Troubleshooting.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "417c6553",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime\n",
    "import time\n",
    "import requests\n",
    "import json\n",
    "from geopy import distance\n",
    "\n",
    "import plotly.express as px\n",
    "import plotly.io as pio\n",
    "pio.templates[pio.templates.default].layout.colorway = ['#7BA23F','#2D6D4B','#1B813E','#2D6D4B']\n",
    "\n",
    "#import functions\n",
    "%run functions.ipynb\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "662ea631",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>station_id</th>\n",
       "      <th>name</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7000</td>\n",
       "      <td>Fort York  Blvd / Capreol Ct</td>\n",
       "      <td>43.639832</td>\n",
       "      <td>-79.395954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7001</td>\n",
       "      <td>Wellesley Station Green P</td>\n",
       "      <td>43.664964</td>\n",
       "      <td>-79.383550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7002</td>\n",
       "      <td>St. George St / Bloor St W</td>\n",
       "      <td>43.667333</td>\n",
       "      <td>-79.399429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7003</td>\n",
       "      <td>Madison Ave / Bloor St W</td>\n",
       "      <td>43.667158</td>\n",
       "      <td>-79.402761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7004</td>\n",
       "      <td>University Ave / Elm St</td>\n",
       "      <td>43.656518</td>\n",
       "      <td>-79.389099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>613</th>\n",
       "      <td>7688</td>\n",
       "      <td>High Park Blvd / Parkside Dr</td>\n",
       "      <td>43.644887</td>\n",
       "      <td>-79.456412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>614</th>\n",
       "      <td>7689</td>\n",
       "      <td>20 Eaton</td>\n",
       "      <td>43.680012</td>\n",
       "      <td>-79.344033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615</th>\n",
       "      <td>7691</td>\n",
       "      <td>Christie St / Dupont St</td>\n",
       "      <td>43.671656</td>\n",
       "      <td>-79.420727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>616</th>\n",
       "      <td>7692</td>\n",
       "      <td>85 Lee Ave</td>\n",
       "      <td>43.670069</td>\n",
       "      <td>-79.297133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>617</th>\n",
       "      <td>7693</td>\n",
       "      <td>Mutual St / Shuter St (Arena Gardens) - SMART</td>\n",
       "      <td>43.655948</td>\n",
       "      <td>-79.375588</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>618 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    station_id                                           name        lat  \\\n",
       "0         7000                   Fort York  Blvd / Capreol Ct  43.639832   \n",
       "1         7001                      Wellesley Station Green P  43.664964   \n",
       "2         7002                     St. George St / Bloor St W  43.667333   \n",
       "3         7003                       Madison Ave / Bloor St W  43.667158   \n",
       "4         7004                        University Ave / Elm St  43.656518   \n",
       "..         ...                                            ...        ...   \n",
       "613       7688                   High Park Blvd / Parkside Dr  43.644887   \n",
       "614       7689                                       20 Eaton  43.680012   \n",
       "615       7691                        Christie St / Dupont St  43.671656   \n",
       "616       7692                                     85 Lee Ave  43.670069   \n",
       "617       7693  Mutual St / Shuter St (Arena Gardens) - SMART  43.655948   \n",
       "\n",
       "           lon  \n",
       "0   -79.395954  \n",
       "1   -79.383550  \n",
       "2   -79.399429  \n",
       "3   -79.402761  \n",
       "4   -79.389099  \n",
       "..         ...  \n",
       "613 -79.456412  \n",
       "614 -79.344033  \n",
       "615 -79.420727  \n",
       "616 -79.297133  \n",
       "617 -79.375588  \n",
       "\n",
       "[618 rows x 4 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = requests.get('https://tor.publicbikesystem.net/ube/gbfs/v1/en/station_information')\n",
    "\n",
    "bikeshare_stations = pd.DataFrame(json.loads(r.content)['data']['stations'])[['station_id', 'name', 'lat', 'lon']].astype({\n",
    "    'station_id': 'string',\n",
    "})\n",
    "\n",
    "bikeshare_stations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9dec3451",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Trip Id</th>\n",
       "      <th>Trip  Duration</th>\n",
       "      <th>Start Station Id</th>\n",
       "      <th>Start Time</th>\n",
       "      <th>Start Station Name</th>\n",
       "      <th>End Station Id</th>\n",
       "      <th>End Time</th>\n",
       "      <th>End Station Name</th>\n",
       "      <th>Bike Id</th>\n",
       "      <th>User Type</th>\n",
       "      <th>ï»¿Trip Id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10644218.0</td>\n",
       "      <td>1315</td>\n",
       "      <td>7021</td>\n",
       "      <td>01/01/2021 00:04</td>\n",
       "      <td>Bay St / Albert St</td>\n",
       "      <td>7164.0</td>\n",
       "      <td>01/01/2021 00:26</td>\n",
       "      <td>Gould St / Yonge St (Ryerson University)</td>\n",
       "      <td>6795.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10644220.0</td>\n",
       "      <td>396</td>\n",
       "      <td>7534</td>\n",
       "      <td>01/01/2021 00:07</td>\n",
       "      <td>Walnut Ave / Queen St W</td>\n",
       "      <td>7524.0</td>\n",
       "      <td>01/01/2021 00:13</td>\n",
       "      <td>Lisgar Park</td>\n",
       "      <td>4176.0</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10644221.0</td>\n",
       "      <td>86</td>\n",
       "      <td>7162</td>\n",
       "      <td>01/01/2021 00:10</td>\n",
       "      <td>Hayter St / Laplante Ave</td>\n",
       "      <td>7006.0</td>\n",
       "      <td>01/01/2021 00:11</td>\n",
       "      <td>Bay St / College St (East Side)</td>\n",
       "      <td>1814.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10644222.0</td>\n",
       "      <td>741</td>\n",
       "      <td>7003</td>\n",
       "      <td>01/01/2021 00:10</td>\n",
       "      <td>Madison Ave / Bloor St W</td>\n",
       "      <td>7272.0</td>\n",
       "      <td>01/01/2021 00:22</td>\n",
       "      <td>Yonge St / Dundonald St - SMART</td>\n",
       "      <td>198.0</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10644223.0</td>\n",
       "      <td>2073</td>\n",
       "      <td>7562</td>\n",
       "      <td>01/01/2021 00:11</td>\n",
       "      <td>Priscilla  Ave / Dundas St W - SMART</td>\n",
       "      <td>7562.0</td>\n",
       "      <td>01/01/2021 00:45</td>\n",
       "      <td>Priscilla  Ave / Dundas St W - SMART</td>\n",
       "      <td>6688.0</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>145844</th>\n",
       "      <td>NaN</td>\n",
       "      <td>372</td>\n",
       "      <td>7065</td>\n",
       "      <td>12/31/2021 23:56</td>\n",
       "      <td>Dundas St E / Parliament St</td>\n",
       "      <td>7472.0</td>\n",
       "      <td>01/01/2022 00:02</td>\n",
       "      <td>Dundas St E / Victoria St</td>\n",
       "      <td>3487.0</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14805103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145845</th>\n",
       "      <td>NaN</td>\n",
       "      <td>762</td>\n",
       "      <td>7233</td>\n",
       "      <td>12/31/2021 23:56</td>\n",
       "      <td>King / Cowan Ave - SMART</td>\n",
       "      <td>7569.0</td>\n",
       "      <td>01/01/2022 00:08</td>\n",
       "      <td>Toronto Inukshuk Park</td>\n",
       "      <td>4195.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14805104.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145846</th>\n",
       "      <td>NaN</td>\n",
       "      <td>355</td>\n",
       "      <td>7065</td>\n",
       "      <td>12/31/2021 23:56</td>\n",
       "      <td>Dundas St E / Parliament St</td>\n",
       "      <td>7472.0</td>\n",
       "      <td>01/01/2022 00:02</td>\n",
       "      <td>Dundas St E / Victoria St</td>\n",
       "      <td>4574.0</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14805105.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145847</th>\n",
       "      <td>NaN</td>\n",
       "      <td>770</td>\n",
       "      <td>7292</td>\n",
       "      <td>12/31/2021 23:56</td>\n",
       "      <td>Granby St / Church St - SMART</td>\n",
       "      <td>7076.0</td>\n",
       "      <td>01/01/2022 00:09</td>\n",
       "      <td>York St / Queens Quay W</td>\n",
       "      <td>5879.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14805107.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145848</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1307</td>\n",
       "      <td>7057</td>\n",
       "      <td>12/31/2021 23:59</td>\n",
       "      <td>Simcoe St / Wellington St South</td>\n",
       "      <td>7383.0</td>\n",
       "      <td>01/01/2022 00:21</td>\n",
       "      <td>12 Harbour St</td>\n",
       "      <td>1655.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14805108.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3575182 rows × 11 columns</p>\n",
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      ],
      "text/plain": [
       "           Trip Id  Trip  Duration  Start Station Id        Start Time  \\\n",
       "0       10644218.0            1315              7021  01/01/2021 00:04   \n",
       "1       10644220.0             396              7534  01/01/2021 00:07   \n",
       "2       10644221.0              86              7162  01/01/2021 00:10   \n",
       "3       10644222.0             741              7003  01/01/2021 00:10   \n",
       "4       10644223.0            2073              7562  01/01/2021 00:11   \n",
       "...            ...             ...               ...               ...   \n",
       "145844         NaN             372              7065  12/31/2021 23:56   \n",
       "145845         NaN             762              7233  12/31/2021 23:56   \n",
       "145846         NaN             355              7065  12/31/2021 23:56   \n",
       "145847         NaN             770              7292  12/31/2021 23:56   \n",
       "145848         NaN            1307              7057  12/31/2021 23:59   \n",
       "\n",
       "                          Start Station Name  End Station Id  \\\n",
       "0                         Bay St / Albert St          7164.0   \n",
       "1                    Walnut Ave / Queen St W          7524.0   \n",
       "2                   Hayter St / Laplante Ave          7006.0   \n",
       "3                   Madison Ave / Bloor St W          7272.0   \n",
       "4       Priscilla  Ave / Dundas St W - SMART          7562.0   \n",
       "...                                      ...             ...   \n",
       "145844           Dundas St E / Parliament St          7472.0   \n",
       "145845              King / Cowan Ave - SMART          7569.0   \n",
       "145846           Dundas St E / Parliament St          7472.0   \n",
       "145847         Granby St / Church St - SMART          7076.0   \n",
       "145848       Simcoe St / Wellington St South          7383.0   \n",
       "\n",
       "                End Time                          End Station Name  Bike Id  \\\n",
       "0       01/01/2021 00:26  Gould St / Yonge St (Ryerson University)   6795.0   \n",
       "1       01/01/2021 00:13                               Lisgar Park   4176.0   \n",
       "2       01/01/2021 00:11           Bay St / College St (East Side)   1814.0   \n",
       "3       01/01/2021 00:22           Yonge St / Dundonald St - SMART    198.0   \n",
       "4       01/01/2021 00:45      Priscilla  Ave / Dundas St W - SMART   6688.0   \n",
       "...                  ...                                       ...      ...   \n",
       "145844  01/01/2022 00:02                 Dundas St E / Victoria St   3487.0   \n",
       "145845  01/01/2022 00:08                     Toronto Inukshuk Park   4195.0   \n",
       "145846  01/01/2022 00:02                 Dundas St E / Victoria St   4574.0   \n",
       "145847  01/01/2022 00:09                   York St / Queens Quay W   5879.0   \n",
       "145848  01/01/2022 00:21                             12 Harbour St   1655.0   \n",
       "\n",
       "            User Type  ï»¿Trip Id  \n",
       "0       Annual Member         NaN  \n",
       "1       Casual Member         NaN  \n",
       "2       Annual Member         NaN  \n",
       "3       Casual Member         NaN  \n",
       "4       Casual Member         NaN  \n",
       "...               ...         ...  \n",
       "145844  Casual Member  14805103.0  \n",
       "145845  Annual Member  14805104.0  \n",
       "145846  Casual Member  14805105.0  \n",
       "145847  Annual Member  14805107.0  \n",
       "145848  Annual Member  14805108.0  \n",
       "\n",
       "[3575182 rows x 11 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for i in range(1, 13):\n",
    "    if i < 10:\n",
    "        df_new = pd.read_csv(\"bike-share-ridership-2021-0\"+ str(i) +\".csv\", encoding='cp1252')\n",
    "    else:\n",
    "        df_new = pd.read_csv(\"bike-share-ridership-2021-\"+ str(i) +\".csv\", encoding='cp1252')\n",
    "    \n",
    "    if i == 1:\n",
    "        df = df_new\n",
    "    else:\n",
    "        df = pd.concat([df, df_new])\n",
    "df        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbb4118a",
   "metadata": {},
   "source": [
    "## Problematic stations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93ea92ac",
   "metadata": {},
   "source": [
    "### Scenario 1: Trip duration is 0\n",
    "which means that the bike might not be released successfully?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ba9bfed5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_station = df[df[\"Trip  Duration\"] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "32373234",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_station['Start Time'] = pd.to_datetime(df_station['Start Time'])\n",
    "df_station['End Time'] = pd.to_datetime(df_station['End Time'])\n",
    "df_station['Start Station Id'] = df_station['Start Station Id'].astype(\"string\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1465fa29",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Trip Id</th>\n",
       "      <th>Trip  Duration</th>\n",
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       "      <th>Start Time</th>\n",
       "      <th>Start Station Name</th>\n",
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       "      <th>End Time</th>\n",
       "      <th>End Station Name</th>\n",
       "      <th>Bike Id</th>\n",
       "      <th>User Type</th>\n",
       "      <th>ï»¿Trip Id</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>333</th>\n",
       "      <td>10644662.0</td>\n",
       "      <td>0</td>\n",
       "      <td>7470</td>\n",
       "      <td>2021-01-01 09:41:00</td>\n",
       "      <td>York St / Lake Shore Blvd W</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-01 09:41:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5761.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1304</th>\n",
       "      <td>10645786.0</td>\n",
       "      <td>0</td>\n",
       "      <td>7063</td>\n",
       "      <td>2021-01-01 16:00:00</td>\n",
       "      <td>Queen's Park / Bloor St W</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-01 16:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6731.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1335</th>\n",
       "      <td>10645823.0</td>\n",
       "      <td>0</td>\n",
       "      <td>7419</td>\n",
       "      <td>2021-01-01 16:10:00</td>\n",
       "      <td>Bloor St W / Huron St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-01 16:10:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6835.0</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1444</th>\n",
       "      <td>10645959.0</td>\n",
       "      <td>0</td>\n",
       "      <td>7281</td>\n",
       "      <td>2021-01-01 16:38:00</td>\n",
       "      <td>Charles St W / Balmuto St - SMART</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-01-01 16:38:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5748.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1933</th>\n",
       "      <td>10646723.0</td>\n",
       "      <td>0</td>\n",
       "      <td>7072</td>\n",
       "      <td>2021-01-02 10:10:00</td>\n",
       "      <td>Fleet St / Bathurst St</td>\n",
       "      <td>7569.0</td>\n",
       "      <td>2021-01-02 10:10:00</td>\n",
       "      <td>Toronto Inukshuk Park</td>\n",
       "      <td>2306.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140796</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>7001</td>\n",
       "      <td>2021-12-30 21:42:00</td>\n",
       "      <td>Wellesley Station Green P</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2021-12-30 21:42:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6127.0</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14799363.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141818</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>7158</td>\n",
       "      <td>2021-12-31 11:20:00</td>\n",
       "      <td>King St W / Stafford St</td>\n",
       "      <td>7524.0</td>\n",
       "      <td>2021-12-31 11:20:00</td>\n",
       "      <td>Lisgar Park</td>\n",
       "      <td>1929.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14800700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142724</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>7172</td>\n",
       "      <td>2021-12-31 14:01:00</td>\n",
       "      <td>Strachan Ave / Princes' Blvd</td>\n",
       "      <td>7411.0</td>\n",
       "      <td>2021-12-31 14:01:00</td>\n",
       "      <td>Little Norway Park</td>\n",
       "      <td>2642.0</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14801688.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144952</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>7383</td>\n",
       "      <td>2021-12-31 19:13:00</td>\n",
       "      <td>12 Harbour St</td>\n",
       "      <td>7391.0</td>\n",
       "      <td>2021-12-31 19:13:00</td>\n",
       "      <td>Yonge St / Dundas Sq</td>\n",
       "      <td>2178.0</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14804066.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145765</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>7529</td>\n",
       "      <td>2021-12-31 23:36:00</td>\n",
       "      <td>Symington Ave / Davenport Rd</td>\n",
       "      <td>7519.0</td>\n",
       "      <td>2021-12-31 23:36:00</td>\n",
       "      <td>406 Oakwood Ave</td>\n",
       "      <td>6632.0</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14805010.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5576 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Trip Id  Trip  Duration Start Station Id          Start Time  \\\n",
       "333     10644662.0               0             7470 2021-01-01 09:41:00   \n",
       "1304    10645786.0               0             7063 2021-01-01 16:00:00   \n",
       "1335    10645823.0               0             7419 2021-01-01 16:10:00   \n",
       "1444    10645959.0               0             7281 2021-01-01 16:38:00   \n",
       "1933    10646723.0               0             7072 2021-01-02 10:10:00   \n",
       "...            ...             ...              ...                 ...   \n",
       "140796         NaN               0             7001 2021-12-30 21:42:00   \n",
       "141818         NaN               0             7158 2021-12-31 11:20:00   \n",
       "142724         NaN               0             7172 2021-12-31 14:01:00   \n",
       "144952         NaN               0             7383 2021-12-31 19:13:00   \n",
       "145765         NaN               0             7529 2021-12-31 23:36:00   \n",
       "\n",
       "                       Start Station Name  End Station Id            End Time  \\\n",
       "333           York St / Lake Shore Blvd W             NaN 2021-01-01 09:41:00   \n",
       "1304            Queen's Park / Bloor St W             NaN 2021-01-01 16:00:00   \n",
       "1335                Bloor St W / Huron St             NaN 2021-01-01 16:10:00   \n",
       "1444    Charles St W / Balmuto St - SMART             NaN 2021-01-01 16:38:00   \n",
       "1933               Fleet St / Bathurst St          7569.0 2021-01-02 10:10:00   \n",
       "...                                   ...             ...                 ...   \n",
       "140796          Wellesley Station Green P             NaN 2021-12-30 21:42:00   \n",
       "141818            King St W / Stafford St          7524.0 2021-12-31 11:20:00   \n",
       "142724       Strachan Ave / Princes' Blvd          7411.0 2021-12-31 14:01:00   \n",
       "144952                      12 Harbour St          7391.0 2021-12-31 19:13:00   \n",
       "145765       Symington Ave / Davenport Rd          7519.0 2021-12-31 23:36:00   \n",
       "\n",
       "             End Station Name  Bike Id      User Type  ï»¿Trip Id  \n",
       "333                       NaN   5761.0  Annual Member         NaN  \n",
       "1304                      NaN   6731.0  Annual Member         NaN  \n",
       "1335                      NaN   6835.0  Casual Member         NaN  \n",
       "1444                      NaN   5748.0  Annual Member         NaN  \n",
       "1933    Toronto Inukshuk Park   2306.0  Annual Member         NaN  \n",
       "...                       ...      ...            ...         ...  \n",
       "140796                    NaN   6127.0  Casual Member  14799363.0  \n",
       "141818            Lisgar Park   1929.0  Annual Member  14800700.0  \n",
       "142724     Little Norway Park   2642.0  Casual Member  14801688.0  \n",
       "144952   Yonge St / Dundas Sq   2178.0  Casual Member  14804066.0  \n",
       "145765        406 Oakwood Ave   6632.0  Casual Member  14805010.0  \n",
       "\n",
       "[5576 rows x 11 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_station"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f45bf11b",
   "metadata": {},
   "outputs": [],
   "source": [
    "error_stations = df_station.groupby([\"Start Station Id\", \n",
    "                                     df_station['Start Time'].dt.month])[\"Trip  Duration\"].count().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c81d315b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Start Station Id</th>\n",
       "      <th>month</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7000</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7000</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7000</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7000</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7000</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7000</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7000</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7000</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7001</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7001</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>7001</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>7001</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>7001</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>7001</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>7002</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>7002</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>7002</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>7002</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>7002</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>7002</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Start Station Id  month  count\n",
       "0              7000      1      4\n",
       "1              7000      4      3\n",
       "2              7000      6      4\n",
       "3              7000      7      7\n",
       "4              7000      8      1\n",
       "5              7000      9      5\n",
       "6              7000     10      3\n",
       "7              7000     11      2\n",
       "8              7001      3      5\n",
       "9              7001      5      4\n",
       "10             7001      8      1\n",
       "11             7001     10      4\n",
       "12             7001     11      1\n",
       "13             7001     12      1\n",
       "14             7002      1      2\n",
       "15             7002      3      1\n",
       "16             7002      4      1\n",
       "17             7002      6      1\n",
       "18             7002      7      1\n",
       "19             7002      9      6"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_stations.columns = ['Start Station Id', 'month', 'count']\n",
    "error_stations.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b3f9f89c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FNE5s8Pr63Ue7NmOJqOGF196nipaY4O2tj+42rYkNY2Jnv8jhFdFj0YRIn37+zWpE9IOX/ozBRfl9Fryi35jAeuzuK7HvnhO28JwQkyK6K0q3ba/gFdUlZv7xATUtQrwejzVR4mzWzQ9j80h2b2OIV+wH7z9pi0ju3//5b9zxlxehlW7QU7+xah2bbxoT9i3/eR1OmrEpr1g0kWMcq9DR25c7HoI3tv5EKopISYk1MU8x31j1hW0RvCJtR1T96C6nm4KXv65JgARIgARIID4EpBO8QsCKJkSsiKSOGjZQLTEWq0Mr/v21J27tqhEryoYJYSrEmajkUF5Zp1YXEK98RSRMREhFPqnIsxQ1aGMb4TYXvD310Z3gFXaIzUtio9TFZx8HtzNDrYMrds2LmrM3zjpDtb+vEV7Rh6jle+KFt6j9ib7H7zAcNXUBtZyVsCMm9rZX8IpNVKdcfLv6ACA2be2/1y5qiSxxXLNom6c69DaGeLgQPI49/HcQ5bdErvOzr7yvVsN4/+93q6kkPbVYv8LXh+w/WS2DJk7UE74TQvbVx2/5zWa02EOHnuh3bNx4CF5RJk5skhPt4rOOxchhRfh6yU9qmo14+PnnM7epbye2RfCKh7L9j79CfTi75JzjkOlxwWKxqP6m4I3PLzn2QgIkQAIkQALSCd53PvoK733ytSp6tm4iCnbh6UdvIaCK15epZb4+XPCterkoLyVKjolc2UvnPNRV+1R8JvI0hfAV4nThO4/Al+lW7+mpj6//uxLnXvXnro1oMXvEBrXr73xKFSmxJiogXHbO8bD/+qo7JoxFhQHx2j3WYjm8el/Fi9qtd817SU0P2LyJucy+5BQ1wisEqsifffvZuVuUYRPX92RHrK/Gplbcev9zXfzEv4vKEPfePBM77zC8a8jexhCRT1E+bXMe4sFElO7avGZud1+3WL9CMMZqFIvrRIrJ3OvO7/bwkb88/QYef2F+t6fx9fSVbm1rxx5HzPhNWbNYrvDWUe7YZrbN6+uKvkUUf/btj3XVf47Zevvs87rWZU9jiWvFZkCRMvLhy/d0mSoi7cJ/MR/H8ol7Yh5LaejuNEL+SiMBEiABEiABEvgtAekEb8xEkSZQV9+E+kATsrMy1QMUeis7JYRLU3MrCnL96kEFoonSXhvLq1UhVlSQ2yVwe1oI3fXR07WibxENFbm2QtxtntOZiIUmximvqoPTYUdeblbcDxwQUUnBKsfvQ35u1jZPQUSLRQRU/CeivaKf3vzV3QDiYUBEsAsLctQ+umtiXYgyYuI0tq/entf1gLHNBvfxBvHgJGwdWJinRmXj0cT8BUettR6PsdgHCZAACZAACaQTAWkFbzo5gXPVTyCWX3zRGceoKQBsJEACJEACJEACJKBFgIJXixA/l4pAbCPfv/9xnxoJZiMBEiABEiABEiABLQIUvFqE+Lk0BDo7Q3j334uQ6XXj9/vuLo1dNIQESIAESIAESEBuAhS8cvuH1pEACZAACZAACZAACfSRAAVvHwHydhIgARIgARIgARIgAbkJUPDK7R9aRwIkQAIkQAIkQAIk0EcCFLx9BMjbSYAESIAESIAESIAE5CZAwSu3f2gdCZAACZAACZAACZBAHwlQ8PYRIG8nARIgARIgARIgARKQmwAFr9z+oXUkQAIkQAIkQAIkQAJ9JEDB20eAvJ0ESIAESIAESIAESEBuAhS8cvuH1pEACZAACZAACZAACfSRAAVvHwHydhIgARIgARIgARIgAbkJUPDK7R9aRwIkQAIkQAIkQAIk0EcCFLx9BMjbSYAESIAESIAESIAE5CZAwSu3f2gdCZAACZAACZAACZBAHwlQ8PYRIG8nARIgARIgARIgARKQmwAFr9z+oXUkQAIkQAIkQAIkQAJ9JEDB20eAvJ0ESIAESIAESIAESEBuAhS8cvuH1pEACZAACZAACZAACfSRAAVvHwHydhIgARIgARIgARIgAbkJUPDK7R9aRwIkQAIkQAIkQAIk0EcCFLx9BMjbSYAESIAESIAESIAE5CZAwSu3f2gdCZAACZAACZAACZBAHwlQ8PYRIG8nARIgARIgARIgARKQmwAFr9z+oXUkQAIkQAIkQAIkQAJ9JEDB20eAvJ0ESIAESIAESIAESEBuAhS8cvuH1pEACZAACZAACZAACfSRAAVvHwHydhIgARIgARIgARIgAbkJUPDK7R9aRwIkQAIkQAIkQAIk0EcCFLx9BMjbSYAESIAESIAESIAE5CZAwSu3f2gdCZAACZAACZAACZBAHwlQ8PYRIG8nARIgARIgARIgARKQmwAFr9z+oXUkQAIkQAIkQAIkQAJ9JEDB20eAvJ0ESIAESIAESIAESEBuAhS8cvuH1pEACZAACZAACZAACfSRAAVvHwHydhIgARIgARIgARIgAbkJUPDK7R9aRwIkQAIkQAIkQAIk0EcCFLx9BMjbSYAESIAESIAESIAE5CZAwSu3f2gdCZAACZAACZAACZBAHwlQ8PYRIG8nARIgARIgARIgARKQmwAFr9z+oXUkQAIkQAIkQAIkQAJ9JEDB20eAvJ0ESIAESIAESIAESEBuAhS8cvuH1pEACZAACZAACZAACfSRAAVvHwHydhIgARIgARIgARIgAbkJUPDK7R9aRwIkQAIkQAIkQAIk0EcCFLx9BMjbSYAESIAESIAESIAE5CZAwSu3f2gdCZAACZAACZAACZBAHwlQ8PYRIG8nARIgARIgARIgARKQm0DKC97yuqDcHqB1JEACJEACJEACJEACCSVAwZtQvOycBEiABEiABEiABEgg2QQoeJPtAY5PAiRAAiRAAiRAAiSQUAIUvAnFy85JgARIgARIgARIgASSTYCCN9ke4PgkQAIkQAIkQAIkQAIJJdDvgjccicBqsXQ7qdr6RrhdTjgz7L/5PBpVUF3XgNxsX7f3N7e0QfTt93m3uJeb1hK6ftg5CZAACZAACZAACUhPoF8F74ayahx+6rX4+JV7UTQgtwvOhrIqzJh9P0pKq9R/O/6I/XDTlWfCZt0kjD9ftAxX/+mvaAu2qz/ffNVZOHHaVPX/xb/Nvv1xfPrVUvXnCeNGYt7tl6nCWDQKXunXIA0kARIgARIgARIggYQS6DfBe/LM2/DDymJ1MlsL3guuuRcetxNzrzsfldV1OPHCW3HTrDMw7ZApCLZ3Yr/jLsMl5xyHU4//PRYs/B6X3zgPH758DwYV5uGpl/6F1+YvwAvz5qiR4YuuewDDhxTitmvPoeBN6NJh5yRAAiRAAiRAAiRgDAL9JnirawOqmBXCd3PB29jciinTLsaLD8/BruNHq9TmPvQCKqvrMW/u5Wp0d+YfH8DSj56E3W5TPz/itNmq+D31+INxwvk349Cpk3H+qUepn324YDGuvOVRrPjsWZhMJkZ4jbEOaSUJkAAJkAAJkAAJJIxAvwleMYOqmgYcOH3WFoK3eH0Zjj5rDha88SDycrLUib7w+kd4+8Ov8PqTt+LV+Qvw3D/ex3sv3t0F4dI5D2HY4EJcNeNETD58Bm6ffa4qekVbuXo9pl9wCxbOfwQ+rxs1jR0Jg5fOHZvSefKcOwmQAAmQAAkYhIBiEDsTbWbSBe/SFWtw2iVzuwSqmLAQuY/97W18+toDasrCB58tVsVvrIl8Xo/LiZuvOhPjDzgbj945C/vvvYv6cUxA//sf96GwIAehcDTRDNOyf36B0tLtnDQJkAAJkIDBCDBAtclhSRe8MYH6+T8f6tpotq0R3rnXnYdD9p/UbYSXm9YM9s2kuSRAAiRAAiRAAiQQZwJJF7zd5fDe9sDfUF3bsEUO7/cfPwWbzapO/9CTr8EZ0w/pyuE97IA9cN4pR6qfMYc3ziuE3ZEACZAACZAACZCAwQn0m+ANhSPqprXDTrlWzccVZcliZcfOu/oeZHrcEJHaras0tAU7MPnwCzH74pNxSjdVGp78+7t4/d3P1SoNLqdDLW/GKg0GX5U0nwRIgARIgARIgATiSKDfBK/YXBaroyvsz87y4su35qlTWbehQhWqpRU16s/HHvY73HLVWV0RXVFjV2xUi7UbrjgdJx97kPpja1u7WqP3i6+XqT+PHztcjQzn527aAMeUhjiuFnZFAiRAAiRAAiRAAgYk0G+CVw8bUcVB1ON1uzJ+c3kkEkVlTT3yc7K6hPDmF4nUiFAo3JUHHPuMglcPeV5DAiRAAiRAAiRAAqlLQCrBmwjMFLyJoMo+SYAESIAESIAESMA4BCh4jeMrWkoCJEACcSRggslkjAKDiiIKKxnD1jg6iF2RAAnEkQAFbxxhsisSIAESMAIBRQGqmlaiubVKenPNZhuyPUPh9wyW3lYaSAIkIC8BCl55fUPLSIAESCBhBCoDK9He2Zqw/uPVsclshicjDzmeIfHqkv2QAAmkIQEK3jR0OqdMAiRAAhvqlqCydoX0IKwWB4YP2At+z1DpbaWBJEAC8hKg4JXXN7SMBEiABBJGoLZpLcJKR8L6j1fHZphht3mQ5RoYry7ZDwmQQBoSoOBNQ6dzyiRAAulNQOTw1jb/glDUCILXBIfFA7+XKQ3pvWo5exLoGwEK3r7x490kQAIkYEgC66q+wsKfnpPedqfdh/3HX4KczGHS20oDSYAE5CVAwSuvb2gZCZAACSSEwP8ivO0J6T+enZogIryZyPaySkM8ubIvEkg3AhS86eZxzpcESIAEAGyo+S9Wlr0vPQuHxY1dR0xHlnuQ9LbSQBIgAXkJUPDK6xtaRgIkQAIJI1BW9wM21n2XsP7j1bHN6sTI/H2QxbJk8ULKfkggLQlQ8Kal2zlpEiCBdCewquxTfLLsHukxuBx+TJs8FzmZw6W3lQaSAAnIS4CCV17f0DISIAESSBgBCt6EoWXHJEACEhKg4JXQKTSJBEiABBJNgII30YTZPwmQgEwEKHhl8gZtIQESIIF+IkDB20+gOQwJkIAUBCh4pXADjSABEiCB/iOgQMH66m/ww7q3+m/Q7RzJbvNij9GnIsfLOrzbiZC3kQAJAKDg5TIgARIggTQjIOrw1jWvRbCzSfqZm80WuDOyebSw9J6igSQgNwEKXrn9Q+tIgARIIP4EFKC+bQMiYQMcPGGywGpxI8s9IP4c2CMJkEDaEKDgTRtXc6IkQAIk8CsBBWho3YBItFN6JCazBXarC96MAultpYEkQALyEqDgldc3tIwESIAEEkZgXdU3WL5e/hxeh82LyWNPQ7Z7SMJYsGMSIIHUJ0DBm/o+5gxJgARI4DcEiiu/wternpaejNPuw9Sdr0C2Z6j0ttJAEiABeQlQ8MrrG1pGAiRAAgkjUFr/A5qD5QnrP14dm8025HlGIdtLwRsvpuyHBNKRAAVvOnqdcyYBEkh7Ahtrl6C+pUR6DhazDQP845HLsmTS+4oGkoDMBCh4ZfYObSMBEiCBBBEorvgPvlr1RIJ6j1+3TpsPB+1yFbI9rMMbP6rsiQTSjwAFb/r5nDMmARJIdwIKsLF+KWoCq6UnYbHYMTh3d2R7uGlNemfRQBKQmAAFr8TOoWkkQAIkkAgCShRobq8ATKZEdB/XPk0mE6IRBT7W4Y0rV3ZGAulGgII33TzO+ZIACZAAgFVln+KTZfdIz8Ll8GPa5LnIyRwuva00kARIQF4CFLzy+oaWkQAJkEDCCFDwJgwtOyYBEpCQAAWvhE6hSSRAAiSQaAIUvIkmzP5JgARkIkDBK5M3aAsJkAAJ9BMBCt5+As1hSIAEpCBAwSuFG2gECZAACfQvgXVVX2PZujf6d9DtGM1h92LP0Wfy4IntYMdbSIAE/keAgpergQRIgATSjEBUVGnoqIDFbJF+5qJKQySqIDMjX3pbaSAJkIC8BCh45fUNLSMBEiCBhBAQgrehpRjtkbaE9B/PToXgdVj9yPEMjGe37IsESCDNCFDwppnDOV0SIAESEARqW0rQ0lYlPQyzxQafYwB8nkLpbaWBJEAC8hKg4JXXN23n0XEAACAASURBVLSMBEiABBJCQER461p+QSTakZD+49upCRl2H7JcjPDGlyt7I4H0IkDBm17+5mxJgARIQCVQWv8DWoOV0tMwm23I8YzgpjXpPUUDSUBuAhS8cvuH1pEACZBAQgisrVqEFSXzE9J3PDt12LzYY9TJ8HuHxbNb9kUCJJBmBCh408zhnC4JkAAJRESVhmA5zGazAWCYVBsznQUGsJUmkgAJyEqAgldWz9AuEiABEkgQAZHD29pRA4sBBK9algxReOy5CaLBbkmABNKBAAVvOniZcyQBEiCBzQgoUaAlWIGoSZGeiyp4w1H4vdy0Jr2zaCAJSEyAgldi59A0EiABEkgUAR4tnCiy7JcESEBGAhS8MnqFNpEACZBAgglQ8CYYMLsnARKQigAFr1TuoDEkQAIk0D8EKHj7hzNHIQESkIMABa8cfqAVJEACJNCvBCh4+xU3ByMBEkgyAQreJDuAw5MACZBAfxMQm9ZK65eirrm4v4fe5vEsJjuKcnZBjnfoNt/LG0iABEggRoCCl2uBBEiABNKMgKIAlYEf0dC8QfqZi5PWBvjHIss9WHpbaSAJkIC8BCh45fUNLSMBEiCBhBAQEd7m9nJEE9J7/Ds1mczwOQfEv2P2SAIkkDYEKHjTxtWcKAmQAAn8j8CGuiWorF0hPRKrxYHhA/aC38OUBumdRQNJQGICFLwSO4emkQAJkECiCNQ0rkVYaU9U93Hr1wwz7DYv/G4ePBE3qOyIBNKQAAVvGjqdUyYBEkhvAuJ8tcr6H9HSUS89CLPZCr+rCNnctCa9r2ggCchMgIJXZu/QNhIgARJIAAGxaa22aTUag7UJ6D2+XZrNFvhdA+H3DIpvx+yNBEggrQhQ8KaVuzlZEiABEthEoKJ+BdZXLZYeh83qwuiBv4PPRcErvbNoIAlITICCV2Ln0DQSIAESSAQBEeEta1iKqsCaRHQf1z6tZjsG5+6KbG5aiytXdkYC6UaAgjfdPM75kgAJkACAmsbVaAu1SM/CbDbDk5EDv4t1eKV3Fg0kAYkJUPBK7ByaRgIkQAKJIBCNAo3BcpjNieg9vn2aYAJMFmRm5Me3Y/ZGAiSQVgQoeNPK3ZwsCZAACQBQgJqmtYiaOqTHYRJlySxeZLmLpLeVBpIACchLgIJXXt/QMhIgARJICAGRwxsIliJqgLPWxClrlgjgY5WGhKwFdkoC6UKAgjddPM15kgAJkMCvBMTRwtVNP6PZAGXJTCYrsj1F8HuG0H8kQAIksN0EpBK8tfWN8LidyHDYfzOhaFRBdV0DcrN9sFosv/m8uaUN4UgEfp93i8/K64LbDYc3kgAJkEAqElDr8DavRltHg/TTM4v8XecA+NwsSya9s2ggCUhMQArB+9W3K/Dws2+itLwa7R0h7D1pHO647nxV/Ir2+aJluPpPf0VbcNMxmDdfdRZOnDZV/X/xb7NvfxyffrVU/XnCuJGYd/tlqjAWjYJX4tVH00iABJJCQER4K5t/Qlu7/AdPWMw2eBwDkZvJKg1JWSwclARShEDSBa+Iyu5y0Lm45JzjMOP0oxFs78AJ59+ME47aH+ecdASC7Z3Y77jL1M9PPf73WLDwe1x+4zx8+PI9GFSYh6de+hdem78AL8ybA2eGHRdd9wCGDynEbdeeQ8GbIouU0yABEog/gVVln+KTZffEv+M49+hy+DFt8lzkZA6Pc8/sjgRIIJ0IJF3wtgU7MPnwC3H77HNx3OH7quyvv/NJWCwWVbSK6O7MPz6ApR89Cbvdpn5+xGmzVfF76vEHq+L40KmTcf6pR6mffbhgMa685VGs+OxZmEwmRnjTaTVzriRAAroJFFcuxLe/vKj7+mRd6LRlYt9xFyHbOzRZJnBcEiCBFCCQdMErGN7/+Kt4+uX3cPZJh2PH0UNx17y/44l7rlb//9X5C/DcP97Hey/e3YX70jkPYdjgQlw140RMPnyGKpaF6BVt5er1mH7BLVg4/xH4vG4K3hRYpJwCCZBAnAkoQEVgJTrCTXHuOP7diSoN3owByOamtfjDZY8kkEYEpBC8Xy9ZiWv+9Fc1/1akLOwzeTzuuekiVbCKlIUPPluM15+8tcstIp/X43Li5qvOxPgDzsajd87C/nvvon5evL4MR581B//+x30oLMhBXZP8dSbTaL1xqiRAAjIQUIC1VUuwpvILGazp1QaHxYWdhhyKPB8jvNI7iwaSgMQEki54G5tbMWXaxXjmgdnYc9cdsaGsCpdc/xBGDR+E+2+ZqSvCO/e683DI/pO6jfB2hKIS46dpJEACJND/BMRJa79UrUI4bIQqNia47V4MLRjR/6A4IgmQQMoQSLrg/fKb5Zgx+z589fbDyPJ5VLB/e+1DzHvmTXz7/mNdObzff/wUbDar+vmhJ1+DM6Yf0pXDe9gBe+C8U45UP2MOb8qsTU6EBEggQQREWbL61rUIR0IJGiF+3Yq9GHaTC1leliWLH1X2RALpRyDpgresshaHnHQ1Zp55DC44bRqCHZ2Yed0D8Hpc+OtdsxDb1Db74pNxSjdVGp78+7t4/d3P1SoNLqcDM2bfzyoN6beOOWMSIIFtIBBVgIbmEoQNcLSwWRwtbHXB5+TRwtvgYl5KAiSwFYGkC95YVPaF1z/GquKNqnkiPeHSc4/HgLxs9WdRY1dsVIu1G644HScfe5D6Y2tbu1qj94uvl6k/jx87HPPmXo783Cz1Z9bh5ZonARIgga0IqBHeEoQim2qby9zEwRM2iwdZ7gEym0nbSIAEJCcgheCNMaqpCyDT64bj1/Jjm7OLRKKorKlHfk5WV2rD5p+LXOBQKNx14ETsMwpeyVcgzSMBEkgKgXUVi7B0/WtJGXtbBs2webH3DufA7+GmtW3hxmtJgAS2JCCV4E2Ecyh4E0GVfZIACRidwC+V/8HiVc9LPw2n3Yf9d74U2RS80vuKBpKAzAQoeGX2Dm0jARIggQQQUKCgrO4HNLaVJ6D3+HZpNlmR5xuDXB48EV+w7I0E0owABW+aOZzTJQESIAElClQ3/YzW9jrpYZhMVmR5iuB3D5beVhpIAiQgLwEKXnl9Q8tIgARIIGEEapqLEQq1Jaz/+HVsgdvug88zMH5dsicSIIG0I0DBm3Yu54RJgATSnYAoS1bfXIKIAcqSmWCGw+qEz0nBm+7rlvMngb4QoODtCz3eSwIkQAIGJVARWIlQSP6T1sTBEy5HPnJ48IRBVxrNJgE5CFDwyuEHWkECJEAC/UZAbFqrCqxCXfPafhtzeweyWhwY4N+BEd7tBcj7SIAEVAIUvFwIJEACJJBuBBRARHg7Ik3Sz9wECzKdA7hpTXpP0UASkJsABa/c/qF1JEACJBB/AgpQ27IWoYj8KQ3iaGGnPROZLubwxn8hsEcSSB8CFLzp42vOlARIgAQ2EVCAupb1CEc7pCciBK/N5kSWa5D0ttJAEiABeQlQ8MrrG1pGAiRAAgkhoChAU7AMUaF8JW8mmADFhCx3keSW0jwSIAGZCVDwyuwd2kYCJEACCSJQXLUI367+W4J6j1+3Ip1hv/Ez4XcPjV+n7IkESCDtCFDwpp3LOWESIAESAMrqf0BbR4P0KMwmC7LcQ5DjHSK9rTSQBEhAXgIUvPL6hpaRAAmQQGII/LpprTPUkpj+49ir2WyFy+5Hpqswjr2yKxIggXQjQMGbbh7nfEmABNKeQDQqNq0Vo9MARwubTBY4HT743azSkPYLlwBIoA8EKHj7AI+3kgAJkIARCQjBW938M9o7GqU3XwjeTFcB6/BK7ykaSAJyE6Dglds/tI4ESIAE4k5AnLRW2bACVQ2r4t53vDu0WjIwsGAi/BksSxZvtuyPBNKJAAVvOnmbcyUBEiABQUAB6tvWoSNkgIMnTBbYbR74efAE1y4JkEAfCFDw9gEebyUBEiABoxJYV/U1lq17Q3rzHXYv9hx9JrK9LEsmvbNoIAlITICCV2Ln0DQSIAESSAQBkdJQ1bQKNQFjpDQUZu3MgycSsRDYJwmkEQEK3jRyNqdKAiRAApsyGhSU1y9HWe330gOxWZ0Ylrcn/KzDK72vaCAJyEyAgldm79A2EiABEkgQgVVln+KTZfckqPf4dety+DFt8lzkZA6PX6fsiQRIIO0IUPCmncs5YRIgARIAKHi5CkiABNKJAAVvOnmbcyUBEiCBTUUaUFm/Eq2d9dLzMJnM8HsGI9s9WHpbaSAJkIC8BCh45fUNLSMBEiCBhBBQRFmyYAkioY6E9B/PToXgtdmcyHLypLV4cmVfJJBuBCh4083jnC8JkEDaExCCt7pxNdo666RnYTFbkeksRJabB09I7ywaSAISE6Dgldg5NI0ESIAEEkWAObyJIst+SYAEZCRAwSujV2gTCZAACSSYAAVvggGzexIgAakIUPBK5Q4aQwIkQAL9Q4CCt384cxQSIAE5CFDwyuEHWkECJEAC/UqAgrdfcXMwEiCBJBOg4E2yAzg8CZAACSSDAAVvMqhzTBIggWQRoOBNFnmOSwIkQAJJJEDBm0T4HJoESKDfCVDw9jtyDkgCJEACySdAwZt8H9ACEiCB/iNAwdt/rDkSCZAACUhBQNThLWtYgqrAL1LY05sRVrMdg3N3RbZnqPS20kASIAF5CVDwyusbWkYCJEACCSOwrmoRvv3lpYT1H6+OM2xe7DvuQvj1Cl6TKV5DJ74f8eTBRgIk0C8EKHj7BTMHIQESIAG5CKRiSoOiKCip+Q6hcKtcsLuxxm5zY0juJJiMJNClp0oDSaBnAhS8XB0kQAIkkGYENh0tvAod4RbpZ26GGU5XLnJcgzVtVaJRNAYrAEQ1r032BYrZAp+jCGZzsi3h+CSQHgQoeNPDz5wlCZAACXQREC/S65vXIRTukJ6K2WSG3eZBlrtI29ZoFE3tlYgq8gtes9mKzIwBgIEyMLQdwCtIQF4CFLzy+oaWkQAJkEBiCChATeMqtHQ0Jqb/OPYqBG+muwB+t3aEVwjd+pb16DCAkLfb7MhxD4eYHxsJkEDiCVDwJp4xRyABEiAB6QiU1S3H+qqvpbNra4McVidGDtoffh0pDeLeRaueQnVgtfTzyveNxV5jzwVTeKV3FQ1MEQIUvCniSE6DBEiABPQSiESBhta1CEc69d6StOtEBNRmc8HvGqRpQxRRVAfWIBwNal6b7AuspgwU+MfCxJyGZLuC46cJAQreNHE0p0kCJEACMQLRKNDSKXJd5U8g3VTFQIEvo0DTgdGogurGleiIyJ+bLOoLF/p3gpkhXk2/8gISiAcBCt54UGQfJEACJGAwAtVNv6C+ab30VlvMduTnjFIrGmg2RUEgWAkFYc1Lk3+BBX6Xjjkl31BaQAIpQYCCNyXcyEmQAAmQwLYRqGhYiWCnETatWeB1FSBH58ET7347BxtqlmwbjCRcPSRvEo6cdBtzeJPAnkOmJwEK3vT0O2dNAiSQxgREWbLKhpVo7WiQnoLFZIHPVYRs7xBdtlLw6sLEi0gg7QhQ8KadyzlhEiCBdCcgcngDbesRioQMgcJhcSHLM1CXrR9/fxfK65brujaZFw3M3QUHTbiWEd5kOoFjpxUBCt60cjcnSwIkQAKAqNLQHqpCVIR6pW9mQInC69TetKZEI6hpLkZEkV/IW0w25PvGSE+fBpJAqhCg4E0VT3IeJEACJLANBKpa1iDQtG4b7kjOpVaLAzneMchyFWoaoChR1LWUIBxt07w22RdYTBnIyRwBM8uSJdsVHD9NCFDwpomjOU0SIAES6CKgALXN69ARapIeislkhSsjW5fgFZNZsu5V1AaKpZ9XtncEdh/5B6Y0SO8pGpgqBCh4U8WTnAcJkAAJbAOBddXfYGnxa9twR3IuzbB5sdeOZyHbPVTbgEgUTaFaKIoxypKptYXlL4WszZ1XkIABCFDwGsBJNJEESIAE4k1gVdmn+GTZPfHuNu79uRx+TJs8FzmZw3X1XVq3zBgpDWYXBvknwGTWVrwdoWa0dtTrmn+yL7JaXMh05iXbDI5PAr8hQMHLRUECJEACaUZAbFarDvyEts6A9DM3m0Qd3gHI8egoS6YoKK3/AZ1h+XN47VYnBuVM1MW/rrkEX/z4iCFSUCaPPh0jBkzhkcm6PMuL+pMABW9/0uZYJEACJCABAVGWrLldnEhmgKaYYAaQ6dZRpUE9aW0DOjrlP1rYbrMj2z1MlwNqm9Zh/uI5CHbKXzf5oInXYkzRVApeXZ7lRf1JgIK3P2lzLBIgARKQgICiAPVta9HZKX8k1AQLXPZMZLq16/CKsmQtoXqIag3SN5MZmQ59r/7rW0rwzeoX0Rlqln5aE4Ydh+EFe0pvJw1MPwIUvOnnc86YBEggzQmogre5BO3hFulJWEwmiDzeTJ1lyVo66hCOdso/L1iR6cqHnl1rgeYytHTWQVEi0s/LYctEXuZIVp+Q3lPpZyAFb/r5nDMmARJIdwIKUBZYjsaWUulJWMx25Pl2QLaOk9ZEhLexvcogVRpM8LsH6+Lf0FqKto4GRA0QubZZM1CQOZaCV5dneVF/EqDg7U/aHIsESIAEJCAgNq01t5bBbLVIYI2WCSY1COp16MjhBVDR8CM6Ohu1Ok365w67D4X+nXRVJatv2oBFq55GR1j+lIaJI/+A4fl7MIc36SuMBmxNgIKXa4IESIAE0pBASpYli0ZR1bQGUZP8r/5NURMGZO2oJ6MBgZYSFFctRDgi/2a8gTm7/Fp9QrvcWhp+7TjlJBKg4E0ifA5NAiRAAskgIKo0VDeKsmTy7/o3mSzweYuQ7dR+/a+oVRrKAQPkupoUK3zuIl2v/htbSxEMtyAqkq8lb+Io6HzPCF1CXvKp0LwUI6BL8AbbO2G1WmDrh9dfrW3taGppQ0GuH+bNCnJHowqq6xqQm+2D1fLb13DNLW0IRyLw+7xbuKi8LphiLuN0SIAESKCPBBSgIvAzOiNGqMNrhttRiGyPtuCNIory2h8QQXsfASX+dqs5A4XZE2BWi6713gJtFQiFhOCVv/qEzeaA3zVMl5DXmjc/J4F4EuhR8Arx+MSL7+LlN/+N+kAz7rr+Akw7ZApmzL4PdrsNf7ntsnjagc8XLcPdj7yEktIqtd83n7kdY0YMUv9ffHb1n/6KtuCmX2I3X3UWTpw2Vf1/8W+zb38cn361VP15wriRmHf7ZaowFo2CN65uYmckkHYEwqEgOhRjPDhbYEGGfdPvvl6bAgSCpQhHQlpXJv9zkxkOkwNe9wBNW8SmtebOWkSNEOGFGT6n9pzEpBtbyvBz+acIheVfh0Py98bg3PHM4dVcrbygvwn0KHgXLPweF1//II4/Yj8sXvoTLjn7OFXwfvT5d5h188NYOP8R+LzuuNgbG+v8U4/CMYfuo0ZpHQ47nBl2iOjyfsddhkvOOQ6nHv97iGsvv3EePnz5HgwqzMNTL/0Lr81fgBfmzVGvv+i6BzB8SCFuu/YcCt64eIedkEB6Ewi0VMFsFVE4+V8nK1EFXleBZsxQvBmva16LYGeT9M41my1wZ2Qjy6VdhxeRCNoiTYgoYennZVI2zUtPpmtd0waU1v0Xkaj8Dyh5vlEYlLMbI7zSr8D0M7BHwSsiuYOL8jHn8tNxwTX3YtrBU1TBW1lTj4OmX4nXn7wVO44e2mdiIufq+HNvxNhRQ9Qo8tZNRHdn/vEBLP3oSTWyLNoRp81Wxe+pxx+ME86/GYdOnQwhlkX7cMFiXHnLo1jx2bMwmUyM8PbZQ+yABNKbQKBtI6oaVhuitqvfMxBF/gnaDlMPntiASFj+V/8ih9dqcSNLR4RXpDTUt5QiGpE/Emoy25HrHaYrEsqyZNpLmleQgBaBHgXvgdNn4aIzj8H0o6Z2K3jfef4OjBxapNW/5uciXWLfYy/FgfvsilA4jNa2Duy9+zicc/IRyHDY8er8BXjuH+/jvRfv7urr0jkPYdjgQlw140RMPnwGbp99rip6RVu5ej2mX3BLVwSaKQ2aLuAFJEACvRAItJWhPdRsiNO7RF5orneEZnRNbFprCVbCYrUawPcmRBGB1yEOadBulY0rDZGqYTXbUJA1TleEl2XJtP3OK0hAi0CPgveKmx5GoKkFz9w/W83bjUV4//L0G3j8hflY8tGTcPwacdUapLfPf1pTokZphbCeMnk8mppbcfcjL+PIg/bCLVefpaYsfPDZYjWiHGsin9fjcuLmq87E+APOxqN3zsL+e++ifly8vgxHnzUH//7HfSgsyEFDi/wn7vSFH+8lARJILIGa+lI0tFcaIi9U5O8OyR0Ls6n3F+Vit39JzY9oaNqQWHhx6F0cPFGYMxb5Ph2b1qJRrK1cgg4DRK7tNgdGFuwOs1l701pFfTHeXHQ9ggaoqnHIrtdi/NCD1DesbCQgE4EeBe+q4o1qqsHQQQUQFRAm7jQK4UgUX3y9DFecf0JXCkFfJxMTvF++NQ/ZWZsqLPzzvS9w57yXsPi9v+K1dz/XjPDOve48HLL/JPXerSO8wQ756zH2lSHvJwESSByBstp1aO6QP9dVELCabBhVNE4Thojwrq9ehY6w/HVdhXh3O3wYlDtEc16hqILl675AKNKqeW2yL7BZ3Nh52H6wWbSF4cbaYnzz8yvoNECqxrghh2DCsH01H7qSzZ/jpx+BXsuSCdErIrqLl/6sVkMQVRNE3qzYyLZ5ybC+YGtsbsWUaRfj5UdvVCssiPbqO5/h1vufx/JPn8WX3/yg5vB+//FTsNk2vX479ORrcMb0Q7pyeA87YA+cd8qR6mfM4e2LN3gvCZDA1gTqWzegtqkYigE2DLkzBmBQ9gTNGqiiulV1089oba+X3uFmsxU+TxH8rk1Ve3ptSlQ9oKEz0qJ1ZdI/d1i9GF4wRVcOb6C9AqH2FogcZdkby5LJ7qH0tU9XHV6BR2wuS9QrCpEyIersPvinS1Bb34Rr/vRXNR1B/NwW7MDkwy/E7ItPxindVGl48u/v4vV3P1erNLicDsyYfT+rNKTveubMSSDuBOpb1qOsfjmiUfl3/md7hmJQ9m4wab0lV4CGto0IGeDkLhMssFpFbVd9e0be/XYONtQsifs6iHeHQ/Im4chJt2nmW4txm9rK0NwegAL531g6rG7kekZqr8F4A2V/JKBBQFPwCiHa2vbbHa9ejytucEsraiByhkV6g2h77roj/nzjjK5auqLGrtioFms3XHE6Tj72IPVHcVCFyOkVqRaijR87HPPmXo783Cz1Z25ai5ub2BEJpCWBupaN+GH9P9ERlj9qOG7QYRicu5uuqKE4eKKts1Z6n5pghd85CH6vjggvgFQUvLUtJfh02b1oDzVK7699drgQIwboi1xLPxkamFIEehS8ZZW1ePS5t9S6u7EDHzafeTzr8Mb6ra4NqCe6xXJ5Nx8vEomqJdHyc7K6Uhs2/1ykRoRC4S6RHPuMgjel1isnQwL9TqAxWIG29jpEDVDb1WrxoCBzlHZKg3rS2o/oMEAdXpPZDI+jELmZ2jm8YnGkpOBtWof5i+cYYtPaQROvxZiiqboeuvr9y8wB05pAj4JX1LIV+bMXnj4NA/Kyf7OT9OD9du9WeMpGk4JXNo/QHhIwFoFAq4jwvoOOcJv0hu8w8CAMyt1VU2woUFAdWI26lrXSz8lqdqAgawf4dKY0/Ou7G7HRACkNg/Mm4Yjdb9WV0lDfXIIvVz6G9pD8mycnjT4VIwr21lyD0i88GphyBHoUvKI27knHHIiLzz7O0JOm4DW0+2g8CSSdQKC5FMFIwBAnrZlgx4CssbqYrSr7FJ8su0fXtcm8yOXwY9rkucjJHK5phjgLr6xuKToNUpZsoMi31pwVIOrwVresQdQAGyd9zkIU5Uyg4NXhV17SvwR6FLziWGFxxK841MHIjYLXyN6j7SSQfAJNbaUIhkT+rvxHC5thgzjaVU9LTcEr6gt/h2hE/hPkrBYnBufurmszeGPrBrSHWqEYoEqD2WRHvm+0niXIa0igXwn0KHiXLF+D0y+dixcfnoP8XP9vjCrMz4lbabJEzpiCN5F02TcJpD4BkcMLUcfLAGIjCjP8roG6nJKKghfRCBqD1YBJ/ooaMNmQmZEPk2ZJDaCuqQSfrbjfECkNe409ByMH/I4RXl3fQl7UnwR6FLwlpVXqCWjdbVgTBiZi01oiJk7Bmwiq7JME0odAY6uI8IqDDOSvgWqCyHcdocs5qSh4RZ3ayoafEDZASoPV4kBh9k66hKEoISdEr6LIX5bMbc9BUc54XWuQF5FAfxLoNaXhh5XFuPy8E1CQ5//NprU9d9sRVoulP23drrEoeLcLG28iARL4lUBDsArtHfVQxPFkkjeH3Y0czzBdVq6r+hrL1r2h69pkXuSwe7Hn6DOR7R2qaYaiRNEUrELYALmuFpiR5RHReO0sXvWhSy2LJ/8aFEI+2zMSWqWgNZ3JC0ggzgR6FLwHTp+FE46aiplnHhPnIfu3Owre/uXN0Ugg1Qg0tFRAUdoNccqVqFmbo0MYinTkmtZidHY2S+8us8mKDEcO/K5CbVuVKALBSihKSPvaJF8h5uVzFkFPmYaGlnJ0hBsRjcof4XVYXcjxjtCj45PsAQ6fbgR6LUtms1lw95wLDc2EgtfQ7qPxJJB0AoG2UrR1BtTTJmVvDrMTuTo3rYkI739/eVn2KSHD7sXeY89HTqaeCK+C0vplCEd+e1iSbBO1mjMwMGcizCYdEV5VxEcgysnJ3kzRKLI8+momyz4X2pdaBHoUvAsWfg9RqeHRO2d1nVq2+dTHjBgMi0X+lxYUvKm1YDkbEuhvAs3BGpgsVkNUaYiGw8h05etClIo5vGLiS9e+gYbmDboYJPMif+ZgTBx2gp4AL5raqmCyWo1QKARKRKzBgmSi5dgk0C2BHgWvOMpXHOnbU+OmNa4oEiCBdCAQaC2Dop6yJn90TYEJ2R7tSKjwWyoK3igUlNUuQ1TpkH5pWsx2FPkn6qp2VN+yAS3t1b9W5NuoWAAAIABJREFUC5F7anarFwOydmRKg9xuSkvreq3S0NQsdiZ333YcM5Sb1tJyyXDSJJBeBFK1JFQqCl6xMmuaihEKyy947VYHcjJH6tiyBjS2V0FR83fl37QmMn/87kHp9UuCszUEgR4FryGs12EkUxp0QOIlJEACPRIQEd6OsDHKkomi/3mZ6VuWTDhxwfL7UV7/k/QremDOTthvpyt0pTQEWisQjrQhaoA8cqvdAb9zsC4hL72TaGBKEdhC8BaXlGP+Rwtx5omHYumKX1BaXt3jZP9wzIFw2G3Sw6Dgld5FNJAEpCbQ2FaF1o56wAA1UDMy3Mh2aR/BK4CnZIQ3EkFN61pEop1SrylhnOnXE8m0t6wBhlqDDjey3frWoPROooEpRWALwfv5omWY+ccH8N6Ld+Ohp97AhwsW9zhZ5vCm1DrgZEiABHogsKksWQeikL8klNlkQ7bOHfKpKHjFa/9gpAWIGuCkNZjgcmTr+t4F2ipQXrcUYQMcmZyXtSMKRQ4vGwlIRmALwRuJRNHRGYIzw67rfG/J5tKtOYzwGsFLtJEE5CXQ3FENREVBKPk3rYkjkL2uIl2vk1NS8CoK1tcsQltHo7wL6lfLnDYfhg3YG2Yd3qpr2YDmoHjwkj+HN8PmQ6F/nPT8aWD6Eegxh/elNz9BYUE2Dpiy6xZUxJHDT730L1x/2WmqMJa9UfDK7iHaRwJyEwi0VAAWQ8hdIBrVvWEoFQWvWElf/fQkagK/yL2oABT4x2CvsefqyuFtbKtEsLPJEJVCrGYbcnXmkUvvJBqYUgR6LUs2buwwXHTGliet1dQFMPX/rsCbz9yOMSPk34lJwZtS65WTIYF+J1DfUoJO9VhX+SO8JrMdBZljdDH6peI/+GbNc7quTeZFTnsmpo67HNk6Dp6AoqC84UeEjHDwhCUDRf6ddQnehtZStLZVImqACK/d/mtZMo1FI/bfNXfUwmyAyhMiCG9S7HBnZCXzq8Cx+0hgmwRvOBLBe598jT/e8SQ+/+dDyM329XH4xN9OwZt4xhyBBFKZQG3TOvzruxsR7AxIP80DJlyFMUVTYdLxmry0bhmaguXSz8lstqLAOwZ+PUcmA/hh/dtobC2Vfl5ZnsEYP+RofYK3rQyNLWWIGGDjpCsjC4U+fTm81Y1rfn2YlNtdJpMZHkcufO6BchtK63ol8BvBu++xl6I+0Pv56odOnYz7b7nYEGgpeA3hJhpJAtISEIJ3/uI5CHY2SGtjzLCDJl6rW/CmYkqDiICWVC9GhxqRl7s5bG4MzdsTZpP2iaWNwVJsrFmOsAHqCw/IHouCrB10PXSl4hqUe9Wlt3W/Ebxvvv8lgu2deOWtTzAgPxtTN8vhtdks2G3nMRg5tMgw1Ch4DeMqGkoCUhKg4E2uW1wOP6ZNnoucTH2lrhategrVgdXJNVrH6Pm+sbpzeJuClSJbwxBpNSLbPculrRFEdkZp/VLUN6/TQSu5l4jqJ0U5E5Cj8y1Dcq3l6D0R6DGlYfnP6+BxZWD4kEJD06PgNbT7aDwJJJ1AffMGLFr1NDpCvb/5SrqhAHYbeSKG5u+Z1tG1tVUL0SqO4ZW8uRx5GFGwj66UBrFxUhyXHDVAvqsZFmTrEIZCwNe3rUcoHJTcU4AFZjhsmch0GVsPSQ86wQbypLUEA2b3JEACxibQGKxAa7AOigHyJx32TOR6hkNHCm9qHjwBYG31IrQGa6VfdO6MXIwo2FuXnY3BSjUSGo6EdF2fzIuy3IOQmzlc10PX+uqv8V3xy8k0V9fYGbZM7LPDefB7huq6nhfJSYCCV06/0CoSIAFJCASay9DW2WCIHfIOuxO53tG6oobFlV/h2zUvSEK5ZzOcdh/2HTdTV9RQvPcX4jBqgIcTk8mCLJ0Rw0BrOdpDAWOsQasHOZ5hmg9dIkOjouFHBNvrpV+DJrMFPudA5OipFCL9bNLXQAre9PU9Z04CJKCDQEPLRjQFqwwhojJsHhT4doJZYx+UeJ1c07wG0aj8EUPhIofNB7/OHfLvfjsHG2qW6PBsci8ZkjcJR066TdfDSWNbBTpCTYZIabBaHMh2jdBcg4J+SpbGS+6y4ui9EKDg5fIgARIggV4IBIKl6OhshmKE/EmzE3meEbpEVKqWJfvkh3tQXrdC+jUtNkEduPNVunwVaCtFe6gJyqada1I3izkDed6R2vNSNkV420LyVz8xmc3wZwyC3ztEavY0rncCPQreRd/9iKaWVhw6dQ9DM9x601o0CrR2VCOKiAHmZYLFYoHHnmcAW2kiCaQmAZHD295pjIMnLCY7cjOH6XJEKpaEUqIR1LasR1SRP3JtNlmQmzlKV65rXfN6LFj2F7SH5D8yee9xZ2O42IynmUiuoKZ5PSKRdl3rNbkXWeB0uNW0BjbjEuhR8F55yyNoaQ3iiXuuNu7sAHRXpaGq4SdDvPKyWTMwfMBe8Ln4JTP0IqTxhibQHKxEZzhojOiaxQa/a7Bm/qRwSCoKXihR1DQVI2QAEWWziUjoKOhxVkPrBohqIVElLP13yZ2Rh6KsnTSnFYkCDa3G8JXJZILDmqn72G7pnZSmBvYoeB99/m28/cF/8OHL9xgazdaCV9T+q2lag46wOJdc7maCBR5XDrLEHzA2EjAMAZMBLNX/aph1eJPrzm2tw/vZ8gdRYYCUhkL/eEydcIX2q38ADS0lKKldiki0M7nO0DG6iFoPzdlNU/CKv8V1resRCsl/SIjYYOhyZiIzg8EnHUtA2kt6FLy19Y04/NTZuP+Wmdh3zwnSTkDLsG4jvIFVqGmUvzC5xexAYc44ZLkGaU2Tn5NA0gmor5Nb1xuidJLFZEGeT9/rZCF43/vuFrQbINdw6oQrMbpwfx2vk1M0wgsgFTetNbRuREt7nTGqNNicyM/cEWaN516RXhhoL8WvJ2ok/fdXbwaI9Ixtqaoh9WTS2LgeBe/Vf/or3v/0mx7RLJz/CHxet/TofiN4lU1PlZ2d8heRN5mscGdkwetksWvpFxoNBKIKalqLEQ7LH4WyWGzI01m+q16IDbXUVVR6L2fYfSjI3EFX1DA1UxoU/LjxA7QGa6T3lduZi3GDj9Dlq8b2CgSDDYaoBW2ze5Hr1i5LJgRvS2ctzCYjvBECFJMCrz1X+nVFA3sm0KPg/eTLJdhY3vNpNScfdxAcdpv0bLvbtBZo26irZIoUkzPZkeUskMIUGkECvRFQolGIDV6KyQAbQk0W+BwDdf0eaApWoLOz1RAlocwWO3Lcw3SJqFQUvKKKwfrabxHskL+2q9OehWH5e2lu7RLfuUBr6abvlgFyeDNs2RiQNVbzl6U4grg6YIz0QrHB0GXPQ7aXb1s1HSvxBelXlkzUn2xdi3CkQ2K3bDLNZDLDYXbB72EOr/TOooHqq0mxQz5sgDxDq9mOXO9wXV5raC3Fyo0fIBRp03V9Mi8aWbAfBuXuoiulobhqEVZt/DCZ5uoa225zY+LwE9TTu7SayMxeXf4JWgwQ4fVmFGD0wAN0Cd764EY0NpUhYoADNVzObBRm7qj50CUEb1ndD2hsK9dya9I/N5usyPONQa6OI5OTbiwN6JFAr4K3ozOE9z75GquKNyLY3oFBhXk47IA9MLgo3zBIf7NpDQrK61eismGl9HOwWZ0YkjsR4qhGNhKQnYCIrgWCG9DRKf/DpN1mR7Z47aqjNQXLEVRToPRvdNPRbUIuMZscyNMhDMXr5Kb2SsAAtYWhmGAxmeF1ab/pEmuwXmyEMkBajU1E43U+dAVaN6KxVRx+In9ajUuk1YgIr0amgphKZdPPaDPAMdBms0X9O8zgU0J+bfVbp71uWjv14ttRWrEpF8rlzEBbcFO9vPtvuRiHTp3cb0b2ZaCtBa8ohdLWUYGoAf54iUdks2KGlykNfVkCvLefCIhNa60hY+QZQggoh7761mpZsmiHITbXmM1W+J2DtMWGArR0lCMckb/MldgsZIFVl+AVZcmqWooRCcv/0GWxOlDgGSVe5Wl+Q5uDsdrx8j90CSGb5S7SnJP4W9weEiJe81IJLjDDpETh4d9iCXyx/Sb0KHhv/PMz+OCzxXj0ziswYdxINV937YYK3PfYP7Bg4ff47oMn4Mywb//I/XRnt1UaWtYg0LSunyzY/mHEEY053jG6z1vf/pF4Jwn0nYCiRFHXUoJwVP5X/xZTBnIyR8CsFYYC0NhajvZwE8QrWNmbBXbk+kbqmBVQ0fgTagOrZJ8SxO/BwqwJyPLoKwn12fL7UFb/o/TzKvKPxwE7X6lH76KprRLt4UZD5PBaTW5ke7XzyIXgbQ1Xq9F72Zt4JAmFovC5jPN2W3amybCvR8F74PRZOOr3e+PKC0/cwq6ff9mA/zvvJvzj8Zsxfqx2TlUyJrX5mN1uWmMplGS7heOnKIEvVj6M8jr504UKs8Zhv/GX6BIbzR1VCEcihjh4AojA7x6iLXgVoLZlHTo65a9HLqLWTke2rgd/8dD1c/nHaA3Kv2nN5cjGDoMOhlmH4AsERaWQRkMcb223ZCA/c4yO75aC0voVCLSUSv/b0GK2ocA3Ftle7qeR3lm9GNij4D3unBuwy7hRuOXqs7a4ffHSn3H2rLuMK3gVoLmjWvsPggReFbX/RCmUTAefKiVwB03QIqD8WhKqvVbryqR/7snIxY6DD9fxRxlIyYMnFCAQrEA4HEy6L7QMMMEMu8MJr0M7hxeRKNoijYbIdRW/3932bM30E8En0FKG1s56Q8wrw+pCjne0ZgUUkcrQHKyCSatgr9YC6a/P1b/FOtZgf9nDcbaZQI+C9/7HX8XTL7+nCt49Ju6ILJ8H//1hNR7/2zsor6rFp68/CJvVss0D9vcN3W1aK639HoE2+Z8qRWRD1NTUszu5v7lyPBLYmoDIi68LrEXUJH8dXpPZhhz3SFh0/LFNScELYF3VYqwoeVv6hZxh82DSqFPh9w7RtFXdtNayEZHopv0mMrdtKSEnypI1B2uMEeG1ulHg01cLuqJhJYKdjTK7SbVNlCUTmyZzPEOlt5UG9kygR8EbbO/E5Tf+BV99u2KLu7OzvHjotsuw286jDcG1uxzeVCzHYwhn0MiUJ7Cs5E00tGyUfp7Z7qHYeegxuiK8DW0b0dhSgagBSkI5M7JQ6NtRF/+UrMMLoKa5GBEDlJ20mTflkWtvWQNSsTSeiPBWB35CW2dA13pN5kWbBO8A5Hi0H7qSaSfH7p2AZh3epSvWYM3aUrQFOzCoKA9TJu2kVmwwSjN6WbLBORPh97AsmVHWWzrbKUombaz9LzrCrdJjcFhdGJw7SVf+ZGNrGX4q/QyhsPxRw5GFe6Iwe7yuOrypKHjFwluw/H6U1f0k/RocmD0O++88S99Dl1qWTBw8If+hLhm2LBT6d9SRqqGgtqkEHWH5N7maYIHb4YVPR/UJ6RdeGhvYo+C94e6nUV3bgCfuudrQeLo7WrghWGKIOo0ix8thcSPTzaOFDb0I08T4KKIor1uOUET+vFCrxYlBORN0CUMheNtCIgolf5UGq1nU4dX39i0VBW80GkFN8y+IKCHpv3Vmkw0DfNonkomJNLWVo7m91hBvGRxWL/IzRbm13l2gKEBp3VLUt5RI7yuL2YoB/vHI9eqr3S39hNLUwF7LkomjhZ978DpDo/lNlQYFqGtaizDkj9YIwZth8yLLxQivoRdhmhgvdsgH2soRUeTP4TUr1l93XGu/UA601cBqMRmiLBkiCtyufOgp9JSKgleswbVVC9FugOoTGXYvhg/4na7SeA2tFejoDCBigINCHGY3cjK1y5KJlIZWcSKe/FuBxLmngBKBOB2PzbgEehS8n361FJfOeQgL5z8Cn9dt2Bl2F+Eta1iOBgOUQrFabMjz7YAcpjQYdv2lk+FKNIr1tYsRChkgwmt1YHjBFK0glOo+cfBEe6hV/YMnezPbHMhxDtWMrol5pKLgRTSKps4aRKPyH6ghTpATr8i1H7lSdw2W1PwXq8s+lv1rBYfVo+b8+1mWTHpf9WZgj4JXHC5xzW2PYY9dd8CUSeN/08f0o/aH3W6TfvLdbVorr/8R4qhG2ZvZbMeArNHIcrP2n+y+on2bCLz77RxsqFkiPY4heZNw5KTbdOVPNrZWwmKQCG80qiDTWahrXikpeBUFje0ViEblT2lQTFZku/QdphFoLUd10ypEI/K/PcnyDMMAcbSwVvu1FnRnSBzbLXczma1w2/3IdDG9UG5P9W5dj4L3ipsexsdffNfj3UaJ/HZ38ERdczHCUfl/cZhhhsPuQZZb3y9FIy9E2p4aBFJR8NY1l+Dz5fPQHpK/fNJeO5yN4QV768pNTknBm6IPXam4BsXJhRUNPyFohCoNsMDvHYQsnQ8oqfHbPPVmoVmlwehT7i6loTzwI4IdBiiFYjbD5ypCNmv/GX0Zpo39n/5wL8QbFNlboX9nHDhB37Gu4mjhYEicSCb/pjWLxY4870hN/EJsrKtahFWl/9a8NtkX2K0uTBwxHTlefTVQU/Ghq765BFWNqxFV5E/VEH+zxIZQrbyaVF6Dyf7OcPzuCaRllYa6lvWIKB3SrwkR4bVYXfDzqVJ6X9FAQFRpKK1dhkhU/jJDokrDwJyJEN8xrRZoL0eooxUK5BcbFksGst3DNVMa1Oha4EdU1sn/cGKzZmBgzm7I9uhL7fr3srtRVrdcy61J/3xg9gQctMu1mr4Shopa0PWNJYao0uBx5mJA1k6a81KiYl7rETLEaX8W2Oxu/i1O+rembwakXZUGUQqltuUXtBsgb8gMCzz2HPg8TGno2zLn3f1BQAheEQ2NGCB/0myyqvWtRSUUrRZoKUFFYJUxomvOgRiUs4tWcE2dsigJtabic63pJ/1zu9WN8YMPh8+tXa0mVpYsaoCyZKZtKEvW0FyCz5Y/jA71TYPcbfKYMzCyUGwI7f27FY0CdS3Fhsi3NpnMsJpdyPZqr0G5vZPe1qVflQYAjS2ViJrl33FtMplgUTYdachGAtITiETQHGpAFAb4bikmeJ35OuQu0NhaDbNVRILlT2lQogo8Tu2yZOLBv6x+KaoDv0i/rKwWOwblTtSV2iXKktU2/YLOqAEqhcCOAv8Omq/+hYPqm0sRCG6AEPSyN7czBwN84zS/W2INilSN9nCL7FOCxWSCy8FNa9I7SsPAtKzSUBlYhbqmVdL7TryeLMzaCT5uWpPeVzQQUKIRtIQaoBggwhuFCVnOAbrcJo51betogGKAGqhWSwYKMsdqvk4WE68M/ISqxp91MUjmRTZLBoqydkaWjvKM4i1DTWANIlH566xbzBnIzxqjGQndJHg3YOFPT6DDAG8mdx11MoYX7Kk9L/HQFViORgOUCLWY7WqJ0Gy+bU3mr4I+j52WVRqa2kphsmjn7vWZbh872PRCyIJMJyO8fUTJ2/uDgKKgtbMeigE21sBkhseRp4tKoKUUbaF6REVISvImXv/nekbBrOPXW0pWaUjVNdhagaD63ZI/wquuQbFxUuukNSioDqxBQ+t6yb9VgNXiQEHWaHgziqS3lQb2TCDtqjSIvKH61o0wm6PSrwuRAyV2XWdm6ItEST8hGpjyBIor/oOOiPyvKO1mF0YV7afLH7VN6zB/8RwEOxt0XZ/Miw6aeC3GFE3Vjq6l6sETAFJxDTY1VyAYbTbEWwZRPz7fM0JT8Iq/xTVNq36tgJLMb4322CKH1+saoLtusnaPvCIZBHoVvIqiYP3GSlRW12PE0CIU5PmxoawKLmcGcrN9ybB3m8fsrg5voHU9Og3wykutw2v1qKfxsJGA7ATEzv+Smu8Qjcj/OllUaRicuztEnrxWa2jdiKa2KkNE1zIcPhRk7qArpaG48it8vepprekn/XOn3YepO1+hK4cXiqKW7zJC+okJFhT4xmgKQ+GA5mApwuIsXgPkkQsT/Z4hmutG/L6oaVyNoAGOgbaYLeqxwkwv1HSr1Bf0KHhb29oxY/b9WLJ8tTqBu66/ANMOmYLLbvwL1m+oxDvP3yH1xGLGdSd461uLDbGTXER4xeuhLB27kw3hDBqZ2gQUBaLkX9gAp0FZrHbkeobr8kdjsOLXY4XlT2mIKmb4deb8l9b/gOZguS4GybzIbLYhzzMK2Xrq8EYjqG4qhmKSv4QcYEV+5iiI6KFWC7SVoUMVhvK/mTSbHMjzjdKakvp5SqbV6Jo5L0oGgR4F76vzF2De02/g2pkn48U3PsZp/3ewKngXL/0ZZ8+6C5+9/iDyc7OSYfM2jdnd0cI1TcXoCLduUz/JuFiUJRPRDVE+iY0EZCegliVrq0A0Ir/YMFss6qlJWqWTBPPGlhKUG6QsWaZzIAbrLEu2sXYJ6ltKZF9WsJhtGOAfj1zvME1bRRWD2tZ1iEbkP1rYbLEh36tPGMZK40Wi8n+3slxFGJg9UaTJazYKXk1EvCCOBHoUvMedcwMOnboHZpxxNC645l5MO3iKKnjrA83Y99hL8cpjN2PnHfRFSOJo7zZ31Z3gLa5ahG9X/22b++rvG5z2TOw3fib8bn0nDPW3fRyPBDYnIEpCNQWrEDZAlQYLzMhSd1xrpzQ0ddRsEsaiUr7kTcSgPRnaZcnENDbU/Bcryz6QfEZAhtWDXYYfB79b+zU5IhE0BEvRaYCDhaywIcer729oQ0s52sL1v75pkNtldosHuZkjdXyzgNUVn+PLFfPknhAApz0Lh+12A7J1PHRJP5k0NrBHwXv0mdfj2MN/h3NOOmILwVu8vgxHnzUHH71yLwYOyJUe3daCV2y0FicMbXo9JHczmcVO8kLkZur4RS/3VGhdGhBQolEE2sXrf/mjUCLJ1e/S971qaq+BSQlB5BzK3iJRBX4dKVBiLqUNK1Be+53sU4LV4sKI/H10v+n6pWohgu1V0s/Lk5GHYfm/05VvLVIa/p+9N4+z7CrLhZ+995nnqeaq7q6eqqd0d5JOyABJICRAAioIKoMiIAqKIHI1aMQIgeunIAgoXC+DeNV7FdTrZyKRXDKRkJGk5+qu7q7qmk6dc6rqzPOw976/d1cSb9JN1krT3Wetc876R0OtPnsN7177We/wPNPJR9DSxVcxHIldhtHwHq71X0wfRKWW4erbzk70Laa85BjnBaWdY+09+8evwI8FvHd+4X/gkScP42++9Hv4wz/9puXhvfFVl+N37vwqDk1O48F//iI0Cai9zpbDW27QYcgRb2m35SgKDN1E0MNHn9Tu4fae31uBZ2b+EenivPALEfWux6Wbfo4PbJQXcGj231BviQ82to3ciNHYpcxUDaqQTxWOodbIC79XBDb8riFEOaSFKcqwmD2IVkt86XjiTB6J7IHKUTiZqSwgV1yQohjP5QhhOLSL6906EX8A9x/6nPA26HaG8cZ9dyIa4PPICz+hLh3gjwW82XwRP/srf4jUyhoVz+hQn5XOUKnW8Bf/9SN49TWXSrFkZ3h4YSJVmEImLz73H5Fd9wcnEO6RXUtha10/SNNEMnsMugQqhqqpYii8k2vLssV5FOpJGBKkNDi1AIbDO3gyNXB65UkcPPXPXGvQzk4uux9XTvwSIn62R5588Cv5k1IUTtrtDsT8W7hC/+nCHJL5I1IUW4e86zDGe+nKHUVFAro/RdEQ9A2DLsq9Ju8KvCQtWbXWwLfvegBHj59GsVzF+Ngg3nzLq7Bl/OIXURmGieV01qJDs2naGSteLFXQ0nWEg/4X/O2MHF4TWC3NoKmLLz1JtGSUxxvwUK5hr/VWQPwVWMwcQKMl/rtlJ1qy6F6uBaXCrqenv41GU/xC153rbsX6/n1MDy+lNJxOPYapxe9zrUE7OzlsHuzd+DZEeVgaOpSWLFOcxf7p76AhwXdrYvRmLqU1ijIsF49bKoaiN5UAr3uQi25N9Ll08/iEEp5oNJp438c+i2qtjn/62ief35eHHjuI//Kpr1reZWp3fOyX8XNvusH6/+l/u+3Tf4X7f7jf+u/dOzbhy5/+8PM8wWcrWlstzqApQXhSVVQ47YEeLVk3v6Eyzd2ihJqBqYivBkUeG6KE4nGFknftvkOfQ60pfvj/mu3vx6bBVzIBL5nV/OrTOL5wr/AW5rJ5sWv8p/l4eC0bPAUTMuSR2/lpyWoJNGslEBOK6M1udyLs2cBOabDqaSZRbeZEnxLWAO9QD/AKv1MvPUBhAC+JXPzBn3wD//ofj2D7lvXPA17yMl/35g/jQ+99M975ltfiwUcP4COf+DK+978+a6VZfP1//ju+c9eD+Nsv3w63y4EPfvwLGF83hDt/973WzM9WtLZSpJCX+OT4RIrv1IKI+MckN7Pe8LthBUxDR6GxCoVcN4I3U1URdPFJdpPwBNGtUX6o6M1pD2I4tJ0Hx3csB+q9Bz6DxdXDom8VRqN7cdPej7OBIYBSNfWstLUEhZMmFU7yiSWtFE6i2igKv1cEeL3OKHfhpPAT6tIBCgN4v/b3d+O79z2ON950De65/4nnAS95d3/9976A/fd+DQ6H3dqmW951mwV+3/mWm/DW99+B191wBd7/zjdaf/veg0/it//oKzjywF9bKkpnAF4DWModRr68KPyWq6oNA6EJPjoe4WfTG2DHr4Cuo9wqwJCApYFoyTyuKNeWFKspi59BBpYGqsX1OweZJbmE3Rcz+5EuTnOtQTs7aYoDw9E9fCkNAO5+6nbMrzzTziFzPXtd3z7cuu9OLsCbraSQyk3C0MUvxiNKMhKeYHFcE2NSujgHXRF/TgpUkBx5iBPIcxlAr9NFXwEhAO+9D/0Id37hb/Cdr30SP3jsIEj04rmUBvr/v/WP9+C7f/cnzy/Ob97+RWwYG8LHPvBzuOINH8Cnb3ufBXqpTZ6Yxdt+9Y/w6F1/iaDfe1bAW6inmB+Ei74TZ3kgKfAoqgKvQ3z6NxHWqzeG9q4AeXiregmQgByfXKAeZ4RrwbIl8u7WYUD8VA1VsSPCIetKCD6RP4psQXzhCVJaGwhvQ9jLF+l6ZPJgzo8dAAAgAElEQVSrSOWmuPa2nZ0GQttw7fYPcAHeQnUFRIokw6WLamlCniGupV1ceQZHF+7h6tvOTsQFvXsTJxd0Owfae/ZLrkDbAe/h46fx3o/+Cb75hdssIYtv/9sDLwC8lLLwHw88+YKcXsrn9XncuONj78auV78HX/njj+L6q9d4/57jCf7+P/4ZhgaiyJdfqLhD0dalzDQMCTg1iRLfpjgxFOU76Hu23luBdq4AfejSpVWYpvjAkFBGLDAIGwcl1EphCeV6SQrhCQedF7FxJoiiFLL51CSSxVPtNBmuZ9tVJ4bC2zEUYVfI64aBZG4eMiiSUZh8OLKBi5YskZ1FqZ4jxCt8c2gurO/fxhwn2eBc6ihSBfGjDDbNiWFOG2ROvNehbSvQdsBLfL+PPX0UN1y9VjE9eXIOR6dm8bY3Xo8Pvvuncc8DTzI9vJ/5+K/g5uv3ndXDW669sHiBwiiHZh/C41MyKK0FcePuD2EktrFtBtJ7cG8FeFegZRhYXJmDAQlkXRU7RqPrYePgEl/KziG+OiUFJVTEN4Ytw5dY6Vwv1egcfGb6Xty7/095t7dt/TzOMH72mj/GaIwtw9syTPzoxF0o1pbbNl7eB3tdMVy55adh09hqf0u5BSRWT0E3G7w/37Z+Md8YNgxuZwJ5ssFTiaNYKc60bay8D7apDoyEt2MkxqbG4/3NXr+LvwJtB7wPP3EIx07+Z1jt4OS0JWzxi2+9Ge/62Zvw1IEpK4f3wP/5Oux2m7VCr3v77+CX3nbz8zm8r3/1lfiVd9xq/Y2Vw0s35GTuGBot8RPloWjwufsR4QzlXXzz6T2xtwIvXIHVwikpOFA1zYm+wCau7cuV4zCtvGTx3WsmFD42A6Azi9ZME+nSnBTAkHKTIz4ONgMAmfICytUVGBJET1zOIPr9W5lRBiutxvoWS6B6qqjwuQZBF8pek3cF2g54X7x0L05pqFTruOINv4bbfuPteMdZWBqo2O2f7n7IYmnwuJ34wG2ff0mWBkppKNTiUny8rKR/U0XQy5cPJa8Z9kbeCStAcPCJqW8hWxZfaS3iWY8rt72bj/S/NIf9M9+RgspwYuQmbBy4msucpuL3476Dn+Xq285O5OF90xWf4VO5IsBbnEXTEL8Qyq65EPVv4Fpa4oI+dPr/R6MlPhf0xOhNWNd3ObtojYB84TQakjAmuR1BBDlzk7k2tdfpoq+A8ICXVoQ4dqlQ7bn2B7/1i3j7z9xo/We5UrM4en/w+EHrv3dNjOPLn/kI+mMh67/PJjyRrizCNMQPu1JhDYVSepWhF/296D3wHFaAOEKzpUUYEoRdnyvuYlWS0zLkqkuoN0pSyLraVCdifj7502R2Evlq8hx2+uL+E021IeobR5jDu0Y2mK/Eoevi8/Bqmg0hzygTGNJqZ4qLyFXmpWBA8bn6MBDazrxMUkpDpjoHvSn+5YQKyO12N0LungjUxX37z+/ThAO8P256um4guZJBfzT0fGrD/9s3Xyyj2Ww9Lzjx3N/ORku2WjyFWlP8lAYqavC5Ygj2qFDOr9X3fu3CrICuo9jIwJSAzYAiJ35PP/OjbAHeyiLqzaIUPLw2mxNRH1FCvXQjWrJE7hAyJfG98SSxPmixNLDzJ4krOVNehGGIn+uqwY5QYB1U5m4BpdqKFIXWZHWqasLrGGDOyqIlK5xCTZfgW6yq8Dj6EPLw8QtfmAO296s/6QpIA3jPdaJnU1qbTvwQT0z99bn+5EX7d257ENfv+U0rz6vXeisg+gqYhoFsLQ5DFx9sKNC4w8lrtGRVKQCHAhsfX20H05Ld8/QnsZg+IPrrgtHoZXj9ZZ9g57pal64EltL7pRBM6gttxxCJn7CaCayWp63oieiNOPFdjgjCvZQG0bfqJcfXlYD3RPwB3H/oc8JvnNsZxhv33cmXuyb8bHoD7PQVIJqhZUvFUPwQJaUK9QW2MivJLQ9vdRHJzHEpWBpivg1WOJntXgPypQU0TPEVJ6l416G4EfSxaxkoj3x++UnU9Yrwr5tDc2N935VMRg2aCBXi5cqLUlD+uZ0RDId3MU2QitY60QaFN7wuHmDXAV4qWlspTqHWkKMy1O8a6MkZdvELKtXUTROlelaKXFdFVeFz8AlPZEoLePz4t9Boiu+J2rvxLVg/cCUzL5TOwUz5NBpN8YEhAV6Pw4+Ql50/SZeuRPYImhIUQtltTgyFdvN5eEsJQJNBdgKAYSDsHeU6uhbS+3Fy8UGuvu3s5LB5sXP9Lb1vcTs34Tw8uysBb75CeWviUwyRm0ZTnQh4Bs7DVvd+orcCF34FOlLWtbyIUnUZBiW+Ct5czgAXJRQB3tXSSRgSsBnQOei0BbnABgkKZQozUhR3rRVOjkNVWRnXALE0NFp04RL/u6WoDgwEtrLflB4tGXuNej3O6wp0HeClRHkqWpOBwJsqyJ2qHyE/3235vFpG78d6K3AOK3Dfoc9iKX3kHP7lxf0nw9HdeM0lH+PyruXrSZgtUo8TH2yYChD28J0XREv2wOHPX9yFP4enES3ZrZd/ii+1yzCRzB9DSwIgb9fc6A9u47LBdHkO+6dloca7GRsHruLa6cXVA5hJPsLVt52dHJoH28ZuQoiDKaSd4+w9+6VXoOsAL32zVvJTKNXzwtuGqqgI+gYQ8vTIroXfrN4AYRg6VoszMCABJZRCRWubQe8YqxUqSRhsJxzrZy7K3xXDQMAzzAWiOpKHF0AnRhnWbFD8CINl5AYQ5LJBE0uZIyjXVi/Ku/GTPERRbIgG1nMxhfwkz+n92wu7Al0HeHWDKF6Ie1J8bw15eA3VRMjFLta4sGbS+/XeCrBXgDhQE+nDqEtAju/U3BiO7WXmutKsM+V5PHT4L1Bvin9JfsXEu7Gh/2queXUq4H1s6utYzp1gG2ybe/QHJ3DVxPu4LiedaIP0Lc6Wp6VgnoCiwmn3c0dP2mxavcf/mBXoOsBL67BcPIVscVZ4o7BpDvT5tyDQo0IRfq96A1xbgU70rmVLcTT0khQ8vCRX2xfkk0zuSMBrGsjXVmCaMggLaQi5B8GDeHOWDZalyCO3KXbEOG0wkZtEIn1I+OPTobox1r8PQY7CSeEn08UD7DrAS8UauWqcfKdSbLui2BHyDEox1t4geyvQiYA3XZzHkfl/Q6Mpg6zrazEWu6xrPbzEBV2op2AY4qfVqNAQ8A5x7VWumsDS6iHoEghq9IW2YCA4wTEvE3Mr+7GcOy78wUk0huv6r+DjuBZ+Nt07wK4DvLTVp5efsAoARG8uux9Xbf9lRLzrRR9qb3y9FbBW4KEjX0Qie0z41RgM78D1Oz/M41xDvpJ41gsnfhoUZWoFOSNCnejhJVqyXCWOli6+h9ducyDopnxrdoL4auE07nrydlQbWeHfrRv3/i62Dt/AAXgBoiWbWrhf+Dk57R7sGn8jwr16GuH36qUG2HWAl5gMF1YPIL76jPAbZ9dcGB98Ze9WKfxO9QZIK0DeNUoXkiF6Yioa+nxboLJr1pCvpWBKoB5nWaGiIMTB0vDcOUjqXaI3Ogc3DNA5yCEtbBjIVxNrlVOCN1NVEXSOcNlgRwLeHi2Z4BbaecPrQsALZIqn0WyJrwZFFeQOuw8hb0+/u/NevQ6cEYWTa0kp8gxJKjTgovxJ9j7ka0mYeofRkplAujiDlgQhcgLxLpsfQc5z8Ecn/x6rEtRo9AU24rJNb+eKMmSqC8gX4tBNskOxm8cdwVBgO9e8erRkYu9lp42u6wCvlcNbmUNTAvlT+hq7HG4E3Xy8mp1mnL35yLUCFE7OVhfQaIp/mbTb7Ih4N/DgXUtaeHHlMFoSXJIHIxMYCG3jCifPr+zHiaX7hDcyUrnateEW7tSuTswjJ691rSGH8AQVTsYCG5h2Rd/ibGVWDpYG61vs7X2LmbsqdoeuA7wkPFGsLaElQ1GDQmUNdvh7Smtiv0W90VkrQLRkpeqKFKT/mmJHwDPIBQyzlSVUK6swJPCuOR1+9AU3c1lkJ+bwwjRwPH4/6k3xpeNJFW9i+EbKQ2HuV76SRDJ7FC0JHDX9wa0WSwPRar5U632Lmdve63CeV6DrAK/Fw1tPQFO187yU5//n6MDQDR0Boq7ptd4KSLACM6lHUa4tCz9Sj7MPGweu5Qq75stJrJROQJcgjzfq34Conw02aIM6FfAW6mkYEgBDxdQQ9PLRkhXLSZgKXSnFz01WTAVBzwgPjkcifwyruSnhzwub5sRQaDdCvhHhx9ob4I9fga4DvHSrLFTjMEmDU/SmUA2KimAP8Iq+U73xWUVrOgr1ZegyRE+gWjmhLC8UbSzlJet6C1ToJUOLeHmUGU3Mrx6QhhJqrG8fV/GuaRo4Fr8X5WpG+K3yuiLYNnozl9ofUWmeWnoYrVZN+HnRXg1HdrLfLRNYLZ1GvSG+N55y/t3OCEKcDCjCb1KXDrDrAC/t83z6GSRXjwi/5XSrHB+8CmFfj5ZM+M3qDRAwTcyuPIlKPSf8anicAazvu5rPw1tNYjl7QgoO1IhvPfpDW7jWf7lwCpmC+AI8mupAf3Qzgk6O4l3TxOmVJ1Cpia+K53EFsIHTBjuRpYFyeEuNVagctGxcBn2BO5GH3e/ou8BP6f38hVyBrgS8S7njyJXEP+iJ7HoguGMt7NVrvRUQfQWIA7W8CEMRn/QfsFmcmjzf2mxxAYVaSoocXpcjgIHAdi6qq7nV/ZCFlmzT0HUIe/mKd1cLM2iZ4hdOaqSk6eNTxcsW55GvEgOK+CwNZIODwZ1cNijLXql4ljGJUjV6TdoV6DrAa5hApjQrRWENEZI7NS9CPTlDaV+wbht4J1bIZ0rzSBdmoEN8IO93DWIkspOrEGpu5UeYXPiu8CbqtHlx6ca38kW6DAOp4jRMU/y9UmFDf3ALV65rR9KSmcBS7iiqdfHFNFRFg98zjJi/F20V/sB4iQF2HeClNLxMaUES/kkVLpsLgV7ekMzvWFeN/bHj30BaAg7UaGAjrpp4D0d9PJCvxFFtFEC0a6I3m+JEX4jtNTQNIFk4jkp1VfQpQVU1hLyjCPt4cpOB6eQPUCiLn8Mb8EawcfA6bhskWjJZbDAWGmfblZXDOw/DEN8bD4W+xZ7et5i9q0L36D7AC2Apcwgzy48JvTE0OIfmxraRGxHohVGE36veANdW4ODsv4A8oqK3sHc99mx4M19KQ2keydwUDAm8hmHfCIZDu5leQ2KrqTUpRC5B8S5UKKYBn3uAaVbEYpAvL8EwxZcWJg9vyDfKLu4CkO1AG6T7Y646i4YE/NZEEEqRhp7zifkKCt2h6wAveTaWyydRq4tf1EDUaW57DFE/n2dDaEvrDa4rVqATUxoKlSXMZ56WokJ+MLgLA2G28ASdg6vV02g2i8LbJXl47VoIUY7ULmJpSOVPoqVXhJ+XTXOjPzRBcJ451kIliVorL0Wqhk3xIuLfwLxMEuCNZ/djOXuKOf92d7BpDozG9iDiYwtqtHusvef/+BXoOsBLS5HKTWElf0J4u9BUJ4aiOxDy8BVrCD+h3gA7fgU6EfBmy3NIFxdhSlAw5HWGMRi+BCoLQ1E4uXhaCoGGl0sJ9fCxryKROSb8uzYY3I5X7fwgExjSRHKVeeTLKyBAL3pzOrxWsTXLBomlodBYAgxV9CmB6mkIoId6IlDC79VLDbD7AC9pyJdn0ZCA+09RbPC4wgi4h6Q2st7gu2cFOhLwVpcwn3pcCgnUofAeiwOV1SgbebUwjUZLfE+oAhUedwghN1+F/NzqU2i2qqwlaPvf7TYX1sWu5PDvUt3JPGYTj0pRezIU24WxyGXMtJoeLVnbTbDrBtB9gBfASp5oa8Qn8F6jQvEjzBHK6zrL7U1YuBWggpoji99FqZISbmwvHpDf1Y+d69/IBTY6kQOVRDQWVw8gV1kUfq/IwzsQ2IZYgKMQCkA8fRANXfzz3a45MRrdy7X+VGj91Mm/Q6NZ4urfzk67x38G6/r2ceUm92jJ2rlT3ffsrgS806nHMLXwPeF322H3Yu/4W7kPeuEn1Btgx6/Ak6f+FunCaeHn2effjMs3v4MrnEysE/unvy2FN3Tb6OsssRqWghx5eJOZoyjVxWczIMAb9gwjwkkJdSrxMOot8YGhU/Nh89CrmJ5QepmylQXkSwkpeHjdrhCGgtuZZwB5eNPlGegSyEDTJjk0yk3u1dMwN1bgDl0HeMmzsZSZRDI7KfC2rA3NbnNjLLoXYV8vh1f4zeoN0FqBTkxpKFSTqDXLpJ0s/C7bFMcaMGTl8AI4mXgQDxz8kvBz8jjDeMPlf4Aop4e3E22wXE+hqZuWmqHoTYGBIEdUkgBvsZaSQ7LbpMQaIOBlM4WIvj/dPL7uA7wmUKwuweD4IIhgGKquIODr5fCKsBe9MbBXoBPBBtFcHV+6Hy1d/LzQ9X2vwEj0EqaHl3by5NIP8Mixr7I3tc093I4gbtrzcUQDfBXynWmDiyjV0jAkuHS5HT7E/GxBDQK8lUYChgUlxW5WxEQ34O+pnoq9UYzRdR3gpfWYX3kak/F7hN84Ulm7dOPbLNL1XuutgOgrQBXkx+L3oV7PiT5UuJ1BbB29iYsSKlOMo2EUpPBE2VQnov5NTAhBipOkHteC+LmuBDZcdj83W80Pj/8VlnPis/D0BydwzbZf5UqryZaWEM8cgm6Iv18DoW0YCE0wL13krM6U5lCTIP1EU1R4HKEeD6/wJ/tLD7ArAW88fQgL6R8Jv3WU0rCp/1qEfOuEH2tvgL0VMA0dpWYGpiG+rKsBBSH3INemFapLWFg9IIUc+UBwGwZD7PxJAhv5KhWsiR/qIsBrGipCPo79MgykK0QhJ74NAiqixFfLYYW5chyG2ZDi0gVTQdQ3zmVaS9mjaFC6kOCNpIU9rlhPWljwfWINrysB70J6PxKZo6y1afvfyVuzYeBKRHw9/e62b0ZvAFwrkMxPoqWLr3KlqXYMhnZwgY1OZGmwOFAri1A0GcLJZHoaAhxKa9TzB0f/Aoms+Dy8QyHi4f0Ql4eXWBrylUUpUhoo53ogsAMqh2nNpB7FUyf/nutsaWcntyOAa7f/mnVB6TV5V6DrAC8VrdFhWG2IH3YlOcOwfxShnrSwvG9Yl428E/MnOxXwZsoLUFXxC/HIVWhTHQhweOTpfI+v7EcTDeHfPM20YazvckvUgNXypUVUjSKI+k/0psKBgeBm5jBprxZW9luiGqI3TbFhKLIbkV60VfStesnxdR3gJc/GSuE4KjIAXkWzkuQjnh4VitRvWRcN/v5Dn8OSBNGTofAleM3u3+b0ri0iX4lLobRG3jWelAYyyfjqAZxIPii8dTptHuwYewNCXvY5SHBwpTAtRfqJXXUiFtjEFWUoVpNoWalC4gNeuqCEOepOet9i4V+9jhtg1wFeOjBWC3MwTPErrhVVhab5EOl5eDvuxevECVEO70qROHjFz58kFcM1sMH2ruUqS2jp4vO6kk2Z0NDn38RhXiQ8cQQlknYVvFH6ScS3BVEfG/DSVL779B1YXDkg+KyAsdhleP3ld3BeuuZxdO5uNCQo8NoychPGYnvZ7xYVTpZmYSrip0CRCJSiuhDufYuFf69eaoBdB3gpIrRaPIWWBNWuVNTg1Pw9smupX7HuGbwBA9nyAnRJcngpPMkDeAvlJZxKPoqmBLRkI9FLMRLdyTWvqfj9uO/gZ4U3UPJav+mKz/Dx8JoGjiceQL1RFH5eLkcAW4dfw3HlIjaDWSxljkCXoCCUak7Gopcyi9YopWE5PwUqXBO92VQX1kX2IujjkLc2TVRaOSnST2Cq8DpDoi//eRtf1wFeWrnl/DSahgweGxU+RxRB7/B52/DeD/VW4EKtwHO0ZLV69kI94rz9rtsRwsRY99KS0UJ2IuAlGyzWltEyJMjhhQ1BL3Gss6MM+coyoLRgSJDDq0GD3zPInJXlfCrNoFbPn7f3+kL9EKn9eV0RrnoassF8NQldAhtUYUPYAvFsG7xQa3sxf7frAC/lDa3R8YhfrEHFDKahIezrAd6L+VL0nnXuK7D/9Lexmp859x+4SP8y4hvHZZt+niucXKiSpCudF+LnT9LHNuxZx/X96kjAaxiYXX0Szab4KWs2mxPjA9dwQQ3KIa80sjAM/SK9Ief+GKfDj5h3I5cNJnJH0WiIT0umvAxaMsMwEM8cREsXnzNZ0+xYF9t37pst2b/sSsBbqiah2WwSbBWJNOrwO/slGGtviF2/AqaJfC0BwxA/Jw+KjTsfr1MpoToR8NI7+O8/+gQWVp4R/nUc69uHWy7/JNelK1+KI1GYgilBulDYvw6Dwe1MwEvXx2TmCCpNCTy8ioqQdwRhLwcnvmmi3MjIwQWtqPA5+4R/V87XALsS8KaLlNJQP19reMF+h2jJXC4fQm6OvKELNoreD5/vFaBQXqm+CkB8bw19tTTVYakMsRpRJiWyh9HQxX+37DYnhkO7ucBGpjCP5dJJKYB80D2E4ejurs3h7VQbLBSTaCr0XskQZVC4BBoslobiSRim+J5QOgddjjD3JXlq8T7UdfHzyB2qD9vGXss62jvm710HeClRnpL/y9WU8JtI6i6x4CaEeG6Vws+mN8DnVoAO+mx5RgpgSNXJTpsPIZ5iDQAH5v4FueKC8Jsd9q7H7g0/wwV4SaCh2qScf/HBhgo7+jg4UMkGl4vHpcifpHBywDOAMActGRnesfj3Ua6uCG+Dflc/JkZv5BpnvjyPbImEJ8S/JLvsYQxHdnF4eE3E0wdRKMe51qCdnSiHdyC4HeS9ZjbTxGL2MFotGdJqXBiN7GFOqVM6dB3gpYM+U56WIqGcTgwLbHBwGnaKQXbLPCic/MDhzws/XaqQv/XyT/FVyBs6lgszMBU5aMn6A0SOzy7WyFfjaDQrUqhckTc+xinrupg5iNnkD4W3Qafmwaax1yBCucmsZhpI5U6gZYofZdA0FwaCW7m88blq3LqcUI626M2ueRDzs3N4yfl0OvU4JhfuEX1KcNh9uGLLzyPsYauemjCQLsxCN8VP7VKJC9pPbDUcsnjC7xJ7gF0HeGlJiJi83hI/UZ5SGtyOIMK+UfZO9npItQIzqcdwZO4u4cfstPtxxaa3IxJgS2oSLVm+koChiw94VU2zKq55aMmI9L+uV6UAG4piR4wiQgwcTxf/dOkkmhIU1igK0TMGuOgZCRAeX3oAjWZBgncrgImRG1lbZc0jV15EpUG5ruIDXk1xYSC0hbn+ZIPFWhwEfMVvCmAoCPEUkJsGlnLHoUvwbtGlayjMJ7Eu/h6xR9h1gJfyJ9PFeeiK+HlDFE52aB4EPT2WBrYpy9WDCqFk8ABYUQbVjYB3kL3Auo5iI2MVWoreFENBwDvANcx8KQVdaUjBq6lpKoLuUS4QtZo/jbpe4VqDdnZSFQV+ZwQ+D9sGCfAms5OoG+I7NOxwYyR2CVeUoVBfWbucSeDhJfjqc/Vz+QyzxTh0CSJCVg6v6oTPwz4zyAZXCrNoScDb7VBdiIU2ctlgO8+A8/XsrgO8Fi1ZbREah375+Vrkc/8d1VJOCrp7LA3nvoZi/st4+pBFMyR6ozxyyiGPcuSuER3PcvEE9JYEl0nFhiHKM+RouUoc08lH0JIAHI7ELsNomC8nL5GdRLMlPuAlxUkCUDxytbSdj0x+BansFMfOtrfLQHgbrt3+Qa488nxtBQoVWkvgDNVhIuwZY0YZaPVPxB/Eg0f+vL0bwfF0tzOEWy67gyu1yzQMlBppmKb4XNCKqcLvIS7o7mhdCXjLDSpYkyBnRVFg6CaCnu6hDemG144uXYWa+IUatBfkXTNNDUEezwaA+ZUnUa6nhd9GjzOC9X2v4PKEZioLViEe5eaJ3lyOEIZDu5ggihyF2co8oIiPoFTLt0kiDexIF6XVpAvTaMpQMGR51zaDInmsRvLWptmSIvxP51vUt55pg9QvVTiGmpWqIXajS5ffNcQlb22ldpXjaEnAVqOpTqsgmccGxd4hvtF1HeClfKFkfgqZ/CzfCrWxl011oD808awSShsH0sZHU6FGCw0pDnoKk/vc7MuJxdJQISYD8XNdaettqhtBjnAy9b37qdsxLwEH6rq+fbh1353MjzLNKVeKo6pTTqgM4NCOgSBf/uRy/hgqjVwb326+RxNLQ9A7iAgnW81M8gnUmuJHT9zOIMb7r+ZahFxpDtOpR6UAUSORPRiN7WWGyelbnCrI8S2mYtD+IOe32DCQKcdhKuJfkCnVP+Jdz+WN5zJUwTt1HeDtZEoowW3tnIZXqi6hSZsmAdigIYZ9Y8x50nRWS9MwDPFD/1S969S8CHGkNHQq4CWWhnqTitbEz00mj03Ut4EJ5DvWBg0D2VpCilxXKkq26jPYRCHo1HOwUKWiNfGBIZ1tmuKw6PGYzTSxWp6Frouf0mCj88LPLkhmzlmSDl0HeCmUt1w4jnItI/wWEfdf0DeMsKd7WRpytQSatRIoTCR6s9udCHvYYIPmcSrxMB4/8U3Rp2SxhLz6kt9CxMdxKJom5lefRr0pfsGQw+HBuug+kHw3q2VLCzgRvw9NCXJ4Nwxei5EIn/BER9qgoSNfXQYk8K6BzncX1WewbZBoySq1nBSXLrvNg37/Zua01tJqZqVIP1GgweH08olAPW+DEkTwFDsCrn4QE0o3tK4DvOSFoyIU3RDfGMkI14qG2LlrnWqsxVoStUYVpgSV/ypRQvnZPI3SUUKpAUQCbM812eC9Bz6DxdXDwpvjaHQvbtr7caYnlCZC6SfpwpwUYMPriGI4ylGMZwKJ3BEUJBDg0UgG2j+OqI+DhxfA4fm7rDQU0VvQN4JLxt7EZYPp4izu3f//oSaBDO8rd3wQm4dexaT8WzsH5eDEpxxXm+rhOgdNQ8dKeRaGBB5eVbOvXU66pHUf4KUPWGkBhgQhcvI+2XjDKB1qsPnyIqp6SYoQpU1zIuLbxFGCAnQiHU+npjRkiovIVedhGOKnNMKsV/AAACAASURBVHjdUQwG+Xg1SfzkvoOfFf7kIPGTN13xGa4KeZrMo8e/huXcCeHn1R/aiqsn3s8FeLPFRZSay1LYoNseQF9wgum3tiTW6cKlsj3c7d9MFYppctVoEC1ZsbaMpgRFa3bYEfARS4MMe/CTW0H3AV4TWC1Po94gqVCxG6U0uBwRhLuINuTFO5KrppAunIAuweER8m/gvi0THc9DR78otgECcDvDuOXSP+QSnqDJPDL5VaRyElBChYgS6gNcYCNdnMNjx7+BugRiBpdv/gWs7yf2CfYHrBMBL3nXyk0qxBP/ckJ75HWyi1zpvSpUkzCMphT5rqaprBUYMkyQitaoliFbEL+AXNOc6AtsQcDN5oImruTF3GE0m+JT/tlUF8aie8F1EAr/tWIPsOsAL+UNlWoJmBy5e+zlu7A96EBstUyE/Rwv2YUdStt+PV9NWqFkGdR4FMNAiCPsSqG85cIxVGWokAfxNA5z0fGQkRxfvBeFSrJt9sL7YL97CNvGbmJ9k62f60QbpCLQxfRBJDKTvEvWtn4UOVnffwUiHO8WDfJhWXh4Q9tA4X+eTxFdujJlSqsRv5bB6wxjOLKH+W7RVHKVOQlireQAVaAYlFrDTi8kLpf55SelEHVxaG6s77uSq5ahbQfAeXxw1wFeS86wTh9k8SmG6IpsmiZCXezhLVRSUGw2KbbL1FtcVbwWU0h1Do1G9Ty+yhfmp1SVWBp8fJKaAB468kUksscuzGDO468Ohnfg+p0f5gIbuUoCq/lp6BIQyUe8o4gFtzA9vGSD5Vaa2e88LvlP8FMKjFYTAQ+fAE8nUuNlS/OYST6KFolPCN6GI5dgLHYpM0z+n99iwSdkDe+5bzHb+UTf7ET2iBSy3XabE0Oh3VznoAy7xBpj1wFeWpDF9H6cWnqQtTZt/7vT7sX2dbcg1M0sDeVFNFolKa4nVLTWF9jEtBtL7a8yJ8XHy8ojt/kQcrPVeEhhaLl4SopwMhQNfb6tUDmKk7PlRZSqyzAk8K65nAH0+7cyP2BrNjgPSMB+QmBDVZ3cXNAL6f1oSCA84dBcGItdxjwvqEOuvIRGqyiFh1fVXIj5xpk2SPNK5Y6j3iCOa7GbomqWIlmIaOQYjc7BfHVJClEXEuAKuEa4zkHWvGX4e9cBXqsytEwcqOJz5NGJ4VS9CHFwu8pgbOcyRqLjaTTLchz0igN9/o3M3LX/VFoTP8pg5YKaKoJeNuCl/V2xVK7E90I5bE5EA5uYYVeaU7a6iGo1B0MCoRC75sVAYAvbBk1gOTeJsgQqV6piQ9A9iIifjynk7qc+YTk1RG9j0ctxy75PcgFDYgrJk9qaxUkudnPaAhgO72TaIM2iE/PIKYc3X0lKITxBDCg+94AkkZ6f3O67DvBSZWi2sohWS3zSf1VRQSGHoGfkJ99pSX+BijXWYKH44JCGGORIP+lUG6RQ3lLuIOp18VM1HE43RsJ7uQBvpjSPJ0/8LRot8fmFLxn/KYz3XcX1ts+nD2Jm6WGuvu3s5LB5sG3djWuKUBytE1MacuUEGnpJiiiDw+ZC2Lue691KZietHHnRm6baEPWNcwoL6ciVKYInPvUpXSajfvLGs4tcRd8jnvF1HeClRVktTCGZm+FZn7b2sWtOjIR3wMcp69rWwV6gh+fLKSRyR6WQ1BwMbUY0sJl5W6bIeKY8g7oEVbwk6+pzhuHnsEEqqMlVk9AlUJCzwYmAbxgqx2e5UEs9e9+S4NKlmPC7hpizIhtczOxHpnj6Ar255+9nKVVoOLobUQ6Oa3pqJwLefCWFcj0DSKD253J6EfGOMw2AbDCRO4RsaZHZt90dNNWOgfAEwhzy1nQOJnOTUlyQ7ZoHg5FdXOdgu/fgfDy/6wAvvWT5mhz5NfQxVhQb/JYaT3e2fDWBSi0NQ4KD3m73od+3iR3KM4GMpTAkQ5RBg8MRQNDFIanZoWAjW1pCvZWXggPVafMgypFWY1XIVxNQJcjhValCXrPDx0nh1ZGAt5pCo5GHIQHdmqq60UfKjCynoQmkK7NoSZBvTTLQDmeQ6xyktJPV8mkppIXJw9sf3NI14KLrAO9ascYi5WoL3yh/0jRUhC1i6O5shWrCok5qSZBz3efbiL7wVi4Pb6dS43Um2CAOVOJ1lcDDaxoIc9J3dWT+JIAfTP4lktnjwh+Yg6HteNWOX+fK4c2V51GspaUQ4HHYfOgPsYUnaIMWV/fjePz7wu+V0+bFrnVvQpgjj5xSu5aLJ6WIStpUB/oCW0GXym5owgDeaq2BbK6Awf4o1LMorxiGieV0FrFIEDZNO2NviqUKWrqOcND/gr8tpV+YT9jJdDydaLCZ0uJasYYEHl6Xw4/hMJ+sa7o8h5oEQgYkbe22BRHy8eWRT87fg2J9RXhT9Dqj2DV2K9sLBSBTWsDjx7+FRlN8sZq9G9+C9QNXMi9dtEEdCXgNUrlahaFIIDyhaAg4+7lskNRBZ1KS0JKFiZZs78ugJZPgIvlyKEJNE6V6VgqREEVV4XNEhD+vz9cAhQC8v3n7F3H/D9eqaiMhP37m9a/Cxz7wc8/P8aHHDuK/fOqrqFTXQsB3fOyX8XNvusH6/+l/u+3Tf/X8v9+9YxO+/OkPW8CY2tkA7xodjxwvmaY6ubhdz5dBiPY72fICmq2yFMITKrE0vAxasqYEnJqUVmPRkvEU43UoHQ+R/j945ItSXFBesfU92DR4TfcCXgCzK0+gXs+LdpSdMR6XPYh1/Xyk/7lyHKZJRVDif7dMKIj42AWGFh95+TRauvipXYqiwmnzIejlu/jff/jzSGTFF3UZCu3Cqy/5La4og/AvFMcAhQC8f/HN/42bb7gC60b68fjTk/iN3/9z/MNX/xCXbN8I8vxe9+YP40PvfTPe+ZbX4sFHD+Ajn/gyvve/PovRoT58/X/+O75z14P42y/fDrfLgQ9+/AsYXzeEO3/3vWcFvBYIzhxGuSa+F0qhylDvBoT96zi2sjO75OoJNGolKWjJNLsTMe8G5kYYxBRSmpUi5EVFa1QlH/Ky+SdhGCjUklJUkpNsd8A1yOVdI07NWqMgxaWLLsgWNR5H60QPr2mYKNSW5LBBxYaAe4gLbGQrceRLSzAkyLl2OwMYCm5nW6AJJLJHUbWkoMVuxMMbcg1zfYvJBldKJ2GYTbEnRT54047+IJu3W/iJcA5QCMD74rG+5m0fxS/89Gvwq+96E8i7++u/9wXsv/drcDjsVtdb3nWbBX7f+Zab8Nb334HX3XAF3v/ON1p/+96DT+K3/+grOPLAX1tUGy/28NINeSlzBOXaKucSta8bFaxFA+u5KkPbN8oL++RcZRG1Rhm6DKT/NjeinMUaFKJsynAgQoXDbkfQzfZsUO4aFeM1muLz8NpsDkS941y5ax1pgwCIEqpQW76wL/B5+HXiCo34NyDsHeX6tadO/g2W83NcfdvZaSC0Afs2/xLXEHKVJdSI1UWG1C6bGwHvOpwlM/GFc6WitdK8FAqGinUOOrnOQcr3z5RnoUtAS6apGiK+jSAK1G5owgHeucWUBWi/8scfxfVX78G373oQ3/rHe/Ddv/uT5/eDUiA2jA1ZaQ9XvOED+PRt77NAL7XJE7N426/+ER696y8R9HvPALy6FUaZliKMAgqj2P0Id7HS2mpxFvc+819Ra4jvBXjVJR/C5sFXMcPJZIOlmhzy1lQ4aagmQi6OwknTwKnkD1FvFoU/O12OADYNXsvMM6SJrBZO464nb0e1kRV+Xjfu/V1sHb6BaYPEBZ0pnUJFApUrVdXgc/QhyBNlADCTegTFsvhA3ufpx8aBV3J5eKnQmthCDCutQezmc0XQH9jGjJ6QD2O1OC2F0hrZoNsVRZgjpYG88MnMUTT0itgbBcChujEUvYR5Xgg/Ec4BCgV4y5Ua3vWhT8Pn9eBbf/5xaJpqpSz8xwNP4p++9snnp0T5vD6PG3d87N3Y9er3PA+OqcP0bBw/9cu34/v/+GcYGoiiUHnhAUEH/XTyEJbSBzmXqH3dyBg3Dl+J/lD3pjQkMnOoNklSU/zcNU1xYMPABNNgCPAu5xPQpCiMVaGoOvoC7JSGlmEgnqbLpPjCExocGOvbCpvG9mzE0yfxz4/+vhSA9+ZLb8Oe8dcyPdeUVjO/ehy1hviXEwonB11RDIbZeaG6riORT8CUIHoCaBgKj0Lj0LcmG/wXiWxwN6cNxtOn0GiJDwxVqPC5g+gLstX+yAZPpfajIQHPul1zYcvwPi4bZH7YJOggDOClXN2PfOJLSC5n8D++9PsIBX3W8vF4eD/z8V/BzdfvO6uHt1R9YR4NAadji08jmTsm/PbYFCc2De3DSJQvJ0/4CZ3DABdW51BuZKXI4XVoLmwa3MGcJRVrzK1MoSaBcheF8vzuEEYi7Nzklm5gdvkYZCjG01QHNvTvgJ0D8C5mpvHQof8uRdHalVvegZ3rX8kEvHR/XEzPoi4D2FA0eF0+DATZaTVkg4nsAnRD/PxJ4kAdja6Hxoz9w7pITiefkoKecSi8HdtGrmB6rtfOwWOoSBARonMw5OnDcIR96SIbPLH0DJoSFOPZNCe2Dl/OdQ4yP2wSdBAC8BZKFXz4D76EarWOv/rTjz0Pdmn9nsvhPfB/vg673WYt6eve/jv4pbfd/HwO7+tffSV+5R23Wn9j5/ACq6U5FCoSyBkqdoS8Q1xytRLY2jkNMVNYwGNT30S9Jb4n6tKNb8WGgVcww0PPU+OZ4rt4aYQtvYWghy1+QpfJXCWOli4+2LDbHAi6h7kkNfPlBEzVBCSIMtAYQxy5rhQvWS2dRqMuvlwycYS6HUSNx5HDqxsoNlakKO6iglBeWrJcMY5KIytFMZ7T4UbMv4UJeOmDEM8eRSJz+Jy+DRfzH9ltLoxFLkeEg4cXuoFqK4+WBIwamqLAYw8z008u5lpfyGe1HfBWqnX8wgc+aXHofuGTH4LP67bmq6oqhvojoL9f8YZfw22/8Xa84ywsDV/7+7vxT3c/ZLE0eNxOfOC2zzNZGuLpgyhKUKxBHKh9gS1c+t0X0kja+dtU3FWopqRQWnPZyQu1E8wIpUl5oTMwIH5xFym0OLQAQhziJwR4lzKHpEhpUB1ujAb3cH2UM+V5lKrLcpD+2/0YpAp51l2KKuRzx9BoFdr5enM9myihfK5BRHzscPJzly4ZirugUeX/KJ8NluYwnXhEitqT0b7LMRYlHt6XbiZMLKwewFJ6jZJU5Eah/w0Dr0SUkzHpwOl/RqYkfuFkxLcBeza8hcsGRd4f3rG1HfCmVrIgVoYXN+Ljffhfv2z9z8TRS4Vqz7U/+K1fxNt/5kbrPynvl3J6f/D4Wk7urolxfPkzH0F/LGT994tZGshJs1I8BV0CDlRimXCpfoR4bpW8Oy5Zv2x5HrnyohSeDY89gqHwDibY6Fhasg6VFs7XkjB1OZTWKGjAW+QazxxGMitBapfmxLrYZXwXf8PE7OrjqEuQLuTUfFjffxUX2CDwdGDmf6Mhwby2j70O6/ouZ0a6yAGaLs5IkaZBm+Sy+fkKJw0DK6VT0CVg1FBhQ39gC/ObJRls+LHDbTvg5V1IXTeQXMmgPxp6PrXh//23+WIZzWbrecGJ5/52Ji0ZMJ16BI9P/jXvo9vWz+0I4YY9vwm6hXVry1USaLRKUgBeh82FsHc927lmAiSZbMog52hStMVEgIeloUMBLymtHZ3/HpoSVF1PDF+H4egeJtigi3++miAiTvGPFlOxoiY8NmgaOlZLs1JwoFIELxbYzNwr2qBOZQqhCF7DkKBozWJM8lppUKz2HD1js9lgdW3734meMeLdwMz5twZK3ysJjgsaKkUPzhbkkgbwnqtlnM3Du1w4JgUPrwoNQd8Ywl52KO9c10f0f0epJy2jIUXRGokZEDk5C/ESHU8idwjZ0qLoyw9NtWMgPMHNBX33U7djfuUZ4ee1rm8fbt13J5d3LV2aw9LqQSn4QmPBjRiNXMZc/+dsMFMi1UmxGxUYDoa3cdvgscXvgXJeRW8k171t9HVcNtiJ9Ix06SrWltCSgK+WeGo12OH3DDDNii5dJB0vg/AEeXhjHOqgNOlMeRG5Al0mJaDG8/RjMHRmAXn3AV4DWCmcRF2G3DVo8HmiCHm6GPCWU1BtqhQqV4auI8AhwUuHx3LxFLLFWebh2e4ONs2BPv8W7nl1IuDNlhIwzBpMCVSuFNgQ9bMrycmuphM/xBNTEkS67EFc/zIiXZ1pg4tWVEgGsEFFUAMhDh5eSmkoT0tBjUc8vB5bBHRJYTXTMFDVi4AETCGGqcDnirKmZP2duK1Jn0KGc5A80X73mUqaXQd4aSGoOrkuBeG6DW5nBCFOEMVltZJ1IiUo8gRQiEL81kKIQ5GMWBpytUUpqv5JeIKqyXltsBPBRrq4gKNz/yZFXujE6GsxFruUK0zeidLCdEZ890d3YFGCQqjR6OV4w+V3cHl4s+U55MopmBLkhZK08GBwJ3NedA6W6kkYrJCYAAc/1dPQVyjoYnt4DcNEKncEDV2ClAbNgaHwLq6UBpKN13XinpDhWwxEzhIZ7zrASwVDxfqyBK8YRcYVmIq5Rl3TpY0ohkyDDhtD+BWgm33APcg86GkiRI1XrCSEnxOJaQQDwwg6B7nG2omAN1tLYDkzCV2CD1jUvwkDoa1ce9WRgNcwEc8fRLMlPgOKpjkwGr6U67zoRHpGcmRQ0ZoMfLV06ScgH3RzKE5aNngIzVaN6z1sZydNc2I0vJfLBkuNFcBkC/W0cz7PPZvknQPuM3FT1wFei6WhcBI6xL990eY57H5EPd2rtFYoxVE1xKdOor1SYEd/YDPzfe9UG6RijaOL96BUSTHXoN0dfK5+7Fx/K9fFN1ecR76ekiKU59T8GKLcNRYtGYCOBLxWgdcMWqYcgLfPt4nrVcgWF1CoSULP6AhgILCdi55xRRJ6RvLwOlSiZ2QXrRkwkc7NwFDExxiKakfUu4lL/KRQTaLRKEtxDqoaFeOtPwPIdyXgXS2ekoIKhdRdnJoX4a6mJVvE5MJ/SFEhv2ngOozGOCrkQXy1R1GsSSB+Ahsi/nHuvNBE7qgUHhuH6sFgiIOvFkC+koShtKRgClEMxSpy5SEA6UTAS5eu5cIJ6BIU1mhECRWc4NqrTHEO+cqSHHzkjjBGwju5Ll2LmcNIZY9ygf52diJP6LroZYhw5Mdboi5Et6aLf+myq05EAxt57scgwKtD/II1y04M86zF/l0HeCkPJ5mdRKmaaef7w/dsxYZoYIS7OpnvR+XqVaguodoglTXx84ZUxYm+wDh7gYn0P38ctXqW3bfNPRTFhqBnkIsDlXZoYfVHqDfEV+9yOjwYi+7jUlpLF+dARPL1pvjz2jl2M9b1X8nM4SWWhmThGEqV5TZbGPvxRN8V8a9D2McX6fqPpz+J+ZU1XnaR27q+S/G6yz7BBXjp0lVp5KXI4XXa3Yj4xtkgyqqnmYchASc+VWu5bB6u4l3DNKxzsCbBOeh2ejAavQLEQsFqxWoS1WZVDgEexYYQXU5eFOnqOsBL4eRU/iiK1RXW/rb975pqs8Au70Hf9gFfgAEUq8vQiZZMghxeAoch4mlkhJN1A6jUlySY0Rr3omaq8LnZxRoWHU9lFroENEOaYkPMzxdOzpXiOLrwXTR08QHvpsEbMMYRZSAbzFdn0ZTAC7UW6fIg6GVXyNMR1JF55KUFHJj5JzQkuHTtWP96jMY4hCcApHLHsJSbvABfjvP7k3bLw3s5F+ClJz829XUs506c30FcgF+jCMNVE+/junTRt9iAJAI8BhDynpl+0pWAN57dj+XsyQtgPuf3J22UUB7dg4i/e4UniuUUFJsiRWXoGi3ZMAvvktQ6cvV5GC0JcrwUBariRuQsh8cZ1q7ryNTi1gVF9EYgKurnC+Wli7O450d3otbMiT4tXLfrw9gyfB3bw2sCmeocWhIAKCoYctgDCPEUDHUo4C1VEmiiKQUfuWKoCHNI8FKUIddYgmIQiBK7kby1qWsI+TiKd3UdpVYOpgzhf4OcGX3MbxbtTqW2CmiSfIubOnyegTPm1ZWAd6VIPLxVsd8wGp2iwmMPIeobFX+sF2iEueoCSjUK5YnP0uDQXOgPbGXelomOp9BYAgx2GOkCLSv3z1KxBkVFQhyE6/Sj8exhlGvipwuRiuFYdA/XOhAlVKZI8tbif5i9zjAGw5dAZUQZaE9ztQUpqq6JrQZQEfJwgA0AD09+RQrJ5MHwDrxy+weZ5wUZabYyh3yJitbEPwfdTj83LVmuSuI74qervRx6RtMwUWquoKWLn++qQrG81hw1rha7la7rUjifiL7PqmV40QnfdYCX3q1cNYGWBIBXgQaH0wW/kx1O5vpyS9ipR0vW3k17WbRkuoFCcxWmBAVDIBVD4tTkOOkLjSSMVlOCz/Jaeh1P0RpBjKXVQ6i2xPdaUw5v2DdqyXazGs3r+NJ9qFTFZwrxOAexbfQ1PCaITqCEevHedSotGdng6ZUnUJPg4u90RLBx4BVcNlhopEDhSRl4eKl4NeQ5MwWq6wCvRfpfWWBTprBO1ov1d8WBEEf+5MUazsV+jky0ZCoc6OOQaaQDYyl9GETkLXojsEG5rlHOtJrF9EG0jIro04KmejAa3g2F5Qol71onUkJ1MC3ZA4e/gERG/LzQochO3LDrt7g8vIVyEi0Qr6v43lDT1BDxrmPO67lvsaKKP6c1VnwHV6SL+NhXCqdgquJHhIhXt88/wYWHiG6yJQmdqwkV4R7gBegly9figCLDSwYQzVCIs1hDeJRxDgPsBCqUF0+bbDBdnoEuQcEQHfQOzYsIJzVeJxYMZUpzyJc7jxJqOvUYpha+dw5v5cX9Jw67F3vH34oYDwMKgJnUo2jo4l+6nKoH4wPXcEUZVguncdeTt6PaEJ/Z5ca9v4utwzcw88jJihZW92M69fDFNahzeBoVTW4fvRkhHqYQw0CulrBEo0RvqqEhSEquPJGuHi2Z6NsJLKVfmKtLYKNYIxJ58Y0RJpXWAAFv96Y0lGoptCQJo6gkPclxOVmzwaQMFoiXa4OPHf8GqMhL9Ebck1dNvIfnnEexmkCpXpCCKcShuhDzj7M/YB1NCfW0FDLQTpsHY7F9XJRQ2eIisuUFKfLI/Z4Y+oPb2O9Wp9IzGjrKjQxaEhTj2TQFXmc/1+WkXE+haTmtxcdOimkg2GNpWNurXG0OzZYMCeUqHKoTfp4KedERxjmOL1uaQzJ3AoYEeaFh7wiGQhQmZ082kT2MmdTj7I5t7uHQPJgYvh4BL0fhpGkgkZ9CSxdfUtOmuSzhCQ7HhpUClS7OS8GB6nNFMRjaybQayp8sVpdgqXZL0FRdQcDHlnU1YGBh5RkphGrsmhfr+i7jAhskQx7PTKJliP9u9Qe2oJ9T3poKyGuNkvAWSKldPkcUQR+bGo/oGUvNjBSF1vSxCjj7uNa/TLRkCkEo8QEvhfKpGO/FretyeGkBOlFhiMtiJey0WprD/Qc/h1ozL/zor932a9g4eA3XB+z08mMWr6bozWkP4Oqt7+GiGaK5nFr6AXIS5CZTwdrmoeuZeYY0J2JoaBhFKQ56TXVaOdccdy7MrzyNyfg9opugpTZ56ca3IcRx6SI2l2RuEg1dfBYem+LASHS3JUrOavmSPGp/mkph8hGOWQHL+Wk0DfEBL7GEWICXx/mk66joBSnU/hRTg9cV4dqrPInUWIqT4gNeDRr8nsEeSwMdLDPJx7B/+h9YZ0zb/+50+HHttl/lBhttH/AFGEAn5q5ZeeQWHY/4FEP0KTZNG8I8GvKGgXjmgBQeXk1zYF1sH5fFkoc3mT2Bli4+v3DEP4LhMIEoRqOUhuJp1FsFVs+2/11VNbjtkbMSyZ9tcDPJR1FtrLZ93KwBuB0xbOTM4SVZYaJaksG7RnCIitZ4WjI3hXRhiqdrW/tomgtDoZ1cKWtrHt4sTKPZ1jHzPNyAgpCbj+6vUFmyUjVofqI3h8OPmHdjT2mNvPGrpRk0muLfKhVVg9cR4VZ3Ed0Iz2V8VDB0OvWEFLrkVHVNeus81+X55WdwMvnAuSzJRf03VDC0a90t3PLWyfwkWrr4B72m2jEY2sGzVcgU5vHY1DdQb5HEtdht76afxziHtDDNYilzFLnygtgTIgZe1YHB0BaEvGPMsRLYmlt+AuV6mtm33R08zgg29F/FZYO54iIOL9yNRkt8tb8tI6/BWHQvO9LVod9issFE9ijqDfGjkk5HEEPhnVw2mC8vQ9PIBSK+o0Y3TQRcg2dE8LoupWGtQv40DAnkTy0iFJsXIS87d63dh/eFen6hvIRaqyxD1hBsqp2LvotscLU4A92iGRK7kQ267EGEPGfKNJ4xctPEUu4omhLk8No1B4ZDu7kuJ50aZVgtnELLrIttgJbkhAaXw8/NVnNq6WE0DPGBoUPxYPPIdVzrny8toqrLkVajwo6B4BbmvMhbncweR640z+zb7g6a6kBfeOtZqa5ePDaaV3zlAFqK+O+WZtoxGrsMJDDEarniAvJ1KraWwMOrBjAc3tHz8FoqV7VFSRLKiaXBjiCnwhDLYGX8e768iGqrJEXeEElB9/vODKO8eN3XbDAuiQ0S4OC0QcNAtp5Y4/4TvBGIChKIZ5/z6ETAS9tzKvEwHp/6puA7BbgdQbx690cR8bGFJ8j2UqVpmBI4NFTFBirw4rHBfHUJtQZd/MV/t2xWHvkGpl3RMZEtz6AuwQVZhQqnI4Awx8WfRA9ylbgUe6WampWmwYF3Qc4nHXKk1SimgrDvzIhQ13l4qcZwKX0MldYy84VsdwdVtSPoXofoWTau3WO7WM8nPsNmnQCv+Ae93e5E2LOBeXhYgLe6BE3lKS26WCt99udYASyTKl7ZHl7qlymchiEBOTkpyIUDG0HSmqyWrSwgk5+TghLK545ZLA2sD5gV6SqdhimBh/e5SFeQo2iNbHA1v8TCqgAAIABJREFUNw1DFT96YlPciASowJBtgwR4db0KYqEQvSmwI+rdwATydKQvF46jXBM/31pVbVbBWpgnN9k0Ec8cREMCNVe73YXRyKVcJpWtLiJXIGeh+AxXbmdkLWXtRa9W9wFeE0gVplCpi0/gTR4AykMJ+zkoobhMVr5OFhWKVaohfmWoYZhc6Sc0l+X8SSznTgi/IeS1Hg7t4KbjWS5OwzDFL+5SFDsGgxNc658rzSGRm5IiDYqq40eje5hgY01ifQmGLv7HC4oGO1Vd+/iKax49/nWs5E9x7W07O/UFt+DqifcxLyc0xlI1hbpRhWmIfw7SdytC+dYMHL926ZqGIUFxl6KosKkeRDi+xVTUVWympYh0maqKoLOf6zUolOOotUogD7bojfL++wIbzxhm1wFe2isqWqvVxU8op1slUYacTRNadIM7X+PLVVZA5NgyAF4YJrzufiYlFH2zitUU5QpI0NaKFIIuNtggSqjV4pwUKlcO1Y1ocJzLu5YtJ1Bv5KBL4F1zql5EA+woAxleurgA3RS/wFBVFdhV51oKCqORDeYqS9AluHSppu1ZBUMOD28H0pLRt5iKkglEid40RYXHEeIuICfKv1JdfM+11xm12GpYESHan074Fncl4F0uTKEpg6yrosBlCyPGcasU/cA41/FZwFAWD6+pI+Rhe+PpoM9VqTqe/aE713U7X/+OwsmmQflQbLBB+ZOF+ooUIIo05EPeYa4dIBs0ZKGEMg2EPWzvGtlHJ9IzGhY13kFJqPHs3NR4nUAJ9eIzic7BTvwWU9rJcu4kdAlEQijfuj80wWbUwLNOGsm/xV0HeCmMUqomodls5wsTXLDfIbBBSeJ+zpDDBRtIG384X12GXdWk8PCSlGTQzScDvZDej0TmaBtXlu/RdCBuGLiSr2AIwN1P3Y75lWf4fryNvdb17cOt++7k82yUE6gS/6QpQXWyzWsJT7CQvJVHXlmEokkRZoACDQGed8s0UW6sSpFvDUrTcPGpXOXLSYsSSoZIF6V2BdxDzHfLinSV41BtWhtPAr5HWxd/BfA7+c73Hx77b0hJkLI2EJzANdt/jblXtEqd8C3uSsCbLs9BUcTPQyH/n83mRNDVvbRkxVLKoneR4aAnr2GEp8CQPBtWrqv44WTiCXE5fAi6OTy8HQp488UkWkpNgixyCoYoiPk52AwAi9/68Oy/8n3x29jLaffjiol3cYkZ0KkeT+9HoyV+0ZrD7sRIhKSF2Y0k1qeTj0rhuR6J7sVYbC8zgkWXruX8MVQaOfYCtLmHohCbwSCXDdJQHzz850hkj7V51OzHD4V34PpdH+ECvNliHEcX/h2NZoX9w23usXX0BoxE95zhue5KwLtcnEKtLsdLFvAMIMxBuN5m+7pgjy9Vl9C0aK7Ev6DQEM9GhfLixZGNlkyDA2SHPO2xE99Crig+r2bEvx6v2PpunikhXZjDg0f+XAp566sm3ouNg9cyQ5QW2OjEc5BoyYpUsCa+N5681v2BrUxvPBkp5bo+Pf1tNJri8wvvXHcr1vfvY9qgxVebPggqhhK9UT3NQHA7n+qpaSKVPyEFLRnZ4ECQzwYpIlS1BLvE/xYTlWZfcPMZZtWVgJc4UHlu1e1/CRXrMOT1rrV/vOd/BPlq3LpRykBLRuTkMd848wO2BniXKEh2/hfsvP+iQpFXBJ0cHl7TRLo0K4UEr2Z7dq841os4NUk1SYYog6Y4z3rQn/XSVY1DUcSnuXruhQpy5MfD0K3QK2SYF1FduahCnv01okvXfYc+J8Wl65rt78emwVeyAa9BjEmTKFZWON7C9nbRVM0Cu1y0ZIaO5cIMTEWCS5dCly4ChmwbzNeSzzJPiP/dMhQg7B7pAV5agaXMEcytPN3eN4jj6Q6bGxsHr+5qD2++EkehuipF/qSb9Lt9W6Aw0iKpWKNQTXBYQPu7UO4aXTaowIvVqEI+WTgFXQIieaJbo/w19jEPyERLFvCMYIyDloxscDFzEIWK+N41TbEjFtiKWIAvVePw/F3IlcSfV9A3gkvG3sQVTs6VF1GxpGrFv6BoigsDIQ6ltedsUAIPL0mRx4JbudKFqGgtX0lIQfmnaprFAkXnPKsRNZ5hUZKJD3hJWjh8lm9W13l4ab9WChLJump+hHzsyn+Wscr693RpAYdm/wV1Cahrdoy+HmMk08g4PMgG08V56Ir4eYakMOTQPNyUUDOpR1BrFIU3N7cjgI2Dr+TybGQqCcwkH0ZTAiL59X37QHl5LBukDcqXl2DI4AlVVNhNO3wedoEXXbqOx7+PmgUOxW4uRwjbR1/LZYO5ahKVGhVOig82nHavJbHOhlDPOp9W5XA+bR18Jfwc1HhkddPJR1Csiu+59rv611KgODaLGHisc0UCESh6S3yuMylCuxLwkvCELsHHi4ha3c4wXyGU2Gf7OY8uV0nBMCpShJNNKIh52SkNFBpPFU6hJEGuq6Y5EQtugZ+nQp6KNY5+Ccm0+OwTQ+GduG7Xh7kO+k6UFrYuXaVZSVIaVKiqC2EOiXXTMJDMT6IpQdGaTbFjKEaFNeyWLcdRqqSkyAt12n3oD2xjRrrIUbiQ2Y8VCdgMNM2O0djliHLKW6fLCzAhvqiLqqgI+8a5bLBQW4FiNqX4FusGeXjPdBR2HeBdU3eZQdMQv9JQVRQ4NAK87HCydWTyXNPYZ+uF7/EyvBS5agKKKYfSGn1seYrW6KAn8RMZClCoWOPlEK53Ii1ZpjiHhyf/G2rNwoV/N37CJ+zb8k5sHLia6eF9rnDyJ3zcRfnndA6apoYgT+GkaYLkyEntSvhGYMNzZp7h2cadLS9Z4ieGBLKuDk5qvDVp4RNo6OILT1Ahg9cRRsS/jmlW5IU/Fv8eSlXxhSd8zii2rXs9lwBPrhZHuZKWop7GYfNYBaFdLy1MB322QqT/4udC0ZtFCkMBDs8GTBOlGpH+i3+rVFTVkkzmaaSaVKkR0BD/A2ZT7egPbWVOq2NtsENpyXLFRVR1YnURP5yswIHBEIdkMqV2lWbQMupMe213Bwqjum0BBDnyyK1wcuIR1CUAUQ7Vg83D13Etb6GSRKVRkMLDa6fi3bPIur54ouTGWFzdbzE1iN7smgvjA9fyAV4AK/kTaLbEf7fsDgf6/Jy1DMUF5OtJmBJ8ix1qAMPhHWfU4nWdh5deMjLGakN8bw1VhvpdAwh6ObwAHUrHky/PI1talIJI3mUPYziyi1nwannXqotSfLzoQ6TBhgAn2Hjg8J9hSQJBjaHwJXj1JR/lCopki3NI5Y/DMMS/TJL87ggHB+palGEaTQkKDCmP3G0PINDF52CxuogWKTVIcOlao2dke0LpHMyVZ9GQQJGMbNBp83Ffujox0tUJFKFdB3jpAz4Vvx/3Hfys6JdKeJxhvOmKzyAaGGeP9Xk6HvE/ylDsCLj6obDoDKiwpgOoUM62eWSDDxz+PHtf29yDbPDWyz/FbYPLhVMwJMhdUxS7RcfDY4OdSgmVrcxKQSJPpP8Oh48v/G8alsJVy2y0+c1hP57y44kDlafAMFOex2phGqYhvliN1zWI0chu5sWfgHEiN4lqU3xOfJWEJ9xDXECeriWPT30T6eIs2wja3CPmH8crJt7DlcObJ2YhS21S/EiXYaoIn+WC3JWAd2H1GYvIW/RGVCiD4V2I+Tcwh0o5ayvlWRi6+Ae9qtnR7z+TFPpsk+wEKpQfB3g77tIF4Knpv0M6L8FBHxzHvo3vZH+UAWTLCxbNEDEAiN6c9iCGQ9u55nU69RSm4t8TfUogpbU9638akQD7HKQK8uOJB1CXgCnE5Qhg6/BruMBGtjSPJ078LRot8YUnLhn/KYz3XcVlV4nsJJLZSa6+7exkt7kxGt2D0FkKoc42rlPJh6TgF/Z7+rB54Hqu8yJXmsczM/8shQ1OjL0O431XnLE1XQl4U7lTqOvZdr4/XM9WFBv8zn6EeEJ5uo5yqyBFUYMGFR5XlGsNinWidpGDCoWG6XWeSYVyRu6aQRyo+5EpnuZag3Z2UhU7hqO7EeWUq+1EOp5ilarjya8hvmcDKuB3DtL/YbZMcQE6xPcYkry1Q3Px1TJY52BejnPQ1OBx852DuXLKKrQ2LQ+b2M1mdyLsHmMCebo/rhZPoW6pd4ndKMrgc0X5UhpMA4ncCSn4yO024kymnH82V0i2lEA8c0AKeevByDYMBLf1pIXpJUvmp1BrZsR+wyzSBRuCnkEu4Qny8FapUEOCPEN6uTzOCNf656spNBp5EJm36E2zuRHzrGeeHWSDhXqKC5S0e84U8ldUBV5HjDkUssGyFZ4U/6NMYWSvk83rSpPuVBtM5o+jWhf/HFRVzQIavBLrP5r+B6Tz00x7bXeHmG8jLtvydq488k6kxqMc3nJ9BZrKcz1r724pigIdBnwc5yBFGYp0DuriXybpY+V39XExPBWqtFekDyr+t1g3dCsF5cWt6zy8BDZS+SMoSXDQ060y5BlDlIcK5VmwIYMHgE54nzPGlbtWrC/LkDJkvVeKocPnOfMle/FLRwd9vrJINMvCNwKGpkFcjex5kf8zkT0qhWeD8ieHQjtBHzJWK9ZSVjqDDKT/5ISmAkP2rEwspg8ikRE/nEyqeOv7r0CEoxCKLl2F+jIMCWjJqBAq4B3iOgfTxTn88Nh/l4Mab/M7MD5wFXNeFuClGg0JAC+9UK2mibBvgHVcWM6Z1fwpKQpC7aoLsdBmkC2yWid8i7sO8NKmxrNHkcgcZu1v2/9O4YaxyOWI+MfYYyFasnpWitsX0ZL5HHweXlKrUTSbHInyrRYCnn7mXlkHfSvN/CAwf+iidFBgtJpc86LhdGJ1MrGEFKy0BvE9Gy6bD4Ph7UzLsGywIT5P6NpESN66hSCn+MkPj30NK7lTzDVod4eB8FZcNfE+Lg9vrpQANCmSagDiI+fIde3Uc9C6+Gcm0ZBAHdTp9GMwuJ3jggxLOU72b3HXAV56yVaKJ6SQnqTKUAq78gLepdxRORSGNCeGw5fwHfTlJTT1khTeNVVxgKpeWaeHRUtWISUe8QEUTUazORFwsT0bnQp4c+UlNFpFKYrWVM2FGCknsV28nclW06GXLiqyXgNQ4ueRK6oDAwE+PvJOPAdJgGi5SBcu8VO7oGjo823lcrLTOWipx70M4ah2XSpJ9fRsEaGuA7y0AQvpg5hNPtKuveB+rkPzYGLda620BmazaMlSMBXxQZSm2OF3kyeU/VXOUzjZCk+KPy86B3g8G9RvtTgNQwLqJNohh+ZDyMe2QfoUPzH110hLwIAS9W7AK7b9MocFrgnV5CtLoA+Z6M1pI8L1nTyvVg/wtnkz1/Xtw6377uS6nNA7tX/mO2i2xFcInRi5yVL7YzXrHCycgg7xmYUotcvJeQ7SvFcK01IITzhsTkQDm7jOQWKqWVObFP/SpSo29AXOZILqPsBrUg7vcVQacnD/kSJZmCOlYa1gKANK1ha9kX6338UO/dM8CtWkBFD32cCroiDgHGB+wOigz1TnoDfFV+KhojW73Y2Qmy1+Qjmu6fIsWhJQ4xHlX8y/keugz1VJ1rUkhUfepjrXogwcrSP5yAE8NvUNrEhQtNYf3ISrtr6P63Kydg7KITyhmAoC7iHmOUgmmswfk4K+i5w0Yd8ol3Q8nYNLuYOo16scb2F7uzgcboxE9vKdg+UEWnoFhgQeXpvj7Ewh3Qd46SXLEfffVHstjePpNs2FdbE9CHiG2b2JjqeZhy4B6b9qavC6o1wvWYHAhgS5ULRBmmpD2MsGUTopDJVOQ1fEr+Ilz4Zd8/7f9s48Psrq6uO/2WeyTCb7wpIAyhIWFaWoSEVpQdSqUDe0IkutoGLdKoqlaNFWiorVivhCS90QxbrUBbAKWESKKLssQgjZ92SyTCaZzPJ+zo1JBaLPBULnPpNz/4M888y933vnPuc595zfgUtmDYaCKK+lcrVN2us1zFdQqdDkuD5SpwzuxkI0t+gjpMFMHpuY06R+W7ll/8GO3H+EeSa0v95mjcXw029GgoQ0HiUX1niKENDB6YkJFrhie8AoMVukBV1WsxcBHajwJDq7I801RHti6bS1Ygu+LlBfC9pqicZZvX+O+GjtCnKk0lBRm4uWoPoGL+UJJTvl9sGGxgr4DS26SAg1m4yItXU75qWryxm8FPZfVrcfFW59GLzprsFwSZR1pePWmqYiXRSeMMCERIliGrRj1jSQwVurix+ZzRyFxNjeUh6bwoqt+LpgldRDIZwXURLUkD7j5TZ6AOt2PY2Sqt3h7LLUd6fHD8KoIXdJeaHqvKQUQv419U9PQiFD68uJRrQQ7YOFNTtRWP6FFK9wXmQxR6FP6oXCw6bZQkEUunehpUX9o3+z0Y4eiWdKSkJVwWLUw2Ey4A8G4XRoS/7RGiyq2Y3iyq80pzXcF5jNDvROHgGX5BqMRFmyWjplCPp0kctAEkgJ9HJy1D7Y5QzeVkmoAqlNJtw/MpJMkpaECoVwuGIzvL7acHdb8/vtZiey0s6V8mzQj4yk1vSQn2wIBuGSkU5CCMXVu1BUuV2TVbgvoApDWcnDES8hjUd9/fee51Basy/c3db8/jTXAIzMvk3K4CVJqGpPni42+mhbPDISztCydwWfSAxpoOPkwuod8AfU967RCR4dJxslMgzplIHC8PQgjWczOpAUp11JM1IlQv8rS6b+GrTQXEnKklF568NlmxHQgb5wuisb3ZPoZfLIR0GXM3hp+AVV23CgcL3mQzHcF1jN0RiYeamcZyMYRKOvDkGj+ok1VGnNYXFpeqGIf11jGQxmsy5cG6EAyZLJqRlEorFBckT1TZUIGtT3hJLGtdOWIrUGyeDd8PUiNLWo/zI5rO8kkTBEoShaLSLXoJBndOsieZdyGaKt8VrTJP4u9kGSZ9RB/GQoSPtgmua4yPlU31yqeZ0aFxjEy4ZLYlzU39yyzbpQgrLbYtEr+TypfZBlydRYiT/Yi+KqI9+y6EdW1XBIFxnyNDCbOQ6uaAnR/2AQtd5iwKB+BiUdNzjt3aSkUOitsuHbI2XVl5vV0qppqGVrkLe6oHI7iiq3qj4kUKxrr7QL5EoLU9JaQ54+4icNViTEZEl5eEkSqqGpXBceXlJpIO91V12DZJSU1+7XRfgJDGakOvtJrcFIrLRGOXhV9bm62C9okqzmWLgkCguJpLXqnQgE1E9KNloc6OaSkwitbaSXkxYdaDQIKWgkdKAs1CU9vOW1B3QhCk0Z8lSRLC5aO0OeZriuqRRBOidSvBmNZpD6hNZDmYbh9haJ1asHMz5kMCDe0V3zAUZjqa47BJ9fBxuiwQhKGpKKIwfJDOXA71dfZojkeBKc2gmGtAbJ4N1+6G34/B7Ff1nAgB5j0TP5bCkPb1H1LpTW7FV+TFRprWfSUKkMeQRDOFT+mS7mymKKQe+0CzT3C7EGGwtQU1+gi1wGSkhOj8vWHFcwRDkapOqi/j5IJ0JWc5TUPkheeAqrafarH9JgMzvQneLIJZq7uZgCtHURXvh9z+IuZ/DSiVBF3X5ROUn1Rlpy8TE9JbVdQ6jxFsCnA6kri9mChOgsGXsXVfWHsX7HM7o4Tj4vewp6pY6QMjbK3ftAtclVbwajBQkkxyNROYnGsvqrR5BfsUP1YaFn8lkYO3SO5kOZBhKJ3jXaB2u9Jfo4EQoZxGmQ06590kXzFYnV/uika+vBlWhuUf+la2DmWGQm/0hqH6ypz0OTDuKtyeB1mKOknE9tEqF+HUiEmkxU9TRZaq7cnnxU1hUBIb/y+3u0PRHp8dkcw0sbfX1TMfw6kHehGC+SromViAulH1ljSw0CIfXjJ2lUMfYkqR8NVXdpjZ1U33NtMtmQHKudrEGyZLVevXg2DLCYY+BySEjjAVizbR6KKtUv290t6UyMOXO2lMFLYRrFlTt0cfSaFNcb3ROGav626CCoxL0T1Q35mteG+wIzVe6K7y+nFBIKYl/RWjQLgXy1m93mRL+M0VLSeNWeQuQUrYdPB17DnmnnonvCIE0jqm0NUulu1RvpdqfG95Nag/wsDv9sft+zuEt6eCs9OWj21Yd/VjR6YDSaEGVOgCtGIqQhFESdrwaGoPrarqGQsVW2RiI7udZTCp+f9IXVN3itJofwXGu5rsngbWyugMmonVgU/kVqRBB+xFCCl1aLUEkoN0njtdQiqIOXSUp0TZQob9360kVH5OrvFwYYYbZYEWfXfukieUZvoB7QwbiCISNi7Alavyrx9+qGQtQ1FukipCHKFi8XR04FeBrzdFE9jhKtbRYnnBIxvCRhWO7JRcCnfkiDyWhFStzpUs/iOk8FzGajLiqtBYMhxHQgjdflDF7aPCpqv0GZ+xupjSacF5mMNmQkZSNOpsoVxfA2lyGoB881THBGp2t6AIg9yZJV1+fCrwMpFFd0dyQ5e2mOiwLqPTRX4Vxcx/XdBsSJUtA/3ChZo6h6B1oC6heeoLhQaUkobxEOFm+A36/+uHokn4OMhIGaazBi90FSaWgq18VJF+VoxDm01QxoriIxrIb2weqGHDQH1A/ToJcuu8Ulwru0Gu2DVJ1RDy+TImxSMlyNXrqa/CSNp/6Ti5KtU5x9j5mqLmfwUkhDWf0+NDepf+RFG2KsLRXxzh5avzEgEIRXeELVT+8i3ckoS7ymJ1QYvJ4ShIwhXcjxULICGb0yraw+BzV1h2UuDes15AGgSjxSSWu00TcWoUUHpYUtZqsol0xa11otEo2NiN0HQyF8XbAanqZKrWkN+98prGtAj3EyB12IRGk88eLvrwKVIla9UQ/9AT/iorRf/OlZXO+rAOnxqt6OR56xvrEUBpNV9SGJ/pE0XmwHTpouZ/C2vi0fgj+kfmaoEUZYKX5SQqVBvFU2UkC5+jG8MJngsmurGdBc1XjyRVlXPTQDLEiJ66v5AGuTJSuu2qb8sOhNOSuVZMkkSmoC2J77D6FqoHojSbIzsiZozhWNg8aTU/IZ/DrwXHdPPru1epdEy6/YhoOl6ySuDO8lNtIj734ZXLHaL5O0D5a49yCgg7kyme1IjxsovQYjTRqPVlWpex+afe7wLjCZbzeYEefIgCtGO6yGbheJ+2BtUxlCOnBmiOk0UMXJY/eLLmfwth2j+HVQa51coHZjjNxGHwyhov4bBHSQQWmUNAxp3VLC0Nac1+Hzq18qdED3sUL0X6uRd40qJ+mhmgYVMDDCDGe09tFriNZgwwEEQzqICw3JvZyIl66mQviaPAjS5qF4M9tsSIrqLWVEUbW/+iYdqNUYzUiK7i1V7U9UWqv6Cj4dGLxU5apH0lCpU4ZIXIMkS1bu3guPDgxeo8GEuKg0JMhU0ozQNej2FsLn8+ii2p+REshjerFKg3iA1eejWQdSKCApFKtDLoaXxK5rtsOrg0B5m9UuMsllDrLcjSVCM1kP+sJWsx3x0Zma4yK7yU3JGjrQnxQvXWINanvXaI4KKr9Ek0/9mDyHLQrdE4eBlFC0GoU0rPpyHrw6eDBfdMadOC39Qs0YXnrpogI8LUH145LppcthiUVcBx6bo+cuGAyIan8hHVT7M8KAGHuq1BqMSHlGocNbgBY9vCDTaavFIvUsbl2DFbqo9kfhJLEOuTVY31SKgKj0p37YpCEIOKMyjnnx73Ie3tbs5FxdxBlSrCuJk7uitI9RIlUKhaq7eJuqEYT6oRp2SwwSKENeowmVBl+ZDraN/w7EaZcrmbxp/1KU6yAhNCWuH87tN03KE1rVkI8t37yoi9CaIb1+jqwUOQ3U3NKN2HzgJa3lGva/2y1x+PHg25EQnanZF9oHqzx5ujhloJOTJGcfzTHRBW5PIbxCak19Y4MSQmXkGVu1oAsRDKiv60qx/kajFXGSKg0HSzfqYr+wW53okzZCShqvrrEUTX59rEHKPUkkD+9RrcsZvPQjK3XvRnW9+vqTNGlp8f3gitZOWotUOR53QxEKKr5ES1B9iZf0hDOQFt9f07sWsbJkAA6VfQ5PU7nUQzycF0XZktGbioRIHDPUe8pgNBt1UWEoGAhISSdRonVZ3X54fdXhnAap76ZMcjpOltkHSRKqrrkKQR2cnhhCJsRRqJDEIqxpyBfKQsGg+lUMXTE9kRE/SDMpmfbBhuYSmIwmqXUQzovolCEQDMApo6oRoRKh9Z5y0IFYSAfJePReGEtzddT+HjEGb31DI/yBAOLjYo/4XRRXHWso5ZZtwpaDy8P5+5H6brslFiOzb0V8jIxnI4SGZr3I8ZjgdKRqHv23xfDmlW9BQAfB8qkJ/dGTRP81jCgKaWhoLkVQ60KpVXJqL2pVMQghTsLDS961OlqDupDGMyIuOkPz5YTo1nnLv9XgVd+7RmElJDMkYcejpGY3Gpp0YPAaTUL9JFFiH6T52rBnkS5KJqfFZ+OCATNk7F3UeArQ0FSli9Aum8WBFOcAyMiMt0qEHji1m1gn3J281umJA6RCGiJ2H6SQhoBfFy/+NOUJHTgKdW/wNnqbMOvRF7B2Y2vG+5DsPnj20TuRlBAn/t2RwZtT+jm2HHylE34Gp/YWDosTI7NnICFW2+AlSSyRRamDeKgQTIiXCNMgujX1hdiV/74uktb6ZVyE7slnahpRIn6y/pAu9GpJGs9hc4oMZc0WCKIxQAUa1E/uIo9NtDVB8+VEGLy+MiH7R+oaqjdK2nJFaReqoYQht6dAeGxUb2S8G4xmxEmUFqbxl9flIBhQP8nVaCLD8DSppLVIXIP0ayqt3o3GFvVVGki+Kz66m1SlNXoWH674Ao3N6o8ryuZEZvJ5Ui9dDb4KIKSDDYPqsgpv/LEScro3eJcu/wAr31uPl599CA67FTMeWIhePdMx7/6pHRq89NAqrNz+bZa82lu90WhGqrO/KGag1SikoaLuIEJG9WNd6UeTHNsPRonfTl1DEbxB9TWTaX6MaNWslWkl7n1w60C+i8q6prgGiCNlmVZRlwN/UH3Jv9YkAAdmAAAQr0lEQVQ4Q7m5qvOWiOxkPehqGk1WJEZnaT7A6KWrvHY/mv0NMtMa1mtIJyQmKgXxEoY8dXRH7lv6kMaLzcSQTFlpvAJsOfAKfC3qz9eQXlehZ/I5mi/+9P5IEnLNIi5U7SY08e2SKg3BIGq9JQBlTineQlT8xNZN6llc21giSnbrYR80m+xIiOp1zLh0b/BefctcjB01DLfceLlYWmvWf4F7Hl6E3euWiTfnoz28bVIojTrIuCYplNioNCTKSKEghEoyNnTg4bXAikQnSSdpH7xSoHzAoH5Sg1h8wRDiZeKtybvmLUTIoL7HkFygpoABcTLlrQF8snMBiqt2K77NAxmJQ3Dx4Hs1DUMaSLWnEPkUVqMDQz7NlY2MxMHaxgaAwupdKKv5Wvm5Mpls6Jk4VOqkq9XDqw95RhPMoORJiW0QNY0FqG0o0UV5a4fdhfS4AZrrip7F1Q2HdfGCTM8qmylaShMfwSDcTSW62N+NQZJbS5c66aquz0NtY7Eu1qDdGo9u8QMjL4Z32LjpeHTWNGH0UtvzzWFc86uH8fl7zyEuNvpYgzcI1DfRxqG+sSE0UA0kr5GuuXlQ3BDJ8ehBzYCkoEgKhcan1eo8ZfD6GxDSQUENh8UOZ3RPzVG1ypIdRosOyiXT/NhMUXBJGLwUypBX/oUuvIY2SzQyk4dLSULVe0vhbfFQ+R6t5Rr2v5sN1lbDUOOnRUMhNQOfX30JOTpOpvAuV7T2PkgTsG7nkyiu2hP2udDqQEbSIIwadLeUwevxlqFFPLJ08NwKBUV8vEwrrNwFyqlRvdEe2LfnqA6LGRzd99bSwvlo9ql/0mW1WJEQnSWFnxSTGn21ungWUxx5QkyvY7ZBXXt4aWENumgKFv3xblx43hli0nIOF+GKyQ/h49efRHpq4jETSXbu1pyN2HnoQ6lJDudFVks0zsu+Dr1TtY9efS0BHK4o1sVDOWQwoHdqT1gkknMPl+fhUMlOXXgB0uP7YmDmYJCc3A818mwcKjuEZp/6BRrolMFhsyIrRbvSGq3BjftWodmn/hGlzerEiAGXwmrWjqs5VJ4Pn49OGdQ3Nmh/G9BDe7+I5H1wT+FunciSWTAw8wypffBQaS7cnhpdGBt2WzSyu2drGvKk0rC3YLcuioRQWE1stAunpfbWNAma/QHkluUhoAOHBoVN9knrJbcPlh7Epr1vwEcv/4q3wb0vxdA+5x/zLNa1wUvMycP72AO/xJgLz+nQw6v4vHD3mAATYAJMgAkwASbABE4xAd0bvBTDe8lFP8Ivb7hMoDo6hvcU8+PbMwEmwASYABNgAkyACShOQPcG75JX38eb738qVBqiHDZMn/XUESoNivPn7jEBJsAEmAATYAJMgAmcYgK6N3g9jU247/fP49//2SFQDerXC88+9mukJLlOMbrIv31tvQfNzS3MMvKnmkcYBgItLX6UV7mRnBAHq9UShh7wV8oSKCmvRmpSPIwy1RRkb8rXdQoByuUJBIMwm45NCgkGQyivqhG6/B39vVM6wDc5LgJUIKyjuaD/r6iqRYIrFrZTtB/q3uBtI03GGT1A2gpOHNcM8MVHEKisrsWkO/+AvMIy8f99MjOE7NvPxpzPpBQm4PO1YNq9C+BtasabSx5RuKddu2u5+SX43YJl2LrrGwFizt2TcP2VF3dtKIqO/qWVa/DqWx+jxe8Xz5fx40binluvVbS3XbNb7330ORYuWYm1KxceAeDTTTuEM4yKU1Gbe+9kXPuzUV0TkiKjzi8qx7gb78e/VjyBjLSk9l7RSf3TS95s/zepbs29ZzLinNGd2vOIMXg7lUoXv1l5pRvvrN6AK8aOQLTDjpff/AjLXl+Nf7/9jCjuwU09AuTl+O38v+Kd1Z9hwOmZbPCqN0WiR2UVNbj4mrsx7uLhuGH8aAw4PQtNzc3HlERXtPtdqltf7z+Ma299GMsWPoAfndUfh/JL8LNJD2L5ojk4I1tbCaNLwQrDYPOLynDLfU+gsKQCqcnxRxi83iYffjz+TtwxdTxunPATrP98O34951mseW0Buqcnh6G3/JUTb5uHnXtyBIijDd6V769Hj4wUnJF9GgqKyzHtnvmYNvEyTL7ukk4FxwZvp+KMzJvRhjJ24m/w8rOzMXRw38gcpM5HRW/IH37yH1z+0/Oxau1mNngVnc8/Pfca3vvX51j3j6f5iFXROWrr1uZtezH17vlY9ep89OyWKv575FUzcf9tE/m0S4G5oyNwOo1c+9k2LF3+/hEGL3l3b3twIbZ9tKQ9XOjSX8wSxu+NE36qQO+7XhfIkVZaXgUyfI82eI+mMedPf0NRSQX+tnBWp4Jig7dTcUbmzd5etUF4Dze886yIr+GmFoGPPv0S8xa+iJVLHsG/N+3AG++tZ4NXrSlq780VN8+Gw24TGuElZVXCGz/95iuQlpygaI+7brfaQoT2HczHndMmoKHRi4/Wb8GLz8yGMyaq64JRbOT0gr/g+RVHGLy0B/799VX48JX57b2d+dCfkdUjHfdO55CUcE1h2wnXDxm8Lf4Axk68D5eNPq/T54oN3nDNvE6+90BuIW647VHcfM1YcTzETS0Cu/blCi8UvQkP7t8Lb/xzHRu8ak3REb0ZOGoyhp81QMSCWq1mLHn1AxFj+O6yx2CxmBXuedfsGp2cUIwovaTs3p8r5C9nTpvA3nmFlkNHBu/S5R9g9bovjnjxp3jemCgHHr5vskK971pdkTF45z6xDB9+shkfvPx4pyfMs8HbtdbbcY22qLQSN818DMPO7I8/PHALTCbtqlTH9QV88UkTmLfwJWz66muMOu9Mca89B/JAsYfXXH4hZtx8JWLZE3XSjDvzBmTwPjPvToweOVTclhLYLp/0IN766zz069OjM7+K73WSBDZs3ilkLje9v0h4dDdu2Y27fvcX3Df9WlzHSYYnSbfzPs4e3s5jearvpGXwLvr7O3ju7+9gxeK5woHT2Y0N3s4mGiH3O5hbhCl3P46LLxgqsshZ0kXNiaWH8t4Dee2d27EnRyQG3HT1GPzi5z9FlMOuZse7aK+oUM5lo8/FlOvHCQJtpdBP1QbfRTF3yrApa3ztZ1vxzxf/0H6/22c/LRJ5/zRneqd8B9/k5Al0ZPC2xfBu/9fS9pMTykOZdM0YjuE9eeQnfIfvM3hJPu7Jxa+L08kX//wAsvtmnfB3/NAH2eA9JVj1fdP9OQWYMG2OeDDT8Z3R2OrZpcIe8XEcw6vy7HJIg8qzA/xtxYdYtmKV8GDERDuw8IWV+OSzr/DRiidZAUWxqaNj1d/Mex6L59+DC340GAXFFUJS6Tczru/07HHFhq6L7pAyjd8fEKELJEu2ZvkCGIwG4Zxp9DZj2LhbMev2ibiBVRqUmE+KzaWktUtuuF/EVpMsmcXcqp1MOUKUK7R4/r3onZne3l9S3+hMZxsbvEosBbU6QW/MFO90dCMd3sdn/0qtznJvjiDABq/aC4ISoWY/vlQoaVCjDf3pR+7AEJa5Um7iyOv0wiv/xDurPkO1ux6xMQ5cMWYEbp8yvv1BrVynu1CH6BTyyikPHTHi7z6j1m7cBkpUa2u/vesmTLxqdBcipNZQh42b3q6JTD2jBHhKhKdG3ndSgzq6kWGc2b1VIaUzGhu8nUGR78EEmAATOA4CdQ2N8Hi8SEtJgMFgOI5P8qXhIFBcWom0lESutBYO+CfxnYFAEKUV1UhJdHFS6ElwjJSPssEbKTPJ42ACTIAJMAEmwASYABPokAAbvLwwmAATYAJMgAkwASbABCKaABu8ET29PDgmwASYABNgAkyACTABNnh5DTABJsAEmAATYAJMgAlENAE2eCN6enlwTIAJMAEmwASYABNgAmzw8hpgAkyACTABJsAEmAATiGgCbPBG9PTy4JgAE2ACTIAJMAEmwATY4OU1wASYABNgAkyACTABJhDRBNjgjejp5cExASbABJgAE2ACTIAJsMHLa4AJMAEmwASYABNgAkwgogmwwRvR08uDYwJMgAkwASbABJgAE2CDl9cAE2ACTIAJMAEmwASYQEQTYIM3oqeXB8cEmAATOHEC3iYfpt4zH3dMGY8Rwwad+I34k0yACTCBMBNggzfME8BfzwSYABNQgcCiF9/Fa29/jA3vPNvenfqGRpx7+W1YMGcGLh09XIVuch+YABNgAidEgA3eE8LGH2ICTIAJRBaB55a9jRXvrmWDN7KmlUfDBJjAtwTY4OWlwASYABNQhMDr767Fpq/24Nyzs7H8rY9RUl6N0SOH4sGZN+LVtz7Gu6s/Q4vfjxvG/wQ3TvgpHHar6HlLix/Pv/QuPvj4PygsqcDwswbg3unXYWC/LPH3HXtysGDRCvG5N95bh6/3H8ZF55+Jm6+9RFyzYfNOzP7jElS763HWoNPFZ64Ycz7GXTxceHhvnzIeh/KK8emmHeh/Wk/cdPUYjLnwHEWocTeYABNgAtoE2ODVZsRXMAEmwAT+JwSeeuEN/PW1D9E9PRlXX34hfL4WUKgBtT6ZGbhq3AWocTfgbys+xJ/nzcRPRp4t/vbwE3/HyvfXi88MOD0TL61cg7zCMqxe/if0yEgRBu30WU+JayddM1b834tvrIbLGYPXX5iLnLxizP/Lcmzcshu/vesmcR0ZtqdldRMGL7XLRp+Lswafjk83bceGzbuw6f1FcMZE/U+48JcwASbABE6WABu8J0uQP88EmAAT6CQCZPC+vWoD/vX6k7DbWr2302c9ieLSKvxj6e9hsZjF/1136yPI7peFuffcjPJKNy66+i5Mvf5S3Dv9WvF3d20DRlx5B26c8BPMvvMX7QYv3YMMWWqfbNiKO+c8g3VvPo2UJBd+KKThoV/fhBvGjxafIy/wyKtm4qmHb8fYUcM6aeR8GybABJjAqSXABu+p5ct3ZwJMgAlIEyCDd836LVjz2oL2z/x2/l9x4FCh8MS2tZkP/VmENiyefy82b9uLqXfPx+L592Dk8CHt11x9y1w47Da8/OzsdoP34zeeQnpKgrhm175cXD/9EaxYPBeD+/f6QYP36KS1gaMm4ze3XY/J114iPTa+kAkwASYQTgJs8IaTPn83E2ACTOA7BDoyeOc+sQz7DuQfYfCSZ5bCHcjgpfAC8gKTYTt0cN/2u02+63E0+1rw2qI5HRq8ew/kgYxiNnh5CTIBJtAVCLDB2xVmmcfIBJiALgiciMFLsbqX/mIW7pg6HjMmXSnGSfq551zyK1w5dgT+8OAtUgbv0uUf4IWX38OWVYvbWX2fLBl7eHWxnLiTTIAJfIcAG7y8HJgAE2ACihA4EYOXuv7L+xZg/8F8zJw6Af1O64kX31iDNeu/wCt/eUioLrQlrX03pOFoD+/OPTmYeNs8PDprGrL7ZsFgMIjwh450eNngVWTBcDeYABOQJsAGrzQqvpAJMAEmcGoJLPy/lVi97osjYnhJgYGM0+/G8N71u7+IcIXnH79bdIgS1x547AURz9vWyHAdP26k+GebwfvJyqeQltwaw9tm8NJ9B/XrhUAgiIfmL8V7H30u/j590hWYct04DL9sxjGFJ8jgvf/2ibj5mrGnFgjfnQkwASbQSQTY4O0kkHwbJsAEmEC4CZA6Q12DBxlpSTCbTCfUnUZvExq9zUiMdwovLzcmwASYQCQQYIM3EmaRx8AEmAATYAJMgAkwASbwvQTY4OXFwQSYABNgAkyACTABJhDRBP4fj7SEzpO9WWwAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.bar(error_stations, x='month', y='count', height = 500,\n",
    "             labels={'Start Station Id':'station ID', 'count':'error time'}, \n",
    "             hover_data={'Start Station Id':True},\n",
    "             title='Station errors by month')\n",
    "\n",
    "fig.update_layout(margin ={'l':50,'b':0,'r':0})\n",
    "fig.update_layout(showlegend=False)\n",
    "#fig.show()\n",
    "fig.show(renderer=\"png\")\n",
    "#fig.write_html(\"visuals/byMon_duration-bar.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "12743ed5",
   "metadata": {},
   "outputs": [],
   "source": [
    "error_stations = error_stations.merge(bikeshare_stations, how='left', \n",
    "                                      left_on='Start Station Id', right_on='station_id')\n",
    "error_stations = error_stations.sort_values('month', ascending=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "467a146b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.density_mapbox(error_stations, lat=\"lat\", lon=\"lon\", \n",
    "                        z=\"count\", radius=10, zoom=11,\n",
    "                        mapbox_style=\"stamen-terrain\",\n",
    "                        hover_data={'lat':False, \n",
    "                                    'lon':False, \n",
    "                                    'month':True,\n",
    "                                    'name':True, \n",
    "                                    'count':True\n",
    "                                    },\n",
    "                        animation_frame=\"month\",\n",
    "                        range_color = [0,30],\n",
    "                        title='Stations with errors distribution by month')\n",
    "\n",
    "fig.update_layout(margin ={'l':50,'b':0,'r':0})\n",
    "#fig.show()\n",
    "fig.show(renderer=\"png\")\n",
    "#fig.write_html(\"visuals/popular-pick-up-stations_byMon.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "16cd7f92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>month</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    month  count\n",
       "0       1    278\n",
       "1       2     79\n",
       "2       3    168\n",
       "3       4    174\n",
       "4       5    217\n",
       "5       6    290\n",
       "6       7    324\n",
       "7       8    296\n",
       "8       9    294\n",
       "9      10    278\n",
       "10     11    176\n",
       "11     12    143"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_stations_byMon = error_stations.groupby('month')['count'].count().reset_index()\n",
    "error_stations_byMon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a9328d19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "alignmentgroup": "True",
         "hovertemplate": "month=%{x}<br>count=%{y}<extra></extra>",
         "legendgroup": "",
         "marker": {
          "color": "#7BA23F",
          "pattern": {
           "shape": ""
          }
         },
         "name": "",
         "offsetgroup": "",
         "orientation": "v",
         "showlegend": false,
         "textposition": "auto",
         "type": "bar",
         "x": [
          1,
          2,
          3,
          4,
          5,
          6,
          7,
          8,
          9,
          10,
          11,
          12
         ],
         "xaxis": "x",
         "y": [
          278,
          79,
          168,
          174,
          217,
          290,
          324,
          296,
          294,
          278,
          176,
          143
         ],
         "yaxis": "y"
        }
       ],
       "layout": {
        "barmode": "relative",
        "height": 500,
        "legend": {
         "tracegroupgap": 0
        },
        "margin": {
         "b": 0,
         "l": 50,
         "r": 0
        },
        "showlegend": false,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
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     "metadata": {},
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   ],
   "source": [
    "fig = px.bar(error_stations_byMon, x='month', y='count', height = 500,\n",
    "             title='Station errors by month')\n",
    "\n",
    "fig.update_layout(margin ={'l':50,'b':0,'r':0})\n",
    "fig.update_layout(showlegend=False)\n",
    "fig.show()\n",
    "#fig.show(renderer=\"png\")\n",
    "#fig.write_html(\"visuals/byMon_duration-bar.html\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8cf3e626",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Start Station Id</th>\n",
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       "      <th>424</th>\n",
       "      <td>7483</td>\n",
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       "<p>578 rows × 2 columns</p>\n",
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      ],
      "text/plain": [
       "    Start Station Id  count\n",
       "159             7171     78\n",
       "378             7430     73\n",
       "16              7016     69\n",
       "76              7076     69\n",
       "186             7203     68\n",
       "..               ...    ...\n",
       "440             7509      1\n",
       "427             7486      1\n",
       "424             7483      1\n",
       "420             7479      1\n",
       "577             7683      1\n",
       "\n",
       "[578 rows x 2 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error_stations_byStation = error_stations.groupby(['Start Station Id'])['count'].sum().reset_index()\n",
    "error_stations_byStation.sort_values(by=\"count\", ascending = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa474f69",
   "metadata": {},
   "source": [
    "### Scenario 2: No End station info\n",
    "and trip duration is not 0; what happened?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c4874e7e",
   "metadata": {},
   "outputs": [
    {
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       "      <th>ï»¿Trip Id</th>\n",
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       "      <td>Sherbourne St / Isabella St</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>3943.0</td>\n",
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       "      <td>Martin Goodman Trail (Marilyn Bell Park)</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>7021</td>\n",
       "      <td>01/03/2021 13:42</td>\n",
       "      <td>Bay St / Albert St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01/03/2021 14:04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5837.0</td>\n",
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       "      <td>Bay St / College St (West Side) - SMART</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10/22/2021 08:51</td>\n",
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       "      <td>14237811.0</td>\n",
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       "      <td>7059</td>\n",
       "      <td>12/17/2021 08:12</td>\n",
       "      <td>Front St W / Blue Jays Way</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12/17/2021 08:34</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2658.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14745756.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95665</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1217</td>\n",
       "      <td>7458</td>\n",
       "      <td>12/17/2021 08:55</td>\n",
       "      <td>Church St / Lombard St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12/17/2021 09:15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1161.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14746106.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125284</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1636</td>\n",
       "      <td>7408</td>\n",
       "      <td>12/25/2021 12:55</td>\n",
       "      <td>University Ave / Armoury St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12/25/2021 13:22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3829.0</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14781646.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>63 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Trip Id  Trip  Duration  Start Station Id        Start Time  \\\n",
       "1878    10646666.0            1336              7203  01/02/2021 09:12   \n",
       "2087    10646906.0             537              7311  01/02/2021 11:57   \n",
       "2117    10646957.0            1347              7227  01/02/2021 12:17   \n",
       "2321    10647173.0            1634              7373  01/02/2021 13:55   \n",
       "4337    10649437.0            1330              7021  01/03/2021 13:42   \n",
       "...            ...             ...               ...               ...   \n",
       "273126         NaN             907              7235  10/22/2021 08:36   \n",
       "343018         NaN            1680              7075  10/29/2021 07:09   \n",
       "95349          NaN            1315              7059  12/17/2021 08:12   \n",
       "95665          NaN            1217              7458  12/17/2021 08:55   \n",
       "125284         NaN            1636              7408  12/25/2021 12:55   \n",
       "\n",
       "                                   Start Station Name  End Station Id  \\\n",
       "1878    Bathurst St/Queens Quay(Billy Bishop Airport)             NaN   \n",
       "2087                      Sherbourne St / Isabella St             NaN   \n",
       "2117         Martin Goodman Trail (Marilyn Bell Park)             NaN   \n",
       "2321                            George St / King St E             NaN   \n",
       "4337                               Bay St / Albert St             NaN   \n",
       "...                                               ...             ...   \n",
       "273126        Bay St / College St (West Side) - SMART             NaN   \n",
       "343018                 Queens Quay W / Dan Leckie Way             NaN   \n",
       "95349                      Front St W / Blue Jays Way             NaN   \n",
       "95665                          Church St / Lombard St             NaN   \n",
       "125284                    University Ave / Armoury St             NaN   \n",
       "\n",
       "                End Time End Station Name  Bike Id      User Type  ï»¿Trip Id  \n",
       "1878    01/02/2021 09:34              NaN   2598.0  Annual Member         NaN  \n",
       "2087    01/02/2021 12:06              NaN   3943.0  Casual Member         NaN  \n",
       "2117    01/02/2021 12:40              NaN   5091.0  Annual Member         NaN  \n",
       "2321    01/02/2021 14:22              NaN   5152.0  Casual Member         NaN  \n",
       "4337    01/03/2021 14:04              NaN   5837.0  Casual Member         NaN  \n",
       "...                  ...              ...      ...            ...         ...  \n",
       "273126  10/22/2021 08:51              NaN   4487.0  Annual Member  14237811.0  \n",
       "343018  10/29/2021 07:37              NaN    325.0  Annual Member  14320458.0  \n",
       "95349   12/17/2021 08:34              NaN   2658.0  Annual Member  14745756.0  \n",
       "95665   12/17/2021 09:15              NaN   1161.0  Annual Member  14746106.0  \n",
       "125284  12/25/2021 13:22              NaN   3829.0  Casual Member  14781646.0  \n",
       "\n",
       "[63 rows x 11 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_station_end = df[(df[\"End Station Id\"].isnull()) & (df[\"Trip  Duration\"] != 0)]\n",
    "df_station_end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f987d61b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "         Trip Id  Trip  Duration  Start Station Id  Start Time  \\\n",
       "Bike Id                                                          \n",
       "59.0           0               1                 1           1   \n",
       "175.0          0               1                 1           1   \n",
       "239.0          0               1                 1           1   \n",
       "325.0          0               1                 1           1   \n",
       "357.0          1               1                 1           1   \n",
       "...          ...             ...               ...         ...   \n",
       "6787.0         1               1                 1           1   \n",
       "6795.0         0               1                 1           1   \n",
       "6822.0         1               1                 1           1   \n",
       "6885.0         0               1                 1           1   \n",
       "6920.0         0               1                 1           1   \n",
       "\n",
       "         Start Station Name  End Station Id  End Time  End Station Name  \\\n",
       "Bike Id                                                                   \n",
       "59.0                      1               0         1                 0   \n",
       "175.0                     1               0         1                 0   \n",
       "239.0                     1               0         1                 0   \n",
       "325.0                     1               0         1                 0   \n",
       "357.0                     1               0         1                 0   \n",
       "...                     ...             ...       ...               ...   \n",
       "6787.0                    1               0         1                 0   \n",
       "6795.0                    1               0         1                 0   \n",
       "6822.0                    1               0         1                 0   \n",
       "6885.0                    1               0         1                 0   \n",
       "6920.0                    1               0         1                 0   \n",
       "\n",
       "         User Type  ï»¿Trip Id  \n",
       "Bike Id                         \n",
       "59.0             1           1  \n",
       "175.0            1           1  \n",
       "239.0            1           1  \n",
       "325.0            1           1  \n",
       "357.0            1           0  \n",
       "...            ...         ...  \n",
       "6787.0           1           0  \n",
       "6795.0           1           1  \n",
       "6822.0           1           0  \n",
       "6885.0           1           1  \n",
       "6920.0           1           1  \n",
       "\n",
       "[62 rows x 10 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_station_end.groupby(\"Bike Id\").count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d08c2286",
   "metadata": {},
   "source": [
    "### Scenario 3: No bike info\n",
    "Something wrong with the stations?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "39a55aee",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Dundas St E / Regent Park Blvd</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>Annual Member</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Housey St / Dan Leckie Way - SMART</td>\n",
       "      <td>7261.0</td>\n",
       "      <td>01/01/2021 10:50</td>\n",
       "      <td>Queens Quay E / Lower Sherbourne St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>10741858.0</td>\n",
       "      <td>495</td>\n",
       "      <td>7246</td>\n",
       "      <td>01/29/2021 08:38</td>\n",
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       "      <td>7005.0</td>\n",
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       "      <td>King St W / York St</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>10741985.0</td>\n",
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       "      <td>7005</td>\n",
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       "      <td>King St W / York St</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>7052</td>\n",
       "      <td>01/29/2021 15:01</td>\n",
       "      <td>Wellington St W / Bay St</td>\n",
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       "      <td>01/29/2021 15:16</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>732</td>\n",
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       "      <td>01/29/2021 17:42</td>\n",
       "      <td>Eglinton Ave E / Redpath Ave</td>\n",
       "      <td>7595.0</td>\n",
       "      <td>01/29/2021 17:54</td>\n",
       "      <td>Moore Park</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>203 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Trip Id  Trip  Duration  Start Station Id        Start Time  \\\n",
       "61     10644283.0            1166              7635  01/01/2021 00:47   \n",
       "136    10644377.0            1405              7535  01/01/2021 02:00   \n",
       "213    10644486.0            1243              7100  01/01/2021 06:33   \n",
       "271    10644583.0             643              7475  01/01/2021 08:20   \n",
       "391    10644749.0             559              7533  01/01/2021 10:40   \n",
       "...           ...             ...               ...               ...   \n",
       "80682  10741858.0             495              7246  01/29/2021 08:38   \n",
       "80796  10741985.0             119              7005  01/29/2021 10:04   \n",
       "81363  10742657.0             842              7052  01/29/2021 15:01   \n",
       "81400  10742697.0            1192              7025  01/29/2021 15:16   \n",
       "81810  10743162.0             732              7620  01/29/2021 17:42   \n",
       "\n",
       "                        Start Station Name  End Station Id          End Time  \\\n",
       "61       Runnymede Rd / Annette St - SMART          7535.0  01/01/2021 01:06   \n",
       "136    Wolsley St / Palmerston Ave - SMART          7100.0  01/01/2021 02:23   \n",
       "213         Dundas St E / Regent Park Blvd          7475.0  01/01/2021 06:54   \n",
       "271              Jarvis St / Richmond St E          7533.0  01/01/2021 08:30   \n",
       "391     Housey St / Dan Leckie Way - SMART          7261.0  01/01/2021 10:50   \n",
       "...                                    ...             ...               ...   \n",
       "80682                  Yonge St / Bloor St          7005.0  01/29/2021 08:46   \n",
       "80796                  King St W / York St          7052.0  01/29/2021 10:06   \n",
       "81363             Wellington St W / Bay St          7025.0  01/29/2021 15:15   \n",
       "81400          Ted Rogers Way / Bloor St E          7620.0  01/29/2021 15:35   \n",
       "81810         Eglinton Ave E / Redpath Ave          7595.0  01/29/2021 17:54   \n",
       "\n",
       "                          End Station Name  Bike Id      User Type  ï»¿Trip Id  \n",
       "61     Wolsley St / Palmerston Ave - SMART      NaN  Annual Member         NaN  \n",
       "136         Dundas St E / Regent Park Blvd      NaN  Annual Member         NaN  \n",
       "213              Jarvis St / Richmond St E      NaN  Annual Member         NaN  \n",
       "271     Housey St / Dan Leckie Way - SMART      NaN  Annual Member         NaN  \n",
       "391    Queens Quay E / Lower Sherbourne St      NaN  Annual Member         NaN  \n",
       "...                                    ...      ...            ...         ...  \n",
       "80682                  King St W / York St      NaN  Casual Member         NaN  \n",
       "80796             Wellington St W / Bay St      NaN  Casual Member         NaN  \n",
       "81363          Ted Rogers Way / Bloor St E      NaN  Casual Member         NaN  \n",
       "81400         Eglinton Ave E / Redpath Ave      NaN  Casual Member         NaN  \n",
       "81810                           Moore Park      NaN  Annual Member         NaN  \n",
       "\n",
       "[203 rows x 11 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_bike = df[df[\"Bike Id\"].isnull()]\n",
    "df_bike"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f9f422ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "df01 = df[df[\"Trip  Duration\"] != 0]\n",
    "df01 = df01[df01[\"End Station Id\"].notnull()]\n",
    "df01 = df01[df01[\"Bike Id\"].notnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4ba714e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df01['Start Time'] = pd.to_datetime(df01['Start Time'])\n",
    "df01['End Time'] = pd.to_datetime(df01['End Time'])\n",
    "df01['Trip Id'] = df01['Trip Id'].astype(\"string\")\n",
    "df01['Start Station Id'] = df01['Start Station Id'].astype(\"string\")\n",
    "df01['End Station Id'] = df01['End Station Id'].astype(\"int\")\n",
    "df01['End Station Id'] = df01['End Station Id'].astype(\"string\")\n",
    "df01['Bike Id'] = df01['Bike Id'].astype(\"int\")\n",
    "df01['Bike Id'] = df01['Bike Id'].astype(\"string\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e2943d60",
   "metadata": {},
   "outputs": [],
   "source": [
    "df01[\"routes\"] = df01[\"Start Station Id\"].str.cat(\"-\" + df01[\"End Station Id\"])\n",
    "routes = df01[['Start Station Id', 'End Station Id', \"routes\"]].drop_duplicates()\n",
    "routes = routes.merge(bikeshare_stations, how='inner', left_on='Start Station Id', right_on='station_id') \\\n",
    "       .merge(bikeshare_stations, how='inner', left_on='End Station Id', right_on='station_id', suffixes=['_start', '_end']) \\\n",
    "       .drop_duplicates()\n",
    "routes['distance'] = routes.apply(lambda x: distance.distance((x['lat_start'], x['lon_start']), (x['lat_end'], x['lon_end'])).m, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "bd5681ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "df01 = df01.merge(routes[['routes', 'distance']], how='left', on='routes')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "ce002500",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Trip Id</th>\n",
       "      <th>Trip  Duration</th>\n",
       "      <th>Start Station Id</th>\n",
       "      <th>Start Time</th>\n",
       "      <th>Start Station Name</th>\n",
       "      <th>End Station Id</th>\n",
       "      <th>End Time</th>\n",
       "      <th>End Station Name</th>\n",
       "      <th>Bike Id</th>\n",
       "      <th>User Type</th>\n",
       "      <th>ï»¿Trip Id</th>\n",
       "      <th>routes</th>\n",
       "      <th>distance_x</th>\n",
       "      <th>avg_speed</th>\n",
       "      <th>distance_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10644218.0</td>\n",
       "      <td>1315</td>\n",
       "      <td>7021</td>\n",
       "      <td>2021-01-01 00:04:00</td>\n",
       "      <td>Bay St / Albert St</td>\n",
       "      <td>7164</td>\n",
       "      <td>2021-01-01 00:26:00</td>\n",
       "      <td>Gould St / Yonge St (Ryerson University)</td>\n",
       "      <td>6795</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7021-7164</td>\n",
       "      <td>476.553315</td>\n",
       "      <td>0.362398</td>\n",
       "      <td>476.553315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10644220.0</td>\n",
       "      <td>396</td>\n",
       "      <td>7534</td>\n",
       "      <td>2021-01-01 00:07:00</td>\n",
       "      <td>Walnut Ave / Queen St W</td>\n",
       "      <td>7524</td>\n",
       "      <td>2021-01-01 00:13:00</td>\n",
       "      <td>Lisgar Park</td>\n",
       "      <td>4176</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7534-7524</td>\n",
       "      <td>1099.138396</td>\n",
       "      <td>2.775602</td>\n",
       "      <td>1099.138396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10644221.0</td>\n",
       "      <td>86</td>\n",
       "      <td>7162</td>\n",
       "      <td>2021-01-01 00:10:00</td>\n",
       "      <td>Hayter St / Laplante Ave</td>\n",
       "      <td>7006</td>\n",
       "      <td>2021-01-01 00:11:00</td>\n",
       "      <td>Bay St / College St (East Side)</td>\n",
       "      <td>1814</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7162-7006</td>\n",
       "      <td>141.384845</td>\n",
       "      <td>1.644010</td>\n",
       "      <td>141.384845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10644222.0</td>\n",
       "      <td>741</td>\n",
       "      <td>7003</td>\n",
       "      <td>2021-01-01 00:10:00</td>\n",
       "      <td>Madison Ave / Bloor St W</td>\n",
       "      <td>7272</td>\n",
       "      <td>2021-01-01 00:22:00</td>\n",
       "      <td>Yonge St / Dundonald St - SMART</td>\n",
       "      <td>198</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7003-7272</td>\n",
       "      <td>1456.774345</td>\n",
       "      <td>1.965957</td>\n",
       "      <td>1456.774345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10644223.0</td>\n",
       "      <td>2073</td>\n",
       "      <td>7562</td>\n",
       "      <td>2021-01-01 00:11:00</td>\n",
       "      <td>Priscilla  Ave / Dundas St W - SMART</td>\n",
       "      <td>7562</td>\n",
       "      <td>2021-01-01 00:45:00</td>\n",
       "      <td>Priscilla  Ave / Dundas St W - SMART</td>\n",
       "      <td>6688</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7562-7562</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474282</th>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>372</td>\n",
       "      <td>7065</td>\n",
       "      <td>2021-12-31 23:56:00</td>\n",
       "      <td>Dundas St E / Parliament St</td>\n",
       "      <td>7472</td>\n",
       "      <td>2022-01-01 00:02:00</td>\n",
       "      <td>Dundas St E / Victoria St</td>\n",
       "      <td>3487</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14805103.0</td>\n",
       "      <td>7065-7472</td>\n",
       "      <td>1139.289693</td>\n",
       "      <td>3.062607</td>\n",
       "      <td>1139.289693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474283</th>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>762</td>\n",
       "      <td>7233</td>\n",
       "      <td>2021-12-31 23:56:00</td>\n",
       "      <td>King / Cowan Ave - SMART</td>\n",
       "      <td>7569</td>\n",
       "      <td>2022-01-01 00:08:00</td>\n",
       "      <td>Toronto Inukshuk Park</td>\n",
       "      <td>4195</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14805104.0</td>\n",
       "      <td>7233-7569</td>\n",
       "      <td>1874.712417</td>\n",
       "      <td>2.460253</td>\n",
       "      <td>1874.712417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474284</th>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>355</td>\n",
       "      <td>7065</td>\n",
       "      <td>2021-12-31 23:56:00</td>\n",
       "      <td>Dundas St E / Parliament St</td>\n",
       "      <td>7472</td>\n",
       "      <td>2022-01-01 00:02:00</td>\n",
       "      <td>Dundas St E / Victoria St</td>\n",
       "      <td>4574</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14805105.0</td>\n",
       "      <td>7065-7472</td>\n",
       "      <td>1139.289693</td>\n",
       "      <td>3.209267</td>\n",
       "      <td>1139.289693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474285</th>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>770</td>\n",
       "      <td>7292</td>\n",
       "      <td>2021-12-31 23:56:00</td>\n",
       "      <td>Granby St / Church St - SMART</td>\n",
       "      <td>7076</td>\n",
       "      <td>2022-01-01 00:09:00</td>\n",
       "      <td>York St / Queens Quay W</td>\n",
       "      <td>5879</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14805107.0</td>\n",
       "      <td>7292-7076</td>\n",
       "      <td>2372.875659</td>\n",
       "      <td>3.081657</td>\n",
       "      <td>2372.875659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474286</th>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1307</td>\n",
       "      <td>7057</td>\n",
       "      <td>2021-12-31 23:59:00</td>\n",
       "      <td>Simcoe St / Wellington St South</td>\n",
       "      <td>7383</td>\n",
       "      <td>2022-01-01 00:21:00</td>\n",
       "      <td>12 Harbour St</td>\n",
       "      <td>1655</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14805108.0</td>\n",
       "      <td>7057-7383</td>\n",
       "      <td>825.073355</td>\n",
       "      <td>0.631273</td>\n",
       "      <td>825.073355</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3474287 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Trip Id  Trip  Duration Start Station Id          Start Time  \\\n",
       "0        10644218.0            1315             7021 2021-01-01 00:04:00   \n",
       "1        10644220.0             396             7534 2021-01-01 00:07:00   \n",
       "2        10644221.0              86             7162 2021-01-01 00:10:00   \n",
       "3        10644222.0             741             7003 2021-01-01 00:10:00   \n",
       "4        10644223.0            2073             7562 2021-01-01 00:11:00   \n",
       "...             ...             ...              ...                 ...   \n",
       "3474282        <NA>             372             7065 2021-12-31 23:56:00   \n",
       "3474283        <NA>             762             7233 2021-12-31 23:56:00   \n",
       "3474284        <NA>             355             7065 2021-12-31 23:56:00   \n",
       "3474285        <NA>             770             7292 2021-12-31 23:56:00   \n",
       "3474286        <NA>            1307             7057 2021-12-31 23:59:00   \n",
       "\n",
       "                           Start Station Name End Station Id  \\\n",
       "0                          Bay St / Albert St           7164   \n",
       "1                     Walnut Ave / Queen St W           7524   \n",
       "2                    Hayter St / Laplante Ave           7006   \n",
       "3                    Madison Ave / Bloor St W           7272   \n",
       "4        Priscilla  Ave / Dundas St W - SMART           7562   \n",
       "...                                       ...            ...   \n",
       "3474282           Dundas St E / Parliament St           7472   \n",
       "3474283              King / Cowan Ave - SMART           7569   \n",
       "3474284           Dundas St E / Parliament St           7472   \n",
       "3474285         Granby St / Church St - SMART           7076   \n",
       "3474286       Simcoe St / Wellington St South           7383   \n",
       "\n",
       "                   End Time                          End Station Name Bike Id  \\\n",
       "0       2021-01-01 00:26:00  Gould St / Yonge St (Ryerson University)    6795   \n",
       "1       2021-01-01 00:13:00                               Lisgar Park    4176   \n",
       "2       2021-01-01 00:11:00           Bay St / College St (East Side)    1814   \n",
       "3       2021-01-01 00:22:00           Yonge St / Dundonald St - SMART     198   \n",
       "4       2021-01-01 00:45:00      Priscilla  Ave / Dundas St W - SMART    6688   \n",
       "...                     ...                                       ...     ...   \n",
       "3474282 2022-01-01 00:02:00                 Dundas St E / Victoria St    3487   \n",
       "3474283 2022-01-01 00:08:00                     Toronto Inukshuk Park    4195   \n",
       "3474284 2022-01-01 00:02:00                 Dundas St E / Victoria St    4574   \n",
       "3474285 2022-01-01 00:09:00                   York St / Queens Quay W    5879   \n",
       "3474286 2022-01-01 00:21:00                             12 Harbour St    1655   \n",
       "\n",
       "             User Type  ï»¿Trip Id     routes   distance_x  avg_speed  \\\n",
       "0        Annual Member         NaN  7021-7164   476.553315   0.362398   \n",
       "1        Casual Member         NaN  7534-7524  1099.138396   2.775602   \n",
       "2        Annual Member         NaN  7162-7006   141.384845   1.644010   \n",
       "3        Casual Member         NaN  7003-7272  1456.774345   1.965957   \n",
       "4        Casual Member         NaN  7562-7562     0.000000   0.000000   \n",
       "...                ...         ...        ...          ...        ...   \n",
       "3474282  Casual Member  14805103.0  7065-7472  1139.289693   3.062607   \n",
       "3474283  Annual Member  14805104.0  7233-7569  1874.712417   2.460253   \n",
       "3474284  Casual Member  14805105.0  7065-7472  1139.289693   3.209267   \n",
       "3474285  Annual Member  14805107.0  7292-7076  2372.875659   3.081657   \n",
       "3474286  Annual Member  14805108.0  7057-7383   825.073355   0.631273   \n",
       "\n",
       "          distance_y  \n",
       "0         476.553315  \n",
       "1        1099.138396  \n",
       "2         141.384845  \n",
       "3        1456.774345  \n",
       "4           0.000000  \n",
       "...              ...  \n",
       "3474282  1139.289693  \n",
       "3474283  1874.712417  \n",
       "3474284  1139.289693  \n",
       "3474285  2372.875659  \n",
       "3474286   825.073355  \n",
       "\n",
       "[3474287 rows x 15 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "10440d6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Start Station Name</th>\n",
       "      <th>End Station Id</th>\n",
       "      <th>End Time</th>\n",
       "      <th>End Station Name</th>\n",
       "      <th>Bike Id</th>\n",
       "      <th>User Type</th>\n",
       "      <th>ï»¿Trip Id</th>\n",
       "      <th>routes</th>\n",
       "      <th>distance_x</th>\n",
       "      <th>avg_speed</th>\n",
       "      <th>distance_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10644218.0</td>\n",
       "      <td>1315</td>\n",
       "      <td>7021</td>\n",
       "      <td>2021-01-01 00:04:00</td>\n",
       "      <td>Bay St / Albert St</td>\n",
       "      <td>7164</td>\n",
       "      <td>2021-01-01 00:26:00</td>\n",
       "      <td>Gould St / Yonge St (Ryerson University)</td>\n",
       "      <td>6795</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7021-7164</td>\n",
       "      <td>476.553315</td>\n",
       "      <td>0.362398</td>\n",
       "      <td>476.553315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10644220.0</td>\n",
       "      <td>396</td>\n",
       "      <td>7534</td>\n",
       "      <td>2021-01-01 00:07:00</td>\n",
       "      <td>Walnut Ave / Queen St W</td>\n",
       "      <td>7524</td>\n",
       "      <td>2021-01-01 00:13:00</td>\n",
       "      <td>Lisgar Park</td>\n",
       "      <td>4176</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7534-7524</td>\n",
       "      <td>1099.138396</td>\n",
       "      <td>2.775602</td>\n",
       "      <td>1099.138396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10644221.0</td>\n",
       "      <td>86</td>\n",
       "      <td>7162</td>\n",
       "      <td>2021-01-01 00:10:00</td>\n",
       "      <td>Hayter St / Laplante Ave</td>\n",
       "      <td>7006</td>\n",
       "      <td>2021-01-01 00:11:00</td>\n",
       "      <td>Bay St / College St (East Side)</td>\n",
       "      <td>1814</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7162-7006</td>\n",
       "      <td>141.384845</td>\n",
       "      <td>1.644010</td>\n",
       "      <td>141.384845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10644222.0</td>\n",
       "      <td>741</td>\n",
       "      <td>7003</td>\n",
       "      <td>2021-01-01 00:10:00</td>\n",
       "      <td>Madison Ave / Bloor St W</td>\n",
       "      <td>7272</td>\n",
       "      <td>2021-01-01 00:22:00</td>\n",
       "      <td>Yonge St / Dundonald St - SMART</td>\n",
       "      <td>198</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7003-7272</td>\n",
       "      <td>1456.774345</td>\n",
       "      <td>1.965957</td>\n",
       "      <td>1456.774345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10644223.0</td>\n",
       "      <td>2073</td>\n",
       "      <td>7562</td>\n",
       "      <td>2021-01-01 00:11:00</td>\n",
       "      <td>Priscilla  Ave / Dundas St W - SMART</td>\n",
       "      <td>7562</td>\n",
       "      <td>2021-01-01 00:45:00</td>\n",
       "      <td>Priscilla  Ave / Dundas St W - SMART</td>\n",
       "      <td>6688</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7562-7562</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474282</th>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>372</td>\n",
       "      <td>7065</td>\n",
       "      <td>2021-12-31 23:56:00</td>\n",
       "      <td>Dundas St E / Parliament St</td>\n",
       "      <td>7472</td>\n",
       "      <td>2022-01-01 00:02:00</td>\n",
       "      <td>Dundas St E / Victoria St</td>\n",
       "      <td>3487</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14805103.0</td>\n",
       "      <td>7065-7472</td>\n",
       "      <td>1139.289693</td>\n",
       "      <td>3.062607</td>\n",
       "      <td>1139.289693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474283</th>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>762</td>\n",
       "      <td>7233</td>\n",
       "      <td>2021-12-31 23:56:00</td>\n",
       "      <td>King / Cowan Ave - SMART</td>\n",
       "      <td>7569</td>\n",
       "      <td>2022-01-01 00:08:00</td>\n",
       "      <td>Toronto Inukshuk Park</td>\n",
       "      <td>4195</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14805104.0</td>\n",
       "      <td>7233-7569</td>\n",
       "      <td>1874.712417</td>\n",
       "      <td>2.460253</td>\n",
       "      <td>1874.712417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474284</th>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>355</td>\n",
       "      <td>7065</td>\n",
       "      <td>2021-12-31 23:56:00</td>\n",
       "      <td>Dundas St E / Parliament St</td>\n",
       "      <td>7472</td>\n",
       "      <td>2022-01-01 00:02:00</td>\n",
       "      <td>Dundas St E / Victoria St</td>\n",
       "      <td>4574</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14805105.0</td>\n",
       "      <td>7065-7472</td>\n",
       "      <td>1139.289693</td>\n",
       "      <td>3.209267</td>\n",
       "      <td>1139.289693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474285</th>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>770</td>\n",
       "      <td>7292</td>\n",
       "      <td>2021-12-31 23:56:00</td>\n",
       "      <td>Granby St / Church St - SMART</td>\n",
       "      <td>7076</td>\n",
       "      <td>2022-01-01 00:09:00</td>\n",
       "      <td>York St / Queens Quay W</td>\n",
       "      <td>5879</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14805107.0</td>\n",
       "      <td>7292-7076</td>\n",
       "      <td>2372.875659</td>\n",
       "      <td>3.081657</td>\n",
       "      <td>2372.875659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474286</th>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>1307</td>\n",
       "      <td>7057</td>\n",
       "      <td>2021-12-31 23:59:00</td>\n",
       "      <td>Simcoe St / Wellington St South</td>\n",
       "      <td>7383</td>\n",
       "      <td>2022-01-01 00:21:00</td>\n",
       "      <td>12 Harbour St</td>\n",
       "      <td>1655</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14805108.0</td>\n",
       "      <td>7057-7383</td>\n",
       "      <td>825.073355</td>\n",
       "      <td>0.631273</td>\n",
       "      <td>825.073355</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3474287 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Trip Id  Trip  Duration Start Station Id          Start Time  \\\n",
       "0        10644218.0            1315             7021 2021-01-01 00:04:00   \n",
       "1        10644220.0             396             7534 2021-01-01 00:07:00   \n",
       "2        10644221.0              86             7162 2021-01-01 00:10:00   \n",
       "3        10644222.0             741             7003 2021-01-01 00:10:00   \n",
       "4        10644223.0            2073             7562 2021-01-01 00:11:00   \n",
       "...             ...             ...              ...                 ...   \n",
       "3474282        <NA>             372             7065 2021-12-31 23:56:00   \n",
       "3474283        <NA>             762             7233 2021-12-31 23:56:00   \n",
       "3474284        <NA>             355             7065 2021-12-31 23:56:00   \n",
       "3474285        <NA>             770             7292 2021-12-31 23:56:00   \n",
       "3474286        <NA>            1307             7057 2021-12-31 23:59:00   \n",
       "\n",
       "                           Start Station Name End Station Id  \\\n",
       "0                          Bay St / Albert St           7164   \n",
       "1                     Walnut Ave / Queen St W           7524   \n",
       "2                    Hayter St / Laplante Ave           7006   \n",
       "3                    Madison Ave / Bloor St W           7272   \n",
       "4        Priscilla  Ave / Dundas St W - SMART           7562   \n",
       "...                                       ...            ...   \n",
       "3474282           Dundas St E / Parliament St           7472   \n",
       "3474283              King / Cowan Ave - SMART           7569   \n",
       "3474284           Dundas St E / Parliament St           7472   \n",
       "3474285         Granby St / Church St - SMART           7076   \n",
       "3474286       Simcoe St / Wellington St South           7383   \n",
       "\n",
       "                   End Time                          End Station Name Bike Id  \\\n",
       "0       2021-01-01 00:26:00  Gould St / Yonge St (Ryerson University)    6795   \n",
       "1       2021-01-01 00:13:00                               Lisgar Park    4176   \n",
       "2       2021-01-01 00:11:00           Bay St / College St (East Side)    1814   \n",
       "3       2021-01-01 00:22:00           Yonge St / Dundonald St - SMART     198   \n",
       "4       2021-01-01 00:45:00      Priscilla  Ave / Dundas St W - SMART    6688   \n",
       "...                     ...                                       ...     ...   \n",
       "3474282 2022-01-01 00:02:00                 Dundas St E / Victoria St    3487   \n",
       "3474283 2022-01-01 00:08:00                     Toronto Inukshuk Park    4195   \n",
       "3474284 2022-01-01 00:02:00                 Dundas St E / Victoria St    4574   \n",
       "3474285 2022-01-01 00:09:00                   York St / Queens Quay W    5879   \n",
       "3474286 2022-01-01 00:21:00                             12 Harbour St    1655   \n",
       "\n",
       "             User Type  ï»¿Trip Id     routes   distance_x  avg_speed  \\\n",
       "0        Annual Member         NaN  7021-7164   476.553315   0.362398   \n",
       "1        Casual Member         NaN  7534-7524  1099.138396   2.775602   \n",
       "2        Annual Member         NaN  7162-7006   141.384845   1.644010   \n",
       "3        Casual Member         NaN  7003-7272  1456.774345   1.965957   \n",
       "4        Casual Member         NaN  7562-7562     0.000000   0.000000   \n",
       "...                ...         ...        ...          ...        ...   \n",
       "3474282  Casual Member  14805103.0  7065-7472  1139.289693   3.062607   \n",
       "3474283  Annual Member  14805104.0  7233-7569  1874.712417   2.460253   \n",
       "3474284  Casual Member  14805105.0  7065-7472  1139.289693   3.209267   \n",
       "3474285  Annual Member  14805107.0  7292-7076  2372.875659   3.081657   \n",
       "3474286  Annual Member  14805108.0  7057-7383   825.073355   0.631273   \n",
       "\n",
       "          distance_y  \n",
       "0         476.553315  \n",
       "1        1099.138396  \n",
       "2         141.384845  \n",
       "3        1456.774345  \n",
       "4           0.000000  \n",
       "...              ...  \n",
       "3474282  1139.289693  \n",
       "3474283  1874.712417  \n",
       "3474284  1139.289693  \n",
       "3474285  2372.875659  \n",
       "3474286   825.073355  \n",
       "\n",
       "[3474287 rows x 15 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df01[\"avg_speed\"] = df01[\"distance_x\"]/ (df01[\"Trip  Duration\"])\n",
    "df01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "69379961",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_trouble_2 = df01[df01[\"distance_x\"] == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "d04af89f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_trouble_3 = df01[(df01[\"avg_speed\"] > 30) & (df01[\"Trip  Duration\"] == 2)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "a0bc533b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Trip Id</th>\n",
       "      <th>Trip  Duration</th>\n",
       "      <th>Start Station Id</th>\n",
       "      <th>Start Time</th>\n",
       "      <th>Start Station Name</th>\n",
       "      <th>End Station Id</th>\n",
       "      <th>End Time</th>\n",
       "      <th>End Station Name</th>\n",
       "      <th>Bike Id</th>\n",
       "      <th>User Type</th>\n",
       "      <th>ï»¿Trip Id</th>\n",
       "      <th>routes</th>\n",
       "      <th>distance_x</th>\n",
       "      <th>avg_speed</th>\n",
       "      <th>distance_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>10644283.0</td>\n",
       "      <td>1166</td>\n",
       "      <td>7635</td>\n",
       "      <td>01/01/2021 00:47</td>\n",
       "      <td>Runnymede Rd / Annette St - SMART</td>\n",
       "      <td>7535.0</td>\n",
       "      <td>01/01/2021 01:06</td>\n",
       "      <td>Wolsley St / Palmerston Ave - SMART</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>10644377.0</td>\n",
       "      <td>1405</td>\n",
       "      <td>7535</td>\n",
       "      <td>01/01/2021 02:00</td>\n",
       "      <td>Wolsley St / Palmerston Ave - SMART</td>\n",
       "      <td>7100.0</td>\n",
       "      <td>01/01/2021 02:23</td>\n",
       "      <td>Dundas St E / Regent Park Blvd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>10644486.0</td>\n",
       "      <td>1243</td>\n",
       "      <td>7100</td>\n",
       "      <td>01/01/2021 06:33</td>\n",
       "      <td>Dundas St E / Regent Park Blvd</td>\n",
       "      <td>7475.0</td>\n",
       "      <td>01/01/2021 06:54</td>\n",
       "      <td>Jarvis St / Richmond St E</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>10644583.0</td>\n",
       "      <td>643</td>\n",
       "      <td>7475</td>\n",
       "      <td>01/01/2021 08:20</td>\n",
       "      <td>Jarvis St / Richmond St E</td>\n",
       "      <td>7533.0</td>\n",
       "      <td>01/01/2021 08:30</td>\n",
       "      <td>Housey St / Dan Leckie Way - SMART</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>10644662.0</td>\n",
       "      <td>0</td>\n",
       "      <td>7470</td>\n",
       "      <td>01/01/2021 09:41</td>\n",
       "      <td>York St / Lake Shore Blvd W</td>\n",
       "      <td>NaN</td>\n",
       "      <td>01/01/2021 09:41</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5761.0</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>NaN</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474265</th>\n",
       "      <td>NaN</td>\n",
       "      <td>113</td>\n",
       "      <td>7252</td>\n",
       "      <td>2021-12-31 23:50:00</td>\n",
       "      <td>Robert St / Bloor St W - SMART</td>\n",
       "      <td>7252</td>\n",
       "      <td>2021-12-31 23:52:00</td>\n",
       "      <td>Robert St / Bloor St W - SMART</td>\n",
       "      <td>2264</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14805085.0</td>\n",
       "      <td>7252-7252</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474267</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2403</td>\n",
       "      <td>7030</td>\n",
       "      <td>2021-12-31 23:51:00</td>\n",
       "      <td>Bay St / Wellesley St W</td>\n",
       "      <td>7030</td>\n",
       "      <td>2022-01-01 00:31:00</td>\n",
       "      <td>Bay St / Wellesley St W</td>\n",
       "      <td>3717</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14805087.0</td>\n",
       "      <td>7030-7030</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474273</th>\n",
       "      <td>NaN</td>\n",
       "      <td>892</td>\n",
       "      <td>7336</td>\n",
       "      <td>2021-12-31 23:52:00</td>\n",
       "      <td>Queen St E / Alton Av</td>\n",
       "      <td>7336</td>\n",
       "      <td>2022-01-01 00:07:00</td>\n",
       "      <td>Queen St E / Alton Av</td>\n",
       "      <td>4733</td>\n",
       "      <td>Annual Member</td>\n",
       "      <td>14805094.0</td>\n",
       "      <td>7336-7336</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474275</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2987</td>\n",
       "      <td>7252</td>\n",
       "      <td>2021-12-31 23:53:00</td>\n",
       "      <td>Robert St / Bloor St W - SMART</td>\n",
       "      <td>7252</td>\n",
       "      <td>2022-01-01 00:43:00</td>\n",
       "      <td>Robert St / Bloor St W - SMART</td>\n",
       "      <td>5793</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14805096.0</td>\n",
       "      <td>7252-7252</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3474276</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1741</td>\n",
       "      <td>7416</td>\n",
       "      <td>2021-12-31 23:53:00</td>\n",
       "      <td>Spadina Ave / Blue Jays Way</td>\n",
       "      <td>7416</td>\n",
       "      <td>2022-01-01 00:22:00</td>\n",
       "      <td>Spadina Ave / Blue Jays Way</td>\n",
       "      <td>1947</td>\n",
       "      <td>Casual Member</td>\n",
       "      <td>14805097.0</td>\n",
       "      <td>7416-7416</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>187699 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Trip Id  Trip  Duration Start Station Id           Start Time  \\\n",
       "61       10644283.0            1166             7635     01/01/2021 00:47   \n",
       "136      10644377.0            1405             7535     01/01/2021 02:00   \n",
       "213      10644486.0            1243             7100     01/01/2021 06:33   \n",
       "271      10644583.0             643             7475     01/01/2021 08:20   \n",
       "333      10644662.0               0             7470     01/01/2021 09:41   \n",
       "...             ...             ...              ...                  ...   \n",
       "3474265         NaN             113             7252  2021-12-31 23:50:00   \n",
       "3474267         NaN            2403             7030  2021-12-31 23:51:00   \n",
       "3474273         NaN             892             7336  2021-12-31 23:52:00   \n",
       "3474275         NaN            2987             7252  2021-12-31 23:53:00   \n",
       "3474276         NaN            1741             7416  2021-12-31 23:53:00   \n",
       "\n",
       "                          Start Station Name End Station Id  \\\n",
       "61         Runnymede Rd / Annette St - SMART         7535.0   \n",
       "136      Wolsley St / Palmerston Ave - SMART         7100.0   \n",
       "213           Dundas St E / Regent Park Blvd         7475.0   \n",
       "271                Jarvis St / Richmond St E         7533.0   \n",
       "333              York St / Lake Shore Blvd W            NaN   \n",
       "...                                      ...            ...   \n",
       "3474265       Robert St / Bloor St W - SMART           7252   \n",
       "3474267              Bay St / Wellesley St W           7030   \n",
       "3474273                Queen St E / Alton Av           7336   \n",
       "3474275       Robert St / Bloor St W - SMART           7252   \n",
       "3474276          Spadina Ave / Blue Jays Way           7416   \n",
       "\n",
       "                    End Time                     End Station Name Bike Id  \\\n",
       "61          01/01/2021 01:06  Wolsley St / Palmerston Ave - SMART     NaN   \n",
       "136         01/01/2021 02:23       Dundas St E / Regent Park Blvd     NaN   \n",
       "213         01/01/2021 06:54            Jarvis St / Richmond St E     NaN   \n",
       "271         01/01/2021 08:30   Housey St / Dan Leckie Way - SMART     NaN   \n",
       "333         01/01/2021 09:41                                  NaN  5761.0   \n",
       "...                      ...                                  ...     ...   \n",
       "3474265  2021-12-31 23:52:00       Robert St / Bloor St W - SMART    2264   \n",
       "3474267  2022-01-01 00:31:00              Bay St / Wellesley St W    3717   \n",
       "3474273  2022-01-01 00:07:00                Queen St E / Alton Av    4733   \n",
       "3474275  2022-01-01 00:43:00       Robert St / Bloor St W - SMART    5793   \n",
       "3474276  2022-01-01 00:22:00          Spadina Ave / Blue Jays Way    1947   \n",
       "\n",
       "             User Type  ï»¿Trip Id     routes  distance_x  avg_speed  \\\n",
       "61       Annual Member         NaN       <NA>         NaN        NaN   \n",
       "136      Annual Member         NaN       <NA>         NaN        NaN   \n",
       "213      Annual Member         NaN       <NA>         NaN        NaN   \n",
       "271      Annual Member         NaN       <NA>         NaN        NaN   \n",
       "333      Annual Member         NaN       <NA>         NaN        NaN   \n",
       "...                ...         ...        ...         ...        ...   \n",
       "3474265  Casual Member  14805085.0  7252-7252         0.0        0.0   \n",
       "3474267  Annual Member  14805087.0  7030-7030         0.0        0.0   \n",
       "3474273  Annual Member  14805094.0  7336-7336         0.0        0.0   \n",
       "3474275  Casual Member  14805096.0  7252-7252         0.0        0.0   \n",
       "3474276  Casual Member  14805097.0  7416-7416         0.0        0.0   \n",
       "\n",
       "         distance_y  \n",
       "61              NaN  \n",
       "136             NaN  \n",
       "213             NaN  \n",
       "271             NaN  \n",
       "333             NaN  \n",
       "...             ...  \n",
       "3474265         0.0  \n",
       "3474267         0.0  \n",
       "3474273         0.0  \n",
       "3474275         0.0  \n",
       "3474276         0.0  \n",
       "\n",
       "[187699 rows x 15 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trouble = df_trouble_1.append([df_trouble_2, df_trouble_3])\n",
    "df_trouble"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "cf3c93e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Start Station Id\n",
       "7000    32\n",
       "7001    18\n",
       "7002    16\n",
       "7003    15\n",
       "7004     3\n",
       "        ..\n",
       "7683     7\n",
       "7684     8\n",
       "7685     1\n",
       "7686     5\n",
       "7687     4\n",
       "Name: Start Time, Length: 1194, dtype: int64"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trouble.groupby([\"Start Station Id\"])[\"Start Time\"].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "fb3de473",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Bike Id\n",
       "15.0     1\n",
       "16.0     1\n",
       "19.0     1\n",
       "20.0     2\n",
       "22.0     2\n",
       "        ..\n",
       "994     35\n",
       "995     31\n",
       "996     14\n",
       "997     16\n",
       "998     15\n",
       "Name: Start Time, Length: 10052, dtype: int64"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trouble.groupby([\"Bike Id\"])[\"Start Time\"].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0b91dc60",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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