ED_Migration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ERIKS Digital - Customer Migration Analysis \n",
    "In this analysis for ERIKS Digital, I was asked to analyse the order behaviour for a set of customers, who had been migrated from a previous version of our webshop, under a different company name (Zamro), to the webshop of ERIKS Digital. \n",
    "It is very similar in nature to ED_Conversion, and it's perhaps worth reading that notebook first. \n",
    "\n",
    "Part 1 - Migrated Customers Analysis\n",
    "1. How many order did migrated customers place on the webshop since the migration? \n",
    "2. What is the breakdown of order channels for migrated customers? \n",
    "3. How has the percentage of orderlines placed by these customers changed since the migration? \n",
    "4. How has the total sales value for these customers changed over time? \n",
    "5. What is the industry breakdown for the migrated customer orders? \n",
    "6. How much of the orders placed by migrated customers could have been placed online? \n",
    "5. What is the average item value for migrated customers? \n",
    "6. What is the average orderline value for migrated customers? \n",
    "7. What does the sales value look like over time, for each industry? \n",
    "8. What does the sales value over time, by industry, look like for all offline orders? \n",
    "9. What does the sales value over time, by industry, look like for all webshop orders? \n",
    "10. Do the percentage of webshop orders, for migrated customers, look different across Business Units? \n",
    "11. How many offline orders could've been placed on the webshop, for each BU? \n",
    "12. Which BU has the highest percentage of offline orders, which could've been placed online? \n",
    "\n",
    "Part 2 - Discount Analysis\n",
    "A 10% discount offer was given to some of the migrated customers, over the first month of the migration. \n",
    "1. Does the number of orders placed between discount and no discount customers look different at all?\n",
    "2. How many customers fall into each group? \n",
    "3. What is the percentage of online orders for each customer group?\n",
    "4. How many of the offline orders could have been placed online, for each customer group? "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import datetime as dt\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "from datetime import date\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.dates import date2num"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 1 - Migrated Customers Analysis \n",
    "## Customer ID Import\n",
    "Customer IDs pulled from PBI Dashboard, all Zamro customers from 1st March 2019 to 25 October 2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>CustomerId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1005507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1005936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1006397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1006824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1006977</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  CustomerId\n",
       "0    1005507\n",
       "1    1005936\n",
       "2    1006397\n",
       "3    1006824\n",
       "4    1006977"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_migration = pd.read_csv(r\"Zamro_Migration_Deep_Dive_Data.csv\")\n",
    "df_migration.CustomerId = df_migration.CustomerId.astype(str) \n",
    "migration_customer_ids = df_migration['CustomerId'].unique()\n",
    "df_migration_anon = df_migration.drop(['First CustomerName'], axis=1)\n",
    "df_migration_anon.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create SQL Query to get orders data for customers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Select OriginalOrderNumber, OrderNumber, CustomerId, CustomerName, TurnoverClass, IndustryCode2Description, ArticleProdGroupNL, PurchaseOrderTypeDescription, SalesDocumentHeaderCreationDate, SalesValue, Quantity, MaterialGroup2Description FROM [weekly].[OrdersNLBE] Where SalesDocumentHeaderCreationDate >= '2019-03-01' and SalesDocumentHeaderCreationDate <= '2019-10-25' and CustomerId in ('1005507', '1005936', '1006397', '1006824', '1006977', '1007514', '1007788', '1008045', '1008345', '1008499', '1008629', '1008953', '1009485', '1009723', '1010621', '1010639', '1010885', '1010910', '1011179', '1011410', '1012046', '1012050', '1012131', '1012344', '1012514', '1012519', '1012820', '1014108', '1014271', '1014387', '1015531', '1016686', '1017272', '1017431', '1017490', '1017599', '1019852', '1019952', '1020251', '1020784', '1021804', '1022088', '1022804', '1023176', '1026778', '1027198', '1027300', '1028693', '1029427', '1030644', '1031198', '1031531', '1031945', '1033361', '1033745', '1034077', '1035543', '1035593', '1035715', '1036394', '1040004', '1040079', '1040824', '1041053', '1041113', '1041125', '1041635', '1043103', '1043709', '1044302', '1044589', '1044950', '1045198', '1045522', '1049199', '1050117', '1050256', '1050923', '1052927', '1056725', '1059881', '1063217', '1063489', '1063637', '1064465', '1065424', '1065858', '1507504', '1564524', '1578762', '1660061', '1660791', '1661685', '1661962', '1662046', '1663076', '1664554', '1665132', '1665195', '1666647', '1666742', '1666764', '1673991', '1675707', '1676721', '1676791', '1676809', '1677347', '1678089', '1678127', '1678750', '1679181', '1679710', '1680823', '1681038', '1681199', '1681946', '1684778', '1685187', '1686479', '1686861', '1688805', '1690580', '1690678', '1690737', '1690900', '1691105', '1692138', '1695443', '1697154', '1698837', '1701727', '1707664', '1707718', '1708108', '1708170', '1713774', '1713815', '1713850', '1716817', '1717696', '1719280', '1719305', '1720088', '1721005', '1721535', '1722760', '1724513', '1725394', '1725771', '1726018', '1726032', '1728149', '1728270', '1728944', '1729210', '1730949', '1731248', '1731484', '1732497', '1735257', '1737859', '1742715', '1743030', '1743269', '1756600', '1763833', '1769823', '1769900', '1772059', '1772128', '1773992', '1774291', '1777813', '1778628', '1778638', '1780003', '1780233', '1780287', '1781379', '1781950', '1782469', '1784240', '1784744', '1784854', '1795895', '1798341', '1798424', '1799695', '1800656', '1800864', '1801014', '1801442', '1802418', '1802528', '1803306', '1804776', '1806998', '1807253', '1807457', '1807541', '1807669', '1808076', '1812494', '1814482', '1814508', '1814527', '1815072', '1820548', '1820568', '1820587', '1820595', '1820598', '1820602', '1820615', '1820616', '1820619', '1820625', '1820628', '1820629', '1820639', '1820656', '1820657', '1820663', '1820668', '1820674', '1820675', '1820677', '1820690', '1820698', '1820715', '1820717', '1820724', '1820731', '1820756', '1820767', '1820769', '1820775', '1820776', '1820782', '1820807', '1820809', '1820811', '1820813', '1820816', '1820817', '1820842', '1820846', '1820854', '1820859', '1820861', '1821064', '1821125', '1821170', '1821215', '2001407', '2004464', '2005980')\n"
     ]
    }
   ],
   "source": [
    "#Run this in SQL to update order data\n",
    "sql_list = \"(\"\n",
    "for x in range(len(migration_customer_ids)):\n",
    "    sql_list += \"'\" + str(migration_customer_ids[x]) + \"'\" + \", \" \n",
    "sql_list = sql_list[:-2]\n",
    "sql_list += \")\"\n",
    "\n",
    "script_after = \"Select OriginalOrderNumber, OrderNumber, CustomerId, CustomerName, TurnoverClass, IndustryCode2Description, ArticleProdGroupNL, PurchaseOrderTypeDescription, SalesDocumentHeaderCreationDate, SalesValue, Quantity, MaterialGroup2Description FROM [weekly].[OrdersNLBE] Where SalesDocumentHeaderCreationDate >= '2019-03-01' and SalesDocumentHeaderCreationDate <= '2019-10-25' and CustomerId in %s\" %sql_list\n",
    "print (script_after)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Orders data, saved to CSV from above SQL query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>OriginalOrderNumber</th>\n",
       "      <th>OrderNumber</th>\n",
       "      <th>CustomerId</th>\n",
       "      <th>TurnoverClass</th>\n",
       "      <th>IndustryCode2Description</th>\n",
       "      <th>ArticleProdGroupNL</th>\n",
       "      <th>PurchaseOrderTypeDescription</th>\n",
       "      <th>SalesDocumentHeaderCreationDate</th>\n",
       "      <th>SalesValue</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>MaterialGroup2Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>350452872/10/1</td>\n",
       "      <td>350452872</td>\n",
       "      <td>1012050</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Basic Ind. Metal eo</td>\n",
       "      <td>40</td>\n",
       "      <td>Offline</td>\n",
       "      <td>8/15/2019</td>\n",
       "      <td>416.00</td>\n",
       "      <td>200.0</td>\n",
       "      <td>General published</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9092301/10/1</td>\n",
       "      <td>9092301</td>\n",
       "      <td>1005936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other industries</td>\n",
       "      <td>C1</td>\n",
       "      <td>Webshop</td>\n",
       "      <td>8/14/2019</td>\n",
       "      <td>17.11</td>\n",
       "      <td>1.0</td>\n",
       "      <td>General published</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9092301/20/1</td>\n",
       "      <td>9092301</td>\n",
       "      <td>1005936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other industries</td>\n",
       "      <td>C1</td>\n",
       "      <td>Webshop</td>\n",
       "      <td>8/14/2019</td>\n",
       "      <td>11.45</td>\n",
       "      <td>1.0</td>\n",
       "      <td>General published</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9092301/30/1</td>\n",
       "      <td>9092301</td>\n",
       "      <td>1005936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other industries</td>\n",
       "      <td>C1</td>\n",
       "      <td>Webshop</td>\n",
       "      <td>8/14/2019</td>\n",
       "      <td>12.19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>General published</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9092301/40/1</td>\n",
       "      <td>9092301</td>\n",
       "      <td>1005936</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Other industries</td>\n",
       "      <td>C1</td>\n",
       "      <td>Webshop</td>\n",
       "      <td>8/14/2019</td>\n",
       "      <td>22.20</td>\n",
       "      <td>1.0</td>\n",
       "      <td>General published</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  OriginalOrderNumber  OrderNumber  CustomerId TurnoverClass  \\\n",
       "0      350452872/10/1    350452872     1012050           NaN   \n",
       "1        9092301/10/1      9092301     1005936           NaN   \n",
       "2        9092301/20/1      9092301     1005936           NaN   \n",
       "3        9092301/30/1      9092301     1005936           NaN   \n",
       "4        9092301/40/1      9092301     1005936           NaN   \n",
       "\n",
       "  IndustryCode2Description ArticleProdGroupNL PurchaseOrderTypeDescription  \\\n",
       "0      Basic Ind. Metal eo                 40                      Offline   \n",
       "1         Other industries                 C1                      Webshop   \n",
       "2         Other industries                 C1                      Webshop   \n",
       "3         Other industries                 C1                      Webshop   \n",
       "4         Other industries                 C1                      Webshop   \n",
       "\n",
       "  SalesDocumentHeaderCreationDate  SalesValue  Quantity  \\\n",
       "0                       8/15/2019      416.00     200.0   \n",
       "1                       8/14/2019       17.11       1.0   \n",
       "2                       8/14/2019       11.45       1.0   \n",
       "3                       8/14/2019       12.19       1.0   \n",
       "4                       8/14/2019       22.20       1.0   \n",
       "\n",
       "  MaterialGroup2Description  \n",
       "0         General published  \n",
       "1         General published  \n",
       "2         General published  \n",
       "3         General published  \n",
       "4         General published  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_orders = pd.read_csv(r\"Zamro_Migration_SQL_Data.csv\")\n",
    "df_orders_anon = df_orders.drop(['CustomerName'], axis=1)\n",
    "df_orders_anon.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sanity check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "258"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_orders['CustomerId'].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_orders.TurnoverClass = df_orders.TurnoverClass.astype(str)\n",
    "df_orders.CustomerId = df_orders.CustomerId.astype(str)\n",
    "df_orders['SalesDocumentHeaderCreationDate'] = pd.to_datetime(df_orders['SalesDocumentHeaderCreationDate'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sanity check orders per month - check against dashboard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of Orderlines')"
      ]
     },
     "execution_count": 7,
     "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": [
    "df_orders_grouped = df_orders.groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins = []\n",
    "list_of_group_sizes = []\n",
    "for name, group in df_orders_grouped:\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes.append(len(group.index))\n",
    "\n",
    "plt.bar(list_of_date_bins, list_of_group_sizes)\n",
    "plt.xticks(rotation = 45)\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.ylabel(\"Number of Orderlines\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## See breakup of channels by month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Orderlines Breakdown for Migrated Customers')"
      ]
     },
     "execution_count": 8,
     "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": [
    "migrated_offline_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'Offline'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "migrated_webshop_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'Webshop'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "migrated_epdf_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'ePDF'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins_offline = []\n",
    "list_of_group_sizes_offline = []\n",
    "for name, group in migrated_offline_df:\n",
    "    list_of_date_bins_offline.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_offline.append(group.shape[0])\n",
    "\n",
    "list_of_date_bins_webshop = []\n",
    "list_of_group_sizes_webshop = []\n",
    "for name, group in migrated_webshop_df:\n",
    "    list_of_date_bins_webshop.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_webshop.append(group.shape[0])\n",
    "    \n",
    "list_of_date_bins_epdf = []\n",
    "list_of_group_sizes_epdf = []\n",
    "for name, group in migrated_epdf_df:\n",
    "    list_of_date_bins_epdf.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_epdf.append(group.shape[0])\n",
    "    \n",
    "offline_plus_webshop = [x + y for x, y in zip(list_of_group_sizes_offline, list_of_group_sizes_webshop)]\n",
    "\n",
    "plt.bar(list_of_date_bins_offline, list_of_group_sizes_offline, label = 'Offline')\n",
    "plt.bar(list_of_date_bins_webshop, list_of_group_sizes_webshop, bottom = list_of_group_sizes_offline, label = 'Webshop')\n",
    "plt.bar(list_of_date_bins_epdf, list_of_group_sizes_epdf, bottom = offline_plus_webshop, label = 'ePDF')\n",
    "\n",
    "plt.legend()\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.ylabel(\"Number of Orderlines\")\n",
    "plt.title(\"Orderlines Breakdown for Migrated Customers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Comments\n",
    "# Webshop orders increasing over time, Offline orders look to be decreasing over time "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Average % Online orderlines per customer per month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Percentage')"
      ]
     },
     "execution_count": 10,
     "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": [
    "migrated_customer_orders_df_grouped = df_orders.groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins = []\n",
    "list_of_average_online_orders = []\n",
    "for name, group in migrated_customer_orders_df_grouped:\n",
    "    customer_level_group_by = group.groupby(\"CustomerId\")\n",
    "    list_of_customer_averages_in_one_month = []\n",
    "    for customer, customer_dataframe in customer_level_group_by:  \n",
    "        list_of_customer_averages_in_one_month.append( len(customer_dataframe[customer_dataframe['PurchaseOrderTypeDescription'] == 'Webshop']) / len(customer_dataframe))\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_average_online_orders.append(100*np.mean(list_of_customer_averages_in_one_month))\n",
    "plt.bar(list_of_date_bins, list_of_average_online_orders)\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.title(\"Average Percentage of Webshop Orderlines per Migrated Customer over Time\")\n",
    "plt.ylabel(\"Percentage\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Percentage of online orders for migrated customers quickly reaches values similar to \"Still Online group\"\n",
    "# More impressive webshop uptake of Zamro customers than of Converted customers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sales Value over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Sales Value for Migrated Customers over Time')"
      ]
     },
     "execution_count": 12,
     "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": [
    "migrated_offline_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'Offline'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "migrated_webshop_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'Webshop'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "migrated_epdf_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'ePDF'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins_offline = []\n",
    "list_of_sales_values_offline = []\n",
    "for name, group in migrated_offline_df:\n",
    "    list_of_date_bins_offline.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_sales_values_offline.append(group.SalesValue.sum())\n",
    "\n",
    "list_of_date_bins_webshop = []\n",
    "list_of_sales_values_webshop = []\n",
    "for name, group in migrated_webshop_df:\n",
    "    list_of_date_bins_webshop.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_sales_values_webshop.append(group.SalesValue.sum())\n",
    "    \n",
    "list_of_date_bins_epdf = []\n",
    "list_of_sales_values_epdf = []\n",
    "for name, group in migrated_epdf_df:\n",
    "    list_of_date_bins_epdf.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_sales_values_epdf.append(group.SalesValue.sum())\n",
    "    \n",
    "offline_plus_webshop = [x + y for x, y in zip(list_of_sales_values_offline, list_of_sales_values_webshop)]\n",
    "\n",
    "plt.bar(list_of_date_bins_offline, list_of_sales_values_offline, label = 'Offline')\n",
    "plt.bar(list_of_date_bins_webshop, list_of_sales_values_webshop, bottom = list_of_sales_values_offline, label = 'Webshop')\n",
    "plt.bar(list_of_date_bins_epdf, list_of_sales_values_epdf, bottom = offline_plus_webshop, label = 'ePDF')\n",
    "\n",
    "plt.legend()\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.ylabel(\"Euros\")\n",
    "plt.title(\"Sales Value for Migrated Customers over Time\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Industry Breakdown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1d8eca5f490>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgwAAAEjCAYAAABelFlxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOydd3hUxfrHv7N9k92UTUJ6oaQ3QjQIgoWOiFJEBBSJF6T8UBBEuIpcBQtSlMtVREBEkCogYlAQBASJgEFKCARCTUIK6bvJ7mbb/P44Z8MSs0mAhIRkPs+TJ2fPzJl5z5z2Pe/MmZdQSsFgMBgMBoNRG4KmNoDBYDAYDEbzhwkGBoPBYDAYdcIEA4PBYDAYjDphgoHBYDAYDEadMMHAYDAYDAajTphgYDAYDAaDUSdMMLRyCCHXCCG97td2TQUhJIgQQgkhopZQz4NiR00QQh4lhGQQQsoJIYPuY72jCCG/3q/67hRCyHuEkO+a2g4Gwx7NVjDwDyQdf1PJJ4R8QwhRNLVdVprq4iaEiPg2SbBZN4p/OFRfl36/7WsMCCERhJCdhJAyQoiGEHKAENK1qe1qbJrDA4QQcpAQMraBi50L4HNKqYJSuuNeCyOErOHP/2eqrV/Crx8DAJTS9ZTSPvdaXy12PFAimsG4U5qtYOAZSClVAOgE4GEAs+9kY8LR3PfxjqCUmgD8CeBxm9WPAUivYd2h+2hao0AIaQ/gCIBUAG0B+AD4AcCvhJAudrZp0Lfq5viW3ly4y7YJBJDWwPVdBPBytXzDAFy+m3ruoF4Go9XwQDxMKaU3APwCIAoACCGPEEKSCSGlhJDThJAnrHn5N6IPCSFHAGgBtCOERBJC9hJCinlvxdt8XgEhZBYh5DIhpIgQsoUQouLTrC7dlwkhmYSQQkLIO3xaPwBvAxjOv+2f5tcnEkLO82/BVwgh4233gxDyFiEklxCSQwgZy5ffgU+TEkIW8XXlE0KWE0LkdprkEDhBYKU7gE9qWHeIL/tpQsgpvr2SCSEx1cp7mBByjhBSwntyZPx27oSQJH67YkLI4WoCrCMh5Az/5r/Zuh2/7ThCyCV+u52EEB+bNEoIeZ1vo0JCyMJahN17AP6klL5DKS2mlGoopUsBrOP32fZY/YsQkglgPyFEyLdnISHkCoAB1Y6FMyHka/543CCEfEAIEfJpYwghRwghnxFCigG8RwjpQAj5nd/XQkLIZjv2WnmFP865hJDpfLlehBAtIcTNxo54QkgBIURcR3nWdptAOHd+CSHkC0II4dPq2t/b3n6JjfeCECIjhHzHXwOlhJC/CCGehJAPwZ1Hn/Pn+ec2dvwfISQDQAZvx+Jq9f1ECJlawz5cBtAOwE98mVJCiA9/jhTz58y4anZu5e1TAxhjp3l+AvAoIcSV/90PwBkAeTZljSGE/GHzuw8h5AJ/TJfxx3esTd7q50B7Qsh+vp0KCSHrCSEufP51AAJs9ustfn1t96q2fJ0aQsheAO529o3BaB5QSpvlH4BrAHrxy/7g3kjmAfAFUATgKXCCpzf/24PPexBAJoBIACIASgC5AKYDkPG/O/N5pwI4CsAPgBTAVwA28mlBACiAlQDkAGIBVAII59PfA/BdNZsHAGgPgIB729cC6MSn9QN384oE4ADugUcBdODTlwDYCUDF2/gTgI/ttM3jAIr5/XcHcJ0vM99mnQXcDawTgJsAOgMQgnsLuwZAatPOZ/k2VoF7m/+AT/sYwHIAYv6vOwBis91xcG/8KgDnAUzg03oAKOTrlgL4H4BDNvZTAAf47QLAvR2OtbOveQASa1j/JAAzv9/WY7UWgCN/vCaA87pY9+sAn0fEb7+DP96OANrw+zKeTxsDwATgNXDnkBzARgDv8O0rA9DNjr1WWzbyZUcDKMCtc/lnABNt8n8G4H92ynoPNucYX24SABe+3QoA9OPT6trfa1YbqpcNYDy4882BP0fiATjZXE9jq9lFAezl65EDSACQA0DAp7uDO/c967q2+d+/A1jGt2tHfr962thpBDCIb3t5DeWtAfABgBXWtgWwBcAIAH8AGGNzXP+wsVENYAh/jKfw9Yyt5RzoAO5+IwXgAU6QL6llv+q6V/0J4FO+vMcAaFDtnsL+2F9z+mtyA+waxl185QBKwT0Ql/EX7UwA66rl3QPgZX75IIC5NmkjAJy0U8d5642J/+3N3zREuHXj97NJPw7gBX75vboubnAPpSn88mrYCAD+5kP5/wRABYD2NuldAFy1U64MgB6ciBkMYD2//qjNuqv8ui8BzKu2/QUAj9u08wSbtKcAXOaX5wL4EbyoqeH4vGjzewGA5fzy1wAW2KQp+HYN4n9T8A86/vckAL/Z2VeTbV6b9WF8Ob42x6qdTfr+avvVh88jAuAJTvzJbdJHADjAL48BkFmtvrXgHkh+Ndlpk89qS1i1tvmaXx4O4Ai/LAQniBLslHXbOcaX283m9xYAs+raX5vjZU8wvAIgGUBMDTYcRM2CoUcN11JvfnkygJ/ruLZtXwbMAJQ26R8DWGNj5yF7ZfF51oATDN3APYSdwYlnOewLhtHgPFfWMgiALNwuGDLrqHcQbO4tNbSx3XsVOMFnAuBok7YBTDCwv2b819y7JAZRSl0opYGU0kmUUh24/s9hvIuvlBBSCu5G4W2zXZbNsj/s92MGAvjBppzz4G5enjZ58myWteAefjVCCOlPCDnKu1ZLwT18rW5Gn2p22S57gHu7O2Fjy25+/T+glOrBiZfH+L/DfNIfNuus4xcCAUyv1l7+vD012XLdJm0hgEvgxgtcIYTMqmaKvbbx4cux2lsO7s3Ktx51VqcQtx9bK97gvCgldsqs3t7XbZYDwXlMcm3a5CtwnoaaygKAt8A9VI4TQtIIIa/Ysbem7W3370cAEYSQduDeOMsopcfrKMuW2trc3v7WxTpwD7JNfDfKgnp0kVRvn28BvMgvv8iXWR98ABRTSjU2667D/rliF0rpH+CumdkAkvj7RW31VpVLKaUAsqvlua1eQkgbQsgmvgtLDeA71N6NUNu9ygdACaW0wib/nRwzBuO+09wFQ01kgVPtLjZ/jpTS+TZ5aLX87Wspq3+1smSUGzNRF7Z1gBAiBbANwCJwrlgXcO5nwmfJBdf1YcXfZrkQgA5ApI0dzpQb8GkP6ziG7rglGA7brLMKhiwAH1bbRwdK6UY7tgSAcy+DcuMFplNK2wEYCGAaIaRnLTZZyQF3swQAEEIcAbgBsG3XGuusgX3gBq9V53lwb4ham3W2xyS3hjqsZIHzMLjbtIkTpTTSTlmglOZRSsdRSn3AufCXEX78iR3stakenGdgFICXUP8Ha13Utr8A58FysPntZV2glBoppe9TSiMAdAXwNLg3cKBaO9hQff13AJ4lhMQCCAfnXasPOQBUhBBlNdttzxV7NtTEd+C6H9fWke+265EfC+JXLU/1ej/m18VQSp3ACSNSS/7a7lW5AFz5a8NK9WPGYDQrHkTB8B2AgYSQvvxALxkh5AlCSPWL3UoSAC9CyFR+gJWSENKZT1sO4ENCSCAAEEI8CCHP1tOOfABB5NZgPQm4vsgCACZCSH9wbmErWwAkEkLCCSEOAOZYEyilFnBjJT4jhLThbfElhPStpf5D4Prx/QGc49f9AeAJcP3AVsGwEsAEQkhnwuFICBlQ7Qb9f4QQP8IN+HwbwGbehqcJN9iPgOvvNfN/dbGB39eOvJD6CMAxSuk1mzwzCCGuhBB/cP3H9gYRvg+gK+EGsqr44/cauAfazFps2ALgdX6/XAFUeUcopbkAfgWwmBDiRLjBr+0JIY/bK4wQMszmHCsB93CorS3eJYQ4EEIiASRW27+14Fzez4A7nxsCu/vLcwrAC4QQMSHkIQDPWRMIIU8SQqIJN+hTDa77yLpv+eAGKdYKpTQbwF/gBNC2Ot7ubbfLAtcd8jF/LccA+BeA9fXZvgaWgvPc1PWF0C4A0YSQQYT7AuL/YCOi7KAE301KCPEFMKNaevW2snuvopReB5AC4H1CiIQQ0g2cKGcwmi0PnGDgbzDPgnuwFYBT8TNgZ194V2dvcBdjHoAMcA9aAPgvuIGGvxJCNODGAHSuqZwa+J7/X0QI+Zuv53VwN+4SACP5sq12/ALuZnYAnJv/Tz6pkv8/k19/lHd37gMQWkv9yeD6ao/x7lRQSovAtclNSmkGvy4FwDgAn/N2XcI/R5pvAPcAvcL/fcCvD+btKOftXUYpPVh7swCU0t8AvAvO45ILzsPzQrVsPwI4Ae5BtgvcuIeaysoA58aNBddHnAtgKIC+lNIjtZixEpyb/TSAvwFsr5Y+GpzIOweuXbai5q4PKw8DOEYIKQd3XKdQSq/Wkv93cG39G4BFlNKqCYN4uy0A/q4mou6Fuvb3XXDHoQScCNtgk+YFbv/V4LrlfsctIfNfAM8R7quMpXXY8C24QZ536jUZAW7sRw64T2b/Qynde4dlAAAo9yXNb9ZropZ8heA8VwvAdZdFgHuAV9ay2fvgBvKWgTtnq7fxxwBm890Pb9bjXjUS3P2mGMB/ULdXhMFoUkgd1xWjkSCEhIP7OkFKubkVWg2EEAogmFJ6qaltaSoIIfsBbKCUrmpqWxoKQshj4IRGEO81e2DgPYXZAEZRSg80tT0MRnPkgfMwPMgQQgbz7kdXcHMI/NTaxAIDIIQ8DO5Nta65HB4Y+EGSUwCselDEAt9V4MJ3m70NbjzC0SY2i8FotjDBcH8ZD841eRlcH/HEpjWHcb8hhHwLrptnarUvAx5YeG9ZKbgunSVNbM6d0AXctVgIrstyUH3HXjAYrRHWJcFgMBgMBqNOmIeBwWAwGAxGnTDBwGAwGAwGo06aLAKbu7s7DQoKaqrqGQwG44HkxIkThZTSGmeBZTAakyYTDEFBQUhJSWmq6hkMBuOBhBDCppBmNAmsS4LBYDAYDEadMMHAYDAYDAajTphgYDAYDAaDUSdNNoaBwWAwGA3DiRMn2ohEolUAosBeBBl3hwXAWZPJNDY+Pv5mTRnqFAyEkNXgwt3epJRG1ZBOwAWoeQqAFsAYSunf92Q2g8FgMOqNSCRa5eXlFe7h4VEiEAjYbHyMO8ZisZCCgoKIvLy8VeAi6f6D+ijRNQD61ZLeH1xUw2AArwL48g7tZDAYDMa9EeXh4aFmYoFxtwgEAurh4VEGzktVc566CqGUHgIXftUezwJYSzmOAnAhhNQWJpjRjGFThTMYDyQCJhYY9wp/DtnVBQ3R1+ULLs67lWx+HeMBQ3+pBDlzkpG74C8UrD6Lkh8vQfPHDejSi2Es0IKaHogghAwGowm4fPmyuGfPnu0DAwOj/P39oxITE/31ej0BgOTkZPnmzZudrXmnTZvmM2fOHM+Gqnvq1Kk+O3bsUN7JNr6+vtG5ubl3PI4vKSlJuXfvXkd76evXr3d+++23ve603AeBhhj0SGpYV6PSJYS8Cq7bAgEBAQ1QNaMh0Z8vBqWAxF8JU6EO2utq0ErzrQwEELrKIHKTQeQm5/7c+WWVDETExloxGK0Ri8WCQYMGdRg7duzNKVOmXDaZTBg5cmTglClTfL/66qvslJQUh5SUFMfhw4eXNUR9JpMJItGtx9eSJUtyGqLc+rB//36lQqEw9+7du6J6mtFoxKhRo8oANMh+NjcaQjBkA/C3+e0HoMaDRyldAWAFADz00EPMfdbMMGRpIPFTwG1EGACue8JSYYSpSA9TkQ6mQl3VsvZUAajedGtjAghdpLyQkEHkbhUUcohcZSBiJiYYjJbKTz/9pJRKpZYpU6YUAYBIJMLy5cuz2rVrF/Pxxx/nfPzxxz56vV4QFhammD59ei4AnD9/Xp6QkBCak5MjmTBhQv7s2bNvAsCyZctUX375pafRaCSdOnWqWLt27XWRSAQHB4e4V199NX///v1OCxcuzO7bt2+5tf6hQ4cGPf3002WJiYklvr6+0c8//3zRnj17nE0mE9m8efOVuLg4fV5ennDo0KHtiouLxXFxcRXW7tcLFy5Inn766eCMjIw0AJgzZ45neXm58NNPP8354IMP2nzzzTceQqGQhoSE6BcvXpy9du1aD4FAQLds2eK2ZMmSzJUrV7q7urqaUlNTHWJiYrTR0dG6lJQUx7Vr12bm5OSIEhMTA2/cuCEBgE8//TSzT58+Fbt27VJMnz49AAAIIUhOTk53dXVt9i7chhAMOwFMJoRsAtAZQBmlNLcBymXcR6jJAsONcii63epNIoRAqJBAqJBAGuh0e35KYdGaOCFRpOfFBLesPVMIqqsmJpylvIio5p1QyZmYaEVQSrmPtygFtVCA/6MUNssUMFdbZ6Gc37JqmYKauf+wAEQqhMRPCSKsyeHZupix9bT/xTyNQ0OWGeKl1C58LjbLXnpqaqo8NjZWa7tOpVJZvL29DRkZGdJ///vfOdaHKABMmzZNfunSJVlycvKF0tJSYXh4eNSMGTMK0tLSpFu3blWlpKSkS6VS+uKLLwYsX77cbfLkyUU6nU4QFRWlq483wd3d3XTu3Lnz8+fP95g/f77n5s2br8+aNcunS5cu5YsWLcrdtGmT88aNG93rKmfp0qVe169fT5XL5bSwsFDo7u5uHj16dIFCoTDPnTs3HwBWrlzpfvnyZdmRI0cuikQiLF261M26/fjx4/2nTZuW37dv3/KMjAxJ3759g69cuZK2ePFir6VLl17v06dPRVlZmcDBwaHZiwWgfp9VbgTwBAB3Qkg2gP8AEAMApXQ5gJ/BfVJ5CdxnlYmNZSyj8TDklANmCql//boBCSEQOoohdBRDGuD0j3SL1vgPIWEq1EGXWgiLtpqYcJLe6tqw7eZwk4GIhQ21i4x6QI1m6C+UQJdWBHO54dYD+h8PeVQ9uG3zUGojAizglm23a0S/osBRBHmkO+RR7pC2dwYRMiF6v6CUghDyj6PLr69xmz59+pTK5XIql8tNKpXKmJ2dLdq9e7fy7NmzDrGxseEAoNfrBW3atDEBgFAoxJgxY0rqY8/IkSNLACAhIUG7c+dOVwA4evSocvv27ZcA4IUXXigbP368ubYyACA0NFQ3ePDgts8880zpqFGjSu3lGzJkSIltF4mVI0eOOGVkZMitv8vLy4UlJSWCRx55pPzNN9/0f/7554tHjBhR0r59+5YhGCilI+pIpwD+r8EsYjQJhkwNAEAScEfjhuwicBBD4iCGpAYBUiUmqnVz6NIKYakw3ZZX6Cy51bVh9U64yyFUySCQMDHREFhFgja1kBvHYjBD4CCCyF0OEAIICIgIgEAAgYDcWicAIOCXq9YRbig1sS5zv8lt29lfd/t2fB3V1xGbevn/ZnUldGeLoD1VgIrjeSByEeQRbpBHu0PWwaVVja+pzRPQWERHR+t+/PFHV9t1xcXFgry8PEl4eHjl0aNH/+HxkEqlVQJDKBTCZDIRSikZNmxY0RdffHGjen6JRGKp6aFcEzKZjAKASCSiJpOpSrEIBP88D0QiEbVYbj2v9Xp9VaYDBw5k/PLLL8odO3a4LFiwwCcjI+NsTfUpFIoaH/iUUqSkpJxXKBS3iamPPvoob9CgQWU//vijc9euXcN37959MS4uTl+vnWtC2EyPDACAIVMNoYsUQidpo9dVq5jQWbs5dDAV6qu8E7q0IlgqjLeX4ySBxE8JeZgKslBXCJ0b3/aWAjVaoL9YzImEc7dEgkNHD8ij3SFt5/LAufcdoj24/cooge5sIXRphdCeyAeRCSEPd4M8yh2yEBfmtWoEnnnmGc3s2bMFn3/+udvkyZOLTCYTJk2a5D9s2LBCpVJpcXJyMpeXl9ep2vr166ceMmRIh7fffjvf19fXlJ+fLywrKxOGhIQY7tXGRx55RLN69Wq3BQsW5G7ZssVJrVYLAcDPz89UXFwsysvLEzo7O1v27Nnj3LNnT7XZbMbly5clAwcO1PTp06fcx8dHVVZWJlQqlWbrtnXRrVs39SeffNJm3rx5+QD3tUjXrl11aWlp0oSEBF1CQoLu2LFjjmfPnpUxwcB4YDBkahrMu3AvCOQiSPyUkPjVICb0ptu7OQp0qLxSCv25IgCA2NsRsjAVZGEqSPyV3NsnowpOJJRAm1rAeRIqeZEQ6wF5jDuk7R58Nz4RCzjPQoQbqMkC/eVS6FILoT9XBO3JmyASIWThKk48hLoyL1UDIRAIsGPHjkuvvvpq4MKFC70tFgt69OhRtnTp0hsA0L9/f82iRYu8w8LCIqyDHmsiPj5eP3v27Bs9e/YMsVgsEIvFdOnSpZkNIRjmz5+fM3To0HYRERHhXbp0Kff29jYAnKdj+vTpuQkJCeF+fn6VHTp00AOAyWQiI0eObKvRaISUUjJ+/Ph8d3d389ChQ0ufe+659r/88ovLkiVLMmurc8WKFVljx44NCAkJiTCbzaRz586arl27Zi5YsKBNcnKyk0AgoCEhIbrnnnvugfiqgjTVRD0PPfQQTUlJaZK6GbdjVhuQ+9ExOD/dDspuD9YUGpRSmPK10KUXQ59eDEOmGrAAAgcRpCGukIeqIA1xhdBR3NSmNglWkaBLLYDORiTII905T0Ir6eunZgsqr5RxnoeznLeKiAWQhbpy3RZhKgikD8b7EyHkBKX0Idt1p0+fvhYbG1vYVDYxWg6nT592j42NDaop7cG4QhiNiiFTDaDhxi/cTwghEHs5QuzlCKcn/GHRGqHPKIX+QjE3eO9UAUC4uSVkYSrIQlUQ+zjaHYjVEqhyy6cWQneu6JZIiHaHQ4xHqxEJthChALJgV8iCXeHybAdUXrWKB05AQEQgC1FBHu0OebgKAhm7NTIY1WFXBQOVWRpASCDxUTS1KfeMwEEMh1gPOMR6gFoojDfKOe/DhWKof70O9a/XIVBKuDfLMBWkwS4PzJtlbVCT1ZNwSyQQeesWCfYgAgJZexfI2rvAZWB7GDLVXLud5bouSoQEsg4unHiIcIPAoXV6pxiM6jz4d0rGPWO4robEV9HiRpITAYHEXwmJvxLOvQNh1higv1AC/YVi6FILoU3JB4QE0rbOkIW6Qhamgshd/sB4H2oVCdHukHZwYSKhDoiAQBrkDGmQM5wHtIMhW8N5HVILod+agRLBJUjbO1eJB6FC0tQmMxhNBhMMrRxqtsB4oxyOCS1y6vPbEColcHzIE44PeYKaLTBcV0OXzgmIsl1XUbbrKoQqWdVXF9J2Ls1uUilqsuluSLMRCVHucIhxh7R96/qEsCEhAgJpgBOkAU5w7t+W807x4qF0+yWU/nAJ0nbOkEe5Qx7pDqETEw+M1gUTDK0cY54W1GiBJPCfky+1ZIhQAGk7F0jbuQBPtYWpWA/9xWLo00tQ8VceypNzQMQCSNu78F9euELkImsSW6nJAv2lUujOFHCeBL0ZRMaJBHmMO2RMJDQ4hJCqr3Wc+gbBmKflBo6mFqL0x8so3XkZkkAnzvMQ5Q4R+6SX0QpggqGV8yAPeGxIRCoZFI/4QPGID6jRzI2oT+cGTurTuejuIk8HyMJUkIeqIAlUNqq7v2aRIKz6uqG1TUbUlBBCIPF2hMTbEc59gmDMr6ga81D20xWU/XQFkgAlJ+Ci3CFSNY2wZDAaG3bHaeUYMjUQKCVs0iMbiFgIWagKrs92gNeMh+A5LR7OA9pCqBCj/PANFKw4g5x5R1G04TwqTuTDrLnnT8QBcCJBl16M4u8vIueDYyhakwbduSLII9zgNiYSPrMfgWpYCORhKiYWmhCxpyOcegXCc2o8PKfHw6lvEKiZouznq8hb8BfyPz8J9cEsmAp1TW3qfUUoFMaHhYVFhIaGRkRERITXFgK6NoYPHx544sSJeqmupKQk5ZNPPtnhTsqvT2jtpKQkJSEk/rPPPquKN3HkyBE5ISS+rm3XrVvnUh/7GzrE9/2AeRhaOYZMNaQBygdmoN/9hhACcRsHiNs4QNndDxa9CZWXSqu8D7oz3KfvYj8FP/ZBBbGvot6TRlVNLnSGH5OgN3GehAg3yGM8mCehmSP2cID4SQc4PenPTW9+tgjas4VQ774G9e5rEHs7cp6HaHeI2zRoPKhmh1QqtaSnp58DgG3btjm9/fbbfr17975wp+Vs3rz5esNbd+cEBwfrtm7d6vrGG28UAsB3332nCg0NrVMF7tixw8VkMpXFx8c3+5kb7xQmGFox5nIDTEV6OCZ4N7UpDwwC69iBKHdQSmHMqYDe+tnmb5lQ78uEQCGGLIT76kIW7AqB/PbLjImElonITQ7l435QPu4HU4keurNF0J0thHrvdaj3XofI04EbnBrtDpGnQ4sW6WVlZUJnZ2cTvyzo169fh7KyMqHJZCJz5szJefHFF0vVarXgmWeeaZebmyuxWCzkrbfeyhk3blxJQkJC6KJFi7Iee+wx7datW53mzJnjazabiUqlMv35558X7dU5bdo0n6ysLMn169el1UNmz5w502vz5s3uPj4+Bjc3N2NcXJzWXjlWfH19DRqNRpiVlSXy9fU17d+/37lXr15VMzKmpaVJJ0yYEFBcXCySyWSWVatWXS8sLBTu27fP5ejRo8pPPvnEe9u2bZd3796t/OabbzyMRiMJCgqq3Lp161WlUmk32JS9kNj5+fnCUaNGBWVmZkrlcrllxYoV1zt37nxf3VhMMLRiDFkNG3CqtUEIgcRXAYmvAk49A2CuMKLyYgl06cXQnS+G9u+bgACQBDpDHuYKkbscuvPFnEjQmUCkQsgj+QBJwa5MJLQgRK4yKLv7QtndF+aySujSiqBNLYRmfyY0v2VC0c0XLk+3a5zKd/yfP26ea1h3RpsILQZ9UWtQq8rKSkFYWFhEZWUlKSwsFP/8888XAcDBwcGya9euSyqVypKbmyvq3Llz2MiRI0u3b9/u5OXlZTx48OAlACgqKrptnu6cnBzR5MmTgw4ePJgeFhZmyM/Pr3Me75pCZh8/flz+ww8/qFJTU88ZjUZ07Ngxoj6CAQAGDRpUsm7dOteHHnpIGx0drbUNmDV27NjAFStWXI+Ojq7cv3+/48SJEwOOHj16sVevXqVPP/10WWJiYgkAuLm5maZPn14IAK+//rrP0qVL3d95552b9uq0FxL7rbfe8omNjdXu27fv8s6dO5Uvv/xyW6tH5yVXVW4AACAASURBVH7BBEMrxpCpAQQEYt8Hf8Km5oDQUQyHuDZwiGsDaqYwZKmrBk2W/XINADiRYI2iGMJEQmtA6CyFoqsPFF19YNYYoEsrgtir5XVP2HZJ7Nu3zzExMbHtxYsX0ywWC5k6darf0aNHFQKBADdv3pRkZ2eLOnXqpHvnnXf8J06c6Pvss8+W9evXr9y2vIMHDzomJCRowsLCDADg6elZZzjqmkJmHzhwQPHUU0+VWt/q+/TpYzdMdXVGjx5dPHTo0Pbp6enykSNHFv/xxx8KgPOanDx5UjFs2LD21rwGg6FGl9GJEyfkc+bM8dVoNMKKigrh448/XmvcCHshsY8fP67ctm3bJYAL9vXqq6+KioqKhG5ubnW2S0PBBEMrxpClgdjbkQXgaQSI0GZCoL5BMJdVwliogzTQiYmEVoxQKYHikUbuAqzDE3A/6NWrV0VJSYkoNzdXtG3bNueioiJRamrqealUSn19faN1Op0gJiam8u+//z63bds253feecd337596kWLFlUFpqKU3nG3TU0hswHcdfdPQECASSwW00OHDjmtXr060yoYzGYzlEqlqT5v+K+++mrbrVu3XurSpYtu6dKlbr///nutLl17IbFrivtECLmvwaDYnauVQi202USobA0InaVsvgRGq+HkyZMyi8UCT09PU1lZmdDd3d0olUrpTz/9pMzJyZEAwLVr18RKpdIyadKk4qlTp+afOnXqNrfLk08+WXHs2DFlenq6BADq0yVREz169CjftWuXS3l5OSkpKRHs3bvX5U62f//992/MmzcvWyS69X6tUqksfn5+htWrV7sCgMViwZ9//ikHAIVCYVar1VUXularFQQEBBgrKyvJpk2bVHXVZw2Jbf2dnJwsB7jw3N98840bwH3F4erqalKpVHbHQjQGzMPQSjHd1IIazJAEtK4JmxgMRuNgHcMAcG/DX3755TWRSISxY8cW9+/fv0NUVFR4ZGSktm3btnqAc9X/+9//9hMIBBCJRHTZsmW3fR3h4+NjWrp06bXBgwd3sFgscHNzMyYnJ2fcqV3dunXTDh48uDgqKirS19e3MiEhoarrY8GCBR4A8NZbbxXY2753794VNa3fuHHjlXHjxgV+8skn3iaTiQwePLi4S5cuulGjRhVPnDgxaPny5Z5bt269PGvWrJyEhIRwX19fQ3h4uLa8vLxW4WMvJPYnn3ySM3LkyKCQkJAIuVxuWbNmzdU7bYt7hYW3bqWUH89F6fZL8JrxEERu8ro3YDAYzQIW3prRmNQW3pr5R1sphusaCBxFELJZ6RgMBoNRD5hgaKUYstSQ+Du16G/BGQwGg9FwMMHQCrHoTDDd1EESyAY8MhgMBqN+MMHQCqmasMmfDXhkMBgMRv1ggqEVYshUAwSQ+LMJmxgMBoNRP5hgaIVUZmog9nSEQMq+qmUwGAxG/WCCoZXBJmxiMBiNgTW8tfXvwoULknsp78KFC5Lg4ODImtbLZLJO1lDacXFxYadPn5beS11NwbZt25ysbeXg4BAXFBQUFRYWFjF48OCg6nnttcX9hr1itjJMhTpQvYkJBgaD0aDYxpJobPz9/SutdS1cuND9/fff996+ffu1xqjLZDLBdpbHhmLo0KHqoUOHngMA2widDV5RA8I8DK0MQ6Y1QiUb8MhgMBqX5ORkeWxsbFhISEhE79692xcUFAhrW3/48GGH0NDQiI4dO4Z9+umnbWovnUOtVgtdXFzMAPdwHz9+vF9UVFR4SEhIxMKFC90BYMCAAe02b97sbN1m6NChQWvWrHGxlz8pKUnZuXPnkIEDB7YNDQ2NBIBevXq1j4yMDO/QoUPkokWL3K1lffbZZ+5BQUFRCQkJoS+88ELg6NGjAwAu2mbfvn3bR0VFhUdFRYX/+uuvjvXZn/fee88zODg4Mjg4OHLu3LlVbWAymTBkyJCgkJCQiH79+rXTaDQCAHjzzTe9o6KiwoODgyNHjBgRaLFws0WfPXtW2rVr15DQ0NCIiIiI8LS0NCkAzJ492zMkJCQiNDQ0YtKkSb71sckK8zC0MgyZahCZCCJ3Nrsjg9ESeffIu/6XSi41aDjMDq4dtPMenVev8NYA5wHYu3fv5TFjxrT97LPPMgcMGFA+depUn5kzZ/qsXr06y976f/3rX0HW9ePHj/ezV1dWVpY0LCwsoqKiQqDX6wXJycnpALBkyRJ3Z2dn89mzZ8/rdDry8MMPhw0cOFA9fPjw4s2bN7sOHz68TK/XkyNHjjh9++231+3lB4AzZ844njx5Ms0aLXP9+vXXPD09zeXl5SQuLi7ixRdfLNHr9YJFixZ5//333+dcXFwsXbt2DYmMjNQB9sNU19aGhw8fdtiwYYPbiRMnzlNKER8fH96zZ0+Nu7u7+dq1a7KvvvrqWp8+fSqGDRsWtHDhQo+5c+fmz5gx46Y1aNegQYPabtq0yXnkyJFlI0eObPvmm2/mjR49ulSr1RKz2Uy2bNnitGvXLtcTJ06kK5VKy53G52CCoZVhHb9ABGzCJgaD0XBU75IoKioSajQa4YABA8oBYNy4cUXDhg1rV9/1r7zyStH+/fuda6rLtkti5cqVrq+88krg4cOHM/bt2+eUnp7usHPnTlcA0Gg0wnPnzsmee+65srfeeitAp9ORbdu2OSckJGgUCgW1l18ikdCYmJgKq1gAgE8++cRz165dLgCQl5cnTktLk+Xk5Ig7d+6ssYbeHjx4cMnFixdlgP0w1a6urnYDRh08eFDx1FNPlTo5OVkAYMCAASUHDhxQDhs2rNTLy8vQp0+fCgB46aWXipYuXdoGQP4vv/yi/PTTT730er2gtLRUFBERoSspKdHk5+dLRo8eXQoADg4OFADdu3ev04svvlhoDfVdn5DhtjDB0IqwVJpgzK+AMtKtqU1hMBiNRF2egObK3YSzBoARI0aUvv7660F8GWTx4sWZQ4cOVVfP98gjj2i2b9/utHnzZtcRI0YU15Y/KSlJ6eDgYLH9/fvvvytTUlLSlUqlJSEhIVSn0wlqi8VkL0x1bdRWXvW2IYRAq9WS6dOnBx47duxchw4djNOmTfPR6/V27brbNrbCxjC0IgzZ5QAFpIFs/AKDwWhc3NzczE5OTubdu3crAODrr79269KlS7m99e7u7maFQmHes2ePAgDWrFlTZyhoANi7d6/S39+/EgB69+5d9uWXX3pUVlYSADhz5ozUGmr6hRdeKF6zZo37X3/9pRwyZIi6rvy2lJaWCp2dnc1KpdJy8uRJ2enTpx0BoHv37hXHjh1TFhQUCI1GI3788UdX6zb2wlTXRo8ePcp//vlnF41GI1Cr1YKff/7Z9cknn9QAQG5urmTfvn2OALBhwwZV165dy7VarQAAvLy8TGVlZYKffvrJFeDCb3t5eRnWrVvnAgA6nY5oNBpBv3791OvWrXO3jn9olC4JQkg/AP8FIASwilI6v1q6M4DvAATwZS6ilH5zJ4YwGh9DJieiJX5swiYGg9H4fPPNN1cnTpwY+PrrrwsCAgIqN27ceK229V9//fW1sWPHBsnlckuPHj3+4SWwYh3DQCmFWCymy5cvvw4Ab7zxRuG1a9ek0dHR4ZRSolKpjD///PNlABg8eLB6woQJbXv16lUqk8loXfltGTp0aNmKFSs8QkJCItq3b6+PjY2tAIC2bdsa33jjjdyHH344vE2bNsaQkBCds7OzGbAfprq29urWrZt25MiRRZ06dQoHgJdeeqng0Ucf1V24cEHSrl07/erVq90mTZoU2LZt28o333yzQKlUWkaNGlUQERER6efnZ7DaBQDffffd1XHjxgXOmzfPRywW0++///7yc889p/77778dOnbsGC4Wi2mvXr3KPv/88xv1PZ51hrcmhAgBXATQG0A2gL8AjKCUnrPJ8zYAZ0rpTEKIB4ALALwopYaaygRYeOumoPDbNJgKdfCa/lDdmRkMRrOEhbduXpSVlQmcnZ0tRqMRffv27TBmzJhC69iBB5F7DW+dAOASpfQKLwA2AXi2Wh4KQEm4zhEFgGIAprs3mdHQUGqdsIl1RzAYDEZDMWPGDJ+wsLCIkJCQyICAgMoXX3zxgRULdVGfLglfALaDaLIBdK6W53MAOwHkAFACGE4p/cdIUELIqwBeBYCAgIC7sZdxl5iL9bBUGNmETQwGg9GArFixIrupbbhf1MfDUNOQyur9GH0BnALgA6AjgM8JIf94laWUrqCUPkQpfcjDw+OOjWXcPWzCJgaDwWDcC/URDNkA/G1++4HzJNiSCGA75bgE4CqAsIYxkdEQVGaqQSRCiD0bdD4XBoPBYLQS6iMY/gIQTAhpSwiRAHgBXPeDLZkAegIAIcQTQCiAKw1pKOPeMGRqIPFXsAmbGAwGg3FX1CkYKKUmAJMB7AFwHsAWSmkaIWQCIWQCn20egK6EkFQAvwGYSSllI3abCRaDGcbcCtYdwWAwGIy7pl4TN1FKf6aUhlBK21NKP+TXLaeULueXcyilfSil0ZTSKErpd41pNOPOMOaUAxYKiT8b8MhgMBqH6uGt3377ba+7LSsuLq7Ru7TXr1/vfC82VmfOnDmebdu2jQwODo4MDQ2N+Pzzz+9qSt2kpCTl3r176xWoqj7MnTu3jXWipnuFTQ3dCjBctw54ZIKBwWA0Dg0Z3vrkyZPpDVGOPYxGI0aNGlUGoKwhyluwYIHH/v37nU6cOHFepVJZioqKhBs2bHC5m7L279+vVCgU5t69e1dUTzMajRCLxXdU3ldffeU5bty4Ymv8iHuBCYZWgCFTDaGbDEKFpKlNYTAYrQxfX9/o559/vmjPnj3OJpOJbN68+UpcXJw+JydH9Nxzz7UtLS0VdezYUXvw4EGnEydOnPf29jY5ODjEabXak0lJScq5c+f6qFQq44ULF+TR0dHaHTt2XBUIBDh8+LDDtGnT/LVarcDV1dW0fv36a4GBgca0tDTphAkTAoqLi0UymcyyatWq63FxcfqhQ4cGubq6mlJTUx1iYmK00dHRupSUFMe1a9dmDh06NEipVJpPnz7tWFBQIJ43b152YmJiidlsxssvvxxw9OhRpb+/f6XFYsGYMWOKEhMTS2z38bPPPvPat2/fRZVKZQG4abFfe+21IgD48ccflbNmzfI3m82IjY3Vrl279rpcLqc1tYuDg4Nl7dq1HgKBgG7ZssVtyZIlmStXrnS3tXvkyJHF06ZNC9Dr9QKZTGZZs2bN1djY2EqTyYRJkyb5HTx40AkAXn755UJKKW7evCl+/PHHQ1xdXU3Hjh27eC/HkgmGFg6lFJWZGsja1xj0jcFgtDBy3n7HvzIjo0E/h5IGB2t9Pvqw3uGtAWD69Om548aNKwEAd3d307lz587Pnz/fY/78+Z6bN2++PmvWLJ/HH39c8/HHH+dt3brVaePGje41lXv+/Hn5qVOnrgQFBRnj4+PD9u7dq3jiiScqXn/99YBdu3Zd8vHxMa1cudL1zTff9P3++++vjR07NnDFihXXo6OjK/fv3+84ceLEgKNHj14EgMuXL8uOHDlyUSQSYenSpbd1GeTn54tTUlLST506JRs8eHCHxMTEkrVr17pmZWVJLly4kHbjxg1RVFRU1JgxY4pstyspKRFUVFQIIyMjK6vbrtVqyfjx49v++uuvF2JiYioHDx4ctHDhQo85c+bctNcuo0ePLlAoFOa5c+fmA8DKlSvdbe0uLi4WHD9+PF0sFmPHjh3Kt956y2/Pnj2XFy9e7HH9+nVpWlraObFYjPz8fKGnp6f5yy+/9Pz9998vent73/NkikwwtHDMZZWwaAyQsIBTDAajEamtS2LkyJElAJCQkKC1hpI+fvy4YseOHZcA4LnnnlM7OTnVGGo5Ojq6on379kYAiIyM1F6+fFmiUqlMGRkZ8h49eoQAgMVigYeHh7GsrExw8uRJxbBhw9pbtzcYDFWfhg0ZMqREJKr5sffMM8+UCoVCxMfH64uKisQAcPjwYcWQIUNKhEIhAgICTI888oim+na1RYA8ffq0zM/PrzImJqYSAMaMGVP0xRdftAFw01671ISt3cXFxcLhw4e3vXbtmowQQo1GIwGA/fv3O02YMKHA2mVxp6Gr6wMTDC2cqgmb2IBHBqNVUJcnoCmwBnsSiUTUZDIRoPZQzrZIpdKqjEKhECaTiVBKSYcOHXSnTp26baxDcXGxQKlUmuwJF4VCYbcf32qjrW31sVGlUlnkcrnl3LlzkoiIiNviJ9W1fU3tUpfdM2fO9H388cc1e/fuvXzhwgVJjx49Qq11EULqHUr7bmDhrVs4hkwNiFgAsXeDDbplMBiMeyYhIaF83bp1KgDYvn27k1qtrneo5ZiYGH1xcbHIGu65srKSpKSkyFQqlcXPz8+wevVqV4DzPPz55591hpW2R/fu3ct37NjhajabkZWVJTp27FiNb15Tp07NnTBhQmBxcbEA4ITLokWL3Dt27Ki/ceOG5OzZs1IAWLt2rVv37t3/4aWwRalUmjUajd22UKvVQj8/PwMAfPXVV1XdOL169VIvX77cw2g0ArgVutrR0dFcVlbWIM96JhhaOIZMNcS+ChAhO9QMBqPxsI5hsP5NmjTJt7b88+fPz9m/f79TRERE+K5du5w9PDyMLi4u9XKjy2QyumnTpsuzZs3yCw0NjYiMjIz4/fffFQCwcePGK9988417aGhoRHBwcOS2bdvu6msFAHj55ZdLvL29DSEhIZGJiYmBsbGxFTXZ+NZbbxU89thj6k6dOkUEBwdHPvroo2EODg4WBwcHunz58mvDhg1rHxISEiEQCPDmm28W1Fbn0KFDS3ft2uUSFhYWsXv3bkX19JkzZ+a99957fp06dQozm2+Z8sYbbxT4+fkZwsLCIkNDQyO+/vprFb8Phf379w/u3LlzyN22g5U6w1s3Fiy8deNDTRbc+E8yFI/6wuWptk1tDoPBaABaSnhrnU5HRCIRFYvF2Ldvn+PkyZMDG+qzzIbEGr46Ly9P+PDDD4cfOXIkPSAgoMVGY64tvDUbw9CCMeSUA2YKKZt/gcFgNDMuXbokef7559tbLBaIxWL61VdfXWtqm2qid+/ewWq1Wmg0GsmMGTNyW7JYqAsmGFowtyJUMsHAYDCaF9HR0ZXnz59vdh6F6hw/fvxCU9vQXGAd2y0YQ6YaQhcphE7SpjaFwWAAMFlM+OLUF0gtSG1qUxiMO4Z5GFowhkwN8y4wGM2EbE02Zh2ehdMFp2G2mBHtEd3UJjEYdwQTDC0Us9oAc2klJI/WOlCZwWDcB5KuJOGDox9AAAEWPLYA/dv2b2qTGIw7hgmGFoohUw0AkAQyDwOD0VRoDBp8eOxD7LqyC3Ft4jC/+3z4KHya2iwG465gYxhaKJVZGkBIIPH5x2e8DAbjPnDq5ikM+2kYdl/djUkdJ2F139UtWixYw1sHBwdH9u/fv529kMr3I3S1PQ4dOuQwZswY/zvZZtq0aT5z5szxvNO6CgsLhfPnz/e40+2aM0wwtFAMmWpIfBQgInaIGYz7idlixvLTyzFm9xgAwJp+azAxdiJEAs6h21Rz3zQ21lgSGRkZaWKxmC5evPi2h6XJxH2N2Bihq62zG9bFY489pl2zZs19mTq7qKhI+PXXX7epKc3aFg8a7GnSAqFmC4zZ5WzAI4Nxn8kpz8Ere17BF6e+QL+2/fD9wO/RsU3HqvQyrRGvrjuB3Wdzm9DKxqdbt27lly5dkiYlJSk7d+4cMnDgwLahoaGRAODg4BAHAElJScqHH3449KmnnmoXFBQUNWnSJN8vv/xSFR0dHR4SEhKRlpYmBYANGzY4x8TEhIWHh0d07do1JCsrSwRwb/4jRowIfPTRR4OHDBnSNj4+PjQ5OblqGuhOnTqFHTt27LZpoZOSkpRPPvlkB+v2w4YNC0pISAj18/OL/uCDD6oe7jNnzvQKCgqK6tq1a0hGRkbVZ2YJCQmhhw4dcgCA3Nxcka+vbzQApKSkyKKjo8PDwsIiQkJCIlJTU6XTp0/3y8rKkoaFhUWMHz/er3pbTJkyxWfevHlVdb722mu+tjY0R9gYhhaIMU8LarRAEsAiVDIY94vdV3dj7p9zYYEFH3X7CAPbD7wt/Ux2KSat/xv5aj2eCG08T/Vva8/7F98ob9Dw1ipfhbbn6PB6vZkbjUbs2bPHqU+fPmoAOHPmjOPJkyfTwsLCDNXzpqeny7du3XqlTZs2psDAwGipVFqYmpp6ft68eW0WL17cZvXq1Vm9e/cuf+GFF9IFAgE+/fRT97lz53qtXLkymy/b4dixY+kKhYL+73//c1u1apV7165ds86cOSM1GAykc+fOutpsvXTpkiw5OflCaWmpMDw8PGrGjBkFx48fl//www+q1NTUc0ajER07doyIi4vT1lbO//73P49JkyblT5w4sViv1xOTyYTFixdnP/3003Lr7JVJSUlK27a4cOGCZPDgwe3ffffdm2azGTt27HD966+/ztenjZsKJhhaIFUDHpmHgcFodCqMFfj42Mf48fKPiPGIwfzu8+GvvNVNTinFd0evY17SebgrJNgyvgviAuxGMn5gscaSAIDOnTtrpkyZUrhv3z5FTExMRU1iAeBCVwcGBhoBICAgoLJ///5lABAbG6v7/ffflQBw9epVyaBBg/wKCgrEBoNB4O/vX2ndvl+/fqUKhYICwJgxY0oWLlzoXVlZmb18+XL3kSNH1jlVdp8+fUrlcjmVy+UmlUplzM7OFh04cEDx1FNPlSqVSos1T13ldOnSpWLRokXe2dnZkhdeeKEkOjq6sqZ8tm0RGhpqcHFxMR05ckSem5srjoyM1Hp5eTV4SOqGhAmGFoghUwOBUgKhC5uwicFoTFILUjHz8EzcKL+B8THjMT52PMQCcVV6eaUJ/96eip9O5+DJUA98+nxHuDpKGtWm+noCGhrrGIbq6x0cHOyGlLYNXS0QCKrCPQsEApjNZgIAkydPDpgyZUreqFGjypKSkpRz586tGjnq6OhYVbZSqbR0795dvWHDBpedO3eqTpw4UecskjWFzgYAQmqONC0Siag14JNWq63KNGHChOLu3btX/PDDD879+/cPWbZs2bXQ0NB/iIbqbZGYmFi4atUq95s3b4oTExOL6rK3qWFjGFoghkw1JAFKuyc9g8G4N8wWM1alrsLoX0bDaDFidd/VmBw3+TaxkJ6nxjOf/4FdZ3Iwo28ovn754UYXCy0RjUYjDAgIMALAmjVr3GrLO2HChMKZM2f6x8bGVnh6et7V23qPHj3Kd+3a5VJeXk5KSkoEe/furYp26e/vX3n8+HFHAFi/fn2Vm+jcuXOS8PDwytmzZ9/s06dP6alTp+TOzs7mioqKWp+xL730UumBAwecT58+7Th06NCyu7H3fsI8DC0Mc4URpiI9HBO8mtoUBqNFkleRh7f/eBt/5f2FvkF98e4j78JZ6nxbnu9TsvDuj2ehlImxYdwjeKRdrc85Ri288847OSNGjGjv6elpeOihhyoyMzPtuk67d++udXR0NCcmJt515M5u3bppBw8eXBwVFRXp6+tbmZCQUG5NmzVrVv7w4cPbbdq0ya179+5q6/p169apvv/+ezeRSEQ9PDyMH3/8cY6np6c5Pj6+PDg4OLJHjx5lAwcO/IcgkMlktGvXrmoXFxezSNT8H8csvHULQ5dejKI1afB4NQbSds51b8BodCwWikW/XsCWlGw80k6Fp2O88URoG8jEwqY2jXGH7L2+F+8lvwejxYh/J/wbgzoMus2TpzeaMefHs9iSko0u7dzw3xEd0UYpa1AbWkp468bg2rVr4ieeeCL08uXLZ4XC5n99mc1mREZGRnz//feX7Y17uN+w8NatCMN1NSAAxH5swqbmQEWlCW9sPoVfz+Wja3s3/Hm5CElncuEoEaJXhCcGRHvjsRAPJh6aOVqjFgv+WoBtGdsQ6RaJTx77BIFOgbfluVJQjknr/0Z6ngav9eiAqb1CIBSwbsH7xeeff+72wQcf+H700UdZD4JYOHHihOzZZ58N7t+/v91Bks0NJhhaGIYsDcTeCggkzf+CaenklOow9tsUpOep8d7ACLzcNQhmC8Wxq8VIOpOD3Wfz8OOpHCilIvSO8MSAGG90C3aHVMSOXXPiXNE5zDw0E9fV1/GvqH/h/zr+H8RC8W15dp3JxcxtZyAWEqxJfBhPhDbrz+lbJJMnTy6aPHlysx84aCU+Pl6fnZ39QIUtZYKhBUEtFIYsDRzi7u5mlVWsxc7TOXipSyCcZOK6N2DY5VRWKcatTYHOYMbqMbceICIhwaMd3PFoB3fMfTaK9zjkYE9aPrafvAGlTIS+kV4YEOONR9u7Q8Jm6mwyLNSCtWlr8d+T/4VKpsKqPquQ4J1wWx6DyYKPfj6PNcnXEBfggi9GdoKPixzUaITp5k0Yc3O5v5xcGHNzYMrNgzE3F86DBsHtlcQm2jMG4+5ggqEFYbqpBa00QxJ45xM2ZeRr8OLXx5CvrsT3KVn4YlQnRPqwMRB3w0+nc/Dm96fRxkmK9WM7I8Sz5vkwxEIBHgvxwGMhHvhgkAVHLhci6XQu9qTlYeuJbDjLxejHi4cu7d0gFjLxcL+4qb2Jd/54B0dzj6JXQC/8p8t/4CLjBstTSmEpK0P2hav4cksyyrNuYImKIr6yEoaJXyAjNxemmzcBy+1fEwpdXCDy8YbY3x+iNswDwXjwYIKhBVHJT9gk9b+zCZvOZJfi5dXH4Sgw4a1YC9ZeMWLwsmTMfSYSwx/2Z59n1hNKKf77WwaW7MvAw0GuWP5iPNwU9ZsLQyIS4MnQNngytA0qTVH4I6MQu87kYldqLjanZMHVQYx+UV54OsYHnduqIGLiodE4cOlXLP31PShL9PjU7Rl0PO8H3f5PobZ6C3JzQbXcxH8v89sQsRiVPt4Qe/vAsUsXiL29Ifbxhsjbm1v28oLAoUEnX2Qw7jtMWmyEmAAAIABJREFUMLQgDJkaCBxFELrVf1T2sStF+Ne3KXBxEGNquAln/z6B/zz6GNZfd8as7ak4fq0YHwyKgoOEnSq1oTeaMWPrGfx0OgdDO/nhoyFRdz0WQSoSome4J3qGe0JvNOPQxQLsSs3FzlM52Hg8C26OkirxkNBWxQbW3QGUUphLSmy6CKzdBbmozLmBssxL8CrT46OqLbajEIDQzY178Ldti/O+EdhXTCDz9carw7oiIKwdhCoViICJOEbLhj0FWhCGTDUk/k719ggcSL+JCd+dgL/KAeteScDG1V8CAFKOHsHi8ROw8Ywr/vtbBs7eKMOyUZ3QoQ2barombmr0eHXtCZzOLsXMfmGY8Hi7BvPKyMRC9In0Qp9IL+iNZhy8cBNJZ3Kx/e8bWH8sE+4KKZ6K9sKAaG88HKSCoJWLB4teD2NuLicEbMSAKe/WMq28fUA6kclA27jhorQEWUGV8O/QCY/GDYLczx9ib2+IvLwgkEqRr9bjtY0ncfxqMUb2D8CcpyPY1y3VmDlzpte2bdvcBAIBFQgEWLZs2fUePXpU3EuZcXFxYY0R4ZJx59RLMBBC+gH4LwAhgFWU0vk15HkCwBIAYgCFlNLHG9BORh1YdCaYburg0LF+faNJZ3IwddMphHkr8W1iAsqL8qBWq9GnTx8cOnQIP+9Kwusvv4z4QFdM3XQKz3x+BB8PicazHX0beU8eLM7lqDH2279QojVi+Yvx6BvZeBNmycRC9IvyRr8ob+gMZuxPv4ldqTnYkpKFtX9eRxulFE9Fe+PpGG90CnBt8eLBUlkJ7fG/UH7oEHR//w1jbi7MxcW3ZyIEIg8PiLy9IA0Lg+LJJ2/rLhB6e2Fz7i589vcSuEhd8EG3/6GrT9d/1HXkUiGmbDqJikozPhsei8FxfvdpLx8c9u3b57hnzx6X1NTUc3K5nObm5ooqKyvv+SRkYqH5UKdgIIQIAXwBoDeAbAB/EUJ2UkrP2eRxAbAMQD9KaSYhhI3ouc8YsjQA6hdwavNfmfj39lTEB7ri6zEPw0kmxp8HUyESiRAfHw+ZTIadO3fi5MmT6B4fj12vd8drG//GlE2n8Ne1YswewN6sAGDvuXxM2XQSznIxvp/QBVG+92+QqFwixIAYbwyI8UZFpQm/pd/ErjM52HA8E2uSr8HbWYanorn0OH+XFjMOxXjjBsoPHUL574dQcewYqE4HIpVC3ikOyshIiH24MQMib2+IfXwgbtMGRFLzdMyFukLMPvIOjtw4gif8nsD7j74PlUx1Wx6LheLzA5fw2b6LaO+hwMZxnRBsZxBra+fGjRtilUplksvlFAC8vb1NAHD48GGHadOm+Wu1WoGrq6tp/fr11wIDA40JCQmh0dHR2tOnTzsUFxeLvvnmm6sffvih94ULF+TPPvts8dKlS3MALhy2Vqs9CQCzZ8/23LJlixshBD179ixbtmzZjeTkZPnEiRMDdTqdIDAwsHLDhg3XPDw8zAkJCaHx8fHlf/zxh5NGoxEuX778Wr9+/crt7wGjLurjYUgAcIlSegUACCGbADwLwDawx0gA2ymlmQBAKb3Z0IYyaseQqQYIIPGr/Wa26vAVfLDrPB4P8cDyF+MhlwhhNpuRlpaG0NBQSKVSxMXF4cyZM9i7dy9CQkLg5azE/7N33mFNne8fvjOAsDeyRWXLdGvde1Trwo2jah1trbWODrvbb2t37bJ1r1q3reLeVqoWBQ0o4pYtQ3ZISHJ+f0SogxEQKvbHfV29QpNz3vOemOR8zvM+z+f5dWo7vth3mZ+PXycmMYcfx7TE3fb/ZxKXIAj8fPw6i/bGE+RiydLxrXCwqF03v+pgaiRlULAzg4KdKVCqOXQpnZ3nU1n71y2W/3kDFytjnbgIdCLI1fKpEg+CSkXRuWidSDh+DNXVawAYuLlhNXQoZl06Y9KmDWJZ9d7/40nHefvk2xSWFLKw7UJG+Ix45H3JKlDy6qbzHE/IYHCIMx8PCcTUqP6v4u776Ru3zMRbtfrltHNrXNRnxuxKm1oNHjw475NPPnH28PAI6NixY97o0aOze/bsWThr1iz3iIiIq87OzuqlS5daz50712Xz5s03AQwNDbVRUVGXP/zwQ4ewsDDPv//++5KDg4Paw8Mj8M0330y/v3vjpk2bLCIiIqzPnj0bb25urk1PT5cATJw4scnXX399e8CAAQWzZ892XrBggfOKFSsSAdRqtUgul1/auHGj5QcffODct2/fhNp8X/6/oc+n3wW4/4OSBLR9aBtvwEAkEh0FzIFvBUFYUyszbEAvlLfzMWhkglhW/j+pIAh8ffAKiw9dYUCgE1+PDCmr8b9+/ToKhYLAwEBA16nt2Wef5aeffmLv3r2EhYVhIBHzRn8/WnnY8NqmGAZ8d4IvwoLrNARfH1Gptby1Xc7ms0kMCHLiy7BgvaItgiCgvnMHqZ0dojp0oTMzkvJciAvPhbiQV1zCwYvpRFxIZeXJG/xy/DpuNsYMCHTm2SAnmjvrn+/yb1KSfofCE/eiCJGRaAsLERkYYNK6NdZhYZh26oxhE48azV2pUfJV1Ff8Gv8r3tbeLO+9HE9rz0e2O3srmxfXR5NdpOJ/QwIZ3aahWqgqLC0ttbGxsRf37t1rfujQIfMJEyY0mzNnTsqVK1eMu3fv7g2g1Wqxt7cvKd1nyJAhOaBrZ+3p6akobXXt5uamvH79uqGjo6OidNsDBw5YjBs3LrO07XSjRo00WVlZkvz8fMmAAQMKAKZOnZoVFhbWtHSfsLCwuwAdOnQonDdvXkPnr8dEH8FQ3rfk4QYUUqAl0AMwBv4SiUSnBEF4QM2JRKIXgBcA3N3dqz/bBsqlzLAp0K7c17VagQ8jLrLy5E1GtHLlk6FBD2TWy+VyZDIZnp7//HDa2dnRpUsXDh8+TFBQED4+PgD08m9ExKxOvPjrOaatPcvUTk2Y39f3/4VHQHahiulrz3LmZjav9PBidk8vvS4iglpNyutvkLdrF2ITE2T+/sgCAzEODEAWGIiBq2udXIwsZAYMbeHK0Bau5BaVsP9iGhHyVJaduM6SY9fwsDW5F3lwxs/pyXU3FdRqFBcuUHDsOAXHj6O8dAkAqaMjFs8+i1mXzpi2bYvY1PSxjnPl7hUWnFjAlbtXGOc3jtktZ2MkebDsVRAElv95g0/3xONibcy2GR3+1aWm2qCqSEBdIpVKefbZZ/OfffbZ/KCgIMWSJUvsPT09FTExMeXmIdzfzvrhVtelraZLEQSh2p/R0vGlUmlZu+wGao4+giEJcLvv/12BlHK2yRQEoRAoFIlEx4Fg4AHBIAjCL8AvoGs+VdNJN/Ag6iwFgkKNYTn+CxqtwOtbL7D5bBLPP9OEhQP8HkiGU6lUxMfHExAQwMPd0jp06EBsbCwRERF4eHhgZKT7cXWzMWHz9PZ8tOsSS0/c4NztHL4fE4qTpXHdnugT5Ep6PpNXR5GWV8zi0aEMCnbWaz9BrSZl/gLydu/Getw4EAQUsXLurl9PtkoF6Ax9ZAEByAKaYxwYiCwgEINGtZsGZGliQFgrN8JauXG3UMX+i2nsupDKkmPX+eHINZramTIgyIlng5zxbmRW5+JBnZVF4Z9/6kTCyZNoc3NBIsGkRQsc5r6GaefOGHnpJ8iqQhAEfrv8G19GfYmpgSk/9viRTq6dHtkuV1HCvM3n2X8xnT7NG/F5WHCD42k1OH/+vJFYLKa0L0J0dLSxl5dX8fHjxy0OHjxo2rNnz0KlUimSy+VGrVq1Kq7u+H379s37+OOPnadOnZpduiTRqFEjjYWFhWbv3r1mffv2LVi+fLlt+/btG/IU6gh9BMPfgJdIJGoCJAOj0OUs3M/vwPcikUgKGKJbsvi6NifaQMWobt1LeHzI4VGl1jJ7YzS75WkV3hEnJCSgUqnKliPuRyqVMnDgQJYvX86hQ4fo379/2WtGUgkfDg6gdRMb3th6gQGL/+SbkSF09ravgzN8shxLyOCl9ecwMpCw8YV2hLpb67WfTizMJ2/3HhzmvobtlCn/vFZSgvLKFRTyWIpj5SjksWQtXQYa3ZKt1MHhnyhEQCDGAc2RWFnVyvlYmxoysrU7I1u7k1WgZF9cOhHyFH44cpXvDl/F08GMAYFO9GnuWGuRB0GrpTguriyKUCyXgyAgsbPDvEcPzDp3xrRDeyQW1XcprYzs4mzeOfkOx5KO0dGlIx8+8yF2xo9G4uRJucz89SypOcW8/aw/zz9TsyWP/8/k5eVJZs2a5Z6XlyeRSCSCh4eHcvXq1bdu3LiRMWvWLPf8/HyJRqMRzZgxI70mgmH48OF5586dMwkJCfEzMDAQevbsmfv9998nr1y58saMGTMaz5o1S+zu7q7csGHDzdo/uwZAz/bWIpGoP7qSSQmwQhCEj0Ui0XQAQRCW3NtmHjAJ0KIrvfymsjEb2lvXHne3X6HofAbO77RHdC96oFBpmL7uLMcSMlg4wI8pnZqWu+9vv/1GUlISc+bMQVyB8czu3bs5c+YMU6ZMwdX10XKyaxkFzFx3joQ7+bzc3YtXenj9Z8yEVkfe5P2dcfg4WrBsQitcrPSLoghqNcnz5pG/Zy8O8+ZhO/n5KvfRKhQUX4ovExDFsbGobtwoe93Aze0fAREYgMzf/7HD9PeTWaBkT2waERdSOH0jG0EAJ0sZXX0c6OZjzzOedtVK+tPk5FBw8iSFx49TcOJPXcmjSIRxcLBumaFzZ2R+fnVmeBSZHMlbJ98iT5nHnFZzGOM75hERIAgC60/f5oOdF7E1M+T7MS1o2Vg/QfikaGhv3UBdUll7a70EQ13QIBhqj/RvzyE2M8B+si5KkFdcwpRVUfx9K5tPhwYysnX5+SIKhYIvvviC1q1b07dv3wrHVyqV/PDDD8hkMqZNm0Z5rWMVKg0Ld8Sy9VwSz3ja8u2oUOz0tEWuj5RotHyw8yJrT92ip18jvh0VovfFUigpIXnefPL37sVh/vzHajKkyc+nOC4OhVxOsTwWRawcdUqq7kWxGKNmTZEFBCILDMA4IAAjX1/EFZQRVoc7+cUcvZzBkfg7nLiSSYFSjaFETNumNnT31VlYe9g9KFYEQUAZH18WRVDExIBWi8TKCtNOnXRRhI7PILWu2wuySqPi23PfsubiGppZNmNR50X42Pg8sl2hUs2b2+X8HpNCF297vh4Zgo1p/c+LaxAMDdQllQmG+l8j1EClaJVqStIKMe+uEwVZBUomrDxDfGo+340O5dmgitfaL126hEajKXc54n6MjIwYMGAAGzZs4OTJk3Tu3PmRbYwNJXw5Ipi2TWx4+/dY+n97gu/HtKBNE5tyRqzf5CpKeHH9Of68msm0zk2Z39dX74iJUFJC8tx55O/bh8OCBdhOmvhYc5GYm2Parh2m7dqVPafOynpAQBQcO0bu9u26Fw0MkHl76wTEvXwIo2ZNEUmr91V3MJcxopUbI1q5oVJribqZzeH4Oxy5fIf3d17k/Z0XaWpnSi8PM3oU3cI5PhrFnyd0TZcAWfPm2E2fhlnnzsgCA+u0MuR+rudcZ8GJBcRnxzPKZxSvtXoNmfTRksuE9HxmrDvLjcxC5vb2ZmZXz/+80VUDDTwuDYLhKUeVVAACGLmbk5ZbzNhlp0i6q2Dp+FZ08608cU4ul2NjY4Ozc9UJfD4+Pvj7+3Ps2DH8/f2xsyu/ImNEazcCXCx58ddzjF56inl9fHihU9On5sf4ZmYhz6/+m8TsIj4bHsSIVm5V73QPoaSE5Nfmkr9/Pw6vL8B24sQ6maPU1hbzrl0x79pVd1xBQJ2a+kA+RN6uCHJ+2wiAyNgYmZ/fA8sZBo0b671GbygV08HTjg6edrw1wI9bZ+OI/30vwv5IXBMvIxW0pBnISPYMwvi5cIKG9MWx6b/rhCgIApsTNvP5359jLDXmu+7f0dWta7nbbjuXxFvbYzE1krJuSls6NCv/s9xAAw08SINgeMpR3dYlPKabSRi7JJKcohLWPN+Gtk1tK90vPz+fGzdu0LlzZ70vHP369ePatWvs2rWLCRMmVLifv7MFf7z0DK9vlfPpnnj+vpHNlyOCsTKp3+Hev65lMWP9WQDWTm5Luyrew/sRSkpInvMa+QcO0OiN17GZMKHqnWoJkUikczV0dsaiT2/dfLRaVDdvPZAPcfe3jQhKnT2K2MIC44DmDyxnSB0dEYlEaLVaIiIicHFxoUWLFmiLiig8fZqC48cpPHackpQUGgNG3t4YTZrItSbB7BPZc/hKNqkZxfDLeQJcbui6b/o6EOxqVac5LXmqPN7+820OJx6mvVN7Pu74MfYmjybfFpdoeH9nHBvOJNK2iQ3fjQ59ooZbDTTwtNGQw/CUk7k6jqK0Qoar8yjRaFn9fBuCXKvOpj916hR79+7lxRdfxN5e/8qGs2fPsnPnTgYNGkSLFi0q3VYQBNb8dYuPIi7iYC7jx7EtCHarnUz/2mbj37d5a3ssjW1NWDGxNY1t9U8mFFQqkl97jfwDB2n05pvYjA+vw5nWHEGtRnn16gPLGcqEK6BWAyCxs8M4IIDrns04UqCrTOucnY3z0WMIKhUiExNMO7THrFNnzDp3wsDJ6cHxBYHL6fm6pYv4O5y9dRetADamhnTxtqebrwNdvOyxNKm9UkWNVsP0g9OJSo9idovZhPuHIxY9mkR5M7OQmevPcTE1jxe7NePVnt5PbYvwhhyGBuqShhyG/yiCIFB0M5dDKiWYwKZp7fX2uZfL5Tg6OlZLLABlttH79+/H29sbMzOzCrcViURM6OBBsJsVL64/x/AlkSwc4M/49vqHw+sajVbg0z06P4lOXnZ8P6YFlsb6X9AElYqkV+dQcOgQjd56C5vwcXU428dDJJUi8/VF5usLYWGArrujMj6+bDkj51I8J62tsMvLQ6zVcsLBgb4jRxLQvRvGLVtWmlApEonwdbTA19GCmV09ySlScSwhg6OXMzh6+Q7bo5ORiEW0dLemq6893X0d8Gn0eGWb30V/x6nUU3zQ4QOGeA0pd5s98lTmbbmAVCJi5cTWVS7VNdBAA+XzdErsBgD4OyYNsULDLSMRW6Z30FssZGVlkZycXGWyY3mIxWIGDhxISUkJe/bs0WufEDcrImZ1pJOXPe/+EcdLG6IpUKqrfezapkCp5oU1USw9cYPx7RuzcmLrmouFhQvrtVioCLFMhnFICDbh43BetIjrL0ylRCbj2WHDCJ87FycXFw4IWjKcnKpdfWFlYshzIS58PTKEqIW92DqjAzO6NKNAqeazvZfp+80JOi46wlvb5Ry6lI5Cpal60Ps4dOsQy2OXM9x7eLliQaXW8v7OOGasP4engxm7Xu7YIBbqkGvXrhn06NGjWePGjQPc3NwCJk2a5FZcXCwCiIyMNN64cWOZZeacOXOc33nnnUa1dexDhw6ZBgUF+fr6+vo3bdq0+Zw5cypNzNq1a5d5t27dHvUEb6BSGgTDU8rh+HRWbY4FYNqooGo1goqN1e0XEBDwwPOCoKVYmVbl/nZ2dnTu3Jm4uDgSEvTr5WJlYsiy8a2Y39eHPfJUBn33J5dS8/Sec22TdLeI4T9FcjQhgw+ea84HzwVUK0StValIemW2Tiy8vRCbcWPrcLb/DsnJyURFRdGmTRs8unfHvFkzxo4di5WVFb/++ispKQ8bvOqPRCyiZWNr5vbxYfcrnTj1Rg8+HRpIc2cLtkcnM3l1FMEf7GfCijOsjrzJ7ayiSse7kXuDt06+RaBdIG+0eePRc8lRMPKXv1h58iaTnvFg07T2uFr//2yW9m+g1WoZPHiw56BBg3Ju3boVe+PGjdjCwkLxK6+84gIQFRVlEhERUWse22r1gzcckydPbvLzzz/fio+Pv5iQkBA3duzY7Ap2beAxaBAMTyF/nE/hhTVnaW8sAwMxjp7617ULgoBcLsfd3R1LS8v7ntdw8eJcIiM7k19Qdfv5Z555Bnt7e3bt2oVSqdTr2GKxiJldPfl1ajsKlGoG/3CSTVH/vu392Vt3GfzDSZJzFKyc2Jrx7T2qtb9WpSJ51isUHDmC47vvYDP26RcLWq2W3bt3Y2pqSrdu3cqeNzU1JTw8HGNjY9atW0dmZu0skztayhjVxp1fxrci+p1erJvclnFtG3M7u4h3/4ij8+dH6PHlUT6OuEjktUxKNNqyfYtKinj1yKsYig35qutXGEoejHwcuXyHAYtPcCW9gB/HtuDdgc3LGq01UDfs3LnT3MjISPvKK69kgc4ldsmSJYkbN260y87OFn/yySfOO3futPb19fVfunSpNcClS5eM27Rp4+Pq6hr40UcflYV+fvzxR5vAwEA/X19f/zFjxjQuFQcmJiahs2fPdg4KCvI9dOjQA2uh2dnZUnd395LSY7ds2bIY4MiRIyahoaG+fn5+/qGhob7nz59/xBwmLy9PHBYW5hEQEODn5+fnv27dOiuAqKgoWek8vL29/eVy+dNrLFNLNOQwPGX8evo2b+2Q09rDhp5KI6QyaZm7oz6kp6eTmZnJgAEDyp4TBC3x8QtJS/8dEJOctA5f348qHUcqlTJo0CCWL1/O4cOH6devn95zaNfUlohZnXjlt2jmb7nAmRvZfPhcAMaGdV+rvyM6mflbL+BkKeO3F1rh6aDfMk4pWpWK5JdnUXDsGI7vvYv1qFF1NNN/l+joaJKTkxkyZAiyh1pFW1paEh4ezooVK1i7di3PP//8A2LzcTGSSujoZUdHLzveGejPjcxCjtzzfFgdeYulJ25gbiSlo5cdXX3s+TP3a27k3eCXXr/gaPpPt1S1RsvXBxP44cg1/Jws+HFsC5rY1Z4T5tNC9pYEt5K0wloNpxg4mhbZDPeuUN3L5XLj4ODgB8JCNjY2WicnJ9WVK1eM3njjjZSoqCjTNWvW3AaYM2eO8dWrV2WRkZGXc3JyJH5+fgHz5s3LiIuLM9qyZYtNVFRUvJGRkTBu3Dj3JUuW2L700ktZCoVCHBAQoPjmm28eCXW98MIL6X5+fgFt27bN7927d+6LL76YZWJiIgQHBxefOXMm3sDAgB07dpjPnz/fdd++fdfu3/fNN9906tatW97mzZtvZmZmSlq1auU3aNCgvO+++85+5syZ6TNmzMguLi4WPRzV+P9Ig2B4ivjl+DX+tzuerj72/DgihOyPz2DSuXr17nK5HLFYjL+/P6CLOCQkfEBK6iY8PF5CWZxKWvrveHouQCqt/GLq5uZG69atOX36NIGBgeXaRleEvbkRaye35duDCXx35Cqxybn8MLYFzewrTqJ8HLRaga8PJvDd4au0aWLDz+NaYl1NVz+tUknSrFkUHjuO4/vvYz1yRJ3M9d+mqKiIgwcP4u7uTlBQULnb2NnZMW7cOFatWsXatWuZNGkSprVoS30/TexMadKxCc93bEKhUs2fVzPLBMTBlM3IGh3EWjmEk7HWGKlzCHKxJLNQyawN0Zy6ns2o1m68N6i5Xm3H/20EQSAyMhIvLy8cHP47+RT3Okk+UnJXWYfJ3r175xgbGwvGxsZqGxubkqSkJOnevXvNY2NjTYKDg/0AiouLxQ4ODmoAiUTCxIkT75Y31hdffJE6adKk7F27dlls2rTJdvPmzbZnzpy5nJ2dLRk5cmSTmzdvykQikVBSUvLIZI4ePWqxb98+q8WLFzsCKJVK0dWrVw3bt29f+MUXXzglJSUZjho16m5pU63/zzQIhqcAQRD46oDuYjcg0ImvR4YgJOWDVsDQXf87ZK1Wi1wup1mzZpiamiIIAlevfUpS8lrc3afQtMls8vIvkJq2ldS0Hbi5Vl0e2KNHD+Lj4/njjz8qtI2uCIlYxJzePrRobM2rG2MY9N2fLBoeVKk7ZU1QqDS8tjmG3fI0RrRy5aPBgdUOUWuVSpJefpnC4yf+U2IB4PDhwxQXF9O/f/9KKxacnZ0ZM2YM69atY/369UyYMKGsg2ldYWokpU9zR/o0d+Tv1L+ZcmAvjWXtkBb14fvDV1h86Aq294RfoUrNl2HBDGv575pG6YtWq2Xv3r2cOXOGwsJCevfuXSfHqSwSUFcEBgYqfv/99wfWRrOzs8VpaWmGfn5+ylOnTj0S8bi/nbVEIkGtVosEQRCFhYVl/fDDD8kPb29oaKh9uKPu/TRv3lzZvHnzjDlz5mTY2tqGpKWlSRYsWODSpUuX/AMHDly7fPmyYffu3R/xCBcEgS1btlwNDg5+QBC0aNGiuFOnToXbt2+37Nevn/ePP/54c9CgQfl6viX/SRoW9uo5Wq3A+zsv8t3hq4xs5cbi0aEYSsVlhk3VEQyJiYnk5eWVVUdcv/ENt28vw9U1HM9mryMSibAwD8LcvDnJyevRx6NDJpMxYMAA7ty5Q2RkZI3OsauPAxGzOuHrZMFLv0bz7u+xKNXVy5iviPS8Ykb+8hd7YtN4s78vi4YF1UwsvHRPLHz4wX9KLNyf6OhobwupF+Dsatg9Dy7+/sj2Hh4ehIWFkZqayoYNGygpKflX5plemM7c43NxN3fj18Ffs23GM0Qt7MU3I0N4xtMOf2cLfn+xY70VC2q1mm3btnHmzBnat29Pz549n/SUapVBgwblFxcXi7///ntb0J3vzJkz3cLCwjLNzc21FhYWmoKCgiq/eH379s3btWuXdXJyshQgPT1dkpCQUGUo8LfffrPUanV5LnK5XCaRSAQ7OztNXl6exNXVVQXw888/l2vp2a1bt7wvv/yyUen+J0+eNAa4ePGioZ+fn3LhwoV3evfunRMTE6Nf57n/MA2CoR6j1miZt+UCqyJvMqVjEz4dFljmmKe6nYfERobETP+wulwuRyqV4uPjw82bP3Hz5vc4O43A2+udsjtLkUiEi8tYCguvkJOrn7GWr68vfn5+HDt2jKysrOqfKOBsZcxvL7RjSscmrP7rFiOW/EViduWZ8lURm5zLoO//5OqdAn4Jb8ULnZtVu+Zfq1SS9OJLFP75J05jd50sAAAgAElEQVQffYj1Pf+Cpx6tBm36RXZvWYupgZZuid/AJ67wcyfYOQvOroJN42HLZFA8GAX28fFh8ODB3Lx5k61bt6LR1I64q4gSTQmvHXsNhVrBN92+wcxQt2xlY2rI4FAXFo8OZe3ktvg4Vi8f5d9CqVTy66+/EhsbS69evejTp0+FnWGfVsRiMTt27Li6bds268aNGwc0adIkwMjISLt48eJkgH79+uUnJCQY35/0WB4tW7YsXrhwYXKPHj28vb29/bt37+6dmJhYZa3zunXrbJs2bRrg6+vrP378+CbLli27IZVKWbBgQdp7773n2qJFC9+KPqeffvppilqtFvn6+vp7eXk1X7hwoQvA2rVrbby9vZv7+vr6X7lyRTZt2rSa/bj9h2hweqynKNUaXtkQw964NF7t6c2sHp5lFztBEEj95AyyppbYjPLVazyNRsOXX35JkyZNaNuugCtXPsKx0XP4+3+OSCR5aNsi/jzZAVvbrgQ0r7RLeRn5+fl8//33ODs7M378+Mcy49kbm8a8LecRAV+NCKGnf/XLtffGpjJ7Yww2JoYsm9Aaf2eLao+hLS7WiYXISJw++hCrYcOqPUa9QKuFuzcgJRqSz+keU89ztqQJO+nFEMkRgl3NwDkEXFqAcyhYusGfX8OxRWDqAIN/hGbdHhi21C00JCSE5557rs7MuD4+9TG/Xf6NL7p8QR+PPnVyjLqisLCQ9evXk5qaynPPPUdISMhjj9ng9NhAXdLg9PiUUaRSM23tWU5cyeSdZ/15vmOTB17X5KrQ5qkwdNf/Inj9+nWKiopo2jSRK1d+wMG+H35+nz0iFgAkEhMcHYeSnPwrKq9MDA2rbs5jbm5Or1692LVrFzExMYSGhuo9t4fpG+CIn5M5M9efY8qaKKZ1acq83j56+SQIgsCPR6/x+b7LhLpb8XN4SxzMq98vQFtcTNLMFyn86y+cPvoIq2FDa3Iq/z6CALmJ/wiDlGhIiQFlru51qQwcgygKCueg3Ax3WxuCphyG8nJPuswHz56wfRqsHQxtp0PP98BAF5lt164dCoWCY8eOYWxsTO/evWtdNOy8tpPfLv/GxOYTnzqxcPfuXdauXUteXh6jRo3Cx+fRFtsNNPA00SAY6hm5ihImr/qbc7fv8tmwIEa0frRbouq2zvCoOvkLcrkcF9fb5OQew86uB82bf4VYXPE/v6vLGJKSVpOSsgUPj+l6HaNFixZcuHCBffv24eXlValtdFU0tjVl64wOfLDrIj8fu070rRwWjw7F0bLii79SreGNrXK2RSczKNiZz4YH1ShTXqtQkPTiixT+dQqn//0PqyGDa3wedU5e6n3C4J5IKLoXORUbQKPmEDhMFzVwbgH2viCRcnjXLopLztL/uWGVt552aQHTjsPB9+D0Erh2GIb+ohsP6Nq1KwqFgr/++gsTExM6depUa6d2OfsyH/z1Aa0dW/NKi1dqbdx/g/T0dNauXYtarWb8+PG4u7s/6Sk10MBj0yAY6hGZBUrGLz/DlTv5fDe6BQOCnMrdTnU7H6RiDJz0K2tTqVTcyYjA0/M4NtYdCWj+HWJx5bkPpqaeWFm1JTllA40bTy03EvEwpbbRS5YsYe/evQwfPlyv+VWEzEDC/4YE0sbDhje3yxmw+ATfjgqlo9ejEY/MAiXT1p7l7K27zOnlzcvdPWt0t6tVKEicOZOiU6frn1gozNRFC1Luix7kp+peE0nAwQ98+v0jDho1B+mjVQyliY5t27bF0dHxkdcfwcAY+i0C7z6w40VY1hO6LICOcxBJpPTt2xeFQsGhQ4eQyWS0bt36sU81V5nL7COzsTCy4LPOnyGtRNzWN27dusWGDRswMDBg0qRJNGpUaw7IDTTwRHl6voX/cVJzFYxddpqUHAVLx7eiq0/FNdqq23kYupoh0tPK+IJ8NZ6exzCWBRIUtASJRL9SOFeXscTGzSIr6zh2dt2q3gGwt7enU6dOHD16lODgYLy8vPTarzIGh7oQ4GLBjHXnCF9xmtk9vHmpu2dZAujltHwmr/6bjHwl348JrXFZplahIHHGTIpOn8b500+wfO65x557jVHkQGrMP8IgORpyb997UQR2XtCkyz1xEAqOgWBYtVdPRY6OetGsO8yMhIi5cORjSNgHQ39BbNuMwYMHU1xcTEREBMbGxo/YjlcHraDljRNvkFaUxqq+q7AzrnpJrL4QHx/Pli1bysyurKzqZ3fWBhqoCQ2CoR5wM7OQsctOk6soYc3zbWnTxKbCbQW1FlVKAWYd9LsoZmYeISfncwoLHejcaTUSSeWVQdriYsT3nP7s7XthaGhHUvJ6vQUDQMeOHYmLi2PXrl3MnDmzVmr1PR3M+f2lZ3hreyxfH0wg6lY234wM4UJSLi9viMbYUMLGae0JqWH7bG1RkU4s/P03zos+xXLQoMees94oCyDtwoNJidn3mdFZe4BrK2gzVbdE4BgEsuoncULljo56YWwNw5frIhkRc2BJR+j9EZJWzxMWFsa6devYtm0bMpkMT8+a9fb5+fzPnEg+wcK2Cwm2D67RGE+C6Oho/vjjD5ycnBg7dmydGVs10MCTokEwPGHi0/IYt+wMGq2WDVPbEehaueWuKqUA1AKGblVfMLKzT3JBPpPCQiuMDOdiaFj5Prk7d5GyYAFm3bthM348Jq1b4+w0gpu3fkKhSMLYWL8ad6lUysCBA1mxYgVHjhyhb9++eu1XFSaGUr4aEUybJja8+0ccvb8+zt0iFb6OFiyf2Aony5qVSWuLikicPoOiqCidWBg4sFbmWy4lxZAmfzDvIOMycK9aycJVV60QMkYnDpxCwKRiAVkd9HF01JvA4dC4A+yYqRMOl/dg+Nz3jB49mlWrVrFx40bCw8OrvXZ/POk4P53/iUHNBjHC5+nwuxAEgZMnT3Lw4EGaNWvGiBEj6tzQqoEGngT/rWLgp4zo23cZ+fMpJGLYNK19lWIBKDNsMmpcecLj3Zy/OX9hGmKRI/ILPQgMbFvp9oJWS+aPPyK1t0fxdxS3x0/gxrBhmMfZAiKSU37T+7wA3N3dadWqFadPnyY5+RHTthojEokY3cadbTM6YG1qSL8AJ7bMaP94YmHa9HtiYVHdiAW1Ek7/Aks6wScusLwn7JkHVw+AVWPo+jqM2QRzr8CcOBi1HjrP1S0B1JJYAP0dHfXGwhnGbYN+n8PNE/Bje4yv7yM8PBxzc3N+/fVX0tKq7n5aSmJ+Iq+feB0fGx/ebvd2nZVp1iZarZZ9+/Zx8OBBAgICGD169P9bsSASiVoOHjy4rKSrpKQEa2vr4Jq2kXZxcQlMTU195KZ2/fr1lm+++aYeyTdPlg8++MAhPz+/1q6xr7/++gPnHBoaql9NfS3SIBieEJHXMhm77DSWxgZsmd4Br0b6VTyoEvORWBohsaj4Ryk37zznz09BJnMmMXE4FhZOODtXvoRRcPgwqhs3cJg/D8+jR3B87z2EYiVZ8xdhHG9I8rXVqLLuVOsce/bsiZmZGX/88Uetm/sEuFhycE4XfhjbAhPDmgXKtIWFJL4wjaKzZ3H+7DMsBz5bq3NErYKoFbA4VCcQJIbwzCswch28elEnEMZu0gkG7z5gVne9BR5wdNQn0VFfxGJo+wJMOwHWjWHzBMz2v0b4iMEYGBiwbt06srOr7jSsUCt49ciriBDxVdevkElrsFzyL6PRaNixYwenTp2ibdu2DB06lMqsi//rGBsbay9fvmxcUFAgAti+fbtFo0aNat0KdOzYsbn/+9//9FeiT4iff/65UUXuljVpZLV48eIHsuCjo6OrbitcyzQIhifAwYvpTFz5N67Wxmye3h43G/0by6lu5VVaTpmfH0dMzEQMDWzw9vqRa9cyCAgIqPRuTRAEspYuw8DVFYs+fRAbG2M9aiRNd+3EbekvWKd6o5YWEftaN1LfeRfltWsVjnU/MpmM/v37k56ezl9//aX3Of4baAsLuT1tGkXnzuH8+WdYPjug6p30RVMC59bC9y1h16tg4QLjf4cpB6HHO+A3ECxd4F+6g36sREd9sfeGyQegy+sg34z1r/0I7+6PRqNh7dq15OdXbMEvCAIfnfqIhLsJfNrpU9zMHy0lrm+oVCo2bNjAhQsX6NGjB3379v3PuTfWhB49euRu3rzZCmDDhg02w4YNK1OLFbWaVqvVvPDCC67e3t7+3t7e/h9//HGZcv7ss88c/P39/by9vf2jo6NlAIsXL7YdP368O8CwYcM8Jk6c6BYaGurr6uoauHLlyjIXybfffrtRQECAn7e3t/+rr75a7h3Tli1bLPz9/f18fHz827dv7w06O+qePXs28/b29g8ODvY9ffq0McCcOXOcw8LCPB5uyZ2Xlyfu2rWrp4+Pj7+Xl1fzpUuXWn/00UcOd+7cMejSpYt327ZtveHR9tz3R1COHz9u0qZNGx+A3Nxc8fDhwz1K349Vq1ZZzZw500WpVIp9fX39Bw0a1KR0PNB9v6dNm+bq5eXV3Nvbu8xJc9euXeZt2rTx6du3b9MmTZo0HzRoUJNS++ua8v9XDj8hfo9JZs6m8zR3tmD1pDbV6pioyVOhyVFi+IxLua8XFCQQHTMBqcSM0NB1nD+v60FT2juiIhRnz6I4f55Gby9EdN8dkkgsxqxTJ3w7PkPW8U4oB2nJfW8HOZs2YdqpEzbjx2Pa8ZlKxYifnx++vr4cPXoUf39/bGxqL8ReUzQFhSROm4YiJgaXLz7Hon//2hlYqwH5Zjj6qc5Z0TkUBnwNnj3+NXFQHo+d6KgvEgPo9gZ49YZtU3H4fRRjA15i9WV1WYdLY+NHl442Xt7IH9f+YGbITDq51p6PQ11RVFTE+vXrSUlJYeDAgbRs2fJJT+kBduzY4Xbnzp1abW/t4OBQNHjw4CqbWoWHh2e/++67TiNHjsy5dOmSyeTJk7MiIyPNACpqNf3ll1/a37p1yyguLu6igYEB6enpZTXcdnZ26osXL1769NNP7T/99NNGGzduvPXwMdPT0w2ioqLiY2JiZEOGDPGcNGnS3W3btllcvXpVduHChUuCINCzZ0/PPXv2mPXr16+gdL+UlBTpSy+95HH06NF4X19fVelx58+f7xwcHFx08ODBa3/88Yf5hAkTmsTHx18EKK8l97Zt2ywcHR1Ljh49ehUgKytLYmtrq/npp58aHTt2LMHJyUkNUFl77vt5/fXXnSwsLDQJCQkXATIyMiQTJ07MWbVqlUPpPO5nzZo1VnK53PjSpUtxqamp0jZt2vj17t27AODSpUvGMTEx1z08PEpatmzpe+DAAbM+ffoUPDyGvjRI4n+R9advMXtjDK0aW7N+Sttqt1dWJVZs2FRUdIPomHBEIgNCQ9dibOyCXC7H0dERe3v7SsfNWroMibU1VkPLdzMUicS4eYynyOoOTnuWYTfrZYovXSJx6lSuDxzI3U2b0BYXVzh+//79kUgk7Ny5U6+GVnWJpqCQxBde0ImFL7+oHbGg1ULsVvixnc4V0dAMRm2AqUfAq+cTFQu1muioL64tYfoJaD0F19jvGWUSSVZmJuvXr0elUj2wacydGBb9vYjOrp2ZFjTt35nfY5CTk8OKFStIS0tjxIgR9U4sPGnatm2rSEpKMlq6dKlNz549c+9/LTs7W9K/f/9mXl5ezefPn++WkJAgAzh8+LDF9OnTMwwMdC0jGjVqVLZ+OWbMmLsAbdq0KUpMTCx3HXbQoEE5EomEli1bFmdlZRkA7N271+L48eMW/v7+/s2bN/e/du2aLD4+/gG1fPToUdM2bdrk+/r6qu4/7pkzZ8wnT56cdW/s/JycHGlWVpYE/mnJ7eTkVNaSu0WLFooTJ05YzJgxw2Xv3r1mtra25a6/Vtae+36OHz9u8eqrr5at/9rb21e6nnvixAnzESNGZEulUtzc3NRt27Yt+PPPP00AAgMDC5s1a1YikUho3rx50bVr16p30XmIhghDHZNxOx8jEym/xqXw6Z54uvs68OPYFjVyIFTezgeJCEPnBx0UFYpEzkWPQxC0tGyxHhMTD7Kzs0lOTqZXr16VjlmckEDBsWPYvfwS4nLu/kpxchrOtevfkFYYgc/M97CdMoW8iN1kr15N2jvvkvH1N1iNGon16NEYODy4Fm9hYUHPnj2JiIjg/PnzteKnXxPKxML58zqx8LjVG4IAl3bC0U/gzkWw94MRa8B3oG5tvx5w6NCh2k101BdDUxjwJXj3o9nvLzJMyGBzUn82btzI6NGjkUqlZCoyee3oaziaOPK/jv9DLKof71lF3Llzh3Xr1qFUKgkPD8fDw+NJT6lc9IkE1CV9+/bNeffdd932799/+c6dO2XXmIpaTQuCgEgkKvdOQiaTCQBSqVRQq9XlfoBLtykdq/Rx9uzZqfPmzauwv8a945b7/MOUzq+8ltxBQUHKc+fOXdy6davlW2+95XLw4MG8L774IvXhMR5uzy2RSITSJQKFQlH24a9oXpWdR0WUN1+9By6H+v0NfcpJv5nH1s/Osua9U6z/I4Fng5xYMq5ljcQC3DNscjZDZPDPP1txcSrnosPRaBSEhqzB1FSXkCyXywGqNNDJXr4CkbEx1mPGVLqdoaEtjRz6kZq6HbW6ELGhIVZDBtNk+zbcV6/GODSUrCU/c7VHT1IWvE7xpUsP7N+yZUvc3NzYt28fBQU1jojVGE1BAYlTp6K4cAGXr756PLEgCHB5D/zcGTaF63IWhi2HGZHg/1y9EQvJycmcPXtWf0fHusCrJ8z8C38/Pwayn2vXrrF941pUahXzjs0jT5XHN92+wdKo6gqhJ0liYiIrVqxAq9UyadKkeisW6gMzZszIfO2111LatGmjuP/5ilpN9+zZM2/JkiX2pa3S71+SqCn9+vXLW7t2rV1ubq4Y4MaNGwalLbNL6datW+Hp06fN4+PjDe8/brt27fJXrlxpC7o8AGtra7WNjU2Fi/83b940MDc3186cOTN79uzZ6TExMSYApqammtLjl4erq6vq5MmTJgCbNm0qy73o2rVr3ldffVV215WRkSEBnWhSKpWPXPC7dOmSv2XLFhu1Wk1KSor0zJkzZp06dSrU532qLvXjl+0pp0SjJS23mNjkXI5cvsPmqER+3JvApm/OUSQWyNJqGFlkxMuezhhKa/aWCxqBkqSCB5YjlMoMomPCKSm5S2jIKszN/XTbCgJyuRx3d3csLSv+IS5JSSE3IgKrsOFIrSvsOFuGi8sYNJoC0tP/KHtOJBJh2rYNbj/+QLM9u7EeMYK8Awe4MWQot8ZPIP/wYQSNpsw2WqlUsm/fvhq9BzVFU1BA4pSpKORyXL76Eos+vWs2kCDAlYOwtDtsGAXKPBi8BGae0vkS1BOhALpEqIiICExNTenateuTnYyJDYStosXQ2fSSnCHuyi0++/kNotKieKf9O/jY1O+mTAkJCaxevRoTExMmT5785MTXU0KzZs1K3n777UdKqipqNf3qq69muLq6qnx9fZv7+Pj4L1++/LETnYYOHZoXFhaW3bp1a19vb2//IUOGNMvJyXlAiDg7O6sXL158c8iQIZ4+Pj7+Q4YMaQqwaNGilHPnzpl4e3v7v/XWWy6rVq26Udmxzp49axwSEuLn6+vrv2jRIqd33nknFWDChAmZ/fr18ypNenyYd955J2X+/PnuLVu29JFIJGWRgE8++SQ1JydH4uXl1dzHx8d/9+7d5gBjx47N8PPzK0t6LCU8PDynefPmCj8/v+Zdu3b1fv/995Pc3d2rX4ahBw3trSuguERDRr6SzAIlmQUqMguUZN37O6NASeZ9r+UqHqwcEgsQVmCIs0bMQWcR3Vo44RFfROrVXJ4Z7klIz+o3olElF3Dnu2hsRvtgEuyASpXNuegxFBcnExKyCivLf9ZS09LSWLJkCQMGDKjU1z/9k0/IXrcezwP7Maii7BJ0QuTMmQEgktCm9R8Vhs00ubnkbNlC9rr1qFNTMXB3xyY8HKuhQzh25gzHjh1j3LhxNXYCrA6a/HydWIiLw+Xrr7CoYommQq4f09khJ54GS3foMg+CR+sS/eohZ8+eZefOnQwZMoTg4HrklpibxC8r3iEl1x2x1U3emfJZnZaTPi7nz59nx44dODo6Mnbs2MdqqFZbNLS3bqAuaWhvje5iV6BUl138M/OVZBaq7rvw3y8MVBQoyxdo5kZS7MyNsDMzxLuROR2aGWFnZoStmSF2ZkbYmxuSfiyNG5Fp9JzoxyvtdKWz6j4aDq68yMktVynIVvLMcE9EYv2Xk8o6VLpZUFKSS3TMBBSK24QEr3hALIBuOUIsFuPv71/heJqcHO5u3oLFgP56iQXQRRNcXMZyOeEd8vJisLQsv4W1xNIS28mTsZkwgfz9+8lavZr0jz8mY/FifIYPJ87Kqsw22tDwsXJwKkWTn8/tKVMojruI6zdfY96zZ/UHuRUJR/6nMyYyd4YBX0FoOEjrbt6PyxNJdNSTa4KSZfaxdBQZYpHjQeS3k+gwdLqu1LSeERkZyf79+2nSpAkjR46s2wqTBhp4CniqBYNWK5CrKCGzQEnGvQt92cU/X/WIEFCqy1+GsjYxwM5Md+EPcrXC7t7F/59HI+zMjbA1Nawy/+Dy6TRORaYR1N0Vn3b/+GxIDST0mRLAn1uucP5wIgU5SnpO8kOqZz6D6nY+YnMDBHMVMecnUVh4leCgn7G2bvfQe6IlNjaWZs2aVeplf3fDBoSiImwnT9Hr+KU4Oj7H1WuLSEpeX6FgKEUklWLRvz8W/fujiIkha/VqctesIcjWlsPdu3Fg40YGhIdX6/j6osnL4/aUqRRfuoTrt99g3qNH9QZI/FsXUbh+BEwdoO8iaDkRDOr/ReOJJTpWQYGqgNlHZmNiYML8Ke9xfHsE+6+B8cb/ERqyB/p+WuMeGbWJIAgcOHCAyMhI/P39/98bMjXQQCl6fQtEIlFf4FtAAiwTBOHTCrZrDZwCRgqCsKXWZnkfxxMyWLQ3viwSoNY+uqQiEYuwMf3not/M3qwsAlB68bczM8TezAhrU0MM9Oz6WBUZt/M5si4eZy8rOgx7NNwuEovoGOaFmbWMyK1XUeSr6Dc9EJlp1WFtVWI+EndDzl+YSn5+HIEBP2Br2/mR7RITE8nNzaVHJRdIbXEx2WvXYdqlMzKfcpfXKkQqNcPR8TlSU7fg7fUWBgZV5z4AGIeE4BoSQklKCjbr1nP70iWitFoaTZiA96hRmPfq9YAHxOOgycvj9uQpFMfH68RC9+7675wSrYsoXNkPJrbQ+yNoNVmvTpD1gdJEx3bt2tWrtXZBEFh4ciGJ+Yks7b0URzNHho6eQPH69fxxow+ymF343XgGhiwBj2ee2Dw1Gg07d+4kJiaG1q1b069fvwZDpgYauEeVv9AikUgC/AD0ApKAv0Ui0R+CIFwsZ7tFQJ1mtJkaSXAwN8LfyeLehf+fi39pFMDaxBBxNcL9tYGiQMWeJXKMzQzoMzUASQUiRCQSEdrLHTMrIw6uvsi2z88ycFYI5jYV37lqCktQZeeS3mIJebkxBAR8i719+eH12NhYpFIpPj4VJ5LlbNuGJjsb28mTq3eS93BxGUty8q+kpG6lsXv1IhQGzs40mj+PodnZ/PDDD5y0t8d4zmsYOjpiM24sVmFhSCxqfpepyc3ViYXLl3H99lvMu+vpbJgmhyOfwOUIkFlBj3ehzQtg9OTXrPWlXiU6PsSK2BUcun2Iea3m0dpRl1cjlUoZOWoUa9euZUvKIMZqjtN01QDo8BJ0fxuk/25PBpVKxZYtW0hISKBr16506dKlXkVoGmjgSaPPLV0b4KogCNcBRCLRb8BzwMOOUy8DW4GKs+xqgZaNbVg5qU1dHqLaaDVa9i+LoyhPxZC5LTCxqHp926t1I0wsDNm9RM7WRVE8+3Iwdq7lWz4X384mJfh7CpHj7/c5jRzKNxvSaDTExcXh4+NTYQMcQa0me+UqZMFBmFSSEFkZ5ma+WFq2JDn5V9zdnkdUg/p5ExsbBgwbxqZNm0h/fQHNDh3mzudfkPHDj1gNGYLN+HAMGzeu1pia3FxuPz8ZZUICrou/xVwfG+Q78XD0f3DxdzCyhK5vQrsZ9SI0Xl2io6NJSUmpe0fHanIq9RSLoxfT16Mv4f4PLkEZGRkxZswYVq5cyW+53ZjgG4xL5Hdw9TAM/QUcKy8Lri2KiorYsGEDiYmJVSYLN9DA/1f0+aV3Ae43Akm691wZIpHIBRgCLKlsIJFI9IJIJIoSiURRGRkZ1Z1rveXUjuskxd+lyxhvGnnof6Fx8bFm6NwWIBKx7YtzJMY/2qRHqy0hPnk+hfYX8PH8ACenIRWOd/36dYqKiiq1gs7fv5+SxERsp0x5rLsnV5exKBS3yL4bWeMx/P398fX1JTIxEfNvvqbJtq1Y9OrF3U2buNa3H4kzX6Tw9Bm93CE1OTncnvQ8yoQEXL5bXLVYyLwKW6fo3BmvHoLO82D2eei64KkUC/U10TG1IJX5x+bT1LIp73d4v9zPnImJCeHh4ZiYmLLulgMZA1ZBYQb80hX+/EZnuV2H5ObmsnLlSlJSUhgxYkSDWGiggQrQRzCUd1V5+Bf8G2CBIAiVfrMFQfhFEIRWgiC0qsqu+GnhSlQ60QduE9DZBb8O+lUb3I+tixnDF7TE3EbGru/Oc/n0P03YBEHDxYtzyRH/iVPK87i6V26uJJfLkclkFZYrCoJA5rJlGHp4VD8J8CEcHPpiYGBDcvL6xxqnf//+iMVidu3ahZGfH86LPsXz0EFsp09DER3N7QkTuDF0GDk7dqB9yFa4FE1ODreefx7llSu4fv8d5pWF47NvwPYZ8ENriI/QdY985QJ0XwjG+uVj1EdKEx0HDBhQb8LoKo2KOUfnoNKq+Lrr15gYVJwHYmFhQXh4OGKxmLUnbpAzdj/49IWD78KqZ+HuzTqZY0ZGBitWrCA3N5dx4+ILJKIAACAASURBVMZVWlnUQOVIJJKWvr6+/qX/PU4L6n+jdfPT0ia7PqHPkkQScH/7OFfg4eYZrYDf7v1Q2QH9RSKRWhCEHbUyy3pKVnIBh9dcwrGpJR1HeNV4HDNrGUPntmDPEjkHV16kMEdJSC9X4uPfIP3OLuyvj8TJbmSlY6hUKuLj4wkICKgwo7vor79QXryE44cfIHrMRC6x2Ahnp+Hcur2M4uJUZDKnqncqh1Lb6N27d3PhwgWCg4MxcHDA4ZVXsJs2jdydO8levZrU19/gzpdfYj16NNajRiG1saFAVUBR9h3yps9Bff0Grj98j1nnRxNBAci5Dce/gJj1IJZC2xnQcXa99gDQl/sTHRs1avSkp1PGJ2c+ITYrlm+6fYOHpUeV29va2hIeHs7KlStZs2Unzz+/BDOfAbB7Hvz0jK6KInRcrfXmSEpKYv369YjFYiZNmoSTU80+ww3oMDIy0pbXHKkm1HXr5pKSEsaOHZsL5Fa5cQNl6CMY/ga8RCJREyAZGAU8cKsrCEKZ85RIJFoF7Pqvi4XiwhJ2/3QBQ2MpfacFIKmhg2MpRiYGDHw5hEOrL/LX9qvklnyJ1iSCxvYzkO1vi2GLiltaA1y5cgWVSlWpFXTWsmVI7e2xfO65x5prKS4uo7l1eykpKRtp2nR2jcdp1aoVcrmcvXv34unpWVYOKpbJsA4Lw2r4cApPniR5+c9kLv6OtJ9+JDrEjJ2+BUzar8ElEz4fJibu5ivIkmTIpDJkknuPIjGy/AyM8lMxFkDm3QqZUwgyY0tkCRv+2e7eo5HUCGOJse65+8cpfZTKMBQb1pu7+NJERzMzs3qV6Lj9yna2JGxhSuAUerjrH80qNUhas2YN69atY+LEicg8ntFFhf54SWfJPfBbMHu8COXVq1fZuHEjZmZmjBs3Dltb28car4GKcXFxCRwxYkTWvn37LNVqtWjjxo3XQ0NDi1NSUqTDhw9vkpOTIw0JCSk6evSoxdmzZy85OTmpTUxMQouKiqJ37dpl/sEHHzjb2NiUXL582TgwMLBox44dN8RiMSdOnDCZM2eOW1FRkdja2lq9fv36m40bNy6Ji4szmj59unt2drZUJpNply1bdis0NLR42LBhHtbW1mq5XG4SFBRUFBgYqIiKijJds2bN7WHDhnmYm5trzp8/b5qRkWHw4YcfJk2aNOmuRqNhwoQJ7qdOnTJ3c3NTarVaJk6cmDVp0qQqm0j9F6lSMAiCoBaJRC+hq36QACsEQYgTiUTT771ead7CfxGtVuDAijgK7ioZ8loLTC1rJ5tbYiCm5yR/DJ1Xo5FFoMkeir3RaPK5jqF75evqcrkcMzOzCj3uFbFxFEb+hcPc1xDXklmSsbE7tjadSE7ZiIfHi4jFNXM9LLWNXrJkCfv27WPo0KEUq4u5mHWRmIwYYu7EcD7jPNlds3EJkPDcWQkdY/Jp/bcWrYGEK28Mo2OgE601SorVxSjUCpTFuRTfiUWRcwulCHLN7Ek3sUEhqFGmn6FYXUyxuhi1UH0HVRGiR0TE/cKiItFhK7Olb5O+tdo3oT4mOsZlxfHRqY9o59SOl0Jeqvb+7u7ujBw5kg0bNrBhwwbGjRuHwYSdcOoHOPQB/NQeBi4G35p1GpXL5Wzfvh17e3vGjRuHuXnlYvxp4+KlBW6FBQm1WgdsauZd5O+3qNKmVkqlUuzr61u2pvPaa6+lTp069S6U36b69ddfd+7SpUv+J598krZlyxaLDRs22JU3bnktmrt27Vo4a9Ys94iIiKvOzs7qpUuXWs+dO9dl8+bNN6dMmdL4l19+uRUYGKg8fPiw6YwZM9xPnTqVAHDt2jXZyZMnE6RSKYsXL35AJZbXJnvNmjXWiYmJhpcvX45LTk6WBgQEBEycODHr8d/RpxO9Ct8FQdgN7H7ouXKFgiAIEx9/WvWbMzuvczsumy5jfHBsWrtNc27c/AqNbBsyYRgxh/pgZ3+LRsZSpLYVXwwUCgVXrlyhdevWFdaMZy1fhtjMDKuRlS9tVBcXl7FckE8jM/MQDg41b+gkMhPhHOjMhfMX2FO8hyhNFGqt7mLe2KIxnVw6EeIQQoh9CE3nNEWbk0vu9h0YBwXSvNV9LrmFmXDyWzizATQqnX1zl3lg7VHucUu0JSjVSoo1xWUiouzvhx8r+vu+xyJ1EdnF2Sg1ShRqRdlrSo0SgC/PfslQr6GM8xuHq7lrjd8vqJ+JjjnFOcw5MgdbY1s+6/wZEnHN+gh5eXkxZMgQtm7dyubNmxk5ciSSDi/D/7F33+FRldkDx793WnrvPaR3AiRUQUCKFBuigopdLCiLbUH9qai7Lu7aUFGxIAooKKLSEQURKVIEUkgljfSeTOokM/f3R+hJIEBgMvB+nodHmLlz50zAmTPvPe85gdfBqumwfCr0vQfGvgFmXf/A3717Nxs3bsTPz4+pU6f2mCTrSnC2SxKnjqlevXq1A8CePXusf/rpp0yAyZMn19ra2nZYA3d8RDNwYkSzo6Nja0ZGhsXIkSNDoG2lzcXFpaWmpkZx4MAB69tuuy3w+ON1Ot2J5cBJkyZVdXbJtqMx2du3b7eeNGlSlVKpxNfXt3XgwIHaC/jRXDFE+7LzdORAKfs35BIxxIPIoedf5Hg22dkfkpP7MZ6eUwgL/Rdu9mW0LE+lXK3ApqIJW+eOx0+npKSg1+s73R2hy8tDu+kXnB64H2U3f5tydh6BmZkH+QXLupwwtBpayazO5GDpQQ6UHuBQ2SEK6gpQGBSMVo/GNdeVaSOn0cejD71de+No3n4WjcLBAacH7j95Q0Ml7PoQdn8CLQ0QcztcOxucAts99lRqhRq1Ro01l7bfgkE2kFGVwdeHv2ZF6gq+Tf2WUb6juDfyXmJcLuzDvqcVOuoNemZvn01ZYxlLxi3Bwfziikijo6Npampi3bp1/Pzzz9x8880o3CLg4d/aRor/+V7bjI9Jn4LvwLOeS5ZltmzZwvbt2wkPD2fSpEmo1T1zDsjFOtdKgDF0NKa6q3OMOhrRLMuyFBQU1Hjw4MHTah0qKysVNjY2rZ0lLtbW1p1OnexsTLZwkkgYzkNlYT2/LU7BrZctw6aEduubdG7e52Rlv4u7+y2Ehb6OJEkERDhSqJRI1xnY/9/93PBEb1x823/gJyYm4uDggGcnMyEqvvwSSanE4Z57zhpDQl4qhw6s5s6GgyiVKlCatc1MUJq1NdFRqtvdJinVeEkRZFX9RkPC51iaeZ/xGA21hhYStdkcqM7gYFUqiZUpNLS2Tb51sXAh1jWWO8PuJNY1Fqs6K5Z8tYSomihGDOhCH4WmGtj1Eez+qG16ZOQtMPx5cOlZExAVkoJQx1D+fc2/mdlnJt+kfsP3ad/zS+4v9HHtw72R9zLce3iXv5H3xELHBQcXsLNwJ3MHzSXSObJbzhkfH09DQwNbt27FwsKC66+/HkllBqPmQvBY+PER+HIcDH4Shv2zw0Zber2edevW8ffff9OvXz8mTJggujf2AP37969bsmSJ47///e/iVatW2dbW1nZ5OSomJqapsrJS9euvv1qNGjWqvrm5WUpMTDSLi4tr8vb21i1atMjhgQceqDIYDPz1118WgwYNajz3WdsbOnRo3ZIlS5yeeOKJisLCQtVff/1lM3Xq1Pb7368SImHooubGVjYsTESlUXD99CiU6u57wzmav4TMzP/g6jqe8LB5Jxoh6Y62rX5F3xbM0Z+z+PHtv7l+ehS+kScvvWm1WnJychg6dGiHCUxrRQU1q37E7uabULu23xGgMxhYW1bDovwy9tU2ge0Y9A2V3Ff6W9uSfqsO9M0n/6tvv7XRUy2RPcCR/IMvE5xVT55KxUFzMw6aaThobsYRtRpZklDIMqG6Fm5sbia2qZnY5mY8DUVImWmg/BGUGlBp6GcWx66dMlHpH+Bpoes8aQE4vBqaqiFsIox4Ady654PqUnKzcuOpfk8xPWY6P2b8yNKUpczaOgtfG1/uibiHG4NuxELV8WoS9MxCx615W/ks8TNuDb6VW0Nu7dZzDxs2jMbGRnbv3o2FhcXJ1+w3CB7bARufb7sMdfBbGD6n7VLFsSmiLS0t/PDDD6SmpjJs2DBGjBjRI1ZjrkRn1jCMHDmy5qOPPiro7Ph58+YVTp48OSAiIsJh0KBBdS4uLi329vZdarphbm4uL1++/MjMmTN9tVqtUq/XS4899lhJXFxc07fffpv18MMP+7355psera2t0i233FJ5oQnDvffeW/Xrr7/ahISERPbq1aupd+/e9V2N8Uokxlt3gWyQWf9JInlJFdz0VCyewd23X7+w8DtSUp/H2XkU0VEfnlY4WPtrLrW/5eH5yiAam/Ss+fAQVYX1DL87jPDBbVvAjl+TnTFjBh31tiidP5+KTxYSsG4dZgEnx6gXNulYUljB0qIKynStBCiaeCD9UzaEPUgiNuwYEI6LpoMlW1kGfcuJJKJZpyW5Ipn8gvdQt+bxVokjpS11ANgozYmx9iXW0pNYCw+izZyxkjn22GPJx2lJSdttjc0tLMj0wlrVwsPuySgNumP3tbRPXnwGtK0oeMZ229/J5dZqaOW3vN/4KvkrEssTsTez5/bQ25kaNhVni/Z1YD1tdHVubS5T1k7Bz9aPr8Z9hZmy+1s6GwwGfv75Zw4dOsS4ceMYMGDA6Qcc3QubX4a8neAUBKPm0ug/iuXLl5Obm9vxY0zUlTLeurGxUVKpVLJarebXX3+1euKJJ/y6a1tmd6qpqVHY2dkZiouLlfHx8eE7duxI9fX1Pf9qaRMhxltfpL3rc8hJKGfoHSHdmiwUF68mJfUFnByHER31frtdBrqjWlSulijMVViZq5j0TF82LExky9cp1Fc302+cH4mJibi7u3eYLBjq66n65ltsRl2HWUAvZFlmV3U9iwrK2FBeg0GG0U62POCsYdjX16Bwi+TaPn0ZuS+dVzML+TCifWvmssbyEzsXDpYd5HDFYVoNrQSZ6XnCtZWbvfxx95hErEssgfaBKC6gbbQFMC45me+//56/Ql9g8ODB530OU6JSqBjrP5YxfmM4UHqAxcmL+SzhMxYnLWZi4ETuibiHQPu2WoyeVujY0NLArK2zUClUvDP8nUuSLEDbTpobb7yRpqYmNmzYgIWFxemv3yce7l8P6Rth8ytoVzzCUvVdlOmtmTx58lm3GwvGkZmZqbn99tsDDQYDarVaXrhwYY6xY+rI6NGjg2tra5UtLS3Sc889V3QlJwvnIhKGc8hJKGfv2mxCB7oTPdzr3A/ootLSjRxOeRYH+wFER3+MQnH6G61skGnO02IZdfIbpsZCxcQnerNlSQp/rc6irKSMgoICRo8e3eFzVH3/PYaaGswffJCvC8pZVFBOan0TDiolj3i7cq+XE34WZvDzDNBpYcLbBFtb8LivK/NzS7jD3R4Xik4kBwdLD1JQ17bCqFFoiHKOYlrENGJdYolxjiEj4S4GKpuID7nton8+ERERhIaGsnXrVsLDw3FwMN0ujF0lSRJ93frS160vOTU5LE1Zyk+ZP7EqYxVDvYZyb+S9lO4r7TGFjrIsM3fXXLJqsvh41Md4WndvEfCZlEolkydPZtmyZfz000+Ym5sTEnLKtFVJgtBxVDj0Y8mXn1Lf2MhdrCQwKR3c54LzhTdXE7pfdHR0c0pKSo9bUTjTnj170owdQ08hEoazqC5pYPOiZFx8bRh+Z/cVOZaXbyUpeRa2trHExHyKUtl+a1drRSNyYyuaM4oclSoFo+6LwNrenO1//gE2EBoc3u7xsk7HwdXrWT3jWdbXKtBW5RNtbcG7YT7c7OqAxfFpmnm74cBSGDIL2SWU3YW7sKg5iIUcyZ37dmBX9AISepwtnOnj2oepYVOJdY0lwjECtfL0FZFGr6mkZ7xObW0itradz7PoCkmSGD9+PAsWLGDt2rXcfffdRv+AvJz87fz5v4H/x4zYGaxIa9tV8dya5xhROAK3cDccXdrvHLnclqUsY0P2Bv7R9x8M9rw8q0BqtZopU6bw1Vdf8d133zFt2jT8ThlSVlhYyNKlS0HScN/9U/HKsYcd78GCAdDvXrh2Dtj0jCJRQTA1ooahE7qmVlbO20djXQu3PR+HrVPnRWjno7JyB4cSHsLKKpS+fZagUnW8zbF+fwlV36fj9lRf1G5W7e6XZZl3/jefpmoDoXbDmPB4DBY2GvSyzG8VtXz692H+VFugRuYGN0ce8HKmn63l6R+6+lZYOKxtp8ETe1hweDGfHPoEhaTAyXk8hy3u4Fb7Gl4IDsLTyvOcH9gtLbX8uWMw7m43EB7+n4v6OR33119/sWHDhh5zvd5YmlqbmP/RfGpra1nvtR4nayfuDr+bW0NuxUZz+RsP7S/Zz0ObHmKY9zDeG/HeZU/m6uvrWbRoEXV1ddx33314eHiQlZXF8uXLsbCwYNq0aTg7H1udqyuDP/4L+xa1FcwOmQmDnjCp0eWnulJqGISe6Ww1DGJvUQdkWea3r1KoLmlg7EOR3ZYsVFXt4VDCdCwtA+gTu7jTZAFAl1eLZK5E5dJxw7aSkhK0DdX0je9DeX4dS97Zzzsp+QzancI9idmkNrfw8M4t7BsUyUcRfsTZWbV/U9+zEEqTYdw8UuuO8nnC54zrNY6dU3eyZfx/GOdsx/paBwwqly59IKjVtri73UBxyWpaWmrP62fTmfj4eLy9vdm0aRP19fXdck5TlHwomcbKRm674Tbmj56Pn60fb+9/m9ErR/O/vf+jqK7ossVS1lDGs9uexdvGm39d8y+jrPxYWVkxbdo0zMzMWLp0Kbt27WLZsmXY29vz4IMPnkwWoK2N9Pj/wYw9EDy6rYfD+31g7xdthbSCIHSJSBg68PemXLIOlDH41iC8w7pn6bem5gCHEh7C3NybPrFfoVbbn/V4XZ4WjY8NkqLjN+PExEQUCgVOQ2I4MM2b14aY89/iclxR8D51fDv7cZ6NDsLNvJM20LWFsPUNCB5DS8hYXtrxEvbm9rw44EWs1G0rGq8Ft9VsvJSR3+XX6eV1JwZDE8XFq7r8mLM53ja6qamJX375pVvOaWpOLXTsHdObYd7D+GLsF6yYuIJrva9lWcoyxq0axz+3/ZPk8uRLGkuLvoVntj1DfUs97w5/1yirG8fZ29szbdo0ZFlm06ZNeHl5cf/992Nr20kbdadAuP0rePDXtp0U656GjwZBypq23T+CIJyVSBjOkJtcwe6fswiOd6P3dT7nfkAX1GqTOHjofjQaJ/r2+RqNpsOW6ScYmvW0FNd3Oj+iqbWV7/JLWT9gFDcmH+WXxgZudbLjqV2N3PBtMX6L12Lu7ortuHGdP8mmF8DQCuP+yxdJi0itTOX/Bv7faXMOfMw1PO3vxsbyWn4p79pQN1vbaGxte5Nf8G23dUlzc3Pjmmuu4dChQxw5cqRbzmlKOuvoGOEUwZvD3mTDpA3cHX43fxT8wZR1U7h/4/38fvR3DHKnTe0u2Nv73+ZA6QFeG/waQQ4dj1G/nFxcXLjnnnu49tprmTZtGhYWXVgNPL6jYsq3IClgxd2waCzk/XXpA76CnTneOi0t7aKG1qSlpWmCg4O7vbFKZ+ddu3atzYgRI4z/j7oHEwnDKWrKGtj8RTJOXtaMmBbWLUutdXVpHDx4HyqVLX37LMPM7NwFV7p8Lci0K3gsatbxZlYRfXcms8Y/khZzS14L8uTg4Ajm9wngiRl9sbOV2G9+HdXjHkfqrPVt5m+Q/CMMfYZ0qYWFCQsZ5z+uw6mCj/i4EGJpzosZBTTou/YB5OV1Jw0NmVRXd98b8NChQ3FycmLt2rXodO2bR12pjnd0HDBgQKcdHT2sPXg2/lk2T97Ms3HPkl+Xz5NbnuSmn27i+/TvaWpt6pZY1mWtY1nKMqZFTOP6Xhc+N6S7ubu7M2LEiPNr9SxJbcOrHtvZNv2yKgcWjYHld0F5xiWL9Up2fJbE8V+hoaFXz/+oF6C11fR2Z4qE4ZiWZj0bPkkEYNwj0ag1FzY051TNzaUcOHgfCklDn9glmJt3bduZLq+tw6OZj82x3gl1PJyUQ9yuw7yXW4KProEbkv/izwFhTPdxxU7dttnFys6MAZU/4qg9wp4jjuxZk9X+W35LE6x/FhwDaR34OC/teAlbjS3PD3i+w1g0CgXzQrw52qRjfm5Jl+J3c52ISmVHfsGyLh3fFWq1mhtuuIGqqiq2bdvWbeftyc63o6ONxoZ7I+9l/aT1zBs6DwuVBa/teo2xP4zl44MfU9l04R1t0yrTmLtzLv3c+vFUv6cu+Dw9jlIF/e6DmQdgxP9B1u9tOyrWPg11pcaOzuTt3LnTonfv3mEhISERo0ePDiwrK1Oe7fbt27dbhoaGRsTGxoa988477VvT0tZIadCgQSERERHhISEhEUuXLrWHtpWDgICAyClTpvgFBQVFDhkyJLiurk7q6nkBtFqtcvTo0YGBgYGRd955p69e39bUcdWqVbaxsbFhERER4ePGjQuoqalRfPfdd7bjx48POP7YtWvX2owcOTKos+OhbdT3s88+69GvX7/QRYsWObz99tvOUVFR4aGhoRFjx44N1Gq1CoDk5GSz3r17h0VFRYXPmjXL09LSss/x53nppZfcoqKiwkNCQiKeeuqpS7uX+QwiYeDYYJolKVQW1jPmoUjsXC6+yNFgaCYx8XH0+jpiY7/E0rJ9E6TO6PJqaXGzYFl1DSP3pnHLgUy2V2mZ7u3CjvhQrvt7O2PcHLE4Y9Je85EjNG3ZxIgBOsIGubN3XQ5bl6SiP3VlYOf7UJkF4//H4vTlHK44zAsDXjjroKDBDtbc5u7AR3mlpNef+9uqUmmOh8etlJX9QnNzWZdf97n4+/vTt29fdu7cSVHR5SvyM5bjo6vHjBlzXlMV1Qo1EwImsGLiChaNXUSUcxQfHfqIMSvH8Nqu18iuyT6vOGp1tTz1+1PYamx569q3UF/gGPMeTWPVNtV05kGIewD+/grmx8Lv86C5ztjRnZdZKXk+1+9LD+3OX7NS8s55ffZ4a+iwsLCI0aNHBwLcd999vd5444389PT0w5GRkY2zZ8/2PNvtDz74oP8777yTd+ZQqVNZWloa1q1bl3n48OGUbdu2pb/wwgveBkPbe1xeXp75zJkzSzMzM5Pt7Oz0X3/9tUNXzwuQmJhoNX/+/KNpaWnJOTk5Zl9//bVDUVGR6o033vD4448/0g8fPpzSt2/fhtdff93tlltuqT1w4IBVbW2tAuDbb791mDx5cmVnxx9/DnNzc8P+/fvTpk+fXnXXXXdVJSUlpaSlpR0ODQ1tfP/9950BnnjiCZ/HH3+8NCkpKcXT0/NEZe6qVatsMzMzzRMSElJSUlIOHzx40HLDhg2XbbuPSBiAg5uPkrmvlIE3B+Ib4XTuB3RBWvpr1NQeIDz8Taytuz4IKau+if8oGxkTo+K5tHyUksQ7oT78PTiSV4K80Bfl09DQ0OFkyopFi5DMzXGadjcj7wknbrw/KTuLWP9RIrqm1rZE4Y+3IPIWspx78dHBjxjlO4oxfmPOGdfLgZ5YKhU8n57fpdoEb687keVWCgtXdPm1d8Xo0aOxtLRk9erVHM/+r0THCx39/Pw6nUJ6LpIkEe8ez4LrFvDzTT8zMWAiP2f+zI0/3ciTW55kX/G+c/5dGmQDL25/kaK6It4e/naHraqvKNYuMOGtYzsqRokdFefh1EsSmzdvPlJRUaHUarXKCRMm1AE8/PDDFbt377bu6u0PPPBARUfPYzAYpFmzZnmHhIREjBgxIqS0tFSTn5+vAvDy8moePHhwI0CfPn0acnJyzLp6XmgbpR0REaFTqVTcfvvtldu3b7f+/fffrY4cOWLev3//sLCwsIjly5c75eXladRqNcOHD69dvny5XUtLC1u2bLGbOnVqdWfHH3+Oe+65p+r47/fv32/Rr1+/0JCQkIgffvjBKTk52RzgwIED1g888EAlwEMPPXQi3o0bN9r+8ccfthERERGRkZERR44cMU9NTb1sM9qv+sZNR1Mq2fVjJoF9Xegzxrdbzplf8A2Fhcvx83sMN9fx5zxeL8tsqahlUUE5Wyu1KD2UjFebM723D3Fn9E5ITEzE3NycoKDTa3NaSkqoWb0Gh9tuQ+XYtrNjwI0BWDuYse2bNH565wATPT7AUqlGP+Z1XtoxB0u1JS8OfLFLtRouGjUvBHgwOz2fH0urmeR29s6Llpa9cHAYTEHhcvz9H0OSLv4SD4CFhQXjxo1j5cqV/PXXX1ds2+jjhY7jx4/vllqaAPsA5g6eyxN9nmBF2gqWpy7n96O/E+kUyX2R9zHKbxQqRfu3g88SPuP3/N95vv/zxLqa7ryO8+YUCLd/fWxGxUttOyp2f9w2JTNsQlsNRA/1Xrhvjxtv3RWyLHfp3/rChQsdKyoqVImJiSlmZmayl5dXdGNjowJAo9GcOgpbbmxsVHT1vEC74yRJQpZlrrnmmto1a9a0W5qbMmVK5YIFC1ydnZ31MTExDQ4ODoazHQ9gY2NzYsl3+vTpvVauXJk5aNCgxvfff99p27ZtZ912JMsys2bNKnruueeM0nPjql5hqC1v5JfPk3HwsGLkPeHd8sZcXb2P9PTXcHK6lsCAs1/rrWpp5eO8UgbvTmFaYjaH6xqZZW7Dum31LAjyJv6M3gk6nY7U1FTCw8NRqU5/c6/86mvQ63F84P7Tbo8c6sX4x2KoKqzlh33XU913Lkvzt5BQlsCc/nPO6xvj3Z5OxNpY8kpmATUt5y7Y8fa6i+bmIsrLt3b5OboiMjKSkJAQtm7dSlVV1bkfYGK6Uuh4oZwtnJkRO4NfJv/CSwNfoq6ljuf+eI4JqybwdfLX1Lec7HXxZ8GfLDi4gIkBE5kaNrVb4zAZPvFw/4ZjOyokWHGX2FHRRU5OTnpbW1v9xo0brQG++OILp0GDBtV1druzs7Pe2tpav2nTJmuAM6btDQAAIABJREFUxYsXd7invaamRuns7NxiZmYmr1mzxqawsPCsuzG6el5ouySRmpqq0ev1rFy50nHo0KHa4cOH1+/bt886KSnJDECr1SoSEhLMACZMmKBNTk62/Oyzz5xvu+22SoCzHX+mhoYGha+vb0tzc7O0fPnyE3HFxsbWLV682AFg0aJFJ24fN25c7ZIlS5yP10RkZ2erCwoKLtsX/6s2YWjR6dmwMBGDQWbcI9FozC/+Z97cXEJi0hOYm3sQGfFup9+qk7QNPJ2aR9+dybx6pBAPMzULI/3YNyiSR0plXJA67O6YkZGBTqdrt0Str62lesUKbK+/Ho23d7vH+Yeac7PH2+iw4btfglm+7WeGew9nQq8J5/X6lJLEm6HeVOhaeTO7+JzHOztfh0bjSkE3Fj9CW9Z/fIvhxx9/zNq1aykuPnc8puByja62UFlwe+jtrL55NfNHzMfdyp3/7fsfo78fzTv73uFA6QFm/zGbYIdgXh708lXVlrudEzsqdp2+o2LF3WJHxTl8+eWX2bNnz/YOCQmJSEhIsJg3b17h2W7/4osvcmbOnOkbGxsbZmFh0eH1soceeqjy0KFDVlFRUeFLly517NWr1zkLq7pyXmj7oH7mmWe8Q0JCIn19fZunTZtW7enp2bpw4cKcKVOmBISEhET069cvLDEx0RxApVJx3XXX1Wzbts3ujjvuqAE42/FnmjNnTmH//v3Dhw4dGhIcHHzidXzwwQdHP/jgA7fo6OjwoqIitbW1tR5g0qRJtbfddltlfHx8WEhISMQtt9wSWF1d3T3Lt11wVbaGlmWZXxcfJn1PCRMej8E/+uKvyxoMzez/+y7q69OI67eyXd2CzmBgfVkNiwrK2VNTj4VCwWR3B+73cibC+mSRZcmHB1BolLhMbz+JcPny5eTn5/P000+jUJzM9co//Yyyd96h16ofMI+IaPc4Nr8MO+ZTddM6Fi0tR9VozrX3BRHb/8K2HL+Qns/ignI2xIXQ26bjTpTHZWW9R3bOhwwetAULi+655HNcSUkJu3btIikpidbWVnx8fIiLiyMiIuL8ttj1IPv27WPt2rVMmjTpsk+jTCxL5KvDX7E5dzMG2YCNxoYVE1bgY9s9/UiuGLp62LUAdsyHlsa2XRbD54B1p8X33Uq0hr7yabVahZWVlUGhUPDpp586rFixwvG33367LE1oxHjrMyRszSf9rxL639CrW5IFWZZJS5tLbe0BoqMWnJYslDS38HVhOUsKKyjVteJvoeHVIE/ucHfEXn36j19u0dNSWI/NsParBI2NjWRkZBAfH39asmBobqby66+xGjKk42ShNKXtza3P3aw3z2V5+Ic8nP8aO7/MQ9VkQdSw85/AObuXO2vKqpmdls+6fsEoz/Lt09PzDnJyP6Kg4FuCgmaf93OdjZubGzfffDNjxozh4MGD7Nu3jx9//JGNGzfSp08f4uLicHQ0/pCmrmpoaOC33367qELHixHtEs1b175FvjafVRmrGOw5WCQLHdFYwbX/hH73w7Y3Yf+XcGi5yc+oEHqOHTt2WP7jH//wlWUZW1tb/eLFi3OMHRNchQlDQXoVO1Zm0qu3M3Hj/LvnnAXfUFj0Hf5+j+Pq2tbQprBJxwd5pSwrrKBFlrnOyZYHvJwZ7miDopMPWF1BHRjkdg2bAFJSUtDr9e0+SGp++hl9eTlO//tv+xPKMqx7BsxsODrwUeb/+iBx/v247+4R/PJFMtu+SaOusokBNwWc15KznVrFq0FePH44lyWFFdzn1XnSZW7ugbPzdRQWrSQgYFa7Md7dwdLSksGDBzNw4ECys7PZt28fu3btYufOnQQGBhIfH09wcDBK5WVbubsg3V3oeKG8bbyZ2Xem0Z7fZBzfUTHwMfjt1bYdFXu/gBHPQ5972no8CMIFuP766+vS0tJ63Ojvq+pftLayiU2fJWHnYsGo+yI6ndNwPqqr95Ge8RpOTsMJCJhFwbFE4ZvCCgzITHF3YoavK70sz/1BebxhU0cJQ1JSEg4ODnh6nuzTIev1VC5ahHlkJJYDB7Y/YcJ3kLsDw8T3mHvwPRSSglcGvYLGXMX4R6PZ9m06+zfmUlfdzIhpYSiVXS9pucXVnmWFFbyRVcgEFztcNJ1fAvDyuouysl8oLd2Iu/tNXX6O86VQKAgMDCQwMJDa2lr+/vtv9u/fz/Lly7G1taVfv3707dsXGxvjzT/ozPFCx4EDB3Z7oaNwiZ25o2LtU7DrI5PYUSEI5+OqKXpsbdGzcWEirS0Gxj8Wjcbi4nOlpqYiEpNmYG7ujUPg/5iTXsig3SksK6zgDg9Hdg4I560wny4lC9DWsEnpaI7S+vSiX61WS3Z2NtHR0ad989T++hu63FycHn6o/TfSxmr45UXwimOltQV7ivfwbNyzuFu5A6BQKhh+Vyj9b+hF2u5i1n14qK1XQxdJksS8EG8a9TKvHSk867GODoOxsPDr1s6P52Jra8vw4cOZNWsWd9xxB87OzmzdupV3332X7777juzs7G6bdXGxLleho3CJGXdHhcFgMIjMRLgox/4NdToD4KpYYZBlmW3fplOaq2Xco9E4uLffgXC+9PpmEpNmUNJqyU6H+Xy/r23r81QPR570c8OnsymRZ6HL06IJsGt3e3JyMrIsn3Y5QpZlKj7/HLWvLzajR7c/2ZZ/QUMFhbcu5O1dLzDQYyC3Bt962iGSJBE/oRfWDmZsXZrGj2//zcQnemNl17UEJ9jKnMd9XZmfW8JUdycGO3R87VaSFHh53Ulm5n/Q1qViYx3WpfN3B6VSSXh4OOHh4VRUVLBv3z4OHDjA4cOHcXZ2Ji4ujt69e3dtaNEl8vfff1NYWMikSZPOq6Oj0AMd31ERPAYOLGm7TLFoDITfANfNBedLNtsoqaysLMLFxaVGoVD0jExYMCkGg0EqKyuzA5I6O+aqSBiS/yggdWcRceP9CYh1uejzybLMtpR5fF47kD8Uo5HK9Nx5LFHwvoBEAaC1uhl9rQ4zn/bL5YmJibi7u+PicjL2hj17aUpMxH3uK0hnXpsvPAB7P0eOf5i5mSuQkZk7eG6n18XDB3tiaWfGxk+T+OHN/dzybF9sHLv2wfUPPzdWlVQxJz2fX+ND0Cg6XrTy9LiVrKy3KShYRljo6106d3dzcnJi7NixjBw5kuTkZPbu3cvGjRv59ddfiY6OJj4+/rRLPpeDsQsdhUtEqYK4+yHm9pM7KlLXX7IdFa2trQ8VFxd/XlxcHMVVtHIsdCsDkNTa2vpQZwdc8QlDUWY121dk4BflRP+JvS76fHmNzbxxeAdraiagkBTc7enCk76ueF1gonCcLq8WoN1I68rKSgoKChh9xipCxeefo3Rywu7mm08/kUHfNjjHyoUfe8Wya+88XhzwIl7WZ98N4RfpxC1P9+Hndw+w5v2DTHquH+ZW596aaKlU8O9gL+5JzGbh0TKe9Ov4+rta7YCr6wSKi38mKHA2KpXxKsnVajWxsbHExsZSVFTE3r17SUxM5MCBA3h6ehIfH09kZCQazcX9nXZFTyl0FC6RjnZUJKyA0a9CfKfvy+etX79+pcCN3XZCQejAFZ2J1lc3s/HTJGyczBn9wMUVOeY2NvNMah6Ddx9mba0N480Ps3tgBPNCvC86WYBjBY8qBWqP0y+XJCW1rQ5FRp4c396Umkr99u04TpuG4swl7P2LofBvikfM4X8HPyTePZ7bQ2/vUgyufraMfyyGmvJG1n+UQKuua7Maxjjbcb2zLe/klHC0qfOJtt5ed6HX11Nc/HOXzns5eHh4cOONN/LMM88wbtw4dDodP//8M++88w4bN26kvPzSbW2/lB0dhR7m1BkVQdeBub2xIxKE83bFrjDoWwxs/DQRXbOeG/8Ri5nlhTXyyW1s5r3cEr4vrkQBjJK2cqvZDsbFL0al6r7rzbq8WjRe1kiqkzmcLMskJCTg6+uLvf3JN5iKz79AYWmJw9Qpp5+krgx+exXZ/xpeq96PXtbz6qBXUUhdzwu9Qh0YfX8kmz5P4pcvkrn+kWgUXUi0Xg/2ZthfqbyUkc/i6IAOj7G1jcXaOoKCgmV4ed3Zo75Rm5ubM2DAAPr3709ubi579+5lz5497N69m169ehEXF0dYWFi3bc0UhY5XqeM7KgTBBF2xCcP279Ipzqpl7MNROHmd//J3TmMz7+WU8H1JJSpJ4h4PB4ZW/x8WTQnEx/yAStV9W/PkVgO6wjqsB51+/bykpITy8nImTDjZwlmXX0Dthg04TpuG0u6MAsnNL4OugTW9b2R7wofMjp99QY13gvq50lAbzPYVGfzxbRrX3hl6zg93H3MNT/u78e+sIn4pr2GMc/viTUmS8Pa6i9S0F6mp2Y+9fVwHZzIuSZLw9/fH39+furq6E1szv//+e6ytrenbty/9+vXD7syf/XkShY6CIJiaKzJhOPxnIcnbC+k71pegfudXXJTd0LaisLKkErUk8YCXM4/7uFKV9SJF9TuJjP4EK6vurXRuKaqHVrld/UJiYiIKhYKIUzo4Vi5eDAoFjvfde/pJcnbAoW8oG/QY81K/oo9rH+4Mv/OCY4oZ4UN9dTN/b8rDyt6M+Annrv94xMeF74ureDGjgGscbLDsoK+Du/uNZGT+h4KCb3pkwnAqa2trhg0bxjXXXENGRgb79u3jjz/+YPv27YSGhhIXF0dAQMBpnTe7QhQ6CoJgirqUMEiSdD0wH1ACn8uyPO+M++8Cjvf9rQMek2X5UHcG2lXF2TVsW56GT4QjA24K7PLjshqaeS+3mB9KqlBLEg96uTDD1xU3MzVHj35FUfEqevnPxMWlgy2MF6k5t63g0eyUhk0Gg4GkpCQCAwOxsmqra2itqqJ65UrsJk5E7e5+8gT6Flj3DLKdL68rtej0Ol4b/Np5XYroyMCbA6mv0bFnTTZWdmZEXHP2HQQahYJ5Id5MOpjJ/NwSng/waHeMUmmJh8ctFBSsIDj4RTQap4uK8XJQKBSEhoYSGhpKVVXVia2ZqampODg4EBcXR58+fbC0PPtcjeNEoaMgCKbonAmD1DZycQEwGsgH9kqStFqW5VPbVmYD18qyXCVJ0jjgU2DApQj4bOprmtm4MAlrezPGPBjZpWvvRxqaeDenhFUlVZgpJB46lii4mrXVPFRV7SYj8984O4+iV68nL0ncuqNalHYalKf0P8jPz6empoaRI0eeuK1q2TfITU04PfjA6SfY/TGUpbBx9Gy2Zn7LM/2ewd/O/6LjkiSJEdPCaKzV8fs3aVjaavCPOfvsjcEO1kx2c+CjvFImuzkQbNV+ud3L807y85dQVLQSP79HLjrOy8nBwYHRo0czYsQIDh8+zL59+9i8eTNbtmwhMjKS+Ph4vL29O00EREdHQRBMVVdWGPoDmbIsZwFIkrQcuAk4kTDIsrzzlON3A+2nJ11ier2BTZ8l0Vzfwq2zz70lMLOhifdOSRQe9nFhhs/JRAGgqamQxKQnsbDwIzLiLaSL/MbeGV1ebYeXI1QqFWFhbU2ODA0NVC1divWIEZgFnXJJpCYffp9HRfBo3ji6gWjnaKZFTOu22JRKBWOnR/HzuwfY9FkSNz3VB/cOmkud6pUgTzZX1DInPZ+VsYHtPjytrUOwt+9PfsG3+Po+fMl+rpeSSqUiJiaGmJgYSkpK2LdvH4cOHSIhIQE3Nzfi4+OJjo7GzOxkEigKHQVBMGVdeaf2Ao6e8uf8Y7d15kFgw8UEdSF2rMykKLOGEdPCcPbuvCAxo76JGYdzGfZXKuvKqnnEx4U9gyJ4NcjrtGRBr28iIfFRDAYdMdELu7XI8VR6rQ59VfNp8yP0ej3JycmEhoae+MCp/mEV+upqnB4+Y+/2xudBNvCGqzP1LfW8PuR1lIruHbKkMVcxYUZvLO3NWLvgEFXF9Wc93kWj5vkAD3ZU1/FjaXWHx3h53UlT01EqKv/o1liNwc3NjQkTJvDMM88wceJEANauXcvbb7/NunXrKC0tBU4WOo4ZM0YUOgqCYHK6ssLQ0dpqh61HJUkaQVvCcE0n908HpgP4+vp2McRzS91VROLWfHqP8iGkv3uHx6TXN/Febgk/llRhrlDwqI8rj/m6dDg0SZZlUtNeRKtNJibmU6ysOt4m2B06atiUlZVFQ0PDiYI4uaWFyi+/xKJPHyz79j354IzNkLKazQPu4ZfC35nZZyaB9l2v2zgflrYabpzZmx/+u5817x/i1n/2w8q+8xbS0zyd+LaoglcyC7jO0Qa7M0Z5u7qMJV3tREHBNzg7Db8kMV9uZmZmxMXF0a9fP/Lz89m7dy9///03e/fuxdfXl7KyMlHoKAiCyerKCkM+cOrePG+g3bQhSZJigM+Bm2RZrujoRLIsfyrLcpwsy3Gntjm+GKW5tfy+LA2vUHsG39L+wzKtvolHk3O4dk8qG8treNzXlb2DIng5yLPTCYtH8xdTXPwTvXrNwsX5um6JszO6PC0oJTSeJ7d+JiYmYm5uTtCxSw+1GzfRUlh4+upCSyOsf5Yq5yD+VZtAuGM490Xdd0ljtXOxZOITvWmsb2HNh4dobux8WJVSkvhvqA/lulbezC5ud79CocHT83bKy7fS1HT24VWmRpIkfHx8mDRpEk8//TSjR49Gq9Wi0+lEoaMgCCarKwnDXiBYkqRekiRpgCnA6lMPkCTJF1gFTJNlOb37w+xYo1bHhoWJWNioGftQFIpTtvGl1jfySHIOw/ek8ktFLTN8XdkzMIKXAj1x1nS+sFJZtYvMzP/g4jyaXv4zLvlraM7Tova0RlK3xd7S0kJqairh4eGoVKq2IVNffIEmKBDrU697//keVOUwLyCGWl0trw95HbXiwppTnQ9XP1vGPRJFVWE9Gz5JQN/S6WAzettYcp+XM4sLyjmkbWh3v5fnFECmoODbSxixcVlZWTFkyBCefPJJnn32WVHoKAiCyTpnwiDLcivwBLAJSAG+k2U5WZKkRyVJevTYYS8DTsBHkiQdlCRp3yWL+BiD3sCmz5NorG1h3KPRWNi0tWdOqWtkenIOI/ak8WtFLU/6urJ3YAT/d45EAaCxsYCkpJlYWPQiIuJ/l7wYT9bLtORrTxs4lZ6ejk6nO7FsXf/nnzSnpuL0wINIx/f7VxyBP99la9h1rC/bx/To6YQ6hl7SWE/lG+HEyHvCKEir5tevDiMbOh+ON6eXO04aFbPT8tGfMU7awsIbZ6cRFBZ9h8HQeUvpK4FCoTDqRExBEISL1aU+DLIsrwfWn3HbJ6f8/iGg+yapdMHOH49QkFbNdfeG4+pnS0pdI2/nFLO2rAYrpYKZfm484uOCo7prvan0+kYSEx9DllvoHfPJJStyPFVLcT1yi+G0gsfExESsra3x9/cHoOKzz1G5uWE38Vi3R1mG9c9RozLjdamCEIcQHoq+rD96AEIHelBfo2PXj0ewtNVwzW3BHS6126lVzA30ZEZKHksLK7jX6/RtmV5ed1KesIWyss24uU1o93hBEAShZzDJTo/pe4o59OtRood7Y4i258GkbNaV1WCtVDDLz43p55EowLEix9QX0dYdpnfMZ1haXvxUy67QHT294LGxsZGMjAzi4+NRKBQ0JiTQsGcPrv/8J9LxyYkpq+HIb/y39xgqtRl8OOpj1MpLfymiI33G+FJf00zClnys7M3oO8avw+MmuTnwTVElb2QVMd7F7rTaESenYZibe5NfsEwkDIIgCD2YyW2AL8/XsnVJKvpoOxZHqhi5N40/KrU85efG3kERzAnwOK9kAeDo0UUUl/xMQK9ZODuPuESRt6fL1aKwVqN0aNttkJKSgl6vJyoqCjg2ZMrGBvvbj02bbNbChjls9wxjdW0qD0Q9QIRTRGenv+QkSeKaycEE9XNl16ojpP3Vvrjx+HH/CfGmQW/gtSOFZ9ynxMtzKtXVf1FXn3E5whYEQRAugMklDKnaRn641pY3IpRsr6rjaf+2RGF2gAcO55koAFRW7iAjcx4uLmPw93/8EkTcOd1RLRpf2xNL+UlJSTg4OODl5UVzdjbazZtxmDoVpfWxkdfb3kRbV8RcWzOC7IN4tPejZzn75SEpJEbdF4FXqD1bvkoh73CHG2QIsTLnsWOzJnZW1Z12n6fnZCRJTUHBN5cjZEEQBOECmFzC0OpmTo6rimeOJQr/7OWB/QUkCgCNjfkkJf8DK6tAIsIvfZHjqfT1LbSWN56oX9BqtWRnZxMdHY0kSVR+uRhJrcbxnmNdG0sOw66PeDukP+W6Gl4f8joapeayxXs2SrWCcY/G4OBhxcaFSZQem41xpln+7nibq5mTno/OcHJ3hUbjjKvr9RQVrUKvb7+bQhAEQTA+k0sYrnWwYf/gSJ67iEQB2oocExIfRZZbiYn+GJXq/EdgXwzdUS1wcuBUcnIysiwTHR1Na1kZNT/9hN0tt6Bydm4rdFz3NDttHflBV8S9kfcS5Rx1WeM9FzMLFTc82RtzKzVrPzxETVn7D35LpYI3gr1Jb2ji06Nlp93n5XUXen0dxSVrLlfIgiAIwnkwuYRBkiRsVBfX+liWZVJS5lBXl0pk5HuXrcjxVLq8WlCA+lgb68TERNzd3XFxcaHy6yXILS04PXB/28GHvqX+6G7murnhb+vPjNhL3x/iQljZm3HDzN4YDDJr3j9EQ237rZJjnO243tmWt3NKONp08n57uzisrIIpKFiGLHe+TVMQBEEwDpNLGLpD3tHPKSldS2DA00ZrS6zL06J2t0KhUVJZWUlBQQFRUVHo6+qoWr4cmzFj0Pj5QUMl/PIS7/qEUNyi5fUhr2Om7Lwls7E5uFsxcUZv6qubWbfgELqm9t0gXw/2BmRezig4cZskSXh53YVWm0ytNuEyRiwIgiB0xVWXMFRU/klm5n9xdRmHn99jRolBNsgnCh6hrdgRICoqiuoV32HQanF66FhvhS2vs0euZ4Wykbsj7ibWNdYoMZ8P9wA7xjwcRVmelk2fJqHXn94N0sdcw9P+7mwor+GX8poTt3u434xSaUlB/rLLHbIgCIJwDldVwtDYmEdS0j+wsgoiPPxNo/X0by1tQG7Wo/GxQZZlEhMT8fX1xdbSksqvvsJy4EAsoqMgfz8N+xfzipcfvja+PNnnSaPEeyF6xTgz/K4w8g5XsnVJarvLDI/4uBBsacaLGQU0HEsoVCob3N1uoqR0LS0tHU+5FARBEIzjqkkY9PoGEhIeBQzERH+CSmVltFh0eW0Fjxo/W0pKSigrKyM6OpraNWtoLS3F6cEHwaCHdU/xgasH+foGXh38KhYq02otHHGNJ/1v6EXa7mJ2/5R12n0ahYJ5Id4cbdLxfm7Jidu9vO7CYGimqGjV5Q5XEARBOIurImGQZZnDKbOpq08nKvI9LC077kh4uTTn1aKwVKFyMicxMRGFQkFEeDgVXyzCLDwcq2uGwL5FHKhMYZmlkqlhU4lzjzNqzBcqbrw/kUM9+XtTLglbj5523xAHGya7ObAgr5SM+iYAbGzCsbPtQ37BMmS588FWgiAIwuV1VSQMeXmfUlq6nsCAZ3FyutbY4aDL0564HJGUlERAQACGv/5Cl5WF04MPItWV0vTb67zs6YOntSez+s4ydsgXTJIkhk0NpVdvZ7Z/l0Hm/tLT7n8lyBMLpcTz6fknLlt4ed1FY2MOVVW7jBGyIAiC0IErPmGoqPiDzCNv4eo6Hj+/R4wdDobGVlpLG9D42pKfn09NTQ3R0dFUfPY5ai8vbK8fC5tfYoG1ihxamDv4VSzVlsYO+6IoFBJjHozEvZcdm79MpiCt6sR9Lho1zwd48md1HT+WttUtuLqOR612IL9AFD8KgiD0FFd0wtDQkEtS8j+wtgomwohFjqfS5R+rX/C1ITExEZVKhW9jI40HD+J4//1IR3eRkPYjX9taMzlkMgM9Bho54u6h0iiZMCMGO2cL1n+cQHn+yfbQ93g60dvGglcyC6ht1aNUmuHhcSvl5b/S1NzxfApBEATh8rpiE4bW1noSEh8FJGJiPkGp7Bnf0nW5tSCB0tOS5ORkQkNDqVv8FUoHB+xvmkjzuqd5yc0dV0tXnun3jLHD7VbmVmpumBmL2kzJ2g8Ooq1sq1tQShJvhvhQrmtlXlYRAF6eU5FlPYWF3xkzZEEQBOGYKzJhaOvkOJv6+kyiIudjYeFr7JBO0B3VonK1JKcwj4aGBkKdnKj7/Xcc7r4LxaFFfKIvIUsJcwe/irXm8rarvhxsHM25YWYsLToDa94/SFNdCwCxtpbc5+XM4oJyDmkbsLT0x9FxKIWFKzAY2jd/EgRBEC6vKzJhyM1dSGnZBoICn8PJaaixwzlBlmWa87SY+dqSlJSEubk5Dpt+QbKwwGHicJJ3vs2X9nbcHHQzQ7yGGDvcS8bJy5rxj0VTU97Iuo8O0aLTAzCnlztOGhWz0/LRyzLeXnfR3FxMecVvRo5YEARBuOIShvKK3zmS9RZurhPx9X3Y2OGcprW8EbmxFcnLgpSUFEL9/albtw77yZORd/6LlxxscDJ34rn454wd6iXnFeLA6PsjKc6u5ZfPkzHoDdipVcwN9OSgtoGlhRU4OY3AzMydgnwx9loQBMHYrqiEoaEhh+Tkp7C2DiU8/D89osjxVMcbNuUZStHpdPgeOQKyjNO1vfi0ZAcZGhUvD34VW42tkSO9PIL6uTL09hByEsrZtjwdWZaZ5ObAYHtr3sgqoqJVxstzCpVVf9LQkG3scAVBEK5qV0zC0Npad6zIUUFMdM8pcjyVLq8WyUzJ4bx0rK2ssPhhFbbjxnLkwBt8bm/HRP/xXOtj/D4Rl1PMCG/6Xu/H4e2F7F2XgyRJzAvxpkFv4LUjhXh63oEkqSgo+NbYoQqCIFzVroiEoa2T4z+prz9CdNT7WFj4GDukDunytMjeZmRkZBAoy0gNDdjFyLxkpsNOY8OcgS8YO0SjGHhTAGED3dm7Npvk7QWEWJlZk+7tAAAUUklEQVTzmI8L3xdXsb/BEhfn0RQWrUSvbzJ2qIIgCFetKyJhyMn9iLKyTQQFzcbRsWcWCxqa9bQU15NnXoler8dty1asBvZjWdUqUs00vDTkdezM7IwdplFIksTwaWH4Rjqy7Zs0sg+VMcvfHW9zNXPS83HxuJPW1hpKS9cZO1RBEISrlsknDOXlW8nKehc3txvx9XnQ2OF0SpevBRnS6vKwU6uxz8mhKbCAT+ysud57ONf5XWfsEI1KqVQw9uEoXHxt2PR5MjU5Wt4I9ia9oYmV9YFYWgaQXyCKHwVBEIzFpBOGhoZskg8/hbV1OOFhb/S4IsdT6fK0NNBMXmk+PllZmAd58bJrAbYqS54f8qqxw+sRNOYqJszojbW9Ges+OkRci4qxzra8nVOC0vVeamsPotUmGztMQRCEq5LJJgytrXUcSngUSVIRE/0xSmXPHv2sy6sl17YKWZbxSUwkIbiAZHMznh88F0dzR2OH12NY2mq4YWYsCoXEmg8O8oKrCyCzQNsfhcJczJcQBEEwEpNMGGTZwOHDz9LYmH2sk6O3sUM6K1mW0R3VkqkoxrGxETszPf+KUjDKpR9je40zdng9jp2LBTc8GUtzfSsHPj3MTC8XNlU2kGX3CMXFq2lt1Ro7REEQhKuOSSYMOTkLKCvfTFDgnB5b5HgqfVUz1fW1lDRV4J2WztredZirNbw44q0efRnFmFx8bRj3SDRVRQ34rCkm2MKMjxuG0WjQU1T8o7HDEwRBuOqYXMJQXr6VrOz5uLvdhI/P/cYOp0t0ebUcUbRNXfQoP8o3fdTMiZ+Ds4WzkSPr2XwiHBl5bzgladVMymghXwcbNY9RUPANsiwbOzxBEISrisklDFZWQbi730xY2L9N5tt5c24tR1QlOJeVsSmygSEOwUwIu93YYZmE0AHuDJ4UhGZHOUOblKxqGUpGfQPV1XuMHZogCMJVxeQSBgsLHyIj3urxRY6nKsrOp1qqxys/l+19lLw05mOTSXZ6gtjRPvQe6UPcxnLMZImvpEc5mi+KHwVBEC4nk0sYTI3coie1IhtJlkl1zOeJ+EdxtXY3dlgmRZIkhkwOIjbahWF/15NEBKvL62jWlRs7NEEQhKtGlxIGSZKulyQpTZKkTEmS5nRwvyRJ0vvH7k+QJKlv94dqmprztWQpSnCvqqd8kB03933c2CGZJEkhMereCG5QWuJV08hSeRoZ+T8YOyxBEISrxjkTBkmSlMACYBwQAUyVJCnijMPGAcHHfk0HPu7mOE1W1p4E6qQmdM1HeG7yF+JSxEVQqhVMfDSaO3JU1GDHW3mNyLLe2GEJgiBcFVRdOKY/kCnLchaAJEnLgZuAw6cccxPwtdxWur5bkiR7SZI8ZFku6u6Af/7P61SXNnb3aS+ZJgsHlGoJ1Gq2ffC5scO5Ini3ygwoCGKT11CeWv4vzBrFjgnBtAQobXjk3meMHYYgnJeuJAxewNFT/pwPDOjCMV7AaQmDJEnTaVuBwNfX93xjBaC+solsO80FPdY46nFv0uDgHGDsQK4YSpXExCNZpHkGsNz9JmOHIwjn7fqaHTxi7CAE4Tx1JWHoaA39zK90XTkGWZY/BT4FiIuLu6CvhaMevpOwhP0X8lCjCbtuIpYOov1zd7uxuoz00m5fxBKES84z4mZjhyAI560rCUM+4HPKn72Bwgs4plu4hkTiGhJ5KU4tmBhXexdc7V2MHYYgCMJVoSu7JPYCwZIk9ZIkSQNMAVafccxq4J5juyUGAjWXon5BEARBEATjOOcKgyzLrZIkPQFsApTAIlmWkyVJevTY/Z8A64HxQCbQAJhGz2ZBEARBELqkK5ckkGV5PW1Jwam3fXLK72VgRveGJgiCIAhCTyE6PQqCIAiCcE4iYRAEQRAE4ZxEwiAIgiAIwjmJhEEQBEEQhHOS2uoVjfDEklQG5F7gw50BUxpVaErxmlKsYFrxmlKsYFrxmlKscHHx+smyLBqQCJed0RKGiyFJ0j5ZluOMHUdXmVK8phQrmFa8phQrmFa8phQrmF68ggDikoQgCIIgCF0gEgZBEARBEM7JVBOGT40dwHkypXhNKVYwrXhNKVYwrXhNKVYwvXgFwTRrGARBEARBuLxMdYVBEARBEITLSCQMgiAIgiCck0gYBEEQBEE4pys2YZAkqb8kSXaSJFkf+3OPfq2mFK8pxQqmFa8pxQqmFa8pxXomSZIkY8cgCFdk0aMkSZ8C/sAhwB54Q5blbEmSFLIsG4waXAdMKV5TihVMK15TihVMK15TihVAkqRHgGygVpbl3cduk+Qr8Q1bMBkmk2F3lSRJ0wAvWZbHAB8CSmCJJEkBsiwbelqmbkrxmlKsYFrxmlKsYFrxmlKsAJIkLQEmAgOAhyVJ+jeALMtyT4tVuLpccQkDYAakAciynAvsASqBjyVJcu2BGbopxWtKsYJpxWtKsYJpxWsysUqSFALYybJ8A/BvYCNwlyRJb0Jb0mDM+ISr25WYMGwBJkqS9KIkSWHAFGABbUuR/sYMrBOmFK8pxQqmFa8pxQqmFa8pxaoBoiRJ8jx2qSQDWAlEHFspEQSjuSISBkmSxh7/vSzLWcBtwBjgH8BqWZY30fY/YrRxIjydKcVrSrGCacVrSrGCacVrSrGeSpblJGDZ/7d35kFbVXUc/3xZBERAwYVUNKRNnawpM3XcxhaVJgP3FbVFzaXMykgTlyaHSlHGcQFDhBDKilFcwCXBym3GcVpE23DBrRClTA1F/fbH7zxwfQeEXDr32PnM3Jnn3nvuPJ8573Pf+7vn/M45wK8kfQm4HPgtMAPYNKdbpdIjt8CbRdJ0YCdJ022PBrD9O0mfAF5pNOENA+7N5dmhJN+SXKEs35JcoSzfklwBJI0G7rF9C4Dt0yU9Ahj4oe0Zkj4K7C6pp+1lOX0r/78U3cIgaXtgCHAUMFDS2Ob5lCS0nqSpwHO2p+bw7FCSb0muUJZvSa5Qlm9JrgCSrgCOBU6StFfnuO0f2Z5ke0Y6dBbwTA0WKjkpflilpGHA40TT4gnAk523inS+DzDc9i/SftZhVCX5luSavr8Y35Jc0/cX41uKq6SeRGLjLGBj4AjgQttzpBhCmVzHAINsH52uq8MrK1koMmCQtDXwgu2HGsd6AB8i+igX2D5L0kHA1baXpjJZbrSSfEtyLc23JNfSfEtybZIcBfQBRgIHAJfYvq5RZouUh5E9cKz8f1NcwCBpGpHZ/ATwqu2DGud6AZsDo4H9gOtsH5LDs+FUjG9JrsmpGN+SXJNTMb4luSanY4CFwD9s39k4vi6wDzEHw8XAZ4Aptn+bzteWhUpebBezEZnO89LnXsBsYshR7y7l7iFutM6+qu87x7U035JcS/MtyTV972XAr4HTgEeBUV3OCzgMWAZck8OxbnVb1VZa0uNfgIclDbD9ou29iEzin3UKSBoO3Gf7iLTfzXauqLwk35JcoSzfklyhLN9iXCUNBd4P7GH7e8R8EN+WdFSnTPL6AvBT259L19XZHSutoLSAYQnQD/hI54Dt/YG+kk5J+zfYPhJa0d9Xkm9JrlCWb0muUJZvSa5PAPcDH1UMj7ydCA7OkbRP8usNXG/7sIZv7YaotILWBwySTpZ0pmIiloXAL4DzJe0oqXsqNm5l1+b4x1CSb0muUJZvSa5Qlm9JrgCS1kvf/SLwJHAkaQ4c23cAxwCHp1aSpbbPTdflDhwrldfQ6ombJE0G+hNR+SFAd9vTJfUHzgWukPQH4Djgj/lMg5J8S3KFsnxLcoWyfEtyBZB0ATBM0kPAlY6RGtcAl0o62fbTwDxiSOXLzWtrsFBpG60dJSHpYOAY27ul/a8RY6c/lfaHE82Q2wCLbJ+QyzX5FONbkmvyKca3JNfkU4xvSa7J5zJiKe3RwBeBPrZPSudmAC8QLQ4fBv5p+9BcrpXKGvHfZEj+rzZgFLAOMYa6E9QMBGYC/buU7dn43K36vnNcS/MtybU035Jc0/duAlwNrJv2NyRaRbZtlBkOHA2MbhzLMnqjbnVbk62tOQwjgFNs/852pwnkFeKmexlA0t6pz29Z2pfzNeGV5FuSK5TlW5IrlOVbjKukM4CPE10mL0jqbXsRMaJjrU45RzLmRNtj03U1wbHSaloVMDQSlo4DLOm96fhaxI32FNAjNeftYPufnWtz3Gil+SZKcoWyfItwldS571vvq5gJsQjXBjcDhwNDbb/kNKsk8CwxVwSSTpe0TfOijIFjpbJGtCpgaPBvIiFzB4B00z2Vzs0j+vu+ncltObZfSR+fo8W+krZuBDf/osWuAJL2lzQg7bbaV9JpkjZLu8/TYlcAxdoEvdNu6+8z251EwH8DPWmxKyyfM+FOYA6wRTrWK51eAmwqaRIRTPw+j2Wl8sZoRcAgaZykccAPJG2S3hKuBL4iafdUpjtxA/7V9rHpWBZ/SZdKukmxeAy2n0u+JyqW0G2Nr6TLgUM7wY3t52l33U4D9ga6N3ynJ9+21e2FwNeAz6Xm73+x4nfQxrqdCEwEfi5paJvvM0k/lPRdSadKGpZcf9JG1/S9QySt4wTR8jEqHXsxFXsWmAAssf35dF2dlKlSDNkDBkk/AjYDbiAyij8IYPt+YknXXSQNSg+84bYPSNflWmGu0we5PTCh8/aQfM8Edm6Lb3qT6W/71MYxtbhuDwAG2j7c9jMKetueT/vq9hKi//xbwM6d5u9Ut2Pa5NrwHUhMSTyf195nZ9Oi34KkCcTaELOBF4GbJG2V3shb5Zq+dxIwDbhA0rkAtmcSOQvjOi8WwCPAjba/0fCtOQuVYsgaMEj6LDGOej/btxB9krtJOlzS5kRTY/+0QQxByjqhie2XiGlnvwgMAKYmp6HAfUBfWuAraTdiiNm0tL+vpJOBU5PrbbSsbom//8Lk8VViAZ4bJW0H3E3Ud6erImfdHgesb/tA25OAIZLObBRZQGT0t6Ju05t4T+Cbthcmr70lXSRpS6LPfUAbfNMbd0/gy45JjSYCTwOzJb0P+A0xs2N21/S9XyZaOYYD5wHbSpqZTp8O/I0Y5onty2yPzOlbqbwZsgUMqY/6RiKZqTPGelvg78B7iOFS3YC/ApenN81XIdtsbRs2dvsCu9reF+gl6QlgvO1HiH9gWX0Vq97dBUwBPiDpKuCb6fQgomkX4sHWhrodnD7eByyW9CkiK/5C4FqiS6I38WY8KXPd9gWucEw/3OEMYLBWzOj3Z+Ax2lG3GxFrK6wHnJBaGnYFZhH3Widw/GNu3+QqonVhVDrcD7gF+Clwtu1niKAye90mFgC3237e9gOOOSI2kjQttYAsAfZoXpBa+WqwUCmOLDM9pm6IjYno+zpJc4A/EU27i1OZzYBhti9WzOK2biqfy3ewpMXESnh3AFul048RQ6iWAdgel7opsvg26nYBcC+wfnLbx/YTqcwVwBa2L5LUL5drw3ewpL8RrQi7EW9ss1Jz+f2SBgF72r5M0ga5fBt1u0jS1cBttpcQdf0xYE9gBoDt8ZLWzuXa8H0X8ACxQiLAYGCM7VnArFS329ueIGlgLt+G63zgJuAMSUOA3YHLgcnARZJ6pbrtk8u1C8uA3SVtYfvBdGwX4AZJexGrU86VtND2NMg+6qhSecPkSGY6gXgg7ENMZLIDcAqRuLS4UXQI0UcM8H3buf7pdnz3I96AdyH6gfeQ1AkcNgU2lHRSumxsDt8udfsoUYd9gXM7wUJiCLBR+tyWuv0L8Ra8gKjTLZWG0AFbE2+e0I66vQ/YEfi6pHVtLwDOAY6T9O7GZVlc4TW++wKLiYfrIGJEz/qNoluyopsnd93uS7yRLyW6/WYCB9geb/tZwvvd6bKcv9vJkn4MYHsu0VI6LwU4ndFTc4CNHQnRRwJzc7hWKm8lObokegC3OMYmjweuJx5qx0vqJam/pOnAQ7bnQPaIvKvvbCID+nHioTw8/YPY1fYFkNW36Xo+0d+7FNhLUg9JvRXj1R+0fWNmV3it7ziiRWQ+0YKzNnCMpJuJaX4nQmvqdjyRpNuL+N32IZr2FxFvyUCr6vY8Ih/oZSLBeJyki1PdPmx7KrSmbs8D/kDcYzsSS1f3kjSb+B38KaerpDFEQNsn/Z/C9llELtOtkj4paRPg00RrFLbn2348h2+l8laSo0viNmCipDttz5V0G9E/PQLYADgWeM720bC8vy/nP96uvvOIAGcAcL7tpakvdWkLfLu6ziUSCUcSrTWjiCFdnbyRttXtL4mH8HrEg2MRsJXtuyF7otiqfrcjgX62F0m61Padmfy6sjLfdYBXiRyGocBdnWChZXV7K5H4OIJoFdkWuNf2ack15+/2SiJYfACYKmmG7YNtf0fS48D+RKDwd9vfzeRYqbwtZFl8StLRwHbAZMea8ChWcJsMzHYat9yWTOLX8Z1pe0pWuS68jusU4DrHKI+21+21wM86D7N0LHdw83p1e7XtyY1y2V2Tx8p8rwem2L6qUS77b+F16vbKFrp2s/1qyv+YALxi+8B0bmuidfSFZtmMupXKW0auURJXEc2OJ0raLx3rDgxoBAttyiRemW834m2tbayqbvs1goW2162IzP7ltOEBzKrrtuuyxG1whZX7mjQ9cYeW/BZWVbe9m4Xa4OoVIzOeBo4HXpb0Y0mzgJ0awUKb7rNK5U2TbXlrSesQ/XxjieRHbI/IIrMGlORbkiuU5VuSK5TlW5IrrGhJUozieopoaTowt1el8naRLWBYLhBzBqzlWM2t9U14JfmW5Apl+ZbkCmX5luQKIOlSYkbVQ9J+q30rlTdK9oChSVv6fteUknxLcoWyfEtyhbJ8S3CVNMT2o+lzDRYq71haFTBUKpVKqZQQ3FQqb4YaMFQqlUqlUlkt2VerrFQqlUql0n5qwFCpVCqVSmW11IChUqlUKpXKaqkBQ6VSqVQqldVSA4ZKpVKpVCqrpQYMlUqlUqlUVst/ACPIbKNxpJiQAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "migrated_customer_orders_df_grouped = df_orders.groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "list_of_industries = df_orders.IndustryCode2Description.value_counts().nlargest(10).index.tolist()\n",
    "list_of_date_bins = []\n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    \n",
    "df_migrated = pd.DataFrame(0.0, columns = list_of_industries, index = list_of_date_bins) \n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:   \n",
    "    only_webshop_for_scaling_df = group[group['PurchaseOrderTypeDescription'] == 'Webshop']\n",
    "    only_webshop_for_scaling_df = only_webshop_for_scaling_df[only_webshop_for_scaling_df[\"IndustryCode2Description\"].isin(list_of_industries)]    \n",
    "    months_industry_df = group.groupby([\"IndustryCode2Description\"]).count()[\"CustomerId\"].reset_index(name='count')\n",
    "    only_webshop_for_scaling_df = only_webshop_for_scaling_df.groupby([\"IndustryCode2Description\"]).count()[\"CustomerId\"].reset_index(name='count')\n",
    "\n",
    "    for i in list_of_industries:\n",
    "        list_of_active_industries_in_month = months_industry_df['IndustryCode2Description'].unique()\n",
    "        list_of_active_webshop_industries_in_month = only_webshop_for_scaling_df['IndustryCode2Description'].unique()\n",
    "        if i in list_of_active_industries_in_month and i in list_of_active_webshop_industries_in_month:            \n",
    "            df_migrated.loc[name.date().strftime('%m/%Y')].at[i] = (1.0*only_webshop_for_scaling_df.loc[only_webshop_for_scaling_df['IndustryCode2Description'] == i, 'count'].iloc[0]) / (1.0*months_industry_df.loc[months_industry_df['IndustryCode2Description'] == i, 'count'].iloc[0]) \n",
    "\n",
    "df_migrated.plot()\n",
    "plt.xticks(rotation = 45)\n",
    "plt.title(\"Percentage Webshop Orders by Industry for Migrated\")\n",
    "plt.legend(bbox_to_anchor=(1, 1), loc='upper left', ncol=1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Offline Order Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Breakup of Offline Orders per Month for Migrated Customers')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZQAAAExCAYAAABbFFT9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3dedxUZf3/8debRcA9dxEUJDVxCRVx90tQYmpibpGlaK6puaSWtkl9tZ+mX7cyFSPB3DMFrTRNRVvcsFBwS82NXAF3hVw+vz+u68bD7czcw83cM3PD+/l4zGPmXGf7zJkz53OW61xHEYGZmdnC6tLoAMzMbNHghGJmZjXhhGJmZjXhhGJmZjXhhGJmZjXhhGJmZjWxWCYUSSHp0w2OYRtJT0h6W9Ju7ZyGJF0i6TVJ9+Wyb0p6OU93xeJ3lXShpB/W8nvUWjP8Np2VpKGSZizA8KtKukvSW5L+ryNjazXfNfP62bVe81wQC7oc7WNNkVAkPSPpvbySvSbpD5L6NjquDvYT4BcRsXRETCw1gKT9JU2T9K6klyRdIGn5wiDbAl8A+kTEEEndgbOAHfJ0ZxWnFxGHRcT/dsSXkdRH0uWSZkl6R9J9knbpiHk1O0n9cmL8R6vylST9V9IzNZrPwibfQ4CZwLIRcVwN4tk/x3RWq/Ldcvl4gIh4Lq+fHy7sPMvEMV7SKR0x7Tx9STpK0vS8rs+Q9FtJGy3kdDs07npoioSSfSkilgZWB14Gfl5uwGbds1lAawEPl+sp6TjgdOAEYDlgyzzOrZKWKEzjmYh4J3evCvSsNN2OIGkF4K/Af4ENgJWAs4ErJO1ZZpxuNY6hptOr0XyXkrRhoXsf4OkODmlBrAU8Eu24u7nC934K+Eqr/vsB/2pHfAsy33o6FzgaOApYAVgXmAjs3MigaqndyzkiGv4CngE+X+jeCfhXoXs8cAHwR+Ad4PNAb+B3wKukP+lRheGHAHcDrwMvAr8Alij0D+DT+fO2wPPA54AxwGWF4frlYbvl7snA/wPuA94AJgErVPheBwNPArOBG4Deufwp4CPgPeBtoEer8ZbN5Xu3Kl8aeAX4BnAgMAf4MA97ZV42kbtvL/FdxwOn5M9DgRnAcXmaLwIHFObVAzgTeI6U4C8EepX5nv8LTAe6tCr/LvAsoEIsRwBPAE/nshPyvF/I36sYb9kYCvF/F3gJ+A0pkf0+/+6zgb+0jqnVOnAU8G/SXvoZxWFzLI8CrwF/AtZqNe5836PVtFvWmx8AZxTKpwDfJ+0EtJStn9er10k7Aru2Wu/PB/4AvAXcCwzI/e7K83gn/95faes3bRXjeOB90k7A26T/VA/gnPxbvJA/9yi3vEtMc3/SjsXNwM65bIU8/BnA+DL/q/75+7wF/Dl/58taDXtgXg/uyuW/zdN9I4+7QS4/pNX3ujGXV9pe9MrL4zXgEdI6OaPMcluH9J8bUuF/Pxk4qPVyyZ9F2tl6Jcf+ELBhhbjbWj9+CdyUx/kbsFr+3V4DHgM2KQxfaRmMAa4FLgPeBA4ibUen5O6XgbPa3JYvTCKo1YtCQgGWBCYAl7ZacG8A25COqpYEHgB+BCwBrE3aMIzIw29G2qPvllfIR4FjWm0QPg2MICWTIYWF2lZC+U9eAZbKP85lZb7TMNKGalPSH/Xn5D9D6+9cYtwdgQ9a5tuq3wTgytYraql4i9+1sByLCeUD0qm37qQk/i7wqdz/HFISXAFYBrgR+H9l4r0H+HGJ8v55/usVYrk1T7NX/p4vF5bnFa3iLRtDIf7T8/LtRUr2F+bv0x3YjpzMSsQWwB152muS9qAPyv12I+0IrJ/XoR8Af2817rzvUWLaLb9DP9L61TVP63HShvuZPFz3PJ/vkdbjYaSN6nqF32s26Y/dDbgcuKrUb1vNb1oiznnrQ+7+Sf4tVwFWBv4O/G+55V1ievuTEso+wNW57HDgIuAUyieUu0k7DkuQdvDe5JMJ5VLSOtKyQ/GNvE60JMGpFb5XFypvL04j7XysAPQl7RyVSyiHAc+2sT2bTPmEMiLHsjwpuawPrF4m7mrWj5mk7V1P4HZSotiPtM6dAtxR5TIYQ0pou+Vhe+XfZd/cf2lgyza35Quy4e+oF2nj+jYpC39A2jvaqNUKUkwwWwDPtZrGScAlZaZ/DHB9qz/iSaS95+J8xtB2Qjmt0H8gaY+ia4l5jgN+VuheOv9g/QrfuVxC+TrwUpl+pwG3tl5RS8Vb+K7lEsp7rYZ9hZSIRdrzHVDotxUl9sZzvyeBw0qU98zz36YQy7BC/1+3Wp7r8nGyrxhDjv+/QM9C/5+Qjho/XSrOVrEFsGOh+3Dgtvz5JuDAQr8upA3zWqW+R4lpz/sdSHvcI/Lv9n3mTyjbkfayi0dGVwJjCr/Xrwr9dgIeK/XbtvWblolz3vqQu58Cdip0jyjE+onlXWJ6+5MSSi/SjsJypAS1DWUSCimZfwAsWZjOZXwyoaxdYb7L52GWK/O9Km4vSBvW4rpwCOUTyveBe9pYtyZTPqEMI+28bMknj+hbx13N+nFxod+3gEcL3RsBr1e5DMZQ2OHNZXcBPwZWauv/1PJqpmsou0XE8qQ9jiOBOyWtVuj/fOHzWkBvSa+3vEhZfFUASetK+n2+kP0m8FPS6ZCiY4BrImLaAsZZjONZ0l5E62lDOrx8tqUjIt4GZgFrVDGPmcBKZc5jrp7718KsiPig0P0uKfGtTD4KLCzfm3N5uXhXLxNrS/8WxeXXm08uzxbVxPBqRMwpdJ9BSm63SPq3pBPLxFsqlmdzPJDWr3ML851NSnBrlBm3kktJG5SvkjaURb2B5yPio1ZxFOfzUuFzy+9TSbnftBrzrbPMv0zgk8u7pIh4j3Sa7gekjdHf2pjn7Ih4t1BWatnOK5PUVdJpkp7K/+9ncq9S/0NoY3tB5fWwtVmUXterEhG3k07Bnw+8LGmspGXLDF7N+vFy4fN7Jbpbfvu2lgF8crkfSNrJe0zS/dVUsmmmhAJARHwYEdeRzlNuW+xV+Pw8aU91+cJrmYjYKfe/gHT+cJ2IWJa04NRqVnsBu0k6plD2Dmkj1mI1PqlY+2xN0lFHqQ38C6QfEQBJSwErkk6ZteVuYC6we7EwT+OLwG1VTGNhzCStjBsUlu9ykSpNlPJnYA9JrdenvUm/VfGCbPF3fJFPLs8FiaE4LSLirYg4LiLWBr4EfFvS8Arfs/W8X8ifnwcObbV+9YqIv5ebdwW/I12s/XdEtN5QvQD0bbXc1qS6daQjzLfOMv8ygeq/M6REehzp2lYlLwIrSCr+70rV8CzOex9gJOlobznSUQx8/B9vHWdb24tK62FrtwF9JA2uMEzF7UhEnBcRm5EqsKxLumZTKu5arh9tLYNPzD8inoiIr5JOgZ4OXJu3QWU1XULJVfJGAp8iXfso5T7gTUnfldQr77FsKGnz3H8Z0nnYtyV9BvhmiWm8AAwHjpJ0eC6bCmyf68kvRzokbO3rkgbmP8BPgGujdPXHK4ADJA2S1IN0lHRvRDzT1jKIiDdIh5o/l7SjpO6S+pEuRM6g7T/pQsl7RBcDZ0taBUDSGpJGlBnlbFJFgnGSVpPUU9JXSacHToh8/FzCNcD+heV58kLEgKRdJH1akki//4f5Vc4Jkj6lVEX9aODqXH4hcJKkDfJ0l5O0V4XplBWpBt4w0kXO1u4lbXy+k3/joaREeFWVk3+ZdC68Vq4EfiBpZUkrkc63tz6qqtadpCrtZWtrAuQkOwUYI2kJSVuRlkEly5B2uGaRNtw/bdW/9XJpa3txDen3/pSkPqRTR+XifYJ0IfxKpftVlsjr+6jCEfFUYHdJSypV6z6wZXxJm0vaQqmK/zt8XLGmVNwLu34UtbUMPkHS1yWtnP+Lr+fiilW9mymh3CjpbdKG4FRgdESUrP6aN+BfAgaRLkLNBH5F2lsBOJ60F/MWaaN0dYnJEBHPkZLKdyUdFBG35mEfIl3A+n2J0X5DOnf5EukawVFlpn0b8EPSHuqLwABgVNlv/8nxf0Y6sjqTtEzuJe1lDI+IudVOZyF8l3T66J58WuHPwHplYp1FOprsSaolMwv4NumCXslln8e7iXRB9fY8r9vbG0O2Th7mbdJR3i8jYnKF4SeRfueppFM043Jc15P2yK7K851OOjJsl4iYEhFPlSj/L7BrnvZM0oZqv4h4rMpJjwEm5FMYe7c3voJTSBv3h4BpwD9y2QKL5LaImF3F4F8jXR+bled3NSlhlHMp6dTPf0jr2z2t+o8DBublMrGK7cWP8/SeBm6h7R22o/j4tNXrpGtPXyZVGoG0g/VfUoKYQKpM0WJZ0jbptTzPWaT/eKm4F3b9mKeKZVDKjsDDebt8LjCqrVOeLdU5rQqSJpMuFv6q0bHYwpEUpFOiTzY6FpufpKtJlQ9ObnNgayrNdIRiZouhfBpogKQuknYkXR8p2XqENbdmuOvUzBZvqwHXkSqtzAC+GRH/bGxI1h4+5WVmZjXhU15mZlYTTihmZlYTnfoaykorrRT9+vVrdBhmZp3KAw88MDMiyrV80W6dOqH069ePKVOmNDoMM7NORVKl5mXazae8zMysJpxQzMysJpxQzMysJjr1NRQzW7S8//77zJgxgzlz2mwl36rQs2dP+vTpQ/fu3esyPycUM2saM2bMYJlllqFfv36kRqOtvSKCWbNmMWPGDPr371+XefqUl5k1jTlz5rDiiis6mdSAJFZcccW6Hu05oZhZU3EyqZ16L0snFDOzgpdffpl99tmHtddem80224ytttqK66+/vibT3n///enfvz+DBg1i00035e677644/JgxYzjzzDMrDtNMFutrKBtN2Khh8542ekEfZW+2+Ol34h9qOr1nTtu5Yv+IYLfddmP06NFcccUVADz77LPccMMNNYvhjDPOYM899+SWW27h0EMP5aGHHqrZtBvNRyhmZtntt9/OEksswWGHHTavbK211uJb30pPBf7www854YQT2Hzzzdl444256KKLAJg8eTJDhw5lzz335DOf+Qxf+9rXaKsl9+23354nn0zPd+vXrx8zZ84EYMqUKQwdOnTecA8++CDDhg1jnXXW4eKLL67l1625xfoIxcys6OGHH2bTTTct23/cuHEst9xy3H///cydO5dtttmGHXbYAYB//vOfPPzww/Tu3ZttttmGv/3tb2y77bZlp3XjjTey0UZtnyV56KGHuOeee3jnnXfYZJNN2Hnnnendu/eCf7k68BGKmVkZRxxxBJ/97GfZfPPNAbjlllu49NJLGTRoEFtssQWzZs3iiSeeAGDIkCH06dOHLl26MGjQIJ555pmS0zzhhBMYNGgQY8eOZdy4cW3GMHLkSHr16sVKK63E5z73Oe67776afb9aW6yPUKY9/VyjQzCzJrLBBhvwu9/9bl73+eefz8yZMxk8eDCQrrH8/Oc/Z8SIEfONN3nyZHr06DGvu2vXrnzwwQcl59FyDaWoW7dufPTRRwCfqObbuqZWM9eC8xGKmVk2bNgw5syZwwUXXDCv7N133533ecSIEVxwwQW8//77APzrX//inXfeWej59uvXjwceeABgvoQGMGnSJObMmcOsWbOYPHnyvKOlZuSEYmaWSWLixInceeed9O/fnyFDhjB69GhOP/10AA466CAGDhzIpptuyoYbbsihhx5a9khkQZx88skcffTRbLfddnTt2nW+fkOGDGHnnXdmyy235Ic//GHTXj+BTv5M+cGDB8dCPQ9lzHK1C2aB5/1G4+Zt1qQeffRR1l9//UaHsUgptUwlPRARg2s9Lx+hmJlZTTihmJlZTTihmJlZTTihmJlZTTihmJlZTTihmJlZTTihmJkVSOK4446b133mmWcyZsyYiuNMnDiRRx55pGS/MWPGsMYaazBo0CA23HDDNlsuHj9+PEceeeQCx90MOrzpFUldgSnAfyJiF0krAFcD/YBngL0j4rU87EnAgcCHwFER8aeOjs/Mmlit7xWr4v6vHj16cN1113HSSSex0korVTXZiRMnsssuuzBw4MCS/Y899liOP/54Hn30UbbbbjteeeUVunRZ9Pbn6/GNjgYeLXSfCNwWEesAt+VuJA0ERgEbADsCv8zJyMysbrp168YhhxzC2Wef/Yl+zz77LMOHD2fjjTdm+PDhPPfcc/z973/nhhtumNfo41NPPVV22uuvvz7dunVj5syZDB06lJYbs2fOnEm/fv3mDff888+z4447st566/HjH/+45t+xo3RoQpHUB9gZ+FWheCQwIX+eAOxWKL8qIuZGxNPAk8CQjozPzKyUI444gssvv5w33pj/iObII49kv/3246GHHuJrX/saRx11FFtvvTW77rorZ5xxBlOnTmXAgAFlp3vvvffSpUsXVl555Yrzv++++7j88suZOnUqv/3tb1moFkHqqKOPUM4BvgN8VChbNSJeBMjvq+TyNYDnC8PNyGVmZnW17LLLst9++3HeeefNV3733Xezzz77ALDvvvvy17/+tarpnX322QwaNIjjjz+eq6++us0Wg7/whS+w4oor0qtXL3bfffeq59NoHZZQJO0CvBIRD1Q7SomyTzQ0JukQSVMkTXn11VcXKkYzs3KOOeYYxo0bV7E14Wqbkj/22GOZOnUqf/nLX9huu+2ARafJ+qKOPELZBthV0jPAVcAwSZcBL0taHSC/v5KHnwH0LYzfB3ih9UQjYmxEDI6IwW0dNpqZtdcKK6zA3nvvPd9DsLbeemuuuuoqAC6//PJ5T2RcZplleOuttxZo+sUm66+99tr5+t16663Mnj2b9957j4kTJ7LNNtsszFepmw5LKBFxUkT0iYh+pIvtt0fE14EbgNF5sNHApPz5BmCUpB6S+gPrAM37aDIzW+Qdd9xx8571DnDeeedxySWXsPHGG/Ob3/yGc889F4BRo0ZxxhlnsMkmm1S8KF90/PHHc8EFF7D11lvPNw+Abbfdln333ZdBgwaxxx57zHvAV7OrS/P1koYCx+dqwysC1wBrAs8Be0XE7Dzc94FvAB8Ax0TETZWm6+brzRYtbr6+9urZfH1dHgEcEZOByfnzLGB4meFOBU6tR0xmZlZbi96dNWZm1hBOKGZmVhNOKGZmVhNOKGZmVhNOKGZmVhNOKGZmBS+99BKjRo1iwIABDBw4kJ122ol//etfCzydSk3aP/744wwdOpRBgwax/vrrc8ghhyxs2E2hLtWGzczaY6MJG9V0etNGT6vYPyL48pe/zOjRo+fdET916lRefvll1l133QWaV6Um7Y866iiOPfZYRo4cmeKaVjmuzsJHKGZm2R133EH37t057LDD5pUNGjSI7bbbjsmTJ7PLLrvMKz/yyCMZP348ACeeeCIDBw5k44035vjjj2+zSfsXX3yRPn36zOveaKOUOMePH8/IkSNLNl1/2WWXMWTIEAYNGsShhx7Khx9+CMDNN9/Mpptuymc/+1mGDy95i1/d+AjFzCybPn06m2222QKNM3v2bK6//noee+wxJPH666+z/PLLs+uuu7LLLruw5557fmKcY489lmHDhrH11luzww47cMABB7D88ssDqen66dOns+SSS7L55puz8847s9RSS3H11Vfzt7/9je7du3P44Ydz+eWX88UvfpGDDz6Yu+66i/79+zN79uyaLIf2ckIxM1sIyy67LD179uSggw5i5513nu8oppwDDjiAESNGcPPNNzNp0iQuuugiHnzwQeDjpuuBeU3Xd+vWjQceeIDNN98cgPfee49VVlmFe+65h+23357+/fsDqUHLRvIpLzOzbIMNNpjXAnBrxebm4eMm57t168Z9993HHnvswcSJE9lxxx2rmlfv3r35xje+waRJk+jWrRvTp08HSjddHxGMHj2aqVOnMnXqVB5//HHGjBlDRDRV0/ZOKGZm2bBhw5g7dy4XX3zxvLL777+fO++8k7XWWotHHnmEuXPn8sYbb3DbbbcB8Pbbb/PGG2+w0047cc455zB16lSgcpP2N998M++//z6QapXNmjWLNdZIzxMs1XT98OHDufbaa3nllfS0j9mzZ/Pss8+y1VZbceedd/L000/PK28kn/JqUrWu3bIg2qoJY7aoksT111/PMcccw2mnnUbPnj3p168f55xzDn379mXvvfdm4403Zp111mGTTTYB4K233mLkyJHMmTOHiJj3LPpRo0Zx8MEHc95553HttdfO92jgW265haOPPpqePXsCcMYZZ7DaaqsBHzdd/+STT7LPPvvMa7r+lFNOYYcdduCjjz6ie/funH/++Wy55ZaMHTuW3XffnY8++ohVVlmFW2+9tZ6LbD51ab6+oyzKzdc7odjiaHFvvn78+PFMmTKFX/ziFzWb5iLXfL0tuGlPP9foEMzMFogTiplZk9h///3Zf//9Gx1Gu/mivJmZ1YQTipk1lc58XbfZ1HtZOqGYWdPo2bMns2bNclKpgYhg1qxZ82qS1YOvoZhZ0+jTpw8zZszg1VdfbXQoi4SePXvO12ZYR3NCMbOm0b1793nNiFjn41NeZmZWE04oZmZWE04oZmZWE04oZmZWE04oZmZWE04oZmZWE04oZmZWE04oZmZWE04oZmZWE20mFElLSeqSP68raVdJ3Ts+NDMz60yqOUK5C+gpaQ3gNuAAYHxHBmVmZp1PNQlFEfEusDvw84j4MjCwY8MyM7POpqqEImkr4GvAH3KZG5U0M7P5VJNQjgFOAq6PiIclrQ3c0bFhmZlZZ9PmkUZE3AncKWmp3P1v4KiODszMzDqXNhNKPt01DlgaWFPSZ4FDI+Lwjg7OmtNGEzZq2LynjZ7WsHmbWWXVnPI6BxgBzAKIiAeB7TsyKDMz63yqurgeEc9LKhZ92NY4knqSqhz3yPO5NiJOlrQCcDXQD3gG2DsiXsvjnAQcmKd/VET8qepv0g795lzRkZOv6JmGzdnMrGNUk1Cel7Q1EJKWIF0/ebSK8eYCwyLi7Xwj5F8l3USqfnxbRJwm6UTgROC7kgYCo4ANgN7AnyWtGxFtJi+rr2lPP9foEMysCVVzyusw4AhgDWAGMCh3VxTJ27mze34FMBKYkMsnALvlzyOBqyJibkQ8DTwJDKnye5iZWYNVU8trJukelAUmqSvwAPBp4PyIuFfSqhHxYp72i5JWyYOvAdxTGH1GLjMzs06gmlpeKwMHk655zBs+Ir7R1rj5dNUgScsD10vasNKsSk2iRDyHAIcArLnmmm2FYGZmdVLNNZRJwF+AP1PFxfhSIuJ1SZOBHYGXJa2ej05WB17Jg80A+hZG6wO8UGJaY4GxAIMHD/5EwjEzs8aoJqEsGRHfXdAJ5yOb93My6QV8HjgduAEYDZyW3yflUW4ArpB0Fumi/DrAfQs6X7Nm5ft3bFFXTUL5vaSdIuKPCzjt1YEJ+TpKF+CaiPi9pLuBayQdCDwH7AWQm3W5BngE+AA4wjW8zMw6j2oSytHA9yTNBd4nXeuIiFi20kgR8RCwSYnyWcDwMuOcCpxaRUxmnY6rW9uirppaXsvUIxAzM+vcyiYUSZ+JiMckbVqqf0T8o+PCMjOzzqbSEcpxpOrC/1eiXwDDOiQiMzPrlMomlIg4OL9/rn7hmJnNz7XjOo9Kp7x2rzRiRFxX+3DMzKyzqnTK60sV+gXghGJNx3uzix7Xjus8Kp3yOkBSF2DPiLimjjGZmVknVLG14Yj4CDiyTrGYmVknVk3z9bdKOl5SX0krtLw6PDIzM+tUqrlTvqVV4eIzUAJYu/bhmJlZZ1XNnfL96xGImZl1bm2e8pK0pKQfSBqbu9eRtEvHh2ZmZp1JNddQLgH+C2ydu2cAp3RYRGZm1ilVk1AGRMTPSC0NExHvUfrpimZmthirJqH8Nz8gKwAkDQDmdmhUZmbW6VRTy+tk4Gagr6TLgW2A/TsyKDMz63yqqeV1q6R/AFuSTnUdHREzOzwys3ZwMx1mjVOpccjWz0F5Mb+vKWlNPw/FzMyKKh2htDwHpScwGHiQdISyMXAvsG3HhmZmZp1J2YvyEfG5/CyUZ4FNI2JwRGxGek78k/UK0MzMOodqanl9JiLmtcsdEdOBQR0XkpmZdUbV1PJ6TNKvgMtIVYe/DjzaoVGZmVmnU01C2R/4JnB07r4LuKCjArKk35wrGjbvZxo2ZzPrzComFEldgd9HxOeBs+sTkpmZdUZtPWDrQ+BdScvVKR4zM+ukqjnlNQeYJulW4J2Wwog4qsOiMjOzTqeahPKH/DIzMyurmoRyNfBpUg2vpyJiTseGZGb1ttGEjRo272mjp7U9kHUKZa+hSOom6Wek559MIFUbfl7SzyR1r1eAZmbWOVQ6QjkDWAboHxFvAUhaFjgzv46uMK6ZteKq4Laoq5RQdgHWjYhoKYiINyV9E3gMJxSzRYZbabZaqFRtOIrJpFD4IflhW2ZmZi0qJZRHJO3XulDS10lHKGZmZvNUOuV1BHCdpG8AD5COSjYHegFfrkNsZmbWiZRNKBHxH2ALScOADUjPQrkpIm6rV3BmZtZ5VPMI4NuB2+sQi5mZdWLVPA/FzMysTU4oZmZWEx2WUCT1lXSHpEclPSzp6Fy+gqRbJT2R3z9VGOckSU9KelzSiI6KzczMaq9S0ytvSXqzxOstSW9WMe0PgOMiYn1gS+AISQOBE4HbImId4LbcTe43ilQBYEfgl/l5LGZm1glUquW1zMJMOCJeBF7Mn9+S9CiwBjASGJoHmwBMBr6by6+KiLnA05KeBIYAdy9MHGZmVh9lE4qkFSqNGBGzq52JpH7AJsC9wKo52RARL0paJQ+2BnBPYbQZuczMzDqBStWGW25mVIl+AaxdzQwkLQ38DjgmtwVWdtAy82k9vUOAQwDWXHPNakIwM7M6qHTKq//CTjw3c/874PKIuC4Xvyxp9Xx0sjrwSi6fAfQtjN4HeKFEXGOBsQCDBw92m2JmZk1igWp5SRog6fuSplcxrIBxwKMRcVah1w3A6Px5NDCpUD5KUg9J/YF1gPsWJD4zM2ucNhOKpNUlHSPpPuBh0lHNV6uY9jbAvsAwSVPzayfgNOALkp4AvpC7iYiHgWuAR4CbgSNyy8ZmZtYJVLoofzApcfQhbegPAiZFxI+rmXBE/JXS15SNCbwAABQDSURBVEUAhpcZ51Tg1Gqmb2aLBz+YrPOodFH+fFKV3X0iYgqAJF+zMDOzkiollN7AXsBZklYlHaX4WfJmZlZS2WsoETEzIi6IiO1Jp6jeAF7JTan8tG4RmplZp1BVLa+ImBERZ0bEZsBuwNyODcvMzDqbNp+H0lpEPA5UdWHezMwWH26+3szMaqJSa8Pb5Pce9QvHzMw6q0pHKOfld7f2a2Zmbap0DeV9SZcAa0g6r3XPiDiq48KyZuYbzcyslEoJZRfg88AwUsvDZmZmZVVqbXgmcJWkRyPiwTrGZGZmnVA11YZnSbqe1NhjAH8Fjo6IGR0amVk7+HScWeNUU234ElLT8r1JT1C8MZeZmZnNU01CWSUiLomID/JrPLByB8dlZmadTDUJ5VVJX5fUNb++Dszq6MDMzKxzqSahfAPYG3gJeBHYM5eZmZnN0+ZF+Yh4Dti1DrGYmVkn5ra8zMysJpxQzMysJpxQzMysJtpMKJJ+UPjslofNzKykSs3Xf0fSVqRaXS3c8rCZmZVUqZbX48BewNqS/gI8Cqwoab381EYzM7N5KiWU14DvAUPza31gBHBiTipbd3h0ZmZNbKMJGzVs3tNGT2vYvMuplFB2BE4GBgBnAQ8C70TEAfUIzMzqx41qts+0p59rdAhNpew1lIj4XkQMJ/3el5GSz8qS/irpxjrFZ2ZmnUQ1zdf/KSLuB+6X9M2I2FbSSh0dmJmZdS5tVhuOiO8UOvfPZTM7KiAzM+ucFujGRj+50czMyvGd8mZmVhNOKGZmVhNOKGZmVhNOKGZmVhNOKGZmVhNOKGZmVhNOKGZmVhNOKGZmVhNOKGZmVhMdllAk/VrSK5KmF8pWkHSrpCfy+6cK/U6S9KSkxyWN6Ki4zMysY3TkEcp4UhP4RScCt0XEOsBtuRtJA4FRwAZ5nF9K6tqBsZmZWY11WEKJiLuA2a2KRwIT8ucJwG6F8qsiYm5EPA08CQzpqNjMzKz26n0NZdWIeBEgv6+Sy9cAni8MNyOXmZlZJ9EsF+VVoixKDigdImmKpCmvvvpqB4dlZmbVquYBW7X0sqTVI+JFSasDr+TyGUDfwnB9gBdKTSAixgJjAQYPHlwy6ZiZ1YMfnTy/eh+h3ACMzp9HA5MK5aMk9ZDUH1gHuK/OsZmZ2ULosCMUSVcCQ4GVJM0ATgZOA66RdCDwHLAXQEQ8LOka4BHgA+CIiPiwo2IzM7Pa67CEEhFfLdNreJnhTwVO7ah4zMysYzXLRXkzM+vknFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmnFDMzKwmmi6hSNpR0uOSnpR0YqPjMTOz6jRVQpHUFTgf+CIwEPiqpIGNjcrMzKrRVAkFGAI8GRH/joj/AlcBIxsck5mZVUER0egY5pG0J7BjRByUu/cFtoiIIwvDHAIckjvXAx6ve6DJSsDMBs27LY6tfRxb+zi29mlkbGtFxMq1nmi3Wk9wIalE2XwZLyLGAmPrE055kqZExOBGx1GKY2sfx9Y+jq19mjm29mq2U14zgL6F7j7ACw2KxczMFkCzJZT7gXUk9Ze0BDAKuKHBMZmZWRWa6pRXRHwg6UjgT0BX4NcR8XCDwyqn4afdKnBs7ePY2sextU8zx9YuTXVR3szMOq9mO+VlZmadlBOKmZnVhBOKmZnVhBNKB5I0RNJykpbO3U2zvB1b+zi29nFstSGp1L16TcMX5TuIpLFAP+BBYHngpxHxtKQuEfGRY3Nsjs2xtUXSocDTwJsRcU8uUzTphrtpM3FnlpuMWSMidgB+QaoC/RtJa0fER43cy3Bsjs2xNX9sOb7fALsAWwAHSzoVICKi0bGV44TSMXqQ2xiLiGeB+4DZwAWSVmnw3oVjc2yOrcljk7QusFxEfAk4FbgZ+Jqk03O8PkJZjNwO7CLp+5I+Q7rj/3zSYXW/RgaGY2svx9Y+jq19lgA2lNQ7n3p7ArgWGJiPrJqSE0qNSBrR8jki/g3sBewAHA3cEBF/Iq0kGzk2x+bYHFslETEduBy4S9LBwK+BqcCVpDYOm1NE+LWQL+AK4DngtFbl3cgVH3L3jcB+js2xOTbHViK+E4HPtyo7CDgQ+Gru3gz4FdC93vFV8/IRykKStCWpheQDgBUknVbsHxEh6VOSLgXejohLHZtjc2yOrVV844HDgGMkfbEQ168iYlxEXJmLfgzMjoj36xlf1Rqd0RaFFzAA6AlsDkzgk3tAvYA9Ct1dHJtjc2yOLc+nO/AzYFtgb+APpAcNwse3dvQC/h8wtjCe6hHfAn2XRgfQWV/ABkD/VmXdSIeklwIn57JRQM96rgSOzbE5tuaPrURM3YFlgdE5qezSapi1C5/rlogX5OUbG9tB0mWkWiAvAB9FxKhCvx7AWqTzoXsCv4+IfRybY3Nsjq1VfIeSrum8HhF3F8qXB3Yn3YPyS2BnYEJETM39m/bGxoZntM72ItUKmZw/9wBuIlXn69lquCmklaClux57Y47NsTm2Jo8tz+di4C/A94HnaVUJgPQ49K8D7wOT6hFTLV6+KL/gngCekbRcRMyNiC+Snnv/25YBJO0ETI+I0bm7S+S1xLE5Nse2eMcmqT+wHjAiIk4lnW47SdIBLcPkOA4Ero6IkXm8prw7fj6Nzmid7UU6TP4d8LlW5bcD3ykxfD0vOjo2x+bYmj+2HsCFwHbk6r/A1sCLwO65uydwfCPiW5iXj1CqIOnbksbkm6KeI62oZ0vaWlLXPNhZpcaNDm5gzrE5NsfW/LHl+D6V5zWXlDz2Jz+GPSL+DhwK7JuPquZExJl5vKZoqLIaTfVM+WYk6RJSzYtHgH2ArhFxhaRlgTOB8ZKmAYcDjzk2x+bYHFuJ+M4BBkh6Grg8In4saRJwoaRvR8QsYDKphtcHxXE7SzIBN19fkaSvAodGxNDcfSywU0R8IXfvBGwKbAy8EhFHOjbH5tgcW6v4LiY1jX8i6c73XhFxTO53JfAu6YhlEPBGRHytnvHVVKPPuTXrC9gPWBr4LB8n3hWA64BlWw3bvfC5w891OjbH5tiaP7Y8nzWAicDyuXsV0lHU4MIwOwGHACcWyprupsVqXr6GUt5upIt3D0b+hYEPSSvEBwCSds3nO9/P3Yr6HJ46Nsfm2Jo8Nkknk55lsg/wrqSeEfEKqQbaEi3DRcQfI2JsRJyWx6tXTbiac0JppXDx7nAgJK2Ty5cgrQSvAt3yoepWEfFGy7gdvRI0c2wFjm0RiU0fPwq3GWNruf7bdLEV3ArsS7pT/78RMSeXv0mq6YWkH0rauDhSnRJxh3BCKe89UqWFrQDyCvFq7jeZdK7zpHoGFBEf5o9vN1NskjYoJLu3miy2vSQt16SxfV/SmrnznSaLrRep6io053+h5cL1e6QmS5omNph3z8jdpAdjrZ3LeuTerwF9JI0jJZuH6h1fh2n0ObdmeZGqE54F/B/psaAAA0l30g7L3V1JD9+5pjBePc4TXwjcwvzngAcC9wPDGxzbr0nP4aZVbM2w3C4DfgOsUCjbIMfW6OX2c2Am8C0+Pvff8ps2ermNzcvtj6QNXjP9pmcA/wt8DxiQyzZuhtjyfPoCSxe6dyfdTFksO4V0If7MQlmnvGbyie/f6ACa4UV6vsC1wOeBceSWPnO/LwFjgBVz9xqFfvX4Ay2RE8qbeePdo9Bv5wbHNg64tlVZy8ax0cttb+CPxbjIzW6Q2khqZGwXAFeT7oS+plW/LwInNzi2a4E188Z710K/XRu83C7KG+etgeOAp4CBzRBbns844M68PSkmi5+SknTLTYwHA9fXO756vBb7U16SvkSqs75nRPyZtAEfKmlfSWuRDpuXzS9I1fvqdrNRRPyX9Cc6CFiO1EJqS/MN04GlGhGbpKGkqpiX5e49JH0b+F6O7U4auNxIv+NzeZ5HkxrZ+5OkIcC9pGXZciqsnsvtcGCliPhKRIwD+koaUxjkKVKtpUb8pl1Jp49OiIjncgy7Sjpf0vqkawLLNSg25di+GekmwLHALOAmpeev/xVYphGx5fl8k3RqayfSWY7Bkq7LvX8IvEQ6kiIiLo6IL9czvnpZrBNKPrf+J9KFvZb67IOBl4FPk6oedgGeBH6da2l8BHW563eVQudSwP9ExB5AD0kvAOdGxLOkP069Y1seuIf0TInPSLoGOCH3XhG4Kn9+qgGxrZY/TgdmSvoCqSbQz0lP4ruCdG3gYWBcnWNbChgfEXsVik8GVtPHd1H/C5hB/ZfbqqS2rj4FHCnpAuB/gBtI/4eWHYTHGhSbSC0H75eLlwH+TDrS+0lEzCbtQNQ1toKngL9FxDsR8Wike2JWlXRZpGufrwEjiiPUsSZc3Sy2d8pL+hXQm7Tn8HtJNwOPA9tFxMw8zJqk87S/VLrjdvk8fD1iW03STNLph7+TzmFD2thsQWqFlIg4K1/sq2dsvUl/oH8AK+VYdo+IF/Iw40nPbjhf0jJ1jm01SS+RjkKGkvYab4iIR4BHJK1IOqV5saSV6xxbb+AVSROBOyPiNdJy3BzYkfS8cCLiXElL1jm21YFHSS3gAqwG/CgibgBuyMtty4i4SNIKDYjtYdJ1xJMl9QWGkU4BXwKcL6lHXm696hVbK+8DwyStHelZ9QDbA39UegLjxcAdkp6LiMugrrXN6maxPEKRdCRpQ7M76SajrYDvAE+2JJOsL6k+O8DpEVGPP1BLbHuS9rK3JzVxPUJSS2LpA6wi6Zg82ml1jm13UpPbfUlHT2e2JJOsL7Bq/tyI5fYEaU/7KdLyWr+lWinponxLq62NWG7TydcAJC0fEU+RzrEfLqlfYbR6x7YHqZLA8qSjzLdJOwst1ufjU4SNiO01YA7p9O91wN4RcW5EvJnj7JdHq8v6luO7RNJvACLiDtLZjsk54ZGPTG4GekfE26S2u+6oR2yNslgmFNKR2Z8j1Qs/l/R0tKWAIyT1kLSspCuApyPiZqjr3kTr2G4i1an/D2kjvlNeUf8nIs5pYGxnk85bzwG+KKmbpJ653v+/I+JPDYztLNLR08Oko7slgUMl3UpqemNsA2M7l1R7qgdpfetFOp30CmlPnAbG9n+ka4YfkC7KnyXpl3m5PRP5OesNjG0a6b+wNalp+h6SbiL9po/XMzZJPyLtrPTK2woi4seka5y3S/q8pDWAHUhHpkTEwxHxn3rE1zAddbW/mV/AJqTqmZ/L3SKdcriQtPd/Cg16dnOZ2HYBTgdWy2UNeVRpheV2EelPcyLwyyaKbWfSc7gHkM65b1EYvp7NlVdabqvksi/UK54q17cfkk6tjqLw8KcmWW4X5vVtV+DUBq1vA0jXW5citWp8ZaHfN/NveyPpmlndf9dGvRoeQMO+eGo751fANoWySaQLuMWquXWv0lchttFNvNx2B5ZowuV2IyWehtcksU0CDmjS2P5AOq1UHK5ZftNJTRJbl/y+Iula59WFfhsASzYyvka8FtdTXgDXkA6hvyVpz1zWFVgu0vMKGlkLo1RsXYBmqBFSbrktE6mKc7MtN5FqL80T+R9eZ+WWW+umypsltiA3D9KiiX7Trnx8Fz/QmNji45pks4AjgA8k/UbSDcC2EfEuLJq1ucpZrJuvl7Q06RznaaSL80TEbg0NKnNs7ePY2sextV9OGJFrgr4KTIyIrzQ6rkZYrBNKi3xfxRKRWgJtqpuNHFv7OLb2cWztJ+lCUpP5++TupoqvHpxQWmnZ22h0HKU4tvZxbO3j2BaMpL4R8Xz+vNglE3BCMTOrqWZMdvXihGJmZjWxONfyMjOzGnJCMTOzmnBCMTOzmnBCsUWepBUlTc2vlyT9J39+W9IvO2B+YwrzmC5p1wUc/yeSPr8Aww+V9PsFj9Ssthbb5utt8ZHvZB4EaWMPvB0RZ3bwbM+OiDOVHkz1F0mrVFONVFLXiPhRB8dm1iF8hGKLreKefT6qmCDpFknPSNpd0s8kTZN0s6TuebjNJN0p6QFJf5K0eqV5RMSjpOZVVpK0g6S7Jf1D0m/zHeDk+f1I0l+BvSSNb2lmRNJwSf/Mcfxa6dk3SNpR0mN5nN07bimZVc8JxexjA0gtFI8kPdr4jojYCHgP2DknlZ8De0bEZqQHPJ1aaYKStiC1wRbAD4DPR8SmwBTg24VB50TEthFxVWHcnsB44Cs5jm7AN3P5xcCXgO1ID8Myazif8jL72E0R8b6kaaQGCG/O5dNID3BaD9gQuFUSeZgXy0zrWElfB94CvkJqCn4g8Lc87hLA3YXhry4xjfVIz+T5V+6eQGqEcHIufwJA0mWkVnnNGsoJxexjcyG1Iivp/cLdzh+R/isCHo6IraqY1tnF6zSSvgTcGhFfLTP8OyXKVKKshe9ItqbjU15m1XscWFnSVgCSukvaoMpx7wG2kfTpPO6SktZtY5zHgH4t4wD7kp7u+BjQX9KAXF4uSZnVlROKWZXy8172BE6X9CAwlfQ42mrGfZX0TPErJT1ESjCfaWOcOcABwG/zabiPgAtz+SHAH/JF+Wfb943MastteZmZWU34CMXMzGrCCcXMzGrCCcXMzGrCCcXMzGrCCcXMzGrCCcXMzGrCCcXMzGrCCcXMzGri/wMNpO3XsaqR/gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "migrated_offline_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'Offline']\n",
    "migrated_genpub_df = migrated_offline_df[migrated_offline_df['MaterialGroup2Description'] == 'General published'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "migrated_notpub_df = migrated_offline_df[migrated_offline_df['MaterialGroup2Description'] == 'Do not publish'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "migrated_custspec_df = migrated_offline_df[migrated_offline_df['MaterialGroup2Description'] == 'Customer-specific published'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins_genpub = []\n",
    "list_of_group_sizes_genpub = []\n",
    "for name, group in migrated_genpub_df:\n",
    "    list_of_date_bins_genpub.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_genpub.append(group.shape[0])\n",
    "\n",
    "list_of_date_bins_notpub = []\n",
    "list_of_group_sizes_notpub = []\n",
    "for name, group in migrated_notpub_df:\n",
    "    list_of_date_bins_notpub.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_notpub.append(group.shape[0])\n",
    "    \n",
    "list_of_date_bins_custspec = []\n",
    "list_of_group_sizes_custspec = []\n",
    "for name, group in migrated_custspec_df:\n",
    "    list_of_date_bins_custspec.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_custspec.append(group.shape[0])\n",
    "\n",
    "list_of_group_sizes_genpub_normed = [x*100 / (float(len(df_orders))) for x in list_of_group_sizes_genpub]\n",
    "list_of_group_sizes_notpub_normed = [x*100 / float(len(df_orders)) for x in list_of_group_sizes_notpub]\n",
    "list_of_group_sizes_custspec_normed = [x*100 / float(len(df_orders)) for x in list_of_group_sizes_custspec]\n",
    "\n",
    "genpub_plus_notpub = [x + y for x, y in zip(list_of_group_sizes_genpub, list_of_group_sizes_notpub)]\n",
    "genpub_plus_notpub_normed = [x + y for x, y in zip(list_of_group_sizes_genpub_normed, list_of_group_sizes_notpub_normed)]\n",
    "\n",
    "plt.bar(list_of_date_bins_genpub, list_of_group_sizes_genpub, label = 'Gen Pub')\n",
    "plt.bar(list_of_date_bins_notpub, list_of_group_sizes_notpub, bottom = list_of_group_sizes_genpub, label = 'Not Pub')\n",
    "plt.bar(list_of_date_bins_custspec, list_of_group_sizes_custspec, bottom = genpub_plus_notpub, label = 'Cust Spec')\n",
    "\n",
    "plt.legend()\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.ylabel(\"# of All Orderlines\")\n",
    "plt.title(\"Breakup of Offline Orders per Month for Migrated Customers\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Average Item Value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Average Item Value for Migrated Customers')"
      ]
     },
     "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": [
    "df_orders['ItemValue'] = df_orders.SalesValue / df_orders.Quantity\n",
    "\n",
    "migrated_offline_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'Offline'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "migrated_webshop_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'Webshop'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "migrated_edi_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'EDI'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "migrated_epdf_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'ePDF'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins_offline = []\n",
    "list_of_group_sizes_offline = []\n",
    "for name, group in migrated_offline_df:\n",
    "    mean_item_value_of_month = group['ItemValue'].mean()\n",
    "    list_of_date_bins_offline.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_offline.append(mean_item_value_of_month)\n",
    "\n",
    "list_of_date_bins_webshop = []\n",
    "list_of_group_sizes_webshop = []\n",
    "for name, group in migrated_webshop_df:\n",
    "    mean_item_value_of_month = group['ItemValue'].mean()\n",
    "    list_of_date_bins_webshop.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_webshop.append(mean_item_value_of_month)\n",
    "    \n",
    "list_of_date_bins_edi = []\n",
    "list_of_group_sizes_edi = []\n",
    "for name, group in migrated_edi_df:\n",
    "    mean_item_value_of_month = group['ItemValue'].mean()\n",
    "    list_of_date_bins_edi.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_edi.append(mean_item_value_of_month)\n",
    "    \n",
    "list_of_date_bins_epdf = []\n",
    "list_of_group_sizes_epdf = []\n",
    "for name, group in migrated_epdf_df:\n",
    "    mean_item_value_of_month = group['ItemValue'].mean()\n",
    "    list_of_date_bins_epdf.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_epdf.append(mean_item_value_of_month)\n",
    "\n",
    "plt.plot(list_of_date_bins_offline, list_of_group_sizes_offline, label = 'Offline')\n",
    "plt.plot(list_of_date_bins_webshop, list_of_group_sizes_webshop, label = 'Webshop')\n",
    "plt.plot(list_of_date_bins_epdf, list_of_group_sizes_epdf, label = 'ePDF')\n",
    "\n",
    "plt.legend()\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.ylabel(\"Average Item Value\")\n",
    "plt.title(\"Average Item Value for Migrated Customers\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## AOLV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'AOLV for Migrated Customers')"
      ]
     },
     "execution_count": 16,
     "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": [
    "migrated_offline_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'Offline'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "migrated_webshop_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'Webshop'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "migrated_edi_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'EDI'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "migrated_epdf_df = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'ePDF'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins_offline = []\n",
    "list_of_group_sizes_offline = []\n",
    "for name, group in migrated_offline_df:\n",
    "    mean_item_value_of_month = group['SalesValue'].mean()\n",
    "    list_of_date_bins_offline.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_offline.append(mean_item_value_of_month)\n",
    "\n",
    "list_of_date_bins_webshop = []\n",
    "list_of_group_sizes_webshop = []\n",
    "for name, group in migrated_webshop_df:\n",
    "    mean_item_value_of_month = group['SalesValue'].mean()\n",
    "    list_of_date_bins_webshop.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_webshop.append(mean_item_value_of_month)\n",
    "    \n",
    "list_of_date_bins_edi = []\n",
    "list_of_group_sizes_edi = []\n",
    "for name, group in migrated_edi_df:\n",
    "    mean_item_value_of_month = group['SalesValue'].mean()\n",
    "    list_of_date_bins_edi.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_edi.append(mean_item_value_of_month)\n",
    "    \n",
    "list_of_date_bins_epdf = []\n",
    "list_of_group_sizes_epdf = []\n",
    "for name, group in migrated_epdf_df:\n",
    "    mean_item_value_of_month = group['SalesValue'].mean()\n",
    "    list_of_date_bins_epdf.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_epdf.append(mean_item_value_of_month)\n",
    "\n",
    "plt.plot(list_of_date_bins_offline, list_of_group_sizes_offline, label = 'Offline')\n",
    "plt.plot(list_of_date_bins_webshop, list_of_group_sizes_webshop, label = 'Webshop')\n",
    "plt.plot(list_of_date_bins_epdf, list_of_group_sizes_epdf, label = 'ePDF')\n",
    "\n",
    "plt.legend()\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.ylabel(\"AOLV\")\n",
    "plt.title(\"AOLV for Migrated Customers\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sales Value by Industry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([-1.,  0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.]),\n",
       " <a list of 10 Text major ticklabel objects>)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAETCAYAAADd6corAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOydeVxUVf/H33dmYGCAGUA090BTXFgGFNxSMc0ljdQ0LcuttGyxzVJbzCyrp8fn95iW+ZhrZUVamuWSaZKapEEuoeFO7ggyDAwwwMyc3x8DE8iOrHrfr9e8hjlzzrnfe5mZ7z3ne87nKwkhkJGRkZGRKYyirg2QkZGRkal/yM5BRkZGRqYYsnOQkZGRkSmG7BxkZGRkZIohOwcZGRkZmWLIzkFGRkZGphiqujagqvj4+AhfX9+6NkNGRkamQREXF5cihGhcXr0G6xx8fX2JjY2tazNkZGRkGhSSJP1dkXrytJKMjIyMTDFk5yAjIyMjUwzZOcjIyMjIFKPBxhxkZG5W8vLyuHDhAmazua5NkWnAuLi40LJlS5ycnKrUXnYOMjL1jAsXLuDh4YGvry+SJNW1OTINECEE165d48KFC/j5+VWpD3laSUamnmE2m2nUqJHsGGSqjCRJNGrU6IZGn7JzkJGph8iOQeZGudHPkOwcZKqNy5e/4bf9g7HZLHVtiswNcOHCBe677z7atWtH27ZtefbZZ8nNzQXg0KFDbNmyxVF37ty5LFiwoNqOPWfOHHbs2FGpNr6+vqSkpFT6WNHR0ezbt6/U9zdt2sR7771X6X5vFmTnIFNtXEn6nszMk2RmHq9rU2SqiBCCkSNHMnz4cE6ePMmJEycwmUy8+uqrQHHncKNYrdYir+fNm8eAAQOqrf+yKMs5WCwWIiMjmTVrVq3YUh+RnYNMtWCz5ZKWZt+xbjQeqmNrZKrKzz//jIuLC5MmTQJAqVTy3//+l5UrV5Kens6cOXOIiopCr9cTFRUFwLFjx4iIiKBNmzYsWrTI0dfnn39OeHg4er2exx9/3OEI3N3dmTNnDt26dSMmJqbI8SdOnMj69esB+4jgjTfeIDQ0lMDAQBISEgC4du0aAwcOJCQkhMcff5yCbJaJiYkEBAQ4+lqwYAFz584FYNGiRXTq1ImgoCDGjh1LYmIiS5cu5b///S96vZ49e/YwceJEXnjhBfr168fMmTNZvXo1Tz/9NADJycncf//9hIWFERYWxq+//grAL7/8gl6vR6/XExISQkZGRrX+P+oSebWSTLVgTD+MzZad//dBWjKuji26OXjz+6Mcu5RerX12aq7ljXs7l/je0aNH6dKlS5EyrVZL69atSUxMZN68ecTGxvLhhx8C9mmlhIQEdu3aRUZGBv7+/kybNo1Tp04RFRXFr7/+ipOTE08++SRr165l/PjxZGZmEhAQwLx588q11cfHhz/++IMlS5awYMECli9fzptvvsmdd97JnDlz2Lx5M8uWLSu3n/fee4+zZ8+iVqtJS0vD09OTJ554And3d2bMmAHAihUrOHHiBDt27ECpVLJ69WpH+2effZbnn3+eO++8k3PnzjFo0CD++usvFixYwEcffUSvXr0wmUy4uLiUa0tDQXYOMtWCwRADSHjqupKeLo8cGipCiBIDmaWVAwwdOhS1Wo1araZJkyYkJSWxc+dO4uLiCAsLAyA7O5smTZoA9tHI/fffXyF7Ro4cCUCXLl349ttvAdi9e7fj76FDh+Ll5VVuP0FBQYwbN47hw4czfPjwUuuNHj0apVJZrHzHjh0cO3bM8To9PZ2MjAx69erFCy+8wLhx4xg5ciQtW7as0Hk1BGTnIFMtGAwxeHh0plGjCE6f+Td5eQacnMr/0sqUTWl3+DVF586d+eabb4qUpaenc/78edq2bUtcXFyxNmq12vG3UqnEYrEghGDChAm8++67xeq7uLiU+ANcEgV9F/RbQEmOSqVSYbPZHK8LL+PcvHkzu3fvZtOmTbz11lscPXq0xOO5ubmVWG6z2YiJicHV1bVI+axZsxg6dChbtmyhe/fu7Nixgw4dOlTo3Oo7csxB5oaxWrMxGg/i5dUDnU4PyHGHhkr//v3Jysri008/BewB4xdffJGJEyei0Wjw8PCo0Lx6//79Wb9+PVevXgUgNTWVv/+ukBhoufTp04e1a9cCsHXrVgwGAwC33XYbV69e5dq1a+Tk5PDDDz8A9h/28+fP069fP95//33S0tIwmUwVPheAgQMHOqbSwB6YBzh9+jSBgYHMnDmTrl27OuIiNwOyc5C5YdKMcQiRh7dXDzw8AgEFRnlqqUEiSRIbNmxg3bp1tGvXjvbt2+Pi4sI777wDQL9+/Th27FiRgHRJdOrUibfffpuBAwcSFBTE3XffzeXLl6vFxjfeeIPdu3cTGhrK9u3bad26NQBOTk6OQPewYcMcd/BWq5WHH36YwMBAQkJCeP755/H09OTee+9lw4YNjoB0WSxatIjY2FiCgoLo1KkTS5cuBWDhwoUEBAQQHByMq6srQ4YMqZZzrA9IBZH+hkbXrl2FnM+hfnDq1PucO7+Cvn0OolRq2H/gXpydvAgJ+bSuTWuQ/PXXX3Ts2LGuzZC5CSjpsyRJUpwQomt5beWRg8wNYzDEoNXqUSo1AOh0eozphxHCWk5LGRmZ+orsHGRuiLy8dNIz4vH26uEo02n1WK0mMjNP16FlMjIyN4LsHGRuiLS0A4ANr8LOQRcK2Pc7yMjINExk5yBzQxgMMSgUascqJQBXV19UKh3p8oolGZkGS4WcgyRJiZIk/SlJ0iFJkmLzy7wlSfpJkqST+c9eherPliTplCRJxyVJGlSovEt+P6ckSVok5S9WliRJLUlSVH75fkmSfKv3NGVqilTDPjx1XVEo/lnrLklSftxBHjnIyDRUKjNy6CeE0BeKcs8Cdgoh2gE7818jSVInYCzQGRgMLJEkqWDHy8fAVKBd/mNwfvmjgEEIcQfwX+BfVT8lmdoiJzeFzMwTeHn1LPaeThtCZuYpLJabR2tGRuZW4kamle4D1uT/vQYYXqj8KyFEjhDiLHAKCJckqRmgFULECPv62U+va1PQ13qgv1TSFkiZekWa4TcAvLx7FHtPqwsBBMb0w7VslcyNolQq0ev1BAcHExoaWqasdVk89thjRSQnyiI6Opphw4ZVqv+KyIVHR0cjSRIrVqxwlB08eBBJksptu3HjxgrZX92y5fWFijoHAWyXJClOkqSp+WW3CSEuA+Q/N8kvbwGcL9T2Qn5Zi/y/ry8v0kYIYQGMQKPKnYpMbZNqiEGpdMfDvbjEg04bDEikG+WppYaGq6srhw4d4vDhw7z77rvMnj27Sv0sX76cTp06VbN1lScwMLDIhr2vvvqK4ODgcttV1DncrFTUOfQSQoQCQ4CnJEnqU0bdku74RRnlZbUp2rEkTZUkKVaSpNjk5OTybJapYQyGGLy8uqFQFJfoUqk8cHO7Q94p3cBJT093CNuZTCb69+/vkND+7rvvAMjMzGTo0KEEBwcTEBDg+CGOiIigYKPqtm3bCA0NJTg4mP79+5d5zLlz5zJ58uQSZcDnz5+Pv78/AwYM4PjxiuUNad26NWazmaSkJIQQbNu2rchO5tOnTzN48GC6dOlC7969SUhIYN++fWzatImXXnoJvV7P6dOn+eSTTwgLCyM4OJj777+frKysMo9bmsx3amoqw4cPJygoiO7du3PkyJEKnUdtUyHhPSHEpfznq5IkbQDCgSRJkpoJIS7nTxldza9+AWhVqHlL4FJ+ecsSygu3uSBJkgrQAakl2LEMWAb2HdIVOkOZGsFsvkR29t+0bPlIqXV02hCuJm8vU9FTphy2zoIrf1Zvn00DYUjpGc6ys7PR6/WYzWYuX77Mzz//DNgF8zZs2IBWqyUlJYXu3bsTGRnJtm3baN68OZs3bwbAaDQW6S85OZkpU6awe/du/Pz8SE0t9tUuRkky4EeOHOGrr77i4MGDWCwWQkNDi8mLl8aoUaNYt24dISEhhIaGFhELnDp1KkuXLqVdu3bs37+fJ598kp9//pnIyEiGDRvGqFGjAPD09GTKlCkAvPbaa6xYsYJnnnmm1GOWJvP9xhtvEBISwsaNG/n5558ZP368Q6upPlGuc5AkyQ1QCCEy8v8eCMwDNgETgPfyn7/Lb7IJ+EKSpP8DmmMPPB8QQlglScqQJKk7sB8YDywu1GYCEAOMAn4WDVXX4xYh1WCfh/YuIRhdgFan59Llr8nOTkSj8ast02RukIJpJYCYmBjGjx9PfHw8QgheeeUVdu/ejUKh4OLFiyQlJREYGMiMGTOYOXMmw4YNo3fv3kX6++233+jTpw9+fvbPgLe3d7k2lCQDvmfPHkaMGIFGY9+JHxkZWeFzeuCBBxgzZgwJCQk8+OCDjjiKyWRi3759jB492lE3JyenxD7i4+N57bXXHMJ9gwYNKrFeAaXJfO/du9ehfHvXXXdx7do1jEYjOp2uwudTG1Rk5HAbsCH/zk8FfCGE2CZJ0u/A15IkPQqcA0YDCCGOSpL0NXAMsABPiX90FKYBqwFXYGv+A2AF8JkkSaewjxjGVsO5ydQgBkMMTk7euLm1K7WOTlug0HpQdg5VpYw7/NqgR48epKSkkJyczJYtW0hOTiYuLg4nJyd8fX0xm820b9+euLg4tmzZwuzZsxk4cCBz5sxx9FGVkWNJMuBQslR3RWjatClOTk789NNPfPDBBw7nYLPZ8PT0rNCd+8SJE9m4cSPBwcGsXr2a6OjoMuuXJvNd0n1vfRxZlxtzEEKcEUIE5z86CyHm55dfE0L0F0K0y39OLdRmvhCirRDCXwixtVB5rBAiIP+9pwtGB0IIsxBitBDiDiFEuBDiTE2crEz1IITAYPgNL6/uSFLpHyE3t3Yole7yfocGTEJCAlarlUaNGmE0GmnSpAlOTk7s2rXLIcF96dIlNBoNDz/8MDNmzOCPP/4o0kePHj345ZdfOHv2LECFppVKok+fPmzYsIHs7GwyMjL4/vvvK9V+3rx5/Otf/yqSS0Kr1eLn58e6desA+2f78GH7CrvrJb0zMjJo1qwZeXl5DsnwsihN5ruw5Hh0dDQ+Pj5otdpKnUttICf7kak02dmJ5ORcKSKZURKSpECnDZZzOzQwCmIOYP+xXLNmDUqlknHjxnHvvffStWtX9Hq9QxL7zz//5KWXXkKhUODk5MTHH39cpL/GjRuzbNkyRo4cic1mo0mTJvz000+Vtis0NJQxY8ag1+u5/fbbi0xfFUhoP/HEE6W279mz5CnQtWvXMm3aNN5++23y8vIYO3YswcHBjB07lilTprBo0SLWr1/PW2+9Rbdu3bj99tsJDAwsNxfEokWLeOqppwgKCsJisdCnTx+WLl3K3LlzmTRpEkFBQWg0GtasWVNmP3WFLNktU2kuXPyC48dfp0f3HeVOF50+838kJn5MRN/DDtVWmbKRJbtlqgtZslumVjGk7kOtboqrq2+5dXXaEMBGenr9XK4nIyNTMrJzkKkUQtgwpP2Gt1fPCgXR5LShMjINE9k5yFQKk+k4eXmGcuMNBTg5eeHq6isHpWVkGhiyc5CpFAZDDABeXt0r3EanC8FoPFjiEj4ZGZn6iewcZCqFwRCDq6svLi7NK9xGpw0hL+8aZvOF8ivLyMjUC2TnIFNhbDYLhrQDRVKCVoR/4g7y1JKMTENBdg4yFSYj40+sVhNe3qVLZpSEm5s/CoWrLMLXQCiQ7C54JCYm3lB/iYmJBAQElFju6urqkAfv2bNnhcX06hM//vij41q5u7vj7++PXq9n/PjxxeqWdi3qI/ImOJkK44g3eHarVDuFQoVWGyTLdzcQCmsr1TRt27Z1HOt///sf77zzTo1tCrNarUV2R1cXgwYNcugsRUREsGDBArp2LXcbQb1HHjnIVJhUQwzu7h1wdq58qg2dVk+G6RhWq7kGLJOpaQ4dOkT37t0JCgpixIgRGAyGMsvj4uIIDg6mR48efPTRRxU6RmF5cKvVyksvvURYWBhBQUH873//A2DMmDFs2bLF0WbixIl88803pdaPjo6mX79+PPTQQwQGBgIwfPhwunTpQufOnVm2bJmjrxUrVtC+fXsiIiKYMmUKTz/9NFC69HZ5/N///R8BAQEEBASwcOFCR7nFYmHChAkEBQUxatQoh/T3vHnzCAsLIyAggKlTpzoWcJw6dYoBAwY4ki+dPn0agPfff5/AwECCg4OZNWtWhWyqDPLIQaZCWK05GI1xtGjxUJXa63QhiHMWMkxH8dRVTGZZBv514F8kpCZUa58dvDswM3xmqe8Xls/w8/Njw4YNjB8/nsWLF9O3b1/mzJnDm2++ycKFC0stnzRpkqP8pZdeKvVYp0+fRq/Xk5GRQVZWFvv37wfsP9Q6nY7ff/+dnJwcevXqxcCBAxk7dixRUVHcc8895ObmsnPnTj7++ONS6wMcOHCA+Ph4hyrsypUr8fb2Jjs7m7CwMO6//35ycnJ46623+OOPP/Dw8OCuu+5yJAQqTXq7LOLi4li1ahX79+9HCEG3bt3o27cvXl5eHD9+nBUrVtCrVy8mT57MkiVLmDFjBk8//bRDsPCRRx7hhx9+4N5772XcuHHMmjWLESNGYDabsdlsbN26lY0bN7J//340Gk2V9arKQnYOMhUiPf0gNltOhfc3XI+2kEKr7BzqN9dPKxmNRtLS0ujbty8AEyZMYPTo0RUuf+SRR9i6dWvxA1F0WikqKoqpU6eybds2tm/fzpEjR1i/fr3DhpMnTzJkyBCmT59OTk4O27Zto0+fPri6upZa39nZmfDwcIdjALvm0YYNGwA4f/48J0+e5MqVK/Tt29chJz569GhOnDgBlC697eHhUeo13Lt3LyNGjMDNzQ2AkSNHsmfPHiIjI2nVqhW9evUC4OGHH2bRokXMmDGDXbt28f7775OVlUVqaiqdO3cmIiKCixcvMmLECMCeU6PApkmTJjnkyysig15ZZOcgUyHs+RsUeHmGV6m9Wt0YF5eWpMs7pStFWXf49ZWqJneKjIxk0qRJjj4WL15cYs6EiIgIfvzxR6KionjwwQfLrB8dHe34gS54vWPHDmJiYtBoNERERGA2m8vcg1Oa9HZZlNXf9ddGkiTMZjNPPvkksbGxtGrVirlz55ZpV20k0JJjDjIVwmCIQasNQqUq/W6pPHRavbxTugGi0+nw8vJiz549AHz22Wf07du31HJPT090Oh179+4FqJC8Ndjvttu2bQvYg7wff/wxeXl5AJw4cYLMzEwAxo4dy6pVq9izZ4/DGZRVvzBGoxEvLy80Gg0JCQn89ttvAISHh/PLL79gMBiwWCyOZDxQuvR2WfTp04eNGzeSlZVFZmYmGzZscKjInjt3jpgY++KOL7/8kjvvvBOz2R6L8/HxwWQyOUZAWq2Wli1bsnHjRsCeiCgrK4uBAweycuVKR7xCnlaSqRMsFhPp6Udo3XrKDfWj04WQdPUHzObLuLg0qybrZGqDNWvW8MQTT5CVlUWbNm1YtWpVmeWrVq1i8uTJaDSaMjOmFcQchBA4OzuzfPlyAB577DESExMJDQ1FCEHjxo0dP5ADBw5k/PjxREZG4uzsXG79wgwePJilS5cSFBSEv78/3bvbd/q3aNGCV155hW7dutG8eXM6derkyMxWmvR2WYSGhjJx4kTCw8Md9oWEhJCYmEjHjh1Zs2YNjz/+OO3atWPatGloNBqmTJlCYGAgvr6+hIWFOfr67LPPePzxx5kzZw5OTk6sW7eOwYMHc+jQIbp27YqzszP33HMP77zzTvn/yEogS3bLlEvKtWgOH36UEP2neHv3qnI/xvTDxMaOJCDgQ25rMqT8BrcosmR33WAymXB3d8disTBixAgmT57smOtvqMiS3TI1isEQgyQ5o9OF3lA/Hu4dUSic5f0OMvWSuXPnotfrCQgIwM/Pj+HDh9e1SXWKPK0kUy4GQww6XQhKZcUDciWhUDjj4REgxx1k6iULFiyoaxPqFfLIQaZM8vLSyMg4Vmk9pdLQaUPIyIjHZsutlv5kZGRqBtk5yJSJwbAfEFXe33A9Wp0emy0Xk6l6N3bJyMhUL7JzkCkTgyEGpVKDVhtULf3Z04bKCq0yMvUd2TnIlEmqIQZPXVcUCudq6c/FpRlqdVM57iAjU8+RnYNMqeTkXCUr61S1TSkVoNXq5ZzS9ZjrJbvfe++9KvfVs2fl5N2rwqZNm27IxutZsGABHTp0ICAggODgYD799NMq9RMdHc2+ffuqza6FCxc6Nr3VBvJqJZlScUh0VzJ/Q3nodCEkJ28jJzcFtbNPtfYtc+NUp2R3df44loTFYiEyMpLIyMhq6W/p0qX89NNPHDhwAK1Wi9FoLHEzXUWIjo7G3d29RAdpsVhQqSr387tw4UIefvhhh55STSM7B5lSSTXEoFLp8HCv3g1ZunwRvnTjQRo3vrta+5apOXx9fZkwYQLff/89eXl5rFu3jg4dOpCcnMxDDz3EtWvXCAsLY9u2bcTFxeHj44O7uzsmk4no6Gjmzp2Lj48P8fHxdOnShc8//xxJkoiLi+OFF17AZDLh4+PD6tWradasGadPn+app54iOTkZjUbDJ598QocOHZg4cSLe3t4cPHiQ0NBQAgMDiY2N5cMPP2TixIlotVpiY2O5cuUK77//PqNGjcJms/H000/zyy+/4Ofnh81mY/LkyYwaNarIOb7zzjvs2rULrVYL2KVDJkyYAMDOnTuZMWMGFouFsLAwPv74Y9RqdYnXxcXFhaVLl6JUKvn8889ZvHgxK1asKGL3mDFjeO6558jOzsbV1ZVVq1bh7++P1Wpl5syZ/Pjjj0iSxJQpUxBCcOnSJfr164ePjw+7du2q8f+37BxkSsVgiMHLqxuSVL0JUjw8ApAkFcb0Q7JzKIcr77xDzl/Vu7JL3bEDTV95pdT3C0t2A8yePZsxY8YAdu2fP/74gyVLlrBgwQKWL1/Om2++yV133cXs2bPZtm1bkRwJhTl48CBHjx6lefPm9OrVi19//ZVu3brxzDPP8N1339G4cWOioqJ49dVXWblyJVOnTmXp0qW0a9eO/fv38+STT/Lzzz8Ddu2kHTt2oFQqWb16dZHjXL58mb1795KQkEBkZCSjRo3i22+/JTExkT///JOrV6/SsWNHJk+eXKRdRkYGGRkZDn2nwpjNZiZOnMjOnTtp374948eP5+OPP+a5554r9bo88cQTuLu7M2PGDMAuQ17Y7vT0dHbv3o1KpWLHjh288sorfPPNNyxbtoyzZ89y8OBBVCoVqampeHt783//93/s2rULH5/aGW3LzkGmRLKzz2M2X6B160ervW+l0gUP907yiqV6SlnTSiNHjgSgS5cufPvtt4BdMK9AAnvw4MGOhD3XEx4eTsuWLQEc6Uc9PT2Jj4/n7rvtNwlWq5VmzZphMpnYt28fo0ePdrTPyclx/D169OhSs7oNHz4chUJBp06dSEpKctg4evRoFAoFTZs2pV+/fsXalaV0evz4cfz8/Gjfvj1glyf/6KOPHM6hpOtSEoXtNhqNTJgwgZMnTyJJkkM0cMeOHTzxxBOOaaeakOOuCBV2DpL99jEWuCiEGCZJkjcQBfgCicADQghDft3ZwKOAFZguhPgxv7wLsBpwBbYAzwohhCRJauBToAtwDRgjhEishvOTqSKOeEM1B6ML0Or0XLq0DpvNgkIh36OURll3+HWBWq0G7EFri8UClC1PXVLbwu2FEHTu3NmhUlpAeno6np6epTqpwjLcZR2nwLaK2KjVanFzc+PMmTO0adOmyHvltS/pupRn9+uvv06/fv3YsGEDiYmJREREOI5V03LcFaEyq5WeBQqnP5oF7BRCtAN25r9GkqROwFigMzAYWCL9My/xMTAVaJf/GJxf/ihgEELcAfwX+FeVzkam2kg1xODs3Bg3zR010r9OG4LNlk1m5oka6V+m9rjzzjv5+uuvAdi+fbsjVWhF8Pf3Jzk52eEc8vLyOHr0KFqtFj8/P9atWwfYfzAPHz58QzZ+88032Gw2kpKSiI6OLrHe7Nmzeeqpp0hPTwfsTmrZsmV06NCBxMRETp06BfwjT14WHh4eZGRklPq+0WikRYsWAEWmxgYOHMjSpUsdTqZAjru8/qqbCjkHSZJaAkOB5YWK7wMKMoGvAYYXKv9KCJEjhDgLnALCJUlqBmiFEDHC7oY/va5NQV/rgf5SfXCdtyhCiPx4Q48au4PR6fIzw6XLS1rrGwUxh4JHefmJ33jjDbZv305oaChbt26lWbNmZWZJK4yzszPr169n5syZBAcHo9frHSuc1q5dy4oVKwgODqZz58589913VT6n+++/n5YtWxIQEMDjjz9Ot27dHJLchZk2bRr9+vVz5HLu27cvGo0GFxcXVq1axejRowkMDEShUPDEE0+Uecx7772XDRs2oNfrHTkvCvPyyy8ze/ZsevXqhdVqdZQ/9thjtG7dmqCgIIKDg/niiy8AmDp1KkOGDClxSqxGEEKU+8D+g90FiAB+yC9Lu66OIf/5Q+DhQuUrgFFAV2BHofLehfqKB1oWeu804FOCHVOxT23Ftm7dWsjUDBmmE2LHzjbi4sWoGjuGzWYTv+wOE0ePzqixYzRUjh07VtcmVAqz2Szy8vKEEELs27dPBAcH17FFJZORkSGEECIlJUW0adNGXL58uY4tqnlK+iwBsaICv/vlTvZKkjQMuCqEiJMkKaIC/qakW01RRnlZbYoWCLEMWAb2fA4VsEWmCtR0vAHsqRF1uhB5p/RNwLlz53jggQew2Ww4OzvzySef1LVJJTJs2DDS0tLIzc3l9ddfp2nTpnVtUr2mIpHAXkCkJEn3AC6AVpKkz4EkSZKaCSEu508ZXc2vfwFoVah9S+BSfnnLEsoLt7kgSZIK0AHVn/dOpkIYDDG4uLTE1bVV+ZVvAJ1WT0rKDvLyDDg5lbzCRcY+uk8x5ZJjsdLC07VeBCsL065dOw4erP9OvrQ4g0zJlBtzEELMFkK0FEL4Yg80/yyEeBjYBEzIrzYBKJgQ3ASMlSRJLUmSH/bA8wEhxGUgQ5Kk7vnxhPHXtSnoa1T+MeSRQR0ghBWDYX+NjhoK0Ff4pCkAACAASURBVOnyRfjSqx5ovNkx51k5nZzJZWM2qZm5JJtyym8kI1MN3MgawveAryVJehQ4B4wGEEIclSTpa+AYYAGeEkIURFum8c9S1q35D7DHJT6TJOkU9hHD2BuwS+YGyMg4hsVixNur5jVxPDwCAQVG40F8GkXU+PEaEkIIkk05JKXnoJSgtbcGY3YeSek5aF2ccHGq3o2JMjLXUynnIISIBqLz/74G9C+l3nxgfgnlsUBACeVm8p2LTN3yT7yhe40fS6Vyw93dn3RZhK8IeVYbp5JNZOda0bk60dzTFSelAne1iswkE+dTs2jbxB1FPZtekrm5kFVZZYpgMMSg0dyBWt2kVo5nD0ofQghbrRyvPpNntfHhzye5mpFDnkXQ2ltDa28NTkr711SlVNDC04XsPCvJGfL0kkzNIjsHGQc2Wy5pxthqSwlaEXRaPVariczMU7V2zPrIX5fTGbHkVxZsP4Grk5L2t7njqXEuFnzWaZzxdHXmanoO2bml78S9EQokuwMCAhg9enSpMtG1IcddGrGxsUyfPr1SbebOnVulPNFpaWksWbKk0u0aOrJzkHGQnn4EqzWrVoLRBWjzM8Ol36Kb4fKsNhbtPEnkh3u5YjTz8bhQvN2cUSlL/2o293RBqZA4b8jGVgPrNgq0leLj43F2dmbp0qVF3i/YsFUTctxlSU8UpmvXrixatKjaj18SZTmHwpvXbjZk5yDjwB5vkPDy6lZrx9Ro/FCpdLekCN/RS0bu+/BX/u+nEwwJaMb25/syJLBZue1USgUtvVwx51m5WsPTS7179+bUqVNER0fTr18/HnroIQIDAwFwd3cH7EtE+/btywMPPED79u2ZNWsWa9euJTw8nMDAQE6fPg3A999/T7du3QgJCWHAgAEOUby5c+cydepUBg4cyPjx4+ndu3cRTaVevXpx5MiRInZFR0czbNgwR/vJkycTERFBmzZtijiN+fPn4+/vz4ABAzh+/LijPCIigtjYWABSUlLw9fUF4OjRo4SHh6PX6wkKCuLkyZPMmjWL06dPo9freemll4pdi9dff50PPvjA0ferr75aa46rJpEVz2QcpBpi8PDohJOTZ60d074ZTn9LbYbLtdj4cNcpluw6hafGmaUPd2FwQMkbsvZ8fYKU86YS38uxWDliFbg6KysVnPZp5U7vB9qXW89isbB161YGD7ZLoB04cID4+Hj8/PyK1T18+DB//fUX3t7etGnThscee4wDBw7wwQcfsHjxYhYuXMidd97Jb7/9hiRJLF++nPfff5///Oc/AMTFxbF3715cXV1Zs2YNq1evZuHChZw4cYKcnByCgsrOYZ6QkMCuXbvIyMjA39+fadOmceTIEb766isOHjyIxWIhNDSULl26lNnP0qVLefbZZxk3bhy5ublYrVbee+894uPjHQ4rOjq6yLVITExk5MiRPPvss9hsNr766isOHDhQ7vWt78jOQQYAqzUbo/EgrVqNr/Vja7UhXLu2G4slA5WqYpo8DZX4i0ZmrDtMwpUMRoS0YM6wTni5VS0/t7NKgdVmJcdiw7Ual7YWzufQu3dvHn30Ufbt20d4eHiJjgEgLCyMZs3so562bdsycOBAAAIDAx2JaS5cuMCYMWO4fPkyubm5RfqKjIzE1dUVsMtav/XWW/z73/9m5cqVTJw4sVybhw4dilqtRq1W06RJE5KSktizZw8jRoxwZE6rSLa4Hj16MH/+fC5cuMDIkSNp165difUKXwtfX18aNWrEwYMHSUpKIiQkhEaNGpV7rPqO7BxkADAa/0CI3FqNNxRg3wwnSE8/grd3r1o/fm2QY7Hy4c+nWBJ9mkZuziwf35UBnW4rt115d/jp2XkkXsukiYeapjrXarG1tHwOFZXJVigUjtcKhcIRR3jmmWd44YUXiIyMdGSGK6lvjUbD3XffzXfffcfXX3/tmP4pi5LkwIFSd5OrVCpsNvsKObPZ7Ch/6KGH6NatG5s3b2bQoEEsX768mHz39faCXSxv9erVXLlypVgSoYaKHHOQAexTSpKkwlPXtdaPrdMGA9JNG3c4ciGNyMW/svjnUwzXt+Cn5/tWyDFUBK2rE94aZ5IzcsiqodVL1UVhieo1a9aUWfexxx5j+vTphIWFVTnZTZ8+fdiwYQPZ2dlkZGTw/fffO97z9fUlLi4OgPXr1zvKC3I5TJ8+ncjISI4cOVIhqewRI0awbds2fv/9dwYNGlQle+sb8shBBrAHo7XaIFQq91o/tkrlgZvbHTdd3CHHYuWDHSf53+4z+Lg7s3JiV+7qUD1OoTDNPF3IyLFwPjWbdk3cUSjq5+a4uXPnMnr0aFq0aEH37t05e/ZsqXW7dOmCVqtl0qRJVT5eQZ5mvV7P7bffTu/evR3vzZgxgwceeIDPPvuMu+66y1EeFRXF559/jpOTE02bNmXOnDl4e3vTq1cvAgICGDJkCEOHDi12LGdnZ/r164enp2epGeoaGlJDlTDq2rWrqMhwU6Z8LJYMftkdiq/vk7Rt83yd2HDsr1kkJ/9En96x9U5YriocOp/GS+sOc/KqiQe6tuTVoZ3QuTpVqO1ff/1Fx44dK3W8DHMeZ1Myaeyhplk1TS/VJZcuXSIiIoKEhAQUivo/wWGz2QgNDWXdunWlxinqgpI+S5IkxQkhyp0iqP9XXabGMaQdAGy1uvntenS6ECyWNLKzE+vMhurAnGfl3a1/MXLJr5hyLKyeFMb7o4Ir7BiqioeLE95u9umlzJz6Pb1UHp9++indunVj/vz5DcIxHDt2jDvuuIP+/fvXK8dwo8jTSjIYDDEoFGrHhrS6QKfNzwxnPIhGU/KKmPpO3N8GXl5/mNPJmTwY3orZ93RE61KzTqEwzXSumMwWLhjq9/RSeYwfP57x42t/1VxV6dSpE2fOnKlrM6qd+u+WZWocgyEGna4LSqW6/Mo1hJvbHSiV7g0ybag5z8r8zccYtXQf5jwbn04O592RQbXqGACUComWXq7kWKxcSTeX30BGpgzkkcMtTm7uNUymBNq2ebFO7ZAkJTptcINTaI1NTOXl9Uc4k5LJuG6tmTWkAx617BQK4+7iRCN3NSmmHLSuTrir5a+4TNWQRw63OIa0/UDNpgStKFqdHlNmAlZryUJv9YnsXCvzvj/G6P/FkGOxsfaxbswfEVinjqGAploXnFUKLhiysNoa5oITmbpHvq24xTGk7kOpdM9PvFO36LQhCGElPf3PWtV3qiz7z1xj5jdHSLyWxSPdb2fmkA716g5dqZBo5aXhdLKJK+lmWng2/NVLMrWPPHK4xUk1xODlGY5CUfc/bjpdflC6nsYdsnItzN10lDHLfsMqBF9O6c5bwwPqlWMowE2twsddzTVTDiZzXqXbz58/n86dOxMUFIRer2f//v03bFNdSnzLVJ7696mWqTXM5ktkZyfSssW4ujYFACcnL1xdfTEa/6hrU4oRc9o+WjiXmsXEnr68PNgfjXP9/vo01bqQUbB66TYVygquXoqJieGHH37gjz/+QK1Wk5KSQm5u7g3bUxMS3zI1hzxyuIUxGH4D6ke8oQCdTk96+iHqy+bMzBwLr2+M58FPfkOSIGpqd+ZGdq73jgFAkb96Kddq47Ixu8LtLl++jI+Pj0OvyMfHh+bNmxMXF0ffvn3p0qULgwYN4vLly4Bd/vr555+nT58+dOzYkd9//90hWvfaa685+i2Q+AZ4//33CQwMJDg4mFmzZgFw6NAhunfvTlBQECNGjMBgMDj6nzlzJuHh4bRv3549e/bc8LWRKZ/6/wmXqTEMhhicnLxxd/eva1Mc6LShXLmyEbP5Iq6uLevUln2nUnj5myNcTMtmci8/Xhrkj6tz7Uoj7Fq9jKt/39ga+lyLjTyrDRcnJUqFRJPb29Bv4tRS6w8cOJB58+bRvn17BgwYwJgxY+jZsyfPPPMM3333HY0bNyYqKopXX32VlStXAnb5iN27d/PBBx9w3333ERcXh7e3N23btuX5558volK6detWNm7cyP79+9FoNKSmpgL2/Q2LFy+mb9++zJkzhzfffJOFCxcCdvnwAwcOsGXLFt5880127NhxQ9dEpnxk53CLIoQg1bAPL6/uSFL9GUD+E3c4WGfOwZRj4d0tf7F2/zn8fNxY93gPuvpWTfytPuCsVGCxCXLybBVybu7u7sTFxbFnzx527drFmDFjeO2114iPj+fuu+8G7BnQCiS64R857MDAQDp37ux4r02bNpw/f76Ic9ixYweTJk1ySGl7e3tjNBpJS0ujb9++AEyYMIHRo0c72owcORKway4lJibewNWQqSiyc7hFyc5OJCfnSr2aUgJwc/NHoXDFaDxI09vurfXj7zmZzKxv/uSSMZspvf14caA/LtWYK6GylHWHXxmyci2cvmrCS+NMS29NufWVSiURERFEREQQGBjIRx99ROfOnYmJiSmxfmGJ7uvlu69P/SmEqLR+VkGfheW4ZWqW+nPLKFOrpBrsX/K61FMqCYVChVYbVOs5pdPNecz+9giPrDiA2knB+id68urQTnXqGKoTjbOKxh5qUrNySc8ue/XS8ePHOXnypOP1oUOH6NixI8nJyQ7nkJeXx9GjR6tky8CBA1m5ciVZWfb9LKmpqeh0Ory8vBzxhM8++8wxipCpG+SRwy2KwRCDWt0UV1ffujalGDqtnnPnV2K15tSKpEf08avM/vZPktLNPN63Dc8PaH/TOIXCNNG6kG62cDEtG42zEpWy5HtDk8nEM888Q1paGiqVijvuuINly5YxdepUpk+fjtFoxGKx8Nxzz9G5c+dK2zF48GAOHTpE165dcXZ25p577uGdd95hzZo1PPHEE2RlZdGmTRtWrVp1o6cscwPIkt23IELY2LO3G40a9aFzp//UtTnFSE7ezpE/p9Gly9d46srO+XsjGLPzmL/5GF/HXuCOJu78e1QQIa29aux4FaUqkt0VxT69lImnxolWFZhekmnY3IhktzxyuAXJzDxJXl5qvYs3FFCgDptuPFRjzmHf6RRe/PowVzNyeDKiLdP7t7spRwvXUzC9dDXDjM7VCW0NS4k3BEzmPLLzbPi4O98UuUSqC9k53IKkGuybkby96ueOVbW6MS4uLWtkp3SuxcZ/fjrOst1n8PNx49tpPQlu5Vntx6nPNNGqSTfnccGQTfsyppdudoQQpJhyuGy0K9hm51lp6eWKQnYQQAWcgyRJLsBuQJ1ff70Q4g1JkryBKMAXSAQeEEIY8tvMBh4FrMB0IcSP+eVdgNWAK7AFeFYIISRJUgOfAl2Aa8AYIURitZ1lIU4mZZBwJQONsxKNswo39XXPt8CXxWCIwdX1dlxcmte1KaWi0+pJM1bvtOHpZBPPfnWQ+IvpPNStNa8N7dggNrNVNwrJrr106qqJS2lmWje69aaXbDbBxbRsDFm56FydcHFSkpRuxmYTtPbWNNhcGNVJRb4ZOcBdQgiTJElOwF5JkrYCI4GdQoj3JEmaBcwCZkqS1AkYC3QGmgM7JElqL4SwAh8DU4HfsDuHwcBW7I7EIIS4Q5KkscC/gDHVeqb57PjrKv/allBmHWeVArcynIdGrSrjfRUatdL+7KxE46zETa1CrVLUiyGrzWbBYNjPbbcNq2tTykSr05N09QfM5su4uDQrv0EZCCH46vfzzPv+GGonBf97pAuDOjetJksbJq7OSppo1SSlm9FlqdBpnOvapFojz2IjMTWT7FwrTbUuNPZQI0kSKoXExbRszl7LxLeRBmUDyEJXk5TrHIQ9Ym3Kf+mU/xDAfUBEfvkaIBqYmV/+lRAiBzgrSdIpIFySpERAK4SIAZAk6VNgOHbncB8wN7+v9cCHkiRJogai5Q91a83dnZqQmWMlM9dCVsFzrpXMnPznwuWF3r9myiIr10pW/uusXGuFj6uQKOo4ynM2+eXuahXd2zTC2616vrwZpqNYraZ6t4T1enS6UADS0w/fkHMwZOYy69sj/Hg0iV53NOL/HtBzm9alusxs0DT2UJOencfFNDNuatVNP2IGuxzK36lZ2GwC30ZuRWIujdzVKBUS51OzOZOciZ+P2y1xTUqjQmNqSZKUQBxwB/CREGK/JEm3CSEuAwghLkuS1CS/egvsI4MCLuSX5eX/fX15QZvz+X1ZJEkyAo2AlCqdVRnoXJ2qLZ+vzSbIzivDyZTjbDJzLFzLzOVcapbjdWautZgGv87ViZcH+/NgWOsbHu4aUu3r1L28ut9QPzWNh3tHFApnjMY/aNJkcJX6+PVUCi98fYjUzFxevacjj97pJ08XFEIhSbTy1nDyqomLadnc3sitrk2qUVIzc7mYlo2TUqJNE/cSFyB4apxRSBLnUrM4ne8gnFW3poOokHPInxLSS5LkCWyQJCmgjOolfftEGeVltSnasSRNxT4tRevWrcu0uTZQKCTc1Crc1CrwqJ4+hRDkWm0OJ5KUbub9bcd5dUM8X8de4O37Aghsqaty/wZDDO5u/jg7+1SPwTWEQuGMh3vnKgWlcy02/rP9OMv2nKGNjxsrJoQR0KLq1+xmxsVJyW0eaq6km0nLysVT48yFCxd46qmnOHbsGDabjWHDhvHvf/8bZ2dnDh06xKVLl7jnnnsAmDt3Lu7u7syYMaNa7Pntt9949tlnycnJIScnhzFjxjB37txS60dHR7NgwQJ++OGHUusIIbhsNJNiysFdraK1t6bMEYHW1Qk/HzcSUzI5k2zCz8cN9S2wku16KuUShRBp2KePBgNJkiQ1A8h/vppf7QLQqlCzlsCl/PKWJZQXaSNJkgrQAaklHH+ZEKKrEKJr48aNK2N6g0GSJNQqJV5uzrT00tDldm++mtqdhWP0XDRkE/nRXl7fGI8xq/Ia/TZbDmnG2Hq7hPV6dLpQMjLisdkqLhd96qqJEUt+5X+7z/BQeGt+eKa37BjKobGHGo2ziktp2eRarIwcOZLhw4dz8uRJTpw4gclk4tVXXwXsu6W3bNlSbce2WotOzU6YMIFly5Zx6NAh4uPjeeCBB26of4vVxtmUTFJMOfi4qys8VeSmVtGmsRs2AaeTM8nOvfUkO8q9SpIkNc4fMSBJkiswAEgANgET8qtNAL7L/3sTMFaSJLUkSX5AO+BA/hRUhiRJ3SV7ZHb8dW0K+hoF/FwT8YaGiiRJDA9pwc4X+zKhhy9r9//NXf+J5pu4C5WStjYaD2GzmRuMc9Dq9NhsOZhMZS8gAPvd4dr9fzNs8R4upWWz7JEuzB8RWOsqqg0RSbJLe1sFrNu0FRcXFyZNmgTYtYz++9//snLlStLT05kzZw5RUVHo9XqioqIAOHbsGBEREbRp04ZFixY5+v38888JDw9Hr9fz+OOPOxyBu7s7c+bMoVu3bsW0mq5eveoQ7VMqlXTq1AmAAwcO0LNnT0JCQujZsyfHjx8vdh6ZmZlMnjyZsLAwQkJCWPfNBk4lmzj8ZzwTh9/NPRE9CA4OLiINUhauziraNnZDkuBMciaZObeWg6jItFIzYE1+3EEBfC2E+EGSpBjga0mSHgXOAaMBhBBHJUn6GjgGWICn8qelAKbxz1LWrfkPgBXAZ/nB61Tsq51krkPn6sTcyM6M6tKS1zbG8+K6w0T9fp63hgfg37T8eS2DIQZQ4OkZXvPGVgM6bb5Cq/EgWm1QqfVSM3OZ+c0RfjqWRO92PvxndDBNbpKgc9r3p8m9lFmtfTo3d8Pz3rZFylyclDTVqvk8/iidg/RF3tNqtbRu3ZrExETmzZtHbGwsH374IWCfVkpISGDXrl1kZGTg7+/PtGnTOHXqFFFRUfz66684OTnx5JNPsnbtWsaPH09mZiYBAQHMmzevmG3PP/88/v7+REREMHjwYCZMmICLiwsdOnRg9+7dqFQqduzYwSuvvMI333xTpO38+fO56667WLlyJecuJ9OnVw/Wb9/Dj+s/48Xnn2PcuHHk5uYWG62UhdpJSdvG7pxNyeRsSiatvTW3zMbBiqxWOgKElFB+DehfSpv5wPwSymOBYvEKIYSZfOciUz4BLXR8O60nUbHn+de2BO5ZtIfJvXx5dkD7MlNWphpi0HoE4OSkrUVrq46LS3PU6qYY0w/RyjGwLMrek/agc1pWHq8N7cjkXnLQuar4uKtxUkhk5VrJs9pwKjT9UpaS6tChQ1Gr1ajVapo0aUJSUhI7d+4kLi6OsLAwALKzs2nSxL5mRalUcv/995fY15w5cxg3bhzbt2/niy++4MsvvyQ6Ohqj0ciECRM4efIkkiSRl1d8WnX79u1s2rSJ997/NxarjdzcHJyyU+lzZy/mz5/PhQsXHEmIKoOzSkHbxm6cTcnk72tZtPJ2xfMWWPp76+0AuklQKCQeDG/NoM5NeX9bAp/sOcumw5d4fVgnhgY2K/ZFtlqzSE8/ROtWj9aRxVVDq9WTbiwelM6xWFnw43E+2XOWO5q4s2pSGJ2b33yxhevv8GsSSZLo2TWY13/YyEVDNrc30iBJEunp6Zw/f562bdsSFxdXrF1hie4CSW0hBBMmTODdd98tVt/FxQWlsvTpvrZt2zJt2jSmTJlC48aNuXbtGq+//jr9+vVjw4YNJCYmEhERUaydEIJFyz/Dp6UfnhpnWnq6olBIBAd2plu3bmzevJlBgwaxfPly7rrrrkpdG5VSQZvGbiRey+JcahZWm6CRe82LQtYlt+YarZsIbzdn3rs/iG+m9aSRm5qnvzjI+JUHOJNsKlIvLe13hLDg5V0/JTNKQ6fTk20+R27uP6uaT13NYMRH+/hkz1ke7t6a75++86Z0DHXBkEEDsebmsPbzzzBk5WG1WnnxxReZOHEiGo0GDw8PMjIyyu2nf//+rF+/nqtX7etUUlNT+fvvv8ttt3nzZkcc7eTJkyiVSjw9PTEajbRoYV/5vnr16mLtci1Wwu7sx7KlS2iqVdPKy5XDh+03FWfOnKFNmzZMnz6dyMhIjhw5UtHLUQSlQoFfIze0Lk5cTMvmaoa5Sv00FGTncJPQ5XYvNj3di7n3duLQuTQGL9zDf7YfJzt/o16qIQZJcqpRldOaQJcvwmc02vNKf/7b3wxbvJcr6WaWj+/K28PloHN1IkkSmzZuYOeW7wgJ6Ei79u1xcXHhnXfeAaBfv34cO3asSEC6JDp16sTbb7/NwIEDCQoK4u6773bknC6Lzz77DH9/f/R6PY888ghr165FqVTy8ssvM3v2bHr16lUsZmC1CU5dzWTK9Bm4qqB/r3ACAwN5/fXXAYiKiiIgIAC9Xk9CQgLjx4+v8vVRKCRaN9LgqXHmitHMZWN2vcl3Xt3Ikt03IVczzLyz+S82HrpESy9X5t7bGW3mVJRKDV1Cv6xr8yqF1Wrml93BNG46iQ8ODGDHXzdf0Pl6alKyu6LkWKycTDLhplbhmz+9VB+5ZsrhUpoZZ5WC2xtpak1ZVwjBpTQz1zJz8HZzpoWna728Rjci2S2PHG5Cmni4sHBsCF9O6Y6rk5LpX+wmPf0oSpdyPw/1DqXSBVTtiEn4hd0nknl9WCfWTAq/aR1DfUGtUtJU50KGOQ9DVsX3mdQWNiG4aMjiYlo27i4q2jZxq1XJdUmSaO7pQhMPF1LzVQ5sDfRGuzRk53AT06NtIzZP783sAdlIkuDVLc58+PNJciwVX8pXl+RYrLz9wzF+OtWYVu5/s+HJbrIERi3SyM0Zd7WKy2lmcuvRZ6ZgY9u1zFwae6jxbaRBVQcieZIk0VTnQjOdK8bsPBJTMotJ3zRkZOdwk+OsUhDe/CySwpXbm4azYPsJhizcw96T1S5bVa2cTMpg+Ef7WL73LC2adMVZmUNrbVJdm3VLUbA5TgAXDPVjbj0718qpqyayc6208tbQTFf30zmNPdS09NKQmWPhbEomFqutTu2pLmTncAtgMMTg5dmVJQ93Y/WkMKxC8PCK/Tz1xR9cMdavFRdCCD6LSWTY4r1cTTezYkJXHr3rXgCM6Qfr1rhbEGeVkmY6F0w5FlIz63Z6yZiVy+lkEwJo09gNr3q018DbzZnW3hqy86ycSckk7yZwELJzuMnJyUkmM/OkQ6I7wr8JPz7Xh+cGtOOnY0n0/080y/ecqRcf5mumHKZ8Gsvr3x2le5tGbH2uN/073oaLSyucnLxJN8rOoS7wLpheMprrZEpSCMEVo5m/U7NwcVJyRxP3epmkSadxxreRhlyLjTPJpno1FVcVZOdwk2OXzKCInpKLk5LnBrTnp+f7EO7nzdub/2LYor38nlhM67DW+OVEMoMW7mH3yRTeuLcTqyaG0cTDHnSWJAmdLrRG0obKlI99ekmDRO1PL1ltgr+vZXE1w4yXxpk2jd2K7Nyub3i42BVdLTbB6eRMzHkN10HU36ssUy0YDDGoVB54eHQu9t7tjdxYOTGMpQ93IcOcx+ilMbz49WFSTDm1Zp85z8q8748xYeUBvN2c2PR0LyaVIIGh0+rJyjpDXl5ardl2qyJJEo888ojjtcVioUWz23jhsQcdOUgqg6+vLykpxWNcmzZt4r333iu1XY7FyulkExlmC811rjWX31kI+6MUFi5cSFZWVoW7syu6uiOwp6bNuk7RtWDPSAE9e9bPjamyc7jJMRh+w9OzG3bdxOJIksTggKbseLEv0yLasunwRe5aEM1nv/1d4ysvTiRlMPyjX1n561km9LidTU/fSYemJes+aXX5Inzy6KHGcXNzIz4+nuzsbAB++uknWrRogZNSgYeLE1eMZnKq4Y44MjKSWbNmlfieyZzHqasm8qw2fH00+OSn8qx2hABDIlz5EzKSwFb8vMpyDqWJ+Lk6KWnb2A2lQuJMciYm8z9aUNc7h3379lXd/hpEdg43MdnZF8g2n8Pbq/w7E42zipmDO7D12d50bq7j9Y3xjFjyK4fPV/+duhCCT2MSuXfxXlJMOayaGMab9wWUuU5d6xEEKErUWZKpfoYMGcLmzZsB+PLLL3nwwQcBaOnpSvyhA7Oi9QAAIABJREFUOHqUIJ9ttVqZMWMGgYGBBAUFsXjxYkd/ixcvJjQ0lMDAQBIS7BLsq1ev5umnnwZg4sSJTJ8+nZ49e+Lr58f/1nyJk0LBHY3dWbp4IWFhYQQFBfHGG2+UaO+2bdsIDQ0lODiY/v3teqCpqakMHz6coKAgunfv7pDNmDt3LpMnT7bLjPvdzqKPPgaVmsyk0wwd2I/gwM4EBAQQFRXFokWLuHTpEv369aNfv35AccnxwiOj2NhYh+5Tnjmbd2dN5/4BPQkN0fPpl1HMmjWL7Oxs9Ho948aNc/QH9u/FSy+9REBAAIGBgY4d6NHR0URERDBq1Cg6dOjAuHHjamVqr/5FdWSqjZLiDeVxRxMPvpjSjU2HL/H25r8YvuRXHgpvzUuD/KtFiTLFlMPL64/wc8JVIvwb8+9RwTT2KF/ATKVyw93d/5YbOWzdupUrV65Ua59NmzZlyJAhZdYZO3Ys8+bNY9iwYRw5coTJkyezZ88enFQKeoQGsXzdZlo18uDw/j0O+exly5Zx9uxZDh48iEqlIjX1nxiWj48Pf/zxB0uWLGHBggUsX7682DH/n73zDo+q2vrwe2YmvfcKSegQSKUqBAHpvSlYEFHEiwWvooAiXOXauxfRT68UERCkCorSQTqk0UmAhCQkpE4mM5mUKfv744TQQnoCevM+Tx7CmX322ZNJzjp7ld9Kz8jgp1+2EX3iFP986lFemvoYO3fsIDExkaNHjyKEYMSIEezbt4+oqKjy87Kzs5k6dSr79u0jKCio/Lrz588nPDycjRs3smvXLiZNmkRcnPz7c+7cOXZv/BFtVjJto8bxj9nv8PvO4/j6ePPrD1+A0hKN2Q4n7wA+/fRTdu/ejbu73D2xMsnxG1mwYAEuzs6cPnWS5Fw9mVm5DB8xmoULF5av40bWr19PXFwc8fHx5OTk0KVLl/L3GRsby+nTp/H19eX+++/nwIED9OzZs9Lr15Um4/A3Rq0+hIWFG3Z2NZMoliSJkWF+9GnnyWfbE1h2MJmtp64ye3A7xkX417oIbc/5LGb+fIKCYgP/Gt6BJ+4LrJGrwMkxjMysLQhhRpKaNr0NSUhICMnJyaxataq8Jeg1JIOeOc89x6WLF7FSKTEaZZfJjh07ePbZZ1Gp5NuKq6tr+TljxowBIDIykvXr1992PbMQ9OgziPxiIz0iw8jNyUKpULBt2za2bdtGeLissaXT6UhMTLzJOBw+fJioqCiCgoJuuu7+/fvLez707duX3NxcNBoNAEMfjMLKqMGqWRs8vbzIzMykU0QXZs6Zy6xPljGsd2d6dQ6G7OLbYhKVSY7fyI4dO/jpp59QKRUEuduhkCBVrb+9/3EZ+/fvZ+LEiSiVSry8vOjduzfHjh3D0dGRrl274u8vN9IMCwsjOTm5yTj8r5NbasTZQomyhv5WIQR56kO4uvSota/W0dqC+cPl5kJvbjzFa2tPsKasuVB7n+r3hCg2mHh/6zmWHkymrZcDK57uVq3mRLfi5BTOlfRVFOovYl9Dg/dXpaon/IZkxIgRzJw5kz179pCbm1t+fN68eQzq/yADvvuR7PQ0Jo8bClTe8+GarPc1Se8b0Zca0RYbkZQWNHeVRe2uuU2EEMyZM4dp06bdcZ13um5FrhdJkqC0ECuVEWxcwdGvfE1t2rQhOjqa3377jTkffsOAPr2Y9/xjYDZA3kVwtAEr+9skx1UqFWaznApeXFx80/WvrUupkAh0tyM1T48QkFlQjOctcZTKXEUVyaI3NE2PX/cgJWYzGzPVPBx3kY4HTjEnIa3Gc+j1lygtzaqXlqDBvk6sffY+PhwbwsVsHcP+s58FW86gLa66j/X5q3LQeenBZCbfF8im5++vlWEAcCxTaG2KOzQOU6ZMYd68eXTq1Omm4xqNhubN/PFztmH1yuXlmkIDBgzgm2++Kb9x3ehWuhMlRhOXsuVOd95OVre5LgcOHMjixYvR6WQJ+itXrpTLgF+jR48e7N27l6SkpJuuGxUVxYoVKwDZb+/u7o6jygglBaC0BudmcMPNOT09HVtbWx577DFmzpxJzMmz4NkeB0dntBo15CZC7sXb3kNgYGB5n4sbu9MNGDCgvGMegCY/n+autlhYWJCWqyVDU3yTQYiKimL16tWYTCays7PZt28fXbveva6NTcbhHuKMroi5iWmEHTjNs2cuc7GomB7O9vyQnstxTc1aRV6LN7jWU/8GhULioS7N2PXKAzzUuRmLDyTR75O9/BKfXuETjxCCZQeTGb6wLOj8ZBf+NSK4TuJotraBqFROaDQxdXkrTVQTf39/ZsyYcdvxa/LZQ/v3wUIhMJkFxQYTTz/9NM2bNyckJITQ0FBWrlx5x7mFEOTrS9EWG7GxUOJgrcJSdfvvxoABA3jkkUfo0aMHnTp1Yty4cbf1k/Dw8ODbb79lzJgxhIaG8vDDDwNy4Pn48eOEhIQwe/Zsln27EPJTQGkJtq5wi2vy5MmT5T2v33nnHebOnQuSgmee/QeDJ/2TPhOeh9JCEGZQXwajnPI9f/58ZsyYQa9evW7aUcydOxe1Wk3Hjh0JDQ1l9+7dSJLEtGemMmFQL6Y+OYk0dVH5+NGjR5f/7Pr27cuHH36It7d3NT6phqFJsvsuozWa2JCpZmVGHnFaPZaSxCAPJx71caOXiz16k5leR8/haqHkj8i2qKrp7z9xcjpa7Snu67G3QVIA41LzmbvxJKeuFHB/KzfeHtmRlh5y1kW2toTX1saz+3w2fdp68NH4UNzrqWtWXPwUiosz6N5ta9WD/6LcC5Ld1cVgMpOYqcNCJdHKw75av2sms5mUvCK0xQZc7SzxdW6g+oUbKdFB7gWwsAG3VqCo5UOKyQiFmaDLlv9v5wb23qCsWV9pIQRZ2hIyC4pxtJbdaQ0hKFkXye6mmMNdQAjBEU0hKzNy2ZyVT5FZ0N7OmgWt/Bjr7YKrxfWPxV6lZEErP54+ncz3V7KZ1syzGvObUasP4+HRv8FEycKaObPpuZ6sOHKZj/44z6DP9zG1VwtC/J2Zu/Ek2mIjb48M5vHuAfW6BkfHcHJz92E0alGpaueeaqL+sFAq8HW2JiVPT7a2pEop9RKDieRcPaVGM37ONo3TarNUD3mXQGUFri1rbxgAlCpw9AM7D9BehcIc0OfJ/7f3BEX1bqmSJOHlaI1SIZGeX0RybiEBbnJdxL1Ck3FoRLJKDKy+msdPGXlcLCrBXqlgnLcrj/i4EeZwZ3XJoR5O9HV14MOkqwz3cMbXuvKUUp3uLEajpl7iDZWhVEhM6hHI4I4+vLf1LIv2yP7Ydt4OrJzanTZe9X/zdnIMAwQFBSdwdb2/3udvouY421pSUGQgU1uCg7XFHTvzaYsNpOTpkZAI8rDD3qoRbj+GYjmYrFDKhkFZT9dUWoJzc9kgFGSALlM2FA5eYOsB1ZQQd7e3QqmQSMsr4lKOjiA3O1T3iDxIk3FoYIxmwa68AlZm5LI9twCTgG5OdrwY4MUwTyfsKmm0fg1JknivjT+9j55j3oUr/LdjUKXj88rrG7rXy3uoCg8HKz59KIwJXZoTl6pmUo/ABmu84uQUBkhoNLFNxuEewtfZBl2mjjS1npae9je5iYQQ5OhKuKopxspCSaCbbYXxhXrHWCq7kgDcWoKqAVRcVdbgGiTvTrTpUJAuu5wcvMHW7aaA951wsbVEKUmk5Om5lF1IkLsdFqq7byCajEMDkaQvYVVGLquv5pFZasTDUsWzzTyZ6ONKK9uadzELsLFiRoAXHyRdZVduAX3d7pxKqlYfwta2BdZWjRvM6hrkStcg16oH1gGVygE7u1b/c8Vw9zoqpQI/Fxsu5xaSrS3Bq8y9ZDYLruQXodaX4mRjgb+LbeO4TkwG2TAIM7i3km/iDYmlrRzLKNHKBkKTCroscPQBa+cqjYSjjQWB7nZczinkYraOIHc7rBqxs11FNBmHekRvMvNrdj4rM3I5lF+IAujn5sijPm70c3PEoo5/FNObe7L2qpo5CWns6doOmwq2n2azgfz8Y3h7j67Tte5lHB3DyMnZUWlefRONj5ONBS62lmQVlOBorUKlUHA5rxB9qQkvR+vb8vobDLNRTjk1GeQdg4Vtw1/zGlYO4N4GijWgzZB1myxswMFXfq2S929vpSLIw47knEIulu0g7uSiawyajEMdEUJwQlfEyvRcNmSpKTCaCbSx5PUWPjzk7Yq3Vc2yGCrDSqHg/Tb+jI+/yH9SMnktyOe2MQXaE5hMheX9G/6OODmGkZHxM0VFydjaVu5ia6JxudYYKCWvCLOQ01wD3Oxwsqm/v4NKMZvk4LOxGFxbgJV941z3RiQJbJzB2gmK8uTAdd5FsLQHR1+wtLvjqbaWsqJrUk4hl3J0BLrZYdcYsZkKaDIOtSTfYGRdppqVGbmc1hVjrZAY5uHMRB9XejjbN1hqXi9XB0Z7OrPwchZjvVxoeYuLSp13Ld7QrUGufy/g5CQXw2k0cU3GoYFQKpU3Fb9NmDDhjgqqN6JSKvBztiE5txBLlYJWnvb07d2rwZVHf/nlF86cPs3sZx6SaxFcAsG6+lX8DYIkyXEHGxcozAXdVchJkI2Gg4+8o6gA6zJF16QcPUk5hQS42eJg3UjG9QaajEMNMAvBwXwdK9Jz+S1HQ4lZEGJvw/tt/Bnt6YyTReP8ON9q5ceO3ALmJKSxOrTlTVt1tfoQ9vYdsLBwaZS13A3s7FqhVNqjKYjDx+fv6z67m9jY2FQoDlcdHG0saOlhj5VKgUqpaHDDYDQaGTF8OCN6doLifHBqJt+Q7xUkBdh7yIV3hdlyZlOxRpbvcPCWU2xvwVKlpEWZiyk5V08zF5t6Eb6sCVWGxCVJaiZJ0m5Jks5KknRakqQZZcddJUnaLklSYtm/LjecM0eSpAuSJJ2XJGngDccjJUk6Wfbal1LZXU2SJCtJklaXHT8iSVJg/b/V2pNeXMpnyVfpfvgs4+IusitPy6M+buzo3IZtXdoy2c+90QwDgKeVBbNb+LBPrWNT1nVJbZOpGE1BzN/apQQgSUocHUOa2obeBQIDA5k/f/5t8tvZ2dn079+fiIgIpk2bRoc2LclXyzIW1ySpK5Oejo6Opnfv3kRGRjJw4EAyMjIAuHjxIoMGDSIyMpJevXqVX2/y5Mm8/PLL9OnTh1mvvcbSrz/l+Vdmg6Mvk5+bWS7/3aJFC9auXQuA2Wxm+vTpBAcHM2zYMIYMGVL+WqOgUMrGwDMY7DyhSA1ZZ0GTJsdHbsFCqSDIww5bCyWpeXryChuvCRdUb+dgBF4RQsRIkuQAREuStB2YDOwUQrwvSdJsYDYwS5KkDsAEIBjwBXZIktRGCGECvgaeAQ4DvwGDgK3AU4BaCNFKkqQJwAfAw/X5RmtKqdnM9twCVqTnsidPixno6WzP7BY+DHZ3qjAY3JhM9nNn9dU85l24Ql83RxxVSjSaGMzm0gavb7gXcHIK5/LlbzCZ9CiVtQg4FuXD1lnQfhi0H17/C6wnEhIWoNWdrdc5Hezb06bNm5WOudZz4Bpz5swpl6WoSH77rbfeom/fvsyZM4fff/+db7/9tsJ5K5Ke7tatGy+88AKbNm3Cw8OD1atX88Ybb7B48WKeeeYZvvnmG1q3bs2RI0eYPn06u3btAiAhIYEdO3agLMxk6fffyYFney8AMjIy2L9/P+fOnWPEiBGMGzeO9evXk5yczMmTJ8nKyqJ9+/ZMmTKlPn6kNUOpAqeyQjrdVXk3oc+VDYa9501FeiqFrOh6OU9PmroIk1ng4dDAmVfXrl3VACFEBpBR9r1WkqSzgB8wEnigbNgyYA8wq+z4T0KIEiBJkqQLQFdJkpIBRyHEIQBJkn4ARiEbh5HAv8rmWgsslCRJEg2k7WE2l6BQVFyZmVBYzMqMXH6+qibXYMTHyoIXA7yY6ONKgE0jVHNWE6Uk8WGbZgyOTuCDSxm808YftfogkqTE2bnL3V5eg+PkGI4QJgoKTuHiUkNxMn0eLB8NGXFwcg2MXARhExtmoX9RKnMrVSS/vX//fjZs2ADAoEGDcHGp2K1TkfS0s7Mzp06don///oDcNMjHxwedTsfBgwcZP358+fklJdefnsePH4+yKEd201g53JSVNGrUKBQKBR06dCAzM7N8jePHj0ehUODt7V3evOeuoSorpLPzlDObrhkKB2+wdS8vpFMoJALcbEnL05OhKcZoFng7Wjd45leNfCFl7p5w4AjgVWY4EEJkSJJ0TdfBD3lncI20smOGsu9vPX7tnNSyuYySJGkAN+D2xrN1JCNjPcmXvyY8fHl5HUCh0cSm7HxWpedxrKAQlQQD3Z2Y6ONGH1eHGstlNxZhjrY84efOkis5POzjSon6MI4OIahUdyFDo5FxdAwFQFMQWzPjoM+DH0ZC9jkYtwSil8DGf8jZLZ2fbKDV1p6qnvDvBhXJb1f3Oa4i6WkhBMHBwRw6dOimsQUFBTg7O9/RSNkpTXJNgbWLHGO44e/0xuvcKP99T2JxrZCuUK62Lrgi10g4+JQJBEooJIlmrrYo8ovI1pagUiiq1SSrLlTbNyJJkj2wDnhJCFFQ2dAKjolKjld2zq1reEaSpOOSJB3Pzs6uaskVYmMbQElJFtHREzmYfZmXz6UQcvA0L59LJd9oZF5LX2LvC+b7jkE86OZ4zxqGa8wJ8sbNUsWr5y6j0Z78n3ApAVhaumJjE1izuENhDiwbDtnnYcIq6DgGHlkDrR6ELS/Bkf9ruAX/zenZsydr1qwBYNu2bajV6mqf27ZtW7Kzs8uNg8Fg4PTp0zg6OhIUFMTPP/8MyDf3+Ph4+SRTqeyKsXIEl+bVqkTu2bMn69atw2w2k5mZyZ49e2r2JhsaSzu5YM+tlSzkp0mB7LOyC7SspsfP2QZfJxtcbBs+e6laxkGSJAtkw7BCCHGtjVOmJEk+Za/7ANdE1tOAZjec7g+klx33r+D4TedIkqQCnIDbxOCFEN8KIToLITp7eHhUZ+m3YbQJJc5nKTNKZjLmlJqNmWqGezizOaI1+7q2Y3pzTzwsGz9trLY4Waj4V0tf4nUl7BT9/meMA8hSGpqCuOo9EeqyZcOQewEe+QlaPygft7CBCSug7VDY+hoc+KJhF/0X4VrM4dpXVWms8+fPZ9u2bURERLB161Z8fHxwcKietpalpSVr165l1qxZhIaGEhYWVp7htGLFCr7//ntCQ0MJDg5m06ZNUFwgq6yqrOSU1Wp2BRw7diz+/v507NiRadOm0a1bN5ycnKp1bqNyrZDOpSxNW50kp8CWaJEkCXcHq8bRXxJCVPqF/FT/A/D5Lcc/AmaXfT8b+LDs+2AgHrACgoBLgLLstWNA97I5twJDyo4/B3xT9v0EYE1V64qMjBS14eNLGcJrV6wYeCRWvLn7BbF9/wCh16fVaq57BbPZLAYf2C6Cdu0XGXrd3V5Oo5Gaulzs2Nmi6s9PmynEwq5CLPAS4uKeiscYS4VYM1mI+Y5C7PlACLO5/hdcTc6cOXPXrl1biouLhcFgEEIIcfDgQREaGtpAF9IKcSVOiMyzQpgMNT5dq9UKIYTIyckRLVq0EBkZGfW9wvrFbBaiMEeIjJNCXIkRIjtRiJLq/41X9LsEHBdV3F+FENWKOdwPPA6clCTpmvPvdeB9YI0kSU8BKcD4MmNzWpKkNcAZ5Eyn54ScqQTwD2ApYFNmHK6J8n8PLC8LXueVGYgGYZKfG0M9nWhnZ0NBwdPExj1BTOxEIsJXYGPTrOoJ7kEkSeIpxY/M4AX+nZTDwg53rsD8O1FeDFcQg42NX8WDtFflHYMmDR79GYJ6VTxOaQFj/ys/je5+BwxF0G9etdwVjYHJbMIojFgp752kiBtJSUnhoYcewmw2Y2lpyXfffVf/FzGUSW8rLWRZjGrKY9/IsGHDyM/Pp7S0lDfffPOuNtOpFtcK6axdQJ8j/z7nJICjv1w70ZCXFvdqkKYK6qvZT4H2FLGxk1Ap7YiIWIGNTfN6WF3jUlqax5/7u7DN+XOWaZqxLqwl97v8/XsdmM1G9u4Lxc93QsWB24J02TAUZMBjayGgGl3xzGb49Z8QvRS6T4eB7za6gbi1QUupqZSUghRKTCX4OfjhbOXcqOu5JzAWQ04iIMkul4ZQWP0rYDbJwWpb1wqL526lLs1+7r4u7F3G0aEjEeHLMZr0RMc8gl5/+W4vqcao848A8M8gP5pZWzI7IY3Ssobnf2cUChWOjiEVK7RqrsDSoaDNhMfXV88wyJPCsM+h27NweBH8+rJsMO4SeoOeS5pLGMwGbFQ2XNFeIa+46t7MfyuMpdd7N7u1+t81DCDXQDj6VMsw1PlSDX6FvwAODsFEhP+I2VxMTOwj6PVJd3tJGEpMZF0uIPF4JoWayisj1epDKJV2eDp14t3WfiTqS/gmtXbZXH81nBzD0WpPYzLd8DPKT4WlQ+TspMc3QPMa9rWQJBj0Ptz/EhxfDL88Lz+xNTIFJQUkFySjkBS0cGpBoFMg9pb2ZOgyyCmq9yzvexOTURatMxvlZj0WjVMA1kSTtlI5Dg7tCQ//kdjYx4mJeZSIiBWNIupWWmxEfVWPOqOQvPRC8q7K/2pzi8vH2LtYMWJGGC7eFccS1OpDODt3QaGwoL+7E0Pcnfgs+SojPZ3vqcK9hsDJKQyRYkCnO42TU4Tc+H3ZMCjSwOMbwT+ydhNLEjz4L7mwas+7cjP50d/UuFdwbckpyiGzMBMbCxuaOzRHVeZfb+bQjCu6K2QWZmIym/C09fz7ypabTbJhMJbIOwbLRpTebqLJONyIg307IsJ/JCb2MaJjHiEi/Efs7FrWy9ylxUbUGXryMgrJyygsNwbavOtGQKGScPGywzvIkQ73++DiY4eFlZIdS8+y/uMYhr8QimfAzUqTxSVX0esv4ed7PYa/oLUfvY5qmZt4hR86Bf19bx7IvR1AVmh1MrnIMYYSLTyxCXzD6za5JMEDs+Qt/I75st973JIGdWsYzUY0JRrMhWYcrRzxs/dDcUOqpkJS4G/vT4Yk7x7Mwoy3nfff7zM2m+Xgs6FILhC7G9Lb/+M0GYdbsLdvS0T4CmJiHyMm9hEiwldgZ9eq2ueXFhnLn/7VZYYgL6MQXd51t4dSpcDZ2xbvlk506OmLq48drr52OLpbo6ggf3nMzAh++SKOjZ/FMvQfIfi1vS5NcF2i+3p9g5+1JTMDvXn7Yjq/52gY7PH3DWBaWXlibe2HJvtPWPuxnNHyxC/gE1p/F+n5ktxJ7PdZsPoxeOiHBnFvFBoKeXXvq4x1GkugTSBetl4V3vQlScLHzgeFpCC3KBezMONr71tvBuJWue6NGzcSGBhY6/mSk5MZNmwYp06dqt4Jwizn9pfqwDlAlriuwbx79uzh448/ZsuWLbVecxNNxqFC7O3bEBmx8qYdhL19m5vGlBQZb7r5q9PLjID6BiNgocDF2xbfVs64+NjJRsDHDkcPGxQ16Arn7GnLmJmR/PJlHJv/E8/AqcEEhcppbGr1IVQqZ+zt2910zlR/D9ZczWNu4hWiXBywa4yevXcJJ6vW5GfvAYMZntgM3p2qPKfGdH9W3kFs+SesehgmrKy0aUtNySzM5Pldz5OoTmSK5xS87SpPsZQkCS9bLxSSgmx9NmbMt+0yaktd5LrrjBCQnwIlBeDkL2fl3OOYTCaU1egF/1ejyTjcATu7VkSEryQm5hGOH38EF8XnaDO9yl1CFRqBNs7lBsDFxw5H95oZgcqwd7FizCsRbF4Yz9b/O0XfSe1o280btfoQLi7dkW65KVgoJD5o48/I2At8ejmTN1v61ss67jmyE3A8tY/MZlD86DKsG8IwXKPzk/IOYtN0+HEcPLpGrmatI+fzzjN953QKDYV81e8r7AqqZ3QkScLT1hOlpORq4VXMwkwzh2b1YiBuJS4ujmeffRa9Xk/Lli1ZvHgxLi4udzweHR3NlClTsLW1pWfPnhXOqdPpGDlyJGq1GoPBwL8XLGBkn0iSE04zeNJL9Ix6gIMHD+Ln58emTZuwsbGp1rwg6zKNHj2a8+fPExUVxaJFi1AoFGzbto358+dTUlJCy5YtWbJkCX/++SdLliwpl//Ys2cPn3zyCZs3b65wvL29PYGBgUyZMoVt27bx/PPPo9Vq+fbbbyktLaVVq1YsX74cW1tbLl68yKOPPorJZGLw4MF8+umn6HQ6AD766CPWrFlDSUkJo0eP5q233qr3z61OVKdS7l78qm2F9J0oLiwV6Rfyxal9aeLP1Qli0+cxYsms/eL/Xlkhtm6OEL//GiIWv/6DWP3OUbF98WlxfGuSuBSfLfKzCoXJ1HjVtCVFBrHxsxixcNpOEb3jkNixs4VITV1+x/EzzlwWfrtjxRmtvtHW2GhknhXiw1Yif2FLsWNnC5GZubVxrntyrRD/chHiu35C6NV1mmpf6j7R9ceuot+afuJc7jkhxM1VrXMTUsWomIQqv4YdPyMGHIkTg46eEKOiKx87NyG10jUpFAoRGhoqQkNDxahRo4QQQnTq1Ens2SNXl7/55ptixowZ1T4+c+ZMERwcfNt1DAaD0Gg0QgghsrOzRcugQGFOixZJ8YeEUqkUsbGxQgghxo8fL5YvX17teXfv3i2srKzExYsXhdFoFA8++KD4+eefRXZ2tujVq5fQ6eQK4/fff1+89dZbwmAwiGbNmpUff/bZZ8Xy5cvvOF4IIQICAsQHH3xQfs2cnJzy79944w3x5ZdfCiGEGDp0qFi5cqUQQoivv/5a2NnZCSGE+OOPP8TUqVOF2WwWJpNJDB06VOzdu7fSz6U2NHSF9N+KkiIjeVd05e6ga7GBQk1p+RiVpQJXHzv827ng6uOPvWc7ruqep+XALwgP/wEHhw53bf2W1iqGPRfKtsWnORO9Dp/O4FyJntKbLX35I0fDnIQ0NoS3+vsELjPPyMFnhRKHcRtRnB2HpiAWT88CI59VAAAgAElEQVRBDX/tjmNBaQU/T4YfRshZUbVwf6w5v4Z3j7xLG5c2LOy3EE9bz6pPugMqhQoJiRJTCcWmYqyUVrX+rG91K2k0GvLz8+nduzcATzzxBOPHj6/28ccff5ytW7fedh0hBK+//jr79u1DgZkrGRlk6szg4EVQUFB5P4nIyEiSk5OrPS/I0uAtWrQAYOLEiezfvx9ra2vOnDnD/fffD0BpaSk9evRApVIxaNAgNm/ezLhx4/j111/58MMP2bt3b4Xjr3GtvwXAqVOnmDt3Lvn5+eh0OgYOlHucHTp0iI0bNwLwyCOPMHPmTEAWJ9y2bRvh4XLShE6nIzExkaioqGp+Sg3P/5xxOLk7jSO/XAJAZaXE1duWZu1dcfG9HhNwcLVGuskdFIC/fhUxsY8SE/s4EeE/4OAQfHfeALIba+DTweze+gkGvTPRvxiIeljcsmYZN0sVc1v68sr5VFZfzWOCj9tdWHE9c/WUfFNWWsITm1G4t8YhNRiNphH95O2HwcRVcoB66VCYtElu1FINzMLMp8c/ZdmZZUT5R/FR1EfYWlScprmgtX+Fx++EtlRLqjYVS4WCAMcALBop9fZGRJmCaFWsWLGC7Oxsov/chkVhBoHdh1Ns6QaSdJu0d1FRUbXnBW4bJ0kSQgj69+/PqlWrbhv/8MMP89VXX+Hq6kqXLl1wcHCodDyAnd1199/kyZPZuHEjoaGhLF26tErFVyEEc+bMYdq0adV6P3eD/7kiuFaRngx9LoTH3+nBM59FMX5OF/pN7kDEgAACO7nj6G5T4U3W1jaAyIiVqJS2xMQ+TkHBybuw+utICgkLp9NYKyM5tTed7UvOYDJVXMk70ceVzo62vH0xnTyDsZFXWs9kxMt1DCprmPwruLcGwNEpHK32JGbz7e0WG4zW/WXJb3UyLBkiy3VUQZGxiFf2vMKyM8uY0HYCX/T54o6GoTY4WDoQ4BiAwWwgqSCJUlNp1SdVgZOTEy4uLvz5558ALF++nN69e9/xuLOzM05OTuzfvx+QjUBFaDQaPF2dsCjMYPfR01xOvVKpVEl15wU4evQoSUlJmM1mVq9eTc+ePenevTsHDhzgwoULAOj1ehISEgB44IEHiImJ4bvvvivfEVQ2/la0Wi0+Pj4YDIab1tW9e3fWrVsHwE8//VR+fODAgSxevLg8/nDlyhWysrK4l/ifMw7OXrayEXCr2AhUho1NcyIiVqFS2RMbN4mCghMNtMqqKSxMwGDIo03oAHqMbknisUy2fnMSQ+ntlbwKSeLDts3QGE28ezHjLqy2nkiPhWUjwNJeNgxu12tQnJzCMZtL0NVzS80qadEbHlsvC6ItGSxn2tyBnKIcnvrjKXam7OS1Lq/xerfXy4vb6hM7CzsCHQMxCzNJmiSKjcVVn1QFy5Yt49VXXyUkJIS4uDjmzZtX6fElS5bw3HPP0aNHD2xsbCqc89GxIzh+9DCdhzzOis27adeuXYXjbqQ68wL06NGD2bNn07FjR4KCghg9ejQeHh4sXbqUiRMnEhISQvfu3ct7UiuVSoYNG8bWrVsZNmwYQKXjb2XBggV069aN/v373/Q+Pv/8cz799FO6du1KRkZGuUT4gAEDeOSRR+jRowedOnVi3LhxaLXaKt9/o1KdwMS9+FXfAemaoNenif0Heos9e0NFfn7sXVlDSsqSm+SqT+1LEwuf3SnWfXRcFBeWVnjOvMQ04bUrVhzLbxhZb0NOjijYuUuYG0LuOu24EO82E+LTjkLkJd/2clHRFbFjZwuRkrqs/q9dHVKPC/FeMyE+DRYi58JtL19UXxQD1w4UnZd3Fjsu76h0qvqS7C4yFIlzuefE2dyzQm+4xxISSnRCpMcJkXmmVtLbfxUKCwvL/x5WrVolRowY0ajXr0tA+n9u51Af2Nj4ERmxEguVC7FxT6CpSTeyeiJPfQgb6+blUtXBvfwY8FQwmUkFbPwsFn3B7e6EVwO98bGyYFZCKkZz/arxmouKSHl6KmnTp5P61NMYMupxh5J6DH4YBTbO8OSv4BJw2xArKx+sLL0oaMy4w434R8o1FqWFsosp+7r74WjGUR7b+hjFxmKWDFpCv+b9GmVJ1iprgpyCUEgKkjXJFBoKG+W6VWIokoX0FCpZFqMBdk/3CtHR0YSFhRESEsKiRYv45JNP7vaSqk2Tcagl1ta+RESswNLSldi4yeRrohvt2kKYyM8/govrzVlKrTt7MXR6CPmZetZ/FE1BTtFNr9urlLzdyo/TumIWX6k/YT4hBBlz36Tk3DlcJj2OPi6OS8NHkL9+A6KukvApR2D5aFnT/snf5IbsFSBJEo5O4XfFUJfjEyqvUZhl4b/M02y6sIlp26fhaePJiqEr6OjesVGXZKm0JMgxCJVCxeWCy2hL77LrwlgiGwZJcb0d5t+YXr16ER8fz4kTJ9i3bx+tWlVfbeFu02Qc6oBsIFZhaelOXNyT5OfXvb9EddBqT2M0aitsCdo82I2RL4VTXGhg/ccx5KXf/LQ4zMOJPq4OfJB0lYySugcrAfIWL6Hg11+x/cc0DCOHEbhhPVbt2pLx+uukTX8OYy37fXP5IPw4Rs4CevI3uWK2EpycwigqTqG09C4qlnq2hye3IhQWfLV2NHMPzCXSO5IfhvyAn/0dGhI1MBZKC4KcgrBSWpGqTUVTorkr68BUKrdpFWY5XtQIstNN1J4m41BHrK28iYxYiZWVJ3HxT6JWH23wa+apb9dTuhHvFk6MfiUCYRas/ySazKSC8tckSeK9Nv6YhGBeYtXZNVWh23+ApP98wbnu4aw/vJs1b7/Ojx+/Te4j43GZ+TKFBw5wadhwCu6Qj35HkvfLVcgOPnLw2bHqCm8nx2ud4eJr81bqjVKX5swJ7cc39laM0pfyddspOFo6Vn3iDdR5x3ULKoWKQMdAbFQ2pGnTUBer63X+KjEZ5R2D2SgbBos7B5ObqB/q+jvUZBzqASsrLyLCV2Jl5UNc/BTU6iMNej21+hB2dq2xsnS/4xg3P3vGvBqJlY2KTZ/HknbueoOYQBsrXgzwYnN2PrtzC+44R1VkHD3Mlvfms7dNMy4biujUdwBDnn8FO2dX9iz7jrUHdpAxbTKG5v5c+efLXHn5ZYzqatyULu2VDYOTf5lh8KnWehwcOiJJqrvqWtKUaHhm+zP8emUvL7Z/grcNNlisGA/JB6o9h7W1Nbm5ufVuIJQKJc0dmmNnYUe6Lp3cotx6nf+O3Ci97dqiXjWpmqgYIQS5ublYW9deIPJ/vk1ofVJSkk1s3OMUFaURGvodrpVULtcWs7mUvfvC8fV9iLZt5lc5vlBTwi9fxJGfpWfg0x1pESYL9pWYzfQ9eh4Tgt1d2mFTgRrsnci8dIHDP6/gQswxlGZBSJ/+dJ04CXuX61XC6QnniP5tE4mHDyApJALcvfE9dBxXK1t83n4bh759Kp784i5YNVG+iUz6pcZ9co8eG1Xe8rWxSS1IZfrO6VzRXeHf9/+bIS2GlPWwHiGnuE5cCS37VjmPwWAgLS2N4uK6p6BWhBACdYmaYmMxDpYOOFjWb0tZYTJh1umQlEokGxukolzZMNi5N+0YGhFra2v8/f2xsLg5rlPdNqFNxqGeKSnNITb2MYqKUgkN+RZX1/vrdX51/jFiYiYQ0ukbPDz6V+uc4kIDv34VT2ZSAX0eb0f7+2QXzZ95WsbHX+TlQC9eC6r66Tzt7CmObFhDcnwMFpKCgKu53D/3X7g/eOd1aLIyif39F07u2kZpURHuZomAy+m07jsA7zdeR+lww43pwg5Y9Yhc2DZpk3wzqSHnE/5FRsY6ekfFIUmNp5QZlxXHi7texIyZL/t8SYRXxPUXddmwfJTcA/mhH6BtI0h8VIHRbGTegXlsvrSZycGTeTny5TpLqwizmfzVq8n6+BPMxcVgMiEpJRz8C3GeNA3bibORFE3OirtNUw/pu4SVpTsR4T9iaxNA/Imp5Obtr9f51XkHAQXOzt2qfY61nQUjZoTj396VXT+cI26HXKjVy9WB0Z7OLLycxUV9xU+pQgiS46L5af4sVv9rNplJF4lo0Z4HTlyg5+NPVWoYAJw8vXhg0lSeWbSU3o8/RYmHG9FBPvxyLoadD48lf+8eeWDCNtkweLSRdwy1MAwgxx1MJj06XcWVrA3B78m/89QfT+Fg6cCKIStuNgwg736e2AxeHWS5jTO/NNra7oRKoeLfPf/NhLYTWHp6KW8ffhtTHVqhllxK4vKkSVx9621sQkNoufU3gl7sjHMLLbpsF1IWLOfiwEHkfPN/GDLvrUrgJiqmaefQQJSW5hEb9zh6/SVCOv0fbm71I6gVHT0Bk7mYrl021vhck9HMjiVnuBCdReTgALqNaEF2qZH7j5wl3NGW1aEty58ehdnMheOHObJhDZmXLmDv5k6X4WMIsrDl6gsv4jhkCL4ff1Tjp02zyUTCkQMcW7OSrIw0LIwm2jg7cp/XnzgGtKq1iN01iopSOHioD23bLsDf75Faz1MdhBAsPrWYz2M+J9wznC/6fIGLtcudTyjWwIrxkHYcRv8fhIxv0PVVByEEX8Z+yX9P/pfBQYN5p+c7WCiqn14qDAZyv19MzqJFSDY2eM2ahVO/rkh/fgLHv4cH5mDu/hLa7dvJ/3kt+qNHQaHAvndvnMeNxT4qCsni753Oeq/R5Fa6BzAY1MTETkKvv0CnTl/j7vZAneYzmfTs3RdB82ZP0qrVrFrNYTYL9q46z5k/0wmO8iNqQhuWpOfwRuIVvukQwAh3R84f3MeRjT+Tm5aCs5cPXUaOo0NUX0xpaSQ/9DAW/v4ErlyBohL5gqoQQpB2Mp5Dn/2b1MIiJKB1h2C6TX4Wz8AWdZr3z/1dcXfrQ4cOH9Z6nqowmA28c/gd1iWuY3DgYBb0XICVshqpmSU6WDVBzsYauRDCH2uwNdaE709+z+cxn9Pbvzcf9/4Ya1XVgcyiU6fJmDuXknPncIjqgvcgP1SZf0Jmme5Y9+kw8N2b9JJKL18mf9168jesx5Sdg9LDHedRo3EeOwbLOnSbqwspBSloS7UEu989Mc3GpMk43AGz2YQkKRpNutpgyCc2dhK6wkRCOn2Fu3vVAck7kZv7J3HxkwkLXVKnnYgQgsObLhHz+2VadfakzxPtGRqbyBVdIc9tWUzxlcu4+Ten2+iHaNujFwqlEpNOR/LDEzDl5RG09mcs/OohZ//MJlg7hYyiYA6ftuWypQKTUkGzDp3oPHwMQWGRtfJRx594Br0+mR7dt9V9jRWgLdUyc+9MDqYfZGqnqTwf/nzNGuyU6mH1o3Lwfegn0OXpBllnTVl9bjXvHHmHLt5d+LLvl9hZVJxVZC4qIvuzj8lbvgqVvQrvLjocPHNBUkLz7tB6gPzldWdpe2E0otu3j/y169Dt3QsmE7ZduuA8fhwOAwagqEOWTXUoMZWw/fJ21ieu59jVY0hIzO46m0faN+xu816gyTjcgRM7/+DIhtUEhXUmKDyS5sGhWDTwL6LBoCE2bhI63Xk6dfoKD/faySdcuPAhKamL6R0Vg1JZdyXP2G0pHFh3FkeXiyQqkvnuwQn0TDnHe8FBtIrsVn5jFmYzaS+8iG7PHpp//z123asf77gjpzfA2qfAvzM8uhazSUnqB+9zcvcOLnu7UawAV19/IoeOon1UHywsq18wlZz8NRcvfUxUr2gsLOq3f3aGLoPpO6eTrElmXo95jG49unYTGUtgzROQsFV+uu7xXL2us7ZsvriZNw+8SbBbMIseXISTVVn/ZiHg6gkKNy8jY/E2DPkmnFsU4nmfJcrg/rJCbcu+ssRJDTFkZqHZuJH8deswpKSgcHDAafgwnMeNw7pD/fZOSVAnsC5hHVsubaGgtAA/ez/Gth7LyZyT7E7dzZMdn+SliJcapJvevUKTcbgDySdiifvjV1JOxmEoKUapUuHXviNBYZEEhXfG1de/QXYVBkMBcXFPoNWdpVPH/1Q70+hGjh0bjUJhRWTkT1UProISvZ64P7ZwdNMGSou0WNkHcGryFH4xKvm9cxtCHK4bn+yFX5GzcCFer8/BddKkOl+bk2th/TPQrCs8+vNNrTZ1+w9wZe5cUkv1pLZrQV6hFhsHR0IHDCFswFDsnCvx6ZeRpz5EbOxjhIUuxs2td93XW8bp3NO8sPMFioxFfPrAp/TwrWOqsrEU1j8t76D6vglRM+tnoXVkV8ouZu6dSaBDc74NGo978iFMp7aTdaCI/Et2WDgr8ZncD7vhk8AnHOopA0mYzeiPHSd/7Vq027YhSkqw7tAB5/HjcBw6FKVjzQoJr1FoKOT3pN9Zl7iOkzknsVBY8GDzBxnTZgxdvbuikBSYzCbeO/oeq8+vZkjQEBbcvwBLpWW9vK97jSbjUAVGg4Er506TFBdNclw0uWlyBo+jh1eZoaj/XYXRqCU2bjJa7Sk6Bn+Jp+fAap9rMBSw789IggKfp0WLGbVeg75AQ+zWX4j9fQsl+kICwyLxD+5PzDYDVr52fNLLhuY2VmyJbI1SktDu2kXa9OdwGjkSn/ffq7vhjF8NG5+F5vfBI6vByv62IaaCAjLffY/8jRvRdWhLaqe2JJ8/g1KppF3PB+g8dBTuzQPveAmjsZC9+8Lq/LO6kT2pe3ht32s4WzmzqN8iWrnUk0aOySj3pD6xGqJegz6vV9rToEERQk63TdzGocSNzDBn4GEysSimlNJj9hgLjbg9NgH3l19rcLePSaNBs2UL+T+vpeTcOSQrKxwHDcR53DhsOneu8vdQCMHJnJOsT1zPb0m/UWQsoqVTS8a2GcuwFsMqTBwQQvD9qe/5IuYLunp35fM+n9d7Dci9QL0ZB0mSFgPDgCwhRMeyY67AaiAQSAYeEkKoy16bAzwFmIAXhRB/lB2PBJYCNsBvwAwhhJAkyQr4AYgEcoGHhRDJVS28vgPSBdlZJMUdJykumpST8eW7Cv8OnQgKiyQwLLJedhWygXgSrfYEwcFf4OU5uFrnZWdv58TJZ4kIX4WLS9caX1enzuP4lg2c2L4VQ0kxrbr0oPuYh/FqId/kUs/m8ds3Jznb2oafgi35oI0/E4o1JD/0MJZBQQT8uLzuN4S4lbBxOgT2lA1DFZWy2p07yZg3H1NBAZZTJpNkb8XpfbswlpYQEBJO56GjCAiNqPAzOXJ0GJaW7oSHLa3bmoEVZ1fw4bEPae/anoX9FuJuU7s02ztiNsGWlyDmB7jvBei/oPEMhKFIrt5O/AMSt8mNiwA8OxDnEszJ1UfofM6I1KYFAe99iE1w4wZthRAUnz5D/rq1FGzeglmnwzIgAKdxY3EeNQqVx81FkpoSDVsubWFd4joS1YnYqGwYGDiQsa3HEuoRWq2/380XNzPvwDyCnINY1G8R3nbeDfX27gr1aRyiAB3www3G4UMgTwjxviRJswEXIcQsSZI6AKuAroAvsANoI4QwSZJ0FJgBHEY2Dl8KIbZKkjQdCBFCPCtJ0gRgtBDi4dsWcgsNma1UvquIlY1F3pVUoGxXEd6ZoLBImgeH1HpXYTRqiYufQkFBPMEdPsPLa2iV55xPeJv09NX0jopBoai+/12TlcmxX9Zxas92zEYT7e6Pouuo8bg3u132+mqShs3/iWfJfbZku1uw8osFOGVdlQPQPtWTsLgjMcvhlxfk5jgTVoFl9WImRrWaq2+9jfb337EODcFl7pucv3CG2N83U5ivxs2/OZHDRtH+/gdQWV53A5w7N5fMrC1E9YpBqqX/2GQ28fHxj/nx7I/0adaH93u9X69d227CbIbfZ8HRb6HrMzDog3pz19xGfopsCBK3y1IlxiJQ2cifTesBiFYPotl1nMwPPsRcXMSGXpZsv9+WbwZ9R1vXtg2zpmpgLiqi4I8/yF+7lqLj0aBUYt/nAZzHjOVcGxvWXtrAjss7KDWXEuwWzJjWYxgSNAR7y9t3p1VxKP0Q/9zzT+wt7Pn6wa9p7dK6Ad7R3aFe3UqSJAUCW24wDueBB4QQGZIk+QB7hBBty3YNCCHeKxv3B/Av5N3FbiFEu7LjE8vOn3ZtjBDikCRJKuAq4CGqWFhjprJqsjJJjo/mUuxxUk7FYywpQWlhgX/7juWBbRcfvxrtKoxGHXHxT1FQEEuHDp/g7TW80vGHjwzGytKT8PBl1Zo/90oqxzat5cyfu5EkBcEP9KPriHE4e1d+k89N1/H9f+P54j5besXHsbh3J2w7V/l7VDnHl8hPxi37wYQVtZJQKPjtN66+9Tbm4mI8X3kZh4cfJuHwfqK3bCA7JRlbJ2fCBgwldMAQbB2dSM9Yy9mzs+je7Q/s7GruAtIb9Mz6cxZ7UvfwWPvHmNl5JkpFA1dcCwHb58HBLyFiEgz7HOrjmiYDpB6RDULCNsgu65bnEgitB8qZRYE9wcKa0tRUMubNQ3/oMDadI/F5ewHpbjB121T0Rj2L+i0izDOs7muqIyWXkshY8yOaDRux1OjJs4eDYdaoRgxkcM/JtHOtuqtcVZzLO8f0HdMpNhbzRd8v6OLdpR5WfvdpaOOQL4RwvuF1tRDCRZKkhcBhIcSPZce/B7YiG4f3hRAPlh3vBcwSQgyTJOkUMEgIkVb22kWgmxCiUt3lu1XnYDQYuHL2tOyCij1OXnoaIFcCB4bVbFdhNBYSf+Jp8vOPE9zhY7y9R1Y4rqQ0h/37u9Gy5WsEBlTekDwr+RJHNqwh4cgBVBaWhPQbSOfhY3Bwq74rJOnDr5hj2Y49oW584+LJqLCqFVEBEtWJ7EjZgbetN/4O/vjb++N5ZjPK316Vb0APLQeL2rumDFlZXJ03H92ePdh26YLPe+9i4edHyql4on/dSFLscVQWlrSP6kPwgxGcS55E+3bv4+tbs2KzbH02z+96nnN555jVZVbjpjcKAXveg70fQMjDMHIRKGvRDEeXJe8MErfBxd1QogGFBQTcB23KDIJbq3L3lTCZyPthOdlffIGkVOL56kycH3qoPGMtXZfO1G1TyS7K5su+X9Ldp3t9vutqYzKbOJB+gHUJ69ibtheMRsbntGDgSSV20QlgNmPbvTvO48bh0P9BFFZ1kwVP16Xzjx3/IFWbyrs932VQ0N2XPqkrd8s4fAUcusU4/AakAO/dYhxeE0IMlyTpNDDwFuPQVQhxm2SkJEnPAM8ANG/ePPLy5ctVrr2h0WRlkhQXTVJc7XYVJpOeuPinyc8/Rof2H+Ljc3tqZGbmFk6dnkGXzhtwdAypcJ70hLMc2bCGSzHHsLSxJWzgUCKHjMTWqWaphQV/bOPKjBmIcY8x7v4hKErN/OznT/vOXpWet+PyDl7f/zpFxpsbDKmEwE+ywt8nEn/H5vjb+8uGo8x41HTLL4RAs34Dme++C0LgOWsWzg+NR5IkctNSifltE2f27cJoKCHkqUs420fRucc31d7VJaoTeW7nc+SX5PNR1Ef0blZ/2U414s9PYOfb0GEUjP1v1U1xzGa5x3biNjl+kF6mTOvgI6eZth4ALR64KTPsGsXnz5Mx902KT57Evk8fvOfPw8L7dj97TlEOU7dN5XLBZT7p/Ql9mt9BPLEBSNels+HCBjYkbiBTn4mrtSsjW45kdOvRBDkFAWC4ehXNhg3kr12H4coVFE5OOA0fjvP4cVi3rb07TFOi4cVdLxKTFcPMzjN5IviJ+npbd4Umt9JdwFhaStq50yTHHScpNvr6rsLLW86ACutMs+BOWFjd/PRsMhURf2IqavVhOrT/AB+fsTe9fvbc62Rl/UavnsdR3NBSUQhByql4jmxYQ+rpE1g7OBI5eARhg4ZhbVdzP2txQgLJEyZi3bo1zZf/wO/ZOqYkpND3hJ65kYF06Hn7DkIIwXcnv+M/sf8hxD2ETx74BKPZSNrRRaTFLSXVsx1p/qGkFaaTpk2joPRmiXBnK2f87f1p5tDsJqPh7+CPl63XHV05hvR00t94A/2hw9j17InPO//Gwks2YPoCDfHbfiO7+GMUVkXkHe1L5LDRtL0vClWZVENpaSnx8fEoFAo8PDzw9PQkJi+GV/a8go3KhoX9FtLBrX5z7GvMoUXwxxxoOwTGL729OU5RvlxIdy1+oM+RO6z5dykzCAPBu9Mdg9vm0lJyvv6a3O/+i9LREe+5b+AweHClhlRTouEfO/7BmdwzvNPzHYa2qDpeVlsMJgO7U3ezPnE9B9MPAnCf732MbTOWB/wfwOIOBlOYzeiPHCH/57Vot29HGAxYd+qE87hxOA4dgtK+5n8bJaYS5vw5h+2Xt/NY+8d4tcurf9laiIY2Dh8BuTcEpF2FEK9JkhQMrOR6QHon0LosIH0MeAE4gryb+I8Q4jdJkp4DOt0QkB4jhHioqjXdi8bhVjRZV0mKLdtVnD5x066iRXhnAsM64+LjiyRJmExFnDgxjTz1Qdq3e+8mV8jBQ32ws2tDaMj/AfIN+VLMUY6sX0PGhfPYubjSedhoQh4chKV17SQtTPn5JI1/CHNxEUFr12Hh5QnAE/GX2J1TwLRf8xk8KIiIAdcD2cXGYuYfnM9vSb8xtMVQ3rrvLVlC4uB/YNtcaD8Cxi2+6alXU6Lhiu4Kado00nRp8r9l32foMjAKY/lYlUKFr53vTQbjxu/tVXaof/qJrI8+RrKwwHvuGzgOH15+c7tw4TMup3xF2h99yUlOx87FlbABQ1H6BbBv/wG02ptbZhYpizDaGrm/zf0E+gXi4eGBh4dHnTTx68yx/8Kvr8jxmod/lLOJEv+QjUHKYRAmsHGBVg/KxqBVv2ppU+ljYsiY+yally7hNHIknrNnoXKpuoYE5LqBF3a9wPGrx5nbfS4Pta3yz7VGJGmSWJ+4nl8u/kJecR5etl6Mbj2a0a1G42tfPRfnNYxqNQWbN8spsYmJSDY2OA4ahPP4cdiEh9coTmgWZj469hE/nv2R/gH9ea/Xe9WTTLnHqM9spVXAA4A7kAnMBzYCa4DmyGm/Y/YAACAASURBVC6j8UKIvLLxbwBTACPwkhBia9nxzlxPZd0KvFCWymoNLAfCgTxgghDiUlUL/ysYhxsxlpaSdvZUmQsqGvWtu4rwzvi2bc3ZhJfIy/uTdu3exc/3YYqKrnDwUBStW8/F328SCYcPcHTDGrJTknH08KLryLEE937wpkydmiJMJlKfmUbh0aME/LAM2/Dw8tfSikvpdeQs7bQwbEsuEQMD6D6qBbnFuczYNYMTOSd4MfxFnu70tPyHtv8z2PGv6rtDbvwZmY1k6jNvMhip2tTy729tb+lk5YS/vT8dilx5cPlZXBKuYugVicubs/Hxb4dGfahMbuQHtKnW7N28kcu6Ysw2dthbqBg4aBC+QUEsPryYw4mHaaVqRYAigLzcPIzG60bK0dERT0/P8h3GNaNhVUd/drWJ/RE2PS8H8g16+Zh3p+vBZP/O1Q5cm3SFZH/6KepVq7Dw8cH7rbew79WzxksqNhbzyt5X2Je2j39G/pMpHafUeI4bKTIWsePyDtYmrCUmKwaVpKJ3s96MbT2W+3zvq3MygBCC4pMnyf95LQW//opZr8cyKAjnceNwGjUSlZtbtedadnoZHx//mAjPCL7s++X1KvK/CE1FcPc4+ZlXSYo7TnJcNCmnTmAslXcVzf6/vfOOj6LM//j72d3sZtM2vZEChNCbIlUsKCB6VoqeXc92YsFy99M7G5ZTuTtFT0HsXU8BPbFiQ5AmKEVaIJSQ3nvdMs/vj5mETQMSEnaXzPv1mldmZmd2PjzMzme+T/k+QwYTecoWnMY0Bg54AmHwY9eu+wjnITYvW0dZXg7h8QmMuXgWA089A6OpE42VLSj8978pee11Yh9/jLBZrRtvF2QW8vi+XP5Sasb6XT7xowNYEPwQlY4Knpr4FGcnn62O9v1+LqxfAENnwCWvdK4h9TBU2ivJqcppFXFkV2WTV5nDtA0OLlupUG+G18/1o2h0HLfb9pKhjKT4wBjqcurwt5qJNQnKNv2C4nJhj7KQFlRAvxGj+cvFj2H1D0JRFMrKyigqKqKoqIjCwsKmdZfrUFprm83WzDAa/5qPwajbZdfnsOsLtUE5dcpRTZvakuqVK8mb+yjO/HzCrr6K6DlzMAR2flY2h+LggZ8f4OuMr7lp2E3ccdIdHR4HlFaaxtI9S/ly/5dUOapICk5ieup0Lup3UdePJ9FQamqo/EbrErt5M5hMhEydSuTtt2Pp2+eovuPrA1/zwOoHSAxOZNHkRcQFHWNX7+OIbg4+hNNuJ3vntqaoorwwi95TsrEl1yAdISiuOra9nUJU7xTGXXIp/caMx9BF3SorvvyS3Hv/QugfLyNu7tw2j3Eokim/7qbK6eLOfflUrxHkRO/iqtvPYnD0IHVu4CV/grwtMPommPZ0lxvDkXAqTgprC8nd9guGf7yIdW8uu8clwaV52GtC+X3n6aSFprE3ZC8ug4soxUa/rEBCc13EVFhBkRhNJuL7DyJp6AiSho0gNqU/BuOhcm40jUazaPxbXFzczDRCQ0NbmUZkZGT3mMZR4CwtpeDJp6j84gvM/VKIe/zxZtHhseBSXDy+/nGWpi/l8oGXc/+Y+49YF19tr+arA1+xNH0pO0t2YjaYmdJ7CjNSZ3BKzJFHP3clDXv3Ur54CeWLF6M0NBA6fTqRt9/W1H51ODbmb2TOj3PwN/nz0uSXPDoGpCPo5uDDlOfnsX/Legpr5uMXlkN9QQKDBv6bPiO79odTv2sXGZdfgf/gwSS/9SbiMA+v9WVVXLxlH9bKL5hx0ECfneNIHBTGuRPS8Pv2XrX66KIFMOj8LtPXWZz19fz04otsKCkheehvREflMmTUt1SKymYRR0FtARelXMTp0RPITttB5vbfydy+laIMtVbTbLWSMGgoSUNHkjRsBJGJyW2Wv8vlaoo03I2jpKSkmWmEhYU1VUm5V0+1nMaxq5BSUvnFFxQ8+RSu6moib76ZiFtuxtDFJiWl5Jlfn+HtnW9zYcqFPDrhUUwGU6tjthZtZWn6UpZnLKfOWUdqWCozUtV0Fp6umnGWlFD88suUffhfhMFA+NVXEXHjjRhDD9/bL70snVu/v5VqRzXzz5x/7Pm2jgO6OZwAKEoDBzIWEh11DsHBXdtzxllWRsbMWUinkz5LFrdKQ+BOvbOeh9c+zMcVvWgIOo3lo1Lw21zCig/3E+O3hz8M/x7/S/8DtoQu1dhRpJTs3r2b7777jpKSEpKjoxlQsIS6Mw7Sb/0FJNz5xFH1VKmtrCBrxzYyt28hc/tWyvPzAAiwhZI4ZLgaWQwdQWjM4dMquFwuSktL2zQNRVGajgsLC2tVNRUZGXlMpuHIzSXv0UepWbkK/xHDiX/iCSyp3TfKV0rJy7+/zIItC5icNJl5p8/DbDRTVl/G5/s+55P0T9hXsY8AUwDn9jmXGakzGBo59LhGCUeDPTuH4hdeoGLZMgxBQUTceCPh11x92LlL8mvymf3DbA6UH+CxUx/jgpTDD2j1NLo56LSLdDrJvPEm6jZtIvn997AOG9busUW1RcxZMYdtxdu4ceS9LKocxQCTk083XMeB/FiWV/yV0NhgLpwzkkCb53pu5OXlsXz5cjIyMoiMjGTq1KmkpqZSVb6DjZsvIvRtP0Ky4ol/8kkCx3VsAFdlcSGZ27aSuV1dasrLADWdSmMVVNKQ4UeVMRYOmUbL6il30xBCNDONqKgoYmJiiIqKwnCYtBpSUSj78EOKnnkWKSXRd80h7KqrEMbjM5/2ezvfY97GeYyNG0uYJYwfMn/AoTgYHjmcGf1ncE7vc9qdJ8KbqN+zh6L5z1G9YgWmqCgib5tN6IwZ7c5aV2Wv4q4Vd7EhfwNzTp7DDUNv8Drja0Q3B512KXjqaUrffpu4J58kdHr78xHsLNnJHT/eQZW9iqdOe4qzEybx/urF3OsawHOZL/PHSdeSXdufr17ahjXYjwvnjMQW1U25h9qhsrKSFStWsHnzZqxWK5MmTWLUqFEYtYehlC5WrjqZKNNE/B/fjz0jg7CrriL63ns6NZOdlJLSnKwmo8jasY2G2hoAIhOTm8wiYdAwLAEdKwun09muaTT+Tv38/IiPj6dXr15Ni81mQwhBw/795D34EHWbNhE4YQKxjz2KOeH4R3Ofpn/K3HVzCfIL4oKUC5ieOp3+Yf2Pu46uoHbTJgqfeZa6337DLzmJ6DlzCJ42rc1JqOwuOw+ueZCvD3zNZQMu429j/tb9KVc6gW4OOm1S8dln5N53P2FXXUXsgw+0e9x3B7/j7z//nVD/UF4860UG+Nng01tQ9q/kwgkfsN+awJpxgwnzM1GQUckXL2zFYBRcOGckEb06Psioo9jtdtauXcuaNWtwuVyMGzeO0047DWsbD/xNm6/G6azglKEfUTh/PmXvvIs5OZm4p54i4ORja5hVFBeF+/dxUDOL3LSdOB12hMFAbEqq2l4xdATx/Qd2urux0+mkpKSE/Px8cnJyyMnJIT8/v6k9IzAwkCiHg+DNm4morWXgddcTM3OGR99cc6pziLRG+uQ4gJZIKaleuZKiZ+fTsGcP/oMHE3XPPQSeOqFVGStS4bnfnuPNHW9yVuJZzDt93lFNuXo80c1BpxV127Zz8MorsY4YQdIbr7cZIrvXHY+IGsFzk54jMmuTOgeDvRbOfZod/S9l6m97uCIugn8NSASgNK+GZc9vwV7nZNS5yYw4OxGTX9e/NSmKwu+//84PP/xAVVUVgwcPZvLkyYSHtz/wa9++ZziY+TJnnL4Vo9FKzfpfyPv733Hk52NJ6YspKuqwS0e6ezrtdnL3pGmRxRby96UjFQWTn5n4AYd6QsX07XdMPc6cTicFBQVkbNzI/h9+oMhkojIkpGk0dHh4eLPoIjY2ttsavnsK0uWi8ssvKXr+PzhycggYO5boe+7GOmJEq2Pf3/U+8zbMY3jUcF4464U254/wFLo56DTDWVLCgRkzwSDos2QJpjYepvXOeh5e8zBfZ3zNBX0v4JEx92NZ8RSsXwjRQ9TRztFqtstH0nN4ObuIL09OZZRNfXhWldbz80d7OLC1mOAIfyZM70fKyVFd9gabkZHB8uXLycvLIz4+nnPOOYfk5Napx1tSXLyCrb/f2GwuDFd1DSWvv4Z9716chUU4i9RFOhytzjcEBGCKjm5uGtFtmEhISKt/a0NtLdm7tjdVQxVnZgBgCQgkYfAwkoaOIHnYCMJ7JXZstG5tLUX/eYHSd97BFBlJ7NxH8Jswgdzc3KboIicnp2kUuMFgICYmpplhREZGHrb9QqdtFLud8o8+pvill3CVlhI8ZQpRd83BkpLS7LjvDn7H/avuJz4onoWTF5IYnOghxc3RzUGnCelwkHn9n6jbto3kD95vc8KWwtpC5vw4hx0lO7jz5Du5IfZ0xNI/Qf42dX6BKY83y6ha7XRx2oY0wv2MLB81AJPh0IMtO62U1Yv3UpJTTVw/GxNnpRKd3LkpHgFKSkr47rvvSEtLIyQkhMmTJzN06NCjfrDZ7aX8vHo0/VL+j+TDZLWVUqJUVOAoLGwyi7aXYmRtbavzhcWCKTKyDROJbjKTBouZ3JxMsnao3WYrCgsACAwLJ8mtJ1RIVHS7OmvWrSPvoYdxZGcTetllRP/lXozBbc9YVllZ2cwscnNzaWhoAMBsNrdqvwhpw+B02sZVXUPp229R+sabKHV12KZfQtRttzWb+2Rz4WZu/+F2TAYTCycvZEjE8Z0sqS10c9BpIv/xJyh7/33i//VPbBe07mbn3vD89MSnOas0F776K5j81bELA89r83s/Lyznph0ZPNYvnpsTmz/MFEWStjaP9Z/to67KwcBxsYy7OIXA0KOvg66rq2PlypVs2LABo9HIaaedxrhx4zo1mGzturMIChrA8GEvdfjctnBV1+AsKmwWdbS1KJWVrU82mTBFRGCKiqI+PIxifz8KXQ3kV5VT31APgC0ymqThI0kefhKJQ4YTEGLDVVFBwbx/UvHJJ5iTk4l9/DECx3RsVkBFUSgpKWlmGPn5+U29pIKCgpqZRXx8fJvtODqHcJaWUvLyK5R98AEIQdiVVxJx801Nuar2l+/n1u9vpayhjGfPfJaJvTqerqQr0c1BB4DypUvJe+BBwq+7jpj772v1+bcZ3/LA6gcI8w/jhVOfZMCahbB9KfQ+Daa/ctg0DVJKrvh9Pxsqalg9diBxltYPbXudk9++yWDLD1kYDIKTz0lm5JQk/Mzt17e7XC42btzIypUrqaur4+STT2bSpEkEt/N2fDTs2HkvpaVrmHjquuP6ZqzU1+MsLlZN5DARiau0FAlU+5spDrJSEmSlNMiK06hGRzaDiZCqWmRDA5b+/bEMHIgwGpCKgkTtwor2VwIoChKJVCQgkVJdkK3XXYqkXkrqFKjDQJ0U2N1GOftJF/7ShcXlwl86MbucgNSu0ca1pQIIwuJ7EZ86kLjUgcT2S+10UkhfwZGTQ9GLC6j47DMMAQFE3HgD4ddcgyEggKLaImb/MJv0snQeGf8Il6S230uwu9HNQYe6rVs5eNXVWE8ZRdKrryJMzdN9L/p9EQu3LGRk1EjmD7iWyM/vhoocdZL7iXcfVTK3jLoGztyQxpQIG68O7d3ucRVFdaz7dC/7NhURFGZh/CUppI6OafagbjmIrW/fvkydOpXYNuYW6CjZ2e+xe88jTBi/Cqu11zF/X1cjHQ6cJSWHDKOwEHtBAYVZmeQW5VNQW0WVAYzBQQizGYFAGARof5ttCwFC/du4qNuGVufQ8lxtWxFCNQrNLOokOFH/rwRgNUCAQRBgNBBkNOBvFAijEQEIgwHF5aI4M6Mpbb0QBiKTexOfOpD4/gOJ6z+Q0Ji4E7IKqyE9ncLnnqf6hx8wRkYSOftWwmbOpAY79/x0D+vy1jF75Gz+PPzPHvn36+bQw3EUFpIxcxbCz4/eSxY3S8dc76znoTUP8U3GN1zQ93wecYViWTkPQnrBzNchsWNVFc9m5PPPA/l8OLwvkyIO37aQm17G6sV7KcqsIqZPCBNnpRLb19buILau+vFUVm1n48aLGDrkeWJiPJ/iw9eQUrbZfmG32wGwWCyt2i8CAwNpqK2hYO8ectPTyN2TRv7e3djr1AmhrMEhxKUOIL7/oKbows/PH+lSwKkgXRLpVJBOBdzWpVMeOsap7XcpoO1v3IfbeqvvcMlm1xBGgTHcH1O4P6YIK6YIf0zhVgzBfp2+B2s3babw2Weo+/U3/BITiZozB+u0yTy6/jGW7VvGjNQZPDjuwVapRrob3Rx6MNJu5+C111GflkbvDz/Af+Ch+XQLawu588c72VmykzlDrudP279HZKyGIdPh/Plg7djMcQANisKkDbtRkPw0eiD+xsM3FEtFkrY+n/Wf7aOqqgpTnwIKazLaHMTWVSiKk5WrRtCr1+X0T32wS7+7p6IoCsXFxc0Mo6CgoFlqEAEYhREjhkN/pcAgBQZFaOsGTBgxYcQoDBilQT2ucensttGIyWTCZDAi/IwIkwFhFAiTAdzWhcmAdLhwltTjqmgAt0ei8DOophFh1Yzj0LoxzII40r0uJTU//0zhs/NpSEvDMmgQUXffxZuBm3l1+2ucnnA6/zr9XwT4Hb/Bo7o59GDyHplL+Ucf0Wv+s4Sce27T/h3FO7jzxzupclQxr++lTFq1AJz1cO4/4aSr2p0x7GhYVVrFpVv3cXdyDPf1PXL6Yrvdzs+rVrN27VpcLheB9QmMH3sqY87rh9m/e96kftt0OYpiZ/QpS7vl+3sySq2Dms2FVPySQ2FRIcV+1TisEkVIXEI5tCBxoa1LFy4UnIoTh9OBw+XA6XLgVFwoQqIAUgjoguCx0SiaDKPFYjabCQkJISQomECjlQBpIdDuh7XWiKHchau0AWdpPTgPGR8GMIb6HzKNcDXiaDQTg+XQC45UFCq//Iqi//wHR1YWAaNH8/usETxY/g6Dwwfz4tkvEmE9+jkljgXdHHooZf/9iPy5c4m46Sai772naf83Gd/w0OqHCLOE8oIlhQGbPlQnjJn5JkR2TUK2W3dk8GlhOUOC/JkZE870mDBiLM0HXrU1iG386NPZ9WMJ6RsLCLCZGX9xCgPGxmr14F3H3r3zyMx6izPP2ILB4Psjdz2NlBL7wUpqfsmndlsxOBX8EoIIGhOHdURUs4djR1AUF6XZWeSmp5Gzexd5e/dQmpeDFAaEwUhYrwQie/clPCGZ8IRE/ENCcblcOJ3OpqXl9pH219fXU1VVRU1NTSs9fn5+qnGEhBBsDSJIM48Ah5mAehP+VQK/MgVZ52p2niHIr6mayqgZiDHERM3qbyl5dQGukhLqJ4xg7rB0HMkxLJq8iKSQpE6VWUfQzaEHUrtpEwevvY7AceNIXPQSwmhUG563LmLh1oWMDBvAczk5RBTshHGzYfLc1vMSH8v1XQof5pWwOL+MLVW1GIAzwoOZFRvOtEgbBZkH+fbbb5sGsU2bNo2kpEM/hvz9FaxenE7BgUqikoKZeGkq8f06Xs3VHoVFy9m2bTanjFqCzdY18xn0RFw1Dmo3F1KzIQ9nYR3CYiTgpGgCx8Riju+e1Cn11dXk7d1N7p408tLTyEvfjb1OHWviHxxCfOoA4rTG7th+/TvdM8rpdFJVVUVlZWXT0tZ2y+em0WgkOCiYYGsgQaYAAvAn0OlHQIMf/tVGrNUCqzRjQK2GEmYDyBocOem4KvPZG1bKj4Orufr8uxnSdwTC2H0N1bo59DAcBQUcmDETQ0AAfRZ/jNFmo85Zx0NrHmJ5xnIuDB3MI9tWYjYHwMUvQf9zulVPek09SwrKWJJfSk6DA4viondhNiOrSrl+7MkMHzaszUFsUpHs2VjA+v/to7qsgZSTo5kwPYWQyGPvBtnQUMjqNeNJ7fcASUnHNq1lT0NKif1ABTUb8qndXgxOiTkpmMAxsViHR2E4TNfkbtGjKJTkZDWZRe6eNEpzsgCtZ1RSstorSutK2zhXe1egKArV1dVtGof74j6Xh6pLEOgfQLA5kEDhT4DLjLXeRECNgUDprxqKtGAQQq2iaqOtwxjuf8xlrZtDD0JpaODg1dfQsHcvfT76L5bUVApqCpizYg47S3Zytyme69LXIfqcoY5dCD72rqFHQ21tLT+tWsVnu/eRHpvEgegE6hD0svgxPSaMmbHhDAhsOymZw+5iy3eZbFp+EKnAiLMTGTUtGbP12Noj1qw9nZCQEQwb+sIxfU9PwVXjoPa3Amo25uMsqkP4N0YJcZjjvCv19vGKLo4GKSW1tbWHNY/Kysqm3l7uWJwSq9EfmzlUrbpy+BEo/QnEQqC0EBwYROQf+hN4Uvuj6A+Hbg49BCkleQ8+SMXST+j1n+cJmTq1qeG52l7B0+X1TCrNg7MehAlz4Djk0nE6nfz666/89NNPNDQ0cNJJJzFp0iSMAYF8W1zBx/mlrCyrwiVheLCVS2PDuSg6lChz68Rw1WUNrP9sH7vX52MN9mPcRSkMnBCHoZPtEdu230llxWZOPfXnY/1nnrBIKWnYr0YJdduLwSUxJ4eoUcKwyOMeJXSWI0YXiUnE9R9IfP9BRPfuS2BYONbg45s+pLGto9EsCvfvZe+q5ZhqDdQEB2IPDaPerfdXI1PHTGLCeWd06pq6OfQQSt9/n4LHnyBy9q1E3Xkn32R8w4OrHyQCEy9k7qd/QKyaMC/hiPfCMdM4iO3bb7+ltLT0sIPYChscfFpYxpL8MrZV12EUcFZ4CDNjwzgnwtaqO2xBRiVrFqeTt6+CiIQgJs5KJWFAxzNdZma9SXr6E0w8dS0Wy5HnCe5JuKrt1P5WqEYJxXUIq4nAk9W2BL8Y74oSOkt9dTX5e3e7jbvY0zQfB4DBaCIgNJSg0DACw8IJtIURGBZGYGi4uh0aqq6HhmI0dU+WW6fi5KX37yLu3R8YkgkkJRJw883IUaOo1IwkJSWFuLgj9wpsC90cegA1GzaQ+acbCJo4kfgFL/Dytld4aetLnCQtzM/cR8RgbeyCf+eT3h0Ou91Obm4u2dnZZGVlkZ2dTU1NTYcHse2qrmNJQRlL88vItzsIMRm4ICqUWbHhjLEFYtC+Q0rJ3t8KWffJPqpK6+kzIpIJM/oRGn30fcQrKrbw628zGDZ0IdHR3dvu4gtIRdKwr1yNEnaWqFFC7xACx8YRMDQC0Q1p172JxuiiJDuTmvIyaspK1b/aenV5GXWVFW2e6x8c4mYioZp5aAairQeFheHnb+1wNCKlZNGWl1jzvwXctMZKdHYNlgEDiLr7LoLOOOOYohvdHE5wHLm5HJg5C6PNRuwHb/Hw1nl8e/BbLqp18HBpJeY//BtGXH5MYxfckVJSXl7ezAjcE7aFh4eTmJhInz59GDZsWKcGsbmkZE1ZNR/nl/JVcQW1LoVEfzMzY8KYFRtO3wC1Z5XT4WLrD1n89vVBXE6F4ZMSOOW83lgCjvwmpygN/LRyJImJ15La7/4OazxRcFXZqfmtgJoN+bhK6zEEmAg4OUaNEjpgtj0Bl9NJbWU5NWVl1JRr5tFivbq8lNryMlxOZ6vzTRYLQaHhagRi08wkNExd3NYDQmytZpj7NP1THls7l0syY7hspYKSnYP1lFHE3HffYaf3PRy6OZzAKPX1HLziSuwHDxL89kLuPvAvdpWmcXdpGdcF9EHMeBMi+x3TNRwOB3l5eU1GkJWVRXV1NaD2++7VqxcJCQkkJiaSkJBAYAcmxDkaapwuviquYEl+GavKqpDAqJAAZmrtE+F+JmoqGvhl2X52rc3DP9CPsRf0YfDEeAxHGLX6668zEcLEqFH/7VLN3o5UJA17y6nZkEfdzlJQJJa+NrUtYUgkwk+f2+FYkFJSX1PdKvpQTaS8KRKpLS9rVpXViDAY3CKQQ+aRJ0t4P2sxloBA/ibPxvzfz+n1wAOETJvWKZ26OZygSCnJve8+Kpd9juvp+7iz/g1q6suYV1DEmSNvgLMf7tTYhYqKimZGkJeX1xQVhIaGkpiY2GQEMTExXZ7e4nDkNdj5pKCcxfmlpNXU4ycEkyNCmBUbxtkRIVRm17B6cTq56eWExwdy6sx+JA1uf7TpnvR/kJPzAWecvgWD4cSfHc1V2UDNr2qPI1dZA4ZAEwGjYggcHYvfcZ7zW0fF0VCvGka5FoGUaQairTeaSG1FBVK2bpA+6/o/c9K0zuUIO1pzOL4Zn3SOmbJ33qFy2eeUXzWNOyqfI9JhZ1GFg/7T34PUyUf1HU6nk7y8vGZVRJXavAMmk4n4+HjGjx/fFBkEBXX/nNCHI85i5rakaGYnRrGjuo7FBWV8UlDG18UVhJqMXBgdyqwb+jN8fy1rP9nL5//ZSvKwCE6d0Y+w2NYRjS1kJFlZb1BdnUZISOdCc29HKpL69DJqfsmnPq0EFLCk2LBN64N1SISaX0jHY/hZ/AmNiSU05vDdyhWXi9rKCmrKyziYu4dX1y2gobKKASFVdPcwTj1y8CFq1q0j88abKDwpgTsmZ3NSQwPzrYMIv+RVCG6/501lZWUzI8jNzW0aoGOz2ZoigsTERGJiYjCZvP+dwalIVpVVsTi/lG+KK6hTJH2sZmZEhTF4Xz05X2XitCsMnxDLiHFxGB0uXJV2XJV26qty2B56NXG5NxBZ/QeMNgvGYDNGmxljiBljiEX7a/a5BllXhVuUUN6AIciPQC1KMHXBQEIdz1JWX8ZfV/2VOSfNYViU3ubQJj3NHOzZ2RyYOYsSSwNzrrQzzVHHQyNux9xi7ILL5SI/P79ZFVFFhdrbwmg0Eh8f36ytICSke3oydSdSSmRD48O+gfLyer6uquZ/znp+MammN7JS4dwsO1PyHYS4txEKEIEm9o6+k6CGYSTmzUHRTEM6WofvwmpqMgp302hat5kxBJq7Nd3BkZCKpH53KTUb8qlPKwUJltRQtS1hkB4lnGhIKXtWbyUhxDTgecAIvCalfPpwA/5Z1wAAEUZJREFUx/ckc1Bqa9l72aVUZ+7n/msFVwYYueb8NxAJp1BdXd3MCHJzc3FqPSaCg4ObtRXExcV5fVQgnUrTQ7/xTb9xW3Fbl/Y2HuT+RgojzHwT58fnNthvkpglnFSqMDStluEOI2On9yN5eCTbtt9GdfUuJoxfoV5XSmS969B1K+y4qtzX7SgVDbiq7dDy0gIMwZppBJtbRCJuUYjV1KUDrJzlDdRszKf213xcFXY1SjgllsDRMZgi9ChBp218yhyEEEZgDzAFyAY2ApdLKXe2d05PMQcpJTtvuQpWbWL+TAMXp44iOvVGsvKKyMrKory8HACDwUBcXFyzKiKbzeZh9YeQikSpceCqaGj2wG9cVxoNoLZ1V0BMovlbe+MDWNs2aJ+5j9yVUrK1qo7F+aV8WlhGqcNFoF0yOKOBKcLC5HFrySt+ltMmbsBsPvpUyVKRKNWOFubl/u9Q19v+dxjcIo+2IxFDi39Hq+u73KKE3aUAWFLDCBoTi/+g8CPOL6Cj42vmMB6YK6U8R9v+G4CU8qn2zumsOWxa+i7ZO/d3VupxRymvwlHm4ECsP3ZLAE7t/yvQEkCviFjiw9UlNjQKk9HzUYF0KK3fuCsbcFW188YdZG7/gWmzYAg2Ywg4tjduhyJZUVrJx3mlLC+qwCEgqqaOMwM+pY+pP0ZDN4yUViS4JMKpzliGs3FdgktBONWFtn5+BpAmA1KblAaTAWkUCJfEUNmgfodJoIRYUELMoHdB7XGMj0thTMrgTp3ra72VegFZbtvZwNiWBwkhbgZuBpqleu4I6b/tY5e5U6d6huAgRJAgQgbR22EjRrERLW0E1fsjKgTsB6igkrZHcXoK97p6v+iwNg3AEHR86ur9DIKpkTamRtqocDj5JLuEt/fksVhcAS7Upbsw0bW/sraaiBxd+P06PsGtmbs6bQ5Hi7eYQ1tPiFbvVFLKV4BXQI0cOnOhUy87l9T03Z051TMYjKSOmoq/1Tdy2wijUN/2vTQ5m83PxPV9Yri+Twzp+TkUVJZ4WtKRkRIa21g6OYGOzolFn4jTuv0a3mIO2UCi23YCkNsdF0oYMZaEEa2CEp0eSGpsL1Jje3laho6OV+ItlZUbgVQhRB8hhBn4I7DMw5p0dHR0eixeETlIKZ1CiNuB5ahdWd+QUu7wsCwdHR2dHotXmAOAlPIr4CtP69DR0dHR8Z5qJR0dHR0dL0I3Bx0dHR2dVujmoKOjo6PTCt0cdHR0dHRa4RXpMzqDEKIIONjJ0yOB4i6U0934kl5f0gq+pdeXtIJv6fUlrXBsepOllFFHOshnzeFYEEL8ejS5RbwFX9LrS1rBt/T6klbwLb2+pBWOj169WklHR0dHpxW6Oejo6OjotKKnmsMrnhbQQXxJry9pBd/S60tawbf0+pJWOA56e2Sbg46Ojo7O4empkYOOjo6OzmHQzUFHR0dHpxW6Oejo6OjotEI3h3YQQowRQtiEEEHatleXlS/p1bV2H76k15e0gu/pdUd0YhJ2vUG6DYQQrwC9ga1AKPCklPKAEMIgpVQ8Kq4NfEmvrrX78CW9vqQVfFLvLcABoFJKuV7bJ2QHHvg+43zHCyHE1UAvKeVU4EXUyYfeFUL0lVIqnXHg7sSX9Opauw9f0utLWsEn9b4LnA+MBW4SQvwDQEopO6JVN4fWWIDdAFLKg8AGoBR4SQgR3RHnPU74kl5da/fhS3p9SSv4kF4hRH/AJqW8APgH8A1wpRBiHqgGcbTfpZtDa34EzhdCPCCEGIg6n/UC1HCytyeFtYMv6dW1dh++pNeXtIJv6TUDQ4UQ8Vp1VzqwBBisRUBHjW4OgBDinMZ1KeV+YBYwFZgDLJNSLkct9GGeUdgcX9Kra+0+fEmvL2kF39PbiJRyO/A+sEoIcRPwBrAF+BBI6OiX9egF+ADIBJ5usd+E1mCvbX8OXKPr1bV6Wquv6fUlrT6q935gcot9NwI3AJdr26OA1wC/o/3eHh05CCHGAYnA9UC4EOJp98+llFIIESaEeAeollK+4wmdjfiSXl1r9+FLen1JK/ik3reAPwN3CSHObdwvpXxNSvm6lPJDbdejQKmU0nHUX+5p1/P0AqQA/sBo4G1avy1YgRlu2wZdr65Vvw9OTK2+pBfwA/4JTAQuBb4EpmmfNQ5TsAJPAa+4nSeO6vs9+Z/gwf/8IUCfFvtMqKHXO8Aj2r4/Av4dLdSerFfXquv1Na2+qLeFRj8gBLhWM4jzWxzT1239qI2sxw2CE0K8h9rDIBdQpJR/dPvMAiSj1uHNBL6QUl7hCZ1umnxGr661+/Alvb6kVdPka3pvQW0TKZdSrnPbHwpMRx3jsBD4A/C2lHKL9nmHBsF5zPE85LKzgJ+0dQvwNWo3L/8Wx/2qFapH3w58Sa+uVdfra1p9VO+rwM/AA0AWLRrEAQFcBTiAz47lWj2tQTodyBBC2KSUDVLKcwEJLG48QAhxHrBdSnmttm2QWql7AF/Sq2vtPnxJry9pBR/SK4ToAwwAzpFS/gO1iutvQojrG4/RdN0AfCSlvEg7r3MjuD3hfp5aUMPDpcCkFvt/BP6vjeM93TDmM3p1rbpeX9Pqa3pRI5tFwGloXVKBCUAeMF3b9gf+0hV6T/jIQQhxjxBirjaoJRP1RpgvhJgghDBqhz3b1rnSAwm1fEmvrrX78CW9vqQVfFJvmHbtBlQjuA61IRop5VrgFuBqLfqpl1L+WzvvmJICmo5VuDcjhHgTtRV/J3AFYJRSfiCECAH+DbwlhNgGzAbSPKdUxZf06lq7D1/S60tawSf1PgekCCEOAO9LKR8VQnwGLBJC3COlLAF+Qu2p5HQ/91iN7ITtrSSEuBy4RUp5prZ9N3CelHKKtn0ecDIwHCiUUt7uKa2aHp/Rq2vtPnxJry9p1fT4mt5XUdOD34864tkqpbxL++xDoBY1khgJVEgpr+xSAZ6qP+vmurlrgCBgBIcMMBz4BAhpcayf27qnBrP4jF5dq67X17T6qN5ewP+AUG07GjXaOcXtmPOAm4H73fZ1WS+qE7XN4WLUxqStUisxwIVawE4AIcSFWh2dQ9sW0nOTdviSXl1r9+FLen1JK/iQXiHEI6hzMVwB1Aoh/KWUhag9q8yNx0kpv5JSviKlfFo7r0t7UZ1Q5uDWmDQbkEKIVG2/GbVQiwCTFpKNl1JWNJ7blYV6ourV0LV2H16vVxyaGtPrtWq6GttVfUKvxnfA1agjtu1SynptfyVqjyWEEA8JIYa7n9TVRnZCmYMbdaiN7eMBtAIu0j77CbV+7m8e0taElNKlrVbjxXqFEEPcjKwK79Y6Swhh0za9WiuAUOcISNI2a/BivUIIK2pXSfCd31hjI20dapoJr9YrhBDAOtRJevpq+yzax2VAghDidVTj+L1bxXRV/ZQnF9RuZ88Cz6BO5wcwGHVU41nathF1co6P3c7zVH3iIuBbmtdtDgY2Amd7k17UfPBPttjnlWULvAe8C4S77RuiafWqctWu+wJQDNzBoXrwxvvA28r2Fa1sv0J9MHntfaBd91/A48DfgRRt33Av1psIBLltT0cdiOe+7wnURuh/u+3rtpHax70QuqFQX0Md7j4ZeB0tK6H22QXAXCBC2+7lBTeBWTOHSu3Ba3H77A/epFcrzyUt9jU+xLyqbFGzUn7lrhMtBQJqrhmv0apd9yXgI9TRrB+3+Oxc4BFv0atpXQIkaQ/dC90+u9ALy/Zl7cE6AbgX2AcM9mK9rwMrtWeZ+4P/SVRTbhzwdhPw6fHS69PVSkKIC1D7Kc+UUn6P+uA9UwhxtRAiGTVcDNEWULt9HfPgkGNBSmlHvXFvBGyoGR8bh8ZvBwLxAr1CiDNRu/W9p23PEELcA/xd07oS7ypbM+qAJoQQc1ATjy0XQowBfkEt68bqJo9qFULMBiKllJdJKV8HEoUQc90O2Yfas8bjZatVJ/oBf5VSZmqaLhRCLBBCDEKtH7d5g1btukLTe6tUB4i9ApQAXwt1fuXVQLAX6b0VtfroPNSaj1OEEJ9oHz8E5KNGPEgpX5VSXnK89PqsOWj1ystRG5oa+zCfAhQA/VC7qBmAvcAbWou/Ah4b5RjtthkInCGlnAFYhBC5wPNSnbw8z9N6hZrdcT1qLvuBQoiPgb9qH0cA/9XW93mB1lhtdTtQLISYgtoz5QXUmbo+QK0n3wG87gX3QSDwlpRyltvuR4BYcWgk7B4gG8+XbQxqnqEw4HYhxEvAGcAy1N9Z4wtCmqe1uukVqBlWr9F2BwPfo0Zpj0kpS1FfIjyuV2MfsEZKWSOl3CXVMRgxQoj3pNomWQac437C8epF5ZMjpIUQrwHxqK76hRDiG2A3cJqUslg7Jgm1rnGhUEc/hmrHe0pvrBCiGDU8X4taXwvqQ2AsahZFpJTPag1QHtHrVrb7gE1ApKZtupQyVzvmLdQc8QuEEMEe1horhMhHjQ7ORH0LWyal3AnsFEJEoFY1viqEiPKUVje98UChEOJ/wEopZRlqWY8GpqHO9YuU8nkhRICn9Gpa44BdqFlAAWKBh6WUy4BlWtmOk1K+LIQI95TWFnp3oLbnPSKESATOQq2+fRNYIISwaGVr9aReNxzAWUKIvlKdqxrgdOAroc7s9iqwQgiRKaV8D45fLyqfixyEELejPgCmow4KGQ/8H7C30Rg0ElH7MAPMk1J66qZt1DsT9e32dNR0u+cIIRpNIgGIFkLcpZ32tCf0tijbLNQyDEStB811OzQRiNHWPVK2Lco1HfXtdh9qeQ5q7LKI2iDdmJXSI+UKrcp2O1p9uBAiVEq5D7V+ebYQorfbaZ6+D2agNpiHokaM1agvC40M4lBVnTeU7QzUN+161KrbT4BLpZTPSykrUbX31k7z5DPhTSHEuwBSyhWoNSA/aWaGFjF8A8RLKatRcymtON46fc4cUKOd76Xa9/d51JmPAoHbhBAWIUSIEOID4ICU8hvweN/1lnq/Ru1bnYP6AD5PuxnOkFI+Bx7V6651Pmr9bD1wrhDCJITw1/qD75dSLvcirc+iRjk7UKOyAOAWIcR3qGkQXvGwVmh9H3yF2mf9Nu0tdiVQiPr2C3hN2T6D2nbnRG2QflYIsVAr2wypzaHsRWX7DLAN9Tc2ATUdt0UI8TXqvbAbPKdXCPEw6guMVXtOIaV8FLXt8UchxGQhRC9gKmqUiZRyh5Qy57iL7a6W7u5agJNQu/pN0rYFaji+CPUN/Ak6MV/qcdZ7PjAPiNX2ecW0g4cp25dRb9T7gYVerPUPqPPlpqDWNY91O97TqaEPV7bR2r4pntR4BK3nozaQjkWdR+Aat+O9tWwXaffthcA/3I735H2bgto2GoiaDfZDt89u1e6Hz1HbpTx7H3haQCcL+GbUbl+nuu37DLUh0r1rqEdv2qPQe62ntXVA63TA7E1l247Wz2ljdixPaz1C2V7vbXrb0folajWN+3Eevw+OULZep7dRA2pV3RLUiXkaPxsCBHiDXl+sVgL4GDV0vEMIMVPbZwRsUs157uk8Li1pS68B8BZ97rRXtsFS7YbrTWXbllaB2sOmCan9yryA9sq2Zaplb9DbllaJlr6hES+5D6D9svV3P8gb9MpDPaRKgNsApxDiXSHEMmCilLIWPP8789mU3UKIINR6uadRG6aRUl7sUVGHwZf06lq7D1/S60tawSf1Ciml1HpTFgH/k1Je5mldjfisOTSi9ck3SzVroUcHuB0NvqRX19p9+JJeX9IKPql3EWra8Cu0ba/Q6/Pm4E6jE3tax9HiS3p1rd2HL+n1Ja3gG3qFEIlSyixt3SuMAU4wc9DR0dHxVbzNyHRz0NHR0dFpha/2VtLR0dHR6UZ0c9DR0dHRaYVuDjo6Ojo6rdDNQUdHR0enFbo56Ojo6Oi0QjcHHR0dHZ1W/D8DQeaW6l3IvgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "migrated_customer_orders_df_grouped = df_orders.groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "list_of_industries = df_orders.IndustryCode2Description.value_counts().nlargest(10).index.tolist()\n",
    "list_of_date_bins = []\n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    \n",
    "df = pd.DataFrame(0, columns = list_of_industries, index = list_of_date_bins) \n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:    \n",
    "    months_industry_df = group.groupby([\"IndustryCode2Description\"]).sum()[\"SalesValue\"].reset_index(name='SalesValue Sum').nlargest(10, 'SalesValue Sum')\n",
    "    for i in list_of_industries:\n",
    "        list_of_active_industries_in_month = months_industry_df['IndustryCode2Description'].unique()\n",
    "        if i in list_of_active_industries_in_month:            \n",
    "            df.loc[name.date().strftime('%m/%Y')].at[i] = months_industry_df.loc[months_industry_df['IndustryCode2Description'] == i, 'SalesValue Sum'].iloc[0]\n",
    "df.plot()\n",
    "plt.xticks(rotation = 45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Legend movement line\n",
    "# plt.legend(bbox_to_anchor=(1, 1), loc='upper left', ncol=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sales Value by Industry - Offline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([-1.,  0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.]),\n",
       " <a list of 10 Text major ticklabel objects>)"
      ]
     },
     "execution_count": 19,
     "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": [
    "migrated_customer_orders_df_grouped = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'Offline'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "list_of_industries = df_orders.IndustryCode2Description.value_counts().nlargest(10).index.tolist()\n",
    "list_of_date_bins = []\n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    \n",
    "df = pd.DataFrame(0, columns = list_of_industries, index = list_of_date_bins) \n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:    \n",
    "    months_industry_df = group.groupby([\"IndustryCode2Description\"]).sum()[\"SalesValue\"].reset_index(name='SalesValue Sum').nlargest(10, 'SalesValue Sum')\n",
    "    for i in list_of_industries:\n",
    "        list_of_active_industries_in_month = months_industry_df['IndustryCode2Description'].unique()\n",
    "        if i in list_of_active_industries_in_month:            \n",
    "            df.loc[name.date().strftime('%m/%Y')].at[i] = months_industry_df.loc[months_industry_df['IndustryCode2Description'] == i, 'SalesValue Sum'].iloc[0]\n",
    "df.plot()\n",
    "plt.xticks(rotation = 45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sales Value by Industry - Webshop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([-1.,  0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.]),\n",
       " <a list of 10 Text major ticklabel objects>)"
      ]
     },
     "execution_count": 20,
     "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": [
    "migrated_customer_orders_df_grouped = df_orders[df_orders['PurchaseOrderTypeDescription'] == 'Webshop'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "list_of_industries = df_orders.IndustryCode2Description.value_counts().nlargest(10).index.tolist()\n",
    "list_of_date_bins = []\n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    \n",
    "df = pd.DataFrame(0, columns = list_of_industries, index = list_of_date_bins) \n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:    \n",
    "    months_industry_df = group.groupby([\"IndustryCode2Description\"]).sum()[\"SalesValue\"].reset_index(name='SalesValue Sum').nlargest(10, 'SalesValue Sum')\n",
    "    for i in list_of_industries:\n",
    "        list_of_active_industries_in_month = months_industry_df['IndustryCode2Description'].unique()\n",
    "        if i in list_of_active_industries_in_month:            \n",
    "            df.loc[name.date().strftime('%m/%Y')].at[i] = months_industry_df.loc[months_industry_df['IndustryCode2Description'] == i, 'SalesValue Sum'].iloc[0]\n",
    "df.plot()\n",
    "plt.xticks(rotation = 45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Breakdown by Business Unit - Import ArticleProdGroupNL - BU link table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_bu = pd.read_csv(r\"APGBU.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Left Join ArticleProdGroupNL with BU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of unmatched APG - BUs:  0\n"
     ]
    }
   ],
   "source": [
    "df_orders_with_bu = df_orders.merge(right = df_bu, how = 'left', on = 'ArticleProdGroupNL')\n",
    "df_orders_null_apg = df_orders_with_bu[df_orders_with_bu['BU_Eriks'].isnull()]\n",
    "print (\"Number of unmatched APG - BUs: \", len(df_orders_null_apg))\n",
    "df_orders_with_bu['SalesDocumentHeaderCreationDate'] = pd.to_datetime(df_orders_with_bu['SalesDocumentHeaderCreationDate'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## % Webshop orders by BU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1d8ef04a100>"
      ]
     },
     "execution_count": 23,
     "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": [
    "migrated_customer_orders_df_grouped = df_orders_with_bu.groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "list_of_BUs = df_orders_with_bu.BU_Eriks.value_counts().nlargest(10).index.tolist()\n",
    "list_of_date_bins = []\n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    \n",
    "df_migrated = pd.DataFrame(0.0, columns = list_of_BUs, index = list_of_date_bins) \n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:   \n",
    "    only_webshop_for_scaling_df = group[group['PurchaseOrderTypeDescription'] == 'Webshop']\n",
    "    only_webshop_for_scaling_df = only_webshop_for_scaling_df[only_webshop_for_scaling_df[\"BU_Eriks\"].isin(list_of_BUs)]    \n",
    "    months_bu_df = group.groupby([\"BU_Eriks\"]).count()[\"CustomerId\"].reset_index(name='count')\n",
    "    only_webshop_for_scaling_df = only_webshop_for_scaling_df.groupby([\"BU_Eriks\"]).count()[\"CustomerId\"].reset_index(name='count')\n",
    "\n",
    "    for i in list_of_BUs:\n",
    "        list_of_active_BUs_in_month = months_bu_df['BU_Eriks'].unique()\n",
    "        list_of_active_webshop_BUs_in_month = only_webshop_for_scaling_df['BU_Eriks'].unique()\n",
    "        if i in list_of_active_BUs_in_month and i in list_of_active_webshop_BUs_in_month:            \n",
    "            df_migrated.loc[name.date().strftime('%m/%Y')].at[i] = (1.0*only_webshop_for_scaling_df.loc[only_webshop_for_scaling_df['BU_Eriks'] == i, 'count'].iloc[0]) / (1.0*months_bu_df.loc[months_bu_df['BU_Eriks'] == i, 'count'].iloc[0]) \n",
    "\n",
    "df_migrated.plot()\n",
    "plt.xticks(rotation = 45)\n",
    "plt.title(\"Percentage Webshop Orders by BU for Migrated\")\n",
    "plt.legend(bbox_to_anchor=(1, 1), loc='upper left', ncol=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Number Offline Gen Pub orders by BU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Number of Gen Pub Offline Orders per BU, per Month')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlcAAAEjCAYAAAAfYCTOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdd1hUx/oH8O/s0jtIkb7A7rKFIoKoCLEXjObaRUmIKdcYYyWoucmNSUziNYnmRlNsiUYhiSbGnxq7xigmlogFpXdEmiBdissyvz/OLndFmgpSnM/z8MCeMuc9Z5fdd2fmzBBKKRiGYRiGYZiOwevqABiGYRiGYXoTllwxDMMwDMN0IJZcMQzDMAzDdCCWXDEMwzAMw3QgllwxDMMwDMN0IJZcMQzDMAzDdKCnPrkihHxPCPmoi45NCCHbCSGlhJC/uyKGjkIIOU0IebWDy3QnhFwlhFQSQhYRQvQJIb8RQsoJIb8QQuYQQv7U2L6KEOLakTF0pKbxMk8XQsgwQsitro6DYZjO1+2SK0JIFiGkkBBiqLHsVULI6S4Mq7MEAhgNwIFS6t/cBoQQW0LIVkJInip5yFAlhJKODkb15t+gOk4lISSZEPJSRx9HdSwzQshGQkgBIaSaEHKjmWMtB3CaUmpMKd0AYBoAGwB9KKXTm5ZJKTWilGZ0UrwTCCF/E0LuEkLuEEJ+IIQ4dMaxujtCyPuEEIXqdVJFCEkkhEzVWN9sEqn63x71ZKN9ECFEQAihhJArTZZbEkLuEUKyOug4lBAi7IiyGIbpWbpdcqWiBWBxVwfxsAgh/IfcxRlAFqX0bgvl9QFwDoABgCAAxgD6AzgDLinrDHmUUiMAJgBWANhKCJF15AEIIToAToI7/8EATAEsA7CGEBKusakzgPgmj1MopfUdGU9bCCHTAPwIYD0ASwByAHUA/iSEmLewj1YHx/Cwr62OOm5L57FblcwaAVgCIIoQYvMEQ2uXNp4HQ0KIh8bj2QAyOzkkhmGeAt01ufoMQAQhxKzpCo1vnVoayxqbpFTfmv8ihPyXEFKmqukJUC3PIYTcJoS82KRYS0LICVVtzRlCiLNG2RLVuhJVTc4MjXXfq2pfDhNC7gIY3ky8doSQA6r90wgh/1QtfwXAtwAGq779f9DMdVgKoALAC5TSdMopo5Rup5R+qXGMQYSQc6rzjSWEDGtybT5UXZNKQshxQohlG9cfqmPtA1AKQKaqrYhq7XkA4Kaq3SknhOwnhFi0UPwLAJwATKeUZlJKFZTSowAWAVhFCDEhhJxSXc+vVNfnJwArAcxUPX6lmWvdWFOgem6+JoQcUp33RUKIm8a2LT6vTcokANYB+IhS+gOltIZSWgDgVQBV4J6jpq+7EgDvE0L6qJ77CsI1+7o1KfuhXluEkPGEkATV+eQSQiJaiFkdy5eq5yKJEDJSY70pIeQ7Qki+qpyP1Mlbc+fRwnPYiFJ6DEBl0/N7HKrncpHq/7eYEPIZIYSnsf5lwtWYlRJCjjX5n6WEkDcIIakAUls5TCQAzfeCMAA7m8QhVf0PlRFC4gkhz2msa/E1RgiJVm0Wq3q9ztTY703CvQ/lk06qGWYYpotRSrvVD4AsAKMA7AX3gQZwH2SnVX8LAFAAWhr7nAbwqurvOQDqAbwEgA/gIwA3AXwNQBfAGHAfBEaq7b9XPX5GtX49gD9V6wwB5KjK0gJXa1QMQK6xbzmAIeASVb1mzucMgG8A6AHoB6AIwEiNWP9s5VpcAPB+G9fLHsAdAONVMYxWPbbSuDbpAMQA9FWP17RQ1jAAt1R/8wBMBqAA4A7uQzZKY9v7ngdVubkAPFTX7VfN7ZscZxeAHc0s11I9d2ObPq+qx01juO/6qeIRajw3JQD8VeX+AGBXe57XJjFJVOW6NLPuAwDnm7zuFqrK1Fed58+q43mors8jv7YA5AMIUq03B9C/heurjmUpAG0AM1VlWajW7wOwWRWDNYC/AbzW0nk0U37j8wCAAHgWQBkAs9Ze11D9b7fzfYAC+AOABbhEPAX/+x+fBCANgFQV478BnGuy7wnVvs3FL1BtI1A9B3xVWcng3nuyVNtpq47zNgAdACPAvVe4t/Uaa/p61Pj/qgewSlX2eADVAMw78z2V/bAf9vPkf7przRXA1VIsJIRYPcK+mZSr3VEC2A3AEcAqSmkdpfQ4gHsANPtCHKKURlNK6wC8A642yRHABHBvtNsppfWU0ivgkoZpGvvup5T+RSltoJTWagahKiMQwApKaS2l9Bq42qoX2nkelgAKNMp7TvUNupIQcly1+HkAhymlh1UxnAAQA+6NW207pTSFUloD7sO+XyvHtCOElIH7oH8PXK1ZcjvjjaSUxlGumfNdADNI881ZluAShftQrrmvWLW+I+yllP6tKvcH/O+82/O8asaK5uJVLdOMNY9S+qXqePcATAWwklJ6l1IaB2CHxraP8tpSgKtFNKGUlqr2acltAF9QrlZwN7jE4VnCNd0FA1iiius2gP8CCGnuPFSvmebMUL1O7gI4AGA1pbSslXgexSeU0hJK6U0AXwCYpVr+GoD/UEoTVdd6NYB+mrVXqvUlrcQPALfwv4TqRTSptQIwCIARuC8j9yilpwAc1IgDaPk11hIFuPciBaX0MLjaT/c29mEYpofptsmV6sPoIIC3HmH3Qo2/a1TlNV1mpPE4R+O4VeC+jdqB6+MzUJXQlKk+TEIB9G1u32bYASihlFZqLMsGV9vUHncA2GrEdoBSagauRkJHtdgZwPQmMQZq7geNBA3cN2XNc28qj1JqRim1oJT2o5TuameswP3XIhvct/PmEqXiJvEBaOwfY6la3xFaOu/2PK+asaK5eFXLNGPVPH8rcLUZTa+J2qO8tqaCS5qzCdd8PbiZmNRyKaWas7Jn43+vaW0A+RrH3QyuBqul4zbnZ9XrxABcc2AYIeQ11bp61TGa0gaXXLRX02tnp/rbGcB6jfhLwNWg2bewb2t2gqtpmwUgqsk6OwA5lNKGJnFoHudh/rcA4A69v89ge/ZhGKaH6bbJlcp7AP6J+9/M1J2/DTSWNfeh+DAc1X8QQozANSfkgXuDPqP6EFH/GFFKX9fYl6JleQAsCCHGGsucwDUPtcfvACZp9jVpRg64GiPNGA0ppWvaeYz2uou2r7mjxt9O4D5Im0uUTgIIJhp3hKpMBddR/MJjxNke7Xle1ZLB1XDcd3ei6jmZCu45UtN8LRSBSzKaXpOHieG+1xal9BKl9B/gEqF94GohW2Kv6i+meWz1a7oOgKXGcU0opfKWjtsWSmkWgCMAJqoW3QTgpHl8QoiBKu7sBwpoWdNrl6f6OwdcM6bmtdOnlJ57hHP4FVyzZgaltGlseQAcm/z/Pcz/L8MwT6lunVxRStPANest0lhWBO7N7XlCCJ8Q8jIevyPteEJIIOHuYvsQwEVKaQ64mjMxIeQFQoi26mcAIUTazvhzwN3t9x9CiB4hxAvAK+CaD9rjc3B9ayIJIW6EY4z7mx6iAEwkhIxVXQ89wg2p0NHDBFwD8AwhxIkQYgrgX81s8zwhRKb6IF0FYI+qabapSHAJyy+E6xivTQgZC2ADuD5m5R0ce1Ptfl5VtT8RAP5NCJlNuLG2+oJr3jUB16T2ANV57wXXsd2AcHdcanaefqjXFiFEhxASSggxpZQqwN3o0Ny1VbMGsEhV7nRwfYoOU0rzARwHsI5wNw7wVK+toa1esVaoXmvj8L87Oy8CqAXwlur1aAhgDbjm6mzVPnNI20MeLCOEmKua1xeDey8AgE0A/kUIkavKMlWd40NTNWGPANevs6mL4L5ULFddx2HgEsj21uYWAui2464xDNN5unVypbIKXMdbTf8Ed+v+HXC3xZ9rutND+hFcLVkJAF9wzTNQNeeNAdcfJQ9cE8An4Dq+t9cscB1n8wD8H4D3VP2i2kQpLQbX76MWwJ/gOtNeAzckw+uqbXIA/ANcp9sicN/ql6GDn1tVzLsBXAdwGVxy0FQkuE6+BeA6YC9qZhuo+raNUsV6EVyi8DmAdyiln3Vk3C0c/6GeV1WfpRfANccWA0gA12F9CKX0TiuHWgCuyacA3HXZ/qgxqLwAIIsQUgFgHrj+di25CECkivdjANM0Yg0D16ycAO5u0D1ovtmzNeq7NqsAXALwF7gO/urn91mobpAAkAGuiW2GRlOlo2qf1uwH91q7BuAQgO9U5f8fuGu1S3Ut4sD1I3sklNIYSml6M8vvAXhOVXYxuBtTwiilSe0s+n0AO1TNl83ejcowTO9E7u+WwTBMT0cImQPuzrrAro6lJaobMhZTShNbWE8BiFS11wzDMD1Khw50yDAM0x6U0jFdHQPDMExn6QnNggzDMAzDMD0GaxZkGIZhGIbpQKzmimEYhmEYpgOx5IphGIZhGKYDPdEO7ZaWllQgEDzJQzIMw/R4ly9fLqaUPspUYAzDdIEnmlwJBALExMQ8yUMyDMP0eISQhxnZnmGYLsaaBRmGYRiGYToQS64YhmEYhmE6EEuuGIZhGIZhOhAboZ1hGKYHunz5srWWlta3ADzAvigzzJPUACCuvr7+VV9f39vNbcCSK4ZhmB5IS0vr2759+0qtrKxKeTweGw2aYZ6QhoYGUlRUJCsoKPgW3OTuD2DfdhiGYXomDysrqwqWWDHMk8Xj8aiVlVU5uFrj5rd5gvE8nprSro6AYRimO+GxxIphuobqf6/FHKpnJFcHw4FNQQCbB5FhGKbbWLFiRV+hUCgXi8UyiUQiO3XqlOGjlBMeHm63cuVKGwBYsmSJ3b59+4w7Ir6amhoyatQoN7FYLJNKpbKEhASdlra1t7f3FIvFMnd3d9mQIUNEN2/ebLHbzMGDB42HDx8u7IgYmd6pZ/S5svUCYr4DipIAa2lXR8MwDPPUO3nypOGxY8fMbty4kaCvr0/z8/O16urqyOOW+8UXX+R1RHwAsG3bNnMTExNlSkpKQlFREZ+Q1sM7c+ZMiq2tbf2CBQvsV65cafv999/ndFQsj6O+vh5aWj3j45rh9IyaK+Fo7nfqia6Ng2EYhgEA5ObmaltYWNTr6+tTALC1ta0XCAQKADh79qzBgAED3OVyuTQwMFCUnZ2tDQDr1q2z9PDwkLq7u8vGjh3rVllZ+cBn0NSpUwXbt283B7japKVLl9rJZDKpWCyWXb16VQ8A8vLytAICAkQymUw6e/ZsZzs7O8/8/PwHsg8dHR1aUFCg09DQACsrK6WlpaWyPec2bNiwyszMTN3q6moybdo0gbrm67fffruvRk2pVMLZ2dkjLy9PS/3YycnJIz8/X2vq1KmC0NBQp4EDB4odHBw8Dx06ZDR9+nSBq6urfOrUqQJ1GXv37jXp16+fRCaTSYODg13Ly8t56nOPiIiw9fX1dd+2bZt5u54UptvoGamwqT1gLQPSTgBDFnV1NAzDMN3Ksj2xjikFlQYdWaa4r3H1Z9O8W6y5mTRpUsV//vMfO4FA4BEYGFgxa9askmeffbaqrq6OLFq0yOnQoUNpdnZ29Vu3bjWPiIiw/+WXX7JCQ0NL33zzzWIAWLRokd2GDRss33nnnWZvZVeztLSsT0hISFyzZo3VmjVrbHbv3p391ltv2Q0dOrTyP//5T8GePXtMfvrpJ8tmz0EsrouLizNYsGCB/TfffJPb3nM/cOCAmUwmq/nkk0+sASAlJSXh6tWreuPHjxelp6fHqbfj8/mYNm3anW+//dZi5cqVt/fv328ilUprbG1t6wGgvLxc6/z58yk//vij2cyZM0WnTp1K8vX1rfHy8pKeO3dO38XFRbF69Wrb6OjoFBMTk4Z33nmn74cffmizdu3afADQ09NruHz5cnJ742a6j55RcwUAotFA9nmgrrKrI2EYhnnqmZqaNsTFxSV89dVX2VZWVvUvvvii24YNG/pcv35dNzU1VX/EiBFiiUQi++yzz2zz8vK0AeDy5cv6vr6+7mKxWPbrr7/2iY+P12vrOLNnzy4FAH9//+qcnBxdAPj777+NXnzxxRIAmDZtWoWJickDNVJVVVXklVdecbl+/Xr8jRs3DFatWmUNAEOHDhXGxMQ0e9yhQ4eKJRKJrLKykvfhhx8WnDt3zigsLOwOAPj4+NTa2dndu3Hjxn37vv7668W7du3qAwDbtm2znDNnTrF63bPPPlvG4/HQv3//6j59+ij8/f1r+Hw+xGJxTXp6uu7p06cN09PT9fz9/SUSiUS2a9euPjdv3mzsFxYWFsbu5OqhekbNFcA1Df61Hsg4A0gndHU0DMMw3UZrNUydSUtLCxMmTKicMGFCpZeXV01kZGSfQYMGVQuFwppr164lNd1+7ty5Lnv27EkbPHhwzYYNG/qcOXOmzY7renp6VHUsWl9fTwCAtuPmpkuXLulbWFjUCwQCxaFDh9KfeeYZMSEEFRUVWv37969tbh91nyv14/YcRygUKiwtLesPHDhgfPXqVcN9+/ZlNI2dz+dDR0ensTAej4f6+nrC5/NpYGBgxW+//ZbZXNnGxsYNbQbAdEs9p+bKaRCgYwykHu/qSBiGYZ56sbGxujdu3NBVP7569aq+g4PDPS8vr9qSkhKtkydPGgJAXV0dUdcUVVdX85ycnBR1dXVk165dFo96bH9//6rIyEgLgOuzVFFRwW+6jYeHR11GRoZeTEyMnomJScN3332XtWrVKofg4OAyHq99H32BgYFVUVFRFgBw/fp13fz8fB0vL68HErOXX3656NVXX3V57rnnSh6m4/mwYcPuxsTEGMXFxekCQGVlJe/69eu6be3HdH89p+aKrw24DQPSTnJDMrRx1wfDMAzTeSoqKviLFi1yqqio4PP5fCoQCOp27NiRraenR3ft2pW+aNEip8rKSr5SqSSvv/56oZ+fX+1bb72V5+/vL7W3t78nlUqrq6qqHkiK2mPNmjV506ZNc5XJZOaDBw+usrKyUpiZmd3XNGhlZaXcvHlzZlhYmAullBgbGys3b96c+f7779sPHz68cvTo0XfbOs7y5ctvv/DCC85isVjG5/OxefPmLHUHfk2zZs0qX7BgAX/u3Ll3HuY87Ozs6jdv3pwVEhLieu/ePQIA7733Xq6Xl1fdw5TDdD+kPdWeHcXPz4/GxMQ8egGXdwC/LQJePw/YyDouMIZhmG6MEHKZUuqnuSw2NjbL29u7uKV9erOamhqipaVFtbW1cfLkScMFCxY4JyUlJXRVPNHR0QZLly51ZJ3Pny6xsbGW3t7egubW9ZyaK4Dr1A5wTYMsuWIYhnkqpaWl6cyYMcOtoaEB2tradPPmzVldFcvbb7/d9/vvv7favn17s/2mmKdTz6q5AoCNQwB9c2DOwY4JimEYpptjNVcM0/20VnPVrl59hJClhJB4QkgcIeQnQogeIcSCEHKCEJKq+v1kBjkTjgJungdqK57I4RiGYRiGYR5Gm8kVIcQewCIAfpRSDwB8ACEA3gLwO6VUBOB31ePOJxoDNNQDGaefyOEYhmEYhmEeRnuHYtACoE8I0QJgACAPwD8A7FCt3wFgUseH1wxHf0DXhButnWEYhmEYpptpM7milOYCWAvgJoB8AOWU0uMAbCil+apt8gFYd2agjfjagOswIFU1JAPDMAzDMEw30p5mQXNwtVQuAOwAGBJCnm/vAQghcwkhMYSQmKKiokePVJNoDFCZBxTGd0x5DMMwzEPj8/m+EolEJhKJ5MHBwa6ZmZnaEolEJpFIZJaWlt7W1tZe6se1tbXtGpwwOTlZRyQSyTWXhYeH261cudKmvXEdPHjQePjw4cKHPZ+W+Pv7u0dHRxsA3PQ5xcXFjzQ+V0cIDw+3U19XkUgk/+GHH0zVywkhvuoBSQHggw8+sCaE+KpjLy8v582ePdvZ0dHRQygUyv38/NxPnTpl2FXn0pu1p1lwFIBMSmkRpVQBYC+AAACFhBBbAFD9bnbyTUrpFkqpH6XUz8rKqmOiFo7ifrOmQYZhmC6jq6vbkJSUlJCamhqvra1Nd+zYYZGUlJSQlJSUEBYWVjRv3rxC9WP1VDBdSaFQPHYZZ86cSbO0tHxgLsMnSX1dd+/enb5gwQKBUsmFIxKJanbu3Nk48v3+/fst3NzcGkeUDw0NFZibm9dnZWXFpaWlxe/cuTPz9u3bPWtIph6iPcnVTQCDCCEGhBACYCSARAAHALyo2uZFAPs7J8RmmNgCfT2BVJZcMQzDdAeBgYFVaWlpnTp1S3x8vK5MJpOqH9+4cUNXLpdLAWDPnj0mLi4ucl9fX/c9e/aYqbcJDw+3mzVrlvOQIUNEU6ZMcUlOTtbx9fV1l8lkUplMJj1x4oQh8GBtV1hYmNOGDRv6NI3B3t7eMz8/XwsAvvrqqz5isVjm7u4umzRpkgsAbNu2zVwkEsnd3d1lfn5+7s2dx7vvvmvj4eEhFYvFsqVLl9oBXI2dq6urPCQkxFkoFMqHDBkiqqqqarW2r3///rV8Ph8FBQVaADB+/Piyw4cPmwFAQkKCjrGxcb2FhUW9+tpdvXrVcP369bl8PlfxJpPJ7oWEhJS349IzD6nNjJVSepEQsgfAFQD1AK4C2ALACMDPhJBXwCVg0zsz0AeoJ3KuLQf0TJ/ooRmGYbqVfW844naCQYeWaS2rxqSv2zUhtEKhwLFjx0zGjBnTIWPk5OTk6EokksaRoouLi7Xnz59fIJfL64yNjZXnzp3TDwgIqNm8ebPl7Nmz71RXV5MFCxYITpw4kSyXy+smTJjgqlne9evXDS5evJhkZGREKysreWfPnk0xMDCgN27c0J01a5ZrXFxc4sPGGBMTo7d27Vrb8+fPJ9na2tYXFhbyAWDNmjW2x48fT3FxcVE013y4d+9ek7S0NL3r168nUkoxatQo4ZEjR4xcXV3v3bx5Uy8qKiojICAge/z48a47d+40nz9/fklLMZw6dcqQx+NR9WTTJiYmSjs7u3uXLl3S27Nnj9m0adNKIyMjLQHg2rVrejKZrPph5j5kHl27rjKl9D0A7zVZXAeuFqtriEYDf37ODckg+0eXhcEwDPO0qqur46mToIEDB1YuXry4QwY1dXR0rNOcziY8PNxO/fecOXOKt27daunv75+zf/9+80uXLiVeu3ZNz8HBoc7T07MOAEJDQ+98++23jf1Qxo0bV2ZkZEQB4N69e+SVV15xTkhI0OfxeMjOzn6k2rZjx46ZTJw4sVSd2NjY2CgBwM/Pryo0NFQwderU0tDQ0NKm+x09etQkOjraRCaTyQBuMuukpCQ9V1fXe/b29nUBAQE1AODj41OdlZXVbGybNm2y+fnnn/sYGhoqd+7cmaE5EfWMGTNKIiMjLU6dOmUaHR2drE6umCer56awDv6Arik3FQ5LrhiGeZq1s4apo6n7XD3sfjt37jRbvXq1HQBs2bIl65lnnqlu774vvvhi6SeffGK3a9euSk9Pz+q+ffsqMzIywPVaaZ6hoWGD+u+PP/7YxtraWvHrr79mNjQ0QF9f3xcAtLW1aUND42aoq6trtUmOUgpCyAP9yH788cebp06dMjxw4IBpv3795NeuXYvv27evUnO/JUuW5C9btuy+RDQ5OVlHR0ensTw+n09ramqa7bozb968wlWrVhU2ty4kJKRs5cqVDp6entUWFhaNJ9SvX7/axMREA6VSCXWzINN52jvOVffD1wLchgNpv7MhGRiGYXqQsLCwMnVH94dJrADAwMCADh06tDw8PNxpzpw5xQCXONy6dUsnPj5eFwB27dpl0dL+5eXlfFtbWwWfz8c333zTR90Z3M3NrS4tLU2/pqaG3Llzh//nn3+atBbHuHHjKg4cOGBRUFDABwB1s2B8fLzuiBEj7n7xxRd55ubm9RkZGTqa+wUHB1dERkZalpeX8wAgMzNTOzc3t8MqOoyMjOj7779/6913383XXC6Xy+u8vLzuhoeH26mTyBs3buhGRUWZNVsQ81h6bs0VwDUNJuwDCuO4Du4MwzBMrxcWFlZy5MgR8ylTplQAXML15ZdfZk+YMEFoYWFRP3DgwKrExET95vZdsmTJ7alTp7rt27fPPDAwsFJfX78BAIRCoWLixImlUqlU7uLiUiuXy1tN+vz8/GrffPPN/KCgIAmPx6MeHh7Vv/76a9bSpUsdsrKydCmlJDAwsGLQoEE1mvtNmTKlIj4+Xm/AgAESVewNP/zwQ6aWllaH1RLMnTv3geZIAIiKisqaP3++o7Ozs4e+vn6DmZmZ8rPPPuuSWs/erudN3KypsgBY5w6MXAkEvdlx5TIMw3QjbOLm+61cudKmvLycv379+ryujoV5erU2cXPPrrky7gv09eJGa2fJFcMwTK83evRot+zsbN0zZ86kdHUsDNOSnp1cAaq7Br8AasoAfdZ0zDAM05udOHEivatjYJi29NwO7WqiMQBVAhl/dHUkDMMwDMMwvSC5svfjBhFNPdnVkTAMwzAMw/SC5IqvBbiN5OYZ1BijhGEYhmEYpiv0/OQK4PpdVRUChTe6OhKGYRiGYZ5yvSO5Eo7ifrOJnBmGYZ6IgoICvkQikUkkEpmlpaW3tbW1l/pxbW1tq6Obq/n7+7tHR0e3e07EdevWWQoEAg+hUChfs2aNVUvbhYeH2xFCfOPi4hqnj/nggw+sCSG+bR1v5syZzpcvX9ZrbZvIyEiztrZhnm49/25BADCyBmz7ccnVMxFdHQ3DMEyv17dvX6V66pvw8HA7IyMjZUtTsnQEhUKBjz/+2D4tLe2GmZlZQ2pqqk5r24tEopqdO3dafPrpp/kAsH//fgs3N7fato6ze/fu7La22bdvn1l9fX25r69vm+UxT6feUXMFcE2Dt/4GapodmJZhGIbpZPv37zeWSqUysVgsmz59uqCmpoa0tlytvr4eU6dOFYhEIrlYLJZ98MEH1s2Vr1Qqye3bt7V4PB7c3d3vtRbL+PHjyw4fPmwGAAkJCTrGxsb1FhYW9er1oaGhTh4eHlKhUChfunRp48TQmrVpBgYGPgsXLrR3d3eXeXt7S3JycrROnDhhePLkSbN///vfDhKJRBYfH68bHx+vGxQUJJLL5VJfX1/3q1ev6gHA1KlTBXPmzHH08fGRODg4eG7fvt0cAMrLy3mDBw8Wy2QyqVgslqmnoElOTtZxdZaRYLIAACAASURBVHWVh4SEOAuFQvmQIUNEVVVVBADi4uJ0AwICxO7u7jKZTCZVT/Xz7rvv2nh4eEjFYrFM8zyYrtU7aq4AQDgaiP4MSD8FeEzt6mgYhmGemHf/etcxrTSt3c1r7SE0F1Z/OOTDdk+NUltby3vttddcjh8/nuzl5VU3efJkwWeffWYVERFR1NzylStX3lbve/78eYP8/Hzt1NTUeAAoLi5+YGZhhUJB3N3da/7xj38Io6Ojk21sbJRNt9FkYmKitLOzu3fp0iW9PXv2mE2bNq00MjLSUr3+888/z7WxsVHW19cjICDA/eLFi/oDBw68b6qampoa3uDBg6u+/PLL3Hnz5jl8+eWXVp9++mn+qFGjyiZMmFD+0ksvlQLA4MGDxVu2bMn29PSsO3XqlOHrr7/udOHChRQAKCws1I6JiUm6du2a3uTJk4UvvfRSqYGBQcOhQ4fSLCwsGvLz87UGDhwomT17dhkA3Lx5Uy8qKiojICAge/z48a47d+40nz9/fsns2bNdIiIiCsLCwsqqq6uJUqkke/fuNUlLS9O7fv16IqUUo0aNEh45csQoODi4qr3PG9M5ek/NlYMfoG/OhmRgGIbpAkqlEg4ODnVeXl51ADBnzpw7f/75p3FsbKxec8s195VIJHU5OTm6L774ouOePXtMzM3NH0icFi5c6DBr1qw7CxcuLAwODhZVVlbyvv32W/PXXnvNoaWYZsyYURIZGWlx6NAh89DQ0PuaNXbs2GEhk8mkMplMlpqaqhcbG/tAHyptbW0aEhJSDgC+vr53s7OzH2iKLC8v5129etVo+vTpbhKJRDZ//nzn27dva6vXP/fcc2V8Ph++vr61d+7c0QaAhoYGsmTJEgexWCwbPny4+Pbt2zq3bt3SAgB7e/u6gICAGgDw8fGpzsrK0i0tLeUVFhbqhIWFlQHcXIrGxsYNR48eNYmOjjaRyWQyuVwuS09P10tKSmJ9wbqB3lNzxeMDbiOAtJPckAy83pM3MgzDtOZhapg6i6GhYbNj4bRn/lorKytlXFxcwv/93/+ZfPPNN9a7d++2+OWXX7I0tzl9+rTJ8uXLC93d3e/dvn1ba+LEia4GBgYNK1asKGip3JCQkLKVK1c6eHp6VltYWDTGl5SUpPPVV1/ZXL58OdHKyko5depUQW1t7QMfGlpaWpSn+izR0tJCfX39Ax31lUoljI2N69X9z5rS09NrvADqa7F582aLO3fuaN24cSNRV1eX2tvbe9bU1PAAQEdHp3F7Pp9Pa2pqeC1dQ0oplixZkr9s2bKnco7J7qx3ZSCiMcDd20BBbFdHwjAM81Spra3l5ebm6qjv0Nu5c2efoKCgyn79+tU2t1xz3/z8fC2lUok5c+aUffTRR7k3btx4oIlTLpdXb926tQ8AvPfee4VVVVX8lJQU/cDAwOqWYjIyMqLvv//+rXfffTdfc3lpaSlfX1+/wcLCQpmTk6N1+vRp04c5VyMjI2VFRQUPACwsLBocHBzubdu2zRwAGhoacP78ef3W9i8vL+dbWloqdHV16W+//Wacl5fXaud8CwuLhr59+96LjIw0A4CamhpSWVnJCw4OroiMjLQsLy/nAUBmZqZ2bm5u76k06cF6V3LlNpL7zZoGGYZhnig9Pb2GTZs2ZU2fPt1NLBbLeDweIiIiigwMDGhzyzX3zcrK0g4MDHSXSCSyl19+2WXVqlW3mpa/adOmnOvXrxsIhUK5t7e3dOTIkeXe3t53X331VcfW4po7d25p0wRs8ODBNR4eHtUikUj+wgsvCHx9fR+qj1JoaGjJhg0b+kqlUll8fLzuTz/9lLF9+3ZLd3d3mUgkkv/666+tTnT76quvlsTGxhp6eHhIo6KiLFxcXNq86zAqKirz66+/thaLxTI/Pz9JTk6O1pQpUyqmT59eMmDAAIlYLJZNnjzZrays7IH+asyTR9pTZdtR/Pz8aExMTOceZMswgK8DvHK8c4/DMAzzhBBCLlNK/TSXxcbGZnl7e7PmIIbpIrGxsZbe3t6C5tb1rporgGsavHUJqC7p6kgYhmEYhnkK9b7kSjgaoA3ckAwMwzAMwzBPWO9Lruz7A/oWbCochmEYhmG6RO9Lrnh8QDjyf0MyMAzDMAzDPEG9L7kCuKbB6mIg/1pXR8IwDMMwzFOmlyZXIwEQ1jTIMAzDMMwT1zuTK0NLru9VGkuuGIZhOgufz/eVSCQy9U9ycrLOwYMHjYcPHy7sqpj++OMPA39/f3dnZ2cPmUwmHTZsmPDvv/9udVDP5jzseWzYsKFPVlaWdttbMk+D3plcAVzT4K0Y4O6dJ3rYW6XV6LfqOA7fyG97Y4ZhmB5MV1e3ISkpKUH94+7ufq8r48nJydF6/vnn3T7++ONb2dnZcQkJCYn/+te/CpKTk3U7+9hRUVGWN2/eZMkVA6A3J1eiMQDoEx+SYf3JVJRVK7DxdHq75tRiGIbprf744w8DHx8fiVQqlfn4+EhiY2N1Aa6WZ8yYMW5BQUEiZ2dnj3nz5jVOvvzf//7XUiAQePj7+7uHhIQ4h4WFOQFAXl6e1tixY908PDykHh4e0uPHjxs2Pd7atWutZ8yYcWf06NF31cvGjh1b9cILL5QBwI8//mjq5eUlkUqlsoCAAHFOTo4WABw6dMhIXfsmlUplpaWl9302njlzxkAqlcoSEhJ0zp49azBgwAB3uVwuDQwMFGVnZ2tv377dPC4uziAsLMxVIpHIqqqqyPz58+3d3NzkYrFYNnfu3BYnl2Z6p947B5GdD2DQh2sa9Jr+RA6ZdrsSv13KxPLUI/i5fACu5cjh42T+RI7NMMzTK+/tdxzrUlMfmI/vceiKRNV2qz9udULouro6nkQikQGAo6Nj3YkTJ9I113t7e9f+/fffSdra2ti3b5/x8uXLHY4dO5YOAAkJCQaxsbEJ+vr6DUKh0CMiIqJQS0sLa9eutb1y5UqCmZlZQ0BAgFgul9cAwGuvveYYHh5eOHbs2KrU1FSdsWPHijIyMuI1j5eYmKgfFhbWYnPF6NGjq0JCQpJ4PB4+//xzy1WrVvXdunXrrXXr1vXdsGFD9pgxY+6Wl5fzDAwMGm81P3HihOGSJUucDhw4kObk5KQIDQ11PXToUJqdnV391q1bzSMiIux/+eWXrI0bN1qvXbs255lnnqkuLCzkHz582DwjIyOOx+OhuLiYTUnzlOm9yRWPx801qB6Sgdf5lXSfn0jBczcvYnhiNJwLMhD1V3+WXDEM02upmwVbWl9SUsKfOXOmS1ZWlh4hhCoUCqJeFxgYWNGnTx8lAAiFwtr09HTd27dvaw0cOLDSxsZGCQCTJ08uTUlJ0QOAv/76yyQ1NbWx71RVVRW/tLSUZ25u3uKYO15eXpKqqir+0KFDK7Zv356TmZmpM2nSJIeioiLte/fu8RwdHesAYNCgQVURERGOM2bMKJk1a1apm5tbAwCkpaXpzZ8/X3DixIkUgUCguHTpkl5qaqr+iBEjxAA3SbOVlZWi6XEtLCyUurq6DSEhIc7PPvts+cyZM8sf9toyPVvvTa4Armnwxs9A3lXAwbdTD3XjVjlOXsvB7owz4FtawrX4Fo4e+D8UT5TD0qjTm/sZhnmKtVXD1FVWrFhhP3To0MoTJ06kJycn64wYMcJdvU5HR6ex3wSfz6cKhaLVuW4ppYiJiUk0MjJqcSOpVFpz+fJlg+eff74MAK5fv560fft284MHD5oCwIIFC5wWL15cEBoaWn7w4EHjVatW2QHA6tWrCyZNmlS+f/9+04CAAOnRo0dTAMDa2lpRV1fHu3DhgoFAICinlBKhUFhz7dq1pNbOW1tbG9euXUs8cOCAya5du8w3btxofeHChZR2XjamF+i9fa4AwG0EAPJE7hr87HgypuT+Db2KUtivWwfSrz9C4w/j19MtfqljGIbp1SoqKvgODg73AGDz5s2WbW0fFBR09+LFi8ZFRUV8hUKB/fv3N1b9BwYGVnzyySfW6sfnzp174A7AN9988/bu3bv7nDhxorE/1t27dxs/5yorK/lOTk4KAPj+++/7qJfHx8fr+vv713z88ccFnp6ed+Pi4vQAwMTERHnkyJHU9957z/7gwYPGXl5etSUlJVonT540BIC6ujoSExOjBwBGRkbK8vJyPgCUl5fzVLV25Zs2bcpJTEzs0CZbpvvr3cmVYR/A3hdIPd6ph7mQcQcXEvMQkn4GBgMGwHCgPwQfvAdjRS3qt25EvZKNFM8wzNNnxYoVBe+//75D//79JUqlss3tXVxcFEuXLs0fMGCAdMiQIe5isbjG1NRUCQBbtmzJuXLliqFYLJa5ubnJv/rqK6um+zs5OdVHRkZmvP322w5OTk4ePj4+kr1795ovXrz4NgC88847ebNmzXLz9fV179OnT716v08//dRaJBLJ3d3dZfr6+g3Tpk1rbMZzdHSsP3jwYNqSJUuczp07Z7Br1670t956y8Hd3V0ml8tlZ86cMQKAsLCw4oULFzpLJBJZWVkZf9y4cSKxWCwLCgpy/+ijj7plzSLTeVqthu1ofn5+NCYm5okdDwBw+hPg9H+AZWnc+FcdjFKKaZvOQ3LuMJ6/9CucduyA4UB/AMDf4W/D4PA+FH62BSMnBnb4sRmGeToQQi5TSv00l8XGxmZ5e3sXd1VMnaW8vJxnamraoFAoMHbsWOGcOXOKw8LCyro6LoZpKjY21tLb21vQ3LreXXMFAKJR6MwhGU4l3cb1jNuYkXoaBn5+jYkVAHi/uxx39QxR/8WnbFgGhmGYdli2bJmdRCKRicViuZOTU526/xTD9CS9u0M7ANj6AAaWXNOg14wOLbqhgeKzY8mYXXwVOmV3YLlg3X3rdc3NkDvtJUijvkTqD3sgfv7JDAnBMAzTU23ZsuVWV8fAMI+r99dc8XiAcBSQ9jvQ0Hab/8P47Xoe0nNLMC3pd+j7+cJAo9ZK7ZlFLyHF3BGV6/8LZdXdZkphGIZhGKY3aVdyRQgxI4TsIYQkEUISCSGDCSEWhJAThJBU1e/uO6CTaDRQUwLkXumwIhXKBvz3RArCSmOhVXoHVm+8AULIA9tZmugjYfpcGFSWIu/Lrzrs+AzDMAzDdE/trblaD+AopVQCwBtAIoC3APxOKRUB+F31uHtyGwEQXocOyfBLzC3k3q7A5IST0Pf1hcGgQS1uGzx9FI45+aMiKgp1GRkdFgPDMAzDMN1Pm8kVIcQEwDMAvgMASuk9SmkZgH8A2KHabAeASZ0V5GMzsADs/YDUjkmuahVKbPg9Fa9W3gC/pBhWb8xvttZKrZ+jGf4eNRO1fG0UfryadW5nGIZhmF6sPTVXrgCKAGwnhFwlhHxLCDEEYEMpzQcA1W/r1grpcqLRQN4VoKrosYuKPJ+NO6VVmBB3Avr9+8Ng8OA295ky0gs73Mfg7l9/oer33x87BoZhmK7G5/N9JRKJTCQSyYODg10zMzO11RMgW1paeltbW3upH9fW1rb8DbSJmJgYvUGDBokFAoGHs7Ozx7Jly2wbGjp3vMDw8HA7dbzOzs4eY8aMcbt8+bJeS9svWbLEbt++fcadFc+PP/5o6ubmJheJRPKFCxfat7Tdhg0b+pibm3tLJBKZUCiUjxs3zrWysrJD+lNnZWVpjxs3zrUjynratOcJ0ALQH8BGSqkPgLt4iCZAQshcQkgMISSmqOjxE5tHJhrN/U5/vMSmslaBb06nYX5NAnjFt2HZRq2V2gQvW/wlH4piKwcU/mcNGmprHysOhmGYrqaeWzA1NTVeW1ub7tixwyIpKSkhKSkpISwsrGjevHmF6sd6enrtqrKvqqoikydPFi5fvrwgKysrLi4uLuHixYtGn3zyyQODhnY0dbzZ2dlx06dPLxk7dqx7Xl7eA3fV19fX44svvsibNGlSZWfFsmLFCsdDhw6lpqamxr/xxhutfnhOnDixNCkpKSEtLS1eW1ubbtu27bH7QCsUCggEAsXRo0dZX5ZH0J7k6haAW5TSi6rHe8AlW4WEEFsAUP2+3dzOlNItlFI/SqmflVWn/2+0rK83YGj12E2D357NRFVlDcbGHoW+jw8MAwLatZ+eNh8zBrlgrfsEKHJzcefb7x4rDoZhmO4kMDCwKi0t7bEnUt26dWsfPz+/qilTplQAgLGxccPGjRtvrl+/3hbgapgmTZrkMmjQILGzs7PHunXrGkeHfvfdd208PDykYrFYtnTpUjsASE5O1nF1dZWHhIQ4C4VC+ZAhQ0RVVVVtfiP+5z//WRoUFFT+3XffWQCAvb29Z0REhK2vr6/7tm3bzKdOnSrYvn27+c8//2wyfvz4xtqdgwcPGo8YMUIIAHv37jXp16+fRCaTSYODg13Ly8t5ADB//nx7Nzc3uVgsls2dO9ehueNra2vTrKwsHQCQSCT32nPtFAoFqqureRYWFkoAyMvL0xo7dqybh4eH1MPDQ3r8+HFDAPjjjz8MfHx8JFKpVObj4yOJjY3VBbhasODgYNcRI0YIg4KCxMnJyToikUiuXjdmzBi3oKAgkbOzs8e8efMa4/7vf/9rKRAIPPz9/d1DQkKcw8LCnABg27Zt5uqR7/38/NwfjLj3anOcK0ppASEkhxDiTilNBjASQILq50UAa1S/93dqpI9LPSRDylFuSAYe/6GLKLl7D9+ezcCS+mSQotuw/M/qdtVaqYUOdMLmM0Lk+gSCbN0K00mToOPQYm0vwzBMu/y+M9GxJLeqQ+evs7A3qh4ZJm3XtC0KhQLHjh0zGTNmTMXjHjc+Pl6vf//+1ZrL5HJ5XXV1Na+kpIQHAImJifqXL19OrKys5Pv4+MimTp1afuXKFf20tDS969evJ1JKMWrUKOGRI0eMXF1d7928eVMvKioqIyAgIHv8+PGuO3fuNJ8/f35JW7H4+PhUJyUlNTYN6unpNVy+fDkZAI4dO2YKAJMnT65YvHixc0VFBc/ExKThp59+Mp82bVpJfn6+1urVq22jo6NTTExMGt55552+H374oc2yZctuHz582DwjIyOOx+OhuLj4gQ8jpVIJoVBY+9prrwmOHTuW0lZy9dtvv5lLJBKjoqIibYFAUDtr1qwyAHjttdccw8PDC8eOHVuVmpqqM3bsWFFGRka8t7d37d9//52kra2Nffv2GS9fvtzh2LFj6QBw5coVo+vXr8fb2Ngok5OTdTSPk5CQYBAbG5ugr6/fIBQKPSIiIgq1tLSwdu1a2ytXriSYmZk1BAQEiOVyeQ0ArFmzxvb48eMpLi4uiubOszdrb7vsQgA/EEKuA+gHYDW4pGo0ISQVwGjV4+5NNBqoKQVyLz/S7t/8kQZFXR1GXD4M/X79YDikfbVWag7mBhgptcEngtEAj4fbn3zySHEwDMN0B3V1dTyJRCLz9PSUOTg43Fu8ePFjT8dDKSUtfWlVLw8ODi4zMjKitra29YMHD644e/as4dGjR02io6NNZDKZTC6Xy9LT0/XUiZG9vX1dQEBADcAlTFlZWe2qYWt681FYWFhp0220tbUxbNiwil27dpkqFAqcOnXKdNasWWWnT582TE9P1/P395dIJBLZrl27+ty8eVPHwsJCqaur2xASEuK8Y8cOMyMjowc6k61evdpaKpXWrF+/PnvixImivLw8rT/++MMgODi42f5P6mbBoqKiWKlUWrNy5cq+APDXX3+ZLF682EkikcgmTpworKqq4peWlvJKSkr448ePdxOJRPLly5c7pqSkNCaQQUFBFTY2Ns0OChkYGFjRp08fpYGBARUKhbXp6em6Z8+eNRw4cGCljY2NUldXl06ePLnxGvn5+VWFhoYK1q1bZ1lfX99ckb1Wu0Zop5ReA+DXzKqRHRtOJ3Mdzg3JkHoccHxwwM/W5JfXYOeFbCyjacDtQlh+/NFD1VqphQ12xgsJhbj9XAjo7u2o+usvGA0Z8tDlMAzDqLW3hqmjqftcPex+O3fuNFu9erUdAGzZsiXrmWeeaaypksvlNWfPnjXS3D4hIUHHwMCgwdzcvAHAA++9hBBQSrFkyZL8ZcuW3ZfgJScn6+jo6DRmSXw+n9bU1LSrYuHatWsGvr6+jbEZGxs326s+JCSk5Ouvv7a2tLRUenl5VZubmzdQShEYGFjx22+/ZTZTbuKBAwdMdu3aZb5x40brCxcupGiuP3nypMmyZcsKJ0yYUFlcXJw3duxYkY+Pz90ZM2Y8kNxp4vF4eO6558q+/vpra4BLDmNiYhKNjIzuyxJfffVVp6FDh1aeOHEiPTk5WWfEiBGNTXYGBgYt3jnQ9DoqFIpW5yf+8ccfb546dcrwwIEDpv369ZNfu3Ytvm/fvh07mnc31ftHaNdkYAE4+D9Sv6sNv6eCr1Qg6OJB6Hl7wTDw0RKiIW6WcLUyxPo+/tB2duKGZrjXruZ0hmGYXiEsLKxM3dFdM7ECgLlz5965dOmSsfpOvKqqKvLGG284LVy4sEC9zZEjR8yqq6tJQUEB/8KFC8aBgYF3g4ODKyIjIy3V/ZoyMzO1c3NzH3mKt++//97s7Nmzpi+//HKbzYfPPvtsZXx8vMHWrVstp0+fXgIAw4YNuxsTE2MUFxenCwCVlZW869ev65aXl/NKSkr4M2fOLN+0aVNOYmLiA825Xl5eNZGRkRZKpRKvvvpqqYuLS+3+/fstpk+f3uY8i2fPnjUWCAR1AFfT9MknnzTeyX/u3Dl9AKioqOA7ODjcA4DNmzdbNl9S+wQFBd29ePGicVFREV+hUGD//v2Nnenj4+N1R4wYcfeLL77IMzc3r8/IyNBpraze5OlKrgBuIuf8a0BVs/3vm5VRVIWfY27hXyQDtLAAVgsWPFKtFQDweARhg5xxOe8uav65CPcyMlAS9cMjlcUwDNPbGBkZ0b1796atXr3aTiAQeMhkMnn//v3v/utf/2p80/bx8bk7cuRI0cCBA6URERH5AoFAMWXKlIrp06eXDBgwQCIWi2WTJ092Kysre6h+Pps2bbJRD8Xwww8/9Dl27FiynZ1dm+1ZWlpaGDlyZPmZM2dMZ86cWQ4AdnZ29Zs3b84KCQlxFYvFMl9fX8mNGzf0ysrK+OPGjROJxWJZUFCQ+0cfffRArePq1avzKaUQi8VyuVwutba2Vjz//PNFkydPdlUqH6z4UfW5konFYtn169f1V69enQ8AW7Zsybly5YqhWCyWubm5yb/66isrAFixYkXB+++/79C/f39Jc+U9DBcXF8XSpUvzBwwYIB0yZIi7WCyuMTU1VQLA0qVLHcRisUwkEskHDRpUOWjQoJrHOlgP0mqVXkfz8/OjMTExT+x4zcq7BmwZCkzaCPSb3a5dFv50FafjcrHn3OfQsbKCYPeuR06uAKCiVoFBq3/HeE9bLD65EdWXLsH16BFoW3fvocIYpttQv289xv9hT0IIuUwpva9rRmxsbJa3t/dj93HqacLDw+2MjIyUq1atKuzqWBhOeXk5z9TUtEGhUGDs2LHCOXPmFIeFhbVZy9bTxcbGWnp7ewuaW/f01Vz19QKMbNrdNBifV47fYvPwb60MNOTnw2pB83MIPgwTPW1M6W+PA7F50F0aAapQoGjduscqk2GeKnv/CeyY+L8ki2GYLrNs2TI7Vc2Z3MnJqe7555/v9YlVWx65PbrHUg/JkHQIUNYD/NYvwbrjKTDXIfA5ux/anp4wDArqkDDCBgsQdeEm9hYSTHn5ZdzZvBlmM2fCoH//DimfYXqt24nAjV+4v29deuibU5ie7fPPP8/r6hiY+23ZsuVWV8fQ3Tx9NVcAl1zVlgG5rTdRxmSV4FTSbazUzYIyL69Daq3UxDbGGORqgcjz2TD/5z+h1bcvCj78CPQx278Zptf78wtA2xDQMwXOf93V0TAMwzzg6Uyu3IYDhN9q0yClFJ8eTYaNgRbkv++FnocHDJ95pkPDeHGwALllNThzswo2K5ajLjERZb/80qHHYJhepTSbq7XyncP9JB4Aym52dVQMwzD3eTqTK31zrikh9XiLm5xJKcLfWSV4TzcLyrxcWHZgrZXaaJkN+proYcf5LBiPGweDgQNR9N8vUF/a6lAmDPP0OvclN1bd4DcA/7kACPD3lq6OimEY5j5PZ3IFcKO1F1wHKh+84aShgeKzY8lwNtWB6MQe6Hl4wGjo0A4PQYvPQ+hAJ5xNLUZm8V3YvPM2lFVVKFq/vsOPxTA9XtVt4Gok4B0CmNoDpg6A7B/A5Z1AXVVXR8cwDNPo6U2uhKO532knH1h1JK4A8XkVeFc3G/W3bsFy/vwOr7VSC/F3gjafIPJCNvTEYpiHzkbZ7p9Rm/DQgx4zTO924Rugvg4YsuR/ywa/AdSVA9d+7Lq4nmJ8Pt9XIpHIRCKRPDg42DUzM1NbIpHIJBKJzNLS0tva2tpL/bi2trZdb6LJyck6enp6/SUSiczNzU0+e/Zsp8cdi6mjbdiwoU9WVpa2+vHMmTOdL1++rNfaPp1tz549Jp6enlIXFxe5RCKRPfvss66pqak6ADB16lSBvr6+T2lpaeNn/ksvveRICPHNz8/XAv73XAqFQrm7u7vs/ffft+lu170neXqTq76egFHfB5oG65UNWHciGe6W+hAc+Rl6MhmMhg/rtDCsjHUx3tMWe2Ju4W5dPawWLADf3Jzr3M5uM2cYTm05cOk7rqbKUvi/5Q5+gMMA4OJGoKHFWTuYTqKe/iY1NTVeW1ub7tixw0I98npYWFjRvHnzCtWP9fT02v2G5ujoWKfaLz4lJUU/KirKrDPP42FFRUVZ3rx5szG52r17d7avr29tV8Vz6dIlvTfffNNpx44dmZmZmfFJSUkJs2fPvpOWltY4Irqjo2PdTz/9ZAZwE0P/9ddfxtbW1gr1evVzmZaWFn/q1KmU48ePm0ZERNh1xfn0Bk9vckUIN1p7xh/ckAwqe6/kIqPoLv6texOKnJxO6WvVVNhgASrr6vF/V3PBNzGB9ZvhqLl6FRUH6lgKfAAAIABJREFUDnTqcRmmx7j0LVBXAQSFP7hu0HygJANIOfrk42IaBQYGVqWlpbVrQuT20tbWhr+/f1Vqaqruhg0b+owZM8YtKChI5Ozs7DFv3jwH9XZ79+416devn0Qmk0mDg4Nd1VPg2Nvbe6prZqKjow38/f3dAW4g0ilTpgiGDBkisre399yxY4fZvHnzHFSjpovq6uoIAERERNh6eHhIRSKRfNasWc4NDQ3Yvn27eVxcnEFYWJirRCKRVVVVEX9/f/fo6GgDgKtBkslkUnd3d9ngwYPFAHDo0CEjdQ2eVCqVadYgqX3zzTcWnp6eUolEIps9e7azeqJjAwMDn4ULF9q7u7vLvL29JTk5OQ+MH/Txxx/bhoeH5/fv378xwQsNDS0PDg5ubC+fOnVqyZ49eyxU8RgPGDCgSktLq9mE197evv7bb7/N2r59u3UD+9LySJ6+ca40CUcDV6O4sXKcB6OuXokvTqbAx84Itr+tB08mhdHw4Z0eRn8nM8jtTBB5PhuhA51gOnkySnf/jMK1a2E0ciT4RkZtF8IwvZWiBriwEXAbCdh6P7he+hxg4sA1G0rGP/n4uoFjG79wLM7JfmCOusdh6ehcPfb1Je2aEFqhUODYsWMmY8aMqejIGCorK3nR0dEmK1euzC0oKNBOSEgwiI2NTdDX128QCoUeERERhYaGhnT16tW20dHRKSYmJg3vvPNO3w8//NBm7dq1+a2VnZ2drXvu3LmUK1eu6I0YMUKyY8eO9E2bNt0aPXq0288//2z6wgsvlC1btuy2upxJkya57Nq1y/Sll14q3bhxo/XatWtzms6LmJeXp7VgwQLB6dOnkyQSyb3CwkI+AKxbt67vhg0bsseMGXO3vLyc13Ry5CtXrujt2bPHIiYmJklXV5c+//zzTps2beqzYMGCOzU1NbzBgwdXffnll7nz5s1z+PLLL60+/fTT+84tJSVFb8WKFQVohVgsrjt8+LBZUVER/8cff7R44YUX7pw+fdq0pe1lMtm9hoYG5Obmajk6OrY5BRBzv6e35goAXIephmTgmgZ/uHATeeW1eFvnJhQ3c2D1RufXWgHcjO4vDhYgubASFzNLQHg89H3331AW30HxNxs7/fgM061djQLuFgFBbza/nq8FDJwLZJ0F8q8/2diecnV1dTyJRCLz9PSUOTg43Fu8eHGHTMeTk5OjK5FIZP7+/pIxY8aUz5gxowLgJiLu06eP0sDAgAqFwtr09HTd06dPG6anp+v5+/tLJBKJbNeuXX1u3rzZ5gTBo0aNKtfV1aX+/v41SqWSTJs2rQIA5HJ5TWZmpg4AHDlyxNjLy0siFotl586dM46Li9NvrczTp08b+vv7V0okknsAYGNjowSAQYMGVUVERDh+9NFH1sXFxXxtbe379jt69KhxXFycgbe3t1Qikcj+/PNPk4yMDF0A0NbWpiEhIeUA4Ovrezc7O7vVcysoKOBLJBKZQCDwWLlypY3muokTJ5Zu27bN4sqVK4bjxo1r8y4Q1jXl0T3dNVf6ZoDTICDtBO4GvYOv/0jDEBczmO/dAJ5UCqMRI55YKM/1s8PqI4mIPJ+NQa59oO/pCdOpU1CycyfMpk6BrpvbE4uFYboNpQL4awPgOBBwDmh5u/5hwOlPuBquyU/fF5L21jB1NHU/nYfdb+fOnWarV6+2A4AtW7ZkNa0BUve5arqfjo5O46c9n8//f/bOOyyK6+vj39lG772DsMvuAgKCFBWxIhg1KliiCJZYY4k9ltcYo8aGGgtqorHFTlQUfxawoIKC9CZFFESQ3mEpuzvvHyvGQhcE436eh2dl5pZzx2XmzDnnnkPW19cTJEmiX79+5VevXn3xYXsqlUo2uLV4PN57xgQJCQnyTRvQaDSSQhGdplAo4PP5RHV1NbF06VKDsLCwJBMTk/olS5Zo19TUNGuQIEmy0RfyzZs3544ePbrM399foU+fPpwbN26kWltb17zTjxg3blzR/v37sz/s+65sNBoNfD7/owlYLFZNeHi4tKOjI09TU1OQnJyctG7dOo3Kysr3Cld7e3uX2NnZcTw8PIqo1OZrWiclJTGoVCp0dHTEVqt28HVbrgBRtvbceJy7HY6iqjqsoGWiPvMl1H7ovB2CjSFJp2K8rR5uJOYit0z0N6e+ZAko0tLI27RZ/AYh5usk4R+g7CXQb0nzRZqllESF2BP8Gk2vIqZ74eXlVdoQ6P6hYtVWBgwYUBURESGbkJAgAYhciXFxcRIAoKurWxcSEiINAOfPn1dqy7jV1dUUANDU1OSXlZVRrl69+ra/rKysoKys7CPtZODAgVVhYWFyycnJDABocAsmJiZK2NnZ8TZt2pRrYWFRlZCQ8N7OQldX1/KAgACl7OxsWkO/1NTUFq1vDaxevTrXx8dHKyoq6u24DfK/C5PJrFu9enX2jz/+WNDceDk5ObSZM2caTJs2Lb9BsRPTNsRXjSlKyfAizB8ubFXInj8BCQ4HsoMHf3ZRPO0NICRJnA7LBADQlJWhtmABqkJDURH0ccoIMWL+0wiFwMNdgLoZwBrWcnuHuSJLV8SRzpdNTLdBW1ubf+jQoYyJEyf2YLFYXBsbG3Z8fLwkAKxbty5nxYoV+jY2NqZUKrVNb6iqqqqCyZMnF3C5XDM3NzcTS0vLqoZzXl5ehQsWLDBoCGh/V5Y9e/ZkjBkzxsTU1JQ7ZsyYHgCwbds2dSaTaWZqasqVkpISenh4lL07l42NTc3atWuzBw8ezGKxWNxBgwaxsrKy3vcdNoOdnR1v27ZtWV5eXkZGRkZmvXr1YqekpEhOnTq16MO2y5cvLzQzM6v98HiDi9fExMRs4MCBrMGDB5fv2LFDXMexnRCf0yJia2tLRkQ0X8/vs0OSqNjMxIMaI/Rgfg9y83ro7N0D+aFDu0Sc6ceeIO5VGUJ/GgQGjQKSz8eLse4QVlaix7UAUKSadfmLEfPfIfkacHYSMPYw0HNc6/qcnijaoLI4EaB3adqhDoUgiEiSJG3fPRYbG5thaWnZITFOYsSIaTuxsbGqlpaWho2d++otV3kVtbhRa44B1ETQTx+FhKkp5LrAatWAl6MBCitrcT1BtBmEoNGgsXYN6nNyUHRY/EYu5iuBJIEHOwElQ8BsTOv7OcwFqgtF9QfFiBEjpov46pWrvXfScFdghfoMIeoyMqH6wzwQXehj7s9Ug6GKNE4+ynx7TMbODvLDh6Po8GHUvXrVZbKJEfPZyHgAZEcAfRaKdgO2FqP+gIa5KLBdHKcoRoyYLuKrVq5eFlXjbHgWtKxcUJgkBwltBcgNGdKlMlEoBDwdDBCRWYKE7H/d8uorlgMUCvK2bOlC6cSI+Uw82AnIagBWk9vWjyBE1qv8ROBFcOfIJkaMGDEt8FUrV7uCUkGjEvAm81BXToOqlaBLrVYNjLPRgxSd+p71iq6pCdW5c1EZdBuVD0O6UDoxYjqZnGhR5QSHee2LmzL3AGTUgEe+HS+bGDFixLSCrtckuoiU3ApcjsmGt4Me6o/+CQkdZcjJpQLlXb85QkGajtHWOvCPzUZpdd3b48pTvcEwMEDepk0g6+qaGUGMmC+YBzsBSQXAdnr7+tMlgd7fA2k3gcJnHSubGDFixLSCr1a52nErBbIMGrxr0lH34gVUZ00TpdFJC+xq0QCIAttr6oW4EPFvjBWFwYDG6lWoe/ECxSdPdqF0XQNJkgjNCUVpTWlXiyKmsyhIBZ5eBXrPBCTl2z+O7XSAyhAVdBYjRoyYz8xXqVxFvyxBYFIeZvUzAO/IH5BgMiHnMQ2Q0waedQ/liqMlDztDZZx8nAmh8N/AXFlnZ8gOHIjC/b6oz8vvQgk/P5efXcbswNlw+ccF259sR16VOFnkf46Q3QBNUhQ39SnIqgMW44GY00B1ccfIJuYjqFSqTUNBYjabzU1JSWEAwN27d6VtbW1NDQ0NzY2MjMwmTJhgUFFR0arnTUBAgJyVlRX73WP19fVQUVGxzMzMbDT3U0BAgNzAgQNNPn1FrSMkJESKIAibf/75p8U3gD179qhkZGS0OmfVh4SGhkqdO3euyRqAnwKPxyOGDBlizGKxuBwOh5uUlNRk4lIdHR0LFovFNTU15fbt25f58uVLWsPxhuLYbeHD6zJhwgSDyMjIVsUBBAQEyMnJyVlxOBxujx49zJYuXaoFANu2bVPbt2+fSnN9T506pbB69WrNtsrbVr5K5Wr7zRSoyDAwoSoNdc+fi3YIUqmihKLp90SJCLsBUxwN8LK4GsGp7yfT1Vj1E0g+H/k7dnSRZJ+f3KpcbHuyDVZqVhiiPwSnnp6C20U3rA9dj5flL7tavEYhSRJCoaCrxfhyKM0C4s6JStnIqH76eA5zgfpqIOrEp48lplEayt80/JiamtZlZWXRJk+ebLxly5ZXGRkZCenp6Ymurq7lpaWlrXreuLm5VeTm5jIaFDUA8Pf3l2exWDwDA4NucXM+efKkSq9evSpPnz6t3FLbv//+W/Xly5ftVq4iIiKkr1271iblqr6+dZfpr7/+UpKXlxekpqYm3b9/P0VdXb3ZG1ZwcHBqSkpKkrW1dfW6deu02iLTh3x4Xc6dO5dpY2NT01yfd7G1ta18+vRpUkxMzFM/Pz+VBw8eSK9YsaJg/vz5HyVOfZfJkyeXbd68udki1x3BV6dchTwrRGh6EX5wNkLFn4cgwTSBnIuL6CRzKFBXAbx83LVCvmGYmSbU5SRw/FHGe8cZ+vpQnj4N5Vevojoysktk+5yQJIl1IesgIAXY7LQZm502I2BMAMYyx+Jq+lWMvDwSK+6vQEpxSleL+h439u/E6TXLwG/lje6r59E+0WefBR0znqa5KDVD+B/d5oXpa8DHx0d9/PjxRUOGDKkCRLX6pk2bVqKnp9eqGnVUKhUjRowoPnHixFvF5cyZM8rjxo0rvnv3rrS1tTWbw+Fwra2t2bGxsRLv9hUIBNDR0bEoLCx8W5pGX1/fPCsri5aTk0MbNmyYsbm5Ocfc3Jxz69YtGQC4du2abIPljcPhcEtKSpp9LgqFQgQEBCidOHEi48GDB/LV1dVvM7SvXbtWo8G6M2/ePJ2jR48qJSQkSHt5efVoyOb+rqXn/v370nZ2dqaAyNr34dpqamqI3377Tfvq1atKbDab++effyrl5eVRG6xNlpaW7LCwMCkAWLJkifZ3331n0LdvX+bYsWONIiIiJC0sLDhsNpvLYrG48fHxEh+uhcFgkLm5uQyhUAg1NTWBqqpqq94GBwwYUPHixYuPxhsyZIixmZkZx8TExGzHjh2qAMDn8+Hu7m7IZDLNWCwW95dfflFv7LrY2dmZ3r9/XxoA/Pz85LlcLsfU1JTr6OjIak4WeXl5oYWFRXVKSorEkiVLtBuKVdvZ2ZlOnz5dz9rams1kMs3u3r0rDYgsZl5eXvoA4O7ubjh16lQ9a2trtq6ursXRo0eVANH3yNPTU/9NtnoTZ2dnk4ZzreWrKtxMkiS23UyBtoIkRpUloyA9HTo7ff7dIWjkDFDoItegkVPXCguAQaNgkr0+fr+dhozCKhiqyrw9pzprFsr8ryD3140w+sdPZHn7j3Ih9QIevX6EtfZroSenBwDQldPFWoe1mN1zNk4mncS5lHO4/uI6nHWd8b3F97BSt+pSmdMjw5H04C4AIPzyBfQZN6lL5en2VBUCkcdFrjxFvY4b1+EH4MwEIMkfsPDouHG7GcV+qXr1uVXSHTkmXVOmWtmD1WxB6IaSKYCo2HJgYGB6UlKSlJeXV7PWg5aYMmVK8Zw5cww3bdqUy+PxiLt37yocPHgwi0qlkuHh4cl0Oh2XL1+WW7Fihe7NmzfTG/pRqVS4uLiUnjp1SnHRokVFd+7ckdHV1a3T09Pjjxw50mjJkiV5w4YNq0xLS2MMGzaM+fz580QfHx/NPXv2ZLq4uFSVlZVRpKWlhc3JFhgYKKunp1drZmZWa29vX3HhwgUFb2/v0vPnz8tfu3ZNKTIyMllOTk6Yl5dH1dDQEBw4cEB9x44dWS3VULS0tKxpbG2rVq3KiYiIkDlx4sRLAPD29taztLSsDgoKSr9y5Yqct7e3UUOR67i4OOmwsLBkWVlZ0tvbW2/evHl5c+fOLa6pqSH4/I91WxaLVZuQkCA9f/58HV9f34+KRjfFlStXFLlcLu/D46dOncrQ0NAQVFZWEtbW1lxPT8+StLQ0idevX9PT0tISAaCwsJCqqqra5HXJycmhzZ8/3/DevXvJbDa7rqE+Y1Pk5uZSo6OjZdavX5+TlJT0XgmT6upqSnR0dPL169dlZ82aZdQgw7vk5eXRIyIikmNiYiTHjBljMm3atJITJ04oZWVlMVJSUhKzs7Np5ubm5o2VEmqOr8pydSspD7FZpfhxkAnKDh0Ew8QYcsPeqVkmKQ/oOwBp3aeO3yQ7fVAJAn8/znzvOEVaGhorV6A2ORkl5851kXSdT1ZFFnZE7ICDlgPGm47/6LyatBqW2C7BLY9b+MHqB8QUxGDK9SmYfnM6QrNDu6TgdX1tDe4cPQRlHT2wHPoh/PJ5FGU3+4wSE3YQ4NcA/X7s2HGZLoCysSipqJgO5123YGBgYHrLPVqHs7NzdXV1NSU2NlbCz89PwcrKqkpNTU1QXFxMHT58uDGTyTRbsWKFXmpq6kcxOpMmTSr28/NTBoBTp04pu7u7FwNASEiI/KJFi/TZbDZ35MiRJpWVldSSkhKKg4ND5bJly/Q2btyoXlhYSKXTm/fg/f3338oeHh7FADBx4sTis2fPKgNAYGCgvKenZ6GcnJwQADQ0NNoUE9CatQFAeHi43IwZM4oAYNSoURWlpaW0oqIiKgC4urqWysrKkgDg6OhY5ePjo7VmzRrNtLQ0RsPxBiorK4kZM2YYxcXFJcbHx0tv2LBBHQCcnZ1NIiIiGp3b2dmZxWazuRUVFZRff/31I9fa1q1bNUxNTbk2Njac3NxcemJioiSbza7NysqS8Pb21vPz85NXUlJq9rrcu3dPxs7OroLNZtcBTV/HiIgIWQ6Hwx08eDBr0aJFuba2th+5FCdNmlQMAG5ubpWVlZWUdy2aDYwaNaqUSqXCxsampqioiA4ADx48kB07dmwJlUqFvr4+38HBoaI5mRvjq7FcCYQkdtxMQQ81GQwtTETus3Ro++z42OLDHAoErgPKXgEKul0j7Duoy0vC1VwT5yOysNTFFFKMf+WVGzYM0vb2KPh9D+Td3EBTapPVstsjJIVYF7IOVIKKDX02gCCIJtsqSChgjuUceHG94Jfqh+OJxzE7aDa4KlzMtJiJQfqDQCE+z7tE+OULKC/Iw/h1m6Gso4fM+GgE/bkf49dt7hZ51LodNeUi1x1nBKBm2rFjUyii2Kv/LQOywgE9u44dv5vQkoXpc8LhcHgRERHSnp6ezW7r9fDwMExISJDW0NCoCw4O/ihnxujRo4tPnDihnJKSIjVhwoRiAFi5cqWOs7NzRWBgYHpKSgpj0KBBH31hBg8eXDVjxgyJnJwc2o0bNxQ3bdqUA4g8FxEREU8/VDI2b96cO3r06DJ/f3+FPn36cG7cuJFqbW3daOwPn8/H9evXlQIDAxV37typRZIkSktLaSUlJRSSJJu9RzVApVJJoVBkHOPxeG9vCK1ZW8M6PoQgCBIAZGRk3lrd5syZU+zk5FR16dIlBTc3N5avr2/GqFGj3ioJT548kVJWVuYbGhrWX7t2Lb1///4sgiBQXl5O69WrV6PrDw4OTtXS0mrUvRsQECAXHBwsFxERkSwnJye0s7Mz5fF4FDU1NUFCQkLSpUuX5H19fdXPnTunfOHChYymrk9rr6OtrW3l3bt3m8218uE4jY0rKSn59oI2XNuOeCn/au70/jHZSMuvxNLBTJQcPACGsTHkXV0/bsh8E3/1rPtYr7wcDVFew4d/zPtWW4IgoLl2DYSVlSjY/XsXSdd5nH56GhF5EVjRewW0ZFsXOylNl4aXmReuu1/Hesf1qKirwOJ7izHGfwyupF9BvbBzY2+Kc17hyZV/wHEaCD2znpBRVEL/ydPx6mkCEu51n+9UtyLyKFBTBvRb0jnjW34nypv1WJxU9HOwbNmy/PPnz6vcuXPnbRyDr6+vcsPusgb8/PwykpOTkxpTrADAy8ur2M/PTyU0NFTuu+++KwWA8vJyqq6ubh0AHDp0qNFdDxQKBW5ubqXz5s3TMzEx4WlqagoAoF+/fuVbt25Vb2gXGhoqBQCJiYkSdnZ2vE2bNuVaWFhUJSQkSAKAkZGR2Ydj+/v7y7PZ7Orc3Ny47Ozs+JycnHhXV9eS06dPK7q6upafPHlStWFXZIM7S1ZWVlBWVvb2rVhXV7cuJCREGgDOnz//9o24qbXJy8sLKisr3z6rHRwcKo4ePaoCiBQaJSUlvrKy8keuzKSkJAaHw6ldu3ZtvouLS2lMTMx7LjNzc/Pa58+fS0ZEREjKy8sLjxw5krFhwwZdNze3Uko7XgJLS0upCgoKAjk5OWF0dLRkbGysDAC8fv2aJhAIMHXq1NKNGzdmx8fHSzd2XRoYOHBgVVhYmFxycjLj3evYHs6cOaMEADdv3pSVk5MTqKiotMqa6OTkVHn58mUlgUCArKwsWlhYmFxb5/4qlKs6vhC7glJhpi2PfjlxqE17BtW5cxuPU1JjA/K63SbfFQD0NlQCW1MOxx9lfqRRSzCZUPacjNLz58FL+Mid/MWSUZaB36N+h5OOE0abjG5zfwaVAXeWO66MvoJt/beBSqFizcM1GHFxBM4kn0ENv9WbUloNSZK4feQAaAwJOHv+mwDTYuBQ6HLMcf/vv1BVWtLh837R1NcAj/YDPQYAOr06Zw4JWaCXN5B0RbQjUUynoqenxz9x4sTz5cuX6xoaGpr36NHD7OHDh3JKSkrNxjJ9iI2NTY2kpKSwT58+FfLy8kIAWLlyZe769et1e/XqxRYImn5OTp48udjf31/Zw8Pj7R/cH3/8kRUVFSXDYrG4xsbGZvv27VMDgG3btqkzmUwzU1NTrpSUlNDDw6Ps9evXNJIkPzJznD59WnnUqFHvWeTc3d1Lzp07p+Lh4VHu5uZWamVlxWGz2dxff/1VEwC8vLwKFyxYYNAQuL1u3bqcFStW6NvY2JhSqdS3N/Sm1ubm5laRmpoq1RDQvnXr1pyoqChpFovFXbNmjc6xY8deNHYNTp48qcxisczYbDY3LS1Ncvbs2e/FDKmpqQkOHTr0wsvLy4jD4XDnzp1rcOjQoRd///23amBgoExjYzaHu7t7GZ/PJ1gsFnf16tXalpaWVQCQkZFB79evnymbzeZOnz7daMOGDa8auy4N42hra/P37NmTMWbMGBNTU1PumDFjerRVlgaUlJQE1tbW7Pnz5xscOnQoo7X9vL29S7S0tOpYLJbZtGnTDCwtLasUFRXb5OYlPmdMiq2tLRkREfHZ5mvgxKMMrPNPxDFvG+ivmAVSIECPq1eaDgK/ugiI9wNWvABoTab9+KycCX+JVRfj4TfHEbaG7+/+FVRUIN3VDQw9PRicPvXFu54EQgG8b3jjRdkLXPr2EtSl1Vvu1AIkSeL+q/v4M/5PxBbEQllSGV5cL0wwnQBZhmwHSA0khwTj2p7tGDx9LqyGffPeuaLsLJxcsQBM+774ZuHyDpnvP0HEX0DAYsDrCtDDufPmKXsF7O4JOM4DXDZ23jydBEEQkSRJ2r57LDY2NsPS0rKwq2T6L3PmzBmF9PR0ibVr135dyQT/Q9jZ2Zm2ZiNBU5SVlVEUFBSEubm51N69e3NCQkKS9fX133OJxsbGqlpaWho21v/Lfgq3guo6PvbcfgY7Q2VYZ8agNi2taatVA0wXoK4SyOoeKRkA4FsrbchJ0nD8UeZH56hyclBfuhS8mBiUXbnSBdJ1LMeTjiO2IBar7Fd1iGIFiFyoznrOOOl2En8N+wtsZTZ2R+2Gi58L9kbvRXHNpyWarK2uwr0Th6HRwwQ9h37sblbR0YPd6PFIDgnGi5j/fvqMViHgAyG/Azo2opQJnYmCLsD9Fog8AdRWdu5cYr54vvvuuzKxYvV1M3ToUCabzeb27duXvXz58tcfKlYt8cUoV+3NFXQsNAOFlbVY7sJEke8BMIyMID/crflORv1FKRnSbrVrzs5AmkHDeFs9XI9/jfzyj11aCqO/hZSlJfJ3+EBQ0eaNDd2GZyXPsC96HwbrD8Y3Rt+03KGNEASB3pq9cWjoIZz95izstezxR9wfGOY3DFvDtyK3qn255ULPn0JVWSmGzJgHCqVxxd1u9Dgoa+si6LAv6ms63i35xZF0GSjJEMVatSKA9ZNxmAfUlomytosRI+Y/TXh4eEp7rVYN/ZOTk5PS09MTFy5c2ObUIl+EchVy7iTO/N+yNme7LuPV4+C9dAw0VYNpWhRqU1OhOq8FqxUASMgBBo7dKiUDAHg6GIAvJHEm/OO4EYJCgcbatRAUFaFw/5cZuFsvrMeakDWQpcvi/xz+r1U7Rj4FM1Uz7Bq4C/7f+sPF0AVnks/A7aIbfg79GZnlH1sImyI/4zmibwTAcogbNE2azndHo9MxdOZ8lBfkIdTvK3/AkyTwcJcoxtF0+OeZU683oNtbVG9Q2KbwHzFixIhpE1+EcqWqb4j8F+mIC7rZpn5/3E9HeQ0fy4YyUejrC4ahIeSHt/JGznQBCp52qwBYI1UZOLPUcCosE/WCjx8OUhbmUPTwQPHff6P2WbM7VLslR+KPIKkoCWsd1kJFqtnyUB1KD8Ue2NRvE66NvQYPpgcC0gMw6vIoLAtehuTi5Gb7kkIhgg7vh5S8PPpN9GpxLl2uOSwGuSDy2mXkZzzvqCV8eaTdAvISgL4/itIlfC4c5gLFz4G0tt1LxIgRI6YttPquRhAElSCIaIIgAt78rkwQRCBBEGlvPjstyVKRPhXQV0LIuZPgVZS3qk9BRS3+epiBET21oPc0ArUpKa2zWjWwPKK+AAAgAElEQVRgMlT02U0KOTfg3ccA+RW1uJXYeNFitcU/giItjdxNm7okgWZ7SS5OxqHYQ3AzdIOLoUuXyKAjq4M1Dmtw0+MmpppNxcPshxh3dRzmBc1DdH50o33i797C67QUOHtOh6Rs6wLj+0+eDik5edw6tPfrrD1IksADH0BB//NnTed8K9oN/Gj/551XjBgxXxVteWVcBODpO7//BOA2SZJMALff/N4pPM59jMsGiaipqsTDs60rwrr/7jPUCYRYPNgEhft9wTAwaL3VChAlM1TQ73auQWeWOvSUpT6qN9gATVkZagsXovrRY1Tc6l6KYVPUC+qx5uEaKEoqYrX96q4WB6pSqlhssxi3PG5hgfUCJBQmwOu6F6bemIqQ7JC3Smt1eRkenDoGXY45OE4DWz2+pKwsBnrPRN7zNMTcvNZJq+jGZIYCWWGiGoLUdtezbR9UGmA/C8h4AOTGf965xYgR89XQKuWKIAhdAN8AOPzO4W8BHH/z7+MA2p6MqJX82OtH9LV0QZJBGeJu30De8+ZdXq9KqnEqLBPjbHShHh+O2uRkkdWK1oaE9AQBMIcAz+8B/NpPW0AHQqUQmOJggPAXxUjObdyKpzRxAiRMTZG3dQuEvI/KP3U7DsYdRGpJKn52/BmKkopdLc5b5BnymNVzFm6438DK3iuRVZGFOUFzMCFgAm5l3ML9U0dRV8PD4BlzG40Pyynl4Vl+4zvTTPv0h6GVDR6ePYnywoLOXkr34uFOQFoVsPbsmvl7eQF0aXFJnA5AWlra+t3f3y2KK0bM10xrLVe7AawA8G6gjwZJkq8B4M1no3vmCYKYRRBEBEEQEQUF7XuIUAgKfu3zK+j9WKihC3Dp4DaQzQSk7g5KA0EQWDjYBAX7fUE30If8N+3YeWYyFKivAl4+apfcncV4Wz1I0Cg40UhaBgAgaDRorl0Dfs5rFP3552eWrm0kFCbgSPwRjDIehQF6A7panEaRpkvDk+uJG2NvYEOfDajmV2PrpdVIvBcE+T5mUNDRftu2qpaPCxFZ+O6Px+iz5Q6G7AzG8N8f4MjDFyis/FdJJwgCQ2bMBUkKcefowS/KhftJvI4VVT9wmAswOrTOcOuRUgKsJgPxF4CKxt3rYsSIEfMptKhcEQQxAkA+SZLtSs5DkuQfJEnakiRpq6am1p4hAAB0Kh0+rr8jx0YKVZk5uPm/xt2Dz/IrcDHqFbwcDCAX+Qi1T5+K8lq1xWrVgFF/gMroVtnaAUBRmoFvrbRxKSobZbzGU1RI9+4N+W++QdHhI6jL6j5B+e9SK6jFmodroCKlgpV2K7tanBahU+kYwxyDi9/8gzEZZqiVBvZJBeCbi99g4/0/sOhsGGw3BmG5Xxxel/GwZCgL60dyQaMS+DUgCfabb2PGsSf4X/xr1PIFUFDXRJ9xk5EeEYZn4d1Lge80Hu4CGHJA7++7Vg6HuYCgTpTEVEynkJqaynB0dGSxWCyuo6MjKy0tjQEAf/31l1JDRnRbW1tTQFSzb/bs2brm5uYcFovF3b59uyoAZGZm0m1tbU3ZbDaXyWSa3bhxo2My/ooR08m0RuPoC2AUQRDDAUgCkCcI4m8AeQRBaJEk+ZogCC0AnZ5wTYYug/UzD2JvyjREnj+PHrZ2YGly32vjcysVUnQq5jj3QIH3WtAN9KEwYkT7JpSQBQz6iJSrYZs6YAUdh5ejIc5HvIJf5CvM6GfUaBv1FctRcfcu8rZshd7+fZ9ZwpbZH70fz8ue4+CQg5BnyHe1OK0m7tb/UJtbBKfvlyCvOg/38s7gXNVeQCADc+4ILLTzQr8eem9dhVP7GiEtrwL/RGXjUvQr3E7Oh4IUHSN6amGMVX+oGd7D7aMHoW9hCQnpNled+HIoSgeS/IE+CwGpLnb/qhgDLFfgyWGg32KALtm18nwily9f1svPz+9QU6C6unr16NGjm30zq62tpbDZ7Lc34bKyMurQoUPLAGDOnDn6kyZNKlqwYEHR7t27VebOnasXFBSUvmXLFq1bt26lGhkZ1RcWFlIBYPfu3aoKCgqChISEpzwej+jduzd75MiR5WfOnFEaPHhw2datW3P5fD4a6vaJEdPdafGLSpLkKpIkdUmSNAQwEcAdkiQ9AVwB4P2mmTcA/06T8h3UZNThPucnSNQS2Lt/KfKr/9Xp4l6V4npCLr536gGJJ6GoTXoK1TnttFo1YDIUKEwBSl92gPQdh7mOAnrpK+Lvx5kQCht3KdE1NKA6dw4qb99G5YMHn1nC5onJj8GxxGPwYHmgr07frhan1WS/ysH9s3+jSNkYU4KqERCmgF70tZjF3AFHXSsk153DirAJ2Bu9F0W8f/POMTXk8JMbG6E/DcaJ6XYYaKqGf6JeweNQGC5JOaKqtAQ3jv3HrSghu0XJeR3mdbUkIhzmAdWFIvegmHYhISEhTE5OTmr4WbVqVU7DuejoaJlZs2YVA8DcuXOLIyMjZQHA1ta2cvLkyYY+Pj6qfL4o6XVQUJD8+fPnVdhsNtfa2ppTUlJCS0pKknRwcKg6c+aM6pIlS7TDw8Ol2lqfUIyYruITtA5sAXCeIIgZAF4CGNcxIrWMpaUTkvveBRkahsX/zMaBCcchz5DH9pspUJKmY0Y/QxRM/gl0fX0ojGyn1aoBpgtwa43IetV7RscsoIPw7mOIRWdj8OBZIZxZjbtclb29Ueb3D/I2bYbMFX8QjK6vlcjj87A2ZC20ZbWxzHZZV4vTIvUCIYJTCvBP1CsQd0/AgM/HU4PBWNOHi2+ttaEu12D1GIakoiQciT+Cw/GHcTLpJGZbzsb3Fv+6wKgUAv1ZaujPUkNFTT2ux+fCL+oVYrLNQQbfxMwqLbgOcoCruSZkJD7lz7ObUZ4DxJwRBZPLaXS1NCKM+gMa5qLAdmvPz5MlvpNoycLUnTh9+vTLO3fuyFy5ckXBysrKLCYmJpEkScLHx+elu7v7R7t07t+/n/LPP/8oTJ061WjhwoV58+fPb3O2bDFiPjdtMrGSJHmPJMkRb/5dRJLkYJIkmW8+P604WxsZOXUR6JJS0HpcgUW3F+J+Wg4epBVi3gATEI9C3lit5nya1QoAVJmAon63i7sCADdzLajKSuDko4wm21AYDGisXYO6jAwUn2hdGovO5veo35FZnokNfTZAht493WAkSSIhuwy/XE2Ew+bb+P5EBLLiomFcmQ6O6xhc+mkUZvbv8Y5iJYKrwoXPAB/4j/aHg5YDfo/6HfEFjW/5l5OkY3xvPZyf7YhfflkGQkYR2gkBWH4+Cr03BWHJ+RiEPits0jL5RfFoP0AKgb4Lu1qSfyEIUexVfiLwIrirpfnPYW1tXXX48GElADh06JCyra1tJQAkJiZKDBo0qGr37t05SkpK/OfPnzOGDh1aduDAAbXa2loCAOLi4iTKy8spqampDB0dnfqlS5cWenp6FkZFRXXRLggxYtrGF+u/lpZXQP8J3tAqlER+XBJW3l8FDXkGPB30Ubh/P+h6elAYNfLTJyIIkfXqRXCrUjIIBUJkxBWipqp9tRDbAoNGwXd2eridnI+s4qZLKMk6OUF20CAU+B5AfV7X7o56kvsEp56ewiT2JNhp2XWpLI2RX16DP+6nw3X3A4zY+xCnHr+EfQ9l/DnJEqNrHkNJSwfDJ09ucRwjBSP85vQbVCRVsPXJ1hZ3A/bQVsHoHxZAvqYQ29kl+NZKG4GJeZh0OAz9tt7B9pvJeF7whRYcri4GIo6KEoYqGXa1NO9j7gHIqInTMnQCBw4ceHny5ElVFovFPXPmjIqvr28WACxevFiXxWJxmUymmYODQ4WDgwNv8eLFhWw2u8bCwoLDZDLNZs6caVBfX0/cvHlTjsvlmnE4HK6/v7/SihUrxNs7xXwREJ9zC7itrS0ZERHRYeMJBQKc/GkR8otzcapvKixVvsE+ORe8mjcPWps2QtHdvWMmSrkBnJkATLkEGA9qstmrlBI8PJ+KouwqyCgwMMibA31u55ZxeV3GQ7+td/F9PyOsGs5psl1dVhaefzMCci4u0NmxvVNlaoqq+iq4X3EHlaDiwsgLkKZ3j5fQmnoBbiXl4WLUK9xPLYCQBKz1FTG2ly5G9tSCojQDoRdO45HfaXis2QiDnlatHvti2kX8HPoztjptxfAeLSexvbrzN6RHhcN7x35IqWjgVlIe/ol8hQdp/8rl3ksXI3tqQ0H6MyfgbC/3tgD3fgPmPQbUm/6Odhl3fwOCtwDzIwFVk66WplEIgogkSdL23WOxsbEZlpaWhV0lkxgxXzuxsbGqlpaWho2d+2ItVwBAoVIx0HsWKJU1sE62RFTJVTz1+QV0XV0ojBrVcRMZOb1JydB4tvbyQh6uH4qH/65o1NUI0H8iCwxpOq7uiUXw6RTU13ZeiRMtBSm4cDVwLiILNfVNz8PQ04PK9zNQHhCA6idPOk2e5vCJ8EFOZQ429tvY5YoVSZKIyCjGqotx6L0pCAvPRCM1twJzBxjj9lJnXJrXF1McDKAozUBJbg7C/S/AtE//NilWAPCt8bfgKHOwM3InePyWE7oOnDoLVBodQX/uhwSNglGW2jg+3Q6PVw3G6uFsVNcKsPZyAnpvCsK8U5G4/TSv0TqT7YF8E1zcodRWAmEHRcWZu6NiBYhiKakMUUFnMWLEiOkAvmjlCgCi+SpIlTGBxasKzCrsBbn0PLwcYweC3oFv9QwZwLDfR3UG62sFCLvyHKfXh+FlYhHsRxlh0s/2sBigi/GrbWE1RA8JD7JxbmM4cp+XdZw8H+DlaIjS6npcic1ptp3KzJmgaWshd+OmznmQNkNodigupF6AF9cL1urWLXfoJLKKq/F7UBoG7LgHj4OP4B+Tg6FcDZz+3h4PVw7C8mFsGKv9m0qHJEnc+esgqDQaBkxp+4YGKoWKlXYrkVedh2MJx1psL6usAqdJU/EyIRZJ9++8Pa4uL4lZ/Y1x40cnBCzoh0n2+nj8vBgzjkfA8bfb2HA1CYk57f+O1SQlIdXOHvk+Ps0m6G0zUccBXgnQb0nHjdnRyKoDFuOAmNMiWcWIESPmE/milat6gRA7A1ORazoUNBoNKuGlKFOWwHLpAARndXCAqslQoDAVKMkASZJIfZKL0+sfI+J/GehhrYbJvzjAdrgRaAxRYWganYq+HkyMXmwNoYDExe2ReHQ5HQJ+x+8kduihDJaGLE48ymg2tociJQWNFStRm5KCknPnOlyOpiivK8e60HUwUjDCfOv5n23eBipq6nH+SRYmHHoEp213sft2KnQUpbBjnCWerBmCneOt0MdEFRTKx7vF0sJCkBEbhb7jPSGr3D4Xr42GDVwMXPBXwl/Ircptsb3lEFdoszi4d/IIqsvfV5gIgoC5jgLWjzJD2OrB+NPLFrYGyjj5OAPf7HkI19338ef958ivqGmTjPk7d0FYV4eiPw8je9EiCKubjuFrNfxaIHQfYOgE6PX+9PE6E4e5QH01EHm85bZixIgR0wJftHJ1IeIVMouqsXCULayt7fCaEEJigieYahwsC16GmPyYjpuMORQAUPAoGJd8ohB4JAlScgyMWdYLLjPMIKvUeBJCHZYSJv6fHdh9tBB1IxMXtkSgKLtjA5MJgsAUR0MkZJcjOqu02bZyw1wg7eiAgt/3gF/8eTZ4bgvfhgJeATb13QRJ2udJ1igQkrifWoAfz0aj96YgrPgnDvkVtVjmwsLDlYNweqYDPGx0m013UMerxt3jf0LNsAeshn1aSo8ltksgJIXYHbW7xbYEhYKhM39AXXUV7v/ddO4rOpWCoVwNHJxig/DVQ/Drt2aQoFOx6X9P4fjbHUw7Go6rsTnNuosBoCo8HFUPH0J98WJorF6Nitt3kDnFC/V5n5gXOPYsUJEjStLZ3dG0EKVmCP8DEHT+ZhQxYsT8t/lilauaegF+v52KXvqKGGiqBq1HEZARCBH9PBV7nH+HurQ65t+Zj+elzztkvmq6Pu7WrMD5K7oozavGQE82PH6yhbZJy5mmGVI0DJrCwfB5PVFdVovzvz1B1M2mk3+2h7HWOpCToOFEaEaz7QiCgOaaNRBWV6NgV8sP+k8lOCsY/un+mGE+AxZqFp0+37P8Cmy5noy+W+7A669w3EnOh3svXVyc1wd3ljpj/iAmdBSlWjVWqN8ZVBYXYciMeaBQqZ8kl46sDrzNvHHt+TXEFsS22F5V3xC9R3kgMfg2MuNbfklQkmFgiqMh/H/oi6Al/TGrfw88fV2BBWdEyuWqi/GIzCz+yLJJkiQKdu0GTV0dSpMnQdlrCnR996PuxQtkjB8PXmJi+xYsFAAhvwNals1uAulWOMwDyrOBp1e6WhIxYsR84XyxytXJR5nIK6/FClc2qkNCUB8Xjz79h6IkNwcZdx7g4NCDoBE0zA6ajbyq9u/eFQiEiAl6iVPrw5BcZg9L2euYvNYa3H7ajbqRmsOopyq+W2cPQwtVPLqUjss+USgr6AD3CwAZCRrcbXTxv/hcFFQ0nzJCwsQEypMno9TPD7z4hA6ZvzFKa0qx/tF6MJWYmGM5p9PmKamqw/HQDHy77yGG7LyPPx88h5m2PPZP6oXwNUOwaYwFeukrvS1H0xoKXmYg6n/+sBg8DNosdofI+b3F91CTUsPW8K0Qki27h+3HjoeiphaCDu9HfV3LaUAaMFGXw0pXNkJ+GoS/Z9hjCEcDl6Oz4X7gEQbuuIc9t9Pepu6oDA4GLzoaqvPmgSIpsirKDRgAgzOnASoFmZ5TUHH7dtsXm+QPFKeLYq06ITlncnEyIvPaVe60aZjDAGVj4JFvx44rRoyYr44vUrmqqKmH771ncGKqwt5IGQX79oGurQ2LOT+gh40dHl88B6V6aRwYcgAVdRWYEzQH5XUfJf5tkZeJRTj3azhC/J5B00geE7wE6Cf7JyQKwtotu5QcA66zzDFkGhdFOVU4u/EJEh9kt5gHqTV4OhigTiDEuSctl+pRnf8DqCoqyNu4sWMDmN9hc/hmlNaUYnO/zWBQOzYzfB1fiJuJuZh9MgJ2m4Pw85VE1AlIrP2Gg8erBuPI1N74pqcWJOlttziRQiGCDvtCUkYWTt95t9yhlUjTpbGo1yLEF8bj2vNrLbanMyQwdOZ8lOa+RtjFtsfIUSkE+jFVsWuCFZ6sHYLtHj2hqSCJnYGpcNp2FxMPhSBt83bQ9PSg6D72vb6SpqYwOncOEiwmXs1fgKIjf7X+O0qSwMOdgIoJwOmAXHMfUMQrwsxbMzHr1iykFKd03MAUiij2KjsCyOqaHbVfGlQq1YbNZnMbflJSUhgAcPfuXWlbW1tTQ0NDcyMjI7MJEyYYtKUu4JIlS7TXrVvX5lT+hYWF1C1btjRerqKLOHnypGJkZGSL8RAftvvxxx+1L1++LNeRsggEAkydOlWPyWSasVgsrrm5OSc5OZkBAD/99JNmR87VGl6/fk2zt7dnsVgsroWFBaesrKzJ70jDd43JZJq5ubn16O51Jru1cE1x+MELlFTXY8UwNqoehqAmNg4qs2eDYDAw0GsmhAI+7p86Co4KB7sG7EJGeQYW3lmIWkHr3v5L86txzTcOV/fGQigg8c28nhixwBLKNk4AVeKTs7UTBAFTe01M/D87aBrJ496pFATsi0NVWeutE41hoi4LJ6YqToW9BL+F7flUOTmoL10KXmwsyi53fFnIwMxAXH9xHbMsZ4Gt3DGWHwBIyC7D+iuJcPjtNmafjERkZim8HQ3xv4VOuL7ICd879YCanMQnzZEYfBs5KUnoP3kapOQ6tqD0SOORMFMxw+7I3aiub9lqqW9uCTPnwXhy5R8Uvsxo97yyEjSMs9XD2VmOeLBiIJYMZUE3OgRSL59ju7YzllxMRHBqAfLLayB4466mqanB4PhxyLkOQ/727Xj9f/8Hsq6u5cme3QZy44G+PwKUT3OnNsaW8C2orK+ELEMWy+8vb9V1bDWW3wGSCsDj/R035n+YD2sLmpqa1mVlZdEmT55svGXLllcZGRkJ6enpia6uruWlpaWd/rwpKiqiHjlyRL2xc/zPvEO6gcuXLyvGxcW1GIvwYbvdu3fnjB49uqIjZTl8+LBybm4uPTk5OTE1NTXJ39//mYqKigAA9uzZo9WRc7WGnTt3qvXp06cyNTU16erVq88kJCSafINr+K6lpaUl0ul00sfHp1sp0R/yxSlXRZW1OPzgOdzMNWGuI4/CfftA09aC4pjRAABFTS30HjkWTx/ew6unCXDUdsTmfpsRmReJn+7/BIGw6eDeuho+Qi8+w5lfwpCdUgLHMcYiN15PVZFLiSHdaEqG9iKnLIlRC63gNIGFnNQSnNkQhrSIT0tAPMXBAK/LahD0tOVxFL4dBSkrK+Rv3476/E8MXn6HIl4Rfn30K7gq3Pfq6n0KxVV1WHI+BiP2PsTp8JdwNFbBX1Nt8XjVIKwdwQVXu2OUIF5FOYJPHYW2KRdmzoM7ZMx3oRAUrLRbiXxePv5KaF2h5v6e08GQlsGtP/d1iJVRT1kaC/obYs7z2xAaGUNl5AgEPc2D91/hsNt8G6y11+H4222M3h+CeRcScdh5OjKGT0SZ3z+I95yG9PRsVNc186B6uBOQ1wF6TvhkWT/kzss7uJFxA7N7zsa2/tuQUZaBbU+2ddwEErJAL28g6QpQ+sWU6+tW+Pj4qI8fP75oyJAhVQBAoVAwbdq0Ej09vXZpN3Z2dqZz587VsbCw4BgaGprfuHFDFgAiIiIkLSwsOGw2m8tisbjx8fESS5cu1c3KypJgs9nc2bNn6wYEBMjZ29uzRo4caWRqamqWkpLCYDKZZg1jr1u3TmPJkiXaDfPMmDFDz9bW1rRHjx5mwcHB0i4uLsYGBgbmCxcu1G7o4+vrq9ww76RJkwwalDZpaWnrBQsW6JiamnItLS3ZWVlZtMDAQJmgoCDFtWvX6rLZbG5iYqKEj4+Pqrm5OcfU1JQ7bNgw44qKCkpj7dzd3Q2PHj2qBAD+/v5yHA6Hy2KxuOPGjTPk8XgEAOjo6FgsXrxYm8vlclgsFjc6OrpZC9nr16/pGhoa9dQ3MaTGxsb1ampqgnnz5unU1tZS2Gw2d9SoUUbNrXPy5Mn65ubmHBMTE7PFixe/vS46OjoW8+fP17GysmKbm5tzHj58KN2vXz+mnp6e+bZt2xpVhBgMBpmdnU0HAENDw3pJSclWmcf79etX+ezZM4mAgAC5gQMHvs386+Xlpb9nzx6V1soTEBAgZ2trazp06FBjY2Njs0mTJukLBALw+Xy4u7sbNlj4fvnll0YV9ub44irDHriXDl69AEtdWKgKCQUvNhaa69e/V5DYbvQ4JAbfwZ2jh+C5ZTfcjNxQxCvC1idbsTlsM9Y6rH0v/oYUkkgJy8WjS+moLq8D20ETDmOMIaPQiAWE6QLcWAkUPweUe3zyeggKgZ4DdaHPVUbQsSTcOpyIF7GF6D+RBUmZtufqGszRgI6iFI6HZsLVvPkXEYJCgdamjXjh7oGclSuhf+QICMqn6dskSWJT2CZU1ldiU99NoFM+Ld8YSZK4HJONXwOeopxXj3kDjDG7v3GnZSd/eOYEaqsqMWTG3E++Fk1hrW4NN0M3HEs8hrHMsdCW1W62vbS8AgZ6fY/r+3ciNugGrFxazvTeEqUXL6H+5Uvo+/rit0GW+PlbczxKL8Krkmrkltcgt6wWeeU1SMuvwMNntTjGsMVAGwoWR5/D8wnfYYrDdFSoakFTXhKaCpJvP80EyXDNDMFrh3Wg8UioyJBtjk1sivK6cmx8vBEsJRZmWMwAnULH9xbf48/4P+Gg7QBXQ9cOmQd2s0S1EMP/AFx+7ZgxO5mkpyv1qipTOzQzr4wsq5rL2dqshtnwQAYAPT292sDAwPSkpCQpLy+vDi2uzOfzifj4+Kfnzp1T2LBhg7arq2vq3r171ebNm5c3d+7c4pqaGoLP58PHx+fViBEjpJKTk5MA0cMzLi5OJjo6OpHNZtc1uC2bgsFgCCMiIlJ+/fVX9XHjxpk8efLkqbq6Ot/Q0NBi9erVeTk5OXQ/Pz/liIiIZAkJCdLT01P/4MGDKvPnzy/i8XgUR0fHyr1792bPmTNHd+/evWrbtm17PWTIkNIRI0aUTZs2rQQAVFRU+EuXLi0EgIULF2rv2bNHdc2aNfkftmugurqamD17ttGtW7dSevbsWTtmzBjD7du3q61bty4fAFRVVflJSUlPt2zZorZlyxaNc+fOZTa1vilTphT379+fzWaz5ZycnMqnTp1a1LdvX56vr2/2sWPH1BuuW1RUlGRT69y5c2e2hoaGgM/no0+fPqZhYWFS9vb2PADQ09Ori4mJSZ4xY4be9OnTDcPCwpJ5PB7F3NzcbMWKFQUfymNiYlK7Z88ezW3btlU3dr4x6uvrcfPmTXkXF5cWY31aI098fLxMdHR0AovFquvfvz/zxIkTSiYmJrWvX7+mp6WlJQIid3NrZHuXL0q5yinl4cTjTIztpQtjNVlkLtwHmpYWFMeOea8dXUISzlNmIGD3FsQF3oDVsG/gyfVEPi8fRxOOQk1a7W2Add6Lcjw4n4q8F+VQN5SH21wLaBopNC0Ec6hIuUoLAuxnddjaFDWkMXZZL0TdfIknAS+Qk1qCQV4c6Ju1LbcSlULA08EAW28kIy2vAkyN5l32EsbG0FizGrn/tw5Fh49AddbMT1kGrr+4jsDMQPzY60eYKH1aKZGXRdVYczkeD9IKYaWniC3uFmBrdqyb7l1yUpMRd+cmbIZ/CzUDo06bBwAW2yzG3ay72BW5C9udWy5HxHEaiMTg23hw+hhMbO3bnXMLAIQ1NSj09YWUlRVkBw4AAEjSqRjIbvrlrLKWj9wyZxQ97gvNX1fjYOh+3PdchjhVY+SV1yA1rwIFFbX4g7YLxRRZDLpnCN69INCpBNTlJKEhLwFNBUloyP+riGnIS0LrzWdrYuN2PNmB4ppi7B28963SPtdqLrurT+sAACAASURBVMJyw7AhdAMsVC2gI6vT7uvyFkU9gDtKlPPKeaXImiWmURpcNZ09z7hx40oAoE+fPlXLly9nAICjo2PVjh07tF69esWYOHFiiYWFRaNxFT179qxis9mt8GcDY8aMKQUAS0tLnomJCc/AwKAeECmOz58/Z9y7d082ISFB2tLSkgMANTU1FHV1dT4A0Ol0cuLEiWUAYGNjUxUUFNTozSoyMlJq3bp1OhUVFdSqqiqqs7Nzs9l/Y2NjJXV1dWt79uxZCwBTp04t2r9/vzqAfACYNGlSCQDY2dlVX7lyRam5sYyNjeufPXuWcPXqVbnbt2/LDx8+3PTEiRPp33777Xvuxxs3bsg1tc7jx48rHzt2TJXP5xMFBQX02NhYyQblavz48aUAYGFhUV1VVUVRUlISKikpCSUkJISFhYVUVVXVt66jFy9e0Ldt26aVlJSU4ObmxlRXV6+fOnVqKYvF4j5+/DhZWVn5PTP9u4q8vb19xaJFiwqDgoKa/eNsSZ4356q4XG7dm/bFDx48kB0xYkR5VlaWhLe3t97IkSPLxowZ0+ag7S9Kudp7Jw0kSeLHIUxUhYaCFxMDzfU/v2e1aoDl0Bf65j0Rcu4kWI79IC2vgMW9FqOIV4T9MfuhLFCHShwbyY9zIS3PwOCpHJjaaYJo6S1bxRhQMhK5BjtQuQIACpUC2+GGMDBXQdCxJFzdGwuz/jro624CukTrFecJvfWwKygVJx5l4tfR5i22V/TwQFVIKAp+/x0ydr0hZdW2Ei8NFFQXYFPYJvRU64mpZlPbNQYA8AVCHHn4AruCUkElCPwyygyeDgagdpAFpDGEAgFuHzkAWSVl9Bk3qdPmaUBLVgtTzafiYOxBTOJMajFrPUEQGDLzB5xYNh93jh3CqCWr2z13yekz4OflQXvbtlbvoJSVoMFEXRYmowahzvoCsubOxeC/NsLzl/VQ9BLV8OTnxIP2RzRe91qCXT36Iq+85o0VTPST/LoC91IKUF33sWteUZoOTfl/lS+Nt9YwCWjIS+IVLwaXnl3CdPPpMFN569UBnULHVqetGHd1HFbeX4mjrkc/2VoKAHD4AUi8BMSeAew+7YXjc9CShelzwuFweBEREdKenp7NJt3z8PAwTEhIkNbQ0KgLDg5+1lzbBncRjUaDQCAgAGDOnDnFTk5OVZcuXVJwc3Nj+fr6Zpiamn6kYElLS799SNNoNFL4jmu9pqbmPfN0wzwUCgXvxv9QKBTw+XyCJEli3LhxRfv378/+cB4ajUZS3li7aTQa+Hx+o39cs2bNMvLz83vm6OjI27Nnj0pwcHCzb8AtbSR559qQTc35LlJSUuT48ePLx48fX66hoVF/8eJFxQ+Vq6bWmZyczNi3b59GZGTkUzU1NYG7u7vhu9fw3evHYDDeu3719fXvyXb79m1ZLpdbraenx79+/XraoEGDTHNzc+m6urp1HypWQOOKPJ1Of+//s7a29r05WiPPh/dAgiCgpqYmSEhISLp06ZK8r6+v+rlz55QvXLiQ0cQlbZQvJubqeUElzke8wmR7A+goSqFw337QNDWhMHZso+0JgsDAqbNRy6tGyNmTb4/9X+91+LZyOrIPSyLlSS56DdPH5A0OYDtotaxYNcB0AV48AOpbrhXXHtT05TBulS2shuoj8UE2zm4Mx+v01pc2UZZhYGRPbVyMeoWKmpYTIhIEAa0Nv4CuoYHsZcshqGh7DCVJkvjl0S+oFdRiY9+NoLYzkDnuVSlG7QvBb9eT0c9EDYFLnOHdx7BTFSsAiLl1DfkZ6RjoPRMMqc9T93Ca2TSoS6tjS/iWVqVmUNLUhoP7RKSFheJZRPt2rAoqK1H0xx+Q6dsXMvZ27RqDoacHwzNnIGNvj9dr1iJ/xw6QQiFoj34HGLLQGrIAruaa8O5jiJWubOyaYIUzsxxwZ9kAJP4yDHHrXRC4uD9OzrDDdo+eWObCwoieWtBVkkZxVR3upORj7500rL4Uj+nHIvDN3ttYcmcthHWq8AviwONAKH44HYUt15NxISILBSUyWG67BrEFsTgQ00H1AfV6Azq2wOMDQCftpv2vsmzZsvzz58+r3LlzR6bhmK+vr/LLly/fe5n38/PLSE5OTmpJsWqKpKQkBofDqV27dm2+i4tLaUxMjJSCgoKgqqqqyeearq4uv7i4mJabm0vl8XjEzZs3m3FTfIyrq2t5QECAUnZ2Ng0A8vLyqKmpqc26GmVlZQXl5eVvZaqurqbo6+vX19bWEmfPnlVuql0DVlZWNdnZ2YyEhAQJADhx4oSKk5NTszfpu3fvSo8ZM8bww+MPHz6UzsjIoAOinYPx8fFSBgYGdYBIOWtQTppaZ0lJCVVKSkqorKwsyMrKot27d69N1+9dbGxseI8ePZLLyMig6+np8bdt25a1atUq/YkTJ7bapWxsbFz77NkzKR6PRxQVFVEfPnzYZtdGfHy8THJyMkMgEMDPz0/Zycmp4vXr17Q3OytLN27cmB0fH9/mh8IXY7naFZQGBpWCHwaaoPrRI/Cio6H58zpQGrFaNaCqZwBr15GIun4FFoOHgVelhJALadAqsESRRiau6J6FY98tYEi28TIwhwLhh4CMEIA55BNX1jg0OhV93U1g1FMFQcee4tKOSFi7GMBuhBGo9JZ1Yi9HA/wT9QoXo7Lh3cewxfZUeXlo79iBzClTkPvzemj77GhTXij/dH8EvwrGit4rYKTQdpdaVS0fOwNTcTTkBVRkJXDg/9k77/Cmyvf/v7LaNN27paUUSndLgQJllQ2CIENQkY2gjA8qKooKoiKCyhBE2SBDEBAREBTZexdaZhmFAm3pnmnaNOP8/gi7Kx2g/f7yuq5cgZzz3HlOScn73M/93O+Bjeka4lahOVQWZVYmRzeswTusMb4RrZ75+z1AIVMwvvF4Pj3yKdvittG7fu9yxzR56WVijx5k74qFeAWHVlgIZv68El12Ns7jx1d22oBht2ntxYtImT6djGXLUV+7jIfrFsSRY0HhUOo4kUiEjVyGjVxW5pK1RqcnLU9Ncm4hSy7O5mhaDp3svkRv7UpyTiGXEnPYdSkZje7BzagIO68Ilp5fxuWbrrSoFYGPsxX1XaxwtTGv3OeoxVjY9AZc/wf8u1V8/P+n1K5dW7t69eqbH374oWdGRoZMLBYLzZs3Vw4ePLhs+4gKsmbNGofffvvNUSqVCs7OzpoZM2Ykubq66sLDw5W+vr7BHTp0yHnppZeeuCs1NzcXPvjgg3vNmjUL9PT0VNevX79CPlHh4eGFkydPTuzYsaOfXq9HJpMJP/zwwx0/P79Slx0HDhyYOWbMGO9Fixa5btq0Ke7jjz9OatasWaCHh0dRYGCgSqlUSko678F4hUIhLFq0KP6VV17x0el0hIWFqSZMmFBmfVJ8fLy5hYVFsZRXcnKydNSoUXWKiorEAA0bNsz/+OOPU++/f1pgYGBQSEiIatu2bbdKus6OHTvmh4SEqHx9fYO9vLzU4eHhlbYbadSoUeHkyZMTu3Tp4iuVSgUnJyftkiVLbn7xxReezZs3Vz1YBi2L+vXra1566aWswMDA4Lp16xYGBwdXeOtww4YNlR988IFnbGysRURERN7gwYOzT506ZTFixAhvvV4vApg6dWpCReOKqqO/krE0adJEOHPmTIXHXUrKofsPR/hfex8mdPHn9qDBaBIT8dn1T5niCkCtymfZ22+ByAZB0g8Hd0tav+KLlY+IIX8PIaswi9XdVuNj52P8hDQF8K03hA+Dbt9W+HoqSlGhlqO/Xefy0Xs4eljRaXgQTp7l14H0+ukoykINe95va/SXS/qiRaTNnYf7118X631UGsn5yfTZ2gd/B39WvLACsahiCdH9V1OZ/MdFErMLGBDhxcSuAdhaPJuC9ZLY8cNMrp86xtBZP2HvVnZxeXWjF/QM/mswSflJbO+zHUuZZbljkq5d4dcpH9G460u0H2b80rQ2K4u4jp2wbN0azx/mVWXaDxEEgaxf1pIy/Wvk9lo8V/+OrH6DaokNcC71HEP/Hkr/gP58GvHkUqhWp+dOpoq4tHxupCq5mprOofxJaPQFKG++i6Az/CytzKX4OFvi42L1UHD5OFtRx1GBTFLGZ1WnhXlh4FgPhv5ZbddUGUQiUZQgCE0efy0mJiY+LCws/d+ak4n/LqNGjfJ84403Mh7UQpkome3bt1vPnj3bdf/+/ZXKnsbExDiFhYV5l3SsRiwLLj10Exu5lLfa+KA6cYKCqCgc33rTCGGl4fSOJPRCcwrz7uLTMIPXPmuGV7AjDnIHFnVahJnEjFG7RxllqPsQmYXBjPb6ripemXGYyaW0HxxI97ENUOUV8ZuR9jlDW9QhLi2fY3HGb9xxfPNNFM2akTxtGuqbt8o9XxAEPj/2OTpBx1etvqqQsErLU/P2r+cY/vNp5DIxv41uwfQ+oc9VWN2+EE3s0YM069XvuQsrMLRm+KjZR6QXpLP8wnKjxtTyCySs84uc27md5BvXjH6vjMVL0BcW4vzuO5WdbjFEIhEOvTtTu20uRfnmxL/xduUtc55CrVMz5egU3C3dGd+4eKZNKhFTz9mKzkGujGnnw9xXI1jX60dkZgV0bnOAtSOa8VWvYPo29sBaLuPYjQxm/nOVUWui6DTnIEFTdtJpzkFGrTnDzH9i2Xw2gfMJ2eSr73cMkEgN9Va3Dhn6dpkwUUNYvHhxgklY/bvUiMyVqkjLlXt5NPay4/bgwWjuJuCze1ep4kqvF4g9do8TW+MoUGoIbOlG0uVl5GWk8sbcxZgrHmUHYjNjGbZzGO6W7qzsuhJbcyOXkE8uhr8/grfPGorcnxMFyiIOrr1K3Lk03H1s6TgsEFvnkpeGCjU6Wn6zjyZ17FkypEmJ55SEJiWFW716I3V3x3vD+jJF7MarG/nqxFdMjpjMawHG9TUSBIHfziTw9V9XKCjSMba9D2Pa+WAurf6Gk2Wh1WhY/dHbCDodQ2f9hLQcsf4s+fjwx+yO383W3lvxtPYs93y1Kp+V74/BwtaOQdO/L9f7UJOcTFyXF7Dp3p1aM6ZX17QN7J4Cx+ZT+OLv3J04DV1WNh4zv8O6U9WWzOdGzWX5xeUs7rSYlh4tjR639spavjn1DR83+5iBgQOfOJZXqOHm/UxXXJqSG6lKbqQpuZ2hetg8FcDdVk59FyuC7fVMuNSbTO/u0HsBzlaVXGKsIqbMlQkT/z1qfOZKYSYlvI49qpMnKTgTheObpWet7t3IZtM3Z9j/Syx2Lgpe/aQpHQYH0WnkGFS5ORzftO6J8wMcApjXfh63c2/zzr53KNQauQRf//4Xx409Vbm0CmNhZcYLT9nnXDxUsn2OXCahf9Pa7LmSQmK28TcxMldX3KdPR33lCmmzZ5d6XkJeArPOzKK5e3Ne9X/VqNg305S8vvQEH/1+Hj9XK/56tzXjO/k9d2EFcObPzWQlJdDhjdHVL6z0etg8Cha2gsTyPfDGNx6PRCxhTtQco8KbKyzpMHw0afE3ifqr/A776T8tQBAEnP73P6PiG01BFpxeDsF9kDftQN2NGw2WOW+/Q8ayZZW2dbqccZmVl1bSu37vCgkrgAEBA2jr2ZbZZ2YXs8exlssIq21H33BPPuoawJIhTdj3QTuuTO3KnvfbsGhQOB++4E/zeo7kFGhYE53DOnUktje28uLXmwn7chd9Fhzlw99iWHwwjj2XU4hPz39CmJkwYcJEjSloFwTBsEPQxQW7V/oVO67MKuTY5jiun07B0s6cziOC8G3i+vAu083Hl9AOXTi3czuhHV7A0dPr4dgI9wimR07no4MfMfHQRGa3m41UXM6PxtHHYPJ6fRdEjKrWay2PB/Y5tXzt2Lf6CgfXXeVWTBodBgdiafdk49OBzeuw6GAca0/c5qOuxtvQWHdoj/2gQWSuWo2iRQus27V74rhe0PPZ0c+QiCRMbTm13Lv5Iq2eJYfi+GHfDcylYqb3CaV/09rV1mCyouSkJnNy8wb8IlpRt2F49b/Boe/g/Howt4VlnaHNh9BmAkhKXvJ0s3RjeMhwFkQv4HTyaZq6NS33Leo3a4FPk+Yc27gWv4iW2LqUbA1WFB9P9ubN2L/+Omae1dAH6nFOLYMiJbR+DwCpkxN1Vq3i3qeTSJ01G/WtW7h/XnK7lNLQ6DVMOToFe7k9E5pMqPCURCIRX7X6ir7b+vLhoQ9Z3309ClnZhf9mUjH1Xayp7/Jkkb0gCKTd9sR85W6WBUWzyWYwN1KVHLiWxm9Rj2pczSRi6jpZ3q/nelTf5eNshYXZ879xMGHCxL9LjchcAahOnkJ15owha2X+SEBoi3Sc+esWaz8/wc1zaTR50ZuBXzbHr2nxnWat+w9BJpez7+fFxe6ou3p3ZWKziey7u4+vT35t3B23b2eIP/LMWjKUxwP7nDb9/Ui6ll2ifY6HnQWdAl1Zf/ouhZrSrX9KwuXDCZgHBHDvk0/RpDxpj/Nr7K+cSTnDR00/wt2q7E7wZ+9k8dL8I8zadY1OgS7sfb8tAyK8/jVhJQgC+35ejEgspt3QZ9DD6PJWODADwgbA+PMQ+goc/AaWdYK00o2GhwUPw83SjZmnZ5Zp0/QAkUhEh+GjEInF7Fm+sNTPbNoP8xGZmeE0uppvAopUcHKhoTWJW+jDl8VyObVmz8Jp7Fhyft/MnZFvoss2fqPYigsruJp1lcnNJxu/TP8U9nJ7ZkTOID4nnm9PV37TiUgkwsU7BPy60jBlM9O6+7L+rRacntSJmCld2Dy2Jd/1a8DwVt7UdrDgUlIOP+6/wbvrDVZNgVN20uqbfQxdcYrou9W6Wc6ECRP/YWqMuEr/6Sekzs7YvfoKYPiCjDuXyrovT3Jy2y3qBDsy4IsIInrWK7XhpsLGllavDebOxRiunzxa7PjAwIGMCBnBpmubWBSzqPxJ+XYGbaFBYP1LiMQiQtt58trkZti5Kti17BK7ll2kMP9Rf6uhLb3JzC9ix/l7FYotNjfHY85s9IWFJE2ciKAzfOHH58QzN2oukR6RZbYPyCvUMGXrRfouPEZuoYalQ5qwYGA4LjblGsQ/U+LOnOTm2dO0fGUA1o5O1Rv83nn4YzR4NoUe34OFHby8GF5dAzl3YVGkwVqlhN5JFlIL3mv8Hlcyr7A1zjgzbRsnZ1r3H0x8dBSxxw4VO14YG0vuX3/hMGQIUqdqvtazq0GVAa3fL3ZIJBLh/M7b1Jr5HQXnzhH/Wn/Ut8rfIBGXHcfi84t5wfsFOnpVzdsxwj2CkaEj2Xx9Mztv7axSLJqPgfw0uLjp4Uu2ChmNvex5tUltPnkxkGVDm3Lgw/Zc+aor/4xvw4KBjXm/sx/hdexJV6r5d24lTJgw8W9QI8RV/slTqE6ffpi1ykhUsnVuNDsXX0RmLqHX+IZ0HRWKjVO5xuOEdeqGs5c3B9YsR6MuXl/1buN36enTkwUxC/jt2m9lB6vTGqQWz23XYFk8sM+J6FmPuLNp/Dr1JLcvGXYJtvRxxMfZktUnSrWcKhXzevVwm/QpqhMnyFi+Ap1ex+SjkzGTmPFFyy9KXQ7cdSmZznMOsebEbYa28GbXe23oHORapWusDjSFhexbuRgnL28adetZvcGVabB+AFjYw2trQfaYiAzqCWNPgE8H+OdTWN0Tsu8UC9GtbjcaOjdk3tl5KIuMayHT8IXuuPn4cmDVUgqUT/YWTPt+LmIbGxzfGF6lSyuGtgiOzQevFlCnRamn2b70El6rVqHLyyO+/+vknyi9+alOr2PK0SlYyiz5pNkn1TLNMQ3HEOYcxpfHvyQhr8Ktah5Rty24hsDxBVBOVttcKsHfzZoXQ915p6MvP7zeiB3vRBJW267y7/8fRaFQlG0t8BRPG+1WhKlTp7rk5eWV+p312muv1YmKiirzzq1Zs2b+hw4dKrZG3KxZM39vb+8Qf3//oMaNGwfExMSYl3V+eaxZs8bu8bmMHz++1pYtW8r2IjPxf4oaIa5y/vgDqbMz8u69OfTrVTZMO0X63Tza9PfjtUlN8QwovWnh04glEjoMH01eehqntm4qdlwkEvFFyy+I9Ihk2olp7L2zt/RgMjnUvd+S4TnuuiyNB/Y5/T5ugtxSxvb5MRxYG4tGrWNIC29i7mYTU4mlCdu+fbHu1pW0efPYvOUbYtJi+CTiE1wUxb3oUnILGfNLFG+ticLWQsbvY1ryRc9grOXPr71CWRzfvJ689DQ6jhiDRFqNJYfaItgwCPLTof9asC5BSFq5wOu/Qq+fICkaFrSEc7888dkRiURMbDaRzMJMllxYYtRbi8USOr/1NgV5uRxe+/PD11Vnz6I8eBDHkSOR2Fa6kXLJXPgNchNKzFo9jaJxI7w3bkDq7MSdkSPJ3lT89w4Mu/zOp59nYrOJOFpU3jvxcWRiGd+2MSwLTjw8EY2+fMeCEhGJDNmr1EuG1gwmnjuLFy92VSqVJX5nabVaNmzYcDs8PLxCTUEfZ/Xq1TevXr16ecCAAenvvfde7crPFLZs2WJ3/vz5h3f7c+fOTerdu3fFrS9M1FhqhLhynfoVyvHzWTf9HBcPJRLSxoNBU1sQ2s4TcVlNAEvBMyiEgFZtOb3td7JTive3kollzGo7i2DHYCYemsjZlLOlB/PtAlnxkBFX+jnPmSfsc44ksWHaKVrbWWFpJmH18Ypnr0QiEe5ffgkuTrh8u5Zuzm3oXrf7E+fo9QJrT96m05yD7I1N5cMX/Nn+Tmsae5XpI/pcyUi4Q9T2Pwhu1wnPgODyBxiLIMCO9+HuCej9E9Qq42ZeJIJGg2DMUXAPg63/M2S7lI9q2kKcQujp05NfLv/C3VzjLONcvOvRpEcfLuzbRcLli4ZC7DnfI3FywmHQwPIDVAS9Ho7OBddQw9K4EZh5ehosc5o3597kz0iZORPhsaXRu7l3mX9uPm08i3+2qoqHlQeft/ic82nnq2aPE9IPLJ3hxILqm9z/EbZv327drFkz/65du9arW7ducM+ePes+8HzbtGmTTd26dYPDw8P9N23a9DB99/7779eaMmXKw7sQX1/f4KtXr5rl5uaK27VrV9/f3z/I19c3eOnSpfbTpk1zSU1NlbVt29YvIiLCDwxZs/Hjx9dq0KBBwN69e60ezzINHDjQKyQkJLB+/frB7733XoUa2HXs2FF5+/Zt86dfLy3m2LFjPXx8fIL9/PyC3nrrLc/du3db7tmzx27y5MmeAQEBQZcuXTLv27ev988//2wPcPDgQUWjRo0C/P39g0JDQwOzsrLEZ86ckYeGhgYGBAQE+fn5BV24cKHY+5uoWdSI3YIHfr1G7PEMPPztiHzVD0ePqrvUtxk0nLgzJzmweim9P/ys2HGFTMFPHX9iyN9DGLdvHKu7rqa+fQnZ7IctGXaDU6Wy3c+Ex+1z9q66wj/zzzPE246VMUl8+mIAjlYV+90VrBQs72vNsJ9SGL0TeMwN5EZqHp9svsDp+Cxa1HNk+suh1HUqv9P480QQBPYsX4CZ3II2A6t5iezkIji3BiInQEhf48bY1zF0/T65EPZ8CQuaw0vzIPAlwLA8vfv2bmZHzWZu+7lGhWzR73WunTjCrqU/0rdXf1RnzuD62WTEimr2SozdDunXoO9yg1g0Eom1NbUXLSRl+gwyl6+g6PZtPL77DpGFBV8c/wKpWMpnzT97Jn2kutbtyvF7x1l2YRkR7hFEuEdUPIhMDk1GGDYnpN/4T/2+j79yp3ZsfmG1/kMHWMpVcwO9jDaEvnLlikV0dPRNb29vTXh4eMDu3butIiMj88eNG+e9e/fuq8HBweoePXrUKy/O5s2bbdzc3DQHDhy4AZCRkSFxdHTULVy40PXgwYPX3N3dtQAFBQXikJCQgrlz5yYBfPbZo//H58yZk+jq6qrTarW0bNnS/+TJkxbGNtXcvHmzbUBAQLFzS4rp7e1d9Ndff9nfvHnzolgsJj09XeLk5KTr1KlTdo8ePXKGDx+e9XiMwsJC0cCBA33Wrl0b17ZtW1VmZqbYyspKP3/+fOexY8emjBkzJrOwsFCk1WqNmaqJ/zA1InMV2s6Trm+F0Gt8o2oRVgDWDk4079ufuDMnuXWu5Mam9nJ7FnVehFwiZ/Se0SV3cXeoC46+cH13tcyruqnla89rk5sR2KoWVrdUvJYlY/3uimfZll9Yzj/W8eQN7Y561z5yNv+BWqvj+93X6DbvMNdSlHzXrwHr3oz4zwkrgCtHDpBw+SKRA4ahsKnGJbIbew01VAE9oP2kio0Vi6HF/2DUIbD1NCwr/jEaCnNwUbgwMnQke+/s5dS9U0aFk5nL6TRiLFlJCRz58XtkHh7Yv/JKJS6qDAQBjswB+7oQVL4X4tOIpFLcpnyG66RJKPftJ37QILYcX86p5FO83+R93CxLbidRHUxsOhFvW28+OfwJWYVZ5Q8oiaYjQGJmENQmniA0NDTfx8dHI5FICA4OVsXFxZlFR0fLPT091aGhoWqxWMzAgQPLtYto3LhxweHDh23GjBnjsXPnTitHR8cSt85KJBKGDRtW4j/kqlWrHIKCggKDgoKCrl+/Lo+JiSl3F82QIUPqBQQEBB0/ftxq3rx5xURlSTEdHBx05ubm+v79+9dZtWqVnZWVVZku3+fPn5e7uLho2rZtqwJwcHDQy2QyWrRokT979mz3SZMmuV2/ft3Mysrq368zMVElakTmyqWODS51Kmx2XS6NX+zFxf272b9qCbVDwpDKitcFeVh5sLDTQobtHMao3aNY3W118e3hvp0NjRSLVGBWzVmCasBMLqX9oADqhjnxx+Lz6P5J5oxcQeMX6hjVDuFq5lUWnV9EV++uNB/0DXeupJM09Su+ii7iuMaaXg1r8VmPIJwqmA17XhQqlRxcsxz3+v6EduhSfYHTb8Cm4eAcCH0WG8RSZXAJgJF74dBMODQLbh2G3j8xJGgIv1/7nW9Pf8vGHhuRiMvvVHiEwQAAIABJREFUl+TdMByfen5cu3GV4KGDKtRfyihuHoCkc9BjrsEeppI4DB6EWR0v7r73Hq7vzuGlUaH08y3ev646UcgUzGwzk9d3vM5nRz9jfof5Fc+SWbkYWmtEr4UOkwybF/4DVCTD9KwwNzd/KAgkEglarVYElPozlkqlgv6xpWG1Wi0CaNCggfrs2bOXf//9d9tJkyZ57NmzJ3fWrFnFtjqbmZnppSXUTcbGxpr9+OOPrlFRUVecnZ11ffv29S4sLCz3l3P16tU327RpU6Lxb2kxZTIZ0dHRV7Zt22azfv16+4ULF7qcOHGiVE8qQRAQiUTFhNPo0aMzIyMj8//44w/bbt26+S1YsCC+Z8+ephqtGkyNyFw9K6QyGe2HvUXWvSTOltHl2t/Bnx86/MDdvLu8ve/t4l3c63cCnRriDz/jGVcN71An/Ib6ckOm4+TWm/wx6yzZqWWbiGt0Gj498im2ZrZMiphEbpGeVe2HkyuIGbZ3OT8PCmNe/0b/WWEFcGTDGgpyc+k4ciyiygqgpynMgV/7g1gKr68D8ypmVCUyaP8pjNhtWH5a3Qv57s95v+E4rmVdY/ONzUaFEbRa/GJikYhEnIi7/ERdU7VwZA5YuUHDAVUOZRkZybrxIWjFMPjHq+TtefZuB/4O/nzQ5AMOJhxkXey68geURPMxoFEZWlGYKJOGDRsWJiQkmF26dMkcYP369Q93H3l7e6ujo6MtAY4cOaJITEw0B4iPj5dZW1vrx44dmzl+/PiU6OhoBYClpaUuJyen3F/grKwsiYWFhd7BwUF39+5d6YEDB6qcqi4tZk5OjjgzM1Py2muv5SxatOjulStXFABWVla63NzcYnMNCwsrTElJMTt48KDiflyxRqPh8uXLZoGBgerJkyendunSJTs6Orr8re8m/tP8fy2uAOo2DMenSQQnfl9PXmbpNl1N3ZoyI3IG0anRfHjoQ7T6x9bE67QCmeI/uzT4OC809uC0u5jr9czJSs5nw7RTnPrzJvHn08lJUxUzg158fjHXsq4xpcUUjl0voNOcg6y8quTS4HfxykwgcNt/+wsmOe46Mbv/omHX7rjWrSYPSL0ONr0BWbfg1dVg7109cQE8w2HUYYgYDScX0eXvL2hs58eP534kr6j8G9mcrdsQ3bxFizadSIy9zIX91fiZTIgy7JRrOQ6kVRfTO27tYIv+LAlz3sbCP4DEt98hfenSSlvmGMuAgAG082zH7DOzic2MrXgAt1CDcfvJJaAz1caUhUKhEObPn3+7R48e9cPDw/1r165d9ODYkCFDsrKysiQBAQFBP/74o3OdOnUKAaKioiwaNmwYGBAQEPTtt9+6T5ky5R7A0KFD07t16+b7oKC9NFq0aFEQEhKi8vX1DR48eLB3eHi4cT1NKhEzOztb0rVrV18/P7+gyMhI/2nTpt0FGDhwYOYPP/zgFhgYGPRAWALI5XJh7dq1ce+8846Xv79/ULt27fxUKpV4zZo1Dn5+fsEBAQFB169fl48aNarc5VMT/21qhHHzsyY7JZmVH4zBt1lLur/zYZnnrruyjhmnZtDXty+ft/j8Ucp73WuQegXejalQke+/wY/7rjNr1zW2j2jBrZ13uHMp8+ExiVSMnasF9m6WaGzyWZG4EF/v+mRmv8Dua6kE17Lhm5cbEOppS/LX08laswbPhQuwbt/+X7yiktHrdaybNAFlZjrDv1/0hGF3ldg12dDjqcf30OSN6olZEjcPwJaxXFZn0L+WC0MCBzOh2Uelnq4vKiKua1ekjk7U2bCe3776lLTbtxg+ZxGWdtWwfLV+oKFh7nsXwbxqLXsyCjLovbU3XjZerO66GlGRhnufTiL3r7+wffll3L+omGVORckqzKLftn4oZAo29NhQrj1OMa7+bchc9lth/CaGKmAybjZh4r9HjTduftbYubrRtGdfYo8eJOHyxTLPHRA4gDdD3+T367+zIOaxLdn1O0H2bci48YxnW3X6N/PCTCJm05V7vPR2Q0bMjqTvR+G0HxxAg/aeWDvISb2dS/z+PDpeG4LXrpaEncrlQ401o7Am50Qql48koevzJqLAhtz7dFIxe5z/Auf3/EPKzeu0GzKy+oRV9DqDsGr65rMVVgD12sGYYwQF9KF3npK1l9dw+9b+Uk/PXr8BbdI9XN4bj1gspvOb49Cq1exftbTqc0mNNewSjBhVZWEFMOPUDPI1+UxtORWJWPLIMmfcOHI2b+bOiJFosypZdG4ED+xxbuferpw9ju8L4FAPTlShtYMJEyb+z2ISV/dp1qsf1k7O7Pt5EXpd2b5ubzd6m971e7MoZhEbr240vPig308NWBp0sjLnxVA3fo9KQKnWIreU4VbPlqBWtWjZtz7d/xfG1c6HWBbxIatdYrnmY05Ax9r4BjpQkFfEpYOJ7P8lli0/XGCv65scCPqYTZ/tZf+aK0TvucPtSxnkphcg6P+9DS/52Vkc+XUVXiFh+LdsUz1B756GP981LAl1nVE9McvDwg76LOKdyGmYCQKzdr5Von2OPj+f9EWLUDRvjmXLlgA41PIkos9rXD12qNQdsUZz5HvD0nfE6KrFAfbe2cs/8f8wqsEofOweLdWKRCKcx/2PWrNmURATQ3z//qhvlm+ZU1mauTervD2OWAwRYyDhtOFzYcKECROPUSN2Cz4PZOZy2g0ZyZ9zZhCz+y8adX2p1HNFIhGft/iczMJMpp2YhoPcgU51OoGTn6Fbe4uxz3HmlWNIS2+2RCfxx7lEBjev8/D1Qo2Oz/7ezt+Z6xCrIvikTy96Naz1xI4fQS+Ql1lIVrKKrOR8Uo5fIu1SHnEnE1BrH+1ok8rE2LkpsHezxP6xZzsXBRLZs9X1h35ZgUatpuOIMdXTNykn0dDs08bDUGcleb4d553CBvKmNp15F5dx/OCXtIj9C3ovMPTLAjLXrEGXmYnL+HefGNe0Vz9ijx5kz/IFDJu1AJm8Er6OWbcNHdkjRoHCeDeEkshR5zDtxDT87f15I7TkzJ9tj+7IatUiYdw44vv3x/OHH7BsXom+VEYwpuEYTiWf4svjXxLiFIKntafxgxsOgH3T4MRPUHvlM5mfCRMmaiammqvHEASBTdMmk3LrBm/MXVJuP6QCbQEjd40kNiOWxZ0X0yR6M5xeChPjwey/1+vpcQRBoOePR1Frdfwzvg0ikYhjN9L55I8o0m2/QSGHLT0342FErY4gCCR98AG5/+zCbdlqCpzqkZWcf198GQRYXmYh3P+oiURg42SBvbsl9q4K7N0fCS9zRdVFy93LF9j45SdE9HmN1v0HVyqGIAjoNHqKCnUU5SnRbBxNUVYGms6zKDJ3N7xeqEVz/7moUIfmqeeiQi2WtuYER9bCt4krUrPyWymUhVqnpteWXlho1Px287rhzqjrDHR1e3CjywsomjWj9k8/FhuXcOUiG774mCYvvUzbQZVYytwxAaJWGuoJbT2qdA2fHf2MP+P+ZF33dQQ5BpV5blFCIgljRqO+FY/b51Oqv2fXfRKVibyy7RXq2tVlZdeVyMQV+AzummzwG3w3Buyq5JhSJqXUXN0MDQ3NEovFpp5IJkw8Z/R6vejChQv2YWFhJTbGNYmrp8hIuMPqj94muF0nurz1drnnZxVmMeTvIWQUZLAy5H/4bR4Lr68H/27ljv232XjmLh9tOs/CgY3ZF5vKb1EJONX5G7XiIMu7LKeZezOjY+ny8rjVuw8Adbf8gcT6ybocTZGO7BTVI9F1T0V2Sj7ZKQXotI+WuBQ2Zg+zXHZuChzuP1vZmxuVgSoqUPPLp+PRqAvp+cFMBL20mAgqKtSiKdBRpNZSVKBD89Rzkdpw/OmdkyUiAjNzCTK5FDP5o2czCylm5hJS7+SRmZSP3FJGUGt3gtt4YONY+V3We27v4b0D7zEpdAz9Y3bA7SOk3gkj43g6dbduQe5X8kaqXUvmc3H/bgZO/75iuyaVqTA3FEL7GTwRq8CxxGOM2jOKESEjGB8+3qgxOqWSxPfeJ//wYRzeeAOXD95HJKmaSC2Jf+L/YcLBCYwMHcm7jd8tf8ADsu/CvDBDM9guX1X7vB5Qirja5ubmFuTs7JxjElgmTDw/9Hq9KC0tzTY5OflyWFhYz5LOKVdciUSi2sBqwA3QA0sEQZgnEokcgA2ANxAPvCoIQpkVqDVBXAEcWL2MqL+2MvDrObj5+JZ7fpIyiUF/DUKEiF9uXsU95FXoMec5zLRqFGp0NJ+xl2yVBolYRK/mBezO+oLXA17n04hPKxyvIDqa+IGDsHmhC7VmzzZKDOn1ArnpBWQnq8hMzic7+ZEAU6sebXOXmUuwd1Ng66JAEISSRVGhlqL8U2gLDiOz7I3ErHSnDZlcgpm5QQTJnno2k0sNx+USzBIOYHZ9M7KGvTBr1OeReLp/jsxMgqiMRqyCIJB4LZsLBxK4FZ0GgHcDJ0Lbe+Lpb1/hJUtBEBixawTXs66zvdefKA4sJW7Ccqy99XjMnAVBJf6eU6hU8vP7o7F2dGbA17MQG9GQFDBY8xz5HsadBqfyfxdKQ6VR0WdrH8wkZmzquQlzifGtHAStlpQZ35C1di1WHTrgMfM7xJbVnxn+4tgXbL6+mSVdltDcvbnxA38bBnH74L3LVe93VgoliauoqCgXqVS6DAjBVD9rwsTzRA9c1Gq1I8PDw0vczWWMuHIH3AVBOCsSiayBKKA3MAzIFAThG5FI9DFgLwjCxLJi1RRxpVapWDH+LWydXXn9q5lGNZ68mnmV4TuH46QpYnW2Grt3zv/nWzIArDx6i72xqbzfpQ6fnBqGRCTht5d+q/jW9PukL15C2vff4/71NOz6Vn6LuiAIFORpyLqXT1aKyvCcnE9OWgFiifjJLNF9oaPX5RL99wwcPQNp1mccZuZSZBYSzMylmFlIkD14LkcQPSR2h6HOKvRVeHlJlf898zILuXgokctHkihUarB3UxDazhP/5m6YyY0vf4zNjOXVP19lYOBAhu5Uk7VhIz5DbDEruAgN+kO3bw2F8E+PO3aIHfO+o/3QN2n8Yq/y36gwB74PAZ/2hjqzKjDj5Ax+jf2VVd1W0cilDGPrMsj8ZS0p06dj7u9P7YULkLlVr1WOSqOi/47+KIuUbOq5CQe5kfVld0/B8s7w4ixo9ma1zukBJYkrEyZM/IcRBKFCD2Ar0Bm4ikF0AbgDV8sbGx4eLtQULh7YI8x6tbtwYf9uo8ecundKaLwqTBi4yFc4dnaJcD4lWojLihOSlclCnjpP0Ol1z3DGVWPqsalC6MpQ4WzK2SrF0Wu1QvzQYcKVho2Ewri4apqdcWyZ+ZUwd/DLQk5qStWDJV8UhGnugrC4nSAUqaoe7zE0RVrhyvEkYeP0U8KPo/YKi989IBxcf1XIvKc0OsbnRz8XusxtIFwOChaSvvhCELRFgrBvuiB8YS8IswMF4ca+YmP0er3w+4zPhXmD+wo5aUb8jA7NFoTPbQQh8VxFLq8YZ1POCqErQ4XpJ6ZXKY4gCELeoUNCbONw4VrrSEF14WKV4z1NbEas0Hh1Y2HsnrGCXq83fuCSDoIwr5Eg6J7N7zhwRqjg/9Wmh+lhevx7jwrVXIlEIm/gEIY09B1BEOweO5YlCEKx6meRSPQW8BaAl5dX+O3btyunAp8zgl7Pr59/RE5KMm/MXWx0n6Tdl9cz4dQ09KVkORRSBVYyKxQyw7OlzLLYw8rMynCemRWWUksszSwfPj8YYyG1QCyqnpWAY0nHGLV7FEODhjKh6YQqx9OkpHKrd2+krq54b1iP2PzZW+PERZ1iy3dTiRwwjGa9quhRl58BS9uBtgje2g82tapljiWRfCuHCwcSuHEmFb1OoHaQA6HtPKkT4lim72NGQQZbhran6RUdgXv2I3N1MRxIjILNoyDjOjQbBZ2+eMLvMic1hZUTxuIVEkbvDz8rfVlSU2CotXILhcF/VPr61Do1/bb1Q6PXsLnn5kpnRB+n8No1EsaMRZedTe1lS1E0qlwmrDQeNAqe2HQig4IGGTfowib4fQS8vgH8u1brfMCUuTJhoqZhtLgSiURWwEHga0EQNotEomxjxNXj1JRlwQek3LzBL5++R+NuPWk/1Ph0f9KdY9y7fYD81EvkZ1wnPy+JfBHki8UoLWxQWTqhtLBBKVOgkkhQ6gpQaVQoNUryi/LRCuVbaogQoZApHgmy8gRbKcdFiBjw1wAspBZs7LERubQSW/VLIO/AARJGj8F+8GDcJlW8fqsiaNSFrPzgf8jMzRn87Twk0irsONQWwZo+hv5Fw/822NE8B1S5RVw+ksjFQ0nkZ6uxdpQT0taDoFa1kFsWv57Ca9e42asX2yJEtP56Ca09Wj86qCkw1EqdXAiO9aHPkieu48yfmzn4ywpeev8T/CJalTyhU0vhrwkwdDvUjaz0dc2Nmsvyi8tZ3HkxLWu1rHScp9GkpHBnyFC06el4LV+GRcOG1RZbEATe2f8ORxOPsvbFtQQ6BpY/SKcxFLY7+sDQP4sfzitCYl35jvMmcWXCRM3CKHElEolkwHbgH0EQ5tx/7SrQThCEe/frsg4IguBfVpyaJq4Adi/5kQv7dzHku/k41a5T/oCSKMqHe+cNWYUHj+z7GTyRGJwDwaMxeIQj1GpMkVN98vVq8ovyydfmoyxSotKqUBYpydfml/m6UqN8KNRUGpVRQk0sEvNLt18IdQ6t3PWVQvL06WStXoPnggVYd3h29jhHN6zhxOYNvPr5DGoHVfEatr8HZ1bAy0uhwavVM8EKoNPpuRWdzoUDCSRdz0YiE+PXzJXQdp441360A/PuuHGoTpxk0ngHNFZyNvXcVLyFwM2DsGUs5N2DyA+g7UcgkaHX6Vj76fvk52QxfM7C4llZnRbmNwIrV4ORdCVrzS5nXGbAjgH09OnJ1FZTKxWjLDQpKdweMgRdRqZBYIWFVVvs7MJs+v7ZF4W0AvY4R+bCns9h9FFwCwFApywib99dlCfv4TQ8BHn94rVwxmASVyZM1CyMKWgXAaswFK+Pf+z1mUCG8Kig3UEQhNKNz6iZ4kqVm8PP40fh7F2PVz77unoaUgLkp0PiWUg880hwFdzfbCm1gFoNwSP8oejCrk6Fv+QEQUCtU5OvyX/4eFx8PXjN38G/WrMKD9AXFRH/Wn+09+5Rd+vWR0tX1UhmUgKrJowjoGUk3cZ9ULVgD7I1rcZD5y+rZ4JVID1ByYWDCVw7mYy2SI97fVtC23lSS3yPOwNex/nddzjf3Z9397/Lx80+ZmDgwOJBCnPg748hZh24h0GfxeASSMrNG6z99H0adOpKp5FPNb2N2QB/vAX9f4WAFys1d41ew+vbXyezMJMtvbdgY2ZTqTjlvk9yMreHDEWXWf0C63TyaUb8M4Le9XsbJw4LsmBOEAS/jL7rPPIOJaA8koig1WPZxA2bjl5IbCu3RG4SVyZM1CyMEVetgcPABQzbDwE+BU4CGwEv4A7wiiAImSUGuU9lxVVUVBS3b9+mdevWuLhU/xd0eUT/s4O9KxbSY/zH+LdoXf6AyiAIkHXrvuC6L7buxYC20HBc4XhfbD32qGK37OeB+uYtbvXti0WDBnitWF6tPYoE4X7T15s3GP59Fc2Jbx40LAf6dob+68DYVgXPgcJ8DbHH73HhYCK5aQWYCyo8Uo7TesEErNzteHP3m1zJuMKOPjuwk5eSGbnyJ/w5HtR50HEKNB/LgV+WE7VjK/2nzsTD//7Sl14PC+8L7THHDDYvlWBxzGJ+jP6Ree3n0cGrQ6ViGMsTAmvFciwaNKi22PPPzWfJ+SV81+Y7utUtv3edsO1DlGeyyJMMR1+gx6KBEzad6yBzrlqtmUlcmTBRs6gRTUSPHj3KgQMH0Gg0BAQE0Lp1azw9K2BTUUX0eh2/fDyeQqWS4XMWVs5CpDLoNJB6GRLOPBJdabE8bHVuX/dJseXeAGSVb1D5rMj+fTP3Jk3Cefx4nEaPqra4sUcPsuOHmXR8YwwNX+he+UCZN2Fph0fLYPJnk2WpKoJe4NrvRzm38RwZjsGIJSJ8GrtgF67nzZhB9A/ozycRn5QeQJlm8Ea8ugPqtKao6xxWTvsGM7nFo1q12L9g/euGOq2w1yo1z7jsOF758xU6enVkZtuZlbzaiqG5d88gsLKzDQIrtHqWuLV6LcN3DudG9g02vrSR2tYld2EXdAL5Ucnk7bqJTqnH3CkL29c7YOZRPX2vTOLKhImaRY0QVwD5+fmcOnWKkydPUlhYSN26dYmMjKRu3brVt1RXBgmxl9jw+cQqWapUC+o8SIp+sn4rN9FwTCwFlyDwbPJIcDn5/etZGEEQSPpgArn//EOdX9ZUy+4utSqfn98bjZWDU8WaYj5NYa6hR1FesmFnoEPpjUf/bQRBMCyzpqXhuHozl4+nceX4PYoKtGgdlRy1+5Npwz7Cz7mMZp+CANHr4O+JgMBN33f4Y9NhWr02mOZ9XoVlnSA/Fd4+B5KKW4/q9DqG/D2EO3l32Np7q/G9oqqBZyWwkpRJ9NvWj7q2dVnZ7Ul7HEEvUHAxndxdt9GmF2DmZY2tZCXmudth/EWQVc+NmElcmTBRs6gx4uoBarWaM2fOcPz4cZRKJR4eHkRGRuLn54e4kksYxvLX/FlcO3GEYbMXYufm/kzfq0Lk3oOkx5YTE8+BOsdwzMwKajV6VLvlEW4wH37ODU51eXnc6vMy6PUGexybqmWH9q9cwtmdfxrdRb9E9DpDk9Druw3tBuq1rdKcnjV5e/aQMO7tJxq0FhVquXYqheh9t8lJLkRrpqZpO19C2pZjs5N9x1DsHn+YP3PaE5cKQ8cPw37HUOg+G5qOrNQcV19azcwzM/km8hu616tCNrGSaJKSDAIrJwevFSuwCA2plrhP2+MIgoD6WhY5/8SjScpH6qrA9gVv5IEOiG4dhNW9DHZBjYxs5VAOJnFlwkTNosaJqwdoNBqio6M5evQo2dnZuLi40Lp1a4KDg5E8A+8xAGVmBiveG03t4FD6fDTlmbxHtaDXQ2acQWgl3C+YT74Aeo3huJXbk8Xynk3A3LrsmNVAQUyMwR6nS2ej7XEeIOgFhCIdQpGetLQ7rJv0Pg06d6PTiDGVn9CeLwzWLs+ws3Z1Ieh03OrdG0Gro96f2xBJn8wqCYLAz7s2cvFgIj5ZDRFx32annSeeAaXY7Oj1cHIRyr+/ZuWNBrha6+nncxPRexcqlXG5m3uXl7e9TIR7BPM7zH8uGeWSeCiwcnMNAiskuFriPrDHWRmyCM8zlhTdykXiIMemcx0UYc6Puv4LAixsZbiBGX2kWm5kTOLKhImaRY0VVw/Q6XRcunSJw4cPk5aWhr29Pa1atSIsLAyZrAr9jkrh9LbfObT2Z/p8/Dn1GjWt9vjPDK0aki8+uZyYcd1wzMwaWr4NLcZWq8h6IIj0ah2CWoe+UEv25j/J3boDu9cGYBHa6NGxx8554u9qw9+Fokfmznp0KLU5OIXWw9zdGpmLAqmzAqmzBWIzI4X1+d9g80gIHwY95v7nrYpytm4laeLHeMz9HpuuJTep1Og0vLztZeQFVoy3mErs0WTjbHZSY4n5cRx7rsqpU9uByLFTcK1Xv0LzEwSBkbtGcjnjMlt6bcHV0rUyl1ltaBITDQJLqTQsEQZXXWDlJWRweO02GmTVB0spdp3qYNnUDZG0hIz52TWwbRwM2VYtGVGTuDJhomZR48XVA/R6PdeuXePw4cMkJiZiZWVFy5YtCQ8Px7waO4TrtBpWffg2gl7H0FkLkD4DAffcKMg2iKwzKyB2OyicECInIDQYiqCVlCt49IWPCyPtY+fr7gsinXHzkIgQm0sQyaWIzSSI5BLD380liM2liB78WS4hKS6WOyeiqe/XFAudAm1m4cP6fgCJnTlSFwUyZ4v7zwqkLhaILWWPMimJUfDzi4as3eAtIK18c8fngVBURNyL3RHbWFN306YyvS4PJRzif3v/x0dNP+J13wHERaVyfn8CqbfzkMklBDR3J7SdB/ZuT/a2EjRqzq6bx4lD5yhU5uEX0YpW/QfjUMu4jSO/XfuNqcen8nmLz+nnV8UO+dVEUUIid4YMQZefXyWBpc0oIHf3bVQxaQhmItbY/klKsIq5XX4oo8N9IXwfDJ5NYcD6KlyFAZO4MmGiZvF/Rlw9QBAEbt26xeHDh7l16xZyuZyIiAgiIiJQKKpuvQEQHx3F7zM+p/XrQ4no/Uq1xHzeCHoBdVw2qrOpFCXkoVcVIBSoEfRGClGxCLH8gQCSILovgsTypwSR+eNiSYrYXIJOlUPiuLFIHKyps3oFEstHtUGCIFCozEOZmYEyM4O8+8/KLMNzwpVLuNbz4dUpMxCJRAhaPdr0AjSpKrRpD54NfxY0j7JdYoUUqbMCmT1Iry9DapaGbOAcJLXcjTNx/hfJXLeOlKlfUXvpEqwiy+6WLggCo/eM5kL6BXb02YG93NCeIuVWLhcOJHA9KgW9VqB2oL3BZifU6QmbHbVKxZntfxC1YwvaIjXBbTvRot/r2Dg5l/qeyfnJ9N7amxDHEJZ2WfqvLQeWxOMCq87PK5AHBRk9VpdbRO6+O+SfSgaxCOtWtbBu68mGO5uYfnJ6+fY4+6fDwe/g7ShD5/YqYBJXJkzULP7PiavHSUhI4PDhw1y9ehWZTEaTJk1o0aIFNlUspgbYOmsa8efP8cb3i7F2dKqG2T4fNKkqVGdTUJ1LRZdThEguxdzHFrGFQfiIChIQx+9ClHsdsY09ooa9ENdvacgqPZZNQiqq8JeoTqshPyuLvMwM0o8cJvHnFRDWAMHf96GYUmZmoNUUFRursLXDyt4RWxdX2gx6AztXtzLfS9AL6HLUaFNVaFIL0Kap0KQo0d5NRq9/bHu8VGzIcjlbPFpedFEgc5Ijkv37va70KhU3XngBszp1qLNmjVE/87jsOPpu60s/v35Mbj75iWOFPRuaAAAgAElEQVSq3CIuH03i0qFElFmP2ey0rIXc6lEWVpWTzck/NhKz+y8QiWjYpTvNer+Cwsb2iXiCIDBu3zhOJ5/m956/l9qq4N+kKCGR20MGI+Sr8Fr5M/LAsu1s9AVa8g4moDyaiKATsGzqamgAamO48TDaHkeZasheNR4K3WdV6RpM4sqEiZpFjRBXf0cncj1bxcAgdxxdKt43JiUlhSNHjnDx4kXEYjENGzakVatWODhUfpt4TmoyK98fi0/T5vR4t8zG9P86unwNBefTyI9KQZOgBDHI/RxQNHbBItARkeypZSZBgCvbYN80SL9mWD7rOAXqtSsxviAIqFX5TwikB9mmvIx0lJmZKLMyUOVkFxsr1uuxtLPHupYnCnsHFHYOmFnbYGZljdTCEqncApFMhkarRa1WU1RURKU/s7E7IO0Kgl9v9PLa6PO16FUa9PkadCotQuGTVkEiuRSJpQyxQor4secSa2xKwdHRkdDQ0EpvskhfupS02XOos/YXFOHG+xxOPzmdDVc3sOmlTfjaF99NqdfpuRVjsNlJvGaw2akf7oKV/ZOZy8L8TO5e2EnqrVNIJGbUCmxPrYD2SO8XvF/PvsH+O/toUasFoU7Va59UHrbOFtRv4orMiDq7ooQEbg8ZUqbA0hfpUB5LIu9AAkKhFouGzth2qoPUqfiuS6PtcbaMhUt/wPuXwaLyTW5N4sqEiZpFjRBXH/xzibVmGuRage45MMzOlrBgV2RuigplTzIzMzl27Bjnzp1Dr9cTEhJC69atcXWtXPHt0Y1rOfH7r9XjaVfNCDo9hbFZqM6mUBCbCToBmZslinAXFA1djDOR1WnRn1tL/u7ZKLMzybNvhLJOV5R6hWHJLiODvOwM8nJy0Gq0CBIJglgMYgmCWIJMYYnM0gqphSUSuRyRzAyRVIogkqAHtDodBcnJFIlEaM3MjBZNlVt2EkDQG7wcMWK8UMqfeWp4OaEEQcDBwYH27dsTHBxcoXYhutxcbnTugkXDMLwWLzZ6HBi+/Lv/0Z0gxyCWdF5S5s8sI1HJhQMJXDudgvaxjQOPo9dmoCk4ir7oOogskFlEIJE3QC8YMphiY3+u1YUgIAhgrpAS2NKdkLae2DqX3UC36O5dbg8ZiqBS4bVqJfKAAEMonZ7808nk7r2LPq8IeYADNl3qYFar7Bu5B/Y4ver34qtWX5V8UvIFWNQaOk+FVu9W6lLBJK5MmKhp1AhxBRCdkM2yG/f4U6dGLYbGmVr6Z0K3WvbYBDth5mVjdO1MXl4ex48f58yZMxQVFeHn50dkZCS1a1dsSUOjLmTlB2Mxs1Aw+Jt5iJ9RCwhjEQQBTVI+qqgUVDGp6PO1iK1kKBq6oGjsUuzLQtDrSYq/SUJ8PLlZmShzclDm5VKQn0+BSoVarUaj0SCIxQj3BRNiMYJEAhIpgkhs9C47c3NzzM3NMTMze/hnc3NzpEVFFO7ejYWDA84vv4y5XP7E8afPl8lkFRdXV3fCr/0huA/0W1Fxj0a9gC6rEE1awf1lxkf1XULBo2yXSCZG6mLYtShzVpDroOOmJomLZ2JITU3Fzc2Njh07Ur9+faOuIXXuXDIWLabuH5vLXcoqibVX1vLNqW/4of0PtPeqHuPsezeucuTX1dy5GIPWSsppnzS+GbWS+o6V7DVWSQRB4N6NHC4cSCDuXBqCIFAnxJEG7TypHehQ6v8FDwVWQQG1f16BoHYkZ9dtdJmFmHnbYNvVG3Nv2xLHlsSP535k8fnFfBv5LS/WK8WHcWUPyLwF78ZUqjErmMSVCRM1jRojrh6QqdGyLj6VlYnpJAh6XAr19L2roW+WgIevIxYhTpjXszVq6UalUj3s+l5QUIC3tzeRkZHUq1fP6C/w6yePsW3OdNoPG0Xjbi9V6doqiy5XjepcGvlnU9CmqEAiwiLIEUW4K3JfO3Q6LVn3Ekm+HU98XBzJKclkKVUUIEKQlrbbUUAiEiGVSDGTSTE3lyM3l2FRlIYi+xrmggozFz/MfdtgbutSohB68JpMJiszY5O9+Q/uffpptdvjAJAaa+g67lgPhu8Es+rZ1ACGL3h9vsYguB4TXom52Szzust2+7qoMaOZ7iYvivSoLiaRk52Dl5cXnTp1wsvLq9TY2vR0bnR5Aet2bfGYM6dS89PoNfTb1g+tXsuWXluQSapvZ+uWvT9zYsM6nHPMcajlSav+g/Ft1vJfKWZXZqm5dDiRS4cTKcjTYOtiQWhbTwJaumNuUVzMqG/fJuHd6cg8OyC2qoXM3RKbF7yR+5fSD6wMHtjjXM++zm8v/VZyzdkDS6FXVkFw70pdo0lcmTBRs6hx4uoBOkFgT0Yuy++kcignH5kAnVO0vBqvJlQtQh7ggEWwI3I/B8TmZWeU1Go1UVFRHDt2DKVSSa1atYiMjMTf37/cZRxBENj09Wek3LzOG98vRmFbinFuNSNodBRcyiD/bCrq61kggNRTgba2iGx5Ommpd0lKuEtaZhZKrQ693BK9mfxh1sZMBHaWCtxdXXH38MDOyRlbJ2csraweZohKvfb8dDg8B04vAwRoMgIiPwCr0neUlXktgkDShA/J3bmTOmvWoGhcdXscAFSZBs/AonyDtY3ts/WjvJWfx8zYk2zLtUUniGknvY6bBnaIapErssFDn0xndRK2V1NR5xTi5+dHhw4dcHMrXpyf/PV0statw2fHdsy8vSs9pyOJRxizZwwTmkxgaPDQKlzdI3LUOfTe2hsnuSNTXd7hxMZfyUy8i5uPL637D6VOg4bV8j4VRafRE3fO0Hoi5VYuUnMJARFuhLTzwPF+1lZ9K4ecnfEU3c5FX5iB5uY/1PpuPBYB/pV+3yRlEv3+7Ie3jTeruq16wh4HMDRrvbwFAnpUuu2HSVyZMFGzqLHi6nGu5xeyMjGdDcmZKHV6QjViXrlZSMc7aszFYuS+dlgEOyEPdEBiWfrdu1arJSYmhiNHjpCVlYWzszOtW7cmJCSkzILkjIS7rP5oHEFtOvLC6Heq/foeIAgC6pvZ5Jy4S1FsDiINaKRF3BPiuZIdQ1pRNjoLS3QWlujlivv1RWAmkeBkb0ft2rWp5+9Pba86KBQKCgruciPuOwoL71HbcwguLi8iFldg2SInAQ58A9FrQaaAFv+DFuMqZXxc3fY46DTwy8v8v/bOO06q6vz/7zN9dna2995ARbArYDB2saAs2DX2gppiSeIvfpNojCkaW0xiLFFR7I1uQSkiiigWVEDawvbed3ZnZqec3x/3Lix9G8xePO/Xa14z984tnz07c+dzn/Oc51C+Aq5+B7KPG9zx9sAPHZ08uOFr3m93YZIhzrCv5o4RRzA6RTOJnd5OZny1kFd8go3mHJzSywT/OnI3V2FpCDJmzBhOPvnkrQMsAlVVlJx5FrHFxaTf9+dB67tl4S18U/8N86fMJ9GZOOjj/fHTPzKvZB6vnvMqhyQeQjgUYu3Hi1n+1it0NDaQM/owJlx6FelFAzcsuyMQaKe+/h1qamcjw92kpp1HWuq52Gzbj9itL9NLT6ysJxQMU1Tg5hC7GVNNJya3jZjTcrAm+ym/5mpkd7eWgzVy5IB1fVD6Ab9e+muuG30dtx1922D/zJ1Q5kqhMBYHhLnqoSMY4s3aZqZXNbKxy0+CycQFXgtT1nhIbvCDCex5sVpE69AkLHG7rukUCoVYu3Yty5Yto76+nri4OI4//niOPPLI3VZ9/+jFZ/nqndlc/peHSSsa+EV6q4ZggJaaapqrK2krqUZsCRLbEYeTaNrDHtYF1lERrsbjgJAjirAekbKYzaSmpJCTl0dWVhaZmZnExsZu190RCnVRWvoE5RXPAGYcjjS6urbgdOSQm3sj6elTMZn6UXi1YQMs+QusnQPOBC2Kdez1/Z5CpWd6HPdpp5H56COD62J697fwxdNQ/AQccdnAj7MHvmrz8ODGNXzUYccuvZxt+4pfFR3Bwak/2a32JWtW8Ex1KUvNhQSFldGBDYyq2URCWTfHHHUMJ554Ih1/v5/2+fMp/GAB1l1EtfrL5rbNnD/nfIpHFHPP+HsGdazlVcuZtnDa1jn2ehMMBPjuw3dZMesNvO1tFB07ngmXXEFi1u67P/tCOBykuXkZNbUzaWxcSDjcjcs1ApPJTkfHaoQwk5hwImnpU0lOOmW7z66nvJ3atzbiqO+iOywpM5mIOSGDUT/Nwum20V1aquVgBYPaKMJBGKx7P7uXtze8zVOnP8X4jPGD+pt3RJkrhcJYGMJc1dW/S3vbKnJzb8Jm23v5BCkln7R4eLaqgQ8a2wGY6HJxSSsctrqNUL0XAGtWNM5Dk3Aemog1ZedcnHA4zMaNG1m2bBmVlZW4XC7Gjx/PMcccg8OxvXHwd3Ux/fZpuJOSuey+h/ZYRXv7/TpprqqkqaqC5upKmqsqaK6qxFPfRJZzJFnuUQhnDA2mdqrNjTRZPHjDWhK1EIKUlBQyMzO3PpKTk3cbZZNSUlc3j00lD+D315Kaeh5FhXdit6fS2LiQ0tInaO/4DpsthZyc68jMuBSLxbXLY+2Sqq9h0Z9h8xJtcugT/x8ccXm/knh7Sg+k/+U+4i4YYKXvL6fD/Nu0KNrEvw7sGLuh57P1UMkGPveYiZYdTLIu55bCwxiRPhEh+vZ/r6iv4qnVnzCLZJpEAknhRo5u+Za8LR4O+fIHjj/iCHLu+t2Q6X7giwd4Zd0rvDHpDQ5KGFhEqSvQxZQ5U7Bb7Lx57pvYzbs24N3eLr56Zw5fzp9JwOdn1E9P4fgLLyMmOaVf5+vwrKO2Zia1dXPo7m7Eao0nNfVc0tOm4HaPQQiBx7OB2tpZ1NbOwd9dh8USS2rqOaREnwtfxNG1sg5hNuE6PoPmRCffL6+hcl0LZouJEcekMObkLOJk81aDlfvC89hHDCw53xv0csn8S2jvbuetc98akihhD8pcKRTGwhDmqmTzI5SWPoHZHEVOzvXkZF+DxdK3elflXj8zqpt4ubqJlmCIg1wOroqN4azqIKa1zQQqOgCwJDtxjtaNVmb0dpEHKSWlpaUsW7aMzZs343A4OO644xg7diwu1zbzsfbjxbz3+COccdOvGHPyGdvt72lpormykubqCpqqKmnRnztbmrduJ8xWMrKOwOnMoDMcpkF00GrybK0EEBcXt52RSk9Px2brWw5He8dqNmz4M21tX+F2j2bkiD8SF7f9tVpKSUvLckrLnqCl5TMsljiys68iO+tKrNZ+5JJt+RgW3gtVX0LiCDjl93DIZOiD4ZThMBXXX0/X19+Q//Zb2Av7Wdm69FOYcZ5Wk+uyN8A0NCM4w1KyoLGNRzeX8l0XxMlmJluWcH3BGAozpvavO7UX/kA3r325kBc7/aw252OV3RzZtYpDK+s5+9ATGTt2bJ//x3uizd/GpFmTGBk/kmfOeGZAUcG/ff43Xlv3GjPOmsERKXvPq+pqb+OLOW+xasF8kJLDTj+LcVMu3mNeor+7kbraudTUzsLjWYsQVpKSTiY9bQqJiSdhMu26LaQM0dz8KTWVb1Pf+CFS+LF1ppNkmUjOsVfiSsrdum1zdSffL61k3Ypagv4QqfkxHHyoHes/foUIBTSDVdS/uRV72NCygUvnX8px6cfx+KmP6yUqBo8yVwqFsTCEuQLwdG5k8+ZHaGj4AKs1gby8W8jKvKzP3VfeUJjZ9S08V9nI9x4vbrOJS9ITuCImloySDrxrGvFvaYMwmGPtetdhIva8WIR52w9RVVUVy5YtY926dVitVo4++mjGjx9PbGwsUkpeu/tOWmqrOfrsydsiUdWVdHu9W49hc0aRkJmNKy0D3HH4AyZaWjw0dLUQQqsz5DDbyEjLIKswh6ysLDIyMoiO7n8B1e7uRkpKHqa65k2s1gSKCn9DevoFe42wtLV9Q2nZkzQ2LsRsjiIz41Jycq7Dbu9jTTAptaKdi++DhnWQfoRWiLTwlL2WQgjU17OleAqW5GTy3ngdU1/nhmwpg/+drHVNXr8QnIMfXBAMS2bXt/BYaSUbvWFSZC3F5gVcmTeG/KzLMe8mejMQPln6Hs80lrMk/nD8wkFBsIRjGkq4KO8njDtuLBbLwAxcD6+te42/fv5X/nnSPzk199R+7ft13ddc9f5VXH7I5fzuuP5F1NobG1jx9qusXrIQi83G0ZOKOWbSFOxR2o1JKOSnsWkxtTUzaWpeipQh3O4xpKdPJTVlUp+i1WF/CM+nVXR8XEkw6KH72HW0pX1KW+eXgCA+fhzpaVNJTp64NRrr9wZZv6KG7z+qorWuC0eUiYyyJWQ2ruSgZ/81YIPV0853HnsnV4y6YkDH2BFlrhQKY2EYc9VDW9sqSkoepKV1BQ57BvkFt5KeNgUh+hahkFLyVXsXz1Y2MK+hlaCEkxPcXJuZxEkOJ93rW/CuacK3oQWCYUxRFhyHJGpma0T81mrm9fX1fPrpp3z33XcIIbZWfQ+2t/LK7+8gHAoRnZBIQkYWCZnZuFPSCTqceIIhGpqaqaqsosvbBYBZmkiUbtLjUsg+KI/8Yw8iITlxUDlH4XA3lZUvsaX0X4RCXrKzriI//5dYLO5+HcfjWU9Z2VPU1s1DCAsZ6eeTm3sjTmcf82jCIfjuDW2etbZyyDsBTr0Hso/d83mXLqVi2k3E/+xnpP3h93s/j98Dz54B7ZVw/WJIGtgPYw++UJjXa5v5T1k1Ff4wWbKcKab5XJh9KAW51/a7HftC+fU34Fu9mtiZr/HMhi94MxRLrSmFWNnK2I7vuSJ5FKeOO7lfhUh7EwwHuXDehfiCPuYUz8Fm7ltEzBf0ceG8CwmEA8w8b+buq5HvhebqSj59/SU2rPgER3Q0R08dS0x+Aw2N7xEMtmO3pZKWVkxa+hSiXX3rmpPBMJ2f19C+pIKwJ4DjkARiJ+Zh1Sem9nrLqamdTW3NLLy+cszmKJKTJ5KeNpX4+HEIYUKGJRXrmvn+oypKv2tEyBAp7T9wzLRTyT1xVL+/h1JKbl1yK8uqlvHy2S8zKrHv8xnuDmWuFApjYThzBdrFq7nlU0pKHqKj43uiooooLLiD5OQz+nUhrPMHeKm6iRnVjdR1B8l12LgmM4lL0hOIkQLf+hZ8axrxrmtG+kIImwnHQXqJh4MTMDkstLS0sHz5cr7++mvC4TCjRo3iyNGHIixW6hsbqaqqoqqqipaWlq3nTbDGkOhzkRyOISMxlaxjinAflYY5evDdPwBNTUvZsPEvdHVtJjHhp4wY8QdcrsFNHNvVVUZ5+f+ornkbKYOkpZ5Lbu40oqP7mL8T9MNXz8PHD0JnAxx0DpzyB0jd/Q9P3d/vp/mFF8j6739xn7KHIpjhMLxxBax/Fy5/C4r6F5XpjScY4oXqJp4sr6UhEGYEGziPOZybcTAF+TfvNCptqOj84gvKr7yKlDvvJPHaawBt9Oqsb5bwXGsLq8xFmAhzpH81FztjuXTCuQOKZC2vXs60D6dx+9G3c+3oa/u0z6NfPcpzq5/j6dOfHnSits9Xzca1z1BTMxOzs4Nw0ITTfDQHH3YziUkT+n6TFJZ0fVNP+8IyQi1+bPmxWgHQ3F2PMpVS0tb2FTU1b1NX/y6hkAeHPYO0tGLS06cSFZUPQFuDl2/nruGHz2oJWqKIT7Jy+MQCRh6XhnUvJV160zM9jtPi5I1JbwzYkPagzJVCYSwMaa56kFLS0LCAks2P0NVVQkzM4RQW/JqEhJ/06ziBsOSdhlamVzXyeVsnTpPg/NQErs1KYlS0ExkM49/chndNI961TYQ7AmAW2AvjcB6aiHNUIl34WbFiBStXrqS7e9vEwzExMaQnpJLUHU18jZkErwtHtJOoI1NwHZ269Q57KOjq2sLGjX+jsWkxTmcuI0f8gcTEk4e0sKPfX0d5xXNUVb1CKNRFUtJp5OXeTGxsH2sb+T2w4glY/i/wd8BhF8PJd0F83k6bhru7Kb3kEoLVNeTPmY11d9MULf4rfPwPmPh3GH/LgP6u5kCQZyobeLaygbZgmDGs5jz5JqekHUxB/q9wOjMHdNy+IKWk7LLLCVRXU7jgfUyOnUdZfr95LY9t+ILFthF0CRfZoXKmSA+/PP5c3K7+RdF+ueiXrKxbyfwp80ly7tksrmlaw+XvXM7kosnce/y9/TpPD8FgJw0NC6ipnUlLywpAEhd3HPbwsXw/r5TqdZuJT8/kJxf/jJFjf7LLwSAhTzfdlR66KzroruggUNlBuCuINTOa2Il52EfE9flzHgr5aGj4gNraWTQ1fwKEiYk5Uu+GPAerNZbO9Zv44jf/pjzhODzOdOxRFg4+Pp0xJ2YSm9w3o7SydiXXf3A95xacy18m/KUfLbYzylwpFMbC0Oaqh3A4SG3tLDZveQy/v4b4+OMpKvwtMTGH9ftYqzu6mF7VyMy6FrxhybhYF9dmJXNWUixWk0CGJd0VWo6Wd00ToSYfCLDlxOAcnQiF0ayv3oRT2IlvtGJa4yFY7wVLr6rpRfHb5XENlmDQQ2np45RXTMdkspOf93Oys6/qXzmFfhIItFBR+SIVFc8TDLYRHz+evNybiY/vY5Xurmb45FGtXEI4BMdcAz/9LURvP6LMv2ULW86/AOfo0eRMfw6x40jI1TPhrWvgyJ/Bef/p99Q2Nf5unixvYEZ1I96w5DjxNZPCrzEuuYiCgtv73D01GDqWLKHy5ltIu/de4i++aI/bNrc18+jyObxrTabKnIVLdnBGsJRfHjSWUbl9KyNQ1l5G8Zxizis8b4+GKRAKcMk7l9Dqa2VW8SxibH2vPSZlmJaWFdTUzqShYQGhUBdOZw5paVNJTyvG6czWt5OUfPk5n7w2g6bKclLyCjnhwitISygiUOmhu1IzU6EWv3ZgAdbUKKxZbpwHJ+AYldjnaa92hd9fR23tHGpqZ9LZuREhbCQnnUp6+lRcrZmUX309ra4cms/6FaUbughLSe6hiYw5KYucUbufZqeHx1c9zpPfPsn9J9zPOQXnDFinMlcKhbE4IMxVD6GQn6rqVygt/S+BQDPJyRMpLLgDl6v/+TctgSCv1jTzfFUj5b5u0mxWrsxM5IqMRJJtWq0rKSWB2i6t63BNE4GaTgDMiQ5CzT6QYMuNIeqoFKIOS8a0i6k4BoOUYWprZ7Gp5EG6uxtITzufwsLfYrcPrFL6QAgGPVRVv0Z5+bN0d9cT4z6MvLybSUo6rW9lCdqrYekD8PWLYHHAuJvhJ78Cx7b53VpnzabmrrtIvu1Wkm66adu+1avguTMh/XC4ai5Y+m4mt3T5eby8ntdrmwnLMBNMX3B26BXGxOdQWPgbYmMO708zDBgZDrNlylTCPi+F8+cjdlNHbUd8Ph/PLX6LuaYQ39lGIxEcHdrEdQmJnHvESVj2Ms/lgysf5MW1L/L6pNc5JHHX8xY++e2TPL7q8X7NTdjZuZna2pnU1M7G76/BbI4mNfUc0tOmEht79E7GW4Ykgfou/OVtNHy5EV9pK9GmuK2j7MxxdmzZbu2R5caaGb3XGRcGgpSSDs8aampmUlc3j0CgGas1kWTHiYTu/xh7vZ3E/zzLxnIza5ZV423vJjbZyZiTsjh4fBr2qF3/34LhINcuuJYNLRt4c9KbZMf0b/7SHpS5UiiMxQFlrnoIBjsor5hOefmzhEJdpKdPpSD/VhyOjH4fKyQli5raea6ykY9aOrAKwXkpcVybmcRRMVHb/VgEm7x41zbh39SKNTMa11GpWJKcQ/mnbaWtbRUbNv6Z9vZviYk5gpEj795vhmBXhEJ+amtnUlb2NF5fOS7XCHJzbyI1ZVLfyhQ0boIlf4U1M8ERBxNuh+NuBFuUNj3Ob++k/b33tk2P01GnjQxEaFPbRPethtJaj5d/ldUxt74Vi5CcYvqMM4MzKHSnU1j4m353KQ+WtvnvUP2b35Dx0EPETup/ZMPr9TJ3ybvM8VfxZezhtItYMsK1XGT2cMORp5AYu+uRdu3d7UyaOYmCuAKmT5y+k+nZ1LKJC+dfyOk5p/OPE/+xRw2BQBt1dfOpqZ1Fe/s3gInExBNIS5tCctLpmM1aN6eUklCrf2vXXndFB4EqDzKgjZAVDgvWLBctgTrWrP6ImpZNZB45mgkXX0FSTl6/22aghMPdNDV9rBctXYyUAay1Flyrohh547NE5R1ByTf1fL+kitrNbVjsZg4am8aYEzNJzNx5RG+1p5qfL/o5fzr+TxyePLDvqDJXCoWxOCDNVQ/d3U2Ulj1JVdVLSAlZmZeRlzfwpORNXdo0O6/VaNPsHO52cm1mMpNT4nCYh6aezd7w++spKXmQmtqZ2GzJFBXeSVpa8R6jRP5wmI5gmM5QiI5gCE8oTEcwRGcoTEcohFUIiqIcjIiyE2sdXHQtHA5SX/8upWVP0Nm5AYcji9ycG0lPv6BvZQtqvoVF98GmD8GdDifeCUdeQcjr16bHCYXIfuq/2Jf+AupWw7ULIH3v3b9ftnXyWFkdHza14zJJzjQv55Tu58iIShrQYIihQAYClEyahMnhJH/WzD4Xnt0VHR0dLFq6iAWtP7Aq9SC2WApwSC9nhEu5KW80RxWN2WmfN9a/wX0r7uPhEx/mjLxtddlC4RBXvnclFR0VzC6eTYJjZ4MWDge0quk1M2loXISU3bhcI0lPn0pa6mTs9hTCXYHt8qS6KzsIewLaAcwCW0b01qiUNduNJdGx9X/Q7fPy9btzWTn3bbp9Xg6ZcBLHX3g5camDr1jfHwKBFurq3qGq9BU83eshDPGusWQWXE5S0mk0V3Xz3UeVrP+iDq+QxI+MJWdcKrFFMXRJ9O9biPZgiLOT48hyqLkFFYofAwe0uerB56tmy5Z/U13zFmazk5zsa8nJuW7Aw+k9wRBv1rXwXGWDNs2O1czl6YlclZk04IvnjnSHw1tNkCcUpj3gY0vtAkrrFtElbTjifoo1Zhxd0oJnR8OkL3tCITqCYQL9+B8n2yyM0I3WCJeDEUM8dxMAAB9oSURBVFEOiqLsZNit/TIfUoZpbFxMadkTtLevwmZLJif7WjIzL+tbAdjST2HRvVDxOSQUwMm/xxsqouyqq5F+P47EbuKmXkjMdb/DHLfrelZSSpa2dPCvsnqWt3qIM8O51k84wfs0ifZY8vNvJS2teMAFQAdLy+tvUHvPPWQ98V/cJ/et222vx2xpYcmSJXxa+x0b8rL5xnEYQWHlsNBmroyO4uJjTsVq0bqwQuEQF82/iM5AJ3OK52ytuP7Cmhd46MuHeOCEBzi74Oztjt/RsZaa2pnU1s4lEGjCak0gLfU80pKLsbXnEKj0EKjooLvSQ7BxW203S4oTW5Z7m5lKcyEsezeTXk8HK+e8xTfvzSMcDnPYaRMZN/USXHHxg26rsJTbf196vkehEJ6g9typP3tCYZqaqqivXI0nzk6X2YFPuPCb4vDhoCu89+/Gi2PyOT0pdq/b7QplrhQKY/GjMFc9dHaWsHnzo9Q3vIfVGk9e7s1kZv5swIUgpZR82urhucpG3m9sA+DMpFiuykwixWahIxiiQzc5nuA2s7PjcmcotP0FPRTGH+7b/8VlNhFtNuG2mHGZTbjNZqItJqLNZqItZtzmntfaNtH6Ni7Ltm19IcnGLh8bu/xs6vKxsVN73RYMbXeeoii7brwcFLm01/lOO9Y9JPVKKWlpXUFZ6RM0t3yKxRJDVtaVZGddtffikFLChgXalDr1ayBtDIHYw2mfM4u2+lz81a0Iq5XoU04htngy0RMmIKxWwlLyXmMbj5XV8V2Hl1SrYIrtU471/Ae31dXvArT7grDPR8nEM7Gmp5P76itDHjWrq6tj8eLFrClfR+WIeFbGjaFJJJIkmzhfNDFtzAlkJKXzec3nXP/B9fzqyF9xw2E3UN5ezvlzz2dc+jj+dcq/EELg9zdQWzeH2tpZeDzrEMJKovskEoKn4aodTaDCq+Ub6p9Zk9ummagcLU/KlhWNyTE4A9vR3MiKt1/ju8UfEnJGMXLiJLLHTqALQWdY4glL7TkU3rrsCUk6w+FdvtcZlnT18TtmFeAyCaJNJlzBAJbSzTgtXqKybFhkFXbpwW22kujMJznqIEINFprXtdJZ3oFDSgoL4hhzVAqHjM7C6RhYmoAyVwqFsfhRmase2tu/o6TkYZpbPsFuT6Mg/1bS0gY+hQlAha+bGVWNvFzTRHMgtMdtnSYTbss20xNtNm9bNm8zQbZQC57GeYQ7VxFrT+DgnEvJSDhaM0y6mTLvo64sKSWNgSAbOn1s6vJr5qtTM19V/sDW7SwC8pz2rRGu3tEut2X7xOO29m8pK32ChsYPMZmcZGZqVd8d9r109YRDsPptWPwXaC2DQ85DXvA8vnXraJs9h/b58wm1tCCTk/n0yut54aDD2RSS5DnMnG9dzpj2f+Iw2/o9ddK+pOm56dT/4x/kzHgB13HH7bPzVFRUsGjRIjaXbsEzwsWqlELWWgqxym5OCm1mWlYhb9a8xGc1nzGveB53fXIXPzT9wMxzX8fU9R01tbNoaloGhHCFDya26ae4NhyJqVMzCcJuxpYVvTXh3Jbtxhy7vWmVUtIVCm+90dhtF/VubkY6e9+UhMJ9+rtNoRC2gB97tx+r/mwL+LH1erbvZbnn2RLe/ffZZA0Rl99B/Mg23JlaUeCOqihaNsTSusVNOLDtOzDugtv5yYUDq8GmzJVCYSx+lOaqh+aWzygpeYj29lVERRVQUHA7Kcln9nny3V3hC4VZ0txOULKzgTKbcJnNWPYyfDsQaGdL6b+prJyB2ewkP/9WsjJ/hsnUt5Fk+5rOYIhNXj8bexmvDZ0+tnj9BHt9nNLt1m3RLpfe1RjlIKp7M+UVT1NXNw8wkZ4+ldycG4mKytvziYPdsGUp5E0A67YIQJfPzwvLv+Qpr6Q2KpqC6jIu8C/gsNxFmEwmsrOu6POk3/uDkMdDyWmn4zj0UHKefWafn09KSUlJCYsWLaKmpgZLjpv1mcl8bB2JXzg4KFRGYesXNPIddn8F09JHY+Y7uggS8Gdgrh+PaDqaYCgVX7IDf7IDX7wdX6yNTodpa+7eVoPUywj1dLX15SpjFmwXed0+CqtHXPWbD9nWQqipnigkLiRO/TlKf1jpd1WOfhGoqaHpf8+A1UrSjTdgSUwkKBvxyRV45QpC1COwYRdHYguOpakkjbGTTyY+vX+TV/egzJVCYSx+1OYK9AhN44eUbH6Ezs6NuN2jKSz4DQkJE/Z/grMMUV39JiWbHyYQaCEj4yIKC36NzZa4X3UMlEBYUubzs6lTN1xdvq2ve0ccYiwmiqIcFNhDJPi+wt3xPumynDHJR1GQfxPu6IP7dL72YIgXqhp5qqKBxkCQY2IcXGj6hOymh5F0E7XchHuBlZjRJxA3eTLRp57a93kK9yEN//4PjY8/Tt5bb+Ecfeh+O284HOaHH35g8eLFNDU1kZSdQm22m3fMqdSYUoiWHdjw48OJDyfhPtxkmAVbI647dkNvF5G1bB+V7W2YerZ1mMR+/84NBt/69ZRfdTXC4SD7+ekEEhNpb2+nvb2d1tav6OpaiGQlQvgIBKLJz/szBx00eUDnUuZKoTAWP3pz1YOUIWpr57B5yz/x+aqIixtLUeFviY09cr+cv7X1SzZs+DMdnjXExh7DQSPvxu3efz+8+xIpJXXdQTZ26oara1vUq7a7VxcjAdJkDXm2bsYkFjA6Po8RLgeFUXZcveo2NXZr1dSfq2qgPRjmpHgXlzi/JK72IUKhVlJSzqYg/3YsddA2ew5tc+cSrK3F5HYTc9ZZxBZPxnnkkRH5IQ+2tFBy6mm4Jkwg61+P7ffzA4RCIVatWsXSpUtpb28nryCfUK6bD7ydOCzJpLnziIuLxu2wbjNMlt4GSjNNLrMZp8EM0UDo7u6mo6OD9vb2nZ7b6utprazEa7cjdxjtKYQgJsZJamot8fHrOOSQ+8jLO3pAGpS5UiiMhTJXOxAO+6mqeo0tpf8hEGgmKek0Cgt+TXR036pf9xefr4ZNJQ9QVzcPuz2NoqLfkZoy6YD/weqhPRhik55Av97TxuqmEjZ6g9TJZMK95pnLtFsZ6XKQYLXwbkMrvrDk7KQYLo36FkftQ/j9tSQknEBhwa+Jidm+7IAMhej6/HNaZ8+m48OFSK8Xa24OsZMnE3veZGxZ+25qmx2pu/8BmmfMoGDeXOyFg5vvcbAEAgFWrlzJsmXL8Hq9HHzwwaSnp2O327HZbNjt9q2PHZcHOnn0cCIcDtPV1bVb49Tz2ufz7bSvzWYjJiYGt9uNS0rCixYRFQ6Td8stxOflERMTg8vlGrJ2UuZKoTAWylzthmCwk4qK6ZSV/49QqJO0tGIK8m/D6cwakuOHQj7Ky5+htOxJIExOzg3k5U7DbB7cBK8HAsFgJ2VVb/BF+TxKA06a7EfR4jye8lACVf5uTkuI4dLodVD9IF1dW4iJOZKiwt8QHz9ur8cOeTrp+OAD2mbPpuuLLwCIOvZYYouLcU+ciDl66OZ63JFAbS0lZ0wk5pxzyPj73/bZefqLz+fjs88+4/PPP9+lkdgVVqt1rwasLybNZrPtE6MWCATo6OjYySjt+BwOb58gL4QgOjoat9u91Tzt6tm+Q/ey74cfKL/6GoQritwZM7BlDc11opcuZa4UCgOhzNVeCARaKC17isrKGUgZJjPzEvLyfoF9gIVItcmmP2Djpr/h81WSnHwmI4ruGjLTdiARDvupqZ1NWdmTeL3lREUVkpF+AXV18+nwrMHlGkFhwa/1qXb6H+kLVFXRNncurbNnEygrRzgcuE8/ndjiybjGjdt5HsNBUvPHu2mdPZui99/Dmrn/omX9IRQK4ff78fv9dHd3b329u3V7Wg6F9jxqtger1dovQ9azLhQK7Tbq5PV6d3mePRkmt9tNdHQ05gH+331r11J2zbWYXS5yZswY0oioMlcKhbFQ5qqP+Py1bNnyb2pq3sRkspOddTW5uTf2qxCpx7OeDRvvo6XlM1yukYwceTcJ8eP3oeoDg3A4SH3De5SVPoGncz0ORxYF+beRlnYeQgzeAEkp8X6zirY5c2h/913CHR1YUlOJPe9cYouLh6T7rru0lJJzJhF/6aWk/eH3gz6eEQgGg3s1Y30xbH6/f6cI0464XK7tjNLuok37urvdu2YN5ddeN+QGS5krhcJYKHPVT7q6tlCy+VHq69/BYoklL/cmsrKu3Dp/2q4IBFrZvPmfVFa9jMUSQ2HB7WRkXBKxyuBGRUpJZ+cGoqLy9lkB0LDfj2fxYtpmz8HzyScQCuEYM4bY4snEnH02lviBVQavuuPXdCxZQtGHH2BJGljU88dMMBjcyXyZTCbcbjdut3vA0aZ9gXfNGsqvuRaz203ujBeGJEqpzJVCYSyUuRogHR1rKCl5iKbmj7HbUsnP/yXp6RdsV4sqHA5SXf0aJZsfJRhsJyvzcgoKbsNq3fV0LYrhRbChgbb579A2ezb+9evBasV90onEFhcTfcIJCFvfpjryrVvHluIpJE6bRsrtt+1j1YrhgHf1GsqvHTqDpcyVQmEslLkaJC0tX1Cy+UHa2r7G6cyloOB2UlPOobX1CzZs+DOezvXEx41j5Mi7iY4+KNJyFQPE98MPWlmH+fMJNTVhjo8nZtIkYidPxnHoqD12N1VMu4mub76haOGHmGNi9qNqRSTxfr+a8uuuwxwToxmsjIwBH0uZK4XCWAzKXAkhzgQeA8zAM1LK+/e0/YForkDrrmpqWkJJyUN4Otdjt6fj99fgcGQyouj/SE6e+KMprXCgIwMBPJ98QtucuXgWLUIGAthHFBFbXEzMpHOxpm5fgbvr668pu+xyku+4g6Qbb4iQakWk8H6/WotgxcYOymApc6VQGIsBmyuhZRJvAE4HKoGVwKVSyrW72+dANVc9SBmirm4+VdWvkxA/npycG/aYi6UwNqG2Ntrfe4+2WbPxfvstmEy4jj9eK+tw6ikIh4PyK67EX1ZK0QcfYHIObNJehbHxfv89lT//BZmPPEzUMQPzR8pcKRTGYjDmajzwJynlRH35LgAp5d93t8+Bbq4UP178W7bQNkevBl9dgyk6mqixY/EsWkTq3X8k4bLLIi1REUHCfv+gpl5S5kqhMBaDqd6XCVT0Wq7U122HEOJGIcSXQogvGxoaBnE6hWL4Ys/PJ+W22yhauJCc55/HfdppdH72GbbcXOIvuCDS8hQRZjjMaalQKPYfg6kFsKskop3CYFLKp4GnQYtcDeJ8CsWwR5hMuMaNxTVuLGn33I0Mhfs8qlChUCgUBwaDMVeVQHav5SygenByFIoDB5VjpVAoFD9OBtMtuBIYIYTIF0LYgEuAuUMjS6FQKBQKhcKYDDhyJaUMCiF+ASxAK8XwnJRyzZApUygUCoVCoTAgg5p/RUr5LvDuEGlRKBQKhUKhMDyD6RZUKBQKhUKhUOyAMlcKhUKhUCgUQ4gyVwqFQqFQKBRDiDJXCoVCoVAoFEPIoCZu7vfJhGgAyga4exLQOIRy9jVG0mskrWAsvUbSCsbSayStMDi9uVLK5KEUo1Ao9h371VwNBiHEl0aaW8tIeo2kFYyl10hawVh6jaQVjKdXoVAMHNUtqFAoFAqFQjGEKHOlUCgUCoVCMYQYyVw9HWkB/cRIeo2kFYyl10hawVh6jaQVjKdXoVAMEMPkXCkUCoVCoVAYASNFrhQKhUKhUCiGPcpcKRQKhUKhUAwhylwpFAqFQqFQDCEHlLkSQhwnhIgVQkTry8P27zOSVjCWXiNpBWPpNZJWMJ7e3gghRKQ1KBSKgXHAJLQLIZ4G8oBvgTjgb1LKLUIIk5QyHFFxO2AkrWAsvUbSCsbSayStYEi904AtQLuUcoW+TsgD5SKtUPyIMMxd3J4QQlwBZEopzwD+A5iBF4UQBVLK8HC6AzSSVjCWXiNpBWPpNZJWMKTeF4FJwFjgBiHEXwGklHK4aVUoFHvngDBXgB1YDyClLAO+AJqBJ4QQKcPszs9IWsFYeo2kFYyl10hawUB6hRAjgVgp5bnAX4H3gcuFEA+AZrAiqU+hUPSfA8VcLQYmCSF+L4Q4GLgEeBytOyAvksJ2gZG0grH0GkkrGEuvkbSCsfTagNFCiAy9u3Ij8BYwSo/AKRQKg2FYcyWEmNjzWkq5GbgQOAO4FZgrpVyAdtEaExmF2zCSVjCWXiNpBWPpNZJWMJ7eHqSUq4GXgY+FEDcAzwGrgFeBrEhqUygUA8MSaQEDQQjxCjBBCPGKlPJ3AFLKb4UQpwKhXmH0QuDrSOkEY2kFY+k1klYwll4jaQVD6v0d8KWUciGAlPKPQogyQAIPSilfFUIcDZwihLBKKQOR1KtQKPqH4SJXQohxQDZwDZAghLi/9/t6Ami8EGIG4JFSzoiETjCWVjCWXiNpBWPpNZJWMKTe54GbgNuEEGf1rJdSPiOlfFZK+aq+6l6gWRkrhcJ4GLIUgxCiEKhCC+//AqjpuVvV33cCZ0sp39aXIzb02kha9fMbRq+RtOrnN4xeI2nVz28IvUIIK1rS+lwgA7gK+LeU8n0htLILuta7gUQp5Y36fqokg0JhIAxjroQQhwJdUsotvdZZgMPRcipKpJT3CiEuAWZLKX36Nvv9omQkrUbTayStRtNrJK1G1LuDRgE4gSnARcATUsr5vbYp0PPGIm5cFQpF/zGEuRJCvIQ2wqcaCEspL+n1nh3IBX4HXADMl1JeFgmduh7DaNU1GUavkbTqmgyj10hadU1G0zsNKAdapZSf9VofB0xFq3H1X+Ac4AUp5Sr9fRWxUigMyLDPuRJCXAhkSSknAFcAsUKIt4QQDgAppV9KuQE4DJjVcxEVYv8X3jOSVqPpNZJWo+k1klaD6v0f8DPgKOANIcSVPe9JKVuB6cBM4D2goMdY6e8rY6VQGJBhb67Qar6UCiFi9YvmWWgjat7s2UAIcTawWkp5lb5sitBFyUhawVh6jaQVjKXXSFrBQHqFEPnAQcBEKeVf0ept3SWEuKZnG13XdcDrUsrJ+n6qKrtCYWCMYK5aADfaXR8AUsoLAZcQ4k59+V0p5dUQ8fwEI2kFY+k1klYwll4jaQVj6a0G1gJHC62kwqdoRupvQoipuj4H8I6U8me99KqIlUJhYIaluRJC3CGE+JPQigKWA28DjwohjhdCmPXNHtnVvvv7ImokrWAsvUbSCsbSayStYEi98fq5/UANcDV6XUEp5XJgGnCFHn3zSSkf0veLtHFVKBRDwLArIiqEmA7EoN3tXQaYpZSvCCFigIeA54UQ3wO3AOsip9RYWsFYeo2kFYyl10hawZB6/wkUCiG2AC9LbcTiHOBJIcQdUsom4CO0MgzB3vsqY6VQHBgMq9GCQohLgWlSypP05dvRatOcri+fjdYVcBhQL6X8hdLaN4yk10hadT2G0Wskrboeo+n9HxCHNlLxesAppbxNf+9VoAstknUE0CalvDxSWhUKxT5ESjksHsCVQDRajZoe05eANoomZodtrb1em5TWA0evkbQaTa+RtBpUbyYwG4jTl1PQom3H9NrmbOBG4He91olI6FUP9VCPffcYTjlXxcCdUspvpZQ94bQQ2gUqCCCEOE/PUQjoy0JGJoxuJK1gLL1G0grG0mskrWAgvUKIe4CxaN2WXUIIh5SyHm1ko61nO6kl2j8tpbxf308lrysUByARN1e9klFvAaQQYoS+3oZ2UWoALHpIfbyUsq1n3/19UTKS1h0wkl4jaQUD6BVC9HzPh71WXVdPLqgh9Op8iFZzK19K2S31avBAO2AHEEL8UQhxWO+dImhcFQrFPiTi5qoXXrQE+/EA+gWqQX/vI7T8hLsipA0AKWVIf+lhmGsVQhzaywx2MIz1CiEuFELE6ovDWiuAEOL3QogcfbGTYaxXaPPUOfTFYf8dA5BS9iR5ewErw1yvEEIAnwHvAwX6Orv+dguQJYR4Fs14fRcZlQqFYn8SMXMlhHhECPEI8A8hRKZ+9/ky8CshxCn6Nma0i9UmKeVN+rr9rlkI8aQQ4gOhTbqKlNKja/2lEOLU4aRVP+9zwOU9ZlBK2cnwbduXgPMAcy+tr+hah2Pb/hu4HZisd0F1sO2zMNza9mngaeAtIUT+cP6O6ed9UAhxnxDi/4QQhbre14ax3mwhRLTUQYuoXamv8+ubtQNPAS1Symv1/VSBUIXiACdSF6VngBzgXbSRNWMApJRrgXuBnwohEnVzcLaU8iJ9v/1eA0bvigAYBzzVc0eqa/0TcMJw0aqf91m0ZN//67VODNO2vQhIkFJeIaVsFhoOKeUahmfbPoGW7/P/gBN6uqD0tr17OOnVtSYAvwfWsP137M8Mo8+Bft6n0OYKfA/wAx8IIUbpkZ7hqPdZ4CXgn0KIhwCklDPRcqwe6bkRA8qABVLK3/TSq3KsFIoDnEjcTZ+LVqfmAinlQrQcipOEEFcIIXLRwv0x+gO0YcsRu4hKKbvRptW4HogFZuh68oHVgGu4aBVCnIQ2LP0lffl8IcQdwP/pepcyjNoW7X9frmu4FW3i2gVCiOOAz9Hau6e7MNJtewuQJKW8WEr5LJAthPhTr01K0Ea2Rbxt9eiOFfitlLJc13SeEOJxIcQhaPlBscNBq35eoeu9WWoFNp8GmoD3hBAjgU/QKrIPF703o0XPzgYeBo4RQszU3/4jUItWGgIp5f+klFMiqVehUOx/9qu50vNqFqAlqvbUsDkGqAOK0IZYm4BNwHN6FCMMEalgndJr0QWcKKU8H7ALIaqBx6SUZWgX+ohq1fXGASuAF4CDhRBvAL/V305E614BzQREum3T9JergUYhxOloI8P+DcxD6xZ0oEVcnh0GbesCnpfaFCs93AOkiW2VuDcAlUS+bVPR5tmLB36hR7BOBOaifc96DPa6SGvtpVegRa16JjR2AwuB14E/Symb0Ux4xPXqlACfSik7pZQ/SK0GV6oQ4iU9stYCTOy9gx49VsZKofiRsN8qtOtdgRlod3XzhRDvA+vRulca9W1ygEIp5X+FVn05Tt9+v6JrTRNCNAJvAcuBUfrblWhDrgMAUspH9K7CiGiF7dq2BPgaSNL1TZVSVuvbPA8USCkfF0K4I6W3V9vWokWnTkKLAszVu6zWCiESgTOllP8TQiRHSmsvvRlAvRBiNrBUStmC1tbHAmcCrwJIKR8TQkRFSq+uNR34AVimr04D7pZSzgXm6m07Tkr5lBAiIVJad9C7BvgAuEcIkQ2cAjwHTAceF0LY9bZ1RlJvLwLAKUKIAinlZn3dT4F3hRBnAf8DlgghyqWUL0HER7QqFIr9zH6JXAkhfoH2AzoVrajeeOBOtKTUxl6bZqPltAA8IKWMxA9Uj9YL0CIrP0XLW5kohOgxWVlAihDiNn23+yOhdQe9U4EKtDZ0AQ/1GCudbCBVfz0c2nYjWnSlBK1NDxH6kHvgULRoBgyftl0NHA/8WggRJ6UsAf4G3CKEyOu1W0T09tJ6PtCIZkIS0Ua2JvXa9BC2dbUOh7Y9Hy3S40Prfp8JXCSlfExK2Y6mPU/fLSKfWwAhxHQhxIsAUsolaBH4j3Qz2DOS+H0gQ2oDXq4GlkRCq0KhiDz7q1vQAiyUWu2Xx4B30AzAz4UQdiFEjBDiFWCLlPJ9iOid3o5a30MbBVSFZl7O1i+kJ0op/xlhrbC93kfR8lN8wFlCCIsQwiG0ekCbpZQLYNi07SNoUbY1aJHBKGCaEOJDtGlMno6wVtj5s/AuWs2in+tRlKVAPVr0BRg2bfswWu5iEG3gyCNCiP/qbVsqpZwRYa2ws97v0b5nxwOl+nXhPbTPwnqInF4hxN1oNwBO/TqFlPJetPzLxUKI04QQmcAZaFFOpJRrpJRVkdCrUCgiz/7qFlwKPC2E+ExKuUQIsRQtp6YYSAZuAjxSyhtha35CpC78O2r9CM0IxgKPSil9et6Hbxho3ZXeJWiJ4lPQooBXog0D78lzG05tuwjNrMSj/cDWA6OklJ/rWiOdALy7z+0UwC2lrBdCPCml/CyCGnvYldZoIIyWc5UPrOgxVsOwbRejJbUXo0XcjgG+llL+HiL+uX0ZzVj/AMwQQrwqpbxUSvkHIUQVcCGaqaqTUt4XIY0KhWIYsd8mbhZC3AgcB0yXUn6qr5uDllfxntTrwgyDi/6etM6UUr4QSW27Yg96XwDmS23E43Bu23nAmz0//Pq6SJvWHh27a9vZUsrpvbaLuN7daH0HeEFK+Uav7SL+OdB17K5tXx5uens06DlrTwEhKeXF+nuHokXdu3pvG0G5CoUiwuzP0YJvoIX+fymEuEBfZwZiexmr4TKiZldaTWhRgOHI7trW3ctYDee2FWgj3LYSaaPSi921bbD3RsNE7660SvTpV3oYJp8D2H3bOnpvNBz0ym0jFJuAnwNBIcSLQoi5wIRexmq4fM8UCkUE2W+RKwAhRDRaXsL9aIntSCmL95uAfmAkrWAsvUbSCsbSayStYEi9QkophTaauQEtgnlxpHUpFIrhxX41V1tPqtVksklt1vhhHUY3klYwll4jaQVj6TWSVjCk3ifRZkK4TF8e1noVCsX+JSLmajsBwyBXpa8YSSsYS6+RtIKx9BpJKxhDrxAiW0pZob9WxkqhUGxHxM2VQqFQGBUjGEGFQrH/UeZKoVAoFAqFYgjZ7xM3KxQKhUKhUBzIKHOlUCgUCoVCMYQoc6VQKBQKhUIxhChzpVAoFAqFQjGEKHOlUCgUCoVCMYQoc6VQKBQKhUIxhPx/5wwRdrDUIqMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_orders_with_bu_filtered = df_orders_with_bu[df_orders_with_bu['PurchaseOrderTypeDescription'] == 'Offline']\n",
    "df_orders_with_bu_filtered = df_orders_with_bu_filtered[df_orders_with_bu_filtered['MaterialGroup2Description'] == 'General published']\n",
    "\n",
    "migrated_customer_orders_df_grouped = df_orders_with_bu_filtered.groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "list_of_BUs = df_orders_with_bu_filtered.BU_Eriks.value_counts().nlargest(100).index.tolist()\n",
    "list_of_date_bins = []\n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    \n",
    "df = pd.DataFrame(0, columns = list_of_BUs, index = list_of_date_bins) \n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:    \n",
    "    months_bu_df = group.groupby([\"BU_Eriks\"]).count()[\"CustomerId\"].reset_index(name='count').nlargest(100, 'count')\n",
    "    for i in list_of_BUs:\n",
    "        list_of_active_BUs_in_month = months_bu_df['BU_Eriks'].unique()\n",
    "        if i in list_of_active_BUs_in_month:            \n",
    "            df.loc[name.date().strftime('%m/%Y')].at[i] = months_bu_df.loc[months_bu_df['BU_Eriks'] == i, 'count'].iloc[0]\n",
    "df.plot()\n",
    "plt.xticks(rotation = 45)\n",
    "plt.legend(bbox_to_anchor=(1, 1), loc='upper left', ncol=1)\n",
    "plt.title(\"Number of Gen Pub Offline Orders per BU, per Month\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>Sealing &amp; Polymer</th>\n",
       "      <th>PT - Hydraulics en PMC</th>\n",
       "      <th>Tools &amp; Maintenance</th>\n",
       "      <th>Flange Gaskets</th>\n",
       "      <th>PT - Open Drives &amp; Bearings</th>\n",
       "      <th>PT - Pneumatics en GMD</th>\n",
       "      <th>FC - Valves, Actuators &amp; Plastic Piping</th>\n",
       "      <th>Hoses</th>\n",
       "      <th>FC - Instrumentation, Steam &amp; Pumps</th>\n",
       "      <th>Industrial Plastics</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>03/2019</th>\n",
       "      <td>30</td>\n",
       "      <td>86</td>\n",
       "      <td>41</td>\n",
       "      <td>27</td>\n",
       "      <td>26</td>\n",
       "      <td>42</td>\n",
       "      <td>14</td>\n",
       "      <td>18</td>\n",
       "      <td>11</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04/2019</th>\n",
       "      <td>66</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>65</td>\n",
       "      <td>37</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05/2019</th>\n",
       "      <td>21</td>\n",
       "      <td>16</td>\n",
       "      <td>19</td>\n",
       "      <td>33</td>\n",
       "      <td>24</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>06/2019</th>\n",
       "      <td>33</td>\n",
       "      <td>6</td>\n",
       "      <td>47</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>15</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>07/2019</th>\n",
       "      <td>40</td>\n",
       "      <td>29</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>46</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>08/2019</th>\n",
       "      <td>33</td>\n",
       "      <td>16</td>\n",
       "      <td>5</td>\n",
       "      <td>36</td>\n",
       "      <td>14</td>\n",
       "      <td>16</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09/2019</th>\n",
       "      <td>31</td>\n",
       "      <td>56</td>\n",
       "      <td>34</td>\n",
       "      <td>20</td>\n",
       "      <td>14</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10/2019</th>\n",
       "      <td>28</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Sealing & Polymer  PT - Hydraulics en PMC  Tools & Maintenance  \\\n",
       "03/2019                 30                      86                   41   \n",
       "04/2019                 66                      20                   20   \n",
       "05/2019                 21                      16                   19   \n",
       "06/2019                 33                       6                   47   \n",
       "07/2019                 40                      29                   38   \n",
       "08/2019                 33                      16                    5   \n",
       "09/2019                 31                      56                   34   \n",
       "10/2019                 28                      13                    8   \n",
       "\n",
       "         Flange Gaskets  PT - Open Drives & Bearings  PT - Pneumatics en GMD  \\\n",
       "03/2019              27                           26                      42   \n",
       "04/2019              65                           37                      10   \n",
       "05/2019              33                           24                      13   \n",
       "06/2019               7                           21                      15   \n",
       "07/2019               0                           22                      46   \n",
       "08/2019              36                           14                      16   \n",
       "09/2019              20                           14                       6   \n",
       "10/2019               1                            6                       6   \n",
       "\n",
       "         FC - Valves, Actuators & Plastic Piping  Hoses  \\\n",
       "03/2019                                       14     18   \n",
       "04/2019                                        8      9   \n",
       "05/2019                                       15     13   \n",
       "06/2019                                       16     14   \n",
       "07/2019                                       13     14   \n",
       "08/2019                                        5      4   \n",
       "09/2019                                        9      3   \n",
       "10/2019                                       19      5   \n",
       "\n",
       "         FC - Instrumentation, Steam & Pumps  Industrial Plastics  \n",
       "03/2019                                   11                   14  \n",
       "04/2019                                    1                    6  \n",
       "05/2019                                   12                    7  \n",
       "06/2019                                    3                    4  \n",
       "07/2019                                   13                   13  \n",
       "08/2019                                    5                    5  \n",
       "09/2019                                   12                    6  \n",
       "10/2019                                    5                    7  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(n = 50)\n",
    "# Managed to reproduce these values in SQL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## % Offline Gen Pub Orders by BU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1d8eef242b0>"
      ]
     },
     "execution_count": 26,
     "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": [
    "migrated_customer_orders_df_grouped = df_orders_with_bu.groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "list_of_BUs = df_orders_with_bu.BU_Eriks.value_counts().nlargest(100).index.tolist()\n",
    "list_of_date_bins = []\n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    \n",
    "df_migrated = pd.DataFrame(0.0, columns = list_of_BUs, index = list_of_date_bins) \n",
    "\n",
    "for name, group in migrated_customer_orders_df_grouped:   \n",
    "    only_offline_gen_pub_for_scaling_df = group[(group['PurchaseOrderTypeDescription'] == 'Offline') & (group['MaterialGroup2Description'] == 'General published')]\n",
    "    only_offline_gen_pub_for_scaling_df = only_offline_gen_pub_for_scaling_df[only_offline_gen_pub_for_scaling_df[\"BU_Eriks\"].isin(list_of_BUs)]    \n",
    "    months_bu_df = group.groupby([\"BU_Eriks\"]).count()[\"CustomerId\"].reset_index(name='count')\n",
    "    only_offline_gen_pub_for_scaling_df = only_offline_gen_pub_for_scaling_df.groupby([\"BU_Eriks\"]).count()[\"CustomerId\"].reset_index(name='count')\n",
    "\n",
    "    for i in list_of_BUs:\n",
    "        list_of_active_BUs_in_month = months_bu_df['BU_Eriks'].unique()\n",
    "        list_of_active_offline_gen_pub_BUs_in_month = only_offline_gen_pub_for_scaling_df['BU_Eriks'].unique()\n",
    "        if i in list_of_active_BUs_in_month and i in list_of_active_offline_gen_pub_BUs_in_month:            \n",
    "            df_migrated.loc[name.date().strftime('%m/%Y')].at[i] = (1.0*only_offline_gen_pub_for_scaling_df.loc[only_offline_gen_pub_for_scaling_df['BU_Eriks'] == i, 'count'].iloc[0]) / (1.0*months_bu_df.loc[months_bu_df['BU_Eriks'] == i, 'count'].iloc[0]) \n",
    "\n",
    "df_migrated.plot()\n",
    "plt.xticks(rotation = 45)\n",
    "plt.title(\"Percentage Offline, Gen Pub Orders by BU for Migrated\")\n",
    "plt.legend(bbox_to_anchor=(1, 1), loc='upper left', ncol=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "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>Tools &amp; Maintenance</th>\n",
       "      <th>Sealing &amp; Polymer</th>\n",
       "      <th>PT - Open Drives &amp; Bearings</th>\n",
       "      <th>Flange Gaskets</th>\n",
       "      <th>PT - Pneumatics en GMD</th>\n",
       "      <th>FC - Valves, Actuators &amp; Plastic Piping</th>\n",
       "      <th>PT - Hydraulics en PMC</th>\n",
       "      <th>Industrial Plastics</th>\n",
       "      <th>FC - Instrumentation, Steam &amp; Pumps</th>\n",
       "      <th>Hoses</th>\n",
       "      <th>Other</th>\n",
       "      <th>Tools &amp; Maintenance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>03/2019</th>\n",
       "      <td>0.369369</td>\n",
       "      <td>0.232558</td>\n",
       "      <td>0.317073</td>\n",
       "      <td>0.313953</td>\n",
       "      <td>0.538462</td>\n",
       "      <td>0.245614</td>\n",
       "      <td>0.834951</td>\n",
       "      <td>0.264151</td>\n",
       "      <td>0.314286</td>\n",
       "      <td>0.352941</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>04/2019</th>\n",
       "      <td>0.113636</td>\n",
       "      <td>0.390533</td>\n",
       "      <td>0.296000</td>\n",
       "      <td>0.570175</td>\n",
       "      <td>0.196078</td>\n",
       "      <td>0.131148</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.103448</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.236842</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>05/2019</th>\n",
       "      <td>0.074510</td>\n",
       "      <td>0.210000</td>\n",
       "      <td>0.269663</td>\n",
       "      <td>0.284483</td>\n",
       "      <td>0.282609</td>\n",
       "      <td>0.365854</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.170732</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>06/2019</th>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.294643</td>\n",
       "      <td>0.244186</td>\n",
       "      <td>0.269231</td>\n",
       "      <td>0.283019</td>\n",
       "      <td>0.275862</td>\n",
       "      <td>0.260870</td>\n",
       "      <td>0.102564</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.538462</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>07/2019</th>\n",
       "      <td>0.227545</td>\n",
       "      <td>0.242424</td>\n",
       "      <td>0.285714</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.613333</td>\n",
       "      <td>0.240741</td>\n",
       "      <td>0.659091</td>\n",
       "      <td>0.270833</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.451613</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>08/2019</th>\n",
       "      <td>0.033784</td>\n",
       "      <td>0.188571</td>\n",
       "      <td>0.194444</td>\n",
       "      <td>0.404494</td>\n",
       "      <td>0.296296</td>\n",
       "      <td>0.084746</td>\n",
       "      <td>0.380952</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.156250</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>09/2019</th>\n",
       "      <td>0.172589</td>\n",
       "      <td>0.392405</td>\n",
       "      <td>0.138614</td>\n",
       "      <td>0.298507</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.195652</td>\n",
       "      <td>0.788732</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>0.324324</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10/2019</th>\n",
       "      <td>0.046243</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.230769</td>\n",
       "      <td>0.487179</td>\n",
       "      <td>0.565217</td>\n",
       "      <td>0.225806</td>\n",
       "      <td>0.185185</td>\n",
       "      <td>0.294118</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Tools & Maintenance  Sealing & Polymer  PT - Open Drives & Bearings  \\\n",
       "03/2019             0.369369           0.232558                     0.317073   \n",
       "04/2019             0.113636           0.390533                     0.296000   \n",
       "05/2019             0.074510           0.210000                     0.269663   \n",
       "06/2019             0.250000           0.294643                     0.244186   \n",
       "07/2019             0.227545           0.242424                     0.285714   \n",
       "08/2019             0.033784           0.188571                     0.194444   \n",
       "09/2019             0.172589           0.392405                     0.138614   \n",
       "10/2019             0.046243           0.350000                     0.133333   \n",
       "\n",
       "         Flange Gaskets  PT - Pneumatics en GMD  \\\n",
       "03/2019        0.313953                0.538462   \n",
       "04/2019        0.570175                0.196078   \n",
       "05/2019        0.284483                0.282609   \n",
       "06/2019        0.269231                0.283019   \n",
       "07/2019        0.000000                0.613333   \n",
       "08/2019        0.404494                0.296296   \n",
       "09/2019        0.298507                0.166667   \n",
       "10/2019        0.047619                0.230769   \n",
       "\n",
       "         FC - Valves, Actuators & Plastic Piping  PT - Hydraulics en PMC  \\\n",
       "03/2019                                 0.245614                0.834951   \n",
       "04/2019                                 0.131148                0.500000   \n",
       "05/2019                                 0.365854                0.500000   \n",
       "06/2019                                 0.275862                0.260870   \n",
       "07/2019                                 0.240741                0.659091   \n",
       "08/2019                                 0.084746                0.380952   \n",
       "09/2019                                 0.195652                0.788732   \n",
       "10/2019                                 0.487179                0.565217   \n",
       "\n",
       "         Industrial Plastics  FC - Instrumentation, Steam & Pumps     Hoses  \\\n",
       "03/2019             0.264151                             0.314286  0.352941   \n",
       "04/2019             0.103448                             0.040000  0.236842   \n",
       "05/2019             0.170732                             0.240000  0.520000   \n",
       "06/2019             0.102564                             0.111111  0.538462   \n",
       "07/2019             0.270833                             0.333333  0.451613   \n",
       "08/2019             0.200000                             0.156250  0.133333   \n",
       "09/2019             0.153846                             0.324324  0.142857   \n",
       "10/2019             0.225806                             0.185185  0.294118   \n",
       "\n",
       "         Other  Tools & Maintenance   \n",
       "03/2019    0.0                   0.0  \n",
       "04/2019    0.0                   0.0  \n",
       "05/2019    0.0                   0.0  \n",
       "06/2019    0.0                   0.0  \n",
       "07/2019    0.0                   0.0  \n",
       "08/2019    0.0                   0.0  \n",
       "09/2019    0.0                   0.0  \n",
       "10/2019    0.0                   0.0  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_migrated.head(n = 50)\n",
    "# Managed to reproduce these values in SQL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 2 - Discount Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Import and cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1801584    3\n",
       "1786019    2\n",
       "1019354    2\n",
       "1687220    2\n",
       "1011733    2\n",
       "          ..\n",
       "1803399    1\n",
       "1013999    1\n",
       "1820586    1\n",
       "1677696    1\n",
       "1730645    1\n",
       "Name: CustomerId, Length: 1756, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read in IDs and discount information \n",
    "df_discounts = pd.read_csv(r\"Discount_Data.csv\")\n",
    "df_discounts.CustomerId = df_discounts.CustomerId.astype(str) \n",
    "df_discounts['CustomerId'].value_counts() # Some people have multiple entries, 1801584 has different email entries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Drop Duplicates "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1756"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "discount_customer_ids = df_discounts['CustomerId'].unique()\n",
    "df_discounts['CustomerId'].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sanity check of all customers in discounts list\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Select OriginalOrderNumber, OrderNumber, CustomerId, CustomerName, TurnoverClass, IndustryCode2Description, ArticleProdGroupNL, PurchaseOrderTypeDescription, SalesDocumentHeaderCreationDate, SalesValue, Quantity, MaterialGroup2Description FROM [weekly].[OrdersNLBE] Where SalesDocumentHeaderCreationDate >= '2019-03-01' and SalesDocumentHeaderCreationDate <= '2019-10-25' and CustomerId in ('1732501', '1005507', '1781141', '1660106', '1799581', '1820772', '1820734', '1685986', '1784992', '1005936', '1807048', '1718416', '1662876', '1695115', '1709946', '1814858', '1820634', '1006232', '1007645', '1620793', '1692799', '1006333', '1006397', '1811873', '1006824', '1006977', '1820179', '1732332', '1803129', '1718474', '1007514', '1820418', '1023350', '1799307', '1820624', '1799461', '1820751', '1693995', '1032653', '1692888', '1661782', '1710712', '1680736', '1011551', '1820692', '1057968', '1730006', '1661489', '1017365', '1732275', '1007528', '1687220', '1681521', '1661548', '1820623', '1050619', '1775804', '1725960', '1666616', '1784372', '1021788', '1820641', '1018233', '1007788', '1731619', '1027319', '1732474', '1040486', '1022570', '1006235', '1820820', '1806322', '1007979', '1014469', '1688156', '1057583', '1725934', '1714027', '1784635', '1775114', '1670932', '1694486', '1020280', '1768920', '1804596', '1819138', '1797858', '1013923', '1008045', '1738528', '1666406', '1008345', '1679632', '1013074', '1008499', '1701923', '1796419', '1779739', '1017455', '1008629', '1815299', '1028541', '1008662', '1775086', '1812771', '1008953', '1009485', '1663628', '1009723', '1780073', '1820730', '1010389', '1685139', '1820798', '1010621', '1818664', '1009889', '1010639', '1716188', '1010761', '1689042', '1010885', '1061111', '1010910', '1030723', '1808127', '1780698', '1011082', '1807794', '1011179', '1678030', '1011408', '1011410', '1820627', '1819913', '1707421', '1012046', '1012050', '1012255', '1742986', '1012131', '1783686', '1669625', '1012344', '1798264', '1012514', '1036469', '1820653', '1006777', '1012519', '1677148', '1671752', '1059359', '1668654', '1796091', '1818031', '1012820', '1013211', '1013694', '1729735', '1820777', '1014108', '1014243', '1014271', '1058987', '1014387', '1688558', '1015033', '1015175', '1800817', '1015531', '1730065', '1738306', '1016078', '1774179', '1020597', '1016686', '1684825', '1017272', '1027208', '1017431', '1736167', '1017490', '1796093', '1017599', '1018169', '1802540', '1800585', '1775975', '1737341', '1741164', '1018343', '1019407', '1019852', '1019952', '1019975', '1020251', '1020784', '1017764', '1021804', '1806954', '1664923', '1730644', '1770644', '1022088', '1798673', '1022804', '1023176', '1023454', '1799423', '1063697', '1773327', '1006783', '1026699', '1812075', '1026778', '1027198', '1729748', '1027300', '1027381', '1816609', '1027696', '1028570', '1776610', '1028693', '1029005', '1722181', '1029427', '1768443', '1728235', '1716711', '1717275', '1673809', '1030644', '1769019', '1033541', '1030653', '1796914', '1038791', '1778567', '1031198', '1721546', '1031531', '1031945', '1681805', '1031996', '1032242', '1778466', '1663372', '1012342', '1779585', '1033292', '1820066', '1033361', '1033416', '1018203', '1015870', '1033486', '1033496', '1033745', '1034077', '1035507', '1063778', '1035543', '1049759', '1799726', '1035593', '1035618', '1730960', '1021755', '1738207', '1035629', '1035715', '1044333', '1688843', '1031181', '1015045', '1811306', '1036178', '2003670', '1820786', '1036394', '1818636', '1804751', '1036573', '1798570', '1036903', '1037426', '1820142', '1777617', '1037547', '1040004', '1040079', '1022353', '1006182', '1040228', '1062329', '1040390', '1040519', '1800468', '1667371', '1663955', '1040824', '1041053', '1779315', '1782535', '1041113', '1008884', '1808008', '1041125', '1726480', '1767722', '1041294', '1779935', '1010882', '1020870', '1041635', '1006927', '1806583', '1814950', '1042353', '1014891', '1668214', '1812652', '1051934', '1667948', '1043103', '1724927', '1729287', '1722048', '1021578', '1043591', '1043709', '1044302', '1668621', '1044327', '1044589', '1776604', '1044950', '1800038', '1784285', '1045137', '1006359', '1014441', '1020122', '1769553', '1045198', '1045522', '1045978', '1046411', '1046443', '1049199', '1049845', '1049960', '1733507', '1736593', '1801099', '1804399', '1050117', '1050256', '1819052', '1018323', '1738405', '1775320', '1050923', '1043596', '1051421', '1052889', '1817776', '1052914', '1052927', '1053410', '1670973', '1053554', '1053555', '1017902', '1742864', '1780186', '1053754', '1814205', '1056166', '1820405', '1008612', '1038927', '1056725', '1700171', '1057422', '1740238', '1057870', '1059881', '1813182', '1015868', '1666227', '1800862', '1736420', '1681431', '1045612', '1782484', '1062737', '1717217', '1060652', '1063217', '1063489', '1063637', '1667527', '1063928', '1064465', '1017574', '1739045', '1681922', '1064546', '1796300', '2007734', '1816203', '1783591', '1065424', '1677568', '1742820', '1065499', '1065858', '1026348', '1066351', '1023003', '1767011', '1507504', '1053667', '1717166', '1660557', '1564524', '1799754', '1578762', '1721259', '1612499', '1660061', '1660495', '1052877', '1058527', '1660791', '1672037', '1661685', '1742941', '1661962', '1662046', '1779086', '1662053', '1724258', '1662168', '1662294', '1662767', '1662967', '1012068', '1663076', '1775375', '1013363', '1812693', '1663696', '1664441', '1664554', '1023384', '1714802', '1685209', '1664813', '1664907', '1665112', '1665132', '1022979', '1661857', '1665195', '1666429', '1058990', '1671531', '1666647', '1666742', '1666764', '1667242', '1667469', '1667638', '1816658', '1668443', '1671173', '1672380', '1774640', '1706003', '1673991', '1051596', '1675247', '1799616', '1675707', '1676311', '1005984', '1814274', '1676599', '1676721', '1819636', '1011685', '1737485', '1676791', '1811740', '1818180', '1676809', '1730645', '1807831', '1677347', '1770572', '1677696', '1678053', '1785330', '1678089', '1678127', '1015851', '1678192', '1020712', '1782961', '1678344', '1678750', '1679181', '1774226', '1679710', '1679959', '1753820', '1680823', '1019973', '1688405', '1666196', '1723320', '1681038', '1667460', '1783651', '1681199', '2007448', '2007754', '1063401', '1681239', '1681946', '1012020', '1682468', '1683930', '1684263', '1686864', '1684656', '1723985', '1666413', '1684778', '1776997', '1685187', '1686479', '1009086', '1817811', '1011578', '1686861', '1687241', '1727019', '1687693', '1814941', '1019347', '1687709', '1019437', '1688805', '1774651', '1039822', '1690580', '1666706', '1690678', '1690737', '1803054', '1690900', '1691105', '1796545', '1664171', '1014367', '1734414', '1054234', '1691299', '1685504', '1691949', '1692138', '1692953', '1767088', '1057587', '1694013', '1015931', '1695126', '1695443', '1697154', '1697496', '1687572', '1777492', '1738588', '1019948', '1023140', '1698076', '1725741', '1773899', '1045543', '1018278', '1710192', '2004453', '1807421', '1698837', '1716409', '1037636', '1698896', '1014516', '1012538', '1699485', '1005642', '1700743', '1701727', '1731994', '1022127', '1701808', '1664801', '1020757', '1702514', '1694007', '1704493', '1705573', '1705589', '2003284', '1685778', '1725769', '1705833', '1705941', '1019377', '1005421', '1784359', '1811509', '1706463', '1011403', '1707664', '1714848', '1707718', '1708108', '1766996', '1708170', '1064681', '1042182', '1053389', '1708418', '1709652', '1732791', '1710971', '1711027', '1719803', '1665431', '1712124', '1054630', '1803375', '1813929', '1009333', '1712879', '1713774', '1713775', '1713815', '1009658', '1713850', '1714542', '1714864', '1734230', '1741863', '1813917', '1686746', '1776582', '1739551', '1715361', '1716817', '1717696', '1717845', '1065576', '1795335', '1737477', '1719280', '1719305', '1678500', '1730097', '1055629', '1720088', '1818387', '1015602', '1014142', '1720518', '1720988', '1802801', '1805203', '1721005', '1690928', '1721535', '1721682', '1813082', '1722377', '1722544', '1064740', '1722760', '1804407', '1815386', '1693723', '1023273', '1017199', '1690933', '1664373', '1801688', '1802153', '1722941', '1695726', '1779825', '1723484', '1724203', '1690155', '1724310', '1805707', '1695309', '1801629', '1692823', '1724513', '1724674', '1741778', '1772072', '1724828', '1685225', '1812198', '1022092', '1711638', '1724867', '1036912', '1725073', '1741857', '1687724', '1015156', '1806061', '1775477', '1725390', '1725394', '1737075', '1725663', '1802402', '1725703', '1031367', '1774322', '1008251', '1017306', '2002336', '1012469', '1725771', '1725809', '1813876', '1813317', '1726003', '1726018', '1693906', '1726032', '1726532', '1015741', '1728149', '1774454', '1728270', '1728944', '1734408', '1785245', '1779961', '1008790', '1733719', '1666952', '1018091', '1008527', '1729210', '1729387', '1729555', '1700064', '1729654', '1013936', '1784629', '1729897', '1729975', '1773999', '1727222', '1727051', '1062112', '1767015', '1749634', '1670176', '1730028', '1663232', '1730310', '1784762', '1730949', '1021173', '1819958', '1731034', '1053821', '1780863', '1813837', '1731248', '1731411', '1814452', '1009142', '1731484', '1685274', '1780900', '1813875', '1731845', '1062461', '1732064', '1783604', '1732177', '1737440', '1060077', '1732224', '1005337', '1679368', '1732497', '1016681', '1015465', '1732730', '1672130', '1712771', '1057917', '1733153', '1714333', '1712199', '1813641', '1733440', '1733704', '1734715', '1675828', '1735058', '1735161', '1735204', '1735257', '1735259', '1735627', '1775926', '1804664', '1778262', '1009694', '1818598', '1816471', '1006350', '1735806', '1735971', '1736051', '1049671', '1736585', '1736610', '1737092', '1059122', '1011733', '1055443', '1802620', '1737253', '1737451', '1724059', '1815167', '2005340', '1016070', '1737704', '1737859', '1738242', '1007874', '1739482', '1778517', '1739625', '1007363', '1805594', '1739746', '1761004', '1020941', '1786008', '1015536', '1739794', '1721972', '1051024', '1739967', '1727105', '1742715', '1743030', '1775785', '1803662', '1705328', '1775764', '1743269', '1005813', '1746139', '1754449', '2002148', '1756600', '1756969', '1059691', '1777830', '1819569', '1668241', '1676070', '1802341', '1761910', '1814206', '1762498', '1763833', '1690591', '1010922', '1016979', '1767412', '1769674', '1677956', '1769823', '1020877', '1007077', '1769900', '1020594', '1770326', '1770523', '1665863', '1772059', '1772128', '1772450', '1027504', '1708249', '1803185', '1676118', '1772678', '1664793', '1773992', '1774291', '1774348', '1774745', '1774813', '1775769', '1725811', '1684086', '1775872', '1775939', '1776055', '1046063', '1687798', '1812405', '1782428', '1819061', '1776385', '1776662', '1685990', '1723512', '1776986', '1677011', '1734527', '1019445', '1777462', '1814087', '1016637', '1715534', '1731089', '1059620', '1685807', '1705360', '1777527', '1777724', '1820043', '1814947', '1777813', '1778070', '1801526', '1778628', '1780771', '1710100', '1676989', '1665310', '1734578', '1778638', '1779291', '1780003', '1698372', '1780133', '1820158', '1063063', '1780233', '1020384', '1780287', '1780614', '1776248', '1781047', '1781379', '1781472', '1781637', '1731945', '1781690', '1781717', '1804895', '1690708', '1781811', '1781950', '1006301', '1782028', '1008747', '1804691', '1676336', '1782058', '1019496', '1015143', '1782402', '1782469', '1005985', '1784240', '1006861', '1784387', '1784744', '1784840', '1784854', '1812581', '1785346', '1786817', '1723210', '1795895', '1015511', '1665083', '1813907', '1795972', '1007784', '1729367', '1016997', '1765522', '1710967', '1781017', '1694042', '1713658', '1041577', '1678161', '1009427', '1796143', '1812496', '1797259', '1668060', '1797348', '1798318', '1798341', '1798424', '1741604', '1816292', '1777138', '1798748', '1798768', '2003550', '1819628', '1799695', '1709717', '1693437', '1814644', '1817942', '1800000', '1819074', '1023080', '1675189', '1800514', '1800656', '1800864', '1801014', '1801265', '1054325', '1801360', '1801432', '1702381', '1692627', '1603376', '1801442', '1801692', '1677616', '1802413', '1014507', '1802418', '1802528', '1802758', '1803045', '1803306', '1687820', '1056538', '1008352', '1705511', '1060635', '1803399', '1607282', '1803405', '1804149', '1804776', '1806035', '1777525', '1738682', '1806998', '1722000', '1807253', '1807892', '1807352', '1807457', '1813678', '1811335', '1722687', '1009731', '1781207', '1715167', '1807541', '1742858', '1712777', '1013041', '1807669', '1022697', '1808076', '1694372', '1769922', '1811520', '1811684', '1801584', '1685904', '1811954', '1812190', '1767234', '1812282', '1812494', '1813114', '1018070', '1813505', '1013999', '1813717', '1813964', '1814212', '1814482', '1814508', '1814527', '1739641', '1814532', '1815072', '1815548', '1816526', '1015409', '1741297', '1816545', '1818629', '1818895', '1819073', '1692424', '1012889', '1734727', '1717438', '1773179', '1014359', '1819629', '1820144', '1820145', '1820146', '1689771', '1713816', '1682306', '1820147', '1012057', '1820548', '1814128', '1820549', '1664677', '1820550', '1820568', '1664187', '1820569', '1820570', '1820576', '1817876', '1820577', '1741714', '1808219', '1820578', '1820585', '1807373', '1820586', '1660543', '1780713', '1011617', '1820587', '1678666', '1820590', '1033124', '1714659', '1820592', '1005446', '1820594', '1820595', '1820597', '1021011', '1671367', '1820598', '1064766', '1820599', '1820601', '1820602', '1820603', '1725850', '1785358', '1022832', '1820604', '1820605', '1013171', '1678701', '1728458', '1027192', '1820610', '1049618', '1026343', '1023309', '1820614', '1795337', '1820615', '1057313', '1663938', '1820616', '1820617', '1820618', '1685269', '1820619', '1022451', '1014614', '1820620', '1820621', '1808401', '1739973', '1690534', '1679405', '1820622', '1688000', '1820625', '1743004', '1703081', '1820626', '1820628', '1820629', '1725148', '1681279', '1820630', '1735799', '1660935', '1688336', '1820631', '1820632', '1059716', '1820633', '1038064', '1010629', '1782960', '1820637', '1712511', '1799556', '1803562', '1820639', '1748463', '1694552', '1065604', '1820640', '1649325', '1818968', '1820645', '1820647', '1818721', '1664551', '1013293', '1779521', '1014731', '1779966', '1820648', '1064340', '1738481', '1820650', '1820652', '1820654', '1820655', '1820656', '1820657', '1820658', '1820659', '1806115', '1022950', '1785028', '1014918', '1820660', '1817800', '1049542', '1820661', '1820662', '1820663', '1063119', '1044314', '1010888', '1063811', '1808403', '1010892', '1010772', '1820665', '1820666', '1814248', '1677915', '1735814', '1016293', '1820667', '1771278', '1039871', '1011434', '1728158', '1686619', '1820668', '1692195', '1820669', '1690916', '1820670', '1820671', '1820672', '1774158', '1820674', '1801047', '1064393', '1820675', '1782117', '1820676', '1007317', '1736072', '1774475', '1043530', '1813390', '1820677', '1665126', '1814943', '1820678', '1691625', '1820679', '1549436', '1035307', '1714909', '1005412', '1678481', '1820680', '1820681', '1800967', '1721227', '1778924', '1820683', '1799129', '1781888', '1820684', '1820685', '1775067', '1727851', '1005277', '1015899', '1726537', '1737914', '1043117', '1800163', '1820686', '1820687', '1663310', '1820688', '1012616', '1820689', '1009652', '1725198', '1797719', '1820690', '1820691', '1816606', '1767089', '1820693', '1011891', '1050087', '1806087', '1786420', '1776015', '1820694', '1801132', '1820695', '1701396', '1011542', '1820696', '1815537', '1820697', '1806831', '1805371', '1699602', '1011481', '1797000', '1820698', '1718451', '1066360', '1684564', '1820699', '1732788', '1729892', '1686874', '1660152', '1009511', '1735914', '1820700', '1600231', '1815037', '1820701', '1820702', '1022632', '1697603', '1820703', '1020558', '1782346', '1051897', '1820704', '1820705', '1820706', '1820707', '1739972', '1820708', '1820709', '1820710', '1033149', '1820711', '1820712', '1667755', '1772705', '1816344', '1019354', '1820713', '1052226', '1820714', '1022959', '1820715', '1820716', '1672186', '1690066', '1031408', '1820717', '1064306', '1820718', '1820719', '1820720', '1740226', '1820721', '1820722', '1814698', '1010429', '1622028', '1781539', '1795744', '1803237', '1020514', '2003165', '1820723', '1050707', '1820724', '1007096', '1820725', '1054733', '1009477', '1012426', '1820726', '1800879', '1720846', '1678205', '1719710', '1820727', '1820728', '1820729', '1730739', '1820731', '1049813', '1820732', '1820735', '1742355', '1011350', '1820736', '1820737', '1665054', '1742819', '1820738', '1674883', '1710646', '1013233', '1820739', '1735089', '1820740', '1820741', '1807160', '1820742', '1784374', '1820743', '1820744', '1820745', '1820746', '1820747', '1820748', '1018298', '1731901', '1785356', '1010215', '1685976', '1019672', '1820749', '1820750', '1594954', '1681756', '1816542', '1820752', '1034258', '1820753', '1008195', '1820754', '1820755', '1006524', '1058274', '1012865', '1820756', '1820757', '1054011', '1730468', '1716435', '1820758', '1820759', '1811319', '1710245', '1739123', '1820760', '1820761', '1688220', '2000953', '1820762', '1820763', '1736539', '1005468', '1785378', '1780163', '1820764', '1820765', '1820766', '1783578', '1820767', '1820768', '1663809', '1813498', '1820769', '1786019', '1820770', '1820771', '1820773', '1063764', '1820774', '1776040', '2008695', '1814420', '1785325', '1820775', '1736919', '1820776', '1820778', '1681561', '1726202', '1684359', '1820779', '1816773', '1820780', '1665760', '1820781', '1820782', '1015164', '1667077', '1736125', '1820783', '1820785', '1820787', '1011367', '1005937', '1732355', '1737964', '1009416', '1820788', '1820789', '1820790', '1820791', '1820792', '1820793', '1820794', '1056602', '1820795', '1820796', '1820797', '1820802', '1779893', '1010903', '1820803', '1017363', '1678726', '1796470', '1820804', '1820807', '2001191', '1820809', '1688720', '1780976', '1821118', '1820811', '1820812', '1786769', '1677095', '1820813', '1795769', '1690796', '1798430', '1022965', '1820814', '1706389', '1734845', '1816551', '2000687', '1820815', '1010383', '1820816', '1820817', '1820818', '1820819', '1804293', '1049738', '1820821', '1820822', '1820823', '1813193', '1820824', '1785974', '1820825', '1821198', '1686052', '1050322', '1820827', '1820828', '1820829', '1820830', '1820831', '1820832', '1717714', '1695150', '1820833', '1036814', '1661051', '1820842', '1022924', '1820845', '1028686', '1820846', '1820854', '1820857', '1800563', '1820858', '1820859', '1820860', '1820861', '1029503', '1015551', '1806147', '1045832', '1553786', '1700265', '1767598', '1013397', '1699968', '1808558', '1807690', '1821064', '1820844', '1821065', '1030760', '1821121', '1821123', '1613169', '1813844', '1006800', '1692502', '1821125', '1786395', '1821127', '1821130', '1821132', '1673312', '1052528', '1821134', '1821135', '1821150', '1735350', '1821169', '1012350', '1015309', '1821170', '1726917', '1780846', '1712334', '1726416', '1821171', '1718066', '1675858', '1679643', '1821172', '1730016', '1821173', '1821174', '1729031', '1821175', '1821176', '1821181', '1797699', '1821182', '1821183', '1820254', '1821184', '1670035', '1008203', '1739315', '1821185', '1807841', '1688830', '1821191', '1821192', '1661441', '1785928', '1821193', '1063981', '1783000', '1821194', '1821206', '1818610', '1012425', '1821208', '1785428', '1016244', '1017172', '1821209', '1673474', '1821212', '1009257', '1681578', '1008898', '1821213', '1821214', '1821215', '1016831', '1816223', '1785188', '2001407', '1798801', '1671450', '2001910', '2003959', '2005685', '2004464', '1781750', '1798219', '2005980', '1778505', '1017630', '1814620', '2008518', '2008634', '1014842', '1798349', '1022445', '2015453')\n"
     ]
    }
   ],
   "source": [
    "sql_list = \"(\"\n",
    "for x in range(len(discount_customer_ids)):\n",
    "    sql_list += \"'\" + str(discount_customer_ids[x]) + \"'\" + \", \" \n",
    "sql_list = sql_list[:-2]\n",
    "sql_list += \")\"\n",
    "\n",
    "script_after = \"Select OriginalOrderNumber, OrderNumber, CustomerId, CustomerName, TurnoverClass, IndustryCode2Description, ArticleProdGroupNL, PurchaseOrderTypeDescription, SalesDocumentHeaderCreationDate, SalesValue, Quantity, MaterialGroup2Description FROM [weekly].[OrdersNLBE] Where SalesDocumentHeaderCreationDate >= '2019-03-01' and SalesDocumentHeaderCreationDate <= '2019-10-25' and CustomerId in %s\" %sql_list\n",
    "print (script_after)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_all_discount_orders = pd.read_csv(r\"orders_data_all_customers_in_discount_dataset.csv\")\n",
    "df_all_discount_orders.TurnoverClass = df_all_discount_orders.TurnoverClass.astype(str)\n",
    "df_all_discount_orders.CustomerId = df_all_discount_orders.CustomerId.astype(str)\n",
    "df_all_discount_orders['SalesDocumentHeaderCreationDate'] = pd.to_datetime(df_all_discount_orders['SalesDocumentHeaderCreationDate'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Select OriginalOrderNumber, OrderNumber, CustomerId, CustomerName, TurnoverClass, IndustryCode2Description, ArticleProdGroupNL, PurchaseOrderTypeDescription, SalesDocumentHeaderCreationDate, SalesValue, Quantity, MaterialGroup2Description FROM [weekly].[OrdersNLBE] Where SalesDocumentHeaderCreationDate >= '2019-03-01' and SalesDocumentHeaderCreationDate <= '2019-10-25' and CustomerId in ('1732501', '1005507', '1781141', '1660106', '1799581', '1820772', '1820734', '1685986', '1784992', '1005936', '1807048', '1718416', '1662876', '1695115', '1709946', '1814858', '1820634', '1006232', '1007645', '1620793', '1692799', '1006333', '1006397', '1811873', '1006824', '1006977', '1820179', '1732332', '1803129', '1718474', '1007514', '1820418', '1023350', '1799307', '1820624', '1799461', '1820751', '1693995', '1032653', '1692888', '1661782', '1710712', '1680736', '1011551', '1820692', '1057968', '1730006', '1661489', '1017365', '1732275', '1007528', '1687220', '1681521', '1661548', '1820623', '1050619', '1775804', '1725960', '1666616', '1784372', '1021788', '1820641', '1018233', '1007788', '1731619', '1027319', '1732474', '1040486', '1022570', '1006235', '1820820', '1806322', '1007979', '1014469', '1688156', '1057583', '1725934', '1714027', '1784635', '1775114', '1670932', '1694486', '1020280', '1768920', '1804596', '1819138', '1797858', '1013923', '1008045', '1738528', '1666406', '1008345', '1679632', '1013074', '1008499', '1701923', '1796419', '1779739', '1017455', '1008629', '1815299', '1028541', '1008662', '1775086', '1812771', '1008953', '1009485', '1663628', '1009723', '1780073', '1820730', '1010389', '1685139', '1820798', '1010621', '1818664', '1009889', '1010639', '1716188', '1010761', '1689042', '1010885', '1061111', '1010910', '1030723', '1808127', '1780698', '1011082', '1807794', '1011179', '1678030', '1011408', '1011410', '1820627', '1819913', '1707421', '1012046', '1012050', '1012255', '1742986', '1012131', '1783686', '1669625', '1012344', '1798264', '1012514', '1036469', '1820653', '1006777', '1012519', '1677148', '1671752', '1059359', '1668654', '1796091', '1818031', '1012820', '1013211', '1013694', '1729735', '1820777', '1014108', '1014243', '1014271', '1058987', '1014387', '1688558', '1015033', '1015175', '1800817', '1015531', '1730065', '1738306', '1016078', '1774179', '1020597', '1016686', '1684825', '1017272', '1027208', '1017431', '1736167', '1017490', '1796093', '1017599', '1018169', '1802540', '1800585', '1775975', '1737341', '1741164', '1018343', '1019407', '1019852', '1019952', '1019975', '1020251', '1020784', '1017764', '1021804', '1806954', '1664923', '1730644', '1770644', '1022088', '1798673', '1022804', '1023176', '1023454', '1799423', '1063697', '1773327', '1006783', '1026699', '1812075', '1026778', '1027198', '1729748', '1027300', '1027381', '1816609', '1027696', '1028570', '1776610', '1028693', '1029005', '1722181', '1029427', '1768443', '1728235', '1716711', '1717275', '1673809', '1030644', '1769019', '1033541', '1030653', '1796914', '1038791', '1778567', '1031198', '1721546', '1031531', '1031945', '1681805', '1031996', '1032242', '1778466', '1663372', '1012342', '1779585', '1033292', '1820066', '1033361', '1033416', '1018203', '1015870', '1033486', '1033496', '1033745', '1034077', '1035507', '1063778', '1035543', '1049759', '1799726', '1035593', '1035618', '1730960', '1021755', '1738207', '1035629', '1035715', '1044333', '1688843', '1031181', '1015045', '1811306', '1036178', '2003670', '1820786', '1036394', '1818636', '1804751', '1036573', '1798570', '1036903', '1037426', '1820142', '1777617', '1037547', '1040004', '1040079', '1022353', '1006182', '1040228', '1062329', '1040390', '1040519', '1800468', '1667371', '1663955', '1040824', '1041053', '1779315', '1782535', '1041113', '1008884', '1808008', '1041125', '1726480', '1767722', '1041294', '1779935', '1010882', '1020870', '1041635', '1006927', '1806583', '1814950', '1042353', '1014891', '1668214', '1812652', '1051934', '1667948', '1043103', '1724927', '1729287', '1722048', '1021578', '1043591', '1043709', '1044302', '1668621', '1044327', '1044589', '1776604', '1044950', '1800038', '1784285', '1045137', '1006359', '1014441', '1020122', '1769553', '1045198', '1045522', '1045978', '1046411', '1046443', '1049199', '1049845', '1049960', '1733507', '1736593', '1801099', '1804399', '1050117', '1050256', '1819052', '1018323', '1738405', '1775320', '1050923', '1043596', '1051421', '1052889', '1817776', '1052914', '1052927', '1053410', '1670973', '1053554', '1053555', '1017902', '1742864', '1780186', '1053754', '1814205', '1056166', '1820405', '1008612', '1038927', '1056725', '1700171', '1057422', '1740238', '1057870', '1059881', '1813182', '1015868', '1666227', '1800862', '1736420', '1681431', '1045612', '1782484', '1062737', '1717217', '1060652', '1063217', '1063489', '1063637', '1667527', '1063928', '1064465', '1017574', '1739045', '1681922', '1064546', '1796300', '2007734', '1816203', '1783591', '1065424', '1677568', '1742820', '1065499', '1065858', '1026348', '1066351', '1023003', '1767011', '1507504', '1053667', '1717166', '1660557', '1564524', '1799754', '1578762', '1721259', '1612499', '1660061', '1660495', '1052877', '1058527', '1660791', '1672037', '1661685', '1742941', '1661962', '1662046', '1779086', '1662053', '1724258', '1662168', '1662294', '1662767', '1662967', '1012068', '1663076', '1775375', '1013363', '1812693', '1663696', '1664441', '1664554', '1023384', '1714802', '1685209', '1664813', '1664907', '1665112', '1665132', '1022979', '1661857', '1665195', '1666429', '1058990', '1671531', '1666647', '1666742', '1666764', '1667242', '1667469', '1667638', '1816658', '1668443', '1671173', '1672380', '1774640', '1706003', '1673991', '1051596', '1675247', '1799616', '1675707', '1676311', '1005984', '1814274', '1676599', '1676721', '1819636', '1011685', '1737485', '1676791', '1811740', '1818180', '1676809', '1730645', '1807831', '1677347', '1770572', '1677696', '1678053', '1785330', '1678089', '1678127', '1015851', '1678192', '1020712', '1782961', '1678344', '1678750', '1679181', '1774226', '1679710', '1679959', '1753820', '1680823', '1019973', '1688405', '1666196', '1723320', '1681038', '1667460', '1783651', '1681199', '2007448', '2007754', '1063401', '1681239', '1681946', '1012020', '1682468', '1683930', '1684263', '1686864', '1684656', '1723985', '1666413', '1684778', '1776997', '1685187', '1686479', '1009086', '1817811', '1011578', '1686861', '1687241', '1727019', '1687693', '1814941', '1019347', '1687709', '1019437', '1688805', '1774651', '1039822', '1690580', '1666706', '1690678', '1690737', '1803054', '1690900', '1691105', '1796545', '1664171', '1014367', '1734414', '1054234', '1691299', '1685504', '1691949', '1692138', '1692953', '1767088', '1057587', '1694013', '1015931', '1695126', '1695443', '1697154', '1697496', '1687572', '1777492', '1738588', '1019948', '1023140', '1698076', '1725741', '1773899', '1045543', '1018278', '1710192', '2004453', '1807421', '1698837', '1716409', '1037636', '1698896', '1014516', '1012538', '1699485', '1005642', '1700743', '1701727', '1731994', '1022127', '1701808', '1664801', '1020757', '1702514', '1694007', '1704493', '1705573', '1705589', '2003284', '1685778', '1725769', '1705833', '1705941', '1019377', '1005421', '1784359', '1811509', '1706463', '1011403', '1707664', '1714848', '1707718', '1708108', '1766996', '1708170', '1064681', '1042182', '1053389', '1708418', '1709652', '1732791', '1710971', '1711027', '1719803', '1665431', '1712124', '1054630', '1803375', '1813929', '1009333', '1712879', '1713774', '1713775', '1713815', '1009658', '1713850', '1714542', '1714864', '1734230', '1741863', '1813917', '1686746', '1776582', '1739551', '1715361', '1716817', '1717696', '1717845', '1065576', '1795335', '1737477', '1719280', '1719305', '1678500', '1730097', '1055629', '1720088', '1818387', '1015602', '1014142', '1720518', '1720988', '1802801', '1805203', '1721005', '1690928', '1721535', '1721682', '1813082', '1722377', '1722544', '1064740', '1722760', '1804407', '1815386', '1693723', '1023273', '1017199', '1690933', '1664373', '1801688', '1802153', '1722941', '1695726', '1779825', '1723484', '1724203', '1690155', '1724310', '1805707', '1695309', '1801629', '1692823', '1724513', '1724674', '1741778', '1772072', '1724828', '1685225', '1812198', '1022092', '1711638', '1724867', '1036912', '1725073', '1741857', '1687724', '1015156', '1806061', '1775477', '1725390', '1725394', '1737075', '1725663', '1802402', '1725703', '1031367', '1774322', '1008251', '1017306', '2002336', '1012469', '1725771', '1725809', '1813876', '1813317', '1726003', '1726018', '1693906', '1726032', '1726532', '1015741', '1728149', '1774454', '1728270', '1728944', '1734408', '1785245', '1779961', '1008790', '1733719', '1666952', '1018091', '1008527', '1729210', '1729387', '1729555', '1700064', '1729654', '1013936', '1784629', '1729897', '1729975', '1773999', '1727222', '1727051', '1062112', '1767015', '1749634', '1670176', '1730028', '1663232', '1730310', '1784762', '1730949', '1021173', '1819958', '1731034', '1053821', '1780863', '1813837', '1731248', '1731411', '1814452', '1009142', '1731484', '1685274', '1780900', '1813875', '1731845', '1062461', '1732064', '1783604', '1732177', '1737440', '1060077', '1732224', '1005337', '1679368', '1732497', '1016681', '1015465', '1732730', '1672130', '1712771', '1057917', '1733153', '1714333', '1712199', '1813641', '1733440', '1733704', '1734715', '1675828', '1735058', '1735161', '1735204', '1735257', '1735259', '1735627', '1775926', '1804664', '1778262', '1009694', '1818598', '1816471', '1006350', '1735806', '1735971', '1736051', '1049671', '1736585', '1736610', '1737092', '1059122', '1011733', '1055443', '1802620', '1737253', '1737451', '1724059', '1815167', '2005340', '1016070', '1737704', '1737859', '1738242', '1007874', '1739482', '1778517', '1739625', '1007363', '1805594', '1739746', '1761004', '1020941', '1786008', '1015536', '1739794', '1721972', '1051024', '1739967', '1727105', '1742715', '1743030', '1775785', '1803662', '1705328', '1775764', '1743269', '1005813', '1746139', '1754449', '2002148', '1756600', '1756969', '1059691', '1777830', '1819569', '1668241', '1676070', '1802341', '1761910', '1814206', '1762498', '1763833', '1690591', '1010922', '1016979', '1767412', '1769674', '1677956', '1769823', '1020877', '1007077', '1769900', '1020594', '1770326', '1770523', '1665863', '1772059', '1772128', '1772450', '1027504', '1708249', '1803185', '1676118', '1772678', '1664793', '1773992', '1774291', '1774348', '1774745', '1774813', '1775769', '1725811', '1684086', '1775872', '1775939', '1776055', '1046063', '1687798', '1812405', '1782428', '1819061', '1776385', '1776662', '1685990', '1723512', '1776986', '1677011', '1734527', '1019445', '1777462', '1814087', '1016637', '1715534', '1731089', '1059620', '1685807', '1705360', '1777527', '1777724', '1820043', '1814947', '1777813', '1778070', '1801526', '1778628', '1780771', '1710100', '1676989', '1665310', '1734578', '1778638', '1779291', '1780003', '1698372', '1780133', '1820158', '1063063', '1780233', '1020384', '1780287', '1780614', '1776248', '1781047', '1781379', '1781472', '1781637', '1731945', '1781690', '1781717', '1804895', '1690708', '1781811', '1781950', '1006301', '1782028', '1008747', '1804691', '1676336', '1782058', '1019496', '1015143', '1782402', '1782469', '1005985', '1784240', '1006861', '1784387', '1784744', '1784840', '1784854', '1812581', '1785346', '1786817', '1723210', '1795895', '1015511', '1665083', '1813907', '1795972', '1007784', '1729367', '1016997', '1765522', '1710967', '1781017', '1694042', '1713658', '1041577', '1678161', '1009427', '1796143', '1812496', '1797259', '1668060', '1797348', '1798318', '1798341', '1798424', '1741604', '1816292', '1777138', '1798748', '1798768', '2003550', '1819628', '1799695', '1709717', '1693437', '1814644', '1817942', '1800000', '1819074', '1023080', '1675189', '1800514', '1800656', '1800864', '1801014', '1801265', '1054325', '1801360', '1801432', '1702381', '1692627', '1603376', '1801442', '1801692', '1677616', '1802413', '1014507', '1802418', '1802528', '1802758', '1803045', '1803306', '1687820', '1056538', '1008352', '1705511', '1060635', '1803399', '1607282', '1803405', '1804149', '1804776', '1806035', '1777525', '1738682', '1806998', '1722000', '1807253', '1807892', '1807352', '1807457', '1813678', '1811335', '1722687', '1009731', '1781207', '1715167', '1807541', '1742858', '1712777', '1013041', '1807669', '1022697', '1808076', '1694372', '1769922', '1811520', '1811684', '1801584', '1685904', '1811954', '1812190', '1767234', '1812282', '1812494', '1813114', '1018070', '1813505', '1013999', '1813717', '1813964', '1814212', '1814482', '1814508', '1814527', '1739641', '1814532', '1815072', '1815548', '1816526', '1015409', '1741297', '1816545', '1818629', '1818895', '1819073', '1692424', '1012889', '1734727', '1717438', '1773179', '1014359', '1819629', '1820144', '1820145', '1820146', '1689771', '1713816', '1682306', '1820147', '1012057', '1820548', '1814128', '1820549', '1664677', '1820550', '1820568', '1664187', '1820569', '1820570', '1820576', '1817876', '1820577', '1741714', '1808219', '1820578', '1820585', '1807373', '1820586', '1660543', '1780713', '1011617', '1820587', '1678666', '1820590', '1033124', '1714659', '1820592', '1005446', '1820594', '1820595', '1820597', '1021011', '1671367', '1820598', '1064766', '1820599', '1820601', '1820602', '1820603', '1725850', '1785358', '1022832', '1820604', '1820605', '1013171', '1678701', '1728458', '1027192', '1820610', '1049618', '1026343', '1023309', '1820614', '1795337', '1820615', '1057313', '1663938', '1820616', '1820617', '1820618', '1685269', '1820619', '1022451', '1014614', '1820620', '1820621', '1808401', '1739973', '1690534', '1679405', '1820622', '1688000', '1820625', '1743004', '1703081', '1820626', '1820628', '1820629', '1725148', '1681279', '1820630', '1735799', '1660935', '1688336', '1820631', '1820632', '1059716', '1820633', '1038064', '1010629', '1782960', '1820637', '1712511', '1799556', '1803562', '1820639', '1748463', '1694552', '1065604', '1820640', '1649325', '1818968', '1820645', '1820647', '1818721', '1664551', '1013293', '1779521', '1014731', '1779966', '1820648', '1064340', '1738481', '1820650', '1820652', '1820654', '1820655', '1820656', '1820657', '1820658', '1820659', '1806115', '1022950', '1785028', '1014918', '1820660', '1817800', '1049542', '1820661', '1820662', '1820663', '1063119', '1044314', '1010888', '1063811', '1808403', '1010892', '1010772', '1820665', '1820666', '1814248', '1677915', '1735814', '1016293', '1820667', '1771278', '1039871', '1011434', '1728158', '1686619', '1820668', '1692195', '1820669', '1690916', '1820670', '1820671', '1820672', '1774158', '1820674', '1801047', '1064393', '1820675', '1782117', '1820676', '1007317', '1736072', '1774475', '1043530', '1813390', '1820677', '1665126', '1814943', '1820678', '1691625', '1820679', '1549436', '1035307', '1714909', '1005412', '1678481', '1820680', '1820681', '1800967', '1721227', '1778924', '1820683', '1799129', '1781888', '1820684', '1820685', '1775067', '1727851', '1005277', '1015899', '1726537', '1737914', '1043117', '1800163', '1820686', '1820687', '1663310', '1820688', '1012616', '1820689', '1009652', '1725198', '1797719', '1820690', '1820691', '1816606', '1767089', '1820693', '1011891', '1050087', '1806087', '1786420', '1776015', '1820694', '1801132', '1820695', '1701396', '1011542', '1820696', '1815537', '1820697', '1806831', '1805371', '1699602', '1011481', '1797000', '1820698', '1718451', '1066360', '1684564', '1820699', '1732788', '1729892', '1686874', '1660152', '1009511', '1735914', '1820700', '1600231', '1815037', '1820701', '1820702', '1022632', '1697603', '1820703', '1020558', '1782346', '1051897', '1820704', '1820705', '1820706', '1820707', '1739972', '1820708', '1820709', '1820710', '1033149', '1820711', '1820712', '1667755', '1772705', '1816344', '1019354', '1820713', '1052226', '1820714', '1022959', '1820715', '1820716', '1672186', '1690066', '1031408', '1820717', '1064306', '1820718', '1820719', '1820720', '1740226', '1820721', '1820722', '1814698', '1010429', '1622028', '1781539', '1795744', '1803237', '1020514', '2003165', '1820723', '1050707', '1820724', '1007096', '1820725', '1054733', '1009477', '1012426', '1820726', '1800879', '1720846', '1678205', '1719710', '1820727', '1820728', '1820729', '1730739', '1820731', '1049813', '1820732', '1820735', '1742355', '1011350', '1820736', '1820737', '1665054', '1742819', '1820738', '1674883', '1710646', '1013233', '1820739', '1735089', '1820740', '1820741', '1807160', '1820742', '1784374', '1820743', '1820744', '1820745', '1820746', '1820747', '1820748', '1018298', '1731901', '1785356', '1010215', '1685976', '1019672', '1820749', '1820750', '1594954', '1681756', '1816542', '1820752', '1034258', '1820753', '1008195', '1820754', '1820755', '1006524', '1058274', '1012865', '1820756', '1820757', '1054011', '1730468', '1716435', '1820758', '1820759', '1811319', '1710245', '1739123', '1820760', '1820761', '1688220', '2000953', '1820762', '1820763', '1736539', '1005468', '1785378', '1780163', '1820764', '1820765', '1820766', '1783578', '1820767', '1820768', '1663809', '1813498', '1820769', '1786019', '1820770', '1820771', '1820773', '1063764', '1820774', '1776040', '2008695', '1814420', '1785325', '1820775', '1736919', '1820776', '1820778', '1681561', '1726202', '1684359', '1820779', '1816773', '1820780', '1665760', '1820781', '1820782', '1015164', '1667077', '1736125', '1820783', '1820785', '1820787', '1011367', '1005937', '1732355', '1737964', '1009416', '1820788', '1820789', '1820790', '1820791', '1820792', '1820793', '1820794', '1056602', '1820795', '1820796', '1820797', '1820802', '1779893', '1010903', '1820803', '1017363', '1678726', '1796470', '1820804', '1820807', '2001191', '1820809', '1688720', '1780976', '1821118', '1820811', '1820812', '1786769', '1677095', '1820813', '1795769', '1690796', '1798430', '1022965', '1820814', '1706389', '1734845', '1816551', '2000687', '1820815', '1010383', '1820816', '1820817', '1820818', '1820819', '1804293', '1049738', '1820821', '1820822', '1820823', '1813193', '1820824', '1785974', '1820825', '1821198', '1686052', '1050322', '1820827', '1820828', '1820829', '1820830', '1820831', '1820832', '1717714', '1695150', '1820833', '1036814', '1661051', '1820842', '1022924', '1820845', '1028686', '1820846', '1820854', '1820857', '1800563', '1820858', '1820859', '1820860', '1820861', '1029503', '1015551', '1806147', '1045832', '1553786', '1700265', '1767598', '1013397', '1699968', '1808558', '1807690', '1821064', '1820844', '1821065', '1030760', '1821121', '1821123', '1613169', '1813844', '1006800', '1692502', '1821125', '1786395', '1821127', '1821130', '1821132', '1673312', '1052528', '1821134', '1821135', '1821150', '1735350', '1821169', '1012350', '1015309', '1821170', '1726917', '1780846', '1712334', '1726416', '1821171', '1718066', '1675858', '1679643', '1821172', '1730016', '1821173', '1821174', '1729031', '1821175', '1821176', '1821181', '1797699', '1821182', '1821183', '1820254', '1821184', '1670035', '1008203', '1739315', '1821185', '1807841', '1688830', '1821191', '1821192', '1661441', '1785928', '1821193', '1063981', '1783000', '1821194', '1821206', '1818610', '1012425', '1821208', '1785428', '1016244', '1017172', '1821209', '1673474', '1821212', '1009257', '1681578', '1008898', '1821213', '1821214', '1821215', '1016831', '1816223', '1785188', '2001407', '1798801', '1671450', '2001910', '2003959', '2005685', '2004464', '1781750', '1798219', '2005980', '1778505', '1017630', '1814620', '2008518', '2008634', '1014842', '1798349', '1022445', '2015453')\n"
     ]
    }
   ],
   "source": [
    "#Run this in SQL to update order data\n",
    "sql_list = \"(\"\n",
    "for x in range(len(discount_customer_ids)):\n",
    "    sql_list += \"'\" + str(discount_customer_ids[x]) + \"'\" + \", \" \n",
    "sql_list = sql_list[:-2]\n",
    "sql_list += \")\"\n",
    "\n",
    "script_after = \"Select OriginalOrderNumber, OrderNumber, CustomerId, CustomerName, TurnoverClass, IndustryCode2Description, ArticleProdGroupNL, PurchaseOrderTypeDescription, SalesDocumentHeaderCreationDate, SalesValue, Quantity, MaterialGroup2Description FROM [weekly].[OrdersNLBE] Where SalesDocumentHeaderCreationDate >= '2019-03-01' and SalesDocumentHeaderCreationDate <= '2019-10-25' and CustomerId in %s\" %sql_list\n",
    "print (script_after)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot all orders for all customers in discount dataset (discount and no discount)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5313, 5024, 4763, 4188, 4648, 4094, 4480, 3908]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Orders over time from all customers in discount dataset')"
      ]
     },
     "execution_count": 33,
     "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": [
    "df_all_discount_orders_grouped = df_all_discount_orders.groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins = []\n",
    "list_of_group_sizes = []\n",
    "for name, group in df_all_discount_orders_grouped:\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes.append(len(group.index))\n",
    "\n",
    "plt.bar(list_of_date_bins, list_of_group_sizes)\n",
    "plt.xticks(rotation = 45)\n",
    "print (list_of_group_sizes)\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.ylabel(\"Number of Orders\")\n",
    "plt.title(\"Orders over time from all customers in discount dataset\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Number of Discount vs No Discount customers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "881\n",
      "888\n"
     ]
    }
   ],
   "source": [
    "Discount_customerIDs_list = df_discounts[(df_discounts['Email'] == 'Ja, 1e maand 10%') | (df_discounts['Email'] == 'Ja, 10% op 1e order') | ((df_discounts['Email'] == 'Inform') & (df_discounts['Existing'] == 'Zamro')) ]['CustomerId'].unique()\n",
    "print (len(Discount_customerIDs_list))\n",
    "No_discount_customerIDs_list = df_discounts[(df_discounts['Email'] == 'Geen') | ((df_discounts['Email'] == 'Inform') & (df_discounts['Existing'] == 'ERIKS')) ]['CustomerId'].unique()\n",
    "print (len(No_discount_customerIDs_list))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generate SQL queries for discount vs no discount customers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Select OriginalOrderNumber, OrderNumber, CustomerId, CustomerName, TurnoverClass, IndustryCode2Description, ArticleProdGroupNL, PurchaseOrderTypeDescription, SalesDocumentHeaderCreationDate, SalesValue, Quantity, MaterialGroup2Description FROM [weekly].[OrdersNLBE] Where SalesDocumentHeaderCreationDate >= '2019-03-01' and SalesDocumentHeaderCreationDate <= '2019-10-25' and CustomerId in ('1005507', '1799581', '1820772', '1820734', '1685986', '1784992', '1005936', '1807048', '1718416', '1662876', '1814858', '1006232', '1006333', '1006397', '1006977', '1820179', '1803129', '1799307', '1820751', '1692888', '1661782', '1710712', '1680736', '1820692', '1730006', '1017365', '1007528', '1681521', '1666616', '1784372', '1007788', '1007979', '1725934', '1714027', '1784635', '1775114', '1694486', '1804596', '1008045', '1738528', '1008345', '1013074', '1008499', '1796419', '1008629', '1008662', '1775086', '1009485', '1009723', '1820730', '1010389', '1820798', '1010621', '1010639', '1689042', '1010885', '1808127', '1011082', '1807794', '1011179', '1011410', '1819913', '1012046', '1012050', '1012131', '1669625', '1012344', '1012514', '1820653', '1671752', '1796091', '1818031', '1012820', '1013211', '1013694', '1820777', '1014108', '1014243', '1014271', '1014387', '1015033', '1015175', '1016078', '1016686', '1017272', '1017431', '1017490', '1017599', '1018169', '1800585', '1018343', '1019407', '1019952', '1020251', '1020784', '1021804', '1806954', '1022804', '1023176', '1023454', '1799423', '1773327', '1026699', '1812075', '1026778', '1027198', '1027300', '1027381', '1816609', '1027696', '1028570', '1776610', '1028693', '1029005', '1768443', '1717275', '1030644', '1769019', '1030653', '1031198', '1031531', '1031945', '1031996', '1032242', '1778466', '1033292', '1033361', '1033416', '1033496', '1033745', '1034077', '1035507', '1035543', '1035593', '1035618', '1738207', '1035629', '1035715', '1036178', '1820786', '1036394', '1804751', '1036903', '1037426', '1820142', '1037547', '1040004', '1040079', '1062329', '1667371', '1040824', '1041053', '1782535', '1041113', '1041125', '1726480', '1041294', '1779935', '1020870', '1041635', '1042353', '1043103', '1043591', '1043709', '1044302', '1044327', '1044589', '1045137', '1006359', '1014441', '1045198', '1045522', '1045978', '1046443', '1049199', '1049845', '1049960', '1733507', '1050117', '1050256', '1819052', '1775320', '1050923', '1051421', '1052889', '1052914', '1052927', '1053410', '1053554', '1053555', '1053754', '1056166', '1820405', '1056725', '1057422', '1057870', '1059881', '1666227', '1800862', '1782484', '1062737', '1063217', '1063489', '1063637', '1063928', '1064465', '1064546', '1065424', '1065499', '1065858', '1507504', '1564524', '1612499', '1660061', '1660495', '1052877', '1672037', '1661685', '1742941', '1661962', '1662046', '1662053', '1662168', '1662294', '1662767', '1662967', '1012068', '1663076', '1663696', '1664441', '1664554', '1685209', '1664813', '1664907', '1665112', '1665132', '1665195', '1666429', '1666647', '1666742', '1666764', '1667242', '1667469', '1667638', '1668443', '1671173', '1672380', '1675247', '1676311', '1676721', '1819636', '1676791', '1811740', '1676809', '1730645', '1770572', '1677696', '1678053', '1678089', '1678127', '1015851', '1678344', '1679710', '1679959', '1681038', '1681199', '1681239', '1681946', '1682468', '1683930', '1684263', '1684656', '1684778', '1685187', '1686479', '1817811', '1686861', '1687241', '1727019', '1687693', '1814941', '1688805', '1690580', '1690678', '1691105', '1796545', '1734414', '1691949', '1692138', '1694013', '1015931', '1695443', '1697154', '1777492', '1698076', '1807421', '1698837', '1716409', '1698896', '1699485', '1700743', '1701727', '1701808', '1702514', '1704493', '1705573', '1705589', '1685778', '1705833', '1705941', '1706463', '1707664', '1707718', '1708108', '1708170', '1708418', '1709652', '1710971', '1711027', '1712124', '1054630', '1712879', '1713774', '1713775', '1713815', '1714542', '1714864', '1741863', '1686746', '1739551', '1715361', '1716817', '1717696', '1717845', '1795335', '1719280', '1719305', '1055629', '1720088', '1720518', '1720988', '1721005', '1721535', '1813082', '1722544', '1722760', '1804407', '1802153', '1722941', '1723484', '1724203', '1724310', '1805707', '1724513', '1724674', '1724828', '1812198', '1724867', '1725073', '1775477', '1725390', '1725394', '1737075', '1725703', '1774322', '2002336', '1725771', '1725809', '1813876', '1726003', '1726018', '1726532', '1728149', '1774454', '1728944', '1733719', '1729210', '1729387', '1729555', '1729654', '1013936', '1784629', '1729897', '1729975', '1727051', '1663232', '1730310', '1730949', '1021173', '1731034', '1780863', '1731248', '1731411', '1731484', '1813875', '1731845', '1732064', '1732177', '1737440', '1732224', '1016681', '1732730', '1057917', '1733153', '1733440', '1733704', '1734715', '1735058', '1735161', '1735204', '1735257', '1735259', '1804664', '1778262', '1735806', '1736585', '1737092', '1055443', '1737253', '1737451', '1724059', '1737704', '1738242', '1739625', '1739746', '1739794', '1051024', '1739967', '1742715', '1743030', '1743269', '1746139', '2002148', '1756600', '1756969', '1059691', '1761910', '1762498', '1767412', '1769674', '1769823', '1769900', '1770326', '1770523', '1772059', '1772128', '1772450', '1772678', '1773992', '1774291', '1774348', '1774745', '1774813', '1775769', '1725811', '1775872', '1775939', '1776055', '1687798', '1776385', '1776662', '1685990', '1723512', '1776986', '1777462', '1814087', '1685807', '1777527', '1777724', '1777813', '1778070', '1778628', '1665310', '1778638', '1779291', '1780003', '1780133', '1820158', '1780233', '1780287', '1780614', '1781047', '1781379', '1781472', '1781637', '1731945', '1781690', '1781717', '1804895', '1690708', '1781811', '1781950', '1782028', '1782058', '1015143', '1782402', '1782469', '1784240', '1784387', '1784744', '1784840', '1784854', '1785346', '1786817', '1795895', '1665083', '1795972', '1765522', '1710967', '1781017', '1796143', '1797259', '1797348', '1798318', '1798424', '1816292', '1798748', '1798768', '1819628', '1799695', '1817942', '1800000', '1819074', '1800514', '1800656', '1801014', '1801265', '1801360', '1801432', '1603376', '1801442', '1801692', '1802413', '1802418', '1802528', '1802758', '1803045', '1803306', '1687820', '1803399', '1803405', '1804149', '1804776', '1807253', '1807892', '1807352', '1807457', '1813678', '1722687', '1807541', '1742858', '1013041', '1807669', '1811684', '1801584', '1811954', '1812190', '1813114', '1813505', '1813717', '1813964', '1814212', '1814482', '1814527', '1814532', '1815072', '1815548', '1816526', '1741297', '1816545', '1818629', '1818895', '1819073', '1692424', '1819629', '1820144', '1820146', '1820147', '1820548', '1814128', '1820549', '1820550', '1820568', '1664187', '1820569', '1820570', '1820576', '1820577', '1820578', '1820585', '1807373', '1820586', '1780713', '1820587', '1678666', '1820592', '1820594', '1820597', '1820598', '1820601', '1820602', '1820603', '1820605', '1728458', '1820610', '1820614', '1820615', '1820616', '1820617', '1820618', '1820619', '1820620', '1820621', '1739973', '1690534', '1820622', '1688000', '1820625', '1743004', '1820626', '1820628', '1820629', '1820630', '1820631', '1820632', '1820633', '1820637', '1799556', '1820639', '1748463', '1820640', '1820645', '1014731', '1779966', '1820648', '1820650', '1820652', '1820654', '1820655', '1820656', '1820657', '1820658', '1820659', '1820660', '1817800', '1049542', '1820661', '1820662', '1820663', '1808403', '1820665', '1820666', '1820667', '1771278', '1820668', '1820669', '1820670', '1820672', '1820674', '1820675', '1820676', '1820677', '1820678', '1820679', '1820680', '1820681', '1820683', '1799129', '1820684', '1820685', '1775067', '1015899', '1737914', '1820686', '1820687', '1820688', '1820689', '1820690', '1820691', '1820693', '1820694', '1820695', '1820696', '1820697', '1820698', '1718451', '1820699', '1820701', '1820702', '1820703', '1820704', '1820705', '1820706', '1820707', '1820708', '1820709', '1820710', '1820711', '1820712', '1820713', '1820714', '1022959', '1820715', '1820716', '1820717', '1064306', '1820718', '1820719', '1820720', '1820721', '1820722', '1622028', '1781539', '1803237', '2003165', '1820723', '1007096', '1820725', '1820726', '1820727', '1820728', '1820729', '1730739', '1820731', '1820732', '1820735', '1820736', '1820737', '1820738', '1820739', '1735089', '1820740', '1820741', '1820742', '1784374', '1820745', '1820746', '1820747', '1820748', '1820750', '1594954', '1820752', '1820753', '1820754', '1820755', '1820756', '1820757', '1716435', '1820758', '1820759', '1811319', '1820760', '1820761', '1688220', '1820762', '1820763', '1820764', '1820765', '1820766', '1820767', '1820768', '1820769', '1786019', '1820770', '1820771', '1820774', '1814420', '1785325', '1820775', '1820776', '1820779', '1820780', '1820781', '1820782', '1820783', '1820787', '1820788', '1820789', '1820790', '1820791', '1820792', '1820794', '1056602', '1820795', '1820796', '1820802', '1820803', '1796470', '1820804', '1820807', '1820809', '1780976', '1821118', '1820811', '1820812', '1677095', '1820813', '1795769', '1798430', '1820814', '1706389', '1734845', '1816551', '1820815', '1820816', '1820817', '1820818', '1820819', '1804293', '1820821', '1820822', '1820823', '1820824', '1820825', '1686052', '1820828', '1820829', '1820830', '1820831', '1820832', '1695150', '1820833', '1820842', '1820845', '1820846', '1820854', '1820858', '1820859', '1820860', '1820861', '1700265', '1807690', '1821064', '1820844', '1821065', '1821121', '1613169', '1813844', '1821125', '1821127', '1821130', '1821132', '1673312', '1821135', '1821150', '1821170', '1780846', '1821171', '1679643', '1821172', '1821174', '1821175', '1821176', '1821181', '1821182', '1820254', '1821184', '1670035', '1688830', '1821191', '1821192', '1821193', '1821206', '1821208', '1785428', '1017172', '1821209', '1821212', '1821213', '1821214', '1821215', '1785188', '2001407', '1798801', '2001910', '2003959', '2004464', '2005980', '2008518', '2008634', '2015453')\n"
     ]
    }
   ],
   "source": [
    "sql_list = \"(\"\n",
    "for x in range(len(Discount_customerIDs_list)):\n",
    "    sql_list += \"'\" + str(Discount_customerIDs_list[x]) + \"'\" + \", \" \n",
    "sql_list = sql_list[:-2]\n",
    "sql_list += \")\"\n",
    "\n",
    "script_discount = \"Select OriginalOrderNumber, OrderNumber, CustomerId, CustomerName, TurnoverClass, IndustryCode2Description, ArticleProdGroupNL, PurchaseOrderTypeDescription, SalesDocumentHeaderCreationDate, SalesValue, Quantity, MaterialGroup2Description FROM [weekly].[OrdersNLBE] Where SalesDocumentHeaderCreationDate >= '2019-03-01' and SalesDocumentHeaderCreationDate <= '2019-10-25' and CustomerId in %s\" % sql_list\n",
    "print (script_discount)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Select OriginalOrderNumber, OrderNumber, CustomerId, CustomerName, TurnoverClass, IndustryCode2Description, ArticleProdGroupNL, PurchaseOrderTypeDescription, SalesDocumentHeaderCreationDate, SalesValue, Quantity, MaterialGroup2Description FROM [weekly].[OrdersNLBE] Where SalesDocumentHeaderCreationDate >= '2019-03-01' and SalesDocumentHeaderCreationDate <= '2019-10-25' and CustomerId in ('1732501', '1781141', '1660106', '1695115', '1709946', '1820634', '1007645', '1620793', '1692799', '1811873', '1006824', '1732332', '1718474', '1007514', '1820418', '1023350', '1820624', '1799461', '1693995', '1032653', '1011551', '1057968', '1661489', '1732275', '1687220', '1661548', '1820623', '1050619', '1775804', '1725960', '1021788', '1820641', '1018233', '1731619', '1027319', '1732474', '1040486', '1022570', '1006235', '1820820', '1806322', '1014469', '1688156', '1057583', '1670932', '1020280', '1768920', '1819138', '1797858', '1013923', '1666406', '1679632', '1701923', '1779739', '1017455', '1815299', '1028541', '1812771', '1008953', '1663628', '1780073', '1685139', '1818664', '1009889', '1716188', '1010761', '1061111', '1010910', '1030723', '1808127', '1780698', '1678030', '1011408', '1820627', '1707421', '1012255', '1742986', '1783686', '1798264', '1036469', '1006777', '1012519', '1677148', '1059359', '1668654', '1729735', '1058987', '1688558', '1800817', '1015531', '1730065', '1738306', '1774179', '1020597', '1684825', '1027208', '1736167', '1796093', '1802540', '1775975', '1737341', '1741164', '1019852', '1019975', '1017764', '1664923', '1730644', '1770644', '1022088', '1798673', '1063697', '1006783', '1729748', '1722181', '1029427', '1728235', '1716711', '1673809', '1033541', '1796914', '1038791', '1778567', '1721546', '1681805', '1663372', '1012342', '1779585', '1820066', '1018203', '1015870', '1033486', '1063778', '1049759', '1799726', '1730960', '1021755', '1044333', '1688843', '1031181', '1015045', '1811306', '2003670', '1818636', '1036573', '1798570', '1777617', '1022353', '1006182', '1040228', '1040390', '1040519', '1800468', '1663955', '1779315', '1008884', '1808008', '1767722', '1010882', '1006927', '1806583', '1814950', '1014891', '1668214', '1812652', '1051934', '1667948', '1724927', '1729287', '1722048', '1021578', '1668621', '1776604', '1044950', '1800038', '1784285', '1020122', '1769553', '1046411', '1736593', '1801099', '1804399', '1018323', '1738405', '1043596', '1817776', '1670973', '1017902', '1742864', '1780186', '1814205', '1008612', '1038927', '1700171', '1740238', '1813182', '1015868', '1736420', '1681431', '1045612', '1717217', '1060652', '1667527', '1017574', '1739045', '1681922', '1796300', '2007734', '1816203', '1783591', '1677568', '1742820', '1026348', '1066351', '1023003', '1767011', '1053667', '1717166', '1660557', '1799754', '1578762', '1721259', '1058527', '1660791', '1742941', '1779086', '1724258', '1775375', '1013363', '1812693', '1023384', '1714802', '1022979', '1661857', '1058990', '1671531', '1816658', '1774640', '1706003', '1673991', '1051596', '1799616', '1675707', '1005984', '1814274', '1676599', '1011685', '1737485', '1818180', '1807831', '1677347', '1785330', '1678192', '1020712', '1782961', '1678750', '1679181', '1774226', '1753820', '1680823', '1019973', '1688405', '1666196', '1723320', '1667460', '1783651', '2007448', '2007754', '1063401', '1012020', '1686864', '1723985', '1666413', '1776997', '1009086', '1011578', '1019347', '1687709', '1019437', '1774651', '1039822', '1666706', '1690737', '1803054', '1690900', '1664171', '1014367', '1054234', '1691299', '1685504', '1692953', '1767088', '1057587', '1695126', '1697496', '1687572', '1738588', '1019948', '1023140', '1725741', '1773899', '1045543', '1018278', '1710192', '2004453', '1037636', '1014516', '1012538', '1005642', '1731994', '1022127', '1664801', '1020757', '1694007', '2003284', '1725769', '1019377', '1005421', '1784359', '1811509', '1011403', '1714848', '1766996', '1064681', '1042182', '1053389', '1732791', '1719803', '1665431', '1803375', '1813929', '1009333', '1009658', '1713850', '1734230', '1813917', '1776582', '1065576', '1737477', '1678500', '1730097', '1818387', '1015602', '1014142', '1802801', '1805203', '1690928', '1721682', '1722377', '1064740', '1815386', '1693723', '1023273', '1017199', '1690933', '1664373', '1801688', '1695726', '1779825', '1690155', '1695309', '1801629', '1692823', '1741778', '1772072', '1685225', '1022092', '1711638', '1036912', '1741857', '1687724', '1015156', '1806061', '1725663', '1802402', '1031367', '1008251', '1017306', '1012469', '1813317', '1693906', '1726032', '1015741', '1728270', '1734408', '1785245', '1779961', '1008790', '1666952', '1018091', '1008527', '1700064', '1784629', '1773999', '1727222', '1062112', '1767015', '1749634', '1670176', '1730028', '1784762', '1819958', '1053821', '1780863', '1813837', '1814452', '1009142', '1685274', '1780900', '1062461', '1783604', '1060077', '1005337', '1679368', '1732497', '1015465', '1672130', '1712771', '1714333', '1712199', '1813641', '1675828', '1735627', '1775926', '1009694', '1818598', '1816471', '1006350', '1735971', '1736051', '1049671', '1736610', '1059122', '1011733', '1802620', '1815167', '2005340', '1016070', '1737859', '1007874', '1739482', '1778517', '1007363', '1805594', '1761004', '1020941', '1786008', '1015536', '1721972', '1727105', '1775785', '1803662', '1705328', '1775764', '1005813', '1754449', '1777830', '1819569', '1668241', '1676070', '1802341', '1814206', '1763833', '1690591', '1010922', '1016979', '1677956', '1020877', '1007077', '1020594', '1665863', '1027504', '1708249', '1803185', '1676118', '1664793', '1684086', '1046063', '1812405', '1782428', '1819061', '1677011', '1734527', '1019445', '1016637', '1715534', '1731089', '1059620', '1705360', '1820043', '1814947', '1801526', '1780771', '1710100', '1676989', '1734578', '1698372', '1063063', '1020384', '1776248', '1006301', '1008747', '1804691', '1676336', '1019496', '1005985', '1006861', '1812581', '1723210', '1015511', '1813907', '1007784', '1729367', '1016997', '1694042', '1713658', '1041577', '1678161', '1009427', '1812496', '1668060', '1798341', '1741604', '1777138', '2003550', '1709717', '1693437', '1814644', '1023080', '1675189', '1800864', '1054325', '1702381', '1692627', '1677616', '1014507', '1056538', '1008352', '1705511', '1060635', '1607282', '1694486', '1806035', '1777525', '1738682', '1806998', '1722000', '1811335', '1009731', '1781207', '1715167', '1712777', '1022697', '1808076', '1694372', '1769922', '1811520', '1801584', '1685904', '1767234', '1812282', '1812494', '1018070', '1013999', '1814508', '1739641', '1015409', '1012889', '1734727', '1717438', '1773179', '1014359', '1820145', '1689771', '1713816', '1682306', '1012057', '1664677', '1817876', '1741714', '1808219', '1660543', '1011617', '1820590', '1033124', '1714659', '1005446', '1820595', '1021011', '1671367', '1064766', '1820599', '1725850', '1785358', '1022832', '1820604', '1013171', '1678701', '1027192', '1049618', '1026343', '1023309', '1795337', '1057313', '1663938', '1685269', '1022451', '1014614', '1808401', '1679405', '1703081', '1725148', '1681279', '1735799', '1660935', '1688336', '1059716', '1038064', '1010629', '1782960', '1712511', '1803562', '1694552', '1065604', '1649325', '1818968', '1820647', '1818721', '1664551', '1013293', '1779521', '1064340', '1738481', '1799695', '1806115', '1022950', '1785028', '1014918', '1063119', '1044314', '1010888', '1063811', '1010892', '1010772', '1814248', '1677915', '1735814', '1016293', '1039871', '1011434', '1728158', '1686619', '1692195', '1690916', '1820671', '1774158', '1801047', '1064393', '1782117', '1007317', '1736072', '1774475', '1043530', '1813390', '1665126', '1814943', '1691625', '1549436', '1035307', '1714909', '1005412', '1678481', '1800967', '1721227', '1778924', '1781888', '1775067', '1727851', '1005277', '1726537', '1043117', '1800163', '1663310', '1012616', '1009652', '1725198', '1797719', '1816606', '1767089', '1011891', '1050087', '1806087', '1786420', '1776015', '1801132', '1701396', '1011542', '1815537', '1806831', '1805371', '1699602', '1011481', '1797000', '1066360', '1684564', '1732788', '1729892', '1686874', '1660152', '1009511', '1735914', '1820700', '1600231', '1815037', '1022632', '1697603', '1020558', '1782346', '1051897', '1739972', '1033149', '1667755', '1772705', '1816344', '1019354', '1052226', '1672186', '1690066', '1031408', '1740226', '1814698', '1010429', '1795744', '1020514', '1050707', '1820724', '1054733', '1009477', '1012426', '1800879', '1720846', '1678205', '1719710', '1049813', '1742355', '1011350', '1665054', '1742819', '1674883', '1710646', '1013233', '1807160', '1784374', '1820743', '1820744', '1018298', '1731901', '1785356', '1010215', '1685976', '1019672', '1820749', '1681756', '1816542', '1034258', '1008195', '1006524', '1058274', '1012865', '1054011', '1730468', '1811319', '1710245', '1739123', '2000953', '1736539', '1005468', '1785378', '1780163', '1783578', '1663809', '1813498', '1786019', '1820773', '1063764', '1776040', '2008695', '1736919', '1820778', '1681561', '1726202', '1684359', '1816773', '1665760', '1015164', '1667077', '1736125', '1820785', '1011367', '1005937', '1732355', '1737964', '1009416', '1820793', '1820797', '1779893', '1010903', '1017363', '1678726', '2001191', '1688720', '1786769', '1690796', '1022965', '1706389', '2000687', '1010383', '1049738', '1813193', '1785974', '1821198', '1050322', '1820827', '1717714', '1036814', '1661051', '1022924', '1028686', '1820857', '1800563', '1029503', '1015551', '1806147', '1045832', '1553786', '1767598', '1013397', '1699968', '1808558', '1807690', '1030760', '1821123', '1006800', '1692502', '1786395', '1052528', '1821134', '1735350', '1821169', '1012350', '1015309', '1726917', '1712334', '1726416', '1718066', '1675858', '1730016', '1821173', '1729031', '1797699', '1821183', '1008203', '1739315', '1821185', '1807841', '1661441', '1785928', '1063981', '1783000', '1821194', '1818610', '1012425', '1016244', '1673474', '1009257', '1681578', '1008898', '1016831', '1816223', '1671450', '2005685', '1781750', '1798219', '1778505', '1017630', '1814620', '1014842', '1798349', '1022445')\n"
     ]
    }
   ],
   "source": [
    "sql_list = \"(\"\n",
    "for x in range(len(No_discount_customerIDs_list)):\n",
    "    sql_list += \"'\" + str(No_discount_customerIDs_list[x]) + \"'\" + \", \" \n",
    "sql_list = sql_list[:-2]\n",
    "sql_list += \")\"\n",
    "\n",
    "script_no_discount = \"Select OriginalOrderNumber, OrderNumber, CustomerId, CustomerName, TurnoverClass, IndustryCode2Description, ArticleProdGroupNL, PurchaseOrderTypeDescription, SalesDocumentHeaderCreationDate, SalesValue, Quantity, MaterialGroup2Description FROM [weekly].[OrdersNLBE] Where SalesDocumentHeaderCreationDate >= '2019-03-01' and SalesDocumentHeaderCreationDate <= '2019-10-25' and CustomerId in %s\" % sql_list\n",
    "print (script_no_discount)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Separate Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_discount_orders = pd.read_csv(r\"orders_data_discount_group.csv\")\n",
    "df_no_discount_orders = pd.read_csv(r\"orders_data_no_discount_group.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_discount_orders.TurnoverClass = df_discount_orders.TurnoverClass.astype(str)\n",
    "df_discount_orders.CustomerId = df_discount_orders.CustomerId.astype(str)\n",
    "df_discount_orders['SalesDocumentHeaderCreationDate'] = pd.to_datetime(df_discount_orders['SalesDocumentHeaderCreationDate'])\n",
    "\n",
    "df_no_discount_orders.TurnoverClass = df_no_discount_orders.TurnoverClass.astype(str)\n",
    "df_no_discount_orders.CustomerId = df_no_discount_orders.CustomerId.astype(str)\n",
    "df_no_discount_orders['SalesDocumentHeaderCreationDate'] = pd.to_datetime(df_no_discount_orders['SalesDocumentHeaderCreationDate'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Number of orders per month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Orderlines over time from customers given discount')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYsAAAExCAYAAACNsY6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3debgcVZnH8e+PbOxLIEAICQmLSkBEDbsLAsq+TAQMyCKioKKDyugEB0HECI6IooIY1rAFA4MQEQRkUxRlURBCQMKWxIQQNiFIIMs7f5zTpnK5t6vv0ktyf5/nuc/tOlXV9XZVd799Tp06pYjAzMysmhWaHYCZmbU+JwszMyvlZGFmZqWcLMzMrJSThZmZlXKyMDOzUk4WPUjStyRd3o3175T0mfz4k5Ju6bnoli2NfP2SdpL0hKR5kg5oxDat8ySdJ+mbLRBHSNq0lWJqBCeLTNKnJD0s6V+SnpP0M0lrNiueiLgiIj7WrO03kqTh+QPYt1LW4Nf/beCnEbFqRFzXoG3WjaRLJH2n2XH0tIj4XESc1uw4iloxpgpJz0jaraeez8kCkHQC8D3ga8AawPbARsCtkvp3sE7f9sq7uH1J6hXHoif3Ww/aCJjS3ozedGzqoUWPt3VFRPTqP2B1YB5wcJvyVYHngU/n6W8B1wCXA68CnwFGAHcBrwG3Aj8FLi88x/bAH4FXgIeAnQvz7gTGAX8A3gA2zWWfyfM/BdxdWD6AzwFPAC8D5wAqzP80MDXPuxnYKJcL+GF+Lf8E/gZs2cG+2ACYDLwETAM+Wyh/AxhYWPa9wAtAv2rbL8R+XI796Xa2Oz0vMy//7dDB6/9Cfo7XgNOATYB78vGYBPQvLL8P8GDe938EturgNT8JLM6vbx4woINjsyNwX96H9wE7tjmW38nbmQf8ClgbuCLHdh8wvMp78AOF98kM4FOF5/1MYbl/75OOjitwDLAAeKsSS15+8/x8r5AS436F570EOBe4Ka/zB2B94Ef5eD4GvLfN++T/gLnA08B/FuZ9i7d/TrYF7s/Tc4CzquyLrwOzgVl53QA2LcT5nfx4KrBPYb2+pPfj+2r87J2WX+drwC3AOlVi+lohpk9XiWkd4Ia8zZeA3wMr5HlDgWvzPnuRVJOF9IP9JODZfCwvBdbI83YGZraJ5Rlgt8K+npTXeS0f11F53mUs/b7+ere/K+v5Rbws/AF7AAuBvu3MmwBMLByYBcAB+QCvRPqiOov0BfOhfMAuz8sPyW+KvfLyH83Tgwpv2OnAFvmN3o/yZHEDsCYwLL/p9sjzDiB9uW+en+sk4I953u7AA3k95WUGd7Av7iJ9aawIbJ23sWuedzs5eeTp7wPnlW2/EPutwEBgpXa2Ozwv07dQ1t7rn0xK7lsAbwK3ARuTaoOPAkfmZd9H+uBtB/QBjiR9yAZ08LqfIX8AOzg265G+NA/P04fk6bULy08jJa9KLH8HdsvLXwpc3MG2h5HeN4fk98DawNaF5+0oWXR4XCl8geXpfjm+bwD9gV3yNt9ZWP4F4P352N9OSgJH5P33HeCOvOwKebsn5+faGHgK2L3kc3J4nr8qsH2Vz+Jzeb+vTPrC6+iL+WTgisK6ewOPdeKz9yTwjhzfncAZVWKaQ0rEqwBXVonpdOC8vL/7AR/Mx6YPKWH9MD/HisAH8jqfzsdm47xvrgUuy/N2pjxZzM+vs0/e/p86el9398/V6/Rr4IWIWNjOvNl5fsU9EXFdRCwGBgHbAN+MiDcj4nekX5QVhwE3RsSNEbE4Im4l/braq7DMJRExJSIWRsSCGmI9IyJeiYjpwB2kL3SAY4HTI2Jqfh3fBbaWtBHpg7sa8C5STWRqRMxu+8SShpJ+4f53RMyPiAeBC0hfkJA+JIfkZQWMyWVl2684PSJeiog3anidHfleRLwaEVOAR4BbIuKpiPgn6Vfxe/NynwV+HhF/johFETGBlFy278S2/n1sgI8BT0TEZflYTST92t63sPzFEfFkIZYnI+K3ef2rC7G19UngtxExMSIWRMSLed+Xqem4ZtuTvojOiIi3IuJ20g+PQwrL/DIiHoiI+cAvgfkRcWlELAJ+UYh/G9KX7rfzcz0FnE96P1T8+3OSj/cCYFNJ60TEvIj4UwdxHkzaj1Mi4l/AqVVe/5XAfpJWztOHsuT9WMtn7+KI+HuObxJLPksdxfRIRLxO+oLuyAJgMKlWvSAifh/pW3tbUm3saxHxev583Z3X+SSppvVURMwDTgTGdKL57u78OheRkut7alyv05ws0i+qdTo4OIPz/IoZhccbAC/nN1DFs4XHGwEHSXql8kf6Mh7cwfPV4rnC43+RvgAq2zq7sJ2XSL9ohuQvhp+Smq3mSBovafV2nnsD4KWIeK3N6xmSH18D7CBpA1ItKkjV7Krb78Zrbc+cwuM32pku7o8T2uz7oaTXWKu2x/rZNvOL+6YzsbU1lPQrt1M6cVwhxT8j/8ip6Gr8GwEbtNm33yDVviraHuujSb/iH5N0n6R9qsVZ5Xn+LSKmkZqi9s0JYz+WJItaPnsdfZbKYmr7Pij6PqmWcIukpySNzeVDgWc7+EHa9r31LEtqs7Vo+zpWrNd5IieLVEV+ExhdLJS0CrAnqamjojhE72xgrbxcxbDC4xmk6uSahb9VIuKMDp6vO2YAx7bZ1koR8UeAiPhxRLyfVL1/B6kNtq1ZwEBJq7V5Pf/Iz/EKqW33YNKvuIn5V1Pp9mt4rT099PEMYFybeFbONYJaFWOaRfoCKvr3vummGaTmq/a8TmqOqVi/OLPKcW27P2cBQ9ucqO9q/DNI552K+3a1iCj+al9q+xHxREQcAqxL6khyTZvPTcVsYMPC9NCSWCaSakf7A4/mBFKJseyzV6vZbeIY1tGCEfFaRJwQERuTap1flbRrjmdYB1/ibd9bw0jN4nNoc/wl9SG1aNSqRz9XvT5Z5GaDU4GfSNpDUj9Jw0lNBzNJVbv21nuWVLU9VVJ/SR9g6WaJy0m/enaX1EfSipJ2lrRhe8/XTecBJ0raAkDSGpIOyo+3kbSdpH6kN998YFE7r2cG6YTg6TnWrUi/CK8oLHYlqR374yz5FVd1+zWaSzoZt3En1qnmfOBz+XVL0iqS9m6TCDvjRuAdkg6V1FfSJ4CRpKac7roC2E3Swfm515ZUaRJ5EBgtaeXcr//oykolx3UOS+/LP+dlvp7f3zuT3qtXdSHee4FXJf23pJXye3tLSdt0tIKkwyQNyjWbV3Lx296DpOagoyRtnmsLJ5fEchWpifDzLP1+7MnP3iTgU5JG5phO6WhBSftI2jQ3075Keo2LSPtsNnBGfi+uKGmnvNpE4CuSRkhaldSE+4tcC/k7qaawdz7OJ5HOj9aq7fugW3p9sgCIiP8lVaXPJB3kP5N+DewaEW9WWfVQ0knUl0hvoksLzzmD9IvnG6QvwxmkX349vs8j4pekX2xXSXqV1J6/Z569OunL82VSFfdF0utszyGkk82zSO3Wp+T23orJwGbAnIh4qMbt1xL/v8i9j3KzQWfOLbT3fPeTzlv8lPS6p5FODnf1+V4k9a46gbT/vk7qifNC1RVre+7ppLb0E0jvowdZ0u78Q1KvpjmkzhbFxF3tuF4IjMz78rqIeIvUTLMnqVn1XOCIiHisC/EuIiWarUknwV8gndtao8pqewBTJM0DzgbG5HMjbZ/7JuDHpPNx00i1fkg1//ZimZ2X2ZF0XqVS3mOfvRzTj0gn/afl/x3ZDPgtqffRPcC5EXFnYZ9tSuo4MRP4RF7nItIP0t+R9ud84Et52/8k9QC8gFQLfD2vW6vTgZPy++C/OrFeu7SkJcHMrHVI2pz0w2NAB+391kCuWZhZy5D0H7lZdy1SbfVXThStwcnCzFrJsaSmoydJ7f2fb244VuFmKDMzK+WahZmZlXKyMDOzUsvtiJDrrLNODB8+vNlhmJktUx544IEXIuJtF//VLVlIuojUN/35iNgylw0k9YceThrk6uCIeDnPO5F00dEi0iiWN+fy95MG61qJdHHU8VHDiZbhw4dz//339+yLMjNbzklqd0iTejZDXUK6GKdoLHBbRGxGGkZjbA5uJGkgsi3yOufmS9sBfkYadnmz/Nf2Oc3MrM7qliwijcL6Upvi/UlXopL/H1AovyrS6K1Pk66U3FbSYGD1iLgn1yYuLaxjZmYN0ugT3OvlS/Qrl+qvm8uHsPTIjjNz2RCWvry9Ut4uScdIul/S/XPnzu3RwM3MerNW6Q2ldsqiSnm7ImJ8RIyKiFGDBnVmcEYzM6um0cliTm5aIv9/PpfPZOlhgDckDWY3k6WHLK6Um5lZAzU6WUwm3eKS/P/6QvkYSQMkjSCdyL43N1W9Jmn7POzvEYV1zMysQerZdXYi6R6y60iaSRrC+wxgkqSjSUP1HgQQEVMkTSLdu3ghcFwe1hfS2DCXkLrO3pT/zMysgZbbsaFGjRoVvs7CzKxzJD0QEaPali+3V3CbLSuGj/1107b9zBl7N23btmxpld5QZmbWwpwszMyslJuhrMe4OcVs+eVksYzxF7KZNYOboczMrJSThZmZlXKyMDOzUk4WZmZWysnCzMxKOVmYmVkpJwszMyvlZGFmZqWcLMzMrJSThZmZlXKyMDOzUk4WZmZWygMJmtkyyYNqNpZrFmZmVsrJwszMSjlZmJlZKScLMzMr5WRhZmalnCzMzKyUk4WZmZXydRbtcP9tM7OluWZhZmalnCzMzKyUm6HMrENukrUK1yzMzKyUk4WZmZVysjAzs1JOFmZmVqopyULSVyRNkfSIpImSVpQ0UNKtkp7I/9cqLH+ipGmSHpe0ezNiNjPrzRqeLCQNAf4TGBURWwJ9gDHAWOC2iNgMuC1PI2lknr8FsAdwrqQ+jY7bzKw3a1YzVF9gJUl9gZWBWcD+wIQ8fwJwQH68P3BVRLwZEU8D04BtGxyvmVmv1vBkERH/AM4EpgOzgX9GxC3AehExOy8zG1g3rzIEmFF4ipm5zMzMGqThF+XlcxH7AyOAV4CrJR1WbZV2yqKD5z4GOAZg2LBh3YzUlie+uMyse5rRDLUb8HREzI2IBcC1wI7AHEmDAfL/5/PyM4GhhfU3JDVbvU1EjI+IURExatCgQXV7AWZmvU0zksV0YHtJK0sSsCswFZgMHJmXORK4Pj+eDIyRNEDSCGAz4N4Gx2xm1qs1vBkqIv4s6RrgL8BC4K/AeGBVYJKko0kJ5aC8/BRJk4BH8/LHRcSiRsdtZtabNWUgwYg4BTilTfGbpFpGe8uPA8bVOy4zM2ufr+A2M7NSThZmZlbK97MwM+thy2NXbdcszMysVKeShaS1JG1Vr2DMzKw1lSYLSXdKWl3SQOAh4GJJZ9U/NDMzaxW11CzWiIhXgdHAxRHxftJV2GZm1kvUkiz65uE3DgZuqHM8ZmbWgmpJFt8GbgaejIj7JG0MPFHfsMzMrJWUdp2NiKuBqwvTTwEfr2dQZmbWWmo5wf0OSbdJeiRPbyXppPqHZmZmraKWZqjzgROBBQAR8TfSbU7NzKyXqCVZrBwRbYcEX1iPYMzMrDXVkixekLQJ+e50kg4k3Q7VzMx6iVrGhjqOdL+Jd0n6B/A0UO02qGZmtpyppTfUU8BuklYBVoiI1+oflpmZtZLSZCFpAKmr7HDSBXoARMS36xqZmZm1jFqaoa4H/gk8QLqbnZmZ9TK1JIsNI2KPukdiZmYtq5beUH+U9O66R2JmZi2rlprFB4BPSXqa1AwlICLC97UwM+slakkWe9Y9CjMza2kdJgtJq+f7WLirrJlZL1etZnElsA+pF1SQmp8qAti4jnGZmVkL6TBZRMQ++f+IxoVjZmatqFoz1PuqrRgRf+n5cMzMrBVVa4b6QZV5AezSw7GYmVmLqtYM9RFJKwA7RMQfGhiTmZm1mKoX5UXEYuDMBsViZmYtqpYruG+R9HFVRhA0M7Nep5aL8r4KrAIskvQGS67gXr2ukZmZWcuo5X4WqzUiEDMza12lzVBKDpP0zTw9VNK29Q/NzMxaRS3nLM4FdgAOzdPzgHPqFpGZmbWcWpLFdhFxHDAfICJeBvp3Z6OS1pR0jaTHJE2VtIOkgZJulfRE/r9WYfkTJU2T9Lik3buzbTMz67xaksUCSX1IF+IhaRCwuJvbPRv4TUS8C3gPMBUYC9wWEZsBt+VpJI0ExgBbAHsA5+Z4zMysQWpJFj8GfgmsK2kccDfw3a5uUNLqwIeACwEi4q2IeAXYH5iQF5sAHJAf7w9cFRFvRsTTwDTA50zMzBqolt5QV0h6ANiV1G32gIiY2o1tbgzMBS6W9B7SqLbHA+tFxOy8zdmS1s3LDwH+VFh/Zi57G0nHAMcADBs2rBshmplZUYc1i3wOYaCkgcDzwETSsOVzcllX9QXeB/wsIt4LvE5ucuoolHbKor0FI2J8RIyKiFGDBg3qRohmZlZUrWZRvI/FMODl/HhNYDrQ1aHLZwIzI+LPefoaUrKYI2lwrlUMJiWoyvJDC+tvCMzq4rbNzKwLOqxZRMSIiNgYuBnYNyLWiYi1STdEurarG4yI54AZkt6Zi3YFHgUmA0fmsiOB6/PjycAYSQMkjQA2A+7t6vbNzKzzahnuY5uI+FxlIiJuknRaN7f7JeAKSf2Bp4CjSIlrkqSjSTWXg/L2pkiaREooC4HjImJRN7dvZmadUEuyeEHSScDlpGapw4AXu7PRiHgQGNXOrF07WH4cMK472zQzs66rpevsIcAgUvfZX+bHh9QzKDMzay1Vaxb54rcfR8RhDYrHzMxaUNnNjxYBg/K5BTMz66VqOWfxDPAHSZNJ10QAEBFn1SsoMzNrLbUki1n5bwXA97YwM+uFahnu41RJq6aH8XrZ8mZmtvypes5C0hckTQeeBaZLelbSFxoTmpmZtYpqY0OdRLpae+eIWDtfvf0RYM88z8zMeolqNYvDgdER8VSlID8+GDii3oGZmVnrKOs6O7+dsjfo/s2PzMxsGVItWcyU9LbhNyTtAsyuX0hmZtZqqvWG+k/gekl3s2S48m2AnUh3rzMzs16i2hDlU4Atgd8Bw0l3uPsdsGWeZ2ZmvUTV6yzyOYuLGhSLmZm1qFpGnTUzs17OycLMzEpVuyjvtvz/e40Lx8zMWlG1cxaDJX0Y2E/SVYCKMyPiL3WNzMzMWka1ZHEyMBbYEGg7HHkAu9QrKDMzay0dJouIuAa4RtI3I+K0BsZkZmYtppYhyk+TtB/woVx0Z0TcUN+wzMyslZT2hpJ0OnA88Gj+Oz6XmZlZL1HLnfL2BraOiMUAkiYAfwVOrGdgZmbWOmq9zmLNwuM16hGImZm1rlpqFqcDf5V0B6n77IdwrcLMrFep5QT3REl3kkacFfDfEfFcvQMzM7PWUUvNgoiYDUyucyxmZtaiPDaUmZmVcrIwM7NSVZOFpBUkPdKoYMzMrDVVTRb52oqHJA1rUDxmZtaCajnBPRiYIule4PVKYUTsV7eozMyspdSSLE6texRmZtbSSk9wR8RdwDNAv/z4PqDb97KQ1EfSXyXdkKcHSrpV0hP5/1qFZU+UNE3S45J27+62zcysc2oZSPCzwDXAz3PREOC6Htj28cDUwvRY4LaI2Ay4LU8jaSQwBtgC2AM4V1KfHti+mZnVqJaus8cBOwGvAkTEE8C63dmopA1JAxReUCjeH5iQH08ADiiUXxURb0bE08A0YNvubN/MzDqnlmTxZkS8VZmQ1Jd0p7zu+BHwdWBxoWy9fKV45YrxSkIaAswoLDczl5mZWYPUkizukvQNYCVJHwWuBn7V1Q1K2gd4PiIeqHWVdsraTVaSjpF0v6T7586d29UQzcysjVqSxVhgLvAwcCxwI3BSN7a5E7CfpGeAq4BdJF0OzJE0GCD/fz4vPxMYWlh/Q2BWe08cEeMjYlREjBo0aFA3QjQzs6JaekMtJp1DOI3UjXZCRHS5GSoiToyIDSNiOOnE9e0RcRhpoMIj82JHAtfnx5OBMZIGSBoBbAbc29Xtm5lZ55VeZyFpb+A84ElSk9AIScdGxE09HMsZwCRJRwPTgYMAImKKpEmkW7ouBI6LiEU9vG0zM6uilovyfgB8JCKmAUjaBPg10O1kERF3Anfmxy8Cu3aw3DhgXHe3Z2ZmXVPLOYvnK4kie4ol5xPMzKwX6LBmIWl0fjhF0o3AJFIvpINIV3GbmVkvUa0Zat/C4znAh/PjucBab1/czMyWVx0mi4g4qpGBmJlZ66qlN9QI4EvA8OLyHqLczKz3qKU31HXAhaSrtheXLGtmZsuhWpLF/Ij4cd0jMTOzllVLsjhb0inALcCblcKI6PY9LczMbNlQS7J4N3A4sAtLmqEiT5uZWS9QS7L4D2Dj4jDlZmbWu9RyBfdDwJr1DsTMzFpXLTWL9YDHJN3H0ucs3HXWzKyXqCVZnFL3KMzMrKWVJouIuKsRgZiZWeuq5Qru11hyG9P+QD/g9YhYvZ6BmZlZ66ilZrFacVrSAcC2dYvIzMxaTi29oZYSEdfhayzMzHqVWpqhRhcmVwBGsaRZyszMeoFaekMV72uxEHgG2L8u0ZiZWUuq5ZyF72thZtbLVbut6slV1ouIOK0O8ZiZWQuqVrN4vZ2yVYCjgbUBJwszs16i2m1Vf1B5LGk14HjgKOAq4AcdrWdmZsufqucsJA0Evgp8EpgAvC8iXm5EYGZm1jqqnbP4PjAaGA+8OyLmNSwqMzNrKdUuyjsB2AA4CZgl6dX895qkVxsTnpmZtYJq5yw6fXW3mZktn5wQzMyslJOFmZmVcrIwM7NSThZmZlbKycLMzEo5WZiZWSknCzMzK9XwZCFpqKQ7JE2VNEXS8bl8oKRbJT2R/69VWOdESdMkPS5p90bHbGbW2zWjZrEQOCEiNge2B46TNBIYC9wWEZsBt+Vp8rwxwBbAHsC5kvo0IW4zs16r4ckiImZHxF/y49eAqcAQ0t33JuTFJgAH5Mf7A1dFxJsR8TQwDdi2sVGbmfVuTT1nIWk48F7gz8B6ETEbUkIB1s2LDQFmFFabmcvMzKxBmpYsJK0K/B/w5YioNjCh2imLDp7zGEn3S7p/7ty5PRGmmZnRpGQhqR8pUVwREdfm4jmSBuf5g4Hnc/lMYGhh9Q2BWe09b0SMj4hRETFq0KBB9QnezKwXakZvKAEXAlMj4qzCrMnAkfnxkcD1hfIxkgZIGgFsBtzbqHjNzKzkTnl1shNwOPCwpAdz2TeAM4BJko4GpgMHAUTEFEmTgEdJPamOi4hFjQ/bzKz3aniyiIi7af88BMCuHawzDhhXt6DMzKwqX8FtZmalnCzMzKyUk4WZmZVysjAzs1JOFmZmVsrJwszMSjlZmJlZKScLMzMr5WRhZmalnCzMzKyUk4WZmZVysjAzs1JOFmZmVsrJwszMSjlZmJlZKScLMzMr5WRhZmalnCzMzKyUk4WZmZVysjAzs1JOFmZmVsrJwszMSjlZmJlZKScLMzMr5WRhZmalnCzMzKyUk4WZmZVysjAzs1JOFmZmVsrJwszMSjlZmJlZKScLMzMr5WRhZmalnCzMzKzUMpMsJO0h6XFJ0ySNbXY8Zma9yTKRLCT1Ac4B9gRGAodIGtncqMzMeo9lIlkA2wLTIuKpiHgLuArYv8kxmZn1GoqIZsdQStKBwB4R8Zk8fTiwXUR8sc1yxwDH5Ml3Ao83NNAl1gFeaNK2yzi2rnFsXePYuqaZsW0UEYPaFvZtRiRdoHbK3pblImI8ML7+4VQn6f6IGNXsONrj2LrGsXWNY+uaVoxtWWmGmgkMLUxvCMxqUixmZr3OspIs7gM2kzRCUn9gDDC5yTGZmfUay0QzVEQslPRF4GagD3BRRExpcljVNL0prArH1jWOrWscW9e0XGzLxAluMzNrrmWlGcrMzJrIycLMzEo5WZiZWSkniyaQtK2kNSStmqdb5jg4tq5xbF3j2HqGpPauRevZbfgEd2NJGg8MBx4C1gS+GxFPS1ohIhY7Nsfm2BxbGUnHAk8Dr0bEn3KZoo5f6C2bKZdHeZiSIRHxMeCnpG7Al0naOCIWN+LXgWNzbI5t2Y0tx3cZsA+wHfBZSeMAIiLqGZuTRWMNII9XFRHPAvcCLwE/k7RuPX8VODbH5tiW/dgkvQNYIyL2BcYBvwE+Kel7OV7XLJYTtwP7SPofSe8iXYl+DqmqO7yZgeHYusqxdY1j65r+wJaSNsjNYU8A1wAjc42obpws6kzS7pXHEfEUcBDwMeB4YHJE3Ex6A7zbsTk2x+bYqomIR4ArgN9J+ixwEfAgMJE0Zl5dN+6/Ov0BVwLTgTPalPcldy7I078CjnBsjs2xObZ24hsL7Nam7DPA0cAhefr9wAVAv3rF4ZpFnUjanjRS7lHAQElnFOdHREhaS9KlwLyIuNSxOTbH5tjaxHcJ8Dngy5L2LMR1QURcGBETc9GpwEsRsaBuwTQ6S/amP2ATYEVgG2ACb//lshLw8cL0Co7NsTk2x5a30w/4X+ADwMHAr0k3gYMllz2sBJwOjC+sp7rE06gD0lv+gC2AEW3K+pKqiZcCp+SyMcCK9T7Ajs2xObZlK7Z2YuoHrA4cmRPGPm2W2bjwuG6JzBfl9SBJl5N6S8wCFkfEmMK8AcBGpPbHA4EbIuJQx+bYHJtjaxPfsaRzKK9ExD2F8jWB0aRrLM4F9gYmRMSDeX5dL8prWIZc3v9IvSfuzI8HADeRurSt2Ga5+/MBrkw34leUY3Nsjq3FY8vbOR/4PfA/wAzanFAn3WL6MGABcH0jYqr8+QR3z3kCeEbSGhHxZkTsSbpP+NWVBSTtBTwSEUfm6RUivwMcm2NzbL07NkkjgHcCu0fEOFIT2ImSjqosk+M4GvhFROyf12vMFeWNzEzL8x+p6vp/wEfalN8OfL2d5Rt5As+xOTbH1vqxDQDOAz5I7gIL7AjMBkbn6RWB/2pGfK5ZdIOkr0r6Vr6gZzrpTfhDSTtK6pMXO6u9daPOg5E5Nsfm2Fo/thzfWnlbb5ISw6fIt7yOiD8CxwKH59rQ/Ig4M6/X0EENl4l7cLciSReTeig8ChwK9ImIKyWtDpwJXCLpYeALwGOOzbE5NsfWTnw/AjaR9DRwRUScKul64DxJX42IF4E7SXgnNwYAAAq8SURBVD2hFhbXbWSiAA9R3iWSDgGOjYid8/RXgL0i4qN5ei/gfcBWwPMR8UXH5tgcm2NrE9/5pOHPx5KuyF4pIr6c500E/kWqaWwN/DMiPtnI+N6mUe1dy8sfcASwKvAeliTbgcC1wOptlu1XeFz3tkXH5tgcW+vHlrczBLgOWDNPr0uq/YwqLLMXcAwwtlDW0Os8in8+Z9F5B5BOhD0U+egBi0gHeyGApP1y++KCPK1oTJXRsTk2x9bisUk6hXQvikOBf0laMSKeJ/XU6l9ZLiJujIjxEXFGXq9RPcba5WRRo8KJsC8AIWmzXN6fdIDnAn1z9XGHiPhnZd16H+BWjq3AsS0nsWnJ7UVbMbbKediWi63gVuBw0hXkb0XE/Fz+KqlHFJK+KWmr4koNSrIdcrLovDdIHQN2AMgHe26edyepbfHERgYUEYvyw3mtFJukLQqJ7LUWi+0gSWu0aGz/I2lYnny9xWJbidR9E1rzs1A5CfwGaZiMlokN/n1NxD2kmxZtnMsG5NkvAxtKupCUSP7W6Piqalb717LyR+pSdxbwA9KtFgFGkq7w3CVP9yHdGGVSYb1GtMueB9zC0m2uI4H7gF2bHNtFpPsW0ya2VthvlwOXAQMLZVvk2Jq9334CvAB8iSVt7ZVj2uz9Nj7vtxtJX2atdEy/D5wGfAPYJJdt1Qqx5e0MBVYtTI8mXQhYLPsO6aT2mYWypp2jeNtraHYArfxHGh/+GmA34ELyiI953r7At4C18/SQwrxGfDj652Txav5iHlCYt3eTY7sQuKZNWeWLr9n77WDgxmJc5KEeSGPuNDO2nwG/IF2hO6nNvD2BU5oc2zXAsPzFvF9h3n5N3m8/z1+8OwInAE8CI1shtrydC4G78vdJMRF8l5SAKxfgfRb4ZaPjq/XPzVAdkLQvqU/2gRHxW9KX886SDpe0Eakqu3r+g9TFrWEXykTEW6QPyGeANUgjZVaGDHgEWKUZsUnamdQd8fI8/XFJXwW+kWO7iybuN9JxnJ63eTxpQLabJW0L/Jm0LyvNU43cb18A1omIT0TEhcBQSd8qLPIkqXdPM45pH1KTztciYnqOYT9J50janNQGv0aTYlOO7fORLmAbD7wI3KR0v+q7gdWaEVvezudJzU17kVonRkm6Ns/+JvAcqQZERJwfEf/RyPg6w8miHbkt+2bSSbJKf+1RwBxgU1L3uxWAacBFuTfDYmjI1ajrFiZXAT4cER8HBkiaBZwd6Sbzs5sQ25rAn0j3BHiXpEnA1/LstYGr8uMnmxDb+vnhI8ALkj5K6jHzE9Id0K4ktcVPAS5scGyrAJdExEGF4lOA9bXk6t6/AzNp/H5bjzR20lrAFyX9DPgwMJn0eagk/8eaFJtII8gekYtXA35LqqF9OyJeIv04aGhsBU8Cf4iI1yNiaqRrPtaTdHmkc40vA7sXV2hgj7FO8RXcbUi6ANiAlPFvkPQb4HHggxHxQl5mGKld9FylK0HXzMs3Irb1Jb1AahL4I6nNGNIXyXak0SiJiLPyibNGxrYB6cPxF2CdHMvoiJiVl7mENPb+OZJWa3Bs60t6jlR72Jn0a29yRDwKPCppbVIz4/mSBjU4tg2A5yVdB9wVES+T9uM2wB6k+ysTEWdLWrnBsQ0GppJGQgVYHzg5IiYDk/N+2z4ifi5pYBNim0I6b3eKpKHALqRm2YuBcyQNyPttpUbF1sYCYBdJG0e6tzfAh4Able58dz5wh6TpEXE5NLRXVqe4ZlEg6YukL5HRpAtkdgC+DkyrJIpsKKm/NsD3IqIRH45KbAeSfh1/iDSM8e6SKkljQ2BdSV/Oq53R4NhGk4ZVHkqq9ZxZSRTZUGC9/LgZ++0J0i/kJ0n7a/NK10rSCe7K6J3N2G+PkNvcJa0ZEU+S2rS/IGl4YbVGx/Zx0gn3NUm1w3mkHwIVm7Ok2a4Zsb0MzCc1yV4LHBwRZ0fEqznO4Xm1hrzfcnwXS7oMICLuILVS3JmTGblG8Rtgg4iYRxoL6o5GxNYdThZL6wv8NlK/57NJd6VaBThO0gBJq0u6Eng6In4DDf0V0Da2m0h9xv9B+oLeK78JPxwRP2pibD8ktRPPB/aU1FfSirlf+1MRcXMTYzuLVOuZQqqVrQwcK+lW0nAP45sY29mkXkYDSO+3lUhNPM+TfkHTxNh+QDpHt5B0gvssSefm/fZM5PtSNzG2h0mfhR1Jw48PkHQT6Zg+3sjYJJ1M+iGyUv6uICJOJZ1TvF3SbpKGAB8j1SiJiCkR8Y9GxNct9Tpzviz+Ae8ldVH8SJ4WqRngPNKv9u/QgHvddiK2fYDvAevnsqbc/rHKfvs56QMxFji3hWLbm3Tf4k1IbdzbFZZv5JDU1fbburnso42Kp8b32zdJzZ1jKNyYp0X223n5/bYfMK5J77dNSOc3VyGNbjuxMO/z+dj+inSOquHHtVuvrdkBtNofaSyWC4CdCmXXk06GFrunNrxbW5XYjmzh/TYa6N+C++1XtHMXshaJ7XrgqBaN7dekpp7icq1yTK9vkdhWyP/XJp1b/EVh3hbAys2Mr6t/boZ6u0mkau2XJB2Yy/oAa0Qab76ZvRXai20FoBV6TnS031aL1M231fabSL18/i3yp7fBOtpvbYejbpXYgjwkRUULHdM+LLm6HGhObLGkx9WLwHHAQkmXSZoMfCAi/gWt2+upIx6ivB2SViW1KZ5BOtFNRBzQ1KAyx9Y1jq1rHFvX5WQQucfkXOC6iPhEs+PqKieLKvJ1A/0jjQjZUhfKOLaucWxd49i6TtJ5pGHRD83TLRVfrZwsalT5ldDsONrj2LrGsXWNY+scSUMjYkZ+vEwmCnCyMDNriFZMZJ3hZGFmZqXcG8rMzEo5WZiZWSknCzMzK+VkYb2apLUlPZj/npP0j/x4nqRz67C9bxW28Yik/Tq5/rcl7daJ5XeWdEPnIzVbmocot14tX2W7NaQvcmBeRJxZ583+MCLOVLpx0O8lrVtLd0pJfSLi5DrHZtYu1yzM2lH8RZ5rAxMk3SLpGUmjJf2vpIcl/UZSv7zc+yXdJekBSTdLGlxtGxExlTSsxzqSPibpHkl/kXR1vjqZvL2TJd0NHCTpksrwFpJ2lfTXHMdFSvcvQdIekh7L64yu316y3sTJwqw2m5BGq92fdMvYOyLi3cAbwN45YfwEODAi3k+6Ac+4ak8oaTvSuF4BnATsFhHvA+4HvlpYdH5EfCAiriqsuyJwCfCJHEdf4PO5/HzSvc4/SLpZkVm3uRnKrDY3RcQCSQ+TBqz7TS5/mHSDnXcCWwK3SiIvM7uD5/qKpMOA14BPkIb8Hgn8Ia/bH7insPwv2nmOd5Luq/L3PD2BNGjdnbn8CQBJl5NGaDXrFicLs9q8CWlEUUkLClfiLiZ9jgRMiYgdaniuHxbPi0jaF7g1Ig7pYPnX2ylTO2UVvtLWepybocx6xuPAIEk7AEjqJ2mLGtf9E7CTpE3zuitLekfJOo8BwyvrAIeT7qz3GDBC0ia5vKMEZNYpThZmPSDfs+NA4HuSHgIeJN3ms5Z155LuwzxR0t9IyeNdJevMB44Crs5NY4uB83L5McCv8wnuZ7v2isyW5rGhzMyslGsWZmZWysnCzMxKOVmYmVkpJwszMyvlZGFmZqWcLMzMrJSThZmZlXKyMDOzUv8PgVRYYDy5KMcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_discount_orders_grouped = df_discount_orders.groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins = []\n",
    "list_of_group_sizes = []\n",
    "for name, group in df_discount_orders_grouped:\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes.append(len(group.index))\n",
    "\n",
    "plt.bar(list_of_date_bins, list_of_group_sizes)\n",
    "plt.xticks(rotation = 45)\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.ylabel(\"Number of Orderlines\")\n",
    "plt.title(\"Orderlines over time from customers given discount\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Orders over time from customers not given discount')"
      ]
     },
     "execution_count": 40,
     "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": [
    "df_no_discount_orders_grouped = df_no_discount_orders.groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins = []\n",
    "list_of_group_sizes = []\n",
    "for name, group in df_no_discount_orders_grouped:\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes.append(len(group.index))\n",
    "\n",
    "plt.bar(list_of_date_bins, list_of_group_sizes)\n",
    "plt.xticks(rotation = 45)\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.ylabel(\"Number of Orders\")\n",
    "plt.title(\"Orders over time from customers not given discount\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Average % online"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Percentage')"
      ]
     },
     "execution_count": 41,
     "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": [
    "df_discount_orders_grouped = df_discount_orders.groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins = []\n",
    "list_of_average_online_orders = []\n",
    "for name, group in df_discount_orders_grouped:\n",
    "    customer_level_group_by = group.groupby(\"CustomerId\")\n",
    "    list_of_customer_averages_in_one_month = []\n",
    "    for customer, customer_dataframe in customer_level_group_by:  \n",
    "        list_of_customer_averages_in_one_month.append( len(customer_dataframe[customer_dataframe['PurchaseOrderTypeDescription'] == 'Webshop']) / len(customer_dataframe))\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_average_online_orders.append(100*np.mean(list_of_customer_averages_in_one_month))\n",
    "\n",
    "plt.bar(list_of_date_bins, list_of_average_online_orders)\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.title(\"Average Percentage of Webshop Orderlines per Discount Group Customer over Time\")\n",
    "plt.ylabel(\"Percentage\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Percentage')"
      ]
     },
     "execution_count": 42,
     "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": [
    "df_no_discount_orders_grouped = df_no_discount_orders.groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins = []\n",
    "list_of_average_online_orders = []\n",
    "for name, group in df_no_discount_orders_grouped:\n",
    "    customer_level_group_by = group.groupby(\"CustomerId\")\n",
    "    list_of_customer_averages_in_one_month = []\n",
    "    for customer, customer_dataframe in customer_level_group_by:  \n",
    "        list_of_customer_averages_in_one_month.append( len(customer_dataframe[customer_dataframe['PurchaseOrderTypeDescription'] == 'Webshop']) / len(customer_dataframe))\n",
    "    list_of_date_bins.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_average_online_orders.append(100*np.mean(list_of_customer_averages_in_one_month))\n",
    "\n",
    "plt.bar(list_of_date_bins, list_of_average_online_orders)\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.title(\"Average Percentage of Webshop Orderlines per No Discount Group Customer over Time\")\n",
    "plt.ylabel(\"Percentage\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Offline order analysis - Customers with discount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Breakup of Offline Orders per Month for Discounted Customers')"
      ]
     },
     "execution_count": 43,
     "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": [
    "discounted_offline_df = df_discount_orders[df_discount_orders['PurchaseOrderTypeDescription'] == 'Offline']\n",
    "discounted_genpub_df = df_discount_orders[df_discount_orders['MaterialGroup2Description'] == 'General published'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "discounted_notpub_df = df_discount_orders[df_discount_orders['MaterialGroup2Description'] == 'Do not publish'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "discounted_custspec_df = df_discount_orders[df_discount_orders['MaterialGroup2Description'] == 'Customer-specific published'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins_genpub = []\n",
    "list_of_group_sizes_genpub = []\n",
    "for name, group in discounted_genpub_df:\n",
    "    list_of_date_bins_genpub.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_genpub.append(group.shape[0])\n",
    "\n",
    "list_of_date_bins_notpub = []\n",
    "list_of_group_sizes_notpub = []\n",
    "for name, group in discounted_notpub_df:\n",
    "    list_of_date_bins_notpub.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_notpub.append(group.shape[0])\n",
    "    \n",
    "list_of_date_bins_custspec = []\n",
    "list_of_group_sizes_custspec = []\n",
    "for name, group in discounted_custspec_df:\n",
    "    list_of_date_bins_custspec.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_custspec.append(group.shape[0])\n",
    "\n",
    "list_of_group_sizes_genpub_normed = [x*100 / (float(len(df_orders))) for x in list_of_group_sizes_genpub]\n",
    "list_of_group_sizes_notpub_normed = [x*100 / float(len(df_orders)) for x in list_of_group_sizes_notpub]\n",
    "list_of_group_sizes_custspec_normed = [x*100 / float(len(df_orders)) for x in list_of_group_sizes_custspec]\n",
    "\n",
    "genpub_plus_notpub = [x + y for x, y in zip(list_of_group_sizes_genpub, list_of_group_sizes_notpub)]\n",
    "genpub_plus_notpub_normed = [x + y for x, y in zip(list_of_group_sizes_genpub_normed, list_of_group_sizes_notpub_normed)]\n",
    "\n",
    "plt.bar(list_of_date_bins_genpub, list_of_group_sizes_genpub, label = 'Gen Pub')\n",
    "plt.bar(list_of_date_bins_notpub, list_of_group_sizes_notpub, bottom = list_of_group_sizes_genpub, label = 'Not Pub')\n",
    "plt.bar(list_of_date_bins_custspec, list_of_group_sizes_custspec, bottom = genpub_plus_notpub, label = 'Cust Spec')\n",
    "\n",
    "plt.legend()\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.ylabel(\"# of All Orderlines\")\n",
    "plt.title(\"Breakup of Offline Orders per Month for Discounted Customers\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Offline order analysis - Customers without discount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Breakup of Offline Orders per Month for No Discount Customers')"
      ]
     },
     "execution_count": 44,
     "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": [
    "not_discounted_offline_df = df_no_discount_orders[df_no_discount_orders['PurchaseOrderTypeDescription'] == 'Offline']\n",
    "not_discounted_genpub_df = df_no_discount_orders[df_no_discount_orders['MaterialGroup2Description'] == 'General published'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "not_discounted_notpub_df = df_no_discount_orders[df_no_discount_orders['MaterialGroup2Description'] == 'Do not publish'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "not_discounted_custspec_df = df_no_discount_orders[df_no_discount_orders['MaterialGroup2Description'] == 'Customer-specific published'].groupby(pd.Grouper(key = \"SalesDocumentHeaderCreationDate\", freq='M'))\n",
    "\n",
    "list_of_date_bins_genpub = []\n",
    "list_of_group_sizes_genpub = []\n",
    "for name, group in not_discounted_genpub_df:\n",
    "    list_of_date_bins_genpub.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_genpub.append(group.shape[0])\n",
    "\n",
    "list_of_date_bins_notpub = []\n",
    "list_of_group_sizes_notpub = []\n",
    "for name, group in not_discounted_notpub_df:\n",
    "    list_of_date_bins_notpub.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_notpub.append(group.shape[0])\n",
    "    \n",
    "list_of_date_bins_custspec = []\n",
    "list_of_group_sizes_custspec = []\n",
    "for name, group in not_discounted_custspec_df:\n",
    "    list_of_date_bins_custspec.append(name.date().strftime('%m/%Y'))\n",
    "    list_of_group_sizes_custspec.append(group.shape[0])\n",
    "\n",
    "list_of_group_sizes_genpub_normed = [x*100 / (float(len(df_orders))) for x in list_of_group_sizes_genpub]\n",
    "list_of_group_sizes_notpub_normed = [x*100 / float(len(df_orders)) for x in list_of_group_sizes_notpub]\n",
    "list_of_group_sizes_custspec_normed = [x*100 / float(len(df_orders)) for x in list_of_group_sizes_custspec]\n",
    "\n",
    "genpub_plus_notpub = [x + y for x, y in zip(list_of_group_sizes_genpub, list_of_group_sizes_notpub)]\n",
    "genpub_plus_notpub_normed = [x + y for x, y in zip(list_of_group_sizes_genpub_normed, list_of_group_sizes_notpub_normed)]\n",
    "\n",
    "plt.bar(list_of_date_bins_genpub, list_of_group_sizes_genpub, label = 'Gen Pub')\n",
    "plt.bar(list_of_date_bins_notpub, list_of_group_sizes_notpub, bottom = list_of_group_sizes_genpub, label = 'Not Pub')\n",
    "plt.bar(list_of_date_bins_custspec, list_of_group_sizes_custspec, bottom = genpub_plus_notpub, label = 'Cust Spec')\n",
    "\n",
    "plt.legend()\n",
    "plt.xticks(rotation = 45)\n",
    "\n",
    "plt.xlabel(\"Time Period\")\n",
    "plt.ylabel(\"# of All Orderlines\")\n",
    "plt.title(\"Breakup of Offline Orders per Month for No Discount Customers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.3"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "878.438px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}