Task 1 ANZ_EDA_Predictive_Analysis.ipynb .txt

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(r\"C:\\Users\\lenovo\\Downloads\\Virtual Internship 2020\\ANZ Virtual Internship\\ANZ_synthesised_transaction_dataset_raw.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>status</th>\n",
       "      <th>card_present_flag</th>\n",
       "      <th>bpay_biller_code</th>\n",
       "      <th>account</th>\n",
       "      <th>currency</th>\n",
       "      <th>long_lat</th>\n",
       "      <th>txn_description</th>\n",
       "      <th>merchant_id</th>\n",
       "      <th>merchant_code</th>\n",
       "      <th>first_name</th>\n",
       "      <th>...</th>\n",
       "      <th>age</th>\n",
       "      <th>merchant_suburb</th>\n",
       "      <th>merchant_state</th>\n",
       "      <th>extraction</th>\n",
       "      <th>amount</th>\n",
       "      <th>transaction_id</th>\n",
       "      <th>country</th>\n",
       "      <th>customer_id</th>\n",
       "      <th>merchant_long_lat</th>\n",
       "      <th>movement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>authorized</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ACC-1598451071</td>\n",
       "      <td>AUD</td>\n",
       "      <td>153.41 -27.95</td>\n",
       "      <td>POS</td>\n",
       "      <td>81c48296-73be-44a7-befa-d053f48ce7cd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Diana</td>\n",
       "      <td>...</td>\n",
       "      <td>26</td>\n",
       "      <td>Ashmore</td>\n",
       "      <td>QLD</td>\n",
       "      <td>2018-08-01T01:01:15.000+0000</td>\n",
       "      <td>16.25</td>\n",
       "      <td>a623070bfead4541a6b0fff8a09e706c</td>\n",
       "      <td>Australia</td>\n",
       "      <td>CUS-2487424745</td>\n",
       "      <td>153.38 -27.99</td>\n",
       "      <td>debit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>authorized</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ACC-1598451071</td>\n",
       "      <td>AUD</td>\n",
       "      <td>153.41 -27.95</td>\n",
       "      <td>SALES-POS</td>\n",
       "      <td>830a451c-316e-4a6a-bf25-e37caedca49e</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Diana</td>\n",
       "      <td>...</td>\n",
       "      <td>26</td>\n",
       "      <td>Sydney</td>\n",
       "      <td>NSW</td>\n",
       "      <td>2018-08-01T01:13:45.000+0000</td>\n",
       "      <td>14.19</td>\n",
       "      <td>13270a2a902145da9db4c951e04b51b9</td>\n",
       "      <td>Australia</td>\n",
       "      <td>CUS-2487424745</td>\n",
       "      <td>151.21 -33.87</td>\n",
       "      <td>debit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>authorized</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ACC-1222300524</td>\n",
       "      <td>AUD</td>\n",
       "      <td>151.23 -33.94</td>\n",
       "      <td>POS</td>\n",
       "      <td>835c231d-8cdf-4e96-859d-e9d571760cf0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Michael</td>\n",
       "      <td>...</td>\n",
       "      <td>38</td>\n",
       "      <td>Sydney</td>\n",
       "      <td>NSW</td>\n",
       "      <td>2018-08-01T01:26:15.000+0000</td>\n",
       "      <td>6.42</td>\n",
       "      <td>feb79e7ecd7048a5a36ec889d1a94270</td>\n",
       "      <td>Australia</td>\n",
       "      <td>CUS-2142601169</td>\n",
       "      <td>151.21 -33.87</td>\n",
       "      <td>debit</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       status  card_present_flag bpay_biller_code         account currency  \\\n",
       "0  authorized                1.0              NaN  ACC-1598451071      AUD   \n",
       "1  authorized                0.0              NaN  ACC-1598451071      AUD   \n",
       "2  authorized                1.0              NaN  ACC-1222300524      AUD   \n",
       "\n",
       "        long_lat txn_description                           merchant_id  \\\n",
       "0  153.41 -27.95             POS  81c48296-73be-44a7-befa-d053f48ce7cd   \n",
       "1  153.41 -27.95       SALES-POS  830a451c-316e-4a6a-bf25-e37caedca49e   \n",
       "2  151.23 -33.94             POS  835c231d-8cdf-4e96-859d-e9d571760cf0   \n",
       "\n",
       "   merchant_code first_name  ...  age merchant_suburb merchant_state  \\\n",
       "0            NaN      Diana  ...   26         Ashmore            QLD   \n",
       "1            NaN      Diana  ...   26          Sydney            NSW   \n",
       "2            NaN    Michael  ...   38          Sydney            NSW   \n",
       "\n",
       "                     extraction amount                    transaction_id  \\\n",
       "0  2018-08-01T01:01:15.000+0000  16.25  a623070bfead4541a6b0fff8a09e706c   \n",
       "1  2018-08-01T01:13:45.000+0000  14.19  13270a2a902145da9db4c951e04b51b9   \n",
       "2  2018-08-01T01:26:15.000+0000   6.42  feb79e7ecd7048a5a36ec889d1a94270   \n",
       "\n",
       "     country     customer_id merchant_long_lat movement  \n",
       "0  Australia  CUS-2487424745     153.38 -27.99    debit  \n",
       "1  Australia  CUS-2487424745     151.21 -33.87    debit  \n",
       "2  Australia  CUS-2142601169     151.21 -33.87    debit  \n",
       "\n",
       "[3 rows x 23 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 12043 entries, 0 to 12042\n",
      "Data columns (total 23 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   status             12043 non-null  object \n",
      " 1   card_present_flag  7717 non-null   float64\n",
      " 2   bpay_biller_code   885 non-null    object \n",
      " 3   account            12043 non-null  object \n",
      " 4   currency           12043 non-null  object \n",
      " 5   long_lat           12043 non-null  object \n",
      " 6   txn_description    12043 non-null  object \n",
      " 7   merchant_id        7717 non-null   object \n",
      " 8   merchant_code      883 non-null    float64\n",
      " 9   first_name         12043 non-null  object \n",
      " 10  balance            12043 non-null  float64\n",
      " 11  date               12043 non-null  object \n",
      " 12  gender             12043 non-null  object \n",
      " 13  age                12043 non-null  int64  \n",
      " 14  merchant_suburb    7717 non-null   object \n",
      " 15  merchant_state     7717 non-null   object \n",
      " 16  extraction         12043 non-null  object \n",
      " 17  amount             12043 non-null  float64\n",
      " 18  transaction_id     12043 non-null  object \n",
      " 19  country            12043 non-null  object \n",
      " 20  customer_id        12043 non-null  object \n",
      " 21  merchant_long_lat  7717 non-null   object \n",
      " 22  movement           12043 non-null  object \n",
      "dtypes: float64(4), int64(1), object(18)\n",
      "memory usage: 1.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>card_present_flag</th>\n",
       "      <th>merchant_code</th>\n",
       "      <th>balance</th>\n",
       "      <th>age</th>\n",
       "      <th>amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7717.000000</td>\n",
       "      <td>883.0</td>\n",
       "      <td>12043.000000</td>\n",
       "      <td>12043.000000</td>\n",
       "      <td>12043.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.802644</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14704.195553</td>\n",
       "      <td>30.582330</td>\n",
       "      <td>187.933588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.398029</td>\n",
       "      <td>0.0</td>\n",
       "      <td>31503.722652</td>\n",
       "      <td>10.046343</td>\n",
       "      <td>592.599934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3158.585000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>16.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6432.010000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>29.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12465.945000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>53.655000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>267128.520000</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>8835.980000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       card_present_flag  merchant_code        balance           age  \\\n",
       "count        7717.000000          883.0   12043.000000  12043.000000   \n",
       "mean            0.802644            0.0   14704.195553     30.582330   \n",
       "std             0.398029            0.0   31503.722652     10.046343   \n",
       "min             0.000000            0.0       0.240000     18.000000   \n",
       "25%             1.000000            0.0    3158.585000     22.000000   \n",
       "50%             1.000000            0.0    6432.010000     28.000000   \n",
       "75%             1.000000            0.0   12465.945000     38.000000   \n",
       "max             1.000000            0.0  267128.520000     78.000000   \n",
       "\n",
       "             amount  \n",
       "count  12043.000000  \n",
       "mean     187.933588  \n",
       "std      592.599934  \n",
       "min        0.100000  \n",
       "25%       16.000000  \n",
       "50%       29.000000  \n",
       "75%       53.655000  \n",
       "max     8835.980000  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "status                   0\n",
       "card_present_flag     4326\n",
       "bpay_biller_code     11158\n",
       "account                  0\n",
       "currency                 0\n",
       "long_lat                 0\n",
       "txn_description          0\n",
       "merchant_id           4326\n",
       "merchant_code        11160\n",
       "first_name               0\n",
       "balance                  0\n",
       "date                     0\n",
       "gender                   0\n",
       "age                      0\n",
       "merchant_suburb       4326\n",
       "merchant_state        4326\n",
       "extraction               0\n",
       "amount                   0\n",
       "transaction_id           0\n",
       "country                  0\n",
       "customer_id              0\n",
       "merchant_long_lat     4326\n",
       "movement                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Check total number of null values in dataframe\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ACC-1598451071    578\n",
       "ACC-1222300524    303\n",
       "ACC-182446574     292\n",
       "ACC-4258502723    260\n",
       "ACC-1037050564    259\n",
       "                 ... \n",
       "ACC-1998563091     40\n",
       "ACC-3881031190     37\n",
       "ACC-721712940      34\n",
       "ACC-4059612845     31\n",
       "ACC-1217063613     25\n",
       "Name: account, Length: 100, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## This is data set of 100 customers.\n",
    "df['account'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add month_number, week_day & hour column in df using date & extraction column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"Month\"] = df[\"date\"].str[3:5]\n",
    "df[\"Month\"] = df[\"Month\"].astype('int32')\n",
    "\n",
    "df['day'] = pd.DatetimeIndex(df['date']).day_name() \n",
    "\n",
    "df['Hour'] = df['extraction'].str[11:13]\n",
    "df['Hour'] = pd.to_numeric(df[\"Hour\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create longitude & latitude columns and plot in a graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>status</th>\n",
       "      <th>card_present_flag</th>\n",
       "      <th>bpay_biller_code</th>\n",
       "      <th>account</th>\n",
       "      <th>currency</th>\n",
       "      <th>long_lat</th>\n",
       "      <th>txn_description</th>\n",
       "      <th>merchant_id</th>\n",
       "      <th>merchant_code</th>\n",
       "      <th>first_name</th>\n",
       "      <th>...</th>\n",
       "      <th>transaction_id</th>\n",
       "      <th>country</th>\n",
       "      <th>customer_id</th>\n",
       "      <th>merchant_long_lat</th>\n",
       "      <th>movement</th>\n",
       "      <th>Month</th>\n",
       "      <th>day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>authorized</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ACC-1598451071</td>\n",
       "      <td>AUD</td>\n",
       "      <td>153.41 -27.95</td>\n",
       "      <td>POS</td>\n",
       "      <td>81c48296-73be-44a7-befa-d053f48ce7cd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Diana</td>\n",
       "      <td>...</td>\n",
       "      <td>a623070bfead4541a6b0fff8a09e706c</td>\n",
       "      <td>Australia</td>\n",
       "      <td>CUS-2487424745</td>\n",
       "      <td>153.38 -27.99</td>\n",
       "      <td>debit</td>\n",
       "      <td>8</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1</td>\n",
       "      <td>153.41</td>\n",
       "      <td>27.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>authorized</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ACC-1598451071</td>\n",
       "      <td>AUD</td>\n",
       "      <td>153.41 -27.95</td>\n",
       "      <td>SALES-POS</td>\n",
       "      <td>830a451c-316e-4a6a-bf25-e37caedca49e</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Diana</td>\n",
       "      <td>...</td>\n",
       "      <td>13270a2a902145da9db4c951e04b51b9</td>\n",
       "      <td>Australia</td>\n",
       "      <td>CUS-2487424745</td>\n",
       "      <td>151.21 -33.87</td>\n",
       "      <td>debit</td>\n",
       "      <td>8</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1</td>\n",
       "      <td>153.41</td>\n",
       "      <td>27.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>authorized</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ACC-1222300524</td>\n",
       "      <td>AUD</td>\n",
       "      <td>151.23 -33.94</td>\n",
       "      <td>POS</td>\n",
       "      <td>835c231d-8cdf-4e96-859d-e9d571760cf0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Michael</td>\n",
       "      <td>...</td>\n",
       "      <td>feb79e7ecd7048a5a36ec889d1a94270</td>\n",
       "      <td>Australia</td>\n",
       "      <td>CUS-2142601169</td>\n",
       "      <td>151.21 -33.87</td>\n",
       "      <td>debit</td>\n",
       "      <td>8</td>\n",
       "      <td>Monday</td>\n",
       "      <td>1</td>\n",
       "      <td>151.23</td>\n",
       "      <td>33.94</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       status  card_present_flag bpay_biller_code         account currency  \\\n",
       "0  authorized                1.0              NaN  ACC-1598451071      AUD   \n",
       "1  authorized                0.0              NaN  ACC-1598451071      AUD   \n",
       "2  authorized                1.0              NaN  ACC-1222300524      AUD   \n",
       "\n",
       "        long_lat txn_description                           merchant_id  \\\n",
       "0  153.41 -27.95             POS  81c48296-73be-44a7-befa-d053f48ce7cd   \n",
       "1  153.41 -27.95       SALES-POS  830a451c-316e-4a6a-bf25-e37caedca49e   \n",
       "2  151.23 -33.94             POS  835c231d-8cdf-4e96-859d-e9d571760cf0   \n",
       "\n",
       "   merchant_code first_name  ...                    transaction_id    country  \\\n",
       "0            NaN      Diana  ...  a623070bfead4541a6b0fff8a09e706c  Australia   \n",
       "1            NaN      Diana  ...  13270a2a902145da9db4c951e04b51b9  Australia   \n",
       "2            NaN    Michael  ...  feb79e7ecd7048a5a36ec889d1a94270  Australia   \n",
       "\n",
       "      customer_id  merchant_long_lat movement Month     day  Hour longitude  \\\n",
       "0  CUS-2487424745      153.38 -27.99    debit     8  Monday     1    153.41   \n",
       "1  CUS-2487424745      151.21 -33.87    debit     8  Monday     1    153.41   \n",
       "2  CUS-2142601169      151.21 -33.87    debit     8  Monday     1    151.23   \n",
       "\n",
       "  latitude  \n",
       "0    27.95  \n",
       "1    27.95  \n",
       "2    33.94  \n",
       "\n",
       "[3 rows x 28 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"longitude\"] = df[\"long_lat\"].str[:6]\n",
    "df[\"latitude\"] = df[\"long_lat\"].str[8:]\n",
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Make column numeric\n",
    "df['longitude'] = pd.to_numeric(df[\"longitude\"])  \n",
    "df['latitude'] = pd.to_numeric(df[\"latitude\"])  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "##Save in excel format i.e xlsx\n",
    "df.to_csv('ANZ_dataset.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Find different category in categorical variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Unique values at column:- status\n",
      "authorized    7717\n",
      "posted        4326\n",
      "Name: status, dtype: int64\n",
      "----------------------------------\n",
      "\n",
      "Unique values at column:- card_present_flag\n",
      "1.0    6194\n",
      "0.0    1523\n",
      "Name: card_present_flag, dtype: int64\n",
      "----------------------------------\n",
      "\n",
      "Unique values at column:- txn_description\n",
      "SALES-POS     3934\n",
      "POS           3783\n",
      "PAYMENT       2600\n",
      "PAY/SALARY     883\n",
      "INTER BANK     742\n",
      "PHONE BANK     101\n",
      "Name: txn_description, dtype: int64\n",
      "----------------------------------\n",
      "\n",
      "Unique values at column:- gender\n",
      "M    6285\n",
      "F    5758\n",
      "Name: gender, dtype: int64\n",
      "----------------------------------\n",
      "\n",
      "Unique values at column:- merchant_state\n",
      "NSW    2169\n",
      "VIC    2131\n",
      "QLD    1556\n",
      "WA     1100\n",
      "SA      415\n",
      "NT      205\n",
      "ACT      73\n",
      "TAS      68\n",
      "Name: merchant_state, dtype: int64\n",
      "----------------------------------\n",
      "\n",
      "Unique values at column:- country\n",
      "Australia    12043\n",
      "Name: country, dtype: int64\n",
      "----------------------------------\n",
      "\n",
      "Unique values at column:- currency\n",
      "AUD    12043\n",
      "Name: currency, dtype: int64\n",
      "----------------------------------\n",
      "\n",
      "Unique values at column:- movement\n",
      "debit     11160\n",
      "credit      883\n",
      "Name: movement, dtype: int64\n",
      "----------------------------------\n",
      "\n",
      "Unique values at column:- Month\n",
      "10    4087\n",
      "9     4013\n",
      "8     3943\n",
      "Name: Month, dtype: int64\n",
      "----------------------------------\n"
     ]
    }
   ],
   "source": [
    "cols1 =['status','card_present_flag','txn_description','gender','merchant_state','country','currency','movement','Month']\n",
    "\n",
    "for i in cols1:\n",
    "    print('\\nUnique values at column:-',i)\n",
    "    print(df[i].value_counts())\n",
    "    print('----------------------------------')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Fill missing value in card_present_flage column by its mode value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Find mode of card_present_flag column to fill misssing value\n",
    "df['card_present_flag'].mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Fill missing values with mode\n",
    "df['card_present_flag'].fillna(df['card_present_flag'].median(), inplace=True)\n",
    "\n",
    "## Now, check missing values in column\n",
    "df.card_present_flag.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Aggregation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Customers total salary in 3 months"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "account\n",
       "ACC-1037050564    11597.17\n",
       "ACC-1056639002    19170.06\n",
       "ACC-1199531521    26500.46\n",
       "ACC-1217063613     9727.24\n",
       "ACC-1222300524    13027.69\n",
       "Name: amount, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result = df[df['txn_description'] == 'PAY/SALARY'].groupby('account')['amount'].sum()\n",
    "result.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Graph of salary distribution\n",
    "result.hist(bins=40)\n",
    "plt.xlabels('Salary Distribution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc_grp = df.groupby('account')\n",
    "##quantity_ordered = product_group.sum()['Quantity Ordered']\n",
    "\n",
    "accounts = [product for product, df in acc_grp]\n",
    "plt.bar(accounts, result)\n",
    "plt.xticks(rotation = 'vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc_grp = df.groupby('account')\n",
    "##quantity_ordered = product_group.sum()['Quantity Ordered']\n",
    "\n",
    "accounts = [product for product, df in acc_grp]\n",
    "\n",
    "plt.plot(accounts, result)\n",
    "##all_data_my.groupby([\"Hour\"]).count()\n",
    "\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Salary distribution of customers month wise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "account         Month\n",
       "ACC-1037050564  8        3568.36\n",
       "                9        3568.36\n",
       "                10       4460.45\n",
       "ACC-1056639002  8        6390.02\n",
       "                9        6390.02\n",
       "                          ...   \n",
       "ACC-964839203   9        6240.80\n",
       "                10       6240.80\n",
       "ACC-966140392   8        7718.73\n",
       "                9        5145.82\n",
       "                10       5145.82\n",
       "Name: amount, Length: 296, dtype: float64"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result1 = df[df['txn_description'] == 'PAY/SALARY'].groupby(['account','Month'])['amount'].sum()\n",
    "result1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Graph of salary distribution\n",
    "result1.hist(bins=40)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explanatory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot a graph between longitude and latitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xb3c6c10>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Plot latitude and langitude in a graph to understand data better\n",
    "df.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "According to data and graph it seems there is lot of extreme or outliner values in columns, so we filter it down and than plot a graph again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "531     573.00\n",
       "622     573.00\n",
       "8799    573.00\n",
       "2130    573.00\n",
       "2794    573.00\n",
       "         ...  \n",
       "3524     12.37\n",
       "3510     12.37\n",
       "6390     12.37\n",
       "6403     12.37\n",
       "2541     12.37\n",
       "Name: latitude, Length: 12043, dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.latitude.sort_values(ascending =False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8371     255.00\n",
       "10164    255.00\n",
       "2034     255.00\n",
       "4465     255.00\n",
       "2096     255.00\n",
       "          ...  \n",
       "3811     114.62\n",
       "5359     114.62\n",
       "3807     114.62\n",
       "7826     114.62\n",
       "11667    114.62\n",
       "Name: longitude, Length: 12043, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.longitude.sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "123"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(df['latitude'] > 500)    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "123"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(df['longitude'] > 200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11920, 28)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_copy =df.copy()\n",
    "df_copy = df_copy[\n",
    "    (df.latitude < 500)\n",
    "   & (df.longitude < 200)\n",
    "     ]\n",
    "df_copy.shape "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x16551d0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Plot latitude and langitude in a graph to understand data better\n",
    "df_copy.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x5256fd0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SxWKx3OLs3dvHU0/VNyWWII1KPfzwNp56aorz51OBtH17H2GYsLDQotGIlkTSclWXoLc3z3hvQNWDSlPiGcPu3QGv2D+A5218HhykETGlDUNdhFA1TMi7Dvft6Nt0hZ1lGScICKwN1xUrliwWi+UWZ2CgQBB4xLEil9ucWCmXc7zhDds4dmyeEycaVCoOuZzH+HgfYEgStZQT5XlOJoYEzabCbUqKJRjfVeSuPb3k/M29NkCzkTAyUiSfW3m70saw2IwpBx737egjv0kRZlmJCUMia8N1xYoli8ViucVxHMFddw3y/PMzjIxs3qoqFHweeGCUsbE6J05UmJ2NmZ83uK6blfOnlW1SgpQJWmv6+1327Clyx529RDnBVD0GR5PbZPQnihXbtq207lqxoh5Ldg8W2TtUtBGlLcJ+it2xYslisVhuA7ZtK3Py5DxhKLtWlF0KxxGMj/cwNlamWo2Ynm4yOxtSrye0C+JcF/r6CgwP5xkZKVIu55aSyvsDn4nFFpUkIfBc8hvos1SrRQwMFJbsw1asaCaSwHdt1dsWY1sHXBorliwWi+U2wPddHnhgjCefPEs+X9pUZVwnjiPo7w/o7w94xStASr3ChuvWOLKc83jlSJlqmDDdiFkME1whyLkOvitwVq1HSY2UmvGdvSw2E5Q29BQ87hnuZaicx71J+ijdLIggIGdzlrpixZLFYrHcJgwNFdm7t5+zZ2sMDRW25JppntLGYhKuEAwUcgwUcjQTRS2S1GJJI1EobdJqLAEYWFwMufOOQfrKOQaKPgOl3E0zwuRmxIQhic1Z6ooVSxaLxXIbsX//EFNTjSu247aKou9S9F3GyGOMIdYGbQzGQLUScWB/D2947XYcx5pD14pr+UkLIf5X4JcAAzwL/GtgHPgCMAg8DbzPGBMLIfLA54DXAHPATxtjTmfX+SjwbwAF/Jox5ltXY71WLFksFstthO+7PPjgNp588iyuK/CvoEJtqxFCkHdTW63RiAk8h1c/MGaF0jVEBAH+NbLhhBA7gF8D7jHGtIQQfw68B/hR4P82xnxBCPGHpCLov2RfF4wxdwkh3gP8DvDTQoh7svPuBbYD3xZCvMIYo7Z6zVYsWSwWy23G4GCBV796nIMHzzM8XNz8UNurRKuVEEWK179+56Zm2Vm2gDBEXVsbzgMKQogEKAIXgH8OvDd7/rPAx0nF0o9njwEeBf4/kSbd/TjwBWNMBLwshDgJvA54YqsXe2P8F2KxWCyWa8rYWJlXvWqcubkWcbzlf4hvmkYjptWSvO51OzbdPNOyNThiazZgWAhxsGP7t52vY4w5B/weMEkqkirAIWDRGCOzw84CO7LHO4Az2bkyO36oc/8652wpNrJksVgstynbt/fgeYJDhy5QKvmUSrnrso7FxXTY7utfv9MKpeuECALcrbPhZo0xD3V9LSEGSKNC+4BF4C+Ad6xz6HJb+PWf67Z/y7FiyWKxWG5jRkfLPPLILo4cmWJmpsHQUBHnGpXlJ4lifr7F2FiZe+4ZsdbbdcSEIfrYNbPh/gXwsjFmBkAI8SXgEaBfCOFl0aOdwPns+LPALuCsEMID+oD5jv1tOs/ZUqwNZ7FYLLc5fX0BjzyyizvvHGR2tkmjEV/111xcDKlWYx58cBuvfvW4FUrXGcGW2nCXYxJ4vRCimOUe/QjwAvAd4N3ZMe8Hvpw9/kr2Pdnzf2fSYYRfAd4jhMgLIfYB+4GntuDjWIONLFksFosF13XYv3+I0dESR45MMT3doFj0KZX8K25guRqtDdVqRBwrRkdLNpp0IxEEOK+8NtVwxpgnhRCPkrYHkMBh4FPA14EvCCH+Q7bv09kpnwb+NEvgnietgMMY83xWSfdCdp1/dzUq4cCKJYvFYrF00NcX8MY37mZhocXLLy8wM9PCdQV9ffkrrpqLY0W1GmEM7NrVy86dvfT25rdMhFm2gCiEa2fDYYz5beC3V+1+ibSabfWxIfCTXa7zH4H/uOULXIUVSxaLxWJZgeMIhoaKDA0VaTRizp+vMTGxiJQGYwye5xAEHvm8i+OIJdFjjEEpQxhKwlCitUEIQRB43HPPCKOjJfJ5e9u5URE2Macr9qfWYrFYLF0plXLs3z/EXXcN0mpJms2EajVifr5FtRqRJKnrYUwqsnzfob8/YN++AcrlHKWSbwXSzUAQwCvsbLhu2J9gi8VisVwWIQTFok+x6DM8XOSOOwaWnktzbbG22s1MGMIJOxuuG1YsWSwWi+WHwoqkWwCBrY+/BFYsWSwWi8Vyu5MPYL+14bpx1cWSEMIFDgLnjDHvynohrJkqfLXXYbFYLLcTUmqiSGGMWUq0dhyB66YJ1xbLCqIQTlobrhvX4r+Y/wU4CvRm3/8O608VtlgsFssVoLWhVouYmwuZmFjkmWemOXx4mpOnFqksxrRaCcZoDIJ8zmN8vMiBA4O88Y07efjhcXbs6LX9jizrDw+xAFdZLAkhdgLvJO2B8BtZp85uU4UtFovFsgnCUHLq1AJ/9VfHeOyxSU6cqLCw0CKODVpLVo7JcrJNcOxYhccfv8gf/dGLeJ6gv9/nda8b4ad/+m7e8Y47GRws2jyk2418AHdZG64bVzuy9J+B/x3oyb4fovtU4RVkU4r/LcDu3buv8jItFovlxsQYQytMmG9E1BOJVIqZ2RbHXpjlm18/zcEnp5g630C22uLI4DgCx3EBD2M8jHFZGzYwaC2IY4fpafja1xb4xjeeYHj4IG972y5++Zfv5eGHt61pRGmMIY4VWqf2XvpaglzOtQLrZiYK4SVrw3XjqoklIcS7gGljzCEhxFvbu9c5dN0JwcaYT5G2P+ehhx66KlOELRaL5UbDGMNCNWRyrsa5+QYXFhrUZIIhbfj48osL/P23Jjlzqk6zHmFijcgb3IKDMWBiHx3lQTqkv15ltrURLP8qToWQEGCMQCmHqSn4sz97mS996Syve90oH/zg3bz61UNUKi3OnKlw/nydajVG6+Vfy44j6O3NsX17mV27+hgdLTE+XiKXs7lRNw2dPxaWNVzNn+Q3Av9KCPGjQECas/Sf6T5V2GKxWG5bpNScmany9KkZztQaaFdQLLiU+n16nYDqbMi3vn6Kv/+bMyzOxahEAhocMLjoyFkWSKIJOQMJXf4cbZPacsuRJxdQgEuzKXn87yd58slp9uwZ5PWvH+DAgTwDA3l27gxwOiamam2IIsXp01WOHp3HGEOh4PHQQ9u4//5RBgeLV+1zs2wR+QDutDZcN66aWDLGfBT4KEAWWfrfjDE/K4T4C9KpwV9g5VRhi8Viue2IY8XzL89yeGKGBZ1Q6skxPlrCzaI+SmpeODzFX/7Zi5w4ukgUStB6ebx7LCASWVQgZjk8IJZ/w2tArRc20Ku+tvOaVPrVOLRaLU6evEC1GnHx4jhvf3tAobDyWo4jKBQ8CoXlW0qrJfne987x3e+e5a67BnjLW3YzPt6D5QbF2nCX5HrESH+T9acKWywWy23FxZk6jz97lvMyZLA/z243QGRiZ3GxxbEjszz+jdMceWqauKVSkdS2SzRZJEmQhpBI/bS2iGofg0kfe4ARoAyrbbgUQyqSNMtRJgfwkBIuXpyl1Wpy/vw23va2Me6918P3u/s2hYLH7t19KKU5d67OZz7zDG95y24efngHvu/+0J+d5SpgbbiuXBOxZIx5HHg8e7zuVGGLxWK5XYhjxeHjUzw5MUWuP8fOvjIOAmMMLx2f43t/f4YXDs8wd6HJ4nyMURqMBs9Jh7BJB3QmdIRJJ6Aa0ueUJhVIIt2gnZSU3gx9saStVtJWYYblXKf29y5aeywstICzfPObigsXxnnkEZ++vkvfYV3XYWysRBRJ/u7vJjh6dJYf+7FXsG1b+Yf/IC1bRz6AO6wN1w2bfWexWCzXkIXFFn/z9CTnVYuRsSKBSH8NP3/kIt/67yeZOttEOBA2E2qLCUZn4sUVoNtCyU1FkkMmhMiiApm4aQsnk9lrxkkjTsakmwdokW5raO/rFE0623IsLCQYcwGlYmZnx3n962F42CGf98nl3DXVc23yeY877hhgdrbBH//xM/zkTx7grrsGt+QztWwBUQinrQ3XDSuWLBaL5RoxO9fga//4MrWCpgefuXMN5uZa/MNjE5w4Mkc+cCn25qjOhlycbKIky4JHijSaZAQ4mVXWDvy0BRWwNqM7E00KVgghR4DjZFbdeqVQnVEm3fHYY3HRoPQMUkoajTHuv19SLisgzV0aHS3R05PHddcKp+HhErVazOc//zzvfvcBDhwYvvIP1LJ12Gq4S2LFksVisVxllNIc/qfzfPHx48wKia4qtNJcPFfn6KFpwnpCoS+HcQVz002mJhpZRKl9AbEcCeqMJuksUrSm+WSncBJrn3cyOw/FyvyljuTwFV9hWTBpwKVWTcBIhFAcPjzAq17lMjDgoLVhYqKC6wpGR0sMD5dWVM4B9PTkcF3Bl770Iu95zz3ceaeNMF13cgHstTZcN6xYslgslqtEvR5z9Ogs33n8JZ58aRp3e45+3yffm+P483Mc+f5FcnmXoW0lEKASw/z5FkZl4kabVCAZSEUOHdGktnhhOWdpSczAylBBp7WmM9HlgHHTPO4l0aVZTvpebce1BZeincfUaknm56vk8x7/+I859u/X5POCwcEC+bzHhQt1FhZCdu3qo1hcOU6lWPQZHCzy6KNH+cAHXmXbC1xv4hAmrA3XDSuWLBaLZYupVkO++91Jnn12mjCUnG80GDhQpmzSX7lHDl7kuR9Mky/6eL5LHBrQhpkLTeKmXq7eN22h1FE9ZkwmlEhFEqujS50iZ3VUieXndPa8IsuHyl6P1aKpk/bzaR6TlJpaTeL7gpGRYWZnc+zdq5mbazI7CyMjJbTWnDgxy44dfQwPrxREPT05Go2Yb3zjFD/zM/etiUBZrjHrp5tZsGLJYrFYtgytDS+8MM03v3kKKTWjo0Ump2okJZeidKhXEo4cnubYoTn8vEPUhFAnaAxhI6E5n6QCSJpl14tMMDmsTNpGrGPBLa0k+3qpjpRtC85t96HsyGvqtOjEqn3tazqAJo4F09PzRFHI3FwZKYvs3Rvg+w7T03WKRZ+RkSJnzlTQWjM6urIKbmysxMmTixw+fJHXvGZ8w5+1ZYvJBbDH2nDdsGLJYrFYtoBqNeRv/uYUL7wwy+hoiXI5x/xCg1PVBomAqYs1Jk8v8vLz8zg5gTICpWSafqQNrZrMdEmnjcZytEevjhzBusncKyyzS4ml9nUkS4JJtHOZOq+3aj1LImp5v9aChYU6Yah45pmQxUWXvXt7GR4uE0WS8+frjI/3cO5cFc9zVlhuQgi2b+/hscde4o47+hkYKFxizZarRhzCpLXhumHFksVisfyQvPzyPF/60otIadi7tx/HEdRqMd89PMVFmRAuRDRbEWdfquL6DvlgZVPGRlNipE7ziGQ7T0mnOUWsjh61E7h1x75OcdRxrOOC42ciSIOW6bbesUuRqnZilGC5SSUrj1s6v9Pmk7RaDVqtiCTJ0WxG7NwZs2dPP2C4cKHG9u09nD1bpVjMEQTLt59CwUNrwdNPX+RHfmTfpT9sy9XBVsNdEiuWLBaL5Yfg2LFZHn30KP39AX19eYwxzM6GfP/JCxxv1BDK4LuCynyIijWF0spEZykNcV1m+UntvkiwnECyXvSo/XxHkjcdeUy5MhR6U6FkzMrO3lpDWIGoDipZeS6Q+nFLnhwrRZWTPbeO0FqKNiXU64aJiQaNRkwYSl7xiiGMMczPt+jry3PuXIV9+wZX5CiNjhZ5+umLvOlNu8jn7a3pmpMLYLe14bphfyItFovlCjl2bJa/+IvnGRoq0dOTI44VExMNXnxxjhcmZ/B2BpSFx8Jci8pURL6w8leuMRCGEhXrNMlakWkUk9lvG6EdAQK8AhT608dxsyNSRCqihJtGrwr9UByE5jw0F1kpfFYLsE6h1C1hPFvz0jGaKDLMzNRJEk0YSu6+e4gkUZTLOWq1mEolXGG5BYFHGEqOH5/j/vvHNvjeLVtGHMJZa8N1w+a+WywWyxXw8svzPPro0SWhFIaKo0crPP30RU5PLuCP5Sk5Llobps/XcYRYU+0llUaGmdAxZnlum+gOQxDxAAAgAElEQVRMqu5GZ6PITACVBsEkoOOsUs5JI0laQdKCuAZRDVo1CBtQHID+7aldt0Tb4mtfX7D2VrFayK3Oc0qH0cUxNBoRc3NNJiYWaTRiLlyok897TE83MGbl+xsYCPjBD86v2W+5Rogt2m5BbGTJYrFYNkmlEvKXf/ki/f3BklB64YUFXnxxhiiSeCUXSh4igUY9plVJVkSVjAFtDHGkkFFmgbVbBSxFlTYilDJKg+AFIFvLTycRKJkd1lnFZtIoguelNlxQgt5xqJzvqLTrtNncjn1ZSwEB+P6yhoolaIPra4RjQDgY7aBiaDQUuVyLnh6f3t6AVqvO2FgJIQTNZkKplFt6G729AWfOVGg0Esrl5f2Wa0AugF3WhuuGFUsWi8WyCbQ2PPbYKZTS9PXliWPFiy9WePHFGZJEUyz6VInwM60xc7GRpgw5Am0MWoHBoKRGSpVGk3Sn7db5eLVoWl3tBuRK4BfSyBFOKoCiFhhFWunWvg4dj12QEcgkjUQVs6hUfbbjdTpfvz2Q14Gcl645yZK/HcADtygoFRWOaA/gdVBSE9Wg3jQsLoaMjSk8z+XUqTnuvnuEhYVwhVhyHIExMDfXsmLpWpOEcM7acN2wNpzFYrFsguefn+aFF2YZH+9Ba8Pp03WOHZslSVLx1IgSKLk4EuJYUp+PcT0XKQ0q68wtEOljkzWDFB2ipKuNoVmuTmtvDhR60htd2gI8tddMAiSkUaEc4ANB9hVSEZVV1YWNNG8pXwY/T9cmlkKA76UiSSZZtZ5ObT6pUU1No5Ujjnxk5CEjB7RHoV+R75HUWukcvGLRo1KJaDZjarVozSs5jmB6urH5fxiL5SpiI0sWi8WyQSqVkG9+8ySjo+m8s9nZkJMnF6nXI4aG0mTlSGscz4MYqpUIGSv8zIITmRLSgDICI7OEaCGySFA7qrR61Mh6lWmAn0uFks4G68YNUpEE6a/3TuXVFkgFIM6+99LrxS1w62neU3IhO35VPyffB6mWu4e3aXcbjw2KhKjokDMSIRwcV6BiB+EYhB8xX1lkt+ojn3eZnW2Sy3lIqfG85b/bg8DjzJkKr33t9o39o1i2Bj+AndaG64YVSxaLxbJB/uEfJpBSUy6neUonTlS4cKFCf38eSAfmKgGOSC236mKENmJJJAEoXBIJGoOMI5bHlXTmK7XpEErCIPIG4RqESDWLcbwsyiNSW00nHee2c41WW3qSVDA1WRJQ2kmtu75hllsSdCKyOXWdSd9ZtMmY5UsnaXBLew5CpZaj6wu0Ai+vCFVIq5Xg+w5hKAlDSZKoFWKpUPCZm2tdwb+O5YciCeG8teG6YW04i8Vi2QC1WsRzz82wbVsZYwyTkw1On54nn/dw3VSYKGVQeUAaWs2EZj3BcdNIkMEhMR6JBCmTJfsqfVJ3DLNNj+4USsI3eH0aoww6BNUEE3sgJRCDkFnPpPZ5OZar2DrLlNpCKAK33UU7az2gVBo58lb2gQKyoburBVR2bmeuebZkI0C4BhyDSlKpKCMHvJjFah3HEQghaLUStF5p+7muQMr1Xsty1XG2aLsFsZEli8Vi2QAvvDCN1gbfd2k0JGfP1mg25ZL9BpAkClMQRA1JGElUZHA9D4WL1AKjFVobjNToJBMoS824V1tv2eYY/LIhrrE8w02QChjhptfQcce5nW0H2t2+O8l8M0VaESezhGyjIJHg5IBVuUQr8syza64XgFpxgkgDT6SRJeEKEIq56iLDg704DrRaktVdAoQQKLXuRS1Xk1wA260N1w0rliwWi+UySKl56qkLDA4GAMzPh0xN1SgUVo4tkdqgHEhCiUCgE43I+2gpMMg0gBRLVBinY00MqZW1bqeANGTjlUyav53lcy/3i9TgZCNS1FI3S1I1dSkl0yGmHGflbi3Bad8WOqrgtMk6gG9g5pwQiM7XbgelMntSKs3sbBPfL+M4Tprb3oFSGt+/RcMTNzJJCBesDdcN+xNpsVgsl2FiYpHFxZCenjxJojl7tk6zGVMsrixvV9oQhgmuKzBGo7VAaxeDRGtQzRjZSoVUqlnaJfmdV1mpHlw/K25bcUhbYHUmha8XQVpP1GTKpZ0rJVg+zphVDSoz2qKu85rrXdoFJydwOsWSEUunO36aJ+55DrVaTK0Wr8hXglSY5vPrrMFy9bFNKbtiI0sWi8VyGU6cmCfIht9WKjHT0008b+0NPYolxgfHcZBKo42DY1QaUWrGSKkQS6EU0+5OmX3fFg0dQsMV6NWqZEUopp3pvXqobQLkWW5GubrPUhZ5crLoVvsuJxyQ4ap3lZ1rDHjZoN9ukSVP4InOJHAw2iwFsBwXHFyEEASBR6sVMz/fZNu2nqXPpdlMeOUrB9e/vuXq4Qcwfm1sOCHE3cAXO3bdAXwM+Fy2fy9wGvgpY8yCSH84/h/gR0krE37BGPN0dq33A/9Hdp3/YIz57NVYsxVLFovFchnOnKkuNUlcWEhv8L29K6NKxkDYkji9DmiItY82GmEEKpbIRC8JAmM0JJ1CqTNPqSPSog2ivXv1X+xrRoK4pNVt7ciRJv0V39m9uzPalGTXVCCC9BwnB3JxnU/AgNJZWMjNEtP1sj7LnD83J3BZDoOlOeEG4YLnG4wSCJNWDmptGBkpc/58Oj9ueLiEMYZKJaS3N0+9HlMoeLiuNUCuCUkIF6+NDWeMOQb8TwBCCBc4B/wV8BHgb40xnxRCfCT7/jeBdwD7s+1h4L8ADwshBoHfBh4i/Uk8JIT4ijFmYavXbMWSxWKxXIIokszNNZeaUC4shGit19zEk0ShpMYRDtoIYp0KEyU1KlJL496MNhC3hVJnlGYpGYnlaA7LgaClPpLt47I8JdeDpB2NaqsXQ5qkHbDWjssyynMG4nbGOOl1HAEyXnVs55uUqVjKe2melGcQrofwQCQS1yTp+0NkgTOB6wpcH4IeA0kAjkejERPHknzeZ3q6yeTkIqOjZXp68kxN1Tl9epH5+TTC1dOTY3CwwOBgQKmUs529rybXR5f+CHDKGDMhhPhx4K3Z/s8Cj5OKpR8HPmfSoYE/EEL0CyHGs2MfM8bMAwghHgP+JfD5rV6kFUsWi8VyCRYWWkipcV1BGCqaTblmIC6kuTaOEBhtiLWHlgqEQMcSYzSCdJQHSdbYcXVzxxXho+VwkmqBkzPLLY5W3NCyqJArQWZjTJDZ5gJh+lW4K0v/8yZrMAkIL0309ksQL3asYx3xBul5UgECL1Dkiwodg3EEoiP/SGT/5ziaXEFjlANxgcTVgKTVgvvuCwgCn1LJo9FI6O8P6OsL2LOnH89zMMYQRYrz52tMTCxiTDps9447BhgaKtio01biB7Bty2y4YSHEwY7vP2WM+VSXY9/DsrgZM8ZcADDGXBBCjGb7dwBnOs45m+3rtn/LsWLJYrHc9LSjP+fO1Wi1JHGsMMbg+w65nMu2bWXGxsoUi35HztDGmJ1tLqUJxbGm0YjXvUYUKfI5lzDSJJ6LMRLHc5DN9HjRjiop3WG/wdp8IugUKqol8HpB+6SpSO3xKAJIEhBR2gKAdhsASMWSYklZmY6kbjRE7dI6D4QPbi6trGvV11mHWbVveb2yLnABP9AoXFx3+WmTvUSumIov0SwRBDlyOQ8hBOVyjkolIpdLrTbX1bz00gJveMPOpaTvdm5TECzfqprNhEOHLuD7Lvv29bNjR8+K5y1XiAxhastsuFljzEOXO0gIkQP+FfDRyx26zr71zOn2/i3H/oRZLJabjjBMeP75GY4dm+WFF2aZnKywuNik2VS0WglSmrSfkTE4TmoF9fUF7N7dwytfOcyDD47z6ldvY2CgeNnXqlQiXDf9nRxFimYzXre0PY4Vvu/ihBrVkwoTx3NTYeR2RJUQHVba6iq21cIkvR/IKoiCwQlIB/GqtIs3HhgScMvpE74PSoJusZy/tF4LAScTSVlUKQigMctyFEksH7eU89ROTlpJVHeRkYtf1Hg5mb4DDcZ10MYjbniUcgF9fWWUMjiOg+87jI/3EIaKej2mtzdPPu8yNVVjZOTS/ybFok+x6COl5uTJeV56aZ777x9lbKy8aSFsWcW1//jeATxtjJnKvp8SQoxnUaVxYDrbfxbY1XHeTuB8tv+tq/Y/fjUWasWSxWK5KTDGMD3d4Hvfm+Sxx04xOVmlUglRymRdoMVSN2jHYckqMwakNExNNbhwoc4PfnAeOEJvb463vGUPP/Mz93PgwEhXSydJlivYlDIoxRobLnXVDPm8Aw2BbFfke9mYEDeTQSZb0Ib/+G33S3IwrayTkm+W3hchgAKnCsVBwE2jS8qFpMnK5O6OhpWOB66bfs2XoTmXdQBvfwbrNbZc6p7JakGlElAVQVRzEE4aEcJxcSmybSwdYSJlJiYdwdhYGc9zEEKwsBBSKPhEkWLbth7m55uEobxstMjzHIaHi8Sx4umnLzI+3sOBA8M2ynSleAGMXfOmlD/DyvyirwDvBz6Zff1yx/4PCSG+QJrgXckE1beA/0sIMZAd93YuH6W6IuxPlcViueE5eXKOL3/5RQ4ePM/cXIswVMSxQimN67p4XkfH6EyVGANCpE0P288rlUabtDY0mwlf+tKLfOUrx7n//jHe+977eMc79q8RTUqZjiq29PxuEQwhBJ4QmCwfyfW9LJBkyNpZX+av9zVJSSwNu22zVGzWcSEtobWQCqZcLktZyqXz4kzm3Wmd1e676XN+kK6pOZsldXcTSu0k8M65Jp3RqmURZrSL0S75fB7XzdPb61MoRCRJKpSCwKe3N6BYTEequG4a9ZubawCChx/ejuM4zMw02LWr71If1BK5nMvYWJn5+Sbf/e4EDzwwxthYeUPnWjqQIcxcu6aUQogi8Dbggx27Pwn8uRDi3wCTwE9m+/+atG3ASdLWAf8awBgzL4T4P4F/zI77RDvZe6uxYslisdywhGHC1752gkcffY7p6SZRZEgSiRDpjVYpqNcjms10KGsUSbQ2SxEmIVLB5HkOhYJHqeRTLvsUCj79/QVKJU2SKJ55ZorDhy/whS88x8c//lbuumtoaQ1pg8n29ZZFUzd84aBjDQ54vg+uWBHU6T4iBLpHnDobQq626jKUhNo05IuQ700r27TfMTOuI6IEENYhqnXkM2XXdJyO5PO2YFo9AG490oQlITxyuTyu20sQ1IgiSamUo1j0CYIcAwOFFZG5fN5lZqbJ7t29jI/3AIbz52ts396zqQTu/v4Ccaw4dOgC9903yu7dGxNblg6uoQ1njGkCQ6v2zZFWx60+1gD/rst1PgN85mqssRMrliwWyw3JiRNzfOYzh3nmmQu0WpJaTeJ5qf1Sr8fMzbVoNpMsUpRGlJRSaZ/H7PtU06RjQBYXo9R5cgTFosfgYIHh4SLFokeh4NFqSZ566jw/9VOP8qEPvZaf//kH8Tx3qSoLliMhUq4UDG3bT2so5hzcGqgegRs5OHkX3VJpNdzSzWi9jttt2snX67FeMnj7cSZwoka6ebk0guTl02aTmNSaa8VZJKktiJyV19Gd4a+2SFpPoK3XTNPHmCLNpkupFBIEmv7+nsxyc7IKtpV35CRJ2zCMjBTTcXfCQSnDwkKL4eFSl89hfXI5l6GhIs8+O41Shn37+jd1/m1NW49b1sWKJYvFckOhteGrXz3GF75whJmZVBAlSVrZNjvbpFKJiCIJGJQyJIlBSpM2eiTt7dONtsgJQ8n8fMz58zUGBgqMj5eziFMPCwsh/+k/fY+//duX+Z3f+Rf09gZLRWa5nEOxmGNuLl5z7VzOQUqN5zkE2iE0IBwHP8gThc1UcHkuqM7cn9XtArqJqMsVA60TupJxasNF9S7XhDVCac0g3tUdMTvX15kE7nYc10CpHqRq4jguQqQiprc3WCOUjDFUqxF33z2E6wqaTUmp5FMoeJw/X9u0WIJUTI+MFHnhhRk8z2HXrt5NX+O2xAtgxA7S7YYVSxaL5YZBSs2f//mzfPGLz1OtJtnssHT/mTNVwjBN2IljRZKA1pp2OlD75p2O1ugumNKIUypYGg1No1FndrbJjh09bN/ey+BggWLR58knz/HzP//f+djH3kxbIOTzLqWSz8zM2uvmci5RpPA86M07LNYMTkHgFXNE9TBtHOk6mS232upi1eN2dGm993Gp6I5Z9bibddYhkpZst3a1W/txZ2Xc6gTvTmTHue01K5Ik5OJFweBgif7+YE2eV9qtO2J4uMj4eJkwlMzONimV+ggCj4WFVCi385s2g+umyd9HjkwRBC4jI5sXXbcdMoRZO0i3GzboZrFYbgiU0vy3//YMn//88ywuRlSrEZ4nmJtrcfp0hTBMiGNNraaIojS5G8isG4HjpFu7p9H6m8haCTg4jpPlzhjCUHLq1CLPPHORWi2iUPDYubOXs2erfPSjf8f0dB2lDLmcQ6nks16kxvPcpY4ApUCSi32ED7lSHq/gsZR97rtpPpHTmVC9mk6hs95Q2bYoWW2XrbbmsqiPyDac7KvIrLlO0eZ0nL46gbszZ4l0/SuiRFk3cQRQAOooFREnDtPTDeJ4pchKhVLaMuDAgWEcBwoFj8XFsMPiFLRaqycIbxzPc+jvDzhyZJo4Vld8ndsKsUXbLYiNLFksluuO1oa//MsXePTRo1SrEY1GgucJJierNJsx6Y1TkSTtSFJbGK29Vrsark33yjUAsZTArbWmWo145pkZ7rqrj23byuzY0cu5c1W+/vUT9PXlufvuEfr68hgjskq85b83c7m0Kk8pg+9q+oIc09UYr8cjaJVoxFVMS6UiI++lPZdUJqDalXIaVuYsXcr+Ws8u65Jb1JmQ3n689DllosqhI8LUcW5bODkCegow2Au57NYhJczVoNZKx5/QIr2tRBgNcRQxX3FYXGwtVahpnUaU+vvz3HPPCL4vSBKNUpowlCwuhhSLHo4jqNVihoYu3wurG0GQjlY5fnyO++4bvfwJtzNeAMPWhuuGFUsWi+W68/3vn+Hzn392SSi5biqU0gaTmlbLoLXKRNJKAZSW87ettcyGcjqC5tqASaMe7cjTaoQQuK6LUookkbz44iKtlmTv3n527Ojl2LEZvvjFF/jQh17HwECegYECtVo68HX5GlAq5bImli7DZUVttkhYaJDvKyAjSZjUQZq0/1LOS9e2NHbEZILF6XDPVo0aWfdP907RBCujQBvMgRJ0iLbOKFD22Pdg5zDkXAgTaKRz23AEjPbDUC+cnYFIAukg3jThXhM2NTMzTYaGiihlqNdjhoeL7NzZw+xs2lNJSoMQhlZLIqWmXM6TJIrJyQpSaoaHi/T25tcdM3M5BgcLTExUGBsrWTvuUqgQ5q0N1w1rw1ksluvKzEyDz372n6hWI2q1BM9zmZysdQgljdY6s9fEivJ9pdLnjBBp9+pCAKU8FH0IclDwoZiDQgHyOTRO1lhy/fp913VxHAdjFKdP1zh1agEhYOfOPmZmGnz1qycoFtMcmCRZa+0EgY/jZNElR7GtD0TFwy05FIfK5AeLqauWZBLHFYicB4EHgZ9ueQ88h6WRJrRHmHTMElmXtmhyO7ZOu261T9KRzC1IBeZ6QskVqVASQCNKx7UsHWKgGaVfd42k616xHk2SJNQbiqmpOq1Wwvh4mSBwmZ1tEkWSXM6lXPaXhuQ6jkNvb47BwQApNfPzLZ5/foZDhy5w/nwNKS/Ze2HtpyIE/f0Bzz47ve6/maUDa8N1xUaWLBbLdUMpzX/9r89w9myFajUhn3c5c6ZGqxV3CKV0tMdyR+52HyUDwoO8myZOG9KbdhchhCvA89NqtFihlFpx3TZp9MpFa8WZM3U8z2HPnn7K5TxHjlzkla8cZOfOPiYmfFqthEJhOQHZcaC/P2B+voXjuPTkEkYLeabrIV7JpST6cH2P5sUKRpqlwbMrTLOlBHCV5U07y+X8SwVzG+0AzrLFt4LsQsJJo0OrrMsVEalyIY0oNaLur5FI8PPQW4T59nw5k/5TJJJ6PQJKDA8XyeUc8nlv3SiR77uZ7VrKon0C33fp6UkjTadPVzh3rsb+/YP09weXfNtxrGg0YqJIobVmbq7F4cMX2LOnH993KRZ98nnXjkhp4wUwZG24blixZLFYrhtPPHGWxx8/Ta2WIETaC6lWC0lzlLoJpcya8nLpTdyQCqQl62odISFEKpJEZjUVPIgERqa5Mqvzn9LXTAXT5GSdUslnbKzIxESFb3/7Jd773gcYGyszMbG4QixBWjFXLKZCKp93GSnFyLrPgpG4BUHJKePkPZrnK+hYre+qeZmIkQp0lkxtFGg3e39iA6IpjewsPWzTPqctlCANQElYt3puqDe13i5HK4LBHlior7yMA46bJr/39ubXtA/oXJYQrOlh1e5x5fsuAwMuUSR59tkZduwos2dPH66btmyoVCLOnaswOVnh1EsVLlys02hKWpFCaVDSIAwMjJTo6y+yc0eZvbt7OHD3IAfuHmBkuLBu1d5tg7Q23KWwYslisVwX6vWYP/3Tf6JajWm1ElzXYXq6jhCCel2uEUrpYNws+dn3Ie+k+T/t7pOGZRtpVX5zus/pSO8xELgQC4izSSCOXnGjTF/bQSnJyZMLPPDAKOVyntnZFv/jf0zwqlftZmqqTqMRUyrlVry3np48UmriWJPLOYyXFW5TsFjykWiKIsDf51KfqqOacWrHCSeN94hUHBltMLFChzKNLGnAUaCz8SeXjS6ter7z+M6I0pJQ6qTDgvNdiNccsP7LuW66SbX0GYrsf86qVDJI/02rdcVCVVGtS5TUxIlkvuUzOpQn78qlbuxt8nmPXM7l4sUGCwstpNQ8/fQFjp1YYLGaEMbpsF7Pd3GEwM0aiwZ5kInB8x0a9ZBn/qnOoUMX0VoTBD537h/hn71hnLf+s+3s3lkml1uvCvEW5zbViRvBiiWLxXJdeOqps5w5U6VajQkCj8nJNB8lbQvQTuZeLZSyfJ68A1IvCyRtsrwbsaraK0PQkY+T5fFIDbnMvksUWjvrCKb0cRhKJiYqDA+XCEPJ8ePzPPjgOHv3DvDii9MEgbeiMi614wosLraIIkUu5zJaNPitmEqvjwwKOA0Pd4dHa7FBtBCmy885S001HdfBBKldpZpRFmFxwJVphAkXUOtYaO03rDvSkzoSvoVYjigJOoRS5zXaM+F+ONov67grhUeSGKbnIi7ORIShJIkUbYGWSMUFI5i+6OAIwWLD5cF7B9g+lsN1nayaLs1jOnjwAovVGC18NAKjFEksSRJJFEqUUktDlt3srft5j8GhEgNDRQYGSxSLPlEoOfniRY4+d4Evfe0Ur33NNt7+z3fx4L0DlMsrhfAtixfAoLXhumHFksViueYopfnWt07RbKb2TrMpl+y3tCfPykTuJaHkiDRHqS2UdBZhaafYKJ3m+qyHk/U3aosmN7tO3snOM5lgMissuXaV3OxsxMBAQBB4NJsRR4/O8qY37WFhIWR6usbgYGHFy7kuWdVcRLOZ4PsOA4GLV4+ol2PMUB4VFimXi7QGI6oXFpAtiXDAuNkIFVRaKCdcdKhRiU7zmRyVRdPaTSTp0DqGJaHTtuwgi6yJDnEpslPbb7Y9A679vUqtS6WzOXMbyJPSOmshkNHWZq7B91PBVK8nnD7bYrEmUUqiYk3YVIQtg1RpBC2JI0plB88XXJxqUG8a7tiZ5659BY4dm+PQoQucPd8kjCGKJUo2UYlCSYVScv0CwDY1WJir4wiB4zoEBZ9t2/u4466RtNfTQoNvfP1Fvv+Ds7z29bv52Z/Yx4H9/VdUiXdToUJYtDZcN6xYslgs15zjx2c5cWKWZlMSBB5nzlSBVDRpzVITSSCLDGSRibybCSTSm347dJFswCbSWYm+46TCQak0eVqZ9Lotmb2ewHVX3m3bdtz58w3uuKOPZjPm5Mk53vzmXdx11wDVaotqNVrRSoDspfr68uTzLpVKhNaGsu/hNRX1JMQvCzzj0BuI/5+9Nw+S5DzPO3/fl2edXdXn3Jh7BsAAAiiQBCEeoi7TIikSliiH95Dkle2wreUqHF7FarUbsqy1bG+EHQppvaZXq4O0SOsitRYli5IhwhRJGTcIgDPADDD31T19d9eVlde3f3yZ1dnVVT0DcmYwPcgnpmK6svKqzMr8nnze931eJuojNJcDVmZbeE2fKI6JjSSMJEwiI0Z4EZEfo6KsTUCiMolUaYONXkzp7Cr5/iR8KusSnh7nPrI534CJEZ2TtBlce32+EmBIAyEFjiUol20WFrpcnfVoe4rA81lahOaqTeBbIEUvmtrsCCQKx/WIwi6mIXnp1Rb/+T/P0Fjt0ulKun5E5AeEfkAUZ34LNwIFsdJ2FM0g4vSqx/nTc4yOlzh87xQ7d1ZZWW7zl0+c4vz5VT724X384Ae3U6nc5SrTXc4Hvx3kZClHjhy3HV/+8lmWl7uEYYxhCBqNgDhWhGG8IU+pN+DL5BVluuRqM5/1K08r5kGPvP08Ko6BWEs/UZosnrQhSUhIFOmPU6QqV6sV4nkR1arD/HyL116b57HHdtNqTfDqq3M0Gl0qFYd+uK6JZZl0u7qFixFLKh1FqxvSrSosR2IGgtqoRa1eo930WZpv01j0CbxQUxopkI5ACUnsx6g41lwpVhlvJgEyIUSGoUkhyTwiUeCC9Hteb2S0AR8abRiv6L524RDVzkxMLZdbmYkSKcG2bFzHIAxj5ha7dHxBYyVkdrqA50liFRLFHgRB72RFwkLaNlHb5uzrgiuX51BqRYdoY1BxRByGqGGVj28KOlk+imJmZxrMzTYYm6zwjkf2UCwanD91lV+fXuHlEwv82CcOcPTgyE3Y5h0Iw4VaHoYbhpws5ciR47ai0wl44YVput0QxzFYXOwQxxG+H6OUylS+sRZ+A7DkelUpUutDbg5aKQqEriBLy+MtwFDg9Q30KSOKkoo024BOQErOlFofjgNBFIXMzdxtGpoAACAASURBVLU5cmSU5WWPEyfmeNe7dnLffTXiWHHy5PxAhQn0popFi0LBSnrbRbhdg9WlgKYVoEoSw5CYERTLNpWag5TQ7YTMzXXoNH2UrwjtmDiICDyFiiJ9SOI4SfxG/5+G21S81ucWCZ2sWWUWqVN3yjJN9IEDohAuzcHuSZ3s7fnrw1yuVoW4OL+OTGmyKXAdieMYxDF0Y4OV+YCZ6RK+30GJLlHgo52/04o7BUoSdy1iHAIjwuuE+ksYAUQ+m8fZ3ixU8k8gkvY38zMN/sufn+TIA9vYt3+CxqrHf/3KWebmPH7yvz/Cow+P3cTt3yGIPFjJw3DDkJOlHDly3FbMzbVYWOjQbodUKg6rq7qdSRCoRMFZy1Va3/A1k7wdZ4iSBFwJgUwcpPsQocdhx9RKUtbUMIrANPW6DJMsiegPxxmGJIoimk2fTidkfLzE/HyLy5dXuffecY4dqyOl4NSpORYXO4yMuAPL5IXQ9gKOY1Au24wq3Si4FYU04oCgBKZjYCqBjMG2TUoVh2bLp9XUCpwhBQpoNXyCdgi+QJohoVJ0OyG+Z6BiizhUWqzxVZJztD7r3TSTZHJpYVkFlCrRDXzisJUcfwPwoRvD+WswUtT2ACmLVEqH3pZbG1QnIQSWbVMsmTiOgeXYrM4r5maLBOEqMTGx3wXa6GR0S9tBKKXL2OnoV5SGChOCfFOJUhYKFevfnDQkQRBx/MUrXLu8yne+Zy9BEHHm1cv8P78ZE/7YUd77zvFbtB9vIXKb6qHIyVKOHDluKy5eXKHT8RFCEscQBDFhGGVcuvV8a4M1pO3LiNDEJg29CcAW0EUrID2YrHe8jqAb6Umm7CNMcRKuUms5zqT7wAZ1KQxhYaHDxEQR0zR4/fUF9u6tUSiY3H9/nWLR5PTpZa5dW6VYNCkWN89z0ebjkpplU40tulHEaiOgY0bEhg4RGYakNGJTKtt4XsTKsofXCSkWbSo7yrhV6HghzWWf5oqHUAZuoIiagtZqROyYRJFJHMuEbxoYhsS2HcbGKuzdO8b27TZnz05z5nyXxnIbP/AJ/DThW2kytNCAxUYS4hO6N9wG7iIxDK3SlKsWxYLB2FiR1bZg5ookDDvEUUQcRkAStrN037geAbZcTfKUh/4jW52XMcy8JYiJI5CGCcTMzTb4+pOv8+h7D2Kaggunp/mNz4Jt3ce7Hhq9hftxm2G4MJKH4YYhJ0s5cuS4rThzZpFORxtBdrsBYRj1jAizFXDrQkXZJ95snoortFdSb5qBvq2lYSVYY1qmVilkmqicVpElFWZxvIEsxfH63CW9bzHNps/27WWCIGT37jJXr64yNVWmXLY5cmSEsTGXU6dcLlxYYnGxQ7Fo4brXv91KKShIk4JlEkUxYazwien6MR4RnTjCj2KKVYeJqRJOSSAdUN2YopJUi5KDh7fTWfExTUm3G7Gw0Kbd1vYFUkK5XGBiosiOHTX27CnjOCaGoZASLl0a5U/+0xJnzxVorAQIIfG7feFLxfDcJcAwtOVDqeRQq5iMjhYoFi3OnxYEviAMUxuErl6ZUYA40C+SKr/e+UzPY/ZcGgwwhrrpiKMQhIE0DJqNLn/11dd5z/sOYkjBpTMz/L+fM6lVH+Dw/ruk31zswWoehhuGnCzlyJHjtkEpxcmTCwRBjGnKxC5gY462htj4VqkkQTt5H2eJkolmO2n4LlWWYhJJSn8WF8DwIcpUd0UJK9ogWPSrGDqXyfdDhBBEEYSh4CMfOcQTT5yj2ewyNVVmctKlUhlnfNzl8uVVrl1rsbDQxrYNikV7qIt1FoYhNfWLJHR9hA8jtsPkZJkdO8rs31+hWNS38OnpJo1Gl3e/eydjY0VefnmGTifAdS3CUDek3bmzSqVi4zj9t/2177dzZ5XH3rODILjMZWB1tanNzyNFGGQJ6HpIKZFSECuFNDRRmpwoMDlZolKxiRWsLFgIWsSRIlYZR3AVQtxNjrWZnKssGUr3L1u518dq10FkXv0Y/h0GQkXEsSZMnVbA018/y3d98BCRHzJ3aYFPf/4MP/c/3k+5eJcYWObVcENxy8iSEMIFvopOuzSBzyul/okQ4tPAB4CVZNafUEq9dKv2I0eOHHcOdGPUNmEYUypZdDpRrzu99lbS86l15e8Jsg7dAC5aVQLWwm4KXcWVqhFZ4kQyLYCowLpBWcWZeaLM3+shEwEqCBSepwnT7GyTHTuq/N2/+w6+9KU3OHt2me3bKxQKJkeOjLBrV4m5OY8rV1rMzjZZXu4ghEpMNyW2LXsNgrWnlML3kwbBSqGUYGTEZe/eCjt3lpiYcCmVtFllpxNy9WqD/ftr/ORPPszYWBGAgwdHef75q0xOllBKJaFANYAobfx+x45NAfDsc9NcuCxZXuzge11QsfZ7StvNpMsYUlMTAaa0GKm5jNZM9uypUShYxLGi3ZIEoSKOQ5K6fXrENg7Rw0TqkJke//Rv1ubtYdCofiOEJVWmUuXyBow3E8IkhKTd7PL8fz3Dd73vIMsLDc68eo0vPjHGf/OxnTew7TschgvVPAw3DLdSWeoC36OUagohLODrQogvJZ/9jFLq87dw2zly5LgDEceKbldXghmG3bMLAEXWOVv1e+aozKsHmZGk0tCbxUZVImJNtUgH5BCEC6q5ftYBXj2D8paU0u1aikUT349ZWfE4enSCv/W3HuAb35jhL/7iLIYhmJwsU6lYVCoWO3cWWV4eYXGxy/Kyj+eFNBpdWi0fpVTPRgEk9bpLuWxTLFqMjNjU6w71uo3jaEIQRYqZmQZBEPPhDx/i4Ye3rXMQHx0tYNu6XN80Jbt2VTl1auG6ZAm0wHbs2BS1mssLL0xz7kKDufkOq8tdwigkTq0bICF5Etu1KBZMTFMwOeFyzz01xseLXL3awLIMPE8fs1iBEun5IHNuBDoLP2CN5GZVpM2sDvpJ0mb5TKLv/yyJ3mQ5FaGEztNaWe7w+sk59h8eZ2VhlSe+fJ6Hj9W498AWD8dFHjTzMNww3DKypPTdLr0TWcnrVmbl5ciR4w6HUhAEWk2Scq08X6n+vmF9A2OcLJx1kVbZwTTNS8oukA23pAnCVvJ/BBRZu0Wli2wM0WwkS3qa78eUSvo7BIFezjAkjzyyg337ajz55FlOnVpESsHERJFCwWJqqsDUVIEoUvh+RLcb43lR0s4lVZsErmvgOBLbNtaF7DqdgLm5NnGsOHJklA9+cB/j4xsHacOQ7NtX5/TpBcbGioyOFqhUbFqtgFLJ2jD/xuXhnntGGB8vcfr0Aq+9Nse585qcdX3VOw2WBMeRFAoGliUply327KnhuiZxrIgicBzodgWWEeMBEkXcO1/ZzP2ItSEiZcZZopRVg9JzbfTNT+Z9P7Ih1awRZ1pIcJ0QnYpAGMRRxLkzc2zfpZv4Ls8u89kvnOV/+5/up+hu8XKyPAw3FLc0Z0kIYQAvAAeB/1sp9YwQ4h8AvySE+Hngy8DPKqU2WMMKIf4e8PcA9uzZcyt3M0eOHLcJa87ca4PWBhVpIOKktccgyMz/8dr8/csDOtyTQIG+BaahuBsvSxeCHsGRkkQdW8PYWJFPfOIYS0sdvvnNGZ5/foaZmRalkkWpZOO6JoWCSaEwZAMJokjRbgc0m37SsNfiu75rFw88sG1De5V+7NhR4fTpRYIgwrIMDh4c5RvfmEn62N3YqFgqmXzHd0yxb1+N556bJo5jlpc9uknSt2UZ1GouIyMOUaSSPKnBw4ppgCEEoYT1fk4GOhARspZjlvV8yqI/0XsQSUoJWJZIhUPmS19ZhQuG/g6UJmpBEPHyNy7x3vcdYHWlzdnTc7z46grvfUd98HJbAYYLlTwMNwy3lCwppSLgISFEDfj/hBDHgP8VmEEnFvwa8L8Avzhg2V9LPueRRx7JFakcOe4CSCkwzbVE3f4u9ClStSkzRVdg9fd37YkFwwb//sEvk28jVEad4obzfrMqU2qiKfqlpwT1eoH3v38fjz66h9OnF3j99QUuX26wsNAmihSGoVWgdB1KqUSRiRPPTEG16rB/f43Dh8c4cGD0hkJpoF3D779/gpdfnmFqqkyxaLFvX42zZ5cZG3Nv7MsmqFQcJid109k0bwvWn7+lJa/X6y89Tul5tG2FEAbSEElT3ayik4ZOQ9aIUkp4MtYFvXOYTdzPKlEpgXLQwwushWQV4LNmfJlOy5KmdFrW/n0Q9Lyryx0uXVxibLJC7HV58qszPPZQfehv+o5H7EErD8MNw22phlNKLQshvgJ8SCn1r5LJXSHEbwH/8+3Yhxw5crz1MAxJsWj3kpdt+01UEYWxdtlO2VIQa0PJANYGz2xOSr/qkM0EMPqUJDkwX2kYUm4kBJimDkFtBts2uO++Se67bxKltAKzsNBhdrbF6qpu+5LmF5mmpFrV5CQtux9Gxq6HHTsqTE83WV72qNVctm0rs7jYYXXVp1q98T5nQmj38TBcsyDoh2UZSXuadBmBbRtEkaJQUAghcWxJFFv4XgelLDSp0cE5fX4C1vrVDAqrpURpkAoogAr69+GxPs9JsFZr1OlbLhuaS39HaYPiQb8JrULFkeLMG/NMbKvQWOlw5sw85y57HNjz5ohojq2BW1kNNwEECVEqAN8H/J9CiO1KqWmhr/6PA8dv1T7kyJHjzoKUgv3763z5y+eJYz0Ab5SLhihLqF7vNkD/bcL6QS07yA4yqczKR9kBV7A+xLN+X1LEseolUguhSVC5bOG6188DWlufoFi0KRZtdu++tX3GhBDcf/8EX/vaxV447siRcU6cmKPRCKhUbny/y2WL2dlgKMG17Y0MynUNmk2fUknqdi8FA983MC1J4IMuaWyjVZ/U+iFNwh9EhrIhM/rmcdFEKPtbyp7fpGVKj5T1I6sypRV5m1XLCTodnyuXGzonrNnhvzw1x4E9uzdZ5g6GdKGch+GG4VYqS9uBzyR5SxL4faXUnwghnkyIlABeAv7+LdyHHDly3GG4995xTFMShhHFooVppiGorGIzREmJQtbFgcIwafAKa3kuNmuuzyT/pyGdkDXilCYVw+Dk38FIXcZNU+C6FtWqy9jYdZKP3kIUChbHjk3yjW9MMzlZwrIk9947zmuvzb0phalYtNYpR/0wTaMXSkzPX6FgsrLSxXEUExMR1645WGaAW7BRsU8YZpO8sz3fsucgqyqlRKlfWUqJcARCgogzxQD9SeObqZnZpPJ03kGESROrKIyZu7aCW7BZXWry4jemaXx0F5XiFsyUjj1o52G4YbiV1XCvAA8PmP49t2qbOXLkuPOxf/8ohYKB50WUSha2bSJESBwP9zfSSAagbMVaWuAmIlCpYpCGUezMTFmiBHpAbG++nfRdvzemSAwjDYNq1aFW02X+dzJ27KjQ6QScPDnP5GQJxzG4//5JTp2aZ3HRY2TEuW7Sd7FoYRgiybXaOK+UUCpZeF7YS/K2bSOxMFBMTkbMzJg4joVlSSxDsLi4wvqwF6wnQlln9s2q3SSIjGfWOlkyS4T7idcgpOHcdL/6jUnXr7e50sFxJLPXWpTrDWYWulSKWzAU119QmmMdcgfvHDly3Fbs3FlldLTA7GwbwxCUyyZLS3rwzapLUiriODsoDxnMgwhk4rGkbNYIUzbUkrQ76fktdTOfm6wPzw1SNegpJrqXm4FpShzHYNeuSpK0fmdj//46URRz+vQiExOpwjTB9HSTCxeWcV2z5wg+CIahLRCuXWsPDd/VatqxPIUQglrN5erVBoYRcuSI5Ny5CobRwfNCDAOiKKvwpegPkWbDb9mk78z8Krts//9Z+4FsuPV6eWopYRrUXkXvRxgqOh0f07SYn29y6vQqh3ZvQbIkXSjmYbhhyMnSdRDHunS32w2TTgvaFyat6ikUrDeXpJojx9sc5bLNgQOjXLiwihCC0dECMzOtxF9yLSl3cCRuiCIQx+imrGWQpcQVOkySn9LBNg3HeaypSllTQuh/tM4mMut8JZ3cbNsSy4JCQX+XrQAhBIcOjWEYkpMn5xkfLyaGlRXqdZc33lhkcdGjXB5+T6vVXGZmmgO9p0CH3SxL9pLVw1BX9mm7BINazcE0BW+84SJlB6WyVW/9JCjbuib9XcSZ+dMvxgDO068s9U9L3w8jTP1EazjCKGJ1pcvYuAlxxF89O8OHv3viW07Kf8sQe9DJw3DDkJOlPqyseLz66hynTs1z6tQCKyseYRijFFiWSbFoMDVVZseOCtWq0yNMY2MFRkcLVKsOlYpz/Q3lyPE2hZSCj3/8KH/xF+fw/ZhKxaZc1uGbOI4xMp1rByd6bzbANSBOQ3BuZmGBVpO6rG+hkSb+pvOsJ0tr7VdUsu96PsuSTEyUGB112b27+uYPwlsEIQQHDoziuibf/OYsti0ZGXEplSweeGCS+fk2ly+v0mx6OI6RVOKtLe84mvC0WiGFwsbhQwgYHXW5eLGB42j1bXKyxN69NtPTDTwvZMcO7Ut1/LiLlEZGPex36u5Pvh+kKNEn/AzyUkrXkbUEiAfMv+HbZD7fJGynYGWxxfhEGcuA02eWuXipyT17Kpus+w7FFuN3txNve7IUx4qTJ+f5sz87zfPPX+XixRU8LyIIQpTSSaep9wmAUjGGIXEck0rFYteuCvv2jXHs2AS1mkscK2o1l/3764yPF9e1IMiRI4fGe9+7h507yywsdJicLDE5WWJ5OSAMww2huCjqv4Nfr+t8hK6K6jBcVUhzUbLrWb8dKdeWieO0Wax2rC4WLaamSuzZM8KePbe2ou1WYOfOKvV6gRMnZpmdbTE6WsA0JVNTJSYnizQaPtPTDRYWdJl9agPgOAYTE2WWlnTrlDTX3vdDgiDuObKPjRWwbZPRURcp9XHdtq3M6dOLmKbk2LESKyszrK4GhGGWiGRbnWTPXTZ01keaFKxVr2XDg2kD5dTxO0u+surU9cJx2b6B/dD72ukEBH5I4EeEXsA3XplnYtxNqj23CKQLhTwMNwxvW7LUaHR5+ulL/If/cIJXX52l0dClqr4f0WxGeF5IGEaJ/4m+IIRQyY1cICW4ruDkyUUKhSuUyxYPPLCNH/iBfbiuyYsvTmOakv376+zePZKH6nLkyKBUsnn88Xv51V99hjhW1OtFisUmq6sRSsUIsfaQkS1+W0PGeXtTDCNJsJEoZR9sVJ+qpJBJTM51Ler1AqWSwwc+sHfLPhAVixaPPLKDK1canDgxi5Sip5ZXqw7VqkMQxHQ6Ae12wOpql9XVLr4fUShYXLvWpFSyMU1JqWQxOengOCaOo/2WTp1a6D1kttsBcax45JEddLsRp08v0Wx6uG5Ap9NmTeVTbAx9pcd3M1KTqomKjcohrM9JS8nWjeQs3Qj0Q3W7HVKqRgRhhDAkp04t8PDD227C+m8TYg+8PAw3DG87stRqdfnCF17ji198nXPnlmk0AlotfUPQT0chYRgnN+f0YstKuenTCvg+rK7qJFHDEFy4sMxTT11g375RfuiHDvHoo7s5c2aR8+eXefDBKSYmtnijxRw5biL+xt84ym/8xos0mz7VqsOePRVOnAjQxv9rEEL1rAXWw2R9P7EUgx5MsipFP8lKnZ/XoFUlvUzqrWSaugquUDDZtavCxESRe+8dv7Eve4dCCMGuXVXGxgpcvrzKuXPLRJEOjRYKSdWapYnTtm3l3nJBEPPyy9cwDDG0vcn27WVOnVqgXLaYnCwzOlrozdtoaNK1/pwOCnP1Wzr0hc96t2ZLV8H1kPXuylbSDaiiG2rdPigkOGxWhRTQWu1SHY8pl21mZtq028HWUZfyarhN8bYiS8ePz/Jv/s0zvPjiDAsLXRqNkCCI8P0Q348TOdhJXllJPvtkA/rCSTtkh0BAFCkajZBGo8n0dJsTJ67x/vfv5Sd/8mFKJZNnn73CPffolgW5ypQjB+zaNcLHPnaYz372BJWKzfh4kdHRFgsLHaIoWpe7lFbGbSRMacl5dsDbzEgwi3R02Bh+S5Nzo0j/bVmpb5DB+HiRWs3lne/ccdfkJxYKFocOjbFvX535+RZnziwxO9tKwm8S1zWxbaN3XCxLcuTIGC+/fC1x9BYEQUS3G+H7+viXyzbvfe9uZmfb1OsulrV2Pl3XwnHsG7gXDir77w/BGUlyW796lMWgsFv2QfhGsIkSpXTBTxhEhH7aKBqmp5scOLBF+sUJF9zbF4ZL2qD9OnAMfWD/B+AU8HvAXuA88KNKqaXExPpXgB9EV2f8hFLqxWQ9Pw7878lq/5lS6jO3Yn/fFmSp1eryu797nC984SRnz64wN+cDMb4f4HmKMEwJEmgCpD/X6C8jTi8wAyiwdhGmLrS6k/jsbJc//uPXOX78Gn/n7zzM+9+/l6tXG1y71uQd79hOvX7nmtjlyHE7IITgH//jx3jiifPMzraZmipx+HCdF1/0k+pTta6iaDhhyppO3kiDt2x1XN+a5Mbwm2EYiVu3Sa3mcPhwnW3bKrzvffd8C9/6zoZpSrZtq7BtW4VGo0urFbC01GFxscP8fH+bEO3qfeHCCiMjDoWCxehogZERF9c1KZV0m5apqQ6nTi1gGGGPXMZxGm4VQ1TDbwXZh9lBlW6DHMEZMN+w9W42S1LBaUq67S6mIanUXM6dW2Hv3pGtEapVHnRvaxjuV4A/U0r9iBDCBorAzwFfVkr9SyHEzwI/i+4f+9eBQ8nr3cCngHcLIUaBfwI8gj6JLwghvqiUWrrZO3vXk6WrV1f5F//i67zwwjUuXmzSavlIqWg0IAiKaNIToMlO9mIbdIFkY+qpyV3q25JK1LosWcqYbjfm1KklfumXvs4LL8zwD//hOxFC8NRTl3nnO3fkYbkcb3vUakV+4Rc+wE/91JfwvJBCweLAgTqvvbZIHEdIaayrxpJSoZQYkMMEa6Qpm/PS79UzfODrJ0qpVYBp6uTuUsnk8OExarUCH/3oIcbHi9/el7/DUanoyt40/BZFMZ1OSByvFbwIAadOLTA722L79sHVX6OjBR5+eBvnzi2zsNChUrFZa+ygqyOjGxIDhxCaKE58tm4UN4WZZSAwDb1WyxB0/YggiKi4kiCIe0UMWwK3qRpOCFEF3g/8BIBSygd8IcTHgO9OZvsM8BU0WfoY8O+VfoJ5WghRE0JsT+Z9Qim1mKz3CeBDwO/c7H2+q8nS+fPL/OIv/iUvvDDD1asd4jhGCFhaMlDKQStBXTaWmG72i+lXmuJkHWnfIa1SxXED8FFKsbTk84d/eJKFhTY/93Pvo153ee65KzzyyA4mJ8sbN5Ejx9sIf+2vHeQjHznIF794mr17q0xNFWk2u1y82BhImIRQSDmMMMGbDa8IkeZF6fdZomRZ+nPXNdi+vcr27VUeemg773znzm/1625ZGIYc6FT+yCM7+OY3r3H1apOJieJAfyHXNTl6dIy5OW1N0Gpp9V5KkRhTwo0pPEMsI1QEIm2OPOihN8pMS9eV5kDdKHkaMp8QWK5JrPRvxi3YNFdajFYqFIsm09PNrUGWpAvOTQvDjQshns+8/zWl1K9l3u8H5oDfEkJ8B/AC8NPAlFJqGiDpITuZzL8TuJRZ/nIybdj0m467lixdvLjMz//8V3j++RmuXfMwDIXnGbTbaYy8w3oPjc2wmXybXsBpSwWFPqwjyTbWVKYnn7yA7wf84i9+H/V6gRdemObd797F6Ggeksvx9oUQgl/4he/mpZf0gLtzZ4V9+2r4vmJmppkQJrluEBZCYRhsojLdGLJqEmwkSqDzeSYmStx//zhTU2U+/vEjWyOscpsgpeCBB6YwTcmFC6uMjxcGHh8hBJOTJSYmiliWwVe/epXl5VZS+Zjt+ZZFakI56B6cmaYCdE84mcldSu/PQd/8N5rJLIb83f+9wHVtUCCkZHKqzMpSG3ZVcF2TxcXuDWzrDoDyILhpYbh5pdQjm3xuAu8APqmUekYI8SvokNswDDoBw0JAN1s6BO7S3PeZmSa/8At/yTPPTPeIUrNp0G6nbQ081i7CQYegv3S1/0lV9b3SHKbUtyVAq00OMEIcS4TQbrZf+9pV/tk/+0sARkYcnn/+Ku32oA7YOXK8fVCvF/m3//bDlMsW09MNpJQcPlxn+/YyYBDH8cAmrpo0KaSEAYLGQGgHfr1cdpkoUsSxbgibJUpjYwUefniKWq3A448fzcPnAyCl4L77Jjh6dIyFBY9m0x86rxCC7dvLHDhQp1h0cF0LEDdwAq/juK08UOl2U4IVsvE+ne339u2OqxKB0lV+AgzTZPu2Es2mtkowTUm3G9Lt3ojNxR0AcZNe18dl4LJS6pnk/efR5OlaEl4j+X82M//uzPK7gKubTL/puOvIUhhG/OqvPsNTT02zuOhjWdBsWnQ6Jjrsll5M/WpS/wVlskamjMy0dPqgZUmWT43Q0m2NoJSBlJIoUjz55AV+/defx3FMTFNw4sRszyE4R463K+6/f5JPfeoHcV2T6ekGhiE5fHiUvXsrGIaJUjFR1F9urqFDc5oApeRp/Sv72UY1KYriXhsT09TjtlaUijzyyDYmJkr88A/fyyOP7Lh9B2SLQQjB/v113vveXZimZG6uRRQNlv1c12TbthKmqRvtmmnbvsFrHjBtmKgQoh+GO6QFN+tJUkqi0kjADX0zNiNVhmniuBamIbWyNGqjlMLzNEFKPZjueAgX7Htvzus6UErNAJeEEEeSSd8LvAp8EfjxZNqPA3+U/P1F4MeExqPAShKu+3PgB4QQdSFEHfiBZNpNx10XhvvTP32DP/mTMywudjEMRavl4HmwpiYNor6KjSXE/TFuWE+dU++OQRdcGgtPlSYTqBLHKwihrf5/93df473vvYcHH9zG7GyLK1ca7Nq1ddom5MhxK/Cud+3mU5/6MJ/85J9x+fIK27ZV2bt3hGJRV121WiFxrAdAKcXQ/ltCXP/hI45V8pAiME0jIUlrPR8nJlweemgbY2MlPvrRw7zvfXtuH0lGhgAAIABJREFU7pe9S1GpODz66E4uXFjh1KlFTFMwMuKsC825rq4sTB8YTVMSegP6vkHf+3516Xp5TrDm4J0u/2ZylNLlhhErQaFoIU2JYUgsx6RetYi62ti4WLSQEppNn3r9Dm+uqzwIb2s13CeBzyWVcGeBv40+4L8vhPhJ4CLwiWTeP0XbBpxGV2P9bQCl1KIQ4v8Ankvm+8U02ftm464iSxcuLPPv/t0LzM52sCxoNEw6HYlSbdYukvUuvRopUepP9hvWPyhLmoaZmqVEKm3NYAIVlFpBCEm7HfLP//lX+a3fepzRUd12YHS0sHUMzHLkuEV49NHdfPrTP8TP/MwTvP76ErWazdRUiZERhwsXVpif7xAEMXGSrJSWn1+vcWmq3q5Vcq2RpBS65N1m374RDh0aZWTE5fHHj96VNgG3EoahuxdMTZW4fLnBhQvLRJGiWnVwXRPTlGzfXqRSKbCy0sSyDLp+rBvrbuAyg8JvIjN9M8KUTn+ziW03SsgE5aqLihWGbTK1rUq5IGgEknY76LWRabW2SKrFbaqGA1BKvYQu+e/H9w6YVwE/NWQ9vwn85s3du424a8hSGEZ86lMvcOLEElJCGEo6HZsoSvtDhQwmSkbmfTotjXOvuXWvIY139xOm/l9ZVl1KCZMDFJCyQxTB2bOr/Pqvv8AnP/kopil59dW52y7zK6VotwM6nTBpGJy2dNF5CI5jUiwO70KeI8etwP33T/GZz3ycX/7lZ/jiF1+n1WowPl7i0KFR6vU2MzNNms2AIAClooQApdfbcAghMAzZq8JKf+emKXEci7Exh/vvn2B8vMzu3SM8/vgR7r134rZ857sRpZLNkSNj7N9fY26uzdmzS8zOtpMwp8HBgzWuXFnCtk1MLyIIh+UlZacNI0mDIgbfKrJkbLiqZDomxZKNIQWWbXPf4Soy+U2lZD779x0N4YKZ94YbhruGLD311CW+9KUzdLsRpilZWXEIgpT0pDJstqQU1ohSnJkvZPN4dioVZ5O6sxdvfz5TVgLuAiWiKEBK3WH9C184yQ/90FHuuafG7GyLVsunVNpYnnuzEMeKpaUOS0sei4sdlpe9DdVEutO7PkZK6WNWKJiMjRUYHXWp13MFLMetx8REmX/6T7+bD37wHv71v36as2eXsG1JpaJ/g6urXebnPRoND9+PNvXqEQJSQ3CtQulBzLaNnoGiTjoepVZzec97dvGhDx28axy632pYlsGOHRW2by/TagW0Wj7T003Onl3h2Wdt2u0OpikIongIx+kP0Q1SfW5W3mc/CRsyFkiDQsHEkGA5JrXRMrum9O9Fp1voddy4j9RbDQ8V5b3hhuGuIEtxrPjt3z7O9HSbctlicRG6XQNosfZk0K+MZIlTWjWREqUs+cnOl1402YsnJUhp2wWV2VbWVsDMbKdEHK8AgmYz5HOfe5mf+7kPYJqSq1cbHDo09m0ekY3odkNmZpqcPbuM54VYlm5hUK8Xel3BN0MQRCwstLlyZRWlBJOTRfbtq1GruTe0fI4c3wosy+D7v/8gDz44xWc+8xJPPnmBK1cahGFMsWiyd28F3y/TaHi02yGeFyXEKc4UTYieN5NlGdi2iWGs+Qbt2lVmcrJCtWqzY0eVxx8/wtGj49cN6+V48xBCUC7blMs2U1Nl4hguXvT4ylfOIIQOw3ndKCn/H2Qj0E9ksqRpEN4sgcre7w2Gt86R2LZNqeKAANO2OXSojpu0xVFK9wtN/5ZbpZRqq+znW4C7giydObPIU09dwTAkSkG36xJFqSN3vzSfzVMi+TxgTVVKFSOb3pOMSAiUSsNpKlk8AiUz12NKkiLWk7P0wk8r5RzARkqfONb+S5/8pEe16nDu3DL79tUxzZvzq221fM6eXeLKlSZC0Osm3g/fj5JQXIRSuuTVNI1eywLLMrAsg0rFQSlFo9HlmWeu4Lomhw6NsmNHJSdNOW4ZpqYq/KN/9Bg//MP385WvnOfJJ8/xxhuLNBr6GnIcE9fVJCiOdZ8ypXQxBYieIW36u65ULHbsqFKt2tRqBQ4cqPHYY7s5enQ8KWXPcTuwd+8I73nPdl555Rq+38WyYoIoJgplYjDZr+r0RwcY8v7bRbb57oBPTYtixca0DEzLoFwrcfieNUd3pRQyYUhpI+Y7HsIFIw/DDcNdQZb+6I9OMjvrUSqZrK4KggDWiE+WLPW7t6ZKUpYomWiilPolpbJwuo7EqylOnjiMGCyVaSfXT5iyiePpOkKggHZ4l6ysBPz5n5/hR37kfqIoZm5ueOuAG0UcKy5dWuG11xawLMnY2HoFaXa2yfR0k/PnVzh3foGZ2SaeFxInQpsUYJiSasVlz+4RDuzXhGjXriqua/ZaIfh+xCuvzHLp0irHjk3kYYsctwyWZXDgwCj799d5/PGjvPjiDE8/fYkLF1ZZWGizuurRbgfEsbYASJ/uDcOgUjEpFh0cx6BSsSmVHCoVmwcfnOSd79zJrl3VnOy/BajXXQ4erPJ937ePz3++QbcbEsYxnTjWbUwGhsSyKv63gmE5USmuVwFnUCjbyYMkFCplHn5wglp5jRBFUUyhoIfXMIxx3S2Q86k84jgPww3DlidLy8sd/uN/PI1S+qmx0zGJon7H1P6LI1v2n5KldLqNzi3qv1CyyX6ZKjgF+AqsKBGp0s/S9WcvvDTXSatLSpkYRkgUxfzhH77Gxz9+L6WSxZUrjW+LLDWbPidOzLG42OlVYwAEQczrr8/z1a+d59Tr87Q8H2SM5Upsx8CsZEOPChWHzLVWufLSEn/17DksaTI2VuK7Ht3Dd37ndiYny9i2wdRUiWbT52tfu8R9942zZ89IPvDkuGUQQjA6WuT7vm8/73vfHppNn/n5NhcvrnDu3DJzcy3CME5yRhRSGpimoFZz2L+/zs6dVaamStRqLoVCriK9lRBCcOzYOIuLHq+8so3jxy/h+yHKAk8pek9v65A+iA6zbhm6NQZbBwwiSsOTjCzXoVCykIbALTrsOzjOsYP9RqVCG1WiH1y3wkOkAlR+2x6KLU+WTpyY4/z5Bq5r0OlAGJqsNcXd7Mkj254kJUIOmihlPZaGyb7Jk0L6oBMBMtJcy08JR5YgZbeTbt9BKR3Wu3Chwfx8m4mJIktLnQ0d128Uly+vcvz4HK5r9PoR+X7EU09d4itfPc/0tVViM6JSsRgbdbGuIw8XC8AIxEoRRhHLrSZf+ONv8udffoP7jkzy1z90iN27RyiXbVzX5LXX5pmebvLww9t6N4scOW4VHMfEcUzGxoocOTIO0MtZSi0CpBS9ZO48D+nOw/h4kaNH6zz++AEuXVomDGOiyMOIhL4Tx4PsWVLC9GZUpmEWMJkcVQGo4UTJNF0qFRvXtZACxibrPPbwKJa58XeVKksApdKdT8qFcBEyD8MNw5YfzZ555grtdsDUVJG5OfD97IUzqEoi++QQs3YRStbCcukyWVuALLGCdU8eEZokxeiwnBlBmFrSptVw/SWu2kpAqRYg8X3FSy/N8KEPHSSKVK8D+5vB2bNLvPbaPOPjxZ6adOXKKr/3B8d59Y1Z3KKgOmHh2G/eHE0KgW2a2CMmcUXR6vg8f/wSr56c5UPff5jv+Z592LYmaMvLHk8/fZl3vWtnXjWX47ZD21xsgbBHjh4OHhxlZqbN3/yb9/HpT7+I7wf4foySyR16KGGC9VXNKQZZCvSnYfR77ynW+spthDAdihWbYslGCnBKRd75nZOM19YPo74fUSxaGIYkiuLEluLO/z0qPGJ18q3ejTsWWyDrbDiUUjz33EyvL1S3mxIeWLtAhvkf9f9tonOU0ulloMT6m27a7mQAwqTkIQLMGMQgotYPgVImUgqUinn55Wu9T96sidmZM0ucPDnPxIQmSr4f8Rd/cYZ/9ctf5+S5a4xO2tRHCzj2t8+PpRRUSg4Tk0ViK+Tzf3ycX/2/nubSpRUAajVNxp5++nLSXTxHjhw5hsO2DR58cIKHHhrj4x+/j3K5gG2DkaiCuj/NMMKRPvjKIa9+W5esyp8+0F6n/YnUOUrFko2QYBcL3HffBO+4b2PXBc8LGB11k78jRkfdLaNoKiluyutuxJZWlrrdiDNnlrEsSRwrfN9gjfCkyIa+UmS9OvqVIgmk+UJN1l9Aab6StXE7Mbp6I+VfTgzeoIs7e5Gm29M4fnw2qaKA1dUu4+PFActvxIULy5w8Oc/kZAkpBe22z2c/9zLPvXSFYkUwUS/ekhwiKQUjIy5uMeSNi7P88q8+xY/9t9/BQw9tp1JxaDZ9nnvuKu9+9848NyRHjhybYny8yJEjY8k9UPA7v/Myc3MNhBAEKC36DFSYYM2iBQabBKfIqlA3lu8kjAKlikmhaGGagkK1xO7dNT74nglMY+N2wlAxMaHv3e12wP79tRvazlsPFymOvtU7ccdiS5OllRWPubk2pinw/dT4681USAwyHiugL7Q0yTubpJ2Vc23WGuWmq1BgSIiUrpDrLZNdx7oFACNpDCq4dq1NtxvhOOYNKzILC21OnJhjYkITolbL57c+8w1eOnGV2oRNwbn1JMWxTMYnDZaXO/zGZ77Bf9eNePe7d1Eu2ywve7z00jXe/e6dedJ3jhw5NsWBAzWCIEYIQbEo+Y3feJG5uSamFIRKJaqFmSR+D8stullu2QLDcilXbSxLYNuSYq3Mvn113vNQjdEBvd7a7aBXOBBF+ntMTt7YQ+9bD4+IU2/1Ttyx2NJk6dKlVVqtkGrVIgwlaoORWTZ5L8WgnKZ0uoVO8vZZH88eNsj3PeUolbFTivXRDfu3k4VKttlBCEGnE9PpBNi2kfjDbA7fj3j55WuMjLgYhsTzAj7z2y/x0qtXGZ10bkrI7UYhpaBeL7K83Oazv/sKjmPw0EPbqdVcZmdbnD+/zP799du2Pzly5Nh6EEJw9OgoadTKdd/J7/zOCc6cmQc/IoxSbxNQyky8mG6BPbawKZQcnIJECoHlGNQn6xw6UOfgbpt79owMXMzzQg4c0Pe51VWf3bsrW6hVlEBt7cycW4otTZYWFz2iKMYwDIJAEcf9Jzob7krRT6ayVXMm64nUoPYlKQZ0yBbJckLoyT2y1PtwwL7o9UsJcRzRagU4jkkUXV8he/31BcJQMTJiopTiC3/4Gi++coX6bSZKKYSAWq3I0lKbf/+5l6jXC9xzT42xsQInTy4wMVHcEiW0OXLkeOsghODIkVEsS+J5EY8/fpjjx0f52tcusLDQJIqTe6nQFcM3lzQZWI5DqWwhklzY0kiRPfvGuP9AhUoRDuwfHWgarItyzJ7pbxBE7N797fnl3U68WSOGtxu2NFnqdHTekBAk/c36VaRBylI/+nsLfRt9hvp4ljCzaxlGltZP97yol7e0GRYW2ly8uNqTeI8fn+HrT52nOmbiOjd+WlWsL+ogUARBSBSr3l7ZpsRKHGpN68ZCaJowFZifbfP7v3+Cn/7pR7Ft7QT+zW/O8eijeTguR44cm0MIwYEDdep1rUw/8ojFgw+O85WvnOf552dotn1UpNZ8gSSg0htudti/3n08JV4mTtGiWLAxTAgDhWGajO+oc++ROgd2uqBi9u+vD7QBiGNFqxXwHd8xiZSCZtOnXi9sqYdDgYPJkbd6N+5YbGmylPZ+yjZ+HVz9NogwDaqW66+S2CzfSG2c3rfKNRq2mUJF7zuAVpe08/Dw+aMo5pVXZhkZcRBCsLLi8ftfeA2cmFLxxuLjcaTotEPafpdYRgipkLZuMJrutxcr2j6IjoElTUpFW0vK1+E6UgpGxh1ePz/Hk0+e40MfOki5bDM72+Ly5VX2DJGwc+TIkSOL0dECP/qjR/mDPzhJsyn5yEeOcPDgGM88c5np6SarzYAgiIjChCD1brrrWNTAdQspsSxJoeRgOSYCRRgpImUwuq3E/r11Du+vUHJ1E+a9e0eHNjlfWfHYs6dKpeIQx4p2O+Chh6Zu/gG5hVB0CXjjrd6NOxZbmixZlo4F60aFg8hPSlIiNiVFvQssLSHN5ir1k60sKeurvpOZPnGmSCw7hpGtdB0qIXoSKQ0MQ+crOZuoQwsLHTwvpFrVfdr++E9eZ3p+mfFthaHLZL961wtZaXkoK8QogAig21J0Wj5+NyKOtRt6oWziFA2cYkyouiw2fVxDtzkxBlSBZOGYJqWRkD974nXuu2+CPXtGqNVczpxZyltL5MiRYyhSstFuBywveywuejiOwYULq7TbASDZu7fO1FSJpSWP+fkWzVZI11eEcay7USlFHGkCJYRESIEhJNLUBMkwDUxLEseCKFbEUYS0LMYnSxw+MMLhfRUcC4JAUasV2LGjMrRfZ6cT4LomO3bokNviosfBg3VGRraOqpRCXe9J+G2MLU2WarVCEoKLMM1sEl2W4KRkiSGfZ94SoglQyProbb8beGof0F0/KSNESUMQ9wraUoPKfqQeH1pZsiwDxzEJgoj6gEqLFGfPLlEu6yecK1caPP3cJao1C8vYPJFQxdBs+LTCDkZREXVgYbrL8lwX34uJozWFKz06hgWlqk19wqEybuLHHgtLIfVKEcvZXC0rlRxmm23+05+e4h/8/Xdh2wbLyx5LSx3GxrZKhUiOHDluB9rtgOnpJufOaRdvpRS2beC6JvfdN0YcQxjqB9+rV4u8+uo8IyNF9u8fZWmpy/x8k6UlD8+LiQUoJQiiiDhKbmoSDCkRUhILCGOJZRtUixbbJgrs3VtlatxFJA+wjmOxZ09501BatxvieSEPPjiFaUparYBi0dxCdgFrELhYHH6rd+OOxZYmS5WKTaFg4vsKy0qH9+z/WcKUVYeyxEX2qbQdtM+Sz5rTdn9VXLb3WwJD6MY6vRC4gOb1ksQFEPRUFte1qFYdut1wqPN1o9FlacnrtTJ56qlLeGGXkUJ/b6L1UDGsNrp4sYfpwso1n5lLHn5Hl7cahkRKhUASo5BCoIghFjQWAprLPiOLDlN7CljFkKVGmzqbEyYpBdURi1OvzzMz02TbtjLFosX588s5WcqRIwdKKZaWPM6dW2Z2to2U2tR2kIpz8GCNl1+eY2TE5tChMSYmSrzyyjXCMMa2zV7+Zrcb0WqFhGEAAhSSINRqVRAoDKmwXZuxms3YqEu1amPburjHdQwqFYd6/fp9A7vdkHY74NixScplmyiKabV8Hnts16ZpFHcqFB5+HoYbii1NlrZvL1OtuiwvdygUTAwjJorSXkHZ0Fs2XDYgd0mlzd1Aq0USKKIPj5dZV5ZweWurMDJyDOgQXG+d9oBtZhElZEkwNuZSqVj4/nCydPlyA8vSF2Kz6fPci1coVczrhrXaLZ9O3MG0BbOXPeYvdwhDgWkJokjQbsfEQTZXS5NNu6if7lSsWJrr0mkH7D5Ywa1owjRmljYNybmuxbWlFs89d4WPfvQIpZLF7GybVssfGv/PkSPH3Y9Wy+f48TkWFtoUixYTE4WhTtdBECOlYOfOEqdPL1OrORQKFu94x3bOnVtGSoFpSoIgotuNCMMY34/wvAApJdu2lZmYKPbakMTxWu9A0DmijmPcMMnxvJBORxOlalXnKc3NdTh2bHxLht9Ah+DyMNxwbGmyNDbmsm1bmdnZBkI4GEZIFJmskaNssnZKolKkXathY6iukyzvJq/UnDJEK04hG5FcZAKkLYmbaYfd/tBY/48xSG4QgoMH63S7UZITtPGiVUpx6dJKr53Iyy/PsLTaYmz75r3eAl/R6nYxizB/yWP2UgeUxDSg1YghNJLvmVonrOVn+S0Pvx1iuQrbFXQaMZdON9h7tIrhhDQaXWoj7lA+KKXALRs8/ewlvv/7D+C6mtgtLno5WcqR422IONb3sddeW8BxDKamyhvmaTZ9Wi2flZUuq6tdfD8kvcl0On6SimBhmhLDECwve0gpGBsrbLivRFFMsxnQavmMjLjfVp+2OFasrHRxXYMHH5yiXLaJY8XsbJujR0e5556tW7wicbA59Fbvxh2LLU2WpJTcf/8YL700g1JQLisWF1NylHog9YfOVN+0tHt1qkalCNHtTtL5hjhQCECs9RwSliQORbKqzVSlNfVGCIlpGjzwwBjNZsChQ6MDl+h0QuJ4rVLuuReuYNhsnqukoNHwEIWIzopi9mqnFy5srcagUgUtBuH3hSQl4IKCoNMhViFuQdBpxsxc7LDrcBHP79LtWjju8H0olSwWrrW4cGGZI0fGcV2ThYU2u3dv7KuUI0eOuxepmrS42GF0tLAu3BaGMcvLHpcvr9Jq+UgpsCyds5Qt16/XXSoVh+npJq5rEseKUslicbHDiRNNJidLjI0Ve2aQhiEZGXFot31OnZpn164qo6M3UAzTB88LabV8du2qsmtXFdPUjXLn5jocPTq6JfOUsojp4nHmrd6NOxZbmiwBvOc9O/i933uNIIgolRSLi+knfQnYPXUpzUHKEirFmqoyiBQNI0pCtzdJeY8pUZYBKzCYKGXfG0AL0xQYhqBQMDl0aIw4jtm+feOTFrCuBYrvR8xca+AWNz+FgR8TECAVXLvUIfRBSIXXUAlRMug5lqsIYQEoVCQgzlonlIi8Fj4htiNZWegyMm9RGTdpt30cd/jNxzIMQqVvgilZWlzsbLrfOXLkuLuwsuLx7LNXME2jl3MJWvmZnm5y+fIqURRTKlnXJTNTU0VMU3D5chPHMahWHapVh1Yr4OLFZa5dazEy4rBzZ7VHmopFnVd08eIKvh8xNVW6oQa3nqdzkwoFkwcfnOqZTrbbAY2Gz7Fj41taUcriW3AXfNtgy5Olhx/eTr1eYGWlQ6XiYJpdwtBBh9EGJXanttopCTBZy2eyQIQgoutbmRpCWwUIdJ8iU4BlwIpCt0y5ntSrgC5SSqSUjI6WmJwssm1beWhi4eqq38sPWlzs0Gr7OCObx9g7XoCwY7xVRbvhYxoSvxtD7CTfPwBCzGKIVVbI5BehFMQeeA0rCdMBFAi6TZyCgECwNOdTHbfwVUgYqKHGlUIIDEtw9twS34u2JfD9mG433NQiIUeOHHcHlpY6PPvsVUola939rdn0OX16sRciu54lSRZjYwUKBZOLFxusrvqUyxalksWRI+N0OgFXrzZ59dU5JieLTEyUsCydk1SpOMzMNImimB07KgMJUxjGtNsBYRhTrTrce6/ORdL5TorFxQ6FgsVjj+3spUVsdQgcHA6+1btxx2LLj1QHDtT4zu/cxhNPaPmwWg1ZXEx/vFl1qZ8wpX5K6XyJ4qRMQIIdQ5ghTQKtJEmRqa9X+mVJiA1oSIaH3vpVpS6mqTAMgWkaPPbYToQQ3HPPcCl3YaFNoaBP2bVrTbp+RMncJJlQQdcPMUqwOO8RhWCYiqBLsp8hEGFVQuyKIvbJ2B2AsKA0FtBaAMJEmVMWftfHsiStVR+/XcSwIwI/wrSG/5wc1+Bi8uSYhhHb7SAnSzly3OXQitJVymUb19XXexwrrl5tcOHCMq5rfkthMYBi0eLQoTpzc21mZtq4roHjGJRKNocOjdLphMzMNLh4cZl6vYBpGgihH9guX16l29UKE+hOBqm3sW1r9WtysrguBypVkw4cqHPgQG2o99JWhA7DnX2rd+OOxZYfqSzL4BOfOMrXv34RzwuoVk2WlyPiOCVEqZLUb1aZ5imlr8x7JcA3tW2rm4TpsqQpmxeOCZ6RkCyD4TlKKdK8KQ/TNLBtk3LZ5Xu/dzelkrWpv1KzuVZBdunSKrGIsDZ1+lYoGaNi6LZ1H6UwSKv/9L4IS2GXVYYkZfY/VsQC3EqAt5SGLW38jo/lKKIAuu2IUsEgCCMKm/ycbEfSaHZoNoOkWkTR7d6CBpg5cuS4Y9Bq+Tz77BVKJatHlMIw5vTpRebn29Rqb05NGgTDEGzbVqJatblypcnqqo9pClzXpFAw2bevTqcT4vsRO3dWkFLQ6QRUqzbLy11qNYft2ysUixbFokWhYPYMj0ETO51kHlGtOneVmtSPPAw3HFueLAF84AN72LevzmuvzTIyUqBYbNFsVlkjS6mKNIgwpXlLaVguUxkXAVFa5RYnUb1kPf8/e+8dHdl53mk+342VUVVAAw10Qmd2YLPJZjRJSSRl2aIVvdJItleUZc/I49Wc8Tqtw+w545U8u/aOxx6v7JXNseYsbSVrZNMKSyutJJPUWJQYmmSTbDabnRs5Vq6bvv3jqwsUqgFUdTeADrzPOXWAqrqpEO793Tf83iBcN+x4W+4fvvk9ZUdgmgGxmI2Ugl27cuRyNnv39i6bQ/c8OXdiqdVaBeCFBL4Ezcf3wKm5CE3guwGq800NnjTjXlPKcTFbBYkWA3QJfjgd2EA0BleWiy6ZdQZuvU3eUggCPzSVU6m55tbdiIiI64sgkBw5Mo5h6HOpN88LOHZsktnZGt3dlxZNWopEwmTHjizVqsfkpHL+BojFdGIxHV0XDA0V2b49PxfJ2rhRzvnWhUa/oDqP63WfUslBStiwIcWmTZm5EVPXIxo2MbZf6cO4arkuxFIuF+Od79zJ6dPTVCoO2axBvV7BdROo4mWz8RUWL7oOhU9Y4N1cb9SIBEmjoaGavYiajSqXolWgBUAF07QwDB3TNHjLWzYyOJinp2d5o8YgkHP/qJ7nobUpi5JIJILAV460Qjm00Rwe0y3ZGEK89OcQAjRdEvhqqyrQptb3Xdnw9VxeLAkhkEhcd345z4tmXEdEXK+cPTvL1FR1rpg7CCTHj08xO1tbtciMEGIuQrR+fZJCQZn4lkouUqpzzpEjY+zYkSORsNS5TRO88MIou3d34zemGGgaZDI2N9zQzfr1yTdEuUCAQ4WTV/owrlqum7+A971vN9/85kleeGEYTdMwzRquazEf9QnTcbB0TVGz27Zs+doqejqheTnZOJYC8bhBLGYghGDXrh4OHepn167u9lsT6o5HCIEQGoHsLDLTnDlsPXQZgDBoG3+VzRto9uDUYH7093IbaMjSppB7NB8uIuLGCljMAAAgAElEQVT6pFRyeOWVyQW1SENDRSYmKpccUZIyvLFTtEvfmaZGd3ec7u44QaBu1Op1n+npKuPjFXbujKFpqhN5dlZFoQ4d6psrQn9jnp/eiJ+5M64bsdTdHeOuuwY4fHiEYrFGPG7gurO4bjcqmhN2YCwnmJoRLV8vlsWEUhXLCkin4/i+svX/6Z/ezh13bJxrb10OXRdIqUSTZemItpkvDSEFmgGGqeO4QeOowvSkhlfVsHMBgdOapmw6eg+kJ5pUVwBSIiRYMR0pA3Rt+dEAEnXg4QlIyvYnu4iIiGsPKSUvvTSObetzBdClksPp0zMXHVGq1yWjYz4jY4KxSZ+aA74vMA1Jd06jrwcG1uukUsvffGmawLb1hs2AxcxMjWRS1TOBsi+YmKjOFYe/EdGwibPtSh/GVcs1L5aklLz66iSPPfYaQeCzf/86XnhhBM8LSCZ1isUpfL8b1SJvEs5jU6zWxbp5u2Gdj4Om1cjlkkgpsCydN795M29/+4626bcQ09Tx/QBN0+nuTiADFdpe6iRh6AICDS3mY8d06qUAw9Zw6x5I1bXnVXWsdKB8KmWzYFKhJM2CeiEsClfROc0IEJoADVJpk8CHmLG82PM8ScwyFpyIrsX5SREREcszNVVdkH7zfVXQHYsZHd8glcuSV44FvHLCZ2yWxnlPognZGJ4Ox4dUJiCTkGwbgBv3aPT1ah1FhLq6bM6fL5LPJ+YsARIJg+PHpzl0qP9yPv41i0+dcpSGW5JrWiyVSnW+/e0TvPDCKOvWqTbPbDbO6GiF4eFZggCSSUG5PIXv51BRpTAt5zLv8L2SoqlVKKnRK5pWobc3hZQqH751axcf/ehBduxY3K17MfL5OJOTFUxTZ2AgjakZeIGPpS3+axQ66EJH4pHqMihMOsoaSveQnkdoxFmdhnjORVioCFMjEKZp4JQEXslgPkVZw7I1Al+NP7ETgsATWPHlxZJb8+hf3zXXEQMsOf8uIiLi2uXUqdk5ixOA4eES5bLTkT2A70vOnvN58hnJ+ckAU/dJ2hLT1NDEhefqIPCo1CSHjxu8elZy+164ab9GLLb8OV0IQSpl8dprkxw8uB7D0EilLMbGKlQq7hv43BRF+5fimhVLw8NFvvjFI1QqHlu2ZOfuWHp7VRv+Y495TE+XAYjHJdXqZCPCFM54m/cZWjhD7lJpTbuFqTcP06zQ25tp3B0JuruT/Pqv386hQwMX1VmRz8cYGiqSTkNPT4JYzMRzfaxlfouJmEnBqZPpthg/X8VzVRt/3XNQw4J1pAuVcTBiPkYyQAjwagKvoiPdsN6r4UWleeimwHcl2XwMzQbK+oJW28VwagFbN6uQt6q7isRSRMT1RqXiMjZWYd06JYw8L+DcuQJdXe3Tb74veeGlgMefDXB9n3wqwGgTsdY0nVQCEnFJueLyT89Jzo0KfuLNJqnU8udW29Yplx1mZmr09CQQQqBpStxt355bcr0gkFSrLpWKS73u4XkBQaBuLnVdw7L0uSLzayl6rmOTYOuVPoyrllUTS0KIGPA4ys7aAL4kpfz3QoitwBeAPPAs8CEppbP0li7k7NkZPv/5l7BtY9H5Yrfc0kul4vPd755mdrYOeCQSUK1O4HkpVOt8mJYLR6CEY08u5o+79Z+xuZvOBJSw6epK4zgBui7o6krwG79xB+997+6LbkFNJq25AseuLptsNs54qUBimRs2O2YgqgZmwiPfF2PsTBXDAt/38GoVlGDSQKqUnFdtHTZM47MEICrE0xq+KzFjglx/jMCBuG0hljmn+YGEQLBtmzoBqWHB1hu0gDIi4vplaKiIrjN3bpuZqTWMaJf/Xw+F0nef9tE1l3xaQyx3UmlBE4J0UsdyPI4PGcjvebz9PoNkcvn9JpMm584V5kohstkYJ0/OMDjYNSd0pJTMzNQYHS1y5MgYTz01zNGjk5w4MU2hUMf35Vw5hIpQ2WzfnmP37jw339zHwYN99PWlyefjV/U5z8ehxOkrfRhXLasZWaoD90spS0IIE3hSCPGPwK8BfyKl/IIQ4i+AXwQ+1elGh4eLfO5zL5FMGksWC+q6xt139+O6Pk8+eZ5CoQr4JBIatVoBz6sSBDmUuAn9ipRv0LxognnhtNQfuGxaNowkxVH1STN0d8cwDB3XDdA06O5O8e/+3V188IN7O/24C0gkzDnzcCEEO3fkOfvkNDIzbyreiqZD0rYoOR49Azblgk9x2lEjSwgFk42KtIWfvVk0aoADokYsramuNl3SuyGBmQBZNkhkl48QOY5LzLIYGFDCtlbz2LAhfUk/g4iIiKuTIJCcOjU7F0WSUnLuXGHBENylOHvO5/FnA3TNJZPsXCS1Yls6OeHx+rDB93/o8cCblq+Tsm01p7JUckilLAxDw3V9pqaqZLMxhoeLfP7zR/j7v3+VEyemG/52IKUSRqapzQnDIJA4jkup5HLu3Czf+95JNE0jFtPZujXHu961gw98YB8bNiwsR7iaiJzvlmbVfmNSSgmUGk/NxkMC9wM/23j9EeD36FAszc7W+PznjxCPLy2UQgxD4y1v2Yhp6jz55DmKxRrVqkcioeE4Ho4zjufFgXBorc/CwbphhCVo+n5h8bNCRwkNJSqEKJBKQSaTxveVfb5tG/T3Z/j4x+/hbW+79G4Dy9JJp01qNY9YzODO2zfy5H8/Tc1xidtLn5ASSYvatE8QqzOwNcEZ16NaCrDjAl0PqNfL4CmzyfmaLjW7DuFh2qi5b1KCkKzrj5Pvt/Eq0JWIoRvL3y0VZx32bBuYGxDsOP6KG9JFRERcWSoVF9cN5jrgymW3o1qlclny5DNSpd7Si0f2gyCgUnGoVh2klJimTioVXzT9b5o6KdvjyEmDrZt9dm5f/jJnmjpjY+UFppTf+c7rfOMbJ/nWt04wPV1H0wSJhEV3t40QypMvCGTDWLf5emCgafNdv74vqdddXnllkpdfHufhhw9z//1beeih/dx++8arqhRBwyLJ4JrtTwhxCiiiLr6elPJWIUQe+FtgEDgF/Asp5bRQivRPgQeBCvDzUspnG9v5MPC/Njb7+1LKR1bjeFdV3goVR30G2AH8OfA6MCOlDPv3zwEbllj3o8BHATZv3kwQSL75zeO4rk9vb2fdY4ahcc89/XR12Tz++DnGx0tUKmoGnK5LHKeK55UJAgspw/RcOIKjOcq0YEAc887doaiooGkV4nGNZNJG1wWO46Prqojw0KEBfvM3b1+RLott23I8//wosZjBli1ZtmzKcXJ0YlmxJDToysSYmvGxUx6bd2UYOlmhPOOoyFNaEAQBXr02N+5OaKDpAtNS0STfDdBt6OmPs26jje9K4npsQSHnYjieB57OW960WY1b8QJMU7/kWVARERFXJ5WKuyDCXSo5HaWdXjkWcH4yIJ8KLki9BTJgZqrC+HiRcsUlCGSjSUZgWRq5XJLe3jRWS+FmIq5TKwQ89bzG5o0S2176OBIJk8nJKtu25RgZKfLJT/6Q73//HFJKbNukpyeFEKojr1p1cRyJ60pcV9kYyDmjX3Vcui4xTYllCUxTdT7H4ya+H1AsOnzpSy/x1a8e48d/fBuf+MSb2bYtd1W4ggc4lDiz1ru9T0o50fT8t4H/T0r5B0KI3248/y3g7cDOxuMOVIDljoa4+vfAraiL8TNCiK9IKadX+kBXVSxJKX3goBAiCzwK7FlssSXWfRh4GODWW2+VL788xiuvTDI4uPSg2cXQdY2tW3PUagZPPDHC7GwRx/EIAhUxsiwPKT18fwrfBykNwEJKCxUMa77TCVN1dYRwAQ9N80gmLWIxdfEPAjVSLp026e/v4gMf2MtDD+3tqMCxE3p6EmiamBtIe9+bBzn+yASu72PqS4evDVOQyySYLlSwkh5bbkgwMaQzNVrDrasCd8MUC05uQSDx3ABNh1TOom9jjGROx61LYiJGJhNrWxNfLjqs605zww29gKph2Lkzf00VPkZERLRnZqaGac7/XxcK9bb+cfW65JUTPqbuX1DMHciA0eECwyMFalWHulNF+uGNq8S049SrPpVSjS3berCthTeMyVjAyLTk/HDAtsGlj0PXBZWKw9e+doxPf/owY2MlLMsil4sRBAHlcp1KJaBSaZ72APMTGZqOOQDP06nX1TECGIZPPO6TSmmk0zGkVAXiX/vaMQ4fHuW3f/tO3ve+fVc8yqRiZFdctL0beEvj+0eA76HE0ruBv25krH4ghMgKIfoby35LSjkFIIT4FvCTwOdX+sDWJHEqpZwRQnwPuBPICiGMRnRpIzDUbn3fl3z968fp60ugXcQ1dnjY5fnna5w+7eN5kmQyT3+/wcjILPW6g+8LfN/E9yWa5mNZdcAlCGoEQQXZ4pAtBA33bIGmaQ1HbR1NE0gpicdNUimLdNpmz54efvmXb+a22/pX9K7BNHW2bMly9uwsuVycfft6Wb8uw+RMsW1qy7Q1cl1JCsUanl6nd4tNrtdmZsKhMutRq7r4ftCoS4K4bWLHNHK9NomMBjq4VY2kZZNKWog2v4u651ErSe59YJBYzEBKie/LuXRcRETE9cPkZHVBLU6hUG9bmzM65jM6Cyn7wnvmmakKwyMFSqUSnuOipgc0ovuBxK3VcOs1EFnOnpli27Z1aE0XCNvSKVQDXnlNMLh5af+lmZkqn/nMCxw7Nk0QSNLpOJ7nMztboVIBzwu7gWE+8wBL3yl6C595gmJRo1yWWFaddFojHjexbZ2hoSK/+qvf5utfP8kf/MF9bN58ccGAlUTHJsWWldpcjxDi6abnDzcCIM1I4JtCCAn8ZeP9PinlMICUclgI0dtYdgNwtmndMCu11Osrzmp2w60D3IZQigNvBf4Q+C7wPlRH3IeBL7fbVrns4LpBx86qriv50Y8qHD7somkuUrrU6y6u6xMEkMulKJdrlMtVfD/AMAKCQCBlEl33sawaQgQNMcQCi32QjVCzwDCUaNJ1waZNXQ2RtI6f+qlt3HPPRjIZ+6J+Zp2yYUOaEyemkVKSTFr8D+/Zw198+kdUqw7x+PI/I9MS5HNxymWdStlBNz3WbbIRm2x8R+I3zgVCgG6CZqjZckFdw8Akm7Ix7faKVQYwM1lnx9Zu3vxm9Q9YLDr096fmhmpGRERcH0gpKRbrc+l11w1wHK9tcffImCDwgwURKVA1SuPjRWpVRwkl0Sh/CG9g5zyXAorlIlojOpRKLYzg24bPxKyG64K9yOl4aKjApz71DOfOlYjFDBIJA8/zKBYDfD/slg5YKJLmPjVLj85qXc4nCAS1mk6tJkkk1AzTTMamVvP42teO8dprk/zN37xrLgq/1vg4FFYuDTchpby1zTJ3SymHGoLoW0KIo8ssu9gPeqlfwKrUqa9mZKkfeKRRt6QBX5RSfk0I8TLwBSHE7wPPAZ9ut6FKxaWvL9nRTstln298o8zwsI+uVykW67iuRMpgbnCrpgnS6TiJhI3jhH4ZTkMcmQSBRSbjoGmhB1P4PyoRQokjw9ARQnVDSAn33ruZX/iFm9i9O9fWc+hySaUsNm3KMDRUpLs7wYEDfdx12yaeeOokRr+B2SbFJTRIpS0SCZN6zadcdfGlj9QCNF0FY6UUBI5A1jRs0ySRMjFMrW00KaRUrhHXbD74/huJxQx8P6BW85b1L4mIiLg28X3ZGMWkrl2u67eNqEspGZv0G87cC5etVBzKFZV6AwEyHHTeikB6Pq7nMzlRvEAsWYagUBHUaheKpbNnZ/nzP3+asbEKlqWh6xr1uk+pJFg8krTop1ji9cVmiYb1r5JKRcdxfLJZjUTCxLJ0Xn11kve//1E+85l3cdNNV8pFfO3ScFLKocbXMSHEo8DtwKgQor8RVeoHxhqLnwM2Na0eZqXOMZ+2C1//3moc72p2w70A3LzI6ydQP5SL2VZHs9Pq9YBvfKPCyIhHEJSYnXXxfb/JMEwHdKQUCCHR9QDDMLAskyCI4fuhUIB63aa318OyWDCJWtM0UimTnp44/f0J+vtT+L7H1q1Z9u3rXrNCvV27uhkdLc91xr37XXt47fgkEzMlevKJJa0EmtF0QTxpEE8aBD74XoCUUsl1oeq9NE10LJBC6o5HacbnPQ/uZnBQiaPJySq7dnWvWrQtIiLiyhEWXi/1fPF1oFwVaOLCAEG16igB5oddysuIEhngOi7linvBu7omKdcFTsvsy+HhIn/2Z0oo2baOEIJqNcBxwsYdn4WD1ZsJjyVoeU7TPprrmhabM+rjeToTE5DJeGSzJplMjNOnZ/jQh77Kl7703iU+7+qhY5Fm85rsSwiRBDQpZbHx/duAjwNfQWWc/oCFmaevAP9GCPEFVIH3bENQfQP434UQ4V3424DfWY1jvjrNHloIW1Hb8dRTFYaHXYKgRKHg4HlBwyhMp1o1KBbjOI5OEIiGGPDJZOokEiqK5HmqaDoe10kk4liWwYMPJhpeGvNiKZk0FhxTEMDJkzNMTFRYt66zCNjlYlk6N964jh/9aJi+viTZbIyf/eAB/vKvnmZ6ukIu15lgCtF00Fag6LrueUyN1zi4b4C3vnU7oLpiMhmLwcGuy95+RETE9YGUS0sgOTenslGntKRWarwnRaOTVy64YZ0rcQrmNzA7W+eTn3yasbFyY16dRrkc4HlhNGmxCeXNAmkxkdRKcwe1xkLhFXZRqyhToaDj+w7d3RaZTIxTp6b5uZ/76jLbXh18HGY5t1a76wMebfyuDOBzUsqvCyF+BHxRCPGLwBng/Y3lH0PZBhxHWQd8BEBKOSWE+ATwo8ZyHw+LvVeaa0IsaR1UdZ896/DSSx66XmNmxsXzlN9HvW4wOZnCdS2kVJETJZYkvm8wOWkxM+OTy1VIJGr4vk+1CobhEAQ2J05I7r57+U620Ob++PGpNRNLAL29KbZs6ZpLx+3d28tDP3eQ/+dvnrskwXS51F2PqbE6e3as5+c/fMtc+q1Scbn77k1RB1xExHWKCGuvm553so5pLF52Ypq6GtaNhEAuvcGGqNI01abfGtn3A9AEczVRnhfwmc88z/BwsSGU9Cah1OqZ1Jw+85veb44UtSuZCe1nws45nQujTT7lso4QLvm8QSYT49VXJ1hr1rIbrpFhummR1yeBBxZ5XQIfW2Jb/xX4ryt9jK1cE2Kpk3+8p5+uo2lOw17fR9ME9brB+HgGz9PwPA/PAzXmJAyxmhiGThDA+HiSfF4jna7g+z6lkkt3d5WXXhLcdJNPKrV8GjCZNDlzZpa77tq07HIrza5d3UxNVSkU6mQyNocODQDw1589zMRUhVw2jtHhpO/LoVp3mBl32X/Den7hw7eQSlkEgWR8vMK+feui9FtExHWM6gief97JjZGuC3pyOq8PXVgXlErFsS0Nw4rh1essXUgdgJCYtkkud+GNqutJMnFJrHG/++STp3j22VEMQ8cwdEolv9Ht1iqUYD760yx4wkfz5IbFBF+zGArFVvNUhNafj0+ppKNpHtmsKjQvFhf5yKuIjkWGjWu702uIa0IstWN83GNkxENKt6nQUGdyUgkl1w3w/RpKKDX/sbsNIRXHtgXT0wksy8Wy1F1EpeJi2wHHjtW55ZbljTCTSZOhoeLcjKC1wrJ0brttgB/84PycZf+hQwPEYgaf/9sXGBkpks2bbbvkLhU/kMzMVAmqGnffuoUPfGA/iUQolMrs3Jm/aG+siIiIawtd17BtfS6ib1nKUqXd+bCvR41WCgJ/QQbBNHWyuQT1mkfBqav22rB4MmxTbogYO5EiFjPIZhcRS77O+mSAbcOZMwUeffQYUkpiMYNKxcHzLBZPp81vf2FkqFUkLcZiaTedhSO1jJb3AXyKRZ1EIsA01/7S7OMyy/k13++1wnWRFzlzxpmbBB0Eqk6pVrNwXaNJKIUz4FzU2LowwhQAZRwHpAwoFuMIof7pazUP0/Q4dsxbeucNbNugXHYoFuur+EkXJx43uf32AYJAUiio/e/b18tv/No93HPbIKXpgKnJKq7frrOjc6SEas1hfLhC1krwL3/+Vj784YNzQmlsrMy2bXl27syv2D4jIiKuXrq741Srqsha09T0Atdd/pwzsF4nndCo1C6sE+rtTZNO26QyXQizMYpKBhD46isBdjxBIm6xaUPXBV3IQRDg+RpbNxrU6x5f+MILFAoutm3iOD6Os1iEB+ZFTXPqLWh5Pbx2LPbwUNcXt2kbsPBG3WNhp50SZFJKpqYWq5laGyRiRR5XK0KIrZ28thgdyVchxC6UvXiflHK/EOIA8C4p5e9f1JGuEsPDHobhUa8H+L7EMHQKhRhS+o0ONzXiZGEolKbXdKRUNUrVqonn6QjhN+qbPAoFSb2+vGV+6L00PV1bMbfuiyGZtLjzzg386EdDTE5WyOfjZLMxHvrQTdx0oI+/e/RlRoeLGHGNVMrAtsxLqmfygoBqxaE862PpBnfesoX3vucG8nkVeavXPaana9xwQw/btmWvChv/iIiI1SefjzM8XCLdmJHd1WUzNFTEtpe+zKRSsLUfXnjdIBFfaCFgWyaD23o4c3oKQxe4foDreOpyLDRM2yQWM9i0oYts7kKj23ItIJ0w2blN8Oyz53n99RkMQ0NK2Rh7FefCYm6VcZiPJoVCp1n0dEpzCi8UZqLpPVhYAK6EmePoFAord2PbKTomXdd/Gu7vgFtaXvsScKjdip3G+v4L8JvAX4KyBRBCfA64KsTS5CSAj5RBY4aPjuPoDYPFMNLjceFdRPM/g4Pvq7lu9bpJIuE2pkh7mGZAoeCxbt3yBmtSyrZ3UqtJPG5y550bOXp0gnPnCmSzMWzb4OabB9i5s4cjR0b53uMnOXNuhumgTiJlYNkahqFh6PqiwsYPJJ7n47gBTs3DqQRkk0nedOd67rl7E1u2ZNE0dQKanq4hBNx6az99fZFLd0TEG4lUylpQt5RKWXPedkuhaYKb9mq8dk5SrjikkwsvSbZlsn37Osplh8mJIpWqi5RgmBr5XIJsNrmor53n+dQckwM7oFar8vTTwziOJBbTKJXqQILFu96ao0mwcDbopRJGopoHlYd2CB7K06m56NunWFz7pI+Py/R1moYTQtwA7AO6hBA/3fRWBjUUti2diqWElPKHLRfT9rmpNUDN4glbTRVSagSBRntDsbk1GtsKv87/oYabdZz2W9E02p4cVhvL0jlwoI/165O8+OI4pZKa+p1KWdx55yZuu20DJ0/O8M8/OMPx16eZLVQp1V08WUMYoamcVK24voRAYJkmybjJwPoct9/az8GDA2Sz839f9brHzEydDRtS3HBDz7J3khEREdcn4WyzsH0/nbbRdQ3fl+jLNJn09WocukHyxPMmtuNd4KmnaWqmWjhXTSLRljF/C6RktqKxPic4sAdefnmSU6cKCAG1mst8vVDruTqMKK2kUGomzHAYXNhpZzQ9h3YeVavHdVGZsxi7gXcAWeCdTa8XgX/VyQY6vapNCCG20/hNCiHeBwx3fpyrh2pZlY3vRePrUp0NS26lZf1gwXOgo5l0Uoo1Le5ejt7eFPfeG+fo0QnOny9iGBpdXerktWNHnh078vh+QKFQY2yswvnzBSYnq9TrPr4fYNsa8bjNxo1p+vpS9PQkLpjzVKt5FIt1TFPn0KH1UTQpIuINjGXprFuXmGs0MQyN9etTjIyU6OpauhtW0wS3HNAZHg94fcggK7wlpyAIIRDL1MQEUjJbksRMgzfdpjE9XeT06VmKRQeQjZtZmwuvB2FEqbXVf6UJO7FDwRTuU5WDLHxtbdGxyDKw5vtdC6SUXwa+LIS4S0r5z5eyjU7F0seAh4EbhBDngZPA/3gpO1xphIBkEjxPa5iSga5LDEON7FAf0UP9IS5GQNitIIRaxzDCf5xwrIkgHu9EccuODTTXgjDKtHVrlnPnipw9O0sQQDptzZmx5XIJcrkEu3f3dLTNsIjccXzSaYubbupj3brkVfW5IyIirgyDg1388IdDpFKq+7avL8n584W268VigrfeY+L9k8upUZ10zCceu7ixUZ7nM1sRxEyDt96psb5P8vzzZV57bQLfD9SQ8AUpsJDmLrWQ1RQrYUlI+GjusrtyeDhMtZ9rf61zXAjxu8AgTfpHSvkL7VbsSCw1DKTe2mxRfokHuiqsX68zPW1gGKIxmsQjkXCYnbURwkTKGiovXGNhMV0AhK2jJoYhME2XWMzH98EwlBeIbQvS6c7+ccNQ9NWEGvBrs2NHjvHxCidOTDM2VlZ3aQJiMaMhnhaauqmaLZ9azcN1w2gbDAyk2Ly5i0zGjgq4IyIi5sjl4sRiBo7jY1k68bhJLhejXHbbDtXt6hK84wGTJ57yePmURtXxScYC7DajroIgoFILqDom63OCN92msWWzzuhoGcfxGR+vNYQSzNcHtabaFrMHWE3CCFNzwXfAwuvTWiOQ128aLuTLwBPAt+m8TgdoI5aEEL+2xOsASCn/+GJ2tlr095scOeJi2waep+4gUqkqhYKNZUG9Hkc5pIdeQ2FXXOjaaqLrOpqmk0rVEMJvjElRy/T2auhttFLYhRdO3b4aMU2dgYE0AwNp6nWPSsWlVHKZmqoyNVXFcfy5egMpw/Zfk40bM+RyMRIJk0TCvGpSjREREVcXmibYti3L0aOT9PSoDtnBwRzPPTc8d0O2HMmk4MffbDC40edHL8LItE6x6mMZAZYpMDQlIvxAGU66vo7n66TiBrfvFdx20CCZFPi+MsRVg9KbC051FkaNwojSaqXdlqI57TbfCTfP2p9jdUxyXKkBvmtGQkr5W5eyYrvIUqMJlN3AbahhdqAKpB6/lB2uBps3m8RiOqZpUamobgnL8slm68zMxDFNiesmAQdVxBeGYZUY0nUD09SxLJd0Wt2F6LpGImHg+wb797d3n65U3Lnus2sB2zawbYNcLs6mTZm516WUc0IpIiIi4mJZvz7FsWOTcwaViYTJ1q1ZTgKG1YkAACAASURBVJyYobu7/c2krgtu2GUwuFlyftjn6HHBxKxktiwoe2pUlUCQTkj6UwFbBgx279BIpebPW4VCjSDwGRoqtTTdNKfgWou5lzOaXA081A18q8v3lYks+bhMMbLm+11jviaEeFBK+djFrrjslV1K+b8BCCG+CdwSpt+EEL8H/LdLONBVIRbT2LNH57nnLBIJh2IxwPN8stkyvi8plRLoeoDrCoIgNtdpoOtqSK8QAsvy6OkpEjb5GYaGbcdJJnUGBtq7X5dKDvv3967ip1wbwtRcRERExKVg2wZ79/by/PMjc00f69enmZiodpSOC4nFBNu3GmzdInFdqNWgXg8IpMAyNWIxsG0WjVYpGxON4eFK06utKabWhu5LFSg68xGri2kSb069tXJlTsJXs6HkCvErwO8KIUJnaoEaPZdZfrXOC7w3o8IyIQ6qQGpNkB30UR48GOP4cY9azaZe93AcD8/z6O6uYNsBhYKFECrtFk60FkJD1z1SKYdMpgp4SKnSaZlMDM8zuffeGGYH/9u1msfmzV2X+1EjIiIirnkGBlIMD6eYmamRzcbQNMHOnXmef36Uet3Htjsv3tY0gW0rYbR0o848UkrKZRchYHh4tnlLLKxXbTaevBShpKEsekJLgPC5w6Wl9JaaM7c26JjkWX9F9r1WSCnT7ZdanE7F0t8APxRCPIr6bb4X+OtL3enFEhYXL0ciofOmN8V57DFJLieZnq7gOD6e55FIVEilatRqBvW6he8LdF1gGA7xuIum+XieMrQ0DJ1sNobvxzlwwGDz5vZRpWrVIx432LEjGu0RERERIYRg374eHn/8zFw6Lh432bevlyNHRgEuSjBdDI4TNDzz5sc/KZojOGGdUkgodha71hgo78IqyuQ4XMZmXhiFIkdDpdZqHR5tmHpr7oq7MoLJw2WS0TXf71oihHjTYq9LKduWFXXaDfcfhBD/CNzbeOkjUsrnOj/EyyOso2mXHhoctLjnHp8nnoB8XlIo1KjVfIJA4nkeluVh287cdoJAzhlR6rqGaWoN47M427YZ3HVXZ75BExMV7rhjwzVTrxQRERGx2sTjJvv393L48Ai9vUk0TZBOW+zb18tLL43NDbRdaRxHNTl5XoDjLBUxWqpuqRUT6EJFj5qFUlj71Dy2BOZTazoX2Wx1FfCG6Ib7zabvY8DtwDPA/e1W7HQ23GZgAni0+TUp5ZmLO85LQ816qy9rbBZy4EAcwxB8//uCZNIiFqtRqTi4rk8QhMIrdEkVmKaajh2PG8TjNp5ns2ePzr33pjtKv/m+Mjq76abrO3wZERERcbEMDKQoFvOcODFNb28CIQSZjM2NN/Zx9OgEs7O1FbcgqVZdNA0KhdaxC82F1LBQHIXip/m1MKLkNR7NUafWIuzWdF6nn+fK+yuFGBh003elD2NVkVI2u3cjhNgE/J+drNuprP9/mf+txoGtwKuoWSurTiplMjFRJp22O3LS3rs3Rn+/yeOPlzl/XiedjgF1XNfH8yRBEKBpKhVnWQZCGHieSSymce+9MbZubS/KQkZHS+zZ00N3d+LSP2BERETEdYgQgt278wRBwOnTs6xbpwRTKmVx8OB6zpyZYWioRCplrVharl730XWNqalKyzutRpTtDCGTTe+Hvkjhss2F2c2RqTAVd1VMA7soPDzGr/M03CKcA/Z3smCnabgbm58LIW4Bfunij+vSiMdNdu3q5uzZAgMDndVn5XI673xnhtFRlyNHapw+rYq7NU2pfyHU5GpNE3R3axw4YDE4aGGand/hKP8OwVvfuv2SPldERETE9Y4Qghtu6EEI0YgwJed87LZty5PPJzh+fIpy2SGZvHzR5Dg+lYrLyEip9UhYWBMUCpswYtQaVTJRDVPNI0rcpmUlC9Nt4fbg4gu8LzYitTpc72k4IcQnmf9ha8BB4PlO1r2khLGU8lkhxG2Xsu6l8pM/uZOHH36GSsUhkWhfdA1qnlt/v0l/v4nrQrHoMzOjapjUmBSNXM7Ati/+DzQIYGSkzHvec8OCobIREREREQvRNMENN3RjWTqvvjpBKmXPWQhkszEOHlzPzEyNc+cKTE1VMU2dRMJsa2IZIqWkXlciqVJx6elJLOIVFxZTw7xYai70bhY4Vst7aiTWvFgCVcRto0RVuG1J58XdsDA61ezovfYYmKzj2re/acPTTd97wOellN/vZMVOa5aanbw14BZgvOPDWwFyuTg/8RPb+fKXjzI4mOv4nyjENCGf18nnVybUOzxcZNeuHvbvv75zvBERERErgRCC7dtzdHfHeeGFUcbHy3R3J+aiTD09Cbq745TLLqOjJaamariuP7euYSwcx+T7QaOLWTSmDVjs3t1FLhenVnMXEUutHXALjq7leYwLC7R1LuyYC7vtluqku3ZwcRlb28v6miOlfEQIYQG7Gi+92um6nUaWmnNfHqqG6e863clKceDAes6dK/DccyNs2ZLtqH5pNRgdVfVTDz64M3K6joiIiLgIstkYP/ZjmzhxYprjx6dIJExSKathiKtETyqVZ/t2lVKrVj2qVZdazcP3g8awdCWwkkmLeFxNIwjPxdPTVarVxfa81Oy1xc7hBheKJYEq2a1yoTBqfX4x4ilM6Wktr6014ro3pRRCvAV4BDiF+oVuEkJ8eMWsA4CXpZQLHLuFEO9njV28NU3wkz+5k2rV5ejRCbZsya25YBodLWMYgg9+cB+ZTOeF4BERERERCsPQ2LWrm76+JMePq8Heui7o6oo1ZnIqLEvHsvSOOqFDTFOnWHQIFtUqrUXey40WMVCRo7BgO0yTLSWYYOEorXZiqXkuXJjma35vbTEwWMe6Nd/vGvOfgLdJKV8FEELsAj4PHGq3Yqdi6Xe4UBgt9tqqYxga73nPHh577DWef36ETZsymObqmJs1I6VKvSWTJj/zMzeSz0fdbxERERGXQ1dXjEOH+qlUXIaGipw8OYPnBViWTixmYNt6R7YCnhdQq3nUah6O42NZGhs3prBtQb3eLIZcFo8awUKBUwG6ma8/Ct8LI1OJxjZ8Fjp4G6g6pvD1pQiLwcPP1vw9XInIkofHGBNrvt81xgyFEoCU8phQoz3asqxYEkK8HXgQ2CCE+L+a3grNJ64IpqnzjnfsIpOxefLJM2QydkcDGi+VatXj/PkCO3bkeec7d9PVFRV0R0RERKwUiYTJjh15BgezTE1V5x6Tk9VGQ44SEq26KXzPsjS6uxPk83FsW+fZZ4cZGSlhmgb1enNRtoMqyG6l1TW7AqxHCZ8681GfsO4pFDsa87PhwmVMYKbNJ26NKl0dXWjBVXIcq8jTQohPo6aSAPwcypSyLe0iS0Oo6vF3tWywCPzqRR7kiqLrGvfdt5WdO/N89avHOHVqhg0b0isaZZISRkeLeJ7kne/czcGD69H16/6PKSIiIuKKYBgavb1JenuTgCrirlRcqlVVr+T7auqCYWiNmXGqa655ekLY7bxjR5Z43KBUclv24qHESdjB1tr1FjpzT6Pcu2dQIqu1wDtcx2K+sy68PiwXS2iOIoX2A1f+unKpE/KuMX4Z+Bjwb1G/hMeB/7uTFZcVS1LK54HnhRCflVJelS5bGzd28Yu/eDNPPnmGH/zgPFJKenriJJOd2Qsshuv6jI9XqNc9tm7N8+CDO6K0W0RERMQao+sa6bRNOt15zZIaq2LT05MilbKZnq7hea2puBjzwqhVAIXLTqOMKTNAASWYmtNnzb5N4YiTOMs3irdGkZojUgs+RWcfdgUxMeijZ833u5ZIKevAHzceF0W7NNwXpZT/AnhOCHGB6JRSHrjYHa4GlmVw//3buPXWAV56aZynnjrP2Ng0iYRJOm1j28ayVgNSQr3uUS67FIt1DEPjxht7ufnmAfr7UytqxR8RERERsbr096coFKr09MQZHi60iKVwflsYXWo+vzePPQlQyZV+VP1SEZWSa44bhIXZofiaYOmoUqtQCo0uL7y+GIaOt8bhCRefEabWdqdrjBDiHcAngC3M//CllDLTbt12abhfaXx9x2Ud4RqRycS4665N3HbbBk6enOLllyc4d67AxESBIFD5buXJoQRSEIQDeiWJhEV/f5q7797Mnj09lxWZioiIiIi4cqxfn+Lo0QluvLGX11+fxnXr+H6zYKqhokZhoXdzdCl05ZYo4XMelY7LoVx0HOaH6hqN5apAiaWH57ZGo5YSShIwyWQkU1dAt7wB0nD/Gfhp4EUZDontkHZpuOHGt/+TlPK3mt8TQvwh8FsXrnXlMQyNnTt72LmzBykl1arbKBis4Tg+ruuj6wLT1OjqitHdnWjMnYsiSBERERHXOvG4yfr1Ke6+ezPf+c4pKhUX328VMjVURMhhof9SGC0Klw/rl2ZQXXCxxvsBKtpUYXmbANH0CDFZKv2WSgkMY+2rXkx01tO95vtdY84CRy5WKEHn1gE/zoXC6O2LvHbVIYQgkbBIJCw2buy60ocTEREREbEGDA5mGRoqsGtXntnZKo6jhqjPE0aPQuHTOjuuWTDReL3ceCyHaPm+daSJxeJCCQzDJJXyW9KGa4OLzxDTa77fNeZ/AR4TQvwT8/brSCnb1jAtW0UmhPhlIcSLwG4hxAtNj5PAC5d71BEREREREatBNhsjnba5775Bkkl7iRmgFRZ2ozULG5gvwG7ulltqhpvWsmxoLRBuLxRgiwslIUzy+YAgCKjVWjv41gqxQo+rlv+A+qXHUDnV8NGWdpGlzwH/CPwfwG83vV6UUl7flWAREREREdcsQgj27etlfLzM5s1d1Osunidx3daUWRlVvwTzhd/NjfTN7trNkacFe2tZp9keIPyqs7THk0l3N+i6pFRy0PXVN1puxcSgn/ya73eNyUsp33YpK7arWZoFZoGfARBC9KIUWUoIkZJSnrmUnUZERERERKw23d0J9uxZx/vfv4c/+7OncZyAYtFrScfBvGASKGuBMCoUcGHZc2v0qdWhqNWdG5RQar3czrt+9/SAaQaUSjWCAP71v76Z//gfL/7zXg4OHuev/zTct4UQb5NSfvNiV+zIzEEI8U4hxGvASeCfUEPo/vFidxYREREREbGW7NzZzU039XPffVtIJm3icQ1NWyxyU0YJnHBCQyhmwtRaa4qp2ck7FENW42vrKJNWoRTMLdfdHWCaUCopP6iHHjrAH/7hA5f5qS+FlUrBXdVpuI8BXxdCVIUQBSFEUQhR6GTFTgu8fx+4E/i2lPJmIcR9NKJNERERERERVyumqXPgQB/j49t5+eUJTp0CKatUqzpStnbIVVCXxTiquDusHWqtPQppduJu/hq+Fwopmt4XqDEqVbq6wDRtyuUqruvzkY/czCc/+RNXxNvPRGeA3JruUwiho6aEnJdSvkMIsRX4ApAHngU+JKV0hBA28NeogbeTwAeklKca2/gd4BdRv7B/K6X8xlL7k1KmhRB5YCfzqrgjOhVLrpRyUgihCSE0KeV3G9YBERERERERVzXd3QluuWWAn/3ZffzVXx1GdY7XqNV0gqBVMHkoS4A46noaoERTqzAKv1+u4DsUWaHDd+jLVCCVMrBtk5mZKpom+djHbueP/ujHV+DTXhouPueYXevd/grwCsomHeAPgT+RUn5BCPEXKBH0qcbXaSnlDiHEBxvLfUAIsRf4ILAPGECl2XbJC1UwAEKIf9nY50bgMCoI9N+BtqG8Tj3VZ4QQKdQclc8KIf6UKzhINyIiIiIi4mLYvj3H/fdv56GHbiSfT5DPJ0gktGXmfVZRqTkPlV4zmU+vNX9dDL3lexslkkrALImEMkeena2zbl2cz3zmp6+oUAqRK/ToBCHERuCngL9qPBfA/cCXGos8Aryn8f27G89pvP9AY/l3A1+QUtallCeB48Dty+z2V4DbgNNSyvuAm1G2623pNLL0bpSD16+ipvR2AR/vcN2IiIiIiIgrihCCG27oaXyv8cgjzwMQi7kUCnUcZ7FLfYCy46mjLpcG8x1tzUXioXBqduoWqMxQuL5s7M8gCCAI4P77t/Lnf/42tm698maQJjobyK7U5nqEEE83PX9YSvlwyzL/GeV7FLbudwMzTXNozwEbGt9vQBlKIqX0hBCzjeU3AD9o2mbzOotRk1LWhBAIIWwp5VEhxO5OPlBHYklK2ezC9ciSC0ZERERERFylhILJNHViMYO//duXOHFiGsvSmJ11qNV8fH8pN26P+YRKaCdgND0PMz9+43HhdnRdoGmCjRuzfOQjB/ilXzpELhdfsc93OTj4nKOjWudOmJBS3rrUm40ZbWNSymeEEG8JX15kUdnmveXWWYxzQogs8A/At4QQ06gBgG1pN0i3uMSOOx4+FxERERHxxsNxfCoVj3rdJwgkvh+gaRqaJtB1QSJhEI8baz5mSgjBjh15crkYg4NdfOUrr/Ld755G03Q8L6BYrLcRTTA/N67zapRMJsYdd2zgbW/byn33bWXv3nXE44v5Ll0pBHLtOtnuBt4lhHgQVRiWQUWaskIIoxFd2si8kDkHbEKJHQOV3Zpqej2keZ0LkFK+t/Ht7wkhvtvYztc7OeB2PksdOVtGRERERLyxqdU8JidrTE3VmJxUgkMNKlePkOapXJoGmYxFd3eMfD5GLrd2Mzq7uxM88MB2Nm/Osn9/L//wD0c5cWIW29bwvIBKxaVS8anXL708VwjYvDnD29++k7e+dSvpdIx9+9YxMJC+Ih1vy2Ghs5G1GQkmpfwd4HcAGpGl35BS/pwQ4r8B70N1xH0Y+HJjla80nv9z4/3vSCmlEOIrwOeEEH+MKvDeCfyww2P4p4s55k5rliIiIiIiIhYgpWRmxuHMmSLDwxVAEosZxGIG6bTVdv0gkNTrPqdPlzh+fJZYTGfbtgzr1yex7dV3sTZNnb17e+nrS7F3by9HjozyxBNnOXJkHF3XSKUgCHx8HxwnoF73cByvESlbuC0hwDTBsgy2bMnyrnft4oEHtuH74PsB/f1pdu/uvsqiSfM4+JxZuTTcpfJbwBeEEL8PPAd8uvH6p4G/EUIcR0WUPgggpXxJCPFF4GVUmO9jS3XCXS7iEobvrjm33nqrfPrpp9svGBERERGx6kgpGR2tcOzYLOWyi20bZDLmZUdLHMenUHCQEjZsSLJ9e4ZEYm3EhRJ+Nc6cmeWll8Z55pkhTp+e5ezZWQqFeiOdGDSWVetoGui6RiYTo78/xfbtOW6/fQMbNqSp1XwMQ2Pr1iwDAxf/OYQQzyxX97PS7L71gPzU019bkW09ILas6bGvBVFkKSIiIiKiY6pVj5dfnmJ0tEpXl01vb2LB+0EgqdU8ajWPUslhdtbBdQOklAgBmqYRj+tkMjaJhEk8bmBZKopkWTo9PXGCQDI2VmVoqMy+fXk2bEiuetpKCEEuFyeXi7N7dw8/9mMbGRkpMzNTZXq6xshIiVKpjuf5BIHqarNtg/7+NJmMhWmqy6lpanR1xdm7N01PT2IZa4KrCwudTURlyEsRiaWIiIiIiLZIKRkaKvPSS1PoukZf30KRVC67jI1VGBkpE2YsDEPDsnQMQyCENredctllaqo2F6GJxw02bkyTy8UwDFUEns3aeF7ACy9MMDysRNNaRZliMYPBwRyDgzmCQFKtulQqLjMzNep1VfwdBBJNExiGRiplkU4r8ReLXZuX1To+pyld6cO4ark2f6sREREREWuG5wW8+OIkw8MV8vkYpjkvfGZm6pw7V6RQqGMYGpmM1bZI2zT1BbU79brPa69NI4RgYCBJX1+SWMzAMDT6+pLMzNR54olhDh7suUCkrTaaJkgmLZJJi3Xrkmu677VlTbvhrjlWTSwJITahZrmsRxlOPCyl/FMhxO8B/woYbyz6u1LKx1brOCIiIiIiLh3H8Tl8eIKZmfoCoVKreZw4McPUVI1EwiSfv3S/INvWsW2dIJCMjJQ5f77E9u1ZensTCKGiTK4b8PTTYxw82MOGDamV+GgRTVhobCb6uS7FakaWPODXpZTPCiHSwDNCiG813vsTKeUfreK+IyIiIiIuE9f1eeaZcUoll+5uJYaklIyPV3j99Rl0XZt7fSXQNEEmo9Jvr702zcREle3bs8RiBqap0dMT5/DhCaSEjRujC/tK4hBwmnL7Bd+grFrlmZRyWEr5bOP7ImpY3nI25BERERERVwmeF3D48ASlkks+rwa0+74SMceOTTfqdNrbA1wKhqFEWKXi8txzo8zO1ude7+mJ88ILk4yMRBf2lUY2UnGX+7geWZOaJSHEIGpg3VMo585/I4R4CHgaFX2aXmSdjwIfBdi8efNaHGZERERERIPXXptlclINegUa0Z4ppqfr5POxC7rTHMfDdVXhs+p8U8XPtn3pLt2plIXj+Lz44jh793aTz8cxDI18Psbhw5Pcc49FKnV1+hZda1jobInScEuy6mJJCJEC/g74n6WUBSHEp4BPoPziPwH8J+AXWtdrDN17GJTP0mofZ0RERESEYmqqxsmTBXp7lVAKAsnrr88wPV0nl4shpWR2tsrUVJWxsSJDQ0WmpyvU6z5SyjnnbsPQSKctenpSbNyYJZ+Pk83Gse3OLz2WpZPJWLz88iT79vWQy6kC81hM58UXJ7njjr41H5lyPVLH52SUhluSVRVLQggTJZQ+K6X8ewAp5WjT+/8FWBkXrIiIiIiIy8Z1fZ5/fpKuLmsuenT69CwTExXSaZNTp6Z48cVhzpyZoVJxkVKi6xqGEVoECIRQxo31uk+pVOTcuSLPPjuEZel0dyfYt6+XHTt6yGQujFAthmnqpNMWR49OcdNN60gkTNJpi9HRCmfOFBkcjPyBLh/BKlbmXPOsZjecQFmUvyKl/OOm1/ullMONp+8FjqzWMUREREREXBzHjxdwHJ9MRtUjzc7WOXlyhpGRAkeOjDI2ViQIJPG4SS4XR9O0NoJHFWwHgcTzfMbHy3z726/zwx+eY3Awz6FDA/T2th9Dalk6rhtw/Pg0+/evQ9ME3d0xXnllmp6eeJSOu0xsNAZZW1uGa4nVjCzdDXwIeFEIcbjx2u8CPyOEOIhKw50CfmkVjyEiIiIiokOKRYdTpwoL6pSefPIMTz11mrNnZ9F1QSplY5r6sgIpCAJqNY9i0aVW8/B95qJNQoCuCzyvyszMeU6cmOCOOzZz4439bdNzyaTJ1JRy0x4YSGMYGrGYwdGj09x6a++K/izeaNQJOEHlSh/GVcuqiSUp5ZOwaFl85KkUERERcRVy9mx5TgjVah6PPvoS3/nOSTzPp6srPjeWZCmCIKBUcpmeruH7ShQpF+/59I6UkiCQOI6KNpXLFb7xjdc4dWqKe+/dSl/f8im1ri6LkycLZLMxEgmTTMZibKxCueySTEbRpctBRmm4JYkcvCMiIiIicByfs2eL5HIxCoUan/vc8zz55GmSSZvu7mTbImrX9ZmcrFGpeNh2q0AClUxQM9h0XaDrGlJKXNenUvE5cmScsbEy99+/nd27e5eMXOm6hmlqnD9fYufOHFJKPC/glVem2L69C10XJBImhhFd+C8GC42trJxn1vVGJJYiIiIiIhgbqwJQLNb47GcPc/jwMJlMjFTKXnY9lXLzGRkp4boBpmlQr/uAj+f51GoenhegxJISSfG4GqBrGDqWZWAYahtjYxW++c3XcN2A/fvXLymYUimTM2cK1Os+IyNlikWXmZk6u3Z1YduqGLy/P8GePXnWrbt2htleSRwCTlC70odx1RKJpYiIiIg3OFJKTpwoAAGf/ewRXn55HPv/Z+/OYyu9zjvPf8+73/1yLbJY+yIVJVkqyTW2I9ltwXZsp5PASWc10InjBJP5I+lBY9JAFgTIoJ1ueIBMggDTyLQDG22nO3HS7p623UraVpxIbm+KJKtkSUWVVKVaxKrivtz13c/88d57SRbJkiKRRVbV8wGIKr58ee/hdYn353Oe8xzXxvM2XtbKirWzuiTfj1hYCNAaHMdA6+x6ux0RRSlarwQewwDDSAkCn3o9O0C3VPKwLJNcTtFuxywv+/zd353HshTj4yPrnjuKEiYn67z00gKua9I/mCfSikYI1xYiSiVFo+Vz5UqDH/xgjmPH+nj44VH6+rztevluCxpu24aSW0HCkhBC3OHa7ZilJZ+vf/0sExPTlMsuzWay4dJbGCY0GgFpmoUf308AesXZzaZPsxmhtQGYpKkiSVa+XymNbStA0WjEhGGL/v5853BdE99PCYKYb3zjPPm8y8GDfWvGeebMHNeutUgNxZyvWViIaTUCojDl8kKbvj4Px7XZN5Jn2DE5c2aeK1fqfOAD+zl6tPqmWhXciVwMjiCBcjMSloQQ4g7XasWcPn2V5567Rl9fjjBMMa5buUpTTasV4vsxlmVgWQa+H9Nsxriu2XmcoBeUksQgirL5Cq2Tle0+WpEkCsNQOI4iDDXz8y0GBrLAZJqaKNL4fsQ3v3mBn/qpAvm8g+/HvPDCDDMzPrHtcHUporbYQMVLzMz6tIOYVEPeM9k3UqC2v8yFco6D+0ooI+JrX7vERz4Cx471IdYL0Jwn2Olh7FoSloQQ4g539uw8TzxxAccxyOdt6vXWmgLpNE2p1wPiWOM4K28bzWaEaQIogiCmVgtJEoXWdOqUUlA6e6fpPl6YoDUkiUEQWLiuRinN8rLP4GABxzFpt2PKZY+rV5d55plJHnnkEOfOLTIzExDZNq/PtVmaqjF5tU2sDHQSo5MEnWrCyKDWTnnlcpN9gw6hP0xwoMqhPnjyyUkGB3NUqzKDshHZDbc5CUtCCHEHC8OYL3zheRqNgLGxEkmiO0ts2VRQmqYsLWWFv7a90jogSVLa7ZgkSVleDvD9iCSBNLXIKmASMBUM5VD9brYXTgFBAlMtaCWkaUwYWiilCYKEKEo6s0vZbFc+7/Dcc1colTympgISy2JyLmBhcpFLMyFJHKObAcRhp4kTpACmTejaXEyh/cwUSilcp580CsNdfgAAIABJREFUCfjud6/xkY8ckiNSruNicJQbF/PfySQsCSHEHez737/Kc89NMThYwDQNgiDtfS1NNfV6tjRjWStBSWvNwkKbpSUf0+yGKjp1SgCdZbd9BVTRRjcj0J2ulLYBh8pwuQ71qFMsns0uNZsh1WoO2zZotWKGhvIsLDR54okLHDu2h4XUpLHQ5PJMSOIH6GYr63JZKUC1DIaCVhuWGuhWizBNmabEqy/O4ngOe++tcP78EgsLPoODsk1+tYCUV2UZblMy5yaEEHeoJEl57LFXUUqTz2f/31nrlbDk+xFRpNcEpSTJ2gTMz7cxDEWaQhCkJMnqsKShYKFKNroeZdM9unMeepRCM0aN5sEArRPS1CBJoN0O0VqjlEGaZkt5jmMzPd2g3o6p1wPmZpokSZoFJdOAg6PQX4UognYArgP7R6FSQLcDolaTyRmfVr3JXDOl2Ux45ZXFm/QK3zo0Co2xJR+3I5lZEkKIO9TlyzVeemmWfN7pXetlmiih1Yqw7ZW3iW5QCoIYgDDMbl7po5T1UgJg0EP7K8FrVYU3JCnasiFnQTPtPKfRaTWgezvWshkniGO4OLmM7eVYbqWkQZANdHQQkgSihG7TS8IEwiYMDUL7KqkfEeY001caXB5sMXAoz+Rkdr6dLMWt8FAcx3njG+9QEpaEEOIO9Xd/9xqNRkQut9JPqXt+W6sVYRiK7k57rWF2to3vx53jULLjSrKQ0g1LEVkoSkAnEHUCzAazDYpuX58sYCmle/2but2/tdaEoca2DeZmGhQqKQkGRDG4NrguNK8/z6wT2KIwW56brZHGMdeutTh0V0iiCtTrEe12LMejrOKjeYVop4exa92e82VCCCFuqNkM+d73XqdYXDuboFQ2gxRFyZrlt0YjoNkMME2DVishTXXnnLeElbBE5+9APcymhIII0njleodWQJJCLzBlR6HEcffv2dlyWmc78MIwot0IgARSDVa3kLw7O6RYcxxpFIPngU5Bp9msFfR26iXJ2vEI0FptycftSGaWhBDiDjQ312Jx0adQsPD9sHddKfD9eM0SVZqmzM+3MU2DdjvpNJnUaB2zEpJgTSBaDrJltlSDH2eF3bYFKHBMaCfgJ6CNzuxVimUpkiRBawut6RxTojCMLEhFQYzSVtYNU69+Xq4bB6CMrOpcZSFKmdljKEVnxuz2fFN/q1wUx5GZts1IWBJCiDvQtWt1Go2Avj4P04x7NTxKGYRhQi63MuPUbMYkSYJSqlPIrUnTeOMHNjuzUUkC8z4UrCwoRSmYCZRyKK3RFxt0+wlYVhZ0PM9CKUUQJFgWWJaBbWdF5JZtEIcJ2iDb9dbu1C31ZpdWhyWdFXrPzAEKZRiUCzZKKQw0uZzZa6QpMgGaV/Qm/5sKCUtCCHEnevnlOZQysKwsOIRhguNksy3duqWuWs3HMK6vU7puJse2oJinF1ySFMIIlkPwbOizsy/NtdCLIcQp3bcgrVNME3I5u1OnFDM0VADAcUyUAs82aEQpTpqQ5tysyHt+CQb7s3YBelUBuedmu+PqbZTnYToW+w+Ws0N1dUq16uE4EpZW0yhSLZU5m5GwJIQQdxitNefPL/YCQy5n0G53ZxVSTNPo7UrTWhNFCYZhdJbINEly3QyEZUK5AEG49rptZ6mr4UOj28PH6Hxkbz+GkdU75XIuShlASpJoikW78xAGtm2QpBqNploxmK4ZWSBarmfJbqDaW25Dqazoe3oBTAunmKPsKCqDRQ4MuMRRyIkTcuTJ9TzgbiWRYDPyygghxB0mTTWNRtipCcoaTupODVAUZbvRkiTFskyiKAsvqtNTMvu4blapkINwgyUcnWahJoxYc5pu760nOxJFKZNCIeseHccprqt6x62YpkGhYGVLc4aiWM7R8gMaxQKxBpYbsNyEnEO2Cy7OZrVMC6dSwLEt7ru/n0pfDpuEwT15xsaKW/Za3i58DS9fH4JFj4QlIYS4w3S36HcPy119DpzW2dJXq5W9ca4OShtTWcF1stG2c521EHAcaLdZqS1aeVM2DHBdA6UUaZqiFJRKa4/dKBZtGo0Qo5VSqebIFT0unV+iXiqi8jnitg9xJ4xZJlYhh+m55GyDk+/oZ3BvHyf25TBIec97Rta0ShArtCzDbUrCkhBC3IFWzw5ZlsLzslmk7HOjt21/S/Tqn1a3F1Cdeimj07FbE0UpAwNe7wiVLtM0qFQclpcDylaKGqgQJ5q4HTI7F9ByiiRpFryUCTml2Dvqsu9glf49Fe4/UsSIIu57cIhjx6pb8zPdZjwUJwyp49qMhCUhhLjDGEYWVNJVO/3LZZeZmVavsDuXs2g0ot7s0+Y77XW23LbZ9JMyIGyvu2yaZq/ppdaaOE4YGPDwPIswTNbdn8tZFIsWrqUomjHmSBEj7zHa8GkuNGm3I8plF8cxKQ3myBVyjA7n2Vs2UHHEfe8Y4L3v3dtbehRr+Wgm4vWvu8hIWBJCiDuMYShyOZN0VVpyXbMXJNJU4zhGrzFkt89RNzB1C797mj6UChBeV+BtmVmvo+vehI3ODEZ2lInG80wGBz0cx0JrjWGw7iiSJIFCweYd7xji6tUWw7bB4KBFOFxmsuxSKLnkCzaObTBQsqi6iiSMybuKhx7ay0MPDeO68pa3KQ06lSC5GfmXI4QQdxilFEeP9nP69HTvmmFAqWSxsOB3PjcoFGwajQjLMonjBMNQnZkmkzheVQwcxdBoZYXeq7tqJynUGtc9u9FrTZDNcCmGh7OgBNnhvra9fjkojhNyOYvR0RIjI2UqFYfXX6+zuBjQpxJO7HOwbaPTATymmHM4cHc/J08OsWdPQZpQvgFPKcYtCUubkbAkhBB3oBMnBknTdM2BsoWCzdJSiNbZ7JLrmgRBSqHgsLjYwnEM0jQh3WgGIoyyD8vsnpmSde9eJyvmtm2DfN7ANI01DTC1ztoFXC+OU/r6ciSJ5v77B+nry3H33QNMTtZxXZP+fgetNfm8zZ49Bcplh3LZkZD0JvkaJuItqlF7A0opD/gm4JLlkC9prX9PKXUY+CLQD3wf+AWtdaiUcoEvAO8E5oGf01pf7DzWbwO/AiTA/661/tp2jFnCkhBC3IHGxirk8w6+H5PPZ7vDLMtgYMClXg+J42wprli0CAKbpaUs4GStBMCyHOI4XP/AN6h7USprCZAtAxqkKfT1eWsCjdZ6w7AUhgmFgs3YWIm+vlznXhgYyPG+941Kk8mtkN60YBkAH9BaN5RSNvAtpdTfAP8H8Eda6y8qpf5fshD0J50/F7XWx5RSPw/8X8DPKaXuAX4euBfYC/ytUuourfWWF1/JnJsQQtyBBgY8+vs92u21gadQcKhWHcJO3yTTNCiXHUollzhO8Dyjd6KJZTnXP+ymDMPANLMjRxwnewzbNiiXV7bxx3GC41iY5trgk6YJYZiwf3+FgwfLQBaqlpZ87r+/X4LSVtBkYWkrPt7oqTLd9Vm786GBDwBf6lz/PPATnb9/rPM5na9/UGUJ+2PAF7XWgdb6AnAOeNcWvBrryMySEELcgUoll4ceGuWrX32Vvj7W7HrbsyfP3FybKEqxbQPPs9izp0C7HRFFCbmc2TtQ17KcznJewrojUMhmk0wzO0DXNFWvTUEcJwwP53vF3pAt/Xne+relej2kULD5wAeO9uqZFhcDDh4sMTSU346X547jGTDubNnM0qBS6plVn39Ga/2Z1TcopUzgWeAY8O+A88CS1r0D6iaBsc7fx4DXAbTWsVJqGRjoXP/eqodd/T1bSsKSEELcgZRSfOhDR/jGNy7QagUUiyuNIG3bZN++Ehcu1CiVLAzDIJ+32bevwqVLS6RpSj5v0m6npGk2a7RSx7Q6MGU76JRSGIbCtleC0sBAnnze6X2P72cF5GGYEoZpJ2RljSrb7Yh/8k8OsW9fNqvUbEZYluKuu6Rn0lbxU5gI3vi+N2lOa33qRjd0lspOKqWqwP8HjG90W+fPjVKcvsH1LSfLcEIIcYc6enSAu+4aYHl5/bvkwECO4WGPRiPunRNXqbgcOlTFNE3SVFMoWLhuVqRtWaoTirLPDSOrTTJNA9tW5PMGjqNIkpSBgQLVarZzLooSarWIRiMmTemFJd9PWFjwWVoKUcrgvvtGAGi3Y4Ig5tSpYVl+22rpFn38I2itl4AngPcAVaV6B9TtA652/j4J7AfofL0CLKy+vsH3bCmZWRJCiDuUZRn8yI8c5fnnZ/D9eM0SmFKwb1+Jdjum2YwoFLJ6o3LZ7exCq7G05GNZ4DgWaapJkrRzBJzuzQxZVtaTKevdZDI4WMTzsvvb7Zgw1EBKoWChNfh+TBynaE3nWsrQUAnfT3n22WlGRgo8+ugYpdKbr5cSb8xTMO6+8X1bQSk1BERa6yWlVA74EFnR9t8DP022I+4TwJc73/KVzuff7Xz977TWWin1FeDPlVJ/SFbgfRz4h+0Ys4QlIYS4g73rXfs5efI8zz8/zf791V7tEmTF3UePVjl/folmMyKftzEMheOYHDpUpV73mZ5u02wGnfuzcJTRgCZNs4aX5XKOYtHqHW3SnbHqNsYMguzPNM1mp3I5izCMCMOYU6f60BqWl0NGR/PrjkMRb5+fwoR/055uFPh8p27JAP5Ka/3flVJngC8qpX4feA74bOf+zwJ/ppQ6Rzaj9PMAWuuXlFJ/BZwhO3Dw17ZjJxxIWBJCiDtaLmfzy7/8IL/7u3/PwkKTwcHCmq/btsmRI1UuXVqmVovwPAvbzpbYKpUcxaJLux1Tq4WEYUza6a1kWSa2beC6Jpa1slymtabVitE6JYo0aZpg2zZxbBEEeaLIwjCgVgOt29x7b4FcLsfrr9d5+OFRymWHp5+e4pFHxmQZbqvdnDZLaK1/ADy4wfXX2GA3m9baB35mk8f6N8C/2eoxXk/CkhBC3OGOHRvgp396nM997jmKRXfdjjTHMTl8uMrsbJvp6QZRZOB5Zq8mqVh0yOdt4lh3ltGSNefOxat6L7XbCa1WDGi0VnieS7NZpNUyCMOANPU73xNj2yaXL1epVot8+MM5pqaa5PMWrmvx8svz3H//8M14ee4IngHj3k6PYveSsCSEEHc4pRQ/+qN384MfzPL001cYGyutm7WxLIORkQKlks3Vq3Vqtag3c5Qdg6JwHIXjOL0apSTJji/ROu0UbydEUUql4pAk4Lo2c3MFarWAMPTRWpGdopIt4VlWnlqtyZkzYNsWH/qQy4ULyzzwwBCTk00OHgyoVG5Soc1tzk9horXTo9i9ZDecEEII8nmbf/Ev/hfGxwe4cqVGFK0v/VAKikWHY8f6OX68Si5n0mxG1Gohvh93+i2lnd1zWe8m08xaC1iWgec5DA8XKRYdXNekXs+xtBQSBBFRlB1pkokAhyAwqNdTFhZavPDCIj/4gcayDGZm2riuweRk/aa+Rrc9vUUftyGZWRJCCAHA8HCRf/WvHuEP/uDbnD07x8hICddd/zaR1Su5lMsuQRDTaITMzfn4fkKaphjGSs1SPu9gWSaWpZibCzBNxfJyBJgsLxtEUcjqM3mzoOQCOUARBCFK2dh2jZdfLnPffR7T003GxopcudLgnnsG5Py3LeAZMJ7b6VHsXhKWhBBC9IyNlfnN33wff/RH3+H06Sn6+3NUKjk2yiNKgedZeJ7FwECeKEqIIk0QJARBTBhmM0VJkvVT8v0Yw1AEQUIUOfh+RJIosuY8uvOnC+TJ+g1mfQd9PyYMLaam6ly54jI8nDWm7LYf6J5tJ946P4GJ5k6PYveSsCSEEGKNkZEiv/M7/4QvfeklHnvsVSYnl9izZ30d02pKZYXgjpP1RwKXNIUka7xEECRo3T3+BOp1D8MIyAJRd8kvDzisNGbuBqaUKEpotwOWlmDPnmzJTqkseElY2iK36RLaVpCwJIQQYp1KxeOTn3yIU6f28tnPPscrr8x3Dtn13vSWfcOgd/ZbmtJrIZCFnJQwjEjTmOytKMfmb0mKboDqtibIgtdb//nEWp4B44U3vu9OJWFJCCHEhgxD8cADo3zqU3189atnefLJi0xO1rBtk0rFJZ93MIw3l1iUojM7FDM/38QwFPm8i+PkqdXgxvuNshYFjmNTKCi0zhpgaq2wLNmntBX8FCYaOz2K3UvCkhBCiBuqVDz++T9/gB//8bs5ffoq/+N/nOfs2XlmZ1udlgEWnmdi22bv4FytNUmiCYK4U8OUsLgYMDycZ9++vdxzzxiPP6555ZVrBEFKEHSrvLvno66sCVmWgW1Df3+RgwcNkgQKBZtGIyKfl7exLdEtGRMbkn9lQggh3pRKxeP97z/CI48c4vLlJS5eXGZiYpYLFxaZnW3Sbsed/koa01TYtsnQUIG9e0ucODFAFCmKRYdmM2Z5OeD4cYOrVz3C0O9084brD5NXCkolm2LR5dixHJYVU6l4JAkMDuYwTZlZ2gqeCePFnR7F7iVhSQghxD+KZRkcOdLPkSP9fOADh0mSlFotoNWKSJKsAWU3LFWrLp6XFWAvLLR56qlrjIy4zMy0ePBBm6tXhzl7dgrDUPh+SqsV9vo05fM2rmtSqVgcPTrEQw+Z+L7PsWN9tFoh9947sMOvxO3DT2CittOj2L0kLAkhhHhbTNOgry9HX9+NG/X09Xn093s0mzEjIwWmp5t85CMeljXKa68tUavVyec90jQrDnccRblc5ODBKh/8oItlBfT35zBNqFRc+vvlfI4tJbvhNiVhSQghxE2hlOK++4b41rcmGRsrEkUp8/NtfuzHPC5eHGRiosq1awFRlGJZipERjxMnLI4eNQgCn3LZY//+MvV6xDvfOfKmi8vFG/MMGC/t9Ch2LwlLQgghbppCweahh/bw9NNTHDpUIZezuHq1wdgYHD5skyQucQyWBYaREEURQQCjo0VGRwvUaiEPPTRMqeTs9I9yW/FTWYa7EQlLQgghbqqhoTzvetcIp0/PUi47jI7uYXExYHKyThxHAMQxOI7BoUMV+vo82u2Ydjvh1Kk9DA9LQ6AtJ7vhbkjCkhBCiJtucDDP+943xrlzS1y+XMc0FXff3YdtG72ape7RKbVayNhYgbvu6sfz5G1rO3gmjFd2ehS717b9q1NK7Qe+AIyQ5dXPaK3/WCnVD/wlcAi4CPys1npxu8YhhBBid3Jdi3vvHeTo0Sqzs20WFnyWlgKiKME0FdWqy+BgnsFBj1xOjjTZTn4CE0s7PYrdazsjegz8htb6+0qpEvCsUupx4JeAb2itP62U+i3gt4Df3MZxCCGE2MU8z2L//hL790uF8Y6SZbhNbVtY0lpfA651/l5XSk0AY8DHgEc7t30eeAIJS0IIIcSO8UwYr+70KHavm7L4q5Q6BDwIPAXs6QQptNbXlFLDm3zPrwK/CnDgwIGbMUwhhBDijuTHMCEFMZva9j7xSqki8F+Af6m1ftMbE7XWn9Fan9JanxoaGtq+AQohhBAi2xG3FR+3oW2dWVJK2WRB6T9prf9r5/K0Umq0M6s0Csxs5xiEEEIIcWOeBeN9Oz2K3Ws7d8Mp4LPAhNb6D1d96SvAJ4BPd/788naNQQghhBBvzI9hYn6nR7F7befM0iPALwAvKKVOd679DllI+iul1K8Al4Gf2cYxCCGEEOLNuE2X0LbCdu6G+xaw2cE9H9yu5xVCCCHEP45nwnj/To9i95JWqEIIIcQdzo9hYm6nR7F7SVgSQog7jO/HzM21CIKEOE5JU41pKkzToFCwGRjIYdvmTg9T3GzSlHJTEpaEEOI2NzfX4sqVOpcv15icrLOw0CZNQSlQSqF1t1hFARrDUAwN5Tl4sMzYWNZZu1z2dvJHENvMs2B8cKdHsXtJWBJCiNtQHCdcuLDM9753hYsXl1FKkcvZFIs2Bw5UyDYsbyxNNc1myOnTMzz11DWUgnvuGeTUqRH27y/f8HvFrUmW4W5MwpIQQtxGfD/i2WeneOqpqzSbEeWyy6FD1XUBJwhiwjAhSVK0zmaZTNMgl7OxLINSyaVUcoEseJ0/v8iLL84yNJTn4Yf3cd99g5jmtvc1FjeLRpbhbkDCkhBC3CYuXVrmK195laUln+HhAsPDRQC01iwv+8zPt5idbTAz06RWCwjDmO4KnFIKpRSua1Cp5Nmzp8DQUIHBwTz5vMPoaHbI7fJywH/7b6/w/e9P8eM/fozBwfxO/bhiC3k2jMthGZuSsCSEELc434948snX+d73rjAwkOfw4awVcxwnTE3VmZiY48qVZYIgxjRNLMvE8wyKRY/VE05aQxQlTE83mJxcRuuUfN7h8OE+7r57iIGBPJWKS6XiMj3d4N//++f44R8+xDvfOSqzTLc4P4KJ6Z0exe4lYUkIIW5hU1MN/vN/fplaLeDgwQqWZZIkKefOzfPii9MsLLQxTUWh4FAuexjGjeuNbNsgn7eBrHbJ92NefnmWs2dnGRoqcvLkKPv3V9izp0gQRPzN31xgYmKef/bP7u4t24lblDSl3JSEJSGEuEVdvrzMn//5S+RyDgcPVgFYWvL5h3+4zKVLy7iuRX9/7i3P+hiGIp+3yedtoihlfr7F17/+KuPjQzz44F7yeYejR/u4cqXOn/3ZS3z84/fQ1ye75m5FngXjwzs9it1LwpIQQtyCLl1a5j/+xxepVnNUKi5pqnnllVmeeeYKvh/T15fDsrZuacy2Dfr6cgRBzEsvzXDlSo13v/sABw5UGBsrMT3d4POf/wGf+MT9EphuQX4EE1M357mUUvuBLwAjZGXln9Fa/7FSqh/4S+AQcBH4Wa31Yues2T8G/inQAn5Ja/39zmN9AvjdzkP/vtb689sxZllkFkKIW8zVq3X+4i9eoq8vC0pRlPCd71zim9+8iNbQ35/fMChprYmihFYrZGnJZ3a2yfR0g6mpOtPTDebmWtRqPr4fE0XJhs/tuhaDgwVarZjHHz/HSy9Nk6aaPXuKJAn8+Z+foV4PtvslENtBb9HHG4uB39BajwPvAX5NKXUP8FvAN7TWx4FvdD4H+BHgeOfjV4E/AeiEq98D3g28C/g9pVTfW/3xb0RmloQQ4hbSbIZ88YtnOjVIWVD69rcv8corc1QqHq67/td6VnsU0WxGxHGKUtkSm2kamKa67r6YVitGa41tmxQKNq5rral1MgxFterRbIZ897uTRFHKAw+MsmdPgStXanzpS2f5xV+8T4q+byGeDeMjN+e5tNbXgGudv9eVUhPAGPAx4NHObZ8HngB+s3P9Czrrnvo9pVRVKTXaufdxrfUCgFLqceCjwF9s9ZglLAkhxC3k8ccvEIYpw8NF4jjhqade5+zZOfr6cjjO2iNKtNa0WhH1egiAZSk8b/Nf+9mRJyufJ0nK8rKPYRiUSg65nL3m/kLBwTDgmWeuYtsG9967h7GxMq+9tsjTT1/jPe8Z27ofXGwrP4KJa1v2cINKqWdWff4ZrfVnNrpRKXUIeBB4CtjTCVJora8ppbpVVGPA66u+bbJzbbPrW07CkhBC3CLOnp3j9OkZDh/OirlfemmGM2dmqFbXB6U4zoJOGCY4jvmGu+A2ks08GSRJytJS9ljForNmxiiXc0hTeOqpSUolj4MHq+zbV+Jv//YiR45UGR4uvL0fWtw8W9eUck5rfeqNblJKFYH/AvxLrXXtBp3hN/qCvsH1LSdhSQghbgHNZshjj51nZKSAaRrMz7d49tmrFAoOrrs2KAVBzOKij2Gw6UxSqxXRbIa02xGQdfDO5x1KJQfHWfs9pmlgGArfz7p+X188Xig4xHHKd797maGhrIllPm/z2GPnZTnuFuHZMD56855PKWWTBaX/pLX+r53L00qp0c6s0igw07k+Cexf9e37gKud649ed/2J7RivhCUhhLgFPPnkZXw/ZXi4W6d0GdC9nkhdvh+xtORjWca6kNJux1y7tszMTIswTNBar+rgTadBZbZUNzZWYs+eIpZldr6ucByTOE5ZWGjT3782MJVKLnNzTZ599irvfe9BhocLvPbaIs8/P81DD93Ed2HxlvghTFy9Oc/V2d32WWBCa/2Hq770FeATwKc7f3551fVfV0p9kayYe7kTqL4G/NtVRd0fBn57O8YsYUkIIXa5ZjPkueem2bs3O3LkzJkZpqZqDAzk15z5FkXJhkEpTVMuXVpkcrJOkujeOXAbrWKkaUq7HXHu3AKXLi1z9Gg/e/YUe1+3LKMXmAYGVno4GYaiUvF4+eVZDhyocvBgleHhPN/+9hVOnhx5S8uA4ia7eWfDPQL8AvCCUup059rvkIWkv1JK/QpwGfiZztf+mqxtwDmy1gGfBNBaLyilPgU83bnvX3eLvbeahCUhhNjlzpyZ7e1Oa7cjXnhhmnx+be1Q9/y3bp1RV7sdcebMNPV6hFL0ZoM2qw8xTRPdmW6KooSXX55lZqbJ+Phgb5bJsgzCMKFWC6hWvd5jua6FbcecPn2N/fsrFIsur722xOXLNQ4dqmzLayO2hmfD+N6b81xa62+xcb0RwAc3uF8Dv7bJY30O+NzWjW5jEpaEEGIXS5KU733vWu/A2kuXFmm1AgYHi2vuazRC4livqV9qtSJeeGGKdjvGNFXvsFzIwlWarq2FVUphGCv3mKZBmmadu198cZr77tvTC0yOY+L7Mb4fr9klVyw6zM42mJtrMjxcpFCwefrpqxKWdjk/gonJnR7F7iVVd0IIsYtdvlxjcbFNsZh16Z6YmMVxnDXLWnGc0miEOM7Kr/QkSXjxxWna7RjLMlDKQClFmmqSJCWKUuJYr/mIopQwTEiSFK11JzxlvZiWlgImJmbXjM1xTOr1cE3oymauFBMTWW3u4GCOs2cXWFryt/eFEm/PVjWkvE3Pl5OZJSGE2MUmJuZ6MzczMw3m5trrjhNptcI1M0IA588v0mpFnaCUXU+SLCDdiNYQxxqlNJZl9EKZYWgWFtpMTdUZGSl1rimiKCEI1s4uFQo2ly4tUa8HvcN1L120jq0WAAAgAElEQVRaplqVY1B2K8+B8X07PYrdS8KSEELsYpcu1SiVHCA7OBf0ml1oaappt2Nse+VardZmaqqBsWrtYH1QiinkQmwrARRoTRBatEMXMNAaoijFtrPAZBhZv6Xz5xcZGMhj2yv1S81mhOdZa2qXajWfubkmpZJLLmdz+XKNBx7Ys02vkni7/BAmXn/j++5UsgwnhBC7VBDELCy0yeezsDQzU8e2rXX3pKleM6s0OVkjTTWGsbL0thKUNIVci3KxTRwrGi2796GUplpq4DkrS2ZxvLIkZ5oGUZQwNdXofd00DeI4IY5XtlJl4cpkZia7r1i0mZysb/XLI7ZaukUftyEJS0IIsUvNz7fROgsfYRizvBysqUuCbMfa6vPdoihhYcFn9Wa3NF15ByvlWoCm0XAJIos4MYkTgzg1aQU29aaLY8e9wKQ1a2qSlIJr12rrxnr9wbu2bTIz0wQgn7dZWGgTBPFbfi3ETSA1S5uSZTghhNil5ufbvb83mxFBEFMur637CYJkTauApSWfJEkxzWxWSWtN0skxlhWCoWk3HdJNdm4nqUGzbVMqhPihDZgkicY06c0u+X5Cux2Ty2VvIVmYS8nnVx7H8wxqtYAwjHEcC61hbq7N2Fhpa14csaU8G8b3v/F9dyoJS0IIsUstLPi9+qRmMyKKkjW74LKdbWtrmOp1v9eVu3tPV86JCAJr06DUlaQGQWCSd0NaQa43u9R9bq01jUbQC0vd5bnVLMuk1QpotSIcJ6tnajTCt/ZCiG3nhzBxeadHsXvJMpwQQuxSq8NRFMW9Jbmu6/skQRaquseWAL0Gk6CxzIQ4fnO/9qPEwHFXls30qgSmdbYDr8swFEmytliluwyYJLoz1nTdPWKXkZqlTcnMkhBC7FJRlPZ2tKXpZl231wamzVsDpKRaveGsUu9RtYG6wb3dELT2e9YWmqfpSuNLw1Ckt+kb6e3Ac2D84E6PYveSsCSEELuUaarekpqx6YTQ2kBzo/tMBQqNRnW+7wbVuEqvWc673kbPs1GYW1m6g01OWBG7gB/CxMWdHsXuJctwQgixSzmO1ZuNyYKTXrMcloWPtYkml7M6Ief6pGOQajDN7vTOjbct2UZKEm+cbpQC111pQnl96wKgs2S4dtlwdW2V2GU0sgx3AzKzJIQQu1SxaBPHWeF0LudgmiZpqnutAro73lYXX5fLHteurfRB6jaTBPBDG9dJidsmN2IArpPQaLurHmcl9ChFrzM3ZGHJcdY+ZpIkWJaJ5628zbiuvOXsVp4L44d2ehS7l/zLFUKIXWpwMN+r+SkWHVzXJI7XtgpwXWtNIXi57HUCVIppmp1jULKZHj90qRYbuLYiiDb+9W8AnhuSaoMkzWaPum0DssN3s8fN51dmlpIkXfM5QBCkFIvuqrCkGRzMbdErI7aaH8DEazs9it1L5kSFEGKXWh0uPM+iXHYJgrXrHLZtrNllls/bVCouabqyg22laaViqZEn58bkvRDLTFBosqNvwbYSCnkf04J6a+W5DWP18SowPJxfM9MEqnf8SVcUpQwN5VFKEQQxhYJNobA2UAlxq5CZJSGE2KWKRYdKxaXdjsjlbAYHC8zNtdfc47oW9XqwZifa3r1llpZ80jTFMAxM00DrpNOc0mSpUcB1Qor5EK0VaIVpaGKtCEMHP1xZYrMshWF0m1umGIZibKzS+3pWr8Sas+m01kRRwvBwAYB6PWTfvvImu/nEbuC5MH54p0exe0lYEkKIXWxsrMTlyzVyOZuxsRIvvTTV6aidBQ/LMnpLcd3ZnaGhAtWqx+Ki39u1Zlkm0A1MBkHoEYQekGAoTaoNrl9ssCy1ZslPaxgdLa5ZcovjhELBXROEwjA7gHdwMAtLzWbIoUMrAUvsPn4AE+d3ehS7lyzDCSHELnbXXf29ztejo2UqFY92e20n7HzeXtf36Pjxwd4SXXc5zrJMLEtdt4XfJNUWq98OTDObKeoGJa01cZySz1scPdrXuy/bnUevk3dXqxUxMlKkry9byksSLcec7HZbdS6cnA0nhBDiZjt+vA/HMQnDGM+zOH58kGefvUKh4PRmcxwn23UWhklvV1o+b3PixCAvvTTbOysOspki0+w2jLy+67ZCKbXmWBOAOE5xHJN77tmDaa7UJoVhSqHgrJl9SpKUKIq59949GIZiaclndLTI6GhxO18m8TZ5Lowf2elR7F4SloQQYhfzPJsHH9zD978/zb59ZY4e7ef556cIw6S3FV8pRbnsMjvbWtNGYGCgwL33wsTEHHGcdvoeGb1AZBgbtxDohqQ0TUnTbObo3nuHKRad3j1xnGJZxpprkM0qlcsuo6PZTNLiYpuf/Mm7pF5pl/MDmDi306PYvWQZTgghdrmTJ/cQhglaayoVjyNH+joF3CtrHqZpUKm4vfu6BgYKPPTQXqrVrGg7SVKSJOk1uOwupWUfutceII5TtIbh4QIPPriXYnFtX6UkSalU1tYqJUlKux1y7717cF2LMIxxXZPjx/tvwqsk3jZpSrkpmVkSQohdbni4wOHDVWZnWwwPFzh1ah9Xr9ap10MqlZUQk8vZxHFKoxHiumYvyOTzNg88MMrsbJPJyRqNRkgcZ+9qqyd8ukeSGIaiv99j374y/f35NWNJU00YJlSr3pp2AVprlpfbjIxUOHFiCICpqQbvfvdeaUZ5C/BcGD+206PYveRfsBBC3AI+9KGD/OmfPk9fn0ex6PCe9+zjb//2NYLAwnVXQkt3WazRCHEcs7ckp5RieLjI8HCRRiOkVgtYXvZptyO0zpbuCgWbSsWjXM6tK9qGbj1SSrXqkcut7ZnUakUYhsEjjxzAtk0ajQDPs3jPe8a28VURW0WW4W5MwpIQQtwCRkdLPProAZ544jJHjvRx6FA/x48v88orswwOFnutBJRSlEoupqmo1UIMg3UNI4tFh2LRYe/eN7dDrds3SSmDgYH8uqNNoiilXg/4oR86wMBAniRJmZpq8vGPj1MoOJs8qthVumfDiQ1JWBJCiFvEww+PcfbsAnNzLQYH87z73fuo1QJmZhr09+dXdeqGfN7BdS1qtQDfj7Es4x99kG23ZUCSaPJ5m1LJva5zd1bovbDQ5O67B7nnnmEArlxpcPLkMHffPfj2f2hxU3gejB/f6VHsXhKWhBDiFmFZJj/2Y0f50z99nlLJJp93+MAHjvD1r59jYaG1LjCZpkG16hGGCc1miO/HKEWnfYDacIda1lJAd45QUeRyFvm8vW52CrIZpfn5FkeO9PPwwwexbZPl5QDPM/jhH5Z20LcS34eJszs9it1LdsMJIcQtZHS0xI/+6BFef71GFCWUSi4f/vAxhocLzM83CcNkzf1KKVzXor8/z9BQobdEF0UpQRCv+4jjFNs2KZddhobyVCrehkHJ9yMWFpocPz7A+99/GNe1aDQCFhfb/NRPnZDlt1uRNKXclMwsCSHELead79xLEKR8/esXOHiwQqnk8qEPHeOpp17n/PkFXNeiWHTWLZllS3EOhYLTaRGgey0DsoaUrGkwuZEk0dRqAVqnPPjgXk6e3IvjmDSbITMzLT7+8Xs4eFCONrnVeC6M37XTo9i9JCwJIcQt6Id+aAyt4fHHX2P//jKFgsOjjx7h4MEqTz01ydxci0rFxXHMDZfblFJrluzeSJpqfD+mXg8YHCzw8MP7GRkpoZSiXg+Ym2vzcz93Qnoq3aJ8HyZe3ulR7F7bFpaUUp8DfgyY0Vrf17n2fwL/KzDbue13tNZ/vV1jEEKI25VSikce2YfnGfz1X79GuewyMJDn6NEBhoeLPPPMFS5dWmR52Sefd8jl7H9UOOpKkpRmM6LVisjnbR58cJT77x/F8yy01ly5UkMp+IVfuJdDh6rb8JOKm+Y2XULbCts5s/QfgP8H+MJ11/9Ia/0H2/i8Qghxx3jnO/cyOlriq199lQsXlti3r0Sp5PLoo4dZWhrl1VfnOHdunrm5JrZtYNsmjmNhWWrdklt3aS6OE4IgJQxT0jShr8/j5MkRDh/up1TKmmC2WhFXr9Y5caKfj370KNWqtxM/vtgingfjd+/0KHavbQtLWutvKqUObdfjCyGEyOzdW+KXf/kBvvOdSb75zdcpFh0GB/P09eV417v2c//9o0xOLjM5uczcXItWK6Jej0mSbCqh27lba41lmbiuSaXiMjBQ4MCBCqOjpV6Rd9ZDqYHWmp/4ibt44IFhOfftNiDLcDe2EzVLv66U+kXgGeA3tNaLOzAGIYS4rdi2yfvff5Djx/v52tcucOHCEo5jsmdPAc+zOHZsgGPHBjq1RxH1ekizGZIkCUkCppm1JigWXYpFB8+z1oSgdjtidrZJksD4+AAf+tAhmU263cgy3KZudlj6E+BTZP+TfAr4v4Ff3uhGpdSvAr8KcODAgZs1PiGEuKXt3Vvik5+8n6mpBqdPT/Pcc9PEsaZcdimVbBzHIp93yOdvvLVfa027nYWqRiMkn7d53/v28453DEtIug15HoyP7/Qodq+bGpa01tPdvyul/hT47ze49zPAZwBOnToleVfcMbTWJEn39HcwjOxg0zfa0i3EaiMjRT760SLvf/8Bzp5dYGJinitXavh+itYphmHgugaGYaAUpGn37LcErTWgKJcdDh4sc889gxw/3odlre+3JG4Pvg8TEzfnuTbZANYP/CVwCLgI/KzWelFl05t/DPxToAX8ktb6+53v+QTwu52H/X2t9ee3a8w3NSwppUa11tc6n/4k8OLNfH4hdhutNb6f0GrF1GoB8/MBi4tBr5Ykm4TNlkJs26C/32NgwKVYtMnnLTxPun+IG8vlbE6e3MPJk3vQWve2+U9NNajXI8IwIUk0lmXgOAb9/TkGB/MMDeWksaTYLv+B9RvAfgv4htb600qp3+p8/pvAjwDHOx/vJluhencnXP0ecIrsF+WzSqmvbFdpz3a2DvgL4FFgUCk1SfZDPaqUOkn2g10E/rften4hdrMoSpidbXP+/DKLi9kxFL6fEobxukaBhqFwXYNCwabRiLh8uY7jZLNM1arL0aNlBgY8mXkSb0gpRbnsUS57HDnSt9PDEbvIzVyG22QD2MfIMgPA54EnyMLSx4Av6Gy683tKqapSarRz7+Na6wUApdTjwEeBv9iOMW/nbriPb3D5s9v1fELcChqNiMnJBi+/vMDsrE+zGWOaAFn3ZNc1sW0TpbLdSZDtVArDlHq9RZrqztcU/f0eWsMzz8zgOBaHD5cYHc2Tz9s7+SMKIW5BW7wMN6iUembV55/plNbcyJ7uypPW+ppSarhzfQx4fdV9k51rm13fFjKHL8RNEMcpZ88u8sIL88zOtkkSjW0b9PU5YCsiSxMaCYtGTKxSks62FBMDWyuKqYmX2FiJwkwVaaqp1UJmZ9vkchYjI3nOnl3i1VeXufvuKgcPltYddSGEEDe2ZeXBc1rrU1v0WBv9ItM3uL4tJCwJsc0WFwOefHKSV15ZwnXN7AT3gknDjThvtmiEIcu1gKWlNs2FkFY9JE3SrLjbVBi2wi3ZDAzk6O/P0VfIMUqOkmVRKNiEYcLFizWUUhw4UOLMmUWuXWvxjnf0UypJzYkQ4o3tgt1w09265s4y20zn+iSwf9V9+4CrneuPXnf9ie0anIQlIbZJkqS89NIC3/rWNRqNkIFBD100WLBDppMaV1+vMf1ag6V5nyROO/VJ2UGmRqf8KCFbhmvMhky/UgetsTyD4kiOo8f6uataZdj26HM8kiTl4sUalUp2qvz//J/XOHGiyuHDZWkaKIS4oWwZLt3JIXwF+ATw6c6fX151/deVUl8kK/Be7gSqrwH/VinVLb77MPDb2zU4CUtCbIMoSvj7v5/kmWdmKZVshsbyzOZDLjRrXHt5makLTfx2iGEa5DwLyzJ4M3lG685ZXVd8nrn4Oi/0T3HwWJWTe4c5YBTo7/doNiNefXWRgwfLnDmzSKsVc889/bIsJ4S4AQ3cnLC0yQawTwN/pZT6FeAy8DOd2/+arG3AObLWAZ8E0FovKKU+BTzdue9fd4u9t4OEJSG2WBjGfOUrF5iYWGTvWIGoBK9Ydc6fm+fSi0sEQYzjmFQq3psKSKspBZZlUCo5aA2BH/PqP8xwoX+JB94xwrsHhykWbFzX5MKFGkNDHhcvQhSl3H//gOyYE0JsyPMU4+M35/fDJhvAAD64wb0a+LVNHudzwOe2cGibkrAkxBaKooQvf/kCL7+8xP5DJWaKEedrS7z2/ByzV1s4jvGWQtJGlALPy3ottdsRT3/rdV4/XuN9x8c4bBcZGPCYn/dJ0+xe01Tcd9+AzDAJIdbxfc3ERLLTw9i1JCwJsUW01jz22EUmJhbZf7jE1VLIC5emee3784RhTKnk3HBmJ9GQoEiAqLOnQ6NQZO0CLMBCYwLX551czsZ1LWbPLvOV+TaP3LOXU9Vh+vo8FhcDIOsG7jgmJ05Ifx0hxEZ2tGZpV5OwJMQWeeqpKU6fnufQ0RJXygEvnJ/m1WfnMIysEeBGs0laQwwEKGKd3WAAhsrSkkL39sJGWhF0dstaaFw0Fiv9mAxD0deXo7Ec8sQPrhDdA+8ZGKKvz2Vx0cc0Dc6fX2Z4OEd/v5ztJYRYke2Gk+NsNiNhSYgtMDXV5PHHJ9l/oMBUKeSF12Z45dk5LFNt2iQy0tDWihSFqTS22rhFSDdjmSqbVYJsFqqJgaE0ea2xVgWxYtGh1Qr5zsQk1ji8a2CYatVlZqaN51k8//w8733vCLYtvxiFEJlsGS7a6WHsWlLtKcTbFMcJjz12kWLRol1JmZie49yzs1gmGwYl3QlJTW1gKLCVXvkPUWvSWJPEKUmcksY6+4brmJ3vQ0NDG/harbktn3dwW5pvv3qVMzMLKKWoVByuXGlQr4ecO1fbnhdDCHELS7fo4/YjM0tCvE1PPz3DlStN9t1V4sVkkVefmSPVUMyvbwipNTRRJFr1ZpJ0ogmjBL8ZEkcJcZSgO79vlKGwbAPbsXDzNo5jolYVLJkKDDS+ViQK8lr3luXyeYdaLeCbV66wr1Kk4mb9l5aXA86fX2ZkJE9fn7vtr48QYvfLdsPJUUmbkbAkxNuwvBzw5JNXGBktcNXzOfvsHI1aSF91fU2Q1tBAobXCUhqdavxWRLPmEwQJoEErlAFp2unbn2SH69KMMJbbeJ5Nvuzi5exeaFJks0yRVrSuC0ylnMPiUsDfX5zkx48fplRymJ/3yedtzp9f5tSp4XXjFELcebJluHCnh7FrSVgS4m149tkZQBFVNa9OLXD1XI1iwVpXzN2dUdI6q09K4oTlRZ92I6B7iG7QSojCmCTMghQAhoFhg+VYKNsgSkJarYhSxaVUzWFaKyvp3cDkK8h1ysKVUhS1xbmFJV6emefekSEqFYfp6RaeZ9JsRhQK8v8mhRA3rynlrUjCkhBvUbMZcebMApWqzVXL59zpOZShcJz1/1mFnd1uttIEQczSTJM4SlCGwm9EBLWAJIY0SQEDUhNQWcpSCYERYrkGVtHBck2WlnwCP6Z/qIDtrjyfrTSBVlho7E5gcxwTv5Xw3denOVKtkvNsoiil2Yy5erXJ8ePVm/OCCSF2rWwZTs6S3IyEJSHeotdeW2Z5OWToWIHXZ2apLwZUK+uX31INfmfpLeoGpTglTVJa8wFROyHVBiQeOs5nnZTSdG1ht6GI4gZx28cqKuySQ5Jo0A0GR0qYq3a2WUrT7gSm7gxXzrBYjgJem1nk3gPD5PMWjUbIxYt1Dh8uY1my10OIO1m2DOfv9DB2LQlLQrwFcZzygx/MUSw6zDsRk+dqWJa5YXdsH5Vt/481tcU2cZSSJgnN2TZhkKJTF51UINUkUQPd9rPeAAagFMq0MCwTZXqkRp4obpBGIXafQ6MVYc43GRgqocyVGqYURQB4neU4yzJQccLz1+YZ3zdELmexuOhTr4csLQUMDub+//burTeu6zrg+H/tfa5z402kZVq2ZblxrABBg8RIEQRFgqQPefA3yDfrt+hbP0CDIE8NWsQq0qKu45ssiqTIIWfOZZ+9+nBGlCiRSihL5ohaP4CAIFIzew/EwZq11l77u3rpjDFLSRdf5iwWLBnzHPb2Kvb2atKR5+vqkL0vjynLs8cENCokRI6PaqpZiwKz+xVt06FxgrZDQvMAjo4hgWQtQYYJiuKcI7ZK2K+gDXhJ0XRImDYgM1jNmB40FGXN6LGsViJKo5DTD60UgbR27OQV3+wf8ebGGO+Fw8PWgiVjDEXhuH3bhtWex4IlY57D/ftzmqZjuJnwxecHxBhJ06dLWc1ipGTslKPDCnHCfL+iqQIxjtEwJMzuQ1eTbKfghThr4V4/HC4CZI50LYEEwjTg5jPEF3SHA1w+px1kHOzNKYc5PjmdXQooD0O4PHMcdR13Pt3lzY0xRZEwm7Xs7dUv/wUzxiy1qorcuTO/7GUsLQuWjHkOd+/OEBHqNPLg/owkOXsadkuf5ZkdN3QhEkKknraoZmg3oqv2gRr/Zko8aNEmoqp9Ge7h7O4uQhPBC8lmTpd0yFGFyoCw3+CLjmquVLOa4eTRJ0MHtAjpYyfjnChfT4+JUckyz9FRy+7unBjVLtg15rVnp+HOY8GSMRcUQmR3tyZNPQ+k5XivOTOr1Mc8gtfI7LgBlGbWEruIhhXoKjTWJG9kdLsNGjoIEVzeX9QEMJ/DrCZmCrmHbyr8GyVdBJlXxGZMrKaEUjk8qBiO8pNbdp0o4bGYSwR8JxxqoK4DZZkiArNZx3webISAMa+xvgxn5fjzWLBkzAXNZoG27UCUB6FhPg2sTp6ehB1ZTC6JStdGNEI3D2jMUE2I7ZRkIyEe1mjXQVBYWYesgBD61NBkBLM53N+DGIhlArsVfmtEnPXP0E49fqDUs0AXFe9Ol+L0sSGV0ghtGXlwUFGWKapCXQeqqrNgyZjXWFV13LlzfNnLWFp2XtiYC5rN2v7ovxMOpg3aKfLkFEoeJbRDiISuo+siXavEmIMEYldDDjrXPlAqR5DnMK+gbaFu4XjW/91k2GedIv0NvCGghQAtWhegStdFQtuduw4ALwIOdvZmAGSZ4+ioJUY7BWOM0Rf0dfVYsGTMBYWwCD8cNHV7ctrsPF2IgBAjECOiJRDwo4Q4DyCLHqXxCOqak4vhHtbPqhqGo/7PbUCBbtoiAxCJEIUYIMZIaJ/uOXj6rUuYHvUN5N4LIagFS8YY7CLd81kZzpgLCovgB6EfDPnXKH3TdlRUQfEIDZQOnSsq9I/n5LHGbjn9ACLgFp9tHNB2yMmwXUGjBx+I8fQb1VkxnIgQFwGZCHRdfGawZ4y5+vqepeFlL2NpWbBkzAXFCEnC3/wBShx9eufJgMQvgqJFxokuQOKhDU/8nO/LchpBFr+yD7PdQt9JfnKS7fSTKGekjwX0sQyUKnYSzpjXXN+zNL3sZSwtK8MZc0FJ4nDOoTGSJMJ5NfrF7W4kqUdEECd9gKQRRaADV8ijHz44hGLRKP74Q6YZPDiEpL9wFwVNXH/ZrnMgDpGIIGeeyjurm8q7ftSBal+Ks2DJGGM9S+ezzJIxF5QkQpoKPjrKPD03wfSwmCbO4VNHCB0+84R5hZDSNZ5kPUV2WzTx/ZiABw9gPF6850ifcdrdg1hD6sEJgkLhkdb1FbrEIxLx3uEfm/ekgBc9VWLTBKTpG7uhLw86JwwG9lZgzOusKDy3b48uexlLy94hjbmgPPfkuUdV2cgKpBBUn27y7g+eKdFBliXU85Yk9zRSAQNcFxCvSC7ofJF1mh9BNQef9mW3EEAiZB5RgUT60lqZwiyBKMg4IChJ5vD+UWYpqpDK6U95moLuKxvfHwB96n19vSDPzx6qaYx5PfRluMPLXsbSsjKcMRc0GKR47yjLhHWXk41SQnj6yD5AjhLFMZhkOC9I5kjyvhFbEMLUkW6XuFT6fiXngQixAQ2QgLg+UNJU+kzSKEXSHGkVJMeVNU5gvFLgkkcRWwSSx1LiqiCZkM705C64uu7Y3h6cOfrAGPM6Uew03Pkss2TMBRWFJ00do1HKvO4YTXKOPp+Rpk9nZxL6TyRZlpIXGaGtyFc87XyKxjGugjgQ/LbCVxVR9GSa5UlSKHV9L3cEmaT462P0nqBBcCtC4hvS1DMcP7rqpG/s1lO/4F3XB2ilpgwG/VG6polsb9sJGGNed30ZbnLZy1haFiwZc0EiwtpaznTaEu9HtjaG7H969ikSEchQau9YWS+p5y2tQrbW0uw2KB72QDYT0vdTwjcz9KhDu35+0mIMN1J60uslOijQrxUqhXxEOtwn8cJkrSTJHiWKgwqDJ/qVOlFcFNaKjCRxxNh/f2tr8JJfMWPMsuvLcA8uexlLy4IlY57DxkbBvXtzUuf43niF/xrtEGPEuacr2zlKA2RlwmStYH/nmGzoid0xYX8E6uBeJA4z/HaGaEDrQAwR8Q7JPJJlxD0lfh6RFkjHpCsHeAmUo4KV9fKklNZpf3lv+mQJbuyJf2n43ve3AZhOW65dK1hbe/qqFmPM6+hqnmR7ESxYMuY59D0/D7h+fUC9o2y8MWD62Yzx+OnAQwRKlGN1TFYHhLbjYL+inAi1P6bZH6FVAl1AjiDmCeQJzoM2oMf098B1EdEcVxYk432SNJAPUtY3hyen4PquA2HI6UGTbYi4xJHPPDdvrgKwt1fx8cfvWr+SMWZRhlu97GUsLQuWjHkOo1HGxkaBiJJ8CR9ev8a/ff5/jM44FQeQSp9hqr1jfXMMAgd7FelQ8Pkx9VFGnObEoNB0MFX0pGnJAxlkKW5Yk+U7+ASKMuXam2PKxQW4CrSL8pt/fFyAgpYQdyJ/9/Y6ZZnSNB1JInz44drLfqmMMa+Avgy3f9nLWFoWLBnznN57b8Lu7pzJJOP9esIft0qO7zWMhtmZP1/QX23SeMfG1pi8yNi7d0QgICsNOm7o6pTQptDmfXnOKZK2SAHGBwcAAAQJSURBVDInyQ5wvh8iOZqUrF4bkBf96MuHgVIpSvZEKr3tItlaQvc/Fbd/cw2AnZ05P/rRNcoyfcmvkjHm1fDwNJw5iwVLxjynjY1+PtH29pCDOw1/f22D3x9+RdfFU/OOHhKBUvum6hrHaLWgHKQc7M84Oqhpm4ArW9KyRXW2+EeKLGZwOy+Ug4yV1ZJylJ+MCVD6hu5SlJwnmrq7CBNH8781P3hrg/X1ASF0tG3ko4+2XvZLZIx5RRRFwu3blmk+jwVLxjwn54T331/hk0/2uHFjSPdlx2dbR3z1+QFrZXFmOU4ECu3LZHMVJE3YeGPM6saQatYwnzU0VUcX4uI5+utS8jLtv/L01CylTvv7T4YSSZ94PlUIKaQByqOEf/int3BO+OKLY37yk002N+0UnDGmV1WBO3d2L3sZS8uCJWO+hRs3RnzxxRF57tndzfjH69v8y/Gc493zy3EPxwkkKHOEVgXnPYNJwXBSAIqGR+dSxHOqCVvpgyQFclGKJ7JJ0AdKTezI1lLCv8/5+c/fZzDIODioGY8zfvGLt17Gy2GMeaXZabjzWLBkzLfgveOHP7zG7373FbdurTD/U8dHG1v8vr3LfBYo8/N/xZzAECWiNAiNyqJjQPpB3os3LgU4+V4/bDJf9Cadd/9tEzqyrZTmk4Yf3LjGzZtrdF1kd7fit7/9gMHAepWMMY/0p+HWL3sZS8uCJWO+pckk44MPVvnznx/w7rsj4qeRo0nDf+guzFvK/NmBiZO++TtHTy4LCIumbaWfS+lQfD/Csr+c95wgSRWarg+U2v+uebcc8bOfvY0qfPnllJ/+dItbt1Ze5PaNMVdAX4a7f9nLWFoWLBnzAty8OeHu3TlV1fL222NUldhG/uT3YdZSJOm5Ac5DIv2QAA+nBkr+rVSh0Y5sK6O9U/NWMuTXv75Fmnru3TvmnXcm/PKXN2yukjHmHHYa7jwWLBnzAnjv+PGPN/nDH+6ysZGjOgYg/crxn2GfY1rypr9T7mVo2v7UW+ZT6j/OubU64Ve/eo809ezszNncLPn44/coCvuVN8Y8rT8Nd+2yl7G0RHX5G7pEZAf47CU/zTvAX17yc3yXbD/Lzfaz/K7anmw/y+3J/byrqpvf1ZOLyL8CLypauq+qv3lBj7UUXolg6bsgIjvf5X/Ml832s9xsP8vvqu3J9rPcrtp+rpqXUxN4NV2165ZtP8vN9rP8rtqebD/L7art50qxYOmRg8tewAtm+1lutp/ld9X2ZPtZbldtP1eKBUuP/PNlL+AFs/0sN9vP8rtqe7L9LLertp8rxXqWjDHGGGOewTJLxhhjjDHPYMGSMcYYY8wzWLBkjDHGGPMMFiwZY4wxxjyDBUvGGGOMMc/w/wrPkDsYTD8KAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Plot customer balance and amount graph according to customer location coordinates\n",
    "df_copy.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.2,\n",
    "s=df[\"balance\"]/100, label=\"balance\", figsize=(10,7),\n",
    "c=\"amount\", cmap=plt.get_cmap(\"jet\"), colorbar=True,\n",
    ")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Drop columns which contains missing values and copy df in new cleaned dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 12043 entries, 0 to 12042\n",
      "Data columns (total 28 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   status             12043 non-null  object \n",
      " 1   card_present_flag  12043 non-null  float64\n",
      " 2   bpay_biller_code   885 non-null    object \n",
      " 3   account            12043 non-null  object \n",
      " 4   currency           12043 non-null  object \n",
      " 5   long_lat           12043 non-null  object \n",
      " 6   txn_description    12043 non-null  object \n",
      " 7   merchant_id        7717 non-null   object \n",
      " 8   merchant_code      883 non-null    float64\n",
      " 9   first_name         12043 non-null  object \n",
      " 10  balance            12043 non-null  float64\n",
      " 11  date               12043 non-null  object \n",
      " 12  gender             12043 non-null  object \n",
      " 13  age                12043 non-null  int64  \n",
      " 14  merchant_suburb    7717 non-null   object \n",
      " 15  merchant_state     7717 non-null   object \n",
      " 16  extraction         12043 non-null  object \n",
      " 17  amount             12043 non-null  float64\n",
      " 18  transaction_id     12043 non-null  object \n",
      " 19  country            12043 non-null  object \n",
      " 20  customer_id        12043 non-null  object \n",
      " 21  merchant_long_lat  7717 non-null   object \n",
      " 22  movement           12043 non-null  object \n",
      " 23  Month              12043 non-null  int32  \n",
      " 24  day                12043 non-null  object \n",
      " 25  Hour               12043 non-null  int64  \n",
      " 26  longitude          12043 non-null  float64\n",
      " 27  latitude           12043 non-null  float64\n",
      "dtypes: float64(6), int32(1), int64(2), object(19)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Make a copy of dataframe and exclude some columns which contains null values\n",
    "df_cleaned1 =df.drop(columns =['bpay_biller_code', 'merchant_id', 'merchant_code', 'merchant_suburb', 'merchant_state', 'merchant_long_lat'].copy())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12043, 22)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Check shape of cleaned dataframe\n",
    "df_cleaned1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 12043 entries, 0 to 12042\n",
      "Data columns (total 22 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   status             12043 non-null  object \n",
      " 1   card_present_flag  12043 non-null  float64\n",
      " 2   account            12043 non-null  object \n",
      " 3   currency           12043 non-null  object \n",
      " 4   long_lat           12043 non-null  object \n",
      " 5   txn_description    12043 non-null  object \n",
      " 6   first_name         12043 non-null  object \n",
      " 7   balance            12043 non-null  float64\n",
      " 8   date               12043 non-null  object \n",
      " 9   gender             12043 non-null  object \n",
      " 10  age                12043 non-null  int64  \n",
      " 11  extraction         12043 non-null  object \n",
      " 12  amount             12043 non-null  float64\n",
      " 13  transaction_id     12043 non-null  object \n",
      " 14  country            12043 non-null  object \n",
      " 15  customer_id        12043 non-null  object \n",
      " 16  movement           12043 non-null  object \n",
      " 17  Month              12043 non-null  int32  \n",
      " 18  day                12043 non-null  object \n",
      " 19  Hour               12043 non-null  int64  \n",
      " 20  longitude          12043 non-null  float64\n",
      " 21  latitude           12043 non-null  float64\n",
      "dtypes: float64(5), int32(1), int64(2), object(14)\n",
      "memory usage: 1.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df_cleaned1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>card_present_flag</th>\n",
       "      <th>balance</th>\n",
       "      <th>age</th>\n",
       "      <th>amount</th>\n",
       "      <th>Month</th>\n",
       "      <th>Hour</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>12043.000000</td>\n",
       "      <td>12043.000000</td>\n",
       "      <td>12043.000000</td>\n",
       "      <td>12043.000000</td>\n",
       "      <td>12043.000000</td>\n",
       "      <td>12043.000000</td>\n",
       "      <td>12043.000000</td>\n",
       "      <td>12043.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.873536</td>\n",
       "      <td>14704.195553</td>\n",
       "      <td>30.582330</td>\n",
       "      <td>187.933588</td>\n",
       "      <td>9.011957</td>\n",
       "      <td>13.268621</td>\n",
       "      <td>143.648563</td>\n",
       "      <td>38.164347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.332385</td>\n",
       "      <td>31503.722652</td>\n",
       "      <td>10.046343</td>\n",
       "      <td>592.599934</td>\n",
       "      <td>0.816511</td>\n",
       "      <td>5.777284</td>\n",
       "      <td>16.669352</td>\n",
       "      <td>54.622791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>114.620000</td>\n",
       "      <td>12.370000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>3158.585000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>138.690000</td>\n",
       "      <td>30.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>6432.010000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>145.230000</td>\n",
       "      <td>33.890000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>12465.945000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>53.655000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>151.220000</td>\n",
       "      <td>37.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>267128.520000</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>8835.980000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>255.000000</td>\n",
       "      <td>573.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       card_present_flag        balance           age        amount  \\\n",
       "count       12043.000000   12043.000000  12043.000000  12043.000000   \n",
       "mean            0.873536   14704.195553     30.582330    187.933588   \n",
       "std             0.332385   31503.722652     10.046343    592.599934   \n",
       "min             0.000000       0.240000     18.000000      0.100000   \n",
       "25%             1.000000    3158.585000     22.000000     16.000000   \n",
       "50%             1.000000    6432.010000     28.000000     29.000000   \n",
       "75%             1.000000   12465.945000     38.000000     53.655000   \n",
       "max             1.000000  267128.520000     78.000000   8835.980000   \n",
       "\n",
       "              Month          Hour     longitude      latitude  \n",
       "count  12043.000000  12043.000000  12043.000000  12043.000000  \n",
       "mean       9.011957     13.268621    143.648563     38.164347  \n",
       "std        0.816511      5.777284     16.669352     54.622791  \n",
       "min        8.000000      0.000000    114.620000     12.370000  \n",
       "25%        8.000000      9.000000    138.690000     30.750000  \n",
       "50%        9.000000     13.000000    145.230000     33.890000  \n",
       "75%       10.000000     18.000000    151.220000     37.700000  \n",
       "max       10.000000     23.000000    255.000000    573.000000  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cleaned1.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Find correlation matrix of numeric variables and plot "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12043, 8)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_data = df_cleaned1.select_dtypes(exclude = [object])\n",
    "numeric_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>card_present_flag</th>\n",
       "      <th>balance</th>\n",
       "      <th>age</th>\n",
       "      <th>amount</th>\n",
       "      <th>Month</th>\n",
       "      <th>Hour</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>card_present_flag</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.037971</td>\n",
       "      <td>0.014023</td>\n",
       "      <td>0.094486</td>\n",
       "      <td>0.001594</td>\n",
       "      <td>-0.012623</td>\n",
       "      <td>-0.009548</td>\n",
       "      <td>0.003095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>balance</th>\n",
       "      <td>0.037971</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.199329</td>\n",
       "      <td>0.059178</td>\n",
       "      <td>0.099208</td>\n",
       "      <td>0.013898</td>\n",
       "      <td>-0.022436</td>\n",
       "      <td>-0.014786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>0.014023</td>\n",
       "      <td>0.199329</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.029980</td>\n",
       "      <td>0.009923</td>\n",
       "      <td>-0.000568</td>\n",
       "      <td>0.031728</td>\n",
       "      <td>-0.068866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>amount</th>\n",
       "      <td>0.094486</td>\n",
       "      <td>0.059178</td>\n",
       "      <td>0.029980</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.007860</td>\n",
       "      <td>0.032348</td>\n",
       "      <td>-0.000677</td>\n",
       "      <td>0.015175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Month</th>\n",
       "      <td>0.001594</td>\n",
       "      <td>0.099208</td>\n",
       "      <td>0.009923</td>\n",
       "      <td>0.007860</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.006889</td>\n",
       "      <td>-0.002685</td>\n",
       "      <td>-0.021414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hour</th>\n",
       "      <td>-0.012623</td>\n",
       "      <td>0.013898</td>\n",
       "      <td>-0.000568</td>\n",
       "      <td>0.032348</td>\n",
       "      <td>0.006889</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.005114</td>\n",
       "      <td>0.014582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>longitude</th>\n",
       "      <td>-0.009548</td>\n",
       "      <td>-0.022436</td>\n",
       "      <td>0.031728</td>\n",
       "      <td>-0.000677</td>\n",
       "      <td>-0.002685</td>\n",
       "      <td>0.005114</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.682094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>latitude</th>\n",
       "      <td>0.003095</td>\n",
       "      <td>-0.014786</td>\n",
       "      <td>-0.068866</td>\n",
       "      <td>0.015175</td>\n",
       "      <td>-0.021414</td>\n",
       "      <td>0.014582</td>\n",
       "      <td>0.682094</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   card_present_flag   balance       age    amount     Month  \\\n",
       "card_present_flag           1.000000  0.037971  0.014023  0.094486  0.001594   \n",
       "balance                     0.037971  1.000000  0.199329  0.059178  0.099208   \n",
       "age                         0.014023  0.199329  1.000000  0.029980  0.009923   \n",
       "amount                      0.094486  0.059178  0.029980  1.000000  0.007860   \n",
       "Month                       0.001594  0.099208  0.009923  0.007860  1.000000   \n",
       "Hour                       -0.012623  0.013898 -0.000568  0.032348  0.006889   \n",
       "longitude                  -0.009548 -0.022436  0.031728 -0.000677 -0.002685   \n",
       "latitude                    0.003095 -0.014786 -0.068866  0.015175 -0.021414   \n",
       "\n",
       "                       Hour  longitude  latitude  \n",
       "card_present_flag -0.012623  -0.009548  0.003095  \n",
       "balance            0.013898  -0.022436 -0.014786  \n",
       "age               -0.000568   0.031728 -0.068866  \n",
       "amount             0.032348  -0.000677  0.015175  \n",
       "Month              0.006889  -0.002685 -0.021414  \n",
       "Hour               1.000000   0.005114  0.014582  \n",
       "longitude          0.005114   1.000000  0.682094  \n",
       "latitude           0.014582   0.682094  1.000000  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix = numeric_data.corr()\n",
    "corr_matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot correlation matrix for better understanding and visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(corr_matrix, cmap=\"YlGnBu\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot histogram of all numeric variables for understanding data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_cleaned1.hist(bins=20, figsize=(20,15))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Box plot between merchant_state and balance of customers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='merchant_state', y='balance', data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Box plot between merchant_state and transaction amount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='merchant_state', y='amount', data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Scatter plot of Balance vs Age variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x='age', y='balance', data= df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Box Whiskers & histogram plot of 'balance' variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Box whiskers plot & histogram on the same window \n",
    "## Split the plotting window into 2 parts\n",
    "\n",
    "f, (ax_box, ax_hist)= plt.subplots(2, gridspec_kw={\"height_ratios\": (.15, .85)})\n",
    "## Add and create  box plot\n",
    "sns.boxplot(df_cleaned1[\"balance\"], ax=ax_box)\n",
    "\n",
    "sns.distplot(df_cleaned1[\"balance\"], ax=ax_hist, kde=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Box Whiskers & histogram plot of 'amount' variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Box whiskers plot & histogram on the same window \n",
    "## Split the plotting window into 2 parts\n",
    "\n",
    "f, (ax_box, ax_hist)= plt.subplots(2, gridspec_kw={\"height_ratios\": (.15, .85)})\n",
    "## Add and create  box plot\n",
    "sns.boxplot(df_cleaned1[\"amount\"], ax=ax_box)\n",
    "\n",
    "sns.distplot(df_cleaned1[\"amount\"], ax=ax_hist, kde=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Regplot between amount and balance of customers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(x='amount', y='balance', scatter=True, data=df_cleaned1, fit_reg=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Box and whiskers plot between gender and balance variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='gender', y = 'balance', data=df_cleaned1)\n",
    "plt.title(\"Balance vs Gender\")\n",
    "plt.xlabel(\"Gender of an candidate\")\n",
    "plt.xlabel(\"Balance of an candidate\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Bar Chart - Frequency Distribution of 'day' variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='day', data=df_copy)\n",
    "plt.xticks(rotation = 'vertical')\n",
    "plt.xlabel(\"Week Day\")\n",
    "plt.ylabel(\"Customer Count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Box & whiskers plot between 'week_day' and 'amounnt'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='day', y='amount', data=df_copy)\n",
    "plt.xlabel('Week Day')\n",
    "plt.ylabel('Transaction Amount')\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Bar Chart - Frequency Distribution of 'month_number' variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/xS4aXkqSpIVs2iuOJD8OPAd4RpJf6dv0dOBJw05MkrQwzdRV9WPAy+i9Uv2X+uIPAL89zKQkSQvXtIWjqi4GLk7yoqr63DzmJElawAYZ43h5kqcn2SvJZUm+luQ3hp6ZJGlBGqRwHN8GxV9Gb26MZwNvGWpWkqQFa5DCsVf7PhG4wFeaS9LSNshzHP+Y5Mv0nhZ/XZJlwHeGm5YkaaGa9Yqjqs4AXgSMVdV3gW8Cq4edmCRpYRrkteqn0rsd99Vt+ZX0pm+dbb/1Se5OckNf7B1J7khyXfuc2LftbUm2J/lKkpf0xU9ose1Jzuj6AyVJc2uQrqqf7lt+Er3Z+64Fzp9lvw8BfzlFu7Or6n39gSSHAafQe+Dwh4F/TfLstvmvgF+gNzB/TZKNVfWlAfKWJA3BIDMA/l7/envZ4YcH2O/TSVYOmMdqYENVPQTckmQ7cGTbtr2qbm7n3tDaWjgkaUQGuatqsm8Bqx7DOV+fZGvrytq3xZYDt/e12dFi08UlSSMyyBjHPybZ2D6fAL4CXLyb5zsHOBQ4HNgJ/PnEaaZoWzPEp8pz7cT0tuPj47uZniRpNoOMcfSPR+wC/r2qduzOyarqronlJH8DfKKt7gAO7mu6ArizLU8Xn3zsdcA6gLGxsSmLiyTpsZvp7bjPAg6sqk9Niv+XJHtX1Ve7nizJQVW1s62+HJi442oj8NEk76c3OL4KuJreFceqNv/HHfQG0H+963klSXNnpiuOvwDePkX8223bL02x7RFJLgCOAfZPsgM4EzgmyeH0uptuBX4HoKq2JbmQ3qD3LuD0qnq4Hef1wKXAHsD6qto26I+TJM29mQrHyqraOjlYVZsHuVuqql41RfjcGdqfBZw1RfwS4JLZzidJmh8zDY7PNFnTk+c6EUnS4jBT4bgmyaMmbEpyGrBleClJkhaymbqq3gR8PMmr+X6hGAOeSG9gW5K0BM00A+BdwM8k+XnguS38yaq6fF4ykyQtSIO8cuQK4Ip5yEWStAjszitHJElLmIVDktSJhUOS1ImFQ5LUiYVDktSJhUOS1ImFQ5LUiYVDktSJhUOS1ImFQ5LUiYVDktTJ0ApHkvVJ7k5yQ19svySbktzUvvdt8ST5QJLtSbYmOaJvnzWt/U1J1gwrX0nSYIZ5xfEh4IRJsTOAy6pqFXBZWwd4Kb15xlcBa4FzoFdo6E05+0LgSODMiWIjSRqNoRWOqvo0cM+k8GrgvLZ8HnBSX/z86rkK2CfJQcBLgE1VdU9V3Qts4tHFSJI0j+Z7jOPAqtoJ0L4PaPHlwO197Xa02HRxSdKILJTB8UwRqxnijz5AsjbJ5iSbx8fH5zQ5SdL3zXfhuKt1QdG+727xHcDBfe1WAHfOEH+UqlpXVWNVNbZs2bI5T1yS1DPfhWMjMHFn1Brg4r74qe3uqqOA+1pX1qXA8Un2bYPix7eYJGlEZp06dncluQA4Btg/yQ56d0e9B7gwyWnAbcDJrfklwInAduBbwGsBquqeJO8Grmnt3lVVkwfcJUnzaGiFo6peNc2m46ZoW8Dp0xxnPbB+DlOTJD0GC2VwXJK0SFg4JEmdWDgkSZ1YOCRJnVg4JEmdWDgkSZ1YOCRJnVg4JEmdWDgkSZ1YOCRJnVg4JEmdWDgkSZ1YOCRJnVg4JEmdWDgkSZ1YOCRJnVg4JEmdjKRwJLk1yfVJrkuyucX2S7IpyU3te98WT5IPJNmeZGuSI0aRsySpZ5RXHD9fVYdX1VhbPwO4rKpWAZe1dYCXAqvaZy1wzrxnKkl6xELqqloNnNeWzwNO6oufXz1XAfskOWgUCUqSRlc4CviXJFuSrG2xA6tqJ0D7PqDFlwO39+27o8V+QJK1STYn2Tw+Pj7E1CVpadtzROc9uqruTHIAsCnJl2domyli9ahA1TpgHcDY2NijtkuS5sZIrjiq6s72fTfwceBI4K6JLqj2fXdrvgM4uG/3FcCd85etJKnfvBeOJE9J8rSJZeB44AZgI7CmNVsDXNyWNwKntrurjgLum+jSkiTNv1F0VR0IfDzJxPk/WlX/nOQa4MIkpwG3ASe39pcAJwLbgW8Br53/lCVJE+a9cFTVzcDzp4h/HThuingBp89DapKkASyk23ElSYuAhUOS1ImFQ5LUiYVDktSJhUOS1ImFQ5LUiYVDktSJhUOS1ImFQ5LUiYVDktSJhUOS1ImFQ5LUiYVDktSJhUOS1ImFQ5LUiYVDktTJoikcSU5I8pUk25OcMep8JGmpWhSFI8kewF8BLwUOA16V5LDRZiVJS9OiKBzAkcD2qrq5qv4D2ACsHnFOkrQkLZbCsRy4vW99R4tJkubZnqNOYECZIlY/0CBZC6xtqw8m+crQsxqd/YGvjTqJLvK+NaNOYSFZXH+/M6f6z2/JWlx/OyBv6PT3+8+DNFoshWMHcHDf+grgzv4GVbUOWDefSY1Kks1VNTbqPLR7/PstXv7tehZLV9U1wKokhyR5InAKsHHEOUnSkrQorjiqaleS1wOXAnsA66tq24jTkqQlaVEUDoCqugS4ZNR5LBBLokvuccy/3+Ll3w5IVc3eSpKkZrGMcUiSFggLxyKT5PeTbEtyQ5ILkjxp1DlpMEne2P5u25K8adT5aGZJ1ie5O8kNfbH9kmxKclP73neUOY6KhWMRSbIceAMwVlXPpXejwCmjzUqDSPJc4LfpvQXh+cDLkqwabVaaxYeAEybFzgAuq6pVwGVtfcmxcCw+ewJPTrIn8ENMep5FC9ZPAFdV1beqahfwKeDlI85JM6iqTwP3TAqvBs5ry+cBJ81rUguEhWMRqao7gPcBtwE7gfuq6l9Gm5UGdAPwc0memeSHgBP5wYdatTgcWFU7Adr3ASPOZyQsHItI609dDRwC/DDwlCS/MdqsNIiquhF4L7AJ+Gfgi8CukSYl7SYLx+LyYuCWqhqvqu8Cfw/8zIhz0oCq6tyqOqKqfo5eF8hNo85Jnd2V5CCA9n33iPMZCQvH4nIbcFSSH0oS4DjgxhHnpAElOaB9/wjwK8AFo81Iu2EjMPHGzjXAxSPMZWR8AHCRSfJO4NfodXN8AfitqnpotFlpEEn+DXgm8F3gD6rqshGnpBkkuQA4ht4bce8CzgT+AbgQ+BF6/0fu5KqaPID+uGfhkCR1YleVJKkTC4ckqRMLhySpEwuHJKkTC4ckqRMLhx73klSSD/et75lkPMkndvN4+yR5Xd/6MYMcK8mHktyRZO+2vn+SW3cnhymOPVAO0lywcGgp+Cbw3CRPbuu/ANzxGI63D/C6WVtN7WHgvz6Gcw9Fkj1GnYMWDwuHlop/An6xLb+Kvqe22xwL/5Bka5Krkjyvxd/R5mS4MsnNSd7QdnkPcGiS65L8WYs9NclFSb6c5CPtyf6p/AXw++3txo+YfMWQ5C+T/GZbvjXJnyT5XJLNSY5IcmmSryb53b7DPD3Jx5N8KclfJ3lC2//4tu+1Sf5vkqf2HfePknwGOLnz/6JasiwcWio2AKe0ia+eB3y+b9s7gS9U1fOAtwPn9237ceAl9ObRODPJXvTmYPhqVR1eVW9p7V4AvAk4DPhR4Ohp8rgN+Azwmo75315VLwL+jd48Ea8EjgLe1dfmSODNwE8ChwK/kmR/4H8AL66qI4DNwB/07fOdqvrZqtrQMR8tYXvO3kRa/Kpqa5KV9K42Lpm0+WeBV7R2l7dXnz+jbftke6XLQ0nuBg6c5hRXV9UOgCTXASvpFYip/Am9dx59ssNP2Ni+rweeWlUPAA8k+U6SffpyuLnlcEH7Xd+hV8w+2y6Cngh8ru+4f9chBwmwcGhp2UhvPpNj6L0zasJU3UoT7+Lpfw/Yw0z/38yg7aiq7a24/GpfeBc/2AMweUrgieN/b9K5vtd3rsnvDyp6v21TVb1qmnS+OV2e0nTsqtJSsh54V1VdPyn+aeDV0BtrAL5WVffPcJwHgKc9xlzOAv6wb/3fgcOS7N2udo7bjWMemeSQNrbxa/SueK4Cjk7yLID2ZuVnP8bctcRZOLRkVNWOqvpfU2x6BzCWZCu9ge81U7TpP87X6XX93NA3ON41l23AtX3rt9N76+pW4CP03nzc1efo5X8DcAvw8aoaB34TuKD9vqvojdtIu82340qSOvGKQ5LUiYVDktSJhUOS1ImFQ5LUiYVDktSJhUOS1ImFQ5LUiYVDktTJ/wcjzWw2GtpoJAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='Month', data=df_cleaned1)\n",
    "plt.xlabel(\"Month Number\")\n",
    "plt.ylabel(\"Customer Count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Box & whiskers plot between 'month_number' and 'amounnt'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='Month', y='amount', data=df_cleaned1)\n",
    "plt.xlabel('Month Number')\n",
    "plt.ylabel('Transaction Amount')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Box & whiskers plot between 'month_number' and 'balance'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='Month', y='balance', data=df_cleaned1)\n",
    "plt.xlabel('Month Number')\n",
    "plt.ylabel('Customer Balance')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Frequency Distribution of 'status' varible"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='status', data=df_cleaned1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Box & whiskers plot between 'status' and 'balance' variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='status', y='balance', data=df_cleaned1)\n",
    "plt.xlabel('Status')\n",
    "plt.ylabel('Customer Balance')\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Box & whiskers plot between 'status' and 'amount' variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='status', y='amount', data=df_cleaned1)\n",
    "plt.xlabel('Status')\n",
    "plt.ylabel('Transaction Amount')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 24-hour Time and transaction Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hours = [hour for hour, df in df_cleaned1.groupby('Hour')]\n",
    "\n",
    "plt.plot(hours, df_cleaned1.groupby([\"Hour\"]).count())\n",
    "##all_data_my.groupby([\"Hour\"]).count()\n",
    "\n",
    "plt.xticks(hours)\n",
    "plt.grid()\n",
    "plt.ylabel(\"Number of transactions\")\n",
    "plt.xlabel(\"Time (Hour)\")\n",
    "plt.title(\"Number of Transactions vs Time(24-hour)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xdcd90d0>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df_cleaned1['Hour'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Amount vs hour of customers\n",
    "sns.regplot(x=\"Hour\", y='amount', scatter=True, data=df_cleaned1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## time vs balance of customers\n",
    "sns.regplot(x=\"Hour\", y='balance', scatter=True, data=df_cleaned1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot graph between amount and hour with transaction description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0xd27de70>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 461.875x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Scatter plot of Price vs Age by FuelType\n",
    "## Using hue parameter, including another variable to show the fuel types categories with different colors\n",
    "\n",
    "sns.lmplot(x='Hour', y='amount', data= df_cleaned1, fit_reg=False, hue ='txn_description', legend=True, palette=\"Set1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pairwise Plot :- Used to plot relationship in a dataset\n",
    "\n",
    "##### Creates scatterplots for join relationship and histogram for univariate distributions "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0xd31cd70>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1124.62x1080 with 42 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Pair-plot of 'gender' variable with other variables\n",
    "sns.pairplot(df_cleaned1, hue=\"gender\", vars=['age', 'Month','Hour','balance','amount','card_present_flag'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        8\n",
       "1        8\n",
       "2        8\n",
       "3        8\n",
       "4        8\n",
       "        ..\n",
       "1746     8\n",
       "1789     8\n",
       "1876     8\n",
       "7309     9\n",
       "8056    10\n",
       "Name: Month, Length: 500, dtype: int32"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped = df['Month'].groupby(df['account'])\n",
    "grouped.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         16.25\n",
       "1         14.19\n",
       "2          6.42\n",
       "3         40.90\n",
       "4          3.25\n",
       "         ...   \n",
       "1746       8.75\n",
       "1789     195.00\n",
       "1876    2647.38\n",
       "7309    4863.62\n",
       "8056      20.00\n",
       "Name: amount, Length: 500, dtype: float64"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped1 = df['amount'].groupby(df['account'])\n",
    "grouped1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "account         amount \n",
       "ACC-1037050564  3.71        9.000000\n",
       "                3.88        8.000000\n",
       "                3.92       10.000000\n",
       "                5.09        8.000000\n",
       "                5.89        8.000000\n",
       "                             ...    \n",
       "ACC-966140392   247.66      8.000000\n",
       "                355.00     10.000000\n",
       "                425.32      9.000000\n",
       "                559.33      8.000000\n",
       "                2572.91     8.857143\n",
       "Name: Month, Length: 8194, dtype: float64"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "means = df['Month'].groupby([df['account'], df['amount']]).mean()\n",
    "means"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model Development\n",
    "\n",
    "#### Now, build a Linear Regression and Random Forest Model on omitted dataframe.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12043, 14)"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Drop in-significant columns from dataframe\n",
    "df_omit = df_cleaned1.copy()\n",
    "df_omit.drop(columns=['currency','customer_id','transaction_id','date','first_name','extraction','long_lat','country'], axis=1, inplace=True)\n",
    "df_omit.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_omit.drop(columns=['longitude', 'latitude','status','card_present_flag','Month','Hour'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 12043 entries, 0 to 12042\n",
      "Data columns (total 8 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   account          12043 non-null  object \n",
      " 1   txn_description  12043 non-null  object \n",
      " 2   balance          12043 non-null  float64\n",
      " 3   gender           12043 non-null  object \n",
      " 4   age              12043 non-null  int64  \n",
      " 5   amount           12043 non-null  float64\n",
      " 6   movement         12043 non-null  object \n",
      " 7   day              12043 non-null  object \n",
      "dtypes: float64(2), int64(1), object(5)\n",
      "memory usage: 517.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df_omit.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12043, 115)"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## Converting categorical variables to dummy variables\n",
    "df_omitted=pd.get_dummies(df_omit, drop_first=True)\n",
    "df_omitted.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Import necessary libraries for model development"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.metrics import mean_squared_error"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### MODEL BUILDING WITH OMITTED DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Separating input and output features\n",
    "x1 = df_omitted.drop(['amount'], axis='columns', inplace=False)\n",
    "y1 = df_omitted['amount']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Plotting the variable price and log of price\n",
    "prices =pd.DataFrame({\"1. Before\":y1, \"2. After\":np.log(y1)})\n",
    "prices.hist()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Transform price as a logarithmic value\n",
    "y1 =np.log(y1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Splitting data into test and train to fit model & predict. Train set contains 70% data because test_size =0.3 and random state is a predefined algorithm its called pseudo random  number generator "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8430, 114) (3613, 114) (8430,) (3613,)\n"
     ]
    }
   ],
   "source": [
    "x_train, x_test, y_train, y_test = train_test_split(x1, y1, test_size=0.3, random_state = 3)\n",
    "print(x_train.shape, x_test.shape, y_train.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### BASELINE MODEL FOR OMITTED DATA\n",
    "\n",
    "##### WE are making a base model by using test data mean value. This is to set a benchmark and to compare with our regression model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.6303309597991706\n"
     ]
    }
   ],
   "source": [
    "## Finding the mean for test data value\n",
    "base_pred =np.mean(y_test)\n",
    "print(base_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Representing some value till length of test data\n",
    "base_pred = np.repeat(base_pred, len(y_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.3939115200445023\n"
     ]
    }
   ],
   "source": [
    "## Finding the RMSE(Root Mean Squared Error)\n",
    "## RMSE computes the difference between the test value and the predicted value and squared them and divides them by number of samples.\n",
    "\n",
    "base_root_mean_square_error = np.sqrt(mean_squared_error(y_test, base_pred))\n",
    "print(base_root_mean_square_error)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### LINEAR REGRESSION WITH OMITTED DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Setting intercept as true\n",
    "lgr = LinearRegression(fit_intercept =True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "## MODEL\n",
    "model_lin1 = lgr.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Predicting model on test set\n",
    "salary_predictions_lin1 = lgr.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.8037403049416882\n"
     ]
    }
   ],
   "source": [
    "## Computing MSE and RMSE\n",
    "lin_mse1 = mean_squared_error(y_test, salary_predictions_lin1)\n",
    "lin_rmse1 = np.sqrt(lin_mse1)\n",
    "print(lin_rmse1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Root Mean Square Error (RMSE) is the standard deviation of the residuals (prediction errors). Residuals are a measure of how far from the regression line data points are; RMSE is a measure of how spread out these residuals are."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.6675234036343576 0.6838217206977606\n"
     ]
    }
   ],
   "source": [
    "## R squared value\n",
    "r2_lin_test1 = model_lin1.score(x_test, y_test)\n",
    "r2_lin_train1 = model_lin1.score(x_train, y_train)\n",
    "print(r2_lin_test1, r2_lin_train1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    3613.000000\n",
       "mean        0.018025\n",
       "std         0.803649\n",
       "min        -5.459432\n",
       "25%        -0.486612\n",
       "50%        -0.071130\n",
       "75%         0.409078\n",
       "max         5.072414\n",
       "Name: amount, dtype: float64"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Regression diagnostics :- Resident plot analysis\n",
    "## It is differnce test data and your prediction. It is just difference between actual & predicted value.\n",
    "residuals1 = y_test - salary_predictions_lin1\n",
    "sns.regplot(x = salary_predictions_lin1, y=residuals1, scatter=True, fit_reg=False, data=df_omitted)\n",
    "residuals1.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RANDOM FOREST with Omitted Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "## MODEL PARAMETERS\n",
    "rf = RandomForestRegressor(n_estimators = 100, max_features='auto', max_depth=100, min_samples_split=10, min_samples_leaf=4, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "## MODEL\n",
    "model_rf1 =rf.fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Predicting model on test set\n",
    "salary_predictions_rf1 = rf.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7954859967826822\n"
     ]
    }
   ],
   "source": [
    "## Computing MSE and RSME\n",
    "rf_mse1 = mean_squared_error(y_test, salary_predictions_rf1)\n",
    "rf_rmse1 = np.sqrt(rf_mse1)\n",
    "print(rf_rmse1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.674317319862167 0.8101276294548814\n"
     ]
    }
   ],
   "source": [
    "## R Squared value\n",
    "r2_rf_test1 = model_rf1.score(x_test, y_test)\n",
    "r2_rf_train1 = model_rf1.score(x_train, y_train)\n",
    "print(r2_rf_test1, r2_rf_train1)"
   ]
  }
 ],
 "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": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}