3 - RQ2 Analysis.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "b9326eb5",
   "metadata": {},
   "source": [
    "# RQ2 Analysis | Anthony Hernandez | SI 305"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "0d5b2222",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "768133b7",
   "metadata": {},
   "source": [
    "## RQ #2: *Which pipe materials demonstrate the highest cost efficiency and sustainability in Ann Arbor's water main infrastructure, considering factors such as maintenance costs and durability?*"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "489e98c6",
   "metadata": {},
   "source": [
    "### Data Cleaning of Watermain Breaks and Watermain Attributes data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "11e4e094",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 966 entries, 0 to 965\n",
      "Data columns (total 11 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   Work Order ID   966 non-null    int64  \n",
      " 1   Status          966 non-null    object \n",
      " 2   Actual Start    475 non-null    object \n",
      " 3   Actual Finish   904 non-null    object \n",
      " 4   Canceled        966 non-null    object \n",
      " 5   Expense Type    966 non-null    object \n",
      " 6   Total Cost      966 non-null    float64\n",
      " 7   Labor Cost      966 non-null    float64\n",
      " 8   Material Cost   966 non-null    float64\n",
      " 9   Equipment Cost  966 non-null    float64\n",
      " 10  Permit Cost     966 non-null    int64  \n",
      "dtypes: float64(4), int64(2), object(5)\n",
      "memory usage: 83.1+ KB\n"
     ]
    }
   ],
   "source": [
    "# read in Watermain Breaks dataset needed for analysis, dropped columns not applicable for analysis.\n",
    "url_watermain_breaks = 'https://drive.google.com/file/d/1LTYIn0aq4gBmD65B508miLt8cSzfLom8/view?usp=sharing'\n",
    "url_download_watermain_breaks ='https://drive.google.com/uc?export=download&id=' + url_watermain_breaks.split('/')[-2]\n",
    "watermain_breaks_data = pd.read_csv(url_download_watermain_breaks)\n",
    "watermain_breaks_data = watermain_breaks_data[['Work Order ID','Status','Actual Start','Actual Finish','Canceled','Expense Type','Total Cost','Labor Cost','Material Cost','Equipment Cost','Permit Cost']]\n",
    "\n",
    "\n",
    "# used .info() to understand what types of data i am working with after column filter.\n",
    "watermain_breaks_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "41e358c5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 876 entries, 0 to 875\n",
      "Data columns (total 9 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   FACILITYID     876 non-null    object \n",
      " 1   INSTALLDAT     868 non-null    object \n",
      " 2   MATERIAL       876 non-null    object \n",
      " 3   LENGTH         876 non-null    float64\n",
      " 4   DIAMETER       876 non-null    float64\n",
      " 5   DEPTH          876 non-null    float64\n",
      " 6   STATUS         876 non-null    object \n",
      " 7   Work Order ID  876 non-null    int64  \n",
      " 8   INITIATE DATE  876 non-null    object \n",
      "dtypes: float64(3), int64(1), object(5)\n",
      "memory usage: 61.7+ KB\n"
     ]
    }
   ],
   "source": [
    "# read in Water Main Attributes dataset and selected columns of interest of analysis.\n",
    "watermain_attributes_data = pd.read_csv('https://docs.google.com/spreadsheets/d/1pIrZNiLOfzLmbNErw2JdtS0X0exFCEPLYovPrTzEauk/gviz/tq?tqx=out:csv')\n",
    "watermain_attributes_data = watermain_attributes_data.rename(columns={'WORKORDERI': 'Work Order ID'})\n",
    "watermain_attributes_data = watermain_attributes_data[['FACILITYID','INSTALLDAT','MATERIAL','LENGTH','DIAMETER','DEPTH','STATUS','Work Order ID','INITIATE DATE']]\n",
    "\n",
    "# used .info() to understand what types of data i am working with after filter.\n",
    "watermain_attributes_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "503f8b7b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# merged both datasets on Work order ID number\n",
    "main_data = pd.merge(watermain_breaks_data, watermain_attributes_data, on='Work Order ID', how = 'inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "498a5757",
   "metadata": {},
   "outputs": [],
   "source": [
    "# filtered main_data to pipes installed on or after 1/1/1950 because i am focusing on pipes installed after 1950\n",
    "main_data['INSTALLDAT'] = pd.to_datetime(main_data['INSTALLDAT'])\n",
    "main_data = main_data[main_data['INSTALLDAT'] >= pd.to_datetime('1950-01-01')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "da3a1bdf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# replaced NaN rows of 'Actual Start' with 'Actual Finish' data as directed in the data description\n",
    "main_data['Actual Start'] = main_data['Actual Start'].fillna(main_data['Actual Finish'])\n",
    "\n",
    "# converted actual start and finish dates to a datetime objects \n",
    "main_data['Actual Start'] = pd.to_datetime(main_data['Actual Start'])\n",
    "main_data['Actual Finish'] = pd.to_datetime(main_data['Actual Finish'])\n",
    "\n",
    "# dropped any remaining NaN rows in the 'Actual Start' or 'Actual finish' columns to ensure no NaN remain\n",
    "main_data.dropna(subset=['Actual Start', 'Actual Finish'], how='all', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "59ea31df",
   "metadata": {},
   "outputs": [],
   "source": [
    "# created a year column to track what year watermain break occured\n",
    "main_data['YEAR of WM Break'] = main_data['Actual Start'].dt.year\n",
    "\n",
    "# created another year column to track what year the watermain was installed\n",
    "main_data['YEAR Installed'] = main_data['INSTALLDAT'].dt.year\n",
    "\n",
    "# calculated the age of each watermain at break and stored it in the Age column\n",
    "main_data['Age'] = main_data['YEAR of WM Break'] - main_data['YEAR Installed']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "36bb2191",
   "metadata": {},
   "outputs": [],
   "source": [
    "# renamed all 'ST' values in MATERIAL to 'STL' since they are the same\n",
    "main_data['MATERIAL'] = main_data['MATERIAL'].replace('ST', 'STL')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "ddd62b2b",
   "metadata": {},
   "source": [
    "##### My research question only focuses on pipe materials and months of watermain break occurences. I want to look into the values within the \"MATERIALS\" column and \"Age\" to see how they correspond with my RQ."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "77c42fff",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>MATERIAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CI</td>\n",
       "      <td>408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DI</td>\n",
       "      <td>182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>STL</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HDPE</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PVC</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AC</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  index  MATERIAL\n",
       "0    CI       408\n",
       "1    DI       182\n",
       "2   STL         2\n",
       "3  HDPE         1\n",
       "4   PVC         1\n",
       "5    AC         1"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 'MATERIAL' column value count breakdown to get an understanding of which materials i am working with\n",
    "main_data['MATERIAL'].value_counts().reset_index()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "93376fea",
   "metadata": {},
   "source": [
    "##### Cleaned dataset (main_data):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "f49fadfb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Work Order ID</th>\n",
       "      <th>Status</th>\n",
       "      <th>Actual Start</th>\n",
       "      <th>Actual Finish</th>\n",
       "      <th>Canceled</th>\n",
       "      <th>Expense Type</th>\n",
       "      <th>Total Cost</th>\n",
       "      <th>Labor Cost</th>\n",
       "      <th>Material Cost</th>\n",
       "      <th>Equipment Cost</th>\n",
       "      <th>...</th>\n",
       "      <th>INSTALLDAT</th>\n",
       "      <th>MATERIAL</th>\n",
       "      <th>LENGTH</th>\n",
       "      <th>DIAMETER</th>\n",
       "      <th>DEPTH</th>\n",
       "      <th>STATUS</th>\n",
       "      <th>INITIATE DATE</th>\n",
       "      <th>YEAR of WM Break</th>\n",
       "      <th>YEAR Installed</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>332757</td>\n",
       "      <td>CLOSED</td>\n",
       "      <td>2012-12-28</td>\n",
       "      <td>2012-12-28</td>\n",
       "      <td>N</td>\n",
       "      <td>MAINT</td>\n",
       "      <td>3217.02</td>\n",
       "      <td>950.58</td>\n",
       "      <td>438.90</td>\n",
       "      <td>1827.54</td>\n",
       "      <td>...</td>\n",
       "      <td>2006-04-11</td>\n",
       "      <td>DI</td>\n",
       "      <td>82.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>IS</td>\n",
       "      <td>1/2/2013 0:00</td>\n",
       "      <td>2012</td>\n",
       "      <td>2006</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>333296</td>\n",
       "      <td>CLOSED</td>\n",
       "      <td>2013-01-05</td>\n",
       "      <td>2013-01-05</td>\n",
       "      <td>N</td>\n",
       "      <td>MAINT</td>\n",
       "      <td>2541.46</td>\n",
       "      <td>1411.96</td>\n",
       "      <td>180.72</td>\n",
       "      <td>948.78</td>\n",
       "      <td>...</td>\n",
       "      <td>1965-03-22</td>\n",
       "      <td>DI</td>\n",
       "      <td>172.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>IS</td>\n",
       "      <td>1/7/2013 0:00</td>\n",
       "      <td>2013</td>\n",
       "      <td>1965</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>333352</td>\n",
       "      <td>CLOSED</td>\n",
       "      <td>2013-01-08</td>\n",
       "      <td>2013-01-08</td>\n",
       "      <td>N</td>\n",
       "      <td>MAINT</td>\n",
       "      <td>1245.09</td>\n",
       "      <td>584.35</td>\n",
       "      <td>177.00</td>\n",
       "      <td>483.74</td>\n",
       "      <td>...</td>\n",
       "      <td>1950-01-01</td>\n",
       "      <td>CI</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>AB</td>\n",
       "      <td>1/8/2013 0:00</td>\n",
       "      <td>2013</td>\n",
       "      <td>1950</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>333352</td>\n",
       "      <td>CLOSED</td>\n",
       "      <td>2013-01-08</td>\n",
       "      <td>2013-01-08</td>\n",
       "      <td>N</td>\n",
       "      <td>MAINT</td>\n",
       "      <td>1245.09</td>\n",
       "      <td>584.35</td>\n",
       "      <td>177.00</td>\n",
       "      <td>483.74</td>\n",
       "      <td>...</td>\n",
       "      <td>1950-01-01</td>\n",
       "      <td>CI</td>\n",
       "      <td>226.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>IS</td>\n",
       "      <td>1/8/2013 0:00</td>\n",
       "      <td>2013</td>\n",
       "      <td>1950</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>333352</td>\n",
       "      <td>CLOSED</td>\n",
       "      <td>2013-01-08</td>\n",
       "      <td>2013-01-08</td>\n",
       "      <td>N</td>\n",
       "      <td>MAINT</td>\n",
       "      <td>1245.09</td>\n",
       "      <td>584.35</td>\n",
       "      <td>177.00</td>\n",
       "      <td>483.74</td>\n",
       "      <td>...</td>\n",
       "      <td>1950-01-01</td>\n",
       "      <td>CI</td>\n",
       "      <td>561.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>IS</td>\n",
       "      <td>1/8/2013 0:00</td>\n",
       "      <td>2013</td>\n",
       "      <td>1950</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Work Order ID  Status Actual Start Actual Finish Canceled Expense Type  \\\n",
       "0         332757  CLOSED   2012-12-28    2012-12-28        N        MAINT   \n",
       "2         333296  CLOSED   2013-01-05    2013-01-05        N        MAINT   \n",
       "4         333352  CLOSED   2013-01-08    2013-01-08        N        MAINT   \n",
       "5         333352  CLOSED   2013-01-08    2013-01-08        N        MAINT   \n",
       "6         333352  CLOSED   2013-01-08    2013-01-08        N        MAINT   \n",
       "\n",
       "   Total Cost  Labor Cost  Material Cost  Equipment Cost  ...  INSTALLDAT  \\\n",
       "0     3217.02      950.58         438.90         1827.54  ...  2006-04-11   \n",
       "2     2541.46     1411.96         180.72          948.78  ...  1965-03-22   \n",
       "4     1245.09      584.35         177.00          483.74  ...  1950-01-01   \n",
       "5     1245.09      584.35         177.00          483.74  ...  1950-01-01   \n",
       "6     1245.09      584.35         177.00          483.74  ...  1950-01-01   \n",
       "\n",
       "  MATERIAL LENGTH DIAMETER  DEPTH  STATUS  INITIATE DATE YEAR of WM Break  \\\n",
       "0       DI   82.0      8.0    0.0      IS  1/2/2013 0:00             2012   \n",
       "2       DI  172.0      8.0    0.0      IS  1/7/2013 0:00             2013   \n",
       "4       CI    0.0      6.0    0.0      AB  1/8/2013 0:00             2013   \n",
       "5       CI  226.0      6.0    0.0      IS  1/8/2013 0:00             2013   \n",
       "6       CI  561.0      6.0    0.0      IS  1/8/2013 0:00             2013   \n",
       "\n",
       "  YEAR Installed  Age  \n",
       "0           2006    6  \n",
       "2           1965   48  \n",
       "4           1950   63  \n",
       "5           1950   63  \n",
       "6           1950   63  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# displayed a chunk of my dataset after filtering to show all the variables i will be working with in this RQ\n",
    "main_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "accf631c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/0k/xs0rlfyd4_x_ft_xsh29q6jc0000gn/T/ipykernel_44661/2244579009.py:3: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  correlation_matrix = main_data.corr()\n"
     ]
    },
    {
     "data": {
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juS+Ur169ZvDwUXw+bATfu//C4+AnSmt89Pgx9erKtw3169XlQYBijQ8ePqR+vYL2QY/kNe78Yw96enp07dwp/yGU0vmpX0sVDQ1069Yg9my+9vnsJfSbKG57VbU0yUpLk0vLfpWGfoOasvZcVVOTrNcFbSTNSt7xLAvtJEBGZiYPn4TRuJb8F5xGtZ24G6T8i0F+/jx/iY7NGlC+3D83n/qH8ClPMfmpUmZcRG3atGHq1KlkZmby6tUr/Pz8aNWqFVlZWaxcuRKAq1ev8urVK9q2bcujR484fPgwly5dks3RuXPnTiwtLTl48CD9+/cHcm/ytWvXUrt27QLnPHToEEOGDGHDhg18/rlizwJAUFAQenp6mJsX/ISoqalJ1apVCQqS7xD89NNPdOzYEciN79+8eTPbt2+XpW3btg0Li7xPZMHBwfzxxx88e/aMSpUqAfD1119z4sQJtm7dyvz589/7e5TBwSE3LjgkJIRGjRp9lGOWBC1TI9Ki5MMa0qPjUNXQQNNIQlpkDFpmRqRFxcnZpEXFoWVmXOLzJb58SVZ2Ngb6unLpBvp6xCUklvwHFMK67XswNpDQoHbh8a1FkZj0kuzsbCT6+nLpEj19pAkJCvPEJyQg0ctnr69PVlYWiUkvMTSQ0K5VcxKSkpg08wdycnK9i5917cSgfr1LrrEMXMu3GiX6enLpBnp6xEs/nsb/ArI6mS98SCLRQ3pLqjBPvDSBBhK9fPZv62QShgYGWFpYMGPqJGysrUlNTcX78BGmfDOT9SuXY1G5Uok0JiUlKb5v9PWQShMU5pFKEwrUj7z7Jlfj/QcPOHHqNOtWrSiRnsIoC9dS00iCqrp6gbY3PToOLVMjhXlizvhi6daPqD/PkuR3H716zlgM7YOqpqasPY8944vNRDfifW+Q+iQMo7ZNMe3RDtTUSqQPykY7CZCQlJzbVurJt5WGehW5mpCk1DHzc//xU4LDXzB77ND3G5cSKmr/3c64spSZTnzbtm1JSUnh+vXrSKVS7OzsMDExoXXr1gwZMoSUlBR8fHywsrKiatWqHD58GHV1dbmpfQwNDbG3tycgIG+Za01NTWrVKhg7fe3aNY4cOcK+ffvo3Vu5G/MtipbdbdCggezv4OBg0tPTadq0qSzNwMAAe/u8wX+3bt0iJyenQKx/WlqabLWwon7Ph2iHgksJv3v+tHyelY++alr+EeRvtbybrsimiJHn70OFf27p5J3eRzjje5VVP3+H1gcMgoK8S5FHDlC4zsKXjc793//ufX7fe4ApY0fhaGfL84hIVntsZbtEwtCByo24LwvXMr+aHBRdW0FxKHAtcwpvP3Lti17K3MnBHieHvLawhpMj4yZP49CRo3w1ZpRyGgvcBwqEy2fIl5Aj056amsqvS5YxZdIE9PJ1wj6UsnAtC7a9CtLe8HjBWrRMjWjmsxtUVEiPjuPZ795Umz6KnDchmw9mzMN5zc+09j9GTk4OqU/CebbDC4shfZTTR9loJxXpzC1vpQ8nx+Fzl6hmWYkatjbvNy4lVEUnvsSUmU68ra0tFhYWnD9/HqlUSuvWrYHcZW5tbGy4dOkS58+fp127dgCFTh2UvwNRvnx5hY1itWrVMDQ0ZMuWLXTv3r3IgT92dnYkJiby4sULmZf8Lenp6Tx58kSm6y06Onmf/oua5ugt2dnZqKmpcfPmTdTyeSQqVKjw3t+jLG9feN6dveZdFixYgLu7u1zanDlzaPiRzp8WFVvAo65pbEB2RgbpcQm5NpGxaJnJe360TAwKePCLg17FiqipqhbwFEsTkwp4SZRh18Gj7Nj/J8vdvy10UGRx0NOtiKqqKvH5vIfSxMQCXsO3GOjrE58g78VLSExETU0N3YoVAdiyczed2raie6f2AFStYs3r12ksXbOBLwb0QVW1+BF4ZeFavtUYX0Bj4ddRoJjC6mRCQiL6+TyhbzGQ6Cu0f7dO5kdVVRX76tV5/iKixBp1dXXfaCx4H+T31r5FItEv4KWXvtWoW5HQ0DCioqL50f1n2f63bXqXnr3YsnEdlRR8pS2KsnAt02OlZGdmFmh7NY0NSYuOU5gn+3Uad8fO5t6EOWiZGvI6IgarEQPISEomPVYqO+4t1wmoammiYahP2oto7H+eTmrIsxJrLAvtJIC+boU3baW81z0+6eVHaStfp6Vz+vJ1Rg/47IOP9U+ioio68SWlzMTEQ6433sfHBx8fH9q0aSNLb926NSdPnuTq1auyeHgnJycyMzNlA0oB4uLiCAoKwtHx/aPcjYyMOHfuHMHBwbi6usrF0eenb9++qKurKxyMun79elJSUooMx7G1tUVDQ4OrV/NGv0ulUrkQnLp165KVlUV0dDS2trZym9lHGESliOzsbFauXImNjY1sQYT8zJo1i8TERLlt1qxZH01DwlV/jNrLL1ls3LEFiTfvkfMmPlF61R+j9s3lbIw6tEB6xa/E59PQUMeuWhWu374nl37j9j2cHT5sqs1d3kfZtu8QS36cgYNt1Q86loaGBna2Vbnhf0cu/ab/HZwdFE/f6ORgx8189jf8bmNvW1U2devrtDRUVOSbBVVVVXLIKdbLprzGT/9a5mq04Yb/XXmN/vdwdvh3p6gt6+TWyWrc8veXS7/l708NB8XTdTo62Bewv+nnj52traxO5icnJ4fgp0+VGpCpoaFBdVtbbvnl0+jnj5OjYo1ODg4K7P2wq56r0dLSgg1rVrFu1QrZ1qRxI2rXqsm6VSswNlIcWvI+nZ/6tczJyCDJ7z5G7eTbZ6N2zUi4WnTbm5OZyevnUZCdjXm/7sQc9yngvc9OSyftRTQq6uqY9epE1NFzJdZYFtpJAA11dRyqWvH3nQC59L/vBFDzA6chBjhz5QYZmZl0bfnPLTokKB3KXCfe19cXf39/mScecjvxHh4evH79WtaJr169Oi4uLowaNQpfX19u377NF198QeXKlXFxcSnW+UxMTDh37hwPHz7k888/L3QqSCsrKxYtWsTy5cuZPXs2Dx8+JDg4mGXLlvHNN98wffr0IlfsqlChAiNGjGDGjBmcPXuWe/fu4ebmJvc2b2dnx+DBgxk6dCheXl48ffqU69evs3DhQo4VMqtCSYmLiyMyMpInT55w+PBhOnTowN9//83mzZsLeP/foqWlha6urtxWVDiNmo42urUd0K2d+yDStrFAt7YD5SxzPVX2v0yj9taFMvvQjbspb10Jx8UzqeBQFQu3vlgO78uTZVtkNiGrt2PUsTlVvx6Fjn1Vqn49CqP2TQlZtU2p6zDws64cOePDkTN/ERL+nJVbficqNo5enXO9Lut37OHnFevl8jx6Gsqjp6G8ep1GQlISj56G8jT8uWz/Tu8jeOzaz6wJozA3MSJOmkCcNIHUV6+V0gjQ36UHx06f5djpc4SGP2PNJk+iYmLp+WY+Y49tO5n/W96c0J916UhUdCxrNnsSGv6MY6fPcezMOQb0zvPONGvYgMPHT3HuwiUiIqO44XebLTt306xRg0LrQFGUhWs5wKUbR86c5+gZH0LCn7Nq8w6iY2NxeaNxw47dzFu+Vl7jkxAePQnh1evXuRqfhBASnucpzMjIlNlkZGYSGx/PoychPIuIVEpjWaFvLxeOnzrDiVNnCA0PZ53HZqJjYunRrTMAmz13sHDpcpl9j65diI6OYb3HFkLDwzlx6gwnTp+hf5+8NnrHrt1cv+lHRGQkj588YemK1QQ/eUqPrp2V09jbhROnTnPi1GnCwsJZt3ET0TExsnnfN3tuY9HS32T23bt1ISo6mvUemwkLC3+T9wz9+uSGWWpqamJTxVpuq6CjQ/ny5bGpYo2GhoZyOsvAtXy60hNLt35YDO2Djn1VHBfOpLylOaGbctfxsHefRi2PX2X2OrZVqDSwJ9rVrNFrUJM625ZS0ak6gXPyrrdew1qYunSkfBULJM3q0/CQByqqqjxZtkkpjWWhnQT4vHsHDp3z5fD5Szx9FsFv2/YSFRtPn46tAFizy5u5q7fK5QkKCScoJJzU169JSEomKCScJ89eFDj24fOXaNWgDnoVKxTY9ymhoqaq9PZfpcyE00BuJ/7Vq1c4ODhgamoqS2/dujUvX76kWrVqWFpaytK3bt3K5MmT6dGjB+np6bRq1Ypjx46VqFE1MzPj3LlztGnThsGDB7Nr1y6FN+nUqVOpVq0aS5YsYcWKFbLFntatW8fw4e+fGmvx4sUkJyfz2WefUbFiRaZPn05iovwn/q1bt/LLL78wffp0nj9/jqGhIU2bNqVbt27F/j1F0aFDByB3HmFra2vatm3Lxo0bsbW1/SjHB9Cr70zTsztk/zst+Q6A8O1e3BkxCy1zY8pb5n16fhXyjOs9R+O0dBbW4waT9iKa+1PnEemdNz2Y9IoffoOnYe8+BXv3SaQGh+M3aCoJf8t7U4pL+xZNSHyZjOfeg8RJE7CxsmDx919jZpLrUYuTJhAVI/+5ePi072V/BwY/5fSFK5gZG7F/Y+7Dyfv4WTIyM/l+0Ur5fK69GTFQuVjPdi2bk/Qyme179hMfL6WKtSW//vgdZibGb3RKiX5nrnNzM1MWzJnF2k3bOHT0JIYGEiaO+pLWzZrIbIa49kVFRYXNv/9BbHw8+rq6NG3UgJFfFP4lqSjKwrVs36IpSUnJbNvjJdO48Idv8q5jfEGNI6Z9J6fxzIXLmBkbsdcjV1NsvFTOZvfBo+w+eJQ6NRxZOe+HEmssK7Rp1YKkl0n8vnvPmzppxby5P2D6ZpasOGk80e/Mz21uZsovc39g/aYtHD56DENDA8aPHknL5nne3eSUFJavXotUKkVHR4dqVW1Y9us8HOyV+1LSplVLkpJesvOPPcTHx2Ntbc0v7j/KNMbHS/NpNGOe+xzWe2zizyNHMTA0YPyYUXIa/wnKwrWMOHAcDUN9bGd9lbvY04NHXO89htfhuR1JLTNjylu+E2KqporN5OFUqG5DdkYmcReucaXd57wKy3tJV9PSwu7HyWjbWJKVnEr0yb+4PfJbMhNfKqWxLLSTAB2bNSTxZQpbDhwlVppIVctK/DZzAubGuWPe4hISicq3FsaQb3+R/f3wSRgnL/2NubEhB1fPl6WHvYji9sPHrJw9WWlt/xYiJr7kqOQo8+1HIHgPRzUUf6r8VOieEUjMg79LW8Z7MXZqxItA5V5G/i0q2df65K+lsVMjogJKZ5rUkmDq+GnO35yfsEcB7zcqRayqOxL6WPEUgp8S1rb2ZeJaHtNWHMLzqdAt9eEn305CbluZ4O9T2jKKRL9Om1I797Wmyof7NL5y7f1G/4eUKU+8QCAQCAQCgeD/D+GJLzmiEy8QCAQCgUAgKFXEPPEl5787GkAgEAgEAoFAICijCE+8QCAQCAQCgaBUUSnh/PoC0YkXCAQCgUAgEJQyYrGnkiM68QKBQCAQCASCUkUMbC05ohMvEAgEAoFAIChVhCe+5IhOvEAgEAgEAoGgVBEx8SVHLPYkEAgEAoFAIChV7nRro3TeWsd8PpqOsoTwxAv+EcrCCp6f+qqykLuyrG/teqUto0ha3L7FzbbNS1tGkdQ/f+mDHhD/FmXlQfQs6F5pSygSCztnXp/2LG0Z76VcRzeCgsNKW0aR2FWzKhPteVlZoTcwOLy0ZRSJfTXLUju3CKcpOaITLxAIBAKBQCAoVcTA1pIjOvECgUAgEAgEglJFeOJLjujECwQCgUAgEAhKFTGwteSITrxAIBAIBAKBoFQRnviSI157PkGqVKnC8uXLS1uGQCAQCAQCgeATRXjii0BFpei3wmHDhuHp6Vlkfm9vb3r16vVxhQFJSUksXLiQAwcOEBISgr6+Ps7OzowfP57evXu/V/v78PHxoW3btkilUvT19T+O6Dd4HT/DHwePEidNpIplZSaP+ILaTopniomNT2C15y4Cg5/yLCKKft07MXnEF3I2h0+d54SPL0/CngFgX82GMYP742RXTSl9Bi0aUHX6CPTqOVOukgk3+o4n6vDZovO0bIjTkplUcKpO2otogpduImzjbjkbs96dsJs7Ge1qVqQGhxH4429EHTqjlEbZMQf0x8JtKJpGRqQGP+HJoiUk+fkVam/uOgDzga5oVTInLTKSZx6biT5yVLbftE9vTHr2QMc299olPwggZNVqku/dV1qjsUtvTF0HoWFoyKuQpzxbvZLku7cLtTfo0AnTgYMoV9mSrJRkEv++xrP1q8lKSpLZqOlUoNLI0UhatkatYkXSIiJ4tm41SdeuKKXRsLsLxn0Hom5gyOvQp7zYuJrU+3cLtddv0wHjfgPRqmRBVmoKL2/+TcSmdWS9zNWo26wlJq5foGVeGRV1NdKePyfGew8J504rpa8scejoCfZ6HSJOKqWKlSXjRw2nVg2nQu1v373Pus2ehISFY2QgwbVvL3p27Sxnk5ycwuYdu/C9cpWXySmYm5owdsQwGjeor5TGPRdu4nn2GrGJyVQzN+abvh2oZ6t4Vo5bweGsOHSep5FxvM7IxNxAl37N6zKkXSOZzRn/QDafvEx4rJSMrGysjSUMad+Ino1qKqXvLTk5OfyxcwcnTxwlOTkZO3sHxo6fiLV1lSLzXfK9yM4dnkRERGBubs6QYcNp2qyFbP+9u3fwOrCP4MdBxMfH8933c2naTLkZpj719hzg8JFj7PPyIj5eirWVFeNGj6Smc41C7e/cvcd6j82EhoVhaGDAgH596NGtq2z/qdNnWbJ8RYF8R7z3o6mpqbTO3PLezqkTx0hOfvmmvCdh9Z7yvux7Qa68vxj2ZYHy9j6wl+DHj4iPj+O7791pomR5/5MIT3zJEZ74IoiIiJBty5cvR1dXVy5txYqCN/G/QUJCAs2aNWP79u3MmjWLW7duceHCBVxdXfnmm29ITEwsFV3F4azvVVZu+Z2h/VzYsvRnajvZ8/XPi4mMiVVon5GZgb5uRYb2c8G2ipVCG7/7AXRo2ZRVP3/Hhl/nYGpkyDT3RcTExSulUU1Hm6Q7gdyf/FOx7MtXsaDhnxuJ972Jb8NePF64nhq/zcasdyeZjX6TOtTd9RvPdx7iYn0Xnu88RL0/lqPfqJZSGgGMOnei6jdfE+6xGT/XQSTe8qPG2lVomZkptDfr3w/rSRMIW7+BW336E7ZuPVW/m4lB61YyG70G9Yk5foK7I0dze4gbaZGROK9bi6aJsVIaJW3bY/HVZCJ+307AqOEk37mD7cIlaJiYKrTXca5FlZnfE3vsCPeHf0Hw3B/QcXDE+uuZMhsVdXWqL1mOlpk5wXO/5/7QzwldspCM2BilNOq1aov56AlE7/mdRxNHknL/LjY/LULD2EShvbZTTSynzyL+1DECx7kROn8u2tUdsJg8Q2aT9fIl0bt38Hj6eILGjyD+zHEsp86kQr2GSmksK5y/eIm1m7YyaEBfNqxYQs0ajsyaO4+oaMVlExEZxXfu86hZw5ENK5bwef++rN64hQuX8l7GMjIy+OYHd6Kio5kzcwbb1q9k2oRxGBkaKqXxxM0HLDpwhlGdm7Fn5pfUq2bB+LV7iIhX3G6W19RgYKv6bJn6Bd7fj2JU5+asPnKB/b55L8t62uUY2aUZ26cPZf+sEbg0qcWc349y6cETpTS+5cD+PRz0PsCYcRNYtnw1EokBP87+ltTU1ELzPAx4wKJff6Ftuw6sXLOetu06sHDBLwQ+DJDZvH79GhubqowZN+GD9JWF9tznwkXWe2xikOsA1q1cTk1nJ2bPcSe60DoZyew57tR0dmLdyuV87tqftRs8uHjpspydtrY2u3dsk9s+pAMP4LV/D4e8DzB63ASWLl9TovJu064DK9dsoE27Dixa8LNceae9Ke/RH1je/zQqqipKb/9VRCe+CMzMzGSbnp4eKioqcmm7du2iWrVqaGpqYm9vz44dO2R5q1SpAiDzir/9Pzg4GBcXF0xNTalQoQINGzbkzJmSeWO/++47QkJCuHbtGsOGDcPJyQk7OztGjRqFv78/FSpUAEAqlTJ06FAkEgna2tp07dqVR48eyY4TGhpKz549kUgk6OjoUKNGDY4dO0ZISAht27YFQCKRoKKigpubm/IX8h12Hz5Oj/at6dmxjcxrY2JoyMETij3d5ibGTBk5hK5tW6CjXV6hzZyp4+nTtQPVbayxtqjEt+NHkJ2TzY07D5TSGHPyAkFzlhN5sHheU+vRA3kdFsGD6fNJfviE8C37Cff0ouq0L2U2NhOHEXvmMsGLNpIS+ITgRRuJPXeVKhOHKaURoPKQwUR5HyTK+yCvnj7l6eIlpEVGYTagn0J7kx7didzvRezJU6Q9f07siVNEeR+i8vA8DUHffU/k3n2kBAbxKiSER+4/g6oK+o0aKTzm+zDt70rcsSPEHfuT12GhPFuzgvToaIw/663QvoJTDdIjI4nx2k96ZAQp9+4Q8+chdOwdZDaGXXugXlGXx9/PJOXeXdKjoki5d4dXwY+V0mjcuz/SU8eIP3mUtPAwIjauJiMmGsPuLgrttR2cSI+OJO6wFxlRkaQ+uEvc8cOUr57nfUy560/SFV/SwsNIj3xB3KEDvH4ajE6ND/PMfursP/gnXTu2o3vnDlhbWvDVqC8xMTLkz+MnFdr/eeIUJsZGfDXqS6wtLejeuQNdOrRjr/dhmc2JM+dISk7mp9nf4uzkgKmJCTVrOFLNpopSGnec+5veTWvTp1kdqpoZ8U2/jphJdNl7UfEXLEdLM7o2qIGtuTGVDfXp0ciZZo423Hpnvu+Gdta0r21PVTMjLI0lDG7bkOqVTPB7ovyc4Dk5ORw+6M2AgZ/TrHlLrKvYMHX6DNLS0vjL51yh+Q4d9KJO3fr0d/0cS0sr+rt+Tu06dTl8yEtm06BhI4YMG06z5i2V1gdloz0/4H2ILp060LVzJ6ysLBk3ehTGRkb8eeyYQvujx05gYmzMuNGjsLKypGvnTnTu2IH9Xt5ydioqKhgYSOS2DyG3vL0YMHCQrLynTP+GtLTXXCiivA8fPPCmvAdhYWlFf9dB1MpX3vUbNuKLYV9+cHn/06ioqiq9KcPatWuxsbGhXLly1K9fn4sXLxZq6+bmhoqKSoGtRo28Lzqenp4KbV6/fq2UvuIgOvFK4u3tzeTJk5k+fTr37t1jzJgxDB8+nPPnzwNw/fp1ALZu3UpERITs/+TkZLp168aZM2fw8/Ojc+fO9OzZk7Cw4i34kZ2dze7duxk8eDCVKlUqsL9ChQqoq+dGSbm5uXHjxg0OHz7MlStXyMnJoVu3bmRkZADw1VdfkZaWxoULF7h79y4LFy6kQoUKWFpacuDAAQACAwM/2leHjIxMgoJDaFhHviPTsI4z9x4+KiRXyUlLTyMzKwvdCjof7ZhFod+kDjFnLsmlxZy6iF59Z1TelIWkSR1iz/jK2cSevoikaV2lzqmirk4FR0cSrlyVS0+4cgXd2rUV5lHV1CQ7PU0uLTvtNRWd83TmR61cOVTU1cl4J5SlJBq17exJuiG/UEzSjb+p4OysME/y/btoGBuj27gpAOoSCZLWbUi8mueZ1W/WguQH97CaMp1aB/7EacsOzAYPBSUachV1dcrb2vPy1nV5HX7X0XZU/Lk9NeAeGkbGVGzQOFejvgS9Fq15ef2qQnuACrXroWVhScq9wsOIyjoZGRkEPQ6mQd06cun169bmfoDihXgePAykfl35+tqwXh2CHgeTmZkJwOVr13FysGfleg/6DvmSEV9NYefeA2RlZZVcY2YWAeGRNHW0kUtv6mjD7afPinWMgPBIbj95ToPqij3JOTk5XAsMISQ6nvrVFNsUh6jISKTSeOrWayBL09DQxLlmLR4GFN6hffjwAXXryYcZ1a3XgIAHynWCC6MstOcZGRk8evyYenXl29n69eryIOChwjwPHj6kfr2C9kGPHsvqJMCrV6/4wm0Eg4YO54e5P/E4OLjE+t4lKjICqTSeOu+UnYaGJjVq1iIgoPBwRkXlXa9eAx4+UD4EsrRQVVNReispe/bsYcqUKcyePRs/Pz9atmxJ165dC+2LrVixQi4SIzw8HAMDA/r37y9nlz9iIyIignLlyil1PYqDiIlXkiVLluDm5sb48eMBmDZtGlevXmXJkiW0bdsWY+Pc8AN9fX3M3glvqF27NrXf6WT98ssveHt7c/jwYSZMeP+nrtjYWKRSKQ4ODkXaPXr0iMOHD3Pp0iWaNWsGwM6dO7G0tOTgwYP079+fsLAw+vbtS82auY1w1apVZfkNDAwAMDEx+Wgx8YkvX5KVnY2Bvq5cuoG+HnEJHy8EaN32PRgbSGhQu/CYx4+JlqkRaVHyn4/To+NQ1dBA00hCWmQMWmZGpEXFydmkRcWhZaZcmIqGRB8VdXXS4+SPmR4Xj76R4jAD6eUrmPXuRdw5H1ICAqjg5IhpLxdUNTRQ19cnI7bgJ3DryZNIj44h4eq1EmtU19NHRU2dDKn8Z/BMqRQNiWKNKffv8XSeO1V//AlVTU1U1NVJuHSRsJXLZDZalSpR0awe8WdO8XjW12hVtsBq8nRU1NSI2L61RBrVdPVQUVMjM0Eql54hlVJRYqAwT2rAfcIXzcNq5hyZxsQrvjxfJ/+iq6qtg+OO/ahqaJCTnc3zNb+R7HezRPrKEolJL8nOzkairyeXLtHXJz4hQWGeeGkCknzti0Rfj6ysLBKTXmJoICEiMgq/O/do36YlC+bM5tmLCFau9yArK4uhnw8okUZpcipZ2TkYVpTvEBpW1CE2KaXIvB2/X52bPyubsd1a0KdZHbn9L1+9puPs1WRkZqGqqsJ3rp0LvCyUSOub+yZ/+6uvLyE6OqrQfAlSKfr68l5hfX0JUqm0kBzKURba86SkpDd1Ul8uXaKvh1SaoDCPVJqgsA7n1skkDA0MsLSszNdTJ2NTpQqpqal4H/6TqTO+Zf2qlVSuXNC5Vhzelo+isov5BMr73+DfDItZtmwZI0aMYOTIkQAsX76ckydPsm7dOhYsWFDAXk9PDz29vHpx8OBBpFIpw4cPl7N7G7HxbyE68UoSEBDA6NGj5dKaN2/+Xo91SkoK7u7uHDlyhBcvXpCZmcmrV6+K7YnPyckB3j/oNiAgAHV1dRo3bixLMzQ0xN7enoCA3Fi5SZMmMW7cOE6dOkWHDh3o27cvtWqVLEY7LS2NtDR5766WllaReVSQ156Tk/PBA3HfstP7CGd8r7Lq5+/Q+sD4xBLxplxkvP0976YrssmfVuLz5vu/iGOGb/RA08iQ2jtyP/mlx8cTffhPLIa7QXZBr2Zlt2EYd+3M3RGjyUlP/wCNivQo1ljOugqWE6cSsX0rSdevoWFoSOUxX2E9bQahi3/NNVJRIVMqJXTpIsjOJjUoEA0jI8xcB5W4E1+YRhUVlUKLRsvSmkpjJxL9xzZe3ryOuoEh5iPGYjFhGs9WLJbZZb9K5dGEkaiWL0+F2vWoNOqr3BChu/7KaSwr5L+Xc3Io6u7Of++/ve5vk7NzcpDo6THtq7GoqalhZ1uNuPh49nodKnEnXnbOfP/ntkFF59k65QtepaVzJ+QFKw6dx8pYQtcGeR1LHS0t9s76ktS0DK4FhrDU6ywWhvo0tLMuliaf82dZs2q57P8f3X/J1Vrg+ry/vSy4+/2/T1nKQnuusI4VXSnzJbx57r7J5OjggOM7jrQaTo6MnzSVg38e4auxoykOPufPsnbVb7L/f3Sfp1ArOTmKCrRIvTmKfsL/OYX1RRT1R9LT07l58yYzZ86US+/UqROXL18uYK+IzZs306FDB6yt5e/v5ORkrK2tycrKok6dOvz888/Uzfcl6GMiOvEfgDKN64wZMzh58iRLlizB1taW8uXL069fP9KL2UkyNjZGIpHIOuKFkVNID+RdjSNHjqRz584cPXqUU6dOsWDBApYuXcrEiROLpQVgwYIFuLu7y6XNmTOHrwZ0K2CrV7EiaqqqBbw00sQkDPR0C9iXlF0Hj7Jj/58sd/+20EFT/wRpUbEFPOqaxgZkZ2SQHpeQaxMZi5aZkZyNlolBAQ9+ccmQJpCTmYlmPq+7poGEjEIGgGWnpfFojjuPf56HhoEB6bGxmPXtQ2ZyMhn5vFKVhw7BcsSX3BszltRHyn0az0xMICcrEw0DeY3qEkkB7/xbzAYNIeXeHaL27ALg1ZNgsl69xmHVOp5v9iAzPo6M+DhyMjMhO1uW73VoKBqGRqioq+fuKyZZSYnkZGWhns/rrq6vT2aCYo0mroNJeXCPmAN7chNCnvD89Wtsl6wicvtmMt/+tpwc0iOe5+p78phyVtaYDBjE0//TTryebkVUVVULeDiliYkFPKFvMZDoE5/PY5iQmIiamhq6FSsCYCiRoK6uhpqamszGysKCeGkCGRkZaGhoFFujpII2aqoqxL6U97rHJ6cW8M7nx8Io9zdUr2xC3MsU1h3zlevEq6qqYGWcW48cLEx5GhnH5lNXit2Jb9S4KXbvjP14G/YolUoxeOceSkxMKOB5fRd9SUEvbEJC0XmUoSy057q6uqiqqiqsY4XVSYlEv2AdTnhTJ3UrKsyjqqqKvV11nr94UWxt+cs7U1be8XLlnVCM8k7I154mJhT0zpcFPmSxp8L6InPnzi1gGxsbS1ZWFqam8hMsmJqaEhkZ+d5zRUREcPz4cXbt2iWX7uDggKenJzVr1iQpKYkVK1bQvHlzbt++TfXq1Uv+o4qBiIlXEkdHR3x95WOcL1++jKOjo+x/DQ2NAnGbFy9exM3Njd69e1OzZk3MzMwICQkp9nlVVVVxdXVl586dvFDQYKSkpJCZmYmTkxOZmZlcu5YXBhEXF0dQUJCcRktLS8aOHYuXlxfTp0/Hw8MDQDbK/n1xp7NmzSIxMVFumzVrlkJbDQ117KpV4frte3LpN27fw9nhwyr4Lu+jbNt3iCU/zsDBtur7M3xEEq76Y9S+mVyacccWJN68J+tQSq/6Y9Refkovow4tkF4pfDrIosjJzCQ5IAD9Jo3l0vWbNCHpdtFx1zmZmaRHR0N2NsZdOhN/4aKcJ7rysKFYjh7J/fETSH5Q9Mvi+86TGhRIxQbyM7Lo1m9I8r17CvOolitX8AX0zVeCty+fyffuolXZQs7VVM7SkvTY2BJ14N9qfPU4kAp1G8ilV6jbgNRC4lBVtbQgJ1s+8e2XjPd5SDX+xa9D/zIaGhrY2Vbjpp98/bvpf4cajoqnHHRysOem/x25tBt+/tjZVpON7anh5MDziEiy33lpe/biBYYGkhJ14AE01NVwtDTj6sOnculXHz6lto1FsY+Tk5NDRmbRbWMO77d5F21tbSpVqizbrKyskUgM8L+VF4KVkZHBvbt3cHAsfMpOBwcn/POFbfnduomjU+F5lKEstOcaGhpUt7Xllp+/XPotP3+cHBWHpDo5OCiw98Ouuq2sTuYnJyeH4CdPMCzB4Nb85W0pK+9bMpuMjAzu372DYyHjc+Bted+SS/O7dRMHp38nnPRj8iGz05SkLyI7nxKOWMgdwKqvr19g+vAmTZrwxRdfULt2bVq2bMnevXuxs7Nj1apVJb4WxUV04pVkxowZeHp6sn79eh49esSyZcvw8vLi66+/ltlUqVKFs2fPEhkZKfOM2Nra4uXlhb+/P7dv32bQoEFyD6fiMH/+fCwtLWncuDHbt2/nwYMHPHr0iC1btlCnTh2Sk5OpXr06Li4ujBo1Cl9fX27fvs0XX3xB5cqVcXHJnXVjypQpnDx5kqdPn3Lr1i3OnTsn6+BbW1ujoqLCkSNHiImJITk5WaEWLS0tdHV15baiwmkGftaVI2d8OHLmL0LCn7Nyy+9ExcbRq3N7ANbv2MPPK9bL5Xn0NJRHT0N59TqNhKQkHj0N5Wn4c9n+nd5H8Ni1n1kTRmFuYkScNIE4aQKpr5QbEa6mo41ubQd0a+c28to2FujWdqCcpTkA9r9Mo/bWhTL70I27KW9dCcfFM6ngUBULt75YDu/Lk2VbZDYhq7dj1LE5Vb8ehY59Vap+PQqj9k0JWbVNKY0Az3fsxLRPb0x7uVDexgabr6ejZW5G5L7cQcnWkyZg90veNJnlrK0w7t6NclaWVHCugf3CBWjbViN01WqZTWW3YVhPGM+jOe68fvECDUNDNAwNUS2veCaJ9xG1bw9G3Xpi2LU75ayssRg/CU1TU2L/zJ3podLIsVSZ9b3MPvHyJSQtW2P0WS80zSuh41wTy4lTSQm4T0Zc7leLmEPeqOvqYTlhCloWlug2aYrZoKHEHDyglMYY730YdO6OpGNXtCytMB/1FRrGpsQdy50hxcxtFJbT8x4GSdeuoNesFQbdPkPTzBxtJ2cqjZ1EauADMuNzxygYDxhEhbr10TQzR8vCCqPe/ZG070zC+f/veeL79erJsdNnOX76LKHhz1jrsZXomFh6ds2dbnXTtt/5ddlKmX3PLp2Ijo5h7aathIY/4/jpsxw/fY4BvT+T2XzWtTNJL1+yxmML4c9fcPX6TXbt88KlWxelNA5p1wivy7fxvnKbJ5GxLD5whoj4JPq3zP3kveKQD7O3/ymz3/3XTXzuPiI0Op7Q6HgOXrnD9rN/071hXidp88nLXAl4yrNYKU8j49h+9m+OXLtH90bKd6RUVFT4rFdv9u39gyuXfQkNecryZYvR0tKidZt2MrtlSxaybetm2f+fufTG79ZN9u/bTXh4GPv37ea2/y0+c+kjs3n16hVPgh/z5M2MTlFRkTwJfkx0dHSJNJaF9rxvbxdOnDrNiVOnCQsLZ93GTUTHxMjmfd/suY1FS/PCWrp360JUdDTrPTYTFhb+Ju8Z+vXJm1Frx64/uHHzFhERkQQHP2HZipUEP3lK965dC5y/uOSWdx/2790lK+8VyxahpVWOVu+U929LfmXb1k2y/3u69MHv1g0O7NvNs/AwDhSrvCN4Evy4yFj70uBDOvEl6YsYGRmhpqZWwOseHR1dwDufn5ycHLZs2cKQIUPeO6WoqqoqDRs2lJsV8GMjwmmUpFevXqxYsYLFixczadIkbGxs2Lp1K23atJHZLF26lGnTpuHh4UHlypUJCQnht99+48svv6RZs2YYGRnx7bffklTCmT8kEglXr17l119/5ZdffiE0NBSJRELNmjVZvHixbPDF1q1bmTx5Mj169CA9PZ1WrVpx7NgxmfcqKyuLr776imfPnqGrq0uXLl347bfcxqxy5cq4u7szc+ZMhg8fztChQ4tc2Kq4tG/RhMSXyXjuPUicNAEbKwsWf/81Zia5oSZx0gSiYuQHaw6fltfJCwx+yukLVzAzNmL/xlyt3sfPkpGZyfeLVsrnc+3NiIF9KCl69Z1pejZvulCnJd8BEL7dizsjZqFlbkz5Nx16gFchz7jeczROS2dhPW4waS+iuT91HpHep2Q20it++A2ehr37FOzdJ5EaHI7foKkk/C3vhSwJsSdPoa6nh+XoUWgaG5H6OJj7X00iLSICAE0jI7k541VU1ag89AvKW1uTk5lJ4vUb3Bk6nLQXETIb8wH9UdXUxHHZErlzha3bQNj6DSXWKD1/FnVdXcyHDkfDwJBXIU94PPNr0qNyHx4ahoZovjNnfNzJY6hqa2PSux+W4yaSmZzMS7+bPN+4VmaTERPNoxlTsPhqMk6bt5ERE0u01z4i//i9xPoAEi+cR72iLqaDhqFuYMDrkKeEzPmWjDcPOHWJIRrGeRqlZ06gWr48Rj17U2nkeLJSkkm+7UfE1rzro1quPJXHT0XDyJjs9DTSwsMIWzKPxAvnldJYVmjbsjlJSS/ZsXsf8fFSqlhbsWDOd5ia5M65HxcvJfqdOcTNzUyZP2c2azdt5fDRExgaGDBh9Je0at5UZmNibMTCn35k3aatjJo4DSNDA/r07M7Avr2U0tilvhOJKa/YePwSMUnJ2Jobs2b8ACoZ5LabsUnJRMbntcnZOTmsPOzD87hE1FVVsTDSZ7JLG/o1z4tzfZWewfy9J4lKeImWhjo2pobMG9aTLvU/zPvdt58r6WnprFuzSrb4z0+//Iq2trbMJiYmWm5AoKNTDb6ZOZsd2z3ZuWMbZubmfDNzNvYOeV9gHz8K4ruZeQ6nzR65He12HToyddo3xdZXFtrzNq1akpT0kp1/7CE+Ph5ra2t+cf9RVifj46VEx+TNGW9uZsY89zms99jEn0eOYmBowPgxo2jZPO9ra3JyCstXrUEqlaKto4NttaosXbgAB3u7Eut7lz79XElLS2P9mpVvytsRd4Xlned/dXSqwYyZ3/P79q3s3OGJmXklZsz8Pl95BzJbYXl3YkoJyvuf5kPCaUqCpqYm9evX5/Tp0/Tunfdydvr0aZmTszD++usvHj9+zIgRI957npycHPz9/WWTh/wTqOQUFjwtEHwAMQ/+fr9RKWLs1IijGoo/8X9KdM8IxLd2vdKWUSQtbt/iZttPb/W/d6l//hJ3urUpbRnvpdYxn9KWUCyeBSkOh/pUsLBz5vVpz9KW8V7KdXQjKLh4kxqUFnbVrMpEex76WPE0pp8S1rb2BAYrv3bAv4F9NcUrF/8bhI/vq3Rey7Ul+xK7Z88ehgwZwvr162natCkbN27Ew8OD+/fvY21tzaxZs3j+/Dnbt2+XyzdkyBAePXrE1asFpxR2d3enSZMmVK9enaSkJFauXMmOHTu4dOkSjZRca+V9CE+8QCAQCAQCgeA/g6urK3Fxcfz0009ERETg7OzMsWPHZLPNREREFJg1MDExkQMHDhQ6C2FCQgKjR48mMjISPT096taty4ULF/6xDjyITrxAIBAIBAKBoJT5t8Jp3jJ+/HjZWj/5URQ+rKenR2pqaqHH++2332Qhyf8WohMvEAgEAoFAIChd/muT238ERCdeIBAIBAKBQFCq/Jsrtv6/IDrxAoFAIBAIBIJS5d8Op/l/QHTiBQKBQCAQCASlivDElxzx2iMQCAQCgUAgEJQxxDzxAoFAIBAIBIJSJXLGF0rnNVus3GJ/ZR0RTiP4R3gRqPxKpP8GlexrffKLKEHuQkqf+qJU3TMCeTZxQGnLKBKLVXs/eY2Qq7MsUCYWezq7/f2GpUy59kN5FBxa2jKKpHo1a54H3S1tGUVS2a7mJ//Mgdznzt3HUaUto0hq2pq+3+gfQoTTlBzRiRcIBAKBQCAQlCqiE19yRCdeIBAIBAKBQFC6iNlpSozoxAsEAoFAIBAIShUVsdhTiRGvPQKBQCAQCAQCQRlDeOIFAoFAIBAIBKWKWOyp5Igr9hHw9PREX1+/tGUIBAKBQCAQlElUVFWU3v6rCE884ObmRkJCAgcPHixtKcXm8ePHzJs3j9OnTxMTE0OlSpVo0qQJ06dPp0GDBh98/Llz53Lw4EH8/f0/XGw+Dh47yR6vQ8RJE6hiZcGEkcOpVcOxUHv/e/dZu3kbIWHPMDKQMLCPC5917SRns//QUQ6fOElUTCx6urq0btaEUUMHoampqZRGswH9sXAbiqaREanBT3iyaAlJfn6F2pu7DsB8oCtalcxJi4zkmcdmoo8cle037dMbk5490LGtBkDygwBCVq0m+d59pfQZtGhA1ekj0KvnTLlKJtzoO56ow2eLztOyIU5LZlLBqTppL6IJXrqJsI275X93707YzZ2MdjUrUoPDCPzxN6IOnVFK41t0WnaiYvvPUNPVJyPiGQlenqQHP1RoK/liPDqN2xRIz4gIJ2r+dADUzSzQ7e6KpqUN6oYmJBzwJNnn2P+9xrLCoaMn2Ot1iDiplCpWlowfNZxaNZwKtb999z7rNnsSEhaOkYEE17696Nm1s2z/tFk/clvBfdK4QT3mz5mtlMY9f93A88xVYhOTqWZuzDf9O1LP1kqh7a3H4aw4eI6nUXG8Ts/A3ECPfi3qMqR9Y5nNAV8//rx2l8cvYgBwsjJjoksbalaprJS+t+Tk5LBr5w5OnjhGcnIydvYOjBs/AWvrKkXmu+R7kd93bCMiIgJzc3OGDHOjWbMWcjZHjxzG68A+4uPjsbK2ZtTocTg71yyxxkNHT7DH67CsvL8a5fbe8s5tz9+WtwufvVPeAPsPHeHw8VNEx8Sip1uRVs2aMGrYYKXb87LwzIHc8t67aytnTvxJSvJLbO2dGDVuKpbWNkXmu3rJh907NhMZ8QIz80p8PnQUjZu1krOJi43h963r8bt5jfT0NCpVsmTc5G+pVv0TmsJYeOJLjLhinzAZGRkK02/cuEH9+vUJCgpiw4YNPHjwAG9vbxwcHJg+ffq/rLJknLt4iTWbtvLFgL54LF9ELSdHvnWfR1RMjEL7iMgoZrkvoJaTIx7LFzG4fx9WeWzhr8tXZTanfS6ycftOhg7sz7Y1y5kxcRznfS/jsX2XUhqNOnei6jdfE+6xGT/XQSTe8qPG2lVomZkptDfr3w/rSRMIW7+BW336E7ZuPVW/m4lB67xGVK9BfWKOn+DuyNHcHuJGWmQkzuvWomlirJRGNR1tku4Ecn/yT8WyL1/FgoZ/biTe9ya+DXvxeOF6avw2G7PeeQ8m/SZ1qLvrN57vPMTF+i4833mIen8sR79RLaU0ApSv1xT9Pm4knfQiauG3pAUHYDTuO9QkhgrtE/Zv5cV3o2RbxA9jyUp5ySu/vPJW0dQiKzaKxMO7yEqUKq2tLGksK5y/eIm1m7YyaEBfNqxYQs0ajsyaO4+o6MLv7+/c51GzhiMbVizh8/59Wb1xCxcuXZHZzP1uBvu2b5Jtm1f/hqqqKq2aN1VK44kbD1i0/zSjujRnz6yR1LO1ZPya3UTEJyq0L6+lwcDWDdgydQjeP45hVJfmrP7zL/b73pLZ3HgUStcGTmyaMpgdM4ZhZqDLuFV/EJWQpJTGtxzYv5eD3l6MHTeBZctXIZFI+GH2TFJTUwvNExDwgIW/zqNtu/asWrOOtu3as3DBPAIfBshsLvzlg8fG9QxwHcTKVeuoUaMmc3+cTXR0dIn0nb94iTWbPBk8oA8bVyymZg1HZs6dX2R5z3KfT80ajmxcsZhB/fuweuNWLlzKu3fO+FzAY9tOhg3sj+fa5Xw9cRw+vpfx2LazRNreUhaeOW85uH8XR7z3MmLsFH79bSP6EgN++n4ar4oo78CAeyz71Z1W7TqzdPUWWrXrzLJf5xD08IHMJvnlS76f8RXq6urMdl/E8nXbGTryK3QqVPggvR8b4YkvOaITXwyWLVtGzZo10dHRwdLSkvHjx5OcnFzA7uDBg9jZ2VGuXDk6duxIeHi43P5169ZRrVo1NDU1sbe3Z8eOHXL7VVRUWL9+PS4uLujo6PDLL78UOEdOTg5ubm5Ur16dixcv0r17d6pVq0adOnWYM2cOhw4dktnevXuXdu3aUb58eQwNDRk9erScbh8fHxo1aoSOjg76+vo0b96c0NBQPD09cXd35/bt26ioqKCiooKnp+cHXsVc9h06QrcO7ejeqT3WlhZMGDUcEyMjDh87pdD+8InTmBgbMWHUcKwtLejeqT1dO7Rjr/dhmc2Dh4E4O9rToXVLzExNaFi3Nu1aNifwcbBSGisPGUyU90GivA/y6ulTni5eQlpkFGYD+im0N+nRncj9XsSePEXa8+fEnjhFlPchKg8fJrMJ+u57IvfuIyUwiFchITxy/xlUVdBv1EgpjTEnLxA0ZzmRB08Xy9569EBeh0XwYPp8kh8+IXzLfsI9vag67UuZjc3EYcSeuUzwoo2kBD4heNFGYs9dpcrEYUUcuWgqtu1BypVzpF45R2bUcxK9tpEljUWnRSeF9jmvX5H9MlG2aVhVQ7W8DilXz8tsMsKCSTz0O69uXSYnU/GL7v+bxrLC/oN/0rVjO7p37oC1pQVfjfoSEyND/jx+UqH9nydOYWJsxFejvsy9vzt3oEu++1u3YkUMJBLZdtP/DuW0tGjdoplSGnecu0bvZnXo07wuVc2N+KZ/J8z0ddl74ZZCe0dLM7o2rIFtJWMqG+rTo3FNmjlW5dbjvPZ9wfBeuLZugIOlGTZmRswZ3J3snBz+fhiilEbIbesPHfTGdeDnNGvegipVbJg2fQZpaWn85XOu0HyHD3pTt249Brh+jqWlFQNcP6d2nbocOuQtsznofYCOnbrQuUtXLK2sGD1mHEbGxhw7+meJNO7LV9657bkhh48rbs/flresPe/cga4d2sqV9/2HQTg72tO+zZv2vF4d2rVqQZCS7XlZeOZAbnkfPbSPPq5DaNK8NVZVqjJx2nekpaVx8a/C2/mjh/ZRq24D+gz4gsqW1vQZ8AU1a9fn6KF9MpuD+3diaGzCV1NnUd3eCRNTc2rVqY+Z+Yd9KRKUPqITXwxUVVVZuXIl9+7dY9u2bZw7d45vvvlGziY1NZV58+axbds2Ll26RFJSEgMHDpTt9/b2ZvLkyUyfPp179+4xZswYhg8fzvnz5+WOM2fOHFxcXLh79y5ffvkl+fH39+f+/ftMnz4dVQWfnt7G5qemptKlSxckEgnXr19n3759nDlzhgkTJgCQmZlJr169aN26NXfu3OHKlSuMHj0aFRUVXF1dmT59OjVq1CAiIoKIiAhcXV0/9DKSkZFB0OMnNKhbWy69Qd1a3HsYqDDPg4dBNKgr7wluWLc2gY+fkJmZCUBNJ0eCgp8QEPQIgBeRUVy76UeTBiVfkVVFXZ0Kjo4kXLkql55w5Qq6tWsrzKOqqUl2eppcWnbaayo6O6OirjhiTa1cOVTU1clI+jBPXXHRb1KHmDOX5NJiTl1Er36eRkmTOsSe8ZWziT19EUnTusqdVE0NDcuqvH54Wy759cM7aNkU7xOuTpN2pAXeJUsaq5yG91EWNJYRcu/vYBrUrSOXXr9ube4HFHZ/B1I/X3vQsF4dgh4Hy+7v/Bw/fZa2rZpTvly5kmvMzCIgLIKmjvLhCU0dq3L7ybNiHSMgPJLbT5/RoLri8BuA1+kZZGZlo6tTvsQa3xIVGYlUGk/devVlaRoamjjXrEVAwINC8z18+EAuD0C9evUJeJCbJyMjg8ePH1G3nnz7WLdufR4Wcdz8FN6eF17e9x8GFbSvV4fAd8q7ppNDwfb8xi0aN6hf4HjKa/x0njlviY6MIEEaT+16DWVpGhqaODnXJjCg8BWSgx7ep3bdhnJptes1kstz49olqtnas2T+j3w56DO+njiC0ydK9sL2b6Cioqr09l9FxMQXgylTpsj+trGx4eeff2bcuHGsXbtWlp6RkcHq1atp3Dg3TnLbtm04Ojry999/06hRI5YsWYKbmxvjx48HYNq0aVy9epUlS5bQtm1b2XEGDRqksPP+lkePchsNBweHIjXv3LmTV69esX37dnR0dABYvXo1PXv2ZOHChWhoaJCYmEiPHj2oVi03TtvRMS9GsEKFCqirq2NWSAjJW9LS0khLk+/AamlpKbRNTHpJdnY2knyDgCV6+kgTEhTmiU9IQKKXz15fn6ysLBKTXmJoIKFdq+YkJCUxaeYP5ORAVlYWn3XtxKB+vYvUrggNiT4q6uqkx8XJpafHxaNvpDi8Qnr5Cma9exF3zoeUgAAqODli2ssFVQ0N1PX1yYgt2LmznjyJ9OgYEq5eK7FGZdAyNSItSl5HenQcqhoaaBpJSIuMQcvMiLQo+d+dFhWHlplyIT+qOrqoqKmR/VI+TCH7ZSKquvrvz6+rTzmnOsRvW6nU+YtDWdBYVsi7v/Xk0iX6+sQXdn9LEwq2B/p6cvf3uzwMesTT0DC+njReKY3S5FSysnMwrCgfRmCoq0NsUsGvq+/S8buVufmzshnbvSV9mhf+crvi4HlM9CvSxKHoWOYitUrjAdDXl78G+vr6RYa9SKVSBXkkSKW5YV1JSUlvykneRiKRcEta/NCvwstbr9DylkoTFNrLt+ctSEhMYvK3P5CTk/OmPe/MoP4lb8/LwjPnLVJpbturr28gl66vb0BMTGSh+RKk8ehL8pW3RELCm/oDEBUZwaljh+jRewB9XL/gcVAAWzesQENDgzbtuyit+aPzHw6LURbRiS8G58+fZ/78+Tx48ICkpCQyMzN5/fo1KSkpsg6yurq63IBSBwcH9PX1CQgIoFGjRgQEBDB69Gi54zZv3pwVK1bIpb1vUGpOTg7w/kURAgICqF27tkzf2/NlZ2cTGBhIq1atcHNzo3PnznTs2JEOHTowYMAAzM3N339B3mHBggW4u7vLpc2ZM4fRn/cpNE9B6TlA4b8n/2/Nuwa5//vfvc/vew8wZewoHO1seR4RyWqPrWyXSBg6UHEIzHvJUSA6J39iLuEbPdA0MqT2Dk9UVFRIj48n+vCfWAx3g+ysAvaV3YZh3LUzd0eMJic9XTl9ypBf/9sL+G66IptCfrfS581NfG82ncZtyH6Vwqs7f3/Y+YtDWdBYVsh/g+fkFHF3K7q/FR8G4Nips9hYW+FgV/0jS8x5b5u6ddpQXqWlc+fpc1YcOo+VsQFdG9YoaHfqCsdv3GfzlC/Q0ij+I/b8+bOsWZX3PJjj/kshWt/f/he4puQUvJ4K2lVl1tpRVH4lKW/ylbf/3Xvs3OvF5LEjcbSvzvOISNZs3MqO3foMGdi/5AL5NJ85F86fYuPqpbL/Z81dqFBrDjmoFHlFKbA/f33Oycmmqq09g4fl9kGqVrMjPDSEU8cOfVKdeDHFZMkRnfj3EBoaSrdu3Rg7diw///wzBgYG+Pr6MmLEiAIDTxU1rO+mKWoY8qe92+lWhJ2dHZDbSa9Tp06hdkU9lN6mb926lUmTJnHixAn27NnD999/z+nTp2nSpEmRGt5l1qxZTJs2TS5NS0uLuJCCnyr1dCuiqqpKvDRBLl2amFjAO/MWA3194hPkvUMJiYmoqamhW7EiAFt27qZT21Z079QegKpVrHn9Oo2lazbwxYA+CsOOCiNDmkBOZiaa+bzumgYSMuLiFebJTkvj0Rx3Hv88Dw0DA9JjYzHr24fM5GQy8v3WykOHYDniS+6NGUvqm68q/wZpUbEFPOqaxgZkZ2SQHperMS0yFi0zIzkbLRODAh784pKdkkROVlYBj7ZqRT2ykxQPInwX7SZtSb1+EbIKvgh9LMqCxrLC2/tbqvD+1leYx0CiT7y06Pv7La9fp+Fz8RLDBisf2iepoI2aqkoBr3v8y1QMKxbd9loY6QNQvbIJcS9TWHf0QoFO/LbTV9l88hIbJg3CzsK0RNoaN26KvX3eF9a3zxepVIqBQV57lJiYUOSUxhKJRObFl+VJSJB553V1dd+Uk7xNwjs2xaGw9jyhiPKWSPQVtv/vlvfW33fTsW0runfuAOS158tWr2fwgL4las8/5WdOw8YtqG6fN4tPpqy845EY5LXDiQlS9CSFl4u+xEBheeu9U5b6EkMsrarI2VhYWnPt8l/v1flv8l8eoKos4rXnPdy4cYPMzEyWLl1KkyZNsLOz48WLFwXsMjMzuXHjhuz/wMBAEhISZGEvjo6O+PrKxxtfvnxZLoSlONSpUwcnJyeWLl1KdnZ2gf0Jbz4ROjk54e/vT0pKimzfpUuXUFVVlb0IANStW5dZs2Zx+fJlnJ2d2bUrd3S9pqYmWcXomGhpaaGrqyu3FRZOo6GhgZ1tVW7435FLv+l/B2cHxfHHTg523Mxnf8PvNva2VVF/E8v9Oi2tQEycqqoqOeTIPCjFJSczk+SAAPSbNJZL12/ShKTbtwvJlZc3PToasrMx7tKZ+AsX5Ty8lYcNxXL0SO6Pn0Dyg4AijvTxSbjqj1F7+YGAxh1bkHjzHjlv4jylV/0xat9czsaoQwukVwqfWrNIsrLICH9COQf5+NJy9rVIe6o4HvUtWrZOaJiYk3Kl8AF8H4WyoLGMkHt/V+Omn/x9ctP/DjUcC7u/7RXc3/7Y2VaT3d9v8fG9RHpGBh3atFZeo7oajlbmXA14Kpd+9eFTale1KPZxcnJyyMiUbx89T19h43Ff1k74nBrWlUqsTVtbm0qVKss2KytrJBID/G7lDbjNyMjg3t07ODoWPoWjg4MTfn7yg3T9bt3E0Sk3j4aGBra21fHPZ+PvdwuHIo6bn7ft+U2/gu15YeVdo9D2vNo77Xk6qvk6c7ntOSVuzz/lZ055bW3MK1nINgurKuhLDLjjl9ePyMjI4MG929g7Ohd6HDuHGtzxvy6XdtvvulweB6eaPH8uP9HGi+fhGBmX7EXzH0dFVfntP8p/95fnIzExEX9/f7ktLCyMatWqkZmZyapVq3jy5Ak7duxg/fr1BfJraGgwceJErl27xq1btxg+fDhNmjSh0ZvZR2bMmIGnpyfr16/n0aNHLFu2DC8vL77++usS6VRRUWHr1q0EBQXRqlUrjh07xpMnT7hz5w7z5s3DxcUFgMGDB1OuXDmGDRvGvXv3OH/+PBMnTmTIkCGYmpry9OlTZs2axZUrVwgNDeXUqVMEBQXJXiqqVKnC06dP8ff3JzY2tkDcu7L0d+nBsdNnOXb6HKHhz1izyZOomFh6vpmD12PbTub/tkpm/1mXjkRFx7Jmsyeh4c84dvocx86cY0Dvz2Q2zRo24PDxU5y7cImIyChu+N1my87dNGvUADU1tRJrfL5jJ6Z9emPay4XyNjbYfD0dLXMzIvcdAMB60gTsfsmb2rGctRXG3btRzsqSCs41sF+4AG3baoSuWi2zqew2DOsJ43k0x53XL16gYWiIhqEhquWVG/impqONbm0HdGvnviRq21igW9uBcpa54VD2v0yj9taFMvvQjbspb10Jx8UzqeBQFQu3vlgO78uTZVtkNiGrt2PUsTlVvx6Fjn1Vqn49CqP2TQlZtU0pjQAvzx9Bp2l7tJu0Rd20Mnp9hqFmYESKb+5sC7o9P0cy5KsC+bSbtiPtaRCZEeEF9qGmhkZlazQqW6Oiro6angEala1RM1LugVQWNJYV+vXqybHTZzl++iyh4c9Y67GV6Hfu703bfufXZXnjB3p26UR0dAxrN20lNPwZx0+f5fhp+fv7LcdPn6N5k0bo6VYssK8kDGnXGK/L/nhf9udJRCyL958mQppI/5a5gxJXHDzPbM+8mUh2/3UDnztBhEbHExodz8Ert9l+5hrdG+V1kraeusLqP//CfUgPKhnoEZuYTGxiMqmvlQ+XU1FRwaVXb/bt/YPLl30JCXnK8mVL0NLSonWbdjK7pUsW4bl1s+z/z1x64XfrJvv37SE8PIz9+/bg7++Hi0tevHav3n05dfIEp06dIDwsDI+N64iJiaZbtx4l0tg/X3mv8dhaoD1fkK+8o6JjWLvJs9DybtqoPoePneLcBV9Ze771A9rzsvDMgdzy7u7SH6+9v3Pt8gXCQp6w5rcFaGlp0bJ1R5ndyqXz2Om5QfZ/t8/6cfvWDbz37eR5eCje+3Zy1/8G3V3yQo969OrPo4f3ObBnBxEvnnHR5zRnTvxJlx7Kx/ALPg1EOM0bfHx8qFtXfqDSsGHD8PT0ZNmyZSxcuJBZs2bRqlUrFixYwNChQ+VstbW1+fbbbxk0aBDPnj2jRYsWbNmS10Hq1asXK1asYPHixUyaNAkbGxu2bt1KmzZtSqy1UaNG3Lhxg3nz5jFq1ChiY2MxNzenWbNmLF++XKbn5MmTTJ48mYYNG6KtrU3fvn1ZtmyZbP/Dhw/Ztm0bcXFxmJubM2HCBMaMGQNA37598fLyom3btiQkJLB161bc3NxKrDU/7Vo2J+llMtv37Cc+XkoVa0t+/fE7zN7Mlx4nlRIdkxe+YW5myoI5s1i7aRuHjp7E0EDCxFFf0rpZXsjPENe+qKiosPn3P4iNj0dfV5emjRow8ovPldIYe/IU6np6WI4ehaaxEamPg7n/1STSIiIA0DQykpszXkVVjcpDv6C8tTU5mZkkXr/BnaHDSXsRkfc7BvRHVVMTx2VL5M4Vtm4DYes3UFL06jvT9GzeFKVOS74DIHy7F3dGzELL3JjylnnjG16FPON6z9E4LZ2F9bjBpL2I5v7UeUR6502zJr3ih9/gadi7T8HefRKpweH4DZpKwt/yXqmS8OrWFRJ0KqLbpS9quhIyIsKJXbdANpOLmp4EdYl8CI9KufKUr9OYxAOeCo+ppmeA6czFsv8rdviMih0+I+3RfWJWuivMU9Y1lhXatmxOUtJLduze9+b+tmLBnO8wNTEBIC6+4P09f85s1m7ayuGjJzA0MGDC6C8LzAEf/vwF9x4EsPCnHz9YY5cGTiSmpLLxmC8xScnYmhuzZvxAKhnmhlfEJiUTKc0LpcrOzmHlIR+exyWgrqqKhbE+k3u1pV+LvJlI9l64SUZmFtM9Dsida2y3lozrIb/oTkno228AaWlprFuzmuTkl9jbO/DTLwvQ1taW2cTERMt5rh2davDNzO/4fbsnv+/Yhpm5Od/OnI29Q95X31at2/DyZRK7d+0kPj4e6yrWzHX/BRPTkr1kvi3v7bv3y5X32/Y8XkF5L5jzHWs2eXJIVt7DadX83fa8HyoqKmz5fTexcW/b8/qMGDKoxNcPysYz5y29+g0iPT0Nj7XLSElOprq9Iz/8vJTy75R3bEwUqu+Eyjo41WTqt3P4Y8cm9vy+GVOzSkz9di52DnlfVWztHJnx/Tx2eW5g/x/bMDE1w230RFq1VTyNbmkhwmlKjkpOSb9PCQTF4EWg8h2/f4NK9rXwra38dGD/Fi1u3+Koxie0op4CumcE8mzigNKWUSQWq/Z+8hohV2dZ4FlQ4VPefQpY2Dnz+uz20pbxXsq1H8qj4NDSllEk1atZ8zzobmnLKJLKdjU/+WcO5D537j6OKm0ZRVLTtvS+FiYtn/Z+o0LQnbLsIyopOwhPvEAgEAgEAoGgVHnfrEuCgohOvEAgEAgEAoGgdBFTTJYY0YkXCAQCgUAgEJQqIia+5IjXHoFAIBAIBAKBoIwhOvECgUAgEAgEgtLlX54nfu3atdjY2FCuXDnq16/PxYsXC7X18fFBRUWlwPbw4UM5uwMHDuDk5ISWlhZOTk54e3srpa24iE68QCAQCAQCgaB0UVVRfishe/bsYcqUKcyePRs/Pz9atmxJ165dCQsLKzJfYGAgERERsq169eqyfVeuXMHV1ZUhQ4Zw+/ZthgwZwoABA7h27VqJ9RUX0YkXCAQCgUAgEJQqKiqqSm8lZdmyZYwYMYKRI0fi6OjI8uXLsbS0ZN26dUXmMzExwczMTLa9u7jX8uXL6dixI7NmzcLBwYFZs2bRvn172fo9/wRiYKvgH6GSfa33G5UyLW7fer/RJ0D3jMDSlvBeysL85mVBY1nBwq7wZeA/Fcq1H/p+o0+A6tWsS1vCe6lsV7O0JbyXsvDMgdKdh/2T5wMGtqalpRVYWV5LSwstLa0Ctunp6dy8eZOZM2fKpXfq1InLly8XeZ66devy+vVrnJyc+P7772nbtq1s35UrV5g6daqcfefOnUUnXlD2iHnwd2lLKBJjp0bcbNu8tGW8l/rnL33yixRZrNpbJhakStkwu7RlvBedMfNKW0KxCH38ab9YWtvak3LZq7RlvBedZn0ICi76831pY1fNqky05yGPg0pbxnupYmtXJsq7tFD5gCkmFyxYgLu7/GrYc+bMYe7cuQVsY2NjycrKwjTfCsWmpqZERkYqPL65uTkbN26kfv36pKWlsWPHDtq3b4+Pjw+tWuWuyhwZGVmiY34MRCdeIBAIBAKBQFBmmTVrFtOmya/4qsgL/y75F5fKyckpdMEpe3t77O3znFVNmzYlPDycJUuWyDrxJT3mx0B04gUCgUAgEAgEpcsHdHYLC51RhJGREWpqagU85NHR0QU86UXRpEkTfv/9d9n/ZmZmH3zMkiIGtgoEAoFAIBAIShdVVeW3EqCpqUn9+vU5ffq0XPrp06dp1qxZsY/j5+eHubm57P+mTZsWOOapU6dKdMySIjzxAoFAIBAIBILS5R8MO8nPtGnTGDJkCA0aNKBp06Zs3LiRsLAwxo4dC+SG5zx//pzt27cDuTPPVKlShRo1apCens7vv//OgQMHOHDggOyYkydPplWrVixcuBAXFxcOHTrEmTNn8PX1/cd+h/DE/8N4enqir69fojxVqlT5R0czCwQCgUAgEHxKqKiqKr2VFFdXV5YvX85PP/1EnTp1uHDhAseOHcPaOne2qIiICLk549PT0/n666+pVasWLVu2xNfXl6NHj9KnTx+ZTbNmzdi9ezdbt26lVq1aeHp6smfPHho3bvzhF6cQyrwn3s3NjW3btjFmzBjWr18vt2/8+PGsW7eOYcOG4enpWazjhYSEYGNjg5+fH3Xq1Plgfa6urnTr1u2Dj5OfpKQkFi5cyIEDBwgJCUFfXx9nZ2fGjx9P7969P3gghY+PD23btkUqlZb4JeR9eB0/wx8HjxInTaSKZWUmj/iC2k6KZzeJjU9gtecuAoOf8iwiin7dOzF5xBdyNodPneeEjy9Pwp4BYF/NhjGD++NkV01pjcYuvTF1HYSGoSGvQp7ybPVKku/eLtTeoEMnTAcOolxlS7JSkkn8+xrP1q8mKylJZqOmU4FKI0cjadkatYoVSYuI4Nm61SRdu6K0Tp2WnajY/jPUdPXJiHhGgpcn6cEPFdpKvhiPTuM2BdIzIsKJmj8dAHUzC3S7u6JpaYO6oQkJBzxJ9jmmtD6DFg2oOn0EevWcKVfJhBt9xxN1+GzReVo2xGnJTCo4VSftRTTBSzcRtnG3nI1Z707YzZ2MdjUrUoPDCPzxN6IOnVFa517/YLbfCCQ25TVVDXX5uk1t6lkYK7S9ER7N6H0XCqQfcOuEjYEuAMGxiay7/ICAaCkRSalMb1ObwfWqF8jz/8jhI8fY5+VFfLwUaysrxo0eSU3nGoXa37l7j/UemwkNC8PQwIAB/frQo1tXhbbn/7rAgkVLaNqkMe4/KD/b0N5zV9h+/CKxCS+pWtmErwf1oJ6djULbszfusf/8NQLDIsjIzKRqZRPGuHSgWU07ObuXqa9YfeAU52/eJynlFZWMJUxz7UaL2g5K68zJyeGPnTs4eeIoycnJ2Nk7MHb8RKytqxSZ75LvRXbu8CQiIgJzc3OGDBtO02YtZPvv3b2D14F9BD8OIj4+nu++n0vTZsrN1lUW2vM/jxyVq5NjR496T528y4Z36mT/fn0LrZM+f11gwaLFNG3SmLk/fK+0Rigb5f2PouTKq8oyfvx4xo8fr3Bf/j7jN998wzfffPPeY/br149+/fp9DHnF4v/CE29pacnu3bt59eqVLO3169f88ccfWFmV3nRJGRkZlC9fHhMTk4963ISEBJo1a8b27duZNWsWt27d4sKFC7i6uvLNN9+QmJj4Uc/3MTnre5WVW35naD8Xtiz9mdpO9nz982IiY2IV2mdkZqCvW5Gh/VywraK4LP3uB9ChZVNW/fwdG36dg6mRIdPcFxETF6+URknb9lh8NZmI37cTMGo4yXfuYLtwCRomigen6DjXosrM74k9doT7w78geO4P6Dg4Yv113hy0KurqVF+yHC0zc4Lnfs/9oZ8TumQhGbExSmkEKF+vKfp93Eg66UXUwm9JCw7AaNx3qEkMFdon7N/Ki+9GybaIH8aSlfKSV35X83RqapEVG0Xi4V1kJUqV1vYWNR1tku4Ecn/yT8X7TVUsaPjnRuJ9b+LbsBePF66nxm+zMevdSWaj36QOdXf9xvOdh7hY34XnOw9R74/l6DdSbp7ok4HhLPHxZ0RjR3Z90YG6lY2Y6O1LRFJqkfm8h3fm1Jgess1Kv6Js3+vMLCrr6TCpRU2MdMoppass4nPhIus9NjHIdQDrVi6nprMTs+e4Ex2tuJ5HREYye447NZ2dWLdyOZ+79mftBg8uXio4V3NUdDQem7fiXMPpgzSevHaHJbuOMqJHW3a5T6SuXRUmLvMkIi5Bof2toKc0rmHLqqnD2DlnAg0cqjFlxXYehr6Q2WRkZjJu8WYiYqUs+moQXgum8YNbH0wkeh+k9cD+PRz0PsCYcRNYtnw1EokBP87+ltTUwuvmw4AHLPr1F9q268DKNetp264DCxf8QuDDAJnN69evsbGpyphxEz5IX1loz9/Wyc9dB7B25QqcnWvw/Zy5REdHK7SPjIzk+znuODvXYO3KFQx07c+6DRu5eOlSAdvcOrkF5xqFvxCUhE+9vAWfHv8Xnfh69ephZWWFl1fevMBeXl5YWlpSt25dOdsTJ07QokUL9PX1MTQ0pEePHgQHB8v229jkemPq1q2LiooKbdq0ke3bunUrjo6OlCtXDgcHB9auXSvbFxISgoqKCnv37qVNmzaUK1eO33//vUA4TXBwMC4uLpiamlKhQgUaNmzImTMl8yB+9913hISEcO3aNYYNG4aTkxN2dnaMGjUKf39/KlSoAIBUKmXo0KFIJBK0tbXp2rUrjx49kh0nNDSUnj17IpFI0NHRoUaNGhw7doyQkBDZAgYSiQQVFRXc3NxKpLEwdh8+To/2renZsY3Ma2NiaMjBE4q9s+YmxkwZOYSubVugo11eoc2cqePp07UD1W2ssbaoxLfjR5Cdk82NOw+U0mja35W4Y0eIO/Ynr8NCebZmBenR0Rh/1luhfQWnGqRHRhLjtZ/0yAhS7t0h5s9D6NjneeAMu/ZAvaIuj7+fScq9u6RHRZFy7w6vgh8rpRGgYtsepFw5R+qVc2RGPSfRaxtZ0lh0WnRSaJ/z+hXZLxNlm4ZVNVTL65By9bzMJiMsmMRDv/Pq1mVyMjOU1vaWmJMXCJqznMiDp99vDFiPHsjrsAgeTJ9P8sMnhG/ZT7inF1WnfSmzsZk4jNgzlwletJGUwCcEL9pI7LmrVJk4TCmNO28G0cvZht41bahqqMuMtnUwrajN/tvBReYzKK+FkU452ab2zkIlNcwMmNq6Fp0dLNFQ+79oZovFAe9DdOnUga6dO2FlZcm40aMwNjLiz2OKv+YcPXYCE2Njxo0ehZWVJV07d6Jzxw7s9/KWs8vKyuLXxUsZMvhzzM3MPkjjzlMX6dWqAb1bN6RqJRNmDOqJqYEe+89dVWg/Y1BP3Lq1pkZVS6zMjJjYrzNWpoZc8M/rJB26eJOklFcsnTiEOtWrUMlIQl27KthZmSs8ZnHIycnh8EFvBgz8nGbNW2JdxYap02eQlpbGXz7nCs136KAXderWp7/r51haWtHf9XNq16nL4UN5z8cGDRsxZNhwmjVvqbQ+KBvtuZf3QTp36kjXzp3l6uSRY8cV2h8pUCc706ljBw4oqJMLFy9hyOBBmJt9+OwjZaG8/3FUVZTf/qP83zxdhg8fztatW2X/b9myhS+//LKAXUpKCtOmTeP69eucPXsWVVVVevfuTXZ2NgB//527qMWZM2eIiIiQvRh4eHgwe/Zs5s2bR0BAAPPnz+eHH35g27Ztcsf/9ttvmTRpEgEBAXTu3LnA+ZOTk+nWrRtnzpzBz8+Pzp0707NnT7nYq6LIzs5m9+7dDB48mEqVKhXYX6FCBdTVc6Ok3NzcuHHjBocPH+bKlSvk5OTQrVs3MjJyO2dfffUVaWlpXLhwgbt377Jw4UIqVKiApaWlbLBGYGAgERERrFixolj6iiIjI5Og4BAa1pFf/a9hHWfuPXxUSK6Sk5aeRmZWFroVdEqcV0VdHW07e5JuyC9uknTjbyo4K16lMvn+XTSMjdFt3BQAdYkESes2JF7NC5PRb9aC5Af3sJoynVoH/sRpyw7MBg8t8ah6GWpqaFhW5fVD+RCf1w/voGVTvIWXdJq0Iy3wLllSxV6z0kC/SR1izsh7vGJOXUSvvjMqb+q1pEkdYs/IDxSKPX0RSVP5F/bikJGVTUBUAk2s5R/CTa1Nuf0irsi8n/9+hk4bjjBm319cD1Ps1fsvkZGRwaPHj6mXz3FSv15dHgQoDvF68PAh9esVtA969JjMzExZ2s4/9qCnp0fXzopfUIutMTOTgJAXNKkhH9rUtEZ1bhdzEZ7s7GxSX6ehq5PXCf3L7wE1q1nx6++H6DB5Hv2/X87mI+fJevNcUYaoyEik0njq1msgS9PQ0MS5Zi0eBhTeoX348AF169WXS6tbrwEBD5TrBBdGWWjP39bJ+grrZIDCPAEK6mSDevUU1Mnd6Onp0eUD6+RbPvXy/jdQUVFVevuvUuZj4t8yZMgQZs2aJfOIX7p0id27d+Pj4yNn17dvX7n/N2/ejImJCQ8ePMDZ2Rlj49w4WENDQ8ze8fj8/PPPLF26VDaIwcbGhgcPHrBhwwaGDcvzAE6ZMkVuoEN+ateuTe3atWX///LLL3h7e3P48GEmTHj/p67Y2FikUikODkXHWT569IjDhw9z6dIl2fRGO3fuxNLSkoMHD9K/f3/CwsLo27cvNWvmNsJVq1aV5TcwMADAxMTko8XEJ758SVZ2Ngb6unLpBvp6xCV8vBCgddv3YGwgoUHtkn/iVNfTR0VNnQyp/KfbTKkUjULCVFLu3+PpPHeq/vgTqpqaqKirk3DpImErl8lstCpVoqJZPeLPnOLxrK/RqmyB1eTpqKipEbF9q8LjFoWqji4qampkv5S/btkvE1HV1X9/fl19yjnVIX7byhKf+59Ey9SItCj5l4r06DhUNTTQNJKQFhmDlpkRaVHyHey0qDi0zBTHsBdFwqs0snJyMNSRn1/YQFuLuNTXCvMY6ZTn+w71cDSVkJ6VzbGAUMbuv8DGAa2pX0gc/X+BpKQksrOzkeRrLyT6ekilCQrzSKUJSPT18tnrk5WVRWJSEoYGBtx/8IATp06zbtWHOxISXqaSlZ2NoW4FuXQDvQrE3XtZrGPsOOnLq7R0Or0TvvU8Rsr1gCd0bVqHlVPdCI+K5dcdh8jKyma0S3ultErftEH52199fQnR0VGF5kuQStHXlxTII5V+eHjcu5SF9vxtnSx4DfWLqJMFx4HpK6iTJ0+dZu1HqJN55/20y/tf4T/sUVeW/5tOvJGREd27d2fbtm3k5OTQvXt3jIyMCtgFBwfzww8/cPXqVWJjY2Ue+LCwMJwL8bTGxMQQHh7OiBEjGDVqlCw9MzMTPT35B1CDBg3yZ5cjJSUFd3d3jhw5wosXL8jMzOTVq1fF9sTn5OQABVcFy09AQADq6upyo6INDQ2xt7cn4I0HYtKkSYwbN45Tp07RoUMH+vbtS61aJYsrTktLIy0tTS7tvauk8c+taLbT+whnfK+y6ufv0NLUVP5Ab65zvkSFpuWsq2A5cSoR27eSdP0aGoaGVB7zFdbTZhC6+NdcIxUVMqVSQpcuguxsUoMC0TAywsx1kFKdeGV0votO4zZkv0rh1Z1PcDn1/L/pbd14N12RjcJrUVzy1UkK1tO3VDGoSBWDvPj32pUMiXz5ih03gv7Tnfi3FFyxkPyXN3+GfAlv2jhUSE1N5dcly5gyaQJ6eroF8yotMt8Zcwov73c5cdWfDQfP8NukoRi88yKQnZONga4O37v1Rk1VFacqlYlJSGL78YvF7sT7nD/LmlXLZf//6P5LrlQlVoAsuDvnH5u9ryy054quYVHFXVC/fJ1cuGTpmzqp/JiHslre/yj/YY+6svzfdOIBvvzyS5k3e82aNQptevbsiaWlJR4eHlSqVIns7GycnZ1JT08v9LhvO/oeHh4FpgpSU1OT+19Hp+hPfjNmzODkyZMsWbIEW1tbypcvT79+/Yo8/7sYGxsjkUhkHfHCyCmkQ/NugzBy5Eg6d+7M0aNHOXXqFAsWLGDp0qVMnDixWFoAFixYgLu7u1zanDlz+GpAwRl59CpWRE1VtYCXRpqYhMFHeEDvOniUHfv/ZLn7t4UOmnofmYkJ5GRlomEg73VXl0gKeOffYjZoCCn37hC1ZxcAr54Ek/XqNQ6r1vF8sweZ8XFkxMeRk5kJ73xefx0aioahESrq6rn7SkB2ShI5WVkFvO6qFfXITnq/F0y7SVtSr1+ErKwSnfefJi0qtoBHXdPYgOyMDNLfDDxMi4xFy0z+BV3LxKCAB7846JfXQk1FhbgUea+7NDUNA+3irf4HUNPcgGMBxXsR/39FV1cXVVVV4vN5ABMSEwt4598ikRT0iEoTElFTU0NXtyKhoWFERUXzo/vPsv1v27YuPXuxZeM6KpkXP+5cv6J2bhuUmCx/zqRkDPQqFJIrl5PX7vDTVi8Wjh9E4xq2cvuM9HVRV1NF7Z3wOBtzE2ITX5KRmYmG+vsftY0aN8XunXE0b8MepVIpBu+0R4mJCQU8r3K/UVLQC5uQUHQeZSgL7fnbOpn/eiQWWScVXb/i1cmuPV3YvHF9sepkWSvvf4Uy+eZRuvxfvfZ06dKF9PR00tPTFcajx8XFERAQwPfff0/79u1xdHQsUPk137ztZ73TuTE1NaVy5co8efIEW1tbue3tQNjicvHiRdzc3Ojduzc1a9bEzMyMkJCQYudXVVXF1dWVnTt38uLFiwL7U1JSyMzMxMnJiczMTK5duyb3+4OCgnB0dJSlWVpaMnbsWLy8vJg+fToeHh6FXgdFzJo1i8TERLlt1qxZCm01NNSxq1aF67fvyaXfuH0PZ4cPm35vl/dRtu07xJIfZ+BgW/X9GQohJzOT1KBAKjZoKJeuW78hyffuKcyjWq5cwZem7Nzr9vaFKfneXbQqW8g1UuUsLUmPjS1xBx6ArCwywp9QzkH+y0k5+1qkPQ0sMquWrRMaJuakXCl8sFRpkXDVH6P28qvbGXdsQeLNe7LrJL3qj1F7+enRjDq0QHrFr8Tn01BTxdFUn2th8p+rr4ZGUbuS4vApRQRGJ/ynZqFRhIaGBtVtbbnl5y+XfsvPHydHxeF/Tg4OCuz9sKtui7q6OpaWFmxYs4p1q1bItiaNG1G7Vk3WrVqBsYKvrUVqVFfHsUolrt2Xj9m++uAxtasV3lE8cdWfuZv3MW+MKy0VTBlZ29aa8Kg4mcMHIDQyFiP9isXqwANoa2tTqVJl2WZlZY1EYoD/rZsym4yMDO7dvYODY+Ez9Dg4OOHvd1Muze/WTRydPmxWn/yUhfY8r07Ktw25ddJRYR5HBXXyZoE6uZp1q1bKtrw6ubLYdbKslbfg0+T/qhOvpqZGQEAAAQEBBTzkkPuGbWhoyMaNG3n8+DHnzp1j2rRpcjYmJiaUL1+eEydOEBUVJZuuce7cuSxYsIAVK1YQFBTE3bt32bp1K8uWLStwnqKwtbXFy8sLf39/bt++zaBBg+Qa/uIwf/58LC0tady4Mdu3b+fBgwc8evSILVu2UKdOHZKTk6levTouLi6MGjUKX19fbt++zRdffEHlypVxcXEBcuP3T548ydOnT7l16xbnzp2TdfCtra1RUVHhyJEjxMTEkJycrFCLlpYWurq6cltR4TQDP+vKkTM+HDnzFyHhz1m55XeiYuPo1Tn3k/P6HXv4eYX8fP+Pnoby6Gkor16nkZCUxKOnoTwNfy7bv9P7CB679jNrwijMTYyIkyYQJ00g9ZXimOb3EbVvD0bdemLYtTvlrKyxGD8JTVNTYv/MnZ2g0sixVJmVNx9w4uVLSFq2xuizXmiaV0LHuSaWE6eSEnCfjLhc73DMIW/UdfWwnDAFLQtLdJs0xWzQUGIOHlCooTi8PH8Enabt0W7SFnXTyuj1GYaagREpvrkzwej2/BzJkK8K5NNu2o60p0FkRoQXPKiaGhqVrdGobI2KujpqegZoVLZGzUi52RfUdLTRre2A7puOj7aNBbq1HShnmeupsv9lGrW3LpTZh27cTXnrSjgunkkFh6pYuPXFcnhfnizbIrMJWb0do47Nqfr1KHTsq1L161EYtW9KyCr5QebFZXB9O7zvPuXgvac8iUtiiY8/kS9T6Vs7t/Ow6uJdfjieF3a089Yjzj9+Tpj0JcGxiay6eJezj57jWifPO5uRlU1gdAKB0QlkZGUT/fIVgdEJhEkV30f/L/Tt7cKJU6c5ceo0YWHhrNu4ieiYGNkc25s9t7Fo6W8y++7duhAVHc16j82EhYW/yXuGfn1yZ4LS1NTEpoq13FZBR4fy5ctjU8UaDQ2NEmsc3Kkl3hducPDCDZ68iGbJH0eIjEugb9vcr6yr9p3gB4+9MvsTV/35cdM+pg7sRs1qVsQmviQ28SUv3xkz0b9tYxJTUlm86wihkTFcvP2QLUd9GNCuqVLXEXIdAJ/16s2+vX9w5bIvoSFPWb5sMVpaWrRu005mt2zJQrZt3Sz7/zOX3vjdusn+fbsJDw9j/77d3Pa/xWcueWO1Xr16xZPgxzx5MztWVFQkT4IfFzrtYmGUhfa8T+9enDh1mpNv6uT6jR5Ex8TQ/U2d3OK5jUVL857jPd7UyQ0emwgLC+fkm7x936mTVapYy21v62QVJesklI3y/sdRVVV++4/yfxVOA7mfzwpDVVWV3bt3M2nSJJydnbG3t2flypVy00iqq6uzcuVKfvrpJ3788UdatmyJj48PI0eORFtbm8WLF/PNN9+go6NDzZo1mTJlSon0/fbbb3z55Zc0a9YMIyMjvv32W5LeWRCoOEgkEq5evcqvv/7KL7/8QmhoKBKJhJo1a7J48WJZnN7WrVuZPHkyPXr0ID09nVatWnHs2DFZI5OVlcVXX33Fs2fP0NXVpUuXLvz2W+4DtnLlyri7uzNz5kyGDx/O0KFDi71gVlG0b9GExJfJeO49SJw0ARsrCxZ//zVmJrneizhpAlEx8oMWh0/L6zAHBj/l9IUrmBkbsX9jrlbv42fJyMzk+0XygzSHu/ZmxMDCBxkXhvT8WdR1dTEfOhwNA0NehTzh8cyvSY/K9dZqGBqi+c6c8XEnj6GqrY1J735YjptIZnIyL/1u8nxj3hSkGTHRPJoxBYuvJuO0eRsZMbFEe+0j8o/fS6zvLa9uXSFBpyK6XfqipishIyKc2HULZLPNqOlJUJfIe4VUypWnfJ3GJB7wVHhMNT0DTGculv1fscNnVOzwGWmP7hOz0l1hnqLQq+9M07M7ZP87LfkOgPDtXtwZMQstc2PKW+Z9en4V8ozrPUfjtHQW1uMGk/YimvtT5xHpfUpmI73ih9/gadi7T8HefRKpweH4DZpKwt93SqwPoLO9JYmv0vG4GkBsymuqGeqysncLKunmhsbFprwm8mXePM0ZWdn89tcdYpJfoaWuRlUjXVb2ak6Lqnm/Iyb5FZ//njd17I6bQey4GUR9CyM8BrRRSmdZoE2rliQlvWTnH3uIj4/H2tqaX9x/xPTNWhnx8VKiY/LmjDc3M2Oe+xzWe2zizyNHMTA0YPyYUbRs3qywU3wwnRvXIjElBY/DZ4lNfEm1yqasnOpGJaPc8IPYxJdEvjNn/AGfv8nMyubXHYf5dcdhWXrP5vVwH9kfADNDfdZM/5KlfxzF9YeVmEh0+bxjM9y6tf4grX37uZKels66NatITn6Jnb0DP/3yK9ra2jKbmJhoVN4ZEOjoVINvZs5mx3ZPdu7Yhpm5Od/MnI29Q57n+fGjIL6b+bXs/80euR3tdh06MnXa+xe0eUtZaM/btGrJy6Qkdv6x+506OeedOhlPzDt10szMjF/c57DhnTo5bsxoWjb/5xdH+tTL+x9HxMSXGJWcwoKnBYIPIObBJzhg8h2MnRpxs+0nuGJdPuqfv8SziQNKW0aRWKzay1GN4k1rWVp0zwgkZYPyK3z+W+iMmVfaEopF6OOiQ7ZKG2tbe1Iue73fsJTRadaHoGJObVla2FWzKhPtecjjoNKW8V6q2NqVifIuLV4fVH62tHK9Jn1EJWWH/ztPvEAgEAgEAoGgjCE88SVGdOIFAoFAIBAIBKWLmJ2mxIjXHoFAIBAIBAKBoIwhPPECgUAgEAgEgtLlPzzLjLKITrxAIBAIBAKBoHQR4TQlRnTiBQKBQCAQCASlixjYWmJEJ14gEAgEAoFAULqIcJoSIzrxAoFAIBAIBILSRYTTlBix2JNAIBAIBAKBoFR5fXKz0nnLdR7xEZWUHYQnXvCPEBVws7QlFImpY33udGtT2jLeS61jPmVixdZPfTVUnTHzPvlVZSF3ZdmyQPijB6UtoUgsqzuRemFvact4L9qtBpSJFTxj7l8rbRlFYlyjMY+Dn5a2jPdiW82Gp8GPS1tGkdhUsy29k4uY+BIjOvECgUAgEAgEgtJFhNOUGNGJFwgEAoFAIBCULmJga4kRnXiBQCAQCAQCQamSIzzxJUZ04gUCgUAgEAgEpYuIiS8x/9dXzNPTE319/dKWIRAIBAKBQCAQfFRKxRPv5ubGtm3bCqR37tyZEydOfLTzuLq60q1bt492vH+aKlWqMGXKFKZMmfJeWz8/P+bPn8+FCxdITEzEysqK1q1bM2PGDOzs7D5Yi5ubGwkJCRw8ePCDj5Uf72On+ePgEeKlCVSxrMzEEUOpXcNBoW1svJS1W3cSGPyUZxGR9O3emUkjh8rZPA17xuZd+wgKfkpkTCwTvhzCgM+6fpBGw+4uGPcdiLqBIa9Dn/Ji42pS798t1F6/TQeM+w1Eq5IFWakpvLz5NxGb1pH1MgkA3WYtMXH9Ai3zyqioq5H2/Dkx3ntIOHf6g3TqtOxExfafoaarT0bEMxK8PEkPfqjQVvLFeHQatymQnhERTtT86QCom1mg290VTUsb1A1NSDjgSbLPsQ/SuNc/mO03AolNeU1VQ12+blObehbGCm1vhEczet+FAukH3DphY6ALQHBsIusuPyAgWkpEUirT29RmcL3qSuszaNGAqtNHoFfPmXKVTLjRdzxRh88WnadlQ5yWzKSCU3XSXkQTvHQTYRt3y9mY9e6E3dzJaFezIjU4jMAffyPq0BmldZYVDh09zj6vg8TFS6liZcn4USOo6exUqP3tu/dYv2krIWHhGBoY4Nq3Fz27dZGzSU5OYcuO3/G9fI2XycmYm5owZsRwGjesr5TGveevse2kL7GJyVSrZMLXrl2pZ1dFoe3ZW/fZ53OdwPAIMjKzqFrJhLE929LMWb7O7TxzmX0+fxMZn4h+BW061K/BxD4d0dLQUEojQE5ODn/s3MHJE0dJTk7Gzt6BseMnYm2tWOtbLvleZOcOTyIiIjA3N2fIsOE0bdZCtv/e3Tt4HdhH8OMg4uPj+e77uTRt1lwpjV7Hz/DHoWPESROpYlmZyV8OpraT4pmgYuMTWL1tF4HBITyLiKJft45MHvGFnM1fV6+z/cCfPI+IJjMrEwtzMwZ+1pUubZTTB3DkyJ94HdhPfHw8VtbWjB49Fmdn50Lt7969g4fHRsJCQzEwNKRf3/50695dzuaSry87dmyXXeOhw4bRTMlr+JY/jxxh/wEv4uPjsba2Yuzo0UXqvHP3Lhs9PAgNDcPQ0ID+ffvRvXten8f30iX27NnLi4gIMjMzqVy5En1696FD+3YfpPMfQ3jiS0ypXbEuXboQEREht/3xxx8f9Rzly5fHxMTkox7zU+DIkSM0adKEtLQ0du7cSUBAADt27EBPT48ffvihtOUVyVnfK6zasp2h/Xuxadl8ajk58M3PC4mKiVVon5GRiZ5eRYb0d8G2ipVCm9dpaVQyM2HM0IEYSPQ/WKNeq7aYj55A9J7feTRxJCn372Lz0yI0jBXXJW2nmlhOn0X8qWMEjnMjdP5ctKs7YDF5hswm6+VLonfv4PH08QSNH0H8meNYTp1JhXoNldZZvl5T9Pu4kXTSi6iF35IWHIDRuO9QkxgqtE/Yv5UX342SbRE/jCUr5SWv/K7KbFQ0tciKjSLx8C6yEqVKa3vLycBwlvj4M6KxI7u+6EDdykZM9PYlIim1yHzewztzakwP2WalX1G273VmFpX1dJjUoiZGOuU+WKOajjZJdwK5P/mnYtmXr2JBwz83Eu97E9+GvXi8cD01fpuNWe9OMhv9JnWou+s3nu88xMX6LjzfeYh6fyxHv1GtD9b7KXP+gi/rPLYwaEA/1q9cSs0aTsya+zNR0TEK7SMio5g99xdq1nBi/cqlDBrQlzUbN3Ph0hWZTUZGBt/8MJfIqBh+nDUDzw2rmTpxPEaGBkppPHn9Lov3HGdE99b88eM46la3ZsLKHUTEJSi0vxUUShOnaqyeNISd34+job0Nk1fv5GHYC5nNsau3WXngNGN6tsXrp0nMGdabk9fvscrrw17SD+zfw0HvA4wZN4Fly1cjkRjw4+xvSU0t/P55GPCARb/+Qtt2HVi5Zj1t23Vg4YJfCHwYILN5/fo1NjZVGTNuwgfpO+t7lZVbdzK072dsWfoTtR3t+PqXJUQW1p5nZqCvq8vQvp9hW8VSoU3FChUY2vcz1v/6A9t+m0e3di1ZsNqDa353lNJ44a+/8Ni4AVfXgaxctQbnGs7M+fF7oqOjFdpHRkYy58cfcK7hzMpVa3Ad4MqGDeu45OsrswkIeMCvv86nXbt2rF6zlnbt2vHrgvk8fKjYgVIc/vrrAhs2ejDQ1ZU1q1biXMOZ73+cU6TOH36cg3MNZ9asWonrAFfWbdiAr+8lmU3FihUZONCV35YuYd3aNXTq0JFlv/3GjZuf5hTQOSoqSm//VUqtE6+lpYWZmZncJpFIZPsfPXpEq1atKFeuHE5OTpw+fRoVFRWZZ9jHxwcVFRUSEhJkefz9/VFRUSEkJAQoGE4zd+5c6tSpw4YNG7C0tERbW5v+/fvLHcPNzY1evXoxf/58TE1N0dfXx93dnczMTGbMmIGBgQEWFhZs2bJF7vc8f/4cV1dXJBIJhoaGuLi4yHS8e9wlS5Zgbm6OoaEhX331FRkZGQC0adOG0NBQpk6dioqKCiqFVMrU1FSGDx9Ot27dOHz4MB06dMDGxobGjRuzZMkSNmzYILP966+/aNSoEVpaWpibmzNz5kwyMzNl+/fv30/NmjUpX748hoaGdOjQgZSUFObOncu2bds4dOiQTIuPj08xSvX97D10jO4d2tCjY1uqWFZm0sihGBsZcvCEYg+luakxk0cOo0vbVuhoayu0caxejfFug2nfshma6h/+ccm4d3+kp44Rf/IoaeFhRGxcTUZMNIbdXRTaazs4kR4dSdxhLzKiIkl9cJe444cpXz3PG5Vy15+kK76khYeRHvmCuEMHeP00GJ0aNZXWWbFtD1KunCP1yjkyo56T6LWNLGksOi06KbTPef2K7JeJsk3Dqhqq5XVIuXpeZpMRFkziod95desyOZkZSmt7y86bQfRytqF3TRuqGuoyo20dTCtqs/92cJH5DMprYaRTTrapqebdDzXMDJjauhadHSzRUPvwJizm5AWC5iwn8mDxOlzWowfyOiyCB9Pnk/zwCeFb9hPu6UXVaV/KbGwmDiP2zGWCF20kJfAJwYs2EnvuKlUmDvtgvZ8yBw4epkvH9nTr3BFrS0vGjx6BiZEhfx5T/IX1yPGTmBgbMX70CKwtLenWuSNdOrRjn9dBmc2J02d5+fIlP30/E2cnR0xNTKhZw4lqVW2U0vj76cv0alGPPi0bUNXchBkDu2Em0WXfX38rtJ8xsBtuXVpSw8bif+ydd1gVRxeHX0BEQeldOkizUKzYjb33HqPGqNFEo8ZYYtdEjLF3sYC9Y1fEhr0LVkTFAipVugUQ7vcHcvFyL1UT9Mu8z7PPw517ZvZ3Z3eHs7NnzmJppMfwzs2wMNTl9M2cnP63HofjamdBq1oumOrr4FHJjpY1q3Dv6UuFbRYGiUTC/r176N6zF3Xq1sfSyppRv/5GamoqpwNO5llv315fXN2q0a1HL8zNLejWoxcurm7s3+crtaleoyZ9+w2gTt36xdYHsO2AH22bNKRds0ZYmVXgl4HfYqiny96jivWZGBowcuC3tGpcL8/x3L2yEw1rV8fKrAIVjI3o3rYFtpbm3Ap+UCyNe/b40rx5C1q0bIWFhQWDh/yIvoEBhw8dVGh/+PAhDAwNGTzkRywsLGjRshXNmjXH13eX1Gbf3r24ubnTvUdPzM3N6d6jJy6uruzbt6dYGgF89+yhRfPmtGrZAgsLC34cMhgDA30OHlL8JPTQ4cMYGhrw45DBWFhY0KplC5o3a8Yu35zj7FK1KnXr1MHCwgJTExM6duyAtbU1d+9+oe95UFIu/vYf5Yv85ZmZmXTu3BkVFRUuXbrEypUrGTdu3Gdp+9GjR+zYsYMDBw7g5+dHUFAQP/30k4zNyZMnefnyJWfOnGH+/PlMmzaNtm3boqOjw+XLl/nxxx/58ccfCQ8PB7Ic68aNG1OuXDnOnDnDuXPnKFeuHC1btiQtLU3a7qlTpwgNDeXUqVOsX78eHx8ffHx8APD19cXMzIwZM2ZIn0wo4ujRo8TGxjJ27FiF32fftLx48YLWrVtTo0YNbt68yYoVK1i7di1//PEHABEREfTq1Yvvv/+e4OBgAgIC6Ny5MxKJhDFjxtC9e3eZpyV16tT5lG4HsmbVH4Q+oYar7GxkDdcq3LlfvAH6c6NUqhRl7RxIvnFVpjwl8CrqTpUU1nkTfAdVfQPKV68FQCltHbTqNST56iWF9gDlXNxRMzPn9Z2bxROqooKquQ3v7svWf3f/FmrWhXupkUbtb0gNuU1GvOJZs08lPSOT4KgEalsayZR7WBpx8+WrfOv22nSc5qsOMmTnaa6GKZ6JKim0a7sSc/y8TFmM/1m0qlVG6cNNpE5tV2KPn5OxiT12Fh0Pt39N579Neno6Dx6FUt3NVaa8mpsr9/KYobx3P4Rqueyru7vx4FGodMLh4uWrODs6sHiFF12/7c8Pw0awZccuMjIyiq7x/XuCn73Ew1n2hTa1K9lxMzS8UG1kZmbyJjUNLY2y0jJXOwvuPXvJnSfPAXgeE8f52w+oV7X4oY1RkZHEx8fh5l5dWqaqWprKVapyPzhvJ+z+/Xu4ucuGGbm5Vyf43ud13LLG86fUcJEN98gazx9+ln1IJBKu3bpL2MsIXJ0Vh1zmrzGdR48e4ubuLlPu7uZOcHCwwjr3g4Nxd8tlX60aDx8+lJ6T9+8Hy7fpXo3ge4rbLIzOh48e4e4uOz7kpzM4+L6czmrV3GV0foxEIiEwKIjnz59TJZ8QnRJFSan4WzFYvnw51tbWlClThmrVqnH27Nk8bX19fWnWrBkGBgZoamri4eHB0aNHZWx8fHykE58fb+/evSuWvsJQYtlpDh48SLly5WTKxo0bx+TJkzl+/DjBwcE8ffoUMzMzAGbNmkWrVp8W5wxZjxHXr18vbXfJkiW0adOGefPmYWxsDICuri6LFy9GWVkZBwcH5syZw5s3b/j9998BmDBhArNnz+b8+fP07NmTbdu2oayszJo1a6Qz6N7e3mhraxMQEEDz5lkzozo6OixduhQVFRUcHR1p06YNJ06cYNCgQejq6qKiokL58uWlOhTx8GHW4OjomP+Atnz5cszNzVm6dClKSko4Ojry8uVLxo0bx5QpU4j4ECPXuXNnLC0tAahSJWdWuGzZsqSmpuarpagkJieTkZmJjraWTLmulhZx8YmfbT+fgoqmFkoqKrxPkA0lSY+Pp7yO4sf3b4LvEj7nTyzGT0W5dGmUSpUi8eI5XqxYJGOnrK6B08ZdKKuqIsnM5MWyBaQEFu+xprKGJkoqKmQmy/ZbZnIiypraBdfX1KaMsytx6xcXa/+FIeFtKhkSCXoaajLluupqvHqjeFDT1yjLpKbuOBnpkJaRyeHgZ/y46wxe3RtSLY84+n8bNSN9UqNkb3zSol+hrKpKaX0dUiNjUDPWJzVK9kYlNeoVasZfxm/4J0hMSiYzMxOdXCFtOjraxN1IUFgnLj4eHR03OfuMjAwSk5LQ09UlIiqKwFu3adKoAbOmTebFi5csXulFRkYGfXv1KJLG+JQ3ZGRmoqsp+79Hr3w5XiUmF6qNjccu8DY1jebVcxyhljWrEp/8hgF/rQEkvM/IpFujmnzfqkGR9MlojY8DkEvOoK2tQ3R0VJ71EuLj0dbWkSnT1tYhPv7Tw+M+Jns815UbzzV5lfBp43nK6zd0GvQLaenvUVFWZvTg76jhWnTHMykpiczMTPn+0NGR9m9u4uPj0daR77+MjAySkhLR1dUjPj4enVxt6nxCH2fr1Ml1rHV0tInLo834+Hj5a01b9toBeP36NX36fkd6ejrKysr8/NMwuZuFL4Z/MU/89u3bGTlyJMuXL6du3bqsWrWKVq1ace/ePSws5EN3z5w5Q7NmzZg1axba2tp4e3vTrl07Ll++jJtbTn9qamoSEiL75u0yZT497DMvSsyJb9y4MStWrJAp0/1w0gUHB2NhYSF1tAE8PDw+y34VtZuZmUlISIjUYa1UqRLKH51MRkZGMotLVFRU0NPTk8aqXb9+nUePHlG+fE7cLmTdMISG5oQNVKpUCRUVFelnExMTbt/Oe7GkIiQSSaHsgoOD8fDwkAnLqVu3LikpKTx//hwXFxeaNGlClSpVaNGiBc2bN6dr164yIU2FITU1ldTUVJkyNTW1PKyzyH3PLOELfFFbrn5WUlLKXSRFzdwS0x+HE711PcnXr1JKVw+TgT9i9vNoni/6W2qX+fYND3/+AeWyZSnn4o7poJ9Ii4zg9e2gz6bzQ2GB1TRqNSLz7Wve3lIcQvB5kT24EkBJ7izIwkq3PFa6OdeRi6kekclv2XjtwRfjxAPy/Z59An9crsimkNfv14zc9S2R5BkeqKhG9hiXXSfLCdNi1M9DUVFRwd7Olldxcezw3VdkJ166x1xyJBSkMYsjl2+xcv9JFvzUR+ZG4FrIE9YePs2EPm2pYm1GeHQcf28/jJdWOQa3bVwoTQGnTrBsyULp5ynT//igVb5/CtIq/7XkHxtj5ftSXnNRUS9bBu95f/D23Tuu3brHUu+tmBoZ4l7Z6fNoLKAP5btPIv+NwnOoWPI+arOoxzq3vXxp2bJlWb50CW/fviXo5k28Vq/B2NgYl6r/3+tzCmL+/PkMHDiQH374AYCFCxdy9OhRVqxYgaenp5z9woULZT7PmjWLffv2ceDAARknXklJ6bNOfhZEiTnxGhoa2NnZKfxOkaOa+0TOdrI/ts2OLy8K2e1+3L5qrmwCSkpKCssyMzOBrH8y1apVY/PmzXLtGxjkOB75tVFYsjPP3L9/P98bG0UX/8f/HFVUVDh27BgXLlzA39+fJUuWMHHiRC5fvoy1deFjTT09PZk+fbpM2dSpUxnao52crVb58qgoKxOXa5YmPjFRbna+pMhISkSSkUGpXLPupbS1eZ+geObGsEcfXt+7Q8zu7VkFTx/z4t077OYuIXLDWt5nz/hIJKRFvADg3eNHlLGwxLB7b54Uw4nPfJ2EJCNDbtZdubwWmUkFz4Kp127Mm6tnoRghCYVFu6waKkpKvHotO+se/yYVXfX8b/Q+poqJLoeDwz63vGKTGhUrN6Ne2kCXzPR00j4sjkyNjEXNWF/GRs1QV24G//8JLc3yKCsrExefIFOekJD39a2rIz97mZCQiIqKCpofJkX0dHVQUSklMwFiYW5GXHw86enpcuNqfuiUU0dFWZlXiSky5XHJr+Vm53Nz9OptZmzYy5whPajtbCvz3fK9J2hT24XO9bNCXyqaGfM2LY0/Nu7nh9YNZSaF8qJmLQ/sHXKesGb/P4uPj0dXN2exemJigtzM8sdoK+zT/OsUh+zx/FV87vE8CV0tzU9qW1lZGTOTrDC8itaWPHv+kk2+B4rsxGtqaqKsrCzXH4n59IeOov5LTMg6JzU187b5hD7OS2fWtaNdbJ2Q1ZempqYA2NraEhYWzvYdO79IJ/7fWqCalpbG9evXGT9+vEx58+bNuXDhQqHayMzMJDk5WTr5nE1KSgqWlpZkZGTg6urKzJkzZZz8z80XGRPv7OxMWFgYL1/mLAq6ePGijE22c/xx7HhQUFCBbStqV1lZ+ZPSMrq7Z8WhGRoaYmdnJ7NpaRXeOS1dunSBcZ7NmzdHX1+fOXPmKPw+e5Gus7MzFy5ckLnJuXDhAuXLl6dChQpAljNft25dpk+fTmBgIKVLl2bPnj2F1gJZoUWJiYky24QJExTaqqqWwt7WmmtBsk8frgXdobLjp6fF/BxI3r/n7aMQyrlVlykv51adN8F3FdZRVlMDSa6bscwPfVfQjJlq6eIJzcggPfwxZRxlB+IyDlVJfRKSR6Us1OycUTU04fXFvBfHfQ5UVZRxMtLmcpjso/9Lz6JwMVWcQUcRIdEJnyULzeci4VIQ+k1k14gYNKtH4vU7SD7EosZfCkK/iWy6Of2m9Yi/GPiv6fy3UVVVxd7OlutBsus0rgfdxDmP8D9nRwc5+2uBQdjb2VLqw/qCSk5OvIyIkJnweP7iJXq6OkVy4AFUS5XCydKUS8GyC6sv3QvFxVZxthTImoGf6u3LrB+6Ur+q/JqTd2npKOeeaFJSRiKRFOK5WBbq6uqYmlaQbhYWlujo6BJ0IyfkLj09nTu3b+HolHfKTkdHZ4JyhekF3riOk3PedYpD1nhuxdWbd2TKr928Q2XH4qd8VYQECWnp8nHeBaGqqoqdXUUCA2Wvu8DAQJycFN8QODo5ydvfuEHFihWl56SjoxNBCmycnIv3pEBVVZWKdnZF0unk5Chnf+NGoIxORUiQFGvC81/hExa2pqamkpSUJLPljhLIJjY2loyMDIyMZNdrGRkZERkZWSip8+bN4/Xr13Tv3l1a5ujoiI+PD/v372fr1q2UKVOGunXrSsOg/wlKzIlPTU0lMjJSZouNzZqlatq0KQ4ODnz33XfcvHmTs2fPMnHiRJn6dnZ2mJubM23aNB48eMChQ4eYN29egfstU6YM/fr1k7Y7YsQIunfv/kmPP/r06YO+vj4dOnTg7NmzPHnyhNOnT/PLL7/w/PnzQrdjZWXFmTNnePHihbQvcqOhocGaNWs4dOgQ7du35/jx4zx9+pRr164xduxYfvzxRwCGDRtGeHg4w4cP5/79++zbt4+pU6cyevRolJWVuXz5MrNmzeLatWuEhYXh6+tLTEyMdMCwsrLi1q1bhISEEBsbm+dFr6amhqampsyWXzhN9w6tOXj8FIeOB/A0/AVL1m4kOjaWDi2aALBq4zb+XLhcps7Dx095+Pgpb9+9IyEpiYePn/I0PKdf09PfS23S378nNi6Oh4+f8jyicBdjbmL27ES3RRt0mrVCzdwCk0E/oWpgxKvD+wEw7j8I819zblSSLl9Eq04DdFu3p7SxCerOlTH9cQRvQu7xPi4rLtqge2/KuVWjtLEJamYW6Hfqhk6TFiScKn4KuuRTB9HwaIJ67caUMqqAVud+qOjq8/pcVpua7Xqh0/cnuXrqHt+Q+uQB7yMULORTUUG1giWqFSxRKlUKFS1dVCtYoqJvJG9bCPpUs2fP7SfsvfOEx6+SmBsQRGTyG7q42ACw5OxtJh/JCenZfOMhpx69ICw+mdDYRJacvc2Jhy/o4Zrz1C49I5OQ6ARCohNIz8gkOvktIdEJhMWnyO2/MKhoqKPp4oimS5ajqW5thqaLI2XMTQBw+GM0Lt5/Se2feW2jrKUpTn+Pp5yjDWb9u2A+oAuP5+dkrHq6dAP6zepiM2YQGg422IwZhH4TD54ukX8/xv8TXTq254j/cY74H+dZeDjLV68jOiaWdq1bALDGZyOz5+WsFWnbqgXR0TGsWL2OZ+HhHPE/jt+xE3Tr3FFq0651S5KSk1nmtZbnL15w6eo1tuzcTfs2xVsj9W2zOuw5e529567zOCKaudsPExmXSNeGNQFY7OvPpLU5mUiOXL7FFO/djO7Wkio25sQmJhObmEzyR+s6Grg4sPP0Vfyu3OJFTDyX7j1ixb4TNHRxRKWYcb5KSkq079iJnTu2cvHCOZ49fcLC+X+jpqZGw0Y5eb7nz/2L9d5rpZ/bd+hE4I3r7Nq5jfDwMHbt3MbNoBu079BZavP27Vsehz7icegjAKKiInkc+ijPdIZ50bNdSw6eOM3BE6d5+vwFi9dtJir2FR2bZ+lbuWkHMxetkqnz8MkzHj559mE8T+bhk2c8CX8h/X7j7gNcDbrDi8honj1/ybb9R/ALOE+LBsVLrtCpU2f8j/rh73+UsLAwvLxWERMTTevWWXnffbzXMW9uTthj69ZtiI6OYrXXKsLCwvD3P4q//1E6d+4qtWnfoSM3blxn584dhIeHs3PnDoKCAunQoVOxNAJ07tQJv6P+HPX3JywsjFVeXkTHxNDmw7tu1nn78PfcHB+nTevWREVHs8prNWFhYRz1z6rbtXPOcd62fQc3bgQSERFBeHg4u333cOLESb5pXLgQr38biZJysTdPT0+0tLRkNkVhMR9TnFA1gK1btzJt2jS2b98uk8a8du3afPvtt7i4uFC/fn127NiBvb09S5YsKV6HFIISC6fx8/PDxMREpszBwYH79++jrKzMnj17GDhwIDVr1sTKyorFixfTsmXOC0BUVVXZunUrQ4cOxcXFhRo1avDHH3/QrVu3fPdrZ2dH586dad26NXFxcbRu3Zrly5fnW6cg1NXVOXPmDOPGjaNz584kJydToUIFmjRpIvNYqyBmzJjBkCFDsLW1JTU1Nc/49w4dOnDhwgU8PT3p3bs3SUlJmJub880330izz1SoUIHDhw/z22+/4eLigq6uLgMHDmTSpElA1uO7M2fOsHDhQpKSkrC0tGTevHnSxcODBg0iICCA6tWrk5KSwqlTp2jUqNEn9RNAk3oeJCWlsH67L6/iE7C2MOOvyWMxNsx6svIqLoGoGNkFgQNH/y79OyT0CcfPXMDYQJ8dq7MWZcbGxcvYbNt7iG17D+FayYnFfxY9b37imVOUKq+JUe9+lNLV5d3TJzydOo70D4vJSunooWqQ49TGH/dDuWxZ9Nt1wvSHYWS8TiHlZiAR3jn/vJTLlKXCsFGo6huQmZZKangYYXP/JPHMKbn9F5a3Ny6SoFEezZZdUNHUIT0inNgVntJsMypaOpTSkQ3pUCpTlrKutUjc7aOwTRUtXYzG5/xDK9+0PeWbtif14V1iFk9XWCc/WjiYk/g2jdWXgol9/Q5bPU0Wd6qHqaYGALGv3xGZnJPzOj0jkwWnbxGT8ha1UirY6GuyuGNd6tnkjBUxKW/ptSknJenG6w/YeP0B1cz0Wd29UZE1alWrjMeJjdLPznOzzqXwDb7cGjgBNRMDyprn7P/t0+dcbTcY53kTsBzah9SX0dwd9SeRe/ylNvEXAwnsMxqH6SNxmD6CN6HhBPYeRcKV4uW6/lpo3KAeScnJbNq2g7i4eKwsLZg1bRJGH/7RxcXHEx2TkzPexNiIP6dNYsUab/YfOoKeni4/DR5Ig7o5oYKGBvr8NWMqy9d4M+jnUejr6dK5fVt6dCmew9SiRhUSU97gdTCA2MRk7EyNWDKiL6Z62gDEJqQQGZcTIrL7zFXeZ2TiueUgnlty0hK283BjxvdZDtMPbRqiRFZYTXRCEjrlNWhQ1YGfOzUtlsZsunTtQVpqGiuWLSElJRl7B0dm/DEb9Y/SM8bERKP0UQpWJ+dKjB0/kY0bfNi8cT3GJiaMHT8RB8ecGd1HDx/w+/gx0s9rV68E4JumzRg1WnHmM0U0qVebxOQUfHbsk47nf0/8FWPDrHHnVXwCUbGy4/mAX3PG5JDQpxw7exFjA312rZoPwNvUVOatXk/0qzjUSpfGsoIJU34ZQpN6tQut62MaNGxIUnISW7dsJi4uHksrS6ZPn4nhh1nYuPg4YmJybl6MjY2ZPmMmq71WcfDgQfT0dBkyZCh16+W8LMvZ2Zlx4yewccN6Nm3cgLGJCePGTygw4UR+NGzYgKTkJDZv2Up8XByWVpbMnD4dI6PsaydO5toxNjZm5ozprPJazcGDB9HV02PokCHUq5fzBPDdu3csXb6c2NhYSpcujbm5GWPHjKFhw+IvuP5H+YRwmgkTJjB69GiZsrwmFPX19VFRUZGbdY+Ojpabnc/N9u3bGThwIDt37qRp0/yvb2VlZWrUqPGPzsQrSQq7UvILQElJiT179tCxY8di1Z82bRp79+4tVNiN4NOICv4yXyaRjZFTNW61blTSMgqk6uEAng/vXrBhCWK2ZAevV00s2LAE0RjyJ4dUC5d6syRpk55/KNSXQvjDLzTP9AfMKzrz5syOkpZRIOoNuvMg9MtZ76EIe1sLYu5eLmkZ+WJQqRaPQp+UtIwCsbO15smHpx9fKta2itcq/hskXzlU7Lrla7Yp2OgjatWqRbVq1WQmcZ2dnenQoUOeM/hbt27l+++/Z+vWrYXyQyUSCTVr1qRKlSpy7xb6XJTYTLxAIBAIBAKBQPBvM3r0aPr27Uv16tXx8PDAy8uLsLAwaUjyhAkTePHiBRs2bACyHPjvvvuORYsWUbt2beksftmyZaVrH6dPn07t2rWpWLEiSUlJLF68mKCgIJYtW/aP/Q7hxAsEAoFAIBAISpZ/Mdd0jx49ePXqlfQFm5UrV+bw4cPS9+ZEREQQFpbzlGzVqlW8f/+en376SeYFof369ZO+tDMhIYHBgwcTGRmJlpYWbm5unDlzhpo1a/5jv+OrcuI/NfJn2rRpTJs27fOIEQgEAoFAIBB8HpT+3Vwrw4YNY9iwYQq/y3bMswkICCiwvQULFrBgwYLPoKzwfFVOvEAgEAgEAoHg/49/K0/8/xPCiRcIBAKBQCAQlCz/8kz8/wPCiRcIBAKBQCAQlCgSxEx8URG3PQKBQCAQCAQCwVfGV5UnXiAQCAQCgUDw/0dC4Mli19V2+6Zgo/9DRDiNQCAQCAQCgaBkETHxRUY48QKBQCAQCASCEkVkpyk6wokXCAQCgUAgEJQoEjETX2SEEy8QCAQCgUAgKFnETHyREbc9AoFAIBAIBALBV4aYiRcIBAKBQCAQlCginKboiB4rQQICAlBSUiIhIaGkpQgEAoFAIBCUGBKUir39V/nPOfH9+/dHSUkJJSUlVFVVsbGxYcyYMbx+/fpf11KnTh0iIiLQ0tICwMfHB21t7ULVTUtLY86cObi4uKCuro6+vj5169bF29ub9PT0T9b29OlTlJSUCAoK+uS2BAKBQCAQCPJDoqRc7O2/yn8ynKZly5ZSZ/fs2bP88MMPvH79mhUrVhS5LYlEQkZGBqVKFb0rS5cujbGxcZHrpaWl0aJFC27evMnMmTOpW7cumpqaXLp0iblz5+Lm5oarq2uR2xUIBAKBQCAoEcTC1iLzn7x9UVNTw9jYGHNzc3r37k2fPn3Yu3cvkOWUz5kzBxsbG8qWLYuLiwu7du2S1s0OgTl69CjVq1dHTU2Ns2fP0qhRI4YPH87IkSPR0dHByMgILy8vXr9+zYABAyhfvjy2trYcOXJErq2EhAQCAgIYMGAAiYmJ0icF06ZNU6h/4cKFnDlzhhMnTvDTTz/h6uqKjY0NvXv35vLly1SsWBGA1NRURowYgaGhIWXKlKFevXpcvXpV2k58fDx9+vTBwMCAsmXLUrFiRby9vQGwtrYGwM3NDSUlJRo1avQZj4BAIBAIBAKB4FP4TzrxuSlbtqw0BGXSpEl4e3uzYsUK7t69y6hRo/j22285ffq0TJ2xY8fi6elJcHAwVatWBWD9+vXo6+tz5coVhg8fztChQ+nWrRt16tThxo0btGjRgr59+/LmzRs5DXXq1GHhwoVoamoSERFBREQEY8aMUah38+bNNG3aFDc3N7nvVFVV0dDQkGrcvXs369ev58aNG9jZ2dGiRQvi4uIAmDx5Mvfu3ePIkSMEBwezYsUK9PX1Abhy5QoAx48fJyIiAl9f3+J0rUAgEAgEAkGBSFAu9vZf5T8ZTvMxV65cYcuWLTRp0oTXr18zf/58Tp48iYeHBwA2NjacO3eOVatW0bBhQ2m9GTNm0KxZM5m2XFxcmDRpEgATJkxg9uzZ6OvrM2jQIACmTJnCihUruHXrFrVr15apW7p0abS0tFBSUiowxObhw4cFzoxnhwf5+PjQqlUrAFavXs2xY8dYu3Ytv/32G2FhYbi5uVG9enUArKyspPUNDAwA0NPTy1dPamoqqampMmVqamqoqanlq08gEAgEAoEgG/HG1qLzn7x9OXjwIOXKlaNMmTJ4eHjQoEEDlixZwr1793j37h3NmjWjXLly0m3Dhg2EhobKtJHt+H5M9ow8gIqKCnp6elSpUkVaZmRkBEB0dPQn6ZdIJCgVcLKHhoaSnp5O3bp1pWWqqqrUrFmT4OBgAIYOHcq2bdtwdXVl7NixXLhwochaPD090dLSktk8PT2L3I5AIBAIBIL/LmJha9H5T87EN27cmBUrVqCqqoqpqSmqqqoAPHnyBIBDhw5RoUIFmTq5Z5azQ1Y+JrudbLIz4Hz8GSAzM/OT9Nvb20sd8byQSCQy+/y4PLusVatWPHv2jEOHDnH8+HGaNGnCTz/9xNy5cwutZcKECYwePVqmTMzCCwQCgUAgKAr/5VSRxeU/efuioaGBnZ0dlpaWMk62s7MzampqhIWFYWdnJ7OZm5v/47pKly5NRkZGgXa9e/fm+PHjBAYGyn33/v17Xr9+jZ2dHaVLl+bcuXPS79LT07l27RpOTk7SMgMDA/r378+mTZtYuHAhXl5eUi1AgXrU1NTQ1NSU2YQTLxAIBAKBoCiImfii85+cic+L8uXLM2bMGEaNGkVmZib16tUjKSmJCxcuUK5cOfr16/eP7t/KyoqUlBROnDghzf+urq4uZzdy5EgOHTpEkyZNmDlzJvXq1aN8+fJcu3aNv/76i7Vr1+Lq6srQoUP57bff0NXVxcLCgjlz5vDmzRsGDhwIZMXoV6tWjUqVKpGamsrBgwelDr6hoSFly5bFz88PMzMzypQpI81nLxAIBAKBQCAoWf67ty95MHPmTKZMmYKnpydOTk60aNGCAwcOSFMu/pPUqVOHH3/8kR49emBgYMCcOXMU2qmpqXHs2DHGjh3LqlWrqF27NjVq1GDx4sWMGDGCypUrAzB79my6dOlC3759cXd359GjRxw9ehQdHR0ga7Z9woQJVK1alQYNGqCiosK2bdsAKFWqFIsXL2bVqlWYmprSoUOHf/z3CwQCgUAg+G8iUVIq9vZfRUmSHTwtEAgEAoFAIBCUAM8f3Cl2XTP7yp9RydeDCKcRCAQCgUAgEJQo/+XY9uIinHiBQCAQCAQCQYkistMUHeHECwQCgUAgEAhKFDETX3REjwkEAoFAIBAIBF8ZYiZeIBAIBAKBQFCiiHCaoiOceIFAIBAIBAJBiSLCaYqO6DGBQCAQCAQCQYkiQanYW3FYvnw51tbWlClThmrVqnH27Nl87U+fPk21atUoU6YMNjY2rFy5Us5m9+7dODs7o6amhrOzM3v27CmWtsIinHiBQCAQCAQCQYnyb77safv27YwcOZKJEycSGBhI/fr1adWqFWFhYQrtnzx5QuvWralfvz6BgYH8/vvvjBgxgt27d0ttLl68SI8ePejbty83b96kb9++dO/encuXLxe7TwpCvOxJ8I8Q9jC4pCXki0VFp096scS/hZl95S9ep5l9ZZ49CilpGfliaedA+MN7JS2jQMwrOpe0hEJxSNWhpCXkS5v0EJ6EPippGQVibWvH/dDnJS0jXxxtzb74a8e8ojOn774paRkF0rCSOok3jpe0jHzRcm9aYvt+FPqk2HXtbK2LZF+rVi3c3d1ZsWKFtMzJyYmOHTvi6ekpZz9u3Dj2799PcHCOb/Pjjz9y8+ZNLl68CECPHj1ISkriyJEjUpuWLVuio6PD1q1bi/qTCoWYiRcIBAKBQCAQfLWkpqaSlJQks6Wmpiq0TUtL4/r16zRv3lymvHnz5ly4cEFhnYsXL8rZt2jRgmvXrpGenp6vTV5tfg6EEy8QCAQCgUAgKFEkKBd78/T0REtLS2ZTNKMOEBsbS0ZGBkZGRjLlRkZGREZGKqwTGRmp0P79+/fExsbma5NXm58DkZ1GIBAIBAKBQFCifEqKyQkTJjB69GiZMjU1tXzrKOWKpZdIJHJlBdnnLi9qm5+KcOIFAoFAIBAIBCXKpzjxampqBTrt2ejr66OioiI3Qx4dHS03k56NsbGxQvtSpUqhp6eXr01ebX4ORDiNQCAQCAQCgaBE+bdSTJYuXZpq1apx7NgxmfJjx45Rp04dhXU8PDzk7P39/alevTqqqqr52uTV5udAzMR/Zvr3709CQgJ79+6V+87Kyopnz57JlXt6ejJ+/HiePn2KtbU1BgYGhIaGUr58eamNq6srHTt2ZNq0adKyR48eMWvWLI4fP05UVBT6+vo4Ojry/fff06NHD+zs7BTuL5uGDRsSEBCAlZUVI0eOZOTIkTLfT5s2jb179xIUFFTUbsiX/YcOs9N3L6/i4rGyMGfooIFUqVwpT/ubt++was06noaFo6erS/cunWjXuqX0+6PHTzB34RK5eod8d1C6dOliadx3yI8dvvt4FZ+lcdigAVStlHfmkJu377JirQ9Pw8LR19WhR5eOtGvVQsYmJeU1azdu4dzFSySnvMbEyJAfB/ajVvVqxdL4T+gcPWEKN+/clatXq7o7s6ZOLJbG/QcPs9PXl7i4eCwtLBg6+Id8j/et23dYuXotz8LCso531860bd1Koe2p02fwnDMXj9q1mD65ePoA9h06InNODhs0kCqV8+vHO6xc4y09J3t06ShzTkLW8V63cRPnLlwmOSUFEyNDhgwcQK0axT/eXzq69apj8+tAtNwrU8bUkGtdhhG1/0T+derXwHnueMo5VyT1ZTSh89YQ5rVNxsa4U3Psp/2Cuq0Fb0LDCJmygKh9xc/yceDgQXbt9iUuLg5LSwt+HDyYypUr52l/6/ZtvFav5tmzMPT0dOnWpStt2rSWfn/u/Hm2b9/By4gI3r9/T4UKpnTu1JmmTb4ptkbIehS/bfMGjvod4nVKMvYOTgwZNgILS6t86104d4bNG72JjIjA2MSEb/sNxKNOPen3Rw7t58ih/URHRQFgYWlJj159qVajVpE1fi3XjkQi4cD2VZw9tps3r5OxrliZ3oMmYGphm2edl2Gh7Nu2nLDQYF7FRNB9wBiatusjY5OR8Z4D21dx+cxhkhJeoaWjT53G7WjddRDKykWbJ93lf4aNB4/zKiERGzMTRn3XFTdHO4W2sfGJLNzky/0nYYRHxtCjRSNG9+sqY/P+fQY++45y6MxlYuITsDAxYnivDni45j3+liT/5htbR48eTd++falevToeHh54eXkRFhbGjz/+CGSF57x48YINGzYAWZloli5dyujRoxk0aBAXL15k7dq1MllnfvnlFxo0aMBff/1Fhw4d2LdvH8ePH+fcuXP/2O8QTvy/zIwZMxg0aJBM2cfOOkBycjJz585l+vTpebZz5coVmjZtSqVKlVi2bBmOjo6kpKRw7949Vq5cSeXKlbl69SoZGRkAXLhwgS5duhASEoKmpiZAsR3cTyHgzDlWrF7H8KFDqOTsyKEjR/l92kzWLl+CoaGBnH1EZBSTps2kVYtmjBszirv37rNkxSq0tTSpXzfn7lZdXR3vVctk6hb39506e57la7wZ8eMgKjs7ctDPnwnT/mTdsoUY5aHx9+l/0rpFUyb8+gt37t1n8crVaGlq0qCuBwDp6emMnTwdbW0tpo7/DQN9XaJjXqGuXrZYGv8pndN+/433799L6yQlJTNoxK/S74tKwJmzrFy9huHDfqSSkxOH/PyYOHU6a1Ysy+N4RzJx6nRat2zO+DGjuRsczJLlK9HS0pI53gBR0dGsXutN5XxuWgrDqQ/n5Iihgz+ck/5MmDaTtcsX59mPE6f9QesWzRg/ZiR3791n8QovtLS0ch3vaWhraTFlwm8Y6OsRHROLetniH++vARUNdZJuhfB8vS/Vdi4t0L6slRk1DngRvnYnQf1+Q6eOO5WXTCUtJo7IPf4AaNd2xW3LAh5MXUTkvuMYd2iK+9aFXGzUm4Qrt4qs8fTpM6zyWs1Pw4ZRydmJw0f8mDRlKl4rV2BoaChnHxkZyeQpU2nVsiVjx4zh7r1gli1fjpaWFvXq1QWyxvCePXtgbmZGKVVVrly+wvwFC9DW1qJ6teI7nr67trFvzy5+GT0W0wpm7Ni2iSkTx7Lcywd1dXWFde4H3+Xv2TPp03cAtevU49KFc/ztOQPPvxfh4OgEgJ6+Pt8NGISJiSkAJ0/4M2vmFBYsWVXgDcLHfE3XztE9Phw/sIn+w6djZGLJoV2rWTD9R2Yu3UuZshoK66SlvsPAyIxqdZqxY908hTZ+e3w4fXQXA4bPwNTClmeP7uKzdBpl1cvTpG3vQus7dvE68zfsYuz3PXBxsGXP8XOMnL2M7XMnY6yvK6/t/Xt0NMsxoGNLth4+qbDNFTsO4HfuCr8P6o2VqTEXb91j7PzVrJn+Kw7W5oXW9v9Ijx49ePXqFTNmzCAiIoLKlStz+PBhLC0tAYiIiJDJGW9tbc3hw4cZNWoUy5Ytw9TUlMWLF9OlSxepTZ06ddi2bRuTJk1i8uTJ2Nrasn37dmrVKvrNcWERTvy/TPny5TE2Ns7XZvjw4cyfP5+ffvpJ4T8ViURC//79sbe35/z58zJ3+25ubvTp00duMYWubtYgYGhoiLa29uf5McVg9959tGzWlNYtmgEwbPAPXLsRxIHDfgzs31fO/uARPwwMDBg2+AcALM3NefDwETt998k4dUpKoKuj81k07tp7gFbNvqFNi6x8uT8N+j5L45Gj/NDvWzn7A37+GBro89Og7z9oNOPBo1B27Nkv/cfkd/wkSSkpLP57FqVKZV12RgqObUnr1Mx1Q3nqzHnKqKnRsF7xHgfu3rOPls2b0qpFVtqtoYMHce16IAcOH2Zg/35y9ocO+2FoYMDQwVk3uhYWWcd7l+8emeOdkZHB7L/n0bdPL+7cvUfK69fF0gewe+9+WjZr8tE5OZBrNwI5cNiPHxSek0cxNNBn2OCBwMfn5N6c433sBMnJySz+2/OzHe+vgZijZ4g5eqbQ9paDe/IuLIJ7v84CIOX+Y7SqVcFm9PdSJ956eD9ij18gdI4XAKFzvNBtUBOr4f0I6vtrkTX67tlDi+bNadUy6wnUj0MGc/3GdQ4eOsz3A/rL2R86fBhDQwN+HDIYAAsLCx4+fMguX1+pE+9StapMnY4dO3DsxAnu3r1XbCdeIpFwYK8v3Xr2xqNufQBG/jqOfr27cibgBC1bt1NYb/9eX1zdqtG1R5YD2bVHb+7cucWBfbtxcJwEQM1astdz334D8Tt0gJD794rkxH8t145EIuH4wS207jIQ99pNABgwYiZjBjTh8pkjNGzRVWE9q4qVsKqYNWu9Z+NihTaPQ27hWrMhVatnHSN9Q1OunPPjaWjRcutvOXSC9o096PhN1jk1ul9XLt26x+5jZ/mpVwc5e1MDPX7t1w2AAwEXFbZ55OwVBnRqQV23rKdMXZs14NKtYDYfOsGMn/sXSd+/gUTy783EAwwbNoxhw4Yp/M7Hx0eurGHDhty4cSPfNrt27UrXrorPp38CERP/BdKrVy/s7OyYMWOGwu+DgoIIDg5mzJgxeT6u+ydXQxeX9PR0HjwKpZqbq0x5NTdX7t6/r7BO8P0QOfvq7m48ePRIZsb47dt39BkwiF79BjJp+h88Cn38SRqry2l04W6w4hca3bsfQjU3F5myGu6uPHgUKtV44fJVnB0dWLxyNV36fs/An0ayecdu6ZOSL0Vnbo4cO0HjBnUpW6ZMsTQ+fPQIdzc3WY3ubtwLVny8792/TzV3efsHD2WP9+at29HS0pLeHBSXvPvRlXt5nJP38jwnc/rxYvbxXuFF12/788OwEWzZsavYx/v/Fe3arsQcPy9TFuN/Fq1qlVH64MDp1HYl9rjs4+jYY2fR8ZA9TwqD9JzMdY65u7nLvMTlY4KD7+Pu5i5TVq2aOw8fPlR43UgkEgKDgnj+/DlV8gnRKYioyAji4+Nwc68uLVNVLU2lKi7cD5YPecsm5P49XD+qA+DmXp379xTXycjI4Mzpk7x79w4Hp8I/1fqarp3YqBckJcTi7JrzRFFVtTT2larxOORmsdsFsHNy5f6tK0S9zApdDX8SwqPgIKq41y10G+nv33P/STi1qjrJlNeq6sStB8X7XwZZs/WlP8RrZ1NGVZWbIaHFbvOf5N+Kif9/Qjjx/zLjxo2jXLlyMltAQICMjZKSErNnz8bLy4vQUPmL7cGDBwA4OOS8NTE6OlqmzeXLl3+yrlmzZhX9B+ZDYlIymZmZ6Ohoy5Tr6GgRHx+vsE5cfAI6Olq57LXJyMggMSkJAHMzM34bNYIZk3/n999GU1pVlZFjx/P8xcvia9TOtU9tbeISEvLWmOvpho621geNyUDWY+Qz5y+SkZmJ59SJ9OnRlZ1797N5x24FLZaczo+5/+AhT56F0bp58d7gl5SU9EGj/D7j4xVrjI9PUPibPj7ed+/dw8//GKOG/1wsXR+T9zmpTVweGuPi4xXaf6wxIirreGdmZjJr2mT69OjGzj372LJj1ydr/n9CzUif1KhYmbK06Fcoq6pSWj/ryZqasT6pUa9kbFKjXqFmLB+uURB5npM62sTlMQbFKzreuc5JgNevX9Oxcxfatu/AlKnTGDb0R7mbhaKQPSZqacs+YdTW1slzvARIiI9DuxB1nj55TI/ObejaoSUrly5kwuTpWFhYFVrf13TtJCVknWOa2rJhKZraeiQmvFJUpdC07DSAGvVbMmV4J37sVoM/xvSiadve1KyveB2PIhKSUsjIzERPS1OmXFerPK8Sk/KoVTC1qzqx5dAJwiKiyczM5PKtYE5fv0VsQvHb/CcRTnzREeE0/zK//fYb/fv3lymrUKGCnF2LFi2oV68ekydPZsuWLQrb+ni2XU9PT7oAtVGjRqSlpX2yrsWLF3PmTP6PxlNTU+XeilZgbtZcnyWS/J8cKJF/blZnRwecHXNuaCo5OzH0l9HsO3iIn4bIrj8oNLn1SPIfJuRzw8o2kymRoKOlxeiffkRFRQV7O1texcWxw3cf3/XqXjyN/4DOjznsfwJrSwsc7SsWX19e+8xfZK6CD8cbJd68ecPsufMZOeJntHL9w/skjbn3WGBu3/zPyczMTLS1tRj181C54923V4/Ppvv/guyTMJvsfv+4XJFN7rKiUORcznlcNx+VlS1bluVLl/D27VuCbt7Ea/UajI2N5UJt8iLg1HFWLFkg/Tx5+qwPUoued1quDhK5y6qCmTkLl3qRkpLCxfNnWTTvL/6cM79Ijjx8mdfO5dOH2bTqD+nnnydmh8Io6MtPdACvnj/K5dOHGThqFqbmtoQ/CWHHurlo6RpQp3H7T2q7oP+NBfFrv678uXoL3X+dgZKSEhWM9GnX0IMDpxWH35Q0/2VnvLgIJ/5fRl9fHzs7xavNczN79mw8PDz47bffZMorVsxyqu7fv4+rqysAKioq0naz4wg/VVd2HH1+eHp6yi3AnTp1Kt/3kR9stTTLo6ysLDdLk5CQmGecvq6CWZ2EhERUVFTk4rezUVZWxqFiRV68jChQf14ac88Uxycmys3eyWqUneVKSJTVqKejQ6lSKqioqEhtLMzMiItPID09XZqiqqR1ZvPuXSoBZ8/TT8FxLCyampofjrf8PvPSqKOjLf+bso+3ZnmePQsjKiqaKdNnSr/PdgJatuvIOq8VmJqYFFpjfudk7icC2ejqyM9q5j4n9XR1UFEpJXu8zc2Ii48v1vH+fyU1KlZuRr20gS6Z6emkvUrIsomMRc1YX8ZGzVBXbga/MGSfk4qOX97npILjnZjw4ZzMuZFUVlbG1DRroaitrS1hYeFs37Gz0E58zVp1cHDICafIfpV7Qnwcurp60vLExIR81zVp6+gSHx8nU5aYkCA3O6+qqoqJadYEUkV7Bx4+DOHgPl+GDZd9YU5efMnXjkvNhljb54Qyvf/Ql0kJr9DWzTnfkhPj5Gbni8ru9Qtp2XkANetlZdgxs6xIXEwER3y9C+3Ea2uWQ0VZWW7WPT4pGV1Nxf/nCoOOZnnm/jqE1LR0ElNeY6CjxdKt+zA10Cu4cgnwb8fE/z8gwmm+YGrWrEnnzp0ZP368TLmbmxuOjo7MnTuXzMzMElKXxYQJE0hMTJTZJkyYoNBWVVUVeztbbuRKWXkjKIhKjo4K6zg5OsjZXw8Mwt7OLs+bFYlEQuiTJ8Va6Jqt8XqgbJzk9aBbVHJyUFjH2dGB60GyWTKuBQZhb2cr1VjJ2ZEXEZEyx+v5y5fo6eoUy6H7p3RmE3DuPGnp6TRt1LDI2j7WWNHOjhuBQTLlNwKDcHZSfLydHR0V2AdiXzHreJubm7Fq2RJWLFkk3WrXqolL1SqsWLIIA319he3mp9HezpbrQbn78SbOeZyTWf0oay93vJ2ceBkRIXu8XxT/eP+/knApCP0msossDZrVI/H6HSQfYqTjLwWh30Q2vli/aT3iLwYWeX/Z52RgoGzdwMBAnJycFNZxcnKUs79xI5CKFSvmO2EiQSJ1xAuDuro6JqYVpJu5hSU6OroE3bgutUlPT+fu7Zs4OuWdItDB0ZmbgddlyoJuXMPRuYC0gpKi6f2Sr50yZTUwNLGQbibmNmhq63Pv5iWpzfv0dB7cvY6Ng0s+LRVMWuo7udlyZWVlJEX436xaqhSO1uZcuSW7luDK7ftUtbf5JH0AaqVVMdTVJiMjk1NXAmlYvXA3loIvH+HE/wMkJiYSFBQks2WnKkpOTiYyMlJmS0rKOz7tzz//5OTJk4SE5CxWVFJSwtvbm5CQEOrWrcv+/ft5+PChNL1kTEyMzCzGP4mamhqampoyW37hNF06duCI/3H8/I/zLDycFavXEh0TS9vWWZki1vps5K95C6X2bVu1JDo6hpWr1/EsPBw//+P4HTtOt845q/U3btnG1euBRERG8ujxY+YtWkro4ye0zZWnvbB07diOw8dOcOTYCZ6FP2f5am+iY2Jp1yprEeWa9ZuYPT8nU0G7ls2Jjo5h+RpvnoU/58ixExw5dpLunXJmYdq3akFScjLLVq8j/MVLLl29zpadvnTIlR+5pHVmc+TYSerWronWJ8wCAXTp1AE//2P4+R8jLCycFV5riI6JkeZ9X+uznjnzckII2rRuSVR0NCtXryUsLPxD3eN07dwJyEobam1lKbOV09CgbNmyWFtZFstB7tKxPUf8j3Pkwzm5fPW6rH78cE6u8dnI7HmLpPZtW7UgOjqGFR/OySP+x/E7doJunTtKbdq1bpl1vL3W8vzFCy5dvcaWnbtp36bwcbJfIyoa6mi6OKLpkuXEqVuboeniSBnzrKcjDn+MxsX7L6n9M69tlLU0xenv8ZRztMGsfxfMB3Th8fx1UpunSzeg36wuNmMGoeFgg82YQeg38eDpkvXF0ti5Uyf8jvpz1N+fsLAwVnl5ER0TQ5vWWXnf13n78PfcnHSCbVq3Jio6mlVeqwkLC+Oof1bdrp07S222bd/BjRuBREREEB4ezm7fPZw4cZJvGjculkbIGufbdezMrh1buHjhHM+ePmHx/DmUVitDg0ZNpHYL5s5mg/ca6ed2HToTeOMau3du5Xl4GLt3buVm0A3adchJhbfRZw1379wiKiqSp08es3H9Wu7cvknDj9otDF/LtaOkpETTtr05snstgZdO8uLZI3yWTqG0WhlqNchpd92iSfhuyhkz36enE/4khPAnIbx/n05CXDThT0KIjshJPVi1RgMO71rLrWtniY1+SeClkxw7sAm3WkV7R0DvNk3Yd+oC+09d4MmLSOZv2EVkbBydm2bl91+2dR9Tl8ue8w+ehvPgaThv3qUSn5zMg6fhPH6e8wT6zqMnnLoSxIuoWALvP2LE7KVkSiT0bdesSNr+LTJRKvb2X0WE0/wDBAQE4JYrI0e/flnp9KZMmcKUKVNkvhsyZAgrV65U2Ja9vT3ff/89Xl5eMuW1a9fm+vXrzJo1i59++onIyEg0NDRwcXFhwYIFfP/995/xF30+GjWoR1JyEpu2bScuLh4rSwv+nDZZmkLsVXwc0TExUnsTYyP+mDaZlWvWsf/QYfT0dBk2+AeZdIMpr1+zcOly4uPj0dDQwNbGmvmz/8TRwb5YGhvXr0tSUjIbt+2UavSc+nuOxrh4omNyHuWbGBsxa+pElq/xZv8hP/R0dfl58PcyudUNDfT5a8YUVqzxZtDw0ejr6dK5XRt6dulYLI3/lE6A8BcvuXMvmL9myJ6nxaFRg/okJSWzeev2Dy/WseSP6VOkGuPi4nMdb2P+nD6VlavXcODgIXT1dBk2ZJBcjvjPSeMG9UhKTmbTth3Sfpw1bVKOxvjcGo34c9okVqzxZv+hI+jp6fLT4IEKjvdUlq/xZtDPo7KOd/u29OjS6R/7HV8CWtUq43Fio/Sz89zfAQjf4MutgRNQMzGgrHlOuNPbp8+52m4wzvMmYDm0D6kvo7k76k9pekmA+IuBBPYZjcP0kThMH8Gb0HACe48qVo54gIYNG5CUnMTmLVuJj4vD0sqSmdOnY2SUfbxlxyBjY2NmzpjOKq/VHDx4EF09PYYOGSJNLwnw7t07li5fTmxsLKVLl8bc3IyxY8bQsGGDYmnMpnPXnqSlprFq2SJSPrzsafoff8nkiI+NiUZZOceJcXKuxJjxk9i8wZstG30wNjHlt/GTpTniARIS4lk4dzZxcXFoaGhgaW3D1BmeclltCuJrunZadOpPWloqm708efM6CeuKlRk5ZYVMjvi42EiUPsr4lhAfw8xfe0o/++/bgP++DdhXqsaYmVk3Tr1+GMe+LcvZ4jWL5KR4tHQMaNC8K227DS6SvmYe1UhMfs1a3yPEJiRha27CgnHDMPkQ+hKbkEhUrGwo0rcTZkv/vv8kjKPnr2Gir8u+JVnhhmlp71m54wAvomMpq6ZGHbdKTB/Wj/Iait8xUNKImPiioySRfMrqIIFAMWEPFadr+1KwqOjE8wd3SlpGgZjZV/7idZrZV+bZI8VpLb8ULO0cCH9YtLzNJYF5xU97cdW/xSFVxSFbXwpt0kN4EvqopGUUiLWtHfdDn5e0jHxxtDX74q8d84rOnL77pqRlFEjDSuok3ij+m4b/DbTci5eN7HNw40HxMwW523+Zcf7/NGImXiAQCAQCgUBQooiZ+KIjnHiBQCAQCAQCQYkistMUHbGwVSAQCAQCgUAg+MoQM/ECgUAgEAgEghJFhNMUHeHECwQCgUAgEAhKFBFOU3SEEy8QCAQCgUAgKFFK9tWVXyfCiRcIBAKBQCAQlChiJr7oCCdeIBAIBAKBQFCiiJj4oiNe9iQQCAQCgUAgKFEuBCcXu24dp/KfUcnXg5iJF/wjfA1v8Hx3zKekZRRImWb9eXdiQ0nLyJcyTb7j9QXfkpaRLxp1OvPmzI6SllEg6g26l7SEQvGlvw3V2tbui3+rLGS9WTY49EVJy8gXJ9sKX8d47u9d0jIKpEzzAey4+GVHfnf3KLnM4yKcpugIJ14gEAgEAoFAUKKIcJqiI5x4gUAgEAgEAkGJkimCu4uMcOIFAoFAIBAIBCWKmIkvOsKJFwgEAoFAIBCUKCImvuiU3AoGgUAgEAgEAoFAUCzETHwu+vfvz/r16wEoVaoUurq6VK1alV69etG/f3+UlbPue6ysrBg5ciQjR46UqT9r1iwmT57Mn3/+yfjx42W+8/HxYcCAATg6OhIcHCzz3Y4dO+jRoweWlpY8ffpUxj43ampqvHv3DiWl/O9a+/Xrh4+PT552W7dupWfPngQEBNC4cWNpua6uLi4uLsycOZO6devmu4/isP/gYXb6+hIXF4+lhQVDB/9AlcqV8rS/dfsOK1ev5VlYGHq6unTv2pm2rVsptD11+gyec+biUbsW0ydPLLbG7Weu43PiMrGJKdiaGDC2S1Pc7cwV2t4IDWfRvlM8iXzFu/T3mOhq0rWuG32/qSm1OR4UwtqjFwiPjSc9IxNLAx36NqlJu5pViq0RYPvpa/gcv5Sjs1sz3O0sFOt8FM6ivSd5EvWKd2npmOhq0bWeG32b1JLa7D4XyIHLt3n0MgYAZwtjhndoRBWrCsXWuOPkRTYcOUtsQjI2FQwZ07st7vbWCm1PXLvDrlOXCQmLIP39e2wqGDKkQ1PqVLGXsUt+85alu/05df0uSa/fYmqgw+gerann4lg8jacus/7ouax+NDVkTI9WuNtbKdZ44y47A64SEh5B+vsMbEwN+bFdY+pUrihjt/n4BXYGXCEyLhHtcuo0rVaJ4Z2boaaqWiyNXwsHDh5k125f4uLisLS04MfBg6lcuXKe9rdu38Zr9WqePQtDT0+Xbl260qZNa+n3586fZ/v2HbyMiOD9+/dUqGBK506dadrkm2Lp061XHZtfB6LlXpkypoZc6zKMqP0n8q9TvwbOc8dTzrkiqS+jCZ23hjCvbTI2xp2aYz/tF9RtLXgTGkbIlAVE7TteLI3ZSCQStm1ej7/fIV6nJFPRwYkhw0ZgYan4+snmwrkzbNnoTWTES4xNTPm23/fUrlNf+v2RQ/vwO3SA6KhIACwsrejeqy/VatTKq8k8+TrG8xtZ43lSCrYm+oztXNB4HpA1Tqa/x0RHk651XeXHc/+LsuP5NzVpVzPv87wwSCQSTu1dxrXTO3j7Ogkzm6q0/W4yRhUq5lnn7jV/zhz0Ii4qjIyM9+gZWVK3ZX9c63aQ2pw+6EXw9WPERDxGVbUM5nZuNO/+KwYm+Z9H/zYi4XnREU68Alq2bIm3tzcZGRlERUXh5+fHL7/8wq5du9i/fz+lSuXdbd7e3owdO5Z169bJOfEAGhoaREdHc/HiRTw8PKTl69atw8JC3vnS1NQkJEQ2vVe2Ux4RESEt2759O1OmTJGxLVu2rIyuli1byrSjra0t8zkkJARNTU1iYmL4448/aNOmDQ8ePMDQ0DDP31tUAs6cZeXqNQwf9iOVnJw45OfHxKnTWbNiGYaGBnL2EZGRTJw6ndYtmzN+zGjuBgezZPlKtLS0qF+3joxtVHQ0q9d6U7mS8ydp9Lt+jzm7jzOxRwtcbczYdS6QYcu3s2fSIEx0teTsy5ZWpWeDalSsYEjZ0qoEhj5n5jY/ypZWpWs9NwC01MvwQ8s6WBvpoaqiwpk7j5i66RC65TSo62xTPJ3X7jFn1zEm9myJq405u87dYNiybeyZPESxTjVVejasnqVTTZXAR+HM3HqEsmqqdK3nDsC1h89oVd0ZFxsz1FRL4X3sIkOXbGX35MEYaWsWWePRy7eYu+UQE/p2wKWiJbsDLjN8vg+7/hyFiZ62nP2NB0+oVcmOn7s0p7x6Wfadu87IRRvYMHkYjpamAKS/f8/Qv9eiq1mOOT/1xlBHi6i4RDTKqBVZH8DRq7f5e/sRJvRpi6udBbtPX+PnxRvZPX14HhqfUdvZluGdmlJOvSz7z9/gl6Wb2fj7YBwtsjQevnSTxbuPMa1/R1xsLXgW9Yop3llpOMf0aC3X5v8Lp0+fYZXXan4aNoxKzk4cPuLHpClT8Vq5QuE4EhkZyeQpU2nVsiVjx4zh7r1gli1fjpaWFvXqZU0glC9fnp49e2BuZkYpVVWuXL7C/AUL0NbWonq1akXWqKKhTtKtEJ6v96XazqUF2pe1MqPGAS/C1+4kqN9v6NRxp/KSqaTFxBG5xx8A7dquuG1ZwIOpi4jcdxzjDk1x37qQi416k3DlVpE1ZrNn1zb279nFiNFjMa1gzs5tm5g6cSzLvdZTVl1dYZ37wXeZO3sGvft+T+069bh04Rx/e87A8+/F2Ds6AaCnb0DfAT9gYpJ1c37qhD+eMyczf8mqAm8QPubrGM+DmeN7nIndW+BqU4Fd54MYtmIHeyb+UMB4bpA1nj9+zsxtRymrVpqudV0B0NIoww8tPHLG87uPmLr5ELrl1anrVLzxHODs4TVcOOpDpx9moW9sRcD+laz/eyC/eB5BrayGwjrqGto0bDcEfRMbSpVSJSQogD1rJ6KhqUfFKvUAeHr/KjW/6U0Fm8pkZmRwfPdC1s8dyIhZBymtpvg8KgkyRUx8kRHhNApQU1PD2NiYChUq4O7uzu+//86+ffs4cuQIPj4+edY7ffo0b9++ZcaMGbx+/ZozZ87I2ZQqVYrevXuzbt06adnz588JCAigd+/ecvZKSkoYGxvLbEZGRgAyZVpaWnK2Wlo5A5S2trZcO2XKlJHZl6GhIcbGxlSpUoVJkyaRmJjI5cuXi9p9+bJ7zz5aNm9KqxbNsbAwZ+jgQRjo63Pg8GGF9ocO+2FoYMDQwYOwsDCnVYvmtGjWlF2+e2TsMjIymP33PPr26YWJsfEnadx48gqdPFzoXMcVG2N9xnZthrGOJjvOBiq0dzI3plX1StiZGFBBT5u2NStTx8maG6HhUpsa9pY0cXHAxlgfcwMd+jSuQUVTQwIfhytss3A6L9Opjiud67phY6LP2G7NMdbWZMeZG3nrrFEJO9MPOmtVoY6TDTce5WjwHNCRHg2r42hujLWxPlP7tCFTIuHK/afF0rjZ/ywdG1SnU8Ma2Jga8lvvdhjparHr5CWF9r/1bkf/1g2pZGOOhbE+w7u2wMJIjzNBOU+u9p29TtLrt8wb3hfXilaY6uvgZm+FvYVJsTRuOnaBjvXc6Vy/OjYmhvzWszXGOprsPH1Fscaerenfsj6VrM2wNNJjeOdmWBjqcvpmzg30rcfhuNpZ0KqWC6b6OnhUsqNlzSrce/qyWBq/Fnz37KFF8+a0atkCCwsLfhwyGAMDfQ4eyuv6PoyhoQE/DhmMhYUFrVq2oHmzZuzyzXnvgEvVqtStUwcLCwtMTUzo2LED1tbW3L17r1gaY46e4cHUhUTuPVYoe8vBPXkXFsG9X2eRcv8x4et2Ee7ji83o76U21sP7EXv8AqFzvHgd8pjQOV7EnryE1fB+xdIIWbOyB/buplvPPnjUbYCllTW//DqO1NR3nAnI+8nBgb27cXWrTtcevTEzt6Brj95UdXXnwL5dUpuatepQvUZtKpiZU8HMnG/7DaRMmbKE3A/Os11FfBXj+ans8dwlazzv0jRrPD+X33junDOe16hMHcdc43nFXON5ow/jeejzYuuUSCRc9N9Ag3ZDqFS9OUZm9nQZNJv01HfcunQwz3rWTjVxrtYMQ1NbdA0t8Gj+HUbm9jx7cF1q02/Matzrd8KoQkVMLBzpPHAWia8iePn0brH1/hNIJErF3v6rCCe+kHzzzTe4uLjg65v3S23Wrl1Lr169UFVVpVevXqxdu1ah3cCBA9m+fTtv3rwBssJmWrZsKXXOS5o3b97g7Z314gzVz/joPz09nYePHuHu5iZTXs3djXvB9xXWuXf/PtXc5e0fPHzE+/fvpWWbt25HS0uLVi2af5rG9xkEh0fi4SQ7G+XhZM3NJ4UboIPDI7n5+AXVKyoOa5FIJFwOecrT6Diq2Sq2KZTOsAgFOm24+bgIOp88z1MnwLu0dN5nZKKpUTZPm7w1vif46UtqV5J9FOxRqSI3Q8MK1UZmZiZv3qXK7P904D2q2Fowe9M+mv7yJ90mLWTtwVNkZBb9JSrp798T/OwlHs52MuW1K9lxM7RwN1iZmZm8SU1D6yONrnYW3Hv2kjsfzpnnMXGcv/2AelXt82rmq0d6fee6Xt3d3OXCB7MJDr6Pu5u7TFm1au48fPhQ5vrORiKREBgUxPPnz6mST4jO50S7tisxx8/LlMX4n0WrWmWUPjyV1antSuzxczI2scfOouMh2xdFISoygvj4OFzdq0vLVFVLU7mKC/eD83a+Qu7fw9Vd9gmFm3t17t9TXCcjI4Ozp0/y7t07HJ0KP+v9VY3njlYy5R6OVtx8UriXbGWNky+onkeYosx4nkeITmGIj3lOSmIsdpVzQlhLqZbGyrEGYY8U33Ao0hJ67yKxEU+xcqiep927t1lvRi2rIf8koiSRSIq//VcR4TRFwNHRkVu3FD8aTUpKYvfu3Vy4cAGAb7/9lrp167JkyRI0NWXDEFxdXbG1tWXXrl307dsXHx8f5s+fz+PHj+XaTUxMpFy5cjJlderUwd/fv0jae/XqhYqKikzZrVu3sLHJefRnZmYGZDnxEomEatWq0aRJkyLtJz+SkpLIzMxEJ1cYj462FvHxCQrrxMcnoKOtlctem4yMDBKTktDT1eXuvXv4+R9jxZJFn6wxPuUNGZkS9MrLPrrUK69BbNLrfOs2m7Q0q35GJj+2rkfnOq4y3ye/fUeziUtJf5+BsrISv/doIeeEF12n7Lmhp6lBbFJK/jp/X5yjs019OtfN29FYtPcUhtrlqe1YdJ0JyW/IyMxET1NWo65WOV7dKdzrtTcePcfb1DSa16wqLXsRE8/V4Me08nBl8aj+hEfFMnvjPjIyMhncoWjna1Y/ZqKbS6Ne+XK8SiykxmMXsjRWz3EqW9asSnzyGwb8tQaQ8D4jk26NavJ9qwZF0vc1kef1raNNXHy8wjrx8fHo6OSyz3V9A7x+/Zo+fb8jPT0dZWVlfv5pmNzNwj+FmpE+qVGxMmVp0a9QVlWltL4OqZExqBnrkxr1SsYmNeoVasbyISWFJSE+DgBtbR2Zci1tHWKio/Ktp6Wtm6uOLvG5jsHTJ48Z/+vPpKWlUaZsWcZPno65hVWh9X0V4/nrTxjPJy/LNZ67yHyf/PYdzSYtyxnPuzfHoxjjZDYpiVnnWDlNfZnycpp6JLzK/wneuzfJ/D2qEe/fp6GspEzb76bI3Ax8jEQi4cjWv7C0r4aR2Zc1qSBSTBYd4cQXAYlEkuci0S1btmBjY4OLS9aF7urqio2NDdu2bWPw4MFy9t9//z3e3t5YWFiQkpJC69atWbpUPj6zfPny3LghGx7xcax7YVmwYAFNmzaVKTM3l501OHv2LBoaGgQGBjJu3Dh8fHwKnIlPTU0lNTVVpkxNLf/Y5Nx9KJFAvteuXJ9n3XYrocSbN2+YPXc+I0f8jJZW0WO289xl7j1KJPIycuE98lvepqZx6+lLFu07hYWBDq2q5yzw0lBTY8eE73mTms7lkKfM8z2BmZ42Newti68zl6b8zlGpztHfZel88uKDTl1a1ZBfiObtf5Ej1+6yduS3qKl+wlAhpzHr2BWE36UgVu09zoIR38k42ZmSTHQ1NZjUvxMqyso4W1UgJiGJDUfOFtmJl0rMrZGC+xHgyOVbrNx/kgU/9ZHReC3kCWsPn2ZCn7ZUsTYjPDqOv7cfxkurHIPbNs6nxf8D5K7vgvpSwXiQq7Rs2bIsX7qEt2/fEnTzJl6r12BsbIxL1ar8K+Se6sv+PR+XK7IpwhTh6VPHWbFkvvTzpOmesvv6aD8FnZvyX8uPXxXMzFmwdDWvU1K4eP4Mi+f9xZ9zFhTJkc/a11cwnufWWIBEAO9f+vA2LY1bT16yaH8AFvo6tKqe86RCQ02NHeO/501qWtZ4vuckZvra1KhYuPH85oUD7F8/Tfr521ErPmiVtZMU2KFQuowGw2b4kvbuDY/vXcJv61/oGphj7VRTzvbgxplEhYfww8TNhdL5Xyc+Pp4RI0awf/9+ANq3b8+SJUvk1hRmk56ezqRJkzh8+DCPHz9GS0uLpk2bMnv2bExNTaV2jRo14vTp0zJ1e/TowbZt23I3mS/CiS8CwcHBWFsrvtNet24dd+/elVn0mpmZydq1axU68X369GHs2LFMmzaN7777Ls/FssrKytjZ2Sn8rigYGxsX2I61tTXa2trY29vz7t07OnXqxJ07d/J1yj09PZk+fbpM2dSpUxnwbS85W01NTZSVleVm5RISE+Vmc7LR0dGWm9WJT0hERUUFTc3yPHsWRlRUNFOmz5R+L/nwj7Nlu46s81qBqUnhY6V1yqmjoqxEbLLsLE1cyhu52ZzcmOln/YaKFQx5lfyaFYfPyTjxyspKWBhkzZA5mhnxJPIVa/0vFsuJl+rMNesel1wMnYfOyDnx649dYu3R86wa0Rt7s+KFeWmXV0dFWZlXibIa45NS0NUql0etLI5evsUMb1/+GtabWpVkz1t9bU1KqSijopwTDWhtYkhsYjLp79+jms/C89xk9aO8xrjk13Kz83Iar95mxoa9zBnSg9rOtjLfLd97gja1XehcP+uRdkUzY96mpfHHxv380LqhNMvV/xPZ13fuGd+EhPyubx15+8SED9d3jhOnrKws/Qdoa2tLWFg423fs/Fec+NSoWLkZ9dIGumSmp5P2KiHLJjIWNWPZGVQ1Q125Gfz8qFmrDvYOTtLP6elpQNbMuq6unrQ8MTFBbnb+Y7R1dKWz+NI6CfFydVRVVTExzVrYamfvwMOHIRzY58uw4aMLpferGM818honX6OnWchx0vTDOHnknIwTnzWeZ/Wpo5kRT6Jesdb/UqGdeEe3bzCzzTl/37/POt7JibGU185ZBP46OY5yWnpy9T9GWVkZPaOs/ZpYOhETEcqZQ15yTvzBjX9wP+gUP0zYiJbup601+Cf4Et/Y2rt3b54/f46fnx8AgwcPpm/fvhw4cECh/Zs3b7hx4waTJ0/GxcWF+Ph4Ro4cSfv27bl27ZqM7aBBg5gxY4b0c3EmaIUTX0hOnjzJ7du3GTVqlNx3t2/f5tq1awQEBKCrm/MYMyEhgQYNGnDnzh25FGu6urq0b9+eHTt2sHLlyn9cf1Hp27cvM2bMYPny5Qp/czYTJkxg9GjZQV9NTY3I8KdytqqqqlS0s+NGYBD16uRk5rkRGIRHbfkZAwBnR0cuXbkqU3YjMBD7inaUKlUKc3MzVi1bIvO9z8ZNvH37VrrIqiiollLBydyYS/ef0MTFQVp+6f4TGlUp/KNHiURC+vuM/G0o2CZfnRYmXAp+QhPXnLSKl+4/oVER4q4V6fQ5dpHVR86zYngvKlma5lGzMBpL4WRlyuW7D/mmWs5NwqV7j2jk6pRnPb9LQUxft5tZP/akvoKUkS52lvhdCiIzM1PqDD+LjEVfu3yRHHipRktTLgWH8o17zj/oS/dCaeSad7rKI5dvMX39HjwHdaN+VQe579+lpaOca0pNWUkZiUTCF/h/6rOQfX0HBgZSt05OppHAwEBq166tsI6TkyOXL8suIL5xI5CKFSvmmwVMgoT09PTPI7wAEi4FYdhG9umJQbN6JF6/g+RDHHf8pSD0m9TlyaL1Uhv9pvWIv1i4WGaAsurqMhlnJBIJOjq6BN24jo1t1rqS9PR07ty+Sb8B8hND2Tg4OhMUeJ32nbpJy4JuXMfROe+0j9n7K0qffl3j+VPZ8TzkKY2q5J22MTcSstbP5GsjKdjmY9TKashknJFIJJTT0if07gVMLbPGovfv03h6/yrNu/9a6Haz23r/4SYw+/OhTX9w7/pxBo5fj46BWZHa+7f40haoBgcH4+fnx6VLl6hVKyv96urVq/Hw8CAkJAQHB/mxX0tLi2PHZBfNL1myhJo1axIWFiaThVBdXR3jT1y4LZx4BaSmphIZGSmTYtLT05O2bdvy3XffydmvXbuWmjVr0qCBfLyrh4cHa9euZcGCBXLf+fj4sHz5cvT08r7LlkgkREZGypUbGhoWaTYvISFBrp3y5cujoaF4NkJZWZmRI0fyxx9/MGTIENTzSGempqZWYPjMx3Tp1IE58xZgX9EOZ0dHDvkdJTomRponeK3Pel69imPsr1k3Dm1at2TfwUOsXL2W1i2ac+/+ffz8jzNh7BgASpcujbWV7MxHuQ+/KXd5Yen7TU0mbjiAs4UJLtYV2H0+iIi4JLrVz4rBXbQvgOjEZP78rh0A205fx1hXE2ujrOMYGPqcDSeu0KthzuKytUcv4GxhgrmBNunvMzl7N5SDl+8wsWeLYmnM0lmLiev34Wxpgou1GbvPBxIRn0i3+lkLBRftPUV0QjJ/9m//Qec1jHU0sf4wYxgYGs6G45fp1ShnAZS3/0WWHTzN7AEdMdXVIvbDDLW6WmnUy5QussY+zeszefUOnKzMqGpnge/pK0S+SqBL46wBcclOP6ITkpg5qDuQ5cBPWbOTMb3bUsXWgtgPcelqqqqUV8/KptStcS22n7jA31sO0rOpB2FRr1h3KICeTesoFlEA3zarw6S1u3G2NKWqrTm+Z64RGZdI14ZZjshiX3+i45P4Y2BXIMuBn+K9m996tKaKjblCjQ1cHNh07AIOFiZUsTYnPOYVK/adoKGLo8wThP83OnfqxN/z5lGxYkWcHB054udHdEwMbVpnpdVc5+3Dq1ev+G1MllPSpnVr9h84yCqv1bRq2YLg+/c56u/P+LFjpW1u274D+4oVMTEx5v3791y5eo0TJ07y808/FUujioY6Gh8tUlS3NkPTxZG0uETehUfg8MdoylQw4uaAcQA889qG5bA+OP09nvC1O9Cu7Yb5gC4EfpvjWD1duoHaJzdhM2YQUQdOYNSuCfpNPLjYSD7jWGFRUlKiXccu7NqxGdMKFTAxNWPX9s2oqZWhQaOcsLGFcz3R09On74BBALTr0Jnfx47Ed+dWatauy5VL57kZdB3PvxdL62z0WYN79ZroGxjy9s0bzp05xd3bN5kyY3aRNH4V43njmkzceABnC2PZ8fxD+t9F+wOyxsns8fzM9axxMns8f6xgPPe/iLOFMeb6OqS/z+DsvVAOXrnDxB7FH8+VlJTwaP4dZw54oWdkiZ6RJacPeqGqVoaqtdtK7XZ5jUNTx4jm3bImz04f9KKCVSV0DS3IeJ/Og1tnCLqwn3bfTZHWObhxBrcuHqL3L0spXUaD5ISs94CUUS+PamnZLHUlyacsUM0rtLco/kluLl68iJaWltSBB6hduzZaWlpcuHBBoROviMTERJSUlORCcDZv3symTZswMjKiVatWTJ06lfLlyxdJo3DiFeDn54eJiQmlSpVCR0cHFxcXFi9eTL9+/eQc57S0NDZt2sS4ceMUttWlSxc8PT3566+/5L4rW7ZsgY9PkpKSMFHw+DAiIqJId3CKXhrl6empMJd9Nt9//z1Tp05l6dKljP3on+qn0KhBfZKSktm8dfuHl8FY8sf0KRh9yCEdFxdPdEyM1N7E2Jg/p09l5eo1HDh4CF09XYYNGSSXU/hz0rKaM4mv3+J15DwxSSnYmRiwbFh3TD/kFI5NSiEyLklqnymRsHh/AC9eJVJKWRkzfW1+6dCIrh8tGH2bls6sHUeJSkhGTbUU1kZ6/NmvHS2rFT8HcsvqziS+foPX4XMf6eyJqd5HOuMTc3RmSli8L4AXrxKydBpo80vHxtIc8QA7zlwn/X0Gv67eLbOvH1vXZ2jboi/KbFGrKomvX7N6/wliE5OxrWDE4lH9MdXPegwdm5hM5IeQBIDdAVd4n5HJ7I37mb1xv7S8XV13pv+QNbNorKfNsl+/Z97WQ/SYvBhDHU16NatD/9YNi6wPoEWNKiSmvMHrYACxicnYmRqxZERfTD/kiI9NSCEyLqcfd5+5yvuMTDy3HMRzS07qt3Yebsz4vjMAP7RpiBJZYTXRCUnolNegQVUHfu4kuy7l/42GDRuQlJzE5i1biY+Lw9LKkpnTp2Nk9OH6jo+Tub6NjY2ZOWM6q7xWc/DgQXT19Bg6ZIg0RzzAu3fvWLp8ObGxsZQuXRpzczPGjhlDw4bFWySsVa0yHic2Sj87z/0dgPANvtwaOAE1EwPKmueMuW+fPudqu8E4z5uA5dA+pL6M5u6oP6U54gHiLwYS2Gc0DtNH4jB9BG9CwwnsPeqTcsQDdOrak9TUVFYtW0RKSjL2Dk5M+2OOzIx9TEw0Sh/9X3J0rsyY8ZPZvGEdWzZ6Y2xiypjxk6U54gESEuJZONeT+Lg4NDQ0sLS2YcqM2TKZcArD1zGeO2WN537niUl6jZ2JPsuGdssZzxNTiIzPNZ4fOC07nrdvqGA895cdz79rR8tqeT9hLAz1W//A+7RUDmyYwbvXSZjZVqXfmDUyM/aJryJQVso53umpbziwcQZJcVGoli6Dvok1XQf/RZVaOe+juHIyK8563WzZlKedBs7CvX6nT9L8OfmUPPF5hfZOmzat2G1GRkYqfL+FoaGhwslVRbx7947x48fTu3dvmRDBPn36YG1tjbGxMXfu3GHChAncvHlTbha/IJQkkv9ych7BP8WzRyEFG5UglnYOvDvmU9IyCqRMs/68O7GhpGXkS5km3/H6Qt6pV78ENOp05s2ZHSUto0DUG3QvaQmF4knoo5KWkC/WtnYcUi3cLFlJ0iY9hODQwqU6LCmcbCt8HeO5v3dJyyiQMs0HsONi0VPh/pt09yi5J4UHrhc+HCk3zStnFHomftq0aXIOf26uXr2Kv78/69evl3vhZsWKFRk4cGC+k6CQFf7WrVs3wsLCCAgIkMtU+DHXr1+nevXqXL9+HXd39zztciNm4gUCgUAgEAgEXy1FCZ35+eef6dmzZ742VlZW3Lp1i6go+XSuMTExBb7XJz09ne7du/PkyRNOnjyZrwMP4O7ujqqqKg8fPhROvEAgEAgEAoHg6+HfWtiqr6+PfiEWSXt4eJCYmMiVK1eoWTNrjdTly5dJTEykTp28Q8CyHfiHDx9y6tSpfNc9ZnP37l3S09MVhk/nx//vCiuBQCAQCAQCwVdBpqT42z+Bk5MTLVu2ZNCgQVy6dIlLly4xaNAg2rZtK7Oo1dHRkT179gDw/v17unbtyrVr19i8eTMZGRlERkYSGRlJWlpWxqDQ0FBmzJjBtWvXePr0KYcPH6Zbt264ublRt67il3TlhZiJFwgEAoFAIBCUKF/iCs3NmzczYsQImjdvDmS97Cn3izlDQkJITMxKfvD8+XPpi6FcXV1l7E6dOkWjRo0oXbo0J06cYNGiRaSkpGBubk6bNm2YOnUqKioqRdInnHiBQCAQCAQCQYki+YTsNP8Uurq6bNq0KV+bj/PDWFlZUVC+GHNzc7m3tRYX4cQLBAKBQCAQCEqUL/GNrV86IiZeIBAIBAKBQCD4yhB54gUCgUAgEAgEJcrOS8XPod+t9n9zTlqE0wj+EcIeBpe0hHyxqOjEg9CwkpZRIPa2FjwMfVbSMvKloq3lF9+X9rYWX7xGyNL5NXA/9HlJS8gXR1uzL/4lSpD1IqUv/aVUbdJDCH94r6Rl5It5RWfibp8raRkFolulHpfuJxZsWILUdtQqsX2LKeWiI5x4gUAgEAgEAkGJkvkv5Yn/f0I48QKBQCAQCASCEkXMxBcd4cQLBAKBQCAQCEoU4cQXnf/mSgCBQCAQCAQCgeArRszECwQCgUAgEAhKFJEnvugIJ14gEAgEAoFAUKJIxMLWIiOc+BKif//+rF+/HoBSpUqhq6tL1apV6dWrF/3790dZOSvSycrKimfP5FMMenp6Mn78eJ4+fYq1tbW0XFtbmypVqjBz5kwaNmyIklL+F0W/fv3w8fFBSUmJPXv20LFjRzmdCQkJ7N2799N+8EfsP3SYnb57eRUXj5WFOUMHDaRK5Up52t+8fYdVa9bxNCwcPV1dunfpRLvWLaXfHz1+grkLl8jVO+S7g9KlSxdbp0QiYevmjRz1O0RKSgr2Do78OGw4lpZW+dY7f+4smzf6EBERgYmJCX37DcCjTj3p93du38J3905CHz0gLi6O3ydNw6NO3WJr3LJ5I0f9Dks1Dh32c6E0btq4/iON/anzkUaAQwf347t7J3FxcVhYWjJo8FAqV65SLI1fej9+TTq/dCQSCds2b+Co3yFepyRj7+DEkGEjsCigHy+cO8Pmjd5ERkRgbGLCt/0GyvTjkUP7OXJoP9FRUQBYWFrSo1dfqtWo9Qk61+P/QWdFqU7rfOtdOHeGLRu9iYx4ibGJKd/2+57adep/pHMffocOEB0V+UGnFd2LqFO3XnVsfh2Ilntlypgacq3LMKL2n8i/Tv0aOM8dTznniqS+jCZ03hrCvLbJ2Bh3ao79tF9Qt7XgTWgYIVMWELXveKF1KWLfoSMy4/mwQQOpUtk5T/ubt++wco23dDzv0aWjzHgOkJLymnUbN3HuwmWSU1IwMTJkyMAB1KpRrVgad/udZPP+o7yKT8DavAIj+/fE1dleoW1sfAKL1+8g5PFTwiOi6da6CaMG9JKxOXTqHH8s85arG7BlJWqlVYulEbLOyb3bVhNwdC+vXydja1+JvkN+w8zCNs86z8NC2bPFi6eh94mNjqD3wFG0aC+r98SRXZw84ktsdAQAFSys6dDjB1yq1Sm21n8CERNfdERMfAnSsmVLIiIiePr0KUeOHKFx48b88ssvtG3blvfv30vtZsyYQUREhMw2fPhwmbaOHz9OREQEp0+fRlNTk9atW/PkyROZOgsXLkRTU1OmbNGiRf/qbw44c44Vq9fRq3s3ViyeT+VKzvw+bSbR0TEK7SMio5g0bSaVKzmzYvF8enXvynKvNZw9f0HGTl1dne0bvWW2T3HgAXbv2s7ePbsZMvRn5i9cio6OLlMmjuPNmzd51rkffI85s/+g8TdNWbxsJY2/acpfnn8Qcj8nb/67d++wtrZhyNCfP0lflsYd7N3jy49Df2b+wiXo6OgweeL4fDUGB9/jr9l/0vibJixZtoLG3zThL88/ZTSeOR3Aaq+VdO/Rm8VLVlCpUhWmTZlIdHR0MTR++f34Nen80vHdtY19e3YxZOhw5i5cjraODlMmji2gH+/y9+yZNP6mGYuWedH4m2b87TlDph/19PX5bsAg5i1azrxFy6ni4sasmVMIe/a0WDr37NrG/j27GDx0OH8vXIGOji5TJ47lbQE6586eQaNvmrFw2WoafdD5QEanAX0H/MDcRSuYu2gFVVzc8Jw5mbBnTwqtTUVDnaRbIdz9ZUah7MtamVHjgBdx565zrkZHHv21kkoLJmLcqbnURru2K25bFvBi8z7OVuvAi837cN+6EO2aVQutKzenPoznvbt3ZeXieVSp5MyEaTOJymc8nzjtD6pUcmbl4nn07t6FZV5rOXP+otQmPT2dsZOnERkVw5QJv+Gzaimjhg9DX0+3WBqPn7/CQp9t9O/chvV/T8XFqSKjZy0kMuaVQvv09PfoaJajX+e22Fma5dmuhnpZDq6eL7N9igMPcNh3A377ttJ3yG9Mm+uDlrYef08Zzts3r/Osk5aaioFRBbr1/QktHT2FNrp6RnT/7iemz/Nh+jwfnKtUZ9GsMTwPC/0kvZ+bTEnxt/8qwokvQdTU1DA2NqZChQq4u7vz+++/s2/fPo4cOYKPj4/Urnz58hgbG8tsGhoaMm3p6elhbGxM1apVWbVqFW/evMHf31+mjpaWFkpKSnJl/ya79+6jZbOmtG7RDEtzc4YN/gEDfX0OHPZTaH/wiB8GBgYMG/wDlubmtG7RjBZNm7DTd5+MnZIS6OroyGyfgkQiYf/ePXTv2Ys6detjaWXNqF9/IzU1ldMBJ/Ost2+vL65u1ejWoxfm5hZ069ELF1c39u/zldpUr1GTvv0GUKdu/TzbKazGfXv30KNnL+rUrYeVlTWjC6Fx/949uLm50/2Dxu4fNO7bt0dqs3fPbpo1b0mLlq0wt7Bg8JCh6BsYcPjQgSJr/NL78WvS+aUjkUg4sNeXbj174/GhH0f+Oo601HecCch7Jnn/h37s2qM3ZuYWdO3Rm6qu7hzYt1tqU7NWHarXqEUFM3MqmJnTt99AypQpS8j9or+IKEvnbrr17INH3QZYWlnzy6/jSC1A54G9u3F1q65A565cOmtLdX4r1Vn4F+DFHD3Dg6kLidx7rFD2loN78i4sgnu/ziLl/mPC1+0i3McXm9HfS22sh/cj9vgFQud48TrkMaFzvIg9eQmr4f0KrSs3u/fup2WzJh+N5wMx1NfLZzw/iqGBPsMGD5SO5y2bfsNO371SG79jJ0hOTmbGpPFUdnbCyNCQKpWcsbXJ/wlJXmw94E+7b+rTvmkDrMxMGTWgF4Z6uvj6Byi0NzHUZ9T3vWndqA7l1NXzbFcJ0NPRktk+BYlEwtED22jfrT/VPRpjZmnLoJFTSUt7x6UzR/OsZ1PRmZ4DRlC7QXNUVRVPXLnVrI9L9boYV7DEuIIlXfsOo0wZdUJD7nySZkHJI5z4L4xvvvkGFxcXfH19CzbOA/UPA096evrnkvVZSE9P58GjUKq5ucqUV3Nz5e79+wrrBN8PkbOv7u7Gg0ePZJ5WvH37jj4DBtGr30AmTf+DR6GPP0lrVGQk8fFxuLlXl5apqpamcpWq3A/O22m4f/8ebu6yj3zd3KsTfO/zv/EwR2PO/rI1BhdRo7t7NanG9PR0Hj16iJu7u4yNm1u1fH97/hq/3H78mnR+6URFRijsx0pVXLgffDfPeiH37+H6UR3I6sf79xTXycjI4Mzpk7x79w4Hp7xDNwrS6Sp3vAujU/5456fz7AedjsXQWVi0a7sSc/y8TFmM/1m0qlVGqVRW1KxObVdij8u+1TT22Fl0PNyKtc/s8by6gvH8Xh7j+b08x/NQ6Xh+8fJVnB0dWLzCi67f9ueHYSPYsmMXGRkZxdD4npDHz6jpIhuuWcvFmdshj4rc3se8fZdKpx9/o/3gMfw6axEhjz/tzdoxUS9JjH9FZbfa0jJV1dI4VHLn4f1bn9T2x2RmZHDpjD+p795i51D08Mh/Eomk+Nt/FRET/wXi6OjIrVs5F+24ceOYNGmSjM3Bgwdp1KiRXN3Xr18zYcIEVFRUaNiwYZH226tXL1RUVGTKUlNTadOmTZ51UlNTSU1NlSlTU1NTaJuYlExmZiY6Otoy5To6WsTfiFdYJy4+geq5Zjh0dLTJyMggMSkJPV1dzM3M+G3UCKwtLXnz5g179h9k5NjxrFy8ELMKpnlqz4/4+Dgga43Bx2hr6xAdHZVnvYT4eLS1ZZ8CaGvrEB+v+Pd9Cjkac+9PO9+wl/gCNCYlJWUdp1w2Ojo63Cji7/ga+hG+Hp1fOtm/W0tBn+Tfj3GF6senTx4z7tfhpKWlUbZsWSZMno6FhVWRdSbkce1oaesQU4BOLW3ZsA4tbV2FOsf/+jNpaWmUKVuW8ZOnY14MnYVFzUif1KhYmbK06Fcoq6pSWl+H1MgY1Iz1SY2SDSFJjXqFmrFBsfaZ93iuTdyNBIV14uLj0dFxk7P/eDyPiIoi8NZtmjRqwKxpk3nx4iWLV3qRkZFB3149iqQxITmZjMxMdLU0ZfeppUVcQvFnoS0rmDDp5++xtTDj9Zu37Dh8nCGTZrNx3jTMTYyK1WZifNax0dSSPb80tXV59SGW/VMIf/qImeMGkv7hnBwxYQ4VLGw+ud3PyX/ZGS8uwon/ApFIJDILUn/77Tf69+8vY1OhQgWZz3Xq1EFZWZk3b95gYmKCj48PVaoU7S57wYIFNG3aVKZs3Lhx+c6AeHp6Mn36dJmyqVOn8n2fvAfb3EttJRLyXYCrlKuG5MOVnl3H2dEBZ0cH6feVnJ0Y+sto9h08xE9DBuXZ7scEnDrBsiULpZ+nTP9DZh8f77ugxcLyX0sUlBWdU6dOsGxJzhqGqVKNufZWQH9m1cn1uxRpVPjb89f4NfQjfD06v3QCTh1nxZIF0s+Tp88CituPBZ+TFczMWbjUi5SUFC6eP8uieX/x55z5BTryp08dZ8WS+dLPk6Z7Zu9U1vAzHe8KZuYsWLqa1ykpXDx/hsXz/uLPOQv+UUdezgPKFvVxuSKbT/Sc5Mfzgvow//E8MzMTbW0tRv08FBUVFeztbHkVF8cO331FduKle1RwzOSVF57K9rZUts9ZbFrV0Y7+Y2ew8/AJRg/sXag2LgT44bPCU/p59OQFH7QW/ZwsDCYVLJm5cBNvUpK5evEUqxdNZ8KfK78oR/6/HNteXIQT/wUSHBwsk3FGX18fOzu7fOts374dZ2dntLW10dNTvLilIIyNjeX2U758eRISEvKsM2HCBEaPHi1TpqamRlSYfDiLlmZ5lJWViYuXbS8hIVFuBjQbXR1thfYqKipoli+vsI6ysjIOFSvy4mXhZy9q1vLA3sFR+jk7FCk+Ph5d3Zz+TExMkJu9+xhtHfnZw4SE/OsUllq1PHAotEbtPNvR0dGRzjxL63ykUVNTE2VlZTmbwvyOr6EfvyadXzo1a9XBwcFJ+jm7HxPi44p0Tmrr6OZ7TmajqqqKiWnWBEZFewcePgzh4D5fhg2XHYMU6bSX0ZmWj878jreudBY/R6f805iPddp90HmgEDqLS2pUrNyMemkDXTLT00l7lZBlExmLmrG+jI2aoa7cDH5hyW8819FWHB+uq/B6kR3P9XR1UFEpJfNU2MLcjLj4eNLT01FVLfziUe3y5VFRVuZVQpJMeXxiErramnnUKjrKyso42VoRHpH3U5zcuNWsj61DTphP9jmZmPAKbd2c45SUGI+mdvEW9X5MKVVVjEzMAbCu6MyTh/fwP7idAcMmfHLbnwsxE190REz8F8bJkye5ffs2Xbp0KVI9c3NzbG1ti+3AFxc1NTU0NTVltrzCaVRVVbG3s+VGUJBM+Y2gICo5Oiqs4+ToIGd/PTAIezs7SpVSfA8qkUgIffKkSItb1dXVMTWtIN0sLCzR0dEl6MZ1qU16ejp3bt/KN7bV0dGZoMDrMmWBN67j5Pzp8bB5aQy8cUNOo1MBGgMDb8iUfaxRVVUVO7uKBOWyCQq8UWBc79fQj1+Tzi8ddXV1TEwrSDfzPPrx7u2bODrlnUbWwdGZm7n6MejGNRyd864DgERSqLU/ZeV0WuVxvAvWmft4B924XqBOSSF1FpeES0HoN5FNF2jQrB6J1+8g+RBrHn8pCP0msqlN9ZvWI/5iYLH2mT2eXw+6KVN+PegmznmM586ODnL21wKDsLezlY7nlZyceBkRQWZmptTm+YuX6OnqFMmBz9JYCgcbS67ekl2zcOXWPao45D8xVhQkEgkPn4YXaXFrWXUNjEzMpVsFcxu0dPS4E3RZavM+PZ2Quzeo6Fj8DEL5qOb9hxuHL4XMzOJv/1WEE1+CpKamEhkZyYsXL7hx4wazZs2iQ4cOtG3blu+++05ql5ycTGRkpMyWlJSUT8tfLl06duCI/3H8/I/zLDycFavXEh0TS9vWLQBY67ORv+YtlNq3bdWS6OgYVq5ex7PwcPz8j+N37DjdOneQ2mzcso2r1wOJiIzk0ePHzFu0lNDHT2jbqkWxdSopKdG+Yyd27tjKxQvnePb0CQvn/42amhoNG30jtZs/9y/We6+Vfm7foROBN66za+c2wsPD2LVzGzeDbtC+Q2epzdu3b3kc+ojHoVkLq6KiInkc+qjI6RuVlJTo8EHjhQvnePr0CQvnz5XTOG/uHHxkNHb8oHH7B43bCQoKpEOHTlKbjp264H/UD39/P8LDwljttYKYmGhat25bZI1fej9+TTq/dJSUlGjXsTO7dmyR9uPi+XMorVaGBo2aSO0WzJ3NBu810s/tOnQm8MY1du/cyvPwMHbv3MrNoBu065AzmbHRZw1379wiKiqSp08es3H9Wu7cvknDj9otms4u7NqxmUsXzn7Q+RdquXQunOvJRu/VMjqDblzD94NO351buRl0nXYduuapc9P6tdwtok4VDXU0XRzRdMlyhtWtzdB0caSMuQkADn+MxsX7L6n9M69tlLU0xenv8ZRztMGsfxfMB3Th8fx1UpunSzeg36wuNmMGoeFgg82YQeg38eDpkvVF7r9sunRszxH/4xz5MJ4vX72O6JhY2n0Yz9f4bGT2vJwQwLatWhAdHcOKD+P5Ef/j+B07QbfOHaU27Vq3JCk5mWVea3n+4gWXrl5jy87dtG/Tqlgae7Vrzv4TZzlw4ixPn79kofc2omLj6NQ8a83Y8s27mb54jUydB0/CePAkjLfv3pGQmMyDJ2E8CX8p/X7tjn1cCrrDi6gYHjwJ48/l3jx4Gk6n5o2KpRGyzskW7XpycJcP1y6e4vmzUFYvnk7p0mWo3SDnf9mqBVPZsWGZ9PP79HSePX7As8cPeJ+eTvyrGJ49fkBURLjUZufG5YTcDSQm6iXhTx+xa+Nygu/cwKOhbH5+wdeHCKcpQfz8/DAxMaFUqVLo6Ojg4uLC4sWL6devn/RlTwBTpkxhypQpMnWHDBnCypUr/23Jn0yjBvVISk5i07btxMXFY2VpwZ/TJmNkaAjAq/g4omNycgybGBvxx7TJrFyzjv2HDqOnp8uwwT9Qv27OrFPK69csXLqc+Ph4NDQ0sLWxZv7sP3F0UPwyj8LSpWsP0lLTWLFsCSkpydg7ODLjj9nS7D8AMTHRKCnnxCs6OVdi7PiJbNzgw+aN6zE2MWHs+Ik4OOY8yn/08AG/jx8j/bx2ddZx/KZpM0aNHltEjd1JTU1lxbKlpKQk4+DgyIw/POU0Kstp/J1NG3zY9EHjuFwaGzRsRHJyEtu2bCYuLg5LK0umTf8DQ6OiL9r6Gvrxa9L5pdO5a0/SUtNYtWzRh350Yvoff8n0Y6yCc3LM+Els3uDNlo0+GJuY8tv4yTL9mJAQz8K5s4mLi0NDQwNLaxumzvCUy2pTWDp17UlqaqqMzml/zKGs3PHOGYsdnSszZvxkNm9Yx5aN3hibmDJm/GTs5XR6Ev+RzikzZhdJp1a1ynic2Cj97Dz3dwDCN/hya+AE1EwMKPvBoQd4+/Q5V9sNxnneBCyH9iH1ZTR3R/1J5B5/qU38xUAC+4zGYfpIHKaP4E1oOIG9R5FwpfiZTxo3qEdScjKbtu2Qjuezpk2Sjudx8fFy4/mf0yaxYo03+w8dQU9Pl58GD6RBXQ+pjaGBPn/NmMryNd4M+nkU+nq6dG7flh5dOsntvzA0rVuTxOQU1u06wKv4RGwsKjDv918wMcgKWXkVn0BUrGyIVL/fctZ53X/8DP9zlzE20GPPijkAJL9+y18r1/MqIYly6mWxt7ZgxYyxVKr4afHlrTt/R1paKhtWzeFNSjI29pX4bfoSyqrnpJSOi42S8Q/i42KYMupb6ecjezdxZO8mHCu7M+HPrLEmKeEVXgunkRAXS1mNcphb2jFm6iIquxbvRWn/FCKcpugoSSSi2wSfn7CHhc+JXBJYVHTiQWhYScsoEHtbCx6Gflrqsn+airaWX3xf2ttafPEaIUvn18D90OclLSFfHG3NCA59UdIyCsTJtgKHVB0KNixB2qSHEP7wy06Zal7Rmbjb5wo2LGF0q9TjoBsrVQAAqDhJREFU0v3EkpaRL7Ud/913x3zMCsWvFygUQ/+jDxXETLxAIBAIBAKBoEQR2WmKjnDiBQKBQCAQCAQlyqcFhvxH8vrmQjjxAoFAIBAIBIISRQR3Fx2RnUYgEAgEAoFAIPjKEDPxAoFAIBAIBIIS5b+c7724CCdeIBAIBAKBQFCiiHCaoiOceIFAIBAIBAJBiSKy0xQdkSdeIBAIBAKBQFCizNtbfHf0147/THaa+Ph4RowYwf79+wFo3749S5YsQVtbO886/fv3Z/162Tch16pVi0uXLkk/p6amMmbMGLZu3crbt29p0qQJy5cvx8zMrEj6xEy84B/hsLpjSUvIl9Zv7hNz70pJyygQA+eavHhwu6Rl5EsF+ypffF8aONck5u7lkpZRIAaVvqw3KObF1/Dyn2ePQkpaRoFY2jl8FX35NbyQ6mVI8d88+29h6lCVhKCAkpaRL9qujUps35JPmor/Z5z43r178/z5c/z8st5ENXjwYPr27cuBAwfyrdeyZUu8vb2ln0uXLi3z/ciRIzlw4ADbtm1DT0+PX3/9lbZt23L9+nVUVFQKrU848QKBQCAQCAQCwUcEBwfj5+fHpUuXqFUra4Jl9erVeHh4EBISgoND3je3ampqGBsbK/wuMTGRtWvXsnHjRpo2bQrApk2bMDc35/jx47Ro0aLQGkWKSYFAIBAIBAJBiZIpKf6WmppKUlKSzJaamvpJei5evIiWlpbUgQeoXbs2WlpaXLhwId+6AQEBGBoaYm9vz6BBg4iOjpZ+d/36ddLT02nevLm0zNTUlMqVKxfYbm6EEy8QCAQCgUAgKFEkkuJvnp6eaGlpyWyenp6fpCcyMhJDQ0O5ckNDQyIjI/Os16pVKzZv3szJkyeZN28eV69e5ZtvvpHeVERGRlK6dGl0dHRk6hkZGeXbriJEOI1AIBAIBAKBoETJ/ISY+AkTJjB69GiZMjU1NYW206ZNY/r06fm2d/XqVQCUlORj7SUSicLybHr06CH9u3LlylSvXh1LS0sOHTpE586d86xXULuK+E/OxHt5eWFubo6ysjILFy4saTlfFI0aNWLkyJElLUMgEAgEAsF/iE+ZiVdTU0NTU1Nmy8uJ//nnnwkODs53q1y5MsbGxkRFRcnVj4mJwcjIqNC/y8TEBEtLSx4+fAiAsbExaWlpxMfHy9hFR0cXqV0owky8RCKhWbNmqKiocPToUZnvli9fzoQJE1iyZAn9+vVTWD8iIkImyP/58+fY2NhgY2PD/fv35ew/vhvR0NDA1taWUaNG0b9//8JKVkhSUhI///wz8+fPp0uXLmhpacnZ1K5dGzc3N1asWCEtW7FiBcOGDWPNmjUMHDhQWj5w4ECCg4O5cOECAQEBNG7cGG1tbSIiIihTpozU7sqVK9K4qvyyelpZWfHs2TMAlJWVMTIyolWrVsydO1fu0cvXisXgXtiMHIiasQEpwY+499ss4i9cz9PeckhvLIf0oaxlBd6GRxA6ZyUvtuyTfq9UqhS2vw2mQp+OlDE14vWDJ9yfPJfYY+eKrdH3yHG27j3Eq/hErMwr8MvAb3FxVryIJTYugaU+WwgJfcLziCi6tmnOLwO/lbHZ738Kv4BzPA57DoCDrTVD+nTD2d622BoB9h3yY7vvfl7Fx2NlYc5Pg/pTtZJznvY3b99l+dr1PA0LR19Xhx5dOtC+lewiml37DrL/iD/RMbFoaZanQZ3aDOrXR251fWH5GvrS98hxtu47nKPx+z75a1y/hZDQp1kaWzeT03j60lU27D7Ai4ho3me8x8zEmJ7tW9GyUd1ia/xa2HfoCDt99/IqLuucHDZoIFUq53dO3mHlGm+ehoWjp6tLjy4dade6pYxNSspr1m3cxLkLl0lOScHEyJAhAwdQq0a1Ymncf/AwO319iYuLx9LCgqGDf6BK5Up52t+6fYeVq9fyLCwMPV1dunftTNvWrRTanjp9Bs85c/GoXYvpkycWS182X3pf6tarjs2vA9Fyr0wZU0OudRlG1P4T+depXwPnueMp51yR1JfRhM5bQ5jXNhkb407NsZ/2C+q2FrwJDSNkygKi9h0vsr5s9h4+ynbffbyKT8DKwoyffxhA1UpOedoH3ckeJ5+jr6tDz84daN+quYzNrn2H2O93lKiYWLQ0NWlYpzaDvutd7HESYNfRADYd8OdVQiLWZqaM6tcdN6eKCm1j4xNZtHEn9x+HER4ZTfeWjRndv4ec3dZDx/E9doao2Di0NMvxTS13hvXqhFpp1WLr/Kf4txKe6+vro6+vX6Cdh4cHiYmJXLlyhZo1awJw+fJlEhMTqVOnTqH39+rVK8LDwzExMQGgWrVqqKqqcuzYMbp37w5k+ch37txhzpw5RfothZ6JV1JSwtvbm8uXL7Nq1Spp+ZMnTxg3bhyLFi3CwsICgJCQECIiImS23HFFPj4+dO/enTdv3nD+/HmF+/T29iYiIoKbN2/So0cPBgwYIHcDUVTCwsJIT0+nTZs2mJiYoK6uLmfTuHFjTp06JVMWEBCAubm5wvLGjRvLlJUvX549e/bIlK1bt07aPwUxY8YMIiIiCAsLY/PmzZw5c4YRI0bkaZ+RkUHmV/K+YpMurXCeM4FHc1ZyzqMTceevUWOvF2XMTBTaWwzqif300Tz8cylnqrXl4R9LqLRgCoatc/rcfuovWAzswb1f/+CMexvC1m6j2ralaLrkPUjnx4lzl1i8bhPfde3AunkzcXF2YMzMv4mMiVVon/4+HW3N8nzXtQN2VoqPceDdYJrW92DJzN9ZNXsqRvp6jJ4+h5hXccXSCHDq7HmWrfGhT/fOeC36myqVnBg/bRZR0TEK7SMio5gwfRZVKjnhtehvenfrzFIvb86cz8ldezzgDKvXb6Zfz274LF/ImOFDCTh3gdXrNxdL49fQlyfOXWKx92a+69KedfNm4OJkz5g/5hagUZPvurTHzspcoU35cuX4rkt7Vs6ezPoFf9L6m/p4Ll3N5cAvPw3ep3DqzDlWrF5H7+5dWbl4HlUqOTNh2sx8z8mJ0/6gSiVnVi6eR+/uXVjmtZYz5y9KbdLT0xk7eRqRUTFMmfAbPquWMmr4MPT1dIulMeDMWVauXkPvHt1ZsXghVSo7M3HqdKLz1BjJxKnTqVLZmRWLF9KrRzeWr1rN2fPyC9CioqNZvdabyvncSBeWr6EvVTTUSboVwt1fZhTKvqyVGTUOeBF37jrnanTk0V8rqbRgIsadchxk7dquuG1ZwIvN+zhbrQMvNu/DfetCtGtWLZbGk2fPs2yNN99278LqhXOo6uzEuOl/EhWT3zjpSVVnJ1YvnEOfbp1Zsnodpy/kjJPHAs7itWEz3/XsxvplC/lt+FBOnbvA6g1biqUR4NiFqyxYv4MBnVqzYfYkXB3tGOW5hMhYxeNaWnrWWDmgUysqWirOLe539jLLt+7hh65t2TZ/GhOHfMfxi9dYvnWPQnuBLE5OTrRs2ZJBgwZx6dIlLl26xKBBg2jbtq1MZhpHR0epz5eSksKYMWO4ePEiT58+JSAggHbt2qGvr0+nTp0A0NLSYuDAgfz666+cOHGCwMBAvv32W6pUqSLNVlNYihROY25uzqJFixgzZgxPnjxBIpEwcOBAmjRpIjNDbmhoiLGxscymrJyzK4lEgre3N3379qV3796sXbtW4f60tbUxNjbG1taW33//HV1dXfz9/fPVGBYWRocOHShXrhyampp0795d+jjEx8eHKlWqAGBjY4OSkhJPnz6Va6Nx48bSG5FsTp8+zYQJEwgICJCWhYeH8/jxYzknvl+/fqxbt076+e3bt2zbti3PpxS5KV++PMbGxlSoUIHGjRvz3XffcePGDen3Pj4+aGtrc/DgQZydnVFTU+PZs2ekpaUxduxYKlSogIaGBrVq1ZLR++rVK3r16oWZmRnq6upUqVKFrVu35qvFz88PLS0tNmzYUCjtBWE9oj/h63fz3GcXr0MeEzzWk3fPI7Ec1EuhfYVeHQhfu52I3Ud4+/Q5EbsOE75+Fzajf8ix6d2B0L9XEXP0DG+fPids9TZijp/DesSAYmnctv8IbZs0pF2zRtKZY0M9Pfb6KZ5hMjE0YOQPfWnVuB4a6mUV2kwdNYzOrZpS0doSSzNTxg0bSKYkk2u3ip8jeufeA7Rq9g1tWjTF0tyMnwcNwFBfj/1HFF8jB/z8MTTQ5+dBA7A0N6NNi6a0atqYHXv2S23u3n9AZScHmjSqj7GRITXcXfmmQT0ePAotlsavoS+3HfDL0WiWrVGXvUdP5q1x4LcfNMpPAgC4V3aiYe3qWJlVoIKxEd3btsDW0pxbwQ+KpfFrYffe/bRs1oTWLZphaW7OsMEDMdTX48BhP4X2B48cxdBAn2GDB2Jpbk7rFs1o2fQbdvruldr4HTtBcnIyMyaNp7KzE0aGhlSp5IytjXXxNO7ZR8vmTWnVojkWFuYMHTwIA319Dhw+rND+0GE/DA0MGDp4EBYW5rRq0ZwWzZqyy1fWEcrIyGD23/Po26cXJnmkliuSzq+gL2OOnuHB1IVE7j1WKHvLwT15FxbBvV9nkXL/MeHrdhHu44vN6O+lNtbD+xF7/AKhc7x4HfKY0DlexJ68hNXwwv3/zM3OfQdp3fQb2jRv8tE4qc/+w4rHyf1+x2THyeZNaNX0G5lx8t79ECo7OdC04Ydx0s2Fb+rXJaSY4yRkzZi3/6YuHZrUw9rMhNH9e2Ckp8Nu/9MK7U0N9fm1fw9aN/SgXB5j5e2Hj6nqYEuLejUxNdSntoszzevUIPjxs2Lr/CfJlEiKvf1TbN68mSpVqtC8eXOaN29O1apV2bhxo4xNSEgIiYmJAKioqHD79m06dOiAvb09/fr1w97enosXL1K+fHlpnQULFtCxY0e6d+9O3bp1UVdX58CBA0XKEQ/FiInv168fTZo0YcCAASxdupQ7d+7g5eVVpDZOnTrFmzdvaNq0KX379mXHjh0kJyfnaZ+RkcGOHTuIi4tDVTXvR0ASiYSOHTsSFxfH6dOnOXbsGKGhodJFBj169OD48axHcleuXCEiIgJzc/mZtLp166Kqqip1gO/du8fbt2/5/vvvSUpKksY1nTp1itKlS8s9Vunbty9nz54lLCwMgN27d2NlZYW7u3vhO+l/7J11WFRbF8bfGbo7lW7EABM7EfNid2Ffr93xmdfuTsoGFbtQVBQLFRCVUgRBpRlCmmF/fyADwwwIePXM3Lt/z3MePfusc+adzcyeddZZe+3vfPnyBdeuXeMrcQQAeXl52LhxI44dO4Z3795BW1sbEyZMwOPHj3H27FmEhYVhyJAhcHZ25uktKChA8+bNce3aNbx9+5a3aMHz58IXwTl79iyGDh2K48ePY+zYsXXWXhWWlBSU7RshzZ//yUuq/2OotrEXeg5bRhrcKmWiSvMLodqiMViSZdlgbGlpcAsEbdTa1v3xcHFxCaJj4tCyWWO+9pbN7PA28n2dr1cdhUWFKOFyoayoUK/zi4uLEf3hI1rYN+Vrb2HfFO8ihC9y8y4yWtDeoRmiPsSgpKQEANDY1hrRMR8REV32Xr8mJeP5y2C0bvHv7EuexqZ2fO0tmzX+xzQSQvAy7B3ivyaima1oL4L2M5R9JmPQwr4ZX3tz+2YIF5IyCZQ5Q82r2LdwsEd0pc/k0+cvYGtthT0Hj2Dw6PGY9OcsnPY5Dy6XWy+N7z98gIM9/3jT3MEe4RHVaYxEcwdB++j3H3gaAeDUGW+oqKigV0+nqpeol05R78v6oNqmGVLvVhn//R5BpbkdbzxXa9MMaXf5UyHT7jyCmqPw34iaqH6cbIK3kcLHyfDIaLSw54/6t7RviqgPHyuNkzaC4+SrELRpUfffeAAoLilB5Md4tG7C/wSnVVNbvImu/41BUytzRH6Mx7sPsQCAL8mpeBLyFu3sG//gTGYgpfXffhXq6uo4efIkr2zlyZMnBVZrJYTwAtlycnK4ffs2UlJSUFRUhE+fPsHT01PA15SVlcXevXuRnp6OvLw8XL16Vag/+iPqVZ3myJEjsLOzw6NHj3D+/HmBVJmqy8Y2aNAAUVEVXxg3NzcMHz4cEhISaNSoEczNzeHt7Y1JkybxnTdixAhISEigoKAAXC4X6urqAjaVuXv3LsLCwhAbG8vrjBMnTqBRo0Z48eIFWrZsCQ0NDQCAlpZWtYX4FRQU0LJlSzx48AAjRozAgwcP0L59e8jIyKBdu3Z48OABLCws8ODBA7Ru3VogJUdbWxu9evWCp6cnVq5cCXd3d7i6ugp9LWEsXrwYK1asAJfLRUFBAVq3bo0dO3bw2RQXF+PAgQNo2rRscIqJicGZM2fw+fNn6OvrAwAWLFiAW7duwcPDAxs2bECDBg2wYMEC3jVmzpyJW7du4dy5cwI3CQcOHMCyZctw+fJlgScN9UVaUw1sSUkUJqfztRelpENGR3h+WurdQBiMH4zkq/7IDnkHFQc7NBw7EGxpaUhrqqEwKRVpdwNhMnM8MgJfIu9jPDS7OEKnb1egjne0AJCVkwNuaSnUVZX52tVVVZCemVXn61XHwePe0FJXQ4um1efh1kRWdg5KS0uhpso/p0NNVQUZmZlCz+FwMoXac7lcZGXnQENdDV07tkdmVjZmL/4fCCHgcrno36snRg4ZUHeNYtCXFRr5+0VdRfmnNX7LzcOAybNRVFwCCTYb86aMRctmdj8+UUzhfSbVVPna1dRUkRGcKfScDA4Hamr2AvZln8lsaKirIzE5GSFhb9Ctc0dsWP0/fPnyFXsOHQGXy8WYEYI5wDWRnZ39/XtTRaOqCjgc4RqFf2/4Nb4LD8ctvzs4uHd3nfRUhzj0ZX2Q0dFEYTJ/mlpRSjrYUlK88VxGV1PgN6IwOR0yulp1fr2KcVKVr11NRRWcasbJjMxMqKlUsef9vcvHyXbIzM7GrCX/AyH4Pk46YeTguo+TAJCZ/a1sHFLhHys1VJTwLDO7XtcEAKd2LZGZnYMpK7eCgIDLLcWgHp0wzsX5xyczQE3zBSnCqZcTr62tjSlTpuDSpUu8HJ/KPHr0iO+xgaRkxctkZmbC19cXgYEVd9qjR4+Gu7u7gIO+c+dOdO/eHQkJCZg3bx7mzp0Lc3PzanVFRETAwMCA727G1tYWqqqqiIiIQMuWLWv9Hrt06YJz584BKMt779y5MwCgU6dOePDgASZPnowHDx5UG6F2dXXF7NmzMXr0aDx9+hTnzp3Do0ePavXaCxcuxPjx40EIQUJCApYtW4Y+ffrg4cOHvEct0tLSaNKkIloQHBwMQggsLS35rlVYWMi7ceFyudi0aRO8vb3x5csXFBYWorCwEAoK/BHMCxcuIDk5GYGBgbzJHNVRfo3KVDcjnEfVLypLSNt3Pmw8ABkdTbR9cBZgsVCUko7PJy/CbP5kkO/Ro/CF62G3fx06hd4AIQR5HxPw+YQvGo6pvpTTj2BVWcK5PqWfquPUxWu4G/gMe9ctg8xPTIICBMtfEVLz4tMC74GUt5f9G/rmLU75+GL2tEmwsbLAl8Qk7D/igRNnVTFm+JD6aRSDvhTWLT+rUV5OFh7b/0Z+QQFehoVjn8cZ6Otow8GufnM1xIWqvfbjv7fg5wOo6P/S0lKoqqpg7l/TISEhAUtzM6RnZMDH93K9HU9h35sffHGqNHzXCBby8vKwadsOzJn1F1SqOGE/izj0ZZ0RGP9Zgu3CbH7CwRPsspr/4IKfj/J+LNsPffMOJ30uYM60ybCxNMeXxCTsO+qB42pqGDt88D+mkxBh2mvPq3dR8Lh4E4smjkQjCxN8TkrBDk9vaFxQwcRBfep/4V+EmEztEynqXSdeUlKSzzmvjImJicDjhnJOnz7Niy6XQwhBaWkpwsPDYWtb8ThJV1cX5ubmMDc3x7lz52Bvb48WLVrw2VSmugGuPk5Dly5dsH79enz58gUBAQG8CHanTp2wd+9exMfHIzY2ttoode/evTF16lRMnDgR/fr14znStUFTU5N3s2JhYYFdu3bB0dER9+/f5016kJOT43tPpaWlkJCQwKtXrwRyqhQVFQEA27dvx86dO7Fr1y40btwYCgoKmDNnDoqKivjsmzVrhuDgYHh4eKBly5Y19t3GjRsF6q2uWrUKwlz/ojQOSktKIKPLH3WX1tJAYUq6kDOA0oJCvJm2HG//WgUZHQ0UJKbCcOJQFGd/Q1Eah3fd4GF/gS0jDSkNVRR+TYHVuvnIi/tcre7qUFFSggSbLRCF5WRlC0RJ6sPpS9dx4vxV7FqzuNqJm7VBRVkJbDYbGVWih5lZWQJRp3LU1FQF7DlZWZCQkIDy95tuj5Nn0aNLR/TpWfY5MzU2QkFBIXbsO4RRQwfxzW35oUYx6EueRs4/r5HNZqOhXlm5MAsTI3z6/BUnfa/+a534aj+TmVkCkexy1NXUBMqsZWbyfyY11NUgISHJN64ZGjREBoeD4uLiGlMsq6KsrPxdY5XX/MH3pmqUnlOuUVkJnz7FIzk5BSvXrOMdL3f6nPu5wP3IQejrCZ+4Xx3i0Jf1oTA5TSCiLq2ljtLiYhSlZ5bZJKUJ/EbIaKsLRPBrQ3X9yMmqoR9VVZGRKfj5qNyP7qfOwqlLR/Rx6gagYpzcvv8wRg8dWKdxEgBUlRW/j5X8UfeM7JyfGocO+1xBr46t8Ue39gAAc8MGyC8sxMYjJzFhQK866/zV0Eh83fntf0E3NzfMnz8foaGhvO3169fo0qUL32TQqpibm2PQoEFYunRptTa2traIj49HQkICry08PBxZWVmwsanbD2fbtm0hIyODAwcOID8/H82bl+UEt2jRAllZWTh8+DBkZWXRpk0boedLSEhgzJgxePDgQZ1Saaq7FlA2QbY67O3tweVykZKSwrvxKd/K04YePXqEP/74A6NHj0bTpk1hamrKy5evjJmZGe7fv4/Lly9j5syZNWpbunQpsrKy+Lbq/kakuBjZIe+g2ZV/DoFm17bIfBZS4+uQkhIUfEkGSkuhN7gPUm8+EIjMlBYWofBrCliSktB1cULydeETE2tCSkoSlmbGePH6LV/7y9dvYWctvNRXbTl98Tq8zl3GtpULYW1u+lPXkpKSgqW5KV5VqXbyKjQMjWyEl0ZsZG2JV6H89i9DXsPK3Ix3Q15QWAQ2m/+mjc1mg6DuA6w49OWv1FgVAoKi4pIfG4opZZ9JM7wKfc3X/ir0NWythc8FsLW2ErB/GRIKy0qfyUY2NviamMhXgevzl6/QUFers9MpJSUFC3NzBIeE8rUHh4TC1qY6jdZC7ENgaWEOSUlJGBg0xOH9e3Fw727e1qZ1KzRt0hgH9+6GVi1K2QnTKep9WR8yn4VCsxv/+K/Voz2yXr0F+Z5vznkWCs1u/KVYNbu3B+dpzb8RwigfJ1+GCo6TdtbCx0nbasdJ00rjZCFYLH73qWycJPVyRKUkJWFtaoigsAi+9qCwCDT+idK5BYVFYLMEx3MQ3kNYipjzS5z4lJQUJCUl8W3FxcUIDQ1FcHAwJk2aBDs7O75txIgROH78OIqLi6u97vz583H16lW8fPlS6PHu3bujSZMmGDVqFIKDgxEUFISxY8eiU6dOaNGiRZ3eg5ycHFq3bo29e/eiXbt2PEdaSkoKjo6O2Lt3L8/Rr45169YhNTUVPXv2rNZGGDk5OUhKSkJiYiKCgoKwcOFCaGpq1liX1NLSEqNGjcLYsWPh6+uL2NhYvHjxAps3b8aN71UXzM3NcefOHTx58gQRERGYOnVqtUv8Wlpa4v79+7hw4UKNiz/VZYEFAIjd4wmD8YPRcOxAKFiZwmbzEsgZ6OHTsbI6wVZr5qHJ0U08ewVzY+gP7wd5MyOotGiMZl7boWRrgahVO3k2Ki2bQOePHpAzbgi1ts3R8vJRsNhsfNxxrFodNTG8fy9cu/sA1+4GIC7hC/a4n0RyWjpcepZFXQ6d8Ma63Yf4znkf+wnvYz8hv6AQmdnZeB/7CbEJX3jHT128hqOnz2PpX5Ohp62JdE4m0jmZyMsvqJdGABji0g837vjj5h1/fEr4jP1HPZCcmoZ+3+sZH/U6hY079vDs+zk7ITklFQeOeeJTwmfcvOOPm3fuYeiA/jwbx1bNceWGH+49DERiUjJehryGx6mzaNuqRZ1nzQPi0ZfD+znjmn8ArvkHIO7zF+xxP1Wm0alrmcaTPli3+zDfORUaC5CZnSOg8cSFq3gR+hZfklLw6fNXnL1yE7cePEbPjrWvLSyODHLpj5t+d3HT7y4+JSTgwFF3pKSmoV/vsjHwmOcJbNpekTfet1dPpKSk4uBRd3xKSMBNv7u4dccfQwa68Gz69XZGdk4O9h9xw+cvX/DsxUucPncB/fsIr9P+Q40D/sAtvzu45XcH8fEJOHjkGFJSU3l13908vbBle8X40qe3M5JTUnDoqBvi4xO+n3sXgweWpZJKS0vDxNiIb1NUUICcnBxMjI3q7RyLQ19KKMhDuak1lJuW3VjImzSEclNryBqUPXmw+nsemnps5tl/OnIWckb6sNm6BIrWpmg4fhAMJgzCxx0VAby4fceh2aMdTBdMhoKVKUwXTIZmN0fE7fWql8Yhf/TFjTv+uHHnXtk4ecxTYJzcsHMvz76/cw8kp6Rhv1vZOHnjzj3cuMs/TrZt2QJXbvrh3sPHvHHS/SfGSQAY0ac7Lt8LxJX7jxH7ORE7vXyQnJaBgT06AgD2n76I1fs8+M6JjktAdFwC8goKkJn9DdFxCfj4+SvveIfmTXDhzkP4PX6BrylpeB4WjiPeV9ChRRNIiFgUHgBKSf23/yr1Tqepicr1M8t5+vQpTp06BVtbW1gLiSS4uLhg+vTpuHr1arXL0pbX0Fy5ciXPMa0Mi8XCpUuXMHPmTHTs2BFsNhvOzs7Yu3evkKv9mC5duuDhw4e8fPhyOnXqhLt37/5wwqe0tHStFhSoysqVK7Fy5UoAZRNwW7ZsiTt37vwwJcfDwwN///035s+fjy9fvkBDQwOOjo7o3bs3AOB///sfYmNj0bNnT8jLy2PKlClwcXHhlUaqipWVFe7du4fOnTtDQkIC27dvr/N7qUrihZuQ0lCF+dIZZYs9hb/HiwFTUZBQNvDI6GpBzkC/4gQJNkxmT4CihQlKi0uQ/vA5nnYdgfz4CodJQkYGlitnQ97EANxveUi5HYDXkxajJKv6ikc10a19G2TlfIOnzyWkczJhYtgQW1csgK522d8ynZOJ5FT+9J8J81bw/h8VE4s7D59CV0sT54+UOQMXb/qjuKQEK7bs4T9v2ABMHF6/3P0uHdohOzsHx8+eR0YGB8ZGhti4ahl0tcseV2dkcJBSqda5nq4ONq5ahv3HPHH5+i1oqKvjrykT0LFdxdOkMcMGg8Viwf3kWaSlZ0BVWRmOrZpj4piR9dIoDn1ZofFyhcbl8/k1plXROP9/lTTG4c6j7xoPl01Azy8sxPajXkhJz4CMtDSMGuhh5eyp6NZe+JO7fwtdOrZHdk4OTp714X0mN6xeAZ3vxQ8yOBykVKrPraerg/WrV+DgMQ9cuX4TGhrqmDFlIjq2c+TZaGtpYvPaVThwzAOT/5oLTQ11DOzfF8MG1W8SYeeOHZCdnYNTZ7yRkZEBIyMj/L1mZYXGjKoadbF+zSocOnoMV69dh7qGOv6cOhkd2v3aGzJx6EuV5nZw9K8ot2e7bRkAIOG4L8ImLoWMnhbkDCpSifLjPuNFvymw3b4URtNHofBrCt7NXY+kixXlHjlPQxAyah6s1syB1ZpZyItJQMjIucgMqt8aC107tEN2zjcc9y4fJw2waWXFOJnOETZOLsWBY164fP02NNTVMHOyKzq1rTxODgKLxYLbyTNIyygfJ1tg0mjhpZJrQ4+2LZGVkwv3C9eRxsmCqYE+di75C3paZb/76ZlZSK6yFsaYxX/z/h/5MR63HwdBT0sDl/ZtAABMGNgbLACHvS8jNSMTqsqKaN+8CaYPd6m3zl8J+S974/WERWgSEuUXcENetEvp9c6LRGp4ENMyfoiWbSt8iX7DtIwaaWDZWOT7Usu2FVLfCS+lKkpoNWr9YyMRIOF9/dc3+B0YWNji0wfhJQRFCSNzK7Hoy+tSwlNPRIU+xVH4GiX6C6npWzVBZugDpmXUiGqzzoy99jK3wh8bVcOGiT8oqPEv5ZdE4ikUCoVCoVAolNpSSiPxdYY68RQKhUKhUCgURqGJIXVH9GY2UCgUCoVCoVAolBqhkXgKhUKhUCgUCqMQuthTnaFOPIVCoVAoFAqFUUppOk2doU48hUKhUCgUCoVRaE583aFOPIVCoVAoFAqFUWh1mrpDnXgKhUKhUCgUCqPQQHzdoYs9USgUCoVCoVAYZc7eb/U+d9dMxX9QifhAI/GUX4Kor56nb9VEbFZ0FIe+jPsQzbSMGjE2t8SHmFimZfwQczMTpiXUioB3eUxLqJFOjeRR4OfBtIwfIus0ARlvApmWUSPqjduLxRgk6qvKAmUry7bvF8C0jBoJvNqJsdcmNJ2mzlAnnkKhUCgUCoXCKLQ6Td2hTjyFQqFQKBQKhVFoJL7uUCeeQqFQKBQKhcIo1ImvO9SJp1AoFAqFQqEwCvXh6w6baQGUfw4Wi4VLly4BAOLi4sBisRAaGvpT1+zcuTPmzJnz09ooFAqFQqFQKP8cIh2JJ4SgR48ekJCQwO3bt/mOHThwAEuXLsXevXsxbtw4oecnJiZCV1eXt//582eYmprC1NQUkZGRAvYsFov3fwUFBZiZmWHu3LkYP358jTqNjY0xZ86cf8TZjYuLg4mJCUJCQtCsWbOfvp4ocunGbXj7XkY6JxPGhg3x16QJaNLIplr70LfvcMDNC3Hxn6GprobhA/9A/15OfDbnL1/HlVu3kZyaBhVlZXRq2waTx46EtLR0vTReuXYD53x9kZHBgZGhIaZPmYTGdo2qtQ978xaHjrrhU3w8NNTVMXTwQPTt3Yt33O+OP7bt2i1w3rWL5+utERCPvrx67TpfX06bMvkHffkGhyv15ZDBg/j6sjIPAh5i45atcGzTGqv/t6Je+gDg2rWr8L1wHhkZGTA0MsKUKdNgZ2dXrf2bN2E4evQI4j99grqGBgYPGoLeffrw2TwODMSJE8eRmJgIPT09jB03Dm3btqu3RnGBEIKr3ofx6M4F5OXmwMTCDiMnL4W+oVm153yNj8HlswcQHxOB9NREDJ2wAN37jeKz4XJLcNX7MJ4/vIHszHSoqGmibZd+6D14MtjsusWjvB8Gw9P/OdKyv8FMTxOLBnaHg7mBUNvgmATsvvwAscnpKCgugZ6aMga3a4YxXVvxbO6GRsHN7ykS0jgo5pbCSEsNY7q2Qr9W1X+GasOFW/dw6sptpHMyYWLQAHPGD0czW0uhtmmcTOzx8kHUxzgkJKZgSO9umDthBJ/N9fuB+Hu/YNWeB6cPQUZaql4aRX0MUm/fAqbzJ0LFwQ6y+tp4OehPJF/xr/mcDi1hu20JFG0tUPg1BTHbjyH+yFk+G90BTrBcPRvyZobIi4lH1MqdSL58t876quI6wgj9e+pBSVES4dE52HHoPWLjq68GJSHBwpghhujVVQeaGjJI+JKHg54f8TyYw7M5d6w19HRkBc71vf4FOw59+GnN/xQ0nabuiLQTz2Kx4OHhgcaNG+Pw4cOYOnUqACA2NhaLFy/G3r17YWhoCACIioqCsrIy3/na2tp8+56enhg6dCgePnyIx48fo107wR9UDw8PODs7Izc3F97e3pgwYQL09PTQs2fPX/Qu/1vce/QY+495YM60ybCzscLVW3eweM16eO7fCR0tLQH7xKRkLF2zEX2cumH5vFl4GxGFXYeOQkWlbGAHgDsPHuHI8VNYNGs67KytkPA1EZt37wcAzJg0vs4aHzx8hENHj2Hmn9PQyMYG12/dwvJVa3Ds4H5oawvTmITlq9agt7MTliyYh3cREdh74BBUVFTQoV1bnp28vDzcDx/kO/dnHHhx6su//pyGRja2uH7rFlasWo2jB/cLfD8BICkpCStWrUEv555YvGA+3kWEY9+BQ1BRUUaHKt/X5JQUHHVzh12j6m8IasPDgAAcPXIYf/45Aza2jXDr5g2sWrkCBw8dqVbjqpX/g7NzLyxYsAgR4e9w4MB+qKiooF379gCAiIhwbNq0AWPGjIVj23Z4+uQxNm3cgC1bt8Pa2vqn9Io6ty964u7Vkxg/cw109Ixw/fxR7FwzDev2XYKsnILQc4oKC6Cl0xDN2/aAj/t2oTa3Lnoi4PZ5TJi5FvqGZvj04R08962GnLwSuvUdWWt9t15FYIvvXSwf2hPNTBvg/ONQ/HnQBxeXT4KeuoqAvZy0FIZ3bA6LBlqQk5ZCyMfPWHf2NuRkpDG4XTMAgIqCLCb1dISJjgakJCTw8N0HrDp1HepK8mhnY1prbZW5+zgIuzzPYuGk0WhibY6LdwIwb8MunN65DrpaGgL2xcUlUFNWxLiBfXH2ml+111WQl4P37vV8bfV14MVhDJJQkEd2WBQ+e/mi+bl9P7SXM26IllePIMHtHELHLYRaWwfY7V2FotQMJF0s61fVNs1gf3onolftRtLlu9D9ozsczuzC084jkRlU/3KcowYZYJhLQ6zfFYWEL3kYN8wIO9c2wYjpL5CfzxV6zpTRxnDqooPNe6MR/zkPrRzUsGFZI0xbFIr3H8vqrk+eF4zK97mmRgrY9XdT3A9MrbfWXwFdtqjuiHw6jYGBAXbv3o0FCxYgNjYWhBBMnDgR3bp144uQa2trQ1dXl2+rHJ0hhMDDwwNjxozByJEj4ebmJvT1VFVVoaurCzMzMyxbtgzq6urw86t+QBQGi8XCsWPHMGDAAMjLy8PCwgJXrlzhHedwOBg1ahS0tLQgJycHCwsLeHiURUdMTMrqRNvb24PFYqFz584AgBcvXqBHjx7Q1NSEiooKOnXqhODg4DrpCg8PR+/evaGoqAgdHR2MGTMGaWlpvOO5ubkYO3YsFBUVoaenh+3bhf+Y/gznLl9D7+5d0cepG4wMGuKvyROgramJKzeE9/GVW3egraWJvyZPgJFBQ/Rx6oZe3bvC52JFf4ZHRsHOxgrdO3WAro42Wto3RdcO7RD1IaZeGi9cvAxnp+7o1dMJhoYGmD5lMrQ0NXH1xg2h9tdv3IK2lhamT5kMQ0MD9OrphJ49uuO870U+OxaLBXV1Nb7tZxCHvvS9eAk9nXqgV8+efH157cZNofbXBPqyJ5x6dMeFKn3J5XKxees2jBk1Enq6OvXSVs7Fi75wcuqJns69YGhoiClTp0FTSws3rl8Tan/jxnVoaWtjytRpMDQ0RE/nXujRwwm+vud5NpcvXYK9vQOGDhsOAwMDDB02HE2bNcPlyxeFXvPfAiEEd6+dRu9BE+HQphsaGJljwqx1KCoswPOHwv/mAGBs0QiDx81Fq/bOkJIS7lB+jApDs1ad0KRFB2hq66N52x6wbdYGcTHhddJ44n4QBjg2xcC2TWGqq4lFg7pDV00ZPoEhQu1tDHTRq4UtzPW00EBDFX1b2qGttQmCYxJ4Ni0tjNCtqRVMdTVhoKWGUZ1bwkJfGyExn+ukrTJnrvqhX9cO6N+9I4wb6mPuhBHQ1lCHr98DofZ62pqY6zoSvTu3haK8fLXXZQHQUFPh2+qLOIxBqbcfInrVLiRdulMre6Mpw1EQn4jw+RvwLfIjEtzPI8HTF6bzXHk2JjPHIe3uE8RsOYLcqI+I2XIEafeewXim8KyA2jKkfwMc94nHw6dpiI3Pw/qdkZCRkYBTJ8FgQjk9u+jghE88nr3KwNfkAly6mYjnIRwMd2nIs8nMLkZGZsXWtqUGPn/NR8jbrJ/S+09TWkrqvf1XEXknHgDGjRuHbt26YcKECdi3bx/evn2LI0eO1Oka9+/fR15eHrp3744xY8bAx8cHOTk51dpzuVz4+PggIyOj2h+VmlizZg2GDh2KsLAw9O7dG6NGjUJGRgYA4H//+x/Cw8Nx8+ZNRERE4ODBg9DU1AQABAUFAQDu3r2LxMRE+Pr6AgBycnIwbtw4PHr0CM+ePYOFhQV69+5d43uoTGJiIjp16oRmzZrh5cuXuHXrFpKTkzF06FCezcKFC3H//n1cvHgRfn5+ePDgAV69elXn914dxcXFiP7wES3sm/K1t7BvgreRwhdeCo+MRgv7JnxtLe2bIurDR5SUlAAAGtvaIDrmIyKi3wMAviYl4/mrELRp4VAvje8/fICDvT1fe3MHe4RHCKZglWmMRHMHQfvo9x94GgEgPz8fo8dPxMixE/C/1WvxIaZ+P0rlOsWlL5sL7csIoedECOnLFg4OAn156sxZqKiowLmnU9VL1Fnjhw/vYe/A//4c7B0QUY3GyIgIONhXsW/eHO/fv+dpjIyMELymQ3NEhAu/5r+FtOQvyM5Mg20zR16blJQ0LBs1x8eo1z91bXObZogMC0Ly108AgITYKHyICEVjh9qnKBWXcBGRkARHa2O+dkdrY7yO/VKra0QkJOF17Be0MDcUepwQgudRcYhLyUDzalJ0fqizuARRHz+hVVP+p0ytm9riTdTPpT/kFxRiwLSF6D9lAeZv2I2oj5/qqVH0x6D6oNqmGVLvPuZrS/V7BJXmdmBJliUvqLVphrS7/It0pd15BDVH/rGrLujryEJTXQZBIRVpMMUlBKFvM2FnrVzteVJSbBQWl/K1FRWWoomt8JszSUkWnLro4PrdpHpr/VUQQuq9/VcR6XSayhw5cgR2dnZ49OgRzp8/L/CYu2HDhnz7DRo0QFRUxUDi5uaG4cOHQ0JCAo0aNYK5uTm8vb0xadIkvvNGjBgBCQkJFBQUgMvlQl1dXcCmNowfPx4jRpTlI27YsAF79+5FUFAQnJ2dER8fD3t7e7Ro0QJAWU59OVrfH0FqaGjw5fN37dqV7/qHDx+GmpoaAgIC0Ldv3x/qOXjwIBwcHLBhwwZem7u7OwwMDBAdHQ19fX24ubnh+PHj6NGjBwDAy8tLoF9/hqzsHJSWlkJNVZWvXU1FFZzMTKHnZGRmQk2lir2qKrhcLrKyc6ChroauHdshMzsbs5b8D4SU3YD17+WEkYMH1Fljdna2cI2qKuBwhGvkcDKhpqpSxb5cYzY01NVhYNAAC+bOhomxMfLy8nDxylXMXbgYh/buQYMG+nXWKU59qVpFo6qqag19yRFqX7kv34WH47bfHRzYKzjHoP4a+Z+KqKqpgcPJqF6jWhV7VTVwuVxkZ2dBXV0DHA4HalWuqaaqBg6Hg38z2ZllT/aUVdX52pVVNZCemvhT13YeMAH5ed+wcuYAsNgSIKVcuIycgVYdhM+XEAYnNw/cUgINJf60Hg0lBaRl59Z4bo//7QfnWx643FJM690eA9vyO685+QXosWI/iku4YLNZWDbUCY7W9VuBNzMnB9zSUqir8DtvaioqyMh8W69rAoBRAz2s+MsVZoYNkZuXD58bdzF1xSac2L4aBnp1e6IlDmNQfZDR0URhchpfW1FKOthSUpDWVENhUipkdDVRmJzOZ1OYnA4ZXcEUotqirlaWWpmRWcTXzsksgo62YD57OUEhGRju0hCv32bhS1I+mjdVQ/s2GmCzWULtO7bRhKKCJG74i6AT/x+OqNcXsXHitbW1MWXKFFy6dAkDBgh+mR89egQlJSXevqRkxVvLzMyEr68vAgMr7pxHjx4Nd3d3AQd9586d6N69OxISEjBv3jzMnTsX5ubmddbbpElFtEFBQQFKSkpISUkBAEyfPh2DBg1CcHAwnJyc4OLigrZt21Z3KQBASkoKVq5ciXv37iE5ORlcLhd5eXmIj4+vlZ5Xr17h/v37UFRUFDgWExOD/Px8FBUVwdGxIoKmrq4OK6ual7IuLCxEYWEhX5uMjEyN57AExhaCsoe81dnzHyu/6y5vDn3zDid9LmDOtMmwsTTHl8Qk7DvqgeNqahg7fHCNWmr/mjVKFPKmvmv8fpKNtTVsKuVCN7K1wZ+z5uLS1WuYMW1KvTQKfVmx6EtSY19Wta/cl3l5edi8bTvmzPoLKir1TwMQfM0qr0iIEB2V7Ks28CJBrGqNCIiQv5d48zzgBk4e/pu3/9fyPd//J/g3Z9X4BfoxLx7fxvOAG5g4dwP0DcyQEBsFH/dtUFHXQtsu/et0LYHPpIBiQTxmj0J+URHCYr9i95UHMNRUQ68WtrzjCjIy8FniirzCIjyPisP2i/fQUFMVLS2M6qSNX2fVltoorR47SzPYWVZMMG5ibY7xi9bi3A1/zJtY+3kFP6ORiTGozlSN7JaLq9wuzKYOEeEenbSxcEbFJOVFa998v24VQxZLsK0Su4/EYNFMS5w62BIEwNfEfNy4m4Te3XWF2vfpoYvnrzKQnlEk9DhFvBAbJx4oc8wrO+eVMTExEYjglXP69GkUFBSgdevWvDZCCEpLSxEeHg5b24qBWFdXF+bm5jA3N8e5c+d4EfPKNrWhagoOi8VCaWnZI69evXrh06dPuH79Ou7evYtu3bphxowZ2LZtW7XXGz9+PFJTU7Fr1y4YGRlBRkYGjo6OKCqq3RextLQU/fr1w+bNmwWO6enp4f3793V4dxVs3LgRa9as4WtbtWoVpowYKGCroqwENpuNjCpRWE5WlkAkuxx1VVVkZPJHLzOzsiAhIQHl7zdt7qfOwqlLR/Rx6gYAMDU2QkFBIbbvP4zRQwfWqXKFsrLyd42Cr1k14lSOmppgZJmT+V2jspLQc9hsNqwsLfDl69daa6uMOPVl1ehzVo19KRitzqzUl58+xSM5OQUr16zjHS93Anr1+wNuRw5BX0/v5zVmZgpE52vUmJX5XaNyDe+j+muKK01bdYKJZUUFlpLiYgBAdmY6VNUropI5WRkC0fm6csFrF5wHTkCr9s4AgIZGFshITcRNX49aO/FqCvKQYLOQlv2Nrz0jJxcaysIn3ZbTUFMVAGChr430nFwcvBnI58Sz2SwYapX9fa0b6iA2OR1ufs/q5cSrKilBgs1GemY2XzsnKxvqqtWnVtQVNpsNGzNjJCQm1/lccRiD6kNhcppARF1aSx2lxcUoSs8ss0lKg4yuJp+NjLa6QAS/JgKD0hEe/bLiNaTK3pe6mjTSORW/62oqUgLR+cpkZhdj2fp3kJZiQVlJCmkZRZg+zgSJyQUCtjpaMmjRVA3LN76rtc7fiShG4jkcDmbNmsWb19i/f3/s3bu3Wn8TEBaIKmPLli1YuHAhgLLy3QEBAXzHhw0bhrNnzwo7tVrEIif+Z3Fzc8P8+fMRGhrK216/fo0uXbrA3d292vPMzc0xaNAgLF269B/XpKWlhfHjx+PkyZPYtWsXL8e/vFoJl8s/E/3Ro0eYNWsWevfujUaNGkFGRoZvUuqPcHBwwLt372BsbMy7SSnfFBQUYG5uDikpKTx79ox3DofDQXR0dI3XXbp0KbKysvi26vpLSkoKluameBnKP3v/VWgY7KyFR/xtrS3xqor9y5DXsDI35d3QFRQWgsXi/yiz2WwQ1D1XTkpKChbm5ggOCeVrDw4Jha2N8KoittbWQuxDYGlhXu1NJyEEMR8/QqOek1vFqy/5JwyW9aXwEnQ2QvryVaW+NDBoiMP79+Hg3j28rU3rVmjapDEO7t0DLU1NodetSaO5uQVCqmgMCQmBTTUarW1sBO2Dg2FhYcHrR2trG4QKsbGxrb70njgiK6cAbT1D3qZnYAplVU2Ev64YR0qKixH97hVMrZrWcKUfU1RYIPDjyGazQUpLqzlDEClJCdgY6OJZZBxf+7OoODQ1aVDr6xAAxZXmaAi1IT+2qQ4pKUlYmRrhRRi/sxUUFo7GVnV/MlwdhBC8j0uo1+RWcRiD6kPms1BoduN/Mq7Voz2yXr0F+f735DwLhWY3/rkYmt3bg/NU+ORoYeTnc/ElsYC3xcbnIS2jEC2bVfwmSEqy0MxOFW8js2u4UhlFxQRpGUWQkGChU1stPHqWLmDTp7suOFlFePpC8JgoUEpIvbdfxciRIxEaGopbt27h1q1bCA0NxZgxY2o8JzExkW9zd3cHi8XCoEGD+OwmT57MZ3f48OE66/vXOPEpKSlISkri24qLixEaGorg4GBMmjQJdnZ2fNuIESNw/PhxFH+PHglj/vz5uHr1Kl6+fFmtTV1ZuXIlLl++jA8fPuDdu3e4du0az2HQ1taGnJwcb+JpVlbZ7HFzc3OcOHECEREReP78OUaNGgU5Oblav+aMGTOQkZGBESNGICgoCB8/foSfnx9cXV3B5XKhqKiIiRMnYuHChfD398fbt28xfvz4H0Y9ZGRkoKyszLfVlE4z5I++uHHHHzfu3MOnhM/Yf8wTyalp6Pe9TvBRr1PYsHMvz76/cw8kp6Rhv5snPiV8xo0793Dj7j0MHVAReWvbsgWu3PTDvYePkZiUjJchr+F+6izatmoBCQmJWvdROYMG/IFbfndwy+8O4uMTcPDIMaSkpvJqlbt5emHL9p08+z69nZGckoJDR90QH5/w/dy7GDywIu3rxOkzePkqGImJSYiJ+Ygdu/cg5mMs+vSqfT5vVcShLwcOcMEtvzu4/b0vDx05ipTUVPT53pfunl7Ysn0Hz77v9748fPQY4uMTcPv7uYO+96W0tDSMjY34NkUFBcjJycHY2Khek9AHDBgIv9u34Od3G/Hx8Thy5DBSU1PQu3dZ3XdPD3ds37aVZ9+7dx+kpCTj6JHDiI+Ph5/fbfj53cbAgRWP+vv/4YLg4Fc4d84HCQkJOHfOB6GhIfjjj9+T18sULBYL3fuOxM0Lbgh5dg9fPn2A576VkJaRReuOFZ91990r4HtyD2+/pLgYCbFRSIiNQklJMTIzUpAQG4WUxIp0wSYtO+LGeTeEvXyEtJSvCHl2D3eunoR9a/75Qj9iTJdW8H36GhefvsbHpDRsvXAXiRnZGNK+bFLi7isPsPz4VZ792Yev8ODNe3xKycCnlAxcehaG4/5B6NOy4gmEm99TPI2Mxee0TMQmpeP4vSBcC3rLZ1NXRvRzwhX/R7jq/whxn79il8dZJKdlYIBTJwDAgVMXsGbPMb5zomPjER0bj/yCAmRm5SA6Nh6xCRVP+9x8LuNZ6Ft8SU5FdGw81h/wQHRcAgY4da6XRnEYgyQU5KHc1BrKTcuCMPImDaHc1BqyBmVP7Kz+noemHhVPqD8dOQs5I33YbF0CRWtTNBw/CAYTBuHjjoqAX9y+49Ds0Q6mCyZDwcoUpgsmQ7ObI+L2etVZX2XOXfmCMUMM0bGNBkwM5bF8jhUKC7nwC0jh2ayYa4WpYyvmWthaKqGjoyb0dWTRxFYF29c0BpsNnPblT7VlsYDe3XVx614yuLW/7/2tkFJS7+1XEBERgVu3buHYsWNwdHSEo6Mjjh49imvXrvHNuaxK1UqJly9fRpcuXWBqyl9uVl5ens+uPimiYpVOUxPCcrefPn2KU6dOwdbWVmhtZhcXF0yfPh1Xr17FwIGC6R8A0LhxY3Tv3h0rV67EjWpKDNYVaWlpLF26FHFxcZCTk0OHDh14j1AkJSWxZ88erF27FitXrkSHDh3w4MEDuLu7Y8qUKbC3t4ehoSE2bNiABQsW1Po19fX18fjxYyxevBg9e/ZEYWEhjIyM4OzszHPUt27dim/fvqF///5QUlLC/PnzeTcR/xRdO7RDds43HPc+j4wMDoyNDLBp5TLofq+/ns7hICW14gmDnq4ONq5aigPHvHD5+m1oqKth5mRXXk1hABgzbBBYLBbcTp5BWkYGVJWV4diqBSaNHiHw+rWhc8cOyM7Owakz3sjIyICRkRH+XrMSOt8nU2dkcJCSWlFfV09XF+vXrMKho8dw9dp1qGuo48+pk/lqxH/7lotde/eDw+FAXkEB5mam2L55I6ythC/cUhvEpS9zsrNx6szZSn25qlJfZiC1Ul/q6uri7zWrcLhSX06fOkWgRvw/ScdOnZCdk40zp0+VLUhlbIQ1a9ZBW6dsol8GJwOpqRU/orq6ulizdh2OHjmMa9euQUNDHVOnTufViAcAW1tbLF6yFCeOe+HkiePQ1dPD4iVL//U14gGg54DxKCoqxKkjG5GXmw0TCzvMWXmQr0Z8RloSWJUCBJmcVKybP5y373f5OPwuH4dlo+ZYsK7MUR0xaTEunz6A00c2ICebAxU1LXR0Goy+Q+o2p8S5uQ2ycvNx5NZjpGbnwlxPE/unD4H+9xrxaVnfkMSpiHyWEoI9VwPwJT0Lkmw2GmqqYnb/ThjcrqISSX5RMTb4+CE5MwcyUpIw0dHA+rH94Ny8/k9eurdrhaycb3A/fxXpnCyYGjbA9mWzoadV9rQpnZOJ5DT+ydfjFlakNkZ+/AS/wOfQ1dLAxYNbAAA5ufnYfMgL6ZnZUJSXg6WJIQ6uXYRGFvWrZS8OY5BKczs4+p/g7dtuWwYASDjui7CJSyGjpwU5g4oUvPy4z3jRbwpsty+F0fRRKPyagndz1/NqxAMA52kIQkbNg9WaObBaMwt5MQkIGTn3p2rEA8CpCwmQkWZj3nQLKClKITw6G3NXhvHViNfRkkVln1Vamo3Jo42hryuH/AIunr1Mx7odkfiWy/80v0UzNehqy+L6HdGb0FrOzzxpqW5+3o/m6NXE06dPoaKiwpeK3aZNG6ioqODJkyc/nDMIAMnJybh+/Tq8vARv8E6dOoWTJ09CR0cHvXr1wqpVq/jmdtYGFvkv1+ah/DK+Rv3cYPar0bdqgk8fqr+TFhWMzK3Eoi/jPtScdsU0xuaW+BATy7SMH2JuVr9qJr+bgHfVryApCnRqJI8CP8GVSUUNWacJyHgT+GNDBlFv3F4sxqDrUj92qJimT3EU2vcL+LEhgwRe7cTYa49eXr85YgBgLnVE6Py81atX1/uaGzZsgKenp0BasaWlJSZMmFCrVOstW7Zg06ZN+Pr1K2RlK6oMHT16FCYmJtDV1cXbt2+xdOlSmJub486d2q1nUM6/JhJPoVAoFAqFQvnvsXTpUsybN4+vrboo/OrVqwUc/qq8ePECgPBJqj+qXlYZd3d3jBo1is+BB8ry4cuxs7ODhYUFWrRogeDgYDhUWWOkJqgTT6FQKBQKhUJhlJ/Jba9L6sxff/2F4cOH12hjbGyMsLAwJCcLVm5KTU2Fjs6P11V49OgRoqKi4O3t/UNbBwcHSElJ4f3799SJp1AoFAqFQqGID78ru1tTUxOatahk5ujoiKysLAQFBaFVq1YAgOfPnyMrK+uHa/sAZZURmzdvjqZNf1yZ6927dyguLoZeHUokA/+i6jQUCoVCoVAoFPGElJbWe/sV2NjYwNnZGZMnT8azZ8/w7NkzTJ48GX379uWb1GptbY2LFy/ynZudnY1z584JLCgKlC2wuXbtWrx8+RJxcXG4ceMGhgwZAnt7e7SrYxEH6sRTKBQKhUKhUBiltJTUe/tVnDp1Co0bN4aTkxOcnJzQpEkTnDhxgs8mKipKoJLf2bNnQQjBiBGCVZWkpaXh7++Pnj17wsrKCrNmzYKTkxPu3r1b5zKqNJ2GQqFQKBQKhcIoolgsUV1dHSdPnqzRRpjuKVOmYMoU4eVvDQwMBFZrrS80Ek+hUCgUCoVCoYgZtE48hUKhUCgUCoVRhsyt/1oe53aKxxob/zQ0nYbyS8gMfcC0hBpRbdYZUTEJTMv4IVZmBnjzQbDElSjR2FwH0THxPzZkEEszQ8TGfGBaxg8xMTNnWkKtyAq+y7SEGlFx6A6fpyK6tnwlhjqy8Szyn10V+5+mjbWKWIznor6IElC2kJKoL0rVp5i5RRB/psTkfxXqxFMoFAqFQqFQGKWUiP6Nt6hBnXgKhUKhUCgUCqPQSHzdoU48hUKhUCgUCoVRqBNfd2h1GgqFQqFQKBQKRcygkXgKhUKhUCgUCqPQYol1hzrxFAqFQqFQKBRGKS2lE1vrCnXi/0U8efIEHTp0QI8ePXDr1i2m5VTL+dsPcPKqH9Izs2DSUB9zxw2FvY2FUNs0ThZ2nziHyI/xSEhKwVDnLpg3fhifzfQ12xEcHi1wblt7O+xcMrPeOgkhOHPqOPxu3cC3bzmwtLLGtD9nwdDIuMbzngQ+xKkTnkhMTISenh5Gj3OFY9v2vONv34Th4gUfxHx4j4yMdCxbsQZt2rart0af0x64e+sqcr/lwNzKFpOnz4WBUc01c589foCzJ9yQlPgVunr6GDF2Mlq37chnk56WipMehxDy6jmKigqhr2+A6bMXw8yibiXSyvrxBG7fuo5v375978eZMPpBPz4OfMTXj2PGTRDoR98L5xDzIRoZGRlYtmI1HOvZj1evXcP5C77IyMiAkZEhpk2ZAjs7u2rtw968wZGjR/HpUzw0NNQxZNBg9OnTm3c88PFjeHv74GtiIkpKStCggT4GDhiI7t261kufOHHe7yFOXLuL9MwsmDbUw9yxg2FvLbx0ZhonC7tO+iIyNh4JSakY1rMz5o0bzGdTUsKF5+XbuP7wOVI5mTDU08HMEX/AsVmjn9JJCMH9S/vxMsAH+bnZaGjaBH3H/g86DYSPRQDw7qUfHl47gozkeHC5JdDQMUI75/Fo1u4Pnk3AtSOIeHUHqYkfISUlCwNzezgNnQ8tvbrXsSaE4NLZo3hw+xJyc3NgZtkIY6YuRENDs2rP+Rwfg4unjyAuJhJpKYkYOXEuevbnX/rd/+Z53Lvpi7SURABAA0MT/DFsEpo2b1tnjf/0eA4AZ67fhe+dh0hOy4CKsiK6tnbAnyMGQEZaqs76KuM6wgj9e+pBSVES4dE52HHoPWLj86q1l5BgYcwQQ/TqqgNNDRkkfMnDQc+PeB7M4dmcO9YaejqyAuf6Xv+CHYdqV9ZWvX0LmM6fCBUHO8jqa+PloD+RfMW/5nM6tITttiVQtLVA4dcUxGw/hvgjZ/lsdAc4wXL1bMibGSIvJh5RK3ci+bLoloelOfF1h+bE/4twd3fHzJkzERgYiPh40azbfefJC+z08sGEAb1xfNMKNLM2x9yNe5GUliHUvqi4GKrKSpgwoBcsjBoKtdk0fxpuHN7C285sWwUJNhvd2jT/Ka2+571x+eIFTJn+F7bv2g81NXWsXL4YeXnVD/qREeHYsulvdO7aHXv2H0bnrt2xZeM6REVG8GwKCwpgYmKKKdP/+il9AHDp/Glcu+iDidPmYNPOI1BVU8faFfOQX4PGqIi32LFpDTp27Ynt+9zRsWtP7Ni0CtGR4Tybbzk5WLFwBiQlJbF8zRbsOngcYyfNgIKiYp01XjjvjUsXL2Dq9L+wY9e+OvVjl67dsWf/IXTp2h2bN/7N148F3/tx6k/2Y0DAQxw+chTDhw3D/r17YNfIDitWrkJKSopQ+6SkJPxv5SrYNbLD/r17MGzoMBw8fBiBgY95NkpKShg+fBh2bt+Ggwf2w6l7D+zYuRMvX736Ka2izp2nr7Dj+HlMcOmJExuXopmVOeZs2l/997ukBGrKipjg4gwLwwZCbQ76XMVF/0AsGD8E3lv/h4Hd22PRjqOIiv25dR4e3TiGJ7c90Wf0Ckxb5QNFFU14bZ2Iwvzcas+RV1BFp35TMfl/Z/DX35fg0GEALrotx/s3gTybuMgXaNV1JKb87yzGLXRDaWkJvLZNRFFh9Z/36rjhexy3Lp/BmKkLsXqbJ1RUNbB15Uzk51WvsaiwEFo6DTBkzAyoqGkItVHX0MHQsTOwZrsn1mz3hG3jFti9YQE+x8fUSd+vGM9vPXqOA2cuYtLgvji7YzWWTx2Lu09f4sCZi3XSVpVRgwwwzKUhdhz+gEnzgpHOKcLOtU0gJydR7TlTRhvjD2c97Dz8AWP+fIFLN79iw7JGsDCtGAcnzwtG/zFPeNucFa8BAPcDU2utTUJBHtlhUXg3e22t7OWMG6Ll1SPICHyFwJYu+LD5EBrtXA7dAU48G9U2zWB/eie+nLqMR83/wJdTl+FwZhdUWzWpta7fDSGl9d7+q1An/l9Cbm4ufHx8MH36dPTt2xeenp58x69cuQILCwvIycmhS5cu8PLyAovFQmZmJs/myZMn6NixI+Tk5GBgYIBZs2YhN7f6H4v6cOb6XfTv2g5/dGsPk4Z6mDd+GHQ01HDBT/hCHframpg/fhh6d3KEorycUBsVRQVoqKrwtudh4ZCRkf4pJ54QgiuXfDF0+Ei0bdcBRsYmmDN/EQoLC/Dwwb1qz7ty6QKa2TfHkGEj0dDAEEOGjUSTZva4ctmXZ9O8ZSuMHueKtu061Ftfucbrl89h4LAxaNOuEwyNTTFz3jIUFhbiUcCdas+7fvkcmti3wMCho9HAwAgDh45G46bNcf3yOZ7NpfOnoKGljRlzl8LCyhbaOnpo0qw5dPWEO1o1abxy6SKGDh/B68e58xeisLAQATX04+VLvt/7cQQMDAwxZNgINK3Sjy1atsKYcRN+uh99L15ETycn9HLuCUNDQ0ybOgVaWpq4dv2GUPvrN25AW1sL06ZOgaGhIXo594RTjx4471uhrWmTJmjXti0MDQ2hr6cHF5c/YGJignfvwoVe89/C6ev+6N/FES5d28GkgS7mjRtc9v2+80iovb6WBuaPG4I+HVtX+/2++SgI4116op29HRroaGJwj45o3dQGp67XHKmsCUIInvodR8d+U9GohRN0Glpi0ORNKC4sQNiza9WeZ2LTCrbNe0Bb3wzq2oZwdBoLHQNLfIquuDkbt+AoHDoMgE4DC+gZWmPgxA3ISk/E17h3ddZ4++pZ9B8yHi0cu6ChkRkmz1mFoqICPHt4u9rzTC1sMXzCLLTp6AQpKWmhNvatOqBpi3bQbWAE3QZGGDzmT8jKyiMm6m2dNP6K8fzN+49oYmWGnu1bQV9bE22a2sKpbUtEfPxUJ21VGdK/AY77xOPh0zTExudh/c5IyMhIwKmTdrXn9OyigxM+8Xj2KgNfkwtw6WYinodwMNyl4gYkM7sYGZkVW9uWGvj8NR8hb2u/iFfq7YeIXrULSZeqH7crYzRlOAriExE+fwO+RX5Egvt5JHj6wnSeK8/GZOY4pN19gpgtR5Ab9RExW44g7d4zGM8cV2tdFNGHOvH/Ery9vWFlZQUrKyuMHj0aHh4evEkicXFxGDx4MFxcXBAaGoqpU6di+fLlfOe/efMGPXv2xMCBAxEWFgZvb28EBgbir79+PlpcTnFJCSI/xqN1E1u+9lZNbfEmum4RoJq4ev8xerRtATlZmXpfIzkpERxOBpo5VNwISElJo1HjJoiIqP7HODIyHPYO/DcPDg4tEBletx/w2pCSlIhMTgaaOrTk02hr1xRREdX/GEdHvkNT+5Z8bU0dWvGd8/L5Y5iZW2HbhpVwHdkfC2ZOxJ1bV+usMTkpCRxOBuwdWvBptGvcBJER1Tu0wvrR3qEFIsL/WSe4uLgY7z98gIODPV+7g70DIiIihJ4TEREJB3sHvrbmzR3w/v17lJSUCNgTQhASGorPnz+jcQ0pOuJOcUkJImMT0LqJDV976yY2CIv+WO/rFpWUQFqKP41CVkoKr6PqP2ZwUj/jW1YazO0q0q8kpaRhbN0S8R9CanUNQghiwp8iLTEOxlYtqrUryM8BAMgpqNRJY2ryV2Rx0mFn34bXJiUlDatGDngfGVana9VEKZeLZw/9UFiQD3OrxrU+71eN502tzBH5MR7vPsQCAL4kp+JJyFu0s6+9tqro68hCU10GQSEVaTDFJQShbzNhZ61c7XlSUmwUFvNHeYsKS9HEVvjfUlKSBacuOrh+N6neWmuDaptmSL37mK8t1e8RVJrbgSVZliWt1qYZ0u4G8tmk3XkENUf+sU6UIKWk3tt/FZoT/y/Bzc0No0ePBgA4Ozvj27dv8Pf3R/fu3XHo0CFYWVlh69atAAArKyu8ffsW69ev552/detWjBw5EnPmzAEAWFhYYM+ePejUqRMOHjwIWVnBnD8AKCwsRGFhIV+bjIxw5zkz+xu4paVQV+EfNDVUlPAsM7te77sq7z7EIibhK5ZPG/tT1+FwygZ7VVU1vnZVVTWkpiRXe14mhyP0nPLr/ZNwOOnfr69e5fXUkZpa/Y9IJicDqmpVNKqpIZNT8Qg8OSkRfjcuo++AoRg4bDQ+REfA4/BuSElJoXM35zpozPiuSbWKRjWkiEA/Zmdno7S0FGpV9KmpqSKjmtficDhQU6tir6oKLpeLrOxsaKiX/T1yc3MxasxYFBcXg81m468ZfwrcLPybKP9+a1T5fqurKCE9q/7f7zZNbHD6uj/src3RUEcTL95GIeBVGEp/4of7W1YaAEBRWZOvXVFZA5npX2s8tyAvB1vndkZJSRHYLDb6jl3JdzNQGUIIbp7ZDCPL5tBpaFknjVnfv9/KKvzfb2VVdaR/z2X/GRLiPmDd4okoLiqCrJwcZi3dggaGprU+/1eN507tWiIzOwdTVm4FAQGXW4pBPTphnEvtx52qqKuVPZHIyCzia+dkFkFHW/hvGwAEhWRguEtDvH6bhS9J+WjeVA3t22iAzWYJte/YRhOKCpK44f9rnXgZHU0UJqfxtRWlpIMtJQVpTTUUJqVCRlcThcnpfDaFyemQ0dX6pdp+hv+yM15fqBP/LyAqKgpBQUHw/f44X1JSEsOGDYO7uzu6d++OqKgotGzJH3lt1aoV3/6rV6/w4cMHnDp1itdGCEFpaSliY2NhY8MfXStn48aNWLNmDV/bqlWrMMelc7V6WVXGP0IE2+rLlXuPYWagj0bmdZtE9uC+Pw7s3cnbX7mm7AaHVR+xVY4TwaZ68fC+H47s287bX7p6s7CXAwEBCzW/YNXjhBC+90pIKUzNrTBq3BQAgKmZJRI+xcHvxuUanfgH9/2xf+8u3v7KNX9/11jz6wnVKHCY/GOfkx+92I/1VbUXbJWTk8OBfXuRn5+P0NevceToMejq6qJpE9HNSf0VlH1l6v+Hmz9uMNYfPY2h89eCxWKhgY4m+nVyxNWAp7W+xusnV3HFazVvf/TcgwCEjUUEVf+2VZGWVcCfa31RVJCHj+HPcOvMZqhrGcDEppWA7bUT65CcEIVJy08JuRI/Tx7cgufBjbz9ef/b+V2j4Bj0M/1Zjl4DI6zbdRJ533Lw4ul9HN29BkvXH6qTI1+mT0DeT31PX72LgsfFm1g0cSQaWZjgc1IKdnh6Q+OCCiYO6lOra/TopI2FMypumhatffNdnBDxNfiNu4/EYNFMS5w62BIEwNfEfNy4m4Te3XWF2vfpoYvnrzKQnlEk9Pg/StVyjOWdXrldmI0Il3Es/Q/nttcX6sT/C3Bzc/teAaMiX5kQAikpKXA4HKEOSdV6rKWlpZg6dSpmzZolcH1DQ8NqX3vp0qWYN28eX5uMjAzyIwR/YFWVFSHBZiO9SpQmIztHIJpTHwoKi3DnyQtMGdq/zue2au0ISytr3n5JcTGAskiyunrF5LDMrEyBCHFlqka0ASArUzCqXB9atm4PC6uKR9eVNaqpV0QUszI5UFGrSaM6L0JecU4mVCppVFXTgIGhMZ9NQwMjPH8iPNe1nKr9WMzTyOHrx6xa9GPVqHtmZs3n1AdlZWWw2Wwhr5UlEJ0vR02YtqxMSEhIQFm54nPMZrOhr68PADAzM0N8fAK8fc79a5143ve7StSdk50DdWWlel9XTVkJ2+ZPRWFRMbK+5UJLTQX7zlyGvpbwSZvCsLbvioZmFf1eUlLmZOVkpUFJtSInOjcnA4oqNV+XzWZDQ8cIAKBnZIPUxBg8vH5EwIm/duJvRIbex6SlJ6CiLtzpq4x9qw4ws6qouFNcXKYxKzMdqpW+39lZHChXefpWHySlpKCjZwAAMLGwRez7cPhd88aEP5fW6vxfNZ4f9rmCXh1b449uZZWozA0bIL+wEBuPnMSEAb3AZv84CzgwKB3h0S95+9JSZeeoq0kjnVPhYKupSAlE5yuTmV2MZevfQVqKBWUlKaRlFGH6OBMkJhcI2OpoyaBFUzUs3/jPp05WpTA5TSCiLq2ljtLiYhSlZ5bZJKVBRpf/SZOMtrpABF+UoJH4ukNz4sWckpISHD9+HNu3b0doaChve/36NYyMjHDq1ClYW1vjxYsXfOe9fPmSb9/BwQHv3r2Dubm5wCYtLXxyFFDmsCsrK/Nt1aXTSElKwtrUEEFh/LnGQWERaGxZfcm02nL36UsUl5SgV4fWdT5XXl4e+voNeJuBoRHU1NQRGhzMsykuLsa7N2Gwsam+tJ21tS1CQ4L52kKCX8Ha9ufK4QGAnLw89PQb8raGhsZQVVNHWEjF37K4uBjhb1/Dyqb63GtL60YIC+X/PLwOecF3jrVtY3z5wl/94+uXBGhq6dSosWo/GvL6sWLiX3FxMd6+CYO1jW211ynrR/5KLiHBr2BjW/059UFKSgoW5uYICeHPgw4JCan26ZONjbWAfXBwCCwsLCApWX1chIDwbmr+jUhJSsLaxABBYZF87UFvItHEsm7RXWHISEtBW10VXG4p7geFoFOL2t8MycgpQEPHiLdp65tDUUUTMe+e8GxKSooQF/kChuZ1S3kihKCkuIhv/9qJdQh/dQeuizygpiW8CktV5OQVoKNnwNsaGJhCRU0Db0OfV2gsLkbUu2BYWP+KG0H+9/EjftV4XlBYBHaVoBObzQZIjUFzPvLzufiSWMDbYuPzkJZRiJbNKoIAkpIsNLNTxdvIH6f+FBUTpGUUQUKChU5ttfDoWbqATZ/uuuBkFeHpC8Fj/zSZz0Kh2Y2/HKhWj/bIevUW5Pu8HM6zUGh240/z0uzeHpyntZvzwQSktLTe238VGokXc65duwYOh4OJEydCRYV/ss3gwYPh5uYGX19f7NixA4sXL8bEiRMRGhrKq15THqFfvHgx2rRpgxkzZmDy5MlQUFBAREQE7ty5g7179/5jekf06Y7V+zxgbWaExhamuOT/CMlpGRjYo6xG+f7TF5GakYnVf03gnRMdV+ZM5hUUIDP7G6LjEiApKQHThvp8175y/zE6tmgGFaW6l0GsCovFQn+XgTjvcxr6Dcoc0nPepyEjI4uOnStqfe/ctgnqGpoYN2ESAKDfHwOxdNFcXDh3Fq3btMXzZ0/wOjQYm7bu4p2Tn5+PxK9fePvJyYn4GPMBSkpK0NKu2UmuqrHPH0Pg63OS59j7+pyEjIwMOnTqwbPbs309NDQ0MWr8VABA7/6DsXLxLFw8dwqt2rRH0LNAvAl9iXVb9vPO6esyBMsX/IkL3ifQtkMXfIiOwN1bVzF15oJ69OMAnPM5w+tHH+8zkJGRQadK/bhj22ZoaGhi3ISJAID+fwzAkkXzcL5KP27eWpHyJNiPSfgY8wGKSsrQ1q6+4kRVBg4YgK3bt8PCwgI21ta4eesWUlJT0ad3Wd13dw9PpKenY+GC+QCAPr1748rVazh85Ch6OfdERGQkbvv5YcmiRbxrnvX2gaWFBfT0dFFSUoKgFy/h738Pf82YUaf+EzdG9umGVfu9YGNqiMaWprjoH4iktAwM7F4WVd1/5jJSOJlY82dFhYyK73chODk537/fkjBtqAcAePshFqkZWbA0aogUTiaOnr+OUkIwpl8PQQG1hMViwdFpLB5ePcJz7AOuHYGUjCyatOnLszt/ZDGU1XTgNKTsaWPAtSNoYNwI6tqG4JYUIzrsIUKfXEG/sSt551w7sRZhT69j5Ox9kJZVQE5mWalBWXklSElXn38tTGPPfsNx7bwndPQMoKtviKvnPSAtLYs2HXvy7A7vXAU1DW0MHVv22SopLsaXhFje/znpqfj0MRqycnK8yPu5EwfQxMER6po6KMjPw/NHfoh4G4wFq3bXqR9/xXjeoXkTnL5+F5bGhrCzMEFCUgqOeF9BhxZNIFGLKHx1nLvyBWOGGOLz1zwkfM3H2KGGKCzkwi+gopTsirlWSE0vwuHjZf1na6kETQ0ZfPj4DZoaMnAdaQQ2Gzjty1/CmcUCenfXxa17yeDWw5+UUJCHgnnFE295k4ZQbmqNoowsFCQkwurveZBtoIPXExYDAD4dOQujP0fBZusSJLj5QLWNPQwmDELI6Pm8a8TtO442907CdMFkJF/1h06/btDs5oinnUfWXSBFZKFOvJjj5uaG7t27CzjwADBo0CBs2LABHA4H58+fx/z587F79244Ojpi+fLlmD59Oi9q3qRJEwQEBGD58uXo0KEDCCEwMzPDsGGCC3H8DD3atkRWTi7cL1xHGicLpgb62LnkL+h9fzSenpmF5HT+VI8xi//m/T/yYzxuPw6CnpYGLu3bwGuP/5qM15EfsGf57H9M68DBw1BYWIhD+/d8X+zJBmv+3gR5eXmeTWpqCliVflhsbBth4ZIVOHncA6dOeEJXTx8Ll6yAlXVFVPfD+ygsX1LhDLsdPQQA6NrdCXPmVTiCtcFl8EgUFRXi6IEdyP32DRZWNvjfuu2Qq6QxLTWZL7JlbdsYcxevwpkTx+B90g06uvqYu3g1LK0rotzmljZYuGI9TnsexvkzXtDW0cX4KTPRsYsT6sqgwcNQVFiEg/v38hbNWiu0Hys02tg2wqIly3HiuCdOnfCCrp4eFi1ZXqUfo7FMaD/2wNw69GOnTh2RnZONU6fPgJORASNjI6xbswY6OmU3AhmcDKSkVtR81tXVxbq1a3D4yFFcu3YN6hoamD51Ktq3r4h6FRQUYN+BA0hLS4O0tDQMDBpi0YIF6NSpo8Dr/5vo4dgcWTm5cPO9ibTMbJgZ6GHn4j953++0zCwkp/GnIo1euon3/8jYeNx+/BJ6muq4vHcdAKCoqASHfK7iS0oa5GRk0Na+Edb8OQ5KCvL4GTr0noSSokJcPb4WBbnZaGjWBOMWHIOMnALPJis9EWxWxfe7uDAPV0+sRXZGMqSkZaGpZ4LBUzajceuKhb6C7pUtuOO+ib+U34CJG+DQYUCdNPYeOBZFRYU4fngL8r7lwNSyERau2Qs5+QqNGWnJfCkmnIxUrJw7mrd/89JJ3Lx0EtZ2Dli6vuw7kp2ZjiO7ViMzIw1yCoowMDLHglW7Ydesbk8xf8V4PmFgb7AAHPa+jNSMTKgqK6J98yaYPtylTtqqcupCAmSk2Zg33QJKilIIj87G3JVhyM/n8mx0tGRROaNDWpqNyaONoa8rh/wCLp69TMe6HZH4lsvlu3aLZmrQ1ZbF9Tv1m9Cq0twOjv4nePu225YBABKO+yJs4lLI6GlBzkCPdzw/7jNe9JsC2+1LYTR9FAq/puDd3PVIuujHs+E8DUHIqHmwWjMHVmtmIS8mASEj5yIz6J+rbPRPQ9Np6g6LVE2OpvwnWL9+PQ4dOoSEhJ9bMKU6MkMf/JLr/lOoNuuMqJhf897/SazMDPDmQ/VVXESBxuY6iI4RzcXFyrE0M0RsTO1WT2QSEzPhK5uKGlnBorvqIwCoOHSHz1PRf8Q+1JGNZ5G1ryfOBG2sVcRiPG/fr+b5OqJA4NVOuC5VtxWvfzd9iqMYe+1uw4Pqfa7/WcGJ5f8FaCT+P8KBAwfQsmVLaGho4PHjx9i6des/WgOeQqFQKBQKpb78TNnY/yrUif+P8P79e/z999/IyMiAoaEh5s+fj6VLa1eFgEKhUCgUCuVX8l+eoFpfqBP/H2Hnzp3YuXPnjw0pFAqFQqFQfjM0J77u0BKTFAqFQqFQKBSKmEEj8RQKhUKhUCgURiF0xdY6Q514CoVCoVAoFAqj0HSaukOdeAqFQqFQKBQKo9CJrfWAUCgiTkFBAVm1ahUpKChgWkq1UI3/HOKgk2r85xAHnVTjP4c46KQaKeICXeyJIvJkZ2dDRUUFWVlZUFZWZlqOUKjGfw5x0Ek1/nOIg06q8Z9DHHRSjRRxgVanoVAoFAqFQqFQxAzqxFMoFAqFQqFQKGIGdeIpFAqFQqFQKBQxgzrxFJFHRkYGq1atgoyMDNNSqoVq/OcQB51U4z+HOOikGv85xEEn1UgRF+jEVgqFQqFQKBQKRcygkXgKhUKhUCgUCkXMoE48hUKhUCgUCoUiZlAnnkKhUCgUCoVCETOoE0+hUCgUCoVCoYgZ1ImniByEELx8+RLnz5/HhQsXEBwcDFGbf+3q6oqcnByB9tzcXLi6ujKgSJDjx4+jsLBQoL2oqAjHjx9nQJFwxKEvHz58iJKSEoH2kpISPHz4kAFFgnTt2hWZmZkC7dnZ2ejatevvF0T5z3Py5Mlqjy1cuPA3KqFQ/p3Q6jQUkeL+/fuYOHEiPn36xHPcWSwWTExM4O7ujo4dOzKssAwJCQkkJiZCW1ubrz0tLQ26urpCHb7fTXUa09PToa2tDS6Xy5Ayfmhf/jOw2WwkJSUJaExJSUGDBg1QXFzMkDLKfxVVVVWcPHkSffv25WufO3cuzp49i8TERIaUAfPmzau17Y4dO36hkrpRVFSE2NhYmJmZQVJSkmk5FIahnwCKyPDhwwf07dsXrVu3xs6dO2FtbQ1CCMLDw7Fnzx707t0bYWFhMDU1ZUxjdnY2CCEghCAnJweysrK8Y1wuFzdu3BBwopiCEAIWiyXQ/vnzZ6ioqDCgiJ9/Q1+mp6dDQUGBAUUVhIWF8f4fHh6OpKQk3j6Xy8WtW7fQoEEDJqT9KykoKMC+ffuwYMECpqWIPGfPnsXw4cNx5coVXgBm5syZ8PX1xf379xnVFhISwrf/6tUrcLlcWFlZAQCio6MhISGB5s2bMyFPgLy8PMycORNeXl4AyvSZmppi1qxZ0NfXx5IlSxhWSGEC6sRTRIZdu3ahTZs28Pf352u3trbGgAED0L17d+zcuRN79+5lSGFZZInFYoHFYsHS0lLgOIvFwpo1axhQVoG9vT1PY7du3fiiNVwuF7GxsXB2dmZQYRni0JcDBw7kaRk/fjzfwipcLhdhYWFo27YtU/IAAM2aNeP1o7C0GTk5OUa/M5Up/2z+iODg4N+gpnrS0tLw/PlzSElJoVu3bpCQkEBxcTEOHDiAjRs3oqSkhHEnvvyz+SN8fX1/sZLqcXZ2xqFDh+Di4gI/Pz+4u7vj8uXLuH//vtDv/O+k8k3Ejh07oKSkBC8vL6ipqQEAOBwOJkyYgA4dOjAlkY+lS5fi9evXePDgAd/43b17d6xatYo68f9RqBNPERkePHiAjRs3Cj3GYrEwZ84cLF269Der4uf+/fsghKBr1664cOEC1NXVecekpaVhZGQEfX19BhUCLi4uAIDQ0FD07NkTioqKvGPS0tIwNjbGoEGDGFJXgTj0ZfkTC0IIlJSUICcnxzsmLS2NNm3aYPLkyUzJAwDExsaCEAJTU1MEBQVBS0uLd0xaWhra2tqQkJBgUGEF5Z9NoKxPN27ciGnTpvH97ZnmyZMn6NOnD7KyssBisdCiRQt4eHjAxcUFpaWlWLFihUjM1aj6NO306dPo168flJSUGFIknOHDh4PD4aB9+/bQ0tJCQEAAzM3NmZbFx/bt2+Hn58dz4AFATU0Nf//9N5ycnDB//nwG1ZVx6dIleHt7o02bNnw3wra2toiJiWFQGYVJaE48RWRQVlZGWFgYjI2NhR6PjY1FkyZNhE6C/N18+vQJhoaGtYoqMoWXlxeGDx8u8styi0NfrlmzBgsWLGA8debfhpKSEl6/fs1oilxVunXrBi0tLaxYsQLu7u7YtWsXjI2NsXr1aowZM0ZkP6ei0pfV5ZqfP38e9vb2MDMz47WJSq65kpISLl++LPAk6969e/jjjz9E4jdHXl4eb9++hampKd/f+vXr1+jYsSOysrKYlkhhAFqdhiIyfPv2DfLy8tUel5eXR15e3m9UVD0RERF4/Pgxb3///v1o1qwZRo4cCQ6Hw6CyCrp27YrU1FTeflBQEObMmYMjR44wqEoQcejLRYsW8Tlvnz59wq5du+Dn58egKn68vLxw/fp13v6iRYugqqqKtm3b4tOnTwwqEy9ev36N//3vf7Czs8Pff/8NFouFzZs3Y+zYsSLrwIsSISEhQjczMzNkZ2fz9kNDQ5mWymPAgAGYMGECzp8/j8+fP+Pz5884f/48Jk6cWOu0pV9Ny5Yt+b7f5Z/Fo0ePwtHRkSlZFKYhFIqIwGKxyP3798nr16+Fbv7+/oTNZjMtkxBCiJ2dHbl+/TohhJCwsDAiLS1Nli5dSlq3bk3Gjx/PsLoy2rdvT44fP04IISQxMZEoKSkRR0dHoqGhQdasWcOwugrEoS979OhBDh48SAghhMPhEG1tbdKwYUMiKytLDhw4wLC6MiwtLYm/vz8hhJAnT54QOTk5cvjwYdKvXz8yYMAAhtUJR1FRkcTExDAtgw8Wi0WSk5N5+4qKiuT9+/cMKqodotiX4kJubi6ZPn06kZGRIWw2m7DZbCItLU2mT59Ovn37xrQ8Qgghjx8/JkpKSmTatGlEVlaWzJ49m3Tv3p0oKCiQly9fMi2PwhDUiaeIDCwWi7DZbMJisQS28nZRceIVFBRIbGwsIYSQVatWkUGDBhFCCHn16hXR0dFhUFkFqqqqJDIykhBCyO7du0nbtm0JIYTcvn2bmJiYMCmND3HoSw0NDfL27VtCCCFHjx4lTZo0IVwul/j4+BBra2uG1ZUhJydHPn36RAghZNGiRWTMmDGEEELevn1LNDU1mZRWLaLoeLLZbPLhwweSlZVFMjMziZKSEnn9+jXJysri20QNUexLcePbt2/k9evXJDQ0VGSc98qEhYWRsWPHkkaNGhEbGxsyatQoEhYWxrQsCoPQia0UkSE2NpZpCbVGWlqal9pz9+5djB07FgCgrq6O7OxsJqXxKC4u5uXD3717F/379wdQVu2HyfrMVRGHvszLy+NNGPTz88PAgQPBZrPRpk0bkUlVUVRURHp6OgwNDeHn54e5c+cCAGRlZZGfn8+wujL27NnDt19SUgJPT09oamrytc+aNet3yuKDEMJXOYUQAnt7e759FovF+NoAV65c4dsvLS2Fv78/3r59y9de/r1nihcvXuDcuXOIj49HUVER3zEmK+cIIzExEYmJiejYsSPk5OSqLS3LFI0bN+aVmKRQAFqdhiJCGBkZMS2h1rRv3x7z5s1Du3btEBQUBG9vbwBltXsbNmzIsLoyGjVqhEOHDqFPnz64c+cO1q1bBwD4+vUrNDQ0GFZXgTj0pbm5OS5duoQBAwbg9u3bPAc5JSUFysrKDKsro0ePHpg0aRLs7e0RHR2NPn36AADevXtX7WTx383OnTv59nV1dXHixAm+NhaLxagTz3T98tpSudJPOVOnTuXbZ/pm4+zZsxg7diycnJxw584dODk54f3790hKSsKAAQMY01WV9PR0DB06FPfv3weLxcL79+9hamqKSZMmQVVVFdu3b2daYrUBDRaLBRkZGUhLS/9mRRRRgDrxFJGh8qI1NdGkSZNfrOTH7Nu3D3/++SfOnz+PgwcP8hbTuXnzpkjUYAeAzZs3Y8CAAdi6dSvGjRuHpk2bAiiL4LVq1YphdRWIQ1+uXLkSI0eOxNy5c9G1a1feRDI/Pz++KC2T7N+/HytWrEBCQgIuXLjAu1F79eoVRowYwbC6MsThaVunTp2YllArSktLmZbwQzZs2ICdO3dixowZUFJSwu7du2FiYoKpU6dCT0+PaXk85s6dCykpKcTHx8PGxobXPmzYMMydO1cknPjydTWqo2HDhhg/fjxWrVoFNpvWLPmvQEtMUkQGNpsNFouFmj6STEeWxA0ul4vs7Gy++sdxcXGQl5cXmdVQxYWkpCQkJiaiadOmvB/JoKAgKCsrw9rammF14kHXrl3h6+sLVVVVpqVUi4+PD1xcXHiRzbi4OBgYGPBq7efl5WHfvn1YtGgRkzLh6uqK3bt3i1xd+MooKCjwngRpamri/v37aNy4MSIiItC1a1eRSevT1dXF7du30bRpU77yjbGxsWjcuDG+ffvGtEQcP34cy5cvx/jx49GqVSsQQvDixQt4eXlhxYoVSE1NxbZt27Bw4UIsW7aMabmU3wR14ikiQ21zi0Ul7YbL5eLSpUuIiIgAi8WCjY0N/vjjD5FZWKec1NRUREVF8VZGrbwYkKggLn0JAJ8/fwaLxeI9MRAlMjMz4ebmxtePEydOFFgYiCnYbDaSkpJE+gZSQkICiYmJPI3KysoIDQ3l1V9PTk6Gvr4+48GEqjpFEQMDA9y4cQONGzdG06ZNsWTJEowYMQJPnz6Fs7OzyNQ2V1JSQnBwMCwsLPic+BcvXsDZ2Rnp6elMS0S3bt0wdepUDB06lK/dx8cHhw8fhr+/P06cOIH169cjMjKSIZWU3w5TM2opFHHm/fv3xMLCgsjLyxN7e3vSrFkzIi8vT6ysrMiHDx+YlkcIKau0MGHCBCIhIcGr8iMpKUlcXV1Jbm4u0/J4iENfcrlcsmbNGqKsrMwrQaeiokLWrl1LuFwu0/IIIYS8ePGCqKurkwYNGpABAwYQFxcX0rBhQ6KhoUFevXrFtDxCiGD5RlFEWInJylVfkpKSRKJKljj05YgRI8j27dsJIYT8/fffREtLi0yaNIkYGRmJVNnT3r17kxUrVhBCyv7eHz9+JFwulwwZMoRXLYtp5OTkSHR0tEB7dHQ0kZOTI4QQ8vHjR97/Kf8NqBNPodSDXr16EWdnZ5Kens5rS0tLI87OzqR3794MKqtgypQpxNTUlNy4cYNXFu/69evEzMyMTJs2jWl5PMShL5csWUK0tLTIgQMHeCXo9u/fT7S0tMiyZcuYlkcIKVsXYPz48aS4uJjXVlxcTMaNG0c6dOjAoLIKWCwWr3xjTRvTGsXFiU9JSWFaRo2kp6eTL1++EELKboQ3b95M+vXrR+bOnUsyMjIYVlfBu3fviJaWFnF2dibS0tJk8ODBxMbGhujo6IhMIMHCwoIsXrxYoH3x4sXE0tKSEFJ2I6+vr/+7pVEYhKbTUCj1QEFBAc+ePUPjxo352l+/fo127dqJRA6lpqYmzp8/j86dO/O1379/H0OHDuVbzZVJxKEv9fX1cejQIYFyfZcvX8aff/6JL1++MKSsAjk5OYSEhAjk54eHh6NFixYisdpx+byX6iAiUL6xaspP5fQKQHTSadhsNlRUVH5YAjEjI+M3KRJvkpKScPDgQbx69QqlpaVwcHDAjBkzRGYC7pUrVzBkyBBYW1ujZcuWYLFYePHiBSIiInDhwgX07dsXBw8exPv377Fjxw6m5VJ+E7Q6DYVSD2RkZJCTkyPQ/u3bN5Ep9ZWXlwcdHR2Bdm1tbZFw6MoRh77MyMgQOnnV2tpaZJwkZWVlxMfHC+hMSEgQqcmP58+fh7q6OtMyauT27du8eQRV669nZmYyqIyfNWvWiMx8h+qIiYmBh4cHYmJisHv3bmhra+PWrVswMDBAo0aNmJbHQ1dXF2vWrGFaRrX0798f0dHROHjwIKKjo0EIQa9evXDp0iXeZ3L69OnMiqT8dmgkniJSEEIQHx8PbW1tyMnJMS2nWsaOHYvg4GC4ubnxyjU+f/4ckydPRvPmzeHp6cmsQJRNhNLQ0MDx48chKysLAMjPz8e4ceOQkZGBu3fvMqywDHHoy9atW6N169YCixXNnDkTL168wLNnzxhSVsGsWbNw8eJFbNu2DW3btgWLxUJgYCAWLlyIQYMGYdeuXUxLFIuJrbUpz8f00wJAPPoyICAAvXr1Qrt27fDw4UNERETA1NQUW7ZsQVBQEM6fP8+YttqWNAZEo6xxVTIzM3Hq1Cm4u7sjNDSU8c8jhSEYTOWhUATgcrlESkpK6AQeUYLD4ZD+/fsTFotFpKWlibS0NGGz2cTFxYVkZmYyLY8QQsibN29IgwYNiIaGBunatSvp1q0b0dDQIA0aNCBv375lWh4PcejLBw8eEAUFBWJjY0NcXV3JxIkTiY2NDVFUVCQPHz5kWh4hhJDCwkIya9YsXv+x2WwiIyND5syZQwoKCpiWRwgRj8mY4gKbzRb5vmzTpg1vYmvluQVBQUGM526zWCzCZrN5k/6r20Rh/kNl/P39yahRo4icnByxtrYmy5cvJ8HBwUzLojAEjcRTRI5GjRrBzc0Nbdq0YVrKD/nw4QMiIiJACIGtrS3Mzc2ZlsRHfn4+Tp48icjISJ7GUaNGieRTDlHvy69fv2L//v18ffnnn39CX1+faWl85OXlISYmBoQQmJubQ15enmlJPExMTPDy5UuRWjG4KuJQfx0Qj0i8oqIi3rx5AxMTE765BXFxcbC2tkZBQQFj2mpb0hhgvqzx58+f4enpCXd3d+Tm5mLo0KE4dOgQXr9+DVtbW0a1UZiFOvEUkeP69evYtGkTDh48CDs7O6blCJCdnQ1FRUWBx+6lpaX49u0blJWVGVImftC+/Hm4XC7evXsHCwsLgZuz/Px8vH//HnZ2diKxiiOXy0V4eDhvEvOhQ4dQVFTEOy4hIYHp06czqlUc6q+X8+nTJ/j5+aG4uBidOnUSqRxzoGwVUR8fH7Rt25bPib948SIWLFiAmJgYpiWKPL1790ZgYCD69u2LUaNGwdnZGRISEpCSkqJOPIWm01BED1VVVV5KgKysLFFTU+PbmMTX15dYWFgIrbOem5tLLC0tyZUrVxhQVsHLly9J586dhZbqy8zMJJ07dyahoaEMKONHHPoyOjqaDB8+vNq+HDFiBF/5QSbw8PAgzZs3JyUlJQLHSkpKSPPmzcmJEycYUCbIqVOnSMeOHXn7ioqKpGHDhsTY2JgYGxsTRUVFcuzYMQYVik/Kz8OHD4mioiIv7UNKSoqcPn2aaVl8LFy4kLRv354kJiYSJSUl8v79exIYGEhMTU3J6tWrGdV2+fLlWm9MIiEhQebOnSuQYiopKUnevXvHkCqKqEAj8RSRw8vLq8bj48aN+01KBHFycsLQoUMxadIkocfd3d3h7e2N27dv/2ZlFYwcORI2Njb43//+J/T4hg0bEB4ejpMnT/5mZfyIQ19OmTIFqqqq2LJli9DjixcvRnZ2Ng4ePPiblVXQoUMHzJgxA8OHDxd63MfHB/v27cPDhw9/szJBunfvjokTJ2LEiBEABMs3Hjp0CN7e3rh//z5jGtlsNpKTk0VyZePKdOrUCcrKyjh8+DDk5OSwdOlSXL9+HQkJCUxL41FcXIzx48fj7NmzIIRAUlISXC4XI0eOhKenJ6MrMtf2aQ/Tk5ifPn0Kd3d3+Pj4wNraGmPGjMGwYcOgr69PI/EUGomnUOqCnp4eef/+fbXH379/T/T09H6jIkFMTU3J69evqz0eFhZGTExMfqMi4YhDX1pZWZGgoKBqj798+ZK30ApTaGlpkdjY2GqPf/z4kWhqav4+QTXQoEEDvqdAVRdSCg8PZ/xpG4vFIqqqqgJPAEXpiSAhhKipqZE3b97w9r99+0bYbLbILKJUWlpK4uLiSG5uLomJiSHnzp0j3t7eIl+0QFTJzc0lbm5upF27dkRKSoqw2Wyya9cukp2dzbQ0CoPQOvEUkURUawtzOByUlJRUe7y4uBgcDuc3KhLky5cvNU7KU1RURGJi4m9UJBxx6MtPnz7VmButqanJeOQzNzcX2dnZ1R7PyckRmXUB0tLSoKioyNv/+PEj3yRXKSkp5ObmMiGND3Gov56Zmcn32VRQUIC8vDwyMzOhpqbGoLIyCCGwsLDgzdcof9pCqR/y8vJwdXWFq6sroqKi4Obmhk2bNmHJkiXo0aMHrly5wrRECgNQJ54iclStLbx+/Xpoa2sjLCwMx44dY7S2sLGxMV6+fCl04R8AePnyJeOVDLS0tBAVFQUTExOhxyMjI6GpqfmbVQkiDn2poqKCmJiYanV8+PCB8cm3FhYWePLkSbW1rAMDA2FhYfGbVQlHR0cHUVFRMDMzAwCBlJWIiAjo6uoyIY2P4cOHi8XE1vDwcCQlJfH2CSGIiIjgWzyNqRrnbDYbFhYWSE9PF5nPX03k5uYiICAA8fHxfJOtgbI1GEQJKysrbNmyBRs3bsTVq1fh7u7OtCQKUzD9KIBCqYoo1xZetmwZMTQ0JElJSQLHEhMTiaGhIVm2bBkDyioYP348ad++vdBjpaWlpH379mT8+PG/WZUg4tCXQ4YMIS4uLtUe79+/Pxk8ePBvVCTI5s2biYaGhtAUqtDQUKKhoUE2b97MgDJBJkyYQNq2bSv0WGlpKXF0dCQTJkz4zar4EYf664TUXOe8vJ3pGufXrl0j7du350v7EUWCg4OJrq4uUVZWJhISEkRLS4uwWCyioKAgEqmHFEp10ImtFJFDlGsL5+TkwNHREfHx8Rg9ejSsrKzAYrEQERGBU6dOwcDAAM+ePWO0xnRMTAyaN28OKysrzJ8/n0/j9u3bER0djZcvXzJeh10c+jIkJASOjo7o27cvFi1aBCsrKwBlTzO2bNmC69ev48mTJ3BwcGBMY3FxMZycnBAYGIju3bvD2tqa1493795Fu3btcOfOHUhJSTGmsZyYmBg4ODjA2toaCxYsgKWlJVgsFiIjI7Ft2zZERUXh1atXjH42xaH+OlD7OudMPs1SU1NDXl4eSkpKIC0tLVACNSMjgyFl/HTu3BmWlpY4ePAgVFVV8fr1a0hJSWH06NGYPXs2Bg4cyLRECkU4TN9FUChVadCgAXn8+DEhhD8S7+vrS0xNTZmURggpKy04ffp0oq6uzot8qaurk+nTpxMOh8O0PEIIIS9evCCNGjXiRePKI3ONGjWqcaLm70Yc+vLq1atES0uL14/lm5aWFuPl58opKioimzdvJk2bNiXy8vJETk6ONG3alGzevJkUFhYyLY+P58+fExsbG4HPpo2NDXn27BnT8n5IaWmpWETqRQFPT88aN1FBRUWFREZG8v4fHh5OCCHk2bNnxMrKiklpFEqN0Eg8ReRYtGgRnj59inPnzsHS0hLBwcFITk7G2LFjMXbsWKxatYppiQDK8k/T0tJACIGWlhZYLBbTkgQIDQ3F+/fvQQiBpaUlmjVrxrQkoYh6X+bn5+PWrVv48OEDry+dnJxEajVUcSMkJATv378HUJbXb29vz7CiMuTl5fHp0ydevr6zszM8PDygp6cHAEhOToa+vj6jZQcBYMuWLZg5cyYvuv3w4UO0bt0aMjIyAMqedC1evBgHDhxgUqZYoKWlhcePH8PS0hJWVlbYs2cPevbsicjISDg4OIjMxHAKpSrUiaeIHKJcW5hCofy7qZpOU7WWfXJyMvT09FBaWsqkTIGVZZWVlREaGsqnUxRuNsohhOD+/fvIz89H27ZtRaKCTjlOTk4YP348Ro4ciWnTpiEkJASzZs3CiRMnwOFw8Pz5c6YlUihCodVpKCKHlJQUTp06hbVr1yIkJASlpaWwt7cXiwoHFAqletauXVsru5UrV/5iJT+HKDwpqhp/E6V4XGZmJmbPno3g4GC0adMG27dvR+/evfHkyRMAZZHvO3fuMFY5pyobNmzgVfRZt24dxo0bh+nTp8Pc3JxWfqGINDQST6FQKJTfQk0pMywWC1FRUSgoKGA0elybSLwoRLhFWeekSZPw8OFDjB07FteuXQObzQYhBLt27QKbzcaiRYugqKiIq1ev/nZtFMq/CRqJp4gE8+bNq7Xtjh07fqESCoXyqwgJCRHaHhoaiiVLluDt27eYPHnyb1bFD4vF4ou0V92n/JibN2/i9OnT6NSpEyZMmAADAwPcu3cPrVu3BgBs3rwZ/fv3Z1hlBV27doWvry9UVVX52rOzs+Hi4oJ79+4xI4xC+QHUiaeIBFV/3F+9egUul8sr6RcdHQ0JCQk0b96cCXliR0lJCdavXw9XV1cYGBgwLYfyG1i7di0WLFggMNk2Pz8fW7duFckUldjYWPzvf/+Dt7c3Bg4cyFvdk0nKJy6XO+7fvn2Dvb092Gw277iocOzYMd4KuCUlJfD09OQt5FZ5waffTXJyMiwtLQEADRo0gKysLN84ZGhoiNTUVKbkCfDgwQOBBZ4AoKCgAI8ePWJAEYVSO2g6DUXk2LFjBx48eAAvLy/e5CcOh4MJEyagQ4cOmD9/PiO69uzZU2tbUVjhT1FREW/fvoWxsTHTUgQQt76sOomwnPT0dGhrazOeWgGIh8Zy0tLSsGbNGhw5cgTt27fHpk2b0LJlS6ZlAQC8vLxqZTdu3LhfrKRmjI2Na/WEIDY29jeo4UeUU30qExYWBgBo1qwZ7t27B3V1dd4xLpeLW7du4fDhw4iLi2NIIYVSM9SJp4gcDRo0gJ+fHxo1asTX/vbtWzg5OeHr16+M6DIxMamVHYvFwsePH3+xmh/j4uICFxcXjB8/nmkpAohbX1a3ANDXr19hZmaG/Px8hpRVwGazkZyczCuNWM69e/cwbNgwkYh85ubmYtu2bdixYwfMzc2xceNGODk5MS2L8g/DZrPx999/854SLF68GAsXLuR7SrBy5UrGnXg2m827ERLmCsnJyWHv3r1wdXX93dIolFpB02koIkd2djaSk5MFnPiUlBRGHxEzEdH6GXr16oWlS5fi7du3aN68ORQUFPiOM5mTKi59Wf7EgMVi8aUuAGWRuocPH8La2popeQDKVsUsz9uunAYClGn89u0bpk2bxqDCCszMzJCTk4OZM2dixIgRYLFYvGhoZUSlaomoU1paCk9PT/j6+iIuLg4sFgumpqYYNGgQxowZw1guv6GhIY4ePcrb19XVxYkTJwRsmCY2NhaEEJiamiIoKIjvBlhaWhra2tq0pDFFpKGReIrIMXbsWAQEBGD79u1o06YNAODZs2dYuHAhOnbsWOvH3f91ynN4hcFisRiPgokD5U8MPn36hIYNG/L9oEtLS8PY2Bhr167lTdhjAi8vLxBC4Orqil27dkFFRUVAo6OjI2P6KlP5M8lisfiin+X7TH82y1M+fgTTT4gIIejbty9u3ryJpk2bwtraGoQQRERE4M2bN+jfvz8uXbrEqEYKhfJroZF4ishx6NAhLFiwAKNHj0ZxcTEAQFJSEhMnTsTWrVsZVlfB58+fceXKFcTHxwtMihKFCjpML0ZTF0S1L8ufGHTp0gW+vr4itUBNOeW52SYmJmjbti2kpKQYVlQ94vAEJi4uDkZGRhg5cqRA+pQo4enpiUePHsHf3x9dunThO3bv3j24uLjg+PHjGDt2LEMKxQcvLy9oamqiT58+AMpWDT9y5AhsbW1x5swZGBkZMayQQhEOjcRTRAoul4vAwEA0btwYMjIyiImJASEE5ubmAukgTOLv74/+/fvDxMQEUVFRsLOzQ1xcHAghcHBwoCXJ6gDty/qTnZ0NZWVl3v9rotyOUjM+Pj7w8PDAgwcP0KtXL7i6uqJ37941PtliAicnJ3Tt2hVLliwRenzDhg0ICAjA7du3f7My8cPKygoHDx5E165d8fTpU3Tr1g27du3CtWvXICkpCV9fX6YlUihCoU48ReSQlZVFRERErSc/MkGrVq3g7OyMtWvX8iovaGtrY9SoUXB2dsb06dOZlggACAgIwLZt2xAREQEWiwUbGxssXLgQHTp0YFoaD3HoSy6XC09PT/j7+yMlJUXgKQdTNxqVK9JUnqRXGVFIUSlny5YtmDlzJuTk5AAADx8+ROvWrSEjIwOgbMLj4sWLceDAASZlAgC+fPkCT09PeHp6Ijc3F2PHjsXEiRMZL4FZjq6uLm7duoVmzZoJPR4SEoJevXohKSnp9woTQ+Tl5REZGQlDQ0MsXrwYiYmJOH78ON69e4fOnTuLxKRwCkUY1ImniBwtW7bEpk2b0K1bN6alVIuSkhJCQ0NhZmYGNTU1BAYGolGjRnj9+jX++OMPkShJdvLkSUyYMAEDBw5Eu3btQAjBkydPcPHiRXh6emLkyJFMSwQgHn35119/wdPTE3369IGenp6As7xz505GdAUEBKBdu3aQlJREQEBAjbadOnX6Taqqp2oZTGVlZYSGhopc6cGqBAQEYPXq1Xj48CHS0tJEIq1KWloanz59gp6entDjX79+hYmJCQoLC3+zMvFDW1sbt2/fhr29Pezt7TF37lyMHTsWMTExaNq0Kb59+8a0RApFKDQnniJyrF+/HgsWLMC6deuEVlURhbQABQUF3o+jvr4+YmJieNV00tLSmJTGY/369diyZQvmzp3La5s9ezZ27NiBdevWiYwTLw59efbsWfj4+KB3795MS+GjsmMuCk76j6gaMxL1GFJBQQHOnz8Pd3d3PH/+HEOGDBFYTIspuFwuJCWr/wmXkJBASUnJb1QkvvTo0QOTJk2Cvb09oqOjebnx7969E8l1NiiUcqgTTxE5nJ2dAZSVQKwc8RSltIA2bdrg8ePHsLW1RZ8+fTB//ny8efMGvr6+vIo6TPPx40f069dPoL1///5YtmwZA4qEIw59KS0tDXNzc6Zl/JCCggKEhYUJTfkRpWXuRZ3nz5/Dzc0N3t7eMDMzg6urKy5cuCASEfhyCCEYP348LxWpKjQCX3v279+PFStWICEhARcuXICGhgaAspXDR4wYwbA6CqV6qBNPETnu37/PtIQfsmPHDt4j1tWrV+Pbt2/w9vaGubk5Y6kVVTEwMIC/v7+A8+nv78+3BDrTiENfzp8/H7t378a+ffsYq739I27duoWxY8cKfXohKje/4kCjRo2QkpKCkSNH4tGjRyJbs742K8YyVZmmtrXVReUzqaqqin379gm0r1mzhgE1FErtoTnxFMq/lIMHD2LOnDlwdXVF27ZtwWKxEBgYCE9PT+zevRtTp05lWqLYMGDAANy/fx/q6upo1KiRQBlHUaheYW5ujp49e2LlypXQ0dFhWo5QxGElTzabDQUFBUhKStZ4w5aRkfEbVYkXbDYbRkZGGDduHOzt7au1++OPP36jqprJzMxEUFCQwFMsFouFMWPGMKiMQqke6sRTRI4XL17gzJkziI6O5q1COWLECLRo0YJpaTxMTU3x4sUL3mPXcjIzM+Hg4MD4QjDlXLx4Edu3b0dERAQA8KrTiNKPpzgwYcKEGo97eHj8JiXVo6ysjJCQEJiZmTEtpVqMjY1/+CSDxWIx+v2p7WJytYmE/1d58eIF3N3dcfbsWZiYmMDV1RWjRo0SqXSkyly9ehWjRo1Cbm4ulJSU+D6jLBaL3rBRRBbqxFNEikWLFmHbtm1QVFSEqakpCCH4+PEj8vLysGDBAmzevJlpiQDKIk1JSUkCi8EkJyfD0NCQ5qP+AHV1dURHR0NTUxNqamo04vkP4Orqinbt2mHixIlMS6k38fHxWL16Ndzd3ZmWUiMlJSU1TiqllFE+MdjDwwPPnj1Dv379MHHiRPTo0YNpaXxYWlqid+/e2LBhg8hMXKZQagN14ikig5eXF6ZNm4atW7di6tSpvJSF4uJiHDx4EIsXL8bhw4cZXYHwypUrAAAXFxd4eXnxLXHP5XLh7++PO3fuICoqiimJArx8+ZKvTnzz5s2ZlgQvLy8MHz4cMjIyP4x8ikrEs6SkBA8ePEBMTAxGjhwJJSUlfP36FcrKyrz0ECbJy8vDkCFDoKWlhcaNGwuk/MyaNYshZbXn9evXcHBwEJlc6aqEh4fDzc0NJ0+eRHJyMtNyxIrY2FhMnDgRAQEBSE1Nhbq6OtOSeCgoKODNmze8UqcUithAKBQRoWXLlmTHjh3VHt++fTtp2bLlb1QkCIvFIiwWi7DZbN7/yzdpaWliaWlJrl69yqjGchISEkj79u0Ji8UiampqRE1NjbBYLNKuXTsSHx/PtDxCCCHFxcXE09OTJCYmMi2lRuLi4oi1tTWRl5cnEhISJCYmhhBCyOzZs8nUqVMZVlfG0aNHiYSEBFFUVCRGRkbE2NiYt5mYmDAtr1aEhoYSNpvNtAw+cnJyyNGjR0mbNm2IhIQEadeuXY3jFIWfhIQEsm7dOmJmZkb09fXJ4sWLSXFxMdOy+BgwYADx9vZmWgaFUmdoJJ4iMvwoGvLx40c0btwYubm5v1mZICYmJnjx4gVvQp4o4uTkhOzsbHh5ecHKygoAEBUVBVdXVygoKMDPz49hhWXIy8sjIiICRkZGTEupFhcXFygpKcHNzQ0aGhp4/fo1TE1NERAQgEmTJuH9+/dMS4Suri5mzZqFJUuWgM1mMy2nXohSJD4wMBDHjh3DhQsXYGJigvDwcN7iWpSaKSoqwsWLF+Hm5oZHjx6hV69ecHV1Re/evUXys+nm5oa1a9diwoQJQp9i0fKsFFGFJvVRRAYJCQkUFRVVe7y4uLjWpct+NbGxsUxL+CGPHj3CkydPeA48AFhZWWHv3r0i5Yi0bt0aISEhIu3EBwYG4vHjx5CWluZrNzIywpcvXxhSxU9RURGGDRsmkk6SOLFlyxa4u7vj27dvGDFiBAIDA9G0aVNISUmJ7MRMUUNPTw9KSkoYN24cDhw4wJs7VHXlU1FYuA8AJk+eDABYu3atwDFanpUiylAnniIyNG/eHKdOncK6deuEHj9x4gQcHBx+s6rqCQgIwLZt2/jyzRcuXIgOHTowLQ0AYGhoiOLiYoH2kpISNGjQgAFFwvnzzz8xf/58fP78WegKvaJQp7u0tFToD/nnz5+hpKTEgCJBxo0bB29vb5FayKsqAwcOrPF4Zmbm7xFSA8uWLcPixYuxdu1akQkaiBscDgccDgfr1q3D33//LXCciNDCfQAEFkajUMQF6sRTRIb58+fDxcUFhYWFmD9/Pq/WdVJSErZv345du3bh4sWLDKss4+TJk5gwYQIGDhyIWbNmgRCCJ0+eoFu3bvD09MTIkSOZlogtW7Zg5syZ2L9/P5o3bw4Wi4WXL19i9uzZ2LZtG9PyeAwbNgwA/8RLFoslUj/0PXr0wK5du3DkyBEAZfq+ffuGVatWoXfv3gyrK4PL5WLLli24ffs2mjRpIpASsGPHDoaUVVB5Inh1x5mcuA6URWM9PT1x4sQJjBgxAmPGjIGdnR2jmsQNcViwj0L5N0Bz4ikixd69e7FgwQKUlJTwfvCzsrIgISGBLVu2YM6cOcwK/I6NjQ2mTJmCuXPn8rXv2LEDR48e5dVl/91ULdeYm5vLVw6v/P8KCgoiU7rx06dPNR4XhTSbr1+/okuXLpCQkMD79+/RokULvH//Hpqamnj48KFAqVEm6NKlS7XHWCwW7t279xvViD8BAQFwd3fHhQsXYGZmhnfv3tGc+H8Ze/bsqZWdOFR2ovw3oU48ReT4/Pkzzp07x5ssaGlpiUGDBsHAwIBhZRXIyMjg3bt3MDc352v/8OED7OzsUFBQwIiu2i5UA4hO6UZxIT8/H2fOnEFwcDBKS0vh4OCAUaNGQU5Ojmlp4HK5CAwMROPGjUWqdN+/gZycHJw6dQoeHh549eoVWrVqhcGDB2PevHlMSxNZ2rdvj65du6JLly5wdHSErKws05KEYmJi8kMbphcfo1BqgjrxFEo9MDc3x8KFCzF16lS+9sOHD2Pbtm0iUa1EnDhx4gQOHTqE2NhYPH36FEZGRti1axdMTEzo6rK1RFZWFhEREbVyTCj1482bN3Bzc8Pp06eRkpLCtByRpbwe/MePHyEjI4PWrVvznPo2bdoIpHpRKJT6QZ14CqUOuLq6Yvfu3Th58iTmzJkDV1dXtG3bFiwWC4GBgfD09MTu3bsFnHumyc/PF5jkKiqVIQ4ePIiVK1dizpw5WL9+Pd6+fQtTU1N4enrCy8tLZPJrv3z5gsePHyMlJUVgIpwoPG5v2bIlNm3ahG7dujEt5V9PcXExdURrwefPn3Hv3j0EBATgwYMHiI2NhZycHNq2bYuuXbti6dKlTEukUMQa6sRTKHVAQkICiYmJ0NbWxsWLF7F9+3Ze/nt5dRpRiRzn5uZi8eLF8PHxQXp6usBxUZgwCgC2trbYsGEDrxZ7eQ32t2/fonPnzkhLS2NaIjw8PDBt2jRIS0tDQ0ODb96BqDxu9/Pzw+LFi7Fu3TqhVX5E5aZN1KlNnjSLxcLMmTN/g5p/FwkJCTh8+DD27t2Lb9++icwYRKGIK9SJp1DqAJvNRlJSkkhMZPwRM2bMwP3797F27VqMHTsW+/fvx5cvX3D48GFs2rQJo0aNYloiAEBOTg6RkZEwMjLic+Lfv3+PJk2aID8/n2mJMDAwwLRp07B06VKRrcNeWVflmwxRqvIjDtA86X+WmJgYPHjwgLdlZmbC0dERnTp1wvLly5mWR6GINbTEJEWsKHdImITp168tV69exfHjx9G5c2e4urqiQ4cOMDc3h5GREU6dOiUyTryJiQlCQ0MFqtDcvHkTtra2DKniJy8vD8OHDxdZBx6gZf3+KcRhITdRx8PDA/fv38eDBw+QlZWFdu3aoVOnTpgxYwZatGjBq5ZFoVB+DvpNoogcGzduFJoryeVyMXr0aJw5c4YBVRVYWlr+0JEXhfKNGRkZvKiisrIyT1P79u0xffp0JqXxsXDhQsyYMQMFBQUghCAoKAhnzpzBxo0bcezYMablASibqHfu3DksWbKEaSnV0qlTJ6Yl/GsoLS2Fp6cnfH19ERcXBxaLBVNTUwwaNAhjxowRmxt5ppg4cSIMDQ2xfPlyuLq60vkDFMovgjrxFJFj165d0NDQwJQpU3htXC4Xw4cPx9u3bxlUVsaaNWt+uGiNKGBqaoq4uDgYGRnB1tYWPj4+aNWqFa5evQpVVVWm5fGYMGECSkpKsGjRIuTl5WHkyJFo0KABdu/ejeHDhzMtD0DZjWXfvn1x69YtNG7cWCQXUgKAR48e4fDhw/j48SPOnTuHBg0a4MSJEzAxMUH79u2ZlicWEELQr18/3Lx5E02bNkXjxo1BCEFERATGjx8PX19fXLp0iWmZIs3+/fsREBCA1atXY8mSJWjfvj06d+6MTp068RaeEweCg4OxcuVKXLt2jWkpFIpwCIUiYrx8+ZKoqqoSb29vQgghRUVFZMCAAcTGxoYkJiYyqo3FYpHk5GRGNdSWHTt2kN27dxNCCLl37x6Rk5Mj0tLShM1mk127djGsTjipqaki2b9r164lLBaLWFtbk06dOpHOnTvzti5dujAtjxBCyPnz54mcnByZNGkSkZGRITExMYQQQvbv30969erFsDrxwd3dnSgpKZF79+4JHPP39ydKSkrEy8uLAWXiybt378iBAwfI0KFDiY6ODlFRUSG9e/cmW7duZVoaIYQQPz8/smDBArJ06VLedyYiIoL88ccfhM1mk549ezKskEKpHurEU0SS+/fvE2VlZXLp0iXSr18/YmtrS5KSkpiWRdhstkg6mbXh06dP5MKFCyQ0NJRpKXx06dKFcDgcgfasrCyRcZBVVVWJh4cH0zJqpFmzZjznUlFRkeeQhISEEB0dHSaliRU9evQgGzdurPb4+vXriZOT029U9O/hy5cvZPny5URZWZmw2Wym5RBPT0/CYrGIhoYGYbFYREtLi5w4cYIoKSmR8ePHkzdv3jAtkUKpEdGdpUX5T9O5c2ecOHECgwcPRlxcHAICAqCjo8O0LBAxLuZkaGiIgQMHQl1dHa6urkzL4fHgwQMUFRUJtBcUFODRo0cMKBJERkYG7dq1Y1pGjURFRaFjx44C7crKysjMzPz9gsSUsLAwODs7V3u8V69eeP369W9UJL4kJyfD29sb06dPh42NDQwMDLB9+3bY29tj5cqVTMvDzp07sWHDBqSlpeHs2bNIS0vDzp07ERISAg8PD9jZ2TEtkUKpEZoTTxEJBg4cKLRdS0sLqqqqfPnxvr6+v0uWAFUX+RFHMjIy4OXlBXd3d0Z1hIWF8f4fHh6OpKQk3j6Xy8WtW7fQoEEDJqQJMHv2bOzdu7dWNcSZQk9PDx8+fICxsTFfe2BgIExNTZkRJYZkZGTUGDDQ0dEBh8P5jYrEj/LytlFRUZCUlETLli0xePBgdOnSBW3btoWsrCzTEgGUlb8cNmwYAGDw4MGQkJDAjh07YGZmxrAyCqV2UCeeIhJUN1G0Z8+ev1kJ5XfRrFkzsFgssFgsdO3aVeC4nJwc9u7dy4AyQYKCgnDv3j1cu3YNjRo1EpjYyuSNZTlTp07F7Nmz4e7uDhaLha9fv+Lp06dYsGCBSEQ9xQUul1tjCUQJCQmUlJT8RkXiR3BwMFxcXNClSxe0a9cO8vLyTEsSSm5uLm9RNDabDVlZWRgYGDCsikKpPdSJp4gEHh4eAMrSVeLj46GlpSWyAz/lnyE2NhaEEJiamiIoKAhaWlq8Y9LS0tDW1oaEhASDCitQVVWt9mmRqLBo0SJkZWWhS5cuKCgoQMeOHSEjI4MFCxbgr7/+Ylqe2EAIwfjx4yEjIyP0eGFh4W9WJH48ffqUaQm15vbt27wgUmlpKfz9/QWqoPXv358JaRTKD6ErtlJEitLSUsjKyuLdu3ewsLBgWs6/ktevX8PBwYGu4PkvJS8vD+Hh4SgtLYWtrS0UFRWZliRWTJgwoVZ25YEHivhSm8Xb6GrHFFGGRuIpIgWbzYaFhQXS09OpE19PfhQxFtVJjuHh4YiPjxeY5CpKUbCUlBRERUWBxWLB0tIS2traTEtCXl4eFi5ciEuXLqG4uBjdu3fHnj17oKmpybQ0sYQ65/8d/g1znCj/bWgkniJyXL9+HZs2bcLBgwdpdYB6IG6RxI8fP2LAgAF48+YNWCwWrwJQ+YIwohAFy87OxowZM3D27FmeHgkJCQwbNgz79+9ndPGvhQsX4sCBAxg1ahRkZWVx5swZdO7cGefOnWNME4Xyb4DL5eLq1atwcXFhWgqFIhTqxFNEDjU1NeTl5aGkpATS0tKQk5PjO56RkcGQMsqvoF+/fpCQkMDRo0d5+fHp6emYP38+tm3bhg4dOjAtEUOHDkVoaCj27t0LR0dHsFgsPHnyBLNnz0aTJk3g4+PDmDYzMzOsX7+et7ptUFAQ2rVrh4KCApGZU0D577Bnzx5MmTIFsrKyiI+Ph4GBgdis0FpOZGQk3N3d4eXlBQ6HI7QELoUiClAnniJyeHl51Xh83Lhxv0kJ5XegqamJe/fuoUmTJlBRUUFQUBCsrKxw7949zJ8/HyEhIUxLhIKCAm7fvo327dvztT969AjOzs7Izc1lSFnZJODY2Fi+cpxycnKIjo6mlTYovx1JSUl8/fqVNzE9MTFRJNLOfkRubi7+3969xURxvmEAf3bDwYRQYJE2UKGggGXFFppUQ2xYlqAhlACVpAE5tCixFEuTVttyQU8XkPQQY5A2FegKRlIkgRopF1QCS6CctCtLKEKktRC1QMqZlaWwzP/Cdv8ioqjIzK7PLyFmZufiuXF5+eb93u/MmTP4/vvv0dbWBrVajYSEBMTFxbE1jSSLPfEkOSzSnywmk8m8+XLjxo24ceMGtm7diueeew59fX0ip7vF1dX1ri0zTk5OcHFxESHR/5lMJtjZ2S25Z2NjwzGIJAoPDw9UVlYiKioKgiDg2rVrMBqNd33Wy8trndMt19raiuLiYlRUVMDPzw9JSUlob29Hfn4+lEql2PGI7olFPEmSyWTC2bNncfnyZchkMiiVSsTExLA9wAoFBgaiq6sLmzdvxs6dO/Hll1/Czs4OhYWFkjmkKCcnB++//z5OnToFd3d3AMDQ0BA++OADfPzxx6Jmu9tIRKPRiIyMDPMMbEAas+zJ+uXk5CArKwvvvPMOZDIZXn755WXPCIIgiakvSqUSN2/exL59+9De3m4u2rOzs0XNRbRabKchyenv70dUVBSuX7+OrVu3QhAEc2tATU0NT9OzMrW1tTAYDNi7dy/++OMPREdHo7e3F66urjhz5sxdD4Jab8HBwejv78fc3Jx59XBwcBD29vbLpijpdLp1zWZpG5nJ+k1PT2NgYAAvvPAC6urq4OrqetfnXnzxxXVOtpSdnR0SEhKQkpKCiIgIc+++ra0t9Ho9V+JJ8ljEk+T89xq2rKwMCoUCADA6Oork5GTI5XLU1NSInJAet7GxMbi4uEhmQ9znn3++6mc//fTTx5iEyHKUlpYiISFhxYOzxHb9+nWUlJTg5MmTmJ2dRWJiIpKSkrBz5050dnayiCfJYxFPkuPg4IC2tjZs3759yX29Xo9du3ZhZmZGpGRERPSgfv31V3NrZEBAAF566SWxIy1TX18PjUaDqqoqGI1GHDlyBOnp6fD39xc7GtGK2BNPkmNvb4/p6ell92dmZpZt4CPLtX///lU9p9FoHnMSInocRkZGkJCQAK1WC2dnZwiCgMnJSajVapSXl8PNzU3siGbh4eEIDw/H5OQkysrKoNFo8PXXX5v37BBJ0f3PHCZaZ9HR0Th48CDa29shCAIEQUBbWxsyMjIkdXonPZqSkhI0NDRgYmIC4+PjK/6IRaFQ4O+//wZw6+wChUKx4g8RLZeVlYWpqSn89ttvGBsbw/j4OLq7uzE1NYV3331X7Hh35eTkhMzMTFy8eBE6nQ5hYWFiRyJaEdtpSHImJibwxhtvoLq6Gra2tgCAhYUFxMTEoKSkRNTTMWntZGZmory8HF5eXti/fz+Sk5MlVRDf3s/LswuIHpyTkxPq6uqWTajp6OjAnj17MDExIU6wf42MjNxzhv3CwgJ0Oh127NixjqmIVo9FPElGf38/fH19l1z39PQAuDUK7PbPyDrMzc2hqqoKGo0GLS0tePXVV3HgwAHs2bNHMptaiejhODo6oqmpCUFBQUvuX7p0CSqVClNTU+IE+9edh1EFBASgtrbWPIFqeHgYHh4eoo/CJFoJi3iSDLlcjmeffRZqtRrh4eEICwuDt7e32LFonQwMDKCkpASnTp3C/Pw8enp6zIdAiW1wcPCen0vh0BoiqYmNjcXExAR++OEHeHh4ALg1ESYpKQkuLi748ccfRc0nl8sxNDRkLuIdHR2h1+vN51MMDw/D3d0di4uLYsYkWhE3tpJkNDY2orGxEVqtFocOHYLRaISXlxfCw8OhVquhVquXHC1P1kUmk0Emk0EQBMn90vT29r7nmwGu1BEtV1BQgNjYWHh7e8PT0xMymQyDg4PYvn07Tp8+LXa8VeEbQZIyrsSTJM3Pz6O1tRVarRZarRZtbW2Ym5uDr68v+vr6xI5Ha+T2dprm5mZER0cjLS0NkZGRkMuls+9er9cvuZ6fn8elS5dw9OhR5ObmYu/evSIlI5K+8+fPo7e3F4IgQKlUIiIiQuxIAFa3Es92GpIyFvEkabOzs2hubkZtbS2KioowMzPDL1QrcfvG1rS0NCQnJ694sqNU1dTU4KuvvoJWqxU7ChE9ILlcjitXrsDNzQ2CIMDT0xPNzc3mNs7h4WE8//zz/J1DksUiniTFaDSipaUFDQ0N0Gq1uHDhAnx8fKBSqRAaGgqVSsWWGishl8vh5eWF4ODge76yrqqqWsdUD+bKlSsICgqCwWAQOwoRPSC5XL7ku0cQhLtes4gnqWJPPEmGSqXChQsXsGXLFoSGhiIrKwsqlQrPPPOM2NHoMUhNTbWYftM7p2gIgoC//voLn332Gfz8/ERKRUSPorS0lJvSyaJxJZ4kw9bWFu7u7oiLi0NYWBhCQ0OxceNGsWMRLVuxA2B+/V5eXo6QkBCRkhHRw3J2dsbx48eRkpIidhSih8IiniTDYDCgqakJWq0WDQ0N6OzshL+/P1QqFcLCwqBSqSR1TDc9ORobG5dcy+VyuLm5wdfXFzY2fKFJZIm+/fZbZGdnY/fu3SgsLLS4PTlELOJJsqanp9Hc3Gzuj9fr9fDz80N3d7fY0YiI6CHpdDp88skn+Omnn8SOgqtXr+LAgQPo6elBYWEhYmJixI5EtGpcQiLJcnBwgEKhgEKhgIuLC2xsbHD58mWxY9ET6Ny5c6t+lkUA0a2xkj///DNsbW2Rnp6OzZs3o7e3F9nZ2aiursbu3bvFjggA8PHxQX19PQoKChAfH4+AgIBlb9d0Op1I6YjujUU8Scbi4iIuXrxobqf55ZdfYDAYzKe4fvPNN1Cr1WLHpCdQXFyc+SCq2915j5MsiG5tGE1LS4NCocDY2BiKi4tx9OhRZGZmIj4+Hnq9HoGBgWLHNBsYGEBlZSUUCgViY2PZIkcWg+00JBlPPfUUDAYD3N3dERYWhrCwMKjVamzZskXsaPSEq6urw0cffYS8vDyEhIRAJpOhpaUFOTk5yMvLk8yqIpEUBAUFISEhAdnZ2aioqEBCQgKCg4NRUVEhue/zoqIiHD58GBEREThx4gT3XZFFYRFPknHixAmo1Wr4+/uLHYVoicDAQHz33Xd45ZVXltxvamrCwYMH2eZFdBtHR0d0dXXBx8cHi4uLsLe3R11dHVQqldjRloiMjERHRweOHTuG1NRUseMQPTC+MyLJeOutt8SOQHRXv//+O5ycnJbdd3Jywp9//rn+gYgkzGAwwMHBAcCtSU4bNmyAp6enyKmWM5lM6OrqwqZNm8SOQvRQuBJPRHQfoaGhsLW1xenTp+Hu7g4AGBoaQkpKCv75559lIyiJnmRyuRylpaXmP3wTExNx7NixZQf3cRM40aNhEU9EdB/9/f147bXX0NfXZz7hcXBwEP7+/jh79ix8fX1FTkgkHXK5/L7PcBM40aNjEU9EtAqCIOD8+fPo7e2FIAhQKpWIiIhYdpIrERHRemART0REROvGZDKhuroacXFxYkchsmj3f+dFRPSEioqKwuTkpPk6NzcXExMT5uvR0VEolUoRkhFZnt7eXnz44Yfw8PDA66+/LnYcIovHIp6IaAW1tbWYm5szX3/xxRcYGxszXy8sLKCvr0+MaEQWwWAwQKPRYNeuXdi2bRt0Oh1yc3Nx48YNsaMRWTyOmCQiWsGd3YbsPiRandbWVhQXF6OiogJ+fn5ISkpCe3s78vPz+faKaI2wiCciIqI1o1QqcfPmTezbtw/t7e3moj07O1vkZETWhe00REQrkMlky6bPcBoN0b319/cjNDQUarUaAQEBYschslpciSciWoEgCHjzzTdhb28PADAajcjIyDCfRnl7vzwR3XL16lWUlJTg7bffxuzsLBITE5GUlMQ/gInWGEdMEhGtIC0tbVXPnTx58jEnIbJM9fX10Gg0qKqqgtFoxJEjR5Ceng5/f3+xoxFZPBbxRERE9FhNTk6irKwMGo0GOp0OgYGB6OrqEjsWkUVjEU9ERETrprOzExqNBvn5+WJHIbJoLOKJiIhozYyMjODpp59e8fOFhQXodDrs2LFjHVMRWR9OpyEiIqI14+7ujpGREfN1QEAABgcHzdejo6MICQkRIxqRVWERT0RERGvmzhf8165dw8LCwj2fIaIHxyKeiIiI1hXHTRI9OhbxREREREQWhoc9ERER0Zqanp7Ghg0bIAgCZDIZZmZmMDU1BQDmf4no0XA6DREREa0ZuVy+pF3mv0L+zmuTySRGPCKrwZV4IiIiWjOlpaXw8vISOwaR1eNKPBEREa0ZZ2dnHD9+HCkpKWJHIbJq3NhKREREayYvLw+HDh1CfHw8RkdHxY5DZLVYxBMREdGayczMhF6vx/j4OLZt24Zz586JHYnIKrGdhoiIiB6LgoICvPfeewgICICNzdJteDqdTqRURNaBG1uJiIhozQ0MDKCyshIKhQKxsbHLingiejT8H0VERERrqqioCIcPH0ZERAS6u7vh5uYmdiQiq8MinoiIiNZMZGQkOjo6UFBQgNTUVLHjEFktFvFERES0ZkwmE7q6urBp0yaxoxBZNW5sJSIiIiKyMBwxSURERERkYVjEExERERFZGBbxREREREQWhkU8EREREZGFYRFPRERERGRhWMQTEREREVkYFvFERERERBaGRTwRERERkYVhEU9EREREZGH+Bx2AstEqMfd+AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# created a heatmap to identify potential correlation between variables \n",
    "\n",
    "correlation_matrix = main_data.corr()\n",
    "\n",
    "plt.figure(figsize=(8, 4))\n",
    "\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt='.2f', linewidths=.5)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "27d71a2b",
   "metadata": {},
   "source": [
    "# Analysis:"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "aeb94ec7",
   "metadata": {},
   "source": [
    "## RQ #2: *Which pipe materials demonstrate the highest cost efficiency and sustainability in Ann Arbor's water main infrastructure, considering factors such as maintenance costs and durability?*"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "213156c9",
   "metadata": {},
   "source": [
    "## Aggregating work order expenses by material: "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "60b535e3",
   "metadata": {},
   "source": [
    "#### I want to see how labor, material, and equipment costs are related to watermain materials. This will help me gain a general understanding of what expenses are main contributors to the total cost of watermain repairs of different materials. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "ec39a74a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/0k/xs0rlfyd4_x_ft_xsh29q6jc0000gn/T/ipykernel_44661/1488157770.py:2: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  main_break_expenses_sum = main_data.groupby('MATERIAL')['Labor Cost', 'Material Cost', 'Equipment Cost', 'Total Cost'].sum().fillna(0.0)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Labor Cost</th>\n",
       "      <th>Material Cost</th>\n",
       "      <th>Equipment Cost</th>\n",
       "      <th>Total Cost</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MATERIAL</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AC</th>\n",
       "      <td>690.20625</td>\n",
       "      <td>112.220000</td>\n",
       "      <td>278.9325</td>\n",
       "      <td>1.081359e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CI</th>\n",
       "      <td>446472.30750</td>\n",
       "      <td>198065.462083</td>\n",
       "      <td>526385.1250</td>\n",
       "      <td>1.170923e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DI</th>\n",
       "      <td>233312.50250</td>\n",
       "      <td>109691.984042</td>\n",
       "      <td>253302.4900</td>\n",
       "      <td>5.963070e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HDPE</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PVC</th>\n",
       "      <td>633.28500</td>\n",
       "      <td>249.015844</td>\n",
       "      <td>1444.3500</td>\n",
       "      <td>2.326651e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STL</th>\n",
       "      <td>3838.24000</td>\n",
       "      <td>650.730473</td>\n",
       "      <td>1935.2400</td>\n",
       "      <td>6.424210e+03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Labor Cost  Material Cost  Equipment Cost    Total Cost\n",
       "MATERIAL                                                           \n",
       "AC           690.20625     112.220000        278.9325  1.081359e+03\n",
       "CI        446472.30750  198065.462083     526385.1250  1.170923e+06\n",
       "DI        233312.50250  109691.984042     253302.4900  5.963070e+05\n",
       "HDPE           0.00000       0.000000          0.0000  0.000000e+00\n",
       "PVC          633.28500     249.015844       1444.3500  2.326651e+03\n",
       "STL         3838.24000     650.730473       1935.2400  6.424210e+03"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# used groupby to show the all time sum of total Labor, Material, Equipment, and Total Cost of all work orders per watermain MATERIAL since 1950\n",
    "main_break_expenses_sum = main_data.groupby('MATERIAL')['Labor Cost', 'Material Cost', 'Equipment Cost', 'Total Cost'].sum().fillna(0.0)\n",
    "\n",
    "# the table shows the total costs since 1950\n",
    "main_break_expenses_sum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "e7793ffd",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/0k/xs0rlfyd4_x_ft_xsh29q6jc0000gn/T/ipykernel_44661/4238598789.py:2: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  main_break_expenses_mean = main_data.groupby('MATERIAL')['Labor Cost', 'Material Cost', 'Equipment Cost', 'Total Cost'].mean().fillna(0.0)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Labor Cost</th>\n",
       "      <th>Material Cost</th>\n",
       "      <th>Equipment Cost</th>\n",
       "      <th>Total Cost</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MATERIAL</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AC</th>\n",
       "      <td>690.206250</td>\n",
       "      <td>112.220000</td>\n",
       "      <td>278.932500</td>\n",
       "      <td>1081.358750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CI</th>\n",
       "      <td>1094.294871</td>\n",
       "      <td>485.454564</td>\n",
       "      <td>1290.159620</td>\n",
       "      <td>2869.908957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DI</th>\n",
       "      <td>1281.936827</td>\n",
       "      <td>602.703209</td>\n",
       "      <td>1391.771923</td>\n",
       "      <td>3276.411849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HDPE</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PVC</th>\n",
       "      <td>633.285000</td>\n",
       "      <td>249.015844</td>\n",
       "      <td>1444.350000</td>\n",
       "      <td>2326.650844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STL</th>\n",
       "      <td>1919.120000</td>\n",
       "      <td>325.365237</td>\n",
       "      <td>967.620000</td>\n",
       "      <td>3212.105237</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Labor Cost  Material Cost  Equipment Cost   Total Cost\n",
       "MATERIAL                                                         \n",
       "AC         690.206250     112.220000      278.932500  1081.358750\n",
       "CI        1094.294871     485.454564     1290.159620  2869.908957\n",
       "DI        1281.936827     602.703209     1391.771923  3276.411849\n",
       "HDPE         0.000000       0.000000        0.000000     0.000000\n",
       "PVC        633.285000     249.015844     1444.350000  2326.650844\n",
       "STL       1919.120000     325.365237      967.620000  3212.105237"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# used groupby to show the average Labor, Material, Equipment, and Total Cost of every work order per watermain MATERIAL\n",
    "main_break_expenses_mean = main_data.groupby('MATERIAL')['Labor Cost', 'Material Cost', 'Equipment Cost', 'Total Cost'].mean().fillna(0.0)\n",
    "\n",
    "# the table shows the mean costs since 1950\n",
    "main_break_expenses_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "fefd3a05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Labor Cost</th>\n",
       "      <th>Material Cost</th>\n",
       "      <th>Equipment Cost</th>\n",
       "      <th>Total Cost</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MATERIAL</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AC</th>\n",
       "      <td>63.827684</td>\n",
       "      <td>10.377685</td>\n",
       "      <td>25.794631</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CI</th>\n",
       "      <td>38.129951</td>\n",
       "      <td>16.915330</td>\n",
       "      <td>44.954723</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DI</th>\n",
       "      <td>39.126242</td>\n",
       "      <td>18.395221</td>\n",
       "      <td>42.478540</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HDPE</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PVC</th>\n",
       "      <td>27.218738</td>\n",
       "      <td>10.702759</td>\n",
       "      <td>62.078502</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>STL</th>\n",
       "      <td>59.746486</td>\n",
       "      <td>10.129345</td>\n",
       "      <td>30.124169</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Labor Cost  Material Cost  Equipment Cost  Total Cost\n",
       "MATERIAL                                                       \n",
       "AC         63.827684      10.377685       25.794631       100.0\n",
       "CI         38.129951      16.915330       44.954723       100.0\n",
       "DI         39.126242      18.395221       42.478540       100.0\n",
       "HDPE        0.000000       0.000000        0.000000         0.0\n",
       "PVC        27.218738      10.702759       62.078502       100.0\n",
       "STL        59.746486      10.129345       30.124169       100.0"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Used groupby to show the average Labor, Material, Equipment, and Total Cost as percentages of the total cost to show impact on overal cost\n",
    "main_break_expenses_mean_per = main_break_expenses_mean.div(main_break_expenses_mean['Total Cost'], axis=0) * 100\n",
    "\n",
    "# The table shows the mean costs expressed as percentages since 1950\n",
    "main_break_expenses_mean_per.fillna(0.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "a21bde87",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# created a grouped bar chart to display my previous findings\n",
    "\n",
    "main_break_expenses_mean_reset = main_break_expenses_mean.reset_index()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8, 4))\n",
    "\n",
    "bar_width = 0.2\n",
    "\n",
    "ax.bar(main_break_expenses_mean_reset.index - 1.5 * bar_width, main_break_expenses_mean_reset['Total Cost'], width=bar_width, label='Total', color='gray', alpha=0.7)\n",
    "ax.bar(main_break_expenses_mean_reset.index - 0.5 * bar_width, main_break_expenses_mean_reset['Labor Cost'], width=bar_width, label='Labor', color='blue', alpha=0.7)\n",
    "ax.bar(main_break_expenses_mean_reset.index + 0.5 * bar_width, main_break_expenses_mean_reset['Material Cost'], width=bar_width, label='Material', color='green', alpha=0.7)\n",
    "ax.bar(main_break_expenses_mean_reset.index + 1.5 * bar_width, main_break_expenses_mean_reset['Equipment Cost'], width=bar_width, label='Equipment', color='orange', alpha=0.7)\n",
    "\n",
    "ax.set_title('Average Costs per Work Order by Water Main Material')\n",
    "ax.set_xlabel('Material')\n",
    "ax.set_ylabel('Average Cost ($)')\n",
    "ax.set_xticks(main_break_expenses_mean_reset.index)\n",
    "ax.set_xticklabels(main_break_expenses_mean_reset['MATERIAL'])\n",
    "ax.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "8da8526c",
   "metadata": {},
   "source": [
    "#### This visual representation illustrates the average cost of each work order expenditure, offering a comprehensive overview of the contributions that play a pivotal role in the Total Cost and those that have less of an impact. A striking disparity emerges when comparing the total costs for the most commonly used materials—DI stands out with significantly higher total costs than CI. However, a nuanced perspective unfolds when we narrow our focus to material costs, revealing that DI is only marginally more expensive than CI in this specific expenditure category."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "ea5edc34",
   "metadata": {},
   "source": [
    "## Exploring the relationship between the cost of work order's and watermain age at the time of breakage:"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "25f09d69",
   "metadata": {},
   "source": [
    "#### I seek to uncover patterns related to the ages at which pipe materials commonly experience breakages and understand the associated repair costs incurred during watermain breaks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "6b3f7970",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MATERIAL</th>\n",
       "      <th>Age</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AC</td>\n",
       "      <td>73</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>CI</td>\n",
       "      <td>73</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>CI</td>\n",
       "      <td>72</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>CI</td>\n",
       "      <td>71</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>CI</td>\n",
       "      <td>70</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>DI</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>HDPE</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>DI</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>DI</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>DI</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>74 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   MATERIAL  Age  Count\n",
       "0        AC   73      1\n",
       "25       CI   73      5\n",
       "24       CI   72     24\n",
       "23       CI   71     11\n",
       "22       CI   70     10\n",
       "..      ...  ...    ...\n",
       "29       DI    9      1\n",
       "70     HDPE    9      1\n",
       "28       DI    6      2\n",
       "27       DI    5      1\n",
       "26       DI    2      1\n",
       "\n",
       "[74 rows x 3 columns]"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# created a table to identify the frequencey of age pipe materials exerienced a break at. \n",
    "grouped_ages = main_data.groupby(['MATERIAL', 'Age']).size().reset_index(name='Count')\n",
    "grouped_ages_sorted = grouped_ages.sort_values(by='Age', ascending= False)\n",
    "\n",
    "grouped_ages_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "b6bba4a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# there was one outlier with a total cost above over 40000. this made the plot hard to read, so i put a threshold in\n",
    "cost_threshold = 40000\n",
    "filtered_data = main_data[main_data['Total Cost'] <= cost_threshold]\n",
    "\n",
    "# created a scatterplot to show age vs total cost of ever workorder\n",
    "plt.figure(figsize=(8, 4))\n",
    "sns.scatterplot(x='Age', y='Total Cost', hue='MATERIAL', data=filtered_data, palette='husl', alpha=0.7, edgecolor='black')\n",
    "\n",
    "plt.title('Scatter Plot of Age vs Total Cost by Material (Outliers Removed)')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Total Cost ($)')\n",
    "plt.legend(title='Material')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "0a8dd227",
   "metadata": {},
   "source": [
    "#### The scatterplot highlights a concentration of CI pipe breaks typically occurring in the 50-70 years age range, accompanied by total costs ranging from $2000 to $5000. In contrast, when examining DI, the data points exhibit a more dispersed pattern. An estimated majority for DI pipe breaks might fall within the 40-55 years age bracket, accompanied by an average cost spanning from $1700 to $5000.\n",
    "\n",
    "#### Regrettably, the scarcity of data points prevents drawing definitive conclusions about other materials."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "0733ac8b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/0k/xs0rlfyd4_x_ft_xsh29q6jc0000gn/T/ipykernel_44661/221456123.py:2: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  grouped_ages_mean = main_data.groupby('MATERIAL')['Age', 'Total Cost'].mean().reset_index()\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MATERIAL</th>\n",
       "      <th>Age</th>\n",
       "      <th>Total Cost</th>\n",
       "      <th>Cost/Age Ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AC</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>1081.358750</td>\n",
       "      <td>14.813134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CI</td>\n",
       "      <td>61.583333</td>\n",
       "      <td>2869.908957</td>\n",
       "      <td>46.602040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DI</td>\n",
       "      <td>45.500000</td>\n",
       "      <td>3276.411849</td>\n",
       "      <td>72.009052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HDPE</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PVC</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>2326.650844</td>\n",
       "      <td>166.189346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>STL</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>3212.105237</td>\n",
       "      <td>58.401913</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  MATERIAL        Age   Total Cost  Cost/Age Ratio\n",
       "0       AC  73.000000  1081.358750       14.813134\n",
       "1       CI  61.583333  2869.908957       46.602040\n",
       "2       DI  45.500000  3276.411849       72.009052\n",
       "3     HDPE   9.000000     0.000000        0.000000\n",
       "4      PVC  14.000000  2326.650844      166.189346\n",
       "5      STL  55.000000  3212.105237       58.401913"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# created a table to display the average age and the average total cost of watermain breaks\n",
    "grouped_ages_mean = main_data.groupby('MATERIAL')['Age', 'Total Cost'].mean().reset_index()\n",
    "\n",
    "# made a ratio to measure cost efficency of pipe materials over their lifespan \n",
    "grouped_ages_mean['Cost/Age Ratio'] = grouped_ages_mean['Total Cost'] / grouped_ages_mean['Age']\n",
    "\n",
    "grouped_ages_mean"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "e8ddc06a",
   "metadata": {},
   "source": [
    "\n",
    "#### Viewing the data from a different perspective, the Cost/Age Ratio unveils an insightful metric. It indicates the annual expenditure, on average, for each year of a water main's age before requiring replacement or maintenance. For instance, a Cost/Age Ratio of $46.60 would imply an expenditure of approximately $46.60 every year for each year of the water main's lifespan. This metric serves as a valuable measure of cost efficiency across different pipe materials, shedding light on how effectively resources are allocated relative to the age and durability of the infrastructure."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "1874ca7b",
   "metadata": {},
   "source": [
    "## Measuring the average cost of watermain break maintenance over the years: "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "4e9ccf6c",
   "metadata": {},
   "source": [
    "#### This analysis aims to examine the historical shifts in water main maintenance costs per pipe material, focusing on trends since the 1950s. The goal is to discern patterns in average pricing, providing valuable insights into the evolving landscape of repair costs over the years and potentially the future."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "badcf67e",
   "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>MATERIAL</th>\n",
       "      <th>AC</th>\n",
       "      <th>CI</th>\n",
       "      <th>DI</th>\n",
       "      <th>HDPE</th>\n",
       "      <th>PVC</th>\n",
       "      <th>STL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR of WM Break</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>2012</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3217.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>2324.331129</td>\n",
       "      <td>2863.671500</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>2730.126607</td>\n",
       "      <td>2886.291600</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>2760.863256</td>\n",
       "      <td>2858.673456</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3212.105237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>2465.081080</td>\n",
       "      <td>3353.504471</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>3034.443434</td>\n",
       "      <td>1945.386125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>2975.553264</td>\n",
       "      <td>2629.005851</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2326.650844</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>3060.928757</td>\n",
       "      <td>5110.173904</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>3581.663054</td>\n",
       "      <td>3853.298641</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>4281.260636</td>\n",
       "      <td>4351.811014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>2551.204136</td>\n",
       "      <td>3018.675857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023</th>\n",
       "      <td>1081.35875</td>\n",
       "      <td>2300.856719</td>\n",
       "      <td>6484.385384</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "MATERIAL                  AC           CI           DI  HDPE          PVC  \\\n",
       "YEAR of WM Break                                                            \n",
       "2012                 0.00000     0.000000  3217.020000   0.0     0.000000   \n",
       "2013                 0.00000  2324.331129  2863.671500   0.0     0.000000   \n",
       "2014                 0.00000  2730.126607  2886.291600   0.0     0.000000   \n",
       "2015                 0.00000  2760.863256  2858.673456   0.0     0.000000   \n",
       "2016                 0.00000  2465.081080  3353.504471   0.0     0.000000   \n",
       "2017                 0.00000  3034.443434  1945.386125   0.0     0.000000   \n",
       "2018                 0.00000  2975.553264  2629.005851   0.0  2326.650844   \n",
       "2019                 0.00000  3060.928757  5110.173904   0.0     0.000000   \n",
       "2020                 0.00000  3581.663054  3853.298641   0.0     0.000000   \n",
       "2021                 0.00000  4281.260636  4351.811014   0.0     0.000000   \n",
       "2022                 0.00000  2551.204136  3018.675857   0.0     0.000000   \n",
       "2023              1081.35875  2300.856719  6484.385384   0.0     0.000000   \n",
       "\n",
       "MATERIAL                  STL  \n",
       "YEAR of WM Break               \n",
       "2012                 0.000000  \n",
       "2013                 0.000000  \n",
       "2014                 0.000000  \n",
       "2015              3212.105237  \n",
       "2016                 0.000000  \n",
       "2017                 0.000000  \n",
       "2018                 0.000000  \n",
       "2019                 0.000000  \n",
       "2020                 0.000000  \n",
       "2021                 0.000000  \n",
       "2022                 0.000000  \n",
       "2023                 0.000000  "
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# created a table to show the average annual cost of watermain repairs per material\n",
    "yearly_cost_table = pd.pivot_table(main_data, values='Total Cost', index='YEAR of WM Break', columns='MATERIAL', aggfunc='mean').fillna(0.0)\n",
    "\n",
    "yearly_cost_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "2e0d1ea2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# created a line chart to visualize my table results\n",
    "plt.figure(figsize=(8, 4))\n",
    "\n",
    "sns.lineplot(data=yearly_cost_table, marker='o')\n",
    "\n",
    "plt.title('Average Total Costs of Water Main Replacement Over the Years by Material')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Average Total Cost ($)')\n",
    "plt.legend(title='Material', bbox_to_anchor=(1, 1))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "9880f59e",
   "metadata": {},
   "source": [
    "#### This line graph holds significance as it illuminates trends in water main repair costs dating back to 2012. Unfortunately, due to data limitations, our examination is confined to materials CI and DI. Within these materials, distinct patterns emerge in the total average costs of water main repairs. Notably, over the observed period, replacement expenses for CI pipes consistently trended lower than those for DI. Of particular interest is the current trajectory: while DI average repair costs are on an upward trend, CI costs are on a downward trajectory. This observation offers valuable insights into potential future costs associated with these pipe repairs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "58a83e4d",
   "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>MATERIAL</th>\n",
       "      <th>AC</th>\n",
       "      <th>CI</th>\n",
       "      <th>DI</th>\n",
       "      <th>HDPE</th>\n",
       "      <th>PVC</th>\n",
       "      <th>STL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>YEAR of WM Break</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>2012</th>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>438.900000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>0.00</td>\n",
       "      <td>318.326774</td>\n",
       "      <td>391.440000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>0.00</td>\n",
       "      <td>342.280893</td>\n",
       "      <td>375.806800</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>0.00</td>\n",
       "      <td>797.252558</td>\n",
       "      <td>663.341717</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>325.365237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>0.00</td>\n",
       "      <td>323.513483</td>\n",
       "      <td>371.773951</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>0.00</td>\n",
       "      <td>423.571919</td>\n",
       "      <td>231.244667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>0.00</td>\n",
       "      <td>335.825831</td>\n",
       "      <td>439.642689</td>\n",
       "      <td>0.0</td>\n",
       "      <td>249.015844</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>0.00</td>\n",
       "      <td>422.026840</td>\n",
       "      <td>1317.203154</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>0.00</td>\n",
       "      <td>569.766117</td>\n",
       "      <td>768.275454</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>0.00</td>\n",
       "      <td>1090.829191</td>\n",
       "      <td>1014.340139</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>0.00</td>\n",
       "      <td>432.611362</td>\n",
       "      <td>510.107607</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023</th>\n",
       "      <td>112.22</td>\n",
       "      <td>541.130950</td>\n",
       "      <td>2253.652384</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "MATERIAL              AC           CI           DI  HDPE         PVC  \\\n",
       "YEAR of WM Break                                                       \n",
       "2012                0.00     0.000000   438.900000   0.0    0.000000   \n",
       "2013                0.00   318.326774   391.440000   0.0    0.000000   \n",
       "2014                0.00   342.280893   375.806800   0.0    0.000000   \n",
       "2015                0.00   797.252558   663.341717   0.0    0.000000   \n",
       "2016                0.00   323.513483   371.773951   0.0    0.000000   \n",
       "2017                0.00   423.571919   231.244667   0.0    0.000000   \n",
       "2018                0.00   335.825831   439.642689   0.0  249.015844   \n",
       "2019                0.00   422.026840  1317.203154   0.0    0.000000   \n",
       "2020                0.00   569.766117   768.275454   0.0    0.000000   \n",
       "2021                0.00  1090.829191  1014.340139   0.0    0.000000   \n",
       "2022                0.00   432.611362   510.107607   0.0    0.000000   \n",
       "2023              112.22   541.130950  2253.652384   0.0    0.000000   \n",
       "\n",
       "MATERIAL                 STL  \n",
       "YEAR of WM Break              \n",
       "2012                0.000000  \n",
       "2013                0.000000  \n",
       "2014                0.000000  \n",
       "2015              325.365237  \n",
       "2016                0.000000  \n",
       "2017                0.000000  \n",
       "2018                0.000000  \n",
       "2019                0.000000  \n",
       "2020                0.000000  \n",
       "2021                0.000000  \n",
       "2022                0.000000  \n",
       "2023                0.000000  "
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# created the same table as the previous table, but focused on Material Cost compared to Total Cost.\n",
    "yearly_material_cost_table = pd.pivot_table(main_data, values='Material Cost', index='YEAR of WM Break', columns='MATERIAL', aggfunc='mean').fillna(0.0)\n",
    "\n",
    "yearly_material_cost_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "f35c8478",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# created a line chart to visualize my table results\n",
    "plt.figure(figsize=(8, 4))\n",
    "\n",
    "sns.lineplot(data=yearly_material_cost_table, marker='o')\n",
    "\n",
    "plt.title('Average Annual Material Costs of Water Main Replacement Over the Years')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Average Material Cost ($)')\n",
    "plt.legend(title='Material')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "4c8ddd9d",
   "metadata": {},
   "source": [
    "#### I found it intriguing to focus specifically on Material Costs per work order. This chart provides a visual narrative of the evolving landscape of material prices across the years. Notably, both CI and DI exhibit a subtle upward trend over time. However, a distinctive shift becomes apparent from 2018 onward—DI, in relative terms, has become comparatively more expensive than CI and is exhibiting a steeper upward trajectory."
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "1ba82109",
   "metadata": {},
   "source": [
    "## Diving Deeper, Exploring the relationship between pipe diameter and work order expenses: "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "92015767",
   "metadata": {},
   "source": [
    "#### Last, revisiting my correlation heatmap, I observed a slight association between pipe diameter and costs. While the explanation might seem self-evident (larger pipes generally incurring higher costs), I sought to delve deeper, exploring the possibility of uncovering any hidden correlations that might elude casual observation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "d056f066",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>DIAMETER</th>\n",
       "      <th>% of all breaks</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6.00</td>\n",
       "      <td>340</td>\n",
       "      <td>57.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8.00</td>\n",
       "      <td>119</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12.00</td>\n",
       "      <td>60</td>\n",
       "      <td>10.084034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.00</td>\n",
       "      <td>30</td>\n",
       "      <td>5.042017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>16.00</td>\n",
       "      <td>22</td>\n",
       "      <td>3.697479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20.00</td>\n",
       "      <td>8</td>\n",
       "      <td>1.344538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10.00</td>\n",
       "      <td>8</td>\n",
       "      <td>1.344538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3.00</td>\n",
       "      <td>4</td>\n",
       "      <td>0.672269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2.00</td>\n",
       "      <td>2</td>\n",
       "      <td>0.336134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2.25</td>\n",
       "      <td>2</td>\n",
       "      <td>0.336134</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index  DIAMETER  % of all breaks\n",
       "0   6.00       340        57.142857\n",
       "1   8.00       119        20.000000\n",
       "2  12.00        60        10.084034\n",
       "3   4.00        30         5.042017\n",
       "4  16.00        22         3.697479\n",
       "5  20.00         8         1.344538\n",
       "6  10.00         8         1.344538\n",
       "7   3.00         4         0.672269\n",
       "8   2.00         2         0.336134\n",
       "9   2.25         2         0.336134"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# did a value_count on diameter to get an undertanding of what pipe diameters experience a watermain break.\n",
    "diameter_count = main_data['DIAMETER'].value_counts().reset_index()\n",
    "\n",
    "# converted results to a percentage\n",
    "diameter_count[\"% of all breaks\"] = (diameter_count['DIAMETER'] / main_data['DIAMETER'].count()) * 100\n",
    "\n",
    "diameter_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "39cc1be9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>MATERIAL</th>\n",
       "      <th>AC</th>\n",
       "      <th>CI</th>\n",
       "      <th>DI</th>\n",
       "      <th>HDPE</th>\n",
       "      <th>PVC</th>\n",
       "      <th>STL</th>\n",
       "      <th>Price Change DI-CI</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DIAMETER</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>2.00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>130.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.25</th>\n",
       "      <td>NaN</td>\n",
       "      <td>240.820000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>120.230000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>335.630428</td>\n",
       "      <td>336.664748</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.034321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>437.428804</td>\n",
       "      <td>542.936428</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>105.507624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.00</th>\n",
       "      <td>112.22</td>\n",
       "      <td>415.399716</td>\n",
       "      <td>554.924201</td>\n",
       "      <td>NaN</td>\n",
       "      <td>249.015844</td>\n",
       "      <td>NaN</td>\n",
       "      <td>139.524485</td>\n",
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       "    <tr>\n",
       "      <th>10.00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>268.222437</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12.00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>498.809453</td>\n",
       "      <td>564.018861</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>325.365237</td>\n",
       "      <td>65.209408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16.00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>912.793566</td>\n",
       "      <td>1243.572655</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>330.779090</td>\n",
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       "    <tr>\n",
       "      <th>20.00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>9706.899250</td>\n",
       "      <td>1661.725424</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-8045.173827</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "MATERIAL      AC           CI           DI  HDPE         PVC         STL  \\\n",
       "DIAMETER                                                                   \n",
       "2.00         NaN     0.000000   130.600000   NaN         NaN         NaN   \n",
       "2.25         NaN   240.820000          NaN   NaN         NaN         NaN   \n",
       "3.00         NaN   120.230000          NaN   NaN         NaN         NaN   \n",
       "4.00         NaN   335.630428   336.664748   NaN         NaN         NaN   \n",
       "6.00         NaN   437.428804   542.936428   NaN         NaN         NaN   \n",
       "8.00      112.22   415.399716   554.924201   NaN  249.015844         NaN   \n",
       "10.00        NaN          NaN   268.222437   NaN         NaN         NaN   \n",
       "12.00        NaN   498.809453   564.018861   NaN         NaN  325.365237   \n",
       "16.00        NaN   912.793566  1243.572655   0.0         NaN         NaN   \n",
       "20.00        NaN  9706.899250  1661.725424   NaN         NaN         NaN   \n",
       "\n",
       "MATERIAL  Price Change DI-CI  \n",
       "DIAMETER                      \n",
       "2.00              130.600000  \n",
       "2.25                     NaN  \n",
       "3.00                     NaN  \n",
       "4.00                1.034321  \n",
       "6.00              105.507624  \n",
       "8.00              139.524485  \n",
       "10.00                    NaN  \n",
       "12.00              65.209408  \n",
       "16.00             330.779090  \n",
       "20.00           -8045.173827  "
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# made a table that shows the average cost of material by diameter \n",
    "diameter_cost_table = pd.pivot_table(main_data, values='Material Cost', index='DIAMETER', columns='MATERIAL', aggfunc='mean')\n",
    "\n",
    "# showed the change in CI and DI average price per diameter to determine which pipe was more affordable\n",
    "diameter_cost_table['Price Change DI-CI'] = diameter_cost_table['DI'] - diameter_cost_table['CI']\n",
    "\n",
    "diameter_cost_table"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "d51c2cbb",
   "metadata": {},
   "source": [
    "#### These tables offer a wealth of insights. In revisiting my RQ1 analysis, I uncovered that the prevailing pipe diameter is 8.0, closely trailed by 12.0 and 6.0. Delving into the details from the first table, a distinctive trend comes to light—despite their lower frequency in usage, 6.0 pipes significantly contribute to water main breaks, surpassing both 8.0 and 12.0. This intriguing revelation suggests that, despite their lesser prevalence, 6.0 pipes exhibit a notable lack of durability.\n",
    "\n",
    "#### Furthermore, examining the second table unveils a compelling pattern. For the top three most frequently employed pipe diameters, CI stands out as notably more cost-effective across all diameter categories. This observation underscores the economic advantage of CI, even when considering the most commonly utilized pipe sizes. "
   ]
  }
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