              "      <td>22.224300</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>36.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>23.800000</td>\n",
              "      <td>22.000000</td>\n",
              "      <td>49.900000</td>\n",
              "      <td>79.500000</td>\n",
              "      <td>81.200000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>315.000000</td>\n",
              "      <td>36.000000</td>\n",
              "      <td>388.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>72.000000</td>\n",
              "      <td>1.257852</td>\n",
              "      <td>1.229891</td>\n",
              "      <td>1.233006</td>\n",
              "      <td>1.233093</td>\n",
              "      <td>1.233518</td>\n",
              "      <td>1.227379</td>\n",
              "      <td>1.222891</td>\n",
              "      <td>1.217619</td>\n",
              "      <td>1.170303</td>\n",
              "      <td>1.170303</td>\n",
              "      <td>1.170263</td>\n",
              "      <td>1.202691</td>\n",
              "      <td>1.170303</td>\n",
              "      <td>1.225539</td>\n",
              "      <td>1.250587</td>\n",
              "      <td>1.250421</td>\n",
              "      <td>1.250454</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>-173.773000</td>\n",
              "      <td>-179.189500</td>\n",
              "      <td>0.002360</td>\n",
              "      <td>4.545390e+10</td>\n",
              "      <td>37.899700</td>\n",
              "      <td>31.850000</td>\n",
              "      <td>90.300000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>15.000000</td>\n",
              "      <td>95.900000</td>\n",
              "      <td>139.150000</td>\n",
              "      <td>72.000000</td>\n",
              "      <td>236.050000</td>\n",
              "      <td>192.400000</td>\n",
              "      <td>16.200000</td>\n",
              "      <td>19.300000</td>\n",
              "      <td>43.950000</td>\n",
              "      <td>653.750000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>738.600000</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>200.000000</td>\n",
              "      <td>1.271149</td>\n",
              "      <td>1.256458</td>\n",
              "      <td>1.259604</td>\n",
              "      <td>1.257003</td>\n",
              "      <td>1.259535</td>\n",
              "      <td>1.253919</td>\n",
              "      <td>1.248718</td>\n",
              "      <td>1.242595</td>\n",
              "      <td>1.197599</td>\n",
              "      <td>1.200548</td>\n",
              "      <td>1.199698</td>\n",
              "      <td>1.224819</td>\n",
              "      <td>1.196133</td>\n",
              "      <td>1.250353</td>\n",
              "      <td>1.276583</td>\n",
              "      <td>1.275834</td>\n",
              "      <td>1.273941</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>-170.027000</td>\n",
              "      <td>-177.815000</td>\n",
              "      <td>0.002539</td>\n",
              "      <td>5.236430e+10</td>\n",
              "      <td>53.955800</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>26.800000</td>\n",
              "      <td>47.000000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>150.000000</td>\n",
              "      <td>92.000000</td>\n",
              "      <td>250.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>31.000000</td>\n",
              "      <td>47.000000</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>856.600000</td>\n",
              "      <td>138.800000</td>\n",
              "      <td>900.000000</td>\n",
              "      <td>23.100000</td>\n",
              "      <td>298.600000</td>\n",
              "      <td>1.282955</td>\n",
              "      <td>1.259500</td>\n",
              "      <td>1.264769</td>\n",
              "      <td>1.262476</td>\n",
              "      <td>1.262476</td>\n",
              "      <td>1.260105</td>\n",
              "      <td>1.252928</td>\n",
              "      <td>1.247948</td>\n",
              "      <td>1.204120</td>\n",
              "      <td>1.207111</td>\n",
              "      <td>1.205866</td>\n",
              "      <td>1.232829</td>\n",
              "      <td>1.204120</td>\n",
              "      <td>1.255273</td>\n",
              "      <td>1.282290</td>\n",
              "      <td>1.278754</td>\n",
              "      <td>1.278754</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>-168.358000</td>\n",
              "      <td>-176.220500</td>\n",
              "      <td>0.003013</td>\n",
              "      <td>6.194950e+10</td>\n",
              "      <td>75.028400</td>\n",
              "      <td>52.600000</td>\n",
              "      <td>120.350000</td>\n",
              "      <td>47.200000</td>\n",
              "      <td>60.400000</td>\n",
              "      <td>120.300000</td>\n",
              "      <td>170.950000</td>\n",
              "      <td>179.300000</td>\n",
              "      <td>276.500000</td>\n",
              "      <td>231.000000</td>\n",
              "      <td>47.300000</td>\n",
              "      <td>58.750000</td>\n",
              "      <td>61.000000</td>\n",
              "      <td>900.000000</td>\n",
              "      <td>167.500000</td>\n",
              "      <td>916.000000</td>\n",
              "      <td>43.800000</td>\n",
              "      <td>328.000000</td>\n",
              "      <td>1.288155</td>\n",
              "      <td>1.267622</td>\n",
              "      <td>1.282595</td>\n",
              "      <td>1.265576</td>\n",
              "      <td>1.268147</td>\n",
              "      <td>1.283516</td>\n",
              "      <td>1.265727</td>\n",
              "      <td>1.252484</td>\n",
              "      <td>1.210962</td>\n",
              "      <td>1.230286</td>\n",
              "      <td>1.229954</td>\n",
              "      <td>1.241935</td>\n",
              "      <td>1.227826</td>\n",
              "      <td>1.258132</td>\n",
              "      <td>1.297774</td>\n",
              "      <td>1.282561</td>\n",
              "      <td>1.292021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>-161.516000</td>\n",
              "      <td>-170.334000</td>\n",
              "      <td>0.009902</td>\n",
              "      <td>9.755770e+10</td>\n",
              "      <td>184.775000</td>\n",
              "      <td>178.000000</td>\n",
              "      <td>199.900000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>99.900000</td>\n",
              "      <td>199.800000</td>\n",
              "      <td>278.000000</td>\n",
              "      <td>353.300000</td>\n",
              "      <td>428.800000</td>\n",
              "      <td>693.000000</td>\n",
              "      <td>99.600000</td>\n",
              "      <td>100.100000</td>\n",
              "      <td>121.300000</td>\n",
              "      <td>1360.000000</td>\n",
              "      <td>209.200000</td>\n",
              "      <td>1360.000000</td>\n",
              "      <td>86.300000</td>\n",
              "      <td>392.000000</td>\n",
              "      <td>1.311776</td>\n",
              "      <td>1.298346</td>\n",
              "      <td>1.300466</td>\n",
              "      <td>1.298409</td>\n",
              "      <td>1.298409</td>\n",
              "      <td>1.302097</td>\n",
              "      <td>1.280884</td>\n",
              "      <td>1.278472</td>\n",
              "      <td>1.235355</td>\n",
              "      <td>1.248242</td>\n",
              "      <td>1.247667</td>\n",
              "      <td>1.251609</td>\n",
              "      <td>1.253417</td>\n",
              "      <td>1.298283</td>\n",
              "      <td>1.305204</td>\n",
              "      <td>1.305204</td>\n",
              "      <td>1.305263</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        phasenoise  phasenoise_15mA  ...          d16          d17\n",
              "count  1755.000000      1755.000000  ...  1755.000000  1755.000000\n",
              "mean   -170.904159      -177.668607  ...     1.278957     1.281338\n",
              "std       3.845182         2.248727  ...     0.009532     0.012649\n",
              "min    -178.621000      -183.613000  ...     1.250421     1.250454\n",
              "25%    -173.773000      -179.189500  ...     1.275834     1.273941\n",
              "50%    -170.027000      -177.815000  ...     1.278754     1.278754\n",
              "75%    -168.358000      -176.220500  ...     1.282561     1.292021\n",
              "max    -161.516000      -170.334000  ...     1.305204     1.305263\n",
              "\n",
              "[8 rows x 39 columns]"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "qBs0SZEek_Sh"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "phasenoise        -0.022499\n",
              "phasenoise_15mA   -0.012657\n",
              "current            0.649052\n",
              "IR_max             0.220677\n",
              "decay_time         0.504382\n",
              "dtype: float64"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "## Coefficient of Correlation\n",
        "df[df.columns[0:5]].std()/df[df.columns[0:5]].mean()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "lnIsvKeLIwZY"
      },
      "outputs": [],
      "source": [
        "# Let us some functions to normalize, de-normalize, and to calculate errors\n",
        "def normx(x):\n",
        "  return (x - train_statsX['mean']) / train_statsX['std']\n",
        "def norm(y):\n",
        "  return (y - train_statsY['mean']) / train_statsY['std']\n",
        "def denorm(y):\n",
        "  return (y* train_statsY['std'] + train_statsY['mean'])  \n",
        "def mean_aep(u1,u2):  \n",
        "  return (round(100*(100*sum(abs((u2-u1)/u1))/len(u1)))/100)\n",
        "def max_aep(u1,u2):  \n",
        "  return (round(100*(100*max(abs((u2-u1)/u1))))/100)  "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "nAXW1rSrkJon"
      },
      "outputs": [],
      "source": [
        "# ANN parameters\n",
        "ac = 'relu'  # activation function\n",
        "nnno = 48    # number of neurons\n",
        "dr_rate = 0.2  # dropout rate\n",
        "EPOCHS = 400    # number of epocs\n",
        "LR = 0.001     # learning rate"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "T9UuySubf9K9"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
            "I0000 00:00:1736168330.701104    7460 cuda_executor.cc:1001] could not open file to read NUMA node: /sys/bus/pci/devices/0000:01:00.0/numa_node\n",
            "Your kernel may have been built without NUMA support.\n",
            "2025-01-06 20:58:50.873425: W tensorflow/core/common_runtime/gpu/gpu_device.cc:2343] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.\n",
            "Skipping registering GPU devices...\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step \n",
            "************ 0 ************\n",
            "Mean Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "0.38 0.4 0.19 0.16\n",
            "Max Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "1.66 3.32 1.46 1.05\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step \n",
            "************ 1 ************\n",
            "Mean Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "0.26 0.33 0.18 0.15\n",
            "Max Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "1.34 2.25 1.44 1.19\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step \n",
            "************ 2 ************\n",
            "Mean Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "17.24 5.19 3.55 2.88\n",
            "Max Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "114.74 61.85 40.41 20.69\n"
          ]
        },
        {
          "data": {
            "image/png": 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s+a3eH1NzK0LuaTYNjQopIYSQhlGniGL+fAA135naurF87XaDkcF/fr4JTVEF56PYRADUgTXFOFurcfEbsA9Nf3GSu05/qaysRFZWFiIjIyGTyYTujseh/Pih/PjxqvysFFFnmB4MDoBVTE3fpa6e0BODu0Y6lJ8rj+FUSJ3kroWUEEIE58IiapJ2Icviu9Pa3606ypXHcDq162WKi4uRkZGBmJgYKvBOoPz4ofz48Yr8GqCIApbfndb9bhUQLj+a/uJldDodjh8/Dp1OJ3RXPBLlxw/lx4/H59dARdTE9N3pE91bIK5tKKuIAsLlR4WUEEIIfw1cRN0ZFVJCCCH8NOEiClAhJYQQwkcTL6IAXWzkdRQKBXr06AGFQiF0VzwS5ccP5cePkPkZbNwkwSo3K6JC5UfTX5xE018IIY3NqWJnB6emlrhZEXUUTX8hVun1ehQUFCA4OBi+vr5Cd8fjUH78UH782MrP1fMoa2935pdnLe4apCmqwMwvz5pvdgD8VcgDVyxD50/fr1nRjYqoUPsffUfqZXJzc7F69Wrk5uYK3RWPRPnxQ/nxYy0/U7GreyN3U7FLu5Dl1M8zGBmk7L7Eees90zLTI8rSLmSh3/uH8dPUJHMRXTNoKtJGTHHqZzcEofY/KqSEEOLGHCl2jsq4mW/zKSumR5R9evh3zPzyLEalbWI9Cu39HqN5FXJvQYWUEELcmL3FLuNmvsPbzi6x71FlG47fxEyOh3LzLeTeggopIYS4MXuLnb3r1Vbz6LH6/evwZqsP5eZTyL0FFVIvJJFIhO6CR6P8+KH8+Kmbn73Fzt71aouJDkFkoBzWrvsVAXjll2+sFtHanCnkDUGI/Y+mvziJpr8QQhqDwcig3/uH630e58+vDXRqKoytR5TNSv8ar9pRRAHgq+l9bD5j1N248hhOI1JCCHFjErEIycM7A4DFyNH07+ThnZ0qogYjg0CFFFPj2yBYyZ4u8lrmdnMRXTNoKlZbKaIi1EzDiYkOcfjnewsqpF4mJycHn3/+OXJycoTuikei/Pih/Pixlt/grpFYPaEn1IHs07fqQDlrnqcjTNNZxq87iS+O30K+To8QZU1RPaZPx7P719esuHgx2nywCIDrC7mrCbX/0Q0ZvEx1dTU0Gg2qq6uF7opHovz4ofz4sZWfPc/jtJe1mzAU6KqgWL4Urf4ciZputjAYwOoJPS1uCKF2wQ0hXEmo/Y8KKSGEeAjT8zj5sDUvdWat70SNixZBXOuORa4s5N6GCikhhDQh1ualzqozT/SRcc8irs46rijk3oi+IyWEkCaEa5pK3SK6Km6s20xn8QRUSL1MUFAQnnzySQQFBQndFY9E+fFD+fHTGPnVnW/KVUS51vMEQu1/NI/USTSPlBDiiWrPS+W67R/feameguaREqtKS0uRnp6O0tJSobvikSg/fig/fhojP9O8VK6RqLtNZ3GUUPsfFVIvU1JSgv3796OkpETorngkyo8fyo+fxspv8HcbOO9YxGdeqjsQav+jq3YJIaQpefdd4I03ANRMcXlk3LPoSNNZeKFCSgghTUWtIorFiyGeP99iigtxHJ3aJYSQpqBOEUWtmy0QfqiQehmZTIYOHTpAJpMJ3RWPRPnxQ/nx02D5NZEiKtT+R9NfnETTXwghHqGJFFFH0fQXYpXBYIBOp4PBYBC6Kx6J8uOH8uPH5fk1sSIq1P5HhdTLZGdnY/ny5cjOzha6Kx6J8uOH8uPHpfk1sSIKCLf/USElhBBv0wSLqJCokBJCiDehItroqJASQoi3oCIqCCqkhBDiDaiICoamvzjJXae/GI1G6PV6+Pr6Qiymz0mOovz4ofz4cTo/KqIAHMvPlcdwukWglxGLxTQZngfKjx/Kjx+n8qMiaibU/kcfGb1MXl4evvzyS+Tl5QndFY9E+fFD+fHjcH5URFmE2v+okHqZqqoqXL9+HVVVVUJ3xSNRfvxQfvw4lB8VUQtC7X9USAkhxNNQEXUrVEgJIcSTUBF1O1RICSHEU1ARdUtUSL1MQEAAhgwZ4lZTcjwJ5ccP5cePzfyoiNZLqP2P5pE6yV3nkRJCvBAVUZejx6gRq8rLy/G///0P5eXlQnfFI1F+/FB+/HDmR0XUbkLtf1RIvUxhYSF27NiBwsJCobvikSg/fig/fizyoyLqEKH2PyqkhBDijqiIegzBC+lnn32GNm3aQC6XIzY2FhkZGTbX37ZtGzp16gS5XI5u3bph7969rHaGYfDWW28hMjISCoUCCQkJuHbtGmudq1ev4oknnkBYWBgCAgLQr18/HDlyxOXvjRBCnKFcuZKKqAcRtJBu3boVSUlJSE5OxtmzZ/Hwww8jMTHR6tPNT5w4gfHjx2PatGnIzMzEyJEjMXLkSFy4cMG8ztKlS7Fy5UqsWbMGp06dglKpRGJiIioqKszr/OMf/0B1dTUOHz6MM2fO4OGHH8Y//vEPaDSaBn/PhBBiS79jxxDw3ns1/6Ai6hkYAcXExDDPPfec+d8Gg4Fp3rw5s2TJEs71x44dywwbNoy1LDY2lnnmmWcYhmEYo9HIqNVqZtmyZeb2wsJCRiaTMV999RXDMAyTk5PDAGCOHTtmXqe4uJgBwBw4cMDuvhcVFTEAmKKiIrtf0xhycnKY//znP0xOTo7QXfFIlB8/lB8/pfPnMwxQ89/ixUJ3x+M4sv+58hgu2NNfqqqqcObMGbz++uvmZWKxGAkJCUhPT+d8TXp6OpKSkljLEhMTsXPnTgDAzZs3odFokJCQYG4PDAxEbGws0tPTMW7cOISGhqJjx47YtGkTevbsCZlMhs8//xzh4eHo1auX1f5WVlaisrLS/O/i4mIAgEajgU6nMy+Xy+UIDg5GdXU1cnJyLLYTGRkJAMjNzYVer2e1BQUFQaFQQKfTmbdvIpVKERoaCqPRCK1Wa7Hd8PBwSCQSiMViDB06FHq9HllZWQAAlUoFf39/lJeXW3wJ7+Pjg2bNmgGAef3awsLC4Ovri8LCQosr4ZRKJQICAlBZWYn8/HxWm1gsRkREBABAq9XCaDSy2kNCQiCTyVBcXMzKDwAUCgWCgoKg1+uRm5tr0SdThjk5Oaiurma1mTIsLS1FSUkJq00mkyEkJAQGg4HzrEdERATCwsIwcuRIVFVVsfIICAiAUqnkzNDX1xdhYWEAuDNs1qwZfHx8UFBQwDozAgD+/v5QqVScGUokEoSHhwPgzjA0NBRSqZQzQz8/PwQGBnJmKBKJoFarAXBnGBwcDLlczpmhaf+2lqFarca0adOQl5dnkUVgYCD8/PxQVlaGoqIiVptp/2YYhvPMkGn/5srQtH9XVFSgoKCA1VZ7/9ZoNGDqzPYz7d9FRUUoKytjtZn276qqKouboNfev7Ozs2EwGFjtpv27pKQEpaWlrDZrxwjlypWskWjujBnQ18nQFceI/Px81rEM8K5jxNChQ81/j/UdI1xFsEKam5sLg8FgDtIkIiICly9f5nyNRqPhXN/0h2f6X1vriEQiHDx4ECNHjoRKpYJYLEZ4eDjS0tIQHBxstb9LlixBSkqKxfINGzZALpeb/92tWzeMHj0axcXFWLt2rcX6ycnJAIBdu3bhjz/+YLWNGjUKDz30EC5evIh9+/ax2tq2bYsJEyZAr9dzbnfOnDlQKpX44YcfcPXqVVbboEGDEBcXhxs3buCbb75htanVajzzzDMAgC+++MLigDBz5kyEh4fj2LFjyMzMZLXFx8cjISEBWVlZ2LhxI6tNpVKZP/Rs3rzZ4oA8adIktGnTBhkZGTh+/DirrUePHhgxYgQKCgos3qtEIsGCBQsAANu3b7c46D755JPo0qULzp8/j/3797PaOnTogPHjx6OiooIzw3nz5kEmk2Hfvn24fv06q23IkCGIiYnBtWvXsGPHDlZby5YtMW3aNADg3O4LL7yAkJAQHDlyBOfPn2e19e/fHwMGDMDdu3exefNmVltwcDBefPFFAMCmTZssDvRTp05FVFQU0tPTcfLkSVZb7969MWzYMOTm5lr0SSqVmj/Abtu2zeID37hx49CxY0dkZmbi8OHDrLbOnTtjzJgx0Ol0nO/1jTfegI+PD3bv3o3bt2+z2oYPH46ePXvi8uXL2L17N6utdevWmDx5MgwGA+d2X375ZQQEBODgwYO4dOkSq23gwIF45JFHcPv2baSmprLamjVrhlmzZgGo+VutezPzGTNmIDIyEj///DNOnz7NauvTpw8SExOh1Wqxfv16Vpufnx9effVVAEBqaqpFAX/66afRrl07nDlzBkePHmW1cR0j+h07hsdNWf95OnfXF1/QMaIBjxF19yM+BLshw/3799GiRQucOHECcXFx5uVz587F0aNHcerUKYvXSKVSbNy4EePHjzcvW7VqFVJSUqDVanHixAnEx8fj/v375lELAIwdOxYikQhbt24FwzAYOXIk9Ho93njjDSgUCvznP//Bd999h19++YX1utq4RqRRUVG4cuUKVCqVebnQI9IrV64gNTUVo0ePNn8q86ZPm0DDjki1Wi3Wrl3Lyg+gEalJfSNShmGwbt06jB07FkFBQaw2GpHWqHuMqD0S1bzwAj4PDcWMGTPg6+vbIMcIbx6R5ubmYvv27eYPSLaOEaYa5NEP9g4LC4NEIrH4hWu1WvMfeV1qtdrm+qb/1Wq1rIKo1WrRvXt3AMDhw4fx/fffo6CgwBzeqlWrcODAAWzcuBHz5s3j/NkymYzzgbFqtZrzl+Dj42O1KANgHaTrUiqVUCqVnG1isdjmdk19CQsLs1hPoVBAoVBYfa2t7QYFBVkcGE1kMpnN19Y9Q1C3v9Z2Yl9fX5vbNf1xc/H394e/vz9nm0QisbldgDs/gF+Gts54eEuGpgNtUFCQ1Z/r5+cHPz8/zjaRSOR0hnK53OZrrR1XgJoiHxgYyNkmlUptbtf0YYeLSqVifdCuzcfHB5EbNgC1TucyU6YAf46wGuoYERISYrWtqR0jXEWwq3alUil69eqFQ4cOmZcZjUYcOnSINUKtLS4ujrU+ABw4cMC8fnR0NNRqNWud4uJinDp1yryO6VOnWMx+62Kx2OITESGENBiaJ+o1BBuRAkBSUhImTZqE3r17IyYmBitWrIBOp8OUKVMAABMnTkSLFi2wZMkSAMDs2bPRv39/fPDBBxg2bBhSU1Nx+vRp8zlykUiEl156CYsWLUL79u0RHR2NN998E82bN8fIkSMB1BTj4OBgTJo0CW+99RYUCgXWrVuHmzdvYtiwYYLkQAhpYqiIehVBC+lTTz2FnJwcvPXWW9BoNOjevTvS0tLMw/w7d+6wRo59+/bFli1bsGDBAsyfPx/t27fHzp070bVrV/M6c+fOhU6nw4wZM1BYWIh+/fohLS3NfEFQWFgY0tLS8MYbb2DgwIHQ6/Xo0qULdu3ahYcffrhxAyCEND1URL0OPf3FSe769Jfq6moUFxcjICAAPj6Cfk7ySJQfP5RfPeopopQfP47k58pjOP2mvIyPj4/NiwmIbZQfP5SfDXaMRCk/foTKT/B77RLXKigowPbt2y2mARD7UH78UH5W2Hk6l/LjR6j8qJB6mYqKCpw/f95irh2xD+XHD+XHwYHvRCk/foTKjwopIYQ0FLqwqEmgQkoIIQ2BimiTQYWUEEJcjYpok0KF1Mv4+/ujf//+Lr39VVNC+fFD+YFXEaX8+BEqP5pH6iR3nUdKCBEQjUQ9hiuP4TQi9TKVlZX4/fffLZ7uQOxD+fHTpPNzQRFt0vm5gFD5USH1Mvn5+di8ebPFI4uIfSg/fppsfi4aiTbZ/FxEqPyokBJCCB90OrfJo0JKCCHOoiJKQIWUEEKcQ0WU/IkKqZeRSCQIDg6GRCIRuiseifLjp8nk10BFtMnk10CEyo+mvziJpr8Q0kTRSNQr0PQXQggRAhVRwoEKqZfRarVYtmwZtFqt0F3xSJQfP16dXyMUUa/OrxEIlR8VUi9jNBpRVlYGo9EodFc8EuXHj9fm10gjUa/Nr5EIlZ9Po/40QghxEwYjg4yb+cguqUC4So6Y6BBIxCLLFel0LqkHFVJCSJOTdiELKbsvIavorwdARwbKkTy8MwZ3jfxrRSqixA50apcQ0qSkXcjCzC/PsoooAGiKKjDzy7NIu5BVs4CKKLETTX9xkrtOf6mqqoJWq0VERASkUqnQ3fE4lB8/7p6fwcig3/uHLYqoiQiAOlCO48aTEC9YULOwEYuou+fn7hzJz5XHcDq162WkUimioqKE7obHovz4cff8Mm7mWy2iAMAAGJW2CeJjm2oWNPJI1N3zc3dC5Uendr1McXExfvjhBxQXFwvdFY9E+fHj7vlll1gvogAwK/1rzBWoiALun5+7Eyo/KqReRqfT4eTJk9DpdEJ3xSNRfvy4e37hKrnVttpF9E7SG4J8J+ru+bk7ofKjQkoIaTJiokMQGShH3UkutYvomkFT0WLZO43fOeKxqJASQpoMiViE5OGdAcBcTGsX0WWPTkSbDxZxzyclxAoqpISQJmVw10isntAT6kC5xUi022fvseeREmIHumrXy/j5+aF3797w8/MTuiseifLjx1PyG9w1EoN2rTdfnXsn6Q1MX/aO4CNRT8nPXQmVH80jdZK7ziMlhNiBbrbQ5NFj1IhVer0eWVlZ0Ov1QnfFI1F+/LhTfgYjg/Tredh17h7Sr+fBYKwZMxgXLzYX0TtJb8Aw73Uhu8niTvl5IqHyo0LqZXJzc7F27Vrk5uYK3RWPRPnx4y75pV3IQr/3D2P8upOYnXoO49edRL/3D+PHSS+Z71i09NGJeNQ3Dv3eP/zXbQEF5i75eSqh8qNCSgjxKtbupTsqbRMGbPoYQE0RXRU3FgDHPXYJcRAVUkKI1zAYGaTsvoS6F37Uvjq3dhEFYF43Zfcl8+lfQhxBhZQQ4jW47qVrq4iaMACyiiqQcTO/MbpJvAxNf/EyIpEIUqkUIhFNKHcG5cePKT8jA6Rfz6v/odkuVvdeuvYUUVuvb2y0//EjVH40/cVJNP2FEG52PzS7AaRfz8P4dScBOF5EAeCr6X0Q1za0QftI3ANNfyGEuCW7H5rdQHq1DoYIzhVRsajm9YQ4igqpl8nJycGqVauQk5MjdFc8EuXnPIORwfLvTuMJ2QUEispZbY11Qc/qH69jphNFFACMDHDmdkGD9c0etP/xI1R+VEi9THV1NXJyclBdXS10VzwS5ee8jJv5KCgpR7C4Aj4wWrQ39AU9BiMD8ZJ3nSqiJkJ/R0r7Hz9C5UcXGxFCXMLeIuRIsTIYGWTczLfroqV7r76JFw7/F4BzRRSw/bxSQqyhQkoIcQl7i9A1bQnSr+fVeyUv10VL6gAZxse0QpswJcJVcvRqHYwztwsQuGIZOn/6PgDniqgIgDqwplAT4igqpIQQl4iJDkGYvwyo56zap0eu49Mj121eyWu6aKnut6ma4kp8dPCa+d9iEfDsCee+EzUxlfLk4Z0Ff/oL8Uw0/cVJ7jr9paKiArdv30br1q0hl9NpKkdRfvx8f/YWln5zHFqjPyrr+ZxuKlmrJ/RkFVODkUG/9w9bXPnLxZmrc+tqrKk59qD9jx9H8nPlMZwKqZPctZASIjSuU7LWmE6p/vzaQPNosPZcUFv4FtHnH2uL+HbNGu1mEcS90DxSYlVpaSl++uknlJaWCt0Vj0T58VNaWgplwe9Iey4GX03vg+cfa2dzfa4ree25GMkVI9H2ESrEtQ11qyJK+x8/QuVHhdTLlJSU4PDhwygpKRG6Kx6J8uPHlF+ZrhRxbUPRPsLfrtfVLp71XbTkiiIKoOb7XDdD+x8/QuVHhZQQ0mDsvZK39nox0SGIDJSDa5zoqiIKABZXMhHiJCqkhJAGY6soAjXfkUbWmXYiEYuQPLyzud3EpUUUQK6uktfrCTGhQkoIaTDWimLtf3NNOxncNRKrJ/SEOrBmpOrqIgrQzReI61Ah9TJyuRydO3emS+edRPnxw5Vf3aJoog6UW0x9qW1w10j8/NpAfHpzn8uLaN1RsLug/Y8fofKj6S9OoukvhDjGkdv9mb37LvDGGwBcV0RFsJy7SpoeVx7D6c5GXsZgMECn00GpVEIikQjdHY9D+fFjKz+JWOTYsz5rFdFPHp+MVb2fdKgvSpkEUokIBWV/3WrJnW6+wIX2P36Eyo9O7XqZ7OxsfPTRR8jOzha6Kx6J8uPHZfnVKqJYvBhtP1zs0MtFAD4Y8zBOLxiEr6b3wcfjuuOr6X3w82sD3baIArT/8SVUfjQiJYS4lzpFNG3EFLz93SW7X1531OnQKJgQJ1AhJYS4D44iynXzemveHPYgJsdHu9Xdioj3c+rUrlarxb///W80b94cPj4+kEgkrP8IIZ7LYGSQfj0Pu87dQ/r1PBiMjXQ9Yp0iapj3OlJ2X3LovgkhSikVUdLonBqRTp48GXfu3MGbb76JyMhIiES04xLiDbhuON8oF+jUKaKYPx8Z1/PsuvF9bfm6qgboHCG2OTX9RaVS4aeffkL37t0boEuewV2nvzAMA4PBAIlEQh9wnNCU87P2DFBrjzvjUl9+nFNg3ltiUUQBYNe5e5ides6h9/DRU90xqkcLh17jTpry/ucKjuQn+PSXqKgo0PRT9yQSieDjQ199O6up5mcwMlZPozKoKaYpuy/h753VNk+d2sqPa7Q7L3M7nt2/vuYffxZRg5HByRt5+PGy41deqgM8+0YGTXX/cxWh8nPqO9IVK1Zg3rx5uHXrlou7Q/jKy8vDf//7X+Tl5QndFY/UVPPLuJlv8zQq1+POuFjLzzTarf0zZqV/bS6iV1+cB8yfj7QLWei16ACe/s8p7Dh336H34K53K3JEU93/XEWo/Jwq3U899RTKysrQtm1b+Pn5wdfXl9Wen2/7j400nKqqKty+fRtVVfRdkTOaan72PAPUnvW48uMa7da+d+6yRydiuzoBb/4vC7O2nHW47yZc9+z1NE11/3MVofJzqpCuWLHCxd0ghAjJmced2avuaJfzBvRFFViw64LD2zZ56fH2bn2jBeLdnCqkkyZNcnU/CCECMj3uTFNUwfk9qQg1N5l35tRp7VGsrae4OHvFrVImwQuPt3fqtYS4gtPfyhoMBuzcuRO//fYbAKBLly4YMWIEzSMlxAOZHnc288uzEIH9zGtbjzuzh2kU2xCPQgMAXwnd6ZQIy6npL7///juGDh2Ke/fuoWPHjgCAK1euICoqCnv27EHbtm1d3lF3467TX8rKynD58mV06tQJfn5+QnfH4zT1/PjOI+XKz2BksG7I/zNfWOTKImry1fQ+XnErwKa+//HlSH6uPIY7VUiHDh0KhmGwefNmhITUnOrJy8vDhAkTIBaLsWfPHl6d8gTuWkgJ4cupx53ZUutmC8senYjPXFxEAeDjcd3xRHfPnT9KGp/g80iPHj2KkydPmosoAISGhuK9995DfHw8rw4RfugTLT+UnxOPO6vFIr9aRfTqi/PwbcTjQHGlK7sLwLmLoNwR7X/8CJWfU18uyGQylJSUWCwvLS2FVCrl3SnivKKiIuzevRtFRUVCd8UjUX78sPKrc9u/Dh8vwQdju7v054ngHfNHTWj/40eo/JwqpP/4xz8wY8YMnDp1CgzDgGEYnDx5Es8++yxGjBjh0LY+++wztGnTBnK5HLGxscjIyLC5/rZt29CpUyfI5XJ069YNe/fuZbUzDIO33noLkZGRUCgUSEhIwLVr1yy2s2fPHsTGxkKhUCA4OBgjR450qN+ENGX13dheuXIl523/ckvtG40+91hbPP9YOzz/WFvMfrw9RPjroicTvhdBEeIqTp3aXblyJSZNmoS4uDjzzRiqq6sxYsQIfPzxx3ZvZ+vWrUhKSsKaNWsQGxuLFStWIDExEVeuXEF4eLjF+idOnMD48eOxZMkS/OMf/8CWLVswcuRInD17Fl27dgUALF26FCtXrsTGjRsRHR2NN998E4mJibh06RLk8prTP99++y2mT5+Od999FwMHDkR1dTUuXHB+DhshTYmtC5IeDgX6HTuGgMOHaxpqFVHA/lOw/do1Y51efjBSZfEz1Y1xM31C7OBUIQ0KCsKuXbtw7do1XL58GQDw4IMPol27dg5t58MPP8T06dMxZcoUAMCaNWuwZ88erF+/HvPmzbNY/+OPP8bgwYPx6quvAgDeeecdHDhwAJ9++inWrFkDhmGwYsUKLFiwAE888QQAYNOmTYiIiMDOnTsxbtw4VFdXY/bs2Vi2bBmmTZtm3nbnzp2diYKQJsXaje01RRWY+eVZ7M7/AY9bKaKA8/NVB3eNxN87q117ERQhLsLr7r7t27dH+/bOTYSuqqrCmTNn8Prrr5uXicViJCQkID09nfM16enpSEpKYi1LTEzEzp07AQA3b96ERqNBQkKCuT0wMBCxsbFIT0/HuHHjcPbsWdy7dw9isRg9evSARqNB9+7dsWzZMvOolktlZSUqK/86LVVcXAwA0Gg00Ol05uVyuRzBwcGorq5GTk6OxXYiI2s+Pefm5kKv17PagoKCoFAooNPpzNs3kUqlCA0NhdFohFartdhueHg4JBIJysvLoVarUVhYaG5TqVTw9/dHeXk5azkA+Pj4oFmzZgCArKwsi+2GhYXB19cXhYWFKC8vZ7UplUoEBASgsrLS4raQYrEYERERAGqeX2s0GlntISEhkMlkKC4uZuUHAAqFAkFBQdDr9cjNzbXokynDnJwcVFdXs9pMGZaWllp8jy+TyRASEgKDwYDsbMsbokdEREAqlaJ58+YWOQUEBECpVHJm6Ovri7CwMADcGTZr1gw+Pj4oKChARQX7Fnv+/v5QqVScGUokEvOZGa4MQ0NDIZVKOTP08/NDYGAgZ4YikQhqtRoAd4bBwcGQy+UWGRqMDJZ+lwkGgBhGBIvY+8OUEzvQ9VgqACAvKQlVU6YAtfIIDAyEn58f5g96AAu/+YX1Wj0kKGHkABjM6ReObK2G1W7avzuFiNHGTwygyryOaf+uqKhAQUEB63W192+NRmPxsA3T/l1UVISysjJWm2n/rqqqsrh3a+39Ozs7GwaDgdVu2r9LSkpQWlrKarN1jCgsLETr1q0hlUob7BiRn5/POpYB3nOMKCwsRGRkpPlanfqOEa5idyFNSkrCO++8A6VSaVHM6vrwww/r3V5ubi4MBoM5SJOIiAjzKLcujUbDub5GozG3m5ZZW+fGjRsAgIULF+LDDz9EmzZt8MEHH2DAgAG4evUq60rk2pYsWYKUlBSL5Rs2bDCfMgaAbt26YfTo0SguLsbatWst1k9OTgYA7Nq1C3/88QerbdSoUXjooYdw8eJF7Nu3j9XWtm1bTJgwAXq9nnO7c+bMgVKpxKlTp6DRaPD111+b2wYNGoS4uDjcuHED33zzDet1arUazzzzDADgiy++sDggzJw5E+Hh4Th27BgyMzNZbfHx8UhISEBWVhY2btzIalOpVOb9ZPPmzRZFbdKkSWjTpg0yMjJw/PhxVluPHj0wYsQIFBQUWLxXiUSCBQsWAAC2b99u/r2aPPnkk+jSpQvOnz+P/fv3s9o6dOiA8ePHo6KigjPDefPmITQ0FAqFgpUfAAwZMgQxMTG4du0aduzYwWpr2bKl+ewG13ZfeOEFhISE4MiRIzh//jyrrX///hgwYADu3r2LzZs3s9qCg4Px4osvAqg5s1L3QD916lRERUUhPT0dJ0+eZLX17t0bw4YNQ25urkWfpFKp+QPstm3bLA7m48aNQ8eOHZGZmYnDptHln1oZgnEDbSFHNUbIfzMv73fsGB4/VrPunaQ3cLhbO9yu83M7xz4GqbotqnLusl4LAFkGf/yq6I43h3bELzu/wAX2j8XLL7+MgIAAHDx4EJcuXWK1DRw4EI888ghu376N1NRUVluzZs0wa9YsADV/q3XvwTpjxgxERkbi559/xunTp1ltffr0QWJiIrRaLdavX89q8/PzM58ZS01NtSjgTz/9NNq1a4czZ87g6NGjrDZ7jxFffPFFgxwjfvjhB1y9epXV5m3HiNDQmq8FbB0j6u5HfNg9j/Sxxx7Djh07EBQUhMcee8zmukeOHKl3e/fv30eLFi1w4sQJxMXFmZfPnTsXR48exalTpyxeI5VKsXHjRowfP968bNWqVUhJSYFWq8WJEycQHx+P+/fvm0ctADB27FiIRCJs3boVW7ZswdNPP43PP/8cM2bMAFAz2mzZsiUWLVpk3mHq4hqRRkVF4cqVK1CpVOblQo9I8/LyUFZWxnoen7d82jRpyBGpSCQyb7f28wxpRAr8eCUbi3+4jlJGxhqRTjmxA8//ORJd+ugEtP9wMR5p7Wfev0/8nou1x27gVgmDSvhCBj3aqET4f488gAC5D/LLqtAsUInHHm4LsQgWBz7gr/2bK0NvGpEyDMP6W6YRqWPHCIZhYDQa0aJFC9bfcm2mDE01qFHnkdYujvYUyvqEhYVBIpFY/MK1Wq35j7wutVptc33T/2q1WlYh1Wq15oeQm5bX/k5UJpPhgQcewJ07d6z2VyaTQSaTcfaJ65fg4+PD6kNdpgMvF6VSCaVSydkmFottbreqqgrr1683f9KuTaFQQKFQWH2tre0GBQUhKCiIs00mk9l8bd0zBLUFBARY3Yl9fX1tbtf0x83F398f/v7+nG0SicTqdrOysrB27VrO/AB+GQYHB1tt84QM25RJUcrUjJCMECOPUWJW+te1iuhEbO07DCO+34C//b/paNmiOdIuZGHOnjtgah1qKuGLqyXA3L13sHpCT4yPYffP2QzlcrnN11o7rgA1p50DAwM526RSqc3tcl0YaaJSqVgftGvjOkZkZWVh8eLFVvc/Ez7HCGtn3QDPP0ZkZWXhiy++MOdX3/7tKk5Nf5k6dSrnPFKdToepU6fatQ2pVIpevXrh0KFD5mVGoxGHDh1ijVBri4uLY60PAAcOHDCvHx0dDbVazVqnuLgYp06dMq/Tq1cvyGQyXLlyxbyOXq/HrVu30Lp1a7v6TkhTZLpQyDROt3Xv3Kn/zcBHB65g3rfnrT4sHKh5WHjdqTOEeBqnCunGjRsthvAAUF5ejk2bNtm9naSkJKxbtw4bN27Eb7/9hpkzZ0Kn05mv4p04cSLrYqTZs2cjLS0NH3zwAS5fvoyFCxfi9OnTeP755wHUnLJ66aWXsGjRInz33Xc4f/48Jk6ciObNm5vniQYEBODZZ59FcnIy9u/fjytXrmDmzJkAgDFjxjgTByFNgunG9gDwXD03oM8rrcLHh35HYbneYjsm9j4snBB359BVu8XFxeYbMJSUlLAusjEYDNi7d6/N0xx1PfXUU8jJycFbb71lvno2LS3NPMy/c+cOxOK/an3fvn2xZcsWLFiwAPPnz0f79u2xc+dO1tW2c+fOhU6nw4wZM1BYWIh+/fohLS2N1ddly5bBx8cH//73v1FeXo7Y2FgcPnzY5mkjQkjNNJQfyn9GBxc+xcXeh4oT4q4cKqRBQUEQiUQQiUTo0KGDRbtIJOK8stWW559/3jyirOvHH3+0WDZmzBibI0eRSIS3334bb7/9ttV1fH19sXz5cixfvtyhvhLS5L37LjqsfA8AcHr6K1gVYvvCQ3t4y31ySdPl0NNfjh49CoZhMHDgQHz77besL62lUilat26N5s2bN0hH3Y27Pv3FYDBAp9NBqVTSs2GdQPnZUOfeubuGTsLs1HOsVcQwQo5qVMAHxnq+OTLdfOHn1wbSjRX+RPsfP47kJ9jTX/r37w+g5sYHrVq1Yk0PIO5BIpG4VWH3NJSfFXWKKObPR/j1PIvVjBCjDPU/uILuk8uN9j9+hMrPqYuNDh8+bDFpF6iZ3F130i1pXAUFBdi2bZvFfDpiH8qPA0cRBSyv4gUAf1ElBkivw19k++b06kA5Vk/oSffJrYP2P36Eys+pQrpkyRLOeZDh4eF49913eXeKOK+iogKXLl2ymLRO7EP51WGliAI1V/G+Oawza3qLDNWIlhRABvYkeJMghS82/79Y/PzaQCqiHGj/40eo/Jy61+6dO3cQHR1tsbx169Y2b2pACPEgNoooUHMD+3f22HebNdOo9b1/dkN8O+s3IyHEEzk1Ig0PD8f//vc/i+W//vqr+R6HhBAPZkcRnfnlWdZjzWrzl7M/o9OpXOLNnBqRjh8/Hi+++CJUKhUeffRRADVX9M6ePRvjxo1zaQcJIY2sniJqMDJI2X2J845FJjIfMd4Y+iDuFpShdYgf/h3XBlIfpz63E+L2nCqk77zzDm7duoXHH38cPj41mzAajZg4cSJ9RyowlUqFgQMHWr2/J7GtyedXTxEFgIyb+VZHomWMFKf1LXC3HFi8968nvPzn55v0EG47NPn9jyeh8nNoHmldV69exa+//gqFQoFu3bo1qXvVuus8UtI0GIyM6x9ybUcRBYBd5+5ZzB+tj6lndHqXuAvB5pHW1aFDB847HBHhVFRU4Pbt22jdujXrtojEPp6QX9qFLKTsvsQaFUYGyvmN+OwsooDtOxFJUY0IcSm0Rn9U1Tq8MKgppim7L+HvndU0d9QKT9j/3JlQ+dn9pUVSUpL5mXBJSUk2/yPCKSgo4HzQMLGPu+dn7SIfTVEFZn55FmkXLJ8XWS8HiijAPX/URCWqRILsd6g45pHSTerr5+77n7sTKj+7R6SZmZnmh8zWfQp6bXS3I0Iahq2LfJwe8TlYRIG/ngIz88uzEAE2LzriQjepJ95GsAd7E0IcY+siH4A94otra8c0NCeKqMngrpFYPaGnxSlme9BN6om34fUdKSGk8dg7krNrPR5F1GRw10j8vbPafNFTmL8MKVt/hpWbGplvUh8THcK9AiEeyu5COnr0aLs3un37dqc6Q/jz8fFBs2bNzNOSiGPcOT97R3L1rueCImoiEYtYo99nH+uAYz9cgaHO5Rd0k3r7uPP+5wmEys/u6S9Tpkwx/3+GYbBjxw4EBgaid+/eAIAzZ86gsLAQo0ePxoYNGxqmt26Epr+QhmJtaovByKDf+4ehKarg/F7SrseSubCIWtMgVxUT4mKuPIY7NY/0tddeQ35+PtasWWN+5pvBYMCsWbMQEBCAZcuW8eqUJ6BCShpCfUXIdNUuwL7Ix655mo1QRE0aZJ4rIS7kymO4U/fsWr9+PebMmcN6cKpEIkFSUhLWr1/Pq0OEH41GgyVLlkCj0QjdFY8kZH72TG0xXeSjDmSfvq33XraNVERN+eVkaxHXNhRPdG+BuLahVETtRH+//AiVn1Mnkqurq3H58mV07NiRtfzy5cswGo0u6RhxDsMwqKqqAo8bVjVpQuXnyNSWuhf51Dvia8SRKO1//FB+/AiVn1OFdMqUKZg2bRquX7+OmJgYAMCpU6fw3nvvsb5LJYTYx9GpLXUv8rGqEYsoIU2VU4V0+fLlUKvV+OCDD5CVVXMnlcjISLz66qt45ZVXXNpBQpoCl05tMaEiSkijcKqQisVizJ07F3PnzkVxcTEA0AU3hPDgsqktJlRECWk0Tj/9pbq6Gj/++COuX7+Of/3rX1CpVLh//z4CAgLg7+/v6n66HXe9alev1yM3NxdhYWHw9fUVujseR6j8XDK1xUTAIkr7Hz+UHz+O5Cf49Jfbt29j8ODBuHPnDiorK3H16lU88MADmD17NiorK7FmzRpenfIE7lpIiftwdAoIr6ktJjQSJcQugk9/mT17Nnr37o2CggIoFArz8lGjRuHQoUO8OkT4KSoqwp49e1BUVCR0VzySq/JLu5CFfu8fxvh1JzE79RzGrzuJfu8ftvl0Fqentpi4QRGl/Y8fyo8fofJz6jvSn376CSdOnIBUKmUtb9OmDe7du+eSjhHnlJWV4fTp0+jZsycCAwOF7o7HcUV+ppFl3VM9pvmgpqLINWJ1eGqLiRsUUYD2P74oP36Eys+pQmo0GmEwGCyW//HHH1CpVLw7RYinsnc+qNHI4J09v1m9g5FdU1tM3KSIEtJUOXVqd9CgQVixYoX53yKRCKWlpUhOTsbQoUNd1TdCPI6980Fnbcl0zcO5qYgSIjinCuny5ctx/PhxdO7cGRUVFfjXv/5lPq37/vvvu7qPhHgMPg+tNo1iU3ZfgsFoxzWAVEQJcQtOndqNiorCr7/+iq1bt+LXX39FaWkppk2bhqeffpp18RFpfEqlEn369IFSqRS6Kx6Jb358H1pt98O53bSI0v7HD+XHj1D5OTz9Ra/Xo1OnTvj+++/x4IMPNlS/3B5NfyFc6psPaq+Px3XHE91bcDe6aRElxJMIOv3F19cXFRXOn74iDauqqgp3795FVVWV0F3xSHzzk4hFSB7eGcBf8z9NHHn+idWRrZsXUdr/+KH8+BEqP6e+I33uuefw/vvvo7q62tX9ITzl5eVh/fr1yMvLE7orHskV+dmaD7rqXz0RGSi3WlRFqLl6NyY6xLLRzYsoQPsfX5QfP0Ll59R3pL/88gsOHTqE/fv3o1u3bhbno7dv3+6SzhHiqWzNBxWLgZlfnoUI3HcwSh7e2XLeqAcUUUKaKqcKaVBQEP75z3+6ui+EeBVrjzozjVhTdl9iTYFR15pHykJFlBC35lAhNRqNWLZsGa5evYqqqioMHDgQCxcupCt1CXGQ3XcwoiJKiNtzqJAuXrwYCxcuREJCAhQKBVauXImcnBysX7++ofpHHCQWi+Hn5wex2Kmvv5u8xsyv3odze2ARpf2PH8qPH6Hyc2j6S/v27TFnzhw888wzAICDBw9i2LBhKC8vb3K/eJr+QhqUBxZRQjyJYNNf7ty5w7oFYEJCAkQiEe7fv8+rE4SQWqiIEuJRHCqk1dXVkMvZl/T7+vpCr9e7tFPEednZ2Vi5ciWys7OF7opHEjw/Dy+igufn4Sg/foTKz6HvSBmGweTJkyGTyczLKioq8Oyzz7KmwND0F+EYDAYUFBRwPp2H1E/Q/Dy8iAK0//FF+fEjVH4OFdJJkyZZLJswYYLLOkNIk+UFRZSQpsqhQrphw4aG6gchTRcVUUI8WtO61JYQd0NFlBCP5/DTX0gNd53+UllZibt37yIqKor1XTaxT6Pm54VFlPY/fig/fhzJz5XHcCqkTnLXQko8hBcWUUI8iaCPUSPuraSkBD/++CNKSkqE7opHapT8vLiI0v7HD+XHj1D5USH1MqWlpTh69ChKS0uF7opHavD8vLiIArT/8UX58SNUflRICWkEBiODO68sMBdR46JFXldECWmqqJAS0sDSLmRh3ZD/h1YfLgYALH10IuLFfZB2IUvgnhFCXIEKKSENKO1CFs4/Nw/P7q95QtLSRydiVdxYaIoqMPPLs1RMCfECVEi9jFwuR7du3SzuiUzs48r8DEYGt15ZgFePbQLwVxEFANOl8im7L8Fg9J4L52n/44fy40eo/Gj6i5No+gupz51XFrBO55qKaF1fTe9j+7mkhBCXo+kvxKrq6mrk5+ejurpa6K54JJfl9+67dhVRAMguqeD3s9wI7X/8UH78CJUfFVIvk5OTg08++QQ5OTlCd8Uj8cnPYGSQfj0Pl16YZ746t74iCgDhKu85jUf7Hz+UHz9C5efQTesJIZYMRgafHv4dG47fxL8Ob8bcP78TXf33qdjS7ymIyvTg+v5EBEAdKEdMdEij9pcQ4lpUSAnhIe1CFuZtP4/CMj1mpX9tLqJLH52I1T1Hgymreei9CGAVU9Gf/5s8vDMkYhEIIZ6LCikhTkq7kIVnvzwLABZF1HQ6VwQgyM8XMh8xNMWV5teqA+VIHt4Zg7tGNnq/CSGuRYWUECcYjAxSdl8CYL2IAjWj0IIyPTb/v1iIRSJkl1QgXFVzOpdGooR4B5r+4iSa/tK0pV/Pw/h1J20W0do+HtcdT3Rv0ZhdJITYQNNfCBFYdkmF3UUU8K4rcwkhbFRIvUxubi6++OIL5ObmCt0Vj2Rvfj3+b7XdRTSyCV2ZS/sfP5QfP0LlR4XUy+j1evzxxx/Q6/VCd8Uj2ZVfrZstLKuniIrQtK7Mpf2PH8qPH6Hyo4uNCHFEreeJXn1xHlYp+llMbTEJ9vPFktHd6MpcQrwcFVJC7FXnodwd5s/H6gtZSNl9CVlFf93mL0jhiynxbfD8wPZNZiRKSFNGhZQQe9QpoqaHcg/uGom/d1Yj42Y+TW0hpImi6S9OctfpL+Xl5bh27Rrat28PhUIhdHc8Dmd+VooosUT7Hz+UHz+O5OfKYzgVUie5ayElLkZFlBCvRPNIiVU6nQ4ZGRnQ6XRCd8UjsfKjIuow2v/4ofz4ESo/tyikn332Gdq0aQO5XI7Y2FhkZGTYXH/btm3o1KmT+Wnoe/fuZbUzDIO33noLkZGRUCgUSEhIwLVr1zi3VVlZie7du0MkEuHcuXOuekuCKS4uxr59+1BcXCx0VzySKT/DokVURJ1A+x8/lB8/QuUneCHdunUrkpKSkJycjLNnz+Lhhx9GYmIisrOzOdc/ceIExo8fj2nTpiEzMxMjR47EyJEjceHCBfM6S5cuxcqVK7FmzRqcOnUKSqUSiYmJqKiwfIDy3Llz0bx58wZ7f8Tz9Dt2DAHvvVfzDyqihJB6CH7V7ocffojp06djypQpAIA1a9Zgz549WL9+PebNm2ex/scff4zBgwfj1VdfBQC88847OHDgAD799FOsWbMGDMNgxYoVWLBgAZ544gkAwKZNmxAREYGdO3di3Lhx5m3t27cP+/fvx7fffot9+/bZ7GdlZSUqK/96eofpE49Go2GdRpDL5QgODkZ1dTXnw2UjI2vmFObm5lpMGg4KCoJCoYBOp7P4RCWVShEaGgqj0QitVmux3fDwcEgkEvPrat/ZQ6VSwd/fH+Xl5SgsLGS9zsfHB82aNQMAZGVlWWw3LCwMvr6+KCwsRHl5OatNqVQiICAAlZWVyM/PZ7WJxWJEREQAALRaLYxGI6s9JCQEMpkMxcXFFqdhFAoFgoKCoNfrOe9QYsowJycH1dXVrDZThqWlpSgpKWG1yWQyhISEwGAwcH5Qi4iIgHLlSjx++DAAoHjePOimTAGyshAQEAClUsmZoa+vL8LCwgBwZ9isWTP4+PigoKDA4sOcv78/VCoVZ4YSiQTh4eEAuDMMDQ2FVCrlzNDPzw+BgYGcGYpEIqjVagDcGQYHB0Mul3NmaNq/rWVouuSibkYAEBgYCD8/P5SVlaGoqIjVZtq/GYaBRqOxeK1p/+bK0LR/V1RUoKCggNVWe//WaDSoe0mIaf8uKipCWVkZq820f1dVVSEvL4/VVnv/zs7OhsFgYLWb9u+SkhKUlpay2mwdI2r/rhrqGJGfn886lgHec4you6/Xd4xwFUELaVVVFc6cOYPXX3/dvEwsFiMhIQHp6emcr0lPT0dSUhJrWWJiInbu3AkAuHnzJjQaDRISEsztgYGBiI2NRXp6urmQarVaTJ8+HTt37oSfn1+9fV2yZAlSUlIslm/YsAFy+V/3Ue3WrRtGjx6N4uJirF271mL95ORkAMCuXbvwxx9/sNpGjRqFhx56CBcvXrQo7G3btsWECROg1+s5tztnzhwolUqcOHECALB9+3Zz26BBgxAXF4cbN27gm2++Yb1OrVbjmWeeAQB88cUXFgeEmTNnIjw8HMeOHUNmZiarLT4+HgkJCcjKysLGjRtZbSqVyvx72rx5s8UBedKkSWjTpg0yMjJw/PhxVluPHj0wYsQIFBQUWLxXiUSCBQsWmN9j3YPuk08+iS5duuD8+fPYv38/q61Dhw4YP348KioqODN8QyQyj0QPDRyIn+Vy4M/1hgwZgpiYGFy7dg07duxgva5ly5aYNm0aAHBu94UXXkBISAiOHDmC8+fPs9r69++PAQMG4O7du9i8eTOrLTg4GC+++CKAmg+DdQ/0U6dORVRUFNLT03Hy5ElWW+/evTFs2DDk5uZa9EkqlZr/5rZt22ZxMB83bhw6duyIzMxMHP7zQ4VJ586dMWbMGOh0Os73asrhp59+sjjoDh8+HD179sTly5exe/duVlvr1q0xefJkGAwGzu2+/PLLCAgIwMGDB3Hp0iVW28CBA/HII4/g9u3bSE1NZbU1a9YMs2bNAlDzt1pVVcVqnzFjBiIjI/Hzzz/j9OnTrLY+ffogMTERWq0W69evZ7X5+fmZP8ynpqZaFPCnn34a7dq1w5kzZ3D06FFWW33HCJOGOkb88MMPuHr1KqvNm44Rtdk6RtTdj/gQ9Krd+/fvo0WLFjhx4gTi4uLMy+fOnYujR4/i1KlTFq+RSqXYuHEjxo8fb162atUqpKSkQKvV4sSJE4iPj8f9+/fNIxcAGDt2LEQiEbZu3QqGYTB06FDEx8djwYIFuHXrFqKjo5GZmYnu3btz9pVrRBoVFYUrV65ApVKZlws9Ir1x4waOHDmCvn37IigoCID3fNo0aYgRqXLlSnMRPT16NJSLFpnzA0Aj0j/VNyL19fVFWloa+vTpA6VSyWqjEWkNW8eIwsJCnDlzBkOGDAHDMDQidfAYUVhYiBMnTmDkyJEIDQ21eYww1R+XzLxgBHTv3j0GAHPixAnW8ldffZWJiYnhfI2vry+zZcsW1rLPPvuMCQ8PZxiGYY4fP84AYO7fv89aZ8yYMczYsWMZhmGYjz/+mImPj2eqq6sZhmGYmzdvMgCYzMxMu/teVFTEAGCKiorsfg1xU4sXMwxQ89/ixUL3hhDSCFx5DBf0YqOwsDBIJBKLT09ardb8ibkutVptc33T/9pa5/Dhw0hPT4dMJoOPjw/atWsHoOZ02KRJk/i/MQEZjUZUVlZafLojVtSZ4mKcN4/y44H2P34oP36Eyk/QQiqVStGrVy8cOnTIvMxoNOLQoUOsU721xcXFsdYHgAMHDpjXj46OhlqtZq1TXFyMU6dOmddZuXIlfv31V5w7dw7nzp0zT5/ZunUrFi9e7NL32Ni0Wi3ee+89zlM7pA6OeaKUHz+UHz+UHz9C5Sf4VbtJSUmYNGkSevfujZiYGKxYsQI6nc58Fe/EiRPRokULLFmyBAAwe/Zs9O/fHx988AGGDRuG1NRUnD592vyFs0gkwksvvYRFixahffv2iI6OxptvvonmzZtj5MiRAIBWrVqx+uDv7w+g5sv6li1bNtI7J4Kimy0QQlxE8EL61FNPIScnB2+99RY0Gg26d++OtLQ085fQd+7cgVj818C5b9++2LJlCxYsWID58+ejffv22LlzJ7p27WpeZ+7cudDpdJgxYwYKCwvRr18/pKWlsa6uJU0YFVFCiAsJXkgB4Pnnn8fzzz/P2fbjjz9aLBszZgzGjBljdXsikQhvv/023n77bbt+fps2bSyu5iNeioooIcTFBL+zESGNhoooIaQB0NNfnOSuT38xGAyoqKiAXC6HRCIRujvuw84iSvnxQ/nxQ/nx40h+rjyGu8WpXeI6EonEYiJ8k+fASJTy44fy44fy40eo/OjUrpfJz8/HV199ZXEXkSbLwdO5lB8/lB8/lB8/QuVHhdTLVFZW4urVqxa3AGuSnPhOlPLjh/Ljh/LjR6j8qJAS70QXFhFCGgkVUuJ9qIgSQhoRFVLiXaiIEkIaGRVSL6NSqTBo0CDWo92aDBcU0SadnwtQfvxQfvwIlR/NI3WSu84jbbJoJEoIcYArj+E0IvUy5eXluHjxosUDdr2aC4tok8zPhSg/fig/foTKjwqplyksLMQ333xj8ZR7r+XikWiTy8/FKD9+KD9+hMqPCinxXHQ6lxDiBqiQEs9ERZQQ4iaokBLPQ0WUEOJGqJB6GR8fH6jVavj4eOnzCBq4iHp9fg2M8uOH8uNHqPxo+ouTaPqLAGgkSghxEZr+QpoeKqKEEDdFhdTLZGVlYdGiRcjKyhK6K67TiEXUK/NrRJQfP5QfP0LlR4XUCxkMBqG74DoCjES9Kj8BUH78UH78CJEfFVLivuh0LiHEA1AhJe6JiighxEPQNdak0RmMDDJu5iO7pALhKjliokMgEYv+WoGKKCHEg9D0Fye56/QXvV6PgoICBAcHw9fXV+juWEi7kIWU3ZeQVVRhXhailGLRE10x9KFIwYuou+fn7ig/fig/fhzJz5XHcCqkTnLXQurO0i5kYeaXZ2Fth/tv1gEM2PRxzT9oJEoIaUA0j5RYVVhYiO+++87tnh5hMDJY+N0lq0V0VvrXblFE3TU/T0H58UP58SNUflRIvUx5eTkyMzPd7nmGnx6+Bk1xBWfbrPSvMffYppr1Hp8Mw7zXG7NrLO6an6eg/Pih/PgRKj+62Ii4XN2LiQp0Vfjo4DXOdWsX0aWPTsSq3k+i1818xLUNbcwuE0KI06iQEpfiuphIZGVdiyIaNxYArI5cCSHEHVEhJS5j7WIiru9FrRVRAMgvrWy4ThJCiIvRd6ReRqlUIj4+HkqlslF/rsHIIGW39YuJarNVRAEgSCHcZf9C5ectKD9+KD9+hMqPpr84iaa/sKVfz8P4dSfrXa++IgoAbw57ENMeecDlfSSEEBOa/kKsqqysxK1bt1BZ2XCnRw1GBunX87Dr3D2kX8+Dwcggu6T+7zXtKaIAEOIvc2l/HdEY+Xkzyo8fyo8fofKjQupl8vPzsXHjRuTn5zfI9tMuZKHf+4cxft1JzE49h/HrTuJviw/iv8dv2nydvUUUANQBcpf22RENnZ+3o/z4ofz4ESo/utiI2M3axUT5uirk66qsvs6RIhoZWHPvXUII8RQ0IiV2ceRiotocKaIAkDy8M/sG9oQQ4uaokBK7ZNzMZ80NtYcjRVQEYNW/emJw10g+3SSEkEZHhdTLiMViqFQqiMWu/dVqihy75ZajI9F/x7WqefqLwBoqv6aC8uOH8uNHqPxo+ouTmtr0ly9+uoF39vxm17qOFlEA+Gp6H7otICGk0dD0F9Lofv491671nCmidIERIcSTUSH1MlqtFh9++CG0Wi3vbZnmi35z+i6OXMmpd31niqgI7nWBkSvza4ooP34oP36Eyo+mv3gZo9GIkpISGI1GXtvhuvm8Lc6ORJOHd3arC4xclV9TRfnxQ/nxI1R+VEiJBWvzRa1xtIhO6NMKw7o1R0x0iNuMRAkhxFlUSAlLVbURr2z7tcGKKAAM69acLiwihHgN+o6UmKVdyELPdw5AV2mwa326sIgQQmj6i9PcdfpLZWUlsrKyEBkZCZnM9s3fDUYGGTfzkV1SgVu5ZVhx8GqDjkRFAFZPcO+bLjiSH7FE+fFD+fHjSH6uPIZTIXWSuxZSezl6MVFt3nJhESGk6aJ5pMSq4uJiHDx4EMXFxVbXMV1M1FhF9OWE9vj5tYEeUUTtyY9YR/nxQ/nxI1R+VEi9jE6nw/Hjx6HT6TjbDUYGC7+76PDN5wHniujgLmrMTujgMVfn1pcfsY3y44fy40eo/KiQNjGfHv4dmmLHH3rrTBEFALGIvjkghHg3KqRNSNqFLHx08KrDr3O2iAJA+o08GIxUTAkh3osKaRNhep6oo/gUUQAoKKtGxs3GfVo9IYQ0JiqkXkahUKBHjx5QKBSs5Q39PFFbskscv6hJKNbyI/ah/Pih/PgRKj+a/uIkT5v+8vbui1h//Jbd67uqiAL0iDRCiPuh6S/EKr1ej+zsbOj1evOytAtZghRRETzvTkZc+RH7UX78UH78CJUfFVIvk5ubi9WrVyM3t+b5oQYjg1e+/tXu17uyiALu9Yg0e9TNjziG8uOH8uNHqPyokHq5E7/nQlfVcPfOBQBfiQj+MvbzD9SBcre/HSAhhLgCPf3Fy3179g+71uMzEtUbGOgN1QhR+mJU9xZI6KymR6QRQpoMGpF6sbQLWfj+f/frXc9Vp3MLdHqsP34LReVVVEQJIU0GFVIvJJFIcOJ6LmZ+eRbV9Two3pVX55ou/07Zfcmjb8IgkUiE7oJHo/z4ofz4ESI/mv7iJHee/mIwMuj3/uF65426sojWRVNeCCHuzJXHcPqO1IuYni96/PdcQYso4Fk3YSCEED7o1K6XSLuQhX7vH8az/zmCOye+Q6Co3Oq6fIroS4+3t2u9cJXc7m26k5ycHHz++efIyckRuiseifLjh/LjR6j8qJB6gdrPF/WBEaHiMviA+8tRZ4tokJ8v1kzoiRceb4/IQDmsXUrkiTdhqK26uhoajQbV1dVCd8UjUX78UH78CJUfFVIPZ7oZvT1fdDtbRP1lEmTMT8DgrpGQiEVIHt4ZACyKqafehIEQQvigQurh7L0ZPZ/TuaWVBpy5XWD+9+CukVg9oSfUgezTt3QTBkJIU0QXG3k4TXHDFlGTuhcPDe4aib93ViPjZj6ySyoQrpLTTRgIIU0SFVIPlnYhC+98f5G1rISR4UjlAyhhZABcd3Uu18VDErHI66a4BAUF4cknn0RQUJDQXfFIlB8/lB8/QuVH80idJPQ8UtMFRrZ+ea4ooiLUnLL9+bWBNNokhHgNr3uM2meffYY2bdpALpcjNjYWGRkZNtfftm0bOnXqBLlcjm7dumHv3r2sdoZh8NZbbyEyMhIKhQIJCQm4du2auf3WrVuYNm0aoqOjoVAo0LZtWyQnJ6OqqqpB3p+r2brASA49uvhoMDv9K5cUUaBpXTxUWlqK9PR0lJaWCt0Vj0T58UP58SNUfoIX0q1btyIpKQnJyck4e/YsHn74YSQmJiI7O5tz/RMnTmD8+PGYNm0aMjMzMXLkSIwcORIXLlwwr7N06VKsXLkSa9aswalTp6BUKpGYmIiKiprv+S5fvgyj0YjPP/8cFy9exEcffYQ1a9Zg/vz5jfKenWUwMki/noePDly1eoGRUlSFpPQtePnYZgD8Tuc2xYuHSkpKsH//fpSUlAjdFY9E+fFD+fEjVH6Cf0f64YcfYvr06ZgyZQoAYM2aNdizZw/Wr1+PefPmWaz/8ccfY/DgwXj11VcBAO+88w4OHDiATz/9FGvWrAHDMFixYgUWLFiAJ554AgCwadMmREREYOfOnRg3bhwGDx6MwYMHm7f5wAMP4MqVK1i9ejWWL1/O2c/KykpUVlaa/11cXAwA0Gg00Ol05uVyuRzBwcGorq7mnBQcGVlTlHJzcy0ePhsUFASFQgGdTmfevkn6zSIsOnQXBbpKhIjKEFpngJjPKMBAjGfSv8HjRw8DAD59dBy29h0GOaNHBXwhRTVUokrW66ohRhGjAACEiMogAgOZjxhP92mF4Q+1QKQ6DABQWFiI8nL2TR6USiUCAgJQWVmJ/Px8VptYLEZERAQAQKvVwmhkz2sNCQmBTCZDcXExKz8AUCgUCAoKgl6v53yuoCnDnJwci/lipgxLS0st/phkMhlCQkJgMBg4P6iZ+gvA4ucGBARAqVSivLwchYWFrDZfX1+EhdXklJWVZbHdZs2awcfHBwUFBeYPcyb+/v5QqVScGUokEoSHhwPgzjA0NBRSqZQzQz8/PwQGBnJmKBKJoFarAXBnGBwcDLlczpmhaf+2lqHpm6K6GQFAYGAg/Pz8UFZWhqKiIlabVCpFaGgoGIaBRqOxeG14eDgkEglnhiqVCv7+/qioqEBBQQGrzcfHB82aNQNQ87da95ussLAw+Pr6oqioCGVlZaw20/5dVVWFvLw8Vlvt/Ts7OxsGA/tRhab9u6SkxGJ0ZOsYUft35egxwpSh0WiEVqtFXaYM8/PzWccy4K8Mufbv2hly7d+mDN3hGFF3X6/vGOEqghbSqqoqnDlzBq+//rp5mVgsRkJCAtLT0zlfk56ejqSkJNayxMRE7Ny5EwBw8+ZNaDQaJCQkmNsDAwMRGxuL9PR0jBs3jnO7RUVFCAmxfhOBJUuWICUlxWL5hg0bIJf/dSFOt27dMHr0aBQXF2Pt2rUW6ycnJwMAdu3ahT/+YD/ibNSoUXjooYdw8eJF7Nu3j9V2zxCA/KoO8IURI+S/WWx3S/nDmJb+DWYc2wYAODRwIPIe7YQR+A0Z+pa4WK1Gc3ExHpPdYL0uz+iH7ypr5oX+Q/YbJKKaA03u6YvYcBro9vcnMbpvFxw7dgyZmZms18bHxyMhIQFZWVnYuHEjq02lUpl/T5s3b7Y4IE+aNAlt2rRBRkYGjh8/zmrr0aMHRowYgYKCAosMJRIJFixYAADYvn27xUH3ySefRJcuXXD+/Hns37+f1dahQweMHz8eFRUVnL+b2h/ctm/fzmobMmQIYmJicO3aNezYsYPV1rJlS0ybNg0AOLf7wgsvICQkBEeOHMH58+dZbf3798eAAQNw9+5dbN68mdUWHByMF198EUDNh8G6B/qpU6ciKioK6enpOHnyJKutd+/eGDZsGHJzcy36JJVKzX9z27ZtsziYjxs3Dh07dkRmZiYOHz7MauvcuTPGjBkDnU7H+V5NOfz0008WB93hw4ejZ8+euHz5Mnbv3s1qa926NSZPngyDwcC53ZdffhkBAQE4ePAgLl26xGobOHAgHnnkEdy+fRupqamstmbNmmHWrFkAav5W6359M2PGDERGRuLnn3/G6dOnWW19+vRBYmIitFot1q9fz2rz8/Mzf5hPTU21KOBPP/002rVrhzNnzuDo0aOstvqOESaOHiPatm2LCRMmQK/Xc253zpw5UCqV+OGHH3D16lVW26BBgxAXF4cbN27gm2++YbWp1Wo888wzAIAvvvjC4kPDzJkzER4e7jbHiNpsHSPq7kd8CHqx0f3799GiRQucOHECcXFx5uVz587F0aNHcerUKYvXSKVSbNy4EePHjzcvW7VqFVJSUqDVanHixAnEx8fj/v375pELAIwdOxYikQhbt2612Obvv/+OXr16Yfny5Zg+fTpnX7lGpFFRUbhy5QpUKpV5uatHpD9fy8F7+y5DDwmKGTlEYBAiKrPY7rgTu/HqsS8B1BTRxbETzSNNHSN1aERaWxGjwKcTeqNPS4XgnzbrZtgQI1KtVou1a9di9OjR5lEmQCNSE3tGpOvWrcPYsWMtrpykEWmN+kak27dvx4wZM+Dr60sjUidGpKb8IiMjbR4jTPWHblrvAvfu3cPgwYMxZswYq0UUqDkIy2Qyi+VqtZrzl+Dj48Mq5HXVPkjXpVQqoVQqYTAyWPKf88hnlOY2BiLk1fo3UHN1rqmIfvzoePwvPgY5en+UMOwpK1XwQR7D/pV3jwrENW0pdFUG5DN+Fn0RoeaxaD+/NtDqJeUymczme619yrSugIAAqzuxr6+vze2a/ri5+Pv7w9/fn7NNIpFY3a5MJkOHDh3QokULzjMUCoUCCoXC6s+11d/g4GCrbd6SYX5+Pjp06ICIiAirZ3j8/Pzg52e5rwE1Rd7ZDOVyuc3Xmj48cAkMDERgYCBnm1Qqtbld04cdLiqVivVBuzauY4Rp/zN96LPGdIzgIhaLbfbX1nb57N9BQUGCHyNq5wfUv3+7iqCFNCwsDBKJxOLTk1artbrTq9Vqm+ub/ler1bIC1mq16N69O+t19+/fx2OPPYa+ffvaPD0glJPX85Cv09tch3OKS52Lj5VSCXx9xCgs+2tboUop3nmiK4KVUoxfxz4tWBsDIKuoAhk3871uziiXkJAQ1tkO4hjKjx/Kjx+h8hP0ql2pVIpevXrh0KFD5mVGoxGHDh1ineqtLS4ujrU+ABw4cMC8fnR0NNRqNWud4uJinDp1irXNe/fuYcCAAejVqxc2bNgAsVjwC5hZ0i5k4bktZ22uw1VERTBCBj1Ef9603l/mg8y3BuHMgr/jq+l98PG47vhqeh9kvJGAoQ9F2v24s6byWDSDwQCdTmdxqo7Yh/Ljh/LjR6j8BK8eSUlJWLduHTZu3IjffvsNM2fOhE6nM1/FO3HiRNbFSLNnz0ZaWho++OADXL58GQsXLsTp06fx/PPPA6g5NfTSSy9h0aJF+O6773D+/HlMnDgRzZs3x8iRIwH8VURbtWqF5cuXIycnBxqNhvO7GSGYbrZQWG59NGrtZgshonL8S/ErQv58jFppZTXO3C4w34Xoie4tENc21Dwv1N7HnXnqY9EclZ2djeXLl1udfkVso/z4ofz4ESo/wb8jfeqpp5CTk4O33noLGo0G3bt3R1pamvmc+Z07d1ijxb59+2LLli1YsGAB5s+fj/bt22Pnzp3o2rWreZ25c+dCp9NhxowZKCwsRL9+/ZCWlma+uvbAgQP4/fff8fvvv6Nly5as/jTWtVemh3DXvU+tPU9zcfSORbZGkzHRIYgMlENTVMH5M013NvLUx6IRQkhDE7yQAsDzzz9vHlHW9eOPP1osGzNmDMaMGWN1eyKRCG+//TbefvttzvbJkydj8uTJznTVJdIuZCFl9yXWTRUiA+VIHt4ZgQqpzae5OHPbP1ujSdNj0WZ+eRYigFVMm+KdjQghxFGCn9ptamo/hLs2TVEFZn55FgcuWT+97GgRtfch2/RYNEIIcZ5bjEibClunbRnUFL6vT//B0er8DejtHU3SY9EIIcQ59PQXJznz5ID063k2p5pYY08RFYkAhgFEYOADI8IC/JA8oguNJh1kNBqh1+vh6+vrdldyewLKjx/Kjx9H8nPl019oRNqInJlCUl8RVcokWPN0L8Q+EIoztwtoNMmTWCzmvPEGsQ/lxw/lx49Q+dFHnkbk6BQSW0VU9Od/H4x5GI90aAapjxhxbUPRL0qO6+n7UFiQz71RYlNeXh6+/PJLi1vCEftQfvxQfvwIlR8V0kZkmmpizzixvpGotQuBqqqqcP36dY95tqq7ofz4ofz4ofz4ESo/OrXbiGxNNanNVhF9/rF2iG8XRqduCSHETdCItJFZm2oSGShHkJ8vnrNSRE1TWV7+ewfWnYkIIYQIi0akArA21eT6y/PRwUoRBejGCIQQ4o6okArEdO9bs3ffRYeV7wEA1gyailU9Rpub1H/e9cieqSwBAQEYMmQI78u5myrKjx/Kjx/Kjx+h8qN5pE5y5RwkvPsu8MYbNf9/8WIY5r1ON0YghJAG5MpjOH1HKrQ6RRTz51t9Uos9ysvL8b///c/iSfXEPpQfP5QfP5QfP0LlR4VUSBxFlK/CwkLs2LEDhYWFvLfVFFF+/FB+/FB+/AiVHxVSobz3nsuLKCGEkMZHhVQoDzwASCRURAkhxMPRVbtCGTsWeOghoFMnoXtCCCGEBxqRCqkBiqivry9atmwJX19fl2+7KaD8+KH8+KH8+BEqP5r+4iSXTn8hhBDSqGj6CyGEEOImqJB6maysLKSkpCArK0vorngkyo8fyo8fyo8fofKjQkoIIYTwQIWUEEII4YEKKSGEEMIDFVJCCCGEB5r+4iR3nf5SXV2N4uJiBAQEwMeH7rfhKMqPH8qPH8qPH0fyc+UxnH5TXsbHxwchISFCd8NjUX78UH78UH78CJUfndr1MgUFBdi+fTsKCgqE7opHovz4ofz4ofz4ESo/KqRepqKiAufPn0dFRYXQXfFIlB8/lB8/lB8/QuVHhZQQQgjhgQopIYQQwgNdbOQk08XOxcXFAveEraSkBBUVFSgpKYFSqRS6Ox6H8uOH8uOH8uPHkfxMx25XTFyh6S9O+uOPPxAVFSV0NwghhPBw9+5dtGzZktc2qJA6yWg04v79+1CpVBCJREJ3x6y4uBhRUVG4e/euW81v9RSUHz+UHz+UHz+O5McwDEpKStC8eXOIxfy+5aRTu04Si8W8P8U0pICAAPpD5IHy44fy44fy48fe/AIDA13y8+hiI0IIIYQHKqSEEEIID1RIvYxMJkNycjJkMpnQXfFIlB8/lB8/lB8/QuVHFxsRQgghPNCIlBBCCOGBCikhhBDCAxVSQgghhAcqpIQQQggPVEjdzGeffYY2bdpALpcjNjYWGRkZNtfftm0bOnXqBLlcjm7dumHv3r2sdoZh8NZbbyEyMhIKhQIJCQm4du2auf3WrVuYNm0aoqOjoVAo0LZtWyQnJ6OqqqpB3l9Da+z8aqusrET37t0hEolw7tw5V72lRiVUfnv27EFsbCwUCgWCg4MxcuRIV76tRiNEflevXsUTTzyBsLAwBAQEoF+/fjhy5IjL31tjcHV+27dvx6BBgxAaGmr177KiogLPPfccQkND4e/vj3/+85/QarWOdZwhbiM1NZWRSqXM+vXrmYsXLzLTp09ngoKCGK1Wy7n+8ePHGYlEwixdupS5dOkSs2DBAsbX15c5f/68eZ333nuPCQwMZHbu3Mn8+uuvzIgRI5jo6GimvLycYRiG2bdvHzN58mTmhx9+YK5fv87s2rWLCQ8PZ1555ZVGec+uJER+tb344ovMkCFDGABMZmZmQ73NBiNUft988w0THBzMrF69mrly5Qpz8eJFZuvWrQ3+fl1NqPzat2/PDB06lPn111+Zq1evMrNmzWL8/PyYrKysBn/PrtQQ+W3atIlJSUlh1q1bZ/Xv8tlnn2WioqKYQ4cOMadPn2b69OnD9O3b16G+UyF1IzExMcxzzz1n/rfBYGCaN2/OLFmyhHP9sWPHMsOGDWMti42NZZ555hmGYRjGaDQyarWaWbZsmbm9sLCQkclkzFdffWW1H0uXLmWio6P5vBVBCJnf3r17mU6dOjEXL1702EIqRH56vZ5p0aIF85///MfVb6fRCZFfTk4OA4A5duyYeZ3i4mIGAHPgwAGXvbfG4Or8art58ybn32VhYSHj6+vLbNu2zbzst99+YwAw6enpdvedTu26iaqqKpw5cwYJCQnmZWKxGAkJCUhPT+d8TXp6Omt9AEhMTDSvf/PmTWg0GtY6gYGBiI2NtbpNACgqKkJISAift9PohMxPq9Vi+vTp+L//+z/4+fm58m01GqHyO3v2LO7duwexWIwePXogMjISQ4YMwYULF1z9FhuUUPmFhoaiY8eO2LRpE3Q6Haqrq/H5558jPDwcvXr1cvXbbDANkZ89zpw5A71ez9pOp06d0KpVK4e2Q4XUTeTm5sJgMCAiIoK1PCIiAhqNhvM1Go3G5vqm/3Vkm7///js++eQTPPPMM069D6EIlR/DMJg8eTKeffZZ9O7d2yXvRQhC5Xfjxg0AwMKFC7FgwQJ8//33CA4OxoABA5Cfn8//jTUSofITiUQ4ePAgMjMzoVKpIJfL8eGHHyItLQ3BwcEueW+NoSHys4dGo4FUKkVQUBCv7VAhJWb37t3D4MGDMWbMGEyfPl3o7niETz75BCUlJXj99deF7opHMhqNAIA33ngD//znP9GrVy9s2LABIpEI27ZtE7h37o9hGDz33HMIDw/HTz/9hIyMDIwcORLDhw9HVlaW0N1rMqiQuomwsDBIJBKLq8W0Wi3UajXna9Rqtc31Tf9rzzbv37+Pxx57DH379sXatWt5vRchCJXf4cOHkZ6eDplMBh8fH7Rr1w4A0Lt3b0yaNIn/G2skQuUXGRkJAOjcubO5XSaT4YEHHsCdO3d4vKPGJeT+9/333yM1NRXx8fHo2bMnVq1aBYVCgY0bN7rkvTWGhsjPHmq1GlVVVSgsLOS1HSqkbkIqlaJXr144dOiQeZnRaMShQ4cQFxfH+Zq4uDjW+gBw4MAB8/rR0dFQq9WsdYqLi3Hq1CnWNu/du4cBAwaYRwN8H3IrBKHyW7lyJX799VecO3cO586dM19+v3XrVixevNil77EhCZVfr169IJPJcOXKFfM6er0et27dQuvWrV32/hqaUPmVlZUBgMXfrFgsNo/2PUFD5GePXr16wdfXl7WdK1eu4M6dOw5th67adSOpqamMTCZj/vvf/zKXLl1iZsyYwQQFBTEajYZhGIb597//zcybN8+8/vHjxxkfHx9m+fLlzG+//cYkJydzXj4fFBTE7Nq1i/nf//7HPPHEE6zL5//44w+mXbt2zOOPP8788ccfTFZWlvk/TyNEfnVZuzrQEwiV3+zZs5kWLVowP/zwA3P58mVm2rRpTHh4OJOfn994b94FhMgvJyeHCQ0NZUaPHs2cO3eOuXLlCjNnzhzG19eXOXfuXOMGwFND5JeXl8dkZmYye/bsYQAwqampTGZmJuv49uyzzzKtWrViDh8+zJw+fZqJi4tj4uLiHOo7FVI388knnzCtWrVipFIpExMTw5w8edLc1r9/f2bSpEms9b/++mumQ4cOjFQqZbp06cLs2bOH1W40Gpk333yTiYiIYGQyGfP4448zV65cMbdv2LCBAcD5nydq7Pzq8uRCyjDC5FdVVcW88sorTHh4OKNSqZiEhATmwoULDfYeG5IQ+f3yyy/MoEGDmJCQEEalUjF9+vRh9u7d22DvsSG5Oj9rx7fk5GTzOuXl5cysWbOY4OBgxs/Pjxk1apTDAwl6jBohhBDCg+d9GUYIIYS4ESqkhBBCCA9USAkhhBAeqJASQgghPFAhJYQQQnigQkoIIYTwQIWUEEII4YEKKSGEEMIDFVJCSL0WLlyI7t27C90NAMCAAQPw0ksvCd0NQsyokBLSiDQaDWbPno127dpBLpcjIiIC8fHxWL16tfkG5J5m4cKFEIlENv9zxo8//giRSGTxZA5C3I2P0B0gpKm4ceMG4uPjERQUhHfffRfdunWDTCbD+fPnsXbtWrRo0QIjRozgfK1er4evr28j99g+c+bMwbPPPmv+99/+9jfMmDHD6jNtq6qqIJVKG6t7hDQ4GpES0khmzZoFHx8fnD59GmPHjsWDDz6IBx54AE888QT27NmD4cOHm9cViURYvXo1RowYAaVSaX4k2+rVq9G2bVtIpVJ07NgR//d//2d+za1btyASiXDu3DnzssLCQohEIvz4448A/hrlHTp0CL1794afnx/69u3LeowZALz33nuIiIiASqXCtGnTUFFRYfV9+fv7Q61Wm/+TSCRQqVTmf48bNw7PP/88XnrpJYSFhSExMbHevt66dQuPPfYYACA4OBgikQiTJ082r2s0GjF37lyEhIRArVZj4cKFDv42CHEdKqSENIK8vDzs378fzz33HJRKJec6dU+BLly4EKNGjcL58+cxdepU7NixA7Nnz8Yrr7yCCxcu4JlnnsGUKVNw5MgRh/vzxhtv4IMPPsDp06fh4+ODqVOnmtu+/vprLFy4EO+++y5Onz6NyMhIrFq1yuGfUdvGjRshlUpx/PhxrFmzpt71o6Ki8O233wKoeT5kVlYWPv74Y9b2lEolTp06haVLl+Ltt9/GgQMHePWREKc5+JQbQogTTp48yQBgtm/fzloeGhrKKJVKRqlUMnPnzjUvB8C89NJLrHX79u3LTJ8+nbVszJgxzNChQxmG4X6EW0FBAQOAOXLkCMMwDHPkyBEGAHPw4EHzOqZnNZqecRkXF8fMmjWL9XNiY2OZhx9+2K732rp1a+ajjz4y/7t///5Mjx49WOs40teCggLWa/v378/069ePtexvf/sb89prr9nVP0JcjUakhAgoIyMD586dQ5cuXVBZWclq6927N+vfv/32G+Lj41nL4uPj8dtvvzn8cx966CHz/4+MjAQAZGdnm39ObGwsa/24uDiHf0ZtvXr14vX6umr3H6h5D6b+E9LY6GIjQhpBu3btIBKJLL6LfOCBBwAACoXC4jXWTgFbIxbXfC5maj1iWK/Xc65b+8Il0yllo9Ho0M9zRN334khfudS98EokEjVo/wmxhUakhDSC0NBQ/P3vf8enn34KnU7n1DYefPBBHD9+nLXs+PHj6Ny5MwCgWbNmAICsrCxze+2LeRz5OadOnWItO3nypMPbscWevpqu7DUYDC792YS4Go1ICWkkq1atQnx8PHr37o2FCxfioYceglgsxi+//ILLly/Xe/rz1VdfxdixY9GjRw8kJCRg9+7d2L59Ow4ePAigZlTbp08fvPfee4iOjkZ2djYWLFjgcD9nz56NyZMno3fv3oiPj8fmzZtx8eJF8+jZFezpa+vWrSESifD9999j6NChUCgU8Pf3d1kfCHEVGpES0kjatm2LzMxMJCQk4PXXX8fDDz+M3r1745NPPsGcOXPwzjvv2Hz9yJEj8fHHH2P58uXo0qULPv/8c2zYsAEDBgwwr7N+/XpUV1ejV69eeOmll7Bo0SKH+/nUU0/hzTffxNy5c9GrVy/cvn0bM2fOdHg79amvry1atEBKSgrmzZuHiIgIPP/88y7vAyGuIGJqf0lBCCGEEIfQiJQQQgjhgQopIYQQwgMVUkIIIYQHKqSEEEIID1RICSGEEB6okBJCCCE8UCElhBBCeKBCSgghhPBAhZQQQgjhgQopIYQQwgMVUkIIIYSH/w8LJs35lihfZwAAAABJRU5ErkJggg==",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step \n",
            "************ 3 ************\n",
            "Mean Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "4.84 5.51 3.16 2.93\n",
            "Max Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "30.31 47.61 29.01 24.77\n"
          ]
        },
        {
          "data": {
            "image/png": 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OzvZ0VZxCCTqUoAGUoUMJGkAZOlyi4X8bXlQXLjQ58jNK8KcHbufdMb1YPaU/e18a4hLj545nIdYAncRoNFJaWorRaPR0VZxCCTqUoAGUoUMJGkAZOpzW4MBuz6hgfx7s1daxz7OBO56FGAEKBAKBwDr1jB8dO3Lq0y+8crenLcQIUCAQCG4CDEaJ/efzySmtIia4bkdmoxkaGhg/du2iV9sE4vfmmuN/NsQVuz1bEmEABQKB4CZg8oofOF16o8uPD9Uyd4SNINVWjB+JiWiAuSO6Mu2Tw6hAZgRNpnTuiK6tMvWRNYQbhJPo9XoyMzOJj4/H39/fBTX0DErQoQQNoAwdStAAytCx6UgGr637jlxjILVozMdtuifYMH712XI8k/kbT8oS4jZqUF1A/Weh1+td0o8LAygQCAQKxZSyyFbmdtOU5e4X7uFQRiElZy8waOqv0V65ZNP41b93+sUC+6dUXYjwA2wllJSUsG3bNkpKSjxdFadQgg4laABl6FCCBvB+HekXCyguLuFOn6voqLYoNwWp7r9gGzP/upHbxo5Ee+USVyPi2fXhWpvGD+rSIaUkRfJgr7akJEW63fi541kIA+gk5eXl7Nu3j/Lyck9XxSmUoEMJGkAZOpSgAbxfR05pFQGqGnr4ZhGgqrF5nn/mdVk+v1+PfoNJ27KdzuHnStzxLIQBFAgEAoVijzuCtUzu1//n6uBsDr/WjjCAAoFAoFCSO0QQpLW92d+a8TP5+bXWHH6uRBhAgUAgUCjfnMyirKrWalljxq8+rS2HnysRBtBJAgIC6N27NwEBAZ6uilMoQYcSNIAydChBA3i3DoNRYv7Gk1Thw5naKKrquX3ba/yg9UR1ccezEG4QAoFAoED2n89n7EcHLI7ba/xMLhJ7XxrS6hzbFeMG8d5779G+fXu0Wi39+vUjPT3d5rk1NTW8+uqrJCUlodVq6dmzJ1u2bGnB2lqvU05ODjU1tndYeQNK0KEEDaAMHUrQAN6twzR1qcFImKoSDcZmjfygdUV1ccez8KgBXLt2LTNnzmTu3LkcPnyYnj17MnToUHJycqyeP2fOHD788EP+8Y9/cPLkSZ5++mkefvhhjhw50sI1v0FeXh4ffPABeXl5HquDK1CCDiVoAGXoUIIG8G4dpqnLMFUlD2tP0KX0it3GLzLQr9Xl8HPHs/CoAVy4cCFTpkxh0qRJdO3alcWLF6PT6Vi2bJnV8//973/zxz/+keHDh9OxY0emTZvG8OHD+etf/9rCNRcIBILWTXKHCOJD64xgSHExSz591S7jFxHoy/6Xf9WqjJ+78JgBrK6u5tChQ6Smpt6ojFpNamoq+/fvt3qNXq9Hq5UvyAYEBLB371631lUgEAi8DY1axdwRXYktyWPCihUkFGU3ueanAt54uDt+Ph5fHWsRPJYNIi8vD4PBQGxsrOx4bGwsp06dsnrN0KFDWbhwIb/85S9JSkpi+/btpKWlYTAYbH6OXq9Hr9eb/zaF0cnKypJFFNBqtYSHh1NbW0tubq7FfeLj4831rj8HXX84Xl5ebhGmx8/Pj8jISIxGo9VMxjExMWg0GgoKCmT1BAgODiYoKIjKykqKiopkZT4+PkRH173EmZmW0RqioqLw9fWlqKiIyspKWVlgYCAhISHo9XoKCgpkOgoKCsxas7OzLZJPRkRE4O/vT0lJiUVEhoCAAMLCwqipqbE6TWG6b25uLrW18q3ZYWFhBAQEUFZWRmlpqazM39+fiIgIDAaD1enx2NhY1Go1xcXFMi0AISEhBAYGWm1DX19foqKiAOttGB0djY+PD4WFhVRVybeCBwUFERwcLGtDExqNhpiYGMB6G0ZGRuLn52e1DXU6nfn/DdtQpVIRFxcHWG/D8PBwtFqt1TY0vd+22jAuLg6VSkV+fj7V1fKQWaGhoeh0OioqKsxtbML0fkuSRFZWlkXdTd9Na21oer+rqqooLCyUldV/v7Oysmi4V8/0fhcXF1NRUSErM73f1dXV5Ofny8rUarW5z8nJybHoO0zvd2lpKWVlZWYdeXl5DvcRcOP9buk+4v7QWu7+fAFBhYVcD4tm2mN/ojpER3utnhICKKg0EqjSo6WWqCB/pv6yIz0j6/rJhn2EtTZsyT7CpL2iosLi/XYUr0qH9O677zJlyhRuu+02VCoVSUlJTJo0yeaUKcCCBQuYP3++xfHly5fLRpPdu3dn1KhRlJSUsGTJEovz586dC8CGDRu4evWqrEylqlskPnHiBJs3b5aVJSUlMX78eGpqaqze9/nnnycwMJCtW7dy5swZWdl9991HSkoKFy5cYP369bKyuLg4nnrqKQCWLl1q8UWeNm0aMTEx7Nmzx2KNdMCAAaSmppKZmcnKlStlZZs3b+aOO+4AYNWqVRYv2oQJE2jfvj3p6ens27dPVta7d29GjhxJYWGhhVaNRsOcOXMASEtLk3WWAI888gh33HEHx44d4+uvv5aVde7cmbFjx1JVVWW1DWfNmoW/v7+5PmlpaeayYcOGkZyczNmzZ/nss89k1yUkJDB58mQAq/f97W9/S0REBDt37uTYsWOyskGDBjF48GCuXLnCqlWrZGXh4eE8++yzAHz88ccWHfSTTz5JYmIi+/fv58AB+S69vn370qdPH9RqtUwH1HWUL7/8MgDr1q2z6ITHjBlDly5dOHLkCDt27JCVde3alUcffZTy8nKrWmfPno2Pjw8bN24kIyNDVjZixAj69OnDqVOn2Lhxo6ysXbt2TJw4EYPBYPW+ph9f27Zt4+TJk7KyIUOGMHDgQDIyMlizZo2sLDo6munTpwN139WGRnnq1KnEx8ezd+9eDh48KCvr378/Q4cOJTs726Jv0Ol0vPDCCwCsWbPGwvCOGzeOTp06cejQIXbv3m0+npaW5lQf8fDDD9OjR48W7SOS/PwY/69/EXT9KgXh4aydOJ5+oblA3Xvz1FNPc7Hch4N7vqbg8hmoheM7jnJ8R+N9RHBwMDNnzgRato9ITU1Fo9Fw7tw5du3aZdFOjuAxN4jq6mp0Oh3r16/noYceMh+fMGECRUVFbNiwwea1VVVV5Ofn06ZNG2bNmsWXX37JiRMnrJ5rbQSYmJjI6dOnCQ4ONh/3xl93rhwBmvDUrztXjACtjV68cQQYGhpqtQ29aQRowvR+e+sIsD7e1Eeor10j6pFH0GRkQMeOZK9di7FtW9m13txHXL9+nS5dunh3OqR+/fqRnJzMP/7xDwCMRiO33HILM2bMYNasWU1eX1NTw+23386vf/1r3njjDbs+U/gBCgQCRWNHPj9vRxF+gDNnzuSjjz5i5cqV/Pzzz0ybNo3y8nImTZoEwBNPPGGe8gH4/vvvSUtL48KFC3z77bfcf//9GI1GXnzxRU9JIDc3lw8//NDqL0JvQgk6lKABlKFDCRrAC3VYMX65Wq13abCBO56FR9cAR48eTW5uLq+88gpZWVn06tWLLVu2mIfXly9fRq2+YaOrqqqYM2cOFy5cICgoiOHDh/Pvf/+bsLAwDymA2tpasrKyLIbr3oYSdChBAyhDhxI0gJfpsDHyq83M9B4NjVD/Wfj7+7vknh7fBDNjxgxmzJhhtazhQuegQYMsFtIFAoHgZqDRDOw3wbSnO/C4ARQIBAJB42w5nsn8jSfJLL6xkSg+VMvcEV25P7RWGD8HuTm8HQUCgcBL2XI8k2mfHJYZP6jL1ffq+1upuGugMH4OIrJBOEllZSUXLlygY8eOXpkyxYQSdChBAyhDhxI0gOd1GIwSd7+1w8L4gTyrg9SxIyobxs/TGlxFfR01NTUu6ceFARQIBIJWir0pjfK+2MqdA3t4oIaeQRFuEEqgrKyM/fv3WzjNehtK0KEEDaAMHUrQAJ7XkVVcaXHMWkqjy4ERNu/haQ2uwh06hAF0ktLSUr7++muXxabzFErQoQQNoAwdStAAntdRUC6PymMrn1/D8+rjaQ2uwh06hAEUCASCVkpE0A1/t8aS2dY/T2A/wgAKBAJBKyUupC5gf1OZ3E3nCZqHMIACgUDQSknuEEFPqaRR4xcfWucUL2g+whHeSfz9/encubPLQvN4CiXoUIIGUIYOJWgAz+vQXLvK6k9fRmfF+P0vBgxzR3S9ERHGCp7W4CrcoUO4QQgEAkFrpF54s4qEdowZu4Cf1Df6LHMkmG7xnqujhxBuEK0Eg8FAeXl5o1npvQEl6FCCBlCGDiVoAA/qaBDbM335enLComWn2Dt2Ec/CNsIAOklOTg7vvPOO1SSj3oQSdChBAyhDhxI0gId0NDB+uz5cy6Rt2WSVyJPhZpfomfbJYbYct0zmXB/xLGwjDKBAIBC0FhoYP8OOnbz8QzHWxnqmY/M3nsRgvKlWslyGMIACgUDQGrCS0ii9NtBqHFATEnVBsdMvFrRYNZWEMIACgUDgaWzk88sptW386mPveQI5wgAKBAKBJ2kkmW1MsH0O7vaeJ5Aj3CCcxGg0UlNTg6+vL2q19/6eUIIOJWgAZehQggZoAR1NZHI3pUPKKq6yug6oAuJCtex9aYhNX0AlPouysjLhBtEaUKvV+Pv7e/WLBcrQoQQNoAwdStAAbtbRhPED0KhVzB3RFbjh+G7CXkd48SwauafL7nSTkp+fzyeffEJ+fr6nq+IUStChBA2gDB1K0ABu1GGH8TNxf7d4Phjfh7hQ+TRnXKiWD8b3adIRXjwL24hQaE5SXV3N+fPnqa62nY7EG1CCDiVoAGXoUIIGcJOOZhg/E/d3i+fernGkXywgp7SKmOC6+J+NjfxMKPFZ+Pr6uuSewgAKBAJBS+GA8TOhUatISYp0a/VuNsQUqEAgELQEThg/gXsQBlAgEAjcjTB+rRJhAJ0kJCSEYcOGeX1mCSXoUIIGUIYOJWgAF+nwsPETz8I2wg9QIBAI3IUY+bkFkQ6plVBZWclPP/1EZWWlp6viFErQoQQNoAwdStAATupoJcZPPAvbCAPoJEVFRXz22WcUFRV5uipOoQQdStAAytChBA3ghI5WYvxAPIvGEAZQIBAIXEkrMn6CxhEGUCAQCFyFMH5ehTCAAoFA4AqE8fM6hAF0El9fXxISElwWmsdTKEGHEjSAMnQoQQM0Q0crNn433bNoBsINQiAQCJyhFRs/pSLcIAQCgcDTCOPn1QgD6CSZmZnMnz+fzMxMT1fFKZSgQwkaQBk6lKABmtDhJcbvpngWDiIMoEAgEDQXLzF+gsYRBlAgEAiagzB+ikEYQIFAILAXYfwUhUiIKxAIBA0wGCXSLxZw6UqO+W9h/JSHx90g3nvvPd5++22ysrLo2bMn//jHP0hOTrZ5/qJFi/jggw+4fPkyUVFRPPLIIyxYsACtVmvX57naDaK2tpaSkhJCQkLw8fHe3xNK0KEEDaAMHd6sYcvxTOZvPElmcRUajOhU1XQyVLFq9Wx0VzO8zvh587OoT30dFRUVLunHPdoaa9euZebMmSxevJh+/fqxaNEihg4dyunTp4mJibE4/9NPP2XWrFksW7aMu+66izNnzjBx4kRUKhULFy70gALw8fEhIiLCI5/tSpSgQwkaQBk6vFXDluOZTPvkMKZRgQE1QcWlLFr9MrqiLCoS2qHzIuMH3vssGuIOHR5dA1y4cCFTpkxh0qRJdO3alcWLF6PT6Vi2bJnV87/77jsGDBjAY489Rvv27bnvvvsYO3Ys6enpLVzzGxQWFpKWlkZhYaHH6uAKlKBDCRpAGTq8UYPBKDF/40nqT4l1Kr3G56ufp11RFhlhcYx9bAGGtgkeq6MjeOOzsIY7dHhsBFhdXc2hQ4d4+eWXzcfUajWpqans37/f6jV33XUXn3zyCenp6SQnJ3PhwgW++uorHn/8cZufo9fr0ev15r9LSkoAyMrKory83Hxcq9USHh5ObW0tubm5FveJj48HIC8vj5qaGvPxvLw8jh07RkpKCuXl5eb7m/Dz8yMyMhKj0Uh2drbFfWNiYtBoNBQUFMjqCRAcHExQUBCVlZUWKUB8fHyIjo4GsOoXExUVha+vL0VFRRb5swIDAwkJCUGv11NQUCDT0aVLF8LDwwHIzs7GaDTKro2IiMDf35+SkhJZ+wEEBAQQFhZGTU0NeXl5FnUytWFubi61tbWysrCwMAICAigrK6O0tFRW5u/vT0REBAaDgZycHIv7xsbGolaryc7O5tixY9x6661UVVUBdVmkAwMDrbahr68vUVFRNtswOjoaHx8fCgsLzfczERQURHBwsKwNTWg0GvMMhrU2jIyMxM/Pz2ob6nQ6qqqqLHQAqFQq4uLibLZheHg4Wq3Wahua3m9bbRgXF4dKpSI/P5/q6mpZWWhoKDqdjoqKCoqLi2VlpvdbkiSysrLMx03vU3JyMuHh4Vbb0PR+V1VVWXRq9d/vrKwsGq7UmN7v4uJiKioqZGWm97u6upr8/HxZmVqtJjY2FoCcnBwMBoO57KcrReQVlwMaAqimQ2km//p0HrFF+VwPi2byY/M5pwph/7kckoLlzxRs9xFw4/32RB9h631qbh9hrQ1bso/Q6/UcO3aMnj17yp6bM3jMAObl5WEwGMwNaSI2NpZTp05Zveaxxx4jLy+Pu+++G0mSqK2t5emnn+aPf/yjzc9ZsGAB8+fPtzi+fPly2bph9+7dGTVqFCUlJSxZssTi/Llz5wKwYcMGrl69avWzTpw4webNm2XHkpKSGD9+PDU1NVbv+/zzzxMYGMjWrVs5c+aMrOy+++4jJSWFCxcusH79ellZXFwcTz31FABLly61eCGmTZtGTEwMe/bs4ciRI7KyAQMGkJqaSmZmJitXrpSVbd68mTvuuAOAVatWWXSkEyZMoH379qSnp7Nv3z5ZWe/evRk5ciSFhYUWWjUaDXPmzAEgLS1N1lkCPPLII9xxxx0cO3aMr7/+WlbWuXNnxo4dS1VVldU2nDVrFv7+/ub6pKWlmcuGDRtGcnIyZ8+e5bPPPpNdl5CQwOTJkwGs3ve3v/0tERER7Ny5k2PHjsnKBg0axODBg7ly5QqrVq2SlYWHh/Pss88C8PHHH1t00E8++SSJiYns37+fAwcOyMr69u1Lnz59LHRAXUdp+sG4bt06ix9qY8aMoUuXLhw5coQdO3bIyrp27cqjjz5KeXm5Va2zZ8/Gx8eHjRs3kpGRISsbMWIEffr04dSpU2zcuFFW1q5dOyZOnIjBYLB6X1PHum3bNk6ePCkrGzJkCAMHDiQjI4M1a9bIyqKjo5k+fTpQ911taJSnTp1KfHw8e/fu5eDBg7Ky/v37M3ToULKzsy1mk3Q6HS+88AIAa9assTC80epbuW4MZUDFaf6y+i9EFBVSEB7O2onjaROo51wNXM/JZ/vqdRZaG+sjHn74YXr06OGxPgIs3ydH+4jg4GBmzpwJtGwfkZqaCsC5c+fYtWsXrsBjm2CuX79O27Zt+e6770hJSTEff/HFF9m9ezfff/+9xTW7du1izJgxvPbaa/Tr149z587x3HPPMWXKFP70pz9Z/RxrI8DExEROnz5NcHCw+bgzI8C0tDSmTp1KSEiIV48A09LSzIYIvG8EeOrUKdauXcuoUaPMIztvHAFWVFSwZMkSmQ7wvhFgWloakydPJiEhwWtGgDPSzhJVUsDa1bO4pSib62HRrJ00no3anuRIwZRJ/nzyZF+vGgFmZmZafZ+8cQS4cuVKxo8fj8FgoEuXLt67CSYqKgqNRmPxwLOzs81f8ob86U9/4vHHH+c3v/kNUDdqKy8vZ+rUqcyePRu12nJJ09/fH39/f4vjcXFxVhvOx8fH/BBs1dsWgYGBBAYGWi1Tq9WN3rexxd2AgAACAgJsljd237CwMMLCwqyW+fv7W1xbvx4NR+f1CQkJsfni+fr6NlonU8dmjaCgIIKCgqyWaTSaRu8bGhoK1D2jhuc504amKWFrWGvD+jjShqYO3ZoOE+5qw8jISJtlOp0OnU5ntUylUlm9r0ajARpvQ61W22idbPUHUPfMTc+9IX5+fo3et+FGu5jYOLr+9yh/X/0ytxRlkxEWx7TH/kS/0FyKqwIol/yJD9WS0ikGjVpl876tsY8w1cva/ZvbR9SnJfsI049UnU5nsw2bi8c2wfj5+XHnnXeyfft28zGj0cj27dtlI8L6VFRUWBg50xfMU94cQUFBDBo0yGaH4y0oQYcSNIAydHijBs21q6z+9GXzhpcxYxdwMTieIzXxVEp1KXjmjujaqPFrjXjjs7CGO3R41A9w7dq1TJgwgQ8//JDk5GQWLVrEf/7zH06dOkVsbCxPPPEEbdu2ZcGCBQDMmzePhQsXsmTJEvMU6LRp07jzzjtZu3atXZ8p0iEJBAIL6jm5VyS0Y+xjC/hRdaN/iA/VMndEV+7vZnvUImg5XNWPe9QPcPTo0eTm5vLKK6+QlZVFr1692LJli3lYffnyZdmIb86cOahUKubMmcO1a9eIjo5mxIgRvP76656SgF6v58qVKyQmJlqdavUWlKBDCRpAGTq8SkODCC+6XbtIa5tA+sUCMgtK8K0q5Fd9u6ILsC/YRmvDq55FI9TX4So8Hgt0xowZZGRkoNfr+f777+nXr5+5bNeuXaxYscL8t4+PD3PnzuXcuXNUVlZy+fJl3nvvPZvz1y1BQUEBq1atslgo9jaUoEMJGkAZOrxGg43wZhq1ipSkSFIStBzesZHiIu/1ofOaZ9EE7tDhvXFxBAKBoBmY4nvmlFYRE6wl2acczZB7RGzPmxhhAAUCgeKpH98TIL4kl3Vr/0hCQaYwfjcxwgAKBAJF0zC+Z3xJLmtWv0zC/3Z7XvxwLYOF8bsp8fgaoLej0WgIDw83u2N4K0rQoQQNoAwdrUVDw/ieJuNnju05dgEv/1Bcl+7ICq1FhzMoQQO4R4fH0yG1NMINQiC4edh/Pp+xH9WFm2to/MaMXUBmSJ3D9eop/UlJsh0EQNC6cFU/LkaAAoFAseSU3ljzs2X86p8nuLkQBtBJsrOzefvtt63G8PMmlKBDCRpAGTpai4aYYG2Txs90njVaiw5nUIIGcI8OsQnGSYxGIxUVFRYBYb0NJehQggZQho7WoiHZp7xut6cN46cC4kK1JHewHmeztehwBiVoAPfoECNAgUCgTK5cQTPkHhIKMs0bXhoaP/DO+J4C1yAMoEAgUB4NIrxcXLcRqYGrQ1yolg/G9xHxPW9ixBSoQCBQFlbCmw1OTGTvkAaRYDpEiJHfTY5wg3CS6upqsrOziY2Nxc/PzwU19AxK0KEEDaAMHR7TYCO2p6OIZ9F6qK+jqqrKJf24MIACgUAZuNj4CVovwg+wlVBSUsLWrVspKSnxdFWcQgk6lKABlKGjxTW4yfiJZ9F6cIcOYQCdpLy8nAMHDlBeXu7pqjiFEnQoQQMoQ0eLanDjyE88i9aDO3QIAygQCLwXMe0pcAJhAAUCgXcijJ/ASYQBFAgE3ocwfgIXIAygk+h0Ovr27YtOp/N0VZxCCTqUoAGUocOtGlrQ+Iln0Xpwhw7hBiEQCLwHMfITINwgWg01NTVkZmZSU1Pj6ao4hRJ0KEEDKEOHKzUYjBL7z+ezdcsPVA34ZYsaP/EsWg/u0CEMoJPk5eWxZMkS8vLyPF0Vp1CCDiVoAGXocJWGLcczufutHcz860ZuGzsS7ZVLXI2IZ9eHa1tk5CeeRevBHTpELFCBQNAqMBjlsToLy/U88+kR4hrk8xs7+g0yt2XzQVymCGQtcAphAAUCgcfZcjyT+RtPkll8IzO7WoWF8TPl81MB8zee5N6ucSKgtcBhxBSoQCDwKFuOZzLtk8My4wcQW2w7k7sEZBZXkX6xwAM1FigFYQCdRKVS4efnh0rl3b9ClaBDCRpAGTrs1WAwSszfeJKGW9HjbYz8GpJTWmVxzJXcTM+iteMOHcINQiAQeIz95/MZ+9EB2TF7jR/A6in9SUmKbImqCloRrurHxRqgQCDwGA1HcPYaPxV1Gd2TO0S0UE0FSkRMgTpJbm4u77//Prm5uZ6uilMoQYcSNIAydNirISZYa/5/c4wfwNwRXd2+AeZmehatHXfoEAbQSWpra8nNzaW2ttbTVXEKJehQggZQhg57NSR3iCA+VEubRoxfQxsXF6rlg/F9WsQF4mZ6Fq0dd+gQU6ACgaBFaOjnl9whAo1axYJfhNLhL+OtujoA/HNsH8ID/SyuEwicRRhAgUDgdqz5+cWHalnwi1AGPzUairK4GhHPmNFvmEd+caFa5o7oKpzdBW5DGECBQOBWTH5+Dbebq65cocNfxkNRFnTsSPyOnSysDRQjPUGLIdwgnKSqqoqMjAzatWuHVqtt+oJWihJ0KEEDKEOHSUNC4i2kvvudhZN7/Q0vVyPiiT98AE27WzxUW9so6Vl4swaQ66iurnZJPy4MoEAgcBv2+vkt/MMI4c8nsBuRDqmVUFZWxrfffktZWZmnq+IUStChBA2gDB0mDddy5aHKbLk6uDuii6Mo6Vl4swZwjw5hAJ2ktLSUHTt2UFpa6umqOIUSdChBAyhDh0lDsPrGlvXG/Pzq+wO2JpT0LLxZA7hHh9gEIxAI3MYdbUOJD9WiunKF1TayOoiILgJP0SpGgO+99x7t27dHq9XSr18/0tPTbZ47ePBgVCqVxb8HHnigBWssEAjsweTnZ8v4QctEdBEIrOFxA7h27VpmzpzJ3LlzOXz4MD179mTo0KHk5ORYPT8tLY3MzEzzv+PHj6PRaHj00UdbuOYCgaAp1NeuMfip0ebdnvWnPVsyootAYA2PT4EuXLiQKVOmMGnSJAAWL17Mpk2bWLZsGbNmzbI4PyJCPlWyZs0adDqdxwygVqula9euXr29GJShQwkaQBk6tFotd8bEEPXoo3Dpktf6+SnlWXi7BnCPDo+6QVRXV6PT6Vi/fj0PPfSQ+fiECRMoKipiw4YNTd6je/fupKSksGTJErs+U7hBCAQtwJUrMHgwXLgAHTvCrl2QmOjpWgkUgiLSIeXl5WEwGIiNjZUdj42N5dSpU01en56ezvHjx1m6dKnNc/R6PXq93vx3SUkJAFlZWZSXl5uPa7VawsPDzQFXGxIfH2+uc01Njfm4wWDAz8+PyMhIqqqqzPc3YSozGo1kZ2db3DcmJgaNRkNBQYGsngDBwcEEBQVRWVlJUVGRrMzHx4fo6LqppMzMTIv7RkVF4evrS1FREZWVlbKywMBAQkJC0Ov1FBQUmHVUVlYSFBRk1pqdnY3RaJRdGxERgb+/PyUlJbL2AwgICCAsLIyamhry8vIs6mS6r7WAtmFhYQQEBFBWVmaxy8vf35+IiAgMBoPVqfHY2FjUajW5ubkUFRUREBCARqMBICQkhMDAQKtt6OvrS1RUlM02jI6OxsfHh8LCQqqq5Nv0g4KCCA4OlrWhCY1GQ0xMDGC9DSMjI/Hz87PahjqdjqCgIPNzM+mAuoSgcXFxNtswPDwcrVZrtQ1N77etNoyLi0OlUpGfn091dbWsLDQ0FJ1OR0VFBcXFxUBdXM8T14opqpZIiItBMkpcuX6dCJ0fPVRlRD/yCD6XLyN16IBq1y4Kg4KoatDGpve7qqqKwsJCWVn99zsrK4uGv9NN73dxcTEVFRWyMtP7XV1dTX5+vqxMrVab+5ucnBwMBoOs3PR+l5aWUlZWZv5eBAQEEBgY6FAfATfe7/Ly8hbvIwwGAxcvXkSr1crep+b2EdbasCX7iODgYIxGI5IkWW0nR/D4FKgzLF26lO7du5OcnGzznAULFjB//nyL48uXL5cNpbt3786oUaMoKSmxOpqcO3cuABs2bODq1asW5VOnTuXKlSts3rxZdjwpKYnx48dTU1Nj9b7PP/88gYGBbN26lTNnzsjK7rvvPlJSUrhw4QLr16+XlcXFxfHUU08Bde3Q8Is8bdo0YmJi2LNnD0eOHJGVDRgwgNTUVDIzM1m5cqWsLDAwkOeffx6AVatWWXSkEyZMoH379qSnp7Nv3z5ZWe/evRk5ciSFhYUWWjUaDXPmzAHq1nGzsrJk5Y888gh33HEHx44d4+uvv5aVde7cmbFjx1JVVWW1DWfNmoW/vz9ffPGFxbMZNmwYycnJnD17ls8++0xWlpCQwOTJkwGs3ve3v/0tERER7Ny5k2PHjsnKBg0axODBg7ly5QqrVq2SlYWHh/Pss88C8PHHH1t00E8++SSJiYns37+fAwfkTuJ9+/alT58+Vuvj5+fHyy+/DMC6dessOuExY8bQpUsXjhw5wo4dO2RlXbt25dFHH6W8vNzqvWfPno2Pjw8bN24kIyNDVjZixAj69OnDqVOn2Lhxo6ws0xDElurbUGNkQsBhQoqL+cWKFfgUFlIQHk7xihV0SExk27p1nDx5UnbtkCFDGDhwIBkZGaxZs0ZWFh0dzfTp04G672pDozx16lTi4+PZu3cvBw8elJX179+foUOHkp2dzbJly2RlOp2OF154AahbPmloeMeNG0enTp04dOgQu3fvlpU500c8/PDD9OjRgxMnTrR4H5GTk2PxjoLjfURwcDAzZ84EWraPSE1NZdu2bfTv359du3ZZ6HEEr50CLS8vp02bNrz66qs899xzNs+zNgJMTEzk9OnTBAcHm487OgLMy8sjLS2NqVOnEhIS4rUjQJMOkyEC7xsBnjp1irVr1zJq1CjzyM4bR4AVFRUsWbJEpgM8PwIsLStnybbjfPr9DQNZg4YSSQtIdC29zJJPXyWhKJvrYdGsnTSeR2fOJCEhwWobesMI0PS9GDVqFAkJCV45AszMzLT6PnnbCFCv17Ny5UrGjx+PwWCgS5cu3j0F6ufnx5133sn27dvNBtBoNLJ9+3ZmzJjR6LXr1q1Dr9czfvz4Rs/z9/fH39/f4nhcXJzVhvPx8TE/BGvUf4EaEhgYSGBgoNUytVrd6H0bbu6pT0BAAAEBATbLG7tvWFgYYWFhVsv8/f0trq1fj4ZT0/UJCQmx+eL5+vo2WidTx2aNoKAggoKCrJZpNJpG7xsaGgrUPaOG5znThuHh4TbLrLVhfRxpQ1OHbk2HCXe1YWSk9XBkW45nMu+LE2SV6AHLdzy+JI8PVv+ZhKJsMsLimPbYn+gXmguquo3mjbWhVqtttE4mo2+N0NBQ83NviJ+fX6P3Nf1IsUZwcLDsB3JUVJRZgzf2EaZ6Wbt/c/uI+rRkH2H6karT6Wy2YXNxyA0iOzubxx9/nDZt2uDj44NGo5H9aw4zZ87ko48+YuXKlfz8889MmzaN8vJy867QJ554wjztU5+lS5fy0EMP2fzCCgQC12DK5lBn/CyxFuElO6TOCJy4VtySVRUImoVDI8CJEydy+fJl/vSnPxEfH49K5fhW5tGjR5Obm8srr7xCVlYWvXr1YsuWLeZfFpcvX0atltvp06dPs3fvXou1IoFA4FoMRon5G09apDIyYSu8WSR1U18FFdU2rhQIPI9Da4DBwcF8++239OrVyw1Vci+udoOQJAmDwYBGo3Hqh4CnUYIOJWiA1qXDWjYHE43F9gQJNRKf/CaFuzrZnhJs7bSmZ+EoStAAch2lpaWec4NITEy0WJS+WVGpVPj4ePVmWkAZOpSgAVqXDltZGho3fqBCRWxoAP06evcSRWt6Fo6iBA3gHh0OrQEuWrSIWbNmcenSJZdWxhvJz89nxYoVFrvNvA0l6FCCBmhdOqxlaWjK+AGEqKp4NOQ8RYUFFtd7E63pWTiKEjSAe3Q4ZE5Hjx5NRUUFSUlJ6HQ6fH19ZeUNt80qmerqajIyMiy2jnsbStChBA3QunQUlsvrYI/x89OoeOX+zhzfkdYqNDhDa3oWjqIEDSDX0dDmOIpDBnDRokUu+XCBQNB62XI8k+mfHjb/bY/xA6g2SPyifQTHW7KyAoEDOGQAJ0yY4Op6CASCVoLBKHHgQj7TPmm+8TOx8afrLVFVgcApHF5RNBgMfP755/z8888A3HHHHYwcObLZfoACgaD18NVP15mz4TgF5TcimTTX+AGcvF6CbTdzgaB14JABPHfuHMOHD+fatWt06dIFqIu5mZiYyKZNm0hKSnJpJVszoaGhjBgxwmY0Cm9BCTqUoAE8p2PBVyf5cM9F2TFHjB+AX0CgeBatBCVoALmOhmHSHMUhP8Dhw4cjSRKrVq0yh+fJz89n/PjxqNVqNm3a5JLKuQORDkkgsOSrn+TrfeC48QN4eVgXnhrUyR1VFQhc1o875Aaxe/du/vKXv8hi00VGRvLmm29aRFBXOhUVFRw+fNgiIK+3oQQdStAALa/DYJSYs0G+ZcUZ4wcQ4Yd4Fq0EJWgA9+hwyACaoqU3pKysDD8/P6cr5U0UFxezceNGc540b0UJOpSgAVpeR/rFAgrquTs4a/wAQjQ14lm0EpSgAdyjwyED+H//939MnTqV77//HkmSkCSJAwcO8PTTTzNy5EiXVU4gELif+tFeXGH84kO13NHWu9ebBDcHDhnAv//97yQlJZGSkoJWq0Wr1TJgwAA6derEu+++6+o6CgQCN2KK9uIK46cC5o7oikbtvTEnBTcPDu0CDQsLY8OGDZw9e5ZTp04BcPvtt9Opk1j0Fgi8jeQOEfSUSvi7C0Z+c0d05f5u8VYTDAsErQ2nIoveeuut3Hrrra6qi1fi5+dHu3btvH7tUwk6lKABWl6H5tpVVn/6MjoHjF9koB8P9mrDvV3jSO4QYR75iWfRelCCBnCPDrvdIGbOnMmf//xnAgMDmTlzZqPnLly40CWVcwfCDUJws2MwSqRfLCCntIqE0nz6THwY1YULVCS0Y+xjC/hRdeN7Eeinpm1YACVVtYRofXiod1u6twmjoLKamGCtzOgJBC2Fq/pxu0eAR44coaamxvx/QR1KzLXlrTqUoAHcq2PL8UzmbzxJZnGVec1PVZRFRUI7dN99S1rbBLNxdMbAiWfRelCCBpDrcOVNbyqKi4slQCouLnbJ/a5fvy7NmzdPun79ukvu5ymUoEMJGiTJfTo2H7sutX/pS6ndS19K/actly6FxUkSSJfC4qSUaculzcdc93niWbQelKBBkuQ6XNWPO7QL9Mknn7TqB1heXs6TTz7ppEkWCASOYjBK7D+fz4aj19h/Ph+DUTIfn7/xJBK2d3vO33jSfL5AcDPg0CaYlStX8uabbxIcHCw7XllZyccff8yyZctcUjmBQGA/9ac3TZh2ZoYG+MmmPa3t9swsriL9YgEpSd6dxV0gsJdmGcCSkhKz43tpaSla7Y1s0QaDga+++oqYGBEDXiBwFfU3rDS2JrfleCbTPjlMw/FbZnEVT39ymOHdYu3y86vvFC8QKJ1mGcCwsDBUKhUqlYrOnTtblKtUKubPn++yygkENzPfncvjnRXWR3T3d4s3H6s/vWmLI98dt8vJ3eQULxDcDDQrG8Tu3buRJIkhQ4bw3//+VxYM2+Sj0aZNG7dU1FW42g3CYDBQXl5OYGCgV+dCVIIOJWiAOh1fHrrAzLRTGBoEazKN/T4Y38dsBPefz2fsRwds3s+ekZ8KiAvVsvelIS5xa1DSs/B2HUrQAHId5eXlLesGATBo0CAALl68yC233OLVW2pdhUajUYQ/oRJ0KEEDACo1b26/bGH8ACTqjNX8jSe5t2scGrWq0WlLe40fuDaEmVKehRJ0KEEDuEeHQ7tAd+zYwfr16y2Or1u3jpUrVzpdKW+isLCQdevWUVhY6OmqOIUSdChBA8Cuny7SpfIEQSq91XKJurW9787lsfTbC2z6yXrYMXtje8aFamUjSleglGehBB1K0ADu0eGQAVywYAFRUVEWx2NiYnjjjTecrpQ3UVVVxcmTJ6mq8u7NA0rQoQQNADlFpXTQFOJP41mvn1iWzp83/czXJ7MtyuwxfjPu6cTqKf3Z+9IQlxo/UM6zUIIOJWgA9+hwyA3i8uXLdOjQweJ4u3btuHz5stOVEghuZiJ09sU6tLV4b+/I79bYIOHyILipcWgEGBMTw08//WRx/McffyQyUnyhBAJncCaXXnNSGokdn4KbHYcM4NixY3n22WfZuXMnBoMBg8HAjh07eO655xgzZoyr6ygQ3FTU34jSnC0pzTF+4TofkjtEWC0TCG4WHJoC/fOf/8ylS5f41a9+hY9P3S2MRiNPPPHETbcGGBwczJAhQyyi4ngbStChBA1wQ0fvgDYs+OaSzA9Q56ehotpgcU1zk9mO6p3g1iwOSnsW3qxDCRpArsNoNLrkns3yA2zImTNn+PHHHwkICKB79+60a9fOJZVyJyIdksCbMBglDlzIZ//5fECiqKKaT76/IjvHkUzuq6f0F+t/Aq+lxdMhWaNz585WI8LcTFRVVZGRkUG7du1koeG8DSXoUIIGkOvYda7QIr5nfRwxfmEBGrdPfzr7LOwNAedulPBOKUEDyHW4CrsNoFIS4rqawsJC1qxZw9SpU4mPd+1W8pZECTqUoAFu6Og2ZBTPb7rs9G7PhrzxcA+3GxNnnkVjQb1d7a7RFEp4p5SgAeQ6AgMDXXJPlyfEFdFhBALXsGTPBSQbX1FHjd+Uge0Z3qP1hiu0FdQ7q7iKaZ8cdrnDvuDmxm4DuHPnTqv/FwgE7iGvTI+1r6jjxq8Dsx/o6oaauobGgnpbCwEnEDiLQ24QAoHAMzhi/IL8fXj/sT6t2vgBpF8ssLnWCTdCwKVfLGi5SgkUjd0jwFGjRtl907S0NIcq4434+PgQHR1tdgfxVpSgQwkaoE5HYGgEtVXy36fNMX4je7bhlggdKUmR9O8Y2eIjJkeehb25CFsyZ6ES3iklaAD36LDbDWLSpEnm/0uSxGeffUZoaCh9+/YF4NChQxQVFTFq1CiWL1/usgq6GuEGIfAGDEaJO1/7hqKKunX35o78Vk3ux4BbLeP1tmaaSutkQrhwCFrcDaK+UXvppZf49a9/zeLFi835pQwGA9OnTxdGRSBwAVuPZzps/ADyyq1nkmjNJHeIID5US1ZxldV1QFPOQhHBRuAqHFoDXLZsGc8//7wsuaJGo2HmzJksW7bMZZXzBrKysliwYAFZWVmeropTKEGHEjQArN9zjH1pS4lQVTi84cXTcT4deRYatYq5I+rWKRtO2LojZ6E9KOGdUoIGcI8OhwxgbW0tp06dsjh+6tSpZoeoee+992jfvj1arZZ+/fqRnp7e6PlFRUU888wzxMfH4+/vT+fOnfnqq6+a9ZmuRJIkqqurcSKgTqtACTq8XYPBKPHutrMs2PwzfiojcQ4av/hWMEpy9Fnc3y2eD8b3IS5UbsDdkbPQHrz9nQJlaAD36HBoNXHSpElMnjyZ8+fPk5ycDMD333/Pm2++KVsrbIq1a9cyc+ZMFi9eTL9+/Vi0aBFDhw7l9OnTxMTEWJxfXV3NvffeS0xMDOvXr6dt27ZkZGQQFhbmiAyBoNWw5Xgm8744QVaJnkgVhBQXs+TTD0goym6W8QMY2TPeq90E7u8Wz71d41pFJBiBsnHIAL7zzjvExcXx17/+lczMumzU8fHxvPDCC/zhD3+w+z4LFy5kypQpZqO5ePFiNm3axLJly5g1a5bF+cuWLaOgoIDvvvsOX19fANq3b++IBIGg1dDQ+Tu2JI8Jq1cQUVTYbOMHsGTPRXrfEu7VDuMatUpsdBG4HYcMoFqt5sUXX+TFF1+kpKQEoNmbX6qrqzl06BAvv/yy7L6pqans37/f6jVffPEFKSkpPPPMM2zYsIHo6Ggee+wxXnrpJdl6ZH30ej16/Y0NAab6ZmVlUV5ebj6u1WoJDw+ntraW3Nxci/uYQgjl5eWZI+KY/jZRXl5uvr8JPz8/IiMjMRqNZGdbZu6OiYlBo9FQUFAgqyfURT8PCgqisrKSoqIiWZlpSzBg/hFSn6ioKHx9fSkqKqKyslJWFhgYSEhICHq9noKCApmOgoICs9bs7GyLKe2IiAj8/f0pKSmRtR9AQEAAYWFh1NTUyNrFhOm+ubm51NbKs52HhYUREBBAWVkZpaWlsjJ/f38iIiIwGAzk5ORY3Dc2Nha1Wk1xcbFMC9S9l4GBgVbb0NfXl6ioup2S1trQtOW6sLDQIgt1UFAQwcHBsjY0odFozDMY1towLDyCo9fKuJqTT5DGwN++OU2EqrqurKSIJZ++SkRRIdfDopn22J+oDtERSTkSKgokHQChqkp8kN+3VPKnGh8CqOFvG9LpFv4L86jJ9H7basO4uDhUKhX5+flUV1fLykJDQ9HpdFRUVJjb2ITp/ZYkSbY2Y3oGBkNd5gprbWh6v6uqqigsLJSV1X+/s7KyLKa9TO93cXExFRUVsjLT+11dXU1+fr6sTK1WExsbC0BOTo65fiZM73dpaSllZWVmHXl5eQ73EXDj/fZUH2GqV32a20eYqN+GLdlHmLRXVFRY9BGO4rBDRW1tLbt27eL8+fM89thjAFy/fp2QkBCCgoKavD4vLw+DwWBuSBOxsbFW1xcBLly4wI4dOxg3bhxfffUV586dY/r06dTU1DB37lyr1yxYsID58+dbHF++fLksMGz37t0ZNWoUJSUlLFmyxOJ80/03bNjA1atXZWX33HMPUVFRHDlyhM2bN8vKkpKSGD9+PDU1NVbv+/zzzxMYGMjWrVs5c+aMrOy+++4jJSWFCxcusH79ellZXFwcTz31FABLly61+CJPmzaNmJgY9uzZYxG6bsCAAaSmppKZmcnKlStlZVu3buWOO+4AYNWqVRYv2oQJE2jfvj3p6ens27dPVta7d29GjhxJYWGhhVaNRsOcOXOAOj/RhgvZjzzyCHfccQfHjh3j66+/lpV17tyZsWPHUlVVZbUNZ82ahb+/v3n9uL4f6rBhw0hOTubs2bN89tlnsusSEhKYPHkygNX73v3geAb36MjOnTs5duyYrGzQoEEMHjyYK1eusGrVKllZeHg4zz77LAAff/yxRQd9wKcHP5f68QvfK3TzyWYAgLZu2vOxT/9NbFEe18OiWTtpPP1Cc4G6zrZaUrOqqg8A9/idJ1wtNyjb9J24YgwjySePvrXXWPqvo+ayrl278uijj1JeXm5V6+zZs/Hx8WHjxo1kZGTIykaMGEGfPn04deoUGzdulJW1a9eOiRMnYjAYrN43ICCgrm7btnHy5ElZ2ZAhQxg4cCAZGRmsWbNGVhYdHc306dOBuu9qQ6Nsimu5d+9eDh48KCvr378/Q4cOJTs722JTnk6n44UXXgBgzZo1FoZ33LhxdOrUiUOHDrF7927z8bS0NKf6iIcffpgePXpw4sSJFu8joqKiUKvVFv7ZjvYRwcHB5njQLdlHPPzww0ydOpXz58+zadMmi3ZyBIfSIWVkZHD//fdz+fJl9Ho9Z86coWPHjjz33HPo9XoWL17c5D2uX79O27Zt+e6770hJSTEff/HFF9m9ezfff/+9xTWdO3emqqqKixcvmkd8Cxcu5O2337b6Cx6sjwATExM5ffq0LD+WN/+6c8UI0ISnft25YgRobfTSnBHgd+fyWLLnwv9CkEGRFEBMqI6XhiTQ7xb5DIcjI8DvzuXxxlc/UyxpqUWDjmoCVHXvUmxJHks+fdW85jdu7GtUhsrztzVnBKhTVfP80C4M7lJXj5YeAZowvd/eOgKsj+gj6mgNfcT169fp0qWL036ADhnAhx56iODgYJYuXUpkZCQ//vgjHTt2ZNeuXUyZMoWzZ882eY/q6mp0Oh3r16/noYceMh+fMGECRUVFbNiwweKaQYMG4evry7Zt28zHNm/ezPDhw9Hr9fj5+TX5ua52hC8uLmbv3r3cfffdhIaGOn0/T6EEHc5osBWE2bTtwtkdiAajxN1v7bAa6quhq8OTj80nOqKWY7VxlEv+Dn+mJx3GlfA+gTJ0KEEDyHWoVCqX9OMOuUF8++23zJkzx8LgtG/fnmvXrtl1Dz8/P+688062b99uPmY0Gtm+fbtsRFifAQMGcO7cOdkvjjNnzhAfH2+X8XMHFRUVHDx40OJXqLehBB2OamgqCDPUBWE2GB3ffm0rzqU1P7+ikDBu98lFS62VOzWNCs+7QijhfQJl6FCCBnCPDocMoNFotJg6ALh69apsWrEpZs6cyUcffcTKlSv5+eefmTZtGuXl5eZdoU888YRsk8y0adMoKCjgueee48yZM2zatIk33niDZ555xhEZAgHgniDMBqPE/vP5bDh6jf3n88kqrrQ4x1En98bwlMO4QOCNOLQJ5r777mPRokXmRUyVSkVZWRlz585l+PDhdt9n9OjR5Obm8sorr5CVlUWvXr3YsmWLeX758uXLqNU3bHRiYiJbt27l97//PT169KBt27Y899xzvPTSS47IEAgA1wdhtpbQNSJQPkPhKuOn89NQUX3jx2ichxLHCgTeiMN+gPfffz9du3alqqqKxx57jLNnzxIVFcXq1aubda8ZM2YwY8YMq2W7du2yOJaSksKBA00HzBUI7MXesGH2nGdrLbGw/MbGEleO/D56vC9qtUo4jAsEDuCQAUxMTOTHH39k7dq1/Pjjj5SVlTF58mTGjRtn3vZ8sxAYGEj//v0JDAz0dFWcQgk6HNXgqiDM9qwl2mP8KiVfjtfGUin5Nvp5YTpf+ie1fKoje1DC+wTK0KEEDeAeHc3eBVpTU8Ntt93Gl19+ye233+6yirQUIh2SwBqmkRsgM2D27gI1GCVW7LvInzf9bPMcV6/5/T61M8+l3urw9QKBt+KqfrzZm2B8fX0t/HluZqqrq7ly5YqF75S3oQQdzmhwJgjzluOZ3P3WDruNX0FsAnlfbGXW1Hv5fWpn4kLkn+mLgWh1GT5YbjQzEabzZcaQTnaqaxnqb/z59lQmGZcve/X7BOJ70Zpwhw6HdoE+88wzvPXWWxaOijcj+fn5LFu2zMLh1ttQgg5nNdzfLZ69Lw1h9ZT+vDumF6un9GfvS0OaNH7TPjnc6C7ShiO/B0b9mdzwaB7s1ZbnUm9l3yz5Z25/5k7+z/8UoSrb93xzVPdWNfVp+hEw9qMDPLfmKL9b+S0rli9n4/enPV01pxDfi9aDO3Q4tAb4ww8/sH37dr7++mu6d+9uMSfbMOSOQOAtNCcIc2NrfiZsTXvO33iSe7vGoVGrLD7TFLXjj8Nv5529OTLjGt8Kd3na2vgD8MZXPxMYHtWq6isQmHDIAIaFhfH//t//c3VdBAKvoin/wcbW/Ex+hY0Z27s6RbF3QLdWnRbInh8B9Y29QNCaaJYBNBqNvP3225w5c4bq6mqGDBnCvHnzbrqdnwLlYzBKNg2PqWzx7vM2r7dnw4s9foWtPS1QUz8CwD5jLxB4gmYZwNdff5158+aRmppKQEAAf//738nNzbWIuH4zoVar0el0Mod9b0QJOlylwZoju2nqEbAoa4i9uz0v5pZbudq7noUtI25ERZXkg/F/+2jtDSLQ2vCmZ2ELJWgA9+holhvErbfeyvPPP29Ow7Nt2zYeeOABKisrvaZxhRuEoDEaC4ptzxelua4Oi50Msu1p9p/PZ+xHTQem8GRgboHy8IgbxOXLl2WhzlJTU1GpVFy/ft3hCggErQV7HNkbwxE/P1OQ7YaxQ50JvN2SmIII2Frdaw2BuQUCWzTLANbW1sqSyEKdX2DD3Fc3Ezk5Ofz973+3mmPNm1CCDmc12LOeZQtHndwzi6v4545zMheCaf/ayct//gtp351wqC4tiUatMk8N1zeCYapK/p//McJUlV4dmFt8L1oP7tDRrDVASZKYOHEi/v43cpRVVVXx9NNPy1whbiY3CIPBQGFhodXsGN6EEnQ4q8HRdSpnI7z8bZs8y7cGI4FU8frGE+hCIlr9FKkpiED9tVENRkLUeuYM79Lq698Y4nvRenCHjmYZwAkTJlgcGz9+vMsqIxB4CoNRIq9U3/SJDXBHSqP6eIsLwf3d4rm3a5x556y2uoQDm3/mrk5Rnq6aQGCTZhnA5cuXu6seAoFbaMydwYS1XZ/24G7jB97lQlDfZSMzU43I2SJo7TjkCC8QeAONuTOYpuUai2LSGC1h/Ex4qwuBQNDaaXY2CG/H1W4Qer2eK1eukJiYKFsb9TaUoKO+hp1nC2y6M0Bddod7u8Yx4M3tZJU0b+rT3cbPFAw71xhEDRqvdCFQwvsEytChBA0g16HX613SjwsDKFAcBqPE3W/taHRKMyzAl1/dHsN/D19r1r2dNX46Xw0VNfYt4pvyEO59aUirXwMUCFoSj6VDEsgpLS1l165dlJaWeroqTqEEHSYN35640uR6XlFlTYsbP4CnBnVs8pwAqunlc40Aqs0uBN7mJ6iE9wmUoUMJGsA9OoQBdJKysjJ2795NWVmZp6viFErQYdKQmV/o8nu7wvj9PrUzM4bc2qjjOIBOVUNv30z+/EAn7u8Wb5FqaOxHB7j7rR1sOZ7pnCg3ooT3CZShQwkawD06hAEUKI4InZ9L7+cK4xcX4s+MIZ1sOo7X57F+twB12SBs5RvMKq5i2ieHW7URFAhaO8IAChTHHW1Dmxxl2Yu9xi9M54sKS6NmOjZv5B3mdTxb2efjQ7UsHt+Hx/q1A+wLzWYKpSYQCJqPcIMQKI4T14oZ1i2OZfsu2R3E2hrNGfm9Oao7YJkpIs5GAtuGjuP1fRRNCXFPXCtudC1Twrv8BAWC1oYwgE6i1Wrp3r27RYxUb0MJOr6/XMI1VTR/+OxnyqS67d4qFTiyz7k5xi/QTwM0btSsYSvXn+lZFNfYN4ZtjX6CSnifQBk6lKAB3KNDuEEIFMGW45k8/clhm+WBfhrKq+1zP3BkzU9FnW+hK+NeilRDAoF1hBtEK6G2tpaCggJqa2s9XRWn8GYdBqPErLRjaDASrKpCg9HiHHt/5Tm64UXCdetxpmfRJzHEa1MNefP7VB8l6FCCBnCPDmEAnSQ3N5d//OMf5ObmeroqTuHNOg6cz6eoooYwVSWPaI8Tpqq0OKei2sB9t8c0eh9nd3ua1uOcxfQsCvLzbO4YNf3dWlMNefP7VB8l6FCCBnCPDmEABV7P/gt5dp13vdjSMJpwVXgzV6/H2doxGheqdfmUq0BwsyE2wQgUgH0joLzSaqvHXRnbMybY9RsNmru5RiAQ2IcwgAKvJyUpkn/uPNfkeVlW8v25yviZ4na6az3O1o5RgUDgOGIKVOD19O8YSZjOt9nXuXLkJ9F61+MEAoF1hBuEwOPYk7S2KZpyg2iIq1Ma/T71Vp5L7ezw9QKBwH5c1Y+LKVCBR7Enaa093N8tnsXj+/DHz45TUG59rc98fzfk82sfFejU9QKBoOURU6BOkpeXx9KlS8nLs28nYmvFWR2OpOtxdaDnvnG+jAk5S4jK9k5MdyWzdeXmFyW8U0rQAMrQoQQN4B4dYgToJDU1NVy9epWamhpPV8UpnNHhyCiuqUDPKuocy+/tGmeeDm04VXpnu3AOZRSa/7567TqVRbn4EmX1M91h/Nyx+UUJ75QSNIAydChBA8h1+Pm5JuOLMIACpzCN4hoaMtMozpavWvrFgmYFerZmZNUqqD/QjFSVM9LGQMxdxg/E5heBwFsRU6ACh3EmXY+9DuM5pVXmDS4NDaa9Ucdcksn9lx2IF87oAoGiECNAgcM0dxRXH3vXzKIC/Xlmtf27OxvirPFTqWDqwA68eP/t/PLWmP9FnanzyevfMVKM/AQCL0YYQCcJCwvj4YcfJiwszNNVcQpHdDRnFNeQ5A4RxIdqGzWgAKvTMyiqsG/tolTyZ3d1B0r/lwrJFSM/SYIP91xk7cGrsnr89/DVZu9UtRclvFNK0ADK0KEEDSDX4ar1zFYxBfree+/Rvn17tFot/fr1Iz093ea5K1asQKVSyf55Ms9VQEAAPXr0ICAgwGN1cAWO6LB3FGftPI1axZ8e6NrktZuOZdldn2p8uGCIpBofl6/5NTTCju5UtQclvFNK0ADK0KEEDeAeHR43gGvXrmXmzJnMnTuXw4cP07NnT4YOHUpOTo7Na0JCQsjMzDT/y8jIaMEayykvLyc9PZ3y8nKP1cEVOKLDNIpzNF1PeGDTO7maE6XBnxpu0+TQriTTLa4O1urlqhRI9VHCO6UEDaAMHUrQAO7R4XEDuHDhQqZMmcKkSZPo2rUrixcvRqfTsWzZMpvXqFQq4uLizP9iY2NbsMZySkpK2Lx5MyUlJR6rgytwRIdGrXIqXY+rMycEqaoZWnmMVavnuNX4mai/xulKlPBOKUEDKEOHEjSAe3R41ABWV1dz6NAhUlNTzcfUajWpqans37/f5nVlZWW0a9eOxMREHnzwQU6cONES1RVYwZl0Pa7OnBBbkseEFStIKMp2u/Grj6sNuUAgaBk8ugkmLy8Pg8FgMYKLjY3l1KlTVq/p0qULy5Yto0ePHhQXF/POO+9w1113ceLECRISEizO1+v16PU3sgCYfj1kZWXJhtJarZbw8HBqa2utJlyMj48317n+Amz9qATl5eUWv078/PyIjIzEaDSSnZ1tcd+YmBg0Gg0FBQWyegIEBwcTFBREZWUlRUVFsjIfHx+io+s698xMy3WoqKgofH19KSoqorJSngcvMDCQkJAQ9Ho9BQUFMh0FBQVmrdnZ2RiN8uzqERER+Pv7U1JSYm6/npGw7onbOZOnp1TyIzLAh/ZBBjRqed1M983NzaW2tpZErUS7AD1lVbWUSv5U44OWGgJV8lBm1WgolbSoMBJhJdltgaQjriSPj1bPJ6KokOth0Ux77E9Uh+jwl2rQ44sftQSr5O1bg4YSqc4IR6osp1WKpAAMqAlS6fFHnoW6QvKlEj98MaCtLiEz88ZvSY1GQ0xMjM02jIyMxM/PT9aGJnQ6nfn/DSNemGY+6rdhfcLDw9FqtZSVlVFaWiorM73fBoPB6vJCXFwcKpWK/Px8qqvl7R8aGopOp6OiooLi4mJZmen9liSJrKwb67WmuhsMBgAKCwupqpL/UDC931VVVRQWFsrK6r/fWVlZNAxZbHq/i4uLqaiokJWZ3u/q6mry8/NlZWq12tzf5OTkmOtnwvR+l5aWUlZWZtaRl5fncB8BdRs4AgICPNZHmOpVn+b2ESbqt6G9fYSJgIAA8yYWaxFdGvYR9TFpr6iosHi/HcXrdoGmpKSQkpJi/vuuu+7i9ttv58MPP+TPf/6zxfkLFixg/vz5FseXL18u2zzTvXt3Ro0aRUlJCUuWLLE4f+7cuQBs2LCBq1evWq3biRMn2Lx5s+xYUlIS48ePp6amxup9n3/+eQIDA9m6dStnzpyRld13332kpKRw4cIF1q9fLyuLi4vjqaeeAmDp0qUWX+Rp06YRExPDnj17OHLkiKxswIABpKamkpmZycqVK2Vlmzdv5o477gBg1apVFi/ahAkTaN++Penp6ezbt09W1rt3bx4cOZKcnBw++OAjWZlGo2HOnDkApKWlmTvLIQBa2KnvyCVjBEk++ST7ytv3siGU7dW34oeBkdqfLdpwW3YCn6yeQ9uiHArCw1k7cTz9QnOBXPZX38IpQwwJmmIG+V2UXZdjDGST/nYAq/ddX9WNUklLH59rJPnIO4EjNfH8WNuW24KrObD5PxyoVxYeHs6zzz4LwMcff2zRQT/55JMkJiayf/9+Dhw4ICvr27cvffr0MbdTffz8/Hj55ZcBWLdunUUnPGbMGLp06cKRI0fYsWOHrKxr1648+uijlJeXW30PZ8+ejY+PDxs3brRYUx8xYgR9+vTh1KlTbNy4UVbWrl07Jk6ciMFgsHpfU8e6bds2Tp48KSsbMmQIAwcOJCMjgzVr1sjKoqOjmT59OlD3XW1olKdOnUp8fDx79+7l4MGDsrL+/fszdOhQsrOzLZZSdDodL7zwAgBr1qyxMLzjxo2jU6dOHDp0iN27d5uPp6WlOdVHPPzww/To0cNjfYRJQ30c7SOCg4OZOXMm4FgfMXLkSAoLCy202uojTJhmCs+dO8euXbtwBR7NBlFdXY1Op2P9+vU89NBD5uMTJkygqKiIDRs22HWfRx99FB8fH1avXm1RZm0EmJiYyOnTpwkODjYfd/TXXVFREenp6fzf//0fWq3Wa0eARUVFfPfdd9x999106dIFcP+vu5+uFPHHz44BODwCjC3J44NP/0y7oiyuhcXw/hNT+DbwNsqlug02ZZJfs0aAWh8NVbV1PyaKpABCdP7UVJZZjAAr/zcC/MfobtwZJ9/M48gI0GCUOHGtmJJaNeEBPlz7aS/JycmyreveNAI0vU8jRowgJibGa0eAJh133XUXcXFxXjkCzM/P5/PPP+euu+6SvU/eNgI0Go3s3LmTQYMGUVlZSZcuXZzOBuHxdEj9+vUjOTmZf/zjH0CdyFtuuYUZM2Ywa9asJq83GAzccccdDB8+nIULFzZ5vkiH5DyuSF8E8OeNJ1i675LD9XBXYGuAsABfJg3owIwhnfjmZJZLMlbYwlUZMQSCmwXFpEOaOXMmEyZMoG/fviQnJ7No0SLKy8uZNGkSAE888QRt27ZlwYIFALz66qv079+fTp06UVRUxNtvv01GRga/+c1vPFJ/o9FITU0Nvr6+qNUe31TrMPbqcFVnveV4psuNX1ZIFL4YqEWNZNM5wz6KK2tYtO0MXeKCuL9bPPd2jXOJ0W+ItViqKiTyi8uZ/skh3h9/p1cawZvte9GaUYIGkOtwFR5vjdGjR/POO+/wyiuv0KtXL44ePcqWLVvMQ+zLly/LpvgKCwuZMmUKt99+O8OHD6ekpITvvvuOrl2bdqp2B9nZ2bz55ptWpy68CXt0uCp9kcEoMe8Lx3fu2hr5RagqGB9whAhVRdM3aYKGfn4adV34swd7tSUlyTUh0GzFUo1QVTAu4Ajhqgq3+Bm2BDfT96K1owQN4B4dHh8BAsyYMYMZM2ZYLWu42Pm3v/2Nv/3tby1QK0F9HElfZIv0iwVklegbPccW7pz2bIi1WKaumv6FpmOpYuXzBQKB62gVBlDQ+nEm8HVDskoc85tzlfEb2CmSpwd1YuvJLD7e33QUIZOfn6vX6pyJpSoQCJzH41OggtaNKdP7ZjunN+3prPNKmz/6c+XI79tz+Ty//kciA/3tOj8mWOvy7PWm+7ryPIFA0DzECFBgE2sjnqZoqrPecjyTf+4426x6uGPaM6u4ikXbzhCm86W4osbq1K4p2/ud7cIZ9PZOl0z/1scUSzWruMpmzNPGYqkKBALn8LgbREvjajcIg8FAVVUVWq0WjUbjghp6hoY6vvopk+mf2p+Hz2Qs9r40BI1aZXWt7JuTWVazxzdGc4yfCiN+GKhGg2TH5IYKCNP5UlhRgwoa7MSs44PxfQgN8GPsRwcsb9CA1VP6N3utzjSypN7nqzDi/z8d74/v65W7QJX6vfBGlKAB5DrKy8uV4Qbh7Wg0GgIDAz1dDaepr+Orn64zY/WRJq64QcPA19ZGjrHB/pTprY+0bNHckZ+EGn0zZvUloLCiht+n3sqaH67I6hv3v7W9e7vG8bdvTtt1P0fW6kyxVOu3l4Sa8FCdV/sBKvF74a0oQQO4R4cwgE5SUFDA1q1bGTp0KBER3jtVZdIR0KEPv/v8XLOujau3EcSaXxtAdjPX/RyZ9gxWVZHse4X0mkRKJfvXzdpHBbL3pSFWR6x3v7XD7ilgR9fqGvoZBqEn++T3JLfp7dD9WgNK+154sw4laAC5Dh8f15gusQnGSfR6PWfOnLEIUeRtmHR8sN16EHJrPJHSjtVT+rP3pSHc3y2+UVeJ5uDomp8fBm7RFOOHoclz6xMTrLXw8zNN19pj/JrKe2gP9T+/a2wAZ8969zultO+FN+tQggZwjw4xAlQQrvBRyyvTY+9rMaxbvGzNyx6/tqZoST8/07plQ8PVHENuT95DgUDQOhEGUCG0dDxJayMeZ/3VWtr4gXXD1RxDHididgoEXouYAlUA7vBRawprhsMZfzVXGr8grfx3XZjOlzCdPH5gYwl77TXkM+7pZJ7+FQgE3ocYATpJcHAw9913nyy1UkviqhBlwcHBpN57Lzt2FVNQYrQ5/adWwT/HWjcc9vi1WcNVxs8/IJBf/epefte9Oydzq2VTwYDd08P2GvIBnaLcMu3p6XfKFShBAyhDhxI0gFxHwxRMjiL8AL2c/efzXeqjZs0vrT7vP9ab4T3a2Lx+wVcn+XDPRZvlDXH1tOeMe5IY0CnaqRidBqPE3W/tsGnIG/o8CgSClsVV/biYAnWSyspKTpw4YZFQsqVwJJ6kKbzZhqPX2H8+H4NRMusYlBTGB+P7EBcqHwXFh2pZPL6PTeNnMEq8u+2MR42fH7V8ufsHJny0l7vf2uHw1K9GrWLuiLrsIg3NW0tsevH0O+UKlKABlKFDCRrAPTqEAXSSoqIi1q9fb5GNuaVobjzJLcczufutHYz96ADPrTnK2I8OcPdbO/jq4Dmzjvu7xbP3pSGsntKfd8f0krk6WGPL8UwGvLmDv22zP8SZOza8BKv03ON/gWCV3un1T5ODesMfAo2tHboKT79TrkAJGkAZOpSgAdyjQ6wBejlNrbvV3+pvy0k9q7iKN776mZH1+nqTX1pT2LpnY7TEbk9nYnSacGciXIFA4HnECNDLsXe6DmDeFydsbpYx0Zzkq444vnsqn5+juCMRrkAgaB0IA6gA7Jmu++eOc3YloT1xrdjuz22u47urjF9EoG/TJ9VD5NMTCATWEFOgTuLj40NcXJzLYtM5SmPTdVuOZ/K3bWcavb4WNflGHUV6+8OINcewuML4maZzd79wD4cyCtl3Lo9/7rwRt9SkobbB7zpvy6fXWt4pZ1CCBlCGDiVoAPfoEG4QCsdglLjztW8oqqix6/zG3CUahlozGiXGLf2+yXu6yvgBsg0owl1BILg5cVU/7t0/CQRNcuBCvt3Gr7GAzl/9lMmcDccpKK82H4sL0aL1UVNVa9sptbnGLz5Uy8ie8XzxY6bV9ET1d1+a1j+nfXLYZj4/EaNTIBDYQqwBOklmZiavvfYamZmuDzfmCvafz7frvAhVBcNqvyMnO8vCT/D1TSeZ/ulhmfEDyCqpcqnxUwGzh93Oy8O72u2GUX/9M0JVwRPaQ0SoKlrEXcFdtPZ3yh6UoAGUoUMJGsA9OsQI0AUYDM1Lv9Oy2DfDPaBTBNJVI9+dy+OdFSc9ktVBAmasOYKPj4r7G2SaaAzT+ue2g6c4sPkkCx7uRmrf2yxGfq7IltFStO53yj6UoAGUoUMJGsD1OoQBVDgpHaP4587zTZ43vFsb0q/CG1/9TL7kXNZlZ9f85n1xotm+exq1ih6JYRwAeiSGWVzb0tkyBAJB60dMgSqcX3SIQNWEHVGp4LZ41wTKdcWGl6wSvVO+ew3xRLYMgUDQ+hEGUOEcyiikqX2+koRLjIArndxd5bvXVLYMqIsW05wAAAKBQBkINwgnqampobCwkPDwcHx9m+eg3RJsOHqN59YcbfK8J/ol8EX6WUolfwwO/C5ydYSX36d25rnUW5t1jbVn4epsGS1Ba3+n7EEJGkAZOpSgAeQ6KisrhRtEa8DX15eYmJgW+SxHNnHY6wReUSNRJAU4VC93hDdbtO0MXeKCmrU+Z+1ZOJItw9O05DvlLpSgAZShQwkaQK7DVRkhxBSokxQVFfHFF1+4PdK6rSwOW45nWk1vZMIULNuWmVQB4TpfNh+5wADfSwSqmg6XVh93xvZs7tSktWfR3GwZrYGWeqfciRI0gDJ0KEEDuEeHMIBOUllZyZEjR9yaa6uxTRxPf3KYO1/7xqphBPuCZUuAllo6++ShpdbuernT+DkSyNras7DnB0BjAQA8QUu8U+5GCRpAGTqUoAHco0MYwFaOPZs4GkZ6yfyfYTQZwfu7xTP1lx0sdoOqVPBAj3i7I8XUp6WyOjg7Nenp5LYCgaD1IgxgK6e5GRfqMyvtGAajxJbjmSzZc5GGs4lGCb78qfm7P1sypZErpiY9mdxWIBC0XsQmmFaOMyOgoooa/r79LP85eKVZOfsaw1XGb9Jd7dhyItuuRL6uQCS3FQgEDREG0EkCAwMZMGAAgYHORU+xhbMjoH/tvUC5HSmOKiVffqqJo1KyvU3alSO/1K5x9OsY6dJA1k09C3uz3Hsad79TLYESNIAydChBA7hHh/ADbOU0lfKnpbDX+DWVHcLEqsn9GHBrlNUQZWEBvkwa0J4ZQ24VIzSBQGCBq/pxsQboJHq9nkuXLqHXN899wF4a28ThSnwwEKcuwQfL0WJzRn733GbfiDCvvK697u8Wz96XhvD71M6EBdSNPosqa/jbtrOy3az24O5n0VIoQYcSNIAydChBA7hHhzCATlJQUMDKlSspKHBd7MqG2NrEEeRv3wx2RKBfk8YzVFXFMP8zhKrqRmLJ7cOB5hm/cJ0v4/u1t6tO9ad2vzmZxaJtZyiqlO9GbW6szpZ4Fi2BEnQoQQMoQ4cSNIB7dIg1QC/B2iaOO9uFk/zGNptuDKaNJH96oCvPfGq51tYY6ZcKm73mt2BUd/onRRIfqm10ylatgsL/5RZsys1DRZ1DfHOzQwgEAkFTiBGgF2HaxPFgr7akJEXi56PmzVHdrY7u6m8kGd7D+giyMZpj/NQqeP+xOneC+lO2tjBK8MyndSO7ptw8HHGIFwgEAnsQBtDLMU2Pxjfh42Zaa/v3k8lNToc2d+T3z7G9Gd7jhi/d/d3iee+x3jQ1YJu/8SRZJd4Xq1MgECiDVmEA33vvPdq3b49Wq6Vfv36kp6fbdd2aNWtQqVQ89NBD7q1gI6jVaoKDg1GrPdeUJuO2ekp/3h3Ti9VT+rP3pSEWDt4atQofjdrqdKMRFeWSL9El+XYbv/hQLYvH92F4jzYWZeGB/haO9/UxjewKyuxb0LbHHaQ1PAtXoAQdStAAytChBA3gHh0ed4NYu3YtTzzxBIsXL6Zfv34sWrSIdevWcfr06UYjmF+6dIm7776bjh07EhERweeff27X53mbG4SraSw9UnNGfn964HYmDuhgc13O3jRMf/t1T/6y9XSTDvF7Xxoi1gAFAgGgIDeIhQsXMmXKFCZNmkTXrl1ZvHgxOp2OZcuW2bzGYDAwbtw45s+fT8eOHVuwtt6PrZGUvcbPFDy6MePX2Oc0JC40QMTqFAgEHsGju0Crq6s5dOgQL7/8svmYWq0mNTWV/fv327zu1VdfJSYmhsmTJ/Ptt982+hl6vV7mN1JSUgJAVlYW5eXl5uNarZbw8HBqa2vJzc21uE98fN10Yl5eHjU1N3Zd5ufns3XrVsaPH09QUJD5/ib8/PyIjIzEaDSSnZ1tcd+YmBg0Gg0FBQUW/i3BwcEEBQVRWVlpTgFiMEqcuFZMkd7ALW3iSe4QQU52lsV9o6KiUGt82H3sEtmFJUTo/LijbSiJWmgfoiKjREKDgVBVFbEleXy0eh5ti3K5FhbD1CffJss3nHBVBQ0nTEskLXNHdKW8rFTWfgABAQGEhYVRU1NDolZPl+Ba8v43xSmhokDSARCqqsQHI1FB/iRq9bTXqfjHr+/g9a3nKSwuJVBVt0M0Ksifqb/sSHIb/zrtBgM5OTkWWmNjY1Gr1Zw+fZovvviCYcOGERlZF/ElJCSEwMBAWRua8PX1JSoqCoDMTEtXi+joaHx8fCgsLKSqSr4GGRQURHBwMHq93mJbtkajMc9eZGdnYzTKAwNERkbi5+dHSUmJRRvqdDqqqqr45JNPGDp0qFkHgEqlIi4uDoDc3Fxqa+WZO8LDw9FqtZSVlVFaWiorM73fttowLi4OlUpFfn4+1dXVsrLQ0FB0Oh0VFRUUFxfLykzvtyRJZGXdeA/z8/PZvHkz48aNo02bNlbb0PR+V1VVUVhYKCvz8fEhOrruB1hWVhYNJ6qioqLw9fWluLiYiooKWVlgYCAhISFUV1eTn58vK1Or1cTGxgKQk5ODwSD3e42IiMDf35/S0lLKysrMOoYNG0bbtm0d6iMAwsLCCAgIoLy83O19RMM2zM7O5uOPP5Z9L+q3YVFRkUWGBVMbWnu/67ehtffb1IbW3u/6fUReXp6FVlMbWnu/a2pqWL9+PQ8//LBF+zqKRw1gXl4eBoPB3JgmYmNjOXXqlNVr9u7dy9KlSzl69Khdn7FgwQLmz59vcXz58uVotTdGKd27d2fUqFGUlJSwZMkSi/Pnzp0LwIYNG7h69apFudFo5MSJE2zevFl2PCkpifHjx1NTU2P1vs8//zyBgYFs3bqVM2fOyMruu+8+UlJSuHDhAuvXr5eV5Rt1vKTvSnyolmG13yE1eAm73/sIb+/OomPFKTr71L1oprzoYzv35M0ffYlWl/Prqh+YsHoFEUWFFISH8/GEJ/j9pF8BsPu/K9Ai7wxv/+X/cX+3eLZt28a+fftkZb1792bkyJEUFhay9F8fcRfA/5rYIKn4uOpOAAb5XSRSXQG1sPRfRwF45JFH2PvSEP6zaTtnDv/vvrVwfMdRqq92ZuzYsVRVVVltw1mzZuHv78/evXupqKjgv//9r7ls2LBhJCcnc/bsWT777DPZdQkJCUyePBnA6n1/+9vfEhERwc6dOzl27JisbNCgQQwePJgrV66watUqWVl4eDjPPvssAB9//LFFB/3kk0+SmJjI/v37OXBAnq2+b9++9OnTh7KyMpkOqOsoTT8W161bZ9EJjxkzhi5dunDkyBF27NghK+vatSuPPvoo5eXlVrXOnj0bHx8fNm7cSEZGhqxsxIgR9OnTh1OnTrFx40ZZWbt27Zg4cSIGg8HqfU0d4LZt2zh58qSsbMiQIQwcOJCMjAzWrFkjK4uOjmb69OlA3Xe1oVGeOnUq8fHx7N27l4MHD8rK+vfvz9ChQ8nOzraYSdLpdLzwwgtA3R6ChoZ33LhxdOrUiUOHDrF7927z8f/+979O9REPP/wwPXr0aNE+Ii4ujqeeegqj0WjxvQCYNm0aMTEx7NmzhyNHjsjKBgwYQGpqKpmZmaxcuVJWFhwczMyZMwFYtWqVxY+tCRMm0L59e9LT0xvtIxpq1Wg0zJkzB4C0tDTZDyqA1NRUSktLOXPmDLt27bJoJ0fw6Brg9evXadu2Ld999x0pKSnm4y+++CK7d+/m+++/l51fWlpKjx49eP/99xk2bBgAEydOpKioyOYaoLURYGJiIqdPnyY4ONh83NERYF5eHmlpaUydOpWQkBC3/br76uA53vjqZ3NZLWqKpQBUQISqgj8Ov427OtWNZr47l8dLmy5Ri5pAld4ix5+vNoAHf5HED7sO8/ePniehKJvrYdGsnTSemHtHMW7Y3QBkZmbx05VCCiqqzSPI6KjIZv26++5cHkv2XCC3rNo8AuwUYmTawPbm+sKNX8jWRi/+/v5EREQ0OQI8deoUa9euZdSoUeaRnTeOACsqKliyZIlMB3jXCND0vZg8eTIJCQleOwI06Rg1ahQJCQleOQLMzMy0+j552whQr9ezcuVKxo8fj8FgoEuXLk6vAXp0BBgVFYVGo7F46NnZ2eYven3Onz/PpUuXGDFihPmYqfF9fHw4ffo0SUlJsmv8/f3x9/e3uFdcXJzVhvPx8TE/BFt1tkVgYKDNQK1qtbrR+0ZE2M564Oev5Z29OeRLlveWgAJJxzt7c9g7oBsA76w4Se3/lnfLJX/KaaC/EjZ+mc43G+cRWJRNeUI7zr6/jJLD3zKm1432i4+PIz7e8jlAnWGx9eL5+vqatf6/+HgeGtDN7iwMQUFBBAUFWS3TaDSNtmFoaChQ94wanhcQEEBAQIDNaxu7b3h4uM0yf3//Rq9tOLtRH1ttaOrQrekwYTIO1nCmDetPkTVEp9Oh0+mslqlUKqv31Wg0QONtqNVqG62Ttb7ARGhoqPm5N8TPz6/R+za2yS44OFj2AzkqKsqsoTX2EU2936Z6Wbt/WFgYYWFhVq9xx/sN8j7CGtbeb9OPVJ1O57KA2B41gH5+ftx5551s377d7MpgNBrZvn07M2bMsDj/tttus5iKmjNnDqWlpbz77rskJia2RLVbnOY6izeVPzC+JJfVq18msCgLqWNHAnftorOPD7sOf8tPV4pIzza6NF2Qt2RhEAgENxceD4U2c+ZMJkyYQN++fUlOTmbRokWUl5czadIkAJ544gnatm3LggUL0Gq1dOvWTXa96ZdLw+MtRUREBBMmTGj015mz2OsEbs95DXd75q34jDsTEzl8JIN0n278O+0stdT9ao8Prdvw4i0JY1viWbQEStChBA2gDB1K0AByHa4KiO1xAzh69Ghyc3N55ZVXyMrKolevXmzZssU8tL58+XKrduD09/enffv2bv0Me10KmjrPmqvDrOBIco9nMmPtcSTk15uCUXtL1vSWeBYtgRJ0KEEDKEOHEjSAXIerDGCrsCwzZswgIyMDvV7P999/T79+/cxlu3btYsWKFTavXbFihd1O8O6gpKSEbdu2WSxsu5LkDhHEh2pthjAz+eYld4gwn9sQW35+UUH+zN94kgCqudPnKrp6uz5N2w7mbzyJobGwLq2ElngWLYESdChBAyhDhxI0gHt0tAoD6M2Ul5ezb98+i91OrqSxnIANncWtBaO2ZvyyQqLrDKVUt2YYoKqhh28WASr57jV7g1EbjBL7z+ez4eg19p/P94jBbIln0RIoQYcSNIAydChBA7hHh8enQAX2YQp63TB7epyVdbr7u8WzeHwfZqUdIyDrulXjB3VG05SYtikaW1+0ltXd29YPBQLBzYcwgF6EtZyAtnZq3t8tnnuDayhN+Q1hDaY96xun/efzrXySJbbWF7ccz2TaJ4ct4nh62/qhQCC4+RAG0MMYjJLdPnJww6XAdN2XP123ft2VK2iG3ENY5hWkjh3JW/EZs4IjLc41rRlWl1ifVjAFo07uYLmDTCSzFQgE3owwgE4SEBBA7969m3RCtYajU4dNXnflCgweDBcuQMeOqHbt4s7ERO60ci/TmuHzq/ZzpjaKqnqvRFPBqJvjn9gSfoDOPIvWhBJ0KEEDKEOHEjSAe3R4PB1SS9Na0iHZmjo0mRlbU4dbjmfy9CeHLY6brlueGsvgp0abjR+7doEdAQIcMcb2pjx6d0wvHuzVtsnzBAKBwB5c1Y+LEaCT1NTUUFhYSHh4OL6+vnZd4+jUocEoMSvtmJWr6q5rU5JLp9FToCCzWcYP4FddougV1Y1zxZBfWWvXdKyr/BNdhSPPojWiBB1K0ADK0KEEDSDX4SqEG4ST5OXl8cEHH1gN7GqL5oY2M/HPHecoqrCeBsQU3iyhIJOqxPbNMn5Qp+PDDxeTFGLkwV5tSUmKbHLdrjn+iS2BI8+iNaIEHUrQAMrQoQQN4B4dwgC2MAajxL5zlpHkrVHf9cBglFiy57zV8xr6+e1e8p9mGT9HaY5/okAgELQ2hAFsQbYcz+Tut3bwz53WDVlD6k8dHriQT3m1weIca07uIbd2dFmdm8LknxjXIPpMXKhWuEAIBIJWjVgDbCFsbXqxhsn14M524ew/n09OaRU7T1nmcLNm/Eqj41psytFEc/wTBQKBoLUgDKALMOU8s0Vjm14aYjIZI3vGM+jtnTbXCm3F9hx2a5TDhqcpHY1e20pSHjmjoTWhBB1K0ADK0KEEDeB6HcINogXYfz6fsR8dsOvccJ0vv+6bwJI9F20aTFvGD2DV5H4MuNV2Qk6BQCDwdlzVj4s1wBbA3nx+AIUVNaw9eNUh4xem86V/KxiFCQQCgTcgDKCT5Obm8uGHH5Kba3tnZ3P94BpzdbBl/ADeHNXd4elPe3S0dpSgAZShQwkaQBk6lKAB3KNDGEAnqa2tJSsri9raWpvnNOUvZw+NGb+4EH8WO7nj0h4drR0laABl6FCCBlCGDiVoAPfoEJtgWgCTv9w0KyHM7MGa8fvN2F8SFexPVKA/qCCnpIql314gIsifuBCxC1MgEAiaQhjAFsLkL/fHz45TUF7d9AX/w5rxIzGRiQM68M3JLJ5f/6PVnaIiH59AIBA0jpgCbUHu7xbPgZd/RUSgffH4bE17jvnFLXxzMotpnxy26SaR+b98fFuOZ7pSgkAgECgG4QbhJJWVlVy4cIGOHTvanabD5BQPOLTb82+je/GXLacajScKNxzq9740pMnpUEd0tDaUoAGUoUMJGkAZOpSgAeQ6ampqXNKPCwPoIaylH4oM9CO/vLrJ3Z5/euB2/rzpZ7s/a/WU/q3CSV0gEAhcgfADbCWUlZWxf/9+ysrKmnXd/d3i2fvSEFZP6c+7Y3qxekp/9r/8K3pKJTaNnym7QkSgX7M+yx4/REd1tCaUoAGUoUMJGkAZOpSgAdyjQxhAJyktLeXrr7+mtLS02deawoeZ0g/5ZV5j9ae2jR/UZVeIC23eNIY9fojO6GgtKEEDKEOHEjSAMnQoQQO4R4fYBdpauHIFBg9GdzWDioR2PPvYAjJVN4b2cfV2dRqMEvGhWrvXAFs6OLZAIBB4A8IAugiDUTJnbmh2NoT/GT8uXICOHdHt2kVa2wSb2RXq+xU2tYAr8vEJBAKBdYQBdBGTV/zA6dIbzWm3H1494yd17MjhFZ9xNV9NTHVBo0bU5FfYcCNNsz9fIBAIblKEAXSS7zNKuGwI5XpVLfWbM6u4iqc/OczvU2+lfVSg9VFhPeNXkdCOsY+8xo+brgBXgKaNWP08fFnFlRSUVzscCcbf35/OnTvj7+/vQCu0DpSgAZShQwkaQBk6lKAB3KNDuEE4gcEocfdbO5pcizMhM2gNjF/qiHlcr+fqADc2vojM6gKBQHAD4QbRCqgbeVXgTw0qjE2en/W/6Cy7th2UTXuOfWyBhfGDG07y8zeexGB07+8Ug8FAeXk5BoPBrZ/jTpSgAZShQwkaQBk6lKAB3KNDGEAnyCmtIkJVyWMBPxKhqmzyfIm6CC+dRo+ECxeoSmzPkvn/4keV7V8wEnVhzdIvFriu4lbIycnhnXfeIScnx62f406UoAGUoUMJGkAZOpSgAdyjQ6wBOkFz8/zFl+SyevXLJBRlcSU8nl//31wyj1fYdW1zkuoKBAKBoGnECNAJkjtEEBVk34Jsw/Bmvx7zhiy8WVM019gKBAKBoHGEAXQCjVrF1F92bPK8pmJ7NoYp/JlwZhcIBALXIgygk9zVKarRcmeNHwhndoFAIHAHwg3CSYxGI58fyuAP/z2BhNxIOWP8oGWd2Y1GIzU1Nfj6+qJWe+fvIiVoAGXoUIIGUIYOJWgAuY6ysjKX9ONiE4yTqNVq4iNC7DJ+5THxUFXb5D1n3NOJAZ2imu3M7gxqtdrrHWWVoAGUoUMJGkAZOpSgAdyjw3t/DrQS8vPzOffdVySF3DCB1oyfPr4N3/8xlfhQLbZMmmm97/f3diYlKbJFpz3z8/P55JNPyM/Pb7HPdDVK0ADK0KEEDaAMHUrQAO7RIQygk1RXV3PhwgWmD2wHQJsGxm/s2AVkhUTzxsPdCfDTMHdEVwALI+jp9b7q6mrOnz9PdXV1i3+2q1CCBlCGDiVoAGXoUIIGcI+OVmEA33vvPdq3b49Wq6Vfv36kp6fbPDctLY2+ffsSFhZGYGAgvXr14t///ncL1tY6d3WKYnlqLP9Z+0fZyE9KTJSFMjMFsY4Llbs1xIVqRcgzgUAgaEE8vga4du1aZs6cyeLFi+nXrx+LFi1i6NChnD59mpiYGIvzIyIimD17Nrfddht+fn58+eWXTJo0iZiYGIYOHeoBBXWor11j8FOjoSCTqsT2nFryHxbe2tHqOl79INYOpU8SCAQCgdN43AAuXLiQKVOmMGnSJAAWL17Mpk2bWLZsGbNmzbI4f/DgwbK/n3vuOVauXMnevXs9ZgBDiouJfOQRyMiAjh3R7trF0MTERq8xZYMXCAQCgWfw6BRodXU1hw4dIjU11XxMrVaTmprK/v37m7xekiS2b9/O6dOn+eUvf+nOqtoktKSEaf/5Dz7/M37s2gVNGD97MSXZ3XD0GvvP57s1IHZISAjDhg1ziWuIp1CCBlCGDiVoAGXoUIIGcI8Oj44A8/LyMBgMxMbGyo7HxsZy6tQpm9cVFxfTtm1b9Ho9Go2G999/n3vvvdfquXq9Hr1eb/67pKQEgKysLMrLy83HtVot4eHh1NbWkpuba3Gf+Ph4c51ramqAumnPyEcewefaNejYkYqvvqLYxwcyM83X+fn5ERkZidFoJDs72+K+MTExaDQaCgoKZPX87lwef//2KhklRvyoJVilJyrIn6m/7MhdnaLw8fEhOrrOpzCz3ueZiIqKwtfXl6KiIior5YG6AwMDCQkJQa/XU1BwI8h2YmIiZWVlBAYGApCdnY3RKM9yERERgb+/PyUlJbL2AwgICCAsLIyamhry8vJstmFubi61tXJ3kLCwMAICAigrK6O0tFRW5u/vT0REBAaDwWog3NjYWNRqNVVVVSQmJlJSUmJ+ziEhIQQGBlJZWUlRUZHsOl9fX6Ki6gIZWGvD6OhofHx8KCwspKpKHos1KCiI4OBgizYE0Gg05ul7a20YGRmJn5+f1TbU6XSEhobSu3dv8vLyzDoAVCoVcXFxNtswPDwcrVZrtQ1N77etNoyLi0OlUpGfn2+xySA0NBSdTkdFRQXFxcWyMtP7LUkSWVlZsrLExES02rq1bmttGBwcTFBQEFVVVRQWFsrK6r/fWVlZNHRXNr3fxcXFVFTI4+ma3u/q6mqLHYNqtdrc3+Tk5FhkFjC936WlpZSVlZl1lJSUUF1d3ew+woTp/S4vL5c9U3C8j4AbbWjt/Ta1YWBgoMX3on4bNqePaNiGLd1HJCcnU1ZWZvGuOYrHp0AdITg4mKNHj1JWVsb27duZOXMmHTt2tJgeBViwYAHz58+3OL58+XLzlxOge/fujBo1ipKSEpYsWWJx/ty5cwHYsGEDV69eJaS4mAkrVuBTWEh5XByaLVs4XljI5jVrZNclJSUxfvx4ampqrN73+eefJzAwkK1bt3LmzBlZWVBNAhBHG3UJ9/hfgFo4vuMox3fUdVhPPfUUAEuXLrX4Ik+bNo2YmBj27NnDkSNHZGUDBgwgNTWVzMxMVq5cKf/MoCD+8Ic/ALBq1SqLjnTChAm0b9+e9PR09u3bJyvr3bs3I0eOpLCw0EKrRqNhzpw5QN1GpoYv8COPPMIdd9zBsWPH+Prrr2VlnTt3ZuzYsVRVVVltw1mzZuHv78+XX37JpUuXZGXDhg0jOTmZs2fP8tlnn8nKEhISmDx5MoDV+/72t78lIiKCnTt3cuzYMVnZoEGDGDx4MFeuXGHVqlWysvDwcJ599lkAPv74Y4sO+sknnyQxMZH9+/dz4MABWVnfvn0ZMmQIP/zwAzt37pSV+fn58fLLLwOwbt06i054zJgxdOnShSNHjrBjxw5ZWdeuXXn00UcpLy+3qnX27Nn4+PiwceNGMjIyZGUjRoygT58+nDp1io0bN8rK2rVrx8SJEzEYDFbva3oPt23bxsmTJ2VlQ4YMYeDAgWRkZLCmwfcmOjqa6dOnA3Xf1YZGeerUqcTHx7N3714OHjwoK+vfvz9Dhw4lOzubZcuWycp0Oh0vvPACAGvWrLEwvOPGjaNTp04cOnSI3bt3y8qa20fU5+GHH6ZHjx6cOHGCzZs3y8qc6SPuu+8+UlJSuHDhAuvXr5eVmfqIyspK/vWvf1kYKkf7iODgYGbOnAm0bB8xcuRINBoNRUVFFm3oKB6NBFNdXY1Op2P9+vU89NBD5uMTJkygqKiIDRs22HWf3/zmN1y5coWtW7dalFkbASYmJnL69GmCg4PNx5szAjRculQ38svIQJ+QwPuPPsqYF14gJCTE6V93BqPE5BU/kFemp1zyowpf8wjQRFSQPx//JoXY2LpRhitGgHl5eaSlpZkNEXjfCPDUqVOsXbuWUaNGmUd23jgCrKioYMmSJTId4F0jQNP7NHnyZBISErx2BGjSMWrUKBISErxyBJiZmWn1ffK2EaBer2flypWMHz8eg8FAly5dvDsSjJ+fH3feeSfbt283G0Cj0cj27duZMWOG3fcxGo0WL4YJf39/q9ED4uLirDacj4+P+SFYI6qqCkaPNm94KVq7lpJNm4C6l8Y0fdgQtVrd6H0jIuqCXe8/n8/pUh/qP5pqfMiXbvydXwoXyjSYZo4bu29YWBhhYWFWy/z9/S2uNdUDsJiark9ISIjNF8/X17fROpk6NmsEBQURFBRktUyj0TR639DQUKDui93wvICAAAICAmxe29h9w8PDbZZZa8P6ONKGpg7dmg4T7mrDyEjbG7N0Oh06nc5qmUqlsnpfjUYDNN6GWq220TqZjL41QkNDzc+9IX5+fo3e19oucxPBwcGyH8hRUVFmDU32EVG24wO7oo+wRlPvt6le1u7f3D6iPi3ZR5h+pOp0Optt2Fw8PgU6c+ZMJkyYQN++fUlOTmbRokWUl5ebd4U+8cQTtG3blgULFgB1U5p9+/YlKSkJvV7PV199xb///W8++OCDlqlwaCiYvpC7dmH0cW0T2pv3T+QHFAgEAufwuAEcPXo0ubm5vPLKK2RlZdGrVy+2bNli/mVx+fJlWQDX8vJypk+fztWrVwkICOC2227jk08+YfTo0S1T4eBg2LIFioshIUG24cUV2Jv3T+QHFAgEAufwuAEEmDFjhs0pz127dsn+fu2113jttddaoFaNEBxc94+6oXxCQgK+vr4uuXVyhwjiQ7VkFVdhbXFWRV3UGFfnB3S1Dk+gBA2gDB1K0ADK0KEEDeAeHSIdUitky/FMpn1yGEBmBE1xYkTINIFAcDPjqn68VcQCFcgR8UIFAoHA/QgD6CSZmZnMnz/f6jZ6Z7i/Wzx7XxrC6in9eXdML1ZP6c/el4a4zfi5S0dLogQNoAwdStAAytChBA3gHh2tYg1QYB0RL1QgEAjchxgBCgQCgeCmRBhAgUAgENyUCAMoEAgEgpsS4QbhJLW1tZSUlBASEoKPi6PCtCRK0KEEDaAMHUrQAMrQoQQNINdRUVHhkn5cGECBQCAQeBXCD7CVUFhYSFpamkU0e29DCTqUoAGUoUMJGkAZOpSgAdyjQxhAJ6mqquLYsWMWqV68DSXoUIIGUIYOJWgAZehQggZwjw5hAAUCgUBwUyIMoEAgEAhuSrx3S5CDmPb8NMzK7CilpaVUVVVRWlrqsiSNnkAJOpSgAZShQwkaQBk6lKAB5DoMBgNwoz93lJtuF+jVq1dJTEz0dDUEAoFA4CRXrlwhISHB4etvOgNoNBq5fv06wcHBqFSqpi9ogpKSEhITE7ly5YpXu1UoQYcSNIAydChBAyhDhxI0gFxHcHAwpaWltGnTRpYwvbncdFOgarXaqV8MtggJCfHql8uEEnQoQQMoQ4cSNIAydChBA9zQERoa6vS9xCYYgUAgENyUCAMoEAgEgpsSYQCdxN/fn7lz5+Lv7+/pqjiFEnQoQQMoQ4cSNIAydChBA7hHx023CUYgEAgEAhAjQIFAIBDcpAgDKBAIBIKbEmEABQKBQHBTIgygHbz33nu0b98erVZLv379SE9Pt3luWloaffv2JSwsjMDAQHr16sW///3vFqytbZqjoz5r1qxBpVLx0EMPubeCdtAcDStWrEClUsn+abXaFqytbZr7LIqKinjmmWeIj4/H39+fzp0789VXX7VQba3THA2DBw+2eBYqlYoHHnigBWtsneY+i0WLFtGlSxcCAgJITEzk97//vcczLTRHQ01NDa+++ipJSUlotVp69uzJli1bWrC2luzZs4cRI0bQpk0bVCoVn3/+eZPX7Nq1iz59+uDv70+nTp1YsWJF8z9YEjTKmjVrJD8/P2nZsmXSiRMnpClTpkhhYWFSdna21fN37twppaWlSSdPnpTOnTsnLVq0SNJoNNKWLVtauOZymqvDxMWLF6W2bdtKAwcOlB588MGWqawNmqth+fLlUkhIiJSZmWn+l5WV1cK1tqS5OvR6vdS3b19p+PDh0t69e6WLFy9Ku3btko4ePdrCNb9BczXk5+fLnsPx48cljUYjLV++vGUr3oDm6li1apXk7+8vrVq1Srp48aK0detWKT4+Xvr973/fwjW/QXM1vPjii1KbNm2kTZs2SefPn5fef/99SavVSocPH27hmt/gq6++kmbPni2lpaVJgPTZZ581ev6FCxcknU4nzZw5Uzp58qT0j3/8w6F+VhjAJkhOTpaeeeYZ898Gg0Fq06aNtGDBArvv0bt3b2nOnDnuqJ7dOKKjtrZWuuuuu6R//etf0oQJEzxuAJurYfny5VJoaGgL1c5+mqvjgw8+kDp27ChVV1e3VBWbxNnvxd/+9jcpODhYKisrc1cV7aK5Op555hlpyJAhsmMzZ86UBgwY4NZ6NkZzNcTHx0v//Oc/ZcdGjRoljRs3zq31tBd7DOCLL74o3XHHHbJjo0ePloYOHdqszxJToI1QXV3NoUOHSE1NNR9Tq9Wkpqayf//+Jq+XJInt27dz+vRpfvnLX7qzqo3iqI5XX32VmJgYJk+e3BLVbBRHNZSVldGuXTsSExN58MEHOXHiREtU1yaO6Pjiiy9ISUnhmWeeITY2lm7duvHGG2+YI+K3NM5+LwCWLl3KmDFjPJqdwBEdd911F4cOHTJPMV64cIGvvvqK4cOHt0idG+KIBr1eb7EUEBAQwN69e91aV1eyf/9+mWaAoUOH2v3+mbjpYoE2h7y8PAwGA7GxsbLjsbGxnDp1yuZ1xcXFtG3bFr1ej0aj4f333+fee+91d3Vt4oiOvXv3snTpUo4ePdoCNWwaRzR06dKFZcuW0aNHD4qLi3nnnXe46667OHHihFviwdqDIzouXLjAjh07GDduHF999RXnzp1j+vTp1NTUMHfu3JaotgxHvxcm0tPTOX78OEuXLnVXFe3CER2PPfYYeXl53H333UiSRG1tLU8//TR//OMfW6LKFjiiYejQoSxcuJBf/vKXJCUlsX37dtLS0jz2g8oRsrKyrGouKSmhsrKSgIAAu+4jRoBuIDg4mKNHj/LDDz/w+uuvM3PmTHbt2uXpatlNaWkpjz/+OB999BFRUVGero7DpKSk8MQTT9CrVy8GDRpEWloa0dHRfPjhh56uWrMwGo3ExMSwZMkS7rzzTkaPHs3s2bNZvHixp6vmEEuXLqV79+4kJyd7uirNZteuXbzxxhu8//77HD58mLS0NDZt2sSf//xnT1fNbt59911uvfVWbrvtNvz8/JgxYwaTJk1yKquCtyJGgI0QFRWFRqMhOztbdjw7O5u4uDib16nVajp16gRAr169+Pnnn1mwYAGDBw92Z3Vt0lwd58+f59KlS4wYMcJ8zGg0AuDj48Pp06dJSkpyb6Ub4OizqI+vry+9e/fm3Llz7qiiXTiiIz4+Hl9fXzQajfnY7bffTlZWFtXV1fj5+bm1zg1x5lmUl5ezZs0aXn31VXdW0S4c0fGnP/2Jxx9/nN/85jcAdO/enfLycqZOncrs2bNb3Ig4oiE6OprPP/+cqqoq8vPzadOmDbNmzaJjx44tUWWXEBcXZ1VzSEiI3aM/ECPARvHz8+POO+9k+/bt5mNGo5Ht27eTkpJi932MRiN6vd4dVbSL5uq47bbbOHbsGEePHjX/GzlyJPfccw9Hjx71SEJhVzwLg8HAsWPHiI+Pd1c1m8QRHQMGDODcuXPmHyEAZ86cIT4+vsWNHzj3LNatW4der2f8+PHurmaTOKKjoqLCwsiZfphIHogq6cyz0Gq1tG3bltraWv773//y4IMPuru6LiMlJUWmGeCbb75pVr8MCDeIplizZo3k7+8vrVixQjp58qQ0depUKSwszLyd/vHHH5dmzZplPv+NN96Qvv76a+n8+fPSyZMnpXfeeUfy8fGRPvroI09JkCSp+Toa0hp2gTZXw/z586WtW7dK58+flw4dOiSNGTNG0mq10okTJzwlQZKk5uu4fPmyFBwcLM2YMUM6ffq09OWXX0oxMTHSa6+95ikJDr9Pd999tzR69OiWrq5Nmqtj7ty5UnBwsLR69WrpwoUL0tdffy0lJSVJv/71rz0lodkaDhw4IP33v/+Vzp8/L+3Zs0caMmSI1KFDB6mwsNBDCiSptLRUOnLkiHTkyBEJkBYuXCgdOXJEysjIkCRJkmbNmiU9/vjj5vNNbhAvvPCC9PPPP0vvvfeecINwF//4xz+kW265RfLz85OSk5OlAwcOmMsGDRokTZgwwfz37NmzpU6dOklarVYKDw+XUlJSpDVr1nig1pY0R0dDWoMBlKTmafjd735nPjc2NlYaPny4R32d6tPcZ/Hdd99J/fr1k/z9/aWOHTtKr7/+ulRbW9vCtZbTXA2nTp2SAOnrr79u4Zo2TnN01NTUSPPmzZOSkpIkrVYrJSYmStOnT/eo8ZCk5mnYtWuXdPvtt0v+/v5SZGSk9Pjjj0vXrl3zQK1vsHPnTgmw+Geq94QJE6RBgwZZXNOrVy/Jz89P6tixo0M+pSIbhEAgEAhuSsQaoEAgEAhuSoQBFAgEAsFNiTCAAoFAILgpEQZQIBAIBDclwgAKBAKB4KZEGECBQCAQ3JQIAygQCASCmxJhAAUCgUBwUyIMoECgcObNm0evXr08XQ0ABg8ezO9+9ztPV0PgBHv27GHEiBG0adMGlUrF559/3qzrq6qqmDhxIt27d8fHx4eHHnrI4pzMzEwee+wxOnfujFqtdts7IwygQGAnWVlZPPfcc3Tq1AmtVktsbCwDBgzggw8+oKKiwtPVc4h58+ahUqka/ecIu3btQqVSUVRU5NoKCzxOeXk5PXv25L333nPoeoPBQEBAAM8++6xFUlsTer2e6Oho5syZQ8+ePZ2pbqOIdEgCgR1cuHCBAQMGEBYWxhtvvEH37t3x9/fn2LFjLFmyhLZt2zJy5Eir19bU1ODr69vCNbaP559/nqefftr89y9+8QumTp3KlClTrJ7vifRLgtbFsGHDGDZsmM1yvV7P7NmzWb16NUVFRXTr1o233nrLnA4uMDCQDz74AIB9+/ZZ/ZHUvn173n33XQCWLVvmcg0mxAhQILCD6dOn4+Pjw8GDB/n1r3/N7bffTseOHXnwwQfZtGmTLHeiSqXigw8+YOTIkQQGBvL6668D8MEHH5CUlISfnx9dunTh3//+t/maS5cuoVKpOHr0qPlYUVERKpXKnEzZNKravn07ffv2RafTcdddd3H69GlZXd98801iY2MJDg5m8uTJVFVV2dQVFBREXFyc+Z9GoyE4ONj895gxY5gxYwa/+93viIqKYujQoU3W9dKlS9xzzz0AhIeHo1KpmDhxovlco9HIiy++SEREBHFxccybN6+ZT0PQmpkxYwb79+9nzZo1/PTTTzz66KPcf//9nD171tNVs0AYQIGgCfLz8/n666955plnCAwMtHpOw6nCefPm8fDDD3Ps2DGefPJJPvvsM5577jn+8Ic/cPz4cZ566ikmTZrEzp07m12f2bNn89e//pWDBw/i4+PDk08+aS77z3/+w7x583jjjTc4ePAg8fHxvP/++83+jPqsXLkSPz8/9u3bZ1cW+sTERP773/8CcPr0aTIzM82/5k33CwwM5Pvvv+cvf/kLr776Kt98841TdRS0Di5fvszy5ctZt24dAwcOJCkpieeff567776b5cuXe7p6FogpUIGgCc6dO4ckSXTp0kV2PCoqyjy6euaZZ3jrrbfMZY899hiTJk0y/z127FgmTpzI9OnTAZg5cyYHDhzgnXfeMY+W7OX1119n0KBBAMyaNYsHHniAqqoqtFotixYtYvLkyUyePBmA1157jW3btjU6CmyKW2+9lb/85S/mvy9dutTo+RqNhoiICABiYmIICwuTlffo0YO5c+ea7/3Pf/6T7du3c++99zpcR0Hr4NixYxgMBjp37iw7rtfriYyM9FCtbCMMoEDgIOnp6RiNRsaNG4der5eV9e3bV/b3zz//zNSpU2XHBgwYIBsZ2UuPHj3M/zdlt8/JyeGWW27h559/lq3pQV32bEdGmibuvPNOh6+1Rv36Q52GnJwcl36GwDOUlZWh0Wg4dOgQGo1GVhYUFOShWtlGGECBoAk6deqESqWyWGvr2LEjAAEBARbX2JoqtYVaXbcaUT89Z01NjdVz62+oMU29Go3GZn1ec2iopTl1tUbDDUEqlcqt9Re0HL1798ZgMJCTk8PAgQM9XZ0mEWuAAkETREZGcu+99/LPf/6T8vJyh+5x++23s2/fPtmxffv20bVrVwCio6OBOv8nE/U3mTTnc77//nvZsQMHDjT7Po1hT11NO0UNBoNLP1vgecrKyjh69Kj5mV+8eJGjR49y+fJlOnfuzLhx43jiiSdIS0vj4sWLpKens2DBAjZt2mS+x8mTJzl69CgFBQUUFxfL7mfCdKysrIzc3FyOHj3KyZMnXapFjAAFAjt4//33GTBgAH379mXevHn06NEDtVrNDz/8wKlTp5qcJnzhhRf49a9/Te/evUlNTWXjxo2kpaWxbds2oG4U2b9/f9588006dOhATk4Oc+bMaXY9n3vuOSZOnEjfvn0ZMGAAq1at4sSJE+bRqiuwp67t2rVDpVLx5ZdfMnz4cAICAlrlFJig+Rw8eFC2bj1z5kwAJkyYwIoVK1i+fDmvvfYaf/jDH7h27RpRUVH079+f//u//zNfM3z4cDIyMsx/9+7dG5DPKpiOARw6dIhPP/2Udu3aNbkG3SwkgUBgF9evX5dmzJghdejQQfL19ZWCgoKk5ORk6e2335bKy8vN5wHSZ599ZnH9+++/L3Xs2FHy9fWVOnfuLH388cey8pMnT0opKSlSQECA1KtXL+nrr7+WAGnnzp2SJEnSzp07JUAqLCw0X3PkyBEJkC5evGg+9vrrr0tRUVFSUFCQNGHCBOnFF1+UevbsaZfGdu3aSX/729/Mfw8aNEh67rnnLM77/+3ZoQ3AMAxEUWWLbJURsksWv7KqpCorufeoJcvsA3/dmiTnnMw5M8bI3vt131rrnsOfRvJILgCU8AMEoJIAAlBJAAGoJIAAVBJAACoJIACVBBCASgIIQCUBBKCSAAJQSQABqCSAAFS6AJoiZnEo8WksAAAAAElFTkSuQmCC",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\u001b[1m11/11\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 3ms/step \n",
            "************ 4 ************\n",
            "Mean Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "10.0 11.53 6.99 5.02\n",
            "Max Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "99.5 61.48 49.85 56.26\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "for var_index in np.arange(5):\n",
        "  X_Train, X_Test, Y_Train, Y_Test = train_test_split(df.iloc[0:-1,5:40],df.iloc[0:-1,var_index], test_size=0.2, random_state=55)\n",
        "\n",
        "  train_statsY = Y_Train.describe().transpose()\n",
        "  train_statsX = X_Train.describe().transpose()\n",
        "  XX = normx(X_Train)\n",
        "  YY = norm(Y_Train)\n",
        "  xx = normx(X_Test)\n",
        "  yy = norm(Y_Test)\n",
        "  #\n",
        "  visible = Input(shape=(len(X_Train.keys()),))\n",
        "  hidden1 = Dense(nnno, activation=ac)(visible)\n",
        "  hidden1 = Dropout(dr_rate)(hidden1)\n",
        "  hidden2 = Dense(nnno, activation=ac)(hidden1)\n",
        "  hidden2 = Dropout(dr_rate)(hidden2)\n",
        "  mergeA = concatenate([hidden2, visible])\n",
        "  hiddenB = Dense(nnno, activation=ac)(mergeA)\n",
        "  hiddenB = Dropout(dr_rate)(hiddenB)\n",
        "  hidden3 = Dense(nnno, activation=ac)(hiddenB)\n",
        "  hidden3 = Dropout(dr_rate)(hidden3)\n",
        "  merge = concatenate([hidden3, visible])\n",
        "  hidden4 = Dense(nnno, activation=ac)(merge)\n",
        "  hidden4 = Dropout(dr_rate)(hidden4)\n",
        "  predicted_value = Dense(1)(hidden4)\n",
        "  modelANN = Model(inputs=visible, outputs=predicted_value)\n",
        "  #\n",
        "  opt = optimizers.Adamax(learning_rate=LR)\n",
        "  modelANN.compile(optimizer=opt, loss=['mse'])\n",
        "  history = modelANN.fit(XX, YY,epochs=EPOCHS, validation_data = (xx,yy), verbose=0)\n",
        "  # plot losses\n",
        "  plt.figure(var_index+10)\n",
        "  plt.plot(history.history['loss'])\n",
        "  plt.plot(history.history['val_loss'])\n",
        "  plt.ylabel('loss')\n",
        "  plt.xlabel('epoch')\n",
        "  plt.legend(['train', 'test'], loc='upper right')\n",
        "  plt.show()\n",
        "  #\n",
        "  test_predictions = modelANN.predict(xx)\n",
        "  u1 = denorm(yy).to_numpy()\n",
        "  u2 = denorm(pd.Series(np.squeeze(test_predictions)))\n",
        "  # plot truth vs. prediction\n",
        "  x1 = min(min(u1),min(u2))\n",
        "  x2 = max(max(u1),max(u2))\n",
        "  plt.figure(var_index)\n",
        "  plt.plot([x1,x2],[x1,x2],color='red')\n",
        "  plt.scatter(u1, u2)\n",
        "  plt.xlabel('Ground Truth')\n",
        "  plt.ylabel('Prediction')\n",
        "  plt.gca().set_aspect('equal', adjustable='box')\n",
        "  plt.grid(color='grey', linestyle='--', linewidth=1)\n",
        "  # Errors\n",
        "  error_ANN, error_ANN_max = mean_aep(u1,u2), max_aep(u1,u2)  \n",
        "  # Save ANN Results\n",
        "  if var_index == 0:\n",
        "    np.savetxt(\"MUTC_training_loss.csv\", history.history['loss'], delimiter=\",\")\n",
        "    np.savetxt(\"MUTC_testing_loss.csv\", history.history['val_loss'], delimiter=\",\")\n",
        "    np.savetxt(\"MUTC_phasenoise_truth.csv\", u1, delimiter=\",\")\n",
        "    np.savetxt(\"MUTC_phasenoise_predictions.csv\", u2, delimiter=\",\")\n",
        "  ## LINEAR REGRESSION\n",
        "  modelLR = LinearRegression()\n",
        "  modelLR.fit(XX, YY)\n",
        "  yhat = modelLR.predict(xx)\n",
        "  u2 = denorm(pd.Series(np.squeeze(yhat)))\n",
        "  # calculate errors\n",
        "  error_LR, error_LR_max = mean_aep(u1,u2), max_aep(u1,u2)\n",
        "  ## k-Nearest Neighbors\n",
        "  modelkNN = KNeighborsRegressor()\n",
        "  modelkNN.fit(XX, YY)\n",
        "  yhat = modelkNN.predict(xx)\n",
        "  u2 = denorm(pd.Series(np.squeeze(yhat)))\n",
        "  # calculate errors\n",
        "  error_kNN, error_kNN_max = mean_aep(u1,u2), max_aep(u1,u2)\n",
        "  ## RANDOM FOREST  \n",
        "  modelRF = RandomForestRegressor()\n",
        "  modelRF.fit(XX, YY)\n",
        "  yhat = modelRF.predict(xx)\n",
        "  u2 = denorm(pd.Series(np.squeeze(yhat)))\n",
        "  # calculate errors\n",
        "  error_RF, error_RF_max = mean_aep(u1,u2), max_aep(u1,u2)\n",
        "  # PRINT ERRORS\n",
        "  print('************',var_index,'************')\n",
        "  print('Mean Absolute Percentage Errors: LR, kNN, RF, ANN')\n",
        "  print(error_LR, error_kNN, error_RF, error_ANN)\n",
        "  print('Max Absolute Percentage Errors: LR, kNN, RF, ANN')\n",
        "  print(error_LR_max, error_kNN_max, error_RF_max, error_ANN_max)\n",
        "  backend.clear_session()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "FFtnWBnMmbAu"
      },
      "outputs": [],
      "source": []
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "collapsed_sections": [],
      "name": "MUTC1750_Predict_Metrics.ipynb",
      "private_outputs": true,
      "provenance": []
    },
    "kernelspec": {
      "display_name": "adept",
      "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": "3.12.3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}