inplay.ipynb

{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5-final"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "Python 3.8.5 64-bit ('tfenv': conda)",
   "display_name": "Python 3.8.5 64-bit ('tfenv': conda)",
   "metadata": {
    "interpreter": {
     "hash": "916a3f29a88f77c2f5dbe0921013e3c6102186662f3922578d8324ea0c6a5534"
    }
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "from math import sqrt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot\n",
    "from tqdm import tqdm\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from tensorflow import keras\n",
    "from tensorflow.keras import layers\n",
    "\n",
    "pd.set_option('display.max_rows', 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_incidents=pd.read_csv('data/incidents.csv', index_col=None)\n",
    "df_incidents=df_incidents.loc[df_incidents['incidentType']!='varDecision']\n",
    "df_incidents=df_incidents.loc[df_incidents['incidentType']!='injuryTime']\n",
    "df_incidents=df_incidents.loc[df_incidents['time']>0]\n",
    "df_incidents=df_incidents.loc[df_incidents['time']<91]\n",
    "torem=['period','injuryTime']\n",
    "df_incidents=df_incidents.loc[~(df_incidents['incidentType'].isin(torem))]\n",
    "df_incidents.loc[(df_incidents['addedTime']>0) & (df_incidents['time']==90),'time']=90.5\n",
    "df_incidents.loc[(df_incidents['addedTime']>0) & (df_incidents['time']==45),'time']=45.5\n",
    "\n",
    "df_graph=pd.read_csv('data/graph.csv', index_col=None)\n",
    "df_graph=df_graph.loc[df_graph['minute']>0]\n",
    "df_graph=df_graph.loc[df_graph['minute']<91]\n",
    "df_graph.columns=['mid','time','graph']\n",
    "df_graph=df_graph.loc[df_graph['mid'].isin(df_incidents['mid'].unique())]\n",
    "df=df_graph.merge(df_incidents[['mid','time','position1','incidentType','isHome']], on=['mid','time'], how='left')\n",
    "\n",
    "df=pd.get_dummies(df, columns=['incidentType'], prefix=['it'] )\n",
    "df=pd.get_dummies(df, columns=['position1'], prefix=['p'] )\n",
    "df=pd.get_dummies(df, columns=['isHome'], prefix=['h'] )\n",
    "\n",
    "df['h_goal']=df['it_goal']*df['h_True']\n",
    "df['a_goal']=df['it_goal']*df['h_False']\n",
    "\n",
    "df['h_red']=(df['it_red']+df['it_yellowRed'])*df['h_True']\n",
    "df['a_red']=(df['it_red']+df['it_yellowRed'])*df['h_False']\n",
    "\n",
    "df['h_yellow']=(df['it_yellow']+df['it_yellowRed'])*df['h_True']\n",
    "df['a_yellow']=(df['it_yellow']+df['it_yellowRed'])*df['h_False']\n",
    "\n",
    "df['h_penalty']=df['it_inGamePenalty']*df['h_True']\n",
    "df['a_penalty']=df['it_inGamePenalty']*df['h_False']\n",
    "\n",
    "df['h_subs']=df['it_substitution']*df['h_True']\n",
    "df['a_subs']=df['it_substitution']*df['h_False']\n",
    "\n",
    "df.drop(['it_yellowRed','it_inGamePenalty','it_substitution','it_yellow','it_red','it_goal','h_True','h_False'], axis = 1, inplace=True) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['h_goal_next']=df.groupby('mid')['h_goal'].apply(lambda x: x.shift(-1))\n",
    "df['a_goal_next']=df.groupby('mid')['a_goal'].apply(lambda x: x.shift(-1))\n",
    "df['graph3']=df.groupby('mid')['graph'].apply(lambda x: x.rolling(3, min_periods=1).sum())\n",
    "df['hsc']=df.groupby('mid')['h_goal'].apply(lambda x: x.cumsum())\n",
    "df['asc']=df.groupby('mid')['a_goal'].apply(lambda x: x.cumsum())\n",
    "#df['g3']=df.groupby('mid')['graph'].apply(lambda x: x.shift(1).rolling(3, min_periods=1).sum())\n",
    "df=df.fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "            mid  time  graph  p_D  p_F  p_G  p_M  h_goal  a_goal  h_red  ...  \\\n",
       "914172  8699223   1.0      2    0    0    0    0       0       0      0  ...   \n",
       "914173  8699223   2.0    -49    0    0    0    0       0       0      0  ...   \n",
       "914174  8699223   3.0    -27    0    0    0    0       0       0      0  ...   \n",
       "914175  8699223   4.0    -10    0    0    0    0       0       0      0  ...   \n",
       "914176  8699223   5.0      7    0    0    0    0       0       0      0  ...   \n",
       "914177  8699223   6.0      8    0    0    0    0       0       0      0  ...   \n",
       "914178  8699223   7.0     10    0    0    0    0       0       0      0  ...   \n",
       "914179  8699223   8.0      8    0    0    0    0       0       0      0  ...   \n",
       "914180  8699223   9.0     21    0    0    0    0       0       0      0  ...   \n",
       "914181  8699223  10.0      9    0    0    0    0       0       0      0  ...   \n",
       "914182  8699223  11.0      7    0    0    0    0       0       0      0  ...   \n",
       "914183  8699223  12.0     11    0    0    0    0       0       0      0  ...   \n",
       "914184  8699223  13.0     13    0    0    0    0       0       0      0  ...   \n",
       "914185  8699223  14.0      8    0    0    0    0       0       0      0  ...   \n",
       "914186  8699223  15.0      3    0    0    0    0       0       0      0  ...   \n",
       "914187  8699223  16.0    -93    1    0    0    0       0       1      0  ...   \n",
       "914188  8699223  17.0    -52    0    0    0    0       0       0      0  ...   \n",
       "914189  8699223  18.0    -29    0    0    0    0       0       0      0  ...   \n",
       "914190  8699223  19.0     23    0    0    0    0       0       0      0  ...   \n",
       "914191  8699223  20.0     12    0    0    0    0       0       0      0  ...   \n",
       "914192  8699223  21.0     22    0    0    0    0       0       0      0  ...   \n",
       "914193  8699223  22.0     26    0    0    0    0       0       0      0  ...   \n",
       "914194  8699223  23.0     17    0    0    0    0       0       0      0  ...   \n",
       "914195  8699223  24.0     15    0    0    0    0       0       0      0  ...   \n",
       "914196  8699223  25.0     10    0    0    0    0       0       0      0  ...   \n",
       "914197  8699223  26.0     12    0    0    0    0       0       0      0  ...   \n",
       "914198  8699223  27.0      8    0    0    0    0       0       0      0  ...   \n",
       "914199  8699223  28.0      6    0    0    0    0       0       0      0  ...   \n",
       "914200  8699223  29.0     10    0    0    0    0       0       0      0  ...   \n",
       "914201  8699223  30.0     13    0    0    0    0       0       0      0  ...   \n",
       "914202  8699223  31.0      9    0    0    0    0       0       0      0  ...   \n",
       "914203  8699223  32.0     12    0    0    0    0       0       0      0  ...   \n",
       "914204  8699223  33.0      9    0    0    0    0       0       0      0  ...   \n",
       "914205  8699223  34.0    -29    0    0    0    0       0       0      0  ...   \n",
       "914206  8699223  35.0    -54    0    0    0    0       0       0      0  ...   \n",
       "914207  8699223  36.0    -41    0    0    0    0       0       0      0  ...   \n",
       "914208  8699223  37.0    -23    0    0    0    0       0       0      0  ...   \n",
       "914209  8699223  38.0    -13    0    0    0    0       0       0      0  ...   \n",
       "914210  8699223  39.0     -9    0    0    0    0       0       0      0  ...   \n",
       "914211  8699223  40.0     15    0    0    0    1       0       0      0  ...   \n",
       "914212  8699223  41.0    -11    0    0    0    0       0       0      0  ...   \n",
       "914213  8699223  42.0      5    0    0    0    0       0       0      0  ...   \n",
       "914214  8699223  43.0      6    0    0    0    0       0       0      0  ...   \n",
       "914215  8699223  44.0      4    0    0    0    0       0       0      0  ...   \n",
       "914216  8699223  45.0      1    0    0    0    0       0       0      0  ...   \n",
       "914217  8699223  45.5     45    0    0    0    0       0       0      0  ...   \n",
       "914218  8699223  46.0     27    0    1    0    0       0       0      0  ...   \n",
       "914219  8699223  46.0     27    1    0    0    0       0       0      0  ...   \n",
       "914220  8699223  47.0     11    0    0    0    0       0       0      0  ...   \n",
       "914221  8699223  48.0     82    0    0    0    1       1       0      0  ...   \n",
       "914222  8699223  49.0     55    0    0    0    0       0       0      0  ...   \n",
       "914223  8699223  50.0     30    0    0    0    0       0       0      0  ...   \n",
       "914224  8699223  51.0     49    0    0    0    0       0       0      0  ...   \n",
       "914225  8699223  52.0    -30    0    1    0    0       0       0      0  ...   \n",
       "914226  8699223  53.0     -6    0    0    0    0       0       0      0  ...   \n",
       "914227  8699223  54.0     71    0    0    0    0       0       0      0  ...   \n",
       "914228  8699223  55.0     81    0    0    0    0       0       0      0  ...   \n",
       "914229  8699223  56.0     17    0    0    0    0       0       0      0  ...   \n",
       "914230  8699223  57.0    100    1    0    0    0       1       0      0  ...   \n",
       "914231  8699223  58.0     20    0    0    0    1       0       0      0  ...   \n",
       "914232  8699223  59.0      8    0    0    0    0       0       0      0  ...   \n",
       "914233  8699223  60.0      2    0    0    0    0       0       0      0  ...   \n",
       "914234  8699223  61.0     -5    0    0    0    0       0       0      0  ...   \n",
       "914235  8699223  62.0     -8    1    0    0    0       0       0      0  ...   \n",
       "914236  8699223  63.0     -1    0    0    0    0       0       0      0  ...   \n",
       "914237  8699223  64.0      1    0    0    0    0       0       0      0  ...   \n",
       "914238  8699223  65.0     26    0    0    0    0       0       0      0  ...   \n",
       "914239  8699223  66.0     14    0    0    0    0       0       0      0  ...   \n",
       "914240  8699223  67.0      2    0    0    0    0       0       0      0  ...   \n",
       "914241  8699223  68.0     -2    0    0    0    0       0       0      0  ...   \n",
       "914242  8699223  69.0     -3    0    0    0    0       0       0      0  ...   \n",
       "914243  8699223  70.0     33    0    1    0    0       0       0      0  ...   \n",
       "914244  8699223  71.0     11    0    0    0    0       0       0      0  ...   \n",
       "914245  8699223  72.0    -77    0    1    0    0       0       0      0  ...   \n",
       "914246  8699223  72.0    -77    0    1    0    0       0       1      0  ...   \n",
       "914247  8699223  73.0    -39    0    0    0    1       0       0      0  ...   \n",
       "914248  8699223  73.0    -39    0    0    0    1       0       0      0  ...   \n",
       "914249  8699223  74.0    -20    0    0    0    0       0       0      0  ...   \n",
       "914250  8699223  75.0    -12    0    0    0    0       0       0      0  ...   \n",
       "914251  8699223  76.0    -49    0    0    0    0       0       0      0  ...   \n",
       "914252  8699223  77.0    -40    0    0    0    0       0       0      0  ...   \n",
       "914253  8699223  78.0    -31    0    0    0    0       0       0      0  ...   \n",
       "914254  8699223  79.0     33    0    0    0    0       0       0      0  ...   \n",
       "914255  8699223  80.0     12    0    0    0    0       0       0      0  ...   \n",
       "914256  8699223  81.0      9    0    0    0    0       0       0      0  ...   \n",
       "914257  8699223  82.0     36    0    0    0    0       0       0      0  ...   \n",
       "914258  8699223  83.0     96    0    0    0    1       1       0      0  ...   \n",
       "914259  8699223  84.0     53    0    0    0    0       0       0      0  ...   \n",
       "914260  8699223  85.0     31    0    0    0    0       0       0      0  ...   \n",
       "914261  8699223  86.0      2    0    0    0    0       0       0      0  ...   \n",
       "914262  8699223  87.0     -3    0    0    0    0       0       0      0  ...   \n",
       "914263  8699223  88.0    -39    0    0    0    0       0       0      0  ...   \n",
       "914264  8699223  89.0    -29    0    0    0    0       0       0      0  ...   \n",
       "914265  8699223  90.0    -29    0    0    0    0       0       0      0  ...   \n",
       "914266  8699223  90.5    -60    1    0    0    0       0       0      0  ...   \n",
       "\n",
       "        a_yellow  h_penalty  a_penalty  h_subs  a_subs  h_goal_next  \\\n",
       "914172         0          0          0       0       0          0.0   \n",
       "914173         0          0          0       0       0          0.0   \n",
       "914174         0          0          0       0       0          0.0   \n",
       "914175         0          0          0       0       0          0.0   \n",
       "914176         0          0          0       0       0          0.0   \n",
       "914177         0          0          0       0       0          0.0   \n",
       "914178         0          0          0       0       0          0.0   \n",
       "914179         0          0          0       0       0          0.0   \n",
       "914180         0          0          0       0       0          0.0   \n",
       "914181         0          0          0       0       0          0.0   \n",
       "914182         0          0          0       0       0          0.0   \n",
       "914183         0          0          0       0       0          0.0   \n",
       "914184         0          0          0       0       0          0.0   \n",
       "914185         0          0          0       0       0          0.0   \n",
       "914186         0          0          0       0       0          0.0   \n",
       "914187         0          0          0       0       0          0.0   \n",
       "914188         0          0          0       0       0          0.0   \n",
       "914189         0          0          0       0       0          0.0   \n",
       "914190         0          0          0       0       0          0.0   \n",
       "914191         0          0          0       0       0          0.0   \n",
       "914192         0          0          0       0       0          0.0   \n",
       "914193         0          0          0       0       0          0.0   \n",
       "914194         0          0          0       0       0          0.0   \n",
       "914195         0          0          0       0       0          0.0   \n",
       "914196         0          0          0       0       0          0.0   \n",
       "914197         0          0          0       0       0          0.0   \n",
       "914198         0          0          0       0       0          0.0   \n",
       "914199         0          0          0       0       0          0.0   \n",
       "914200         0          0          0       0       0          0.0   \n",
       "914201         0          0          0       0       0          0.0   \n",
       "914202         0          0          0       0       0          0.0   \n",
       "914203         0          0          0       0       0          0.0   \n",
       "914204         0          0          0       0       0          0.0   \n",
       "914205         0          0          0       0       0          0.0   \n",
       "914206         0          0          0       0       0          0.0   \n",
       "914207         0          0          0       0       0          0.0   \n",
       "914208         0          0          0       0       0          0.0   \n",
       "914209         0          0          0       0       0          0.0   \n",
       "914210         0          0          0       0       0          0.0   \n",
       "914211         1          0          0       0       0          0.0   \n",
       "914212         0          0          0       0       0          0.0   \n",
       "914213         0          0          0       0       0          0.0   \n",
       "914214         0          0          0       0       0          0.0   \n",
       "914215         0          0          0       0       0          0.0   \n",
       "914216         0          0          0       0       0          0.0   \n",
       "914217         0          0          0       0       0          0.0   \n",
       "914218         0          0          0       1       0          0.0   \n",
       "914219         0          0          0       1       0          0.0   \n",
       "914220         0          0          0       0       0          1.0   \n",
       "914221         0          0          0       0       0          0.0   \n",
       "914222         0          0          0       0       0          0.0   \n",
       "914223         0          0          0       0       0          0.0   \n",
       "914224         0          0          0       0       0          0.0   \n",
       "914225         0          0          0       0       1          0.0   \n",
       "914226         0          0          0       0       0          0.0   \n",
       "914227         0          0          0       0       0          0.0   \n",
       "914228         0          0          0       0       0          0.0   \n",
       "914229         0          0          0       0       0          1.0   \n",
       "914230         0          0          0       0       0          0.0   \n",
       "914231         0          0          0       0       1          0.0   \n",
       "914232         0          0          0       0       0          0.0   \n",
       "914233         0          0          0       0       0          0.0   \n",
       "914234         0          0          0       0       0          0.0   \n",
       "914235         0          0          0       1       0          0.0   \n",
       "914236         0          0          0       0       0          0.0   \n",
       "914237         0          0          0       0       0          0.0   \n",
       "914238         0          0          0       0       0          0.0   \n",
       "914239         0          0          0       0       0          0.0   \n",
       "914240         0          0          0       0       0          0.0   \n",
       "914241         0          0          0       0       0          0.0   \n",
       "914242         0          0          0       0       0          0.0   \n",
       "914243         1          0          0       0       0          0.0   \n",
       "914244         0          0          0       0       0          0.0   \n",
       "914245         0          0          0       0       1          0.0   \n",
       "914246         0          0          0       0       0          0.0   \n",
       "914247         0          0          0       0       1          0.0   \n",
       "914248         0          0          0       1       0          0.0   \n",
       "914249         0          0          0       0       0          0.0   \n",
       "914250         0          0          0       0       0          0.0   \n",
       "914251         0          0          0       0       0          0.0   \n",
       "914252         0          0          0       0       0          0.0   \n",
       "914253         0          0          0       0       0          0.0   \n",
       "914254         0          0          0       0       0          0.0   \n",
       "914255         0          0          0       0       0          0.0   \n",
       "914256         0          0          0       0       0          0.0   \n",
       "914257         0          0          0       0       0          1.0   \n",
       "914258         0          0          0       0       0          0.0   \n",
       "914259         0          0          0       0       0          0.0   \n",
       "914260         0          0          0       1       0          0.0   \n",
       "914261         0          0          0       0       0          0.0   \n",
       "914262         0          0          0       0       0          0.0   \n",
       "914263         0          0          0       0       0          0.0   \n",
       "914264         0          0          0       0       0          0.0   \n",
       "914265         0          0          0       0       0          0.0   \n",
       "914266         0          0          0       0       0          0.0   \n",
       "\n",
       "        a_goal_next  graph3  hsc  asc  \n",
       "914172          0.0     2.0    0    0  \n",
       "914173          0.0   -47.0    0    0  \n",
       "914174          0.0   -74.0    0    0  \n",
       "914175          0.0   -86.0    0    0  \n",
       "914176          0.0   -30.0    0    0  \n",
       "914177          0.0     5.0    0    0  \n",
       "914178          0.0    25.0    0    0  \n",
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<td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>57.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914193</th>\n      <td>8699223</td>\n      <td>22.0</td>\n      <td>26</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>60.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914194</th>\n      <td>8699223</td>\n      <td>23.0</td>\n      <td>17</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>65.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914195</th>\n      <td>8699223</td>\n      <td>24.0</td>\n      <td>15</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>58.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914196</th>\n      <td>8699223</td>\n      <td>25.0</td>\n      <td>10</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914197</th>\n      <td>8699223</td>\n      <td>26.0</td>\n      <td>12</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>37.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914198</th>\n      <td>8699223</td>\n      <td>27.0</td>\n      <td>8</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>30.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914199</th>\n      <td>8699223</td>\n      <td>28.0</td>\n      <td>6</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914200</th>\n      <td>8699223</td>\n      <td>29.0</td>\n      <td>10</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>24.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914201</th>\n      <td>8699223</td>\n      <td>30.0</td>\n      <td>13</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>29.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914202</th>\n      <td>8699223</td>\n      <td>31.0</td>\n      <td>9</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>32.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914203</th>\n      <td>8699223</td>\n      <td>32.0</td>\n      <td>12</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>34.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914204</th>\n      <td>8699223</td>\n      <td>33.0</td>\n      <td>9</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>30.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914205</th>\n      <td>8699223</td>\n      <td>34.0</td>\n      <td>-29</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-8.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914206</th>\n      <td>8699223</td>\n      <td>35.0</td>\n      <td>-54</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-74.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914207</th>\n      <td>8699223</td>\n      <td>36.0</td>\n      <td>-41</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-124.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914208</th>\n      <td>8699223</td>\n      <td>37.0</td>\n      <td>-23</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-118.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914209</th>\n      <td>8699223</td>\n      <td>38.0</td>\n      <td>-13</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-77.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914210</th>\n      <td>8699223</td>\n      <td>39.0</td>\n      <td>-9</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-45.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914211</th>\n      <td>8699223</td>\n      <td>40.0</td>\n      <td>15</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-7.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914212</th>\n      <td>8699223</td>\n      <td>41.0</td>\n      <td>-11</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-5.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914213</th>\n      <td>8699223</td>\n      <td>42.0</td>\n      <td>5</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>9.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914214</th>\n      <td>8699223</td>\n      <td>43.0</td>\n      <td>6</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914215</th>\n      <td>8699223</td>\n      <td>44.0</td>\n      <td>4</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>15.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914216</th>\n      <td>8699223</td>\n      <td>45.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>11.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914217</th>\n      <td>8699223</td>\n      <td>45.5</td>\n      <td>45</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>50.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914218</th>\n      <td>8699223</td>\n      <td>46.0</td>\n      <td>27</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>73.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914219</th>\n      <td>8699223</td>\n      <td>46.0</td>\n      <td>27</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>99.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914220</th>\n      <td>8699223</td>\n      <td>47.0</td>\n      <td>11</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>65.0</td>\n      <td>0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914221</th>\n      <td>8699223</td>\n      <td>48.0</td>\n      <td>82</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>120.0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914222</th>\n      <td>8699223</td>\n      <td>49.0</td>\n      <td>55</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>148.0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914223</th>\n      <td>8699223</td>\n      <td>50.0</td>\n      <td>30</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>167.0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914224</th>\n      <td>8699223</td>\n      <td>51.0</td>\n      <td>49</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>134.0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914225</th>\n      <td>8699223</td>\n      <td>52.0</td>\n      <td>-30</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>49.0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914226</th>\n      <td>8699223</td>\n      <td>53.0</td>\n      <td>-6</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>13.0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914227</th>\n      <td>8699223</td>\n      <td>54.0</td>\n      <td>71</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>35.0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914228</th>\n      <td>8699223</td>\n      <td>55.0</td>\n      <td>81</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>146.0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914229</th>\n      <td>8699223</td>\n      <td>56.0</td>\n      <td>17</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>169.0</td>\n      <td>1</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914230</th>\n      <td>8699223</td>\n      <td>57.0</td>\n      <td>100</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>198.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914231</th>\n      <td>8699223</td>\n      <td>58.0</td>\n      <td>20</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>137.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914232</th>\n      <td>8699223</td>\n      <td>59.0</td>\n      <td>8</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>128.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914233</th>\n      <td>8699223</td>\n      <td>60.0</td>\n      <td>2</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>30.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914234</th>\n      <td>8699223</td>\n      <td>61.0</td>\n      <td>-5</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>5.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914235</th>\n      <td>8699223</td>\n      <td>62.0</td>\n      <td>-8</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-11.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914236</th>\n      <td>8699223</td>\n      <td>63.0</td>\n      <td>-1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-14.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914237</th>\n      <td>8699223</td>\n      <td>64.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-8.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914238</th>\n      <td>8699223</td>\n      <td>65.0</td>\n      <td>26</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>26.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914239</th>\n      <td>8699223</td>\n      <td>66.0</td>\n      <td>14</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>41.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914240</th>\n      <td>8699223</td>\n      <td>67.0</td>\n      <td>2</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>42.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914241</th>\n      <td>8699223</td>\n      <td>68.0</td>\n      <td>-2</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>14.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914242</th>\n      <td>8699223</td>\n      <td>69.0</td>\n      <td>-3</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-3.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914243</th>\n      <td>8699223</td>\n      <td>70.0</td>\n      <td>33</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>28.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914244</th>\n      <td>8699223</td>\n      <td>71.0</td>\n      <td>11</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>41.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914245</th>\n      <td>8699223</td>\n      <td>72.0</td>\n      <td>-77</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>-33.0</td>\n      <td>2</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>914246</th>\n      <td>8699223</td>\n      <td>72.0</td>\n      <td>-77</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-143.0</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914247</th>\n      <td>8699223</td>\n      <td>73.0</td>\n      <td>-39</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-193.0</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914248</th>\n      <td>8699223</td>\n      <td>73.0</td>\n      <td>-39</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-155.0</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914249</th>\n      <td>8699223</td>\n      <td>74.0</td>\n      <td>-20</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-98.0</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914250</th>\n      <td>8699223</td>\n      <td>75.0</td>\n      <td>-12</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-71.0</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914251</th>\n      <td>8699223</td>\n      <td>76.0</td>\n      <td>-49</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-81.0</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914252</th>\n      <td>8699223</td>\n      <td>77.0</td>\n      <td>-40</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-101.0</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914253</th>\n      <td>8699223</td>\n      <td>78.0</td>\n      <td>-31</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-120.0</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914254</th>\n      <td>8699223</td>\n      <td>79.0</td>\n      <td>33</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-38.0</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914255</th>\n      <td>8699223</td>\n      <td>80.0</td>\n      <td>12</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>14.0</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914256</th>\n      <td>8699223</td>\n      <td>81.0</td>\n      <td>9</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>54.0</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914257</th>\n      <td>8699223</td>\n      <td>82.0</td>\n      <td>36</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>0.0</td>\n      <td>57.0</td>\n      <td>2</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914258</th>\n      <td>8699223</td>\n      <td>83.0</td>\n      <td>96</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>141.0</td>\n      <td>3</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914259</th>\n      <td>8699223</td>\n      <td>84.0</td>\n      <td>53</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>185.0</td>\n      <td>3</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914260</th>\n      <td>8699223</td>\n      <td>85.0</td>\n      <td>31</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>180.0</td>\n      <td>3</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914261</th>\n      <td>8699223</td>\n      <td>86.0</td>\n      <td>2</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>86.0</td>\n      <td>3</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914262</th>\n      <td>8699223</td>\n      <td>87.0</td>\n      <td>-3</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>30.0</td>\n      <td>3</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914263</th>\n      <td>8699223</td>\n      <td>88.0</td>\n      <td>-39</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-40.0</td>\n      <td>3</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914264</th>\n      <td>8699223</td>\n      <td>89.0</td>\n      <td>-29</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-71.0</td>\n      <td>3</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914265</th>\n      <td>8699223</td>\n      <td>90.0</td>\n      <td>-29</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-97.0</td>\n      <td>3</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>914266</th>\n      <td>8699223</td>\n      <td>90.5</td>\n      <td>-60</td>\n      <td>1</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>-118.0</td>\n      <td>3</td>\n      <td>2</td>\n    </tr>\n  </tbody>\n</table>\n<p>95 rows × 22 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 5
    }
   ],
   "source": [
    "df.loc[df['mid']==8699223]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[['hsc','asc']]=df[['hsc','asc']].astype(float)\n",
    "df['sc']=df['hsc']-df['asc']\n",
    "df_home=df[['mid', 'time', 'graph', 'p_D', 'p_F', 'p_G', 'p_M', 'h_goal', 'a_goal',\n",
    "       'h_red', 'a_red', 'h_yellow', 'a_yellow', 'h_penalty', 'a_penalty',\n",
    "       'h_subs', 'a_subs', 'h_goal_next', 'graph3','sc']]\n",
    "df_away=df[['mid', 'time', 'graph', 'p_D', 'p_F', 'p_G', 'p_M', 'h_goal', 'a_goal',\n",
    "       'h_red', 'a_red', 'h_yellow', 'a_yellow', 'h_penalty', 'a_penalty',\n",
    "       'h_subs', 'a_subs', 'a_goal_next', 'graph3','sc']]\n",
    "df_away.columns=['mid', 'time', 'graph', 'p_D', 'p_F', 'p_G', 'p_M', 'a_goal', 'h_goal',\n",
    "       'a_red', 'h_red', 'a_yellow', 'h_yellow', 'a_penalty', 'h_penalty',\n",
    "       'a_subs', 'h_subs', 'h_goal_next', 'graph3','sc']\n",
    "df_away['graph']=df_away['graph']*-1\n",
    "df_away['graph3']=df_away['graph3']*-1\n",
    "df_away['sc']=df_away['sc']*-1\n",
    "df=pd.concat([df_home, df_away]).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "cols_info=['mid', 'time']\n",
    "cols_num=['graph', 'graph3', 'sc']\n",
    "cols_bin=['p_D', 'p_F', 'p_G', 'p_M', 'h_goal', 'a_goal',\n",
    "       'h_red', 'a_red', 'h_yellow', 'a_yellow', 'h_penalty', 'a_penalty',\n",
    "       'h_subs', 'a_subs']\n",
    "cols_out=[ 'h_goal_next']\n",
    "scaler = MinMaxScaler(feature_range=(0, 1))\n",
    "scaled = scaler.fit_transform(df[cols_num].values)\n",
    "df=pd.concat([pd.DataFrame(data=scaled, columns=cols_num), df[cols_info+cols_bin+cols_out]], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "(1280132, 1, 19) (1280132,) (548402, 1, 19) (548402,)\n"
     ]
    }
   ],
   "source": [
    "mids=df.mid.unique()\n",
    "np.random.shuffle(mids)\n",
    "#train, test, validate = np.split(rids, [int(.7*len(rids)), int(.85*len(rids))]) \n",
    "train, test = np.split(mids, [int(.7*len(mids))]) \n",
    "# Split dataframe on parts\n",
    "train_df=df[df['mid'].isin(train)]\n",
    "test_df=df[df['mid'].isin(test)]\n",
    "# split into input and outputs\n",
    "train_X=train_df[train_df.columns[:-1]].values\n",
    "train_y=train_df[train_df.columns[-1]].values\n",
    "test_X=test_df[test_df.columns[:-1]].values\n",
    "test_y=test_df[test_df.columns[-1]].values\n",
    "# reshape input to be 3D [samples, timesteps, features]\n",
    "train_X = train_X.reshape((train_X.shape[0], 1, train_X.shape[1]))\n",
    "test_X = test_X.reshape((test_X.shape[0], 1, test_X.shape[1]))\n",
    "print(train_X.shape, train_y.shape, test_X.shape, test_y.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Epoch 1/50\n",
      "17780/17780 - 43s - loss: 0.0155 - val_loss: 0.0153\n",
      "Epoch 2/50\n",
      "17780/17780 - 48s - loss: 0.0148 - val_loss: 0.0152\n",
      "Epoch 3/50\n",
      "17780/17780 - 52s - loss: 0.0148 - val_loss: 0.0153\n",
      "Epoch 4/50\n",
      "17780/17780 - 49s - loss: 0.0148 - val_loss: 0.0144\n",
      "Epoch 5/50\n",
      "17780/17780 - 50s - loss: 0.0148 - val_loss: 0.0143\n",
      "Epoch 6/50\n",
      "17780/17780 - 57s - loss: 0.0147 - val_loss: 0.0144\n",
      "Epoch 7/50\n",
      "17780/17780 - 61s - loss: 0.0147 - val_loss: 0.0143\n",
      "Epoch 8/50\n",
      "17780/17780 - 67s - loss: 0.0147 - val_loss: 0.0145\n",
      "Epoch 9/50\n",
      "17780/17780 - 66s - loss: 0.0147 - val_loss: 0.0147\n",
      "Epoch 10/50\n",
      "17780/17780 - 65s - loss: 0.0148 - val_loss: 0.0144\n",
      "Epoch 11/50\n",
      "17780/17780 - 66s - loss: 0.0147 - val_loss: 0.0151\n",
      "Epoch 12/50\n",
      "17780/17780 - 67s - loss: 0.0147 - val_loss: 0.0147\n",
      "Epoch 13/50\n",
      "17780/17780 - 67s - loss: 0.0147 - val_loss: 0.0147\n",
      "Epoch 14/50\n",
      "17780/17780 - 67s - loss: 0.0147 - val_loss: 0.0145\n",
      "Epoch 15/50\n",
      "17780/17780 - 66s - loss: 0.0148 - val_loss: 0.0150\n",
      "Epoch 16/50\n",
      "17780/17780 - 66s - loss: 0.0147 - val_loss: 0.0152\n",
      "Epoch 17/50\n",
      "17780/17780 - 62s - loss: 0.0147 - val_loss: 0.0146\n",
      "Epoch 18/50\n",
      "17780/17780 - 64s - loss: 0.0147 - val_loss: 0.0144\n",
      "Epoch 19/50\n",
      "17780/17780 - 62s - loss: 0.0147 - val_loss: 0.0143\n",
      "Epoch 20/50\n",
      "17780/17780 - 63s - loss: 0.0147 - val_loss: 0.0153\n",
      "Epoch 21/50\n",
      "17780/17780 - 65s - loss: 0.0147 - val_loss: 0.0151\n",
      "Epoch 22/50\n",
      "17780/17780 - 63s - loss: 0.0147 - val_loss: 0.0145\n",
      "Epoch 23/50\n",
      "17780/17780 - 61s - loss: 0.0147 - val_loss: 0.0146\n",
      "Epoch 24/50\n",
      "17780/17780 - 67s - loss: 0.0147 - val_loss: 0.0145\n",
      "Epoch 25/50\n",
      "17780/17780 - 67s - loss: 0.0147 - val_loss: 0.0152\n",
      "Epoch 26/50\n",
      "17780/17780 - 51s - loss: 0.0147 - val_loss: 0.0145\n",
      "Epoch 27/50\n",
      "17780/17780 - 48s - loss: 0.0147 - val_loss: 0.0152\n",
      "Epoch 28/50\n",
      "17780/17780 - 52s - loss: 0.0148 - val_loss: 0.0145\n",
      "Epoch 29/50\n",
      "17780/17780 - 53s - loss: 0.0147 - val_loss: 0.0144\n",
      "Epoch 30/50\n",
      "17780/17780 - 50s - loss: 0.0147 - val_loss: 0.0144\n",
      "Epoch 31/50\n",
      "17780/17780 - 63s - loss: 0.0147 - val_loss: 0.0158\n",
      "Epoch 32/50\n",
      "17780/17780 - 59s - loss: 0.0147 - val_loss: 0.0145\n",
      "Epoch 33/50\n",
      "17780/17780 - 68s - loss: 0.0147 - val_loss: 0.0160\n",
      "Epoch 34/50\n",
      "17780/17780 - 68s - loss: 0.0148 - val_loss: 0.0145\n",
      "Epoch 35/50\n",
      "17780/17780 - 61s - loss: 0.0147 - val_loss: 0.0144\n",
      "Epoch 36/50\n",
      "17780/17780 - 56s - loss: 0.0147 - val_loss: 0.0145\n",
      "Epoch 37/50\n",
      "17780/17780 - 59s - loss: 0.0147 - val_loss: 0.0155\n",
      "Epoch 38/50\n",
      "17780/17780 - 59s - loss: 0.0147 - val_loss: 0.0147\n",
      "Epoch 39/50\n",
      "17780/17780 - 60s - loss: 0.0147 - val_loss: 0.0150\n",
      "Epoch 40/50\n",
      "17780/17780 - 56s - loss: 0.0147 - val_loss: 0.0159\n",
      "Epoch 41/50\n",
      "17780/17780 - 61s - loss: 0.0147 - val_loss: 0.0153\n",
      "Epoch 42/50\n",
      "17780/17780 - 63s - loss: 0.0147 - val_loss: 0.0149\n",
      "Epoch 43/50\n",
      "17780/17780 - 62s - loss: 0.0147 - val_loss: 0.0146\n",
      "Epoch 44/50\n",
      "17780/17780 - 64s - loss: 0.0147 - val_loss: 0.0152\n",
      "Epoch 45/50\n",
      "17780/17780 - 63s - loss: 0.0147 - val_loss: 0.0145\n",
      "Epoch 46/50\n",
      "17780/17780 - 68s - loss: 0.0147 - val_loss: 0.0149\n",
      "Epoch 47/50\n",
      "17780/17780 - 67s - loss: 0.0147 - val_loss: 0.0150\n",
      "Epoch 48/50\n",
      "17780/17780 - 68s - loss: 0.0147 - val_loss: 0.0147\n",
      "Epoch 49/50\n",
      "17780/17780 - 68s - loss: 0.0147 - val_loss: 0.0162\n",
      "Epoch 50/50\n",
      "17780/17780 - 69s - loss: 0.0147 - val_loss: 0.0150\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
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yiBGKmpY0RaMELY2qKXpOQ7nM1Yj2jxcNKFilWysaFsuJils00nJPRUovEC6irY1ymasR7YNQzfhlBap0a0XDYjlRMUIRafFXeyqWcltVAoFwRzRMyi3ouEa5WBpDfR6WRp11T1ksljySqaVRWQLuqf5OqKgcHyyunVo+ohGfPQVO977uvB/aiobFcqLiFo3hfl1WJBnD/TouUFGhn3KHJ7FomNng7tnfddPLI+VWqYnZU2DdUxaLJc/E3FNO1dpUIuAOvlaWgHvKxDMMtdN1VtXwYFFOKWeMDIEaSRAIt6JhsVjyhSl6Z+oWpXJRuZ9uTSBcpeqAUCQGOsfSbQ2xtNsSd1HFYkse7ilraVgslrwR7dNF78zNJ1Uw3G1pBKtBjeqn3smIl6VRLqVE4rv2GcJ1NuXWYrHkERNMNTeflJZGv7ZMwCU0kzTt1tM9VSalRIxoxKfchpyYRqrYVJZY0bBYTlSGevXN39x8UsUo3LOQzftkjWsMdI1PtwVXKZESd0+Z4pITLA3HzegnfToLrGhYLCcqRgR8u6cGXKJhtpmkotHfOdHSqGkFpPRFI5l7CvIeDLeiYbGcqET7tZVhmvmkFQivGtvHZCM6oHtnxItGoFKnF5e8aJhAeLx7qjDl0a1oWCwnKsY9ZW4+aQXCJ7GlEV9CxE05tH11N8NyU6BKt75EQ0SuEJEtIrJNRG7xWC8icpuz/hURWe5at1pEDonIhrhtviQie0VkvfO60lk+T0T6XcvvcG1ztoi86hznNpFy6NtosRQJIwLpBMInxDQmYSA8vsKtG9P2tZRx1wBzM1ncUyISAL4PrAKWANeJyJK4YauARc7rRuB217q7gSsS7P47SqllzsvdTna7a/lNruW3O/s3x0q0X4vFkopor+OeKrNAeMzSaJi4rixEwxHqUJxoFKhPuB9L41xgm1Jqh1JqCLgPuDpuzNXAPUrzHNAgIm0ASqkngaPZnqizv3ql1LNOT/J7gHdlu1+L5YQlZmn4DIQPewXCJ6OlkcQ9VTdNz9PIc1pqXkllaeR5gp8f0ZgJ7HF9bneWpTvGi5sdd9ZqEXF3e58vIi+JyBMi8ibXMdozOIbFYvFiqM81T0OSu6fi6x0Z8RgeyPtppo1XhVtD7TQYjUL/sYKeUk5JlHI7iSwNr7hBfO0AP2PiuR1YCCwD9gPfcpbvB+Yopc4C/gb4iYjUp3MMEblRRNaKyNrDhw+nOA2L5QTEiECoRhf1C0aSWw1GHAphaSgFO5/OvESJEYREgXAobRdVtB8QXTzSzSSyNNqB2a7Ps4B9GYwZh1LqoFJqRCk1CtyFdoOhlBpUSnU4P68DtgOLnWPM8nMMpdSdSqkVSqkVra2tKS7PYjkBGR4A1PgYxVAS95S7LDqM3bDyEdPY/zLcfSXseDyz7Y2lEa6fuC4mGiU8K9xYfPF5QMFqkIpJYWm8ACwSkfkiEgKuBR6KG/MQcIOTRbUS6FJK7U+2UxPzcHg3sMFZ3uoE3xGRBeiA9w5nfz0istLJmroBeNDH+WfEdXc+x9/9/NV87d5iKS5Dcbn+oRT9MeLTPPMZCO91vAM9SW8hiRno0qIWrJq4rhzqT8X3BzeIFKQRU2WqAUqpYRG5GXgYCACrlVIbReQmZ/0dwBrgSmAb0Ad82GwvIvcCFwMtItIOfFEp9QPgGyKyDO1i2gl8zNnkzcA/isgwMALcpJQygfSPo7OxqoHfOK+80B8dYc/RSRjks1hywQQRqEkeCI8a95TjlgoEoSKYH/eUsRT6Msyf8apwayiH+lNeDZgMBeipkVI0AJx02DVxy+5w/ayATybY9roEyz+YYPkDwAMJ1q0Flvo552xpqQ3TfsyKhqVMiU/bDEWSB8K9JpTlq3ufEY3+TEXDo1ihIVynBbLULY34dFtDAbr32RnhCWitC3Hk+CQt+2yxZEssAycy9p7MavCqd5SvPuHmptfXkdn2yUQDnLTbUrc0PNxTUJBGTFY0EtBSG+Zo7yAjo5O0yYzFkg3xuf7BSIpAuEfjn3yJxoARjSwsDa90W0PttNK2NIb6iuqesqKRgJbaMKMKjvVZa8NShsTcU34D4UZkXMFl070v1wxmKRpeFW7d1E4r8ZhGgkA4OO4pKxpFoaU2DMCR4yXeT9hi8cIzEJ5snobHLOR8Wxr5iGlA6VsayQLhofx377OikYCW2hAAR3qspWEpQ4bi3E2hVO4pr5hGngLh2cQ0lHJEoyHxmLppMNg1Oetm+SHam8I9ZUWjKDQ7lkZHr7U0LGVIfIzCdyA83tLIR8qtyz2V7qzwoeOgRlJbGlC6s8L9BMIznU3vAysaCWh1RONwjxUNSxkyIeW2BkaGYGQ4+fj47Kl81J4ylsZoNP2gbrJihQbT9rVU+2qY5llehOu0aObRirKikYD66kpCgQqbdmspT+LdU6n6Y8SXETHb5svSEOfWlK6LypdoOBP8StHSUMppnpUkEA55zaCyopEAEaG5NmQD4ZbyJNoHgTBUBPTnVAUIY+Ndt4zKqjzFNLqg3ikzl24GVbIKt4ZYKZESFI3hQcbVDIunAJVurWgkoaU2bEXDUp7Ezyo27o5EwfDowMQbVT4C4UrpG17TPP05XdHo79TvySyNSLO2ZEox7dZrvowba2kUlxZraVjKlWjcBDE/lkb8jcoEwnMZdB06DmoUGufpz+mm3fpxT1UEoGZqaVoaiRowGcLW0igeSjE9YlNuLWVK/KxiY3Ukqj/llbETrNY3+JEcfkdM5lTjfP2ecUyjIfm42lIVjRSWRij/fcKtaHgxOgo/eBvXdNxOR+8gKo/paxZLUYifVZyq5aunaETG1uUKkznVMAeQDGIanfrdq5eGm7rpJS4aiQLhjqVh3VMFpqICpp7C6UfWUDvSRXd/gjREN5t/Cf+yLHmlUEvx2fhz2P77Yp9F8TFd+wypBMCrdEU+emoYS6OqAaobM3NPheogkKKAd+3U0ky5Nb/rZFVuwbqnisLKT1A5OsD7A7/ncKq4xugIPPZlOPZGaVfPPBH4w/+Dx75U7LMoPhPcUzVjy70Y9gqEp0jTzQRjaVRNgUhTZu6pZPEMQ+103expdCT9cywm8dWJ47HZU0Vk6qkcm/FmPlT5CB1dKerTv/Yr6NiqfzY+VcvkZKAbDrxq/07x7qaU7qkEgXCzr1wRi0nU6yynTFJuk6XbGmqn6UlwmZZfLxZe5VzchKx7qqgcP+smpkon4dd+kXiQUvDkN3UXM7A3o8nOYLcO3u7+U7HPpLhEe8e7pzIKhOcxphGuh+qmzFJu/VgajXP1+7Gd6e2/2KTKnqqoyHtPDSsaSYic8me8NjqbOVt+mDitcNvv4MArcO5H9WcrGpOXkeiYK2XX08U9l2KTtqXRP342OOTHPRWLadRr91QmMQ0/otGySL8feT29/RebVNlT4IhG/rr3+RINEblCRLaIyDYRucVjvYjIbc76V0RkuWvdahE5JCIb4rb5kojsFZH1zutKZ/llIrJORF513t/q2uZx5zzMNlMzv/TUNNaEWT16JU3HX4c3nvAe9NS39OxVKxqTH7ef90QXjaE+XQ7dEAiBBIofCB/s1ucRjGQR02hIPa5hrr7mkhWNBO4pyHsjppSiISIB4PvAKmAJcJ2ILIkbtgpY5LxuBG53rbsbuCLB7r+jlFrmvEwP8iPAO5VSpwMfAv4rbpvrXdvktSh+RYXwx6pL6Klsgme/P3HArmdg9zNw4f+Bmla9zIrG5MX8bepmwL6XkpcCL2eUcspru248ItpdldA9lWBGOIz12sgFA93ayhDR7qnhgfQyEgc6/VkaFQFoPgmObM34VIuCb0ujuO6pc4FtSqkdSqkh4D7g6rgxVwP3KM1zQIOItAEopZ4EfNuYSqmXlFL7nI8bgSoRCfvdPtdMqavld7VXwdZH4PCW8Suf+jZEWuCsD+o/lFRY0ZjMGJN98eUwOgx7ni/u+aQiOgCv/jT3Za5HhnRcJz5tMxjxdk8p5R0Ir3S6+OXa0jBzLCLN+t2vi2p0RG/vRzRAu6hKztLo1/eZyiS3xHBd0QPhM4E9rs/tzrJ0x3hxs+POWi0ijR7r3wu8pJRy57z+0HFN3Soi4rVTEblRRNaKyNrDhw/7OI3EtNSGeCBwuf6CuK2N/S/Dtkfh/E/oL5+I/me1ojF5Mf7yRZdpF8hkd1G99it44CNwaHNu9xtL24wrrx2KeD/VJyqSl6r0SCYYSwO0ewr8u6jc6bp+aFkMR9+A4RKq+mBSpb1vfZpwfrv3+RENr7OLf/TxMyae24GFwDJgP/CtcTsUOQ34J+BjrsXXO26rNzmvD3rtWCl1p1JqhVJqRWtra4rTSE5LbZg3+qrgzGvh5fug94he8dS39BPROX85NtiKRnbsfg42PZS//ZubSv0MaDtTuxcnM72Hx7/nikRpm4lKnSdyieQr5Tbs3PSNpeE3g8pPhVs3LYt12u2xN9I6xaKSrD+4IVRbdNFoB2a7Ps8C9mUwZhxKqYNKqRGl1ChwF9oNBoCIzAJ+DtyglNru2mav894D/MS9Tb4wRQvVeR+HkUF44Qdw+HV9czv3o+OfaqxoZMfv/hEe/rv87d98kcL1MO9CaF+rXUCF4olvwJP/7H+8uVlm2is7EbEGTHGWRkLRMCJTFTc+T4FwY2lUp2lp+Klw66YUM6iSde0zTAL31AvAIhGZLyIh4Fog/nHwIeAGJ4tqJdCllNqfbKcm5uHwbmCDs7wB+DXweaXU067xlSLS4vwcBN5htsknLbVhBqKj9E45CRa9DV64C574unZXrfzE+MFWNDJndAT2rdflqvNV62vA5b6Ye6F+CNi7Nj/H8mLzQ7D5V/7Hm5tlunMVUhFzT8XdfBK5pxLNDQgE9fykXLunwnHuqf5jPrf1UeHWTXMpikbfRLdiPOEiWxpKqWHgZuBhYDNwv1Jqo4jcJCI3OcPWADuAbWirIXY3FZF7gWeBk0WkXUQ+4qz6hpNW+wpwCfDXzvKbgZOAW+NSa8PAw8749cBe51h5pcVp+3qkZxDO/6R2FWx4AM7+X1DTMn6wFY3MObxFB2FHo7m/SRoGnb9NuB7mrASksC6qvqPpXZuxMHL9+0gkAsEabwEYTuDOMvvIpbU22OWyNJwwp19Lw2+FW0O4VmfSZZtBdeg1OLgpu334xZd7qk4nO+QpVpOiqpfGSYddE7fsDtfPCvhkgm2vS7A8UTziq8BXE5zK2X7ON5e01DmicXyQefPfAtNOh8OvwQU3TxxsRSNz9q4b+/n4Aahpzv0xBrq1hVgZ0q9pS2HnH+Etn839sbzoOzrWxtTXeOdmmXP3VIL6RaGIdxpystIVwarcWRqmAZOxNAJBHd/wHdPo1O9+LQ3ITQbVms/oiaMfeTi7/fgh2p883RbGV7qtbMr5KdgZ4SloqQ0BWjQQgXffDtfcA1NmTRxc1WBFI1PcotGT1LOZOe50TtBxjT3PFyZ7ZqhPP7FHe/3HAPoct0y+LA3PlNs0AuHgNGLKUUzDNGCqcv2N0pkVnq57CnQw/MjW7FyiXXvy9z8bT3zHRS/yXOnWikYKWh331OHjzo1l+ulwypXeg6um6H/8ER+l1C3j2bturFtbvkpWD3SPfaEA5l6gb+T71+fneG7cNz6/IpAvS2MogQgkat9qllVWTVyXSGgywcScwnGikY57SirGivb5oWWxfpjItLeGUjoOZ7Iq882Qz+wpsKJRLJpqHEujx0fbV/OEk8e6L2VJtB8OboST364/59PScD/Fzr1QvxdivoZbKPzcBJXKY0wjgWgY91T8U3ehLI3YPAu3aKRR6dYUK6xI47aWbQbVQJeetR7tLUwvnXTdU3nAikYKKgMVNEaC/nqFG9Hwm+1h0Rx4VefLz71Au/h68tSTZCDOPVXTAq2nwM4CiEZ/mqIR7dM3o/htc0Es5dbD0lAjE9u3mkB3wkB4jkQjZmm43EvpVLr1W6zQTcti/Z6paLj/V/sKYG34DYRD3kqJWNHwQUttmI7jPvze5h/WxjXSw8QzZp7ttOHMk2jEWxqghWr3c/l3KbqFwo9omBtlZXUeUm4TWRqmEVNcMDyVpZGr2lOelkaaMY10RaN+hs4ayzSDym0V53oSphde5VziicU08uPxsKLhg5bacHqWhhWN9Ni7Tqc+1rdp0cirpRF3U5l7IQz1wMFX83NMQ7ruKXOjbF6o/59y2WEu2qfnVwSC45cnKguSLHuqsiqHloYrJdoQadJulmEf3z+/FW7diGSXQeWOheQ7rpGoBlg81j1VfFrqrGjklb3rYKZTTb92ev4C4Z6WhhPXyLeLyu2y9GVpOGOaFwJqbLZzLkiUgZOoqVLSlNscBsK9LI3YrHAf1obfCrfxmAyqTCikpTGcxE3oJhYIt6JRNHQpEeueygt9R+HojjHRMO6pXM8KHx3RT17hONGob4OmBfmf5NfX4XSja0zPPWVmLecyrpHoaTXWvc/DPRUI6XLi8eQyEO6ZPZVGpdtM3FOgRaNrT2al8nsO6N8N5N/SiKVKp5oR7rinrKVRPFpqwxwfHGYgmsJFYEUjffa9pN9nOvM269p0IDbXyQQm/TDe0gAnrvEMjI7m9phu+o5qwYg0pycaJrsnl3GNoQSikcg9NezRS8O9TS6zpyQw/qaYTqXbjEXD+R13bEt/254DuqFTMJJ/SyNR+Zd4AkHtNrQxjeIRm6uRKu22HHpq7H4OdjxeuOPtfVG/zzhLv9dN0++5Trsd9HiKNcy9SIvUoTyWgug/qgXDr2iYJ+umheM/54KEloYJhMfHNJL40YPVen0uLEMzj8Zd9ttvpdvhIX0efivcuollUGXgouo5oK3jSEvhLI1UMQ3IayMmKxo+aKlzzQpPRjn01Pj9V+E3nyvc8fau019a84RY59SxzLVoDHj4yw3zzHyNPLqo+jr0U3OkxZ/V0Nehfye1Tmn/XFoaKWMa8e6pJJVVg9V6FvdINPvz8oo5+a10m27dKTdNC/TDXibB8J79WjRqWvJvafhp9WrIY8tXKxo+aK4x9ad8xjVKWTT6OnRjmny6agxKadGYsXxsWa2xNHIcDE9maTTMgSmzYdcfc3tMN31H9Q3Q7wxnM97cNHNpaSSaVZyo1Hm0X6f+ehHbJgfBcK/stojP68+khIghWKVdTOmKhlI6e6puum73XDDR8GFp5LERkxUNH7iLFqak1EWj94guGd6TtB1Kbuhqh95DY/EM0F9AyJ+l4SUaAHPOhz0v5PaYbvqPjbmneo+kduf0deix4TqoqMyxpdHvXV472TyNZJaG2We2eFkalWHtakl1/dlYGpBZBtVAp4731Dqi4bfcSaakIxqhOuueKibNTimRjnIXDaXG/vGP7sj/8fY58Qy3aASr9e8w01pAifBK53TTOE9nbeVjkt/wkD5+pEkLwWg09VNg/1E9XkRbGzmNafSmcE/FxzRSBMK9tsmE+Bn7Bj+zwgecxIlMLA3QwfCObelZ2GY+kds9la9eMJA89TmecK2ef5QHrGj4oCoYoK6qsvzdUwNduowEFEY09q7Tk8ymLx2/vK4tD5aGx8Sxccecrn3zvYdye1wYywQz2VOQ+qm07+jY2EgapTT8kChGkWkg3OwzWwYTZD/5mRWejXsKtKUxPKBTb/0SE402LRojQ/mtO+c35RYc95S1NIpKa22Yw+VuabhvZEcL0Dd574u6anBlePzy2mn5i2kksjTyFYCHsRuecU9BahEwMQ1wLI0cpiAPJej+VhGAQDjNQHiCCYGZMODhngJ/caBciAak56IaZ2k4CQv5zKDym3ILee0TbkXDJy21YZ+VbhtKWDRcN7J8WxqjI3qOxszlE9fVteW+lMhAt7ZqvMp7g57kB/kpYWJueMY95V7mRdSpmmqCwDm3NHqTxyi8AuGpLI1s60/FN2By46fSrZkxn0nKLWRWuNA8YNROG+vimc9geFruqfz1Cbei4ZOWupD/QHi0NzcpiIXGVOmsac2/pXHkdf1P7Y5nGPIxK3ywRz/FuucAjDumIxrdeUgAMDc8kz0FyUUjZpkYS6MxdzGNkSiMDidu5BOqSeCeSiC2lTlyTw31ateol6XhK6bRpWdmJ3ooSEVNsz5OOqJx/KAWuXBtYSyNtALhtXp8LmuWOfgSDRG5QkS2iMg2EbnFY72IyG3O+ldEZLlr3WoROSQiG+K2+ZKI7HX1Ab/Ste7zzr62iMjlruVnO33FtznHS3AHyD26aGE6pURKsKeGuZHNOkdbGvkM6rkr28ZTNz33s8Lju/bFU9Oqc/XzYWm43VPmiTSZaMQsk7iYRi7+HjEXRwK/eDCSwD2VKqaRZSA8Wcwp0qTjHckexMxs8GxuCelmUPXsH0sRjxTC0ujTM+ZN2ZJktC6GRW+bWOY+B6QUDREJAN8HVgFLgOtEZEncsFXAIud1I3C7a93dwBUJdv8dpdQy57XGOd4S4FrgNGe7f3POAWe/N7qOlWi/Oae5JkxXf5Sh4RTZFTHR6Mz7OeWcmGis0DeO43kIChv2vqjTAk1tJTf5SLtN5C83VAScWEqe3VPheieFNplouCwT8z4ymJsMpVQujlBkvKWhlHY95TvlNlnMKVZ/KslDRCYVbuNJt9qtmQ0OLvdUPi0NR7z9COPS98L1/+PPlZUmfiyNc4FtSqkdSqkh4D7g6rgxVwP3KM1zQIOItAEopZ4E0rGtrwbuU0oNKqXeALYB5zr7q1dKPauUUsA9wLvS2G9WmFnhHb0pXFSlXH+qr0M/xUw/Q38+lkcX1d51MPMs7y5rtUY0cngDT2VpQH6ytkCLQGW1/gKLOD76JDcXL0vD7CdbYg2YElkaNePFaWRIZ5XlO+XWqwGTobpRvye7/kwr3LppWayz5/xauD0HxtyalWF97vm2NPIgAuniRzRmAu48tHZnWbpjvLjZcWetFpHGFPua6fyc8hgicqOIrBWRtYcP5+aP2OLUn0rZjKnURSPSossqQP6C4dEBOLjB2zUFLksjh6Ix0J36ppIv0TAT+wypArsTYho5nBWeqhRFKK7UeSo/ekEtjSTX33c0N6IBcMRH4ULTG9zUSgNtbeSze1+0P3EsqoD4EQ0vWyjeuepnTDy3AwuBZcB+4Fsp9uX7GEqpO5VSK5RSK1pbW1Ochj+MaKRMuy1l0eh1ZiFPma19p/kSjQOv6mCsu3yIGyMauezgN9g9VjI6EXXT82RpdECkcexzqqKF8e6pXFoaibr2GYLV491TRgwSBZhjojGQ3XmlimlA4t/ZSBQOvwZTT83uHNLpF95/TLsMjaUB2ZcSGR2Bp29L/LA01OsvCJ5n/IhGOzDb9XkWEJ9i4mfMOJRSB5VSI0qpUeAutBss2b7anZ99HyOXmEq3KdNuS1k0TFG9yhA0zM6faCQLgsPYrPBcWxqp3FP1bfpmkO0NMB73nAtIPe+g76iO91Q6AU+/Rfv8YILcCUWjZnwgPFVl1UBQpzJn657yY2kkEs1Dm/TEPK/07XRomKvds35Ew1QsMA844MwKz8LS2PhzePRWePG/vNcnmy9TQPyIxgvAIhGZLyIhdJD6obgxDwE3OFlUK4EupVTSRzYT83B4N2Cyqx4CrhWRsIjMRwe8n3f21yMiK52sqRuAB32cf04Yq3Rb7u4p5wvatCB/orHvRR23qJ+ReExtDp/6R0e96xrFk68JfqYsuiGVpWFKiMTGG/dUDrLJYrOKE6XcRrwtjWQ3q1w0YkpWGyyVaKZ6CPFLoFKXoveTQRWboxEvGhlaGkrBH7+rfzbldeJJlsVWQFKKhlJqGLgZeBjYDNyvlNooIjeJyE3OsDXADnTQ+i7gE2Z7EbkXeBY4WUTaReQjzqpvOOmzrwCXAH/tHG8jcD+wCfgt8EmlTG0LPg78h3Oc7cBvMr7yNImEKomEAqnnapRyT40JopGnQLiZ1JcsC6Quh21fh44DykcgPA+xFBiz4AyRZi0AiXLo48f7CQT7JeaeSpZy6yUaSW5WpqdGNng1YDKEIto9liimsXed/p02zM3uHMB/BpV7NrjBFC3MpEL0tsd0n/pIM7Sv9U6vjk4O91Sln0FOOuyauGV3uH5WwCcTbHtdguUfTHK8rwFf81i+Flg6cYvCoOdqlGlPjZGozkAxqYON8/Xnvrin3mwZHYVjO2Fximzpurbc9bdIVUIkdkzH8smlpTE6omcrj3NPteiMpIEu799tX5xlEghqwStIILxmrKmSiL8eDrmyNOIbMLlJljyw9yUdH8vFtK2WxbBljf4+BIKJxyUSDTWqHwhqmr23S8RT34b6WbDy4/DIF6B7L0yZNX5MCbmnLA66V3iZ1p8yrg+3pQG5tzZ6D+k0zoY5ycfVTcvdrPBUZdFjx8zH/JAuQE10T0Fid0tfx3iRAae3eC5Tbn1mQ8UsjSQzreOtk0xI5T5MNCt88Dgc3py9a8rQslgnaaT6v+85oP+f3JZRpqVEdj+n2w1f8Cldoh/GXG5uSsU9ZRmjuTbMkZ4yrXTrnoAG+Uu77XSyqafMTj4ul73Ck/UHd1PdqAv25VI04n+v7p8TBU3jU3TNNrmwNIZ8BMJhTAT8lK4IVutAdDZ4NWByk+j697+sn+5zJhpOBtXh15KPO35gvJUBmc8Kf+rb+u+9/AZd8bkiONYG2c1QgpL2BcaKRhr4ck9BiYuGc7NqnAdI7kWja7d+b0ghGrEOfjmIL8S69qXI4xfRGVS5jGnEp89CckvD3XvDjZ/6S36I9icvRWFuSkZcjBgkdU9FcjNPI5moJ8o4iwXBs8ycMrSeomOSBzckH9fjIRqx+lNpiMaBDbD1YTjvJid2E9bCkdDSsO6pkqK1NsTRviFGRlO4TMpBNIJVUD8z97PC07E0IDdP/bGy2SksDXPcXIpG/EQ9SC4aMTdhnGjkytIwvTES+f/jZ3j7sTQqq3IzIzyZ+zBRTGPvOh0AN66hbAlFdGmbA68mH9ezf3zmFGRWtPDp7+rkmXM/OrZs5tmwb/34RInRUaeci7U0SoqWujBKwdFeH2m3pSYa5h894vryNc3Pg6WxR/9+Ugal82Fp+BGN6bmtdOvpnkoiGmbZhJhGE/TlIuW2L7mLIxTvnipQyu1gV+qYhlfG2d4Xc+eaMrSdAftfSbxeKZ3ZN8E91QSI/1nhR9+ADQ/Aig+PZciBvp6hnvGpvzGLz4pGSWFmhad0UZViT40+jyfifIhG5x6YkiIIDmNPcbmYFW4C4elYGrmq8OvlngpFdC0qT0vDVRHXTazSa5btaIeSdOGDMXEYihONylTuqXxbGk2AGv+9On5IuztzLRrTz4Du9sTuQK/Z4KCLXkaa/bunnrlNF69cGZd4aioluOdrpFMWPc9Y0UgD/6JRgj01+jqcWciuLnpNC/QXIJdl3rv2pI5ngL6x5mpWuJkD4OcLV9em/3a56nrWf1QHNuNLmCRyt3hZJuCqP5WltZGsdSt4B8IrgnriW8JtsrQ0TAOmpDEND+vMBItzLhqn6/f9L3uvj6XbTpu4zu8Ev56D8NKPYdn7xxqAGVoW6e+iO67hJ/W5QFjRSIOWWjMr3G8pkRLqqRE/oQzGMqhyFddQyrE0fIgGOLPCc2RpJJsD4CbXs8LN7zX+2DUJZoX3JbE0IPu4Rkr3VFwgPDqQWmyDkexKr5gGTMksjdiscNf173tRB63bzsj82F60nanfDyRwURnrN97SAKf+lA/31HPfh9EoXPB/Jq6rCMCMZXGikUbXvjxjRSMNWupM/Sm/pUQ683tCuaSvY2IwMddzNQY6ta/Wj6UBzqzwHFkaflxT5piQQ9E4OjE+AYnLoyeMaeRoVvhQivLaXoHwVDcqMyM8U5een8mXXqK5dx1MXZK4zHumRJr0RLtEcQ2viX0GP5ZGfye8sBqWvAuaF3qPmXm2zqwadh5QjYjn+lozwIpGGtSFKwkFKtKwNEoortF3ZOLTbeM8/Z6ruIbfzCmDafuaLanmALgx9bBylUHlNecCEtef6j+mXUTxk+lyaWkkKiECrkC4a3JfStGo0pZCpu5YP5Mv4yvdKuX0ZMlRqm08bWckzqDyqjtl8GNpbH1EPzyd71lEQzPzbG2JHHBSf62lUZqICC21IR/l0Rv0e0mJxtGJN7dwHdRMzZ1odDmika6lkW1QOh1Lw8wPyVUGVXxZdEOymIZXaREv90wmpHJPxQLhvWPj/binzNhMiFkaySb3xVW6PfaGFthcxzMM08+Ajq0T+6WDjkeEp3j/HmtatUU9nMQbcXCjjhMZN5gXRgyNi8pPDbACYUUjTVrqfPQKL0lLo8P7iTiXhQtjloaP7CnQT3K5mBXup2ufIVyrx+bK0kjmnhrsnnhzSVTrK2eWRgrLwWRJuVNuk5UQgewbMfmxNEK1+kZrLI18BcENbWfomeYHN05c17Pf2zUFqUvEABzarMuVJKttVT9TP8DERMNmT5UsLbVhOsrNPTXUp/8pvW5WuSyR3rVH35T8TsTKVdXZVP3BJxw3Rx38lJpY5tyQSAS86k6B66aZbUyjN7l7qqJC35hiloaPCWVZWxo+Jl+KjJ/guHed/l9qzbLxUiJMBtUBjwyq+I59bvzMCj+0CaYtSX58ES2IE0TDuqdKjpOm1rJpfzf//cLuxINKTTRiaZ4eN/OmBdCzL/vJWwCdu3XlTr/VSHMVlE7H0jDHzVUAfnQ4cUwDJj6RxvfeMMTfNDPFV2DbNe9i2E9Mw1mfaf0pvwUl3S69vet0hlGyVOBsmDJbu5m9guHHD3hnTsGYaCSa4DfQrR+e/HQZnLlcu8gGuqylUcr89aWLedOiVj73wKus/mMCt02oRs8LKDnR8HJPzdfvx3Zmfxy/czQMsbavWfTVUKp4lobXxD5DItFIFNMw+8nG0hgZ1u6+VBk4oUiagfDI2NhM8BPTgLHrH4nqORSJ2gXnAhEnGB4nGrHe4AncU6lKiZhCiFNTWBrgmuT3kg2ElzLVoQB33XA2V5w2nX/81Sb+9XdbUfGB2lLrqeFHNHLhokpnjgaMZadkcwOP9qWeAxCPsTQyaabjxqvulMFYdW7RGBl2emwk6MUQacouvuPXxRGsSS8QbvqHZ+qeGuhK3IDJjbG0Dm3OTXvXVEw/Aw5uGj8Lv/+YFl6vzClIXR790Cb97sfSmHGWft+7biwgb1NuS5NwZYDvvf8s3nPWTL716Ot8/bevTRSOkhKNBBPKIHcl0of6tMmejqURiugslWw6+KVTQsRQP0OnO2brCkr2ezXL3E+kRhC8LBNwKr1mcU5+M3Dcnfii/WOikHB8lpaG38mXptJtrtq7pqLtTF0uxN3JL9kcDdDf+4pgYtE4uEmLsp9kkEiTbj+790VnZn5l8uB5gfAlGiJyhYhsEZFtInKLx3oRkduc9a+IyHLXutUickhEPGsNi8hnRESJSIvz+XoRWe96jYrIMmfd4855mHVTM7rqHFAZqOCb7zuTD6ycw78/sYNbH9zAqLv6bUmJRhJLo7pRv7IVja52/e43c8pQl2Wv8HSKFbqPCdmn3SZ1T3mk0CazTMx+shGyqM8JYqGa8bWn/IgMZJdy60fUTUxj71r9uzDziPLFdGemudtFZf4XE8U0RJJP8Du0SVsZFT6f12ee7YjG5KhwCz7avYpIAPg+cBnQDrwgIg8ppTa5hq0CFjmv84DbnXeAu4HvAfd47Hu2s99YVFkp9WPgx87604EHlVLrXZtd77R9LToVFcJXrl5KTbiSf39iBwe6Blg8rY4Rpbi2t5JA935WP6RT9lpqQ7RNqaZtShVtDfq9Khgo8hU49B3R5RiqG7zX5yLt1m8fjXjqpmUXlPYbZB13TFNK5EB2JSqSiUAgqK0ot3vKq2ikG2NpmFas6eLXLx6MjHVN9BXTyEHKrZ/Jl9VN2tW4/XF9M81Fe9dktCzSGVr7X4Ezr9XLktWdMtS0QG+ClNtDm+HkVf7PYebZ8Or9cHR76YgGcC6wTSm1A0BE7gOuBtyicTVwj9Mr/DkRaRCRNqXUfqXUkyIyL8G+vwN8FngwwfrrgHt9nGPREBFuueIU6quC/MvvtvL4lsNUVAjLAwEWcIyfvdiOAnoGJlYnbYwEmdMUYV5LDfOd17zmGua11DClOn9maN/QMA9vPMDwiGJeSw2ndR2iuroRqUggYo3zof2FrI451LGLEPDEoSpe37WD5toQKxc0M6MhxQ2prg12P5v5gf2kc3odE7IPhvd1aDFOFOCNNDHSe4QDnf30Dg7TcHAvU4EuqaNycJhwZQUVIhwfGqarL0plNELbaJRH12/j2EgVAgQDFVQGhMqKCoIBIRio4JS2OqbWebiUjPWQLOUWtFtwqE8HnNVIStGIBqoIAi/vPMD+yv0saK1lbnOEcGXyh6K+oWGO9g7R2nsMqayls2eAgAgVIoQqK6gJx92ejJh2t8NZH0h+DbmgIqBTY92WhqlQkCimAc6scA9L4/hh/YDmJwhuMHGbXc/mrmdIlvgRjZnAHtfndsasiGRjZgIJv3UichWwVyn1siR+YvgLtCC5+aGIjAAPAF9VE4IJICI3AjcCzJmTpjskA0SET15yEp+85KSxhQ/+Grbt4ZX/ezkAA9ER9ncNsL+rn/2dAxzoHmBvZz+7O/pYu/MYD728b9zE55pQgPrqIPVVQeqrK533IHVVlURCldSEAtSEK6kJ6/eG6hBLZ9bTEEnQkQ3YdqiHHz23mwdebB8nYt8PbuaUijA3/8tTzGuOMKOhmqaaEA2RIE2REKdLGzO79rC/o4tAMEyFCIEK0V/wChh1eowc7hl0XgMcPj7Ioe5Bdh/tY1dHHx/oe4KbAhX87wfaGXH9W8xtjrByfjPnL2xm5YJmpk+Ju9nVThubFR73f9LZN8SLu3UcIFwZIFRZQbiygnBlgHBlBVPrw0RSWBojo4rdR/vYvL+bXR19dBwfpOt4L/8M/Oix5/jew7PoHogSDOh9u49RFaygbUo1s5qqmdMUYXZjhNlNEWY2VDM0MspIx0EioSn8/MV9HOwaYH/3AId7Buk4PkhH7xC3Ha+k68jr3LDu9wBcE3iObwRh1Z2b2MehCef6vsBh/jkIX77/j7SrxJ7ZCoELT2rhqjNncPnS6dRXOQ8gxj0VrGZkVLFpXzd/eqODPUf7mD6lmpmN1cxsqOJUwlRH+xHH3TRSWc2x44N09g1xrC9Kx/Ehth8+zpYDPWw50MOhI4d4KQgPvbCNHzz3YuwcZjdFWNhay8LWGmrClRzsHtDfgU79Peh2/gfXhPazVzXz0a/9btx1TK0Lc0pbPadOr+OUtjpWDFZj7NRd1aew6dX9+v/raB97jvYxPKJoqgnRWBOkMRKiMRKiqSZE25Qqls6cMlGE/DD9DNj4s7H/v54D+iEg2az6SAt0bJ+4/JAzUdBPEDx2/NN1LGOoBxryfy/zg5/fotcdPf5G7WfM2GCRCPAF4G1JxpwH9Cml3LGQ65VSe0WkDi0aH8TD7aWUuhO4E2DFihU5aoyQJnExjapgIGZNeDEQHWH30T7eONLLziO9HO4ZpHsgSld/lO7+YQ50D/D6oR66+4fpHxphaMQ7s2dBaw1nz2lk+dxGls9pZF5LhMc2HeJHz+3i2R0dBAPClae3cf15c5laF2ZnRy8n/3aUoWgrbVOq2HKghydfP0zv0Fizm/dURPl2aJTrv/k/vKES+HLjCFTokiuzGyNceFILlx4eYqh3Oj/7yzczpynC/q4Bnt3RwbPbO/jNhv3891r9zDG3OcLZcxtZMbeJFfMaOal2OhXOrHBV3chrB3r4/WuH+MNrh3hx9zFSNVH8y8if+HvgS4/soX56JXOaIvQODvPagW427e/h9QM99EfHrrUqWEFLbZhOmcKsQBdvWtBCfXWQ4ZFRBodHGRrW74PDo/RHh9m0v5tHNx30/Ht8L/g6p0oVn/2pflJtqgnRWhumpS7EsqYGqve3MmOkg396y+nUhCuZt/kF2AyfuPIc+ggzGB0lOqqoC1cypTrIwmOd8Az857ULCc1eAUB0ZJThUaXfRxQD0RH+uO0ID67fx9/+9BW+8IsN/NkpU7l62QwWdR5mIfCl377BA/uP0zOob9q14UqOD449RHy5soOrAp3c8J1H+SVw66+385OHHptwfTMbqjl5eh2XnnwKPA8fu6CNdy+7iO2Hj7P90HG2H+ll+6HjPL3tCIPDozEX7ZzmCOctaGL6lCqaa0LM+f0w1Y0z+MoZS1FKMTKq6I+OsO3QcV7b38MPt3cwNDLKWbKLnzuV+9/9iwGOogWqwbHYQ4EKNh/oprMvyrG+oXEPYRUCi6fVceasBs6c3cCZs6dw8rQ6KgMpYgttZ8C6H+o5Ro1zvTv2xZOo/tShzfp92mnJt3cTrNbj9788KdJtwZ9otANuR/QsID5C6GeMm4XAfMBYGbOAF0XkXKWUcWBfS5xrSim113nvEZGfoF1nE0RjUlDVMNZTw0fGQ1UwwOJpdSyeVpdyLMDQ8Ch9Q8P0Do3QNzjM4Z5BXtrTyUu7j/HY5oP8zzodeK4QbQnMaqzms1eczDUrZsf6ggDMa6mB3/XBtAWsvvac2PKB6Ejsyze8sxIevoMvXlhFe8tSRpVidFQxoogF/5trQ7TWhfWrNkxjJERFhetZYnUnROZz5uwGABprQiyZUc9HLprPyKhi8/5unt3ewfM7j/L4lsP87MW9AFxTdYhvAN/62RM8sKeefV16AtnSmfXcfMlJXHhSC1XBgHMjH4nd1I1lN2/L03AAnm6Psn3T1pjINESCnDq9nmvPnc2pbfWcOr2eBc4TMQB3zOHi+hEufl+S+kAOI6OKg90D7Dnax55j/bQf66M6GOC8VxVVMoMnr72EqfXhiTGsn8+DN3bzF+c4T5AHRqCyig+86VRvf/3uhfAMLKwZgqbET7rnLWjmby5bzPo9nTy4fh+/emUfv9lwgHdWrOdfQ7CrW/HOZTM4b34TKxc0M62+iuODw+zr7GfvsX5a//QodTuHOH9OBLbBm0+bw8nzTqMhEow9vc9tjlBX5fq/XlvJ1PAoU2dOYenM8e64kVHF8OhoYnfV73qpndnG/JVzPVdHR0Z540gvu7c2wmPQXTWDr7znYuY2a8vOy5U7Mqro7o9ytG+I3R19rN/TycvtnTyy6UDsAaU2XMnbT2/jfStmcfbcRjw9HtNdZdIb507o2KeUYvvhXkCxsLVW76OmRX/3h+LqfB3aBJFmRqtb6OgZpKU25H3MeGaerUUjmXVTQPyIxgvAIhGZD+xF38zfHzfmIeBmJ95xHtCllEromlJKvQrE7GsR2QmsUEodcT5XAO8D3uwaUwk0KKWOiEgQeAcw8fFnsuDuqVGTIO8+C0KVFYQqQzQ4/0eLptVxwUna56mUYmdHH+t2HWPLgW7OX9jMWxZPJVCR4B+09wjMOmfcoqpggOlTAtpdVLccHoaLW3vhPO8vdko698C8izxXBSqEpc7N5qNvXoBSijeO9LJ21zE6Nh6FN2DL1m0sXXgJn750ERefPJVp9SnSQA2qBg4Ij37uSoZGYV9nP1XBANPqw8m/sGlM8AtUCDMaqpnRUD3eb7upD6bMoq45wZc9vqeGqVOV6LxiRQtTz9UQEc6a08hZcxr5+7efynM7jjLltTdgHfzwxosnJCTUhivHHloOtMEbQ/zdn82GbXDFsvmwZF7yAwYjCQPhgQohkChe5qMBUzBQoc+t/lR4DOoXnsfbz0hu8QYqhMaaEI01IRa21nLJKVOdwyn2HO1nfXsnT71+mF++so//XruHBS01/PmKWbx3+azx/1vTlug5JPtfgVPfCT0H6G07l1+/sIentx/hme0dHO7RZYVa68JcuLCZ60MBzgEdvwjNYXhklE37u5m27SWOjc7iL776GF39UZprQiyf28jZzuv0mVNiDxZKKboHhtnf1Y+qOIlTgT098MRzu6isECoDOoZVWVFBdGSUrv7ohFd3f5R7P7py/MNbDkgpGkqpYRG5GXgYCACrlVIbReQmZ/0dwBrgSmAb0Ad82GwvIvcCFwMtItIOfFEp9YMUh30z0G6C7w5h4GFHMAJowbjL11UWA3dPjTyIRjJEJKkrbBxKJS5WaKhp0bWP4tNuB3vglfthz5/gyn9OHPAdiepSJD4zp0SEBa21LGithQUXwm1w57tnwrIVvrYff45OCZGKCkIVjmXlh7rpsG99+sdz0380efZVpFmX6Rjq1WmuiUqIxMZnVrSwMlDBRYta4KjzRO5nRjiMlcLwk7XjntuRDn4aMBnCU2DWubAkPszpHxFhTnOEOc0RrjpzBl+66jTWvLqf/1nXzjd+u4VvPryFC09qobUuDApGleJzwdkcWfcUt+9by3e79vFfHYN8ff0rtNSGuWBhMxcsbEYEnt7WwVNbj9Dd3805Ifj4vz9Md/PprN/dSd9QlFfDW3k6+FYuP20ai6fVsXl/Dy/uPsajm/Q8pGBAOHl6HQPRUfZ39sdcxIslwCNhePngEH//C8+ZCzEioQBTqoNMqdYx0IHhESKh3JZa8bU3pdQatDC4l93h+lkBnsXhlVLX+dj/vLjPjwMr45b1AnmezZNDJkP9KaVg489h8RWJTduBLv2lTXazEhnfL/zQZnjhB/DyfTpAB7DobXD6n3tv371PVwxNZza4IdtZ4emWEDHUzdAZMD7di54kKwkC40uJhGoSl1E3mJL7mU7wGxoLhCfFiIQ5jh9ferA6s9pTfhowGSoq4C8fTf8YSagJV/K+FbN534rZ7DzSy0/XtfPbjQd440gvIiAIG0bmsiy6gX0H9hFimLNOO4VH3vpmFk2tHWet/sU5cxgdVex6JQS/+CaLawd4tDfKe5bP4i1T+6l9ZID3XPE23rNivMuz4/ggL+3uZN3uY2zY20UkFOCik1qY0VBF25RqZtSfx+hP/pFLzziJ5y/7M4ZHlH6N6nhWoEK0SFQFCVXmf752nqp9WSaFaOx8Cn76YXjHd2DF//Yek2xin5umBbDrGfjh22HXHyEQgtPeAys+DD9+nz5WItFIt4+Gm2xnhadbrNBQNx1QcPwQTJmZ/vZDffommmh2N4wXjYY5+iY9fWni8YFK/X+V6QS/aD8g/md4m2CuL9GIZGZpZDKPJk/Ma6nhM5efzGcuP3n8imc2wCNP8Iv3TIF74LwzToMEsceKCmH+XO3C/esLGvnrs96kV2z5rX73SLdtrg1z6ZJpXLokydyP6+6lasosqrxSqQuMFY18MRlEY8MD+t2rJ4DBPE2mygFvPQU2PahvDpd+Gc764Jjbbc75sPOPibdNt49GPHXTsrA0ujK0NFxzNTIRjVSzu2Fi0cJEZdHdZFO00NSRShV8jXdPVfoQjcqqzCb3+S1WWEzMzPBtjpXjJ3sKxs/ViNWcOiWzc1jwlsy2ywNWNPJFsUVjJKpv8jCW6ueFuTEku7kBXPApOOlSnckRH9ScdxFsfThx9U9jaUyZ5e/c46mbnnml28HusW586R4TMhcrPxacuxvd6IiOf6Wy+LIpj56qa5/BTP4z1+Db0shANCaRpZEQ01vj9Uf0e6K6U4ZQjf59uNNuD23Sfccnszj6xBYszBfuQHgx2PG4LoDXMEdbGolapvp1T4XrYPa5EwUDxrKiElkbnbt129hUHeASUZtF/amBDN1T2fYKT1Z3yuC2NAa6dNwnlXhnY2kM+ahYC2PC0luAQHgmM/YLTaRJW8lHtujPqUQDnFIibtHYnLrxUolgRSNfFLunxoYHtHCd+zEtXIluun5FIxnTz4BQXWLRSLePRjx103VMI5Ne4en0B3cTadF/v0yLFvpxT1U16DIjfR3JK+KOO68sLQ1fApBhILxcLQ0Yy4KrmuLv9xFxFS0ciepKuenMBJ/EWNHIF8XsqREdgM2/0nnlM5bpZcanGk9fhw5qh2ozP16gEuaeD7ue9l6fbh+NeBrm6BLV3XvT2840YMrkhlRRkV0HPz8iUFHhWA4dY+LtK6aRYU8N3+6p+JTbPLqn0smeKibGRZWoum087vpTR3foHhzp1JyaxFjRyCfFEo1tj+pU2KXvHftHPZhANHo7nKfqLCcAzbtIP03FZzmNjuqy6NlYGmbi4e7n0ttueED3xcj0hpRNB7+YeypJCi1oUek94s8yMeuHemB4KP1zysQ95beHQzaWhlRk99BSCEww3I9rCrRomAcBk4hiLQ1LSoolGhse0EIw7836JlM7PbmlkY1ryjDXiWvsinNR9R7WVkKmmVOgn/JCdTrlNx0GnTkkmbo+UvXy6O9Msu6oPm6qG67pERFzE6ayNBwRyqSDX7ruqf6j/stxZyoagz4bMBUb455KlTllMD01lNLxDKmAlpNTb1cCWNHIJ8UQjcHjOif8tHdptxHoAFxS0Uhxo/JD25n6aXFnnIsqmzkahoqADsKna2nEuvZlmLGSzNLY/Sf4xoKx/Pt4/P5eTTe6dGIakFlcI9rnz9VkZoyrUf9F8kwgPN24k99eGsWmfia0LYNZPqsS1LRql9Rgt/7uNS3MPBFkkmFFI58UQzRe/60uTbH0vWPLpi6Bw1t0Wmc8ubI0ApXe8zU6neZL2cQ0QO/70Kb0nrBNZk6mlkZ9m/77DcVlBSkFj/y9nkn/0n95b2vqSKUi0jwW06gIpnbTxOpPZSIa/f56TAdCOgkA0hMNNaKDvumQaaJCoRGBjz0B537U3/hYr/Aj2tIoE9cUWNHIL8UQjQ0/0yUwZruqsExdov37Xi1bcyUaAPMu1GmJx129IHJhaYAOtKP0E75fMukP7sYEPY/HBcM3/xLan9fNqbY+4i1k/Ud9Whou0Yg0++uTbfafLkO9/txNImPi4ts9ZfqEp5l2m2miwmTHiEbnbv29K5MgOFjRyC+FFo3+Th0EX/qe8T2ITX54vItqJOoUVMxRR7B5TskEdxZV5x7tfsh2UtPMs/WTeDpd/DLpD+4m1ivc5aIaicJjX9Iz5N/7H9oFYSZRuvErxpFm/YR+bKc/kcnW0kjHcoDUJUfix6dbf2owwxn7kx0zK3zX04CylobFJ1UN+skrk0yXTHjt1/omtvQ945e3ngLIxAwq84ScK0sjFtdwuaiynaNhCFbDjLPSE43YHAB/PUomUGcm+LlEY93dul/zpV/WQtZ8Erz604nb9h3z754COLLVp8hkaGmMjmq3pR/3FIxZDnm3NLrK1NJwROONJ/V7Oo2XJjlWNPKJebo2T7z5ZsMD0DgPZiwfvzxYrQsOHoqrQeU3Y8cvgSDMWTleNLKdo+Fm7vmw90X/WTrZzgGIlRJx3FODPfDEP8HcC2Hx5dqNc/o1+nq7XHNIhod0Wqyf36ux8o4fSJ2eC/rmHAinb2mYm7lfSyPmnvI53lgk6WZQZVqFeLITcf6ue9fpv1fj/OKeTw6xopFPCll/qveILh2y9L3efvFpSyZaGrmYDR7P3Avh8Gtw3JnYlCtLA2DOBXrexd4X/Y3PdrZx1RRdrM9YGs/8q06jvOwrY7/j0/8cULDBZW34nXMRP8bP30Eks1nh5maeruXg251lLI00RMM0YCpHS6MypN2yo8PQungsk7EMsKKRTwpZf2rTg9o3ftp7vNdPPU0H5Nxf6nyIhjuu0d+pn/ZzZWnMPle/7/Y5X2OwW7vLEnWNS4XI2FyNngNaNE57N8xytXVpXggzV8Ar/zO2zE/dKYP7d+/X4stkVnjU9NLwKRqhdN1Tjrik454yDZjKoIifJ8aKLKMgOFjRyC+FtDQ2/ExPHkrkO522BFDaCjCYgmqRHAXCQZctCdY4LpscZU4ZIk36C7jLZ1wjF5k59TO0YDz+dR0veuutE8ec/j44+OpYNeG0LI1m75+TbpOFpeG3z3TM0vAbCM/A0iiVEiKZYuIaVjQsvimUaHTv00/2iVxT4F1OpC+Nm5tfAkGYc54+n2z7aHgx53zY87z3nJN4cjEHoG46HNgAL94DKz6iLYt4lr5Hz2t41bE20rHgQrV6XgT4s0xAxz7SjWmYuSbBfAXCjaWRhmiUSrHCTDmRLQ0RuUJEtojINhG5xWO9iMhtzvpXRGS5a91qETkkIp7NbUXkMyKiRKTF+TxPRPpFZL3zusM19mwRedU5zm0ik7z2QKFE47VfA0q7ThLRtEAHK91pt30dujxHZTi35zPvIn2c/ev151xZGgBzL9BB5oPJeyUDmXftc1PXptNCgxF4y2e9x9ROhQUXa9FQKj33lMiYuKRjaRhh8kvMPeU3EJ5uTCMD0SiFBkzZELM0yifdFnyIhogEgO8Dq4AlwHUiEi+dq4BFzutG4HbXuruBKxLsezZwGbA7btV2pdQy53WTa/ntzv7NsTz3O2kolGhsfVRnZ7QuTjymIgCtJ08UjVxaGQYT13j5Pi1U5suTC+Y4kxb9uKhykZljJvhd9Onk81nOuEZP5Nrzp/TcU+ASjTRiGv3H0ivZkbZ7Ks3sqUxSbsvd0ph9rk4Tz7T52CTFj6VxLrBNKbVDKTUE3AdcHTfmauAepXkOaBCRNgCl1JNAIlv6O8BngZT//c7+6pVSzyqlFHAP8C4f5188CtFTIzqg+3Mvuiz12KlxGVR9R3I3sc/NjLP0TaRzl/7C5NIgnDJLu7v8BMNzYWksvgKW3wArP5l83Clv15lWr9yvLY3Kav83XCMWvkWmSQeQ0/m/Gsp3IDyDlNtSaMCUDcveDzc+PvmLMaaJH9GYCexxfW53lqU7ZhwichWwVyn1ssfq+SLykog8ISJvch2j3c8xRORGEVkrImsPHz7sNaQwFKKnxu5n9NPdST5F4/iBMfdJLkuIuAkEYfZ5+udcZU65mXu+Ll6Y6kk7F5ZGy0lw1b+mfkIP18HJq2Djz3Vr2nR+ryYRwXdMI4MJfmmn3FaPf085PoNAeLlbGmWKH9Hwksn4b6ufMWODRSLAF4B/8Fi9H5ijlDoL+BvgJyJSn84xlFJ3KqVWKKVWtLbm0DWSCfkWja2P6clDpuVqMuLLifQdzY9owNj55DKeYZizUt+YvWppucmFpZEOZ1yjb+SvPwwRHxP1DJFmbZH69e0biySdtFvjNvI9I9wZV+lTNAJB3XvDr3tqdEQnF9S05tZ9ack7fkSjHXB/82cB8T0w/YxxsxCYD7wsIjud8S+KyHSl1KBSqgNAKbUO2A4sdo7hdg6mOsbkIN+ise1RXSjQj686PoMqX5YGjIlGLjOnDHMu0O/JSooMD+k6SIUUjYV/pjObBrv9Ww0AZ/8vePu3/LsxMrI00p0RnmYgHLS14bf21PN3wb4X4Yqv64lwlpLBj2i8ACwSkfkiEgKuBR6KG/MQcIOTRbUS6FJKJexeo5R6VSk1VSk1Tyk1Dy0Iy5VSB0Sk1Qm+IyIL0AHvHc7+ekRkpZM1dQPgUSlukpFP0Ti2S3fL8+OaAh3UrWrQlsZQn76R5CMQDrou04r/rVvO5prWk/WNM1kwvBhzACpDsORd+ud0xHj6UljxYf/jTRxq2+/8B8NNyq1fyyEWCPfpzoKxnhqp6GqH338FTrp0fAl/S0mQUjSUUsPAzcDDwGbgfqXURhG5SURMZtMaYAewDbgL+ITZXkTuBZ4FThaRdhH5SIpDvhl4RUReBn4K3KSUMo9UHwf+wznOduA3/i6ziORTNLY9pt9PutTfeBE9+e/QJtdcgjwEwkG7K97xHZh6Su73LaJdVMksDfM7L7S//Ixr9Hu+xBh0+vQZ18Kfbof7b9CNt1IR7dWCUeHnOZHMLI1QjZ7gmKynhlLw68/oBk/pWFeWSYOvgihKqTVoYXAvu8P1swI800uUUtf52P88188PAA8kGLcWWOrnnCcN+RaNhjnQssj/NlOXwCv/rTOnIH/uqXwz53zYskb3JK+bNnF9sWYbz14JS67Wrqp8IQLvvkNbKI/+A/xgG1z7Yy0miYj2+0+3BV0Zecoc78mMiTj/k/Dr/ws//TD8+Q+9W91ufghe/42u39U4z/++LZMGOyM83+RLNIYHYccT2jWVztPa1FP1DXX/K/pzqYrG3BRxjWJl5lRUwDX3wClX5vc4InDBp+ADD+jaWHdeMmZ5ejHksz+4oXkh/PWruoyKX875Sx2j2PxLLRzxFsdAF6z5rO75vvIT3vuwTHqsaOSbfPXU2P2cdjn4dU0ZTG2qnU/p91IVjelnaHdLor7hgz36vVznABgWvhU++gfdw/rH74M/flc/UPQc0K6iXc/oigFHXk9PNDJl5ccTC8djX4beQ/DO28qq6uuJhv3L5Rt3T41Kn/GD//mwrkf0nn9PPGbbo3rM/Dendz6mpMEbJS4alSGYtSLxJL9su/aVEk3z4S8fhQc/CY99Ub+8WFygAgorP67ff3vLmKtq74uw9gfawpi5PPn2lkmNFY184y4l4mf29d51sPFn+ufT/zzxTO+tj2m/frg2/fOpnwXd7SAVUN2Q3vaTibkXwJP/7D2JL9YfvEzrGsUTqtE350WX679tdZNO/3W/0nE1ZUu8cBzZpid6XvKFwp2DJS9Y0cg36fbU+ON39DaRFvjN57QlEV9QsKsdDm/WZQoyYdoS58bSmHmvicnA3AtB/ZMuFHhOXFJezNLIsNVrKSICy1LmnRQOt3AAvP/+9B9yLJMOG9PIN0Y0/JSyPvw6bP4VnPNRuPIbuhf1c/82cZwJePqpN+WFmeRXqq4pw7w3aVF99Iu6WKCbAacyrVcGj6VwrPw4vOt23Ydk8eXFPhtLDrCikW9aT9ZtH5/+l9QTsZ7+rq4Ku/LjOsB9yjvgiX8e338adFXb+lk6LTITykU0Kirgqu8BCh761Pjfb6FLiFgSs+z98ObPFPssLDnCika+iTTBZV/S2Uov35t4XOcePX9i+Q1jsY/Lv6armT7q6hY3POSk2v5Z5hOjppWJaAA0zoW3fUX3R1/3w7HlA90nlmvKYikQVjQKwfL/pau+PvwF6E3QPOfZ7+n3Cz41tqxxHlz4V7DhAd0+FXS/hqGezF1TAC2LdYG8chANgLM/rJsgPXKrLq0CuenaZ7FYJmBFoxBUVMA7vqtvZI/8/cT1vUdg3X/C6ddMrAp70V/pWd9r/hZGhnU8o6IS5r8l8/OpDMM7/2Vi8LhUEdHlyxF46GYYHc1Nf3CLxTIBKxqFYtoSuOD/wMs/gTeeHL/uT3fo6qAX/dXE7YLVcPn/p+tFvfAfWjTmnJ/9U/TyD0LbmdntYzLRMAcu/6r+3a79gbU0LJY8YUWjkLzls9rl9Mu/0h33QD8RP3+n7vzWerL3dqe8Xc/8/f1XdW/sk/JY16iUWf4h/Xt69IvQvd9aGhZLHrCiUUiC1bry69Ht8NS39LJ1P9TpoW/6m8TbicCqb4z1KvBbCv1Ew7ipKgI67nOiTOyzWAqIFY1Cs/CtOnbxx+/A/pfh2e/r+MTMs5Nv17JIWyozzx6rH2WZyJRZOusMrGhYLHlAlN8mLiXKihUr1Nq1a4t9GuM5fhi+twJQ2sq44UGd/WPJDUppC+6kS3Wsw2KxpI2IrFNKrYhfbi2NYlDbqucWDHTBjOXZZUJZJiKiuwZawbBYco6tPVUszvogHD8Ei95mu5dZLJaSwYpGsRCxpRUsFkvJ4cs9JSJXiMgWEdkmIrd4rBcRuc1Z/4qILHetWy0ih0RkQ4J9f0ZElIi0OJ8vE5F1IvKq8/5W19jHnfNY77ympn/JFovFYsmUlKIhIgHg+8AqYAlwnYgsiRu2CljkvG4Ebnetuxvw7P4iIrOBywB3idIjwDuVUqcDHwL+K26z65VSy5zXoVTnb7FYLJbc4cfSOBfYppTaoZQaAu4Dro4bczVwj9I8BzSISBuAUupJIFFd8O8AnwViKVxKqZeUUvucjxuBKhEJe21ssVgslsLiRzRmAntcn9udZemOGYeIXAXsVUq9nGTYe4GXlFKDrmU/dFxTt4p4R5BF5EYRWSsiaw8fPpzsNCwWi8WSBn5Ew+vGHD+5w8+YscEiEeALwD8kGXMa8E/Ax1yLr3fcVm9yXh/02lYpdadSaoVSakVra2uiQ1gsFoslTfyIRjvgLr06C9iXwRg3C4H5wMsistMZ/6KITAcQkVnAz4EblFLbzUZKqb3Oew/wE7TrzGKxWCwFwo9ovAAsEpH5IhICrgUeihvzEHCDk0W1EuhSSu1PtEOl1KtKqalKqXlKqXlo0VmulDogIg3Ar4HPK6WeNtuISKUrwyoIvAPwzMiyWCwWS35IKRpKqWHgZuBhYDNwv1Jqo4jcJCI3OcPWADuAbcBdwCfM9iJyL/AscLKItItIqiYONwMnAbfGpdaGgYdF5BVgPbDXOZbFYrFYCkTZ154SkcPArgw3b0GnAJ9o2Os+sbDXfWLh97rnKqUmBIXLXjSyQUTWehXsKnfsdZ9Y2Os+scj2um3BQovFYrH4xoqGxWKxWHxjRSM5dxb7BIqEve4TC3vdJxZZXbeNaVgsFovFN9bSsFgsFotvrGhYLBaLxTdWNDxI1T+knPDqdyIiTSLyqIhsdd4bi3mO+UBEZovIH0Rks4hsFJFPO8vL+tpFpEpEnheRl53r/rKzvKyvG3SbBxF5SUR+5Xwu+2sGEJGdTn+i9SKy1lmW8bVb0YjDZ/+QcuJuJvY7uQX4nVJqEfA753O5MQz8X6XUqcBK4JPO37ncr30QeKtS6kxgGXCFU/qn3K8b4NPoqhaGE+GaDZc4PYjM/IyMr92KxkT89A8pGxL0O7ka+E/n5/8E3lXIcyoESqn9SqkXnZ970DeTmZT5tTs9b447H4POS1Hm1+0UQX078B+uxWV9zSnI+NqtaEwk7d4gZcg0U3DSeS/rtroiMg84C/gTJ8C1O26a9cAh4FGl1Ilw3d9FN3wbdS0r92s2KOARp332jc6yjK+9Mg8nWOqk1RvEUtqISC3wAPBXSqnuBH29ygql1AiwzKko/XMRWVrkU8orIvIO4JBSap2IXFzk0ykGFyql9jmFXx8Vkdey2Zm1NCaSbm+QcuSgadfrvJdlL3anxP4DwI+VUj9zFp8Q1w6glOoEHkfHtMr5ui8ErnJ699wHvFVEfkR5X3MM0z5bKXUI3afoXLK4disaE/HTP6TceQj4kPPzh4AHi3guecFpFfwDYLNS6tuuVWV97SLS6lgYiEg1cCnwGmV83UqpzyulZjm9e64Ffq+U+gBlfM0GEakRkTrzM/A2dB+ijK/dzgj3QESuRPtAA8BqpdTXintG+cPpd3IxulzyQeCLwC+A+4E5wG7gfUqp+GB5SSMiFwFPAa8y5uf+O3Rco2yvXUTOQAc+A+iHxvuVUv8oIs2U8XUbHPfUZ5RS7zgRrllEFqCtC9DhiJ8opb6WzbVb0bBYLBaLb6x7ymKxWCy+saJhsVgsFt9Y0bBYLBaLb6xoWCwWi8U3VjQsFovF4hsrGhaLxWLxjRUNi8Visfjm/wcBQfteB4SVqAAAAABJRU5ErkJggg==\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "# design network\n",
    "model = keras.Sequential()\n",
    "model.add(layers.LSTM(32, input_shape=(train_X.shape[1], train_X.shape[2]), dropout=.5))\n",
    "model.add(layers.Dense(1))\n",
    "model.compile(loss='mae', optimizer='adam')\n",
    "# fit network\n",
    "history = model.fit(train_X, train_y, epochs=50, batch_size=72, validation_data=(test_X, test_y), verbose=2, shuffle=False)\n",
    "# plot history\n",
    "pyplot.plot(history.history['loss'], label='train')\n",
    "pyplot.plot(history.history['val_loss'], label='test')\n",
    "pyplot.legend()\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# make a prediction\n",
    "yhat = model.predict(test_X)\n",
    "test_X = test_X.reshape((test_X.shape[0], test_X.shape[2]))\n",
    "# invert scaling for forecast\n",
    "inv_yhat = np.concatenate((yhat, test_X[:, 1:]), axis=1)\n",
    "inv_yhat = scaler.inverse_transform(inv_yhat)\n",
    "inv_yhat = inv_yhat[:,0]\n",
    "# invert scaling for actual\n",
    "test_y = test_y.reshape((len(test_y), 1))\n",
    "inv_y = np.concatenate((test_y, test_X[:, 1:]), axis=1)\n",
    "inv_y = scaler.inverse_transform(inv_y)\n",
    "inv_y = inv_y[:,0]\n",
    "# calculate RMSE\n",
    "rmse = sqrt(mean_squared_error(inv_y, inv_yhat))\n",
    "print('Test RMSE: %.3f' % rmse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.loc[df['mid']==8699223]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}