{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "H6eOwX3UGpvG"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "2025-01-07 11:12:58.334765: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
            "2025-01-07 11:12:58.412527: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
            "2025-01-07 11:12:58.459900: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
            "2025-01-07 11:12:58.470571: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
            "2025-01-07 11:12:58.527198: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
            "To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
            "2025-01-07 11:12:59.359099: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n"
          ]
        }
      ],
      "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": 3,
      "metadata": {
        "id": "xO6mZcSAGyp7"
      },
      "outputs": [],
      "source": [
        "#!git clone https://github.com/simsekergun/photodetectors.git\n",
        "df = pd.read_csv(\"./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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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>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>...</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>...</td>\n",
              "      <td>18.809560</td>\n",
              "      <td>15.110590</td>\n",
              "      <td>14.963316</td>\n",
              "      <td>15.107210</td>\n",
              "      <td>16.143015</td>\n",
              "      <td>15.408240</td>\n",
              "      <td>18.748188</td>\n",
              "      <td>18.170262</td>\n",
              "      <td>18.928396</td>\n",
              "      <td>18.424882</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>...</td>\n",
              "      <td>18.598791</td>\n",
              "      <td>15.753583</td>\n",
              "      <td>16.503791</td>\n",
              "      <td>15.918030</td>\n",
              "      <td>17.227887</td>\n",
              "      <td>14.868644</td>\n",
              "      <td>17.181844</td>\n",
              "      <td>18.193125</td>\n",
              "      <td>18.721811</td>\n",
              "      <td>18.832509</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>...</td>\n",
              "      <td>18.836957</td>\n",
              "      <td>16.173186</td>\n",
              "      <td>15.372912</td>\n",
              "      <td>15.287802</td>\n",
              "      <td>16.491362</td>\n",
              "      <td>15.809560</td>\n",
              "      <td>18.100371</td>\n",
              "      <td>17.856124</td>\n",
              "      <td>19.404834</td>\n",
              "      <td>18.217484</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3 rows × 39 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "   phasenoise  phasenoise_15mA   current       IR_max  decay_time    t1  \\\n",
              "0    -161.516         -170.938  0.001713  32002500000     184.775  20.7   \n",
              "1    -162.136         -171.316  0.001812  28499800000     161.603  76.7   \n",
              "2    -162.661         -172.271  0.001641  34642300000     174.001  86.5   \n",
              "\n",
              "      t2    t3    t4     t5  ...         d8         d9        d10        d11  \\\n",
              "0  121.5   6.0  33.5   96.7  ...  18.809560  15.110590  14.963316  15.107210   \n",
              "1   79.0  85.4  12.0   77.6  ...  18.598791  15.753583  16.503791  15.918030   \n",
              "2   94.5   7.0  16.6  111.4  ...  18.836957  16.173186  15.372912  15.287802   \n",
              "\n",
              "         d12        d13        d14        d15        d16        d17  \n",
              "0  16.143015  15.408240  18.748188  18.170262  18.928396  18.424882  \n",
              "1  17.227887  14.868644  17.181844  18.193125  18.721811  18.832509  \n",
              "2  16.491362  15.809560  18.100371  17.856124  19.404834  18.217484  \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": {
            "text/html": [
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>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>...</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>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>...</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>...</td>\n",
              "      <td>17.712256</td>\n",
              "      <td>15.987027</td>\n",
              "      <td>16.378908</td>\n",
              "      <td>16.358700</td>\n",
              "      <td>17.047689</td>\n",
              "      <td>16.258266</td>\n",
              "      <td>17.985147</td>\n",
              "      <td>19.221367</td>\n",
              "      <td>19.013471</td>\n",
              "      <td>19.121494</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>...</td>\n",
              "      <td>0.410801</td>\n",
              "      <td>0.442477</td>\n",
              "      <td>0.810166</td>\n",
              "      <td>0.812304</td>\n",
              "      <td>0.441059</td>\n",
              "      <td>0.833403</td>\n",
              "      <td>0.415166</td>\n",
              "      <td>0.545513</td>\n",
              "      <td>0.416695</td>\n",
              "      <td>0.555979</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>...</td>\n",
              "      <td>16.505150</td>\n",
              "      <td>14.801404</td>\n",
              "      <td>14.801404</td>\n",
              "      <td>14.800029</td>\n",
              "      <td>15.947434</td>\n",
              "      <td>14.801404</td>\n",
              "      <td>16.808886</td>\n",
              "      <td>17.806858</td>\n",
              "      <td>17.800029</td>\n",
              "      <td>17.801404</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>...</td>\n",
              "      <td>17.482158</td>\n",
              "      <td>15.761552</td>\n",
              "      <td>15.868937</td>\n",
              "      <td>15.837904</td>\n",
              "      <td>16.781037</td>\n",
              "      <td>15.708421</td>\n",
              "      <td>17.797268</td>\n",
              "      <td>18.905256</td>\n",
              "      <td>18.872714</td>\n",
              "      <td>18.790637</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>...</td>\n",
              "      <td>17.698970</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>16.110590</td>\n",
              "      <td>16.064458</td>\n",
              "      <td>17.093422</td>\n",
              "      <td>16.000000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>19.155336</td>\n",
              "      <td>19.000000</td>\n",
              "      <td>19.000000</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>...</td>\n",
              "      <td>17.884795</td>\n",
              "      <td>16.254063</td>\n",
              "      <td>16.993636</td>\n",
              "      <td>16.980648</td>\n",
              "      <td>17.455600</td>\n",
              "      <td>16.897624</td>\n",
              "      <td>18.118923</td>\n",
              "      <td>19.850603</td>\n",
              "      <td>19.167317</td>\n",
              "      <td>19.589391</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>...</td>\n",
              "      <td>18.987666</td>\n",
              "      <td>17.193125</td>\n",
              "      <td>17.710963</td>\n",
              "      <td>17.687529</td>\n",
              "      <td>17.848805</td>\n",
              "      <td>17.923244</td>\n",
              "      <td>19.873902</td>\n",
              "      <td>20.193125</td>\n",
              "      <td>20.193125</td>\n",
              "      <td>20.195900</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 39 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        phasenoise  phasenoise_15mA      current        IR_max   decay_time  \\\n",
              "count  1755.000000      1755.000000  1755.000000  1.755000e+03  1755.000000   \n",
              "mean   -170.904159      -177.668607     0.003658  5.396398e+10    62.732325   \n",
              "std       3.845182         2.248727     0.002374  1.190861e+10    31.641076   \n",
              "min    -178.621000      -183.613000     0.001459  2.849980e+10    22.224300   \n",
              "25%    -173.773000      -179.189500     0.002360  4.545390e+10    37.899700   \n",
              "50%    -170.027000      -177.815000     0.002539  5.236430e+10    53.955800   \n",
              "75%    -168.358000      -176.220500     0.003013  6.194950e+10    75.028400   \n",
              "max    -161.516000      -170.334000     0.009902  9.755770e+10   184.775000   \n",
              "\n",
              "                t1           t2           t3           t4           t5  ...  \\\n",
              "count  1755.000000  1755.000000  1755.000000  1755.000000  1755.000000  ...   \n",
              "mean     47.636524   106.206610    34.891556    43.307134   107.375670  ...   \n",
              "std      24.608927    30.429793    23.385138    23.912232    29.172582  ...   \n",
              "min      10.000000    36.000000     5.000000     6.000000    23.800000  ...   \n",
              "25%      31.850000    90.300000    15.000000    15.000000    95.900000  ...   \n",
              "50%      50.000000   100.000000    26.800000    47.000000   100.000000  ...   \n",
              "75%      52.600000   120.350000    47.200000    60.400000   120.300000  ...   \n",
              "max     178.000000   199.900000   100.000000    99.900000   199.800000  ...   \n",
              "\n",
              "                d8           d9          d10          d11          d12  \\\n",
              "count  1755.000000  1755.000000  1755.000000  1755.000000  1755.000000   \n",
              "mean     17.712256    15.987027    16.378908    16.358700    17.047689   \n",
              "std       0.410801     0.442477     0.810166     0.812304     0.441059   \n",
              "min      16.505150    14.801404    14.801404    14.800029    15.947434   \n",
              "25%      17.482158    15.761552    15.868937    15.837904    16.781037   \n",
              "50%      17.698970    16.000000    16.110590    16.064458    17.093422   \n",
              "75%      17.884795    16.254063    16.993636    16.980648    17.455600   \n",
              "max      18.987666    17.193125    17.710963    17.687529    17.848805   \n",
              "\n",
              "               d13          d14          d15          d16          d17  \n",
              "count  1755.000000  1755.000000  1755.000000  1755.000000  1755.000000  \n",
              "mean     16.258266    17.985147    19.221367    19.013471    19.121494  \n",
              "std       0.833403     0.415166     0.545513     0.416695     0.555979  \n",
              "min      14.801404    16.808886    17.806858    17.800029    17.801404  \n",
              "25%      15.708421    17.797268    18.905256    18.872714    18.790637  \n",
              "50%      16.000000    18.000000    19.155336    19.000000    19.000000  \n",
              "75%      16.897624    18.118923    19.850603    19.167317    19.589391  \n",
              "max      17.923244    19.873902    20.193125    20.193125    20.195900  \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": 14,
      "metadata": {
        "id": "lnIsvKeLIwZY"
      },
      "outputs": [],
      "source": [
        "# Let us some functions to normalize, de-normalize, and to calculate errors\n",
        "def normx(x, train_statsX):\n",
        "  return (x - train_statsX['mean']) / train_statsX['std']\n",
        "def norm(y, train_statsY):\n",
        "  return (y - train_statsY['mean']) / train_statsY['std']\n",
        "def denorm(y, train_statsY):\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": 15,
      "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": 16,
      "metadata": {
        "id": "T9UuySubf9K9"
      },
      "outputs": [
        {
          "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 0.39 0.19 0.18\n",
            "Max Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "1.68 3.32 1.3 1.01\n"
          ]
        },
        {
          "data": {
            "image/png": 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J9AQ+QtPUonpa4PaX5urxRR9OxtQDAtmYEgRB+A2ec6TmB4bgnhUZyK/Qg8/YiADotEocenVIi7kGpHOmhEsqKyuxb98+VFZW+jsrXkNomkhP4CM0TS2ix4FDBmc+dtm/F4/p1iRDGoj1Q8ZUYNTU1ODw4cOoqanxd1a8htA0kZ7AR2iavKXHbGGQmVuCrdk3kJlbcmsHrgvPRo587Oq0SqxK7ouRPeL9osebBM0GpKVLl2L79u3Izs6GXC5HeXk5b7zU1FSsXLkS58+fh0ajwYQJE/DRRx/Zxfv999/Rp08fSCQSh2kRBEEQDew6lYcl6WeQV3Fro1C8Vok3RiRixOLn3XJab+tjt3/7yIC59aW5BI0xra+vx4QJE5CUlISUlBTeOCtXrsT777+Pd999FwMGDEBNTQ0uX75sF89oNGLSpEkYPHgwjhw54uOcEwRBBDe7TuVh9hcn7NY8S0uqIH38cSD3Z7d87UrEIrc3GQUbQWNMlyxZAqBh5MlHWVkZFi1ahPT0dDzYqDJ79eplF3fRokXo0qULHnzwQTKmBEEQTjBbGCxJP2NnSOUmIz7asgwP5v4Mg1QO6XfpkPjBaX2gEDTG1BV79+6FxWLBjRs30LVrV1RVVWHgwIF4//33kZCQYI2XkZGBjRs3Ijs7G2lpaW6lbTAYYDAYrH+zi975+fmcOXulUomIiAiYTCYUFRXZpRMf37AuUFxcDKPRyAkLDw9HSEgIampq7BbV5XI5oqKiYLFYeH1RxsbGQiKRoLS0FFVVVejcuTOqqqoAAGFhYQgNDUVdXZ3ddLZUKkVMTAwAIC/P3p1XdHQ0ZDIZysvLUVdXxwlTq9XQaDQwGAwoLeUethaLxYiLiwPQ4EPT1uVXZGQkFAoFKisr7dY8QkJCEB4eDqPRiOLiYgDgaGLLsKioCCaTibcMq6urrfpZFAoFIiMjYTabUVhYaKc1Li4OYrEYJSUlqK+v54RpNBqo1WreMpTJZIiObrhTka8MY2JiIJVKUVZWBr1ez9HDlgtfGUokEsTGxjosw6ioKMjlct4yVKlU0Gq1nDJkEYlE0Ol0APjLMCIiAkqlkrcM2fZtW4asHqWyYT2Mrwy1Wi1UKhVqa2tRUVHBCWPbN8MwyM/PtytDtn03LkMWtn3r9XqUlZVxwhq37/z8fNgeXGDbd0VFBWprazlhJpPJugxkW6+N23dhYSHMZjMnnG3fVVVVqK6u5oT5q4+Qy+Xo06eP9UhJY1z1Eb9XipFXoUekqBaiP0yqzGTEO1tW4t7cE9BL5Xhu/EI8oW2NXo3S9mUfERISgjvvvNOujTYuQ1d9hLcRjDG9ePEiLBYLli1bhg8//BBarRaLFi3CsGHD8Ntvv0Eul6OkpATTpk3DF1980aTt0MuXL7eOjBuzZs0aawcCAD179sS4ceNQWVmJ1atX28VfvHgxAGDr1q24fv06J+zRRx9Fr169cPr0aezcuZMTlpiYiOTkZBiNRt50582bB7Vajd27d+P8+fMAgHPnzgEAhg8fjqSkJFy8eBGbNm3ifE6n0+GZZ54BAKSkpNh1CrNnz0ZsbCwOHjyIrKwsTtigQYMwdOhQ5OXlYe3atZywsLAwzJ07FwCwfv16uwY/depUtGvXDseOHcPhw4c5YX369MHYsWNRVlZmp/X333/HokWLAABpaWl2He/48ePRvXt3nDx5Env27OGEderUCZMmTYJer+ctwwULFkChUGDnzp3Izc3lhI0aNQr9+/fHhQsXsHnzZk5YmzZtMGPGDADgTff5559HZGQk9u/fj5MnT3LCdDodWrdujWvXrmH9+vWcsIiICLzwwgsAgHXr1tl19tOnT0dCQgIyMzNx9OhRTli/fv0wevRoFBcX2+VJLpdj4cKFAICNGzfadegTJ05E586dkZWVhYyMDE5Yt27dMGHCBNTU1PBqHT9+PAAgPT0dV65c4YSNGTMGffv2xdmzZ5Gens4Ja9u2LaZNmwaz2cyb7ksvvQSNRoN9+/bhzJkznLAhQ4Zg8ODBuHLlCjZs2MAJi4mJwXPPPQeg4bdqa+BnzZqF+Ph4HDp0CMePH+eE3X333Rg7diyuXbuGzz//nBOmUqkwf/58AMCGDRvsjPiUKVPQsWNH/PLLLzhw4AAnzJ99xNixY/HVV19Z+wiW4cOHo/+Au7Er8zf89uMuTphOp4NuwMMAgIcVOZCIGEhMJkxI+wadc89DL5Vh+mOvQ9QxHEd3foPGLdHXfcTAgQOxatUqTphEInGrj7BtR97Ar+dMFyxYgBUrVjiNk5OTgy5dulj/Tk1NxZw5c+zeoJYtW4Z//OMf2L17N4YPHw6g4c1Ep9Nhx44dGDFiBMaNG4dOnTrh7bffdpqWLXwj04SEBJw7dw5hYWHW54EwMmU/r9FoIJVKBTEyNZlMVk3sLEMwj0xZPa1atUJERETQj0xZPXfccYf1pTXYR6ZyuRxmsxlqtdru9xiMI9OIiAjrZ2zze/xGLZbtvYySimqEiRr6uehQBf46uD3CQ0Pwa5EZ/9mfi0hRLeSmeryzmR2RyjDzsdfxY7s+UIsMWPloV/RKCLem66qPiI6JxbFLpbhy4yYilFJ0b621bkZy1Ueo1WoUFRXBbDZDKuWOCd0Zmd68eROtW7cWjtOGoqIilJSUOI3ToUMHyOW3vGc4MoBr1qzB9OnTce3aNbRp08b6PC4uDm+99RZmzpyJ8PBwTuNmGAYWiwUSiQSrV6/G9OnT3cp3IDttyMvLw+rVq61v3UJAaJpIT+AjNE2O9DjaWMSH3GTEx1uWYWjuzxxfu544XXC0M3jxmG5uHZNpbv34og/36zRvTEyM9c2xuQwaNAhAw/Qma0xLS0tRXFyMtm3bAgAyMzM5b2Vbt27FihUrcOTIEbRu3dor+SAIgggGHG0s4sORIQUaHNU3xemCIwPOXsfmybnTQCBo1kyvXr2K0tJSXL16FWazGdnZ2QCAjh07IjQ0FJ06dcIjjzyCF198EatXr4ZGo8HChQvRpUsXPPDAAwCArl27ctI8fvw4xGIxevTo0dJyCIIg/MqxS6WckaEjnBlSAAhXydz+TmcGnEGDR6Ql6WcwrJsu6M6fBo0HpNdffx19+vTB4sWLUV1djT59+qBPnz6cjQPr1q3DgAEDMHr0aNx3332QyWTYtWsXZDL3K5sgCOJ2IL+izmUcV4YUACpqjW5f8O3KgAfzdWxBY0xTU1PBMIzdv/vvv98aR6PRICUlBWVlZSgpKUFaWhrnWIwt06ZNE6T3I4lE4u8seB2haSI9gY+QNFksDERiMX44V2h1A1haU+/0M+4YUqBpF3y7e82aO/ECrX7o1hgPCOQNSARBEI1xtNlnZHcd1hy5zPsZdw2pLa+N7oppg9o7nKLNzC3BpE+P8oY1pinXsXkC3RpDEARBuA272cd2ajW/Qu91QwoAb27PwT0rMhxO+fZvH4l4rdLu9hgWERoMff/2kW59XyBBxlRgFBUV4b///S/vGbZgRWiaSE/gIwRNjTf7aEV1GKs4A62oYZ2UnY60HUA2x5CysLty+Qyqt65jC8T6IWMqMEwmE/Lz8+0OKwczQtNEegIfIWhqvNlHCguixLWQguv8g13iFMG1IXV3c62rNVRvXMcWiPUTNEdjCIIgCMeYLQznejN3dusCwPRB7bAv+ypeX3vLkM5/6i0kv5iM59Vya3plNfX425cnAMDl2dTGu3L51j6FeB0bGVOCIIggh2+TUaRa7uQTtxieGIHX/rsAotyfYVYokPvpV/jXlL/wGrZV4r523+MMZ7tyhXYdGxlTgiCIIMaRR6EyF0dfRAAS1GIMeOUZiLY3XOwt2bYN3Z1co8aOKFMPX8Kb23Nc5i02TOkyjlCgozEeEMhHY+rq6nDx4kV06NABISEh/s6OVxCaJtIT+ASLJrOFwT0rMlyOFOUwoZW4EjctGtRDal0j/fH4R4g9sM+ti735vje/Qs875euJv96m0Nz68UUfTsbUAwLZmBIEcfvg7rnNSLUMpTW3bqH5k1qMTd+v9MiQsrAjYoC7hsqazkD2sUvnTAmXVFdXIzMz0yeX3/oLoWkiPYFPsGhy16PQgqHtsXyQAu/9pRM2PNUHB376uFmGFPDOrlxPCcT6oTVTgVFVVYU9e/agXbt2CA0N9Xd2vILQNJGewCdYNLm7JqmVmHD0xGHMmtoR8c8/A/yxRuqpIWXx167cQKwfMqYEQRBBCutRyNXaZffWWvxsMiFi5kxgX/NGpLYIbVeup9A0L0EQRJDitkchYz0mfPMNlF42pMQtyJgSBEEEMS7XLu+IRMTMmeh8/jwYMqQ+g6Z5BYZCoUCnTp2gUCj8nRWvITRNpCfwCTZNDtcujfXA+PFQ7tsHk0yG2i+/hEYAhjQQ64eOxngAHY0hCCLgMRiA8eMbRqI0IuVAR2MIl5jNZtTU1MBsNvs7K15DaJpIT+AT9JpsDKl561bU3H138OqxIRDrh4ypwCgsLMR7772HwsJCf2fFawhNE+kJfIJFk9nCIDO3BFuzbyAzt6ThlhaeEWlhz55BocddArF+aM2UIAgiCOFzbu/Qs1Ee/2XdhPcgY0oQBOFHbK9Oc8fpAZ9ze7nJiMVrlyE292eYFQ1O62mNtOUgY0oQBOEn+EaX8VolFo/p5tAdn9nCYEn6GTtD+vGWZXiQvY90yj/xrweGQOLj/BO3oDVTgiAIP8COLm1vfMmv0GP2Fyew6xT/1OyxS6Wcz7CGlL3Ye/pjryM9phuOXSr1af4JLnQ0xgMC+WiMxWKB0WiETCaDWCyMdyWhaSI9gU9zNLkzbevq6jRnV5htzb6BFzdkA+A3pEfa9QYAfDixNx7p3brZegKR5urxRR9O07wCQywWB9RBZm8gNE2kJ/DxRJPZwuA/Gb9jzeFLKK+7dd0Z37St7ejSFgZAXoUexy6V2vm9ZZ3bOzOkjeN5qieQCUQ9wf+KQnAoKSnBF198gZKSEn9nxWsITRPpCXyaqmnXqTzc9dZefLDvPMeQAvzTtu5encYXr3/7SPxJLcYqB4ZUhAYD3r99pMd6Ap1A1EMjU4FRX1+P3Nxc1NfX+zsrXkNomkhP4NMUTbtO5eHZPy7J5oNBg4Fbkn4Gw7rpIBGL3L46jS+exFjfcPzFgSEF/nBu32h6uKl15MkO45YkENscGVOCIAgPYXfWusJ22tbdq9Majy4BWB0yxB7YB7NCiflT/okjMd2swToXO4HdwZMdxgQZU4IgCI9xtfZpy94z+UhKjLJenTb7ixMQARyD6mh0aevZSLJtG/71wBBMthlBAkBmbondM3fgO78K3JqqXpXclwyqA8iYEgRBeIi7a58snx++jP7tIzGyR7z16jTbUSDv6NKB03oJwNmgxDeqDA+R4ck7tS7zxnd+lYVvqprgQsZUYGg0GowaNSrgjuw0B6FpIj2Bj7ua3F37ZLE1SA6vTmtkrMx1elSMfgSR+/fAolCC+S4dEh7PRo5GleV1Rqw+moduIe1x/GYdxjgYWDZnh3FLE4htjoypwFCr1ejfv7+/s+FVhKaJ9AQ+7mpytfZpC59BkohFDo3T7hOXoZ4yCfecPdqw2egvi3DpuAiL4/M4I1dno0oAMECGrLooPL8xBzJFCO9UbXN2GLc0gdjmguZozNKlSzFw4ECoVCqEh4c7jJeamopevXpBqVQiNjYWf/vb3zjhDMPgvffes14s27p1ayxdutTHuW856urq8Ntvv6Gurs7fWfEaQtNEegIfdzWxa5/ArbVOd3DHIO0+cRnSxx+/ZUj/2LXLd9TG1ahSDhM6SEoghwlL0s803C5jQ3N2GLc0gdjmgsaY1tfXY8KECZg9e7bDOCtXrsQ//vEPLFiwAKdPn8a+ffswYsQITpwXX3wRn332Gd577z2cPXsW3333XcC94TSH8vJybN68GeXl5f7OitcQmibSE/g0RRO79qnTum9kXBkkc50e6imTrL52Gx9/Yc1gY6PoyjiHiQy4T34JYSKDdWRsCzvKdvRSwHd+1V8EYpsLmmneJUuWAGgYefJRVlaGRYsWIT09HQ82Wk/o1auX9f9zcnKwatUqnDp1Cp07dwYAtG/f3neZJgjitoBd+zyaW4K/fXnCznEDi8MjL40xGFAx+hG7EWlj2OnioxdLMKhjdJNHi3zG16MdxoSVoDGmrti7dy8sFgtu3LiBrl27oqqqCgMHDsT777+PhIQEAEB6ejo6dOiAbdu2YeTIkWAYBkOHDsU777yDyEjHjdtgMMBgMFj/rqysBADk5+ejpqbG+lypVCIiIgImkwlFRUV26cTHN6xTFBcXw2jk/tjCw8MREhKCmpoaa/oscrkcUVFRsFgsKCgosEs3NjYWEokEpaWlKC4utn4HAISFhSE0NBR1dXV2b3FSqRQxMTEAgDye+w6jo6Mhk8lQXl5uN52iVquh0WhgMBhQWsp9yxWLxYiLiwMAFBQUwGKxcMIjIyOhUChQWVnJKT8ACAkJQXh4OIxGo52W4uJiaxkWFRXBZDJxPsuWYXV1NaqqqjhhCoUCkZGRMJvNvBcKx8XFQSwWo6SkxO4guEajgVqt5i1DmUyG6OhoAPxlGBMTA6lUirKyMuj1eo6e2tpaAOAtQ4lEgtjYWAD8ZRgVFQW5XM5bhiqVClqtllOGLCKRCDqdDgB/GUZERECpVPKWIdu+bcuQ/Q7WzTdfGWq1WqhUKtTW1qKiooITxrZvhmGQn58PW9j23bgMWdj2rdfrUVZWxglr3L7z8/Nh64acbd8VFRXWumCprq4GABiNRrt6bdy+CwsLYTabrWEdQoG3xnbG81+fQgjqESLi/s7rIcXiMX3BWMzIK+DpIyIjgfHjEbl/D/RSGeaMfwXn2t2BKNSgilGgHlIoYESoqKF8/77+IF4Ycgfu7RL/x9ptHSJFtXbpiv4wjao/Pqesr0RenphThnV1dbgzCnhv9J+w+uBFFFcbYIIYFUwIdFol5g2OxZ1R3Hburz6CxbZ9A3C7j/A2gjGmFy9ehMViwbJly/Dhhx9Cq9Vi0aJFGDZsGH777TfI5XJcvHgRV65cwcaNG7Fu3TqYzWa89NJLGD9+PDIyMhymvXz5cuvIuDFr1qyBUnnrjbBnz54YN24cKisrsXr1arv4ixcvBgBs3boV169f54Q9+uij6NWrF06fPo2dO3dywhITE5GcnAyj0cib7rx586BWq7F7926cP38eAJCWlgYAGD58OJKSknDx4kVs2rSJ8zmdTodnnnkGAJCSksLpFABg9uzZiI2NxcGDB5GVlcUJGzRoEIYOHYq8vDysXbuWExYWFoa5c+cCANavX2/XKU+dOhXt2rXDsWPHcPjwYU5Ynz59MHbsWJSVldlp3bJlC3r27GnVZ9vxjh8/Ht27d8fJkyexZ88eTlinTp0wadIk6PV63jJcsGABFAoFdu7cidzcXE7YqFGj0L9/f1y4cAGbN2/mhLVp0wYzZswAAN50n3/+eURGRmL//v04efIkJ+zMmTNITEzEtWvXsH79ek5YREQEXnjhBQDAunXr7Dr76dOnIyEhAZmZmTh69CgnrF+/fhg9ejSKi4vt8iSXy7Fw4UIAwMaNG+1e+iZOnIjOnTsjKyvL7jfRrVs3TJgwATU1Nbxa2Q4xPT0dV65c4YSNGTMGffv2xdmzZ5Gens4Ja9u2LaZNmwaz2cyb7ksvvQSNRoN9+/bhzBmug4QhQ4Zg8ODBuHLlCjZs2MAJi4mJwXPPPQeg4bdqa+BnzZqF+Ph4HDp0CMePH+eEse2stLQUW7du5YSpVCrMnz8fALBhwwY7Iz5lyhSsSu6L9Zt3oqPlGicsKqEjRvaIR2lpqZ1WicmERdnZwLZtMMlk+GbSJMR3kGIscgAAB+rb46I5Cu0lZUiSX7V+7lTGSVw71QaLxzyEF774GWOVOXZluEt/BwCgh7QAOkk1ju7MAdtq+PqIgQCgBEK0URg8ZhL6t4/E8mVLcer7wOgj/vznPwO41c9Zy1AiwaJFi6xhjvoI23bkDfx6a8yCBQuwYsUKp3FycnLQpUsX69+pqamYM2eO3Qhh2bJl+Mc//oHdu3dj+PDhABreTHQ6HXbs2IERI0Zg1qxZ+PTTT3Hu3Dl06tQJAHDixAncddddOHv2rHXq1xa+kWlCQgLOnTuHsLAw6/NAGJkWFBTghx9+wP3334/w8HBBjEzLy8utmrp27QoguEemrJ6HHnoIbdu2DfqRKatn/PjxiImJEcTI1GAw4Pvvv8eoUaMgEnGnNZ2NTIFb7bu8ohI/nbuB0tp6RKrk6N5aC7UqhL+PMBgQMXMmlPv2AUolyv73BSaek6K4+la/wzcyZQkPU2HPgtFYsfMMvj18Grbbek0Q4x75ZWQZW+HlUT0xsGO0XRkGUx9hMpmwZcsWDBo0yG5Dqjsj05s3b6J169ZevTXGr8a0qKjIpaPiDh06QC6XW/92ZEzXrFmD6dOn49q1a2jTpo31eVxcHN566y3MnDkTixcvxrJlyziGrK6uDiqVCnv27MGwYcPcyncgX8FGEIR3aDH/tA4cMjg6N+qIl4Z2wr/2nXcYP1wlw9vjepIHIwjwCraYmBjrW09zGTRoEADg3LlzVmPKriG2bdvWGsdkMiE3NxeJiYkAYJ0WZeMQBEG0mH9aB4YUuLVLeMG3Jx1uaGrMmsOXnBreEJkEw7rpvJRxwpagORpz9epVZGdn4+rVqzCbzcjOzkZ2drZ1IblTp0545JFH8OKLL+LIkSM4deoUpk6dii5duuCBBx4AAAwdOhR9+/bF9OnTkZWVhV9++QXPPPMMhg0bZp32DXby8vKwZMkS3imZYEVomkhPYLPrVB7+sf5HjKw/hCjRrSlGvvOdzcKJIWUZ2SMeH03u61ZyzgxulKgGI+sPYd/xs83KcqAQiG0uaIzp66+/jj59+mDx4sWorq5Gnz590KdPH87GgXXr1mHAgAEYPXo07rvvPshkMuzatQsymQxAwzx9eno6oqOjce+992L06NHo2rWr3cYFgiBuT5zdAsN3vtNj3DCkLHcnRrk8/xkeInPra0trA+fKMqERNMY0NTUVDMPY/bv//vutcTQaDVJSUlBWVoaSkhKkpaVZj8WwtGrVCt9++y2qqqqQn5+PNWvWOD0WQxDE7YO7/mlTD1/y3KA2wZACzr0ssX8/PaidW18dqZK7jkR4RNAYU4IgCF/jrt/ZN7fn4J4VGU2f8m2iIWVx5GVJGyLDnKF3YPb9HZ2OXlm6t3Z9ewzhGWRMCYIg/qApnoTyKvR49osT2PGbmwbVTUNqtjDIzC3B1uwbyMwtsY6AR/aIx6FXh+CloZ2s07rldUZ8sO8C7nt3P8be2bAxytHoFQB5L/Ihfj0aE6wE8tEYk8mEyspKaDQaSKXC8MkhNE2kJ3AxWxjcsyIDRRW1CBHVo5aRw+xizCEWAf+Z1AcP9WrlOJKbhtTVLuIdv93Ec19m2X2ONZGz7m2P737Ns/v8aw91wt0JakHUEdD8NueLPpyMqQcEsjElCKJ5sOc7ATvfB075JLkv/7GZJhhSvnOlrKH86+D2SDl0CY6Walm/vwfmP4BfrpT5/nxsEOOLPpymeQVGWVkZ0tLS7LzBBDNC00R6ApuRPeLxwaMdMVx9BaEig+sP/AHvLt8mTO06uo+U+ePfpz86NqRsvLwKPX65UoakxCg80rs1khKjIBGLBFdHgaiHjKnA0Ov1OHnypJ3btWBGaJpIT+Az4E8atLIU4W+DE1xH/gO7q82asNnI1S7ipsC3iUpodRSIeoJ/8pwgCMILNHYfqKxv8I895s7W+PSXcpTWuHc+02rImrhrd+8Ze5/EnhIIl3ffjpAxJQjitsd240+UqAZjlcBPF0vwl96t8Pnhy26lExumbLIh3XUqz+30XREol3ffjtA0L0EQtzXsxh++adZlO3KgDXHP0UGkWob+rdRNMqTOPC55Al3e7T9oZCowQkNDcd999yE0NNTfWfEaQtNEeppPU250cRbX0cafWkaGLGM86hgZNvx8FTqNAvmVzjcjLRt1BySPT2iSQwZvrZWyx3McOeGnNud76GiMB9DRGILwH0250cVV3MzcEkz6lHu5Oh8vDb0D/9p3weFRmeeSWuOVz15rsmejrdk38OKGbJfxHuwSg4yzDfef8uXh48l98VAvulrNXehoDOESg8GA33//nXOZebAjNE2kx3McTcny3ejiTlxH7gNlMKOVuAIyNFz83S5ajVXJfRFv484vSi3HJ+O7u21Ibb0bRasVbun+6+BEXneC8VolPkl2bUipzfkemuYVGKWlpVi/fj1mzZplvXE+2BGaJtLjGa7OYorQcNaTvbPTnbjvjb+T97s0Ij1GKC7gO31XlDBqxIYpkZQYhWHddDh2qRT5FXUoralHtBzo/8ozwP49dobUdnq5rKYeb27njpJ1GiXCVTJU1Bp588o6YmCnptnvb6pDBmpzvoeMKUEQQYG7N7qwZz3diQtRw+guv0LvcAq38Q5ZiViEirp6vLP7HEpKqvDxlmWIzP0ZBqkcv/57Lfr/YUj5ppf5KKi89b0icKdwWRPZeFORRCxCUmKU0zQJ/0DGlCCIoMDdG13cjQcAxdUGLB7TDbO/OGFnzFgaGzN26lhmMuLjLcswNPdn6KVyzHjsdRz5XY1Vf0wz87kF5IMdJYerZFBIxZxNTjoH68BEYELGlCCIoMBdZwRNcVrATt+uSu7LO5L8+0NdrcaMnWa2NaTTH3sdR9r1tk4dMwzTJJ++DICyWiP+N70/zhdU4UppLdpGqvBkUjvIpbStJVggYyowJBIJIiIiIJFI/J0VryE0TaTHM/q3j3Q6Jdt4fRFwPn1rG3dkj3jOeqTKXIOcw/kY3DnO+pljl0qtU7u2hhRoNHXsIc9/lYXyOqP1788OXfLayJTanO+hozEeQEdjCMI/OLrRhV1fXNXo5pamxHVE401EF6+VoudLM3gNqS9oSj6JpkFHYwiCuK0Z2SOe94iITqu0MzpNicvHrlN5uGdFBiZ9ehTzv/i5RQ0pcOsFgPc2GiLgoJGpBwTyyLSgoADr1q3DU089hbi4ONcfCAKEpon0NB9veUByRNrhU/h571bsMnRCjVHmcGq3MezUMcMwKKg0NGnd1BVfzby7Wbt4qc1x8UUfTmumAsNisaC2thYWi8XfWfEaQtNEeppPU46INI7rjmE1Wxj894dcDBSZoDDV490t77o1ImUAjL0zHn3+FOF0d7AnNGWHMh/U5nwPGVOCIG4L3HVDeOxSKYqrDZBITXhn80rcm3vC7and1QcvYVVyBFYl98WCtJMorzU6je8udK1a4ENrpgRBCJ6muCHceyYfMpMRE775pkmGlGVJ+hkM6RIHpReOtYhA16oFC2RMCYIQNK7cEAK3NvnsOpWHLw5cwDubV6Lz+fPQS2VNMqTs8Zj/ZV52ecuMK/g8IBGBC21A8oBA3oBUX1+PgoICxMXFQS537x7GQEdomkhPy+LuzTDrZwzAwg0/4/W1i/9YI5Vh5mOv4cd2fZv8nU8ltcW6zCtuxdVpFHikdyt892ueWzfheEKg11FTaa4e2oBEuEQulyMhIcHf2fAqQtNEeloOs4XB4d+L3IqbdjS3kSFt3vGXtpEqt+O+/3hvDOoYjVdGdvXIib07BHIdeUIg6qFpXoFRWVmJ3bt3o7Ky0t9Z8RpC00R6Wgb2nOh/9ue6jCs3GTFqyfNWQ/rcY3+H8Y4oqFDf5O8NV8nQKTYM2hCZW/GLqxumg9ldx4/0bo2kxCivTu0Gah15SiDqIWMqMGpqanD06FHU1NT4OyteQ2iaSI/vcbThiA85j6/dX9t3RQ9pAUJETd+NW15rxJNrjsHk5rGNltipG4h11BwCUQ8ZU4IgBIWzDUe28BlSb3k2qjGYnYbTTl1hQcaUIAhB4ereUxZvGVKVvOnO1mmnrvAgY0oQhKBwx1tQUw1piEyC8BDufs14rRIvDe2E2nrnI1AAiFRzd5y66x+YCB6CZjfv0qVLsX37dmRnZ0Mul6O8vJw3XmpqKlauXInz589Do9FgwoQJ+Oijj6zhu3fvxuLFi3H69GkolUrce++9eP/999GuXbuWEeJjVCoV+vXrB5XK/d2EgY7QNJEe3+JqDdIdQ6qHFDmmGOj/6CLrjGZoQ5R4aVAHtItWWXfbbvvtplt5em10V+i0IT7ZqesOgVZHzSUQ9QTNOdPFixcjPDwc169fR0pKCq8xXblyJd5//328++67GDBgAGpqanD58mWMHTsWAHDp0iV07doVc+fOxYwZM1BRUYGXXnoJVVVVOHHihNt5CeRzpgRxu2O2MLjrzb2cu0FZmjO1y3clmrtnWJvrqJ7wLrf1OdMlS5YAaBh58lFWVoZFixYhPT0dDz74oPV5r169rP//yy+/wGw246233oJY3DDDPW/ePDzyyCMwGo2Qydzbyh7IGI1GFBcXIzo6WhB6AOFpIj3u48mNL2/vzGm2IZXAjHCRHuWMEmY0rIkyaDCoS9LPYFg3HSRiUZMvLPcX1OZ8T9AYU1fs3bsXFosFN27cQNeuXVFVVYWBAwfi/ffftx7uveuuuyAWi7FmzRpMmzYN1dXV+N///oehQ4c6rRCDwQCD4ZZrMPZsU35+PmdrtlKpREREBEwmE4qK7A+Kx8c3vM0WFxfDaOT+2MPDwxESEoKamhq7s1NyuRxRUVGwWCwoKCiwSzc2NhYSiQSlpaW4ceMG0tLSMG7cOERHRyMsLAyhoaGoq6uzG81LpVLExMQAAPLy8uzSZRtqeXk56urqOGFqtRoajQYGgwGlpaWcMLFYbL0WqaCgwO5mh8jISCgUClRWVtptbQ8JCUF4eLj1x8KWF6upZ8+eAICioiKYTCbeMqyurkZVVRUnTKFQIDIyEmazGYWFhXZa4+LiIBaLUVJSgvp67tlCjUYDtVrNW4YymQzR0dEA+MswJiYGUqkUZWVl0Ov1HD3JyclITEzkLUOJRILY2FiHZRgVFQW5XM5bhiqVClqtllOGLCKRCDqdDgB/GUZERECpVPKWIdu+bcuQ1TNz5ky0atWKtwy1Wi1UKhVqa2tRUVHBCWPbN8MwyM/Ptz4/8nsxVh+8iAtVYlggRqjIgNahEsy6twMGdmwoc7Z919TW4dCpy9icdR0/Xy5DlAgwQYwKJgQAEGeuwLtb3v/D164Mc8a/gp/aNrQltcgAJbjloIQRw5W/Y7u+M8w2W0v0lbU4dqkUSYlRKCkuwrx7YrFsR441vJJRwggJVKhHiMiIeff8CYUF+ZwybOk+wmKx4LPPPsPEiRPtRmLB2EfU1dVh9erV1n6uMWwZuuojvI1gjOnFixdhsViwbNkyfPjhh9BqtVi0aBGGDRuG3377DXK5HO3bt8eePXvw+OOP45lnnoHZbEZSUhJ27NjhNO3ly5dbR8aNWbNmDZTKW+szPXv2xLhx41BZWYnVq1fbxV+8eDEAYOvWrbh+/Ton7NFHH0WvXr1w+vRp7Ny5kxOWmJiI5ORkGI1G3nTnzZsHtVqN3bt34/z58wCAtLQ0AMDw4cORlJSEixcvYtOmTZzP6XQ6PPPMMwCAlJQUmM3cjRSzZ89GbGwsDh48iKysLE7YoEGDMHToUOTl5WHt2rWcsLCwMMydOxcAsH79ertOeerUqWjXrh2OHTuGw4cPc8L69OmDsWPHoqyszE7rli1brMY0LS2N0/ECwPjx49G9e3ecPHkSe/bs4YR16tQJkyZNgl6v5y3DBQsWQKFQYOfOncjN5R7yHzVqFPr3748LFy5g8+bNnLA2bdpgxowZAMCb7vPPP4/IyEjs378fJ0+e5ISdOXMGiYmJuHbtGtavX88Ji4iIwAsvvAAAWLduHWpraznh06dPR0JCAjIzM3H0KHeasV+/fhg9ejSKi4vt8iSXy7Fw4UIAwMaNG+069IkTJ6Jz587IyspCRkYGJ6xbt26YMGECampqeLWyHWJ6ejquXOG60hszZgz69u2Ls2fPIj09nRPWtm1bTJs2DWaz2S7dgQCuoRdqIUc/2XW0N5XhVEY2Tv2RtSFDhqAmoiM+3voj7jLlIB7A2D9+kmUWJbYYekBuMmJt+hJ0yT0Po1SKbyZPQnwHKcL1epQwavSU5qOrlFsOuaaGkaRGpMdgBVeLnpGisGogAGDDhg0oKyuzficA7DbcgZsWLe5Sl6Gj5RpOZeRY8+uvPuLJJ58EABw5cgRXr17lhAVjH/HnP/8ZwK1+jkUikWDRokXWMEd9xJkzZ2yLqNn4dc10wYIFWLFihdM4OTk56NKli/Xv1NRUzJkzx+4NatmyZfjHP/6B3bt3Y/jw4QAa3kx0Oh127NiBESNGID8/H/feey/+8pe/YNKkSaiqqsLrr78OqVSKvXv3QiTinz7iG5kmJCTg3LlzCAsLsz6nkWkDNDK9BY1MG2jKyNRsYTAj9WerZ6AyJsQ6MlX8MYKMDlUgZdqfcSKvDi9uOgsZTAgTcR3LmyBGnVHaaGpXhjnjX8XP7RraEDuF29SRqQUifPzXIUhKjEJhYaHVwJgtDE7fqECNSIn4SA26RstQV8utGxqZNuDvkenNmzfRunVr4ayZvvzyy5g2bZrTOB06dHArLbYAu3XrZn0WExOD6Oho65vYRx99BK1Wi3feecca54svvkBCQgJ++ukn3H333bxpKxQKKBQKu+c6nY63IqRSqTU/fNhWfmPUajXUajVvmFgsdppuZGSk1ehHR0dz4oaEhCAkJMThZ52lGx4ejvDwcN4whULh9LPsD4YPjUbjsCHLZDK7dBuXG/sD5yM0NBShoaG8YRKJxGl+o6IcbxJpThlGRETYPWN3IrZkGTbG22XIvow6K0OVSuVwB6ZIJEJ8fDwyc0twrkoK2+6pmlGgGg2/w5Iq4EqdHMv35oABUA8pShhufN410ra97W7srmEUqMGt33eESgZ9XTkAwAwxSphbv0fbNVD2hYelTetWnL/Dtfx109J9BGsINRqNw+8Npj6CNdy2/VxjXLVvb+NXYxoTE+NUcFMYNGgQAODcuXNo06YNAKC0tBTFxcVo27YtAKC2tta68YhFImnYXBBIN7Y3B5FIBLlc7nCUHYwITRPpcY4750SBhp20jpwzNGfX7t0donDsdAXqGTEY3NIUzI4WqM35nqA5GnP16lWUlpbiu+++w7vvvosff/wRANCxY0frW8Zf/vIX/P7771i9ejU0Gg0WLlyIixcvIjs7GzKZDBkZGRg6dCjeeOMN6zTv3//+d5w9exY5OTlO38oaQ0djCMI3mC0MUg9fwpvbc1zGHdktBrvO2E+VNtez0f97IBE9WmuxJP2Mz65EI/yLL/rwoDGm06ZNs1vEBoD9+/fj/vvvB9BQQC+99BLS0tIgFotx33334cMPP+Rc1bNhwwa88847OH/+PFQqFZKSkrBixQrOuqwryJgShPfZdSrPzoDxwU618sXzhovA9TMGYNAd0R4dyyGCg9vamAYSgWxMi4qKsHHjRkyYMMFrU+j+RmiaSI897C0vrjoj1pT1TtAi65rNRiYvGNJwlQy/LBqG0pJiqqMAprl6bmunDYR7sLsEbXexBTNC00R6uDTllpcItQy92oTjh3Pc6V1vOa1/e1xPSMQiqqMAJxD1kDElCMJnuDNV6u4tL2FKKUprjD4xpGIR8J9JfWg9lPAYMqYEQfgEvjVQvk087u7erdLbj0K8NSL9z6S+eKgXGVLCc+gKNoIgvA67Bmo74syv0GP2Fyew69QtBwCubnlxhDcMabxWiU+SyZASzYc2IHlAIG9A0uv1uHLlCtq2bctxdRjMCE2T0PWYLQzuWZHhcOqW3Y176NUhkIhFDbe8vLUX5bX2zukd4Q1DOr5va6wYfyfvDl2h11Gw01w9tJs3QAhkY0oQ/qap15KZLQx6vrHbrUu2Ae8Y0giVDMcXDaOjLrcpvujDaZpXYFRXV+PHH3/0ya0I/kJomoSux901UDbe0dySFjWkALD8j127juCrI7OFQWZuCbZm30BmbgnMluAZhwi9zQUCZEwFRlVVFTIyMuyclAczQtMkdD3uroGy8TIvFruI2YC3du1+PLmvy127tpp2ncrDPSsyMOnTo3hxQzYmfXoU96zI4Kz9BjJCb3OBABlTgiC8CnthtqNxnwgNG39YZ/G5RTUOYt7Ce7t2+zR5s1FTNlMRty9kTAmC8CoSsQiLxzTc3mRrUG2dxe86lYedp/LhDK94NgqR/bFrt5XryI1w5lCCfbYk/UxQTfkSvoGMKUEQXmdkj3isSu4LnZY75RuhlmH6oHbQhshRb7JgSbrzS5q9NSL9cGJvaEPkTV7vPH2jwqlDCQZAXoUexy6VOoxD3B6Q0waBoVQq0a1bN0Fsf2cRmqbbRc/IHvEY1k2HY5dKsfdMPrZk30RpTT1SDl9GyuHLiFTLUFrj+DiMtwwpAExb8zNndOnqBhhWU4Wbp3Xc3XTlL26XNudP6GiMB9DRGIJwH3ed2DfGm4aUD3a6eVWy881ITT3mQwQHdDSGcInZbEZlZSXMZveOGgQDQtN0O+lpihN7Fl8bUsD1eier6a4/aZu0mSpQuZ3anL8gYyowCgsL8cEHH6CwsNDfWfEaQtN0O+lx14k9S0sYUhZn652sppLiIrc3UwUyt1Ob8xdkTAmC8BlNWUtsSUPaGFd5dLSZSqdVupwmJm4faAMSQRA+w10HDv4ypIB7eWy8mcrZdXLE7YtHxrSgoADz5s3D999/j8LCQtjuYQqkeWyCIPwH68DB2VSvvwwp63Df3fVOiVhEm4wIh3hkTKdNm4arV6/itddeQ3x8PEQiejsjCIILezF4p7hQh8bUn4YUCI71TiI48OhoTFhYGH788Uf07t3bB1kKfAL5aAzDMDCbzZBIJIJ5yRGaJiHoYQ1lYZUeMaEK3PUnLeQyqVUP38XgtrSkIRWLgMabdl2dMxVCHTWG9HDxRR/u0cg0ISHBbmqXCAxEIhGkUmEthQtNU7Dr4TOUjY2TO+dKW8qQDukSg5mDE3FX2wj8cqXM7fXOYK8jW0iP7/FoN++//vUvLFiwAJcvX/ZydojmUlJSgtTUVJSUlPg7K15DaJqCWQ+f03eNSI/eddl4df0R7Pgtz+W50pYckebkVaF/+0jIpWIkJUbhkd6tkZQY5XJqN5jriA/S43s8Mu1PPPEEamtrkZiYCJVKBZlMxgkvLSU/lf6ivr4eV65cQX19vb+z4jWEpilY9ThywCCDGTpJNaRGM17begolNY51tfQaKXuOtKkbh4K1jhxBenyPR8b0X//6l5ezQRBEoOOOA4ZAMqQsge43lxAGHhnTqVOnejsfBEEEOM0xSoF+jpQgmovHK7hmsxlbtmxBTk4OAKB79+4YO3YsJBKJ1zJHEETg4KlRCpZzpATRHDzagPT777+ja9eueOqpp5CWloa0tDQkJyeje/fuyM3N9XYeiSag1WoxZswYaLVaf2fFawhNU7DqYR0w2G7dqWbkOFTfFtWM3O4zzTGkIgBRajmeu79Dk/Pa3HOkwVpHjiA9vsejc6YPPfQQGIbB+vXrERnZ8NZXUlKC5ORkiMVibN++3esZDSQC+ZwpQfgSdjcvAJc3wXhjRPrx5D4Y0SMe96zIQH6F3uF3NvUcKXF744s+3CNjqlarcfToUfTs2ZPz/Ndff8WgQYNQXV3tlcwFKoFsTGtra3H27Fl06dIFKpXK39nxCkLTFOx6dvyWh0VbT6H0j81GChjxJ0k5rprDYUDDzn5vTe2yRhEArxFnx5wfTe6LCLXca35zg72ObCE9XALmPlOFQoGqqiq759XV1ZDL7ad6iJajoqIC6enpqKio8HdWvIbQNAWznl2n8vDm9jNWQwoAoaJ63CO/glBRwzNvrpHmV+itRtTZzS0P9Ypv0jlSVwRzHfFBenyPRxuQHn74YcyaNQspKSno378/AOCnn37Cs88+i7Fjx3o1gwRBeEZjl3/eGK3t+O0mnvsyy2kcb282Ykeh/9h8CpkLH6SbW4iAxaOR6f/93/8hMTERSUlJUCqVUCqVGDRoEDp27IgPP/zQ23kEACxduhQDBw6ESqVCeHi4XXhqaipEIhHvv8YXyP7www/o27cvFAoFOnbsiNTUVJ/klyD8ya5TebhnRQYmfXoUL27IxqRPj+KeFRnYdSrPo/R2/JaH//eVc0Mq8+Gu3ZKaety9fB/2nsn36giUILyFR8Y0PDwcW7duxblz57Bp0yZs2rQJ586dw+bNm322u6q+vh4TJkzA7NmzecOfeOIJ5OXlcf6NGDEC9913H2JjYwEAly5dwujRo/HAAw8gOzsbc+bMwV//+lfs3r3bJ3kmCH/A5/IPuDVl2lSDuutUHp778gRng48tEpMJ72xe6dPjL6U1Ro/yTxAtQbM8Bd9xxx244447vJUXpyxZsgQAHI4kQ0JCEBISYv27qKgIGRkZSElJsT775JNP0L59e7z//vsAgK5du+LQoUP44IMPMGLECN9lvgWRy+Vo27atoNauhabJl3ocufwDGqZMRQCWpJ/BsG46t0Z1ZguDBWknnUcyWTD222/RKzenRc6RNiX/nkJtLrAJRD1uG9O5c+fizTffhFqtxty5c53GXblyZbMz1lzWrVsHlUqF8ePHW59lZmZi6NChnHgjRozAnDlznKZlMBhgMBisf1dWVgIA8vPzUVNTY32uVCoREREBk8mEoqIiu3Ti4xu26RcXF8NoNHLCwsPDERISgpqaGmv6LHK5HFFRUbBYLCgoKLBLNzY2FhKJBKWlpaivr8eIESNQX1+PvLw8hIWFITQ0FHV1dSgvL+d8TiqVIiYmBgCQl2f/th8dHQ2ZTIby8nLU1dVxwtRqNTQaDQwGg50vZrFYjLi4OAANF8lbLBZOeGRkJBQKBSorKznlBzS8FIWHh8NoNKK4uNj6nNXEUlRUBJPJxFuG1dXVdhvkFAoFIiMjYTabOdP+LHFxcRCLxSgpKbHz96nRaKBWq3nLUCaTITo6GgB/GcbExEAqlaKsrAx6/a2R4ogRI6wdAV8ZSiQS64wKXxlGRUVBLpfbleFv18pRWVkBQAEJzAgXcUenDETIq2hwDdhRY7Erw4iICCiVSmsZZl8rh6SuHFEiwAApqhkFxLAgQtTQHmQmI97ZvJJjSE+174IocOu1mpHDABkUMFo3KrEYIUElowTAIEpUa1eGZUwILBAjVGSAAibUV9Zg3/Gz6JUQbm3fer0eZWVlnM81bt/5+fl2N12x7buiogK1tdzvVavVmDZtmvV31JjG7buwsBBms5kTzrbvqqoqu5MN/uwjpk2bhtLSUjs9wdhHREVFYcqUKSguLrbLF1uGrvoIb+O2Mc3KyrJWblaW87WTQCAlJQWTJ0/mjFbz8/OtFcgSFxeHyspK1NXVceI2Zvny5daRcWPWrFkDpfLW7sKePXti3LhxqKysxOrVq+3iL168GACwdetWXL9+nRP26KOPolevXjh9+jR27tzJCUtMTERycjKMRiNvuvPmzYNarcbu3btx/vx5Ttjw4cORlJSEixcvYtOmTZwwnU6HZ555BkBDedl2CrNnz0ZsbCwOHjxoV+eDBg3C0KFDkZeXh7Vr13LCwsLCrC9c69evtzNsU6dORbt27XDs2DEcPnyYE9anTx+MHTsWZWVldlolEgkWLVoEAEhLS0N+fj4nfPz48ejevTtOnjyJPXv2cMI6deqESZMmQa/X85bhggULoFAosHPnTjvHI6NGjUL//v1x4cIFbN68mRPWpk0bzJgxAwB4033++ecRGRmJ/fv34+RJ7gjv3nvvxQMPPIBr165h/fr1nLCIiAi88MILABpeDG07++nTpyMhIQGZmZk4evQoJ6ynNAZHjW0RLtJjrDKHE1bPiLFe3xeFVXpk7d5q16FPnDgRnTt3RlZWFjIyMgAAY/9o4pfMEfihPhFKmDBWmQOJyYQJad+gc+55GKVS/PWxRTjSrjdGys4iXsLtrA7Vt8UFcwz+JCnHPfIrnLA8cyh21XeBGIxdfgHg67peqIUc/WTX0V7SYDCP7szBUQBDhgzB4MGDceXKFWzYsIHzuZiYGDz33HMAGn6rti9Js2bNQnx8PA4dOoTjx49zwgYMGIChQ4ciPz8fa9as4YSpVCrMnz8fALBhwwY7Iz5lyhR07NgRv/zyCw4cOMAJ81cf8fLLL0OpVAqmjxgzZgyKi4s97iPOnDljV0bNxaNzpt5iwYIFWLFihdM4OTk56NKli/Xv1NRUzJkzx+4NqjGZmZkYOHAgjh8/jrvuusv6vFOnTnj66aexcOFC67MdO3Zg9OjRqK2tdWhM+UamCQkJOHfuHMLCwqzPA2FkeuPGDaSlpWHcuHGIjo4OyrdO25FpcXGxVRN7tjmYR6asnuTkZCQmJnp9ZDp3cw5qGMcj01JGha9m3u1yZFpeUYmVe87iwPmGemg8Mo01V+KdzStxb+4JGKQyfD15Ej5s9RBKmFBoRHrIwO10vTkyBYBlj/b06ci0uroaX375JZ5++mm7W7GCcWRqsVjw2WefYeLEiXbnKoOxj6irq8Pq1aut/Vxj3BmZ3rx5E61bt/b/5eDTp0/Hhx9+yDEkAFBTU4Pnn38en3/+uVvpvPzyy5g2bZrTOB06NN2V2GeffYbevXtzDCnQ8JZl29AKCgqg0WgcGlKgoSNWKBR2z3U6HW9FSKVSa4XyYVv5jVGr1VCr1bxhYrHYabqRkZFWox8dHc2Ja7umbIuzdMPDw3l3UAMNZePss7YzAY3RaDQOG7JMJrNLt3G5sT9wPkJDQxEaGsobJpFInOY3KsrxVV3NKcOIiAi7Z+xhc2+WYWycDprvb6K2Qg8zJChhuG1JhAZHCK6OlBy6XIUl6Tl/bGLipiE1mfHWlg9xb+4J6KVyzBn/CuI7SAF9Q3oNhpH7nQDwcK94bPstDwaGa5wax5SGRqC63owag9kutJpRoAYK6LRKDO3XhZN/pVLptAx1Op3DMK1Wa7dxkjUcfO2wMewLDx9hYWF2fSRLS/cRrB6NRuPwe4Opj2ANt20/1xhXfYS38ciYrl27Fm+//bZdQ6mrq8O6devcNqYxMTFOBXtCdXU1vvnmGyxfvtwuLCkpCTt27OA827t3L5KSkryaB4LwFxKxCIvHdMPsL05ABH5vQXz+ahufSb1cXIMP9l3gTZ/vHOm5dndgLOynZ1l0jVz7PdwrD298dxr5lbdmeiJUMozr0xpDu+nQv30k9p7Jd+rtyFN/uwThS5pkTCsrK8EwDBiGQVVVFWe90Gw2Y8eOHU7f1JrD1atXUVpaiqtXr8JsNiM7OxsA0LFjR85bxtdffw2TyYTk5GS7NJ599ln85z//wSuvvILp06cjIyMD33zzjeB9CRO3FyN7xGNVcl8sST/DOR6j0yox8c9/gsFkweHfiwEGKK4x4HJxLb46dhX5lc6vWHPkkMF2s1FjHuoRh39Pvstq/Eb2iHfpeMFZ/snfLhGoNMmYhoeHWx0hdOrUyS5cJBLxbtTxBq+//jpnEbtPnz4AgP379+P++++3Pk9JScG4ceN4pxzat2+P7du346WXXsKHH36INm3a4LPPPhPMsRiCYLE1WpeLa/DVsav4YN951x/mwVPPRkcvldo9k4hFSEp0PJ3Ol3/ydkQEOk3agHTgwAEwDIMhQ4bg22+/td4YA9w699OqVSufZDSQCGRH92azGTU1NVCr1YK5W1ZomlpaD+vEwdOdhq4MqRgWKGGCHlJYePzAfDXzbpfGM9CgNhfYNFePL/rwJo1M77vvPgANnoT+9Kc/QSSit8RAQyKRBJyBby5C09SSepw5cXAHd0akFohRC8eH5wurnE8fByLU5gKbQNTjkTvBjIwMu/NIALBx40a780REy1JWVoaNGzfaHRMIZoSmqSX1HLtUaudW0F3cndoNFRlwvzwXoSKDfSIAYsOUvM8DGWpzgU0g6vHImC5fvpx363ZsbCyWLVvW7EwRnqPX63HmzBmOt51gR2iaWlKPp6PCpqyRKmBCe0mZ9QwoS+NjOMEGtbnAJhD1eGRMr169ivbt29s9b9u2La5evdrsTBEE4R0uFzveaesIb1yjRsdYiNsNj4xpbGwsfvvtN7vnv/76q9ND7wRBtBxmC4OvjjXt5dZb95Gyl3bTMRbidsEjpw2TJk3CCy+8gLCwMNx7770AGnb6vvjii5g4caJXM0gQhGccu1TKcY7gCk8NaYi8oRtZ9mhP6OUaOsZC3JZ4ZEzffPNNXL58GQ8++CCk0oYkLBYLnnrqKVoz9TNhYWEYMmSIQzdmwYjQNLWUnqaslzZnRPrKmDsRUReDPt0SfOKmzR9QmwtsAlFPsxzdnz9/Hr/++itCQkLQs2dPtG3b1pt5C1gC+ZwpQbAcvlCMKSk/uYznqSEND5Hi7cd60VQuEXT4/ZypLZ06deL1hET4D71ejytXrqBt27Ycd4/BjNA0tZQek9niMo4nhjRcJcPTA9vj/w3pCIlYJLj6AajNBTqBqMftDUhz5861XoUzd+5cp/8I/1FWVsZ7x2IwIzRNLaFn+Y4zmJr6s9M4TTWkITIx1s8YgF8WDcOLQ++wrokKrX4A4WkiPb7H65eDk1ckgmhZGt/4EhumxL6cfKQcuuz0M56MSOuMFojFItpYRBA8uG1M9+/fz/v/BEH4j12n8uxuV3FFczYbBaNrQIJoCZq1ZkoQhP/wxIF9c8+RBqNrQIJoCdw2puPGjXM70bS0NI8yQzQfqVSKmJgY65ElISA0Td7Q44kD++YYUhEaHDHwuQYUWv0AwtNEenyP20djnn76aev/MwyDzZs3Q6vVol+/fgCAX375BeXl5Rg3bhzWrFnjm9wGCHQ0hvA3mbklmPTpUbfjN9eQAiCPRoRg8OvRmMYG8tVXX8Xjjz+OTz75xHqXnNlsxnPPPUfGhSBagJZyyAA0jEgXj+lGhpQgnOCRb97PP/8c8+bN41zKKpFIMHfuXHz++edeyxzRdPLz87F8+XLk5+f7OyteQ2iavKHH3bVLTw3p+L6t8eHE3vhq5t049OoQp4ZUaPUDCE8T6fE9HhlTk8mEs2fP2j0/e/YsLBbXB8UJ38EwDOrr69EMx1YBh9A0eUNP//aRCFfJnMZpzoh0cKcYPNK7NZISo1wehRFa/QDC00R6fI9Hq7dPP/00ZsyYgdzcXPTv3x8A8NNPP+Htt9/mrK0SBOEb9p7JR3mt0WE47doliJbFI2P63nvvQafT4f3330deXh4AID4+HvPnz8fLL7/s1QwSBNEA65whv6IOb27PcRjPV7t2CYJwjEfGVCwW45VXXsErr7yCyspKAKCNRwThQ9x1zuCNXbt0oTdBNB2Pb40xmUz44YcfkJubi8mTJyMsLAw3b96ERqMRzDVMjgjkozFGoxHFxcWIjo6GTOZ8TS1YEJqmpupx1zlDc6d24z3ctSu0+gGEp4n0cPFFH+6RMb1y5QpGjhyJq1evwmAw4Pz58+jQoQNefPFFGAwGfPLJJ17JXKASyMaUEBZmC4N7VmT4bET60tA70C5aTRd6E7cVvujDPdrN++KLL6Jfv34oKytDSEiI9fmjjz6K77//3isZIzyjoqIC27dvR0VFhb+z4jWEpskdPWYLg8zcEnyw97xPDGm8VolPkvvixaGd3N616wih1Q8gPE2kx/d4tGb6448/4siRI5DL5Zzn7dq1w40bN7ySMcIzamtrcfz4cfTt2xdardbf2fEKQtPkSk9TnNe7a0jH9WmFx/omoLjG4PVRqNDqBxCeJtLjezwyphaLBWaz2e759evXERYW1uxMEcTtSlOc17trSCNUMrw7oTdN4RKED/Fomnf48OH417/+Zf1bJBKhuroaixcvxkMPPeStvBHEbUVTnNe7a0hFAJaP60mGlCB8jMfnTEeOHIlu3bpBr9dj8uTJuHDhAqKjo/HVV195O48EETTYXtTdlOnUY5dKvTq1G66S4e1xPcmnLkG0AB4Z04SEBPz666/4+uuv8euvv6K6uhozZszAlClTOBuSiJZHrVbj7rvvhlqt9ndWvEawaOJb6+Q7buJIjzvO65uy2eijSX0x6I5oz8Q0gWCpn6YgNE2kx/c0+WiM0WhEly5dsG3bNnTt2tVX+Qpo6GgMYYujtc6mXF/m6lq1pkzt6rRKHHp1CE3vEgQPAXE0RiaTQa93//onomWpr6/HtWvXUF9f7++seI1A1+RsrZN9tiT9DMyWhr8c6enfPhLxWiX4zF9TDCnQsl6MAr1+PEFomkiP7/FoA9Lf/vY3rFixAiaTydv5ccjSpUsxcOBAqFQqhIeH24WnpqZCJBLx/issLAQApKWlYdiwYYiJiYFGo0FSUhJ2797dYhpagpKSEnz++ecoKSnxd1a8RqBrcrXWyQDIq9Dj2KVSAI71SMQijL0z3s4oN2VqV6dVtvgl3oFeP54gNE2kx/d4tGb6888/4/vvv8eePXvQs2dPu3nrtLQ0r2SuMfX19ZgwYQKSkpKQkpJiF/7EE09g5MiRnGfTpk2DXq9HbGwsAODgwYMYNmwYli1bhvDwcKxZswZjxozBTz/9hD59+ng9z8TtgbsXddvGYx0zsJuVymoMWH3wEieOrSGdYWNIRWgw1tMHtcOwbjryYkQQfsIjYxoeHo7HHnvM23lxypIlSwA0jED5CAkJ4Wx+KioqQkZGBsfwNj7OAwDLli3D1q1bkZ6eTsaU8Bh3ryuzjTcj9Wecq7r1ExSLwBmV2hrSF6b8E7md+gGVt4yyzkN/ugRBeJcmGVOLxYJ3330X58+fR319PYYMGYI33ngjIHfwrlu3DiqVCuPHj3cYx2KxoKqqCpGRzq+bMhgMMBgM1r/Zm3Ly8/NRU1Njfa5UKhEREQGTyYSioiK7dOLjGzq84uJiGI3cuyjDw8MREhKCmpoaa/oscrkcUVFRsFgsKCgosEs3NjYWEokEpaWlKC4utn4HAISFhSE0NBR1dXUoLy/nfE4qlSImJgYArFfpNYZ1Il1eXo66ujpOmFqthkajgcFgQGlpKSdMLBYjLi4OAFBQUGB3YXxkZCQUCgUqKys55Qc0vBSFh4dbHVk31lJcXGwtw6KiIrtlBrYMq6urUVVVxQlTKBSIjIyE2Wy2Tvs3Ji4uDmKxGCUlJXbrMBqNBmq1mrcMZTIZ+rePQrxWifpK+ymnciYEFojRXgMkKA3Iy8vD91kXAABV1dUAwiGDGRrRHwbyj0Gl2GTG8i0f/GFIZZgz/hX8Et8ebz3YCmIRUCMOQXxEGLpESaGvq+XUn0qlglar5ZQhi0gkgk6nc1iGERERUCqVvGXItm/bMmS/g93LyFeGWq0WKpUKtbW1di7g2PbNMAzy8/PtypBt32VlZXb7Ndj2rdfrUVZWxglr3L7z8/PtLpJm23dFRQVqa2s5YdXV1QAaNlza/jYat+/CwkI7BzZs+66qqrKmw+KvPoL9Ddp+DgjOPoLFtn0DcLuP8DZNMqZLly7FG2+8gaFDhyIkJAT/93//h6KiInz++edez1hzSUlJweTJk50a+vfeew/V1dV4/PHHnaa1fPly68i4MWvWrIFSeWu00bNnT4wbNw6VlZVYvXq1XfzFixcDALZu3Yrr169zwh599FH06tULp0+fxs6dOzlhiYmJSE5OhtFo5E133rx5UKvV2L17N86fPw/g1lT78OHDkZSUhIsXL2LTpk2cz+l0OjzzzDMAGsrLtlOYPXs2YmNjcfDgQWRlZXHCBg0ahKFDhyIvLw9r167lhIWFhWHu3LkAgPXr19t1ylOnTkW7du1w7NgxHD58mBPWp08fjB07FmVlZXZat2zZgp49e1r12Xa848ePR/fu3XHy5Ens2bOHE9apUydMmjQJer2etwwXLFgAhUKBnTt3Ijc3lxM2atQo9O/fHxcuXMDmzZs5YW3atMGMGTOweEw3/PStfbrf6nugilFinK4cKZ99yglrKy3HTWM4YsTVGKG4YH0uMZnw6Leb0D33LPRSOb6YNAXxiVKMRQ6O7Wq4x3T69OlISIjC7t27cfQodwdwv379MHr0aBQXF9tplcvlWLhwIQBg48aNdh36xIkT0blzZ2RlZSEjI4MT1q1bN0yYMAE1NTW8ZciSnp6OK1eucJ6NGTMGffv2xdmzZ5Gens4th7ZtMW3aNJjNZt50X3rpJWg0Guzbtw9nzpzhhA0ZMgSDBw/GlStXsGHDBk5YTEwMnnvuOQANv1VbAz9r1izEx8fj0KFDOH78OCesV69eUKlUKCsrw5YtWzhhKpUK8+fPBwBs2LDBzohPmTIFHTt2xC+//IIDBw5wwvzVR0ydOhUqlQqZmZl2dROMfcSAAQOgVCrtlhQlEgkWLVoEwHkfYduOvEGTjsbccccdmDdvnrVw9+3bh9GjR6Ourg5icdP3Mi1YsAArVqxwGicnJwddunSx/p2amoo5c+bYvUE1JjMzEwMHDsTx48dx11138cb58ssvMXPmTGzduhVDhw51mge+kWlCQgLOnTvHcZ8YCCPTxvkEgvOt03Zk2phAHJlGRzec5fz2x5NYffAiiqtv1YEyLAKvje2BAa2V0Ov1+O1aOf6++SQAoJaRoQ5yzshUZjLinc0rcW/uCetmo5z2nSD+YwJ42aM90SshHFFRUZDL5bxl2NIjUxadTgeRSCSIkSnbvuvr6+02uQTjyJT6iAbYMrx58yZat27tvyvYFAoFfv/9dyQkJFifKZVK/P7772jTpk2Tv7yoqMjlbqwOHTpwHOq7Y0xnzJiBEydO2L0psWzYsAHTp0/Hxo0bMXr06Cbnm86ZEo5w5QFpa/YNvLghm/ezznbtNvfsaHM8MxGE0PBFH96kaV6TycSZ1gQa3sxt36DcJSYmxvrW4y2qq6vxzTffYPny5bzhX331FaZPn44NGzZ4ZEgDncLCQmzYsAETJ0607mIOdoJJk0QsQlJilMPw2DAlwkV1eFD+O76v74hypmEZwpUhBTw/O+quZyZPCab6cRehaSI9vqdJxpRhGEybNg0KhcL6TK/X49lnn+Ucj/HF0ZirV6+itLQUV69ehdlsRnZ2NgCgY8eOCA0Ntcb7+uuvYTKZkJycbJfGl19+ialTp+LDDz/EgAEDrFNKISEhAXONT3Mxm80oKyvjvdUnWBGSpv7tIxEXKoPGZIAEDVNbtob0r+Nfx5G2va2fac6OXUeemfIr9Jj9xQmvnEkVUv2wCE0T6fE9TTKmU6dOtXvGZ7R8weuvv85ZxGaPsuzfvx/333+/9XlKSgrGjRvH69hh9erVMJlM+Nvf/oa//e1v1udTp051eOSGIADvTZNKxCL8dXAHnNmfDYD/HOmUhdPxN7W82d/lyjOTCA2emYZ109GUL0E0kyYZ0zVr1vgqHy5JTU11y+AdOXLEYdgPP/zgvQwRtw3enCbddSoPn/14EQPRsNno4y3vWQ3p/KfewpMvJXvtzGhTPDM5m5omCMI1HrkTJIjbBXaa1NYosdOku07Z73B0lVZxtQESkwnvbF7JWSMd9eIUrzpf8NQzE0EQTYeMqcCIjIzElClTXDqiCCb8pcnVNCkD4B+bT6HeZOGJ4TgtvVGC+zds5xx/yWzXG29uz7E6w/cGnnpmairU5gIf0uN7yJgKDIVCgY4dO3I2iQU7/tLkzmXdJTX1uHv5PpcjVDYtucmID7eswD2/Z3F27do6w/cGzm6hARrWTOO1DWuyzYHaXOBDenwPGVOBUVVVhR9++MHuwH0w4y9N7k5/ltYYXU75FlbpOZuNDFIZZj/2d7vbX7w55SoRi7B4TDcAsDOo3ryqjdpc4EN6fA8ZU4FRXV2NAwcO+MT3pL/wl6amTn82vrPUlji5qNGuXRm+njwJv7Xv2uzvdMXIHvFYldwXOi03XW9e1UZtLvAhPb7Ho1tjCOJ2gJ0mza/Q866bNsbpzliDAQNeeQaiPzYbzRn/CuI7SIFGg1DWw1Fzp1z5GNkjHsO66cgDEkH4EBqZEoQDGk+TusveMza+ZQ0GYPx4iLZvg1mhxIzHXsfP7XpyonhzytURrGemR3q3RlJiFBlSgvAyZEwJwgnsNGmkWu46MoDPD1++tXb6hyHFtm2AUgnJ9m14ctF0RIdyN014c8qVIAj/QNO8AkOpVKJnz552PpSDGX9rGtkjHkO6xOHu5ftQWuPcD7XVq1BiBCSPT7AaUmzbBjz4IEYC6Bc/GGnbavFqx15I0MUE/ZSrv+vHFwhNE+nxPU26NYZogG6NuT1ZvuMM/nvwkst4cpMRR0+sQuT+PRxDShBEYOCLPpymeQWGyWRCaWmp3T1+wUwgaNp1Kg+r3TSkH29Z5tSQBoIebyI0PYDwNJEe30PGVGAUFRXh3//+N+/Fw8GKvzU584TUmMbnSC0KxyNSf+vxNkLTAwhPE+nxPWRMCcIF7nhC4jpkkINJT6epXYK4jSBjShAOMFsYZOaWYKcLV4G216j9uup/kAwb2kK5JAgiEKDdvMRti7M7SvmuXePD1pDuWLoakn6DkJlbEvS7dAmCcB8ypsRtiaM7Sl8b3RUXCqvxwb4LLtOwNaQvP/kmtpdGAxuyrel5cucpQRDBBx2N8QA6GhPcsPeKNqfh2xpS9vaXxrBjUnLIQBCBBR2NIYhm4u7OXGfYGtIXpvzTzpACsH6HMwf4BEEIAzKmAqO4uBgpKSkoLi72d1a8hjc1ubMz1xm2x19+T/kKe3Q9HMbnu6dUaHUkND2A8DSRHt9DxlRgGI1GXL9+HUajc7d3wYQ3NTXnvlBbQyrevg25vQY0+XuFVkdC0wMITxPp8T1kTInbCk/vC7Wd2mXPkbqbnrfvKSUIIrAgY0rcVrB3lDblwIqtId2+dLX1HKmr9ERo2NXri3tKCYIIHMiYErcVje8odceg8u3afbMu3nrNmrP0WuKeUoIgAgM6GuMBgXw0pq6uDhcuXMAdd9yBkJAQf2fHK/hCkztOGZwdfxGBe+TF0blVvnOmQqsjoekBhKeJ9HDxRR9OxtQDAtmYEu5j6wGppMqAF77OgoVxfY5UhIZLvQ+9OsQ66nTmUYkgiMCBzpkSLqmpqcGxY8dQU1Pj76x4DV9pkohFSEqMwiO9WyMpMQoP926F/0zq65ZDBr4jL7bpOTKkQqsjoekBhKeJ9PgeMqYCo7KyEjt37kRlZaW/s+I1WlLTQ50jcej4R04NaWM8OWojtDoSmh5AeJpIj+8h37wEwWIwAOPHI/bAPpgVSkz/yyKnhhSgIy8EQTRAxpQgAKshxbZtgFIJfJeOS8dFEFXoeV0PsmumdOSFIAiApnkJAcLeQ7o1+wYyc0tc+8W1NaTbtkEybCgdeSEIwm2CxpguXboUAwcOhEqlQnh4uF14amoqRCIR77/CwkK7+IcPH4ZUKkXv3r19n/kWRC6XIzExEXK53N9Z8RpN0bTrVB7uWZGBSZ8exYsbsjHp06O46829+HDfBX6jymNI8eCDAICRPeKxKrkvdFruVK5Oq2zWTTBCqyOh6QGEp4n0+J6gORqzePFihIeH4/r160hJSUF5eTknvK6uDhUVFZxn06ZNg16vxw8//MB5Xl5ejrvuugsdO3ZEQUEBsrOzm5QXOhoTmLi6Wi1cJcPb43reMoJODGlj6MgLQQgLX/ThQbNmumTJEgANI1A+QkJCOId3i4qKkJGRgZSUFLu4zz77LCZPngyJRIItW7b4Irt+w2KxwGg0QiaTQSwOmokHp7ijyZ2r1cprjXj2ixP4JLkvRt4R6ZYhBW4defEWQqsjoekBhKeJ9PiewMiFD1i3bh1UKhXGjx/Peb5mzRpcvHgRixcv9lPOfEtBQQHefvttFBQU+DsrXsNWE9+aaFOuVlu2ORvMY+4ZUl8gtDoSmh5AeJpIj+8JmpFpU0lJScHkyZM5o9ULFy5gwYIF+PHHHyGVui/dYDDAYDBY/2bPNuXn53MODSuVSkRERMBkMqGoqMgunfj4hunF4uJiu6uDwsPDERISgpqaGruzU3K5HFFRUbBYLLyNJzY2FhKJBKWlpdb7/dj/hoWFITQ0FHV1dXZT41KpFDExMQCAvLw8u3Sjo6Mhk8lQXl6Ouro6TpharYZGo4HBYEBpaSknTCwWIy4uDkBDo7dYLJzwyMhIKBQKVFZW2h26DgkJQXh4OIxGo52W4uJi/FrScNl2bWUZpGhINzpUgUEdoyCHCfWQQgkj1KJ6Trr1kKCKUUJhMuCttUshyj0BRqlE6dq1qO/WDXEWC8RiMUpKSlBfz/2sRqOBWq3mLUOZTIbo6GiHZRgTEwOpVIqysjLo9XqOntraWgDgLUOJRILY2FiHZRgVFQW5XM5bhiqVClqtllOGLCKRCDqdDkDD7I3JZOKER0REQKlUorq6GlVVVZwwtn2bzWbOPgT2O9gVI74y1Gq1UKlUqK2ttVuOYds3wzDIz8+HLWz7blyGLGz71uv1KCsr44Q1bt/5+fmwXdFi23dFRYW1Lliqq6sBNFz1ZVuvjdt3YWEhzGYzJ5xt31VVVdZ0WPzVR7Dth+9cZjD2ESx895myZcjXvtkytK0Xb+BXY7pgwQKsWLHCaZycnBx06dKlSelmZmYiJycH//vf/6zPzGYzJk+ejCVLlqBTp05NSm/58uXWaebGrFmzBkrlrc0pPXv2xLhx41BZWYnVq1fbxWdHw1u3bsX169c5YY8++ih69eqF06dPY+fOnZywxMREJCcnw2g08qY7b948qNVq7N69G+fPnwcApKWlAQCGDx+OpKQkXLx4EZs2beJ8TqfT4ZlnngHQ8PJh2ynMnj0bsbGxOHjwILKysjhhgwYNwtChQ5GXl4e1a9dywsLCwjB37lwAwPr16+065alTp6Jdu3Y4duwYDh8+zAnr06cPxo4di7KyMjutmzdvwZravmAAjFVcQpT4jw7QBDBngVbiDrhsiUSitAT9ZdzyvWrW4sfadli1ZTnuzT0Bo1SKrx5/HJdycoCcHCxYsAAKhQI7d+5Ebm4u57OjRo1C//79ceHCBWzevJkT1qZNG8yYMQMAeOvm+eefR2RkJPbv34+TJ09yws6cOYPExERcu3YN69ev54RFRETghRdeANAwy2Lb2U+fPh0JCQnIzMzE0aNHOWH9+vXD6NGjUVxcbJcnuVyOhQsXAgA2btxo16FPnDgRnTt3RlZWFjIyMjhh3bp1w4QJE1BTU8Orle0Q09PTceXKFU7YmDFj0LdvX5w9exbp6emcsLZt22LatGkwm8286b700kvQaDTYt28fzpw5wwkbMmQIBg8ejCtXrmDDhg2csJiYGDz33HMAGn6rtgZ+1qxZiI+Px6FDh3D8+HFOWM+ePQEApaWl2Lp1KydMpVJh/vz5AIANGzbYGfEpU6agY8eO+OWXX3DgwAG7dP3RRzz55JMAgCNHjuDq1aucsGDsI/785z8DuNXPsUgkEixatMgaZvtyNn78eHTv3t2uHXkDv25AKioqQklJidM4HTp04OzYSk1NxZw5c+zeoBozY8YMnDhxglO55eXliIiIgEQisT6zWCxgGAYSiQR79uzBkCFDeNPjG5kmJCTg3LlzCAsLsz4PhJHpjRs3kJaWhnHjxiE6Ojoo3zr5RqZpaWn4VdIJJ6obNgtoRXXWkSlLNaOAwcHIlDFZ8M7mlX94NpLh5L8+QZtxo6zhcXFxLToyTUtLQ3JyMhITEwUxMk1LS8PMmTPRqlUrwYxMv/zySzz99NOQyWScsGAdmX722WeYOHGi3YabYOwj6urqsHr1ams/1xh3RqY3b95E69athbMBKSYmxlpR3qK6uhrffPMNli9fznmu0WjsRgYff/wxMjIysGnTJrRv395hmgqFAgqFwu65TqfjrQipVGqtUD5sK78xarUaarWaN0wsFjtNNzIy0mr0o6OjOXFtN2jZ4izd8PBw3uNIQEPZOPss+4PhQ6PROGzIMpnMLt0rNbdehCoYx1r0kEHP3OoA+XztJg8eiT/z5DsqyvFGo+aUYUREhN0zlUoFoGXLsDHOfnuhoaEIDQ3lDZNIJLzpikQNO5ydlaFKpbLq5vt8U8uQRalUOv0s+wLBh1arhVar5TxjDYerMmRfePgICwvjvGw3pqX7CFaPRqNx+L3B1Eewhtu2n2uMq/btbYLmaMzVq1dRWlqK7777Du+++y5+/PFHAEDHjh05BZOSkoL/9//+H/Ly8hxWLssbb7yBLVu2COpojNlshl6vh1Kp5IzCgxmz2Yy3tv6K1GM3wDRxz5wjp/XxNje+tCRCqyOh6QGEp4n0cLmtj8a8/vrrnHn3Pn36AAD279+P+++/3/o8JSUF48aNc2lIhYpEInH41hq0iMTYerrEa4YUuHXjS+MjLy11nlRodSQ0PYDwNJEe3xM0I9NAIpBHpqWlpdi9ezdGjBiByEhh+I39Pvsivkz7DseMCahi3HMs7841ah9O7I1HercG0LTLvZuL0OpIaHoA4WkiPVzoPlPCJQaDAefPn+dsmAp2Csur8CdJBeQwu44M9wwpcOvGF9Zzku051fwKPWZ/cQK7TtlvvGgOQqsjoekBhKeJ9PgeMqZEwBOpct//pjuGVISGUWf/9pFOPSexz5akn3HtLJ8giNsaMqZEwMJ6OiquqXcdGe4bUuDWjS+uPCcxuLW+ShAE4Yig2YBE3D6YLQz+k/E71hy+hPI6I6JENRjrYqmUz5D2fOpRXPo1j2MsdTbroIVV7rkgdDceQRC3J2RMBUZYWBiGDx/u8HxboLPrVB4WpJ1Eee2tA+s1jBzHjG1Qw9hP94pEgMzINaQvTvknnpr3FEb2iMcrI7s63aHLrpu6wt147hDsdWSL0PQAwtNEenwP7eb1gEDezRvM7DqVh2e/OOE0jghApFqORaO7QqcNwV06FarH/AWR+/fAKFfg3Kdfomvyo24faTFbGNyzIgP5FXredVMRGkaz/jqTShCE96HdvIRL6urqcPr0aTvXXoEOuxGIDzlMaCcuhRwmMABKauoRq1EiqU0o5BMfR+T+PYBSCdmO7ejx1LgmGT2JWITFY7oBuLWeymK7vuotgrWOHCE0PYDwNJEe30PGVGCUl5dj06ZNTn0XBxpmC4PUw5ccbgQKExnwgOIiwkS3tsHPWXsUhSMe9so1aiN7xGNVcl/otNypXJ1WiVXJfb1+zjQY68gZQtMDCE8T6fE9tGZK+A2zhcH/fX8en/14CTX17p0hBRo2Gy3ftAyxuT/DrFBC4oX7SEf2iMewbroW8YBEEITwIGNK+IVdp/Iw95tfUdsEIwrY79qdP+Wf+NcDQ+ANb6MSsYjjXpAgCMJdaJqXaFHMFgYf7juPZ7840WRDKuM5/pIe043OgBIE4XdoZCowpFIpdDodpNLAq9pdp/LwxndnkF/ZtDObJohRUS/His0f4L7cX+wcMgTbGdBAriNPEJoeQHiaSI/voaMxHkBHY5oO6//Wk8bmyrPRVzPvpulZgiDc5ra+go0IXswWBm98x+//1hXODCl7BrR/++C/BYMgiOCG1kwFRl5eHt566y3k5Xn3ppPm8J+MC02e2gW4htQolWLO+Fc5hhTw/hnQliAQ66g5CE0PIDxNpMf30MhUgJjNTdvY40t2ncrDB/suNPlz3BGpDN9MnoSfW/WwXuUSqZZj6aM9vH4GtKUIpDryBkLTAwhPE+nxLWRMCZ9htjBYkHayyZ+zndqdM/4VxHeQAo0Gt4tGdw1aQ0oQhPCgaV7CZxzNLeE4rHcHvjXSn9v1tIun04Z4K5sEQRDNhowp4TMO5xY1KX5TL/YmCIIIFOhojAcE8tEYo9GIsrIyREREQCaT+TUvj39yBMcul7mM1zFGjfkPtIN6yiTcc/aonSGVwIIwkQHVjAJmiH3iL7clCaQ68gZC0wMITxPp4eKLPpyMqQcEsjH1J2YLY/VtG61WYNqaYzBaXDcvucmIQ8c/QuyBfbAolMj8MBXHE/vgq2NXkV95y7l9vM3F3gRBEJ5A50wJl5SXl+PgwYO49957ER4e3mLfu+tUHpakn3F484sj2Knd2NyfwSiVYL5Lh7hDH7Sr0uP9Cb0BEXCzsBgVF0/i0YcGIioywjcCWhB/1ZGvEJoeQHiaSI/voTVTgVFXV4esrKwWu+evsa9dTw0pu0a6ecknuOe4CJM+PYoXN2RjSspPmLfxV4jNRtzIPYN6Q3C5DXRES9eRrxGaHkB4mkiP76GRKeExnvraBRxsNiqNBuf8C4D8Cj2W7cjBWCV/OgRBEIEAjUwJj2B97XrNkNrs2mVpvOKafa0cZjfWYAmCIFoaMqZEkzFbGCxJ976vXVcs2nwS96zIwK5TgeNCjCAIAiBjKjjUajUGDRoEtVrts+84dqm0yeujgOeGtI6R4TejDnWMDPkVesz+4kRQG9SWqKOWRGh6AOFpIj2+h47GeMDtfjRma/YNvLghu0mfac6I1Bb2tphDrw4JOif3BEH4H1/04TQyFRgGgwGXL1+GwWBwHdlDokMVTYrfXEMqhRk6cSWkaHBszQDIq9Dj2KXSJuUjUGiJOmpJhKYHEJ4m0uN7yJgKjNLSUqxduxalpT40NE2Yy2iqIeUbZ2pFeoxSnIdWxJ1aLqwKzqMyLVJHLYjQ9ADC00R6fA8ZU6LJuGvE3DWk8VolPknui0+S+0Kndf8MTGwYnZchCCIwCJpzpkuXLsX27duRnZ0NuVyO8vJyTnhqaiqefvpp3s8WFBQgNjYWQMP0wD//+U988cUXyM/PR3x8PF5//XVMnz7d1xIEQ2lNvcs4jgzpqB5xSB7QDhABxdUGxIY1OK1n1z6HddPhaG4J/vblCZTX8d84w66ZkrN7giAChaAxpvX19ZgwYQKSkpKQkpJiF/7EE09g5MiRnGfTpk2DXq+3GlIAePzxx1FQUICUlBR07NgReXl5sFgsPs+/kLhe5tzriCNDGqmW4z+T73K6aUgiFmHQHdF4+7GemP3FCbtw9pOLx3SjzUcEQQQMQWNMlyxZAqBhBMpHSEgIQkJu3XFZVFSEjIwMjuHdtWsXDhw4gIsXLyIysmFU065dO5/l2R+IxWKEhYVBLPbNDP6uU3lYc+Syw3BnU7tvPdLDbQM4skc8ViX3xZL0M9BX1qKGkcECEXQCcHbv6zpqaYSmBxCeJtLje4LuaExqairmzJljN81ry/vvv48333wTeXl5ViP73HPP4fz58+jXrx/+97//Qa1WY+zYsXjzzTc5htgVt+vRGLOFwaC3Mxx6PXJmSP86qB0Wjenu0XeyN9HYTgkTBEF4At0a0wRSUlIwefJkjpG8ePEiDh06BKVSic2bN6O4uBjPPfccSkpKsGbNGodpGQwGzhbsyspKAEB+fj5qamqsz5VKJSIiImAymVBUZH8xdnx8w2iquLgYRiN3PTA8PBwhISGoqamxps8il8sRFRUFi8WCgoICu3RjY2MhkUhQWlpqt1U8LCwMoaGhqKurs3sBkUqliImJAQDk5dk7QYiOjoZMJkN5eTmqa2rxf/vOw1hVgihRgyOFWsghhRlakR4ykxHvbFmJe3NPQC+VWQ1phKgWYjD4c5zY+h2RkZFQKBSorKzklB/QMMMQHh4Oo9GI4uJiAEA7FdBOJQZQbzWkRUVFMJlMvGVYXV2NqqoqTphCoUBkZCTMZjMKCwvttMbFxUEsFqOkpAT19dw1YY1GA7VazVuGMpkM0dHRDsswJiYGUqkUZWVl0Ou5LyGhoaEICwuDwWCw25UokUisyxMFBQV2SxFRUVGQy+W8ZahSqaDVajllyCISiaDT6QDwl2FERASUSiVvGbLt21EZ6nQ6iEQi3jLUarVQqVSora1FRUUFJ4xt3wzDID8/3y5dtn3zlSHbvvV6PcrKuHfnNm7f+fn5sB03sO27oqICtbW1nDC1Wg2NRoP6+nqUlJRwwsRiMeLi4gAAhYWFMJvNnHC2fVdVVaG6upoTJuQ+wtbpPFuGfO27cRnyte+m9hGNYcvQVR/hbfxqTBcsWIAVK1Y4jZOTk4MuXbo0Kd3MzEzk5OTgf//7H+e5xWKBSCTC+vXrodVqAQArV67E+PHj8fHHHzscnS5fvtw6zdyYNWvWQKm8taO0Z8+eGDduHCorK7F69Wq7+IsXLwYAbN26FdevX+eEPfroo+jVqxdOnz6NnTt3csISExORnJwMo9HIm+68efOgVquxe/dunD9/nhM2fPhwJCUl4eLFi9i0aRMnTKfT4ZlnngHQ8PJh2ynMnj0bsbGx+HLrLhRdPgc1YHU4/5tRh19MbRAtrsHDkjOYkPYNOueeh1EqxbpJT+JIq94AgGGKC1CLjDi6MwdH/0h36tSpaNeuHY4dO4bDhw9zvrNPnz4YO3YsysrK7LSKxWK89tprAIC0tDS7jnf8+PHo3r07Tp48iT179nDCOnXqhEmTJkGv1/OW4YIFC6BQKLBz507k5uZywkaNGoX+/fvjwoUL2Lx5MyesTZs2mDFjBgDwpvv8888jMjIS+/fvx8mTJzlhd911Fx5++GFcu3YN69ev54RFRETghRdeAACsW7fOrrOfPn06EhISkJmZiaNHj3LC+vXrh9GjR6O4uNguT3K5HAsXLgQAbNy40a5DnzhxIjp37oysrCxkZGRwwrp164YJEyagpqaGV+vMmTPRqlUrpKen48qVK5ywMWPGoG/fvjh79izS09M5YW3btsW0adNgNpt5033ppZeg0Wiwb98+nDlzhhM2ZMgQDB48GFeuXMGGDRs4YTExMXjuuecANPxWbQ38rFmzEB8fj0OHDuH48eOcsF69euHSpUt48MEHsWXLFk6YSqXC/PnzAQAbNmywM+JTpkxBx44d8csvv+DAgQOcMH/1EVOnTkVaWhoiIyPt6sYbfcTBgweRlZXFCRs0aBCGDh2KvLw8rF27lhMWFhaGuXPnAgDWr19v9+Lmqo8YMGAA7+9CIpFg0aJFAJz3EbbtyBv4dZq3qKjI7q3Plg4dOkAul1v/dmead8aMGThx4oRd5U6dOhWHDx/G77//bn2Wk5ODbt264fz587jjjjt40+MbmSYkJODcuXMICwuzPg+Et84bN24gLS0N48aNQ3R0dLPfOr8/V4x56zOhAPcNjx2Zqkx6fLJlmXVEOmf8q/ipXS+UMSoAsI5Mlz3aE70SwgE0/a2zuLjYqqlnz54AgntkyupJTk5GYmJi0I9MWT2sMRXCyLS6uhpffvklnn76achkMk5YMI5MLRYLPvvsM0ycONFuWjMYR6Z1dXVYvXq1tZ9rjDsj05s3b6J169bCmeaNiYmxVpS3qK6uxjfffIPly5fbhQ0aNAgbN25EdXU1QkNDAQDnz5+HWCxGmzZtHKapUCigUNh7/dHpdLwVIZVKrRXKh23lN0atVjv0NykWi52mGxkZaTX60dHRnLi2G7Rs4UuXdWhfzShQDXv9cpMR/7dlxR+G9I810ra9OU4dyhkVdFolhvbrYrfWqdFoHDZkmUxml6fG5eas3YSGhlrr1xaJROK0DKOiohyGeVKGLBER9peaq1QNLxwKhcLpZ9lOh4+mlmFjvF2GIlFD/TorQ5VKZdXN9/mmliGLUql0+ln2BYIPrVZrnaliYQ2HqzJsfFLAlrCwMM7LdmNauo9g9Wg0Goff25z2HR4e7vCSbl+0b9Zw2/ZzjXHVvr1N4GyFcsHVq1eRnZ2Nq1evwmw2Izs7G9nZ2XZvfl9//TVMJhOSk5Pt0pg8eTKioqLw9NNP48yZMzh48CDmz5+P6dOnN2kD0u2CM4f27jhkoGMsBEHcLgTNBqTXX3+dM+/ep08fAMD+/ftx//33W5+npKRg3LhxvG9JoaGh2Lt3L55//nn069cPUVFRePzxx/HWW2/5OvtBiSNPR44MqUIqhsF0a7pGCMdYCIIg3CHojsYEAoF8NMZgMCAvLw/x8fG8U9NNITO3BJM+5W5ucWRIw0OkOPaPYfjlSpnXj7F4U1MgQHoCH6FpIj1cfNGHkzH1gEA2pt7EbGFwz4oM5FfowcD51G64SoZfFg2j6VyCIAIeuoKNcEllZSX27dtnt9vPEyRiERaP6ebSkAJAea3RZ1eieVNTIEB6Ah+haSI9voeMqcCoqanB4cOH7baTe8rIHvGY2b+VW7e/+OpKNG9r8jekJ/ARmibS43uCZgMS4ScMBsz+zwJEunEfKV2JRhDE7QoZU8IxBgMwfjwi9++BQSrHDAeGlK5EIwjidoeMKcHPH4YU27YBSiV+/fdaHPldDRE4PhnoLClBEARozVRwhISEoE+fPs1zQmFjSLFtG/r/9XGsSu4LnZY7lavTKrEqua9Pz5J6RVMAQXoCH6FpIj2+h47GeICgj8bwGFI8+KA1mK5EIwgi2KEr2AiXGI1GlJWVISIiws5Bt0tcGFKg4bhMUqJj36u+oFmaAhDSE/gITRPp8T00zSswiouLsWrVKt57/pzihiH1Fx5rClBIT+AjNE2kx/eQMSUC2pASBEEEA2RMb3fIkBIEQTQbMqa3M2RICYIgvAIZUwEikUhcRwoyQ+qWpiCC9AQ+QtNEenwLHY3xgKA/GhNkhpQgCMKb0K0xRPMhQ0oQBOF1yJgKjKKiIvz3v/9FUVGRfWCQGlKnmoIQ0hP4CE0T6fE9ZEwFhslkQn5+PkwmEzcgSA0p4ERTkEJ6Ah+haSI9voeM6e1AEBtSgiCIYICMqdAxGMA81mBIzQoFTq/+EuYHhvg7VwRBEIKCjKmQMRhQOOJhiLZvg14qx5N/eQ2jT8txz4oM7DqV5+/cEQRBCAY6GuMB/jwa4+rWlrq6Oly8eBEdWrdG1V8mIPbAPuilckxvdLE3G9vXV6d5C6umDh0C6solTyE9gY/QNJEeLr7ow8mYekBLG1PWgO47k4/N2TdQWmO0hsVrlVg8phvXKP4xtcuOSBsbUhYRGu4iPfTqELpCjSCI2wo6Z3obsutUHu5ZkYFJnx5FyuHLHEMKAPkVesz+4oR12ra6pASlDz7o1JACAAMgr0KPY5dKW0BF86iurkZmZiaqq6v9nRWvQHoCH6FpIj2+h4xpALPrVB5mf3ECeRV6h3HYaYUl6WdgrtNDOnEiIg8fhkmucGhIG1NY5TjtQKGqqgp79uxBVVWVv7PiFUhP4CM0TaTH99Dl4H6m8RpodKgCYIDiGgOi1Qq88d0ZuDMHzwAoKalCxehHELl/H4xSKbJXfowj1+JcfjY2TNlsDQRBELc7ZEz9yK5TeViSfsbpyNMd5CYjPt6yDJG5P4NRKvHV449jyF9GIn5dDvIr9LwGmV0z7d8+slnfTRAEQdA0r99wZwrXHVhDOjT3Z1gUSpSuXYtLHTpAIhZh8ZhuAG7t3mVh/148phttPiIIgvACZEz9gNnCYEm6e1O4zmhsSA1SOZj0dIiGDkWnTp2gUCgwskc8ViX3hU7LncrVaZVBcywGABQKhVWTECA9gY/QNJEe30NHYzyguduqM3NLMOnTo83KQ2NDqpfK8duq/6H/Xx/njevqbCpBEMTthC+OxtCaqR9o7g5aW0O6Y+lqjPvDkJrNZuj1eiiVSuvluRKxCEmJUc3Ot7/g0xTMkJ7AR2iaSI/vCZpp3qVLl2LgwIFQqVQIDw+3C09NTYVIJOL9V1hYaI23fv163HnnnVCpVIiPj8f06dNRUlLSgkqAS0Wen42yNaTznnoTj8x7yhpeWFiI9957j6M52BGaJtIT+AhNE+nxPUFjTOvr6zFhwgTMnj2bN/yJJ55AXl4e59+IESNw3333ITY2FgBw+PBhPPXUU5gxYwZOnz6NjRs34tixY5g5c2aL6TBbGPw743ePPmtrSGc89joefulJmrIlCILwM0EzzbtkyRIADSNQPkJCQjg+GouKipCRkYGUlBTrs8zMTLRr1w4vvPACAKB9+/Z45plnsGLFCt9l3IZD54tg9mCV2taQvjD5n3hy/lNBs4mIIAhCyATNyLSprFu3DiqVCuPHj7c+S0pKwrVr17Bjxw4wDIOCggJs2rQJDz30UIvla/WPF5v8GVtDOv2x1zH1tRlkSAmCIAKEoBmZNpWUlBRMnjyZM1odNGgQ1q9fjyeeeAJ6vR4mkwljxozBRx995DQtg8EAg8Fg/buyshIAkJ+fj5qaGutzpVKJiIgImEwmFBUV2aUTHx+PmxV10Ij0kMHMCatiFKiHFAoYESqqtz6XmYxYseUD3Jf7C/RSOeaMfwXFPbqjbUg98vIa/PHGxsZCIpGgtLQUxcXFAGD9b1hYGEJDQ1FXV4fy8nLOd0qlUsTExACANa3GREdHQyaToby8HHV1dZwwtVoNjUYDg8GA0lKuf1+xWIy4uAbvSwUFBbBYLJzwyMhIKBQKVFZWcsoPaJhhCA8Ph9FotNNSXFyM+PiGF4iioiKYTCbOZ8PDwxESEoLq6mo7N2MKhQKRkZEwm8286yxxcXEQi8UoKSlBfX09J0yj0UCtVvOWoUwmQ3R0NAD+MoyJiYFUKkVZWRn0ej1HT21tLQDwlqFEIrEuT/CVYVRUFORyOW8ZqlQqaLVaThmyiEQi6HQ6APxlGBERAaVSyVuGbPu2LUP2O9iDAXxlqNVqoVKpUFtbi4qKCk6YXC5HVFQUGIZBfn4+bGHbd+MyZGHbt16vR1lZGSescfvOz8+H7cEFtn1XVFRY64KF9flqNBrt6rVx+y4sLITZzP0ts+27qqrKznesO30E0FCmRiPXDzfbvmtqaqx9EAtbhhaLBQUFBXbpsu3H9nNAcPYRLLbtG4DbfYS38asxXbBggcsp1pycHHTp0qVJ6WZmZiInJwf/+9//OM/PnDmDF198Ea+//jpGjBiBvLw8zJ8/H88++yxnOtiW5cuXW6eZG7NmzRoolbfOcPbs2RPjxo1DZWUlVq9ebRd/8eLFiNco0K3qEmLF3AZyoL49Lpqj0F5ShiT5VQCAxGTChLRv0Dn3PPRSOWY9tgiJXSyIN/2KlM9+tX523rx5UKvV2L17N86fPw8ASEtLAwAMHz4cSUlJuHjxIjZt2sT5Tp1Oh2eeeQZAw8uHbacwe/ZsxMbG4uDBg8jKyuKEDRo0CEOHDkVeXh7Wrl3LCQsLC8PcuXMBNGz4su2Up06dinbt2uHYsWM4fPgwJ6xPnz4YO3YsysrK7Mpw69at6Nmzp1Wfbcc7fvx4dO/eHSdPnsSePXs4YZ06dcKkSZOg1+t562bBggVQKBTYuXMncnNzOWGjRo1C//79ceHCBWzevJkT1qZNG8yYMQMAeNN9/vnnERkZif379+PkyZOcsKtXryIxMRHXrl3D+vXrOWERERHW5Yh169bZdfbTp09HQkICMjMzcfQo95hVv379MHr0aBQXF9vlSS6XY+HChQCAjRs32nXoEydOROfOnZGVlYWMjAxOWLdu3TBhwgTU1NTwamVfKtLT03HlyhVO2JgxY9C3b1+cPXsW6enpnLC2bdti2rRpMJvNvOm+9NJL0Gg02LdvH86cOcMJGzJkCAYPHowrV65gw4YNnLCYmBg899xzABp+q7YGftasWYiPj8ehQ4dw/PhxTtiAAQOwYMECFBQU2OVJpVJh/vz5AIANGzbYGfEpU6agY8eO+OWXX3DgwAFOmDt9BNDQ1q9fv84Je/TRR9GrVy+cPn0aO3fu5IQlJiYiOTkZRqORN925c+diwYIF+Pbbb3HhwgVOWDD2EQ8//DBmzJhh129LJBIsWrQIgPM+wrYdeQO/njMtKipyuZO2Q4cOkMvl1r9TU1MxZ84cuzeoxsyYMQMnTpywq9wnn3wSer0eGzdutD47dOgQBg8ejJs3b1rfaGzhG5kmJCTg3LlzCAsLsz539db5awmwMO0kzHVVLkemMpMR72xeiXtzT1indn/rfBeWDG2NgR2jOZ9tPDJtnE8gON86bUemjRHCyJQlNDQUYWFhQT8yZdHpdBCJRIIYmbLtu76+3q6PCsaRKfURDbBlePPmTbRu3fr2vs/UlTGtrq5GfHw8li9fjv/3//4fJ+yxxx6DVCrF119/bX2WmZmJgQMH4saNG2jVqpVbefDkwC/rPtCdwuZbI83p1g8//X0Y5FLny9wlJSXYuXMnRo0ahaio4D1b2hihaSI9gY/QNJEeLre104arV6+itLQUV69ehdlsRnZ2NgCgY8eOCA0Ntcb7+uuvYTKZkJycbJfGmDFjMHPmTKxatco6zTtnzhz079/fbUPqCU1xH8hnSI+0641PxvVyaUiBhiNEubm5diODYEZomkhP4CM0TaTH9wSNMX399dc58+59+vQBAOzfvx/333+/9XlKSgrGjRvH69hh2rRpqKqqwn/+8x+8/PLLCA8Px5AhQ3x+NObYpVK3HNrzGdLjHfvik4m9aecuQRBEABM0xjQ1NdXhGdPGHDlyxGn4888/j+eff95LuXIPd9wH8hnSS3cOQM6rD5JTBoIgiAAnaIxpMOPqAm4+Q3qm65/xCxlSgiCIoECwThsCif7tIxGvVdrdKwrwG9LMdr3x9mM9PTKkGo0Go0aN8tqieiAgNE2kJ/ARmibS43uCbjdvINCc3bwArBuR+Kd278biMd1ojZQgCMJH+GI3L41MWwjbi7obG1KTXIFf/rMOzy99FodeHdIsQ1pXV4fffvvN7sxXMCM0TaQn8BGaJtLje8iYtiAje8Tj0KtDsOGpPjj480cYmvszGKUS0h3bMeiZJ5CUGNXsNdLy8nJs3rzZqVOLYENomkhP4CM0TaTH99AGpBZGYjbh7lefAQ7uA5RKiLZtAx580N/ZIgiCIJoBjUxbGqkU6NABUCoBMqQEQRCCgIxpSyMSAf/6F5CVRYaUIAhCIJAx9QciEdDEm3DcRSaToU2bNpDJZD5J3x8ITRPpCXyEpon0+B46GuMBvthWTRAEQbQMdDSGIAiCIAIQMqYCIy8vD0uWLOG9ezBYEZom0hP4CE0T6fE9ZEwJgiAIopmQMSUIgiCIZkLGlCAIgiCaCRlTgiAIgmgmdDTGAwL5aIzJZEJlZSU0Gg2kUmF4ixSaJtIT+AhNE+nh4os+nIypBwSyMSUIgiCcQ+dMCZeUlZUhLS0NZWVl/s6K1xCaJtIT+AhNE+nxPWRMBYZer8fJkyeh1+v9nRWvITRNpCfwEZom0uN7yJgSBEEQRDMhY0oQBEEQzST4t3X5AXbPVmVlpZ9zYk9VVRX0ej2qqqqgVqv9nR2vIDRNpCfwEZom0sOF7bu9uf+WdvN6wPXr15GQkODvbBAEQRDN4Nq1a2jTpo1X0iJj6gEWiwU3b95EWFgYRCKRv7PDobKyEgkJCbh27Zpgju0ITRPpCXyEpon0cGEYBlVVVWjVqhXEYu+sdtI0rweIxWKvvc34Co1GI4gfTWOEpon0BD5C00R6bqHVar2aF9qARBAEQRDNhIwpQRAEQTQTMqYCQ6FQYPHixVAoFP7OitcQmibSE/gITRPp8T20AYkgCIIgmgmNTAmCIAiimZAxJQiCIIhmQsaUIAiCIJoJGVOCIAiCaCZkTAOcpUuXYuDAgVCpVAgPD7cLT01NhUgk4v1XWFgIAJg2bRpvePfu3R1+7+XLl3k/c/ToUb/r+eGHH3jD8/PznX73b7/9hsGDB0OpVCIhIQHvvPNOs7R4U1NaWhqGDRuGmJgYaDQaJCUlYffu3U6/N5DrCGiop759+0KhUKBjx45ITU11+d3+qiOW1NRU9OrVC0qlErGxsfjb3/5mDXvjjTd4NbvyDcv3mQ0bNvhdj6ft5+rVqxg9ejRUKhViY2Mxf/58mEwmv+v54Ycf8MgjjyA+Ph5qtRq9e/fG+vXrXX63t+qHPCAFOPX19ZgwYQKSkpKQkpJiF/7EE09g5MiRnGfTpk2DXq9HbGwsAODDDz/E22+/bQ03mUy48847MWHCBJffv2/fPo7RjYqK8lQKAO/oYTl37hzH+4lteGMqKysxfPhwDB06FJ988glOnjyJ6dOnIzw8HLNmzfK7poMHD2LYsGFYtmwZwsPDsWbNGowZMwY//fQT+vTp4/T7A7GOLl26hNGjR+PZZ5/F+vXr8f333+Ovf/0r4uPjMWLECN7v9WcdAcDKlSvx/vvv491338WAAQNQU1ODy5cvW8PnzZuHZ599lvOZBx98EH/+859dfv+aNWs4ZebMYLiDN/SwNKX9mM1mjB49GjqdDkeOHEFeXh6eeuopyGQyLFu2zK96jhw5gl69euHVV19FXFwctm3bhqeeegparRYPP/yw0+/3Sv0wRFCwZs0aRqvVuoxXWFjIyGQyZt26dQ7jbN68mRGJRMzly5cdxrl06RIDgMnKyvIgt65pjp79+/czAJiysjK3v+/jjz9mIiIiGIPBYH326quvMp07d25Ktp3izTpiGIbp1q0bs2TJEofhgVxHr7zyCtO9e3dOvCeeeIIZMWKEw3T8WUelpaVMSEgIs2/fPrfTys7OZgAwBw8edBoPALN58+Ym5tQ9mqPHk/azY8cORiwWM/n5+dZnq1atYjQaDafePMWb9cMwDPPQQw8xTz/9tNM43qofmuYVGOvWrYNKpcL48eMdxklJScHQoUPRtm1bl+mNHTsWsbGxuOeee/Ddd995M6tu4UxP7969ER8fj2HDhuHw4cNO08nMzMS9994LuVxufTZixAicO3cOZWVlXs+3M9ypI4vFgqqqKkRGRrpMLxDrKDMzE0OHDuXEGzFiBDIzMx2m48862rt3LywWC27cuIGuXbuiTZs2ePzxx3Ht2jWHn/nss8/QqVMnDB482GX6f/vb3xAdHY3+/fvj888/9+rVX3w0RU9T2k9mZiZ69uyJuLg467MRI0agsrISp0+f9roOFk/qBwAqKirc+g15o37ImAqMlJQUTJ48GSEhIbzhN2/exM6dO/HXv/7VaTqhoaF4//33sXHjRmzfvh333HMP/vKXv7R4Z82nJz4+Hp988gm+/fZbfPvtt0hISMD999+PEydOOEwnPz+f0wEAsP7taq3V27iqIwB47733UF1djccff9xhnECuI0flXVlZibq6Ot50/FlHFy9ehMViwbJly/Cvf/0LmzZtQmlpKYYNG4b6+nq7+Hq9HuvXr8eMGTNcpv3Pf/4T33zzDfbu3YvHHnsMzz33HP7973/7QoYVd/R40n78VUdNrR8A+Oabb/Dzzz/j6aefdpq21+qn2WNbosm8+uqrDACn/3JycjifcWfK7ciRIwwA5vjx4w7jLFu2jImKivJoSubJJ59k7rnnnoDSw3LvvfcyycnJDsOHDRvGzJo1i/Ps9OnTDADmzJkzAaVp/fr1jEqlYvbu3es0LT4CpY7uuOMOZtmyZZxn27dvZwAwtbW1vGn5s46WLl3KAGB2795tfVZYWMiIxWJm165ddvG//PJLRiqVcqY73eW1115j2rRpE1B6WBy1H5aZM2cyw4cP5zyrqalhADA7duwIGD0ZGRmMSqVi1q5d61CLIxzVjytoA5IfePnllzFt2jSncTp06NDkdD/77DP07t0bd911F284wzD4/PPP8eSTT3Km0txlwIAB2Lt3r91zf+lpTP/+/XHo0CGH4TqdDgUFBZxn7N86nc4uvr80bdiwAX/961+xceNGu2lSdwiUOnJU3hqNxuGI3J91FB8fDwDo1q2b9VlMTAyio6Nx9epVu/ifffYZHn74YbtRmjsMGDAAb775JgwGA8e3rD/1NM4bX/th0el0OHbsGOeZozryl54DBw5gzJgx+OCDD/DUU0+5lX5jHNWPK8iY+oGYmBjExMR4Nc3q6mp88803WL58ucM4Bw4cwO+//+7W1BQf2dnZ1kbdGH/pcSdvLElJSfjHP/4Bo9EImUwGoGEdpnPnzoiIiLCL7w9NX331FaZPn44NGzZg9OjRHn1HoNRRUlISduzYwXm2d+9eJCUlOUzPn3U0aNAgAA07xNm7iktLS1FcXGy3t+DSpUvYv3+/x9Pp2dnZiIiIsOuo/aXHNm+ufkdLly5FYWGhdef23r17odFoOIYO8I+eH374AQ8//DBWrFjh8Q5wR/XjkiaPZYkW5cqVK0xWVhazZMkSJjQ0lMnKymKysrKYqqoqTrzPPvuMUSqVTne4JicnMwMGDOAN+/e//80MGTLE+ndqairz5ZdfMjk5OUxOTg6zdOlSRiwWM59//rnf9XzwwQfMli1bmAsXLjAnT55kXnzxRUYsFnN2+tnqKS8vZ+Li4pgnn3ySOXXqFLNhwwZGpVIx//3vf5ulx1ua1q9fz0ilUuajjz5i8vLyrP/Ky8sdagrkOrp48SKjUqmY+fPnMzk5OcxHH33ESCQSzpRcoNXRI488wnTv3p05fPgwc/LkSebhhx9munXrxtTX13PSWrRoEdOqVSvGZDLZfU9aWhpn9/F3333HfPrpp8zJkyeZCxcuMB9//DGjUqmY119/3e963Gk/tnpMJhPTo0cPZvjw4Ux2djaza9cuJiYmhlm4cKHf9bBTuwsXLuT8hkpKShzq8Wb9kDENcKZOncq71rB//35OvKSkJGby5MkO0ykvL2dCQkKY1atX84YvXryYadu2rfXv1NRUpmvXroxKpWI0Gg3Tv39/ZuPGjQGhZ8WKFUxiYiKjVCqZyMhI5v7772cyMjKc6mEYhvn111+Ze+65h1EoFEzr1q2Zt99+u9l6vKXpvvvu401j6tSpDjUFch0xTMMRpt69ezNyuZzp0KEDs2bNGk54oNVRRUUFM336dCY8PJyJjIxkHn30Uebq1aucdMxmM9OmTRvm73//O+/3rFmzhmk8Rtm5cyfTu3dvJjQ0lFGr1cydd97JfPLJJ4zZbPa7Hnfaj60ehmGYy5cvM6NGjWJCQkKY6Oho5uWXX2aMRqPf9ThK47777nOox5v1Q1ewEQRBEEQzoaMxBEEQBNFMyJgSBEEQRDMhY0oQBEEQzYSMKUEQBEE0EzKmBEEQBNFMyJgSBEEQRDMhY0oQBEEQzYSMKUEQTnnjjTfQu3dvf2cDAHD//fdjzpw5/s4GQdjx/9u7n5Ao3jAO4N9XxbJRME3WkJBUCJMU2RHFCSxQAiGtg9axFC3/wC5oq5HC2B+RKEISNz0UEV0C7VBexNDLgtaCgoV1KT0ZguTF/qrv7yDOb8dMHWfXOnw/sOC8877zPsMeHt/Zl3mYTIl2yefPn+FyuZCWloa9e/fC4XBA0zR4vV58/fr1b4e3I7quQwix6WcnRkZGIITAwsJCcAMmChG+6J5oF3z8+BGapiE2Nhbt7e04duwY9uzZg8nJSfT29iIpKQklJSUbjg188fu/prGxEZcvXzaOc3JyUF1djaqqqg37//z5c0cVi4j+dVyZEu2C2tpaREREwO/3o7y8HOnp6UhJSUFpaSkGBgZw+vRpo68QAl6vFyUlJVAUBbdu3QIAeL1epKamIjIyEkeOHMGTJ0+MMdPT0xBCYGJiwmhbWFiAEAIjIyMA/l/tvXr1CqqqYt++fcjPz8eHDx9MsXZ0dMDhcCAmJgaVlZX4/v37H+8rOjoaiYmJxic8PBwxMTHG8fnz51FfXw+3240DBw7g1KlTW8Y6PT2NkydPAgD2798PIYSplNfKygo8Hg/i4uKQmJgIXdctfhtEwcdkShRi8/PzGBwcRF1dHRRF2bDP+sehuq7j7NmzmJycREVFBZ4/fw6Xy4WGhga8ffsWly5dwsWLFzE8PGw5nmvXruHu3bvw+/2IiIhARUWFce7Zs2fQdR3t7e3w+/04ePAguru7Lc8R6PHjx4iMjITP58ODBw+27H/o0CH09fUBWC25NTs7i87OTtP1FEXB2NgYbt++jevXr29ag5NoV+zgBf9EZMHo6KgEIPv7+03t8fHxUlEUqSiK9Hg8RjsA6Xa7TX3z8/NlVVWVqa2srEwWFxdLKaX89OmTBCDHx8eN81++fDFV3hgeHpYATKXqBgYGJAD57ds3KeVqJZja2lrTPLm5uTIrK2tb95qcnCzv3btnHBcUFMjs7GxTHyuxri/vVlBQII8fP25qy8nJkU1NTduKjyhUuDIl+ktev36NiYkJZGRk4MePH6ZzqqqajqempowCyWs0TcPU1JTleTMzM42/1wpBz83NGfPk5uaa+m9W0Hs7nE6nrfHrBcYPrN7DWvxEfws3IBGFWFpaGoQQv/02mZKSAgCIior6bcyfHgf/SVjY6v/FMqCi4q9fvzbsG7iZae3x8srKiqX5rFh/L1Zi3cj6zVhCiJDGT7QdXJkShVh8fDyKiorQ1dWFxcXFHV0jPT0dPp/P1Obz+XD06FEAQEJCAgBgdnbWOB+4wcfKPGNjY6a20dFRy9fZzHZiXdvxu7y8HNS5iUKFK1OiXdDd3Q1N06CqKnRdR2ZmJsLCwvDmzRu8f/9+y0ehV65cQXl5ObKzs1FYWIgXL16gv78fQ0NDAFZXt3l5eejo6MDhw4cxNzeHlpYWy3G6XC5cuHABqqpC0zQ8ffoU7969M1bRwbCdWJOTkyGEwMuXL1FcXIyoqChER0cHLQaiYOPKlGgXpKamYnx8HIWFhbh69SqysrKgqiru37+PxsZG3LhxY9PxZ86cQWdnJ+7cuYOMjAz09PTg0aNHOHHihNHn4cOHWFpagtPphNvtxs2bNy3Hee7cObS2tsLj8cDpdGJmZgY1NTWWr7OVrWJNSkpCW1sbmpub4XA4UF9fH/QYiIJJyMAfLoiIiMgyrkyJiIhsYjIlIiKyicmUiIjIJiZTIiIim5hMiYiIbGIyJSIisonJlIiIyCYmUyIiIpuYTImIiGxiMiUiIrKJyZSIiMgmJlMiIiKb/gNDrBKrpuOyGwAAAABJRU5ErkJggg==",
            "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 0.32 0.19 0.15\n",
            "Max Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "1.37 2.25 1.47 1.0\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",
            "16.81 5.16 3.5 2.71\n",
            "Max Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "110.66 57.08 36.18 21.57\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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RuLGQU7dfEBERsZ3CjYWOFxTb3BAREZE+TOHGQg7V3IiIiNhO4cZCDo3ciIiI2E7hxkJOjdyIiIjYTuHGQqq5ERERsZ/CjYV0bykRERH7KdxYKFBzY3M7RERE+jKFGwup5kZERMR+CjcW0r2lRERE7KdwYyFH4PYLSjciIiJ2UbixkM6WEhERsZ/CjYV0hWIRERH7KdxYSDU3IiIi9lO4sZBqbkREROyncGMh1dyIiIjYT+HGQqq5ERERsZ/CjYVUcyMiImI/hRsL6d5SIiIi9lO4sVDzyI2IiIjYR+HGQs5jn6Zf81IiIiK2UbixkEM1NyIiIrZTuLGQam5ERETsp3BjoePXuVG4ERERsYvCjYWczVcotrcZIiIifZrCjYWO19wo3oiIiNhF4cZCx69QbG87RERE+jKFGws5NXIjIiJiO4UbCzXX3KjoRkRExD4KNxbSyI2IiIj9bA83y5YtIy0tDa/Xy9SpU9mwYUOb6z/++OOMGDGCkJAQUlNTufPOO6mrq+ui1p6Gam5ERERsZ2u4eemll1i4cCEPPPAAmzdvZvz48cycOZOCgoJW1//73//OT3/6Ux544AF27drFn//8Z1566SXuvffeLm556zRyIyIiYj9bw83SpUu5+eabmT9/PqNHj+bpp58mNDSU5557rtX1//Of/zB9+nSuv/560tLSuPzyy7nuuutOO9rTVQLXuVG2ERERsY1t4aahoYFNmzaRkZFxvDFOJxkZGWRmZra6zbRp09i0aVMgzHzxxResWLGCWbNmnfJ96uvrqaioaPHoLLpCsYiIiP2C7HrjoqIifD4fSUlJLZYnJSWxe/fuVre5/vrrKSoq4sILL8QwDJqamrj11lvbnJZasmQJDz74oKVtPxXdOFNERMR+thcUn4k1a9bwyCOP8Mc//pHNmzfz2muv8fbbb/Pwww+fcptFixZRXl4eeOTk5HRa+3TjTBEREfvZNnITHx+Py+UiPz+/xfL8/HySk5Nb3eb+++/nu9/9LjfddBMAY8eOpbq6mltuuYX77rsPp/PkrObxePB4PNZ3oBWBaakueTcRERFpjW0jN263m8mTJ7N69erAMr/fz+rVq0lPT291m5qampMCjMvlArpHncvxgmL72yIiItJX2TZyA7Bw4ULmzp3LlClTOP/883n88ceprq5m/vz5ANx4443079+fJUuWADB79myWLl3KxIkTmTp1Kvv37+f+++9n9uzZgZBjJ+exdOP329wQERGRPszWcDNnzhwKCwtZvHgxeXl5TJgwgZUrVwaKjLOzs1uM1PzsZz/D4XDws5/9jCNHjpCQkMDs2bP55S9/aVcXWqWaGxEREfs4jD42h1JRUUFUVBTl5eVERkZauu+n1hzgVyt38+3JA/jt/xtv6b5FRET6sjP5/u5RZ0t1d87A7Rf6VF4UERHpVhRuLHT8In42N0RERKQPU7ixkEMjNyIiIrZTuLGQQyM3IiIitlO4sZBqbkREROyncGMh1dyIiIjYT+HGQqq5ERERsZ/CjYVUcyMiImI/hRsLqeZGRETEfgo3FmquufEr24iIiNhG4cZCxwZudFdwERERGyncWChwtpTN7RAREenLFG4spLOlRERE7KdwYyHV3IiIiNhP4cZCzSM3qrkRERGxj8KNhXSFYhEREfsp3FhINTciIiL2U7ix0PGaG4UbERERuyjcWOj4yI297RAREenLFG4s5AxUFNvbDhERkb5M4cZCureUiIiI/RRuLORQzY2IiIjtFG4s1HxvKdXciIiI2EfhxkK6t5SIiIj9FG4s5Dz2aeoKxSIiIvZRuLGQam5ERETsp3BjoUDNjd/WZoiIiPRpCjcWUs2NiIiI/RRuLHT8xpmKNyIiInZRuLGQLuInIiJiP4UbK+neUiIiIrZTuLGQpqVERETsp3BjoePhxuaGiIiI9GEKNxZSzY2IiIj9FG4s5FDNjYiIiO0UbizkCFznRulGRETELgo3FmquudEVikVEROyjcGOh5pobnS0lIiJiH4UbCzlovnGmzQ0RERHpwxRuLNRcUKyaGxEREfso3FgoUHOjbCMiImIbhRsLOY99mqq5ERERsY/CjYVUcyMiImI/hRsL6WwpERER+yncWMihmhsRERHbKdxYSPeWEhERsZ/CjYUcuiu4iIiI7RRuLKSaGxEREft1KNz85S9/4e233w48/8lPfkJ0dDTTpk3j0KFDljWup9F1bkREROzXoXDzyCOPEBISAkBmZibLli3j17/+NfHx8dx5551ntK9ly5aRlpaG1+tl6tSpbNiwoc31y8rKuO2220hJScHj8TB8+HBWrFjRkW5YzqGaGxEREdsFdWSjnJwchg4dCsAbb7zBt771LW655RamT5/OjBkz2r2fl156iYULF/L0008zdepUHn/8cWbOnMmePXtITEw8af2GhgYuu+wyEhMTeeWVV+jfvz+HDh0iOjq6I92wnGpuRERE7NehkZvw8HCKi4sBeO+997jssssA8Hq91NbWtns/S5cu5eabb2b+/PmMHj2ap59+mtDQUJ577rlW13/uuecoKSnhjTfeYPr06aSlpXHxxRczfvz4jnTDck7dW0pERMR2HQo3l112GTfddBM33XQTe/fuZdasWQDs3LmTtLS0du2joaGBTZs2kZGRcbwxTicZGRlkZma2us1bb71Feno6t912G0lJSYwZM4ZHHnkEn893yvepr6+noqKixaOzqOZGRETEfh0KN8uWLSM9PZ3CwkJeffVV4uLiANi0aRPXXXddu/ZRVFSEz+cjKSmpxfKkpCTy8vJa3eaLL77glVdewefzsWLFCu6//34ee+wxfvGLX5zyfZYsWUJUVFTgkZqa2s5enrnmmhuf0o2IiIhtOlRzEx0dzR/+8IeTlj/44INn3aC2+P1+EhMT+Z//+R9cLheTJ0/myJEj/OY3v+GBBx5odZtFixaxcOHCwPOKiopOCzhBzuNZ0ec3cDXPU4mIiEiX6dDIzcqVK/n4448Dz5ctW8aECRO4/vrrKS0tbdc+4uPjcblc5Ofnt1ien59PcnJyq9ukpKQwfPhwXC5XYNmoUaPIy8ujoaGh1W08Hg+RkZEtHp3FHXT842xo8nfa+4iIiMipdSjc/PjHPw7Urmzfvp277rqLWbNmcfDgwRajJG1xu91MnjyZ1atXB5b5/X5Wr15Nenp6q9tMnz6d/fv34/cfDw579+4lJSUFt9vdka5Yyu06/nHWN526DkhEREQ6T4fCzcGDBxk9ejQAr776Kl/72td45JFHWLZsGe+8806797Nw4UKeeeYZ/vKXv7Br1y5+8IMfUF1dzfz58wG48cYbWbRoUWD9H/zgB5SUlHD77bezd+9e3n77bR555BFuu+22jnTDcsGu49NQGrkRERGxR4dqbtxuNzU1NQC8//773HjjjQDExsae0dlIc+bMobCwkMWLF5OXl8eECRNYuXJloMg4Ozsb5wl1LKmpqbz77rvceeedjBs3jv79+3P77bdzzz33dKQblnM4HLiDnDQ0+alXuBEREbFFh8LNhRdeyMKFC5k+fTobNmzgpZdeAswpogEDBpzRvhYsWMCCBQtafW3NmjUnLUtPT2fdunVn3Oau4nGZ4abBp3AjIiJihw5NS/3hD38gKCiIV155haeeeor+/fsD8M4773DFFVdY2sCexhNsfqSalhIREbFHh0ZuBg4cyL/+9a+Tlv/ud7876wb1dM1FxQo3IiIi9uhQuAHw+Xy88cYb7Nq1C4Bzzz2Xr3/96y1O0+6Lmk8H17SUiIiIPToUbvbv38+sWbM4cuQII0aMAMwrAaempvL2228zZMgQSxvZkwTCjUZuREREbNGhmpv//u//ZsiQIeTk5LB582Y2b95MdnY2gwcP5r//+7+tbmOPonAjIiJirw6N3Kxdu5Z169YRGxsbWBYXF8ejjz7K9OnTLWtcT9Rcc6NTwUVEROzRoZEbj8dDZWXlScurqqq6xZWC7aSaGxEREXt1KNx87Wtf45ZbbmH9+vUYhoFhGKxbt45bb72Vr3/961a3sUdxB5kF1ZqWEhERsUeHws2TTz7JkCFDSE9Px+v14vV6mTZtGkOHDuXxxx+3uIk9i04FFxERsVeHam6io6N588032b9/f+BU8FGjRjF06FBLG9cTeQIFxbpxpoiIiB3aHW5Od7fvDz/8MPD70qVLO96iHk41NyIiIvZqd7jZsmVLu9ZzOBynX6kX07SUiIiIvdodbk4cmZFT03VuRERE7NWhgmI5teZwU69pKREREVso3FhMIzciIiL2UrixmGpuRERE7KVwYzGN3IiIiNhL4cZiHp0KLiIiYiuFG4tp5EZERMReCjcWU82NiIiIvRRuLKYrFIuIiNhL4cZinmN3Ba/XyI2IiIgtFG4sppobEREReyncWEzhRkRExF4KNxYLFBSr5kZERMQWCjcW08iNiIiIvRRuLNZ8Eb/6Jp/NLREREembFG4sppEbEREReyncWEwX8RMREbGXwo3FdBE/EREReyncWKw53DT6DPx+w+bWiIiI9D0KNxZrDjeg0RsRERE7KNxYrLnmBhRuRERE7KBwY7EW4UZFxSIiIl1O4cZiTqeDYJcDULgRERGxg8JNJwh1BwFQ06AL+YmIiHQ1hZtOEBlihpuKukabWyIiItL3KNx0gkhvMADltQo3IiIiXU3hphM0h5sKhRsREZEup3DTCY5PSzXZ3BIREZG+R+GmE2jkRkRExD4KN50gKuRYuFFBsYiISJdTuOkEkc3hplbTUiIiIl1N4aYTRHqP1dxoWkpERKTLKdx0gkhNS4mIiNhG4aYTqKBYRETEPgo3neD4yI1qbkRERLqawk0nCJwtpZEbERGRLtctws2yZctIS0vD6/UydepUNmzY0K7tli9fjsPh4JprruncBp6hE+8tZRiGza0RERHpW2wPNy+99BILFy7kgQceYPPmzYwfP56ZM2dSUFDQ5nZZWVncfffdXHTRRV3U0tOor4TDm+DolkDNTaPPoK7Rb3PDRERE+hbbw83SpUu5+eabmT9/PqNHj+bpp58mNDSU55577pTb+Hw+brjhBh588EHOOeecLmxtG/J3wrNfhVe+T6jbhcvpAHTzTBERka5ma7hpaGhg06ZNZGRkBJY5nU4yMjLIzMw85XYPPfQQiYmJfP/73++KZraPy23+bKrH4XAcv9aNTgcXERHpUkF2vnlRURE+n4+kpKQWy5OSkti9e3er23z88cf8+c9/ZuvWre16j/r6eurr6wPPKyoqOtzeNgV5zZ9NdYB5xlRpTaNGbkRERLqY7dNSZ6KyspLvfve7PPPMM8THx7drmyVLlhAVFRV4pKamdk7jgjzmzyYzSEUfO2OqrEbhRkREpCvZOnITHx+Py+UiPz+/xfL8/HySk5NPWv/AgQNkZWUxe/bswDK/3yzYDQoKYs+ePQwZMqTFNosWLWLhwoWB5xUVFZ0TcJpHbnxmuIkNM6epSqrrT7WFiIiIdAJbw43b7Wby5MmsXr06cDq33+9n9erVLFiw4KT1R44cyfbt21ss+9nPfkZlZSVPPPFEq6HF4/Hg8Xg6pf0tNI/c+BrA7yc2zHxeUq2RGxERka5ka7gBWLhwIXPnzmXKlCmcf/75PP7441RXVzN//nwAbrzxRvr378+SJUvwer2MGTOmxfbR0dEAJy3vckEnBChfPbFh5rSURm5ERES6lu3hZs6cORQWFrJ48WLy8vKYMGECK1euDBQZZ2dn43T2gNKg5mkpgKa6wMhNcXWDTQ0SERHpm2wPNwALFixodRoKYM2aNW1u+8ILL1jfoI5wBoHDCYYfmhoCIzelCjciIiJdqgcMifQQDge4ms+Yqjuh5kbhRkREpCsp3FjphNPBm8+W0rSUiIhI11K4sdIJF/JrDjealhIREelaCjdWOuF08OZwU93go67RZ2OjRERE+haFGyudMHIT6Q0i6NjNM1V3IyIi0nUUbqwU1HzzzDocDgcxgasUK9yIiIh0FYUbKwVGbswwE6dwIyIi0uUUbqz0pTuDx4Qq3IiIiHQ1hRsrfenO4HHhZrgpqtItGERERLqKwo2VTriIH0BChPm8qEojNyIiIl1F4cZKJ94ZHIgPN58XVmrkRkREpKso3FjpSzU3x0duFG5ERES6isKNlb5Uc5OgkRsREZEup3BjpaBT1dwo3IiIiHQVhRsrfWnkprnmpri6Ab/fsKtVIiIifYrCjZUCNTctTwX3+Q1Ka3TGlIiISFdQuLHSl6algl1OYkKDASjU1JSIiEiXULixkqvltBScUHdTqZEbERGRrqBwY6XAdW6Oh5vAtW6q6uxokYiISJ+jcGOlL9XcgEZuREREuprCjZW+dBE/gOQoc1l2SY0dLRIREelzFG6sFGSeHUXT8VGac/tFAbD9SLkdLRIREelzFG6s1MrIzdj+Zrj5PLeCRp/fjlaJiIj0KQo3Vgo6+WypQbGhRHiDaGjysze/0qaGiYiI9B0KN1ZqZeTG6XQERm92aGpKRESk0yncWMl1rObG1/LMqOZwsyW7rIsbJCIi0vco3FiplZEbgPQhcQCs+jyfJtXdiIiIdCqFGyu1UnMDMH1oPHFhboqrG/jkQLENDRMREek7FG6sdIqRm2CXk6vGpQDw5tYjXd0qERGRPkXhxkrBIeZPXwP4mlq8lDEqCYCtOWVd3CgREZG+ReHGSp7I47/XV7R46ZyEMABySmrw+Y2ubJWIiEifonBjJVcQBJshhrqWp333iwrBHeSk0WdwtKzWhsaJiIj0DQo3VvOap31/Odw4nQ4GxoYCcKhY95kSERHpLAo3VvMem5r60rQUQFqcGW4OFld3ZYtERET6FIUbq51i5AZgUJw5ZXWoSOFGRESksyjcWK25qLju1CM3WZqWEhER6TQKN1Zrx8jNwaKqrmyRiIhIn6JwY7U2am5GpUTidMCBwmoOFCrgiIiIdAaFG6u1MXKTEOHhkhGJALz8aU5XtkpERKTPULixWhs1NwBzzksF4JVNh3UxPxERkU6gcGO1wMhNWasvf3VkIqFuF8XVDZqaEhER6QQKN1ZrDjet1NwABLmcjOlnrvPZ4ZOnrkREROTsKNxYLTAtdergMm6AGW62Hy7rggaJiIj0LQo3VgtMS7U+cgMw9li4+eyIRm5ERESspnBjNW97Rm6iAdh5tILaBl8XNEpERKTvULix2ok1N0brZ0MNig0lLsxNQ5OfWU/+m4LKui5soIiISO+mcGO15pobfxM0tn6bBafTwePfmUBihIeDRdX88cMDXdhAERGR3k3hxmruMHC4zN/bmJq6aFgCS6+dAMCLG7I1eiMiImIRhRurORwQkWz+XnG0zVWnD41jQmo09U1+/rkttwsaJyIi0vt1i3CzbNky0tLS8Hq9TJ06lQ0bNpxy3WeeeYaLLrqImJgYYmJiyMjIaHN9W0QPMn+WZrW5msPhCNyOYedRnTklIiJiBdvDzUsvvcTChQt54IEH2Lx5M+PHj2fmzJkUFBS0uv6aNWu47rrr+PDDD8nMzCQ1NZXLL7+cI0eOdHHL2xCTZv48TbgBGJUSAcDnR0996riIiIi0n+3hZunSpdx8883Mnz+f0aNH8/TTTxMaGspzzz3X6vp/+9vf+OEPf8iECRMYOXIkzz77LH6/n9WrV3dxy9twBuFmdD+zAPlAYRUNTf7Oa5OIiEgfYWu4aWhoYNOmTWRkZASWOZ1OMjIyyMzMbNc+ampqaGxsJDY2ttXX6+vrqaioaPHodDHHpqXKDp121f7RIUR6g2j0Gewv0L2mREREzpat4aaoqAifz0dSUlKL5UlJSeTl5bVrH/fccw/9+vVrEZBOtGTJEqKiogKP1NTUs273aZ3ByI3D4WBkijl6sytXU1MiIiJny/ZpqbPx6KOPsnz5cl5//XW8Xm+r6yxatIjy8vLAIycnp/Mb1hxuyg+Dr/G0q48+Fm4+V7gRERE5a0F2vnl8fDwul4v8/PwWy/Pz80lOTm5z29/+9rc8+uijvP/++4wbN+6U63k8HjwejyXtbbfwJAjyQlOdGXBiB7e5+miN3IiIiFjG1pEbt9vN5MmTWxQDNxcHp6enn3K7X//61zz88MOsXLmSKVOmdEVTz4zDcfx08JIvTrt6c1HxrtwKjFPcskFERETax/ZpqYULF/LMM8/wl7/8hV27dvGDH/yA6upq5s+fD8CNN97IokWLAuv/6le/4v777+e5554jLS2NvLw88vLyqKrqZsW4cUPNn8Wnv7XC0MRwXE4HpTWN5FXoSsUiIiJnw9ZpKYA5c+ZQWFjI4sWLycvLY8KECaxcuTJQZJydnY3TeTyDPfXUUzQ0NPDtb3+7xX4eeOABfv7zn3dl09sWN8T8Wbz/tKt6g10MSQhjb34Vu3IrSIkK6eTGiYiI9F62hxuABQsWsGDBglZfW7NmTYvnWVlZnd8gK8QPM38W72vX6qNTItmbX8UTq/dzXlosEd7gTmyciIhI72X7tFSv1TwtVXT6kRs4XnezLaeMKx7/N/manhIREekQhZvOEnds5KY8BxprT7v6NRP7c9noJIJdDo6U1fK9Fz6lyacrFouIiJwphZvOEhYPnijAaNcZU4kRXp65cQof3DWD6NBgdh6t4No/ZfLPbW3fWVxERERaUrjpLA4HxB+bmirc3e7NUmNDuevyEQBszi7jRy9uYVtOWSc0UEREpHdSuOlMA84zf+5ecUabXX/+QC4fffyWFBsPlVrZKhERkV5N4aYzjb3W/Ln7baivbPdmLqeD/7lxCndfPhyArTllvLLpMBf9+gPe2Z7bGS0VERHpNRRuOlP/SeZZU0218PlbZ7z5hNQYAP657Sh3/2MbOSW1PP3R6et3RERE+jKFm87kcMD475i/b3vxjDcflxp10rLth8sorz39zThFRET6KoWbztY8NZX1sXkTzTMQ6Q3G5XQAMCAmhCEJYfgN+HhfkdWtFBER6TUUbjpbzCAYNB0w4LOXz3jzpdeO5yvDE3jp/0vnqyMTAVj+aTYNTboGjoiISGsUbrpCYGpqOZzhXb+vntCfv37vfPpHh3D1hP4EOR38e18RP3llWyc0VEREpOdTuOkKo6+GIC8U7YHcrR3ezZj+UTwzdwoAb2w9SlZRtUUNFBER6T0UbrqCNwpGzDJ/37b8rHZ1yYhEZoxIAOD/1h0CwDjD0SAREZHeTOGmq0y4wfy5+a9QcXbXqrkxfRAAyz/N4cbnNnDeL1eTW376+1eJiIj0BQo3XWXopZA6FRpr4IOHz2pXM4YnMmVQDFX1TXy0t5Ciqnpe23zEooaKiIj0bAo3XcXhgMt/af6+9W9wKLPDu3I6HfzxhkkMiAkJLNMNNkVEREwKN10p9TyYdKP5+5s/hNKsDu8qMdLL+wsv5uN7LiHY5WB3XiXXP7OO/QVV1rRVRESkh1K46WqXPQQR/aDkC/jTxbB/dYd35Q12MSAmlEtHmjfZ/M+BYq79UyZvbj3CLX/dyB/X7Leq1SIiIj2Gw+hjp9pUVFQQFRVFeXk5kZGR9jSi/Ai8/F04sgkcTpj9xPERnY7srraRNXsKePbfB9l+pLzFax/cdTHnJISfbYtFRERsdSbf3xq5sUNUf5j/Dkz4LzD88NaP4KPfnvEF/gK7Cwnm6gn9+b+bpvJfFwzE7Tp+WOe/8ClbsksByK+o49F3dpNfUWdJN0RERLojjdzYyTBg1f3wn9+bz8dfb47iBLnPareNPj8bs0q57pl1ADgd8M8fXcjd//iMXbkVzDw3iT99d8rZtl5ERKTLaOSmp3A44PJfwKzfgsMF2/4OL86BxrO7Zk2wy8kF58Ry2yVDAPAbcOv/bWJXbgUA7+7Mx+c38PsNXQBQRER6HYWb7uD8m+GGlyE4DA58AM98FT5/C/wdvzmmw+HgxzNH8s7tFwGQU9IyMH20r5Cv/OZDvvb7j9lfUHlWzRcREelOFG66i6EZ8F+vmrdqKPjcLDh+ejpsfRF8TR3e7aiUSL45qT8OB0wZFMN5aTEA3PnSVg6X1rLzaAXffjqT8ppGq3oiIiJiK9XcdDc1JbDuKfPRcGxEJX4EXHo/jLgKnGeeRw3DoMHnxxPk4t2defx//7vppHVuunAwX5/Qj3EDos+yAyIiItY7k+9vhZvuqrYMNj0PnzwBtebZTkT0g/BE81YO6QsgNPaMd+v3G3zlNx9yuNScprojYxiPv78v8PrjcyZwzcT+VvRARETEMioo7g1CouHCO+H2bXDR3eCJgsqjkLsV/v0Y/HYYvDwXivadbk8tOJ0OfvWtcTgdcOHQeH44Yyj9o4/fxuGRFbuoqu/4NJiIiIjdNHLTUzTWQvY6qCqAdcsgd9uxFxww4ko47yZIuxCCPO3aXVZRNfERHsI9QRwureFAYTX3v7GD7JIazkuL4U/fnUJsmHlK+qHiaqrqmzi3XxSGYeBwODqpkyIiIq3TtFQbemy4+bK8HfDBL2DvO8eXBXlhwHmQMt68A/k5F5sFyu20MauE+S98SmVdExHeIFJjQkmI8LDui2Lqm/xcNCyez49W8IfrJ5E+JK4TOiUiItI6hZs29Jpw06xoH6z/E+x8HWqKWr7mcEHq+TB8JoybA5H9Tru7vfmVfPOP/2lzaioxwsPKO74SGNkRERHpbAo3beh14aaZYUDRXsjOhNzP4OBaKP7SjTNjBkO/CeYIjycSkseYozzBYeCNNIuVgZU7cvnvF7cyIjmCHUfLCXMHMXVwLBuySqisM0PPVWNTuGx0EqmxoUwaGK2pKhER6VQKN23oteGmNaWHYP/7sP0fZug5naSxMOwyGHYZ1TEjCYuMZV9+JSFu8+7jhmGw/Ug5Vy/7pMVtsNLiQrn5K+dww9RBAPj8BjuOlNPo83Nuvyg8QU4cDhSARESkwxRu2tCnws2JakvNu5Dnfw6GD2qKIWcDlByEpjqorwS+9KcQGg/uUAhPgkHTYdTXISKJ5/75IX/bWUuFJ5kqn5vaRh8A5/aLZFhiOAeLa9iWUwZAuCeIBp+f8QOi+L+bpuIJcuH3GzidCjoiItJ+Cjdt6LPh5nSqi2D/atj3njmlVV3Yrs0Mh5Py4EQya1PJMRKpNEJ4x38+BcH98Xi8FFbWB9YdEBNCmDuIo2W1/OnGyUwbEh94raHJz5Or91HX6GPRrFG4FH5EROQECjdtULhpp7pyKM2CpnpzdGf3v+DgR+bymEHmlZTrK9rchREaR3V4GjlBg3j5UBhODCIdNRw24qkPjub28yPICx1GjvscXtlWzMZD5sUKb/nKOUSHBjN9SDzjU6M7v68iItLtKdy0QeHmLBgG+JvAFWw+ryuHhhqzcDl3K1TmmUXNBz4E/5ndq6reCOaIEcc6/yg2+kdwlHic+JkzykNaQiTb8hswYoZw5YwLiQ3z8NmRcnx+gwmp0fxz21EGxYUxMTVa010iIr2Uwk0bFG66gN8PtSVQcdQMOwW7oHC3+VpYPI3Fh8jLO8LBag8TXAeJpKrduy4iihJXAo2NjWz0D8cdGsnbVcPJN2KYEVvCeWlxRMbEk+D1c6SolCAnTBo7Flewl7y8XOIj3IQkDjVHn47RhQlFRLo/hZs2KNx0H+W1jUR6XDjqyqChCvI/p3L3BzQd2Uq0r4SyOh+7Krx4gpykeBuJr/0CN9bcvbzWGUpdcAwlIQPxlR6mPiKVIaF1lIaksqm2Hw2uMM4dMZJRo86FplpIHA3BIaffMZhTeVUF4AmHkBhL2isi0tcp3LRB4aZnKatpICokGIfDQUVVFY//5UUaKktYcNEAtmxYS2VxHpd5PycqqJECVxJ1Pie++mpq/MG4vaHUNjSS4C8kGB8VhOE3YLAjj2CH74za4ceBHycOwGme124u90bjjEjEUbSPprBk6qrKCPcfr0VqiBxEiXcQMaFBeOpLzGm9yjzAMAPToGnU1DfSWLCXyLpcHI3V4Ikwr0NUUwwOp3mD1OAQaGowt3c4oXgfeKMhdrB5/aLYwebZbQ6nuf3hT6GuDBqqwfBDSCzEDYX4oeZ6lbnm8uL9EJNmvmb4zQcO81pIwV4ICgFX0AkfhM8sNq8tg8Ya80y68CTzbLzmkBoaD9Gpp/lA/eZn4HSd0XEQkb5L4aYNCjc9X/M0Uk1DE+/tzGfmucmEuFv/kiyorOONLUeYPCiWMf0jefnTHErLSkl2lrFl6xaCKg4xYcwY/CWH+PiowWTPESZG1xLUVEVw+UESKKUJF3GOyjNqY4Phwn2GAarbcrjMcBXkNS8Z4Ks//TZJY8wrYtdXmo8gL1QcMUORr8G8HIHDBVEDzPUaqsAdDqFxZtgK8poBzNdg3letthTihhzf/5EtZsBzuCCqP4QlmKGxMg/ih8GgaWaga6wx67+CQ83n1YXmBSsPfmQGxaQx5vs5nOAMMoNkSIzZ5pz1Zk1ZeKJ5I9vqIsjbbrYpfvixdtdAdYEZ+kq+gCObof9EiB0CEcnmtg4XuNzmrVD8jeb70hyQHeZ7eyMhsr9Zz1Z6CMoOmdO6wSFmuwzjWPA0zG2CPOZnFOSFIPexn8eWuY4999Wb+0oYYbanvhLKsqAs2/w8g8MgaTQ4g83jEZFitrHiqPk51hSZfQ5LMD/7yjwzOLuOXZncG2n2u3CP2d7wJPOz9EaZbXG5zVHMplozgJ9q6tfXZLYnJNr8DGuKzba6w8zPJLJfu++Z1y6GYf69BYeBs5vcO9rvN/+eG2sgepD5dwjgazRrG73RLf+R0dUMwzw2udvM4xQ10Pxv19dg/p0Eec2/n06e3le4aYPCjTRr8vkprm4gKdILQH2Tj2CnM1CUnFVUzebsUiI9QcQ7K2hsauTNLUf4eH8RdQ3mlZrTXEXEGqXsNgYSRwWERHPrVen8PrOEg4ePMMZ5kP6OIgwcFBuRNBJEkRGFA4MLnLsY6jgMOMh29OMLXwJVhBBOLfFBtUTEJJAUFcqIyAaqq6r4OKuaqgY/F54TyaXTLmBfTi6hVdnE1h+hOm8f1JUR6vIT6Stlv3s0WU0xFNS5qGmCREcplyZUEF+fAzXF5Bqx+PxwxEhgmPMwMc4anE4XPsOBYfgJNhpO+bkZDicOb5T5P7SqAjB8GDioc4XT5AohvLEIh+Hv9OMnPYgnEnCYU7X1VWaYag5hdeXQWG2+/uVrbTULiQF3hPkFX5FrjvgFh5gPTxSEJ0BY4rFgWgH5O81QjGF+MWMcez+PefZnXRm4PBA90Ky/a55yDgox24MB5YfNkNVYY+47Js0Mny63GTj9jWa4zd1mtieyv/n+1QVmqGwe/TT8ZpuDPGZga6wxQ4vDaYYBv8+81pj/2C1vHE4zDNaWmKHPXGiuG9nfbIcn0gyX3iizLaVZZsCM6HcsUDugsc5sS02xGTKbR4MxzH4GAvKxn06XGWzLD5v9CIkxj5PfZ/53Xnm07WPcfOV7d5j5D5WU8XDNso7/zbRC4aYNCjdythp9foqq6gkNNv8l9Z1n1rErt4KUKC+/v24iU9JiOVpWy9d+/zH1jT7eXHAha/cW8r+ZWYwdEM2nB0sYGBdKcqSXCG8Qs8amcF5aLHvzK/miqJq/rTvE+oMlbbbB4YCO/5d77F//QJDTQZP/5B058BMR5OecaCeDIl0keH0cKSpje2ETecTz/84bxKHiGobEe7lpcjT/OdzIorf2AjAlvpE5KfnkHj3MrlIH/RITmDk8kr/trMcTncLBsgYKauAnl6axfssWinMPMXRAEt+ZEEd4Uyn5X2zD19hIRMoQ6o1gGgjGFRJJQ/5eBiZEEep2URqcxAbfCOobG7m8fyOhjaXHpsgSacjeiCPvM5yN1TjcoThcwTTWVuKuL4GwBHxVhXxcnkh9aBJjg3IIbygiq7iK/NIqJiUYxDqqqXe4cSaPITi6H1QVml+G7nCMfhOo8bsJLduNo6bYHBEKTwSHk8Nl9WxwjefK+BJC6gtpKM8lqKYAJxy/UKYr2PwygsA0YG1DI77qUkLr8nD6m45/4Ub2N7+UDJ/5hdf8BWf4zeW+BnO/TfUn/Kw//hzM6cHCPeYXKkB4srnv0Hjzy7Nwz/F/bdcUmz+dQeZoiTfa7FtlvnliQESyOc3ZHEDqys02xQ01v3CrC80v2YYqsw0Yx0fEfKcOyy24I8z3bA5BFUeO96W3Cw41w0plrt0taZ0zGFLGmX8DZTnHAinmCJiv/ng4azYwHb630tImKNy0QeFGrFZZ18iGgyVMHxqPN/j49FhRVT0+vxEYGWovv9/g3/uLqKht5KO9hZTWNDAgJpRBcaHsyq3g5Y2HARiZHEGEN4iiqgaSI71cOTaZw6W15JXXMTQxnORILy9vzGHiQPMU+X9ty+VIWS0AFw9PIDU2hGunpPJpVilPrt5HeW0jLqcDXythpy1hbhfVDV0zBTcyOYImv8H+guNn2AW7zC/nmFA3USHBHCyqDgS2IKeDkGAXlfVNJEZ4mDstjU+zSlizp/WLVA5LDOeaif35zbt7SIzwkBTppdHnZ8aIRNZ9UUxZTQNZxTWM7R/FxIHRVNU3MSIpgs3Zpby7Mx+Ac+LDGDsgine25+EJdvK1cf2YNTYZt8tJXkUdH+wuIDnSy978SnJKa0/oi8H4/pHER4Sw8PLhnNsvCjAL7w8VV5MSFUJChIdtOWWs2J7LV0cmMjghDG+wi89yyqlr9BEf4WFQbCgxYW5WbM/l7+uz+f70NC4Z6DL/RR0cgt9v8MsVu1i5I4+bLxrMd9PTyK+oI9HrI8jfwP5yB4crGvk8t4IPdhXQLzqEH311KIPiwvhrZhYxoW4uGh6Px+Ukyht00tSOz2/wyIpd1NXX89WRSew+Wsrk8BIaDScTk4MIj4hh8+EKwoL8jIhzk1tt8EFBGBPi/BxuimRKWhy7civpHxPC4LhQqsoKyc/NZkiUwwxN4UnHRyYaa6C2jD1fHCDvSDYX9HPiCYmAhJFUOSMIcQfhcpojJI31tRSVlJCcNgpH9ECoKcYoPURl3n7cDh9el4P8kjL2ljs5f3AsnriB5uhFkBfKcsjK/oKSihrGJocQjA9cwRjOYPYxgMTocKIbCqC+guzqID4pjeGa8UmEOI6FuvCk46HTHQYuNz6fj9yyavrHReJwuc11XEH4iw/irMgxpwPDEs3AU1tqjhSVHDTDT30F1FVQW1lCfkk5AwaPICg2zQyDdeXmv3yCju0zNN78va7cnPZ1BptThS1CcZ0ZQMOTyfbFkuCqIsSoNadUna5AsHe4w479qRpmm5wus31NDeZ7N1Sb4bZ52m9QugX/1R+ncNMGhRvpyZp8ftYfLGFYYjiJZxiaACrqGqmsa6J/dMszvxp9fmoafER6gzhYVM07O/K4cGg8ZbWNFFTUHZu+83DRsAT+b90h3t+Vz9Xj+7NqVz4bjo0yjRsQxbNzp7B2TyE7j1bgdDiYNTaZFzfksOrzPC4alkBZbQNul5MIbzCrd+UzLCmCi4cnsOzD/QS5HNQ1+kmM8JAWH8ah4moivcG4g5wUVtZTcMLVrt0uJ8OTw6mp9/FFUXWHPsuokGAiQ4LIKant0PZfFuxyEOkNpri6naMUJ0iNDWnRDrfLyYTUaEI9Lj7eV0ST38Ad5OSyUUms+jyfBt+pp/3cLiejUiLYdrgcAJfTwfcvHExVfRP/2V9EVnFNi/VHJkewO6+SUSmRfHvyAH61cjcNTS33HxUSTGpsCDuOHC+WD3I6OC8tFgOD89Ji2ZJdxsGi6kCAbk3/6BBG94tk1ef5OBzwrUkDeGd7botw7AlyUt/kJyTYxY8uHcr/Zh4it7yO/zd5AD//+rl8dricg0XVbD9SRkFFPT7DYO3ewsBI5uD4MC4aFs9Ln+YwOD6M//3+VBwOmPf8BnYcqWBkcgQ+v0FKdAh78irIr6gnMcLD9y8czGOr9gb63j86hNTYEOZNS2NPXhWPr96LYUBypJfvXziYDVkl1Df5+WhvIeGeIOZPT6N/dAi/fW8PRVUNhLpdzB7Xj6QoL1ecm0xafChfFFZzoLCKA4XVrNyRy978KjJGJXLtlFRySmv509oD1DT4mJAajcvp4FffGkd5bSMvbshmX0El04bEc8E5ceSV11FYWccfPtxPUVUDl41O4pffGMPS9/YyPCmCqvom8ivq+PHMEUSHuimraeCLomrG9IvCHdQyjPr9BjWNPpwOeOifn7P80xyGJ4Xz+JyJOJ0wIimCpav28vwnWVw9oR93Xz4Cb7CLn7z6GZ4gJ4tnj6agop7c8lqmDo47af9WUrhpg8KNiHWafH7W7CnE6YRpQ1qOXJ3OidcXqm3w4Q12Ut3gIyTY1ertN/533SHuf2MHYW4Xby64kKGJ4fj8BkdKa3G5HJRWN1Bc3cA58WHEhLnx+Q0q6xqpqm+iX3QI72zP5X/XHSIlKoT/7yvnMCXNLNpc9Xk+W7JL+WB3AbvzzMLxe64YSV55LV63i9yyOvbkVTJ/ehpJUV4amvw8+s5uhiaGMyE1mnd25FLX6GfpteNJiQph2Yf7+WB3Ad+aNIDzBsfw1JoDHCmtpaKuiar6RuZMSaW20cfg+HA2HSrlgnNimTctjcVv7WRbThmxYW7+va+oRd9jQoMprWk8aVlZbSOGASlRXhIiPBRU1JNXYU7jOB0wbkA0W4/d5+1EDgdMHhjDZ4fLTxmU0uJCmTctjbe2HWVztrmPcE8Q3mAXxdX1p50WbW7zRcPiOVpWS2VdU4uA+mXeYDP0FraxTqjbRc0ZjhLGhAbT5DeorGs6/crt2NeXj0N30dqoa3y4h4GxIYHjN3lQDL+4Zgyf7C/iHxsPc6SsFpfTQXltI9GhwZS10rd+UV6Olte1eD4gNjTwj5oT33dgbChJkR6q6n2MSo5g6ZwJlvZR4aYNCjciPZPfb/DSxhxGJEcwaaD11w/6cE8Bdyzfyo++OpSbLjrH8v37j30BnO4q2oZhsK+gis+PVlBW0xA40+/dnflszCohOcrLd9MHBW5CW9voI9TtCgTFzAPF7C+o5KujkkiJ9PLuzjze+zyfqJBgLhoWT/+YEOLCPCREePh4XxG//2AfV4xJZv0XJZRUNzB9aDwLvjo0EDBrG3z867OjVNc3cemoJPpHh9DkN9ibX8nOo+VU1/v4NKuEiQOjGds/mvUHixmSEM6MEQmU1TSSGhsKmKOGL3ySRVZxNTNGJFLX6OOf247i8xssvXYCyVFe6hp9vLXtKKNTInl9yxHW7i0k0hvEvOmDefhfn1NYWU+Y28V5g2MZmRzJoLhQ/IZBv6gQ6pt8PPvvgwyKC+PVzYeZNiSOw6W1ZJeYI1XDEsN5+Jox5JbXEh3i5nBpDQPjwugfHcJ3/ieTkuoG7rp8BBHeIJas2M3l5yYRG+bm+U+y8AY7+eU1Y5k1NoX7Xt/OPz87ypzzUnE5HEw9J46//CeL2kYfWUXV1Db6mDctjdW7C5g+JJ6iqnre3ZmH3zDD0ZCEcIYmhjMiOYIRyRH8+d8HKa42L3lx4dB4zu0XSeYXxSz7cD/NWeXKMcmMHRDF71fvx8BgVEokwS4nV5ybTFy4m0WvbaemwUe/KC95FXUEOZ0kRno4XHpmo5LJkV7mTkvj1+/uxjCOB5cgp4OrxqWw7oti8itODp/BLnP6t+KEADl+QBRvLrjwjN7/dBRu2qBwIyKnoqtVd1/NIeHSkUkkR7U9JVtUVU/csdG7DVnmCMMFg+NOGSxLqxuoqm8KBDGf3wiEux1HyokODWZATGhg/Uafn2DXydMvlcemfft9adq39NhUZUyYu529hXVfFPO39dn819SBTD0nDjCv++VyOojwBrdYt67RR3ZJDWlxYRwsqsYd5CQlykvmF8UcLatlxohEymsa+cmr2zhUXMM58WF8e0oqUwfH0tDkJyokmE+zSvjqyESiQ91sP1xOcJA5zZpVXM2wxAgSIjxkFVXz4D93EuJ2cd35AwNTZPHhHhp85hSdy+kgzBNEXJibMf2j2t3f9lC4aYPCjYiISM9zJt/f3eQKRiIiIiLW6BbhZtmyZaSlpeH1epk6dSobNmxoc/1//OMfjBw5Eq/Xy9ixY1mxYkUXtVRERES6O9vDzUsvvcTChQt54IEH2Lx5M+PHj2fmzJkUFBS0uv5//vMfrrvuOr7//e+zZcsWrrnmGq655hp27NjRxS0XERGR7sj2mpupU6dy3nnn8Yc//AEAv99PamoqP/rRj/jpT3960vpz5syhurqaf/3rX4FlF1xwARMmTODpp58+7fup5kZERKTn6TE1Nw0NDWzatImMjIzAMqfTSUZGBpmZma1uk5mZ2WJ9gJkzZ55y/fr6eioqKlo8REREpPeyNdwUFRXh8/lISkpqsTwpKYm8vLxWt8nLyzuj9ZcsWUJUVFTgkZqaak3jRUREpFuyveamsy1atIjy8vLAIycnx+4miYiISCcKsvPN4+Pjcblc5Ofnt1ien59PcnJyq9skJyef0foejwePx2NNg0VERKTbs3Xkxu12M3nyZFavXh1Y5vf7Wb16Nenprd9NND09vcX6AKtWrTrl+iIiItK32DpyA7Bw4ULmzp3LlClTOP/883n88ceprq5m/vz5ANx4443079+fJUuWAHD77bdz8cUX89hjj3HVVVexfPlyNm7cyP/8z//Y2Q0RERHpJmwPN3PmzKGwsJDFixeTl5fHhAkTWLlyZaBoODs7G6fz+ADTtGnT+Pvf/87PfvYz7r33XoYNG8Ybb7zBmDFj7OqCiIiIdCO2X+emq+k6NyIiIj1Pj7nOjYiIiIjVFG5ERESkV7G95qarNc/C6UrFIiIiPUfz93Z7qmn6XLiprKwE0JWKRUREeqDKykqioqLaXKfPFRT7/X6OHj1KREQEDofD0n1XVFSQmppKTk5OryxW7u39g97fx97eP+j9fezt/YPe38fe3j/onD4ahkFlZSX9+vVrcRZ1a/rcyI3T6WTAgAGd+h6RkZG99g8Wen//oPf3sbf3D3p/H3t7/6D397G39w+s7+PpRmyaqaBYREREehWFGxEREelVFG4s5PF4eOCBB3rtjTp7e/+g9/ext/cPen8fe3v/oPf3sbf3D+zvY58rKBYREZHeTSM3IiIi0qso3IiIiEivonAjIiIivYrCjYiIiPQqCjcWWbZsGWlpaXi9XqZOncqGDRvsblKH/fznP8fhcLR4jBw5MvB6XV0dt912G3FxcYSHh/Otb32L/Px8G1vcto8++ojZs2fTr18/HA4Hb7zxRovXDcNg8eLFpKSkEBISQkZGBvv27WuxTklJCTfccAORkZFER0fz/e9/n6qqqi7sRdtO18d58+addEyvuOKKFut05z4uWbKE8847j4iICBITE7nmmmvYs2dPi3Xa83eZnZ3NVVddRWhoKImJifz4xz+mqampK7vSqvb0b8aMGScdw1tvvbXFOt21fwBPPfUU48aNC1zULT09nXfeeSfwek8+fnD6/vX04/dljz76KA6HgzvuuCOwrFsdQ0PO2vLlyw23220899xzxs6dO42bb77ZiI6ONvLz8+1uWoc88MADxrnnnmvk5uYGHoWFhYHXb731ViM1NdVYvXq1sXHjRuOCCy4wpk2bZmOL27ZixQrjvvvuM1577TUDMF5//fUWrz/66KNGVFSU8cYbbxjbtm0zvv71rxuDBw82amtrA+tcccUVxvjx441169YZ//73v42hQ4ca1113XRf35NRO18e5c+caV1xxRYtjWlJS0mKd7tzHmTNnGs8//7yxY8cOY+vWrcasWbOMgQMHGlVVVYF1Tvd32dTUZIwZM8bIyMgwtmzZYqxYscKIj483Fi1aZEeXWmhP/y6++GLj5ptvbnEMy8vLA6935/4ZhmG89dZbxttvv23s3bvX2LNnj3HvvfcawcHBxo4dOwzD6NnHzzBO37+efvxOtGHDBiMtLc0YN26ccfvttweWd6djqHBjgfPPP9+47bbbAs99Pp/Rr18/Y8mSJTa2quMeeOABY/z48a2+VlZWZgQHBxv/+Mc/Ast27dplAEZmZmYXtbDjvvzF7/f7jeTkZOM3v/lNYFlZWZnh8XiMF1980TAMw/j8888NwPj0008D67zzzjuGw+Ewjhw50mVtb69ThZurr776lNv0tD4WFBQYgLF27VrDMNr3d7lixQrD6XQaeXl5gXWeeuopIzIy0qivr+/aDpzGl/tnGOaX44lfJF/Wk/rXLCYmxnj22Wd73fFr1tw/w+g9x6+ystIYNmyYsWrVqhZ96m7HUNNSZ6mhoYFNmzaRkZERWOZ0OsnIyCAzM9PGlp2dffv20a9fP8455xxuuOEGsrOzAdi0aRONjY0t+jty5EgGDhzYI/t78OBB8vLyWvQnKiqKqVOnBvqTmZlJdHQ0U6ZMCayTkZGB0+lk/fr1Xd7mjlqzZg2JiYmMGDGCH/zgBxQXFwde62l9LC8vByA2NhZo399lZmYmY8eOJSkpKbDOzJkzqaioYOfOnV3Y+tP7cv+a/e1vfyM+Pp4xY8awaNEiampqAq/1pP75fD6WL19OdXU16enpve74fbl/zXrD8bvtttu46qqrWhwr6H7/Dfa5G2daraioCJ/P1+JgASQlJbF7926bWnV2pk6dygsvvMCIESPIzc3lwQcf5KKLLmLHjh3k5eXhdruJjo5usU1SUhJ5eXn2NPgsNLe5tePX/FpeXh6JiYktXg8KCiI2NrbH9PmKK67gm9/8JoMHD+bAgQPce++9XHnllWRmZuJyuXpUH/1+P3fccQfTp09nzJgxAO36u8zLy2v1ODe/1l201j+A66+/nkGDBtGvXz8+++wz7rnnHvbs2cNrr70G9Iz+bd++nfT0dOrq6ggPD+f1119n9OjRbN26tVccv1P1D3rH8Vu+fDmbN2/m008/Pem17vbfoMKNnOTKK68M/D5u3DimTp3KoEGDePnllwkJCbGxZdJR3/nOdwK/jx07lnHjxjFkyBDWrFnDpZdeamPLztxtt93Gjh07+Pjjj+1uSqc4Vf9uueWWwO9jx44lJSWFSy+9lAMHDjBkyJCubmaHjBgxgq1bt1JeXs4rr7zC3LlzWbt2rd3Nssyp+jd69Ogef/xycnK4/fbbWbVqFV6v1+7mnJampc5SfHw8LpfrpIrw/Px8kpOTbWqVtaKjoxk+fDj79+8nOTmZhoYGysrKWqzTU/vb3Oa2jl9ycjIFBQUtXm9qaqKkpKRH9hngnHPOIT4+nv379wM9p48LFizgX//6Fx9++CEDBgwILG/P32VycnKrx7n5te7gVP1rzdSpUwFaHMPu3j+3283QoUOZPHkyS5YsYfz48TzxxBO95vidqn+t6WnHb9OmTRQUFDBp0iSCgoIICgpi7dq1PPnkkwQFBZGUlNStjqHCzVlyu91MnjyZ1atXB5b5/X5Wr17dYq61J6uqquLAgQOkpKQwefJkgoODW/R3z549ZGdn98j+Dh48mOTk5Bb9qaioYP369YH+pKenU1ZWxqZNmwLrfPDBB/j9/sD/oHqaw4cPU1xcTEpKCtD9+2gYBgsWLOD111/ngw8+YPDgwS1eb8/fZXp6Otu3b28R4latWkVkZGRg6sAup+tfa7Zu3QrQ4hh21/6dit/vp76+vscfv1Np7l9retrxu/TSS9m+fTtbt24NPKZMmcINN9wQ+L1bHUNLy5P7qOXLlxsej8d44YUXjM8//9y45ZZbjOjo6BYV4T3JXXfdZaxZs8Y4ePCg8cknnxgZGRlGfHy8UVBQYBiGebrfwIEDjQ8++MDYuHGjkZ6ebqSnp9vc6lOrrKw0tmzZYmzZssUAjKVLlxpbtmwxDh06ZBiGeSp4dHS08eabbxqfffaZcfXVV7d6KvjEiRON9evXGx9//LExbNiwbnOatGG03cfKykrj7rvvNjIzM42DBw8a77//vjFp0iRj2LBhRl1dXWAf3bmPP/jBD4yoqChjzZo1LU6lrampCaxzur/L5tNQL7/8cmPr1q3GypUrjYSEhG5xqu3p+rd//37joYceMjZu3GgcPHjQePPNN41zzjnH+MpXvhLYR3fun2EYxk9/+lNj7dq1xsGDB43PPvvM+OlPf2o4HA7jvffeMwyjZx8/w2i7f73h+LXmy2eAdadjqHBjkd///vfGwIEDDbfbbZx//vnGunXr7G5Sh82ZM8dISUkx3G630b9/f2POnDnG/v37A6/X1tYaP/zhD42YmBgjNDTU+MY3vmHk5uba2OK2ffjhhwZw0mPu3LmGYZing99///1GUlKS4fF4jEsvvdTYs2dPi30UFxcb1113nREeHm5ERkYa8+fPNyorK23oTeva6mNNTY1x+eWXGwkJCUZwcLAxaNAg4+abbz4pfHfnPrbWN8B4/vnnA+u05+8yKyvLuPLKK42QkBAjPj7euOuuu4zGxsYu7s3JTte/7Oxs4ytf+YoRGxtreDweY+jQocaPf/zjFtdJMYzu2z/DMIzvfe97xqBBgwy3220kJCQYl156aSDYGEbPPn6G0Xb/esPxa82Xw013OoYOwzAMa8eCREREROyjmhsRERHpVRRuREREpFdRuBEREZFeReFGREREehWFGxEREelVFG5ERESkV1G4ERERkV5F4UZE+rw1a9bgcDhOui+OiPRMCjciIiLSqyjciIiISK+icCMitvP7/SxZsoTBgwcTEhLC+PHjeeWVV4DjU0Zvv/0248aNw+v1csEFF7Bjx44W+3j11Vc599xz8Xg8pKWl8dhjj7V4vb6+nnvuuYfU1FQ8Hg9Dhw7lz3/+c4t1Nm3axJQpUwgNDWXatGns2bOnczsuIp1C4UZEbLdkyRL++te/8vTTT7Nz507uvPNO/uu//ou1a9cG1vnxj3/MY489xqeffkpCQgKzZ8+msbERMEPJtddey3e+8x22b9/Oz3/+c+6//35eeOGFwPY33ngjL774Ik8++SS7du3iT3/6E+Hh4S3acd999/HYY4+xceNGgoKC+N73vtcl/RcRa+nGmSJiq/r6emJjY3n//fdJT08PLL/pppuoqanhlltu4ZJLLmH58uXMmTMHgJKSEgYMGMALL7zAtddeyw033EBhYSHvvfdeYPuf/OQnvP322+zcuZO9e/cyYsQIVq1aRUZGxkltWLNmDZdccgnvv/8+l156KQArVqzgqquuora2Fq/X28mfgohYSSM3ImKr/fv3U1NTw2WXXUZ4eHjg8de//pUDBw4E1jsx+MTGxjJixAh27doFwK5du5g+fXqL/U6fPp19+/bh8/nYunUrLpeLiy++uM22jBs3LvB7SkoKAAUFBWfdRxHpWkF2N0BE+raqqioA3n77bfr379/iNY/H0yLgdFRISEi71gsODg787nA4ALMeSER6Fo3ciIitRo8ejcfjITs7m6FDh7Z4pKamBtZbt25d4PfS0lL27t3LqFGjABg1ahSffPJJi/1+8sknDB8+HJfLxdixY/H7/S1qeESk99LIjYjYKiIigrvvvps777wTv9/PhRdeSHl5OZ988gmRkZEMGjQIgIceeoi4uDiSkpK47777iI+P55prrgHgrrvu4rzzzuPhhx9mzpw5ZGZm8oc//IE//vGPAKSlpTF37ly+973v8eSTTzJ+/HgOHTpEQUEB1157rV1dF5FOonAjIrZ7+OGHSUhIYMmSJXzxxRdER0czadIk7r333sC00KOPPsrtt9/Ovn37mDBhAv/85z9xu90ATJo0iZdffpnFixfz8MMPk5KSwkMPPcS8efMC7/HUU09x77338sMf/pDi4mIGDhzIvffea0d3RaST6WwpEenWms9kKi0tJTo62u7miEgPoJobERER6VUUbkRERKRX0bSUiIiI9CoauREREZFeReFGREREehWFGxEREelVFG5ERESkV1G4ERERkV5F4UZERER6FYUbERER6VUUbkRERKRXUbgRERGRXuX/B6+u0INVMZ0cAAAAAElFTkSuQmCC",
            "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",
            "4.81 5.48 3.14 2.88\n",
            "Max Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "30.07 47.61 30.65 25.43\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",
            "************ 4 ************\n",
            "Mean Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "9.91 11.34 7.03 5.3\n",
            "Max Absolute Percentage Errors: LR, kNN, RF, ANN\n",
            "99.57 61.48 52.24 58.61\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, train_statsX)\n",
        "  YY = norm(Y_Train, train_statsY)\n",
        "  xx = normx(X_Test, train_statsX)\n",
        "  yy = norm(Y_Test, train_statsY)\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, train_statsY).to_numpy()\n",
        "  u2 = denorm(pd.Series(np.squeeze(test_predictions)), train_statsY)\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)), train_statsY)\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)), train_statsY)\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)), train_statsY)\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": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}