Examining Brooklyn Data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import datetime as dt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pickups_brooklyn = pd.read_csv('Pickups_Brooklyn_June.csv', delimiter=',')\n",
    "pickups_brooklyn['pickup_datetime'] = pickups_brooklyn['pickup_datetime'].apply(lambda x: dt.datetime.strptime(x, \"%Y-%m-%d %H:%M:%S\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>pickup_datetime</th>\n",
       "      <th>pickup_longitude</th>\n",
       "      <th>pickup_latitude</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>fare_amount</th>\n",
       "      <th>tip_amount</th>\n",
       "      <th>tolls_amount</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>passenger_count</th>\n",
       "      <th>trip_distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20</td>\n",
       "      <td>2016-06-09 21:06:38</td>\n",
       "      <td>-74.016121</td>\n",
       "      <td>40.710899</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.30</td>\n",
       "      <td>1</td>\n",
       "      <td>0.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>60</td>\n",
       "      <td>2016-06-09 21:09:53</td>\n",
       "      <td>-74.008247</td>\n",
       "      <td>40.711269</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.69</td>\n",
       "      <td>1</td>\n",
       "      <td>2.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>71</td>\n",
       "      <td>2016-06-09 21:09:55</td>\n",
       "      <td>-74.016251</td>\n",
       "      <td>40.711048</td>\n",
       "      <td>1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.36</td>\n",
       "      <td>1</td>\n",
       "      <td>5.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>124</td>\n",
       "      <td>2016-06-09 21:06:00</td>\n",
       "      <td>-74.003128</td>\n",
       "      <td>40.706345</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.50</td>\n",
       "      <td>1</td>\n",
       "      <td>4.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>139</td>\n",
       "      <td>2016-06-09 21:06:02</td>\n",
       "      <td>-73.987724</td>\n",
       "      <td>40.700386</td>\n",
       "      <td>1</td>\n",
       "      <td>11.5</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.80</td>\n",
       "      <td>1</td>\n",
       "      <td>2.30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0     pickup_datetime  pickup_longitude  pickup_latitude  \\\n",
       "0          20 2016-06-09 21:06:38        -74.016121        40.710899   \n",
       "1          60 2016-06-09 21:09:53        -74.008247        40.711269   \n",
       "2          71 2016-06-09 21:09:55        -74.016251        40.711048   \n",
       "3         124 2016-06-09 21:06:00        -74.003128        40.706345   \n",
       "4         139 2016-06-09 21:06:02        -73.987724        40.700386   \n",
       "\n",
       "   payment_type  fare_amount  tip_amount  tolls_amount  total_amount  \\\n",
       "0             1          5.0        2.00           0.0          8.30   \n",
       "1             1         10.0        3.39           0.0         14.69   \n",
       "2             1         19.0        4.06           0.0         24.36   \n",
       "3             1         20.0        2.20           0.0         23.50   \n",
       "4             1         11.5        1.00           0.0         13.80   \n",
       "\n",
       "   passenger_count  trip_distance  \n",
       "0                1           0.70  \n",
       "1                1           2.02  \n",
       "2                1           5.56  \n",
       "3                1           4.20  \n",
       "4                1           2.30  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickups_brooklyn.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del pickups_brooklyn['Unnamed: 0']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-74.01612091, -74.00824738, -74.01625061, ..., -73.98654175,\n",
       "       -74.00951385, -74.01699829])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickups_brooklyn['pickup_longitude'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pickups_brooklyn['location'] = np.nan\n",
    "loc = []\n",
    "for i in range(len(pickups_brooklyn['pickup_latitude'].values)):\n",
    "    loc.append((pickups_brooklyn['pickup_longitude'].values[i], pickups_brooklyn['pickup_latitude'].values[i]))\n",
    "pickups_brooklyn['location'] = loc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#pickups_brooklyn['location']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pickup_datetime</th>\n",
       "      <th>pickup_longitude</th>\n",
       "      <th>pickup_latitude</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>fare_amount</th>\n",
       "      <th>tip_amount</th>\n",
       "      <th>tolls_amount</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>passenger_count</th>\n",
       "      <th>trip_distance</th>\n",
       "      <th>location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-06-09 21:06:38</td>\n",
       "      <td>-74.016121</td>\n",
       "      <td>40.710899</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.30</td>\n",
       "      <td>1</td>\n",
       "      <td>0.70</td>\n",
       "      <td>(-74.0161209106, 40.710899353)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-06-09 21:09:53</td>\n",
       "      <td>-74.008247</td>\n",
       "      <td>40.711269</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.69</td>\n",
       "      <td>1</td>\n",
       "      <td>2.02</td>\n",
       "      <td>(-74.0082473755, 40.7112693787)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-06-09 21:09:55</td>\n",
       "      <td>-74.016251</td>\n",
       "      <td>40.711048</td>\n",
       "      <td>1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.36</td>\n",
       "      <td>1</td>\n",
       "      <td>5.56</td>\n",
       "      <td>(-74.0162506104, 40.7110481262)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-06-09 21:06:00</td>\n",
       "      <td>-74.003128</td>\n",
       "      <td>40.706345</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.50</td>\n",
       "      <td>1</td>\n",
       "      <td>4.20</td>\n",
       "      <td>(-74.0031280518, 40.7063446045)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-06-09 21:06:02</td>\n",
       "      <td>-73.987724</td>\n",
       "      <td>40.700386</td>\n",
       "      <td>1</td>\n",
       "      <td>11.5</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.80</td>\n",
       "      <td>1</td>\n",
       "      <td>2.30</td>\n",
       "      <td>(-73.9877243042, 40.7003860474)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      pickup_datetime  pickup_longitude  pickup_latitude  payment_type  \\\n",
       "0 2016-06-09 21:06:38        -74.016121        40.710899             1   \n",
       "1 2016-06-09 21:09:53        -74.008247        40.711269             1   \n",
       "2 2016-06-09 21:09:55        -74.016251        40.711048             1   \n",
       "3 2016-06-09 21:06:00        -74.003128        40.706345             1   \n",
       "4 2016-06-09 21:06:02        -73.987724        40.700386             1   \n",
       "\n",
       "   fare_amount  tip_amount  tolls_amount  total_amount  passenger_count  \\\n",
       "0          5.0        2.00           0.0          8.30                1   \n",
       "1         10.0        3.39           0.0         14.69                1   \n",
       "2         19.0        4.06           0.0         24.36                1   \n",
       "3         20.0        2.20           0.0         23.50                1   \n",
       "4         11.5        1.00           0.0         13.80                1   \n",
       "\n",
       "   trip_distance                         location  \n",
       "0           0.70   (-74.0161209106, 40.710899353)  \n",
       "1           2.02  (-74.0082473755, 40.7112693787)  \n",
       "2           5.56  (-74.0162506104, 40.7110481262)  \n",
       "3           4.20  (-74.0031280518, 40.7063446045)  \n",
       "4           2.30  (-73.9877243042, 40.7003860474)  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickups_brooklyn.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x10ca23da0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LAQoPGltEFB7Q0qa9ujZOzau3DkerN5G6/iDjB6gRsRnWx2rU8ti7mscGs5Wy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\ngIAAAEEQBAQEBAQkCIIgICAgIAAA+D9MridGg32UrAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1089d6860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(pickups_brooklyn.pickup_longitude, pickups_brooklyn.pickup_latitude, s=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def time_of_day(hour):\n",
    "    if hour<6:\n",
    "        return \"night\"\n",
    "    elif hour<10:\n",
    "        return \"morning rush\"\n",
    "    elif hour<16:\n",
    "        return \"daytime\"\n",
    "    elif hour<19:\n",
    "        return \"evening_rush\"\n",
    "    else:\n",
    "        return \"night\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pickups_brooklyn['time_of_day'] = [time_of_day(x) for x in pickups_brooklyn['pickup_datetime'].dt.hour]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pickup_datetime</th>\n",
       "      <th>pickup_longitude</th>\n",
       "      <th>pickup_latitude</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>fare_amount</th>\n",
       "      <th>tip_amount</th>\n",
       "      <th>tolls_amount</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>passenger_count</th>\n",
       "      <th>trip_distance</th>\n",
       "      <th>location</th>\n",
       "      <th>time_of_day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-06-09 21:06:38</td>\n",
       "      <td>-74.016121</td>\n",
       "      <td>40.710899</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.30</td>\n",
       "      <td>1</td>\n",
       "      <td>0.70</td>\n",
       "      <td>(-74.0161209106, 40.710899353)</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-06-09 21:09:53</td>\n",
       "      <td>-74.008247</td>\n",
       "      <td>40.711269</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.69</td>\n",
       "      <td>1</td>\n",
       "      <td>2.02</td>\n",
       "      <td>(-74.0082473755, 40.7112693787)</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-06-09 21:09:55</td>\n",
       "      <td>-74.016251</td>\n",
       "      <td>40.711048</td>\n",
       "      <td>1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.36</td>\n",
       "      <td>1</td>\n",
       "      <td>5.56</td>\n",
       "      <td>(-74.0162506104, 40.7110481262)</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-06-09 21:06:00</td>\n",
       "      <td>-74.003128</td>\n",
       "      <td>40.706345</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.50</td>\n",
       "      <td>1</td>\n",
       "      <td>4.20</td>\n",
       "      <td>(-74.0031280518, 40.7063446045)</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-06-09 21:06:02</td>\n",
       "      <td>-73.987724</td>\n",
       "      <td>40.700386</td>\n",
       "      <td>1</td>\n",
       "      <td>11.5</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.80</td>\n",
       "      <td>1</td>\n",
       "      <td>2.30</td>\n",
       "      <td>(-73.9877243042, 40.7003860474)</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      pickup_datetime  pickup_longitude  pickup_latitude  payment_type  \\\n",
       "0 2016-06-09 21:06:38        -74.016121        40.710899             1   \n",
       "1 2016-06-09 21:09:53        -74.008247        40.711269             1   \n",
       "2 2016-06-09 21:09:55        -74.016251        40.711048             1   \n",
       "3 2016-06-09 21:06:00        -74.003128        40.706345             1   \n",
       "4 2016-06-09 21:06:02        -73.987724        40.700386             1   \n",
       "\n",
       "   fare_amount  tip_amount  tolls_amount  total_amount  passenger_count  \\\n",
       "0          5.0        2.00           0.0          8.30                1   \n",
       "1         10.0        3.39           0.0         14.69                1   \n",
       "2         19.0        4.06           0.0         24.36                1   \n",
       "3         20.0        2.20           0.0         23.50                1   \n",
       "4         11.5        1.00           0.0         13.80                1   \n",
       "\n",
       "   trip_distance                         location time_of_day  \n",
       "0           0.70   (-74.0161209106, 40.710899353)       night  \n",
       "1           2.02  (-74.0082473755, 40.7112693787)       night  \n",
       "2           5.56  (-74.0162506104, 40.7110481262)       night  \n",
       "3           4.20  (-74.0031280518, 40.7063446045)       night  \n",
       "4           2.30  (-73.9877243042, 40.7003860474)       night  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickups_brooklyn.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['daytime', 'evening_rush', 'morning rush', 'night'], dtype=object)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.unique(pickups_brooklyn.time_of_day.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "times_of_day = [\"night\", \"morning rush\", \"daytime\", \"evening_rush\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "minimum lon: 40.648311615\n",
      "maximum lon: 40.7115974426\n",
      "minimum lat: -74.0235214233\n",
      "maximum lat: -73.9177093506\n"
     ]
    }
   ],
   "source": [
    "pickups_brooklyn_tod = {}\n",
    "x_tod = {}\n",
    "y_tod = {}\n",
    "coords_tod = {}\n",
    "min_lon = []\n",
    "max_lon = []\n",
    "min_lat = []\n",
    "max_lat = []\n",
    "for time in times_of_day:\n",
    "    pickups_brooklyn_tod[time] = pickups_brooklyn[pickups_brooklyn['time_of_day'] == time]\n",
    "    y_tod[time] = pickups_brooklyn_tod[time]['pickup_latitude'].values\n",
    "    x_tod[time] = pickups_brooklyn_tod[time]['pickup_longitude'].values\n",
    "    min_lat.append(min(x_tod[time]))\n",
    "    max_lat.append(max(x_tod[time]))\n",
    "    min_lon.append(min(y_tod[time]))\n",
    "    max_lon.append(max(y_tod[time]))\n",
    "\n",
    "print(\"minimum lon: \"+ str(min(min_lon)))\n",
    "print(\"maximum lon: \"+ str(max(max_lon)))\n",
    "print(\"minimum lat: \"+ str(min(min_lat)))\n",
    "print(\"maximum lat: \"+ str(max(max_lat)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for time in times_of_day:\n",
    "    coords_tod[time] = []\n",
    "    for i in range(len(x_tod[time])):\n",
    "        coords_tod[time].append([x_tod[time][i], y_tod[time][i]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df1 = pd.DataFrame(x_tod['night'], y_tod['night'], )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df1 = df1.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dft = {}\n",
    "for time in times_of_day:\n",
    "    d = {'longitude_x': x_tod[time], 'latitude_y': y_tod[time]}\n",
    "    dft[time] = pd.DataFrame(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude_y</th>\n",
       "      <th>longitude_x</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.694069</td>\n",
       "      <td>-73.983490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.651031</td>\n",
       "      <td>-73.958862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.684795</td>\n",
       "      <td>-73.977852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.688770</td>\n",
       "      <td>-73.980408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40.710583</td>\n",
       "      <td>-74.015366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>40.701664</td>\n",
       "      <td>-74.013031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>40.708294</td>\n",
       "      <td>-74.016724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>40.700199</td>\n",
       "      <td>-73.987724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>40.692009</td>\n",
       "      <td>-73.990685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>40.706020</td>\n",
       "      <td>-74.006325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>40.695148</td>\n",
       "      <td>-73.992088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>40.707130</td>\n",
       "      <td>-74.012016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>40.708073</td>\n",
       "      <td>-74.004425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>40.692719</td>\n",
       "      <td>-73.993073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>40.706966</td>\n",
       "      <td>-74.004860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>40.705341</td>\n",
       "      <td>-74.017227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>40.693211</td>\n",
       "      <td>-73.982864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>40.707691</td>\n",
       "      <td>-74.004562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>40.706402</td>\n",
       "      <td>-74.015923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>40.711239</td>\n",
       "      <td>-74.015701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>40.706501</td>\n",
       "      <td>-73.997231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>40.704720</td>\n",
       "      <td>-74.014511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>40.709839</td>\n",
       "      <td>-74.011490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>40.707798</td>\n",
       "      <td>-74.008179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>40.702827</td>\n",
       "      <td>-74.011917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>40.707088</td>\n",
       "      <td>-74.004959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>40.709541</td>\n",
       "      <td>-74.016182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>40.686901</td>\n",
       "      <td>-73.995911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>40.708870</td>\n",
       "      <td>-74.011269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>40.707672</td>\n",
       "      <td>-74.016937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105120</th>\n",
       "      <td>40.704021</td>\n",
       "      <td>-74.008598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105121</th>\n",
       "      <td>40.709084</td>\n",
       "      <td>-74.012482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105122</th>\n",
       "      <td>40.709679</td>\n",
       "      <td>-74.010811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105123</th>\n",
       "      <td>40.705490</td>\n",
       "      <td>-74.006866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105124</th>\n",
       "      <td>40.702888</td>\n",
       "      <td>-74.011230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105125</th>\n",
       "      <td>40.708710</td>\n",
       "      <td>-74.011749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105126</th>\n",
       "      <td>40.702278</td>\n",
       "      <td>-74.012772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105127</th>\n",
       "      <td>40.703217</td>\n",
       "      <td>-74.011200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105128</th>\n",
       "      <td>40.708282</td>\n",
       "      <td>-74.014214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105129</th>\n",
       "      <td>40.709160</td>\n",
       "      <td>-73.995056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105130</th>\n",
       "      <td>40.703735</td>\n",
       "      <td>-74.014519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105131</th>\n",
       "      <td>40.710232</td>\n",
       "      <td>-74.010529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105132</th>\n",
       "      <td>40.711430</td>\n",
       "      <td>-74.015022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105133</th>\n",
       "      <td>40.706970</td>\n",
       "      <td>-74.014198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105134</th>\n",
       "      <td>40.706680</td>\n",
       "      <td>-74.008980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105135</th>\n",
       "      <td>40.710911</td>\n",
       "      <td>-74.016220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105136</th>\n",
       "      <td>40.705292</td>\n",
       "      <td>-74.009758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105137</th>\n",
       "      <td>40.704857</td>\n",
       "      <td>-74.014702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105138</th>\n",
       "      <td>40.698486</td>\n",
       "      <td>-73.996941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105139</th>\n",
       "      <td>40.689388</td>\n",
       "      <td>-73.994797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105140</th>\n",
       "      <td>40.705460</td>\n",
       "      <td>-74.007027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105141</th>\n",
       "      <td>40.703724</td>\n",
       "      <td>-74.009064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105142</th>\n",
       "      <td>40.706757</td>\n",
       "      <td>-74.004738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105143</th>\n",
       "      <td>40.703091</td>\n",
       "      <td>-74.014397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105144</th>\n",
       "      <td>40.707550</td>\n",
       "      <td>-74.004150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105145</th>\n",
       "      <td>40.708000</td>\n",
       "      <td>-74.016129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105146</th>\n",
       "      <td>40.709087</td>\n",
       "      <td>-74.008873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105147</th>\n",
       "      <td>40.706715</td>\n",
       "      <td>-74.011528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105148</th>\n",
       "      <td>40.679539</td>\n",
       "      <td>-73.981430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105149</th>\n",
       "      <td>40.679539</td>\n",
       "      <td>-73.981430</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>105150 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        latitude_y  longitude_x\n",
       "0        40.694069   -73.983490\n",
       "1        40.651031   -73.958862\n",
       "2        40.684795   -73.977852\n",
       "3        40.688770   -73.980408\n",
       "4        40.710583   -74.015366\n",
       "5        40.701664   -74.013031\n",
       "6        40.708294   -74.016724\n",
       "7        40.700199   -73.987724\n",
       "8        40.692009   -73.990685\n",
       "9        40.706020   -74.006325\n",
       "10       40.695148   -73.992088\n",
       "11       40.707130   -74.012016\n",
       "12       40.708073   -74.004425\n",
       "13       40.692719   -73.993073\n",
       "14       40.706966   -74.004860\n",
       "15       40.705341   -74.017227\n",
       "16       40.693211   -73.982864\n",
       "17       40.707691   -74.004562\n",
       "18       40.706402   -74.015923\n",
       "19       40.711239   -74.015701\n",
       "20       40.706501   -73.997231\n",
       "21       40.704720   -74.014511\n",
       "22       40.709839   -74.011490\n",
       "23       40.707798   -74.008179\n",
       "24       40.702827   -74.011917\n",
       "25       40.707088   -74.004959\n",
       "26       40.709541   -74.016182\n",
       "27       40.686901   -73.995911\n",
       "28       40.708870   -74.011269\n",
       "29       40.707672   -74.016937\n",
       "...            ...          ...\n",
       "105120   40.704021   -74.008598\n",
       "105121   40.709084   -74.012482\n",
       "105122   40.709679   -74.010811\n",
       "105123   40.705490   -74.006866\n",
       "105124   40.702888   -74.011230\n",
       "105125   40.708710   -74.011749\n",
       "105126   40.702278   -74.012772\n",
       "105127   40.703217   -74.011200\n",
       "105128   40.708282   -74.014214\n",
       "105129   40.709160   -73.995056\n",
       "105130   40.703735   -74.014519\n",
       "105131   40.710232   -74.010529\n",
       "105132   40.711430   -74.015022\n",
       "105133   40.706970   -74.014198\n",
       "105134   40.706680   -74.008980\n",
       "105135   40.710911   -74.016220\n",
       "105136   40.705292   -74.009758\n",
       "105137   40.704857   -74.014702\n",
       "105138   40.698486   -73.996941\n",
       "105139   40.689388   -73.994797\n",
       "105140   40.705460   -74.007027\n",
       "105141   40.703724   -74.009064\n",
       "105142   40.706757   -74.004738\n",
       "105143   40.703091   -74.014397\n",
       "105144   40.707550   -74.004150\n",
       "105145   40.708000   -74.016129\n",
       "105146   40.709087   -74.008873\n",
       "105147   40.706715   -74.011528\n",
       "105148   40.679539   -73.981430\n",
       "105149   40.679539   -73.981430\n",
       "\n",
       "[105150 rows x 2 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft['daytime']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude_y</th>\n",
       "      <th>longitude_x</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.710899</td>\n",
       "      <td>-74.016121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.711269</td>\n",
       "      <td>-74.008247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.711048</td>\n",
       "      <td>-74.016251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.706345</td>\n",
       "      <td>-74.003128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40.700386</td>\n",
       "      <td>-73.987724</td>\n",
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      ],
      "text/plain": [
       "   latitude_y  longitude_x\n",
       "0   40.710899   -74.016121\n",
       "1   40.711269   -74.008247\n",
       "2   40.711048   -74.016251\n",
       "3   40.706345   -74.003128\n",
       "4   40.700386   -73.987724"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft['night'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dft = {}\n",
    "for time in times_of_day:\n",
    "    \n",
    "    d = {'longitude_x': x_tod[time], 'latitude_y': y_tod[time]}\n",
    "    dft[time] = pd.DataFrame(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude_y</th>\n",
       "      <th>longitude_x</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.710899</td>\n",
       "      <td>-74.016121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.711269</td>\n",
       "      <td>-74.008247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.711048</td>\n",
       "      <td>-74.016251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.706345</td>\n",
       "      <td>-74.003128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40.700386</td>\n",
       "      <td>-73.987724</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   latitude_y  longitude_x\n",
       "0   40.710899   -74.016121\n",
       "1   40.711269   -74.008247\n",
       "2   40.711048   -74.016251\n",
       "3   40.706345   -74.003128\n",
       "4   40.700386   -73.987724"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft['night'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.cluster import KMeans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([(-74.016120910600009, 40.710899353000002),\n",
       "       (-74.008247375500005, 40.711269378699996),\n",
       "       (-74.016250610399993, 40.711048126199998), ...,\n",
       "       (-73.986541748000008, 40.668949127200001),\n",
       "       (-74.009513854999994, 40.705314636200001),\n",
       "       (-74.016998291000007, 40.705440521199996)], dtype=object)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickups_brooklyn['location'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,\n",
       "    n_clusters=5, n_init=10, n_jobs=1, precompute_distances='auto',\n",
       "    random_state=None, tol=0.0001, verbose=0)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster all data by locations\n",
    "K_allData = 5\n",
    "k_allData = KMeans(K_allData)\n",
    "k_allData.fit(pickups_brooklyn[['pickup_latitude', 'pickup_longitude']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pickups_brooklyn['kmeans_cluster'] = k_allData.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pickup_datetime</th>\n",
       "      <th>pickup_longitude</th>\n",
       "      <th>pickup_latitude</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>fare_amount</th>\n",
       "      <th>tip_amount</th>\n",
       "      <th>tolls_amount</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>passenger_count</th>\n",
       "      <th>trip_distance</th>\n",
       "      <th>location</th>\n",
       "      <th>time_of_day</th>\n",
       "      <th>kmeans_cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-06-09 21:06:38</td>\n",
       "      <td>-74.016121</td>\n",
       "      <td>40.710899</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.30</td>\n",
       "      <td>1</td>\n",
       "      <td>0.70</td>\n",
       "      <td>(-74.0161209106, 40.710899353)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-06-09 21:09:53</td>\n",
       "      <td>-74.008247</td>\n",
       "      <td>40.711269</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.69</td>\n",
       "      <td>1</td>\n",
       "      <td>2.02</td>\n",
       "      <td>(-74.0082473755, 40.7112693787)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-06-09 21:09:55</td>\n",
       "      <td>-74.016251</td>\n",
       "      <td>40.711048</td>\n",
       "      <td>1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.36</td>\n",
       "      <td>1</td>\n",
       "      <td>5.56</td>\n",
       "      <td>(-74.0162506104, 40.7110481262)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-06-09 21:06:00</td>\n",
       "      <td>-74.003128</td>\n",
       "      <td>40.706345</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.50</td>\n",
       "      <td>1</td>\n",
       "      <td>4.20</td>\n",
       "      <td>(-74.0031280518, 40.7063446045)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-06-09 21:06:02</td>\n",
       "      <td>-73.987724</td>\n",
       "      <td>40.700386</td>\n",
       "      <td>1</td>\n",
       "      <td>11.5</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.80</td>\n",
       "      <td>1</td>\n",
       "      <td>2.30</td>\n",
       "      <td>(-73.9877243042, 40.7003860474)</td>\n",
       "      <td>night</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      pickup_datetime  pickup_longitude  pickup_latitude  payment_type  \\\n",
       "0 2016-06-09 21:06:38        -74.016121        40.710899             1   \n",
       "1 2016-06-09 21:09:53        -74.008247        40.711269             1   \n",
       "2 2016-06-09 21:09:55        -74.016251        40.711048             1   \n",
       "3 2016-06-09 21:06:00        -74.003128        40.706345             1   \n",
       "4 2016-06-09 21:06:02        -73.987724        40.700386             1   \n",
       "\n",
       "   fare_amount  tip_amount  tolls_amount  total_amount  passenger_count  \\\n",
       "0          5.0        2.00           0.0          8.30                1   \n",
       "1         10.0        3.39           0.0         14.69                1   \n",
       "2         19.0        4.06           0.0         24.36                1   \n",
       "3         20.0        2.20           0.0         23.50                1   \n",
       "4         11.5        1.00           0.0         13.80                1   \n",
       "\n",
       "   trip_distance                         location time_of_day  kmeans_cluster  \n",
       "0           0.70   (-74.0161209106, 40.710899353)       night               0  \n",
       "1           2.02  (-74.0082473755, 40.7112693787)       night               0  \n",
       "2           5.56  (-74.0162506104, 40.7110481262)       night               0  \n",
       "3           4.20  (-74.0031280518, 40.7063446045)       night               0  \n",
       "4           2.30  (-73.9877243042, 40.7003860474)       night               2  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickups_brooklyn.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['mediumpurple', 'gray', 'orange', 'gainsboro', 'ivory']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a265d0be0>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FQiG48M0yBq9yUUOYhsx4qTfEGALq92I3IaKEmnLI1uL1kbjc11ZnOYsdkX+S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\nxaIGQVEURQHg/2afZYElKkM1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a2509a320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import random\n",
    "from matplotlib import colors as mcolors\n",
    "\n",
    "num_colors=len(set(k_allData.labels_))   #it's the number of different labels except for 1 (the -1 label)\n",
    "colors=list(mcolors.CSS4_COLORS.keys())  #found this by searching \"python color list\"\n",
    "cluster_colors=random.choices(colors, k=num_colors)\n",
    "print(cluster_colors)\n",
    "x_=[]\n",
    "y_=[]\n",
    "c_=[]\n",
    "for label, x, y in zip(k_allData.labels_, pickups_brooklyn['pickup_longitude'].values, pickups_brooklyn['pickup_latitude'].values):\n",
    "    if label==-1:\n",
    "        continue\n",
    "    x_.append(x)\n",
    "    y_.append(y)\n",
    "    c_.append(cluster_colors[label])\n",
    "    #plt.figure(figsize=(18, 12))\n",
    "plt.scatter(x_,y_,s=0.55,c=c_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "K=5\n",
    "k=KMeans(K)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude_y</th>\n",
       "      <th>longitude_x</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.710899</td>\n",
       "      <td>-74.016121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.711269</td>\n",
       "      <td>-74.008247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.711048</td>\n",
       "      <td>-74.016251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.706345</td>\n",
       "      <td>-74.003128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40.700386</td>\n",
       "      <td>-73.987724</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   latitude_y  longitude_x\n",
       "0   40.710899   -74.016121\n",
       "1   40.711269   -74.008247\n",
       "2   40.711048   -74.016251\n",
       "3   40.706345   -74.003128\n",
       "4   40.700386   -73.987724"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft['night'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 40.71089935, -74.01612091],\n",
       "       [ 40.71126938, -74.00824738],\n",
       "       [ 40.71104813, -74.01625061],\n",
       "       ..., \n",
       "       [ 40.66894913, -73.98654175],\n",
       "       [ 40.70531464, -74.00951385],\n",
       "       [ 40.70544052, -74.01699829]])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft['night'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,\n",
       "    n_clusters=5, n_init=10, n_jobs=1, precompute_distances='auto',\n",
       "    random_state=None, tol=0.0001, verbose=0)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k.fit(dft['night'].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dft['night']['kmeans_cluster'] = k.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude_y</th>\n",
       "      <th>longitude_x</th>\n",
       "      <th>kmeans_cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.710899</td>\n",
       "      <td>-74.016121</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.711269</td>\n",
       "      <td>-74.008247</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.711048</td>\n",
       "      <td>-74.016251</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.706345</td>\n",
       "      <td>-74.003128</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40.700386</td>\n",
       "      <td>-73.987724</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   latitude_y  longitude_x  kmeans_cluster\n",
       "0   40.710899   -74.016121               2\n",
       "1   40.711269   -74.008247               2\n",
       "2   40.711048   -74.016251               2\n",
       "3   40.706345   -74.003128               2\n",
       "4   40.700386   -73.987724               0"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft['night'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['lavenderblush', 'greenyellow', 'lightskyblue', 'mediumorchid', 'royalblue']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a2557cb00>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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D6YzjcMAzXsJABD60FB3deZgEurKYS5FQEPgZxkxi6QxohuNCNrKZVyhnM6B5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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a265a1f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import random\n",
    "from matplotlib import colors as mcolors\n",
    "\n",
    "num_colors=len(set(k.labels_))   #it's the number of different labels except for 1 (the -1 label)\n",
    "colors=list(mcolors.CSS4_COLORS.keys())  #found this by searching \"python color list\"\n",
    "cluster_colors=random.choices(colors, k=num_colors)\n",
    "print(cluster_colors)\n",
    "x_=[]\n",
    "y_=[]\n",
    "c_=[]\n",
    "for label, x, y in zip(k.labels_, dft['night']['longitude_x'].values, dft['night']['latitude_y'].values):\n",
    "    if label==-1:\n",
    "        continue\n",
    "    x_.append(x)\n",
    "    y_.append(y)\n",
    "    c_.append(cluster_colors[label])\n",
    "    #plt.figure(figsize=(18, 12))\n",
    "plt.scatter(x_,y_,s=0.55,c=c_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude_y</th>\n",
       "      <th>longitude_x</th>\n",
       "      <th>kmeans_cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40.710899</td>\n",
       "      <td>-74.016121</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>40.711269</td>\n",
       "      <td>-74.008247</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40.711048</td>\n",
       "      <td>-74.016251</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40.706345</td>\n",
       "      <td>-74.003128</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>40.700386</td>\n",
       "      <td>-73.987724</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   latitude_y  longitude_x  kmeans_cluster\n",
       "0   40.710899   -74.016121               2\n",
       "1   40.711269   -74.008247               2\n",
       "2   40.711048   -74.016251               2\n",
       "3   40.706345   -74.003128               2\n",
       "4   40.700386   -73.987724               0"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft['night'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics.pairwise import pairwise_distances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dft_sample = {}\n",
    "dft_sample['night'] = dft['night'].sample(n=10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>latitude_y</th>\n",
       "      <th>longitude_x</th>\n",
       "      <th>kmeans_cluster</th>\n",
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       "      <th>77048</th>\n",
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       "      <td>-73.979469</td>\n",
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       "      <th>105461</th>\n",
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       "      <td>-73.995613</td>\n",
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       "      <th>45040</th>\n",
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       "      <th>121541</th>\n",
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       "    <tr>\n",
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       "      <td>-74.005363</td>\n",
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       "      <td>-74.011452</td>\n",
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       "    <tr>\n",
       "      <th>13539</th>\n",
       "      <td>40.705727</td>\n",
       "      <td>-74.004204</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>9869</th>\n",
       "      <td>40.705177</td>\n",
       "      <td>-74.007256</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>132380</th>\n",
       "      <td>40.710186</td>\n",
       "      <td>-74.010269</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97389</th>\n",
       "      <td>40.710716</td>\n",
       "      <td>-74.016792</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172857</th>\n",
       "      <td>40.686356</td>\n",
       "      <td>-73.974190</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>123101</th>\n",
       "      <td>40.710209</td>\n",
       "      <td>-74.009712</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>54050</th>\n",
       "      <td>40.693245</td>\n",
       "      <td>-73.987328</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163325</th>\n",
       "      <td>40.705742</td>\n",
       "      <td>-74.007111</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121942</th>\n",
       "      <td>40.691013</td>\n",
       "      <td>-73.996910</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95639</th>\n",
       "      <td>40.701893</td>\n",
       "      <td>-74.012878</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17378</th>\n",
       "      <td>40.710667</td>\n",
       "      <td>-74.015640</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165819</th>\n",
       "      <td>40.704288</td>\n",
       "      <td>-74.008881</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41465</th>\n",
       "      <td>40.708679</td>\n",
       "      <td>-74.015297</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109731</th>\n",
       "      <td>40.693726</td>\n",
       "      <td>-73.984390</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>123608</th>\n",
       "      <td>40.694355</td>\n",
       "      <td>-73.956039</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38831</th>\n",
       "      <td>40.702412</td>\n",
       "      <td>-74.011337</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154359</th>\n",
       "      <td>40.705303</td>\n",
       "      <td>-74.013329</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97493</th>\n",
       "      <td>40.681412</td>\n",
       "      <td>-73.958542</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102646</th>\n",
       "      <td>40.705219</td>\n",
       "      <td>-74.007095</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53278</th>\n",
       "      <td>40.710548</td>\n",
       "      <td>-73.965912</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164805</th>\n",
       "      <td>40.677780</td>\n",
       "      <td>-73.941330</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159120</th>\n",
       "      <td>40.711269</td>\n",
       "      <td>-74.016098</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102815</th>\n",
       "      <td>40.708160</td>\n",
       "      <td>-74.003326</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117360</th>\n",
       "      <td>40.705990</td>\n",
       "      <td>-74.009682</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58353</th>\n",
       "      <td>40.705471</td>\n",
       "      <td>-74.009605</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39052</th>\n",
       "      <td>40.708645</td>\n",
       "      <td>-74.006683</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3993</th>\n",
       "      <td>40.677998</td>\n",
       "      <td>-73.982582</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        latitude_y  longitude_x  kmeans_cluster\n",
       "43046    40.676224   -73.950012               1\n",
       "119235   40.684559   -73.978508               3\n",
       "87442    40.693974   -73.929947               1\n",
       "50343    40.702221   -74.012787               2\n",
       "39909    40.711269   -74.016098               2\n",
       "170711   40.684189   -73.977287               3\n",
       "83852    40.702881   -74.011673               2\n",
       "146655   40.711418   -73.946602               4\n",
       "168134   40.677338   -73.982971               3\n",
       "175393   40.685040   -73.954262               4\n",
       "105472   40.711182   -74.015594               2\n",
       "83915    40.704571   -74.010834               2\n",
       "183441   40.705776   -74.007042               2\n",
       "56221    40.710136   -74.012794               2\n",
       "107428   40.692219   -73.951912               4\n",
       "32135    40.705299   -74.017189               2\n",
       "185915   40.710312   -74.009422               2\n",
       "134314   40.703220   -74.011902               2\n",
       "11514    40.708275   -73.957581               4\n",
       "9812     40.711544   -74.010368               2\n",
       "106456   40.705330   -74.006798               2\n",
       "129703   40.704708   -73.939362               1\n",
       "103502   40.707020   -74.012299               2\n",
       "77048    40.665787   -73.979469               3\n",
       "105461   40.679134   -73.995613               0\n",
       "125658   40.704700   -74.016617               2\n",
       "92081    40.702633   -74.012466               2\n",
       "45040    40.667690   -73.980873               3\n",
       "121541   40.694138   -73.937218               1\n",
       "118857   40.672031   -73.962578               3\n",
       "...            ...          ...             ...\n",
       "69300    40.710178   -74.004822               2\n",
       "91702    40.705711   -74.005363               2\n",
       "56311    40.710529   -74.011452               2\n",
       "13539    40.705727   -74.004204               2\n",
       "9869     40.705177   -74.007256               2\n",
       "132380   40.710186   -74.010269               2\n",
       "97389    40.710716   -74.016792               2\n",
       "172857   40.686356   -73.974190               3\n",
       "123101   40.710209   -74.009712               2\n",
       "54050    40.693245   -73.987328               0\n",
       "163325   40.705742   -74.007111               2\n",
       "121942   40.691013   -73.996910               0\n",
       "95639    40.701893   -74.012878               2\n",
       "17378    40.710667   -74.015640               2\n",
       "165819   40.704288   -74.008881               2\n",
       "41465    40.708679   -74.015297               2\n",
       "109731   40.693726   -73.984390               0\n",
       "123608   40.694355   -73.956039               4\n",
       "38831    40.702412   -74.011337               2\n",
       "154359   40.705303   -74.013329               2\n",
       "97493    40.681412   -73.958542               3\n",
       "102646   40.705219   -74.007095               2\n",
       "53278    40.710548   -73.965912               4\n",
       "164805   40.677780   -73.941330               1\n",
       "159120   40.711269   -74.016098               2\n",
       "102815   40.708160   -74.003326               2\n",
       "117360   40.705990   -74.009682               2\n",
       "58353    40.705471   -74.009605               2\n",
       "39052    40.708645   -74.006683               2\n",
       "3993     40.677998   -73.982582               3\n",
       "\n",
       "[10000 rows x 3 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft_sample['night']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dft_sample['night']['coord'] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude_y</th>\n",
       "      <th>longitude_x</th>\n",
       "      <th>kmeans_cluster</th>\n",
       "      <th>coord</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43046</th>\n",
       "      <td>40.676224</td>\n",
       "      <td>-73.950012</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119235</th>\n",
       "      <td>40.684559</td>\n",
       "      <td>-73.978508</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87442</th>\n",
       "      <td>40.693974</td>\n",
       "      <td>-73.929947</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50343</th>\n",
       "      <td>40.702221</td>\n",
       "      <td>-74.012787</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39909</th>\n",
       "      <td>40.711269</td>\n",
       "      <td>-74.016098</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        latitude_y  longitude_x  kmeans_cluster  coord\n",
       "43046    40.676224   -73.950012               1    NaN\n",
       "119235   40.684559   -73.978508               3    NaN\n",
       "87442    40.693974   -73.929947               1    NaN\n",
       "50343    40.702221   -74.012787               2    NaN\n",
       "39909    40.711269   -74.016098               2    NaN"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft_sample['night'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sampleCoords = {}\n",
    "sampleCoords['night'] = []\n",
    "for x, y in zip(dft_sample['night']['longitude_x'].values, dft_sample['night']['latitude_y'].values):\n",
    "    coords = [x, y]\n",
    "    sampleCoords['night'].append(coords)\n",
    "dft_sample['night']['coord'] = sampleCoords['night']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([list([-73.950012207, 40.676223754900001]),\n",
       "       list([-73.978507995599998, 40.684558868400003]),\n",
       "       list([-73.929946899399994, 40.693973541300004]), ...,\n",
       "       list([-74.009605407700008, 40.705471038799999]),\n",
       "       list([-74.006683349599996, 40.708644866900002]),\n",
       "       list([-73.982582092299992, 40.677997589099995])], dtype=object)"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft_sample['night']['coord'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "coords = []\n",
    "for i in range(len(dft_sample['night']['longitude_x'].values)):\n",
    "    coords.append([dft_sample['night']['longitude_x'].values[i], dft_sample['night']['latitude_y'].values[i]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "diest = pairwise_distances(coords, metric='euclidean', n_jobs=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  1.34869915e-06,   2.96897977e-02,   2.67893913e-02, ...,\n",
       "          6.63833803e-02,   6.52897152e-02,   3.26181532e-02],\n",
       "       [  2.96897977e-02,   0.00000000e+00,   4.94653023e-02, ...,\n",
       "          3.74748971e-02,   3.70673158e-02,   7.72325383e-03],\n",
       "       [  2.67893913e-02,   4.94653023e-02,   0.00000000e+00, ...,\n",
       "          8.04839760e-02,   7.81263757e-02,   5.50063140e-02],\n",
       "       ..., \n",
       "       [  6.63833803e-02,   3.74748971e-02,   8.04839760e-02, ...,\n",
       "          0.00000000e+00,   4.31411725e-03,   3.85363467e-02],\n",
       "       [  6.52897152e-02,   3.70673158e-02,   7.81263757e-02, ...,\n",
       "          4.31411725e-03,   0.00000000e+00,   3.89887963e-02],\n",
       "       [  3.26181532e-02,   7.72325383e-03,   5.50063140e-02, ...,\n",
       "          3.85363467e-02,   3.89887963e-02,   0.00000000e+00]])"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude_y</th>\n",
       "      <th>longitude_x</th>\n",
       "      <th>kmeans_cluster</th>\n",
       "      <th>coord</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43046</th>\n",
       "      <td>40.676224</td>\n",
       "      <td>-73.950012</td>\n",
       "      <td>1</td>\n",
       "      <td>[-73.950012207, 40.6762237549]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119235</th>\n",
       "      <td>40.684559</td>\n",
       "      <td>-73.978508</td>\n",
       "      <td>3</td>\n",
       "      <td>[-73.9785079956, 40.6845588684]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87442</th>\n",
       "      <td>40.693974</td>\n",
       "      <td>-73.929947</td>\n",
       "      <td>1</td>\n",
       "      <td>[-73.9299468994, 40.6939735413]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50343</th>\n",
       "      <td>40.702221</td>\n",
       "      <td>-74.012787</td>\n",
       "      <td>2</td>\n",
       "      <td>[-74.0127868652, 40.7022209167]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39909</th>\n",
       "      <td>40.711269</td>\n",
       "      <td>-74.016098</td>\n",
       "      <td>2</td>\n",
       "      <td>[-74.0160980225, 40.7112693787]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        latitude_y  longitude_x  kmeans_cluster  \\\n",
       "43046    40.676224   -73.950012               1   \n",
       "119235   40.684559   -73.978508               3   \n",
       "87442    40.693974   -73.929947               1   \n",
       "50343    40.702221   -74.012787               2   \n",
       "39909    40.711269   -74.016098               2   \n",
       "\n",
       "                                  coord  \n",
       "43046    [-73.950012207, 40.6762237549]  \n",
       "119235  [-73.9785079956, 40.6845588684]  \n",
       "87442   [-73.9299468994, 40.6939735413]  \n",
       "50343   [-74.0127868652, 40.7022209167]  \n",
       "39909   [-74.0160980225, 40.7112693787]  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dft_sample['night'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import silhouette_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "silhouette_avg = silhouette_score(diest, dft_sample['night']['kmeans_cluster'], metric=\"precomputed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.58869079157411197"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "silhouette_avg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a25e361d0>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8kjMlTVw3XjmEmF1pG9x/tFF5VIOu0+f+WjE1wIHEeycPWYSDPX8Gh9l/d7aM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nq8CosIp2o6Zcy8rbTytyzGT4lGb+HJ5Ul8WdTO5eZeXrkth+KWPhDggXmJPPFpEYfKNEyLD6Bv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hlgL7pZRL7M4x0ios9gshAoFaKWWLEOJFwENK+bwQwgD0llI68iFYYezYsTI1NbWtIjrawJbc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\naPMOYgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a250b1208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(dft['night']['longitude_x'].values, dft['night']['latitude_y'].values, s=0.5, )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a25f1bdd8>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8kjMlTVw3XjmEmF1pG9x/tFF5VIOu0+f+WjE1wIHEeycPWYSDPX8Gh9l/d7aM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nq8CosIp2o6Zcy8rbTytyzGT4lGb+HJ5Ul8WdTO5eZeXrkth+KWPhDggXmJPPFpEYfKNEyLD6Bv\naASNzsgvPy/h1fUSQVx8kBdNPQYEEW7IDuNSUx/deiMvH62UydVsU7X20oq2xcNossiUySo3gclR\n/vTqDXxyvpGjVzq4Z1YMVzqk89xnhotNvbx9poGsSL9x3yc1TKq7//HWLIqbe9EZjHxxuZVbpoRT\nq+1HNyydnF9el0ZMkBcxQV6ssuOzPFPbxf5SDSKwNEXNprnxMgX1y7dmMTxi4ZkvSukzmHn/fDMR\nKg8ZgikAgiBw98xoBGBp2ugCOy0ugE1z41k9OZS1r56ie8jComQ1i9ND5PvetmDutzKwNvYO88Sn\nZby+fsq458LJSXD4aTuPB0va+KqkjX0l0neo72pAqzfwVYmErLKpmS1IVvPSLVl8WdRKdKDHOAoL\nm6m8XOR5iUXWAGBRqprDZRq552Gb6bCp1tn3KL64LPV8TN8wuf/3tu8dwr+wXW0orb7TUTxmVoI/\nTd1DNHQPsf14LTdmhfGjty/wg+wwarsGudjYy2brpKrtBt96bBRdsePWDEo1Q9w7M5b3z9Q6NGif\nuyEVBHj4w8u8cHMm/Xo91V2ODmF5ShCPr0jl0U+KaOwZdHAG3kpYnRvJprnxbDtWPY52AeD+dwtZ\nkqYmzMeNjXNiOVBqo7d2wd9HQXnLxFPKtqOY6JF6dI/EXWPD6r9/fnQS294ZPLwwni1HHPmeAOp7\npYX45lfP8tJNKcxMDCLIxw1a+3hg90W2rctmeZqaA6USBfTilGAOlXcQ6e8hv8eayWEcr9TS2Gvg\ncJlUZ2/sHuJCQzcrMyT65ef3X+HtMw30D43w1KpUif7Z2qzdfrxKVi3rMYgcr+wir7JL/r4HxwwN\nLkwOYv20aP789XgKC5MZjpZrUCoEXjtZZ2UTlU6eg/TnVUpr0+ICWJauZl+Jhni1p3WKeZSC2s0Z\nWbo1KcSLvxS2siwlmIgAD5LVXtR2DXLX9FicBIHy9n7m6owUNPZgskiRdJ1WT7f1vvv0UivLrbxO\n9nZtTAApIZ6Ut+tZOzVcbtLaB02b5iTQ3GNg05wEeb/8yk6ZvXVxSjDtfUMUtw4wI96fmEBPEgI9\n+OJyC0onBQuS1azIDKW6U8fOvBqmxU2cIcDEAZusr2GyyBnMRM+xbdZD+S1U/f6e9r1D+Bc2281l\nMJrYX9LGrAQJHfJvH4yqlt09PYqfLk3h3jfP0tA9RG3XoEzBbEOeuCsFwnxdOVjahlKhwGBwXGCH\nLU5sO1ZNQpAXKJywLRE/X5HEqsmRnKzuZOtt2SAwzhkA7LjzGl44UMGFhh7WT4tC7e1Ch87IK7dm\ns2pymPzgJKm9HfZTuTtxTVwgmj4DB6yojNwoP+6eGcNbXzfyzj3XyOyYx69oePfceAU2+Pbk2+un\nRUkPrpVa+U8n60gO9aXy2eXkV3aSG6Xi+QPlfFnchs5glhfKR/ZIulGBXi48vDBepm8osaJeFqeo\neWzpJIqa+4gNdB9tRgqj6KVT1V3yRPfg8AhfFrexr7gNtbWxf7JKKzN0iohsmhPHjjzHbC1K5c7C\nlGDMFmjp0ePjpuSL4nYZ364QBP58uo7tebVE+LnSbMdZ9W8fS6gxG2zVZLFg8wi7zzRwuq6HcD9X\nNsx2VB2z2ZnaLg6UasiNVrErv46cKH85us+NUpFX2Slnah9faOGu6dHkxvjz8IeXZCbRoWETb56W\n0FVNXYMcLO9gy9rJbJobz/pp0RhHzBy60sHC5GAyw3353VfliCI8tFCCZr5xqo7ydonmo7xtABel\nQo7IbYttQWOPrLWwKFUtZTEWCy/9IJNyzQAZ4X7sKWwCBjhWoeW2a6Ilqm5RymJetZaydhyvlie2\nr2ZfFbXwyEdFvHRLJmtyIgGsZTgFD340qtUwUdl3QYpahrl+l/a9Q/gXNZmwC3jow0sICNw/L54d\nx6sddF4tosDLR6o42zBae58e583p2gFC3KF9SGr0/vyz0qtSSR8olZrIey420mstByUFu/P8/kr6\nh8zszKvht2vSefwv4zH8G2fH8sXlFhKCvFg/LZoDpW1oBoyszAhlSZo0EWqLkJ5dnYarAoYtkq7q\nioxwdlux+GpvF/w9XSho7KWwsZfX1k8h3BptL0pVTyjd+W1sbmKAXOvX9A3zyrocmczMzdmJWQlB\nDhHc06szWJgSQrS/O0u2nHDIPrQ6I8/tu4KPm5L2/iGM1gtRpennx+8XoBkY5hefleHp4syh8g6H\nCVoLo/QeNVqD/Jqmz0hcgCezEgPJjVKxbZ1E/GayWFAIAuunR3GmVkt5u57ZCYG8fboREZHl6aF8\nermNjbNjOV3XRVFzP4fKO1g9OYwH5ydwc064TGWuADbMjiUj3HdczR3gGesQWEvvMKdqtCxJC+Fg\naRtlrf1snp8oi9LcOyuOXSdqWZqqJjdKJdfIAQlean0/EXjzdAO50SoZbZQV6ccfj4xSgKs8XViY\nEsyF+l7ePl1PcogXiWovjlR0cKSiAxc7biabQP2mufEcLmvjikaPl5tSlsMcGzS9cPNk9hQ0kxul\noqCxhwffkxbnqTEBbHq3gJRQqVzaMWAgN0rFxjnxxAd6UNulZ1pcACMmC0tSQ0gIujqDLMD+Yum5\n2V/cLjsEmwOy0XTbjv+boKzflX2PMvoXNRu6aEV6KCszQlmZGcp1mWHsL2und3A0Sr/c3Edho2MZ\nZkGSmuKWfllW0cUJfnVdKl16I5oxQwA/W5LIA/MTudjUy5XWXoas4XZGmB8rMsO4d2YsudEqXjx4\nhb4hx1g8zt+VwxVa9pW0c7Csnb5BI819w6i9XXjn3mkyeiJC5UFisCe/319BnxWd9MptWfxwegwg\nYjKLVHfqEUQJoZQZ4cPPlibLGrhPf1Yic8gDrM4MobpDP2GpaKw1dA+hQFqkarR60kJ9qO8apL5L\nz9N7SxEEgTXZ4WRF+smcNJveLWB2YhALJgWyv0xDuK8Lw0YzZiRtA4PJwvFKLSVWioveIRN9gyPy\ngigg8FVJO0tT1NRoR2Xm/N0UDJlEbsoKwyya6R0c4aON10rZihUtdPfMWBLU3sQEepEZ4csd02L4\nuqaLmk49Ib5uPLo0iaWpaiJV7igVAo9bqZPzKrXckhvGnTPjMFlEOnTDfGHt1YhAYUMvN+ZEkGiX\npRlNFg6VtmMWR8V83JUCZW0DPLO3jHMNPSgEgRkJEtLmdK2W8/U91HZKFBa2Gvm9M2MZHrHQpxug\n1yBdlbmTAhgctvDayTpSQrxZkRlGRdsAl606HMUt/dR06rnU3IsgQLS/B6/m17JpThzrp0cT6eeG\niMC02ACaeweZFR+Ir4czr5+spXfIRFP3EDH+HmRE+FGvHWTze4V8VdxOdpQfey+3sq+0ncauQe6Z\nFYvZIuJjdSCRKnf6DSM0dg/RMWCksWuQjy40kaj24dX8WrIi/dhX0s575xo5UKohLcyHhGDpnNmg\npZkREjnesMnCwTINMxMCGTaZifL3lFhRdxdyfVa4w7n+/23fo4z+l5t9mmnDR790qJI6rVQOclaA\nxSLRGoxdGM9Uax1Ix4xmiV7C03V8vVI/bOZcffe42n58sDc782pk5ERD9/g6fn33MEtT1YiihYPl\nneiGJQ+0IiPUYfrSaJIWBs3AMIGeSq7LjGBeklrCoC9LoUdn5Mm/XGZoxEJelZb110ZzsLRdan4O\nm+UsAmBmvD+LU0OYnxzCc/vKaB/4Zt1i+6zoJ7sLMQI71uXwo9lxbD9eTXKIN6ussw325/3oFQ1O\ngsAvr0tnVkIQrxytpKS1V54EtwfejthfBJOZzfPi2DwvkdItR2nuHcFFgP2PzKeopc/hmuZXdmKy\nZhr2mHR70rTpcSoOlGqYOymAZemhHC7TyFnjjbk97LD2g45d6WRJmjRjsGG2ox6VmxK6dMPc/04B\n/3FDBiovFwdKZ5t9UdyGySJlFE4KQW4e51d2ctf0WOq1epakqFmUFirfGzvzanjrdL3Dec6r7CIP\nKTM7UKphTU4EU2P9eeuMRMoXpXIjPsiLMD8POgYMRPl7cPfMWAaNFvZebuNgmQaFIJAd5ceFhh6U\nihK2rcvh7pkx/OqvUgnvd18WU6PVsWFWvIxEmhYXwDHrXMSsRH/O1Hbxan6N3DMRRcfnZX9pOw/M\nl5waSPvnRqn4ukbSc7DfeGdejdx7e3RpEp6uSgTgrTMNvHu2URYH+mcm1/zeIfyLWY/OyFOfl/Ds\n6nSHlDK/spOddmI3FlHgN2tS+e0XpejHFNErx0BCPV0E3j1dy1hwkKcTDI1Y2FPgWJsPcFfwyOJJ\nTI8PYM6kIO7809fjjnPLDzKp7NTxap5EhxAX6EmtVk9coCc/XZIsLyLT4gL4yQeFXLZCOX3cXHj7\nTD0dumF+f1OmrPvs5OREXlkHKzNC8XJ3ZvNux4UKIMgZBkck3QY/dyW9Q/816U6AYaTexZtf13K2\nTiqz/fSDi8QFerDteK3DeV+QrHbQyX1yRSpGk4WPztez5UgNPTrjhFxN+yo6oaLTAbFlFCU67zfu\nvlZ+zZaNPHdDBlOiVfxoliPhme3vmdZBrDdONbAmO0qq3c+JY5LaC8OIGV8PZzr1I/i6KenVG5gc\n4TtOGGnIBE/8pVgihVMIbFuXw7S4ADbMisVoFnnTyjY6bIad63Ic6BjskTMHSjUIgoJFaaEyqmbH\n8Wo2zIlFNzQiw58BZiUE4O6s5KmVKbxwoIJ7Z8byo1mxvH6yjsYeA409BhniaRtus13yuEAPHlow\niRnxAfzysxJCfV3p0RnJrxgdzNMOiWw/XotCUMgoocNlGnaflwKIExVaXl6X69gzEUX0RhNPfVbC\niAWCvJxlGU1bAAQSIeKytBBMFossLGQbNLP9XJCiZkmKmgPlGjLDfZkWF/BPT675fcnoX8guN3Yz\n/8U8Kjt01HbquN4q8m40Waho6+dSUzcDw2bCfSV+eE9XJXuL20kP80UzMExSsAferkoERAx2LKEj\n5okJ2UZEJGrgLkfW0cP/Ng8fd2caugZp7hpg6/F6h7+X/HopmVEqpsYEMEntRYCHK3Wd/fQZzPxq\nVQqZkSq55KU3GPnLJal04aYU0OpHyIryI79KC6LI5EgVj358mf0lbazICOXZ1ek0dOkJ9XVDbxim\ny87bmQRBJtIz/I0p0ih/JX1/g8rCYBIdCPnMwO5zTVR16NiVX4uXixMdA8PEBnoR6uvOtmPVcpnA\nSSGQHOpLonVg66Ov6xj+lsjBuq5Bthyu4u2va1maGkJsoBeN3YMMm8x8UdyOq7MTmRF+clkiQiX1\nUCZH+ZFXqaV3cASdYQQnhYKnvygjLsib33xRTpfV03cPmThY3kFbn4GEIE+6Bx0jgN/fmIEARKjc\nyQjz47UTtbyaV8vlpl6cFci9qWVpalLCRnUJgr3dGDGZ0Q+b6B00cr6hh1PVWtyVCgaHTSgEBY8v\nS+GrUg1VHaMIuMbuIVZkhFLS2s/WY9U4OykI8XXhuJV25KbsMGYkBDI53IfcGH9uzA6jqmOAfoOJ\nnsERov3dWZYRSoVmgJ35tTT3DMlCPDZbka7myRWpsvOKUHnQNzjM5eZ+NsyJY3KkHwlqbyaF+DAp\nRPrZ3jfMZ5ckwMWUaH9unhJJhMrDqjUtMiM+EEEQ+PB8E/tK2smM8CMuyAsXpYIZCYHyZzkpBAQB\n9pW00zEwTHaUn8Pw6Hdp35eM/hfaLbvOTFgXt4fNAbT0GfmqqJUlaWq2rJ2MyQwVmgHSQr156INL\n4xrHzoqJHcKi5EDMIhyrcOQFCvJx46VDlbyaXzMuSo/2wUE+0c3ZiXfONiAiiZivyJScmC11fuXo\n6ECZ2tuVX16Xjs4wwqXGXlLDfNiZV8OXVnqBl9ZmkV/ZyU8+uIxZFMfxrhjN37zyPjg/geQQrwm5\nmAA8nGBpeihl7f1UaPTj/i4yqpEc4C7QZdUO1fQO8Ye1WYAjHHh6UjD7yztIC/WitE037v0msu5B\n84Ta1buOVfPeuXq69SZqOwZYkRnK9uPVZEaMLs5HyjU8tSqNnXfkkhulwiJa8HFz5sUDFYyIcPvU\nKLr1Bg6WdXDntGi5RAMQ4OVKUogPW49V09Y3zIHSdpalqdlXqiEryo9z9VLG9FFBMzMTgnjjVB2b\n5sByFlEAACAASURBVMZz/IrGQV0NpN7VI1YuJRGJOuXZ1ekOjfTZiQHE+HsAFhanBNM/NMIbJ0az\npkNl7QyOiA4KZ012QkhmUcRospCs9mLzvDg2zIpncXIQv9t/Bc2AkbhAd56/OcuhPOmiVODpKiG3\njld0ckNOhEMTXWcwcb6+i/QwT0pa9XgoBTkDsPEm7bwjl4cWJpIc4k1pa/9VZxGkOQwzi1KCiQ64\n+szCP5N9nyH8E5ptXN820t6jM/Lox5dZmhbMmboektTuvHRLDrvya+XopFqjo7pTh4sTzEzw5/AV\nrTV9F9iRV8P66dGUtfcT6ulKxZg5havNvtRqB8dlBxtmxTBssvDrvWUTOqe+YakOOyXGnyGjmc8v\ntXJDdhg9gyO8edc1+Hg4A1L0FKHyoLJdaiT6uDrx0cYZ5MT4ExfkRWaEHwtS1GRHqVAIAk8uT8Hd\nxYlgbzdELDgrBBrteLmfuyGdSJUb3bpB+gwTR/8PL0xg+/EaVk0OI8TbhcKm8cNtVb9bybKMUNZO\njaJLJ9EY2MzHRcGwndOxr0iVtQ9Q0NDNgMHIO1838tCCBFycFUT6e3CoTMPkSBV7Ns3A2UlBYWMP\nm+bGUdDQ860a3zYzI5XwAKo69USq3Cls7OXhhZNGSyoWMz9elERckBenqrU8vbcMbzdnrmikax7i\n68aNuRF8VdzOxnlxcmMZ4PGlSVwbG0BTl54FSYGsyYlg/fRYlE4K+g0jcn+qoXuQ5p4hdp9tRCEI\ndOgMnK/vITbAnTA/Nzp1RgI9nbk5J4IfTosiIdiL++cl4OvhzOnaDlp6JOBCY/cQh8s1HCjvoE6r\n53Jzn8Mg1nVZoTy8KImVGaE4KQR+siARURQxWSxoBoZZf20U+0o1PPtVORtmx5MW7ktymC/vnW2k\nd2iEnkETOVGqcVF5VqQfDV2DHCzTkBHuS7C3m5x17cyrYUdeLR1WxEW1dpC0UB8S1N5EqDxk2m8X\npYLaTp1MBZ4wQYP42JUOHnzvIjVaPZcae8me4Fi+K/s+Q/gXNvsIc86kIO556zwXm3pZnBLM6+un\nkBnuy62vnaFWq8disfDw4iRWZoYQG+jB5vkSW+T2Y1UYzRbeOFnP/XPjKG3tZ0derRxVK4D5ScFE\nBXhgNJnlASebTVJ7Mmw0MzBsontwdOV77WQ9JrPI5AhfGREi7xPowpzkMHbm1ZAe7sPey218WdzG\ng/MT+MvmmQ7bGk0WXj5SxbvWCFU3bKa6U0+MNfWeFhfAy0eq2DQ3Xq7/goR3HzstfWNWKF6uSv58\nuhERCHB3omtofPU+IdhbPqfL0kN5/VTDuG0Wv3iATx9YiJebkhnxQXxwvpkNs2L56VKJMfOrolbe\nPV1HYVM/vi7QY9ezPlHVxQkrhPVScy8iEO3niggcKteQ/ewhFk4KxMVJYGmqGoWgYMfxalQeSrR6\nkyxn+m1MqYCCBomG4bUTNXg6gd4MMQEe8pyDDd54bWwA9V0DlLbqCPZ2lnsfYyPWze8V8OMFkzhQ\n1sH+Mg27fjiFgsYedubV8MJNGQ60Hg8vTCA6wJ2EIA8QYVlqMAfKOuRsRasf4Z2zjbyWNIXHpkbJ\n+3m5jBLu3T09BhdngV35ddw7KwazRaReq6dGq6exe4gAT1e5DyEDGOID+fPpBh6cn4Cbq9JhHsDW\nl9p2eza37jqNr7szKSHjF2ovNyW/vymT2EBPueltawbb2FX3l7ZSa4X/nq3tkmlDHEyQEGP26mn2\nw2hzJgXx8m1ZFDf3kRjsSWFjN9PiAr5TOuv/qv3zHtn/YbNhp1t69Vzz20tyczTa30Ni1NySJ7+W\nGubDXwoaeeLTUp67IU3GX+dE+2MYMaMQpEXv7hkxnK7u5JI14nVXwpGKDlZYedvtLSfCl0LrYu9q\nV5dxE8AgMk6e0WYHH12M0WRhWlwgJrOFfcVtTIlWce/M2HFTm0evaNhxvIYNc+LICPNBaUXNgPRQ\n/ezjy+wrbcdsEXncSl8MEq+MktFhs2S1J59dakM/YuEPN6Xz/vlmChon5jtSKgSmxQXw9F9LHZBJ\n9lbVaeL5fVdwUQqcb+hGFCE7SiWXFdbkRLAmJ0I+zqPlGtr7B9l+rJakUG8WpQTzmy/KsbUwGnod\nYbxHrPXx1dtPMyvenxdvzqSwqZe3zzRiGLHwhxuS+dmnUklqUXIwW27N5tm/XuaDwlHtB6UgCbVf\nsH7P6s7RLK6kfZDUX+4jJsCVau0wv79RonwO9HIFdDT3DsmNzcNj6u364RFyo1T8aHYMiMhN0K23\nZVubrqP22J4iHpifyMZ3CuRBOYEOipv7yI7wIyvKj9woP4drml/ZyfykUY6s3Gg/lqSHMjUmQEZM\nvXOmkRduzuBQeac8TTwWmfPCzZnsK20nxt+NbbePNrhtze0lKcFWLephNr57gS8emiMft+04dENG\nadgy0IOEIC+Wp4Vw78xYmV11w+x4lv0xD82AkTdPNzAzUfps+yG3Bclqtt2eLb+v7b62TaovSw9l\n1eRwVk0O54UDFeMa3Fezb6uT/v/Dvi8Z/ROa2SJNh/7xSA0GkwU/dyX3zIrhxwsnseGdC9RaU/fM\ncB8eWjCJB9+/iN5oplY7yJ0zYuSG7arMUKIDPNmZV4OL0om9duWBG3PDiVJ5sr/UcVFQewq8d99M\n6rv0uDiJaHSjjUczEBvo4TDnYLOMcB9cFAJJoT4kqr0J8HTlQkMPBQ09TInxp6Fr0Dr0482ZGi3P\nfFHG0IiFDbNiWTE5jIRgb5nxcV9xG68crZbU0XLC+exSK7tPNzArIZBn95ZSakef8MSyJA6Ud1DT\nqSch2AuLcYRKrWOZKzvai5wIFbddE81Tn5ew52ILf8tKW/q40NSLpn+YzHAfHlmcRH5lJyp3l3EN\n5AS1N1lR/myYE8+NORFkRaq4PjOML4taiFK5E+HjRrtuYuhrY88Q+8s0cqZlEeHQFS1Jane69CZq\ntXqp5BHsw14rt81v16SxLE1Nx8Aw02L8aekZJDvS16EJbkHqQ4CEznn5cBX1VhK8hq4hegYMzEwM\nIjrAk6LmHhqsf+seNOGkgNfy6ylo7CEj3JemniEsosiD7190KG8tT1Nzx/QYJqk9ifb3YMPseLIi\n/VB5OHOgXIPFYuGhhZPkaNh2Tzo7OVHdKWkaX58VRlKIj6z4ZyvJGE0i245XIyJybazklGzbOCkE\nXjlaLc22lHewKjOUpFAJZWXbP9LfXb6v3Zyd+EFupFwSOlWtZdO7BSBAVYcehQK2H6+lulPHFGu5\nEsDdxQmFAvIrtfwgO5w7psdQ36VnRXoo85KD5WOp7xpk8+5CmRG1WqOTe172ZaTMCD9AJCVEmiG5\nmsKh/bkay2D8P7G/e8lIEAQn4ALQIoriKkEQYoEPAH+gEPihKIrj7nxBEDKBVwEfpHt1qiiKBkEQ\nbgN+jtRzagXuEEVRO3b//2umM5h45MNLsni9QoDPNs8kxnpjbL89h1t3naG2S09RSz9vnKqjY2CY\nUB9X3rnnGmA0osqNUnGxsYcfzY5l/bRoPr7QhMZKxfzh+RYWpwSjcoFuu6u2/5FFqLxc+O2aDGY8\nd0R+ff20KLzclOwcQ5dgs+KWfh7dU8yl5j7cnBUU1vdQ2NzHijQ1JouFWQnSMZnMFp76XJIpVLkr\nJ0zFbeL2IJXPbGIiJa/k0WInV/bk8iSuz47EzVlJWXs/USoPtk9wfJcbdFxEh4jAvtLxKmtjzR6s\nahZFWR9gflIQh8o7qGgf4Ldr0vn1X0tYkqZmRWa4QyQXE+TF+V8uBSSYcPazh77xM+2tQjOEl4uC\nCJU7vfphlmWEkW0lDnzjZD31Wj2CIKB0UpD/2EJUXi78ZHcBnxdL381ebxnGT5+/dbaJik4d6WG+\nXJcRRl7lKFQzNcRHnoZGkCLirbdns/32HE5Wd/Du2WZ8XJ24c0asFTSgZNeJOnKi/VmWEcpr1qZw\nUUs/v/isiOdvzmJnXg33zoyV78lIfw8sokR8Z4usYXQ69+nPS7CI8Gp+HRnhvuMU2J5dnU5r3xCX\nGnsxWUSHiNpGR3GquouPC1tYPz3KoST00MJEdt6RS2a4L4Kg4FerUrk+qwdExs0G7D4jlVELmno5\nU9slTzTbX+uJ1NLGUk4YTRbO1HaRGe4ncTu5KP8m/5HJLPEc/SNmFf4r+chPgHK7338PvCSKYiLQ\nA9w7dgdBEJTAu8AmURTTgHnAiPX1PwLzRVHMBIqAB/9b3+B/kfXojFy/9aTsDDycBU78bL7sDACC\nfd3Y/8gcdt6Rw5ZbMunRDRMb6Mknm2bIVA5Gk4VLTb3szK/m1RN17MqvY1d+DZqBYYK9XFg3VRqj\nP1Te4eAMQBJjN5os3P3WOez1673clDy8KGnCBvTC5CA8nKVb6d2zjbx+sp7C5j4yw31YkRHKg+9d\n5Extl5Rmp6h5dnUqam9XPt08c8KU2DYINCcxgJKWXm6dGkFcgLuDMwAI8HDGaLLg5iId25unqse9\nlwJYkhrMxtmxLE0bL54O8NjSRBIC3Sb8W2uPHu2AgQ2z4+TvfqhcI02+lmp4+KMiHn6/UGYdHWv3\nv3/e4XcPpXRMod4uRPtenedeZ7RwRaPn0T3FpP/6AEXW8lCtVs/KtBAmR/pyoaGHpz4vwWiyMGwH\ns1W5O/HJxmtRAG5XecLP1Pbw+sn6cZKh//55MScqOsgI92VPQTPXxqj43ZdlHCht47hVbKl/2MwP\nd+XLMpj2C+KOdblW5BAsSVHLi/Ebp+pYlKpG5eXCNbH+/OlUPT/54LJMvwKjYk8tvaMZ3rna7nEC\nUCovF9bmhiECOsOw3HOzvZeLUkHvkJTF7r3czr0zY3lwfoLMGLsoVU1RSx/7S9p4+0wDC5LVsgCO\nvb1zzzXEB3py3+zocd/zamYvdmOzo1c0bHynAJNFZMvayRwrb2fBH47R0j04bn8bIaBSofjOy0Xw\nLR2CIAgRwErgdevvArAA+MS6yVvAmgl2XQIUiaJ4GUAUxS5RFM0gs956Wt/LBylL+D9pRpOF3Wfq\nuPZ3h6m1UhlkR/px6vFF8iJvby5KBcvSQ6nuHGT3+SZqtXp+8uEojFKOiERYnhaCQhAoaJIWlE6d\nkfaBYdLCvAl2d3zfh+bHs+ndAg6WtlPROlqWmZmgYvO8RKo1/Yy1i08tZscdU3jm+nSyI/y449rR\nBqJSIXBNrMQDnxnuK4/2r8mO5OwvFjk4OnvzclPi7uJEflUXjb3DHLvSgcrDZdx2j+4pYfpvD/Cj\nty+w7WgVFR2O09I/W5LIxrnxHCrvIDtKhW54Ym3OQ6WdzEgInvBvPUMWnvi0hB15NcxO9Cc2wIOZ\n8f54uirItCqhfVWqcRgKtKlqfXC2gTN2etReTtJg1671Uzj9i8U8uWoyAJPGXAgf5/HHYe9u9pa2\n4+IkEOXnis4wwvP7r3DoyqgqmX7YzJTYQHatn4IJgZ135LB5ruNQ242Tw4kNGH9vdQ+Z2X2+mTvf\nPMeh8g5O1XbT0GPg00ttDmR4TQOixJi78yQpId48v/8Ka3d+zew/HEHbLy10759voq1vkEBPZ46U\nt/HJ+QaMJgu5USoWp6q5e0a0Q2PbtrCvyAhHbZW6LGrpc1jsbU7jg/PScvFhQatDlK4zmHjhQAWh\nPpJi3+XmPgoae3h0aZJDM3fOpCDun5fAzrwa8is7xykP6gwm3j3byKKUYH7xWZkc0IxdpMc6o4nM\nZLJIWtiiyJV2HbvPN1PbNcidb54bt+0/epL525aMtgCPAbaiWADQK4qi7T5tBsIn2G8SIAqCcAAI\nAj4QRfF5URRHBEG4HygG9EAV8MB/8zv8y9jVmkVvfV3Hb63YdoAlyUFsvWM8l/tY2zQ3Hp3BxOWW\nXn53Qzob37lApJ87980ZnZh0USp48cAVXj1Rx+KUYJyA/XaShvZ2x7QYMiNVfHG52WEBum1qNCMm\nCytecdTjvSkjGJWXC4fLNDzxabF8I2dF+PHe+UZ2rsvl6S/KuNDQw43bT9JsFThp7tKx5fbccefG\nRu28wMqn3zdo5K+XmtEMGGV1MXtTCsh8TH88Oj47GBoReWC+pExlslh46vPycdtEqty42NzLxeZe\n1k+L4u0z45vNNrGgvZfbqesapM4KxV2cEszG+FgQR6dTAZmV1DxG/3BxWiihKncyw3154UCFTI5W\n2eE4Ob7tjlz0RhGdwcT75+opaBrviM9YdYobe4fJq9IyOdyLyy0StHTYAlXt/Q6Ly7L0UE7UdFHc\n3E9GhA//eVsWPTojD39YKJP7Abgo4Ae5EWyen8iD71/kYtPEDXqblbfrufPNc1R3js5s2NzG2foe\nztZLx6nVj/DonhI6dMO8dKhKnnvZV9LKkrRQHlowibIWqQT08EejwU2ItytTZkRzpkaLpn+IN07W\nUasdJCVEOnc3ZYc6TP++fKSKrceq2Tgnls1z42Sdh7FmP1k8LS5gHAW1BD+tQSHA5r/BapobpWJp\nWoijiM4YUyoVKAQBpfUz+4eMnKzS8tbd10x4XP/ISWZB/AbRTkEQVgErRFHcLAjCPOBR4G7gtCiK\nCdZtIoGvRFHMGLPvo0gL/VRgEDgCPAXkA/uB+4Ba4BWgXRTFZyf4/Pus2xEVFZXb0DAxwuUfbd8G\nGbDfKt/38tos3FyUTIsL4PNLTfziszJ5m7mJgWxbl/uN0DT7zwO4dddpWRbRplZls2e/KOX1k/Ws\nnxaFu7MTQ0Yzp2s1VHU6RswxAe7EBXpxtMIx2tm5Lod//6yQDrs5LX9neP620VqpjYbiTG2XAxfP\nV0WtvHy0Ws58bOahVPDosiTumBaDi1LBngtN/PQTSaPg9fVTZBTMfW9fGFcDvyk7lJrOQbp1Bhp7\nJ476b58ayc9XpnKySuLjWZ4czJcTOEIBCZeeG63ivtlxXPO7I+O2mRToSVSAO4vTQqjq0FHVMUBe\nZRd3T4/mnbON8iJiuyaZ4b48+slladp6jDkJAsvSQ/iyWGIi7TeM8OXlNvqNjjDZ+udWyv/XGUw8\n8sFFOQsI8FKSGuqLAsir6pK1Fsbaqcfm4+yk4L63L6Dyckbt48YH55v5/Y0ZrL1mNJO7+82z8vDh\n2inhLE4Nla/rV5db2FvUSv+wifP1453D9Hg/rssI51B5B03dOuq1QzgJklMK83XF192Z8vbRuRel\ngEMp0mYrM0Idhta+rSUFe+Du4szNueG09hq4a0Ysb5yqZchooqF7kB69kVumRNLUM0RikCdXNDrM\nZhEEgdaeIY5UdLA0LYRnV6dT0Ngj37s6g0nSbhbgxwsmXfV5/P2+K+zIq2Hj7FimxgZM+Pzb0GgI\nTMgm+12YIAgFoihO+abtvk2GMBO4XhCEFYAbUnlnC+AnCILSmiVEMHHJpxnIszWLBUH4CsgB+gFE\nUayxvv4R8MREHy6K4i5gF8CUKVO+Y8npb29XE6uxN8OIBYsIz3xRSoduPFLnFyuSuHNG3IQ31Fhn\nY/95AJetkdzilGDWT4vmhQMVsryhkyAhGopa+rjU1MfmeXHjnIGNa8iGRrHZbVPD2bS7cNyx/sct\nOXLD0TBs4mC5Bp3ByE8/LuL+eQky/8ujnxTxws0ZvHCwkmY7JMygycIzX5Tz2cUWArxcKLEibWL8\n3Shs6CY3SoXJYpFginYOKsRbSX6lFq1+5KpDXYcenk2onwc782okDQcY5wyuS1PT0DdEkKcbRyo6\nmB7vz48/LJjw/Sq1eiq1eo5WaFmaFkK0vyfQBQIOzT/bNVmaFjKhM1g3NZLpCQHMjA8iNtDzb05M\n6wwm2bl6uSlJDPGSHcJtU2N4dGmSAx/UHw9d4bUxcxV3vnkOPw8XLrU4zos88Zdi4oM86B0yMy0u\ngNmJQbJDOFDcyp7CVvk+XpMbyZrcSA6XabjYWCAPjimB6udWcrhMqo9bRBHrbcbW23Ioaull5/Fa\nHluaRElrPzWdOhQINGp1VHUN4QR4uQk4OTmREe7Lr1alEuPvzrYxoIDcaG8KGgYI9pI0NMZaRYeU\nrV2y3j8KhQJnJydePTM6OV3UUjZuP5u5KwW+LG7DaDKzMDmQNdtO0KTVyZknQICXCx39Rpq6BvnN\nmnQHAsIktTcCEvjgas+/i1IhqejZwVH/We0bHYIoik8CTwLYMgRRFNcJgvAxcDMS0uhO4PMJdj8A\nPCYIggdgBOYCLwEtQKogCEGiKHYCi3FsWP/L2dVqf/aLeYUVLjmRM5ibGMAGOxUn+/2OlmvYtLuQ\nnCg/3lg/FZWXy7jP27YuB5PZgs5g5LpXTqDRGRkxmfnxwkmICGycE8e9M2N5+0wDgV6Ol312vD8v\n35bL1mPVfHi+Hp1xdKm1VxKz2eLEABakqGXU0MMfS5G9xSzKdVkbXfTOO3IxWSy09RlYkaZmzqQg\nPr/cQkF9D0aLhEaxt45eA9vzamnoHmJfcZtDdhDh5yLrRAMT6jd4O0FiiA8vHKhg67Fq7p8bz4Kk\nQA5fGV2gJwW5sNeKXFqa4s7meXHEBXhMKA9qs1A3yE5Q81XJKErpza8bcLdqJhy9opFVsK6NCcAZ\ngc+KHWOk9y80MT9FaqzaFOL+fVUKr+bVYDKb6RoczRJ25tVI/6wLzIZZ8dR06In0d5dLHfblhRnx\n/g4OIdzPhbfuvgZnJwW37PrawdGLwA9ePYsAzE8K5IgdNUn/sMj2O3LGzQ9Miwtg623ZPL7nIn0G\nkUBvqdExZ1IQ29ZJCmAIgoP2MwK4OSt5alUaIBHL2XQrzMCsRClTyq/soqilT1bSUwjw6f3T6dSN\nWHUVqjGaLNR36zlWoSXYy4W7Zkbz0flmQlWu6A0WbpkSQWuvQT43BqOJck0/Ve06Ns6Lo6N/mIp2\nHcfH1PqHrOnK4fKOCbMsgBcPVjJs3a5r0CgBNqzXxc1ZgSBAnVbP7AR/3jpdy9aj1Wy7PZvy9gH5\nPBY29GIRRT4+38SF+m7Sw3wlvY3EIIes+h9t/5PBtMeBDwRBeBa4CLwBIAjC9cAUURT/XRTFHkEQ\n/hM4j3QffiWK4pfW7Z4G8gVBGAEagLv+B8fyD7extT+ZuthikeFqD8xPQNtv4OMxOPi4ADe2rM1x\neM0hA7BGXoWNvTz1uUTzO/bzbLTH9hGnWRTlAa/laSH4ebpw78zYcTDIr2u7KWjsYXl6MG+cGo2s\nbr8mgih/D57bX+mw/fNrRz/faLJw9/Qo/ny6kcVpISy1Rj+2oaZpcQFsOVzBguRglqSFsiIzlFuv\njbaWk1rYcrjKQVJz0LrC51VoHBb7rAhfdv1wCo/vucyZui6GRsQJxXx+tSYTkGr6I2YLTR16B2cA\nsHleMuUaHfWdeg5f0fCDqVM4Xz9aR782zo+kQB/ethteazPASm9nlqUEU6bpp9FK970jrxaFQsGO\n4zWIiLy8Nottx6vGOYOfLU4kPthbXiBsNeqEIE80A0Zmxgdwqmb0GFZPDpWdKkjoryNXOth6WzYn\nqzrHlR/ufvuivO9zN6Rx67Ux8u8HH5nHy4cr2Grn8EQgN1rF0TE8VRbgQHEbewqaCfBw5XSdlobu\nIe62CvH0WfUM2gdGuH7rCZ67IYOdeTVkhvmSE+2PyWRmy+EKNsyKd4Bf6gwmChu7eeGmdKo6B8kI\n82FmQhDRAe6khkh1/twoFZp+A4UNPRwq75QdorPSiVdP1LEiTY1CgGdWp6N0UtDUU01jzxC7rCL1\n9kHUU9el8cKBCk5Vd1PY0MdLa7M4WNpGfmUnd86IBlGgvksHgkCMvweTI1UYRoy8faaRMjvOKSfg\no/umsbeofVyGAFK/a3n6+HLXnW+eo75rUM7gXz9RiwhStlvRadWRlvoTtu9pG877RzqHb+wh/DPZ\nlClTxAsX/nvKWN+12aYmt96WjdJJmsLt1RuZ8/xRDGNI2LbeKvUU7G+EsT2Cr4paOFiq4bc3ZKLy\ncpmwjKQzmHjx4BUuNHQT7O3G4pQgnvhUSpedrPJ/759rcKAguCknjPlJ0mKd9NQ+hzKMkyCQFOpJ\nWasj91FWhC/XxvnLtVVbb2T77TkOBGCLUtVypG6zZ65PYf2MUS5+ncHErz4v5i8XW/8mr8+5JxcS\nbBUrb+ke5MbtJ9DoHKGecxNUXDc5ghrtIA/MT+DlI1XsOuEY9W+eG8vDiyX67e3Hq0gN8WFJeihf\nFbXyyEeXuXdmDA8vTuJkVSfP7y2kdnw/d/TzEgNwd3bimdUZFDZJWPailt5xmYYTcO/sOFJDfXBz\nVrAgRVq8Ht9TxJfWae6xvEYRKldOPr5IPke2Y1UqFWzeXYiAdD0Xparp6DM49D4uPrUYldd4VBbA\nv39azNtnG8kM8+ate6Zx9IqGV45WUj+BnsW3sbEzDzabEafilinRlLX1Ex/kwbbjNTR2D6EUIFHt\nxbpro2jtNbBhdjx5lRq+LG5H7eNKS+8QSoWC367JkBdeo8kizzLY6vyAAwjBRalgf0mbQ1lGZzDx\n+J4i9pe08arVOf2tBde+B/SLzyQ47vM3TZ7wXNpfk5kJQezMr6ZPb+RUbRd+Hi7sXJfrkCEcLGlj\n14kailoGyAz34Z6ZseMyhG9Tdv7v2t+zh/C9/TdsrIBNR5+BuX84JjuDYC8Xjj46nzO1XRhGTNz3\nzgU2zonnkcWTcFEqxmUAKzLD8XKTbswXDlSQHOLNwx9ecrh5ztR28c6ZRpkdUukk3fSZ4T5Mjw+U\naBv2XnY4zj2FrYT6enBNjNFxEjU5kNVTomT5RID4AGdquka41NzHpeY+3jvbiKtS4P0N09m+LgdE\nCXWxaW68DCeUInUzb56sw2iR0u9gH3f5QfZyU/Li2mxeXJtNVXs/N+04jW7YNC76X/Sfx1mWrkbl\n6Uple/84Z+AJnKzpJc8mTmMROVziWFO/JtaHx5anOizGG+fEUdzaR60VJTMlRhJNefD9i2y5JYsH\nP5i4xq/2dpHRORWa03x433SKWvq4a3osBQ3dspYCSOWRXSdq5ahw1w+nMC0ugFBfVxanBLM0QtBK\n1wAAIABJREFUNZhbp0Ty6J4ieZ/BYcfy0fbjtazMCOX3N2Xy8tosytpHWTbXj9GjeONU3YT0CEaT\nhcutUq1d7euOysuFm6ZEcl1WOHe8cYpzdZL383ZVoBu2IAIx/u7EBnmSV6GdMCO7mhP/uraH07Xj\nyftMIpS36+ThxNoO3YSoN5PlMqsnh7PlUAXrro3mcnMPc/5QR2aELzqDkUWpoSgVUgZ6sLSdouY+\nBo1GzKLI2ZouFiRL99ZLa7O4ITv8W8E47RfktVOj2PRuAQWNPfLzZR+E2a6JALy2fgpPrkjlhQMV\nNPUYWJ0VQbi/hwNk3M1FSVGLVDJePy1apj8BHLSd7aU1/xH2vUP4O9rYqN12I/XojCz8z2MMWTHO\nTsCnm2fi5SZNLO4vkdLNV/NqyI1WTRgd2Dcsvyxu4/658ey8QyIoO1ymkcm0bK9lRfqhGzJyoFRD\nUUs/JS39ZIT70NQz2r9YkRRETIg3m+bGs+wPBxw+7493TKW8tZdWK1TU20XBvkcWcbCkjUvNvXx8\noYk+g5mBYVj/p3P8Zk2GLJJi09G1iZ8/uSKVm3MiuOXV0zyyeJIsFG/LKOzRSUVPLyXmiS/Hff/+\nYTMfFVx9VGXd7DgEQboGb52up6a9l9oeR+TOn+6cLp/L/SUSvYDJLMplsuVpIbKqlq33cTWbkxAk\nl/7quiSJxktNvdw7M8bBGYDExFqrHZQzhDmTgnh+fzmvn6wHpPr1a+un8Nq6yWzYLTnswWGT3Fi+\nd2YsdVo9+4rbuCE7HDcXJbvy6zBbRIwjZq5oRktuCxL9HSCw9vbXiy2yENGilNG5CxelgvXXxnGu\nTnJ+umEL982JJSXEB6VCwGQRSQnx4cuiFhqsTKVeLgK50QGE+bpT1t7PmqwwfvtFuQxXvjErlJkJ\nQVRodMQHebD7bOO4fhFARIAHP5oVI58Lmx2r0HK8QitpEpdqZJTaqZpuTtV08+D8QXbm1XDfnFh2\nHK91cDxvnm7AbBF56ro0B2U57cAgT3xaxgs3pbMsI5ztx6qYpPbGzdmJnCgVb31di5erE9H+7kQH\nejn06GxkjDuOV/PqD6dIJHiiRS53AeMEcuxtzqQglqeFsK+0nRrtVQbSJpiE/q7tey6jv5P16Izc\n9eY5B0pqkPDgs58/5kCb/JvVqRhMokxvHeXvSWqYDyszRnlSxpqNp+WOa6NxdlKweV4CyaE+sqPI\nCPclUe0tC3VEqDyo69IzPGKmvmuQAE9nDpW0Yhd4UtczRFakHyerO8mvHUWivHN3LnHB3sx5/qgs\nivLlj2cR7OPGpBAf5kwK5vrMMA6XtePsBLt/NI2WniHMFpHcKBUxAR7syq8jNcxb1psN8HJl07wE\nUkJ9SQ3zZmVGKAiw2Ypg+vXeUkZMZv58opLaLoPDsXTrjeiHTRhGLBNGpJHukFfTw8XGXu6ZFUuo\nrzt7LjnWdDfOjmFhaoh8LjMj/Fg7JZJd+TW09w+zOCWY6yaH8dAHl8iK9GNRqpoAD1feOVXrKH9p\ntZbuAa6JDcDTRSDM152tt0kKY619QxQ0ODoEV2cnnlqZSsfAMDMSAjlVreVUtZZarZ6YAA+eXZ3G\nghQ1P/+slNY+6bubREAU+fXeUpycFDy5PIXsKBVzJkkcRGaLyM68Wi6OYZzd+9Acjld08NGFRk5V\naR2I+f4fe+cdHkd5rv3frFar3nvvvUs27rJcsME2YDDd1FDcaAmEhCQnkIScEE4SCHHDlBCCsQmQ\nAC7Y2MaWC822JKva6l1aFau31e7O98fsjnZ2JWNqcr7j+7pA1mp2dmb2nXne93nu576f+GeJLF1i\nJwjY20ljz04l4OfqyItHJ1JdRY19xPi78us95ewv10o2lYKKYVMDQV68H0erunloURw/X55MVrgX\nb59soN80wCq1Q6zMDiHM25krUoO4cXo4oZ5OlDT1MjxuIC3EnYxQT36+LJnLIn2o7x5C2zOEziil\noZ6+JomlKYGcH9Jx0/RQjljUOu6dG8kDC+Mk7SQne/aVtRPp4yx3JwOcaekjw3QfmrWBKjuH6B0e\np1I7wOn6HnaeamZfmZbdJW18VNpKcesgo3oj7xW1EOXtjN4o0tA9RLiPC3uLW/j1ngouT/LjnnlS\nf0//8Djl7f1kh3vL13hMb5R1lyxl7JG+TgTg8aWJsp+4GZbS2hfSOfq6uCR//T3jF++Xcqqhh2kR\nXnLe82+f1PLbvecU2z19TTK+ro6s+fspmZ5p7jy+EMxyFDOjfWRKp+WqwFo75fkD5xS6Pl1W/pjB\nDnDd7BhFft+M1BBvNn1chZkaf0NOCHGB7optQrydOfqTRYBUL/nRP85IBclyLb6uGgyiyKjOVoLa\n8lx1eqO8ogFsjsXPSUVWhC9/SwhUMFSsMaqyJ9jTjoUJfoDIy8eVZi0a4MFFyhSK3mhkzRunZLri\nNRnBqFWCgkb6y38WM2x7CgD06eBYtZQyEoBfvl8GgoidqFxVzIj0ZH9ZO1G+ksjg2vnSNY/ycWZR\noh+/vjqVHSebyEs0svnWbEUtIDnYXWZtpQa7yylAgNQQd567MZ3j1V28UzCxcpJSGdWyzEb9+WGi\nfV25f1407k7S7R7m5chH5VoOVnTIdYg/HVASB9JDPAjzcuRPN6RT0TZAUpA7fztRS9fwOB6OAk9e\nlcqN0ydy5IOjekRBOr4QTweeuDJZatizyIk7qFVoB3XcOzeSaRHePLCjkNONPRQ19bLfQmRRBAI9\nXChq6qWgsZfsME8uT/LHKIpclR7C4uQAeUUJsE2jJifci1tf/oSK9iFc7AX+a0Wy/PeZ0T7cNy+a\n8tZe6ruGqT8/QsN5Jb3aUpV2YNTAgzuLZBrtttun8ZHp+A5UdPJZbTd6g1FOJ6oEqeHs8beL2Fem\nZfNt2SxMDOCFQ1Vsza/h+Zsy+cepJpmKvCondFJq6mSklO+7wHwpIHwDWHbXPrkiGVE0ssREuXvn\nVKMiGAjA22tmMC3KF53eqKBnXkwByVKgKzPMU3GjWb//aGUnLx6tkwt+7g4q+q109t/70SJeOVHL\nzTkh7DytZD394v1SBWviyatSL3hsZt33V47VU9jcS5eJL76/TMuy9OApB7TlTXB9dgibDlcrVgCd\nI1Ku/7mbMqd0m1IBnUPjwDivf97E65832WyjF5ClB8Ccfpvorbh3TiRqtUqxZO8Z1LHLSh7aGhGu\ncHlGJK+cqOfQuckpi3+5JYeCph5Gx/TcnxvFPXOi+LCkjZquIbxdNOw42cTGwxKt0voyeTja8dAi\naSasNxoVfScPvFnIM9em8U+LYPDrq5PwdnbgTzdkUtraS9P5ET4q0yKipbpjQA5gsf5uXJUerOji\nPV6tpGMWNvdS1NzLhgWxvHKinrXzYyg05cD7RkV2nGxS1Cm25tfIfSYtvWM42ttJ3s4W9aQPTeJ7\nDd3DTIvwltz8jEbZwP7DkiZqusYIcpMIFub3jRsMHKjoYP38aFwd1RyvkvR+rMd/brw/Fe113DYr\nUsGy+qy2m635NYhIfTrL04JMqTAobZVWc6Fejmw8XEPX4Di3zQhnWrgnFdpB0oInGFBQzBITdfrj\ns1rsBIGlKf5yzW5vmVYiBIrSGDN7NZS19svBwMPRTuHDPBW+ywLzhXApZfQ1Yc4p/mpXObuL28iJ\n8CIlxJMNOwr5+Gw7Oy34++bC09x4KW9rpxKYFun9lZaI6aGeqASBtfNjiPZznfS9g6N6/rj/LE09\nw9w+M5IV6YFcnRHMgwvjeM3CwyAp2JGBUZEt+bWUtg0oPufuWeEkB7vLvrYaO2RzmKlgpxKID3Rn\naXIg1R0DuDpIzUYfn+ukumOQ6RFebMmvkWWjJ8PKLSdsZLWnRXhxrLKT9FBP/naijtJWZQ56VrQH\nO++bza6iFjmVYY1ob/jlVRmoVAKB7k58fFbL+cERjlV3YTBCgKuGtFAPrs4IIce0urNTCdz1yme0\n9E2krvY+OIcPC5uwtGLu08HtlwUR6uOGu6M9UT4uuGkERZ9Ja98oKcEebNhRyKn6Hqo6BhnW6ega\nHOfhhdHcOiMSlSBgFEW2HlWyk94rauPBhXFE+LhQpR0kzNuZ67JD5e//1RO1tPZPzGwTAz34zZ4K\nOgZGefqaNK5MC8JgMDIt0ovOwTHZ/W5xoj+vnKhnZVYoET4ufFjcSlX7AK39E+fr76bh6oxgon2d\n6B4cJ8rHSZahcLMX+MstOZyo7pLTnumhnlRpB6nrGuLeuZHcOiOCE9VdPLWrjMwwKXUzrNNzsKKD\nubHe/H5/JZG+rvx6dzk5EV7cNisCUYQjlV08tjSBnEhv2aM4K0xyzUsKcuOBHYUsSw/i6owQxfjv\nGdTxzqlmFiT68fCiBMU4C/Vylh0Fl6YEcm9uNPGB7iQGSenP3Hh/DlZ0cqSyi+VpQfzuunTa+sf4\nze5yVmaFEhfghpPGjuUZwSQGechp3vgAV3QGkcuivJkW6Q2iyJ2zI1icHEiQhxOC6X69LMqb3qFx\nOgZG+dGSOB5/p+RLpa2/7RTSxaaMLgWEr4GeQR03vfgJe0ramRvjTVPPCMszgpgd48vuohbZsERA\n6prNjfeX9VLMN5BZ/93ytQvB0sDbTiUQ7eeKwSgqrDZfOFTFlvxaChp7ifV35a45UQR6OPHUrlKq\nLHQnhof1PHdTFp/Xdcs5ZTPmxvnx7P6J9MF1mSEsSZ1cJdQaJ6q72HS4hqdXprFhQRzVHZI2fGFT\nr8m0XGREZ7Q5355BHa8er2VYZ8ReBfsfnsf8eH8eWBgn583XvGHbLb3v4Tx83RwI93Zmd0kbzgJY\nt/xF+HjQOajjLyatoyc/KOPg2U4MRtDYCXg423PobCf2dipumxWBwSjy+z2lfFAysTq4e3YETho1\nPu7OdPX3YhEn2F/RxZmmPhrOD/Hoknh2FTYxoodQN4G58QH8dmUacQFuGAxGTjX0UNs1RJcpYKxI\nD+Kj8g7umRPF2LiBMG8nzjT0Ktg8GaGS3eOGNws5VX+e+u5h5sX60tY3isFolG1AfZ3suHF6OB+W\nttPWN0pzzwhujmp+vbucpCA3DpS2My5CUqALv1+VKQe/o5WdrNteQEu/knY6pDNQ2trPx+e6aO8f\nlYMBgM4o+V9seLOQsXE9fSM6qjuG6BvWMaDT85urU3FxUFPTMciydOm+OFrZyec13ZS09pMa7MGD\nC+NYmRUi91rYqQS2Hq6mumsIRzsVKzInpNHMYz/YU8rFX5cdSmKQu2IM/eitIvaVawlwkyxCLWGn\nEshL8EclCKzPi510UhLr50phUy//syodd2d7mweyta2tnUrggzOtbD5Sg0oQyEv0Z06cH/GB0nEd\nreyUg2FikDvz4v2I9XdlcVKg4pzlazrJ/s21iG8DlwLCdwSd3sitL31KqUkNdFSnZ35iALdMD+e5\nA+c4WjORVz786HxiTIVey+KveWZwMUYYZoXQyWbX1u9PD/WUZ4QbFki1iRcOVdnYY46LoDcY2F+u\nTHPcOzcSTye13CAV5uXES3dOv+gcprXn7Px4P1SCwM+uTMLB3o44fxfWv1nI7jOt1HcNS7Mq4I5X\nP6emcxhPJzU6g8i8OD9ZWTLUy5mX8qv5pPa84rNWZQRToe2nZ1BHboI/2eFevHvGloWUEuzB/nIt\nV6QE4OemkUXhnNUwaoD+UT1B7g788YZMnDR27Cpq4bcWjXg5Ee4sS5OKzacaerh9Vixf1CuPxQm4\nYXo4f/+0jo4hqejQr4MDP8rDSWOHnUogI8wLg9FIYoAbKpXAjy+Po7pziE1HamjuGWHTEYlnnxTi\nxglTascOuDI1kNmxvqSFuqM3iOwtbae5Z4Q/H6qSHdMAfNw0RHo703x+mIxwD5anBZMb74cgCLx0\nvF4ujHcNjjM90pvFyQEYjCI1nYNkhrnzSU23XHdYGOdNfJA763JjWJLsR1XnoM3qLdLHmVP1PZxq\n7GVfaTv7ytopbu2nd3icwsYeAtwdWf9mAVdnhNDcM8LaN04zMKanZ3gctZ2Kny1Lko1vDEaRD0ta\nKW7ppb57hLvnRtLRP0aolzMjOoM8/j+r7VasOCyhNxjZX6Zlw4IYEoOU9S5QTqgmw5b8Gt4rasXB\n3o5pkd42+Xvre02nN9I3rCPS15l1kwQZ64ByoLyddW8UkBbqzpKUQJsH/XdhimOJS0Xl7wgfn9Uq\n6HNz4335Z2Eb+0rbZEaOSoCPfzRflne2NL2YiiZqfs16YG06XM2W/BobK0mwlctwdVTzxPJkxTZr\n58dwoqaLQitbyb9bqXo6q+DV4/WK2eniJP+v5P9qXRhzdVTLeebHliawz1SXqOsepu7Tet4vamJg\nzCDbTf5iWSKeLo4Kqt+D20+yv8JWF8jLzUHmgf/PqlQee7dU8fekACc2LExArzeSEOhKcqC7oqdg\nWA+pwW6oBIHytgFON/aQE+7FU+8XK/Zz96xolqQE8cLNAmWt/aydH8P2E9UKL+VhYPtJ5fV8blWS\n/O/BUT2P/qOI/eVa0kLcKWnpx9/Fgd9em4ZKpeKeOVFcmxWC3mjk9xbByAA8sKOQjbdkMTpuQG80\ncu/cSDbkxXFlaiAP7JjoTm7qGeMZ08quZ2Sc/MpuMkPduT4nlEA3De0mtdi7Z0cotJc2bC/ASa2S\nvwMAHzdn/ufGDPk7cLRXU9Tcq6CGxge4ct+8KJKC3FDbqdAbYNuxGsrbBkgMdLUxedl6Ww5JgW48\n/FYRm2+17cq37LA/WtnFobMdbL0th6KmXjYersZgFMkI87Dh6Q+O6tmaX8MdMyPYsCCWxcnK1ax1\ng+dUhdo7ZkbwWW03d8yMmDR/b10POVrZySP/OMPW2yYXorRRLRVBlP5ng/+UHgT4agY5lwA2X+jH\nJjMbczBQq5TBAJSmF2b3raOVnfKgsXzNGinB7qgE6ac1JjPjmGybyyIkad5Z0RMSvdaKk8NGW12g\nC0n6fh0sTApgUcIE/71nZCIYRHg5cEVaiOJ8Pj6rtQkGwW5q1CqBzDBP7p0bxZKkAP57lzIYALy9\nLhdHezWPvVtCdrg3S1KDbAZ7aesAxS39qASRYA8H7nzlE3rHlBdGbWoSXJERLAfkHluNNRu8cbKN\njr5RDpZr2Xy4iv2mAnWJaTJx4GwHr3/WwGNLE3AxPVBmRPpwx8xwxX6evzEDBPjhP85woKKDoqY+\nXBzV7CqcWPU5AVE+zvx8WQKBbhr6TGY9Rc39/OL9cjkY2KvgiWXShMFsbrMuL5ZBq/rLvrIJQoH5\nwTcz2lexzaNvl/DS8Toc7dU42qtZlh7EjChv+RzXbS9Ab1L5/Kisnd6hMZ7eU8FLt0/D00XDvtI2\n9pW0odMbyY33Iy1kYnxfnuQv+zibzW0SAtzYsL0QBBTj3Uy2+NXucrbm1/BZbbfiOC39Ci7kXfD6\nZw2caujh9c8aJmXuHSxvZ9Phag6WS4VxS1fCP+w/x+Co3sZTwRJz4/xYnxfL3DjbB77Zh9n63P4d\nuJQy+grQ6Y3UdQ8xLcJDLrqOWjxZfZzsGBkXmRPnp1j2WS4fI3xcbIpFFyogBXtKxanrc8KmHCzW\n+UdLfFjSym/3nGVpsj9HK7svKA9hjWszAogJsA1EXxd2KoFFSQGMjOlluqcZfaMGPqmS1ESdNHYM\njup58M1P6BlWHvHcOH9+tCSexcmBnG7oYcfJJkasqKELEnxZlhZMtXaAcB9nrs0KxWAUae8bpqZz\niOwId1otaIYGEbZ/0aTwjwZYmhLAhgVximv69K5SzkzSYGWNtr5RTjf28PKxWrLCPckK9cTFUUXj\n+RFCPR24LitMphyb0wV2KoFXjtehFiaCs7NGxb3zYojxdaFjYIyipl7SQz157tAERffpa1P47+sy\nuCzKh5svi8BgNJIS6Ia/uyMt54fkycqsGC9unBYupy/0RiOBHhoFxx/ATSOyJi8emBibOeFe7Py8\njjEDRHo68Lvr0xW9JGkhHrT2jlDQ2EvHgA4VEOHrzK92l/NhaTv7yzuo7hyksXsYFwc1694oYE9J\nG+mhnsQFuFHV3k9Rc5/JazmE8rYBfr27HKNRUgjW9o1Q2NQ7qVexShB47PIEBSnADPPxp4d4sPlI\nDevzYlmcHGBzn5hrCD+7Mgl3Z3ub/P2fD1ZR1TmIgMCKjGA5x7/pcDUbD1ejEgTG9Ebuf/0U1doB\nRFEk0tdVTnkNjo3z9J6KSdNdU/kwf5u4VEP4DnD4bAfrtxfgpLGnqkOp75MU6MreR/LkIqjlYLIs\nEE1WTL5QAclcnEoMdOODM60XVUuwxHuFLXzR0MOiRH8ui/LmZEMP1oj3c8FoNCiCG8CuEi1/PV7L\n4kR/fFwdvvL1mgwatQq9UeSDSfL97QNj7PyigcMVWv7r/TLOWwWDSG9nTjX2sDIzhLgAN1w0Knae\nbLbZT+P5YURR5Dd7KzhV38OY3sjv9pZzoraHdXmxPHt9JjE+zlR39Mpm9NaI9nHglukRJAROFC/r\nOwd59O1iRFA8tK0xP96Hhu4RNCpYnh7E3z5tYFqkFz1D49R3D9M/auC2GaG8dLye6RFetPSNsCw1\niOuyQ6nvHuasdmJsVbQNsCY3ho6BMdbmxmBnp2J5WhD7i1voHTUQ6enIe8XtxPm58MGZNqZFerMo\nKYAFSQH4udrzlkV39wfr5+GksaNaO8ju4jZON/TIsteWGNFDarCH3FDV0D3MWycb+aJBCuIGEX59\nTRqtfaPMjvElM8yTmdE+nKw/T2FDL/fMjeK+edGsygkjLcSDpSmBBLg7cqaplw0LYlicHCg3J5ob\nMXuHx9lXpuXeuZGEejnzq11lXJEaxI6TTZxu6KGgSaLA3nxZuOI+MdcGnDR2k95D5nvr8XeL2Vva\nLtk0Oqjxd3PkaGUn/m6OfFyh5cX8GvKrumjtG+XySQLGnBhfmntG+O3KNEVTmTX7r6ZziL2l7XxY\n2k5GqCe7i9vYeLiaSB9n7suNmXTSF+7jQnqo55RNqd8GLgWE7wDm2cZN08I4fK6D88PjeDjaMTvG\nh223T8fDYmYx2axdpzdyoKyd98+08NQHZYqO5i/7zDPNfTKjYXastHzvGdTx2NtnuC4rBEd7O1Zm\nhdgEiwwTZW/DgjjmxPlxorqLtj4lo6R3RM/tsyI53WhrgDKmF3njs0bONPYwP87fpsPyq2JwVM8H\nZ1q4KSeEKD8X7p4dyVNXpVDfPUTXwAj9Y0Za+kYnXcmYO1FvyA4iyNOZOb8/rPi7hx2MmdK0q2eE\ncU1mCMFeTrx0rI6e4XGifJz5041S8bi5d5S/fdqEACxL8qfKysCnZ8TAR+Vajld14qi2w81BzYI/\nHpGDwKrsECK8XUgOcOFch/K9zvYqugbH6RvVU9Xez7hRkj8Gkd4RKZ3TPaQjv6qLU409vHqsjlG9\nAUQYGzegsRMU3hEqQZA6llUCW/NrqO4YoKC5H7UK7poTibNGzfHqLj4oblOMj9xnjyiOK87PlXAf\nFxp7hlmc4EeQpxNFUzii7S1pIy3Eg4buYda+cRpt/zADpl4WnUGUj8ncR/NxhZbf7K5gzfwYHlua\nQEKQOxq1itgAN+ID3ZgW4Y1KELhxejhOGjti/d2IDXCT741q7QAflrbzg9mRLE4JJD3Uk7vnRBHv\n54IowIMLYrhtVuSUq+QLkS8AZkf70NwzwpLkQB7aKdVenjLpdD21q4yazmFyIrw4XtWpuC/N+50R\n7cO12SE2498ckECavN02IwI7Fdw5M4KFSQFkhUv3371zo2nrGyXCx8XmoW8wijR0D0/6t28Ll4rK\n3wHMOfuD5VrquoZksbHJikqTFaaOVnZKUg0CrM2NvqgCkvkzZ0b7ICCSGOgqN7WYG8i0/aMUNfXK\n3azWBTTLBqJX7pjO7GcOyjrwLvYwO9aPEVMeOcrbibV5sVS0DfBpXSfn2ocQgcOVXVz553x+emUy\ny9JtDcnN+LCokXU7S/B3hH89tEAW+DK7Rr1b0MyBig7W5EbL+WyAl+6czlPvl/Hap/U2+/z73Tk8\nuPOM/DC9/a+nmey2+eW16Rw6q2V/WYep0Gmksn0ivbPIpN/zh/3nuGdOFOvmR7Mlv5a9VuJqKzMC\nGdYZ+Kiik8KmPgqblAJ3bhoVjyyO5+G3JOYRQFa4J9q+YVr7dFS0D8leDeZ0VlqoO8XN/UR5OzMv\n3pfkIFcC3B0IcHOksLGXAxZ6/GtyozjV0INelG7Qe+ZEybNwmOjo1hvhTwcnUkfRvs6M6vT0DOo4\n3WgrLPfYu8XUn5c0gO6ZG8VfP5m41paqpVenB6I3iPQOjaFWCdyfG8Vfj0/0SDxzbSorMkIU8twI\nIAgCGWEek44Nc3PYVI2YljaTZmjUKlydNByq6OCq9CBeOFQlmz5Zw7Jx09I8yFxA9nLVsGl1Njq9\nEVdHtaz3NTPah8RAVykwinCXRdF9sv1OBmudo8evmCAUaNQqHluawO6iFh7cWcRfbs5kSWqQ4tj+\nXU1ok+HSCuFrwKyFs2Z+zJQz5snqAqFezowbRE439PCDOVEkTEKPmwoatYqRcSMP7CiUU0PmWc//\nrEpnepQ3RkTWby8gKciNXWfaePKDUptViJPGjmszQ9jxeQN6I4wbobZriIFRPX0j4/xmZRrX5YSS\nl+jPTdPCCfHQUN0xiFqAjqFx9pW1M6IzMDymJ9w0o7FcDV3xguS7PKSHtz6rp3/MQFaYF/841cBj\n75TIImU54V7MswqIcf6uvHqi3ubcl6YGkRbqzufVXZPaL5pxXVYI98yLQRDA19WBB3cWyf7HAW4O\nvHBzNi8dq2Xj4Wrs7VSsy4vlUHkb3RayHkvjfdl0x3SWpgYR4+PMOe2AQiMH4GfLEtl5spH8qi78\nXTQMjRu4IjmQgobzslew5WHePTuCEZ2BhvMj9I6MU9Lcx6FznTx+RRI3Tg/HYDCSFe7JTdNCsVep\nmBnlzV6TVIIRaYXgorHjxfxa7p8Xxb8KmxnTi9gJcH1WqKSnE+pBefsgBU29NPeM8Ed+qXWWAAAg\nAElEQVQrKYqEABeeuCKJmy8LJzPMk5aeEU43TqQP4/xdOG+6DpHeLuwr13KgooP95VoKGnpNrmDS\ntolB7syO9VXMagPdnRAEqUcApDSmOS0T6uVMkIcTgLyKtV5BW77/RHWXnAKVCs4eFDb2sCW/FlGE\nuXHKAjcoUzeWdRnrNKo5hQRwpvE8v9lTQVKgK8/ur+R0Uy/Rfq6KcZkU6E591xCO9lJdK9LXdhZ/\n+GwHT+0qY11eLDdOD5t0lv9eUQsn63uI9HVGpxcVx/Zd6xjBxa8QLvkhfM/4JholX/Ze2ZTHIAWO\ntfNj5MKl9TbpIR7c+OIn1J8fwd3Bjv4xA1emBPLnW7Im3XfPoI7rt55QKDUuSvTDKML5IR1lrf1s\nvS2Hcd0Y63aWKN4b6e1M/fmJ99kJcObJpfJMT6c38kFhEz99txRLUesHF0STEeaN3mBkw5uSQupt\nl4Xz+udKiuc7a2bw108aZV/c+18/xawYL07X95AZ7sVndT2oBFiTG0NCgBvntANsWBDLuwWNPPnB\nhFGfmz18+vOlihnoaydqeWqX0sxPBdxyWRjvF7UwqDOSE+LBaSubSktY+giHuNuzIiOUpCA3HDVq\n2eTGcpa5aXU2D79ZwJhR6kUQLf6L8XWhxhRU/3tlCldnhspeASdqOilv7ee+eTHk/fEwfSMTV3Pr\nahPV02Ss0zukY+bvDmEEnO0FciK8OVbdTVqIG6/fPZOXjtcQ7++KWqVCrVZxsLyddwpaSQp04e21\nc2VmnHlWa+lFoFapZOVbs/mL3mhkw/ZC/nxzJmqVQHFzLy8erWXTrdkgwJmmPrYdrVH4FphVcGdG\n+/CXQ5W8dLyOF27OYkVG8JTX2owvo5taamPlhHty95xIylv7Wb8gTvH9HyzXct/rpxCR6OTrLfTH\nzDBTX6davVhvY14VfJ86RZf8EP4/hA23eYq/m0XjJhtwiuVpUgAvn6iXFSqXXyAV5OWq4f0H5rHp\ncDXjBiOvHK9TGO14OEizfi9XDV9E+bNm+2mSAtz5rK5bXhWYseuBOYob583P63hq11nFNk6CJEhn\nflhuWi15N5vtOs14/PJojlR2s6ekjVAvR+xUgsKH+WxbP1tXmz1+a0CAzauzaesdVgQDgCevTpWN\nVvR6I2q1itcsViyuGhVZ4Z4MjOgVzX4XCgagpPj2jRp48Vgdc6K9OVF7nsxQT7bdnsPrnzWwNb+G\ndXmxLEwMwCw9ZQCeuioJNwd7PirT4uViLweEpp5RRSpmRUYIeQkBPLWrRBEMcsLcZTaQ2VjnYHm7\nXA9xtLfDaJoYujva4+WqUaQ9ALoGRninoJWsMCltZd1nYMmzt5Zhz43346OyNkRRpKSll5eO1SEg\nsC4vVvYaFhFZnxerkI43B5k1uVG8fLyO9XmxLEmR+gysJ0fWv1veK2azKsuUTG68H39YlcqOk838\n5poUfvlBOZtvzbZ5oOfG+3HfvGi2Havl8qQAthyptkl7Ha/uZMuRGlJD3KcUqbTsyQH+7amhqXAp\nIHzPMD+QzbN382vf5mzhQoHDkmM9Om4A0wPP00lNnkWPgCUsZzc/uVJyG0sN9uCH/yiSUyN9Y3Dd\nlhM8vCiOZenB/Gv9HAZH9fz8n2cUAcFBBbEWVFad3mgTDAAO/niBfD3MCqnL/vSxYps4P4FwH3eK\nmntZkxsFImw+UouT6X1qAd5eO5u4QHcWJgUgioLkX6w3cvnzxxT7euLKeK7OCjM1axViFEVF2ifC\ny5EfLo7nR28XY0RiEn1ee96GmTWZz7OTWmBEL+KiEfB0tmdQN8YJU+d1UXMv1245TouJBrvzi1pu\nmR7GzCgvuat646EqPvnZ5dR1D8v57GgfZ+6fF42Lo1rBmd+aX8M7Vr4RUb7uzIj0kRrCBGkMPPqP\nibpIWqiHbBDUeN5Wqx/g3UKpN+HNk414u2rkmb/5O5oR5cPS5EBGTTkzywfv0cpOaXkjQFKAG2ty\nY0gJdicvwZ/jVZ38+eZMQEStshr/piCTHOwurxzMn2edd79QHn6yvgKNWsX10yO4fnoEKzcep6i5\nj5te/IT9P8qzcS18aFEcl0V5K1YsikbSCzSd/W/DpRrC94xQL2cMRpEtR6qJD3Dlzwcqef5QFfEB\nrsQHfnPO/4V6EkBJgY30dSHEw5GSlj56h8fJCvealPX0wqEqmWs9O9YXO5VAc8+IDXW0d0SiDuaf\n03L4rJaTded5t0i5jUGElCB36ruH8Xdz5Hd7ymx4/c+tSuKyWH8Fc+QvB8rZU66kSP5yeToP/+MM\nBY29zIr2ZcOCOP5V0EyPaXYc4evMj5YkyuedGebJuEHkwLk2mnuUTKvrs8NICZGolsnBbsyN8eKg\naQUkAMd/uojEYA/iA1yJ9HFmYMzAOe0g9iowiuDtrGb1jHCWpPhz3CQ9YQ/UPrOc+3NjyAj15HfX\nZbAsNYj8c51cnuxPmUn+ZGB0gvo6PC7y6ol6OnpHMb+qHzcyZhB5Mb+GzHBPtH2j9I2MkxnmSVPP\niMmIXhIPnBbpTVlLr0Leuby9H3s7FXfMjiTW3w2DUeSLuk4azo8S6unA63fP5O2TNfSOioyO6gn2\ndKK2c5DK9gEqtYPUdg4S6uXIkcouVk8P44eXJ9jo8Ww6XM2bXzTyUXm7om5lzuWvyAjmmswQVHYC\nT++pYGWWJGmx/s0CVmaFoLZTsf7NAkXOP9DDiXGDSMfAGKuyQxX1Osu8u1mCY1nq5H4iX6YLtL+s\njfruYXpH9LKHguWxm1cEZqkNc/AxGEWmRXoTZZKNyUv0t9EXmwqW9+nFvueb4BLL6D8UGrVKljQu\naDgv2weWt/azIiPkS9795fgqjAWNWsXNMyK4LidMkW+1xmROULnxfjx/QzoflmtZmOBHRdsgRU09\nFDX3UdwyINsFWmL1ZaGcH9IzOm7g0TcLmBntxYka276Ia6dLnstmhseB0kbOddq2B6vVKu4zOaWt\nnR/DuN5IcrAHns7DDOsMvPGDGcCE/63BILLtWJ3NfgD2l7WzMlu6/nqDyLZjE+qw0yLdcXVUSxLV\ndirSQz1ZPSOCkpYeWnul48oJ9+YXK1LQ6Y00do+w/YsmnrwmSb7O5u8ixNuZQ4/lSR26cf7sLmqZ\n1EJSZ/XvLfk1ABQ29rIqK4jLk6WmMEsXPYNRJCXITbb2NOPW6eGK7+6jsnaOVvUQ7evCzvtm4uWq\noc7kLqcDHnunWME6EoFwL8nPuqi5h30lbVR2DDI6bmBJSiA6vZGhsXEyQ9y5fVYkM6N9eK+ghf1l\n7fxieRJr58cwN9ZPvoaKFY3p3zq9USENARIz6SWTOb29nUqRcrFOCU3mNmae4eeEe/HS8RrZP9t6\nJb40OYDD57q4Y6aSYTTZysL8utkZ0MxUMnuVWNdWpoLlfQr8x7CMLgWEfwMsqaQGo2SjtH5B3Ley\n76kG8cUcz1Swzn+ab7RlGSGszAmTXx8c1fP8gXN8cKaVjkHlAzwx2AFXB3u2f9FMlK8zd8+O5OVJ\nGEUnHl8g//ueOVFUdQwozFNAkr1efVkUajsVr56o4w+r0nh4ZwGnG3roHdGzPC2ITasn9HLM/reT\n4WfLEihq6OW316YB8FFZm6yr4+Eg0DcmclNOBLvPtLC3uI19ZVoQ4AezI+VgAPDs9RnytXzy6lQW\nJAbIsgaTFRvNchhLUgLZW9zCji8a+bx+8p4Aa7xb2IaTRk1L7whzYnwY0em5Z04UKcHuCn0jgCdX\nJHHDtHBF0dOsa1XbNSTLZ1gGgD9cn46DvYpdRW3sN0mzNJpWVGVtg7L3s8rkD13U1MtfP5EC6KzO\nITxqu+V04jntAPXdQ6QGu3NFWhA6vZGCxvMMjupwtFezMCmAzv5Rrt10jI4hPf0j4zja25Ee6kFe\ngj/P3ZDOntJ2RnWSpehkRdupxry17awkQ6+2GeuNptWUq4OdIlhY1uQsU0SWk7rceD/ZjMpoNPLI\n5QlsvDULveHCngfWx/xV79nvChcdEARBsANOAS2iKK4QBCEK2Al4AwXA7aIo2kzjBEFIB14E3JHS\nq9ORVtOWSdxQ4A1RFB/5uifyvxGTidF9U3zZw30qmB/ylv7GMHl9Y6pVyGe13bz2aQNLEnzZW6HU\niznbOoZo0BLgpuHarBBu3KTM4QOsygqmon0AP3dHNGoVJ2q6bIIBwKe1fWSGDchiZ+8VNssFbk8n\nNU9fkyqf00dlbQyNjhPm5UiTRZrIDvj9qjR++q9Stt6Wg5erBp3eyNunJ4rFfWMiz9+YzkdlWj4s\n08oGKyoEvrCQg35nzQy8XDXy7+bv4A/7z30ph12jVrEyO4yV2WHyMe8908KOU018Xme7ejLjDSsj\noFBtP++ctF39rJ4ZKaf8QFpJfVYrpd5Sg93klcNV6YF8UNzO1emBrJomHUteQgAxh6to7RnmvWJJ\nw0cF3DkrAjs7gcwwL9nIpqpjgAPlWlJMhjLP3ZjJ65/VU9DYi0qA4pZeFiYFKMzpBVNA+d3ecjqG\npDTf659JgcUcbFydNBys6EAEWnpH+fMtWYBJQ0yAubF+7Clu4cWjdSQFuimM7WdG+3DPnEh0BpF7\n50aSGeo56UP3rtlRfFHfw12zoya91pONd8v7LD7AFcH0U6NWySwr8/aWRloLk2y1xzRqFTnhXqx7\n4xTdg+Nsuz0Hfw/HSY/lu8ZXWSE8DFQgPdgBfg88J4riTkEQtgL3AFss3yAIghp4AylYnBEEwQcY\nF0VxFMi02O408M+vfxqX8E1hHvT350bxYn4dS1P8WZYWzCNvFSkGtjloTGbbqTcauWlaqI3cthnn\ntFLB0rqgCzAz2gNfVwfWvnGajbdK1MWt+cpic26sFzdOj6SstZ+UYHc2bC/g7jmRNPVM5MtXZobK\nD+ejlZ08tKNoUomJo48vwM/dEU8XB/k8PiprI79SmW75qEzL3jKtZHmZ5A8i8somK9yTV++YrggG\nljA/bO+ZEzWlmq01NGoVK3PCWJkTxk/fOcPOU82EeGqID/Dg8LlOuUAd7u0kz2wBmnvHJt1fZ/8o\n98yJoq5riHvmRPG7vWWUmUyR7FV28ozbWaP8CdKE5fErk8h4cp/8WkKgC3//vFH+/s3j4aq0IGL8\nXMhL8DcFuRCWpQfxcYWW4pZeXsyvJTvcWzanj/d3xdFeckbrHozhJ/8sITXYjdtmhFPbNUJ6qIf8\nvdwzN5KXj9ezr6xdFqZb/2aBiak0YQN751+/4OCjeYDJnjW/hm3H6hCB5WlBPH6FxAAyC/sdLG9j\n15k2Ktr7aO3T8eg7Rbxy52UA8nkdOddBcXMfz5tc+yb7Hh01alSCgKPp2lnP/s1EBRGRbbdPm7QI\n/ov3S+VJzfo3C3hn3ewLjpPvChcVEARBCAWWA78FfiQIggAsBG41bfI34CmsAgKwBCgWRfEMgCiK\n3VZ/RxCEOMAf5YrhEr5n5Mb7sfGWLE7Vn8cgiuwt1RLs6SQP7MFRPT95t5h9pW28aBrUljha2ckD\nbxbi7Wwvv/bjJXHclxvL0Kiex94uIr+qUyGzbInUIC9ePFbH5Un+FDT0su2YMsUT6Kpm822XoVGr\nZHvGdXmxCh/mzDAPeSZulhx/dlUaT+0qY1A38cFzY33wcNagUatkO0S9wci/CiZc7pKCXHl4UTyj\nOj17y7TUdQ9T0zHIufYJiunMKJ8pgwFMpNomoz1eDH6xIoWeoXH2V2hJDIT750Wzbn4Mn9d3Mzqm\nZ09pOwcrOkgLcSchwJ09xc0M65X7uO2Vz/FysqeguY9h3ThHKycK88vSA1jzt1PkJvjyzmlJE+pw\nRSv7SvzlfgWNWsW8OF92l2oJcFfzt7tnUtzSJweDtW+c5q5ZEbx8oh4ByA73Vsyir0gLYmFSANnh\n3vKD1JrSujw9mKaeEUVqzZJGOi3Cm1eP17NmfsxEvSE3muRgd/ISAgjzcuTFo3X87e7L5H0erexk\na34N9+dGU985xN6SNq5KD0JtN9EjYW3ZeqyqWw445m3M/tQPLIhFbSfINNhHLp9wZcsO8yIr3JPs\nMK9J6bCjOj33zouS7TjBNmg8fU0qo+N6ugfH+fNNmRc9gfi2cbErhOeBxwGzFJ8P0CuKonn4NQOT\nVUTjAVEQhP2AH7BTFMVnrba5BXhL/N/UIfct499lqG0JjVplysnXy6/VdQ3x+BVJ6PRG7vrrF5xq\n6GF5WtCky+7ceD+evymT3++TuP0LEvzYsFBSzNS4arhlRoTcG2ANX1eNnIKR0gO2RdZfrEiVDX/M\nEgEPLYrjH6ca6TDJO987N0p+oJglx69I8VcEA18XNceru9l8pIrscG+5YcpgNfzWzIvhilQp513R\nPsC2o3UctniYumhUbFgQ+6XX1Xxtvk6O2NVRjaerdD6HznaSFOSBl6sGtUrFY++WsPGWLG6aHi7v\nt7lvkE9rJuoQ9khGNubjthayM3t+m+sEANohI2u3FyAAt8+M4FTDecpNKwptv57VL3/C3FjJAdD8\nnT+zrxyAMC9HZkb7yDIleqMREBjVjfPxOam4q7EKoDq9kc1Hqth6pFbB47ecQS9MCmDbHRO006OV\nnWw7Vid7EVybHYaPqyN+7hNplpxwL5amBLI2V/IDOXBWi94osjBpokci1s+Z94taOaftp7VPxy3T\nwhQ5fUnWwk32wThe1YkoStaz2RETge9Xu8s51dDDr3aXc21WiA0d9qG3iuT+D0sqteXkwMtVwyt3\nSQHtYLmWNX8/xbpJmuC+a3xpQBAEYQXQIYriaUEQ8swvT7LpZA90NTAXqW4wDBwydcwdstjmZuD2\nC3z+/cD9AOHh4VNt9r8a/ylaJrnxfqzNi2bLEYnZcehsJ/883cTm/Boaz4+QFuzO71elTzpAh0b1\nPH+wkqaeUWL9XPjTDXJGUJ6tT4WuQR1dpiL0ZIPo6WuSWJIqpR82H6nm3rnR9A7peHhHIS/dnsP9\nfz/N4sQA8hImrl1uvB/P35ihMMXJjfXlDzdk8PpnDcT6OnP/66f4wdxI4gKcONs+wb/PDPVgdoyv\nXBB+dEkiacEebD1aQ2nrAE5qgT0Pzrto86CvW9cB2Gui7QpIJi7mc7NuPDxYrlUEgzgfRx69Ipm0\nEA9uf/Vzarsm7y+whodG8ooWmcjnW6Kqc4SqzgY6BnU8d1MmZ9sHaO6R0lWNPaMcOdfB2fYBNh+p\nxkzNN3+nw7pCtt0xXWb+bDxczbEqLZUd0rFteKOAX69M4YZp4TbnaHn9rAOs2U9g0+osOaC8cqKO\nPSVtRPm6kGryElGrBMW+VmaH4WivZt32Aq5MCeTnK5Ll62neZkVGsNwZvTApgM23ZcvNdyCN7cuT\n/BCNRp6+JtWmLyQ33k/R/3ExyI33Y11e7AW1n74rXEzomQNcLQhCPVIReSHSisHTVCMAqShsq2cs\nrRzyRVHsEkVxGNgLyPQPQRAyALUoiqen+nBRFLeJojhNFMVpfn7//ir8d4GvO4P8tqFRq3hkscQx\nN+O5g5VyrnpobHKWR0ffKAv/eJjqziFi/Vx4b8NcRSrl4wota7fbeiJnh7izIN4PxwsIqD63Konb\nZkk01OIWSYBMEEQee7eYD8va+dXuCjoHdew42cSjbxfxuz3lDI7qGRrV8/TeMnk/V6UH8fJd0/H3\ncOSxpQk4OqhBgFeO18vBwEwBL27u41e7y9l4uJqtJrpneXs/Za0DkkPbDZkKA6TvEmG+LoDyAW35\nUDMbzeSEezErasLQaEFyMA/sKGT75w00dI+wfn403i4T311igAvPXJvMxlsymWnxvhWZoWSHe8pG\nPWFetsXN9GA39pW2SROZ+THMj/OW/1bW2s+WI9WsyY3hvnlRigBf3tonT35+8X4pr5yok4MBSF3Z\nP3+vjGf3VfBxhZaccC9eOFRFVXs/C/7nML98r4SOvlFeOFQl01P3lbZx9FwXBlGkd0giDQyO6hnX\nG1iTG8UdMyMoaOzlvnnRCnMand7IvtI2PqnpQgQ+LGvnyDklgcHa8MbcIHlF2gR19WhlJ4+9U8J1\nOWF4uWoUplXmlf/cOD/bprsLQKNWsXZ+jA0N9/vAl05xRFF8AngCwLRCeEwUxdWCILwNXI8UJO4E\n3p/k7fuBxwVBcEaiOM8HnrP4+y3Ajm9yAv8/4JvMIL9taNQqXr1zOne99gVnmvvQDugI83JEEAT+\nfs8Mm+3rOwdZ/Fw+eiN4OKp5e81sm6BR3z1o877bpwfzX9dk8HGFlsOVnbioJUE8a7z+aTN5SaF8\nXt/Ni/l1XJEaQFKgh0yTzAj14AdzItlb3CYLwtmr7ThY1kJ7/4Qo3R9vzFSsbGZE+jAv1pdPa7vQ\nGcBBLbD7gbmSLIQodd5G+bqwdn4MH5/Vyqum9fOjZfmEr4Ovmh587a4Z3P/3U/i4arhnjpIFY1ms\nXDs/mk9NrKSlSQFyd+3ouF7u9g1wd+D8kJ68OG9eu2eWvJ/tn9cDEOKh4YllKXK/QG68lBpKfWq/\nvO26+THcPy+a04098jk8f1MOP3+vmCVJASxOCZKNagCSAt14p7CZkuY+tt87kwhfV9lpTDdu4MBZ\n2/TgK8frefVEPVemBrGnpI3tn9XTM6KnrruR8rYBTjX0YDQaEZHkwM1B5+3TrVyXE8FP3i1mT0kb\nsX4udA+M806hVB8ZHB3nyaslBtqzH1bY0J4Pn9WyIiNEYqeVtrGrpI2PyrRsuS17SkkKs7VmTriX\nTd7fUpXA3Nl9sff5l6nDflf4Jn0IPwF2CoLwNFAIvAIgCMLVwDRRFH8pimKPIAh/Ak4i3b97RVHc\nY7GPG4Fl3+AYLuE7gJerhvvmRsnplpbeUTbfmi1TQgFZIG/hH/NlFs81mcGcbuxRUFertf08s0+p\nvPnOmhmkh0lG5nqjiJ0gsDTVn38W2VJMC1sHmPXMQaL8XeRid2vvKHfNjkCjVvHysTrmxPrx22vT\nMVBMmKcTEZ5qznZMMHAeXhBj8/B96bhkiAJSPeD444vwctUQZ9EtvnZ+DM8fOMfJhvMIpt8fuTz+\nG+V0raVLvmxf/h6O3DUrgkfeLib/nFbu+zCn4cxicXqDUQ6SV6YFKqjD225X0zs0SkXbEFE+Tjx7\nfZbiM4qbpU7x3pGJFaCl1LsZwR72vHSslpwIL8VD6qXjNewt1RLp68JKRyXPf2VOGK5OGta+cZqG\n8yPEBbrLf3/u5iw2H66ior1fagybEYGLo5qEADcc7VVyUL4mI4j7/36aeXG+PLAgjtc/ayAx0JWH\nTP0iAhDl68KW1TkcrexkX2kbQe4OVHcO0dY3MQ62f9HEgkTps1+ZpAdm15k2Lk9uQ280KlKN7xe2\nyo11ZgyO6vnLx5XUdw5z8KwWg1HkxaM1bL41myvSpOBhqemUGuzO6LiefaVtcrF+MpiDUUmrxGz6\nvrMGXykgiKJ4BDhi+nctcNkk23wAfGDx+xtI1NPJ9hf9VT7/Er5bWM5e1WoVdoLA4iR/rsoIlrti\nzZ2Va/5+ijBPJwWlMzvcSzEjeubaVB57V6l8+pur4pkW5Sszb565NpVIH0ebYODuoKLfpPA2qhep\naJ1YZRQ193GmuY+/3JzJurxYOQAdqujg4UUx/PhfE3RVZxXcNz9WMXvT6Y10DUjpBW9nO3Y9kCv3\nIVh2bG/Yfkru+p0W4cUPv2EwANsu14uZ/X1oeih/WD4REMxFc0tK8JbbVHLC3rImtTg5gHte+wKA\n+u4Rilv6WGzBcx8yFd2HdEb2lbQxN86PI+c6KGnuJc7fjVUZQeyr0LJl9TQ6B8dtHlLJge4Ipp9T\nnfNkKdHParvZdqyO52/KICXYc9IGvocWxXG0spP9P5wvn7dZA2zzahWFjT28dKyOx5cm4OmiQW8w\nsml1NtlhXvxqdzkb8qJZ+8ZphnV6HlkcJx/D4iR/2X/CDJ1RonyuzY1GBVyeEgBGKZ0U4++q6CXZ\nml/Di0elvo/laUGkBLsjICiqqxq1SqJo59eQGOCqKC5P9b0frezkwZ1SU98DC2IvStn128QlLaNL\nkGH22k0OdmNhYgDpoR6sy4slKdidcO8JL+ggDydqO4c4ZeGwZqcSWJociCAIPLwwjulR3vxub6ns\nsgXwxNIYfpAr3VRmLZodXzRwxkrmYu+Dc/jpshQivZ053dAtm/dY4sdL4vB1c+TXu8vljlE3RxW/\n31el2O7IjxdQ1NQr68+Hejnzx/1nef0zqVdCJQikhngQ6TuhUZMW4kFZSx8vmmQu1ALseuDii8gX\ngp1KYFqkN+mhSi2gC6FveJSPz3UxM8qHeXF+sg2rpYa+wShSpR2kpKWfazJCyAj1wIhIuLcLBqPI\nayfq0A6MkR7izo+vSFR87mvHa2WRvr2lbQiCwK93l3OqoZcDFVrKtYOMG0QqtYM8sSzJ5pgjfV1J\nCXJHZSfIn2epzTOVlpD5HBYmBTBvihSa5ZhsOj8ifz9xAZLj2oxoH1lH6GhlJ+vfLODqjBDSwjxZ\nnh6En7sjd8+N5v75saSHecnHszAxgBGdnqImiUasQup3uHt2JDdMDycr3It1Jv9lS58FM9JDPTEY\njWSFejIvzpe8hACywj3JS1BqKZmbAiN9nfnBnCiWpwfZbGN9TRL8XYn0dWZdXuy3xjC6pGV0CV8d\nFqqNlnUNM43QPPs5Xt3J/nKpczXG14VX7pzGOwUtVLT1sadEWq5/WtNBS/9EUSDe34WYAC+5nV+n\nN/JF3XlO1Cq7cWfHeJIcIhW1V00LY2lqEM8frOTl48ou3D9+VMX8BD/umh3BzGgfTlS28/Sec4pt\nvnhiEf4eEh3RPEP95+mGiQe9SpoVP7ijiLXzB0gJdmfjLZKk88MWEhAJgW4X7Df4qphKEmEqHDY1\nLG3/opFZMd6cbR9k7fwYxSzzaGUnD+0sxChOCPmtfeM0G2/J4pOaTopNAoI/mB0JSKyknHAvXjlR\nx8Ikf/5Z2MbsGG/umBnJ3Dg/EgPdKGnuJSnInZN13Ww/2cyNOaFTno+Z3/9VtF2vKf4AACAASURB\nVHkmq53Z1FimkNW2vG6WDXIXS85wdVTz5NWp9A6N8a8z7UyP8uC1TxrYepsvrhZpL7Pj2WTvf2JZ\n8pf2mFjqgF3MhEKjVrEiM4QVk7L4v3v8e0jvl/AfiYVJAWy7fRoLk2ybzta/WcCG7YUTUsaiVGD8\n8JFczmoH2HKkhqQgdx5YEEtV5yBl7Uqa4/3zolj7xmmOVnai0xv5ybvFNs1n3hrYdMt0G3aHnQou\nC/dUbGsEDp/r5OXj9aQ/tZ+7X1dq+Ly/fpbc/m/5ALasZyQHunPv3EipO/toDQ/vLKJjYJRpv/mI\n4ubzzIryIjPUg7/eZZMZ/VZgXpGYm6GmgrlFJ9zTgaKmXjYermbz4Sp6BnVs2F5Ay/lhChrO8+x1\n6awzsVPMD08E5NVQgJuGZRkh8uf+7F8lbDxcTaVWSscl+LtxRVoQro5qVmQE88TyZFZmhzIrxhcB\ncFSrOFiuZXBUz76SNvaVtsnfkWVa6Juw5qyvieWYNH+PZgE58zbm95jrJuYxdiGYx5iPmzRG0oK9\nvtYxf9m5atQqMsMm93n+T8SlFcIlyJiK7WTmUuuNErXvQEUnf7oxnfnxAbxwqIpYX2dERBzt7bhj\nZgTznq1WvP+pqxK5Ii0ETxdHqTO4Qsuekjabz7ks1p/P67tBhAd2FLLxlizeLWjhgEXj1NbV2cyI\n8uHxd89QpR2k/vywjTRFvK89GeHeitdazg+z/C/HZF/mCC8Hilv7mRPnR0aYBy/c5AGCwGP/KGTU\nAP1jBpw09rIUwneB3Hg/Nt6axeCIjmf3VbA+L27SWWS0vzsfV3bT2DuGnSCgApKD3WVP7XPt/VR3\nDvHAglh+cmWi/L7FyQEMjuqZF+fNsarzrMuLkWfUW2/LYXB0nP1l7fi5OQAD2NnZpjF0eiPlbf2o\nBIHKzkG2Ha2TO3gt8+HWY8dydWmtkXWhh6PlA9baZWyybax/v9ienqOVnaz5+ynunRvF+vnRNk5p\nF4sLMQTNLnhflWH078SlgHAJNpjMfnBhktR1+eCOQkSga3CMc9ohtuTXsD4vmm23T2NmtA+X/+lj\nxibk/XlsSRxP7zlHqJerfEN0DIzafGaCvwv7yzs4UCEZpqydH8PouFERDNbkRskzxZfunE7PoI6Z\n/32AMauIEBXgrVDGHBzVc+Wf8+Ui9f3zorlzVgQPv1VErJ8LD7xZyMZbs/ikqguzNYEdKKQQvguY\nUyJmFzhRFBQPdDMeWRyPnQoQYe38WKZHSV3Cc2Kk7+dnVyay42STQuLajOPVnRyrksx4rD0gFicH\n8sItAu+aBP0SA9xtUjYfn9WyNb+WtXnRrM+LIzvcW2bNXEyz1VelXlo+YJ87UMmW/BoMRlFxXawf\nwpYrQBsntylg2fy18ZasiwpWFwtLK9stR6pZZ3KCs8S/21JzKlwKCJdgA1nobl4UCLDtaB0bb81i\nVGckNcSNkpYBTjf2YjTCvXMjWZ8n0ScffP0kbRbc/xBPByJ9XLlvXrQsabCrqIVfflCu+LxfXZ3E\nlSnBPPlBGUtTAlCrBDYfribTlCYSkAp+jy5JVNwwe0tbbIJBoAvsL9Nyqv4QegO8s3YWz+wtk4OB\nt4uahxbFsTW/hlMNPUyP9JY8fw1G2atZrYL8xxYolDO/M1gQU2q7BieVeHZ1VJMW4slDOwtJC/WU\nmScaV40s8z2VmqreInWiEqRPspxFf1F7nsMmQb/Cxl52nmqioKGHbXdIelXmDvN4fzfFQ9NMrfwy\nWOb9zcX/i0VKsDsqQfp5MbBkXlm7nlmvUDRqFffMiaKmY5DPa8/z+mcNcqfz15GSsVQ0RUCeZJg9\noy2PJTfeT/b6AOR6z3/CKuJSQPg/jKl8ac3NNpsOVyMA6xfEggg/ersIowjZ4Z6ISA+QYC8nxvVG\nbnzxE1nzxoyHFsbx8M4iREQivB147kA1WiufhFXZwazKlvT6zfS+tfNjyAz3pKCxl6VJAVyZFsQ5\n7YBckB4c1fPke6W8W9Si2NcTV8YT4ObI7z48h3ZAklOwVlY9P6SXTelhouj3h/3nSAlyY3BMz5v3\nzvx+ggGSgNyW1dm8faqZ/WVajMZCNq3OsXkQFTX1YhSln1NREa0NYcK9HGXl2UWJfjJd0zLF8ts9\nE8H5k7ou6rqGmWbRWGaWnyhvG+DVE3Vf+aFlOZv/qg+7JSmBbDNZZ14MJsvnX2iF8tJxacyB6Zkt\nKt9zsedqTg1tOVKDiMjmW7MVKSyzLlFioBsP7yxi0+oshRLuiepO7s+N+t67kifDpYDwfxgX8qV9\naFGcnBZYaGrmeeHmLPYUt/FhWTuXJ/mzNCmAJ1ckc/2W49R0jyj2/bNlCSxICCAzrJlbpoey8XCt\nTTAAeLeglSAPZ/kGuWOm1Gla2NiLAFyVGczZ9gG25NdgpxJ4bGkCmw5X2wSDp69J5pcflCMg8Pvr\nUnnlk1oq2oZsPm/1ZWFszZcM0VND3DlY1sYrn9RRYqK+Lk8L+t6CAUwogpqVVg9UdPCTtwp5bnWO\nYjvz7N780xJyisJo5IE3C2VDGEs42Klsms50eiOzo32o6x5mfrwP/70ynf/+8CxPX5MqB6TekTFE\nINjT4XuXV7mYDn7L1Iuro635jXlyc8+cKJsVirlv4t45kUyL9JbJFBdbFLe87luOVLNmfjTpIZ4K\nzwPL1NR986JlxpSro7RSfeFQFZsPVyMIgkIp9t+FSwHh/zAuVJybLC1gdvhSvVXEnpI2skI9efDN\n0zbB4KdXxHPX7Gh++FYRpxt7MYgi3QO24mqXJ/kT7eci51Ezwzx55UQte0raWJoSwLVZISxMDCAv\nwR+QZvM6vZHiZqWKepy3PXqjETcHOx5dksDVWaHEBbhyzeZPbT7zo3ItSUFuDI7o+fG7xQqtHUtz\nne8bz6xKZ//TBwD4V0k7v7FKHZm7mierE5gD+cZbsmRZiAgfJ/52opahcamP4rfXpk/6vu0nmxCA\nazPDCPF2VjjNAbx8rB6A107Uc+TxhfLr/wkKvWa2mjn4WafNzJ4IUzUBzon1Y3laEBsWxMmNiWY6\n68U8mC2v+4u3T7O5FuZrtHZ+jGy1aSnrYZboXjM/howwj+812E6F/x1cqEv4TmApxDXZ71PhytRA\nssM9KWzu5fMGW9vHQHdnXjhUxc+uTOT/tXfm8VVUZx//nptLCGQhIYQkJCQkhLAkhF1RMCxaELGK\ndamKS1sXIKK11Yq2vm+1tYvbK1Vkcal1AVFLLRL2PaAiJiFkhWxAIDuQQAJkubnn/WPuTO6aXCCQ\noPP7fAJ3Zs7MnHNm5jznWc7vGRsZQMbRU9Q125Z5dGIUb88ew3M3DcPHy6h9XIerzyKAGcOCNUIw\nNa+Aj5eRr/Yd4+si23s+eF0ML6w5wKmGFv5vcz6bssu5zU4YRPdWwgur65vIKj3Ns3bCoJeXB5ue\nnNSh6w3OBwE+njw3vXWwf+aLDJvQSes+sIcqyKcOVVYlB/h48uQNgxkzQDFB3Dk23Gm7EmODmD40\nGAnklZ+yOdZkMpOcUWqhsIae3T1s6uNuyGx7sA8xPh+k5FezPqucmcNDXQrKpTuLnDp1Ad7YcpC1\nWeW8seWgVv582qRqHxMHBdkQ2qntsQ6HvWFYsKbBWGsPS+8bw29+EsuNTnI9dwY6vwY6uhRUFsjk\n/aVsyFLizO1f8ic/y6BXD8eByYBii92YU8Gi7YXc/8+93DnGcYHNX2YNw8PDYDMIjIkIYGR/fzbm\nVfLYlBiMRgOPfpzKpuxy7d65pbUOVBgA/04rI3FQb/y6G6g9Z2L+StssaQvvGsFXT0zil9cOYHiY\nL14eYM+jt+PpqZ2WtlDFnClDWHTPSASwPqeSTRb79oXgq32lpFhoN66O6uNwXH2WPxlmoXFuUZ57\nfYOJLbmVbMur5PGVGVomtgMV9TYDpf0isQsZ0OHiBEtibBDvPDCWl29PYE/xCZs6qIlpHk2M4qEJ\nUQ5rE5pMZtZbNAv13tYasjuCSiWg21PcqrGqPoM3NufT0NyiLXR0Bntm1Ivpx46CLhB02EBl0Hzi\n0wzmLU/njc35LNx8kDkfp2omgmlD+zokWwFlsdiYyABevCWOmCBvio+fYcF/sm3KTIrx539W57Jk\nZ5FGLd1kMvP86mwtAc8T1w/C6GFAIMitOM3cT9L4at9RZr71tc21/j3nasZGBrD/2ClSCk5yTUwQ\nIb62r3RMn+54eXqwu6Caj/cc4dfXD+aZGbYZu56bPrDTNAN7TIsLZZpl1v7e7mLqG2xFlzpwqAN3\nfYOJN7cWaM9HxYrvS7TfXt0cP3N1IC6oPoMA/vXNER5bvk+xx3+SBgLeunskcxKjWHjXCBbfO9pm\nYFMHsw1ZpTz8USpf7TtqUz91YGtroKtvMPH94RM8NGHARTlUdxc4ChU1Mc2ynYd4/+tDTo9Xn1HU\n1usstNjWA7Q7gsqZr2F8dCA3xoeybKey0NHoYXBr5t9RGtfFQucy0mGDvr5eSMzce1V/ovt4syyl\nmNQjNYzq78/cRMXWvzW3nINVisPWr7sHe567gcenDuLIibPsLqjmqqhAkibH8O+0IxpHDiizj3cf\nGMdVUYFEBnqTNDmGJpOZp7/Yz8acCmbEh/Ly7Qn08PQgxK8HQsDDE6MZEd6Lv63Lpc4q89nqpGsY\nPSCQm4aH0mKW9PH2ZHNeJXWNrfcL7Gngd9PjefKzDPr6daevT3fuGz+Ad3cVcfiE4tPoaYAPHu6c\n/LXO4GEQCAHrsiuoON3Iv3YXMWtkOH49lNSkm3MqmLs8DbOEPyUrEUKqWeSucf01jpwhwT58mV7K\nszOGcNvocJc8QrVnm/i2+CRjIv14bsYwbooPpbDqNDvyqxga2gv/HkaW7z3KkGBvBof2crjO7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hlgL7pZRL7M4x0ios9gshAoFaKWWLEOJFwENK+bwQwgD0llI68iFYYezYsTI1NbWtIjrawJbc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\naPMOYgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a25ecd080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x_tod['night'], y_tod['night'], s=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dft['night']['cluster']=k.fit_predict(dft['night'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.float64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(x_tod['night'][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#axes = plt.scatter(x_tod[\"night\"], y_tod[\"night\"]).axes\n",
    "#print(plt.Axes.get_ylim(axes))\n",
    "#print(plt.Axes.get_xlim(axes))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a26c08d30>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+5ZoV6fqwVIdwYwLV30TQjy8vOZAMdEQz94yNjWboJoZ7MWesH6tntLPxaClv\n3h/PS59n37D3mRPthb2tnOe2Z7JpSfINmbjjg90Y5e2gCwUe4mpDZbMm6IzDiDPMjvbhq+waJke4\n8UNZE9ocOjRfuoy9XOCSSmSkDezOUdKt6kUU4ZkpoaSXX8TDXkb9JTV2Ajw+IUhn0bFqeqQu5IGx\n2MlcnPmbAcZzSzKztKRsX0iJ8mLZlFC2Hq8gs6qZwwW1Ojt5aW5ufGK8xQ5V1wpp7Lt6ehGAhGBX\n9ubVsDevBhFN/oW/PJzQp3jnmTvCKG/o4Jk7wixq780H45F/lYufix3vppYA9OuboD83UqK8tOIj\nNfvyatiXV8Pmpck6c9aB/CFuBGzlMgpr2thwtBQbmTBkfheW4kenQzD2nlx3qNggOcdAz9jKZTpH\ntXlj/XThcKXsT13dvbz46Zlr6qMlmB7lyUNJgcjlMp7bnqnry/We0N0qNRNf20OTkVRgdrT3lcBr\ng8TsaG9K69oNwh0rbGV0qUSLGPcV2a+IXCZYnLnreuseBtKd6LdvvOkYqN+SR3J7Vw8vfZ7Dsimh\n/HJe9FXJ5ocC+vqFzcfKKKlr082H/hzKBkrP2Rfau1SsTy0mxt+ZObF+A75jt0rNukPFrE8tQUQT\nLsZS3Yf++/XldT2UsNRhbzCw6hD6gLF98YYjJaycFtGv5YCx7DMlyotNS5J551HNzkeSU8plMopq\n265b3wMdIdTdHgF47LZgFiYEMHOMDyumhbM3t4bjJddf7vjhqXITZgBcNTOQntVnBgDt3Wp+cnsI\np8oaeOPrPPbnaSJR6jsISbqFwwW1rN6RyQs7r0T+tAS7z1SzbFs6u89UX3Xf+8NAtur68uLB2LXb\nymXMG+vHvDg/DkvhJI5XsDtbaVDmRlqwSO1lVDWx5VgZ947zZ8XUMJZNCSXSS8E3WdVm8yP0lWth\nICjs5ET5OPP8x1kG760PY/+IDUdKmBvry9sPxbNqWoRuM9cX+vKvuN5yfksd9q4HfnQnBH0M1S5K\nv55ulZqxr+0bsj5KWBDtzZ6COtY9noDdCLlBn6VQE39/LIGFCQFD3rY+Yl/dQ0f3jVGSJAS6kHW+\nBdBES54f68PevFqeTQkjMdgNlUrNC59kse6xBOQy2aBPCKs/Smd3bi13jfVh/RMDbp6GHEMx/5ra\nu5n3tzRq2y7j5SAnwM2RzUuT8XaxG+LeWgbzp+kM1KKIIGiCKIZ7KXh+5igUdvJrGoNVH2awJ6+G\ncE9H/rNmigkB1T+hpUR5WSQN6O/5G3VCuB6wxjIaRuRXN3PX308MSV2u9ja0X1azfGoYG9PKWPdo\ngsYkTi8mytUeu68G+dXNPLzuDJLUAAAgAElEQVTpJDNHeXEor5a+MjDbAV193BssZkd7E+7lyNZj\nFfSKIgKaePsrpoWx6Wj5oN9bIkLxAS68/k3+oMw/bxboE9KOLhV3rUtD2aoJu5wc4sa/Vk2+Ye0P\ntMs+XFhLZqVG6Swh0suRz1ZM7nPcB6pfE/SuiAP5SiovdpEQ6MJHyyYZMAVL4w1d6zveCrAyhOsE\nS6Mkir09PLv92nUJb94fg6eTgy7fbFdPLy98fBpBEHhvcSJymUx370bLi6X2TpbU8fjWH0zKLb4t\nCIWdnK3HKpgb683uXEOHoNOvzGbWO6lc7DCVQbmNgN/eH09RXTuLbwvhjV0FzBrjjdwGCpRtRPu5\nIJeBXC4zCBZmySK+VSOv9qdzaGrv5qV/naGm9RK+zna8/VCCWWI7GELeX7nBjmG3Ss3+vBpOVzWT\neraOsoYOwtztiPJz4ff3jCW7usWgLXP16/dJsk4K83CgXCtuHMrgd329w2AZxM3CVKw6hOuEgeSH\n0v30c62M8XUwW8ZSvHb3GB4YH8KdMT66vLNymYAIrEgJQ6VSs/zDdI4X1193eXG3Ss3eHKXW5lzJ\nig8zdB6fJ0qbzD6z4/tzbEorp1cU8XexN7jnaCuQUdWEfx+ijaYeUNjZsjmtnJ9+ksWevBpSi+pR\n2Nny/okK8pWtPL8zC5VKbfDeg/F8vZkTlZjzvehP5+CmsOX9n0wg1EPBocL6PrOLSUl0BvLWHajc\n1Yyh3QgbXp4/hs9XTibc05Hyi13sy6vl8S2nTL6Zufr1318KePfRMxOZG+3Dsilh1xT8zhJcje4g\nraie5dvS+dknWX36ZxhjOD37LaYggiDYCIJwWhCEb7S/wwRB+E4QhGJBED4RBMFkOyIIwmJBELL0\n/qkFQUjQ3hsvCEKOIAglgiCsEwTh5jUg14MlURJXTotgc1o5hTV9CVRMIRNg6aRg/F1H6n4HuilM\nQwBE+7BlaTIvzh6NXC5DQNClI7yeSCuq10VrzL/QaqAIXDktgqduDyEhyIUPliYi13ZJ/+y59USF\nQX0d3SLLtqWTe6HdbHsvzorUjfX6RUm6UBHSNUHQ1J9fYxiJNSXKi3cfT0SlVvcbPO5mCxlgDHPE\nRz+EQ1pRve6vflpOKazGf82JMh/wzlIl7gDlBjuG+uEgMqqaeGHmlTAwpQ0d+LuO5Hff5PGbz7P5\nRqvkN65ff+1JitcAdwc2PZnMKwtjrrsS1njtW0K4U6K8mB/nx64cZZ9hRYwxnM5pFouMBEH4OZAM\nOIuiuFAQhE+Bf4uiuFMQhI3AGVEUN/TzfBzwlSiK4drf3wM/BU4Bu4F1oiju6a8PN4PIyBK0d6n4\n++EientF/N3sWZ9aQm+viiajJCR3hLvz7qLxONrJ2Z9XQ96FVpZPDee7isY+k5zo40YeRyXTTgSY\nEullIKKqa+ni3veOo2y9rDu2b/u2jFf/U3BVbdnLBfb8NIXQfgKZ6YdqMBaN3KoiIX3oj7dx/Hzp\n/VZOi9CZJ0rKUkmc9O/Mc+zOrSXSy5Evn7uicB0qkdHVvE9aUT1dPb38dGcWy6aGEhfggqpXZN3h\nEsoaOgzKr0gJ5xdzRt9wpj3YUBoDzTONqExJ/oVWVs+wTJF+Pdb1kIqMBEEIBBYAW7W/BWAm8C9t\nkX8C9w1QzePAx9rn/dAwlpOihiNts+D5WwLdKjUbj5ay9Vg5kyI8eXpKOOn/M4djv5rDmhmR5L42\nl4o3F1Dx5gK2L78dN4WtgTPK+yfKdSaFA02GG7nTtZXLmBntg1wmM2l3xfYMlK2X8XEaycppEXSr\n1NSYyQtsKS6pRBasO8br/8nlm6xqszswKVRDRpWpuColyot3FyWi6u37lHCzw1YuQ24jY80O0/j5\nUiJ4KW+y9FdftzAn2ocwDwdK6jtYe+CsQb3mwkcY73SNy0nhHfoSe3Sr1Hxz5gJv7SnUhSSR6tQn\ncHKZgFoU2ZJWjt0IOQq7EVRd7MRTMcKgvk1pZaz6KMNiMctQYTC7c0vEZmlF9bz4yRmSQtx1THmg\nNobzBGtpi2uBXwLSjPEAmkVRlL7WeWAge8dH0TIEbdnzevcsef6mQX9HxbQiTRLxVdMjDSbKQLbF\ng00CMhxyRuOJ3N6l4tUvcijRim3manUdu7MvsOFoGeEeIw2eHzkI0VZHj5oPvq1kzc4s9udq7Mz1\n4x5FejkS4u5AQ1unyRjYymXIZTLWfHx6WI7dQwVjgiONvxS9VtIrSX9t5TLdM3eNCyDcyxGA7ysu\n9jtPLNErrD2gyVq2aMtJs0w6raieF3aeZsPRUjYeLe3Tbn9mtA8bFiex/okkUqK8dP098OJ0UkZp\nQlcobDVk6VBhHb/8LOuGzfFulRpVr5p3FyX2S+QlWEK4zYkw9b/rzRYJeECGIAjCQqBOFMUM/ctm\nivYpexIEYSLQKYqipOmy+HlBEJYLgpAuCEJ6ff3Nsbj74/DSx9bPQ2wJBuuMMlRyxsFMSOMwxOtT\ni9n2XRVtWr+E28Ldae9S8ZcDRYhAWaPhKeGyqDGJ/P7Xs5gd7Q3ACONG9OBip0m8LukJ0orqeW67\nxvns6X+mU9rQwa++yDdJutLepeJEST3x/s7EBwxNYqPhWLjmHCLN6Ufau1S8taeQb85cAK7I3n21\nORSyq1v7nCfdKjVnzrXo9AXSe+rrJQDKGzp1dT2/M8ukvpQoL/76cALzY3155o4wA6JnnHxnXpwf\n88ZqTsD6AfO2PjmBrUuT2ffiNMI8NQYZu/NqeXTzSX7/df51Py3oO5heq1+SZIABGJz0jMVBaUX1\nrPhwcErn6wlL3voO4B5BECqAnWhERWsBV0EQJOoVCFzop47HuHI6AM2JIFDvd5/Pi6K4WRTFZFEU\nk728bg6rkP6Oild73BsswRkqS5mBGIt+v6R3O1XWyIoP0ymvu+KVHeRmx5xYP/68N59zTZfM1vXu\n44nseHYS3i52vPNoIskhbvQAScGurH0kgaUTQwCI9lUwc7QX94wLZEVKOKu1eSgmhXuwYloY6x5N\n4PawK/mhjbcXG4+W8sG3lWSeb+H1b/KvfnD0oK8UvZGMwXhenDnfwurtmezPU+oI98ufZ7PhaClr\nPj7N/rwrXrs1bRpPEGc7eZ+MMa2ons1ppayerokCqjNnPVpqMC9CPTWnjfgAZ/7+WILJvJNiNR3Q\nKo3114Gla0IqF+DuwL4Xp7HxiSSSgl05XdXM+yfK+fuhIovG/mqZ91CuKf10mfr1Gq+3lCgv5o0d\nnNL5emJAqiWK4q9FUQwURTEUDWE/LIriYiAVeEhb7EngK3PPC4IgAx5Gw0ykOpVAmyAIk7T6iKV9\nPX8z4nrI+Aa74x+qPphbBPoLypw4ISXKi2VTw9lTcKWvP52pCQ/8nyzzYSAOvDiVheP8df21lct4\nfEIQScGuLL4tmJf+dQaFnQ0yAX46K4oYfxc+/K6SETYy3anpVFkjm9PKsbOVc3ukJzJBo3ycOcZQ\noffMHWHMjvZmzhivq05i09c4IXBDLUCMRS+btEQj/0KrjnDvyVHqdtQ5Ws9ugABXzbXWLhW/+TLH\nbP1SGBbpRCu9p75eAuBnszXpVHc8ezsLEwLMzjtLLLwshRSeY+Pi8YRrmVG+soVl29J55h/f9Rtm\nW9p1rztUPKh+DOWa0k+XqV+v8Xqzlct468H4a84ZPVS4Fjutl4GdgiC8AZwG3gcQBOEeIFkUxVe1\n5VKA86Iolhk9vwr4B2AP7NH++9FiuGzjzUUKlWynE4JdGevvRK8ocrqySWftYiuXcbHdUByUEuXD\nn/cW0NxlfgGO8nU2aeO/Ps9GLcK4QBedKCopxJ2UKC+mjPKiq6eX4to26lq6yDzXhEplKN9dvzgJ\nROjoUrHuRLkurPSWY6UcLqznvcWJV+2BbHy0l8ZJiiZ6o76TNC/GB7ux5Xgpf304Hrnchq5uFbPG\neBPoasfKaeGEezryy89ziAu8chKwH3GFsKl6+zfBNfdb/3p/kVr1n5XbyCwO6GcuSKHxvezqFiob\nO1igNd0EOFZykWMlFymqaWXT0gkm9aRE9R8d93pDEovpw9hKz9IouDcaVk9lKwDTaI6LtpwivbJJ\nJ40R0cj/tyxJxk1hS+wru9B3MB7r70TuBY0ISQbYyzG4X/HmAoP22rtUzP/bUc41dTEtyoN/Pj3J\npE/Pbc9kl1aBXN7QiYjIfL2orpLZ39xYX3blKFkzI5KEIFeWbdPMkacmhzAx3ENnJqvv0Q3oQiHn\nVLcgCDDWz4leEXb8UE5GpeZdHkzwx00xElGEGD8niuraiPN3YfoYH46crTUwJ7R0fK9mB/r2Po1S\nd0GcH3fH+7F6e6bOwsNGz2tdv/72LhWPb/6WnAttPHl7MK/fG3dd+2hJHf2ZavbnnTwp3INvzpxn\nU1oF9a2dtGtjqi+bEoZMEIgPdGFOrO+wRXsdCAfza1n+YToCAstTwtmUVsr6ReYzt10PWGp2+qPL\nh2CFeRiHQtiyJJn//iKH6aO9KK3v4FRZI+mVTfzqi2x+OjMS42gTEjMAkMswuW+M4yX1nGvSyLib\nOnrMlnnj3rGcvdBCSX0HC2J9UCOwK0dJmKcjL8wahUqt5t3HE5kY5kGYp6PuhDA/1pc9eTV88G0l\n205WsWq6qb0+aBKmi0a+V8YOdZ9nmVeN6Yf7/ibrPKP9XfnDfXGkFdWx44dzvHFvLK98lcdDSQFU\nNnbSflnF9u/P8faD8Tw0Iaj/wUFDzN9LLSHW35k5sb6snBZBeUMHe3KUiKKaPz84lgMF9ezPr2XF\ntDATXwXQ7OonhnmQc6GNETLLwkNvOFLCpiXJFu+q+zpJ9YX+TsLm7unX99jEUB6bGEr1xU4e2PAt\ndW2X2Xq8HNB8ty1Lkw2C0A32hDKY9xxsXZIYCQFUveINcygdLKwMwQrAdDG6KWzZsGQ8B/Nr+c2X\nuUzVZrPyUdhy33v9B+4bKZfhbmdDTat5Qg+QV92s+/97EjS7JGNnMzeFLSXaODW78mpZMSWMpGBX\n7hrrw7y1aZQ3dPD3xxN1KR2lBfrH++MI83QgykeBna2cKZFeJAS5Mincg4QgV52534qUCCK9HMlX\nthmcEDaknqXEyEJqXIALORdamBPtTYiHI5uPlevuVbV0U9VSR23L92RrGePDG0/S0aMms6rZoJ4d\nP1TpGIJ+XgNjJ8SNR0vZcLQUmQCbl2gI3d3xfoiimt25tYR7OfGXRxJ0jM7Yr0AiVGMDXBGAsQGu\n/X4zyVx63lg/xge7cTC/1izxiw9w4bWvc5kT7cNd4wJMNhIDoT+GMRAzkRDg7sCxl2dyuLCW9Iom\n/u9EOU/fEUZXTy/vHChiy7GyPvuzO7uaFz/N5qnJIYwPdjOJhaX/rvrvL73nu48n6hIS6b+7PiMy\nxxz0xUjdKjWbltycoVOsDMEKwPxibO9SkVl1kbWPjONkWaPmoiCg1ttC3xHhjq2NjNSiBt21tm41\nriP7V+b9PfWKSuk/WUqWTY3kla9ydXLi9xYnmSgEN2l3g8/8M10X2TPvQisLx/kDGnt6KerrL+dH\nGzxrLBc/XFjL5rQy3lucyP/cHWNQ9u6EAPbnKck530K0n5OOqeiLm7pVIh+crADAzga6ejVj89Tk\nED74tpJfzB3NN9lKHkoKYOuxcsoaO3G1l7Nx8XhdO5IZrYjIZqNd+cppEfSqRWL9nXXEZs3Hp1n7\nyDhCPR0Z46PgeEm9WTm5PqGS22hOPNtOljMtykunUzEWEXb1qJgd7cMe7fjvzVUanBSkOhOCXEmv\nbGJ3bi0Ke9th1X3NG+vHzDE+TAr3QKVW89z20/SKIi52cv56oJD4ABddGHDpffdoAyx+8G0l//i2\nEpkgsGnJ+D7HTz/bmpSJTp8JGFsPWcIYLWV8wwErQ7BCB+Od0d8PF7EprZwVKWE0dGhi4pTXt+Ni\nL6exU8XkCFc2LZnAwfwaA4YAcG6APEFyQJIqOWvl779dGENtaxe/Xagh0OYseW4LceTPDyWz5uNM\n2i6reGJi8JWbevF3pNPGbxfGmETSNC5rDFu5jIXjAlg4ztBXUn8RTwx3558nK1gxLYInJgbz00+y\nWL8oCVdHW+6I1NjePz0lHID5Y/35zRfZzIn1wdXxipI7JcqL9xYngogJQVXYyfnZ7CgD80SJ+NjZ\nynW7VX2PbH1/Bams5NSXea6Fn3+WxaYlyaQV1aPqVbPm49M68dlPd55BFEXmx/mxL6/GxLFSqjM+\nwIX/+U8uQa72TAr3GDbipq9bAEgKcuPOGG9OltTT0qWiRdnOlLcO8bt7Y3hgfIiOYL/9UBwyQWDW\nGG/sRsiQay1/9NGf6ErfqED/3YeLMQ41bF577bXh7oPF2Lx582vLly8f7m4MCt2qK8m8b+YE8KBJ\n4L7yowx61SLxga58+v05Shs6SA5241fzojnfdImzNW3UtHXjrbDlP8+nYCMT+CLzPJnnmvF0kJMQ\n7IKz3Qia2rvR39/fN86f//4im0uXeyiq7dDl3AWoarrE2oPFbDlezoWWLiK9FYwNcCHQzYEfKho4\n33Qls0J1Sw8/mRzKhqMl1LX1UFrXzv1JGpeWYA9H4gNdmT7Gm19+lsXu3Bp+qLjI1mPlRPkoiNJa\nOnWr1BQoW1CpRTq7VcT5u3KipMHgG7V3qVh3qJhoX2eOnq2jsKaNoppWyho6CHZ3JMxLQYy/M77O\ndkT5OuPrYsdoP2ds5TLCvRTYyATdtx/l44TDSDkv7MwiLsAFbyc71h0qJjHYjRh/FyJ9nMzODel7\nxAW4EOLhSGVjJyEejoR4OBIX4ML0Md6cu3iJ1TsyiQtwIdxLodM93JcYgL2tDWUNHXyjzSgmiBDi\n4cjKjzK4K96Pe8YFkBLlRYiHIzH+TiyI82PppFBsZAIrp0Vgb2uj64uNTCDcS4GjnRz7ETa8sbuA\nhCBXwvuJN3W1qGvp4skPvmd6lBeO2tg/qYV1eDvZkVZUT6CbA4cLa1n1USYial7/Op/zzZfYk1vD\n5d4rHL5XhIOF9ah6RR5ICtSepHy5NzGAmAAXonydifR2olctGqxR6V3NfZO+7vX3zM2A119/Xfna\na69tHqic9YRwnTFYGetwIiVKE6l1wxFN8vIDBbUsiPPjmSnhvH+inOemh7NAm/jHy2kktnIZn3xf\npYtkOj7MgwP5miO5ux006GXImf6XowAmORHM4eV/57A/9wKnKpp4ZHwgp8oM5fBSXQAnihtoau8m\no6pJt1vsVqnxd9WkGvVQ2KIGvjp9gZzqFuICXJHLBH7+abaOYR0sqKOysZN3HhnHXfH+pBXVc6K4\ngQ9OVvCfM+epunjlRWQCjAtwJSHYld5eNdu+qyLWX0H+hXaeuSOUhGBX5DYyJoZ68MpXuezNVfLr\nu0bzv3vO4mQn58OT5Rwrquefpyrp6e3l13cZiquMv4e+SGLFh+msmm5or268M914tNQg+fzMMT68\neX8MW45Vsu3p2/BytjPY4UqQEgwdzK8d0FxzUrgHK6dFMCncw6weZLAB9CaFe3C8pB6VSo1cLmNL\nWhkZVc2s3pHJv1ZN1q0hfaMAlUqNWhSJ8lLozHKD3R0Y7aOgVy3yfydKyVNqAuZtSitlfIhbn+8z\nmDU6lNZLN5slFFjNTq87bsaP3h+k/o4PduN9rW2/RGRsgF5tud/dE427w0h++3UejR09OI+04dWF\n0fzX57k8kBDA5304qF0PxPk7k3uhlTnRPhw6W8ecGG/25Nayano4z06J4JWvctmdo0REQ9DXL05C\n1asmq6qZzKomMs9pnLnmx/pyb6I/z20/TVyAE1nnW03aCvd0NInMaQwZ6EIeL4jz43BBDZdUV9ZZ\niLsdlRe7WHZHKMlh7jpCKDnYmZsvkhWQsbWUOb2PcYL2wSRtt2S+7s1RsnpHJusXJSG3kbHiwwyd\nHiQlyou/7C9kc1o5y1PC+MWcMbqAj8bt60dt3XCkFLUoIhME3noglp3p1axflIS3i50B45D0OPr6\nInPZ8iS7fymt6pRRpqbHV2MtNJSRdG9kVF5rxjQrrgnSov/rw/EUKNv4oaKJzHNXdurG5pneDjbc\nPz6YzcfKkXGFcVwtxvopKKrroLt3cPNzQZyfxjQT2LBYY+fdrVKzP1dJzgXNCUHfXr29S8U7B4o4\n39zJm/fH8115I6t3ZPLnBzRmnV09Ko4WN/LU7SFMjPAgKciN//kyF5Uockib4H56lDsjbOQ6M9R5\n0d7Mi/PnbG0bz82I5Pff5PFJ+pVYjlE+DjiOtOWJ24L55ec5mnzDaJjI/LG+vPhJllkiYY4wWrLJ\n+NPuAjallZEY7MqHT0+86rwBUvvNHZd56fMcZo3RWD7JbWx0RFf/hCIAG55IIre6lXdTS0wymhmf\nELouqyiqb2f19KH369Dkdk5nbqwP+/Lqrjrd7K16QrAyBCuuCVKe5rkx3uzOMxTzBLuNYNYYf/5x\nstJEJ+sqh2YzPgi+TiM49Zs5ALz+VS4fnKzU3Xt1YTTnGjt116aN8mTLkxM4XFDLqu2ZuNnbcPGS\nKYtxtZcRF+DGgjg/yhs7ifN3ZvoYH46X1FuUT0KCvthD2klKi7SvvATdKjV/2VfIluPlrHsskTmx\nvuzPVZJf00qMn4sBUdfkxyhmX84FKvT0IStSwkgMdkOlUrM7R8nuvFrNKSXB32zfr5aA/HFXgS6f\n8SPj/fnzw4l9lq1r6eIn//ieutbLzI3x5tcLYnXEWSKqCUGuZGjNaWXA5qUaayRpx3vnGC/25tdp\nGMLiJB2jGOiEcjVpOS0dD+mEtT61xGCz8GOBpQzBqlS+xXG9lNbB7o5E+SjouKxC2dxOe/cVFXFL\nl5osvZg5EiI8HVC2m/c9aO9W8+SkUOxtbYjxc2bL8St2/KO8FfT0asIUAKyaFsa4YDeCPRyJ9Xdm\nYpg7+7W7b310qUTON13i0QnBPDk5lChfjVI30tupT0WtOaQW1rHqI41XdGKwRtYsPWsjE6ho7GT1\n9iuKW+l6x2UVu3KU3B3vz2g/Z6J8nbkj0otQT43SNyXKi161yImSBh6/LZi7xwWQXtnEGF8HKhsv\n8ZPbQ7kr3p8oX2emjfamtK6d/QW1zI31Jdrf2Ww/JSXzYJS5icFurD+iiYGUp2zD01HO61/nMyPK\nG0c9At3epWLe39KoaOyks6eXnAutyASByVoflEA3B9Qi7MpRMmuMNxFejjw/M4I7Y3yxkQkEujkQ\nF+DC01PCifF1ItTTgQfHa/JqT470HJBoS8+nRHlZ9O0GMx42MoHkUHdi/J1ZGOfHzGgfA8X/rWD0\ncS2wVKl88wu1regX1yvdnpS0Z+uJCpRtV7b8Lrbw1O3BBmUVtjISA13xVpju/pz1Qgm9+EkmB/Nr\n+dvBswZlfihvIrPqou63ZMIq5TX41Rd5vHm/eeVrfIDrNZv66UdRtdSDFjQnkM1LkpkZbbib1Q9m\ntj9PyfJt6ezPU5Jd3UJOdQuP3RbKlqXJzNETWSjs5IR6aghuTrWhEl2/H2sfTSCjsslsYLdulZov\nM8+zYls6X2aep71Lxd4cpebEpIdXvirQKW31sfFoKbVtGv8Oe7nA1Eg3nrkjzOC9Vk6LYOW0CO4d\n50/qWU2Oa/2AhVJ+BjtbOZvTyjkl+a9YgMEGlxusqafku6CffMrSHNMSBkoUdKvDamV0i2Owi8L4\nmK1J8VdDzvlm4gJdmBN7ZbGsnBbBmfNNHCu+sqjbewCj9Nft3WpOnzclYl6O4OGkoLVGkzc5+9xF\nVpQ04qBnzghwproFF71cOreHu5m83/hgN94/VkmxkUL3vkTffgmIJWIFKYrqxifG9+llak6EYXzd\nXFv5F1pRa/8+OzWCubG+TAz1YIRcxrpDxQZilGgfJwDK6jto71IZpL08XFhLc0cXf9lfTH1HD8eK\n61g2JQK7ETLG+Drx9D/SCfF0IPWshvjvy69l9fQ2Nh4t04RJ0MMb90bzxWmlJpSCHiRnOLUosvVY\nOSdKm8ioajJ4x1NljWw8WsraR8fpLI3MQd8S6XphSHwg9PxRLJkrko6kvKGDdx5N6LPcrWZMIsEq\nMrrFMVj75z05F1i9PVNnl//BiTJ+9e9cMqqa2Z1bQ1l9B9P04tL897/OIBnILJkQwJQoH4OwDRLk\nAhj7Jnf2QINekneVCpZNDePbsosG5dztZTTr5ZtuaL/MIm1uBOn9/ryngENmTkFHiho4WlTL3Gg/\netUi6w4VEx/oqluEqYV1PLstnZOljcyO9jGwrZcwWFGFPvRFDocLalm5PYMYP2eCPRxJLaxjYbw/\nI2xkrJoeyaa0EnZ8fw4bGWRUNvNuaok2MJsrf9lXyKnyi5Q3dFLW0IGqV6S6qZM1OzL5PLOKf56s\n4kBBPZ09mlGua+tmX14Nu3OV7M2t4VzzJSoaOxkX5EJt62UE4MlJIdw9zp8F8X6k5ivpUYNiBGxc\nOpFHJwQb2PgHujlgb2vDlFGeTAzz0PklTB/jbTAmgW4ORPs5kVvdwqa0sj59EdKK6nnt6zzdfWPR\njOTnof+thgP6vitSlN/i2nZAJNTTdF3FB7pS2djJ3lwl8YF9+2Ho+/Qkh7pf07waClGW1Q/BCrPQ\n37HeFurBH3YV6u4lBLqwK0dJoKsdE8I88HcZiX4065cXjKVHpSbvQjNFtW20dvbosqWpzNgmhLjZ\nUamnRFUBHd2myuGLlwxZSVeP6XE8q9pUZyHhdFUrT//jBzydbDlQUMd/zlQT5uGISuylsuESNgKk\nVzaR+MYBIj3sUbZcIthDwZOTQ1DYjeByj5pt35WxbFs6cf4KBGQ8elsQ+dWtnChv5OnJIVQ2dtHc\neZndOUoWjPNjUqg7ZY2dRHkr+MVnOby3OBGVNqaHSi2yO/sCP/v0DO88Mo7HJwQxf+1R6lo1Y7H+\nSBm+ihFE+yloar/ME1tPGehkBEAtivzqi1yTd5VMf51sZfz+vniDE8KUUR787M7RfFfeaKIEV86L\n5vVvCgjyVNDU3q0LYQgWpLcAACAASURBVNGXDb5x5FQJkhhvU1qZiTezPoxPrsbtWLrTHgjXuhM3\n9jaWzIX35dWw7jEorG03OMUp7OS882gC9ycG9Hsq1/fpuZoQ3MPlv2S1MvoRQWPtUgQiPD8riife\nP0WW1gbfxRZevy+eFz/NJjHYlTNVzYyQw2U92rxmRiTVDR18oY13s3RSEDYyG06V11OgNBTlzBjt\nSerZBuzlcEmvjlB3eyoums+oJmGEDIr/uMBgsTd3dDPlrUN09xMiydgU1hLItM9c6ypwtNGckIyN\nofR9NwaDdx9LoP2yxn8gxMOeu+P9Udjb0tB2iVe+KuDN+2N4bGLYwBVp8daeQjZok+vMGuPF+z+5\nDTBPUA/m17J8Wzrz466EGtfH1RBh42fau1T84pMs9hXU8u5jCSxMGHxK9auN0Npf37pVatanFhPj\n70y+spX1R8pYEOd3VUzrWpjVUIucrOGvrTDBxqOlbEorZ82MSBR2chIDXXUMIcDDCbsRcu4a68Pu\n3FqDhCQAUV4ObDhSYqA+yKluJetci1lieu+4AFLPNhgwA9Ac0c0xBH1iPj5UY2FjvEtKfWkGD244\nTk2bqSXTu48loFKLnDnXTMXFDtRqUIm9VDV20dpxiZZuTRsRHvZUXbxEtwhLJwVzW5i77oRw5ly7\nyQnhYGEttW3dxAc6k23GUU1CRx9UfyBmcOdoT0K9FER6KThUWE+Aqz3JoW46X4nHtKIzCd0qNa72\nI8mvaTXQMxiXMSYmz82I5LP0Sho6VNS0dhk4qxkTUk2iIjddqHHj5C36cX2Mo6L21w/jhDsRPo5Q\noMmZvRBThqDvXIYomkQmlSK09ndSsQTG80wKjDh9tA+VjZfYnaMkwNUeuQ0W+UhIuBYdx3DFiLIy\nhB8RpJAHK6dF0K1SMz7EjYrGDlKLGvBzsWP19kyenRrGqmkRPDcjEpmo5uvcWkZ5OlLW2MmyqWHU\nt3Xx9RklySFu/O2xJF79Moe9Riah06I8uDPGF/eRZ7hoGEWatGLDIHgAMX4K8pXtut8zx2isb4zF\nDgHuDpz6zRyqL3Zy59up6Eua7ojURPK8LykQYxh76pojmA8mm89R8Fs956l/ZVTyzoFiZo7xJre6\nidL6LhO9iTk4yMFdYcfTU0JJLaznbE0b25dNpPLiJYM+SMR/oN3hrpwa9uTVgIhJVFcwL25Q2MmJ\nC3Ql9WwD3k4jTUJc6ONUWSNZ55qJ9HJk6aQQk/olmPMW1u97f2KPbpWaKG9n5sf68uwU86kjpdzE\nAKKISWRS/fnRrVLzzoEiRvs4IbfRiLws9UPpyzBDEg+FeTryntZ/QSbIbprsZtcDVobwI4LCTs4L\ns0bx74wq3jlYQl3bZTY8kURsgCsbj5YyP86P909UsDwljOPF9fzuvnhCvMp55o4wMqqayKy8yL9P\nKw08Tn93Xxx7Cw4ZtDM/1o+D+TUmzKAv+LnYGzCEv+w9i7+LA3NifYn2dWLe2jSW3h7E+abLIIpE\nejsyZfSVBDUAC/52mG9/Mw8wzTNgnKJwMLsvKQ9uWlE9iyaG8ZM7DImXZKWVd6GVJyYGs3jrKSou\nXiLWz4k8pSbk6x/vj+e+8RqGE+yuYOVHGVRevDSo2DoSoVWp1ezNq0EAYsz4KkDfBG5hnD9Hzjaw\nMM6fuVoCLm0S9Al5SpQXc6I1Don/+LbcLNMBzEaM1e/7pHAPlqeE0X6pm725SoMQ4mlF9fziszOI\niDw4PtDsWEhJZfRPCH0lz1l3qJgNR0sR0Oad0eaRGIocDS/MGsUYHwX5Na395j2+1iQ6NwOsVkY/\nMuzJvsDP/5WjU+6eqWpm5bQw0iubeOuBOBxGynnvSCnf5Cg5VlzH7DHejPJ1pqKhA0dbOTYygRdn\njeJkWSOBbg4s2/Yt1c3dBm0cPltHnrKVFiN5kaudQI/KVF4/a4y3QSKZXhH25tUQH+jKLz49Q1lD\nB0eKGsisaibzXDMHC+tN4gm1dYssmxKOrVxm4GgmWYKYi5g5GMe1vhygetUilY0d+LrYMTbAFQ9H\nW/bl1fLz2aNo6uxB2dJFuLcjd0RqdrGl9e3cNVZjvdPa2cNLn51hcriHgfWTOasnqQ93jfVj3lgf\nQj0ceDg52IDwSFYp+hFX9VFW386e3BoEUWSOtg/61ljSO47ycUJEZG9uDUsnh+iixBrD18UeQRB4\nIClQV49+30+UNPDqV3nsza9lV7YSmSDw2td5uvt9WTJJsJEJRPo4EeXrpItM2tc3iw90RRRh8cQQ\nFsT7cne8P5MjPdmfp+TL09WMC3KzyJvZnGWPjUzQOR0ax5fSL29unlytM+FQw1IrIytD+JHhy//H\n3nmHV1Vm+/+zT04OIT2k9x7SSUKXEop0LIyOiiiOo9IEy4zXGe/4m1GvM+PMeGcQAcEyOkpTdByV\njpQgKFKSQHrvpJNCEsLJydm/P/bZO6elIY7Xe1nPw0POObu8e+93r7Xetb7ruzJrOFveonxu79bx\n8fkamrt62HOhmiB3eyVW3tih5UBuPbpekRf35HIor57Spg40ahte+CKHSC9H3jpZqRxLAB6dGoKH\n0wiLTmFjAlz4+dRQMqtauNpjahJevy+ZvxsYUwF8HW34411JzIrxRiXoOW7Wa+H2BG9CPBwJcx1J\n6eUu5fu950p4eHoUAW72FspGhtvq9Hr+a0/esF5Qt5EaKi938cDEYAvY6rH8BlZtP8++rDoSA1zQ\n6kQO5tSxONGfR6eGcqKwkecWxHCuooWSxg7W7sjg9iR/Ir2deGb3BfZm1VLdcpVFiX1FatagxLKi\nnRHtRU1rNy/uyTWBfA5F8ZQ2drInq5bipk7ar15jVoyPxfGnR3lyVdvLFxcukRTkho+znVX4JUir\ngd99no0gCAq00njsAW72fF3cRG1bN2ODXPn9kgSlY931VJRbE1kph3k6kjrak2hDxXiEt5MUctqe\nzpmKFpOK6/5kuMrbfHtrhvy7QJpvpNw0CDfFqowJcANEFsR7k13VglptwzVDZ7KuHpELZonTaRHu\nOIyw4WKN9L3zCBX3jg/k1hgf/uuzTLqMFgFqlcCj08Jws1dbKPH69mscL2iyMAbTQh05WniZCiPF\nPjnck2fmRdOrF3nnqzKKGk1XAwUNnXy88hacHTUK1z9AmxbWzIiwqmz+lVHDmYoWxgW5sTI1fFgv\n6KZjxWz/thJbG5WJUtHq9JQ0dDAvzpvbxvgxY7QXey7WcraihVAPB/Zk1fJt2WWyL7Xz9skyFsb7\ncnuSv3LuW8LcqW65yst3xFutjzAWc0Ub6eXIheo24nylfg3aXj2LE/v3tkHy6N88XoIeyK9pJ7u2\nnd7eXgLcHEgraECPSKiHI5uOFfNGWikZla3KSs2agpSpLLaklVhVojYqgbkxPlS3XGX9vcm42Nta\nGDqtTs/+i5f4V2YNYwIG9+LNRVbKxQ0dSv2M8fiivB0JcbdntWFeDCSDKW/zFYH59tYM+f+UPglD\nNQhDhp0KgmADnANqRFFcLAhCKLALGAWkAw+Koqi1sl8isBVwRkLmjRdFsVsQhHuB3yAh8/aKovjs\nYGO4CTu98dLRrWP94QLOlF/mYk07KiwLzIzFy8mWy506Zsd4cdCI9E4NzInzYV6sF0/tvmiyT9Ao\nCdljTQRghAByXZoG+Pb5Obg5avgyt55H3z+Ht9MIhVJBljkxXmxaNpao5/ebfL8mNZRnF1jSXAyH\nAnqo+1ojYzPuCw3wn59mMTvaC0c79bD7BQwkrx4sYOOxYhbE+Ug5BQOtd0qgG2t2pPPavUmcLW9h\nz8VqdHqRXhFK69upMetzLSAhkDYfL0ZAStpOCnNn87EiorydsLO1GTA5O9i19EcOaHwPH3v/HCKw\nZkYYz87vJ1/Rj2h1ep7+MJO9WbUWbKo3WgYj3+vo1rH5eBFRno7YjVBbvd4fSr4P2OmTQB6SYgf4\nE/A3URR3CYKwBXgEeMNsEGpgG5KxuCAIgjvQY/j/L8BYURQbBUH4hyAIs0VRNM1O3pTvXRzt1Dy7\nIIaj+fXodHp+9ckFOnv6dxIarvRgbyuYGAOQis7259QR5D7S5Pv7JwTy0blqZo/24HhBkwUMU6TP\nGAC8tCReIVybHuWpwF89HGxp6jRWZpLH9fzCaF7e11dctzmtzKpBME4sD1chmyeljWmb5eStbDSi\nvR05mFPHkmR/bo315q6xAYoSkc91KLuWdbsyeX2Y+Hv5vH4uI3j3lMReesjQeU4UoVur445NJ6lt\nv8ZD756hpLGz3/oKG2BWjBeLEny4NdaXeD9nEFDuSb+J5GGKjBSSjY25Ip0e5clj08J466tSYvvJ\nVQwkGrWKP92VSKiHw4AJ3xshg9HEbEkrYfNx6bmokAz0j41RdUjmSxCEAGAR8LbhswDMAj42bPIP\n4E4ru84FLoqieAFAFMVmURR7gTCgUBRFmYvgS+Cu672ImzJ8kTHkspJZuyODzOpWOntEbA2z4vd3\nxuLpaDlFuqwYDI0Ak0Pd6DCqzHKwFXhgYhCOI2zo0YtDKtD69afZrN52TiEPWxDnzZoZYSQEuCjb\n2KvBw9GWQzl1vHKggIkhribHCPn1Xta8d5Zd35ax8gOJ6K28sYNZrx5n2zdlrP+ygJUfnLtuQkAZ\nSXO6tFkhY5NhnLl17SZKwxqnT25dOyLw7tfl/ZKkaXV6Pj5bwZJNJ/nwTCUHsmoVorzbN52i01Ch\nJ9/TMA97Cus7qG2/hq/zCP7x8AQemRICQJyvE9Mi3Rntbc8Iw+PsBe5I8uPOFImNdH6CL/PjfQdc\nCcjzxdq96O9eykihTcuSrSpSjVqCcZqT/Q1VtDo9p0ubWZUazunSZovxDfdY1q7ReKwDke+tSg1n\nzYwwHp0SgiAI6PQiB7JrOZBV+53G9e+UIYWMBEH4GPgj4AQ8A/wMOC2KYoTh90BgvyiK8Wb7PQWM\nBbwAT2CXKIp/FgTBDcgCpgLVwIeARhTF26ycewWwAiAoKGhsRUWF+SY35TrEePkrwwA/PFupQDnX\npIaxZmYkP3v3DOcqpCR0nJ8jOZc6+u15YC7/uXA0754sp7Z9iPhTI3GzU9Gp1aPVy0Vn8MLnWbR2\n95mV+bFe3JkSwCv78gatfrYWCnPVQLsWUoJccBihRqNW8/StETz83lnqr2iJ9rGjqqkblY2K/5wf\nyXOfFaBGUqZeDmo0tjYsvyWEA9n1/NcdcTz/WQ73jA0A9Hx0rob7JwRjp7HhyV2ZCla/vLGDJZu+\nosXACRLmMZKpEV7Utl1lUYIft8Z6c7q0GZ1ez6ptfWykKgFWTQ9jc5rkgdoIEhpLvq5X74pnfoL/\noPUWLR1a5q8/Qn2HnkUxnmx6aIJyDvOK3b8czOdEQT2rZkTiMtKWtTszLMIlw+1JcKMhmMZd1/rr\nIjfcY31Xugj5Oru1OtbtykQEVk6Tel8MtTbiRssNa5AjCMJiYKEoimsEQZiBZBAeBr4xMwj7RFFM\nMNv3GeBxYDzQBRwBnhdF8YggCLcBzyPN56+BMFEUlww0lps5hBsn1lhP/3wgn7cNfQq2PJACIqza\nnk5igDMTQtx5fEYE5ytbePT9oT8De7WKLive0eRQN74p60M7OY1QkxjoxKniFottH54czHvfVPDi\n7bHsPl9FW1cPlS3dSnOWpitd/PrT3OHfBCvioFEp3veNEGeNQLtWxM9ZQ5iXI9+UXKa/JnByPH9L\nWgkblybT0a1l+5kq7hsfhMtIW6ZGenI8v57cunZ+NjmUd06V0qsXSQpwZe4g3r38rCUCvj5DU/7K\nIuVvY4WYWdWqFK6BNB/64zcaqgykcK/XWFxvF7mBjnWjjnE0v54129IRkQiCRfGHa8xzI3MIU4Db\nBUFYCNgh5RDWA66CIKhFUdQBAcAlK/tWA2miKDYZBrUPSAGOiKL4BfCF4fsVfPeuizdlCNLQ1q30\nw5Vfyo5uHb/Ylc6h/EYeviWYiaHuTAxx5zf/uoiNILBmRoRSiXql03o/YXMiO1msGQOAvLoryt8a\nlcBvFkbxnJlSVwG/nBvFwWwpTv5Jeg2frJ6qVKVWt3YxNsgNBztP9l+sIa3EkgAv3seeK1oRFSJl\nl03H1/8K4Qz1V3qwFWCAdMqQpF0rHeBSu5ZL7RLLqznn0szRHqhVKmWFYAzNvHu8aaXw4iR/FuPP\nl7n1bD0hGe+HJwdbzUUY5zWe+ugCWx4YCwOAXYxj5JPC3Mm51MqxgiYS/J2YGOKuEOJdrwwUg79e\nMjfjorLhevXmBuBG0EUYX8esaG+pf7deT1ZNO2+dKEWnH5ju44eWYZHbySsEA8poN/CJUVL5oiiK\nm822d0NaFUwFtMABpET0XkEQvERRbDBscwy4RxTFwoHOf3OF8N3lJ5tPkV7ZSkqQK/9cMwWAP+/P\nU0IR82O82PLQeAXFYk7sFfLrvSbHSwp0ITnQlQ9OV+LhYEPdFR3R3iMpbrzKUMKmLhrY99RMsi61\n0X1Nx3vfVJJp1Fsh0NWOqlZJkQsCrJgWSmljpxLakpElf9yby1YrtNzLJwXx7PwYNGoV+y5KLJZ/\nWJIwoHKTPdlXlsSz61w1r92bxDcljVLLUFHE2V5Nbcs17hkfwEdna/B0sqW4oYMrhvyJcTTNy1FD\ne6cW+5Fqonwc6dLqefvB8fzHx5mkFTUT5+fIp2umDcgFNDbIjU3Hi6m63MUrP0nEzVFDR7eO1D8f\noblLR4yvI/ufTLXYX36Ga2aEkRI0SgkFxb9wUNmm8OUF/XrF/w4Ez4308I2PN5TjmK9YjPcFTMY1\n1PH1d37jSvO1OyxDb9+3/DvI7X4F7BIE4WUgA3jHcOLbgXGiKP5WFMUWQRD+CpxFcor2iaIoa5TX\nBEEYY/j7pcGMwU357qLV6Rnj70xGZSvLJgQpkzTK0JhFAOYn+AGmvEdKsxezTl4CkFnVhq/zSOL8\nnblgIMpbOyta6jGcU8crn2dQbX1RAUi1Ayu2nSPv0hXeXD6Od382ngf+/g05lyQqC9kYAHg6aBSv\nGCDMw0Hp6JUQ4GqV7fT905XsPl/NbxaOxsNpJIfz6vulSpBlbJAb8+J8mB3jw+3JAZwobOT25EBc\nHez64tVlJUR5u3D82ah+77WsGDYcKWLjsWLGBXsoStXWgEuvbOqktVOLq4PGIoS3/ssCthwvJcTD\nQanMVttks2lZCqdLm2k2FIHUNHeh1ektFNXyScGcLm3mZ5ND8XKxAzBJ/grAoZxanvrwggVNhkQq\np2dOjBfBo0ZeF4JnKMpZ9qg3Lk1GbfPdPebB+JOMxzMQRTdgkpsYao5isGZKWp3ehH/pRhrDGyHD\nOrsoisdFUVxs+LtUFMUJoihGiKL4U1EUrxm+/1wUxd8a7bNNFMU4URTjjWsNRFFcKopirOHfrht1\nQTelfzmaV89731SyOjWM25L8OVHYyMoPzlFYf4WN9yXx+tJk7GxVNLR186tPLvLIlFCTrl0LXz9l\ncry966awKMGX5xfF0NbRlzjW6XrRqFUsHuPHgf+Yx5rUMFZO65+qOefSFfTAo++fI/nlw+Rc6mDl\n9FAenRpisl2DUbOdpEAXyps6eedUGVqdngkho0gKcsXTwfL4V3v0PP9ZHuu/zCc1ypOO7h4F9WEN\nWfLOqTL2ZtXyzqkyjubVs+KDcxzNq1cUyKrU8CF3qWvt1HK+vBkbwHGEDS0dWl49WMDMGC9Aotz4\n+ftnLNA6Jwob2ZpWhh4UY5Dk78KcGC+JmDDIjVhfqRCsXau32gLy/dMVnKto4f3TfUCM6VGeRHtL\nN0kEzpQ2W1yLDBV9Ymcmv9x9kZTgUcOu3ZCPM1h7V/me6vSiSSvLwRA/5qLV6TmQVUt3j46N91tH\nNBk/S7BEDRkbCPNnPZxnPpAYn1MxQGkl30sb3OuRm+R2/0eko1vHh2crEIFgd3vFQ1o5PYytJ8rY\ntCwZtUrFqm3nSQxwIb2yFVGvZ/3SFGmp22v5Ysb6u/K3e5NYu+0c5Ub5g7z6Dhxz65kU5s7xAunl\nW5UawT9OlpnUHAwk/zpXzhdPziIp0I2Mylau9vTw8blqtHppZbDtkUn85uOLbDxWTFVDB9dEPRmV\n1nsRy5Jf10V+XRdH8hsobLjCU7eOtupRrkoNRy/qifZ2RKcXpRaUgmW8WlZaY4PceOtkCbE+zkwI\ndefFPbkkBjjzx/0FuDva0twh1U+8cqCArJp29mbVsjCuz4vs6em1gKdOj/Jk07JkurU68mqvkBDg\ngtpGxdodGTja2ZJZ1UpubQdj/F24UCOF22SRPfwITwfWpIZZENj5udiRXy8ZmYyqVl5akmhyn/pI\n5fSobVTXrQTN2UitFajJ9/RAVq0JUd5ABH/WPGnzegernraA8iwHE2u5iRsd4jFuDwuQ6O/CqwcL\nrqt48kbJTeqK/yPyt8OF7E6vAaCksQMfZzt6e/X856dZaHtFbh3tya1xPkR6OVLe3El5UxePzwyn\ntu0aq7ad50xeLR1GNmHfuil4OttxLL+Bvx3pQ6N4O41gTqwXv9h9AZ1ez+/35nOmooX0imYqW/tW\nEQ+MD+TzJ6YxMcSVT9It8QidPfDWyTK+Lq4n3MuRnWer0Yng6WDL3Dhvbgn34OndEqSvoLEDe40N\nDYZq5jnRXibkdyPVMFKtQiOgNNg5W97CqaJG/NzsaO3q4ZEpoUpBnEatoqVTy7pdmbjZ2yIAvaLI\nuOBRSnOX9YcLOFXSxH/tyaPychc7zlSxP7uOjKpW0gobOVMmoYmuavVKE55RI9X84+GJ2NqoeGZu\nNLvOVHJNp8dGEBjt42zSctJGJRDh5US0rwvTojwJ8XAkr6YNBHhgYggpQW5UXe7EVi1Q3txFsIc9\n0yIlxS3zKx3KbWD5pGAO5NSTGODKqeImVm07z8xob4VrKtHPmfkJfibEf8HuDow2cAIFjXIYNhmg\nLMa0DeacT+Y0F8atLK3RQijX1Q/XUICbPVFejgR72LMkOcCqQQga5UBigAszRlun9xgKl9GNbG0p\n359TxU288EUO1a1X2f5t5ZB4l4YrN7mMboqJtHZpOZBTh5ejhurWbvZl1fJJerXCLeThpCGjqoWv\nS5r5Mr+RhfHerJs9mmB3BwJdR/DP7D6qaTWQGu1NgJs9Lna2fPBNGToRbAVov9ZL69UeLrV1k+jv\ngofjCHxdRnC6zNR737FiMhq1isBRDsT7ufD5BWsgNejWwcWadiU3EOJhz+G8RlSCwFOzw/mnwZjU\nX7nGwnhvHp8hNYqfHOrKmQrpnDo9aHtFnl0QTUHdFW5L8CG79gq1Bn6l2rZu3jpZxvovi/jwTBmn\nipq43NlD9qV2smraqbtyTWokJIpMiZRyApuOl5Be0cqaGRE8OSuSmtYuHk8NZ1VqBJfaurkrxY+v\nippJjfTgreVjOVXczBOzIxgT5Ma0KE9Gamy4NdqLPRcusWvFJMYEug3Io3Msv4HHd2ZQ1NCJrY0K\nEVj/ZTGlTV0ISEYi2leq9A1wsyfW15lFib5kX2pj0/ESVILAPeMDSfB34e6xgXg7a8isbOW1+5K5\nWN3Gqm3nARQ2UlkhHs6pY9X281zT9dLZrSPI3eG6FKHxmKwpZNkIyMbHGmPrQFxDNiqBystXefGL\n3H77PFvjFTJW8MHuDoMS0X0f7KXydT0wMRhbGxWPTAnlVHHTDeunDDcNwk0xkxAPyQObEu7Ovuw6\nACK8HGgyhDOudOs4nNegeNZjA92YaSiiMc8d/O72GJ79OItIL0dWvX+GtmuS260HFiX48urdYxhh\nawMI7D5fTVWLZdFYSpCb8kJ5OdlxILuOlq4eEvydCPWwp6bVEsIKEgOrg0ZgTqw38+L9WDk9HK2u\nF0/HEfxxSSJH8ht5I62UCWEeLE704VhBX1w2r7aVho4ebG1tGO3laEKoJ0vHNT3lzVcpbWjH0M+e\nkFEjabuq46FbgvFzteebkiaSg1z5+ZQQ7p8YzJnyy7x2pJifjA0kIdCVRYm+JPi7MibAlXWzI/Fy\ntsPfdSS/2H2RBH8XAtzsOZbfQGVzF59drCWjspWK5k7uHhvYL8ldgJs9o70cCfGQiNrCPB2J9XPC\nx3kEmZWtzIvzprrlqqJMI7ydiPByYkyAGypBYFVqOCM1NoR5OqJRq3h5Tx6lTV3suXCJZ+aOZnzo\nKO5M9lcgr716kWP5Emne/uw6zlW0si9r4MbyMDCFtDym/pScbHxifSW2UnMZjChuuMyicgvO332e\nTWKAK5HeToMS0d1o9lJjJNk7p8pYlRrO2fLLN9zoDNUg3Mwh/B8ROWdwNF/qYYsg0K3VsTe7lpYO\nLevvS2bR618pRVm7zldT2XqFjMorFsdaOiEEb+eRfHK+mvrOvtj1+nvGsDDRT6Ej6OjWUdvUyRd5\npgnPV5bEKnFpubduaVMn3k4j2LJsHHl1VzhfcZ550Z7szTXtxgbQqRV54Ys8XvgiT6kVUAnw08oW\nJV7+yJRQfrE7w2S/xg4dwaPslFyDjEoKd7elpNmU9E1mcbW3hbeWj1O6m204UsTWr6Q2pIvHSNh/\na/h64xi0VqdHp9ezcWmySSexRAMdR/aldrIvtaOxUZESPKpfyOLceF+TeoP58b7odHpEIK+2nXdO\nlVugYMx5mGR59e5E5r12gparOv7fZ9lsXS4hEuV9ZUjmxqXJ/HxKCG+fLOfnU0KUa7RW2Hg0v56L\nVa28+VXZ9cEqhxHjtybDrSOQW3CunB6GTq+3itT6rucYyhhWbTvPvDgfpWXtE7Mjb0gC+3rkf15l\nxE25oWKNs8hOo8bO1oZff5pNnJ8rF2va+cuhQnavnIyngxoPB1sAvi5p42qPaTL5l7ND0ahVqFUq\nk45lAI52tiYvlEatsjAGAB+dv8SJwkapofnxIg4atqm/co2dZ6sUBTsn3sdiX3ORC8emhrsyKcxd\n6Qq34WgRxwos23V2dPegAh6dEsLrS5PZsiyF/U/fSuHLC/j9nXE4aEy1UVcP3LHpJL/+OJPFG07w\nz/MVBLnZEehm6V+/nQAAIABJREFUR0e3bkAkjHzvj+bXs3ZHBmoblQncccuyscwe7Um8nzMPTw4i\n1s/ZKtpEVhobjhRZnEutVqESBBICXIalRD5Or+GaTrp53s4jLH6Xxzg10pOKZsNKypBYNx6TMSrq\n8e0ZvJFWymPT+hTscGRWtDdbH5QKugaS4SKQ+ttXvsZYX2fWbE/naF79dzr29Yg8hpfviGftzAgF\n5j0QZ9L3KTdDRv+LRavT8+f9eby4J5dgt5GobVQsTPRlfPAo9mZd4sGJwSxM8OVoQQPfll3GzWEE\n7/18Ij8dG0h5cyej7NVcajPlIXrroYlsOFLEzNGevPd1OSJSpfGmZSkmseGObh13bDxKs1H3+Ugv\nFSHuLowJcOX3e3OJ9XWmvKmDzOo2YnwdSA5041fzonG0UxPgZs/GoyUUN0r1CK8siePtn03goUkh\n5F5qs6DTrrjczY7TZbz2ZRFOdja8ZpTojvZ2UJhSr/aIjPZx4E93JTEmyFXpmWCjEkgMcOWxaeEE\nuNpxtqxZUZg9eujq0dPc2cOVa3raunUcyWtQOoCBZewdTLucGfdBkEMfDnZqRtiq+MfXFaxIDefW\nWB+r4YgAN3t69SJvHC+2CNkEjXIg1tcJlUpgxmgvq0pEq9NzOKeO4sYOgkY5KNf6VVEjDVeuMSbA\nlZnRXib7yGM8UdjI+iNFAIwPlvIf8pgS/F2YFOauYOkTApxZnOCLj4sda3dkDDvkMZTeAeZhnuGG\nVMw7w4V5OlLa1Mm+rDoWJfpSdfkqKz84h15EafrzfYp8zSM1NtwS4WG1A96NGMPNHMJN4XBOHS/t\nzQOgqVPL30+VEezuwJnyZraklRHgZs8XF6UmLhGeDvxxSSI2KoFffXKR/dl1RHo79XmHwKxwVypa\nr7HxWDGZFS1cMpDW/STZjzUzI00m7h/35XEkv1n5LABp/zEXX5eR/GFfHg9PCeWLC7Xsz5VWB80d\nPZQ0dVLa0IFKELhQ1cyWE2XMHO3BM3OiWJwUgI1KYKTGhp+kBBDh6aDkQmTp1ono9JBm1Jwnzs+R\n3aumUlDXTlmTdC1NHT00tFxlapQn/30wn7TCBtqv6gjxcECjVhHl7UyXVqd0lhsX5ErzlW6Fg8hJ\no+KlO+Lxc7VjcaIfP0kJUGLvNipBeZknhbmTFCghZyL76QxWXN/B3qxaFiX4MtrX2apCtFFJHckS\nA1wtjIWNSqC4sYM126RucOND3JXf5XGUNHSwZke6BcLnk/M11LV34+Vkx+1JflbnUICbPaMNTWbW\nzopSFJaxwVi17TxJga7MjfMhwtuJoFGDJ2evV47lN/DCFzmsnhHBPeMDh318azmAoFEORHk7klXT\nzm2JftjYqPpt+vPvkhudvL6ZQ7gpdHRLXnGivwtblo3l/dMVvHG8mFtjvKVm5AIczKkjJciVjMpW\nvi1rRm2j4mBOHeOC3UwUK8BPxocwIdSdwro28uskz31MgAu/uz3B/NScLjUNexz7ZapCAbDlgbHs\nPldFRnUf9NHTaQRHCho5nN/Al/kNjNQY2Dk7e5S4eUuHlmc/uYBeFFkQ582WB1KYGuHJngvVbDpe\nQnN7N11mjFg5lzqY9IfDbH90Ikfy+8b0aVYtX5U00KTsUM6ffpLAkpQANhwp4s0TZayZEUaivyuz\nYrz574P5CjVGh1ZPVctV3jhezOoZEcyK8TaJKw+Hl2dWjDdvPjhu0FCPeU7COH6v0+nRA1uOl5IS\nNErZTqkCvj+ZDfcmkVvXrtQ5nChs5KLh/vs623Egq9YqE6dUYOiv5EsGq/Y1H6uxfNdmOmCar7me\nkIq1sWnUKvLrrvBGWgk2KkHJQxlTlv+7ZbDeC9+X3DQI/0tFq9Oz82wVALY2Aq4OGlalhlPUcIVD\nOfWsmB7GulmRjA8ZRUd3D5lVrXT36FH36lkxPZRkfyeF9lqWJz7MZM2MCA7l9SnWx6aFKVTLR/Pr\nQYQRNiJ5dX11AM/NC6e4sdNESXZ093DQsDq4eKmdjUuTiPB2pLdX5HxVq5L4TQ50VRTJJ+erlbzF\nkfxGtixLwdFOTXXrNapaunl0qpT8NJcOrZ47Nn9j8X1TVy/eTiPo7tHR1t3LmydKcHccoSj6J2ZH\nKkpn3ewoVCoVo72dUNsAIqxMDWNLWgk9ul60OpFLrVd55a7EYb3MGrWKsUFuPP1hJi/fEa9wLA1W\nhGV8L9VqFTaCwMrUUJNzGo/jRGEjb54oUwzG9ChPVs0IY0taKdu+rWDbmQrefHBcvwZM4eLp1ZvQ\nYA8nyTqYoRysmY58vwY73/WwlhpTtZwsbuSN4yXE+zsrpI434hzDkRudvB6q3DQIP2IZaFJ+fK6S\n85WteDjYcqG6TSHWOpRTjwh8XdJIaWMHixJ8QJSoeXNr23n7ZCkCAr1mpIcblyajVgmkBLnx7slS\nOnv0eDlpmBsnJX6P5tezZns6eiuVyOHebopymhTmzpe59dwa68PGpQJZNW0k+LkwN86XxWP8aWjr\nZsUH50iNdCfSy4mn5vRVE/92cTRflzThOELFpTYtOr1EVxDh6cjq1HBGG0EVHTUqNGqBy+ZLBjOJ\nGGXDgqQwXj9ayjsPjcfPzZ6tBo/d+J462qn51YJowBSBs2JaqEIMCKD6NItFiT7kXpK8ca1Ob9F+\n0/y5/eenWezPqUOvF3njQYlHZyDlaW5w5GSs+ZiNlYp51fCJwkbWzIgk1teFrJpWEvxcBjRgxquN\n6/VcBzOUfRXSIrreoaF+BhrrUKucwQyNJWJSNT3Uc/xvkJsoox+pyMm1/jp/bTAkAps6ewgaZU9r\n5zVaO7sRgRC3EWTVXOFwXgNPf3SR7Np2AKK8HNh8fwqv3ZdkcixPexvmxvkwP8GXTceL6ezR42yn\n5tPVU/peLsPL4z7SNKb7ypI45SWUm7/I3cYWj/HnuYWxLE7yV6CL9799mszqNjq1ep6/LQ5HO7Wi\nSP6VWUtbt46aNi0L4r0BgTU70vnl7gtEeDrw2pECAFxHqtmzbhrpv51P9gvzmB7uQn9yqqKL5z/L\no+HKNfLrrwwJ4SGPZ1aMN4mBEqne7Ggv5sV4My/Omyd2ZrI5rZSfvXuG148UsvFYMb/65KKCXDFH\n6MwY7an8L6NcjNtzmov5GIcyZq1OT2ZVq6IY5WdgZ2vDOyfLsdOoB73mjfcng8h3DtfIz9oczaNR\nq5if4IudrQ1rd2ZcN7ePNcMzFF4lWeQw3qyY/hX9DxXS+b7lpkH4kYqMoV49I8LqpNy1YjI+Thri\nfJ0oberkmU+y+MMBiVA2xNOJR6eGMC1iFCHuI+nu6UUEiho76O7pZe1OM/x+V68CE/08vRKQGr/4\nj7JXtpkV482G+5JovtrnVt2V6Md9E0NMFIC5ojNWDEfz6ilp7MTHScNr9/YZJTlWff/4AMI8JGK2\nA9n1ZFa2MDvai/vG+/PSnhzKmiXk0f0TgggxJOIc7dQ42Jn2ebYmIrBqWzrJLx6g3IBs6k+MFdvU\nCE8enxnBa/cls/WhcSxM9GPD0iSSA105V9FCrygyO9qTvVm1vPxFDtu+KeUP+/J4+Y4Y5R7kGwxy\nfm271facxtIfLHIwuKTc4nNLWomJMhsb5MacGG86unWDQi2za9p5fEd6v0p1OJDNgRT0pDB3HpsW\nRndP77Cvsz8xXyHtuVDDn/fnWW1hqtTs5NVzINt6+8sfEhr6fcr/rqv5PyTyBJfj3A1t3dz9xtfU\nXO7iy9x6/NzsOf2bOWx7ZBIL4nxI8Hei/ao0+W1tVDy/OI5OrZ6y5qt8eLaKmaM9iPFx5umPLlic\n6+3lUghl34UaWq5JCr9bb4nu+PBcpfL37GhP/njPGOWzNUVnscoRpER3wxWt0kBHwfLn1fPrT3N4\ndv5otixLYdWMMN45Vc7hvAa2n6mmzdBaM8bXkShvJy5UXibut/t560QJ9v1U/1qTlqu9LNzwFXsu\n1KDV6Wnp0LL6g/P8K73GqmI4XdrMlrQSTpdKiCo5CfvQ5GAEIN7PhcsGyOv731by/Gd5lDZ1sjmt\njNZOLT/ZfIozFVLjnDRDxepAnmd/ivRofr0JW6i5rEoNt4pzf/1oEftz6vjF7swBvefBHJCBxmZN\nrPWaluV0aTNbT5Tw5C7LMQ12jv5WzuYso/IqbktaSb/XsmZHOo9vv/6Vijyef2ddw3eVm7DTH6mY\nY7YfMvQ+TitoZNvpSmL9JJqAkRobFo/xo6juCpnVbdirVWx9cCyuDhpsgEN5DehFKG/u4tZoLw6Z\nFZvtWzeFieEe2KgE/nakiJLGTtQq+HT1Lbg79hU07fy2jPe+lpLYDhoVX6ybDqBgqX1dJC/9zmR/\nxasyhhBOjXDnV59c5Jm5Udw9NlAhOVOw/Im+3D7GnxmjvfB3s+dMWQv3jgugpu0qjVf6aLGbOrQc\nyKln19lqenpFvipqMunOJsu0yFEWtQyy9OhFDmTXkRjgyubjJezLruNATh1fFTQiCCJfZF6i7aqW\nEA/Hfvlvyps62Zddyx1J/oR6jORofiOCIOU2tL0iznZq0gqbOF/Zqoy/5WoPH52roKm9G5UAYZ6W\nUNX+qBOM4avWaB80apUJzl2W/z5cQH37NYLdR/L84rhBaSHuGR/Yr1c8VFoHrU7PJsNqxRrvkJeT\nHaIosnxyMLNivIfMZwRDg6UGuNkT5uGAgMB/zB1tlS6kP+6l4dYHfB/cR9cjQ4Wd3lwh/MhE9jjM\nq2Q335/CuGA3Hp4ShF4U0Rl5JB3dOi61S9xAXTo9fzkkhY5uTw7glSXxhLqPZPnEIA7nW9JEFNZd\nQauTEny+zpJS1+mhwkiZljd28Pxnecrn/5gXZcL3fqKw0cKTBtNVzqPvn6OkqYu/nypnfkJff2Al\nXh/trXh4W9JKeCOthPLLV7l2rS9pPMpBPSjrgY0Ac2K8iPB04pHJwRa/r78niZXTQtmwNInpUZ68\nfEc84R5SaCyzpo1f/TNboq7YmcnfDhfyRWYNH56ttAg/GMehq1ukeo35sT78eoGUuHx8Rhib708h\nJcjVZMwtXb0cLWzmqY8usv5wAS0dWv68P09ZsZiHKuT5MDXS02rcu6Nbx6sHC5Sxmc+fe8cFSvc5\nYmiw14FCJEMNo5wobOSN48WsSg23uto4XdrMm1+VYWdrmdcY7BzmK+f+xuloZ8vhvHrOV1r28Ja3\nmZ/gy3yzXtXDWQUZj+fHkmu4uUL4kYhSZNTYwRpDk3Tj6lgHOzX3jA/kUls3+7PquC3JjwgvyVPc\ncKSInWeqmBvjSYSXE/PivAjzdEKjVhEf4EqAmz0v78ujqrHTorH1gdx6tD29fHC6nE8zL6ESYPWM\nMO4dH4SNSqClQ8vkPx1VtrezEdj8wHgLCmNrnrTxKmd2tBcnChv5x8MTcB5pqxyvvauHzcdLmBbh\noXhyiQGuCmHby/vzlW3TnpnJmEBXzpQ20dVjfYkuCFDS2ElmVRtTIj0pbrzMVSMao5duj2N+gi9R\nPs5KIdxdKYFodXrc7TVMi/Agq7qNebFefHS+mkO59ZQ0dZJe1YooQlKgKxuOFBHv50LV5S7KmjtZ\nGO9LTUsX8+K8WZgYQEqQG/MT/HC2t+Xe8UFMDR/Fx+drUAMR3vb4Oo+gqUPL+cpWKi53sONsNfuy\n62hs62ZzWgkzo7ywVatM5kNSoETdsemYVM0sKzG5W5tMqSx7rPL8ifJy5FxFCxdr2ogzkMppdXoO\n59ZRXN9BkLuDQnR3o6pmZe/by3kEoR6WhXjfhUBuKNXO3+Ucw91vqOP5vmWoK4Rh9VT+oeX/ak9l\nOS76xvFiNt2fgtpGRYyPE2t3ZpAU6MIv50b3C2ns6Nax4UgRggDrZkUqKJ+N9yej0+nJrWvnsanh\nPPbBOYu6g5mjPQgZ5cC73/R13EoOcuWhiUEUNnawZkYkK7ed4VRx336Hn5pGpI/zd75e+RrW7Ujn\nYG49c2K8uXd8oMl1bUkrYYyfAyu2X+D9h8cybbQEga253MWyt09T23KVa2bTe2G8N9Mj3TlR1MwL\nt8Xzm08vcDi/rwDPdYTAyefm9tugxLjt4cmiRjqv6Xj/2wouVrXxt3uSOJxXz96sWhbE+bA/R6qk\ndrCV+jsAvHpXAnePDxrwmgGlQKv7mo6ndl802XZcsBurUsNZte086+8ZQ2ZVK1WtV/FzsePdrytY\nMyOMZ+fHACj3Sc4dyMedGuGpFAr+9VAB735dzqt3J3LXuEC+zJXyESIibz4okd7JEEu5psEaAd9g\nRWXG28rzeesAtQ8D7f991gD80Of7PuTf0VP5pvwbpKNbx68+ucjBnDqlKhbgvi1fk1HdRkZVKw4j\nbBUMtXlBy4YjRbz5VSkrDAVkSsvCXj3rdmUqUOtenSnd9LvLk5kZ68eB7FrFIDjYCjw0MYind19E\nBM5WNHO2rE3Z57ZY7+9sDKBvWb4qNRw/VzvDt6JiyBDhn+erOJTfyIppYZS9sshk/7y6K5Sb5Qfs\nVLB0YggffFtBmKcTB3PqqWjuJKfWFFHUek3kob9/wz9+Ptlqn1vj+zs/QSpaktuR6nr1HMiW4vhz\nYrwUg9BptAL588ECqXewKCpG1dFOzdG8elZvT2d1ahhPzRmtHFtmSt32bRXhng6kV7Xy2r1JeDrb\nGVpP6nnnlMQpFegm5XQyKlp58fNsNDYq1s2OUubGl7n1SlGZo51auY7K5g5EYH/WJe4aF6h0a5Mh\nplqdXkkA94e/H0pRmfG2gyWoBxLj+TFQaOhGyb+75uCHNEA3DcL/UNHq9BzKqePvp8pIr2xlQZwP\n8f6Ssj1R2EhmjaSIXexsWDo+sN9jVFyWKoYFw4pVVmhanZ7X75PoDGJ9nNl8vNRk35mxErdNSqCb\n8p1eFFk4xh+1jYrPLlyyYDv94z2m9QvXO7GnR3myKjWcN44X89p9STiMsGX5pGDe+7qMc2WXeftU\nudGYLENDcktCY3l5STyOIzVMDBvF1EhPypo6Fbphczlf2c5zH2ayv6BhQK9YFuN7utWIhkLXq+fd\nb8qpbeni8lUpGNfQoeXpjy4ohvh06WVevy+Z144WIAKb00qJ9XNh8Rg/5diuDnZk1bRzsVrqmJZX\ndwX/UfbKOf92zxjeP12hdEH7puwy35RdNlxLK+89PAGAY/n1uDvYEmHWeNrA4af8r1GrTCp0ZQUu\n8zVZi4nLRWUIDKrkh0s/YY0uQ54fSYGu37uS/q55gOG+Bz9k0duQ31JBEGwEQcgQBGGP4XOoIAjf\nCoJQJAjCh4IgaPrZL1EQhG8EQcgRBCFLEAQ7w/dLDZ8vCoJwQBCEG9sz7kcuh3LqWLczg/TKVsYF\nu7Eo0Ze1OzKUibXhvmRC3e1p6+7l5b15Vo9xorCRI3kNLErwZd2sSBMInEatYnGSP2tmRLLPTDFO\nC+0r5PrNv7KUv1OC3dDq9MyN9+V8iakxSA5wVigs5KTlhiNFSgJuOPA7jVrFqtRwVs+IYMZob56Y\nHcn7pyvYklZqYgxAitkbS0e3jqVvf23y3fOLRuM4UqNQUDvaqXlqdoTyu70azjw322SfL/LquS3e\nh+6eXo7m1w8pkWic8NSoVdw9Poi9T0zn9G/mKvUTXk4a/nbPGB6dEgJAemUrD717hrzaPqqPi9Vt\nBqz8Jf60P5+xQW5sWpbMhqVJbL4/xYI36M6UAHatmMzySZJjMC3CnYdvCSYp0IVzFS1sSSthS1oJ\n289UUX9Fyx2bTpokwG1Vkhq43KW1+nzMFbhsIK0VlZknYY1FngPAsDD85olcjVrFE7Mj2WTo+3y9\nkM6h1nR815qDH1MiejhX+CRgrHn+BPxNFMVIoAV4xHwHQRDUwDZglSiKccAMoMfw/WvATFEUE4GL\nwNrruoL/pZJzSWobmRLkynsPT2BunI9C/XCisJG5cT48OTsSAZgx2sMESSKLPLH+dm8SjnZqqxNz\nS1oJ+3JMsevvPHILIL0YjYY+xR72tpwqaeHpDzPZeaacy1qTXfj7zyYCfXj4148WsflYMSumh5o0\nhRnqS3GyqJHNx4s5WdSoeKirZoSR4GcKqZwxus+D0ur0rN5+lnwjHqWnZ0fw6LQIZkV7mxQm3f9W\nH7dRhLczXi52/MfcSJNjf3qxlrU7M/j0fA3r7x1j9QU1Vh79KRiNWsUHP59AhKcDn66ewp0pATy7\nIIaNS5NYkxrGPx6ewLTwUdippWVcrK+zhJXflcEbaSU88v5ZurW9qG1UTAx1Z8ORIotnrVGreH5x\nPG8vH8c7P5vA726PZ9sjk5Tag1Wp4QS5SeG3tu5eE/z9n+8ew9ggV7Kq21n/5cDIppYOLfe/dZoV\n71uvkB9IhjsHZOmPQE9to1KcpOuR/sZzvePsT4ar4H/IorchnVEQhABgEfC24bMAzAI+NmzyD+BO\nK7vOBS6KongBQBTFZlEUe5HYkAXAwXAsZ8B6U93/YyIrlRXTwlg7M4L3fz4RRzu1CfXDyg/Osf5w\nASCyOjWM0qZOpQrVWMwnlnExkFYnxbs9nWxN9gl1EZTtD+XUcbGmjeRAVxIM3b2+zKvnd5+brkhO\nPTtTIWWTeWBEERAg0V/y4I07hg1JjLpnyS/UY1PDaeowzQ2cLG7kQHYtezJr+O9DBXxVdFn57d5x\n/qyeGWlxL7adLqPR0OltpK2Kt5ePR6vTE+7pxPggO8zlYF49+XUdFlBPYxqIE4WN/SqSlg4tT36Y\nSXlzl1ITIRewPbsgBv9R9nzw2GReWWJgjRX1yiowJciV9MpWnv7oAo9vz+D5z7JNnrUxrNT8ecv8\nPI52ahzt1PxijpRLmBPjpZC5Abg5anhsWhgAW9PKeP6zbDanlbJuZ6aUKDZcw+Pb03nqwwzOVbTg\n4aRhbJCbVYPYX+Mg82rh4awYrSnIwRTtYOforzjuRnvoP6aq5qHmENYDzwKye+YOtIqiKLsp1YC/\nlf2iAFEQhIOAJ7BLFMU/i6LYIwjCaiAL6ASKgMev8xr+14icQD6QXcvWB8dZbX04PcqT1TMieON4\nCaIoggB/vTuRBXE+RHg60tGt4/UjBWz9qpw37ktgQVKQxbHlMMuabemYvypfPD0XkF6mTzOq0YuQ\nFOjCE7Oi+M9Psxjt7cj6o33NZ/6yJNqCwuLNB8cxKcydCaGjlNXB2h0ZbLw/ecixVHPCtulRnjy1\nK53admnKaVQCf747gW9Lmk1QUMbyX3cmAlIyVT5OzeUuXtojQVUFJKiql4udScL17PumSLafpvib\nKFBZ8b96VwKHcut59e4EBXW08X5To9fRreOuLV9T2tRJSpDrgEqm0ECZcSi3noVj/Fk8xo8Zo73Y\ndKyY0d6O2GlsmBjiTqiHgzIemZICYPmkYFZtO8eYAFd+OS/aAim1MNEPRztbqwghBHj9viTUahUT\nQ9wR9XoO5NQr7Syf/yybvVm1eDlKDkTDFS3vnCojKdBViXcDSrJ3S1qJRQzcONzU3dPLEzszeGx6\nGMmBrgpYYt/FWvZn1bIgwUdpx2ouxjH5wZLXA8Xi5doY8zzED8U0+j9BBjVZgiAsBhpEUTxv/LWV\nTa3hV9XAVGCZ4f8lgiDMFgTBFlgNJAN+SCGj5/o5/wpBEM4JgnCusfHGLOH+J4pWp+dXn1xkb1Yt\n8+N9+1UcSvzUKKZsN0LNwdw6frn7AlvSStj6VTkAq3f1xf9fP1LI3qxabo2WqI+nR3ny2PQwi+Of\nLm1Gq9Pz7slSpX/ApdZu3Bw1PDI12MQYjPYeyU8nhpvsL79MMopFVgJbHhgLIkNeipt7VYdy6tiX\nLXmrDhoVe5+YiqOdhvf6MQauI1UWxXFanZ473zilbPP/Fkfj5SKtCOQxJvpbEuF9kl5jopjkbQ/l\n1bMvp57DeVLh3dqdGahVKoWW40BWLU/tyqC0SQph3T8+aMD4epSXMylBruzPqVfukcyyemdKAPPj\nfXFz1CheP5hSUqzZkU56VRvvflNhQqZnfE+txf9lg22nUSvnWL80hc0PpIAoje3lO+JZlODLqhnS\n8473c+aRKaEm3rT896rU8H49bPl5yCHRt74qZY2BH+lEYSNPf5TJwbx6nv7ogtV5Yo2aQr7X5rxD\n5isA8xXDYCsB86K+/uT7oKf4oSgvhrKGmQLcLghCObALKVS0HnA15AIAArAe8qkG0kRRbBJFsQvY\nB6QASQCiKJaIUiHER8At1k4uiuKboiiOE0VxnKfnj6Pa73oe5onCRg7m1LEowZc/3ZU4aEXo/HiJ\nLnp+gi+zoiViuUenhRDhYc+cGOk+rZ7WV4kr01kHuo9Ujp17ybTu4LkFUYry/NOBAuX7OTFetHRo\nuXvrtybb73ps6pCuWVbus2K8h7wUNz5eR7eOt09KKKh5Md5k/HYekT7OTI/y5G/3jGFymCWq6Jm5\n0urK+KX/PKNKoYkIdrPjgUmhJmOcHuXJmh3pFsfSA++eKrXYdm6sLwvifHj5jngL5SLDML80qv62\n0/T/TE8UNvLL3RfIrGxlbLCbVaSUNTEOC712bxJhHvbMjPLgQHathULt6Nbx1K50Vrx/jqd2piuK\nblKYOyumhdLd00dwp1FLfbNl1lE3Rw2blqVwqUWCJ2dfaud8ZYtFIt3cGTAX+T49PjOCN5alsOG+\nZCVRPj3Kk1fvTiQp0IW/GPpKWLtP5pDV/niHzKvjzZ2D/uopZOMiM9VuPlZkcg/NjcSNyDmYH/dG\n5zGGKoMaBFEUnxNFMUAUxRDgPuCoKIrLgGPA3YbNHgI+s7L7QSBREAR7g/FIBXKBGiBWEAT5ic/B\nNGH9o5ahPsyObh0v78lh1T/OSl3NjBLAQxFj1IadrZq3vyrnFx9f5K6UQDYuTUJQ2SgTLCnQFRV9\nqJyj+fV8ZVRQNsbPiYenhCuJa9eRfWN49p9ZLHr9mMm5F8R49uUNhnjNA8VSB3ohXj9aSGZVGwJw\nm6HV44HsWo7m1ZMa5UVBXbvJsZ5bMJp7xoeYnLOzW8d/7ZVCRfa2KnavmmIxjhOFjaRXtBDm4YBK\ngFEj+zgcBBnXAAAgAElEQVRu/rhfSrYab/vMxxcI95KqxM297+lRnmy4N8lkxaFWDUwvvWlZMjOj\nPTlX0cKm40X9btuf5NVdofLyVe4dH2QCf5VlS1oJ+7Lr0QP7cuqVPIREJlfGup2ZrP+yQMkHWM37\nGPDLc2K8Bk2yWxNjozE/wZfFY/wUqhKNWoWLvYbsmnZcHTQDGhTj+gMZ8rppmelYzY208eeBEsqy\ncUGQFGSsX19tjTFrrPl5xga5WaUJMb4X/d0f8+P+UEij75Ll+BXwC0EQipFyCu8ACIJwuyAILwGI\notgC/BU4C2QC6aIo7hVF8RLwInBCEISLSCuGP3yHsfxgYu0BD/Vhbj5exNsnyzmQ18CLe3KHlXiS\nl87ypJYVyub7U5gV401ubTub00p59uNMCSoa5yuFAIB/na/ihU9NPeH3fj5JUWrrvyzksoEZ9YGJ\ngWy+P4VLbX0ekQC8aIjPD+Wah7JiGvCFMAQj58Z6MzfOhxOFjTy+PYM1O9L5xUcZJk1wvB3UrEyN\nUMI2cpLz5++fpc3wot47LlAJFZlfw5vLx/H52qm8+eA4jvxylsnvqX86TEuHBM3U9epZMS2UN44X\nK0rFWMlo1CrUahVZNW3Mi/Nm431JA/Lra9QqZkV7U2/gnCoxouDuLyRiLnKIZGqkp1W+o0emhLIw\nThrDgjgfJQ8xPcqTldNDEZGSyhuOFHE0v561OySleDS/ngNZ0rnjfQ1pRBE6rSSPv6tnez2KsD/I\nq7kDYvx5sHqKTcuSWTcrijeXj2NuXF9NhnGIzvw875wqM5nD1u5Ff/fH/Lg/VCL6JnXFdxS5e9Zw\nikjkorPPMmo4nN9AUqAL7z40wcTjHsp5V35wzqLVoyz/Ol/FU7svIgBvLZfoAWRKAvNuaADlhmrf\nL3PredSQVE0JcmXXism0dmqZ8McjJtuPDXLlHwYElHxN/SWMh3KPjCkW5GPWXO5i6Vvf0KnVMT/O\nl+cWxlq063zpiywutfeVAp96dqaS5JbP++DEYN79phyAeD8ndq24ZcirsMffO8teo7DPhFAXVkyL\nlGgj7h1Dfl2HMmbze7Dtm1Ke/0zqffDAZMt8jbl8mVvPY++fQ0TywN96aLzy/YoPzg1YBazV6Vn/\nZQFb08rYtCzZpLDM+P5Pj/K0SjGh1ek5lF3LvqxaDuTUs3mZRJGi69Xz+I4Mhcaiu6eXdTszEIFw\nD3tKmrpYEOfDH5YkcL6yhbFBbmw8Vkx1axevLEnEzVFDR7eOzceLiPVxZq6R0r6ewsXred/+XWI+\nh61d3w9VhTxU6oqb5HbfUQYju7JGl3ssv4E1O9IpaepkUYIv7zw0fsgKSj5mSWMHixJ8uW+C9URl\n+eUu9mfVscqIiC7AzZ5YPyc6u3sob+5Stv3LkmiCPZzZcKSIiaFunCxqJjnQhc33SxQHD/z9W+ra\nJM91BNAL1LZ1U9HcxZxYbxOaanOaX3msC+N9FUpra6JRW9Iz/2TzKcqar3K1R09961WOFDSgFgRG\n+zgT6uHIl3l1HMzt87TeWjaGpJC+BGJJYwdzY73ZcaaCVsOKZ0lyALPNPHWtTs/hnDry665Q2igR\nusnjTI325s3jJQoaq6b1GjMjXLgjOZDsS21sPVGqUDj36kUqmrsINhDCrfzgPJ3aXsqauvjZlFAG\nkwA3e/xdRlDa1MWG+5IVkj+ZDG52tCfZl9oYE+Bm8cwP59Txwhe56IHFZhTYxnNUo1ZR3tzFmu3p\nJs/KRiVQ2tTJhqMlrEoNY+nEYCK9nQhydyDWz4lFCdLzq2juZF9WLWEGYwBQ3NhBdctVXjtShF7U\n89bJMkoaO6luucqcWG+e2X2BHWeq2Jddh65XpONaD0GjHDhR2MjKD86hFyXCwhOFjbiN1PD6kUJa\nuiR6ceP50tGt4/PMGh6cHMzE0D4iP3m1bEzq932KtXcaLOewNWK7H4rsbqjkdjepK76jGMeOrVl9\nY+jbpDB3Nh8vIsrTkb/+NImC+is8PjNi2JP4aH49j2/PYNOy5H73nRrhyeoZ4coSVIZezo/3ZdU2\n03CRm5OjErLZdrqc1qs6XB1scXPUoNXplXxCnK8T2x6ZxKniRvZlSfDA2xIlT1SnF03izbIXf6Gq\njbe+KmXLA2OHdZ1anZ6Hp4Tw10MFCAJ4utiRXtlKRmUrDnZq0vIb2XmuymQfwcZWKaSSkTOxPk6U\nGzqpzY72Yt2sSItzyTxCMr3Hm4b4u/xMn5wTwX8f7kNXPf1JHr+/M5ataaUWyU35Wet69TQYcg4h\n7vbKuAYSjVpFdes1Sps62Xm2yoSfan6CL68eLGDz8VJUgopn5o1W7rFOp+dMWQsi8PAtwQOGpmCA\nsIwIoigiIph4svPjfZXPE0PdWTMzguWTgnn363IiPB0oqO8g1teZ2xJ9+bZUIgoMdbfn5TviFbDE\nwnhvAt3s2XqiRFnpyBBqOcQiQ0DPVbSgAt5crjZZBWxJK2FzWilrZoSxP7vehHpEht4aQ7Vlj/2R\nKaGcr2wZ0Cs3XnXOihk4VPNDUkt833LTINwAMZ4g5sZhepQnG5cm09qp5faNJylt6lTCOHLTdhj6\nUlKr03Ohqk2qQRgg2meMsdbp9azZlo6Xk4a6K6YlxqmRHuj0eh6ZEkpBXbvCT5RkSIaeKGzkeEET\nArB6RjhujhoWJ/kzN95XInTT61mzvY/UTPbWon2ceHJXJqIosmbm0EjMjO/BicJGfvtZrhKqSPR3\nYdX28yybEISuV29hDJ6ZG2nykk6P8mRKuDtpRZKCCvdw4A0rRkmr03OxRuIAemyahImfHuXJoZw6\nntiVwYb7kvlnuiWA7sV/5bJ1+TilctwYdinvLyAl8U8UNXGisHFIDd9lA24co+7vNzmXohdFZSpk\nVrZZ7Nff/ATTGo2pkZ4sSPDlra9KsVEJJrUExoRy8ryS569xGEdjKyXi58Z54+aosTA+yUFuSrGh\nDKGO93NGpxd5bFoYW9NKWBjnzcJES+i1fN3R3o5sOV4qwWCN7tMjU0JNrkd2csqaOjmYU8fGpcl0\na3Ucyqvn93cmKiFarU7P+sMFvJEmIcnkEKv8m3mIzbzAzvh+/lCkdDdKboaMboAYL8nlF0dejtuo\nBMqbu1i3K4OWrh7CPRx46fY4pROUzPnT1qVl7c6MQTsrHctv4KU9uayeEcF9E6RQkLUlrPGYyho7\n+SKrlg6tebcDmB/nze/35RPn58zei7W0Xu3B20nDX+9J5lhBA9+WXcbDcQTrZkUwP8HPopdB0CgH\nk85SG44Usfl4CWfLmhkf4saTsyN4YHLIkF6QY/kNrPzgHD29IqMcbFkQ78ttiX7MiPZSegfE+rnw\nr4xqzla0muy7fFIItyf5Mz3Kk169yL6LNbx7qoxeUWqKs//J6Tjbm1Zld3TreGb3BT46V82aGRE8\nPSeK0b5SH4RPM2o4W95CgJs9ut5ek4ZAIIXNnl8Yw/nKFuV5B7s7KCGjgto2DuTW88ycCH46Lsgk\npGgcXgtwszd5dhq1inEhozhV3DRoSEIOAd462pMevUhZUyf17d2MCTDtQibPhQhPBxa//hUfnasm\nwd+FiuYuk3FIfTMqWTU9jNUzIhQyO+PeFosSfLFRCSad74zn2rjgUagEgcdnSnkt4xCJjUogwlvq\n5Gc8j8qbu1i7M4Plk4MJ9XTkuYWxxAe4WoRV5OsP8XAkMcCVlanhjNTYKN+fKm4yefdifJypbrnK\n7xbHMj50FHpE1u7KpKhBCmctMqxupS5ruQCsTg3jXsN7pTyr7efZl1VHYkDfOy3/b/wsje+n+Tvc\nX5jJXIa63XBlqCGjmwbhBojxBDHPKWh1ekoaOphh+Lz1wXGMCXJTHrbcwCTEw57HpoX3m4sA03i8\nce7AWvxeHlOvQVFkVbcoKBtZZka48cKdicT7OfNpRg3nDWyZV3t60ahteGlPLhlVrZQ2dRLh5cQ0\nK16++Uve2qVlX3YdXT16ypu7CB5lz4xoryHdxwA3e/SiFBo4kF3PkmR/5sb7mNwPrU7P8nfPmuz3\n7LxI7hobhK/LSDYdK6ampZNnPsmm1+A2T4scxQOTLWP46w8XsONMFfNjvfnd7fEmRisp0BVdr0jF\n5U6OFUh5iv++O5FDuX28T7vPlPHcwjjGBruZOAOBriP408FCOrW9RHg78uDkkH7bQJo7EFqdnj8f\nyOPFL3K5ek3HJEP7UmtioxKI8HKiurWbTceKWZUaxiNTQi1yNfJcuHvL11S2XMXbaQQv3B5v0rTo\n/7d35vFRVef/f5/JEAIJEAhJCISEhDUsYQsVZd8RrGJdqiK0fpVVtNb6dWn59Wtbu6i1WkQWldaK\norjUhX3fVTCBQEgIWSEsSQgQlgAhmcz5/TFzJ3dm7ixJJiv383rllZk7dznn3HPO85znPM/n2Z1R\nxP99m2rhz4puy4juoXQPt5+4Y0OD2JZWwB/WptG7Qyt6WKnO1f1fay9I/e60JjulPQD+uDZNM62m\nY7217PCOY29f1nn+uS2TITHtGN87nKh2gXQNaYnBAH+e1s+WcEkRrFP7RfDwbdF2ZXeVSlPrmVpp\nYhU4jlFXbVFbKTd1gVBPUDrrlevl/Gb1IY6cucRfNqRzf0Jnnh7f3Sl/q5L9a97obvSyaqeusCP9\nHPM/PsjdAzrR3cWmoeP1O9LPMe/jJKYN6ETyaXtzwuZnx9DC34+sohLetkYg949sw8Kpvbl/cGcy\nCq+Sc/4aAzq14S8/cx8sp6BL+0Ci27Yk+VQx18oqSOhimVw8ocxkZv2RfA7knmfOyBjuHRTpNABL\nSk3cv2Q3RSWVXkXPT+rO/DE98DMIm3BNL7jKFZXw+/X47vSKaOP0vH3Z5zl48hJPjulK/uWbToPz\nkx/z2JRayPi4MP53ck8m940gPiKQNSkWoVBaAYdOnOeFKb3tlIEV+3LJKrpGh1b+vP2Is5nKnQKh\n1lYPnrpEf2tGO3dao3KPnw+Jsq1wtKBkpftk1lDaBvrblaNtC3++z75A4dWbJJ0spmdYkG3CV09e\na46c5ccTxXRp35JhGmk33Wm4riY722rTIateVbVlR0Hh2LZ+BkGvjm2YGt/RbhwqgrVbuHMOa61V\njdYzK8zSbZ5orfes1RY1yRbnDnpO5XrGi/89wvrUQt7fe8Ipd6zaL18daeoJrjYD3fksKxt3K/fn\nER7k/IySUhNfJp22uTp+/MRQGxe/wSAwCHhiZKzXXlD+RgP3D+nM9ufGsGBMN54a28Pud1cxCdvT\nC/n1Z8lsTDvHtvTzmkFcf/gmhdSCSu+oNgaYqXLnVHy5L1+v3Cd5YngMU+KdabZ2ZxSxYu8JnhzT\njQB/o5Nv+PojZ9lkZYGNahdo83Gf0C+SZ8ZV2q0P5F3hcN5FW92HxobYvIOeGtfdY7s5vruRPUJ5\n68F4JsSF8cSwLnZJadRUDUobFpeU8evVyQyOcvY8ckSndi3Z+pvRdtxTClbsy+XwmUqFIU0V7Kd+\n/vzR3VkwphvzR3fXfJfu4hC0IqLdtUVNYxpcjQvHcvuCJmJ3hvs80VrvuapjuS6gC4RaQud2luXj\nhLgwpziB6nb06nQWZeNu2aOD+e/8EXa/fXvoNMt2Zds2kqPbtbRNYIu2ZbIptZAJvSzBYFWFK0G3\n+Wg+sz5M5NtDp2xRnWUmM4es6TsHdm7DpD7hTu1TZjLz9WH7zd1rCBstgfLMh4d0JjjQn6Bmgj/e\nHcfzk3s5UxMczae0zMTiRwby9LjudtTYyjkffH/Cdk2/TvZZ4OaPsRdy9yz5ng/25VBSauLXq5PZ\nlWHZyD5TbL/v4A38jQamxHciOiSQFftO2DZJHWkxlPZRSOcWfnPU7X09TXpzR3VlzogYHrsjmjkj\nY5k/utIbS/189XvV6sfuAsv2ZhWxbFcOv/rUmadIHUS4MSWftYfPUlpu4u/39eNg3kWPfEJVgWO5\nfUETMbJHKMtnJHidwa2+J35X0L2MqgHFs2BobIhmmkWAZ8b3JKCZ0ZbLVo3qRGPWJKBF7Rrb2h+u\nWBXo332dQid1xK51hZp25hL/snL3dGrbwqedNq3AQmr2/H+PYpawNe0spy6Wcq3cjADmjOzK2Lhw\nGyungvf3ZFGumsuWPtSPZv7N7c45UVTC2Dd2YQZi2wcy8w7nYLDNqfk89UkyYPEmUeqmdh9ctT+X\n5FMWbdkgIMDBzOdvNNC/cyCHT1XmXXh5zTHOl5SzxUoX3aVdC+aPcXZx9Qa7M4p4f28uABtS8pk2\nqJNd+dT9R+E8euWevrbfHT1jAI85jIMCjLw0tbdmeZTJyxFa5HFu+6jVMW6uNUeGY50VL6YlOytd\nfO/sG8G6lHwMwqLY+MKLR4vSYvHDAyktr2BjSr5Ht1MtuGqjxoaGJZ4aCWxufLuymbMykUXbMiku\nKePVDemsPXzWoymoOtpBTbUYRTPvH9XOduxmBeRcrMylnF1UwpIdmUx5ex+KImn0820XmT+6O82N\nArN1wze98DrXrDP96B7tGd491K59ykxmPvo+h9c2VXL77PzNKO4cEGUbgFvTCjlz8TrjrMIAYM5I\n503kMpOZNYfzkVhoMIbGhrD28FleWZPKX9enUVJqoqTUxF83WIj9Av0NLJk+iLG9wu007DKTmYJL\nzhrrPf0tuZQBxlsnFUet3BWDpvr+I3uE8ouhFmLCsXHuzQ8K6Zwjr5Sa7G17eiFLd2Yzvnc4pWXa\n5hrHMngDNXmcFgupI8bGhfPezASemdBTU0la/PBAenVoxaKfD7CR3r1yT18bpYOvCN8ceaf8jZZk\nO7/6NJl5Hx9k0bZMt21QX0ykdQFdIFQDSueNCWlJ/87BLNmRxayViSzdlc3Tn3rO4FSdDlVTsitF\nM+/ZoTXjXHj97Dh+ntc2ZdgdmzagMtm7t2V2d25QgJG1C4YT3MJIxzb2VB07Ms7bmYDKTGZ+9+UR\nFn5TyXv4xZzb6KLahFOiXe9ZvAfFqbZVcwP3DnLOM705NZ9NVi+hn/aP4IecCzz96SHe33eC5btz\nee6zQ9zzzm5umiR+wNfzh9n2DtST0e6MIgqv3qSNg7C/b9l3FF4p5Ze3d+HJMd01J0gtcjSlHmoe\nJGkVbalnneMKXEFp96GxIfZkb9KSD3tzaiFPr052aa7ZnFrAnJVJNoI7T3Aki3NkIXWEO0XI32gA\nAb/6NBmj0WAjvVPTffuS8M1RuChcYPNGxbJsV7bbMVxfTKR1Ad3LqIpQlsVmJM+sTubs5VK6hgZy\n9OwV7rSmtVRiDFxBy8PAk0eF2oOiOr7K/SPbYhCCBWO7c8+ATqw+cJJrZZWDfkT3drRr6U/BlZt2\n1209do7LN8q5fKPcqzgJV/VTIySoOXNHd+NnAzvzXfZ5zlnTdD52exQPDolid0YRYa0C+Ov6ND5J\nPG1Xxl4dgu3qHdYqgPSCK6TmV5LB/f6uXvTpZO/HbtFgs8gqKmFKn3CeHNuDiDYtMJnNxHdsQ3jr\nADalnaP4ukVzFwL+OK2f7Xq190d0SCD9I4P5v5/2oV2gkQO5F8EMN0ySwqs3Kbxyg8i2Lfnz+mPM\nGVVJHQKVXmVKQJXyHqMdPGze2ppJ4ZWbgODhn0Q5vXNXlChzP0qib8fWGP0MjO4Zhr/RQIc2LZAS\npt8WzT0DOjq5pW5IyWf+qoNEtGnBwbxikk4UEx/p3vUTtL2lHhzSudrmnKzCEtal5DPVgXpD63k1\nhZYHUrewVgyJCfHo5VNbnkC1Cd3LqJagaAcmk5n/GRbDgM5tyD1/jQVjuvHPhwdyV3/tLE9qaGk6\nVdE6qnKuov35Gw02TcvfaOCr+cPp0q4FfTu2wgAE+fuTcuYyvSMqB2KrZjA+LozFO7JYdyTf6xSY\n3mhyZSYzSXnFfDLrdpZNH8SyRwfx0tQ+/JBzgbkfJfF/36bw4Q95tvMD/OC+AZFO9d6bVWRL5AMw\n/SedeXlNutOG9Bub09mQWsCkPuG89sAA/I0Gfsi5wIq9JxjWPZQ3HhxgV76fOmykKx5Eb27JYHNq\ngc2O3SWkFf8zLAYT0K9ja8KD/Mm/cpN1R85ilpLeHVrb9QdXm7JqG/TWtEIeHmLxjJpxm2Wl481G\nqNLuiMpERGUmsyVp0q5ssopKnOzjZSYza5LPYpZQUWFm7qiuLKpKqlNV+6jNfNUxqQzvHsr80d0Y\n3t3ZI89VWs7qwtVqxRtzbkPdEPYF9BVCFWELohHw53XpFF4pZb4LxlFX0NJ0qqJ1VOVcV9p6QDM/\nwlsHYJaSyzfK+fFkMfNGx/LnafE08zPwr18O4ZmJvbgtJoSTF65b0jrGR3Dq4g2PKxN3mlyZycyW\nNAvT6x+sQUgT+3aw+XlHtm1J97BA3thinw/glWm9mdyvk1307LnLpfxqdTKXbpTTpV0LFk6J47Hh\nsXbnKLbt5btzkMCk3uGMsXL9qNtx3eGzbLZuCBsF/Ofx2whUmYTKTGaeXnWQ1UmnWX+0gP6RwbbI\n1Bm3RxMbGsTf7otHIvku+yJ9woPIKLpG/uVSJvXuYOf3rmj3Q2ND7Mqqfl8/G9yZu/pF4N/Mj6h2\ngU4rCK0+oBzPPX/NRia4O6OIl9ekMrlvBKt/POXUD9Ykn+adXTkIIKxNAJ8nnuLegZF2cS5VRXWD\nq5Syqv34lXsBvLwm1ecBWwpqK0K4ru7vCXpgWi3BjrLBGt3oinG0Ovd1NHNodSJvl84lpSa+PXyG\nGbdFO5mxFMbV5NOXuXTDEug1qHMwo3qFMULlxeFvNDChdzj9OrXBbJbMX2VhyQxrFeCRYVLLzLFo\nWyYvf5vKjyeLmT+6Gw8O6exUt0VbjpNRVOnBM7VXGO99d5K+nVpjEMLGJvrTxXtslBKP3BbFLGse\nBHXbbEkr4OVvU/mf4V24LSbERqmgPCuybUs2pxbw1/XHuGal9jADzZv5cUe39rYybEg5y+KdFrv/\ngMg2DIpuy5DodvgZBFP6RnD49GUSurRj5ooDSLCVv+BKKbnnrtLMaCCr0MKkqmj3Si5fLcVgdM8w\nMs+VsOCTQ/QIb0Vcx9Z29XLVBxyDF5X7PTYsxkn4ACzamklm0TW6tg/kYF4xk/tG8NiwGK/7s/KO\nw1oFsDujyM78pcRQeDsJagk55di0gZ00y+8tFIqY+MhgWztpmdtqS+DU9v09QRcItQx30Y01hULH\n/M3hM/xhTVq1O9GibZm8szOb2NAgJ9qJyLYt6RHeipQzl2xRvYfyLtG7Y2u6hdlrh1qRpO/syLJE\nBedfYdG2DMb3CrcFZClwHARb0gr4w5o0xvQKpWtoEENj2tI93BJZezjvIsNf3c4/tmTaCYOe4YH8\nZ9btdgKpwizJLrrCN4cLAAgLbMbi6QlOppAd6ecoK69gQ2oBs0bE2iio1ZPBmuTTPL36sE0YPHpb\nJMO6WUwXag77f2zJIOf8NWJCWjJ3VFeeWX2YvIvX+fRAHgfzLvF18lkO5F7k/LWbVDhYNYx+Bj78\n/iRrU/IpKS3nwYQol5ObeqJX+JSiQwIZ3r1SOLnTNrVs47GhQU6CUsEdXdtzuvgGbz88EH+jH58e\nyGNgVFuv+5uWBt89vBWxoUFOtByeoLVPFh0SSPfwVi7L7y2UKHaDENw0mZ3KFdbK4n6tRTvhC9T3\nvoMuEBowPC0fFUKtxBPFzNPQor2FegNTiz6hR4dWnL10g4NWDiOJhexOoSxwhJrvf2BUW5spqfh6\nOat/zOORIdF2phHHQZBVWMK6I/nknL9OzvlrbEwtREpI6NKOka/usHEPqfHS5J7069zWJpAqzJLF\nO7LYaQ3+Mhpg22/G2DFX7kg/R3ZRCfM/Pshd/Ttyz4BOto1UhUDPLKFjmwB++e8DmKzPDW/VnCWP\nJJB8+hIJXdrZ2mxLWgGLrNQePx8SyS/uiKHCLPlkfx539otgb2YRYUHNLJp2SAuulJpsbrUAF65V\nRk4nn7pM74jWHDl9iSul5U6c/2r0CAvi0KlLLJwSZ2e+cqdtVsX5oMxkZufxQspNZu7oFsod3doT\nH1k1LdydBl+TSdDXGrV6LMSGBjmVS8tc5S28MQf5ckO8OtAFQgOFYjZZ+M1R9mYWcfRMMZ/9eIph\nXUPtybYiWjO1f83MUe6IxhQMimpHdlEJ2Vat/O7+HTU9PMB+kPaKaM2E3uFEBrfg++zzXCszk3Sy\nmCn9ImxmAkWru1FWwaJtmfw0viMDooIZ3yuU6JCWJES15b09ucRFtGLNkXyn5w2OCuaZ8T1t7eJn\nEAS3MPLxgUrq6+3PjiK0dYBtQCpa6dieoQhhYObQLvTp1MY2QWYXlRDZtiXv7s5hzeHTXLlpUeeN\nAhZOjWP78XO8szPbLvnP0VOX2JhWyIReYfz+p31p4e9HQpd2xEcG8+ht0eRcuMbhMxaqhwvXTUSH\ntOTS9Uq+pYVTe+JnsLB6PnZHF4qvl7N0Vw4bjxYQHxlMWKsA3tiUzsaj+SzelsXYnmEEBhhZtC2D\nNUfyMQhsKzxvEw45vi+tSU4xLx04WQxIykzSZdCXJ/OllgZfk0nQ1xq1eizUdA/PEfVtDvIGukBo\noFDMJrHtA0kruMqRM1fIKrrGij05jI8L4/Dpy0SHBNIzorVLQi1fwt9oYFKfDvTp2JrJvcMx+Ami\n2gVqPlfLHNG3UxseGRJN0sliDp4sRkrJy2vS6N2xlc30pCzXm/kZmHlHF3pFtGFE91Buiw2he2gg\nnyedssvgBtC1fQtS80to5mcZyGUmM18l5fHYB0k27v/nJ/VgQp8IuwE5skcocR1asT4ln/VHC2zX\nQ+UE+D/DuzC2ZxhbjhVSViHxNwj+NK03C79JY8Zt0Qgh2JRaYKOFfmdnFpnnrjG5bzhjrJG/yqSy\n7Vghi62rhwGRbbinf0fGx4WzVZV2s0/HYP58bzz9I4N5dGg0g6PbgpTMtCazeWdHFkt35ZBy5goF\nV0r5+IcTrD5wkjOXr3PhWjnnr5YybUAkLfz92JJWwJMfH2JqfAQ9rSu5xNzzjHx9B3fEtqNjWwtP\nka4UlRoAACAASURBVDeCw2I2DKJLiEUBcedWvCWtgHkfHbR7r7WJutaoPTlCeEMu2JDdUHW304YK\nCRLJvFExDOpcycBpkvDA8u99HvDijQugv9HA5L4RBPgbWbDKdWCdK3e7tkH+rJo1lHdnJtC7Y2sk\nEpOVM+g/3+Xw2Y95TP9JZ6ekL/5GA+mFJew4ft7u+PCubfhi7nC7pOPbjxXy3JdHbZHIndv488SI\nyiTx6oQla47ks/nYOacEKsp5vcJb8duvUrhqXR385d4+/GxwNMseHczEvhG8+fMBdgFXm9Ms91Lz\n+yhIPWsJ+BsUFcxHTwzlpam9+dngzrw4uQfK3NCnY2u7tgsKMPL8nXHc1d9ir547qisDrZudANdN\nkrxLNzleaBGSJ4tLmbZkD8UlZezPvkCFlJTcqDRDPfTefkxmy3+oXIUuWHUIo5/B5QrR32jgrv6d\neP7OOCb2jXDvKmztt+6SMtUEdRX9W53neHLzbkpuqEJqJFxvqEhISJCJiYn1XYwqw1VWJYD1R/JZ\ntiuD9MLrLJzaky4hrXyacakqSclrwpfkeA8lS5sy7AKbGdj/uwk2Kg8lZWHB5eu8vCbddn1zA6T8\n8U6n53998AzPfGbhIGrlb2Dbb8YQZuVhUpdbWY1M7WeZ2LWYLke9tp18awDehLgw3pnuOr2nUk5T\nhRmjweDkx++YWF3rWm/SMpaUmvjrujTWHDnLlZvOiYwApvaLYH2KhXojLMifZyd0I/dCKS2aCRbv\nyObTWbeRENOejSn5zPv4IPNGxdpoIrT4jaryrmvaNzxd76qf+qJPevOcmpS9pqjt+wMIIZKklAme\nzvP66UIIPyHEISHEWuv3GCHEfiFEphBitRDC38V18UKI74UQqUKIFCFEgBCilRAiWfV3XgjxlvfV\na1zQCkDyN1o0t2mDOvHtU6N4f2YCM2+P9bmmUZVwf0eOF0d4u9oY3zucsb3CGRBZuQK6Vm4JkFLu\nsT29kPkfH7QTBs2ATb8eBeBET7zBmj83pn1Ldj8/ziYMoLJ9t6cX0is8iPmjY3n1vninIClLgNpx\n8q/cJCzIn5m3debNnzvnpVZf4280YDQY+NWnh5m/6iDbjxXalc0TZ5XRYGDBJ57pTIICjPz5vngS\n/99E3nownkl9wnlhcg/bAO3SNoBX7unLeCtX0rmSMl78Ko3lu3N4a1s2s0Z05fy1cs5cvM4ra48i\ngZBW/nZU0mp+I3eU2lrtUFN40rJd9VOt6xTG2q8PnuK1DcfcMqE61qE69Be1vQJoSFQYXq8QhBDP\nAglAaynlXUKIz4D/Sik/FUIsAw5LKZc6XGMEDgIzpJSHhRAhwCUpZYXDeUnAr6WUu92VoSmsEBr6\nsnJrWiGzPkxkcHRb3puRYEea5k67cqyjhQr6EFuPnWN0z/b0CG/FU2N78EPOBZ74UPsdHn15EkEB\nRramFTJnZSLzRnfj8WExNopnAbz98ADu6t9J89mmCjMLPjlkVz51mUtKTbZVxrxRXXnhzl5O5S4z\nmXlr63GW7cxhyaODbAnmlfwIk/qE89wXR7zWMGv67s9dLmX+qoMseWQQYW0CKCk18dbWDE5euMa4\nXu3JvVBKRYWZFftOILAIzOzzFlNTMwP89d6+5Fy4zqzhXdmfewEEDO8Wyt7MIrs8wVrvVn0MqFFi\neU/t4Op3reOW/pFkyyW9YEw3npvUU/O5WvXSeueOeZPrEt6wJ9cUPl0hCCEiganA+9bvAhgLfGE9\n5T/ANI1LJwJHpJSHAaSUFzSEQXcgDNjjTVkaIxqTjXFkj1AGR7cl8WQxs1Ym2mmH7rQrtZZTZjLz\nwpdH2HLsHFP6RbB8xhBemtLbRlCmte32yRNDbBPT0NgQ5o3uxrJd2Tyw/DvWpeRzZ58OLH10EBP7\nRDhdW2Yyk3zqErfFhDiVTynz4Ki2/HO7hbgvJqQlT47p5lRu5fvyXbkWU7lVV/I3GsgqusaG1AI2\npBbw+LAulJZXeKU51/TdHzlzmeRTlzhiTV4TFGBk4V29ee8XQ3jothhemhJHQowlj/Hc0bHMHlm5\nZ1Juhue+PMqSnTms2JfL2LhwTCYzv/r0IHM/PkjpTYtmvTWtkPhObZjUp4ONTlvddgrNtuPvVYGn\ndnClJWtdpxDRvflgPPNHxTrtTanhDU2M4+qpKvDFKkqpo0LbUp8rBa9WCEKIL4C/Aq2A54BfAj9I\nKbtZf+8MbJBS9nW47hlgMJYJPxT4VEr5msM5v8ey6njOUzka6wqhsaG4pIxZKxM5lGeJg/CGlkOt\n5Szblc3SnVlM7hvBq/fF25lTSkpN9H15k9P1Cl31+3tyWT4jgaGxITy64geST11mQOc2fPT4UE2z\nTEmpiV/++wCJJ4tdaoplJjO/+uQQG1ItgWxvPRjPNCsbquMegCu7f0mpiRe+PMJ6q+nKIATLZ1RP\nW64KLFxDZ/j4QB7Lpg+2M5Wpz1HvS32RmMdbWzMZ2zOMhC7B5Fy4zvzR3Z1WZ1P6hnP3gE7M/+gg\n8ZHBJJ++xJyRsbw0Ja5y78Rkxmg08F3meT7cn0fr5gY2/GoUndq19Klm624vpqbQese+WiFUdU/C\nXZvVpiXB2xWCx5YXQtwFnJNSJgkhRiuHNU7VkixGYDgwBLgObLMWbJvqnIeAGW6ePxuYDRAVFeWp\nuDp8gLZB/nzw2E94/vNkluzIom+n1kzu66yZq6FoOVvTCm00yFqC5I3N6ZrXL9+diwAGRAUzOKot\nW1PzbUlqEqLb2W1Gqye/F748QuLJYhKi2zppisq5peUmNqQWIIDHh8cQ0Mxo2x9QOP0VGgl/o4Gx\nvcKdtLSgACNv/nwAP+0fYZskfUHD7An+RgMr958k+dRlZn+UyNdPDtc8R20OCWvdgr0vjtPMOTBn\nRAzv7sllQGQwf54Wz/7cC0gg+fQl6/WWBfzujCKe/PgQZikxCEGUNQPglZtmfrb0O/a8MNYuqY0y\n4arfeZnJzObUAg7lXcLoJ3hqbHcn5WDJzkxiQ1qy7mghO44X0aVdAPcPia5SG3kSJkt2ZLJkVw5m\ns5nn74yzay+l/Sb3c92/3ZmzTGaz16SPgFObqQWJY7nqA96I4mHA3UKIKUAA0Bp4CwgWQhillCYg\nEjirce1pYJeU8jyAEGI9MAjYZv3eHzBKKZNcPVxK+S7wLlhWCN5WTEfNsDeziPWphRbJX4VWVy/R\ntbScH3LsXUxfv7cXLZoHsGJfLodOXeZQ3iVGvradq2WVlkX15rQyoBY/PJAjpy+x3mpOev2B/k6T\ngXJuf+v180bFEh8ZbLfP4Jj1S32do9anuOfWNeI7tiH51GXiO7bxeK6rsoOl/L+Z1IshMSG29zM2\nLpyl0wfx5cHTbDl2Dn+/ypy/70wfaBN+F0tu8tuvUwEoKrlpmyCXPTrY1nZLd2bZBKtSlqc/PWSL\n2m7mZ7BbwS3blc2SnTl2ZXxlfTrj4iIIDDDy7aHTrPrxFP94oD9fHDxji7hXNOy9WUWYTGa+OZzP\nlmOFlFdU8NIU+6xvJaUmMs9ZqNEVxwJHjdzTCsdVm+7OKGLBKktf8lajV7eZEtndkOBRIEgpXwJe\nArCuEJ6TUk4XQnwO3A98CvwC+Ebj8k3A80KIlkAZMAp4U/X7w8AnNamAjlqCAD8heGKExZSjHkha\nUA8uV0g7c4ljBZU8RQun9uSB2yxa/ehe4Szalsmq/SfthEGXkBYM6xZqb5J6dDAms9m2qpjUp4Om\nSaBbaCCtmvuRlHeJqf0ieGaCZTJS25QdVwhQ82REvsag6Has3J/HoOh2Ls9xbB9PSWrU3yf3i2B4\n91BbG9qOq4Tf2sNnEMAv7+hCi2YWKnDlXmUmM307teadRwY57d8semigbYXguIKbO6orOeeusj61\n0Hbs0g0TC785yr0DO/HclykAPPzeDzY34QGdg20a9tKd2VSoTN4ni6459dM3Nh+35Qx/f98JAvyN\nPD4shhX7cunVoRXPrE5m9ogYlu3OYckjgzRXCq76Q008lsCStlUh3asNU1l1UJMSvAB8KoR4BTgE\nrAAQQtwNJEgpfy+lLBZC/AP4EYueuV5KuU51jweBKTUog45awthe4SyfMZjSMpPNy8XdstrdUri4\npIzZH/7Ij1bOJIBX7olj2sAoWxL5oAAjT4/rzif7T9jOadvCwIkLN3jxv0eIDQ3ivT05tvuWmcy8\nM30gSDh8+jJLrRnInpvUk90ZRcz+MJFmRsFNkyS8VXObGyrY50/WGtSOJpj69hALaGZACDheeNWl\nYHa3MvAGivusKxgNljIENPPj3T05DIpuZ7cS0NKULYFvHbmrf0eXz3zr4UFMOZpP8unLlJVXUFhy\nk1fu6UtggJG/39dPc4WgaNh9O7Xm0Mli3tubS1hQc7akn2N3RpFd/ZNVfW5Kn3CW7com9/w11qXk\nM29UVxY/MpDEExcxSzh0qlgzXsRbU051+oqSQQ9w2/51Billo/kbPHiw1FG32JByVsa+uE5uSDnr\n8pyb5RVyw5GzckPKWXn1Rrncklogb5ZX2H5/4oMDMvqFtba/FXuypZRSbkktkF1fWidf35gur94o\nl/M/SrKdM/Wfu+QXP+bJLi+slTEvrpVdXlgr5/zngPzTt0flmuTTdve/eqPcdg+lPGNe32G71+cH\nTmqW2bGcWlDKuCW1oErt5kvcLK+Qr29Ml7EvrrWVw7H8nurjq9+13q+3bekKVWljrXor/Wb+R0lO\nZSi8dEPe+85e+fmBPFvZL169aesvW1ILbP0rRtW+1Sl3dfpK4aUb8r4l+2ThpRteX1MdAInSizlW\nj1TWYYOyOff4sBj2n7gA0pLFypMHiTtPizMXrzPm7ztQsnUmdGnDqifusHl3LNqWydKdWcwb3Y0l\nO7KYGBdGdPtAnhrXA3+jge3HCjGZJalnr7B8V7Yt8nlcr1D++dAgzWV2cUkZM/+9n5QzV3jsji68\nNCXO9jxFg/NWo24IKwStclTVu8XT+WsPn+XpTw+x6KGBLjX62kJV2lirHjXxUFI8jExmidEgPEaU\nO12r8kgD76K/1dcdOXOJJTtz3MZS+ALeehnpAkGHDX/fdNxG+7DxaAESyZJHBmH0q/So8TZ4SDk+\n7K9bKbpmYf5s2czAARV9hXKOO2oIBSWlJt7ensFXB89wrsTC4zN/dCyDotrZuQ/uzijiy6TTbEgt\nICG6LatmDbULaJr7URKLHxlouakXlBINBY6TXlUnweKSMhZ+c5RX7ulrF2yo3Hvmv/ZzMO+SLWBP\njboQit4+o6EIaAXVocJQAuskkkU/H0B6YUmt7yH4zO1Ux60DZdPv8WEx/LR/BEgwmSVPrkpizqgY\ngpr78dqmTO6Ibce7M4fYOrCWjVWJVFaEAcBvp/S0abeKgNmeXsjhU5d5d3c2y2ckuBzkSv7jv93b\nl48PnGJA5zb07tCa2R8mMqlPByb1CePI6Sv8+7sT/HlaHwwGwSv39HUKaFr26GC7iGZXwuedHVn0\n6diaiX06NIiJ5+1tGSzfk0u5qYKXpva2bYb37dQao8HgcYJcsS+XdSn5xLQPdNJE396eycG8Swzs\nHGwL2FNje3ohT358iHemD6w1LytvV2wNwTVTjepsLCseXIpCcteA+u9fCnSBoMMG9caiMvA3puRj\nlpJlO3MwWPvtdzkXmf/xj7z/i9s0eYAsXDnnbN4dwS2MLJzSi7sHdrYb+ABPfnwIiWT+6G5uB5V6\n4N0/JMr2rDv7FbIuJd8WdAawITWflY/f7nQPtVeMu0FsoaPORgDvzUyok+AzT1qv4k2j/FcLN08T\naZnJTK8OQS6jehUjwZAu7bS11DpgOjVVmFn8iPf+/L58dk1WHNURUPXlvuwNdIGgwy0UP3UEtA9s\nxv3LLRTLuzMvsjm1gIBmfnaDaXdGEU98mGjjRAlqJtihymjmSFU9Z2QMvTu2ZmKfCLcDUmvg+RsN\nvHpfPGWmCpvwAcjIL9G8h9rM4moQl5SayDlfgkHArBGxdTJBeaOBD+gcjMH6H7wXbmB5J8+sPsyy\nRwdrTvhKMJkrCoixceG8OyOh1tpid0aR2xVbbaKm3llNDQ1nraKjQULxU5/cN4KEmPZseWYEgf6W\nbpN69ooT90q30EAMAtvmb7ug5ry3J5u1h8/YXCaHxobw1/XH+OniPSzdlUNAM2ONJoJCq486gL+A\n1XNud+KYUfiVFu/IYpnVRdURyjmbUgu5s28Ev5nYs24mKKsGXnrTxN83Hddk75zYJ4J3ZyY4cTl5\nw5UU36kNAzoHE99JO7DNHWMrwLVSE18dOsM1N6yiNUF9xn04Kih1kZOhIUMXCDqqhO4dWrP/txNY\nMKYbs0fEOg3kR//1gy0ytVVzA6N7hrFkVw5Pf5JsI757bvUh/v3dCXLPXye2fWCNJoK/bThmI36L\nCWnJwf+bRBdVgvfNqfn84ZsUJv1jp40kz5UmvP7IWdal5DMhLswubqG2oWjg+3IusHhHFn9ad9Tp\nHE/U5K5QZjJb8nOfLOb/vk2tVvkUttmF3ziXq6ao701itUD1hhK8qUMXCDq8gnpwKBuaSXnFjO8d\nzrVSE49/8CN3vrWT08UWbd0AfP/SBH49vid39unAPx7sz8geoWxOLWCjyrwzb1SMSzpkT4OxpNTE\nF4l5gIXq+b/zhtm0XEXzSzlzmX9/n0fuxRsATI2P0NSEy0xmPvzhJGAJwqrLqFFlUvr20BkAvk46\no3ledXjzd2cUcSjvki2iWwue2vqVe/oytV8Er9zTV/P3msAXuQB8NXE7rlQ2pxYwe2Uim1X7U/VZ\nvrqALhB0eAX1wHUcOC98mcy29HN2tBRrn7JMzkl5xWw5VkhQQDP8jQZSz1qS0cd3as2k3uGMi9O2\nmTvSaTsOqJJSE7/4135KrSwXDyZ0tnOnVCbZ7qGB9jeWUnNw7s4o4vCpSyREt+Uv9/ardjvVBEHN\nK4XQX9elOZmOquvRsnT6IJY+Oogp8Z7bWguBAUbuHdiJwFoQkr4wF/kqwYyj+S317BXMElufre/y\n1QV0gaDDKziS1ikDp8xkJqfomt25Y3qG0rtTsN11Q2ND2JpWyOwRsSwY043bu7ZnU1ohK/bl2l2r\nTP5qTh6tAfXWluMkWWkJJvUJdyI1KzOZ+TrpFEt2We4f3qo5f7+vL0ajwe5exSVlPPnxQeI7tWH5\njARWzRrq5KdfV/hy/jAC/Q3cNMPyPbks2ZFp97vjhOVtBjtlD8jVdZ4m5YY+odVEqLhrwyfHdGPB\nmG42V9zqavoNjRvLHXSBoMMruNq83J5eSJY1QxdY+Ide/Vm803V7s4qYszKJ/Scu8Nyknjw1tjsL\nxnRzsucrk88PORdsz9MaUKcuWUxAAzsH8/bDzhHLm4/m88znR8g5f42u7Vuy7TejuX9INGN7hdvu\nVVJqsiXg+cPatHpPYtQlNIj9v53A5N6WNJnf51yg2BqEp4WqTNTKZGYjU1Nd52ljujYnNF8IG63y\nezN5K5Hyc1Ymaj7fcbO9umVtTAmyGn4JdTRYFJeU8e7uSvrihKhgrt6UHDlz2W5AlpSa+PbQGYsP\nvXXD2ZVnizuyOX+jJTXn3zcd5/dTezO1XwT/+sUQzYGWVlC5zH9qbA+nIDp/o4Flu7LJKrpGt9DA\nWrGPVwdBAUYWPTKYwVHBHDp1mcc//NHlpOZpola/A5t7pTV50dxRXb2e4F1NaL6wjdeWsPFm8t6d\nUcSyXdlM7hvhlqVXQWPS9KsLnbpCR7Vw7nIpk97aRfENE91CA8k9f43ZI7vSv3MbW4KZuR8l8daD\n/fng+5Mknixmar8I3vz5gGprSmUmMws+SmRzehFPDOvCwp/2cXne5tQCjpy+THxkG5fRxrWZpaum\n+OLHPBv98/OTujN/TI8q30NNq6CY3lxx/2t5+5SUmnh7WwYV0pKTYmJf+1iR6tA2VAU18UDy5lo1\nl9byGd4FINa3V1R14dOcyjpuDXjS+JTfTxSVMOL17RTfMBHcwsiqJ4Yyb3Q33t2djdFgsJl5Fj88\nkPVH820ZzV69z2JKqo5WWVJq4ulVSWxOt2h8islIC5ZArGR+EtOOu/p3dDlwPfnf1yeCAprZPr+2\nKZM9xy2eLmUmMxtT8tl4NN+W8MVVew6OasvEuDBKSi1mp/G9w215rdXuq65MJ8t2ZbN8Ty7v783l\nqU+TnbTt2taYa2JO8mSmsa2aRnVleRWC7hr6fkpN0fBGgo56w/ZjhcxfdZA5I7vy6wk9nAaTkmfA\nYABl/lk4JY6wNgE8Pa67XQYof6MBBGxKPceUvuG8dv8AggKM1dYq39mRxcY0i7tqbPtA/nZvvMtz\nm8LSfmxcOPf278BXhy2CYMa/kxjRrR3+Rj+2pRchgLcfHkhAMz+79lRrsCv25bI+tZANqYUEBfjb\n5S9QX7P9WCFLdmYxZ6S9GWnuqK6UmypsKwTH9vSGtqEmGnVd7F2o+6E3ZW0Kfcsd9BWCDhtMZomU\nFs1w0bZMJ61zaGwI4a2b24TBmB7tuXtgJGCvkSlaq6nCjERyd/9OtkxmVc1BC5V0EgCTeofz7YLh\nbj2BGtMmniv4Gw386d7+hLeq1Nn2ZF1km3WFJLG4QzpOUGoN9vFhMUzpG86bD8Q7ZTKzm9QECAT9\nO7exa7OgACMvTe3Nwrt6c9eATtVqT3catacVqTdafnX3MBy939T7LO60/6bQt9yhadZKR7VgNAiE\ngMl9OrB0Z5bdwCguKeOX/z5A/pWbxLYP5LE7onn7EW3uGWVgGQ0G3p2RYMcVv2DVIYx+hioNqGW7\nstmUWsjUfhG8/UilR5Hac6axBP5UBXsziyi8ah+LcFefcN64P555o7ry5JhuThOUerLfn3uBjamF\nBPjbU4M4XqNkxxvby/f7AO406pqaX9xdrzgfaNGAQGUb/JBzwWV8za0IfVP5FoTj0tgx2bjjxqN6\nA3lQVDCzR8Yytpe9P7y7610911u42vxVzE/R7VqSc/4aSx8d1GBZJKuKMpOZt7YeZ9nOHGLbB5B1\nvhQAfz/I+PNUr+6x8Wh+rdNW1wQ13aB1d72S28NT4pmqlqE6ZVZfc63U5DIvRW1C31TW4RKOmpWj\n739QgNHOzfPuxXttG8gzh3ZhwapDdlqZcv07O7KYvTKRvZlFmsvqqiy3lYCx4pIyty6q/SPbkH3+\nmsWb1YVu05ioAxTsziji3d253Nkvgs/njuC+QZYsZu0Dm3HucqntPEUTLi4pc6pjbWr+vkBNzS/u\nrp87qqtmnIt6U76k1MT2Y4WUlJbzh2+PMubvOzhz8brTvdTwZlXj2N+UaxZty+S3X6WwLiWfWSsT\nG2R/1AXCLYYTRSUs/CqFl3/ay7Y0drVUTjtziQF/3ETBVQs/0cIpvZgSH+F07tDYEGaNiKW8wmyZ\nlEXNylhmMjNrZaJHQjV/o4EZQ6MQwBPDuthMU+oBeebidUa9tp3ZH2oHHzVUjOwRytxRXdl4NJ+k\nvGImxFl4iM5eKWf+qoO285Qk7Qu/Oeo0UXk74XoyrzRGuFIidmcUMX/VQZ78+BDLdmUzf9VBfv3Z\nYT4+cIrc89eZ8a8Dbu/rjVnJUWgo73Lpziwm9elAQnRbkk9dapD9UTcZ3WK4/S9byb9ykyABJRL+\nPXMgY3rb59AtM5lZfySfX3+WbFO6J8WF8/b0QZrBSYu2ZfLOjiwMQjBvdFeeHtcdsHgtIbAzL3mD\nrWmFzP4wkUHRbXlvRoLm0tpdLlzFVPLYHdGsTjrN1VITYUH+7H1xXKPaDFSnvQwMMLIm+Qwr9uVw\n6dpNmhmN/Oexn3D07GXSzl5h1oiuJOUVV8v84q15pSlA6TcIGN4tlL2ZRZSWV/De3mxSz5Ywc2g0\nC+/q7XNTlvoYeJd72ZfweU5lIYQfkAickVLeJYSIAT4F2gEHgRlSSqc4eyFEPLAcaI2FJn+IlLJU\nCOEPLAZGW4//Tkr5pbsy6AKh5jhRVMLD7/1AviqHwIm/2dukv046xTOfH7F9j+sQxOdzh2n66yt2\n/NkjYojvHGyb/LemFTJ7ZSICwfIZ3ruYqgesO0Hi7v4bU/KZ//FB1AvyHmEBbH52nFdlaCj4/ddH\n+PCHU8wc2pk/TrO42Y5/YydZVu6o4ABBSRk1Dgxz3KNprMFX1YFS18FRbVmxL5e5o7raNpqbUtKc\n2thD+BVwTPX9VeBNKWV3oBh4XKMQRuAjYK6Usg+WyV9Jsvs74JyUsgfQG9hVhbLoqCa6hAbx/W/H\n8++ZlkTzyn+wTAwvfZnMsyphMCAy2KUwgMol9DMTeto2LhVyuiWPDOKd6VVzMVWyZykBblpQ3FcX\n/XyA5v3HxoXzl3v7EhZUGdxVcLmcjSn5DdJu6wrb0y1xF/89eJq1yZYEQ/957Ce23y+VSp94xfiK\ns6cxQqlrUl6xrQ1uZW8jrwSCECISmAq8b/0ugLHAF9ZT/gNM07h0InBESnkYQEp5QUppJSzmf4C/\nWo+bpZTnq1sJHVXHmN4dOfG3qTZzUUmpiRkr9vPJj2dsmnVYK38+euI2t5G86uCkrWmFbD9WaNug\ndmTZ9AaOGazUUbkKFPfVAH+j5v39jQa+OHiGcyXlRLVtQXALIyVlFcxfdbBxTXLCshlTUiZtkcKd\n2rUkobMl81lLoyUbmrv29XZDXX2e44To7h717fpbU4cBT9xZtxq8rfFbwPNUZkYMAS5JKZVdqNNA\nJ43regBSCLFJCHFQCPE8gBAi2Pr7n6zHPxdCaK7NhBCzhRCJQojEoqJGNJgbGZbtyubQKQuddDMB\ncRGBrF0wwmtaB0XTQlAj7coxg5WyAaieyN1pcGUmM2uTz9A7ojUDOwfzxdw7OPC7CSyZPogljwxq\nVFrf2J4W1tOodgF2wWVxHS3D57oJZq90b0L1VttXn+c4Iaq9ZLTySCikefWxqqjpauZWnvy14HG0\nCyHuwmLaSRJCjFYOa5yqtRlhBIYDQ4DrwDYhRBJwGIgE9kkpnxVCPAv8HZjhdFMp3wXeBcse89z2\n6QAAFtpJREFUgsca6bCDJ3twmcnM9vRCurQLYEJcGNEhLXlmfNX5fRzzJdS0fGUmM6YKM4seGoDR\nz2BbMSjnurLt7s4o4qlPLZvhC8Z0I6xNAECD9MP3hOcnx3HhWjmbUgsIauFva5/mzSrbqVULP7f3\n8Nb84e48tZfMgM7Bdm2vXDc4qi2AV6yhNYFjf7mVzTu1AW9G7jDgbiHECSybyGOxrBiCrXsEYJnc\nz2pcexrYJaU8L6W8DqwHBgEXsAiIr6znfW49rsPH8KRBbU8vZP7HB3nuy6NsO3aOobHtXaaY9EQz\n4EiaVpPy2fYS/AwYDQa356oxskcobz80gPmjY13mTm4sCAow8so9fZnUp4NtwgXoFV6ZBc7gYQh7\nqwG7O8/faODpcd01SeCU65Lyilm2K5sfci54U7VqozHtb3hjamtoe1oeBYKU8iUpZaSUsgvwELBd\nSjkd2AHcbz3tF8A3GpdvAuKFEC2twmMUkCYtrk1rsGwyA4wD0mpSER3acKdBlZSa+ObQWaS0LPnm\njo51qWltP2bx6tl+rNDls6ozWF2VTzmOpErUAv5GA3cN6MTzk+OqxWLa0Abqin25rEvJt8ssl6NK\nSISom0WzJ8EyNDaEuaO61voKwR13U0ODu7LtzihizspETTNcvUJK6fUflgl8rfVzLHAAyMKi4Te3\nHr8b+KPqmkeBVOAo8JrqeDSwGzgCbAOiPD1/8ODBUofv8Lf1x2T0C2vl7A9+lBtSzsqb5RUuz92Q\nclbGvrhObkg56/Kcm+UVcktqgdv7VBW1cU932JJaILu+tE5uSS2ok+d5wtUb5fL1jeny6o1y27GL\nV2/KwX/aJKNfWCt/+a/99Vi6Smw4clbGvLhWbjjiun/UBhpyn3N3n5vlFfL1jel11teAROnFHK8H\npjUxlJnMbD6aT1rBFeaP7q6pJZeUmnhrawYHci5wNP8Kix4ayF39O2rczf6+t4JvemOo59a0Qp74\n0DIOHhrcib89MKCeS9TweZMUqHm39mYVgcQuqBFqP/GPY1nqoq95G4eg50NoQlBHDUvAIAxOkadl\nJjMvfHmEdSn5ACREt2Vinw4e7+0N931TgLqeDVU4jOwRSmxIS3IuXOf4uWu19pyq1F/hTWrom7uK\nGceySZ6NRPKuQ7a0mm5Ue9tuDXFMNZxerqPGUHLETowLZ85I7U3V7emFbEjJZ1zPMCbFhfPejIQG\nNdn5Ar7aB2io9ml/o4E/39sHA9AlpIUmsZ0vUJX6Nxb3TWWynzuqK+9MH6jpiuxtXdQEjGo01H7j\nDRr229PhFZQJUNnY25peyJAu7ZzMRWUmM4dPXQYBDyREsvwX2jxBjR2+GpAN2aVx/seHMANfJedr\nEttVB46CdGSPUBY/MhBThdljus6GthnvCspkHxRgCWqc3K9qgZNqvPiVZaX94ldH7I435H7jCbpA\naORQzERKdLAr90DlvOW7spk/upuNGbQpwlcDsiFrvZ/NuZ1WAX5EBgfwvxN71Li+6n6kCBZ/o8Xl\nd8EnlsBAd55mjVkrri46B7ew+6+gIfcbT2h8JW7i8DbRvUIVsP1YIUt3ZjF3VFebzVLdGUtKTby2\n8RhvbEq30P1aOeKrGi/QmFCbqRfrA1r01N07tOYn0e04famUP61Nq/EEtDujyK4fKbATrtZUm0pY\nqju6C1+iob6vZyb0ZMGYbjwzoekwxOoCoYHBk6al/P729kxmr0yktNzM8hkJPD2uuyY19W9WJ7Nk\nZw7L9+Qye2QMT4/rbpc28FZEdZKc1CeUnAfLdmXbHS+4YkmUk3mupMblHBobwpyRsfTqEGR3XC1c\nHRPuuKO78GX7NdTVh6ucC40ZukBoYFBrWlqaofK7lGCWcLzwqqZ2WGYy8+aWDDaplve9O7RuUuH+\n1Z10qprkpL6Fg6vsX2YrtVhe8Q3e2HzcVj6t8nqqww85F1i+O5enP0lme7p28KG7/M2Oz1FIDtWT\nuLoMVWnTugh689U79sV96rO/6QLBh/DFi1QPOi3NUPn96XHdWTCmG0+O6eb0bMUerFw3MCoYARit\nA7kx2zjV8KQ5Hs67SM+F6zmcd9HuuDf1V0929a2h+hsN9OrQind2ZFFSarKxwIa0DLCd8+6eHKeU\nqOrybk8vZM7KJJeT/dDYECb2DnebilSrXI7t6I7kUF2uqrTpDzkXap0Ww1fv2Bf3qc/+pgem+RC+\nDmhxlVxe67j62aXlJp76JJnxcWHcM6Ajo3uGaya9b+zw5O/dc+F6bpokzY2Cdx5xTbznDQFgfcYj\nbE0rZNaHiUjgzj4duGdAR+avOohZNXRbB/iRuHAi/kaDZnk3puQzf9VBFj00gIBmRqdsXou2ZbJk\nRxZ39ovg1fviq20GcddW1c0aVtvt721SJm/vVdOy1kZ9ayNBjg4P8LUpxpWNUmvlMLJHKAun9uS5\nz5NZdSAPCWxLP0dAMyNBAcYmsSJwhCdN/7PZQ2luFDw7obtX+zKufq8ucZ+vMLJHKI8Pj0EAm1IL\nQMCSRwbx9/v60amNxW14oqodtNplbFw4785IwGgwONVViV+5s18Em1ILXGri3qyAPZHkKb9VZZVa\n2ytab5IyeQtflLU+V/BNZzekAaA2Iw/VqwLFlqz8LzOZWbwtg0U7LALiu+yL3NmnA1PjI1zmDGiI\nEbi+Rv+odhx/ZQplJjPRIUE2f3rHOnsS5GUmM29tPc6ynTkseXRQnVMz+BsNDIi0JMV5YkSsnRa7\nJuUsZy5foKjkpsvrHTVzx7qqKaxj2ge6tNXbch9UcwXcUPtdU9lT8wUazlvR4RbqVYHjymF7eqFN\nGAC0a2nknw9b+Im0Bl5928TrGo7+9Fq/u9PIdmcUsXxXbpXs6zWBliZuNBowCMGg6GC7cp67ahEE\nR09dsnM+UMOdNxBU1n9/7gWW7MxiZ3qh5krAcXO3qntmDbXfNZU9NV9Ab4FGAi1PkzKTmbWHz/J5\n4mm7c5+f1MvrDdNbBY6pOasykY3sEcobD/Tjzj7h3BZT+wlgFm3LZM7KRLuJ09HlU0HH1pagqAs3\nKnh7W4bmPb193yazGSSknL2sOXE7bu5WdYK/FftdY4MuEBoJHFcFZSYzb2xO56lPDrHNmoy9uZ/g\nD3fH8bPBnZ2uV0+Ct6JG5JiasyoTmb/RwPHCa6xPLeTdPTk+LZejcNqeXsjSndnMGWmfm8LVO/v7\nAwOICWkJQIULBxFv37fRz4AQgn6dgl3mqFBTWbhzO9UStg2h39W3C3FDx60zIzQyeOq4uzOKWL47\n12bBmBwXRtL/m8gv7ojVzURWuGrDkT1CWfzwQExms9cTQ5+OrTEIy39flsvpvUiQSOIjg72aONsG\n+fPk6FgAuoW2rNFkN7ZXOO9MH4jRIDTt/I6mN3dup7XZz2oyqd+K46Aq0AVCA4W7jrshOY8nPkyk\nSzuLH/qcETEsmj7Yravgrbhcd9WG/kYDRj8DC1Zp7yloYWKfDix6aCCpZ6+4tNV7A0fOIMf3ongD\nVYVrKtNKgb0z/XyNE86722sByz7C7BExlJabNCfkuuhnNZnUb8VxUBXoAqGW4eto2jKTmXmfpgBw\n4mIpU/tF8BsPewbQMJbrdQ13g7+q0a/+RgPpBVdZuivbiUKiKnDkDHJ8L2pPNXfRxurP/SKDMQiY\n3K+jXX296XuO5yjtMjiqrea1tojmT5OrtUHvC9RkUq9J+ao7lhuTmerWmR3qCdXVZlx1XPV9BnVu\nzav3xd9Sk7w7KBG8G4/me9wrqU7069xRXZkzIobyiopqrxJG9gh1yT2lhma0sYptVP37xD4deHdG\nAlPiI+zq603fczxHaZcV+3I1rx3ZI9RlHoG6Qn0pN9Udy43KTOVNns2G8tcYcyr7OufrzfIKueHI\nWbscyOq8u3Wdg7ghYUtqgYx5ca0lt6+b3M9SVv+9vL4xXUa/sFa+vjG9JkX1CK3yqfNaO+ZaVs6/\neqPcdp03dXQ8R7nvxas3b6l+VJ228uW9axt4mVNZVy1rGb7QZopLypj/USJfJ50CYHK/CCb3rUzs\noY5RaFTaiI8xskcoc0Z2tcQKeIgXqO57eXxYDFP7RfD4sBi74742C2hGG6tcTx1XOApX0ZIdmW5j\nDjw9R7lvUl5xozAxVpcwzxHejBt1W1XlWY3JXNvwS9jE4U3+g1krE1l/tJBnPj+i2WHnjurK/FEW\n6uLBUW1rnRmyocLfaODXE3rw7syqbcp6izKTmRX7ctl4NJ+kvGK73+pCEKsnFkc7+oWSm1RISYc2\nzWu0aerrTdfatp9XlzDPEVWtd1NVvLwWCEIIPyHEISHEWuv3GCHEfiFEphBitRBCMxejECJeCPG9\nECJVCJEihAiwHt8phDguhEi2/oX5pkqNC0rHWrQtU3PQbD9WSOLJYgZ2bsNbD8RrdtigACODotvx\nzOrDrNiXW+vMkA0ZNdHGtOjG1VA4f+aN7sbQ2BCndJO+yFrm7SYwYFfPFdb4iA/2naiRNupuU7uq\nZYXanzjV7V6Xm81N1VupKr3mV8Ax1fdXgTellN2BYuBxxwuEEEbgI2CulLIPMBooV50yXUo5wPp3\nrqqFbwoY2SOUuaO6snRnliZ3vMks8ROCOaO6Mm1wZ5dsnCazmcUPD2TuqK5NsqPWBRxJAx0nPWUS\n0Eoy5AuzgDeT5+bUAmavTGRzaoFdGX9pNWFFhQS6FGhV0da9TdTkaaKv7YmzuoR5VYGWWQrsBXJj\n8iRyB69aTggRCUwF3rd+F8BY4AvrKf8BpmlcOhE4IqU8DCClvCClrKhpoRszHDuOv9HglAdZTV9g\nNAhNygI1dmcUsWDVIYx+hibLbFoXcKQHcZz03JlsqgJ3AXOe7pmcV4xZQtKJi3aJaPIvWziNdmac\n5+3tmZrXejOJK2UbGhvitize1r8x2c9dwRuzVJMxIXmz84xl4h+MRcNfC7QHslS/dwaOalz3DLAS\n2AQcBJ5X/bYTSAGSgf+HNTeDxj1mA4lAYlRUVC3uw9cNtqQWyK4vrZNbUgs8nvP6xnSvPBMaghdD\nU0Rttas3fcAV/rIuVUa/sFbO/vBH2fUli8eR4l00+4MfZfQLa+Wf16ZpXutNfWpStqYKdbu5akNv\nzqlP4KWXkTfC4C5gifWzIhBCNQRCisa1zwG5VgHSEvgeGGf9rZP1fytgMzDTU1kao9upGlouo2pc\nvVEu/7TmqHzigwPyq6S8BtWhblXUxuD2dE8tF1IF7txCHV1Ra6NsOjyjIQpVbwWCN+u4YcDdQogT\nwKdYTEVvAcHWPQKASOCsxrWngV1SyvNSyuvAemCQdWVyxvr/KrAK+IkXZWnU8JSIY8nOTN7fe4It\nx86x5VhRo15mN3T4YlO0unZjV2YU5X7b063Z73ZlOz1bITlsG+TvdI+gAKNtf6O6tmxfmXiaik29\nOmjMG84e37qU8iUpZaSUsgvwELBdSjkd2AHcbz3tF8A3GpdvAuKFEC2twmMUkCaEMAoh2gMIIZph\nWYUcrXFtaoja7sSeOkrvDhbitIGdg3nlnr51Xr6mAm/ayRebourIYV/Alo9YWpLYVMdBYPPRfGZ9\nmMjmo/k+KVN10WRs6tVAY943qUmJXwCeFUJkASHACgAhxN1CiD8CSCmLgX8AP2LZKzgopVwHNAc2\nCSGOWI+fAd6rQVl8gtruxJ46ysS+Ebw/M4HVc26nbZCzF++tPMiqAq12cuUxVN1N0TKTmcSTF5ES\nEk8W+0RIK2UaGxfO+N7h1XIQSCu4grT+r080Zi25uqiqwtYQFTwhXXCoN0QkJCTIxMTEWrt/Q03x\np6Chl6+hQKudtqYV1ij9oyPUie8F8N7MhFpLn1oVqFOtumO/1eF7VLWP+bpPuoMQIklKmeDxPF0g\n6LgV4GthWmYyszk1n5TTl+kXGczEPh10IX2Lo6p9rC4VPF0g6NChQ4cOwHuBoKs0OnTo0KED0AWC\nDh06dOiwQhcIOnTo0KED0AWCDh06dOiwQhcIOnTo0KED0AWCDh06dOiwQhcIOnTo0KED0AWCDh06\ndOiwQhcIOnTo0KED0AWCDh06dOiwQhcIOnTo0KED0AWCDh06dOiwolGR2wkhioCTdfjI9sD5Onxe\nXaOp1w+afh2bev2g6dexLuoXLaX0mJyiUQmEuoYQItEbhsDGiqZeP2j6dWzq9YOmX8eGVD/dZKRD\nhw4dOgBdIOjQoUOHDit0geAe79Z3AWoZTb1+0PTr2NTrB02/jg2mfvoegg4dOnToAPQVgg4dOnTo\nsOKWFAhCiNVCiGTr3wkhRLLD71FCiBIhxHMuro8RQuwXQmRa7+VvPf6sECJNCHFECLFNCBFdF/XR\nKF9t1a+59XuW9fcutV8bzfJp1k8I8RPV8cNCiHtdXD9WCHFQCHFUCPEfIYTReryNEGKN9dpUIcRj\ndVkvhzLWSh2tv422Xp8qhNhVV3VyKF+t1c/6+xAhRIUQ4v66qI+LMtZWP51unWOOCCG+E0L091mh\npZS39B/wBvB7h2NfAp8Dz7m45jPgIevnZcA86+cxQEvr53nA6iZWv/nAMuvnhxpa/YCWgNH6OQI4\np3xXnW8ATgE9rN//CDxu/fxb4FXr51DgIuDfxOoYDKQBUdbvYU2pftbvfsB2YD1wf33Xrxbe4R1A\nW+vnO4H9virnLblCUCCEEMCDwCeqY9OAHCDVzTVjgS+sh/4DTAOQUu6QUl63Hv8BiKydknsHX9cP\nuMf6Hevv46zn1wsc6yelvC6lNFl/DgC0NshCgJtSygzr9y3AfdbPEmhlvW8QFoFgcr5F3aEW6vgI\n8F8pZZ71fudqq+zeoBbqB/AUFqWnXuumwNd1lFJ+J6Usth736TxzSwsEYARQKKXMBBBCBAIvAH9w\nc00IcEn1Qk8DnTTOexzY4MOyVge+rl8nLFoL1t8vW8+vL9jVD0AIcZsQIhVIAeaq6qHgPNBMCKEE\nAt0PdLZ+XgzEAWet1/9KSmmuzQp4AV/XsQfQVgixUwiRJISYWcvl9wSf1k8I0Qm4F8vKtqHA1+9Q\nDZ/OM0bPpzROCCG2Ah00fvqdlPIb6+eHUWnPWCbKN6WUJW4UX60f7CS8EOJRIAEYVaVCVwH1VD+P\ndfcVqlk/pJT7gT5CiDjgP0KIDVLKUtXvUgjxEPCmEKI5sJnKVcAkIBnLCqkrsEUIsUdKecWXdVNQ\nT3U0AoOBcUAL4HshxA8qTdRnqKf6vQW8IKWsqIvFaz3VUXn2GCwCYbjPKlTftrX6+sMyMAqBSNWx\nPcAJ698lLCaDBQ7XCSzSW7EB3g5sUv0+HjhGPdtma6N+wCbgdtX9z2N1XW4I9dM4ZweQ4OE+E4HP\nrJ/XASNUv20HftKQ3qEP6vgi8LLqtxXAA02ofrmqPl6CxWw0rSm9Q+v3eCAb6x6Dz8pbXw1V33/A\nZGCXm99fxvWm6+fYb7rOt34eaH1J3Zto/Z7EflP5M1+V1xf1A2JUgiwai+mnvca1Ydb/zYFtwFjr\n96XKZAmEA2e0rm/kdYyzfjdi2dw8CvRtKvVzOOcD6nlTuZbeYRSQBdzh6/LeynsID+GwjHMHIcR6\nIURH69cXgGeFEFlYbOgrrMdfx7IZ+bnVpexbXxa4iqiN+q0AQqzHn8WibdYXtOo3HDhsde/7Cosg\nOw9O9ftfIcQx4AiwRkq53Xr8T8AdQogULAPwBeX6eoLP6yilPAZstB4/ALwvpTxa+1XRRG28w4aG\n2qjj77GMyyXWeSbRV4XVI5V16NChQwegexnp0KFDhw4rdIGgQ4cOHToAXSDo0KFDhw4rdIGgQ4cO\nHToAXSDo0KFDhw4rdIGgQ4cOHToAXSDo0KFDhw4rdIGgQ4cOHToA+P9Z+vn2U/4eOwAAAABJRU5E\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a25e2a9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x_tod[\"daytime\"], y_tod[\"daytime\"], s=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a276acb70>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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8nKloaFer/L6OlF9qv6WmspsNyZwBsPqrvB7vUTIf/f1EGRmVTWRVNfHw+JFA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tP8povKrgW6dfcFQfAHZgIfGD4LwATgM8MmHwF3Wtl1CnBMFMWjAKIoXhBFsc14A0EQBgFewP4r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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a26506320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x_tod[\"evening_rush\"], y_tod[\"evening_rush\"], s=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1a2810ea90>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8kjMlTVw3XjmEmF1pG9x/tFF5VIOu0+f+WjE1wIHEeycPWYSDPX8Gh9l/d7aM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nq8CosIp2o6Zcy8rbTytyzGT4lGb+HJ5Ul8WdTO5eZeXrkth+KWPhDggXmJPPFpEYfKNEyLD6Bv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hlgL7pZRL7M4x0ios9gshAoFaKWWLEOJFwENK+bwQwgD0llI68iFYYezYsTI1NbWtIjrawJbc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\naPMOYgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a2652dd30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x_tod['night'], y_tod['night'], s=0.5)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Perform Clustering on the locations for each time of the day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Density based and K-Means"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def createTrainAndTestSet(x, y):\n",
    "    numTrain = len(x)*2/3\n",
    "    x_train = x[:numTrain]\n",
    "    y_train = y[numTrain:]\n",
    "    x_test = x[:numTrain]\n",
    "    y_test = y[numTrain:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# examine tips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pickup_datetime</th>\n",
       "      <th>pickup_longitude</th>\n",
       "      <th>pickup_latitude</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>fare_amount</th>\n",
       "      <th>tip_amount</th>\n",
       "      <th>tolls_amount</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>passenger_count</th>\n",
       "      <th>trip_distance</th>\n",
       "      <th>location</th>\n",
       "      <th>time_of_day</th>\n",
       "      <th>kmeans_cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-06-09 21:06:38</td>\n",
       "      <td>-74.016121</td>\n",
       "      <td>40.710899</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.30</td>\n",
       "      <td>1</td>\n",
       "      <td>0.70</td>\n",
       "      <td>(-74.0161209106, 40.710899353)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-06-09 21:09:53</td>\n",
       "      <td>-74.008247</td>\n",
       "      <td>40.711269</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.69</td>\n",
       "      <td>1</td>\n",
       "      <td>2.02</td>\n",
       "      <td>(-74.0082473755, 40.7112693787)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-06-09 21:09:55</td>\n",
       "      <td>-74.016251</td>\n",
       "      <td>40.711048</td>\n",
       "      <td>1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.36</td>\n",
       "      <td>1</td>\n",
       "      <td>5.56</td>\n",
       "      <td>(-74.0162506104, 40.7110481262)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-06-09 21:06:00</td>\n",
       "      <td>-74.003128</td>\n",
       "      <td>40.706345</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.50</td>\n",
       "      <td>1</td>\n",
       "      <td>4.20</td>\n",
       "      <td>(-74.0031280518, 40.7063446045)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-06-09 21:06:02</td>\n",
       "      <td>-73.987724</td>\n",
       "      <td>40.700386</td>\n",
       "      <td>1</td>\n",
       "      <td>11.5</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.80</td>\n",
       "      <td>1</td>\n",
       "      <td>2.30</td>\n",
       "      <td>(-73.9877243042, 40.7003860474)</td>\n",
       "      <td>night</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      pickup_datetime  pickup_longitude  pickup_latitude  payment_type  \\\n",
       "0 2016-06-09 21:06:38        -74.016121        40.710899             1   \n",
       "1 2016-06-09 21:09:53        -74.008247        40.711269             1   \n",
       "2 2016-06-09 21:09:55        -74.016251        40.711048             1   \n",
       "3 2016-06-09 21:06:00        -74.003128        40.706345             1   \n",
       "4 2016-06-09 21:06:02        -73.987724        40.700386             1   \n",
       "\n",
       "   fare_amount  tip_amount  tolls_amount  total_amount  passenger_count  \\\n",
       "0          5.0        2.00           0.0          8.30                1   \n",
       "1         10.0        3.39           0.0         14.69                1   \n",
       "2         19.0        4.06           0.0         24.36                1   \n",
       "3         20.0        2.20           0.0         23.50                1   \n",
       "4         11.5        1.00           0.0         13.80                1   \n",
       "\n",
       "   trip_distance                         location time_of_day  kmeans_cluster  \n",
       "0           0.70   (-74.0161209106, 40.710899353)       night               0  \n",
       "1           2.02  (-74.0082473755, 40.7112693787)       night               0  \n",
       "2           5.56  (-74.0162506104, 40.7110481262)       night               0  \n",
       "3           4.20  (-74.0031280518, 40.7063446045)       night               0  \n",
       "4           2.30  (-73.9877243042, 40.7003860474)       night               2  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickups_brooklyn.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def calculateTipsPerc(fare, tips):\n",
    "    return tips/fare"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ -1.00000000e+02,  -7.90000000e+01,  -6.00000000e+01,\n",
       "        -5.50000000e+01,  -5.20000000e+01,  -4.50000000e+01,\n",
       "        -3.00000000e+01,  -2.65000000e+01,  -2.50000000e+01,\n",
       "        -2.18000000e+01,  -2.15000000e+01,  -2.13000000e+01,\n",
       "        -2.00000000e+01,  -1.85000000e+01,  -1.43000000e+01,\n",
       "        -1.05000000e+01,  -9.50000000e+00,  -7.50000000e+00,\n",
       "        -7.00000000e+00,  -6.50000000e+00,  -6.00000000e+00,\n",
       "        -5.50000000e+00,  -5.00000000e+00,  -4.70000000e+00,\n",
       "        -4.50000000e+00,  -4.00000000e+00,  -3.50000000e+00,\n",
       "        -3.00000000e+00,  -2.50000000e+00,   0.00000000e+00,\n",
       "         1.00000000e-02,   8.00000000e-02,   1.00000000e-01,\n",
       "         2.30000000e-01,   2.60000000e-01,   5.00000000e-01,\n",
       "         1.00000000e+00,   2.50000000e+00,   3.00000000e+00,\n",
       "         3.30000000e+00,   3.50000000e+00,   4.00000000e+00,\n",
       "         4.30000000e+00,   4.50000000e+00,   4.70000000e+00,\n",
       "         4.90000000e+00,   5.00000000e+00,   5.05000000e+00,\n",
       "         5.30000000e+00,   5.34000000e+00,   5.50000000e+00,\n",
       "         5.54000000e+00,   6.00000000e+00,   6.30000000e+00,\n",
       "         6.35000000e+00,   6.50000000e+00,   6.70000000e+00,\n",
       "         6.80000000e+00,   7.00000000e+00,   7.50000000e+00,\n",
       "         7.80000000e+00,   8.00000000e+00,   8.30000000e+00,\n",
       "         8.50000000e+00,   8.80000000e+00,   8.90000000e+00,\n",
       "         9.00000000e+00,   9.30000000e+00,   9.50000000e+00,\n",
       "         9.80000000e+00,   9.88000000e+00,   1.00000000e+01,\n",
       "         1.01000000e+01,   1.02000000e+01,   1.03000000e+01,\n",
       "         1.05000000e+01,   1.08000000e+01,   1.10000000e+01,\n",
       "         1.11600000e+01,   1.13000000e+01,   1.15000000e+01,\n",
       "         1.17500000e+01,   1.18000000e+01,   1.19000000e+01,\n",
       "         1.20000000e+01,   1.21000000e+01,   1.22200000e+01,\n",
       "         1.23000000e+01,   1.25000000e+01,   1.28000000e+01,\n",
       "         1.30000000e+01,   1.33000000e+01,   1.33300000e+01,\n",
       "         1.35000000e+01,   1.37000000e+01,   1.38000000e+01,\n",
       "         1.40000000e+01,   1.43000000e+01,   1.45000000e+01,\n",
       "         1.48000000e+01,   1.50000000e+01,   1.52500000e+01,\n",
       "         1.53000000e+01,   1.55000000e+01,   1.56000000e+01,\n",
       "         1.58000000e+01,   1.60000000e+01,   1.63000000e+01,\n",
       "         1.65000000e+01,   1.66600000e+01,   1.68000000e+01,\n",
       "         1.70000000e+01,   1.73000000e+01,   1.75000000e+01,\n",
       "         1.76000000e+01,   1.78000000e+01,   1.80000000e+01,\n",
       "         1.81000000e+01,   1.83000000e+01,   1.85000000e+01,\n",
       "         1.88000000e+01,   1.90000000e+01,   1.93000000e+01,\n",
       "         1.95000000e+01,   1.97000000e+01,   1.98000000e+01,\n",
       "         2.00000000e+01,   2.03000000e+01,   2.05000000e+01,\n",
       "         2.08000000e+01,   2.10000000e+01,   2.12100000e+01,\n",
       "         2.13000000e+01,   2.15000000e+01,   2.18000000e+01,\n",
       "         2.20000000e+01,   2.22200000e+01,   2.23000000e+01,\n",
       "         2.25000000e+01,   2.28000000e+01,   2.30000000e+01,\n",
       "         2.33000000e+01,   2.35000000e+01,   2.38000000e+01,\n",
       "         2.40000000e+01,   2.43000000e+01,   2.45000000e+01,\n",
       "         2.46600000e+01,   2.47000000e+01,   2.48000000e+01,\n",
       "         2.50000000e+01,   2.53000000e+01,   2.55000000e+01,\n",
       "         2.58000000e+01,   2.58500000e+01,   2.60000000e+01,\n",
       "         2.63000000e+01,   2.65000000e+01,   2.70000000e+01,\n",
       "         2.75000000e+01,   2.78000000e+01,   2.80000000e+01,\n",
       "         2.83000000e+01,   2.85000000e+01,   2.88000000e+01,\n",
       "         2.90000000e+01,   2.93000000e+01,   2.95000000e+01,\n",
       "         2.97000000e+01,   2.98400000e+01,   3.00000000e+01,\n",
       "         3.03000000e+01,   3.05000000e+01,   3.07000000e+01,\n",
       "         3.08000000e+01,   3.10000000e+01,   3.13000000e+01,\n",
       "         3.13400000e+01,   3.15000000e+01,   3.18000000e+01,\n",
       "         3.18400000e+01,   3.20000000e+01,   3.25000000e+01,\n",
       "         3.28000000e+01,   3.30000000e+01,   3.33000000e+01,\n",
       "         3.35000000e+01,   3.38000000e+01,   3.40000000e+01,\n",
       "         3.42000000e+01,   3.45000000e+01,   3.50000000e+01,\n",
       "         3.55000000e+01,   3.58000000e+01,   3.60000000e+01,\n",
       "         3.65000000e+01,   3.68000000e+01,   3.70000000e+01,\n",
       "         3.73000000e+01,   3.75000000e+01,   3.80000000e+01,\n",
       "         3.85000000e+01,   3.88000000e+01,   3.90000000e+01,\n",
       "         3.93000000e+01,   3.94000000e+01,   3.95000000e+01,\n",
       "         4.00000000e+01,   4.03000000e+01,   4.05000000e+01,\n",
       "         4.10000000e+01,   4.10300000e+01,   4.15000000e+01,\n",
       "         4.20000000e+01,   4.25000000e+01,   4.28400000e+01,\n",
       "         4.30000000e+01,   4.33000000e+01,   4.35000000e+01,\n",
       "         4.38000000e+01,   4.40000000e+01,   4.43000000e+01,\n",
       "         4.45000000e+01,   4.48000000e+01,   4.50000000e+01,\n",
       "         4.53000000e+01,   4.53400000e+01,   4.55000000e+01,\n",
       "         4.58000000e+01,   4.60000000e+01,   4.65000000e+01,\n",
       "         4.68000000e+01,   4.70000000e+01,   4.73000000e+01,\n",
       "         4.75000000e+01,   4.80000000e+01,   4.83000000e+01,\n",
       "         4.85000000e+01,   4.88400000e+01,   4.90000000e+01,\n",
       "         4.95000000e+01,   4.98000000e+01,   5.00000000e+01,\n",
       "         5.05000000e+01,   5.08000000e+01,   5.10000000e+01,\n",
       "         5.15000000e+01,   5.18000000e+01,   5.20000000e+01,\n",
       "         5.22500000e+01,   5.25000000e+01,   5.30000000e+01,\n",
       "         5.35000000e+01,   5.38000000e+01,   5.40000000e+01,\n",
       "         5.41000000e+01,   5.45000000e+01,   5.50000000e+01,\n",
       "         5.53400000e+01,   5.55000000e+01,   5.55500000e+01,\n",
       "         5.60000000e+01,   5.65000000e+01,   5.70000000e+01,\n",
       "         5.73000000e+01,   5.75000000e+01,   5.80000000e+01,\n",
       "         5.83000000e+01,   5.83400000e+01,   5.85000000e+01,\n",
       "         5.88000000e+01,   5.90000000e+01,   5.95000000e+01,\n",
       "         5.98000000e+01,   5.99900000e+01,   6.00000000e+01,\n",
       "         6.00500000e+01,   6.05000000e+01,   6.10000000e+01,\n",
       "         6.15000000e+01,   6.20000000e+01,   6.25000000e+01,\n",
       "         6.28400000e+01,   6.30000000e+01,   6.35000000e+01,\n",
       "         6.40000000e+01,   6.45000000e+01,   6.50000000e+01,\n",
       "         6.55000000e+01,   6.60000000e+01,   6.65000000e+01,\n",
       "         6.70000000e+01,   6.75000000e+01,   6.80000000e+01,\n",
       "         6.83000000e+01,   6.85000000e+01,   6.90000000e+01,\n",
       "         6.93000000e+01,   6.95000000e+01,   7.00000000e+01,\n",
       "         7.05000000e+01,   7.10000000e+01,   7.15000000e+01,\n",
       "         7.20000000e+01,   7.25000000e+01,   7.29500000e+01,\n",
       "         7.30000000e+01,   7.35000000e+01,   7.40000000e+01,\n",
       "         7.45000000e+01,   7.50000000e+01,   7.55000000e+01,\n",
       "         7.60000000e+01,   7.65000000e+01,   7.70000000e+01,\n",
       "         7.75000000e+01,   7.80000000e+01,   7.85000000e+01,\n",
       "         7.90000000e+01,   7.95000000e+01,   8.00000000e+01,\n",
       "         8.05000000e+01,   8.10000000e+01,   8.15000000e+01,\n",
       "         8.20000000e+01,   8.25000000e+01,   8.30000000e+01,\n",
       "         8.35000000e+01,   8.40000000e+01,   8.45000000e+01,\n",
       "         8.50000000e+01,   8.55000000e+01,   8.60000000e+01,\n",
       "         8.65000000e+01,   8.70000000e+01,   8.80000000e+01,\n",
       "         8.85000000e+01,   8.90000000e+01,   8.95000000e+01,\n",
       "         9.00000000e+01,   9.05000000e+01,   9.15000000e+01,\n",
       "         9.20000000e+01,   9.30000000e+01,   9.35000000e+01,\n",
       "         9.45000000e+01,   9.50000000e+01,   9.55000000e+01,\n",
       "         9.60000000e+01,   9.65000000e+01,   9.70000000e+01,\n",
       "         9.75000000e+01,   9.80000000e+01,   9.85000000e+01,\n",
       "         9.95000000e+01,   1.00000000e+02,   1.03000000e+02,\n",
       "         1.04000000e+02,   1.04500000e+02,   1.05000000e+02,\n",
       "         1.06000000e+02,   1.09000000e+02,   1.10000000e+02,\n",
       "         1.10500000e+02,   1.11500000e+02,   1.13000000e+02,\n",
       "         1.15000000e+02,   1.17000000e+02,   1.17500000e+02,\n",
       "         1.18000000e+02,   1.19500000e+02,   1.20000000e+02,\n",
       "         1.20010000e+02,   1.21000000e+02,   1.23500000e+02,\n",
       "         1.24500000e+02,   1.25000000e+02,   1.25500000e+02,\n",
       "         1.25540000e+02,   1.26000000e+02,   1.30000000e+02,\n",
       "         1.31500000e+02,   1.33000000e+02,   1.35000000e+02,\n",
       "         1.36000000e+02,   1.40000000e+02,   1.43000000e+02,\n",
       "         1.43750000e+02,   1.44000000e+02,   1.48000000e+02,\n",
       "         1.50000000e+02,   1.51000000e+02,   1.52500000e+02,\n",
       "         1.53500000e+02,   1.60000000e+02,   1.69500000e+02,\n",
       "         1.70000000e+02,   1.71500000e+02,   1.75000000e+02,\n",
       "         1.75380000e+02,   1.82500000e+02,   1.84000000e+02,\n",
       "         2.00000000e+02,   2.04000000e+02,   2.25000000e+02,\n",
       "         2.30000000e+02,   2.35000000e+02,   2.40000000e+02,\n",
       "         2.79000000e+02,   2.82000000e+02,   3.00000000e+02,\n",
       "         3.42000000e+02,   3.50000000e+02,   5.00000000e+02,\n",
       "         6.00000000e+02,   1.21000000e+03])"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fares = pickups_brooklyn['fare_amount'].unique()\n",
    "fares.sort()\n",
    "fares"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(416527, 13)"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickups_brooklyn.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pickups_brooklyn = pickups_brooklyn[pickups_brooklyn['fare_amount'] >0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(416183, 13)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickups_brooklyn.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "fares = pickups_brooklyn['fare_amount'].unique()\n",
    "fares.sort()\n",
    "# There are fares with negative values or value 0, remove these rows?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tipsPerc = []\n",
    "pickups_brooklyn['tips_perc'] = np.nan\n",
    "for x, y in zip(pickups_brooklyn['fare_amount'].values, pickups_brooklyn['tip_amount'].values):\n",
    "    tipsPerc.append(round(calculateTipsPerc(x, y), 2))\n",
    "pickups_brooklyn['tips_perc'] = tipsPerc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "294"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# plot histogram of tipsPerc\n",
    "#np.histogram(pickups_brooklyn['tips_perc'])#.hist(bins=0.5).plot()\n",
    "len(pickups_brooklyn['tips_perc'].unique())\n",
    "#len(pickups_brooklyn['tips_perc'].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#plt.hist(pickups_brooklyn['tips_perc'])  # arguments are passed to np.histogram\n",
    "#plt.title(\"Histogram with 'auto' bins\")\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#pickups_brooklyn.hist('tips_perc', bins='auto')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x116624080>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VH6gJ3wXOT3LRWXh/SdIMnG4AFPCtJCNJ1ne1d1XVAYDu/p1dfSnwwqR1x7qaJKkHi09z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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a2810efd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(pickups_brooklyn['passenger_count'].values, pickups_brooklyn['tips_perc'].values, s=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pickups_brooklyn = pickups_brooklyn[pickups_brooklyn['tips_perc'] <1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(415587, 14)"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickups_brooklyn.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x116624e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.gca()\n",
    "ax.set_xticks(np.arange(0, 1, 0.1))\n",
    "ax.set_yticks(np.arange(0, 160000, 20000))\n",
    "plt.hist(pickups_brooklyn['tips_perc'], bins=20)\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pickup_datetime</th>\n",
       "      <th>pickup_longitude</th>\n",
       "      <th>pickup_latitude</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>fare_amount</th>\n",
       "      <th>tip_amount</th>\n",
       "      <th>tolls_amount</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>passenger_count</th>\n",
       "      <th>trip_distance</th>\n",
       "      <th>location</th>\n",
       "      <th>time_of_day</th>\n",
       "      <th>kmeans_cluster</th>\n",
       "      <th>tips_perc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-06-09 21:06:38</td>\n",
       "      <td>-74.016121</td>\n",
       "      <td>40.710899</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.30</td>\n",
       "      <td>1</td>\n",
       "      <td>0.70</td>\n",
       "      <td>(-74.0161209106, 40.710899353)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "      <td>0.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-06-09 21:09:53</td>\n",
       "      <td>-74.008247</td>\n",
       "      <td>40.711269</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.69</td>\n",
       "      <td>1</td>\n",
       "      <td>2.02</td>\n",
       "      <td>(-74.0082473755, 40.7112693787)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "      <td>0.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-06-09 21:09:55</td>\n",
       "      <td>-74.016251</td>\n",
       "      <td>40.711048</td>\n",
       "      <td>1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.36</td>\n",
       "      <td>1</td>\n",
       "      <td>5.56</td>\n",
       "      <td>(-74.0162506104, 40.7110481262)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "      <td>0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-06-09 21:06:00</td>\n",
       "      <td>-74.003128</td>\n",
       "      <td>40.706345</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.50</td>\n",
       "      <td>1</td>\n",
       "      <td>4.20</td>\n",
       "      <td>(-74.0031280518, 40.7063446045)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "      <td>0.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-06-09 21:06:02</td>\n",
       "      <td>-73.987724</td>\n",
       "      <td>40.700386</td>\n",
       "      <td>1</td>\n",
       "      <td>11.5</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.80</td>\n",
       "      <td>1</td>\n",
       "      <td>2.30</td>\n",
       "      <td>(-73.9877243042, 40.7003860474)</td>\n",
       "      <td>night</td>\n",
       "      <td>2</td>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      pickup_datetime  pickup_longitude  pickup_latitude  payment_type  \\\n",
       "0 2016-06-09 21:06:38        -74.016121        40.710899             1   \n",
       "1 2016-06-09 21:09:53        -74.008247        40.711269             1   \n",
       "2 2016-06-09 21:09:55        -74.016251        40.711048             1   \n",
       "3 2016-06-09 21:06:00        -74.003128        40.706345             1   \n",
       "4 2016-06-09 21:06:02        -73.987724        40.700386             1   \n",
       "\n",
       "   fare_amount  tip_amount  tolls_amount  total_amount  passenger_count  \\\n",
       "0          5.0        2.00           0.0          8.30                1   \n",
       "1         10.0        3.39           0.0         14.69                1   \n",
       "2         19.0        4.06           0.0         24.36                1   \n",
       "3         20.0        2.20           0.0         23.50                1   \n",
       "4         11.5        1.00           0.0         13.80                1   \n",
       "\n",
       "   trip_distance                         location time_of_day  kmeans_cluster  \\\n",
       "0           0.70   (-74.0161209106, 40.710899353)       night               0   \n",
       "1           2.02  (-74.0082473755, 40.7112693787)       night               0   \n",
       "2           5.56  (-74.0162506104, 40.7110481262)       night               0   \n",
       "3           4.20  (-74.0031280518, 40.7063446045)       night               0   \n",
       "4           2.30  (-73.9877243042, 40.7003860474)       night               2   \n",
       "\n",
       "   tips_perc  \n",
       "0       0.40  \n",
       "1       0.34  \n",
       "2       0.21  \n",
       "3       0.11  \n",
       "4       0.09  "
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickups_brooklyn.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def classifyTips(tipPerc):\n",
    "    if tipPerc <= 0.05:\n",
    "        return 1\n",
    "    elif tipPerc <= 0.1:\n",
    "        return 2\n",
    "    elif tipPerc <= 0.15:\n",
    "        return 3\n",
    "    elif tipPerc <= 0.2:\n",
    "        return 4\n",
    "    elif tipPerc <= 0.25:\n",
    "        return 5\n",
    "    elif tipPerc <= 0.3:\n",
    "        return 6\n",
    "    elif tipPerc <= 0.35:\n",
    "        return 7\n",
    "    else:\n",
    "        return 8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#type(pickups_brooklyn['tips_perc'].values\n",
    "for x in (pickups_brooklyn['tips_perc'].values):\n",
    "     classifyTips(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classifyTips(pickups_brooklyn['tips_perc'].values[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pickups_brooklyn['tipClass'] = [classifyTips(x) for x in pickups_brooklyn['tips_perc'].values]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pickup_datetime</th>\n",
       "      <th>pickup_longitude</th>\n",
       "      <th>pickup_latitude</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>fare_amount</th>\n",
       "      <th>tip_amount</th>\n",
       "      <th>tolls_amount</th>\n",
       "      <th>total_amount</th>\n",
       "      <th>passenger_count</th>\n",
       "      <th>trip_distance</th>\n",
       "      <th>location</th>\n",
       "      <th>time_of_day</th>\n",
       "      <th>kmeans_cluster</th>\n",
       "      <th>tips_perc</th>\n",
       "      <th>tipClass</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-06-09 21:06:38</td>\n",
       "      <td>-74.016121</td>\n",
       "      <td>40.710899</td>\n",
       "      <td>1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.30</td>\n",
       "      <td>1</td>\n",
       "      <td>0.70</td>\n",
       "      <td>(-74.0161209106, 40.710899353)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "      <td>0.40</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-06-09 21:09:53</td>\n",
       "      <td>-74.008247</td>\n",
       "      <td>40.711269</td>\n",
       "      <td>1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.69</td>\n",
       "      <td>1</td>\n",
       "      <td>2.02</td>\n",
       "      <td>(-74.0082473755, 40.7112693787)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "      <td>0.34</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-06-09 21:09:55</td>\n",
       "      <td>-74.016251</td>\n",
       "      <td>40.711048</td>\n",
       "      <td>1</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.36</td>\n",
       "      <td>1</td>\n",
       "      <td>5.56</td>\n",
       "      <td>(-74.0162506104, 40.7110481262)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "      <td>0.21</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-06-09 21:06:00</td>\n",
       "      <td>-74.003128</td>\n",
       "      <td>40.706345</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.50</td>\n",
       "      <td>1</td>\n",
       "      <td>4.20</td>\n",
       "      <td>(-74.0031280518, 40.7063446045)</td>\n",
       "      <td>night</td>\n",
       "      <td>0</td>\n",
       "      <td>0.11</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-06-09 21:06:02</td>\n",
       "      <td>-73.987724</td>\n",
       "      <td>40.700386</td>\n",
       "      <td>1</td>\n",
       "      <td>11.5</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.80</td>\n",
       "      <td>1</td>\n",
       "      <td>2.30</td>\n",
       "      <td>(-73.9877243042, 40.7003860474)</td>\n",
       "      <td>night</td>\n",
       "      <td>2</td>\n",
       "      <td>0.09</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      pickup_datetime  pickup_longitude  pickup_latitude  payment_type  \\\n",
       "0 2016-06-09 21:06:38        -74.016121        40.710899             1   \n",
       "1 2016-06-09 21:09:53        -74.008247        40.711269             1   \n",
       "2 2016-06-09 21:09:55        -74.016251        40.711048             1   \n",
       "3 2016-06-09 21:06:00        -74.003128        40.706345             1   \n",
       "4 2016-06-09 21:06:02        -73.987724        40.700386             1   \n",
       "\n",
       "   fare_amount  tip_amount  tolls_amount  total_amount  passenger_count  \\\n",
       "0          5.0        2.00           0.0          8.30                1   \n",
       "1         10.0        3.39           0.0         14.69                1   \n",
       "2         19.0        4.06           0.0         24.36                1   \n",
       "3         20.0        2.20           0.0         23.50                1   \n",
       "4         11.5        1.00           0.0         13.80                1   \n",
       "\n",
       "   trip_distance                         location time_of_day  kmeans_cluster  \\\n",
       "0           0.70   (-74.0161209106, 40.710899353)       night               0   \n",
       "1           2.02  (-74.0082473755, 40.7112693787)       night               0   \n",
       "2           5.56  (-74.0162506104, 40.7110481262)       night               0   \n",
       "3           4.20  (-74.0031280518, 40.7063446045)       night               0   \n",
       "4           2.30  (-73.9877243042, 40.7003860474)       night               2   \n",
       "\n",
       "   tips_perc  tipClass  \n",
       "0       0.40         8  \n",
       "1       0.34         7  \n",
       "2       0.21         5  \n",
       "3       0.11         3  \n",
       "4       0.09         2  "
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickups_brooklyn.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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