Kiva-EDA-and-Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Kiva Loan Data EDA and Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### About Kiva\n",
    "Kiva is an international nonprofit founded in 2005 with a mission to connect people through lending to alleviate poverty. In June 2018 Kiva was in 85 countries, and had served 2.9 Million borrowers through $ 1.16 Billion worth of loans.\n",
    "\n",
    "### How it works\n",
    "1. A borrower applies for a loan (micro-finance partner, or Kiva directly).\n",
    "2. The loan goes through the underwriting and approval process.\n",
    "3. The loan is posted to Kiva for lenders to support, and a 30-day fundraising period begins.\n",
    "4. Borrowers repay the loans.\n",
    "* Note that Kiva does not collect interest on loans, and Kiva lenders do not receive interest from loans they support on Kiva. However, Field Partners collect interest from borrowers to cover their operation costs.\n",
    "\n",
    "### About Kiva's Data\n",
    "This analysis uses Kiva's Data Snapshot (https://build.kiva.org/docs/data/snapshots) downloaded on June 15th, 2018.\n",
    "\n",
    "### Objectives of this Notebook\n",
    "1. Conduct Exploratory Data Analysis\n",
    "2. Question??"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Libraries and Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import scipy.stats as sts\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/loans.csv', parse_dates=['POSTED_TIME', 'PLANNED_EXPIRATION_TIME', 'DISBURSE_TIME',\n",
    "       'RAISED_TIME'])\n",
    "# import random\n",
    "# df = pd.read_csv('data/loans.csv', skiprows=(lambda i: i>0 and random.random() < 0.01))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1419607, 34)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['LOAN_ID', 'LOAN_NAME', 'ORIGINAL_LANGUAGE', 'DESCRIPTION',\n",
       "       'DESCRIPTION_TRANSLATED', 'FUNDED_AMOUNT', 'LOAN_AMOUNT', 'STATUS',\n",
       "       'IMAGE_ID', 'VIDEO_ID', 'ACTIVITY_NAME', 'SECTOR_NAME', 'LOAN_USE',\n",
       "       'COUNTRY_CODE', 'COUNTRY_NAME', 'TOWN_NAME', 'CURRENCY_POLICY',\n",
       "       'CURRENCY_EXCHANGE_COVERAGE_RATE', 'CURRENCY', 'PARTNER_ID',\n",
       "       'POSTED_TIME', 'PLANNED_EXPIRATION_TIME', 'DISBURSE_TIME',\n",
       "       'RAISED_TIME', 'LENDER_TERM', 'NUM_LENDERS_TOTAL',\n",
       "       'NUM_JOURNAL_ENTRIES', 'NUM_BULK_ENTRIES', 'TAGS', 'BORROWER_NAMES',\n",
       "       'BORROWER_GENDERS', 'BORROWER_PICTURED', 'REPAYMENT_INTERVAL',\n",
       "       'DISTRIBUTION_MODEL'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop columns we don't need\n",
    "df = df.drop(['DESCRIPTION', 'DESCRIPTION_TRANSLATED','IMAGE_ID', 'VIDEO_ID', 'NUM_JOURNAL_ENTRIES', 'TAGS', 'NUM_BULK_ENTRIES', 'BORROWER_PICTURED'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['LOAN_ID', 'LOAN_NAME', 'ORIGINAL_LANGUAGE', 'FUNDED_AMOUNT',\n",
       "       'LOAN_AMOUNT', 'STATUS', 'ACTIVITY_NAME', 'SECTOR_NAME', 'LOAN_USE',\n",
       "       'COUNTRY_CODE', 'COUNTRY_NAME', 'TOWN_NAME', 'CURRENCY_POLICY',\n",
       "       'CURRENCY_EXCHANGE_COVERAGE_RATE', 'CURRENCY', 'PARTNER_ID',\n",
       "       'POSTED_TIME', 'PLANNED_EXPIRATION_TIME', 'DISBURSE_TIME',\n",
       "       'RAISED_TIME', 'LENDER_TERM', 'NUM_LENDERS_TOTAL', 'BORROWER_NAMES',\n",
       "       'BORROWER_GENDERS', 'REPAYMENT_INTERVAL', 'DISTRIBUTION_MODEL'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['diff_posted_planned'] = df['PLANNED_EXPIRATION_TIME'].sub(df['POSTED_TIME'], axis=0)\n",
    "df['diff_posted_planned'] = df['diff_posted_planned'] / np.timedelta64(1, 'D')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['diff_posted_raised'] = df['RAISED_TIME'].sub(df['POSTED_TIME'], axis=0)\n",
    "df['diff_posted_raised'] = df['diff_posted_raised'] / np.timedelta64(1, 'D')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>LOAN_ID</th>\n",
       "      <th>LOAN_NAME</th>\n",
       "      <th>ORIGINAL_LANGUAGE</th>\n",
       "      <th>FUNDED_AMOUNT</th>\n",
       "      <th>LOAN_AMOUNT</th>\n",
       "      <th>STATUS</th>\n",
       "      <th>ACTIVITY_NAME</th>\n",
       "      <th>SECTOR_NAME</th>\n",
       "      <th>LOAN_USE</th>\n",
       "      <th>COUNTRY_CODE</th>\n",
       "      <th>...</th>\n",
       "      <th>DISBURSE_TIME</th>\n",
       "      <th>RAISED_TIME</th>\n",
       "      <th>LENDER_TERM</th>\n",
       "      <th>NUM_LENDERS_TOTAL</th>\n",
       "      <th>BORROWER_NAMES</th>\n",
       "      <th>BORROWER_GENDERS</th>\n",
       "      <th>REPAYMENT_INTERVAL</th>\n",
       "      <th>DISTRIBUTION_MODEL</th>\n",
       "      <th>diff_posted_planned</th>\n",
       "      <th>diff_posted_raised</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>657307</td>\n",
       "      <td>Aivy</td>\n",
       "      <td>English</td>\n",
       "      <td>125.0</td>\n",
       "      <td>125.0</td>\n",
       "      <td>funded</td>\n",
       "      <td>General Store</td>\n",
       "      <td>Retail</td>\n",
       "      <td>to buy additional inventories for her sari-sa...</td>\n",
       "      <td>PH</td>\n",
       "      <td>...</td>\n",
       "      <td>2013-12-22 08:00:00</td>\n",
       "      <td>2014-01-15 04:48:22</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Aivy</td>\n",
       "      <td>female</td>\n",
       "      <td>irregular</td>\n",
       "      <td>field_partner</td>\n",
       "      <td>30.046076</td>\n",
       "      <td>0.100428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>657259</td>\n",
       "      <td>Idalia Marizza</td>\n",
       "      <td>Spanish</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>funded</td>\n",
       "      <td>Used Clothing</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>To buy American clothing such as blouses, shir...</td>\n",
       "      <td>HN</td>\n",
       "      <td>...</td>\n",
       "      <td>2013-12-20 08:00:00</td>\n",
       "      <td>2014-02-25 06:42:06</td>\n",
       "      <td>8.0</td>\n",
       "      <td>11</td>\n",
       "      <td>Idalia Marizza</td>\n",
       "      <td>female</td>\n",
       "      <td>monthly</td>\n",
       "      <td>field_partner</td>\n",
       "      <td>71.084572</td>\n",
       "      <td>41.429699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>658010</td>\n",
       "      <td>Aasia</td>\n",
       "      <td>English</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>funded</td>\n",
       "      <td>General Store</td>\n",
       "      <td>Retail</td>\n",
       "      <td>to buy stock of rice, sugar and flour</td>\n",
       "      <td>PK</td>\n",
       "      <td>...</td>\n",
       "      <td>2014-01-09 08:00:00</td>\n",
       "      <td>2014-01-24 23:06:18</td>\n",
       "      <td>14.0</td>\n",
       "      <td>16</td>\n",
       "      <td>Aasia</td>\n",
       "      <td>female</td>\n",
       "      <td>monthly</td>\n",
       "      <td>field_partner</td>\n",
       "      <td>30.400775</td>\n",
       "      <td>8.481481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>659347</td>\n",
       "      <td>Gulmira</td>\n",
       "      <td>Russian</td>\n",
       "      <td>625.0</td>\n",
       "      <td>625.0</td>\n",
       "      <td>funded</td>\n",
       "      <td>Farming</td>\n",
       "      <td>Agriculture</td>\n",
       "      <td>to buy cucumber and tomato seeds, as well as f...</td>\n",
       "      <td>KG</td>\n",
       "      <td>...</td>\n",
       "      <td>2014-01-17 08:00:00</td>\n",
       "      <td>2014-01-22 05:29:28</td>\n",
       "      <td>14.0</td>\n",
       "      <td>21</td>\n",
       "      <td>Gulmira</td>\n",
       "      <td>female</td>\n",
       "      <td>monthly</td>\n",
       "      <td>field_partner</td>\n",
       "      <td>31.715440</td>\n",
       "      <td>1.812269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>656933</td>\n",
       "      <td>Ricky\\t</td>\n",
       "      <td>English</td>\n",
       "      <td>425.0</td>\n",
       "      <td>425.0</td>\n",
       "      <td>funded</td>\n",
       "      <td>Farming</td>\n",
       "      <td>Agriculture</td>\n",
       "      <td>to buy organic fertilizer and agrochemical pr...</td>\n",
       "      <td>PH</td>\n",
       "      <td>...</td>\n",
       "      <td>2013-12-17 08:00:00</td>\n",
       "      <td>2014-01-14 17:29:27</td>\n",
       "      <td>7.0</td>\n",
       "      <td>15</td>\n",
       "      <td>Ricky\\t</td>\n",
       "      <td>male</td>\n",
       "      <td>bullet</td>\n",
       "      <td>field_partner</td>\n",
       "      <td>30.016447</td>\n",
       "      <td>0.488264</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   LOAN_ID       LOAN_NAME ORIGINAL_LANGUAGE  FUNDED_AMOUNT  LOAN_AMOUNT  \\\n",
       "0   657307            Aivy           English          125.0        125.0   \n",
       "1   657259  Idalia Marizza           Spanish          400.0        400.0   \n",
       "2   658010           Aasia           English          400.0        400.0   \n",
       "3   659347         Gulmira           Russian          625.0        625.0   \n",
       "4   656933         Ricky\\t           English          425.0        425.0   \n",
       "\n",
       "   STATUS  ACTIVITY_NAME  SECTOR_NAME  \\\n",
       "0  funded  General Store       Retail   \n",
       "1  funded  Used Clothing     Clothing   \n",
       "2  funded  General Store       Retail   \n",
       "3  funded        Farming  Agriculture   \n",
       "4  funded        Farming  Agriculture   \n",
       "\n",
       "                                            LOAN_USE COUNTRY_CODE  \\\n",
       "0   to buy additional inventories for her sari-sa...           PH   \n",
       "1  To buy American clothing such as blouses, shir...           HN   \n",
       "2              to buy stock of rice, sugar and flour           PK   \n",
       "3  to buy cucumber and tomato seeds, as well as f...           KG   \n",
       "4   to buy organic fertilizer and agrochemical pr...           PH   \n",
       "\n",
       "         ...               DISBURSE_TIME         RAISED_TIME LENDER_TERM  \\\n",
       "0        ...         2013-12-22 08:00:00 2014-01-15 04:48:22         7.0   \n",
       "1        ...         2013-12-20 08:00:00 2014-02-25 06:42:06         8.0   \n",
       "2        ...         2014-01-09 08:00:00 2014-01-24 23:06:18        14.0   \n",
       "3        ...         2014-01-17 08:00:00 2014-01-22 05:29:28        14.0   \n",
       "4        ...         2013-12-17 08:00:00 2014-01-14 17:29:27         7.0   \n",
       "\n",
       "   NUM_LENDERS_TOTAL  BORROWER_NAMES  BORROWER_GENDERS REPAYMENT_INTERVAL  \\\n",
       "0                  3            Aivy            female          irregular   \n",
       "1                 11  Idalia Marizza            female            monthly   \n",
       "2                 16           Aasia            female            monthly   \n",
       "3                 21         Gulmira            female            monthly   \n",
       "4                 15         Ricky\\t              male             bullet   \n",
       "\n",
       "  DISTRIBUTION_MODEL diff_posted_planned diff_posted_raised  \n",
       "0      field_partner           30.046076           0.100428  \n",
       "1      field_partner           71.084572          41.429699  \n",
       "2      field_partner           30.400775           8.481481  \n",
       "3      field_partner           31.715440           1.812269  \n",
       "4      field_partner           30.016447           0.488264  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "103.09370720832506"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Empirical expiration time is about 103 days for direct loans\n",
    "df[df['DISTRIBUTION_MODEL']=='direct']['diff_posted_planned'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "36.69100024716611"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Empirical expiration time is about 37 days for field-partner loans\n",
    "df[df['DISTRIBUTION_MODEL']=='field_partner']['diff_posted_planned'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "46.93997493908382"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Average time (in days) it takes to fund direct loan\n",
    "df[df['DISTRIBUTION_MODEL']=='direct']['diff_posted_raised'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12.210967399641726"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Average time (in days) it takes to fund field-partner loan\n",
    "df[df['DISTRIBUTION_MODEL']=='field_partner']['diff_posted_raised'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>Total Missings</th>\n",
       "      <th>Percent Missings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>diff_posted_planned</th>\n",
       "      <td>371834</td>\n",
       "      <td>0.261927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PLANNED_EXPIRATION_TIME</th>\n",
       "      <td>371834</td>\n",
       "      <td>0.261927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CURRENCY_EXCHANGE_COVERAGE_RATE</th>\n",
       "      <td>321526</td>\n",
       "      <td>0.226489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOWN_NAME</th>\n",
       "      <td>161758</td>\n",
       "      <td>0.113946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RAISED_TIME</th>\n",
       "      <td>64282</td>\n",
       "      <td>0.045282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diff_posted_raised</th>\n",
       "      <td>64282</td>\n",
       "      <td>0.045282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BORROWER_NAMES</th>\n",
       "      <td>47558</td>\n",
       "      <td>0.033501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LOAN_NAME</th>\n",
       "      <td>47558</td>\n",
       "      <td>0.033501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LOAN_USE</th>\n",
       "      <td>43273</td>\n",
       "      <td>0.030482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BORROWER_GENDERS</th>\n",
       "      <td>43251</td>\n",
       "      <td>0.030467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ORIGINAL_LANGUAGE</th>\n",
       "      <td>43251</td>\n",
       "      <td>0.030467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PARTNER_ID</th>\n",
       "      <td>16790</td>\n",
       "      <td>0.011827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DISBURSE_TIME</th>\n",
       "      <td>2813</td>\n",
       "      <td>0.001982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LENDER_TERM</th>\n",
       "      <td>24</td>\n",
       "      <td>0.000017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COUNTRY_CODE</th>\n",
       "      <td>9</td>\n",
       "      <td>0.000006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NUM_LENDERS_TOTAL</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ACTIVITY_NAME</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FUNDED_AMOUNT</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LOAN_AMOUNT</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STATUS</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>COUNTRY_NAME</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SECTOR_NAME</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DISTRIBUTION_MODEL</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CURRENCY_POLICY</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>REPAYMENT_INTERVAL</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CURRENCY</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>POSTED_TIME</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LOAN_ID</th>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Total Missings  Percent Missings\n",
       "diff_posted_planned                      371834          0.261927\n",
       "PLANNED_EXPIRATION_TIME                  371834          0.261927\n",
       "CURRENCY_EXCHANGE_COVERAGE_RATE          321526          0.226489\n",
       "TOWN_NAME                                161758          0.113946\n",
       "RAISED_TIME                               64282          0.045282\n",
       "diff_posted_raised                        64282          0.045282\n",
       "BORROWER_NAMES                            47558          0.033501\n",
       "LOAN_NAME                                 47558          0.033501\n",
       "LOAN_USE                                  43273          0.030482\n",
       "BORROWER_GENDERS                          43251          0.030467\n",
       "ORIGINAL_LANGUAGE                         43251          0.030467\n",
       "PARTNER_ID                                16790          0.011827\n",
       "DISBURSE_TIME                              2813          0.001982\n",
       "LENDER_TERM                                  24          0.000017\n",
       "COUNTRY_CODE                                  9          0.000006\n",
       "NUM_LENDERS_TOTAL                             0          0.000000\n",
       "ACTIVITY_NAME                                 0          0.000000\n",
       "FUNDED_AMOUNT                                 0          0.000000\n",
       "LOAN_AMOUNT                                   0          0.000000\n",
       "STATUS                                        0          0.000000\n",
       "COUNTRY_NAME                                  0          0.000000\n",
       "SECTOR_NAME                                   0          0.000000\n",
       "DISTRIBUTION_MODEL                            0          0.000000\n",
       "CURRENCY_POLICY                               0          0.000000\n",
       "REPAYMENT_INTERVAL                            0          0.000000\n",
       "CURRENCY                                      0          0.000000\n",
       "POSTED_TIME                                   0          0.000000\n",
       "LOAN_ID                                       0          0.000000"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking for missing data\n",
    "total = df.isnull().sum().sort_values(ascending = False)\n",
    "percent = (df.isnull().sum()/df.isnull().count()).sort_values(ascending = False)\n",
    "missing_data = pd.concat([total, percent], axis=1, keys=['Total Missings', 'Percent Missings'])\n",
    "missing_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "monthly      0.548019\n",
       "irregular    0.372953\n",
       "bullet       0.078591\n",
       "weekly       0.000438\n",
       "Name: REPAYMENT_INTERVAL, dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['REPAYMENT_INTERVAL'].value_counts(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "funded         0.951207\n",
       "expired        0.041618\n",
       "refunded       0.004634\n",
       "fundRaising    0.002542\n",
       "Name: STATUS, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['STATUS'].value_counts(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "field_partner    0.988173\n",
       "direct           0.011827\n",
       "Name: DISTRIBUTION_MODEL, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['DISTRIBUTION_MODEL'].value_counts(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Group vs Individual loans\n",
    "# mask_g = df['BORROWER_GENDERS']!= 'male' & df['BORROWER_GENDERS'] != 'female'\n",
    "df['GROUP'] = np.where(np.logical_and(df['BORROWER_GENDERS']!= 'male', df['BORROWER_GENDERS']!= 'female'), 1, 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A closer look... Individual vs. Group loans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "individual = df['GROUP']==0\n",
    "group = df['GROUP']==1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.827514\n",
       "1    0.172486\n",
       "Name: GROUP, dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['GROUP'].value_counts(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>FUNDED_AMOUNT</th>\n",
       "      <td>244862.0</td>\n",
       "      <td>1572.803518</td>\n",
       "      <td>1547.925712</td>\n",
       "      <td>0.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LOAN_AMOUNT</th>\n",
       "      <td>244862.0</td>\n",
       "      <td>1620.683385</td>\n",
       "      <td>1590.533857</td>\n",
       "      <td>25.0</td>\n",
       "      <td>525.0</td>\n",
       "      <td>1050.0</td>\n",
       "      <td>2275.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LENDER_TERM</th>\n",
       "      <td>244859.0</td>\n",
       "      <td>11.285952</td>\n",
       "      <td>7.773717</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>195.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NUM_LENDERS_TOTAL</th>\n",
       "      <td>244862.0</td>\n",
       "      <td>39.205495</td>\n",
       "      <td>39.841888</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>1643.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      count         mean          std   min    25%     50%  \\\n",
       "FUNDED_AMOUNT      244862.0  1572.803518  1547.925712   0.0  500.0  1000.0   \n",
       "LOAN_AMOUNT        244862.0  1620.683385  1590.533857  25.0  525.0  1050.0   \n",
       "LENDER_TERM        244859.0    11.285952     7.773717   2.0    8.0     9.0   \n",
       "NUM_LENDERS_TOTAL  244862.0    39.205495    39.841888   0.0   12.0    26.0   \n",
       "\n",
       "                      75%      max  \n",
       "FUNDED_AMOUNT      2200.0  50000.0  \n",
       "LOAN_AMOUNT        2275.0  50000.0  \n",
       "LENDER_TERM          13.0    195.0  \n",
       "NUM_LENDERS_TOTAL    51.0   1643.0  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['FUNDED_AMOUNT', 'LOAN_AMOUNT', 'LENDER_TERM', 'NUM_LENDERS_TOTAL']][group].describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>FUNDED_AMOUNT</th>\n",
       "      <td>1174745.0</td>\n",
       "      <td>634.235817</td>\n",
       "      <td>800.796063</td>\n",
       "      <td>0.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>100000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LOAN_AMOUNT</th>\n",
       "      <td>1174745.0</td>\n",
       "      <td>667.884115</td>\n",
       "      <td>852.682818</td>\n",
       "      <td>25.0</td>\n",
       "      <td>275.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>825.0</td>\n",
       "      <td>100000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LENDER_TERM</th>\n",
       "      <td>1174724.0</td>\n",
       "      <td>13.419373</td>\n",
       "      <td>7.470425</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>158.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NUM_LENDERS_TOTAL</th>\n",
       "      <td>1174745.0</td>\n",
       "      <td>18.720526</td>\n",
       "      <td>22.998699</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>3045.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       count        mean         std   min    25%    50%  \\\n",
       "FUNDED_AMOUNT      1174745.0  634.235817  800.796063   0.0  250.0  450.0   \n",
       "LOAN_AMOUNT        1174745.0  667.884115  852.682818  25.0  275.0  475.0   \n",
       "LENDER_TERM        1174724.0   13.419373    7.470425   1.0    8.0   13.0   \n",
       "NUM_LENDERS_TOTAL  1174745.0   18.720526   22.998699   0.0    8.0   13.0   \n",
       "\n",
       "                     75%       max  \n",
       "FUNDED_AMOUNT      800.0  100000.0  \n",
       "LOAN_AMOUNT        825.0  100000.0  \n",
       "LENDER_TERM         14.0     158.0  \n",
       "NUM_LENDERS_TOTAL   24.0    3045.0  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['FUNDED_AMOUNT', 'LOAN_AMOUNT', 'LENDER_TERM', 'NUM_LENDERS_TOTAL']][individual].describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABI8AAAHvCAYAAADdOf//AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a36f17a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution by group\n",
    "plt.figure(figsize=(20,8))\n",
    "sns.distplot(df[individual]['LOAN_AMOUNT'], hist=False, color='blue', label = 'Individual', kde_kws={'clip': (0, 8000)})\n",
    "sns.distplot(df[group]['LOAN_AMOUNT'], hist=False, color='purple', label = 'Group', kde_kws={'clip': (0, 8000)});\n",
    "plt.axvline(df[individual]['LOAN_AMOUNT'].mean(), color=\"blue\", linestyle=\"--\")\n",
    "plt.axvline(df[group]['LOAN_AMOUNT'].mean(), color=\"purple\", linestyle=\"--\")\n",
    "\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p-value: 0.00\n"
     ]
    }
   ],
   "source": [
    "# H0: mu_group - mu_individual = 0\n",
    "# Ha: mu_group - mu_induvidual != 0\n",
    "\n",
    "# alpha = 0.05\n",
    "\n",
    "# T test\n",
    "t, p = sts.ttest_ind(df[individual]['LOAN_AMOUNT'], df[group]['LOAN_AMOUNT'], equal_var=False)\n",
    "\n",
    "# p value\n",
    "print(\"p-value: {:2.2f}\".format(p))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Individual loans, by gender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABJsAAAHqCAYAAACjsU/eAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\naWxMNkmSJEmSJGlsTDZJkiRJkiRpbP4NiS8TxbJcoPQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a15640748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Individual loan splitup by gender\n",
    "male = df['BORROWER_GENDERS']=='male'\n",
    "female = df['BORROWER_GENDERS']=='female'\n",
    "\n",
    "plt.figure(figsize=(20,8))\n",
    "sns.distplot(df[male]['LOAN_AMOUNT'], hist=False, color='blue', label = 'Men', kde_kws={'clip': (0, 4000)});\n",
    "sns.distplot(df[female]['LOAN_AMOUNT'], hist=False, color='purple', label = 'Women', kde_kws={'clip': (0, 4000)});\n",
    "plt.axvline(df[male]['LOAN_AMOUNT'].mean(), color=\"blue\", linestyle=\"--\")\n",
    "plt.axvline(df[female]['LOAN_AMOUNT'].mean(), color=\"purple\", linestyle=\"--\")\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p-value: 0.00\n"
     ]
    }
   ],
   "source": [
    "# H0: mu_male - mu_female = 0\n",
    "# Ha: mu_male - mu_female != 0\n",
    "\n",
    "# alpha = 0.05\n",
    "\n",
    "# T test\n",
    "t, p = sts.ttest_ind(df[male]['LOAN_AMOUNT'], df[female]['LOAN_AMOUNT'], equal_var=False)\n",
    "\n",
    "# p value\n",
    "print(\"p-value: {:2.2f}\".format(p))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## More EDA..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA4oAAAFWCAYAAAAv7mOFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a21237be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Count Plot by Sector\n",
    "plt.figure(figsize=(15,4))\n",
    "sns.countplot(x='SECTOR_NAME', data=df, orient='h', order = df['SECTOR_NAME'].value_counts().index)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.ylabel('Number of loans')\n",
    "plt.xlabel('Sector Name')\n",
    "plt.title(\"Number of Loans By Sector\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "//anaconda/lib/python3.5/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if self._edgecolors == str('face'):\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA40AAAHACAYAAAAGDY2iAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xe8JFWd/vHPc4cJdxJJBEGSCqwgwhBHwJlmRX+KirKi\nwOqCrGHXuOuadVXMKLq6whpYlaCrBEEFkQwXASUPQ1TRBVZAMgOT4/f3R52eKfpWV/Wdvj23u+d5\nz6teU3VOnVChq/vcU3VKEYGZmZmZmZlZkYGxroCZmZmZmZl1LzcazczMzMzMrCk3Gs3MzMzMzKwp\nNxrNzMzMzMysKTcazczMzMzMrKkNxroCtpqHsTUzMzMzG05jXYGRGpzx3pZ/2y+ec2LXb58bjV1k\nyYri8EnpKC1aNvzcmzwhO8ceenp5Ydotpo8H4MlFK4fFbTx5XNNy62VW1anMU4tXFYZvODhQWW6V\nkda5Hre4eDcxOL467a/veKQw7cG7PBuAhQXHZ8qE9q8BVcegrM6PLhgeudnUDVrKd/6S4cdv2qTm\nx67VOt37+JLCtNttOgmARcsLzvPx2X686d6nC9Puud304grlzF9asD0TB5qWmS93pPnm8y7bF0Wf\nS1jz2Sz73C5YOrzOUyeqaZn5ctv5jBx28s3D4n52zB4tpX1g3rJhcVttNKE4UYOy86JM1b4o+9xW\npX184fAVNp3S2kWs7PhV7cei+Fbiqs7VMlV1KjtXH5lfnPjZ07LETywcnnaTKVnado5PmarPfNG1\npn6d2fVTlxSmve3zL29ar3qd2vleLLueF51PUH5NaPV7vhvT/v6vi4bF/c1zJgPFv5Vgze+lTv1G\nqDqnytI+WHBt3DJdG6vyLfvMt+OxgvMN4FlTqz9g7Rzbst+6NrbcaDQzMzMzMxtNA+PGugajyo1G\nMzMzMzOz0aT+GjqmZ7ZG0qGSVknaaS3SflbSy9ay3HslbSJpQ0nvWps8zMzMzMxsPSK1PvWAnmk0\nAkcCVwFHjCSRpIGI+ExEXLaW5dZvrt4YePdIE0t99mcGMzMzMzMrp4HWpx7QE7WUNBXYD3g7qdEo\naUDStyXdLuk8SedLekOKu1fSpyRdBbxR0im5uL0lXSPpFknXSpoq6a2STsiV9ytJs/JVAI4Dni9p\njqSvSpot6bxcmhMlHd2k/FdI+q2kmySdKWlKZ/eYmZmZmZmNmT7raeyVZxpfD1wQEXdLekLSDOD5\nwLYR8SJJmwN3AT9I6wewOCJeCiDplUBImgCcDrwpIm5KjdHFDH/dRdHyR4FdImJGyrNWsE7k5hdH\nxEslPQs4G3hZRCyW9FHg34DPr/XeMDMzMzOz7tUjPYit6pVG45HAN9L8GWl5PHAmQEQ8LOmKhjRn\nNCwL2An4a0TclNItAFBrLfyR/hmgXv5MYGfgt6mcCcBvG1ceGhri0suHVi/Pml1j1uzaCIs0MzMz\nM7Mx1yM9iK3q+kajpE2BA4FdJAUwjqwn7+c8syHXeGQWNsmy6IU3K3jmrbqTWqhaY5rBkvIviYi/\nL8usVqsx84BaC8WamZmZmVlX67NXbvRCv+lhwKkRsV1EbB8R2wD3AI8Bb1Bmc2B2RT4B/B7YUtJe\nAJKmSRoH3AvsnvLaGtinIP18YFpu+T5gZ0kTJG0I/G2Tcq8D9pf0/FTmZEk7tLDdZmZmZmbWi/ps\nIJyu72kkG/jmyw1hZwMvBO4Hbgf+SNY4e6oso4hYLulw4ARJg8Ai4KCIuEbSPcBtKb+bCtI+ngbQ\nuQ34dUR8VNKZwK3A3cDNTcp8VNJbgZ9KmpiCP5nSmJmZmZlZv/HtqetWRBxYEHYCgKQpEbEw3cJ6\nHVmjj4jYvmH9Y3LzNwIvKcjzLU3K3z43/+aGuI+SDZDTNE1avoLi3kszMzMzM+s3PdKD2KqubzRW\n+JWkjcgGl/lcRDwy1hUyMzMzM7P1XJ81GhVRNC6MjQEfCDMzMzOz4XruXs/BAz/f8m/7xVd8quu3\nr9d7Gs3MzMzMzLpLn/U0utHYRZasKA6ftEHz+LK4VtN2qk6Llhf/gWXyeLVVp6q0ndpPC5YWb8/U\niet+e6riy45B2f5vNd920i5eXpx2cHx12qpzqkw721OmnfOiqtxFywqO34T2823n+HTqnKoyFtew\nTm5P0X4u+wy0Wm6nzvNO7scnF60cFrfx5HFt51um6jx/avGqYXEbDmY/AJ9eMjwOYPqkgab1GpXr\n+QivB63m263nxUjLHY193Mm0I/3MdyrffNoy3ZS21etq1+mzV2706mEwMzMzMzPrTh491czMzMzM\nzJrqs9tT+2tr1hFJh0paJWmnJvEbSnrXuq6XmZmZmZl1Aan1qQe40bh2jgSuAo5ojJA0DtgYePe6\nrpSZmZmZmXUBDbQ+9YDeqGUXkTQV2A94O6nRKKkm6QpJ/wPcCnwZeL6kOZK+ImkLSb9Jy7dJOmDs\ntsDMzMzMzDqqz3oa/UzjyL0euCAi7pb0hKQZKXxvYJeIuE/StsCLImIGgKR/Ay6MiC9JEjBlbKpu\nZmZmZmYd1yM9iK1yo3HkjgS+kebPSMvnA9dHxH0pvPFPBjcAP5Q0HvhFRMxtzHRoaIhLLx9avTxr\ndo1Zs2ujW3MzMzMzM+s8v3Jj/SVpU+BAYBdJAYwDAvg1sLBZuoi4StJLgdcAP5J0fET8KL9OrVZj\n5gG1jtXdzMzMzMzWkT7raeyvrem8w4BTI2K7iNg+IrYB7gFe2rDefGBafUHSNsBjEfF94AfADMzM\nzMzMrD/5mcb12hFkg9zknQ28C/hTPSAiHpd0jaTbgAuA24EPS1pO1qA8ah3V18zMzMzM1rU+62l0\no3EEIuLAgrATgBMKwt/cEHRap+plZmZmZmZdpEd6EFvlRqOZmZmZmdlo6rOeRkXEWNfBMj4QZmZm\nZmbD9Vy33eQ3/LDl3/aLzv7Hrt8+9zSamZmZmZmNIvn2VOuUJSuKwydt0Dy+Hrd4eXHawfHN4+tx\n7dSpzMJlxX9gmTJBTfNuJd+qtO3sp06lrTLS7amKr8ctKjgGk0v2f6v5VqUtK/fpJasK006fNFBZ\n7lOLi9NuOFh9C0jZZ2DB0uJzderE6gt+1XleVm7RfoI1+2rR8oL9OL7689PWOVNQZr7c+59cOizu\nuRtPbLvcKmXn1EjT5dOWHZ/K87zk+KxNvVr9bHbqvChTlbbos1n/XFadU/MLrgnT0vWgneNTZv7S\n4mvJtIlZuU8uWjksbuPJ2TvXnlg4PA5gkynjmtarXqd2vhfb+X4qusbVr2+d/C7o1PlY9D1S/w6p\nup63c/3rVNqy862d75h2VJ1TZTr1u6Xn9Gi1m+mvm23NzMzMzMzGmKSWpybpPyDpdkm3SfqJpImS\ntpd0naQ/Sjpd0vi07kRJZ0i6W9K1krbN5fPxFP57Sa/Ihb8yhd0t6aNV29PXjUZJW6Qd+idJd0g6\nX9IO6VUYZel2k/Sq3PKxkj7YZN1rRrveZmZmZmbWu9ppNEraCngfsGdE7AqMI3v131eAr0fEjsCT\nwNtSkrcBj0fEDsA30npI2hk4HNgZeCXwbWXGASemsJ2BIyW9sGx7+rbRqOwI/By4PCJeEBG7AB8H\nNm8h+Qzg4Nxy0wdZI2L/tipqZmZmZmZ9pd2eRrLHCCdL2gCYDPwVOBD4WYo/FXh9mj8kLUP2DvmX\npfnXAT+NiOURcS/Ze+X3BfYB/hQR90bEcuD0tG5TfdtoJNupyyLipHpARNwK3F9fljRJ0smSbpV0\ns6Ra6ub9HHC4pDmS3pRW31nSFZL+LOl9uTwWpP9rkoYknSXpLkk/zq1zcAq7StK3JJ3X4W03MzMz\nM7Mx0k6jMSIeAL4O/B/wIDAPuAmYFxH1h3ofALZK81sBf0lpVwBPSdoU2JJc2yfNb5XC/1IQ3lQ/\nD4TzIrKdW+Y9wKqIeLGknYCLgR2BT5F1B78fsttTgb8BasB04A+Svh0RK3lmL+TuZF28fwWukbQf\ncDPwXeClEXGfpJ/g12uYmZmZmfUtDTQfCWfFw3ex4uG71qyro2oRMbRmWRuT9R5uBzwFnMUz74Ks\nq7cpigqLkvCijsPS9kk/NxpbaZjtD3wLICL+IOk+skYjPHMnB/Cr1H37uKRHyG5zfbAhv+sj4kEA\nSbcA2wOLgP+NiPvSOj8F3tlYkaGhIS69fGj18qzZNWbNrrWwCWZmZmZm1k3KXrkxfoudGb/FzquX\nl9x2zlDDKgcB90TE4ymvc4D9gI0kDaTexueS9TZC1lO4DfBgup11w4h4QtL9wNa5fOtp1BC+dS6v\nQv3caLwDOKxiHdH6gLjLcvMrKd53S1tYp7C8Wq3GzANqLVbFzMzMzMy6VVmjsQX3ATMlDQJLyBqR\nNwCbAm8EzgCOBn6Z1j83LV9L1v65LBf+E0n/QXb76Q7A9WQD6+wgaTuyTrDDgSPLKtS3zzRGxOXA\nRElvr4dJ2hvYNrfab4A3p7gdyVrovwfmA9NGoxopv+flhr49HN+eamZmZmbWt9p8pvF6sgFvbgZu\nTcHfAz4K/Juku4GNgR+kuB8Am6bwfwU+lvK5EzgTuBO4AHh3ZFYA7wUuSnFnRMSa+2UL9HNPI8Ch\nwDclfYyslX4P8AHWNNq+DXxX0q3ACuDoiFgu6QrgY5LmAF9O6zZr6EWT+SwgYomkdwMXSnqMrHXv\nRqOZmZmZWb9qq6MRIuJY4NiG4HvIRj9tXHcp8KbG8BT3JeBLBeEXkDUkW9LXjcaI+CtZz16jF6f4\npcAxBemeJBuKtlm+u+bmp6f/h4ChXPj7ckmuiIgXpteA/BdZ97KZmZmZmfWhNm9P7Tp9e3tql3lH\n6rW8ney21++NcX3MzMzMzKxDRuE9jV2lr3sau0VEfBP45ljXw8zMzMzMOq/slRu9SBF+vK5L+ECY\nmZmZmQ3Xcy2wzd9+Vsu/7R/+/hu7fvvc02hmZmZmZjaKeuW201a50dhFlqwoDp+0QfP4srhW07ZT\npzKLlxeHD45vr05VaTu1nxYtK/6D0eQJqkzbjtE+Lzp9znSy3HbOqXbqVGasPrdjtT0Llg7/HEyd\n2PwzUFWvVs+pRcuHlzt5fPUXcjdeV6F8e3rxvFhYcH2cUnJtzKct+lzXP9NlcZ38firbnqrvgjKj\nfQxaPbbt7Md1eQ3Lx5fpxet5mU4dn3Z0cj+ONO1obM9YcKPRzMzMzMzMmuq3RmNXjJ4qaQtJp0v6\nk6Q7JJ0vaYdRyvt1kl44Gnml/I6W9Jzc8n+PZv5mZmZmZtbjNIKpB4x5ozG9u/DnwOUR8YKI2AX4\nBLD5KBVxKLBzk7LHrUV+bwW2rC9ExDsi4q61q5qZmZmZmfWbfnvlxpg3GoEDgWURcVI9ICLmRsTV\nko6XdJukWyW9CUBSTdKQpLMk3SXpx/V0ko5LPZVzU9qXAK8Fjpd0s6TnpbRflDQE/IukkyW9IZfH\ngtz8R1LZt0j6clpvL+B/Un6TUn57pvWPTOvfJum4fJ6SvpDy+Z2kZ3dsb5qZmZmZ2ZgaGBhoeeoF\n3fBM44uAmxoDUwNtN+DFwGbADZJ+k6J3J+s9/CtwjaT9gbuA10fE36T00yPiaUnnAudFxDkpPIAN\nI6KWlk9uKDpS+KuA1wH7RMQSSRtFxDxJ7wU+GBE35/ILSVsCxwF7APOAiyW9LiJ+CUwGfhcR/y7p\nK8A7gC+2ud/MzMzMzKwb9UYHYsu6odHY7B0m+wM/iexFko9IuhLYG3gauD4iHgSQdAuwLXAtsETS\n94HzgV/l8mo8bGe0UK+DgB9GxBKAiJhXkp9S3YYi4vFUr/8BZgG/JOtJPT+texPw8sbChoaGuPTy\nodXLs2bXmDW71kI1zczMzMysm/TKbaet6oZG4x3AYQXhRY+G1huYS3NhK4HxEbFS0j7Ay4AjgPem\n+Xy6uoW5+RWk23TT85UTWqhzKy/rVG69/GDKqyjY77VajZkH1FrI1szMzMzMulm/NRrH/CbaiLgc\nmCjp7fUwSXsDTwKHSxqQtBlZr931NOnslTQF2CgiLgA+QHYLK8B8YHpJFe4F9kzzrwPSm3G4GPhH\nSYMp/41L8gvgOmC2pE3TADtHAFeWlGtmZmZmZn2o3wbC6YaeRshGOP2mpI8BS4B7yBp+U4G5ZI2y\nD0fEI+n1Fo09fQFMA34paRJZw/JfU9zpwH9Leh/wxoKy/zuluw64DFgAEBEXSdoduFHSMrJbXv8d\nOAX4rqRFwH6rKxDxkKSPA1ek8s+PiPNy9cvXtZWeSjMzMzMz60G90hhsVVc0GiPir8DhBVEfSVN+\n3SvJ9eBFxPty0fsW5P1bYJdc0IEN8Y8AL8kFfSIX9xXgKw3rnwOcU5RfRPwU+GlBHabn5s8Gzm5c\nx8zMzMzM+kR/tRm7o9FoZmZmZmbWL3rlVRqtcqPRzMzMzMxsFPXZ3akoe6OFdQEfCDMzMzOz4Xqu\nCbbDhy9s+bf93ce/suu3zz2NZmZmZmZmo6jfehrdaOwiS1YUh0/aoHl8PW7hsuI/ZkyZoMq0nbJo\neXGdJo8fu09R1T4us2Bp8fZMndjZfdzOebGo4LyYPKG1/V+Wbzt16mTaMusy36q8Wy138fLhcYPj\nq+PaqdPTS1YVpp0+KXs2Y/7S4fHTJg60VG5ZnavMW7xyWNhGg+Mq03Xy2LZjXX5G1sV5XvQdVP/+\nKboOwZprUdl1qp3zrcyTi4afTwAbT87OqaLrff1a3853QdFnAFr7HHTqnBmrcts5fmXXg269npel\nnV9w3Z02qbXzvFO/Pap+V5bp1DWs13j0VDMzMzMzM2uqz9qM9OywPpJWSpqTmz5SsE5N0nlF6dso\nd7akl+SW/0nSP4xmGWZmZmZm1rvGjVPLUy/o5Z7GRRExYwzKPRCYD/wOICK+NwZ1MDMzMzOzLtVv\nt6f2bE9jM5JeKekuSVcBh+bCj5X0wdzy7ZK2SfNHSZor6RZJp6aw10q6VtLNki6R9GxJ2wH/BHwg\n9W4ekM9X0u4pzVxJ50jaKIUPSTpO0nWS/iDpgHW2Q8zMzMzMbJ2SWp96QS83Ggcbbk99o6RJwEnA\nayLipcAWrHmVReMTvQEgaRfgE8CBEbE78K8p/qqImBkRewBnAB+JiHuB7wL/EREzIuLqlE8979OA\nD0fEbsBtwGdyZY2LiH1T/vVwMzMzMzPrM5JannpBL9+eurjx9lRJuwP3RMSfU9CPgXeW5CHgb4Gz\nIuIJgIh4MsVtLelMsobnBOB/G9I9MyNpOrBhRFyVgk4Fzsqtck76/2Zgu8b0Q0NDXHr50OrlWbNr\nzJpdK6m6mZmZmZl1o15pDLaqlxuNRfK9fvDMxt0KntmzOqkirxOAr0XEryTNBo4dYV0az5Sl6f+V\nFOz3Wq3GzANqIyzCzMzMzMy6TZ+1GXv69tQifwC2l/S8tHxkLu5eYA8ASXsA25M1MC8D3iRpkxS3\ncVp/OvBgmn9rLp/5wLSGchURTwNP5p5X/AdgqL3NMTMzMzOzXuPbU7vHoKQ5ueULIuITkt4JnC/p\nMeBqYJcUfzZwVEpzA1kDk4i4U9IXgSslrSS7ffQfyXoWz5L0AHAtsG3K5zzgZ5IOAd6fwuq9m0cD\n35U0GfgzcEyTuhe/MdXMzMzMzHrewEBvNAZb1bONxogorHtEXAS8sCB8CfD/mqQ5jWwQm3zYucC5\nBeveDeyWC7o6FzcXeElBmgNz848Bz2tcx8zMzMzM+kOPdCC2rGcbjWZmZmZmZt2oV247bZUbjWZm\nZmZmZqOoz9qMKMKP13UJHwgzMzMzs+F6rgm275evbPm3/XUfn9312+eeRjMzMzMzs1HUbz2NbjR2\nkSUrisMnbdA8viyu1bTt1KlTaduxttu6Nvnm826n3E4d27E4Z6p08jwfabmdyrcq724+tt14HWon\nbTfWqSptp86LdnTTOdVv29NO2rG+no+VXryej7TcsT62/fYbbiz02zONpe9plPSR3PwbG+K+1KlK\nmZmZmZmZ9aqBAbU89YLSRiNwZG7+Ew1xr6rKXNJKSXNy00cq1p8tadgrK1ooZzdJrdRnT0n/OdL8\nR4ukxn1oZmZmZmZ9Rmp96gVVjcZ2LYqIGbnpqxXrHwjsN5ICJG0AzAAOrlo3Im6KiH8ZSf6j7ONj\nWLaZmZmZma0DklqemqTfSNLPJN0l6U5J+0raRNIlkv4o6WJJG+XW/5akuyXNlTQjF350Wv+Pko7K\nhe8p6baUprJTrdONxkKS7pV0rKSbJN0qaSdJ2wH/BHwg9UruL2mztLOuT9N+Kf2xkk6SdBFwKvBZ\n4PCU7k2S9pZ0jaSb0/87pnQ1Sefl8vihpCsk/VnS+1L4dpJ+L+m/0478saSDJF2ddvbeab0pKf31\nqZxDUvhbJZ0j6YK0/ldS+HHAYKrjj9bl/jYzMzMzs3Wn3UYj8J/AryPihcCLgd8DHwMuiYgdgcvS\nMpIOBl4QETsA7wS+k8I3AT4N7JOmz0jaMOX/HeDtKc0Okl5Ztj1Vj5a+WNL8ND+YmwcYrEhbTzMn\nt/yliDiL7PUSj0bEnpLeBXwoIt4h6bvA/Ij4j7ShPwG+ERHXSNoGuBDYOeW1B7B/RCyVdDSwZ0S8\nP6WbBsyKiJWSDgK+BBxWUL8dyXo3pwN/kPTtFP584A3AncANwBERcUBqGH4COBT4JHBZRPxjauVf\nJ+nSlH43YHdgWcr3WxHxMUnviYjVLX8zMzMzM+s/7dx2Kmk68NKIOBogIlYAT6W2yOy02qnAEFnD\n8XVpmYi4LvVSbkHWzrk4IualfC8BXiXpSmBaRFyX8joNeD1ZW6tQaaMxIsatzYbmLC5pJJ2T/r8Z\n+LtceH4XHwS8MNcCnyZpKlmj85cRsTSXJp9uI+A0SS9I644vKD+A8yNiOfC4pEeAzVPcPRFxB4Ck\nO8ha8gC3A9ul+VcAr5X0obQ8Edgm5XtZRMxP6e8EtgUeaLIfABgaGuLSy4dWL8+aXWPW7FpZEjMz\nMzMz60IlPYiteB7wqKSTyTqjbgL+Fdg8Ih4GiIiHJD07rb8l8Jdc+vuBrVL4/S2EP5DCmyptNKYu\nzaYi4omy+Ar1Bt/KknoImJlrHNbrBbAoX5WGdJ8na7gdKmlbslZ4kWW5+Xw98uWtyq23qqGufxcR\ndzfUbd+G9GXbt1qtVmPmAbWq1czMzMzMrMuVtRmfvPtm5v1pzc2Y+sD+tYgYyq2yAdldle+NiBsk\nfZN0K2qz4nhmBxpk7aOiWpSFN1XVmHmMrBW6skn89hXpR2o+2a2idRcD7wO+BtkoqRExt0m6abnl\n6cCDaf6YJmW1O1bRRcD7U/2QNCMi5lTku1zSBqmL2czMzMzM+lDZqzQ23WlPNt1pz9XL9174g6GG\nVe4H7o+IG9Lyz8gG1HxI0hapl/E5wCO59bfOpX8uWe/h/UAtF741cHkKf27D+g9SomognBOAecAF\nwNHA8yJi+/pUkRbWDPxSn4re7RisadmeBxxaHwiHrFG2VxoF6A6ygXLy6equAHauD4QDfBX4sqSr\n0zZGQbqgeYu6Mbwo/eeB8Wkgn9vIBuOpyvck4FYPhGNmZmZm1r8GpJanRhHxEPCX+mCeZI/s3UHW\nVjo6hR0N/CLNnwscBSBpJjAv3cZ6MfCK9IzjxsDLgYtS/vOVjcgq4B9yeRVSRGlPJJIGyFqoRwD7\npsK/HRH3lCa0kYolTfofJ6X+4KL4srhW05apyrdTaduxttu6Nvnm826n3E4d27E4Z6p08jwfabmd\nyrcq724+tt14HWonbTfWqSptp86LdnTTOdVv29NO2rG+no+VXryej7TcsT62XfgbrkfeZrjGK/7r\n2vJGVs7F75k5bPsk7QZ8H5gA/Jns7slxwJlk46jcB7wxN8jNicArgYXAMRFxcwo/hmwgT4AvRMSp\nKXxP4BSywU1/XR9QtJnKQx8Rq4DLJd0MHAl8DribrNfMzMzMzMzMctocCIf0SN7eBVEHNVn/vU3C\nTwZOLgi/Cdi11fpUDYQzlWwI18OBzchGPN0jIv5Sls7MzMzMzGx9VfJIY08qvT1V0kKyXsXT0/+w\nZsSdiIhzmqW1EWu5C9vMzMzMbD3Sc02wg797fcu/7X/9z/t0/fZV3Z56FlljZqc0NXKj0czMzMzM\nLKfNu1O7TmmjMSLe2ixO0hajXpv13OLlxeGD47P/yx52rkq7YOnwP3ZMnVh9NhelazXt4wuLn6Le\ndEpW6XU5iEQ9btGy4u2ZPCHbnkXLh8dPHp/F/fWpZcPiAJ6z4QQAFhbkPWVCa1eMTj0E//DTw0+M\nzadnJ0U751tVnYr2c30fP7qgOPFmUzdoWq96nf740KLhkcCOW0yurHPZsf3fR5cU5vu8zSZV5jt/\n6arCtNMmZoNTl50XTywsfpvRJlPGZXkvGZ73tElZvmX7uGhbYc32tvMZOf/2R4bFvfpFz26abz7v\nsmNb5emCfTF9UtUA4PBYk/PtWel8K9uPVZ+ReYuHH7+NBsdV1gngqcXDt2fDwWx7qvZj2TlVto/b\nGdii6px6cN7w6+OWG2XXxicXFZ/nG0/O9lXRMaofn7JtbWd7qs6LG+95eljcXttnbwTb6l0/L0z7\nwHcObVqvep3a+V4s209F5xOsOacenT887WbTmpeZL7ed74J2zvOycouunfXrZtV3TJmq3zxldaoq\ntyztPY8N/w7a/lnZ90/Vdaid3x5lqj63Zdr5fVH2Xd1rxvVZq3FEYyBJ2hA4jGxAnBcCW3WiUmZm\nZmZmZr2q3YFwuk1lo1HSZOAQsobiHsA04PXAVZ2tWneQtBK4NRf0uoj4vzby2w44LyJaHq3IzMzM\nzMx6R5+1GStHT/0J8FLgEuBE4HLgTxEx1PmqdY1FETFjrCthZmZmZma9YaDPWo1VD4TsAjwJ3AX8\nPiKKb3Bez0jaXdK1kuZKOkfSRhXhe6aw3wLvGdPKm5mZmZlZR0mtT72gtNEYEbuRvaNxOnCppKuB\naZKesy4q1yUGJc1J09kp7DTgw2n/3AZ8piL8ZOC9EbEffrWGmZmZmVlfk9Ty1Asqn2mMiLuATwGf\nkrQ32bON10m6PzWC+t3i/O2paTCgDSOi/kznqcBZkqa3GP4j4FWNhQwNDXHJZUOrl2fNrjFrdm20\nt8XMzMzVNaxBAAAgAElEQVTMzDqsR9qCLRvR6KkRcQNwg6QPkT3raM1fNqrc/1EQ/gy1Wo1996+N\nYrXMzMzMzGwsrFev3JD0mSZR9UbQlaNbne4XEU9JelLSARFxNfAPwFBEPN0k/ClJT0naPyKuAd48\nphtgZmZmZmYd1Su3nbaqqqdxIcOfwZsCvA14FvC5TlSqyxQ9g3g08N30OpI/A8dUhB8D/FDSIuCi\nJnmamZmZmVkfGOivNmN5ozEivlafT8/mvZ+sAXQ68PXOVq07RMT0grC5wEtGEH4zsHsu6LOjWUcz\nMzMzM+se61tPI5I2BT5AdlvlacAeEfFkpytmZmZmZmbWi/qszYgimt8pKelrwKHAScC3I2L+uqrY\nesi3rJqZmZmZDddzTbCjfnJry7/tT/v7F3f99lX1NP4bsAz4d+DfG7pZo+jWTTMzMzMzs/XZuD57\nqLHqmcaBVjKRtElEPDE6VVp/LVlRHD5pg+bx9bhFy4v/mDF5vCrTtlOnMouXF4cPjm+edyv5tpO2\nnX3cybRlRrvcdbE9nUpbdU6V6ZXj007adXF8Fi0bfq2ZPKH5dWbUyi24xtWvb2XG6vhUWbB0+PZM\nndiZ/bguzvOiz2bZtb6qXqOxj8u0sz3tfN+O9jFoNd+y7elkuZ06fk8vWTUsbPqkgZbqVKabvttG\n4/PTjm7aj6OxPWOhv5qM0FKjsAWXjVI+ZmZmZmZmPW1AannqBT3adjczMzMzM+tOPdIWbNlo9TT2\nJEkLGpbfKumEtcyrJum8ND9b0ktycadIekN7tTUzMzMzs14gqeWpF6zvPY2NDyaM1gimBwLzgd+N\ncr5mZmZmZtbleqQt2LL1uqexwOrDK2kzST+TdH2a9kvh+0i6RtLN6f8dn5GBtC3wT8AH0joHpKhZ\naf0/u9fRzMzMzKx/+ZlGQNLGwLsj4osp6KDRq9I6NShpTm55E+CXaf4/gW9ExDWStgEuBHYG7gJm\nRcRKSQcBXwIOq2cQEfdJ+i4wPyL+A0DS24EtImJ/SS8EzgXO7vTGmZmZmZnZujewPr1yIzWW/h3Y\nCvg58FPgc8BRaR6AiHi8g3XspMURMaO+IOloYK+0eBDwwtx9xtMkTQE2Ak6T9AKy206bDVqdP1MC\n+AVARNwlafPGlYeGhrj08qHVy7Nm15g1u7YWm2RmZmZmZmOp327nrOppPA0YAs4BXglcC9wB7BoR\nD3W2amNCDfMzI2LpM1aQ/gu4LCIOTbeiDrWY97Im5QBQq9WYeUBtZLU1MzMzM7Ou0ysD3LSqqtG4\ncUQcm+YvlPQwsHdELOlstbrCxcD7gK8BSNotIuYC04EH0zrHNEk7P61nZmZmZmbrmT67O7Wy51SS\nNknTpsDDwOR62DqoX6cVjZ5aD3s/sJekuZLuIBvcBuCrwJclXU22/6IhPcB5wKENA+EUrWdmZmZm\nZn1mQK1PvaCqp3E6cFNuWbnlAJ7XiUqtKxExvWH5VODUNP84cERBmmuBnXJBn07hQ6RbVSPibmC3\n3DpXl5VrZmZmZmb9Y726PTUitltH9TAzMzMzM+sLvdKD2CpFlN8pKWkC8BZgF2AVcCfwk8YBYqxt\nvmXVzMzMzGy4nmuCfezXf2z5t/1xB+/Y9dtX+kyjpJ3JGok14D7gAeBA4E5Ju3S8dmZmZmZmZj1m\nYARTL6h6pvFE4F0RcUk+ML3U/kSyBqSNkiUrisMnpaO0ePnwuMHxraUtip9UdfTbtGhZ8R9YJk/I\n/pgyFnVqx5OLVhaGbzx5HDB221NWbjt16lTaqnO1zMNPF3wIgM2nN3tdaufrtGh5k/N8fPUfDavK\nXVjwGZqSPj/zl64aFjdt4kBL+Zap2p6i+Hpc0TUKyq9TrR6DsutfO9qpUzufkXaOX+l5saQg30nt\nnxdVij6b9c9lO/ux6Huk7Dskn7ZMVdoFS4eXO3ViVu79TxbfaPXcjSc2zXs0rjWdOlc7uR879T1S\ndnzGanvaSVv2mW7nutqOqt88ZarqvL7os0caKxu3WzU2GAEi4lLgOZ2pkpmZmZmZWe8akFqeekHV\n3yIkaVLjexklTQKq/9RgZmZmZma2numRtmDLqnoaTwN+Jmn7ekCaPwv4UScrNhokLWhYfqukE0a5\njPMl+RUaZmZmZmYGrGfvaYyIL0h6L3ClpCkpeCFwfESMauOrQxpvEh/1EUoj4tWjnaeZmZmZmfWu\nXrnttFVVo6f+XUScGBHbANsD20fENj3SYCyy+uhJ2lbSZZLmSrpU0tYp/BRJb8ittyD9/xxJv5E0\nR9JtkvZP4fdK2kTSdpLuknSSpNslXZRu40XS3pJulfRbScdLum3dbraZmZmZma0r4wZan3pBVTU/\nVZ+JiKcj4ukO12e0DaZG3hxJc4DPsqa38UTglIjYDfgf4FspvFnv5N8DF0bEDGA3YG7B+i8AToyI\nFwHzgHrj82TgnRGxH7CioAwzMzMzM+sTGsG/pnlI41I75ry0vL2k6yT9UdLpksan8ImSzpB0t6Rr\nJW2by+PjKfz3kl6RC39lCrtb0kertqeLX3AwKhanRh4Ako4G9kqLM4HXp/kfA1+tyOt64Ifp4Pwi\nIuYWrHNPRNya5m8CtpO0ITA1Iq5N4T8BXtOYcGhoiEsvH1q9PGt2jVmzaxVVMjMzMzOzbjNKzyr+\nC3AnMC0tfwX4ekScKek7wNuA76b/H4+IHSQdntY7QtLOwOHAzsBWwKWSdiDrODwROAh4ALhB0rkR\ncVezilQ1GncquZUyIuLFLWxsN2k8fPnleu/fClIPrCQBEwAi4ipJLyVr8P1I0vER0TgYUP7lTSuB\nwYoyV6vVasw8oNbiZpiZmZmZWbdqt9Eo6bnAwcAXgX9LwQcCR6T5U4FjyRqNhwCfSeFnkzUIAV4H\n/DQilgP3SvoTsC9Ze+RPEXFvKuv0tO5aNxrvIWsk9deTnJnfku30HwNvBq5K4fcCe5KNEPs6oN7t\nuw3wYER8Pw0KNIMWRpCNiHmS5kvaNyKuY82BNjMzMzOzPqT2B8L5BvBhYHrKb1NgXkSsSvEPkPUe\nkv7/C0BErJD0VFp/S+DaXJ7359L8pSF837LKVDUal0XEfRXrdLOi5xPrYe8nu930w8AjwDEp/L+B\nX0q6DrgMqL+240DgQ5KWA/OBowrKaPY85NuA/06D6lwJPLXWW2RmZmZmZl2trKfxT3Ou5c+3XLd6\n+SMHfqsWEUP1ZUmvAR6JiDmSavUsC7KqtzWKSouS8LK8ClU1Gq+piO9qETG9YflUsq5cUmP4ZQVp\nHgFekgv6RGPahvWfl2afAF6cC/96brU70oA7SPoYcMNabI6ZmZmZmfWAso7GHfaYyQ57zFy9fPEp\n/znUsMp+wCGSDgYmkfU2fgPYSNJA6m18LllvI2Q9hdsAD0raANgwIp6QdD+wdS7feho1hG+dy6tQ\n1eip90h6e2OgpPdJ+teKtLbGq+uv6gD2B74w1hUyMzMzM7PO2GBALU+NIuITEbF1RGxP9mjb5RHx\nFuAK4I1ptaOBX6b5c9MywGFkd0vWw4+QNEHS9sAOZIN73gjskF4ZOIFssJxzy7ZHEc17IiXdAewR\nEUsbwicCN0bErmWZ24j4NRxmZmZmZsP13PgqJ1xzT8u/7d+3//ZNt0/SbOCDEXFIavidDmwC3Ay8\nJSKWp7bZj8jGXHkcOCI3yM0ngH8kG+zzXyLiohT+KuCbwDjgBxHx5bI6VjUab0/vHBxRnK0VNxrN\nzMzMzIbruUbjf11zb8u/7d+z/3Zdv31VzzSGpC0i4qF8oKTNcSNn1C1ZURw+aYPm8WVxraZtp05l\nFi8vDh8c316dqtJ2aj910/ZUxZfVuay+reY7Vvtx0fLiy87k8dXX2na2Z6T5VuXdarkjPX6jcXyq\n0hYdg/r+79R1CMr3RZluvK62W26nzosyo12nfNoFS4efU1MnNj+n1sX2lJ3n85esGhYHMG3SQNO8\nO/XZ7PZzdV0ev26/nnfjsS1T9V1dplP7ote0P3hqd6l6pvF44HxJNUnT0nQg8Cvg6xVpzczMzMzM\n1jsDan3qBaVt94g4TdKjwOeAXVLwHcCnI+KCTlfOzMzMzMys1wz0WVdjVU8jEXFBRMyKiE3TNKvV\nBqOkVZJOyy1vIOlRSee1U+kmZW0m6TpJN0naf4Rpd0sPg65NuedLml69ppmZmZmZrQ/GDajlqReU\nNholnZmb/0pD3MUt5L8Q2EXSpLT8crL3iHTieciXAXdFxJ4RMdL3S84ADh5JAiUR8eqIeHqE5ZmZ\nmZmZWZ+SWp96QVVP4w65+Vc0xG3WYhkXAK9O80cCPyWNgCRpH0nXSLo5/b9jCn+rpHMkXSDpj/kG\nq6QFufnDJJ0saTfgK8DBKa9Jkr4j6QZJt0s6Npdm71TWLZKuTb2EnwMOT+9SfJOkYyV9MJfmdknb\npHeZ3CXpv4CbgK0l3Stpk1zcSWn9i+qN5VTmrZJ+K+n49L5GMzMzMzPrQwMjmHrBuqjnGWQvlZwI\n7Apcl4u7C5gVEXsAnwG+lIvbDXhTSnO4pK1SeL6XMgAiYi7waeD0iNgjIpYAn4iIvVM+syXtml5e\neTrw/ojYHTiIrDf0UyntjIg4k+E9ofnlHYFTUzn/1xD3AuDE9CqSecAbUvjJwDsjYj+yd6R45Fkz\nMzMzsz4lqeWpF1QNYjsoaQ+ynsH6PPXlVgqIiNskbUfWy3h+Q/RGwGmSXkDWkMrX57KImA8g6U5g\nW+CBkqLEM9/hcrikd6Q8nwPsnML/GhE3pbotSPk3pi1zX0Rc3yTunoi4Nc3fBGwnaUNgakRcm8J/\nArymMeHQ0BCXXj60ennW7BqzZtdarJKZmZmZmXWL3mgKtq6q0fgQa16tkZ8H+OsIyjkX+Bowm2fe\n1vp5ssbhoZK2BYZycUtz8ytzdc330hU2XCVtD3wQ2CsinpJ0MlB/rrKol68xbAXP7IWdlJtfWFRm\nkzoPMvycKTyHarUaMw+olWRtZmZmZma9YH0bPfUjwN9HxIERUQNOAeYDtwOHjaCcHwKfjYg7GsKn\nAw+m+WNazOthSX8jaQA4tMk608kad09L2hx4FVnD8PfAlpL2AkjvnRxHtk3TcunvBfZI6+wBbN9i\n3YaJiHnAfEn7pqAj1jYvMzMzMzPrfhrB1AuqGo3fI/WeSZoFHAecCjyV4qrUnzl8ICJOyIXVe/a+\nCnxZ0tWpLlGwTqOPAb8CLiNrcA5Lk55xnEP2TskfAFen8OXA4cAJkm4BLgImAlcAO6eBcN4InA1s\nImkO8M/AHxq3qclys7i3ASdJqo/q+lSTbTMzMzMzsx43MKCWp15QdXvqQEQ8keYPB74XEWcDZ0ua\nW5V5RAx7f2FEXAlcmeavBXbKRX86hZ9K1jitp3ltbv5sskZdY76NaQp7LiPiRuAlDcGLgH0awv5f\nUXrgxQ35PS/NPpGPi4j8rbx3RMRuAJI+BtzQJG8zMzMzM+txvTIqaquqGo3jJI1PPXQHAe8cQVpb\n49WSPk62z+4F3jqmtTEzMzMzs47plVFRW6WI5m9/kPRJsncsPgZsDewZEask7QCcEhH7r5tqrhf8\nGg4zMzMzs+F6rgV21i0Ptvzb/o27b9n121faWxgRX5R0ObAFcHFErEpRAt7X6cqZmZmZmZn1mn7r\naay8xTQiflcQ9sfOVGf9tmRFcfikDZrHl8W1mrZT+q1OV9/9ZGHaA3bYuDJtJ430vGi1Tp1KW3UM\nyixeXhw+OH7s6lSVtqjO9fpWbU9Zncvy7eS1ZN7ilcPiNhoc13a5C5cV/0F2yoTsS3fR8uHxk8dn\nce3si3a08xlZl8dvNM7zKosKjt/kdOyeXrJqWBzA9EkDTetVdl7Uz4lOfm7Lyq3annbKHWna0fgN\n0Mnv6k6lHavzolNpO3U9qNKp60XR9RrWXLM79bul26xvzzSamZmZmZnZCPRbT+OYNoIlrUyvubhN\n0pmSBseyPnmS3irphILwYyV9sCHsXkmbrLvamZmZmZlZtxpQ61MvGOue00URMSMidgWWkb0TsZKk\nddFD2uzh1aJwD2JjZmZmZmYADKCWp14w1o3GvKuBF0iaLOmHkq6XdLOkQ2B1z99Zks4FLpS0haTf\n5Hoq90/rHSnp1hR2XD1zSQskfUHSLZJ+J+nZKfy1kq5NZV1SD18bkqZIOj+VcZukN6XwPSUNSbpR\n0oWStmhnR5mZmZmZWfeSWp96QVc0GlPP4SuBW4F/By6LiH2AvwWOlzQ5rToTOCoiDgLeDFwYETOA\nFwNzJW0JHAccCOwO7C3pdSntZOB3EbE78BvgHSn8qoiYGRF7AGcAH6lXa6SbkbbhgYjYPfWeXihp\nPHAC8IaI2As4GfjiCPM2MzMzM7MeoRH86wVjPRDOoKQ5af43wA+B3wGvlfShFD4R2IbsFtBLImJe\nCr8e+GFqlP0iIuZKehlwRUQ8DiDpf4BZwC+BZRFxfkp7E/DyNL+1pDPJXisyAfjfijo3uxV1FVmj\n9/jUw/mriLha0ouAXYBL0wOx44AHGxMPDQ1x6eVDq5dnza4xa3atoipmZmZmZtZteqUHsVVj3Whc\nnHoKV0sNq7+LiLsbwvcFFtaXI+IqSS8FXgP8SNLxwNM8s4dQrGnk5Qc0XsWabT8B+FpE/ErSbODY\nijo/DjynIWwaMC8inpS0B/Bq4MuSLgZ+DtwREfuVZVqr1Zh5QK2iaDMzMzMz63a98qxiq7ri9tQG\nFwHvry9Iqjcqn7HnJW0DPBYR3wd+AMwArgNmS9pU0jjgCODKivKms6bn760t1O83wCGSpqZ6/B1w\nS0SEpOcASyLif4Cvpzr9AdhM0sy0/nhJO7dQjpmZmZmZ9aB+e6ZxrHsai271/DzwTUm3kjUU7wEO\nSevm168BH5a0HJhP9qzjQ5I+DlyR0p4fEecVlJXP61jgLEkPANcC2xassyZhxG2STgSulhTAw8Db\nU/SuZLenriIbDfZdEbFc0mHAtyRtSLbPvwHcWbVzzMzMzMys9wz0SmuwRWPaaIyI6QVhSyh49UZE\nnAqcmls+DTitYL2fAj8tKysizgbOTvPnAudWldcQdxJwUkH4xcDFBeFzgdlFeZmZmZmZWX/plfcv\ntmqsexrNzMzMzMz6Sq+MitoqNxrNzMzMzMxGUZ/dnYoimr1BwtYxHwgzMzMzs+F6rgk29IcnWv5t\nX9tpk67fPvc0mpmZmZmZjSI/02gds3h5cfjg+Oz/JSuGx03aoLW0i5YN/2PH5AnVZ/P8JasKw6dN\nqn5by5OLVhaGbzx5HFC+PUVxVfGtxFXtp6L4etzCgn0IMCXtx0XLC/bx+NauGJ3aFw/OWzYsbsuN\nJrSUb9m+qEpbdr499HTxQdhi+vimedfz/csTSwvTbr3JxMq0ZdvTzrm6YGnxeTF1Yra9RedN/ZyZ\nv7TJ52ti9vkq249F5dbLbOdaUnWe33jP08Pi9tp+etN883m3c56XbW+ZpxYX7+MNB9M+LvncVtWp\n6PjVj12VonOu7HzLl1tW57LzrZPH5/4nh382n7vxxKZ1ytfrkfnDT9hnT8tO1naOT9n2PLqgOPFm\nU7MVbn9gwbC4F201FYDBGe8tTLt4zomV5bZzrSk7tlX5tnO+tXNedOp8LPpc1z/T8xYX74uNBscV\nF5hTdM2FNdfdss/8o/ObnFPTskqXfQeVfX6q6rS2v++qVH0/tfNbqyxtp7ZnLPiZRjMzMzMzM2uq\n33oaW/uT6HpE0kpJcyTdJunc9G7FsvVfJ+mFLeT7T5LekuZPkfSG0aqzmZmZmZl1jwGp5akXuNE4\n3KKImBERuwJPAO+pWP9QYOeqTCPiexHx4/oiHvjGzMzMzKwvaQRTL3CjsdzvgK0AJD1f0gWSbpT0\nG0k7SdoPeC1wvKSbJT1P0jskXS/pFkk/kzSY0h8r6YO5vHvlHDEzMzMzs5Hos1ajG41NSBoHvAz4\nZQo6CXhfROwFfBj4dkT8FjgX+FBE7BER/wucHRH7RMTuwF3A21J69y6amZmZma0HNIJ/vcAD4Qw3\nKGkOsB1wE3CppKnAS4CztOa+4wm5NPmjvaukLwAbAlOBC5us9wxDQ0NcctnQ6uVZs2vMml1b640w\nMzMzM7Ox0SOPKrbMjcbhFkfEDEnTgV+RPdN4CjAvImY0SZPvQTwFOCQibpN0NFBrst4z1Go19t2/\n1izazMzMzMx6RL81Gn17ahMR8TTwfuBDwGLgHkmHASjz4rTqfGB6LulU4CFJ44G3sKah2EN3LZuZ\nmZmZ2dpq5/ZUSVtLukLSnZJul/T+FL6JpEsk/VHSxZI2yqX5lqS7Jc2VNCMXfnRa/4+SjsqF75ne\nFnG3pP+s2h43Godb3RsYEbcAc4HDgTcDb5N0C3A7cEha7XTgw5JukvQ84FPAdcDFZM805vONhmUz\nMzMzM+szUutTgeXAByJiZ2Am8J70ir+PAZdExI7AZWkZSQcDL4iIHYB3At9J4ZsAnwb2SdNncq8T\n/A7w9pRmB0mvLNse357aICKmNywfklt8VcH6vwV2yQV9N02N6302N39M+zU1MzMzM7Nu1M7thRHx\nEPBQml8g6S6yNzocAsxOq50KDJE1HF+XlomI6yRtJGkL4EDg4oiYByDpEuBVkq4EpkXEdSmv04DX\n88yxWJ7BjUYzMzMzM7PRNEoPpUnaDphBdifj5hHxMGQNS0nPTqttCfwll+x+skbmlmm+KvyBFN6U\nG41mZmZmZmajqOxVGjf+7ipuvPaq1csn/edxtYgYGpZH9gaHs4F/iYj5aj66TtHYKVEQVhXelCL8\naF2X8IEwMzMzMxuu5waTvOX/5rf82373baYN2740qOavgAsi4psp7PdALfUyPge4IiL+RtJ3gaGI\nOD233myy21NrEfHPKfx7wOXAlSntC1P4kcDs+npFPBCOmZmZmZnZKGpnIBxlXYo/AO6sNxiTc4Gj\n0/zRwC9y4UeltDPJXhX4MNnAnK9IzzhuDLwcuCg9Mzlf0r6prH/I5VXIt6d2kcXLi8MHx2f/L1kx\nPG7SBq2lLYqvx7VTpzJPLV5VGL7hYPa3irLtqVKWdqRxraZduKz4D0ZTJmSf9rXdx1XltlPnRxcM\nj9xs6gZt51uVtmxfzF9afF5Mm1h9Xjy9pDjt9EnVacviFjU5tpMnVP9hs5Of26J61es00rh8fOm+\nWN4k7fgs7b2PLRkWt92zJjXNN593O5/5JxetHBa28eRxlfm2U6d2jm1VuUX7ub6PK9OWHPt26lSm\nKu2CpcPrNHViOh8rzqn7Hl86LG7bTSdW5tvO9sxvci2Zlq4lTywcfr5tMiU73x6Yt6ww7VYbTWha\nr1Y/XyNNW0/XyXO1G9OWXQ+qvqs7Vad2rrtF5+O0ku+1fNqi78X6d2I72tme0b7+tfo90W3Kbk9t\nwf5kr+67VdKcFPZx4DjgTElvA+4D3ggQEb+WdLCkPwELgWNS+BOSPg/ckPL4bH1QHOBdZO+XHwR+\nHRFNB8EBNxrNzMzMzMxGVfPHD6tFxNU0vyP0oCZp3tsk/GTg5ILwm4BdW61T396eKumT6WWYcyXN\nkbTPKOT5WUkvG436mZmZmZlZf9IIpl7Qlz2Nkl4CvBqYERHL04stJ7aYdlxEDL/vAYiIz4xiNc3M\nzMzMrB/1SmuwRf3a07gF8FhELIfsft6I+KukPSUNSbpR0oXppZeksC9KGgI+Keme9FAokiZL+j9J\nG0g6RdIbUvjekq6RdIuk6yRNkTRO0vGSrk89nO9M6z5H0m9Sj+dtkg4Yk71iZmZmZmYdpxH86wV9\n2dNINlLQpyX9AbgUOAP4HXAC8NqIeFzS4cAXgbeRve5iw4ioAUjag2yY2iHgtcCFEbFCUgAhaQJw\nOvCmiLgpvUNlScprXkTsI2kicLWki4G/S3l8KTVGp6yb3WBmZmZmZutaO880dqO+bDRGxEJJewIv\nJXs/yRnAF4BdgEtTJ+I44MFcsjMa5g8nazQeAZyYixOwE/DX9AApEbEAQNIrgF0lHZbWnQ68gGzE\noh+m9638IiLmNtZ5aGiISy4bWr08a3aNWbNrI994MzMzMzMbU2409oiIWEX24sorJd0GvAe4IyL2\na5JkYW7+PODL6X0me5C9BHNYEU3yeW9EXNIYKOmlwGuAH0k6PiJ+lI+v1Wrsu3+tbJPMzMzMzKwH\n9Mptp63qy2caJe0oaYdc0AzgLuBZ6YWXSBovaeei9Knn8HrgW8B5EZFvIAbwe2BLSXulvKZJGgdc\nBLxb0ga5ekyWtA3ZM5bfJ3tR54zR3F4zMzMzM+seUutTL+jXnsapwAmSNgJWAHcD7wROAr4laUOy\nbf8GcGeTPM4AzgRqjRFpRNbDUxmDwCKyd6Z8H9gOuDk9u/gIcGjK48OSlgPzgaNGZSvNzMzMzKzr\n9EhbsGV92WiMiJuB/QuiniAb4KZx/QMLws4me+4xH3ZMbv5G4CUFZXwyTXmnpcnMzMzMzPpdn7Ua\n+7LRaGZmZmZmNlb67ZlGNxrNzMzMzMxGUa88q9gqPXOMFxtDPhBmZmZmZsP1XBPsz48ubvm3/fM3\nG+z67XNPo5mZmZmZ2Sjy7anWMUtWFIdP2qB5fFlcPn7x8uFxg+NHVr+RWris+A8sUyZkH6Ky7aky\n0n3R6n4qSzt/yarCtNMmDVSmrdJr+2K069Rq3kXnMbR2Lpd9BtqpUyc/t2NxbKvSPrlo5bC4jSeP\n63i5a3sNG6vzvJ20VXVetHz4tXXy+OrraifP83Y+X08sHH5ObTJlXNv5lqlKO2/x8DptNJjV6S9P\nLC1Mu/Um/5+9M4+7rZz7//tzSnNHKFIaiCYqiqR5IHnQJBWJBjJWEvkZO8WTuUfDY2hQSUKhUZQ6\nR7M4zSlDg5ColMYnqs/vj++1zl73vvfe69pr3eOxPvdrv+691l7fdV1rvK7v9Pku3LjdYWUn4pmf\nirKP9phfLDZgblGWHYTxPJ5BGPaZzu1TE4zneRxWdiyOZzIwv4WnTtPL0KJFixYtWrRo0aJFixZT\nEwCD04AAACAASURBVPOZzji+SqOkZwE/T4vLAk8C9xD5e+vb7mOLmHhIWgdYzvZ5w2wn6Y3Amra/\nMAHdbNGiRYsWLVq0aNGixVTHfKY1jqvSaPs+4GUAkg4GHrJ9ePG7pAVsj44BmWBIWpDo53rAQKWx\nezvbZwNnj2sHW7Ro0aJFixYtWrRoMW3Q5jQ2gySdCPwDeClwtaTvA18FFgUeA/a0/TtJewDbpvWr\nAD+2/VFJCwDHE4qbgeNtHyFpDnANsD4wE9jL9q8kPRP4FvB84FFgH9s3SJoFLAesBNwLbAwsKmlj\n4HPA7d39Au4ADgUWKW23GLCe7X0lrZTaWprwqO5p+0/pmP8JvJzwuB5k+4djeWJbtGjRokWLFi1a\ntGgxNdDmNDaHgRcCW9m2pCWBTW0/KenVwGHATmnbdQjl8l/AbyUdBTyHCA9dC0DSzNJ+F7O9kaRN\nCOVtLeAQYK7t7SVtAXyb5P0E1gU2sv24pHcQyt9+ab+j+mV7J0mf6truHaVjOxo40fbJkvYEjgR2\nSL8tm/q2BnAW0CqNLVq0aNGiRYsWLVrMh5jRKo1jgtPcKRC5FPBtSS8kFL9yny60/RCApN8AKwK/\nAV4g6UjgXOD80vanAti+RNJMSU8HNgJ2TOtnS3pWUjQNnGm7oEETI6OP+/Wre7syNgC2T9+/A3wx\nfTdwRurDzZKe0y04Z84cfn7RnHnLm262OZtutnmfZlq0aNGiRYsWLVq0aDF1MX9pjZOlND5a+v4Z\nQjncIYV3zin9Vua1fhJY0PYDiYzmtcD7gZ2Bvfu0Y3oreYXC+miPdTn9GoRyW+V9/qvPNgBsvvnm\nbLDx5plNtGjRokWLFi1atGjRYqpifgtPnTHZHSDyD+9K3/es2FaJkXUB2z8CPk0n1FTALmmjjYEH\nbD8IXAzsltZvDtyTvJfdl/IhYMmMfj3YtV15P5cDu6bvuwGXVBxPixYtWrRo0aJFixYt5jNoiM90\nwGQpjWUP3BeBz0m6NPXHpW26vX8GlgdmS7oGOAH4WOm3+yVdBnyNjvdxFvBySdcR+ZLvKG1f3v9s\nYE1J10jaeUC/urcr72c/YM/U1m7A/n2OuXfV+xYtWrRo0aJFixYtWkx7SPmf6YAJC0+1fUif9VcC\nq5VWfTqtPwk4qbTdG0vbrNenmdNtf7xr//fTyTPs25+03fpdm/XqV6/tTkq//RHYqkdbe3Ytz+ze\npkWLFi1atGjRokWLFvMH2pIbLVq0aNGiRYsWLVq0aNGiL6aLBzEX843SaHuLye5DixYtWrRo0aJF\nixYtWsxvSqM6lS9aTDLaC9GiRYsWLVq0aNGixWhMOxXsnoeeyJ7bL7PkglP++OYbT2OLFi1atGjR\nokWLFi1aTAlMeTVwOLRK4xTC/z3Re/0iC/b/fdBvubJN+jResnX2PRZ9moxzPJ4Yr+OZqrKDMJH7\nrdr3eJ2L6Xw8dfo1vx7PZN0X00V2vMaQJn3K7ddkvcOm4/ti2Hb/U49nsp6RJrKT8cxPBuYznbFV\nGlu0aNGiRYsWLVq0aNFiLDG/5TROVp3GWpD0P5L2Ly3/TNKxpeWvSDpA0tlD7neOpH5lPOr0cw9J\nR43V/lq0aNGiRYsWLVq0aDF9oCH+pgOmldIIXAZsCCBpBvAsYM3S768CnlZjv2ZsiWhaUpsWLVq0\naNGiRYsWLf5DIeV/pgOmm9J4OUlpBF4M3Ag8JGkpSQsDawDXAEtIOk3SzZK+UwhL2krS1ZKul3S8\npIW6G5C0taTLJc2V9ANJi6f1n5d0k6TrJH0prXujpCvTPi+Q9Owe+1tG0umSrkqfDbu3adGiRYsW\nLVq0aNGixfyDVmmcRNi+C3hC0gqEV/EK4Kr0/eXA9cC/gJcB+xNeyBdI2lDSIsAJwM621ybyOd9b\n3r+kpYFPAFvZXg+YC3xI0jOA7W2/2PY6wGeSyCW2N7C9LvB94KBiV6XdHgH8j+31gZ2A48bujLRo\n0aJFixYtWrRo0WKqYX4LT52ORDhFiOqGwOHA8un7PwlPJMBVScFE0rXA84FHgNtt/yFtcxLwfkKp\ng1D0NiAUzcsVav9CaZ8PAv8n6TjgXOCcJLOCpB8Ay6Ztb+vR31cDa6hjRlhS0uK2HylvNGfOHH5+\n0Zx5y5tutjmbbrZ57jlp0aJFixYtWrRo0aLFFMF08SDmYjoqjZcDGwFrATcAfwI+TCiNx6dtHi9t\n/yS9j7PfpbzA9ltHbSytD2wF7Ap8IH0/Cviy7XMkbQbM6tPOBrYf7/HbPGy++eZssPHmgzZp0aJF\nixYtWrRo0aLFNMB8pjNOr/DUhMuANwD3OXA/sBSdcNVe18jALcDKklZJ63YH5nRtcyWwUbGNpMUk\nvSjlNS5l+zzgAGCdJDMTuCt936NPf88H9i0WJL00/1BbtGjRokWLFi1atGgx7aAhPtMA01FpvJFg\nTb2ytO564AHb/0jLo9hLk6dvT+A0SdcDTwDf6NrmXkL5O1XSdYQSuhqwJHB2WjeHUBwhPIunSboY\nuKfUbpmNdT/g5YlA5yZgn5yDvPgXc3I2G3PZOXMmXrZJm5N1nqbbOYbJOd7peI6n4z013c7VdDxP\n0+0cT5Zse47nX9nJOsfttZ0Y2ek2h5sOaJrTKGkbSbdI+r2kj05w90dh2imNtp+0/XTbny6t29P2\nGun7HNvbln7b1/a30/eLbK9re23b77T977R+C9tXp++zba9ve530Ocf23bZfmZbXtn1y2vYs26vY\n3tT2Qba3TOtPsr1f+n6f7V2T7Ittvy/nOKfbS6OJ7H/agNAqjeMvO93O02TKtkrj+Mv+J92P7Tme\nf2VbpXH+lp1uc7jpgBnK/3RD0gLA0cA2BN/KWyStMbFHMBLTTmls0aJFixYtWrRo0aJFiymNZuGp\n6wN/sH1HcnJ9D9hu/DvdH9ORCGe+xSKlq7HgjJHL3b+PpWxunyZSNnffvY41R66f7GSc4/HEoD5X\n9XcsZOucpyayOfut+m263FNNrs8gTNZ9kduv6XJ9hunXWLbbPvN5GM/7okm7dWXH89rm7nfQ71Pp\n+cnd71S5L5pc2yaYjvfFVEPDUhrLE2SfBf4MvLJRh5rCdvuZgh9g8/8U2enW31Z2arfZyk592enW\n31Z2arfZyrbXtpX9z7svpvsH2JzgRik+m3f9vhNwbGn5bcCRk9lnpY60aNGiRYsWLVq0aNGiRYtJ\nhqQNgFm2t0nLHwOesv2FyepTm9PYokWLFi1atGjRokWLFlMHvwZeJGllSQsBuwBnTWaH5qPI4RYt\nWrRo0aJFixYtWrSY3rD9hKQPAD8DFgCOt33zZPapDU9t0aJFixYtWrRo0aJFixZ90XoaW0wLSHrm\noN9t/2Oi+tKiRYsWLVpMN0ha3PYjk92PFi1aTE+0nsb5CJKeDSxSLNu+M1NuE+CFtk+QtAywhO3b\nM2UXAJ5DyQCR066ktYhipYsATnLfHrD9HcV2vWD7+Zn9XRZ4RdrXVbb/niNXp8895Ie+PpJmALsB\nz7d9qKQVgWVtX5Xbbh2kvh4EvJhOn217ywq5DwCn2L4/LT8DeIvtr2W0+Wbbp1WtGyD/TOBFwMLF\nOtsX58g2Rc1ruzFwre2HJe0OvAw4wvYfM9t8A53rU9yPhw7Y/sABu7PtwzPaXBTYm9H3xV4VcqsB\nHwZWpvOuqLyfxkD2VcCRxHO7EBHi87DtmQNkTrP9Zkk3MvqdY9trZ7Rb6zzV7XNJdjXga8Q74sWS\n1ga2tf3ZKtkkP9Q9VZKr9exJehPweWIMKbjpnXmsTc7TS2zfWLVdH9lGz23aR92xuu553hA4DljS\n9gqSXgrsY/t9uX0eFukY38Xo57byGUjyKxPzkp9LWgxY0PaDGXK1n70kX3uOkOSXTO09PITMqsBh\nPfr8giHbnkHM3yrPUxNI+iBwAvAgcV+tC/w/2z8bz3ZbTAFMJnVr+xlBrfsm4PfEQ/hQ+jyYKbtt\nkn0EuB14CrgpU3YWcDbwu7S8PHBZpuy+wL3Ab4Abik9mm7OBvxMvnruB0yfgHO8M/BH4dvrcAbx5\niPNUq88Nr883iEngLWn5mcCvM2WfDXwZOC/1fTZwUabsBcA7gVuAzdIxfzFD7roe667NbPOanHV9\nZN+V7r/703E+NsSxrgqcDtycrs/twG0TcG1vICbK6wDXA/sDv8iU/Wa6h/8MHAzcSOQ7VN3DB/f7\nZLZ7OvAZ4DbgHek+qaQAT8f3XqLG1MvTZ73MNpvIziUm2dcQSsWewGEVMsul/yv3+oznearb55Ls\nxek8XZOWNcT9OPQ9leSaPHu3AmvkbDvG5+ky4FfA+4Clhmy3yXPb5H3R5DxfBaxI6X2a0y7wqnSe\nHgH+nfqbOy+5AvgCMe7ulD5vypTdJ7V7a1peFbgwU7bJs9dkjrBWuhfvTJ+5wEuGuB9fne6nlYh3\n9aGZsqcCM4HFifH6buCgTNleY8GnM+SuT/9fSxCzvJT8sbr2PdV+Jv8z6R1oP+lCNBs8rweWpjNR\n2IJSbZcK2esIFt3yYHL9EH1+Vo3+3kgM8tel5ecA51TIrJ7+r9vrM8R5enZpeZkhjnXoPo/R9bmm\n/L+4ZpmytRS/JHt1970AXJx5rDNKywtQMTkBXgccRSjkR6bvRwEnEpbe3OuzKElBBVYHfpAp22TA\nHotrezDwzvJ5z5C9oXx9gCWAC3Jkm3xK57do92nA7Ay5uQ3abCzbdR9fkSm7N/CiiTxPY9DnX5fv\nrXJfxuueavrsTca1TduuSng5byUm3ltnyjV5bpu8L5qc56t63BeV4wjNFPOs+66P7HWEN7Xc30qD\ndLndms9ekznCFcAWpeXNgcszZYvx9obSuktzz1X6vxtweDre3HP1YeDA9PkkcCXwrQy54l1xJLBj\n9701XvdU+5n8T5vTOHVwt+uzIv3b9r2SZkhawPZsSV/MlH3c9lNSRAZJWnyIdu8kPKPD4jHbT0p6\nQtLTCWWhKgzjQMLSeji9w1S3yGhXwD2l5fvohERVoU6fCzS5Pv9KIcAApPDhpzJln2X7OEn72f4F\n8AtJueGa/0r/704ha3cRXugqnA98X9I30vJ7gJ9WyNxFDCTbpf8FHgIOyOzv/9l+TBKSFrF9SwrV\ny8GijhAoOULMZkm6FPh0hmyTa/uQpI8TBXs3kbQgMeDn4LH0/1FJyxP38so5gg1DGIv74p8pXPtu\nQtGuwtmS3g/8CHi8WOm8XOQmso9IWhi4Ll2Xu4HFMuQgzuduKUzu18AlwCW2r82QrXuemvb5Hkkv\nLBYk7QT8NVO27j3V5Nn7taTvA2fQOWe2/aMM2SbnCdu/k/RJ4toeCbw0hfd93PYPB4g2eW6bvC+a\nnOc7JW0EkM7ZvkRkRSVs/z719UngBElXZLZ5jqTX2z43c/syHrf9eGlesiAD0lO60OTZazJHWMz2\n7GLB9pwh5lOPpXH+DynF4y5CYc3BgpKeBmwP/K/tf0vKOle2v1xelvQlIvKsCnMlnU/MgT4maSb5\n85Im91SLSUarNE4dNBk8709x9JcAp0j6O+H2z8Fpkr4JLCVpH2AvIkY9B7cDsyWd29XnqtyoX6Vc\nt2OJAfsR4JeDBGy/K/3fPLNvvfBT4GeSvksMBLsQoZs5GLrPJTS5PkcBPwaeLekwIsTnk5mydRU/\ngP+WtBShrB9FhL/kKHAfJUKL3kuc4/OpuJ9sX0dM/E4hvN6rExOEW2z/a5BsCX9O1+cM4AJJ9wN/\nyZRtMmA3uba7AG8F9rJ9tyJf9csVMgXOScf7JTqK9rGZsscCHyFCnyFC3k4FcpTGY1Ne1SeJsKQl\ngE9lyO1BXNMPd63PyUXuJWvyjDZvJ+6pDxD37/OIVIBK2P4UzMuR2ofI8f0qYR2vQt3zBLB73T4n\nmWOA1SXdRbyjd8uUrXtP/anBs/d0Qlndumt9zrhX+9pKWoe4r95ARGS8wfbVkpYjvC2DlMZdgLcw\n8rn9Uk67NHtfNDnP7wWOIN7/fybey+/PkGuimH8Q+Likf9E5Rjsj55QwcH4CWEzSa4gw4hxlBpo9\ne03mCLdL+hRwcpLdjXj+cnAAcV73I0JrZxKhtTn4JhFGez1wcTJy/TNTthuLk/dO3ovI5b3V9iOS\nnkV4DHPQyNjTYnLREuFMEUg6MX0dcUFsVz6IkpYgBt6CNGUmQUZyX2bbW9MZtH9m+4JMuVldfVZ0\n2YfkyKd9PJ9Izr8+c/vbgC/Z/npp3Tm235AhK2BHYKPU14tt/zi3r119npmUnZztm16fNYCt0uKF\nuR5pSW8kJicr0FH8Ztme1OKw/SDp9YQic1ta9QLg3bZ/MuR+NieO9ac5Sqek9Qmr+1J0Buwv2r4y\nQ7bRtR0LSFoEWMT2A5nb/9r2yyVdY/tlad21tl+aIbug7ScadnlaIE0ANyQmndcSz9Kltu8a53Z3\nBM61/Xjlxv33sTgRJv5QTfmh7qmS3OYM8exNFhQRF8cReemPdv32dlcQnKk+ScuYvC8m6jyn4/wb\nQTR0QGrza7b/MF5tpnYXIMLD581LgOM8zhPW0hxh47Qqe46QFNVDKM0viPH2/vHo64B+CFgg5z0t\n6YbS4gyCB+FQ20f12X49BhMSXp3R5spMwj3VYmzQKo3/4UgToxNt/6m0bh/bx4xzu8sTISML0lE2\nc1jgfktM4B4F3pNCWOZNfitkFydCfJ5MYT2rAefZ7mvplbSG7Zslrdvr95yXZB1odImRecyCqd1x\nLTEi6STggx7JgvoV92GgU4dx8oYeP9t5jJO/BV5fDB6SVgF+YrsyBEvS8cDRtq8prZtle1aV7GRB\nHfbHNYj8nRxmz61sX6hgnRz18s6JTJB0HhGedprtlylCGPe2/boM2dsJookTbP+mavsu2ZfQYR8u\n+lvJPixpIcJTsilxzL8AvlHx3I4FA+o1hIfkXGICeIXt/6uQ2d32yRrJVGs677gchtoTgS2J4/we\nYcjLUtQlHVxub14HBrPqNrqnkqdtFJzHIFwwXa5J5OsV77ccltk3Aocymp0zx5NVGyki513AM22v\nomC+/LrtrSpEx6LtlwKbpMWLhzBcNmIyrYs0bryIkc/8uDBaj8WzN9GQVPaeFn0tvmN724x9LAv8\nN7C87W0krQm8yvbxGbIrldp8AvhbxXt1TurbosB6hHcTYG3gl7Y37iPaYj5BG546RVBn8JR0me2N\nJD1M74lRzuC5L/AWSR+wfVFa914ixKmqz0VZhqLPRbtVZRm+QIR9/AZ4svRTzmDyqO1dJB1EhGLs\nkiFT4BJg4zSQ/ZwIM92FweFbH6JmLmWf61Kg6vpcPUAWBoSQSPqo7S9I6mUttO39Buy3wDplC6nt\n+/spzgn7p/9vzNh3P/yty9p4G2GRzME2wMslHW77pLRuO4LUZiBUo6RDw2tb4GhgV+AHBCPo24kJ\n1iBsClxInOde7eeE9TUJYVwn9fm45A34FnBqlZclRSVsRlDKn0uQH11KMBRW4evEdflfYoKze1r3\nzgEyxf34evJzkkYgKdRLEl6H1xBhb3dXTIyKMKslGXl9xODnudzuHklRfh0Rvvx1SRfY3jtD/JFS\nO4sS4ZdVyn3Te+onJblFiHfTb4lrXYWTCS//NoSX5m1k5toRocI7ADfazs6ngsYlDt4PrE+EsRa5\nkc+uaK/x+0LS/sRY9CPifvqOpGNtH5nR5zOJ8fUCOrlnfe/HMTICvosIt1yBID3ZgCCLySmVU8cg\n0PjZk9TLM/9Pgu3zQNu39fi9kD2b0Yrfg0n2m30MTl9J/3cAlgW+k+TfQoSc5uBEguTuE2n598SY\nUqk0Ap+1vXvXcZzcva6AU3qQpO8B77J9Q1p+CZHy0BdjcU+1mALwFGDjaT+GBjTRDdu9hvD4XUWi\naSafBatuWYbfAQvX7W/p+1bE5OSeYWQJRbk41toMb0P0+TNETsbM9Hkv8NFxbO+N6f8ePT7vyNzH\ndYQlvVh+JpmMbA36/XViAlr09VxCWd+RxNA26Nqmc3sOQfLytCHu49olHRoebyP2xzFof3EiNLyu\n/GZETtWjwElEuF6/bRuxD+es67HNgsDPGxzfWum5/R7wB2AOmay6Y3R9FiIUuR8D99bcx8LA+RPV\n59TmusAxmds2YbqcQ4Th1eljE8bkEUyk6T7LZdisPRYQuceLl5YXz30nM+Q4x9iUnWnC9nor4b2a\nMUy/m34IRfXdpeuzD0GItiswp0L2SOC76ZndFjiFUAq/BpxcIXtJzro+sk0Yk6/pWl4Q+E2GXK/S\nWgPZeMfinmo/k/9pPY1TBy+0vZOk7WyfpEjEPj9XOFn9n0PJe+zMgsG2/yhpU+Abkk6n4zWsQl12\nzluJCVGdnJ2Diy+OkKqtyU8YL0ICdyO8ulBBatEvZKvUhxzPzmttr19a/rqkq4gaVv3aXd3Bjjd0\nWKzts9P/E9O+ng485eHym74CXC7ptLS8MxEC06+/Y+F5W5Rgpd0sLd8DPIOO93Lgubb9YLJQzyIm\nlE/PaBOC0fDr1Zv1h+oV665NCJC8DicQDLPHEaQEH3NmcWUFMdKawCJKDIXOK+K+IOG925MY7L9C\nTJQ2JhT+VfuINmEffkLSCz0ybLkyXNP2E5IelbSUh8zNS/g84Z05kpiYZeeONQkHlPQ6IgJiS+I+\nPhZ48zAdLyGX2AJJSxPv142JZ/kSQpEaKt/OQSjziszNmzBdfgT4SQqZG4aIDZoxJv9C9Ulahh4L\nuvBUn+9VGIrJ1Clv1/YdQ7TRjSZsr38iSjUN5UGGxqG423Rdn2MkXWn7UEkfq5B9me1NSstnSbqE\n8OTfWCG7tKRVbN+ajuEFRGmWHDysIKIhyW5ABRGOgv33Y8CiXd7Vf5MRZQbcLOk4wjMKMacaGNFQ\nvqdSSO0riXv4V7bvzmizxRRAqzROHdQePCXtSwz2f2dkuOdaGeJzARyhE3soqO0HhSH26vOw7JyP\nAddKupCO4mhnhE3aPkuR7/ciwooOkfuTgw8SL8of274pTT5nV8gUIVvPJkgxihDeLYgJXY7S+KSk\ntxEMlRBWy6pJb+MSI2ni9i3CYoqkB4jctV9Xydr+tqS5dEKJdvCAHDbbS1TtMwMHDjtBLaFQlA0c\nLOlXRGhxlqxqlnSQtC2hOC1HPH8rEeF1OaF5TVgy97Z9hKTXEkyvexFKZKXSqGBLXpS4toVCkssE\n/Dvivv+i7ctL60+XtFlvESDYoeuyD38EuEiRTwkxGcxl6nscuEHSBalNyH/XvD6zjV4YKhywC+8g\nvJvv9pBkOOpDbJEp/j3iXbojESL3VuD7hEduUJvlHLIZxPjx98w2mzBdHkYYTRYhjJDDoAlj8v8j\njI43EF6pn5DPOF5nLChwAvBLSUV46vbE+z0HQzGZjpERsAnbaxODQJNn76mU8lIYS3cq/Va1j6Ul\nrZSMEEW+4NK2nc77IBxAMNHfntp5PuHlzMGBxPj3AkmXE/fxToMEbB8GHCbp87b/X2Y7ZexJeMmL\nNICLiUihSkh6J2GcKeZeR0s61Bk5mC0mHy0RzhRBiv//IaHonUgaPG1/Y5Bckr0VWL/BhLsWkqJ4\nKUOyc0rao8dqu5OLNki2yJN4HkGIswER0leZJ9EEks4hYvj/mpafSzB+7ZAh+3yC7nzDtOoyYP+G\nVtxKpAnk+2xfkpY3JvrcN3dA0szksSuIeIYm4Ene0U2IAfuyQV7RLrnfE9f0BIKgaEJeTpLuoDcB\nSKWHRtL1hPJ1gSMHbgvgrU4lYgbILUgQUL2tZp9vsL2WpCOJsKkfKZ8QqpC93vbaCkbHH9t+TYbs\nkkN6rHvtYyj24SSzCEFcBVGKJUuZKr1riutbkGLkvGtq570pk412gPyywCuIfl9lO0sJUzATFqgk\ntuiSnWt7va51v7b98gq5WXTO7xNELtYPXUEalGRf4K48sV7r+shW9m2AbG3G5CZoOhYo2CvLzJ7X\nDNp+qkDDM1pfQBgEbqDkUXUGM3uTZy8Zko8g5hUQeasfJJTd9WxfOkD2vxjN/v0+Qjl6l+2vVrS9\nCCPLTeW+4xYhnAWrEe+33xJhvZXPX5KfMLKi1N7vCKKe+9Lys4g5XL8olRZTCK3SOEXQcPCcDWyd\nOzlIMmOR6L5x90u017qxhIIN8RXES+alklYnQqh2zpCtRdyTZG8CXlIoMooi0DfYzvEoNYKkDRkZ\naoPzWCcvs71R1bqu38+1/fq6ipSkTxOeq8Iavh1Ba/+ZjP7OILwaexFEE98nWDp/lyFbMJGuSXgd\nKplIxwLFRFvSdcC6jhDMX9muDM+T9DNg22G9SUn2RMK7+QIi92dBIhdsvUFySfYq2+tLupLwbN5H\n3MtVJDy1Q78kXegudsle6wbIb0hY3+cV+c55BpLsYsCKtm/J2b4kdxkRwXE4EXGwJzEZqwxhlPRZ\n4h01dGFzSTsTdf9+QTxDmwAfsX3aQMGQ7WZdHoFBRh9JXyYiT76fVr0ZeHHO8daFpKttr9u1bpTy\n2kf288Q9nxWSPVZIxreDGf0M5IZbN2n7GcCKjHwOco1y21FiIHZKY8iUzQ6/b3IPlvbRxCBQ+9lr\nipJxS4Til6W4Jdla77g+z9CodX1ke5IVVc2JmjwDigiz/yrGPUWKxrm2B0Y0tJgaaMNTpw5OZ3RY\n6GkErXEVbidCG84lP5RjLNgujyJyqarWAWOjqNIsT+IUYkL0BiKsaA8iby4Hs+kU/YUIK7powPbz\noJHMuOWBNye/6TuEYnAtI0OP+w4myRoNcJUiFLEIhdqFCC3sC6eQPNsrV/WtD94KvLQYLCV9jhiM\nKpVGR/7K+cD5krYk8iXeJ+laIl/v8gHidZhI50E1y0HQrFj3H4FLJZ1FkMmkZrNCsPYmmExvs/2o\nhiuufLbqFXGH4VkYFyXyNJfpmkzOJJTeStR5Bkqy2xLHuTCwsqSXAYc4g8qeZnlvTQqbfxJ4ReFd\nlLQMwW5aqTQSrMsrAgXz8TOAO4lrZHrkkWpkKOLiBKMpRKjpI1Qcr2qwRipqz64JLKWoS1kwceRc\nkQAAIABJREFUXM6k9AxW4APAQXXOcTK0diPLgEiwUn6QONdPVmzb3W6TXNfPEGPWbYzMZ8xJVfg8\nYWw9hTjX+0nayBWhiaoXfl8wf4vR9+IfISvH9ueSXlvTIFD72Wt4fRYi5hWbplVzJA0sDVSSrTPO\nP5e4LosponvKz1BWbjwxDyyM8FsURvgMuaGfAXXC2P9ChFmfkZa3Iz9VocUko1UaJxljNHjemT4L\nkZnb4QaJ7smrsyExEfwQncnCksREox/GQlH9s+rnSdQl7oFgXN2BTo2sbzqz6C/NaOXXA9YsPJyZ\n+Aojw/EOLn2vFVqQBpMDXRF2SRgwFgWKieIiBPNkThtLEwn1bydKbXyAyNVYhzCqrDxI3vbvJS1g\n+0ngBElXZLY7i/rlILYncnQPoFOsuzKEKuGu9JlBhKMPc32c+vsGYpBfnIz3RfLmXuQop/LDZGga\npoj7orY/mrktxCRqf2JyM7e0/iGihEYO6jwDBWYRhAuzAWxfowgRzEHtvDc3y/EVI41Z99F5x1bh\np8BZtn8CoCDVeY3tvvm9DfsK8cwvTRinRBin/kZ4XI4lcne7sSoxDjydkePBQ8SkvRIN+10uD7AI\n4XHPzS18wPZ5Ndttkm+3C7CKhyBkKuH1hDHvSZgXqXAtkZ85CJ8FXkVX+P0ggcLgKOkb9LgXM/tb\n2yDQ8L5ocn3qlAYqUOcdtzVhRFieTukOiGfo45n7qGuEr/MMFKVQbiUMH8WxnknNeUmLiUerNE4+\nxmLwnAUgaQnbD+fIqFmi+0LEC2CB9L/AgwxIwC4UVYJo4Qe2/5zT1659bJ++zlIkyc8kJko5qEvc\ng20rksyLAWwYy1gTZtwbgeemvmbBqZZSHUhah/DMLE9Q/R9NDIIbMHJg6pYrakI+DtwkqTi+1xAK\nWA4uJ7yL23XdG79OE5BBqM1EStyz6wBX295T0nPIq3FF8bxJWpwOg2LWAFg8tzXxNcLCuxWhND6c\n1g0M6bL9lKSvkHJ2khcoO4SK4VkYvwp8VdK+tnvVDc3B0M9ACU/YfkAaoXPlTlAOIO6h/ejkvQ3D\n1Fw3V+indKIaCiUsd4K2vu33lNo7L4XrDepnbabmhKFZI22fCZwp6VW2s4w7vVD3HHs0GdilQxgQ\nZ0v6EqOJs3LCRIc1upRxI+Gty61dW4aJ/M2C92Ap8p6Df9u+V9KMZJCbnd6vORj6Xixt28iQ0eDZ\nG/r6SFrQ9hNEdEA5WupCRc57DuqM8ycBJ0nayfbp+T0egbpkRUM/Aw3HuxZTBK3SOMkYi8FTEQt/\nHKHArZAm/u+2/b4B7dZ+KZe8dCeksK1hMZOYFN1PWKdPt105ECar/3W2X5L6MWfIdv9b0lIE21hB\n3HNAjqBG5hkBHCUpK8+IGsy4KeQLwgP1GwUte5lptjK8Lg0Gb2d0qM0g5shjCeXjSsIzejVRUmG3\nXmFmJcwlJiFziQGowBzyJ+mr9bO02v58hezbCY/d+4lrujz5TKS1y0FIejehtP0fIy3TObkdTULk\nXpks/9ckoX9IelpOn4lnbyeCrGRYC2/d0K+/KZHoSPoUEcL+2cyJ9jLUfAaAGyXtBiwo6UWEAjgo\nzHkebF+Vvj5EWPSzoQaFzYm86x3pEJ4ME9Vwr6RPMpIK/94KmaZMzU1YI3dU5Is/RijLLwU+aPvk\nwWLNzrFGhkrPIIwtz6mSS9iAOE/dBprKMFGGNLp04TDg6nS+hn0OPpdk56TlzQgm8So0Cb+vcy/O\nQ13Fr+GzV+f6XEWkFj2pGqWBEmq/42yfrlIJpdL6yjBTd4j8hjXC134GFKzuH2f0vCQnPanFJKMl\nwpkiSFabz1Bv8LyK8Jac6cSeKOkmZ5K0SNqE8IadoMifWcL27RlyTSa9hVdr59T3PzuDFEPSKcDH\nh1FWJZ1oe4/0fQ+n+oXDIFkMX+2uPKOcF51qMOMmmecQg3XZTbIZ8BfblRTvKTzzCjoMdJXMkepi\nnpP0J+D5yZI6rlC93KjtgefZPjotX0UnhPCgHKVe0teATxAenQOJPK5rbFfmCEr6A7CB7ezJUEm2\nPODOC5Gz/ZE+ImXZXxIh4r9OyuMyRBH3HPbUhwkP2pN0vIw5il9tqMPYujExgf0K8RyvXyGKgnlx\nFHKMRskD/AkilAuiJMlnBhlASgabPs1mGWxqE3Y1gSK39WA6YfQXEzmcleQjDdqszRop6Trb60ja\ngQj1PoBgA855rzYhRbuD0Yyvh3gcSdxSu8WzVyff7jfEeb6RkoEqGXFz2l6OmOQL+KUzauMpmJUf\nIxTrIvz+FGcwtTe5F/spfjlzi4b3xdDXR4m1WtJWBPP3bcQ5XhnY03Yl90HDd1zPEkq29x4oGLIr\n9mk3q8Z3HSjYUz/MyPu4aU3QFhOE1tM4dbC17Y+kwfPPxIM/hw4pwUDYvlMjQ7CyJvmKfK6XE2Gy\nJxChp6fQoQQfhCZ5IRAenbuJkJncGlnLEeGPVzGy7tqgidw6pe/7E4rbsKidZ2S7IBn5BXkkABAT\nqI+7qyyBpIKYIqcu2MIekMvUB4uUwtREnOO1FTeXqzxD6tTSK8POYxaskxt1EEGAU2Ah4n5enLjO\nlUpjySP/DQWj6ZK2c8OKbiUmVUPDzULkjiLCh58t6TDC8PLJzHZrRxkociJ3IwwJh6ZJx7Ilr1w/\nFGQJbwC+YfsMSQcPEij1d07d/tp+hPCMfiEW/WCGWN8w7CEwdK6QxqA2XprMV9ag7NP+gkTu28pE\n6kHxzA8kZrL9E0V5ktXTqjJr5MAyA3TmIK8Hvpc85rmW7NqkaK5B9CVpd9snKwg9yn3MOk+p3SZh\nl/fYPrKOYHput6L03Epav+q5dbPw+9r3IvUJWqDZfVHn+pS5Hb5JPDuPEHOil5JBmNfkHQds6E4J\npUMU6Qe5kQk/oXM9FyHmJ78lo85wXe8m8HdXlGVrMXXRKo1TB00GzzslbQSgyOval3yilR2IULG5\nALb/kqyLlag76ZX0XkIheDZBcPJODygc34VeJCMT4S6vnWekoOF+E6MnY4NesCt3K4yE0K+UT+Tx\nHUn7EIN9btH6uxk5ae5ergo/KZeaWIRQZp6V1dsauVHAQl1W0UvTZOW+NNHJgqTliZDhBWNRmzov\nB+b/AZcnz185rKhysqQGIXK2vyNpLjERhMgDzXrm07viOtsPS9qdeP6PyPTef42wDm/JELmUwF8k\nHUOUVPl8eiYGkWaV+1uUU1mDYEHNLqeSQqG+RXhIkPQAsHePd9c8NJzAFRiasKuYsCpYMv/KyLC+\ngccq6Qjb+/fxkmZ5R4n3xGN01cbLxIsI484ihJEpl334bEm3EB7v9ynYK3NzbGsXj5f0JkaPG/8k\nSs/0q4lZ5EgXhB7zdtdjX4ParptvN1fBRn0Ww+dSFs/tFgzx3Grywu+bsKQ3IctDw5cm6eZ2gIgm\nosf6fm3WfsfRMVo+msax+6ggjSvglOpT6se6wHv6bF7erqd3M6dNIhT2OIIRusz2/6NM+RaTiDY8\ndYpAQYm9PfFyXp9IVD/b9iszZJchCtK+mhjAzgf2ywwhKWq2FSEWixPWvZzwoF6T3iNsV1nUvwCc\navvaqjYq9rM0cJ8rbmJJ9zDSe/U9SiGQmRN8EXlGGyXZi52ZZ5S8Vw8QivmTdJTGQcQyf7D9wmF/\n69ru/cB/E5OhcjjTuNcT6+rHwNqQpe1uBrbxyNyon9peQ30K10u61fYqffZ3W86xpvtxF+A3lOjD\nbVey/Er6FRFCnB0CXJK9gwYhcooc32UZWderMqxIUfJmHSJc+mSC9GdH25tlyBbviXnXQynEsEJu\nMYKV9noHy+1zgbVsVxJCJeV4VDkV25UMgelY32f7krS8MfC1zPfbqkQe2YvpTPCHfn40fGHzq9wV\ntttrXdfv69meq95hbnZGCGPyVAydV6Q+7MO2+5Kidck/E/inI694ccLTXxk62bWPzRnuHJ9LsILO\nJp7ZzYhJ76pEKGNWDdBhoWZhl3PooZzazskjq/vcTlb4/Y+Jer37E4ax+4EFbf/XkH3YnOHui+7S\nJLsCcz2gNEm/sWnIfjZ5x32aiDzZkg4j9bG2P1WzL5XHo066wfW2106Ohh/brmTHVZQXWR24iZHh\nqbklo1pMIlpP4xSB7f+nYCUrBs9HiPo1ObL3UEGDPQCnJavRUskrtRd5oY/QqccEnUlvZRy97Y9K\neqmkfZP8Jb28amUkS9zngH8QuZ8nE6GMMyS9w4Ppnz9S6ufc0vdsC7E9jz31iSRTFY5XxvK2XzvE\n9hCMofvYPqa8UtI7GVm6YBAOJHJVhx7w60JRI7I4p4UhITfk50DgEkkjcqPSRLKfEvbLPufpPeRb\nPncgSHger9xyNP7t4UOAgXohcgXSs3MwEeJdrpO1Vob4Ew4W1e2BIx1laHJZQf+VlNWiH8uQ55U6\nCjja9u8BbP81XaMsFmHXLKcCPFgojGk/l0p6KFP2BOIcH06QQu1Jvnf0ZNu7pzbnFOvoHWLdjScl\nvY1OfdVdqQj7t11EisxRRJusTlyX3+ZMlhN+qnq18YZmH5a0le0Lyx6/ZJgjLWd5HdK9+Bw6eWTL\nEuWnqvAUsIYTAVvq8zeI8iwXM7g+3ipE2O2rUl8vBw6wfVs/mRJqh126ASs29Z/bSQm/d32CFiQd\nT7xrrik9e7OI8jtVqFuapDEavOO+6AgHn1dCiUxvvTq1EyHebesSY0oVans3iXfF2lXG/hZTE63S\nOMkYi8FT0guIkNSVGclGlcO89SVJWxMMgasSBC0X5PS97qRX0v4EW9+PiIH+O5KO9eB8jaMJtren\nE9bhbWxfmQbd7zEgVNQ1iG969PmdRC5hEXJzlKRDbeeUZrhc0trOz5ODYKn8sYL5sVAS1yNCV3bo\nKzUSN1JzwG+Aco3IwpCQRf7h0blRv7Vd9L9fbtQBwBmS3koYMSAGvkUIz30ObiVyIesojbMVIVzd\nIWN9Q4DVOzRuHpwXpvNBQtGtjCbogYckfZyoF7qJIpctl3m1bi7lNsDLJR1e8sJuS6eG6CAMXU4l\nGS8ArkpGsUIB24XIFc/BorZ/LknJ+z1L0qVUFLtP6A77WpB4fnPwViJypLjnLyPTKCjp9XSR0kh6\nt1OtvApcAfwoKRfDkLTUYR/elAhPeyO9n4Wcca+J4eT5HsnY/XdgVdv3qZrx9bvEeLRjWt6FuL8q\no4JoFnbZJI+s7nM7KeH3Sb6uQaDXu2Y78pTGOqVJXp2x3yo0KRl1OTHmzSuhJOnqYl0FyqHWTwDn\nEKR9VThHEQL8JTrzk2MHbF/GlcQ9fFPm9i2mENrw1EmGpENsH5wsWr1CT3IYHK8nvIO1WNVK+1kG\nuHcYC5Ci3MfKlAwQVaE9ipCxDRwkFUWS/ZW2+w72KrF6SrrZ9hql3xqHh1RBwfj1qmKSrmCGu8L2\nqhmyNwMvJIheygPvwFCwZDzYgpiAGrjJGUxsJfkziJCx2Qw54E8kJB1k+4vp+5tdYjyVdFhViE46\nT1sSx5p9ntSpLbkcQVhwIcNPjO6g93PbN++09Kw/myCcKvq6BcEcuWMf0fI+ZhPkWbn092XZ5xJK\nyFW2L1GQ2Wzhway6z3OqnSlpDTq5lBcS3uyBeT+K0iCbERPuOwmPy1U5z62klQlCpIUII8FMIsT0\nDwNk5tA7oqAIH84J6buMUG5OJ47zLuBzHhB+n5TxjxH5PmWDzb+BYwaFuY0FJP0WeL1H0v7/ZFCf\nS7K3E5PrG21n5zSqGfvwIu5ispX0rBxjiKRbiVqAQxtOUp9XIsIBRYRO/plgdTxn0P0h6ZfuShuR\ndKXtDTLarR12qQYsmUm++7l90PbAXD9NUvh9P4PAoDlCSbbJu+YtwOcZGbb8MdunDhRsiJrvuOcS\nY9cpxPu8eM/NJMjGVu8nO5ZQ5KcvYvuBzO1vAVZhyPlQi6mBVmmcD9BrEMuQ6RvuCbzDg8M9i318\nh7AoX8vIF/u+FXI3EIP9Y2l5UeKlPkhpLOdijFASJ0hpvBD4L6cQxmQVPNd2pZUxDQij4HGmmJa0\nR9FUsYrMAT/JP5MgbFi4WOcKwgZFnunBRI05ExOOQwdN7Cbr2qbz0zdUOfc8NWj/HKIkwV/T8nOJ\niUKlJ1nSt4jIgHMZSSZQyeBYs6+/A17rrlI8kvYCPumKPD91cqpEWPxfDTy3Sq4kvzBBtALhga7j\nFR4KktYnCMWWIt6RM4lQsCszZD8/rIJYMmL0Qq4R42Lbm5aWRZB5bDpArNj2Z8Q77smqbbv2v4JT\nLq2CpGumK9INSvI/IUic/p2Wn0u8Vyu9JA0NJzMYWQvzUjLrliry3v7JSO/1woT3sYporLyfzRku\n3652Hlmf/d1pu2fJhdI2l9vOYVIfUzQ0CDR91yxHh9AtqzTJZCCNX3sQEQzlUOCHgBOdEbGSvNwf\nZnSUWs8cW42Mkuk1Zua0uXKv9eM9H2oxNmjDU6cINJJhs/zw5oSeHKmgrz+ffFa12uGeJawHrDmM\nZzLhBCIXrQhP3Z5gOByEtdXJRVpUI/OSFh2y/WyoE/P/F6LPReH67cjMmStehgpmwEUGbz12sH1i\nmmwX3tBbcidY6hA2PI8wCuQWSP4eUVpkR+LavhX4PmMTwjPWeIABNR5zdpC85B8CVrT9LkUB+dVs\nn5Mh/nwiDKnA3+hcqyrcmT4LpU9lfq6alXT4IMFE+F+2f5f29zGC2bNSISHCd0nvioOTByMrF1Q1\nQi4lvc3BMNukPEKRt/wQMTnL6evqtm8hcsVHKT4V7+TufOsRohXtvil9vSkpYj9Iy28m6pzm4G4i\n3Po8hjNEnEEnPK6yvm8XfkycqzcR5DBnEZPYHNye+ju04SR5Uk9Pn2GxK3E99ulavycVzKIKZtyL\ngcs9PEtvkzyynt3J2KZO+P36wJ9KxrB3EHObO4BZmUr1nUSN3jo4O/Ux+10jaRuCgOk023cBZ6b1\nu0n6uzNTduoiGdL71Sj+bC/l2ZF2c6KknWzXuY8hSlJ9nYhUK4xFg941/cLJC1QqjZM1H2oxNmiV\nxqmDM+kwbOZSjhd4CUGwsCUjk9sHhWAt4MRcqMjNuxLAkWORqwTeCDyXCNvKhu3DJf2CjpV3D9vX\nVMgsMOj3HCSP5t6MZkPca4BYEfN/KzFpLc7NmVRM5Ertbkvk+i1HhNusRHgwKmshNUGyZJ8EFKUU\nVlSQBuWELdclbHiG7c+Ulj+rIFyZimhc45EwgMylU9f0L8RENEdpnE2njAupL1nhx7ZnAUiaGYuu\nJHdxgxpxjnzTx4HzFJT07yTuj01s35+xi3slPaPYNinVOecIgohmC3dCLl9IeFgH5ekV5Va6yyNU\nQlG2ojyBK8MenCt+IJGvXc7tLaPvO9ldudfp2j7lVCuvAuXJ3N+JsDqI2rLP7CkxGrenT7YhwrYl\nXaGMmn995I9Nhq0ziffie2xflik+tOGkgBqUOHADAitCcXorYeh9mFAgL7F9xkCpwNkamUdm8knr\n6mK31E7Za15VcuObpDBYSZsS4Z4fIEr7HEPkU1ahiUHg013LOe+aQ4hnqBsXEYaNcVUaCZKfJ4iQ\n2oK1FUJxPLFX39K84vpCYUyOg0I53z/TgPNv21/P7aTtPXK37YfJmg+1GBu0SuPUQR2GzQI7Ai/I\nCXEpoTy4DqWkqlMLbAngN8lDU45NH0jAk8IebydebgCW9LQ6YUZD4mTi5fRaYpB4GxX1LIvJeUN8\nlmDauyCFzWxBfbbbYXA4Eb71WwAFycz3yEuQr0vYMFuRF/L9tPxmBk/uYZK8yIyu8XiZh6/xuIrt\nnSXtCmD7USnHgA8EedUOdGqCfdP5ZVzWIhgen5WW7yHCyvvVs2wMB2HXHoQn+TJgK3flow3AssCv\nFAQN3wJ+NkSEwt88MrfnVsIrO6iv30z/Z3X/JumAivY2IPLbTqUTTVD2AAxq910p9PETQyg/3f0b\n+tqOxWSuwbtuS+A9kv5I5DOm3fXPUSpFcBTK+fOA64ANJL0yUzmo21+ISJuixMErCKPri3IEk/Hx\nfYwMwf96zrPgIE47XtKyRFjrh4F3M4BhuuS5+0xaXoLIMbyF/gRhheygkOelMvq7ctU2PTCj5E3c\nhXiv/ZBg98wKW6aZQeBNhKL6HErPbYVBYDH3qM/pYHnOrvfbABt5ZBjw9UqlqpIXshf+m0S+pCBI\nehtxT7+MiMzImU+erSjN9SPyazmjIDM8gYjCOC61+THnMS9P1nyoxRigVRqnDuowbBa4FngGFROp\nLjSZqPetL0jei/1qYEWCBACi73+V9Dcixyu3pMSweKHtnSRtZ/uk5OHJovxXFAn/OKPDh3OSt/9t\n+15JMxSU2rMVDGnjjQULhRHA9u8ULI45qFsg+T0E69vJaXkGwQx3AH0G7rHwItfEM7r68f7S4jLk\n4fE0iQQoiEey8u2S0vQjMssLdOEY4EO2Z6d2N0/rxiX/qCu0dRHCk3BPUpCrJmTY/oSkTwFbE6Ge\nR0v6AXC87Vv7tDkWIZe98CHgfwb8/lzgNcBb0udcoq5sFtufo5zJVwjlsw5qX1s1YNJO4WIHEcyG\nxT1tV9cQfF3Vvnug2wN8RlrO9gw36G+xYVHi4AmGK3HwbcIDdCShlLyFeN+9OaPPxxPezb8ReZRv\nIuo1DsIgz903Gey5K4c8j+gKI/Pg+vV3IeC9lIrdEyQrgwy8C5SMwK9mZBhv1vjT0CDwReANtgca\nhLuwcC/DtaSnMTEhlEtI2qCI+JL0SjqGhH7ldp6y/Wj6viPxLp0LzE2KYA72IK5rd0h4XyK3hL1t\nHyHptcRYuRehROYojZM1H2oxBmiVxqmDTYA9FQx2wzJKLQvckmL3szx+TSbq7pGLoSBAuS/Te/BT\nIoH/Z0l2a4Imu4iv71vEuiEKT+w/kzX/biI0IgenEC/WMkNtLu6XtCRhkT5F0t/pUNqPJ+amScrJ\nxCShXL5jIGwXIaWzNESdrCYhkJOAsajxOIs4L89LRoiNyM9/q2MRL7BYoVQkoTnjaREfi+ualKm7\niQnzk4TSfrqkn7t3we+xCLms088niJzu81Lo5FuAXyiYrgd5bsr4maSdyCRX6UKTa3sGYfk/mxKT\ndqbsKUSEwBsI79cexLkeCNfIURqjCI5a/U1oUuJgVdvrlJYvGsKD9kxi3vUAQUJ3b0aETW3PnZuX\nm/p66u//Eu+o3dO6dw6QOZV4Xu4FHiXGPRT53gMZNiUdYXv/UjRTGVnGD+DuIRVGCMPdMZL2dQoH\nTx7dI6ln1BsWewPfSvMECA/e3um5/1wfGaXtHyGMCuUw09zncOV63Z03Xr2eIN25dogIm8maD7UY\nA7TsqVMEasAoJWkzehAneMiSG7lQQ+ZVSXNtr9drnUqlNcah3+8iahCtReQJLEHUpfxGhuyltjeu\n2q5L5kWEQnANEQI8g1DcViRo8CstvU2gIFd6P6HIiMif+ZozmCdVKk4+aF0PueIYn2/7UEU5h2Vd\nI99pvKEo6H0GYWgZVePRmax5yWBSeJV+aTtr4qpgCBzWIl7InkEYAMoGgZeXlP0pBUn7Ae8gyDuO\nI4xG/073y+9trzKBffmT7RUqtlmEmBDtSnjtzgK+5YoSBSX5hwkl5Ek64f9ZBoEm11Y1mLRLslfb\nXleJnTOtG8HG2keuZ46S7cocpSbewrr9TdutlPqaXeKgJHsiobhdkZY3IMa991bJlvaxBmEo/SDB\nL/C8AdveCLwsPS+/BfYpxnZJN+Wc57oon9tB63rIvYowZp/vTmmtVYElPIAMStJ6tuc2mdNIOiK1\nfQYj8yH7Kn/Jo/gZQhkuUhZWBI4n2KHHRalRJ0y7gIF7gUtt39ZDpCy7FxH99BARwr9NWr8u8CXb\nWw2SL+3nJYyu/VlVNu1E4nl/AbAOkRM8u3te1yXzWts/S8r4Y3TmQzMJRf8H/WRbTB20SuMUQ7e1\n1iNzrnptvwCRDD1hScSS5tJhXj2WLubVKqVP0gXAz4n8OhHF37cmYvB/5Qy69YmGpFcTE8gLyR+I\nzgU+7i76eUWo66dt90q8nxLQ6NIXCxL32ZoVct8gPBxb2l5dkb96vu2Xj2+P60GqV+OxJH9h9+Dc\na10f2ctsbzRsn5PsM4m83LJBYJbzSGkmHJIOJcKn/tjjtzVt/2aA7GrA1wjjw4slrQ1sa/uzA2QG\nMcUuNijSQtK3ifvhPOD7tvvlFI0LmlxbSbsRNWGHYdIuZK+0vYGk8wkPy13AaVUKvaJO8JZ05SjZ\nfldGmxcQ3sIit28P4B7blezFDfq7IOEdeVtVG33kbyFYjv9E3GMrErnxT1Gdy/lGIqpoE8LTfgVB\nhNOXPVzSJwgDxr0Ew+x6yWv/onQctd4hOVDkIO/skXU/TxvPMTpdn5Ns71ZT/sT0tbscRE7d0MWI\n5wfgD+6Ef44LJM1i9HvqmYRBYZYr6kNKeh5R7/dap9qqirI1T6uaO5ba34x4351LhJpfansgWVEy\n9r0MuNX2A4q61ct7QHqVpCeJd9nuTjV/S7+Ne9m0FmODVmmcImhorT2FUE5GTcjGA2VvoKSbba9R\n+q3y4Ze0DFHLr5gUXUpMkv5JlC6otPbW7He5rMkCqW07o6yJoibl6sBNlMJTBw1Eg6zAkm60/ZKh\nDiAT6p84D9WTmkbFydWpkVWuvXidR4ZzTXso8hgXIxhQNy/9NBM4r/xMDNjH0Bbx6Yo0qegebB7K\nseBLuhj4CJFLVdRfu3G8DGWSnqJD6NKNXG9hT2+XK+qcNoWkzxEhhLcy8j01iEm7kH0jETK2AnAU\ncS/Psn1WhVwRJXIdsK7tJyX9yvYrBskl2SbewjcQY8dQ/U2yPyMMD0PX+1SfqKACHhAdJOlrRF7g\nJY7SDrlt1vLcNYWkrYhctYKJcyVgr2EMazXbrX195gckw9GF461IJS/2OsDVttdRRN8cb/sNfbZf\nj/45sq7wIl9DhNB+Cjiw7FlslcbpgzanceqgCaPUcgRZxFWMZK/Lif+vg9rMqwCO8L2niUxnAAAg\nAElEQVQPSFrCo+nkx0VhTOgua5LNyEa8WNf2cFaWhQf8Np7J9bU9mLYPAw5TjeLkCf9K3m9gnoFg\n2BzQ6YB3E2VJlmNknuhDRP5PDp5OKOZbd60f5L0u5/p0l4UYz2e+KeZSn/xqMdu/VMqZsW1J45YD\nY3vGGOzmIEYSB61PnIO+YZdqVuqjQB0m7aKB4t56gJGGkCo0yVEq+nl3UgLvApYfJJAMNu8hPELL\nE5PcYfoLUYboUklnEXl3UFHSQdJM2w/Sp36gM+oP2n5f1z4XBHaxfUqF3CiSHqd6qTnQkOWm1GFs\nvTApp/sQpDYXEMR7440/ApdJOpPM61OgdKxFyLOT8KDSWlMKtv+h/BzBJngsGXmekPR0wmExqJxK\nv1JCBQYap2wfo+BI+K6k1wEfKIwgLaYHWqVx6qAJo9Qh6X8x4diEIG8YLzQqkSBpQyKvaUlgBUnr\nAO/uHlDHAU3KmlxJDEJZDIoJv1ZvopV3kklIUwdlS3eyHK5P3BtXuQeteB+cUyj1knYnQlGOyPBm\nH0XUtXq2pMMIZr9PDnsMUx22vwp8VdJ+to+suY89aogVzMU7EJ6H78A8Bsc76vRjgtCE/OoeRW1G\nkuxOwF/Hsa+N0W2pl7QCUV9vEGqX+ihhaCZtRX23Xigm21WRGNsRRrgD6OQoHTJQooPPSlqKqG9Z\neAurSqKcRCiblwD/RbyX989sr8Bd6TODyG3PMSCeSoSJXt1n276Mk2lC/n7CyHQWkZ7xfiIs9zqC\n1Gc8MWy5qXmMrcSz+TGGr7XYBHWuT4HiWLchs7TWVIOkLekY2MZj//9L1IT8VXr+jiXYdB9hAAlc\nDeNMr338LnnOPwNcLentTffZYuLQhqdOEUj6OTER/BxBKvN3gvwgi0Jf0suIieMuRCjJD53P9Deh\nSB7RnYAzSyGM45rQn9o4Bjh6UNz9ANlbgFWIc5vFbquoxfVjYoJTKInrER7IHWyP68RX0s7ERLUg\nD9gU+IjtyqL1KcR1HYI06GSCEGBH25sNFAzZNehMOC4E7pyfrYmqQSSQ5FYgcrHK9d7278736CN7\nie1NqtZNFagB+VXKozqGiMR4gHgGdxsUBjjVkEJqbxgUkp68TkWpj7UYstRH2scvgLWJkiRZTNqS\nPszoCfnihLdmadsDmVslPZ8gsngsLS8KPKciTLPsLbye8Bb2Ky3QLXuD7bXS9wWJPPgpHdqWPJr/\nIIyPWxJ5awsB+9ked89d8YwVYcAK4pfz+4Utl1MKkoJxjxPjbW66gZqxQw8NSQvafmLYY+3ax4QS\nual3KskzCKPY2z2AJC2FsPbFIM+3pA8Sc8XlCG6JU4l368w686Mc9ApBVZQTOgFYxtOLef0/Fq2n\ncepgeyJULdtaqyCI2DV9/kEQCmgsrEHjDdt3doVfZE0YGqJJWZNthm3M9t3Jq7oF8BJiYnbOeOeD\nlPBJ4BWFdzGFil5IeHeq8ISDbGF74Ejbx0l6xyABScsTNe6ut31z8nLuT5BbLNfgOKYs1IdIgKjl\nVoUTCA/Dzml5t7TuNRmyS0taxanGoaI+39JDdX5i8Q9JH2Uk+dX9KZR5YPhyOsatFKx7M2w/mCY9\nAwubTyY0sqj6DOClVIT1eWxKffTzGg5q98vFd0kzgf2APYlrNagmb4HTCYW+wFNp3SDyqybewnlj\nRVISMsU6UA3WVgUrZV8MyucilJBt036OJUhtVkrhrhOBYctNNa61SL16iQBImt1j9cDrA1xFsF83\nKa31NRKRG3Ao8HBaN15Ebt2pJCZKl3Wn7fRC4fEWo0P//8gAz3cpUmZlYv54AvEcfFfS/w0T+jwE\nRkUsOMoJrUsYkFpMA7RK4xRB6SXxJFEOIgc3E4PutrZ/D6Aooj7VcaekjQDS5GhfJiZ8pE4RaqBe\nLbIkZ+Ci9JloiJF1y+6jd75ULzykIMV5G7BJsug/rW9DMYn/BJGTuoikrwKHE17KvjTc8wF2okMk\nsGdSlI/PlF3G9gml5ROHeH4PAGYnA4iJCcI+g0UmFW8halqeQYf86i0EIdXO/cU66JpIHcgUVhrp\nFFUXoeScavvSKiGNLvVxBEPUiXOPGro5UBAVFQbLbxOENrnhcQu4lENp+/Hk3RmENUrewuMJz2gu\nyukRMDJFIteTVafG4+HUz+cqK7pPSrpjAhVGiBqEzyQMiWeRyk0N2L52rcUS6tRLLFCu21oQ2FUZ\nlouxrXysZxLH+unMdl/pROQG83ILq+7l2mgSLeFUY1HBWH6W7Z+k5deRZ3gs2v888PkUrXYCYXiq\nXcd7QFs/7rP+fvrXomwxxdAqjVMENUM53kRMvGZLOo/kaRzXjo4N3ktMhpYncnjOJ/I7xgWqIDDI\n3EdPdlvCwzRV8VOiyPh3iftiF8KTkYNdCCKmvZLHdEUG52S9G1gtDbIrEuyNm9i+sn73pwWGJRIo\n415FvmhxfXYlPBCVsP1TBUHF6sRE9hZPUabBZHD4qvuXOBhP8qtJgWsUVdfIUh+Hukapj5QrdCSw\nBhEGvwDw8KBxRNKXidSIYwiyr4f6bdsH90razvaZaX/bUX0f1/YWekC5lCHwrBQ9sZ+j9t8vFCy9\ng9rdvEF7Y6Ho1kIKuXwohSv+ggEeqAK2/1vSRXQYW4toABFG3kHtvSl9/bWk71ODHdqjaxhfWnV9\ngGUkfSj1sWA1L0jJBoZYlzAdidzWtz3PU2f7PEl9yxGVkRTi1xFjz1bAHMK4lyO7PKOZ6MeVHbrF\n5KPNaZwiULNC30sQ4a1vIaydJxGkE+ePbS/HBpJWsP2nrnXLOrOYeo32zrX9ekl30MNSbLtyEFWD\nWmQTjWQNfo7tS9MAXpQ2uR/4rjNLmihyMl9BBolOd76CxrGkyFSCgkL/E4SSfSBBJHCN82qCrQQc\nTRCgAFxO5Dhllc5Joc/PJ4x/BWlJTljshENjTKEv6U+2VxiLfY0HkkJ/GKPDH/saFDQ2pT7mEhPA\nHxAhdW8HXmT74xXt/ovejKeV7SpIik6hE4L+Z6IWW9/3jKJmW7kGXrnEz7gqUan9oWs8StrS9kXp\nndprHJmypXI0gfnOijqJxfkZRWCT+W4s5+vNIO7lI2yvNkDmr8A3+v1uu5KcSdLbiMiH9Yh51E7A\nJz2FC8+ne/highQNIlpgUw8g/VMQke1KeNqvIjzLZ2aGxSLpC8SY9xsiOg4AT+Ha0y3GBq3SOEWg\nBoW+u/bzLOJFt6szEr8nA5KeIHJe9nIqntutdExgX+SMh0ANapFNNCSdS9TtvK5r/SuAT+e82DUk\niY6ke4iBp3AZ7EInf82296tzLNMJCkKQJT1ORAJdbX2H8Ghey8hBe6AXYLKgIKFalwgXyy1x8DD9\nwwEXGyOP07hA0mVEmNfhRN7SnkQ+Zm6YXN12i/dUue7hFbZfVSU7Bm0vQcwphvVUTjhUo8ajIrf0\n4C6laB5ylKHJgqRPEUr59ykZJpxRJqRBmxt3h2T3WtdH9g465/gJghn6kEGyYzWHUBeRW4MQ2wlB\nmvMdTHA2QCiQhwy6toqc0VMJwsT7arT5O2CtqRrd0mL80CqNk4xSKMem/OcU+r6GKLmxN7Cz7T9M\nhNIo6dDypC2FoXzb9m4Zso3YbScSGsBEm+sBTJ7VV7uLRMd9SIMk7cHIiVRhYS6UxpOGO4rpAUmb\n0XsC2TdMRyNJUnrVWqxUsCXdDKyZY/CYClAQBsFor0NuaYZpBXWK1peZPi+1vfE4t3sxkc90HMHA\neDfwDmewXdZoa3fbJ0s6kB7P/iCDwGRBDVhbpzP6RNkM9HyPQZtX2163al3X70V9yL+m5T2INJw7\ngIMrFKGxUhoXIOZi5QiOO5vud7yh3nWvx6ut84i525Q3ELUYW7Q5jZOPN9J5mQ9V6Hs6w/b/SroW\nOFvSQRPU7EqSPmb7cwoCntMIBrK+KEI9GV2LbEWCZXAqYuEBv+WS+AxFouMaOVzzCT7CkEXcGUmS\ncghB0jBsPb4bCabau4bs72Thh66RozeN8ViafP5B0geI67TMBLS7OxHO9wHiXfU8YtI9Hlgs/V+S\n3gajqYjGNR4VZEVvIvK5ijmUXV3PclKQcho/avv7E9Teq4ANiVq9RY4hxH1SFR0wrz6kpE0JI21u\nfchXN+g2qc19Ca/d3ylFcBAlcKYkNDl1rx8DrpV0ISOZ6KfqnKjFGKH1NLaYcJQtgpKeS8q/sb3o\nYMnG7c4gcm+K/MSf2P6fCpnGoZ4TDUnfAy6yfUzX+ncCr7G9S8Y+vkSwgpZJdK63PVEK/rSEUhF3\n27tmbl/LOi5pDlHG4Soy6/FNJlK45kIEO993becyME5LJI/JzcBSRBHrmcAXPc7EUApipTPKHgBJ\nb7B9zni2O12gMajxmPJzHyCMP+XQ8JzyJJOCCc5p3IzgVng3I3MMHwLOdmJ67yPbuD5kEyi4Jdav\nE7I5WdAk1L1OHuBuzLcRRS06aJXGKYIUslYOVTPwT+DXTqx08wOS4raL7VNL654GbOhgsRuPNtej\nY/l+GmHNvJywzg2srzUWoZ4TDQWBzY8Ji/rctHo9wgO5QxH6k7GfMonOxe5Dmd2iA6m6iHvX9nWV\nxs17rXfNkgsTAQU5zF7Amwll9wRPUbKu6QpJDxChfG+1/Zu0blxC/yX1qwlZhPRNOc9b97moc26m\n6nt/ECYpp3ElZ5J6lWRuBF5m+9+SfgvsU8wLxlsRSm3MBrZ21KecFpB0le31u4zx465gt/jPRKs0\nThEoCv6uRoRMigh/uYkIL7rN9gcnsXtjiom0eqb25jAgfMoDCIMk/cH2C4f9bbKRlJctgJcQx3qT\n7cpakSoxr3at3xT4i1Mx+RYB9S7ifrv7l5folp8UAqjJQvLubE8wVv6TOGcft/3DSe3YGEHS2YzO\nUy0w7p7glC/+TqLW4iG2fzCOSuOHGR2GujiRq7607dwyBxMGjQFrq4LU6WhPAOHVWKFPTmMWc3iD\nNmf3WG3bfUP3JX2CqFN6L0FStJ7tp9K4dKLHgCywT7sHpq9rEmWMzmEkt8SUy88tIOl04H/oMHHv\nS0RuZUW7DNnWabbfLKlXqoHdh/OgxfyDVmmcIkgv2NcUSflpcnUBQWpwg+01JrN/Y4lJsnouAOw0\nbF7HWIR6Tic0DceV9GzgXYzO99lrHLo76egiAHoCuMP2ZRUyZVbQ8qQVKiauGswomjXpnQykPJs9\nCIr3C4DjbF8taTngStsrTmb/xgoKFuE/E8yEvyxWp/8er2iKUvvXOEoCLZ36cD3xnhrXyZykmUSO\n995EusFXPKBEz3REaaK8APAi4HZGhoa3E+YSJL28tFjkgT5h+yMVcq+iUx/ykbRuVWCJQVFBDfs6\ni8FlQqYsYZeCpO4IIqdTRN3r/cYjxFbScrbvkrRyr99t3zHWbbaYWmiVximCFIrxyiLXR9JSwC9t\nrza/eSMmw+qZ2h3awzlWoZ7TBU3DcSVdQVB+z6VTFNnziyepgKTtgefZPjotX0WH6OQg9ylN8p8G\nSc+z/WcFq+dxwOnulNl5o+2zJb3dU7S+5LBIxr7XEDVz1wLOBU61fdMEtf8T2/+Vvi8AfB440PaM\ncWrvWXTIwb4NfNX2/ePR1mQjTZTLisUITOUJs6TFgQ8BK9p+V/LcreYJznWVdLHtTSeyzWEg/f/2\n7j3atrqu+/j7w6G4CIoYaWoGokASCOIVSVHylj5qUgIpSaKMSvOao1RKxCdTIxI1UxmFSnmpgTfs\n8cIDHBEFzMMdRTQuj5okh0uB3Dnf5485F2edzd7nwtlr/ebZ6/0aY4+95m+eteb33PZa3/n7/b7f\nvLjm9GScb2xIkjx57o3K+cakxWDSOBBJDgeOBJbTvSE9la459Cfo+ket9e6c1u3eznDe26Wem6KN\nXY6b5Pyq2msy0Q1Hkm/S9UL9f/3x+XRV/+5Dt4xqbdVTZ0a6fl7Pqqor5oy/nK5p9sRK/reWrkLz\nIcAxdEtF37+Opyzmtbelu1kzsRL8SY6ha0P0EeCDtcTL72cTbteR5F/obuT9XlXtnmRr4KxJ7ntL\nsv3Y4WbAY4HjqmrXSV1zY813g37oN+1bxJxkvv/r/w38O91NqssndW21ZcuNxsbuCP0z8CW6kv0A\nb62qH/ePl1TC2PCu5+F0Sd+r5oyvdYazujsrp/VfS923kxyxwHLcFQs8Z9wXkzy3qv5tMuENxs/X\nmr27vtEvB7q2//etzuuAU5L8ZlVdBpDkzXQzU4OdcdgY6VoyPBc4mG6Z9nFMqXVSkj3oZvwe0B9f\nQ9en8eIJXO4NdCswjgSO7O6t3W2wS6U3wqhdx5ncy3YdDe1cVS9OcjBAVd085+9rEs5lztJ9uvfg\nwUnyHLq/04ckeR+s0SZkkEVxsrq1yQ65Z2uTiawsGPO3wI/plsBD97PuQcBlwD8C+0/4+mrEmcbG\nkqyoqn2yjqa3S0mLu55aPxu7HLffc7d1//zRm+2S+wCZ5D+qaucFzl2+lGfQNlSSA+hmo15AV6Tl\nccDzluIyxiQfB3anuwH46Zpyb8p+efhbqur0/nh/4J1Vte8041iKsgjtOlrpV0YcAHyz3/O6M92y\n6cev46kzod9zvTdwNPDnrN7XeCNw+hB/VmUjWpsswrW/NfffTpKzq+qJsXLrkuZMY3t3Jvko8NA5\nd7hg6TZLbXHXkyQvY/69lEtiP9ViqKqr0zULHl+O+8X1XY5bVdtMMr4BOWeBGdk/YHUBFAFVdWpf\nMOhrwDeAA6rq1rZRTcxL6Za+7wK8tsHs29ajhLG/4HJnvhfN3UtRq+rOabxnLaKjgC/Tfc74BF0r\npcMmecEkPw/8Id2KgqL7//+hGmA7i+oKv12Q5BNVdfs6nzAAfVGtryU5oTawtckiWJXkILpq/9D1\nibw7tCnHoilyprGxvvLVAcC7gb8YDdO12nhLVW3dKrZJaXXXM8kHWLNq5dOBc6vqtxd+ljZUkvvT\nVRfccjRWVWe0i2jxJXkg8Dm66omjin6Pofs9v7Cqrm4V25BkzWqvW9LNQI8XSFpSM9CtJfkc3QqB\nE+neR15CV37/hU0DWwKyCO06Wuor6j6xPzy7qlZO+Hr/QDcx8TG6f4uH0lVPfcUkrzsrkhxXVa9N\n1+ZnrqoJtvfpP7Mdx9i/J7qtCD+ma5Ny5kLP1abNpHEg+uURm9EVTjiIrpz3SdMsnjAtSZ4JvJVu\nT8gp9Hc9x++QTymO+wH/VOtoI6H1l+SVdKX3fxk4j+5N5aylWBimL5D0dLrliEu6QJI2DX3xkbfT\n/UwNXSXjo4a4vE6Tl+RXq+q7SfZhzf6hBVATamHRX/vCmtOGZL4x3TtJ9qmqFf0S9HuoquUTuu4y\n4F0WZ5xNJo2NJdmVbhPxwcB1dJU9/6SWSN+yhUz7rucCMfw8cGFV7Tbtay9VSS6m27N2VlXtlWQ3\n4OiqenHj0CRppiQ5vi82t5z5t2Y8bYLXPhd4cVX9oD/eGfjXIdZuSHJiVR2a5HVV9d7W8QxdktPo\nthmYQMwY9zS2913g68DzRxuXk7y+bUiTMXa3c2RUVOVhSR42ybue/fXHl3FsRjfTOdj+S5uoW6vq\nliQk2bKqLu1vjEiakP5n2/hM0riJLlXTcFXVK/vv+ze4/JuA05KM2u3sCPx+gzjWxz5JfgV4eV/M\nag21jrZcLSXZD3gb3Z/v6DN9TbgY2/nA55P8K6uXbFdVTaVKtNoxaWzvQLolqacn+RLdTOMmtcN+\nA/wNq5PGxwLfnnN+Ync9x64/cidwVVX9cMLXnDU/7Pc0fo6u1cL1dPscJE3OE4Ef0ZXAHxViWmMp\nomZPkscBPxpVve6LwR1I1/7iqEkmQ30BrF2A0U3DS6vqtkldbyN9iK5Q0MO5Z2up6seH6h/o9hOe\nC9w1pWtuT7cybu62E5PGJc7lqQORZBvghXQJ5NPoNo9/tqq+2jSwCWndMLdfHnutyysmp99rcV/g\ny5tKRTppU9S3gHgG3fvHHsC/0RUXu6RpYGoqyXl0ywivS/IUupvSr6ZrL7HbJIrAJXk88MMWierG\nSvKhqvqD1nFsiCTnVNUTWseh2WDSOEBJHkBXwvjgSe45aGmaSWPfBPev6O6MvYOusuAvAMvoekV+\naRpxzIIkTwS+U1X/0x9vCzyqqmxDIU1Bki3oksdjgLcvxWJqWj/jPfOS/B1wTVUdNffcIl9z6onq\nYuqLEo7ahHy9b8cxWEneRfdZ5jN01byByRQ5SvKnVfXuJPP9TFmqLeI0xuWpA1RV1wIf7r+08T4A\nvBm4H3A68OyqOrsv0vIpukbcWhwfoms9MXJzP7ZJNMGWNlVJtgSeS1dUbUe6kvguF5tty5L8XN8b\n8TeAI8bOTerz32Zjs4kHAR+uqpOAk5IMPQF7LfBKuv83Af6pLyb0vraRrdUT6RLcx84Zn8SEw3f6\n7ytYvYd6/LuWOJNGTc2cu1MPSfI+xvbdTPAu1bLRMt8kR1fV2f0FL03iD7pFVlWrxh7f1ZfoljQh\nffGO3elugB1dVRc1DknD8Em6BvAr6W7gfR0gySOBGyZ0zRaJ6mJ5BfCEqvoZ3D2LdzYw2KRxykWO\nnp3kuqr66BSvqQEZ+n9gLS2ju1NzH0/6LtX4a986wesIrkjyGuDv6f5e/xC4vG1I0pL3UuBnwC7A\na7sWoncbfON5TUZV/WXfHuFBwFfHbugF+OMJXbZForqYVi3weFCSvLF/WGPfVwJnVtUV8z9ro30f\nOCbJg+lWaX2yqs6f0LU0QO5p1JKX5C5Wl4XeCrhl7PRWVeXNk0WS5IF0d2VHS2NOBV5bVT9tF5Uk\naVr6OgKjRHU0a7cLsM2kW2ttjCRvAA5j9fLUFwIfraq/bRnXfJIcxT1vtj8AeBZdwaFPTvDaO9It\ngz+I7jPVJ4BPVdVlk7qmhsGkUZIkSTOv7ye9X394RlWd1zKeDZVke+DUKRYa3Bs4AdijqtyKssQ5\nwyJpo1lVTZK0qauqFdyzV+Mmo69aO9FrJPk54Dl0s40HAMuBoyZ6UQ2CSaOkxTBeVW0ulzNIkjRh\nSZ4OXD+h134mXaL4POBbdPtXj6iqmyZxPQ2Py1M1NXNmoUZlmu8+djZKkiRp7ZLMVyH5/sBP6PpP\nf3cC1zydLlE8qW8NpxnjTKOmaTQLtS/wKLqmvwF+B/h2q6C0eJLsCvwJXZ+40c+XqqqnNwtKkqR1\nSPJw4CdVdUt/vBXwwKq6smlg8/tfc44LuHaSs35VNYnej9qEONOoqUuyHHhG38dptD7+lCn3G9IE\nJLmQrt3GucBd/XD1+0QkSRqkJCuAJ1XV7f3xFsA3quqxbSOThsGZRrXwS8B9gdHyhm37MW367qiq\nv28dhCRJG2jZKGEEqKrb+pvakjBpVBvvAs7tZxwL2B8rby0VJyd5FV2fq9tGg1V1XbuQJElap5VJ\nXlBVnwdI8gJgZeOYpMFweaqaSPJLwBPoksZzqurqxiFpESS5knmqpVbVTtOPRpKk9ZPkEcA/Aw/u\nh34EHFpVP2gXlTQcJo1qIslDWF0spQCq6oyWMUmSpNmWZBu6z8c3to5FGhKXp2rqkrwbOIiut99d\nY6dMGjdRSQ6oqlOTHMj8M42faRCWJElrleTQqjoxyRsZe/9KErpCbse2i04aDpNGtfBbwK5Vdds6\nf6U2FU8BTqUrAz7f8gWTRknSEG3df9+WNd+/wvzvZ9JMcnmqpi7Jl4AXu/RDkiRJGj5nGtXCLcD5\nSU5ldYXNqqrXNIxJiyDJ/YHfY/V+VfDvVpI0UEnev5bTvn9JPZNGtfCF/mucU95Lw/8BzgIuBFbh\n8h5J0rCtoHufyjznfP+Sei5PlbRokpxbVY9pHYckSfdGkvsBq9xCI63JpFFTl2QX4J3Ao4Ct+uGq\nqoe3i0qLIckbgJuAk1m99Jiquq5ZUJIkrUOSxwH/CNy3H7oBOLyqvt0uKmk4XJ6qFk4A3gYcC+wP\n/D6wWcuAtGhuA94DvJVueSp0y3u8ISBJGrJ/BP6oqr4OkGS/fmzPplFJA+FMo6ZutIQxyUVVtUc/\ndmZV7dc6Nm2cJJcDj6+qla1jkSRpfSX5RlU9eV1j0qxyplEt3JJkGfCDJK8G/hPYoXFMWhwX01XH\nlSRp8JLs0z/8VpIPA5/sjw8CljcJShogZxo1dUkeD3wX2A54B93+gfdU1dlNA9NGS/I5YHfgdGyn\nIkkauCTLWV0lNXMfV9XTWsQlDY1Jo6RFk+Sw/uHcN92PtYlIkiRJG8ukUdKiSrIFsEt/eGlV3dEy\nHkmS1iXJ21jdr/HuD8dVdXSzoKQBcU+jpEWTZH/gY8BV/dDDkrysqr7WLipJktbpZ6xOFrcCngd8\np1040rA40yhp0SQ5Fzikqr7XH+8CfKqqHtM2MkmS1l+/aubkqnpm61ikIXCmUVOXZCvgcLqCKVv2\nw1VVL28XlRbJ5qOEEaCqLkvizxlJ0qbmPsBOrYOQhsIPc2rhRLrqqc8C3g68tD/Wpm9Fkn+g+zsO\n8BJgRduQJElauyQXjR1uBvwi4H5GqefyVE1dkvOraq8kF1bVnkl+DviqZa03fUm2BF4FPJkuaTwD\n+GBV3bbWJ0qS1FCSHfuHBdwJ/NRCbtJqzjSqhdv77/+dZA/gauBXGsajRVJVtyY5ETixqn7aOh5J\nktZHVV2ZZB9gP2AV8A3g3LZRScOxWesANJOOT7I9cCTwBbrqZO9pG5I2RjpHJVkJXAp8L8nKJG9L\nktbxSZK0Nkn+AvgosD2wA3BCkj9vGpQ0IC5PlbTRkrwe+E3giKq6oh97OPAh4MtVdWzL+CRJWpsk\nlwJ7VdWt/fFWwHlVtVvbyKRhcHmqpibJoVV1YpI3jg3f3UjXxGKT9jLgGVV1zWigqi5P8hLgFMC/\nW0nSkF1B15/x1v54S+AH7cKRhsWkUdO0df99W1Y30IU+aZx+OFpEm48njCNVdY0tNyRJm4DbgUuS\nfLU/fgZwZpL3093Yfk270KT2XJ4qaaMlOa+q9t7Qc5IkDUGSw/qHow/Goxvaoy60qLgAAAzXSURB\nVNVQH2sRlzQUJo2auiS/CLwS2JHVs91VVS9vFpQ2SpK7gJsXOL1VVTnbKEkatCRbAw+rqktbxyIN\njR/k1MLn6fr3nUJX1hpcnrpJq6plrWOQJOneSvJ84K+BLYAdk+wNvL2qnt82MmkYnGnU1CU5v6r2\nah2HJEkSQJJzgacDp4+2VCS5qKr2aBuZNAz2aVQLX0zy3NZBSJIk9e6sqhvmjDmzIvVMGtXC64CT\nk9ya5Mb+639aByVJkmbWxX2bqM2TPLKvmvrN1kFJQ+HyVEmSJM20JPcB3go8sx/6CvCOqrp14WdJ\ns8OkUVOX5MnABVV1U5JDgb2B46rqqsahSZIkkWQ34I1V9crWsUhD4PJUtfAh4OYkjwbeBFwFfLxt\nSJIkadYkeXSSrya5JMn/TvLAJCcBpwLfbR2fNBQmjWrhzqpaBbwQeF9VHQds2zgmSZI0e44HPgEc\nCKwEzgOuAHauqmNbBiYNictTNXVJzgC+DPw+8Ov0P6Qtay1JkqZpbhuwJD8EdqqqOxuGJQ3O5q0D\n0Ew6CPhd4OVVdXWSh9E11JUkSZqmLZM8pn8c4GfAnkkCVFWd2y40aTicaVQTSR4EPI6uB9K3quqn\njUOSJEkzJsly1uzHmPHjqnratGOShsikUVOX5MV0M4tf64eeArypqv61XVSSJEmS5mPSqKlLciHw\nG6PZxSQ7AKdW1Z5tI5MkSZI0l9VT1UKAa8aOr+3HJEmSJA2MhXDUwpeBryT5BF2yeBDwpbYhSZIk\nSZqPy1M1dX1FshcB+/VDZ1TVZxuGJEmSZliSFwGnVdUN/fF2wP5V9bm2kUnDYNKopvr9jCvLf4iS\nJKmRJBdU1aPnjK3Rw1GaZe5p1NQkeVKS5Uk+k2TvJBcDFwH/leQ5reOTJEkza77aCsumHoU0UM40\namqSrADeDNwPOB54dlWdnWQ34FPezZMkSS0kOQG4Hvi7fujVwP2r6rBmQUkD4kyjpmlZVX2178f4\nk6o6G6CqLmXNxrqSJEnT9MfAHcCngX8BbgVe1TQiaUCsnqppGk8Mb20WhSRJ0piqugn409ZxSEPl\n8lRNTZK7gJv7w62AW8ZOb1VV3sSQJElTk+S4qnptkpPnOV1V9fypByUNkB/SNTVV5YZySZI0JB/v\nv//NPOecWZF6Jo2SJEmaSVW1on+4V1W9d/xcktcBX5t+VNLwWAhHkiRJs+5l84wdNu0gpKFyplGS\nJEkzKckhwO8CO83Z17gtsLJNVNLwmDRKkiRpVn0T+AmwA3AMkH78RuCCVkFJQ2P1VEmSJEnSgtzT\nKEmSpJmW5ElJ/j3JTUnuSLIqyf+0jksaCpNGSZIkzboP0O1t/D6wJXB4PyYJ9zRKkiRJVNX3kyyr\nqruAE5Kc1TomaShMGiVJkjTrfpZkC+CCJO8Brga2bhyTNBguT5UkSdKsO5Tuc/GrgZuBhwIHNo1I\nGhCrp0qSJGlmJdkc+GhVvbR1LNJQOdMoSZKkmVVVdwI79MtTJc3DPY2SJEmadVcBZyb5At3yVICq\nqmMbxiQNhkmjJEmSZt1/9l+bAds0jkUaHPc0SpIkSZIW5J5GSZIkzbQkpyTZbux4+yRfaRmTNCQm\njZIkSZp1O1TVDaODqroOeGDDeKRBMWmUJEnSrLsrya+MDpLsCKxqFo00MBbCkSRJ0qx7K/D1JGcA\nBTwVOKJtSNJwWAhHkiRJMy/JDsATgABnVdXKxiFJg+FMoyRJkgT7Ak8ZOz65VSDS0DjTKEmSpJmW\n5F3A44B/pptpPBhYUVV/1jQwaSBMGiVJkjTTklwE7FVVd/XHy4Dzq2qPtpFJw2D1VEmSJM26ArYb\nO96uH5OEexolSZKkvwLOTbK8P34q8OZ24UjD4vJUSZIkzbwkD6bb1whwTlVd3TIeaUhcnipJkiTB\nDv33zYF9k7yoZTDSkLg8VZIkSTMtyQnAHsAlwKqxU59pE5E0LC5PlSRJ0kxL8h1g9/KDsTQvl6dK\nkiRp1p0NPKp1ENJQOdMoSZKkmZbkKcDJwH8Bt/XDVVV7totKGg6TRkmSJM20JP8BvB64mLE9jVV1\nZauYpCGxEI4kSZJm3VVV9YXWQUhD5UyjJEmSZlqSDwLb0S1Rvb0frqqyeqqEM42SJEnS1nTJ4jPn\njJs0SjjTKEmSJElaC1tuSJIkaaYl2TXJqUku6Y/3THJk67ikoTBplCRJ0qw7HngLq/czXgQc0i4c\naVhMGiVJkjTrtq6qc0YH1e3fuqNhPNKgmDRKkiRp1l2T5BGjgyS/DfykYTzSoFgIR5IkSTMtyc7A\nR4B9geuBK4CXVNWVLeOShsKkUZIkSQKS3AfYrKpubB2LNCQmjZIkSZpZSXYDjgB264e+AxxfVd9r\nF5U0LO5plCRJ0kxK8iTgdOBGuuWpxwM3A8v7c5JwplGSJEkzKsmXgXdV1fI5408F/qyqntMkMGlg\nTBolSZI0k5JcVlW7LHDue1W167RjkobI5amSJEmaVTet5dzNU4tCGrjNWwcgSZIkNfLLSd4HZJ5z\nD5l2MNJQmTRKkiRpVr0JmG+vVoBvTzkWabDc0yhJkiRJWpB7GiVJkiRJCzJplCRJkiQtyKRRkiRJ\nkrQgk0ZJkiTNtCS7Jjk1ySX98Z5JjmwdlzQUJo2SJEmadccDbwFu748vAg5pF440LCaNkiRJmnVb\nV9U5o4Pq2gvc0TAeaVBMGiVJkjTrrknyiNFBkt8GftIwHmlQ7NMoSZKkmZZkZ+AjwL7A9cAVwEuq\n6sqWcUlDYdIoSZIkAUnuA2xWVTe2jkUaEpNGSZIkzbQkWwIHAjsCy4DQbW08umVc0lBs3joASZIk\nqbHPAzcAK4BbG8ciDY4zjZIkSZppSS6uql9rHYc0VFZPlSRJ0qz7ZpI9WwchDZUzjZIkSZpJSS4B\nVtHtY3wkXdXU2/rTVVUmkhLuaZQkSdLsejCwF13hG0kLMGmUJEnSrLqyqq5qHYQ0dCaNkiRJmlU7\nJHkD8880VlUdO+2ApCEyaZQkSdKsWgZs2zoIaegshCNJkqSZlOS8qtq7dRzS0NlyQ5IkSZK0IGca\nJUmSNJOSPKCqrm0dhzR0Jo2SJEmSpAW5PFWSJEmStCCTRkmSJEnSgkwaJUmSJEkLMmmUJEmSJC3I\npFGS1ESSByX5VJIfJLkkyb8leWSS3ZOcluR7SS5LcuTYc45K8sY5r3Nlku37x6uSHDN27k+SvC3J\nW5Kc13/dNfb4j/vX/FF/fEmSg5P8YpLLkzxw7LU+mORPF/i97N9f+3ljY19M8tSx4x2S3JHkiHni\nP2PO2PlJLhp77f8ei/m8JE/f0D9vSZLuLZNGSdLUJQnwWeC0qnpEVe0OvBl4EPB54J1VtSvwaGDf\nJH/UP3W+kt/jY7cDv5XkAePnquqdVbV338T75tHjqnp//2uO7c+9APgwcB3wbuCYPt7HAE8eHS/g\nR8Bb58Q1HtvvAGcBh8zz3G2SPLS/1q/O89yvjcW8d1WdtpY4JElaVCaNkqQWngbcXlUfGQ1U1YXA\nLsCZVfV/+7FbgFcDf7aer3sH8BHg9RsYT/rr/QC4Gdiuf52dkzwNeD/wqqq6a4HnF3ABcEOS31jg\n1xwMvBF4aJIHz3nuvwAH9ceHAJ8cxTQenyRJLZg0SpJa+DVgxTzjj5o7XlWX083Ebbuer/1B4CVJ\n7ruhQfUzipdV1crqGhn/IXAS8L2qOnNtT+2//yVw5D1OJr8MPKiq/p01E8SRk4AX9Y+fB5w85/yv\nz1meutMG/cYkSdoIJo2SpBbmW2YKa59Rm7tkc97Xq6obgY8Dr1nPWAK8PsmlwNnA28de6wLgIrpE\ndJ1GiWWS/eacOpguWQT4NPdconodcH2Sg4Hv0M12jvv6nOWpV6xPPJIkLQaTRklSC5cA+yww/tjx\ngSQPB26qqpuAa4H7z3nOtsANc8beCxwO3Gc9YhntadyNbgbw40m2GDu/qv9aX/PNNh4CHJbkCro9\nm3sm2XlODJ8GPsA9l6ZKktSUSaMkaer6Qi5bJHnFaCzJ44DvA/slOaAf2wp4H11RGoAzgOcn2aY/\n/yLg/H4p6fjrX083s3c4C89Ojhvtafws8G3gZRvxezuFbk/ko/sYdwW2rqqHVtVOVbUT8C7uOdv4\nWbrf51fu7bUlSZoEk0ZJUiu/BTyjb7lxMfAXwI/pKpge2S8XvRA4p6r+DqCqLqKbjTszyXnAEcAr\nxl5zPEH8G+AX5rnuuiqwHg28YQN/L3OXzv4l8JD+8cHAZ+b8+pP68dUvUHVTVf11Vd05T0xz9zS+\nCEmSpiRzbs5KkiRJknQ3ZxolSZIkSQvavHUAkiRtKpI8i24/4rjLq+rAFvFIkjQNLk+VJEmSJC3I\n5amSJEmSpAWZNEqSJEmSFmTSKEmSJElakEmjJEmSJGlB/x8V2YFEF8aEWgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a22b70438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate correlations\n",
    "# df[['SECTOR_NAME', 'COUNTRY_NAME']]\n",
    "\n",
    "# Heatmap\n",
    "\n",
    "def count_rows(x):\n",
    "    return len(x)\n",
    "\n",
    "g = df.groupby(['SECTOR_NAME','COUNTRY_NAME']).apply(count_rows).unstack()\n",
    "plt.figure(figsize=(16,4))\n",
    "sns.heatmap(g, cmap='Blues', linewidth=0.5);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Farming                      0.093346\n",
       "General Store                0.088298\n",
       "Retail                       0.049494\n",
       "Food Production/Sales        0.045747\n",
       "Clothing Sales               0.041452\n",
       "Agriculture                  0.041236\n",
       "Personal Housing Expenses    0.040132\n",
       "Pigs                         0.031814\n",
       "Grocery Store                0.029673\n",
       "Fruits & Vegetables          0.025896\n",
       "Name: ACTIVITY_NAME, dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# By Activity\n",
    "df['ACTIVITY_NAME'].value_counts(1).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model: Field Partners vs. Direct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA7wAAAKlCAYAAADo7eDQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a2087efd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Field Partners\n",
    "plt.figure(figsize=(16,8))\n",
    "sns.boxplot(x='COUNTRY_NAME', y='LOAN_AMOUNT', data=df[df['DISTRIBUTION_MODEL']=='field_partner'])\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.ylim(0,10000);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAf4AAAFJCAYAAAB6oE/oAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a520392e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Direct\n",
    "plt.figure(figsize=(8,4))\n",
    "sns.boxplot(x='COUNTRY_NAME', y='LOAN_AMOUNT', data=df[df['DISTRIBUTION_MODEL']=='direct'])\n",
    "plt.xticks(rotation='vertical');\n",
    "plt.ylim(0,10000);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "COUNTRY_NAME\n",
       "Philippines      97984600.0\n",
       "Peru             79437775.0\n",
       "Kenya            66735975.0\n",
       "Paraguay         53964700.0\n",
       "Cambodia         51613525.0\n",
       "United States    46352000.0\n",
       "Bolivia          44226725.0\n",
       "El Salvador      41691550.0\n",
       "Tajikistan       39622125.0\n",
       "Uganda           38386500.0\n",
       "Name: LOAN_AMOUNT, dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g_country = df.groupby('COUNTRY_NAME')\n",
    "g_country['LOAN_AMOUNT'].sum().sort_values(ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.sort_values?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "//anaconda/lib/python3.5/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if self._edgecolors == str('face'):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a30f6ba58>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbsAAAFkCAYAAAC5AZXkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a5791e710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "corr = df[['LOAN_AMOUNT', 'LENDER_TERM', 'NUM_LENDERS_TOTAL', 'GROUP']].corr()\n",
    "sns.heatmap(corr, \n",
    "            xticklabels=corr.columns.values,\n",
    "            yticklabels=corr.columns.values,\n",
    "           cmap='Blues')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LOAN_ID</th>\n",
       "      <td>299091.0</td>\n",
       "      <td>684517.753299</td>\n",
       "      <td>400897.489946</td>\n",
       "      <td>84.000000</td>\n",
       "      <td>350143.500000</td>\n",
       "      <td>650220.000000</td>\n",
       "      <td>1.016290e+06</td>\n",
       "      <td>1.444083e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FUNDED_AMOUNT</th>\n",
       "      <td>299091.0</td>\n",
       "      <td>818.416335</td>\n",
       "      <td>1037.565375</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>350.000000</td>\n",
       "      <td>600.000000</td>\n",
       "      <td>1.000000e+03</td>\n",
       "      <td>1.000000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LOAN_AMOUNT</th>\n",
       "      <td>299091.0</td>\n",
       "      <td>893.585146</td>\n",
       "      <td>1117.962983</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>375.000000</td>\n",
       "      <td>650.000000</td>\n",
       "      <td>1.075000e+03</td>\n",
       "      <td>1.000000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CURRENCY_EXCHANGE_COVERAGE_RATE</th>\n",
       "      <td>213822.0</td>\n",
       "      <td>0.118312</td>\n",
       "      <td>0.038677</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>1.000000e-01</td>\n",
       "      <td>2.000000e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PARTNER_ID</th>\n",
       "      <td>295787.0</td>\n",
       "      <td>147.958068</td>\n",
       "      <td>84.742979</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>138.000000</td>\n",
       "      <td>1.770000e+02</td>\n",
       "      <td>5.560000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LENDER_TERM</th>\n",
       "      <td>299089.0</td>\n",
       "      <td>15.338525</td>\n",
       "      <td>8.194908</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>1.700000e+01</td>\n",
       "      <td>1.540000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NUM_LENDERS_TOTAL</th>\n",
       "      <td>299091.0</td>\n",
       "      <td>23.949253</td>\n",
       "      <td>29.123014</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>3.000000e+01</td>\n",
       "      <td>2.964000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diff_posted_planned</th>\n",
       "      <td>216612.0</td>\n",
       "      <td>38.170920</td>\n",
       "      <td>37.332793</td>\n",
       "      <td>15.000590</td>\n",
       "      <td>32.249971</td>\n",
       "      <td>34.693634</td>\n",
       "      <td>3.826752e+01</td>\n",
       "      <td>1.682236e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diff_posted_raised</th>\n",
       "      <td>269390.0</td>\n",
       "      <td>16.413751</td>\n",
       "      <td>15.546183</td>\n",
       "      <td>-381.029803</td>\n",
       "      <td>4.907778</td>\n",
       "      <td>11.818576</td>\n",
       "      <td>2.748916e+01</td>\n",
       "      <td>4.018420e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GROUP</th>\n",
       "      <td>299091.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    count           mean            std  \\\n",
       "LOAN_ID                          299091.0  684517.753299  400897.489946   \n",
       "FUNDED_AMOUNT                    299091.0     818.416335    1037.565375   \n",
       "LOAN_AMOUNT                      299091.0     893.585146    1117.962983   \n",
       "CURRENCY_EXCHANGE_COVERAGE_RATE  213822.0       0.118312       0.038677   \n",
       "PARTNER_ID                       295787.0     147.958068      84.742979   \n",
       "LENDER_TERM                      299089.0      15.338525       8.194908   \n",
       "NUM_LENDERS_TOTAL                299091.0      23.949253      29.123014   \n",
       "diff_posted_planned              216612.0      38.170920      37.332793   \n",
       "diff_posted_raised               269390.0      16.413751      15.546183   \n",
       "GROUP                            299091.0       0.000000       0.000000   \n",
       "\n",
       "                                        min            25%            50%  \\\n",
       "LOAN_ID                           84.000000  350143.500000  650220.000000   \n",
       "FUNDED_AMOUNT                      0.000000     350.000000     600.000000   \n",
       "LOAN_AMOUNT                       25.000000     375.000000     650.000000   \n",
       "CURRENCY_EXCHANGE_COVERAGE_RATE    0.100000       0.100000       0.100000   \n",
       "PARTNER_ID                         1.000000      88.000000     138.000000   \n",
       "LENDER_TERM                        1.000000      11.000000      14.000000   \n",
       "NUM_LENDERS_TOTAL                  0.000000      10.000000      18.000000   \n",
       "diff_posted_planned               15.000590      32.249971      34.693634   \n",
       "diff_posted_raised              -381.029803       4.907778      11.818576   \n",
       "GROUP                              0.000000       0.000000       0.000000   \n",
       "\n",
       "                                          75%           max  \n",
       "LOAN_ID                          1.016290e+06  1.444083e+06  \n",
       "FUNDED_AMOUNT                    1.000000e+03  1.000000e+05  \n",
       "LOAN_AMOUNT                      1.075000e+03  1.000000e+05  \n",
       "CURRENCY_EXCHANGE_COVERAGE_RATE  1.000000e-01  2.000000e-01  \n",
       "PARTNER_ID                       1.770000e+02  5.560000e+02  \n",
       "LENDER_TERM                      1.700000e+01  1.540000e+02  \n",
       "NUM_LENDERS_TOTAL                3.000000e+01  2.964000e+03  \n",
       "diff_posted_planned              3.826752e+01  1.682236e+03  \n",
       "diff_posted_raised               2.748916e+01  4.018420e+02  \n",
       "GROUP                            0.000000e+00  0.000000e+00  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[male].describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LOAN_ID</th>\n",
       "      <td>875654.0</td>\n",
       "      <td>735412.357246</td>\n",
       "      <td>421467.392371</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>369309.250000</td>\n",
       "      <td>744428.500000</td>\n",
       "      <td>1.103760e+06</td>\n",
       "      <td>1.444085e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FUNDED_AMOUNT</th>\n",
       "      <td>875654.0</td>\n",
       "      <td>571.326568</td>\n",
       "      <td>690.695194</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>250.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>7.000000e+02</td>\n",
       "      <td>1.000000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LOAN_AMOUNT</th>\n",
       "      <td>875654.0</td>\n",
       "      <td>590.792996</td>\n",
       "      <td>724.683796</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>250.000000</td>\n",
       "      <td>425.000000</td>\n",
       "      <td>7.250000e+02</td>\n",
       "      <td>1.000000e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CURRENCY_EXCHANGE_COVERAGE_RATE</th>\n",
       "      <td>682705.0</td>\n",
       "      <td>0.115547</td>\n",
       "      <td>0.036235</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>1.000000e-01</td>\n",
       "      <td>2.000000e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PARTNER_ID</th>\n",
       "      <td>862627.0</td>\n",
       "      <td>146.752978</td>\n",
       "      <td>82.683943</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>106.000000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>1.640000e+02</td>\n",
       "      <td>5.570000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LENDER_TERM</th>\n",
       "      <td>875635.0</td>\n",
       "      <td>12.763851</td>\n",
       "      <td>7.088230</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.400000e+01</td>\n",
       "      <td>1.580000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NUM_LENDERS_TOTAL</th>\n",
       "      <td>875654.0</td>\n",
       "      <td>16.934586</td>\n",
       "      <td>20.183729</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2.100000e+01</td>\n",
       "      <td>3.045000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diff_posted_planned</th>\n",
       "      <td>649053.0</td>\n",
       "      <td>37.726567</td>\n",
       "      <td>27.712349</td>\n",
       "      <td>15.001146</td>\n",
       "      <td>32.356238</td>\n",
       "      <td>34.678472</td>\n",
       "      <td>3.804588e+01</td>\n",
       "      <td>1.682307e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>diff_posted_raised</th>\n",
       "      <td>850789.0</td>\n",
       "      <td>11.146252</td>\n",
       "      <td>13.949701</td>\n",
       "      <td>-381.029803</td>\n",
       "      <td>3.162384</td>\n",
       "      <td>6.734363</td>\n",
       "      <td>1.500288e+01</td>\n",
       "      <td>5.337236e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GROUP</th>\n",
       "      <td>875654.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    count           mean            std  \\\n",
       "LOAN_ID                          875654.0  735412.357246  421467.392371   \n",
       "FUNDED_AMOUNT                    875654.0     571.326568     690.695194   \n",
       "LOAN_AMOUNT                      875654.0     590.792996     724.683796   \n",
       "CURRENCY_EXCHANGE_COVERAGE_RATE  682705.0       0.115547       0.036235   \n",
       "PARTNER_ID                       862627.0     146.752978      82.683943   \n",
       "LENDER_TERM                      875635.0      12.763851       7.088230   \n",
       "NUM_LENDERS_TOTAL                875654.0      16.934586      20.183729   \n",
       "diff_posted_planned              649053.0      37.726567      27.712349   \n",
       "diff_posted_raised               850789.0      11.146252      13.949701   \n",
       "GROUP                            875654.0       0.000000       0.000000   \n",
       "\n",
       "                                        min            25%            50%  \\\n",
       "LOAN_ID                           88.000000  369309.250000  744428.500000   \n",
       "FUNDED_AMOUNT                      0.000000     250.000000     400.000000   \n",
       "LOAN_AMOUNT                       25.000000     250.000000     425.000000   \n",
       "CURRENCY_EXCHANGE_COVERAGE_RATE    0.100000       0.100000       0.100000   \n",
       "PARTNER_ID                         1.000000     106.000000     144.000000   \n",
       "LENDER_TERM                        1.000000       8.000000      12.000000   \n",
       "NUM_LENDERS_TOTAL                  0.000000       7.000000      12.000000   \n",
       "diff_posted_planned               15.001146      32.356238      34.678472   \n",
       "diff_posted_raised              -381.029803       3.162384       6.734363   \n",
       "GROUP                              0.000000       0.000000       0.000000   \n",
       "\n",
       "                                          75%           max  \n",
       "LOAN_ID                          1.103760e+06  1.444085e+06  \n",
       "FUNDED_AMOUNT                    7.000000e+02  1.000000e+05  \n",
       "LOAN_AMOUNT                      7.250000e+02  1.000000e+05  \n",
       "CURRENCY_EXCHANGE_COVERAGE_RATE  1.000000e-01  2.000000e-01  \n",
       "PARTNER_ID                       1.640000e+02  5.570000e+02  \n",
       "LENDER_TERM                      1.400000e+01  1.580000e+02  \n",
       "NUM_LENDERS_TOTAL                2.100000e+01  3.045000e+03  \n",
       "diff_posted_planned              3.804588e+01  1.682307e+03  \n",
       "diff_posted_raised               1.500288e+01  5.337236e+02  \n",
       "GROUP                            0.000000e+00  0.000000e+00  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[female].describe().transpose()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "//anaconda/lib/python3.5/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if self._edgecolors == str('face'):\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqkAAAI3CAYAAAC4SsL0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nlJEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a340870b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.lmplot(x=\"LOAN_AMOUNT\", y=\"NUM_LENDERS_TOTAL\", hue = 'BORROWER_GENDERS',\n",
    "               truncate=True, size=8, data=df[individual])\n",
    "g.set_axis_labels(\"Loan Size\", \"Number of Lenders\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "//anaconda/lib/python3.5/site-packages/matplotlib/collections.py:590: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison\n",
      "  if self._edgecolors == str('face'):\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAFfCAYAAABZZiv2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSCQKHCIiEokCh4iIRPL/YhrWT4SLwroAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a52041e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.lmplot(x=\"LOAN_AMOUNT\", y=\"NUM_LENDERS_TOTAL\", hue='GROUP',\n",
    "               truncate=True, size=5, data=df)\n",
    "g.set_axis_labels(\"Loan Size\", \"Number of Lenders\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Other questions?"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.5.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}