visualize_summaries.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['model-mse-100-10-rrrl', '.DS_Store', 'model.csv', 'model-mse-100-10-rrrl.csv', 'model_2_seiji.csv', 'model_old.csv']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>test_loss</th>\n",
       "      <th>x_train.min</th>\n",
       "      <th>x_train.max</th>\n",
       "      <th>x_train.mean</th>\n",
       "      <th>x_train.var</th>\n",
       "      <th>x_test.min</th>\n",
       "      <th>x_test.max</th>\n",
       "      <th>x_test.mean</th>\n",
       "      <th>...</th>\n",
       "      <th>z_train[7].mean</th>\n",
       "      <th>z_train[7].var</th>\n",
       "      <th>z_train[8].min</th>\n",
       "      <th>z_train[8].max</th>\n",
       "      <th>z_train[8].mean</th>\n",
       "      <th>z_train[8].var</th>\n",
       "      <th>z_train[9].min</th>\n",
       "      <th>z_train[9].max</th>\n",
       "      <th>z_train[9].mean</th>\n",
       "      <th>z_train[9].var</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.000686</td>\n",
       "      <td>0.000688</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>1.153231</td>\n",
       "      <td>0.013010</td>\n",
       "      <td>-0.020173</td>\n",
       "      <td>-0.005885</td>\n",
       "      <td>-0.011896</td>\n",
       "      <td>0.000004</td>\n",
       "      <td>0.658549</td>\n",
       "      <td>1.176056</td>\n",
       "      <td>0.901315</td>\n",
       "      <td>0.005949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.000355</td>\n",
       "      <td>0.000365</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.515554</td>\n",
       "      <td>0.006069</td>\n",
       "      <td>-0.018044</td>\n",
       "      <td>-0.001250</td>\n",
       "      <td>-0.008290</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>0.250926</td>\n",
       "      <td>0.792034</td>\n",
       "      <td>0.442034</td>\n",
       "      <td>0.007504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0.000249</td>\n",
       "      <td>0.000260</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.279213</td>\n",
       "      <td>0.004358</td>\n",
       "      <td>-0.019789</td>\n",
       "      <td>-0.003172</td>\n",
       "      <td>-0.009582</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.006525</td>\n",
       "      <td>0.438369</td>\n",
       "      <td>0.158111</td>\n",
       "      <td>0.004115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0.000243</td>\n",
       "      <td>0.000256</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.071828</td>\n",
       "      <td>0.003534</td>\n",
       "      <td>-0.019214</td>\n",
       "      <td>-0.001335</td>\n",
       "      <td>-0.008499</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>-0.012085</td>\n",
       "      <td>0.374610</td>\n",
       "      <td>0.063827</td>\n",
       "      <td>0.004622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0.000233</td>\n",
       "      <td>0.000248</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.142697</td>\n",
       "      <td>0.005704</td>\n",
       "      <td>-0.017888</td>\n",
       "      <td>0.015113</td>\n",
       "      <td>-0.006991</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>-0.014980</td>\n",
       "      <td>0.377747</td>\n",
       "      <td>0.046441</td>\n",
       "      <td>0.005298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>0.000234</td>\n",
       "      <td>0.000248</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.078404</td>\n",
       "      <td>0.005083</td>\n",
       "      <td>-0.013749</td>\n",
       "      <td>0.074955</td>\n",
       "      <td>0.004701</td>\n",
       "      <td>0.000232</td>\n",
       "      <td>-0.020478</td>\n",
       "      <td>0.347038</td>\n",
       "      <td>0.023025</td>\n",
       "      <td>0.003987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>0.000228</td>\n",
       "      <td>0.000245</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.089731</td>\n",
       "      <td>0.005526</td>\n",
       "      <td>-0.019909</td>\n",
       "      <td>0.025075</td>\n",
       "      <td>-0.008713</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>-0.018421</td>\n",
       "      <td>0.453999</td>\n",
       "      <td>0.050989</td>\n",
       "      <td>0.007822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>0.000219</td>\n",
       "      <td>0.000234</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.076265</td>\n",
       "      <td>0.006053</td>\n",
       "      <td>-0.026898</td>\n",
       "      <td>0.010022</td>\n",
       "      <td>-0.011058</td>\n",
       "      <td>0.000022</td>\n",
       "      <td>-0.019111</td>\n",
       "      <td>0.513884</td>\n",
       "      <td>0.059872</td>\n",
       "      <td>0.010089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>0.000218</td>\n",
       "      <td>0.000234</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.067428</td>\n",
       "      <td>0.006229</td>\n",
       "      <td>-0.023822</td>\n",
       "      <td>0.045236</td>\n",
       "      <td>-0.004811</td>\n",
       "      <td>0.000055</td>\n",
       "      <td>-0.019113</td>\n",
       "      <td>0.476018</td>\n",
       "      <td>0.046029</td>\n",
       "      <td>0.008525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>0.000217</td>\n",
       "      <td>0.000231</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.056991</td>\n",
       "      <td>0.005946</td>\n",
       "      <td>-0.020762</td>\n",
       "      <td>0.076094</td>\n",
       "      <td>0.002516</td>\n",
       "      <td>0.000266</td>\n",
       "      <td>-0.020813</td>\n",
       "      <td>0.527255</td>\n",
       "      <td>0.060269</td>\n",
       "      <td>0.011504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>0.000205</td>\n",
       "      <td>0.000220</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.089030</td>\n",
       "      <td>0.010071</td>\n",
       "      <td>-0.030270</td>\n",
       "      <td>0.057088</td>\n",
       "      <td>-0.007222</td>\n",
       "      <td>0.000105</td>\n",
       "      <td>-0.017824</td>\n",
       "      <td>0.537936</td>\n",
       "      <td>0.075347</td>\n",
       "      <td>0.013230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>0.000206</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.096808</td>\n",
       "      <td>0.012565</td>\n",
       "      <td>-0.038242</td>\n",
       "      <td>0.029576</td>\n",
       "      <td>-0.013384</td>\n",
       "      <td>0.000068</td>\n",
       "      <td>-0.020407</td>\n",
       "      <td>0.534270</td>\n",
       "      <td>0.064108</td>\n",
       "      <td>0.012202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>0.000198</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.092895</td>\n",
       "      <td>0.013135</td>\n",
       "      <td>-0.044162</td>\n",
       "      <td>0.015463</td>\n",
       "      <td>-0.017793</td>\n",
       "      <td>0.000070</td>\n",
       "      <td>-0.019721</td>\n",
       "      <td>0.551700</td>\n",
       "      <td>0.072570</td>\n",
       "      <td>0.013168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>0.000195</td>\n",
       "      <td>0.000211</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.115498</td>\n",
       "      <td>0.016208</td>\n",
       "      <td>-0.042850</td>\n",
       "      <td>0.043932</td>\n",
       "      <td>-0.014445</td>\n",
       "      <td>0.000086</td>\n",
       "      <td>-0.021214</td>\n",
       "      <td>0.566594</td>\n",
       "      <td>0.076842</td>\n",
       "      <td>0.013612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>0.000190</td>\n",
       "      <td>0.000206</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.117567</td>\n",
       "      <td>0.017202</td>\n",
       "      <td>-0.047536</td>\n",
       "      <td>0.032017</td>\n",
       "      <td>-0.015252</td>\n",
       "      <td>0.000097</td>\n",
       "      <td>-0.022476</td>\n",
       "      <td>0.531383</td>\n",
       "      <td>0.065684</td>\n",
       "      <td>0.011918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>0.000186</td>\n",
       "      <td>0.000202</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.081013</td>\n",
       "      <td>0.013661</td>\n",
       "      <td>-0.042596</td>\n",
       "      <td>0.061886</td>\n",
       "      <td>-0.012706</td>\n",
       "      <td>0.000143</td>\n",
       "      <td>-0.023146</td>\n",
       "      <td>0.532694</td>\n",
       "      <td>0.059787</td>\n",
       "      <td>0.010889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>0.000185</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.068196</td>\n",
       "      <td>0.012189</td>\n",
       "      <td>-0.039950</td>\n",
       "      <td>0.150043</td>\n",
       "      <td>0.003223</td>\n",
       "      <td>0.001068</td>\n",
       "      <td>-0.023060</td>\n",
       "      <td>0.545225</td>\n",
       "      <td>0.060754</td>\n",
       "      <td>0.011378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>0.000181</td>\n",
       "      <td>0.000196</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.059585</td>\n",
       "      <td>0.012886</td>\n",
       "      <td>-0.041870</td>\n",
       "      <td>0.206109</td>\n",
       "      <td>0.023287</td>\n",
       "      <td>0.002888</td>\n",
       "      <td>-0.027261</td>\n",
       "      <td>0.542928</td>\n",
       "      <td>0.050971</td>\n",
       "      <td>0.010333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>0.000182</td>\n",
       "      <td>0.000199</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.020650</td>\n",
       "      <td>0.006139</td>\n",
       "      <td>-0.045130</td>\n",
       "      <td>0.195014</td>\n",
       "      <td>0.008719</td>\n",
       "      <td>0.001779</td>\n",
       "      <td>-0.022885</td>\n",
       "      <td>0.514832</td>\n",
       "      <td>0.057444</td>\n",
       "      <td>0.009745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>0.000179</td>\n",
       "      <td>0.000196</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.035929</td>\n",
       "      <td>0.008289</td>\n",
       "      <td>-0.049520</td>\n",
       "      <td>0.266770</td>\n",
       "      <td>0.021180</td>\n",
       "      <td>0.003773</td>\n",
       "      <td>-0.021660</td>\n",
       "      <td>0.497819</td>\n",
       "      <td>0.060526</td>\n",
       "      <td>0.009832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>0.000180</td>\n",
       "      <td>0.000196</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026442</td>\n",
       "      <td>0.007831</td>\n",
       "      <td>-0.042756</td>\n",
       "      <td>0.342714</td>\n",
       "      <td>0.039382</td>\n",
       "      <td>0.005763</td>\n",
       "      <td>-0.026094</td>\n",
       "      <td>0.498217</td>\n",
       "      <td>0.044256</td>\n",
       "      <td>0.008851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>0.000176</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051290</td>\n",
       "      <td>0.010116</td>\n",
       "      <td>-0.049803</td>\n",
       "      <td>0.277411</td>\n",
       "      <td>0.013588</td>\n",
       "      <td>0.002933</td>\n",
       "      <td>-0.025650</td>\n",
       "      <td>0.494652</td>\n",
       "      <td>0.045543</td>\n",
       "      <td>0.008287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>0.000178</td>\n",
       "      <td>0.000194</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.044029</td>\n",
       "      <td>0.008110</td>\n",
       "      <td>-0.039092</td>\n",
       "      <td>0.360745</td>\n",
       "      <td>0.039834</td>\n",
       "      <td>0.005403</td>\n",
       "      <td>-0.031690</td>\n",
       "      <td>0.472531</td>\n",
       "      <td>0.028451</td>\n",
       "      <td>0.006580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>0.000176</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.037383</td>\n",
       "      <td>0.008330</td>\n",
       "      <td>-0.044881</td>\n",
       "      <td>0.316861</td>\n",
       "      <td>0.017130</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.030798</td>\n",
       "      <td>0.422911</td>\n",
       "      <td>0.027654</td>\n",
       "      <td>0.005260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>0.000175</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.034550</td>\n",
       "      <td>0.006895</td>\n",
       "      <td>-0.039418</td>\n",
       "      <td>0.329871</td>\n",
       "      <td>0.022387</td>\n",
       "      <td>0.003668</td>\n",
       "      <td>-0.029444</td>\n",
       "      <td>0.431380</td>\n",
       "      <td>0.032260</td>\n",
       "      <td>0.006079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>0.000175</td>\n",
       "      <td>0.000191</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021380</td>\n",
       "      <td>0.006447</td>\n",
       "      <td>-0.046218</td>\n",
       "      <td>0.396121</td>\n",
       "      <td>0.027964</td>\n",
       "      <td>0.005052</td>\n",
       "      <td>-0.028890</td>\n",
       "      <td>0.475188</td>\n",
       "      <td>0.044162</td>\n",
       "      <td>0.007768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>0.000175</td>\n",
       "      <td>0.000192</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.028647</td>\n",
       "      <td>0.006976</td>\n",
       "      <td>-0.042516</td>\n",
       "      <td>0.404203</td>\n",
       "      <td>0.024530</td>\n",
       "      <td>0.004399</td>\n",
       "      <td>-0.030994</td>\n",
       "      <td>0.420840</td>\n",
       "      <td>0.028595</td>\n",
       "      <td>0.005592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>0.000171</td>\n",
       "      <td>0.000187</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.037470</td>\n",
       "      <td>0.007010</td>\n",
       "      <td>-0.051329</td>\n",
       "      <td>0.417346</td>\n",
       "      <td>0.016947</td>\n",
       "      <td>0.004405</td>\n",
       "      <td>-0.035037</td>\n",
       "      <td>0.435226</td>\n",
       "      <td>0.023498</td>\n",
       "      <td>0.005736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>0.000170</td>\n",
       "      <td>0.000185</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.034984</td>\n",
       "      <td>0.007366</td>\n",
       "      <td>-0.048223</td>\n",
       "      <td>0.460424</td>\n",
       "      <td>0.023742</td>\n",
       "      <td>0.005051</td>\n",
       "      <td>-0.033258</td>\n",
       "      <td>0.482743</td>\n",
       "      <td>0.027805</td>\n",
       "      <td>0.006200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>0.000172</td>\n",
       "      <td>0.000187</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.031858</td>\n",
       "      <td>0.006206</td>\n",
       "      <td>-0.047453</td>\n",
       "      <td>0.437222</td>\n",
       "      <td>0.020296</td>\n",
       "      <td>0.004762</td>\n",
       "      <td>-0.031467</td>\n",
       "      <td>0.444156</td>\n",
       "      <td>0.030489</td>\n",
       "      <td>0.005710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>91</td>\n",
       "      <td>0.000152</td>\n",
       "      <td>0.000172</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.023473</td>\n",
       "      <td>0.007530</td>\n",
       "      <td>-0.090239</td>\n",
       "      <td>0.639701</td>\n",
       "      <td>0.053231</td>\n",
       "      <td>0.014002</td>\n",
       "      <td>-0.115766</td>\n",
       "      <td>0.630228</td>\n",
       "      <td>0.040740</td>\n",
       "      <td>0.010365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>92</td>\n",
       "      <td>0.000147</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.027419</td>\n",
       "      <td>0.008011</td>\n",
       "      <td>-0.091664</td>\n",
       "      <td>0.570304</td>\n",
       "      <td>0.030225</td>\n",
       "      <td>0.010191</td>\n",
       "      <td>-0.112883</td>\n",
       "      <td>0.624764</td>\n",
       "      <td>0.026928</td>\n",
       "      <td>0.008401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>93</td>\n",
       "      <td>0.000150</td>\n",
       "      <td>0.000169</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.024872</td>\n",
       "      <td>0.008440</td>\n",
       "      <td>-0.104471</td>\n",
       "      <td>0.555069</td>\n",
       "      <td>0.023083</td>\n",
       "      <td>0.009997</td>\n",
       "      <td>-0.128962</td>\n",
       "      <td>0.645747</td>\n",
       "      <td>0.025423</td>\n",
       "      <td>0.009210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>94</td>\n",
       "      <td>0.000148</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.021825</td>\n",
       "      <td>0.006542</td>\n",
       "      <td>-0.114077</td>\n",
       "      <td>0.576138</td>\n",
       "      <td>0.017477</td>\n",
       "      <td>0.009868</td>\n",
       "      <td>-0.137396</td>\n",
       "      <td>0.562250</td>\n",
       "      <td>0.015867</td>\n",
       "      <td>0.006971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>95</td>\n",
       "      <td>0.000146</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013694</td>\n",
       "      <td>0.006106</td>\n",
       "      <td>-0.112688</td>\n",
       "      <td>0.609946</td>\n",
       "      <td>0.031348</td>\n",
       "      <td>0.012794</td>\n",
       "      <td>-0.129379</td>\n",
       "      <td>0.594047</td>\n",
       "      <td>0.028702</td>\n",
       "      <td>0.009343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>96</td>\n",
       "      <td>0.000146</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.002396</td>\n",
       "      <td>0.003963</td>\n",
       "      <td>-0.113917</td>\n",
       "      <td>0.576194</td>\n",
       "      <td>0.019552</td>\n",
       "      <td>0.009820</td>\n",
       "      <td>-0.135190</td>\n",
       "      <td>0.573734</td>\n",
       "      <td>0.032962</td>\n",
       "      <td>0.009933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>97</td>\n",
       "      <td>0.000146</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.011214</td>\n",
       "      <td>0.005444</td>\n",
       "      <td>-0.112562</td>\n",
       "      <td>0.550894</td>\n",
       "      <td>0.021437</td>\n",
       "      <td>0.010034</td>\n",
       "      <td>-0.142982</td>\n",
       "      <td>0.563198</td>\n",
       "      <td>0.007204</td>\n",
       "      <td>0.006842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>98</td>\n",
       "      <td>0.000145</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026935</td>\n",
       "      <td>0.008049</td>\n",
       "      <td>-0.109089</td>\n",
       "      <td>0.593708</td>\n",
       "      <td>0.029620</td>\n",
       "      <td>0.011213</td>\n",
       "      <td>-0.129227</td>\n",
       "      <td>0.637415</td>\n",
       "      <td>0.026847</td>\n",
       "      <td>0.008862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>99</td>\n",
       "      <td>0.000147</td>\n",
       "      <td>0.000168</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015316</td>\n",
       "      <td>0.006987</td>\n",
       "      <td>-0.104708</td>\n",
       "      <td>0.560553</td>\n",
       "      <td>0.024674</td>\n",
       "      <td>0.009213</td>\n",
       "      <td>-0.122943</td>\n",
       "      <td>0.610970</td>\n",
       "      <td>0.017712</td>\n",
       "      <td>0.007430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>100</td>\n",
       "      <td>0.000148</td>\n",
       "      <td>0.000169</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013897</td>\n",
       "      <td>0.005905</td>\n",
       "      <td>-0.107767</td>\n",
       "      <td>0.607024</td>\n",
       "      <td>0.028205</td>\n",
       "      <td>0.010788</td>\n",
       "      <td>-0.137252</td>\n",
       "      <td>0.618034</td>\n",
       "      <td>0.007966</td>\n",
       "      <td>0.006394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>101</td>\n",
       "      <td>0.000146</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.020357</td>\n",
       "      <td>0.007014</td>\n",
       "      <td>-0.098020</td>\n",
       "      <td>0.628899</td>\n",
       "      <td>0.048236</td>\n",
       "      <td>0.013765</td>\n",
       "      <td>-0.133755</td>\n",
       "      <td>0.738704</td>\n",
       "      <td>0.024452</td>\n",
       "      <td>0.010571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>102</td>\n",
       "      <td>0.000146</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001026</td>\n",
       "      <td>0.004650</td>\n",
       "      <td>-0.112403</td>\n",
       "      <td>0.605419</td>\n",
       "      <td>0.017279</td>\n",
       "      <td>0.009246</td>\n",
       "      <td>-0.141450</td>\n",
       "      <td>0.644104</td>\n",
       "      <td>0.010800</td>\n",
       "      <td>0.007126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>103</td>\n",
       "      <td>0.000146</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.007318</td>\n",
       "      <td>0.005543</td>\n",
       "      <td>-0.101274</td>\n",
       "      <td>0.632319</td>\n",
       "      <td>0.033149</td>\n",
       "      <td>0.011301</td>\n",
       "      <td>-0.133923</td>\n",
       "      <td>0.663331</td>\n",
       "      <td>0.025542</td>\n",
       "      <td>0.010112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>104</td>\n",
       "      <td>0.000145</td>\n",
       "      <td>0.000165</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010715</td>\n",
       "      <td>0.006241</td>\n",
       "      <td>-0.115182</td>\n",
       "      <td>0.534518</td>\n",
       "      <td>0.004213</td>\n",
       "      <td>0.007265</td>\n",
       "      <td>-0.124527</td>\n",
       "      <td>0.675719</td>\n",
       "      <td>0.020345</td>\n",
       "      <td>0.009077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>105</td>\n",
       "      <td>0.000144</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026506</td>\n",
       "      <td>0.008643</td>\n",
       "      <td>-0.102409</td>\n",
       "      <td>0.645919</td>\n",
       "      <td>0.028520</td>\n",
       "      <td>0.010753</td>\n",
       "      <td>-0.127412</td>\n",
       "      <td>0.680204</td>\n",
       "      <td>0.030056</td>\n",
       "      <td>0.010386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>106</td>\n",
       "      <td>0.000144</td>\n",
       "      <td>0.000165</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.023327</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.099014</td>\n",
       "      <td>0.695956</td>\n",
       "      <td>0.048084</td>\n",
       "      <td>0.014025</td>\n",
       "      <td>-0.142127</td>\n",
       "      <td>0.626921</td>\n",
       "      <td>0.007174</td>\n",
       "      <td>0.007021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>107</td>\n",
       "      <td>0.000144</td>\n",
       "      <td>0.000165</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.016585</td>\n",
       "      <td>0.006956</td>\n",
       "      <td>-0.098753</td>\n",
       "      <td>0.699703</td>\n",
       "      <td>0.054505</td>\n",
       "      <td>0.014329</td>\n",
       "      <td>-0.140589</td>\n",
       "      <td>0.659396</td>\n",
       "      <td>0.018625</td>\n",
       "      <td>0.009066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>108</td>\n",
       "      <td>0.000146</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.023013</td>\n",
       "      <td>0.007843</td>\n",
       "      <td>-0.109025</td>\n",
       "      <td>0.709098</td>\n",
       "      <td>0.040698</td>\n",
       "      <td>0.012641</td>\n",
       "      <td>-0.129780</td>\n",
       "      <td>0.737214</td>\n",
       "      <td>0.039766</td>\n",
       "      <td>0.011677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>109</td>\n",
       "      <td>0.000144</td>\n",
       "      <td>0.000165</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013246</td>\n",
       "      <td>0.007364</td>\n",
       "      <td>-0.119057</td>\n",
       "      <td>0.608890</td>\n",
       "      <td>0.010993</td>\n",
       "      <td>0.008696</td>\n",
       "      <td>-0.153429</td>\n",
       "      <td>0.674129</td>\n",
       "      <td>0.014895</td>\n",
       "      <td>0.008938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>110</td>\n",
       "      <td>0.000144</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.025892</td>\n",
       "      <td>0.008672</td>\n",
       "      <td>-0.113211</td>\n",
       "      <td>0.590577</td>\n",
       "      <td>0.019537</td>\n",
       "      <td>0.009530</td>\n",
       "      <td>-0.151963</td>\n",
       "      <td>0.662566</td>\n",
       "      <td>0.009857</td>\n",
       "      <td>0.007628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>111</td>\n",
       "      <td>0.000142</td>\n",
       "      <td>0.000164</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.023739</td>\n",
       "      <td>0.008334</td>\n",
       "      <td>-0.110843</td>\n",
       "      <td>0.615985</td>\n",
       "      <td>0.033110</td>\n",
       "      <td>0.010958</td>\n",
       "      <td>-0.141631</td>\n",
       "      <td>0.704883</td>\n",
       "      <td>0.020007</td>\n",
       "      <td>0.009231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>112</td>\n",
       "      <td>0.000142</td>\n",
       "      <td>0.000165</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.014557</td>\n",
       "      <td>0.006822</td>\n",
       "      <td>-0.110112</td>\n",
       "      <td>0.656779</td>\n",
       "      <td>0.032895</td>\n",
       "      <td>0.011779</td>\n",
       "      <td>-0.144517</td>\n",
       "      <td>0.715698</td>\n",
       "      <td>0.021093</td>\n",
       "      <td>0.009832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>113</td>\n",
       "      <td>0.000142</td>\n",
       "      <td>0.000164</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.016398</td>\n",
       "      <td>0.007198</td>\n",
       "      <td>-0.124880</td>\n",
       "      <td>0.554920</td>\n",
       "      <td>0.019614</td>\n",
       "      <td>0.010169</td>\n",
       "      <td>-0.146108</td>\n",
       "      <td>0.705074</td>\n",
       "      <td>0.015385</td>\n",
       "      <td>0.008684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>114</td>\n",
       "      <td>0.000144</td>\n",
       "      <td>0.000166</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.016193</td>\n",
       "      <td>0.006233</td>\n",
       "      <td>-0.112039</td>\n",
       "      <td>0.618382</td>\n",
       "      <td>0.033324</td>\n",
       "      <td>0.010932</td>\n",
       "      <td>-0.131672</td>\n",
       "      <td>0.681459</td>\n",
       "      <td>0.023737</td>\n",
       "      <td>0.009387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>115</td>\n",
       "      <td>0.000143</td>\n",
       "      <td>0.000165</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.032495</td>\n",
       "      <td>0.007868</td>\n",
       "      <td>-0.119168</td>\n",
       "      <td>0.610756</td>\n",
       "      <td>0.021317</td>\n",
       "      <td>0.010079</td>\n",
       "      <td>-0.126628</td>\n",
       "      <td>0.731490</td>\n",
       "      <td>0.030296</td>\n",
       "      <td>0.010063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>116</td>\n",
       "      <td>0.000145</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.014243</td>\n",
       "      <td>0.006007</td>\n",
       "      <td>-0.123415</td>\n",
       "      <td>0.675300</td>\n",
       "      <td>0.039288</td>\n",
       "      <td>0.013420</td>\n",
       "      <td>-0.130854</td>\n",
       "      <td>0.769108</td>\n",
       "      <td>0.043584</td>\n",
       "      <td>0.012846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>117</td>\n",
       "      <td>0.000141</td>\n",
       "      <td>0.000163</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.014651</td>\n",
       "      <td>0.006804</td>\n",
       "      <td>-0.135008</td>\n",
       "      <td>0.636515</td>\n",
       "      <td>0.023279</td>\n",
       "      <td>0.011463</td>\n",
       "      <td>-0.123521</td>\n",
       "      <td>0.785529</td>\n",
       "      <td>0.031628</td>\n",
       "      <td>0.010861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>118</td>\n",
       "      <td>0.000141</td>\n",
       "      <td>0.000164</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.006654</td>\n",
       "      <td>0.005622</td>\n",
       "      <td>-0.123187</td>\n",
       "      <td>0.735982</td>\n",
       "      <td>0.046040</td>\n",
       "      <td>0.015103</td>\n",
       "      <td>-0.122108</td>\n",
       "      <td>0.805331</td>\n",
       "      <td>0.037001</td>\n",
       "      <td>0.011451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>119</td>\n",
       "      <td>0.000144</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.052799</td>\n",
       "      <td>0.012139</td>\n",
       "      <td>-0.120197</td>\n",
       "      <td>0.650734</td>\n",
       "      <td>0.040489</td>\n",
       "      <td>0.013839</td>\n",
       "      <td>-0.128813</td>\n",
       "      <td>0.806083</td>\n",
       "      <td>0.055735</td>\n",
       "      <td>0.014473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>120</td>\n",
       "      <td>0.000145</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>-2.80045</td>\n",
       "      <td>2.78271</td>\n",
       "      <td>0.004942</td>\n",
       "      <td>0.006924</td>\n",
       "      <td>-2.615</td>\n",
       "      <td>2.59069</td>\n",
       "      <td>0.004922</td>\n",
       "      <td>...</td>\n",
       "      <td>0.024691</td>\n",
       "      <td>0.007341</td>\n",
       "      <td>-0.111247</td>\n",
       "      <td>0.642731</td>\n",
       "      <td>0.038341</td>\n",
       "      <td>0.012407</td>\n",
       "      <td>-0.129164</td>\n",
       "      <td>0.719555</td>\n",
       "      <td>0.031498</td>\n",
       "      <td>0.010288</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 67 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     epoch   train_loss   test_loss   x_train.min   x_train.max  \\\n",
       "0        1     0.000686    0.000688      -2.80045       2.78271   \n",
       "1        2     0.000355    0.000365      -2.80045       2.78271   \n",
       "2        3     0.000249    0.000260      -2.80045       2.78271   \n",
       "3        4     0.000243    0.000256      -2.80045       2.78271   \n",
       "4        5     0.000233    0.000248      -2.80045       2.78271   \n",
       "5        6     0.000234    0.000248      -2.80045       2.78271   \n",
       "6        7     0.000228    0.000245      -2.80045       2.78271   \n",
       "7        8     0.000219    0.000234      -2.80045       2.78271   \n",
       "8        9     0.000218    0.000234      -2.80045       2.78271   \n",
       "9       10     0.000217    0.000231      -2.80045       2.78271   \n",
       "10      11     0.000205    0.000220      -2.80045       2.78271   \n",
       "11      12     0.000206    0.000221      -2.80045       2.78271   \n",
       "12      13     0.000198    0.000214      -2.80045       2.78271   \n",
       "13      14     0.000195    0.000211      -2.80045       2.78271   \n",
       "14      15     0.000190    0.000206      -2.80045       2.78271   \n",
       "15      16     0.000186    0.000202      -2.80045       2.78271   \n",
       "16      17     0.000185    0.000200      -2.80045       2.78271   \n",
       "17      18     0.000181    0.000196      -2.80045       2.78271   \n",
       "18      19     0.000182    0.000199      -2.80045       2.78271   \n",
       "19      20     0.000179    0.000196      -2.80045       2.78271   \n",
       "20      21     0.000180    0.000196      -2.80045       2.78271   \n",
       "21      22     0.000176    0.000192      -2.80045       2.78271   \n",
       "22      23     0.000178    0.000194      -2.80045       2.78271   \n",
       "23      24     0.000176    0.000192      -2.80045       2.78271   \n",
       "24      25     0.000175    0.000192      -2.80045       2.78271   \n",
       "25      26     0.000175    0.000191      -2.80045       2.78271   \n",
       "26      27     0.000175    0.000192      -2.80045       2.78271   \n",
       "27      28     0.000171    0.000187      -2.80045       2.78271   \n",
       "28      29     0.000170    0.000185      -2.80045       2.78271   \n",
       "29      30     0.000172    0.000187      -2.80045       2.78271   \n",
       "..     ...          ...         ...           ...           ...   \n",
       "90      91     0.000152    0.000172      -2.80045       2.78271   \n",
       "91      92     0.000147    0.000167      -2.80045       2.78271   \n",
       "92      93     0.000150    0.000169      -2.80045       2.78271   \n",
       "93      94     0.000148    0.000168      -2.80045       2.78271   \n",
       "94      95     0.000146    0.000167      -2.80045       2.78271   \n",
       "95      96     0.000146    0.000166      -2.80045       2.78271   \n",
       "96      97     0.000146    0.000167      -2.80045       2.78271   \n",
       "97      98     0.000145    0.000166      -2.80045       2.78271   \n",
       "98      99     0.000147    0.000168      -2.80045       2.78271   \n",
       "99     100     0.000148    0.000169      -2.80045       2.78271   \n",
       "100    101     0.000146    0.000167      -2.80045       2.78271   \n",
       "101    102     0.000146    0.000167      -2.80045       2.78271   \n",
       "102    103     0.000146    0.000167      -2.80045       2.78271   \n",
       "103    104     0.000145    0.000165      -2.80045       2.78271   \n",
       "104    105     0.000144    0.000166      -2.80045       2.78271   \n",
       "105    106     0.000144    0.000165      -2.80045       2.78271   \n",
       "106    107     0.000144    0.000165      -2.80045       2.78271   \n",
       "107    108     0.000146    0.000167      -2.80045       2.78271   \n",
       "108    109     0.000144    0.000165      -2.80045       2.78271   \n",
       "109    110     0.000144    0.000166      -2.80045       2.78271   \n",
       "110    111     0.000142    0.000164      -2.80045       2.78271   \n",
       "111    112     0.000142    0.000165      -2.80045       2.78271   \n",
       "112    113     0.000142    0.000164      -2.80045       2.78271   \n",
       "113    114     0.000144    0.000166      -2.80045       2.78271   \n",
       "114    115     0.000143    0.000165      -2.80045       2.78271   \n",
       "115    116     0.000145    0.000167      -2.80045       2.78271   \n",
       "116    117     0.000141    0.000163      -2.80045       2.78271   \n",
       "117    118     0.000141    0.000164      -2.80045       2.78271   \n",
       "118    119     0.000144    0.000167      -2.80045       2.78271   \n",
       "119    120     0.000145    0.000167      -2.80045       2.78271   \n",
       "\n",
       "      x_train.mean   x_train.var   x_test.min   x_test.max   x_test.mean  \\\n",
       "0         0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "1         0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "2         0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "3         0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "4         0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "5         0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "6         0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "7         0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "8         0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "9         0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "10        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "11        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "12        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "13        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "14        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "15        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "16        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "17        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "18        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "19        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "20        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "21        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "22        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "23        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "24        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "25        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "26        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "27        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "28        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "29        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "..             ...           ...          ...          ...           ...   \n",
       "90        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "91        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "92        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "93        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "94        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "95        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "96        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "97        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "98        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "99        0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "100       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "101       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "102       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "103       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "104       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "105       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "106       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "107       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "108       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "109       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "110       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "111       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "112       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "113       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "114       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "115       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "116       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "117       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "118       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "119       0.004942      0.006924       -2.615      2.59069      0.004922   \n",
       "\n",
       "          ...          z_train[7].mean   z_train[7].var   z_train[8].min  \\\n",
       "0         ...                 1.153231         0.013010        -0.020173   \n",
       "1         ...                 0.515554         0.006069        -0.018044   \n",
       "2         ...                 0.279213         0.004358        -0.019789   \n",
       "3         ...                 0.071828         0.003534        -0.019214   \n",
       "4         ...                 0.142697         0.005704        -0.017888   \n",
       "5         ...                 0.078404         0.005083        -0.013749   \n",
       "6         ...                 0.089731         0.005526        -0.019909   \n",
       "7         ...                 0.076265         0.006053        -0.026898   \n",
       "8         ...                 0.067428         0.006229        -0.023822   \n",
       "9         ...                 0.056991         0.005946        -0.020762   \n",
       "10        ...                 0.089030         0.010071        -0.030270   \n",
       "11        ...                 0.096808         0.012565        -0.038242   \n",
       "12        ...                 0.092895         0.013135        -0.044162   \n",
       "13        ...                 0.115498         0.016208        -0.042850   \n",
       "14        ...                 0.117567         0.017202        -0.047536   \n",
       "15        ...                 0.081013         0.013661        -0.042596   \n",
       "16        ...                 0.068196         0.012189        -0.039950   \n",
       "17        ...                 0.059585         0.012886        -0.041870   \n",
       "18        ...                 0.020650         0.006139        -0.045130   \n",
       "19        ...                 0.035929         0.008289        -0.049520   \n",
       "20        ...                 0.026442         0.007831        -0.042756   \n",
       "21        ...                 0.051290         0.010116        -0.049803   \n",
       "22        ...                 0.044029         0.008110        -0.039092   \n",
       "23        ...                 0.037383         0.008330        -0.044881   \n",
       "24        ...                 0.034550         0.006895        -0.039418   \n",
       "25        ...                 0.021380         0.006447        -0.046218   \n",
       "26        ...                 0.028647         0.006976        -0.042516   \n",
       "27        ...                 0.037470         0.007010        -0.051329   \n",
       "28        ...                 0.034984         0.007366        -0.048223   \n",
       "29        ...                 0.031858         0.006206        -0.047453   \n",
       "..        ...                      ...              ...              ...   \n",
       "90        ...                 0.023473         0.007530        -0.090239   \n",
       "91        ...                 0.027419         0.008011        -0.091664   \n",
       "92        ...                 0.024872         0.008440        -0.104471   \n",
       "93        ...                 0.021825         0.006542        -0.114077   \n",
       "94        ...                 0.013694         0.006106        -0.112688   \n",
       "95        ...                -0.002396         0.003963        -0.113917   \n",
       "96        ...                 0.011214         0.005444        -0.112562   \n",
       "97        ...                 0.026935         0.008049        -0.109089   \n",
       "98        ...                 0.015316         0.006987        -0.104708   \n",
       "99        ...                 0.013897         0.005905        -0.107767   \n",
       "100       ...                 0.020357         0.007014        -0.098020   \n",
       "101       ...                 0.001026         0.004650        -0.112403   \n",
       "102       ...                 0.007318         0.005543        -0.101274   \n",
       "103       ...                 0.010715         0.006241        -0.115182   \n",
       "104       ...                 0.026506         0.008643        -0.102409   \n",
       "105       ...                 0.023327         0.008590        -0.099014   \n",
       "106       ...                 0.016585         0.006956        -0.098753   \n",
       "107       ...                 0.023013         0.007843        -0.109025   \n",
       "108       ...                 0.013246         0.007364        -0.119057   \n",
       "109       ...                 0.025892         0.008672        -0.113211   \n",
       "110       ...                 0.023739         0.008334        -0.110843   \n",
       "111       ...                 0.014557         0.006822        -0.110112   \n",
       "112       ...                 0.016398         0.007198        -0.124880   \n",
       "113       ...                 0.016193         0.006233        -0.112039   \n",
       "114       ...                 0.032495         0.007868        -0.119168   \n",
       "115       ...                 0.014243         0.006007        -0.123415   \n",
       "116       ...                 0.014651         0.006804        -0.135008   \n",
       "117       ...                 0.006654         0.005622        -0.123187   \n",
       "118       ...                 0.052799         0.012139        -0.120197   \n",
       "119       ...                 0.024691         0.007341        -0.111247   \n",
       "\n",
       "      z_train[8].max   z_train[8].mean   z_train[8].var   z_train[9].min  \\\n",
       "0          -0.005885         -0.011896         0.000004         0.658549   \n",
       "1          -0.001250         -0.008290         0.000006         0.250926   \n",
       "2          -0.003172         -0.009582         0.000005         0.006525   \n",
       "3          -0.001335         -0.008499         0.000006        -0.012085   \n",
       "4           0.015113         -0.006991         0.000010        -0.014980   \n",
       "5           0.074955          0.004701         0.000232        -0.020478   \n",
       "6           0.025075         -0.008713         0.000017        -0.018421   \n",
       "7           0.010022         -0.011058         0.000022        -0.019111   \n",
       "8           0.045236         -0.004811         0.000055        -0.019113   \n",
       "9           0.076094          0.002516         0.000266        -0.020813   \n",
       "10          0.057088         -0.007222         0.000105        -0.017824   \n",
       "11          0.029576         -0.013384         0.000068        -0.020407   \n",
       "12          0.015463         -0.017793         0.000070        -0.019721   \n",
       "13          0.043932         -0.014445         0.000086        -0.021214   \n",
       "14          0.032017         -0.015252         0.000097        -0.022476   \n",
       "15          0.061886         -0.012706         0.000143        -0.023146   \n",
       "16          0.150043          0.003223         0.001068        -0.023060   \n",
       "17          0.206109          0.023287         0.002888        -0.027261   \n",
       "18          0.195014          0.008719         0.001779        -0.022885   \n",
       "19          0.266770          0.021180         0.003773        -0.021660   \n",
       "20          0.342714          0.039382         0.005763        -0.026094   \n",
       "21          0.277411          0.013588         0.002933        -0.025650   \n",
       "22          0.360745          0.039834         0.005403        -0.031690   \n",
       "23          0.316861          0.017130         0.003593        -0.030798   \n",
       "24          0.329871          0.022387         0.003668        -0.029444   \n",
       "25          0.396121          0.027964         0.005052        -0.028890   \n",
       "26          0.404203          0.024530         0.004399        -0.030994   \n",
       "27          0.417346          0.016947         0.004405        -0.035037   \n",
       "28          0.460424          0.023742         0.005051        -0.033258   \n",
       "29          0.437222          0.020296         0.004762        -0.031467   \n",
       "..               ...               ...              ...              ...   \n",
       "90          0.639701          0.053231         0.014002        -0.115766   \n",
       "91          0.570304          0.030225         0.010191        -0.112883   \n",
       "92          0.555069          0.023083         0.009997        -0.128962   \n",
       "93          0.576138          0.017477         0.009868        -0.137396   \n",
       "94          0.609946          0.031348         0.012794        -0.129379   \n",
       "95          0.576194          0.019552         0.009820        -0.135190   \n",
       "96          0.550894          0.021437         0.010034        -0.142982   \n",
       "97          0.593708          0.029620         0.011213        -0.129227   \n",
       "98          0.560553          0.024674         0.009213        -0.122943   \n",
       "99          0.607024          0.028205         0.010788        -0.137252   \n",
       "100         0.628899          0.048236         0.013765        -0.133755   \n",
       "101         0.605419          0.017279         0.009246        -0.141450   \n",
       "102         0.632319          0.033149         0.011301        -0.133923   \n",
       "103         0.534518          0.004213         0.007265        -0.124527   \n",
       "104         0.645919          0.028520         0.010753        -0.127412   \n",
       "105         0.695956          0.048084         0.014025        -0.142127   \n",
       "106         0.699703          0.054505         0.014329        -0.140589   \n",
       "107         0.709098          0.040698         0.012641        -0.129780   \n",
       "108         0.608890          0.010993         0.008696        -0.153429   \n",
       "109         0.590577          0.019537         0.009530        -0.151963   \n",
       "110         0.615985          0.033110         0.010958        -0.141631   \n",
       "111         0.656779          0.032895         0.011779        -0.144517   \n",
       "112         0.554920          0.019614         0.010169        -0.146108   \n",
       "113         0.618382          0.033324         0.010932        -0.131672   \n",
       "114         0.610756          0.021317         0.010079        -0.126628   \n",
       "115         0.675300          0.039288         0.013420        -0.130854   \n",
       "116         0.636515          0.023279         0.011463        -0.123521   \n",
       "117         0.735982          0.046040         0.015103        -0.122108   \n",
       "118         0.650734          0.040489         0.013839        -0.128813   \n",
       "119         0.642731          0.038341         0.012407        -0.129164   \n",
       "\n",
       "      z_train[9].max   z_train[9].mean   z_train[9].var  \n",
       "0           1.176056          0.901315         0.005949  \n",
       "1           0.792034          0.442034         0.007504  \n",
       "2           0.438369          0.158111         0.004115  \n",
       "3           0.374610          0.063827         0.004622  \n",
       "4           0.377747          0.046441         0.005298  \n",
       "5           0.347038          0.023025         0.003987  \n",
       "6           0.453999          0.050989         0.007822  \n",
       "7           0.513884          0.059872         0.010089  \n",
       "8           0.476018          0.046029         0.008525  \n",
       "9           0.527255          0.060269         0.011504  \n",
       "10          0.537936          0.075347         0.013230  \n",
       "11          0.534270          0.064108         0.012202  \n",
       "12          0.551700          0.072570         0.013168  \n",
       "13          0.566594          0.076842         0.013612  \n",
       "14          0.531383          0.065684         0.011918  \n",
       "15          0.532694          0.059787         0.010889  \n",
       "16          0.545225          0.060754         0.011378  \n",
       "17          0.542928          0.050971         0.010333  \n",
       "18          0.514832          0.057444         0.009745  \n",
       "19          0.497819          0.060526         0.009832  \n",
       "20          0.498217          0.044256         0.008851  \n",
       "21          0.494652          0.045543         0.008287  \n",
       "22          0.472531          0.028451         0.006580  \n",
       "23          0.422911          0.027654         0.005260  \n",
       "24          0.431380          0.032260         0.006079  \n",
       "25          0.475188          0.044162         0.007768  \n",
       "26          0.420840          0.028595         0.005592  \n",
       "27          0.435226          0.023498         0.005736  \n",
       "28          0.482743          0.027805         0.006200  \n",
       "29          0.444156          0.030489         0.005710  \n",
       "..               ...               ...              ...  \n",
       "90          0.630228          0.040740         0.010365  \n",
       "91          0.624764          0.026928         0.008401  \n",
       "92          0.645747          0.025423         0.009210  \n",
       "93          0.562250          0.015867         0.006971  \n",
       "94          0.594047          0.028702         0.009343  \n",
       "95          0.573734          0.032962         0.009933  \n",
       "96          0.563198          0.007204         0.006842  \n",
       "97          0.637415          0.026847         0.008862  \n",
       "98          0.610970          0.017712         0.007430  \n",
       "99          0.618034          0.007966         0.006394  \n",
       "100         0.738704          0.024452         0.010571  \n",
       "101         0.644104          0.010800         0.007126  \n",
       "102         0.663331          0.025542         0.010112  \n",
       "103         0.675719          0.020345         0.009077  \n",
       "104         0.680204          0.030056         0.010386  \n",
       "105         0.626921          0.007174         0.007021  \n",
       "106         0.659396          0.018625         0.009066  \n",
       "107         0.737214          0.039766         0.011677  \n",
       "108         0.674129          0.014895         0.008938  \n",
       "109         0.662566          0.009857         0.007628  \n",
       "110         0.704883          0.020007         0.009231  \n",
       "111         0.715698          0.021093         0.009832  \n",
       "112         0.705074          0.015385         0.008684  \n",
       "113         0.681459          0.023737         0.009387  \n",
       "114         0.731490          0.030296         0.010063  \n",
       "115         0.769108          0.043584         0.012846  \n",
       "116         0.785529          0.031628         0.010861  \n",
       "117         0.805331          0.037001         0.011451  \n",
       "118         0.806083          0.055735         0.014473  \n",
       "119         0.719555          0.031498         0.010288  \n",
       "\n",
       "[120 rows x 67 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(os.listdir('summary'))\n",
    "summary = pd.read_csv('summary/model.csv')\n",
    "summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(summary['epoch'], summary[' train_loss'], label='training loss')\n",
    "ax.plot(summary['epoch'], summary[' test_loss'], label='test loss')\n",
    "ax.set(xlabel='training epochs', ylabel='loss', title='test / train loss')\n",
    "ax.legend()\n",
    "ax.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x11ecb9940>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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rD/ytX4Q3HmqlwvA2AP6a4aUZYjFJ75FNHHj7TcLxCU9/KMp7jn2X25p+MKTt757dxNd/ff+oDsCJlnaKaCGWfdawY9a5F9KSuoQLO/7O83sbKKORaLou6iFzBr0GfZ2Kfek6XHm6Jx/uqMUbjJAj2wk7CvBY83EFE1vk1u4N8gH3Q/zN/H22Hx7qhEgpyQwep8GxFC8pGDsnNnKdbmbtClVbzMtxqcd4fe5W/D3609hkT0Pa0zESRQbHr2vRR0+7Lu5mlz7Zl1GsD/G7juvinuE9QpNV/7K9d927aJIZdO7SV8p5/CGW+7fSY0xnqVbLlifvG3LtI/u2654y0HEi8Y0k3tr1Nrcd+gwPPPBrWntGzzaxNOu1OebHqunyjp5pkta6hRPGUiyu4TFyS95izCJK/dHxM2ainfqkdvk511CZ9j6WtT1HoLVmWLve+Cpin7CRHzlBKKKLx6Yj7Xzrib10eIOIrhrCGDGmF4FmoFukY+wdfyHToeNNzBMNGArPHr2RwUhH1hpWhHfT1Cupq3yIHNFNSeDQmDn9ew8dolDoD6YV9X/G3RtiYfvL1NiX0ZR5AWeF9tMxxvt8MrGY5P+9tJ+PGl7mLxt2cqJz+MPaEtDvd71hC3/637/S1Rua8PUHc1Hd3TyufYcn4ouADu97iwKhl+xIad01rH19l58fi3v4QewuttXojtJb+4+whkMUySa8g8JES47cy8+DP6Shc+QQZOORXWhC4ihePuJx16WfY57WyLan7sUhAlhydUcKITAV6ueYF61DOAuIYEBzH6e5vYts4Ua4CgmmFpMfax5z9HAy22s7uUjbh0WECR1+ZcixVk+AYtlEJL2cNmsxrt7h3+GZyKwVd3vMS5spH4BQz0BYxpTiQrPrC2j97onnSvs6dY/anq6Le3FJOT3SRrj5ELFIhMLIcXqdCwBYWZzOVuMaMpvfgEiI/bs2kyc6aV3znzTaF1LRcB8d3oE8XM/RgRh4b0viXoE49gqrtKP8KHgHb9y1Hk/vcK9aSkmuVxfkNNFLzbGRvfd2dw9nhQ/SlXPeiMez5q4EwH187AVHAIaeenxYMToySb/wYwDU7hoeTuj7HJodS8gVXZxo1kV72/O/59KdX+TWXz+JobuWDmOuHk4BPOZs7MHxPdf2ozswCEnGvHPHbGdfdAVlWgsv7D3BjYEnASijgcbO0R2A9kP659Y67/0sFrX845EfM58TBBa+F9PciyjS2thz4OC4Nvbx/L4mbuq4jx+ZHuIBwx3cMUJYKCXSyVHbcsL2Ofxr+GG+9rfdCZdRiMYkBcGjOIWPxjcfJxSJ4TiuC5rHVsiC8EFaPUOdhKMNbRSLVpZodezYpdvVvPNZDELq12keGHG6AidwiADVVSN/R7wn9Ndz5438wLWuvBmfKZ1/jf4JgMySgclL88J3Qc5SyF0OBiOdhmxsvQ10NtXq52aVINJLyRcdnOiYuPN26PBBSjT9+1TufoNu38BDs672mP6QyVmI31lOQbQef2j6ynBMlNkp7pEQNoJ47UUAhL2dhPoWNTnSMTn0SVFPApUhQx5dcJxZBQBkpVqoE/mYu4/SUncAqwgjcvWhvxCCYNmV2KQP75HX6d33PACF578X67U/Jl90EDkwUP/C0rwTr9CzKqLtw72CaEzyo2cP8PqRkevhmNoP4xM2Ghbcyo3Bpzh69weGtalvd7NI1lLvXAVA97GRQwaHd27ELoKkLrp8xONpRXofo63ji5bV10iHYQ4IweLl5+KVVvzVW4e1C3l1jzGcfw4AbTV7cfvCXNHxGFcbdvDH6NdZEjtMT0px/zkB6xxckQk8nBv10Yq5aPWYzTKWXgXAB31/ZoHWgDt/LRYRoeHY6CMUU+N2wpjIvunnuEUq722+k6gUlKy9hdxllwHQdbCyv/1YIhyNSba/8Ac+YXwJOfdylooa3nfs21QebBhyflq0k157EaYrv8NqrQrr4Sf5/abEPMm69h7mol/38sBL/OaVKi6M7cTjOgvf3HexQlSzp27od62tbh9avK6PuepppJRkNAx4uJ3xSc1oTJIV0X8r3TXDRwAAovUgIUxYc4bH3AEwWtDWfJIcoTtkjoJBIbULPw+3vwHxFNMeWz5poSa88RGhI6cM25xyjCLWX/M/GpPjPwBr9PkRX/pCLtN2seXYwHer47i+BiK9ZDHanAXkii5qGqYuzfJ0MSvFvb+0rzOfoDQifZ1EffprKc50zKlxz7174p57zNNCRGqkZ+meuxCCNmsp6b46Oqr1WKWzeEV/+4UXXE9Qmmja9iS5LRupNs3HkpZPxtIrOZx6Hpf3Pkd3Ty/RmKSodz8NqSvpEi6MnuPD7n3XP3azausXefHRu4YtzwZI9x2jzTqXgg/fxVvFn+Fs3yZq9mwa0qbu4DYsIkxs1a1E0JBNb4/Yz95DG4hJQdGqq0Y8LiwOWg052LrHH2GkhZrxWPIAcNgsHDMvxNkx/L6RuLhnLLpYt6HxIFt372G5Vk37/A+Q7nKSK7rILR2I0UZScsmWHeN6UGndB3AbM8GZN7axcxbjNaZzvWErfuscDFfomUs9x0cuUeANRijy7actdRHCls6x4g9gFlGqbCuwZxRgLliBT9ixNukPs9++Vs3Fd2wYNUzzz81v8SXfnXSnL0N8+HGi1/6Cyw1v433yqwP3DITIxE3MMQdWfgRZsJpfWH7Liy8+w87jE19xfbzmCCkiSCC1lPO1g7y+8WVWiyosi9eRsfBiLCJM8+GhD/9gk/4wD5jTuSi4iad31nJedBcdKbpAe1t0cW3u9pJHfK+E5uFZJVJKnD1HabaU9I/CRsJ6/m3EhIGwwQbO/FHbhRxF5MkWeuL3T8+bS1q+HqPvaT6KlJJPPPQWn3lk+6gC3xuMUOzejs+Yhnntv5MtPNTtHfj9hJr1yfy0wsW4CvUHTUvN6CPX+17Yzqd+/bdx58BON7NS3P3xcr82ZyZuHAh/Z/9GHXZnBjaXPika8Ey8MqTobaMTJy77QPZIwFVOZqyd2PGtRKUgf/7K/mMr5uaz07CU9NrnOCtyiK6Civ5jtotuJ1u42f7SX6g+UU+5aCCSv5pOcz4O/9AMkI2HW1jw5le4zvAWX4vez0MvvTXkeFtPkLLYcQLpekho4Y3fxCPteF7+2ZB2vdX6eTnLLqfRVIKre2TPO7NtK/WWuRgdmSMeB+i0zyU7UDOmNxSLSbKjrQQdAz9Mb9ZKisPVBHxDM5VkvBRE5vwLiGCA9iO439azatOv+ira+g1w7npSz/tY/zmaKx+X8NHcPvpK49aeAPOjR3GnTSAnWQhk6SUAmC+8HUfJSv0h2DKwcvXPW+t46A1dRHbXtLJMVBPL1zM2StZ9EQ8p+JZ+NG6ggRbncsp9e/nbjnr++/mDNHX38uyekT2+tMpvYxTg/OgfwWjGdO5t7Mtcx9pAZX/cv729BbOIYkjNAc2AuOVxDGn5/N70M37+x6cnvDq6P6R2+beIofEz4/0YRQzLWeswl54PgDwxdIRl6qwihkbonNtZqtWy//l7cQo/5gv1pLlIfH6l5UQ1RqHPmbg8VcO+I2/XtjIvepRI5qKxjXQVoq34EKbSC/u99JEQ6cXkiG5CLVXEEBjTCrDn6OIeaa/htSPtHDxyjB0Hj/L07pEnWXfWdXKedoDevPMxLlpHDA177UDxMWP3MYJYEM4CssqWAdDboIc13b7wsNj+/B0/4FddX+Az9zzLnvpupotZKe6+Hl3cjfZ0ekQqhkAXMuAhLA2kOlJxpOnpjGHvxHdjMgba6RZpaIMWqxjnLASgoOkl6kUeaS5X/zEhBN2Fl5MV68AgJGkr3t1/rPjc99BKBs4Df6Y+7iFkLLoYn72QrHBT/w+i2R3g6GNf5xrDNiLnfBa7CFOw/Q5q2wdi6tW1NWQJD6Z8XcBc6RnszvsAyzyv0Vq9p7+drfVtuoULS2YpXc6zKAkdIRqThKMx/vjTf+XBn3yOu594lSXRQ3hyzh/zvQhlLKBUNtLRM7pn0tHVSbrwIp1F/a+llF+ISUQ5tnvoqIJAJxE0tJQMWgx52NzHKGp5lRZzMYY5C8CeAdf+HPIHHp6WdD081tUyej7zobomykUjomDVmP3pI/WcW+i1F2I455NgtNBiLOzfvSkWk+z8xx/Z+tzDbKxqo+7AVqwiTOZZ+mgjM68Ex3dOsPr6zwxcsORCFmon+PXf/skjrvt52/ZZNu4Y7vEdb2jk7NAOjhXfjJZZ1v96MHMRLtFLe4c+wnTHNwa3pMVHIY5sDLc+gc1q5Reh7/Pc9ontLhWNryWwLrySUNnlLNJOEDQ6oWANOPPpMuWQ7d7d/1CJxiTpvhq6LAU4z/kwAJ+P/JEQJlLX3EIQM5pHTz10N+kjOq8xg3JZS5N7aOz+8Eu/I1P0kH/xxxiX99wFHx27mok1W3+/Sn176dbS9dRdZyFRNAzu49z98n6esv4XL9u/xX3PvjniyPfIwT0UiA5SF18B9gxaXMtZFXiLlvi8g7O3jg5rEWgapqxyIhgQHUdo6wly7Z2v869/GZgbcfvDLAzvxyV8fEP+ng/ev4W99VNfi2kizEpx93vimTGONLwGJ6aQGxH00IMNm9lIarou7olstWcNdtBjHLpyzVmkC2pmpJVma9mwc4rOey8AHbgoW37xwAHNwKHMq1gTeZvg2/9LFEHuoguIpZWQT1u/aL729MPcJv+Oe/FHMF77U4LnfJabtI08+ve/9V+qPR4SyiobCAmVv/s/CGKi6fmfAvpQuMB3gCbHYt1DzV1BtnBz4ng1WzY8w62BP/Op4J+4/e33YRVh0pZcMeZ7YclbjEWEOXFs9Lh7Z6MegzVmlvS/Nnelvjq0q+rNIW0NATc9IhWEoDullNLgIdbI/XjL3jXq9VOz9YdGzxjb7bUf2Y4mJJnzR54cHsbCa9h27t1g0z/nbsc88oP6CGXPiU6+Hn2AO013cefjz+E5qqcL2soGHoSaYWiYIWdpBQAvWr7B2tAmnNLL/ObnhjycAQ5t+jsmESXv/PcPed2apb93bfF4tq9T9zxTMgeFKTLKMH3wYQpEB82b/tjvGGyv7eTLG7wcaRm+nsPuPopbSwN7BtZzdJE1LbwKDPqq1J6sVSyTVdTESyLXdfQylwYCafMgrYgmx1J9EjXjXLA46DTOwebTbQu26SMb39yr9e0MawbCjJ09fs5rfIRG20KsZw1Psx2Gpo3ptQO48vSw0HJxDLc5nt1lMNJlysHgrqO88WkKaCEDDz8N/Zi7Xxr+cI1U6/F267wKAMSCdSzVatm47W06vEGKYg0EnHPj1zbRYcrD7qnmX/64nd7uVqpq6vpHTQeOHKNQtONLLaMitoV1YguPbx8eaj0TzEpxD3r1obrVkU7A6MIWcaOFPPSKFIQQpDnseg68f+JxSkekE79laB2T/LLFhKX+g+51LRx2zpLFy9irncW+9KuG/fApvxIpBOsir9JgKkNYnZiy5mIUMZpP6D/mvBPP0KFl4brpNyAEKVd+A685m+vqf8X+Bt32cJM+4Tc43p9fUMzWjHezuO1Fek4coKG5lTLZQChH92Cd8RWnrYe3krLlV3QJF7H1r+FfvR533kUUrhr7h5dVpqejddftGbVNT/PABFcfzqw8GrU8zM1Dt0szhdz0aql6f9LmkS86MYoYuecNFbvB9C1kCnaNXiAq1qB7VPaSNWN1Z1Qi2WdRLFpoau+gavsrZAs3JhHlm5G7KejZjceUDa7CUc+3l51HxJiC1ZGG+MRzBPPP5QOGSp7cNdRm69EX6dLSyV508ZDXnfH3zhOPJwe79ZCOM2voPUXpxXSmLuRy77PsOt5FJBrj//76J97gkzz70ktD2oajMeYEa+lOiYvVgmtg0fVo59w2YM/cCygQHRw+rHv4R5q6KBPNGHP0OQ/zivcBkLpcH4322vJIC+sVUmX3caJouOLH2o4OfNbbX3iIMtGMWPvlcUV7ovTF1y0iQsA+8NDrtRdSRgP/ZnqKWMEatA/8gWVaDUu3fZPq1oEHXigSI79rm77ILWs+AHNW3wBA7asPcvsfNlMkWtGyByZ/e1Lnkh85QfTEdt5M+Sp3ar/mrXh6aGvf9o3X/Q/kreD7xofYdXhGzh7NAAAgAElEQVR6Uidnpbj31XK3pmYSMrtIiXowhnrwxzNSjAYNj3AM2chjTKTEFesmZB0ahy7IdHIc3VvQcofHdYUQFP7Ha5xz+/3DjsXsc6hJuwAAd6YuzM64F+JurMLdG+Ks4B5aM9eAwaSfZHEgrvgOy7Uadrz2nN7HrsP0aE5wzBly/bxr/pNerMR+fxVHnvxvNCFJLdc92PyF5xCTAm3Hg5wd2cXxhbeh5a8g5T0/w/Uvz4Mldcy3IyOemhYeVCpASsl/P3eAffGl66GOWr1tXvmQc9tdyyj17Sc8aGm/JeImYNRXi5rjOc2dhkxSSs8Z1QZLui5wUffoi1WcXQfoMmRB6ug1bcbCFs+pbjqyC8vR5whjRFzzM1aLKq7VtuKbM064x2TFePvrGD+/BUouwLLmVsq1Jqp2vNrvYde2dHJ2aBvNuZfrnuogsgp0AQ62655fLF5iOjXrpAlGIUi58DMs0ep4bcM/eGxrDZ/suQ+bCDHnyGO0D5rErWv3Mk80EM3UhQyjGT70Zyi9qL9N5qK1ADQfeB2AtrpDmESUtOL4SPWiT8Ka28g8T1+3GHYUkivbcPvDWLz1dBkysRTrDkSkUfeUo9EYcw/eT4OxiLzzh2dznSoiNZ9wvERWzFnQ/3rEWcwSrY482tEu/xYsug7fxd/kesNmDrw2MPLdXtPBeWI/3rwL+h84Ws5ZROdewX+aHufdLfdgELJ/IhVAy1rAXNHE32w/wRbt4VztYL+Ay4YdRNGwl50HN9yNM9ZNheeZIaM1zwihodPBrBT3qE+fxEhxZRK1pJMqezBFvAQMA0WcvJoTY3BisTAZ6MZCmJg9e8jrmiZoMevpec7SFSOdSnqKGbt55CJM6WvX6/+Ne2xZRbr3H2itYf/eHWQJD+byS4ack7LqZoLCiv3I0wQjUeYEaui0lw/zhBYuWMTxm56lS8vgsha9NHHBEv0HbHWkUW/IZ01oG92ksug9/z6h96EPYXXRoWVi7h4oFVDf4eWcLZ9n4wvx8grdJwhJA2k5RUPONZScxxzRxaGqgZCOPeIhaNLnKzJL9MVhbflXDBO7IVid+IUN0TN0gvKeyqN87MG3+MkLBykPV9E1kcnUUcgp18W77ehOVvs2cSL9fDj3M8jyKzAIyZzFa8e/SGY5WONzMUtuJGKwcbH3H+yOx2H3vv4MDhEg+5z3DTvVllGoT+q69dCT5m0jiBlhdQ1ra1n1QYKajcLqx6h9+V4WaA30WHK5Xmzi8c0Dsfi6umqcwoc1f/T3xZC/nLBmwXxiE3Udvfga9UllS15c4OwZcP0v+8NXWnqxXhK6tZO0YCM91nxIzcVrcOHoPoSUkh0vP8o8WUvbis+N/bkmiqbRYdQdG2P6QKpsQZk+yogVnQ9z9bRUR8UXCWDBcGwghXPvrs1kCzcZS68cuKYQGG75Cyy6nlu1fwCQXjwg7iULV2ISUYxZZYj3P4xBSPxVG4jFJBnufbRZSsDigNxlBOes5ArDTjZW6ckbwUiU3/38a2zdf/pLGMxKcY/5ugnFJ09jtnRMRHBG2gkaHf1t/AbnkI08xqI3voCpr/TAYNrTltMmXRTNTVxEMs++AT70Fwrjk0vWzCI9W6Srlq5DlQAUrjwp/m1OobPgMiqim/nLm9XM4wThUTIPli8/m4KvvsGx3Gupy7wYi3Pg4dSWoj9IDpV9DIt9uFiMR5ethAz/QCyx5sg+rjbsYGX9H4lEY5i8DbRp2YiT0t3yl+oPq+b9r/e/lhLrIWLWbchZcA7usuuYd92XxrWh25SD3Tc0uyi26U4+XfefZLz5Y8pEM6aiMVamjoMrfz4+rGRXP0GhaMew5D0gBOLdv4a5FWhnXZ/YBS2pxM66gfcYtvDTp3fw9olujEeexy9sZC0bIfVUM9ChZWH26qMTU6BNnzQcKaRhdeJf9D6uE29ye+wxevPOp3rh7biEj4Yt/9dfBK07nimTWTry6lAADCYi86/l3dpmfrfhAKbO+MMha8GIze3ZpQDU11aRI1sJOYpACDyuhZRFa3hkUxVZm39IvZbPknd9amLvVQL0WPWRjC1uB9D/8NIu/9bA+2W00JC+hrN63+pfpGQ8qpcIsSy+ZuhFTVZ4/x9g1UfBnDqk74alN8IV30N84jlYdB1BQwpl7i3sOt7FYnkMf/bAe2tZfC0rtWPsOqhPzP/jzR18MfIgl5N4aYpEmZXiTsCNhxScdjOaXQ+lZEXbCA8S96DJNWQjj7HwtOs/LrNzeJ1x08X/xvdKHiHLeQqleoWARdfpQ2MAzUCbIQeb9wT2xi10a+lYcobH8rPO+yBZwkPthgdxCj+2wtFrpZtsTso/+yglX3huyOuhuVdSRz5n3fCVxO0GQunzKJH1tMfLHbhr9Ynd8+Redh86giPYRLdpeDgkvWwVQczIE/qXOxyN4cJLzBqfrDZZcX38LxhyR68F04fPUUJupKG/KqEvFOGG0POcbzzMetPzaEJStGLsyeEx0TQaTSWs5iBRBIXn36S/nlYMH3sK4lUKE8G85lYcws9F7X/lM3c/y5rAZpqy1w4r0NaHx5xDajC+OjrUgdc0+vbEaWv/BZsIkSG8pLz7DrrSlxGw5/Gu0D95Lp6CGYuH0vq98FGwnf8pXKIX/9t/J8NXrU9WWhwjtk2L13g5cXQ/eXQi4h60IW8ZC8UJWl/8BXNFE2nv+yUm88j9nAxRp36/9LxBn8eCdfCFnVA2dORrWnAVpVoLO97eRV1HL6sDW2hzLoXU4b9tDEa44W746pGhoUqLA9Z+WR/BGEz4Ci5irbaXx//5JlnCg71s0GrohevQkNjrXiUQjtK6Sff0I2VXDr/fFDMrxd0Q8uAlBZNBw+TQfwxGokTNzv42YUs6jpgHfJ1QeQfUDk3P6/F00+PRPfs+z92WPnwhzDUrirjnUxVTtimD21qAK1DPwuAeWtJXj+ilmRatI6jZ+HRUL1KVVT6xVL/BXHDj5yj87gFcaae2l7klZyEu4aOmrhYA2axP7BpFjLa3/kpmuAWffYTFJwYTDdZ5zPHqC0M8Xh+pwt8/xE8EmVFOiWilrl2vYVLT1EGBaKduwScR32yEf98LZRMInYyBO1WPTR+zr8TgGH9jkHEpuQhylvEF+SjbrJ8jW7jJXHPjqM0DKQVkRFr16paRDoKWMWzIWwELrkGcu15PGxUGLKs/wlrDXn7//Btsre7A1n1Un7x2DB+FDqF0LZG0Mj6gvcpcEc+UGYW+SXNL4xY0IbHN0edZ0svOxirCfNn0N6ILrsOx9JpRrzEZ5i5chkSQOmjyHk3TQ2InUbBGH2117XmBzbv3s1I7hnHxdWPfwDS24+Zc+i4KRTtZNfrajOwFFwwczF1OwJbDxXIH//3sPq4KvEx79nkE7eMsqpsCZq2492p6fN2cOvBjkOaBp2/Mmkaq7EXeuQoqf0zg1aGLfqrvuZmae/Q4aKhbn8hyZI6+Um6qCKUWM1/Wki86Mc29eORGJhu9pVdTpOlxvPG8sNEYvMFEomTEY+N9VTGdnipazUXUG0soOvE0WbKLiKNgxHN9qWXkRhsIR2P9FSENKYk/ZKy587GIME3H9bBBS62+JZuj4CzdE04rHucK4xObo8du/eVTJExCwKdehI8/A+vugLVfwbVqeLy9D+ksJJdOmrp6yZDdROzjiPKHH4NrB77LYtVH0JDcqG3klt9uYU6wlq6UsvGzVYTAuObjnKsdYpE4gWHO6IuOhLOAKBpLwnrIJz2ewWIu0MMTmtGM4ZqfjH2/SWA+79OIjz+je9LjYMiaR4cxh6yWTXj36KPZ9FU3TOr+hnn66PDTxucJY0LLGzSSFgLDomu4RNtD3bbnKNFaybho6kNTIzErxd0c7iFg0IeQVtdAnFlaB3nujkI0IdnsL2ZjdDmR+l39JYCjkTDz/XtY4t+Jz91GtKeFqBT9pQdOJyK9BLPQwwz5K0YfuqWf+0EAuo3Zp+T1Tpa0+ARToPkgnpCkNFqL17WQ1pLrWBI7jCYkWvoo4ppRTq7oor6lHW+8IuRYK2JHI6NIFxxPgz4K6G3QJ2kHF5qaLCXnv5djtmWUV3x0yq6JxaGHC87/LFzxnSEbVpyMKaMYo4hxuOogmaIHkWjmT8ZcKLuU2yKPc2/e88wT9ciscVaH9rHyI0jNiElEyShZNno7g5FuQxbLRDz9NTfuMWcvBEcu4rJvQXrJ6OdPFqtz4iM0IfAUXMLq2D7md7xKtzkP5pyac9RPRhluWxEZwkuHY/6wEJtp0TU4RIAfGh8iZHSgLX7P5O43QWaluFuiPQQNupfuSBvw3LVBWQaW1R/mQ6Y7eWrpXVSlX6qHaLr1CcKGI7uwiyAGIand+gz0ttFFKhmpp28LvD76lk73iNQxMxrEvCuRFifO4jF+dKcR4SwkgAVj5zGaunopFq0Y8paSe8GH+9tYB01wDcaep09OtdYeIODRPXdrauLibs/V5yMi7XrWjuzQPXjznJEn/k6FOaVLKf/aJhyZI49CTjeOnFIAOo9sAcA4wrzPuNz8EGLZB3hX55/IEF4KF6wc/xwAxxzEQn3Eoo3huQN4bXmYRJQoGqTGR7hGC3z5IFz0b4nbfBrJXHENqcLPpYY9+Mqunpqc+3K90J42UmnpskuIahZKtFYMy98P5rG3uJwqZqW426JeQibdS3dmDHg6BtuAuK9dlM9j3/o4d7x/BTkL9fzvvkqJ7Yf1H1JQmpCHX8Dob6dLpGE0nP63K71QF6aW9FVjp4wZLYgP/gnt6h+M3uZ0oml0WItJ89US6qxDE5Ks8lXkz1tGlaY/oFy5w1ftAmTFvf6exsME46UibK5TiGen5hHEgqlb9xjtnho6DVmjTvwlIxnxSUJDvNCbLeMUYrUpmXDjvXooaNH1iEXjxJgHc/GXoHQt5I2RXQOEHPq6gy5jTv9KV2Bq0x6nCOfiK/WHEJA9xnxHIriW6qup5yy8cPhBsx3DPD0d07D61im530SYyDZ7DwohWoUQo24cKISoEEK8LYTYL4TYOLUmJk6K9BK16OLucqTglfqw1zRKyl/hojWEpYHOo3pxLdmwA4+0s9l2CcWdb2IPtA4rPXC6yChcRMRgo2D1u8dvPPdSyJ0ezx30wmnFsXpiXbUApBTpuf41Je+nXTrJLhx5Es5ZoHvc0fZjROKriR2u7BHbjomm0WkpwOU/TiQaIzt4HE9KaeLXmcGkZOvhjLxefcJ6UvM+ZZfoC5bSSyd+TsFq+MSzYB57o28tXV/P0DvSJPpMw+rCP+dswqZUTGUXjd9+Isx/F1z7C1gyysPion/XH5T5p56amygT2eL8YeAu4JGRDgoh0oB7gHVSyuNCiHFmfE4z4QAWwsh4ZozRoOEWqTgIYHaMLNCLi+dQJYuwx72j9K591JgX0Ft6FamHXiEldIR622Vnxn6rE+OX9mC0T0FmxmnGOGchhc3/IMd3hIDJijVNF6JLPvRVjrSsZ7l9lOGnxUGnloHFXU3MqrdJSTsFcQf8zlLyWw5xsNFDmWiiNf3USg3MWKxOvCKFpVKvTe7KHr3cwXRiy9JHaZHUonFazgwcN/4SetsH0pAni8EI535m9OMlF+h/Z5CJ7KH6GjB6XVX4MPB3KeXxePtT39hxCoj54wuTBoVg+uqWWB1pI55jNRk4YVtAVs8BYiE/ReEa3OlLyT37WsLSgIYkZD2DYuuYMyOHsyeTVrwYTUiuNOyg0zG/32abxcjy4rFj6F3WItIDJ8DfRQyBZkt8IRWAyJhLkWjlzd37cQofltzh6wKSnS5TTv8G4ibnqZVSON3klegpo4Vzh++LOiPJWwHzJrEGIgmYCgVZAKQLISqFEDuEEBOo5Xn68PfozyHNOiDkPoPuxdtSR0+VCmQtJzXWQ+t2vUKfoWgNy+YWsR39yxpNAk/6TOOM19vIEh6iWYn9qIPOUvJjjUhfJz04TvlhZstdgEVE6Dmg19/OKJ66TJmZgs+mhzq8pIybcz1diKwFIDQsYyQBKM4sEwnLTOQaq4ErABuwWQixRUo5bKdnIcR6YD1ATk4OlZWVCd3I6/WOe06s9SCXA01dA201qf8g9h6sorp25BKx7UIX756Nd5MLNAbtvLnpNY5azuaC0D7a/VrC9o7FRPoy09GiQS5GoCFpj7k4lkB/RDSVxcKD0XOcHi2FXaf4XqR0hsgFFvW8CQbYe9xNoO3UrgUz83OxxPQJ4i7hYnsCtp3pvljPvY9AswNaTs89Z+Jnc6qcib5MhbjXAx1Syl6gVwjxGrACGCbuUsoHgAcA1qxZIysqKhK6UWVlJeOdU7fVDQegfNEyzr9Ub7tp90NEOjWuuvJqzKaRt/bKn7+U0APfYn5wP60yjfe+92ZMRgMNITMHN20gbdnVVFRcmpC9k+1LMtC1NZf0UBMrK25AJLAatN7UAi//iSUco9tUcOrvhWch7P02l2h7CGHi/HfdPOb2beMxEz+Xwx2vw94XCdrmJGTbTOzLZJhN/TkTfZmKsMxTwMVCCKMQwg6cB0x8y/cpJhTPvrAMWhRTV/ge7tZuGVXYAcrzMjmKPhlUa1mAyai3PW/lcm6I/pzc8rFTwd6p9IVmRE5iw/GsEv28TNHTn7Z6SqTmEhBWnMJPp7VoUsI+U+krzHVG530USc+4nrsQ4lGgAsgSQtQD3wNMAFLK+6SUB4UQLwJ7gBjwOynlqGmTp5u+Wu4250B8/Ybrb6Dt0nVjnmfQBE32RSz21+LOGBDyeXMc7Pmvq7GO8WB4J2OYdxnu9gZcE1j6PZjBO9+HzSNPdE8IIeiyFpLnPzqwW84sIyNf75fJdfpXSCtmD+OKu5Tylgm0+Tnw8ymxaJJEfX0bYQ947g6LEYdl/AhUOGc51L6IqWj1kNeVsI/BhV9gV2gZFYmeZ7LRbsgmK9pG1Dq5NQSB1FLwH0XLnj+p68xUUuboaYblZcMLYSkUozHz8+0SRPq7CUoTztTEVynaz34/v4m8j7yVo+/dqZg63Da99oywTcJzB9IK9aXx2aWjlz5Oapz5cP2v0FZ9ePy2CkWcqZhQnVkE3Hiwk2E1JXzq2mXzKSu8m6KMM1P74Z1O2FUG3h1oCYZ0Tia9aDHsBFtekuRYnwprzkwlQcXsYdaJu7O3lm6cZJ9COVshhBL2M4gxex40gPkUioYNYcmNIGNQcOaWdisUM53ZFZZp2k2pdxcvmyqm2xLFBChbqE9czyuZ5JJ1sx3OvnVqqvspFLOEWeW5R17/DQFs7M+7abpNUUwAw7wr4NKvYyyfuvUDCoVCZ/aIe1cd2oEn+UtkHZ++aoL1qhXTi8kKl31juq1QKGYlsyYsE9x0F1HgcOlHWVV85ncmUigUipnE7BB3fxfarkd4Onohn7xmiuozKxQKRRIzK8TdW78PUyxAQ8E1LC04tdKxCoVCMZuYFeLe0KbXk7l4ycjbuikUCsU7jVkh7pGgDwCrbeytwBQKheKdwiwRdz8AJqtagKRQKBQwS8Q9FuoTd+W5KxQKBcwacdfDMkrcFQqFQmdWiLsMq5i7QqFQDGZ2iHsoAIBFibtCoVAAs0TcifiJSA2rxTLdligUCsWMYFxxF0I8KIRoFUKMuHWeEKJCCOEWQrwd//vu1Js5DuEAAcwYDbPjWaVQKBSTZSKFwx4G7gIeGaPN61LK66fEolNARAIEMZP43ksKhUIxOxnX1ZVSvgZ0ngFbThkRDRAS5uk2Q6FQKGYMUxXHuEAIsVsI8YIQYskUXXPCaJEAIaHi7QqFQtGHkFKO30iIUuBZKeWwHYiFEE4gJqX0CiGuBX4jpRxxG3ohxHpgPUBOTs7qxx57LCFjvV4vDsfw4EvKph/girTTWHFnQtebTkbrSzKi+jIzmU19gdnVn8n05bLLLtshpVwzbkMp5bh/QCmwb4Jta4Gs8dqtXr1aJsqGDRtGfH3fTyrkgR+em/D1ppPR+pKMqL7MTGZTX6ScXf2ZTF+A7XICWjzpsIwQIlcIffNKIcS56KGejsleNxEMsQBhzXomb6lQKBQzmnGzZYQQjwIVQJYQoh74HmACkFLeB9wM3C6EiAB+4EPxp8sZwxQL4jemnslbKhQKxYxmXHGXUt4yzvG70FMlpw1TLEjUoDx3hUKh6GNWrPoxSyXuCoVCMZhZIu4hpEGlQioUCkUfs0PcCREzKs9doVAo+pgV4m6RITDaptsMhUKhmDEkvbjLaBiTiCJNynNXKBSKPpJe3IP+XgCECssoFApFP0kv7gFfXNzNKiyjUCgUfSS9uIeCcXE32afZEoVCoZg5JL+4+/X9UzXluSsUCkU/yS/uAd1zN1qU565QKBR9JL24h4PKc1coFIqTSXpxj8TF3WhWnrtCoVD0MWvE3WRNmWZLFAqFYuaQ9OIeDfkBMFlVWEahUCj6SHpxj8U9d7NFee4KhULRR/KLe1j33C02Je4KhULRR/KLezwsY1Yxd4VCoehnXHEXQjwohGgVQuwbp905QoiIEOLmqTNvAvR77ipbRqFQKPqYiOf+MLBurAZCCANwB/DSFNiUGBE/USmwWFThMIVCoehjXHGXUr4GdI7T7AvA/wGtU2FUQoQDBDAjtKSPMCkUCsWUMWlFFEIUADcC907enFO4fyRASJin49YKhUIxYzFOwTV+DXxNShkTQozZUAixHlgPkJOTQ2VlZUI38nq9w87RvF0EMCd8relmpL4kK6ovM5PZ1BeYXf05I32RUo77B5QC+0Y5VgPUxv+86KGZ9453zdWrV8tE2bBhw7DXtv/iBnn8vxYlfK3pZqS+JCuqLzOT2dQXKWdXfybTF2C7nIBuT9pzl1KW9f1bCPEw8KyU8snJXneiaNEgIc1ypm6nUCgUScG44i6EeBSoALKEEPXA9wATgJTyvtNq3QQwRgNEhBJ3hUKhGMy44i6lvGWiF5NSfmJS1pwCxliQiPLcFQqFYghJnz9ojAWJGJS4KxQKxWCSXtzNMkDMoBYwKRQKxWCSXtxNMkRUee4KhUIxhKQXd7MMETOoWu4KhUIxmKQXd4sMIo0qLKNQKBSDSX5xJ6TEXaFQKE4iqcU9HA5jFlEwqrCMQqFQDCapxd3v9wIgzErcFQqFYjBJLe5Bfy8AwqTEXaFQKAaT1OIeDuibYwuTirkrFArFYJJa3IN+XdwNFrXFnkKhUAwmqcU9HNBj7gYVllEoFIohJLW4R4L65tjKc1coFIqhJLW4h4N6WMZkVeKuUCgUg0lqcY/Gxd1oSZlmSxQKhWJmkdziHop77ioso1AoFENIanGPhfSYu9mmPHeFQqEYzLjiLoR4UAjRKoTYN8rxG4QQe4QQbwshtgshLp56M0emX9xVzF2hUCiGMBHP/WFg3RjHXwFWSClXAp8CfjcFdk2IWFgXd4tVee4KhUIxmHHFXUr5GtA5xnGvlFLG/zcFkKO1nXLi4m61K3FXKBSKwUxJzF0IcaMQ4hDwHLr3fmaIBIhJgUGVH1AoFIohiAGne4xGQpQCz0opl47T7hLgu1LKK0c5vh5YD5CTk7P6scceS8hYr9eLw+Ho///g1t9yie8ltl7214SuMxM4uS/JjOrLzGQ29QVmV38m05fLLrtsh5RyzbgNpZTj/gGlwL4Jtq0GssZrt3r1apkoGzZsGPL/b/7m47L7e/kJX2cmcHJfkhnVl5nJbOqLlLOrP5PpC7BdTkCLJx2WEULME0KI+L/PBixAx2SvOxG0aICgUJtjKxQKxckYx2sghHgUqACyhBD1wPcAE4CU8j7gJuBjQogw4Ac+GH+6nHZENEBIibtCoVAMY1xxl1LeMs7xO4A7psyiBDBEg4SVuCsUCsUwknqFqjEaIKwpcVcoFIqTSW5xjwWJKHFXKBSKYSS3uMsgUSXuCoVCMYykFndzLEjMoBYwKRQKxckkt7jLIFEl7gqFQjGM5BZ3QsSMStwVCoXiZJJa3C0yhFTirlAoFMNIWnGPxSRWgkrcFQqFYgSSVtyDoTBmEQWTbbpNUSgUihlH0op7wO/V/2FU4q5QKBQnk7TiHgr0AqCZlbgrFArFySStuAcDPkCJu0KhUIxE0op72B/33FXMXaFQKIaRvOIe1MXdYFH7pyoUCsXJJK+4B/TNsQ0W5bkrFArFySStuEeDeszdaLFPsyUKhUIx80hicdfDMkazEneFQqE4mXHFXQjxoBCiVQixb5TjHxFC7BFC7BVCvCmEWDH1Zg4nGtbDMiarirkrFArFyUzEc38YWDfG8RrgUinlMuCHwANTYNe4xEK6uFtsStwVCoXiZCayh+prQojSMY6/Oeh/twCFkzdrfPrE3WxVYRmFQqE4mamOud8GvDDF1xwRGe7z3B1n4nYKhUKRVAgp5fiNdM/9WSnl0jHaXAbcA1wspewYpc16YD1ATk7O6sceeywhY71eLw6HLubenY9yvecxNqz9K8JgTug6M4HBfUl2VF9mJrOpLzC7+jOZvlx22WU7pJRrxm0opRz3DygF9o1xfDlwDFgwketJKVm9erVMlA0bNvT/e9P9/yYj33VJGYslfJ2ZwOC+JDuqLzOT2dQXKWdXfybTF2C7nIDGTjosI4QoBv4O3CqlrJrs9SZ833CAoDCDEGfqlgqFQpE0jDuhKoR4FKgAsoQQ9cD3ABOAlPI+4LtAJnCP0IU2IicyZJgkIuoniAU1napQKBTDmUi2zC3jHP808Okps2iCaJEAQWE507dVKBSKpCBpV6gaokHCIvkmUhUKheJMkLziHgsQVp67QqFQjEjSirsxGiCsKXFXKBSKkUhecY8FiWjW6TZDoVAoZiTJLe4G5bkrFArFSCStuJtliJhBee4KhUIxEkks7gEl7gqFQjEKSSvuFkLEjErcFQqFYiSSV9xlCKk8d4VCoRiRpBR3GYthIYQ0qc2xFQqFYiSSUtyDoSBGEQMVllEoFIoRSUpx9/v0zbExqbJhCoVCMRJJKe6hgC7uQoVlFHQWXSYAABXdSURBVAqFYkSSVNx9ABgsKiyjUCgUI5Gc4u73AqCpsIxCoVCMSFKKezjY57krcVcoFIqRSEpxjwSUuCsUCsVYjCvuQogHhRCtQoh9oxxfJITYLIQICiG+MvUmDicS0sXdqMRdoVAoRmQinvvDwLoxjncC/wb8YioMmgjRuOduUuKuUCgUIzKRPVRfE0KUjnG8FWgVQlw3hXaNSSwcF3drypm6pSIJCIfD1NfXEwgETvkaLpeLgwcPTqFV08ds6gvMrv5MpC9Wq5XCwkJMJtMp3WNccZ+JxEL6j9diU567YoD6+npSU1MpLS1FCHFK1+jp6SE1NXWKLZseZlNfYHb1Z7y+SCnp6Oigvr6esrKyU7rHGRV3IcR6YD1ATk4OlZWVCZ3v9XqprKzE01AHwNu792M+1jjVZp4R+voyG5gpfXG5XGRmZuL1ek/5GtFolJ6enim0avqYTX2B2dWfifTFbDbT3d19yr+tMyruUsoHgAcA1qxZIysqKhI6v7KykoqKCt48vgE6Ye2ll2FLTTsNlp5++voyG5gpfTl48CBOp3NS13gneYfJxmzqz0T7YrVaWbVq1SndIylTIYnH3C02FXNXKAZTUVHB9u3bAbjpppvo7u6e1PUqKyu5/vrrp8K0hGlsbOTmm2+elnv7/X4uvfRSotEotf+/vbOPiuq6FvjvMIAaExCtYtTXJy5tUGAYBlD8iEaNmtRqTJZIrC6hfqTarsTEt2JN+mIWyyTPJC41L+mLGmNQq0ZejNFnmyxjA0tqk0rwgwaiYBSrhioaHaKVjxn2+2OGCQgDA4LMnZ7fWrOYe++5++49+7LnzL7n7FNSwvbt21slZ8SIEc22efzxxykuLm6V/KbwZijkDuBz4D6l1Hml1Dyl1EKl1ELX8d5KqfPAEuA/XW1ur/vUHPYKqsREQGDrHjRoNL6I3W5vU3m7du2iWzdj/rK12+306dOHDz74oEOuv2nTJh577DFMJlOTwb05n/3lL39p9lqLFi3itddea5WeTdFscBeRmSJyr4gEiUg/EXlXRNaJyDrX8X+49oeISDfX+/I217QOyn6TShXcnpfQaFpMSUkJgwcPZsGCBURFRTFx4kRu3rwJwLFjx0hKSsJsNvPoo49y9epVwNnTfvrpp0lISOCNN94gLS2NRYsWkZSUxIABA8jOzmbu3LkMHjyYtLQ097UWLVpEQkICUVFRvPjii43qEx0dzeXLl1m3bh0WiwWLxUJERARjx44FYP/+/QwfPhyr1UpycrL7WcUnn3xCZGQkVquVDz/8sFHZo0eP5tixY+7tUaNGcfz48XptkpKSKCgocG/X/qo4fPgww4cPJy4ujhEjRnDy5EkAMjIymDp1KuPGjWP8+PGUlJQQHR3t/mwnTZqE1WrFarW6g2ZtSnD69OlERkYya9YsRASA3NxcRowYQWxsLEOHDuX777/H4XDw7LPPkpiYiNlsZv369Y3at23bNh555BEAli1bRk5ODhaLhTVr1jTQ8/r164wfPx6r1UpMTAx79uxxy7n77rsb1XPevHluPe+//34OHDjQ5l/uhhwtE2CvpIpOHa2GxodJ/78CCr9teR/D4XBgMpkaPTakTwgvTolq8vzi4mJ27NjBO++8w4wZM9i1axezZ89mzpw5vPnmm4wZM4bly5eTnp7O2rVrAaiqqnKnUtLS0rh69Sqff/45e/fuZerUqRw6dIiNGzeSmJjIsWPHsFgsvPzyy3Tv3h2Hw8H48ePJz8/HbDY3qtPChQtZuHAh1dXVjBs3jiVLlnD58mVeeuklDhw4QNeuXXn11VdZvXo1S5cuZcGCBXz22WcMHDiQlJSURmXOmzePjIwM1q5dS1FRERUVFcTGxtZrk5KSQmZmJunp6ZSWllJaWkpCQgLl5eXk5OQQGBjIgQMHeP7559m1axcAR44cIT8/n+7du1NSUuKW1atXL/bs2UPPnj0pLi5m5syZ7s/s6NGjFBQU0KdPH0aOHMmhQ4cYOnQoKSkp7Ny5k8TERMrLy+nSpQvvvvsuoaGh5ObmUllZyciRI5k4cWK9ESlVVVWcPn2a/v37A7By5UpWrVrFvn37AOeXUF097XY7u3fvJiQkhMuXL5OUlMTUqVMbjNiqq2dSUhKHDh1i1KhRBAQEMHDgQI4fP058fHyT91dLMGTOPcBxkyrdc9f4IBEREVgsFgDi4+MpKSnBZrNx7do1xowZA0BqaioHDx50n3NrAJ0yZQpKKWJiYggPDycmJoaAgACioqLcAS8zMxOr1UpcXBwFBQUUFhY2q9vixYsZN24cU6ZM4YsvvqCwsJCRI0disVjYvHkzZ8+e5cSJE0RERDBo0CCUUsyePbtRWcnJyezbt4/q6mo2bdpU71dFLTNmzHCnVTIzM935c5vNRnJyMtHR0TzzzDP1evcTJkyge/fuDWRVV1fz5JNPEhMTQ3Jycj17hw4dSr9+/QgICMBisVBSUsLJkye59957SUxMBCAkJITAwED279/Pli1bsFgsDBs2jCtXrjTId1++fLnZdFZdPUWE559/HrPZzIMPPsiFCxe4ePFig3Pq6mk2mxt8eX37bduO/DNmz91RQZXSPXeNZ5rrYXvidkdkdOr0w31pMpncaZmm6Nq1/sCAWhkBAQH15AUEBGC32zlz5gyrVq0iNzeXsLAw0tLSmp24lZGRwdmzZ3nrrbcAZ0CaMGECO3bsqNeubqqlKe666y4mTJjAnj17yMzMJC8vr0Gbvn370qNHD/Lz89m5cyfr1q0D4IUXXmDs2LHs3r2bkpKSeiOtbv0salmzZg29evVi+/bt1NTU0LnzD+W+b/3Mm0pviAhvvvkmkyZN8timS5cuzX6edfXctm0bZWVl5OXlERQURP/+/Rs9vzFf1lJRUUGXLm27PoUhe+4mRyXVATq4a4xBaGgoYWFh5OTkALB161Z3L741lJeX07VrV0JDQ7l48SIff/xxk+3z8vJYtWoVv//97wkIcP7L16YFTp06BcCNGzcoKioiMjKSkpISvvnmG4AGwb8u8+fP56mnniIxMZGwsLBG26SkpPDaa69hs9ncaSObzUbfvn0B55eON9hsNnr37k1AQABbt27F4XA02f6+++6jtLSU3NxcwPmlbbfbmTRpEm+//TbV1dUAFBUVcePGjXrnhoWF4XA43AH6nnvuaXJMus1mo1evXgQFBZGVlcXZs2e9sqkuRUVF7ucLbYUhg3tgTSXVuueuMRCbN2/m2WefxWw2c+zYMZYvX95qWbGxscTFxREZGcnPf/5zRo4c2WT7t956i++++46xY8disViYP38+PXv2JCMjg5kzZ2I2mxk+fDgnTpygc+fObNiwgcmTJ2O1WunVq5dHufHx8YSEhPCLX/zCY5vp06fz/vvvM2PGDPe+pUuX8txzzxEXF+f1Q8Rf/epXbN++ndjYWE6cOOGxh19LcHAwO3fu5MknnyQ2NpYJEyZQUVHB/PnzGTJkCFarlejoaH75y182qsPEiRP585//DIDZbMZkMhEbG8uaNWsatJ01axZffvklMTExbNmyhcjISK9squXixYt06dKF3r17t+i8ZhGRDnnFx8dLS8nKyhIRkRMrEiX/vx5o8fm+RK0t/oCv2FJYWHjbMsrLy9tAE9+gvW25cOGCDBo0SBwOR7tep5Y76Zu8vDyZPXt2u8mva8vq1atl48aNjbZr7J4GvhQvYqwhe+5BNZU4AvQSexpNR7FlyxaGDRvGyy+/7E71+BNWq5WxY8c2m/5pC7p160ZqamqbyzXkA9UgqcJh0sFdo+ko5syZw5w5czpajXZl7ty5d+Q6TaW1bgdDfuUGSyU1OrhrNBqNRwwZ3DtRiQTq4K7RaDSeMGZwlypqAtt2TKhGo9H4E4YL7lJTQxdVBbrnrtFoNB4xXHCvrHTN+AvSwV2juRVd8rdtaKuSvwCvvPKK+31VVRWjR49u8yJhjWG44F5xw7XKTpBOy2j8C13y9weMUvLXG+oG9+DgYMaPH+8ulNaeGC64V1Y6pwqrIL1+qsa30CV//zVK/nqSUVpayujRo7FYLERHR5OTk8OyZcu4efMmFouFWbNmATBt2jQyMzMbvW6b4s1Mp/Z4tXaG6t+L/ybyYogc/uh3LT7fl/CVWZ1tga/YUm823x9/I7Lppy1+Vb8z0fPxP/6myeufOXNGTCaTHD16VEREkpOTZevWrSIiEhMTI9nZ2SIi8sILL8jixYtFRGTMmDGyaNEit4zU1FRJSUmRmpoa+eijj+See+6R/Px8cTgcYrVa3bKvXLkiIiJ2u13GjBkjx48fd8vLzc0VEZEf//jHUlZW5pZdVVUlo0aNkr1790pZWZncf//9cv36dRERWblypaSnp8vNmzelX79+UlRUJDU1NZKcnCyTJ09uYGtGRobbhpMnT0pj/8+rV6+W5cuXi4jIt99+Kz/5yU9ERMRms0l1dbWIiHz66afy2GOPiYjIe++9J3379nXbdubMGYmKihIRkRs3bsilS5dERKSoqMh9vaysLAkJCZFz586Jw+GQpKQkycnJkcrKSomIiJDDhw/Xu+b69etlxYoVIiJSUVEh8fHxcvr06Xp6V1ZWSnh4uHs7Kyur3mfgScaqVavkpZdecvuldhZq165d68m32+3So0ePBp9XY9zODFXDTWKqrnD23AODdVpG43t4W/I3OTnZfY43JX8Bd8lfi8VCZmYmGzZswG63U1paSmFhocd67rXULfm7b98+d8lfcOaCa+vL1Jb8BZg9ezYbNmxoICs5OZkVK1bw+uuvN1nyd+LEiaSnpzco+ZuamkpxcTFKKXcRL2i+5G9BQQEmk4mioiL3sdpSuoC75G9oaGiDkr/g/LWSn5/vTvfYbDaKi4vr1XNvruSvJxmJiYnMnTuX6upqpk2b5r4PbsVkMhEcHNzua8I2G9yVUpuAnwGXRKRB2TLlrEj/BvBT4J9AmogcaWtFa6kN7qZOOi2jaYKHV7bqtJu65G+z+sK/dsnfpmQcPHiQP/zhD6SlpbFkyRKPs3grKyvr2dAeeJNzzwAeauL4w8Ag1+sJ4O3bV8szdtdomQAd3DUGQZf89a+Sv55knD17lvDwcBYsWMD8+fM5csTZxw0KCqr36+TKlSv06NGDoKD2XQPamzVUDwLfNdHkEWCLKx30BdBNKXVvWyl4K/aqfwIQqIO7xkDokr/+U/LXk4zs7Gy3b3bu3MnixYsBeOKJJzCbze4HqllZWU3+cmgzvEnMA/2Brzwc2weMqrP9JyChOZmtfaCa93GGyIshcir/8xaf70v4ykPItsBXbNElf+ujS/62nvYs+fvoo49KXl6eV20N80BVKfUEztQN4eHhZGdnt+j869evY7t2ncrAYVw7c45zV5rOM/oy169fb7H9voqv2BIaGtrkijne4HA4bluGr9Cetmzfvp0VK1bwyiuvNEhrtBd30jeDBg1i+PDhXLt2zeOC6a2hqqqKSZMmMWDAAK9sqaioaPX/lhLXmNAmGynVH9gnjT9QXQ9ki8gO1/ZJ4AERKW1KZkJCgtTOpPOW2jGt/oC2pe35+uuvGTx48G3JaO8RDHcSf7IF/Mseb21p7J5WSuWJSEJz57bFJKa9wBzlJAmwNRfYNRqNRtO+eDMUcgfwAPAjpdR54EUgCEBE1gF/xDkM8hTOoZDtU3leo/ECEcE5OlejMTbeZFWaotngLiIzmzkuwK9vSwuNpg3o3Lmze5iZDvAaIyMiXLly5bbGwhtuhqpG44l+/fpx/vx5ysrKWi2joqKi3SeX3Cn8yRbwL3u8saVz587umbetQQd3jd8QFBRUbxp5a8jOziYuLq6NNOpY/MkW8C977oQthqsKqdFoNJrm0cFdo9Fo/BAd3DUajcYP8WoSU7tcWKky4GwLT/sRcLkd1OkItC2+ibbFd/Ene27Hln8XkZ7NNeqw4N4alFJfejMzywhoW3wTbYvv4k/23AlbdFpGo9Fo/BAd3DUajcYPMVpwb7jel3HRtvgm2hbfxZ/saXdbDJVz12g0Go13GK3nrtFoNBovMERwV0o9pJQ6qZQ6pZRa1tH6tASl1L8ppbKUUoVKqQKl1GLX/u5KqU+VUsWuv40vQumDKKVMSqmjSql9ru0IpdRfXf7ZqZQK7mgdvUUp1U0p9YFS6oRS6mul1HCj+kYp9YzrHvtKKbVDKdXZKL5RSm1SSl1SSn1VZ1+jfnCVF/9vl035Silrx2neEA+2vO66x/KVUruVUt3qHHvOZctJpVSbrb/n88FdKWUCfodzIe4hwEyl1JCO1apF2IH/EJEhQBLwa5f+y4A/icggnEsTGulLazHwdZ3tV4E1IjIQuArM6xCtWscbwCciEgnE4rTLcL5RSvUFnsK5xGU0YAIexzi+yQAeumWfJz88DAxyvZ4A3r5DOnpLBg1t+RSIFhEzUAQ8B+CKBY8DUa5z/scV824bnw/uwFDglIicFpEq4H2ci3IbAhEpFZEjrvff4wwefXHasNnVbDMwrWM0bBlKqX7AZGCja1sB44APXE2MZEsoMBp4F0BEqkTkGgb1Dc5CgF2UUoHAXUApBvGNiBwEvrtltyc/PAJscS0p+gXQTSl1753RtHkas0VE9otI7UrcXwC15R4fAd4XkUoROYNzXYyhbaGHEYJ7X+Bcne3zrn2Gw7VcYRzwVyC8zopV/wDCO0itlrIWWArUuLZ7ANfq3LhG8k8EUAa850ozbVRKdcWAvhGRC8Aq4O84g7oNyMO4vgHPfjB6TJgLfOx63262GCG4+wVKqbuBXcDTIlJe95hrwROfH7aklPoZcElE8jpalzYiELACb4tIHHCDW1IwBvJNGM5eYATQB+hKw9SAYTGKH5pDKfVbnKnabe19LSME9wvAv9XZ7ufaZxiUUkE4A/s2EfnQtfti7U9J199LHaVfCxgJTFVKleBMj43DmbPu5koFgLH8cx44LyJ/dW1/gDPYG9E3DwJnRKRMRKqBD3H6y6i+Ac9+MGRMUEqlAT8DZskPY9DbzRYjBPdcYJDrqX8wzocPeztYJ69x5aTfBb4WkdV1Du0FUl3vU4E9d1q3liIiz4lIPxHpj9MPn4nILCALmO5qZghbAETkH8A5pdR9rl3jgUIM6Buc6ZgkpdRdrnuu1hZD+saFJz/sBea4Rs0kAbY66RufRCn1EM505lQR+WedQ3uBx5VSnZRSETgfEh9uk4uKiM+/cC7AXQR8A/y2o/Vpoe6jcP6czAeOuV4/xZmr/hNQDBwAune0ri206wFgn+v9ANcNeQr4X6BTR+vXAjsswJcu/3wEhBnVN0A6cAL4CtgKdDKKb4AdOJ8VVOP8RTXPkx8AhXME3TfA33COEOpwG5qx5RTO3HptDFhXp/1vXbacBB5uKz30DFWNRqPxQ4yQltFoNBpNC9HBXaPRaPwQHdw1Go3GD9HBXaPRaPwQHdw1Go3GD9HBXaPRaPwQHdw1Go3GD9HBXaPRaPyQ/wcaemhuaetW/gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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GS5g+jGBd8HG3UFhZvpIaWw1jY8dS3lHuD8q2OFu4Z9M9PJ37dPfGRd8BsFMriHpMzBj/qiOR+9rKtSz8ZCFv57991HG4LFU06nTMcXm5qnwv5w1azG/Sf8Nlwy5jQvwEAKb2nwpAfWE0NSs9rHAKYi5p75ZnvLKX/+z/D7OTZ7PivBXcM/keli5aSqI5kbkD5nJKazAACWUWWl2tfst9dIyYqI6F3GVF5sncJ/EpPk5LPg0AnUbHuLhxbKndwh8y/4BG0vDw9If9+8Sb4mlzt+HyufzLHF6H33PrmuSrrdX+7BqA+6bcx8vzXmbx4MUYdUbumXwPldZKzvj0DO7ccCcqKkMjhxJhjKDCWsHTuU9zxbdXcHvW7Sw/uJwdjh2sKj+y9bqnaQ9XrryStVVreTL3Sf/ypQeW0t/Un5xLc1i+eDmTEybzcM7D3LP5HrbUbuHTok9578B7vSaszMpMtJKWmUkzAdBqtMxPmc+G6g3YvfZe53/vwHt9TtAA7a52Lvn6Ev60/k89CN4je7gv+z7iTHHcOvbWI17bgtQFSEisLFt5xG26UG2tptHRyPi48YyJHUOYPuyIuvu2+m3EhcT53+nhUcM52HqwV1Wsw+tgf4uodfivJfdjQCJwqNhb3bnsF0NX6wEzRj+52712omVhScltbcxNmcuD0x7079O1XV8E6ZbdVForGRwxmCRzEkmhSby+93VqbDVcNPQi/3Zd5N51jMqOSoJ1wUQHR/c65lDjUPa37D+6zpv5IN53z6POXkeyOZkZiTPQSBpe2v0SiaGJLBokqkMlSSIuJO6IlntfFpCiKryx9w3SItK4bdxtQHfJ+4bqDaiobK3dKsanKHBwFYQnk2c0kGiIJM4U5z9WmDYMjaTp0YIgrzGPOzfcKVz1yqNrjrXN4mMfif0ngKMZKnv3VYkNiWWIDF6LhOJRyFEUJCSK24r911ZqKcWn+Dg99XR/PGBE9Ag+PftTnp76MO7MZQAMqVEpaC2gxlZDhCGClLAU4PsLmbyyl79s/AvLDy7nd6f8jjGx3RPchPgJ1NhqqLZV8/Tsp3uQdNezdej92dGwA5/iY2D4QLbVb8PqsdLobOxhhY6LG8fUxKn+/0/pP4UlQ5aglbQ8NO0hPjrrI56Y9QQvzXuJFeeuYN2F63hm9jO8e8a7bLl0CzG6GJYfXN7nteTU5XDNqmswB5m5KOMiNlRvYE/THgpaC9jRsIOLh16MXqsnIzKDF+a+wA2n3sCKkhVct/o67su+j39u+ycLli/ghtU38EXxFzQ7m1lbtZbx8eP9BhPAwtSFuGV3L7K0eWz++NH7B97vsc7qsXL9muvZ37KfVRWr+KrkS2wbN4Kq8u9d/6bUUsq9k+/1/8Z9ITYklvHx4/m27Ns+rf9tddv8k2tXA7zx8eP9tQkbqzf28jgVVWF7/XYmxk/0e+LDo4bjkl094jsgPhYkqzKJoYm/GLnrfs6TSZJ0HUK6IS4ujqysrOPa32azHdM++9r2kdSmpWLCNBr/fJ1/CpNaRKaJYrORtWYN6Lov36mIdZt2b8JYbuxxvGpPNYqq4Kn1kGXJIoUUNrs2E6YNQ1emI6tcjKlDFnLMhrwNUCIIrp/Uj/XrewdoBqgDUFSF/6z5D6NNo3utBxhTvhuLpx1FDcFeYyfPkkeqPpVSdynT9dPZvKFbbzZ4DBTVFfW6P27FzWtNr+FVvVwfcz0h2hAA8hx5FLcXc2XUlbTsbyFICmJF7gqCyoJY3ricICkIr+rlpdUvMV+JYpy9kYODr2aXZyUj3Poe53HanYRqQtlTsocsSxaN3kaeqn+KME0YY9Gzumk336z9hhBNSJ/XWV2XCYBDGoqsWUf96hcpSu+ZuaKR3Uy1dmBuFccwWyWGR4wg272PLzK/IEIXwXab0Dg7ijvIquwen85rZeTeh3DVtANakpph+YYv2CeVEqaGsX3zdvSSnl1Fu4gOiu7zGZNVmdeaXmO/cz/nRJzDWOvYHr+rwWtAh44L+12IrcBGVkH3MepdYtJduXklGcEiO+uT1k8IkoKYGTSTt31v8+x3IlPIVm0jq633+bswS53FrOhZSNUSG6t711Ro0dJOO9lkM04/jpWNK1m2ahkJ+p7O9JN1T2LCxO8jfo/eoedrzdc8vPZhwrXh6CU9cQ1xZDV3j2MEI7gr4S6cipN+2n6oqGyzbyOnIYfNtd3P4Xjt+B73T1EVIrQRvLfjPUyV3WSca8/Fq3iZpE0mpymPd797l2RDMm7FzYuNL1LuLue6mOtY3bGaz957gLRlDnZdPp7/JOcxLXQacrFMVvGR7xPAYM9gtndsZ+nqpSTruyfbPY49vNH0BlpJy42xN7LFtoVQTSiVuyqpkqqItcfS5m7j8W8eZ5JpEhpJEEitp5ZWVythljD/NXZp859u/pRJoZP85/iq7Ss0aBipHclK20q+zvwak7b7+o+Vy34MTgS51wDJh/w/qXNZL6iq+irwKsD48ePV2bNnH9eJsrKyOJZ91m5eS9p+E5LSytSoFBAfZSKxM4gKMP3UU9HFxPTY76H3HyIkPoTZk3qe46vSr6AOzp56Nmn90nCVu9i8fjOXnnIp80bP82+nqAoPLH2A0IRQZo+fzVOfP8XwmOF9jlleJ2NymuiI7GD2lCNc004b+4LETzRv/DzGx4/HWmLl44Mfc+eCO9Fr9f5NMzdnkl2T3eNcbtnNzZk3U+QuQiNpeMf5Dq/Mf4W1lWtZmrOU1LBUbl90OzqNjjHfjaHB08CUGVO484M7OT/9fDbVbKLCWME4rQpIBC/4P5pXrmamMbTHebKyskgmGa1By+zZs7lxzY3ognS8PeUBmt5fwnf94wgaHMTslL6vc9nK5dAAc2ZejFYuJ7Eim8SZM0Cj7d6oZif6zS7CHYLcR7T5uHDWNLIP7CN2WCxTE6eSuyMXfZueC+ZdgE7T+WirKvxnEXJrObWOKExpEdiL2wlva8AR52BY1DBOm3UasZ/EYowyEqqE9vl7PZLzCPud+7ln0j09vLVDsUReQpA2qNfyQR2DeP6z54kfEs/sNHHsZ794lnHx47hu9nUs/WApu1SR075g4gJ/POjHwpppZY1rDZURlVwy8RL/clmRuXPZnSwZsoSzJ54NQN2+Op7KfQqdpOO8IeexaMqi7z3+BVyAoioUtBawuWYzRe1F3DLxFiKMET22275tOx8Wfsi4qeMw64U0+tX6r0iq1fPI7u2cNTmVQlMhSyYt4cbMGyn3lPP4rMdZmLqQMy1n8uamcwHoKN/JmbMW849p/0B76LNxBIx2jWb5R8tpimriinFXAMJjeWvNW4yIHoHda+eN1jfQa/VMSZ7CabOFzDbeM551X6/j/Zb32ezdzBXDrmBJ+hI+KPgA6uDK2VfSP7S//14+vexp1FiV2RNn+8/9n2//wwj9CM4YeQYr160keVRyj9/1WLnsx+BEyDIrgCs7s2YmAxZVVX/R/rkWt4Uon0h31HTY6WfoB0Cwu9sa9LW19dovPrQ7ZW191Xp/kKmkvQSdRud332cnzea6Uddx+bDLe+yvkTT+7BxZkYWGGpZMX9BKWibETzhyUFWRwVpHVad30eXmLx68mHfOeKcHsYNw/Q9tUOVTfPxp/Z/YUreFB6Y+wDOzn+Fg20HO/vxs7s2+l9Exo3nr9Lf8JDg2biyFbYVkVmTi9Dk5Lfk0FqQsENJM0beQPJFdtnIAxlh7h2BiQ2JpcDRQZa1iU80mLh16KclNRYx0uwlV6ZHV0uZq65EGWuOox6CoREcOgeHngL0RKg+7L435DG/udpNnNrsZ7BJdPIvaiwDRm39wxOBuYgcoXgOV2bjSfw9AxOL5qKhIe/KptdeSFCpkkOjg6CPKMh8WfMiygmX8dvhvj0jsQJ/EDvglrK5nq9nZTHF7MVP6TyFMH8bI6JH+4HVfwcEfCrPWzNwBc1lRsqKH3l9lrcLpc/qTCQAuyriISGMkPtXHZcMuO+ZzaCQNw6OGc+2oa3l85uO9iB2ENONVvP6UQLfsZmP1Rq7eBi1rormhJJxvy77l2tXXkteYx2MzHmNh6kIABoUPYp4ivJ0xTWE8PO3hoxK7M28XslXknkcYI5jSfwory1aiqApZVVncsvYWUsJSeGneS7wy/xVMQSZaXa3+amuAUH0on53zGY/PfJxwfTgP5zzMRV9dxJelX5JsTvYTO4i4wtDIof70WgCXz8Xe5r2MjxtPalgq0FN3L2or+nE1IceIY0mFXAZsATIkSaqWJOlqSZJukCTphs5NvgFKgWLgNeDGn2y0xwiLx0KkV5C73NZGvCkenaRDZ/cgBYugmtzeu+AnwZRAna2OV/e8yh/W/oEbM2/E4XVQ3FZMaliq/+U16ozcPObmHtpij2PY62hwNOBVvL2CqYdicvwkqm3VVFr60OSs9aDKVAUFYVAhJiSm9zaHnVdF9Qc1N1ZvJKsqizsn3Mm5aecyK3kWz5z2DD7Fx7Ujr+WV+a8QFRzl339c3DgUVeHfef8mRBfChPgJLEhdgE/1sbajGIYsYGd9LmZJx+DGEmERH4LYkFgaHY18fPBjNJKGJUOWQPkmgoBJDgfZ1RtQVZVmZzOLP1/Mczuf8+9b7WohUVGRtDoYsgB0wbD/sNTMhnxUe7D/vyM6dERaaog0RvqDqoVthf6iNECMcd0/IGIAbllMzCGnX4Y9UiW23IZP8ZFoFuGh6OBof0BVURUu/fpS5n48lwu+vIBHtz3KzKSZ3D7u9qP+BkeCQWsg0hjpj4l0TeiTEyYD3cFiU5DJb4icKFyQfgEdno4eOd+FbaIQ7NB7FRIUwr1T7uXGU29kcMTgEzqGU2NOJcGUwIqSFciKTE5dDg6fgyHVIpNnyic1RDa7yW/O5/GZj3P6wJ7JeSltYrIeVK/2nLgPg2JppfzSS2h77A7/sjMGnkGdvY7rPlrIzWtvJsmcxCvzX/EnW7w6/1XOSD3DP5l0IUgTxBkDz2DpoqU8PftpOtwd5LfkM9HQ+z0cFjmMgtYCv0a/t3kvXsXLuLhxJJmT0EgaP7k3OZo4f8X5rOv46XPfjyVb5hJVVRNUVQ1SVTVJVdU3VFV9WVXVlzvXq6qq3qSq6mBVVUeqqtp3Z62fERa3hQiPeAjk9nZSwlJIDU9FsVrRJwsLWG7rm9wL2wp5ftfzTE6YTI2thhfyXqC4vfiYH/iEUDFBHClT5lDMsTuQVJWvd77Qe2VneX11eBxJXg8a29G7CsaHdJa5dxJIfms+GknDBekX+LeZmTSTTRdv4paxt/SyfkZFj0In6aiyVjEtcRp6rZ4RERkkSgY+N5t4wlrJuL9/zB82BqPxWEUmzyGIC4mjw9PBJwc/Yc6AOcSFxELZRkgYzVSnizpnE2UdZTy14yksbkuPvik1XhuJUqcnYgiF9AWQ/4XwXrrQmI9HjkWVJHzmEIy+MGgpIS0ijZL2EpqdzbS6Wv1NtwA4+B3U7oKZf8ZVWIQ2JhpdSgZSkpEhtSqSqvot96jgKJpdgtxL2kvY27yX1LBU4kPiWTRwEY/NeOyYpIAj/j6meH8dwta6rUQYIhgaORQQgVIQ3tmhKbMnAhPiJ5AUmtSjU2JhayFaSdvrmZ47YC6/H/37E3p+EAH/CzMuJKcuh6u+u4qPCj8iNCiUkAYPIQmgReGxb8J4YdpTLEhd0GNfVVXxlJQi6fVoLRZ8TeI98LW1UXrOuTh3d9eKePPWgCLhPljgXzYnZiwGRSHXVc8Np97AB2d+QGxIrH/9oIhBPD7r8T6THrrGPi9lHl9MfYy/NbdyrbV3aunwqOE4fU4/ge+o34GExJi4Mei1ehJMCVR2CD7oSnvtir38lDgpKlQ7PB28te8t/8xpcVsIc4tLk9vauGviXTx32nPIViv6FEG2fVnuXX3dL8q4iFfmv8IF6Rew9MBSqm3VpEWkYX3uZhoun0jbXYtxvPFHVFvv1LkEUwJNzia/NTkg7MjknlC5jUkuF19UZ/V20zrJs8oQQpJPhqqjp036e5h0kntBawEDwwb6c627cCTyCAkK8VdUzk6eDR4H0keXs6Ctif0aA0OeXkNarcr4ys7jNfXsftn1wnR4Orgo4yJoLhLyyvjfMbUzVfLfu/7Nl6VfEqYXKuKjAAAgAElEQVQPo7C1EK/iFS0AVDezcjW0f95prY84r7c005iPxxWKJjYOJSEVn8sALSUMjhhMcXsxBa3ihfZbo6oKWY9Av1Q49RJchYUYhw4DIHrkKZjc0L+FHrKMxW3Bq3r9H3O5d8q9PD/3eR6Z8Qih+tCj3v/vQ3xIPOWWcl7f+zrrqtYxKaE7UHdK9CmY9eYeGTYnChpJw7TEaeQ25PrzyQvbChkYPhCD1vDDDqqq4DhMmvO5YdtrcISc9atPuZpHpj9CUVsR66vXM9d0Cj6HFtP0qfSfZie4qo1BH/SWKH1NTSgdHYQOE+Tr3C/SC21r1+EuLMSe013h6927CQBPQ7fkamot45X6Jj6ywE2jbzqidPZ9CK7by6TlRkI39K7lHBYlnqv81nx/IdfQyKGE6cMASA1L9Rcyba7ZTHRwNIlBP31C4UlB7msq1vBk7pPsbNyJqqpY3BZMnRKj3N5GdHA0SeYkFKuVoOROcu9Dcz9/yPk8e9qz3D3pbjSShtvH3U6UUUgXaeGDafpwNa07rNR/UUzFE99gv2c6lG0QO7dVwK73SNCHoyKKIvQafQ8roQdUBUrWcq7VTo3iZPthZeiqpRoVqPbZSJZVqOyD3K0N/pfJT+7Zz8DGpyhsPUyiOAZMTJiITqNjRsxYWHo+HPyOK8bcxrNrEsmolTCOGoVc04SqAE0HeuzbdZ2pYamiYrO8M5MjdQZJqaeR4pNZXbGaxNBE/jj+j3gUD6XtpaIFgKQyJM9L29L3xD5+aeazzntbDrYGPBaoNkWzw67Da1fBWktaaBIOn8NfMu7XkYtWQd1umHUXqqziLi7GOFTcj/g5wpsZWiPiLKqq+i03m2xjd9NuIgwRR/W6jhf9Q/tTY6vh2Z3PkmJO4ZqR1/jX6TQ6Xpz7IreNve2Ene9QTE6YjNPnZG/zXkBY7ofq7ceN9Y/Bv9Kh45DQWsFX8M2foDizz10kSWLx4MV8es6nXJh+IZfZBLkZR08m9LS5RGTItC1bhqe8vMd+nlIR9wozC1J1dZK7dZ2oevVWdWdhe4qEFe9t94K3kwDq9zHO7WZIaxV4f/hH3L37NuFu02MvtYK9Z2xmUPggDFoD+S35fFT4EQdaD3D58O543ICwAVR0VCArMtl12UzrP+2Ee2h94aQg965A1Z6mPTh9TjyKh2CnsIR9nfKLYneAoqCLikIKCenTcg83hDNnwBz/jTfrzdw75V4ijZGMNMbisyuEzxzBoG+Ei+uy6OHts+HFKahPj6Lu7r+SuF5om9vqt5FsTvZbZ4cj1FYKjhbmxo7FLCt8vu8tAJYVLGPRp4t4p34TLUYzTtlFkql/b3LPXwHPjIR3zwOfm5CgEMxSEPVtRbTnvkmdvc7v9h8rrh15LR+e/i79Pr8JqnJwjn4A6xPriNxdScJDDxJ5+WXg8+HxxUBjQY99u6zOS4ZeIu5f+UYw98de1IQcP4VpdhH8/Nukv/nzw/Nb8v2FRHqniru0FFVRQG+C9IVCmvG64NPrUYNC8TQ7KA+OotEQjrdNvKhpktDhV1WsIt4U3x0HyX0LTLEw8gLcpaXg9WIYKu6HYfJZOI2wYLdC3dnTKRgxnMS1IuBrkS3sbtrNqJhRP/wFrNzaPTF14rcjfsuDUx9k9W9Ws+ysZb1+m9Gxo4/q5f0YTIifgIRETn0OFreFBkfDcU/8fpRmQdY/QfFCdbdBQm1nB8uGPruU+BFviufvU/5OXImQHQ3jZ8KoC4kZ2oSk09D41NM9tncXCw84OMqD3uzDtXMrituNfbOQNzzVneQu+/B1/lt2a5DLdh42HhVaj72R2OHw5IveS26LDup6duvUaXRk9MsguyabZ3Y+w5SEKSwetNi/PiUsRRgg1euxuC3+Hv8/NU4Ocrd1k3tX6b/RISrGukhcsYrlmjAz2ojwPi33vjA7eTZZF2YR21yO7NagSx6MYdBAdPHxeKLmw4SrwRiBK+MPtJeaML+0jcG1wns4UqYMQGSreECMZ/yL0x0O1tRvJbMik8e2PYZBa+AFWyFbI4Q1nBxzirBCPZ1Vfrlvwce/hYgBgkQ/vQ7KNhLvtlNvDKXQJYKqx/sCh2j0pGc+CqVZNPkuovxvryJ3dJD08ktELFmCIV1Ye245CZp6knuSOYnli5dz8dCLhdtevgk5YQqVV11N3dsbucZi4V+xM5mZNJOUsBRCdCGC3FsLkVQVjdOH6nDgq+u0BkecB/YmeP8CqNqKPOsRFKuNAm0EzcHhqC43skdisEdk3bS6WrutUWu90NtHXwLaIFwFYqzGYcJ9lrQ6jIP6MbBGxdNgRaOF8C+/AqDB20CppdTfkuCHwPLsn2l6+M89gs7xpnjOG3Ke38P6ORFuCGdo5FBy6nL8H5MZ2u/4Jn5AeIqfXAvRQ0ATBDWH9Juv7Ww817D/mA7lLi5Fa1TRDUiHtPnooiKJOsWLddUqHDu7ydNTWoLGoEHXPwV9lIprTx6OLVtQnU600dF4qzpjP/W78XR0S5uefZ3ZWQ37wNQZBP0BnUTFYG24K0VTQXeHDrW6d5/9YRFplFhKkH1u/h6SjrTmPnjzDHgijZQOYem/f+B9NJLGH0j/qXFSkHuXzryneY+/OlXvEC99F4nLHSI9SluzAZ05FF/7sZE7CJdSPrgVVAlditClDYMH4y4thzOfhKu+xW0UqVQajczdH8qkNKg93HpVVVE93el/ka27IH4UxA7j3JCBZBR7eevNWxkYPpAPz/oQSVX5R7CIISQlTwVVFi/W6/Phy1th8Fy4fj0seBjyP4d3zyNBMlAfPZACvQhOHm4dqrJM69L3kG29S8GpyIY35kPBV/hmPEDz8g2EzjmNQV99ibkzH1c/aBBotbjsZqG5H5YxkxGZITyV5oNgb8JrHAaKgnXdBoJt6SysLxf3SNIwNHIoB1oPUNNaTIgLpM5DOYs6X8AhCyAoRMhe436HJ0TkCFeERNEULNLtfE4t4ZYaYoLFy+sPpu7+QNyvMSK32X2gAMloRJ+S4h9r+qsrSP3oAwZv20/onDloarRIqspeuyCWYyV3xelEcR7ShtnjpHFdAy27dSiNP9xSPOL53G5ky/G3/p2cMJndTbv9VZnpkb1lGW9NDY5dR+kh/8VNooHcBW9D/Eio6exHpChHJveW3plVAK7KZgyxwcI70unh8uVEjVTRGhUaH/iLv6rUXVyCIcyHlDINR9qp+Kw+2l58GI1eQ3hMJd7aWlSvFyq24LVr0fYTz4a3cA/IPmg8AEPP7BzLDyT3ujw8HSKYrsoavAdyem0ywiH45caWJpLXPARbXgTZA8ZwUrL+BYhW4adEn0JE3R60PscPG8tx4KQg9zp7HRpJQ7Oz2R9Y09qE5qa6XOIFtHWSe8EHaF2Vx2y5d8FXImZrXbyo9DOkpXXLCICrsADJqGfgvCY8eom/fiQzIKQ7aNLx5ZccnDIVT2UluDoI6yiAtLkAjEw/h+tXy1y+Hp6b8xyDIwZzi92LDVFin5R2OhgjoGITaHQw6y64ZJmQL6beDFNvAW0Q8amzqXe3UxgeS6yqJdIY2eMaHNu30/Dww3R89WX3QtkHy6+C/5whLN7zX8fhHQaqStRVV6M1m/2b/uHjvVijE3C3Ah6rmFQOD6yB/zN4ns4WQxqzmfrNCkr5VvGyITIMClsLqbSUkmjrzoop39npRutDYNRFkDgeTv8nngqRiVAbGkNzsJBevFI8NBeRFiF6+6RHpgsi2fUuJE8WFibgKijAMGQIkrY720UXHU3wqFORJAnTafNRXRIpDVDg3I8GGLY3G7XjCF0uvS4oXAmqSvVNf6Dquuv9ZOT47kN8Di2qIuHc0HfDrB+Dxsceo3Tx2ci2vrsWHgmTEibhU3x8fPBjooxRRG94Gr69q8c29Q89LK5F7qPRm8chagYm/x7ihkPiWKjNw1tVja8kVzwP4cnQUtStbTcVwvPjYPvrPQ6lyjLuJjfGAYekFfYfg+am9cTMjMZZWIn9W/G9A3dxEfpQJ8SPpOUUUTBo21ODKUnBEGcGRcFbVQaVW/A69ZimiMwjT3mpaAvtc0HyJDD3h+ajk7u3oQF3aZlIZlj1dxHrAajegbtD50+j9hTk99r39LZm/mFVuOL63fCnYvhrNVybCVeuoL82GF3n/Da9qQreXkz/2u/vefNj8asnd0VVqLfXMyFONJjqKsnW2BxogoUFK7e1IXd0yjJBoFXbkOvKj/0kqoqvQhSZ6KLFA6lPG4zqcuGtEdqh+0ABxvQM9OFa1iwMJdIGA0us8NJ0+OAyLJ98iGK30/DY41C+EY0qC+sbkOOnE90mMaBdI7I3fB4ubqpjpD6KZHMyelMM/LkE7qqAq76F0/4Gh0b9FzwEd5YRHzuSdnc7eQY9Q512cHX0uAxnnrCunHv3di/c+xHs+wSm3w4358KoC7Bv2YLGZCJ41Ej/Zu0OD9/uq6fEFIe73ipu5Mf/B48PZPz2W2Hry8JK++p2+O5vEDtcBLaAhIcewttso+VgFHz0W/DY/T05NrXsJfUQcq/fc0igdvEzcM0aCDLiKS9H0WhoNEUSkigmDZ8UC80H/Sl9Gf0yhN7dUgxjhdWuKgqu/fsxnjLiiD+vaarIM59UocUtwehWL7W3v0zLAzf0vcPqe2HZRSiFa3Bs345j+3acucKK7VjxOZJOAUnFsfXYun4eD9xlZfgaG2l+8fiar46JHYNOo6POXkdG+CA8a9/As3m536pWHA7s2dkoVivugwd7H6ClGGuNHo/aWcDTfyyq20rFlZdT/4/OPvOjLwVVwZWzSjxjxZmACpueAV+31+o5uBdVljAMSet5jtBYwu9+C61RpvU/byC3tyO3tmEI90HCKLwpqf5Nzdc9StAikc/uXfUiSkk2shMM6eloQ/V4ahuhvvM5jzsFogZ/r+Ved/fdVF5+Ieq/J0H2c/D1HwFQq7fjsRoInSW+texusAhDqAuqSnD5Zs7uPx1dSBSExkBQZ1ZZeCLai98n2Sdk4mkttbDwEWoSzzrqWE4EfvXk3upqxaN4mJk0E4PWwJbaLWhlFZwu9EZh3cjt7SidVWvagWPQJqYht1ugsrd71fdJSvF1CGtEFyOyKgxp4sF0F4nGVa7CQgzDhkPSROyJXjxaiPxuFTTsRc5fg317LrowA7bMTGyfvoasMQqLAnCWd3oRLi9yaytYa9Gi8lLaZbwyv7NXtFYHRwjwOXJzKTnvNwzaJ6zoKtlOhsctgl+HwLlD9F5x5XW60z6PCI4ljIa59wlrGbBnZxMyaRLSIb13Nhe3oKqw3xiDt7YB5eZ9cOUKmHsfikYHK++C58dC7tsw8Tr43Td4a2rRhIZiXriAsEVn0LLfiFJfBN/82Z922eDtYIBNeD8OnQGlrGcDpq5r9lRUYAmPITkmjP6Dk1GQ8PrCobmIMwcuYsmQJaKCeNdS0IfCcFGy7ikrQ7HZCB51ZJklKDYWQ0YGoyvE9Z5bMQxV1uDc3wfJVWTDNvGbuFa/LyQBoOW111Hcbjq2FRE2WI8xWoNj3w/4SHNTE00vvOA3RvpaD9D67rvCyjxGhASFMCpaSFsZMtRtCaHyWw1qZ8aLPTvbLxs6cntrympdPtWbI2lY1pkdljgOV1sQ3roGPBVVIrvplCUANDz9MrV33iUkNa0BOqphb/eXx9y5ImXROGpMr/No4oYQOToY+95KOr4THS0NYT6IOwU1OFhIaxoNplmz0E84AwBP9nK8LeJ+BfXvjz4+Cq9FFp6GRgcxGRCVdlRyV1wuHFu34Gu14dKeAlP+IPYvzkQu3onshpAxo9FGhuO2BHUHkEF4o45mGDij74MnjWNg3BgiNAZG/H4HTLkJ5bAK858Cv3py79Lbk83JjIgagdVr9adB6s3CIvS1tiE3iCICzfB5aE89E8WrQV1+tdAQvw81O/G5hEuvi+4k98HCWnSXFOOrq0Pp6BCpdoNmk+BuZf8gLWpOPmryFOynPgOKRP9xdQSZfDR8vo/WsJFCa6Tny+QpKQSL8AYOdkTy6bbvT9+yrl2Lp7iE/g++xVXfyQR5VYYqOijurkpUVRXnrh2Airu0AqWxTMgX7RUw5+/dJFpVhbeqyu/edmFjkSCV0lBRSu+uaoRBs2DGHewc9yTcsElMEL/fDGc8BsH98FZXQ3wCXlkl/NxzUT1enImXQ957pFbmEqwTbm6cQ1iPdcnpRLfU0mAR19z4zDNU/Pb/8NbU4Ckvp8YUTUa8mZS4cNoNoXicQeC1c4o+kvun3o9GBQq+hGFni2IowLlb5KwHjxpJaZONe7/YR4utdyGKafo0UsudRHaopK8XWrmr0d3tmoOQJr64CSJSIG0ejm0iY6PfFVdgW7+elldeQXErhM08lZD0OJxVNhSXq9e5jgTV66X61ttofv7fVF1/A0prHbh7yi++pmbMCxeiMRhoePRRVKdFBI8Pfv+HKboCeekNJbjag/Daddi/FV0jrWvXoQkLQxcXh3Nnbq99Pfm5oEjYtuWJ1h3RQ7DWiTxub4sVNX6kINCgEDw1DcLTKt4sgtpxp8DmZ/wfNXft3w2Sin7UtD7HGXHWPCStStNTTwGgT04AoziXedEZhC8+C12/fuhiY5GCdHhtGrx28X4GJSaiT0nFY9OKjLLodNAZhETnbO1bRgSc27JRfWJ8Vv1CmHuvqJH46nY8taKeRT9oEIa0dNwdup7B5EPSfo+EO2Y9yr9PfwNtcO/2DD8VfvXk3pUGmRCawMhoISN0fUYvKLQzY6YsD6VcSBLaUWeijREEJTfWChe7L1hquom/dhc+tx5NaCiaTt1N2/kieIqLcRWIDARDxlAYNIurLB2MGdIPnw3cyZdg3bITbb9+hDxdQtzf7sHTEURlU3cnSOfOnWj7db4ou9b5q1M/K4FnM4vocHn92n5fcBcUYkhPJ+jSJZy+U+WmrxWGJkyAotV+t9u7eyOy3UPoEDOo4HrhMtjwL6FNd2r/APYtQkowTe0md1VV2VjUTGpUCGVhQhJxFxX1HET8SJhxB8QO8y9yVVezxWHgjU1lBI8eDZKEQxkK0Rloc9/yB0Cj3EJiipg0AZPPxeat+SgeD21L38ORk0PZ+Utwl5ZSbIgkPc7MwGgTzcHh2Ns7e2g3d1rYbWXgskBK99ide/egCQ1lkyuEc/69mXe2VPB2dnmvexg6fTpaWeXWL2Q0Tg9h82fhc+iQ8w6JT2Q9ItLpzn4eRl2Ms8aDPjmBmJtuRAoOpvnFl9AZZUxzzsQ0dhSqIkhD3AwL1B89TbDhiSdw7txJxFlzcObtovr86Sgf/J9/veJ2o1gsGIcNJfqqS7Fv3EjHjUPh/QvFH/vR+9EvTF3IYPMAxhXtR/GIV7/t829QZRlbVhahk8cSMiwFx47cXm1y3YWdOrPPh3XVatBosdaJCVTxqMgRp4BGixI5FF+7E1QVV4MLBs4Skl/zQZELD7iLSjGEyWjih/Q5Tt3oRYQPdCBbLEg6CErrlgdjb72V/o8JGUjSaglKTMJjyMCrEcVoQYmJBA0Zgc+hRXHZxcQCYuKBI1rv9q+XgUbFOHQQ1sy1YkKYdz+0VwgyBwyDBmEYko6nQ496KLmXbRCZa/1S+jw2iHTIH5OB9UPw6yf3zjTIBFOCv+tarCzkBX1kp+aevw65thBJB1LCcLQRYvaUh10GO970BwB74K0z4Y0F4GyD2p346Oe32rtgGDwYd1Ex7sICkCSRKth/LOE6E0P04kXuyG/HtmEDobNnIxlDCT3/SoLHj8OwbguqLKO4XDjz8wk/azFIKp792/zVqftsZmRFZcfKbIqmz6Dtgw/6vAeug4UYR4xgwN338slUiakHVKINE8FaJwhcUXB88AgA/W65T+xTVAHWWphzTw+5x75lC7q4OJEZ04nSZjs17U6unJJKkzkKOUjfty57CFRVxVNdTZ2xHxuLmtCGhWEYMgTnrjwYdhZUbmV4uDhHqEuPLGlIP01o3wVb92LfvBnFZiPunnvQxceDx0O1KZqh8YLcm4IjcLd2Zv00d040XS9c/25337V7D63Jg7n63Z2kRIcwPqUfH+6owif3nCyDx45F1usYVg2mmTMJv+BSsf9W8ZES2ith60siA2fQLNS0eTia9QQnGtBGRBBxwW8ACEtxIqVOJXjaXKG7Z3UGzr79C7w2B5x9f8Tc8vXXtL3zLpHnzSMhdCkJU5zY6/U0fLbbP0F3STI6g49I+6sEx8jUbovElvQHQBUywlEwKGIQn8fMwdwqXvvgOLDtqcC6ejVyaytmczkh9kx8jY3+WFIX3OU1IEHQgAF0fPUV7rIyPM1eQmKFF+TViLRfr777uXG16YQ1O/xc6DdQ9PnpqMNV1Ywh1shnexqY/cQ63L7DArgp04gcLiZug9mDlHgUSS05Ga8nHG/aZaDToYuJQT9oCCDhtekg/tjI3Zazg5A4ifDzL8ZTUiIkr+HnQtJE3FYDUrARXUIChrTBKF7wFe8Sv4uiQMVmSJ3pP5Y9Zxv2bdv6PM/PiV8/udvrCNYFE6YP85N7tE9Y1/rEzracpXkoTTVoQwwgSej6ieZMcvpFwm374mZhWXXB4xBWYGM+vH8R1O3G5w3pTe5DRMaMKz+foAHJaENNQhtPnY7OqBA8NJXWd95B6ejAPFd8ekySJCIvvwJtayu29etx7d0LXi8hU6YRFKbHU14CHTWoxghK2hXi7S1EPHwXcmsrDY8/gbcrD7wTvpYW5KZmDBnp6LV6Ns+MxmXU0ppZKh7OdQ/D63Nw7stHYwzCNHcRupgYnKbpMOOPPXRCVVFwbNmKacqUHgU8Gw8KUpk3LI7UGDNN0Ym9LffDILe1oXG5qDdFklvRhtsnEzx2DM68PNTBC0GVGSdr0akQ7NRj1YfQb4Sw5NsPFGJZ+R2asDD6XXgBqR8so/rq28gcMJ6M+C7LPQJaWsEQ1m251+4CnRFiRAqo4nLhKixklRzN/OFxLL9hKtfNHERDh5vMgp6ZMBqDgbDJwuKPvu5af8GTe/8+UVq/6WmQNDD7r+IRqWlG8WgICa4SmUVXX03IoDD6jQ6FiAFoB03A2M+LfcdOcLbh3f4ZzkYFCr/tda9Un4+GfzxC8OjRxM40g1ZPxAt5hI4eiKNWFfn+gK+xk9xzn0SSZJLffAdDRgbVz3+NvSNOVOUeDaoKuz/ELQmiizs7HRSov+9+0OkwBe0hOEpIYo5th8SjZB/u+g70MWbCzzkbx44d/mriyAwhG3l9nSmISvdHXFyuWBFc1Opg0b+gvRL3P2fgs3gwDoxjdX4D5S0O9tUcFl8IMmI4dRpRw+yED3SKlOEjQJ+chKe6Gm9NLUEJCcKa7+wf5bFpIW4Eli+/xFnRJvT3PsjdV1WEu96FadxIzPM7M3LWZgqj54K38JjGoh84EEmjQd8lx9bbxDPRsE8YgIe8R/X33Uf1Db/Hc0j17C+BXz2519vrSTAlIEkS8aZ4YoNjiersCKmNTUATGoLs8CC7FTTh4gHsstx9Niec+5KQQba91n3QLp11xPlQtQ28DmQn6GJ7doTTDxYZM/bN2RgzDskpn3Q9TLgG81lLUB0OJIPBn5EBYJ47Bzk8nIa3l/LZu6LaNXjMaIIS4/C0OKFyK4o5Ea21g4eyX0P2+kh67VVQFOof/kePMXRZ0MYMQYwXT7ga95J5WNesxTXyL7D4OWgswNlmInjMWCSNBuPIkbiqrTD3XnxtbRTNmUPF5VfQ/OJLyO3tPSQZgI1FzaREhTAgKoSMODMlofG4vofcuyy/FnMUbp/C7ioLIWPHothsuB2hEBLN/MYKVrZ50bh0OI0mgqKjkcPCSWqpxrImE/OcOUh6PZrgYHKGzUA1BpMSZSIiRI8jLBKd044cNrgnuceP9GcSOfPzQZapih/I40tGYQzSMmdoLPFhRt7Pqew15qhrrsG2aBEh48eji4lBGx6Kq0UV2UQ736UqbzhNb38CdMdJQkJqoWEfQbGxpMxpRz9yqiAFczymRC3Oklran7+X0i/DKV8TjTenO7BIdS4svwpHzhbk1lYir/odUtUWkf4ZHIF+4EC8di1qZ/qo33IP1cHVq9AOmcyAN94gKDmJ6rUG5PxMkdoKoCgYnYd13q7bDc2FuOVEdDExBI+ZiCle5M2bRqajxYZhxm/QBCk4v3mne7+2ctztWgypiYSfeSaoKm3vv49xWDohMSII67UI69vjEl6zIdyLy9LdxZMh8+DadTTtCUajUwifM55dlcKL2VnRR1py2jxiT7UQmW4/KrkHJSWjWCy4CgoIShSpx131DF6bDle7kdo/30nlNdfj8g3o9vIOgf1TkXlkOutyghISMI4YgXVNZxuF8ETc9e0YBg3i9Y2l1ISLIjSPaRxkPiD+gF9v97W1iXiDw0HtX//ad1rpz4RfPbnX2ev8n7cD+NOEPzErXBQUaWOT0UXFIMsmFK8ObaSwKrRdlntbGySNF4GTQ8umu8qUp94MZz0NhnB8FidERuHwdH8r0ZAmNEPF4cAw9JBq0MGnwZlPEjpXaNmmqVPRhHR/hUgKCsI5cybenC1EbVmHs/8AdP36oU8bjteqhYZ92I1x/C7/a+Jd7dw38f9oGjqGmJv/gC0zE+uabve7W+8X5//tiN8y4dYH0ZjNIl3u/9k78/ioqvP/v+/sa/aV7CEL2SAJAUEWQRbFKqhYC66AdQW1rX5/+q3fLirWpVhtq621itbWitS6VlQEDSiy7/salkD2dSbJ7Pf3x51MEpJAgqAMPe/XixeZO/feOWfm3s99znOe5zlDb8U7ZyXOBhXGIuV7MeTn4Sorw2u3U/fXV/BUVOKurqb2hRcAMI3oyKBzeXysPlTHmExl1JIdZ2WnPgpvTW2PNfHbsZUpcemFw3KQJFh7qA5jcTEArVu2QuZkpAPLiLXV4G4Dp0mJpzdnZnLJia2oWuxYL+8ow7q3ykZmrAW1ShlRqGOV36c6BiYAACAASURBVNKjSVJuWJ9XEa9OLpm1S5SojMuvu5Rws+Ki06hVXD8siZX7azhW3zWRxDx8OC1TlbRxSZIw5OThbNLBxw/ibFJh36mEILasWUvb5k2oI8LRWmX49H/hrRlgr+zw90sSptxk8MpULFyGLlwHskTTFxsU14wsKxFGO/5N8zt/QzIasQwvUvqQohgC2vRcZK8K70ElMiMg7rmjlWsW0ISHM+DJJ/E5PDTtcUO5EhHl/eRxchb/DLmqU0z2pr+BxoCzzoM+MxPi8gnLUFxblgwTSGqkK57GlBZB67ZdgZwE34kduOxq9NmD0KWmYigoAFnGetkU1OFRqAwqXCeUDE53sw9JLWMZ4MBZZe+SuOdoUGE74CF8chENxXOoaFImmzcc6WGSM8O/CI4pCqy9Z/VqkxRfu+vQIbT+kbo6PByV2YRrwJVU/+UNVKGhqEJDObrEg7usuzux5atSVHoJwxgl2ck6cQJtW7firq7G19KC50QFFWFxzP94N69ub0QdHo7TWIQcP5S6j1bT6kiFUOXB4vCHGYdecw1tGzZS/7c3un3ed8UFIe6dU7qnpE0hzb8QtjouFXVYGB5LBl5jIqpQJfkl4HNv9LtiorKgptOP3i7uEWlQMhvfvbvwtbbywVEnxY9/zk8WbWbVgVq0nfzShkHd07n1aWlE3TuPqLvu7PZe2+hReFVqUmxV7IxIBUCXVYDXpcbrkmjQRFNStRfH8NHsikzjq/21RNxyC/qsLCqf+E0gBM+5dy+a6Gg0EUrC0op9Ney1Q8Qtt2D7/HMaFi3CcbQefD6MRcokrrFAmaCyf1lKw5tvEjr1KgZ+9inJb/yNxBf+iDZGKXtQ3+Li5ZUHaXV5GZOpjFqyYq0cbp9U3de79X50l1IT5KKR+QyKC2FNWR3aBMVibNu0Wakd42gEnwefw4fXokwoGzIHovO6adEa0AzveMjsqbSRHRsSeG3y38huopS5gxObwd0CA5QHSFOrm8NfraXREsG1E7suYzhjWBIS8M913a33Lr9fbh7OJi2ys4Vm1zCQJLQJCVT8/Oe0rF2HaWgJUtZkpXplw2ElFDBnWkcbS4ZhjHYSld9M6rMPYCrMofGAHnn3Eji4HMrXI/vA9tV6LJdcgqp2q5JZm6pEkWjTlWvKvV+J+PGUl4Eko84Y3qWdxoICjIPzadhvRt77GTSfoPIPb3BidRit//SP9Jx22PYv5JxrcB46rIh7bD7WBAcD5k4lLP44JAwFYxjGy2bgatbgWapEq7i2rwdZoiYxj/oWF6FTp4IkYZ08Gab+EW1iEu5yZaTmrqxBGyJhiPCCx4vzQIcbpPZPf0JlsRD5y5fY2Kzco+nRZjYeaei+zmnkQIjMVNp0iho/7SW8QQmDBOXBrE1OwbZ+Ly1ffUXUHXeQ/PJfkL0SR99rwNfa8VCXty6m5ZANc35aIMnNOnEiyDJV85/AsVcxnt6vV4yDtWV16AcOxLF7L+Ub0qjeGkr11o5Ev7YtW0GlIu7/HsFy6aXUPP98IAHvuyaoxd3hcVDvqO9iuQP4aiqQND6kiGTU4eF43Vp8PgNqi/IjqIxGJIOhI0s1OkvxxbXXD68/BMYIMCoWvqdesSy2tmpIDDfxxZ5qbnxlLZe/uhlXmFI10p6QSrXN0e0ijZ47F+OQ7hNCDksIqxKU4eYKXTzlDa1o/cNJl11DTYOBKEcTA8aPJjnCxMp9NUhaLVH3zsNTUUHL6tUcqWuhbe/egNV+rL6V2/+2gV9/uJPIObMxjx5N5a8f5cTPfw6AcbDyeYZ8ZZKpav58ZK+XqHnzlEzN4cOxTpyIy+Pjvrc2M+yJZSxYuo+ChFBGZyiW+6A4K0et/nDIg139ly1r1wUeOrX7D9OsM1GUk8iIdMXv7vL6MA4dStumTTDwUiURCpAcHghRhFs/UPEHr47Lo/Sg8vtUNLVRY3OSHddRdjciVbHY2hz+dSnb46j9lvviDcdIrTlCSNEQVKqu4jAgzMjk3Dj+XHqQ+xdt5kRjz+GmhkHZyF4ZV6uZ5gMeTCUlJDy7AHdlJZ7KSoxDi2HGW/BIJcxdC9ctVHzMflQpxaROqCO6WEIafB3hN/9YCT/8z9+V/IKQRFqNl+C1uwiZPEmJoZfUkKiItzZR6aP7sPI9e47uRWPwISUWd2tr+M234rJpaFm+hJZXH6T5iCJGjZ+tBns17HgHXDbcCT9AdjjQZ2VCeBqS3kJoQgOqms3KbwKYRiouhravl4KrJRAp87PNXq576RuYNp30jz5En54O2VPQpWUF3HCuo8fQxUZgKFB+B8cu5VjH3r3YPvuMiFtuRh0WxuajjejUKm4ekUKt3cXR+h7S8W/6N0z9Q/ftnWj/jkCJlKlvceHx+tAlJeGprlZqQF01HW9KGgPuvBJXk5qW386AHe/Cv2bj+ttdeFo1mC+bzpLtFby2qgx9ZiYxDz2EbelSyufOA2Clw0xOfAiH61rxJqfi2LUL+6o1GAryaTvSEKhh1bZ1K/qsLFRmM3G/+iWy202Tv25RO+0rRZ1rglrc21eTj7d0FXdvfTVqrQyhiYq4NzTgtdlQhVj55kAtbS4v6rCwjsqQUdngdSox36CIe0SHVe6pVULMarQWHpiUxbpHJvLcj4Zg1KnZoY3EpjUycuEuhj+xnPc297h8bDf2N/h4e+A4WpPS2RiTzYdbT6BLbvcVqrGVKRd71JiLGZsVxepDdbg8PsXCCw1hwytvMfGZ5bTu24/OX9BrwdK9uLw+Nh1toEWtI+nlvxB13714KirRZQxE7R+5aMLD0SYk4G1qImz69C7WjyzL/OL9HXy49QSzLk7l4/tG8+G8UZj1/uX+Iky0WMNwG0y4/BX7ABz79nH01ltpeOstAFzl5TSHRmPRaxiRHonD7WNbeROm4iLcJ07gbmwNWKg6pwt1mPIgNeQpyU1bMofx/hblu3z8P7vQaVRMyu0YocVnKIlMdXX+qJft74DWjKPGS8uaNaxdsYn41jriLuouhADPXj+EeeMz+GRHJeMXlPLq12X4fF0fzO2Tqk3Rc3GVHcU65XKMhYVE/lgp12saNgxUqq7Zwp2J84fwDf4h6C1YJ01EbdHTuHK34j4Z+wC2yggktQ/LQAscXqU8nPwx+u2WqPvECSVLuvI4GqOv47ydCLlsMupQE/VraqhatA5thAnX8CHYjurwlv4JNrwGMXk4bUrmpD4rS2l7TK4idLIvIO6G/HxUFhPNhyTY/RHOsmOggv26cA7VtHDbPzbhTU4NfLY2MRH38ePIPh/uY8fQlkxBO/c9VGYzjl27kWWZ6md+i8piIeLWWwHYfKyR3AEhjByoGEcbDvfg4gtPAWscB6rtFD22lCPN3f3Xaosl4Gb1xMRxyTNf8rfVR9AlK9d01Ly5TH91A3Pf3IRl5k9Q6dXYN+6Gd2bD7o+wG5RMUdP4yTzx8W5+s2Q3DS0uImfPIuF3z+Kz2/FKKlRJScy/WjGKDqfkorJYSHzhj8T93/+Bz4d91Spkn4+2bdsCxpw2NhZjUVEXN6qnoYH9Yy/BuLL74uZnm6AW90CM+0mWu7exHrXO1yHu9fV4bTYaJD03vLKWny3egjo8rMNyj/IXUWp3zdSXdRV3f5RCg8FKcUo4Bq2aa4oS+WjeaAY9eB9Vt85l/jUFxIbo+WxnJX1hZ52XY5GJ5Hz8AWlZyXy45QS6dv9hxBhajrTRaA5Dl5rK2MxoWl1efvf5Pj7dW8f2gSWEblzFZG0jGq+HFd5QtpU38sGWEwxPi8Djk1lzqB5JpSL6nntIXbyYhAULuny+YXABkk5H1N1dU+xfW3WYtzccY974DH5xZS55A0K7RM6oVRJZcSFUhcfjPNhJ3HcoBaOa3v8Ah9uLsb4aKV75XYanKi6jtYfqMBYpYtu2aRNkX4HPI6H1edFFKDeoqbiY9I8+JGXKJL7cU8Pi9cdYsr2S+ydkkhbVsXp8Wnw4NcYwmo83KNZuay1y3GCO3n4HR2fN5oE3f+HvZ8+TcWa9hgcvy+aLBy5hTGYUj/9nF7NfX0+Ts0Pg9WlpSFot9Yv+DSoVIZMmARB9/32k/msxxryeSxp8vquK11aVKZmRlz+t1AICJJ2O0CsmYDtuwK1JQB58A80bD2AZ4EZ18COlEFdKx8S72mpFZdLjbnKBvRpPbT2aUFMgk7gzkk5H+DVX0lJlwNmkJeaRX2CbfCWyT6Jp0WtQsQVKZgfcJO1JeMTlK+V79SGKCwRQ6XSETf8hzeVGPF+9jrOiCVWUGa9Kzc0jUth6rJF5/9wceBhqExKQnU6e+fMSfK2t6JKTkbR69DmDcOzeTfN/PqZl1Sqi778fdWgoHq+PbeWNFCaFkRVjxWrQsKGnSVU/3xyspaHVzYpjnh7f1/qFfIfHhM3pYdORBkKuuoqIW2/FNeFyTjQ5+HJvDaWVYL5kAvamAci3fgxz19J80IkhP59tXhPHG9twe2U+2qbMH4RccQWV8//A0yU3cM+kHIYkhmLRa1gek0/WurVYL70UQ34+6vBw7CtWKNnQNltghAyKi8e5Zw+uciW8uem995Hb2nAPTO/ekbNMcIu7P8b95DKqvuZmVHqZkX/YTq3KoEzquN3s8yf7fbKjkioUt4wsy7RVe/G5Jajdq4S9NR3r0XLXx8QQG9KxspEkSQydNoGrHryNm0akcOmgWFYdUCzs07GzzktxcjgmnYarixLYU2ljX7MHTXQ0Lm0WMYf3czw1D0mSuDgjirgQAy+tOMg9b27ib+ZBGLxuHqpREmReOqbiJ4u2EGnW8dJNQzFq1azc17Esn7Egv9ucQOyDD5L8+mto45TvrqnNzUsrDjL/411clhfLzyb1vphDVqyVg6boruK+R5l8c+zaxY5Vm4lpqSckTRmJhJt1DIqzsuZQPYacQUhGI61btkDJHA6OUiIVjFEdRc70mZlMKxyAy+vjoXe3kTcghDvGdr0ZUiPNlFuj8R09Fphc9Ibk4q2v58TYKbycfxXaWT/GVNyz5d5OYriJv95Swvyr81lzqI5fftPGzhPKXIyk1aLLzEBua8M0bBiaaMXlIqnVgXmLnljw2V4WfLYXnwyMuKvLhGD4nHtBlij7j5kjt87BW1uHdWiaUsbZ54aUrlmb2rhoJfuyZjeeZke3iK3OhM2ei6SWMA9Ox3rFNDyJiRiy02jYp0VWG2Hw9Tj370eblMQnB5p4f/PxjlFA2lglZLG9nTNngA8aSrfjbACXfx7mjrHpPPKDXL7YU81XB5T7QpuoTCZWfPmV/7UitoacXBx79lD15JMYBg8m/IaZgDJ/4nD7KEoOQ6WSKE4O7zlixs/2cuX3WFvp6R4TD+gSk0CtZqV/XnZPZTOG7Gxi//dh9tUqLjeDVsUTH+/GOHYsnqpqnM4o3G4zjq3bsE6axAdbjmPQqhgYbebfm5QRo9cn81SZimODL+baogQ0ahUlqeGsLVMMJ1CuBfOY0bR89TWtm5QIKmNhhxvWOlEJqrAtW4YsyzS+/TbG4mI8CWIlplNS2VKJhESsKbbLdq+tBQw6KmwuvqnpeNpvbfQwPC2CybmxbLNB65GjHLnpZg7fdBu1B2KVkLqGI4DMicXbA0lDntoaJckm69Qr04/Ljsbu9LDpqHKhOtxervj9Vzzzadfa53V2J0eafQE/9g8K4lGrJN7ffAJtcjL2lSuxOmw05ygXiUWvYfX/XsqmX0xiyX1j+MMTs9AMiKdlxQrQaNClpXGotoX7J2YSYdYxcmBkoFxAb2gTEjAVF+P1yTzx8S5GPrmcpz7Zw6iMKH53fWE3P3VnBsVZ2WeIwltby6Ydh7G5ZJy79yghaGo11X99BZ3PQ0JOxxqdI9IjWX+4nkMNDvTp6bgOHgK1lhM+RQgs0ZFdPmNwYihpUWZUksTT0wejVXe9VI06Nc1RAzBWHUeOVKKWnG7lOlgSNoiD46aS8fADXerj9IYkSdw0IoUP541GLcGMv6xhzSGlBnd7iGvIlI5Fm70+mW3lPScjHatvZW+VjRaXl7K67qWVdampJDz/HJZLLkV2OtEPGoT1B9cp5WGRILlrrW9tcqoSDrnnM7wOCc2A3rMgtbExpLz9LxJefjMw2gq/eQ6uZi1tUVeDIRTn/v3oMzL49Uc7lesyzi9EfpdM53aaLyqm4YAZd4uGmphktGqJ+FADN41IJtykZZF/QlozQBGqwhplgr3dJSJnZCG3teFpbCL+8ccCE5ZbjinfXXGyMlobmhLOvmobTW1uNh1tYMFne3F3SjLbcaKZMJOWFjd8sbt7pc7Qa64h6s47+LpMue/KaltwuJWHwJ4Kxb/96NQ8DlTb+cycBoC9dAW2zxV3iXHCBD7eVsGk3DhmDEtm67FGDlTb+WDLcfZU2nhgcjYa//U3PC2CA9V2ajuVsLCMvQRvQwMN/3wLldWKLi2t43tMTkaflYV92XJa167FdeQI4TN+1OtveDYJanGvaKkgyhiF7qQiPN5WJ16jYmGvqu0Q90NtElPy4/jtD4fgCQlDamzAeeSoUk+jwaS4ZeoP4nVLNJVuoe6115BlmebjlTTqLRSndi2hezIXD4xEo5JY4bea/7Otgl0Vzfyp9CCvft1R5GnVQUU4RvvDCyMtekZlRLF0ZyW65GS8dcr7quKSwDGSJBFh1pE7IIS0GKuS0YoyvP7L7BE8ODmLmcOV+vFjMqM4XNfK0brT14xe+HUZf/2qjEm5sfzn3tH8/baLAv713ihICOVoiCKkv/j9f/jZly00bt+JY3AxB1PySd6kWHChaR317GePSsVq0HDTK2vxJCTh8hcIa6pS+hoe3zVBTJIknrgmnz/OLCI/IbTHdkjJKehcDjw6RUycLUpc9QqnmSsHx/d4zKnIjrPyyEUGYkL03LJwHWsO1WEqKUFlNmP1u2RAmQOY+sIqNvYQwrdsd1Xg7x3He667HnL55Qx4+mnS3v036e+/h2qIUuSMuHwwhnGisS3g8tAlp+Nq0eBZq9SA0aTm9HjOdoz5eYFoMFBcCyqLhcolx2lZsxZn2WHqY5OosTk50eSg2poL1/8dim7qdq7wW2/D66+ptCcsk6RwExq1Cr1GzfTiRD7fVUWNzclml/K9F9QpUWbt8eZbzMqcwRcFE1BndJQa2Hy0kUizjsRw5biSlHBkGR5YvJXr/vwNL3x5gNX+e8Th9rK/ysaMYcmE6aWAVe32+nhvczk2hxvL6FHIs+5gX5WdIYmh+GQ4UK0M0/dU2oi26rm+JIlRGZE8s74WbW4u9pUrsX3+OfrMDNZ6LDS0upk2ZADTigagkuDt9Uf53ef7yE8I4QcFHdfSRWmKEbK+rOO3t4weBSoVzt27MQ4ejA8Jm8NNjc1Jrd2JdeIEWjdtovalv6AODcV6WUeI77kk6MX9ZH87gLfNS5te8c/WqDoSKexaI5flxRFq1DL6obn8vvh6Xrt7AdaJE3FUuZGr90HdQRz1WpBl3EeO4jp4kMbyShr0ir/9VFgNWkpSwyndW4Msy7y2qozMGAuX58Ux/+NdvLe5nIM1dj7bUYlJA4MTO27CsZlRHKptwRGt9KfCFElURu9WWuhVykSQPjuL1Cgz8y7NDFi37WGLK09jvR+otvHbpXuZmBPL8z8q7FVET2Z4WgSP36c8XH5RYOAySzM6RysvHFXxfnQBav9i350jGVIizbwx5yJanB7erdXgrqjA19ZGa61yk4TFdXc3XDwwiisKehfpkCxlZNBsLIExD+CqbMJjMFJrCD3lcaci0qjiX3ddTKRZx59KDxJ6zdVkrFiBJlK5qT/aeoLX/bVp/rOtotvxy3dXkxZlRqdR9Sru3TsSD8Nuh2E/5os9VVz81BcM/80yfrZ4C1WmcGSPhLNCOZdmYM+p+N1CCf2oTCYSnl2A12bn6KxZ4PGwUdVhpGwpb4LcqUotlZOwXHIJmhj/fIk+mZTIDl//jOFJeHwy724q5187a2nUWzB5nNQZQmj1R0EtbzPzwLj7+F3KBN5Y3REOuPlYA0XJYYHRxZCkMNQqiWW7q5hWmIBOreJrv8tnT6UNj0+mMCmUEfEaSvdWc6Kxjbv/sYmfvr2VZz5VQhW/8T8MbhujuO92VzT7j29mUJwVSZK4f0IWja1uqnNLaNuyhdYNG/wumROEmbSMzYomxmpgbFY0r3xdRnlDG//vskFdRrEFCaEYtWrWdhJ3dVgY5CqTrW80Wch4ZAkFv17KsCeWUTJ/Ga+rU5USIGvWEHrNNaj0Z7gweT8JanGvbKns5m+XnQ5kDzTrrWTGWAiN7RjuxydEMSBMEfshF+WTfstMFm2voSw6BZ/Ti6vGrqwd2tQRT21bthxXdTWNxhBy4kM4HZdkxbC7opkl2yvZeaKZWaNSeX5GIcXJ4fz07a1MeHYFH2+vIC9KHUjIgQ5B3q9RBHZLdAaJ4d0nztrRZ2YSNW8e4TNmdntvYLSZhDBjN9fMwRo7015cxWMf7WJ/lY0HFm/FpFPzm2vz+7VeqCRJDBqSiWQykWqv5kazMlQePeViHnr8zkDCVnu0Rzu5A0L425zh7NdFgCzjOnIER51ykxgiT/3g7ImEAiUE9OiRFpjwS5yHDnEiJJbC5PBTfnenI8Ks47qhiXy9v4Zqu0spK4HyMHzo39sYmhLO+OxoPt1R2SXCptnhZs2hOibnxZITZ+2eVn8qfrAAhs7iP1srCDFouHhgFEt3VvHPI0poaVudPwkrtut3ur/Kxg1/XcO4BaVdXBmdsVxyCQOXfEzknXeiTU7mHVckYzKj0KikgIukJyS1msi75qJNTmKzx0JKZMeEdkaMlZKUcP6x9ghLtlfgiVEeppWmCLYea0SWZb7eX0vK6OGMzYnjuc/3Ba65QzUtAQsYlMnt31yTz8s3D+W5HxVSnBLG1/sVcd/uf0DmJ4QyKkGDxycz9YWvWba7itz4EN5ad5Rj9a18faCWMJOWKflxGLQq5aHg9bG/2s6gOCUEujg5jBCDhq8jM5WaMD4fmksuZenOKq4oiEenUeRwenEisgwj0yMDyXvt6DQqilPCAm47UB6sX4QpI5OIYUO599JMHrkih8en5THr4lRePKqi3qr013HZVTS2uvD18jA+mwS1uNc76rutNuStUIaGNWorCeFGJo3syBwdmtt1AeL7J2aSGWPh6TJl6NlWp4WDX9DWaKEiNJay6FTql36OurEeVWRkN79vT1ySpYj0z9/bTohBwzVFCRi0al6bPYxnfziE388o5OWbh3Jrbtend1ashWirnm98irhviskKDFt7I3reXEzF3WtiS5LEmMwovjlQFyiQ1djq4sd/28DBajtvrD7MpOdWsrW8iflX5xNjNXQ7x+mQVCrFd37gIJpj5SBJzLx+HJnJUYRcdRXalORABc3OFCWHk1qkhDu2HTwUyHLVdHIl9JWs/IE41Foa9yoRIG0HDrJPH8nkvNjTHHl6ri1OxCejTDqiZOrOfXMzRq2aF28oZmrhACqaHGzp5Htfua8Gj09mYk4s+Qmh7DjRFLCo3V4f1bbu5X/bfcPt+yzfU83E3Fj+MLOIHw1LYou/TlJbrV/c/RObzQ43v1mymym//4p1ZfUcqWtl6ymEWmUyEfPTn2B7ZRG7PEauKUpgULz1lOIOEHHDDYS9+xHNbh+pkV0fmD8alsSx+jacHh8RGakAVJoj2XikgQPVdiqbHYzNiubXV+Xh8viY/PxK3t9ynHnjM7j14tSTzpXM5DzFUBuTGc2uimZq7U52lDcRbtKSEGYkyaoiNz6EhlY3z/1oCAtnDUOtknh+2X5WHahl1MAotGoVWbFW9lbaOFzXgsvjY1CcYpRp1CrGZEbzbmsI6ogItImJfOkJpc3tZdqQjofmpNxYZgxL4tFpeT0aPSPTI9lbZWPDYcUw+Wp/LX+15FMx6Wru+sn1/GxSFrePTefmkan8emoer80ezruDJvB++hguebuMwsc+54ujPUf+nE2CVtxlWabV3YpFZ+my3VuhRHAclUJJCDNy5ahsfCg/0JiitC776jVqFvxwCNskKx6DkbZ6HbLTTluVj+2hSZRG5+DdtRNLSzOW+L4JRk68lRirnqY2NzOHJ2PSKf7rEIOW6UMTmVaYwOS8OCy6rheNJEmMzojiI5uJZT/9LRtSCok0n3lB//GDYrA5Pdz06lo2Hqnn7n9s4nhDG6/PHsY3/3sp/3NZNv9zWTZXDh5w+pP1gn7gQJwHD6IpL0eXmhqw2GMf+Tlpixf3etyw0UqoWNnm3cjNTTh1BiRd//saH2ai0hqD5/ARvDYbck0NR62xjM3sPaKkr6RFmSlODuPfm8qRZZmFq8rYW2XjqemDiQs1MCEnFp1axZJOrpllu6oIN2kpTg4nPyEUm8PDEf+8xxMf72b0U1+y3i8Isizz6w93UjJ/WWBuZP3hepra3Ez2x/Nnx1op1yoP+7Y6LUhAWBj/WHOE8b8t5eWVh7i2OIHPf3YJKglW7j91yV9QIsW0aokJObEUJoWxrbwJr3/0seVYI4vXdy92dcQ/MZzSKRQV4AeD47HqNWTHWgMuRHdsPBuONPCVvy2jM6JIjTLz0JRBDE+N4IO5o3jwsuyAldwT7YEGqw7UsuNEE/kJHeG4f7qxmPfuuZhrihKJCzVw84gU/r2pnIomB6M6JdrtqWxmT6UymZod15FBekl2NJU2N96fPETcr37FvzYeJyXSxPC0DiPRoFXz1PTBZMV2HNeZm0ekkhJh4q5/bORYfStPf7oHS3wMo56b36PLZfygGB7+088peuZRnrluML+4Mpes8HMvvUEr7k6vE4/swaztesH5KpWJukOEMyDMSHSYGZdR2Sc9rXuNiiFJYSRFWjgRPxBHvQG3XY23xcOe8BSSpiorvaiQiU7tW+iSJEmMy45GJcFNI3r3mffE6Iwo6ltc/LvZTEK4qV+ukpOZnBvL49Py2F9lZ/qfV7P6UB1PTS+gJDWC0aDoCAAAIABJREFUGKuBueMzmDs+4/QnOgW6jIF4qqrQHTyIIacj1FKl0wUSpnpidH4S1aZwqnfuQ2VrDtSV6S+SJNESOwBDVTmuQ8qIrTFqALl9cJ/1hWuLE9lXZWfZ7mr+sHw/E3NimJSrPORDDFrGZEbxyY5KZFnG4/Xx5d4axg+KQa2SKPDPX+w40USL08M7G8txeX3c/sYGympb+FPpQV7/5jB2p4c/lSojj6U7q9BrVIzNUkQqK86KXWvEZzTh86hQR0TwzLID/N/7O8iIsfDRvNE8c90Q0qLMDEkKO22ElCzLLNleweiMKEKNWgqTwrE7PRyssePzyTyweAv/79/b+GR717mEw7XKwyc1suu9ZtJp+MstQ/ndj4Yo4YiAJS2VzUcaWLGvhrQoM0kRygP/ttFpvH3nyD7N6+QnhBJq1PLlnmr2Vdm6HJMaZe4yV3X3uIGYdcrIu/2hkB0XQq3dxaoDtahVEhkxHQZg+8h6RWweDXnFrD5Ux3XFif2610JNWl65dRhOt4+rX1zFzhPN/GxSFnqNutdjoq16Ls+P5/qSJG4bnUZySO/7ni2CVtxb3Io1cbK4e6sUy+OoNibg1rDGRIJWi9TLRMbAaAt7w5JwNKppqVb22RORwsTJw5ETFVdO5qC+C/WDk7P5x20XBS7svtJueRyuayXhW/iMQRG+m0emsuL/jeeBSVk8Ni2Pa4tPHcrZX9pLBajsdvSDTh3F0RmzXkNrTALy0cPoWmyBujJngio5hfCmWlp2KXH28YNzThnG2R+uGjwAnVrF3H9uwuuT+dVVXZOWphTEc7yxjaW7qrj9jQ00tbm5zO9ayIy1oFVLbD/exMfbKrA7PSz44RBUksQPX/qG3362l6sLB3DziBTe2VjOsfpWPt9VxZjMqMBoLzPGApJES4TiitHExPLl3hrGZEax6I4RFCR2iN6YzGi2HmukqVXx0Z9obOPjQ66AVQ6K/7q8oY0p/snmwiRFJLcca+SrA7UcrGkh1Kjl4Xe3U9HUUZLhSF0LapVEQlh3N9vFA6PIGxCqPNwlifjiAmxODyv31wTEtr+oVRIXD4zk4+0VuL1y4EHZE5EWPQ9MzmZ8djTJfrdRjt9S/3hbBWlRZgzaDiGNDTEwKM5K6d5q3tlYjiTB9KH9vy8yYiz84YYiGlpdDIqzMq3w3Met95cLT9zrFKujUhsRmDzVhIejDgnp9ek8MNrMOmM8+KDxgAmvTscRayypURaiLldC4Mx9dMsAxIQYuPgMLuy4UINyQ8Np/e19xaLXcO+ETG4ZmXpWztcZfUZHHHtny70vWDLSiWmqwuJsgZC+Ren0REhmBmpkyv6zFLdKzeDhvS+E3V9CTVom5sbg8viYNz6j28N6Uk4sWrXEnX/fyOpDdfzyylwm+y17vUatVNA83syi9UfJiLEwvTiBv95Sgs3hYXRGFM9cN4R7xg9EJUn8bPEWjje2BVwyoDwEkyKM1Jr9LoOISA5U27koLaLbtTw2MwqfrGRzAjz20S7+tc/dJWLq3U3H0alVXOb/jPQoM1aDhi3HGln4dRnRVj3/umskbq+Pn729NfBgOFzXSkKY8ZSuFOPgwWR+/RX5Y5QsV1mm22RkfxidGYXbq3z+qcQdYM7oNF6b3VFMrd0N0+zwdHHJtHNJdjQbDjeweMMxRmd0BFn0l/HZMbx1+wj+ektJl+CI84ULUNyVi9muMwUsDXVkJOqQ3q3DjBgLO0OUp7ejQUdtfApx4WaMOjVh11+PZeKEHqs+ngvaY997spLON7QJCYHRUH+/n5SiXEweJ8m2KtRhZy7uCYOVz9Vv2UC5JZoxg779ZGpn7hmXwYxhSdxxSfd08VCTlutLkhidEcUn949lzui0LqJbkBDKusP1bDraqFSilCSGpoTz1UPjeX32MHQaFfGhRn5Yksj6ww1IElyaE9PlM7JjrRzVKd9Po1H5vz35pzNDksKw6jWs3F/L1mONfOovg9GeaOTy+Phgy3Em5cUSalJCFVUqicKkMD7fVcWKfTXcdFEKWbFWfn1VHqsP1fH31YcBOFzX0iUMsjc0kZGkRJqINOtQq6RA3Zgzod3qDzVq+23oRFr0RFuV6zKnB3EflxWDxydT0eTgujOw2jtzUXpkv0fo3xUXnrg3KOLepjcT4/+Bo++dR9yvftXruQZGW2gwhOCNVC6o3VEZpPonj3TJySS98AIqs7nX488m7Rf12bLczyWSWo0uPR1vSEggNb+vROYooWMmjzNQV+ZMSC9S3EFar5vGqIQu5SHOBvkJoTw1fXCv/tQnringHz++qEvdm3byBoTi8vjQqVVdXGIxVkMg4xHgnvEZaNUSJSnhRFlOjqKysl9SBOq42oxKUoT8ZLRqVSAzecHSvYSbtIxL0rB8dzXVNgdf7KmiodXND08Ss8KkMGpsTnRqFTeOUFyQPyxJZGR6JH/84gB2p4ey2pZu/vbekCSJyXmxXDooBquhl4JqfSAl0kxqpIkhSWFnNPfUHv6YHdfdqBuaEo5Zp8Zq0ATcaBcip8/NPk8JiLum00XnaMZXX4tPE0J0mDlwA53OqhwYrbhCGpKziKqrZYM5oceb9btgXHYMj1+d32V4fj4TceMN1G7e0u/jOqdom6PP3MLTh4bQbAohpLUZ/XdQjKk/tLsTJufFEnGKyKeEMCMv3lDco3sgO87KFn/p6QNePdlxIb1mEI/JimbprirKG9r4+RWDsDYfofSYh39vPM6Gw/XEhugD+RTtDPFPTk4tHBB4sEiSxP9cns21f/qG3y3dh83h6ZPl3s6T1/a+clJ/eHXWsC7+8v6QEx/CV/trAyLfGZ1GxX0TMjHpNWd8/mAg+MVd10mEj63F65Jw6I0k9MPyDTfriDTrKIvPIGrbOjaaEpj3PYm7WiVxcz+jbL5Pwq67jtao/vtWNbGxSEYjclsbUQNiTn/AKWiJSSDkcDMJQ3K/1XnONrkDQpgxLInZo9JOu+/kXizIrNiO+vnr3RaKk3vPBxjrd+nFhui5ZWQqa1YdY3haBG+sPky1zckdY9O7+YZHDoxk6pABzDspcqo4OZxJubG89o0SfdZXy/1s0m50nQk/GpaEWafpdQR85yUDe9x+IRG8bhlPD5b7kVV43WoadNZ++6wHRltYMnAUbS+9QaPBSnr09yPu/y1IKhW61FSALrVQzgSzf2I356LeKzV+H2jVKp6aPrjHSb2+kh5tpiI0loV3P8s3Yek9+tvbSYk086OSJB6dmh+wSGcMS6KiyYHXJ/foXzbrNfxhZlHADdmZByd3JACmRp2ffuXeGBht4f6Jmd8qnDjYCV5xd/Xgcz/yDV6s1KuN/Rf3GDP76p2UmZRh6/dhqfy3ofe7Zr6tuA+aPAZ1VBTWrG8Xt38+oteoSYsy824VIEkUncJyB3j6usFcnt8xCriiIJ4Qg4bi5LB+W8LZcVauKUxAp1F9q3IOgu+HPom7JEmXS5K0V5KkA5IkPdzD+ymSJC2XJGmbJEmlkiSd3YDqHmi33E1a/0XnasW9fwttFW4Ohgzod3jTwGgL9S0uNh5tQK2SztsZ8AsJ3VkS95CrriLzq5XfWUGm75rsWCten0y4SdvvuSCDVs3fb7uI311fePqde+CJawr4YO6oC9o3faFyWnGXJEkNvAhMAXKBmZIknezcXAC8IcvyYOAx4Mmz3dCTsbvsmDQmVJK/C+XrqdulByTeyxjbL587wEB/fPny3VUkR5j6VEdG8O0wlQxFMpkCiz2cKZIkXdDD7/Y0+KLk8DPq55CksB7dLn3BqFP3qWCe4PyjLwo2HDggy/IhWZZdwCJg2kn75AJf+P/+sof3zzqtnlYs2o5hpmf7choPmmm+eBzVpggSwvoXEpfhH7JWNTu7FUgSnBvMI0eSvXEDmvAzD4X8b6B9YfBTTaYKBCfTF3FPADpXEyr3b+vMVuBa/9/XAFZJks48vq0PtLhbOlwyQP27nyP7JHZOuB6g326ZAWFG9P4MvLSoM5+lF/SPC9niPluUpEaQEx/Sa0SNQNATZysU8kHgBUmSZgErgeNAt8UOJUm6A7gDIDY2ltLS0n59iN1uDxxztOooPp+P0tJSVLZGYjbWo8mOZGWdA4sW1n3zdb87EWOEYzbwNByntLT7cl5nk859CXZEX849Dw2BE7s3cmJ33485X/typlxI/fku+tIXcT8OJHV6nejfFkCW5RP4LXdJkizAdFmWuxWKlmX5ZeBlgJKSEnncuHH9amxpaSntxyz8ZCEhqhDGjRtH8xu/57hHReKsG5Hrw0mNcTJu3Jh+nRtgyIlNHNtWweSRRYEyAOeKzn0JdkRfzk8upL7AhdWf76IvfXHLrAcyJUlKkyRJB8wAPuy8gyRJUZLUPrPJ/wILz24zu9PZLeOrUZbwUg+6iN0VzaSfoVulPVQsTcS4CwSCIOe0lrssyx5JkuYBnwFqYKEsyzslSXoM2CDL8ofAOOBJSZJkFLfM3HPYZkAR9/YYd1+zsgDCESKotlWdccGiGy5KJiZEz4DQs1ufRCAQCL5r+uRzl2V5CbDkpG2/7PT3O8A7Z7dpp6azuMs2Zam2NRUuAEYNPDOXSmyIgRsvCp7Uf4FAIOiNoA3mtrvtHZa7XVlE96ujzSSGGwNF+wUCgeC/laAUd5fXhcfXscSe3GpD0kisKWs4Y6tdIBAILiSCUtxPruXua20BjZpmh4eLM85peL1AIBAEBUEp7na3HfCLu9eDz9GGV6NMH1wsLHeBQCAITnFvdSursVu0FmipRvaAU60hO9YaWF5LIBAI/psJSnFvd8uYtCawVeDzStjRfKs1GwUCgeBCIijFvYtbxlaJ7JVoVekZlSFcMgKBQABBKu5d3DK2CnweiRa1IbBmpUAgEPy3E5TifrLl7vOqaFEbibL0vgixQCAQ/DcRlOJ+ss/d69MgG4xoxAIbAoFAAASpuLe7ZcwaxXL3eFSoDaIejEAgELQTlOJud9sxaoyoVWq/W0ZCY+rf4hwCgUBwIROU4t7ibsGk8dePsVUge0BvFuIuEAgE7QSluLe6W7HoLOBxIrfUIXl9GCyiBrtAIBC0E5TibnfbFcvdXgU+UMlgtIpKkAKBQNBOUIp7i7tFsdz9/nYAS4hY1FogEAjaCVpxVyJlKgLibg0T4i4QCATtBK24m7QmaK5A9ijiHirEXSAQCAIEpbi3eloDpQc8PqXUr8kqxF0gEAjaCUpxt7vsgdIDzXIYAJJBlPoVCASCdoJO3N0+Ny6fK1B6oMEbAoDKIOLcBQKBoJ2gE/euFSErqXcr8e0qoyg/IBAIBO0Enbh3rggpt9bS6FQqQUqitoxAIBAECDpx71IR0mnD6VEmVFVC3AUCgSBA0Il7wC2j0iN5Xbj94i4sd4FAIOgg6MQ94JaRlfh2j1fpgrDcBQKBoIOgE/d2t0x7mTCvX9yF5S4QCAQdBK+4+7wASvkBSULSiSX2BAKBoJ3gFXevDwCdpEEyGpEk6ftslkAgEJxXBJ24R5uiuSj+IkweNwB6SYVKL7JTBQKBoDNBJ+6Xp17OK5NfQetRomb0kgpJJDAJBAJBF4JO3AM4bQDokVDphbgLBAJBZ4JY3JWQSJ3PJyx3gUAgOImgFXdvWzMAGp9PFA0TCASCk+iTuEuSdLkkSXslSTogSdLDPbyfLEnSl5IkbZYkaZskSVec/aZ2xd3WTIusR+txoxLlfgUCgaALpxV3SZLUwIvAFCAXmClJUu5Ju/0fsFiW5SJgBvCns93Qk/G0NdGCEY3HhSQsd4FAIOhCXyz34cABWZYPybLsAhYB007aRwZC/H+HAifOXhN7xttmwyYb0bidwnIXCASCk5BkWT71DpJ0HXC5LMs/9r++GbhIluV5nfaJB5YC4SiVASbKsryxh3PdAdwBEBsbO3TRokX9aqzdbsdiUZbTS9/4KI1NDXg/NSLn59B8yy39Otf3Tee+BDuiL+cnF1Jf4MLqz7fpy/jx4zfKslxyuv00Z3T27swEXpdl+VlJkkYCf5ckKV+WZV/nnWRZfhl4GaCkpEQeN25cvz6ktLSU9mMadzxGuWwkDJmI1FSK+3mu75vOfQl2RF/OTy6kvsCF1Z/voi99ccscB5I6vU70b+vMbcBiAFmWVwMGIOpsNLA3JJedFoxITofwuQsEAsFJ9EXc1wOZkiSlSZKkQ5kw/fCkfY4CEwAkScpBEfeas9nQk1G77dhkAzidotyvQCAQnMRpxV2WZQ8wD/gM2I0SFbNTkqTHJEma6t/tAeB2SZK2Am8Bs+TTOfO/JWpPC61eZSJVlPsVCASCrvTJ5y7L8hJgyUnbftnp713AqLPbtFOj9bTQ5lHEXVjuAoFA0JXgzFD1ONHIbnwooi6JUEiBQCDoQnCKu7+ujIzfcjeKCVWBQCDoTHCKu0upCIkkfO4CgUDQE8Ep7v5yvypJq/wvxF0gEAi6EKTirrhl1JKybqoQd4FAIOhKkIq7Yrmr/Za7cMsIBAJBV4JT3P0+d61wywgEAkGPBKe4+y13jaQGhOUuEAgEJxOU4u5zKOKuQxF3YbkLBAJBV4JS3N1tfnGXlOZLIs5dIBAIunC2Sv5+p3ham/DIegw+LwAqvchQFQgEgs4Ep7g7bDgxYvC5QKNB0mq/7yYJBALBeUVQumV8bc3YZQN6r0dY7QKBQNADQSnustOGHSM6j0v42wUCgaAHglLccdpokY1oPS5huQsEAkEPBKW4q9x27BhRu11IRhEGKRAIBCcTlOKudtuxY0DtdqIS66cKBAJBN4JS3DXuFuyyEZXLKRbqEAgEgh4ISnHXeltwqIz+xbGF5S4QCAQnE3zi7l9iz62xIDscwnIXCASCHgg+cffXcvdozPgcDmG5CwQCQQ8En7j7y/36tGbktjZhuQsEAkEPBJ+4+y13r9aKT/jcBQKBoEeCUNwVy13SW5Db2lCJOHeBQCDoRvCJu0ux3CWdGdntFgt1CAQCQQ8En7g7mwHQaRRRF24ZgUAg6E4QirtiuWvViqiLCVWBQCDoTtCJu6etCQCDRhF1YbkLBAJBd4JusY7W8EF86JmAQaU0XUyoCgQCQXeCznJvjBvN/3luw+xvuZhQFQgEgu4EnbjbnG4ATD4PACoh7gKBQNCNoHPL2B2KqJtlReQl4XMX/JfjdrspLy/H4XB02R4aGsru3bu/p1adfS6k/vSlLwaDgcTERLRnuEZ00Il7i0sRd4NPEXfhcxf8t1NeXo7VaiU1NRVJkgLbbTYbVqv1e2zZ2eVC6s/p+iLLMnV1dZSXl5OWlnZGn9Ent4wkSZdLkrRXkqQDkiQ93MP7z0mStMX/b58kSY1n1Jo+YPNb7gZZ+V/SC3EX/HfjcDiIjIzsIuyC4EaSJCIjI7uNxvrDaS13SZLUwIvAJKAcWC9J0oeyLO9q30eW5Z922v9eoOiMW3Qa7E6/uHtctCAsd4EAEMJ+AfJtf9O+WO7DgQOyLB+SZdkFLAKmnWL/mcBb36pVp6Dd567ztvvchbgLBMHCXXfdxapVq87Z+a+44goaG/vnOHj++ed54403AHj99dc5ceLEGX12aWkp33zzTeD1Cy+8wMKFC8/oXGeDvoh7AnCs0+ty/7ZuSJKUAqQBX3z7pvXMlPx4/nLzUDRuFwAqo5hQFQiChTVr1jBixIhzdv4lS5YQFhbW5/09Hg8LFy7khhtuAM6uuM+ZM4c//vGPZ3Sus8HZnlCdAbwjy7K3pzclSboDuAMgNjaW0tLSfp3cbrdzaPs69EDZ3j1YgJWrV0MQDkntdnu/+3++Ivry/RIaGorNZuu23ev19rj9bDN//nzCw8OZO3cuAI899hhRUVHcc889Xfbbu3cv6enptLa2dtk+Y8YMpk6dyg033MDChQtZtWoVr776apd97rrrLvR6Pdu3b6e2tpYXX3yRt956i3Xr1lFSUsJLL70EQH5+PitWrMButzN9+nRGjhzJ2rVriY+PZ9GiRRhPMgaXL19OQUEBbW1tvP/++2zYsIGZM2diNBpZtmwZe/bs4ec//zktLS1ERETw0ksvERcXx5///GcWLlyIRqMhOzubRx99lD//+c+o1WreeOMNfvvb33LxxReTmJjIl19+SUlJSZfP7etv43A4zvh67Iu4HweSOr1O9G/riRnA3N5OJMvyy8DLACUlJfK4ceP61ko/paWltB9TtW49DQYD48aP79c5zhc69yXYEX35ftm9e3cg8uLRj3ay64RSXM/r9aJWq7/1+XMHhPCrq/J6ff/uu+/m2muv5eGHH8bn8/Huu++ybt26btEgK1eu5Morr+y2feHChYwaNYrc3FxefPFF1qxZ020frVZLU1MT69at48MPP2TGjBmsWrWKvLw8hg0bxsGDByksLESSJCwWCwAHDx7k7bffprCwkOuvv56lS5dy0003dTnv5s2bGTFiBFarlZtvvplXX32VBQsWUFJSgtvt5uGHH+aDDz4gOjqat99+myeffJKFCxfy/PPPU1ZWhl6vp7GxkbCwMO6++24sFgsPPvhg4PwjRoxg06ZNjD9Jp/oa+WMwGCgqOrMpzL6I+3ogU5KkNBRRnwHccPJOkiQNAsKB1WfUkn4iO9pEApNAcB6QmppKZGQkmzdvpqqqiqKiIiIjI7vt99lnn/Haa6912x4bG8tjjz3G+PHjee+994iIiOjxc6ZMmYIkSRQUFBAbG0tBQQEAeXl5HD58mMLCwi77p6WlBbYNHTqUw4cPdztnRUUFOTk5PX7e3r172bFjB5MmTQKUh2V8fDwAgwcP5sYbb+Tqq6/m6quv7uWbgZiYGPbs2dPr++eS04q7LMseSZLmAZ8BamChLMs7JUl6DNggy/KH/l1nAItkWZbPXXM78DmcSMLfLhB0obOF/V3Ghf/4xz/m9ddfp7Kykjlz5nR7v7W1lcbGRgYMGNDj8du3bycyMvKU/m693l8sUKUK/N3+2uPx9Lo/gFqtpq2trds+RqOx13BDWZbJy8tj9eru9urHH3/MypUr+eijj3jiiSfYvn17j+dwOBzdXEHfFX2Kc5dleYksy1myLA+UZfkJ/7ZfdhJ2ZFn+tSzL3WLgzxWyow2VXpT7FQjOB6655ho+/fRT1q9fz2WXXdbt/S+//LKba6KddevW8cknn7B582YWLFhAWVnZuW5ugJycHA4cOBB4bbVaA77w7OxsampqAuLudrvZuXMnPp+PY8eOMX78eJ5++mmampqw2+1djm1n37595Ofnf2f96UzQ1ZZpx9fmEJa7QHCeoNPpGD9+PNdff32Pfv5PPvmEyy+/vNt2p9PJ7bffzsKFCxkwYADPPvssc+bM4TtyADBlyhRWrlwZeD1r1izuuusuCgsL8Xq9vPPOOzz00EMMGTKEwsJCvvnmG7xeLzfddBMFBQUUFRVx3333ERYWxlVXXcV7771HYWEhX331FQCrVq0KuHW+c2RZ/l7+DR06VO4vX375ZeDvw7NmyWUzZvb7HOcLnfsS7Ii+fL/s2rWrx+3Nzc3fWRu8Xq88ZMgQed++fT2+X1RUJLtcrm/1GeeqP1dffXWv7f42bNq0Sb7pppt6fK+vfenpt0Vxh59WY4PWcpcdTrEKk0BwHrBr1y4yMjKYMGECmZmZPe6zadOmMy6Ada556qmnqKioOOvnra2t5fHHHz/r5+0rQVc4rB2fw4G2H8kKAoHg3JCbm8uhQ4e+72acMdnZ2WRnZ5/1835v7hg/wWu5t7WJujICgUDQC0Er7j6HQ9RyFwgEgl4IWnGXHQ5UwucuEAgEPRK04i4sd4FAIOidoBR3WZb9lrvwuQsEwcS5Lvn7bbnuuusCk8O/+c1vzvg8J1eXnDFjBvv37//W7esPwSnuTicAkphQFQiCinNd8vfbsHPnTrxeL+np6cDZFfe7776bZ5555lu3sT8Epbj7/DUiVGKJPYHge+eXv/wlzz//fOD1I488wu9///tu++3evZusrKxuGazTpk0LLJbxl7/8hRtvvLHbsbNmzeKnP/0pI0aMID09ndLSUubMmUNOTg6zZs0K7Hf33XdTUlJCXl4ev/rVrwBoamoiOzubvXv3AjBz5kz++te/dvuMN998k2nTlHWIHn74Ydra2igsLAy05x//+AfDhw+nsLCQO++8E6/Xi9frZdasWeTn51NQUMBzzz3HO++8w4YNG7jxxhspLCykra2NMWPGsGzZsh5r4JwrgjLOXfYX+hGWu0BwEp88DJVKESuj1wPqs3CLxxXAlKd6fXvOnDlce+21/OQnP8Hn87Fo0SLWrVvXvWm9lCB4+eWXGTVqFGlpaTz77LOsWbOmx89paGhg9erVfPjhh0ydOpVVq1bxyiuvMGzYMLZs2UJhYSFPPPEEEREReL1eJkyYwLZt2xg8eDAvvPACs2bN4v7776ehoYHbb7+92/lXrVrFzJkzASWx6YUXXmDLli2A8mB6++23WbVqFVqtlnvuuYc333yTvLw8jh8/zo4dOwAC5X9feOGFQOngdjIyMti6dStDhw49xZd99ghSy10Rd5WYUBUIvnc6l/xdunTpKUv+9iTunUv+Pvvss/0q+atSqQIlfwEWL15McXExRUVF7Ny5k127lKWeJ02aREFBAXPnzuWVV17p8fwVFRVER0f3+N7y5cvZuHEjw4YNo7CwkOXLl3Po0CHS09M5dOgQ9957L59++ikhISG9fk8xMTFnvMrTmRCclrvTL+7CchcIutLJwm77Lyv5W1ZWxoIFC1i/fj3h4eHMmjUrUM7X5/Oxe/duTCYTDQ0NJCYmdjv/6cr/3nrrrTz55JPd3tu6dSufffYZL730EosXL+513dTvuvxvUFvukvC5CwTnBedDyd/m5mbMZjOhoaFUVVXxySefBN577rnnyMnJ4Z///CezZ8/G7XZ3O/7k8r9arTaw34QJE3jnnXeorq4GoL6+niNHjlBbW4vP52P69OnMnz+fTZs2AZwX5X8Jxu/gAAAQg0lEQVSD03J3+CdUheUuEJwXtJf8DQsL67Xk73XXXddte3vJ39dee61Lyd8vvvgCqZ9rIw8ZMoSioiIGDRpEUlISo0aNApQVlV555ZXA0n9jx45l/vz5PProo12O/8EPfkBpaSkTJ04E4I477mDw4MEUFxfz5ptvMn/+fCZPnozP50Or1fLiiy9iNBqZPXs2Pp8PIGDZt5cONhqNrF69mubmZoxGI3Fxcf3q07eiL6Ujz8W/b1Pyt3n5cnlX9iC5dfuOfp/jfCEYS8v2hujL94so+Xt2aG1tlS+66CLZ4/Gc9XP/7ne/k1955ZXAa1Hytxfao2VE+QGB4Psn2Ev+tmM0Gnn00Uc5fvz4WT93WFgYt95661k/76kISrdMwOcuomUEgu+dYC/525me5gvOBrNnzz4n5z0VQWm5+/5/e/ceHFWdJXD8eyoGswMWoLCzrGGFdYEAMQ8kCanoloISMCAY5KEUzq6jFLIqyqoEeag4TgWlwBVxoozI7OoKtTyUitnBwQUnYoHGFdkYgsAIGAs1QwwmQJOEnP2jb5oOeXZIp/v2nE9VF7m37735HX5dp29+93fPtTF3Y4xplSuT+4VhGUvuxhjTHFcm9/qGO1QtuRtjTLNcmdzV40Gio5FmplwZY4xxaXKvP+tBuvBOL2NM5wj3kr8tOXHiBBMmTABg3759FBQUdOg4lZWVvPLKK77l8vLyZksydAZXJnc9Z7XcjXGjcC7525qVK1f6io11ZnLv27cv/fr1C8oXniuTe/1Zj423GxMmwqnk7/vvv096ejojRoxg6tSpVFdXA7Bs2TJSUlKIj49n9uzZeO8FgptuuokFCxaQmprK4MGDKSwsbDbGzZs3M27cOGpqali6dCkbN24kKSmJjRs3cvr0ae69915SU1NJTk7m3XffBbz14RtKBCckJHDo0CFycnI4cuQIGRkZPP744wBMnjyZt956q73/3e3mznnunrN25m5MM5Z/spzSilIAzp8/32wpgEDFXRnHgtQFLb4fLiV/Y2Nj+dWvfsWOHTvo3r07y5cvZ+XKlSxdupQHH3yQpUuXAjBr1izy8/OZOHEiAHV1dXzyyScUFBTwzDPPsGPHjka/9+uvv6Z3796+YmXLli2jqKiIl19+GYAnn3yS0aNHs27dOiorK0lNTeWWW24hLy+PefPmMXPmTGpqajh//jy5ubkUFxeze/duX1G3kSNHsnjx4ra6IWCuTO561mO13I0JE/4lf7///vtWS/6+8cYbTdb7l/zdunVrQCV/AV/J37KyMkpKSnw1ZWpqakhPTwe8hcuef/55zpw5Q0VFBcOHD/cl9+zsbACuv/56X+lgf62VAgbvXwvbtm1jxYoVgLf64/Hjx0lPT+e5556jrKyM7OzsFu/eDVYpYFcm9/pzHqvlbkwz/M+wq/7CSv5GRUVx66238vbbbzfaz+PxMHfuXIqKiujfvz9PP/10o9K+DceKiopq9klJrZUCBm99rs2bNzNkyJBG64cOHUpaWhrvvfcet912G6+++qrvEX4Xty8YpYBdOeauZz2I1ZUxJmyEQ8nfUaNGsXv3bl/Z3tOnT/PVV1/5EnOfPn2orq5m06ZNAR138ODBjc7oLy7nm5mZyerVq33j+J9//jmA72EeDz/8MJMmTWL//v1dWgrYlcm93mNn7saEk4aSv9OmTWux5G9z4+0NJX/XrVvXqORvQ6IMRN++fVm/fj133XUXCQkJpKenU1paSq9evbj//vuJj48nMzOTlJSUgI7bvXt3rr32Wt+Xxs0330xJSYnvguqSJUuora0lISGB4cOHs2TJEsD7VKj4+HiSkpIoLi7mnnvu4aqrriIjI4O0tDTfBdWdO3eSlZUVcLxtak/pyGC8LqXk76GbR+u3TywIeP9w4sbSsi2xWELLSv4G35YtW3TRokWddjz/WG688UatqKhodru/uJK/9efO2VRIY8JEpJT8bc0dd9zBgAEDOv245eXlzJ8/n969e3f6sV15QVXP2lRIY8JFJJX8bc19993X6cfs27cvkydP7vTjQjvH3EVknIgcFJHDIpLTwjbTRKRERL4Ukf/s3GZeoKrUe2wqpDHGtKbNM3cRiQLWALcCZcCnIrJNVUv8thkELAQyVPVHEfnrYDVYa2uhvt4uqBpjTCvac+aeChxW1T+pag2wAZh00Tb3A2tU9UcAVf2hc5t5gfrK/dpUSGOMaUl7kvvVwDd+y2XOOn+DgcEisltE9ohIcMqcceERe3bmbowxLeusC6qXAYOAm4BY4I8icp2qVvpvJCKzgdngveV4165dAf2S6upq9ny4iz7AwaNH8QS4fziprq4OOP5wZbGEVs+ePZvcGAPe2jLNrQ+lRx55hBkzZnSoMmRnxvPFF1/w2muvsWbNGgoLC+nWrRtpaWkBH+fYsWPs3buXadOmAd5iYatXryYvL6/V/dobi8fj6fjnsa25kkA6sN1veSGw8KJt8oB/9lv+AEhp7bgdned+tvSglgyJ01O/3x7w/uHEjfOpW2KxhFY4zHNvr8TERK2rq+vQvh2Np7a2tsm6O++8U/ft26eqqk899ZS+8MILHTr2zp07NSsrq9G6MWPG6LFjx1rdr72xBHue+6fAIBEZKCLdgBnAtou2eQfvWTsi0gfvME1Q5kZpw8OxbczdmLAQ7JK/p06d4pprrqG+vh7wlhXo378/tbW1rF27lpSUFBITE5kyZQpnzpwBvCWC58yZQ1paGk888USj41VVVbF//34SExM5evQoeXl5rFq1iqSkJAoLCykvL2fKlCmkpKSQkpLiq7X+4YcfkpSURFJSEsnJyVRVVZGTk0NhYSFJSUmsWrUKgIkTJ7Jhw4ZL+S/tFG0Oy6hqnYg8CGwHooB1qvqliCzD+w2yzXlvrIiUAOeBx1X1ZDAa3DDmLjbmbkwT3/3615w74C35W3f+PBWdUPL38qFx/M2TT7b4frBL/vbs2ZOkpCQ++ugjsrKyyM/PJzMzk+joaLKzs30P0Vi8eDGvv/46Dz30EABlZWV8/PHHTb5MioqKfLVcBgwYwJw5c+jRowePPfYYAHfffTePPvooN9xwA8ePHyczM5MDBw6wYsUK1qxZQ0ZGBtXV1cTExJCbm8uKFSvIz8/3HX/kyJHk5uY2+VLpau0ac1fVAqDgonVL/X5WYL7zCqr6hjN3m+duTFjoipK/06dPZ8uWLWRlZbFhwwbmzp0LQHFxMYsXL6ayspLq6upGRcumTp3abJ2btkr47tixg5IS30xvfvrpJ6qrq8nIyGD+/PnMnDmT7OxsYmNjm90/WCV8A+W6O1TVcw7Ayg8Y0wz/M+xIKvl7++23s3DhQioqKvjss88YPXo04B1+eeedd0hMTGT9+vWNLj5279692WO1VcK3vr6ePXv2EHNRjsnJySErK4uCggIyMjLYvn17s/sHq4RvoFxXW8Z35m7J3ZiwEeySvz169GDEiBHMmzePCRMm+M7Iq6qq6NevH7W1te1+VN3QoUN9FR6haQnfsWPHsnr1at/yvn37ADhy5AjXXXcdCxYsICUlhdLS0i4t4Rso1yX3CzcxWXI3Jlx0Rcnf7Oxs3nzzTaZPn+5b9+yzz5KWlkZGRgZxcXHtamtcXBynTp3yJeWJEyeydetW3wXVl156iaKiIhISEhg2bJhvWuOLL75IfHw8CQkJREdHM378eBISEoiKiiIxMdF3QTVoJXwD1Z4pNcF4dXQq5J/XvaElQ+K0LgyneQXCjVPuWmKxhFY4TIV0W8nflStX6tq1azvteA08Ho+mpaU1O/3SX7hMhQwr3f6uP1eMHWvDMsaECTeW/H3ggQcaPaqvsxw/fpzc3Fwuuyz0lzND34IAXTFmDFeMGRPqZhhjHG4s+RsTE8OsWbM6/biDBg1q8Quuq7nuzN0YY0zbLLkbEwG0A88cNeHtUvvUkrsxLhcTE8PJkyctwUcQVeXkyZNN5toHwnVj7saYxmJjYykrK6O8vLzReo/Hc0nJIdxEUjztiSUmJqbFu2Dbw5K7MS4XHR3NwIEDm6zftWsXycnJIWhRcERSPF0Riw3LGGNMBLLkbowxEciSuzHGRCAJ1RV2ESkHjgW4Wx/gz0FoTihYLOHJYglfkRTPpcRyjaq2XLPYEbLk3hEiUqSqI0Pdjs5gsYQniyV8RVI8XRGLDcsYY0wEsuRujDERyG3J/bVQN6ATWSzhyWIJX5EUT9BjcdWYuzHGmPZx25m7McaYdnBFcheRcSJyUEQOi0hOqNsTCBHpLyI7RaRERL4UkXnO+itF5A8icsj5t3eo29peIhIlIp+LSL6zPFBE9jr9s1FEuoW6je0lIr1EZJOIlIrIARFJd2vfiMijzmesWETeFpEYt/SNiKwTkR9EpNhvXbP9IF4vOTHtF5ERoWt5Uy3E8oLzGdsvIltFpJffewudWA6KSNMH0HZQ2Cd3EYkC1gDjgWHAXSIyLLStCkgd8K+qOgwYBfyL0/4c4ANVHQR84Cy7xTzggN/ycmCVqv4D8CPwy5C0qmP+Dfi9qsYBiXjjcl3fiMjVwMPASFWNB6KAGbinb9YDFz9ktaV+GA8Mcl6zgd90URvbaz1NY/kDEK+qCcBXwEIAJxfMAIY7+7zi5LxLFvbJHUgFDqvqn1S1BtgATApxm9pNVU+o6v86P1fhTR5X443hd85mvwMmh6aFgRGRWCAL+K2zLMBoYJOziZti6Qn8I/A6gKrWqGolLu0bvIUA/0pELgN+BpzAJX2jqn8EKi5a3VI/TAL+3Xmk6B6gl4j065qWtq25WFT1fVWtcxb3AA3lHicBG1T1nKp+DRzGm/MumRuS+9XAN37LZc461xGRAUAysBf4uaqecN76Dvh5iJoVqBeBJ4B6Z/kqoNLvg+um/hkIlANvOMNMvxWR7riwb1T1W2AFcBxvUj8FfIZ7+wZa7ge354R7gf92fg5aLG5I7hFBRHoAm4FHVPUn//ecJ5qH/bQlEZkA/KCqn4W6LZ3kMmAE8BtVTQZOc9EQjIv6pjfes8CBwN8C3Wk6NOBabumHtojIIrxDtW8F+3e5Ibl/C/T3W4511rmGiETjTexvqeoWZ/X3DX9KOv/+EKr2BSADuF1EjuIdHhuNd8y6lzMUAO7qnzKgTFX3Osub8CZ7N/bNLcDXqlquqrXAFrz95da+gZb7wZU5QUT+CZgAzNQLc9CDFosbkvunwCDnqn83vBcftoW4Te3mjEm/DhxQ1ZV+b20DfuH8/Avg3a5uW6BUdaGqxqrqALz98D+qOhPYCdzpbOaKWABU9TvgGxEZ4qwaA5Tgwr7BOxwzSkR+5nzmGmJxZd84WuqHbcA9zqyZUcApv+GbsCQi4/AOZ96uqmf83toGzBCRy0VkIN6LxJ90yi9V1bB/AbfhvcJ8BFgU6vYE2PYb8P45uR/Y57xuwztW/QFwCNgBXBnqtgYY101AvvPz3zsfyMPAfwGXh7p9AcSRBBQ5/fMO0NutfQM8A5QCxcB/AJe7pW+At/FeK6jF+xfVL1vqB0DwzqA7Avwf3hlCIY+hjVgO4x1bb8gBeX7bL3JiOQiM76x22B2qxhgTgdwwLGOMMSZAltyNMSYCWXI3xpgIZMndGGMikCV3Y4yJQJbcjTEmAllyN8aYCGTJ3RhjItD/A8FGhCr7/EIEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "t0 = np.max(summary[' train_loss'])\n",
    "z0 = np.max(summary[' z_train.var'])\n",
    "zr0 = np.max(summary[' z_train.max'] - summary[' z_train.min'])\n",
    "ax.plot(summary['epoch'], summary[' train_loss'] / summary[' test_loss'], label='train / test loss', alpha=1.0, color='black')\n",
    "ax.plot(summary['epoch'], summary[' train_loss'] / t0, label='normalized train loss')\n",
    "ax.plot(summary['epoch'], summary[' test_loss'] / t0, label='normalized test loss')\n",
    "ax.plot(summary['epoch'], summary[' z_train.var'] / z0, label='normalized z-train variance', alpha=0.8, color='red')\n",
    "ax.plot(summary['epoch'], summary[' z_train.var'] / z0, label='normalized z-test variance', alpha=0.8, color='blue')\n",
    "ax.plot(summary['epoch'], (summary[' z_train.max'] - summary[' z_train.min']) / zr0, label='normalized z-train min / max range', alpha=1.0, color='magenta')\n",
    "ax.plot(summary['epoch'], (summary[' z_test.max'] - summary[' z_test.min']) / zr0, label='normalized z-test min / max range', alpha=1.0, color='green')\n",
    "ax.grid()\n",
    "ax.legend()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "ytrv = summary[' y_train.var']\n",
    "ytev = summary[' y_test.var']\n",
    "\n",
    "ytrr = summary[' y_train.max'] - summary[' y_train.min']\n",
    "yter = summary[' y_test.max'] - summary[' y_test.min']\n",
    "\n",
    "ytrm = summary[' y_train.mean']\n",
    "ytem = summary[' y_train.mean']\n",
    "\n",
    "ax.plot(summary['epoch'], ytrv / ytrv[0], label='normalized y variance (train)')\n",
    "ax.plot(summary['epoch'], ytev / ytev[0], label='normalized y variance (test)')\n",
    "ax.grid()\n",
    "ax.legend()\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "\n",
    "ax.plot(summary['epoch'], ytrr / ytrr[0], label='normalized y min / max range (train)')\n",
    "ax.plot(summary['epoch'], yter / yter[0], label='normalized y min / max range (test)')\n",
    "ax.grid()\n",
    "ax.legend()\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "\n",
    "ax.plot(summary['epoch'], ytrm / ytrm[0], label='normalized y mean (train)')\n",
    "ax.plot(summary['epoch'], ytem / ytem[0], label='normalized y mean (test)')\n",
    "ax.grid()\n",
    "ax.legend()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(summary['epoch'], summary[' y_train.min'] / summary[' x_train.min'], label='y / x min (train)')\n",
    "ax.plot(summary['epoch'], summary[' y_train.max'] / summary[' x_train.max'], label='y / x max (train)')\n",
    "ax.plot(summary['epoch'], summary[' y_train.mean'] / summary[' x_train.mean'], label='y / x mean (train)')\n",
    "ax.plot(summary['epoch'], summary[' y_train.var'] / summary[' x_train.var'], label='y / x var (train)')\n",
    "ax.grid()\n",
    "ax.legend()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(summary['epoch'], summary[' y_test.min'] / summary[' x_test.min'], label='y / x min (test)')\n",
    "ax.plot(summary['epoch'], summary[' y_test.max'] / summary[' x_test.max'], label='y / x max (test)')\n",
    "ax.plot(summary['epoch'], summary[' y_test.mean'] / summary[' x_test.mean'], label='y / x mean (test)')\n",
    "ax.plot(summary['epoch'], summary[' y_test.var'] / summary[' x_test.var'], label='y / x var (test)')\n",
    "ax.grid()\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x11f146a90>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "def plot_distribution (ax, value, color):\n",
    "    label = value.strip()\n",
    "    x, min_, max_, mean_, var_ = summary['epoch'], summary['%s.min'%value], summary['%s.max'%value], summary['%s.mean'%value], summary['%s.var'%value]\n",
    "    stdev = var_ ** 0.5\n",
    "#     ax.plot(x, min_, color=color, alpha=0.3)\n",
    "#     ax.plot(x, max_, color=color, alpha=0.3)\n",
    "    ax.plot(x, mean_, color=color, alpha=0.3)\n",
    "    ax.plot(x, mean_ + stdev, color=color, alpha=0.3, dashes=[6,2])\n",
    "    ax.plot(x, mean_ - stdev, color=color, alpha=0.3, dashes=[6,2])\n",
    "\n",
    "def plot_means (ax, value, color):\n",
    "    label = value.strip()\n",
    "    x, min_, max_, mean_, var_ = summary['epoch'], summary['%s.min'%value], summary['%s.max'%value], summary['%s.mean'%value], summary['%s.var'%value]\n",
    "    ax.plot(x, mean_, color=color, alpha=0.3)\n",
    "\n",
    "def plot_vars (ax, value, color):\n",
    "    label = value.strip()\n",
    "    x, min_, max_, mean_, var_ = summary['epoch'], summary['%s.min'%value], summary['%s.max'%value], summary['%s.mean'%value], summary['%s.var'%value]\n",
    "    ax.plot(x, var_, color=color, alpha=0.3)\n",
    "    \n",
    "def plot_range (ax, value, color):\n",
    "    label = value.strip()\n",
    "    x, min_, max_, mean_, var_ = summary['epoch'], summary['%s.min'%value], summary['%s.max'%value], summary['%s.mean'%value], summary['%s.var'%value]\n",
    "    ax.plot(x, max_ - min_, label=value, color=color, alpha=0.3)\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.set(title='x -> y distribution')\n",
    "plot_distribution(ax, ' x_train', color='blue')\n",
    "plot_distribution(ax, ' x_test', color='green')\n",
    "plot_distribution(ax, ' y_train', color='red')\n",
    "plot_distribution(ax, ' y_test', color='orange')\n",
    "ax.legend()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.set(title='x -> y mean')\n",
    "plot_means(ax, ' x_train', color='blue')\n",
    "plot_means(ax, ' x_test', color='green')\n",
    "plot_means(ax, ' y_train', color='red')\n",
    "plot_means(ax, ' y_test', color='orange')\n",
    "ax.legend()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.set(title='x -> y variance')\n",
    "plot_vars(ax, ' x_train', color='blue')\n",
    "plot_vars(ax, ' x_test', color='green')\n",
    "plot_vars(ax, ' y_train', color='red')\n",
    "plot_vars(ax, ' y_test', color='orange')\n",
    "ax.legend()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.set(title='x -> y min / max range')\n",
    "plot_range(ax, ' x_train', color='blue')\n",
    "plot_range(ax, ' x_test', color='green')\n",
    "plot_range(ax, ' y_train', color='red')\n",
    "plot_range(ax, ' y_test', color='orange')\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x11eb3d668>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.set(title='z distribution')\n",
    "plot_distribution(ax, ' z_train', color='blue')\n",
    "plot_distribution(ax, ' z_test', color='green')\n",
    "ax.legend()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.set(title='z mean')\n",
    "plot_means(ax, ' z_train', color='blue')\n",
    "plot_means(ax, ' z_test', color='green')\n",
    "ax.legend()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.set(title='z variance')\n",
    "plot_vars(ax, ' z_train', color='blue')\n",
    "plot_vars(ax, ' z_test', color='green')\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x10dddb748>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.set(title='individual z distributions (mean and +/- 1 stdev)')\n",
    "for i in range(10):\n",
    "    plot_distribution(ax, ' z_train[%s]'%i, color=None)\n",
    "ax.legend()\n",
    "    \n",
    "fig, ax = plt.subplots()\n",
    "ax.set(title='individual z means')\n",
    "for i in range(10):\n",
    "    plot_means(ax, ' z_train[%s]'%i, color=None)\n",
    "ax.legend()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.set(title='individual z variances')\n",
    "for i in range(10):\n",
    "    plot_vars(ax, ' z_train[%s]'%i, color=None)\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}