BellaBeat.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b26dea24-d8ab-4edf-8a6e-263f300d9bc5",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "99b299f0-b4a6-4d6d-b625-f3cdeedb37f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "daily_activity = pd.read_csv(r\"C:\\Users\\KAREN J FERNANDES\\anaconda3\\Files\\Bellabeat\\Fitabase Data 4.12.16-5.12.16\\dailyActivity_merged.csv\")\n",
    "sleep_day = pd.read_csv(r\"C:\\Users\\KAREN J FERNANDES\\anaconda3\\Files\\Bellabeat\\Fitabase Data 4.12.16-5.12.16\\sleepDay_merged.csv\")\n",
    "weight_log_info = pd.read_csv(r\"C:\\Users\\KAREN J FERNANDES\\anaconda3\\Files\\Bellabeat\\Fitabase Data 4.12.16-5.12.16\\weightLogInfo_merged.csv\")\n",
    "hourly_intensity = pd.read_csv(r\"C:\\Users\\KAREN J FERNANDES\\anaconda3\\Files\\Bellabeat\\Fitabase Data 4.12.16-5.12.16\\hourlyIntensities_merged.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e92bd829-6336-46b7-badf-133877a7e406",
   "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>Id</th>\n",
       "      <th>ActivityDate</th>\n",
       "      <th>TotalSteps</th>\n",
       "      <th>TotalDistance</th>\n",
       "      <th>TrackerDistance</th>\n",
       "      <th>LoggedActivitiesDistance</th>\n",
       "      <th>VeryActiveDistance</th>\n",
       "      <th>ModeratelyActiveDistance</th>\n",
       "      <th>LightActiveDistance</th>\n",
       "      <th>SedentaryActiveDistance</th>\n",
       "      <th>VeryActiveMinutes</th>\n",
       "      <th>FairlyActiveMinutes</th>\n",
       "      <th>LightlyActiveMinutes</th>\n",
       "      <th>SedentaryMinutes</th>\n",
       "      <th>Calories</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/12/2016</td>\n",
       "      <td>13162</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.88</td>\n",
       "      <td>0.55</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>328</td>\n",
       "      <td>728</td>\n",
       "      <td>1985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/13/2016</td>\n",
       "      <td>10735</td>\n",
       "      <td>6.97</td>\n",
       "      <td>6.97</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.57</td>\n",
       "      <td>0.69</td>\n",
       "      <td>4.71</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>19</td>\n",
       "      <td>217</td>\n",
       "      <td>776</td>\n",
       "      <td>1797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/14/2016</td>\n",
       "      <td>10460</td>\n",
       "      <td>6.74</td>\n",
       "      <td>6.74</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.44</td>\n",
       "      <td>0.40</td>\n",
       "      <td>3.91</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30</td>\n",
       "      <td>11</td>\n",
       "      <td>181</td>\n",
       "      <td>1218</td>\n",
       "      <td>1776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/15/2016</td>\n",
       "      <td>9762</td>\n",
       "      <td>6.28</td>\n",
       "      <td>6.28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.14</td>\n",
       "      <td>1.26</td>\n",
       "      <td>2.83</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29</td>\n",
       "      <td>34</td>\n",
       "      <td>209</td>\n",
       "      <td>726</td>\n",
       "      <td>1745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/16/2016</td>\n",
       "      <td>12669</td>\n",
       "      <td>8.16</td>\n",
       "      <td>8.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.71</td>\n",
       "      <td>0.41</td>\n",
       "      <td>5.04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36</td>\n",
       "      <td>10</td>\n",
       "      <td>221</td>\n",
       "      <td>773</td>\n",
       "      <td>1863</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id ActivityDate  TotalSteps  TotalDistance  TrackerDistance  \\\n",
       "0  1503960366    4/12/2016       13162           8.50             8.50   \n",
       "1  1503960366    4/13/2016       10735           6.97             6.97   \n",
       "2  1503960366    4/14/2016       10460           6.74             6.74   \n",
       "3  1503960366    4/15/2016        9762           6.28             6.28   \n",
       "4  1503960366    4/16/2016       12669           8.16             8.16   \n",
       "\n",
       "   LoggedActivitiesDistance  VeryActiveDistance  ModeratelyActiveDistance  \\\n",
       "0                       0.0                1.88                      0.55   \n",
       "1                       0.0                1.57                      0.69   \n",
       "2                       0.0                2.44                      0.40   \n",
       "3                       0.0                2.14                      1.26   \n",
       "4                       0.0                2.71                      0.41   \n",
       "\n",
       "   LightActiveDistance  SedentaryActiveDistance  VeryActiveMinutes  \\\n",
       "0                 6.06                      0.0                 25   \n",
       "1                 4.71                      0.0                 21   \n",
       "2                 3.91                      0.0                 30   \n",
       "3                 2.83                      0.0                 29   \n",
       "4                 5.04                      0.0                 36   \n",
       "\n",
       "   FairlyActiveMinutes  LightlyActiveMinutes  SedentaryMinutes  Calories  \n",
       "0                   13                   328               728      1985  \n",
       "1                   19                   217               776      1797  \n",
       "2                   11                   181              1218      1776  \n",
       "3                   34                   209               726      1745  \n",
       "4                   10                   221               773      1863  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_activity.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ec289f21-c84e-4219-bed5-ecfa7b2db1d9",
   "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>Id</th>\n",
       "      <th>SleepDay</th>\n",
       "      <th>TotalSleepRecords</th>\n",
       "      <th>TotalMinutesAsleep</th>\n",
       "      <th>TotalTimeInBed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/12/2016 12:00:00 AM</td>\n",
       "      <td>1</td>\n",
       "      <td>327</td>\n",
       "      <td>346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/13/2016 12:00:00 AM</td>\n",
       "      <td>2</td>\n",
       "      <td>384</td>\n",
       "      <td>407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/15/2016 12:00:00 AM</td>\n",
       "      <td>1</td>\n",
       "      <td>412</td>\n",
       "      <td>442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/16/2016 12:00:00 AM</td>\n",
       "      <td>2</td>\n",
       "      <td>340</td>\n",
       "      <td>367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/17/2016 12:00:00 AM</td>\n",
       "      <td>1</td>\n",
       "      <td>700</td>\n",
       "      <td>712</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id               SleepDay  TotalSleepRecords  TotalMinutesAsleep  \\\n",
       "0  1503960366  4/12/2016 12:00:00 AM                  1                 327   \n",
       "1  1503960366  4/13/2016 12:00:00 AM                  2                 384   \n",
       "2  1503960366  4/15/2016 12:00:00 AM                  1                 412   \n",
       "3  1503960366  4/16/2016 12:00:00 AM                  2                 340   \n",
       "4  1503960366  4/17/2016 12:00:00 AM                  1                 700   \n",
       "\n",
       "   TotalTimeInBed  \n",
       "0             346  \n",
       "1             407  \n",
       "2             442  \n",
       "3             367  \n",
       "4             712  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sleep_day.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "480fc8be-9bf5-496b-a532-b5c9d3b70026",
   "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>Id</th>\n",
       "      <th>Date</th>\n",
       "      <th>WeightKg</th>\n",
       "      <th>WeightPounds</th>\n",
       "      <th>Fat</th>\n",
       "      <th>BMI</th>\n",
       "      <th>IsManualReport</th>\n",
       "      <th>LogId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>5/2/2016 11:59:59 PM</td>\n",
       "      <td>52.599998</td>\n",
       "      <td>115.963147</td>\n",
       "      <td>22.0</td>\n",
       "      <td>22.650000</td>\n",
       "      <td>True</td>\n",
       "      <td>1462233599000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>5/3/2016 11:59:59 PM</td>\n",
       "      <td>52.599998</td>\n",
       "      <td>115.963147</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.650000</td>\n",
       "      <td>True</td>\n",
       "      <td>1462319999000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1927972279</td>\n",
       "      <td>4/13/2016 1:08:52 AM</td>\n",
       "      <td>133.500000</td>\n",
       "      <td>294.317120</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.540001</td>\n",
       "      <td>False</td>\n",
       "      <td>1460509732000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2873212765</td>\n",
       "      <td>4/21/2016 11:59:59 PM</td>\n",
       "      <td>56.700001</td>\n",
       "      <td>125.002104</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.450001</td>\n",
       "      <td>True</td>\n",
       "      <td>1461283199000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2873212765</td>\n",
       "      <td>5/12/2016 11:59:59 PM</td>\n",
       "      <td>57.299999</td>\n",
       "      <td>126.324875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.690001</td>\n",
       "      <td>True</td>\n",
       "      <td>1463097599000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id                   Date    WeightKg  WeightPounds   Fat  \\\n",
       "0  1503960366   5/2/2016 11:59:59 PM   52.599998    115.963147  22.0   \n",
       "1  1503960366   5/3/2016 11:59:59 PM   52.599998    115.963147   NaN   \n",
       "2  1927972279   4/13/2016 1:08:52 AM  133.500000    294.317120   NaN   \n",
       "3  2873212765  4/21/2016 11:59:59 PM   56.700001    125.002104   NaN   \n",
       "4  2873212765  5/12/2016 11:59:59 PM   57.299999    126.324875   NaN   \n",
       "\n",
       "         BMI  IsManualReport          LogId  \n",
       "0  22.650000            True  1462233599000  \n",
       "1  22.650000            True  1462319999000  \n",
       "2  47.540001           False  1460509732000  \n",
       "3  21.450001            True  1461283199000  \n",
       "4  21.690001            True  1463097599000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weight_log_info.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d67d01b4-2d5a-49a9-b952-21656def4467",
   "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>Id</th>\n",
       "      <th>ActivityHour</th>\n",
       "      <th>TotalIntensity</th>\n",
       "      <th>AverageIntensity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/12/2016 12:00:00 AM</td>\n",
       "      <td>20</td>\n",
       "      <td>0.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/12/2016 1:00:00 AM</td>\n",
       "      <td>8</td>\n",
       "      <td>0.133333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/12/2016 2:00:00 AM</td>\n",
       "      <td>7</td>\n",
       "      <td>0.116667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/12/2016 3:00:00 AM</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/12/2016 4:00:00 AM</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id           ActivityHour  TotalIntensity  AverageIntensity\n",
       "0  1503960366  4/12/2016 12:00:00 AM              20          0.333333\n",
       "1  1503960366   4/12/2016 1:00:00 AM               8          0.133333\n",
       "2  1503960366   4/12/2016 2:00:00 AM               7          0.116667\n",
       "3  1503960366   4/12/2016 3:00:00 AM               0          0.000000\n",
       "4  1503960366   4/12/2016 4:00:00 AM               0          0.000000"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hourly_intensity.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28e13c72-0e1d-45ee-83e4-137032ec3acb",
   "metadata": {},
   "source": [
    "### Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c3c002cb-cdfa-4a0e-8ff5-8a7c3d3f3929",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(940, 15)\n",
      "\n",
      "(413, 5)\n",
      "\n",
      "(67, 8)\n",
      "\n",
      "(22099, 4)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#function to check for shape\n",
    "\n",
    "dataframes = [daily_activity, sleep_day, weight_log_info, hourly_intensity]\n",
    "\n",
    "for df in dataframes:\n",
    "    print(df.shape)\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a73b2478-2e6f-4511-bab3-39a6975fa203",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Id                          0\n",
      "ActivityDate                0\n",
      "TotalSteps                  0\n",
      "TotalDistance               0\n",
      "TrackerDistance             0\n",
      "LoggedActivitiesDistance    0\n",
      "VeryActiveDistance          0\n",
      "ModeratelyActiveDistance    0\n",
      "LightActiveDistance         0\n",
      "SedentaryActiveDistance     0\n",
      "VeryActiveMinutes           0\n",
      "FairlyActiveMinutes         0\n",
      "LightlyActiveMinutes        0\n",
      "SedentaryMinutes            0\n",
      "Calories                    0\n",
      "dtype: int64\n",
      "\n",
      "Id                    0\n",
      "SleepDay              0\n",
      "TotalSleepRecords     0\n",
      "TotalMinutesAsleep    0\n",
      "TotalTimeInBed        0\n",
      "dtype: int64\n",
      "\n",
      "Id                 0\n",
      "Date               0\n",
      "WeightKg           0\n",
      "WeightPounds       0\n",
      "Fat               65\n",
      "BMI                0\n",
      "IsManualReport     0\n",
      "LogId              0\n",
      "dtype: int64\n",
      "\n",
      "Id                  0\n",
      "ActivityHour        0\n",
      "TotalIntensity      0\n",
      "AverageIntensity    0\n",
      "dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#function to check for nulls\n",
    "\n",
    "dataframes = [daily_activity, sleep_day, weight_log_info, hourly_intensity]\n",
    "\n",
    "for df in dataframes:\n",
    "    print(df.isnull().sum())\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f459f57f-c3a7-4ce2-a177-7a8790205ea0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# dropping fat column\n",
    "weight_log_info.drop(columns = ['Fat'], inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "050bd0c8-5c4a-42a1-834a-81324152d6b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Id', 'Date', 'WeightKg', 'WeightPounds', 'BMI', 'IsManualReport',\n",
       "       'LogId'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weight_log_info.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "04243455-ccc3-46a0-ae7e-d5349a108236",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "\n",
      "3\n",
      "\n",
      "0\n",
      "\n",
      "0\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#function to check for duplicates\n",
    "\n",
    "dataframes = [daily_activity, sleep_day, weight_log_info, hourly_intensity]\n",
    "\n",
    "for df in dataframes:\n",
    "    print(df.duplicated().sum())\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "afc38fed-c3fd-4995-b7bc-dd6de58c44fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Deleting duplicates\n",
    "sleep_day1 = sleep_day.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "46ab62c3-3046-4f7d-9f69-63b38b3af95e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sleep_day1.duplicated().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fb981127-1b75-4aba-b4a7-b20fe9e64da8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Id                            int64\n",
      "ActivityDate                 object\n",
      "TotalSteps                    int64\n",
      "TotalDistance               float64\n",
      "TrackerDistance             float64\n",
      "LoggedActivitiesDistance    float64\n",
      "VeryActiveDistance          float64\n",
      "ModeratelyActiveDistance    float64\n",
      "LightActiveDistance         float64\n",
      "SedentaryActiveDistance     float64\n",
      "VeryActiveMinutes             int64\n",
      "FairlyActiveMinutes           int64\n",
      "LightlyActiveMinutes          int64\n",
      "SedentaryMinutes              int64\n",
      "Calories                      int64\n",
      "dtype: object\n",
      "\n",
      "Id                     int64\n",
      "SleepDay              object\n",
      "TotalSleepRecords      int64\n",
      "TotalMinutesAsleep     int64\n",
      "TotalTimeInBed         int64\n",
      "dtype: object\n",
      "\n",
      "Id                  int64\n",
      "Date               object\n",
      "WeightKg          float64\n",
      "WeightPounds      float64\n",
      "BMI               float64\n",
      "IsManualReport       bool\n",
      "LogId               int64\n",
      "dtype: object\n",
      "\n",
      "Id                    int64\n",
      "ActivityHour         object\n",
      "TotalIntensity        int64\n",
      "AverageIntensity    float64\n",
      "dtype: object\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#function to check the datatypes\n",
    "\n",
    "dataframes = [daily_activity, sleep_day1, weight_log_info, hourly_intensity]\n",
    "\n",
    "for df in dataframes:\n",
    "    print(df.dtypes)\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "228c8cf3-844b-45c7-80e0-2cf800af1ab7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Id                                   int64\n",
      "ActivityDate                datetime64[ns]\n",
      "TotalSteps                           int64\n",
      "TotalDistance                      float64\n",
      "TrackerDistance                    float64\n",
      "LoggedActivitiesDistance           float64\n",
      "VeryActiveDistance                 float64\n",
      "ModeratelyActiveDistance           float64\n",
      "LightActiveDistance                float64\n",
      "SedentaryActiveDistance            float64\n",
      "VeryActiveMinutes                    int64\n",
      "FairlyActiveMinutes                  int64\n",
      "LightlyActiveMinutes                 int64\n",
      "SedentaryMinutes                     int64\n",
      "Calories                             int64\n",
      "dtype: object\n",
      "\n",
      "Id                             int64\n",
      "SleepDay              datetime64[ns]\n",
      "TotalSleepRecords              int64\n",
      "TotalMinutesAsleep             int64\n",
      "TotalTimeInBed                 int64\n",
      "dtype: object\n",
      "\n",
      "Id                         int64\n",
      "Date              datetime64[ns]\n",
      "WeightKg                 float64\n",
      "WeightPounds             float64\n",
      "BMI                      float64\n",
      "IsManualReport              bool\n",
      "LogId                      int64\n",
      "dtype: object\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\KAREN J FERNANDES\\AppData\\Local\\Temp\\ipykernel_18452\\4263361336.py:6: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
      "  df[column] = pd.to_datetime(df[column])\n",
      "C:\\Users\\KAREN J FERNANDES\\AppData\\Local\\Temp\\ipykernel_18452\\4263361336.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[column] = pd.to_datetime(df[column])\n",
      "C:\\Users\\KAREN J FERNANDES\\AppData\\Local\\Temp\\ipykernel_18452\\4263361336.py:6: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
      "  df[column] = pd.to_datetime(df[column])\n",
      "C:\\Users\\KAREN J FERNANDES\\AppData\\Local\\Temp\\ipykernel_18452\\4263361336.py:6: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.\n",
      "  df[column] = pd.to_datetime(df[column])\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Id                           int64\n",
      "ActivityHour        datetime64[ns]\n",
      "TotalIntensity               int64\n",
      "AverageIntensity           float64\n",
      "dtype: object\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Formatting String Date datatype to Date time datatype\n",
    "dataframes = [daily_activity, sleep_day1, weight_log_info, hourly_intensity]\n",
    "columns_to_convert = ['ActivityDate', 'SleepDay', 'Date', 'ActivityHour']\n",
    "\n",
    "for df, column in zip(dataframes, columns_to_convert):\n",
    "    df[column] = pd.to_datetime(df[column])\n",
    "    print(df.dtypes)\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5a9d9377-ae1b-4540-8bb5-fb5fbd760b66",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\KAREN J FERNANDES\\AppData\\Local\\Temp\\ipykernel_18452\\1671633527.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  sleep_day1['TotalHoursAsleep'] = sleep_day1['TotalMinutesAsleep'].apply(lambda x: x/60)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>SleepDay</th>\n",
       "      <th>TotalSleepRecords</th>\n",
       "      <th>TotalMinutesAsleep</th>\n",
       "      <th>TotalTimeInBed</th>\n",
       "      <th>TotalHoursAsleep</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>1</td>\n",
       "      <td>327</td>\n",
       "      <td>346</td>\n",
       "      <td>5.450000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>2</td>\n",
       "      <td>384</td>\n",
       "      <td>407</td>\n",
       "      <td>6.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-15</td>\n",
       "      <td>1</td>\n",
       "      <td>412</td>\n",
       "      <td>442</td>\n",
       "      <td>6.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-16</td>\n",
       "      <td>2</td>\n",
       "      <td>340</td>\n",
       "      <td>367</td>\n",
       "      <td>5.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-17</td>\n",
       "      <td>1</td>\n",
       "      <td>700</td>\n",
       "      <td>712</td>\n",
       "      <td>11.666667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id   SleepDay  TotalSleepRecords  TotalMinutesAsleep  \\\n",
       "0  1503960366 2016-04-12                  1                 327   \n",
       "1  1503960366 2016-04-13                  2                 384   \n",
       "2  1503960366 2016-04-15                  1                 412   \n",
       "3  1503960366 2016-04-16                  2                 340   \n",
       "4  1503960366 2016-04-17                  1                 700   \n",
       "\n",
       "   TotalTimeInBed  TotalHoursAsleep  \n",
       "0             346          5.450000  \n",
       "1             407          6.400000  \n",
       "2             442          6.866667  \n",
       "3             367          5.666667  \n",
       "4             712         11.666667  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#converting minutes to hours\n",
    "sleep_day1['TotalHoursAsleep'] = sleep_day1['TotalMinutesAsleep'].apply(lambda x: x/60)\n",
    "sleep_day1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b09bfd9c-b4c7-4a39-a6e3-8bbc3ec5f777",
   "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>Id</th>\n",
       "      <th>ActivityHour</th>\n",
       "      <th>TotalIntensity</th>\n",
       "      <th>AverageIntensity</th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12 00:00:00</td>\n",
       "      <td>20</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>2016/04/12</td>\n",
       "      <td>12:00:00 AM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12 01:00:00</td>\n",
       "      <td>8</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>2016/04/12</td>\n",
       "      <td>01:00:00 AM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12 02:00:00</td>\n",
       "      <td>7</td>\n",
       "      <td>0.116667</td>\n",
       "      <td>2016/04/12</td>\n",
       "      <td>02:00:00 AM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12 03:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2016/04/12</td>\n",
       "      <td>03:00:00 AM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12 04:00:00</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2016/04/12</td>\n",
       "      <td>04:00:00 AM</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id        ActivityHour  TotalIntensity  AverageIntensity  \\\n",
       "0  1503960366 2016-04-12 00:00:00              20          0.333333   \n",
       "1  1503960366 2016-04-12 01:00:00               8          0.133333   \n",
       "2  1503960366 2016-04-12 02:00:00               7          0.116667   \n",
       "3  1503960366 2016-04-12 03:00:00               0          0.000000   \n",
       "4  1503960366 2016-04-12 04:00:00               0          0.000000   \n",
       "\n",
       "         Date         Time  \n",
       "0  2016/04/12  12:00:00 AM  \n",
       "1  2016/04/12  01:00:00 AM  \n",
       "2  2016/04/12  02:00:00 AM  \n",
       "3  2016/04/12  03:00:00 AM  \n",
       "4  2016/04/12  04:00:00 AM  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#separting date and time from activityhour\n",
    "\n",
    "hourly_intensity['ActivityHour'] = pd.to_datetime(hourly_intensity['ActivityHour'], format='%Y/%m/%d %I:%M:%S %p')\n",
    "\n",
    "hourly_intensity['Date'] = hourly_intensity['ActivityHour'].dt.strftime('%Y/%m/%d')\n",
    "hourly_intensity['Time'] = hourly_intensity['ActivityHour'].dt.strftime('%I:%M:%S %p')\n",
    "\n",
    "hourly_intensity.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c72f55ca-21eb-4368-981a-f68a2083e2cb",
   "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>Id</th>\n",
       "      <th>ActivityDate</th>\n",
       "      <th>TotalSteps</th>\n",
       "      <th>TotalDistance</th>\n",
       "      <th>TrackerDistance</th>\n",
       "      <th>LoggedActivitiesDistance</th>\n",
       "      <th>VeryActiveDistance</th>\n",
       "      <th>ModeratelyActiveDistance</th>\n",
       "      <th>LightActiveDistance</th>\n",
       "      <th>SedentaryActiveDistance</th>\n",
       "      <th>VeryActiveMinutes</th>\n",
       "      <th>FairlyActiveMinutes</th>\n",
       "      <th>LightlyActiveMinutes</th>\n",
       "      <th>SedentaryMinutes</th>\n",
       "      <th>Calories</th>\n",
       "      <th>WeekDays</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>13162</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.88</td>\n",
       "      <td>0.55</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>328</td>\n",
       "      <td>728</td>\n",
       "      <td>1985</td>\n",
       "      <td>Tuesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>10735</td>\n",
       "      <td>6.97</td>\n",
       "      <td>6.97</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.57</td>\n",
       "      <td>0.69</td>\n",
       "      <td>4.71</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>19</td>\n",
       "      <td>217</td>\n",
       "      <td>776</td>\n",
       "      <td>1797</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-14</td>\n",
       "      <td>10460</td>\n",
       "      <td>6.74</td>\n",
       "      <td>6.74</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.44</td>\n",
       "      <td>0.40</td>\n",
       "      <td>3.91</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30</td>\n",
       "      <td>11</td>\n",
       "      <td>181</td>\n",
       "      <td>1218</td>\n",
       "      <td>1776</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-15</td>\n",
       "      <td>9762</td>\n",
       "      <td>6.28</td>\n",
       "      <td>6.28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.14</td>\n",
       "      <td>1.26</td>\n",
       "      <td>2.83</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29</td>\n",
       "      <td>34</td>\n",
       "      <td>209</td>\n",
       "      <td>726</td>\n",
       "      <td>1745</td>\n",
       "      <td>Friday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-16</td>\n",
       "      <td>12669</td>\n",
       "      <td>8.16</td>\n",
       "      <td>8.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.71</td>\n",
       "      <td>0.41</td>\n",
       "      <td>5.04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36</td>\n",
       "      <td>10</td>\n",
       "      <td>221</td>\n",
       "      <td>773</td>\n",
       "      <td>1863</td>\n",
       "      <td>Saturday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id ActivityDate  TotalSteps  TotalDistance  TrackerDistance  \\\n",
       "0  1503960366   2016-04-12       13162           8.50             8.50   \n",
       "1  1503960366   2016-04-13       10735           6.97             6.97   \n",
       "2  1503960366   2016-04-14       10460           6.74             6.74   \n",
       "3  1503960366   2016-04-15        9762           6.28             6.28   \n",
       "4  1503960366   2016-04-16       12669           8.16             8.16   \n",
       "\n",
       "   LoggedActivitiesDistance  VeryActiveDistance  ModeratelyActiveDistance  \\\n",
       "0                       0.0                1.88                      0.55   \n",
       "1                       0.0                1.57                      0.69   \n",
       "2                       0.0                2.44                      0.40   \n",
       "3                       0.0                2.14                      1.26   \n",
       "4                       0.0                2.71                      0.41   \n",
       "\n",
       "   LightActiveDistance  SedentaryActiveDistance  VeryActiveMinutes  \\\n",
       "0                 6.06                      0.0                 25   \n",
       "1                 4.71                      0.0                 21   \n",
       "2                 3.91                      0.0                 30   \n",
       "3                 2.83                      0.0                 29   \n",
       "4                 5.04                      0.0                 36   \n",
       "\n",
       "   FairlyActiveMinutes  LightlyActiveMinutes  SedentaryMinutes  Calories  \\\n",
       "0                   13                   328               728      1985   \n",
       "1                   19                   217               776      1797   \n",
       "2                   11                   181              1218      1776   \n",
       "3                   34                   209               726      1745   \n",
       "4                   10                   221               773      1863   \n",
       "\n",
       "    WeekDays  \n",
       "0    Tuesday  \n",
       "1  Wednesday  \n",
       "2   Thursday  \n",
       "3     Friday  \n",
       "4   Saturday  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating a new column for weekdays\n",
    "daily_activity['WeekDays'] = daily_activity['ActivityDate'].dt.day_name()\n",
    "daily_activity.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "88d395bc-58c5-4741-b646-fc2b7c5d5d5a",
   "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>Id</th>\n",
       "      <th>ActivityDate</th>\n",
       "      <th>TotalSteps</th>\n",
       "      <th>TotalDistance</th>\n",
       "      <th>TrackerDistance</th>\n",
       "      <th>LoggedActivitiesDistance</th>\n",
       "      <th>VeryActiveDistance</th>\n",
       "      <th>ModeratelyActiveDistance</th>\n",
       "      <th>LightActiveDistance</th>\n",
       "      <th>SedentaryActiveDistance</th>\n",
       "      <th>...</th>\n",
       "      <th>FairlyActiveMinutes</th>\n",
       "      <th>LightlyActiveMinutes</th>\n",
       "      <th>SedentaryMinutes</th>\n",
       "      <th>Calories</th>\n",
       "      <th>WeekDays</th>\n",
       "      <th>SleepDay</th>\n",
       "      <th>TotalSleepRecords</th>\n",
       "      <th>TotalMinutesAsleep</th>\n",
       "      <th>TotalTimeInBed</th>\n",
       "      <th>TotalHoursAsleep</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>13162</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.88</td>\n",
       "      <td>0.55</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>328</td>\n",
       "      <td>728</td>\n",
       "      <td>1985</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>1</td>\n",
       "      <td>327</td>\n",
       "      <td>346</td>\n",
       "      <td>5.450000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>13162</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.88</td>\n",
       "      <td>0.55</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>328</td>\n",
       "      <td>728</td>\n",
       "      <td>1985</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>2</td>\n",
       "      <td>384</td>\n",
       "      <td>407</td>\n",
       "      <td>6.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>13162</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.88</td>\n",
       "      <td>0.55</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>328</td>\n",
       "      <td>728</td>\n",
       "      <td>1985</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2016-04-15</td>\n",
       "      <td>1</td>\n",
       "      <td>412</td>\n",
       "      <td>442</td>\n",
       "      <td>6.866667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>13162</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.88</td>\n",
       "      <td>0.55</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>328</td>\n",
       "      <td>728</td>\n",
       "      <td>1985</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2016-04-16</td>\n",
       "      <td>2</td>\n",
       "      <td>340</td>\n",
       "      <td>367</td>\n",
       "      <td>5.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>13162</td>\n",
       "      <td>8.5</td>\n",
       "      <td>8.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.88</td>\n",
       "      <td>0.55</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13</td>\n",
       "      <td>328</td>\n",
       "      <td>728</td>\n",
       "      <td>1985</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2016-04-17</td>\n",
       "      <td>1</td>\n",
       "      <td>700</td>\n",
       "      <td>712</td>\n",
       "      <td>11.666667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id ActivityDate  TotalSteps  TotalDistance  TrackerDistance  \\\n",
       "0  1503960366   2016-04-12       13162            8.5              8.5   \n",
       "1  1503960366   2016-04-12       13162            8.5              8.5   \n",
       "2  1503960366   2016-04-12       13162            8.5              8.5   \n",
       "3  1503960366   2016-04-12       13162            8.5              8.5   \n",
       "4  1503960366   2016-04-12       13162            8.5              8.5   \n",
       "\n",
       "   LoggedActivitiesDistance  VeryActiveDistance  ModeratelyActiveDistance  \\\n",
       "0                       0.0                1.88                      0.55   \n",
       "1                       0.0                1.88                      0.55   \n",
       "2                       0.0                1.88                      0.55   \n",
       "3                       0.0                1.88                      0.55   \n",
       "4                       0.0                1.88                      0.55   \n",
       "\n",
       "   LightActiveDistance  SedentaryActiveDistance  ...  FairlyActiveMinutes  \\\n",
       "0                 6.06                      0.0  ...                   13   \n",
       "1                 6.06                      0.0  ...                   13   \n",
       "2                 6.06                      0.0  ...                   13   \n",
       "3                 6.06                      0.0  ...                   13   \n",
       "4                 6.06                      0.0  ...                   13   \n",
       "\n",
       "   LightlyActiveMinutes  SedentaryMinutes  Calories  WeekDays   SleepDay  \\\n",
       "0                   328               728      1985   Tuesday 2016-04-12   \n",
       "1                   328               728      1985   Tuesday 2016-04-13   \n",
       "2                   328               728      1985   Tuesday 2016-04-15   \n",
       "3                   328               728      1985   Tuesday 2016-04-16   \n",
       "4                   328               728      1985   Tuesday 2016-04-17   \n",
       "\n",
       "  TotalSleepRecords  TotalMinutesAsleep  TotalTimeInBed  TotalHoursAsleep  \n",
       "0                 1                 327             346          5.450000  \n",
       "1                 2                 384             407          6.400000  \n",
       "2                 1                 412             442          6.866667  \n",
       "3                 2                 340             367          5.666667  \n",
       "4                 1                 700             712         11.666667  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merging daily_activity and sleep_day1\n",
    "daily_activity_sleep = pd.merge(daily_activity, sleep_day1, on=['Id'])\n",
    "daily_activity_sleep.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e974a875-95a3-4bee-bc1c-b962398a27fd",
   "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>Id</th>\n",
       "      <th>ActivityDate</th>\n",
       "      <th>TotalSteps</th>\n",
       "      <th>TotalDistance</th>\n",
       "      <th>TrackerDistance</th>\n",
       "      <th>LoggedActivitiesDistance</th>\n",
       "      <th>VeryActiveDistance</th>\n",
       "      <th>ModeratelyActiveDistance</th>\n",
       "      <th>LightActiveDistance</th>\n",
       "      <th>SedentaryActiveDistance</th>\n",
       "      <th>...</th>\n",
       "      <th>LightlyActiveMinutes</th>\n",
       "      <th>SedentaryMinutes</th>\n",
       "      <th>Calories</th>\n",
       "      <th>WeekDays</th>\n",
       "      <th>Date</th>\n",
       "      <th>WeightKg</th>\n",
       "      <th>WeightPounds</th>\n",
       "      <th>BMI</th>\n",
       "      <th>IsManualReport</th>\n",
       "      <th>LogId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>13162</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.88</td>\n",
       "      <td>0.55</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>328</td>\n",
       "      <td>728</td>\n",
       "      <td>1985</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2016-05-02 23:59:59</td>\n",
       "      <td>52.599998</td>\n",
       "      <td>115.963147</td>\n",
       "      <td>22.65</td>\n",
       "      <td>True</td>\n",
       "      <td>1462233599000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>13162</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.88</td>\n",
       "      <td>0.55</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>328</td>\n",
       "      <td>728</td>\n",
       "      <td>1985</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2016-05-03 23:59:59</td>\n",
       "      <td>52.599998</td>\n",
       "      <td>115.963147</td>\n",
       "      <td>22.65</td>\n",
       "      <td>True</td>\n",
       "      <td>1462319999000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>10735</td>\n",
       "      <td>6.97</td>\n",
       "      <td>6.97</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.57</td>\n",
       "      <td>0.69</td>\n",
       "      <td>4.71</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>217</td>\n",
       "      <td>776</td>\n",
       "      <td>1797</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2016-05-02 23:59:59</td>\n",
       "      <td>52.599998</td>\n",
       "      <td>115.963147</td>\n",
       "      <td>22.65</td>\n",
       "      <td>True</td>\n",
       "      <td>1462233599000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>10735</td>\n",
       "      <td>6.97</td>\n",
       "      <td>6.97</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.57</td>\n",
       "      <td>0.69</td>\n",
       "      <td>4.71</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>217</td>\n",
       "      <td>776</td>\n",
       "      <td>1797</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2016-05-03 23:59:59</td>\n",
       "      <td>52.599998</td>\n",
       "      <td>115.963147</td>\n",
       "      <td>22.65</td>\n",
       "      <td>True</td>\n",
       "      <td>1462319999000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-14</td>\n",
       "      <td>10460</td>\n",
       "      <td>6.74</td>\n",
       "      <td>6.74</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.44</td>\n",
       "      <td>0.40</td>\n",
       "      <td>3.91</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>181</td>\n",
       "      <td>1218</td>\n",
       "      <td>1776</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>2016-05-02 23:59:59</td>\n",
       "      <td>52.599998</td>\n",
       "      <td>115.963147</td>\n",
       "      <td>22.65</td>\n",
       "      <td>True</td>\n",
       "      <td>1462233599000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id ActivityDate  TotalSteps  TotalDistance  TrackerDistance  \\\n",
       "0  1503960366   2016-04-12       13162           8.50             8.50   \n",
       "1  1503960366   2016-04-12       13162           8.50             8.50   \n",
       "2  1503960366   2016-04-13       10735           6.97             6.97   \n",
       "3  1503960366   2016-04-13       10735           6.97             6.97   \n",
       "4  1503960366   2016-04-14       10460           6.74             6.74   \n",
       "\n",
       "   LoggedActivitiesDistance  VeryActiveDistance  ModeratelyActiveDistance  \\\n",
       "0                       0.0                1.88                      0.55   \n",
       "1                       0.0                1.88                      0.55   \n",
       "2                       0.0                1.57                      0.69   \n",
       "3                       0.0                1.57                      0.69   \n",
       "4                       0.0                2.44                      0.40   \n",
       "\n",
       "   LightActiveDistance  SedentaryActiveDistance  ...  LightlyActiveMinutes  \\\n",
       "0                 6.06                      0.0  ...                   328   \n",
       "1                 6.06                      0.0  ...                   328   \n",
       "2                 4.71                      0.0  ...                   217   \n",
       "3                 4.71                      0.0  ...                   217   \n",
       "4                 3.91                      0.0  ...                   181   \n",
       "\n",
       "   SedentaryMinutes  Calories   WeekDays                Date   WeightKg  \\\n",
       "0               728      1985    Tuesday 2016-05-02 23:59:59  52.599998   \n",
       "1               728      1985    Tuesday 2016-05-03 23:59:59  52.599998   \n",
       "2               776      1797  Wednesday 2016-05-02 23:59:59  52.599998   \n",
       "3               776      1797  Wednesday 2016-05-03 23:59:59  52.599998   \n",
       "4              1218      1776   Thursday 2016-05-02 23:59:59  52.599998   \n",
       "\n",
       "  WeightPounds    BMI  IsManualReport          LogId  \n",
       "0   115.963147  22.65            True  1462233599000  \n",
       "1   115.963147  22.65            True  1462319999000  \n",
       "2   115.963147  22.65            True  1462233599000  \n",
       "3   115.963147  22.65            True  1462319999000  \n",
       "4   115.963147  22.65            True  1462233599000  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merging daily_activity and weight_log_info\n",
    "daily_activity_weight = pd.merge(daily_activity, weight_log_info, on=['Id'])\n",
    "daily_activity_weight.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2238221-8423-458a-9cde-b31fa79dbf22",
   "metadata": {},
   "source": [
    "### Data Visualization\n",
    "#### 1.0 Total Steps Vs Sleep\n",
    "Let's take a look at how the total steps taken will influence how many hours the users will sleep."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "36ce8840-541f-45e7-a01e-fbe4bee02d18",
   "metadata": {},
   "outputs": [],
   "source": [
    "palette = sns.set_palette(sns.color_palette(\"Set2\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "afd023f7-7058-44f4-b2a1-fee3cb9834a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 10))\n",
    "sns.scatterplot(x='TotalSteps', y='TotalHoursAsleep', data = daily_activity_sleep)\n",
    "plt.xlabel('Total Steps')\n",
    "plt.ylabel('Total Hours Asleep')\n",
    "plt.title('Total Steps vs Total Hours Asleep')\n",
    "plt.grid(False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50d98738-2ad1-4ddf-9cab-4a200ee7bd91",
   "metadata": {},
   "source": [
    "We observe from the graph that the Total steps taken don’t necessarily mean that the person will have a better sleep or the number of hours would be longer than usual."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25456a16-d3d8-4239-a1f1-1aa089e860d3",
   "metadata": {},
   "source": [
    "#### 2.0 Total Steps Vs Weekday\n",
    "We shall now take a look at which day the users are most and least active."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ffeb411f-6eca-4f50-a5a7-fae287387660",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1sAAANXCAYAAADD/kV+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAABigUlEQVR4nO3dd3QV1f7+8SeFFFKpKRBC6CC9CEFaAAkKKAoqitLhqhSBKyhXBcSCoBQbIigdroCCIkgnQXoVRUCuBQTp0kJoCcn+/eEv8+UQSqLZhMD7tdZZK7Nnn5nPzJyTnCczs4+bMcYIAAAAAJCl3LO7AAAAAAC4HRG2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgDgFhAfHy83NzfFx8dndyk5yt69e+Xm5qZ33nknu0u5Ljc3Nw0ePDjHLPefaNCggcqXL5/dZdx0d+p2A7g+whaAO5abm1uGHhkJQG+++aa+/PJL6zVL0vbt29W6dWtFRkbKx8dHhQoV0r333qv3338/22r6u2bMmKHRo0dndxnIpIMHD2rw4MHatm1btqz/2Weflbu7u06cOOHSfuLECbm7u8vb21sXLlxwmffbb7/Jzc1N//nPf25mqQDucJ7ZXQAAZJepU6e6TE+ZMkVLly5N1162bNkbLuvNN99U69at1bJly6wsMZ21a9cqJiZGRYoUUdeuXRUaGqr9+/dr/fr1evfdd9WzZ8+bXtM/MWPGDP3444/q3bt3dpeSI50/f16enjf/T/nBgwf16quvqmjRoqpcufJNX3+dOnX00Ucfac2aNWrRooXTvnbtWrm7uys5OVmbN29WnTp1nHlr1qxxngsANwthC8Ad68knn3SZXr9+vZYuXZqu/VbyxhtvKCgoSJs2bVJwcLDLvKNHj2ZPUbipUlNTlZSUJB8fH/n4+GR3OdkiLTCtXr3aJWytWbNGFStW1Pnz57V69WqXYLV69Wq5u7urdu3aN71eAHcuLiMEgOs4e/as/v3vfysiIkLe3t4qXbq03nnnHRljnD5ubm46e/asJk+e7Fx62KFDB0nS77//rmeffValS5eWr6+v8uXLp0ceeUR79+79W/X8+uuvuuuuu9IFLUkqWLBghmqSpAMHDqhTp04KCQmRt7e37rrrLk2YMMFleWn3kc2cOVP/+c9/FBoaKj8/Pz3wwAPav3+/S9+ff/5ZrVq1UmhoqHx8fFS4cGG1adNGp0+fvua2NGjQQAsWLNDvv//u1Fi0aFFJUlJSkgYOHKhq1aopKChIfn5+qlu3ruLi4m64j4wx6tatm7y8vDRnzhynfdq0aapWrZp8fX2VN29etWnTJt12pN13s3PnTsXExCh37twqVKiQhg8ffsP1StLFixfVp08fFShQQAEBAXrggQf0xx9/pOvXoUMHZ1svN3jwYLm5ubm0ubm5qUePHpo+fbruuusueXt7a9GiRc68y+/ZSnv+L7/8og4dOig4OFhBQUHq2LGjzp0757Lc8+fPq1evXsqfP79T64EDB254H1h8fLxq1KghSerYsaNz7CZNmuTSLyP78OLFixo0aJBKlCghb29vRUREqH///rp48eI11y9JRYoUUUREhHO2Ks2aNWt0zz33qHbt2ledd/l7JzPrzshr52qWLFmi3Llz6/HHH9elS5du2B/A7YczWwBwDcYYPfDAA4qLi1Pnzp1VuXJlLV68WP369dOBAwc0atQoSX9djtilSxfdfffd6tatmySpePHikqRNmzZp7dq1atOmjQoXLqy9e/fqo48+UoMGDbRz507lzp07UzVFRkZq3bp1+vHHH697M/71ajpy5Ihq1arlfIgvUKCAFi5cqM6dOyshISHdJX1vvPGG3Nzc9MILL+jo0aMaPXq0GjdurG3btsnX11dJSUmKjY3VxYsX1bNnT4WGhurAgQOaP3++Tp06paCgoKvW+NJLL+n06dP6448/nH3p7+8vSUpISNAnn3yixx9/XF27dtWZM2f06aefKjY2Vhs3brzmpWspKSnq1KmTZs6cqblz56pZs2bONrzyyit69NFH1aVLFx07dkzvv/++6tWrp++++84lvJ48eVJNmzbVww8/rEcffVSff/65XnjhBVWoUEH33XffdY9Ply5dNG3aND3xxBOqXbu2VqxY4dTwT6xYsUKzZs1Sjx49lD9//qsGtcs9+uijioqK0tChQ7V161Z98sknKliwoIYNG+b06dChg2bNmqWnnnpKtWrV0sqVKzNUa9myZTVkyBANHDhQ3bp1U926dSXJ5YxRRvZhamqqHnjgAa1evVrdunVT2bJltX37do0aNUr/+9//bni/YZ06dTRnzhxdvHhR3t7eSkpK0qZNm/TMM8/o3Llz6t+/v4wxcnNz08mTJ7Vz5049/fTTmV53Zl47l5s/f75at26txx57TBMmTJCHh8cN9y2A25ABABhjjOnevbu5/Nfil19+aSSZ119/3aVf69atjZubm/nll1+cNj8/P9O+fft0yzx37ly6tnXr1hlJZsqUKU5bXFyckWTi4uKuW+OSJUuMh4eH8fDwMNHR0aZ///5m8eLFJikpKV3fa9XUuXNnExYWZv7880+X9jZt2pigoCCn5rSaChUqZBISEpx+s2bNMpLMu+++a4wx5rvvvjOSzOzZs69b+9U0a9bMREZGpmu/dOmSuXjxokvbyZMnTUhIiOnUqZPTtmfPHiPJvP322yY5Odk89thjxtfX1yxevNjps3fvXuPh4WHeeOMNl+Vt377deHp6urTXr18/3bG5ePGiCQ0NNa1atbrutmzbts1IMs8++6xL+xNPPGEkmUGDBjlt7du3v+p2Dxo0yFz5p1mScXd3Nzt27EjX/8rlpj3/8n1kjDEPPfSQyZcvnzO9ZcsWI8n07t3bpV+HDh3SLfNqNm3aZCSZiRMnppuX0X04depU4+7ublatWuXy/LFjxxpJZs2aNdet4cMPPzSSnOenva9+//13s3PnTiPJ2Wfz5883ksz06dMzte7MvnbuuusuY4wxX3zxhcmVK5fp2rWrSUlJue52ALi9cRkhAFzDN998Iw8PD/Xq1cul/d///reMMVq4cOENl+Hr6+v8nJycrOPHj6tEiRIKDg7W1q1bM13Tvffeq3Xr1umBBx7Q999/r+HDhys2NlaFChXSvHnzbvh8Y4y++OILtWjRQsYY/fnnn84jNjZWp0+fTldXu3btFBAQ4Ey3bt1aYWFh+uabbyTJOXO1ePHidJeq/V0eHh7y8vKS9NdZiBMnTujSpUuqXr36VfdbUlKSHnnkEc2fP1/ffPONmjRp4sybM2eOUlNT9eijj7psb2hoqEqWLJnu0kR/f3+X+/a8vLx0991367fffrtuzWn748rXS1YM/lG/fn2VK1cuw/3TzuCkqVu3ro4fP66EhARJci5DfPbZZ136XT7Ayj+RkX04e/ZslS1bVmXKlHE5Lg0bNpSkG14yevl9W9JflwkWKlRIRYoUUZkyZZQ3b17nUsIrB8fI6Loz+9qRpP/+97967LHH9K9//Usff/yx3N35qAXcybiMEACu4ffff1d4eLhL0JD+b3TC33///YbLOH/+vIYOHaqJEyfqwIEDLvd6Xe9+puupUaOG5syZo6SkJH3//feaO3euRo0apdatW2vbtm3X/VB+7NgxnTp1SuPGjdO4ceOu2ufKgTZKlizpMu3m5qYSJUo4951FRUWpb9++GjlypKZPn666devqgQce0JNPPnnNSwgzYvLkyRoxYoR++uknJScnO+1RUVHp+g4dOlSJiYlauHChGjRo4DLv559/ljEm3XakyZUrl8t04cKF0903lSdPHv3www/Xrff333+Xu7u7c7lmmtKlS1/3eRlxtW2+niJFirhM58mTR9Jfl/cFBgY6tV653BIlSvyzQv+/jOzDn3/+Wbt27VKBAgWuuowbDfhSvnx5BQcHuwSqe+65R9Jfr9Ho6GitWbNGXbt21Zo1axQREeHsl4yuO7OvnT179ujJJ5/UI488ku6rGADcmQhbAGBRz549NXHiRPXu3VvR0dEKCgqSm5ub2rRpo9TU1H+0bC8vL9WoUUM1atRQqVKl1LFjR82ePVuDBg265nPS1vnkk0+qffv2V+1TsWLFTNcyYsQIdejQQV999ZWWLFmiXr16aejQoVq/fr0KFy6c6eVNmzZNHTp0UMuWLdWvXz8VLFhQHh4eGjp0qH799dd0/WNjY7Vo0SINHz5cDRo0cBmlLzU1VW5ublq4cOFV75tJu08szbXurbk8KP9TVwaRNCkpKVdtv/wMaUbcjG34p+tPTU1VhQoVNHLkyKv2jYiIuO463N3dFR0drbVr18oYozVr1rh8h1bt2rU1YcIE516uy78CIaPrzuxrJywszDnru3nzZlWvXv262wDg9kfYAoBriIyM1LJly3TmzBmXs1s//fSTMz/NtT48f/7552rfvr1GjBjhtF24cEGnTp3K0lrTPtQdOnToujWljZKXkpKixo0bZ2jZP//8s8u0MUa//PJLulBWoUIFVahQQS+//LLWrl2re+65R2PHjtXrr79+zWVfb78VK1ZMc+bMcelzrSBZq1YtPf3002revLkeeeQRzZ071/n+qeLFi8sYo6ioKJUqVSpD2/x3REZGKjU1Vb/++qvL2azdu3en65snT56rvgYycrY0K6TVumfPHpezNr/88kuGnn+t45YZxYsX1/fff69GjRr97eXVqVNHCxcu1Lx583T06FHnzJb0V9h66aWX9M033+j8+fMuw8BndN2Zfe34+Pho/vz5atiwoZo2baqVK1fqrrvu+lvbBuD2wIXEAHAN999/v1JSUvTBBx+4tI8aNUpubm4uI9P5+fld9cOzh4dHurMJ77///jXPYNxIXFzcVc9OpN0vdPmH/KvV5OHhoVatWumLL77Qjz/+mG45x44dS9c2ZcoUnTlzxpn+/PPPdejQIWf7ExIS0g1rXaFCBbm7u99wCG8/P7+rXk6Zdhbh8m3dsGGD1q1bd81lNW7cWJ999pkWLVqkp556yjmL9/DDD8vDw0Ovvvpqun1njNHx48evW2NGpe2P9957z6V99OjR6foWL15cp0+fdrms7tChQ5o7d26W1HIjsbGxkqQxY8a4tGf00jc/Pz9J+kf/NHj00Ud14MABjR8/Pt288+fP6+zZszdcRlqAGjZsmHLnzu0ySuXdd98tT09PZ8j5y8NWRtf9d147QUFBWrx4sQoWLKh77733qmdiAdw5OLMFANfQokULxcTE6KWXXtLevXtVqVIlLVmyRF999ZV69+7tcm9OtWrVtGzZMo0cOVLh4eGKiopSzZo11bx5c02dOlVBQUEqV66c1q1bp2XLlilfvnx/q6aePXvq3Llzeuihh1SmTBklJSVp7dq1mjlzpooWLaqOHTvesKa33npLcXFxqlmzprp27apy5crpxIkT2rp1q5YtW6YTJ064rDNv3ryqU6eOOnbsqCNHjmj06NEqUaKEunbtKumvYcl79OihRx55RKVKldKlS5c0depUJ9hdT7Vq1TRz5kz17dtXNWrUkL+/v1q0aKHmzZtrzpw5euihh9SsWTPt2bNHY8eOVbly5ZSYmHjN5bVs2VITJ05Uu3btFBgYqI8//ljFixfX66+/rgEDBmjv3r1q2bKlAgICtGfPHs2dO1fdunXT888//7eOx+UqV66sxx9/XGPGjNHp06dVu3ZtLV++/Kpni9q0aaMXXnhBDz30kHr16qVz587po48+UqlSpf7WwCmZVa1aNbVq1UqjR4/W8ePHnaHf//e//0m68Zmr4sWLKzg4WGPHjlVAQID8/PxUs2bNTN1b9tRTT2nWrFl6+umnFRcXp3vuuUcpKSn66aefNGvWLC1evPiGl+Hdfffd8vLy0rp169SgQQPnbKYk5c6dW5UqVdK6desUHBzs8lUJGV33333t5M+fX0uXLlWdOnXUuHFjrV69WoUKFcrwvgFwG7m5gx8CwK3ryqHfjTHmzJkzpk+fPiY8PNzkypXLlCxZ0rz99tsmNTXVpd9PP/1k6tWrZ3x9fY0kZ8j1kydPmo4dO5r8+fMbf39/Exsba3766ScTGRnpMix7Rod+X7hwoenUqZMpU6aM8ff3N15eXqZEiRKmZ8+e5siRIxmqyRhjjhw5Yrp3724iIiJMrly5TGhoqGnUqJEZN25cupr++9//mgEDBpiCBQsaX19f06xZM/P77787/X777TfTqVMnU7x4cePj42Py5s1rYmJizLJly264zxMTE80TTzxhgoODjSRnOPTU1FTz5ptvmsjISOPt7W2qVKli5s+fn27I9MuHfr/cmDFjjCTz/PPPO21ffPGFqVOnjvHz8zN+fn6mTJkypnv37mb37t1On8uH777ctYZqv9L58+dNr169TL58+Yyfn59p0aKF2b9//1WHU1+yZIkpX7688fLyMqVLlzbTpk275tDv3bt3v+r6rlxu2vOPHTvm0m/ixIlGktmzZ4/TdvbsWdO9e3eTN29e4+/vb1q2bGl2795tJJm33nrrhtv61VdfmXLlyhlPT0+XYeAzsw+TkpLMsGHDzF133WW8vb1Nnjx5TLVq1cyrr75qTp8+fcMajDEmOjraSDL/+c9/0s3r1auXkWTuu+++dPMys+6/+9r55ZdfTFhYmClbtmy6YwLgzuBmzE26WxYAkKPEx8crJiZGs2fPVuvWrbO7HNwE27ZtU5UqVTRt2jS1bds2u8sBgByPe7YAALgDnT9/Pl3b6NGj5e7urnr16mVDRQBw++GeLQAA7kDDhw/Xli1bFBMTI09PTy1cuFALFy5Ut27dbjjsOgAgYwhbAADcgWrXrq2lS5fqtddeU2JioooUKaLBgwfrpZdeyu7SAOC2wT1bAAAAAGAB92wBAAAAgAWELQAAAACwgHu2MiA1NVUHDx5UQEDADb/oEQAAAMDtyxijM2fOKDw8XO7u1z93RdjKgIMHDzIyEwAAAADH/v37Vbhw4ev2IWxlQEBAgKS/dmhgYGA2VwMAAAAguyQkJCgiIsLJCNdD2MqAtEsHAwMDCVsAAAAAMnR7EQNkAAAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABZ7ZXQAAZIV/L5yS3SXc1kbc1y67SwAAIMfhzBYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwwDO7CwBuJb+smpjdJdz2StTtmN0lAAAA3BSELQAAACAHmLqhW3aXcFt7qua4LF8mlxECAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGCBZ3YXAAAAgJvnl49WZncJt70Sz9TP7hJwi+DMFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwIFvDVkpKil555RVFRUXJ19dXxYsX12uvvSZjjNPHGKOBAwcqLCxMvr6+aty4sX7++WeX5Zw4cUJt27ZVYGCggoOD1blzZyUmJrr0+eGHH1S3bl35+PgoIiJCw4cPvynbCAAAAODOlK1ha9iwYfroo4/0wQcfaNeuXRo2bJiGDx+u999/3+kzfPhwvffeexo7dqw2bNggPz8/xcbG6sKFC06ftm3baseOHVq6dKnmz5+vb7/9Vt26dXPmJyQkqEmTJoqMjNSWLVv09ttva/DgwRo3btxN3V4AAAAAdw7P7Fz52rVr9eCDD6pZs2aSpKJFi+q///2vNm7cKOmvs1qjR4/Wyy+/rAcffFCSNGXKFIWEhOjLL79UmzZttGvXLi1atEibNm1S9erVJUnvv/++7r//fr3zzjsKDw/X9OnTlZSUpAkTJsjLy0t33XWXtm3bppEjR7qEMgAAAADIKtl6Zqt27dpavny5/ve//0mSvv/+e61evVr33XefJGnPnj06fPiwGjdu7DwnKChINWvW1Lp16yRJ69atU3BwsBO0JKlx48Zyd3fXhg0bnD716tWTl5eX0yc2Nla7d+/WyZMn09V18eJFJSQkuDwAAAAAIDOy9czWiy++qISEBJUpU0YeHh5KSUnRG2+8obZt20qSDh8+LEkKCQlxeV5ISIgz7/DhwypYsKDLfE9PT+XNm9elT1RUVLplpM3LkyePy7yhQ4fq1VdfzaKtBAAAAHAnytYzW7NmzdL06dM1Y8YMbd26VZMnT9Y777yjyZMnZ2dZGjBggE6fPu089u/fn631AAAAAMh5svXMVr9+/fTiiy+qTZs2kqQKFSro999/19ChQ9W+fXuFhoZKko4cOaKwsDDneUeOHFHlypUlSaGhoTp69KjLci9duqQTJ044zw8NDdWRI0dc+qRNp/W5nLe3t7y9vbNmIwEAAADckbL1zNa5c+fk7u5agoeHh1JTUyVJUVFRCg0N1fLly535CQkJ2rBhg6KjoyVJ0dHROnXqlLZs2eL0WbFihVJTU1WzZk2nz7fffqvk5GSnz9KlS1W6dOl0lxACAAAAQFbI1rDVokULvfHGG1qwYIH27t2ruXPnauTIkXrooYckSW5uburdu7def/11zZs3T9u3b1e7du0UHh6uli1bSpLKli2rpk2bqmvXrtq4caPWrFmjHj16qE2bNgoPD5ckPfHEE/Ly8lLnzp21Y8cOzZw5U++++6769u2bXZsOAAAA4DaXrZcRvv/++3rllVf07LPP6ujRowoPD9e//vUvDRw40OnTv39/nT17Vt26ddOpU6dUp04dLVq0SD4+Pk6f6dOnq0ePHmrUqJHc3d3VqlUrvffee878oKAgLVmyRN27d1e1atWUP39+DRw4kGHfAQAAAFiTrWErICBAo0eP1ujRo6/Zx83NTUOGDNGQIUOu2Sdv3ryaMWPGdddVsWJFrVq16u+WCgAAAACZkq2XEQIAAADA7YqwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACzI1u/ZAgDg6Ef9s7uE21rBZ4ZndwkAcMfizBYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABbwPVsAACDTxkxbnd0l3PaefbJOdpcA4B/izBYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACzwzO4CbkcHN96f3SXc9sLv/ia7SwAAAACuizNbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAXZHrYOHDigJ598Uvny5ZOvr68qVKigzZs3O/ONMRo4cKDCwsLk6+urxo0b6+eff3ZZxokTJ9S2bVsFBgYqODhYnTt3VmJiokufH374QXXr1pWPj48iIiI0fPjwm7J9AAAAAO5M2Rq2Tp48qXvuuUe5cuXSwoULtXPnTo0YMUJ58uRx+gwfPlzvvfeexo4dqw0bNsjPz0+xsbG6cOGC06dt27basWOHli5dqvnz5+vbb79Vt27dnPkJCQlq0qSJIiMjtWXLFr399tsaPHiwxo0bd1O3FwAAAMCdwzM7Vz5s2DBFRERo4sSJTltUVJTzszFGo0eP1ssvv6wHH3xQkjRlyhSFhIToyy+/VJs2bbRr1y4tWrRImzZtUvXq1SVJ77//vu6//3698847Cg8P1/Tp05WUlKQJEybIy8tLd911l7Zt26aRI0e6hDIAAAAAyCrZemZr3rx5ql69uh555BEVLFhQVapU0fjx4535e/bs0eHDh9W4cWOnLSgoSDVr1tS6deskSevWrVNwcLATtCSpcePGcnd314YNG5w+9erVk5eXl9MnNjZWu3fv1smTJ9PVdfHiRSUkJLg8AAAAACAzsjVs/fbbb/roo49UsmRJLV68WM8884x69eqlyZMnS5IOHz4sSQoJCXF5XkhIiDPv8OHDKliwoMt8T09P5c2b16XP1ZZx+TouN3ToUAUFBTmPiIiILNhaAAAAAHeSbA1bqampqlq1qt58801VqVJF3bp1U9euXTV27NjsLEsDBgzQ6dOnncf+/fuztR4AAAAAOU+2hq2wsDCVK1fOpa1s2bLat2+fJCk0NFSSdOTIEZc+R44cceaFhobq6NGjLvMvXbqkEydOuPS52jIuX8flvL29FRgY6PIAAAAAgMzI1rB1zz33aPfu3S5t//vf/xQZGSnpr8EyQkNDtXz5cmd+QkKCNmzYoOjoaElSdHS0Tp06pS1btjh9VqxYodTUVNWsWdPp8+233yo5Odnps3TpUpUuXdpl5EMAAAAAyCrZGrb69Omj9evX680339Qvv/yiGTNmaNy4cerevbskyc3NTb1799brr7+uefPmafv27WrXrp3Cw8PVsmVLSX+dCWvatKm6du2qjRs3as2aNerRo4fatGmj8PBwSdITTzwhLy8vde7cWTt27NDMmTP17rvvqm/fvtm16QAAAABuc9k69HuNGjU0d+5cDRgwQEOGDFFUVJRGjx6ttm3bOn369++vs2fPqlu3bjp16pTq1KmjRYsWycfHx+kzffp09ejRQ40aNZK7u7tatWql9957z5kfFBSkJUuWqHv37qpWrZry58+vgQMHMuw7AAAAAGuyNWxJUvPmzdW8efNrzndzc9OQIUM0ZMiQa/bJmzevZsyYcd31VKxYUatWrfrbdQIAAABAZmTrZYQAAAAAcLsibAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwIEvC1qlTp7JiMQAAAABw28h02Bo2bJhmzpzpTD/66KPKly+fChUqpO+//z5LiwMAAACAnCrTYWvs2LGKiIiQJC1dulRLly7VwoULdd9996lfv35ZXiAAAAAA5ESemX3C4cOHnbA1f/58Pfroo2rSpImKFi2qmjVrZnmBAAAAAJATZfrMVp48ebR//35J0qJFi9S4cWNJkjFGKSkpWVsdAAAAAORQmT6z9fDDD+uJJ55QyZIldfz4cd13332SpO+++04lSpTI8gIBAAAAICfKdNgaNWqUihYtqv3792v48OHy9/eXJB06dEjPPvtslhcIAAAAADlRpsNWrly59Pzzz6dr79OnT5YUBAAAAAC3g0yHLUnavXu33n//fe3atUuSVLZsWfXs2VOlS5fO0uIAAAAAIKfK9AAZX3zxhcqXL68tW7aoUqVKqlSpkrZu3ary5cvriy++sFEjAAAAAOQ4mT6z1b9/fw0YMEBDhgxxaR80aJD69++vVq1aZVlxAAAAAJBTZfrM1qFDh9SuXbt07U8++aQOHTqUJUUBAAAAQE6X6bDVoEEDrVq1Kl376tWrVbdu3SwpCgAAAAByukxfRvjAAw/ohRde0JYtW1SrVi1J0vr16zV79my9+uqrmjdvnktfAAAAALgTZTpspX2X1pgxYzRmzJirzpMkNzc3paSk/MPyAAAAACBnynTYSk1NtVEHAAAAANxWMn3P1uUuXLiQVXUAAAAAwG0l02ErJSVFr732mgoVKiR/f3/99ttvkqRXXnlFn376aZYXCAAAAAA5UabD1htvvKFJkyZp+PDh8vLyctrLly+vTz75JEuLAwAAAICcKtNha8qUKRo3bpzatm0rDw8Pp71SpUr66aefsrQ4AAAAAMipMh22Dhw4oBIlSqRrT01NVXJycpYUBQAAAAA5XabDVrly5a76pcaff/65qlSpkiVFAQAAAEBOl+mh3wcOHKj27dvrwIEDSk1N1Zw5c7R7925NmTJF8+fPt1EjAAAAAOQ4mT6z9eCDD+rrr7/WsmXL5Ofnp4EDB2rXrl36+uuvde+999qoEQAAAABynEyf2ZKkunXraunSpVldCwAAAADcNjJ9ZqtYsWI6fvx4uvZTp06pWLFiWVIUAAAAAOR0mQ5be/fuVUpKSrr2ixcv6sCBA1lSFAAAAADkdBm+jHDevHnOz4sXL1ZQUJAznZKSouXLl6to0aJZWhwAAAAA5FQZDlstW7aUJLm5ual9+/Yu83LlyqWiRYtqxIgRWVocAAAAAORUGQ5bqampkqSoqCht2rRJ+fPnt1YUAAAAAOR0mR6NcM+ePTbqAAAAAIDbSoYHyFi3bl26Ly2eMmWKoqKiVLBgQXXr1k0XL17M8gIBAAAAICfKcNgaMmSIduzY4Uxv375dnTt3VuPGjfXiiy/q66+/1tChQ60UCQAAAAA5TYbD1rZt29SoUSNn+rPPPlPNmjU1fvx49e3bV++9955mzZplpUgAAAAAyGkyHLZOnjypkJAQZ3rlypW67777nOkaNWpo//79WVsdAAAAAORQGQ5bISEhzuAYSUlJ2rp1q2rVquXMP3PmjHLlypX1FQIAAABADpThsHX//ffrxRdf1KpVqzRgwADlzp1bdevWdeb/8MMPKl68uJUiAQAAACCnyfDQ76+99poefvhh1a9fX/7+/po8ebK8vLyc+RMmTFCTJk2sFAkAAAAAOU2Gw1b+/Pn17bff6vTp0/L395eHh4fL/NmzZ8vf3z/LCwQAAACAnCjTX2ocFBR01fa8efP+42IAAAAA4HaR4Xu2AAAAAAAZR9gCAAAAAAsIWwAAAABgAWELAAAAACzI0AAZ8+bNy/ACH3jggb9dDAAAAADcLjIUtlq2bJmhhbm5uSklJeWf1AMAAAAAt4UMha3U1FTbdQAAAADAbYV7tgAAAADAgkx/qbEknT17VitXrtS+ffuUlJTkMq9Xr15ZUhgAAAAA5GSZDlvfffed7r//fp07d05nz55V3rx59eeffyp37twqWLAgYQsAAAAA9DcuI+zTp49atGihkydPytfXV+vXr9fvv/+uatWq6Z133rFRIwAAAADkOJkOW9u2bdO///1vubu7y8PDQxcvXlRERISGDx+u//znPzZqBAAAAIAcJ9NhK1euXHJ3/+tpBQsW1L59+yRJQUFB2r9/f9ZWBwAAAAA5VKbv2apSpYo2bdqkkiVLqn79+ho4cKD+/PNPTZ06VeXLl7dRIwAAAADkOJk+s/Xmm28qLCxMkvTGG28oT548euaZZ3Ts2DF9/PHHWV4gAAAAAOREmT6zVb16defnggULatGiRVlaEAAAAADcDjJ9Zqthw4Y6depUuvaEhAQ1bNgwK2oCAAAAgBwv02ErPj4+3RcZS9KFCxe0atWqLCkKAAAAAHK6DF9G+MMPPzg/79y5U4cPH3amU1JStGjRIhUqVChrqwMAAACAHCrDYaty5cpyc3OTm5vbVS8X9PX11fvvv5+lxQEAAABATpXhsLVnzx4ZY1SsWDFt3LhRBQoUcOZ5eXmpYMGC8vDwsFIkAAAAAOQ0GQ5bkZGRkqTU1FRrxQAAAADA7SLTQ79L0q+//qrRo0dr165dkqRy5crpueeeU/HixbO0OAAAAADIqTI9GuHixYtVrlw5bdy4URUrVlTFihW1YcMG3XXXXVq6dKmNGgEAAAAgx8n0ma0XX3xRffr00VtvvZWu/YUXXtC9996bZcUBAAAAQE6V6TNbu3btUufOndO1d+rUSTt37sySogAAAAAgp8t02CpQoIC2bduWrn3btm0qWLBgVtQEAAAAADlehi8jHDJkiJ5//nl17dpV3bp102+//abatWtLktasWaNhw4apb9++1goFAAAAgJwkw2Hr1Vdf1dNPP61XXnlFAQEBGjFihAYMGCBJCg8P1+DBg9WrVy9rhQIAAABATpLhsGWMkSS5ubmpT58+6tOnj86cOSNJCggIsFMdAAAAAORQmRqN0M3NzWWakAUAAAAAV5epsFWqVKl0getKJ06c+EcFAQAAAMDtIFNh69VXX1VQUJCtWgAAAADgtpGpsNWmTRuGdwcAAACADMjw92zd6PJBAAAAAMD/yXDYShuNEAAAAABwYxm+jDA1NdVmHQAAAABwW8nwmS0AAAAAQMYRtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALDglglbb731ltzc3NS7d2+n7cKFC+revbvy5csnf39/tWrVSkeOHHF53r59+9SsWTPlzp1bBQsWVL9+/XTp0iWXPvHx8apataq8vb1VokQJTZo06SZsEQAAAIA72S0RtjZt2qSPP/5YFStWdGnv06ePvv76a82ePVsrV67UwYMH9fDDDzvzU1JS1KxZMyUlJWnt2rWaPHmyJk2apIEDBzp99uzZo2bNmikmJkbbtm1T79691aVLFy1evPimbR8AAACAO0+2h63ExES1bdtW48ePV548eZz206dP69NPP9XIkSPVsGFDVatWTRMnTtTatWu1fv16SdKSJUu0c+dOTZs2TZUrV9Z9992n1157TR9++KGSkpIkSWPHjlVUVJRGjBihsmXLqkePHmrdurVGjRp1zZouXryohIQElwcAAAAAZEa2h63u3burWbNmaty4sUv7li1blJyc7NJepkwZFSlSROvWrZMkrVu3ThUqVFBISIjTJzY2VgkJCdqxY4fT58plx8bGOsu4mqFDhyooKMh5RERE/OPtBAAAAHBnydaw9dlnn2nr1q0aOnRounmHDx+Wl5eXgoODXdpDQkJ0+PBhp8/lQSttftq86/VJSEjQ+fPnr1rXgAEDdPr0aeexf//+v7V9AAAAAO5cntm14v379+u5557T0qVL5ePjk11lXJW3t7e8vb2zuwwAAAAAOVi2ndnasmWLjh49qqpVq8rT01Oenp5auXKl3nvvPXl6eiokJERJSUk6deqUy/OOHDmi0NBQSVJoaGi60QnTpm/UJzAwUL6+vpa2DgAAAMCdLtvCVqNGjbR9+3Zt27bNeVSvXl1t27Z1fs6VK5eWL1/uPGf37t3at2+foqOjJUnR0dHavn27jh496vRZunSpAgMDVa5cOafP5ctI65O2DAAAAACwIdsuIwwICFD58uVd2vz8/JQvXz6nvXPnzurbt6/y5s2rwMBA9ezZU9HR0apVq5YkqUmTJipXrpyeeuopDR8+XIcPH9bLL7+s7t27O5cBPv300/rggw/Uv39/derUSStWrNCsWbO0YMGCm7vBAAAAAO4o2Ra2MmLUqFFyd3dXq1atdPHiRcXGxmrMmDHOfA8PD82fP1/PPPOMoqOj5efnp/bt22vIkCFOn6ioKC1YsEB9+vTRu+++q8KFC+uTTz5RbGxsdmwSAAAAgDvELRW24uPjXaZ9fHz04Ycf6sMPP7zmcyIjI/XNN99cd7kNGjTQd999lxUlAgAAAECGZPv3bAEAAADA7YiwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACzI1rA1dOhQ1ahRQwEBASpYsKBatmyp3bt3u/S5cOGCunfvrnz58snf31+tWrXSkSNHXPrs27dPzZo1U+7cuVWwYEH169dPly5dcukTHx+vqlWrytvbWyVKlNCkSZNsbx4AAACAO1i2hq2VK1eqe/fuWr9+vZYuXark5GQ1adJEZ8+edfr06dNHX3/9tWbPnq2VK1fq4MGDevjhh535KSkpatasmZKSkrR27VpNnjxZkyZN0sCBA50+e/bsUbNmzRQTE6Nt27apd+/e6tKlixYvXnxTtxcAAADAncMzO1e+aNEil+lJkyapYMGC2rJli+rVq6fTp0/r008/1YwZM9SwYUNJ0sSJE1W2bFmtX79etWrV0pIlS7Rz504tW7ZMISEhqly5sl577TW98MILGjx4sLy8vDR27FhFRUVpxIgRkqSyZctq9erVGjVqlGJjY2/6dgMAAAC4/d1S92ydPn1akpQ3b15J0pYtW5ScnKzGjRs7fcqUKaMiRYpo3bp1kqR169apQoUKCgkJcfrExsYqISFBO3bscPpcvoy0PmnLuNLFixeVkJDg8gAAAACAzLhlwlZqaqp69+6te+65R+XLl5ckHT58WF5eXgoODnbpGxISosOHDzt9Lg9aafPT5l2vT0JCgs6fP5+ulqFDhyooKMh5REREZMk2AgAAALhz3DJhq3v37vrxxx/12WefZXcpGjBggE6fPu089u/fn90lAQAAAMhhsvWerTQ9evTQ/Pnz9e2336pw4cJOe2hoqJKSknTq1CmXs1tHjhxRaGio02fjxo0uy0sbrfDyPleOYHjkyBEFBgbK19c3XT3e3t7y9vbOkm0DAAAAcGfK1jNbxhj16NFDc+fO1YoVKxQVFeUyv1q1asqVK5eWL1/utO3evVv79u1TdHS0JCk6Olrbt2/X0aNHnT5Lly5VYGCgypUr5/S5fBlpfdKWAQAAAABZLVvPbHXv3l0zZszQV199pYCAAOceq6CgIPn6+iooKEidO3dW3759lTdvXgUGBqpnz56Kjo5WrVq1JElNmjRRuXLl9NRTT2n48OE6fPiwXn75ZXXv3t05O/X000/rgw8+UP/+/dWpUyetWLFCs2bN0oIFC7Jt2wEAAADc3rL1zNZHH32k06dPq0GDBgoLC3MeM2fOdPqMGjVKzZs3V6tWrVSvXj2FhoZqzpw5znwPDw/Nnz9fHh4eio6O1pNPPql27dppyJAhTp+oqCgtWLBAS5cuVaVKlTRixAh98sknDPsOAAAAwJpsPbNljLlhHx8fH3344Yf68MMPr9knMjJS33zzzXWX06BBA3333XeZrhEAAAAA/o5bZjRCAAAAALidELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFhC2AAAAAMACwhYAAAAAWEDYAgAAAAALCFsAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAAADAAsIWAAAAAFhA2AIAAAAACwhbAAAAAGABYQsAAAAALCBsAQAAAIAFhC0AAAAAsICwBQAAAAAWELYAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALDgjgpbH374oYoWLSofHx/VrFlTGzduzO6SAAAAANym7piwNXPmTPXt21eDBg3S1q1bValSJcXGxuro0aPZXRoAAACA29AdE7ZGjhyprl27qmPHjipXrpzGjh2r3Llza8KECdldGgAAAIDbkGd2F3AzJCUlacuWLRowYIDT5u7ursaNG2vdunXp+l+8eFEXL150pk+fPi1JSkhIyND6ziQm/8OKcSMZPRaZdebseSvLxf+xdewunuPY2WTruEnSmfMXb9wJf5uPpWN3/vxZK8vF/7H2t45jZ52tY3f+bJKV5eIvGT1uaf2MMTfs62Yy0iuHO3jwoAoVKqS1a9cqOjraae/fv79WrlypDRs2uPQfPHiwXn311ZtdJgAAAIAcYv/+/SpcuPB1+9wRZ7Yya8CAAerbt68znZqaqhMnTihfvnxyc3PLxsrsSEhIUEREhPbv36/AwMDsLgcZxHHLuTh2ORfHLufi2OVMHLec63Y+dsYYnTlzRuHh4Tfse0eErfz588vDw0NHjhxxaT9y5IhCQ0PT9ff29pa3t7dLW3BwsM0SbwmBgYG33ZvhTsBxy7k4djkXxy7n4tjlTBy3nOt2PXZBQUEZ6ndHDJDh5eWlatWqafny5U5bamqqli9f7nJZIQAAAABklTvizJYk9e3bV+3bt1f16tV19913a/To0Tp79qw6duyY3aUBAAAAuA3dMWHrscce07FjxzRw4EAdPnxYlStX1qJFixQSEpLdpWU7b29vDRo0KN2lk7i1cdxyLo5dzsWxy7k4djkTxy3n4tj95Y4YjRAAAAAAbrY74p4tAAAAALjZCFsAAAAAYAFhCwAAAAAsIGzhugYPHqzKlStndxn4Gzh2OZ+bm5u+/PLL7C7jthUfHy83NzedOnUqW+vgOP+fW+WYpClatKhGjx6d3WXcEW70Pti7d6/c3Ny0bdu2m1YTbq4OHTqoZcuW2V1GliNs5RDHjh3TM888oyJFisjb21uhoaGKjY3VmjVrsrs0XEWHDh3k5uamp59+Ot287t27y83NTR06dLj5heGa3NzcrvsYPHhwdpd4xxg7dqwCAgJ06dIlpy0xMVG5cuVSgwYNXPqmfTj/9ddfb3KVyCzeY3eWtL+DVz5++eWXq/Y/dOiQ7rvvvptc5Z3jn36OnDRpkoKDg+0WeZu6Y4Z+z+latWqlpKQkTZ48WcWKFdORI0e0fPlyHT9+PLtLwzVERETos88+06hRo+Tr6ytJunDhgmbMmKEiRYpkc3W40qFDh5yfZ86cqYEDB2r37t1Om7+/f3aUdUeKiYlRYmKiNm/erFq1akmSVq1apdDQUG3YsEEXLlyQj4+PJCkuLk5FihRR8eLFs7NkZEBG3mObN2+2su6kpCR5eXlZWTaurWnTppo4caJLW4ECBVym045NaGjozSztjnMrfY5MTk5Wrly5bvp6swtntnKAU6dOadWqVRo2bJhiYmIUGRmpu+++WwMGDNADDzxw1VPrp06dkpubm+Lj4yX9339/ly9frurVqyt37tyqXbu2yx86SXrrrbcUEhKigIAAde7cWRcuXHCZv2nTJt17773Knz+/goKCVL9+fW3dutWZ36lTJzVv3tzlOcnJySpYsKA+/fTTrN0xt7iqVasqIiJCc+bMcdrmzJmjIkWKqEqVKk7bxYsX1atXLxUsWFA+Pj6qU6eONm3a5Mzn2N0coaGhziMoKEhubm7O9NixY1WnTh2X/qNHj1bRokVd2j755BOVLVtWPj4+KlOmjMaMGePMS0pKUo8ePRQWFiYfHx9FRkZq6NChzvyff/5Z9erVk4+Pj8qVK6elS5emq/GFF15QqVKllDt3bhUrVkyvvPKKkpOTJf11iY27u3u6D6ujR49WZGSkUlNT/+kuumlKly6tsLAw5/eX9Nf74MEHH1RUVJTWr1/v0h4TE6PU1FQNHTpUUVFR8vX1VaVKlfT555+7LPebb75RqVKl5Ovrq5iYGO3du9dlftp/bhcvXqyyZcvK399fTZs2dQkJEsf577reeyw0NNTlHxpbtmy55u+7q11q1Lt3b5ezng0aNFCPHj3Uu3dv5c+fX7GxsTLGaPDgwc5/9sPDw9WrVy/nOUePHlWLFi3k6+urqKgoTZ8+Pd02jBw5UhUqVJCfn58iIiL07LPPKjExUZJ09uxZBQYGpnvdffnll/Lz89OZM2f+ye7LkdLOoFz+aNSoUbpjI6W/jHDjxo2qUqWKfHx8VL16dX333Xcuy05JSVHnzp2d93zp0qX17rvvOvO//fZb5cqVS4cPH3Z5Xu/evVW3bl17G30LutHnSOn6r+34+Hh17NhRp0+fTncm+mqXfwYHB2vSpEmS/u/yz5kzZ6p+/fry8fHR9OnTlZKSor59+yo4OFj58uVT//79deW3US1atEh16tRx+jRv3tzlKoaGDRuqR48eLs85duyYvLy8tHz58izcg/8MYSsH8Pf3l7+/v7788ktdvHjxHy3rpZde0ogRI7R582Z5enqqU6dOzrxZs2Zp8ODBevPNN7V582aFhYW5fIiQpDNnzqh9+/ZavXq11q9fr5IlS+r+++93/oh06dJFixYtcvlwMn/+fJ07d06PPfbYP6o9J+rUqZPLf/UmTJigjh07uvTp37+/vvjiC02ePFlbt25ViRIlFBsbqxMnTrj049jd2qZPn66BAwfqjTfe0K5du/Tmm2/qlVde0eTJkyVJ7733nubNm6dZs2Zp9+7dmj59uhPWUlNT9fDDD8vLy0sbNmzQ2LFj9cILL6RbR0BAgCZNmqSdO3fq3Xff1fjx4zVq1ChJf91b0rhx43T/RZ44caI6dOggd/ec9es+JiZGcXFxznRcXJwaNGig+vXrO+3nz5/Xhg0bFBMTo6FDh2rKlCkaO3asduzYoT59+ujJJ5/UypUrJUn79+/Xww8/rBYtWmjbtm3q0qWLXnzxxXTrPXfunN555x1NnTpV3377rfbt26fnn3/emc9xvjmu9/suoyZPniwvLy+tWbNGY8eO1RdffKFRo0bp448/1s8//6wvv/xSFSpUcPp36NBB+/fvV1xcnD7//HONGTNGR48edVmmu7u73nvvPe3YsUOTJ0/WihUr1L9/f0mSn5+f2rRpc9Vj07p1awUEBPyNPXF7uvLYXCkxMVHNmzdXuXLltGXLFg0ePNjlfSj99X4qXLiwZs+erZ07d2rgwIH6z3/+o1mzZkmS6tWrp2LFimnq1KnOc5KTkzV9+vS/9XrKyTLyOfJ6r+3atWtr9OjRCgwM1KFDh3To0KF0x+NGXnzxRT333HPatWuXYmNjNWLECE2aNEkTJkzQ6tWrdeLECc2dO9flOWfPnlXfvn21efNmLV++XO7u7nrooYecfyp16dJFM2bMcNmmadOmqVChQmrYsGGm6rPKIEf4/PPPTZ48eYyPj4+pXbu2GTBggPn++++NMcbs2bPHSDLfffed0//kyZNGkomLizPGGBMXF2ckmWXLljl9FixYYCSZ8+fPG2OMiY6ONs8++6zLemvWrGkqVap0zbpSUlJMQECA+frrr522cuXKmWHDhjnTLVq0MB06dPi7m54jtW/f3jz44IPm6NGjxtvb2+zdu9fs3bvX+Pj4mGPHjpkHH3zQtG/f3iQmJppcuXKZ6dOnO89NSkoy4eHhZvjw4cYYjl12mDhxogkKCnKmBw0alG5fjho1ykRGRjrTxYsXNzNmzHDp89prr5no6GhjjDE9e/Y0DRs2NKmpqenWt3jxYuPp6WkOHDjgtC1cuNBIMnPnzr1mnW+//bapVq2aMz1z5kyTJ08ec+HCBWOMMVu2bDFubm5mz549N9jiW8/48eONn5+fSU5ONgkJCcbT09McPXrUzJgxw9SrV88YY8zy5cuNJLN3716TO3dus3btWpdldO7c2Tz++OPGGGMGDBhgypUr5zL/hRdeMJLMyZMnjTF/HXdJ5pdffnH6fPjhhyYkJMSZ5jhnjSvfY2ky8vsu7ffr5Z577jlTv359Z7p+/fqmSpUqLn1GjBhhSpUqZZKSktKtd/fu3UaS2bhxo9O2a9cuI8mMGjXqmtsxe/Zsky9fPmd6w4YNxsPDwxw8eNAYY8yRI0eMp6eniY+Pv+Yyblft27c3Hh4exs/Pz3m0bt36qsfGGOPyPvj4449Nvnz5nGNujDEfffRRus86V+revbtp1aqVMz1s2DBTtmxZZ/qLL74w/v7+JjEx8Z9vYA5zvc+RV3Pla/ta79mr/f4KCgoyEydONMb832fU0aNHu/QJCwtzPucYY0xycrIpXLhwuvf25Y4dO2Ykme3btxtjjDl//rzJkyePmTlzptOnYsWKZvDgwddcRna4Pf4Fdgdo1aqVDh48qHnz5qlp06aKj49X1apVndO0GVWxYkXn57CwMEly/nO3a9cu1axZ06V/dHS0y/SRI0fUtWtXlSxZUkFBQQoMDFRiYqL27dvn9OnSpYvzn70jR45o4cKFd9x/kdIUKFBAzZo106RJkzRx4kQ1a9ZM+fPnd+b/+uuvSk5O1j333OO05cqVS3fffbd27drlsiyO3a3r7Nmz+vXXX9W5c2fnP4j+/v56/fXXnUseOnTooG3btql06dLq1auXlixZ4jx/165dioiIUHh4uNN25fGT/rrP5Z577nEuuXr55Zddjl/Lli3l4eHh/Hdw0qRJiomJSXe5Y07QoEEDnT17Vps2bdKqVatUqlQpFShQQPXr13fu24qPj1exYsWUmJioc+fO6d5773XZ/1OmTHH2f0beI5KUO3dul/u/wsLCnPcZx/nmud7vu4yqVq2ay/Qjjzyi8+fPq1ixYuratavmzp3rDMKya9cueXp6ujynTJky6QYEWLZsmRo1aqRChQopICBATz31lI4fP65z585Jku6++27dddddzpnOadOmKTIyUvXq1ctU7beLmJgYbdu2zXm89957ktIfmyvt2rVLFStWdO7NlK7+Xvnwww9VrVo1FShQQP7+/ho3bpzLe6VDhw765ZdfnEuPJ02apEcffVR+fn5ZsXk5yo0+R97otf1PVa9e3fn59OnTOnTokMvvZE9PT5c+0l+XXT/++OMqVqyYAgMDnd9xacfYx8dHTz31lCZMmCBJ2rp1q3788cdbbgAywlYO4uPjo3vvvVevvPKK1q5dqw4dOmjQoEHOZSPmsmtd067vv9LlNyS6ublJUqau8W/fvr22bdumd999V2vXrtW2bduUL18+JSUlOX3atWun3377TevWrdO0adMUFRV1x10ffblOnTpp0qRJmjx58j8KLhy77OPu7p7uWvLL32Np17WPHz/e5YPFjz/+6PyRr1q1qvbs2aPXXntN58+f16OPPqrWrVtnuIZ169apbdu2uv/++zV//nx99913eumll1yOn5eXl9q1a6eJEycqKSlJM2bMyLFhuUSJEipcuLDi4uIUFxen+vXrS5LCw8MVERGhtWvXKi4uTg0bNnT2/4IFC1z2/86dO9PdP3MjV9607ebm5hx7jvPNc73fdzd6P6a58gN1RESEdu/erTFjxsjX11fPPvus6tWrd82/l1fau3evmjdvrooVK+qLL77Qli1b9OGHH0qSy/Hp0qWL8wF24sSJ6tixo7MNdxo/Pz+VKFHCeaQF56wIO5999pmef/55de7cWUuWLNG2bdvUsWNHl2NRsGBBtWjRQhMnTuQfiLr258iMvrav5vLfkWky8n7MiBYtWujEiRMaP368NmzYoA0bNqSrqUuXLlq6dKn++OMPTZw4UQ0bNlRkZGSm12UToxHmYOXKldOXX37pjOxz6NAhZ+CFv/M9FGXLltWGDRvUrl07p+3yG9Elac2aNRozZozuv/9+SX/dB/Hnn3+69MmXL59atmypiRMnat26denuUbrTNG3aVElJSXJzc3NuBE5TvHhx57r1tF8OycnJ2rRpk3r37p3hdXDs7CpQoIAOHz4sY4zzoeny91hISIjCw8P122+/qW3bttdcTmBgoB577DE99thjat26tZo2baoTJ06obNmy2r9/vw4dOuR8GLny+K1du1aRkZF66aWXnLbff/893Tq6dOmi8uXLa8yYMbp06ZIefvjhf7Lp2SomJkbx8fE6efKk+vXr57TXq1dPCxcu1MaNG/XMM8+oXLly8vb21r59+5xQdqWyZctq3rx5Lm1X7uMb4TjfGgoUKKAff/zRpW3btm0ZGt3M19dXLVq0UIsWLdS9e3eVKVNG27dvV5kyZXTp0iVt2bJFNWrUkCTt3r3b5fu+tmzZotTUVI0YMcL5J2fa/UGXe/LJJ9W/f3+999572rlzp9q3b/8PtvbOVLZsWU2dOtVl5NGr/U2rXbu2nn32Waftal8B0aVLFz3++OMqXLiwihcv7nIlyZ0u7XNkRl7bXl5eSklJSbeMAgUKuNzr/fPPP9/wbFhQUJDCwsK0YcMG56xv2vuvatWqkqTjx49r9+7dGj9+vPNP39WrV6dbVoUKFVS9enWNHz9eM2bM0AcffJCJPXBzELZygOPHj+uRRx5Rp06dVLFiRQUEBGjz5s0aPny4HnzwQfn6+qpWrVp66623FBUVpaNHj+rll1/O9Hqee+45dejQQdWrV9c999yj6dOna8eOHSpWrJjTp2TJkpo6daqqV6+uhIQE9evXzxnW/HJdunRR8+bNlZKScsf/ofHw8HAuCfTw8HCZ5+fnp2eeeUb9+vVT3rx5VaRIEQ0fPlznzp1T586dM7wOjp1dDRo00LFjxzR8+HC1bt1aixYt0sKFCxUYGOj0efXVV9WrVy8FBQWpadOmunjxojZv3qyTJ0+qb9++GjlypMLCwlSlShW5u7tr9uzZCg0NVXBwsBo3bqxSpUqpffv2evvtt5WQkODyYVv66/jt27dPn332mWrUqKEFCxaku5lY+utDSq1atfTCCy+oU6dOVz3GOUVMTIy6d++u5ORklxBVv3599ejRQ0lJSYqJiVFAQICef/559enTR6mpqapTp45Onz6tNWvWKDAwUO3bt9fTTz+tESNGqF+/furSpYu2bNmS6cuwJY7zraBhw4Z6++23NWXKFEVHR2vatGn68ccfXUZ5vZpJkyYpJSVFNWvWVO7cuTVt2jT5+voqMjJS+fLlU9OmTfWvf/1LH330kTw9PdW7d2+X/VqiRAklJyfr/fffV4sWLa45uEOePHn08MMPq1+/fmrSpIkKFy6c5fvgdvfEE0/opZdeUteuXTVgwADt3btX77zzjkufkiVLasqUKVq8eLGioqI0depUbdq0SVFRUS79YmNjFRgYqNdff11Dhgy5mZtxy7jR58iMvLaLFi2qxMRELV++XJUqVVLu3LmVO3duNWzYUB988IGio6OVkpKiF154IUP/+Hjuuef01ltvqWTJkipTpoxGjhzp8s+NPHnyKF++fBo3bpzCwsK0b9++qw5qJP31uaVHjx7y8/PTQw899I/2lRXZecMYMubChQvmxRdfNFWrVjVBQUEmd+7cpnTp0ubll182586dM8YYs3PnThMdHW18fX1N5cqVzZIlS646QEbajeDGGPPdd98ZSS43Vb/xxhsmf/78xt/f37Rv397079/fZWCArVu3murVqxsfHx9TsmRJM3v2bBMZGZnuBuLU1FQTGRlp7r//fkt75dZ2tRu4L5c2QIYxf93g2bNnT5M/f37j7e1t7rnnHpebtDl2N9/VbgT+6KOPTEREhPHz8zPt2rUzb7zxhssAGcYYM336dFO5cmXj5eVl8uTJY+rVq2fmzJljjDFm3LhxpnLlysbPz88EBgaaRo0ama1btzrP3b17t6lTp47x8vIypUqVMosWLUp343G/fv1Mvnz5jL+/v3nsscfMqFGjrnrD8qeffpruZv+cKO3G6jJlyri0792710gypUuXdtpSU1PN6NGjTenSpU2uXLlMgQIFTGxsrFm5cqXT5+uvvzYlSpQw3t7epm7dumbChAnpBsi4cn/OnTvXXPmnkuP8z91ogIwb/b4bOHCgCQkJMUFBQaZPnz6mR48e6QbIeO6551yWPXfuXFOzZk0TGBho/Pz8TK1atVwG4jh06JBp1qyZ8fb2NkWKFDFTpkxJ9zty5MiRJiwszPj6+prY2FgzZcqUdPUa83+Dt8yaNetv7J3bw7X+Dl7t2BiTfqCFdevWmUqVKhkvLy9TuXJl88UXX7gMkHHhwgXToUMHExQUZIKDg80zzzxjXnzxxasODPXKK6+4DFxyp8nI58iMvLaffvppky9fPiPJDBo0yBhjzIEDB0yTJk2Mn5+fKVmypPnmm2+uOkDGlQObJCcnm+eee84EBgaa4OBg07dvX9OuXTuX18zSpUtN2bJljbe3t6lYsaKJj4+/6oAcZ86cMblz5043UNitws2YKy60BLJAYmKiChUqpIkTJ95Rl7fcDjh2Od9rr72m2bNn64cffsjuUmARx/nWNXXqVPXp00cHDx7ky5RvAZ07d9axY8fSXUqM28PevXtVvHhxbdq0ybkM8VbCZYTIUqmpqfrzzz81YsQIBQcHO1+Wh1sfxy7nS0xM1N69e/XBBx/o9ddfz+5yYAnH+dZ17tw5HTp0SG+99Zb+9a9/EbSy2enTp7V9+3bNmDGDoHUbSk5O1vHjx/Xyyy+rVq1at2TQkhiNEFls3759CgkJ0YwZMzRhwgR5epLncwqOXc7Xo0cPVatWTQ0aNLijR9y63XGcb13Dhw9XmTJlFBoaqgEDBmR3OXe8Bx98UE2aNNHTTz+te++9N7vLQRZbs2aNwsLCtGnTpqveP3mr4DJCAAAAALCAM1sAAAAAYAFhCwAAAAAsIGwBAAAAgAWELQAAAACwgLAFAAAAABYQtgAAuIYGDRqod+/emXpOhw4d1LJlSyv1AAByFsIWAOCWN3bsWAUEBOjSpUtOW2JionLlyqUGDRq49I2Pj5ebm5t+/fXXm1wlAACuCFsAgFteTEyMEhMTtXnzZqdt1apVCg0N1YYNG3ThwgWnPS4uTkWKFFHx4sWzo1QAAByELQDALa906dIKCwtTfHy80xYfH68HH3xQUVFRWr9+vUt7TEyMUlNTNXToUEVFRcnX11eVKlXS559/7rLcH3/8Uffdd5/8/f0VEhKip556Sn/++ec161iwYIGCgoI0ffp0SVJKSor69u2r4OBg5cuXT/3795cxxuU5ixYtUp06dZw+zZs3dznr1rBhQ/Xo0cPlOceOHZOXl5eWL18uSRozZoxKliwpHx8fhYSEqHXr1pnbgQCAbEHYAgDkCDExMYqLi3Om4+Li1KBBA9WvX99pP3/+vDZs2KCYmBgNHTpUU6ZM0dixY7Vjxw716dNHTz75pFauXClJOnXqlBo2bKgqVapo8+bNWrRokY4cOaJHH330quufMWOGHn/8cU2fPl1t27aVJI0YMUKTJk3ShAkTtHr1ap04cUJz5851ed7Zs2fVt29fbd68WcuXL5e7u7seeughpaamSpK6dOmiGTNm6OLFi85zpk2bpkKFCqlhw4bavHmzevXqpSFDhmj37t1atGiR6tWrl3U7FgBgjZu58l9wAADcgj755BP17t1bp06d0vnz55U3b14dPHhQy5Yt09ixY7Vy5UqtWLFCjRo10t69e1WuXDktW7ZM0dHRzjK6dOmic+fOacaMGXr99de1atUqLV682Jn/xx9/KCIiQrt371apUqXUoEEDVa5cWSVLltRLL72kr776SvXr13f6h4eHq0+fPurXr58k6dKlS4qKilK1atX05ZdfXnU7/vzzTxUoUEDbt29X+fLldeHCBYWHh2vs2LFO0KtUqZIefvhhDRo0SHPmzFHHjh31xx9/KCAgwMKeBQDY4pndBQAAkBENGjTQ2bNntWnTJp08eVKlSpVSgQIFVL9+fXXs2FEXLlxQfHy8ihUrpsTERJ07d0733nuvyzKSkpJUpUoVSdL333+vuLg4+fv7p1vXr7/+qlKlSkmSPv/8cx09elRr1qxRjRo1nD6nT5/WoUOHVLNmTafN09NT1atXd7mU8Oeff9bAgQO1YcMG/fnnn84ZrX379ql8+fLy8fHRU089pQkTJujRRx/V1q1b9eOPP2revHmSpHvvvVeRkZEqVqyYmjZtqqZNm+qhhx5S7ty5s2jPAgBsIWwBAHKEEiVKqHDhwoqLi9PJkyedM0zh4eGKiIjQ2rVrFRcXp4YNGyoxMVHSX/dYFSpUyGU53t7ekv4azbBFixYaNmxYunWFhYU5P1epUkVbt27VhAkTVL16dbm5uWWq7hYtWigyMlLjx49XeHi4UlNTVb58eSUlJTl9unTposqVK+uPP/7QxIkT1bBhQ0VGRkqSAgICtHXrVsXHx2vJkiUaOHCgBg8erE2bNik4ODhTtQAAbi7u2QIA5BgxMTGKj49XfHy8y5Dv9erV08KFC7Vx40bFxMSoXLly8vb21r59+1SiRAmXR0REhCSpatWq2rFjh4oWLZquj5+fn7Ps4sWLKy4uTl999ZV69uzptAcFBSksLEwbNmxw2i5duqQtW7Y408ePH9fu3bv18ssvq1GjRipbtqxOnjyZbrsqVKig6tWra/z48ZoxY4Y6derkMt/T01ONGzfW8OHD9cMPP2jv3r1asWLFP96fAAC7OLMFAMgxYmJi1L17dyUnJ7vcO1W/fn316NFDSUlJiomJUUBAgJ5//nn16dNHqampqlOnjk6fPq01a9YoMDBQ7du3V/fu3TV+/Hg9/vjj6t+/v/LmzatffvlFn332mT755BN5eHg4yy9VqpQzIIenp6dGjx4tSXruuef01ltvqWTJkipTpoxGjhypU6dOOc/LkyeP8uXLp3HjxiksLEz79u3Tiy++eNVt69Kli3r06CE/Pz899NBDTvv8+fP122+/qV69esqTJ4+++eYbpaamqnTp0lm7cwEAWY4zWwCAHCMmJkbnz59XiRIlFBIS4rTXr19fZ86ccYaIl6TXXntNr7zyioYOHaqyZcuqadOmWrBggaKioiT9dfnhmjVrlJKSoiZNmqhChQrq3bu3goOD5e6e/s9j6dKltWLFCv33v//Vv//9b0nSv//9bz311FNq3769oqOjFRAQ4BKU3N3d9dlnn2nLli0qX768+vTpo7fffvuq2/b444/L09NTjz/+uHx8fJz24OBgzZkzRw0bNlTZsmU1duxY/fe//9Vdd931z3coAMAqRiMEAOAWsHfvXhUvXlybNm1S1apVs7scAEAWIGwBAJCNkpOTdfz4cT3//PPas2eP1qxZk90lAQCyCJcRAgCQjdasWaOwsDBt2rRJY8eOze5yAABZiDNbAAAAAGABZ7YAAAAAwALCFgAAAABYQNgCAAAAAAsIWwAAAABgAWELAAAAACwgbAEAAACABYQtAAAAALCAsAUAAAAAFvw/xj1BhMusoeMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "weekdays_order = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']\n",
    "sns.barplot(x='WeekDays', y='TotalSteps', data=daily_activity_sleep, hue='WeekDays', order=weekdays_order, errorbar=None)\n",
    "plt.xlabel('Weekdays')\n",
    "plt.ylabel('Total Steps')\n",
    "plt.title('Total Steps taken during the Week')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6df7db1-3aca-45f4-96ad-411f43016473",
   "metadata": {},
   "source": [
    "We can see that the users are most active when the weekend starts and the activity level drops on \n",
    "Sunday, this could be a day of reset for users."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aea55258-3416-4beb-9076-7796104a822f",
   "metadata": {},
   "source": [
    "#### 3.0  Sleep Distribution \n",
    "According to Mayoclinic, if one gets:\n",
    "\n",
    "* Less than 7 hours: Insufficient\n",
    "* 7 to 8 hours: Well rested\n",
    "* More than 8 hours: Overslept"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2a70de66-2bde-4020-940e-d1453d2edf9e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\KAREN J FERNANDES\\AppData\\Local\\Temp\\ipykernel_18452\\4022637558.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  sleep_day1['sleep_log'] = sleep_day1['TotalHoursAsleep'].apply(lambda x: 'Less than 7 hours' if x < 7 else ('7 to 8 hours' if 7 <= x < 8 else 'More than 8 hours'))\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>SleepDay</th>\n",
       "      <th>TotalSleepRecords</th>\n",
       "      <th>TotalMinutesAsleep</th>\n",
       "      <th>TotalTimeInBed</th>\n",
       "      <th>TotalHoursAsleep</th>\n",
       "      <th>sleep_log</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-12</td>\n",
       "      <td>1</td>\n",
       "      <td>327</td>\n",
       "      <td>346</td>\n",
       "      <td>5.450000</td>\n",
       "      <td>Less than 7 hours</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-13</td>\n",
       "      <td>2</td>\n",
       "      <td>384</td>\n",
       "      <td>407</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>Less than 7 hours</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-15</td>\n",
       "      <td>1</td>\n",
       "      <td>412</td>\n",
       "      <td>442</td>\n",
       "      <td>6.866667</td>\n",
       "      <td>Less than 7 hours</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-16</td>\n",
       "      <td>2</td>\n",
       "      <td>340</td>\n",
       "      <td>367</td>\n",
       "      <td>5.666667</td>\n",
       "      <td>Less than 7 hours</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-04-17</td>\n",
       "      <td>1</td>\n",
       "      <td>700</td>\n",
       "      <td>712</td>\n",
       "      <td>11.666667</td>\n",
       "      <td>More than 8 hours</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id   SleepDay  TotalSleepRecords  TotalMinutesAsleep  \\\n",
       "0  1503960366 2016-04-12                  1                 327   \n",
       "1  1503960366 2016-04-13                  2                 384   \n",
       "2  1503960366 2016-04-15                  1                 412   \n",
       "3  1503960366 2016-04-16                  2                 340   \n",
       "4  1503960366 2016-04-17                  1                 700   \n",
       "\n",
       "   TotalTimeInBed  TotalHoursAsleep          sleep_log  \n",
       "0             346          5.450000  Less than 7 hours  \n",
       "1             407          6.400000  Less than 7 hours  \n",
       "2             442          6.866667  Less than 7 hours  \n",
       "3             367          5.666667  Less than 7 hours  \n",
       "4             712         11.666667  More than 8 hours  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sleep_day1['sleep_log'] = sleep_day1['TotalHoursAsleep'].apply(lambda x: 'Less than 7 hours' if x < 7 else ('7 to 8 hours' if 7 <= x < 8 else 'More than 8 hours'))\n",
    "sleep_day1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ebd7b5ce-fda8-40b4-8c1c-5fe9fae20ed5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sleep_log_count = sleep_day1['sleep_log'].value_counts()\n",
    "\n",
    "plt.figure(figsize = (10,10))\n",
    "plt.pie(sleep_log_count, labels = None, autopct='%1.1f%%', textprops={'color': 'white'})\n",
    "plt.title('Sleep Distribution')\n",
    "plt.legend(labels=sleep_log_count.index, loc = 'upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13c38b6a-1bc8-4558-b490-289d5253b9f4",
   "metadata": {},
   "source": [
    "From the pie chart, we can see that only about 27.6% of the users sleep for a sufficient amount of 7 to 8 hours whereas 44.1% sleep for less than 7 hours."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e22a8b65-1517-4f82-8a8e-a36c41289964",
   "metadata": {},
   "source": [
    "#### 4.0 Total Steps Vs Calories \n",
    "Based on the number of steps the user has taken, let's find out how many calories they have burned and if there is a correlation between the two."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "5809d815-bbce-428a-b79b-44f3bc7e12b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10,10))\n",
    "plt.scatter(x='TotalSteps', y='Calories', data=daily_activity_sleep)\n",
    "plt.title('Calories burned by Total Steps Taken')\n",
    "plt.xlabel('Total Steps')\n",
    "plt.ylabel('Calories')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9e0adec-1a78-4508-8976-850c649adeca",
   "metadata": {},
   "source": [
    "From the graph, we can see that there is a correlation between Total Steps and Calories. When the user takes more number of steps, more calories are burned."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0054291b-4e69-4f4e-a609-126aa1ef1648",
   "metadata": {},
   "source": [
    "#### 5.0 BMI Distribution \n",
    "According to standard BMI values from hdfclife we have,\n",
    "\n",
    "* Underweight: BMI less than 18.5\n",
    "* Normal weight: BMI between 18.5 and 24\n",
    "* Overweight: BMI between 25 and 29.9\n",
    "* Obese: BMI above 30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "bab4db5f-f46d-4861-b90d-8b0a6f94dab8",
   "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>Id</th>\n",
       "      <th>Date</th>\n",
       "      <th>WeightKg</th>\n",
       "      <th>WeightPounds</th>\n",
       "      <th>BMI</th>\n",
       "      <th>IsManualReport</th>\n",
       "      <th>LogId</th>\n",
       "      <th>bmi_log</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-05-02 23:59:59</td>\n",
       "      <td>52.599998</td>\n",
       "      <td>115.963147</td>\n",
       "      <td>22.650000</td>\n",
       "      <td>True</td>\n",
       "      <td>1462233599000</td>\n",
       "      <td>Normal weight</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>2016-05-03 23:59:59</td>\n",
       "      <td>52.599998</td>\n",
       "      <td>115.963147</td>\n",
       "      <td>22.650000</td>\n",
       "      <td>True</td>\n",
       "      <td>1462319999000</td>\n",
       "      <td>Normal weight</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1927972279</td>\n",
       "      <td>2016-04-13 01:08:52</td>\n",
       "      <td>133.500000</td>\n",
       "      <td>294.317120</td>\n",
       "      <td>47.540001</td>\n",
       "      <td>False</td>\n",
       "      <td>1460509732000</td>\n",
       "      <td>Obesity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2873212765</td>\n",
       "      <td>2016-04-21 23:59:59</td>\n",
       "      <td>56.700001</td>\n",
       "      <td>125.002104</td>\n",
       "      <td>21.450001</td>\n",
       "      <td>True</td>\n",
       "      <td>1461283199000</td>\n",
       "      <td>Normal weight</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2873212765</td>\n",
       "      <td>2016-05-12 23:59:59</td>\n",
       "      <td>57.299999</td>\n",
       "      <td>126.324875</td>\n",
       "      <td>21.690001</td>\n",
       "      <td>True</td>\n",
       "      <td>1463097599000</td>\n",
       "      <td>Normal weight</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id                Date    WeightKg  WeightPounds        BMI  \\\n",
       "0  1503960366 2016-05-02 23:59:59   52.599998    115.963147  22.650000   \n",
       "1  1503960366 2016-05-03 23:59:59   52.599998    115.963147  22.650000   \n",
       "2  1927972279 2016-04-13 01:08:52  133.500000    294.317120  47.540001   \n",
       "3  2873212765 2016-04-21 23:59:59   56.700001    125.002104  21.450001   \n",
       "4  2873212765 2016-05-12 23:59:59   57.299999    126.324875  21.690001   \n",
       "\n",
       "   IsManualReport          LogId        bmi_log  \n",
       "0            True  1462233599000  Normal weight  \n",
       "1            True  1462319999000  Normal weight  \n",
       "2           False  1460509732000        Obesity  \n",
       "3            True  1461283199000  Normal weight  \n",
       "4            True  1463097599000  Normal weight  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weight_log_info['bmi_log'] = weight_log_info['BMI'].apply(lambda x: \n",
    "                        'Underweight' if x < 18.5 else \n",
    "                        ('Normal weight' if 18.5 <= x <= 24 else \n",
    "                        ('Overweight' if 25 <= x <= 29.9 else 'Obesity')))\n",
    "weight_log_info.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "63ff5ad9-6b5a-4066-9e42-8035cc252837",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAxYAAAMsCAYAAADJXzRsAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB/XElEQVR4nOzdd3ic5YH9/fNM1UijLlmS5SK5yDbutgyY4kIzpBA6C+QFQgjsZtmQuskuvwApJJtNXZKQQIpxiCEEkkBCjMExLmCqARuDe5GLeu9lNPO8f8goNraxZGnmnvL9XJcvW/OMRkdCSHPmbpZt27YAAAAAYAgcpgMAAAAAiH0UCwAAAABDRrEAAAAAMGQUCwAAAABDRrEAAAAAMGQUCwAAAABDRrEAAAAAMGQUCwAAAABDRrEAAAAAMGQUCwBIADfffLOKiooi8rGKiop0880397/98MMPy7Isbdy4MSIff9GiRVq0aFFEPhYA4J8oFgBwEu8/MT7yz4gRI7R48WI9++yzx9z//fvceuutx328u+66q/8+dXV1/bfffPPN8vv9J81z7733HpUlOTlZY8aM0cc//nEtXbpU3d3dp/7JHmHr1q269957VVZWNiyPN5yiORsAJCqX6QAAECu++c1vqri4WLZtq7q6Wg8//LA+8pGP6G9/+5s+9rGPHXXfpKQk/elPf9IDDzwgj8dz1LXHHntMSUlJ6urqGlKeX/ziF/L7/eru7lZ5ebmee+453XLLLfrJT36iZ555RqNHj+6/769+9SuFQqFBPf7WrVv1jW98Q4sWLRrUaMeOHTvkcIT3dasPy/b888+H9WMDAI6PYgEAA3TJJZeotLS0/+1Pf/rTysvL02OPPXZMsbj44ov117/+Vc8++6w+8YlP9N/+8ssva9++fbryyiv1pz/9aUh5rrrqKuXk5PS/fffdd2v58uW68cYbdfXVV+vVV1/tv+Z2u4f0sU7Gtm11dXXJ5/PJ6/WG9WOdzAeLHAAgMpgKBQCnKCMjQz6fTy7Xsa/RFBYWasGCBXr00UePun358uWaPn26pk2bFpZMN9xwg2699Va99tprWrVqVf/tx1tj8Yc//EFz585Vamqq0tLSNH36dP3f//2fpL7pX1dffbUkafHixf3TrtauXSupbx3Fxz72MT333HMqLS2Vz+fTgw8+2H/tyDUW7+vo6NDtt9+u7OxspaWl6cYbb1RjY+NR97EsS/fee+8x73vkY54s2/HWWNTU1PQXwaSkJM2cOVPLli076j5lZWWyLEs/+MEP9NBDD2n8+PHyer2aN2+e3njjjeN+vQEA/8SIBQAMUHNzs+rq6mTbtmpqavTTn/5UbW1t+uQnP3nc+19//fW688471dbWJr/fr97eXj3xxBP64he/OORpUB/m//v//j899NBDev7553XhhRce9z6rVq3Sddddp/PPP1/f+973JEnbtm3Thg0bdOedd2rBggX63Oc+p/vvv1///d//rSlTpkhS/99S35Sn6667Trfffrs+85nPaNKkSR+a64477lBGRobuvfde7dixQ7/4xS+0f/9+rV27VpZlDfjzG0i2I3V2dmrRokXavXu37rjjDhUXF+uJJ57QzTffrKamJt15551H3f/RRx9Va2urbr/9dlmWpf/93//VFVdcob1794Z95AcAYhnFAgAG6IILLjjqba/Xq9/+9rcnfPJ+1VVX6Y477tBTTz2lT37yk3r++edVV1en6667TkuXLg1bzvdHQ/bs2XPC+/z9739XWlqannvuOTmdzmOujxs3Tueee67uv/9+XXjhhcfdZWn37t1auXKllixZMqBcHo9Hq1ev7n9yPnbsWP3nf/6n/va3v+nSSy8d0GMMNNuRHnroIW3btk2///3vdcMNN0iS/vVf/1ULFy7U//t//0+33HKLUlNT++9/4MAB7dq1S5mZmZKkSZMm6ROf+ISee+65Y6a8AQD+ialQADBAP//5z7Vq1SqtWrVKv//977V48WLdeuut+vOf/3zc+2dmZuriiy/WY489JqnvlfCzzjpLY8eODWvO93eWam1tPeF9MjIy1N7eftR0qcEqLi4ecKmQpNtuu+2oV/z/7d/+TS6XSytWrDjlDAOxYsUK5efn67rrruu/ze1263Of+5za2tq0bt26o+5/7bXX9pcKSTr33HMlSXv37g1rTgCIdRQLABig008/XRdccIEuuOAC3XDDDfr73/+u0047TXfccYd6enqO+z7XX3+9Vq1apQMHDuipp57S9ddfH/acbW1tknTUq/Af9NnPflYlJSW65JJLNGrUKN1yyy1auXLloD5OcXHxoO4/ceLEo972+/0qKCgI+5ax+/fv18SJE4/Zqer9qVP79+8/6vYxY8Yc9fb7JeOD60EAAEejWADAKXI4HFq8eLEqKyu1a9eu497n0ksvldfr1U033aTu7m5dc801Yc/17rvvSpImTJhwwvuMGDFCmzZt0l//+lddeumlWrNmjS655BLddNNNA/44Pp9vyFkHKhgMRuxjHW9qmNS38xUA4MQoFgAwBL29vZL+OUrwQT6fT5dddpnWrl2rCy+88KjtYcPlkUcekaSTTlPyeDz6+Mc/rgceeEB79uzR7bffrt/97nfavXu3JA1qQfVAfLB8tbW1qbKy8qjdqjIzM9XU1HTU/Xp6elRZWXnUbYPJNnbsWO3ateuYczy2b9/efx0AMHQUCwA4RYFAQM8//7w8Hs8JdySSpC9/+cu655579PWvfz3smR599FH9+te/1vz583X++eef8H719fVHve1wODRjxgxJ6j+5OyUlRZKOeaJ/qh566CEFAoH+t3/xi1+ot7dXl1xySf9t48eP1/r16495vw+OWAwm20c+8hFVVVXp8ccf77+tt7dXP/3pT+X3+7Vw4cJT+XQAAB/ArlAAMEDPPvts/6vcNTU1evTRR7Vr1y597WtfU1pa2gnfb+bMmZo5c+aw53nyySfl9/vV09PTf/L2hg0bNHPmTD3xxBMf+r633nqrGhoadN5552nUqFHav3+/fvrTn2rWrFn9JWnWrFlyOp363ve+p+bmZnm9Xp133nkaMWLEKeXt6enR+eefr2uuuUY7duzQAw88oHPOOeeoHaFuvfVW/eu//quuvPJKXXjhhdq8ebOee+65Y0Z6BpPttttu04MPPqibb75Zb775poqKivTkk09qw4YN+slPfvKha1EAAANHsQCAAbr77rv7/52UlKTJkyfrF7/4hW6//XYjef7t3/6tP0tOTo5mzZql3/72t7r++utPevr1Jz/5ST300EN64IEH1NTUpPz8fF177bW69957+xc55+fn65e//KW++93v6tOf/rSCwaDWrFlzysXiZz/7mZYvX667775bgUBA1113ne6///6jpjV95jOf0b59+/Sb3/xGK1eu1LnnnqtVq1YdM/oymGw+n09r167V1772NS1btkwtLS2aNGmSli5detyD/AAAp8ayWY0GAAAAYIhYYwEAAABgyCgWAAAAAIaMYgEAAABgyCgWAAAAAIaMYgEAAABgyCgWAAAAAIaMYgEAAABgyCgWAAAAAIaMYgEAAABgyCgWAAAAAIaMYgEAAABgyCgWAAAAAIaMYgEAAABgyFymAwAAAGDggsGgAoGA6RiIE263W06nc1gei2IBAAAQA2zbVlVVlZqamkxHQZzJyMhQfn6+LMsa0uNQLAAAAGLA+6VixIgRSk5OHvKTQMC2bXV0dKimpkaSVFBQMKTHo1gAAABEuWAw2F8qsrOzTcdBHPH5fJKkmpoajRgxYkjToli8DQAAEOXeX1ORnJxsOAni0fvfV0Ndu0OxAAAAiBFMf0I4DNf3FcUCAAAAwJBRLAAAAIBBuPfeezVr1qxBvc+iRYv0+c9/Pix5ogWLtwEAAGLY7S8+GtGP9+C515/S+x08eFD33HOPVq5cqbq6OhUUFOiyyy7T3XffHXML0r/85S/rP/7jP4b9cS3L0l/+8hdddtllw/7YkcCIBQAAAMJq7969Ki0t1a5du/TYY49p9+7d+uUvf6nVq1dr/vz5amhoCNvHDsdhgn6/P+bKUCRQLAAAABBW//7v/y6Px6Pnn39eCxcu1JgxY3TJJZfoH//4h8rLy3XXXXfpv//7v3XGGWcc874zZ87UN7/5zf63f/3rX2vKlClKSkrS5MmT9cADD/RfKysrk2VZevzxx7Vw4UIlJSXp97//vXJzc/Xkk0/232/WrFlHndnw0ksvyev1qqOjQ5LU1NSkW2+9Vbm5uUpLS9N5552nzZs399//g1Ohent79bnPfU4ZGRnKzs7WV7/6Vd10003HjDyEQiH953/+p7KyspSfn6977723/1pRUZEk6fLLL5dlWf1vxxKKBQAAAMKmoaFBzz33nD772c/2n5nwvvz8fN1www16/PHHdcMNN+j111/Xnj17+q+/9957euedd3T99X3Tr5YvX667775b9913n7Zt26bvfOc7+vrXv65ly5Yd9bhf+9rXdOedd2rbtm26+OKLtWDBAq1du1aS1NjYqG3btqmzs1Pbt2+XJK1bt07z5s3r33b16quvVk1NjZ599lm9+eabmjNnjs4///wTjqx873vf0/Lly7V06VJt2LBBLS0teuqpp46537Jly5SSkqLXXntN//u//6tvfvObWrVqlSTpjTfekCQtXbpUlZWV/W/HEooFAAAAwmbXrl2ybVtTpkw57vUpU6aosbFRubm5mjlzph599J9rRpYvX64zzjhDEyZMkCTdc889+uEPf6grrrhCxcXFuuKKK/SFL3xBDz744FGP+fnPf77/PgUFBVq0aFF/sVi/fr1mz5591G1r167VwoULJfWNXrz++ut64oknVFpaqokTJ+oHP/iBMjIyjhr1ONJPf/pT/dd//Zcuv/xyTZ48WT/72c+UkZFxzP1mzJihe+65RxMnTtSNN96o0tJSrV69WpKUm5srScrIyFB+fn7/27GEYgEAAICws237pPe54YYb+ouFbdt67LHHdMMNN0iS2tvbtWfPHn3605+W3+/v//Ptb3/7qFEOSSotLT3q7YULF2rr1q2qra3VunXrtGjRov5iEQgE9PLLL2vRokWSpM2bN6utrU3Z2dlHfZx9+/Yd83Ekqbm5WdXV1Tr99NP7b3M6nZo7d+4x950xY8ZRbxcUFKimpuakX5dYwa5QAAAACJsJEybIsixt27ZNl19++THXt23bpszMTOXm5uq6667TV7/6Vb311lvq7OzUwYMHde2110qS2traJEm/+tWvjlmL4XQ6j3o7JSXlqLenT5+urKwsrVu3TuvWrdN9992n/Px8fe9739Mbb7yhQCCgs846q//jFBQU9I9mHOl4oxCD4Xa7j3rbsiyFQqEhPWY0oVgAAAAgbLKzs3XhhRfqgQce0Be+8IWj1llUVVVp+fLluvHGG2VZlkaNGqWFCxdq+fLl6uzs1IUXXqgRI0ZIkvLy8jRy5Ejt3bu3fxRjoCzL0rnnnqunn35a7733ns455xwlJyeru7tbDz74oEpLS/vLyJw5c1RVVSWXyzWgBdTp6enKy8vTG2+8oQULFkiSgsGg3nrrrUGfdeF2uxUMBgf1PtGEqVAAAAAIq5/97Gfq7u7WkiVLtH79eh08eFArV67UhRdeqMLCQt133339973hhhv0hz/8QU888cQxBeIb3/iGvvvd7+r+++/Xzp07tWXLFi1dulQ/+tGPTpph0aJFeuyxxzRr1iz5/X45HA4tWLBAy5cv719fIUkXXHCB5s+fr8suu0zPP/+8ysrK9PLLL+uuu+7Sxo0bj/vY//Ef/6Hvfve7evrpp7Vjxw7deeedamxslGVZg/o6FRUVafXq1aqqqlJjY+Og3jcaUCwAAAAQVhMnTtTGjRs1btw4XXPNNRo/frxuu+02LV68WK+88oqysrL673vVVVepvr5eHR0dx2zXeuutt+rXv/61li5dqunTp2vhwoV6+OGHVVxcfNIMCxcuVDAY7F9LIfWVjQ/eZlmWVqxYoQULFuhTn/qUSkpK9C//8i/av3+/8vLyjvvYX/3qV3Xdddfpxhtv1Pz58+X3+7VkyRIlJSUN6uv0wx/+UKtWrdLo0aM1e/bsQb1vNLDsgaykAQAAgDFdXV3at2+fiouLB/1kFZEXCoU0ZcoUXXPNNfrWt75lOs5JDdf3F2ssAAAAgCHYv39//+F/3d3d+tnPfqZ9+/b1n7+RKJgKBQAAAAyBw+HQww8/rHnz5unss8/Wli1b9I9//OOEZ3fEK0YsAAAAgCEYPXq0NmzYYDqGcYxYAAAAABgyigUAAACAIaNYAAAAABgyigUAAACAIaNYAAAAABgyigUAAACAIaNYAAAAAB+wdu1aWZalpqamiHy8srIyWZalTZs2Dfh9Hn74YWVkZIQt02BxjgUAAEAMC/7o0xH9eM4v/mZQ97/55pu1bNkyffe739XXvva1/tufeuopXX755bJte7gjxqTRo0ersrJSOTk5w/q4N998s5qamvTUU08N6+MeDyMWAAAACKukpCR973vfU2Nj47A+bk9Pz7A+nklOp1P5+flyuWL3dX+KBQAAAMLqggsuUH5+vr773e9+6P3+9Kc/aerUqfJ6vSoqKtIPf/jDo64XFRXpW9/6lm688UalpaXptttu658O9Mwzz2jSpElKTk7WVVddpY6ODi1btkxFRUXKzMzU5z73OQWDwf7HeuSRR1RaWqrU1FTl5+fr+uuvV01NzYA/py9/+cv62Mc+1v/2T37yE1mWpZUrV/bfNmHCBP3617/uf/vXv/61pkyZoqSkJE2ePFkPPPBA/7XjTYX661//qokTJyopKUmLFy/WsmXLjjs967nnntOUKVPk9/t18cUXq7KyUpJ07733atmyZXr66adlWZYsy9LatWsH/DkOFsUCAAAAYeV0OvWd73xHP/3pT3Xo0KHj3ufNN9/UNddco3/5l3/Rli1bdO+99+rrX/+6Hn744aPu94Mf/EAzZ87U22+/ra9//euSpI6ODt1///36wx/+oJUrV2rt2rW6/PLLtWLFCq1YsUKPPPKIHnzwQT355JP9jxMIBPStb31Lmzdv1lNPPaWysjLdfPPNA/6cFi5cqJdeeqm/rKxbt045OTn9T9zLy8u1Z88eLVq0SJK0fPly3X333brvvvu0bds2fec739HXv/51LVu27LiPv2/fPl111VW67LLLtHnzZt1+++266667jrlfR0eHfvCDH+iRRx7R+vXrdeDAAX35y1+W1Fd+rrnmmv6yUVlZqbPOOmvAn+Ngxe5YCwAAAGLG5ZdfrlmzZumee+7Rb35z7DqNH/3oRzr//PP7y0JJSYm2bt2q73//+0c94T/vvPP0pS99qf/tF198UYFAQL/4xS80fvx4SdJVV12lRx55RNXV1fL7/TrttNO0ePFirVmzRtdee60k6ZZbbul/jHHjxun+++/XvHnz1NbWJr/ff9LP59xzz1Vra6vefvttzZ07V+vXr9dXvvKV/rUMa9euVWFhoSZMmCBJuueee/TDH/5QV1xxhSSpuLhYW7du1YMPPqibbrrpmMd/8MEHNWnSJH3/+9+XJE2aNEnvvvuu7rvvvqPuFwgE9Mtf/rL/c7/jjjv0zW9+U5Lk9/vl8/nU3d2t/Pz8k35OQ8WIBQAAACLie9/7npYtW6Zt27Ydc23btm06++yzj7rt7LPP1q5du46awlRaWnrM+yYnJ/c/sZakvLw8FRUVHVUQ8vLyjprq9Oabb+rjH/+4xowZo9TUVC1cuFCSdODAgQF9LhkZGZo5c6bWrl2rLVu2yOPx6LbbbtPbb7+ttrY2rVu3rv8x29vbtWfPHn3605+W3+/v//Ptb39be/bsOe7j79ixQ/PmzTvqttNPP/2kn3tBQcGgpnQNJ0YsAAAAEBELFizQkiVL9F//9V+DmnZ0pJSUlGNuc7vdR71tWdZxbwuFQpL6nugvWbJES5Ys0fLly5Wbm6sDBw5oyZIlg1oQvmjRIq1du1Zer1cLFy5UVlaWpkyZopdeeknr1q3rH1lpa2uTJP3qV7/SGWeccdRjOJ3OAX+84zne52lqpy2KBQAAACLmf/7nfzRr1ixNmjTpqNunTJmiDRs2HHXbhg0bVFJSMuQn3x+0fft21dfX63/+5380evRoSdLGjRsH/TgLFy7Ub3/7W7lcLl188cWS+srGY489pp07d/avr8jLy9PIkSO1d+9e3XDDDQN67EmTJmnFihVH3fbGG28MOqPH4zlqxCecmAoFAACAiJk+fbpuuOEG3X///Ufd/qUvfUmrV6/Wt771Le3cuVPLli3Tz372s/6FyMNpzJgx8ng8+ulPf6q9e/fqr3/9q771rW8N+nEWLFig1tZWPfPMM/0lYtGiRVq+fLkKCgpUUlLSf99vfOMb+u53v6v7779fO3fu1JYtW7R06VL96Ec/Ou5j33777dq+fbu++tWvaufOnfrjH//Yv5DdsqwBZywqKtI777yjHTt2qK6uToFAYNCf50AxYgEAABDDBntgXTT45je/qccff/yo2+bMmaM//vGPuvvuu/Wtb31LBQUF+uY3v3nKU6Y+TG5urh5++GH993//t+6//37NmTNHP/jBD3TppZcO6nEyMzM1ffp0VVdXa/LkyZL6ykYoFOpfX/G+W2+9VcnJyfr+97+vr3zlK0pJSdH06dP1+c9//riPXVxcrCeffFJf+tKX9H//93+aP3++7rrrLv3bv/2bvF7vgDN+5jOf0dq1a1VaWqq2tjatWbOmvwQNN8vmuEMAAICo1tXVpX379qm4uFhJSUmm48CQ++67T7/85S918ODBYX3c4fr+YsQCAAAAiEIPPPCA5s2bp+zsbG3YsEHf//73dccdd5iOdUIUCwAAACAK7dq1S9/+9rfV0NCgMWPG6Etf+pL+67/+y3SsE2IqFAAAQJRjKhTCabi+v9gVCgAAAMCQUSwAAAAADBnFAgAAAMCQUSwAAAAADBnFAgAAAMCQUSwAAAAADBnFAgAAAFGhqKhIP/nJT8L2+A8//LAyMjLC9viJjgPyAAAAYtiPlm2M6Mf74k2lp/R+Bw8e1D333KOVK1eqrq5OBQUFuuyyy3T33XcrOzt7mFMe37XXXquPfOQj/W/fe++9euqpp7Rp06aIfPx4x4gFAAAAwmrv3r0qLS3Vrl279Nhjj2n37t365S9/qdWrV2v+/PlqaGiISA6fz6cRI0ZE5GMlIooFAAAAwurf//3f5fF49Pzzz2vhwoUaM2aMLrnkEv3jH/9QeXm57rrrrv77tra26rrrrlNKSooKCwv185///KjHampq0q233qrc3FylpaXpvPPO0+bNm/uvb968WYsXL1ZqaqrS0tI0d+5cbdzYN6pz5FSohx9+WN/4xje0efNmWZYly7L08MMP65ZbbtHHPvaxoz5mIBDQiBEj9Jvf/CZMX6H4QLEAAABA2DQ0NOi5557TZz/7Wfl8vqOu5efn64YbbtDjjz8u27YlSd///vc1c+ZMvf322/ra176mO++8U6tWrep/n6uvvlo1NTV69tln9eabb2rOnDk6//zz+0c9brjhBo0aNUpvvPGG3nzzTX3ta1+T2+0+Jte1116rL33pS5o6daoqKytVWVmpa6+9VrfeeqtWrlypysrK/vs+88wz6ujo0LXXXhuOL1HcYI0FAAAAwmbXrl2ybVtTpkw57vUpU6aosbFRtbW1kqSzzz5bX/va1yRJJSUl2rBhg3784x/rwgsv1EsvvaTXX39dNTU18nq9kqQf/OAHeuqpp/Tkk0/qtttu04EDB/SVr3xFkydPliRNnDjxuB/X5/PJ7/fL5XIpPz+///azzjpLkyZN0iOPPKL//M//lCQtXbpUV199tfx+//B8UeIUIxYAAAAIu/dHJE5m/vz5x7y9bds2SX3TnNra2pSdnS2/39//Z9++fdqzZ48k6Ytf/KJuvfVWXXDBBfqf//mf/tsH49Zbb9XSpUslSdXV1Xr22Wd1yy23DPpxEg3FAgAAAGEzYcIEWZbVXw4+aNu2bcrMzFRubu5JH6utrU0FBQXatGnTUX927Nihr3zlK5L6dnp677339NGPflQvvPCCTjvtNP3lL38ZVOYbb7xRe/fu1SuvvKLf//73Ki4u1rnnnjuox0hEFAsAAACETXZ2ti688EI98MAD6uzsPOpaVVWVli9frmuvvVaWZUmSXn311aPu8+qrr/ZPo5ozZ46qqqrkcrk0YcKEo/7k5OT0v09JSYm+8IUv6Pnnn9cVV1zRP/rwQR6PR8Fg8LiZL7vsMi1dulQPP/ywPvWpTw3pa5AoKBYAAAAIq5/97Gfq7u7WkiVLtH79eh08eFArV67UhRdeqMLCQt133339992wYYP+93//Vzt37tTPf/5zPfHEE7rzzjslSRdccIHmz5+vyy67TM8//7zKysr08ssv66677tLGjRvV2dmpO+64Q2vXrtX+/fu1YcMGvfHGGydc31FUVKR9+/Zp06ZNqqurU3d3d/+1W2+9VcuWLdO2bdt00003hfcLFCdYvA0AABDDTvXAukiaOHGiNm7cqHvuuUfXXHONGhoalJ+fr8suu0z33HOPsrKy+u/7pS99SRs3btQ3vvENpaWl6Uc/+pGWLFkiSbIsSytWrNBdd92lT33qU6qtrVV+fr4WLFigvLw8OZ1O1dfX68Ybb1R1dbVycnJ0xRVX6Bvf+MZxc1155ZX685//rMWLF6upqUlLly7VzTffLKmvxBQUFGjq1KkaOXJk2L9G8cCyB7qSBgAAAEZ0dXVp3759Ki4uVlJSkuk4CaGtrU2FhYVaunSprrjiCtNxwmq4vr8YsQAAAAAOC4VCqqur0w9/+ENlZGTo0ksvNR0pZlAsAAAAgMMOHDig4uJijRo1Sg8//LBcLp4uDxRfKQAAAOCwoqKiAZ+5gaOxKxQAAACAIaNYAAAAxAheSUc4DNf3FcUCAAAgyrndbklSR0eH4SSIR+9/X73/fXaqWGMBAAAQ5ZxOpzIyMlRTUyNJSk5O7j+pGjhVtm2ro6NDNTU1ysjIkNPpHNLjcY4FAABADLBtW1VVVWpqajIdBXEmIyND+fn5Qy6rFAsAAIAYEgwGFQgETMdAnHC73UMeqXgfxQIA8KGCdkiWJIfFsjwAwImxxgIA4kBXMKD2QI/ae7vVHuhRR2+P2vr/3a323h519gYUCAUVtEPqDYXUawfVGwr1vW2HFAz1/d0bCva/HbRDev/VJ0uWnJYll8Mhp+WUy+GQy3LIaVlyOpx9/+6/zSGXwyG3wymf0y2fy6Nk1/t/e5TsdCvZ5VGK2yv/4T9OigsAxDRGLAAgSgXtkBq7O9TQ1a6G7g7Vd7ersbtDLT2dau/tUXugrzB09Pao1w6ZjjtkPqe7v2T43V6le3zK8qYo25uiLG+yspJSlOlJltNBAQGAaESxAABDOnt7VN/droauDjV0t/cXh4budtV3tau5p0u2+BF9JEuW0j1JyjqibPT/29v37xS3x3RMAEhIFAsACLPG7g5VdjSroqNZlf1/WtTR22M6WlxKdrmV70vXyJR0FSSna2Ry39+Z3mTT0QAgrlEsAGCYHL9ANKujl91booHP6VbB4ZLRVzrSNDI5g8IBAMOEYgEAgxSyQ6roaNa+lnqVtdWror1ZVZ0UiFjlc7qVn5ymwpQMjfVnqTg1R4Up6eyCBQCDRLEAgJNo7O7QvtZ67WutU1lrvfa3Nqg71Gs6FsLI43BqzOGSMS4tW8WpOYxsAMBJUCwA4AjdwV7tb60/XCT6ykRTT6fpWIgCGR6filL7SkZxarbGpmYpyek2HQsAogbFAkBCa+np0vamKu1srtG+1jpVtDcrxE5MGACHLBUkp6s4LVsl6SM0JSNfaR6f6VgAYAzFAkBC6QoGtKu5RtuaqrS9sVoVHU3UCAybkcnpmpyRrykZ+SrJGMGIBoCEQrEAENeCoZD2tdZpW1OVtjVVq6y1XsE4OEwO0c9hWSpOze4vGuNSczjcD0Bco1gAiCu2bau8o0nbGqu0valau1pq1B1koTXM8zpdmpiW21c0MvNVmJwhy7JMxwKAYUOxABDzAqGgtjdVaVP9Ib1TX66WQJfpSMBJpbmTND2rULOyR2lKZr7cDqfpSAAwJBQLADGpszegLQ3l2lR/SO81VqiLUQnEMK/TpWmZIzUre5SmZxXK52JtBoDYQ7EAEDOaezq1uf6Q3q4/pJ1N1eplrQTikMtyqCQjT7OzR2lm9iils9MUgBhBsQAQ1ao7W7Sp7pA21R/SvtY6dnBCQrHUtwB8Vs4ozc4erRG+VNORAOCEKBYAok5tZ6terdmnt+oOqqKj2XQcIGqMTE7XnJzROn1EkfJ8aabjAMBRKBYAokJ7oEdv1u3XqzX7tKelznQcIOqNS83RmXnFKs0ZqxS3x3QcAKBYADAnGArp3cYKvVq9T+80lLNmAjgFLsuhGVmFOjOvWNMyR3JWBgBjKBYAIq6stV6v1uzTxtr9ag10m44DxI1Ut1eluWN15ohiFaVmm44DIMFQLABERGN3h16r2adXa8pUyboJIOwKktN15oginTGiWJneZNNxACQAigWAsAnaIW2qO6T1Vbu0o6lGNns6ARFnydLkjDydkz9es3NGy2kxVQpAeFAsAAy7lp5OvVi1W+srd6upp9N0HACHZXh8Ojd/ghYUTFAa52MAGGYUCwDDZk9LrdZU7NTbdQdZiA1EMZfl0Oyc0Vo8skTj03JNxwEQJygWAIakJ9ir12v3a23FTh1sbzQdB8AgjfFnalFBiU4fUSS3w2k6DoAYRrEAcEpqO9u0rnKnXq7eq/beHtNxAAxRisujs/PHa2HBROUk+U3HARCDKBYABsy2bb3XWKk1FTv1XmMli7GBOGTJ0rSsAi0eWaLTMgpkWZbpSABiBMUCwEmF7JBer92v5w5uVQVbxQIJY2RyupaMPk2n546Vg92kAJwExQLACQVCQb1cvVfPH9qquq5203EAGJKT5NdFo6borLxxrMMAcEIUCwDH6AoGtL5yt/5Rvl3NbBcL4LB0j08XFk7WgoKJ8jpdpuMAiDIUCwD92gPdeqFih9ZU7GRBNoATSnF5tHjkJJ03cpJS3B7TcQBECYoFADX3dOr5Q9v0YtVudQd7TccBECOSnC4tKJioCwonK50D94CER7EAElhtZ5ueO7RVr1Tv5UA7AKfM7XDqrLxxumjUFLaqBRIYxQJIQI3dHfrb/nf0SvU+hdgyFsAwcViW5o8Yp4+Pna5Mb7LpOAAijGIBJJD2QLeePbhVayt3KhAKmo4DIE65HU4tHlmii0dNZQ0GkEAoFkAC6An2anXFDj1/aKs6egOm4wBIEMkut5aMmqrzRpbIwy5SQNyjWABxLGiHtKFqj/5+4F01sW0sAEMyPD59bMx0nZ0/joP2gDhGsQDi1Ju1B/T0/s2q7mw1HQUAJEl5vjRdVjRDc3LGmI4CIAwoFkCc2dZYpb+UbdL+tgbTUQDguIpTs3V50SxNysgzHQXAMKJYAHHiQFuD/rxvk7Y1VZmOAgADMjWzQJcXzdJof6bpKACGAcUCiHFtgS79pWyzNlTtYeNYADHHkqWz88fp8qJZ8ru9puMAGAKKBRCjQratFyt366n9m9XR22M6DgAMSYrLo08UzdS5+RPksCzTcQCcAooFEIP2ttTpsT1v6EBbo+koADCsxvizdP34UhWn5ZiOAmCQKBZADGnt6dKfyjbp1eq9THsCELcsSWfl9U2PSvUkmY4DYIAoFkAMCNkhra3Ypb8deIcD7gAkjGSXR5eOnaGFBRM4/wKIARQLIMrtbq7RY3s26lB7k+koAGDE6JRMXTehVOPTck1HAfAhKBZAlGru6dSf972tV2vKTEcBAOMsSWeOKNYVxbOVxvQoICpRLIAoY9u21lfu1p/LNqkryLQnADiSz+nW5cWztCB/gix2jwKiCsUCiCK1nW16ZNdr2tFcbToKAES1Sel5urHkDOUk+U1HAXAYxQKIArZta03FTj1VtlndoV7TcQAgJnidLl1eNEuLCiYyegFEAYoFYFhtZ6uW7XxNu1pqTEcBgJhUkj5CN048U7k+Ri8AkygWgCEh29YLFTv0dNlm9YSCpuMAQEzzOJy6vGiWFo8sYfQCMIRiARhQ3dmi3+18Tbtbak1HAYC4MiEtVzeVnKkRvlTTUYCEQ7EAIihk21pdvl1P739HAUYpACAs3A6nLiuaqfNGTpKD0QsgYigWQIRUdbRo2c5Xtbe1znQUAEgI49NydNPEM5WXnGY6CpAQKBZABKwu366/lG1mlAIAIsztcOqKolk6r3CS6ShA3KNYAGHUFujSwztf1ZaGCtNRACChzcwq1I0lZ8rv9pqOAsQtigUQJjubqvWbHS+rqafTdBQAgKQMj0+fnny2StJHmI4CxCWKBTDMQnZIzxx4VysOvCdb/O8FANHEIUsfGTNVHx0zTQ7LYToOEFcoFsAwauzu0K+3b2AbWQCIchPTRujTk89SpjfZdBQgblAsgGGyuf6Qlu18Ve29PaajAAAGIMXl1U0lZ2hm9ijTUYC4QLEAhigQCupP+97WmoqdpqMAAE7B4pElurJ4ttwOp+koQEyjWABDUN3Rol9t36CD7Y2mowAAhmB0SqY+M/lszrwAhoBiAZyiV6r36rE9G9Ud7DUdBQAwDLwOl66bUKr5eeNMRwFiEsUCGKTeUFCP7dmol6r2mI4CAAiDhQUTde24uXI62DUKGAyKBTAIjd0denDbi9rXWm86CgAgjCak5er2KecqzZNkOgoQMygWwADtaq7RQ9teUkugy3QUAEAEZHqS9W+nLdDY1CzTUYCYQLEABmBNxQ49sfdtBe2Q6SgAgAhyO5z65MTTdeaIYtNRgKhHsQA+RCAU1PJdr+uVmn2mowAADLqgcLKuLJ7Fad3Ah6BYACfQ3NOpX2xdz3oKAIAkaUpGvj4z+WyluL2mowBRiWIBHEdZa71+sXW9mno6TUcBAESRnCS/PnvaAhWmZJiOAkQdigXwAa/XlOl3u15TIBQ0HQUAEIW8DpdunnSm5uSMMR0FiCoUC+CwkG3r6bLNWnloq+koAIAoZ0m6ePRUfWLsDFmWZToOEBUoFoD6Fmn/ZvvLerv+oOkoAIAYMjdnjD41ab7cDqfpKIBxFAskvPZAt36+db32tNSajgIAiEET00bos1MXKNnlMR0FMIpigYRW39Wu+99do6rOFtNRAAAxbGRyuv5j2iJleVNMRwGMoVggYR1sa9RP31urZnZ+AgAMgwyPT/8xbZFGpWSajgIYQbFAQtrWWKVfbntRXcGA6SgAgDiS5HTr3047V5Mz8k1HASKOYoGE83pNmR7e+aqCdsh0FABAHHJZDt1UcqZOH1FkOgoQURQLJJTnDm7VX8o2iW96AEA4WZIuL5qlJaNPMx0FiBiKBRJCyLb1xN439ULFTtNRAAAJ5LyRJbp63Fw5OOsCCYBigbgXCAX12x0v6606zqgAAETenOzRumXyWZx1gbhHsUBc6+jt0QPvrdeulhrTUQAACWxCWq7umLpQPs66QByjWCButQe69eMtL+hge6PpKAAAaKw/S3dOO08pbsoF4hPFAnGptadLP3n3BR1qbzIdBQCAfqNTMvX56efJ7/aajgIMO4oF4k5LT6d+vOUFVXQ0m44CAMAxCpMz9Pnp5ynNk2Q6CjCsKBaIK809nfrRO6tV1dliOgoAACdU4EvTF2acr3SPz3QUYNhQLBA3Grs79KMtq1XT2Wo6CgAAJzXCl6ovTj9fmd5k01GAYUGxQFyo72rXj7asVl1Xm+koAAAMWE6SX1+cfr6yk1JMRwGGjGKBmFfX1aYfvbNa9d3tpqMAADBo2d4UfXHG+cpJ8puOAgwJxQIxraazVT96Z7UaezpMRwEA4JRlepL1hRnnKc+XZjoKcMooFohZVR0t+vGW1Wrq6TQdBQCAIUv3+PTF6ecpPznddBTglFAsEJMq2pv14y2r1RLoMh0FAIBhk+pO0henn6eRKRmmowCD5jAdABis2s5WSgUAIC61Brr04y0vsMMhYhLFAjGlqbtDP97yAqUCABC3WgJd+smWF9TApiSIMRQLxIy2QLd+8u4adn8CAMS9+u52/WTLC2phHSFiCMUCMaErGNBP31uryo5m01EAAIiI6s5W/d+7a9Qe6DEdBRgQigWiXiAU1C+2rldZa73pKAAARNSh9ib99L016goGTEcBTopigagWskP69fYN2t5UbToKAABG7Gut1wPvrVcgFDQdBfhQFAtELdu29btdr2tT/SHTUQAAMGpHc7V+u/1lhTglAFGMYoGo9cTet/RK9V7TMQAAiApv1R/Uo7vfMB0DOCGKBaLS3w9s0eqKHaZjAAAQVV6s2q2nyjabjgEcF8UCUWdNxQ79df8W0zEAAIhKzx58T6vLt5uOARyDYoGo8kZNmR7f86bpGAAARLUn9r6lN2rKTMcAjkKxQNTY01Krh3e+KpalAQDw4WxJy3a9pj0ttaajAP0oFogKdV1t+sXW9eq1Q6ajAAAQE/rOeXpRdV1tpqMAkigWiAKdvQH97L11ag10m44CAEBMaQ106efvrVNnLwfowTyKBYwK2SE9tP0lVXY0m44CAEBMquho1kPbX1KIUX8YRrGAUX/Y86a2NlaajgEAQEzb2ljJ5icwjmIBY14o36F1lbtMxwAAIC6srdylF8o5AwrmUCxgxJaGcj2x9y3TMQAAiCtP7H1LWxrKTcdAgqJYIOLK25v06+0bFGJjWQAAhlVItn69fYPK25tMR0EColggolp6OvXz99apK9hrOgoAAHGpK9irn7+3Ti09naajIMFQLBAxgVBQD2xdr/rudtNRAACIa/Xd7Xpg63oFQkHTUZBAKBaImGU7X9W+1nrTMQAASAj7Wuu1bOerpmMggVAsEBEvlO/QG7X7TccAACChvFG7n52iEDEUC4TdnpZaPbnvbdMxAABISE/ue1t7WmpNx0ACoFggrFp7uvSrbRsU5DRQAACMCNoh/WrbBrX2dJmOgjhn2bbNnp8Ii5Bt6/5312hbU5XpKAAGacmo03RF8SytLt+uP+59S9neFH3n9E8c974PbntRb9UdPO41r8Oly4tnaVb2KKW4PKrrbtea8h1aX7W7/z5XF8/R/LxidYd69Zd9m/V6bVn/tTk5ozV/xDj9fOu6Yf38gEQ0JSNfn5u2WA7LMh0FccplOgDi1zP7t1AqgBg01p+lBQUTdLCtsf+2hu4OfeXVPx91v3MLJuiiwil6r6HyhI919bg5mpSRp9/ueFn1Xe06LTNf102Yp6aeTr3TUK4ZWYWaN2Ks/u/dNRrhS9WNE8/Qe42Vau/tVpLTrcvGztSP330hbJ8rkEi2NVXpmQNbdOnYGaajIE4xFQph8W5DhVYcfNd0DACD5HW49OlJZ+mRXa+po7en/3ZbtloCXUf9mZU9ShvrDqg7dOJzacal5eiV6n3a2Vyj+u52vVi1R4famlScmi1Jyk9O087mGu1va9AbtfvVFQwoJylFknRl8Sytq9ylxu6O8H7SQAJZceBdvdtQYToG4hTFAsOuvqtdv93xMudqAzHougml2tJYoe1N1R96vzH+TI3xZ2lD1Z4Pvd/eljrNzC5UhscnSSpJH6E8X6q2NvaNchxqa9JYf5aSXW6N8WfK7XCptqtV49NyNcafpRcqdg7PJwZAkmRL+u2OV9TQxZlSGH5MhcKw6g0F9dC2F9V+xCudAGJDae5YjfFn6Ttvrzzpfc/OG6+Kjmbtba370Pv9Yc9GfXLi6freGZcrGAopJFu/3/W6dh3eoWZrU6VeqynTf826WIFQUA/vfEXdwaBumDBPD+98RQsLJmrxyBK1Bbr1+92vq7KjeVg+VyCRtfd268FtL+orMy+Uy+E0HQdxhGKBYfXHvW+prK3BdAwAg5TpSda14+boJ1vWqPcku7i5HU6dPqJIfz9w8umOi0eWqDg1Rz9/b53qu9o1MX2Erhtfqqaejv5RkWcObNEzB7b0v8/HxkzTtqYqBUO2PjJmqr751grNyCrUp0rm6zubTl56AJxcWVuD/rj3LV0/YZ7pKIgjFAsMm9dryrSucpfpGABOwZjULKV5fLprzsX9tzkthyamj9CikSX695cel314guOcnNHyOJx6tWbfhz6m2+HUZUUz9YutL+rdxr453eUdTRrtz9BFhVOOO90qz5em00cU6763ntVZ+eO0q7lGbYFubazdr5tKzpTX6VJ38MRrOgAM3LrKXZqQlqvTRxSZjoI4QbHAsKhob9bvd71uOgaAU7S9qUrfePPvR912U8mZqupo0XOHtvaXCqlvGtTmhnK1Bbo/9DGdliWXw3nU+0p9W1FbJ9ju8pMT5+nJvW+pO9Qrhyw5Lcfhx+r72yG2yQSG0+93va5RKRkamZJhOgriAIu3MWSBUFC/2v7Sh+4MAyC6dQd7VdHRfNSf7mCv2nu7VXHEuobcJL8mpo844aLtb8z9qGZlj5IkdQV7taOpWlcWz1ZJ+ghle1M0f0SxzhxRrLfrjz334pz88WoNdOudhnJJ0p6WOk3OyFNxarYuKJysivYmdQYDYfjsgcTVHerVr7ZvUCAUNB0FcYARCwzZU2Wbj3riASB+nZ03Xk3dHf27On1QfnK6fE53/9u/3r5BlxfN1C2TzlKKy6OG7nY9vf8dra/cfdT7pbqTdMnoqfrfzav6bytrq9eq8u26Y+oitQa69PCOV8PzSQEJrqKjWU+VbdbV4+aYjoIYx8nbGJIdTdX68ZbVbC0LAEAMsyR9Yfr5mpSRZzoKYhhToXDKOnt7tHTnK5QKAABinC1p6c5X1Ml28RgCigVO2aO7N3IiLgAAcaKxu0OP7t5oOgZiGMUCp+SN2v16vbbMdAwAADCMXq8t0xu1+03HQIyiWGDQ+l7ReMN0DAAAEAaP7n6DGQk4JRQLDIpt21q281V1MAcTAIC41NHbo2U7XxX7+2CwKBYYlDUVO7Wtqcp0DAAAEEbbmqq0pmKn6RiIMRQLDFhFe7P+XLbJdAwAABABfy7bpErOqcIgUCwwIMFQSL/d8TIncwIAkCACoaB+s/1lBUMh01EQIygWGJC/Hdiig+2NpmMAAIAIOtjeqL8eeMd0DMQIigVO6mBbo547tNV0DAAAYMDzh7bpYBsvLuLkKBb4UCHb1u93vaYQO0MAAJCQeC6AgaJY4EOtrdipsrYG0zEAAIBBZW0NWssuUTgJigVOqLG7Q0/v32w6BgAAiAJP79/MwXn4UBQLnNBjezaqK9hrOgYAAIgCXcFePbZno+kYiGIUCxzXW3UHtbn+kOkYAAAgimyuP6S36g6ajoEoRbHAMTp7A3qcVyQAAMBxPL5nozp7A6ZjIApRLHCMp8o2qamn03QMAAAQhZp6OvVU2SbTMRCFKBY4yt6WOq2r3G06BgAAiGLrKndrb0ud6RiIMhQL9AuGQvr9rtdli32qAQDAidmy9ftdrytoh0xHQRShWKDfqvJtKu9oMh0DAADEgPKOJq06tN10DEQRigUkSbWdbXrmwLumYwAAgBjyzIEtqu1sMx0DUYJiAUnSE3vfVCAUNB0DAADEkEAoqCf2vmk6BqIExQLa3lSlzQ3lpmMAAIAYtLmhXNubqkzHQBSgWCS4kG3rib1vmY4BAABi2BN731LIZvOXREexSHAvV+/RofYm0zEAAEAMO9TepJer95iOAcMoFgmsqzegp8veMR0DAADEgafL3lEXJ3InNIpFAnv20HtqCXSZjgEAAOJAS6BLzx56z3QMGESxSFB1XW1aXb7DdAwAABBHVpfvUH1Xu+kYMIRikaD+vG8T28sCAIBhFQgF9ed9b5uOAUMoFglod3Ot3qw7YDoGAACIQxvrDmhPS63pGDCAYpFgbNvmIBsAABBWT+x9SzbbzyYcikWCea22TGVtDaZjAACAOLavtV5v1O43HQMRRrFIID3BXj21b7PpGAAAIAH8uWyTeoK9pmMggigWCeQf5dvV2NNhOgYAAEgAjd0d+kf5dtMxEEEUiwTR2dujVeXbTMcAAAAJZFX5NnX29piOgQihWCSIf5RvVwenYQIAgAjq6A0wapFAKBYJoD3Qw2F4AADAiNXlO9QeYNQiEVAsEsCq8m3qDDJaAQAAIq8zGNA/mI6dECgWca4t0K01FYxWAAAAc16o2KH2QLfpGAgzikWcW3Vom7rY6g0AABjUFezV84cYtYh3FIs41trTpTWVO03HAAAA0JrKnWoLdJmOgTCiWMSx5w5tUzejFQAAIAp0B3v1HKMWcY1iEadaejq1jtEKAAAQRdZW7FRLD6MW8YpiEadWHtyqnlDQdAwAAIB+PaGgnju01XQMhAnFIg4193RqfdVu0zEAAACOsa5yl5p7Ok3HQBhQLOLQswffU4DRCgAAEIUCoaBWHmTUIh5RLOJMS0+nXqraYzoGAADACb1YtVstjFrEHYpFnFlbsYvRCgAAENUCoaDWVuwyHQPDjGIRR3qCvVpXyf+kAAAg+q2r3KUetsWPKxSLOPJKzT619XabjgEAAHBSbb3deqVmn+kYGEYUizhh27ZWl283HQMAAGDAVpdvl23bpmNgmFAs4sQ7DeWq7mw1HQMAAGDAqjtb9U5DuekYGCYUizix6hCjFQAAIPbwHCZ+UCziQFlrvXa11JiOAQAAMGi7WmpU1lpvOgaGAcUiDvyDtRUAACCG8VwmPlAsYlx9V7verDtgOgYAAMApe7PugBq6203HwBBRLGLc6ortCrGbAgAAiGEh29YL5TtMx8AQUSxiWGdvjzZU7TEdAwAAYMherNqjzt6A6RgYAopFDHuxao+6OLESAADEga5gQC9V7TYdA0NAsYhRIdvWmgqGDAEAQPxYU7GTKd4xjGIRo7Y2Vqqhu8N0DAAAgGFT392urY2VpmPgFFEsYtSLDBUCAIA4xHOc2EWxiEHNPZ16p6HcdAwAAIBh905DuZp7Ok3HwCmgWMSgV6r3Mv8QAADEpZBt65XqvaZj4BRQLGKMbdt6iS1mAQBAHNtQtUc2L6LGHIpFjNnRXK3arjbTMQAAAMKmpqtNO5trTMfAIFEsYgyjFQAAIBGwiDv2UCxiSFugS2/XHTQdAwAAIOzerjuotkC36RgYBIpFDHmlep967ZDpGAAAAGHXa4f0as0+0zEwCBSLGMI0KAAAkEg28NwnplAsYsTu5hpVdbaYjgEAABAxFR3N2tNSazoGBohiESNepLEDAIAExIyN2EGxiAGdvT16s+6A6RgAAAARt7F2vzp7A6ZjYAAoFjHg7fpDCoSCpmMAAABEXE8oqE317IoZCygWMWBj7X7TEQAAAIzhuVBsoFhEubZAt7Y1VZmOAQAAYMy2pmq1c6ZF1KNYRLm36g4qZNumYwAAABgTtEN6i0OCox7FIsox9AcAACBtrOM5UbSjWESx5p5O7WyuMR0DAADAuJ1NNWrp6TIdAx+CYhHF3qo7IFtMgwIAAAjJ1ltsvx/VKBZR7I1a/ucBAAB43xtMEY9qFIso1djdob0cYQ8AANBvT0utGrs7TMfACVAsotTG2v1MggIAADiCLelNpkNFLYpFlGI3KAAAgGPxHCl6USyiUG1nm8raGkzHAAAAiDr7WutV39VuOgaOg2IRhdinGQAA4MQYtYhOFIsoxFZqAAAAJ8Y6i+hEsYgyzT2dOtjWaDoGAABA1DrQ1qDmnk7TMfABFIsos6Whgt2gAAAAPoQt6d2GCtMx8AEUiyjD/yQAAAAn924jz5miDcUiigRDIW1rqjIdAwAAIOpta6xS0A6ZjoEjUCyiyO6WWnUFA6ZjAAAARL3OYEB7mmtNx8ARKBZRZEtDuekIAAAAMWML06GiCsUiirC+AgAAYOB47hRdKBZRoq6rTZWdLaZjAAAAxIyKjmY1cAp31KBYRIktNG4AAIBBYzpU9KBYRAmG8gAAAAaP51DRg2IRBQKhoHY0V5uOAQAAEHN2NFUrEAqajgFRLKIC/0MAAACcmu5Qr3Y115iOAVEsogLbzAIAAJw6nktFB4pFFOC0bQAAgFO3tZHnUtGAYmFYS0+nqjtbTccAAACIWVWdLWrp6TIdI+FRLAzbxVH0AAAAQ7a7hedUplEsDNvVwmIjAACAoWIBt3kUC8N2M2IBAAAwZLt5sdY4ioVBnb09OtTeZDoGAABAzDvU1qSu3oDpGAmNYmHQ7pZa2bJNxwAAAIh5IdmsszCMYmEQ06AAAACGD8XCLIqFQbv45gcAABg2LOA2i2JhSCAU1P7WetMxAAAA4kZZa70CoaDpGAmLYmHIvpY69doh0zEAAADiRq8dUhkv3BpDsTCEaVAAAADDj+lQ5lAsDOGbHgAAYPjx4q05FAsDQnZIe1vrTMcAAACIO3tbahViurkRFAsDDrU3qTvYazoGAABA3OkK9qq8vdl0jIREsTDgYFuj6QgAAABx60Bbg+kICYliYcABigUAAEDYHGrnuZYJFAsDDvLNDgAAEDa8iGsGxSLCbNumRQMAAITRofZG2bZtOkbCoVhEWE1XKwu3AQAAwqgr2KvarjbTMRIOxSLCWLgNAAAQfjznijyKRYTxTQ4AABB+B9rZGSrSKBYRdoD1FQAAAGF3iBdzI45iEWGMWAAAAIQfO0NFHsUigpp7OtUa6DIdAwAAIO61BLrU3NNpOkZCoVhEEKdAAgAARA4zRSKLYhFBfHMDAABEDtOhIotiEUEUCwAAgMg5yM5QEUWxiCBO3AYAAIicQ+1NpiMkFIpFhPSGgqrtajcdAwAAIGHUdbUpaIdMx0gYFIsIqelsky3bdAwAAICEEbJt1fPCbsRQLCKkprPFdAQAAICEU9PZajpCwqBYREgV39QAAAARR7GIHIpFhDBiAQAAEHm1XRSLSKFYREg1bRkAACDiGLGIHIpFhCR1tMrB2m0AAICIqulqMx0hYbhMB0gEdk+XPvvK32U7XQqmZqvDn6GmZL9qvMk65HZrj8PSPkkhy3RSAACA+FLf1a6gHZLT4vX0cKNYREJznSTJCvbK1VSttKZqpUkaI6n08F36SkeWOv0ZavKlqjbJp0Nuj/Y4HNorW0FKBwAAwKAF7ZAautqV60s1HSXuUSwiobn2pHfpKx01Sm2qUaqk0ZLmvH/R4VQwNVOd/kw1Jaeq1utTudujvS6ndiukXtE6AAAATqS6s5ViEQEUiwiwW+qG9gChoJzNdfI318kvaZSk2e9fczgV9Geo05+p5pQ01Xp9qnB7tNfp1B7Z6qZzAACABMfOUJFBsYiEAYxYnLJQUM6Wevlb6uWXVChp1vvXLIeC/gx1pWaqJTlNtUnJKnd7VOZwaJcldVE6AABAAmBnqMigWESA3TzEEYtT/sAhOVsblNLaoBRJBZJmvH/NshRK+WfpqEtKVrnHqzJnX+noMJMYAABg2NV0sjNUJFAsIiGcIxanyrblaGtUclujkiXlS5rWf9FSKCVdXamZak3pKx0Vbq/KXC7tlK12RjoAAEAMYSpUZFAsIqGl3nSCQbLlaG9ScnuTkiXlSZp6xNVQcpq6U7PUmpKuuqRkVXq82u90aodD4n9bAAAQbZq6O01HSAgUizCz25ulQLfpGMPK0dEiX0eLfJJGSDrtiGuh5FT1HC4d9UkpqvB4tN/l0k5ZarY4IRAAAERed6hXXb0BJbncpqPENYpFuJlaX2GIo6NVSR2tSpKUK2nyEddsn1/dqVlqO1w6Kr1e7Xe6tMshNRjKCwAAEkNzoJNiEWYUi3BrazSdIGpYnW1K6mxTkqQcSZOOuGYnpajncOlo8KWo0pOkAy6XdllSLWs6AADAEDX3dCnPl2Y6RlyjWISZ3cUuBANhdbXL29Uub+1BZUuaeMQ125usQGqW2vzpakjyq8rr1QGXW7sdUpWpwAAAIKa09LDOItwoFuHW2W46Qcyzujvk6e5QVt0hZUmacMQ12+NTIC1L7SnpavD5VeVJ0kG3W7stqYKRDgAAcFhLT5fpCHGPYhFujFiEldXTKU9duTx15cqUNP6Ia7Y7SYG0LHWkZKghOUXVHp8OuFza43DoEAvJAQBIKM0BRizCjWIRbl2MWJhiBbrkqa+Qp75CGZLGSZp/+Jrt9qo3NUvt/gw1+vyq8SbpoMut3Q5LB2XLthjuAAAgnjQzYhF2FIswsznpMSpZgW65GyqV0VCpDEnFks44fM12udWbmq0Of4Yak/2q8fh0yO3WHoelMkoHAAAxiTUW4UexCDdGLGKO1RuQu7FK6Y1VSpdUJOn0w9dsp1vB1Cx1+DPUlOxXjdenQ26P9jgs7ZMUonMAABCVWGMRfhSLcKNYxBUrGJCrqVppTdVKkzRGUunha7bTpWBqljr9GWrypao2yadDLrf2OJ3aK1tBSgcAAMY0M2IRdhSLcGMqVMKwgr1yNdUotalGqZJGS5rz/kWHs3+kozk5VbVen8rdHu11OrTbstUrWgcAAOHUGuhWyA7JYTlMR4lbFIswsm2bEQv0CQXlbK5VanOtUiWNkjT7/WsOp4L+DHWmZh4uHcmqcHu01+nUHtnqpnMAADBktmy1BrqV7vGZjhK3KBbh1NMp2SHTKRDtQkE5W+rlb6mXX1KhpFnvX7McCvoz1JWaqZbkNNUm+VTu9qrM4dAuS+qidAAAMGAtPV0UizCiWIQTh+NhqOyQnK0NSmltUIqkAkkz3r9mWQqlHFk6klXh8arM2Vc6OsylBgAgKrUFuk1HiGsUi3DicDyEk23L0dao5LZGJUvKlzS9/6KlkD9dXf5MtaakqS4pWRXuJJU5ndpp2WpnpAMAkIC6ggHTEeIaxSKcWLgNY2w52pqU3NakZEl5kqYecTWUnKbutGy1JveVjkqPV2VOl3Y6bLUaSgwAQLh1B3tNR4hrFIswslm4jSjl6GiRr6NFPkkjJJ12xLVQcqp6UrPUmpKu+qQUVXg82u9yaacsNVu2ocQAAAwdxSK8KBbhRLFADHJ0tCqpo1VJknIlTT7imu3zqzs1S22HS0el16v9Tpd2OaQGQ3kBABiorhBTocKJYhFOTIVCnLE625TU2aYkSTmSJh1xzU5KUc/h0tHgS1GlJ0n7XS7ttqRa1nQAAKIAIxbhRbEIJ0YskECsrnZ5u9rlrT2obEkTj7hme5PVk5at9pQ0NST5VeX1ar/Lrd2WVE3pAABECMUivCgW4cSuUIAkyerukLe2Q95aKUvSBEnnHL5me3wKpGWpLSVDjb4UVXmSdNDt1m7LUgVrOgAAw4hiEV4UizCyOccCOCmrp1OeunJl1ZUrS9L4I67Z7iQF0rLUkZKhhmS/qj1JOuByaY/DoUOUDgDAIHWz3WxYUSzCialQwJBYgS556ivkqa9QhqRxkuYfvma7vepNzVK7P0ONPr9qvD4ddLm022HpoGzZFnOsAABHY8QivCgW4dTbYzoBELesQLfcDZXKaKhUhqRiSWccvma7POo9PNLRmPx+6XBrj8PSfkoHACSsLopFWFEswoqpGoAJVm+P3A1VSm+oUrqkIkmnH75mO90KpmWpw5+hpsMjHYfcHu1xOLRPtkJ0DgCIW0yFCi+KRTjZFAsg2ljBgFyN1UprrFaapDGSSg9fs50uBVOz1OnPUFNyqmq8PpW73NrjdGqvbAUpHQAQ05gKFV4UCwA4zAr2ytVUo9SmGqVKGi1p7vsXHU4FU/tGOpqTU1WblKxDLrf2OR3abdnqFa0DAKJdV4hiEU4Ui3CyQ6YTABguoaCczbVKba5VqqRRkma/f83hVNCfqU5/hppTUlXrTVa5x6N9Dod2SQrQOQAgKvQwYhFWFItwYiYUkBhCQTlb6uRvqZNfUqGkWe9fsxwK+jPUlZqp5uQ01SX5VO729o10SOqidABAxAR50TesKBbhxBoLAHZIztYGpbQ2KEXSSEkz3r9mWQqlZKgzNUstKamq8yarwuPVPqdTuyxbneZSA0Bc4qlZeFEsworvXgAfwrblaGtUSlujUiQVSJref9FSyJ+uLn+mWlLSVZeUrAq3R/udLu20bLUz0gEAgxbiuVlYUSzCiVoM4JTZcrQ1KbmtScmS8iVN679mKZSSpu7UTLUmHy4dHq/KnE7tckitxjIDQHSzeW4WVhSLsOKbF0A42HK0N8vX3iyfpBGSTjviaig5Td2pWWpNSVNDUso/S4clNTPSASCB8cwsvCgW4UQrBmCAo6NFvo6W/tIx+Yhrts+v7tRstaWkqT4pRZVe7+HpVVIjpQNAnGPEIrwoFuHENy+AKGN1timps01JknIkTTrimp2Uop7ULLX609WQlKIqT5L2u1zaZUl1lA4AccBmzCKsKBYAAEmS1dUub1e7vLUHlSOp5IhrT4y7QxXNQVPRAGD4nGs6QPxymA4Q19grGUCcmNez2XQEABgyi9HXsKJYAABOqujQixqRxiA3AODEKBbhxBoLAHGkNLTNdAQAGBKLIYuwoliEE8UCQByZcGC1svyMWgCIXdSK8KJYhBPFAkAcsWxbcx17TccAgFPGiEV4USzCimIBIL5M3v+c0pKdpmMAwClxuSgW4USxCCdGLADEGUeoV3M8FaZjAMApcTl56htOfHUBAIMytWyFkr2MWgCIPRSL8OKrG05ur+kEADDsXMEuzU6uNR0DAAbN5eKpbzjx1Q0nb7LpBAAQFjMO/F1eN79CAMQWRizCi69uOCVRLADEJ09Pm2amNZuOAQCD4nKyeDucKBbhxIgFgDg268AKuZlWACCGMBUqvPjqhpHl8ZmOAABh4+tq0LT0DtMxAGDAmAoVXnx1w4kRCwBxbk75SjkdTC0AEBsoFuHFVzeckhixABDf/O2VmpLZYzoGAAwIU6HCi69uODFiASABzK1eLYtBCwAxgHVh4cVXN5woFgASQEbzPpVkhUzHAICTSvK4TEeIaxSLMLIoFgASRGn9OtMRAOCkkrxO0xHiGsUinCgWABJETv12jcsynQIAPlySlxGLcKJYhJOXxdsAEse85ldNRwCAD8VUqPCiWIQTIxYAEkh+zdsancmvFQDRi6lQ4cVvgHCiWABIMPM63jQdAQBOiKlQ4UWxCCemQgFIMKMrXlVBOq8IAohOFIvwoliEkeV0SS6P6RgAEFGlgXdNRwCAY1iWlOThhY9woliEG9OhACSY4oPrlJPKq4IAoovH7ZTFaZ5hRbEItySKBYDEYslWqXaZjgEAR2EaVPhRLMKNEQsACWji/lXKSOGXOIDokZzEz6Rwo1iEm4cF3AASj8MOaq5rv+kYANDPn8y613CjWISZlZxqOgIAGDFl/0r5k1goCSA6+JPdpiPEPYpFuKVlm04AAEY4gz2a46syHQMAJDFiEQkUi3BLzzGdAACMmVb2d/k46RZAFGDEIvwoFmFmpeWajgAAxrh7OzUrpd50DABgxCICKBbhxogFgAQ388AKedz8ugFgViojFmHHT/pwS82UHEwDAJC4vN3NmpHWajoGgATnT2HEItwoFmFmWQ4WcANIeLMPPSuXkxNvAZiR5HXK5eRpb7jxFY4EpkMBSHDJHbWamtFlOgaABMX6isigWEQAC7gBQJpT+bwcDkYtAEQeO0JFBsUiEhixAACltR7S5MyA6RgAElC632s6QkKgWEQCxQIAJEmltS/IYtACQIRlpFIsIoFiEQFWOlOhAECSMhv3aEKmbToGgASTkZpkOkJCoFhEAiMWANBvXuOLpiMASDAZaYxYRALFIgIsX6rk5hsaACQpt+49FWUyHwpAZFiWlM5UqIigWEQK06EAoN+8ttdMRwCQIPzJHs6wiBC+ypHCdCgA6Dey6k0VZjhNxwCQAFi4HTkUiwix0igWAHCkeV2bTEcAkAAy01i4HSkUi0hhKhQAHGVs+UsakeYyHQNAnGPEInIoFhFiMRUKAI5RGtxqOgKAOMeOUJFDsYgUigUAHGPCgReU5WfUAkD4cIZF5FAsIoWpUABwDEu2Sq09pmMAiFNOh6XMdEYsIoViESGW28uoBQAcx6QDzystmVELAMMvMz1JTgdPdyOFr3QkjRhrOgEARB1HqFdzPYdMxwAQh3IyfaYjJBSKRQRZeRQLADie08qeVXIS51oAGF65FIuIolhEkMWIBQAclyvYpTm+GtMxAMSZnIxk0xESCsUikvKKTCcAgKg1ff/f5fXwawnA8GEqVGTxEzyCLJ9fSss2HQMAopIn0K5Z/ibTMQDEiSSvU6kpHtMxEgrFItKYDgUAJzTr4Aq5XfxqAjB0ORmMVkQaP70jzGI6FACcUFJXo6ant5mOASAO5GSyviLSKBYRxs5QAPDh5pSvlNNhmY4BIMaxviLyKBaRxlQoAPhQKe3VOi2zx3QMADFuRBYjFpFGsYgwKzlVSs0yHQMAotrc6udlMWgB4BQ5HRZnWBhAsTCBUQsA+FDpzQc0KStkOgaAGDUiO1lOJ09zI42vuAGsswCAkyutX2s6AoAYlZ+TYjpCQqJYGMDOUABwctn1OzSemaMATkEBxcIIioUJjFgAwICUNr9sOgKAGJSf6zcdISFRLAywktMkf6bpGAAQ9fJrNmtMJr+qAAycz+tSRqrXdIyExE9rUxi1AIABmde+0XQEADGE9RXmUCwMsdgZCgAGZFTlaypId5qOASBG5OdSLEyhWBjCzlAAMHClPVtMRwAQI1i4bQ7FwhR2hgKAARt3aJ1yU12mYwCIAUyFModiYYiVki6l5ZiOAQAxo9TeYToCgCiXneFTkpcXIUyhWBhkjT3NdAQAiBkTD6xSRgpPGACc2Oj8VNMREhrFwiCKBQAMnGXbKnWWmY4BIIpRLMyiWJg0eopkWaZTAEDMmLz/WaX62CEKwPGNyqNYmESxMMjy+SW2nQWAAXOGejUnqdJ0DABRKCfTJ18S0yVNolgYxnQoABicaWUr5PMyagHgaEyDMo9iYZg1ZqrpCAAQU1y9nZqdUmc6BoAowzQo8ygWphVOkFwe0ykAIKbMOLBCXje/wgD80yhGLIzjp7JhltMljSoxHQMAYoq3u0Uz0lpMxwAQJXIzffJxfoVxFIsowDoLABi8WQeflcvJznoAGK2IFhSLKMA6CwAYvOTOOk3L6DQdA0AUGFOQZjoCRLGIClbuKCkl3XQMAIg5cyqek8PBqAWQyJwOS2MYsYgKFIsoYY1hOhQADFZqW4WmZAZMxwBg0Ki8VLndbEEdDSgW0YJ1FgBwSkpr/iGLQQsgYRWPYtZHtKBYRAlGLADg1GQ07dPEzJDpGAAMKS6kWEQLikWUsPwZUnah6RgAEJNKG9abjgDAgIxUrzLTk0zHwGEUiyjCtrMAcGpy67epOIv5UECiKWK0IqpQLKKINZZtZwHgVM1redV0BAARxvqK6EKxiCajSiQnp0YCwKkoqH5LozLYGQZIFC6XQ6PZZjaqUCyiiOX2SgXjTccAgJhV2vW26QgAImR0fqpcTp7KRhP+a0QZa9wM0xEAIGaNLd+gvDRGLYBEMI71FVGHYhFlrJJ5kliACACnal7vVtMRAETA+DEZpiPgAygWUcZKy5ZGMh0KAE7VuINrlO1nvRoQz0aO8Muf7DEdAx/AT94oZE06XXbFbtMxACAmWbJVau3WcyoyHSVhFOb5VTo1X3nZyfIne/T0C7u152BT//Uv3lR63Pdbv/GgNr5XfdxrbpdDZ88u1IQxGUpOcqumoUNrXj+g6vqO/vvMnZqneVPzJUlvvFulN7f+87Hyc1J0/plj9Ojft8m2h+GTRFQpGZtpOgKOg2IRhaySUtlr/yDZnCQLAKeiZP/zemXUZ9XS0Ws6SkJwuxyqbezQe7vrdOniCcdc/+Xjm456u3hUui46q0i79jee8DEvOqtI2Zk+PfvSPrV3BDRlXLauuqhEy55+T20dAeVk+nTWrJF6anXfC3GXnz9R+ytaVNfUKcuSLjhzrFa9UkapiFMTKRZRialQUchKSe/behYAcEocdlClnoOmYySMsvIWvfx2hXYfaDru9Y6u3qP+jB+doYNVrWpu6znu/V1OSxPHZurFjYdUXt2mptZuvbK5Qk2t3ZoxKVeSlJWWpLrGTh2satXBqlbVNnb0n8BcOjVfh6pbjxrdQPzIz0lRagrToKIRxSJKWZNONx0BAGLalLIVSklih6hok5zkUvGodL27q+6E97EsSw6Hpd7g0SP3vb0hFY7oO7egrqlTmWlJSk3xKDXFo8y0JNU3dSo91atpE3K04e3ysH4eMIfRiuhFsYhS1sS5koNfiABwqlzBHs3xHX/+Psw5bXyOAoHQh06DCvSGVFHTpjNnjlSKzy3LkqaMy1JBrl8pPrckqaG5Sy+9Va4rLyzRlReW6KW3ytXQ3KULzhyr9W8eUlFhum68dKo++bHTVJjnj9SnhwhgfUX0Yo1FlLJ8fmnsadK+LaajAEDMmr5/hd7IuVldPaxZixbTJmZr2956BUMfvvjh2Zf2aclZRbr9mpkKhWzVNHRox74GjchO7r/POztr9c7O2v63TxufrUBvUJW1bbr58ml69JltSk3x6KMLxuk3f9py0o+J6DciK1npqV7TMXACFIsoZk06XTbFAgBOmTvQrln+Rr3awEFa0aBwhF9Z6T49s27vSe/b3NqtPz63Qy6XQ163U+2dAX10wTg1t3Uf9/5JXpfOnDlSf1y5Xfm5KWpq6VZTa98fh8NSZlqS6po6h/tTQoSVFDFaEc2YChXFrAmzJafbdAwAiGkzD6yQx8Wvu2gwbWKOquraVdc48Cf4vb0htXcG5PU4NbYwTXtOsEB80bzRemtrtdo6AnJYlhzWPw+bdViWLM6ejQusr4hu/KSNYpbHJxVPNx0DAGJaUneTpqe3mY4R19wuh3IzfcrN9EmS0lO9ys30HbVzj8ftUMnYzBMu2r7qohLNmpzb//bYkWkqGpmmNL9HYwrSdPWSSWps7tJ7u+uPed8xBWnKTPNq0/YaSVJVXbuy0pNUVJim6RNzZNu2Glu6hvNThgF52cnKTEsyHQMfgqlQUc6adLrs3W+ZjgEAMW12+UptSrlSwSBz7MMhLztF11w8qf/tRfNGS5Le212n5zaUSZImFWVJlrR9X8NxHyM91Suf95+j9F63U+fMLZQ/2aOu7l7tPtCkl94qV+gDB1O4nJbOO2OM/r5uT/9tbR0BvfD6AS05u1jBYEgrXypTL//tY96U8dmmI+AkLNvm6JhoZge6FfrlF6TA8eeUAgAGZk3Jp/VOPXvfA7HI4bB029UzlJzEFPFoxlSoKGe5vbLGzTIdAwBi3tyqVXIwzx6ISUUj0ygVMYBiEQOsyRyWBwBDldZyQJOygqZjADgFpzENKiZQLGJB0TTJm3zy+wEAPlRp3Rp2BwJijNfj1LjRGaZjYAAoFjHAcrr6tp4FAAxJVsMujWe3SiCmlBRlyuXkKWss4L9SjLAmMR0KAIZDafNLpiMAGASmQcUOikWsGHOalJxmOgUAxLy8mi0am8mvPyAWpKd6VTgi1XQMDBA/WWOE5XDImnKm6RgAEBfmtb9uOgKAAThtHKMVsYRiEUOsGYskseoQAIaqsPINjcxwmo4B4ENYljR1AsUillAsYoiVmSeNmWI6BgDEhdLud0xHAPAhikamK83vNR0Dg0CxiDGOmYtMRwCAuFB8aL1GpLlMxwBwAjMm5ZqOgEGiWMSa8bOklAzTKQAgLpSGtpmOAOA4UlM8Gjcq3XQMDBLFIsZYDqes6eeajgEAcWHCgdXKTGHUAog20yfmyOI0y5hDsYhB1vQFksV/OgAYKsu2VercZzoGgCM4LEvTJuaYjoFTwLPTGGSlZknjZpiOAQBxYdL+lUr1sUMUEC3Gj8mQP9ljOgZOAcUiRjlmLDIdAQDigjPUq7neCtMxABw2o4RF27GKYhGriqZJ6SNMpwCAuDC1bIWSvYxaAKZlpHk1poCTtmMVxSJGWZYla/Z5pmMAQFxwBbs0O6XOdAwg4c2YmMui7RhGsYhh1tRzJE+S6RgAEBem718hr5tfi4ApLpdDU1m0HdP4CRrDLK9P1mlnm44BAHHB29OimWnNpmMACWvq+Gz5vGz/HMsoFjHOmn2+xJAhAAyLWQdWyO3iVyMQaZYlzTktz3QMDBE/PWOclZknFbP1LAAMB19Xg6ald5iOASSccaMylJnG9O5YR7GIA47ZF5iOAABxY07Fc3I6GAkGIql0KqMV8YBiEQessadJ2SNNxwCAuOBvq9CUzB7TMYCEkZ+TosI8tpiNBxSLOGExagEAw2Zu9WqWrwERMpfRirhBsYgT1pT5UpLfdAwAiAsZzftUkhkyHQOIe2l+jyaOyTQdA8OEYhEnLLeHA/MAYBiVNqw3HQGIe7Mnj5CDNU1xg2IRR6w5F0reZNMxACAu5NRv07gsnvAA4eJ1OzW9JNd0DAwjikUcsbzJfeUCADAs5jW/YjoCELdmTs6Vx+00HQPDiGIRZxi1AIDhk1/ztkZn8KsSGG5ul0NzT8s3HQPDjJ+Wccby+mTNvch0DACIG6Wdb5mOAMSdmZNy5UtymY6BYUaxiEPW7AsYtQCAYTKm4hXlpzNdAxguLpdDpVMZrYhHFIs4ZHl9skqXmI4BAHFjXu97piMAcWNGSa6SfW7TMRAGFIs4Zc0+n3MtAGCYFB9Yq5xUpm0AQ+V0Wpo3jdGKeEWxiFOWh7UWADBcLNkqtXeZjgHEvOkTc5XCaEXcoljEMWv2eYxaAMAwmXhgldJTGLUATpXTwWhFvKNYxDHLw1oLABguDjuoUtcB0zGAmDV1Qo5SUzymYyCMKBZxzpp1nuRj1AIAhsOU/c/Kn8QOUcBgOR2WTp/OaEW8o1jEOcuTJKv0YtMxACAuOIM9muOrMh0DiDnTS3KV5veajoEwo1gkgL5Ri1TTMQAgLkzb/6x8XkYtgIFyuxw6c0aB6RiIAFahJQDL7ZVVerHsF58wHQUxyJqxSNbMRVJaTt8N9RUKvfpXqezdY+7ruPzzsoqnK/j0z6Q9b5/4MedfKmvS6VJqlhTslar3K7Thz1LVvr47OF2yLrxZ1vhZUkezQqt/Lx3Y9s/3L10ipWbLXvPoMH6mwMC4A+2aldKgV7rTTUcBYsLcqXmcW5EgGLFIENasxVJymukYiEF2W6NCL/1JoeXfVGj5t2Qf3CbHJ/5Dyh551P2sORdKsgf2oI3VCr2wXKHf3a3Q4/8ju6VOjiu/2L8eyJq+QFbeWIX+8B3Z76yX4yO3/fN903JkTV8ge8Ofh+kzBAZv5oG/y+PmVyhwMslJLk7ZTiD8VEwQ749aAIO2d7O0b4vUVCM1Vcve8Bcp0C2rYNw/75M7WtbcixR6bumAHtLe/lrfCERznVRfIXvd47K8yVLO6L47ZI2UvWdT37XNL8hKTusvHY4LPqnQi09KPV3D/IkCA+ftbtaMtFbTMYCod8aMAnncTB1MFBSLBGLNXMSoBYbGsvqmMLk8siv29N3m8sjxkdsUemG51NEy+Md0OGVNXyi7q0OqPdh3W+1BWYUTJZdbGjtNdluT1Nkma/IZUm+vtPvE06yASJl96Fm5nJbpGEDUSvd7NKMk13QMRBBrLBKI5fbKOv0jstf+wXQUxJqcQjn+5b/7nuj3dCv0t59LDZWSJGvRtbIrdkt7Ng3uMYtnyPHR2yW3R2pvVuhPP5S62iRJ9nsvSbmj5LjpW1Jnm0LP/EJKSpF11mUK/fF/ZZ11uazJ86SmWoWeXyq1NQ3rpwsMRHJHraaO6tLmena6AY7nrNmFcjp5DTuRWLZtD3BSNOKBHexV6Hf3SI1sl4hBcDiltGzJ45NVMlfWtAUK/fF7UsYIORZeq9DvvyEFuiVJzi/+5qSLtyVJLo/kz5B8/r41FaMnK/TofVLn8aeXWBd9Sqo9KLu5Vo5zrlTo0W/LmneJrJxChf72wDB/wsDAtKSO0rKkSxUK8asUOFJupk+f/PhpsixG9RIJNTLBWE6XHIuvMx0DsSYU7FtjUbNf9kt/7puqNOcCWWOmSBm5cvz7T+X4/ENyfP4hSZLj45+V4+qvfPhj9vb0PWblXtnPPyyFQrKmnXv8+46eJCtnpOxNq2WNnix73ztSb4/snW9IoyYN7+cKDEJa6yFNzgyYjgFEnXPmjKJUJCCmQiUgq2iaNH7W4KeuAO+zLMnplv3y07K3vHjUJedN35S97g+y92we/GO6jvMjyemS47xPKrTiV5JtS5bjny+JOJx9bwMGldau0TbnhWL8H+gzOj9VxaPYjjkR8Rs5QTkW/YvkZE9pnJx1zhVSYUnfVKicwr63R0+Sve3VvsXa9eVH/5FktzRILXX9j+G4+dvShNl9b7g8ss6+QioYJ6VmSyPG9k1z8mfK3rnx2I9/5sdl79si1R7ou6Fil6yJc6WcUX2HP1bsDvvXAPgwmY27NSGTVgFIfa8RLT59jOkYMIQRiwRlpefKmnex7Ff/ZjoKol1ymhwXf1pKSZd6OqXaQwr96cfSga0Dfggrq0CWJ7nvlAs7JCsrX9bUz0pJfqmrXarap9Dj/yPVVxz9jtmFskrmKfTIvf032TvflEZNluPar0qNVX0jGYBh8xpf1C4tMB0DMG7mpBHKyfSZjgFDWLydwOxAj0LL/p/UUm86CgDEvKcnfFZljfxKReLyeV361OXTlOTldetExVSoBGa5PXIsuMZ0DACIC/PaXjMdATDqrNkjKRUJjmKR4KySUmnMaaZjAEDMG1n1pgozOGEYiSk308dheKBYQH3bzzr4ZQgAQ1XaNcjd0IA4sfj0MWwvC4oFJCt7pKzZ55uOAQAxr6j8RY1IYyoIEktJUaZG5aeajoEoQLGAJMk689K+XX8AAENSGhz4jmlArHO5HFpYOtp0DEQJigUkSZbXJ+vcq0zHAICYN+HAC8ryM2qBxDBvWr5SUzymYyBKUCzQz5oyXyoYbzoGAMQ0S7ZKHXtNxwDCLjPNq3nT8k3HQBShWKCfZVlynHdD37GZAIBTNmn/c0pLZtQC8e38M8fK5eSpJP6J7wYcxcobK2sap8cCwFA4Qr2a6zlkOgYQNlPGZWtMQZrpGIgyFAscwzrnCikpxXQMAIhpp5U9q+QktvJG/EnyOrVw3ijTMRCFKBY4huXzyzrrMtMxACCmuYJdmuOrNR0DGHYL5o5WcpLbdAxEIYoFjsuasUgaMdZ0DACIadMP/F1eD79qET9G56dq2sQc0zEQpfhph+OyHA45Lv605GTxIQCcKk9Pm2b5m0zHAIaF02npgvm86IgTo1jghKycQllnXW46BgDEtFkHV8jt4tctYt/8mSOVmZZkOgaiGD/p8KGs0oukwommYwBAzErqatT09HbTMYAhyc30qXQqZ1bgw1Es8KEsyyHHkk9Lbq/pKAAQs2aXPyengzOCEJscDktLzimWg+9hnATFAidlZeTKWnit6RgAELP87ZU6LbPHdAzglJw5o0AjspJNx0AMoFhgQBwzFkpF003HAICYNbf6eVm84IsYk5+TotOnF5iOgRhBscCAOS66mYPzAOAUpTcf0KTMkOkYwIA5nZYuPqeIKVAYMIoFBszyZ8g67wbTMQAgZpU2rDUdARiwc2YXKivdZzoGYgjFAoPimHyGrEnzTMcAgJiUXb9D47NMpwBOblSeX3NOyzMdAzGGYoFBs877pJSSbjoGAMSk0uaXTUcAPpTb5dCSc4plsSgIg0SxwKBZPr8cF33KdAwAiEn5NZs1JpNfv4heC+eNVrqfbeYxePxkwymxiqfLmr7AdAwAiEml7RtNRwCOq6gwTTNKck3HQIyiWOCUWQuvldL54QMAgzW68jUVpDtNxwCOkpzk0pKzi03HQAyjWOCUWZ4kOZbcIjZmB4DBK+3ZYjoCcJSLzylWis9tOgZiGMUCQ2KNKpE15yLTMQAg5ow7tE65qS7TMQBJUum0fBUVsjELhoZigSGzzr5cyh5pOgYAxJxS7TAdAVBBborOmV1oOgbiAMUCQ2a53HJccqvk5JU3ABiMiftXKSOFn50wx+t26iMLxnG6NoYFxQLDwhoxVtbi603HAICYYtm2Sl37TcdAArvwrLFsLYthQ7HAsHHMWChr2rmmYwBATJlctkKpPnaIQuRNL8lRSRFHwWP4UCwwrKzzbpDy2KoOAAbKGerVHG+l6RhIMNkZPi2aN8Z0DMQZigWGleVyy3HpZyVfqukoABAzpu5fIZ+XUQtEhsvl0EcXjJPbxdNADC++ozDsrNQsOT76r5LFtxcADIS7t1OzU+pNx0CCuGj+WOVk+kzHQBzimR/CwhozWda5V5qOAQAxY8aBv8vr5tcywmvOlBGaPC7bdAzEKX6CIWwcpRfLKplnOgYAxARvd4tmpLWajoE4Nio/VQtKR5uOgThGsUBYWUs+JWVz6A4ADMSsgyvkcnKeAIafP9mtj3FeBcKMYoGwstxeOS79d8nLXE4AOJnkzjpNy+gyHQNxxumw9PFF45Xsc5uOgjhHsUDYWZl5clzyGUm8SgIAJzOn8jleVcawWnzGGBXk+k3HQAKgWCAirHEzZZ35MdMxACDqpbaWa0pmwHQMxIlpE3M0oyTXdAwkCIoFIsaa/wmpeIbpGAAQ9ebWrJbFoAWGKD8nReedwSF4iByKBSLGsqy+KVHpI0xHAYColtm0VxMybdMxEMNSfG59fNF4uZw81UPk8N2GiLKSkvsWc7s8pqMAQFSb17jedATEKJfLocvOn6DUFH7XIrIoFog4K3eUrItuNh0DAKJabt1WFWcxHwqDd8k5xcrLTjEdAwmIYgEjHJPPkDXnQtMxACCqzWt51XQExJhz5xZq4thM0zGQoCgWMMZacI00frbpGAAQtQqq39KoDH5VY2CmTczRvGkFpmMggfHTCsZYDoccH71dKpxoOgoARK3Srk2mIyAGjM5P1flnsgMUzKJYwCjL5ZbjE5+TsgtNRwGAqDS2fIPy0pymYyCKZaYl6eOLxsvp4GkdzOI7EMZZSclyXPkFKS3bdBQAiEqlvVtNR0CUSvK6dNn5E5TkdZmOAlAsEB0sf6YcV3xRSvKbjgIAUWf8wTXK8vPEEUdzOi1duni8MtOSTEcBJFEsEEWsrHw5Lr+TMy4A4AMs2Zpn7TYdA1HEsqSPLhinUXmppqMA/SgWiCpWwTg5Pv5ZycF8YgA4UsmBVUpLZtQCfS6YP1YTxrCtLKILxQJRxyqefvgAPQ6GAoD3OUK9KvUcNB0DUeDs2YWaPjHXdAzgGBQLRCXHaWfJOvdK0zEAIKpMKVuhlCRGdBPZ7CkjdMYMzqpAdKJYIGo55l3C6dwAcARXsEdzfNWmY8CQScVZWjRvtOkYwAlRLBDVrIXXypp8hukYABA1pu1foSQPv74TzdiRabr4nCJZFtOEEb34yYSoZlmWrCW3SGOnmo4CAFHBE2jXLH+j6RiIoLzsZA7AQ0zgOxRRz3K6+naKyisyHQUAosLMAyvkdvErPBFkpyfpigsmyuNmbQ2iHz+VEBMsT5Icl39eysgzHQUAjEvqbtKM9DbTMRBmmWlJumrJJPmS3KajAANCsUDMsJJT5bjyC1JKuukoAGDc7PKVcjqZbx+vMlK9unpJiVJ8lArEDooFYoqVnivHFV+UktNMRwEAo1LaqzU1o9t0DIRBmt+jq5dMkj/ZYzoKMCgUC8QcK3eUHFd/RUrJMB0FAIyaW7VKDgYt4kpqSl+pSE2hVCD2UCwQk6zskXJc859SapbpKABgTFrLAU3KCpqOgWHiT3br6otKlO73mo4CnBKKBWKWlZknx7VfldJzTUcBAGNK69aYjoBhkOJz6+qLJikjLcl0FOCUUSwQ06y0HDmu+aqUmW86CgAYkdWwSxMYvI1pyUkuXXVRiTLTKRWIbRQLxDwrNbNvWlR2oekoAGBEafNLpiPgFKX43LrqoknKzvCZjgIMGcUCccFKSe8rFyPGmo4CABGXV7NFYzP5lR5rUlM8uubiScrJpFQgPvBTCHHD8vnluOrLUsE401EAIOJK298wHQGDkJHm1bUXT1ImayoQRygWiCtWUrIcV35RKpxoOgoARNSoytc1Mt1pOgYGIDsjSddePFlp7P6EOEOxQNyxPD45rviCNOY001EAIKJKe94xHQEnkZedrGuWTOZEbcQligXikuX2ynHZ56TiGaajAEDEFB9ar9xUl+kYOIGRI/y66qJJ8iXx3wjxiWKBuGW53HJc+u/ShDmmowBAxMyzt5uOgOMYU5CqKy+YKK+H6WqIXxQLxDXL6ZLjY/8qa9IZpqMAQERMOPAPZabwing0GT86Q5edP1FuN6UC8Y1igbhnOZyyPnKrrKlnm44CAGFn2bZKnftMx8Bh00ty9PFF4+Vy8pQL8Y/vciQEy3LIuuhTsmYuNh0FAMJu0v6VSvXx6rhpZ80aqQvnF8nhsExHASKCYoGEYVmWHOd/UtbCaySLH/IA4pcz1Ku53grTMRKWw7J00VlFOnPmSNNRgIiiWCDhOOYukeMT/yG52T8cQPyauv9ZJXsZtYg0t8uhT5w/QdMm5piOAkQcxQIJyRo3U45/+S8pNct0FAAIC1dvp2an1JmOkVCSk1y65uJJKi5MNx0FMIJigYRl5Y6W4/r/J+UXm44CAGExff8Ked38qo+EjDSv/uUjU5SXnWI6CmAMP22Q0KyUdDmu+aqsSfNMRwGAYeftadHM1GbTMeJeQW6KrrtksjJSmWKLxGbZtm2bDgGYZtu27Feelv3q30xHAYBh1enL1m9Tr1VvkF/34TBlXJYuPKuI7WQBMWIBSDq8Y9RZl8m65DOSk4OlAMQPX2e9pmd0mo4Rl86ZU6hLzh1HqQAOY8QC+AC7YrdCf/251NFiOgoADIs2/0g97LtMwRC/8oeD2+XQR84dp/FjMkxHAaIKFRv4AGvkBDmuv0vKLjQdBQCGhb+tQlMye0zHiAtpKR79yyWTKRXAcTBiAZyA3dOp0DMPSmVbTEcBgCFryijW71wXi9/6p65whF8fXzxeyUlu01GAqMSIBXAClscnx2WfkzX7fNNRAGDIMpr2aWJWyHSMmDV1Qo6uuqiEUgF8CEYsgAEIbV4je81jUihoOgoAnLK67ClarkWmY8QUh2Xp3LmFmjs133QUIOoxYgEMgGPmYjkuv1Py+kxHAYBTllO/TeOyLNMxYkaKz62rLiqhVAADxIgFMAh2Y7VCz/xCqj1oOgoAnJKqEbP1ePBM0zGiXmGeXx9bOF4pPqY+AQNFsQAGye4NyF7zmOwt60xHAYBT8ufx/66DTay3OJHSqXk6Z84oORyM7gCDQbEATlFo+2uy//E7qafLdBQAGJQDhfP1l65ZpmNEHa/bqSXnFGnCmEzTUYCYRLEAhsBurFLomV8yNQpAzHl83B2qamZDivflZvr0sUXjlZmWZDoKELMoFsAQMTUKQCzaM2axnmmfbDpGVJg6PlvnnTlWbhd72gBDQbEAhklo26t9U6MC3aajAMBJ2bK0vOgO1bf2mo5ijNvl0OLTx2jaxBzTUYC4QLEAhpHdWKXQ3x+SavabjgIAJ7Wj6GKtbC02HcOIvOxkfWTBOKY+AcOIYgEMMzvYK/ulP8t+83lJ/O8FIHqFLKd+N/qzam5PnFELy5JKp+brrNkj5XQw9QkYThQLIEzs/VsVWvlrqb3ZdBQAOKF3x31Cq5tHmo4REf5kty4+p1hjCtJMRwHiEsUCCCO7s1Wh5x+W9mwyHQUAjivo9Ghp/m1q74rvHaImjMnQhWcVyed1mY4CxC2KBRABoc1rZK/7o9TbYzoKABzj7QlXa31jfC5gdrkcWjRvtGaU5JqOAsQ9igUQIXZ9hUIrHuLMCwBRJ+BO0W9zPqWunvgatcjLTtYl545TVjoLtIFIoFgAEWT3BmS//FTfwm47ZDoOAPR7feL1eqUh3XSMYeF0WJo/a6RKp+bL4bBMxwESBsUCMMCu2a/QqmVSNdvSAogO3d50/Tbjk+rpje0XPfJzUrTk7CJlZ/hMRwESDsUCMMQOhWS/vUr2y09zqB6AqPBSyY16sz7FdIxT4nRYOmv2SM09jVEKwBSKBWCY3Vyn0OpHpLJ3TUcBkODak0doqf8qBYOx9dSgIDdFF53FKAVgGsUCiBKh7a/JXvsHqaPFdBQACWxtyS3aXO81HWNAnE5LZ88q1NypebIsRikA0ygWQBSxO9tkr/+j7Pc2mI4CIEG1pI7SsqRLFQpF99ODwhF+XXhWETs+AVGEYgFEIfvAdoX+8Tupqdp0FAAJ6PmS27St3mk6xnH5vC6dO3eUpk7IZpQCiDIUCyBK2b0B2a/+TfbGlVIovvaWBxDdGjMn6BHnhYq2ZwjTJubo3LmjOD0biFIUCyDK2bWH+ramrdprOgqABLJi4r9qV0N0jAjkZPp0wZljNXKE33QUAB+CYgHEANsOyd60RvaGP0s9XabjAEgANbnT9FjoXKMZ3C6H5s8cqTmn5bGFLBADKBZADLFbGxR6Ybm0Z5PpKAASwNMTPquyRjNPEyaMydDi08coNcVj5OMDGDyKBRCD7J0bFVr/hNRSZzoKgDhWXjBPT/aURvRjZqUnaWHpaBWPSo/oxwUwdBQLIEbZvQHZm1+Q/drfpa5203EAxKknx9+h8qbwbyCR5HVp/syRmjkpl2lPQIyiWAAxzu7qkP3GCtlv/UMKBkzHARBnygrP1dNd08L2+A6HpVmTcnXmzJFKYrcnIKZRLIA4Ybc2yH75KdlbX1bU7REJIKY9VvwfqmnpHfbHHT86QwvmjlImh9wBcYFiAcQZu+6QQi8+Ke3bYjoKgDixa+wFWtE2cdgeLyfTp0XzRmtMQdqwPSYA8ygWQJyyD25XaP2TUvU+01EAxDjbsvT7MXeooW1ooxYpPrfmzxqp6RNzODUbiEMUCyCO2bYte+dG2S/9WWquMR0HQAzbVvxRPd8y5pTe1+d1ad70fM2aPEIup2OYkwGIFhQLIAHYwV7Z76yT/erfpM5W03EAxKCQw6Vlhf+qlo6B7xDlcTs1d2qe5p6WJ4/bGcZ0AKIBxQJIIHZPp+w3Vsp+83mpt8d0HAAx5p3xl2tNU/5J7+dyOTRr8gjNm5YvHzs9AQmDYgEkILutSfYrf5X97ouSHTIdB0CM6HUmaWnereroPv6ohdNhadrEHJ05c6RSfO4IpwNgGsUCSGB2Q6XsV/4me+cbFAwAA/LmhGv1UmPWUbc5HJamjMvW/JkFSvN7DSUDYBrFAoDs5jrZbz0v+92XpEC36TgAoliPx6/fZt+k7p5Q/wjFvGn5FAoAFAsA/2R3tsnevEb2phekjhbTcQBEqY2TblBn7gSVTsuXP9ljOg6AKEGxAHAMuzcg+70Nst98Tmpim1oAhyX5Zc06T9bs82T5Uk2nARBlKBYATsi2Q9KutxTa+JxUtdd0HACmpGXLmrtE1rRzZLmZ8gTg+CgWAAbEPrSjr2DsfUcSPzaAhJAzSta8S2RNmifLwTkUAD4cxQLAoNj1FbI3rpS9/TUp2Gs6DoBwGD1ZjtKLZRVPN50EQAyhWAA4JXZbo+y3/iH7nXVST6fpOACGyuXpG5mYuVhWfrHpNABiEMUCwJDY3Z2y31kn++1/SG2NpuMAGKzc0bKmL5A15UxZ3mTTaQDEMIoFgGFhB3ulPZsUeu8lqew9DtwDopnbK2vS6X2FomCc6TQA4gTFAsCws9saZW99RfZ7L0mN1abjAHhf3lhZ0xfKmny6LI/PdBoAcYZiASCs7PJdfWdi7HxD6ukyHQdIPB6frMln9I1O5I01nQZAHKNYAIgIO9Ate+dG2e9tkA7tFFvWAmGWP66vTEw+nbMnAEQExQJAxNlNtbLfe0n21pel1gbTcYD44U3uW4Q9fYGs3NGm0wBIMBQLAMbYdkjav7VvqtTut6VgwHQkIDaNnNBXJkrmyXJ7TKcBkKAoFgCigt3VIXv7q31TparLTMcBopwlFYyTNXGOrAlzZWXkmg4EABQLANHHrjske9ursvdskhoqTccBooPDKRVOlDVxrqwJs2X5M00nAoCjUCwARDW7sVr2nk2y97wtVezhfAwkFqdLGjtV1oQ5ssbPkuXzm04EACdEsQAQM+zONtn73ukbySh7Vwp0m44EDD+3V1bxDGniHFnF0zlvAkDMoFgAiEl2b0A6uF323k2y92yW2hpNRwJOXVJK34jEhDl9IxQut+lEADBoFAsAccGu3t83ZWrvJqnmgOk4wMmlZPStlZg4Rxo1SZbDaToRAAwJxQJA3LFbGw6vy9gkHdohBXtNRwIkp7tvJ6fRk2SNnSoVjJdlWaZTAcCwoVgAiGt2T6dU9q7s/Vtll++SGqrEqd+ICJfncJGYLGtUSd9J2ExxAhDHKBYAEord2SZV7JZdvkt2xe6+MzMY0cBwcHn6DqobPUnWqElSfrEsp8t0KgCIGIoFgIRm9wak6rJ/Fo2K3VJXu+lYiAVu79FFIq+IIgEgoVEsAOAItm1L9RV9JaN8l+yKXVJznelYiAaeJGnkRFmjSmSNnizljWXBNQAcgWIBACdhtzVJFbtkl+/uKxo1BzmoL955kqTsQlk5o6TcUbLyi6URY2U5HKaTAUDUolgAwCDZPV1SzX7Z9ZV9oxsNFVJ9hdTebDoaBstySJl5fQUip1BW7mgpp1BKy2HHJgAYJIoFAAwTu7ujr2jUV0oN//xbLQ1iJ6ookJzWN/qQM0rKOfx39kh2agKAYUKxAIAwswPdUkOl7PoKqb7y8AhHpdRcy5SqcHB5+gpDTqGUO7rv75zRspJTTScDgLhGsQAAQ+zegNRY/c+i0VLXt56jrVFqa5J6Ok1HjD4en5SaKfkzZPkzJX+WlJrZ9+/UTMmfKcvnN50SABISxQIAopTd09VXMNoaZb9fNtoaZbc3Sx2tUmdr399d7YqLqVZJKdLhgmAdLgzyZ8o6/LdSM2V5fKZTAgBOgGIBADHODoWkrrb+smG/Xzo6W6XeXikY6DsE8Ig/djAgBYNHXDvi36Hew+93+N/vv18/S3K5Jben7ywH1+G/+//tkeX29l13ef95vyPuax157XChsNweY19DAMDQUSwAAANiB3ulUFByedgxCQBwDIoFAAAAgCHjpB8AAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAAADBkFAsAAAAAQ0axAAAA+P/br2MBAAAAgEH+1oPYWxYBm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAm1gAAACbWAAAAJtYAAAAW4Wgb4adIsmGAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bmi_log_count = weight_log_info['bmi_log'].value_counts()\n",
    "\n",
    "plt.figure(figsize = (10, 10))\n",
    "plt.pie(bmi_log_count, labels = None, autopct = '%1.1f%%', textprops={'color': 'white'})\n",
    "plt.title('BMI Distribution')\n",
    "plt.legend(labels = bmi_log_count.index)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fee44be-3437-45ae-8c2c-c810a5e46f8d",
   "metadata": {},
   "source": [
    "According to the graph, 47.8% of users are overweight, 17.9% are obese, and 34.3% are normal weight."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffe58dd3-4d34-4b6c-9265-f83f7883b6c5",
   "metadata": {},
   "source": [
    "#### 6.0 Weight Vs Total Steps\n",
    "Let's take a closer look at weight and total steps to see if there is any correlation between the two."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "88642d20-5af1-4529-9062-56666595c3fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2QAAANXCAYAAABaBpzLAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAACwLklEQVR4nOzdeXxU1f3/8fedJJONZLIHEiJLEgkogoAirthGsWKtVYprxaVqLVoF69ZaW7toq9Vqq6347a+iVauIS1sXbEBBVBAJ4IIhhrAYgyGJkElYkslk7u8PzJSQbSa5MzfL6/l45KFz58w5Z4bA3M89534+hmmapgAAAAAAYeewewIAAAAAMFgRkAEAAACATQjIAAAAAMAmBGQAAAAAYBMCMgAAAACwCQEZAAAAANiEgAwAAAAAbEJABgAAAAA2ISADAAAAAJsQkAFAP7N8+XIZhqHly5fbPZV+Z9u2bTIMQ3/4wx/snsqAM336dE2fPr3Hrz3yyCOtnZCkhQsXyjAMbdu2zfK+AcAqBGQAEADDMAL6CSRIuvvuu/Xyyy+HfM6S9PHHH2vWrFkaMWKEYmJilJ2drdNOO01//vOfbZtTsFoD0EB++ot169bJMAzdcccdnbYpKyuTYRiaP39+j8e59957ZRiG1q9f3+a4aZpKTk6WYRjaunVrm+caGxsVHR2tiy66qMfjhsqOHTv0y1/+Uhs2bLBtDoZh6Lrrrmt3/O6775ZhGLriiivk8/lsmBmA/irS7gkAQH/wj3/8o83jJ598UkVFRe2Ojx07ttu+7r77bs2aNUvnnHOOlVNs57333tOpp56qww47TFdddZWGDh2qiooKrV69Wg899JCuv/76sM+pJ8aOHdvuc7799ts1ZMgQ/exnP7NpVr0zadIkFRQU6J///Kd+85vfdNjmmWeekSRdcsklPR7nxBNPlCS98847Ovroo/3HN27cqLq6OkVGRurdd9/VqFGj/M998MEH8ng8/tcG6r///W+P5xmoHTt26K677tLIkSM1ceLEbtt///vf1wUXXKDo6OiQzut3v/udfvazn2nOnDn629/+JoeD690AAkdABgABOPSkePXq1SoqKurVyXKo/fa3v5XL5dIHH3ygpKSkNs9VV1fbM6keyMzMbPc5/+53v1NaWlqf/vy7c/HFF+vnP/+5Vq9ereOOO67d8//85z9VUFCgSZMm9XiMKVOmKCYmRu+8806bAPzdd99VamqqpkyZonfeeafN5/jOO+9IUtABmdPp7PE8QyUiIkIREREhHeO+++7T7bffrksvvVR///vfCcYABI1/NQDAInv37tVNN92knJwcRUdHa8yYMfrDH/4g0zT9bQzD0N69e/XEE0/4t9lddtllkqTt27frRz/6kcaMGaPY2Filpqbqe9/7Xo/vfykvL9cRRxzRLhiTpIyMjIDmJEmVlZW64oorlJmZqejoaB1xxBH6+9//3qa/1m2Fzz33nH76059q6NChio+P19lnn62Kioo2bcvKynTeeedp6NChiomJ0fDhw3XBBRfI7Xb36H1Kksfj0Z133qnJkyfL5XIpPj5eJ510kt56661uX2uapq6++mo5nU69+OKL/uNPPfWUJk+erNjYWKWkpOiCCy5o915a73369NNPdeqppyouLk7Z2dm69957ux334osvlvS/lbCDFRcXq7S01N9GkqqqqnT55Zdr+PDhio6O1rBhw/Sd73yny98Pp9OpY445Ru+++26b4++++66mTZumE044ocPnkpKS/Pd0+Xw+PfjggzriiCMUExOjzMxMXXPNNdq9e3e7z+LQe8i2b9+us88+W/Hx8crIyNC8efP0xhtvdLq9t6vPcfny5TrmmGMkSZdffrn/d3XhwoWdvv+O7iEbOXKkzjrrLL3zzjs69thjFRMTo9GjR+vJJ5/stJ/OPPDAA7rlllt0ySWX6PHHH28XjAX7/gEMTqyQAYAFTNPU2WefrbfeektXXnmlJk6cqDfeeEM333yzKisr9cc//lHSga2PP/jBD3Tsscfq6quvliTl5uZKOrBV7L333tMFF1yg4cOHa9u2bfrrX/+q6dOn69NPP1VcXFxQcxoxYoRWrVqlTz75pMuECV3NaefOnTruuOP8982kp6fr9ddf15VXXqn6+nrdeOONbfr67W9/K8MwdOutt6q6uloPPvigCgsLtWHDBsXGxsrj8WjGjBlqamrS9ddfr6FDh6qyslKvvPKK6urq5HK5gnqPrerr6/W3v/1NF154oa666io1NDTo//2//6cZM2ZozZo1nW5va2lp0RVXXKHnnntOL730kmbOnOl/Hz//+c81e/Zs/eAHP1BNTY3+/Oc/6+STT9b69evbBLm7d+/WGWecoXPPPVezZ8/W4sWLdeutt2r8+PH61re+1emcR40apeOPP16LFi3SH//4xzYrOa1B2sH3cZ133nnauHGjrr/+eo0cOVLV1dUqKirS559/rpEjR3Y6zoknnqiVK1dq27Zt/nbvvvuu/8/8F7/4herq6pSUlCTTNPXee+9p2rRp/uDimmuu0cKFC3X55Zfrxz/+sbZu3aqHH35Y69ev17vvvquoqKgOx927d6++8Y1v6Msvv9QNN9ygoUOH6plnnuk0SO7ucxw7dqx+9atf6c4779TVV1+tk046SZJ0/PHHd/reO7N582bNmjVLV155pebMmaO///3vuuyyyzR58mQdccQRAfXx0EMP6aabbtJFF12khQsXtgvGgn3/AAYxEwAQtLlz55oH/xP68ssvm5LM3/zmN23azZo1yzQMw9y8ebP/WHx8vDlnzpx2fe7bt6/dsVWrVpmSzCeffNJ/7K233jIlmW+99VaXc/zvf/9rRkREmBEREea0adPMW265xXzjjTdMj8fTrm1nc7ryyivNYcOGmbW1tW2OX3DBBabL5fLPuXVO2dnZZn19vb/dokWLTEnmQw89ZJqmaa5fv96UZD7//PNdzr07RxxxhHnKKaf4H3u9XrOpqalNm927d5uZmZnmFVdc4T+2detWU5J53333mc3Nzeb5559vxsbGmm+88Ya/zbZt28yIiAjzt7/9bZv+Pv74YzMyMrLN8VNOOaXdn09TU5M5dOhQ87zzzuv2fTzyyCOmpDbjt7S0mNnZ2ea0adPavJfWeQfr1VdfNSWZ//jHP0zTNM0vv/zSlGSuWLHCbGhoMCMiIsxXX33VNE3T/OSTT0xJ/ve4cuVKU5L59NNPt+lzyZIl7Y6fcsopbf5M7r//flOS+fLLL/uP7d+/3ywoKGj3+xvo5/jBBx+YkszHH388oPf++OOPm5LMrVu3+o+NGDHClGS+/fbb/mPV1dVmdHS0edNNN3XbpyR/HxdeeKHp9Xo7bBfM+wcwuLFlEQAs8NprrykiIkI//vGP2xy/6aabZJqmXn/99W77iI2N9f9/c3OzvvrqK+Xl5SkpKUnr1q0Lek6nnXaaVq1apbPPPlsffvih7r33Xs2YMUPZ2dn697//3e3rTdPUCy+8oG9/+9syTVO1tbX+nxkzZsjtdreb16WXXqqEhAT/41mzZmnYsGF67bXXJMm/AvbGG29o3759Qb+nzkRERPjvYfL5fNq1a5e8Xq+mTJnS4Wfn8Xj0ve99T6+88opee+01nX766f7nXnzxRfl8Ps2ePbvNex46dKjy8/PbrXAMGTKkzT1YTqdTxx57rLZs2dLtvM8//3xFRUW12ba4YsUKVVZWttmuGBsbK6fTqeXLl7fbKtid448/Xg6Hw39vWOuq1jHHHKMhQ4boqKOO8m9bbP1v6/1jzz//vFwul0477bQ2n8XkyZM1ZMiQLld7lixZouzsbJ199tn+YzExMbrqqqs6bN+bzzFY48aN86+wSVJ6errGjBkT8Fg7d+6UdGCVs7N71IJ9/wAGLwIyALDA9u3blZWV1SYYkf6XdXH79u3d9rF//37deeed/nvQ0tLSlJ6errq6uh7fX3XMMcfoxRdf1O7du7VmzRrdfvvtamho0KxZs/Tpp592+dqamhrV1dXpscceU3p6epufyy+/XFL75CD5+fltHhuGoby8PP89PKNGjdL8+fP1t7/9TWlpaZoxY4YeeeSRXt0/1uqJJ57QUUcdpZiYGKWmpio9PV2vvvpqh33fc889evnll7V48eJ29z2VlZXJNE3l5+e3e98lJSXt3vPw4cPbpdxPTk4OKHBKTU3VjBkz9NJLL6mxsVHSge2KkZGRmj17tr9ddHS0fv/73+v1119XZmamTj75ZN17772qqqrqdoykpCQdccQRbYKuo48+2n8B4Pjjj2/zXGsg1PpZuN1uZWRktPss9uzZ02VymO3btys3N7fdZ5OXl9dh+958jsE67LDD2h0LZqw5c+bo29/+tu6++27/duRDBfv+AQxe3EMGAH3E9ddfr8cff1w33nijpk2bJpfLJcMwdMEFF/S6rlFrcodjjjlGhx9+uC6//HI9//zz+sUvftHpa1rHvOSSSzRnzpwO2xx11FFBz+X+++/XZZddpn/961/673//qx//+Me65557tHr1ag0fPjzo/qQDCTguu+wynXPOObr55puVkZGhiIgI3XPPPSovL2/XfsaMGVqyZInuvfdeTZ8+XTExMf7nfD6fDMPQ66+/3uHqx5AhQ9o87myFxDwomUtXLrnkEr3yyit65ZVXdPbZZ+uFF17Q6aefrvT09DbtbrzxRn3729/Wyy+/rDfeeEM///nPdc899+jNN99sk9K+IyeeeKIeffRR1dXV6d13321z39Xxxx+vv//972pubtY777yjyZMn+z8Pn8+njIwMPf300x32e+gce6O3n2M4x4qMjNSiRYt0xhln6KabblJSUpL/IgUABIuADAAsMGLECC1dulQNDQ1tVsk2bdrkf75VZwWMFy9erDlz5uj+++/3H2tsbFRdXZ2lc50yZYok6csvv+xyTunp6UpISFBLS4sKCwsD6rusrKzNY9M0tXnz5naB2/jx4zV+/Hjdcccdeu+993TCCSfo0Ucf7bQmV3cWL16s0aNH68UXX2zzXjoLOI877jj98Ic/1FlnnaXvfe97eumllxQZeeArMTc3V6ZpatSoUTr88MN7NJ9gnH322UpISNAzzzyjqKgo7d69u812xYPl5ubqpptu0k033aSysjJNnDhR999/v5566qkuxzjxxBP117/+VUuXLtX69et18803+587/vjjtX//fr366qvasmWLzjvvvDbjLV26VCeccEKbLbWBGDFihD799FOZptnmz2Tz5s1B9XOwvlT8OyYmRv/+97916qmn6qqrrlJSUpK++93v+p8PxfsHMDCxZREALHDmmWeqpaVFDz/8cJvjf/zjH2UYRptse/Hx8R0GWREREe2u0P/5z39WS0tLj+b01ltvdXjFv/V+rjFjxnQ5p4iICJ133nl64YUX9Mknn7Trp6ampt2xJ598Ug0NDf7Hixcv1pdfful///X19fJ6vW1eM378eDkcDjU1NQX+5g7RuuJx8Pt9//33tWrVqk5fU1hYqGeffVZLlizR97//ff+K4LnnnquIiAjddddd7T4/0zT11Vdf9XieHYmNjdV3v/tdvfbaa/rrX/+q+Ph4fec732nTZt++ff4tja1yc3OVkJAQ0OfWek/YAw88oObm5jYrZCNHjtSwYcP8KeYPrj82e/ZstbS06Ne//nW7Pr1eb5cXC2bMmKHKyso29ys2Njbq//7v/7qdb2fi4+MlyfKLFD2VmJioJUuWKC8vTxdeeKGWLVvmfy4U7x/AwMQKGQBY4Nvf/rZOPfVU/exnP9O2bds0YcIE/fe//9W//vUv3Xjjjf408pI0efJkLV26VA888ICysrI0atQoTZ06VWeddZb+8Y9/yOVyady4cVq1apWWLl2q1NTUHs3p+uuv1759+/Td735XBQUF8ng8eu+99/Tcc89p5MiRbbZYdTan3/3ud3rrrbc0depUXXXVVRo3bpx27dqldevWaenSpdq1a1ebMVNSUnTiiSfq8ssv186dO/Xggw8qLy/Pn8jgzTff1HXXXafvfe97Ovzww+X1evWPf/zDH/z11FlnnaUXX3xR3/3udzVz5kxt3bpVjz76qMaNG6c9e/Z0+rpzzjlHjz/+uC699FIlJiZqwYIFys3N1W9+8xvdfvvt2rZtm8455xwlJCRo69ateumll3T11VfrJz/5SY/n2pFLLrlETz75pN544w1dfPHF/sCj1WeffaZvfvObmj17tsaNG6fIyEi99NJL2rlzpy644IJu+z/ssMOUk5OjVatWaeTIkcrKymrz/PHHH68XXnhBhmHohBNO8B8/5ZRTdM011+iee+7Rhg0bdPrppysqKkplZWV6/vnn9dBDD2nWrFkdjnnNNdfo4Ycf1oUXXqgbbrhBw4YN09NPP+3fDtmT1a7c3FwlJSXp0UcfVUJCguLj4zV16lSNGjUq6L6skp6erqKiIp1wwgk655xztGzZMh177LEhef8ABqjwJ3YEgP7v0LT3pmmaDQ0N5rx588ysrCwzKirKzM/PN++77z7T5/O1abdp0ybz5JNPNmNjY01J/nTzu3fvNi+//HIzLS3NHDJkiDljxgxz06ZN5ogRI9qkpA807f3rr79uXnHFFWZBQYE5ZMgQ0+l0mnl5eeb1119v7ty5M6A5maZp7ty505w7d66Zk5NjRkVFmUOHDjW/+c1vmo899li7Of3zn/80b7/9djMjI8OMjY01Z86caW7fvt3fbsuWLeYVV1xh5ubmmjExMWZKSop56qmnmkuXLg3gU/+fQ9Pe+3w+8+677zZHjBhhRkdHm0cffbT5yiuvmHPmzDFHjBjhb3dw2vuD/eUvfzElmT/5yU/8x1544QXzxBNPNOPj4834+HizoKDAnDt3rllaWupvc8opp5hHHHFEu/kdOm53vF6vOWzYMFOS+dprr7V7vra21pw7d65ZUFBgxsfHmy6Xy5w6daq5aNGigMe48MILTUnmRRdd1O65Bx54wJRkjh07tsPXPvbYY+bkyZPN2NhYMyEhwRw/frx5yy23mDt27PC3OTTtvWke+POeOXOmGRsba6anp5s33XST+cILL5iSzNWrV7d5baCf47/+9S9z3LhxZmRkZLcp8DtLez9z5sx2bTuaf0ckmXPnzm13vKSkxExLSzNTUlLMTz75xDTNwN8/gMHNMM0Q3C0LABhUli9frlNPPVXPP/98pysmgCQ9+OCDmjdvnr744gtlZ2fbPZ2wG+zvH0B73EMGAABCYv/+/W0eNzY2asGCBcrPzx8Uwchgf/8AAsM9ZAAAICTOPfdcHXbYYZo4caLcbreeeuopbdq0qdM0+gPNYH//AAJDQAYAAEJixowZ+tvf/qann35aLS0tGjdunJ599lmdf/75dk8tLAb7+wcQGO4hAwAAAACbcA8ZAAAAANiEgAwAAAAAbMI9ZBbx+XzasWOHEhISKPYIAAAADGKmaaqhoUFZWVlyOLpeAyMgs8iOHTuUk5Nj9zQAAAAA9BEVFRUaPnx4l20IyCySkJAg6cCHnpiYaPNsAAAAANilvr5eOTk5/hihKwRkFmndppiYmEhABgAAACCgW5lI6gEAAAAANiEgAwAAAACbEJABAAAAgE0IyAAAAADAJgRkAAAAAGATAjIAAAAAsAkBGQAAAADYhIAMAAAAAGxCQAYAAAAANiEgAwAAAACbEJABAAAAgE0IyAAAAADAJrYGZH/961911FFHKTExUYmJiZo2bZpef/11//ONjY2aO3euUlNTNWTIEJ133nnauXNnmz4+//xzzZw5U3FxccrIyNDNN98sr9fbps3y5cs1adIkRUdHKy8vTwsXLmw3l0ceeUQjR45UTEyMpk6dqjVr1oTkPQMAAABAK1sDsuHDh+t3v/udiouLtXbtWn3jG9/Qd77zHW3cuFGSNG/ePP3nP//R888/rxUrVmjHjh0699xz/a9vaWnRzJkz5fF49N577+mJJ57QwoULdeedd/rbbN26VTNnztSpp56qDRs26MYbb9QPfvADvfHGG/42zz33nObPn69f/OIXWrdunSZMmKAZM2aouro6fB8GAAAAgEHHME3TtHsSB0tJSdF9992nWbNmKT09Xc8884xmzZolSdq0aZPGjh2rVatW6bjjjtPrr7+us846Szt27FBmZqYk6dFHH9Wtt96qmpoaOZ1O3XrrrXr11Vf1ySef+Me44IILVFdXpyVLlkiSpk6dqmOOOUYPP/ywJMnn8yknJ0fXX3+9brvttoDmXV9fL5fLJbfbrcTERCs/EgAAAAD9SDCxQZ+5h6ylpUXPPvus9u7dq2nTpqm4uFjNzc0qLCz0tykoKNBhhx2mVatWSZJWrVql8ePH+4MxSZoxY4bq6+v9q2yrVq1q00drm9Y+PB6PiouL27RxOBwqLCz0t+lIU1OT6uvr2/wAAAAAQDBsD8g+/vhjDRkyRNHR0frhD3+ol156SePGjVNVVZWcTqeSkpLatM/MzFRVVZUkqaqqqk0w1vp863Ndtamvr9f+/ftVW1urlpaWDtu09tGRe+65Ry6Xy/+Tk5PTo/cPAAAAYPCyPSAbM2aMNmzYoPfff1/XXnut5syZo08//dTuaXXr9ttvl9vt9v9UVFTYPSUAAAAA/Uyk3RNwOp3Ky8uTJE2ePFkffPCBHnroIZ1//vnyeDyqq6trs0q2c+dODR06VJI0dOjQdtkQW7MwHtzm0MyMO3fuVGJiomJjYxUREaGIiIgO27T20ZHo6GhFR0f37E0DAAAAgPrACtmhfD6fmpqaNHnyZEVFRWnZsmX+50pLS/X5559r2rRpkqRp06bp448/bpMNsaioSImJiRo3bpy/zcF9tLZp7cPpdGry5Mlt2vh8Pi1btszfBgAAAABCwdYVsttvv13f+ta3dNhhh6mhoUHPPPOMli9frjfeeEMul0tXXnml5s+fr5SUFCUmJur666/XtGnTdNxxx0mSTj/9dI0bN07f//73de+996qqqkp33HGH5s6d61+9+uEPf6iHH35Yt9xyi6644gq9+eabWrRokV599VX/PObPn685c+ZoypQpOvbYY/Xggw9q7969uvzyy235XAAAAAAMDrYGZNXV1br00kv15ZdfyuVy6aijjtIbb7yh0047TZL0xz/+UQ6HQ+edd56ampo0Y8YM/eUvf/G/PiIiQq+88oquvfZaTZs2TfHx8ZozZ45+9atf+duMGjVKr776qubNm6eHHnpIw4cP19/+9jfNmDHD3+b8889XTU2N7rzzTlVVVWnixIlasmRJu0QfAAAAAGClPleHrL+iDhkAAAAAqZ/WIQMAAACAwYaADAAAAABsQkAGAAAAADYhIAMAAAAAm9heGBoA0Lf4TJ/K3DVye/YrMSpaXtOnNdXb1djSrPzEDE3LHKmFpatV3lArQ1JKVJzqvY1q8HpkSBoe69LE1By5WxqVHpOg6Vl5inTwdQMAQEfIsmgRsiwCGAjW1VZoUXmxdnv2WdanIUOF2QWaNfpoy/oEAKAvCyY24JIlAEDSgWBsQclKy/s1ZaqoskSSCMoAADgE95ABAOQzfVpUXhzSMZZWbpLX5w3pGAAA9DcEZAAAlblrLN2m2BFTppbv2BzSMQAA6G8IyAAAcnv2h2WcmsaGsIwDAEB/QUAGAJDLGRuWcdJjEsIyDgAA/QUBGQBA+a50JTvjQjqGIUPTs/JCOgYAAP0NARkAQA7Dodm5k0M6RmF2AfXIAAA4BAEZAECSNCktR9eMPcnylTJDhk7LHkvKewAAOsClSgCA36S0HE1MzVaZu0Zuz34lRkXLa/q0pnq7GlualZ+YoWmZI7WwdLXKG2plSEqJilO9t1ENXo8MScNjXZqYmiN3S6PSYxI0PSuPlTEAADphmKZp2j2JgSCYatwAAAAABq5gYgO2LAIAAACATQjIAAAAAMAmBGQAAAAAYBMCMgAAAACwCQEZAAAAANiEgAwAAAAAbEJABgAAAAA2ISADAAAAAJsQkAEAAACATQjIAAAAAMAmBGQAAAAAYBMCMgAAAACwCQEZAAAAANiEgAwAAAAAbEJABgAAAAA2ISADAAAAAJsQkAEAAACATQjIAAAAAMAmBGQAAAAAYBMCMgAAAACwCQEZAAAAANiEgAwAAAAAbEJABgAAAAA2ISADAAAAAJsQkAEAAACATSLtngAAoG/xmT6VuWvk9uxXYlS0vKZPa6q3q7GlWfmJGZqWOVILS1ervKFWhqSUqDjVexvV4PXIkDQ81qWJqTlytzQqPSZB07PyFOng6wYAgI4Ypmmadk9iIKivr5fL5ZLb7VZiYqLd0wGAHllXW6FF5cXa7dlnWZ+GDBVmF2jW6KMt6xMAgL4smNiAS5YAAEkHgrEFJSst79eUqaLKEkkiKAMA4BDcQwYAkM/0aVF5cUjHWFq5SV6fN6RjAADQ3xCQAQBU5q6xdJtiR0yZWr5jc0jHAACgvyEgAwDI7dkflnFqGhvCMg4AAP0FARkAQC5nbFjGSY9JCMs4AAD0FwRkAADlu9KV7IwL6RiGDE3PygvpGAAA9DcEZAAAOQyHZudODukYhdkF1CMDAOAQBGQAAEnSpLQcXTP2JMtXygwZOi17LCnvAQDoAJcqAQB+k9JyNDE1W2XuGrk9+5UYFS2v6dOa6u1qbGlWfmKGpmWO1MLS1SpvqJUhKSUqTvXeRjV4PTIkDY91aWJqjtwtjUqPSdD0rDxWxgAA6IRhmqZp9yQGgmCqcQMAAAAYuIKJDdiyCAAAAAA2ISADAAAAAJsQkAEAAACATQjIAAAAAMAmBGQAAAAAYBMCMgAAAACwCQEZAAAAANiEgAwAAAAAbEJABgAAAAA2ISADAAAAAJsQkAEAAACATQjIAAAAAMAmBGQAAAAAYBMCMgAAAACwCQEZAAAAANiEgAwAAAAAbEJABgAAAAA2ISADAAAAAJsQkAEAAACATQjIAAAAAMAmBGQAAAAAYBMCMgAAAACwCQEZAAAAANiEgAwAAAAAbEJABgAAAAA2ISADAAAAAJsQkAEAAACATQjIAAAAAMAmBGQAAAAAYBMCMgAAAACwCQEZAAAAANiEgAwAAAAAbEJABgAAAAA2ISADAAAAAJsQkAEAAACATQjIAAAAAMAmBGQAAAAAYBMCMgAAAACwCQEZAAAAANiEgAwAAAAAbEJABgAAAAA2ISADAAAAAJsQkAEAAACATQjIAAAAAMAmBGQAAAAAYBMCMgAAAACwCQEZAAAAANiEgAwAAAAAbEJABgAAAAA2ISADAAAAAJsQkAEAAACATQjIAAAAAMAmBGQAAAAAYBMCMgAAAACwCQEZAAAAANjE1oDsnnvu0THHHKOEhARlZGTonHPOUWlpaZs206dPl2EYbX5++MMftmnz+eefa+bMmYqLi1NGRoZuvvlmeb3eNm2WL1+uSZMmKTo6Wnl5eVq4cGG7+TzyyCMaOXKkYmJiNHXqVK1Zs8by9wwAAAAArWwNyFasWKG5c+dq9erVKioqUnNzs04//XTt3bu3TburrrpKX375pf/n3nvv9T/X0tKimTNnyuPx6L333tMTTzyhhQsX6s477/S32bp1q2bOnKlTTz1VGzZs0I033qgf/OAHeuONN/xtnnvuOc2fP1+/+MUvtG7dOk2YMEEzZsxQdXV16D8IAAAAAIOSYZqmafckWtXU1CgjI0MrVqzQySefLOnACtnEiRP14IMPdvia119/XWeddZZ27NihzMxMSdKjjz6qW2+9VTU1NXI6nbr11lv16quv6pNPPvG/7oILLlBdXZ2WLFkiSZo6daqOOeYYPfzww5Ikn8+nnJwcXX/99brtttu6nXt9fb1cLpfcbrcSExN78zEAAAAA6MeCiQ361D1kbrdbkpSSktLm+NNPP620tDQdeeSRuv3227Vv3z7/c6tWrdL48eP9wZgkzZgxQ/X19dq4caO/TWFhYZs+Z8yYoVWrVkmSPB6PiouL27RxOBwqLCz0tzlUU1OT6uvr2/wAAAAAQDAi7Z5AK5/PpxtvvFEnnHCCjjzySP/xiy66SCNGjFBWVpY++ugj3XrrrSotLdWLL74oSaqqqmoTjEnyP66qquqyTX19vfbv36/du3erpaWlwzabNm3qcL733HOP7rrrrt69aQAAAACDWp8JyObOnatPPvlE77zzTpvjV199tf//x48fr2HDhumb3/ymysvLlZubG+5p+t1+++2aP3++/3F9fb1ycnJsmw8AAACA/qdPBGTXXXedXnnlFb399tsaPnx4l22nTp0qSdq8ebNyc3M1dOjQdtkQd+7cKUkaOnSo/7+txw5uk5iYqNjYWEVERCgiIqLDNq19HCo6OlrR0dGBv0kAAAAAOISt95CZpqnrrrtOL730kt58802NGjWq29ds2LBBkjRs2DBJ0rRp0/Txxx+3yYZYVFSkxMREjRs3zt9m2bJlbfopKirStGnTJElOp1OTJ09u08bn82nZsmX+NgAAAABgNVtXyObOnatnnnlG//rXv5SQkOC/58vlcik2Nlbl5eV65plndOaZZyo1NVUfffSR5s2bp5NPPllHHXWUJOn000/XuHHj9P3vf1/33nuvqqqqdMcdd2ju3Ln+Fawf/vCHevjhh3XLLbfoiiuu0JtvvqlFixbp1Vdf9c9l/vz5mjNnjqZMmaJjjz1WDz74oPbu3avLL788/B8MAAAAgEHB1rT3hmF0ePzxxx/XZZddpoqKCl1yySX65JNPtHfvXuXk5Oi73/2u7rjjjjbpI7dv365rr71Wy5cvV3x8vObMmaPf/e53ioz8X7y5fPlyzZs3T59++qmGDx+un//857rsssvajPvwww/rvvvuU1VVlSZOnKg//elP/i2S3SHtPQAAAAApuNigT9Uh688IyAAAAABI/bgOGQAAAAAMJgRkAAAAAGATAjIAAAAAsAkBGQAAAADYhIAMAAAAAGxCQAYAAAAANiEgAwAAAACbEJABAAAAgE0IyAAAAADAJgRkAAAAAGATAjIAAAAAsAkBGQAAAADYhIAMAAAAAGxCQAYAAAAANiEgAwAAAACbEJABAAAAgE0IyAAAAADAJgRkAAAAAGATAjIAAAAAsAkBGQAAAADYhIAMAAAAAGwSafcEAAB9i8/0qcxdI7dnvxKjouU1fVpTvV2NLc3KT8zQtMyRWli6WuUNtTIkpUTFqd7bqAavR4ak4bEuTUzNkbulUekxCZqeladIB183AAB0xDBN07R7EgNBfX29XC6X3G63EhMT7Z4OAPTIutoKLSov1m7PPsv6NGSoMLtAs0YfbVmfAAD0ZcHEBlyyBABIOhCMLShZaXm/pkwVVZZIEkEZAACH4B4yAIB8pk+LyotDOsbSyk3y+rwhHQMAgP6GgAwAoDJ3jaXbFDtiytTyHZtDOgYAAP0NARkAQG7P/rCMU9PYEJZxAADoLwjIAAByOWPDMk56TEJYxgEAoL8gIAMAKN+VrmRnXEjHMGRoelZeSMcAAKC/ISADAMhhODQ7d3JIxyjMLqAeGQAAhyAgAwBIkial5eiasSdZvlJmyNBp2WNJeQ8AQAe4VAkA8JuUlqOjUoZp+Y7NqmlsUGp0nDwtLXqvequafS0aEZ+sWaMm6fcb3tA+s+MU9g5J+XGpapBX6dFDdEXBcYqJjA7vGwEAoJ8wTNM07Z7EQBBMNW4A6KvW1VZoUXmxpSnwDRkqzC5ghQwAMGgEExuwQgYAkHQgGFtQstLyfk2ZKqoskSSCMgAADsE9ZAAA+UyfFpUXh3SMpZWb5PV1vM0RAIDBioAMAKAyd42l2xQ7YsrU8h2bQzoGAAD9DQEZAEBuz/6wjFPT2BCWcQAA6C8IyAAAcjljwzJOekxCWMYBAKC/ICADACjflW55/bFDGTI0PSsvpGMAANDfEJABAOQwHJqdOzmkYxRmFyjSQXJfAAAORkAGAJB0oCj0NWNPsnylzJCh07LHkvIeAIAOcKkSAOA3KS1HE1OzVeaukduzX4lR0fKaPq2p3q7GlmblJ2ZoWuZILSxdrfKGWhmSUqLiVO9tVIPXI0PS8FiXJqbmyN3SqPSYBE3PymNlDACAThimaZp2T2IgCKYaNwAAAICBK5jYgC2LAAAAAGATAjIAAAAAsAkBGQAAAADYhIAMAAAAAGxCQAYAAAAANiEgAwAAAACbEJABAAAAgE0IyAAAAADAJgRkAAAAAGATAjIAAAAAsAkBGQAAAADYhIAMAAAAAGxCQAYAAAAANiEgAwAAAACbEJABAAAAgE0IyAAAAADAJgRkAAAAAGATAjIAAAAAsAkBGQAAAADYhIAMAAAAAGxCQAYAAAAANiEgAwAAAACbEJABAAAAgE0i7Z4AAKBv8Zk+lblr5PbsV2JUtLymT2uqt6uxpVn5iRmaljlSC0tXq7yhVoaklKg41Xsb1eD1yJA0PNaliak5crc0Kj0mQdOz8hTp4OsGAICOGKZpmnZPYiCor6+Xy+WS2+1WYmKi3dMBgB5ZV1uhReXF2u3ZZ1mfhgwVZhdo1uijLesTAIC+LJjYgEuWAABJB4KxBSUrLe/XlKmiyhJJIigDAOAQ3EMGAJDP9GlReXFIx1hauUlenzekYwAA0N8QkAEAVOausXSbYkdMmVq+Y3NIxwAAoL8hIAMAyO3ZH5ZxahobwjIOAAD9BQEZAEAuZ2xYxkmPSQjLOAAA9BcEZAAA5bvSleyMC+kYhgxNz8oL6RgAAPQ3BGQAADkMh2bnTg7pGIXZBdQjAwDgEARkAAAAAGATAjIAAGnvAQCwCQEZAIC09wAA2ISADABA2nsAAGxCQAYAIO09AAA2ISADAJD2HgAAmxCQAQBIew8AgE0IyAAAAADAJgRkAADS3gMAYBMCMgAAae8BALAJARkAgLT3AADYhIAMAEDaewAAbEJABgAg7T0AADYhIAMAkPYeAACbEJABACRJk9JydM3YkyxfKTNk6LTssZo1+mhL+wUAYCDgUiUAwG9SWo4mpmarzF0jt2e/EqOi5TV9WlO9XY0tzcpPzNC0zJFaWLpa5Q21MiSlRMWp3tuoBq9HhqThsS5NTM2Ru6VR6TEJmp6Vx8oYAACdMEzTNO2exEBQX18vl8slt9utxMREu6cDAAAAwCbBxAZsWQQAAAAAmxCQAQAAAIBNCMgAAAAAwCYEZAAAAABgEwIyAAAAALAJARkAAAAA2ISADAAAAABsQkAGAAAAADYhIAMAAAAAmxCQAQAAAIBNIu2eAACgb/GZPpW5a+T27FdiVLS8pk9rqrersaVZ+YkZmpY5UgtLV6u8oVaGpJSoONV7G9Xg9ciQNDzWpYmpOXK3NCo9JkHTs/IU6eDrBgCAjhimaZp2T2IgqK+vl8vlktvtVmJiot3TAYAeWVdboUXlxdrt2WdZn4YMFWYXaNbooy3rEwCAviyY2IBLlgAASQeCsQUlKy3v15SposoSSSIoAwDgENxDBgCQz/RpUXlxSMdYWrlJXp83pGMAANDfEJABAFTmrrF0m2JHTJlavmNzSMcAAKC/YcsiBiVPi0fPlq1VcW2Fmk2ffDJlSjIkRclQVESkHIZDrqgYpUTHKy8pQ9nxLpXX10qSDndlakxShhwG1zQwMLg9+8MyTk1jQ1jGAQCgv7D1bPKee+7RMccco4SEBGVkZOicc85RaWlpmzaNjY2aO3euUlNTNWTIEJ133nnauXNnmzaff/65Zs6cqbi4OGVkZOjmm2+W19t2W8zy5cs1adIkRUdHKy8vTwsXLmw3n0ceeUQjR45UTEyMpk6dqjVr1lj+nmG/Rzau0PXvLda7NdvUaLao5etgTJJMSR6Z2tvSrAZvk77Y79ZHdTv04rYN+vPGFXqtYqNeq9ioBz95Uz9Z/aLW1VbY+VYAy7icsWEZJz0mISzjAADQX9gakK1YsUJz587V6tWrVVRUpObmZp1++unau3evv828efP0n//8R88//7xWrFihHTt26Nxzz/U/39LSopkzZ8rj8ei9997TE088oYULF+rOO+/0t9m6datmzpypU089VRs2bNCNN96oH/zgB3rjjTf8bZ577jnNnz9fv/jFL7Ru3TpNmDBBM2bMUHV1dXg+DITFIxtX6KNdlZb0tdfr0YKSlQRlGBDyXelKdsaFdAxDhqZn5YV0DAAA+ps+lfa+pqZGGRkZWrFihU4++WS53W6lp6frmWee0axZsyRJmzZt0tixY7Vq1Sodd9xxev3113XWWWdpx44dyszMlCQ9+uijuvXWW1VTUyOn06lbb71Vr776qj755BP/WBdccIHq6uq0ZMkSSdLUqVN1zDHH6OGHH5Yk+Xw+5eTk6Prrr9dtt93W7dxJe9/3eVo8uv69xZb3m+SM1T3Hfofti+j3QpVlsdVp2WPJsggAGBSCiQ361Bmk2+2WJKWkpEiSiouL1dzcrMLCQn+bgoICHXbYYVq1apUkadWqVRo/frw/GJOkGTNmqL6+Xhs3bvS3ObiP1jatfXg8HhUXF7dp43A4VFhY6G9zqKamJtXX17f5Qd+2eMuHIem3zrNfZe6akPQNAACAga3PBGQ+n0833nijTjjhBB155JGSpKqqKjmdTiUlJbVpm5mZqaqqKn+bg4Ox1udbn+uqTX19vfbv36/a2lq1tLR02Ka1j0Pdc889crlc/p+cnJyevXGETXUIkwmEKyECECqkvQcAwB59JiCbO3euPvnkEz377LN2TyUgt99+u9xut/+nooL7iPq6jBAmEwhXQgQgVEh7DwCAPfpEQHbdddfplVde0VtvvaXhw4f7jw8dOlQej0d1dXVt2u/cuVNDhw71tzk062Lr4+7aJCYmKjY2VmlpaYqIiOiwTWsfh4qOjlZiYmKbH/Rts0ZPCEm/Sc5Y5bvSQ9I3EC6kvQcAwB62BmSmaeq6667TSy+9pDfffFOjRo1q8/zkyZMVFRWlZcuW+Y+Vlpbq888/17Rp0yRJ06ZN08cff9wmG2JRUZESExM1btw4f5uD+2ht09qH0+nU5MmT27Tx+XxatmyZvw36P2eEU0elZFve7/m5U0jogX6PtPcAANjD1rPIuXPn6qmnntIzzzyjhIQEVVVVqaqqSvv3H7hS63K5dOWVV2r+/Pl66623VFxcrMsvv1zTpk3TcccdJ0k6/fTTNW7cOH3/+9/Xhx9+qDfeeEN33HGH5s6dq+joaEnSD3/4Q23ZskW33HKLNm3apL/85S9atGiR5s2b55/L/Pnz9X//93964oknVFJSomuvvVZ79+7V5ZdfHv4PBiEz94hTLAvK4iOdumbsSZqUxv2D6P9Iew8AgD1sTXtvGEaHxx9//HFddtllkg4Uhr7pppv0z3/+U01NTZoxY4b+8pe/tNlKuH37dl177bVavny54uPjNWfOHP3ud79TZGSkv83y5cs1b948ffrppxo+fLh+/vOf+8do9fDDD+u+++5TVVWVJk6cqD/96U+aOnVqQO+FtPf9i6fFo2fL1qq4tkLNpk++r4tDG5KiZCgqIlIOwyFXVIxSouOVl5Sh7HiXyutrJUmHuzI1JimDlTEMKKS9BwDAGsHEBn2qDll/RkAGYCBYV1uhReXFlib4MGSoMLuAYAwAMGgEExtEdvksAGBQmZSWo4mp2Spz18jt2a/EqGh5TZ/WVG9XY0uz8hMzNC1zpBaWrlZ5Q60MSSlRcar3NqrB65EhaXisSxNTc+RuaVR6TIKmZ+Up0sHXDQAAHWGFzCKskAEAAACQgosNuAEGAAAAAGzCHhIAQBs+08eWRQAAwoQtixZhyyKAgYCkHgAA9B5JPQAAQQtV2ntTpooqSySJoAwAgENwDxkAQD7Tp0XlxSEdY2nlJnl93pCOAQBAf0NABgBQmbvG0m2KHTFlavmOzSEdAwCA/oaADAAgt2d/WMapaWwIyzgAAPQXBGQAALmcsWEZJz0mISzjAADQXxCQAQCU70pXsjMupGMYMjQ9Ky+kYwAA0N8QkAEA5DAcmp07OaRjFGYXUI8MAIBDEJABACRJk9JydM3YkyxfKTNk6LTssaS8BwCgA1yqBAD4TUrL0cTUbJW5a+T27FdiVLS8pk9rqrersaVZ+YkZmpY5UgtLV6u8oVaGpJSoONV7G9Xg9ciQNDzWpYmpOXK3NCo9JkHTs/JYGQMAoBOGaZqm3ZMYCIKpxg0AAABg4AomNmDLIgAAAADYhIAMAAAAAGzCpn4AQBs+08c9ZAAAhAn3kFmEe8gADATraiu0qLxYuz37LOvTkKHC7AKyLAIABo1gYgMuWQIAJB0IxhaUrLS8X1OmiipLJImgDACAQ3APGQBAPtOnReXFIR1jaeUmeX3ekI4BAEB/Q0AGAFCZu8bSbYodMWVq+Y7NIR0DAID+hoAMACC3Z39YxqlpbAjLOAAA9BcEZAAAuZyxYRknPSYhLOMAANBfEJABAJTvSleyMy6kYxgyND0rL6RjAADQ3xCQAQDkMByanTs5pGMUZhdQjwwAgEMQkAEAJEmT0nJ0zdiTLF8pM2TotOyxpLwHAKADXKoEAPhNSsvRxNRslblr5PbsV2JUtLymT2uqt6uxpVn5iRmaljlSC0tXq7yhVoaklKg41Xsb1eD1yJA0PNaliak5crc0Kj0mQdOz8lgZAwCgE4ZpmqbdkxgIgqnGDQAAAGDgCiY2YMsiAAAAANiEPSQAgDZ8po8tiwAAhAlbFi3ClkUAA8G62go9t3mt6pqtLRRNUg8AwGASTGzAJUsAgKQDwdiCkpUh6buoskSSCMoAADgE95ANMF6fV0u/2KR/bv5AS7/YJK/Pa/eUAPQDPtOnp8reD+kYRZUl/JsEAMAhWCEbQBZvWa+llZtk6n+7UBdvXa/C7AKuSgPoUmldtfZ6PSEf580vPtPph40L+TgAAPQXrJANEIu3rFdRZUmbYEySTJkqqizR4i3rbZoZgP7gM/fOsIyzYdcXYRkHAID+goBsAPD6vFpauanLNksr2b4IAAAA9DUEZAPA8h2b262MHcqUqeU7NodpRgD6mzGujLCMMzE1OyzjAADQXxCQDQA1jQ2WtgMw+ByelKn4SGfIx/lG9piQjwEAQH9CQDYApMckWNoOwODjMBy6JH9qSMc4LXssBaIBADgEAdkAMD0rT4aMLtsYMjQ9Ky9MMwLQH01Ky9E1Y09SkjPW0n4NURgaAIDOcKlyAIh0RKowu8BfeLUjhdkFXJkG0K1JaTmamJqtMneN3J79SoyKltf0aU31djW2NCs/MUPTMkdqYelqlTfUypCUEhWnem+jGrweGZKGx7o0MTVH7pZGpcckaHpWHv/+AADQCcM0za6zQSAg9fX1crlccrvdSkxMtGUOHdUhM2RQhwwAAAAIo2BiAy5ZDiCzRh+tc0aO1/Idm1XT2MCVaQAAAKCP40x9gIl0RKpweIHd0wAAAAAQAJJ6AAAAAIBNCMgAAAAAwCYEZAAAAABgEwIyAAAAALAJARkAAAAA2ISADAAAAABsQkAGAAAAADYhIAMAAAAAmxCQAQAAAIBNCMgAAAAAwCYEZAAAAABgEwIyAAAAALAJARkAAAAA2ISADAAAAABsQkAGAAAAADYhIAMAAAAAmxCQAQAAAIBNCMgAAAAAwCaRwb6gpaVFCxcu1LJly1RdXS2fz9fm+TfffNOyyQEAAADAQBZ0QHbDDTdo4cKFmjlzpo488kgZhhGKeQEAAADAgBd0QPbss89q0aJFOvPMM0MxHwAAAAAYNIK+h8zpdCovLy8UcwEAAACAQSXogOymm27SQw89JNM0QzEfAAAAABg0gt6y+M477+itt97S66+/riOOOEJRUVFtnn/xxRctmxwAIPx8pk9l7hq5PfuVGBUtr+nTmurtamxpVn5ihqZljtTC0tUqb6iVISklKk713kY1eD0yJA2PdWliao7cLY1Kj0nQ9Kw8RTqC/roBAGBQCPobMikpSd/97ndDMRcAgM3W1VZoUXmxdnv2dfj8h7sqtXjb+jbH9ra42zzevr9O27+o8z9evHW9CrMLNGv00ZbPFwCA/i7ogOzxxx8PxTwAADZbV1uhBSUrLe/XlKmiyhJJIigDAOAQPSoM7fV6tXTpUi1YsEANDQ2SpB07dmjPnj2WTg4AEB4+06dF5cUhHWNp5SZ5fd6QjgEAQH8T9ArZ9u3bdcYZZ+jzzz9XU1OTTjvtNCUkJOj3v/+9mpqa9Oijj4ZingCAECpz13S6TdEqpkwt37FZhcMLQjoOAAD9SdArZDfccIOmTJmi3bt3KzY21n/8u9/9rpYtW2bp5AAA4eH27A/LODWNDWEZBwCA/iLoFbKVK1fqvffek9PpbHN85MiRqqystGxiAIDwcTlju29kgfSYhLCMAwBAfxH0CpnP51NLS0u741988YUSEviiBYD+KN+VrmRnXEjHMGRoelZeSMcAAKC/CTogO/300/Xggw/6HxuGoT179ugXv/iFzjzzTCvnBgAIE4fh0OzcySEdozC7gHpkAAAcwjBN0wzmBV988YVmzJgh0zRVVlamKVOmqKysTGlpaXr77beVkZERqrn2afX19XK5XHK73UpMTLR7OgDQI93VIesJQwZ1yAAAg0owsUHQAZl0IO39c889pw8//FB79uzRpEmTdPHFF7dJ8jHYEJABGCh8pk9l7hq5PfuVGBUtr+nTmurtamxpVn5ihqZljtTC0tUqb6iVISklKk713kY1eD0yJA2PdWliao7cLY1Kj0nQ9Kw8VsYAAINKSAOyf/7zn7rwwgs7fO7mm2/WfffdF0x3AwYBGQAAAAApuNgg6HvIrr32Wr3++uvtjs+bN09PPfVUsN0BAAAAwKAVdED29NNP68ILL9Q777zjP3b99ddr0aJFeuuttyydHAAAAAAMZEEHZDNnztRf/vIXnX322SouLtaPfvQjvfjii3rrrbdUUFAQijkCAAAAwIDUo7usL7roItXV1emEE05Qenq6VqxYobw8assAAAAAQDACCsjmz5/f4fH09HRNmjRJf/nLX/zHHnjgAWtmBgAAAAADXEAB2fr16zs8npeXp/r6ev/zhmFYNzMAAAAAGOACCshI1gEAAAAA1gs6qQcAAAAAwBo9Suqxdu1aLVq0SJ9//rk8Hk+b51588UVLJgYAAAAAA13QK2TPPvusjj/+eJWUlOill15Sc3OzNm7cqDfffFMulysUcwQAwHI+06fSup1aU71NpXU75TN9dk8JADAIBb1Cdvfdd+uPf/yj5s6dq4SEBD300EMaNWqUrrnmGg0bNiwUcwQAwFLraiu0qLxYuz37/MeSnXGanTtZk9JybJwZAGCwCXqFrLy8XDNnzpQkOZ1O7d27V4ZhaN68eXrssccsnyAAAFZaV1uhBSUr2wRjkrTbs08LSlZqXW2FTTMDAAxGQQdkycnJamhokCRlZ2frk08+kSTV1dVp3759Xb0UAABb+UyfFpUXd9lm0ZZiti8CAMIm4IDsiiuuUENDg04++WQVFRVJkr73ve/phhtu0FVXXaULL7xQ3/zmN0M2UQAAeqvMXdNuZexQu5v2qcxdE6YZAQAGO8M0TTOQhhEREfryyy8VGRmpxsZGZWVlyefz6d5779V7772n/Px83XHHHUpOTg71nPuk+vp6uVwuud1uJSYm2j0dAEAH1lRv0/8rfa/bdleOOV7HZowM/YQAAANSMLFBwEk9WuO2lJQU/zGHw6Hbbruth9MEACC8XM5YS9sBANBbQWVZbGhoUExMTJdtWB2yl9fn1fIdm1XT2KD0mARNz8pTpKNH5eYAYMDJd6Ur2RnX5bbF5Og45bvSwzgrAMBgFtSZ+uGHH97pc6ZpyjAMtbS09HpS6JnFW9ZraeUmmfrfLtTFW9erMLtAs0YfbePM+h5Pi0fPlq1VcW2Fmk2ffF9/aoakKBmKioiUw3DIFRWjlOh45SVlKDvepfL6WknS4a5MjUnKkMMIOi8OABs5DIdm507WgpKVnbaZPXoyf7cBAGETVEC2ePHiNlsW0Xcs3rJeRZUl7Y6bMv3HCcoOeGTjCn20q7LD50xJHpnytDRLkhq8Tfpiv1sf1e1o0+61io2Kj3Tqkvyp1CwC+plJaTm6ZuxJ7euQRcdp9mjqkAEAwivgpB4Oh0NVVVXKyMgI9Zz6JTuTenh9Xl337vNtVsYOZcjQwyd8b9BvX+wqGOupa8aexAkc0A/5TJ/K3DVye/bL5YxVviudlTEAgCVCktQDfdfyHZu7DMakAytly3dsVuHwgjDNqu/xtHgsD8Yk6bnytZqYms2JHAaMgwOVxKhoeU2f1lRvV2NLs/ITMzQtc6QWlq5WeUOtDEkpUXGq9zaqweuRIWl4rEsTU3Pkbmns0/eyOgyHxiRl2j0NAMAgF/A35IgRIxQRERHKuaCHahobLG03UC3e8mFI+q3z7FeZu4YTOwwI62or2m3lO9iHuyq1eNv6Nsf2trjbPN6+v07bv6jzP+ZeVgAAOhdwQLZ169ZQzgO9kOqMt7TdQFUdwoDU7dkfsr6BcFlXW9Flsoue4l5WAAA6xx6rgcAI6DbAwNsNUBkxCSHrm5pF6O98pk+LyotDOsbSyk3y+rwhHQMAgP6GgGwA+Kqp83o6PWk3UM0aPSEk/SZ9nQwA6M/K3DVd1uayQuu9rAAA4H8IyAaA9ABXfgJtN1A5I5w6KiXb8n7Pz51CQg/0e+HadjvY72UFAOBQlpxF1tXVWdENemh6Vp4MGV22MWRoelZemGbUd8094hTLgrL4SCcp7zFghGvb7WC/MAQAwKGCzkP8+9//XiNHjtT5558vSZo9e7ZeeOEFDR06VK+99pomTAjNtjB0LtIRqcOGJGv7nl2dtjlsSHKfTDtth7lHnCJPi0fPlq1VcW2Fmk2ffF8XDjAkRclQVESkHIZDrqgYpUTHKy8pQ9nxLpXX10qSDndlakxSBitjGDDyXemKj3Rqr9cT0nG4MAQAQFtBn6E/+uijevrppyVJRUVFKioq0uuvv65Fixbp5ptv1n//+1/LJ4mueX1efb5nd5dtPt+zW16fl6Dsa84Ipy4tOF6XBvm6I0Ow5REAAACDV9CX96uqqpSTc2CL1iuvvKLZs2fr9NNP1y233KIPPvggqL7efvttffvb31ZWVpYMw9DLL7/c5vnLLrtMhmG0+TnjjDPatNm1a5cuvvhiJSYmKikpSVdeeaX27NnTps1HH32kk046STExMcrJydG9997bbi7PP/+8CgoKFBMTo/Hjx+u1114L6r3YKZjC0ADQkTJ3TchXxyTx7xAAAIcIOiBLTk5WRUWFJGnJkiUqLCyUJJmmqZaWlqD62rt3ryZMmKBHHnmk0zZnnHGGvvzyS//PP//5zzbPX3zxxdq4caOKior0yiuv6O2339bVV1/tf76+vl6nn366RowYoeLiYt1333365S9/qccee8zf5r333tOFF16oK6+8UuvXr9c555yjc845R5988klQ78cuFIYG0Fsk9QAAwB5B718799xzddFFFyk/P19fffWVvvWtb0mS1q9fr7y84O4N+Na3vuV/fWeio6M1dOjQDp8rKSnRkiVL9MEHH2jKlCmSpD//+c8688wz9Yc//EFZWVl6+umn5fF49Pe//11Op1NHHHGENmzYoAceeMAfuD300EM644wzdPPNN0uSfv3rX6uoqEgPP/ywHn300aDekx3Isgigt0jqAQCAPYJeIfvjH/+o6667TuPGjVNRUZGGDBkiSfryyy/1ox/9yPIJLl++XBkZGRozZoyuvfZaffXVV/7nVq1apaSkJH8wJkmFhYVyOBx6//33/W1OPvlkOZ1Of5sZM2aotLRUu3fv9rdpXek7uM2qVas6nVdTU5Pq6+vb/NiFLIsAeqs1qUeo8e8QAABtBb1CFhUVpZ/85Cftjs+bN8+SCR3sjDPO0LnnnqtRo0apvLxcP/3pT/Wtb31Lq1atUkREhKqqqpSRkdHmNZGRkUpJSVFVVZWkA/e8jRo1qk2bzMxM/3PJycmqqqryHzu4TWsfHbnnnnt01113WfE2ey3SEanC7AIVVZZ02qYwu4CEHgAAAEAf06Mz9NLSUv35z39WScmBAGDs2LG6/vrrNWbMGEsnd8EFF/j/f/z48TrqqKOUm5ur5cuX65vf/KalYwXr9ttv1/z58/2P6+vr/clO7DBr9NGSpKWVJW3SexiSCrPH+p8HgI6EM6lH4fCCkI8DAEB/EfSWxRdeeEFHHnmkiouLNWHCBE2YMEHr1q3TkUceqRdeeCEUc/QbPXq00tLStHnzgSxdQ4cOVXV1dZs2Xq9Xu3bt8t93NnToUO3cubNNm9bH3bXp7N416cC9bYmJiW1++oJDcy12nXsRAA4gqQcAAPYIOiC75ZZbdPvtt2vVqlV64IEH9MADD+i9997TT3/6U91yyy2hmKPfF198oa+++krDhg2TJE2bNk11dXUqLi72t3nzzTfl8/k0depUf5u3335bzc3N/jZFRUUaM2aMkpOT/W2WLVvWZqyioiJNmzYtpO/HSou3rO90y2JRZYkWb1kf5hkB6E9I6gEAgD2CDsi+/PJLXXpp+3K6l1xyib788sug+tqzZ482bNigDRs2SJK2bt2qDRs26PPPP9eePXt08803a/Xq1dq2bZuWLVum73znO8rLy9OMGTMkHdgqecYZZ+iqq67SmjVr9O677+q6667TBRdcoKysLEnSRRddJKfTqSuvvFIbN27Uc889p4ceeqjNdsMbbrhBS5Ys0f33369Nmzbpl7/8pdauXavrrrsu2I/HFl6ft8v7x6QDQZnX5w3TjAD0N/mudCU740I6BsmFAABoL+iAbPr06Vq5cmW74++8845OOumkoPpau3atjj76aB199IH7m+bPn6+jjz5ad955pyIiIvTRRx/p7LPP1uGHH64rr7xSkydP1sqVKxUdHe3v4+mnn1ZBQYG++c1v6swzz9SJJ57YpsaYy+XSf//7X23dulWTJ0/WTTfdpDvvvLNNrbLjjz9ezzzzjB577DFNmDBBixcv1ssvv6wjjzwy2I/HFm9WllraDsDg4zAcmp07OaRjkFwIAID2DNM0g7rN6NFHH9Wdd96p2bNn67jjjpMkrV69Ws8//7zuuusu/8qUJJ199tnWzrYPq6+vl8vlktvtDvv9ZPdu+K/KG2q7bZebkKZbJp4ehhkB6K/W1VZoUXmxdnv2WdanIUOF2QUkFwIADBrBxAZBB2QOR2CLaoZhqKWlJZiu+zUCMgADhc/0qcxdI7dnvxKjouU1fVpTvV2NLc3KT8zQtMyRWli6WuUNtTIkpUTFqd7bqAavR4ak4bEuTUzNkbulUekxCZqelcfKGABgUAkmNgj6G9Ln8/V4YgiNiSnDAwrIJqYMD8NsAPR3DsOhMUltazMemZLd5vF1408N55QAABiwgr6H7GCNjY1WzQO98I3hh1vaDgAAAEB4BB2QtbS06Ne//rWys7M1ZMgQbdmyRZL085//XP/v//0/yyeI7kU6InVa9tgu25yWPZYtQwAAAEAfE3RA9tvf/lYLFy7UvffeK6fT6T9+5JFH6m9/+5ulk0PgZo0+WiOGpHT43IghKdxMDwAAAPRBQQdkTz75pB577DFdfPHFioiI8B+fMGGCNm3aZOnkELjFW9Zr+55dHT63fc8uCkMDwCF8pk+ldTu1pnqbSut2ymdyjzQAIPyC3sNWWVmpvLz2hT19Pp+am5stmRSC4/V5tbSy62B4aeUmnTNyPNsWAUAdp/dPdsZpdu5kTUrLsXFmAIDBJugVsnHjxnVYGHrx4sX+As8Ir+U7NstU19ULTJlavmNzmGYEAH3XutoKLShZ2a7W2m7PPi0oWal1tRU2zQwAMBgFvVxy5513as6cOaqsrJTP59OLL76o0tJSPfnkk3rllVdCMUd0o6axwdJ2ADBQ+UyfFpUXd9lm0ZZiTUzNlsPoVSJiAAACEvS3zXe+8x395z//0dKlSxUfH68777xTJSUl+s9//qPTTjstFHNEN9JjEixtBwADVZm7pt3K2KF2N+1TmbsmTDMCAAx2Pbqh6KSTTlJRUZHVc0EPTc/K0+Kt67vctmjI0PSs9vf+AcChfKZPZe4auT37lRgVLa/p05rq7WpsaVZ+YoamZY7UwtLVKm+olSEpJSpO9d5GNXg9MiQNj3VpYmqO3C2NSo9J0PSsvD5z/6rbs9/SdgAA9FbQ35CjR4/WBx98oNTU1DbH6+rqNGnSJH9dMoRPpCNShdkFKqos6bRNYXZBnzkhAtB3dZTs4mAf7qrU4m1ts7bubXG3ebx9f522f1Hnf7x463oVZhf0ifIbLmespe0AAOitoLcsbtu2TS0tLe2ONzU1qbKy0pJJAQDCr7NkF71lylRRZUmfKL+R70pXsjOuyzbJ0XHKd6WHaUYAgMEu4CWTf//73/7/f+ONN+RyufyPW1patGzZMo0cOdLSySEwpL0PnqfFo2fL1qq4tkLNpk++rzd8GpKiZCgqIlIOwyFXVIxSouOVl5Sh7HiXyutrJUmHuzI1JimDm/4xYASS7KK3+sK/Qw7Dodm5k7WgpH224FazR0/m7zYAIGwM0zS7zpf+NYfjwJeTYRg69CVRUVEaOXKk7r//fp111lnWz7IfqK+vl8vlktvtVmJiYljHXvrFJj2/dV237b43apIKhxeEYUZ92yMbV+ijXb1fzY2PdOqS/KnULMKAUFq3Uw98vCzk4/SVf4c6rEMWHafZo6lDBgDovWBig4AvU/p8PknSqFGj9MEHHygtLa13s4RlSHsfOKuCMUna6/VoQclKXTP2JE7g0O+FK4lFX/l3aFJajiamZvuTl7icscp3pbMyBgAIu6D3jWzdujUU80AvkPY+MJ4Wj2XB2MGeK19LzSL0e+FKYtGX/h1yGA6NScq0exoAgEEu4DPIVatWtSv8/OSTT2rUqFHKyMjQ1VdfraamJssniO5Nz8qTIaPLNqS9lxZv+TAk/dZ59lOzCP1eIMkueot/hwAAaC/ggOxXv/qVNm7c6H/88ccf68orr1RhYaFuu+02/ec//9E999wTkkmia61p77tC2nupOoRbpQZKzSKf6dOm3V/qX9s+1L+2faiS3VXy+rwqrdup1Tu3aukXm/R+9VaV1u30H19TvU2ldTvlM312Tx+90JrsIpT4dwgAgPYC/mbcsGGDfv3rX/sfP/vss5o6dar+7//+T5KUk5OjX/ziF/rlL39p+SQBK2TEJKhEVSHpeyDULFpXW6Gnyt7XXq/Hf+y1io2dtjdktClGnuyM0+xcEiL0Z5PScnTN2JO6rEPWE4aMPlOHDACAvibggGz37t3KzPzfXvsVK1boW9/6lv/xMccco4qKCmtnh4CQ9j4ws0ZP0IqqMsv7Tfo6GUB/1lp/KhgHB2OStNuzL+gkJz7Tp8/qdqrUXS2JcgJ9waHJLhKjouU1fVpTvV2NLc3KT8zQtMyRWli6WuUNtTIkpUTFqd7bqAavR4ak4bEuTUzNkbulUekxCZqelTeo/+0BAKArAX9DZmZmauvWrcrJyZHH49G6det01113+Z9vaGhQVFRUSCaJri3fsbndyfGhTJlavmNzn0g3bRdnhFNHpWRbntjj/Nwp/TqA8Jk+PVe+1rL+Fm0pDijJSWcrcpQTsF9HyS6OTMlu8/i68aeGc0oAAAxYAZ9Fnnnmmbrtttu0cuVK3X777YqLi9NJJ53kf/6jjz5Sbm5uSCaJrpH2PnBzjzhFRx1yYtlT8ZHOAZHyvsxdozoL74Hb3bSv2yQnrStyBwdjrVrLCayrZcUdAAAMfAGvkP3617/Wueeeq1NOOUVDhgzRE088IafT6X/+73//u04//fSQTBJdI+19cOYecYo8LR49W7ZWxbUVajZ98n29xmhIipKhqIhIOQyHXFExSomOV15ShrLjXSqvr5U0sLbWhSIhSVd9BroiRzkBAAAwGAQckKWlpentt9+W2+3WkCFDFBER0eb5559/XkOGDLF8guje9Kw8Ld66vstti6SbbssZ4dSlBcfr0iBfd+i2rYEgFAlJuuoz0BW51nIC1IkCAAADWdB3Wbtcrg6Pp6Sk9Hoy6JnWtPdFlSWdtiHdNDqT70pXkjPWsm2LydFxXSY5CWZFbqCUE+hvfKaPpB4AAIQJ35ADRGs66aWVm9qslJFuGt1xGA6dnzsl6CyLnZk9enKX2wyDWZEbCOUE+pt1tRVdpr3/cFelFm9b3+bY3hZ3m8fb99dp+xd1/seLt67n3yEAADpBQDaAzBp9tM4ZOV7Ld2xWTWMDV6YRsNb6U4dmPexKuzpk0XGaPbr7OmSBrsgNhHIC/U1Pyh8EwpTpX8HvS0HZwSuBrq9/37hnEQAQbpypDzCRjshBndoePddaf+rQumD5rjSV13+l3U37tKe5SQnOaCU545SbmKry+q+CPpkNdEWuv5cT6G98pk+LyotDOkZfqofY0Uogxc0BAHYwTNPsuoAVAlJfXy+XyyW3263ExES7pwP0eR3VIZNEHTKblNbt1AMfLwv5ON8bNcn2i0bdrQQOhHIWAAB7BRMbBHSZ8t///nfAg5999tkBtwXsssezX/cUL1Gtt+ttcw5JsY4ojUpI1ajENH1aVyVJmpAyXN8cfnifuNLfX3W2IjdQygn0N+FKoGJ3PcRAVgIDLW4OAIAVAjqbPOeccwLqzDAMtbS09GY+QMjdvPpF1Tc3BtTWJ2mvr1mfuKv0ibvKf7y8oVYvbt+g07LH9ql7Yvobh+FQQfIwFSQPs3sqg164EqjYXQ+xzF3TacKSVq3FzSm5AAAIh4ACMp/PF+p5wCKN3ib9fdNq1TTtUXr0EF1RcJxiIqPtnlafEUwwFoi+mKgA6Il8V7qSnXHdBiu90RfqIQa6EkjJBQBAuLAfYwC5e/0S3bDqBX24u1I79rn14e5K3bDqBd29fondU+sT9nj2WxqMtSqqLJHX57W8XyCcHIZDs3Mnh3SMvlAPMdCVQEouAADCpUffjHv37tWKFSv0+eefy+Npe0P+j3/8Y0smhuDcvX6Jtu/Z1eFz2/fs0t3rl+inR58R5ln1Lfd/GLqEBct3bLY9UQHQW63lD7qqQ9YTfakeYiArgd0VNwcAwEpBB2Tr16/XmWeeqX379mnv3r1KSUlRbW2t4uLilJGRQUBmg0ZvU6fBWKvte3ap0ds0qLcv1jWHbguS3YkKAKu0Jltprc+VGBUtr+nTmurtamxpVn5ihqZljtTC0tUqb6iVISklKk713kY1eD0yJA2PdWliao7cLY19rh5i60pgV1kWuytuDgCAlYL+xpk3b56+/e1va/fu3YqNjdXq1au1fft2TZ48WX/4wx9CMUd04++bVlvabqBKigrdFiS7ExUACFzrSmCyM67N8eToOFLeAwDCLug6ZElJSXr//fc1ZswYJSUladWqVRo7dqzef/99zZkzR5s2bQrVXPs0O+uQ3VX8qnbsc3fbLivOpV9MnhmGGfVNezz7ddP7L4Wk70dOmN1nVgCA3uioYHJv9aUtiwfzmT7/SmAwxc0BAOiO5XXIDhYVFSWH48AXVkZGhj7//HONHTtWLpdLFRUVPZsxeiUtOj6ggCwtOj4Ms+m7hjhjlRgVY3lij9OyxxKMYUDormByT5ky+2RGUofhILU9AMB2QV8KPProo/XBBx9Ikk455RTdeeedevrpp3XjjTfqyCOPtHyC6F5uQqql7Qay+447V5EWXgE/KiW7T51gAj0VSMHk3lpauYmMpAAAHCLoM9O7775bw4YdKOL629/+VsnJybr22mtVU1OjBQsWWD5BdG93gCs+gbYbyB7ZuEJe07q6eh/tqtS6WlaG0f8FUjC5t0yZWr5jc0jHAACgvwl6n9WUKVP8/5+RkaElS6hxZbdAE0oM9sQTnhaPPtpVaXm/z5Wv1cTUbO49Qb8WrkLIZCQFAKCtoM8gv/GNb6iurq7d8fr6en3jG9+wYk4I0vSsPBkyumxjyND0rLwwzahvWrzlw5D0W+fZrzJ3TUj6BsIlXIWQB/uFIQAADhV0QLZ8+fJ2xaAlqbGxUStXWn8zOLoX6YhUQlTX9cUSoqIHfeKJ6hBemQ/X6gIQKq0Fk0OJC0MAALQX8Bn6Rx995P//Tz/9VFVVVf7HLS0tWrJkibKzs62dHQLS6G3qNnNgfXPjoC8MnRGToBJVdd+wB8K1ugCESiAFk3urMLtg0F8YAgDgUAF/M06cOFGGYcgwjA63JsbGxurPf/6zpZNDYIIpDP2jI08J8Wz6rlmjJ2hFVZnl/SZ9Xb8I6O9aCyYPljpkAAD0BQEHZFu3bpVpmho9erTWrFmj9PT/nYA6nU5lZGQoIiIiJJNE1wK9SX6w30zvjHCGpA7ZMekjSeiBAWNSWo4mpmb7CyYnRkXLa/q0pnq7GlualZ+YoWmZI7WwdLXKG2plSEqJilO9t1ENXo8MScNjXZqYmiN3S6PSYxI0PSuvT66MURgaANAXBPwNOWLECEmSz2ddynBYxLS43QDlafFYHoxJ0gc123TuqAmcyGHA6Khg8pEpbbekXzf+1HBOyXLraivarQQmO+M0O3eyJqXl2DgzAMBg06MzyPLycl1//fUqLCxUYWGhfvzjH6u8vNzquSFAowMs+Bxou4GKLIsApAPB2IKSle22Ze727NOCkpXUFgQAhFXQAdkbb7yhcePGac2aNTrqqKN01FFH6f3339cRRxyhoqKiUMwR3Rg2JNnSdgMVWRYB+EyfFpUXd9lm0ZZi+SwsIA8AQFeC3tR/2223ad68efrd737X7vitt96q0047zbLJITDTs/K0eOt6mV3sSSTdNFkWAUhl7ppuE5bsbtqnMndNu22bAACEQtABWUlJiRYtWtTu+BVXXKEHH3zQijkhSJGOSBVmF6iosqTTNqSbJssiEKiDk10MtKQega5ms+oNAAiXoL8h09PTtWHDBuXn57c5vmHDBmVkZFg2MQSnNZ300spNbVbKSDf9P84Ip45KydZHuyot7ff83Ckk9MCA0VGyi4N9uKtSi7etb3Nsb4u7zePt++u0/Ys6/+PFW9f3mX+HAl3NZtUbABAuAQdkv/rVr/STn/xEV111la6++mpt2bJFxx9/vCTp3Xff1e9//3vNnz8/ZBNF92aNPlrnjByv5Ts2q6axoc9dmQbQt7Umu7CaKdO/gm93UJbvSld8pFN7vZ5O28RHOln1BgCETcBn6nfddZd++MMf6uc//7kSEhJ0//336/bbb5ckZWVl6Ze//KV+/OMfh2yiQG95WjyWr45J0nPlazUxNZtVMvRrgSS76K2llZt0zsjx/eAikWH3BAAAg0jA34qmeWAbnGEYmjdvnubNm6eGhgNZ6xISEkIzOwRl8Zb1WlpZ0ia1x+Kt61SYPdb2q9J9QajT3pMAAP1ZIMkuesuUqeU7NqtweEFIx+lKmbumy9UxSdrrbeLvNAAgbIK6TGkYba8aEoj1HYu3rO8wqYcp9ZmtQnYj7T3QuXD9DteE8O9hIEjqAQDoa4IKyA4//PB2Qdmhdu3a1asJIXhen7fLDIvSgaCsf2wVCh3S3gOdC9fvcHqMvRfyEqOiLW0HAEBvBXV2ftddd8nlcoVqLuihNytLA253es4RIZ5N30Xae6Bz+a50JTvjQrptsS/UQzQDvD8s0HYAAPRWUAHZBRdcQGr7PmjDV4ElqtjwVeWgDsicEU4lRsWovrnR0n6PSR9JQg/0ew7Dodm5k0OSZbFVX6iH2BDg3/9A2wEA0FsBn0V2t1UR6Os8LR7LgzFJ+qBmm3ymz/J+gXCblJaja8aepGRnnKX9GjJ0Wh9JLsSWRQBAXxN0lkX0PRNThqu8oTagdoMZWRaB7k1Ky9HE1GyVuWvk9uxXYlS0vKZPa6q3q7GlWfmJGZqWOVILS1ervKFWhqSUqDjVexvV4PXIkDQ81qWJqTlytzT2uXqIbFkEAPQ1AX9D+nysAPRVxw8dpRe2bwio3WBGlkUgMA7D0e4Cw5Ep2W0eXzf+1HBOyTJsWQQA9DXc+DIAPPnZGkvbDVQZIczuRpZFoH8I9O8qf6cBAOFCQDYA1DTtsbTdQDVr9ISQ9EuWRaD/aM0m2ZXk6Dj+TgMAwoaAbABIjx5iabuBqjXLotXIsgj0H63ZJLsye/Rk/k4DAMKGb5wB4IqC4yxtN1CRZRGA1Hk2yeToOF0z9iRNSsuxaWYAgMGob6S9Qq/EREZrxJAUbd+zq9M2I4akKCZycKdxJssigFaHZpN0fb31mJUxAEC48c0zQPz06DM0YkhKh8+NGJKinx59Rphn1PeQZRHAwVqzSR6bMVJjkjIJxgAAtmCFbAD56dFnqNHbpL9vWq2apj1Kjx6iKwqOG/QrY60yYhJUoqqQ9E1GNgAAAPQEAdkAExMZrR8deYrd0+iTZo2eoBVVZZb3S5ZFAAAA9BT7MzBoOCOcOuqQ4rZWOD93CludAAAA0COskGFQmXvEKXpk4wp9tKuy133FRzp1Sf7UAZWRzWf69FndTpW6qyVJh7syle9KU3n9V9rdtE97mpuU4IxWkjNOuYmpKq//ioQIAAAAvWCYpmnaPYmBoL6+Xi6XS263W4mJiXZPB93wtHj0bNlaFddWqNn0ySdTpiRDUpQMRUVEymE45IqKUUp0vPKSMpQd71J5fa2kA4HKmKSMARWArKut0FNl72uv1xNQe0PG15/aAcnOOM3OnTygAtTBymf6/NkHE6Oi5TV9WlO9XY0tzcpPzNC0zJFaWLpa5Q21MiSlRMWp3tuoBq9HhqThsS5NTM2Ru6VR6TEJmp6Vp0gH1/8AAINHMLEB35AAtK62QgtKVgb1moODMUna7dmnBSUrqePUz62rrdCi8mLt9uzr8PkPd1Vq8bb1bY7tbXG3ebx9f522f1Hnf7x463oVZhdo1uijLZ8vAAD9HQEZBp2utiyakjwy5WlpliQ1eJv0xX63Pqrb0abdaxUbB8yWRZ/p03Play3rb9GWYk1MzR5Qq4eDRU8C80CYMlVUWSJJBGUAAByCMyYMKlbdPyZJe70eLShZqXW1FZb0Z5cyd43qLKyjtrtpn8rcNZb1h/DwmT4tKi8O6RhLKzfJ6/OGdAwAAPobAjIMGp4Wj2XB2MGeK18rn+mzvN9wCUVRawpl9z9l7ppOtylaxZSp5Ts2h3QMAAD6GwIyDBqLt3wYkn7rPPv79YpQKIpaUyi7/wlXEF3T2BCWcQAA6C+4h2yA8fq8Wr5js2oaG8hudojqEJ4I9ucVoXxXupKcsZZtW0yOjqNQdj8UriA6PSYhLOMAANBfcKY+gCzesl5LKze1yX5HdrP/yYhJUImqQtJ3f14RchgOnZ87xbJkDrNHTyahRz+U70pXfKQz4LIHPTU9Ky+k/QMA0N9w1jRALN6yXkWVJe1SkbdmN1u8ZX0nrxw8Zo2eEJJ+k74uityfTUrL0TVjT1J8pDPg1xgy2jxOjo4j5T0AAECQWCEbALw+r5ZWbuqyzdLKTTpn5PhBvX3RGeHUUSnZlif2OD93yoBYEZqUlqOJqdn6rG6nSt3Vkg4UwM53pam8/ivtbtqnPc1NSnBGK8kZp9zEVJXXfyW3Z79cXwelA+FzGKzK3DUhXx2TpOU7NqtweEHIxwnEwQWw+R0GANhl8J6dDyDLd2xutzJ2qNbsZn3lRMguc484xbLU9wOlDtnBHIZDBcnDVJA8rM3xMUmZHbbv7Dj6n8GW1KOjAtjJzjjNzp08oP5OAwD6PgKyAWDnPrel7Qa6uUecIk+LR8+WrVVxbYWaTZ98X4e0hqQoGYqKiJTDcMgVFaOU6HjlJWUoO96l8vpaSQdWjsYkZXA1HQNGQlRMWMZJdcaHZZyudFYAe7dnnxaUrGTrLQAgrAjIBgC3p9HSdoOBM8KpSwuO16VBvu7IlOyQzAewm9HNKrt1A4VpnE4EUgB70ZZiTUzN5oILACAs+LYZAJKiA8vwF2g7AINPfXNTWMb5qim0xae7E0gB7N1N+/p1bUEAQP9CQDYAZMQmWtoOwOAzWOqQBXqvXH+uLQgA6F/YsjgATM/K0+Kt67tM7GHIoP4P+hyvz6s3K0u14asDSVYmpAzXN4cfPqizgdolNzFVhoxuEwT11olDR4W0/+4EGnj259qCAID+hbOeASDSEanC7AIVVZZ02qYwu4CT3IPs8ezXPcVLVOvt+iq4Q1KsI0qjElI1KjFNn9YdKCxN4NB7rbXzDlbeUKsXt2/QadljKWYeZuX1X4U8GJOkd6q22prtNZAC2PGR0f2+tiAAoP/gbHKAmDX6aH3m3qnte3a1e27EkBRObg9y8+oXVd8cWIITn6S9vmZ94q7SJ+4q/3ECh97pKBg7WOtzfLbhM9jS3nfN3sQjAIDBhXvIBojFW9Z3GIxJ0vY9u7R4y/owz6hvCiYYC0RRZQmfbZAOFDLvPBhrVVRZIq/PG4YZQRo8ae8DKYC91+shqQcAIGxYIRsADpzgbuqyzdLKTTpn5PhBvcVuj2e/pcFYq6LKkgHz2fpMnz6r26lSd7WkA/XW8l1pKq//Srub9mlPc5MSnNFKcsYpNzFV5fVfye3ZL5czVvmu9IDShB8oZB4YipmHz2BJe09SDwBAX9P/zyDx9Qlu1yc5psxBf3J774dLQ9b3m5VlOj1nbMj6D4d1tRV6quz9NqsHr1Vs7LT9oQkgkp1xmp07uduCusFsWesf29sGhrow1Sms2b8nLON0hqQeAIC+hi2LA0CgJ62D/eS2tjF0J4Ll9f17e9O62gotKFnZ7Vaugx16EWC3Z58WlKzUutqKLl8XTNpzu1OkDyb1YQrI6mxeecp3pSvZGddlm+ToOJJ6AADChoBsAAj0pHWwn9w6DCNkfUdH9N/FZp/p03Play3rb9GWYvlMX6fPT8/KU6B/EpRqCJ993vAUht4bpnE64zAcmp07ucs2s0dPDmj7LQAAVuAbZwAItK6P3fV/7HZMatdb6XrjuIyRIes71MrcNZauWuxu2tdlQoQDZRq63955WvbYAXFfXn9hhPCCxSEjhWmczk1Ky9E1Y09qt1KWHB2na8ae1O22WwAArMTZzgDw9pebA253es4RIZ5N33Xh4cfovdrtlvcbaThUkDzU8n7DJRTJC7rrszWdfWep7yknEH6HuzK7vGfQKhNThod8jEBMSsvRxNRslblrgk5MAwCAlfjmGQA2fFVpaTsEx9nPV3FCkbwgkD5HJ6YpLiKq3fHYiCiNTkyzfE7o2pikDMVHOkM+zjeGHx7yMQLlMBwak5SpYzNGakxSJsEYAMAWfPsMBGaAaaQDbTdALd7yYUj63dfSv2sW5bvSlWRhUBZIQoTWJCL7WprbPbe/pTmg5CCwlsNw6JL8qSEdg22oAAC0R0A2AMRFBHZVO9B2A1XVfnfI+q7z7AtZ36HmMBw6P3eKZf11lxDBZ/r0j7L3u+3nH2Xvd5kcBNZrvbcqKcr6VVO2oQIA0DEuVQ4AyTFxUgCxRnJM16meB7qGptCl9W7w2Js5rj8pravWvgDS6+/zelRaV62x/fj+vP7o0HurEqOi5TV9WlO9XY0tzcpPzNC0zJFaWLpa5Q21MiSlRMWp3tuoBq9HhqThsS5NTM2Ru6VR6TEJmp6Vx8oYAACd4BtyAMiMc1nabqCKDeEJYVwY7r0JlVCkvZ+Ymt3pKtln7p0B9/WZeycBmQ1a76062JEp2W0eXzf+1HBOCQCAAYstiwPAgbpOXaeSNmQM+ppO+33ekPUdyIpPXxXutPcAAAD4HwKyAeBAXaeCLtsUZhcM+i1DCdExoevbGR2yvkMt3Gnvx7gyAu4nmLYAAAD9EQHZADFr9NE6LXtsu5UyQwY3038tI2ZIyPp2RYUu2Au1cKe9z+smA2NP2wIAAPRHBGQDyKzRR+sPU89RVkyi4iKilBWTqD9MPYdg7GuhTNhndrNltC8Ld9r78vqvAu4rmLYAAAD90eDewzbA3L1+ibbv2eV/vK+lWTe9/5JGDEnRT48+w8aZ9Q1f7q0LWd+7m/p/2vsFJSst6a+7tPfBbJEMxXZKAACAvsTWFbK3335b3/72t5WVlSXDMPTyyy+3ed40Td15550aNmyYYmNjVVhYqLKysjZtdu3apYsvvliJiYlKSkrSlVdeqT179rRp89FHH+mkk05STEyMcnJydO+997aby/PPP6+CggLFxMRo/Pjxeu211yx/v6F0aDB2sO17dunu9UvCPKO+pzKEdci21teGrO9waK0/FR9EtshDt8cmR8fpmrEnaVJaTpevC2aLZCi2UwIAAPQltq6Q7d27VxMmTNAVV1yhc889t93z9957r/70pz/piSee0KhRo/Tzn/9cM2bM0KeffqqYmAP37Fx88cX68ssvVVRUpObmZl1++eW6+uqr9cwzz0iS6uvrdfrpp6uwsFCPPvqoPv74Y11xxRVKSkrS1VdfLUl67733dOGFF+qee+7RWWedpWeeeUbnnHOO1q1bpyOPPDJ8H0gPNXqbOg3GWm3fs0uN3ibFRPbf5BO91RzCPYvu5v6/ktNaf+qzup0qdVdLkg53ZSrflaby+q+0u2mf9jQ3KcEZrSRnnHITU1Ve/5Xcnv1yOWOV70rvcmWsVesWye4yOyZ93ScAAMBAZpimado9CUkyDEMvvfSSzjnnHEkHVseysrJ000036Sc/+Ykkye12KzMzUwsXLtQFF1ygkpISjRs3Th988IGmTJkiSVqyZInOPPNMffHFF8rKytJf//pX/exnP1NVVZWczgNX/2+77Ta9/PLL2rRpkyTp/PPP1969e/XKK6/453Pcccdp4sSJevTRRwOaf319vVwul9xutxITE636WALyl09W6MPdld22m5CcrR8deUoYZtQ3XffOsyELyqamj9QVBceHpO+BaF1tRbdbJANZbQN6w2f6/AWwg7moAABAd4KJDfrsN8/WrVtVVVWlwsJC/zGXy6WpU6dq1apVkqRVq1YpKSnJH4xJUmFhoRwOh95//31/m5NPPtkfjEnSjBkzVFpaqt27d/vbHDxOa5vWcTrS1NSk+vr6Nj92qWna032jINoNVMekhu7k/riMkSHrG4D11tVW6Pb3/6UHPl6m/1f6nh74eJluf/9fWldbYffUAACDTJ8NyKqqqiRJmZmZbY5nZmb6n6uqqlJGRts6RZGRkUpJSWnTpqM+Dh6jszatz3fknnvukcvl8v/k5Nh3JT89OrB07oG2G6guPPyYkPTrdESqIHloSPoeiHymT8+Vr+223XPla+ULZWpMDFqtK7R1h2w1rmverwUlKwnKAABhRZbFHrr99ts1f/58/+P6+nrbgrIrCo7TDateCKjdYOaMcOqolGx9tKv77Z3BuHzMNLY5BaHMXdPt/WOSVOfZrzJ3jcYkZXbbFtY6eCtfYlS0vKZPa6q3q7GlWfmJGZqWOVILS1ervKFWhqSUqDjVexvV4PXIkDQ81qWJqTlytzQqPSZB07Py+kxhep/p01Nl73fZ5qmy9zUxNZu/1wCAsOgb35AdGDr0wIrDzp07NWzYMP/xnTt3auLEif421dXVbV7n9Xq1a9cu/+uHDh2qnTt3tmnT+ri7Nq3PdyQ6OlrR0X0jQUakI8LSdgPZ3CNO0SMbV1gSlMVFROn7hx/HfU5BIu1937autkKLyou129NxKYcPd1Vq8bb1bY7tbWmbwXT7/jpt/6LO/3jx1vUqzC7oEzURS+uqtdfr6bLNXq9HpXXVGsvKNwAgDPpsQDZq1CgNHTpUy5Yt8wdg9fX1ev/993XttddKkqZNm6a6ujoVFxdr8uTJkqQ333xTPp9PU6dO9bf52c9+pubmZkVFRUmSioqKNGbMGCUnJ/vbLFu2TDfeeKN//KKiIk2bNi1M77Z3lu/YHHC7wuEFIZ5NWx3dNC/J1hvp5x5xijwtHj1btlbFtRVqNn3yyZQpyZAUJUNREZFyGA65omKUEh2vvKQMZce7VP51evvDXZkak5TBFfQeIO193xVIspWeMGWqqLJEkmwPyj5z7+y+0dftCMgAAOFga0C2Z88ebd78v2Bi69at2rBhg1JSUnTYYYfpxhtv1G9+8xvl5+f7095nZWX5MzGOHTtWZ5xxhq666io9+uijam5u1nXXXacLLrhAWVlZkqSLLrpId911l6688krdeuut+uSTT/TQQw/pj3/8o3/cG264Qaeccoruv/9+zZw5U88++6zWrl2rxx57LKyfR09V7w8soUig7azS0ZX21jpXB1+hTnbGaXbu5LCuNDkjnLq04HhdGuTrjkzJDsl8+gqf6SPt/SDlM31aVF4c0jGWVm7SOSPH95ntiwAA9AW2fiuuXbtWp556qv9x6z1Zc+bM0cKFC3XLLbdo7969uvrqq1VXV6cTTzxRS5Ys8dcgk6Snn35a1113nb75zW/K4XDovPPO05/+9Cf/8y6XS//97381d+5cTZ48WWlpabrzzjv9Ncgk6fjjj9czzzyjO+64Qz/96U+Vn5+vl19+uV/UIJOk3U0dby3qaTsrdHalvaOtQrs9+7SgZCVpzm22rrZC//hstfa1NPuPvVaxMeDXJ0XF6vy8Kd3+GToMh45JH+lfMenMMekjWYEMozJ3TafbFK1iyrRlpf5gY1wZAf1ej3FldNsGAAAr9Jk6ZP2dnXXIfrduibbu7bowtCSNik/RbZPOCPl8fKZPP13z76BP7pKj43T3MWdzEm4DK7eqdRdY+0yfbl/zr4BWyO459jv8PoTJmupt+n+l74V8nOnD8nVhXmgyngbCZ/r0k9UvdnkfWXxktP5w3Hf53QMA9NiAqEOGwDkcgf0xBtqut3p6pX130z6VuWtCMCN0xWf69I9uss4F46my97tMVx9slkWER7ju10uPSQjLOJ1xGA5dkj+1yzaX5B9LMAYACBu+cQaAiamB3dcUaLve6k1mPLLqhV9pXbX2dZN1LhitGeo6Q5bFvinfla5kZ1xIxzBkaHpWXkjHCMSktBxdM/YkJR0ShCY749g6DQAIO+6sHgC+kT1GL2z7MKB24dCbK+1k1Qu/0rrOC6D3ps/OMtQlRMV0eLy3bdE7DsOh2bmTQ5JlsVVhdkGfSegxKS1HE1Ozbc34CgCAxArZgBDpiNRp2WO7bHNa9tiwnQj19Ep7cnQcWfVssCsEyV666tPsYjtjb9qi91pXjqxeKTNk6LTssbanvD+Uw3BoTFKmjs0YqTFJmQRjAABb9I1Llei11hOdpZUlOjhLiyGpMMwnQj290j579GROiGyQHIJVya76LKsP/L6wsvoajUvJsmJKCNChK0eJUdHymj6tqd6uxpZm5SdmaFrmSC0sXa3yhloZklKi4lTvbVSD1yND0vBYlyam5sjd0qj0mARNz8rrMytjAAD0NXxDDiCzRh+tc0aO1/Idm1XT2GDridCktBydlj1WSys3fV1yuXOGDBVmF3Dfhk2GREX3iz4RPq0rRwc7tAbfdeNPFQAA6D0CsgEm0hFpa42fVutqK7qtM9XKlKmiyhKNTkwjKLNBYrT1K2Rd9RloHajWtgAAAAMZ+8NgOZ/p06Ly4qBft2hLcZfp0hEaSSHIrNdVn4cnZSo+0tltH3ERTh1+yCoNAADAQENABstRh6x/yXelt0v/3RvdJWdxGA7lJnafvCWPjHcIMZ/pU2ndTq2p3qbSup1cEAIA2IIti7Acdcj6F4fh0Pm5UyxLd95dchavz6uPd1V2289Huyrl9XlJBoGQWFdboUXlxW0uHiU74zQ7dzJbpwEAYcXlZ1gusRcJHXrzWvQPy3ds7ibNS9u2gNXW1VZoQcnKdiv5uz37tKBkpdbVVtg0MwDAYERABsuZMmx5LXrGZ/r0j7L3LevvqbL3u9z6VdPYEHBfwbQFAhHIPa7czwoACCcCMliuobnRlteiZ0rrqrXP67Gsv71ej0rrqjt9Pi16SMB9BdMWCEQg97hyPysAIJwIyGA5Vy8SRPTmteiZz9w7w9pn9hBXwP0E0xYIRKD3qXI/KwAgXAjIYLl8V7qSe5BKvbvsfBgY9jQHvhoXTFsgEIFe9OHiEAAgXAjIYDmH4dDs3MlBv6677HwIjVAUX+6qz2BOdDkphtUCuWDExSEAQDhx9ouQmJSWo9Oyx8oIIEmHIUOnZY8l1bRN8iw+8TS66TM3MTXg1C25iamWzAloFcgFIy4OAQDCiW8chMS62goVVZbIDCDBuSlTRZUlpJq2SXn9V5b2Z3bT52Z3TcBp7zeTWAEAAAxwBGSwXCBppTtCqml7hCJ5QVd9lro7z8DYm7ZAIEh7DwDoawjIYLlA0kp3hFTT9gjFfVrc+4W+irT3AIC+hoAMlqvrQTBmxWvRM/mudCVZGEB1lxDhcFdmwH0F0xYIBGnvAQB9DQEZLNfgabLltegZh+HQ+blTLOuvu4QIY5IyFBfp7LafuEinxiRZnwESgxtp7wEAfQ0BGSw3JCraltei5yal5eiasScpLiKqx30kOWN1zdiTus2W6TAc+n7+1G77+37+VDLdwXKkvQcA9DWc7cByydHBF4W24rXoPcMINCG9Ak5d35GuAsC4iKiAAjugJ0h7DwDoayLtngAGntYr0MEm9uCqtH3W1VZoQcnKoF5zaOr6Os9+LShZGXAwNSktRxNTs/VZ3U5/NsXDXZkak5TByTAAABg0OOuB5QK5At0Rrkrbw2f69Fz5Wsv6CyZluMNwqCB5mL4zcoK+M3KCxiYP5XcAIUXaewBAX8OZDzDIlblrVGdhRjlShqMvI+09AKCvISCD5XymT0+VvR/0654qe5+r0jYId2FowE6kvQcA9DUEZLBcaV219no9Qb9ur9ej0rrqEMwIXaEwNAYT0t4DAPoaAjJY7jP3Tltei54Jd2FowE6kvQcA9DUEZMAgF+7C0AfzmT5t2v2l/rXtQ/1r24cq2V3FtlWElMNwaEr6iC7bTEkbQXIZAEDYkPYelstP7PmV5d68Fj03KS1Hp2WPVVFlSY/7MGSoMLsg4Pph62or9FTZ+222t75WsVFxkU59P38qdcgQEj7Tp7U127tss7Z2u84dNYGgDAAQFnzbwHK+dhWqwvNa9Ny62opeBWOSZMpUUWWJ1tVWBDTegpKVHd5ruM/r0YKSlQH1AwSLLIsAgL6GgAyWe3/nNltei54Jdx2yQLNw/uMzsm7CemRZBAD0NWxZhOW+atpry2vRM6GqQzYmKbPD5z+r2xlQFs59LR59VrdTBcnDLJsbAuMzfSpz18jt2a/EqGh5TZ/WVG9XY0uz8hMzNC1zpBaWrlZ5Q60MSSlRcar3NqrB65EhaXisSxNTc+RuaVR6TIKmZ+Up0tE3vm7IsggA6Gv6xjckBpSU6DiVN/T8tQivcNchK3UHXtqg1F1NQBZm62ortKi8uNNtfR/uqtTibevbHNvb4m7zePv+Om3/os7/ePHW9SrMLtCs0UdbPt9g5bvSFR/p7PKiQHxkNFkWAQBhw5ZFWC4nPsWW16JnEqOi+0WfCL3We/u6u8cqWK33Fy7esr77xn0C97ICAMKHgAyWS4rp+Vaf3rwWPWPKCGufh7s63srY27boHZ/p06Ly4pCOsbRyk7w+b0jH6E6Zu6bbLbN7vR6SegAAwoaADJZL6qboaqhei55paG4Ma59jkjLkDOB+IqcjUmOSMqycFroQSPbB3jJlavmOzSEdozsk9QAA9DUEZLBc6z0aweK+DXuEInlBd31avyaH3gpXAFLT2MMbTC1CUg8AQF9DQIaQaGoJfltSU0tzCGaC7uS70hXXgwC6M/GRzi4D69K6ajUFsG3N4/OqtC7wBCDonXAFIOkxCWEZpzOBXDDq7ncYAAArEZDBcpt2V8nbg/pRXtOnTburQjAjdMfaFauue/vMvTPgnoJpi97Jd6UrOcRbhg0Zmp6VF9IxrMEaLgAgfAjIYLnV1dtseS16JpAkB8HY620iIUI/5DAcmp07OaRjFGYX2F6PLLCkHvwOAwDCh4AMluvJdkUrXoueqQtBIoeu+hzjCjxRRzBt0XuT0nJ0zdiTLF8pM2TotOyxfaIOGUk9AAB9DYWhYbnRiWnasOuLHr8W4VXfZP2JZ1d9Hp6UqWhHZLf3kTkdETo8ibT34TYpLUcTU7NV5q6R27NfiVHR8po+ranersaWZuUnZmha5kgtLF2t8oZaGZJSouJU721Ug9cjQ9LwWJcmpubI3dKo9JgETc/Ks31lrBVJPQAAfU3f+IbEgJId57LltegZK7crBtpnhMMhdXObYaQjwsIZIRgOw6ExhwTDR6Zkt3l83fhTwzkly7TeK9dViv/k6DiSegAAwoYti7BceUOtLa9FzxiG9QkMuuqzzF2jfQEEgfsozosQcBgOTUkf0WWbKWkj5DD4egQAhAffOMAgd7jL+m2BXfUZzL053McDq/lMn9bWbO+yzdra7fL1IFMsAAA9QUAGy/Vmqw/bhMJvTFKG5XXIxiR1nowjmHtzuI8HVitz13S5XVGSdjftY3UWABA2BGSwnGn2fAtcb16LnnEYDn0/f6pl/V2SP7XL7V75rnQlBRBoJTljCdBhObIsAgD6GgIyWK43xXwpBGyP1nTncRFRPe4jyRmra8aepElpOV22cxgOnZ87pdv+zs+dwn08sFxCVIyl7QAA6C2yLMJyu5t6XteqN69F77SmO/+sbqdK3dWSDtwLlu9KU3n9V9rdtE97mpuU4IxWkjNOuYmpKq//Sm7Pfrm+Xs0KNIBqDQCfKnu/XUbG+EinLsmf2m1gB/SEIdPSdgAA9BYBGSyXEtPzorK9eS16z2E4VJA8TAXJw9ocPzQFenfHA9FZADgmKYOVMYSMu7nR0nYAAPQWARksl5fQ8/t+evNa9J7P9IVlhaxVZwEgECoNniZL2wEA0FsEZLDcF/vqevXaI1Ozu28Iy62rrWi3hfC1io2dtjdkyDxoW1eyM06zcyez1RB92pCoaEvbAQDQW+wLguU++qrSltei59bVVmhBycp293N1xTzkHpvdnn1aULJS62orrJ4eYJnk6MC2RQfaDgCA3iIgAwY5n+nTc+VrLetv0ZZiiuqiz8p3pSvZ2XWwlRwdR8kFAEDYEJDBclmxLltei54pc9eozsKaSxTVRV/mMByanTu5yzazR08msQwAIGz4xoHlRvfiynJvXoueCUUBXIrqoi9rLbtw6EpZcnRcQLX0AACwEkk9YLnUmHhbXouecTlj+0WfgJVayy6UuWt6lSkUAIDeIiCD5fJd6YqPdAaVIEI6UBCY+zbCL9+VriRnrGXbFrn/Bv2Fw3D0qpYeAABW4FIg+hDD7gkMSg7DofNzp1jWH/ffAAAABI6zJliuzF0T9OqYJO31NpEMwiat99TERUT1uI8kZyz33wAAAASJgAyW601CB5JB2MswAl+lZD0TAACg97iHDJbrTUKHcCWD8LR49GzZWhXXVqjZ9Mn3dZljQ1KUDEVFRMphOOSKilFKdLzykjKUHe9SeX2tJOlwV6bGJGUMmK15rYWhg2Ee8rjOs18LSlaySoZ+w2f6SOoBALAdARks1/OkHtFhSQbxyMYV+mhXZYfPmZI8MuVpaZYkNXib9MV+tz6q29Gm3WsVGxUf6dQl+VP7ffARisLQE1OzObFFn7autkKLyou127PPfyzZGafZuZP7/d9pAED/whkT+pBD11ys11UwFqy9Xo8WlKzUutoKS/qzC4WhMdi0rggfHIxJ0m7PvgHxdxoA0L8QkMFyPU/q4QnpibynxWNZMHaw58rXymf6LO83XOoOOSntq30CVvCZPi0qL+6yzaItxf367zQAoH8hIIPl+mpSj8VbPgxJv3We/f16RajB09Qv+gSsUOauabcydihWeQEA4URABsv11aQeX+6tC1nfu5v674rQkKjoftEnYIVAL/qQ8RUAEC4EZLBcvitdyc64oF+XHB0X0qQee5pDt2oTyr5DLTk6+D8rO/oErBDoRZ9wZXwFAICADJZzGA7Nzp0c9Otmj54c0sx8CdExoevb2X9XhPJd6Uqy8OQz1IE10BuBXDDidxgAEE4EZAiJSWk5umbsSe1OfOIjnYqPdLY5lhwdF5baVUNjXSHrO6kHK4J9hcNw6PzcKZb1F+rAGuiNQC4Y8TsMAAgn6pAhZCal5eiolGFavmOzahoblB6ToOlZeZLU7likI/S/irNGT9CKqjLL+036uqAsgP6h9YJRuzpk0XGaPZo6ZACA8CIgQ8h0VHj1tYpPJKlNWvyllZvCUozVGeHUUSnZlqe+Pz93Sr++mk5haAxGnV0wCsfFIQAADsY3D0KitfDqoTqqT9ZajDUc2xbnHnGKZcWh4yOduiR/ar+/mh6qwtBjkjIt6xOwWkcXjMJ1cQgAgIMRkMFygRRe7Ui4VlbmHnGKPC0ePVu2VsW1FWo2ffLJlCnJkBQlQ1ERkXIYDrmiYpQSHa+8pAxlx7tUXl8rSTrclakxSRkDYhUoFCn7+3MZAAx8nV0wCufFIQAAWhGQwXKBFF7tSDhXVpwRTl1acLwuDfJ1R6Zkh2Q+dgpFyv7+XAYAA1sgF4zYdgsACCe+bWC53hRUpRhr+IUiZX9/LgOAgS2QC0atF4cAAAgHAjJYrjcFVSnGGn6JUdZ/5qHoE7BCoBd9uDgEAAgXAjJYLpDCqx2hGKs9DJn9ok/ACoFe9OHiEAAgXAjIYLlACq92hGKs9qgPwf1eoegTsEIgF4y4OAQACCfOfhESrYVXDz3xiY90Kj7S2eZYcnQcWc1sFIqVAFYX0FcFcsGIi0MAgHAiyyJCZlJajiamZqvMXSO3Z79czlj/VedDj3HyY598V7qSnLGW1SJjdQF9XesFo0PrkCVHx2n2aOqQAQDCi4AMIeUwHB2msadocN/hMBw6P3dKh3WZeoLVBfQHnV0w4ncXABBuBGQA/CsGT5W9r71eT0CvMWR8XU77AFYX0N90dsEIAIBwIiDDoORp8ejZsrUqrq1Qs+mT7+vQwpAUJUNREZFyGA65omKUEh2vvKQMZce7VF5fK0k63JWpMUkZA+pqeuuKwWd1O1XqrpZ04H3mu9JUXv+Vdjft057mJiU4o5XkjFNuYqrK679idQEAAKAXDNM0yU9tgfr6erlcLrndbiUmJto9HXThkY0r9NGuyl73Ex/p1CX5U1kRAgAAQBvBxAZczsagYlUwJkl7vR4tKFmpdbUVlvQHAACAwYeADIOGp8VjWTB2sOfK18pn+izvFwAAAAMfARkGjcVbPgxJv3We/Spz14SkbwAAAAxsBGQYNKobG0LWt9uiGl4AAAAYXMiyiEEjIyZBJaoKSd8uZ2xI+h3ofKavXVbHgZa9EgAAoCsEZBg0Zo2eoBVVZZb3m/R1yncEZ11tRbu6Z69VbCR7JQAAGFS4DI1BwxnhVGJUjOX9HpM+khWdIK2rrdCCkpUdFqEmeyUAABhMOIvEoOFp8ai+udHyfj+o2UaWxSD4TJ+eK1/bbTuyVwIAgMGAgAyDBlkW+4Yyd43qAkiCwucKAAAGAwIyDBpf7q0LWd+7m/aFrO+BJpiMlGSvBAAAAx1JPf5/e/cfHmV15338M5NkAonJJIH8ICEICYEEqiDwQINSoIZF13W7thblQUuttXYvulvg0WJ3pWqt0FrFqlXB2q2uXbdkvdquhVKLCBQVgSSgFSHEIJLyIxAgM+FHMknmfv7AjAwkk5lkZu65k/frunJd5p6TkzN4GO7vfc75ftFvnG5tsWTf0dRZ1sMi52DVuk/oVMtZnW5tUYojUWmOJBWmDlKt+4RcnnNyfprYJJizdKFkpCR7JQAA6OsIyNBvpCQOkJrdkenbkRiRfqOpq6yHXbHJJkOG7/t0R5LmFE7sNjtikTNTaY6B3W5bJHslAADoD9iyiH4j03FZxPpOTbD2Sk6grIdduTAYk6RTnrNBZUe02+y6pXBSt/3fUjiJ7JWIKK/hVXVjvbYfO6DqxnqSyAAATMEKGfqNSN7b2y4KTqwk2KyHwSrfX6nxg/ICBlMTBufr7pJpl6zISaIOGaKiqqFO5bWVOuX57PxnsKu8AACEEwEZ+o2GCCbecFv4DFmwWQ+DdarlrGpcxzU6LTtguwmD8zV+UN4lZ9ZGp2WxMoaI6lgRvljHKu/dJdMIygAAUUNAhn4ja0CK9uhoRPq2cvKJSGQyDLZPu82u4vQhKk4fEvYxAJ3xGl6V11YGbBPMKi8AAOHCvzboN24uGBeRfq2efCIlYYAl+gTCocZ13G+bYmc6VnkBAIgGAjL0G444h67MyAt7v1ZPPmFEIJFBJPoEwiHYmoHUFgQARIt17yKBHlgwdnrYgrLkeEefOGtS4w7/SkAk+gTCIdiagX2ltiAAIPZxhgz9zoKx03Xac07LK/+khrbAZ53skgbaEzQiZZBGpA7Wh43nz6CNyxiqa4eOUrzd+n+FDCP8GSIj0ScQDsHWDOwLtQUBANYQ0ytkDz74oGw2m99XcXGx7/Xm5mYtWLBAgwYN0mWXXaavfOUrqq+v9+vj4MGDuuGGG5SUlKSsrCzde++9amtr82uzadMmTZgwQYmJiRo5cqRefPHFaLw9mOSZ3Zv1/7b9rttgTJK8ks54W/WB66j+UPeBapsaVNvUoN9+skvf2/b7bmtuWUFSfPhvPCPRJxAOaY6ksLYDAKC3Yjogk6SxY8fqyJEjvq+33nrL99qiRYv0hz/8Qf/zP/+jzZs36/Dhw/ryl7/se729vV033HCDPB6P3nnnHb300kt68cUX9YMf/MDX5uOPP9YNN9ygmTNnateuXVq4cKG++c1v6vXXX4/q++yrOiu8amYx1md2b9b7Jw+Fpa8zbZ6gCiHHulRH+BNwBNun1/Bq76kj+t8D7+l/D7ynPaeOUpwXEVWYOkg22QK2scmmwtRBURoRAKC/i/n9VvHx8crJybnkusvl0i9/+Uu98sor+uIXvyhJ+tWvfqWSkhK9++67+vznP68///nP+vDDD/XGG28oOztb48eP18MPP6wlS5bowQcflMPh0MqVKzVixAg9/vjjkqSSkhK99dZbeuKJJzR79uyovte+prPCq8nxDknyKwYcrWKsnnZP2IKxC62urbB0iuz0xPCvBATTZ1VD3SWFof9Yt5vC0IioWvcJGd0UcjdkqNZ9ottaegAAhEPM30HW1NQoNzdXBQUFmjdvng4ePChJqqysVGtrq8rKynxti4uLNWzYMG3dulWStHXrVl1xxRXKzv7sH9XZs2fL7XZr9+7dvjYX9tHRpqOPrrS0tMjtdvt94TMdhVcvTi99ps3jdwMufVaMNdIrTa/ufy8i/TZ6zlk6Rfb5FYPwCWZ1oWN+XDwXpL6z8ojYFGyNvEjU5wMAoDMxvUI2ZcoUvfjiixo9erSOHDmihx56SNOmTdMHH3ygo0ePyuFwKC0tze9nsrOzdfTo+cQLR48e9QvGOl7veC1QG7fbrXPnzmngwM4L/i5fvlwPPfRQON5mnxNM4dXORLoY67Hmpoj0K1n75u38ikH4dLe64DW8Wl1b0W0/Vl95tDKv4VWN67hcnnNKTUhUm+HV9mOfqLm9VUWpWSrNHq4Xq99VbVODbJIyEpLkbmtWU5tHNklDBzo1flC+XO3NyhyQohm5I2MmAU6wNfKopQcAiJbY+BeyC9dff73vv6+88kpNmTJFl19+ucrLy7sMlKLl+9//vhYvXuz73u12Kz+fLVZScIVXO9NRjDVS24SyBqRoj45GpG+nw9z52BuRCCYD9VnjOq7GIH5nx8oj28aiq7Otxhd67+QhvXpgp9+1M+0uv+8/OdeoT/7W6Pv+1Y93qiyvWDcXXBX28YbKFuTjh2DbAQDQW5Z69JyWlqZRo0bpo48+Uk5OjjwejxobG/3a1NfX+86c5eTkXJJ1seP77tqkpqYGDPoSExOVmprq94XzenODH8mVppsLxkWk3zTHQBU5MyPSdzREIpgM1Gco/4+tvPJoRV1tNe4tQ4bWH9qjV/fv7L5xhLmDrC8WbDsAAHrLUgHZ6dOnVVtbqyFDhmjixIlKSEjQhg0bfK9XV1fr4MGDKi0tlSSVlpbqr3/9q44dO+Zrs379eqWmpmrMmDG+Nhf20dGmow+Erjc3+JFcaXLEOcJWFPpCtxROsvS2umifIQvl/7GVVx6tpqdbjUPxxqG9avO2dd8wgoKdU8w9AEC0xPRd5D333KPNmzfrwIEDeuedd3TTTTcpLi5Oc+fOldPp1J133qnFixdr48aNqqys1B133KHS0lJ9/vOflyT93d/9ncaMGaPbb79d7733nl5//XXdf//9WrBggRITz9dJ+va3v639+/fre9/7nvbu3atnn31W5eXlWrRokZlv3dKKnJlK70ENn/TEpIivNC0YOz1sQVlyvEN3l0yzfDbASJ0h60ooASCpx6Onp1uNQ2HI0KbDH0X0d3QnmM+naHwWAQDQIabPkP3tb3/T3LlzdeLECWVmZuqaa67Ru+++q8zM8/9QPvHEE7Lb7frKV76ilpYWzZ49W88++6zv5+Pi4rRmzRr98z//s0pLS5WcnKz58+frhz/8oa/NiBEjtHbtWi1atEhPPvmkhg4dqhdeeIGU971gt9k1p3CiVu3ZEtLPzSmYGJWVpgVjp8vT7tFvaipU2VCnVsMr76eJsG2SEmRTQly87Da7nAkDlJGYrJFpWcpLdqrW3SBJGuXM1ui0LEuvjHWI9hmyUAJAUo9HT7S2hx6PYHKdYATz+RStzyIAACTJZhgGJ5fDwO12y+l0yuVycZ7sU0HXIUtM0pyCyNchQ+eqG+u14q8bum8YgsVXXNtlILX92AH9svqdoPq5c/RUTc4aHsaRoSuRmAed+eqICSobWhzx39Odzj6f+CwCAIRLKLFBTK+QwdomDM7X+EF5vvTZzguSX1x8jafR5ilyZirNMTCozIfB6G67F2fIYlPHVr5Iblu0yaYZuSMj1n8ouvp84rMIABBtBGSIKLvN3ulKCdvQYofdZtcthZNC3mLale62ewUbAFo9e6XV9HSrcSjK8opjph6Z1PXnEwAA0cSjQACaMDhfd5dM820pDYbtotQc6YlJQSU5sdvs+j+Zw7vt//9kDme1Iso65kFPkvIEYpNNs/JKYqIOGQAAsSZ2HlUCMFXHFq59jfWqdp0vFTHKma0i52DVuk/oVMtZnW5tUYojUWmOJBWmDlKt+0TI2728hlc7jh/ott2O4wf05RHjCMqi7OKtfKkJiWozvNp+7BM1t7eqKDVLpdnD9WL1u6ptapBNUkZCktxtzWpq88gmaehAp8YPypervVmZA1I0I3dkTK2MAQAQS0jqESYk9QCCE0ryiEDJQQAAAGJVKLEBj54BRFUo6dWjlYodAADALARkAKKKLIsAAACfISADEFUdWRa7Q5ZFAADQH3DKGv2Sp92j39RUqLKhTq2GV14ZMiTZJCXIpoS4eNltdjkTBigjMVkj07KUl+xUrbtB0vlkF6PTskg40QPBptm/pXASf74AAKDPI6lHmJDUwzqe2b1Z75881Ot+kuMduq1oSrdp3tG5qoY6/bpmm860efyu8+cKAACsLpTYgIAsTAjIrCFcwdiFgqm9hc61edv05qFq7Tpx/v/JuIyhunboKFKkAwAASwslNuCuB/2Gp90T9mBMklbXVmj8oDy214WosxWy2qYGvX7oQ1bIEBVew+urtxZKLT0AAMKJgAz9xqv734tIv42ec6pxHadeVgiqGuq6PEN2ps2jVXu2sPKIiKpqqFN5baVOec76rqU7kjSncCLzDgAQVTwKRL9xrLkpYn1TLyt4XsOr1bUV3bZbXVshr+GNwojQ33Q8ELgwGJOkU56zWrVni6oa6kwaGQCgPyIgQ7+RNSAlYn1TLyt4Na7jagwigO1YeQTCyWt4VV5bGbBN+f5KHgYAAKKGgAz9xs0F4yLSL/WyQhPKaiIrjwi3GtfxS1bGLnaq5SwPAwAAUUNAhn7DEefQlRl5Ye+XelmhCWU1kZVHhFuwQT4PAwAA0cJdJPqVBWOnhy0oS453kHiiB4qcmUoLItBi5RGREGyQz8MAALAWr+FVdWO9th87oOrGekttPSfLIvqdBWOny9Pu0W9qKlTZUKdWwyuvDBmSbJISZFNCXLzsNrucCQOUkZiskWlZykt2qtbdIEka5czW6LSsPrcy5jW82tdYr2rXMUnn32eRc7Bq3Sd0quWsTre2KMWRqDRHkgpTB6nWfSLklOF2m123FE7qMstiB1YeEQlFzkylO5ICbltMT0ziYQAAWEhVQ51W11b4nVFPcwzULYWTLPHgnMLQYUJhaFhdZ3XBArHJ9mkYe16oKcO7+n3J8Q7qkCGiApVdkCj2DgBWEquf6aHEBjx+BuD7MAs2GJPkF4xJPUsZ7vVeup2gs2tAOE0YnK+7S6Yp3ZHkdz09MYlgDAAsxGt49euabQHb/Lpme8xvX2TLItDPBVsXLFjl+ys1flBewO2GgZ5mnfO2URgaETdhcL7GD8pTjet4yNtuAQCxYV9jfbcPk8+0tWhfY72K04dEaVShIyBDv8QZss8EWxcsWB0pw0enZXf6utfw6uVunmZJ0ss127oN7IDesNvsXc5TAEDs6zjzHkw7AjIghjyze7PeP3mo09cMSR4Z8rS3SpKa2lr0t3Muvd942K/dH+t295mzTpFI7x2oz+rGYzobxNbIs20eVTceU0l6TjiHBgAAEFN49IyI6iwFqZlpSQMFY6E60+YJ+cxULIpEeu9Afe5z1QfdTyhtAQBA/zLKGdwuh2DbmYUVMkRMVUOdymsr/dJLJ8c7JMlvv2+o2fl6ytPuCVswdqHVtRWW3lrXURcsXNsWSRkOAACiYXRalpLjHQHPkSXHOzQ6LSuKowqdNe8gEfM6kjZcXOvnTJvnkr80PcnO1xOv7n8vIv02es6pxnU8In1HQ0ddsHCZUzAxYHA62hn8h2IobYFQWbmIKADg/D3MbUVTAra5rWhKzD80Z4UMYec1vCqvrQz554LJztcbx5qbItKvFJlzWNE0YXC+ZuWVaP2hPT3uwyabyvKKu13pHJWW3e3TLElKinNoFAkXECGdreBHa7UeABA+HaVMVn9UocZWaxaGJiBD2NW4jl+yMhaM7rLz9VbWgBTt0dGI9B2Jc1jRVNVQ16tgTDpfl2z9oT0qSB0c8MOv42lWoCKOknT7qNh/ogVr6qrsQsdqPSUXAMBarF7KxBqjhKX0ZrUokitNNxeMi0i/aZ/+pbeqSNQh627rV8fTrI4zhRdKjndwQ4yICWYFP5g5DACILR2lTCZnDdfotGzLBGMSK2SIgN6sFkVypckR59CVGXlhT+xxS+EkS/2lv1i065B16Hiata+x3ldHpC/Vd0NsCmYFP9Kr9QAAXIiADGFX5MxUuiMp5G2L0cjOt2Ds9LClvqcOWe/7tNvsKk4fEtPFGtG3BDs3rX4uFABgHQRkCDu7za45hRO7PSN0se6y84XLgrHT5Wn36Dc1FapsqFOr4ZVXhgxJNkkJsikhLl52m13OhAHKSEzWyLQs5SU7VetukNS3VnKiXYcMMFOwc5M5DACIFgIyRETHGaGg6pAlJmlOQXQzmzniHPpa8VR9LcSf+1xGXkTGYybqkKE/CWYFnzkMAIgmAjJETFcZbyRZNgtOX9RRhyzUFc2uRGulE+iJYFbwmcMAgGiyGYZhmD2IvsDtdsvpdMrlcik1NdXs4QAhq2qo069rtnVbH6yDTbZPN3qeZ8ZKJ9BTndYhYw4DAMIklNiAgCxMCMjQF3gN7yVZD4ucg1XrPqFTLWd1urVFKY5EpTmSVJg6SLXuE6x0wrK8hpfVegBARBCQmYCADAAAADBHrD1kCyU24AwZAAAAAMvqdBu6I0lzCq2xDZ29GQAAAAAsqaqhTqv2bLkke+4pz1mt2rNFVQ11Jo0seARkAAAAACzHa3hVXlsZsE35/kp5DW+URtQzBGQAAAAALKfGdTxgXUlJOtVyVjWu41EaUc8QkAEAAACwHJfnXFjbmYWADAAAAIDlOB0Dw9rOLARkAAAAACynyJmpdEdSwDbpiUkqcmZGaUQ9Q0AGAAAAwHLsNrsmZV4esM2kwZebWo8sGLE9OgAAAADohNfwquL4JwHbVDR8EvNZFikMjYjqrGq6pJiqpA4AAADrCSXL4ui07CiNKnQEZIiYzqqmJ8c7JEln2jy+a1aqpA4AAIDYQJZFIICuqqafafP4BWOStSqpAwAAIDaQZRHoQjBV0ztjhUrqAAAAiA1kWQS6EMx+3s5YoZI6AAAAYoPdZtecwokB28wpmBjzuQpie3SwpN7s0431Pb4AAACIHRMG5+vukmmXrJSlJybp7pJplshRQFIPhF1v9unG+h5fhJfX8GpfY72qXcckSaOc2RqdlhXzT7IAAEDsmDA4X+MH5Vk2izcBGcKuYz9vqNsWrbDHF+FT1VCnX9ds80vy8se63UqOd+i2oimWeKIFAABig91mj+nU9oFYI2yEpQSzn7czVtjji/DoyMJ5ccZN6XwmTrJuAgCA/oK7X0REV/t5k+MdvlpkHay0xxe95zW8Wl1b0W271bUVZN0EAABB8RpeVTfWa/uxA6purLfUPQRbFhExXe3nlWTZPb7ovRrXcTUGkbyl0XNONa7jlt1+AAAAoqOqoU7ltZV+x2XSHUmaUzjREg/8CcgQUV3t5+Umu/8KJZMmWTcBAEAgHccgLnbKc1ar9myxxC4sliUARFUomTTJugkAALriNbwqr60M2KZ8f2XMb18kIAMQVUXOTKUFEWilXbDFFQAA4GI1ruPdZvU+1XJWNa7jURpRzxCQAYgqu82uWwonddvulsJJnC0EAABdOtF8JqztzMLdDoCo68jCeXHGTel8Jk4r7PcGAADmOtB0IqztzEJSDwCm6MjCua+xXtWuY5KkUc5sjU7LYmUMAAB0zxbmdiYhIANgGrvNruL0ISpOH2L2UAAAgMVkDUgJazuz8BgaAAAAgOXMyB0pWzfLXzbZNCN3ZJRG1DMEZAAAAAAsJ94er7K84oBtyvKKFW+P7U2BBGQAAAAALKkgdXCvXo8FBGQAAAAALIfC0AAAAABgEgpDAwAAAIBJXJ5zYW1nltg+4QZEiKfdo9/UVKiyoU6thldeGTJ0vkxFgmxKiIuX3WaXM2GAMhKTNTItS3nJTtW6GyRRLwsAAMBsqQmJYW1nFgIy9DvP7N6s908e6vQ1Q5JHhjztrZKkprYW/e2cS+83HvZr98e63UqOd+i2oimaMDg/0kMGAADARYwgKz4H284sPN5HvxIoGAvVmTaPVu3ZoqqGurD0BwAAgOA1tTaHtZ1ZCMjQb3jaPWELxi60urYi5rP3AAAA9DVOx8CwtjMLARn6jVf3vxeRfhs952I+ew8AAEBfU5g6SLZutiPaZFNh6qAojahnCMjQbxxrbopY37GevQcAAKCvqXWf+DQtW9cMGap1n4jSiHqGgAz9RtaAlIj1HetL4QAAAH0Nae8Bi7m5YJw2H60Je79pjoEqcmaGvd/+wGt4ta+xXtWuY5IoJwAAAILXV86QEZCh33DEOXRlRl7YE3vcUjiJAKIHqhrq9OuabTrT5vFdo5wAAAAIVscZskDbFjlDBsSYBWOn68qMvLD0lRzv0N0l0wgceqCqoU6r9mzxC8Y6UE4AAAAEo6+cIWOFDP3OgrHT5Wn36Dc1FapsqFOr4ZX307/ONkkJsikhLl52m13OhAHKSEzWyLQs5SU7VetukMTWut7wGl6trq3ott3q2gqNH5THnzEAAOgUZ8gAC3PEOfS14qn6Wog/97kwra71ZzWu42oM4oOxo5zA6LTsKIwKAABYTV85Q8ajZwBRFcpTqlh/ogUAAMxT5MxUuiMpYJv0xKSYT75GQAYgqkJ5ShXrT7QAAIB57Da75hRODNhmTsHEmD/+ENujA9DnFDkzlRZEoEU5AQAA0J0Jg/M1K69ENtn8rttk06y8EkskXyMgAxBVdptdtxRO6rYd5QQAAEB3qhrqtP7QnkuyLRoytP7QHktkbeZuB0DUTRicr7tLpik53nHJa5QTAAAAwfAaXpXXVgZsU76/Ul7DG6UR9QxZFgGYYsLgfI0flKd9jfWqdh2TRDkBAAAQvBrXcZ3ynA3Y5lTL2ZjP2kxABsA0dptdxelDVJw+xOyhAAAAi+krdch4DA0AAADAcqhDBgAAAAAmoQ4ZAAAAAJiEOmQAAAAAYCLqkAEAAACASahDBgAAAAAm6Ct1yAjIAAAAAFhOKHXIYhkBGQAAAADLoQ4ZAAAAAJiEOmQAAAAAYBLqkAEAAACASahDBgAAAADoFQIyAAAAAJZD2nsAAAAAMAlp7wEAAADAJKS9BwAAAACTpCQMCGs7sxCQAQAAALAcm4ywtjNLvNkDANB/tXnb9Oahau06cUiSNC5jqK4dOkrxdj6aAABAYCdbgtuKGGw7s3DX08e0edu06fBHOt7cpMwBKZqRO5KbW8SkV/fv1PpDe/yu1TY16Lef7NKsvBLdXHCVSSNDf8HnJQBY24GmE0G3m5pTEOHR9Bz/8lzkmWee0U9/+lMdPXpU48aN09NPP63JkyebPaygvLp/p944tFfGBcuyr368U2V5xdzcIqZ0FoxdqOM15i0ihc9LAOgDbGFuZxLOkF1g9erVWrx4sR544AFVVVVp3Lhxmj17to4dO2b20LrVcYNrXLRH1pCh9Yf26NX9O00aGeCvzdumNwIEYx3WH9qjNm9bFEaE/obPSwDoG7IGpIS1nVkIyC6wYsUK3XXXXbrjjjs0ZswYrVy5UklJSfqP//gPs4cW0Pkb3L0B27xxaC83t4gJmw5/FPTR2k2HP4roWND/8HkJAH3HyMsyw9rOLARkn/J4PKqsrFRZWZnvmt1uV1lZmbZu3XpJ+5aWFrndbr8vs5y/wQ18i2vI4OYWMeF4c1NE2gLB4PMSAPqOH//19bC2MwsB2acaGhrU3t6u7Oxsv+vZ2dk6evToJe2XL18up9Pp+8rPz4/WUC8R7E0rN7eIBZkhbBsIpS0QDD4vAaDvCHbHTWwnvScg67Hvf//7crlcvq+6ujrTxhLsTSs3t4gFM3JHBn22dkbuyIiOBf0Pn5cA0Hf0kZweBGQdBg8erLi4ONXX1/tdr6+vV05OziXtExMTlZqa6vdllvM3uIGnmk02bm4RE+Lt8SrLK+m23ay8ElKQI+z4vASAvuP+cdeHtZ1ZCMg+5XA4NHHiRG3YsMF3zev1asOGDSotLTVxZN07f4NbHLBNWV4xN7eIGTcXXKVZAYIy6pAhUvi8BIC+Y2hqeljbmcVmGEasb6uMmtWrV2v+/PlatWqVJk+erJ/97GcqLy/X3r17LzlbdjG32y2n0ymXy2XaallndXVsslFXBzGrzdumNw9Va9eJQ5KkcRlDde3QUdwMI+L4vASAvuPuLa90+dqqaf83iiP5TCixAQHZRX7+85/7CkOPHz9eTz31lKZMmdLtz8VCQCadv8HddPgjHW9uUuaAFM3IHcnNLQB0gs9LAOg7/uY+pR+9t06Gzp8Zu3/c9aaujBGQmSBWAjIAAAAA5golNuAMGQAAAACYhIAMAAAAAExCQAYAAAAAJiEgAwAAAACTEJABAAAAgEkIyAAAAADAJARkAAAAAGASAjIAAAAAMAkBGQAAAACYhIAMAAAAAExCQAYAAAAAJiEgAwAAAACTEJABAAAAgEkIyAAAAADAJARkAAAAAGASAjIAAAAAMAkBGQAAAACYhIAMAAAAAExCQAYAAAAAJiEgAwAAAACTEJABAAAAgEkIyAAAAADAJARkAAAAAGASAjIAAAAAMAkBGQAAAACYhIAMAAAAAExCQAYAAAAAJok3ewB9hWEYkiS3223ySAAAAACYqSMm6IgRAiEgC5OmpiZJUn5+vskjAQAAABALmpqa5HQ6A7axGcGEbeiW1+vV4cOHlZKSIpvNZvZw+j232638/HzV1dUpNTXV7OEAQWHewoqYt7Ai5i0izTAMNTU1KTc3V3Z74FNirJCFid1u19ChQ80eBi6SmprKBy0sh3kLK2LewoqYt4ik7lbGOpDUAwAAAABMQkAGAAAAACYhIEOflJiYqAceeECJiYlmDwUIGvMWVsS8hRUxbxFLSOoBAAAAACZhhQwAAAAATEJABgAAAAAmISADAAAAAJMQkAEAAACASQjIYGmHDh3SbbfdpkGDBmngwIG64oorVFFR4XvdMAz94Ac/0JAhQzRw4ECVlZWppqbGxBGjv2tvb9fSpUs1YsQIDRw4UIWFhXr44Yd1YX4l5i1iwV/+8hfdeOONys3Nlc1m0+9//3u/14OZpydPntS8efOUmpqqtLQ03XnnnTp9+nQU3wX6m0DztrW1VUuWLNEVV1yh5ORk5ebm6mtf+5oOHz7s1wfzFtFGQAbLOnXqlK6++molJCRo3bp1+vDDD/X4448rPT3d1+bRRx/VU089pZUrV2rbtm1KTk7W7Nmz1dzcbOLI0Z/95Cc/0XPPPaef//zn2rNnj37yk5/o0Ucf1dNPP+1rw7xFLDhz5ozGjRunZ555ptPXg5mn8+bN0+7du7V+/XqtWbNGf/nLX/Stb30rWm8B/VCgeXv27FlVVVVp6dKlqqqq0m9/+1tVV1frH//xH/3aMW8RdQZgUUuWLDGuueaaLl/3er1GTk6O8dOf/tR3rbGx0UhMTDT++7//OxpDBC5xww03GN/4xjf8rn35y1825s2bZxgG8xaxSZLxu9/9zvd9MPP0ww8/NCQZO3bs8LVZt26dYbPZjEOHDkVt7Oi/Lp63ndm+fbshyfjkk08Mw2DewhyskMGyXnvtNU2aNElf/epXlZWVpauuukq/+MUvfK9//PHHOnr0qMrKynzXnE6npkyZoq1bt5oxZEBTp07Vhg0btG/fPknSe++9p7feekvXX3+9JOYtrCGYebp161alpaVp0qRJvjZlZWWy2+3atm1b1McMdMblcslmsyktLU0S8xbmiDd7AEBP7d+/X88995wWL16sf/u3f9OOHTv0r//6r3I4HJo/f76OHj0qScrOzvb7uezsbN9rQLTdd999crvdKi4uVlxcnNrb2/XII49o3rx5ksS8hSUEM0+PHj2qrKwsv9fj4+OVkZHBXEZMaG5u1pIlSzR37lylpqZKYt7CHARksCyv16tJkyZp2bJlkqSrrrpKH3zwgVauXKn58+ebPDqgc+Xl5fqv//ovvfLKKxo7dqx27dqlhQsXKjc3l3kLAFHS2tqqOXPmyDAMPffcc2YPB/0cWxZhWUOGDNGYMWP8rpWUlOjgwYOSpJycHElSfX29X5v6+nrfa0C03Xvvvbrvvvt066236oorrtDtt9+uRYsWafny5ZKYt7CGYOZpTk6Ojh075vd6W1ubTp48yVyGqTqCsU8++UTr16/3rY5JzFuYg4AMlnX11Verurra79q+fft0+eWXS5JGjBihnJwcbdiwwfe62+3Wtm3bVFpaGtWxAh3Onj0ru93/ozcuLk5er1cS8xbWEMw8LS0tVWNjoyorK31t3nzzTXm9Xk2ZMiXqYwakz4KxmpoavfHGGxo0aJDf68xbmIEti7CsRYsWaerUqVq2bJnmzJmj7du36/nnn9fzzz8vSbLZbFq4cKF+9KMfqaioSCNGjNDSpUuVm5urf/qnfzJ38Oi3brzxRj3yyCMaNmyYxo4dq507d2rFihX6xje+IYl5i9hx+vRpffTRR77vP/74Y+3atUsZGRkaNmxYt/O0pKRE1113ne666y6tXLlSra2t+s53vqNbb71Vubm5Jr0r9HWB5u2QIUN08803q6qqSmvWrFF7e7vvXFhGRoYcDgfzFuYwO80j0Bt/+MMfjM997nNGYmKiUVxcbDz//PN+r3u9XmPp0qVGdna2kZiYaFx77bVGdXW1SaMFDMPtdhvf/e53jWHDhhkDBgwwCgoKjH//9383WlpafG2Yt4gFGzduNCRd8jV//nzDMIKbpydOnDDmzp1rXHbZZUZqaqpxxx13GE1NTSa8G/QXgebtxx9/3OlrkoyNGzf6+mDeItpshmEY0Q8DAQAAAACcIQMAAAAAkxCQAQAAAIBJCMgAAAAAwCQEZAAAAABgEgIyAAAAADAJARkAAAAAmISADAAAAABMQkAGAAAAACYhIAMA9FubNm2SzWZTY2Nj0D/z4IMPavz48WH5/cOHD9fPfvYz0/sAAJiHgAwAEPNWrlyplJQUtbW1+a6dPn1aCQkJmjFjhl/bjiCrtra2236nTp2qI0eOyOl0hnW8M2bM0MKFC7ttt2PHDn3rW98K6+8GAFgLARkAIObNnDlTp0+fVkVFhe/ali1blJOTo23btqm5udl3fePGjRo2bJgKCwu77dfhcCgnJ0c2my0i4+5OZmamkpKSTPndAIDYQEAGAIh5o0eP1pAhQ7Rp0ybftU2bNulLX/qSRowYoXfffdfv+syZMyVJXq9Xy5cv14gRIzRw4ECNGzdOr776ql/bi7cs/uIXv1B+fr6SkpJ00003acWKFUpLS7tkTC+//LKGDx8up9OpW2+9VU1NTZKkr3/969q8ebOefPJJ2Ww22Ww2HThwoNP3dfF2Q5vNphdeeEE33XSTkpKSVFRUpNdeey2kP6sXXnhBaWlp2rBhgySpqalJ8+bNU3JysoYMGaInnngi6BU8AEDkEZABACxh5syZ2rhxo+/7jRs3asaMGZo+fbrv+rlz57Rt2zZfQLZ8+XL953/+p1auXKndu3dr0aJFuu2227R58+ZOf8fbb7+tb3/72/rud7+rXbt2adasWXrkkUcuaVdbW6vf//73WrNmjdasWaPNmzfrxz/+sSTpySefVGlpqe666y4dOXJER44cUX5+ftDv86GHHtKcOXP0/vvv6+///u81b948nTx5MqifffTRR3Xffffpz3/+s6699lpJ0uLFi/X222/rtdde0/r167VlyxZVVVUFPR4AQGTFmz0AAACCMXPmTC1cuFBtbW06d+6cdu7cqenTp6u1tVUrV66UJG3dulUtLS2aOXOmWlpatGzZMr3xxhsqLS2VJBUUFOitt97SqlWrNH369Et+x9NPP63rr79e99xzjyRp1KhReuedd7RmzRq/dl6vVy+++KJSUlIkSbfffrs2bNigRx55RE6nUw6HQ0lJScrJyQn5fX7961/X3LlzJUnLli3TU089pe3bt+u6664L+HNLlizRyy+/rM2bN2vs2LGSzq+OvfTSS3rllVd8AdqvfvUr5ebmhjwuAEBkEJABACxhxowZOnPmjHbs2KFTp05p1KhRyszM1PTp03XHHXeoublZmzZtUkFBgYYNG6bdu3fr7NmzmjVrll8/Ho9HV111Vae/o7q6WjfddJPftcmTJ18SkA0fPtwXjEnSkCFDdOzYsbC8zyuvvNL338nJyUpNTe2278cff1xnzpxRRUWFCgoKfNf379+v1tZWTZ482XfN6XRq9OjRYRkrAKD3CMgAAJYwcuRIDR06VBs3btSpU6d8K1y5ubnKz8/XO++8o40bN+qLX/yipPNZGCVp7dq1ysvL8+srMTGxV2NJSEjw+95ms8nr9faqz970PW3aNK1du1bl5eW67777wjIOAEB0cIYMAGAZM2fO1KZNm7Rp0ya/dPdf+MIXtG7dOm3fvt13fmzMmDFKTEzUwYMHNXLkSL+vrs50jR49Wjt27PC7dvH3wXA4HGpvbw/553pq8uTJWrdunZYtW6bHHnvMd72goEAJCQl+78Hlcmnfvn1RGxsAIDBWyAAAljFz5kwtWLBAra2tfmfApk+fru985zvyeDy+gCwlJUX33HOPFi1aJK/Xq2uuuUYul0tvv/22UlNTNX/+/Ev6/5d/+Rd94Qtf0IoVK3TjjTfqzTff1Lp160JOiz98+HBt27ZNBw4c0GWXXaaMjAzZ7ZF9Bjp16lT98Y9/1PXXX6/4+HgtXLhQKSkpmj9/vu69915lZGQoKytLDzzwgOx2u2mp/gEA/lghAwBYxsyZM3Xu3DmNHDlS2dnZvuvTp09XU1OTLz1+h4cfflhLly7V8uXLVVJSouuuu05r167ViBEjOu3/6quv1sqVK7VixQqNGzdOf/rTn7Ro0SINGDAgpHHec889iouL05gxY5SZmamDBw/27A2H6JprrtHatWt1//336+mnn5YkrVixQqWlpfqHf/gHlZWV6eqrr1ZJSUnI7wkAEBk2wzAMswcBAECsuuuuu7R3715t2bLF7KGExZkzZ5SXl6fHH39cd955p9nDAYB+jy2LAABc4LHHHtOsWbOUnJysdevW6aWXXtKzzz5r9rB6bOfOndq7d68mT54sl8ulH/7wh5KkL33pSyaPDAAgEZABAOBn+/btevTRR9XU1KSCggI99dRT+uY3v2n2sHrlscceU3V1tRwOhyZOnKgtW7Zo8ODBZg8LACC2LAIAAACAaUjqAQAAAAAmISADAAAAAJMQkAEAAACASQjIAAAAAMAkBGQAAAAAYBICMgAAAAAwCQEZAAAAAJiEgAwAAAAATPL/Aeg2Tx/k1WDKAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 10))\n",
    "plt.scatter(data = daily_activity_weight, x = 'WeightKg', y = 'TotalSteps')\n",
    "plt.title('Total Steps Taken Vs Weight in Kg')\n",
    "plt.xlabel('Weight in kg')\n",
    "plt.ylabel('Total Steps Taken')\n",
    "plt.grid(False)\n",
    "plt.xticks([60, 80, 100, 120])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d298542b-a78d-4575-aca9-19c28284f0cb",
   "metadata": {},
   "source": [
    "From the graph, we can conclude that majority of the users who weigh about 60 to 90 kg are the most active and users who weigh above 80 kg seem to take longer walks."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7870ff04-4125-4ec9-96a7-6e3261fcce81",
   "metadata": {},
   "source": [
    "#### 7.0 User Type Distribution\n",
    "Now we shall take a look into how many users are active according to their average steps taken."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "13559949-b74b-46a7-9030-bfa3f6b64641",
   "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>Id</th>\n",
       "      <th>MeanTotalSteps</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>12116.741935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1644430081</td>\n",
       "      <td>7282.966667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1844505072</td>\n",
       "      <td>2580.064516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1927972279</td>\n",
       "      <td>916.129032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2026352035</td>\n",
       "      <td>5566.870968</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id  MeanTotalSteps\n",
       "0  1503960366    12116.741935\n",
       "1  1644430081     7282.966667\n",
       "2  1844505072     2580.064516\n",
       "3  1927972279      916.129032\n",
       "4  2026352035     5566.870968"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_average = daily_activity_sleep.groupby('Id').agg(\n",
    "    MeanTotalSteps=pd.NamedAgg(column='TotalSteps', aggfunc='mean')).reset_index()\n",
    "\n",
    "daily_average.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9177f60f-7d50-4959-95e7-0376b17a2de0",
   "metadata": {},
   "source": [
    "According to 10000 steps,\n",
    "* Sedentary: Less than 5,000 steps per day\n",
    "* Low active: Between 5,000 to 7,499 steps per day\n",
    "* Somewhat active: Between 7,500 to 9,999 steps per day\n",
    "* Active: More than 10,000 steps per day\n",
    "* Highly active: More than 12,500\n",
    "\n",
    "With reference to average total steps taken, let's categorize each user to their respective active level."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "2e11a444-08fe-46e2-812f-d335da64f810",
   "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>Id</th>\n",
       "      <th>MeanTotalSteps</th>\n",
       "      <th>ActivityUserType</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>12116.741935</td>\n",
       "      <td>Active</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1644430081</td>\n",
       "      <td>7282.966667</td>\n",
       "      <td>Low Active</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1844505072</td>\n",
       "      <td>2580.064516</td>\n",
       "      <td>Sedentary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1927972279</td>\n",
       "      <td>916.129032</td>\n",
       "      <td>Sedentary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2026352035</td>\n",
       "      <td>5566.870968</td>\n",
       "      <td>Low Active</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id  MeanTotalSteps ActivityUserType\n",
       "0  1503960366    12116.741935           Active\n",
       "1  1644430081     7282.966667       Low Active\n",
       "2  1844505072     2580.064516        Sedentary\n",
       "3  1927972279      916.129032        Sedentary\n",
       "4  2026352035     5566.870968       Low Active"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_average['ActivityUserType'] = daily_average['MeanTotalSteps'].apply(lambda x: \n",
    "                                                                            'Sedentary' if x < 5000 else \n",
    "                                                                            ('Low Active' if 5000 <= x < 7499 else \n",
    "                                                                            ('Somewhat Active' if 7500 <= x < 9999 else \n",
    "                                                                            ('Active' if x >= 10000 else 'Highly Active'))))\n",
    "daily_average.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b8d990b6-0805-486d-a523-f1886632e802",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "user_count = daily_average['ActivityUserType'].value_counts()\n",
    "\n",
    "plt.figure(figsize = (10, 10))\n",
    "plt.pie(user_count, labels = None, autopct = '%1.1f%%', textprops={'color': 'white'})\n",
    "plt.title('User Distribution')\n",
    "plt.legend(labels = user_count.index, loc = 'upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34928730-6ed9-4a17-a427-ef0b482928ff",
   "metadata": {},
   "source": [
    "From the evenly distributed pie chart, we can tell that the lowest percentage is 16.7% of the users who fall into the low active category whereas about 33.3% of the users are somewhat active."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "886f9317-a6eb-4822-a713-e30591972313",
   "metadata": {},
   "source": [
    "#### 8.0 Active hours\n",
    "Let's take a look at which hour the users are most active."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "4499d683-f12f-4747-8196-54145c025168",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (10, 10))\n",
    "sns.barplot(data = hourly_intensity, x = 'Time', y = 'TotalIntensity', errorbar=None)\n",
    "plt.title('Total Intensity per hour')\n",
    "plt.xlabel('Hour')\n",
    "plt.ylabel('Total Intensity')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55753510-0878-4a29-9226-0ef1c99527ae",
   "metadata": {},
   "source": [
    "From the graph, we can see that the peak hours are from 5 pm to 7 pm."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}