Code/CustomerRetention.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "from datetime import datetime\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('max_columns', 50)\n",
    "mpl.rcParams['lines.linewidth'] = 4\n",
    "sns.set(style='white')\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('../Data/customerData.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Invoice</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>Price</th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Invoice StockCode                          Description  Quantity  \\\n",
       "0  536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1  536365     71053                  WHITE METAL LANTERN         6   \n",
       "2  536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3  536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4  536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "     InvoiceDate  Price  Customer ID         Country  \n",
       "0  01/12/10 8:26   2.55      17850.0  United Kingdom  \n",
       "1  01/12/10 8:26   3.39      17850.0  United Kingdom  \n",
       "2  01/12/10 8:26   2.75      17850.0  United Kingdom  \n",
       "3  01/12/10 8:26   3.39      17850.0  United Kingdom  \n",
       "4  01/12/10 8:26   3.39      17850.0  United Kingdom  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Invoice</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
       "      <th>Price</th>\n",
       "      <th>Customer ID</th>\n",
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>2.55</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>2010-12</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
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       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
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       "      <th>2</th>\n",
       "      <td>536365</td>\n",
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       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>2.75</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>2010-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>2010-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>2010-12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "  Invoice StockCode                          Description  Quantity  \\\n",
       "0  536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "1  536365     71053                  WHITE METAL LANTERN         6   \n",
       "2  536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "3  536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "4  536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "     InvoiceDate  Price  Customer ID         Country OrderPeriod  \n",
       "0  01/12/10 8:26   2.55      17850.0  United Kingdom     2010-12  \n",
       "1  01/12/10 8:26   3.39      17850.0  United Kingdom     2010-12  \n",
       "2  01/12/10 8:26   2.75      17850.0  United Kingdom     2010-12  \n",
       "3  01/12/10 8:26   3.39      17850.0  United Kingdom     2010-12  \n",
       "4  01/12/10 8:26   3.39      17850.0  United Kingdom     2010-12  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['OrderPeriod'] = df.InvoiceDate.apply(lambda x: datetime.strptime(x, \"%d/%m/%y %H:%M\").strftime('%Y-%m'))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4373"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pd.unique(df['Customer ID']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "541910"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
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       "      <th>Invoice</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>InvoiceDate</th>\n",
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       "      <th>Customer ID</th>\n",
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       "      <th>17850.0</th>\n",
       "      <td>536365</td>\n",
       "      <td>85123A</td>\n",
       "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
       "      <td>6</td>\n",
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       "      <th>17850.0</th>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>2.75</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>2010-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17850.0</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>2010-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17850.0</th>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>2010-12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "            Invoice StockCode                          Description  Quantity  \\\n",
       "Customer ID                                                                    \n",
       "17850.0      536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
       "17850.0      536365     71053                  WHITE METAL LANTERN         6   \n",
       "17850.0      536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
       "17850.0      536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
       "17850.0      536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
       "\n",
       "               InvoiceDate  Price         Country OrderPeriod  \n",
       "Customer ID                                                    \n",
       "17850.0      01/12/10 8:26   2.55  United Kingdom     2010-12  \n",
       "17850.0      01/12/10 8:26   3.39  United Kingdom     2010-12  \n",
       "17850.0      01/12/10 8:26   2.75  United Kingdom     2010-12  \n",
       "17850.0      01/12/10 8:26   3.39  United Kingdom     2010-12  \n",
       "17850.0      01/12/10 8:26   3.39  United Kingdom     2010-12  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.set_index('Customer ID', inplace=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['CohortGroup'] = df.groupby(level=0)['InvoiceDate'].min().apply(lambda x: datetime.strptime(x, \"%d/%m/%y %H:%M\").strftime('%Y-%m'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Customer ID</th>\n",
       "      <th>Invoice</th>\n",
       "      <th>StockCode</th>\n",
       "      <th>Description</th>\n",
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       "      <td>01/12/10 8:26</td>\n",
       "      <td>2.55</td>\n",
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       "      <td>2010-12</td>\n",
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       "      <th>1</th>\n",
       "      <td>17850.0</td>\n",
       "      <td>536365</td>\n",
       "      <td>71053</td>\n",
       "      <td>WHITE METAL LANTERN</td>\n",
       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>2010-12</td>\n",
       "      <td>2010-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17850.0</td>\n",
       "      <td>536365</td>\n",
       "      <td>84406B</td>\n",
       "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
       "      <td>8</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>2.75</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>2010-12</td>\n",
       "      <td>2010-12</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17850.0</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029G</td>\n",
       "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>2010-12</td>\n",
       "      <td>2010-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17850.0</td>\n",
       "      <td>536365</td>\n",
       "      <td>84029E</td>\n",
       "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
       "      <td>6</td>\n",
       "      <td>01/12/10 8:26</td>\n",
       "      <td>3.39</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>2010-12</td>\n",
       "      <td>2010-12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Customer ID Invoice StockCode                          Description  \\\n",
       "0      17850.0  536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER   \n",
       "1      17850.0  536365     71053                  WHITE METAL LANTERN   \n",
       "2      17850.0  536365    84406B       CREAM CUPID HEARTS COAT HANGER   \n",
       "3      17850.0  536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE   \n",
       "4      17850.0  536365    84029E       RED WOOLLY HOTTIE WHITE HEART.   \n",
       "\n",
       "   Quantity    InvoiceDate  Price         Country OrderPeriod CohortGroup  \n",
       "0         6  01/12/10 8:26   2.55  United Kingdom     2010-12     2010-12  \n",
       "1         6  01/12/10 8:26   3.39  United Kingdom     2010-12     2010-12  \n",
       "2         8  01/12/10 8:26   2.75  United Kingdom     2010-12     2010-12  \n",
       "3         6  01/12/10 8:26   3.39  United Kingdom     2010-12     2010-12  \n",
       "4         6  01/12/10 8:26   3.39  United Kingdom     2010-12     2010-12  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.reset_index(inplace=True)\n",
    "df.head() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>TotalUsers</th>\n",
       "      <th>TotalOrders</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CohortGroup</th>\n",
       "      <th>OrderPeriod</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2010-12</th>\n",
       "      <th>2010-12</th>\n",
       "      <td>389.0</td>\n",
       "      <td>614</td>\n",
       "      <td>30812.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-01</th>\n",
       "      <td>73.0</td>\n",
       "      <td>113</td>\n",
       "      <td>6626.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-02</th>\n",
       "      <td>56.0</td>\n",
       "      <td>83</td>\n",
       "      <td>4018.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-03</th>\n",
       "      <td>71.0</td>\n",
       "      <td>109</td>\n",
       "      <td>5537.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-04</th>\n",
       "      <td>60.0</td>\n",
       "      <td>80</td>\n",
       "      <td>3541.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         TotalUsers  TotalOrders     Price\n",
       "CohortGroup OrderPeriod                                   \n",
       "2010-12     2010-12           389.0          614  30812.02\n",
       "            2011-01            73.0          113   6626.68\n",
       "            2011-02            56.0           83   4018.29\n",
       "            2011-03            71.0          109   5537.58\n",
       "            2011-04            60.0           80   3541.32"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped = df.groupby(['CohortGroup', 'OrderPeriod'])\n",
    "\n",
    "cohorts = grouped.agg({'Customer ID':pd.Series.nunique,\n",
    "                       'Invoice':pd.Series.nunique,\n",
    "                       'Price':np.sum})\n",
    "cohorts.rename(columns = {'Customer ID': 'TotalUsers',\n",
    "               'Invoice': 'TotalOrders'}, inplace = True)\n",
    "cohorts.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>TotalUsers</th>\n",
       "      <th>TotalOrders</th>\n",
       "      <th>Price</th>\n",
       "      <th>CohortPeriod</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CohortGroup</th>\n",
       "      <th>OrderPeriod</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2011-12</th>\n",
       "      <th>2011-08</th>\n",
       "      <td>85.0</td>\n",
       "      <td>131</td>\n",
       "      <td>6750.49</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-09</th>\n",
       "      <td>114.0</td>\n",
       "      <td>184</td>\n",
       "      <td>12495.41</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-10</th>\n",
       "      <td>139.0</td>\n",
       "      <td>223</td>\n",
       "      <td>28079.96</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-11</th>\n",
       "      <td>184.0</td>\n",
       "      <td>330</td>\n",
       "      <td>20253.78</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-12</th>\n",
       "      <td>350.0</td>\n",
       "      <td>437</td>\n",
       "      <td>21813.12</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         TotalUsers  TotalOrders     Price  CohortPeriod\n",
       "CohortGroup OrderPeriod                                                 \n",
       "2011-12     2011-08            85.0          131   6750.49             9\n",
       "            2011-09           114.0          184  12495.41            10\n",
       "            2011-10           139.0          223  28079.96            11\n",
       "            2011-11           184.0          330  20253.78            12\n",
       "            2011-12           350.0          437  21813.12            13"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def cohort_period(df):\n",
    "    df['CohortPeriod'] = np.arange(len(df))+1\n",
    "    return df\n",
    "\n",
    "cohorts = cohorts.groupby(level=0).apply(cohort_period)\n",
    "cohorts.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "cohorts.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>OrderPeriod</th>\n",
       "      <th>TotalUsers</th>\n",
       "      <th>TotalOrders</th>\n",
       "      <th>Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CohortGroup</th>\n",
       "      <th>CohortPeriod</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2010-12</th>\n",
       "      <th>1</th>\n",
       "      <td>2010-12</td>\n",
       "      <td>389.0</td>\n",
       "      <td>614</td>\n",
       "      <td>30812.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011-01</td>\n",
       "      <td>73.0</td>\n",
       "      <td>113</td>\n",
       "      <td>6626.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011-02</td>\n",
       "      <td>56.0</td>\n",
       "      <td>83</td>\n",
       "      <td>4018.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2011-03</td>\n",
       "      <td>71.0</td>\n",
       "      <td>109</td>\n",
       "      <td>5537.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2011-04</td>\n",
       "      <td>60.0</td>\n",
       "      <td>80</td>\n",
       "      <td>3541.32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         OrderPeriod  TotalUsers  TotalOrders     Price\n",
       "CohortGroup CohortPeriod                                               \n",
       "2010-12     1                2010-12       389.0          614  30812.02\n",
       "            2                2011-01        73.0          113   6626.68\n",
       "            3                2011-02        56.0           83   4018.29\n",
       "            4                2011-03        71.0          109   5537.58\n",
       "            5                2011-04        60.0           80   3541.32"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cohorts.set_index(['CohortGroup', 'CohortPeriod'], inplace=True)\n",
    "cohorts.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CohortGroup\n",
       "2010-12    389.0\n",
       "2011-01     26.0\n",
       "2011-02     58.0\n",
       "2011-03     55.0\n",
       "2011-04     57.0\n",
       "Name: TotalUsers, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cohort_group_size = cohorts['TotalUsers'].groupby(level=0).first()\n",
    "cohort_group_size.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>CohortGroup</th>\n",
       "      <th>2010-12</th>\n",
       "      <th>2011-01</th>\n",
       "      <th>2011-02</th>\n",
       "      <th>2011-03</th>\n",
       "      <th>2011-04</th>\n",
       "      <th>2011-05</th>\n",
       "      <th>2011-06</th>\n",
       "      <th>2011-07</th>\n",
       "      <th>2011-08</th>\n",
       "      <th>2011-09</th>\n",
       "      <th>2011-10</th>\n",
       "      <th>2011-11</th>\n",
       "      <th>2011-12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CohortPeriod</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>389.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>73.0</td>\n",
       "      <td>179.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>56.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>270.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>71.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>327.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>67.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>60.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>306.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "CohortGroup   2010-12  2011-01  2011-02  2011-03  2011-04  2011-05  2011-06  \\\n",
       "CohortPeriod                                                                  \n",
       "1               389.0     26.0     58.0     55.0     57.0     31.0     40.0   \n",
       "2                73.0    179.0     59.0     50.0     48.0     42.0     50.0   \n",
       "3                56.0     27.0    270.0     56.0     52.0     43.0     44.0   \n",
       "4                71.0     31.0     71.0    327.0     58.0     46.0     59.0   \n",
       "5                60.0     26.0     63.0     57.0    306.0     37.0     64.0   \n",
       "\n",
       "CohortGroup   2011-07  2011-08  2011-09  2011-10  2011-11  2011-12  \n",
       "CohortPeriod                                                        \n",
       "1                32.0     34.0     50.0     29.0     71.0     76.0  \n",
       "2                32.0     35.0     53.0     46.0     52.0     64.0  \n",
       "3                28.0     35.0     52.0     27.0     52.0     56.0  \n",
       "4                45.0     48.0     69.0     56.0     72.0     67.0  \n",
       "5                32.0     44.0     62.0     39.0     52.0     57.0  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cohorts['TotalUsers'].unstack(0).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th>CohortGroup</th>\n",
       "      <th>2010-12</th>\n",
       "      <th>2011-01</th>\n",
       "      <th>2011-02</th>\n",
       "      <th>2011-03</th>\n",
       "      <th>2011-04</th>\n",
       "      <th>2011-05</th>\n",
       "      <th>2011-06</th>\n",
       "      <th>2011-07</th>\n",
       "      <th>2011-08</th>\n",
       "      <th>2011-09</th>\n",
       "      <th>2011-10</th>\n",
       "      <th>2011-11</th>\n",
       "      <th>2011-12</th>\n",
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       "    <tr>\n",
       "      <th>CohortPeriod</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>1</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.187661</td>\n",
       "      <td>6.884615</td>\n",
       "      <td>1.017241</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.842105</td>\n",
       "      <td>1.354839</td>\n",
       "      <td>1.250</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.029412</td>\n",
       "      <td>1.06</td>\n",
       "      <td>1.586207</td>\n",
       "      <td>0.732394</td>\n",
       "      <td>0.842105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.143959</td>\n",
       "      <td>1.038462</td>\n",
       "      <td>4.655172</td>\n",
       "      <td>1.018182</td>\n",
       "      <td>0.912281</td>\n",
       "      <td>1.387097</td>\n",
       "      <td>1.100</td>\n",
       "      <td>0.87500</td>\n",
       "      <td>1.029412</td>\n",
       "      <td>1.04</td>\n",
       "      <td>0.931034</td>\n",
       "      <td>0.732394</td>\n",
       "      <td>0.736842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.182519</td>\n",
       "      <td>1.192308</td>\n",
       "      <td>1.224138</td>\n",
       "      <td>5.945455</td>\n",
       "      <td>1.017544</td>\n",
       "      <td>1.483871</td>\n",
       "      <td>1.475</td>\n",
       "      <td>1.40625</td>\n",
       "      <td>1.411765</td>\n",
       "      <td>1.38</td>\n",
       "      <td>1.931034</td>\n",
       "      <td>1.014085</td>\n",
       "      <td>0.881579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.154242</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.086207</td>\n",
       "      <td>1.036364</td>\n",
       "      <td>5.368421</td>\n",
       "      <td>1.193548</td>\n",
       "      <td>1.600</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>1.294118</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.344828</td>\n",
       "      <td>0.732394</td>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.185090</td>\n",
       "      <td>0.961538</td>\n",
       "      <td>1.327586</td>\n",
       "      <td>1.454545</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>8.806452</td>\n",
       "      <td>1.775</td>\n",
       "      <td>1.56250</td>\n",
       "      <td>1.852941</td>\n",
       "      <td>1.50</td>\n",
       "      <td>1.862069</td>\n",
       "      <td>1.126761</td>\n",
       "      <td>1.092105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.185090</td>\n",
       "      <td>1.038462</td>\n",
       "      <td>1.051724</td>\n",
       "      <td>1.272727</td>\n",
       "      <td>1.140351</td>\n",
       "      <td>1.967742</td>\n",
       "      <td>7.700</td>\n",
       "      <td>1.25000</td>\n",
       "      <td>1.823529</td>\n",
       "      <td>1.48</td>\n",
       "      <td>1.793103</td>\n",
       "      <td>1.183099</td>\n",
       "      <td>0.986842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.161954</td>\n",
       "      <td>1.115385</td>\n",
       "      <td>1.155172</td>\n",
       "      <td>1.054545</td>\n",
       "      <td>1.210526</td>\n",
       "      <td>1.612903</td>\n",
       "      <td>1.525</td>\n",
       "      <td>7.50000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.42</td>\n",
       "      <td>1.896552</td>\n",
       "      <td>1.183099</td>\n",
       "      <td>1.026316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.164524</td>\n",
       "      <td>0.769231</td>\n",
       "      <td>1.068966</td>\n",
       "      <td>1.054545</td>\n",
       "      <td>1.140351</td>\n",
       "      <td>1.774194</td>\n",
       "      <td>1.825</td>\n",
       "      <td>1.37500</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>1.46</td>\n",
       "      <td>1.689655</td>\n",
       "      <td>1.084507</td>\n",
       "      <td>1.118421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.164524</td>\n",
       "      <td>1.076923</td>\n",
       "      <td>1.293103</td>\n",
       "      <td>1.509091</td>\n",
       "      <td>1.280702</td>\n",
       "      <td>1.967742</td>\n",
       "      <td>2.125</td>\n",
       "      <td>1.34375</td>\n",
       "      <td>2.264706</td>\n",
       "      <td>7.62</td>\n",
       "      <td>3.103448</td>\n",
       "      <td>1.802817</td>\n",
       "      <td>1.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "CohortGroup    2010-12   2011-01   2011-02   2011-03   2011-04   2011-05  \\\n",
       "CohortPeriod                                                               \n",
       "1             1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
       "2             0.187661  6.884615  1.017241  0.909091  0.842105  1.354839   \n",
       "3             0.143959  1.038462  4.655172  1.018182  0.912281  1.387097   \n",
       "4             0.182519  1.192308  1.224138  5.945455  1.017544  1.483871   \n",
       "5             0.154242  1.000000  1.086207  1.036364  5.368421  1.193548   \n",
       "6             0.185090  0.961538  1.327586  1.454545  1.333333  8.806452   \n",
       "7             0.185090  1.038462  1.051724  1.272727  1.140351  1.967742   \n",
       "8             0.161954  1.115385  1.155172  1.054545  1.210526  1.612903   \n",
       "9             0.164524  0.769231  1.068966  1.054545  1.140351  1.774194   \n",
       "10            0.164524  1.076923  1.293103  1.509091  1.280702  1.967742   \n",
       "\n",
       "CohortGroup   2011-06  2011-07   2011-08  2011-09   2011-10   2011-11  \\\n",
       "CohortPeriod                                                            \n",
       "1               1.000  1.00000  1.000000     1.00  1.000000  1.000000   \n",
       "2               1.250  1.00000  1.029412     1.06  1.586207  0.732394   \n",
       "3               1.100  0.87500  1.029412     1.04  0.931034  0.732394   \n",
       "4               1.475  1.40625  1.411765     1.38  1.931034  1.014085   \n",
       "5               1.600  1.00000  1.294118     1.24  1.344828  0.732394   \n",
       "6               1.775  1.56250  1.852941     1.50  1.862069  1.126761   \n",
       "7               7.700  1.25000  1.823529     1.48  1.793103  1.183099   \n",
       "8               1.525  7.50000  2.000000     1.42  1.896552  1.183099   \n",
       "9               1.825  1.37500  7.500000     1.46  1.689655  1.084507   \n",
       "10              2.125  1.34375  2.264706     7.62  3.103448  1.802817   \n",
       "\n",
       "CohortGroup    2011-12  \n",
       "CohortPeriod            \n",
       "1             1.000000  \n",
       "2             0.842105  \n",
       "3             0.736842  \n",
       "4             0.881579  \n",
       "5             0.750000  \n",
       "6             1.092105  \n",
       "7             0.986842  \n",
       "8             1.026316  \n",
       "9             1.118421  \n",
       "10            1.500000  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_retention = cohorts['TotalUsers'].unstack(0).divide(cohort_group_size, axis=1)\n",
    "user_retention.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "user_retention[['2010-12','2011-05','2011-10','2011-11','2011-12']].plot(figsize=(10,5))\n",
    "plt.title('Cohorts: User Retention')\n",
    "plt.xticks(np.arange(1, 12.1, 1))\n",
    "plt.xlim(1, 12)\n",
    "plt.ylabel('% of Cohort Purchasing');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x1152 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(24, 16))\n",
    "plt.title('Cohorts: User Retention')\n",
    "sns.heatmap(user_retention.T, mask=user_retention.T.isnull(), annot=True, fmt='.0%');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CohortGroup\n",
       "2010-12    614\n",
       "2011-01     37\n",
       "2011-02    164\n",
       "2011-03    108\n",
       "2011-04    143\n",
       "Name: TotalOrders, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cohort_order_size = cohorts['TotalOrders'].groupby(level=0).first()\n",
    "cohort_order_size.head()"
   ]
  },
  {
   "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>CohortGroup</th>\n",
       "      <th>2010-12</th>\n",
       "      <th>2011-01</th>\n",
       "      <th>2011-02</th>\n",
       "      <th>2011-03</th>\n",
       "      <th>2011-04</th>\n",
       "      <th>2011-05</th>\n",
       "      <th>2011-06</th>\n",
       "      <th>2011-07</th>\n",
       "      <th>2011-08</th>\n",
       "      <th>2011-09</th>\n",
       "      <th>2011-10</th>\n",
       "      <th>2011-11</th>\n",
       "      <th>2011-12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CohortPeriod</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.184039</td>\n",
       "      <td>6.351351</td>\n",
       "      <td>0.774390</td>\n",
       "      <td>0.925926</td>\n",
       "      <td>0.524476</td>\n",
       "      <td>1.104167</td>\n",
       "      <td>1.090909</td>\n",
       "      <td>1.02</td>\n",
       "      <td>0.867647</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.034483</td>\n",
       "      <td>0.654545</td>\n",
       "      <td>0.821705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.135179</td>\n",
       "      <td>1.135135</td>\n",
       "      <td>2.439024</td>\n",
       "      <td>0.796296</td>\n",
       "      <td>0.580420</td>\n",
       "      <td>1.312500</td>\n",
       "      <td>0.984848</td>\n",
       "      <td>0.88</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.893805</td>\n",
       "      <td>0.672414</td>\n",
       "      <td>0.618182</td>\n",
       "      <td>0.596899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.177524</td>\n",
       "      <td>1.135135</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.351852</td>\n",
       "      <td>0.762238</td>\n",
       "      <td>1.229167</td>\n",
       "      <td>1.348485</td>\n",
       "      <td>1.28</td>\n",
       "      <td>1.220588</td>\n",
       "      <td>1.247788</td>\n",
       "      <td>1.327586</td>\n",
       "      <td>0.972727</td>\n",
       "      <td>0.813953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.130293</td>\n",
       "      <td>0.891892</td>\n",
       "      <td>0.737805</td>\n",
       "      <td>0.842593</td>\n",
       "      <td>3.055944</td>\n",
       "      <td>1.208333</td>\n",
       "      <td>1.409091</td>\n",
       "      <td>1.04</td>\n",
       "      <td>1.088235</td>\n",
       "      <td>1.159292</td>\n",
       "      <td>0.965517</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.627907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.187296</td>\n",
       "      <td>0.918919</td>\n",
       "      <td>1.030488</td>\n",
       "      <td>1.342593</td>\n",
       "      <td>1.132867</td>\n",
       "      <td>7.979167</td>\n",
       "      <td>1.787879</td>\n",
       "      <td>1.44</td>\n",
       "      <td>2.044118</td>\n",
       "      <td>1.566372</td>\n",
       "      <td>1.344828</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>1.054264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.169381</td>\n",
       "      <td>1.054054</td>\n",
       "      <td>0.951220</td>\n",
       "      <td>1.083333</td>\n",
       "      <td>0.790210</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>6.681818</td>\n",
       "      <td>1.16</td>\n",
       "      <td>1.529412</td>\n",
       "      <td>1.495575</td>\n",
       "      <td>1.327586</td>\n",
       "      <td>1.163636</td>\n",
       "      <td>0.906977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.153094</td>\n",
       "      <td>1.135135</td>\n",
       "      <td>0.932927</td>\n",
       "      <td>1.092593</td>\n",
       "      <td>0.790210</td>\n",
       "      <td>1.291667</td>\n",
       "      <td>1.303030</td>\n",
       "      <td>6.98</td>\n",
       "      <td>1.632353</td>\n",
       "      <td>1.362832</td>\n",
       "      <td>1.258621</td>\n",
       "      <td>1.090909</td>\n",
       "      <td>0.914729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.141694</td>\n",
       "      <td>0.729730</td>\n",
       "      <td>0.768293</td>\n",
       "      <td>0.833333</td>\n",
       "      <td>0.860140</td>\n",
       "      <td>1.395833</td>\n",
       "      <td>1.742424</td>\n",
       "      <td>1.38</td>\n",
       "      <td>5.558824</td>\n",
       "      <td>1.318584</td>\n",
       "      <td>1.275862</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>1.015504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.162866</td>\n",
       "      <td>1.027027</td>\n",
       "      <td>1.060976</td>\n",
       "      <td>1.407407</td>\n",
       "      <td>0.937063</td>\n",
       "      <td>1.729167</td>\n",
       "      <td>1.757576</td>\n",
       "      <td>1.24</td>\n",
       "      <td>1.852941</td>\n",
       "      <td>5.256637</td>\n",
       "      <td>2.206897</td>\n",
       "      <td>1.700000</td>\n",
       "      <td>1.426357</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "CohortGroup    2010-12   2011-01   2011-02   2011-03   2011-04   2011-05  \\\n",
       "CohortPeriod                                                               \n",
       "1             1.000000  1.000000  1.000000  1.000000  1.000000  1.000000   \n",
       "2             0.184039  6.351351  0.774390  0.925926  0.524476  1.104167   \n",
       "3             0.135179  1.135135  2.439024  0.796296  0.580420  1.312500   \n",
       "4             0.177524  1.135135  1.000000  4.351852  0.762238  1.229167   \n",
       "5             0.130293  0.891892  0.737805  0.842593  3.055944  1.208333   \n",
       "6             0.187296  0.918919  1.030488  1.342593  1.132867  7.979167   \n",
       "7             0.169381  1.054054  0.951220  1.083333  0.790210  1.750000   \n",
       "8             0.153094  1.135135  0.932927  1.092593  0.790210  1.291667   \n",
       "9             0.141694  0.729730  0.768293  0.833333  0.860140  1.395833   \n",
       "10            0.162866  1.027027  1.060976  1.407407  0.937063  1.729167   \n",
       "\n",
       "CohortGroup    2011-06  2011-07   2011-08   2011-09   2011-10   2011-11  \\\n",
       "CohortPeriod                                                              \n",
       "1             1.000000     1.00  1.000000  1.000000  1.000000  1.000000   \n",
       "2             1.090909     1.02  0.867647  1.000000  1.034483  0.654545   \n",
       "3             0.984848     0.88  0.750000  0.893805  0.672414  0.618182   \n",
       "4             1.348485     1.28  1.220588  1.247788  1.327586  0.972727   \n",
       "5             1.409091     1.04  1.088235  1.159292  0.965517  0.700000   \n",
       "6             1.787879     1.44  2.044118  1.566372  1.344828  1.100000   \n",
       "7             6.681818     1.16  1.529412  1.495575  1.327586  1.163636   \n",
       "8             1.303030     6.98  1.632353  1.362832  1.258621  1.090909   \n",
       "9             1.742424     1.38  5.558824  1.318584  1.275862  0.981818   \n",
       "10            1.757576     1.24  1.852941  5.256637  2.206897  1.700000   \n",
       "\n",
       "CohortGroup    2011-12  \n",
       "CohortPeriod            \n",
       "1             1.000000  \n",
       "2             0.821705  \n",
       "3             0.596899  \n",
       "4             0.813953  \n",
       "5             0.627907  \n",
       "6             1.054264  \n",
       "7             0.906977  \n",
       "8             0.914729  \n",
       "9             1.015504  \n",
       "10            1.426357  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_retention =cohorts['TotalOrders'].unstack(0).divide(cohort_order_size, axis=1)\n",
    "order_retention.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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A1+34E1efrFWzKp06tqJK1cbk/7gcLi7OdOvaDlCffBWdI+OHl1d2Ro8eQI0an1OkSFXGjp3KqlWzKV26KPXrV6doUW8KFqxIsmRudOzYEoBBg3pQtWpjunUbaP6hsmDBfCRPnrj75POWLVtLocKVKFS4EkWLeRMWdouu3QbSoH4NJk2ezadFqtLPvysAbm5J6fRFK8aM/crGpRb5b7Rm3Auat2nA2q83cfNGqDmtUrVyrFiyjujoaO7fe8A367dRq341wkLCye7lyebAbQDs23WQEeP7kydfLiKeReDs4gyAs4szkZGRlKtUirCQcC5d+MEmdbMlX9+WLFmymuvXfzOnOTg4kDSpK05OBuzt7TEYDDx99gyAqMgonJwMuCZ1JTIiEhcXZ3r06EBV78a2qkKC8IVvSxYvWRWrHQHKlClO5UplmTN3KalSpjCnP3sWgaurC65JXYmIiABg7NiBtG7T3arlTmjUH+NPXH2yR8/BODg4AJA+vQdOTgbu3b8PQGRUTFsmdXUlIjKmLXv28KVK1UY2KX9CEVef/OSTvHTrPgij0YjRaGTr1l3UqV2NoKBd6pOvEVdb/iVJkiQsmD+J3r2HcuNGCKDv96vE1Y5FixYiOjqa7dtW8957qQgM3MKYsV9hNBrN15ukSV2IiIgEYOyYgbRpm7ivN7pux5+4+mSzZnWZNHkOf/xxF4BOnf3NI+PUJ+Omc2T8iIiI4Isv+hIaGg7AyZNn8fBIi8FgwNnZCRcXZ6KjjTg7O/H0acz95N990pXIyJjv95gxA2jbtqfN6pGQ9e3TifBbt5k7bxmjRvrj6uKCs7MTRqMJgMEDezJx8myePHlq45LKKxm1ZtzrWCQYFxISwogRIwgNDaVChQp06NDB/IdZhw4dmD17tiWyjRdD/QMAKF76U3Na+owehPwWZn4fcjOcXB96kT5jOsJDb2Eymcyfhd4MI10GD3Zv2493zYp8s2clO4P38tv1ECZMH0Grhp2tV5kEpHv3mCl/ZcuWMKctWbKaunV9uPrLdzg6OrJz5362bNkJwMCBY9m5Yw1h4bdp27YH/n5dmDVrMQ8fPrJJ+ROKbn+2Y7myfw9lT5/eg0kTh+FdrSnt2jWLtb1/v5EsXzaDJ0+e0rGTH61bNWb3noP8+uvLN2CJifpj/ImrTwJER0ezeNFX1KlTjQ0bg7l8+ScABg4cw66dawkLu0Wbtj3w9+/KzFmLEn1bxtUnjx07TdMmdTl06DhOTgZq1/ImMirmD0r1yVeLqy3/0qpVI26GhLFxU7A5TW0Zt7ja0dHRkZ27DuDvPxIXF2c2bljM/QcPmDp1Pv36j2LZ0pjrTafOfrRq1Zg9e75N9NcbXbfjT1x90ssrO+5pT7N58zIypPfg24NH6ddvFID65CvoHBk/rl27wbVrN8zvx40bxDff7GTnzv3s2vUtV64cISIikh9++Il585YDMGDAGJYsmcbTp0/p1KkfrVo1Yo++33F6771U9OjensJFqgAwddoCFs6fzBdftMSv3why5cpJnjwf0Nd/hI1LKvLfWWSaav/+/SlfvjzDhw/n7Nmz+Pr6EhUVBUBYWNgb9k547O1fbqboaGOc6QDG6GhMJhP9ug/Hp2wjJgfMol3nFqz5eiOp30vFzMVfMnPxl3yY9wNLFz1BGzSwJ7dv/U6mzAXIlr0wqVKlpHv39gCs3xBEkaJVqVGjOW5uSSlStCArVq5nwoShrFs7n27d2tm49AmDo6Mjy5fNoGevoeZf5p538OAxipfwoXyFeoSF3aZ16yZ8+eVM/Py6EBi4kFGj+tmg1AmT+mP8a9GyK+nS5yV1qpQMHNgDgPXrg/i0SBWq/9mWRYsUZMWK9Xw5YRjr1i2ge7f2Ni51wtHXbzgmk4njx4JZs2Yeu3btJ/LP0R3qk/9Nt67tGDMm9nQWteU/t2DB1/TsOZiIiAju3bvPlClzqVmjKhBzvSlR0ocKFf+83rRqzJcTZ+HXtzOB6xYwaqSuN6DrdnxzTJKE8uVL06SJL0WLeZM6VUqGD/cD1Cf/C50j/z1XVxeWL59J9uyefPFFX1q0aICnZ2Y8PQvh6VmIa9euExAQEwA9ePAYpUrVoGLFBoSH36Zly0ZMnDibvn07sXbtfEaM8LdxbRKOdm2bsWnzdq5evQ5AaGg4Vas1oUjRqmzatI3xAYPp3XcY3lXLs2nDEhYumEKqVCltXGqRf8ciwbi7d+9St25dPvroI2bOnEmyZMno06ePJbKyips3QnH3SGN+ny59WkJDwrh5I4S07mlibeuR3p2Qm7FvrjJkTEepssVYtXQ93f18WTBzGUP9xjJkdOJebLJWrSosWryKyMhI7t9/wNJlayhTpvhL240fNxh/vxGUK1eSZG5u1K3XhkqVPiNHDk/rFzqBKVQwP56eWZgwfgjfHd9O+3bNqV+/BrNnjX9p22FD+zA24CuyZMlIubIlqVOnFe+lTkXZslowFtQf41PFimVIn94DgEePHrNq1UYKFMj70nbjxw/Bz394TFsmS0rduq3Vls9JntyNfv1HUeCTCnh7N8FoNPHjT1df2k598p/5OH8eHBwd2L//8Cu3UVu+XtMmdcn7UW7zezs7O/NozecNHdqHgHFTyZIlA2XLlaRO3dakTp0qzpE4iY2u2/Er5GbMKK4HDx4SGRnJ1ysCzWuUPk998s10jvz3MmfOwN6964mOjqZy5Ybcu3efmjWrsnLleh4+fERERATz538d5/3kkCG9GDduOpkzZ6Bs2ZLUq9eG995Tn/xL/fo1WLx4VZyf1alTjcuXf+LixSuMHz+Eho3bs33HXron8sBwQmQyGd+ql7VZJBjn4ODAlStXgJgbtYCAAO7cucPgwYOJjo62RJYWtWPrXuo3rYmDgwPJkrvhU7sy24P2EhoSzrWr1/GpXRmAUmWLYTQaufz9lVj79xvWg7FDJ2MymTAYDERGRmE0mXB2dbZFdRKMU6fOU6+eDxDzS3F1n0ocO3oy1jbe3uW5GRLG6TMXcHIymG/6TSYTLs6Ju/0Ajhw9QfYchc0Lnc6Zu5Q1azbRwTd28Dtfvg/JkjUT33yzI6YdI2Pa0Wg04erqYouiJzjqj/Gnfr3qDBoYs/6JwWCgXj0f9u45GGsbb+8KhNwM4/TpCzg5OREZGTN62mQy4eKitgRo3645Q4b0BsDdPQ2t2zRh5coNsbZRn/znSpUuyt49h175udryzfLk+YAhQ3phb2+Ps7MzX3zRkjVrNsfaJl/e3GTNkjHmemP4+7ttNBl1vUHX7fgWuH4LdetUw/nP72iN6lX47sSZWNuoT/4zOkf+O6lSpWDHjtVs3BjM5593Nq8Ld/r0OWrWrGpeoqlmzaocOxb7fjJv3txkyZKJLVte/H4bcXFRn0yZMgU5c3hy6PB3L33m4uJM756+DBvxJQBJHB2Jjo5ZW9dVbSdvGYsE4/r160eHDh3YvDnmBi1JkiTMnDmT27dv8+OPb99Td5YvXMOvv9xgy75VbNy5nNXLN3Ds0AkAurXrR5OW9dh6YA29B3Smc5u+sdaQK1G6CE8eP+H0iXMAzJuxlNETB7J49XQmjZlpk/okFL37DCVF8uScO7uX745v48ZvIYyfMMP8ucFgoH+/7gwePA6AHTv2kyVLJr47vp1r125w/sIlWxX9rTMuYDB9+w4H4Pz5S9y69TsnT+zA3SMN27btsXHpEgb1x/jTp+9wkqdIxqlTuzh6JIiTp87x1dR55s8NBgMD+ndj0OCYNTp37NhHliwZOfHdjpi2PK+2BAgYN41MGdNx6uROtm9bxcgREznx3B+Z6pP/Ts6c2bh27Xqcn6kt/5kRIydy585dTp3cyYkTOzhy5DsWLPg61jYB4wbT1+/P682FS9wKv82J73bg4Z6Gbdv22qDUbyddt/+ZWbMWs3v3txw9EsT5c/twc3Nl0KCxsbZRn/xndI78d9q3b07mzBmpUaMyR49uNb/mzVvOjRs3OX16F999t53UqVPg5zcy1r4BAYPw84tZ6+zChcvcuvU7x49vw909Ddu377VBbRKWnDk8CQkJMy9z9bx+/l2ZOXsJDx48BGDipNl8d3wbXTu3ZfrMhdYuqsj/xc70fOQonkVERJifaPSXixcvkjt37lfsEbfsaQrEZ7ESrRsPbtm6CO8EC35lEhU7OztbF+GdoT4ZP9QnRd5dOk/GD50nJaGxt7PI2JJEJ8r49s1eS6iiIvRAjr88u/Lq0bYJkZPXy1PKLcmiZ68XA3HAvw7EiYiIiIiIiIiIvCscLXHQDRs2vPbzWrVqWSJbERERERERERGRBM0iwbgjR46wbds2qlSpEufnCsaJiIiIiIiIiEhiZJFg3NixY7l79y4FCxakXr16lshCREREREREREQSIpPR1iVI0Cy2Ztzw4cO5d++epQ4vIiIiIiIiIiLy1rFYMM7d3Z02bdpY6vAiIiIiIiIiIiJvHas9C7pDhw7WykpERERERERERGzFGP12vazMasG48PBwa2UlIiIiIiIiIiKSIFktGGcymayVlYiIiIiIiIiISIJktWDc3LlzrZWViIiIiIiIiIhIguRoiYM+efKE6dOnExwcTFhYGPb29ri7u1O6dGm6d+9OsmTJLJGtiIiIiIiIiIjYmslo6xIkaBYZGde7d29cXV1ZtmwZp0+f5uTJkyxdupS0adPSs2dPS2QpIiIiIiIiIiKS4FkkGPfLL7/QsWNH0qVLh4ODAw4ODqRLlw5fX19CQkIskaWIiIiIiIiIiEiCZ5FgXOrUqdm6dStG49/DEk0mE1u2bCFVqlSWyFJERERERERERBICo/HtelmZRdaMGz9+PMOGDWPgwIHm9eEePnxIoUKFCAgIsESWIiIiIiIiIiIiCZ5FgnHp06dn1qxZREVF8ccff2AymUidOjWOjhbJTkRERERERERE5K1g0eiYo6MjadOmtWQWIiIiIiIiIiKSkOhpqq9lkWDchg0bXvt5rVq1LJGtiIiIiIiIiIhIgmaRYNyRI0fYtm0bVapUifNzBeNERERERERERCQxskgwbuzYsdy9e5eCBQtSr149S2QhIiIiIiIiIiLy1rG31IGHDx/OvXv3LHV4ERERERERERFJiIzGt+tlZRYLxrm7u9OmTRtLHV5EREREREREROStY7GnqR44cIDg4GBCQ0Oxt7fH3d2d0qVLU7lyZUtlKSIiIiIiIiIikqBZJBg3ZcoUzp49S40aNXB3dwcgPDyctWvXcvr0afz8/CyRrYiIiIiIiIiI2JjJFG3rIiRoFgnGBQUFsXXrVuztY8+C9fHxwcfHR8E4ERERERERERFJlCyyZpyTkxOhoaEvpd+8eRODwWCJLEVERERERERERBI8i4yM8/f3p2nTpnh6epI2bVoAbt26xdWrVxkzZowlshQREREREREREUnwLBKMK168OL179+aXX37BwcGBzJkz4+HhQf78+Vm/fj1Fixa1RLYiIiIiIiIiImJrJqOtS5CgWSQYN2HCBC5cuED27NkJCgrC39+fwoULA7By5UoaNmxoiWzlDX7++H1bF+GdUO7n+7YugkgsT6Of2boI7wQ7OztbF+Gd4WhnsYe1JyoOdhZZTSRRuh/5yNZFeCe4OjrbugjvhAhjpK2L8M5wd0pp6yK8E87fuWrrIogkOha5W963bx/r16/H0dGR5s2b07p1awwGA1WrVsVkMlkiSxERERERERERkQTPIj+5mkwm8wgDT09PZs+ezahRozh69KhGHoiIiIiIiIiIvMuMxrfr9S88fPgQHx8fbty4AcChQ4eoXr06lSpVYtKkSf/oGBYJxlWpUoXmzZtz9uxZALy8vJgyZQrdu3fn119/tUSWIiIiIiIiIiIiFnPmzBkaN27M1atXAXj69Cn9+/dnxowZBAUFcf78efbt2/fG41gkGNe5c2e6dOlC0qRJzWkFCxYkMDCQOnXqWCJLERERERERERERi1m9ejVDhgzB3d0dgLNnz5I1a1YyZ86Mo6Mj1atXJzg4+I3HsdgKy8WKFXspLX369AwYMMBSWYqIiIiIiIiIiK29ZU9TvX//Pvfvv/ywxuTJk5M8eXLz+1GjRsX6PDw8nLRp05rfu7u7ExYW9sb89LgzEREREREg8RPPAAAgAElEQVQRERFJtBYvXsy0adNeSv9r5uerxPWQ0n/yrAQF40REREREREREJNFq0aIFtWvXfin9+VFxcfHw8OD27dvm9+Hh4eYprK+jYJyIiIiIiIiIiCRaL05H/afy58/PL7/8wrVr18iUKRPffPMNdevWfeN+CsaJiIiIiIiIiEj8MUbbugRW4eTkxNixY+nSpQvPnj2jTJkyVKlS5Y37KRgnIiIiIiIiIiLyD+3evdv872LFirFp06Z/tb99fBdIRERERERERERE4qaRcSIiIiIiIiIiEn9MRluXIEHTyDgRERERERERERErUTBORERERERERETEShSMExERERERERERsRKtGSciIiIiIiIiIvHHqDXjXkcj40RERERERERERKxEwTgREREREREREREr0TRVERERERERERGJPyZNU30djYwTERERERERERGxEgXjRERERERERERErETTVEVEREREREREJP7oaaqvpZFxIiIiIiIiIiIiVqJgnIiIiIiIiIiIiJUoGCciIiIiIiIiImIlWjNORERERERERETij9aMey2NjBMREREREREREbESBeNERERERERERESsRNNURUREREREREQk3phM0bYuQoKmkXGvMG7qMNp2ag6Avb09g0b1YcfhQHYf20iTlvXM23lmz8KqzfPZdnAd67cvJXtOTwCSJHFk3tdT2LJ3FSO/HGDePotnJpasnWnVutiCY45spJ0xEfcls3FfNJMkubzA0ZGU/j3wWLkAj5ULSNHVF+ztzdtn2LMF96VzzC/HLJkBSN6hFR7L55Fm+pfYuSWNycDBgbRzvsI+ZQpbVdHqxk4dQuuOzWKlpcvgwYGzQaRK/XI7ZMqSgWM/7OKj/LnNaWO+GsymPV8zY/EEHB0dAEieIhmrghaQxJDEshVIINSO8atytXJsO7COrfvWsHLjfLJ6ZiJFyuRMnz+ePUc3sWXPKlq2a2LevmmL+uw6vIH125aROUtGc/qiVTPI+X42W1QhQWjZrjG7j24iaO9qvpoTQIqUyXFydmL8V8PYdmAdOw4GMv6rYTg5OwFQvnIZdhwMZMvuVeT9+EPzccZOGkKJMkVsVQ2bGjd16AvX7d5sP7yO3cc20rhlXfN25SqX5sSVPWzes8L8SurmCkDAV0P5Zu9KZi35EkfHmN8rk6dIxpqtizAkou+2zpPxp36jmuw8EGh+HTuzg+u3zpIpcwbmLZ7M3kOb2H9kM527tTXv07xlA/Yf2cw321eQJevf58nlq2fj9X52W1TD5v7pfXnRkoXYuHM5W/auYl3wYvIVyAPovvxFVaqVZ8eBQLbtW8vqjQvI6hlzz/1564Zs3bOaPUc28dWssebzXoXKZdh1aANb96wm38d5zMcZN3koJcsUtUkdbGno5P409238UvqE+aPwG9XD/N7rw5ws2DiD1XuWsHDTTAqX+OTvY0zqx8qdi/hy4WjzOTJZimQs2jwrUZ0jnzdv7kR69OgAQKpUKVm+bAbnz+3j6JGtdOzYyrxd27ZNOXN6N/v3bcTzz74LsHHjEnLlymn1cov8VwrGvSCHVzaWrZ9NtZoVzWlNWtQlW/YsVClZn1oVm9GqQxPzxX3SrFEsX7SGyiXqMjlgFjMWTQCgdPkShN4Mp9pnDcmYKT3v58oBQP/hPRk9ZJL1K2ZFdk5OpP1qHA+WrSL88w7cX7CU1MMG4Fa/Fg4pUxLWuA1hTdtiyJcHlwqfAeCULw+Pt+8ivHl78yvq1+vYJU2KS9lShDVty7Oj3+FaJeb/xa1RXR5v343x7j0b1tQ6cnh5sjhwJlVrVIyVXqtBNb7ePBeP9O4v7WNwMjB+5ohYF/MPPsxJWo801CjbhFvhv1OybDEAuvf7gpmTFhAZEWnZitiY2jH+OTk7MWXWGNp/3p2qZeqzI3gvQ8f2Y8iovjx69JjyxWpRq1JTPqtQkvKVSgPwRffWVC1TnwWzl/F520YAeNeoyJXLP/HjD7/Ysjo2U6xkYXy7tqZJ7XZ4f9aAPTsPMHbSELr0bIeDoyNVStejcql6ODk706l7GwB6+nWkSe12DOw7io7dYtLyFchDsuRuHNx31JbVsbq/rtvez123G7eoi2f2LFQt2eCl6/YnhfMxb/pSqpdtbH49eviYDz70wt0jDT6fNeJW+O+UKhfz3e7RryMzJs0nIhF8t3WejH9rVm6kQqk6VChVhyplGxAedpv+fUbi27klN2+G8VnxGlQp14AWbRpRsPDHAHTp0Y4Kpeswd9ZSWrWN+THDp0Ylfrj8I1d++NmW1bG6f3NfniSJI1/NDaBfj+FU+6wh0yfOY+LMkUDivi9/kbOzE1/NGkO7z7tRuUw9tgfvYfjYflT1qUCr9k1pXLst5YrVxNnFiXZffA5AL/9ONKrVhgF9RpqvQ/kLfESy5G58u++ILatjVdm8sjJ7zRQq1ij30mctOjahQJF8sdImLRrDhq+/oUHZz+ndZgD9xvbmvbSp8cqdgzQeaWhUoSW/h9+h2GcxP6J17NuW+VOWJKpzJECuXDnZFryKevWqm9MmjB/Cw4ePyZe/LCVL1aBy5bJ4e5cHoE+fThT+tArTps3H17cFAHVqV+PixR+4dOlHm9RB5L/QNNUXNG/TgLVfb+LmjVBzWqVq5VixZB3R0dHcv/eAb9Zvo1b9aoSFhJPdy5PNgdsA2LfrICPG9ydPvlxEPIvA2cUZAGcXZyIjIylXqRRhIeFcuvCDTepmLU5FChH1202eHor5g/Dp/kNE3wwl8sefebh6PZhM2KdIib2bG8Z79wEw5M2DY8b0uC+YAcD9JSt4uvcAREWBnT04OGDn4gz372P/XmpcypTglm+PV5bhXdK0TQMCV2wm5Le/+6S7RxoqVC1Du8bd2HpwzUv7DAnwY/2Kzfj2aG1Oi3gWiZNTzKgaV1cXIiMjyZXHi3QZPNi741vLV8TG1I7xz8HBHjs7O5InTwZA0qSuPHv2jLwff8igvqMxGo0YjUZ2b9+Pd41K7Nq+n6jIKAxOhpi2i4jE2cWZ9p1b0LROexvXxnby5v+Qb/cdIfRmGADB3+wiYPJQvl68lhvXb2IymTCZTFw4d8n8B2RERMw15q92BOg/tCe9Og20WT1spZn5uh1iTqtUrSwrlwQ+d93eTq363pw9dYFPPs1PVGQUVaqX58njp3w5ejrHD58kIiICg7MBAJc/2zVXHi/SZ/Rgz/YDtqqeVek8aVmdu7fl9u3fWbpoNQAODjGjYdw90mIwGHhw/wEAkX+dJ5O6EBERiYuLM190aU2D2q1feex31b+5Lz976gLF81YmKioKgMxZM/HHnZgfbRPzffmL7P+8did74dpdt2F15kxfzN27Mffm/j2Hm0fGRURE4OLiYj43Agwc1ovuHfvbphI20qBlHTatCiLkt7BY6YWKF6B42SKsXbKR5Cli2jVl6hR4ZHDnmzXBAPx+6w5XLv5E8bJFOHviPAanv643Mf3R68OceGRw58DOQ9atVALg69uSJUtWc/36b+a0Tz7JS7fug8z3klu37qJO7WoEBe0iKjIKJycDrkldifzzHNmjRweqer88WlEkIVMw7gVD/QMAKF76U3Na+owesU66ITfDyfWhF+kzpiM89BYmk8n8WejNMNJl8GD3tv1416zIN3tWsjN4L79dD2HC9BG0atjZepWxEccsmYj+/Q6pBvQmiVcOjA8ecm/anJgPo6NJ3rEdbvVrEXnxMhGnzwFgevKUx9t28yhwE46eWUg7cyK3Q0OJvHSFh2vW475oJlHXf+PBoq9J2a8n92bMTzSPSh7uPw6AYqULm9PCw27TuVXfOLev36wmSRwdWb1sQ6w/jn756Ronjp5m457lnDlxgUP7jrFg9TSG9B1j2QokEGrH+Pf40RP69xpBYPBS7t65i72DA3WqNqdTj7bUaVid746exuCUhKrVK5j/OAoYMYVVmxZw+9YdenUaSOce7VgybyWPHj62cW1s5/TJ87Rs34SMmdLz240QGjSpiZOTgcsXrxAedhuAjJnS08a3Kf49hgMweugkps0bx9Mnz+jfaziNmtXh0P6j/PZcQCqxGGa+bv/93X7xuh16M4xcH3oBcPfOPTas3sL2oD0ULPIxs5dOxKdMI3758Ronjpxm854VnDl5noP7jrJozXQG90k8322dJy0ndeqU+HZuSaUyf0+Zjo6OZtrsAHxqVmbrNzv58UrM6ODRwycS+M0SboffpmvH/nTt2YGF875OlOfJf3NfDhAVFUWatKnZtHsFqVKnpGtbPwC+3Xsk0d6Xv+jxoyf49xrBhuBl/HHnLg4ODtSu2owFX0/j9MnzLFszC4907hw9fIJRQycCMGrIRGbMG8/Tp0/x6zmcxs3r8u3+I4numhMwIGYUZeGSBc1paTzeo8+IbnRq3Iu6zWua0+/eucfNX0Oo3qAqG1duIWOWDBQoko9L5y5z7afrnD52lhU7FnL+1Pcc3f8d01dMZIz/BKvXKSHo3j3mh8SyZUuY044dO03TJnU5dOg4Tk4GatfyJjLqz0DwwLHs3LGGsPDbtG3bA3+/LsyatZiHDx/ZpPzyGonk7/X/yiLBuGnTpr32886d364Ln739y7N5o6ONcaYDGKOjMZlM9Os+3JzWqWdb1ny9kdTvpSLgq6EATJ0wh+/PXbZImW3JztER5+JFuN2xJxEXLuFcujhpJo0hpGZjiIzk/oy53J+9gFT9e5HSrzt/DA/g7vgp5v2jrv7Kk537cClVnMhLV3i0diOP1m4EwJD/I+zs7Ii8eJlUA/tgnyIFj3fu4cm2XbaqboLyYb4PaNSiLk1rtIvz88ljZjJ5TMzaKDXqVeXc6Qs8fPCISXNG4+zizNJ5qziUyKa4xUXt+M98kNuLbn18qVCsJteu3qBV+ybMXjyJhtVb0394T7buW0142G2+3XuYgp/GTL/aunknWzfvBCCrZyYKFs7HxLHTGTK6L5mzZOLIoe+YN2OJLatldccOn2DKuFnMWTIZo8nI6uUb+OPOXfO0yI/y52bOksksnreS3dv3A3D8yElqVmwKxKzD1bB5HRrVaE2nHm0pUDAfV374iYDhU16Z57su7ut2zCLCHVv2NqedOHqak8fPUuKzoqxbsYmJY2YwcUzMCO2a9b05e+p7Hj54yJS5Y3B2cWbJ3JWJbhrwq+g8+e80a9mAbUG7+fXab7HSO3fwo2/PYcxfMoVefh0ZP2YaWzbtYMumHQBk9cxMoU/zM37MVIaP6UeWrBk5fPA4s6cvtkU1EoRX3Zf/5fatOxTPW5k8+XKxLHA2dSo355effk209+UvypXbix59fClXrCbXrl6ndfumzFk8mSSOjpT+rBitm3Xh2dNnTJoxGr+BXRnaP4BjR07iUzFm1FGKFMlp3LwO9au3onOPdnxSKB9XLv/EmOGTbVwz63N0dGDsrGFMGPwVt8N/f+nz7i396TG4E03aN+DK9z/y7c7DREbE/Dg5I2AuMwLmAuBdtxLfn7nIwwePGDNzKM4uzqxcsJaj+7+zan0Skr5+wwkYO4jjx4IJCQ1n1679FCtWCID1G4JYvyEIgOzZs1KkaEGGDf+SCROGks0zM/sPHGHKlLm2LL7IP2KRNeOio6OZP38+xnckEnrzRijuHmnM79OlT0toSBg3b4SQ1j1NrG090rsTcjM8VlqGjOkoVbYYq5aup7ufLwtmLmOo31iGjI77l+a3XfTt34m6ep2IC5eAmGmq2NtjyP0+jpkz/blRNI+3bMPwgRfY25OsZVPsXF3+PoidHaaoF56+Ym9Pik7tuDt1Nq5VKxB1M4Tf+w4i+eeN4c+h3oldrQbVcEuWlFVBC9i4Zznu6dIyYdZIylUuHWu7pEldad62ITMnLaBlh8bs3fEt3dv1Y8DInjYqecKidvxnypQvzndHT3Ht6g0AFs9byQe5c5LUzZXRQyZSsUQdmtZpj9Fo4uov11/af9DIvowc/CUlyhQhqVtS2jbrymflS5A1W+aXtn2XJXVz5cih76hWriHVyzdm6+aYP8Lv/nGP6rWrsHzdHAKGT2H6pHlx7t+7f2emT5pHhkzpKVG6CG2bdSVVqpSUKJ04H+QAL1+3PdK7ExoSTrLkbnzRPfZUPzs7O/PIzb8kdXPl87YNmTFpHi07NGXP9m/p2tafgaN6IzF0nvx3atapysrl683vPytXAo90aQF4/OgxG9ZtIW/+D1/ab9hoP4YNGk+pMkVxc0tKyyadKVu+FJ7Zslit7AnNq+7LkyVzo5J3WXP6hbOXuHjhBz7I7RVr/8R2X/6iMuVLcPzoKa5djbkuL5q3gg9y5yQiMpLgLbt4+OARkZFRBK7+hoKF87+0f5/+nZk6cS4ZMqWnZOkitG7ahVSpE+c158P8uciQOT09h3ZhxY6F1P28JpVqlmPQhJgRmfZ2dvRo4U/Dci0Y2HkEadOl4fqf90x/cU3qQsPW9Zg3eQlN2zfg212H8fcdTO/h3WxRpQQjeXI3+vUfRYFPKuDt3QSj0cSPP119abvx4wbj7zeCcuVKkszNjbr12lCp0mfkyOFp9TKL/FsWCcZ169YNb29vXFxc6Ny580uvt82OrXup37QmDg4OJEvuhk/tymwP2ktoSDjXrl7Hp3ZlAEqVLYbRaOTy91di7d9vWA/GDp2MyWTCYDAQGRmF0WTC2dXZFtWxuKeHjuKY3iPmCaqA4eN8YDLhVKgAKXp0BAd7sLPDpXIFnp44BUYjLqWKk7SWDwAO6TxwKVuKJ3v2xzpu0jo1eHrgMMbbv0MSA0RFg8kUs56co2ZcA4weOJHKRetSs2xTapZtSnjoLXr7DmT3ttht2blPOxbOWs6Tx08xGAxERUZhNBrN66kkdmrHf+b8mYsUKVGINGnfA2KerHr92m80a9WAXv1izvVp0r5H48/rsmHtllj7lq9UmrDQcC6cu4TTn20HYDKZcHZOHO33F4907qzatAC3ZDFPi+7auwObArfiXb0iQ8f406xeBzauC4pz39x53idjpgzsDN5rvr4AiaofxmXn1r3Ue+G6vSNoD48ePqZZmwZU9olZfPvDvB+Qv0Ae9u+KvUZP1z7tWTDzz++2UxKioiIxGY24JOI2fZHOk/9cihTJyZYtC8ePnjKn1ahdlV5+nQAwGJJQo1ZVvt0fe6RgxcqfERZyi/NnL2JwMhAZGTNa1mQy4eziZL0KJDCvui+PNkYT8NVQCn4aE0Dy+iA7OXJ6cvrEuVj7J7b78hedO/M9RZ+7dlf589q9bOFqqtWshPOfT+2uUq0cZ06ej7Vv7jwfkDFzBnYE7425dkf9fc1JjOfHsycu4F2oLo0rtqJxxVasW7KR7Rt3M6J3zPTqgeP78lmVUgDkK/QROT7I9tJot/a9WrN89kqePnlKkr/6ozFxf8cB2rdrzpAhMT+AubunoXWbJqxcuSHWNt7e5bkZEsbpMxdwcjKYp7GaTCZcEtm9ZIJlMr5dLyuzWASjX79+7Ny501KHt6rlC9eQ1TMTW/atwmBIwteL13Ls0AkAurXrx+hJg+jUsy0RzyLo3KZvrDXkSpQuwpPHT8w3AvNmLGX0xJh58eNGTLV+ZazAeOcPbvcdTKo+3bFzccYUGcnv/kOIuHCJlD064bFsHhiNPDtznvvTY0Z6/D5kFKn8epC0WmVwsOfupOlEXf3VfEz7FMlxrVqBWx26A/Bk+y7eGz8C1yoVeLx9F6ZHiW8dlf8qh5cn73+Yk4ChMVPYVi4O5MvZI/miZxtmTlpg49K9PdSOcOjAMWZPXcSqzTFPR7z7xz3aNuvKbzdCmDxzDDsOBmJnZ8ekgJmcPXXBvJ/BkISufTrwef0vANi/5xDN2zQieP9aTn13lssXr7wqy3fSzz9eZeaU+Wzcvhw7e3u+O3KSQX5j2LZ/LXZ2EDB5qHnbE8dOM6jvaPP7gSN6M7DPKAAuX7zC77fvELx/Lb9eu8G+XQetXZUEY/nCtWTxzMw3+1ZiMCRhxeJ1HDt0EgDf5j0YPMaP7n6+REVF07WdP3/cuWveN4dXNt7P7cWYITFTrlYsXsfk2aPp1LMt0yfGPTpR4qbzZIxs2bMQFnYr1gjMoQMDGDdxKHsPbcJkMrE1aBdzZ/49Rd9gSEKPPr40qdcBgH27D9KqTWN2fbueE8fPcOn7xHWefN7r7ss7fN6TQaP64OjoSEREBN19+xMa8veMlcR4X/6iQweOMWvqQtZsXmi+drdu1oUff/iFlKlSELRnNQ729pw7e5Hhg8bH2nfwiN707xPzhNpLF69w+9YddhwI5NrV6+xNxNecVxnZZxyDv/Snfa9WPHn0hF6t+/P0yVPz59m8suKVOzuTh08HYN3SjYyeMYS23Vswb3LinYoOEDBuGosWTuHUyZ3Y2dkxcsRETpw4Y/7cYDDQv193qtdoDsCOHfvp0KEF3x3fztFjJzn/5wwtkYTMzvR85CiByp6mgK2L8E7YnyOVrYvwTij3831bF0EklqfRz2xdhHeCnZ2drYvwznC002jl+OBgZ5EJDInS/Ugt7B0fXB012iQ+RBgjbV2Ed4a7U0pbF+GdcP7OVVsX4Z0R8ezGmzdKJJ7sebt+xHQp29aq+VnkbtloNLJ69WqCg4MJDQ3F3t4ed3d3SpcuTfPmzUmSJIklshUREREREREREVt7R54hYCkWCcYNGTIEo9FI586dcXd3ByA8PJyNGzfSr18/JkxInI9tFhERERERERGRxM0iwbjjx48THBwcKy1LliwUKlSIatWqWSJLERERERERERGRBM8ii5G4ublx9uzZl9JPnTqFq6urJbIUERERERERERFJ8CwyMm7EiBH07duXZ8+ekTZtWgBu3bqFk5OTpqiKiIiIiIiIiLzLTFoz7nUsEozLnTs3mzdv5ubNm4SHh2MymfDw8CBDhgyWyE5EREREREREROStYJFpqn/JkCEDH3/8MQUKFGDYsGGWzEpERERERERERCTBs8jIuLiEh4dbKysREREREREREbEVo6apvo5FR8Y9z2QyWSsrERERERERERGRBMlqwbg5c+ZYKysREREREREREZEEyWrBOHd3d2tlJSIiIiIiIiIikiBZZM24adOmvfbzzp07WyJbERERERERERGxNZPWjHsdi4yMi46OZv78+Ri1YJ+IiIiIiIiIiIiZRUbGdevWjfDwcFxcXGjXrp0lshAREREREREREXnrWCQYB9CvXz927txpqcOLiIiIiIiIiEhCpJmSr2WxBzi4ublRq1YtSx1eRERERERERETkrWO1p6mKiIiIiIiIiIgkdhaZprphw4bXfq4RcyIiIiIiIiIi7yhNU30tiwTjjhw5wrZt26hSpUqcnysYJyIiIiIiIiIiiZFFgnFjx47l7t27FCxYkHr16lkiCxERERERERERkbeOxdaMGz58OPfu3bPU4UVERERERERERN46FhkZB+Du7k6bNm0sdXgREREREREREUmITFoz7nUsFow7cOAAwcHBhIaGYm9vj7u7O6VLl6Zy5cqWylJERERERERERCRBs0gwbsqUKZw9e5YaNWrg7u4OQHh4OGvXruX06dP4+flZIlsREREREREREZEEzSLBuKCgILZu3Yq9fewl6Xx8fPDx8VEwTkRERERERETkXWXUNNXXscgDHJycnAgNDX0p/ebNmxgMBktkKSIiIiIiIiIikuBZZGScv78/TZs2xdPTk7Rp0wJw69Ytrl69ypgxYyyRpYiIiIiIiIiISIJnkWBc8eLF6d27N7/88gsODg5kzpwZDw8P8ufPz/r16ylatKglshUREREREREREUnQLBKMmzBhAhcuXCB79uwEBQXh7+9P4cKFAVi5ciUNGza0RLbyBoUvvzx1WP69kim8bF2Ed8KJR7/augjvjAhjlK2L8E5wdXS2dRHeGVEm9cn4EGWydQneHXbY2boI7wS1Y/xIYudg6yK8M6JM0bYuwjvBwV59UizApDXjXsciwbh9+/axfv16HB0dad68Oa1bt8ZgMFC1alVMJt1ZioiIiIiIiIhI4mSRYJzJZMLOLuaXM09PT2bPnk2rVq1InTq1OV1ERERERERERCSxscjTVKtUqULz5s05e/YsAF5eXkyZMoXu3bvz66+amiYiIiIiIiIi8s4yGt+ul5VZZGRc586dKViwIEmTJjWnFSxYkMDAQBYsWGCJLEVERERERERERBI8iwTjAIoVK/ZSWvr06RkwYMD/2LvP8KiKx+3jX1I2hVBESOgdBRWQpvQOoffee5HQCSXUJAQIPfTeewmdhID0KiCISrEgAqaBitIkIbvPi8WFENGf/4fdjeT+XFdeMHvmTGHOmbOzM3OslaSIiIiIiIiIiEiyZrXBOBERERERERERSYH0NtW/ZZU940RERERERERERCQpDcaJiIiIiIiIiIjYiAbjREREREREREREbER7xomIiIiIiIiIyOtj1J5xf0cz40RERERERERERGxEg3EiIiIiIiIiIiI2omWqIiIiIiIiIiLy+miZ6t/SzDgREREREREREREb0WCciIiIiIiIiIiIjWgwTkRERERERERExEa0Z5yIiIiIiIiIiLw+JpO9c5CsaWaciIiIiIiIiIiIjWgwTkRERERERERExEa0TFVERERERERERF4fo9HeOUjWNDNORERERERERETERjQYJyIiIiIiIiIiYiNapioiIiIiIiIiIq+Plqn+Lc2MExERERERERERsRENxomIiIiIiIiIiNiIBuNERERERERERERsRHvGiYiIiIiIiIjI62PSnnF/RzPjREREREREREREbESDca8webY/3fq0B8DBwYHRQb7sPxXKwc920KZTM8txufPmZOOupew7sZVtEavJmz83AM7OTixZF8KewxsZP22k5ficubOzast8m5bF3pq3asD+Y6GWvzNfRHDzzhds2bU8Ufi1H8+wYv0cANp3asGR07vYFbGOHH3qHcYAACAASURBVLmyWc61ZtMCCryT115FsYsKjSsxJWwmU/bOYHxoMHkL50/0ecfRXRm+bFSSeE7OTgRtm0z9Ho0sYdXbeDPjwByCtgXjmcPTEj5ixWiy5c9uvUIkI7q2X5/mrRpy4Fio5e+zL/Zz684lMmZ623LM0tWzmDD5efusUasyR07tIuLIVop++L4lfGpIABUqlbFp/pOL/7VNli5fkh0H1rLn8Ea2hq+kSDFz/alNJtape2sOntnJ3sObmLUomHTp0wLw+bXD7D28yfLXqFkdAKp5V2L/iVD2HNxI4Q/fs5xn0oyxlKv0sV3KkBz8VT2mSePB/OXTiDgeyoGT2+jVr7Pl+DYdm3Hg5Da2ha8mR87n/faKDXPJ/04eexQhWdAz0Osxefa4l+6TQ4g4tZWDn+2gdaemluPSpU/L9AXj2XlwHRGnttKoeV3LZ8GzxrH78AYWrJqGk5N5cVDadGnYHLYCg8HZtgWys47dW/PpmR3sObyRkEWTSJc+LQ4ODgROHUnEyVAiTobi5z/Icnzrjs2IOBnK1vBVZH/h+l62YQ75UuD1HRgyio692wDgkSY105YEEXp4DduOrqOzTzvLcWnTp2Xi3HFs3L+SHcc2UK9ZLctnATNHsvnTVcxcPgknJ0cA0qRLw+rdi3BOYe2xVavGnDkTxunTezl0KJTixQtjMBiYPXsCX355mFOn9jJ69CBSpUoFQJ061Th/fj8nT+6hePHClvPMnTuJKlXK2asYIv+aBuNekq9AHtZsW0jdhjUsYW06NiVP3pzUKt+cRjXa0blnG8uXoBkLgli7YjPe5ZoyM3gB81ZMBaBitXJER8ZSt3JLsmXPwjsF8wHgFzCICWNn2L5gdrR5w05qVGhCjQpNqF2lBbExdxnpG0Sz+p0t4UP6jeH33+/jN2Q8AD4Du1GjYhOWLFhN527mzq5ug5p8c+17vv3muj2LY1NZ82ajvV8ngjr641tnIFtnb8J34XDL52XqlqNi40p/GbfT2K5kzpU5UVjjT5riW2cAe5btxruD+Yto6Tpluf3tLX767rb1CpIM6Np+/TZv2EH1Ck2oXqEJtZ5d236+47l752cA+vTrSukyJRLF8R3Rl2YNOzN8cAB9B3YH4MNiH5A2rQfHjpyyeRns6d+0SWdnJ2YtDmbEwADqVm7J3OlLmD7ffL9Um3yuTPlS9OrXhTaNu1OncgsOHTjGpBljyZs/N7/d+506lVtY/rZv2QvAoGGf0KZxd0YNDeKT/l0BKFLsfdKk9eDEkTP2LI7dvKoeB/v1ISoyhprlm1C/ehvadW5B8ZJFAPikf1fqVG7BsoVr6dC1FQB16tfg22vX+e6bH+xZHLvSM9D/nz/vk3VeuE+27tiU3HlzUrt8iyR99+Q5/kRHxtKgahs6NOnNmIm+ZM7iybvvFcDTKyP1KrfiTuzPVKhq/vFn4IhPmDdjKXFx8XYpnz2ULl+Knv0607Zxd+pWbsnhA8eZOGMMjVvWI2/+3NQq34w6FVvwUbkS1Glgrvfe/btQr3JLli9cR4euLQGoXb863127zvcp6PrOUyAXS7bMpmb9apawPsN6EBN5hyaV29GmVhdadGxCkRIfADA+ZBQxUbG0rNGRHi36Mnz8QLyyZKJAoXxk8sxI82oduBv7C2WrlAbAZ1gPFoesJD4FtccCBfIyYYIfDRt2pHTpOkyaNJsNGxYydGgfcubMRsmS3pQtW5fMmT3p2bMDAKNGDaJOnTYMGDCKIUM+AaBEiSKkS5eGQ4dO2LM48jKj8b/1Z2MajHtJ+64t2LJuJ3t27LeE1axblc3rd5CQkMDvv91n97Z9NGpeF6/MmchbIDe7QvcBcOTTE7i7u/F+kYLEPYnD1c0VAFc3V+Lj46laswIxUbFc/fobu5QtOfAZ0JW7d39h9YpNljBnZ2dmzZ/ImBETifwpGoD4+KcYXAy4p3YjPi4eNzdXevftzLTgufbKul3Ex8WzYNgc7sX+CsD3l74jfab0ODk7kS1/dhr2asLmWRuTxKvYuDLuaVLz+cFzicKfxj/F2eCMq7sLT+OeYnA1UL97IzbPTHqON42ubevyGdCNu3d/tlzb5Sp8RJXq5Vm5PHHbinsSh5ubK+7ubpYvP2MCfQkYM9Xmeba3f9Mm4+OfUrawN5e/vAZAjlzZ+fWX3wDUJl9QuOh7HD9ymujIGADCd39KNe9KlC5XEqPRyIbtSwg/uoV+Q3ri4GB+BIqLM9efu7ub5QuQ37hBTBg73W7lsLdX1eOEsdMJGjMNAE+vjLgYDNy//wCA+Ph4c7/t7kZcfDyubq509+nIzCkpb3bmq+gZ6N9r9+w+uTfRfbIKW9bvfOE+GUGj5nVIlz4t5St9zKwpiwCIjoqliXcH7t37nbi4OAyuBgDcnl3rBd8vQJZsXhyKOGaXstlL4aKFOHHkNNGRsYD5+q7qXQmDwXz9GlwMGFycMTg78+RJHGB+fvyr6ztkygJ7FsXmWnVuxvYNe4jY9aklLHjUDKb5zwYgo2dGDAZnHtx/QNr0aSld8SMWTFsKQEzUHdrW6cZv934nPi7+hfboSnxcPO+8l5/MWT05uj9lDSY9eRLHJ58MIzra3B4///wSXl6ZKFGiKJs37+LJkyeYTCZ27YqgcePagLnfNj9LulueJSdM8MPPb4LdyiHyf6EXOLxk3PBgAMpW/MgSliWbF1E/xVj+HRUZS8H3CpAlW2Zio+9gMpksn0VHxpA5qxcH9x2lTsMa7D60gQPhh/npVhRT5wbSuaWP7QqTzGTIkJ6ePp2oWalZovDW7ZsQHR1L2O7nHdvEgBmE7l7Jndif6f+JH/0G9WDFknU8fPDI1tm2qzu3Y7lzO9by746ju3DuwFmcnJ3oO2MgcweHkK9I4mWrOd/NRZ0u9Rnbwo9ugT0TfbZu8mrGbQzit7v3mDs4hCY+zdm3ai9/PHxsk/LYk65t68mQIT29fDpRs5J5qZBX5kwETvKjVZPudOjcItGxgWOnsnDZNP744wm+A8bSpn0zjh05ze1bkfbIul39mzYJ8PTpUzJmysDOg+t5K0N6+nUbBsDxw6fVJp+5+PlXdOrRhmzZs/DT7ShatGmIi4uBjBkzcOzwKSaMnY6rqyvLN8zhwf2HLFu4hgnjZjBnyWT+ePwEv8EBtGrXhJNHz/DT7Sh7F8duXlWP6d9KR2zMXWYumEDt+jXYt+cg3397A4DJ42excccy7t75mcE+o/AZ2I1VSzekuH77VfQM9H/jb7lPlrKEvXyfjI6MoeB7BciVJwexMXfp2rstlaqVw+BiYMncVdz4/iY/fPcj509fZNeh9Xzx+VecOHKGFZvnMsZ3os3LZG9ffP4VHV+4vps/u74PRhzFu25VTn+1H0cnR44dOsWn+44AMHl8COt3LOXunZ/x9RlNn4FdWb10Y4prkxP9zD9GfFyhZKLwhIQEJswZS416VTgYdoQb393kvaIFuRt7l/Y9W1O+ahkMLs6snLeOH6/f4sb3N7lw5gs2HVjJl59f5vTRsyzYMJPxw6bYo1h2dfPmbW7efL46Jzh4NHv2HODSpSs0a1afbdv2EhcXT8uWDcmc2bzFzsiRE1i9eg6PH/+Bj48fnTq14tChk9y8+ZO9iiHyf2KVwbioqCgCAwOJjo6mevXq9OzZE0dH81r4nj17snDhQmskazV//nr+ooQE41+GAxgTEjCZTIwYEGAJ6zOoG5vX7SDD228RPGscALOnLrLMckgJ2nVqwb69B7n1Y+IbZY9POuI7YGyisD0797Nnp/lX0Fy5c1Diow+ZMnEOAROHkyNXdk6fOMvCuSttlnd7c3Fzoc+0/rydJSNBHf3pPbkvYSt2c+ubm4kG49zTuNN3xgBC+k/nyeMnSc5zJuwUZ8LMSwG9cmbmneLvsmn6ejqN6YpnDi8un/mK3Ut22qxc9qZr+/X489q++eNPODk5sWDZdEaPmEhszJ0kx545dZ7a1cxLXNKlS0vbDs1oUq8D/Qb1oESponxz9XuC/FPujKRXtck/3b3zC2ULe/N+kYKsCV1IE+/2/PD9TbXJZz47dZ6QyQtYtGomRpORTWu38+sv91i1bCP3fn02kzAuniXzV9OpexuWLVzD2dOf07BGW8C8f1TL9k1o1aALfQZ2o1iJInz7zfcEB4TYs1g296p6/HMGwoBefvgNDmTBiun09+3FjOB5hO06QNiuA4B5v8LipYoyfdI8xgQNJUeubJw5cY4l81fbs1h2pWeg1+ev75MJODs7kTN3dh7cf0iLul3IlScHG3Yv4cb1W3z1xRWmT5zH9InzAGjYvA6XLlzmwf0HhCyeiKubK6sWb0gRS9M/O/U5syYvZMGqGRhNRjY/u7579+/CLz//SqmCVXB1dWXh6pl0+6QDS+atInzXp4Q/mw2WM3d2ipUqyoxJ8xkd5Pvs+j7P0hR8fQP4+fgTOHQy05dOoNfgLpw8/BnZc2Xj4f2HdGzQkxy5s7Nix3x+/OEWVy5dY07wIuYEm2dx1m3qzdcXr/DwwUOCFwTg5ubKuqWbOX30rJ1LZTvu7m4sXjyN7Nmz0KBBRx49ekxAwFAOH97GvXu/sWXLbj74oCAAJ06cpUKFhgCkT5+Wzp1bUrNmK3x9+/DRR8W4evVbRo8OtmdxRP4nVlmm6ufnR7Vq1QgICODSpUv06tWLp0+fAhATE/MPsZOfyNvReHpltPw7c5ZMREfFEHk7ikyeGRMd65XFk6jI2ERhWbNlpkKVMmxcvY0Bw3qxbP4axg2bxNgJQ22S/+SiQZNabFy7LVHYB0UK4eTkyKnjr+5sxk0YRsDoKVSoVJrUHqnp3MaHKtXKkztPTmtnOVnImDUj40ODMSYY8W81Cld3Vwp+9B71ujZgyt4ZtBzUhkKl3mPEitEUrVgM97Sp6R8yiCl7Z1CyxkfU69qAloPaJDlvx9FdWBW0nA/KFcHNw43J3SfwYaXiSfaZe5Pp2n49GjapzYZn13bRYh+QM2c2/IOGceBYKB06t6Rhk9pMmxWYJN6wkf0Imb6QbNmzUqFSaTq27sNbGdJTvmJpWxch2XhVm0yTxoOadapYwr++dJUrX3/Du4UKJIqf0ttkag93Tp88R92qLalfrTVhu8wDGlVqVLDMMARIRSrLc8mLhvj5MHfGErJmz0K5ih/TrV0/3norPeUqpqwXObyqHot8+D6emTMB8OjhY3aGhvFBkUJJ4o8e70vQmGmUq/gxHh7udG/Xn0rVypErTw6bliM50TPQ6/PyfdIriyfRUbHERJt/ANq6fhcAP/5wi3OnL1Kk+PuJ4qf2cKdDt5bMm7GETj3bcijiOP26DWdU0BDbFcKOUnu4c+bkOepXbUXDam0IfzaIXqbCR2xau534+Kfcv/+ArRt3Urp8qSTxR40fwoQx0ylX8WNSe6SmR7sBKfr6Llv5YzI9a4+PHz0mbPt+ChV+lzvPfpDcsXEPALdu3ObCZ5coXOy9RPHdU7vTpmtzFoesoF33lhw7cBLfnqMZGjjAtgWxoxw5snLoUCgJCQl4e7fit99+J0OG9ISELKZUKW9q1GjBzz//wvXrN5LEHTt2CJMnzyVHjqxUqVKO5s27kSHDW1SurBc5JAsm03/rz8asMhh37949mjZtygcffMD8+fNJkyYNvr6+1kjKJvaHHaZ524Y4OjqSJq0H9Rp7E7H3MNFRsfx44xb1GnsDUKFKGYxGI9cuf5so/gj/gUwaNxOTyYTBYCA+/ilGkwlXd1d7FMcu0qVLS548OTl75mKi8DLlSnL86Kt/hazuXYmYqFi+unQFg4uBp/HmL08mkwlXNxer5jk58Ejngf+mCZwJP8XMvlOJexLHL9E/0/OjzvjWGYhvnYFsnL6OK2cvM7FTIKf2nKBP+R6Wz87t/4zdS3eycfq6ROctXrUkv8b8wo2vf8DZ4MzT+ATAfA8yuL759fonXdv//55f2xcAOH/2IiU+qGp5scOq5RvZERrG4H6jE8V774N3yZ4zKxFhhzC4OBP/7No2Go24paD6e9mr2mSCMYHgWeMo8VFRAAq8m5d8+XNz8fyXieKn9DbpldmTjTuX4ZEmNQD9hvRkZ2gY7xbKz6ARfXBwcMDF1YUO3Vqxa9u+RHELvf8O2bJn5UD4YUvdgblN/rknX0rxqnqs16gmA3x7AWAwOFOvoTcnjyXuw6vWrEhM9B2+/vIqBpfn9WgymXB1TVn1+Cc9A71eB8IO0+yl++T+vYe4fTOSr764QpNW9QB4O1MGin9UlC8vXk4Uv59vD5bNX8vjR39gcHHm6dN4TEYjbinkOvfKnIn1O5daru++Q3qyKzScr764TN1GNQFwcnKieq3KXDx/KVHcP6/vy8+u70RtMgU9P76oZoNq9BpsfvmPs8EZ7wbVOHP8PD/djOLyF1dp0NL8wrQMGd+iaMnCfP3F1UTxew/pyqqF63n86A+cXZx5Gv/U/CyUQtrjW2+lIyJiEzt2hNOhQ1/++MO8sqdu3erMnm3eAy51anf69evGhg07EsUtXLgQOXJkY8+eA7i4GIiPN8/eNhqNuKeQ5x75b7PKMlVHR0e+/fZbChQoQKpUqQgODqZbt26MGTOGhIQEayRpVWuXbyZX7uzsObIRg8GZdSu38NnJ8wD07z6CCTNG02dQN+KexOHTdWiifabKVfyYx48eW74wLZm3mgnTRwEwOXC27QtjJ7nz5iQm5m6SmQh58ubi9ivW9xsMzgz07U3bZuZ9z44cPEGnrq05cDyUz89e4upLAyNvoprta5Mxa0Y+9i7Nx97PZwv5txnDg3v3/0/ndDI40axfSyZ09Afgi2MX8O5QmylhM/n2wjVuXvvxteT9v0DX9v+/PHlzEhNz5y9nGf2dceOHMXyweWnl1cvf8vPdXzh4Yjs/3rjFoQPHrZHV/4S/a5M9OwxidJAvTk5OxMXFMaCXH9FRz2drqk3C9e9uMD9kKTsi1pLKwYFzpz9n9LCJpEqVisDgEUQc34qTkxN7du5nw+qtieKOChzCKN8gAK5dMbfJ8KNbuPnjbY58mrI21H5VPboYDARNG0XE8VBMJhMRew+ybOFaSzyDwZl+Q3rSsUVvAI4dOkmHLi0JO7KZC+cuce3Km99v/xU9A71ea5dvIWfuHOw+sgGDwZn1K7fy2cnPAejVYTD+k4fTulMzHBwcmDN1MV9eeD4Yl69AHt4pVICJY2cCsH7lVmYunECfQd2YO32JXcpja9e/+5EFIcvYFrEGBwcHzp6+wNhhE3Fzc2XcpOEcOL2dhAQjJ4+eYUHIcks8g8GZvkN60KmF+e2Vxw6dpF2XFuw9sokL577k2pXv7FUku5o2bhajJg8l9PAaTCY4GHaUtYvNL68a0GU4IycOoXmHxjikcmDh9GV8ffGKJW6eArnIXzCv5QUQW1ZtZ9J8f3oM7MSiGSvsURyb6969PTlyZKVBA28aNPC2hDdo0IFSpYpx/vx+HB0dWL58A9u27U0Ud9KkUfTvb37O+frra9y58zOffRbOjRs3iYg4YtNyiPxfpDKZXv98vPPnz+Pr68vAgQOpX78+AI8ePWLIkCEcOnSIK1eu/MMZEsubsdjrzmKK9Php0j3E5N8rn67APx8k/+j8w5v2zsIb49HTP+ydhTeCu5N+RX1dEkz/vR/e5M0Wl/DvfjCQv6b75Oth1D3ytUnj7G7vLLwRvv0t5b1Iy1oeP045Exv+yePl/61tUtw6T7ZpelaZGVeiRAkOHjxomSoK4O7uzrx58/71QJyIiIiIiIiIiMibwiqDcUajkU2bNhEeHk50dDQODg54enpSqVIl2rVrZ40kRUREREREREREkj2rDMaNHTsWo9GIj48Pnp6eAMTGxrJjxw5GjBjB1KlTrZGsiIiIiIiIiIjYm9Fo7xwka1YZjDt79izh4eGJwnLmzEnJkiWpW7euNZIUERERERERERFJ9hyscVIPDw8uXbqUJPzChQu4u2uTTRERERERERERSZmsMjMuMDCQoUOH8uTJEzJlygTAnTt3cHFx0RJVERERERERERFJsawyGFeoUCF27dpFZGQksbGxmEwmvLy8yJo1qzWSExERERERERGR5MKkPeP+jlWWqf4pa9asfPjhhxQrVgx/f39rJiUiIiIiIiIiIpLsWXUw7kWxsbG2SkpERERERERERCRZssoy1b9iMplslZSIiIiIiIiIiNiJyagxoL9js5lxixYtslVSIiIiIiIiIiIiyZLNBuM8PT1tlZSIiIiIiIiIiEiyZJVlqnPmzPnbz318fKyRrIiIiIiIiIiISLJmlZlxCQkJLF26FKNRr7IVEREREREREUlRjMb/1p+NWWVmXP/+/YmNjcXNzY3u3btbIwkREREREREREZH/HKvtGTdixAgyZcpkrdOLiIiIiIiIiIj851hlZhyAh4cHjRo1stbpRUREREREREQkOTJp27K/Y7O3qYqIiIiIiIiIiKR0VpkZt3379r/9XDPmREREREREREQkJbLKYNzp06fZt28ftWrV+svPNRgnIiIiIiIiIvKGMprsnYNkzSqDcZMmTeLevXuUKFGCZs2aWSMJERERERERERGR/xyr7RkXEBDAb7/9Zq3Ti4iIiIiIiIiI/OdYbTDO09OTrl27Wuv0IiIiIiIiIiIi/zlWWaYKcOzYMcLDw4mOjsbBwQFPT08qVqyIt7e3tZIUERERERERERF7MxrtnYNkzSqDcSEhIVy6dIkGDRrg6ekJQGxsLFu2bOHixYsMGzbMGsmKiIiIiIiIiIgka1YZjNu7dy9hYWE4OCReBVuvXj3q1aunwTgREREREREREUmRrDIY5+LiQnR0NFmzZk0UHhkZicFgsEaSIiIiIiIiIiKSHGiZ6t+yymDc8OHDadu2Lblz5yZTpkwA3Llzhxs3bjBx4kRrJCkiIiIiIiIiIpLsWWUwrmzZsgwZMoQffvgBR0dHcuTIgZeXF0WLFmXbtm2ULl3aGsmKiIiIiIiIiIgka1YZjJs6dSpff/01efPmZe/evQwfPpxSpUoBsGHDBlq2bGmNZOUfGByt9vLcFOXk79/ZOwtvhCD3YvbOwhtjlPGivbPwRvBwcrV3Ft4YD58+sXcW3ggOqVLZOwtvjASTlsq8DrpPvh5PjPH2zsIbI42jm72z8EZwdnC0dxbkTWQy2TsHyZpVRmeOHDnCtm3bcHJyon379nTp0gWDwUDt2rUx6T9ERERERERERERSKKsMxplMJlI9+zU3d+7cLFy4kM6dO5MhQwZLuIiIiIiIiIiISErjYI2T1qpVi/bt23Pp0iUAChQoQEhICAMGDODmzZvWSFJERERERERERCTZs8rMOB8fH0qUKEHq1KktYSVKlCA0NJRly5ZZI0kREREREREREUkOjNqv9e9YbUf/MmXKJAnLkiULI0eOtFaSIiIiIiIiIiIiyZpVlqmKiIiIiIiIiIhIUlabGSciIiIiIiIiIimQ0WTvHCRrmhknIiIiIiIiIiJiIxqMExERERERERERsRENxomIiIiIiIiIiNiI9owTEREREREREZHXx2S0dw6SNc2MExERERERERERsRENxomIiIiIiIiIiNiIlqmKiIiIiIiIiMjrYzTZOwfJmmbGiYiIiIiIiIiI2IgG40RERERERERERGxEy1RFREREREREROS1MRn1NtW/o5lxIiIiIiIiIiIiNqLBOBERERERERERERvRYJyIiIiIiIiIiIiNaM84ERERERERERF5fYwme+cgWdPMOBERERERERERERvRYJyIiIiIiIiIiIiNaJmqiIiIiIiIiIi8PiajvXOQrGlmnIiIiIiIiIiIiI1oME5ERERERERERMRGNBgnIiIiIiIiIiJiI9ozTkREREREREREXh+jyd45SNY0M+4VJs/2p1uf9gA4ODgwOsiX/adCOfjZDtp0amY5LnfenGzctZR9J7ayLWI1efPnBsDZ2Ykl60LYc3gj46eNtByfM3d2Vm2Zb9OyJAedurfm4Jmd7D28iVmLgkmXPi1p0ngwf/k0Io6HcuDkNnr162w5vk3HZhw4uY1t4avJkTObJXzFhrnkfyePPYqQLNSqW439x0OJOLqVzTuXkyt3DhwcHPCfOJwjZ3Zx/HwY7Tu3sBzfrlNzDp3ayc59axPV46pN88n/Tl57FMHucnqXoM3VxQA4ODtSJrgLjQ4F0+hQMCXHtCGVQyoA0hfMTttvltAgIsjylzZfFgCK+Taj4YGJeG8agSGtOwCpnBypvX0MLhnS2KdgdlKrbjX2Hwtl35EtbNqxjFy5cyT6fPHKmYwP9rP8u7p3JT49uZ2wQ5so8uH7lvDJM8dRvlJpm+U7OQkMGUXH3m0A8EiTmmlLggg9vIZtR9fR2addkuOz5czCsSv7eK9oQUtYwMyRbP50FTOXT8LJyRGANOnSsHr3IpwNzrYpiJ1Nnj3upX57CBGntnLwsx207tTUclz+d/KwcfdSdh1az86D66hQpQxg7rcXrwth9+ENSfrtlVvm2bYwdhY8exxdP3lel6OChhB+cisHPttO647P6/LjciXZ/uladh3ewOptCyn4fgHAXJeL1s5k56H1BE59fv3nzJ2dFZvn2rYwycBf3SfTpPFg4YrpHDixjYOndvBJvy6W49t2bM7BUzvYsW9N4r5747wU23cHhIykQ+/WScKnL53AiAmDkoSXqfQRGw+sSHyOmSPZ9OlKZrx0n1yVgu6TE2eNpcsnifuVzFm9OPLFHtJnSGcJy/dOHtbuWsy2g2sJ/XQN5auY+2dnZycWrJnO9kNr8Z86wnJ8jtzZWLp5jm0KkQyMnDGU1j3Nz9vjF41lRcQiy9++KzsJXj4egDTp0zB2th/L9y1k3ZEVeDetYTmH3/ShrNi/mIlLA3C0tEcPFu6cnWLa48vq1qvB7agvkoRPDB7Fpi1LLP8uWbIoJ8/s5eSZvdT0rmwJ9x3ahw4dWySJWc9X4gAAIABJREFUL2INO3bsoG7dutStW5fg4OD/0zk0GPeSfAXysGbbQuo2fH6zbNOxKXny5qRW+eY0qtGOzj3bUKSY+UvkjAVBrF2xGe9yTZkZvIB5K6YCULFaOaIjY6lbuSXZsmfhnYL5APALGMSEsTNsXzA7KlO+FL36daFN4+7UqdyCQweOMWnGWAb79SEqMoaa5ZtQv3ob2nVuQfGSRQD4pH9X6lRuwbKFa+nQtRUAderX4Ntr1/numx/sWRy7cXV1YfbCSXRvP4CaFZsSEXaIwOARtO/cgjz5clG1bCPqVm1Jt17t+bB4YQD6DOiGd6WmLFm4hk7dzA+xdRvU5Nur3/PdN9ftWRy7SJPHi5Kjnw+4FexcE9cMadhedTg7qo/As2QBctc3P3B6lnyH69tOsrPmSMvf799H4ZzGjVx1SrGj+ggij3xF3iblAHivqzc/bD/Fk1/u2618tubq6sKsBRPp3qE/3pWaERF+iIBJzx/Oe/ftzEdliieKM3h4H1o16spI3/H0GdAVgKLFPiBNWg+OHzlt0/zbW54CuViyZTY161ezhPUZ1oOYyDs0qdyONrW60KJjE4qU+MDyucHFwIQ543A2PJ/YXqBQPjJ5ZqR5tQ7cjf2Fss++NPkM68HikJXEx8XbrlB28Ge/XeeFfrt1x6bkzpuT2uVbJOm3/aeMYPO6ndSv0prh/f2ZvXQSjo6OVKxWlujIGOpVbvVSvz2QiSmk385XIDerQhdQu8HzumzVsSm58uagboUWNKnRno7P6tIjjQdzV0wheNxM6lduxVjfiYQsmYTB4EyFqua6bFClNVlzZKHAs7oc7j+QSeNm2qt4dvGq+6SvX1+iImOoXq4xdau1on2XlhQvVRSAPgO6UqtSM5YuXEtHS99dg2+uXU9xfXeeArlY/NJ98k+d+rSlWOmiicJcXA30GdaDyYsCcXJKfJ/M6Pk2Lap15OfYnylb5WMAfIZ1Z0nIijf+Ppm3QG5WbJ1HrQbVE4U3bFGHtTsX4ZXFM1H42OBhbF23k8ZV2zKyfwAzFk/E0dGR8lXLEh0VS6Mqbcma/fm1Pcx/AJPHhdisPPaSK39OZm2aRtX6lS1ho3r406lmDzrV7MEk32k8+P0h00aa62LUjGHERt2hs3dP+rcawoAAHzJlyUi+Qnl52zMDnWp055c7v/Bx5VIAdPftwspZa9/49vhX8uXLTdCEETg4JB6eaNykDi1bNkwUNmBQL/r7+NGoQQf8Rg0EIHv2rFSuUo5VKzfZLM+Scj1+/JigoCBWr17Njh07OHfuHCdPnvzX59Ey1Ze079qCLet2Enk72hJWs25V1q/aSkJCAr//dp/d2/bRqHldYqJiyVsgN7tC9wFw5NMTBE7x4/0iBYl7EoermysArm6uxMfHU7VmBWKiYrn69Td2KZu9FC76HsePnCY6MgaA8N2fEjxzHB/kLkNCgvl1x55eGXExGLh//wEA8fHxGFwMuLu7ERcfj6ubK919OtKuaQ+7lcPeHBwdSZUqFWnSegCQOrU7f/wRR6261Vi7cjMJCQn89tvv7AgNo0mLelz8/Euexj+11GP8s3rs5dOJVk262bk0tufoaqDirN6c9V9LxbmfAHB5URhXlkWAyYTLW2kwpHXnyT1zG/QsWYA0OT2pu9sfgC/n7uJm2DmM8QmkckhFKidHnNxdeHLvAW6e6clZqwThTcfbrXz24ODo8KxNmmcDpk7tzpMnTwAoW74UlauVZ/WKTaRPl9YSJy4uDjc3N9zc3SwPm6P8BzPgE7+kCbzhWnVuxvYNe4j6KcYSFjxqBo6O5l/IM3pmxGBw5sGz+yKA38Qh7Ny4h24DOlnC4uPiMbgaAHBzdyU+Lp533stP5qyeHN1/wjaFsaN2ln47yhJWs24VNqwKfaHfjqBR8zpcuvA1jg6OpEv/rM16pObJH3EAxD2Jx+1Zv+3i5kJcfDxValYgOuoOV7/+1vYFs4O2XVuwdf1Oon564RmoTmU2rN5mqcs92/bRsHkdtm3czf3fH3Dq2FkArn93gwf3H/JhySLExcU/fwZydSE+Lp4qNSoQEx2bYuryT6+6T44ZMdFyrXt5ZcRgMHD/d/OPOYn67md12dOnE62bdLdbOeylVeem7NiwJ1GbBChVrjjlqpRmy8rtpE3/fEZ62cqlcXN3ZdzACXwy9Hl9xSW6T7oRH/eUd97Lj1dWL47u//dfoP5r2nZpTuiGXYn6G0+vjFSrXZkebQaw53jiAQwHRwfSpTf33ak9Ulv69vi4uCTXduUa5YmJusO1FHBtN+3UiD0bw4l5oR7/5OTsxKiZwwgZO5fYyDukSZ+GUhVKMKZ3IAB3ou7So34ffv/1Pm7ubhhczO3R1d2Np3FPyf9eXjyzZuLkgZT1wySAm5sri5dOZ8TwIJYuf/6DzTvv5qP/wJ4ET5pNteoVLeFxcXG4ubuR2t2d+DhzHz5+wgjGjJpk87zLPzAa7Z2Df+X333/n999/TxKeNm1a0qZ9/n0mISEBo9HI48ePcXd35+nTp7i4uPzr9DQY95Jxw81TDMtW/MgSliWbV6LOKyoyloLvFSBLtszERt/BZHq+Fjo6MobMWb04uO8odRrWYPehDRwIP8xPt6KYOjeQzi19bFeYZOLi51/RqUcbsmXPwk+3o2jRpiEuLgbSv5WO2Ji7zFwwgdr1a7Bvz0G+//YGAJPHz2LjjmXcvfMzg31G4TOwG6uWbuDhg0f2LYwdPXr4iOGDAtixby2//nIPR0cHGtVqz8oNc4l84SE1KjKGQu+/A8DEgJls2bWCO3d+ZuAnI+k3qAcrlq5PkfVYdnIXrq05yK9XbiYKNz1NoMSIlhTsXIOfv/iBmDPXAHj66AnXt5/k2qpPSZc/K7W2jOTh7bv8/OUNriyLoP7eAH7/IZpLs3dSdnIXPp+0CVMK2xfh0cPHDB8cyPbwNc/apCONa7fDK3Mm/CeOoG2zHrTrlHi5QNDY6cxbMoU//viDYYMCaN2+KcePnuanFwZSUoqJftMA+LhCyUThCQkJTJgzlhr1qnAw7Ag3vjO32SZt6uPs7MTWtTsTDcbd+P4mF858waYDK/ny88ucPnqWBRtmMn7YFJuVxZ78Lf12KUvYy/12dGQMBd8zL6EcO2wSa7YtoHOvtrydMQP9u48gISGB44dPU7thdXYdWs+B8CNEPuu3u6Sgfjtg+GQg8TNQ5myZiX6hj4mOMj8D3fj+Ju6p3SlfuTTHD5+m8IfvUeDdfHh6ZWTP9ghqN6jOzkPrOBB2hMjbUUyZG0DXVn1tXiZ7e9V9EszX+qwFk6jToAbhez61PANNCpzJ5p3LuXvnZwb2GUXfgd1ZuSRlPgNN9JsOwEcVSljCMnllZGjgAHq3GkizDo0SHX8o/CiHwo9SsmyxROE/fn+TC2cusfHACr56dp+cv2EGQSnkPhk4wlzOMhWeX9uxMXfp13noXx4fMHwyK7fOp2PP1mTImIHBPUeSkJDAicNn8K5fjW0H13Iw/Ag/3Y5i0pxx9Gjd3yblsLfpo2YBULJ8sSSf1Wtdh7sxP3M0/DgA2XNn427sz7Tq2ZzSVT7CYHBm3YJN3Lp+m5vf3+LS2a9YEbGIry9c4eyx88xYF8yUESlr5vCfQmYHsWzZer7+6qolLHVqdxYtmU7vnr4Ue7bi50/Bk2YTMisIZ2cnRgwPonKVcjx48JDz5y/ZOuvyhlm5ciVz5iRdcu/j40Pfvs+fYTw8POjfvz+1a9fG1dWVjz76iOLFiyeJ90+sMhh3//59lixZQrp06ahbty79+/fnm2++oUSJEowfPx4vLy9rJGs1L0+XBUhIMP5lOIAxIQGTycSIAQGWsD6DurF53Q4yvP0WwbPGATB76iIuf3nNKnlOTj47dZ6QyQtYtGomRpORTWu38+sv94h7NitmQC8//AYHsmDFdPr79mJG8DzCdh0gbNcBwLzHTPFSRZk+aR5jgoaSI1c2zpw4x5L5q+1ZLJsr+F4BBgztTZXSDfjxxi269GjL4lUzLb+sv8j4bMbh3l372btrPwC5cuegRKmiTJ04B/8Jw8mRKxunT5xj0byVNi2HPbzbsTrGp0a+23gUj+wZk3x+fuJGPp+yhXJTulJmUmeOD1jIab8Vls9/+y6SG7vOkKNmcX7+8gZXVx7g6kpz+/Qs9Q6kSsXdL36g3LTuuGRIw42dp7m+7c3/pb1goQIM9O1F1TINLW1y6drZ3Pv1N8b6TSI25m6SOJ+d/px6NczLrtKlS0vr9k1oXr8zPgO7U7xkEb699j0TA1Lmw+iL/Hz8CRw6melLJ9BrcBcOhR+lecfGdG7U+y+PnxO8iDnBiwCo29Sbry9e4eGDhwQvCMDNzZV1Szdz+uhZWxbBrv66307A4GJg1pJJDO07jkMRx/iwRGEWrZ3Jlxe+JioyBr8BgZbj+wzqypZ1O8jwdnqCZ40FYPbUxSmi336Rw7Nl/S9KMBp58OAhvTsMYpDfJwwd25+zpz/n9PGzxMfHYzKZGDnweV1+8qwu33o7PRNDzHU5d1rKqMu/uk8uWjmTmhXNe+/16zWc4YP9WbRyJgOH9mbapLns3XWAvc+egf7su6dNmsu4CcPIkTMbp0+eY/G8VfYslt04OTkSvCCAKaNDuBv787+KOzd4EXOT3CcfEbwgAFc3F9Yv3ZKi7pOvYnAxMGPRBEb08+fw/uMULfEB81dP58sLl4mOjGH0oCDLsb0GdiF0/S7eypCeoJDRAMybuoQrX6WsVUAALbs3ZfLQ6ZZ/Ozk5ki1XVh7ef0jvRv3Iljsr80JDuP3Dba59+S2LJy9j8eRlANRsUp0rX1zj4f1H+M8bhaubK1uWbePssfP2Ko7NdOvejqdPE1izajM5X9gjc868SSxasJIrl79JMhh37ep31KrZEgAnJyfC9q2ndatetO/Qgnr1axAZGcMw3wDins2aE/lfdezYkcaNGycJf3FWHMDVq1fZunUrhw4dIk2aNAwZMoSlS5fSrdu/W31mlT3jhg0bhtFo5OrVq7Rs2ZLGjRtz4sQJatWqxdixY62RpFVF3o7G0+v5F/jMWTIRHRVD5O0oMnkm/mLvlcWTqMjYRGFZs2WmQpUybFy9jQHDerFs/hrGDZvE2Al//WvUmya1hzunT56jbtWW1K/WmrBng0NFPnwfz8yZAPMvxztDw/igSKEk8UeP9yVozDTKVfwYDw93urfrT6Vq5ciVJ0eSY99klaqW49yZC/x44xYAK5as591C+bl9KxJPr0yW4zJn8SQqMun0+bFBQwkYPYXylUqT2sOdLm37UrlaOXLnyWmzMthL/uYVyFg0Dw0igqi+2hdHVwMNIoLwLFmAtHkzA+YZct9tOsbbH+QmlUMqivRrgFNq1+cnSQXGpwmJzpvKIRUl/Fpybvx68jUtx/1bdzjYZQaF+9TH0fXN33y3UrVynH2pTeYvkIeiH77P2PFD2XdkC+06taB+41pMCfFPEt/Xz4fZ0xeTNXsWylf8mC5t+/JWhvSUq/ixrYuSbJSt/DGZnvU3jx89Jmz7fgoVfpf6zeuQ2iM1q3YtYtOBlXh6ZWTS3HFUrlk+UXz31O606dqcxSEraNe9JccOnMS352iGBg6wR3Hs5uV+2yuLJ9FRsbxbKB9ubq4cijgGwMXzX/Ltte8p+sK+fABZsmWm/LN+u/+wXiydv5Zxw4IZk0L67RdF3o4m0wt9jFfmTERHxpAqVSoePXxEu0Y9aVClNYEjppAzd3Z+/OFWovhZsmWmfOXSbFqznf5De7F8wRoChgczaoKvrYtiF391n3y3UH7qN66F1wvPQDu27v3LZ6Ax430JHDOV8pVK4+GRmq7t+lG5Wnlyp7BnoD+9V7QQ2XJmYbB/XzYeWEHzDo2o2bAaY6cN/5/P4Z7andZdm7EkZCVtu7fg2IGTDO05mqGBKWN21z95p2A+XN1cObzfPMPri/Nf8d216xQt/n6i47Jk86Jc5Y/ZvGY7fYf2YMX8dQQOn8LICUPskW27KvB+fhwdHblw6vnLB+7GmAeL924yb2f0041ILp39ikLFEl/n7qndaNa5MStD1tKye1NOfnqG0b0D6O/fx3YFsKO27ZpSvERhjp/azZbQZbi5uXLx0kEaN6nDJz5dOH5qNyNHDaRM2VJsCV2WJH7vPp3YumU3jx89xqdvF1q16MFPtyNp2arRX6QmNmc0/af+0qZNS/bs2ZP8vTwYd/z4ccqUKcPbb7+NwWCgSZMmfPbZZ/+6eqwyGHf79m0GDx5MUFAQ8fHxtGzZEjc3N5o2bUpMTNJBguRuf9hhmrdtiKOjI2nSelCvsTcRew8THRXLjzduUa+xNwAVqpTBaDRy7XLiPRNGPNuw2GQyYTAYiI9/itFkwtXd9a+Se+N4ZfZk485leKRJDUC/IT3ZGRpGvUY1GeDbCwCDwZl6Db05eexMorhVa1YkJvoOX395FYOLue4ATCYTrq4po/7+9NUXVyhdriQZM70NmN/OdvPHn9i39yCt2jXB0dGRtGnT0LBJbcL3fJoobnXvSsREx/L1l1dxcTHw9Omf9Qiubv9+fft/zZ56Y9lRbQQ7a47kQPspJPwRx86aI8lc/n1KjWtHKkcHSJWKvI3LEnXiMiajiRw1ivNuuyoApM72NrnqfMSPexL/Yv5uh+rc2n+BxzH3cDA4YYpPAJOJVE4OODi9+bsAfPnF5ZfaZFVu/fgT+bOVxLtSM7wrNWPNik3s2haOb//EP8QUev9dsuXIyv7ww7gYnrdJo9Fo2bcrJarZoBq9BptfbOFscMa7QTXOHD/P5DEzaVCuJS2qd6RF9Y7ExtxleJ9xHI44nih+7yFdWbVwPY8f/YGzizNP45+myDo9EHaYZi/12/v3HuLG9VukSetB8VLmlwXlzJ2d/AXyJJmhNcJ/AMHjQiz99tNn/bZbCum3X/Rp+BGatWmQqC4PhB3GZDKxeP0sPihq/mJZq0F14uOfJtkTbrj/ACb7P6vLP9ukyZRi2uSr7pOVqpRl4FDzTFeDwZn6jbw58dIzULWalZ4/AxmcU/Qz0J8unf8K7xKNaVm9Ey2rd2Lzqu1E7PgU/8H/+15RvYZ0YfXCDTx+9AcGl2fXt9Fk2QstpfvxB/N9stiz+2SO3NnI+05uLn+V+D45dFx/pgbMfnZtm/txUwrsbwCKlSnK5ycuJAqLuhXN1UvfUKe5+XviWxnfonCJ97n6ReJ67DyoIxsXb+aPx3/gbDDfI01GEy4p4PkcoEqlxpQuVZvyZerRrEkXHj/+gw+LVCV9mvyUL1OP8mXqETR+BqdOnqVZky6J4nplzkT9+jVZvGgNDg7m/TlNJhNGkwn3FNhfi+0ULFiQkydP8ujRI0wmEwcPHqRw4cL/HPElVvm26OTkxPXr18mbNy/Lly+3hF++fJlUqZIud0ju1i7fTK7c2dlzZKN5vf/KLXx20jxtuH/3EUyYMZo+g7oR9yQOn65DE+0hV67ixzx+9JiL578EYMm81UyYPgqAyYGzbV8YO7j+3Q3mhyxlR8RaUjk4cO7054weNhEXg4GgaaOIOB6KyWQiYu9Bli1ca4lnMDjTb0hPOrYwP6weO3SSDl1aEnZkMxfOXeLalTd/o9gXnTh2hvmzl7Nl13Li459y79ff6NLWh++/vUHuPDnZfywUg8GZ1Ss2cfrkOUs8g8GZ/kN60b65eeDzyMETdOjaiv3HQvn83BdcvZyy6vFFX83dxUf+7WmwfwIYTcScvcb5iRsBONp3PmUmdSZ/84qkcnTgs3Gr+e27SEtcl7c8yNe0HGFNzEuxfth+iqrLBpK3SVmubz9F/IPHdimTLZ089hkLZi9n867lxMfFm9tku/9tT6gxgUPw8zW/8OLqlW+5e+cX9h8L5ccbtzj86Zv/0oFXmTZuFqMmDyX08BpMJjgYdpS1izf+T3HzFMhF/oJ5meZv7lu2rNrOpPn+9BjYiUUzVlgx18nP2uVbyJk7B7uPbMBgcGb9yq18dvJzAHp3HMzoCb64uBiIf/qUUYODuHnjtiVu2Yof8fjRH5Z+e+m81QQ967enBM6yfWHsbN3yLeTMnZ1dh9fjbHBmw8pQS10O7jWSoBmjcHZ2JjbmLp90HJworrkuH3Px/FcALJ23hsBp5rqcOj5lPAO96j4ZHRnLxOljOHBiG5hMhO89yNIFayzxDAZnBvj2tPTdRw+dpGPXVkQc3Wruu1PYM9DrkqdALgoUzMd0f/OeQFtWbWfi/HF0H9iJxSnsPvkq939/QN9OvviNH2y5T44dMpFbN36yHFPm2X3yi2fX9vL5awmYZn4R07TApPstvemy58lG1O2kE078uo5h0IT+NGpfn1QOqVg+c1Wiwbhc+XOSr2Ae5gYuAGDHmt2MmzOSTv3bsTJkTZLzSWKB44cT4D+NhIQE7t9/wO7d+zl9Now7d36mfZtP7J09eYOVL1+ey5cv06RJE5ydnSlcuDA9evz7F02mMr04cvSanDt3jpEjR7J3717LflYHDhwgICCAmTNn/uvN7fJmTLpJpvx7CaaEfz5I/tFTo+rxdQhy13X9uox6fNHeWXgjZDCk+eeD5H/y8OkTe2fhjeDwH/wBM7l6nKA2+Tq8bUj7zwfJP3pijLd3Ft4Ybzur734dvrx3w95ZeGP8/vC6vbOQbDwc08reWfhXUgdssGl6VpkZV7JkSfbt25corGLFihw+fPiVLz0QEREREREREZE3gMlo7xwka1YZjDMajWzatImwsDBiYmJwcHDA09OTSpUq0a5dO5yd3/yNzUVERERERERERF5mlcG4sWPHYjQa6du3L56engDExsayY8cORowYwdSpU62RrIiIiIiIiIiISLJmlcG4s2fPEh4enigsZ86clCxZkrp161ojSRERERERERERSQ6Mr/31BG8Uq2zg5uHhwaVLl5KEX7hwAXd3d2skKSIiIiIiIiIikuxZZWZcYGAgQ4cO5cmTJ2TKlAmAO3fu4OLioiWqIiIiIiIiIiKSYlllMK5QoULs2rWLyMhIYmNjMZlMeHl5kTVrVmskJyIiIiIiIiIi8p9glcG4P2XNmtUyANezZ08WLlxozeRERERERERERMTOTEajvbOQrFllz7i/Ehsba6ukREREREREREREkiWbDcaZTHqThoiIiIiIiIiIpGxWXab6okWLFtkqKRERERERERERsRejJmT9HZvNjPP09LRVUiIiIiIiIiIiIsmSVWbGzZkz528/9/HxsUayIiIiIiIiIiIiyZpVZsYlJCSwdOlSjHp7hoiIiIiIiIhIymI0/bf+bMwqM+P69+9PbGwsbm5udO/e3RpJiIiIiIiIiIiI/OdYbc+4ESNGkClTJmudXkRERERERERE5D/HaoNxHh4eNGrUyFqnFxERERERERER+c+xyjJVERERERERERFJoUx6h8Dfscpg3Pbt2//2c82YExERERERERGRlMgqg3GnT59m37591KpV6y8/12CciIiIiIiIiIikRFYZjJs0aRL37t2jRIkSNGvWzBpJiIiIiIiIiIhIcmQ02TsHyZrVXuAQEBDAb7/9Zq3Ti4iIiIiIiIiI/OdYbTDO09OTrl27Wuv0IiIiIiIiIiIi/zlWe5vqsWPHCA8PJzo6GgcHBzw9PalYsSLe3t7WSlJERERERERERCRZs8pgXEhICJcuXaJBgwZ4enoCEBsby5YtW7h48SLDhg2zRrIiIiIiIiIiImJnJu0Z97esMhi3d+9ewsLCcHBIvAq2Xr161KtXT4NxIiIiIiIiIiKSIlllzzgXFxeio6OThEdGRmIwGP4fe3cdHcX1/nH8HReckgSCpRRaoAVKgeJenOLuDoXgEBIIluAe3K24BXcLLsWlQEtLgRIIFCiWENn9/bF0IaX6+7K7afJ5nZNzsndH7vOcmZ3dO/fescQuRUREREREREREEjyL9Izz9/enadOm+Pj44OHhAcD9+/e5ceMGI0eOtMQuRUREREREREQkIdAw1b9kkca4YsWK0adPH3788UccHBzInDkzXl5e5MuXj9DQUIoUKWKJ3YqIiIiIiIiIiCRoFmmMGzduHJcuXSJbtmxs3boVf39/ChUqBMCKFSto2LChJXYrf+PJyxe2rkKi4GBvkdHdSU7A89O2rkKiUTd1HltXIVHY+fy6rauQaETFvbR1FUTisbOzs3UVEoXHMc9sXQWReJ7aW+TnbJITZzTYugoiSY5FPr3CwsIIDQ3F0dGR5s2b06ZNG5ydnalSpQpGo7oqioiIiIiIiIgkWgY18v4VizTGGY1G8x1IHx8fZs2aRevWrUmbNq3uTIqIiIiIiIiISJJlkfF2lStXpnnz5pw/fx6AHDlyEBISQo8ePbh586YldikiIiIiIiIiIpLgWaRnnK+vLwUKFCBZsmTmsgIFCrBu3Trmz59viV2KiIiIiIiIiIgkeBab8bJo0aJvlWXIkIEBAwZYapciIiIiIiIiImJrBj0v4K/osZAiIiIiIiIiIiJWosY4ERERERERERERK7HYMFUREREREREREUmCNEz1L6lnnIiIiIiIiIiIiJWoMU5ERERERERERMRK1BgnIiIiIiIiIiJiJZozTkRERERERERE3hmjUXPG/RX1jBMREREREREREbESNcaJiIiIiIiIiIhYiYapioiIiIiIiIjIu2PQMNW/op5xIiIiIiIiIiIiVqLGOBERERERERERESvRMFUREREREREREXl3NEz1L6lnnIiIiIiIiIiIiJWoMU5ERERERERERMRK1BgnIiIiIiIiIiJiJZozTkRERERERERE3hmj5oz7S+oZJyIiIiIiIiIiYiVqjBMREREREREREbESDVMVEREREREREZF3R8NU/5J6xomIiIiIiIiIiFiJGuNERERERERERESsRI1xIiIiIiIiIiIiVqLGuD8xZspQ2nVpDoC9vT0Dh/dl19F17D2xgSat6pmnUu+lAAAgAElEQVSX88mWhZWb5rHj8FpCd35Ntuw+ADg5OTJ3WQhb9q9k2PgB5uWz+GRi8ZoZVo0lIQgeEcCFbw9w4MhGDhzZyLxFIdjZ2TE02I8jJ7dx+PgWFi+bxnvp0gJQoGA+Dh3bzKFjm6lQsbR5O739OtO8ZQNbhWFzQcP9OXtpP/sObWDfoQ3MXTAJAL+Arhw5uY2DxzYzdeZoXFycAahUuSyHjm9h74FQPs3/iXk7EycPo1SZYjaJISGo36gGuw6uM/8dP7eTm/fPkc7jPVq2bcTOsDUcOL6JqbNG4+zsBECFymXYf3QjO8PWkO/Tj83bGhcylJKli9oqFJso1aISA3aOo/+OcXSY04fk76XEzt6OuoNbErhnAoP3h1Ci6Rfm5d1TJaPlpK702zKKwD0TKFS7pPm9ZmO/wn/bGNrP7oO9owMAbimT0XtdMI7OSWNa01FTBtOmc7N4Zem9vTh4fitp0qYylxUuXoC1uxazcd8yVm1bQN78puPQycmRWUsnsnHfMoLG9Tcvn9knIwtWT7NOEAlEvYY12Hlgrfnv6Nkd3Ig4SzqP95gxbxwHTmxm+/7VtG7fxLxOs1b12Xd0Ixt3LCVzlozm8sWrZpD9w2y2CMPmlMd3q3K18uw6uI4dYWtYtWE+WX0yA9CiTUO27VvFvmMbmTxzlPl680Wl0uw5sp5t+1aR943rzZhJQyhRuohNYkgIWrVvzN7jG9m6fxWTZ48mVeqU8d6ftWgCQaMDzK/LVyrNrsPr2LJ3JXk+zW0uHzVxMMVLF7ZavRMi5fJ/ExwSSMuvTJ9/yVMkY/zc4azbv4TQA8to7fv6ep4ydUpGThvCyl2L2HBwBdXrVTa/FzRpAKv3LGbSglE4vvr+kyJVCr7ePBunV58FSUXHTi04+c1OTp7cwcpVc/DweA+A9h2acfjIZk6d3s28eRNxdjb9vqlStTwnv9nJ4SObyf9ZHvN2pk4bSdmyxW0Sg/wJw3/sz8rUGPc7H+R4nyWhs6hWs4K5rEnLuryfLQuVS9SnVoVmtO7YxPwjaOLM4SxduJpKxesyafRMpi8cB0Cp8sW5eyeCamUakjFTBj7M+QEA/YN6MWLwROsHZmOfF/6Mtq26U6pYDUoVq0Hblt1p1qI++fJ/QpniNSleuBo/Xv+JYSNMF/7uvTrQo2sgdWq0IiCwBwCZMmWgTNnifL1olS1DsalChfPTvnVPypaoSdkSNWnXugfFS3xO7brVKFeyFiWLVCdFiuS072hqSO7Xvxt1vmxJ395D6NazAwD5P8tDipTJObD/iC1DsanVKzZSoWQdKpSsQ5WyDYi494ABfYfzeZH8tO3QlAY121K6SA1c3Vzo0LklAH0DfKlfsw3+vYPw7dkOgHz5PyFFyhQcDDtqy3CsKvMn71O+Q3XG1x3IiEp9uP/jXar3bkiJJhXw9MnAiIp9GFOjP2XaVCVrPtPnXvNxnXl89xdGV/NnatNh1B/SitTp0+KdMwspPVMzqoofT+8/JnepfABU792AHVNDiY2OtWWoFvdBDh8WrZtBlRoV4pXXalCNZZvm4JXB01zm5OTIpDkjCew1nBplmzB9wjzGTA8CoGS5Yty9E0GNsk3wzpyeHK+uNwFDezJ6yCTrBZQArFm5kYql6lKxVF2qlmvI/XsPCPQbTuDQ3jx//oIyRWrwZYUmlK1Qki8qmW70dOnRjkql6zJ31hJatWsMQLUaFfnuynW+v/aDLcOxGeXx3XF1dWHyzJG0b9GdSqXrsXP7PoJGBVCl+he07tCUxrXbUa5oTVzdXGj/VQsAevt3oVGttgzoO4wuPdoCv11vknMo7Jgtw7GZoiUK0albG5rUbk/VMg3Yt/sgoyYONr/fsWtrChX5LN46vfp1pknt9gT6Dadzd1Me8+b/mBQpk3M47LhV65+QKJf/f+/nyMrcNVOo+GV5c1mXfh24d+c+dco0o0nlNjRoWYe8BUw3wIeFBHIvPIKGFVrSoUFX/If1xCuDBzlyfYCHZzrql2/Bg4iHFCtramT37deBOSGLiImOsUl8tvBp/k/o3r0D5cvVpVChSlz//kcGDupNjZqV6NSpFdWrNaVggQq4urnStavp2AsM7En1ak3p0X0gvXt/BcBnBfKSMmUK9u07bMtwRP4VNcb9TvO2DVizbCNbNuwyl1WsVo7VyzcQFxfHk1+fsjl0B7XqV8MrvQfZcviwad0OAML2HMbd3Y2P8+Yk+mU0rm6uALi6uRITE0O5iiW5Fx7BlUvXbBKbrTg7O5M3X258u7fj4NFNLFo6lUyZMnDl2+8YNGA00dHRAJw5c9F8Nz36ZTRu7q64J3M3X5CCRgQwOHC0zeKwNWdnJ/LkzU2Xbm3Zf3gjC76eQsZMGbB3cMDFxRlXN1ecnJxwcXUh6qUppy+jo3Fzd8Pd3Z2YGFMehwT7MWTgGFuGkqD49mjLgwcP+XrhKuo3qsnMqQt5/PhXjEYj/XoOZc3KjQC8fBmNm5sr7u7uRL86JgcF9yF40DhbVt/qbl38kaFlehD1NBJHFydSpU/L80dPyVepEMdW78cQZyDyyXNObzpCoVolcU+VjI9K5mXrpDUAPL77kHG1Ann++Bmx0TE4uZju/jq7uRAbE0vGXFlJ4/0eF/eetmWYVtG0bQPWLd/Eto2vrzeeXun4okpp2jfuHm/ZmJhYSuatwrcXrgKmXm+PHz4GIDradGyC6Yd/THQMZSqU4N7dCK5c+s5K0SQ8Xbqbzu0lC1eT59PcrF25CYPBQExMDHt2HqBajYoAxMbE4uzijLu7GzExMbi6udLJtxUTxky3cQQJg/L4v7F3sMfOzo4UKVMAkCyZOy9fvqRuwy+ZPW0Rjx8/wWg04t8riLWrNgG/ndNuuLm7mb8DBQ7tzbBB420Wh63lyZebQ2HHuHvnHgDbN++hfKXSODk5UrREIcqUL87ShavjrRMdbfou7v5GHvsP6cWIwROsXv+ERLn8/2vUuh7rV2xh56Y95rLRgRMZP3QKAOk80+Hs7MSzp89ImTolRUp9zszx8wC4F36fplXb8evjJ8REx+Dsaurl5ebuSkx0DB/mzk56b08O7EpajUlnz1wkb54yPHnyFBcXF7y90/Pw4SOaNKnL5MlzePTI9J28e7cBLFu+Dnj9nTxZstfH4/Dh/RnQf6QtQxH516w2BujFixe4u7tba3f/b0P8TY09xUp9bi7LkNGL8J/vmV+H34kgZ+4cZMiYnoi79zEaXz+y9+6de6T39mLvjgNUrVmBzftWsHv7fn6+Fc64acG0buhrvWASiPQZPDkYdpSgweP4/rsf6dq9HUtXzqJ08RrmZVKlTomfvy8L5i0HYOzoaUycHIyjoxOBAcMpXaYYz54+5/Sp87YKw+bSZ/Di4IFjDBsynu+//xHfbm35evkMypWsRdi+I5y9tJ+YmBi+/+5HFs1fAcDQgWOZs2AiUZFR9Oo+iGYt6nMg7Ci3b92xcTQJQ9q0qeno24qKpU1Dz7N94EM6j/dYtmYWXhk8OX7kFMGDTT9+hg0ez8z544iKeolfjyE0aV6XQ2HHkmQuDbFx5K1YkCajOhIbHcuWCavIV/lzHoX/Yl7mUfhDvHNmxcMnPU8iHlGuXXVyl/kUJ2dH9szZTMSP4UT8EM71k1fx3zqaG2e/5+qhC3RZ3J8VgXNtGJ31BPmbGsWLlipkLou49wDf1n5/uHxsbBzveaRl/Z4lpEmbmh7tTT2JD+8/TpUaX7Bh31L2bAvj59vhjJk2lHaNulk+iAQqTdrUdPBtSeXS9QE488156jb8kpPHz+Ds4ky1LysQE2PqeTkyaBJrNi3k/v1f6Nl5AN16dWDhvOU8f/bCliEkCMrj/+7F80j8ewezfvsSHj18jIODA7WrNGP+sqmcPX2RJatn4pXek+NHTzF8iKlhY/jgCUyfO5aoqCj69QqicfO6HDpwjJ9vh9s4Gts5e/oirTo0IWOmDPx8O5wGTWri4uJM2nRpGTyiHy3qd6JJy/rx1hkxZCJT544hKvIl/XsH0ahZHY4cOJ6k8wjK5f9iZH/Td8LCJQvGK4+Li2PE1MFUqF6WvdvCuPH9TXLny8mDiAc079iYEuWK4uzixKLpy/jph1vcuH6TM8fPsWr3Ii6cvsyxAyeZuWISw/qNtUVYNhcbG0v1LysybdoooqOjCQ6eYB6uun7DIjKk9+TwkZMEDjA1tgUOGMmixVOIjHxJt679admqIfv3H+bWrZ9tHIn8ntFg/PuFkjCrNcY1bdqU0NBQa+3unbK3f7sDYVyc4Q/LAQxxcRiNRgJ6BJnLuvRqx+plG0j7XhpGTx4CwJRxs7n8qpdDYnbzp9s0qNvO/HpKyFz69PMlS9ZM3PzpNj7vZ2HpihkcO/oNc2Z9DcDVK99TtaJpmIujoyNbti+jaeNONGtRn2rVKxAefhf/vsPMveqSgps/3aZxvfbm11Mnz6O3XxeaNq9HlqyZ+OTDEkRHRzNlxiiCRvgT0DeYY0e/oWJZU0NTqtQpadayPjWrNqNH704ULJSPq1euEzwkafXselOzVg3YsXUvt34yXbwdnRwpVbYorZr48jIqmpAZIwgY2J1BAaM4fvQUVcs3AiBVqpQ0aVGPutVb0q1XBz4rlJdrV64zYmjSGYJ+fuc3nN/5DcUalaPL4v4YYuPeWsYQZ8DB0ZF0WbyIevaCifUGkS6rFz1XDyXix3BuXfyRzeNXsnn8SgAK1SrBT+evE/UsktZTuuPs6kzYou1cOXTB2uElWL/cf0jJvFXJnfcjFq2dwfeVWnHjh5sM6DnMvMxXvdqydtlG0ryXmpEhgwCYOn6uuVddUtCsVX12bt3HrZumczsocCwDg/uw48AaIu7e58D+IxT8PD8AWzftYusmU+/ErD6ZKVAoH+NGTmXoCH8yZ83IscPfMHv6IpvFYkvK4/8uZ64c9OzbiXJFa/LTjVu06dCU2Ysm4eToSKkyRWnTrCsvo14ycfoI+gV2Y0j/0Zw4dprqFUzfgVKlSknj5nWo/2VrfHu257OCefnu6nVGBiWtIegnjp4iZMxMZi+ehMFoYNXS9Tx6+JjFq2YwtP9oIu49eGudk8dOU7NCUwBSpkpBw+Z1aFSjDV16tiN/gbx8d+06o4NCrB2KzSmXltHfdyjBfmOYMG8EnXq34cj+E2TKmpHnT5/TskZHMvtkYuGGGfz04y2+PX+VqaNnM3X0bACq1a3EpbPf8vzZc0bPDMLNzZVl81Zz7MBJG0dlPZs37WTzpp20at2IDRsXExcXR7lyJWnYoD1RUS+ZM2c8Q4b0xc8viCNHTlK6VC0AUqdOSatWjahcqRF9+nbm88/zc+Xb7xk0KOmOppL/DosMU82TJw+5cuUiV65c5MyZk1y5cvHtt9+a//+vuXP7Lp5e6cyv02fw4G74Pe7cDsfDM128Zb0yeBJ+JyJemXfG9JQsW5SVX4fSo18n5s9YwpB+oxg84o97PyQ2H3/8EQ0b1YpXZmdnGtJSolQRdu5dzfKl6+jVfdAfrt+pc0vWrt1M5IsoOndtQ5OGHU138hrVtEb1E4zcH39E/d/FbGcHdepVZ82qjTx79pzo6BgWL1hJiZJvT6YbENiDSeNmkimzN6VKF6VZo69ImzZ1knv4wJtq1KnMyqWvbxLcuxvBts17ePb0OTExMaxdtYkChT59az2/AV2ZPGE2GTNloETpIrRq7EvatKkpUSrxT6ydLqsX2Qp+ZH59dNU+0mb04PG9R6T0TG0uT50+LY/v/sKv9x4CcHxNGAAPfrrH9ZNXyfpp9njbdUnmSulWldkxNZSybapyce9p5vtOou6gllaIKuFLniIZFaqWMb++fP4qVy59x4e54+cxQ0YvSpQpzKol6+nm15EFM5cS5D+GgSP6WLnGtlWjdpV453bylMkZPngC5YvVonGd9hgMRm78cPOt9QYP9yNo4FhKlC5CsuTutGnalTLli+PzfhZrVj/BUB7/d6XLF+fk8TP8dOMWAAvnLuejXNmJjolh+5bfrjexrFu1mQKF8r21ft/+vkyZMAfvTBkoUaowbZp2JU3a1BQvlbQmzU+W3J1jR76hWrmGfFm+Mds27SJlqhSkTJWCwOA+bN2/iqat6lO9ViVGTxry1vp9+vsybeJcvDNloHipwrRr1o00aZJeHkG5fNeKlSmMx6vfiZEvItm2fhe58nzE/Xv3AdiwcgsAt27c5syJ8+TJnzve+u7J3GnStj5zQhbSrH1DDu4+Qt+OA/EL7mHdQGwkW7asFC36uqfh4kWryJIlIy+jXrJp4w6ePn1GTEwMy1eE8nnhz95af+Cg3owdO43Mmb0pW6Y4Deq3J+17qSmThB9UJ/8dFmmMW7lyJZ9++ikhISFcuXLF3BD32///Nbu27ad+05o4ODiQImVyqteuxM6t+7kbHsFPN25RvXYlAEqWLYrBYODq5fhz9AQM7cmoIZMwGo04OzsTExOLwWjE1d3VFuFYncFoYNTYgWTJmgmAtu2bcvniVTJlzsCSZdP5qn1fpk6e94frenl5UP3LisybvRR7e9O8K0ajEYPBiFsSyd9vDAYDI0cHmvPYul0TLl26yskTp6leoyIODqYnMVWrUZFTJ8/FW/fjT3KSObM327ftNR2DsTHmbbq7Ja08/iZVqpS8/34WTh4/ay7bvGEnX9ashKurCwBVqpXn7On4vbJyf/IRmbJ4s3PbPpxdnImN+S2XSeOYTOWZhtZTupMsjWn+o0K1SnLn2i3ObT9B0fplsXewxy2lOwW+LMb5nSf55fZ9bl74gcJ1TZO8p0iXimwFPuTm+fgTulftXo+9c7cQHfkSR2cnDLGmHsZObi5WjzEhMhgMjAgZxGefm36sZ/8oG9lyZOXcqYvxlus3tAdjhk42XW9cfrveGMxzmCYFqVKlxOf9zHxz4vW53aJ1A/r0N00Tkc7jPZq0qEfomi3x1vuiUmnu3Y3g0oUruLg4ExtrGn5pNIJrEjwOlcd348K5yxQpXpB0r54OWLlaOW799DNLFqyiWs2K5utN5WrlOHc6/vmc6+OPyJjZm13b9+Pi/DqXBoPBPE9kUuGV3pOVG+eTPEUyALr16ciSBasomrciVcs0oGqZBixduJrN63fQr8eQeOvm+vhDMmbyZvf2/ebv4WDKY1L6bPyNcvluVaxRnk69TQ8WcHJ2olKN8hw/dIqfb4Zz+dwVajSsCkDadGnIVzAPl85dibf+V33asnjWciJfROHk4kRsTGySOsfTp/dk0eIpvPdeGgAaNarF5UvXmD9/ObXrVDV/Rn75ZUVOnYr/+yZPnlxkyZKRrVt24+LiTIz5M9KIm7ubdQORP2Yw/rf+rMwiw1Rz587NggULGDVqFPv27SMwMBA7OztL7Moqli5YTVafTGwJW4mzsxPLFq3hxJFTAHRvH8CIiQPp0qsd0S+j8W3rF28OueKlChP5IpKzp0w/6OdO/5oREwIBGBM8xfrB2MC3l7+jX58gVqyejb2DPXd+vku71j2YPH0kdnZ2DA7qw+AgU6+Nn366TfPGnc3rDh3Wj+CgCcTFxfH06TO2btrFkRNbuX//F1o07WKrkGziyrffEeAXzNKVM3FwcODOz3fp0KYXD+7/QvDIAI6c3MrLl9FcungFv95D460bNNwfv95DAPj28jUe3H9I2JGN/HTjNnt2H7RBNLbnky0L9+49MP+4AVOPhdRpUrFj/xrsHey5cO4yQwLjP+xi8DA/AnqbhqBfufwdDx48ZM/hUG7euM2+3YesGoMtXD95hR3TQum+YjCGuDh+vfeIOe3H8ij8F9Jl9SJg2xgcnBw5vGw33x833XyZ03EcDYLaUqLpF9jZ27Nt8lpunr9u3qbXBxnxzpmF0BFLADi8bDetQrpSybcOO6ass0mcCc2L55F0btmHAcN64ejkSPTLGHp3ND2l7TfFSn1O5ItIcwPd/OlLCB4/AIDxw6bapN628Efn9pSJc5g8cxR7jqzHDjsmjJ7GuTOvGz6cnZ3o3qcTzet3AiBs72FatG3EroPrOP3NOa5cTnoPwlAe340jB08wc8oCVm9aQEx0DI8f/UqbZl35/tqPpE6Tiq37VuFgb8+F898SNDD+fFGDgvvQv69pCPqVb7/jwf2H7Dq4jp9u3GL/nqQ1yfsP399gRsg8Nuxcip29Pd8cO83Afv9ssvbA4D4E9h0OwNVvv+OXBw/ZfmANN3+6TVgSyyMol+/a+CGTCRzjx7r9SzAaYe+2AyydY5p+o0cbfwaM7EP9FrWxt7Nn1oT5XDr7umPK+zmykj1nNvMDINYsXs+oGUPp0LMVsycutEU4VnfkyEnGjJnG9u0riI2LIzz8Hg0btufWrTukSZuaQ4c34+Bgz7mzlwjwHx5v3ZEjB9Cjx0AALl26yv2IBxw/vo0fb9xi184wW4Qj8q/YGd9sObKAPXv2MHPmTH799Vd27tz5/9pGtnT533GtkqZHUU9tXYVEweFP5gqUf8fJ3mpTViZ6dVPnsXUVEoWdz6///ULyjzyPjbR1FUTi+S/fFE5IHOz0HUgSllROyWxdhUTh+pOk9TAOS3r+4oatq5BgPG5c1tZV+FdSL99n1f1Z/Ndw+fLlyZcvH/v377f0rkRERERERERERBI0izTGGQwGVq1axbZt27h37x729vZ4enry5MkTmjdvjpOTkyV2KyIiIiIiIiIitmawdQUSNos0xg0ePBiDwUDXrl3x9PQEICIigg0bNhAQEMC4ceMssVsREREREREREZEEzSKNcSdPnmT79u3xyrJkyULBggWpVq2aJXYpIiIiIiIiIiKS4FmkMS558uScP3+evHnzxis/c+YM7u7ultiliIiIiIiIiIgkAEaDRZ8V+p9nkca44OBg/Pz8ePnyJR4eHgDcv38fFxcXDVEVEREREREREZEkyyKNcbly5WLTpk3cuXOHiIgIjEYjXl5eeHt7W2J3IiIiIiIiIiIi/wn2lty4t7c3n376Kfnz52fo0KGW3JWIiIiIiIiIiEiCZ5GecX8kIiLCWrsSERERERERERFbMdi6AgmbRXvGvclo1OR9IiIiIiIiIiKStFmtMW727NnW2pWIiIiIiIiIiEiCZLVhqp6entbalYiIiIiIiIiI2IjRoNGRf8UijXFTp079y/d9fX0tsVsREREREREREZEEzSLDVOPi4pg3bx4Gg2bsExERERERERER+Y1FesZ1796diIgI3NzcaN++vSV2ISIiIiIiIiIiCZH6Zv0liz3AISAgAA8PD0ttXkRERERERERE5D/HYo1xyZMnp1atWpbavIiIiIiIiIiIyH+OxRrjREREREREREREJD6LzBm3fv36v3xfPeZERERERERERBIno+aM+0sWaYw7duwYO3bsoHLlyn/4vhrjREREREREREQkKbJIY9yoUaN4/PgxBQoUoF69epbYhYiIiIiIiIiIyH+OxeaMCwoK4tdff7XU5kVEREREREREJCEy/Mf+rMxijXGenp60bdvWUpsXERERERERERH5z7HIMFWAgwcPsn37du7evYu9vT2enp6UKlWKSpUqWWqXIiIiIiIiIiIiCZpFGuNCQkI4f/48NWrUwNPTE4CIiAjWrFnD2bNn6devnyV2KyIiIiIiIiIikqBZpDFu69atbNu2DXv7+KNgq1evTvXq1dUYJyIiIiIiIiKSSBltMA/bf4lF5oxzcXHh7t27b5XfuXMHZ2dnS+xSREREREREREQkwbNIzzh/f3+aNm2Kj48PHh4eANy/f58bN24wcuRIS+xSREREREREREQkwbNIY1yxYsXo06cPP/74Iw4ODmTOnBkvLy/y5ctHaGgoRYoUscRuRURERERERETE1jRM9S9ZpDFu3LhxXLp0iWzZsrF161b8/f0pVKgQACtWrKBhw4aW2K38jXRuqWxdhUTBxd7J1lVIFOI0icA7s/vFD7auQqJwpksOW1ch0ag4556tq5AoPI59busqJBqOdg62rkKikNzB1dZVSBTssbN1FRINd3tNgfQu3LDTdVvE2izSGBcWFkZoaCiOjo40b96cNm3a4OzsTJUqVTAajZbYpYiIiIiIiIiISIJnkcY4o9GInZ3pjo+Pjw+zZs2idevWpE2b1lwuIiIiIiIiIiKJjwZC/TWLPE21cuXKNG/enPPnzwOQI0cOQkJC6NGjBzdv3rTELkVERERERERERBI8i/SM8/X1pUCBAiRLlsxcVqBAAdatW8f8+fMtsUsREREREREREZEEzyKNcQBFixZ9qyxDhgwMGDDAUrsUERERERERERFJ0CzWGCciIiIiIiIiIkmP5oz7axaZM05ERERERERERETepsY4ERERERERERERK9EwVREREREREREReWc0TPWvqWeciIiIiIiIiIiIlagxTkRERERERERExErUGCciIiIiIiIiImIlmjNORERERERERETeHaOdrWuQoKlnnIiIiIiIiIiIiJWoMU5ERERERERERMRKNExVRERERERERETeGaPB1jVI2NQzTkRERERERERExErUGCciIiIiIiIiImIlGqYqIiIiIiIiIiLvjNGgp6n+FfWMExERERERERERsRI1xomIiIiIiIiIiFiJGuNERERERERERESsRHPGiYiIiIiIiIjIO2M02LoGCZt6xomIiIiIiIiIiFiJGuNERERERERERESsRMNURURERERERETknTEa7WxdhQRNPeNERERERERERESsRI1xIiIiIiIiIiIiVqLGuD8xZspQ2nVpDoC9vT0Dh/dl19F17D2xgSat6pmX88mWhZWb5rHj8FpCd35Ntuw+ADg5OTJ3WQhb9q9k2PgB5uWz+GRi8ZoZVo3FlkZPGULbzs3jlaX39uLg+W2kSZvaXJY1W2aWbZrLtkOrWbNjUbw8zl46iY37lhM8rr95+Sw+mVi4eppVYkgohoUMpNVXTQBIniIZE+aOIDRsKerp010AACAASURBVBsOLKeNb/O3lq/duDpTvx5nfu3o5Mi0JeNYu/drBo3tZy7PnDUjc1ZNtnwACcSIyYNo3bkpAC6uLgybFMiG/cvYdGAFwyYF4uLqAsCHubOzdPMc1u1dwto9X1OyXFHzNoaHDCR031KmLBqLo6MDAClTpWD51nk4OTtZPygbGDl5MG06NwNMeRw+aSAb9y9n04GVDJ800JzH3xQvU5jQvUvjlY0IGcT6fUuZ+rs8rkgCeXTMVxLXTiPNf27dQ3Af+DUkS4VLvW64+Y7HteMIHD+vZF7HziMjrm0Gm9bpOBKHD/Ka3nBwwKVJX1w7jcK5etvXy6fxxLV5/9/vOtEaMNGPxh0bADBs9mAW7pxt/tvx7UZGLxgGQPEKRdl2cX28992TuQHQf4IfC3fNYeS8IBxeHZMpUiVn1sYpif6YfNPwkIG0+ur152TwpEBC9y9lQ9hygt/4nPwodw6WbJrN+rBlLNk8h8IlCpi3MWzSQNbtXcLkhWPind9Lt8xNMrkMChlAi68av1U+Yd4IAkb0Mr9O815qpi0bz7oDS1m7fwn5Cn7yehuTBrBqzyImLhhlzmOKVClYvHl2kskj/PPz+7NinzJv6wwW7prD7E1TyfVpTsD0HWjMouEs3DWHvqN7mrebMas3k5aPsX5ANtJ/oh+NOtYHIHj2YObvnGX+2/btBkYuCMYnR9Z45Qt3z+Hgz3soVaUEjk6OjF40nAW7ZtPnjTx6Z83AhCSSx3K1yzJjxzSmb5/KxNDx5MibA4BGvg2Zu282Cw7Oo1nPpubl03qlZfiSYczYMY2Zu6ZTrnZZ83u9x/dkxo5pDJ470HzNSZ4qORPXT0hS5/dvqlWvwO3wc2+VjxwdyKo1c82vCxbMx5HjWzlyfCsVK5Uxl/f160KLlg2sUVWRd0KNcb/zQY73WRI6i2o1K5jLmrSsy/vZslC5RH1qVWhG645NyJv/YwAmzhzO0oWrqVS8LpNGz2T6QlPjR6nyxbl7J4JqZRqSMVMGPsz5AQD9g3oxYvBE6wdmZR/k8GHxuplUqVEhXnmtBtVYvmku6TN4xisfP2MYyxesoUqJ+kweM4upC0wX9JLlinH3zj1qlG2Md+YM5HiVR/+hPRk1ZJJ1grGxbDl8mLd2KpVqlDeXdfXvyL3wCGqXbkqjyq1p2LKO+ct7ytQpGTTGj4ARvbF7Y5h+iXJFuXcngrrlmuOdKT3Zc2YDoM/Qbowbkvgb47Ll8GHB2ulUrvGFuaxTj9Y4OjpSq2xTapZpgqurCx26twRgzPShzJ+2hDrlmuHfZTAT547AycmRD3Nnx8MrHbXLNuVBxC+UKGtqpOvm35FZExcQEx1jk/isJVsOHxb+QR4dHB2oWbYJNcs0fpXHVoDph3x3/05MnDMSBwcH8zq/5bHW7/LY3b8TM5NAHmPPHSRqZoDpb3YgxmePid66EOcKTTBGRxE5rQ9RcwfikCMfDh/mB8ClWhtiz4QRNTOA6A2zcKnfHeztccj+KcYnD4ma6Y9dag/sPDMB4FypGdE7l9gyTKvImj0Lk1eNp9yXZcxlgR2G0qpiB1pV7MCovuN59uQ54weEAJCnwMcsn7XK/H6rih148TySD3Jl4z3PtLSq0J6H9x9SuEwhANr3bcOiyUsT/TEJpvN7/tppVHrj/O7YoxUODg7UKduM2mWb4urqQvtups/JKYvGsGbpRmqVbkKP1v0YOLof6TzSvjq/36NOuWY8iPiF4mWLANC1X0dmT0r85/f7ObIyZ80UKn5Z/q33WnVpSv4i+eKVBYzszelj56hTqin9uwxl3JzhuLq5kCPXB6TzfI8G5VvyS8QvFCtbGADffu2ZG7Iw0ecR/t357ejkSNCMgYzqO55WFdqzMGQJgyYHAFCkzOfcD79PqwrtSZ/Ri/c/8gHAd1AnpgbPtEFk1pU1exYmrRpH2S9Lm8sGdhhKm4odaVOxI2P6TuDZk+dMHDCZG9/9ZC5vU7EjJw+cYlfoHg5sO0ThMoWICL9P6wodSJ/R8408fsW0JJDHTNky0m5AOwY0D6RzZV+WTV7BoNmBFCpbiJLVStKlalc6fNGJfMXyUap6SQBa92vF1TNX+apSFwY0H0jXEb6k8UjD+zl9SOuZlq8qdeFRxCMKljbdzGjZpzkrpqxIEuf3mz74wIfhIwKwt4/fPFG7TlUaNqwZr6xHr0509+1PrRot6B9oahTOlMmbMmWLs3jRKqvVWf6e0fDf+rM2PcDhd5q3bcCaZRu5c/uuuaxitXIsX7yWuLg4nvz6lM2hO6hVvxr3wiPIlsOHTet2ABC25zDBY/vzcd6cRL+MxtXNFQBXN1diYmIoV7Ek98IjuHLpmk1is6ambRuwdvlGwn9+nUdPr3RUqFKG9o27se3wGnO5V3oPPsjhw+ZQUx4P7DnC0DEB5M6bk+jomNd5dHUhJjqGshVKcu9uBFcufWfdoGykUeu6rF++mfDb98xlIwdMMDdspPNMh7OLE0+fPAOgco3y3L/3C+OHTKFUhWLmdd48Jl1e5bJ0heJEhN/n6uXvrRiRbTRpU4/QFZviHZMnj53hzs1wjEYjRqORby9eI/tHpkbKuuVbEBcXB0Bmn0w8+fUZcXEGol9G4+LiDIC7uyvRMTF89HEO0nt7sX/XIesHZmVN29Rn3YpNhP/8+nj85tgZfn4jj5cvXiXHqzyWKFsEN3c3BvQIpqtfR/M6MS9jzHl0c3cjJonl8U1OJWpgfP6E2FN7cCtciZdbF4DRCHFxxF07g0PuwsRdOwN29uCazLSSiyvEvvqiHhsDTqZc2jk6Q1wsDh/mx/jkEYZ7N20UlfXUbVWLLSu3c++NY/I3jk6OBE7qR8jgaUTcuQ/AJwU/JjY2ltJVS/EyMopZo+dz7vh5YqJjcH51TLq6uxEbHUv23Nnw9PbgyO5jVo3JVhq3rkfo8s2Ev/Ed6JujZ/n51p3Xn5MXrpL9o2ykTpuK9Bm92LhqKwAP7j/k2uXvKVGuKGe/uWDOpZu7GzHRsXyUOwfpM3oRtuuwTWKzpkat67JhxZZ41xuAQsU/o3jZIqxZtJ6UqVMA4ODgQKkvijMyYDwAVy99x08/3qJ42SJ8f/VHnF3j5/HD3Nnx8vbiwK4j1g3KRv7t+V2zQAPiYk3Xbu8sGfj10RMAoqOjcXnjO1BsTCzFvijC/bsP+P7yD1aKxnZqt6rJtpXbifg54q33HJ0cGTCpH5PfyONv8n6ehzLVStGyfDsAYqJjcHUz9Yz9fR6vJ4E8xkTHMMlvEg8jHgFw7fw10nikoVT1Euxbv4+XkS8B2LlqJ+XqlOPA5oPY29vjnsIdMOUsLjYOg8FATHQMTq8+J13cXYmJiSVbrvfx8Pbg+J4TtgnQRtzcXJkzbwIB/sOZt+B1Z4sPP/qA7j07MnrUFMp/UcpcHh0djZu7G8nc3YmJjgZg2IgABgWOsnrdRf4X6hn3O0P8R7N+9ZZ4ZRkyesX74Rl+J4IM3p5kyJieiLv3MRqN5vfu3rlHem8vDu0/RkxMDJv3reD44W/4+VY4XXq1Y/yIpDG0Msh/DBtWb41XFnHvAV1a9+X7az/GK8+Q0Yt7dx/Ez2N4BOkzeHJ4/zFiYmLZuG8Zxw+f4s7tcDr3asvEEdOtEkdCMKL/eDat2f5WeVxcHKOmDWF92FJOHjnNje9NP7pXLQ5lxvh5REW9jLf80bATxMTEsmbPYr45cpo7t+/SoWdrpoyaZZU4bG1YwDg2rt4Wr+zI/uPc+MGUN+9M6WnRoRE7Nu4BMDfE7TixjskLRjN3ymIMBgM3rt/k9PFzrNu7hMjIKI6GncBvSDfGDAmxbkA2Ehww9q08Hv5dHlt2aMz2V3ncsy2MUYMm8uujX+Ot8+P1nzh1/Cyhe5cSFRnFkbAT+A3pzugk0uPVzD0FTkWrEr19MQBxt7/HMW9JsHcAZxcccxfGLrlpSP/LrQtwLlkTt15TcW0xgJdb5oHBQNwPFyAuFtdOI4m7cRnj4wc4lapN9N6kcXd4QuBkdqzd9YfvVW9clQf3fuHA9tcNvE8ePWHdwg20rdKJmSPnMnLeUDwypOPm9VucP3mRhTtnExUZxcmDp/Ad2IkpQUlnaonh/cexac3vPifDjvPTD7cAyJApPc07NGLHpj08fvgrP9+8Q82G1QDIlNWbAkU+JZ1XOm5cv8mZE+dYu+droiKjOHrgBH2GdGXs4KTxOTmy/wQ2/+667eGVDr/gHgR0HkKc4fXt99RpU2Fvb8ejXx6byyLu3Mcrgyc/Xb/JmePnWbl7IVGRURw7cJJeg30ZnwR6s//m357fcbFxpEmXhvXfrKJLYEeWTl8BwMkDp4iNjmHhztmcOXqWu7fv0ap7M+aMmW+VOGxtUuAUdqzd/YfvVW9chQf3HnBw+9sN5V0GdmTO6Pm8ePYC+C2PsczfOYszR89x9/Y9WnRvmmTyeO92BCf2njS/7jioA8d2HSetZ1ruhz8wlz8If0C69OkAWDBqIUUrFGHZN0uYs3cWX09Ywq+//MrtH37m0slLTN8+lZeRLzlz8AztA9sxO3iO1eOytZApw5k/fzmXLl4xlyVL5s7suRP4qmNfnj57Hm/50aOm0H9AD+bOn8iA/iMpU7Y4z54959Sp89auusj/xCI94yZNmkSPHj148uQJQUFBHDhwACcnJ7744gv69u1L8uTJLbFbi/l9d1mAuDjDH5YDGOLiMBqNBPQIMpd16dWO1cs2kPa9NIyePASAKeNmc/nCVYvU+b/E7s/yaDBgNBoZ0DPYXNa5V1vWLNtAmvdSMzJkMADTxs9Jsnn07zKEoX1HM2n+SL7q3YZpY+f+6bJGo5HBvUaYX3fo2ZrQ5ZtInTY1wZNM8xrOGD+fKxcTf8/N38udNydTFo5h6bzVb/XKqvR5HTJm8WbJxllcv/Yjxw99Q8iomYSMMg3H+LJeZS6cucyzp88ZP2sYrm6uLJ23iiNhSeuuJsDHeXMyZeFYls5b9Y96t8XPYxUumvM4HDc3V5bMW5no8+hUoByxV09hfGzqjRC9cwnOFZvi1mkkxqePibt+AfvMOcDRCdd63Xi5fgZx185gnyk7ro37EvnzdYxPHhK98fWXd6dStYk9sx879xQ41zT1RowJW4fh7g1bhGhTDdvXZYzfhHhl/dsPNv9//uRFLnxzmUIlC7J11XbmjJlv/lFZsc4XfHvuKs+fvmDo9EBc3VxZMz+UkwdPWTWGhCJ33pxMXjCaZfNXm3u3+bboS5/B3WjRsRFXL31H2O7D5qFVk0fNYvKrmz3V61bm4tlvefbsOWNnDcPNzYWlc1dz9EDiPr9/4+jowOiZQYwdGMKDiF/ivfdn3yXjDKYbQtNGz2ba6NkAVKtbiUtnv+X5sxeMnhmEq5sLy+et4diBk3+4jcTuj85vgEcPHlGrYAM+/CQHISvH0eHLLtz64Taj+o43L9OyezM2r9hGqrSpCBjvB8CCiYv57lLiHynwew3a1/vDPH5SMDep0qZiV+gec5nRaGT0G3ls0b0pW1ZsJ3XaVASM7wvAwolfJ/o8uri50GdCbzy8PRjQPJABM96en9XwqtG93xQ/Vs9cw+avt+Dt483Y1aO5cuYKV89eY9HYxSwaa7oZV652Wa6dv8bzpy8ImOaPi5sLGxds5PTBM1aNzdratW9GbGwcSxavJkuWjObyqdNHMXvmIr69fI38n+WJt87VK99TuWJDABwdHdm2YzmNG3WieYsGVP+yAnfu3KNf3yCiX/WaE9sxGuz+fqEkzCI948LCwgAIDg7G29ub3bt3s2XLFjw8POjXr9/frJ3w3Ll9F0+vdObX6TN4cDf8Hnduh+PhmS7esl4ZPAm/E78LuHfG9JQsW5SVX4fSo18n5s9YwpB+oxg8ws8q9U/owm/fxcPzvXhlXuk9uHsn/pCEDBnTU6JMEVYtWU93v04smLmEIP/RBI7oa83qJgjFyhTG49UxGfkikq2hu8iVN+c/Xj99Ri+Klf6ctUs20sWvHYtmLmd4wHgChvf6+5UTmaq1KjBv9RQmDJvG7JCFgOnBIVVrVcDu1aR7P9+8w9EDJ8mV58N467onc6dp2wbMmrSAFh0aEbb7ML06DCAgOKnmcSoThk1l1qs8/lPJkrnTrG0DZk6aT8sOjQnbfYieHfoTENzbMpVNQBw+LkrsmTDzazsXN6J3LSNyuh9RX48AowHjw3vYe2YGJ2fTcFXAcPt7DPdvY58pe7zt2aV6D4cP8hB7eh/OZesRc3QL0VsX4FylpVXjSghyfJwdBwcHzhx9PRl08pTJaNG1Sbzl7OwgNjY2Xpl7Mjfqta7NopClNGxflyN7jjPwqyC6D+1ilbonNFVqVWDuqslMHD6NOSGLzOV29nb4tuhD7TJN8e8yBE+vdNy8cTveuu7J3Gnarj6zJy2geYdGHNh1mN4dAvEP7vn73SRaufPlImOWDPQe2pWVuxdSv0UtKtYsz+Dx/jx8YBruliJVCvPynhnSce93wwXdk7nTuG095oYsomn7BhzcfQS/jgPxC+5u1VgSij86v5OlSEapyiXMr69d/I7vL1/ng5zvx1vXy9uTz0sVZNOyrbTt3YqVs1czIXAyPYN9rVb/hMKUR3vOHn170vxyX5Zl+5qd8UauvMnT25NCpQqyedlW2vRuycrZa5gYOIXuiTyPHt4eTFo/AYPBgF/Dfjx/8pyInyNI65nGvMx76dPxIPwBKdOk5ONCudm6zNTj+M6NO5w+eIY8heM3Lrklc6Nm6xosm7yCOu1qcWLPCUZ0HkmnwR1J7Jo2q8tnBfJw6Ohm1qybj5ubK2fP76V2nap09m3DoaObGRDYk6LFCrFm3ds9ML/q0oq1azYT+SIS365taNSgAz/fvkPDRrVsEI3Iv2PRYarXrl2jV69epEyZktSpU+Pr68uNGzcsuUuL2LVtP/Wb1sTBwYEUKZNTvXYldm7dz93wCH66cYvqtU1PuytZtigGg4Grl+PPZRbw6mEDRqMRZ2dnYmJiMRiNuLq72iKcBOdueAQ3b9ymWq2KAJQoWxSjwfjWPGb+Q3swZmiIKY8uTsS+yqObW9LLY+Wa5fmqj+mpiU7OTlSqUZ7jh775x+v3GdyVCcFTzcdkbGwsBoPBPKdcUlGxejn6D+9Nuwbd2PJq7keAmJhYugV0ompt0zHp4ZWOwsULcPJI/LuTXfq2Y9HMZUS+iMLZxdl0TCbBPFaqXo4Bw/vQrkFXNr+Rx3+qS9/2LPyDPLq5ufz9yv9lrsmwT+uF4dbr3qiOBb/AuazpSXckS4VjgXLEXjiM4eFd7FzdTb3kMD0p1T5dRgzhN+Jt0rliM6J3LTPNOefgCIY40/+v5pRLSvIXzcfpw/HP2RfPIqnTshZlqpom1s7xcXZyf5qT4/vi99Bq3aslK+esJioyCidn0/XGaDDiktiPyT9QsXo5Aob3on3DbmxZtzPee0PGBVC+imlC+E8L5iF7zg849rvebp37mG74RL6IwtnZ6fX1Jgl9Bzp/6iKVCtSm4RetaPhFK1YvXs/ODXsY2nsUcXFxHNx9hPrNTT8cc+T6gGwfvs83R07H20anPm34etaK331OGpPc9eY3f3R+G+LiCBjflzwFTQ9Ze/9DH7Jmz8KlM9/GW67LoE5MHz7r1Xcg0zFpNBjMc8olJZ8Wzcvpw2f/9L1Th/68V1aXQR2ZMXw2RqPR9Dn5Ko+uifhzMkXq5IxbPYZD2w4zsssooqNMPa+O7jxGudplcXFzwcnZiYr1v+DIjqM8efSEB+EPKFnNdM1JmSYleT7/hCtnrsTbbrOeTVk3J5SXkS9f5TIuyVxzypauTZFCVShRtDr16rQhMjKKT/OWI3WK7JQoWp0SRaszfNhEjh45Sb06beKt65Xegy+/rMic2Uuwt7fHzs4Oo9GIwWjEPQldY+S/yyLDVO/fv8/WrVvx8vLiwoUL5Mljav0/f/48Li7/vQ+VpQtWk9UnE1vCVuLs7MSyRWs4ccQ0TKV7+wBGTBxIl17tiH4ZjW9bv3h3kIqXKkzki0jOnroAwNzpXzNiQiAAY4KnWD+YBKpHhwCGTwikc6+2vHwZTdd2/eLlsVipz1/l8SIA86YvIXi8KY/jhiW9PI4dPJlBY/sRGrYUo9HI3m0HWDJ75T9at0ipQkS+iOL8qUsALJqxjCHjTE8bmzgsacxp+JtegZ2xs7MjeOIAc9mZE+cI9h9L11Z+DBrlR1vf5hgNBsYOncKlc6+/0GfL4cOHubIz9tXcPasWhTJ2ZjCderZh5sSkMXfKb3oGdnmVx0Bz2ekT5wj2H/O365ry+IF5zr2Vi9YxbmYwnXq2ZUYiz6N9Wi+Mzx6bGsxeiTm4AZc6nXHrPAawI3r/Wgx3TJNiR62YgHPlltg5OmE0xPFy81yMj173xLbP9gnG6CgMt003MmKObsHly/YARO9ebr3AEohM72eM9+AbMA0b8m8TSM9hXWnbuxVxcXEM+irYPMk7mJ46+EHO981PBtywZDNDpg6gVfdmLApJ/E+n/b0eAzpjhx1BE978nDzPsICxDOkzkqAJA/iqT1tePI+kWys/Il9EmZf77fweN/TV5+TiUMbMCKZjz9bMSuTn978x3H8cQyYEsHb/EtP0HL5BPHv6eo6k93NkJUfOD5gwdCoAaxavZ+SMIbTv2Yo5ExfaqNa29Ufnd+SLKALaDqT70C44OjkS/TKGIb7D483lVbDkZ0S9iOLSadP1fPns1fiNNvVmnznyz6f6SKwyvZ8p3gNb4r+Xkbt/8l6BV3m8/CqPK+PlMfHOeVa9eXU8MnpQvHIxild+/ZC0fo0COLztCFM2heDo7MjRncfYvcY0R9+QNkPpHPwVTbs1xmA0sHLaKi6euGReN3P2zPjk9GHOMNPxt2XJNvyn+tGkWyOWTU561+5/I3iYP0FDxxMXF8fTp8/YvHkXx05u4/79X2jepLOtqyeY7gfLn7Mz/lnf4//B+vXruXjxIhcuXMDT05MpU6awcOFC5s6dS0hICAUKFPhX28uWLv+7rmKS5GCn53W8Cy72TrauQqIQZ4vnRydSRnSlexdOdc7+9wvJP1JxzttPPpR/73Hs879fSP4RRzsHW1chUUjuoN4m74I9mkfpXXG3T3o9vy3h6MOkOf+2JTx5nvifLPxP3SxY3tZV+FeyfLPn7xd6hyzSM65WrVrUqhV/nHa9evVo0aLFn05UKyIiIiIiIiIikthZpDHOYDCwatUqtm/fzt27d7G3t8fT05PSpUvTrFkznJzUs0hERERERERERJIeizTGDR48GIPBgK+vL56engBERESwYcMGAgICGDdunCV2KyIiIiIiIiIiNmY0aEj+X7FIY9zJkyfZvn17vLIsWbL8H3v3HVZ1+f9x/MneboYjRdOy+uXILPfee29DHLgoNw5Q3BsVR+69J25xb9O0LLNlQ9NCRFOcCAfO+f1BHSONsK9wEF6P6+K6OPf5jPd9X+czzvvc9/3h3XffpX79+qmxSxERERERERERkXQvVSZwc3V15cKFC0+Vnz9/Hmdn59TYpYiIiIiIiIiISLqXKj3jxowZQ0BAALGxsbi7uwNw8+ZNHBwcNERVRERERERERCQD0zDV5KVKMu6NN95gx44dREREEBUVhclkwtPTkzx58qTG7kRERERERERERF4KqTJM9U958uShRIkSlCxZklGjRqXmrkRERERERERERNK9VE3G/VVUVFRa7UpERERERERERCRdSpVhqs9iMpnSalciIiIiIiIiImIhSgElL816xi1YsCCtdiUiIiIiIiIiIpIupVkyzsPDI612JSIiIiIiIiIiki6lyjDV2bNnJ/u+v79/auxWREREREREREQszGS0snQI6Vqq9IxLSEhg8eLFGI3G1Ni8iIiIiIiIiIjISylVesb16dOHqKgonJyc6NatW2rsQkRERERERERE5KWTanPGDR06FHd399TavIiIiIiIiIiIpEMmk9VL9ZfWUi0Z5+rqSpMmTVJr8yIiIiIiIiIiIi+dNHuaqoiIiIiIiIiISGaXKnPGbd26Ndn31WNOREREREREREReJocOHWL27Nk8evSIChUqEBQU9J+2kyrJuNOnT7N3717q1KnzzPeVjBMRERERERERyZhMRktH8OJdu3aN4OBgNm7cSM6cOfHx8eHo0aNUrlz5ubeVKsm4iRMnEh0dTalSpWjRokVq7EJEREREREREROR/du/ePe7du/dUeZYsWciSJQsA+/fvp169enh5eQEwffp0HBwc/tP+UiUZBzB69Gh27NiRWpsXERERERERERH5ny1fvpzZs2c/Ve7v78+HH34IwC+//IKdnR1dunTh5s2bVK1alb59+/6n/aVaMs7Dw4MuXbqk1uZFRERERERERCQdMpqsLB3Cc/Hx8aFp06ZPlf/ZKw4gISGBc+fOsXLlSpydnenVqxdhYWE0a9bsufeXasm448ePEx4eTmRkJNbW1nh4eFCpUiVq166dWrsUERERERERERF5Ln8djvpPcuXKRdmyZcmRIwcA1atX58KFC+knGRcaGsqFCxdo1KgRHh4eAERFRbFp0ya++OILBg8enBq7FREREREREREReeGqVq3K4MGDuXfvHi4uLhw/fpzq1av/p22lSjJu9+7d7NmzB2tr6yTlDRo0oEGDBkrGiYiIiIiIiIjIS6N48eJ07dqVdu3aYTAYKF++PM2bN/9P20qVZJyDgwORkZHkyZMnSXlERAT29vapsUsREREREREREUkHTC/ZnHEp1aJFC1q0aPE/bydVknFDhgyhffv2eHt74+7uDsDNmze5cuUKEyZMSI1dioiIiIiIiIiIpHupkowrV64cAwcO5PLly9jY2PDKK6/g6elJ8eLFCQsLo0yZMqmxW5E08TA+xtIhZBhuds6WDiFDsCJj/uqU1uosjLJ0CBnG1jcTLB1ChlD1go7tF8XVxtHSP4O/oQAAIABJREFUIYiYOVin2jP0Mh17KxtLh5AhJJiMlg5BJNOx/vdFnt/UqVPZtGkTd+7cYcWKFSQkJFC6dGns7e1Zt25dauxSRF4ySsSJiIiIiIhkTCaj1Uv1l9ZS5WeZo0ePEhYWhq2tLR07dqRz587Y29tTt25dTCZTauxSREREREREREQk3UtRMi4hIYF169Zx4sQJbGxsqFq1arJPjDCZTFhZJWYWvb29mT9/Pr6+vuTIkcNcLiIiIiIiIiIiktmkaJjq2LFjCQ8Pp3r16lSuXJnNmzczffr0f1y+Tp06dOzYkQsXLgBQpEgRQkND6du3L1evXn0xkYuIiIiIiIiISLpjMr1cf2ktRT3jTp48ya5du7CzswOgUaNGNGrUiH79+j1zeX9/f0qVKoWLi4u5rFSpUmzZsoUlS5a8gLBFRERERERERERePilKxmXPnp2EhARzMs7KyoosWbIku07ZsmWfKsudOzeBgYH/IUwREREREREREZGXX4qScYUKFaJdu3Y0a9YMGxsbdu/eTfbs2Vm6dCkAvr6+qRqkiIiIiIiIiIhIRpDip6m+/vrrfP311wDky5cPgEuXLqVOVCIiIiIiIiIi8lIyGfXwzuSkKBk3YcKE1I5DREREREREREQkw0tRMq5Hjx7PLJ83b94LDUZERERERERERCQjS1Eyrnbt2ub/DQYDhw4d4vXXX0+1oERERERERERE5OVkNGmYanJSlIxr2rRpktfNmjWjQ4cOqRKQiIiIiIiIiIhIRmX9X1YyGo1ERUW96FhEREREREREREQytP80Z9ylS5d47733UiUgERERERERERGRjOq554yzsrKibdu2VKhQIdWCEhERERERERGRl5NJc8YlK0XDVJs2bWruCWcwGPD29sbGxiZVAxMREREREREREcloUpSMO378OM2bN+fAgQMcPHiQFi1acODAgdSOTUREREREREREJENJ0TDV0NBQVq1aReHChQH44YcfGDRoEDVq1EjV4ERERERERERE5OViMlk6gvQtRT3jDAaDOREHUKRIERISElItKBERERERERERkYwoRck4R0dHvvrqK/Prr776Cicnp1QLSkREREREREREJCNK0TDVQYMG0aNHDwoUKADA5cuXCQ0NTdXARERERERERETk5WPU01STlaJknJOTE7t27eLLL7/EZDJRvHhxsmfPntqxiYiIiIiIiIiIZCgpSsYNHDiQPXv2ULly5dSOR0REREREREREJMNK0Zxxr7/+Ojt27CAiIoLo6Gjzn4iIiIiIiIiIiKRcinrGHTx4kPDw8CRlVlZWfPvtt6kSlIiIiIiIiIiIvJxMmjMuWSlKxv31SaoiIiIiIiIiIiLy3/xrMi4mJoYHDx7g7u7OunXriImJwcbGhg4dOmBtnaJRriIiIiIiIiIiIsK/zBl3+fJl6taty759+wBYuHAhly5dYsuWLWzevDlNAhQRERERERERkZeHyfRy/aW1ZJNxISEhDBw4kPbt2wOQJUsWJkyYwNSpU9m6dWuaBCgiIiIiIiIiIpJRJJuM++6772jQoIH5temPdGHhwoW5e/du6kZmYZNnjaJr744AWFtbM3zcIPZ/soVDn26jXacW5uW8C+Vn/Y7F7D25mbB9KylU2BsAOztbFq0JZdeR9YwNCTQvn987Hys2zU3TuljSpFkj6dLrSTsGjRtI+KnNHPh0K219mpuXe7/8u2w9uJodR9axMmw+Rd8qAiS244LVM9h+eC1jpg4zL5/fOx/LNs5J28qkAz7d2nLwzDZ2HVlP6IKJZM2WBWtra8ZMDWTfqS3sO7WFYaP6m5dv69OCfae2sDl8Bfny5zWXL1k3m1dfK2iJKljcmNAgfHq2A8DVzYWQRePYcmQVYcfW4Ovfwbxc5ZoVOP7tXjYcWG7+c3ZxBmD0jEA2HlzBjKUTsbW1AcAtqxsrdy7Azt4u7StlAaNDA/mgZ9unyqctHs/Q8f2fKi9b+T3WH1iWdBszAtlwcDnT/9aOKzJROwIMmx5Am+4tARizIJgl++ab//Z8u40JS8cAULJcCRaHz2PZ/oWEbgzh1TcLAWBrZ8uk5eNYun8BAyf1M283T4HcTFs7Oe0rlMZsvAuRdeoMss1dRLY587Et8hoA9hUqkW3OArIvWEqWsROxcsuSuIKjE25BI8m+YCnZFy3HqUVr87acfTqTfcFSsk6ejpWL6x87sCHbjNlYZc2a1lWzmLGhw+n0l/PktEXjCTu6mm3H1tLZv6N5ufwFX2H5tnlsO7aWteGLKVi4AJD4mZyzaiqbD61kxJTB5uVfKZCXhRtmpm1lLChwegBtu7cCYOyCYJbtW2D+2/vtdiYtHZtk+dyveLHn4laKFnvNXDZsWgDL9i9kwuLR2JjPk67M3z4rU50nU9qWbtncCJ41jKV757Pm6DJqN69p3kZmbsvqTasxf+9c5oV/TGjYdF4rlnif3da/DUsOL2L58aV80O/JPVDWHFkZv2Isiw8uYOGB+bxZ6k3zewNDBjB/71xGLQo2t6NrVldmbp2e4duxStMqzAyfReiemUzeMoXCxQpjZWVFp2G+zDkwh1n7ZjN0/jCy5MiSZD1bO1umbJ1KU7+m5rI67esw5+DHTAmbiucrnuby4GUjyVc4X5rVKT3o3uMDzp7bx9mze1m/YSHu7jkB6ObXgZOndvLZ5wdYvHg69vb2ANStV52z5/Zx8tROSr7ztnk7s+dMoGrV8hapg8h/kWwyzsnJKcnr6dOnm///82DIaF4tUpBVYfOp3/jJxbudT3MKFspPnQotaVKzA77d21Gs5FsATJ83jtXLNlK7fHNmTJrHx8umAlCpenkiI6KoX6U1efPl5rWirwIwbHR/xgdPf3rHGcyrRbxZsWUedRs9acc2Ps0pUOgV6ldsRbOaHfH5ox1d3VyZs2wKk0bOoGGVNgQPmkDooonY29tRsVo5IiNu0KhqW/K8kpsif7TjkFH9mDhyhqWqZxFlKpSm+0e+tG/ajfpVWnPkwAkmTB9B09YNKFTYmzoVWlCvUiveK1+Ken+0e88+nWlQpTVL56/hgy6JXzjrNqzBj9//zE+XLluyOmmuYJECLNo0i1oNq5vLeg/240bETZpV6UC7Op1p5dOMYqX+D4Dipd9m+dw1tKrhY/579PARRd54FXePXLSs/gG3om5TrmoZAPwH+7EwdDmGOINF6pdWChYpwMK/teOfOvVuT8kyxZOUOTja03uwH5MXjMHW9sk0pUXeeJVcHjlpVd2H36N+p1zV9wHwH9yNRaHLMnw7AhQonJ8ZG6ZStWFlc9lwv1F0rtWdzrW6M3nQNB7ce8j0wJm4uLkwbuFIPh47n041uxEyZAaj543Azt6O96uUJur6TXxr+uGV14OCr3sD4D+iJ3PGzLNQ7dKIgwNZJ04lZsNaont25dGqFbgNCcL2tddx9e/LvdEjuOPnS8Kv13Dp3BUA55atITaWO36+RH/UE6emLbB9rShWzi44VKzMHT9f4j47i0ONxPOoU9MWPD58EFMG/xESoFARbxZvnk3tRk+O7w+HdOfG9SiaVm5Pmzq+tPZpRvF3E8+Tk+aOZP3yLTSu1JY5kxcxffEEACpUK8uNiCiaV+tInnxeFC6amDgeOOojpo7M+Mm4AoXzM3NDCNUaVjGXBfmNolMtPzrV8mPioBAe3HtISGCo+X17BztGzBqG7V+SGa++UYicHjnoVLMbt2/e5v0qpQHoNqgzy2euzjTnyedpy6DpgxPPh7W706fNQPqO9sc9d65M3Zb5CuXDL7ArQzsG0qNOL1bPXMPIBSN4r2ppKtevSK96velaw4/i5YpTuUElAD4a689Xn16kS3U/Jn40iRHzAnFwdKBg0YLk9MhB99o9uR11h3crvwtAp4E+rJ61LkO3Y95CefEN7EzwByPoU/cj1s9az7D5w6jZuiaF3y5Mn3p9+LCWP9d/uU6X4V2TrNstuBu5C+ROUtaiZwv61P2I7Uu2U/+D+gCUq1eeaz9c5dcff02zellaiZL/R58+flSv1pzSpWvz04+XGT5iAI0a16ZHj040qN+ed0vVxNHJkQ8/7AJAUFA/GtRvT98+wxkwoCcA75QqRpYsbhw+fNKS1RF5Lsk+wMHGxoZ79+6RJUtidr9gwcSeNHfu3MHGxib1o7OAjl1asWnNdiJ+jTSX1apfjbUrNpOQkMC9u/fZGbaXJi3rc+N6FIWKeLNjy14Ajh48yZgpw3irWFHiYuNwdHIEwNHJEYPBQLVaFblxPYrvvr5kkbqlpfZdWrF57Xau//aXdqxXhXUrw8ztuCtsL41b1iNs/U7u33vAJ8fPAvDzj1d4cP8hJd4tRlyc4Uk7OjpgiDNQtWZFbkRG8d3XP1ikbpbydvE3OHn0NJERUQCE7zzIhBnBHD9yGmdnJ+wd7LG2tsLezo7Y2DgA4g3x2DvY4+zsRJwhsS27+fvQsXl3S1bFItr4tmDrul1c/+2GuWxS0HTzuSyXRy7s7e14cP8BACVKv028IZ4a9avwOOYxsybO57PTX2CIM2DvmPhjhJOzI4Y4A6+9WRivPB4c25/xbwDa+DZn27pdSY5tgNLl36F81TJsWr6VLNnczOXlqpTBydmRkf3G0yugm7k8Lkk7OmGIi+e1NwvjmceTY/tPpU1lLKxpp8bsWR9O1G9RT71na2dL4IzBzAyeQ1TETV4v9hoP7j/ksxPnAbj60zUe3n/IW6XexBBnwNHJAQAHRwfiDfGUq1GGm5G3+Ombn9O0TmnNvlRpjNd/I+7TMwDEfXKShMjrONapx+PwXRhvJH5OH61YhtUf9zJYW2Pl7AzWNmBvD9ZWmOINmBLiwcoKbGywcnTEdP8+1jly4FC+AtED+liqimmqjW9ztq7dyfVfn5wnJwROS3qedLDj/r0HeHi5U7CwN3vC9gNw4tAnDJ8UwBtvv57kHsjhj2t35Zrlibp+k++/+THtK5bGmndqwq714dz4y/XmT7Z2tgTNGEzoH8f2n/qP68PuDXvx+ai9ucwQZ8DeIfE86ejsRHxcPIXfLIRHHndOHTid+hVJB56nLd2yuVG6YilG9EzsTXzz+i38Gvbm3p37OP1xnwSZry0NcQamBczgdtRtAC5duER29+xUalCJQ1sP8zgmFoC9G/ZRvVk1ju85wfs13mNm0GwAfvrmZ367/Bulq7zLlUu/YO+QmDB2dHYg3mCg0BuJ7Xjm4BnLVDCNGOIMzAqYyZ2oOwD8eOEHsrlnJ+JyBEvHLSE+Lt5c/mdyDaBqs6o4u7lw7tDZJNuLj0/Azt4OR2cHDIZ4HBwdaOrXlBHth6ddpdKBL85fpNjbVYiPj8fBwYE8eby48ss12rVrzsyZC7lzJ/GHsD4fBZp7XsbGxuHk5IiLi5M5ATxu3DD8ug2wWD3k2YwmK0uHkK4l2zOuYcOGBAYGEhcXZy5LSEhg7NixNGnSJNWDs4SRQyaxdeOuJGW583om+QJ/PSKK3Hk8yJ3Xi6jIm+bhuwCRETfwyuPJiSOnMRgM7Dy8jjMnz/Hbtev07t+VkPGZY2jl6CGT2bZxd5Iyr7xeRP7lC3zk9Si8cntw5aerOLs4U6FKYg+jt0u8SZHXX8XDMxcnj5zGYIhn++E1nDn5GRG/XqdX/y5MH/9xmtYnPfjy84uUrfgeefMl/rLWsl1jHBzsObTvGHej73H64n7OfHOQK5evcXDvUQAmjw1l7bbF1G1Ug2XzV9O7XxdWLl7PwwePLFkVi5gwLISdm8KfKk9ISGD87GC2HFnFuVOfc+XHqwBE377LuqWbaVPbl9Dxc5m+ZCKeud258tNVzp/5kg0HlvM4JpbTx84yIPhDpo6cldZVsogJw6Y91Y7unrkIGNOXob1GkmA0JnnvcPgxpgbP5G70vSTlv/x0lfNnLrD+wDIexzzm9LGz9A/2JyQT9Jr504ygWezdfOCZ7zVoW5dbN25xPDwxwXvt519xcnGidKVSABQt/joFX/cmp0cOzh77jPi4eJbsm8/5T74k8tcbfNCnPQsnL0mzuliKTb5XMN6+jWv/ALLNmU/WSSFY2dhgk+8VrGxsyDJqHNnnLcb1w76YYhLPezEb1mLt6UXOdZvJuXoDsUcOkfDzTxAbS8y2LWSfMx/b/AV4fHAfLt168nDJQvjb5zqjGj8shB3/cJ6cOGckW4+u5uwf50mvvB5P3QPduB6FZx4PPjn6KQZDPJsOruDcqc+J+DUSv36+zJo4Py2rYzHTgmayd/P+Z77XoG09bt34nWPhJ8xlDdvWw9bOlh1rkt5/Xv3pGhfOXmTZvgU8jnnM2eOf4T+8B7NGZ57pTp6nLfN55+VW1O+06d6SuVtnsnj3XF77vyLEPo7N1G1549cbnDn0qfl1jxHd+WT/aXJ65CDq+pOE8K3rt3D3ykXWHFmxtrLm7u0nvYFvXr9Frty5+PXnX7l49mvmhX9MbEwsnx8/T/egbswbsyBN62QJUb9Gce7QOfPrLsO78umBT7l45iI/XfwJAJesLrTp05YTuxKv3QVeL0DDzo2YPeTpe8QVk5YzYf0Eytcrz44l22np35LdK3YR8zAmbSqUjsTHx9OgYS0u/fAJ5Su8x8oVGylcuCDu7jnZum05Z87sYVhgX/O9ZFDgBJavmMWQoX2YMGEmPp1ac+TISa5d+83CNRF5Psn2jOvUqRMBAQFUq1aNd955BysrK86fP8/7779vfqjDs/z222+EhITQt29f7OzsCAgI4OLFi7z11luMHz+e/Pnzv/CKpCZr66dzlgkJxmeWAxgTEjCZTAztO9pc1rt/Vzau2UaOnNmZNHMkALOmLuCbr75PlZjTI2vrpzPjCUYjDx48pOcH/ek/rBcBwX04e/pzTp84i8FgwGQyEdhvjHn5Xv27sGnNNrLnzMaE0GAA5oQszBTt+OknnzNz8nzmrZiO0WRk4+qt3LkdTc8+nbn9+x1KF62Ko6Mj81fOoGuvD1j08QrCdxwkfMdBIHGevZKlizN94lyGjxvEKwXycubkZyyeu9LCNbO8Yf6jGBMwmWmLx9NjQGc+nrKI/l2Gmt8//+kFvjz3FWUqv8e2dbuYPWkBsycl3njWb16br7/4locPHjJp3micnBxZs3gjp4+d/afdZSi2tjZMmjeaKcNDuRX1+3OtO2fSAuY81Y6PmDRvNI5ODqxdvCnTtOPfterWgskB08yvHz14xDDf4XQb3Jlew7vz5ekLfH7yC+IN8ZhMJiYNCjEv+0Gf9uxaF062HFkZGjIIgGXTV/LD1xmvR5KVrQ3275UhelBf4r/7Fvuy5ck6bhLxV69iX6Yc0QH9MUXfwaVbD9z6DeLeyCBcP+yH4bOzRC9ZiHX27GSdNA3D1xeJO3GMx9u38nh74gOqbN96G6ysMFz6HtcBg7HOmpXYI4eIPfTsBGpGN6T3SEYNmsSMJRPoOaAzJw8/uxfMn/dAwf3Hm8v8+vkStnYH2XJkY8yMxHl054Ys4buLGX+kwN+17tY8ybH92v8VoUnHhvRq1veZyy+cvMScWK/VrAbffvk9D+8/YtTHQTg6ObJpSRhnj3+WJrGnN39vS1tbG/IWyMPD+w/p2eQj8nrn4eMtofx6+Ve+/+qHTN+Wjk4ODJo2EI887gzpGMjwuYFPLWM0Gp95v/7newBLpyxn6ZTlQOJcdN9fuMSj+w8JnDMUBycHti7dzufHP0+9iliYg5MDfaf1I1fuXIz8INhc7lXAi8CFQXxz9ht2Ld+Js5sz/WcMYOpHU4j9o/fhX53ac4pTe06Z1y1a6g3WTFtD1+BueL7iycXTF9m2KPM8MHHnjn3s3LGPTr5t2LZ9BQkJCVSrVpHWrbrx+HEsCxeGMHLkIAICRnPq1FkqV0rsGJQtWxY6dWpDndptGDioF++9V5Lvvv2RESMmWbhGIv8u2Z5xNjY2hISEMH/+fEqVKkXJkiWZPXs2U6ZMSXajgwYN4v3338fLy4vRo0fTqFEjPvnkE9q1a8fgwYOTXTc9ivg1Eg/PXObXXrndibx+g4hfr+PukSvJsp65PbgekXTIUZ68XlSsWpb1K8PoO7gHS+auYuTgiQSPD0iT+NOLiF8jcfd0N7/29HInMuIGVlZWPHr4iA5NutOoalvGDJ1Cfu98/HL5WpL1c+f1okKVMmxYtZU+AT1YOm8Vo4dMImj8oLSuikW4uDpz5tQ5GlZrQ+Pq7QjfkfiFsGzF99iweisGQzz37z9g8/rtlKlQ+qn1g8YOZPyIaZSv9D4uri74dehL5erlKVDwlbSuSrpRrsr7uP9xbMc8imHP1v288fbruGVxpetHPkkXtrIi3hCfpMjZxZl2XVqyMHQZHbq15viBUwzqPpyAMc/+UpURvVn8DfLmz82AUR+y/sAyWn7QhFqNqxMcMiTF23B2caZtlxYsCl1O+26tOH7gFAHdhxMwJnMMDfy7Im8VxsbGmi8++dJcZmVlxaNHMXzUcgC+Nf2YMXw2eQrk5tcrSX8F9sjjQelK77JzzW46D/Bh/YJNTA+aRZ8x/mldjTSR8PvvxF+7Svx33wKJw1SxtsEYfYe4c2cx3bkNJhOP9+7B7s3EuV4dKlQkZtd2MJkw3r5N7LEj2JcomXTD1ta4dvXj4cK5OFavhTHyOveCA3Fu0z5xaGsm8vfz5O6w/bxRrCjXf4skl0fOJMt65Hbnxt/ugbzyelKu8ntsXrWd3gFdWT5vLeOGhjB03NMPesnoEo9tG87/5diu27IWzm7OzN8+i2X7FpDLMyfBswOpULNcknWdXZxo4duU5aGrad2tOacOnmF4z9H0GdU7rauRLjyrLW/dSPxBaPeGxOljfrsSwYWzF3mj5BtJ1s2MbemRx53QrTMwGo0MaB3Aw3sPifotipweOczL5PTKyc3rt7hzKxpIfCjDn3J55eLW9VtJtunk4kQT38asmbmGZl2bcebgp4ztNZ5ewT3SplIW4J7HnSlhUzEmGAlsPYyH9x4C8HbZt5kSNpVDmw7y8bDEUVDvVH4HlywuDJw5iNA9M3mv5vs07tqE9v2f7tDSZXhXloxdTPHyxXFycWJc17GUqvLOU/PMZUSFChWgbNl3za9XLN9A/vx5iX0cy47te7l//wEGg4G168J47/13nlp/+IgBTJkyh1deyUPVKuVp1bIbOXJmo0qVck8tK2nPZLJ6qf7SWrLJuD/t378fHx8fOnXqRLFixQAYO3bsPy4fExND69atsbe3JyIigpYtW+Lo6Ei9evV48ODBi4k8De3fc4SW7RtjY2ODWxZXGjStzb7dR4i8HsUvV67RoGltACpWLYvRaOT7b5LOZTb0j4cNmEwm7O3tMRjiMZpMODo7WqI6FnMw/Cgt2jVK0o4H9hzBZDKxcO1M/q944s1SnUY1MBjin5oTbsiovkweFZrYjg52xP/Rjk5OmaMdPb3cWbt9Ma5uLgB8OLA7O7aEc/HLb6jfpBYAtra21KhThS8+u5Bk3Wq1KnEj8ibffPUd9g725qSSyWTC0dEhbSuSjtRqVJ0eAxIng7Wzt6N2o+qcOfEZDx88orVvc2rUrwJA0f97jbdLvsHJw0nnlek5sAsr5q8l5tFj7P78TBqNmeYzCXDhs4vULtWU1jU60bpGJzau2Mq+bQcZNWBiirfRY2BnVs5fR8yjx+bPp9FoMs85ldmUKFuMz09+kaTMZDIxZcUEXv/jKYtVGlQiwZDw1JxwvUd0Z+64BZhMJuzs7YiPj8dkNJrnlMto4j49g42nl/kJqnZvFwOTidiD+7F/v4z5CaoOFSph+P47AAw//IBD5WqJG3B0xL70exi+/SbJdh0bNib29CmMv/8OdnaY4uPBZEqcT8422UEFGU6dxtXpOfDv58lz3Lh+k2tXfqNukxpAYtLOZDRy6dufkqw/MPhDpo2Zbb4Hio9PPE9mxuO7ZNnifH7yfJKy0OA5tK3oY34gwa0bvzPKfxwn/jZ3pm9/H9Yv3MjjmMeJx7YhHpPRhEMGPbb/zbPa8vq1SL67cIl6LRPvy7Pnys7bpd7iuy+Tjp7IbG3pls2NkI1TObHnBON6TyDuceL0Q6f2fUK1ptVwdHJIPLZb1uLk3lMYE4ycOfQpDdrXA6Bg0YIUKJKfL/+S+ATo2K8Dmxdu4XFM7F+uNxm3HV2zujJhwwROhZ9iiv9k4v6Yn7loqaIMWxDI9H7TCFsQZl7+xM4TdC3fhT51P6JP3Y/4dP8Zti3ayuppq5Nst3T10ty+cZufv/4ZWwc7EuITgMRLzp9z62ZkXl4eLF8xi5w5swPQpk0Tvvn6EkuWrKVps3rm7ykNG9bis8+SfgbffvsN8ufPy+5dB3BwsMcQn/j9xmg04eSc9EGUIulRsneUM2fO5N69e+zevTtJEi0uLo7Dhw8TFBT0zPU8PDzYsGEDrVq14v333+fo0aNUrlyZ48ePky1bthdbgzSweulGCnjnY9fR9djb27Fm+SY+PZXYjb1Pt6GMnz6c3v27Ehcbh3+XgCTzp5Sv9D4xj2L44rOvAFj08UrGT0tst8ljMsccU39as3QT+b3zsePIWuzs7Vi3fAufnkrsxj6gRyDjpgdhZ2dH1I1b9PJJOgFnuUrv/dGOFwFY/PEqxoQktuPUsZmjHX/+8RfmhS4hbN8qrK2tOXv6PMGDJ+Dk5MjIiUM4cHorCQlGTh07w7zQpeb17O3t+HCgH51a9QLg+OFTdOjcit1HN3D+3Fd8/23GG7qWUiEjZxI0OYAtR1ZhMsGhPcdYvXA9JpOJPp0CGDquP70GdSU+PoFB3YcT/Zf5UwoWKUDhooUIGZX4+du0YisT547Cr18nFkxfZqEavXwKFilAkaKvMm1U4kTRm1ZsZcLckXTr14mFmbQd8xXMx/VfI58qH+0/joAp/bGzs+P3qN8Z2mVEkvdLVXyHx48e883nib3E1i/YSMCkxN5H8yYsTP3ALcB05zb3Rgbi+mG/xIcjw/j6AAAgAElEQVQuGAzcHTWc+K+/wjqXO9lCQsHaGuONG9yfljhk5f7k8bh+2BfHmrXBaCT26GFiDz6Zk8oqS1Ycq9ckuv9HAMQePkjWUWNxrF6T2EMHMD3KXHNuTgmeyYgpgwk7uhqTycShPcdYtWA9AIO6D2dUyFD8+vkS9ziO/l0Dk9wDlalUmphHj7nw2dcALJ+7hpFTE6cAmD42c8yh+1f5CuZN8nCMlCpQOD+vFi1ofjrytlU7GTk7kE59OrA8dNWLDvOl8E9tOazLCPqP70OTjg2xsrZi6YwVSZJxmbEtG3ZsgEded8rXKU/5OuXN5QFtBnNiz0lm75iFrb0tp/Z9wv5NiaMuQgNnMWByPxYemA8mExP7Tubh/SfnvvyFX6FQUW8WjE28tuxctYths4fQ/qN2rJ65Jm0rmEbqdaxHrrzulK1dlrK1y5rL796+i5WVFT5DOuEzpBMAN67dYLzfuH/dpq29La0/amMe7nr+2OfU71iPmeGz+P78d/zy/S+pUpf05NSps0yePIfw8HXEJyRw/foNWrfuxrVrEWTPkY0TJ3diY2PNl198zdAhSdt0woRA+vZNfODF119/z82oW5w5s4fLV66xf99RS1RH5LlYmf561/Q3R48e5auvvmLdunW0adPGXG5jY0PZsmUpUaLEM9e7efMmAQEBfP/993h5efHtt9/i6uqKp6cns2fPxtvb+7mCLJSr5L8vJP/KxipFHSHlX8Qb4/99IflXbnbOlg4hw7BCTyp6EbLY6FfUF2XLmzpPvghVLzw9z5D8N1ltdc2R9MPJ2s7SIWQYTlZqyxfh0K2Llg4hw3j46IqlQ0g3zuRpZukQnsv7EVvSdH/J9oyrXLkylStXBsDfP+Xzzbi7u7N06VLu3LnDtWvXiI+Px93dnVdeybxzU4mIiIiIiIiIiKRo4pPw8PDnSsYZjUY2bNhAeHg4kZGRWFtb4+HhQeXKlenQoQN2dvoFQ0REREREREREMp8UJeMKFixIUFAQ7777Ls7OT7r516pV65nLBwcHYzQa8ff3x8PDA4CoqCi2bdvG0KFDmTp16gsIXURERERERERE5OWSomRcdHQ00dHR/PLLk0kkrays/jEZd/bsWcLDw5OU5c+fn3fffZf69ev/D+GKiIiIiIiIiEh69o8PJxAghcm4lStXAiQ+stpk+tdhpq6urly4cIFixYolKT9//nySnnUiIiIiIiIiIiKZSYqScb///juDBw/m9OnTJCQkULp0aaZMmYKnp+czlx8zZgwBAQHExsbi7u4OJD5h1cHBQUNURUREREREREQk00pRMm706NGUKFGCadOmkZCQwMqVKxk5ciRz58595vJvvPEGO3bsICIigqioKEwmE56enuTJk+eFBi8iIiIiIiIiIumL0WRl6RDSNeuULHTlyhX8/f3JkiUL2bNn56OPPuLq1av/ul6ePHkoUaIEJUuWZNSoUf9zsCIiIiIiIiIiIi+zFCXj4uPjiY2NNb+OiYnByur5spxRUVHPF5mIiIiIiIiIiEgGk6JhqvXq1aNTp040a9YMgC1btlC7du3n2pHJpGdpiIiIiIiIiIhI5paiZFzv3r3x8vLi+PHjGI1GmjVrRosWLZ5rRwsWLPhPAYqIiIiIiIiIyMvDpDnjkpWiZBxAkyZNqFGjhrmH2927d8mWLVuKd+Th4fH80YmIiIiIiIiIiGQgKUrGrV69mkmTJmEwGIDEIadWVlZ8++23z1x+9uzZyW7P39//OcMUERERERERERF5+aUoGbdkyRLWr1/PG2+8kaKNJiQksGzZMnx9fbG2TtEzIkREREREREREJAMwWjqAdC5FybisWbOmOBEH0KdPH6KionBycqJbt27/OTgREREREREREZGMJNlua9HR0URHR1OiRAmWLVvGrVu3zGXR0dHJbnjo0KG4u7u/0GBFREREREREREReZsn2jCtTpgxWVlbmhzZMnDjR/F5yc8YBuLq60qRJkxcUpoiIiIiIiIiIvAxM6GmqyUk2Gffdd9+lVRwiIiIiIiIiIiIZXormjDMajSxevJhjx44RHx9P+fLl6dGjB7a2z15969atyW5PPeZERERERERERCQzSlEyLiQkhO+++w4fHx+MRiPr169n0qRJBAYGPnP506dPs3fvXurUqfPM95WMExERERERERGRzChFybjjx4+zefNm7OzsAKhSpQqNGjX6x+UnTpxIdHQ0pUqVokWLFi8mUhERERERERERSfeMJktHkL4l+zTVP5lMJnMiDsDe3j7J62cZPXo0d+/e/d+iExERERERERERyUBSlIwrWrQo48eP5+rVq1y9epXx48fz2muvJbuOh4cHXbp0eSFBioiIiIiIiIiIZAQpGqYaHBzM2LFjadOmDUajkYoVKzJ8+PBk1zl+/Djh4eFERkZibW2Nh4cHlSpVonbt2i8kcBERERERERERSX+MWFk6hHQt2WRcXFwcw4cPp2bNmkycOBEAPz8/bGxscHV1/cf1QkNDuXDhAo0aNcLDwwOAqKgoNm3axBdffMHgwYNfYBVEREREREREREReDskOU505cyYPHjygZMmS5rIxY8Zw7949Zs2a9Y/r7d69m4ULF9K4cWPKli1L2bJlady4MfPmzePIkSMvLHgREREREREREZGXSbLJuCNHjhASEkLOnDnNZZ6enkyePJkDBw7843oODg5ERkY+VR4REYG9vf3/EK6IiIiIiIiIiKRnJqxeqr+0luwwVTs7OxwdHZ8qd3V1TTapNmTIENq3b4+3tzfu7u4A3Lx5kytXrjBhwoT/MWQREREREREREZGXU7LJOGtrax48ePDU/HAPHjwgPj7+H9crV64cAwcO5PLly9jY2PDKK6/g6elJ8eLFCQsLo0yZMi8menkuCSajpUPIENSOL0Z03APc7JwtHUaGEJMQZ+kQMgRrTTL7wpT/ItbSIWQIZyr98/y88nyqnHxs6RAyhDjjP9//S8pltdX9z4tibaNrt4i8nJIdptqgQQOCgoJ49OiRuezRo0cEBQVRq1atf1xv6tSpbNq0iTt37rBixQoSEhIoXbo09vb2rFu37sVFLyIvLSXiREREREREJDNKtmecj48PwcHBlC9fniJFimA0Gvnpp59o2LAhvXv3/sf1jh49SlhYGLa2tnTs2JHOnTtjb29P3bp1MZlML7wSIiIiIiIiIiKSPmg8WfL+dZjqmDFj6N69O9988w3W1ta8/fbbeHp6JrtRk8mElVVil2Fvb2/mz5+Pr68vOXLkMJeLiIiIiIiIiIhkNskm4/6UL18+8uXLl+KN1qlTh44dOzJkyBCKFStGkSJFCA0Nxd/fn7g4zW0kIiIiIiIiIiKZU4qScc/L39+fUqVK4eLiYi4rVaoUW7ZsYcmSJamxSxERERERERERSQdMejhaslIlGQdQtmzZp8py585NYGBgau1SREREREREREQkXUv2aaoiIiIiIiIiIiLy4igZJyIiIiIiIiIikkZSbZiqiIiIiIiIiIhkPkZLB5DOqWeciIiIiIiIiIhIGlEyTkREREREREREJI1omKqIiIiIiIiIiLwwGqaaPPWMExERERERERERSSNKxomIiIiIiIiIiKQRDVMVEREREREREZEXxoSVpUNI19QzTkREREREREREJI0oGSciIiIiIiIiIpJGlIwTERERERERERFJI5ozTkREREREREREXhijpoxLlnrGiYiIiIiIiIiIpBEl40RERERERERERNKIhqmKiIiIiIiIiMgLY0TjVJOjnnEiIiIiIiIiIiJpRMk4ERERERERERGRNKJknIiIiIiIiIiISBrRnHEiIiIiIiIiIvLCmCwdQDqnnnEiIiIiIiIiIiJpRMk4ERERERERERGRNKJhqiIiIiIiIiIi8sIYLR1AOqeecf9g8qxRdO3dEQBra2uGjxvE/k+2cOjTbbTr1MK8nHeh/KzfsZi9JzcTtm8lhQp7A2BnZ8uiNaHsOrKesSGB5uXze+djxaa5aVoXS0ppOxYr+SYbdi1l5+F17Dm2gcYt6z3ZxsyR7DqynnkrpmFrm5g/zpLVjU17lmNvb5e2FbKw2vWrsff4ZvYc3ci6bYsp4J0Pa2trxk0N4uAnWzn4yVYCRw8wL9/epyUHP9lK2N5VvJI/r7l82fqPKfxaQUtUweLGhQ6nU8/2ADg4OjBmRhBhR1az7ehaxswIwsHRAQB3z1wsWBfKlkOrCDuymgbN65i3MXbGcLYcWsXMZZOxtbUBEj+Tq3ctwi6TfCZTemz/KV/+PHz+wxHeLvHmk23o2AZgVGggHXu2fap86uLxDB7f/6lyt6xu7DizgRoNqpjLegV0Y8PhFczfNBPXLK4A2NrasHT7XLLnzJZqsacnE2cF07lXhyRlXnk8OX5hN9lzZDWXZc2Whalzx7D10GrCT21Kcr2ZMHME2w+v4ePlU5Mc2+t3L8kUx7Z1/oK4jpqB25SFuE2aj02h18DWDufu/ckyexVuUxbi2MYXrKwAsMqeE9fhk3ELWUSWaUuwr1TTvC3n3oNxC1mEy+CxYJPYllYurriNnwO2Gb8tAUaHBvLBH8e2q5sLUxeNY/ORVWw5thpf/yef1UKvebNs21zWH1jG+v3LKFflfQBs7WyZtXIKGw4uZ/jkAPPy+QrkZd76GWlbGQsaP3MEvr2eXLfHzghi25E17Di2jrF/uW7/KUtWN/adDaNWg2rmso8Gd2fbkTUs3fwxbn85R67euTDTnCMBhk8fQrserc2vm/s0ZvneBaw7upyRswLN5zkHR3sGjOvD8n0L2XB8Je17PlnHb1BnVh1cwuwN08zXGxtbGxZsm0W2v5xrM6LqTasxd+/HzA2fw/SwaRQpVgSANv6tWXx4IUuPL6Fjvw5Preea1ZXlJ5ZSsV4Fc5nPwA+Yv38uk9dNxCWLC5DYjtO3hJA1g7fj33Xv8QFnz+3j7Nm9rN+wEHf3nAB08+vAyVM7+ezzAyxePB17e3sA6tarztlz+zh5aicl33nbvJ3ZcyZQtWp5i9RB5L9QMu5vXi1SkFVh86nf+MkNZTuf5hQslJ86FVrSpGYHfLu3o1jJtwCYPm8cq5dtpHb55syYNI+Pl00FoFL18kRGRFG/Smvy5svNa0VfBWDY6P6MD56e9hVLY8/bjh8vnUropHk0qNoG39b+BI4egHeh/BR9swjunrmoX6U1t6J+p1K1sgD0H9qLj6cvIi7OYJH6WYKDowOh8ybg90Ff6lZuyf7wI4ycOJRmrRtSqLA3Ncs3o3bFFpQp9y71G9cCoGffztSt3JIl81fxQdc2ANRrVJMfvv+JHy9dtmR10lyhIt4s2TyH2o1qmMu69+2EjY0Nzap2oGnV9jg6OtDtIx8A+g7ryYXPv6ZZtQ50b9OXEZMDyOWeg9feLIy7Z06aVevArajfKV+1DAAfDu7OghlLMWTwz+TzHtsA9g72TJs7Dju7J1/AdWxDwSIFmL9pJjUbVnvqPZ/e7XinTLFnrjdmVhCubq7m165uLlRvUJlWVT/g9JFPqd+iNgBtu7UifOsB7vwenToVSCdeLeLN8i1zqduoZpLyJq3qs2bHQjxzeyQpnzhrJJERUTSp1h6f5r0IGj8Qz9wevP5mYdw9c9GoajtuRv1OhaqJn8m+Q3syd/qSDH9sY++A24ipPN62lvuDuvF40wpc+gbh2Lw91u5e3OvXmfsBflhny4lDnSYAOLXvRvwP33J/QFfujw3A2a8fVtlyYFOgENbZc3J/QFdMd25jV+I9ABzbduHx5lUQn7HbsmCRAizcNItaDauby3oP9uNGRBTNq3SgfZ0utPRpSrFS/wfAsIkD2bpuJ61rdCK433gmLxiDjY0N5auW4UZEFK2q+5A7nxeFixYCYMDID5k2arZF6paWChXxZunmj6nzl+t2j76+2Nra0qRqexpXaYejowN+fXySrDdx9kjc/naOrNmgKo2rtOPkkdM0bFEXgI5+bdi1ZV+GP0cCeBfOz+wN06jeqIq5rErdirTs3IwPWw+gbZVOODja08avJQC9A7uTJZsbvnW641uvBy06NeWtd97Exc2FqvUr0aF6Z84cO0ed5onn3dZdW7Bv6yGib9+1RPXSRL5C+ega2JXAjkH0rNObNTPXErxgOKWrlqZS/Yr0ruePX43uFC9XjEoNKiZZN2D6QHPCDcDZzZkKdcvTvWZPPjv2OdWbJt4HNO3ShMPbjnA3A7fj35Uo+X/06eNH9WrNKV26Nj/9eJnhIwbQqHFtevToRIP67Xm3VE0cnRz58MMuAAQF9aNB/fb07TOcAQN6AvBOqWJkyeLG4cMnLVkdkeeiYap/07FLKzat2U7Er5Hmslr1q7F2xWYSEhK4d/c+O8P20qRlfW5cj6JQEW92bNkLwNGDJxkzZRhvFStKXGwcjk6OADg6OWIwGKhWqyI3rkfx3deXLFK3tPQ87fjdNz8wc8oCTh47A0Dk9Sju3I7GK48HNyJvmn/xdHJ2JC7OQNG3XiN3Xi8O7TtukbpZio2NNVZWVmTJ4gaAi4szsbGx2NhY4+zihL2DPdbWVtjZ2xH7OBaAeEM89g72ODs7YYgz4OjkiJ+/D+2b+VmyKhbR1rcFYWt3cv0vn8lzn3zBb9ciMJlMmEwmvv3qewq/nvhlx9rGxvyLr6OTI/HxCRhNJuJi47B3SPxlzsnZCUNcPK+/WQSvvJ4c3Z/xbwCe59i+cP5rAEZPGsrmddvp3a+reZ3YuLhMf2y38m3O9nW7iPztRpLyd8u/Q7mqZdi0fBtu2dySvNetXyd++OYnXFydzWXx8fFYWVlja2uDk7MTd6PvkcsjJ1XrVKRrU/80qYslte/Sii1rd3D9tyefSQ/PXNSoW5lubfuw5+RGc3nWbFkoX/k9+vkNBeDG9Sha1u7E3ei7ODs74eCQ+Jl0dnbCYDBQ9K0ieOXx5Mj+E2lbKQuwK1EaY2QE8Z8nXosNZ09ijLqOY7tuxJ08BIY4AOI+PYFj4zbE7gkDa2usnBO/YFo5OGBKSACjEZPBAHaJ50kcHTHFG7Ap8CrWOd0xfPaJReqXltr4Nmfbul1JPpOTgqZj80cPwVweObG3t+PB/QcA2FhbkyVrFgCcXZ2Ji01sa0OcAUfnxHtJBycHDHEGKtUsR1TkTS5982NaVski2nVuQdi6pMf22dPnibh6/cl1++Il83UboGf/znz/zY9PnSOtrRPPkc5/nCPdPXJSvW5lPmjcI03rZCnNfZuyc/0ebvwWZS6r27I2a+Zv4F70fQAmDZ5m7hlXp3ktOtfrgdFo5OH9h/Rq0Zf7dx8kXm+srbGxtcHJyZF7d+6R0yMHletUoGezPhapW1oxxBmYHjCD21G3AfjhwiWyu2enUoOKHN56hMcxiffeezfsp3qz6hzbmXgv075PO37+7jJOf/lMJhgSsP6jHR2dHbkffZ8cHjkoV6scA1sOSvvKWdAX5y9S7O0qxMfH4+DgQJ48Xlz55Rrt2jVn5syF3LmTmJjs89GTnpuxsXE4OTni4uJk/qFs3Lhh+HUb8I/7Ecsw/tGTXp4tVXrGvfPOO+zevTs1Np3qRg6ZxNaNu5KU5c7ryfW/fFm6HhFF7jwe5M7rRVTkTUymJw/tjYy4gVceT04cOY3BYGDn4XWcOXmO365dp3f/roSMn5NmdbGk52nHuNg4Nqzeai5v80EzXFycOH/uKy7/+AvnTp9n5+F1xMQ85uTRMwwb1Y/xI6alWV3Si0cPYxg2YAxbwldy9uuD+HRty4SR09m4Zht3o+9x9uuDnPvmMFcuX+XA3qMATBoTyvrtS6jXqBZL5q/Gv183Vixax8MHjyxcm7Q3bthUdmzak6Ts1NEz/PLzNQBy5/Oio18b9u44CMCMcR9TtXZFDn+5k+3H1zFnykJu37rDlZ+ucv7TL9l8cCWPYx7zybFPGTjyQ6YEh6Z5nSzheY5tgFYdmmJrZ8v6lWFJ1tGxDZOGTWPXpr1Jytw9czFoTB8Ce40iwZiQ5L0yld+jVNkSzJ28KEn545hY1i3ZxKrwxXgXyc/uzXvpM7wXsyfMx2jM+LN1jB4ymW0bk95zRN24hb9vAD/9rQdwgYKvcPPGLXx7dmDtrsVs3r+Ct4oV5XFMLJd/+oXPznzBtsOriYl5zKmjnzJ4ZF8mZoLe7ADWufNhjL6Nc69BuE2aj2twCFjbkPDDN9iXqwqOTmBri33F6lhnzwFAzKqF2L1bnqwLN5FlxnIer1+K6V40xohrxH/3FW5TF0HsY+IvfIaTT09ilmeOaTomDJvGzk3hT5UnJCQwfnYwm4+s4typ81z58SoA44eG0PnDjuz7fCsLNoQybvAUEhIS+OTopxjiDKw/sIxzpz4n4tdIuvXtxOyJC9K6ShYxduhUtm/823X7yBmu/JzYbnnyefGBXxv2bk+8bper8j6ly73DrEnzk6zzOCaW1Ys3sGHfcgoW8WbHpj0MDP6QGePmZopzJEBIYCjhm/cnKctfKB/Zc2Zj+urJrDqwmK4DO3H/7gOy58yGs6szpSuW4uNNM1ixfxEVa5Xnwb0HxMbEsnHJFpbumU+BwvkJ37If/6D/Z+++o6K69jaOfxk6IioK9hJLokmMMWoSe4uKSizEFhUbtij2hr33ir2BXbGBiAXF3jWJUWOMKTcaO2iMvVBm3j8wo1xNcu99nRkCz2etWYvZc/bZZc0p/GbvfTozb/yiNN+XsVdiObHnhPl9p2GdOBZzDE9vT25ev2lOv3X9FtlyZAOgVKUPKP5RcZZPWZFiX0+fPGXT0s3M3jKTvIXysjt8D+0HBbBk0pI034+vkpiYiO+nNfnxp6OUr/AhK5avp3DhN/DyysqmyGUcP76dQYN7cvfOPQCGDB7PsuWzCBrYg/HjZ9K6TVP27TvM5ctXbdwSkf+ORUbGZcmShbCwMDZv3kzfvn0pXLiwJYqxGoPh5ZhlUpLxlekAxqQkTCYTA3uOMqd17d2e9asj8cyahYkzRwAwa8pCzn37g0XqnBr9WT++qHP3trTp9DltmgSaR3dNGz+XaePnAlC/cR3OfPMdD+4/IHjRBFxdXVi+aA2H9h+3fANs7K1iRejRrzOflK3Prxev0LZjcxYsm05M9D5u3/qdD96qjIuLC4tWBtOhaysWzVnO9qhdbI/aBUD+AnkoVeY9pk2Yw/Bx/cmbLw/HjnzF4rnLbdwy23v7vaLMXDKR1aHrzaPbJs4dSejsFaxdFk6+N/KyNGIuZ74+y7ffnGPmhAXMnJB8s+/7mQ9nT33PgwcPmbxgDK6uzqxavJ6jB078VZFpyp8d2++8V5QWbRrR9NOAV+bTsZ2Sg4M9E+aPZMrQYG7F/Zbisxy5s9N7RCBfNOn5yhv1dUvCWbckHID3P3wPg8HAudPnGT59IFk8M7Mjcjfbw3dapR2pmYOjA3kL5OHB/Qd8XjeAfG/kYXXUYi7+convzpxnxvh5zBifHDCq16g23576jgf3HzJ94ThcXF1YsXgtR9Lod9LOwQHHDz7i/vBeJP30PY5lyuM+eCJ3OzfFtXl7PMbNwfjwPgmH9+KQP3npjQw9B/Mkcg3xOzZjyJmbjCNnkPjjOZJ+Ps+TNSE8WRMCgFOlGiT+fB7To4dk6DUMnJ15ui2cxDNf27LJNjEocCSj+09iWsg4OvVpS8jMFUxaMJphPcdwIOYIxT94h5krJnH21PfEXotjZJ8J5rwderZh05qtZPHMxKjpgwBYMG0J58+m/RkX/+7t94oya+kkVoWsZ1/MIXLmzs6AET0IaNLtlefI1aEbWB26AYAPPiqBncHA2dPnGDNjCFk8M7M9MoYtG3e8lC8tc3Bw4MNKpenXdjDxT+MZFjyQzkHtWTUvDAcHe3IXyEXXxr3IkjUzczfO4MbVWA5EH2Lj0k1sXJr8I3qJD4tjMNjx/ZkfGDytP5k9M7Erci87InbZuHWW4+LqTN9pffHKlY1B/kMYMm/QS9sYjUa8cnnRcWgHgpoPeuV3MmpZFFHLogB4p8w7GAx2/Hj6J3pP6UUmz0zs37yfPZv2Wrw9qcWWqJ1sidpJm7bNiNy8nKSkJKpVq0jTJh148uQpixZNZcSIfvTvP4ojR76kcqXk5RIyZ/agTZtm+NRqRt9+Xfjww5Kc//5nhg2baOMWifw9i4yM8/DwYNmyZVSvXp1OnTrRvn17IiIiuHz5MvHx8ZYo0qKuXbmBd/Zs5vc5cnpx43os165cx8s7W4pts+f05vq1uBRpuXLnoGLVsqxdEUHPAZ0JnbeSEQMmMHxcf9KTP+tHACcnR4IXjudTPx8+82n9yqm8GdzdaN2+GXOmL6Ztpxbs3XmQbu0HMGRs+hjOXbl6Ob46/g2/XrwCwLLFYbxVrDA+dauxdlUECQmJ3L//gA1hmylX4cOX8g8d058xw6ZSvvJHZHDPQPuW3alSvTz538hr7aakKrUb1GDxuplMHzuHRcHLAMjsmYkPPirBhpWRAFy6cJmj+09Q6uOSKfK6ZXCjRfvGLJyxBP+OzTgQc5g+HYcQNLqX1dthS392bPs18cU9YwY2bFvKlr1heOfwYvr8sVT3qZwif3o/tv/wdomi5MqXkz4juxO2aymNWjWgVv1qDJsaRI1Pq+Li6sKcNdMI27WUt0sUpeewrjRq1SDFPgwGA90Hd2bGqDnU+awW1y5dp1ebINp2a4mzi5ONWpZ6xN1IHr0QvmYLAJcuXOHr46d474N3UmyXIYMb/u2bMm96KG06fc6+mEP07DCQwWNefqBGWmG8fYukq5dI+ul7IHmaKgYD9gWL8GTzWu71bseDoT0w3rtL0o2r2GXMhEPR4sTHJI+UNV6/SsKZr3F4u0TKHbu44ly7IU82rsTZtxEJJ4/ycNpI3Nql/SnULypX5SO8np0nHz96zPZNMRQr/haFixbExc2FAzFHAPj25Hf864cLFP+372SO3NkpW/lDwldt5gElu7kAACAASURBVIt+7Vm+IIzxg6YyYExPq7fF1uo0qEHI+llMGzOHhcFLAahVrzoubi7mBy+9834x+g3vTtPWfinyGgwGeg/pyuQRM/m0UW2uXrpGYOt+dOjW+qUHQaR1N2NvsT/6II8ePCIxIZHojTEUL/U2v/92h4T4BKI37MRkMnH71u8c2nWU4qXeTpHfYDDQZVBHZo2ej49fDa5duk7/tkPwD2yeZq83Xrm8mL5pOkZjEv2aDuDhvYfEXb2Jp7eneZtsObJy6/pNKvlWxNnVmXErxjAveg5vvleEDoPbU7dlnRT7NBgMBAS1Y+HYxVT3q0bs5VhGBIykadcmOKXRfnxRwYL5KVu2tPn98mXryJcvN0+fPCVq8w7u339AQkICa8Ii+PCjD17KP3RYHyZPnkPevLmoWqU8TRp3wDNrZqpUKWfNZoj8Tyz2AAc7OzsaN25MTEwM/v7+nDx5ki5duvDRRx9ZqkiLidm+j8Yt6mNvb09GD3d8G9Zi57Z93Lgex68XL+PbMHmx7IpVy2I0Gvnh3E8p8g8c2YsJI2ZgMplwcnIiISERo8lkXgckvfizfgSYHToZ94wZaFSnNVcvX39l/u79OhEybyWPHz3BydmJxMRETEYjrq7pox/Pnv6ej8qXJtuzJwzVqluNy79e5ezp7/FtkPwddHBwoIZPFU5+dSZF3uo1KxF7I47vvj2Ps5MTiQmJAJhMJlxc0kf/vUpN32oMHNubDk27s/WFUUN3bt8l9locNZ8trJ/ZMxOlypbkzMnvUuTv0rc9y+avSf5OOjmSmJiI0WjUsf3s2B49ZArVP2qAb9Vm+FZtRtyNm/TqPJjd0ftT5E/vx/Yfznz9HbVL+dHskzY0+6QNG5ZvYkfkHkb1mcCK+WHU+7iJ+bNzp88zY9QcNizflGIfjds05EDMYW7G3kruy4RETCYT9vb25ifWpmdXLl3j7Onv8WvmC0BWL08+KPMeZ099n2K7wH4dWDJ/1bNjO7kfjUajeS3YtCjhmxMYvHIkP0EVcHj7PcCEQ+GiuHV+tg6PiysunzYm/sAuTPfvYrx9E8eyycF1u4yZcHj7PZJ+Opdiv65N2vAkaj08fYKdoyOmxCQwmsAp7fblq9SsV43OfdoB4OjkSM161Thx6GsuX7iCe8YMlCid/DCHPPlzU7BIAc5/m/JHyd7DA5k+es6ze0nHZ99JU5r+Tr5KTd9qDBrbh/ZNurM1/PlItqXzVlPrQz/8qrXEr1pLvjv1PZNHzmTtsvAU+Zu1+Yx9Ow8lnyOf3ZObTCbsHdLfOXLv1v1U861iDpxV9qnAudM/kJiQyKGYI9RunHxv6ermyoeVSnPuVMrZPH6t63Mo5gi3Yn/DydmRxMTkmUEODvbYp8G+zJjZnanrJ3N4+2HGdZ1A/JPkASZHdx6lWsOquLg64+jkSI3GNTiy4ygbF4bTpkI7vvDpyhc+XfnxzE8sGruYrStTLqvg61+XY7uOcTv2No7Pju30dN3OkcObZctnkTVrFgCaNWvAue9+JDR0DQ396uDyLEj+6ac1+frr0ynyFi9ejHz5crNt6y6cnZ1ISEz+/8ZoNOHq5mrdhsgrmf5hL2uzyBH+4hpqBoOBypUrU7ly5b/IkbqtWrKe/AXysHX/WpycHFm9bAMnjiRPrejRYSDjpg+la+/2xD+NJzCgf4r2l6/0EY8fPebU198CsHjuCsZNGwLApNGzrN8YG/qzfiz1YQk+8anMLz9fZP3WpebtJ44K5uDe5IWeCxV5g7eKFWb8s7V71izbwIwF4+nauz1zpi1+VXFpzpGDJ1gwaylro5Kf6nfn97u0b9mduNhbjJo4iD3HNmM0JnF4/3HmBYea8zk5OdK9XydaNU5+2tCBvUfwD2hG9IENfPPVGX74/qc/KzLN6zm4C3bYMWraYHPaNyfOMGbgZAJb9WPQuD507tUOo8nI4pnLOHn8lHm7gkUK8GaxQkwZOROAdcsjmDRvNJ16tWXB9NCXykrL/uoc+Xd0bL8+mT0zUeezWgQ06AJAdEQM05aMp06jWkRHxKTLtSJfpWvrvgyfOIBmrf0wGAzMnrKYb089DyAVKlKAN98uzMQRyetAhi0LZ+qCMXzRO4B5afjYNt25zcNJQ3Dr0BM7F1dMCfE8mDSMpB/PYV+gEB4zloDBnqcxW0g4lhxQfzh+MK7tu+Pa2B+MJp6EryLx+2/N+zTkzod9/jd4vDx56u/TnVFk6DkU10b+PNm44pX1SKumjpjFkEn92bhvJSaTib3bD7Bq0TpMJhO92w2k/5heOD8LoI/uN4krvz5f++ijiqV58ugJ3z77QWj5/DUMmzIAgOCx6WMdvj/0HtIFOzs7Rk9/8bp9mtFBk/82b2bPTNRr5IN//U4AbI3Ywexlk6nXqDZbw3fw8MFDi9U7Ndq4NBKPzB4sjV6Iwd7AD9/+RPDI5KUjxvebQq9R3VizbykGewM7I3azd+vzH9IyeWbCx68Gnf26A7Bz0x4mhY7Bx68GOyJ28SgNXm98/X3xyu1FeZ9ylPd5Puqqf7MgDm0/zMyomTg6OXBk51FiNvxn03Q9snhQ3a8afRolzwTYG7mPEYuHU92vGnsj96XJfvx3R458yaRJc4iODiMxKYnr12Np2rQDly9fI4tnZg4d3oK9vYHTp75jYNDYFHnHjx9Mz55DAfjuux+4GXeL48e3c+HiZWJ27n9VcSKpip3pxcjRa3L79m08PT3/fsP/UMFsJf9+IxErSTQm2roKaUJGR7e/30j+I4+T/nnT/1OjTA76Tr4uD5Oe2roKacLxSu62rkKaUeWwzpOvQ7zugV4LXW9eHw/79DU61FIO/3be1lVIMx4+umjrKqQa63O2sHUV/iuNr6+yankWGRmXOXNmwsLC2L59O7GxsRgMBry9valUqRL+/v44OjpaolgREREREREREbGx9Pds4P+ORYJxw4cPx2g00q1bN7y9vQGIi4sjMjKSgQMHMmXKFEsUKyIiIiIiIiIikqpZJBj35ZdfEh0dnSItX758lC5dmrp161qiSBERERERERERkVTPIk9TdXd358yZMy+lf/PNN7i5aY0EERERERERERFJnywyMm706NH079+fp0+f4uXlBcDNmzdxdnbWFFURERERERERkTTMaGfrGqRuFgnGFStWjKioKK5du0ZcXBwmk4ns2bOTK1cuSxQnIiIiIiIiIiLyj2CRaap/yJUrF++//z4lS5Zk5MiRlixKREREREREREQk1bPIyLhXiYuLs1ZRIiIiIiIiIiJiI0Y0T/WvWHRk3ItMJpO1ihIREREREREREUmVrBaMW7hwobWKEhERERERERERSZWsNk3V29vbWkWJiIiIiIiIiIiNaG7kX7NIMG727Nl/+XlgYKAlihUREREREREREUnVLDJNNSkpiZCQEIxGoyV2LyIiIiIiIiIi8o9kkZFxPXr0IC4uDldXVzp06GCJIkRERERERERERP5xLPYAh4EDB+Ll5WWp3YuIiIiIiIiISCpktPtnvazNYsE4d3d3GjRoYKndi4iIiIiIiIiI/ONYLBgnIiIiIiIiIiIiKVlkzbhNmzb95ecaMSciIiIiIiIikjbpcZ5/zSLBuGPHjrFjxw58fHxe+bmCcSIiIiIiIiIikh5ZJBg3YcIE7ty5Q6lSpWjUqJElihAREREREREREfnHsdiacaNGjeLu3buW2r2IiIiIiIiIiMg/jkVGxgF4e3sTEBBgqd2LiIiIiIiIiEgqZLJ1BVI5iwXjDh48SHR0NDdu3MBgMODt7U2lSpWoVauWpYoUERERERERERFJ1SwSjAsODubMmTPUq1cPb29vAOLi4tiwYQOnTp1iwIABlihWREREREREREQkVbNIMG7btm1s374dgyHlknS+vr74+voqGCciIiIiIiIikkYZ7Wxdg9TNIg9wcHZ25saNGy+lX7t2DScnJ0sUKSIiIiIiIiIikupZZGRcUFAQLVq0oECBAnh5eQFw8+ZNLl68yPjx4y1RpIiIiIiIiIiISKpnkWBcuXLl6Nu3LxcuXMDe3p68efOSPXt2SpQoQUREBB9//LElihURERERERERERsz2roCqZxFgnFTpkzhu+++o2DBgmzbto2goCDKlCkDQFhYGE2bNrVEsfI34o0Jtq5CmpBk1Gnldbj99D6ZndxtXY00wd7OIisOpDtejhltXYU0Q9/J16PWUZOtq5BmLHH0snUV0oTepoe2rkKa4GznaOsqpBlOdva2rkKa4OqgpaRErM0iwbj9+/cTERGBg4MD/v7+tGvXDicnJ2rXro3JpBtLEUGBOBEREREREUmXLBKMM5lM2NklPzqjQIECLFiwgLZt2+Lp6WlOFxERERERERERSW8sMo/Ex8cHf39/zpw5A0CRIkUIDg6mZ8+eXLp0yRJFioiIiIiIiIhIKmD8h72szSIj4wIDAylVqhQZMmQwp5UqVYrw8HBCQ0MtUaSIiIiIiIiIiEiqZ5FgHEDZsmVfSsuZMyeDBw+2VJEiIiIiIiIiIiKpmsWCcSIiIiIiIiIikv6Y9LiAv2SRNeNERERERERERETkZQrGiYiIiIiIiIiIWImCcSIiIiIiIiIiIlaiNeNEREREREREROS1Mdq6AqmcRsaJiIiIiIiIiIhYiYJxIiIiIiIiIiIiVqJpqiIiIiIiIiIi8tpomupf08g4ERERERERERERK1EwTkRERERERERExEoUjBMRERERERERkdfG9A97/bcmTpxIUFDQ/5AzmYJxIiIiIiIiIiIi/4GjR48SERHx/9qHHuAgIiIiIiIiIiLp1r1797h3795L6R4eHnh4eJjf37lzh+nTp9O5c2fOnz//P5enYJyIiIiIiIiIiKRby5YtY/bs2S+lBwYG0q1bN/P7YcOG0atXL65fv/7/Kk/BOBEREREREREReW2MdrauwX+nbevWNGzY8KX0F0fFrV+/npw5c1K2bFnCw8P/X+UpGCciIiIiIiIiIunWv09HfZVt27Zx8+ZN6tevz927d3n06BHjxo1j0KBB/3V5CsaJiIiIiIiIiIj8hSVLlpj/Dg8P58SJE/9TIA4UjBMRERERERERkdfIaOsKpHIKxomIiIiIiIiIiPyH/Pz88PPz+5/zG15jXUREREREREREROQvKBgnIiIiIiIiIiJiJZqmKiIiIiIiIiIir43WjPtrGhknIiIiIiIiIiJiJQrGiYiIiIiIiIiIWImCcX9i0qyRtO/qD4DBYGDo2H7EHA1nz4lImrdpZN6uQMF8rI0KYcfhjUTsXEHBwgUAcHR0YPHqYLbuW8uYqYPN2+crkIflG+ZZtS2pgU/d6sQcDGfH/g2siwwlf4G8LFg6jR37N5hf5y4eJXTVLABatG7MnqORRO5YSd58uc37Wb52LoXfLGirZthU42b1iDkYbn4dP72TSzdPk80rK2d/PpTiM7/GvgDU8KnCvqOb2bl/AyXef8e8rynBI6lYuaytmmJT42YOo22XFgA4uzgzZsYQIvetJupAGGNmDMHZxRmAfG/kIWT9LML3rCTqYBhtvmhu3kf3AZ2I3LeaJRvnktHDHQAHB3tWbVlElqyZrd8oG5k4awQBXZ6fJ4eM7Uv0kY3sOrGJz1t/Zt7uo/Kl2bR7FVH7wlgRsYCi7xQBks+TC1fNYPPeNYyeMsi8fb4CeVi6fo51G2MD1RtWY96OucyLnsP0iGkUeS+5X5oFNiVk7yKWHAzFv1fLl/K5Z3Jn2aElVKxTwZzWum8rFsTMY1LYBDJ4ZADA3sGe6eFTyeSZyToNsrHhMwbRsnMz8/uYs1Gsigk1v3z8agBQuFghQiLnJqfvDKFctY/MeYZNH8jqXUuYsmQc9g72AGTM5E5o1DwcnRyt2yAbGjY9iBadm5rff9a6Act3LGLt/uWMnDXY3BeFixVkUeRsVsYsZsXOxZSt+rwvh04PYlVMCJNDx6Toy5DNc9N8X+Ye2pZ3jy2maPR0ikZP5425/QAounUqxXbPNqd7d2qYnMFgIGevZhTdNo23980l9/AA876ytahFsd2zeXPTRJzyepvTCy0bikvhPFZtly0FTetH006NgeTrTa9xPVi6J4Sle0L4YkhH83ZlP/mYzWfDWbxjvvnlmsEVgAFT+7J45wLGLB5p/k66Z3JnTuTMNP+drNawKvN2zGFu9GymR0xNcb1ZvHchSw6G0LJXC/P2Ti5OdB39BXO2zyZk/yIadXp+TW/V15/5MXOZGDY+xfVmWviUNH+9qdKwCjOjZxG8fSaTwidT+L3C2NnZ0WZQW+bsmsOsnbMZuGAQHp4eQPJ39fNezZmxdQbz9s6n/bD25n35tPBhzu65TI6YQva82c3pw5eOIE86OrYBir39JpFbV7Dn4CZ27dto/p+lZ5/OHP0qmhOnYug/sJt5+1o+VTl0fCt7DkTwfsl3zenTZ46hUpVyVq+//DnTP+xlbQrG/ZtCRd5gZcQC6tavYU5r3voz3iiYD58KjWlQoyVtOzXnvZLJJ4np88eyaul6apX/jBkT5zN36RQAKlUvz41rcdSt0pTceXLyZtFCAAwa1Ztxw6dbv2E25OLizMz54+nQqge1KjdiZ/ReRk0YSKc2valVuRG1Kjeif88R3Lt7n8H9xwLQtWcAPpUbEbJgFa3bfw5A3Xo1+PGHX/j5x19s2RybWR+2mRoV/ahR0Y/aVZsQF3uLwf3GkilTRu7cuWf+rEZFP8LXbwGg38BAGtdvR1CfUQT2Sr4BKFHyXTJ6ZOTg/qO2bI7VFSxSgCUb5+JT7xNzWueebXFwcKBB1RbUr9IcFxdnOvZoDSQH7bZv2oVftZZ8XieApq38+KhCadwzZqCGb1XqV2nO4X3H+LRRbQD8OzZja/hOfv/tjk3aZ02FihRgefh8atd7fp5s1voz8hfMS92KTfCr4U/rZ+dJ94zuzFk6mYkjZvBplWYM7zee4MUTcHJypGK1cty4Fku9qp+TK29Oijw7TwaN7MWEETNs1TyryFMwD+0Ht2ew/xC+8OnK6plrGL5wKGWqlqFS3Yp0rRNIx086UaLce1TyrZgib//pfc3/AAG4ZXSjQu3ydKrxBV8fOEn1htUAaBjQgL2R+7h7+65V22ZtBYrkZ976GdSoV9Wclr9QXu7duU+LGu3Mr+jwGABGzx7K8nlraFGjHcO6jWH8glE4ODpQuFghsmXPSvNP2vJb3G+UrZIcWPqif3tCg1eQEJ9gk/ZZU4HC+Zm7bjqfvNCXVWpXpEk7PwKb9qZZldY4uzjzecfkoMjIWUNYOS+MljXaM7zbWMYtGPGsLwuSzduTFjUC+C3uNmWrfAhAp/4BLJmZ9vsyQ6miXOg6hfM+vTjv04sLXSZjcHXGKX8Ovq/Vw5wetyACAO8AX9zLvssPfkF8X7M77h+8RZZ6ycd99i6fcb52T26GbsGrdR0AMtcpx5OfLvPk5ys2a6O15Cucj2lrJ1Pl08rmtJqffULeQnlo90kHAmp2pMTHJahctxIA75Z+h7Xz19O+Vmfz6/HDxxQs9gZZs2elfc1O3L55mw8rlwYgoF8bVs5claa/k3kK5jZfb7r4BLJ6ZhjDFg6hTNUyVKxbka51utHxk86UKFfCfL0JGNiOjJkz0q1ud7r59uDT1p9StGTRZ9ebCnSu0eWl682+yP1p+nqTu2Bu2g5ux/BWw+hRuztrZ61l0IJB1Ghag8LFC9OjTg+61Qzk+q/XCRiafM/9abt6FP+4OP39+tOtViBvfVCUip8mf1cbfdGIHrW7szl0M3Vb1QWgXJ3yXP7pElfSwbH9B1dXFzZsCmVW8GKqVWzA1Elzmb94Kp/UrEy9Bj5Ur9SQih/VpULFj6jfMPmee8Cg7vh92pp+fUbQvVdyML7kB8XJ6OHOgX1HbNkckf+KHuDwb/wDmrBh9WauXblhTqtZtxprlm8kKSmJe3fvsyViBw0a1yX2ehwFixQgKnwHAPt3H2b05EG8815R4p/G4+LqAoCLqwsJCQlUq1mR2OtxnP/uR5u0zVYM9gbs7OzI6JERgAwZ3Hj69Kn5c0dHB6bPHcuIQRO5fjW53xMTEnFydsLNzZWE+ARcXF3oFNiGz/062KQNqU1gzwBu3brNiqXraNqiIcakJDZELSGLZ2a2RO4keMoCjEYjT5/G4+rqgpubG/HPbjSHje5Ljy8G/U0JaU/zdo2ICIsyf8cAvjz2DdcuXcdkMmEymfj+7I8Ufit55OXGVZvZHpn8z/uD+w+5dOEyufLk4PTX32IwGHBwsMfNzZW7d+7h5Z2V6rUr06p+Z5u0zdpaBDRh45rNKfqyZp0qhK2IMJ8nt0bsoH7jOkSs3cL9ew84evBLAH75+SIP7j/k/dLvEf/s2IbkoH1CfAJVa1Qk9kYc57/7ySZts5aE+ASm95/B7bjbAPx05keyeGWhkm9F9m7ax5PHyefIHetiqO5XnQNbDgLQokdzfjl/AVd3N/O+khKSMBgM2DvY4+Lmwv079/H09qRczXL0bdzP+o2zsiZtGhK1djs3rsaZ094rXRyjMYn5G4LJlCUTu7fsIzR4OUajkZY1A0hKSgIgT4Hc3L97H2OSkYT4eJydnQBwdXMlISGBIm8XInsubw7tSh83943aNnjWl7HmtLqNa7F6wVru3bkPwIQBU82jiFrV6vBCX+biwb0HGJOMxMcn4PSsL11e6su0/UOQnZMDbu8UJHunBjjlz8HTi9e5MjIE5/w5MT56QuFlQ3H0zsK9Q2e4NnEFpifxeH5WlatjlmJ6Eg/AL50mYIpPBMCUmIidkyMGV2dMCYnYuTiRvVMDfmo+3JbNtJqGbeqxfd0O4l44vg32BlzcXHB0csRgsMPByYH4p8l9907pt0lKSKJSnYo8ffyUxZNCOXP8WxKevviddCEhIZFCxQrildObo7uP26Rt1pIQn8CM/jO4Hfc7AD+arzcV2LtpL0+fXW92rttJNb9qHNhykOp+1ej+aQ+MRiOP7j+if9MBPLj74Nn1xu6F680DPL2zULZmWfo17m/LZlpcQnwCs/rP5Pdn/fjzmZ/I7JWFaxeusWRsKInPjtmfz/xkDq5V+6waoWNDzN/P8Z3Gk5iQfD+emJiEo5MjLm7OJCQk4uziTMOODRnWYqgNWmc7VapV4MKFy+zauR+A7dt28+uvV+jQyZ/w9VE8evQYgNUrN9K4aT0iI7bzND4eVzdX3NzcSHjWnyNG96dr5wE2a4fI/8Jqwbjff/+dLFmyWKu4/9mIoIkAlKv0oTktZ+7sXH/hxvT6tTiKvl2EnLlzEHfjJibT80GNN67FkiNXdvbsOECd+jXYsjeMXdH7uHr5OlPmjKZt00DrNSaVePTwMUF9RrMpeiW/376Dvb09DWs/n3rVrOVnxF6PI3rrbnPahNEzWL95Cbdu/kavrkPo1qsDyxaH8fDBI1s0IVXx9MxMp8A21KycPF3awd6e/fuOMnroZFxcXVixdh4P7j9g0bwVjBk+lfmhU3jy5Cn9e46guf9nHNp/jCuXr9m4FdY3ZmDyqNWPK5Yxpx3Z9/wGPFeeHLTq2IzhfcYDEBG2xfxZhaof836Z9xjScwxPHj9lVcg61u1cxq+/XGbhzKWMnDKQGWPnYTSmj2cGjQqaBKQ8T+bInYMbLwTnblxPPk9e/Ncl3DK4UaHKxxzad4zi779NkbcK4Z09G1s37aR2vU/YvHc1u7bv59qV60yeM4qAZt1eKjOtib0SS+yV59eVTsM6cSzmGJ7enny9/2tz+q3rt8iWIxsApSp9QPGPijOo5WAmhk0wb/P0yVM2Ld3M7C0zuXrhGmGz19JjQneWTFqSLr6TkwYnj6IsU6GUOc3ewZ7j+78iePRcnF2cCV4xiYcPHrJm0Xpz8GjT0TBy5s3B1KEzMRqN/Pqvy5w6cYZVMaF89805Thz4itlrpjI+aKpN2mULUwYHA1CmwgfmtLwF85Il63mCV00iW/ZsnDpxhlmj5wOY+zL8yGpy5s3BtGGzMBqNXPrXZU6f+JaVMYs5e/J7Thz4mplrpjAxaJr1G2Vljtk9uX/kDFcnrODpL1fx7tSQQiGDuT59DfePfMvlIQswJSRSYGZvcg/w58rIEFwK5salSF6yd/0Mx6yZuBNzgutT1wBwbcIK3lw3loRbd/i1dzA5ujXm5rJtGB8+tnFLrSN4yGwASpUvaU6LXreTKr6V2fBVGPYO9nx54GuO7joGwL3f77Fz4y4ORR+meJl3GRM6ivY1O3L5lyt8e+Isi3fM59w35/n64Ekmr5rA9EHBNmmXNcVeiSP2yvNgZqdhHTkWcxxPb0++2n/SnP7H9SZT1ky4ubtRskJJek7qibtHBnaui2FTaCQAkUs3M2tLMFcvXGPt7HV0n9CNJZOWpvnrTdyVOOJe6MeAoe05sesEZ4+fNadlyJSBZj0+Z/vK7QDkLpiLfEXy0bhrEzw8PTgRc5zV01YDsHziMsavHc+dW3eY0WcGjQMbs235Vh6nk2P7D4ULFyAu9iYzZo/l3XeLcvfufUYOm0SuPDk48MIsnmvXYsmVKwcAI4dOZtGS6Tx5/ITePYbRslVjDuw/mi7/v0ntjHa2rkHqZpFg3PXr15k2bRqurq506NCBLl26cOvWLdzd3Zk1axZFixa1RLEWYzC8PJs3Kcn4ynQAY1ISJpOJgT1HmdO69m7P+tWReGbNwsSZIwCYNWUh5779wSJ1Tk2KFitCr36dqVa2Pr9evEy7ji1YuGwGNSslrz/R4Qt/BvQamSLPtqhdbIvaBUD+AnkpVaYEUyfMYcS4AeTNl5tjR75i0dzlVm9LatCyTRN2bNvD5V+vArBq+QbzZ/HxCSycu4yATi1ZNG8Fx49+TZ3qyWsoZcrkQfNWjfjMtzXde3fkgzLv8eP5fzFuZPqaNv0qb79XlFlLJ7EqZD37Yg6l+Kx+07oMGNGDngFB3Iz7DYDVoRtYHZrcZylYjgAAIABJREFU7x98VAI7g4Gzp88xZsYQsnhmZntkDFs27rB6O2zJYHj5aptkNPLgwUO+aNWb3oO60H94D748dpJjh74kISEBk8nE4F6jzdt36R3AhtWRZMmamfHByaM+5kxdlKbPky6uzvSd1hevXNkY5D+EIfNeHrVqNBrxyuVFx6EdCGo+6JX/8EQtiyJqWRQA75R5B4PBjh9P/0TvKb3I5JmJ/Zv3s2fTXou3J7XYtCrK/HdCfAKrFq6laUAj1ixab05vULYZufLmZNGm2fzy40W+OnySeRMXM2/iYgBqf1aT706f5+H9h4ybNwIXV2fWhm7k+IGvrN4eW3JwcODDSqXp13YQT5/GMzx4EF8EtWf68NnmbfzKNSdX3hwsiJjFhR8v8tXhb5g/KYT5k0IA8PGrwblTyX05Zt4wXFxdWBcazok02Jfxl+P4V+vn57W4BRHk7NGEx99f5O7OE+b0G7M3UHBhEFdGhmDnYE+GD97kX61HYefoSKElg/FqW5ebIVHc2X6UO9uT/yF1yp+DDB+8xfWpa8gzPACnfNl5cOwscYs2W72dttS6tz93frtDw5KNk9d+DRlJk46NWLdwA8M6PL+f/PbLs3z31XeUqliK6HU7CJm8hJDJSwCo4Ved86d/4OH9RwybMxhnV2fCl2zi64Mn/6zYfzxnV2f6TuuDVy4vBvsPYfCfXG8cHB2wd7AnZ/6cDGgaRKasmZi8biKxV+M4uuMoUcu2ELUs+QfL5OuNgZ+eXW88PD3Yv/kAe9Pw9cbZ1Zme03qRLWc2RrR6PkI1R/4cDF40hHNfnmPrs/6xd3DgrZJvMaL1cBwdHRkaOgzftr5sDtnMke1HOLL9iDlv0VLFWD1tNe2HdyB73uycPXaWyMWbbNJGa3JwdOCTmpVp4OvPya/OULtOddZsWMRPP/zrpW2Tnt3/HDv6FTWrJg9KyJTZg5atG1O/Tkt69ulM6TIl+OH8vxg9YopV2yHyv7DImnEDBgygRIkS5MmTh6ZNm9KtWzeOHj3KhAkTGDVq1N/vIJW5duUG3tmzmd/nyOnFjeuxXLtyHS/vbCm2zZ7Tm+vX4lKk5cqdg4pVy7J2RQQ9B3QmdN5KRgyYwPBxaXs49x8qVy/Pl8e/4deLlwFYungNbxUrTBbPzLxTvCj2DvYcPfzln+YfNqYfo4dNoULlj3F3z0BAy+5UqV6BAm/ktVYTUpV6fj6sXRVhft+o6acUe+fNF7awIyEh8aV8/Qd3Y+a0heTOk5MKlT+mzeeBeHpmpkKlj61Q69SrToMahKyfxbQxc1gYvDTFZ/1H9qB7/460a9yVowde/o4aDAZ6D+nK5BEz+bRRba5eukZg63506Nba/CCI9OLalRt4Zfcyv8+ew4sb12Kxs7Pj0cNHtGzQiXpVP2f0wMnkK5CHXy9cTpE/Z+4cVKjyMetWbqJH/84smb+SUUETGTIu7U6z9MrlxfRN0zEak+jXdAAP7z0k7upNPL09zdtky5GVW9dvUsm3Is6uzoxbMYZ50XN4870idBjcnrot66TYp8FgICCoHQvHLqa6XzViL8cyImAkTbs2wcnFydpNtJk6jWpRuFgh83s77EhMSMTB0YGa9atjZ5ccPL52+TonDn7NW+8WSZHfLYMrTdt9RuiM5XzesQmHdh9lYOfh9B7V3artSA1uxd5iX/RBHj54RGJCItEbd1K81Ds4ODpQo361F/ryBl8e/Jo3X9GXTdr5sSR4Bc06NObwrmMM7jyC3iPT5kwB16L58fSrkjLRzg73Mm/j/tHbLyTZYUpMHlkYH3ub3zcfwhSfiPHhY37fegT3Ui//cJ1nWDuujllCxgrvYXB35ZeAcXhU+QDnAjks2aRUp5JPBbatjSYxIZGH9x+yY/1OSpZ7H3ePDLQI/DzFtnZ2diQlprwncs3gSsO2DVg5czWN2vtxdM9xRnYZQ+CILtZshlV55fJixqZpGI1G+puvN3F4ej+ftZQ1RzZuXb/F3d/ukhCfwO6NuzGZTNy5dYfju0/w9gfFUuzTYDDQLqgti8YupppfNW5cvsHIgFE07do4zV5vvHJ5MTliCsYkI4ObDuLhvYcAFC9bnMkRU9izYTdzBz1/ANXt2NsciDpAYnwijx8+5tDWQxT94OVjO2Boe0LHhFCifAlcM7gytv0YSlX5gJz5c1qtbbZy43ocP//4Cye/OgMkT1O1t7fHaDSRPcfz+8qcubJz7YUZGH8YOKQnM6bMJ0/eXFSqXJaWzb7A0zNzun1QnfyzWCQYd+/ePVq2bEnHjh1xcHCgZs2aAJQqVYqHDx9aokiLitm+j8Yt6mNvb09GD3d8G9Zi57Z93Lgex68XL+PbsBYAFauWxWg08sO5lGsdDXy2GLnJZMLJyYmEhESMJhMubi62aI7VfXv6HB+XL002r6wA+NStxuVfr/L77Tt8XL40Rw6e+NO81WtWJvbGTb779jxOTo7mIJPJZMLFJX3034syZfLgjTfy8eXxU+a0t4oVof+gbhgMBlxcnGnXsTmbw7enyPf2u2+RJ18udm7fi5Ozk3m9CqPRhGs6+R6+Sk3fagwa24f2TbqzNTzlSLZBY/tQ+uOSNKrZmvNnX71+WbM2n7Fv5yFuxt4yH9smkwl7B3scHNLXkpy7o/fTqHm9FOfJXdv3YTKZWLRmJu+WSL6J96n3CQkJiS+tCRc0sieTRgYnnyedHUl8dp50dU2b38+Mmd2Zun4yh7cfZlzXCcQ/Wyvq6M6jVGtYFRdXZxydHKnRuAZHdhxl48Jw2lRoxxc+XfnCpys/nvmJRWMXs3XlthT79fWvy7Fdx7gdextHp+R+NJlM2Nunr+9kobfeoHP/AAwGA84uTjRp50fM5j0kJiTyxYD21GxQHYBs2bNSunxJTh47lSJ/hz5tWbVgLU8eP8HpWT8ajSZcXNNXkB1gz9b9fOJbBedn/1xX9qnIudPnSUxIpHP/gBR9Wap8Sb45ejpF/vZ92rB64brnfZn4R1+mzWPbZDKRZ2QH85NPs7WqzePvL2LI4ELuIW2xc3ECgwHvDvW4E5U8EvvOtiN4NqwMdnbgYE+m6qV5eDrlOdKjemkSYm/z+LsLGJwcMSUkPSsQ7NLZjz8/nv2Zqr5VgOQp6eVqluXcye959OAxDdrUp1Kd5IcQFH6nMEXff4sTe1P+mNamlz/rF27kyeMnODo5kpSQiCkNH98ZM7szZf0kDm0/zPgU15tjVGtYFedn15uajT/hyI6jJCYkcnzXcT5plPzAKxc3Fz6oWJIfTqdc89rXvy7Hdx1PN9cb90zujF83niPRR5gcOMm8DlzRUkUZtHAw03tNI2JhRIo8h7cdpmrDqtjZJa+z92H1Mvz0b8d2mepluB17m1+++wUHZ0eSngXpTSbSbFDzRbtjDpA3f27zE1TLliuNyWRiwdylNGr8KW5urjg5OfJ584Zs27orRd533i1K3ry5iN6+J/k+PPGP/2+MuKXRa4ykLRY5U7q7uxMWFsaDBw9ISkpi7969VK1alZMnT+Ls/M+70K1asp78BfKwdf9anJwcWb1sAyeOJK/p06PDQMZNH0rX3u2JfxpPYED/FGvIla/0EY8fPebU198CsHjuCsZNGwLApNGzrN8YGzhy8ATzZy1hfdQSEuITuPP7Xdq1TF4T6o2C+bl86eor8zk5OdKzXyf8Gycvin9g7xFaBzRj54GNnPzqNOe/T9sLvL9KgYL5iI29ReILv/JOmziXsZOHsPdIJA6ODmzZtCPF1FWA4WP6M7BP8qjU8+d+4tat2+w+HMGli1fYuyvltMz0pPeQLtjZ2TF6+mBz2jcnTrNo5jJaBDTm2uUbhKx/PhVrxcIw81pymT0zUa+RD/71OwGwNWIHs5dNpl6j2mwN38HDB/+8Hx7+P1Yv2UC+AnmI2rcGRydHwpaFc+JI8nSfPp0HM3b6EBwdHYmLvUWX1n1S5C1X6cNn58nkdVdC5q5k9NTk8+SUMWnzPOnr74tXbi/K+5SjvE85c3r/ZkEc2n6YmVEzcXRy4MjOo8Rs2PUXe3rOI4sH1f2q0adR8mjCvZH7GLF4ONX9qrE3ch+P0tGamwunLWHA2F6E7V2Gg4M9u7bsM09d7dtuMAPG96JVl+aYTCaCR83l+9PPp0IXKJKfwsUKETxqLgDhKzYzZu4wAnq2InRG+lseYcPSTXhkzsiy6EXY2xs4/+1PBI9MHvnRP2Ao/cf1xL9LM4xGE7NGz+f7My/0ZeH8FC5akJmj5gEQsXIzo+cMpV0Pf0KD02ZfPvnhEleGLaTQkiHYGQzEX/+NC4FTSLj+G875clBs2zRwsOfBkW+5PiMMgGuTV5F7YGuK7ZqFnYOB+wdPE7f4+dRTOycHcvZoys+tkqdg3jvwDdla1abojhk8PPkDT87/apO22sqcEfPoPiaQ5ftCSUoycvLwN6yeG4bRaGRIu2F0Hx1I296tSEpKYmSXMdz9/Z45b77C+XijaEHmjVkIQNTKLQydPQj/7i1YMXOVrZpkUX92vRnQbCCHtx9hVlQwDk4OHN15jF3PrjczBgTTeURnFu5egMHewN5Nezm07fn9okcWD6r5VaPvs+vNvsh9DF88LE1fb+r41yFbbi/K1ipL2VrPR13dvX0XOzs7Wge1oXVQGwBiL8cyruNYVk5eQZtBbZi9aw729vacOvgNkSGR5rwOTg407d7MPN31mwMnqetfh5nRs/jhm/P8+kPaP7bj4m7R6vMuTJo2Ajc3V+KfxtOmRSDHj31NsXfeYufeDTg5ObJ9627Wrk4Z7Bw1Noj+fUYA8P25H7l18zb7j2zm14tX2L3roA1aI/8uba8k+f9nZ3oxcvSaXL16leDgYIxGIz169GDAgAH88ssvuLi4MGvWLIoXL/5f7a9gtpJ/v5H8rXhj2n1suzUlpfEFaq0ls5O7rauQZiSakmxdhTThDRevv99I/iO3E9NXMNpSDHYWmcCQLs23z2zrKqQJvU06tl8HZztHW1chzXCys7d1FdKEo3d+/PuN5D9y65768g8T8rf8+41SkaBfV1q1PIuMjMudOzeTJk0yv1+9ejW3b9/G09PzL3KJiIiIiIiIiIikbRYJxhmNRtatW0d0dDQ3btzAYDDg7e1N5cqVadmyJY6O+jVIRERERERERCQteu1TMNMYiwTjhg8fjtFoJDAwEG/v5AVs4+LiiIyMZODAgUyZokcNi4iIiIiIiIhI+mORYNyXX35JdHR0irR8+fJRunRp6tata4kiRUREREREREREUj2LrAzs7u7OmTNnXkr/5ptvcHNzs0SRIiIiIiIiIiIiqZ5FRsaNHj2a/v378/TpU7y8kp9Od/PmTZydnTVFVUREREREREQkDTNq1bi/ZJFgXLFixYiKiuLatWvExcVhMpnInj07uXLlskRxIiIiIiIiIiIi/wgWmab6h1y5cvH+++9TsmRJRo4cacmiREREREREREREUj2LjIx7lbi4OGsVJSIiIiIiIiIiNmK0dQVSOYuOjHuRyaT5wiIiIiIiIiIikr5ZLRi3cOFCaxUlIiIiIiIiIiKSKlltmqq3t7e1ihIRERERERERERvR3Mi/ZpFg3OzZs//y88DAQEsUKyIiIiIiIiIikqpZZJpqUlISISEhGI1ask9EREREREREROQPFhkZ16NHD+Li4nB1daVDhw6WKEJEREREREREROQfx2IPcBg4cCBeXl6W2r2IiIiIiIiIiKRCxn/Yy9osFoxzd3enQYMGltq9iIiIiIiIiIjIP47FgnEiIiIiIiIiIiKSkkXWjNu0adNffq4RcyIiIiIiIiIiaZPRztY1SN0sEow7duwYO3bswMfH55WfKxgnIiIiIiIiIiLpkUWCcRMmTODOnTuUKlWKRo0aWaIIERERERERERGRfxyLrRk3atQo7t69a6ndi4iIiIiIiIiI/ONYZGQcgLe3NwEBAZbavYiIiIiIiIiIpEJGTLauQqpmsWDcwYMHiY6O5saNGxgMBry9valUqRK1atWyVJEiIiIiIiIiIiKpmkWCccHBwZw5c4Z69erh7e0NQFxcHBs2bODUqVMMGDDAEsWKiIiIiIiIiIikahYJxm3bto3t27djMKRcks7X1xdfX18F40RERERERERE0ihNUv1rFnmAg7OzMzdu3Hgp/dq1azg5OVmiSBERERERERERkVTPIiPjgoKCaNGiBQUKFMDLywuAmzdvcvHiRcaPH2+JIkVERERERERERFI9iwTjypUrR9++fblw4QL29vbkzZuX7NmzU6JECSIiIvj4448tUaz8DSeDo62rkCYkkmjrKoikYIedrauQJvye9MjWVUgz9PSs1yPeGG/rKqQZrZJibV2FNGGeXR5bVyFNCLK/besqpBk5HdxtXYU0wc5O95Ly+hltXYFUziLTVKdMmcKGDRv4/fffWb58OUlJSZQpUwYnJyfCwsIsUaSIiIiIiIiIiEiqZ5GRcfv37yciIgIHBwf8/f1p164dTk5O1K5dG5NJv5aLiIiIiIiIiEj6ZJFgnMlkMg91LVCgAAsWLKBt27Z4enpqCKyIiIiIiIiIiKRbFpmm6uPjg7+/P2fOnAGgSJEiBAcH07NnTy5dumSJIkVEREREREREJBUwYvpHvazNIiPjAgMDKVWqFBkyZDCnlSpVivDwcEJDQy1RpIiIiIiIiIiISKpnkWAcQNmyZV9Ky5kzJ4MHD7ZUkSIiIiIiIiIiIqmaxYJxIiIiIiIiIiKS/ujRnX/NImvGiYiIiIiIiIiIyMsUjBMREREREREREbESBeNERERERERERESsRGvGiYiIiIiIiIjIa2O0dQVSOY2MExERERERERERsRIF40RERERERERERKxE01RFREREREREROS1MWKydRVSNY2MExERERERERERsRIF40RERERERERERKxE01RFREREREREROS10STVv6aRcSIiIiIiIiIiIlaiYJyIiIiIiIiIiIiVKBgnIiIiIiIiIiJiJVozTkREREREREREXhujrSuQymlknIiIiIiIiIiIiJUoGCciIiIiIiIiImIlmqYqIiIiIiIiIiKvjQmTrauQqmlknIiIiIiIiIiIiJUoGCciIiIiIiIiImIlCsaJiIiIiIiIiIhYidaMExERERERERGR18Zo6wqkchoZJyIiIiIiIiIiYiUKxv2JSbNG0r6rPwAGg4GhY/sRczScPSciad6mkXm7AgXzsTYqhB2HNxKxcwUFCxcAwNHRgcWrg9m6by1jpg42b5+vQB6Wb5hn1bbYkvrx9apVtxo7Dm5k+/71hEWGkL9AHjJl9mBOyGT2Ht/M1r1radOhuXn7Fq0bs/voJiJ2rCRvvtzm9KVr51L4zTds0QSbGzdzGG27tADA2cWZMTOGELlvNVEHwhgzYwjOLs4AFClWiK8u7CN8z0rzq0ChfAB0H9CJyH2rWbJxLhk93AFwcLBn1ZZFZMma2TYNs7IJs4bTrkvLFGk5cmXn4JltZPHMZE7LlNmDKfNGs2nPKqKPbKB+4zrmz8bPHMbmvauZu2wKDg72AHhkysjabaE4OjlapyGpwPDpA2nZuZn5/c5vN7MqJsT88mlYA3cP9xRpq2JCOHZ5L807NgFg2PQgVsWEMjl0LPbP+jJjJndCNs9NN305YsYg/Dt/bn6/+2wUa2KWmF+1/WoAkDlrZmatmsKG/StYt3c575V+9/k+pg8kbNdSpi4ZZ/5OZsyUkaVR89NNPwKMDh5C6y+SryXuGTMwdfFYwvetJOLAatoGPj/uPTJ7MH7OCNbGLCPyYBi+jXzMn42aMZj1u5czY8mEFH25YsvCdNOXY4KH0uaFfpy2eBwR+1cReWAN/8fefYdFcbUNHP4BS7cSil0sxJKoMWpiib33hr0AYhd7A0VUVARRATvYsTewoViD2DX2XmKXau+03e+PNau8GvPlfd1dhOfOtdflnp0zZ56TGXb2mTNnerh10yz340+lWLEthI37QgmLWkmzth/6cVKgJ5v2ryBomV+6v5MrIxZmiX4sMqE7lf6YT/m9/pTf60/J4KFgYID9uK78fCCAn3+fQanFIzH+Loe6gqEhhUa0p/zuaVQ4FETRic6adeXpVp8K0QGU2z4F00K2mvIfVo3B3CE/WcHYgFF06qP+3pgcMp5lu0M0r11XtuK3dDIAP1f9icU75rNsz0JCts2h1E8lAVAYK5i2fArL9ixkpN9QzXrzF85H4Jppug9Ix6q3rsX0nUH47whkSpgfxcoUT/e58zhXPJaM07zPYZWDkcEezIicRcDeOXQb44yBgQEA9Ts3JGDvHKaET8O2oJ2mzphlXuQvXkA3AWUQpUp/z+btoew/GM6eqE2U/emHdJ9P8vFg1boFmvc/VyhL1OGtRB3eSr36NTTlw0b0o2t3R4T4Vkgy7j8UcyjCyvBgmrasrynr7NSWIkUL0ei3drSq3xWXPp0pW179RyJgwRRWLdtAw2ptCfRbwLxl0wGoUbcacTEJNK3VgfwF8vJ9yWIAjPEehs/4AN0HpmPSj1+fqZkpQQum0rv7EBrXbMeeyCgm+HowfsooXr9+Q90qrWjVoAu16v1G3QbqL6Z+Q3rQuGY7lgSvpHtP9Y/9Ji3qc+Pan9y8fluf4ehcUQd7lm6aR6MW9TRlfYe4oFAoaFW7Cy1rdcbMzJTeg50AKF+pLBGbdtGmTlfN686f98iW3ZL6zWrTslZnDkcdo7ljYwC69e5IRNhunj5+ppf4dKWYgz3Lw+bTuEX9dOWt2jdl9baF2OW1TVfuO3sCcTEJtKrTBae2/fH0GYFdXltKlC6OjZ01LWp3JjHhMb/VrgLAEI9+zA9YQkpyis5i0hf74oWZtz6Qei1qa8oKFyvIi2cv6VLfVfOKDN/Dqxev0pVtWRPBuRMXWLdkE8VLFcXa9ju61O/B44QnVKn1CwB9R/Vk6awVmb4vizgUJnhDEPVb1NGUqfvxFZ3qu2heO8P2AODuM4wzx8/hWLMbnm7eTAuZhJm5KQ6limFtZ03Hes7v+/FXAPqP6snioNBM34+g7stFG2fToHldTdmA0b2Jj0mkTa2udG7Ug/ZObShbQZ3AnBzkSXxsAh3qO9G7/UDcJw/FLq8NDqWKYWNrTbu63XmU8ISqtSsD4Da6NwuDlmf6vizqYM/iTXNo2OJDPw5070N8bAKta3ahYyMXOji1odz7RHDA4qnM9V+IY93u9Os0lJHegyhUpCDfly6Ojd13tK3TjccJj6n2cT8GLsv0/QiQo2IJrvYN5Ey9kZypN5KrfQKw61SH7GWLcab+SE7XHs7bO7EUmaD+7s7fqwk5q/7AuRaenK4znOwVv8emZTUACg5sxel6I4lZuIN8LuqEp3Wzyry5/oC3Nx7qLUZdKFy8ELPWz6BO81qaMs/eE3Fu0BvnBr3xHTmDVy9eM2NsEApjBd7zx+E7cgbO9XuxLGglXrM8AKhc6xcSYxNxrt+LPPntKFLCHgA3r77MmbTgMy1nHvmK5qf7GGcmO01gZJMhbJy9nhHBHprPqzStRvXWtdLVcfbqyf0b9xjeaBCjmg7F4acS1G6n/rvQqr8jI5sMYceSbTTqrr5QWblJVR7cuM/Dmw90Fpe+mZubsSF8MXOCFlGnemtmTJvHgoXTNZ+3bN0Yxw4t0tUZOLQXwwePo33rHoweOxiA/AXyUqNWFVaGbtTp9osvU6L6pl66ptU541JSUnj27BnGxsbkyvVtjBbp5tqejau3EvMgTlPWoGkd1oRuIi0tjRfPX7I9fBet2jUlPjaBog72bAvbBcCBfYeZ5D+GH8qWJDkpGTNzMwDMzM1ISUmhToPqxMcmcPXSdb3EpkvSj1+fkZEhBgYG5MiRHQBLSwuSkpIo81Npxo3yQalUolQq2b87miYtGrBvdzSpKamYmJpgYWFOSnIKZuZm9HZzokub3nqORvc693AkfO02Yh9+2CdPHjtDzL1YVCoVKpWKKxevU7xEUUCdjCtQOD/rIpcCsGj2cvZERJGamoqhoSEKhREWFuY8f/YCG9vvqNu4Jt1b9tVLbLrUxbU9YWvS96OtnTX1GtekV6fB7Dy8QVOeM1cOqtX8haG91Ser8bEJtGvozPNnz7GwMMfUVD0K0cLCnJSUFEr+4ECefHZE7Tmk26D0pJ1La7at20H8w3hNWdmKP6JUKpm/IZCcuXOyPyKKJUErUCo/zLpRwD4/PQZ3x6lJb9JS00hJTsHE1AQAcwszUlJScShdDLt8thzae1Tncelae+c2bF23g9iP+rFcxTIolWkEb5xFrtw52Ls9isVBoRgYGFC9flV8x8wE4Pqlm9y7/YCqtX/lz2u3/6MfU3AoXRy7fLYc3HtEL7HpWkcXRzavjUjXl36eARgZqUdkWdtaY2JizKuXr8iRKweVa/zCqL7qUSDxsYl0adKT589eYG5hjonZR32ZnML3pYuTJ58t0XsO6z4wHevo0pbNa7YT++BDP04dOzN9P5oa8/LFK0xMTZg/YzHHok8C6n589vg5dvlsSIx7pPk7af7+e7xE6eLkyW/HgSzQjwYmCrL9WIQC/VpgZm/Hu9tx3Bq/jDfX7nPLOxRVcioAr879qUmu2barye2JoSjfJQNwxXU6qhT1csqUNAxNjDG0MEWZnIqhuQn5+7XgYntv/QSoQ22dWxGxLjLd981fFMYKPANHEzR+LgkxiQC0rNCetNQ0APIVysvzpy8ASE5OxvT9ebmpmSmpKalUrVeZxLhH3Lx8S0fR6EdKcgrzR8/hWcJTAP48f5NcNrlQGCuwK5yHVn3bsHHWWn6q8bOmzvFdR7n2xxV1/aQU7l2/i3V+GwDSUlIxNjHG1MKM1ORUTMxMaNGrNd5dvXQfnB7VqlONO7fvs3dPNACRO/Zx7646GenwfVHcBvdkht9catf9TVMnOSkZcwtzLCzNSU5WH+sTJ49mope/7gMQ4n+glWTc48eJtK4xAAAgAElEQVSP8fT05ODBg6SlpZErVy6USiUNGzbE3d0dCwsLbTT7VUxw9wOgao1fNGV589ulOzGNjUmgZGkH8ubPQ0JcIirVhyxqXEw8efLZsX9XNE1a1mf772vZGxnFw/uxTJ87CZcObroLRo+kH7++N6/fMmb4JMIiV/DsyTMMjYxo07gbA4b2pE2H5vxx/CwmpsY0bl6P1FT1iaffpCDWbV3Co8QnDB/gidvQXoQuWsvrV2/0HI3uTfZQX2WrXL2SpuxI1HHNv/MVyEP33h0ZP3wqAG/fvCUibBdrl22iqIM9yzfP5+H9OC6fv8qqxetZv3s5d2/dJ2TWMiZO9yBwyvx0CZPMyttdfRtKlRof+jEh/hFuLqM+WbZwkYIkxj/CpV9XatStiomJMUvmruTOrXvc/vMup46fZcvvqzh36hJHDpxgyfo5jB81VWex6Jv/2EAAfvmtgqbMyMiI49EnmTVpPqZmpgSu8OP1yzesWfQhydnfvRfrl4QR/zABgLt/3ufsiQus2rOYi6evcCL6D2avmY6v+0zdBqQnfmPVo6QrfdyPCiOOHThJ4KR5mJqZMmvFNF6/es2uzfswNDDg2UcjWBNiE7DNa8v+HdGcPXGeNXuWcvHMZY5H/8HcNTOZ6j79kzYzq6ljZgDwa/WK6crT0tLwmTOe+s1qs3/nAe7cvEfpciV5lPCIbn068VudKpiYGrN83mru3rrPnT/vceb4OdbvXc6F05c5Fn2SBWsDmTw6a/xQ8tH0Y6V05WlpafjOnUD9ZrXZ974flUolYau3aZZx7NYSC0tzzp+6RNK7JE6fOMfGfaGcP32Jo9EnCVkXhPeozH87IIBJHiueHb7IHZ9VvP0zhvz9W1B62WjO1B+pWUaR05JCw9oRG7obAPOi+bD4viAFB7XB+LscPN51krv+6wG447OKsmETSX70nOuD5lBwUBtil0aS9vqdXuLTpZmeswCo+Fv5Tz5r1qkJj+IfEx354UJYWmoaua1zszQymJxWOfDqNwmAk9GnqNOsJst2h3Bw12HiHsQzLsid4V3ddROIHiU+SCDxQYLmvfM4V/7YewKFsYJBAUOZMzyIYmXT37Z6fOeHC2JFfihK9RY1GN9RPe3OqmmhTFznw/NHz5gzPIg2bu2IDI3g3eu3ugkogyhWvAgJCYkEzpnCDz+W5PnzF3h7+WNpacG8EH8G9nPnp/I/pqszY9o8ZgR6ozBW4DXGlxq1qvDq1WvOnL6gpyiE+O9oJRk3duxYWrZsSUBAANu3b+fVq1e0bt2axYsXM3bsWAICvq3bCw0NP72bNy1N+dlyAGVaGiqVCo8hH660DRjWkw2rt2D1XW78Zk0AYPb0EC5fuKaVbc6IpB//NyVKOTB4ZF/qVWnJ3TsPcOndmeDlAXRo3oMx3sPYeWA9CfGPOBR1lAq//ATAzm172bltLwCF7QtQoVJZZvrOZbzPKAoWKsCxI3+waF6oPsPKEEqXLcnsZdNYtXiDZlSW9+gPP3Zu3bhD5JZ91GlUncvnr7J6yUZWL1EPg//513IYGBpy8dxlJgd6ktsqFzu37GH7pl16iSUjURgrKGhfgFcvX9GpqSuFihRg9bZF3Ll1j0vnrxI4dT6BU9VzP7ZwbMyFs5d49fI1ASE+mJmbsWLROo4cOP4PrWQum1dv1/w7JTmFVcHr6ejaVpOMs8tnS+WalZg83C9dvQXTFrFg2iIAGrepz+WzV3n98jVT5o/HzNyMdUs2cSL6D90Fomfhqz4kN1KSU1gZso5Oro7s3rr/s8sr09SJ9Hl+C5nntxCAJm0bcPncFV69fM3U+RMwMzdj7ZKNHM9C/fixMW4TmTRqGjMX+9B3eA+ORJ2gQOH8vH75GqcWfShoX4BlW+Zz9/Z9rpy/xhy/EOb4hQDQtG1DLp29wutXr/Fb4I25uRmrF2/QjAbLStwHTGDiSD8Cl0yl3/AezPVfpPnMdWA3uvbqQN+OQ0h6lwTAbN9gZvsGA9CsbSMunr3M61ev8Q+ehJm5GasXbeBo9Am9xKJtSfcSuNTFR/P+4bytFBrqiGkhW5LuJWBW2I7Sy0bx4vhVYpdEAmBgbET2Cg5c7DIFQ2MFpVd4kM+1MTELI3gccZzHEervFLPCduSoWIK7/usp6u2MWSE7nh+9xMPg7Z/dlsysQ6+2TBv16cWbp4+e0qpie77/0YGgddPp3XwA9289wHfkDM0yToO7sn3tTnJa5cRjhvqi3NKAUG5cuqmz7dc1U3NT3GYM4bu81kx2mkC/aQPZsSyC+9fvfZKM+0u5GuUZFDiMxeNDuHNZPU3M8Z1HNck6u0J5KPFzSdbPXIOzV0/sCtpx6fhFti/aorO49MXYWEHd+jVp3aw7p0+dp1GTuqzZEMLJE2dZFLyCq1dufJKMu37tT5o3Vs//rFAo2LJjBU6dB9ClmyONm9YlNjaBsaMnk5wFbuXP6HR/4+e3RStzxsXGxtK4cWPMzMxwdHRk69at5MyZk2HDhnHt2reXNIl5EIetnbXmfZ68NsTFxhPzIBYbW+t0y9rltSU2JiFdWb78eaheuwrrVoQzZHRflsxfyYTRvoz3+XQkSWYm/fi/qVm3Kn8cP8PdO+qh28sXraVEqeJYZrPAZ/xM6ldrQ5c2vVEqVdy5ff+T+uMmj2Ky1wyq1fwVy2yW9Ow6iFp1q1G4SEFdh5KhNGlVn8UbZjNz8lxCgpYB6sRxnyEuWFh+GMVrYACpKWnp6hoaGjLMcwD+E2bR3LExD+/F4OY0kl4DnTQPgsjKEuLUt7uErVH/uLl3+wGnjp+l7M/pJ+a1tLSgW88OzA9YgnOfTkTtOcSQXh6MnTxM59usb43bNqB4qaKa9wYGaEa6AtRpWpOoyIO8+Zsr5xaW5rTv0ZYlQSvo1Ksdh/YeZUzf8QyfOFDr256RNHVsiEOpYpr3BhiQmpLG00fqEXHZc2bXfGaTx4b42PTfNxaW5nTo4ciiwFC69G7PoX1Hce/rxQjvwboJIAOpWutXbN5/d79985adm/dQqkwJEuPVx/eWdREA3L/zgDMnzlOmfOl09S0sLejs2o6FQcvo2qsDB/ceYWSfcYyaNES3gejZf/bjjvA9lCqrnhTf2MSYaQu8adK6AV2a9uLa5U8TGRaWFnTu2Y6QwGV0692B6D2HGdHbk9GZuB8tShXG1rFG+kIDA1QpqeSs9gPlInyIX3+Am6NDNB8nxz8lcfNhVMmppL1+x6NtR8lR8ftP1l10ojO3JoaSq3oZjLKZc9nZj9y1y2Nmn0fbYWUoDj8Ux8jIiDNHz2nKLLNbUqPRh1sCr1+8wc3Lf1KsZPoHf9nls+WXGhXZtnoHrsOdWReygZmesxg6KfPevWKdz5opYdNQpqUxoeNYzCzMKPVLaZq5tsB/RyAdhnWhZKXSjFn24VbTZj1bMihgKIEDpxMdHvXZ9TqPcyV0ylLKVCuLeTZz/HpNoXzNn8lTOK+OItOfuNgEbt64xelT5wH1baq2djZUq/4Lffs78/vBzYweM4jKVSqyZkPIJ/V79+vO5k07ePv2HX0HONOtU39iHsbSrkNLXYcixL+mlWScsbExJ0+qr3YeOXIES0tLAC5cuICZmZk2mtSqPTujaNelJUZGRmTPkY1mrRuye0cUcbEJ3L1zn2atGwJQvXYVlEol1y7fSFffY+JQfCcEolKpMDExISUlFaVKhZnFt9cX/wvpx//NxXNX+LVaRaxtvgPUT1a9f/chXV3aM9xDfeJjbfMdnbq3ZfPGiHR16zaoQXxcApcuXMXUxITU9/OnqFSqb/KY/FoaNKvDmCnD6dl+EBFhH0ayKZVKajesTvvurQD1LawNmtVh9/b0o2o6OrclavchEuMfafZJlUqFkcIIhUKrU3J+Ex7ci+HiuSu06dgMgO9srPi5Ulkunr2Sbjm3kb1YumAVb9+8w+T9/qlUKjXzRWYlxUoWpc9IVwwNDTE1M6G9Sxv2bPmw3/1c5SdOHjz1t/V7DXdhdch63r1935epqSiVKs0cP1lFsRJF6TvqQz926NGW3Vv3kZaWxqF9R2nbTX2S7lCqGEW/t+fUkTPp6vce3oNVwWt59/Ydxn993yhVmJlnvSR7gxZ16TvcFVAnjRq2qMvxQ6d4eC+Wy+eu0qKDeuJxK+vclKtYhkvnrqar32+EK6HBa3j75h3Gpsaa49s8i+2TjVrWpd+I/+xH9SjLmYt8yJbNkq7NehFzP/az9fuPcCV0wft+1Bzbysx9DqRSUnRyD82TT/M6N+T15buY5reh9JJRXB84m4fzt6ar8mj7UXUCz8AAA4URVvUr8PLsn+mWsapfgeT4J7y+eBtDEwWqvy60qVQYvp/rMKsoX6Ucpw+n//unTEvDY8ZIylRUXzgr8r09hYsX4tKZ9N/dA7z6Mm9K8PvzcmNSU1NRKZWZ9vsmW85sTFw/leORRwkYOJ3kpGSexD2m9y8ujGwyhJFNhrBu5iqunryMj7P6rp5mPVvSqHsTPFqN5MLhc59db4U6FXkS/4Tbl26hMDEm7aNzdJMssD/u2xNNwUL5NU9QrVK1IomJj/nx+9+oXb0Vtau3ws9nFseO/kGndunnvLazs6Fps/osWbQaA0MDDAwMUKlUWfI7RnybtPJr0cvLi8GDB/Pu3TssLCyYNWsW165dY/z48UycOFEbTWrVqqUbKGxfgIgD6zAxMWb18o2cOKL+MTS4lwc+AeMYMKwnyUnJuLmOSjf3WbUav/L2zVvOnlLfw75o3gp8ZnoCMG3SbN0Ho0fSj/+bIwdPEDx7Geu2qZ80+ezpc3p2HcTDB7EEzp/KnsNhGBgYEOA3n/NnLmnqmZgYM2hkH7q36wdA9O9H6ObakcjojZz54zzXrtz4uyYzvWGe/TEwMGBSwFhN2ZkT55jk7s+o/l5M8HendYdmGBoZMtVzJrdu3NEsl8sqJy0cG9GtZR8AIsJ3MWe5Py0cGxMRtovXr17rOpwMaYDTCMb7jaajUxsMDQ2ZM30RF85e1nxezMGe70sXx29CEABrl4cxI3gy/Ya5Mj9gib42W28WzlzKqClDWLN/GQqFgn3bf09362qhIgXSPRjnY/bFC1OsZFGCvOcBELZyC5PmeuE6uDtLgrLW7eghM5cwesow1v++HIVCwd7tv2tuXZ3qPgOvGe6s/z0UlUrFuIGTePXyw/FaxKEwDqWKEug9F4BNK7bgM288PYc4sShwuV7i0acZE2bhOW0UYVErUalg/85oVi1cB8CQHu6MnTqCdt1bY2hgSPDMJVz6KNlexKEwxUsWZcZE9ff0xtDN+M6fSO+hzoQELNNHOHrjP34WXv6jCT+wCpVKxf6d0awMWUf5SmWp3bA6t2/eZcW2D6M+Zk6aq5nXtKiDPQ6lijH9fT9uCA1n2nxveg91ISRgqV7i0YU3V+/z59jF/BDqjoGhIUmxj7nWLxCHmf3AAOzHdsF+rPpWtXf3ErjSw5+7vmux9+xKhQMzwciIZ9HneRjy4W+ogYmCgkMdudR5CgBPD5wjr0sjyu+bzstT13lz9Z5eYtWXAkXyp3vQCMDbN+/wcB3H4IkDUBgrSE5KYYLbFBJjH2mWqVj9Z969ecel0+rjfU3IBkb5qUezL5i6iMyoQbfGWOez5peGlfmlYWVN+cTO43j17OUnyyuMFXQc3oXXL14z8qOnrh7dcZiwOeqpJxQmChwHdWCKk/r38bmDZ2jUvQnTdwZx/cw17l27q+Wo9C8h4RFOnQcwbcZ4LCzUD2Rw6TqQpKTkf6zr5T2SKZMCSEtL49XL1+yM2Ev00W08evQEl25Z644A8W0yUH2c8fjKnjx5gpWV1f+8nqLWn042KoS+pCpT/3kh8Y8sFeb63oRMI02V+R8coQs5jTPuw4W+NbJPfh2pqrR/Xkj8vyi1d7qbpcw3KKDvTcgU3I2e6HsTMo28imz63oRM4cCzb28qqYwq8bn05V/62LfT9yb8K8F3NvzzQl+RVkbGKZVK1q9fT2RkJHFxcRgaGmJra0vNmjXp2rUrxsbG2mhWCCGEEEIIIYQQQogMTSvJuPHjx6NUKnFzc8PWVj3PQ0JCAlu2bMHDw4Pp06dro1khhBBCCCGEEEIIITI0rSTjTp48SWRkZLqyQoUKUbFiRZo2baqNJoUQQgghhBBCCCFEBiCTlnyZVp6mmi1bNs6fP/9J+ZkzZ7CwkDl5hBBCCCGEEEIIIUTWpJWRcZMmTWLUqFEkJSVhY2MDQGJiIqampnKLqhBCCCGEEEIIIYTIsrSSjCtVqhTbtm0jJiaGhIQEVCoVdnZ25MuXTxvNCSGEEEIIIYQQQgjxTdBKMu4v+fLl0yTg+vTpQ3BwsDabE0IIIYQQQgghhBB6pkKl703I0LQyZ9znJCQk6KopIYQQQgghhBBCCCEyJJ0l41QqyYoKIYQQQgghhBBCiKxNq7epfiwkJERXTQkhhBBCCCGEEEIIPVHqewMyOJ2NjLO1tdVVU0IIIYQQQgghhBBCZEhaGRk3Z86cL37u5uamjWaFEEIIIYQQQgghhMjQtDIyLi0tjcWLF6NUysBEIYQQQgghhBBCiKxE9Y39p2taGRk3ePBgEhISMDc3p1evXtpoQgghhBBCCCGEEEKIb47W5ozz8PDAxsZGW6sXQgghhBBCCCGEEOKbo7VkXLZs2WjVqpW2Vi+EEEIIIYQQQgghxDdHK7epCiGEEEIIIYQQQoisSZ4g8GVaScZt3rz5i5/LiDkhhBBCCCGEEEIIkRVpJRl37Ngxdu3aRaNGjT77uSTjhBBCCCGEEEIIIURWpJVknK+vL8+ePaNChQo4OjpqowkhhBBCCCGEEEIIkQEpVSp9b0KGprUHOHh7e/P8+XNtrV4IIYQQQgghhBBCiG+O1pJxtra2uLq6amv1QgghhBBCCCGEEEJ8c7T2NNWDBw8SGRlJXFwchoaG2NraUqNGDRo2bKitJoUQQgghhBBCCCGEyNC0kowLCgri/PnztGjRAltbWwASEhLYuHEjZ8+eZfTo0dpoVgghhBBCCCGEEELomcwY92VaScbt2LGDnTt3YmiY/i7YZs2a0axZM0nGCSGEEEIIIYQQQogsSStzxpmamhIXF/dJeUxMDCYmJtpoUgghhBBCCCGEEEKIDE8rI+Pc3d3p0qUL9vb22NjYAJCYmMidO3eYOnWqNpoUQgghhBBCCCGEEBmAUm5U/SKtJOOqVq3KiBEjuH37NkZGRhQsWBA7OzvKlStHeHg4lStX1kazQgghhBBCCCGEEEJkaFpJxk2fPp1Lly5RtGhRduzYgbu7O5UqVQJg7dq1dOjQQRvNCqETSWkp+t6ETCGHsaW+NyHTeJeWpO9NyBSSlHJsfy1KlVwJ/RpUckVZZDB+Jm/1vQmZQtTpRfrehExjRMUx+t6ETMHIQCuzVwkhvkArybgDBw4QHh6OQqGgW7du9OjRAxMTExo3boxKTtCFEEIIIYQQQgghMi25qPhlWknGqVQqDAwMALC3tyc4OBgXFxesrKw05UIIIYQQQgghhBBCZDVaGY/aqFEjunXrxvnz5wFwcHAgKCiIIUOGcO/ePW00KYQQQgghhBBCCCFEhqeVkXFubm5UqFABS8sPc0JVqFCBsLAwlixZoo0mhRBCCCGEEEIIIYTI8LSSjAOoUqXKJ2V58+Zl7Nix2mpSCCGEEEIIIYQQQuiZUt8bkMHJY1OEEEIIIYQQQgghhNARScYJIYQQQgghhBBCCKEjWrtNVQghhBBCCCGEEEJkPUpU+t6EDE1GxgkhhBBCCCGEEEIIoSOSjBNCCCGEEEIIIYQQQkckGSeEEEIIIYQQQgghhI7InHFCCCGEEEIIIYQQ4qtRyZxxXyQj44QQQgghhBBCCCGE0BFJxgkhhBBCCCGEEEIIoSNym6oQQgghhBBCCCGE+GqU+t6ADE5GxgkhhBBCCCGEEEIIoSOSjBNCCCGEEEIIIYQQQkfkNlUhhBBCCCGEEEII8dWoVPI01S+RkXFCCCGEEEIIIYQQQuiIJOOEEEIIIYQQQgghhNARScYJIYQQQgghhBBCCKEjMmecEEIIIYQQQgghhPhqlMiccV8iI+OEEEIIIYQQQgghhNARScYJIYQQQgghhBBCCKEjcpuqEEIIIYQQQgghhPhqlPregAxORsYJIYQQQgghhBBCCKEjkowTQgghhBBCCCGEEEJHJBknhBBCCCGEEEIIIYSOyJxxQgghhBBCCCGEEOKrUaHS9yZkaDIy7m9Mmz2RngO6AWBoaMi4KSPZczSM/Se20NnZUbOcfdFCrNu2mF2HNxG+ewVFi9sDYGysYNHqICKi1jF5xljN8oXsCxC6cb5OY9Gn/28/Vv6tIlv2riIiah2bIpdTtvwPgPTjfypV+nvCtoey92AYu6I2UvanH5jiN5Z9B8M1r0t/HuH3w1sAaNCoNgeObWNP9CbKlf9Rs54Zs7ypUauKvsLQq8lB43Du1xmAbNktmbnIh/ADq9gSvYYebt00y1Wq9jPrdi1l0/4VrNqxiB/LlwZAYaxg7srpbNq/Ai//0ZrlCxbOz8L1s3QbTAbg1KsT+45vISJqHUEhvuTMlYN5S6cTEbVO8zp3+xALVwYB0MnJkd1HwtgUGUqBQvk161mydg7Fvi+irzD0alKQJ04f7ZMzFk0hLGol4dGrcXHr+sny+Qvl5eCVXZQuV1JT5h04lg37Qglc6otCYQRA9pzZWbE9BGMTY90EomdybH89U4LG4dyvCwCmZqZMCvQkPGoVWw6sYVKgJ6ZmpprPxvqMYOPeUCKObMCl/4f9deDoPoRHrWLJprlkz5ENAIXCiJXbQsj9XS7dB6UH/99+tLGzJmRtEGH7VxIetYpmbRtp1jE5cBxh+1cya9k0zbGdI2d2VkUsyhLHdq3WtZkdOZtZO2fjHzad4mWLY2BggMsYF+buncec3XMZEzyWHFY50tUrUqoIoX+sSFfWdXhX5uyey5Q1PljmsATASGHEtDD/T+pnFiqVirGTZ7B09UYA0tLSmBq4gOadetG4fQ/WhUdolj1x6hztXNxo3b0fLm6juXrjluazsO27aN65N006uOLtP5uU1FQAzl+6Suvu/WjdvR/RR05olg9etoaNWyN1FKVuVe/eEPfd/rjv8qfnwhFk++7DvpMr73dMPDYPy9zZNWWFyhZl8MaJjNzhy+jIaVRs9Zvms87+fRm10w/XkOEYvj++zXNYMiTMGyOTrDFmpl3Hluw9GKZ5nTi3h/uJ57G2+Q6AfPnzcOZyFFZWH743ujm3J/rYNrbvXkOhwh/OJVetD8bh+6I6j0GI/5Yk4/5DMYcirAwPpmnL+pqyzk5tKVK0EI1+a0er+l1x6dNZkywKWDCFVcs20LBaWwL9FjBv2XQAatStRlxMAk1rdSB/gbx8X7IYAGO8h+EzPkD3genYv+lHY2MFsxb64THUm6a1OjB35iJmzp8MSD9+zNzcjHXhi5gbtIh61dsQMG0e8xb6M3b0FOpWb03d6q1x7uJG0rsk3Pqqf0iOHOOGYwsX3Id5M3BoLwB++vlHsufITnTUUX2Go3NFHexZvGkODVvU1ZQNdO9DfGwCrWt2oWMjFzo4taFcxR9RGCuYHjKZ8cOn0rZON0ICljJ1zngAfqtThfiYBNrW6Ua+AnkoXlL9pT9i4iCmT8haP9gr/1aJPoNc6NK6F01rdSBq7yGmBnjR32UETWt1oGmtDngM9ebl85d4jfIBoN/gHjSr1YGlwavp7toBgMbN63Hz2i3+vH5bn+HoXBGHwizaOJsGzT/skwNG9yY+JpE2tbrSuVEP2ju1oWyFD4l0E1MTfOZMwPijk3SHUsWwsbWmXd3uPEp4QtXalQFwG92bhUHLSUlO0V1QeiDH9tdT1MGeJZvm0rBFPU1ZnyHOGBkZ0aZ2V1rX7oKZmSm9BjkBMGzcAHLmzkH7Bs50aOhMJ5e2lK3wI9myW1K/aW1a1+rCkajjNHdUJ5e69urIjvDdPH38TC/x6cq/7cchY/px/vQl2tTpSp+OQ/CaNgprGyu+L10cG7vvaFOnK48SHlPt/bE9cHQfQgKXZvpjO3/R/PQY2wOv7l4MajyQdbPXMiZ4LPU71Kd4meIMbjIItwYDiL0bQ89xPQEwNDKkpWsrvFdOwtzSXLMui+wWVG1SDbcGAzhz8Ay1W9cGoEWPlkRvOcCLJy/0EqM2/XnnHq6DPNi1/6CmbMOWndy7/5DwFQtYuyiIles3c+HyNV6+es2QsZMZPsCV8ND5jBvpxohxPiQnJ3Pj1h3mLl7J8rnT2L5mIS9fvWbFunAAFq/cwIRRg1gYMIU5i1YCEBuXwNE/ztC2eUO9xK1NBX4sQu3ezQhs64Vvw5Ek3o6jyfD2AFRqU51BGyaQK49Vujo95g9jZ8AG/Ju4s8DZl1ae3bCxz0O+koXIYZuLaY1H8zLxGaVqlAOgyfD27JmzmbTkVJ3Hpw8b1m6hXvU21Kvehka125MQ/4gxIyfzKPEx7Tq2ZMvOleTNZ5euzsChvahXow0LF6zApaf6IlyzFg24fu0mN67f+lwzQmRIWSPl/i90c23PxtVbiXkQpylr0LQOa0I3kZaWxovnL9kevotW7ZoSH5tAUQd7toXtAuDAvsNM8h/DD2VLkpyUjJm5GQBm5makpKRQp0F14mMTuHrpul5i06V/04/nz1yiapmGpL6/ylawcAGePnkOkOX78WO16lTjzu377NsTDUDkjv3cu/sg3TIzZnkTPHcZly5cBSA5KQULCzMsLM01J+1e3qMY1M9dtxufAXR0acvmNduJfRCvKZs6diZGRuorkda21piYGvPyxStSU1KpW645qalpABQonJ/nTz/dJ03NTElJTqFm/WokxCZy7fJNHUelX2XKleLwgWPExSQAELl9H1MDx2NsrCAlJRVjYwXT507Ce6w/sTHqfk9NScXE1AQLC3OSU1IwMzejl5sT3V3mWyAAACAASURBVNr20WcoetHRxZHNayOIffhhn/TzDEi/T5oY8+rlK83nY6aOYOu6CHoOcdaUpSSnYGJmAoC5hRkpySl8X7o4efLZEr3nsG6C0SM5tr+eTi6OhK/ZTuxH391/HD3Lw/sxqFQqVCoVVy5co3gJdaKyuWNjOjZ0QalU8urla1za9ufFs5ekpqZiYGiAQmGEuYU5z5+9wNr2O+o2rolTq776Ck9n/m0/GhoZke396EEzczNSU9NQqlQkJyVjYvrXsW1OSnIqJUo7kCe/HQeywLGdkpzCrFGzeJrwFIAb52+Q2yY3MbdjWDJlCanvkxU3zt+gafdmABT/sTj2pezx7TeVCcsnataVlpKGgYEBRgojzMxNefnsJbltc1O5YWU82mXOc6K1m7bTqml98trZaMr2HjhCu5aNUSiMyJkjO43q1WTbrv20aFSXbJYWVK5YHoCihQtiaWnB2YtXOXPhErV/q4xVbvXIpHYtmzA1cD49urTDxMSYd0lJvHn7DmNj9c/K6XMXMby/KwYGBroPWsseXLzN5FpDUKamoTA1Jmee3Dy5n0gO29yUaVCJYGdfxuydoVleYWpMZNAmrh++CMDzuCe8fvqSnHmteBH/FMX749vE3IzUlFTylSpE7nzfcWn/ab3Ep29uQ3ry6NFjVixbj10eGxo1rUuXdn2IPr493XIpf51LWpqTnJyCubkZ/Qb2oH3rHnracvF3lHKb6hdpJRn39u1b5s6dS2RkJPHx8RgaGmJra0uNGjUYMmQI2bNn/+eV6MkEdz8Aqtb4RVOWN79duh9LsTEJlCztQN78eUiIS0Sl+rCTxcXEkyefHft3RdOkZX22/76WvZFRPLwfy/S5k3Dp4Ka7YPTo3/QjQGpqKtY2Vmzdv4bcVrkY1FM9sutQ1LEs3Y8fK1rcnoSERwTMmUzpH0vy4vkLvL2maz6vU686+fLnZeGCD7dleHv5E7xkJm/fJjFyiBddujty8MBRHtyP0UcIeuUzRn1y9Gv1SunK09LS8J07gfrNarNv5wHu3LwHQGpqGt/ZWLF+zzJyW+ViRB9PAI4eOEHDFnXZuC+U3yOjiXkQh8+c8fTrNFS3AWUA505fxKl3Z/IXyMvDB7G069wSU1MTclnlIjH+Ee27tiY+LpHdEfs1daZNDmLNlsU8SnzMSLdxDBjqyorF63j96o0eI9GPqZp9smK68rS0NHzmjKd+s9rs/2ifbNO5OcbGCjat2pouGXfnz3ucOX6O9XuXc+H0ZY5Fn2TB2kAmj/bXWSz6JMf21zNljPo7pfJH++SRA8c1/85bIA/dendkwoipWFnnxjKbBZVrVGLizDHkyJmd8LXbWblwHQCrF29g3a5l3L11n4WzljHe34NAn3kolUrdBqUH/6YfAQKnzCN0azANm9ch93e58Z8QxJNHT3ny6ClnTpxj074VnD99iaPRJwhZF8SkUdN0G5CeJDxIIOFBguZ9z3G9OLH3OBePX9SUWebMRqfBndi5cicA189d5/q569gWsE23rqR3SWxfto2AbYHE3Ilhw9wNDPB1I9RveabdJ8cO7w/A8T/OasriExLJY2uteW9nY831m7exL5SfN2/fcfj4Kar9WoELV67x5+17PHr8hLj4R+TP+2FkUh5ba+ITHgHQ17kTE6fNJjU1lZGDenP05BksLMwpU7qEjqLUPWVqGmUaVKSjb29Sk1PZOXMDLxKesqTvzE+WTU1K4dj63zXvq3Sqi6mFGXdP3yAlKYVbJ68ycocvd8/e5PqhC/QL9WC952JdhpNhWFnloq+bMw1qtgUgPi4R126DPrusj/dMwraH8ijhEYP6j2HQsD4sXbQ6S55Lim+bVpJxI0aM4IcffmDlypXY2KivxiQmJrJ582aGDRvGwoULtdGs1hgafno3b1qa8rPlAMq0NFQqFR5DvDVlA4b1ZMPqLVh9lxu/WRMAmD09hMsXrmllmzOiv+vHvzxKfELVMg35oWxJVoYF06ZhN27/eU/68T1jYwV169egbTMnTp86T6MmdVi9IZgKP9YhOTmFPgOcmR2wMN1J5fGjp2hURz18PmeuHHTp7kjrpt0ZPLwPFSqW4/q1m0ye8OnJQ1bjPmACE0f6EbhkKv2G92Cu/yIAHic+oe5PLShVpgSLNs7mz2uu3L11n/HDfDR1ew91IXzNNnJZ5WJSoHpew/kzlnD1YuYfuXni6GlmTQtmQWgASpWSDas28/TJM80oTNe+3fAY5p2uTuS2fURu2weo534sX6kcAb7zGTdlJAUL5+f44VMsnr/ik7aymjFuE5k0ahozF/vQd3gPfo+Mpp1Ta1xa9fvs8nP8QpjjFwJA07YNuXT2Cq9fvcZvgTfm5masXryBY9EndRlChiDH9tdTumxJZi31Y/WSDRzYcxjbPDYoFAoK2hegR9sBWFnnZmnYPGIexLJ/ZzRrlm5kzVL1PFU//1IOQ0MDLp27wqRAT3Jb5WTnlr1EbNql56h07z/7EcBv3kSWzFnBuuVhFCpSkGXh8zh/6iIXzlxmlm8ws3yDAWjWthEXz17h1avX+AdPxtzclFWLNnA0+sSXmvzmmZqbMnTmMKzzWjO+u5emPE/hPHguHMflk5fZvnz7F9agFhEaQUSoeo600pVKY2hgwM3zNxnsP5gcVjk5uC2aqM1R2gojQ1CqPh2lYmRkSDZLS2b5ejErZDkz5i2mYrkf+aVCOYwVClSqT5OVRkbqc/piRQoTOl+dfE5JTcV5wChm+Xqxadsu9h88gq21NR5D+mBiYqLdwHTswu4/uLD7D6p0rEPfUA8m1xySbnDG59Tr14IaLo1Z4DSVlCT1edKOGevZMWM9ABVb/ca987d49+otTrMHYWxmwsHlu7h26ILW48kIujq3Z9eO/dy7+/Afl43YuoeIrXsAKGxfkIq/lMN/6my8p3pQqHB+jh4+SfDc5dreZCH+Z1qZM+727dv079+fPHnyYGRkhJGREXny5KFv377ExsZqo0mtinkQh63dh6tIefLaEBcbT8yDWGw+uroEYJfXltiYhHRl+fLnoXrtKqxbEc6Q0X1ZMn8lE0b7Mt5nlE62P6P4u37Mnj0bDZrU1pRfOn+VK5euU6KUQ7r6Wb0f42ITuXnjFqdPnQfUt6kaGhlR2L4g332Xm58rlGXb5r+fLHf02MEEzQgmf4F8VK9Zme6d+pPbKhfVa1bWVQgZTtVav2Lzfp98++YtO8L3UKpsSbJlt6Ru45qa5a5cuMb1SzdxKFU8Xf08+e2oWvMXNq3cyoBRPVm+YA1TPGbgMWWYTuPQF8tsFhw/8gfN63SkZd3ORG7bC8Czp88pXaYkRgojjh/+42/re04egY/XTKrV+BXLbJb07jqEmnWrUbhIQV2FkOH85z65c/MeSpUpQfN2TbDMZknothDW712OrZ01vnMnUKvBb+nqW1ha0Nm1HQuDltG1VwcO7j3CyD7jGDVpiD7C0Rs5tr+uxq3qs2j9LAKmzGVhkPoHztPHT0lJTmHbxp2oVCoeJz7hwJ7D/FShTLq6hoaGDPUcwPSJs2nu2JiHd2MY6DSKngO7ax5gkFV8rh9zWeXk51/LsXGl+sFL927f5+iBE1SoXD5dXQtLC7r0bEdI4FK69e5I9J7DDO/tifukzD1y0yafDdPDp6NMS2NMBw9ev3gNQJkqZZkePoN9G/cxd8zcf7VOQ0NDnNydWeKzhFptahN/P57JPSfh2L+d5rbgzCqvnQ2Jj59o3ic8eoydjTVKpRILc3OWzZlG2PJ5jBnWn/sPYylYIB957WzT1YlPfISdjfUn6165fjON69XE3NSU0LVhzPYdTx47a7bt+v2TZb9V1oXtKFrxw6i/Y+t/xyq/DeY5Lf+2jpGJgu6zBvJzi2oEtvEi5sq9T5YxtTSjunMjds8Jp1aPJlzaf4blbkG09uqulTgyopZtGrN2Vfi/rjfRZzQTx/lTvWZlsmWzxLmzG7XrVse+SCEtbKX4t/6amuFbeemaVpJxVlZW7Ny5M90IHZVKRUREBLlz59ZGk1q1Z2cU7bq0xMjIiOw5stGsdUN274giLjaBu3fu06y1eoLS6rWroFQquXb5Rrr6HhOH4jshEJVKhYmJCSkpqShVKswszPQRjt78XT+mKdPwmzWBCr+oJy51KFGUYsXtOXsq/ZWgrN6P+/ZEU7BQfsr+pH54SOWqFUGl4t7dB/xS+WfOnrnAmzdvP1u39I8lKFgwH7t2/o6pqbrvAJRKFebm5p+tkxU0almXfiNcATA2MaZhi7ocP/QHaWlKvAPHUr5SWQCKlShCEYfCXDh9MV39EeMHMnPSHM0+mZqailKp1Mw7ldnZ5bFhzdbFZMuuPgkdOKIP28LUCeFfq1bg6MG/H61Rp0EN4uMSuXzhKiamJqS+3ydVKhVmWewH+scatKhL3+H/uU+eYppXIC2qdaB9PSfa13MiIf4R7gMmELX7ULr6/Ua4Ehq8hrdv3mFsakxqinqfNM8i++Rf5Nj+eho0q4PHlGH06jCIiLDdmvKUlFSidh+iRbsmAFhYmFO15i9cPHslXf2Ozm2I2n2QxPhHGJsYk5qaikqlwsjICIUi60xd/Hf9+OzJc+JjEmjQvA6gTs5VqFKe86cvpavff4Q6Kfz2zTtM3vejUqnM1OdA2XJmY+p6X45EHmGa2zSSk5IBKFmhFGNDxjJz6EzCQ8L+9XqbdGvCib0neBL/5P0+mabZJ42Mjb52GBlK7d8qEx6xm9TUNF68fMXOvQeoU6MKBgYG9B/hxcUr6pG/u/YfRKEwokTxItT6rTJRh47x+OkzVCoVG7fspE6NqunWm/joCfuij9KxdTOUKiUqVBgYGGBoYMi7d+/0EapW5LDNjdPsQZqnpVZs9Rux1+/z5tmrv63jMncIZtnMCWzjxZMHiZ9dptFgR6IWRZD8NgmFiYK0VPVvHBPzrHE+lDNnDooUKcTJ42f+Vb36DWsRH5vIxfNXMDE1ISVFPeJQpVJhlkX6TnzbtHIW5O/vz8SJE/H09NTMD/fq1SsqVqyIn5+fNprUqlVLN1DYvgARB9ZhYmLM6uUbOXHkFACDe3ngEzCOAcN6kpyUjJvrqHRZ1Wo1fuXtm7eaxNKieSvwmamen2bapNm6D0aPvtSPfboPY9yUkSgUCpKTkxnSdwxxsR9GGEo/QmLCI5w7u+E3wwsLC3OSklNw6TqQpKRkihQrzP17fz+se+KU0Yx+f7vglcvXeZT4mN8Pb+Hunfvs33vwb+tldv7jZ+HlP5rwA6tQqVTs3xnNypB1qFQqBjuPZvSkISiMFSQnpzCqnxfxsR9OoirXqMTbN+84f0r9g2n5/NVMmO4BQMDkf3eV/lt16+ZdFgQtIXz3SgwNDTl57AzjR6vnQCpSrNDfzk1oYmLMwBG9cW6vns/m4O9H6NqjPTsOrOfMHxe4diVrTJb/OTMmzMJz2ijColaiUsH+ndGsej8H1z8p4lCY4iWLMmOi+m/ixtDN+M6fSO+hzoQELNPiVmc8cmx/PUPG9scAA7xnjtWUnTlxnske/owf7oP75GFsjV6LoZEhEWG72L39wxyRuaxy0syxMU4t1Q9o2RG+m9nL/Gnm2IgdYbt5/eq1zuPRly/1o1v3kYzxGU7foT1QqpQsmrWc08c/zPNV1MGe70sVY/pE9VN914eGM23+JPoMdSE4YInOY9GVJt2aYpPfhioNq1Kl4Yfkz/MnzzEwMMDZ3Rlnd2cA4u/HMaX3lH9cZ47cOajVujbu7dRzE0dvOcDYRZ7Ubl2LA1uiePvq8xc1M4sOrZtx/2EsbZ36k5KaSruWjalUXn1xwm/CKCb4BZGSkoqNtRWzpnphYGBAieJF6OvSGdeB7qSmplLmh5K4dmmXbr0z5i1mUG8nFAojsiksqVO9Kq279cMqdy4Cpoz93KZ8k26dvMruuZsZuNZL/UC6+Kcs6jX9b5cvUuF7ytSvSPyfMQze9OGBItt8V3M1Wn2ni12xfOQtWZAtPuqn0R5evY/uQW40dGvD7tn/fqTYt6hI0ULExydqHub3/2FiYszQkX3p7Kj+fjmw/zAurp3YdyicUyfPcfU/BscIkREZqLQ4Hi81NZWnT5+iUqmwsrL6r6+AFrUu/88LCaEjr1My94martiY5dL3JmQar1Nln/washtb6HsTMo3PzUsk/j2VPIVMZDBFTD+9PVH8e+Gns8aFZF0YUXGMvjchU1j37Jy+NyHTiHt25Z8XyiIaF2ys7034V3be36nT9rR6f4BCodA8wEEIIYQQQgghhBBCZH6Z81nVX49WknGbN2/+4uetWrXSRrNCCCGEEEIIIYQQQmRoWknGHTt2jF27dtGoUaPPfi7JOCGEEEIIIYQQQgiRFWklGefr68uzZ8+oUKECjo6O2mhCCCGEEEIIIYQQQmRAMvftlxlqa8Xe3t48f/5cW6sXQgghhBBCCCGEEEJn5syZQ9OmTWnatCnTpk37r9ejtWScra0trq6u2lq9EEIIIYQQQgghhBA6ceTIEQ4dOkR4eDibN2/m0qVL7Nmz579al1afpvqxPn36EBwcrKvmhBBCCCGEEEIIIYT4Ry9evODFixeflOfIkYMcOXIAYGNjg7u7OyYmJgAUK1aMmJiY/6o9nSXjEhISdNWUEEIIIYQQQgghhNAT5Tc2Z9zy5cuZM2fOJ+Vubm4MHDgQAAcHB035nTt32LFjB2vXrv2v2tNZMk6l+rb+RwghhBBCCCGEEEKIzM/JyYnWrVt/Uv7XqLiP3bhxgz59+jB69Gjs7e3/q/Z0lowLCQnRVVNCCCGEEEIIIYQQQvy/fHw76pecOnWKQYMGMWbMGJo2bfpft6ezZJytra2umhJCCCGEEEIIIYQQepIZ746MjY1lwIABBAQEUKVKlf9pXVpJxn3uPtuPubm5aaNZIYQQQgghhBBCCCG+usWLF5OUlISvr6+mrGPHjnTq1Olfr0srybi0tDSWLVuGi4sLhoaG2mhCCCGEEEIIIYQQQgid8PT0xNPT86usSyvJuMGDB5OQkIC5uTm9evXSRhNCCCGEEEIIIYQQIgP61p6mqmtaG7bm4eGBjY2NtlYvhBBCCCGEEEIIIcQ3R2vJuGzZstGqVSttrV4IIYQQQgghhBBCiG+OTOgmhBBCCCGEEEIIIYSOaGXOuM2bN3/xcxkxJ4QQQgghhBBCCJE5qWTOuC/SSjLu2LFj7Nq1i0aNGn32c0nGCSGEEEIIIYQQQoisSCvJOF9fX549e0aFChVwdHTURhNCCCGEEEIIIYQQQnxztDZnnLe3N8+fP9fW6oUQQgghhBBCCCFEBqRUqb6pl65pLRlna2uLq6urtlYvhBBCCCGEEEIIIcQ3Ryu3qQIcPHiQyMhI4uLiMDQ0xNbWlho1atCwYUNtNSmEEEIIIYQQQgghRIb2f+zdZXxUx//28U9c0FKIECRQ0lJKoViB4u5WXIKHYMUtuFsJENzdLWiCBHeKlRZqtNBCY9AWWjSy+3+wdCFF2t99s7shud689kFmj8x3OGfnnDkzcyzSGBcSEsKlS5eoW7cuHh4eAMTGxrJp0yYuXrzIwIEDLbFbERERERERERGRZM0ijXFhYWGEh4djb590FGzt2rWpXbu2GuNERERERERERFIo68/C9maxyJxxLi4uREdHP5ceGRmJs7OzJXYpIiIiIiIiIiKS7FmkZ9ygQYNo2bIlvr6+ZMmSBYBbt25x/fp1JkyYYIldioiIiIiIiIiIJHsWaYz75JNP6NevH9euXcPBwYHs2bPj6elJwYIFCQ0NpUSJEpbYrYiIiIiIiIiI2JhBA1VfySKNcVOmTOHy5cvkzp2bsLAwBg0aRLFixQBYt24dTZs2tcRu5V/8Ff/A1llIEYxG/ai8DvcTHto6CynGg4THts5CiuBob7EXjKc6dtjZOgspglEXsa9NgiHB1llIEX5z1LXk61CjUBdbZyHF2DG2kK2zkCKs6XHB1lkQSXUscudx+PBhQkNDcXR0xN/fn/bt2+Ps7EyNGjXUkCEiIiIiIiIiIqmWRRrjjEYjdnamp+K+vr7Mnz+fdu3akSlTJnO6iIiIiIiIiIikPBqm+moWeZtq9erV8ff359KlSwD4+fkREhJCr169+OWXXyyxSxERERERERERkWTPIj3junfvTpEiRUiTJo05rUiRImzZsoUlS5ZYYpciIiIiIiIiIiLJnsVmqy5ZsuRzad7e3gwZMsRSuxQREREREREREUnW9Oo4ERERERERERF5bfTyzlezyJxxIiIiIiIiIiIi8jw1xomIiIiIiIiIiFiJhqmKiIiIiIiIiMhrY0DDVF9FPeNERERERERERESsRI1xIiIiIiIiIiIiVqJhqiIiIiIiIiIi8toYNUz1ldQzTkRERERERERExErUGCciIiIiIiIiImIlaowTERERERERERGxEs0ZJyIiIiIiIiIir43RqDnjXkU940RERERERERERKxEjXEiIiIiIiIiIiJWomGqIiIiIiIiIiLy2hjQMNVXUc84ERERERERERERK1FjnIiIiIiIiIiIiJWoMU5ERERERERERMRKNGeciIiIiIiIiIi8Nkaj5ox7FfWMExERERERERERsRI1xomIiIiIiIiIiFiJhqmKiIiIiIiIiMhrY0DDVF9FPeNERERERERERESsRI1xIiIiIiIiIiIiVqJhqiIiIiIiIiIi8toYNUz1ldQz7iUmzxxFx27+ANjb2zNsXH/2ndzCgTPbaNG2kXk539w5WL9jMXuObyZ070py5/EFwMnJkUVrQth1aD1jg4eYl8/hm40Vm+ZaNZbk4P1877J15woOHA1l36HNFPjoAwAiDm/m2OldHDy6lYNHt9KtRwcAChcpwKHj2zl0fDuVq5Q1b6dPvy60at3ohftIDd7P9y7bdq3kwNGtRBzaTMGPPsDOzo4Ro/tz7PQujpzcwbJVs3j77bcAKFy0AIdPbOfwie1UrlrOvJ0+/bvQqnVjW4WRLLQJaM7+09vYdWg9IQsmkiFjeuYsncKuQ+vNny+vHWPhqhAAmrdpxN4TW9i8ewXZcviYt7Nk3SzeeTeXrcKwqcbN6rH/aKj588WlCG7e/oosWd5m7MTBHPsijFMX9tC6fVPzOv7tmnLk9E527VtHjpxPy3H1xvn4vZvbFmHY3KSZI+nQ1T9JmldWT45eCuetTBnNaTlzZ2fNjkWEH9vIpj3Lk9Q3C1ZPZ/vBtYyZMti8fA7fbCzbONsqMSQHE2eOoH3XVknSTOUYxluZMpjTMmRMz5S5Y9h6YDW7T2yiXuOa5u8mzBjO9oNrmLN8Co6ODgCkz5CO9WFLcHJ2sk4gycCzx6S9vT1Dx/Vj94nNRJzZSvM2Dc3LFS9VlK37V7Pj0DpWhs4n7wd+gI7Jf3pRfWNvb8+YKUPYe2ILe09sYfCoPublVd88b+i0gbQIbALAuAUjWb53ofmz75sdTF46FoBsuXyYuyWENQeXsnjnHHK+kx0ARydHpiwfz4p9ixg46WlZ++TMSsjaz60fkI30n9qXxoGm6+h0GdMxdM5glh5axNywWdRvWxeAHH45mLd7jvmzcN88Im7soXT1Ujg6OTJ26Wjm75lLrwk9zNv1zunNpNUTbBKTtR34LpLGC/fTZNEBOq46yo0/7tFv82maLDpg/pQO3kHPjScB+PHWn7RdcZgmiw7QdPEBTvwUA0B8ooHPNpygyaL9jAm7YN7+jT/uEbjmmE1isxXdJ0pqpca4f3jHLxerQudTq14Vc1qLNg3JlTsH1Us3pn6VVrQLbEGBQqYfiWnzxrF62UaqlWrI9EnzmLNsCgBlK5UiOjKWWuWb4pPNm3fzvgPA4NF9GD9imvUDsyE3N1c2hi5mVsgiKpZpQPDkOcxbOAV3dzd8fXNQvlQ9KpSpT4Uy9Zk9YzEAn/UOoG/PYTRp0J6BQ3oC4JPNm7LlS7JqxSZbhmMzbm6ubNq6hJkhi6hYpr6pHBcF09K/EQU/yk/FMvUpW7IO1376mdHjgwDo0asTfXoOo3H99gwabLpo8snmTbnyn7BqxUZbhmNTJUoXI7BHO1o2CKBW+aYcijjGhGnD6dquH7XKN6VW+aYE9R7NX3f/YviA8QB06dme2uWbsnT+Glp3MDUu1ahTmavf/cSP31+zZTg2s3HdNiqVaUClMg2oVqExsTG3Ceo/llr1qpLrnZyUK1GHahUa06lLGwoV/hCAHr0DqFymAQvnraBdQEsAaterxvff/cgP3/9ky3Cs7h0/X1ZsmUeNulWSpNdvUou1Oxbh5e2RJD147ljWLt1EjdKNmTF5PrOWTgagTMVPiI6MoW6F5mTN7o3fk/pm0KjeTBw53TrB2NA7fr4s3zL3heW4ZsdCPP9RjhNnjiQ6Mpb6FVvSpmFXho7vh6e3B+/ly0MWz8zUrdCCW7G/UbpCSQB6BXVh7rQlxMfFWy0mW3nRMdmsTUNy5s5OrTJN+LSKP22eXAOlTZeW2cs+Z9LI6dQp34wR/ScQsmgizs5Oqf6YfNbL6psGTWuTO48v1Us3ombZJnxcqgg1n5S76puncubJwcwNwVSqU96cNqTTSNpUDaBN1QAm9p/CX3/eY8oQ04OzUTOHELpiOy0qtGNh8DLGLxwNQInyHxMbdYvWVTri5eNJ7vd8AfhseBdmjpln7bCsLkee7Hy+bhLlaj9tuOgyPJCH9x/SoWInPqvXi2IVilG8UnF++eEXOlfvav6cPXKeA1sPcmz3cYqVL8qtqNsEVuuCZzZPfN/LCUDnYZ2YP3ahrcKzmkfxiQzefpbghsXZ0LEi5d71ZtLeS0x58veGjhUZXrMQ6VycCKpWEIDxe76kfsGcbOhYkVG1CjMg9AwJBgPHf4zBM50bGzpWIurPB1yN/ROA4P1f06fSh7YM06p0nyipmRrj/sG/QxM2rdnOrm37zGlVa1Vk49ptJCYm8ufdv9gZuof6jWvhXMBaUQAAIABJREFU6ZWF3H6+7NiyB4DD+4/j7u7GBwXyEvc4Dlc3VwBc3VyJj4+nYtUyxETF8u3l720Sm62Ur1iK69duELHvCAC7w/bTsW0vChUpwP37D1izcT6HT2xnzPggXF1dAIh7HIebuxvuadyIi4sDYNTYgYwannqeXv5T+YqluXbtBhF7DwMQHrafDm168u23PzBy2CTintwoXrzwNdmzZwUgLi4Od7cn5Rhv+n7U2IGMTMXlCPBhwfc5fvgU0ZGxAOzeuZ+K1crh5GQaue/k5MiU2WMYPeRzoiJNTzAT4hNwdnHG3d1Ulq5urgR0b0PI5yn/Iv6/+KxXR27f+o2VS9dTs3Zl1q3eQmJiInfv/MnWzWE0amp64h7/TDnGx8Xj5uZK18/aMWVi6ust07JDEzav3U749qf1jYdnZqrUKE9A8x5JlvX0ysI7fr7sDDXVN0f2n8DN3Y18BfISFxf/tL5xdSE+Lp4KVcoQEx3Lt5d/sF5ANtKyQxO2rN3xXDlWrlGOgOY9kyybIWN6SpX7mFlTFgAQExVL42ptuXvnLnGP43FxMdVB7u5uxMfHk/cDP7yyenJoX+ropfCiY7JqzfJsXrvDfA20K3QP9RrXxDd3dv768x4nj34BwE9Xr3Pvr/t8VLRAqj8mn/Wy+sbZ2fQ76OzijLOLE85OTjx+bLreUX3zVKO29dm1fjf7dxx67jtHJ0eGTR9EyIjZxEbeIotXZnLmycG+bQcAOHXwDG7urryb34/4Z45JF1cX4uMTKFW5BLejb3P1yo/WDMkm6rapy54Nezm884g5za+AHxGb92MwGEiIT+D0gTOUrVU6yXr5P85P2ZqlmR40A+BJOZp+J51dnYmPS6B4peLcjr7NT9+k/AdqBqMRjHDvsema+mFcAi5PelGDqbfb8B3n6F+lAF7p3U3rGIz8+ci0/P24BJwdTMs7O9rzKD4Ro9HI4/hEnBzsOPJDFB5pXXnPMwOphe4TJTVTY9w/jBw0ia0bdyVJ8/bxJOrXGPPfUZGxeGf1wNvHi9joWxiNT8dCR0fG4JXVk2OHThEfH8/Og+s4ffwsv96IolufjgSPT303nO/kyUVs7C2mzxrHvkOb2bRtKY6ODqRNm4ZjR0/TvnUPqlZoRLbs3gwd0ReA4MlzGBj0GXMXTmHk0MmULV+Se/fuc+H8VzaOxnby5PElNsZUjhGHNrN52zIcHR04e+Yil768AphuNPsN7Ma2rbsBmDJpNgMG92DeomBGDJlE2fKfmMrx3CVbhmJzX57/mpJlPsYnmzcAjVvUw8XFmYxPhgQ2adWAmOhb7N11wLzO5LEhrN22mBp1K7Ns/mq69e7AysXruX/vgU1iSE4yZcpI58/aMSzI1Iswq483kTejzd9HRUbj7eMJwLhRUwndtYLa9aqxcO4KevYNZMnCNdy/d98mebel0YMms21jWJK02JjbdGvXn6v/6P3i7eNJTPTtpPVNVCxe3h4cP3SK+PgEth9cw+nj54i8GUXXPh2YNn6OVeKwtZeVY/d2A57rRZQzV3ZuxdymXZdWrN21mM37VvBBgbw8eviYaz/+zLnTF9l2cDUPHz7ixOEzDBzZi4mpqDf7i8rSy8eL6F+fns9/H3fXf/wF9zTulC5fAoAPP8qH33vv4OGZOdUfk896WX1zYO8R7t75k1Nf7+P0lf1cv3aD/XtMD9tU3zwVPHQGuzfve+F3dZrX5HbMbxzebWos98iahdsxvyX5nYyNuoWHdxbOHDlLfFw8y/cu5PzJi0TfjKFtT3/mT15slThsbdaw2URs2Z8k7dsL31K5YSUcHB1wdXelTI3SvO2RKckygUMDWDJ5GQ+eHHvnjpwnPj6eebvn8OXJS8T+GkurHs1Z+vlyq8ViS+7Ojgyp8RFtVhyhyoxw1p39iZ4VPjB/H3rxOlnSuVLxvazmtKDqBVly4nuqzgwncM0xhlQviKO9PSVyeeDkYE/TxQcpkjML3hncWXj8O7qXy2eL0GxG94kpm8FofKM+1maRFzjMmjXrld93797dEru1GHv759ssExMNL0wHMCSannIE9RptTuvWpyMb12wj09tvMWnGSABmTlnAla++s0iekxMnJ0cqVSlHg9qtOX/uEtVrVmLtxgUUyl+BPeFPGzumBc9n2cqZDA0az/ff/UidGqYhbI6OjmwLW0mbFt1o6d+IGrUqERUVy5CBY829wVIDRydHKlctR/3a/pw/e4kaNSuxdtNCCn1Qnri4eHxzZWfFmjmcPnmOxQtWAZjKsXoL0/qOjmwPX0Xr5l1p6d+ImrUrExUZw+BUVo4AZ06eZ8bk+cxbMQ2D0cDG1Vv54/c75mFoHTr7E9RndJJ1du/Yz+4dpgvZHL7ZKFSsINMmzmXYuP5kz+nD6ePnWDx3pdVjSQ782zVl964D/PLzr8DLfzMBdm3fy67tewFTw0jRjz9i8viZjJkQRI6c2Thx/Avmz15mtby/KexeVt8YDBiNRob0HmNO69qnA5vWbOOttzMyIWQEALODF6aK+ubfODo5kt03G/f+ukfzWh3IkSsba3Ys4vpPv3D50rdMnzCX6RNM87rWbVSDry5e5t5f95m2YDyubq6sXLSeE4dP2zgK67K3t3suLdFg4N69+3Rp3Yc+g7syYERPvjh1nlPHviA+Pl7H5DNeVt906dme33/7g2J5K+Dq6sr8ldPp2LU1i+asUH3zHzULaMTEAcHmv196Xf7kd3JC/ynmtLY9W7FzXTgZMmVgSPAAAJZMW8H3l69aNtPJyLwxCwgcGsC83XP4PeZ3zh89T74iTxuC8hXJR4ZM6Tmw9aA5zWg0MnXA06HmLXs0Z/f6PWR4Kz39ppjm4ls1fTVXL6fM3oY/xN5lwbFv2dKpEtnfSsuaL36k35bTrO9QETs7O1Z9cZVhNQqZl3+ckMjA0DOMrl2Ysn7eXPr1d3puOMkHWd/CK707I2oVNi+78Ni31CuYkz8exjFi13kAAkvnJa9XxufykZLoPlFSM4v0jEtMTGTx4sUYDAZLbN7qIm9G4+GZ2fy3l3cWoqNiiLwZRRaPzEmW9fT2IOrJUIS/ZfXxokyFkqxfGUqvgZ1ZMncVIwdOZMT4AVbJv61FR8Vy9YefOP+kN9busP3YOzjQum1TSn5S1LycnZ0dCQkJz63fqUtrtm4O4+HDR3Tu1hb/5l2J/DWKxk3rWS2G5CA6Kpar3//E+bOmcgwP24+DgwM5fXNQukxxwiM2sH5NKP16j3jh+oFdWhO6eRcPHz6iS/d2tGrWhV9TYTkCpEnrzukTZ6lTsRn1KrVg944IAO78cZd8H+bFwdGB08fPvnT9oWP7MX74VEqVLU6atGno1KoX5SqVImeu7NYKIVmp16AG61ZvMf/9681IPLyymP/28vYk6pmeNX8bPW4QI4dOpkz5kqRNl4Y2LbpRsXIZfHPnsEq+3yRRN6PJ4vF2kjRPryxER8YkSfP28aJ0+RJsWLWVngM6s3TeKkYPmsTQ8f2tmd1kKzb6FgBb1u4E4JdrNzl3+iIFCn+QZLk0adzx79iUudOW0DawOYf2HaNXQBBDxvZ5bpspXeTNaLJ4Pj2f/z7u7OzseHD/Aa3qB1K3QnPGBH1ODt9s/HztRpL1U/sx+bL6pmSZj9mweivx8Qn89dc9Nq/fTonSxZ5bX/XNi737QR4cHBy4cPJLc1r0rzFkypK0Z1cWr8zERt1KkuaZ1YOPyxZl+5pdBPRtx9oFGwkeOoPeYz6zSt6TizRp3Vk4fjEBlQMZ2DIIg8FI5M+R5u/L1ynLvk0RSXoaPssjaxaKlC1C2NrdtOnbmk0LtzBz2Gy6je5qrRCs7sRPsRTMlonsb6UFoGmR3Fy99Sd3HsbxbfQdEg1GiuZ4em949dafPIpPpKyfqWdsAZ9M5M6Snq9+/SPJdqPuPuDktVg+/ciXuUe+wf/jPAyqVpBJe1P+SBbdJ0pqZpHGuJ49e1KzZk3c3Nzo3r37c583zb7wQzRuWQ8HBwfSpU9L7QbV2Bt2iOioWH6+foPaDaoBUKZCSQwGA99dSTofStCTCYuNRiPOzs7ExydgMBpxdXe1RThWt3/fEbLn8DG/GafkJ0UxGo0kJCYycuxAXF1dsLe3p0u3tmzdknR4jKdnFmrVrsKSRWuws7fDzs4Oo9GIwWDAzS11lN/f9u87QvacPhT8RzlmzJie5atn0y1wALNnLnnhup6eWahZpwpLFv6zHI24ubtZM4xkwdMrC2u3LyZtujQAfNYvkB1bTEN7i39ShJNHz7x03YpVyxITfYsrX32Ls4szCfGmCwOj0WieyyI1yZAxPbly5+CL00/fBLZ71wFatGqIg4MD6TOko37DmoTvSjo8pkq18kRHx/L1pW9wefK7CKZydHNNXef2fxEdFcsv129Sq35VAEpXKInRYOS7K0l7cQwa1YvJo0JM9Y2LEwlP6pvU9nv5Mjd/ieTrL7/h02a1AXg7SyYKFyvA1xe/SbJc9/4BLJ23mocPHuHsbDrPDQaDec6p1GT/7sM0alE3yTVQRPghjEYjC9fOIH/B9wGoXrcy8fEJz80Jl9qPyZfVN19/ecV8Pjs6OlK5enku/mMKCdU3L1eoZEHOHb+QJO1W1G1+/TmSynUrAFC8XDEMBgM//mMus8+Gd2H2uPkYjUacnJ1ISEid53dt/9q06dsagIyZM1KzRY0kveAKlCjAheMXX7p+4NBOLBy3yFyOifEJGA1GXFLwsfm+V0bO/fIbv917BMDB7yPxyZiGt9xdOPvLbT7OmQU7u6e9ibO/lYa/Hidw8eZvgOlNqddu/0Ver6Rzwk3d/zW9KubH3s6O+EQDjg722NvZ8Sgh0XrB2YjuE1M24xv2z9osMkwVICgoiIiICEtt3qpWL91ITt9s7Dq8HmdnJ9Ys38SZE+cA6BkQxPhpw+jWpyNxj+Po3mFAkidIpcoW5+GDh1w8ZxrDvmjOSsZPHQrA5DEzrR+MDcTG3qZNi25MDh5hmow4Lo52rT7jzOnz5PTNzv4joTg6OnDs6GmmTEo6p97w0f0ZN2YaiYmJ3PvrPuG7Ijhycge3b/9OO//U9QQzNvY2rZt3ZfLUkaZyfBxH25bdGTi4B3Z2dgwb2Y9hI/sB8MvPN2nTspt53RFjBjB+9NNyDNsZwdFTO7l96zfaprJyBPjp6s/MC1lC6N5V2Nvb88WpC4wYOAGAXO/k4OaNyBeu5+zsxGf9OtG2iemp79GDJ2jVvglhhzdw4exXfPdN6hne8rdcuXMQE3MrydPKZYvX4psrOweOb8XZ2YkVSzdw8vgX5u+dnZ3oM6ALzRt1AuDQgWO07dicA8e2cu7sl3xzJXW95Oa/6tUpiHFTh9K1TwceP47js44Dk9Q3n5T9+El98zUAi+esYkywqb6ZMjZ11Df/Rbc2/RgxaSDN2nyKvb09s6Ys4quLV8zfv+Pny7v58jBppOntjOuWbyF4/li69OnA3GkvfuCRkq1ZuokcvtnYcWgtTs5OrFu+hTMnTEOo+nYewrhpQ3FyciI25jZd2/RNsq6OyZfXN25uroycOIiIU1tJTDRw4shp5oUsNa+n+ubVsufKRtTN53tcD+s6mqDJ/Wjb05+4x3EMCRyV5HeyWJnCPHzwkMvnTQ3waxdsYNAk03E7Z0LKfxvos9bOWsegkAEsjJiPHXasmLqS7758Wv/65PIh+kbMC9ctXLoQDx8+4psL3wKwccFmek8yvTBn0YSU+zv5sW8W2hT3o+Pqozg52JPe1ZlpjUzzZv7y+z2yZnBPsnx6V2emNSzO5H2XiEsw4Ghvx9AaH5l71gGcuhaLm7MDBXxMvTr9i+dhTJipoblHhaS9tlMi3SdKamZnfFnf42Qkd+ZC/76Q/Ku/4lPfxL+W8AacMm+EdE6pr0eepTxIeGzrLKQI6Z3T2DoLKYYdz88zJv87WzylTakSDM8Pb5L/nZdrpn9fSP5VGntnW2chxdgxVveJr0OOHqG2zkKKcetuyp8P9b/6wLO4rbPwP7kcY915gfU2VRERERERERERESuxyDDVrVu3vvL7+vXrW2K3IiIiIiIiIiJiYwaNKHslizTGnTp1ij179lC9evUXfq/GOBERERERERERSY0s0hg3ceJE7ty5Q5EiRWjUqJEldiEiIiIiIiIiIvLGsdiccaNHj+bu3buW2ryIiIiIiIiIiCRDxjfsn7VZrDHOw8ODDh06WGrzIiIiIiIiIiIibxyrvU01MDDQWrsSERERERERERFJliwyZ9yLxMbGWmtXIiIiIiIiIiJiI3qb6qtZrWecUf8RIiIiIiIiIiKSylmtMW7BggXW2pWIiIiIiIiIiEiyZLXGOA8PD2vtSkREREREREREJFmyyJxxs2bNeuX33bt3t8RuRURERERERETExoxoqrJXsUjPuMTERBYvXozBYLDE5kVERERERERERN5IFukZ17NnT2JjY3FzcyMgIMASuxAREREREREREXnjWKQxDiAoKIiIiAhLbV5ERERERERERJIhg1HDVF/FYi9wSJs2LfXr17fU5kVERERERERERN44VnubqoiIiIiIiIiISGpnkWGqW7dufeX36jEnIiIiIiIiIiKpkUUa406dOsWePXuoXr36C79XY5yIiIiIiIiISMpkRHPGvYpFGuMmTpzInTt3KFKkCI0aNbLELkRERERERERERN44FpszbvTo0dy9e9dSmxcREREREREREXnjWKRnHICHhwcdOnSw1OZFRERERERERCQZMhoNts5CsmaxxrijR4+ye/duoqOjsbe3x8PDg7Jly1KtWjVL7VJERERERERERCRZs0hjXEhICJcuXaJu3bp4eHgAEBsby6ZNm7h48SIDBw60xG5FRERERERERESSNYs0xoWFhREeHo69fdIp6WrXrk3t2rXVGCciIiIiIiIikkIZ9DbVV7LICxxcXFyIjo5+Lj0yMhJnZ2dL7FJERERERERERCTZs0jPuEGDBtGyZUt8fX3JkiULALdu3eL69etMmDDBErsUERERERERERFJ9izSGPfJJ5/Qr18/rl27hoODA9mzZ8fT05OCBQsSGhpKiRIlLLFbERERERERERGRZM0ijXFTpkzh8uXL5M6dm7CwMAYNGkSxYsUAWLduHU2bNrXEbuVfONtb7OW5qcrjxHhbZyFFiDMk2DoLKYbmY3g9DEaV4+sSb4izdRZSBDs7O1tnIcVwsHOwdRZShEeJOrdfB3t0br8u7Yd/a+sspAgd3ypi6yxICmTUtfUrWaR15vDhw4SGhuLo6Ii/vz/t27fH2dmZGjVq6D9ERERERERERERSLYs0xhmNRvPTXF9fX+bPn0+7du3IlCmTnvKKiIiIiIiIiEiqZZG3qVavXh1/f38uXboEgJ+fHyEhIfTq1YtffvnFErsUEREREREREZFkwIDxjfpYm0V6xnXv3p0iRYqQJk0ac1qRIkXYsmULS5YsscQuRUREREREREREkj2LzehfsmTJ59K8vb0ZMmSIpXYpIiIiIiIiIiKSrFlkmKqIiIiIiIiIiIg8z2I940REREREREREJPUxGq0/D9ubRD3jRERERERERERErESNcSIiIiIiIiIiIlaiYaoiIiIiIiIiIvLaGDRM9ZXUM05ERERERERERMRK1BgnIiIiIiIiIiJiJRqmKiIiIiIiIiIir40RDVN9FfWMExERERERERERsRI1xomIiIiIiIiIiFiJGuNERERERERERESsRHPGiYiIiIiIiIjIa2M0as64V1HPOBEREREREREREStRY5yIiIiIiIiIiIiVaJiqiIiIiIiIiIi8NgY0TPVV1DNORERERERERETEStQYJyIiIiIiIiIiYiVqjBMREREREREREbESzRknIiIiIiIiIiKvjdGoOeNeRT3jRERERERERERErESNcSIiIiIiIiIiIlaiYaoiIiIiIiIiIvLaGDRM9ZXUM05ERERERERERMRK1BgnIiIiIiIiIiJiJWqMe4nJM0fRsZs/APb29gwb1599J7dw4Mw2WrRtZF7ON3cO1u9YzJ7jmwndu5LceXwBcHJyZNGaEHYdWs/Y4CHm5XP4ZmPFprlWjSU5qF6rEvuObWHvkc1s3L6UnL7ZcXV1IXjmGCKOh3LgxDaCZ47B1dUFgCrVy3PgxDZ2H9pIgY8+MG9n8vRRlClXwlZh2Nz7+d5l266VHDi6lYhDmyn4pGx69e3MybO7OXNxHwOCPjMvX616BY6d3sWBI6F8VCi/OX3ajLGULf+J1fOfnLzomPxbVh8vzl4+wFuZMprTWrVtzMGT29m+ZzXZc/iY01dsmEued3NbNe/Jyfv53mXrzhUcOBrKvkObKfDRBzg5OTFl+iiOnd7FsdO7GDV2IPb2puqmavUKHD21k/1HtlDwmWNy6owxlC1f0lZh2NTkmSP/Ud/0Y+/JzRw4s43mbRual6tYrSznfjjIjoNrzZ80ad0BmDRjJDsPrWPeimAcHU0zUKTPkI6N4ctwdnayflA21DagBQdPbyf88EZmLpxEhozpzd95+3hy5uuIJOd2yzaN2X9yK6F7ViU5t5etn0Oed3NZNe/JSduA5hw4vZ2wQxuYseAf5ZjVk9Nf70tSji3aNCLiRCihu1cmLcd1s1NtOf7Xa8kChfKxYddSdh5cR/iRDdRrXPPpNmaMZNeh9cxbMTXJub0pfHmqOrdHhQzBv0vz59KnLB7PwPF9zH/7vf8OS7fPZV3EMtbuW0qpik+vGUdOH8z6/cuYunQCjo4OAKTLkI7lO+fjlErKcsi0ATQPbALA2AUjWLZ3gfmz55vtTFo6FoDCn3zE4rC5LNu3kAU7ZvH+R3kBcHRyZPLycSzbt5D+k3qbt+uTMyvT1062fkBWVrpBOSaGT2NC2DRGbZlI7g/fAWDczmA+j5jJhDDTd7UD6wNgZ29Pw17NGL8rmOADs/Ef1t68rUotqvJ5xExGhU4kS3YPc/qAZcPImiebdQOzgZKtq9Jr72R67pmE/8I+pHk7PS7p3Ggxpyc990yi177JlO1cx7x87pL56L5zHD3CJ9Jx7RC83s8BgIOTA20W96NH+ATqj+9gXj5TDg/arwyyelySlNFofKM+1qbGuH94xy8Xq0LnU6teFXNaizYNyZU7B9VLN6Z+lVa0C2xBgUKmRpBp88axetlGqpVqyPRJ85izbAoAZSuVIjoyllrlm+KTzZt385p+rAeP7sP4EdOsH5gNubq6MHP+RAL8e1G1bEP2hh9kzKQgevQNxNHRgSqlP6Vy6Qa4urnSvXcAAH0HdaNp/Q4M7jeG7r06AlCwUH7Sp0/L0cOnbBmOzbi5ubJp6xJmhiyiYpn6BE+ew7xFwVSuWo669atTqWwDyhSvRekyxanXoAYAAwf34NM6bejfdyQ9encCoFDhD0mXPi1HDp2wZTg29bJjEqBR07psCVuBd1bPJOt069WRauUasmj+Ktp2NN0Q1KpblR++/ZGr3/9k9RiSAzc3VzaGLmZWyCIqlmlgOiYXTqFDp5a8nTkTZUrUptwndSlWvNAzx+RnNKzblgF9RtHzyfn+UeEPSZ8+HUcOnbRlOFb3d31T85n6pnmbhvjmzkGN0k2eq28KFyvAotkrqVOhuflz/94D3svnh4dnZmqXb8at2N8oU9HUqNk7qCtzpi0mLi7eJvHZQsnSxejSsz3NGwRQo1xjDu47yqTpIwBo2LQOm3Ytx+sf53aXXu2pUa4xS+avonXHZgDUrFuFH777kavfX7N6DMlBydLF6NyjPS0aBFCzfBMORhxl4jRTOX7atA4bdy3DyztpOXbt2YGa5ZuwZP5qWnd4Uo51qvDDdz+lunL8X68l5yydQsikedSu0Ix2TbszZHRffHPnIG8+P7J4ZqZW+abcjv2Nsk/O7T5BXZkzbVGqOLdz+eVk/qYZVKlT8bnv2nRrQeESBZKkjZ09nOVz1tCscluGfjaaSQvG4OjkiN/775DZ422aVmrLb7G/U7JCcQC6DgxgUchy4lN4WebMk4MZG4KpWKe8OW1op1G0rdqJtlU7MbF/MPf+vE/wkBAcnRwZPXcYE/sH07ZKAMtCVjF8hukaqUT5j7kVdYu2VQLw8vEk13u+AHQf3plZY+bZIDLr8c6dlRaD2zCxzWiCavYmdOZGes8fhIubC545vBhUvRdBNXsTVLM3O+dvBaBG+9rkK5GfEZ8GMbB6T/wKv0fJOqUBqNu1IUE1e7N7yU6qtjY1wH9csyS//nCDyKs3bRanNWTNn4synWoxt+EIQqoN5Pa1aKr0bUzVPo35M/p3QqoNZHbdYZRoVZkchf1wSedGq3m9CR+/hhk1BrFt6FJazOqBg7Mj75YryN3o35lRI4i3fDLj+a6pIbPm0FaEjV9t40hFXk0vcPgH/w5N2LRmO5E3o81pVWtVZO2KzSQmJvLn3b/YGbqH+o1rERMVS24/X3Zs2QPA4f3HGfP5YD4okJe4x3G4urkC4OrmSnx8PBWrliEmKpZvL39vk9hsxd7BATs7O9KlTwtAmjTuPHoUx6kTZ7n5y6/mluivL33De3nzABD3OA43N1fc3d2IizddIA0d3ZdeXQfbLA5bK1+xNNeu3SBi72EAwsP28/PPNwkI9GfLxh08ePAQgDWrNtO4aV22hYbzOC4ON3c33N3diX9SjiPHDKBb54E2iyM5eNkx6emVhWq1KuLfpAuHTm1Psk5CfALOLs64u7sRHx+Pq5srnbu3pdmnHW0RQrJQvmIprl+7QcS+IwDsDtvPLz/f5Mrl71g0fxVGo5FMmTKSIUN67ty5C8Djx3G4ubvinsbNfCM5cnR/uncZZLM4bKWVub6JMqdVrVWBdSu2PFPf7KV+45pcunCZwh8XJCE+gep1KvHwwSOCx8/mi5PniYuLw9nVGQA3dzfi4+LJ+4Ef3j6eHNx71Fbh2cSHH+Xj2KFTREfGABC+cz+TQkaR1cdwAFP5AAAgAElEQVSLqjUr0rZpV/af3JZknSTndpzp3O7UvQ0tP+1kixCShQ8L5uPY4afluHvnfiZNH0lWHy+q1axAu2bdiDixNck68fHx5nKMe/IbGdC9Da0apr5y/F+uJb+98gMzPl/A8SOnAYiOiuWP3+/gldWDmOhbuDwZMeDm7kpcXDx5P3gXbx8vDqSSc7tJu4ZsX7eL6F9jkqQXLVWYTyqUYNPybaTLmM6c3qJKexITEwHIntOHv+7+hSHRQFxcPC5Pfidd3V2Jj0vg3Xx58MrqwdF9Kf/hZMO29dm1fjcx/yhHMPV2Gzp9ICEjZhMbeQuAekWakJhgKsesOby5+8efAMTFxeHy5P7GxdWFhPgEPqlcglvRt7l6JWU/mIyPS2DhwNncif0DgJ8uXSVjloy8V+x9Hj14yIClw8jo8RZfH/uSdZNXEf84jjKfVmD1uKXEP44DYFrnSSTEJwCQGJ+Ak7MTLu6uJMQl4OzqTO2A+oxvNcJmMVpL5NfXmFK+D4aERBxdnMjglYnfb9xi7+frsXcw9RVK75ERB2dHHv35gMy+Xjz66wE/nrgMwK0fI3l87yE5CvuREJeA05PfSUdXZxLjE8hbsRB/Rv9O9De/2CxGkf/CIo1xUVFRjBkzhujoaCpXrkxgYCAODqbu4IGBgcyfP98Su30tRg6aBMAnZT82p3n7eBL1TOUVFRlL3nx+ePt4ERt9K0mXxujIGLyyenJgzxFq1qvCzoPriNh9iF9vRDFl9hjaNe1uvWCSiQf3HzCoz2i27VnNH7/fwcHBnvrV/bl+7ekPpE92bzp29mdg75EAjB0ZzJzFU3j06BEDe4+iuX9Djh8+za83ol6yl5QvTx5fYmNuMX3WOPLnz8vdu38xavhksmbz4sjhpz2KIiNjyJrVC4BRwz5n4dJpPHr4iD49h9OqdWOOHD7JzRuRtgojWXjZMRkTfYuA1r1euM6E0dPZtGMZt279Ru+uQ+jRpxPLFq/l/r0HVs598vFOnlzExpqOyQ/y5+Xu3T8ZPfxzABISEhg2si8dAlpy8cLXnDpxFoDRwz9nwRLTMdm31whatW7EkcOnUuUxOcpc3xQzp/2zvomOjCFvPj8A7vx+l60bdrE37CBFin/E/JVTqV2uGdeu/sy5UxfZcXAtX57/muOHT7Ns42yG959g3YCSgYvnvqZdp5b4ZPPm15tRNGlRHxcXZxISEghs0/uF60waE8L67Uu4fet3+nYbSvfeAaxYtC5Vn9sXz39N204tninHes+UY58XrjN57AzWb1vC7Vu/0bf7ULr37siKxamzHP+Xa8m4x3FsWP20YbNZ609Jk8aNC2e/4vGjx5w9dYGdB9dx8fxXHD98muUb5zCs/3jrBWNjkwZPBeDjMkXNaVk8M9N/TE+6NetDw9b1kiz/d0Pc9lMbyJrdi8+HhWAwGPj5x1+4cPoS6yKW8dX5y5w+8gVz1k1j/MDPrReMDU0dOgOAoqULPfdd7eY1uR3zG0d2HzOnJSYk8lbmt1i6ez4ZMqVneJcxAHxx5BwVa5dj2d4FHN1znOibMQwLGUTfVin/gdrtm7Hcvhlr/tt/WDvORXyBk7MTV05+zdJh80mIT6BbSB+aD/RnxejFeOfOio9fdup1a0T6TOk5F3GGjVPXAbBu8iqGrR/L3dt3mNd3BvW7N2LvinAe3X9kqxCtypCQSL6qRfl0YgAJcfHsm7rJlJ5ooMm0ruSv+TFX9pzl1k+ROLu74uzuil+ZD/nh6FdkK5Abj3ezkd4jI5d2nOLDmsX5LGw83+w7xx+/3qbx1C4sbZPyh03Lm88ijXGDBw+mdu3avPfee8yaNYvOnTszd+5cHB0diYl5/olMcvf3XEfPSkw0vDAdwJCYiNFoJKjXaHNatz4d2bhmG5nefotJM0YCMHPKAq589Z1F8pyc5M3nR68BXahQoi4/X79B+04tWbhiOlXKfAqYnsAvXjWDZYvWELHH1OvrzMnz1K5sGuaSIUN6Wvg3pFGdtnzWJ4DCRQvy/Xc/MmFU6hru6+jkSOWq5ahf25/zZy9Ro2Yl1m5ayA/f/fjcsokGAwCnTp6lagXTvDQZMqanVZvG1KvZil59O1O0WEG++/ZHxoycYtU4koN/OyZfJGzHPsJ27AMgp292ihQryJQJsxg1fhDZc/pw6vhZFsxZbq0QkgUnJ0cqVSlHg9qtOX/uEtVrVmLtxgUUyl+BuLh4xowMZsLYEKbNGMPnU0fSvcsgTp08R7WKjQHTMdmydWPq1/KnV99AihT9iO+/u8qYkcE2jsx2XlzfmG4uu7btZ047d/oi57+4RKnyJdi8djtTJ8xh6oQ5ANRrXJNLF65w7697hCycgKubKysWruP44dPWCcKGzpw8x/TJc1mwcjpGg5H1q0P54/c7rxzOF74jgvAdEQDk9M1GkWIFmDpxNiPGDyB7jmycOnGWRXNWWCuEZOHMyXOETJ7HghXTMRgNbFi99X8qxxy+2ShcrCBTJ85h+LgBZM/pw+njZ1k0d6W1Qkh2XnYt+azOPdrRNrA5bZt05/GjxwAvOLcvPzm3J+Lm5sqKhWs5lgrO7b85Ojowcd4opgwL4Xbsby9drm6JJmTN4c2SrXP46btrfHH8PHMmLWTOpIUA1GxYlcsXv+HevftMnDcKVzdX1i7exOkjX1grlGSjaUBDJg+Y+lz6H7f/oH7RJryb34+Q9VPoVKcbN366ycT+T+voNj1bsXNdOBkyZSAoeAAAS6et4IfLV62Wf2tzcXOhc3AP3vbOzMQ2o3nw533ORTw9brbN2kTv+QNZMXoxDo4O+BV+j0ltR+Po5Ej/xUOp3rYW4Ut2cCb8JGfCTQ/TPXJ44Vc4LxunrqP18A5kye7BN6cvE7Zo+8uykSJc2XuWK3vPUqxZBdqvGMSUcr0xGo1s6D2HrUMW03Jebyr1/JSIaZtZGRBM1f5NqDG4BddOf8tPJy6TEJeA0Whky6CF5m1W6F6fsxsOkyZTOhp9buqZvX/GFqIu/2yrMFM1A9afh+1NYpE54+7cuUPDhg3Jnz8/c+fOJV26dPTv398Su7KKyJvReHhmNv/t5Z2F6KgYIm9GkcUjc5JlPb09iIqMTZKW1ceLMhVKsn5lKL0GdmbJ3FWMHDiREeMHWCX/tlauYinOnr7Az9dvALBs0Vreez8Pb2XKSN1Pa7A2dBHjR01j5tSFL1y//5DPmDFtIT7ZvCldtgTtWnTnrbcyUrpscWuGYXPRUbFc/f4nzp+9BJiGqTo4OGAwGPH0ymJezjurJ5G/Rj+3ftDQXkyfMo9s2bNStlxJWjXrQqZMGSlTLvVNmv+qY/K/GDFuAKOHfU7pciVIk9ad9i0/o3ylUvjmymHJbCc70VGxXP3hJ86fMx2Tu8P2Y+/gwEeFPiT3O76AqYfc2jWhfFgw33PrBw3pyfTg+fhky0qZciXxb96FtzJlTNUvaflnfePp7UF0VCzp0qelS6/2SZa1s7MjISEhSVqatO607tiUOdMW0TawJQf3HqNHx0EMHdeP1CBNWndOHT9LrQpNqV2pmblx6M4fd//T+sPGDmDs8GBKlStOmrRp6NiqB+UrlSJnruz/vnIKkiatO6dOnKVWxabUqdSc8CcPIv57OfZn3PBgSpUtTtq07gS06km5VFiOz3rZtSSAs7MTIQsmUOfT6jSs3uaF05mkSetOm47NmD1tEe0CW3Jw71E+6ziQoePe3Ovr/xf5CuYlaw5v+o7qwbqIZTRqXZ9q9SoyPHgQjk6OVKtXCTs7OwAif4ni9NGz5P3w3STbcE/jTrMOjVgUspyWAU05GnGCgYHD6D+mpy1Csim/D/Lg4ODAhZNfmtPSpEtD2eqlzX9///UPXL3yI+/kTfoiFs+sHnxctig71oTRoW9b1i/YyNShM+g9JuWOAno7a2ZGbZmIIdHAmGbDePDnfQpXKkbej59e49jZYR7i+0fM75zcfpSEuAQe3X/EqbDj+BV+77nt+g9rx+pxS8lfqgCuad0IDphAwXKF8czpZbXYrOntnJ7kLPq0HM5uOERGn8zkr1WcdB6ma/G4B4/5cvsJsn6QCzs7Ox4/eMTCZmOZUSOIHSOXkymnJ7/9nLSTT4asb+NX5kPOrjtI5d4NObYojO3Dl1FnRBurxifyX1mkMc7BwYEffvgBMN0sTJo0id9//53hw4ebn/C/SfaFH6Jxy3o4ODiQLn1aajeoxt6wQ0RHxfLz9RvUblANgDIVSmIwGPjuyg9J1g8a1ZuJI6djNBpxdnYmPj4Bg9GIq7urLcKxuq+//IYSpYqSOcvbgOktlr/8/CuflP6YMRODaPFpAFs37Xrhuvnyv0e27FnZF34QZxdT2QEYjQbc3N2sFkNysH/fEbLn9DG/QbXkJ0UxGo3Mn7OMRo3r4O7uhrOzE81bNCBsV0SSdT/In5fs2bOyO/yA6RhMMPVuMBgMuLuljuPwWS87Jv/4/c6/rlu5WjliomO5/NW35mFbAEYjuLq5WDTfyc3+fUfInsPH/Mbjv4/J0mVLMHZCEA5P5uZr1KQOx44k7bnxwZNze0/4AVM5Pjm3DQYDbm6p69x+VkT4IRr9o77ZF3aQ+/ce0KpDE6rVNk1inu/D9yhY6AOO7E8611GP/p1YMnc1Dx88wtnFiYSEeIwGA26p5Dz39PJgw46lpE2XBoAe/QLZtjn8P61bqWrZp+e289Nj0mg04uqaOsrvb55eHqzfviRJOW7f8t/KsWLVssRE3+LyV9/+o95OfeX4rJddSwLMWvI5adOloVHNNi+djqNH/0AWz1315Nw21T2p6dz+26Vzl6lR5FOaVW5Ls8pt2bRiK3u2HWB034kkxCfQdVAnqtWvDJiGsxYrVZhzJy8m2UZgv3asmr+eR3//TsYnYDAYU10dDlCoZEHOH7+QJM2QmEhQcH8+LGqq23O960vOPDm4fOGbJMt1G96ZOePmP7m/cTIfky4p9JhMkyEtwzeM44vdp5j5WbB5HrhM3m/TckhbnFycsbO3p2ZAPU7uNA35PRN+ktINymNnZ4eDowOFKxXlx0tJ7xMLVSzKHzG/c/3yNZycnUh85jfT2TVlHpPpPDLSfGZ33N8yzff4Uf3SxHx/A78yH1Kpl+kt8g7OjhSoVYIfT17GaDTSdukAfD40NQjnr1mcxPjE5+aEqzm4JeET12I0GnF0diIxIRGjwYhzKjy35c1gkWGqQUFBBAYG0rt3b+rUqYOTkxNz586lX79+XL365nVbXr10Izl9s7Hr8HqcnZ1Ys3wTZ06cA6BnQBDjpw2jW5+OxD2Oo3uHAUnmkCtVtjgPHzzk4rmvAFg0ZyXjpw4FYPKYmdYPxgaOHz3N3JlL2bRjKfHxCdz54y7tW3ZnyaqZ2NnZMWXG0+G8X5y+wJD+Y81/Dx/Tn8H9TPNUfHvlB367/Rv7jm3hl+s3ORhx7Ll9pWSxsbdp3bwrk6eONE2Q/TiOti27c/rUOd7/4D32HtyEs7MT4bv2s35NaJJ1R48bxIC+IwH45sr33L71O4dPbOfn6zfZH5E6JoF+1suOyX/j7OxEz36d8W/cGYDDB47TukMz9h3dwvmzX/LtPxriU7rY2Nu0adGNycEjTMdkXBztWn3G+XOXGDtxMIeOb8NgMHD61HnGjko69HTUuEEM6DMKMB2Tt279xqHj2/n5+g0OpMJj8m+rl24ih292dh5eh7OzE2uXb+bMifMAdPbvzfAJA+k1sDMJCYn0CBiUpAH5Hb9cvPu+HxNGTAdg7fLNTJ8/nm59OjJ76iKbxGNtP129zpzpi9m2bw32dnZ8cfoCwwb8+/xazs5O9OgfSOvGXQA4cvAE/h2asfvIJi6cvcR336Suc/unq9eZG7KYbXtXY2dvz9lT5xk28N/nIHR2dqJHv0DaNDGV49GDJ2jdvinhhzemynJ81suuJYt8XJDK1cvx09XrbNy1zLz8pNEhHD1oGsL2jl8u3ns/DxNGmKbnWLt8E9PnT0hV5/Z/1bddEEET+tK2W0sMBgPTRs/mypffmr/P5ZeTPHnfYdqo2QBsWrGNCXNH0rF3WxZNS11TTQBky+VD1M2kvYsePnhEUIdh9BzVDUcnR+IexzOy+zhuRd02L1O0TGEePXjE5fOmBrq1CzYyYJJpPsl5E1LmMVnFvzqZs2amaLUSFK32tAf/uBbD8cjhyYSwYOwdHLhy8mu2hKwHYP3nq2kR1JrJ+2bg4GDPV8e+JHzxDvO6js6OfNqjCRPbmO6FLh29QJXW1ZkYPo0fLnzPje9S5tDK6198x8HZ2whYNxRDYiJ/xdxhZcBUHv55n/rjOtBzzyQwGrmy9xwnluwGYH3PWXw6MQAHJ0f+ir3Dyk5Jh1a/Uyo/cQ8fc+OCqa3h6MJdNBhvesnanknrrBugmD3bLiLPszNasITi4uJwdnZOkvbNN9/w/vvv/0/byZ35+clG5X/3ODHO1llIER4nvnzOHPnvXBycbJ2FFCPOkPDvC8m/Su+UxtZZSDHiDfqdfB3+Hm4n//8c7BxsnYUUIYOju62zkCK4O6inzuuSwzG9rbOQIvja6dx+XSZcX2PrLCQb6dPktnUW/id/3rfuW6EtMkz1b/9siAP+54Y4ERERERERERGRlMIiw1S3bt36yu/r169vid2KiIiIiIiIiIgkaxZpjDt16hR79uyhevXqL/xejXEiIiIiIiIiIimTQXPGvZJFGuMmTpzInTt3KFKkCI0aNbLELkRERERERERERN44FpszbvTo0dy9e9dSmxcREREREREREXnjWKRnHICHhwcdOnSw1OZFRERERERERCQZMqJhqq9i0bepPiswMNBauxIREREREREREUmWrNYYFxsba61diYiIiIiIiIiIJEsWG6b6T0a9SUNEREREREREJMX7v/buPCjq+vHj+GtZQGDQaguwcUgtM5tGGaNMvBrtK6GAJB6JDmpeHUpkmeJRkJOl5oyjmV0DZXYQYIgoKV6VyGrHGB6kNaKJiVd5bR4Lu/v74zsxP4n8Vrb74ZPPxwwz7q77fr/8zI7s5zXv9+fD3VSvzGcr49566y1fTQUAAAAAAAA0ST4r48LDw301FQAAAAAAANAkeWWb6pIlS674+qRJk7wxLQAAAAAAANCkeWVlnMvlUnZ2ttxutzeGBwAAAAAAQBPl8XhM9eNrXlkZl56eruPHjys4OFjjx4/3xhQAAAAAAACA6XjtmnHTp09XWFiYt4YHAAAAAAAATMcrK+MkKTQ0VA899JC3hgcAAAAAAEAT5JHvt36aic/upgoAAAAAAABc67yyMm7lypVXfJ0VcwAAAAAAALgWeaWM27Ztm9atW6e4uLhGX6eMAwAAAAAAwLXIK2Xc3Llzdfr0aUVHR2vw4MHemAIAAAAAAABNkMfDNeOuxGvXjJs9e7bOnDnjreEBAAAAAAAA0/FaGRceHq6xY8d6a3gAAAAAAADAdLyyTVWStmzZorVr1+ro0aPy8/NTeHi4evXqpQcffNBbUwIAAAAAAMBgbFO9Mq+UcYsWLdLOnTs1YMAAhYeHS5KOHz+ugoICffvtt5o2bZo3pgUAAAAAAACaNK+UcSUlJfr000/l53f5LtiEhAQlJCRQxgEAAAAAAOCa5JVrxjV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AAAAAAAA+QhkHAAAAAAAA+AhlHAAAAAAAAOAjlHEAAAAAAACAj1DGAQAAAAAAAD5CGQcAAAAAAAD4yP8BnyCBMDHQ4UAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1728x1152 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(24, 16))\n",
    "plt.title('Cohorts: Order Retention')\n",
    "sns.heatmap(order_retention.T, mask=order_retention.T.isnull(), annot=True, fmt='.0%');"
   ]
  },
  {
   "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}