Data Discovery.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Discovery"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import datetime as dt\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Understanding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set month\n",
    "month = 'Oktober'\n",
    "\n",
    "# Set index\n",
    "imonth = '10'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://opentransportdata.swiss/de/dataset/istdaten"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Clean data contains every \"stop\" for a month for all swiss railways\n",
    "data_all = pd.read_pickle('data/istdaten/{}/data_total_2019{}.pkl'.format(month, imonth))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "BETRIEBSTAG            4743322\n",
       "FAHRT_BEZEICHNER       4743322\n",
       "BETREIBER_ABK          4743322\n",
       "PRODUKT_ID             4743322\n",
       "LINIEN_ID              4743322\n",
       "LINIEN_TEXT            4743313\n",
       "VERKEHRSMITTEL_TEXT    4743313\n",
       "ZUSATZFAHRT_TF         4743322\n",
       "FAELLT_AUS_TF          4743322\n",
       "BPUIC                  4743322\n",
       "HALTESTELLEN_NAME      4743322\n",
       "ANKUNFTSZEIT           4309819\n",
       "AN_PROGNOSE            3692030\n",
       "AN_PROGNOSE_STATUS     4743322\n",
       "ABFAHRTSZEIT           4309554\n",
       "AB_PROGNOSE            3694303\n",
       "AB_PROGNOSE_STATUS     4743322\n",
       "DURCHFAHRT_TF          4743322\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Look at data integrity and size\n",
    "data_all.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Zug    4743322\n",
       "Name: PRODUKT_ID, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Produkt_ID seems to be containing information about the type of public transport\n",
    "data_all['PRODUKT_ID'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "\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>BETRIEBSTAG</th>\n",
       "      <th>FAHRT_BEZEICHNER</th>\n",
       "      <th>BETREIBER_ABK</th>\n",
       "      <th>PRODUKT_ID</th>\n",
       "      <th>LINIEN_ID</th>\n",
       "      <th>LINIEN_TEXT</th>\n",
       "      <th>VERKEHRSMITTEL_TEXT</th>\n",
       "      <th>ZUSATZFAHRT_TF</th>\n",
       "      <th>FAELLT_AUS_TF</th>\n",
       "      <th>BPUIC</th>\n",
       "      <th>HALTESTELLEN_NAME</th>\n",
       "      <th>ANKUNFTSZEIT</th>\n",
       "      <th>AN_PROGNOSE</th>\n",
       "      <th>AN_PROGNOSE_STATUS</th>\n",
       "      <th>ABFAHRTSZEIT</th>\n",
       "      <th>AB_PROGNOSE</th>\n",
       "      <th>AB_PROGNOSE_STATUS</th>\n",
       "      <th>DURCHFAHRT_TF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>01.10.2019</td>\n",
       "      <td>80:06____:17004:000</td>\n",
       "      <td>DB</td>\n",
       "      <td>Zug</td>\n",
       "      <td>17004</td>\n",
       "      <td>RE</td>\n",
       "      <td>RE</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PROGNOSE</td>\n",
       "      <td>01.10.2019 05:42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>UNBEKANNT</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>01.10.2019</td>\n",
       "      <td>80:06____:17012:000</td>\n",
       "      <td>DB</td>\n",
       "      <td>Zug</td>\n",
       "      <td>17012</td>\n",
       "      <td>RE</td>\n",
       "      <td>RE</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PROGNOSE</td>\n",
       "      <td>01.10.2019 06:34</td>\n",
       "      <td>NaN</td>\n",
       "      <td>UNBEKANNT</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>01.10.2019</td>\n",
       "      <td>80:06____:17013:000</td>\n",
       "      <td>DB</td>\n",
       "      <td>Zug</td>\n",
       "      <td>17013</td>\n",
       "      <td>RE</td>\n",
       "      <td>RE</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>01.10.2019 06:25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>UNBEKANNT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PROGNOSE</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>01.10.2019</td>\n",
       "      <td>80:06____:17014:000</td>\n",
       "      <td>DB</td>\n",
       "      <td>Zug</td>\n",
       "      <td>17014</td>\n",
       "      <td>RE</td>\n",
       "      <td>RE</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PROGNOSE</td>\n",
       "      <td>01.10.2019 09:48</td>\n",
       "      <td>NaN</td>\n",
       "      <td>UNBEKANNT</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>01.10.2019</td>\n",
       "      <td>80:06____:17015:000</td>\n",
       "      <td>DB</td>\n",
       "      <td>Zug</td>\n",
       "      <td>17015</td>\n",
       "      <td>RE</td>\n",
       "      <td>RE</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>8500090</td>\n",
       "      <td>Basel Bad Bf</td>\n",
       "      <td>01.10.2019 08:06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>UNBEKANNT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PROGNOSE</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  BETRIEBSTAG     FAHRT_BEZEICHNER BETREIBER_ABK PRODUKT_ID LINIEN_ID  \\\n",
       "0  01.10.2019  80:06____:17004:000            DB        Zug     17004   \n",
       "1  01.10.2019  80:06____:17012:000            DB        Zug     17012   \n",
       "2  01.10.2019  80:06____:17013:000            DB        Zug     17013   \n",
       "3  01.10.2019  80:06____:17014:000            DB        Zug     17014   \n",
       "4  01.10.2019  80:06____:17015:000            DB        Zug     17015   \n",
       "\n",
       "  LINIEN_TEXT VERKEHRSMITTEL_TEXT  ZUSATZFAHRT_TF  FAELLT_AUS_TF    BPUIC  \\\n",
       "0          RE                  RE           False          False  8500090   \n",
       "1          RE                  RE           False          False  8500090   \n",
       "2          RE                  RE           False          False  8500090   \n",
       "3          RE                  RE           False          False  8500090   \n",
       "4          RE                  RE           False          False  8500090   \n",
       "\n",
       "  HALTESTELLEN_NAME      ANKUNFTSZEIT AN_PROGNOSE AN_PROGNOSE_STATUS  \\\n",
       "0      Basel Bad Bf               NaN         NaN           PROGNOSE   \n",
       "1      Basel Bad Bf               NaN         NaN           PROGNOSE   \n",
       "2      Basel Bad Bf  01.10.2019 06:25         NaN          UNBEKANNT   \n",
       "3      Basel Bad Bf               NaN         NaN           PROGNOSE   \n",
       "4      Basel Bad Bf  01.10.2019 08:06         NaN          UNBEKANNT   \n",
       "\n",
       "       ABFAHRTSZEIT AB_PROGNOSE AB_PROGNOSE_STATUS  DURCHFAHRT_TF  \n",
       "0  01.10.2019 05:42         NaN          UNBEKANNT          False  \n",
       "1  01.10.2019 06:34         NaN          UNBEKANNT          False  \n",
       "2               NaN         NaN           PROGNOSE          False  \n",
       "3  01.10.2019 09:48         NaN          UNBEKANNT          False  \n",
       "4               NaN         NaN           PROGNOSE          False  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_all.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(21980,)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_all['LINIEN_ID'].unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_value_counts_pie_chart(df_col, title_upperpart):\n",
    "    \"\"\"\n",
    "    function takes a column of a dataframe as input and makes a pie chart out of it,\n",
    "    based on the value_counts function. title_upperpart is also provided to give the \n",
    "    plto a title\n",
    "    \"\"\"\n",
    "    plt.figure()\n",
    "    df_size = len(df_col)\n",
    "    print(df_size)\n",
    "    y=df_col.value_counts().values\n",
    "    for item in y:\n",
    "        print(item/df_size)\n",
    "    df_col.value_counts().plot(\n",
    "        kind='pie',\n",
    "        explode=explode,\n",
    "        y=df_col.value_counts().values,\n",
    "        legend=False,\n",
    "        autopct='%1.1f%%',\n",
    "        startangle=0,\n",
    "        shadow=False,\n",
    "        label='',\n",
    "        title=title_upperpart + ', \\n total: ' + str(df_size) +\n",
    "        ' stops (Oktober 2019)',\n",
    "        figsize=(10, 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4743322\n",
      "1.0\n"
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    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "explode = list(\n",
    "    np.true_divide(\n",
    "        np.logspace(-1.2, 1.2, data_all['PRODUKT_ID'].value_counts().shape[0]), 4))\n",
    "plot_value_counts_pie_chart(data_all['PRODUKT_ID'],\n",
    "                            '\"Stops\" distribution per transport type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Keep only trains data (Zug is train in german)\n",
    "data_train = data_all[data_all['PRODUKT_ID'] == 'Zug']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['DB', 'DB Regio', 'NeTS-DB', 'SBB', 'NeTS-ÖBB', 'TN', 'BRB', 'JB',\n",
       "       'MG', 'MVR-mtgn', 'KWO-mib', 'PB', 'RB', 'BOB-spb', 'WAB', 'AB-ab',\n",
       "       'TPC-al', 'TPC-aomc', 'TPC-asd', 'MBC', 'AVA-bd', 'BLM', 'BLS-bls',\n",
       "       'BOB', 'SBB GmbH', 'ASM-bti', 'TPC-bvb', 'MVR-cev', 'CJ',\n",
       "       'TRN-cmn', 'FB', 'FLP', 'MGB-fo', 'FART', 'FW', 'TPF', 'ASM-rvo',\n",
       "       'TMR-mc', 'MOB', 'THURBO', 'NStCM', 'TRAVYS-oc', 'TRAVYS-pbr',\n",
       "       'RhB', 'RA', 'SZU', 'ASM-snb', 'SOB-sob', 'ZB', 'RBS', 'MGB-bvz',\n",
       "       'BLT-wb', 'AVA-wsb', 'TRAVYS-ysc', 'SNCF', 'DFB', 'BC-cmBC',\n",
       "       'VDBB', 'DVZO', 'LEB', 'TR'], dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.unique(data_train['BETREIBER_ABK'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4743322\n",
      "0.4051137578262661\n",
      "0.09803783087043216\n",
      "0.08689943461565544\n",
      "0.03245742119130854\n",
      "0.031731769422358426\n",
      "0.02820786781922037\n",
      "0.025859513648873088\n",
      "0.02530125511192367\n",
      "0.018516137002716662\n",
      "0.016646982852945677\n",
      "0.015959700817275317\n",
      "0.014103828498255021\n",
      "0.013597432348046369\n",
      "0.0126563197691407\n",
      "0.011625818361055817\n",
      "0.01144240260307017\n",
      "0.010820897253022248\n",
      "0.009218855477237262\n",
      "0.00876811652255529\n",
      "0.008512388574927024\n",
      "0.008178656224477276\n",
      "0.007890250756748119\n",
      "0.007520467722832226\n",
      "0.007408942509068539\n",
      "0.00667232795918135\n",
      "0.0064794251792309274\n",
      "0.0064574996173567805\n",
      "0.006100787591481245\n",
      "0.004926083449531784\n",
      "0.0045879238221651405\n",
      "0.00452235795925303\n",
      "0.0041700732102943885\n",
      "0.003881246097144575\n",
      "0.0037121662834612534\n",
      "0.003662622946534096\n",
      "0.003650606052045381\n",
      "0.0030995154872471235\n",
      "0.0030320522199420575\n",
      "0.0029080884662689988\n",
      "0.002669226335467\n",
      "0.002416449905783331\n",
      "0.0020622677524317345\n",
      "0.0018286761893879437\n",
      "0.0010486321611731188\n",
      "0.0007606483388646185\n",
      "0.0007178513286679673\n",
      "0.00061518066873807\n",
      "0.0005300082937654243\n",
      "0.0005116667179668595\n",
      "0.000496698305533548\n",
      "0.0004783567297349832\n",
      "0.00044947401842000185\n",
      "0.00040857441261630563\n",
      "0.00023801883996068577\n",
      "0.00023548896743674582\n",
      "8.137756618673579e-05\n",
      "7.46312394562292e-05\n",
      "2.5298725239399728e-05\n",
      "7.589617571819918e-06\n",
      "4.848922337551614e-06\n",
      "2.1082271032833108e-07\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "explode = list(\n",
    "    np.true_divide(\n",
    "        np.logspace(-1.2, 1.2, data_train['BETREIBER_ABK'].value_counts().shape[0]), 4))\n",
    "plot_value_counts_pie_chart(data_train['BETREIBER_ABK'],\n",
    "                            'Train \"Stops\" per operator type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Keep only trains operated by SBB\n",
    "data_train_SBB = data_train[data_train['BETREIBER_ABK'] == 'RBS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "153956\n",
      "0.742829120008314\n",
      "0.2571708799916859\n"
     ]
    },
    {
     "data": {
      "image/png": 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4z6m11l/UWi/IpBC5UZKNS0cuS/K+WusXa62XJ3lRkruUUg7YQsyTknw0ybvKZHPRV5RS9tjKKW3yWnfOyKav9Q83u22PTIqMxTzP+dm0FDgvk2mhTXSv1XW72zd6SpLP1lr/YyuPvcVzqbVu6LJv61w2bop6ZJLjummjC7qpoBsuuH3z+25RV2R8MMnna60vX3DTxUk2X060fzYtj7ao1vrxJC/IZNrmjCTj7n5nLThsbZILtvdYAAAwLxQlzJqzM3njmiQppeybyeTC/27l+OMy2QvijrXW/ZNsXJ5TtnL8UqrbeJ41SQ5J9wa51npGrfWBtdaDa613zOScvrCDj/2N7uuFt2VLz93t9/GiWustM5mmeGAmy2cW3m+jTV7rzhHZ9LW+4Wa3XZnkvO08z+a+kU2XmXwsyf27n+1CD8tkkuPzC773lCRHlFL+erNjt3kupZTSZd/WuWzcU+aHmewfc+CCj326CZutPd8mumU6/9I935M3u/lbWbA0ppRy4yTXSvLf23rMq5641r+ttf5SrfWQTAqTNUn+c8Eht8iCpT0AADDvFCVMux9nspxlo3cmOaaU8qvdm8+XJTmt1jreyvFrM5m4uKDbc+MFOxukTOyVyf4SGzcsvVb3+YGllPt131tTSjk6k1Lmo93tDy2l3KyUsluZXA73NUm+2k2XpJRyi1LK2lLKnqWURyf5ze6YlFJu1Z3v7mWy8eurM3nDvXHD1rcmeUh3zB6ZLIH5dDd9svk53KuUcptuoubnmRQb67fy2n0oyU3L5NK1a8pkM91bJlm4xOXRpZRbllL2SfKXSd5Ta12/nefZ3Iey6XKokzKZiPinUkqvlLJHKeV+mex/8sIFS1aSyfTEb2Wygelwwfc3P5d3J+mXUn6je42Oy6R0+eyCY/6wlHJ493vynCSndN9/c5KnlFLu2P0O7FtK6W/cbHV7uud7Tya/h4/tplkWekeSB5VS7taVQ3+Z5L3dkqx0r/1eSXZPsvvG37Hutr3K5LLVpduX5h+S/E2t9fwFj3+PJB/ekawAADAPFCVMuxcmObFb8vB73VKD52XyL+fnZLLx5iO2dnyS12ayF8V5mUwifGRrT1Qmm61evI2NUI/M5M3uxqveXJarNyHdI5NLuJ7bPdfTk/xOrXXj7TfonvuiJN9MsiHJQxY89v2SfD+TZShPSfJbtdZzu9sOzeRN+8+7Y3pJHtjttZFa679n8sZ+lOQnmVxN51FbOYfrZfKm/eeZFC2fzOTSxEnyN0n+b5lc9eV1tdafZjIJclwmy5ue1T3vwqUvJyV5W5IfZbLR6h/twPNs7h+TPKBbmpJu75n7ZDLJcVr3GK9J8he11ldufueuELpvJlMoL+6+/fIkz+1+D57Z/RweneT1mfx8HpTJZq+/WPBQ78xkU9jvdx8v6R7/S5nsU/KGTH4+p2dySeMdtXGi5jczKewu7j7u1j3+tzL5mb8jk5/f2iRPW3D/52byuzbozuGy7nvJ5DV/ZybLd76Q5HOZ/PeRJCmlXD+TcutfFpEXAABmWql1mxPhADullPKJJG+vtR6/BI/1siQ/qbW+dpeDcZVSyquT/E+t9Y2tswAAwGqxZvuHALRVa31O6wyzqNZ6XOsMAACw2lh6AwAAANCx9AYAAACgY6IEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoKMoAQAAAOgoSgAAAAA6ihIAAACAjqIEAAAAoLOmdQBgdeoNRnsm2TvJXpv9uaXvLfxzTZLLkly62cclW/jepUkuHQ/7daXOCwAAYFtKrd6fwLzoDUa7J7leksOT3GDBx8Kvr59kn6zcxFlNcnmuLk5+luSHSc7q/lz4cdZ42L9ihXIBAABzSFECM6Q3GB2U5JZJjsyWy5BDk+zeLOCuq0nOzZZLlI0fZ5pQAQAAdpaiBKZQbzA6MMmtFnzcuvvz0Ja5VomLk3wzydeSfL378xvjYf+ypqkAAICpoCiBVa43GB2e5LZJbtd93DbJDZuGmj7rk3wvk9Lkqo/xsP/jpqkAAIBVR1ECq0hvMNo/yd2T/HquLkUObhpqtv04m5YnXxoP+6e3jQQAALSkKIGGeoPR3knumuTe3cftM917iMyCM5N8fOPHeNj/UeM8AADAClKUwArqDUZ7JLljri5G7pTkWk1DsT3fSvKxTIqTT4yH/Ysa5wEAAJaRogSWUW8w2i2TJTQbi5G7Jtm3aSh2xbokX8zVxcnnxsP+L9pGAgAAlpKiBJZYbzA6NMlDk/xmknskuXbbRCyjS5N8KpPS5N/Gw/7XGucBAAB2kaIElkBvMDo4ycOS/F4m5chubRPRyP8kOSXJu8bD/jdbhwEAABZPUQI7qTcYHZTJ5MjvJblXbMLKpr6dSWly8njY/17rMAAAwI5RlMAi9AajA5M8JMnDk/xGkjVtEzElvprkXUlOGQ/7Z7QOAwAAbJ2iBLajNxjtn+R3MilH7ptkj7aJmGI1yeczKU3e7dLDAACw+ihKYAu6y/g+JMnRSe4Xl/Bl6W1Icmompcl7xsP+TxvnAQAAoiiBTfQGo8OSPCXJE5Ncr3Ec5seVSd6X5I3jYf+TrcMAAMA8U5RAkt5gdPckx2YyRWLfEVr6VpK/T/KP42H/563DAADAvFGUMLd6g9G+SR6d5A+T3KZxHNjcxUnekcmUyTdahwEAgHmhKGHu9AajozIpR34/yYFt08AOOTXJXyf5wHjY39A6DAAAzDJFCXOhNxjtluQBmSyv+c0kpW0i2Cn/k+R1SU4YD/sXtw4DAACzSFHCTOsu7fvEJE9LcuPGcWCpXJjk+CSvHw/7Z7QOAwAAs0RRwkzqDUb7JfmjJM9Mcu3GcWC5rE/y7iQvGg/7320dBgAAZoGihJnSG4z2yWT/kWcluW7jOLBS1ic5KZPCZNw4CwAATDVFCTOhNxjtleQpSQZJDm0cB1q5MpMlOS8ZD/tntw4DAADTSFHCVOsNRntmsgfJc5Ic1jgOrBaXJ3ljkuF42D+3dRgAAJgmihKmUm8w2iPJMUmem+SGjePAanVxJlfJeeV42L+gdRgAAJgGihKmSm8wWpPksZkUJDdqHAemxQVJXp3ktS4rDAAA26YoYSr0BqPdkjwqyQuSHNU4Dkyr85L8VZK/HQ/7l7UOAwAAq5GihFWvNxj9Wib7Ldy+dRaYEWcn+cskbx4P+xtahwEAgNVEUcKq1RuMrpNkmOQJSUrjODCLvpTkKeNh/8utgwAAwGqhKGHV6Q1GJckfZFKSHNQ4Dsy6DZlMbD13POxf2DoMAAC0pihhVekNRrfL5E3bHVtngTnzoyTHjYf9d7YOAgAALSlKWBV6g9GBSV6S5KlJdmscB+bZx5M8bTzs/3frIAAA0IKihOZ6g9Fjk7wyySGtswBJkisy+W/ypeNh//LWYQAAYCUpSmimNxjdJsnfJrlb6yzAFn0/ybHjYf/DrYMAAMBKUZSw4nqD0dokL0ry9CRrGscBtu89SZ4xHvb/t3UQAABYbooSVlRvMLp3khOTHN46C7AoFyV5YZK/GQ/76xtnAQCAZaMoYUX0BqM9k7w0yXFJSuM4wM77TJKjx8P+Ga2DAADAclCUsOx6g9Etkrwzya+2zgIsiQuTPHk87J/SOggAACw1RQnLqjcY/WEmV8/Yu3UWYMmdmMlmrxe3DgIAAEtFUcKy6A1GhyQ5IUm/dRZgWZ2e5FHjYf+LrYMAAMBSUJRMkVLKXyR5VJL1STYkeXKt9bS2qa6pNxj1MylJDmmdBVgRVyZ5fpJXjIf9Da3DAADArlCUTIlSyp2TvCbJPWutV5RSrptkz1rr2Y2jXaU3GO2d5FVJntY6C9DEvyd5rMsIAwAwzXZrHYAddv0k59Var0iSWut5q6wk+dUkX46SBObZvZN8vTcY/U7rIAAAsLNMlEyJUsp+ST6dZJ8kH0tySq31k21TJb3BqCR5ZpKXJNmzcRxg9XhTkj8ZD/uXtQ4CAACLYaJkStRaL05y+yRPSnJuklNKKb/fMlNvMLp2ko8keUWUJMCmnpzky73B6FdaBwEAgMUwUTKlSin/N8njaq0PavH8vcHo5kk+kOSXWjw/MDWuSPLE8bB/UusgAACwIxQlU6KUcrMkG2qt3+u+fkmSA2utx650lt5gdP8kJyc5YKWfG5hawyTPGQ/7/k8HAIBVTVEyJUopt0/y+iQHJlmX5PQkT6q1nreSOXqD0XGZLLWxbAtYrH9J8ujxsH9J6yAAALA1ihJ2SG8wulYmmzM+rnUWYKp9LcmDx8P+D1sHAQCALVGUsF29wejQJO9LcufWWYCZ8OMkvzMe9j/fOggAAGzO8gm2qTcY3TbJF6MkAZbOoUk+0RuMjm4dBAAANmeihK3qDUa/m+RtSfZpHAWYXS9L8lybvAIAsFooSriG3mBUkrwwyfOSlLZpgDnw3iSPtckrAACrgaKETfQGo32TnJjkYa2zAHPlq5ls8npW6yAAAMw3RQlX6Q1G10vyoSS3bZ0FmEs/SvLb42H/C62DAAAwv2zmSpKkNxj1knwqShKgnesl+WRvMHpg6yAAAMwvRQnpDUa3TPKZJEe1zgLMvb2SvLc3GFn+BwBAE4qSOdcbjO6Q5NQkh7XOAtDZI8kpvcHoUa2DAAAwfxQlc6w3GN0ryceTHNQ6C8Bmdk9yUm8wenzrIAAAzBdFyZzqDUYPzmTj1rWtswBsxW5Jju8NRk9rHQQAgPmhKJlDvcHod5P8cyZ7AQCsZiXJ3/YGoz9pHQQAgPmgKJkzvcHokUlOTrKmdRaARXhNbzB6TusQAADMPkXJHOkNRo9JclIma/8Bps1Le4PRi1uHAABgtpVaa+sMrIDeYHRMkuOjHAOm36vGw/6ftQ4BAMBsUpTMgd5g9KQkf5/JWn+AWfCGJH80Hvb9nxgAAEtKUTLjeoPRE5O8KUoSYPYcn+TJ42F/Q+sgAADMDht6zrDeYPSQmCQBZtcTktQkT2odBACA2WG/ihnVG4zunuSd8TMGZtsTe4PRC1uHAABgdlh6M4N6g9Ftkpya5MDWWQBWyJPHw/4/tA4BAMD0U5TMmN5gdGSSzyY5rHUWgBW0PslDx8P+B1oHAQBguilKZkhvMDooyWeS3Kx1FoAGLkvyG+Nh/3OtgwAAML3sXzEjeoPRPklGUZIA82vvJB/sDUb+dxAAgJ2mKJkBvcFoTZJ/SnLH1lkAGjsoyUd7g9H1WwcBAGA6KUpmw/FJHtA6BMAqcWSSD/cGo/1bBwEAYPooSqZcbzAaJnlc6xwAq8yvJHlfbzDas3UQAACmi6JkivUGoz9O8uzWOQBWqXsnObE3GJXWQQAAmB6KkinVG4wekeSvW+cAWOUekeRVrUMAADA9XB54CvUGo7sk+Y8kRsoBdsxx42H/Na1DAACw+ilKpkxvMDo0yZeT3KB1FoApUpM8cDzsf6h1EAAAVjdFyRTpDUa7J/lYkns2jgIwjX6W5PbjYX/cOggAAKuXPUqmy8ujJAHYWddJ8p7eYHSt1kEAAFi9FCVTojcYPTTJn7XOATDlbp/kb1qHAABg9bL0Zgr0BqObJflikrWtswDMiMeNh/1/bB0CAIDVR1GyyvUGo32TfCHJLVtnAZghlyW543jY/2brIAAArC6W3qx+b4mSBGCp7Z3kn3uD0f6tgwAAsLooSlax3mD0x0ke3joHwIz6pSRvbR0CAIDVxdKbVao3GN01yb8n2aN1FoAZ98zxsFUudk8AACAASURBVP/q1iEAAFgdFCWrUG8wul6SryS5fussAHNgXZJ7j4f9T7UOAgBAe5berDK9wWhNklOiJAFYKWuSnNIbjA5tHQQAgPYUJavPy5PcvXUIgDlz/STv6g1Gu7cOAgBAW4qSVaQ3GN0jyXGtcwDMqXsmeXHrEAAAtGWPklWiNxjtm+QbSW7cOgvAHNuQ5O7jYf8zrYMAANCGiZLVYxglCUBruyV5W28w2qd1EAAA2lCUrAK9weieSf6wdQ4AkiRHJXlF6xAAALRh6U1jvcFov0yW3NyodRYArlKT3Gc87P976yAAAKwsEyXt/VWUJACrTUlyQm8w2r91EAAAVpaipKHeYHSvJE9tnQOALToyyV+3DgEAwMqy9KaRbsnNN5P0GkcBYNvuPx72P9I6BAAAK8NESTuviJIEYBr8fXcJdwAA5oCipIHeYHTvJE9pnQOAHXJkkpe2DgEAwMqw9GaFWXIDMJU2JLnLeNg/rXUQAACWl4mSlffKKEkAps1uSY7vDUZ7tA4CAMDyUpSsoN5g9BtJntw6BwA75dZJ/rx1CAAAlpelNyukNxityWTJzc1bZwFgp/0iya+Oh/3vtA4CAMDyMFGycp4WJQnAtNszyd+0DgEAwPIxUbICeoPRdZJ8L8l1WmcBYEn0x8P+h1qHAABg6ZkoWRnPj5IEYJa8sjcY7d46BAAAS09Rssx6g9FNM1l2A8DsuGWSJ7YOAQDA0lOULL9XJ3E5SYDZ86LeYLS2dQgAAJaWomQZ9Qaj+yR5YOscACyLQ5I8p3UIAACWls1cl0m3dv2rSW7TOgsAy+byJDcfD/tntA4CAMDSMFGyfJ4QJQnArNsryctahwAAYOmYKFkGvcFo/0wuB3xI6ywALLua5E7jYf8LrYMAALDrTJQsj7+IkgRgXpQkr2kdAgCApWGiZIn1BqMbJflOkmu1zgLAivq/42H/n1uHAABg15goWXqvjJIEYB79VW8w2rN1CAAAdo2iZAn1BqNfT/Kw1jkAaOImSY5tHQIAgF2jKFlaz28dAICmntcbjK7TOgQAADtvTesAs6I3GN0+yW+2zjHrrvzpWTn3A3911dfrLvhRDrzro7P/HX47SXLhae/NBZ84IYc//R3ZfZ8DNrnvugt/knPf99LUuiFZvz5rb//ArL3tA1LXXZmfvPfFWX/ReVl7237W3q6fJPnpR16ftbd9QPY89CYrd4LAtDswyR8leWHjHAAA7CQTJUvnz1sHmAd7HHR4Djvm9TnsmNfn+o97bcoe18o+N71zkmTdz8/N5eOvZvf9D97ifXff79q53qNflcOOeX2u99hX58LPvyfrLvppLvvBV7Ln9Y7K9R//hlz09Y8kSX7xk+8ntSpJgJ1xbG8w2rd1CAAAdo6iZAn0BqObJ3lI6xzz5vIzvp49Drx+1hwwuRLz+R9/c659r2MyuVLnNZXd90hZs0eSpK6/Mumu+FR22z31yiuSDeuvOvaCT709B9z16OU9AWBWHZTkCa1DAACwcxQlS2MQr+WKu+Q7p2afW9w9SXLp907L7msPyp6H3Hib91n383Nz9gnH5n/feEwOuNPDsmbtQdnrRrfN+ksuyDn/eFwOuOPDcun3Tsuehx6VNWsPWonTAGbTn/YGoz1ahwAAYPG8ud9FvcHoiCSPap1j3tT1V+ay07+QfW9+12y48vJc+LlTcuDdHr3d+63Z/+Ac9vg35LAn/UMu/s+PZ/0l56fstnsOfvCf5bBjXpd9bnbX/PxL78/+v/aQ/Ozjb86573tZLv3eaStwRsCMOSLJI1uHAABg8RQlu+7PkvhXwxV22fe/nD0PvUl23/faWXfBj7Luwh/n7BOenrP+7vFZf9F5Oedtz8j6i8/f6v3XrD0oexx0ZC7/4bc2+f5FXx1lv1v/Rq743/9K2X2PXPe3n50LP/eu5T4dYDY9qzcYbXktIAAAq5aiZBf0BqNDkvxB6xzz6JJvfzL7dstu9jy4lxs+/R05/Kkn5PCnnpDd11431//912b3/a69yX3W/fy8bLjyiiTJ+ssvzhX/++3scdDhV92+/vKLc9npX8y+t7536rorklKSUlLXXblyJwbMklsleVDrEAAALI7LA++aZyTZu3WIebPhystz+fhrOei3jt3usVec871c/LUP56D7/1Gu/OkPc/5/vOWq2/b/tYdmz4N7V3194WdOzgF3eXhKKdn7RrfLRV8Z5Zy3HJv9bnv/5TgNYD48O8kHWocAAGDHldpd+YPF6Q1GByQ5I8kBrbMAsKrdfTzsf6p1CAAAdoylNzvvaVGSALB9z24dAACAHWeiZCf0BqO9k4yTHNI4CgCrX03yK+Nh/5utgwAAsH0mSnbOE6IkAWDHlJgqAQCYGiZKFqk3GK1J8j9JjmidBYCpsS7JUeNh/4zWQQAA2DYTJYv34ChJAFicNUme2ToEAADbpyhZvCe0DgDAVHp8bzBa2zoEAADbpihZhN5gdHiS+7XOAcBU2ifJI1qHAABg2xQli3NMvGYA7LxjWgcAAGDbbOa6g3qDUclkE9cbtc4CwFS7xXjY/6/WIQAA2DLTETvuN6IkAWDXPb51AAAAtk5RsuP+oHUAAGbCY7pLzQMAsAopSnZAbzC6TpKHtM4BwEy4XpL7tw4BAMCWKUp2zGOSXKt1CABmhuU3AACrlKJkx1h2A8BS6vcGo4NbhwAA4JoUJdvRG4x+LcltWucAYKbskcm0IgAAq4yiZPtMkwCwHCy/AQBYhUqttXWGVas3GO2b5Jwka1tnAWAm/dp42P9i6xAAAFzNRMm2/W6UJAAsH1MlAACrjKJk2/wFFoDl9MjeYLR36xAAAFxNUbIVvcHo0CS/3joHADPtgCQPaR0CAICrKUq27kHx+gCw/H6vdQAAAK6mCNi6B7cOAMBcuG9vMNqrdQgAACYUJVvQG4z2SXKf1jkAmAv7JLl36xAAAEwoSrbsvklsrgfASnlg6wAAAEwoSrbst1sHAGCuKEoAAFaJUmttnWFV6Q1GuyU5J8khrbMAMFduOx72v9Y6BADAvDNRck13jpIEgJX3oNYBAABQlGyJq90A0IKiBABgFVCUXJP9SQBo4f/0BqPrtQ4BADDvFCUL9AajmyW5WescAMylkqTfOgQAwLxTlGzKshsAWrL8BgCgMUXJpiy7AaCl+/YGo71ahwAAmGeKkk5vMDo4kyveAEAr+yS5d+sQAADzTFFytX68HgC0Z/kNAEBDioGr3ad1AABI8sDWAQAA5pmi5Gp3bx0AAJIc3huMbt46BADAvFKUJOkNRr0kN2ydAwA69swCAGhEUTJxt9YBAGABRQkAQCOKkgnLbgBYTRQlAACNKEomFCUArCa37A1G+7cOAQAwj+a+KOkNRocmuWnrHACwwG5J7tg6BADAPJr7oiTJXVsHAIAtsPwGAKABRYm/iAKwOvn/JwCABhQlRpsBWJ3u1BuMSusQAADzZq6Lkt5gtCbJ7VvnAIAtODDJzVuHAACYN3NdlCT55SR7tw4BAFth+Q0AwAqb96LEshsAVjNFCQDAClOUAMDqpSgBAFhh816U3Kl1AADYhlv2BqMDWocAAJgnc1uU9AajtUlu2joHAGxDielHAIAVNbdFSZKbZfIXUABYzRQlAAAraN6LEgBY7VwiGABgBSlKAGB1s0wUAGAFKUoAYHX7pdYBAADmiaIEAFa3A3qD0SGtQwAAzIu5LEp6g1GJf6EDYHpYfgMAsELmsihJcsMk+7QOAQA7SFECALBC5rUosewGgGliChIAYIUoSgBg9TNRAgCwQhQlALD6KUoAAFaIogQAVr+bdBuRAwCwzBQlALD67Z3JRuQAACyzuStKeoPRPvGXTQCmj+U3AAArYO6KkkyuHGB8GYBp48o3AAArYB6LEstuAJhGJkoAAFbAPBYlR7YOAAA7QVECALAC5rEoObh1AADYCYp+AIAVoCgBgOlwUOsAAADzYB6Lkuu2DgAAO0FRAgCwAhQlADAd9ugNRmtbhwAAmHWKEgCYHtdpHQAAYNYpSgBgelh+AwCwzOaqKOkNRmuSHNA6BwDsJEUJAMAym6uiJJO/YJbWIQBgJylKAACW2bwVJZbdADDNFCUAAMtMUQIA08NmrgAAy0xRAgDTw0QJAMAyU5QAwPRQlAAALDNFCQBMD0UJAMAyU5QAwPRQlAAALLN5K0r8BROAaWYzVwCAZTZvRck+rQMAwC5Q+AMALLN5K0pK6wAAsAv2ax0AAGDWzVtRMm/nC8Bs2b11AACAWTdvxYGJEgCm2bz9/zYAwIqbt79wzdv5AjBjeoORqRIAgGU0b8WBiRIApp2iBABgGSlKAGC6KEoAAJbRvBUl83a+AMweRQkAwDKat+LARAkA005RAgCwjNa0DrDC5q0YgpV2fJIntQ4Bs2w87NfWGQAAZtm8FSUmSmB5XexNHAAAMM3mbcJCUQLL6+LWAQAAAHbFvBUl83a+sNIuaR0AAABgV8xbcWCiBJaXiRIAAGCqzVtRMm/nCyvNRAkAADDVFAfAUjJRAgAATLV5K0q8iYPlZaIEAACYavNWlPysdQCYccpIAABgqs1bUXJ+6wAw40yUAAAAU01RAiwlEyUAAMBUU5QAS8lECQAAMNXmrSixRwksLxMlAADAVJu3osRECSwvEyUAAMBUU5QAS+UX42H/ytYhAAAAdoWiBFgqlt0AAABTb96KEnuUwPKx7AYAAJh681aUmCiB5WOiBAAAmHpzVZSMh/0rklzWOgfMKBMlAADA1JuroqRjqgSWh4kSAABg6s1jUWKfElgeJkoAAICpN49FiYkSWB4mSgAAgKk3j0XJea0DwIwyUQIAAEy9eSxKftA6AMwoEyUAAMDUm8ei5PTWAWBGmSgBAACmnqIEWComSgAAgKmnKAGWiqIEAACYevNYlJyZ5BetQ8AMsvQGAACYenNXlIyH/fVJxq1zwAwyUQIAAEy9uStKOpbfwNIzUQIAAEw9RQmwVEyUAAAAU09RAiwVEyUAAMDUU5QAS8VECQAAMPUUJcBSMVECAABMvXktSsZJ1rUOATPGRAkAADD15rIoGQ/7VyY5s3UOmDEmSgAAgKk3l0VJx/IbWDrrxsP+Fa1DAAAA7CpFCbAUTJMAAAAzYZ6Lkv9sHQBmiP1JAACAmTDPRclprQPADFGUAAAAM2Gei5JvJLmsdQiYEZbeAAAAM2Fui5LxsL8uyZdb54AZYaIEAACYCXNblHQsv4GlYaIEAACYCYoSYCmYKAEAAGaCogRYCiZKAACAmTDXRcl42D8zyTmtc8AMMFECAADMhLkuSjqmSmDXmSgBAABmgqJEUQJLwUQJAAAwExQlyedbB4AZYKIEAACYCYqS5EtJNrQOAVPORAkAADAT5r4oGQ/7Fyf5VuscMOUUJQAAwEyY+6KkY58S2DWW3gAAADNBUTJhnxLYNSZKAACAmaAomfhc6wAw5UyUAAAAM0FRkmQ87H87yQ9b54ApZqIEAACYCYqSq32odQCYYiZKAACAmaAoudqodQCYYiZKAACAmaAoudrHk1zeOgRMKRMlAADATFCUdMbD/qVJ/qN1DphCG8bD/mWtQwAAACwFRcmmLL+BxTNNAgAAzAxFyaYUJbB49icBAABmhqJkgfGwP07y7dY5YMqYKAEAAGaGouSaTJXA4pgoAQAAZoai5Jr+tXUAmDKKEgAAYGYoSq7ps0kuaB0CpoilNwAAwMxQlGxmPOyvS/LR1jlgipgoAQAAZoaiZMvsUwI7zkQJAAAwMxQlW/bhJBtah4ApYaIEAACYGYqSLRgP++clOa11DpgSJkoAAICZoSjZune3DgBTwkQJAAAwMxQlW3dykvWtQ8AUMFECAADMDEXJVoyH/R8n+bfWOWAKmCgBAABmhqJk297eOgBMARMlAADAzFCUbNv74l/LYXv8NwIAAMwMRck2jIf9SzMpS4CtU5QAAAAzQ1GyfZbfwLZZegMAAMwMRcn2fTzJ/7YOAauYiRIAAGBmKEq2Yzzsr09yYuscsIqZKAEAAGaGomTHvCVJbR0CVikTJQAAwMxQlOyA8bD//SSfaJ0DVikTJQAAwMxQlOy441sHgFWoJrm0dQgAAICloijZce9Ncn7rELDKXDoe9i1LAwAAZoaiZAeNh/3Lk7yjdQ5YZexPAgAAzBRFyeK8uXUAWGXsTwIAAMwURckijIf9b8SmrrCQiRIAAGCmKEoW7xWtA8AqYqIEAACYKYqSRRoP+x9O8s3WOWCVMFECAADMFEXJznll6wCwSihKAACAmaIo2TknJzmzdQhYBSy9AQAAZoqiZCeMh/11SV7bOgesAiZKAACAmaIo2XlvTnJ+6xDQmIkSAABgpihKdtJ42L84yRtb54DGTJQAAAAzRVGya16X5PLWIaAhEyUAAMBMUZTsgvGw/5MkJ7bOAQ2ZKAEAAGaKomTXvSrJhtYhoBETJQAAwExRlOyi8bB/epL3tc4BjZgoAQAAZoqiZGm8onUAaMRECQAAMFMUJUtgPOx/IcknW+eABkyUAAAAM0VRsnT+snUAaEBRAgAAzBRFyRIZD/v/nuTDrXPACrP0BgAAmCmKkqX1Z0nWtw4BK8hECQAAMFMUJUtoPOx/K8lbW+eAFWSiBAAAmCmKkqX3vHjzyPzwuw4AAMwURckSGw/7P0ryqtY5YAVcNh72N7QOAQAAsJQUJcvjlUnOaR0Clpn9SQAAgJmjKFkG42H/kiQvaJ0DlpllNwAAwMxRlCyfE5J8q3UIWEYmSgAAgJmjKFkm42F/fZJntc4By8hECQAAMHMUJctoPOx/KMnHW+eAZWKiBAAAmDmKkuX3zCSuDMIsMlECAADMHEXJMhsP+19L8vbWOWAZmCgBAABmjqJkZTw3yWWtQ8ASU5QAAAAzR1GyAsbD/g+TvLR1Dlhilt4AAAAzR1Gycv4qyddbh4AlZKIEAACYOYqSFTIe9tcleXySda2zwBIxUQIAAMwcRckKGg/7X0nyqtY5YImYKAEAAGaOomTlvSjJd1uHgCVgogQAAJg5ipIVNh72L0/yB0k2tM4Cu8hECQAAMHMUJQ2Mh/3PJPnb1jlgF5koAQAAZo6ipJ0/TzJuHQJ2gYkSAABg5ihKGhkP+5ckeVLrHLALTJQAAAAzR1HS0HjY/7ckJ7TOATvJRAkAADBzFCXtHZfknNYhYCcoSgAAgJmjKGlsPOxfkOSprXPATrD0BgAAmDmKklVgPOy/P8kprXPAIpkoAQAAZo6iZPV4eizBYXpcMR7217cOAQAAsNQUJavEeNg/N8kjknjzyTQwTQIAAMwkRckqMh72T03yF61zwA6wPwkAADCTFCWrzyuSfLB1CNgOEyUAAMBMUpSsMuNhvyZ5XJIzWmeBbTBRAgAAzCRFySo0HvbPT/K7SX7ROgtshYkSAOD/s3fvwZLedZ3HPz2TyZAIDqUIgpTMgqvEFYh42aB4wQvl+iAoF5XFS60oglggGMtxFesRRB9rlxVdEBBFLgusgeUSGbnEgBQGkQSTEBQJt0cwCeEWHmYyk8nkTO8f5xczJJnbOd39637O61V16sxMdz/9naokVeed7+9pgFESSpZU3zUXJ/nV2nPAMdgoAQAARkkoWWJ91zwvyXm154DbYaMEAAAYJaFk+f18kitrDwG3YqMEAAAYJaFkyfVdsy/Jo5McrD0LHMVGCQAAMEpCyQrou+aKJL9Uew44ilACAACMklCyIvqueWmSv6g9BxSO3gAAAKMklKyWJyd5f+0hIDZKAACAkRJKVkjfNQeTPDzJNbVnYcuzUQIAAIySULJi+q751yRN/B996vLPHwAAMEpCyQrqu+bSrH8Szk21Z2HLslECAACMklCyovqueWuSJ9Segy3LRgkAADBKQskK67vmL5K0tedgS7JRAgAAjJJQsuL6rvmdJH9eew62HBslAADAKAkl4/DEJG+uPQRbio0SAABglISSEei75qYkj0nyvtqzsGXYKAEAAEZJKBmJvmuuz/rHBn+89ixsCTZKAACAURJKRqTvmmuT/Jckn689C6N2uO+aG2sPAQAAMA9Cycj0XfOhJA9PckPtWRgtx24AAIDREkpGqO+ai5I8Lsla7VkYJcduAACA0RJKRqrvmtcl+emIJcyejRIAAGC0hJIR67vm1Ul+MslNtWdhVGyUAAAAoyWUjFzfNa/N+kcHu/kms2KjBAAAGC2hZAvou+YNSR6V5FDtWRgFGyUAAMBoCSVbRN81b0ryiPg0HDbPRgkAADBaQskW0nfNW5M8LMmB2rOw0myUAAAAoyWUbDF911yY5IdjK4CN888OAAAwWkLJFtR3zTuT/FCSfbVnYSXZKAEAAEZLKNmi+q65KMlDkwy1Z2Hl2CgBAABGSyjZwvqueU+SH0hyXe1ZWClCCQAAMFpCyRbXd80lSb4vyWdrz8LKcPQGAAAYLaGE9F1zWZIHJbmy9iysBBslAADAaAklJEn6rvlIknOSvL32LCw9GyUAAMBoCSX8u75rrsv6p+H8We1ZWGo2SgAAgNESSvgSfdcc7rvmF5Kcm+RI7XlYSjZKAACA0RJKuF191zwnyY/FD8Xclo0SAABgtIQSjqnvmvOTPDjJv9WehaUingEAAKMllHBc5RNxvj3JJbVnYWnYKAEAAEZLKOGE+q65Jsl3J/l/tWdhKdgoAQAARkso4aT0XXMwyWOS/H7tWahqre+aG2oPAQAAMC+T6XRaewZWzO49e382yZ8mOb32LCzcF/uu2VV7CAAAgHmxUcIp67vmZUm+J8knas/Cwrk/CQAAMGpCCRvSd817kpyd5Pzas7BQQgkAADBqQgkb1nfNdX3XPCLJ05Icrj0PC+FGrgAAwKgJJWxa3zXPTfKdST5eexbmzkYJAAAwakIJM9F3zcVJvjk+QnjsbJQAAACjJpQwM33XDH3XPDrJE+IH6rGyUQIAAIyaUMLM9V3z4qxvl1xSexZmTgADAABGTShhLvqu+XCS70jye0mOVB6H2bFRAgAAjJpQwtz0XXO475rfTPK9Sf618jjMho0SAABg1IQS5q7vmncleUCSl1Yehc2zUQIAAIyaUMJClBu9/rckD0nyodrzsGE2SgAAgFETSliovmv+Nsn9k/x2khvqTsMG2CgBAABGTShh4fquubHvmmcluV+SC2rPwykRSgAAgFETSqim75qP9F3z0CT/Ncm1tefhpDh6AwAAjJpQQnV917w6yX2TvDDJtPI4HJ+NEgAAYNSEEpZC3zVf6LvmSUm+I8nltefhmGyUAAAAoyaUsFT6rnlPkm9Ncm78UL6MbJQAAACjJpSwdPquuanvmuckOSvJG2vPw5cQrwAAgFETSlhafdd8su+aH03yvUkuqjwO62yUAAAAoyaUsPT6rnln3zUPTvKwJJfVnmeLs1ECAACM2mQ69SEjrI7de/ZOkvx4kmcm+frK42w1R/qu2V57CAAAgHmyUcJK6btm2nfNXyb5xiSPT/KJyiNtJQdqDwAAADBvQgkrqe+atb5rXpL1rZKnJvl05ZG2AvcnAQAARk8oYaX1XXOo75o/TnLvJL+V5AuVRxoz9ycBAABGTyhhFPquub7vmmdnPZj8fvxQPw82SgAAgNETShiVvmuu67vmvye5T5LfTfKZyiONiVACAACMnlDCKPVdc23fNc9I8rVJfi7J5ZVHGgNbOgAAwOj5eGC2jN179n5P1m/8+oiIhBvxur5rHlV7CAAAgHnywyJbRt817+y75pFZP5bznCRD5ZFWjY0SAABg9IQStpy+a/q+a85Ncs8kv5zkysojrQr3KAEAAEZPKGHL6rtmf981z09y3yQ/nOStSZxFOzYbJQAAwOidVnsAqK3vmmmSNyd58+49e89K8qQkP5HkrlUHWz42SgAAgNGzUQJH6bvmg33XPCXJPZL8UJKXJfli3amWho0SAABg9HzqDZzA7j1775DkYUkem6RJsrPuRNU8qe+aF9YeAgAAYJ4cvYET6LvmhiSvTfLa3Xv27kryyKxHk+9Lsr3mbAtmowQAABg9GyWwQbv37L1b1u9l8tgk51QeZxEe2XfN62sPAQAAME9CCczA7j17753kJ5M8OsnZSSZ1J5qLh/Zdc0HtIQAAAOZJKIEZ271n712T/ECSHyxfX1N3opn5zr5r3l17CAAAgHkSSmDOykcO3xxNvjfJHasOtHEP6Lvm/bWHAAAAmCehBBZo9569O5I8KLeEk2/N6twQ9uv6rvlo7SEAAADmSSiBinbv2XvnrH96zg9m/bjO19Wd6Li+uu+aa2sPAQAAME9CCSyREk6+OckDj/r+DUm21ZyruFPfNftrDwEAADBPQgksud179p6Z5AH50njyn5KcvsAxpkm2913jPxgAAMCoCSWwgnbv2Xt61mPJ0fHkG5PsmtNbHui75svmdG0AAIClIZTAiOzes/fLk9wrydeWr3vd6vs9srFjPJ/uu+Zus5oTAABgWQklsIXs3rP3tCT3zO1HlLtkfSNlV5IvT7LzqJd+vO+aey92WgAAgMUTSoDbtXvP3p25JZzs6LvmnyuPBAAAMHdCCQAAAECxDB85CgAAALAUhBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSG1g7pgAAHF5JREFUAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgEIoAQAAACiEEgAAAIBCKAEAAAAohBIAAACAQigBAAAAKIQSAAAAgOK02gMAAABwK+2uZyZ5cO0xYMSuSDs89fYeEEoAAACWz4OSPKT2EDBix+whjt4AAAAsny+rPQCM3JFjPSCUAAAALJ871h4ARm7tWA8IJQAAAMvHRgnMl40SAACAFWKjBObLRgkAAMAKsVEC83XgWA8IJQAAAMuk3TVJcmbtMWDk9h/rAaEEAABguZyZZFJ7CBi5fcd6QCgBAABYLu5PAvMnlAAAAKwI9yeB+RNKAAAAVoSNEpg/oQQAAGBFCCUwf0IJAADAinD0BuZPKAEAAFgRNkpg/oQSAACAFWGjBOZPKAEAAFgRNkpg/oQSAACAFWGjBObv08d6QCgBAABYLjZKYL5uilACAACwMmyUwHx9Ku0wPdaDQgkAAMBysVEC83X18R4USgAAAJaLjRKYL6EEAABghdgogfkSSgAAAFaIUALzJZQAAACsEEdvYL6EEgAAgBViowTmSygBAABYITZKYL6EEgAAgBViowTm66rjPSiUAAAALBcbJTA/n087fP54TxBKAAAAlotQAvPzoRM9QSgBAABYFu2uM+LnNJgnoQQAAGCFuD8JzJdQAgAAsEIcu4H5EkoAAABWiI0SmC+hBAAAYIXYKIH5WUvykRM9SSgBAABYHjZKYH4+nna48URPEkoAAACWh1AC83PCYzeJUAIAALBMHL2B+RFKAAAAVoyNEpiffzmZJwklAAAAy8NGCczP+07mSUIJAADA8rBRAvNxKMkVJ/NEoQQAAGB52CiB+bg87XD4ZJ4olAAAACwPGyUwH5ec7BOFEgAAgOVhowTm4+KTfaJQAgAAsDxslMB82CgBAABYQTZKYPauT/LBk32yUAIAALA8bJTA7F2adlg72ScLJQAAAMtDKIHZO+n7kyRCCQAAwDJx9AZm76TvT5IIJQAAAMvERgnM3ntO5clCCQAAwPKwUQKz1acdPnYqLxBKAAAAlodQArP1jlN9gVACAACwDNpdO5OcVnsMGJm3n+oLhBIAAIDl4P4kMHtCCQAAwIpy7AZm60Nph6tP9UVCCQAAwHKwUQKzdcrbJIlQAgAAsCxslMBsCSUAAAArzEYJzM40G/jEm0QoAQAAWBY2SmB23p92+NxGXiiUAAAALAcbJTA7Gzp2kwglAAAAy0IogdnZu9EXCiUAAADLwdEbmI3rkrxzoy8WSgAAAJaDjRKYjb1ph5s2+mKhBAAAYDnYKIHZeMNmXiyUAAAALAcbJbB5NyR5y2YuIJQAAAAsBxslsHl/k3a4fjMXEEoAAACWg40S2LxNHbtJhBIAAIBlYaMENudIkvM3exGhBAAAYDnYKIHNeXfa4TObvYhQAgAAsBxslMDmbPrYTSKUAAAALAsbJbBx0ySvm8WFhBIAAIDlIJTAxv1d2uHjs7iQUAIAALAcHL2BjXv5rC4klAAAACwHGyWwMQeTnDeriwklAAAAtbW7diTZUXsMWFFvTDt8cVYXE0oAAADqs00CGzezYzeJUAIAALAM3J8ENuaaJG+b5QWFEgAAgPpslMDGvCrtsDbLCwolAAAA9dkogY152awvKJQAAADUZ6METt1laYcrZn1RoQQAAKA+GyVw6ma+TZIIJQAAAMvARgmcmoMRSgAAAEbLRgmcmlelHa6bx4WFEgAAgPpslMCpef68LiyUAAAA1CeUwMn7+7TDpfO6uFACAABQn6M3cPLmtk2SCCUAAADLwEYJnJxrkrxmnm8glAAAANRnowROzgvSDjfO8w2EEgAAgPpslMCJ3ZDkhfN+E6EEAACgPhslcGKvSjt8Zt5vctq83wAAAIATslGyQZ8cjuRn3nAwn9o/zbZJ8oQH7shTz9mZ9m9vyIv/8XC+6sxJkuT3vn9nfvg/7viS137os2v5idce/Pfff+y6I3nmQ3bmV87ZmV+/4Ia8+SM35eyv3p6X/9gZSZJXXH5jPn9wmqees3Nxf0GO9txFvIlQAgAAUJ+Nkg06bVvynIfeIQ+8+/bsOzTNt/zp9fnB+6z/qPu0c07Pud9x7KjxDXfZnsueuN6o1o5M8zX/a39+7L47Mtwwzbv/bS3vf9Id87jXHcgV167l675iW156+eG85XFnLuTvxW28Ke1wxSLeSCgBAACoz0bJBt39Ttty9zut//pOOyc566u25aovTk/5Ohd+fC33+Yptudedt2XfoWluXJtmOp3m4OFkx/bkf7z7xjzl20/Pju2TGf8NOEnPWtQbuUcJAABAfTZKZqD/wpFces1a/vM9tydJnvfeG3P/F+zPz73xYK47ePx48n8/cDiP/ab1ozl32jnJo87akW9+0fX5D3fell07J7n46rU84r47jnsN5uZtaYf3LurNJtPpqZc2AAAAZqjd9dkkX1l7jFW2/8Zpvuel1+c3v2tnHnnWjly7/0jucuYkk0nyjLcfyjX7p3nJI8643dfeuDbNPZ6zP//0S1+Wu93xtvsEP3/+wTz5207P+65Zy9s+elPuf7ft+a3vdp+SBXpw2uGiRb2ZjRIAAID6bJRswuG1aR513oE87n478siz1rc+7nbHbdm+bZJtk0l+4VtOz3uvWjvm69/84ZvywLtvu91Icuk166/7+q/clpdffjjnPebMfODTa/nw5459PWbqHYuMJIlQAgAAUFe7a3uSO9QeY1VNp9M8/vwbctZdtufpD7ply+OafUf+/dev/+DhfNNdj/3j76uPOnZza894x6E88yE7c/hIslYOZGybJAcOz2Z+Tmhh9ya5mZu5AgAA1OVGrptw0SfX8or3H8797rotZ79wf5L1jwJ+9QduymWfWsskye47b8uLHrbeoq7edyQ/f/4N+evy6TUHDk9zwcfW8qKH3fZYzhv+5XC+7R7bc487rUeWB91ze+73gv25/9225QFfvX0xf8Gt7aK0wzsW/abuUQIAAFBTu+seSa6qPQYsoR9KO7x10W/q6A0AAEBdNkrgti6uEUkSoQQAAKA2N3KF23pmrTcWSgAAAOqyUQJf6l1phzfVenOhBAAAoC4bJXCLaZJzaw4glAAAANRlowRu8Zdph/fWHEAoAQAAqMtGCaw7lOQ3ag8hlAAAANRlowTWPS/t0NceQigBAACoy0YJJJ9P8ru1h0iEEgAAgNpslEDyu2mHL9QeIhFKAAAAahNK2Oo+muT5tYe4mVACAABQl6M3bHW/kXa4sfYQNxNKAAAA6rJRwlb2rrTDa2oPcTShBAAAoC4bJWxVh5M8sfYQtyaUAAAA1GWjhK3qf6Yd/rn2ELcmlAAAANRlo4St6GNJnlV7iNsjlAAAANRlo4St6Mlph4O1h7g9QgkAAEBdNkrYas5LO7yl9hDHIpQAAADUZaOErWRI8iu1hzgeoQQAAKAuGyVsJb+Zdrim9hDHI5QAAADU0u7aluSM2mPAglyc5AW1hzgRoQQAAKCeM5NMag8BC3BTkl9MOxypPciJCCUAAAD1uD8JW8Wz0g6X1h7iZAglAAAA9QglbAX/kOTZtYc4WUIJAABAPW7kytgdSPLTaYe12oOcLKEEAACgHhsljN2vpR0+XHuIUyGUAAAA1GOjhDF7S9rhT2oPcaqEEgAAgHpslDBWn0/yc7WH2AihBAAAoB4bJYzVE9MO19QeYiOEEgAAgHpslDBGr0w7vKb2EBsllAAAANRjo4Sx+USSX649xGYIJQAAAPXYKGFMbkzy6LTDF2oPshlCCQAAQD02ShiTp6UdLq49xGYJJQAAAPXYKGEsXrmKHwV8e4QSAACAeoQSxuCfkjyh9hCzIpQAAADU4+gNq25fkkelHQ7UHmRWhBIAAIB6bJSw6h6fdvhQ7SFmSSgBAACox0YJq+yP0g6vqT3ErAklAAAA9dgoYVW9O8mv1R5iHoQSAACAemyUsIquSvKYtMPh2oPMg1ACAABQj40SVs31SX4k7XB17UHmRSgBAACox0YJq+RIksemHS6tPcg8CSUAAAA1tLsmSc6sPQacgl9NO/xV7SHmTSgBAACo44z4mYzV8Sdph+fWHmIR/EsJAABQh/uTsCrekuQptYdYFKEEAACgDvcnYRVckeTH0w5rtQdZFKEEAACgDhslLLtPJXlY2mFf7UEWSSgBAACoQyhhmV2f5OFph0/UHmTRhBIAAIA6HL1hWR1K8oi0w8W1B6lBKAEAAKjDRgnL6Kas35PkwtqD1CKUAAAA1GGjhGVzJMnPph3Orz1ITUIJAABAHTZKWDZPSju8qvYQtQklAAAAddgoYZmcm3b409pDLAOhBAAAoA4bJSyLZ6UdnlN7iGUhlAAAANRho4Rl8Ny0w2/XHmKZCCUAAAB12Cihtj9L8vTaQywboQQAAKAOGyXU9IIkT0g7TGsPsmxOqz0AAADAFmWjhFqem3Z4Wu0hlpWNEgAAgDqEEmr4A5Hk+IQSAACAOhy9YdF+J+2wp/YQy87RGwAAgDpslLBIT087/GHtIVaBUAIAAFCHjRIW4UjWb9r657UHWRVCCQAAQB02Spi3w0l+Ku1wXu1BVolQAgAAUIeNEubpi0kek3Z4W+1BVo1QAgAAUIdQwrx8MkmTdrii9iCryKfeAAAALFq76w5Jttceg1H6xyTniCQbJ5QAAAAsnvuTMA9vSvLdaYeraw+yyoQSAACAxXPshll7XpIfTTtcX3uQVeceJQAAAItno4RZOZLk3LTDH9YeZCyEEgAAgMWzUcIsHEjyuLTDG2oPMiZCCQAAwOLZKGGzPpnkkWmHS2oPMjbuUQIAALB4QgmbcWGSb6kRSSaTydpkMrlsMpl8YDKZ/NVkMrlz+fPdk8nkYHns5q+fWfR8s2CjBAAAYPEcvWEjpkm6JM9IO6xVmuHgdDo9O0kmk8nLkjw5ybPLYx+9+bFVJpQAAAAsno0STtWQ5GfTDm+sPchR/j7J/WsPMWuO3gAAACyejRJOxRVJvnWZIslkMtme5PuTnH/UH9/nVkdvvqvSeJtiowQAAGDxbJRwsl6Z5AlphwO1BynOmEwmlyXZneR9SS446rFRHL2xUQIAALB4Nko4kcNJfjnt8FNLFEmSW+5Rcq8kp2f9HiWjIpQAAAAsno0SjufDSb4z7fD82oMcy3Q6HZI8Jcm5k8lkR+15ZkkoAQAAWDwbJRzLi5KcnXa4uPYgJzKdTi9NcnmSnyx/dOt7lDyl4ngb5h4lAAAAi2ejhFv7dJLHpx3eVHuQ45lOp3e81e9/5KjfnrHgcebCRgkAAMDi2SjhaH+V5H7LHkm2ChslAAAAi2ejhCS5PsnT0g4vrj0ItxBKAAAAFk8o4R+S/FTa4SO1B+FLOXoDAACweI7ebF2HkjwjyYNFkuVkowQAAGDxbJRsTe9I8sS0w5W1B+HYhBIAAIDFs1GytXwuyblph5fWHoQTE0oAAAAWTyjZOl6R5Olph8/WHoSTI5QAAAAsUrvr9CQ7ao/B3H0k68dsLqw9CKfGzVwBAAAWy/1Jxu1wkmcnuZ9IsppslAAAACyWYzfj9dasH7P559qDsHFCCQAAwGLZKBmfD2T9Zq1vrT0Im+foDQAAwGLZKBmPa5P8YpKzRZLxsFECAACwWDZKVt/BJH+YpEs77Ks9DLMllAAAACyWjZLVNU3yqiS/kXb4ZO1hmA+hBAAAYLFslKymdyT59bTDxbUHYb6EEgAAgMUSSlbLhUl+J+3wrtqDsBhCCQAAwGI5erMa3pbkmWmHi2oPwmIJJQAAAItlo2S5vSXrGyTvqT0IdQglAAAAi2WjZDntzfoGyXtrD0JdQgkAAMBi2ShZHmtJXp/kD9IOl9QehuUglAAAACyWjZL6rkvy4iTPTzt8ovYwLBehBAAAYLFslNTzwSR/nOTlaYcDtYdhOQklAAAAi2WjZLGmSd6c5I+SXJB2mFaehyUnlAAAACyWjZLF2JfkZUn+d9rhytrDsDqEEgAAgMWyUTJff5fkJUnOSztcX3sYVo9QAgAAsFg2SmbvU1nfHnmJ7RE2SygBAABYLKFkNg4keUOSV2T93iNrledhJIQSAACAxXL0ZuPWkrwzyf9J8tq0w77K8zBCQgkAAMBi2Sg5NYeSXJDkdUnOTzt8rvI8jJxQAgAAsCjtrtOSnF57jBWwL8neJK9P8tdph/2V52ELEUoAAAAWxzbJsX0myflZ3xy5MO1wqPI8bFFCCQAAwOK4P8ktDiV5d5K/SXJhkkvckJVlIJQAAAAszlbeKDmS5NLcEkb+Lu1wsO5IcFtCCQAAwOJspY2SaZIrk7w962Hk7WmH6+qOBCcmlAAAACzOmDdKrk3y3qO+LhZGWEVCCQAAwOKMZaNkX5L3Jbk4N4eRdvhE3ZFgNoQSAACAxVm1jZJ9Sf4lyQfL95t/fWXa4UjNwWBehBIAAIDFWcaNksNJrk7y0dwSRNa/t8NVNQeDGoQSAACAxVn0Rsm+JFcl+bdbfT/6159OO0wXPBcsLaEEAABgcS5J8qwkZyY546jvO7L+8bnTk/h+KMmQ5Ivl69i/bodDC/p7wWhMplPhEAAAACBJttUeAAAA+P/t2CEBAAAAw6D+rW8W4gJiAMALUQIAAAAQUQIAAAAQUQIAAAAQUQIAAAAQUQIAAAAQUQIAAACQASKTj6w3Aw6BAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "explode = list(\n",
    "    np.true_divide(\n",
    "        np.logspace(-1.2, 1.2, data_train_SBB['VERKEHRSMITTEL_TEXT'].value_counts().shape[0]), 4))\n",
    "plot_value_counts_pie_chart(data_train_SBB['VERKEHRSMITTEL_TEXT'],\n",
    "                            'Train \"Stops\" per train type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BETRIEBSTAG</th>\n",
       "      <th>FAHRT_BEZEICHNER</th>\n",
       "      <th>BETREIBER_ABK</th>\n",
       "      <th>PRODUKT_ID</th>\n",
       "      <th>LINIEN_ID</th>\n",
       "      <th>LINIEN_TEXT</th>\n",
       "      <th>VERKEHRSMITTEL_TEXT</th>\n",
       "      <th>HALTESTELLEN_NAME</th>\n",
       "      <th>ANKUNFTSZEIT</th>\n",
       "      <th>AN_PROGNOSE</th>\n",
       "      <th>AN_PROGNOSE_STATUS</th>\n",
       "      <th>ABFAHRTSZEIT</th>\n",
       "      <th>AB_PROGNOSE</th>\n",
       "      <th>AB_PROGNOSE_STATUS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>count</td>\n",
       "      <td>153956</td>\n",
       "      <td>153956</td>\n",
       "      <td>153956</td>\n",
       "      <td>153956</td>\n",
       "      <td>153956</td>\n",
       "      <td>153956</td>\n",
       "      <td>153956</td>\n",
       "      <td>153956</td>\n",
       "      <td>134487</td>\n",
       "      <td>134270</td>\n",
       "      <td>153956</td>\n",
       "      <td>134487</td>\n",
       "      <td>134266</td>\n",
       "      <td>153956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>unique</td>\n",
       "      <td>31</td>\n",
       "      <td>767</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>767</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "      <td>35231</td>\n",
       "      <td>129845</td>\n",
       "      <td>2</td>\n",
       "      <td>35094</td>\n",
       "      <td>129406</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>top</td>\n",
       "      <td>30.10.2019</td>\n",
       "      <td>85:88:1052:000</td>\n",
       "      <td>RBS</td>\n",
       "      <td>Zug</td>\n",
       "      <td>1052</td>\n",
       "      <td>S7</td>\n",
       "      <td>S</td>\n",
       "      <td>Bern</td>\n",
       "      <td>30.10.2019 07:54</td>\n",
       "      <td>18.10.2019 10:47:30</td>\n",
       "      <td>REAL</td>\n",
       "      <td>11.10.2019 18:22</td>\n",
       "      <td>18.10.2019 09:48:00</td>\n",
       "      <td>REAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>freq</td>\n",
       "      <td>5584</td>\n",
       "      <td>364</td>\n",
       "      <td>153956</td>\n",
       "      <td>153956</td>\n",
       "      <td>364</td>\n",
       "      <td>54187</td>\n",
       "      <td>114363</td>\n",
       "      <td>16792</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>132857</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>132983</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       BETRIEBSTAG FAHRT_BEZEICHNER BETREIBER_ABK PRODUKT_ID LINIEN_ID  \\\n",
       "count       153956           153956        153956     153956    153956   \n",
       "unique          31              767             1          1       767   \n",
       "top     30.10.2019   85:88:1052:000           RBS        Zug      1052   \n",
       "freq          5584              364        153956     153956       364   \n",
       "\n",
       "       LINIEN_TEXT VERKEHRSMITTEL_TEXT HALTESTELLEN_NAME      ANKUNFTSZEIT  \\\n",
       "count       153956              153956            153956            134487   \n",
       "unique           5                   2                30             35231   \n",
       "top             S7                   S              Bern  30.10.2019 07:54   \n",
       "freq         54187              114363             16792                 9   \n",
       "\n",
       "                AN_PROGNOSE AN_PROGNOSE_STATUS      ABFAHRTSZEIT  \\\n",
       "count                134270             153956            134487   \n",
       "unique               129845                  2             35094   \n",
       "top     18.10.2019 10:47:30               REAL  11.10.2019 18:22   \n",
       "freq                      5             132857                 8   \n",
       "\n",
       "                AB_PROGNOSE AB_PROGNOSE_STATUS  \n",
       "count                134266             153956  \n",
       "unique               129406                  2  \n",
       "top     18.10.2019 09:48:00               REAL  \n",
       "freq                      6             132983  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Take a look at the data, to understand its size\n",
    "data_train_SBB.describe(include='object')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
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       "        BETRIEBSTAG FAHRT_BEZEICHNER BETREIBER_ABK PRODUKT_ID LINIEN_ID  \\\n",
       "1330859  01.10.2019   85:88:8230:000           RBS        Zug      8230   \n",
       "1330860  01.10.2019   85:88:8230:000           RBS        Zug      8230   \n",
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       "1330862  01.10.2019   85:88:8230:000           RBS        Zug      8230   \n",
       "1330863  01.10.2019   85:88:8230:000           RBS        Zug      8230   \n",
       "\n",
       "        LINIEN_TEXT VERKEHRSMITTEL_TEXT  ZUSATZFAHRT_TF  FAELLT_AUS_TF  \\\n",
       "1330859          S8                   S           False          False   \n",
       "1330860          S8                   S           False          False   \n",
       "1330861          S8                   S           False          False   \n",
       "1330862          S8                   S           False          False   \n",
       "1330863          S8                   S           False          False   \n",
       "\n",
       "           BPUIC HALTESTELLEN_NAME      ANKUNFTSZEIT          AN_PROGNOSE  \\\n",
       "1330859  8508064      Bätterkinden               NaN                  NaN   \n",
       "1330860  8508063         Schalunen  01.10.2019 22:54  01.10.2019 22:54:44   \n",
       "1330861  8508062     Büren zum Hof  01.10.2019 22:56  01.10.2019 22:56:56   \n",
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       "1330863  8508060        Grafenried  01.10.2019 23:00  01.10.2019 22:59:57   \n",
       "\n",
       "        AN_PROGNOSE_STATUS      ABFAHRTSZEIT          AB_PROGNOSE  \\\n",
       "1330859           PROGNOSE  01.10.2019 22:52  01.10.2019 22:52:34   \n",
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       "1330862               REAL  01.10.2019 22:58  01.10.2019 22:58:40   \n",
       "1330863               REAL  01.10.2019 23:00  01.10.2019 23:00:40   \n",
       "\n",
       "        AB_PROGNOSE_STATUS  DURCHFAHRT_TF  \n",
       "1330859               REAL          False  \n",
       "1330860               REAL          False  \n",
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      "model_name": "LayoutModel",
      "state": {}
     },
     "89b294abcc444f7db9123ce499b205d1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "8ae5fad58a6c4bcbbc40b51a2bec91d7": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "911e9011c7b34fb6a6a4dc4b6ed8eff9": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_9d991804b1634cdabbb2692d62c00d1b",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 432x288 with 1 Axes>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "930bf2ef74444ab1b8510e7f153ed574": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "IntSliderModel",
      "state": {
       "description": "k",
       "layout": "IPY_MODEL_8613b2018a5949f7ab7711bbd35e8082",
       "max": 10,
       "min": 1,
       "style": "IPY_MODEL_c6c3ede1cfe14d46bf5bf7459bc66e69",
       "value": 5
      }
     },
     "9c198d4a7dd6450798af3ef99ac5ff47": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "IntSliderModel",
      "state": {
       "description": "n",
       "layout": "IPY_MODEL_6fee79d2c7884a92b7e1ecc459b2c815",
       "max": 30,
       "min": 2,
       "style": "IPY_MODEL_0d806cb586ac40ce89447772691a8d81",
       "value": 18
      }
     },
     "9d991804b1634cdabbb2692d62c00d1b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "bcda41285ef84442a06889b11ab4ae95": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_453091f549174e9aaa7a1c342b74fa71",
        "IPY_MODEL_ea27acb68a1f4912bf4749f7c2658cdf",
        "IPY_MODEL_930bf2ef74444ab1b8510e7f153ed574",
        "IPY_MODEL_1424c28d68f14598979f6f66b61b7ede",
        "IPY_MODEL_6964372fdc9f43238bfcafe9f338f9b0",
        "IPY_MODEL_ce0b24723c574564af93b3e1cfaa50c3"
       ],
       "layout": "IPY_MODEL_8ae5fad58a6c4bcbbc40b51a2bec91d7"
      }
     },
     "c01cf9a43fdb46e9bac86a7a7a26cc81": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "lobster",
        "power law",
        "Newman-Watts-Strogatz",
        "Erdős-Rényi"
       ],
       "description": "generator",
       "index": 3,
       "layout": "IPY_MODEL_64d74056a42241daa8591d288d776245",
       "style": "IPY_MODEL_5663373315c147b881c6772288168d84"
      }
     },
     "c13cffe407ac4fd7915ab5788781f9f9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "c6c3ede1cfe14d46bf5bf7459bc66e69": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "ce0b24723c574564af93b3e1cfaa50c3": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_d0e7f1875a784e4696ea00e1916230fc",
       "outputs": [
        {
         "ename": "NameError",
         "evalue": "name 'nx' is not defined",
         "output_type": "error",
         "traceback": [
          "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
          "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
          "\u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\tf-gpu\\lib\\site-packages\\ipywidgets\\widgets\\interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[1;34m(self, *args)\u001b[0m\n\u001b[0;32m    254\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    255\u001b[0m                     \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 256\u001b[1;33m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    257\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    258\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
          "\u001b[1;32m<ipython-input-31-dbb451c7b975>\u001b[0m in \u001b[0;36mplot_random_graph\u001b[1;34m(n, m, k, p, generator)\u001b[0m\n\u001b[0;32m     14\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     15\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mplot_random_graph\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mgenerator\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 16\u001b[1;33m     \u001b[0mg\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgenerator\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mp\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     17\u001b[0m     \u001b[0mnx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     18\u001b[0m     \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
          "\u001b[1;32m<ipython-input-31-dbb451c7b975>\u001b[0m in \u001b[0;36mrandom_lobster\u001b[1;34m(n, m, k, p)\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mrandom_lobster\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mp\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mnx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrandom_lobster\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mp\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mpowerlaw_cluster\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mm\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mk\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mp\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
          "\u001b[1;31mNameError\u001b[0m: name 'nx' is not defined"
         ]
        }
       ]
      }
     },
     "d0e7f1875a784e4696ea00e1916230fc": {
      "model_module": "@jupyter-widgets/base",
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      "model_name": "LayoutModel",
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      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
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      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
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     "ea27acb68a1f4912bf4749f7c2658cdf": {
      "model_module": "@jupyter-widgets/controls",
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       "max": 10,
       "min": 1,
       "style": "IPY_MODEL_7a8f5aec0feb47bbb53437b783a41c6c",
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       "layout": "IPY_MODEL_19b703240392475d864e786d75886b51",
       "max": 10,
       "min": 1,
       "style": "IPY_MODEL_6909a662fd5a4c53aebb23942b22c341",
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     "f75e6f11efa94048a8c186dabda993e2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
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