cremerfAnalysis.ipynb

{
  "cells": [
    {
      "attachments": {},
      "cell_type": "markdown",
      "id": "ae010f33-c6b5-475d-acd5-d37df011a5bd",
      "metadata": {
        "id": "ae010f33-c6b5-475d-acd5-d37df011a5bd",
        "tags": []
      },
      "source": [
        "# Analysis of NBA players of the 2021/2022 season"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "id": "01778870-2619-4f79-a9a9-39e5d368cc18",
      "metadata": {
        "id": "01778870-2619-4f79-a9a9-39e5d368cc18"
      },
      "source": [
        "#### Goals of the project:\n",
        "\n",
        "- Understanding how to query an API to create a dataset with Python and Pandas.\n",
        "- Cleanup a dataset and generate new fields from calculated data.\n",
        "- Storing the created dataset in a serialized manner.\n",
        "- Generating statistics about data.\n",
        "- Visualizing."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "67f24c7c-0f5e-4e1e-afe9-d7a1a99665f5",
      "metadata": {
        "id": "67f24c7c-0f5e-4e1e-afe9-d7a1a99665f5"
      },
      "source": [
        "## Introduction"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "efb6e67d-55c9-4af3-9f9b-ca503be01355",
      "metadata": {
        "id": "efb6e67d-55c9-4af3-9f9b-ca503be01355"
      },
      "source": [
        "### A brief description of basketball and the NBA"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "7d6da412-3b11-4541-9165-b4eea8570c3e",
      "metadata": {
        "id": "7d6da412-3b11-4541-9165-b4eea8570c3e"
      },
      "source": [
        "The National Basketball Association is the main basketball league in the United States of America. It currently features 30 teams from different cities, divided in 2 conferences (East and West) of 15 teams. Each team plays a total of 82 games during the regular season. After that, the 8 teams with better records from each conference are seeded in a playoff format, with the winner of each conference playing the finals to determine the eventual champion. NBA seasons usually play out between october of one year, to june of the next year, so for example the current season being played is called the 2021/2022 season.\n",
        "\n",
        "As in most leagues in the world, the game is played 5 vs 5 players, with as many as 9 reserve players that can rotate with the starters as many times as the team wants. Games are played to 48 minutes, so the total amount of minutes of combined play time for any team in a single game with no added time is 240 minutes. If the score is tied at the end of the 48 minutes, 5 minutes of extra time are played, this continues until a winner is decided.\n",
        "\n",
        "Even though they can play multiple positions, players are usually classified according to the following positions:\n",
        "\n",
        "- Guards\n",
        "    - Point Guards\n",
        "    - Shooting Guards\n",
        "- Forwards\n",
        "    - Small Forwards\n",
        "    - Power Forwards\n",
        "- Centers\n",
        "\n",
        "This project focus on the three main positions: Guards/Forwards/Centers"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "2f6e860b-d366-4198-b74e-805fcc7bce6c",
      "metadata": {
        "id": "2f6e860b-d366-4198-b74e-805fcc7bce6c"
      },
      "source": [
        "### 1. Collecting information for building the dataset"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "54f9b97d-32f9-4ee1-830c-724d28b85833",
      "metadata": {
        "id": "54f9b97d-32f9-4ee1-830c-724d28b85833"
      },
      "source": [
        "To get the information, I'm going to use this API:\n",
        " \n",
        "- https://github.com/swar/nba_api\n",
        "\n",
        "This is a Python library that can be used to obtain data from stats.nba.com, it provides a set of methods that abstracts you from making the http calls, but directly makes calls to nba stats page and parses the results.\n",
        "    "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "405a2ab9",
      "metadata": {},
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from nba_api.stats.endpoints import commonplayerinfo\n",
        "from nba_api.stats.endpoints import commonallplayers\n",
        "from unidecode import unidecode\n",
        "from nba_api.stats.endpoints import playercareerstats\n",
        "import time\n",
        "from dateutil import relativedelta\n",
        "from datetime import datetime\n",
        "from datetime import date\n",
        "from dateutil.relativedelta import relativedelta\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib.colors\n",
        "import geopandas as gpd\n",
        "import folium"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "2ce48cb6-3f35-4f62-a652-edc84f171010",
      "metadata": {
        "id": "2ce48cb6-3f35-4f62-a652-edc84f171010"
      },
      "outputs": [],
      "source": [
        "def get_and_save_players_list():\n",
        "    \"\"\"\n",
        "    Function to find all ACTIVE players, meaning players that are listed with a team in the 2021/2022 season.\n",
        "    Save the dataframe to a csv named \"nba_current_players_list.csv\"\n",
        "        \n",
        "    Return\n",
        "    ------------------------------\n",
        "    current_players_list: pd.DataFrame\n",
        "    \"\"\"\n",
        "\n",
        "    current_players_list = commonallplayers.CommonAllPlayers().common_all_players.get_data_frame() \n",
        "    filter = (current_players_list.PERSON_ID != 1630597) & (current_players_list.PERSON_ID != 1630492) & (current_players_list.GAMES_PLAYED_FLAG != 'N') & (current_players_list.TEAM_ID != 0)\n",
        "    current_players_list = current_players_list[filter]\n",
        "    \n",
        "    return current_players_list"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "d1619cb8-d6cf-4645-b696-a351fac2f3a9",
      "metadata": {
        "id": "d1619cb8-d6cf-4645-b696-a351fac2f3a9"
      },
      "outputs": [],
      "source": [
        "current_players_list = get_and_save_players_list()\n",
        "current_players_list.to_csv(\"nba_current_players_list.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "c0c600b2",
      "metadata": {},
      "outputs": [],
      "source": [
        "def get_players_personal_information(current_players_list: pd.DataFrame) -> pd.DataFrame:\n",
        "        \"\"\"\n",
        "        Function to find the personal information of all players listed in the dataframe created in the previous step, \n",
        "        and save it to a csv file named \"nba_players_personal_info.csv\". The function should also return the created dataframe.\n",
        "\n",
        "        Parameters\n",
        "        ------------------------------\n",
        "        current_player_list: pd.DataFrame\n",
        "        \n",
        "        Return\n",
        "        ------------------------------\n",
        "        player_personal_info: pd.DataFrame\n",
        "        \"\"\"\n",
        "        pd_lists = [] \n",
        "\n",
        "        persons_id = [x for x in current_players_list['PERSON_ID']] # Extract IDs (and save in a list persons_id)\n",
        "\n",
        "        for id in persons_id: \n",
        "                request = commonplayerinfo.CommonPlayerInfo(id).common_player_info.get_data_frame() # Make an API call and use a method to get a DF\n",
        "                pd_lists.append(request) # Append those API calls outputs into the list (pd_lists) initialized up there\n",
        "                player_personal_info = pd.concat(pd_lists) # Concat what we have in the list into the DF -> player_personal_info\n",
        "                time.sleep(1) # Set 1 second between iteration to avoid being blocked by the API\n",
        "\n",
        "\n",
        "        return player_personal_info"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "d34373b8-fc72-48e1-aef3-654508a27308",
      "metadata": {
        "id": "d34373b8-fc72-48e1-aef3-654508a27308"
      },
      "outputs": [],
      "source": [
        "players_personal_info = get_players_personal_information(current_players_list)\n",
        "players_personal_info.to_csv(\"nba_players_personal_info.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "4187069c",
      "metadata": {},
      "outputs": [],
      "source": [
        "def get_players_career_stats(current_players_list: pd.DataFrame) -> pd.DataFrame:\n",
        "    \"\"\"\n",
        "    Function to find players career statistics, store the information in a CSV file called \"nba_players_career_stats.csv\"\n",
        "\n",
        "    Parameters\n",
        "    ------------------------------\n",
        "    current_player_list: pd.DataFrame\n",
        "\n",
        "    Return\n",
        "    ------------------------------\n",
        "    players_career_stats: pd.DataFrame\n",
        "    \"\"\"\n",
        "    pd_lists = []\n",
        "\n",
        "    for id in current_players_list['PERSON_ID'].values: \n",
        "        request = playercareerstats.PlayerCareerStats(player_id=id,per_mode36=\"PerGame\").career_totals_regular_season.get_data_frame()\n",
        "        pd_lists.append(request)\n",
        "        players_career_stats = pd.concat(pd_lists)\n",
        "        time.sleep(1)\n",
        "\n",
        "    return players_career_stats"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "af100c14-2b06-4019-8a6a-6299f66da4df",
      "metadata": {
        "id": "af100c14-2b06-4019-8a6a-6299f66da4df"
      },
      "outputs": [],
      "source": [
        "players_career_stats = get_players_career_stats(current_players_list)\n",
        "players_career_stats.to_csv(\"nba_players_career_stats.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "id": "cecfecb4-62bb-41b9-b4ae-13b57c3e2198",
      "metadata": {
        "id": "cecfecb4-62bb-41b9-b4ae-13b57c3e2198"
      },
      "outputs": [],
      "source": [
        "def get_nba_players_salaries(csv_file_path: str) -> pd.DataFrame:\n",
        "    \"\"\"\n",
        "    Function to find players salary for this season. You can get the list of players and salaries from this file: [contracts.csv].\n",
        "\n",
        "    (https://drive.google.com/file/d/1bxjuIZfMS2_kickukdC3ggdXIVeZE5y7/view?usp=sharing). \n",
        "\n",
        "    Download and use the file path as input for this function `get_nba_players_salaries()`.\n",
        "\n",
        "    Parameters\n",
        "    ------------------------------\n",
        "    csv_file_path: str\n",
        "    \"\"\"\n",
        "\n",
        "    contracts = pd.read_csv(csv_file_path, skiprows=[0], index_col=0) \n",
        "    contracts.rename(columns={'Player':'PLAYER_NAME', '2021-22':'SALARY'}, inplace=True) # 1st cleaning: rename columns\n",
        "    contracts['PLAYER_NAME'] = contracts.PLAYER_NAME.str.split('\\\\', expand=True)[0] # split into 2 columns PLAYER_NAME and keep the first one\n",
        "    contracts['SALARY'] = contracts.SALARY.str.replace('$','') # erase $ from SALARY column\n",
        "    contracts.drop_duplicates(subset=['PLAYER_NAME'], inplace=True) \n",
        "    contracts['PLAYER_NAME'] = contracts['PLAYER_NAME'].apply(unidecode) # decode special characters from PLAYER_NAME\n",
        "    contracts = contracts[contracts['PLAYER_NAME'].isin(players_personal_info['DISPLAY_FIRST_LAST'])] # just keep players who are also in the DB of NBA\n",
        "    contracts.dropna(subset=['SALARY'], inplace=True)\n",
        "    players_salaries = pd.DataFrame(contracts) # create a df\n",
        "    \n",
        "\n",
        "    return players_salaries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "id": "72f0edd5-c702-463e-8e17-4270a3131bba",
      "metadata": {
        "id": "72f0edd5-c702-463e-8e17-4270a3131bba"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\585971973.py:10: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
            "  contracts['SALARY'] = contracts.SALARY.str.replace('$','') # erase $ from SALARY column\n"
          ]
        }
      ],
      "source": [
        "players_salaries = get_nba_players_salaries(\"contracts.csv\")\n",
        "players_salaries.to_csv(\"nba_players_salary.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "id": "81bb411a-ecf4-4cd8-8cd8-2d9259397324",
      "metadata": {
        "id": "81bb411a-ecf4-4cd8-8cd8-2d9259397324"
      },
      "outputs": [],
      "source": [
        "def merge_dataframes(players_personal_info: pd.DataFrame, players_career_stats: pd.DataFrame, players_salaries: pd.DataFrame) -> pd.DataFrame:\n",
        "    \"\"\"\n",
        "    Function to merge the created dataframes: players_personal_info, players_career_stats, players_next_game, players_salaries. \n",
        "\n",
        "    Columns from each DataFrame to be used: \n",
        "    - Players info: \"PLAYER_NAME\", \"TEAM_NAME\", \"POSITION\", \"HEIGHT\", \"WEIGHT\", \"COUNTRY\", \"BIRTHDATE\", \"SEASON_EXP\", \"DRAFT_NUMBER\"\n",
        "    - Players stats: \"GP\", \"MIN\", \"PTS\", \"REB\", \"AST\", \"STL\", \"BLK\"\n",
        "    - Misc: \"SALARY\"\n",
        "\n",
        "    Save the result to a csv called \"raw_nba_players_dataset.csv\"\n",
        "\n",
        "    Parameters\n",
        "    ------------------------------\n",
        "    players_personal_info: pd.DataFrame\n",
        "    players_career_stats: pd.DataFrame\n",
        "    players_salaries: pd.DataFrame\n",
        "\n",
        "    Return\n",
        "    ------------------------------\n",
        "    raw_players_dataset: pd.DataFrame\n",
        "    \"\"\"\n",
        "    \n",
        "    players_personal_info = players_personal_info.rename(columns={'PERSON_ID':'PLAYER_ID','DISPLAY_FIRST_LAST':'PLAYER_NAME'}) \n",
        "    first_merge = pd.merge(players_personal_info,players_career_stats, how='inner', on='PLAYER_ID') \n",
        "    raw_players_dataset = pd.merge(first_merge, players_salaries, how='outer', on='PLAYER_NAME')\n",
        "    filters = [\"PLAYER_NAME\" ,\"TEAM_NAME\", \"POSITION\", \"HEIGHT\", \"WEIGHT\", \"COUNTRY\", \"BIRTHDATE\", \"SEASON_EXP\", \"DRAFT_NUMBER\", \"GP\", \"MIN\", \"PTS\", \"REB\", \"AST\", \"STL\", \"BLK\", \"SALARY\"]\n",
        "    raw_players_dataset = raw_players_dataset[filters]\n",
        "\n",
        "    return raw_players_dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "id": "388ceb75-3de2-4e28-a10a-d389d7617905",
      "metadata": {
        "id": "388ceb75-3de2-4e28-a10a-d389d7617905"
      },
      "outputs": [],
      "source": [
        "raw_players_dataset = merge_dataframes(players_personal_info, players_career_stats, players_salaries)\n",
        "raw_players_dataset.to_csv(\"raw_nba_players_dataset.csv\")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b08b2775-dd82-415a-8a6e-46c51b8c3f2b",
      "metadata": {
        "id": "b08b2775-dd82-415a-8a6e-46c51b8c3f2b"
      },
      "source": [
        "### 2. Data Cleaning and Preprocessing"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c52dd5c8-5536-4b0e-a51a-6d7ff4140c0b",
      "metadata": {
        "id": "c52dd5c8-5536-4b0e-a51a-6d7ff4140c0b"
      },
      "source": [
        "- Height and weight might need to be converted to the metric system.\n",
        "- Players that have no team assigned should be removed from the dataset.\n",
        "- Players with no contracts (meaning they don't have a salary defined) should be removed from the dataset.\n",
        "- If the \"position\" data is ambiguous (listed at multiple positions), use the first value.\n",
        "- If the player does not have height or weight data, I use the average for its position as its value."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 267,
      "id": "4327e4da-a3e0-4870-a7a4-abea76fb2205",
      "metadata": {
        "id": "4327e4da-a3e0-4870-a7a4-abea76fb2205"
      },
      "outputs": [],
      "source": [
        "def copy_and_delete_nan(players_dataset: pd.DataFrame) -> pd.DataFrame:\n",
        "    \"\"\"\n",
        "    Create a copy of your dataset named \"working_df\", remove all players with no teams or salary\n",
        "    \n",
        "    Parameters\n",
        "    ------------------------------\n",
        "    players_personal_info: pd.DataFrame\n",
        "\n",
        "    Return\n",
        "    ------------------------------\n",
        "    working_df: pd.DataFrame\n",
        "    \"\"\"\n",
        "    players_dataset = raw_players_dataset \n",
        "    no_team_nor_salary = ['SALARY','TEAM_NAME']\n",
        "    working_df = players_dataset.dropna(subset=no_team_nor_salary) # Drop players who don't have salary nor team \n",
        "\n",
        "\n",
        "    return working_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 268,
      "id": "93e2d191-dadd-481c-91fa-ff5aac1c824b",
      "metadata": {
        "id": "93e2d191-dadd-481c-91fa-ff5aac1c824b"
      },
      "outputs": [],
      "source": [
        "working_df = copy_and_delete_nan(raw_players_dataset)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 270,
      "id": "d3b4d50c-4677-4014-88cc-78f142811b8b",
      "metadata": {
        "id": "d3b4d50c-4677-4014-88cc-78f142811b8b"
      },
      "outputs": [],
      "source": [
        "def cast_columns(working_df: pd.DataFrame) -> pd.DataFrame:\n",
        "    \"\"\"\n",
        "    Cast Salary and Birthday columns to its corresponding type (int, datetime)\n",
        "\n",
        "    Parameters\n",
        "    ------------------------------\n",
        "    working_df: pd.DataFrame\n",
        "\n",
        "    Return\n",
        "    ------------------------------\n",
        "    working_df: pd.DataFrame\n",
        "    \"\"\"\n",
        "\n",
        "    working_df.loc[:,'SALARY'] =  working_df['SALARY'].astype('int64')\n",
        "    working_df.loc[:,'BIRTHDATE'] = pd.to_datetime(working_df['BIRTHDATE'])\n",
        "    \n",
        "    \n",
        "    return working_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 271,
      "id": "680875dc-2478-4213-b2f7-4a1da03ec71f",
      "metadata": {
        "id": "680875dc-2478-4213-b2f7-4a1da03ec71f"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\573090380.py:4: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  working_df.loc[:,'SALARY'] =  working_df['SALARY'].astype('int64')\n",
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\573090380.py:5: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  working_df.loc[:,'BIRTHDATE'] = pd.to_datetime(working_df['BIRTHDATE'])\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>PLAYER_NAME</th>\n",
              "      <th>TEAM_NAME</th>\n",
              "      <th>POSITION</th>\n",
              "      <th>HEIGHT</th>\n",
              "      <th>WEIGHT</th>\n",
              "      <th>COUNTRY</th>\n",
              "      <th>BIRTHDATE</th>\n",
              "      <th>SEASON_EXP</th>\n",
              "      <th>DRAFT_NUMBER</th>\n",
              "      <th>GP</th>\n",
              "      <th>MIN</th>\n",
              "      <th>PTS</th>\n",
              "      <th>REB</th>\n",
              "      <th>AST</th>\n",
              "      <th>STL</th>\n",
              "      <th>BLK</th>\n",
              "      <th>SALARY</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Precious Achiuwa</td>\n",
              "      <td>Raptors</td>\n",
              "      <td>Forward</td>\n",
              "      <td>6-8</td>\n",
              "      <td>225</td>\n",
              "      <td>Nigeria</td>\n",
              "      <td>1999-09-19</td>\n",
              "      <td>2</td>\n",
              "      <td>20</td>\n",
              "      <td>134</td>\n",
              "      <td>18.4</td>\n",
              "      <td>7.2</td>\n",
              "      <td>5.1</td>\n",
              "      <td>0.8</td>\n",
              "      <td>0.4</td>\n",
              "      <td>0.5</td>\n",
              "      <td>2711280</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Steven Adams</td>\n",
              "      <td>Grizzlies</td>\n",
              "      <td>Center</td>\n",
              "      <td>6-11</td>\n",
              "      <td>265</td>\n",
              "      <td>New Zealand</td>\n",
              "      <td>1993-07-20</td>\n",
              "      <td>9</td>\n",
              "      <td>12</td>\n",
              "      <td>664</td>\n",
              "      <td>26.8</td>\n",
              "      <td>9.3</td>\n",
              "      <td>8.0</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.9</td>\n",
              "      <td>17073171</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Bam Adebayo</td>\n",
              "      <td>Heat</td>\n",
              "      <td>Center-Forward</td>\n",
              "      <td>6-9</td>\n",
              "      <td>255</td>\n",
              "      <td>USA</td>\n",
              "      <td>1997-07-18</td>\n",
              "      <td>5</td>\n",
              "      <td>14</td>\n",
              "      <td>343</td>\n",
              "      <td>28.2</td>\n",
              "      <td>13.5</td>\n",
              "      <td>8.3</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.9</td>\n",
              "      <td>28103550</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Santi Aldama</td>\n",
              "      <td>Grizzlies</td>\n",
              "      <td>Forward-Center</td>\n",
              "      <td>6-11</td>\n",
              "      <td>215</td>\n",
              "      <td>Spain</td>\n",
              "      <td>2001-01-10</td>\n",
              "      <td>1</td>\n",
              "      <td>30</td>\n",
              "      <td>32</td>\n",
              "      <td>11.2</td>\n",
              "      <td>4.1</td>\n",
              "      <td>2.7</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.3</td>\n",
              "      <td>1994520</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>LaMarcus Aldridge</td>\n",
              "      <td>Nets</td>\n",
              "      <td>Center-Forward</td>\n",
              "      <td>6-11</td>\n",
              "      <td>250</td>\n",
              "      <td>USA</td>\n",
              "      <td>1985-07-19</td>\n",
              "      <td>16</td>\n",
              "      <td>2</td>\n",
              "      <td>1076</td>\n",
              "      <td>33.7</td>\n",
              "      <td>19.1</td>\n",
              "      <td>8.1</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.7</td>\n",
              "      <td>1.1</td>\n",
              "      <td>2641691</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>495</th>\n",
              "      <td>Delon Wright</td>\n",
              "      <td>Wizards</td>\n",
              "      <td>Guard</td>\n",
              "      <td>6-5</td>\n",
              "      <td>185</td>\n",
              "      <td>USA</td>\n",
              "      <td>1992-04-26</td>\n",
              "      <td>7</td>\n",
              "      <td>20</td>\n",
              "      <td>411</td>\n",
              "      <td>20.9</td>\n",
              "      <td>7.2</td>\n",
              "      <td>3.2</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.2</td>\n",
              "      <td>0.4</td>\n",
              "      <td>8526316</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>499</th>\n",
              "      <td>Thaddeus Young</td>\n",
              "      <td>Raptors</td>\n",
              "      <td>Forward</td>\n",
              "      <td>6-8</td>\n",
              "      <td>235</td>\n",
              "      <td>USA</td>\n",
              "      <td>1988-06-21</td>\n",
              "      <td>15</td>\n",
              "      <td>12</td>\n",
              "      <td>1085</td>\n",
              "      <td>29.3</td>\n",
              "      <td>12.8</td>\n",
              "      <td>5.8</td>\n",
              "      <td>1.8</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.4</td>\n",
              "      <td>14190000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>500</th>\n",
              "      <td>Trae Young</td>\n",
              "      <td>Hawks</td>\n",
              "      <td>Guard</td>\n",
              "      <td>6-1</td>\n",
              "      <td>164</td>\n",
              "      <td>USA</td>\n",
              "      <td>1998-09-19</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>280</td>\n",
              "      <td>33.6</td>\n",
              "      <td>25.3</td>\n",
              "      <td>3.9</td>\n",
              "      <td>9.1</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.2</td>\n",
              "      <td>8326471</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>501</th>\n",
              "      <td>Omer Yurtseven</td>\n",
              "      <td>Heat</td>\n",
              "      <td>Center</td>\n",
              "      <td>6-11</td>\n",
              "      <td>275</td>\n",
              "      <td>Turkey</td>\n",
              "      <td>1998-06-19</td>\n",
              "      <td>1</td>\n",
              "      <td>Undrafted</td>\n",
              "      <td>56</td>\n",
              "      <td>12.6</td>\n",
              "      <td>5.3</td>\n",
              "      <td>5.3</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.4</td>\n",
              "      <td>1489065</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>502</th>\n",
              "      <td>Ivica Zubac</td>\n",
              "      <td>Clippers</td>\n",
              "      <td>Center</td>\n",
              "      <td>7-0</td>\n",
              "      <td>240</td>\n",
              "      <td>Croatia</td>\n",
              "      <td>1997-03-18</td>\n",
              "      <td>6</td>\n",
              "      <td>32</td>\n",
              "      <td>360</td>\n",
              "      <td>19.0</td>\n",
              "      <td>8.3</td>\n",
              "      <td>6.5</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.8</td>\n",
              "      <td>7518518</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>428 rows × 17 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           PLAYER_NAME  TEAM_NAME        POSITION HEIGHT WEIGHT      COUNTRY  \\\n",
              "0     Precious Achiuwa    Raptors         Forward    6-8    225      Nigeria   \n",
              "1         Steven Adams  Grizzlies          Center   6-11    265  New Zealand   \n",
              "2          Bam Adebayo       Heat  Center-Forward    6-9    255          USA   \n",
              "3         Santi Aldama  Grizzlies  Forward-Center   6-11    215        Spain   \n",
              "4    LaMarcus Aldridge       Nets  Center-Forward   6-11    250          USA   \n",
              "..                 ...        ...             ...    ...    ...          ...   \n",
              "495       Delon Wright    Wizards           Guard    6-5    185          USA   \n",
              "499     Thaddeus Young    Raptors         Forward    6-8    235          USA   \n",
              "500         Trae Young      Hawks           Guard    6-1    164          USA   \n",
              "501     Omer Yurtseven       Heat          Center   6-11    275       Turkey   \n",
              "502        Ivica Zubac   Clippers          Center    7-0    240      Croatia   \n",
              "\n",
              "     BIRTHDATE  SEASON_EXP DRAFT_NUMBER    GP   MIN   PTS  REB  AST  STL  BLK  \\\n",
              "0   1999-09-19           2           20   134  18.4   7.2  5.1  0.8  0.4  0.5   \n",
              "1   1993-07-20           9           12   664  26.8   9.3  8.0  1.5  0.9  0.9   \n",
              "2   1997-07-18           5           14   343  28.2  13.5  8.3  3.5  1.0  0.9   \n",
              "3   2001-01-10           1           30    32  11.2   4.1  2.7  0.7  0.2  0.3   \n",
              "4   1985-07-19          16            2  1076  33.7  19.1  8.1  1.9  0.7  1.1   \n",
              "..         ...         ...          ...   ...   ...   ...  ...  ...  ...  ...   \n",
              "495 1992-04-26           7           20   411  20.9   7.2  3.2  3.0  1.2  0.4   \n",
              "499 1988-06-21          15           12  1085  29.3  12.8  5.8  1.8  1.4  0.4   \n",
              "500 1998-09-19           4            5   280  33.6  25.3  3.9  9.1  0.9  0.2   \n",
              "501 1998-06-19           1    Undrafted    56  12.6   5.3  5.3  0.9  0.3  0.4   \n",
              "502 1997-03-18           6           32   360  19.0   8.3  6.5  1.1  0.3  0.8   \n",
              "\n",
              "       SALARY  \n",
              "0     2711280  \n",
              "1    17073171  \n",
              "2    28103550  \n",
              "3     1994520  \n",
              "4     2641691  \n",
              "..        ...  \n",
              "495   8526316  \n",
              "499  14190000  \n",
              "500   8326471  \n",
              "501   1489065  \n",
              "502   7518518  \n",
              "\n",
              "[428 rows x 17 columns]"
            ]
          },
          "execution_count": 271,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "cast_columns(working_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 88,
      "id": "8d56db84-cb66-4ca5-8789-b8b6f7938a0b",
      "metadata": {
        "id": "8d56db84-cb66-4ca5-8789-b8b6f7938a0b"
      },
      "outputs": [],
      "source": [
        "def convert_height_column(working_df):\n",
        "    \"\"\"\n",
        "    Function that converts the height column from height in feet and inches to centimeters.\n",
        "\n",
        "    Parameters\n",
        "    ------------------------------\n",
        "    working_df: pd.DataFrame\n",
        "\n",
        "    Return\n",
        "    ------------------------------\n",
        "    working_df: pd.DataFrame\n",
        "    \"\"\"\n",
        "    conversions = [30.5, 2.5]\n",
        "    working_df['HEIGHT'] = working_df['HEIGHT'].apply(lambda x: pd.Series(map(int, x.split('-'))).dot(conversions)) # split '-' and multiply each value in the same order of factors\n",
        "    working_df['HEIGHT'] = np.ceil(working_df['HEIGHT']) # round up\n",
        "    working_df['HEIGHT'] = working_df['HEIGHT'].astype(int)\n",
        "    \n",
        "    return working_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 89,
      "id": "a0d50bed-0dc9-4672-a446-f677b7282bb0",
      "metadata": {
        "id": "a0d50bed-0dc9-4672-a446-f677b7282bb0"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\2232108319.py:7: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  working_df['HEIGHT'] = working_df['HEIGHT'].apply(lambda x: pd.Series(map(int, x.split('-'))).dot(conversions)) # split '-' and multiply each value in the same order of factors\n",
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\2232108319.py:8: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  working_df['HEIGHT'] = np.ceil(working_df['HEIGHT']) # round up\n",
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\2232108319.py:9: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  working_df['HEIGHT'] = working_df['HEIGHT'].astype(int)\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>PLAYER_NAME</th>\n",
              "      <th>TEAM_NAME</th>\n",
              "      <th>POSITION</th>\n",
              "      <th>HEIGHT</th>\n",
              "      <th>WEIGHT</th>\n",
              "      <th>COUNTRY</th>\n",
              "      <th>BIRTHDATE</th>\n",
              "      <th>SEASON_EXP</th>\n",
              "      <th>DRAFT_NUMBER</th>\n",
              "      <th>GP</th>\n",
              "      <th>MIN</th>\n",
              "      <th>PTS</th>\n",
              "      <th>REB</th>\n",
              "      <th>AST</th>\n",
              "      <th>STL</th>\n",
              "      <th>BLK</th>\n",
              "      <th>SALARY</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Precious Achiuwa</td>\n",
              "      <td>Raptors</td>\n",
              "      <td>Forward</td>\n",
              "      <td>203</td>\n",
              "      <td>225</td>\n",
              "      <td>Nigeria</td>\n",
              "      <td>1999-09-19</td>\n",
              "      <td>2</td>\n",
              "      <td>20</td>\n",
              "      <td>134</td>\n",
              "      <td>18.4</td>\n",
              "      <td>7.2</td>\n",
              "      <td>5.1</td>\n",
              "      <td>0.8</td>\n",
              "      <td>0.4</td>\n",
              "      <td>0.5</td>\n",
              "      <td>2711280</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Steven Adams</td>\n",
              "      <td>Grizzlies</td>\n",
              "      <td>Center</td>\n",
              "      <td>211</td>\n",
              "      <td>265</td>\n",
              "      <td>New Zealand</td>\n",
              "      <td>1993-07-20</td>\n",
              "      <td>9</td>\n",
              "      <td>12</td>\n",
              "      <td>664</td>\n",
              "      <td>26.8</td>\n",
              "      <td>9.3</td>\n",
              "      <td>8.0</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.9</td>\n",
              "      <td>17073171</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Bam Adebayo</td>\n",
              "      <td>Heat</td>\n",
              "      <td>Center-Forward</td>\n",
              "      <td>206</td>\n",
              "      <td>255</td>\n",
              "      <td>USA</td>\n",
              "      <td>1997-07-18</td>\n",
              "      <td>5</td>\n",
              "      <td>14</td>\n",
              "      <td>343</td>\n",
              "      <td>28.2</td>\n",
              "      <td>13.5</td>\n",
              "      <td>8.3</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.9</td>\n",
              "      <td>28103550</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Santi Aldama</td>\n",
              "      <td>Grizzlies</td>\n",
              "      <td>Forward-Center</td>\n",
              "      <td>211</td>\n",
              "      <td>215</td>\n",
              "      <td>Spain</td>\n",
              "      <td>2001-01-10</td>\n",
              "      <td>1</td>\n",
              "      <td>30</td>\n",
              "      <td>32</td>\n",
              "      <td>11.2</td>\n",
              "      <td>4.1</td>\n",
              "      <td>2.7</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.3</td>\n",
              "      <td>1994520</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>LaMarcus Aldridge</td>\n",
              "      <td>Nets</td>\n",
              "      <td>Center-Forward</td>\n",
              "      <td>211</td>\n",
              "      <td>250</td>\n",
              "      <td>USA</td>\n",
              "      <td>1985-07-19</td>\n",
              "      <td>16</td>\n",
              "      <td>2</td>\n",
              "      <td>1076</td>\n",
              "      <td>33.7</td>\n",
              "      <td>19.1</td>\n",
              "      <td>8.1</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.7</td>\n",
              "      <td>1.1</td>\n",
              "      <td>2641691</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>495</th>\n",
              "      <td>Delon Wright</td>\n",
              "      <td>Wizards</td>\n",
              "      <td>Guard</td>\n",
              "      <td>196</td>\n",
              "      <td>185</td>\n",
              "      <td>USA</td>\n",
              "      <td>1992-04-26</td>\n",
              "      <td>7</td>\n",
              "      <td>20</td>\n",
              "      <td>411</td>\n",
              "      <td>20.9</td>\n",
              "      <td>7.2</td>\n",
              "      <td>3.2</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.2</td>\n",
              "      <td>0.4</td>\n",
              "      <td>8526316</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>499</th>\n",
              "      <td>Thaddeus Young</td>\n",
              "      <td>Raptors</td>\n",
              "      <td>Forward</td>\n",
              "      <td>203</td>\n",
              "      <td>235</td>\n",
              "      <td>USA</td>\n",
              "      <td>1988-06-21</td>\n",
              "      <td>15</td>\n",
              "      <td>12</td>\n",
              "      <td>1085</td>\n",
              "      <td>29.3</td>\n",
              "      <td>12.8</td>\n",
              "      <td>5.8</td>\n",
              "      <td>1.8</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.4</td>\n",
              "      <td>14190000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>500</th>\n",
              "      <td>Trae Young</td>\n",
              "      <td>Hawks</td>\n",
              "      <td>Guard</td>\n",
              "      <td>186</td>\n",
              "      <td>164</td>\n",
              "      <td>USA</td>\n",
              "      <td>1998-09-19</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>280</td>\n",
              "      <td>33.6</td>\n",
              "      <td>25.3</td>\n",
              "      <td>3.9</td>\n",
              "      <td>9.1</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.2</td>\n",
              "      <td>8326471</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>501</th>\n",
              "      <td>Omer Yurtseven</td>\n",
              "      <td>Heat</td>\n",
              "      <td>Center</td>\n",
              "      <td>211</td>\n",
              "      <td>275</td>\n",
              "      <td>Turkey</td>\n",
              "      <td>1998-06-19</td>\n",
              "      <td>1</td>\n",
              "      <td>Undrafted</td>\n",
              "      <td>56</td>\n",
              "      <td>12.6</td>\n",
              "      <td>5.3</td>\n",
              "      <td>5.3</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.4</td>\n",
              "      <td>1489065</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>502</th>\n",
              "      <td>Ivica Zubac</td>\n",
              "      <td>Clippers</td>\n",
              "      <td>Center</td>\n",
              "      <td>214</td>\n",
              "      <td>240</td>\n",
              "      <td>Croatia</td>\n",
              "      <td>1997-03-18</td>\n",
              "      <td>6</td>\n",
              "      <td>32</td>\n",
              "      <td>360</td>\n",
              "      <td>19.0</td>\n",
              "      <td>8.3</td>\n",
              "      <td>6.5</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.8</td>\n",
              "      <td>7518518</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>428 rows × 17 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           PLAYER_NAME  TEAM_NAME        POSITION  HEIGHT WEIGHT      COUNTRY  \\\n",
              "0     Precious Achiuwa    Raptors         Forward     203    225      Nigeria   \n",
              "1         Steven Adams  Grizzlies          Center     211    265  New Zealand   \n",
              "2          Bam Adebayo       Heat  Center-Forward     206    255          USA   \n",
              "3         Santi Aldama  Grizzlies  Forward-Center     211    215        Spain   \n",
              "4    LaMarcus Aldridge       Nets  Center-Forward     211    250          USA   \n",
              "..                 ...        ...             ...     ...    ...          ...   \n",
              "495       Delon Wright    Wizards           Guard     196    185          USA   \n",
              "499     Thaddeus Young    Raptors         Forward     203    235          USA   \n",
              "500         Trae Young      Hawks           Guard     186    164          USA   \n",
              "501     Omer Yurtseven       Heat          Center     211    275       Turkey   \n",
              "502        Ivica Zubac   Clippers          Center     214    240      Croatia   \n",
              "\n",
              "     BIRTHDATE  SEASON_EXP DRAFT_NUMBER    GP   MIN   PTS  REB  AST  STL  BLK  \\\n",
              "0   1999-09-19           2           20   134  18.4   7.2  5.1  0.8  0.4  0.5   \n",
              "1   1993-07-20           9           12   664  26.8   9.3  8.0  1.5  0.9  0.9   \n",
              "2   1997-07-18           5           14   343  28.2  13.5  8.3  3.5  1.0  0.9   \n",
              "3   2001-01-10           1           30    32  11.2   4.1  2.7  0.7  0.2  0.3   \n",
              "4   1985-07-19          16            2  1076  33.7  19.1  8.1  1.9  0.7  1.1   \n",
              "..         ...         ...          ...   ...   ...   ...  ...  ...  ...  ...   \n",
              "495 1992-04-26           7           20   411  20.9   7.2  3.2  3.0  1.2  0.4   \n",
              "499 1988-06-21          15           12  1085  29.3  12.8  5.8  1.8  1.4  0.4   \n",
              "500 1998-09-19           4            5   280  33.6  25.3  3.9  9.1  0.9  0.2   \n",
              "501 1998-06-19           1    Undrafted    56  12.6   5.3  5.3  0.9  0.3  0.4   \n",
              "502 1997-03-18           6           32   360  19.0   8.3  6.5  1.1  0.3  0.8   \n",
              "\n",
              "       SALARY  \n",
              "0     2711280  \n",
              "1    17073171  \n",
              "2    28103550  \n",
              "3     1994520  \n",
              "4     2641691  \n",
              "..        ...  \n",
              "495   8526316  \n",
              "499  14190000  \n",
              "500   8326471  \n",
              "501   1489065  \n",
              "502   7518518  \n",
              "\n",
              "[428 rows x 17 columns]"
            ]
          },
          "execution_count": 89,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "convert_height_column(working_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 91,
      "id": "1532605a-d642-40c8-a15f-a8825b8276bd",
      "metadata": {
        "id": "1532605a-d642-40c8-a15f-a8825b8276bd"
      },
      "outputs": [],
      "source": [
        "def convert_weight_column(working_df: pd.DataFrame) -> pd.DataFrame:\n",
        "    \"\"\"\n",
        "    Function that converts the weight column from pounds to kilograms\n",
        "\n",
        "    Parameters\n",
        "    ------------------------------\n",
        "    working_df: pd.DataFrame\n",
        "\n",
        "    Return\n",
        "    ------------------------------\n",
        "    working_df: pd.DataFrame\n",
        "    \"\"\"\n",
        "    working_df['WEIGHT'] = working_df['WEIGHT'].astype(float) \n",
        "    working_df['WEIGHT'] *= float(0.453592) # convert weight value from lb to kg\n",
        "    working_df['WEIGHT'] = np.floor(working_df['WEIGHT'])\n",
        "    working_df['WEIGHT'] = working_df['WEIGHT'].astype(int)\n",
        "\n",
        "    return working_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 92,
      "id": "34ea64a1-1269-48f1-a76a-492c9e9f8adb",
      "metadata": {
        "id": "34ea64a1-1269-48f1-a76a-492c9e9f8adb"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\4200082685.py:4: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  working_df['WEIGHT'] = working_df['WEIGHT'].astype(float)\n",
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\4200082685.py:5: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  working_df['WEIGHT']  *= float(0.453592) # convert weight value from lb to kg\n",
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\4200082685.py:6: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  working_df['WEIGHT'] = np.floor(working_df['WEIGHT'])\n",
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\4200082685.py:7: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  working_df['WEIGHT'] = working_df['WEIGHT'].astype(int)\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>PLAYER_NAME</th>\n",
              "      <th>TEAM_NAME</th>\n",
              "      <th>POSITION</th>\n",
              "      <th>HEIGHT</th>\n",
              "      <th>WEIGHT</th>\n",
              "      <th>COUNTRY</th>\n",
              "      <th>BIRTHDATE</th>\n",
              "      <th>SEASON_EXP</th>\n",
              "      <th>DRAFT_NUMBER</th>\n",
              "      <th>GP</th>\n",
              "      <th>MIN</th>\n",
              "      <th>PTS</th>\n",
              "      <th>REB</th>\n",
              "      <th>AST</th>\n",
              "      <th>STL</th>\n",
              "      <th>BLK</th>\n",
              "      <th>SALARY</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Precious Achiuwa</td>\n",
              "      <td>Raptors</td>\n",
              "      <td>Forward</td>\n",
              "      <td>203</td>\n",
              "      <td>102</td>\n",
              "      <td>Nigeria</td>\n",
              "      <td>1999-09-19</td>\n",
              "      <td>2</td>\n",
              "      <td>20</td>\n",
              "      <td>134</td>\n",
              "      <td>18.4</td>\n",
              "      <td>7.2</td>\n",
              "      <td>5.1</td>\n",
              "      <td>0.8</td>\n",
              "      <td>0.4</td>\n",
              "      <td>0.5</td>\n",
              "      <td>2711280</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Steven Adams</td>\n",
              "      <td>Grizzlies</td>\n",
              "      <td>Center</td>\n",
              "      <td>211</td>\n",
              "      <td>120</td>\n",
              "      <td>New Zealand</td>\n",
              "      <td>1993-07-20</td>\n",
              "      <td>9</td>\n",
              "      <td>12</td>\n",
              "      <td>664</td>\n",
              "      <td>26.8</td>\n",
              "      <td>9.3</td>\n",
              "      <td>8.0</td>\n",
              "      <td>1.5</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.9</td>\n",
              "      <td>17073171</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Bam Adebayo</td>\n",
              "      <td>Heat</td>\n",
              "      <td>Center-Forward</td>\n",
              "      <td>206</td>\n",
              "      <td>115</td>\n",
              "      <td>USA</td>\n",
              "      <td>1997-07-18</td>\n",
              "      <td>5</td>\n",
              "      <td>14</td>\n",
              "      <td>343</td>\n",
              "      <td>28.2</td>\n",
              "      <td>13.5</td>\n",
              "      <td>8.3</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.9</td>\n",
              "      <td>28103550</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Santi Aldama</td>\n",
              "      <td>Grizzlies</td>\n",
              "      <td>Forward-Center</td>\n",
              "      <td>211</td>\n",
              "      <td>97</td>\n",
              "      <td>Spain</td>\n",
              "      <td>2001-01-10</td>\n",
              "      <td>1</td>\n",
              "      <td>30</td>\n",
              "      <td>32</td>\n",
              "      <td>11.2</td>\n",
              "      <td>4.1</td>\n",
              "      <td>2.7</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.3</td>\n",
              "      <td>1994520</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>LaMarcus Aldridge</td>\n",
              "      <td>Nets</td>\n",
              "      <td>Center-Forward</td>\n",
              "      <td>211</td>\n",
              "      <td>113</td>\n",
              "      <td>USA</td>\n",
              "      <td>1985-07-19</td>\n",
              "      <td>16</td>\n",
              "      <td>2</td>\n",
              "      <td>1076</td>\n",
              "      <td>33.7</td>\n",
              "      <td>19.1</td>\n",
              "      <td>8.1</td>\n",
              "      <td>1.9</td>\n",
              "      <td>0.7</td>\n",
              "      <td>1.1</td>\n",
              "      <td>2641691</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>495</th>\n",
              "      <td>Delon Wright</td>\n",
              "      <td>Wizards</td>\n",
              "      <td>Guard</td>\n",
              "      <td>196</td>\n",
              "      <td>83</td>\n",
              "      <td>USA</td>\n",
              "      <td>1992-04-26</td>\n",
              "      <td>7</td>\n",
              "      <td>20</td>\n",
              "      <td>411</td>\n",
              "      <td>20.9</td>\n",
              "      <td>7.2</td>\n",
              "      <td>3.2</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.2</td>\n",
              "      <td>0.4</td>\n",
              "      <td>8526316</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>499</th>\n",
              "      <td>Thaddeus Young</td>\n",
              "      <td>Raptors</td>\n",
              "      <td>Forward</td>\n",
              "      <td>203</td>\n",
              "      <td>106</td>\n",
              "      <td>USA</td>\n",
              "      <td>1988-06-21</td>\n",
              "      <td>15</td>\n",
              "      <td>12</td>\n",
              "      <td>1085</td>\n",
              "      <td>29.3</td>\n",
              "      <td>12.8</td>\n",
              "      <td>5.8</td>\n",
              "      <td>1.8</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.4</td>\n",
              "      <td>14190000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>500</th>\n",
              "      <td>Trae Young</td>\n",
              "      <td>Hawks</td>\n",
              "      <td>Guard</td>\n",
              "      <td>186</td>\n",
              "      <td>74</td>\n",
              "      <td>USA</td>\n",
              "      <td>1998-09-19</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>280</td>\n",
              "      <td>33.6</td>\n",
              "      <td>25.3</td>\n",
              "      <td>3.9</td>\n",
              "      <td>9.1</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.2</td>\n",
              "      <td>8326471</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>501</th>\n",
              "      <td>Omer Yurtseven</td>\n",
              "      <td>Heat</td>\n",
              "      <td>Center</td>\n",
              "      <td>211</td>\n",
              "      <td>124</td>\n",
              "      <td>Turkey</td>\n",
              "      <td>1998-06-19</td>\n",
              "      <td>1</td>\n",
              "      <td>Undrafted</td>\n",
              "      <td>56</td>\n",
              "      <td>12.6</td>\n",
              "      <td>5.3</td>\n",
              "      <td>5.3</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.4</td>\n",
              "      <td>1489065</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>502</th>\n",
              "      <td>Ivica Zubac</td>\n",
              "      <td>Clippers</td>\n",
              "      <td>Center</td>\n",
              "      <td>214</td>\n",
              "      <td>108</td>\n",
              "      <td>Croatia</td>\n",
              "      <td>1997-03-18</td>\n",
              "      <td>6</td>\n",
              "      <td>32</td>\n",
              "      <td>360</td>\n",
              "      <td>19.0</td>\n",
              "      <td>8.3</td>\n",
              "      <td>6.5</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.8</td>\n",
              "      <td>7518518</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>428 rows × 17 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           PLAYER_NAME  TEAM_NAME        POSITION  HEIGHT  WEIGHT  \\\n",
              "0     Precious Achiuwa    Raptors         Forward     203     102   \n",
              "1         Steven Adams  Grizzlies          Center     211     120   \n",
              "2          Bam Adebayo       Heat  Center-Forward     206     115   \n",
              "3         Santi Aldama  Grizzlies  Forward-Center     211      97   \n",
              "4    LaMarcus Aldridge       Nets  Center-Forward     211     113   \n",
              "..                 ...        ...             ...     ...     ...   \n",
              "495       Delon Wright    Wizards           Guard     196      83   \n",
              "499     Thaddeus Young    Raptors         Forward     203     106   \n",
              "500         Trae Young      Hawks           Guard     186      74   \n",
              "501     Omer Yurtseven       Heat          Center     211     124   \n",
              "502        Ivica Zubac   Clippers          Center     214     108   \n",
              "\n",
              "         COUNTRY  BIRTHDATE  SEASON_EXP DRAFT_NUMBER    GP   MIN   PTS  REB  \\\n",
              "0        Nigeria 1999-09-19           2           20   134  18.4   7.2  5.1   \n",
              "1    New Zealand 1993-07-20           9           12   664  26.8   9.3  8.0   \n",
              "2            USA 1997-07-18           5           14   343  28.2  13.5  8.3   \n",
              "3          Spain 2001-01-10           1           30    32  11.2   4.1  2.7   \n",
              "4            USA 1985-07-19          16            2  1076  33.7  19.1  8.1   \n",
              "..           ...        ...         ...          ...   ...   ...   ...  ...   \n",
              "495          USA 1992-04-26           7           20   411  20.9   7.2  3.2   \n",
              "499          USA 1988-06-21          15           12  1085  29.3  12.8  5.8   \n",
              "500          USA 1998-09-19           4            5   280  33.6  25.3  3.9   \n",
              "501       Turkey 1998-06-19           1    Undrafted    56  12.6   5.3  5.3   \n",
              "502      Croatia 1997-03-18           6           32   360  19.0   8.3  6.5   \n",
              "\n",
              "     AST  STL  BLK    SALARY  \n",
              "0    0.8  0.4  0.5   2711280  \n",
              "1    1.5  0.9  0.9  17073171  \n",
              "2    3.5  1.0  0.9  28103550  \n",
              "3    0.7  0.2  0.3   1994520  \n",
              "4    1.9  0.7  1.1   2641691  \n",
              "..   ...  ...  ...       ...  \n",
              "495  3.0  1.2  0.4   8526316  \n",
              "499  1.8  1.4  0.4  14190000  \n",
              "500  9.1  0.9  0.2   8326471  \n",
              "501  0.9  0.3  0.4   1489065  \n",
              "502  1.1  0.3  0.8   7518518  \n",
              "\n",
              "[428 rows x 17 columns]"
            ]
          },
          "execution_count": 92,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "convert_weight_column(working_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 94,
      "id": "1f7ec1c5-2820-4660-8c93-1a2ad44e3bb0",
      "metadata": {
        "id": "1f7ec1c5-2820-4660-8c93-1a2ad44e3bb0"
      },
      "outputs": [],
      "source": [
        "def add_age_column(working_df: pd.DataFrame) -> pd.DataFrame:\n",
        "    \"\"\"\n",
        "    Function that calculates the age in (years, months, days) and saves it in a new string column named \"AGE\", example: \"22 years, 5 months, 25 days\".\n",
        "\n",
        "    Parameters\n",
        "    ------------------------------\n",
        "    working_df: pd.DataFrame\n",
        "\n",
        "    Return\n",
        "    ------------------------------\n",
        "    working_df: pd.DataFrame\n",
        "    \"\"\"\n",
        "    \n",
        "    working_df.sort_values(by='PLAYER_NAME', inplace=True) # order values by player_name\n",
        "    \n",
        "    now = datetime.now() \n",
        "\n",
        "    list_of_ages = [] \n",
        "\n",
        "    for dates in working_df['BIRTHDATE']: # iterate over birthdates\n",
        "\n",
        "        year = int(dates.strftime('%Y-%m-%d').split('-')[0]) # set the string format time, split and pick the first(year)/second(month)/third(day)\n",
        "        #year_to_date = pd.to_datetime(year, format='%Y')\n",
        "        #delta_years = relativedelta.relativedelta(now,year_to_date)\n",
        "\n",
        "        month = int(dates.strftime('%Y-%m-%d').split('-')[1])\n",
        "        #month_to_date = pd.to_datetime(month, format='%m')\n",
        "        #delta_months = relativedelta.relativedelta(now,month_to_date)\n",
        "\n",
        "        days = int(dates.strftime('%Y-%m-%d').split('-')[2])\n",
        "        #days_to_date =  pd.to_datetime(days, format='%d')\n",
        "        #delta_days = relativedelta.relativedelta(now,days_to_date)\n",
        "        \n",
        "        age = date(year,month,days) # set the brithdate in the correct form for each player\n",
        "\n",
        "        delta = relativedelta.relativedelta(now,age) # now minus birthdate\n",
        "\n",
        "        to_string = str(f'{delta.years} years, {delta.months} months, {delta.days} days')\n",
        "        list_of_ages.append(to_string) # append results to the list\n",
        "\n",
        "        # https://www.interviewqs.com/ddi-code-snippets/extract-month-year-pandas alternative solution for this\n",
        "\n",
        "\n",
        "    to_series = pd.Series(list_of_ages) # create a series to the list\n",
        "    working_df['AGE'] = to_series.values # create a new column and put the data from the series in it\n",
        "    \n",
        "    return working_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 95,
      "id": "7796ed0f-4711-442b-865e-d8b09be3e227",
      "metadata": {
        "id": "7796ed0f-4711-442b-865e-d8b09be3e227"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\3636322755.py:9: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  working_df.sort_values(by='PLAYER_NAME', inplace=True) # order values by player_name\n",
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\3636322755.py:40: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  working_df['AGE'] = to_series.values # create a new column and put the data from the series in it\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>PLAYER_NAME</th>\n",
              "      <th>TEAM_NAME</th>\n",
              "      <th>POSITION</th>\n",
              "      <th>HEIGHT</th>\n",
              "      <th>WEIGHT</th>\n",
              "      <th>COUNTRY</th>\n",
              "      <th>BIRTHDATE</th>\n",
              "      <th>SEASON_EXP</th>\n",
              "      <th>DRAFT_NUMBER</th>\n",
              "      <th>GP</th>\n",
              "      <th>MIN</th>\n",
              "      <th>PTS</th>\n",
              "      <th>REB</th>\n",
              "      <th>AST</th>\n",
              "      <th>STL</th>\n",
              "      <th>BLK</th>\n",
              "      <th>SALARY</th>\n",
              "      <th>AGE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>160</th>\n",
              "      <td>Aaron Gordon</td>\n",
              "      <td>Nuggets</td>\n",
              "      <td>Forward</td>\n",
              "      <td>203</td>\n",
              "      <td>106</td>\n",
              "      <td>USA</td>\n",
              "      <td>1995-09-16</td>\n",
              "      <td>8</td>\n",
              "      <td>4</td>\n",
              "      <td>528</td>\n",
              "      <td>28.9</td>\n",
              "      <td>13.0</td>\n",
              "      <td>6.3</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.6</td>\n",
              "      <td>16409091</td>\n",
              "      <td>26 years, 10 months, 26 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>199</th>\n",
              "      <td>Aaron Holiday</td>\n",
              "      <td>Hawks</td>\n",
              "      <td>Guard</td>\n",
              "      <td>183</td>\n",
              "      <td>83</td>\n",
              "      <td>USA</td>\n",
              "      <td>1996-09-30</td>\n",
              "      <td>4</td>\n",
              "      <td>23</td>\n",
              "      <td>245</td>\n",
              "      <td>18.2</td>\n",
              "      <td>7.3</td>\n",
              "      <td>1.8</td>\n",
              "      <td>2.4</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.2</td>\n",
              "      <td>3980551</td>\n",
              "      <td>25 years, 10 months, 12 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>333</th>\n",
              "      <td>Aaron Nesmith</td>\n",
              "      <td>Pacers</td>\n",
              "      <td>Guard-Forward</td>\n",
              "      <td>196</td>\n",
              "      <td>97</td>\n",
              "      <td>USA</td>\n",
              "      <td>1999-10-16</td>\n",
              "      <td>2</td>\n",
              "      <td>14</td>\n",
              "      <td>98</td>\n",
              "      <td>12.7</td>\n",
              "      <td>4.2</td>\n",
              "      <td>2.2</td>\n",
              "      <td>0.5</td>\n",
              "      <td>0.4</td>\n",
              "      <td>0.1</td>\n",
              "      <td>3631200</td>\n",
              "      <td>22 years, 9 months, 26 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>478</th>\n",
              "      <td>Aaron Wiggins</td>\n",
              "      <td>Thunder</td>\n",
              "      <td>Guard</td>\n",
              "      <td>193</td>\n",
              "      <td>86</td>\n",
              "      <td>USA</td>\n",
              "      <td>1999-01-02</td>\n",
              "      <td>1</td>\n",
              "      <td>55</td>\n",
              "      <td>50</td>\n",
              "      <td>24.2</td>\n",
              "      <td>8.3</td>\n",
              "      <td>3.6</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.6</td>\n",
              "      <td>0.2</td>\n",
              "      <td>1000000</td>\n",
              "      <td>23 years, 7 months, 9 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>204</th>\n",
              "      <td>Al Horford</td>\n",
              "      <td>Celtics</td>\n",
              "      <td>Center-Forward</td>\n",
              "      <td>206</td>\n",
              "      <td>108</td>\n",
              "      <td>Dominican Republic</td>\n",
              "      <td>1986-06-03</td>\n",
              "      <td>15</td>\n",
              "      <td>3</td>\n",
              "      <td>950</td>\n",
              "      <td>32.2</td>\n",
              "      <td>13.7</td>\n",
              "      <td>8.2</td>\n",
              "      <td>3.3</td>\n",
              "      <td>0.8</td>\n",
              "      <td>1.2</td>\n",
              "      <td>27000000</td>\n",
              "      <td>36 years, 2 months, 8 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>Zach Collins</td>\n",
              "      <td>Spurs</td>\n",
              "      <td>Forward-Center</td>\n",
              "      <td>211</td>\n",
              "      <td>113</td>\n",
              "      <td>USA</td>\n",
              "      <td>1997-11-19</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>182</td>\n",
              "      <td>17.5</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.2</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.7</td>\n",
              "      <td>6984127</td>\n",
              "      <td>24 years, 8 months, 23 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>257</th>\n",
              "      <td>Zach LaVine</td>\n",
              "      <td>Bulls</td>\n",
              "      <td>Guard-Forward</td>\n",
              "      <td>196</td>\n",
              "      <td>90</td>\n",
              "      <td>USA</td>\n",
              "      <td>1995-03-10</td>\n",
              "      <td>8</td>\n",
              "      <td>13</td>\n",
              "      <td>478</td>\n",
              "      <td>31.8</td>\n",
              "      <td>19.8</td>\n",
              "      <td>3.9</td>\n",
              "      <td>3.9</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.3</td>\n",
              "      <td>19500000</td>\n",
              "      <td>27 years, 5 months, 1 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>337</th>\n",
              "      <td>Zeke Nnaji</td>\n",
              "      <td>Nuggets</td>\n",
              "      <td>Forward-Center</td>\n",
              "      <td>206</td>\n",
              "      <td>108</td>\n",
              "      <td>USA</td>\n",
              "      <td>2001-01-09</td>\n",
              "      <td>2</td>\n",
              "      <td>22</td>\n",
              "      <td>83</td>\n",
              "      <td>13.2</td>\n",
              "      <td>4.9</td>\n",
              "      <td>2.6</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.2</td>\n",
              "      <td>2498760</td>\n",
              "      <td>21 years, 7 months, 2 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>486</th>\n",
              "      <td>Ziaire Williams</td>\n",
              "      <td>Grizzlies</td>\n",
              "      <td>Forward</td>\n",
              "      <td>206</td>\n",
              "      <td>83</td>\n",
              "      <td>USA</td>\n",
              "      <td>2001-09-12</td>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>62</td>\n",
              "      <td>21.7</td>\n",
              "      <td>8.1</td>\n",
              "      <td>2.1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.6</td>\n",
              "      <td>0.2</td>\n",
              "      <td>4373160</td>\n",
              "      <td>20 years, 10 months, 30 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>488</th>\n",
              "      <td>Zion Williamson</td>\n",
              "      <td>Pelicans</td>\n",
              "      <td>Forward</td>\n",
              "      <td>198</td>\n",
              "      <td>128</td>\n",
              "      <td>USA</td>\n",
              "      <td>2000-07-06</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>85</td>\n",
              "      <td>31.7</td>\n",
              "      <td>25.7</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.2</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.6</td>\n",
              "      <td>10733400</td>\n",
              "      <td>22 years, 1 months, 5 days</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>428 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "         PLAYER_NAME  TEAM_NAME        POSITION  HEIGHT  WEIGHT  \\\n",
              "160     Aaron Gordon    Nuggets         Forward     203     106   \n",
              "199    Aaron Holiday      Hawks           Guard     183      83   \n",
              "333    Aaron Nesmith     Pacers   Guard-Forward     196      97   \n",
              "478    Aaron Wiggins    Thunder           Guard     193      86   \n",
              "204       Al Horford    Celtics  Center-Forward     206     108   \n",
              "..               ...        ...             ...     ...     ...   \n",
              "99      Zach Collins      Spurs  Forward-Center     211     113   \n",
              "257      Zach LaVine      Bulls   Guard-Forward     196      90   \n",
              "337       Zeke Nnaji    Nuggets  Forward-Center     206     108   \n",
              "486  Ziaire Williams  Grizzlies         Forward     206      83   \n",
              "488  Zion Williamson   Pelicans         Forward     198     128   \n",
              "\n",
              "                COUNTRY  BIRTHDATE  SEASON_EXP DRAFT_NUMBER   GP   MIN   PTS  \\\n",
              "160                 USA 1995-09-16           8            4  528  28.9  13.0   \n",
              "199                 USA 1996-09-30           4           23  245  18.2   7.3   \n",
              "333                 USA 1999-10-16           2           14   98  12.7   4.2   \n",
              "478                 USA 1999-01-02           1           55   50  24.2   8.3   \n",
              "204  Dominican Republic 1986-06-03          15            3  950  32.2  13.7   \n",
              "..                  ...        ...         ...          ...  ...   ...   ...   \n",
              "99                  USA 1997-11-19           4           10  182  17.5   6.0   \n",
              "257                 USA 1995-03-10           8           13  478  31.8  19.8   \n",
              "337                 USA 2001-01-09           2           22   83  13.2   4.9   \n",
              "486                 USA 2001-09-12           1           10   62  21.7   8.1   \n",
              "488                 USA 2000-07-06           2            1   85  31.7  25.7   \n",
              "\n",
              "     REB  AST  STL  BLK    SALARY                           AGE  \n",
              "160  6.3  2.5  0.7  0.6  16409091  26 years, 10 months, 26 days  \n",
              "199  1.8  2.4  0.7  0.2   3980551  25 years, 10 months, 12 days  \n",
              "333  2.2  0.5  0.4  0.1   3631200   22 years, 9 months, 26 days  \n",
              "478  3.6  1.4  0.6  0.2   1000000    23 years, 7 months, 9 days  \n",
              "204  8.2  3.3  0.8  1.2  27000000    36 years, 2 months, 8 days  \n",
              "..   ...  ...  ...  ...       ...                           ...  \n",
              "99   4.2  1.1  0.3  0.7   6984127   24 years, 8 months, 23 days  \n",
              "257  3.9  3.9  0.9  0.3  19500000    27 years, 5 months, 1 days  \n",
              "337  2.6  0.3  0.3  0.2   2498760    21 years, 7 months, 2 days  \n",
              "486  2.1  1.0  0.6  0.2   4373160  20 years, 10 months, 30 days  \n",
              "488  7.0  3.2  0.9  0.6  10733400    22 years, 1 months, 5 days  \n",
              "\n",
              "[428 rows x 18 columns]"
            ]
          },
          "execution_count": 95,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "add_age_column(working_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 96,
      "id": "b32acf08-6ffa-4dae-9cfb-8ff783b6ce5b",
      "metadata": {
        "id": "b32acf08-6ffa-4dae-9cfb-8ff783b6ce5b"
      },
      "outputs": [],
      "source": [
        "def update_position(working_df):\n",
        "    \"\"\"\n",
        "    Function that takes care of the disambiguation of the \"POSITION\" column. Should replace all positions that are mixed with the first one listed.\n",
        "\n",
        "    Parameters\n",
        "    ------------------------------\n",
        "    working_df: pd.DataFrame\n",
        "\n",
        "    Return\n",
        "    ------------------------------\n",
        "    working_df: pd.DataFrame\n",
        "    \"\"\"\n",
        "\n",
        "    working_df['POSITION'] = working_df['POSITION'].apply(lambda x: x.split('-')[0])\n",
        "\n",
        "    return working_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 97,
      "id": "6bdc5317-86cd-48ad-96ca-945f8f493bef",
      "metadata": {
        "id": "6bdc5317-86cd-48ad-96ca-945f8f493bef"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\4234694915.py:4: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  working_df['POSITION'] = working_df['POSITION'].apply(lambda x: x.split('-')[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",
              "    }\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>PLAYER_NAME</th>\n",
              "      <th>TEAM_NAME</th>\n",
              "      <th>POSITION</th>\n",
              "      <th>HEIGHT</th>\n",
              "      <th>WEIGHT</th>\n",
              "      <th>COUNTRY</th>\n",
              "      <th>BIRTHDATE</th>\n",
              "      <th>SEASON_EXP</th>\n",
              "      <th>DRAFT_NUMBER</th>\n",
              "      <th>GP</th>\n",
              "      <th>MIN</th>\n",
              "      <th>PTS</th>\n",
              "      <th>REB</th>\n",
              "      <th>AST</th>\n",
              "      <th>STL</th>\n",
              "      <th>BLK</th>\n",
              "      <th>SALARY</th>\n",
              "      <th>AGE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>160</th>\n",
              "      <td>Aaron Gordon</td>\n",
              "      <td>Nuggets</td>\n",
              "      <td>Forward</td>\n",
              "      <td>203</td>\n",
              "      <td>106</td>\n",
              "      <td>USA</td>\n",
              "      <td>1995-09-16</td>\n",
              "      <td>8</td>\n",
              "      <td>4</td>\n",
              "      <td>528</td>\n",
              "      <td>28.9</td>\n",
              "      <td>13.0</td>\n",
              "      <td>6.3</td>\n",
              "      <td>2.5</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.6</td>\n",
              "      <td>16409091</td>\n",
              "      <td>26 years, 10 months, 26 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>199</th>\n",
              "      <td>Aaron Holiday</td>\n",
              "      <td>Hawks</td>\n",
              "      <td>Guard</td>\n",
              "      <td>183</td>\n",
              "      <td>83</td>\n",
              "      <td>USA</td>\n",
              "      <td>1996-09-30</td>\n",
              "      <td>4</td>\n",
              "      <td>23</td>\n",
              "      <td>245</td>\n",
              "      <td>18.2</td>\n",
              "      <td>7.3</td>\n",
              "      <td>1.8</td>\n",
              "      <td>2.4</td>\n",
              "      <td>0.7</td>\n",
              "      <td>0.2</td>\n",
              "      <td>3980551</td>\n",
              "      <td>25 years, 10 months, 12 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>333</th>\n",
              "      <td>Aaron Nesmith</td>\n",
              "      <td>Pacers</td>\n",
              "      <td>Guard</td>\n",
              "      <td>196</td>\n",
              "      <td>97</td>\n",
              "      <td>USA</td>\n",
              "      <td>1999-10-16</td>\n",
              "      <td>2</td>\n",
              "      <td>14</td>\n",
              "      <td>98</td>\n",
              "      <td>12.7</td>\n",
              "      <td>4.2</td>\n",
              "      <td>2.2</td>\n",
              "      <td>0.5</td>\n",
              "      <td>0.4</td>\n",
              "      <td>0.1</td>\n",
              "      <td>3631200</td>\n",
              "      <td>22 years, 9 months, 26 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>478</th>\n",
              "      <td>Aaron Wiggins</td>\n",
              "      <td>Thunder</td>\n",
              "      <td>Guard</td>\n",
              "      <td>193</td>\n",
              "      <td>86</td>\n",
              "      <td>USA</td>\n",
              "      <td>1999-01-02</td>\n",
              "      <td>1</td>\n",
              "      <td>55</td>\n",
              "      <td>50</td>\n",
              "      <td>24.2</td>\n",
              "      <td>8.3</td>\n",
              "      <td>3.6</td>\n",
              "      <td>1.4</td>\n",
              "      <td>0.6</td>\n",
              "      <td>0.2</td>\n",
              "      <td>1000000</td>\n",
              "      <td>23 years, 7 months, 9 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>204</th>\n",
              "      <td>Al Horford</td>\n",
              "      <td>Celtics</td>\n",
              "      <td>Center</td>\n",
              "      <td>206</td>\n",
              "      <td>108</td>\n",
              "      <td>Dominican Republic</td>\n",
              "      <td>1986-06-03</td>\n",
              "      <td>15</td>\n",
              "      <td>3</td>\n",
              "      <td>950</td>\n",
              "      <td>32.2</td>\n",
              "      <td>13.7</td>\n",
              "      <td>8.2</td>\n",
              "      <td>3.3</td>\n",
              "      <td>0.8</td>\n",
              "      <td>1.2</td>\n",
              "      <td>27000000</td>\n",
              "      <td>36 years, 2 months, 8 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>99</th>\n",
              "      <td>Zach Collins</td>\n",
              "      <td>Spurs</td>\n",
              "      <td>Forward</td>\n",
              "      <td>211</td>\n",
              "      <td>113</td>\n",
              "      <td>USA</td>\n",
              "      <td>1997-11-19</td>\n",
              "      <td>4</td>\n",
              "      <td>10</td>\n",
              "      <td>182</td>\n",
              "      <td>17.5</td>\n",
              "      <td>6.0</td>\n",
              "      <td>4.2</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.7</td>\n",
              "      <td>6984127</td>\n",
              "      <td>24 years, 8 months, 23 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>257</th>\n",
              "      <td>Zach LaVine</td>\n",
              "      <td>Bulls</td>\n",
              "      <td>Guard</td>\n",
              "      <td>196</td>\n",
              "      <td>90</td>\n",
              "      <td>USA</td>\n",
              "      <td>1995-03-10</td>\n",
              "      <td>8</td>\n",
              "      <td>13</td>\n",
              "      <td>478</td>\n",
              "      <td>31.8</td>\n",
              "      <td>19.8</td>\n",
              "      <td>3.9</td>\n",
              "      <td>3.9</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.3</td>\n",
              "      <td>19500000</td>\n",
              "      <td>27 years, 5 months, 1 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>337</th>\n",
              "      <td>Zeke Nnaji</td>\n",
              "      <td>Nuggets</td>\n",
              "      <td>Forward</td>\n",
              "      <td>206</td>\n",
              "      <td>108</td>\n",
              "      <td>USA</td>\n",
              "      <td>2001-01-09</td>\n",
              "      <td>2</td>\n",
              "      <td>22</td>\n",
              "      <td>83</td>\n",
              "      <td>13.2</td>\n",
              "      <td>4.9</td>\n",
              "      <td>2.6</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.2</td>\n",
              "      <td>2498760</td>\n",
              "      <td>21 years, 7 months, 2 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>486</th>\n",
              "      <td>Ziaire Williams</td>\n",
              "      <td>Grizzlies</td>\n",
              "      <td>Forward</td>\n",
              "      <td>206</td>\n",
              "      <td>83</td>\n",
              "      <td>USA</td>\n",
              "      <td>2001-09-12</td>\n",
              "      <td>1</td>\n",
              "      <td>10</td>\n",
              "      <td>62</td>\n",
              "      <td>21.7</td>\n",
              "      <td>8.1</td>\n",
              "      <td>2.1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.6</td>\n",
              "      <td>0.2</td>\n",
              "      <td>4373160</td>\n",
              "      <td>20 years, 10 months, 30 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>488</th>\n",
              "      <td>Zion Williamson</td>\n",
              "      <td>Pelicans</td>\n",
              "      <td>Forward</td>\n",
              "      <td>198</td>\n",
              "      <td>128</td>\n",
              "      <td>USA</td>\n",
              "      <td>2000-07-06</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>85</td>\n",
              "      <td>31.7</td>\n",
              "      <td>25.7</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3.2</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.6</td>\n",
              "      <td>10733400</td>\n",
              "      <td>22 years, 1 months, 5 days</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>428 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "         PLAYER_NAME  TEAM_NAME POSITION  HEIGHT  WEIGHT             COUNTRY  \\\n",
              "160     Aaron Gordon    Nuggets  Forward     203     106                 USA   \n",
              "199    Aaron Holiday      Hawks    Guard     183      83                 USA   \n",
              "333    Aaron Nesmith     Pacers    Guard     196      97                 USA   \n",
              "478    Aaron Wiggins    Thunder    Guard     193      86                 USA   \n",
              "204       Al Horford    Celtics   Center     206     108  Dominican Republic   \n",
              "..               ...        ...      ...     ...     ...                 ...   \n",
              "99      Zach Collins      Spurs  Forward     211     113                 USA   \n",
              "257      Zach LaVine      Bulls    Guard     196      90                 USA   \n",
              "337       Zeke Nnaji    Nuggets  Forward     206     108                 USA   \n",
              "486  Ziaire Williams  Grizzlies  Forward     206      83                 USA   \n",
              "488  Zion Williamson   Pelicans  Forward     198     128                 USA   \n",
              "\n",
              "     BIRTHDATE  SEASON_EXP DRAFT_NUMBER   GP   MIN   PTS  REB  AST  STL  BLK  \\\n",
              "160 1995-09-16           8            4  528  28.9  13.0  6.3  2.5  0.7  0.6   \n",
              "199 1996-09-30           4           23  245  18.2   7.3  1.8  2.4  0.7  0.2   \n",
              "333 1999-10-16           2           14   98  12.7   4.2  2.2  0.5  0.4  0.1   \n",
              "478 1999-01-02           1           55   50  24.2   8.3  3.6  1.4  0.6  0.2   \n",
              "204 1986-06-03          15            3  950  32.2  13.7  8.2  3.3  0.8  1.2   \n",
              "..         ...         ...          ...  ...   ...   ...  ...  ...  ...  ...   \n",
              "99  1997-11-19           4           10  182  17.5   6.0  4.2  1.1  0.3  0.7   \n",
              "257 1995-03-10           8           13  478  31.8  19.8  3.9  3.9  0.9  0.3   \n",
              "337 2001-01-09           2           22   83  13.2   4.9  2.6  0.3  0.3  0.2   \n",
              "486 2001-09-12           1           10   62  21.7   8.1  2.1  1.0  0.6  0.2   \n",
              "488 2000-07-06           2            1   85  31.7  25.7  7.0  3.2  0.9  0.6   \n",
              "\n",
              "       SALARY                           AGE  \n",
              "160  16409091  26 years, 10 months, 26 days  \n",
              "199   3980551  25 years, 10 months, 12 days  \n",
              "333   3631200   22 years, 9 months, 26 days  \n",
              "478   1000000    23 years, 7 months, 9 days  \n",
              "204  27000000    36 years, 2 months, 8 days  \n",
              "..        ...                           ...  \n",
              "99    6984127   24 years, 8 months, 23 days  \n",
              "257  19500000    27 years, 5 months, 1 days  \n",
              "337   2498760    21 years, 7 months, 2 days  \n",
              "486   4373160  20 years, 10 months, 30 days  \n",
              "488  10733400    22 years, 1 months, 5 days  \n",
              "\n",
              "[428 rows x 18 columns]"
            ]
          },
          "execution_count": 97,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "update_position(working_df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 99,
      "id": "7b423e20-c9f6-449a-8d8a-497bd464811d",
      "metadata": {
        "id": "7b423e20-c9f6-449a-8d8a-497bd464811d"
      },
      "outputs": [],
      "source": [
        "working_df.to_csv(\"nba_players_processed_dataset.csv\")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "6e794f61-3cc8-4899-a999-858a3cf0b959",
      "metadata": {
        "id": "6e794f61-3cc8-4899-a999-858a3cf0b959"
      },
      "source": [
        "### 3. Analyzing and Visualizing data (EDA)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "b3f4a2fc-1f4f-4a18-ad43-fb125317395b",
      "metadata": {
        "id": "b3f4a2fc-1f4f-4a18-ad43-fb125317395b"
      },
      "source": [
        "\n",
        "    - General metrics:\n",
        "        - Total number of players\n",
        "        - Number of USA born players\n",
        "        - Number of foreign players\n",
        "        - Number of players per position\n",
        "        - Number of players per team\n",
        "        - Number of rookies (first year players)\n",
        "    - Players description\n",
        "        - Average player age (in years)\n",
        "        - Youngest player age (as a string, like: \"22 years, 5 months, 25 days\")\n",
        "        - Oldest player age (as a string, like: \"40 years, 2 months, 3 days\")\n",
        "        - Min and Max players height\n",
        "        - Average height of players per position\n",
        "    - Contracts\n",
        "        - Min and Max salary of all players\n",
        "        - Mean and Median salary of all players"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 100,
      "id": "b5f62de4-8ddb-4377-a87c-a3cc655b6321",
      "metadata": {
        "id": "b5f62de4-8ddb-4377-a87c-a3cc655b6321"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "-\u001b[1m General Metrics\n",
            "\n",
            "    -\u001b[1m Total number of players: 428\n",
            "\n",
            "    -\u001b[1m Number of USA born players: 323\n",
            "\n",
            "    -\u001b[1m Number of foreign players: 105\n",
            "\n",
            "    -\u001b[1m Number of players per position:\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>POSITION</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Guard</th>\n",
              "      <td>200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Forward</th>\n",
              "      <td>167</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Center</th>\n",
              "      <td>61</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         POSITION\n",
              "Guard         200\n",
              "Forward       167\n",
              "Center         61"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "    -\u001b[1m Number of players per Team:\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>TEAM_NAME</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Lakers</th>\n",
              "      <td>18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cavaliers</th>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bulls</th>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Rockets</th>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Raptors</th>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76ers</th>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Pistons</th>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Suns</th>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Pelicans</th>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Grizzlies</th>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Trail Blazers</th>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Wizards</th>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nuggets</th>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Hornets</th>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Jazz</th>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bucks</th>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Heat</th>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Timberwolves</th>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nets</th>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Hawks</th>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Magic</th>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Warriors</th>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Kings</th>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Thunder</th>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Spurs</th>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Knicks</th>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Celtics</th>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mavericks</th>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Pacers</th>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Clippers</th>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               TEAM_NAME\n",
              "Lakers                18\n",
              "Cavaliers             17\n",
              "Bulls                 17\n",
              "Rockets               17\n",
              "Raptors               17\n",
              "76ers                 16\n",
              "Pistons               16\n",
              "Suns                  15\n",
              "Pelicans              15\n",
              "Grizzlies             15\n",
              "Trail Blazers         15\n",
              "Wizards               15\n",
              "Nuggets               14\n",
              "Hornets               14\n",
              "Jazz                  14\n",
              "Bucks                 14\n",
              "Heat                  14\n",
              "Timberwolves          14\n",
              "Nets                  13\n",
              "Hawks                 13\n",
              "Magic                 13\n",
              "Warriors              13\n",
              "Kings                 13\n",
              "Thunder               13\n",
              "Spurs                 13\n",
              "Knicks                12\n",
              "Celtics               12\n",
              "Mavericks             12\n",
              "Pacers                12\n",
              "Clippers              12"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "    -\u001b[1m Number of rookies: 266\n"
          ]
        }
      ],
      "source": [
        "print(\"-\\033[1m General Metrics\")\n",
        "print(\"\")\n",
        "print(f\"    -\\033[1m Total number of players: {working_df['PLAYER_NAME'].nunique()}\")\n",
        "print(\"\")\n",
        "print(f\"    -\\033[1m Number of USA born players: {working_df['COUNTRY'][working_df['COUNTRY'] == 'USA'].count()}\")\n",
        "print(\"\")\n",
        "print(f\"    -\\033[1m Number of foreign players: {working_df['COUNTRY'][working_df['COUNTRY'] != 'USA'].count()}\")\n",
        "print(\"\")\n",
        "print(\"    -\\033[1m Number of players per position:\")\n",
        "display(pd.DataFrame(working_df['POSITION'].value_counts()))\n",
        "print(\"    -\\033[1m Number of players per Team:\")\n",
        "display(pd.DataFrame(working_df['TEAM_NAME'].value_counts()))\n",
        "print(f\"    -\\033[1m Number of rookies: {working_df['SEASON_EXP'][working_df['SEASON_EXP'] >= 4].count()}\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 101,
      "id": "660fe44e-b928-4097-999a-2b8f269fa32d",
      "metadata": {
        "id": "660fe44e-b928-4097-999a-2b8f269fa32d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "-\u001b[1m Players description\n",
            "\n",
            "    -\u001b[1m Average player age (in years): 27\n",
            "\n",
            "    -\u001b[1m Youngest player age (as a string): 19 years, 10 months, 1 days\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>PLAYER_NAME</th>\n",
              "      <th>TEAM_NAME</th>\n",
              "      <th>POSITION</th>\n",
              "      <th>HEIGHT</th>\n",
              "      <th>WEIGHT</th>\n",
              "      <th>COUNTRY</th>\n",
              "      <th>BIRTHDATE</th>\n",
              "      <th>SEASON_EXP</th>\n",
              "      <th>DRAFT_NUMBER</th>\n",
              "      <th>GP</th>\n",
              "      <th>MIN</th>\n",
              "      <th>PTS</th>\n",
              "      <th>REB</th>\n",
              "      <th>AST</th>\n",
              "      <th>STL</th>\n",
              "      <th>BLK</th>\n",
              "      <th>SALARY</th>\n",
              "      <th>AGE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>Josh Giddey</td>\n",
              "      <td>Thunder</td>\n",
              "      <td>Guard</td>\n",
              "      <td>203</td>\n",
              "      <td>92</td>\n",
              "      <td>Australia</td>\n",
              "      <td>2002-10-10</td>\n",
              "      <td>1</td>\n",
              "      <td>6</td>\n",
              "      <td>54</td>\n",
              "      <td>31.5</td>\n",
              "      <td>12.5</td>\n",
              "      <td>7.8</td>\n",
              "      <td>6.4</td>\n",
              "      <td>0.9</td>\n",
              "      <td>0.4</td>\n",
              "      <td>5988000</td>\n",
              "      <td>19 years, 10 months, 1 days</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     PLAYER_NAME TEAM_NAME POSITION  HEIGHT  WEIGHT    COUNTRY  BIRTHDATE  \\\n",
              "155  Josh Giddey   Thunder    Guard     203      92  Australia 2002-10-10   \n",
              "\n",
              "     SEASON_EXP DRAFT_NUMBER  GP   MIN   PTS  REB  AST  STL  BLK   SALARY  \\\n",
              "155           1            6  54  31.5  12.5  7.8  6.4  0.9  0.4  5988000   \n",
              "\n",
              "                             AGE  \n",
              "155  19 years, 10 months, 1 days  "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "    -\u001b[1m Oldest player age (as a string): 42 years, 2 months, 2 days\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>PLAYER_NAME</th>\n",
              "      <th>TEAM_NAME</th>\n",
              "      <th>POSITION</th>\n",
              "      <th>HEIGHT</th>\n",
              "      <th>WEIGHT</th>\n",
              "      <th>COUNTRY</th>\n",
              "      <th>BIRTHDATE</th>\n",
              "      <th>SEASON_EXP</th>\n",
              "      <th>DRAFT_NUMBER</th>\n",
              "      <th>GP</th>\n",
              "      <th>MIN</th>\n",
              "      <th>PTS</th>\n",
              "      <th>REB</th>\n",
              "      <th>AST</th>\n",
              "      <th>STL</th>\n",
              "      <th>BLK</th>\n",
              "      <th>SALARY</th>\n",
              "      <th>AGE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>Udonis Haslem</td>\n",
              "      <td>Heat</td>\n",
              "      <td>Forward</td>\n",
              "      <td>203</td>\n",
              "      <td>106</td>\n",
              "      <td>USA</td>\n",
              "      <td>1980-06-09</td>\n",
              "      <td>19</td>\n",
              "      <td>Undrafted</td>\n",
              "      <td>872</td>\n",
              "      <td>24.8</td>\n",
              "      <td>7.5</td>\n",
              "      <td>6.6</td>\n",
              "      <td>0.8</td>\n",
              "      <td>0.5</td>\n",
              "      <td>0.3</td>\n",
              "      <td>2641691</td>\n",
              "      <td>42 years, 2 months, 2 days</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       PLAYER_NAME TEAM_NAME POSITION  HEIGHT  WEIGHT COUNTRY  BIRTHDATE  \\\n",
              "186  Udonis Haslem      Heat  Forward     203     106     USA 1980-06-09   \n",
              "\n",
              "     SEASON_EXP DRAFT_NUMBER   GP   MIN  PTS  REB  AST  STL  BLK   SALARY  \\\n",
              "186          19    Undrafted  872  24.8  7.5  6.6  0.8  0.5  0.3  2641691   \n",
              "\n",
              "                            AGE  \n",
              "186  42 years, 2 months, 2 days  "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "    -\u001b[1m Min and Max players height: Min: 178cm / Max: 221cm\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>PLAYER_NAME</th>\n",
              "      <th>TEAM_NAME</th>\n",
              "      <th>POSITION</th>\n",
              "      <th>HEIGHT</th>\n",
              "      <th>WEIGHT</th>\n",
              "      <th>COUNTRY</th>\n",
              "      <th>BIRTHDATE</th>\n",
              "      <th>SEASON_EXP</th>\n",
              "      <th>DRAFT_NUMBER</th>\n",
              "      <th>GP</th>\n",
              "      <th>MIN</th>\n",
              "      <th>PTS</th>\n",
              "      <th>REB</th>\n",
              "      <th>AST</th>\n",
              "      <th>STL</th>\n",
              "      <th>BLK</th>\n",
              "      <th>SALARY</th>\n",
              "      <th>AGE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>Facundo Campazzo</td>\n",
              "      <td>Nuggets</td>\n",
              "      <td>Guard</td>\n",
              "      <td>178</td>\n",
              "      <td>88</td>\n",
              "      <td>Argentina</td>\n",
              "      <td>1991-03-23</td>\n",
              "      <td>3</td>\n",
              "      <td>Undrafted</td>\n",
              "      <td>130</td>\n",
              "      <td>20.1</td>\n",
              "      <td>5.6</td>\n",
              "      <td>1.9</td>\n",
              "      <td>3.5</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.3</td>\n",
              "      <td>3804150</td>\n",
              "      <td>31 years, 4 months, 19 days</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         PLAYER_NAME TEAM_NAME POSITION  HEIGHT  WEIGHT    COUNTRY  BIRTHDATE  \\\n",
              "81  Facundo Campazzo   Nuggets    Guard     178      88  Argentina 1991-03-23   \n",
              "\n",
              "    SEASON_EXP DRAFT_NUMBER   GP   MIN  PTS  REB  AST  STL  BLK   SALARY  \\\n",
              "81           3    Undrafted  130  20.1  5.6  1.9  3.5  1.1  0.3  3804150   \n",
              "\n",
              "                            AGE  \n",
              "81  31 years, 4 months, 19 days  "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "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>PLAYER_NAME</th>\n",
              "      <th>TEAM_NAME</th>\n",
              "      <th>POSITION</th>\n",
              "      <th>HEIGHT</th>\n",
              "      <th>WEIGHT</th>\n",
              "      <th>COUNTRY</th>\n",
              "      <th>BIRTHDATE</th>\n",
              "      <th>SEASON_EXP</th>\n",
              "      <th>DRAFT_NUMBER</th>\n",
              "      <th>GP</th>\n",
              "      <th>MIN</th>\n",
              "      <th>PTS</th>\n",
              "      <th>REB</th>\n",
              "      <th>AST</th>\n",
              "      <th>STL</th>\n",
              "      <th>BLK</th>\n",
              "      <th>SALARY</th>\n",
              "      <th>AGE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>286</th>\n",
              "      <td>Boban Marjanovic</td>\n",
              "      <td>Rockets</td>\n",
              "      <td>Center</td>\n",
              "      <td>221</td>\n",
              "      <td>131</td>\n",
              "      <td>Serbia</td>\n",
              "      <td>1988-08-15</td>\n",
              "      <td>7</td>\n",
              "      <td>Undrafted</td>\n",
              "      <td>286</td>\n",
              "      <td>9.2</td>\n",
              "      <td>5.9</td>\n",
              "      <td>3.8</td>\n",
              "      <td>0.5</td>\n",
              "      <td>0.2</td>\n",
              "      <td>0.3</td>\n",
              "      <td>3500000</td>\n",
              "      <td>33 years, 11 months, 27 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>370</th>\n",
              "      <td>Kristaps Porzingis</td>\n",
              "      <td>Wizards</td>\n",
              "      <td>Forward</td>\n",
              "      <td>221</td>\n",
              "      <td>108</td>\n",
              "      <td>Latvia</td>\n",
              "      <td>1995-08-02</td>\n",
              "      <td>6</td>\n",
              "      <td>4</td>\n",
              "      <td>337</td>\n",
              "      <td>30.8</td>\n",
              "      <td>18.9</td>\n",
              "      <td>7.9</td>\n",
              "      <td>1.6</td>\n",
              "      <td>0.7</td>\n",
              "      <td>1.9</td>\n",
              "      <td>31650600</td>\n",
              "      <td>27 years, 0 months, 9 days</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "            PLAYER_NAME TEAM_NAME POSITION  HEIGHT  WEIGHT COUNTRY  BIRTHDATE  \\\n",
              "286    Boban Marjanovic   Rockets   Center     221     131  Serbia 1988-08-15   \n",
              "370  Kristaps Porzingis   Wizards  Forward     221     108  Latvia 1995-08-02   \n",
              "\n",
              "     SEASON_EXP DRAFT_NUMBER   GP   MIN   PTS  REB  AST  STL  BLK    SALARY  \\\n",
              "286           7    Undrafted  286   9.2   5.9  3.8  0.5  0.2  0.3   3500000   \n",
              "370           6            4  337  30.8  18.9  7.9  1.6  0.7  1.9  31650600   \n",
              "\n",
              "                              AGE  \n",
              "286  33 years, 11 months, 27 days  \n",
              "370    27 years, 0 months, 9 days  "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "    -\u001b[1m Average height of players per position:\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>HEIGHT</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>POSITION</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Center</th>\n",
              "      <td>211.03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Forward</th>\n",
              "      <td>202.96</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Guard</th>\n",
              "      <td>192.82</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          HEIGHT\n",
              "POSITION        \n",
              "Center    211.03\n",
              "Forward   202.96\n",
              "Guard     192.82"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n"
          ]
        }
      ],
      "source": [
        "print(\"-\\033[1m Players description\")\n",
        "print(\"\")\n",
        "\n",
        "birthdate_mean = working_df['BIRTHDATE'].mean()\n",
        "birthdate_mean_to_dt = int(birthdate_mean.strftime('%Y-%m-%d').split('-')[0])\n",
        "\n",
        "mean_age = date(birthdate_mean_to_dt,1,1)\n",
        "now = datetime.now()\n",
        "mean_age_years = relativedelta(now,mean_age).years\n",
        "\n",
        "print(f\"    -\\033[1m Average player age (in years): {mean_age_years}\")\n",
        "print(\"\")\n",
        "\n",
        "print(f\"    -\\033[1m Youngest player age (as a string): {working_df['AGE'].min()}\")\n",
        "display(working_df[working_df['AGE'] == working_df['AGE'].min()])\n",
        "print(\"\")\n",
        "\n",
        "print(f\"    -\\033[1m Oldest player age (as a string): {working_df['AGE'].max()}\")\n",
        "display(working_df[working_df['AGE'] == working_df['AGE'].max()])\n",
        "print(\"\")\n",
        "\n",
        "print(f\"    -\\033[1m Min and Max players height: Min: {working_df['HEIGHT'].min()}cm / Max: {working_df['HEIGHT'].max()}cm\")\n",
        "display(working_df[working_df['HEIGHT'] == working_df['HEIGHT'].min()])\n",
        "display(working_df[working_df['HEIGHT'] == working_df['HEIGHT'].max()])\n",
        "print(\"\")\n",
        "\n",
        "print(f\"    -\\033[1m Average height of players per position:\")\n",
        "display(pd.DataFrame(round(working_df.groupby(by='POSITION').mean()['HEIGHT'],2)))\n",
        "print(\"\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 102,
      "id": "42c6c5e5-e800-479b-b575-12a578e53400",
      "metadata": {
        "id": "42c6c5e5-e800-479b-b575-12a578e53400"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "-\u001b[1m Contracts\n",
            "\n",
            "    -\u001b[1m Min and Max salary of all players: \n",
            "     Min: $85578 / Max: $45780966\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>PLAYER_NAME</th>\n",
              "      <th>TEAM_NAME</th>\n",
              "      <th>POSITION</th>\n",
              "      <th>HEIGHT</th>\n",
              "      <th>WEIGHT</th>\n",
              "      <th>COUNTRY</th>\n",
              "      <th>BIRTHDATE</th>\n",
              "      <th>SEASON_EXP</th>\n",
              "      <th>DRAFT_NUMBER</th>\n",
              "      <th>GP</th>\n",
              "      <th>MIN</th>\n",
              "      <th>PTS</th>\n",
              "      <th>REB</th>\n",
              "      <th>AST</th>\n",
              "      <th>STL</th>\n",
              "      <th>BLK</th>\n",
              "      <th>SALARY</th>\n",
              "      <th>AGE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>195</th>\n",
              "      <td>Haywood Highsmith</td>\n",
              "      <td>Heat</td>\n",
              "      <td>Forward</td>\n",
              "      <td>193</td>\n",
              "      <td>99</td>\n",
              "      <td>USA</td>\n",
              "      <td>1996-12-09</td>\n",
              "      <td>2</td>\n",
              "      <td>None</td>\n",
              "      <td>24</td>\n",
              "      <td>8.5</td>\n",
              "      <td>2.2</td>\n",
              "      <td>1.3</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.1</td>\n",
              "      <td>0.1</td>\n",
              "      <td>85578</td>\n",
              "      <td>25 years, 8 months, 2 days</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>138</th>\n",
              "      <td>Malik Fitts</td>\n",
              "      <td>Celtics</td>\n",
              "      <td>Forward</td>\n",
              "      <td>196</td>\n",
              "      <td>104</td>\n",
              "      <td>USA</td>\n",
              "      <td>1997-07-04</td>\n",
              "      <td>3</td>\n",
              "      <td>Undrafted</td>\n",
              "      <td>18</td>\n",
              "      <td>4.1</td>\n",
              "      <td>1.3</td>\n",
              "      <td>1.1</td>\n",
              "      <td>0.3</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>85578</td>\n",
              "      <td>25 years, 1 months, 7 days</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           PLAYER_NAME TEAM_NAME POSITION  HEIGHT  WEIGHT COUNTRY  BIRTHDATE  \\\n",
              "195  Haywood Highsmith      Heat  Forward     193      99     USA 1996-12-09   \n",
              "138        Malik Fitts   Celtics  Forward     196     104     USA 1997-07-04   \n",
              "\n",
              "     SEASON_EXP DRAFT_NUMBER  GP  MIN  PTS  REB  AST  STL  BLK  SALARY  \\\n",
              "195           2         None  24  8.5  2.2  1.3  0.3  0.1  0.1   85578   \n",
              "138           3    Undrafted  18  4.1  1.3  1.1  0.3  0.0  0.0   85578   \n",
              "\n",
              "                            AGE  \n",
              "195  25 years, 8 months, 2 days  \n",
              "138  25 years, 1 months, 7 days  "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "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>PLAYER_NAME</th>\n",
              "      <th>TEAM_NAME</th>\n",
              "      <th>POSITION</th>\n",
              "      <th>HEIGHT</th>\n",
              "      <th>WEIGHT</th>\n",
              "      <th>COUNTRY</th>\n",
              "      <th>BIRTHDATE</th>\n",
              "      <th>SEASON_EXP</th>\n",
              "      <th>DRAFT_NUMBER</th>\n",
              "      <th>GP</th>\n",
              "      <th>MIN</th>\n",
              "      <th>PTS</th>\n",
              "      <th>REB</th>\n",
              "      <th>AST</th>\n",
              "      <th>STL</th>\n",
              "      <th>BLK</th>\n",
              "      <th>SALARY</th>\n",
              "      <th>AGE</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>111</th>\n",
              "      <td>Stephen Curry</td>\n",
              "      <td>Warriors</td>\n",
              "      <td>Guard</td>\n",
              "      <td>188</td>\n",
              "      <td>83</td>\n",
              "      <td>USA</td>\n",
              "      <td>1988-03-14</td>\n",
              "      <td>13</td>\n",
              "      <td>7</td>\n",
              "      <td>826</td>\n",
              "      <td>34.3</td>\n",
              "      <td>24.3</td>\n",
              "      <td>4.6</td>\n",
              "      <td>6.5</td>\n",
              "      <td>1.7</td>\n",
              "      <td>0.2</td>\n",
              "      <td>45780966</td>\n",
              "      <td>34 years, 4 months, 28 days</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       PLAYER_NAME TEAM_NAME POSITION  HEIGHT  WEIGHT COUNTRY  BIRTHDATE  \\\n",
              "111  Stephen Curry  Warriors    Guard     188      83     USA 1988-03-14   \n",
              "\n",
              "     SEASON_EXP DRAFT_NUMBER   GP   MIN   PTS  REB  AST  STL  BLK    SALARY  \\\n",
              "111          13            7  826  34.3  24.3  4.6  6.5  1.7  0.2  45780966   \n",
              "\n",
              "                             AGE  \n",
              "111  34 years, 4 months, 28 days  "
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "\n",
            "    -\u001b[1m Mean and Median salary of all players: \n",
            "     Average: $9019999 / Median: $4672995\n"
          ]
        }
      ],
      "source": [
        "print('-\\033[1m Contracts')\n",
        "print(\"\")\n",
        "\n",
        "print(f\"    -\\033[1m Min and Max salary of all players: \\n     Min: ${working_df['SALARY'].min()} / Max: ${working_df['SALARY'].max()}\")\n",
        "display(working_df[working_df['SALARY']== working_df['SALARY'].min()])\n",
        "display(working_df[working_df['SALARY']== working_df['SALARY'].max()])\n",
        "print(\"\")\n",
        "\n",
        "print(f\"    -\\033[1m Mean and Median salary of all players: \\n     Average: ${int(working_df['SALARY'].mean())} / Median: ${int(working_df['SALARY'].quantile(0.5))}\")\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "3a146e0c-ce0d-4e0c-971e-5b21e13fa077",
      "metadata": {
        "id": "3a146e0c-ce0d-4e0c-971e-5b21e13fa077"
      },
      "source": [
        "##### 3.2 Relationship between scoring (points per game) and salary of all players, the players positions should also be visible."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 103,
      "id": "da36f3c1-0e69-47fd-a39c-67ce53f72851",
      "metadata": {
        "id": "da36f3c1-0e69-47fd-a39c-67ce53f72851"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x1dc23e49db0>"
            ]
          },
          "execution_count": 103,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtMAAAKeCAYAAABnMpeDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOzdd3hUVfrA8e+905NJL4SEXkLvXYqiqICIFEEQe8W+a8UKq66i66prW7ur4k9BRRSUIooI0gTpINJ7IL1Pvff3R8zIMAEmIcmkvJ/n8dmdw507b2bu3PvOue85R9F1XUcIIYQQQghRbmqoAxBCCCGEEKK2kmRaCCGEEEKICpJkWgghhBBCiAqSZFoIIYQQQogKkmRaCCGEEEKICpJkWgghhBBCiAqSZFpUidmzZ9OmTZsy/+vUqRMDBw7kjjvuYMOGDRV+jUOHDtGmTRtuv/32Cu/j+PHjfPnll35t559/Pj179qzwPitbef/Oqoi/Kt+TvXv3Mn/+/CrZd03y6quvlvl96NChA3369OHqq6/m66+/9m1f+rkH+9/q1at9zy0sLOT1119n1KhRdOvWja5du3LxxRfz1FNPcejQoXLH/sMPPzBmzBi6devG0KFD+eyzzyr0Hvz+++9MmTKFwYMH07FjR/r06cOVV17Jxx9/jMvlqtA+oXLOBTVFWZ9t27Zt6dy5MxdeeCFTp04lLS2tyuOYMmUKbdq0Yfv27b42p9PJ+++/f8btqlPp92rx4sUhef3K8s9//jPgeyxqD2OoAxB1W+/evendu7dfW15eHps2bWLx4sX89NNPfPjhhyFJXjMzMxk6dCh9+/Zl7NixvvZrrrnmrC7soVab4v/999+5/PLLmThxIsOGDQt1ONXiggsuoF27dr7HHo+HrKws5s+fz4MPPsiePXv4+9//TmRkJHfeeaffc7dv384PP/xQ5vcqJSUFgIyMDK688kr279/vO7aNRiM7d+7kk08+4fPPP+fNN9/knHPOCSrexYsXc8cdd9C8eXMmTJjATz/9xNSpUwGYMGFC0H/3d999x/3334/NZmPw4MEkJSWRm5vLmjVrePrpp/nqq6/46KOPsNvtQe+zroqIiODaa6/1aysuLmbDhg189tln/PDDD3zxxRckJSVVWQxDhgwhJSWF+Ph4X9tVV13F3r17ueGGG067nRD1jSTTokr17t2bu+66q8x/+89//sMbb7zBCy+8UOGerrNRXFxMYWFhQPt1111X7bFUptoUf25uLm63O9RhVKshQ4YwZsyYgPYbb7yR0aNH88477zB+/HhSUlICvjuzZ8/2JdOn+l698MIL7N+/n9dee40LL7zQ799WrlzJTTfdxIMPPsiPP/6I2Ww+Y7xvv/02JpOJ//u//yM2NpabbrqJc889l08//TToZLqgoIDHH3+clJQUZs6cSWxsrO/fvF4v06ZNY9asWbzyyis88sgjQe2zLouMjDzl5/vEE08wc+ZMXn31Vf75z39WWQxDhgxhyJAhfm2ZmZlBbSdEfSNlHiJkbrvtNkwmE+vXr6e4uDjU4QgRUs2aNeOCCy7A6/WyfPnyCu9nyZIlpKSkBCTSAP369WPo0KGkp6fz22+/BbW/o0ePYjKZiIyMBCAuLo7w8HAKCgqCjunXX3+loKCAkSNH+iXSAAaDgYcffhiTycT3338f9D7rqxtvvBGApUuXhjgSIUQpSaZFyJjNZt8t3ZN7J1euXMn1119Pjx496Nq1K1dccQULFiwIar+HDx9m6tSpDBkyhE6dOtGtWzfGjBnDp59+6ttm9uzZXHDBBUBJPWibNm2YPXs2UHZ9sMvl4s0332T48OG+Ws/bbruNzZs3+223evVq376++OILLr30Ujp16sSgQYN47rnnAn40bN68mVtvvZUBAwbQqVMnLr74Yl544YVTJipLly5l/PjxdO7cmX79+vHwww+TlZXlt83J8ZfWry9btozXXnuNgQMH+t7TJUuWBPWelvrjjz+49tpr6dKlC/379+eJJ54os7eqoKCAF154gSFDhtCxY0cGDhzI1KlT/bZ99dVXueaaawD46KOPaNOmDZ988glt2rThoYce8tvfjh07aNOmDeedd55fu6Zp9OnTh0mTJvnaXC4Xb731FsOHD6dTp07069eP++67j4MHDwbEqes6n376KaNHj6Zz58706tWLyZMns23bNr/tyvu5VlSDBg0AyMnJqfA+SstGMjIyyvz3yZMn88Ybb5CamhrU/vr27UtRUREfffQRAN988w05OTnl6o30eDxAyfFTlrCwMF5//XWeeeYZv3a3282HH37I+PHj6dGjBx07dmTw4ME88cQTAcd9WYI5F8BfdbcrV65k3LhxdOzYkYsvvphHHnmENm3asGLFioB9//rrr7Rp04aXXnop2LehUpzqGNm7dy/3338/55xzDh07dmTIkCE8//zz5Ofn+23n8Xh47bXXuPTSS+natSu9e/fmxhtvZOXKlX7bnVgLXVqTfvjwYfLz82nTpg1TpkwJ2O5E3333HRMmTKBr165069aNCRMm8O233wb8PaX7+u2337j66qvp1q0bvXr14m9/+1u56vsdDgfPPPMM/fr1o2vXrlx99dVl1h+Xjie47LLL6NatG506deKiiy7i+eefp6ioyG/b8pyfy3PN+uKLLxg5ciRdunThoosuCsmdWVG5JJkWIbNlyxays7NJTk729XoBfP7551x//fXs2LGD4cOHc8UVV5CZmck999zDm2++edp9Hjp0iLFjxzJnzhy6du3Kddddx4UXXsju3buZNm0aM2bMAKBdu3a+RK558+bceeedfnWsJ3I6nVx33XW89NJLGAwGJk6cyDnnnMPy5cuZOHFimQNfZsyYwbRp02jdujVXX301FouF999/n8cee8y3zd69e7n++utZv349559/Ptdeey3x8fG888473HHHHQH7/O2337jtttuIj4/nqquuIjk5mdmzZ3PTTTeh6/oZ3++XXnqJt99+m0GDBjFy5Ej27dvHbbfdFjAA81QcDgdXXXUV+fn5TJo0iRYtWjBz5kyuvPJKv4tLfn4+EydO5J133qFRo0Zcc801dOvWjVmzZjFu3DiOHz8OlJQAjR49GoAuXbpw5513cu6555KcnMyqVav8Xrv08dGjR/2S4k2bNpGTk+NLst1uNzfffDMvvvgi4eHhXHXVVQwcOJBFixZx+eWXByRzDz30ENOmTcPtdjNhwgSGDh3K2rVrmTBhQkByAcF9rmfjwIEDwF8JU0X079+f4uJirrjiCj766COOHDni9++tW7fmggsuCOghPpV77rmHiIgIXnzxRR555BGmTJlCjx49uPvuu4OOqUePHlgsFhYtWsTkyZP58ccfAxKXc889l379+vm13XfffTzzzDMYjUbGjx/PFVdcgdlsZubMmdx8882nfc1gzwUnuv/++7FarVx99dX06dOHUaNGATB37tyAbb/55hsALrvssqDfh8qwf/9+wP8Y2bhxI2PGjOHbb7+la9euTJo0ibi4ON577z3Gjx/vl3g/9dRTvPrqq0RHRzNp0iSGDh3Kxo0bufHGG085+K20fj8iIgKz2cydd9552h9Tzz33HH//+985dOgQI0aM4JJLLuHQoUPce++9/Otf/wrYfuvWrVxzzTWoqsrEiRNp06YN8+fP57rrrgt6/Mf06dP5+uuvGT58OEOHDmXz5s1cf/31/PTTT75tPB4P119/Pa+++ioJCQlceeWVjB07FofDwXvvvef7gQDlOz+X55r18ssv8+ijj1JQUMDll19O27ZtefLJJ+vFIOw6TReiCnz55Zd6amqq/sorr/i1a5qm5+bm6j/99JM+ZMgQPTU1Vf/88899/3706FG9Y8eO+rBhw/SsrCxfe3FxsX7FFVfobdu21Xfs2KHruq4fPHhQT01N1W+77Tbfdo8//riempqq//LLL36vu3HjRj01NVW/4oorfG1lPV/XdX3w4MF6jx49fI9fe+01PTU1VZ8yZYrudrt97Vu2bNE7d+6s9+zZU8/Pz9d1XddXrVqlp6am6u3atdN/++0337Z5eXl637599fbt2+sFBQW6ruv69OnT9dTUVH3lypV+r3/LLbfoqamp+h9//OEXZ2pqqv7NN9/4tvN6vfro0aP11NRUfevWraeMv/SzaNeunb5+/Xpf+/79+/WePXvqPXr00HNzc/XTGTx4sJ6amqrfddddutfr9bW/8MILempqqv7iiy/62qZNm6anpqbqM2bM8NvH4sWL9dTUVP3uu+/2tZW+X08//bSvrfQz3LNnj69t8uTJeteuXfXU1FR99uzZvvZXXnnF771655139NTUVP3555/3e+1NmzbpHTp00MeOHetr++677/TU1FT93nvv9ftcDxw4oPfu3VsfOHCg7nQ6/eIM5nM9ldJYv/zyyzL/fdOmTXr79u31zp0765mZmWVuc6rv1YnS0tL0Cy+80HfMpKam6hdccIH+8MMP6wsXLvT9TcHyeDz6/fff79vX448/rrtcrnLtQ9d1fc6cOXqHDh18++nQoYN+xRVX6C+//LLf8Vtq/fr1empqqn7ffff5tbvdbn3EiBF+x8jZngtKP5sxY8b4Hd+apvm+Tye+b06nU+/Vq5ff8VRZUlNT9cGDB5f5b16vV7/zzjv11NRUffr06bqul3w+F110kd6+fXt96dKlftv/61//0lNTU/WHH35Y13Vdz8/P19u2batPmjTJb7tNmzb5vt+lHnroIT01NVXftm2br+3kc0tZ2/366696amqqPmrUKL/jODMz0/e5rVmzxu/vTU1N1d955x1fm6Zp+g033KCnpqYG/E0nK/3sevXqpR88eNDXvnXrVr1Lly76eeedp3s8Hl3XdX3evHkB56vS9+Wcc87R27VrpxcVFem6Hvz5uTzXrL179+rt27fXL7vsMr9z7o8//qi3adNGT01N1VetWnXav1fUTNIzLarUa6+9FjDFU69evbjlllvIzs5mypQpXH755b7tv/nmG1wuF3fffTcxMTG+dqvVyt13342maXz11VenfL2RI0fyzDPPBMxU0LlzZ6xWa5klCWfy1VdfYbPZePTRRzEa/xqz26FDB6688kry8vJYtGiR33N69epFt27dfI8jIiLo1q0bHo/HN62VpmkAAaUizz77LCtXrqR169Z+7Y0bN+bSSy/1PVZVlUGDBgGUWcJwsuHDh9O1a1ff4yZNmjBp0iTy8/P9em9ORVEUHnjgAVT1r9PGXXfdhd1u9/XceTwe5syZQ+vWrf1KL6BkFovu3bvz/fffn7be9txzzwXw9Qx7vV7Wrl3L6NGjMZlM/Prrr75tly9fTkpKiu+9+uKLL4iMjOTvf/+73z47derk663auXOnb1sg4HNt3LgxEyZM4NixYwG394P5XM9k8eLFvPrqq77/XnrpJe6++24mTZqEx+PhwQcfDLrXuCwNGjRgzpw5/P3vf6dFixZAyfHx5Zdfctddd3HxxReXWbZQlsOHDzN69Gi++eYbmjVrBpT0gnq93nLHddlllzF79mxGjx5NREQEbreb9evX88YbbzB69Ghuv/12v9KNpKQkpk+fzj333OO3H6PRSI8ePYCyB8SVqsi54MILL/Q7vhVF4bLLLiM/P9+vRnnp0qXk5uZWWa90Xl6e3zHyyiuv8PTTTzNixAgWLVpEs2bNuO222wBYv349+/bt45JLLvGdD0rdfffdNGjQgLlz5+JyudA0DV3XOXr0KOnp6b7tOnXqxOLFi/n3v/991rGXlsudfBzHxsZy3333AQTcDbNarb47hVDyvg8cOBAoOQaDcc0119CoUSPf4/bt2zNy5EiOHDnC2rVrfW1PP/10wEwpdrud9u3b4/V6yc3NBYI/P5fnmrVgwQI8Hg+TJ0/2uxs7ePBgBgwYENTfKWommc1DVKkTp/AqKChgwYIFpKWlMXLkSJ566imsVqvf9lu2bAFKEqnSpKdU6W3h33///ZSv17NnT3r27ElOTg7bt2/nwIED7N27lw0bNuB0OsudBBQUFHDw4EG6d+9e5pRdPXr04P333w+IqTTxOFFERATwV3346NGj+fTTT3nhhReYMWMGgwYNYtCgQfTv35+wsLCA5zdt2jSgLTo6GiDglnlZTp5KDUoSCyh5T0eOHHna5ycmJtK4cWO/NrPZTNu2bVm7di35+fmkpaVRVFSE1+vl1VdfDdhH6WewY8cOX0J0sn79+mE2m1m1ahVXXnklW7duJS8vj/79+7N582bfhTEnJ4fNmzf7ZpQoLCxk7969JCQk8N///jdgv6U1xNu3b6d169Zs3boVi8XCJ598ErDt3r17fdueWKcdzOd6Jj/88AM//PCD77HJZCI6Opr+/fszadKkSrmohoWFMXnyZCZPnsyhQ4dYuXIlK1as4KeffuLIkSNMnjyZzz77jPbt259yHwUFBVx11VWkpaUxbdo0xo8fz80338wvv/zCtGnTmD59Og888AC7d+/mpZdeKvP4PFlqairTp0/H4/GwefNmVq5cyc8//8z69ev54YcfyMzM5LPPPkNRFJKSkhg9ejQej4etW7eyd+9eDhw4wPbt230/BkoTnrJU5FxwYjJWatSoUbzxxhvMnTvXN6hz7ty5GI1GLrnkkjP+zRWRn5/Pa6+95nusKAphYWE0adKEyZMnc8MNN/iSsdJa5V69egXsx2w2+xLlPXv20LZtW4YPH863337L4MGD6datG4MGDWLw4MG0atWqUmL//fffUVW1zO93advJ58vk5OSAmWVKv1fBlnl07949oK1z587MnDmT33//nT59+tC8eXOaN2+O0+lk48aNvmNq69atrFmzBsB3XAR7fi7PNav0fzt27BgQa7du3Vi2bFlQf6uoeSSZFlXq5Cm87rnnHm655Ra++eYbIiIieOKJJ/y2Lx0sc7oBGaU9B6f6t2effZZ58+bhdrtRFIWUlBT69u0bMKgsGKVT55We2E+WmJgIlNQTn6isKccURQHw1Te3bduWWbNm8eabb7J06VJmzZrFrFmzCAsL45prruFvf/ub7zkAFovllHHqQdRMl1WHWzo3bDAzM5xqHtnw8HCg5MKRl5cHwJ49e/ySgZOd7jMMCwujV69erF69Gk3TWLVqFaqq0qtXL9atW8d7773H8ePHWbt2LV6v19eTXfo3pKenB/Xa+fn5vsFYwcYZzOd6Js8++2yZU+NVlUaNGjFu3DjGjRtHTk4OU6ZMYcmSJXz44Yc899xzp3xeab317bffzsSJEwF48cUXGTt2LF999RWtW7fmhx9+wGg0+ua4DpbRaKRbt25069aN22+/nfXr13P77bezYcMGVq9eTd++fYGS88Drr7/uq7OPjIykS5cutGzZko0bN572Pa/IueDkH/dQ8iO2W7duLF26lIKCAnRdZ8mSJQwcOPCMdxDK+kE5ZMiQU47PKJWSksKPP/542m1KlR73p5qfu/QcVTpI9rnnnqNjx47Mnj2bNWvWsGbNGl544QU6duzI008/fcbYgonHYrGU+V2JiIjAZrMFDNitjO9VXFxcQNuJ5yYo+fH11ltv8cEHH/i+23FxcXTr1o2UlBR2795d7vNzea5ZpefH0rhOVNoxImonSaZFtQoLC+Pll1/msssu45NPPiE1NdVvrtrSX/yLFy8O6AUNxgMPPMDSpUuZMGECl112Gampqb6LTFmDiM6k9KR37NixMv+99ORY0RNh27Ztefnll3G5XKxfv56ff/6Z2bNn8+abb9KgQQOuvPLKCu23LCcn/PDXj5cTb0+eSunferLjx4+jKAqRkZG+9+uyyy7j+eefr3CsgwYN4pdffmH79u2sWbOGtm3bEhkZSZ8+fXjvvfdYu3Yty5Ytw2az+RKv0mOnZ8+eZfY2nywsLIzw8PCgSlxqizlz5vDiiy9y3333lVmCEB0dzZNPPsnAgQN9A9lOZdOmTQB+i+lER0fz2muvMWHCBN/ne9111/mVyZTl9ttvZ9OmTaec27pbt25cd911vPjii77FZubPn8/UqVNp06YNU6dOpUOHDjRs2BCAqVOnsnHjxtO+ZmWeC0aNGsX69etZsmQJXq8Xl8sVVIlHWT/UUlJSzjphPVF5z1Emk4kbbriBG264gSNHjvDLL7+wYMECli9fzq233soPP/yAyWQ6q3iKi4vJy8vzK2WAkjtTDocjqPNNeZ08awng+xEWFRUFwPvvv8/LL79M7969ufnmm2nXrh0JCQkA3HTTTezevdvv+cGcn8tzzSp9PwoKCgLeg7LWPBC1h9RMi2oXHx/PtGnTgJIR2CdOf9SmTRsgsE4NYN++fTz33HOn7LHJy8tj6dKldOzYkX/84x9+pRmHDh3C6XT69XKc2Ot7Kna7nUaNGrFv374yp+Iqrd+tyC3SOXPm8NRTT6HrOmazmT59+vDAAw/4erPWrVtX7n2eTlnv6fr164G/yj1O58iRIwF1pjk5Oezbt48WLVpgs9lo3rw5ZrOZrVu3ltmj9L///Y833niD7Oxs4NSfQWnt54oVK9iwYYPvFnaPHj0wGo2sWbOG5cuX07dvX1+PfUREBMnJyezatavMHw5z5szh1Vdf9R1vbdq0IS0tza92tNRPP/3ESy+9dNqSopooJiaGY8eOBdTwn6j0PS/tsTyV0vf15Hr8du3a8eCDD/oen1jHfyomk4n09HR+/vnnoOOaN28eAP/+978ZMmSIL5GGkjsfcOpey/KeC85k+PDhmM1mlixZwpIlS4iIiOD8888/4/N27NgR8F9l35UoTczLmjdc0zTWrVtHWFgYKSkpHDx4kBdffNE3JWZycjLjxo3jvffeo2/fvhw7dqxCy82fqG3btkDZ569169ah63qllZScqKzz24YNG4C/yirmzZuHwWDgv//9L4MGDfIl0rquBxxTwZ6fy3PN6tChg99zT1RaLiJqJ0mmRUhceOGFXHTRRRQXF/sSaygZNGQwGHj55Zf9khyPx8NTTz3F+++/f8o5eE0mE6qqkpeX51dn53A4eOqppwD/utbS3rQz1bqOHj3aN4dp6Xy5UDKd04wZM4iMjAzqwnqyDRs2MGPGjIApkUovZsnJyeXe5+nMmjXLr+dl7969fPzxxzRo0CCoOl2v18vrr7/ue6zrOi+++CLFxcW+5dgtFgvDhw9n165dfPDBB37PX716Nc8//zxffvmlr6foVJ9BixYtaNKkCZ9++in5+fm+eu/SgULz5s3j+PHjAfNOjx49mpycHF544QW/etpdu3bx5JNP8sEHH/h66EaPHo2u6zz11FN+x8vx48eZOnUqb7/9dpm3Y2uyAQMG0KxZMxYvXsxbb70VUFPscrmYPn06gG9awlO56KKLgJJShRPLgNLS0pg1a5bv8cMPP3zash3ANxh12rRpvh7vE+3bt4+PPvqIxMRE+vfvD/yVzJ88X/acOXN89a0nfh9PVN5zwZlERkYyePBgli1bxi+//MLQoUNPW3ZVnXr06EHTpk1ZtGhRwEIur7zyCkePHmXYsGGYzWasVivvvPMO//nPf/zeF5fLRXp6Omaz2ZdglsVkMp3yPS9V+mPhxRdf9OuAyMrK8t3NqIqBmx9//LHf661du5YFCxbQunVrX2eBxWLB6/UGdIy8/vrrvoGOpX9fsOfn8lyzhg8fjsVi4b///a/ftmvXrg26rEfUTFLmIULmscceY8WKFSxbtox58+YxYsQImjVrxgMPPMD06dMZMWIE559/PlFRUfz888/s3r2bwYMHn3KgnM1m48ILL2ThwoWMGzeO/v37U1RUxJIlS8jIyCAqKor8/Hw0TUNVVWJiYjCbzaxevZpnn32WCy+8MGCxFoCbb76Z5cuXM3fuXHbs2EHfvn3JzMxk8eLF6LrOSy+9dMp6xdO56aabmD9/Pvfffz8LFiygadOmHD58mEWLFpGQkMBVV11V7n2ejqZpjB8/nqFDh6LrOosWLcLhcPD8888HlRjExcUxZ84cdu7cSceOHfntt9/YsGEDPXv29BuJ/9BDD7F+/Xqee+45fvjhBzp37uzrLTUajTzzzDO+GRNK67jnz59PWFgYo0eP9o2SHzRoEDNmzPDVS5fq3bu3LyErrZcudcstt7B8+XI+/vhj1q1bR+/evcnLy2PBggUUFxfzwgsv+D6rMWPG8OOPP7Jw4UJ27NjBwIED8Xg8zJ8/n5ycHO67774KlRqFksFg4I033uDaa6/lxRdfZObMmfTv35/Y2FgyMzNZtmwZaWlpXH/99QwePPi0+xo+fDgLFy5k4cKFjB49mnPPPZeCggIWLlyI0+nk6aefZtWqVcybN48rrriCmTNn+n4knax3795MmTKF559/niuuuIKePXvSvn17TCYTe/bs4eeff8ZsNvPuu+/6ykBGjhzJt99+y5133skll1yC3W5n8+bNrFmzhri4ODIzM0/5w7q854JgjB49moULFwLVP7f06aiqyvTp07nxxhuZPHkygwcPpkmTJqxfv54NGzbQsmVL352EhIQErr32Wj744ANGjBjBueeei6qqLFu2jN27d3P77bef9lyWmJjIvn37uP/++xkwYIBvHu4T9erVi+uvv54PPviAkSNH+o6zJUuWkJ6ezs0331zmYMmzZTQaueyyyxg+fDiZmZksWLAAq9XKs88+69tm5MiRbNiwgYkTJzJs2DBMJhOrV69m69atAcdUsOfn8lyzUlJSeOihh3jyyScZPXo0Q4YM8Q3Mb9iwoW+eeVH7SM+0CJkGDRr4pjB75plnfL1b119/PW+//TZt27Zl0aJFzJw5E6PRyJQpU3jllVdOW5/5zDPPcO2115Kfn8+MGTNYtmwZnTp14tNPP2XUqFE4HA7fwgRms5knnniCqKgo/u///i9goZBSFouF//3vf9x999243W4+/fRTVq1axeDBg5k5c2a5VoI7UaNGjfj0008ZPnw4W7Zs4YMPPuDXX39l5MiRzJo166wW7ijLrbfeyoQJE1iyZAkLFy6kS5cuzJgxIyAhPZWEhAQ++OAD3G43M2bM4OjRo9x88828++67fjWWsbGxzJo1ixtuuIFjx47x8ccfs3btWs4//3xmzZpFnz59fNumpKT4BvJ88sknfr2WpaUebdq08UvSSp/fpk0bv1v/UDKA7KOPPuKuu+7C6XTyf//3fyxdupTu3bvz0UcfMWLECN+2iqLwyiuv8Oijj2Kz2fj888+ZP38+rVq14vXXX+eWW24px7tbc7Rs2ZIFCxbwt7/9jYSEBL7//nvee+89lixZQvv27XnnnXf8Fqc4FUVRePHFF3nooYewWCzMnDmTn376iQEDBvD5558zbtw4pk+fztixY+nVq9cpE+lS119/PV9++SVjx47l+PHjzJo1i48++ojdu3czYcIEvvvuO78ZGc477zxeeuklmjRpwty5c/nqq69wOp088cQTvPvuu8Dpl9Quz7kgGAMHDiQ8PJyUlJQyf3SHUvfu3fniiy8YPnw469ev55NPPiEnJ4fbbruNzz//3G9MxwMPPMC0adOw2+189dVXzJo1i/Dw8DKnITzZAw88QOvWrVmwYAFff/31KbebMmUK//rXv0hJSWHu3LnMnz+f5s2b8+qrr3L//fdX1p/t55lnnuG8885j9uzZ/PDDD/Tv35+ZM2fSqVMn3zZXXnkljz/+ONHR0Xz++efMnTuX8PBwXnzxRZ588kngr2OqPOfn8lyzJk2axOuvv07Dhg356quvWLt2rW9qTFF7KXp5CseEELXO7Nmzefjhh3n44Ye57rrrQh2OqIPK08NbW+3Zs4dhw4Zx22238be//S3U4QghapC6ffYTQghR5ep6Iq3rOm+88QaqqvrGBwghRCmpmRZCCCHK4HK5GDNmDE6nkwMHDjB27NhaV0cvhKh6dbs7QQghhKggs9nsm9Zv+PDhPProo6EOSQhRA0nNtBBCCCGEEBUkPdNCCCGEEEJUUK2vmc7OLkTTqq9zPS7OTmZmwZk3FPWGHBOiLHJciJPJMSFOJsdE7aGqCjExZS/kVeuTaU3TqzWZLn1NIU4kx4QoixwX4mRyTIiTyTFR+0mZhxBCCCGEEBUkybQQQgghhBAVJMm0EEIIIYQQFSTJtBBCCCGEEBUkybQQQgghhBAVJMm0EEIIIYQQFSTJtBBCCCGEEBUkybQQQgghhBAVJMm0EEIIIYQQFSTJtBBCCCGEEBUkybQQQgghhBAVJMm0EEIIIYQQFSTJtBBCCCGEEBUkybQQQgghhBAVJMm0EEIIIYQQFSTJtBBCCCGEEBUkybQQQgghhBAVJMm0EEIIIYQQFSTJtBBCCCGEEBUkybQQQgghhBAVJMm0EEIIIYQQFSTJtBBCCCFEDZdT5OZQZhFFbi+KEupoxImMoQ5ACCGEEEKUzavrrPn9OB/M24bHqxNlN/PQVT1JiraGOjTxJ+mZFkIIIYSooTLynLzz9VY8Xh2A/EIXK7ce5Wiug6xCV4ijEyA900IIIYQQNVZGrsPv8aSh7fhl0xHmLtuLqiqMGtSCi3o1wWyQ2o9QkZ5pIYQQQogaKi7yr3KOlo2i2H0ohz2HcwHQNJ3ZP+3mYHpBqMITSDIthBBCCFFjJURZuGZYO1QFWjWKZtverIBtDh7Ll0GJISRlHkIIIYQQNZRBUTi3S0M6tYzD4/WSne9gzdZjftskxYWj6yEKUEjPtBBCCCFETaYAcXYzDaJsjBvcmugIi+/fzunUkGYN7KELTkjPtBBCCCFEbRFnN/P0zf04ll2ExWwgMcqKUZUaj1CSZFoIIYQQohYJM6s0l97oGkPKPIQQQgghhKggSaaFEEIIIYSoIEmmhRBCCCGEqCBJpoUQQgghhKggSaaFEEIIIYSoIEmmhRBCCCGEqCBJpoWoBIqi4NF0dJnqUwghhKhXZJ5pIc5SVm4xP286yoLV+0mItjHu/NakxNlAlnYVQggh6jxJpoU4C4oCi1Yf4JOFvwNwNKOQbXszeWbyOcSfsNyrEEIIIeomKfMQ4iwUuzW+/nm3X5vHq3PgWH6IIhJCCCFEdZJkWoizYFAVwm2mgHazyRCCaIQQQghR3SSZFuIsmA0K113S3q8tPspK0wYRIYpICCGEENVJaqaFOAu6Dr3aN+AfN/dl294sYiIstGkSQ4RVvlpCCCFEfSBXfCHOksVspHFcGE3iw9F1mcJDCCGEqE+kzEOISiKJtBCiOhkMKqoqk9sLEWrSMy2EEELUIrqiccR5hFWH12ExWOiT0o1EYwPk97wQoSHJtBBCCFGLHCw+yHMrXvc9/n7Pzzw28B4SDA1CGJUQ9ZeUeQghhBC1hGKA73b/4Nfm0TysT9siJR9ChIgk00IIIUStoeP2egJaPVpgmxCiekgyLYQQQtQSuldhWKvBfm2KotC9YWc0TYqmhQgFqZkWQgghapHm4c25r9+tLNq9FJvJyoUtBpFkSgLJpYUICUmmhahi+Q4Pe47kkVfkokVyJMkxYShS2iiEqCCDbqSFrSW3d2kJKGheXRJpIUJIkmkhqlCB08tzM9ZxJKPQ1/bgVT1o1zhKprESQpwVzQuSRQsRelIzLUQVOnC8wC+RBvjwu+04vXIBFEIIIeoCSaaFqEJOV+AI+7xCV8ltWSGEEELUepJMC1GFGiXaMZw09+uwfk2xWQwhikgIIYQQlUmSaSGqUEKEhcdv6ENq42hiIixcMSSV87s3QpcprIQQQog6QQYgClHFmsSH8eCk7ni8OhajIgMPhRBCiDpEeqaFqAYqYDZIIi2EEELUNdIzLeo8s1YEOYfQ3S4MMck4LbGS1AohhBCiUkgyLeo0iyeP/EVv4Dz0OwCK2Ub8uMdwhKeEODIhhBBC1AVS5iHqNC19ty+RBtBdxeSvmIVRCZyyTgghhBCivCSZFnWWooA3Lz2g3Z2+H4PXFYKIhBBCCFHXSDIt6ixdB1Ni84D2sLb9cRvCQhCREEIIIeoaSaZFneaNbkr0BdehmKwA2FL7YO00BJnmWQghhBCVoVoHIL722mvMnz8fgHPPPZcHH3yQhx9+mHXr1mGz2QC48847ufDCC6szLFGHeRQzSqvziGvaDbxuvNZoHLqMuxVCCCFE5ai2rGLFihUsX76cr776CkVRuOmmm/j+++/ZsmULM2bMIDExsbpCEfWMroPTGFVytEuPtBBCCCEqUbWVeSQkJDBlyhTMZjMmk4mWLVty5MgRjhw5wuOPP86ll17KK6+8gqZp1RWSEEIIIYQ4C6qiY3FmYMnbh8Wbh6KEOqLqp+h69S9fsW/fPiZMmMD//d//8e9//5snn3ySsLAwbr31VkaMGMH48eOrOyQhhBBCCFEOmttF/qYlZH7/Png9qGGRNLj8AWyN24c6tGpV7cn0zp07ufXWW7nrrrsYPXq03799//33zJkzh9dffz3o/WVmFqBV42iyhIQI0tPzq+31RM0nx4QoixwX4mRyTIiT1fZjwlJ0mIwZj/q1GaMaED1uKk61bs2apaoKcXH2sv+tOgNZt24d1113Hffddx+jR49mx44dLFy40Pfvuq5jNMrgMCGEEEKImk7Lzwxo8+QeA2ft/YFQEdWWTB89epQ77riDF154gUsuuQQoSZ6feeYZcnNzcbvdzJw5U2byEEIIIYSoBQz22MC2iDh0S9k9uHVVtXUDv/feezidTqZPn+5rmzBhArfccgsTJ07E4/Fw0UUXMWLEiOoKSQghhBBCVJA7PInowdeQ89MM0DUUSxixw2/HaQivV7NnhWQAYmWSmmkRanJMiLLIcSFOJsdE/aAoYPYUgLsY3RqJC8spt60Lx4SqaJiL09GK81HscbjMsdTy1LJMp6uZlgJlIYQQQohKoKBjzvid7AVv4S3MwZTYjJihkym2JoU6tCqj6SoOawOwNihpqIOJ9JnIcuJCCCGEEJXA4jhOxlcv4C3MAcB9fB/Z89/AjCO0gYkqJcm0EEIIIUQl0PKOg+b1a3OnH0ApzglNQKJaSDIthBBCCFEJFFtkQJtqDQdz3ZpzWfiTZFoIIYQQohJ47Q2x9xh2QotCzEW34DJGhSwmUfVkAKIQQgghRCXwKGZM3UcR37oPWlEualQD3LbEOjm7RXVTFDBpxSi6httor9aZ3M5EkmkhhBBCiEriUSx4IptBYMWHqCCD7sZwdCu5P3+C5iomotcIzK0H4jKEhzo0QJJpIYQQQghRgxlzD5Ax92Xf49yfPyPabENpeV6N6PWXmmkhhBBCCFEjqaqC88CWgPbCDd9j1J0hiCiQJNNCCCGEEKJG0nUdgz0moN0QmYCu1owCC0mmhRBCCCFEjaTrYExpj8Ee+1ejwUhEn1F4tJqRxtaMlF4IIYQQQogyOC3xxI57DG/6fvC6MMQ3wRnWEEJfLg1IMi2EEEIIIWo4hykWkkt6p91QYxJpkDIPIYQQ9ZiigNFYMshJCCEqQnqmhRBC1EtmTx7e/b9RtP0XzI3aYm03EIclMdRhCSFqGUmmhRBC1DtGxYvj168o3LwEAOeRnRRtX0HM+Kk4DbLaRnVSVQVVVfB4tFCHIkSFSDIthBCi3jE4sinc/JNfmzc/Ez3nCMRJMl1dsovcrNxylD2HcxnQJYW2TaKxGqUCVdQukkwLIYSodxSUkoLpk1dPUySRqy4FTi9PfbCGnPyShTd+25HOuAtaM7xPE3StBo0uE+IM5KwhhBCi3nFbY4joMcyvzRTXCCUqOUQR1T+H0gt8iXSpOUt3U1DsCVFEQlSM9EwLIYSod7y6irnLcGIbtMCxex3mhq0wNe2Kw2APdWhCiFpGkmkhhBD1kssQDik9MDfphaZpOKSyoFo1SrATHWHx650edW5L7DajlHmIWkWSaSGEEPWa11t7Z5FQFAX95LrvWsJuMfD49b1YuSWN3YdzGdglmbZNYiSRFrWOJNNCCCFELWPx5KCl7cSTk4alYWu8sc3xKJZQh1VuMWFmRvRtKlPjiVpNkmkhhBCiFjF7C8j97j+40/b62qIHX4OSen7A5CS1gabpaNIbLWoxmc1DCCGEqE1yDvsl0gC5y2dhdueGKCAh6jdJpoUQQohaRPe4AtvcThRNppQTIhQkmRZCCCFqEUNMMoolzK8trP0APJbo0AQkRD0nNdNCCCFELeK0xBE/7jEKVs/BfXwfYR0GYm47EKduCHVoQtRLkkwLIYQQtYiuQ254DEf7DqXAlU9CeAMSTZEoMoZPiJCQZFoIIYSoRVyKg0+2fcm6o5t8bbf3vJaOUR1r7ZzTQtRmUjMthBBC1CLHHMf9EmmAjzZ9QREFIYrozEyaA0vOHkxHfsNaeBgVb6hDEqLSSM+0EEIIUYsUuYsD2gpchbg1NzYlBAGdgVF34vz1Cwo3Lva1xV5yJzTuJfNLizpBeqaFEEKIWqRBeAIG1X+wYafEttgNESGK6PQM+Uf9EmmA7MXvY3LlhCYgISqZJNNCCCFELRKtxvDgObfR0J6IgkKv5C5M6jgWVauZs3nojsLANmcRlNHDLkRtJGUeQgghRG2iKzQyN+Ghvnfj1l2EqWHgrbl9Y2pUIhiM4P1rURlzYnN0W0wIoxKi8tTcb58QQgghTsmkmQnT7TU6kQZwWhNIGPMQxqhEACyN2hI97DZcWEIcmRCVQ3qmhRBCCFFldB2csa2JHj8Nxe3Aa46gGFOowxJVyKg7MRQcQ3c7UCIb4DRGhTqkKiXJtBBCCCGqlK6DUwkDc9iZNxa1mtlbiGPVTAq3/gyAGhZJ/NiHKbY1DHFkVadm3xsSQgghhBC1R/Z+XyINoBXlkbf8M0xK3Z1bXJJpIYQQQghRKbx5GQFtziM7Ub11d/YWSaaFEEIIIUSlMMYElnNYW3TFY6i7JT6STAshhBBCiErhjWpC5DmXg1KSYpoSm2HvMwavXndTThmAWAupqkJesZuCYjdR4RbCzCq6rMgqhBBCiBDzqBYMnS4hvlUf8DrRw+NxYA11WFVKkulaaNuBHF77YiNFDg/Rdgv3TuxG4/gwSaiFEEIIEXJeXcFrTQh1GNWm7va511E5RW5e/HQ9RY6SlaRyCpwlj111d5SsEEIIIURNJcl0LZOZ58Dj1fzacgqc5BS4QhSREEIIIUT9Jcl0LRNlN6Mq/m02i5GIMFlNSgghhBCiukkyXcvE2c3ccGkHX0JtNCjceXkXIm2STAshhBBCVDcZgFjLKCj0a59IauNocgpcxEVZiQkzomky+lAIIYQQorpJMl0LKSjER1iIj7CEOhQhhBBCiHpNyjyEEEIIUWlUBazefMxaEYqinPkJQtRy0jMthBBCiEph9uTh2rKYjHXzUa1hRJ13NVpKF7zIuB5Rd0nPtBBCCCHOmqoqeHatJH/NN+heN97CXLK+fQ1jzoFQhyZElZJkWgghhBBnzeh1ULjpx4B29+EdUu4h6jRJpoUQQghx1jTViDE6KaBdjYhF12XGKVF3STIthBBCiLPm0Q1EnDMWxfBXfbQxJglDw9QQRiVE1ZMBiEIIIYSoFM6IJsRf+RTerMMoRjNKXGOcxuhQh1X9FAWPV8NsVNC0UAcjqpok00IIIYSoFLoODlsSpASWe9QXmQUuvlm+h50Hc+jfOZlzu6ZgtxhCHZaoQpJMCyGEEEJUggKnh6c+WENeoQuAL5fs4uDxfG69tAMyBLPukpppIYQQQohKcDSzyJdIl1qz9RjZJ7WJukWSaSGEEEKISmAyBqZVRoOKUZV0qy6TT1cIIYQQohI0jA2jbdMYv7bLz29FZJhU1dZl8ukKIYQQQlQCi1HljjGd2XU4l4PpBbRpEkPTRDvINNt1miTTQgghhBCVJNxioEuLWLq1ikPTJIuuD6TMQwghhBCikkkiXX9IMi2EEEIIIUQFSTIthBBCCCFEBUkyLYQQQgghRAVJMi1EOSiyhJUQQgghTiCzeQgRBIszA+/R39GKC7CktMUV2RgNQ6jDEkIIIUSISTItxBlYXZlkffEU3sJcX1v8mAdxxrcPYVRCCCGEqAmkzEOIM/Ae2+2XSAPkLv8ME64QRSSEEEKImkKSaSHOQHMVB7YVF6Do3hBEI4QQQoiaRJJpIc7AlNQSFP+vSkTPEXgMYSGKSAghhBA1hSTTQpyBy55CwvhHsTRuhzGmIdEXXI+hRR9Z3UoIIYQQMgBRiDPRdAVHVEvCh9+PontwK1a8uiTSQtR2Xl3nWI6DY1lFRNktpMSFYTFKH5MQonwkmRYiSG7dABhAEmkhaj1FgQ07M3n9y02+tkFdU5h0USomVSaUF0IET36CCyGEqBEMeLAWHsJ05DcsOXsw6o4qe618h4f3523za/t5w2GOZQcOOBZCiNORnmkhhBAhpyigHlhH+vz/+trs3Ydi6jEGj2Ku9NdzujWKnZ6A9kKHu9JfSwhRt0nPtBBCiJAzu3LI/uEDv7aC3xZgKEirkteLDjeR2iTaPwajSoMYmaVHCFE+kkwLIYQIPXcxuiuwrEN3FFTJyxkUhcmjOtG9bSIAjRLtPHZ9b2LCK78XXAhRt0mZhxBCiJDTbTGY4hvhzjjka1OMZpSoxCp7zegwE7eP6kixy4vFqGJUFXQZYCyEKCfpmRZCCBFyLsVKzPC7MCenAmCMakD8mAdxWeKr9HVVINxswCgzeAghKkh6poUQQtQIxdYG2Efcj8GVj24Kw6naZCZKIUSNJ8m0EEKIGsONGbc5ruSBJNJCiFpAyjyEEEIIISqLAlmFLvanF1Lg8KAoUkJU10nPtBBCCCFEJdB0WLntGB/M24am6YRZjTx4VU+aJoRJyVIdJj3TQlQSs1aIJW8/FsdxDIoW6nCEEEJUs4w8J+99sxVNK8mcixweXpm1gWK3XBPqMumZFqIS2IqPkvn1v/HmZYCiEjVgPMa251fJym1CCCFqpqz8wLnSs/IcFBS7sUZYQhCRqA7SMy3EWfI6i8hd8mFJIg2ga+Qu+wxD/uHQBiaEEKJaxUVaA9rio63YbaYQRCOqiyTTQpwlrSgP56HfA9tLk2shhBD1QlyEmcmjO2E0lAw6jAgzcff4rthMkm7VZVLmIcRZUq0RmBu2xHV0t397RFyIIhJCCBEKqqLQu20CqY0HUFDsJibCgt1ikMGHdZz8VBLiLBls4USdfz2qLcLXFtF7JN6IlBBGJYQQIiT0kqXqG8WFEW6WRLo+kJ5pETJGxYvRkYNuMOAyRdfqE47T3ojYif9Ezz+OYgnDE5aAB6mRE0IIIeq6ak2mX3vtNebPnw/Aueeey4MPPsiKFSt49tlncTqdDBs2jL///e/VGZIIEYs7h8IVn1K8Yw2K2ULUoIkozfvV2tkvdB2cxkiIiQx1KEIIIYSoRtVW5rFixQqWL1/OV199xZw5c9i6dSvz5s3jkUce4Y033uC7775jy5YtLF26tLpCEiGiKuDc/D3FO1YDOrrLQc7iDzDkHAh1aEIIIYQQ5VJtyXRCQgJTpkzBbDZjMplo2bIl+/bto2nTpjRu3Bij0cill17KggULqiskESImbxFFv/8S0O4+vhdZdVUIIYQQtUm1lXm0bt3a9//37dvHd999x9VXX01CQoKvPTExkWPHjpVrv3Fx9kqLMVgJCRFn3kickuYyUZjQlOKCHL92S2wD7PG1872VY6L+8eRlAmCMPPWsLXJciJOF4pjQdZ2M3GJURSEuylbtry9OT84TtV+1D0DcuXMnt956Kw899BBGo5G9e/f6/btSzq7JzMwC37Kd1SEhIYL09Pxqe726yn7OOByHd6C7SlaLMie3QYtpVivfWzkm6heT5kDbs5K8Xz5HB6L6jUFt1R+36p+kyHEhThaKY8Lh1li++Sizf9qFyahy5UVt6J6agEmV24A1gZwnag9VVU7ZgVutyfS6deu4++67eeSRR7jkkktYs2YNGRl/LWxx/PhxEhMTqzMkESJOeyPir/wn3uwjKCYLRKfgVMNDHZYQZ6Qc30HOjx/6Huf8NINYewwk9whhVKK2UlQo1oswKWYMWuVekhUFNu/N4v8W7QDA4fLy1pwtPHxtT1o3lMHSQlSWakumjx49yh133MFLL71Ev379AOjSpQt79+5l//79NGrUiHnz5jF27NjqCkmEkK6DwxwHDWRhE1F7GI0qRb8vD2gv2rIUW5PeeDzeEEQlaqtC8li4+ydWHFxLw4hEruw4mmRzSqVNE6orCot/DRzYvXb7Mdo2isbr1SrnhYSo56otmX7vvfdwOp1Mnz7d1zZhwgSmT5/OXXfdhdPp5Nxzz2Xo0KHVFVJoqBpuXJixost5TIhaRdN0jLEpwK9+7ab4xmiafKFF8HRVY/bv37Hq0G8A7Mk+wHO/vM60QfcTrcZWymuoQKNEOzsP5vi1N4wLr9bySCHqumpLph977DEee+yxMv/tm2++qa4wQipbz+Tr7Qv4I3Mv3ZI6cHGLwUQSHeqwhBBB0jQda2o/CjcuRisuAEC1hmNtNxCHJCeiHAq1AlYfWu/X5tY8pBUdJ9peOcm0pukM7dOUVVvSKHZ6AIiOsNC1dQJ6bV4lS4gaRlZArCbFSiEvrPgvOY48AH7at5KDuUe4p8fNGLTauVBJbacqYNSdeFUzXk0G44jgOKwNiLviH2iZB9HRUeMa47TEg+QmohyMioFwcxgFrkK/dqvRUqmvkxhl4elb+3HoeAGqqtA40U6kVS79p2JUNBTdg0exyA8OETT5RlWT9OIMXyJdanf2frJcOSQYZdBldbO6MinetJjCPb9hbdoJW9eLcVgSzvxEIfiz3r/hCfX+cs0V5WTDzlWdxvDmuo99bW3jWtLQllSpx5OuQ0yYiZhmMZW30zpIUXQsufvJX/Ul3rxMwrtdjKFZT1wGGRgvzkyS6WpiNpgC2lRFLbNdVC0zDnIXvI4rbQ8ABTnHcBzYQtTYx3HJjCJCiGqg6zodotvz2IB7OFJ4jEiznUbhKVh0mQc6FCyFR0mf9TRoJeUwOT98QNS5LtR2F0l9uTijalsBsb6LNyfQJ6WbX9uI1kOIMkSHJqB6TClI9yXSpTzZaZBfvgWDhBDibKi6gYbmFHrEdKd1eCo25Md8qHgy9vsS6VL5v87F6Ck8xTOE+Iv0TFcTo25ifNvL6NuoB8cKj9MoIpkUWzJIrW61U05xN+BU7UIIURMZDCqg4/VKz+nZUgyBY5dUSzio0ucozkyS6Wpk1cNIDU+ljT210uYRFeXnscUT3vkCCjf94GuztemL194ghFEJIURwvLrO3rQC5q/ah81iZGjfpqTEhiFdMxVnSGiOwR6DtyDb1xY1aCJuxSpjIsQZSTIdApJIh5YHI9ZeY7A264Lr2G5Mic1QElvjQmZVEUKEnqIoGAwKXq9W5vVi99F8pn+01vd41eajPHlLP5JjpN66ohzmWGLGPor3yHa8hTmYG3fAE9W0wtdrVVVQVQWPR+afrw8kmRb1kssQDkmdUZO74JbBJUKIGsLqysS1Zy2OQ79jbd0bNaUjLmOE798VVWHu8r1+z9H0klUNRw1oLoPlzoLTEg/NB6IoCs6z6PXKLfbw6+/H2LE/mz4dkujQLAabyVCJkYqaRpLpWkpRQFVVWQ72LMmFRwhhMKhoWtm9wNXJrBWSM/cl3JmHACjes57wzudj7jcJj/5XMmY0BBZ0GKS2t9KczfzSxW6N52es42hmycDFdb8fZ2jfpowf3LLelovUlO9XVZJvXy1USD5rMtYyY8dMNuVuwkFRqEMSQohax+wtxHTkN1w/v4O66ycsrqzQBpRzxJdIlyrctARD8V9x6ZrOyIEt/LYxGhR6tEuUzoEa4EhmoS+RLrVo9X5yC90hiih0zJ48jAdW41r6Doa9v2Dx5IY6pCojPdO1jFt18u76T/gjs2Rqt+UHfmVQ0z6Mbz0KRZPbSEIIEQyDouPaNJ/8X+cBULR1Gab4xkSOmlID55v3T5KbJoQz7aY+LN90BJvZSL9ODUmKloFyNVl9+2hMuCla8SnFv68EoGjbMizNOhN+4R24lcpd5bMmkJ7pWibdke5LpEv9vH812e7sUzxDCCHEyUzOLPLXfufX5s44CDmHQxQRKNENMcYm+7WFdxyE1xbn16YqCk3iw7n6wjaMHdSCpChJpGuK5LgwGsT6DwQd0rsJ0eH1a+pVtSjdl0iXcu7bhFpQN9dzkJ7pWkbTy66R1uVMKoQQQdN1veyplbTQjUNxqnaiR96He9dqnIe2YUvti9qoCy697LuOXq+GIvPh1Sg2k4EpV/dk1dZjbN+XxTmdGtKpRWz9+7Fziu+RrnmrOZDqIcl0LZNgSyAlIonD+Wm+tm5JHYg2xYCMRRRCiKB4rTGEdxxE4ZalvjZDRBxKdPJpnlX1nOY41I6XYOt8KV6vF88pkjAdSMsuZvv+bGwWI22bxhAbbqrTg7xqiyibiWG9G3NJ36Z4vd56+Zlo9gQsjTvgPLjV12ZKbAaRSaELqgpJMl3LWDQbd/W8gRWHf2Vrxh/0bNiFHg26YNDkoxRCiGB5dAO23mMxJTalePsvmFPaYm1/Lg5jZKhDQ9N0tDP04B1IL+Sp91dTOubQbjPxj5v6EBMu8+XXBMF8hnWZGwsRQ27GunMljt1rsTTrgqVNfxxK3ZwLXTKwWihCiWZYk4sY1vRC0BUZwS2EEBXgNEaitL6A8NTBeFFx1JJzqQ588eNOTgy3oNjNtn3ZDOjYoF72hIqax2mKRu04nPCOQ2vV96siJJmupf5KoOvuwSmEEFVN13XcukJtOpdqQG6hK6C90OEGatffIuo2TdPR6sExKbN5CCGEELWIUYFL+zf3a1MU6Ng87qwWHBFCVIz0TAshhBC1iK5Dl5ZxTB7diW+W7SEizMz4C1rTMLZu1qMKUdNJMi2EEELUMmajSp+2CXRPjcegKMgMeUKEjiTTQgghRC2k62CUiaaFCDlJpoUQQoizoCiQVeDiSGYRVpOBlIRwrEYZkiREfSHJtBBCCHEWDmUW8+T7q3F7SlbOatcshjvGdCbMXPbKhUKIukV+OgshhBAV5NV1Pp6/3ZdIA2zfl82B4wUhjEoIUZ0kmRZCCCEqyO3VOZwemDjn5DtDEI0QIhQkmRZ1msWbhzlzB5ac3Zj14lCHI4SoY2xmlYFdUwLaGyXaQxCNECIUpGZa1FlWx3GyZk/HW5AFgDm5DZEX347TFBXiyIQQdYWuwbB+TckvcrNi8xHCrSauu6S9zPksRD0iybSoNKqiYS7OQCvMRrHH4rLEo4do9lNV1SnasMCXSAO4juzAe3Q7NOkbkphqCgNejEXH0YvzUSPicVpikUXThKi4CIuRG4a3Zfz5rTAaFMItRjRNvlRC1BeSTItKoaKh7ltJ+qL3SrpqDEbiLrkLd8MuIUnUjLqXoiN/BLS7j+/H0Kxfvb3QGXGjbV9MxrJZgI5ishA/+gGcMa0koRbiLChAhLXkklpfzy9C1FdSMy0qhdmRTnZpIg3g9ZC14L+YXdkhicejmLC1CeyBtjRuV68vdIb8NHKXzQRK3gPd7SRr/huYPIWhDUwIgaKA1Z2FOXs3FmcGqlJ/z1VC1CbSMy0qhVaU+1ci/Sfd5UAvzgNTTPXHo+lYUgdgO7aX4l3rQFGJ6HUJenyrao+lJtGKAn/cePOzUFyFYAsPQURCCABFUTCnbyVj7n/Q3U4wGIkdOhkadUfTpd9LiJpMkmlRKZTwWBSDCd3r9rWpNjtKWPUn0qWcpmhs508mvF8WqAY81ljc9fyipEbEB7QZYxuiWyNCEI0QopTZlU3mvFdLEmkoubs3/7/EX/UsTmtiaIMTQpxW/c4sRKVxWeKIvfRuFEsYAKotgrhL/4bLFBnSuNyYcNoa4LTE463niTSAO6wBsUMnoxjNABgiYokZdgcuRWYeECKkHLnorpOm79S86EU5IQlHCBE86ZkWlUJHwZPUmbgrnwFHHoRF4zRGyqC2GkbDgN60D3FXpYKzAMJjcagyH64QIWeLQrWEoTmL/mpTjSjhobu7J4QIjnTViUqjaTpOUzTOiCY4DZJI11S6ruA0x5Z8TpJIC1EjuEwxxI64G8VccpdIMZqJHX47bmtgaZYQomaRnmkhhBAixHRdxxXfjrhJz6AX5aDaIv+cAz40c/ULIYInybQQQghRA+i6jtMUA1F/lnbI3T0hagUp8xBCiLOkqJDv8JDv8BCiRT9FDaYqYHHn4Mo8gkHVzvwE4UdRIN8p3y9Rc0nPtBBCnAWHR+P7Xw8yd/kedB1G9G/OxX2ahDosUUOYtGK8238kc9UcdM2LvcsFWLqPxGWU6SiD4fBo/LjuEHN+3oOu6wzt15ThfZtiMxlCHZoQPtIzLYQQZ2H7/my+Wrobj1fHq+l8vWwPW/ZmhTosUUMox3eS+8vnJXPw6xoFG77Hu28tilK+LlZFUXB4NAqcniqKtGb642AuXyzZhcer4dV0vv1lH5t2Z1HOt0+IKiXJtBBCVJDRqLJic1pA+/KNR0IQjahpDAYVx74NAe1F237GqHiD3o+mw8a9WUz57wr+9vLPfLToDwqcwT+/tjIaVdZsD/x+/bzhMKoq6YuoOeRoFPWOoig4vRrFbg1Fle4NUXGaptOqUVRAe2qT6OoPRtQ4mqZhSmga0G5OaoW3HJffo9nFvPzZevIKXWg6/PTbIRas2o9Sx6/gXq9Oy+Qyvl+No9Fl7lVRg9Txr6IQ/ry6zvrdmTz85krufWUZc1fso8hd93t4RNXQNJ0+HRqQEG31tcVFWjmnY8MQRiVqCl0HU+NOGGOTfW1qWCS2zheglWMc4qHjBQFtS9cfoshZtwcz6rpO9zaJNIj9a4XW6AgLg7qmoGmSTIuaQwYg1hKKUjKQBTQ8Bnu9OZGU/t2KruMyhJ91b8ShjCJembXB93j2T7ux28yc3y25Qu+pooC3KA+zVoTHWH8+F/GXaJuJJ27ow5GMQnQgJT6ccLMMjhIlHOZYokc/jJ59CKMK3oiGOEzR5dpHlN0c0NYwPhyzse73h0XZjDx2Xe+S75eukxwfjt0iqYuoWeSIrAWMuFEObyZ32afoHhcRvS/D1KIvbkNYqEOrUkbdhXJoAznLZ4HmIaLvGNRmvXCrtjM/uQyKorB9X+DAsO9/PcCATkkYy1nyYcCLIW0rh5d+guYqJqLnJZhbD8BlCK9QfKL2CjcbaJ0cGeowRA3lNERAfDuiEiJIT88v9/ObJNpp0ySGHQeyATAaVK4Z1g5DPalSk++XqOkkma4FDNl7yZj3iu9xzpKPiLGEoTTtW6eX7FYzd5H53Ru+xzmL3yd2RDgk96jQ/nRdJy7KGtDeMC4Mo0HFpDtQdHCrlqDeV1PuAdK/ftH3OPfnT4k2WVBaDZZ6PiFEpQkzG7h7XBcOZxTicHpIjg8nLsJcp8//QtQmdf8eUS2nqgqO3b8FtBduWFiu0eC1jcGgUrxjVUB74cbFGM+iO6ZNkxi/+juTUeXy81piPrqe/C+fJPeLqRgPrMGoOU67H0VRcB3aFhjf+oUY9dM/VwghystmUmnVMIKOzWKItUsiLURNIj3TNZyugyEiPqDdEJmIVoeHcuu6jjEqIaDdGNWAsylLjrQaefTaXhw8XoDbo5GSYCfZc5CMb172bZM1/w3iRv4dkrqcNj5DeOAoc0NEPLpilGWAhRBCiHqi7mZjdYSu65ibdkYN+6teTDGYsPe8BK+37hbMaZqOpVVvVOtf9ceKyUJYlwvPepCf3WKkXeNoOjePJTHKStHWpQHbFG78/ow94MbkdhjssX81qEYi+o3Fo8vgMyGEEKK+kJ7pWsBhTSRu/FS86ftA82CIb4ozLKnO9346bQ2Iu+IfeDP2gaZhSGiK05ZEZd7f1HUdgz0moF2NiDvj2+swxxE77jGUrAO4ncUY45viDG9Y5z8XIYSoCoqqgI6MORG1jiTTtYTDHAcpcQC4oV4kbLoODks8pJSUubhLGyuRpulYU/tS8NtCdHdJrbNiMBHe5UIc3jO/lsMUS0LHpqSn5+OBevG5CCFEpVLgcGYxc5fvITvfybB+zWjfNAZzfZmuRNR6kkyLes8Z1pD4Cf/Ak7YTXdcwJbWWHmYhhKgmx3OdTHt3Fd4/S/h2HtzA7WM70ys1XgZailpBkmlR7+k6OGwNoHkDALwgibQQQlQDRYE/DmT7EulSX/20m66t4jFK57SoBWQAohBCiDMyGFQMBrlkiMql62AyBQ7atphVFEmkRS0hPdNCCCFOSVc0DjsPs+zAakyqkQFNepNkagi6ZDqicqQ2iibcaqTQ4fG1TRjSBpkXSdQWkkwLIYQ4pUPOQ0xf/prv8dL9q3hs4D00MDYMYVSiLom1m5h2U1/W70wnt8BJz7YNaBwfFuqwhAiaJNNCCCHKZDAoLNrtPw+7pmusOrSOMS0vxRvEjDdCnImuQ5zdzIXdG6EonPVaAkJUNymAE6iq3K4VQpRN17XANhmhK6qAruuSSItaSZLpesykFWFO24T3188wHlyNxZMb6pCEEDWI16tzUYvz/NoURaFPSg/plRZCiD9JmUc9ZVC8uDd+R/6v83xtlsbtsF98Ny7VFsLIhBA1SWNbI6b0v5Mf9y3HZDAyuGl/GpplHnYhhCglyXQ9ZXRkkbP2O78258HtROQdhegWIYpKCFHTKLqBxpYm3NjhKgA8Hk0SaSGEOIEk0/WV5oWyaiE1TxkbCyHqO48n8HwhhBBCkul6S7PFYW3ZHcfu33xthog4lKikEEYlhKhKHk3nUEYRB4/nEx9lpVlSJDZT5Q2dURSwFB/Hc2w3oGNMbIEzrCG6rAkthKjDJJmup9yYsA+6GnOD5hTvWIWlUTtsXS/CYYgMdWhCiCqgKLBq+3Hen7vV19a5VTy3je6ExVA5M/pYCo+SMesf6C5HyWsazcRPmIojLKVS9i+EEDWRJNP1mNMUg9LpUiI6DcWrGHFoMkVeXeZSHBwtTiPbkUO8LY4kawOMujnUYVUrRVGwFB/Dm3kAFBVDfFMc5rhQh1Ut8hwePln4u1/bpl0ZpGUV0TQh/Kz3r6oKjj9W+hJpAN3jonjzEoznXIPXK2UiovwUBY7nOjl4vACr2UCTBhHYLbI2oqhZJJmu53S9pJdaBhTVbZriYd6eRfywd7mv7fJ2lzA4ZRDUox9RlsJDZMx8Ct1dkvCpYZHEXf4YDmtiiCOrel6vjtPlDWh3uCpnnISqKrjzMgLaPbnHMdWfQ0xUsn3phTz1/hrf/NMpCXYeuqo7doukL6LmCLpYzuPx8N133/Hqq6+Sk5PDmjVryMrKqsrYRB2gA8fznGzck8WutHwcMoipSngVN0dch9mct5lDzgN4FJffv2e4M/0SaYDZv88n15tTjVGGlsEAhRsW+RJpAK0oD9ee31CUup/tRYaZ6N7G/0eDzWKkYezZ90pDyQBFW/sBAe3hnS+QwYtVwOLOwXxsM6aj67E6M6iLh7BXh08W/O63kMvh9AL2Hs0PYVRCBArqp93x48e57rrrSEtLw+FwMGrUKD744AM2bdrERx99RMuWLas6TlELKQrsOJTH8zPWUjr+qGtqPLeM7IjVKOsFVRpVY8XR1Xy29Rtf04jWF3BxkwtQ9ZKvuMPjCHiapms4PE6iTNUWaUipuo4360hAuyf3GCZVqfOLkKjAtcPakhBjY+XmozRrGMnEC1OJCjNSWeMDtbhWxF5yJ3m/fA6aRuQ5Y9AS21TOzoWP1ZVB1pfP4s3PBEAx24gf/ziOsOQQR1a5PJpGRk7guSuvyFXG1kKETlAZzfTp02nVqhWrVq3CYrEA8K9//YuOHTsyffr0Kg1Q1F4Ot8Y7X2/xu1Bv+CODwxmFoQuqDsr15jJr2zy/tnk7fyDbk+17HG+LI8Ji99sm2d6AWHNMtcRYE3h0hfAuFwa0W1v3qjf1vBFWI1cMbsn0287h7ss70yDKWmmJNIBHMeNp1JOocf8g6oon8TTth0e1Vt4L1GIqGs6juzEdXY8lexcmrbhC+1EUcO/f6EukAXRXMUUbFmKoY30UVqPKhX2aBLQ3T5KB8qJmCapnevXq1bz33nuYzX8NVrLb7dx3331MmjSpyoITtZvbq5OdH9irUFjsDkE0dVexuxitjDnDC93FxP05TiccOw/0m8ynW+awK2sfnRq05fK2IzDplmqONnR0HUjuSPR5V5O3+isUg5GoARPQ4urZnTWdKr0zpOvgUqy+1xIlA1+NaVs4/PVLlL4pYR0GYj1nEm6lfD82VFXBk3U0oN2dcRALGt7gqzdrPF2Hc7sk4/FoLFi1n8hwM9dd0p6GsfIDTdQsQSXTDocDkynwXrDL5ZL5Q8UphVsM9OmQxKotab42VVVoGF85NZqiRKw1hviwWDKK/hrDYDeHE2+N9T3WdYhTE7m96w24dCcWxYqi1b8R8W5DGGrbIcS26oOuKLhVu5zDRJUze/LI+v5dTvx1UbR1GWEdBpd7xVmvV8fSsjsFGxf7tYd3GoxHrzuJdKkws4GR/ZtxYc/GGFQFs1Gp1LspQlSGoL55/fv355133vG76OTn5/Piiy/Sp0+fKgtO1G4KMGFIKv07J6Mo0CDGxsPX9CQhsv70hlYHs2bjnt430ubPHtbm0U24v99kwhV7wLaqZsSqh9fLRLqUpuk4VTsuJVwSaVE9PE60oryAZs1RsYF0WlxLoofcgGoJQzGaiew3BrVJtzqbZOqajtWkYjJIIi1qJkUP4mqSlpbG1VdfTXFxMVlZWbRu3ZpDhw4RExPDBx98QOPGjasj1jJlZhb4jfStagkJEaSny0ji8tAVKHJ6MRlULHWwV6GmHBOa6sGhF2NRrBi0ejKqsAarKceFCD2T4qbw23/jPHTCPN+KSsJVz+CwVWzVWVVVMHnyUXQNlykSrX6U/dc5cp6oPVRVIS4usJMKgizzSEpK4ptvvmHevHls374dk8lEq1atGDlypG9AohCnougQbi7pCa1riXRNompGwoiQOlUhahi3biLqghvJ++l/OPZvxRARS8yFN+MKa1Dh72vpHZaSB5UXqxCi/IKe9dxmszFu3LiqjEUIIcRZUhQFsysTPS8DxWbHY0vAq8idilArtiTQYNwUijKOoxmtuAzhZ9W5YNYdKPlp6JoXIpNwqTIWRYhQCSqZPnjwIC+99BI7d+7E5Qqc33HhwoWVHpgQQojys+TuIWP2c75lvSPPGYuxw8V4lPq1dHxNZLCE/bV8/Vkk0hZPLvmL38F5YAsAxthkYkbei8McXwlRCiHKK6hk+qGHHuLYsWMMGzYMq1WmpBF1l6JAXrGHrHwn0XYz0WEmKU0RtYZZKyJ7wZu+RBogb8WXxDfpjCeyaQgjE5XJe3ibL5EG8GQdwbFtKWr3y6t1DJEQokRQyfS2bdv45JNP6NChQ1XHI0TIKIrCH4fzePGz33C6vBgNKndc3pkuLWKlDlnUCqq7CE/OsYB2rSALJJmuEwwGFdfRnQHtzv1bsHcbhUb9nalHiFAJamq8pk2bUlxcsdWaROVTFCggl6OuIxRRgKIooQ6pTsh3uPnPrPU4XV4APF6N17/YSHaBLF0ragfNEoEpMTBpNkQmhCAaUZkUBfKdHg4cL8CReiFqmP8qgLbWvfAqQQ+DEkJUoqC+eY8//jhPPfUU119/PY0aNUJV/XPw7t27V0lwogyKzrb87byz7v9wel2Em8O4q9f1NLE2lXKEs5RX6KLI4fFr83h1cgpcxIRLvamo+VxYiL7oVrK+/jfe/EwUg4no86/BbW8Y6tDE2VBg+8FcXv18I8VOD+FWI3+77EEarvgX3sJcLE07YWp9Dk4p8RAiJIJKpvfu3cvu3buZMmVKwL8pisL27dsrPTBRtlwth//++hHeP5ePLnQV8fqv/2PqwPuxIaO5z0ZkuJkwq9EvoTYaFGIiauf0j6qqkF/soaDYTZTdjM2kyg+uENLAd5cjxm6uskWfHWHJRF/xJEphJoolDJclHsmxQkNRoMilkVfowh5moqL3B3KLPLz02Xrcnj/P+w4PL329h3/d/DTx5KOFx+NEfvALESpBJdOvvPIKl19+OVdddRU2m62qYxKnkeXI8SXSpfJdheS58rGZJJk+GxFWE3+b0I2XPl1PsdOD2ahyx+VdiA431cqa6W0Hcnj9i40UOjzERlr5+4RuNIqzSUIdAkUuL7N+3MnPG44AMKhrMuPOb+2bf72yudRwiPjzfCCfd0goChzMKOLFz9aTk+8k3FZyfmmZZC/3Z5Kd7/Al0qWKHB4yHQZsccmVGLUQoiKCSqYLCgq46aabaNSoUVXHI84g2hKJoih+yyCHmWxEmMpelUcET9d1WjeMZPpt55BT4CQy3ExUWO1JpEt7oh1uLyajyn9mrsfpLrkAZ+U5ePHT33j6lr7YTDJAqTopCmzak+lLpAF+3nCEtk1j6dc+MegfN6qqYHLlgLsY3RqDS6mdd0zqiyKXl39/+hu5f96NKCx28/zHa3n+jv5E2co373eU3YLRoODx/nWwWM0GIqX8TIgaIag7jeeffz6LFy+u6lhEEKINMdzYdQIGpeSjMxlMTO55NeFKRIgjqxt0XSfCaqRxfHjJBa+WJNKaDut2ZvDgG7/wwGvLeWXWRiYNbYd6wtjU7HwnuYXu0AVZTxkMKr9uC5xhY/W2YxgMwRV7qHgxHFpL1icPk/HxFPK+fgabI3CfoubIKXD5EulSbo9GRq7jFM84tZhwE7eP7YLRUPKFNhlV7hzXhSibDDgUoiYI6puYnJzMv//9bxYtWkTTpk0xGv2f9tRTT1VJcCKQoqt0i+1C83ObkufMI8YWTYQS5ddTLeoPE25UZy4Hi228+vlGX/ueI7mYzSo92jbg1+0lSVeY1Yg9hBdfRVEocnlwuTUiwkxVVjNc03i9Ou2bx7H+j3S/9o4t4oKeE9hceIz0ea9R+uvOfXw/OYvfwz7iftxSK1sj2W0mrGYDjj9nBwJQFYi2V+COgg5dW8by3B0DyClwEhthIcomc+ALUVMEdWXdsGEDXbt2BeDQoUNVGY8Ihq4SrcYSbYv983FowxGhYXNlkPvD+zgPbuNI7wcD/v33fdmMH5LKr9uPYTQo3DG2C5E2U0gWddB0na37snn3my3kF7np0iqe6y5pXy961nRdp1e7RJZvPMz+tHwAmiZF0KttYtCfhTfvGCd/0V1H/sDgysdduqKeqFEibUbuuLwLL3+2Hq+moyhw02WdiLVXcGl3HWLCTMSEydLwQtQ0QV3JPv7446qOQ4gzUhRwuDXcXg271Vivf0SYFDd5P32I8+A2ACKMgeUbSbFh9G3fgJbJUcRHW4kND00iDXA818lLn633Pd64K4NPF+/g1ks7UB9mSY+0GplydQ/Sskrm60+KtWEJssQDQLVFBbQZIuPRjTIgvKbSdejQNJrn7xhARq6DmAgzLRvHkJtTFOrQhBCVLOhuoaysLPbu3YumlQxo0nUdl8vF5s2bue2226osQCGgpGdz+4Fc3vtmK7mFTgZ0Sebywa2IsNT9ns2yGFz5OPZt9j1OSF/L+Z168OPmLKCkpvLWMZ2IDjMR/WdPVihvCadlBSYQv247xtUXt62yGS1qGotBpWlCxWbc8UYlY+96EQUbFpU0qEZiLroFlyGsXv+orPH0knrnmPCS76BZBv8KUScFlYnMmTOHJ554ApfL5ZtJonTVvSZNmkgyXc8oChS7NFAgzGyolt7OY7kO/v1/v/keL9twBIvJwJVDWtfLZEI3WDFExOHNzwRA2bmMy1q4Of/6ceR7jDSICSMmvObUVEaGBdb1JsWGYTbWl8rps+NRrJh6jSW+bX90Rz5qVAOc1vga8/kKIUR9FtSV7M0332TUqFF8//33REZGMnv2bN5++20aNmzIrbfeWtUxihrE6dH4ccMR7n99OVP+u4IV247hroZk+kh6YUDbz+sPU+TSyti67nMZwoi5+BZQ/voKh1kMNE2w0SYliuiwmpNIA6TEh9GnQwPfY6NB4ZZRnTCp9aHIo3J4FAvOyKa4EjvisCSg6/LeCSFETRBUz/ShQ4f473//S+PGjWnbti3Hjx/nvPPO49FHH+XVV19lzJgxVR2nqCG27cvm4/m/+x6/PWcLD13dgzYpgTWdlclexqCbpPhwzOWoO61LdB1csakkXP0s3pw0VKsdLTIFt2oNdWhlshhVrhvejov7NqWo2ENSXBixdnO9vKsghBCibgkqE7HZbKhqyaZNmzbljz/+AKBdu3bs37+/6qITNYpqUPhh7cGA9lVb0oKeL7eimiRG0K55jO+xQVW4/pL21OcqAR0Fh7UB7qQuOKNb1thEupTFoNIswU77JtHEhksiLYQQom4IKhXp1q0b7733Hk6nk/bt27NkyRIANm7cSHi4LGFdb+iQnBhOdISFS3slcF6nOExGleQEe5XPc20zqdw5tguPXtuLv13RlWdv70/TxFMfe6qq4FGdaAbvKbcR4mQ64PRqvjEhQgghxJkEVeZx7733cuONN9KkSRMmTJjAW2+9RZ8+fSgsLOSaa64p1wsWFBQwYcIE3nzzTRo1asTDDz/MunXrsNlKpni68847ufDCC8v/l4gqp2k6l/dN5NLY3Rh3zAFLBJeOGok5Jb5aBiHajCotG56w0uMpXtKhFLM2bT3f7/mZKGsE49qNoLG1CUiNqTgFRYFjuU4+/3Ene4/k0b9zQ4b0alxvZ4sRQggRvKCuFG3btmXx4sUUFxdjt9uZOXMm8+bNo2HDhgwbNizoF9u4cSOPPfYY+/bt87Vt2bKFGTNmkJiYWO7gRXCMioaie/AolrPqQVYUBdvR9TjXfIYHgHSMP/6HuInTcNC0ssI9K6qq8OvRdXy29RsAMoqyeG7FGzwx8O8kGpNCHJ2oqXKLPTz5/mqKHCVH9tzlezmWXcQtl3aoNys1CiGEqJigrxM2m43Y2JIV9xITE7nhhhvKlUgDzJo1i6lTp/oS56KiIo4cOcLjjz/OpZdeyiuvvOKbx1qcPUXRsebto3jRf8j/8h+ou5di9gbOihEsk+agYN38k1p1XEf+oKbcFXdSzMLdS/3adF1nX25grbcQpY5mFPoS6VJrth4jryhwMRwhhBDiREH3TJ+qhtBkMpGUlMTIkSO5/fbbfQMVy/LPf/7T73FmZiZ9+/blySefJCwsjFtvvZUvvviC8ePHB/0HxMXZg962siQkRJx5oxrAcWQXR2Y9DVpJkpCz+H1iz3eT0G9UhfbndRrJD4uEnGN+7aawCCLja8Z7UugyYLeEk+3I9Wu3W8Kq9HOrLceEKNuhP1cmPJHFZMAebiYhvuLnmPIcF5q3JHFXDbJcdEVobieKwYii1uyFUeRcIU4mx0TtF1Qy/fDDD/PSSy8xceJEevToAZSUbMyYMYMJEyYQExPDhx9+iNFoZPLkyUG/eOPGjXn99dd9j6+++mrmzJlTrmQ6M7OgWpdITkiIID09v9pe72wYD+/yJdKlclfPRW3RD6caVqF9RvUfT/oXz4JecgfBEB4Fia1q1HtyRfuR/HvlW+h/FlXH2qJpbG9UZTHWpmNClC0h0kK75jFs35vta5twUSomRa/wZxvscWHAgzFjJwVr5wFg73UpnrhWeINfoLZeM3sL8O7/jaItSzDFNyG828U4wpJr1DzrpeRcIU4mx0TtoarKKTtwgzpbz507l8cee4zLL7/c1zZkyBBatmzJp59+ysyZM0lNTeXpp58uVzK9Y8cO9u3bx8UXXwyU3I43GuUCUlkUkyWwzWxDVyrec+OKbUnCxH/gPvoHiiUcQ1IrnOb4swmz0jULa8ZjA+9hd/Y+7OZwWkQ3I4KqnQdb1G4Wo8odYzqz90g+aVmFtEiJonF8eOlvxiplzN5DxuznfI8dB7YSP+5RvDGtq/7FazlVAdeW78lf/TUArrS9FO38lbiJT+E0x4U4OiFEfRFUzfQff/xBr169Atq7devG9u3bAWjTpg3Hjx8v14vrus4zzzxDbm4ubrebmTNnykwelciQ0BxDeLRfW9SgibjVwCQ7WJqu4rA3Rku9AE+TvjUukQZQdJUkUzIDGpxDl+gukkiLoISZDHRoGs2Q7ik0T7RjrIbVGY1GlcKNPwS0F21ZgrE+T6IeJJMnl/y13/q16c4itKxDIYpICFEfBdUN3Lx5c7755hvuuusuv/a5c+fSqFEjAHbt2kVCQkK5Xrxt27bccsstTJw4EY/Hw0UXXcSIESPKtQ9xag5zHLHjHsN9aBtaYQ7mJh3xRDWtlNufNfEW6slqQ4yicimKgsGg4PFUvEu5Oo8bXQfVYgtoV01WOX6DoqIYTOhe/3I25TRjd4QQorIFPc/07bffzpo1a+jatSuaprFp0yZ+++03/vOf/7Bjxw4eeOABrrrqqqBe9Mcff/T9/0mTJjFp0qSKRS/OyGGOR2k5CEVRcFZjbbkQ1c3iysS9+1ccR3dibd0bNbkDLkP1D1AuD69XI6zjYAq3/Owbh4BqwNbxPBxemdnoTNymSKIGjCfnxw99bYaoBJTYxiGMSghR3yh6kBMPb9u2jY8++oitW7diNBpp06YN119/PW3atGHz5s1s27aNK664oqrjDSADEEWoheKYMBhUNE2v8pUnawuLN5+c2f/Ek53ma7P3GIax5zi8emh6KYM9LhR0LAWHcOxeC4qCtUUPnPZG6NSQ+SZrOKPmQM3cjXPPeoxxyRibdK6R5Wcg1w8RSI6J2uN0AxCDTqZrKkmmRahV5zFh1J2omXtw7PoVY3QDzM264bDKgkfmzB1kfvmsf6OiknDNv3BYQjMQrbzHhfpnjXZ1ns/qEoNB+fMHZqgjOTW5foiTyTFRe5z1bB4idFRVQddr9gVCVA9FUVAO/Ebmgrd8berab4kbPxVHvZ+5oOwviH6qNefLoKpKSBNZSaLPjtcr758QIjQkma6hNOBwRhEbdqYTZbfQqWUcMWGymEN9ZtIKyVk2069NK8pDyzwADet3Mq1EJ2OMSsCTm+5rs3e5AI819lR5tk+xW2P3kVz+OJBNy5RoWjeKIsxcsxf+EEIIUXNIMl1D7Tycx3Mfr/U9jggz8Y+b+hJdRkKtKGc3A8HZPl9UD0XX0b2By1vrmjcE0dQsTkMkMaMfwvnHClyHdmBrew5qo864yqiXPvF413T44qddLFn311RqfTokceMl7aplajwhhBC1X1Ajc15++WUOHz5c1bGIP3l1+HTRDr+2/CI3uw77L5GtA0ezi/lx/RFW/36c7KLAROt0VLxY8/ej/L4I477lWJ0ZZxu6qEJuo53IvqP82hSTFUNck9AEVMM4zPEonS8j7NIpeJv3x2X0X6JXVXSsBQdRdnyPYe8yrM7jZBe6/BJpgNVb00jPc1Zn6EIIIWqxoHqmP/74Y8aOHVvVsYg/aZpOscsT0O50+fdAHkgv5Kn3V1NaahkZbmbqjX2CLgcxZe0i/YvplN4HV8MiiR33BE5LzRwJX99pmo6pVX9ibZEUblyMIaYh4d0uxmlrILcW/qRpOtopeurNOXtIn/VP3xR0qjWcuDGPlbmtV6alE0IIEaSgeqb79+/P559/jsvlqup4BGA2qlw2sKVfm0FVaN3or5X8dAVm/bCTE8cs5RW62L4/K6jXMClu8pZ/zokFpVpRHt60P84q9pMZ8GDJ24dh90+Y0zZi8eSe+UnilNxqGJ4mfQgf+QjmQTfgCEs5q+nxilxeth3I4ZetaRzMLMJbB5NyRYEwTxb5q77ixPXBNUch6tHtdGrlX2/eKMFOQpS1usMUQghRSwXVM52Tk8Pbb7/Nu+++S0JCAlar/4Vm4cKFVRJcfaXrOj1S47GM7cy3K/YRG2lh9LmtSDzhAq9pkF8U+OOmsNiDoihnTLAU3YtWnBf42s6iSquhVhQF9dAGMr59zddmTmpBxCV/x2WIOM0zxenoOrj1s6/nLXZrvPLFRv44kONru2tcF7q3iq9T81dbitLI/+1bvEVlHO+OAm4ZeS6L1x5k3e/H6dI6niE9G2ORpbyFEEIEKahkunfv3vTu3buqYxEnsBhVeqbG0z01HoXA7NaowiX9m/PWV5t9bYoC7ZvFBpUIuRUb9p7Dyfnhf381KirGhqk4y5FHFbm9HDpeQH6Rm4bx4TSMtqH8meeZvQVknbAyGYArbQ9kH4T49sG/iKgSRzIK/RJpgA/mbaPt7f2xmepGMqmqCo6dq3HsWkdkz2HkpB/w+3dL007oZgOjBjRnxDnNMAbxQ7Q8XF6NQxlFZOc5iI+2kRwXhkkGNgohRJ0SVDJ95513VnUcogy6zp9roAVe3HUduraM49ZRnfhm2R4iwkyMH5JKcqwtyH3rGJr3JvoChYJ132EIjyLynHG4IhudcSqxUg6PxptfbWHLnkxf270Tu9Hpz4Re0dxojsLA13bJ4K6aoNgVWFtc5HDj8WpQR5JpRVHw5qWjOYtwZRwi+pzRFGxfhWq2EjXwClyRJYM3dU3HAJWaSBc7PcxZvpcFK/f72q4YkspFPRvJ2oZCCFGHBD013v79+3n//ffZs2cPL7zwAosXL6ZVq1b06dOnKuOrl8xaEeQcRC/OxxCVhMveEI3AeW8tRpW+7RLpkZqAqgZZAH8ClxqG0uo8olr2RVcMOHRj0Ik0wOGMQr9EGuC9uVt5dvI5WI0qbnMk4R3PpXDzkr82MBgxxCZTvnlHRFVIiQ/DZFRxe/6qIx7YNYUIW/mOg5rM69Wwte1P0bblFO1YjcNmx9aiK+EdB1Mc1fLMOzgLB4/l+yXSAJ//uJNe7RKJDTdX6WsLIYSoPkHlXxs3bmTkyJEcPHiQ9evX43K52LVrFzfccANLliw58w5E0ExaMUVL/0fmF8+S9e1rpP/fYxiPbkZRyu7L0nUdYwUS6ROf78KCWy//lONFjsAZR/IKXbj/nAnBq6nYeo0iotcIVFsElpQ2JIx7rGT2CRFysfaS2V/aNYshMtzMJf2bM/a8VnUmkS6lxbUk9pI7MUY3QDFZMae0wx2ZUuWvW1zG90PT9IBZeYQQQtRuQWVQL7zwArfccgt33HEH3bp1A2Dq1KlERkby6quvMnjw4CoNsj5Rcw9TvHONX1v24veIvfIZnDVg0J6igMWZiTfrMI0iG2E0KHhOWMb3nE7J2K1/9Ww6jVGo3S8npsswdNWMA1OdS9ZqK12H5Bgb907ohturYTMa6tTAw1IexYzSqCdR4zuCDm7VVi1/Z8P4cKLsZnIL/hoonBwfTlzkmWcKsXjz0bMOomteDDEpOC2xMvuhEELUUEEl09u2bePpp58OaL/88sv58MMPy3iGqCjNGVhjrBXng8cJNSCZthQcImPW0+huB+aIeB4ZcwcfLsvgaEYhA7qmcNnA5ignXfQ1HVxqeGgCFmdkAAwGtU4m0qV0HVxYSwYhVNPfmRgbxiPX9uKj+b+zY382nVvHM+nCNpgNp6+YtrqzyJ7zLzzZR4E/58Me9xgOW8PqCFsIIUQ5BZVM22w2MjMzadq0qV/73r17sdvtVRJYfWWITgLVACcsPGFt2gmXNZxDjoMUe4ppEJZIlBpT7cmPUdHIX/klutsBgJafQfzSZ3li9KM47I0JM9fNnk0hKiohwsLfxnXB5dGwmNQzlmMpCrgPbvEl0lAyH3bR+oWYBlyHrCUjhBA1T1CltiNGjODZZ59l9+7dKIqC0+lk5cqVPPXUUwwdOrSqY6xXnLZE4sdOwRhdUldsa9WT8POv5v3tX/LsL6/y8up3mfrzvzjqqv7l3VXNiTvjoF+b7nFhOLpNEmkhTsGggC2IRBpKZh/xZB4KaHcf34uK1FoLIURNFFQyfe+995KSksIll1xCUVERl156KTfccAOdOnXivvvuq+oY6xVdV3DGtCZq3DSSrv4n4e3PQSnIpHd0UwxKycfl8rr5ePOXeNTqnRPDrdoI7zAooN3UsNUpE2mzVoglexfmrJ1YtIKqDlGIU1IUsLoyMWdsx5J/EKN+9iu6GnFjKTiEOX0bVmcGygk1Tp7cDMxZf2DJ2V0yQ08QNE3H0qxLQHtYh0F4KjBIuL5wKIXsd+zjkPMgLsUR6nCEEPVMUGdns9nMyy+/zIEDB9i2bRsmk4nWrVvTpEmTqo6vXlIUBTV9N2lfvwxayYwAHbpfzJSO4/jn5pkAHMo7ilt3YcRUbXHpOljaDSI8P5PCrctQTBaiB03EG920zO2trixyvn0Z958LZRhjU4geeS9Oc1yZ2wtRlSw5e8j4cjq6pySJtncfiqnHKDxKxZYON+LGs/k7sld+VdJgMBI/6n5c8W2xONI5/OlzePMzADAntyZy6B04jdFn3K8W15Lo8yaR+8sX6F4P9q5DMDTvXSeXeq8MuXo2L658i4ziLABaxzbj5q5XE07ox5gIIeqHoLs6NE3j4MGDHD16FEVRiIyMlGS6ipg9eWQufNuXSAPk/7aQJsmtSAiPI70wk57JnbEpYdU+M4bTGI2p/7Uk9LoMXTHiNkehaYFBKIqCa+86XyIN4Mk6jHvXatSOl5T5nPrK6dU4ll2MQVVIjLJhOsMANVF+Zr2Y7IVv+xJpgILfFhDfujeeqBYV2qch/+hfiTSA10P2wjeJvfIZijf/4EukAVxHduI9vB2lWb8zjn/0qFbUthcS16I3iq7hNkfjqoTl4+siRYWf9q7wJdIAO7P28Xv2TnrGdpcZUESdUlxcSEFBDl5v4LSbovIZDEbs9mhstjNPoBBUMp2WlsZNN93Erl27iI2Nxev1kpubS5cuXXjrrbeIjo4+25jFCRR3EVpRXuA/FOTQMDyOhLBYRqUOBS00F1ivruI1xZY8OEVSbDAoOA5tD2h3HthKWJdL0TSp/wTILXbz4mfrOXispASmY4s4br2sI+GWwEV6RMWp7mI8OWkB7VphDkRVbJ9aUU5Am7cgB8XjwFXGse9O242xxTl4vWfO8DStZFpJQKaSPA1d0diRuSugfW/OAXrH9wjqvRaiNiguLiQ/P5vo6ARMJvMp154QlUPXddxuFzk56QBnTKiDqpmeNm0adrud77//nhUrVrB69Wrmz5+Pruv885//PPuohR/NEokxJsm/UVExxjXkyg6Xc1uX64kgOiSxBcvr1bC26hXQbkvtg8cjiTSAqsLPG474EmmALXsy2bY/i/pwnlQVDYsjHXPOHizunCq9OHjNdszJqQHthsiECu9TjUiAkxYGN8WnoJnt2FL7BmxvadpRkrtKpuoGeid3C2jvEN8mqPdaURQKyeeQ8yA5WhYoMl2KqJkKCnKIjk7AbLZIIl0NFEXBbLYQHZ1AQUHOGbcPKplevXo106ZNo3Hjxr625s2b8/jjj8sKiFXApdiIG347xqiSC71iCSN2yLUQ04QIJRpVq/kDkXQd1JSOhHceTGnCEd5+IGqTrnLr9U86Cpt2ZwS0/74/G1Wt6JqWtYMBL+qeFWTMmELmrCfJ/L9HsGTvrLIfEW7MRA+5EVNcycqHislC7NDJuO0Vn7vZHZZI7Ii7UMw2AIzRDYgeegdOzYwptR+21N4lGyoq9h7DIKH1Wf8dwp+m6fRK6kaPhp2BkgvgxS3PpUVkszM+V1HgkPMg05a9wLO/vMoTS59nTeY6dEV+7Iuax+v1YDKZQx1GvWMymYMqqwkqK4uJiSEnJyeg3ePxEB4ui3FUhaLwJsSMn4pSkI5isuIOT8ThLbn1ryiQW+whv8hFtN2C3WIIeYKqKJBX7CGvyEV0uAW71YjLGIG531XYug4DwGuLw6VL+UIpBejTPondh3L92ju1jMcbwgmFXYqDbFc2VqOVKEN0lZQTGYuOkfH9e5TWMOjOIrK+e42YK57GaaiaueuLrQ2IHPMYSlE2mG24zDFn9b3RMECjHsRd1QKchRAWi0MpSaydxmgSL7uHwrRDoKh4bHG49Lr9AylUwongug4TGdVmGAZFJcoQBdqZ32sHxby57iOK3MUAeHWNDzd8TotzmxJvSKzqsIUoN+mRrn7BvudBJdMPPfQQU6dO5ZFHHqFnz56YTCY2b97MP/7xD6677jqOHTvm27ZBgwYVi1gEcCh2iPgzsSjtLFFgy/4cXvtiI06XF7vNxH1XdqdZYnjoEmoFth/M5ZVZG3C4vIRbjfx9YndaJkXg0Q14rH9emKRH2o+m6fTp0ICtezPZuLOkh/q87o1o06iCRbyVIFvP5JXV73G8MANVURnb/hIGJPXFqFfurDF6QRYnHxDeghxw5kNY1S0E5VJsEG77M4iz35+m6SUzdJQxS4fBbMVpa1BpryVOTdUMxKp/zhIU5O/QQk8hWcU5Ae1ZxTnE2yWZFkIEL6hk+t5778Xr9XLrrbf6Zem6rvPcc8/x/PPPo+s6iqKwfXvgwBtxZkbFg6EoExTwWuPwnOKjyS5085+Z6/H8WQ9YUOzmpc/W88yt/Qgzh6bXN7eoJAa3p+QqVujw8NKnv/Hsbedgt9T8kpRQirAYuXNMZzLzHRhUlRi7Objaqyqgqx4+3fgVxwtLEntN1/h861xaxzQnxdyoUl9Lscfx59revjaDPQaskZX6OkKcSrgpnDhbDJnF2X7tsbaYEEUkRN1w+eWXkpWVhcHgfzV79NFpnHfeBSGKqmy//LKMl156ni++mHtW+wkq0/nggw/O6kXE6Zk9eRSvmkXRtuUAhHcYhLXP5biMgYlFVp7Dl0iXyit0kVvoIuzP2s3qlpXn9CXSpQodHnILXJJMB8GgQGJkxeY6rkwO3cG29J0B7ZlFWZWeTLvDEom5+Cayv/8ANA+qNZzYS+7EaQiXXlxRLay6jck9r+blVe9S6C7CoBq4pvPlxBlj5RgU4iw99dR0+vcfGOowqk1QmU7v3r2rOo56S1FAO7DRl0gDFG79GXNKG5Tm/QNKN6LtFrq3imZQKwseHb7bVMixbAeRYaEbmBAdYcGgKnhPmCbPajYQGV59MWlATqELk0ElMsyELvNYl5tZsdIqtik7s/b5tcdYK7/sRMMAzc4h/upU9OICFHssTlO0LEkvqo2uQ4q5EdMG3k+2Mwe7OZwoNRpkTm9RB63cmsbspbvJzHMSF2lhzLkt6dch6cxPrGS//rqKN998nYMHD5CcnMKtt95Ov34DABgwoCejR4/j++8XMH78RBYtWsBnn80G4K23Xue7777h668XAvDxxx+wf/8+HnvsH3z++WfMnfsVx46lYTZbGDVqLDfeeGvAPidNuobx46/k5Zf/xY8/fk9kZBSDBg2ulL9Lug1DzGAwULxrdUC7Y9darK0G4jmpx7ehtZhbE9biWLMSVJW/dRyKu80F2K3GkCUi0WEmbh/bmTe+3IRX0zEZVe4a15VIm7Fa6rjzHB4+nL+d9TvSMRtVJlzUhv4dkzCpclEsD4Nm5KpOY3lh1VvkO0um6xvaajBJtoZV0lOn6QpOSwJY/pyeThJpUc10HcKwE2b5s05fDkFRB63cmsaH83/H9Wc+kZnn5MP5vwNUa0K9Z89uHnroPqZOfYr+/Qfx66+rePzxKbz11v9o2bIVAC6Xk7lzF+F0Opkx43+kpaWRlJTEunW/UlBQwP79+2jatBmrVq3g8suvYOPG9Xz00fu88ca7NG7chI0b13Pnnbdw8cXDadSosd8+3W4X7777Jnv37mHmzK9xuZw88MA9lfK3STIdYpqmYWnUAce+LX7t5sbtA+ZJVVUFz65VOHas+PPJXvRN39KgWRtcemxQr6eqCiZXLormxmOOOmVtdnkoQNeWcTx/R39yClzERFiIDjNVS26kqLBg1X7W7yiZWN3l0fjou+00TYqgeWLVDWQ7HTNOFGc+mMJwGcJqVY6YYGzAEwPuJaM4C5vRSpw5tlZMxSiEEKJss5fu9iXSpVwejdlLd1dZMj1t2iMYDH+N4xow4FwaNEiiZ8/enHvu+QD06zeA/v0HsWjRfG677S4Ahgy5CJPJhMlkomvXHqxdu5rBgy8gLe0oAwacy/r1a4mNjWPHju306dMPVTXw3nsfk5jYgKysTNxuNxaLhYyMdF8yfeI+f/hhEffe+6BvscFJk67l7bffOOu/V66SIaZpOtZWfTD9vgJ3xkEATAlNMDfvgeOkLMyAh4LfVwTsw7l/E8aULmdcpMCIG/auIfOnT9CdRdhS+2DvPwGH6ewH3ChATLiZmGos7QBwuDRWbjka0L4/LZ8WDezVnsjaio+SvfAt3Mf3YYiMJ3boZJwxrWpNQl3aU9fE+ucPEVnDQggharXMPGe52ivDtGnPBNRMP//8P0lK8k/ek5Iakp5+3Pc4Njbe9//79x/A2rVriI6OoVOnznTr1oP169cSGRlNx46dCQsLx+l08r//vcvSpT8SExNLmzbtgJKOyrL2mZWVSXz8X7P1JCVVfK2BE0kyXQM4zLFEjpqCknsUFAU9MgmHGjh/t1c3YE5OxXV8v1+7qUEzv3rlUzHkHiRj4Tu+x8V/rMYQHoWhz0S0IOcS1pWSwYUmo4rVqIY8STQZVZonR7Hhj3S/9sQYW7XHZtGLyJr7Mp6ckqkivXkZZMx+nvirnsVhjqveYGoxRVEocHhQVYUws+GU5UsmxYPBlY9mtJZMeSeEECJAXKSlzMQ5LtJSrXE0aJDE1q2b/dqOHj1CQsJfye2J0zr36zeADz98n7i4OLp160GPHr14//23sVisnHNOSaI+c+Yn7N27m5kzv8Zut+PxePjxx+/9XuPEfcbHJ3Ds2FHati1JutPT/XOHigpqFi6Xy8Ubb7zB/v0lSdwjjzxCt27duO6668jMzKyUQOo7lxqOM6YVzuiWuMpIpAE0HWydh2CwR/vaTInNMaR0CCpx9GQeCmgr2r4Ck6coqBjzHR7enbede17+mUffWsXvh/KCel5VUoEJQ1IJt/71u7BL63iaNYio/mCKsn2JdCnd40LLO36KJ4iTFbq8fPrjTu75z89M+e8vrNuZgbeMg9vqPE7h/JdI/+Dv5H7xJNbcPfViCXYhhCivMee2xGz0T/fMRpUx57as1jguuOAifvttLUuX/ojX62Xlyl9Yvvxnhgy5qMztk5NTiIyMYsGCb+nevSeNGzfBaDTy44/f+3q9CwsLMRpNmExGioqKeO21l3G73adctfDii4fzv/+9S0ZGOpmZGXzyyf8q5W8LKpl+/vnn+eSTTygqKmLJkiV8/fXX3HHHHbjdbp599tlKCUQEx2FtQMz4fxA35iHiLn+EyJH34wyyTMMQHridKb4RmhpEaYYCX/y0i5Wbj6LrJVP0PT9jLcdyHeX9EypdgygLz0w+hynX9GTqjX24bVTHqptzW4Fit4a7rDsB5jAUU+AvfcUmcycHQ1Vh6YbDLFp9AE3TyS9y89oXGzmc6f9jz4yT3Pn/xXlgKwCe7KNkfDkdszNwaXYhhKjv+nVI4tphbX090XGRFq4d1rbaZ/No1Kgxzz77Ah9++B5Dhw7mjTf+w9SpT9OuXYdTPuecc/qjKCrNm5ck/t279yQpqSEpKSXTtU6YMAmDwcCIERcxceJoXC4nnTp1Yd++fWXu7/rrb6ZLl+5cddV4brrpGnr27FMpf5uiBzEFxIABA/j3v/9Nnz59ePTRR0lLS+O9995j+/btXHfddaxeHTgbRXXJzCxAq8Zp0BISIkhPz6+216tMZk8+Bd//F+fBbQAoRjPx4x/DYW9yxucWubzc/dJSTn6r7x7fla4tghv8WNsVOD18s3wvP/12mIRoKzeM7EDLpAgS4kuOCUUB44HVZM3/r+85EX0uw9hlBB4qdwXBusjl1XjkrVVk5fn/QLt6aFvO75bsu/tiKUojY8aUgOfHjX4AV8KpT8rVrTafK0TVkGNCnCzYYyItbT9JSU2rISJxstL3XlUV4uLKntggqJrp/Px8mjYt+RB/+eUXrr32WgDsdjsul6uSwhVVzWWMwH7xHdhzDqO7HBhiknFaE4KaksxkVEmMCSMty7+X0G6rJ2X3isLXy/fyw68lg0SPZhbx7P9+5dnb+pMQX1JSouugNe5J/KR/ouWlo4ZH441oGJBIqyqYPIVoqhE31VuzVl5ewO3RsJlOXbtcWUwGleSE8IBkOjbK6n+ImqwoZiu6y387xRKa2VuEEELUb0GVebRo0YJly5axdOlS0tLSGDRoEABffPEFrVq1qtIAReVyqeG4YlNxJ3XGYYkPOkEyqQo3XdYB9YS5mzu3iqdRfP1IYIpcHn5a519zrulwOKPAr82LAWd4Cu6GXXFGNsOj+CfLFk8e2oY5ZH3yEPlf/RNL1h+oSg2c6kOBg5lFPDdjHQ+8/gtfLttDodNb1S/JxCGpfrV9zRpG0DLZf9EYlzmamAuu92sL73w+3ojqX4BACCGECKpb8Z577uGuu+7C4/EwfPhwWrZsyfTp0/nkk094442zn59P1A4tkiJ49rZzOJpRSLjNREp8OFZjUL/Haj2jqhIbZSU9u9ivPdwafPmGqoJz6w/kr/4aAK24gIwvp5Nw5VM4wlMqNd6zlZnv4qn3V/uWrp+3fC8Op4dJQ1KrtIc6OTaMZ247hyPphZhNBhon2rGZ/I+xkjsAPUi48im8ucdRwiLRoxrhVsru5VdVBZO3CI9RxakrmHRzyGehEUIIUXcElUyfd955/Pzzz6SlpdGuXcl0IiNGjGDixIm+8g9RD+iQEGEhIaJmlyZUBYtR4aZLOzL94199iVibJjE0Sgi+Z97kLiBzg/+UPega3syDUMOS6cPphb5EutSP6w5x2cAWhFfV4E5A13Viw83EnmG+ci9GvPbGYG982u3M3nzc238he+Ni1IhYnD0u4Jg9ihYRLTDq1TsnuhBCiLopqGT6ggsu4Msvv/Ql0gAdO3bk+PHj9OvXj5UrV1ZZgOIEqo6GF4Nuqp6lwxUFr65jVGSlZ12H1skR/HPynz3zViONyug1Pe0+VCPG8GjcTv+6c8Vc8+ZItlkCE+bIcDMGQ+2Zf05Vwb3pR/JWfQWUzPutHt2NcejV7FEUUsPbhDhCIYQQdcEpk+mlS5eyeXPJ5NqHDx/m7bffJiwszG+bffv24fVWbR2lKJlwPM19lLk7v+d4QQbnN+9P14ROWPWwMz+5Qi8IhzOLmf3TLjJyHQzr15SureLrTUnH6SRFWUmKslbouS7FStTgq8n48nmg5NfJ/7N33/FtVefjxz/nXu1hyZa8R/bek4QEQtibUjYUWuDL6oROShktLZTS+WtpSwuFtuy9U/YMEAgkZJI9HSfekm3tO35/KFGiyEmcxDM579erw0d3SbmyHx0953ksBeWIYP/Ou8BOUlHoZlC5j7VbwpmxK04fhbMXNOrpKKvWSuOCV7MHDZ1ALMajobmMGD8cXesjT0aSJEnqtfYYTFdUVHDnnXdmZkBfe+21rD7rQgjcbjc333xz11/lYa5Jb+TXc/9CykgXIX9o8TNERkQ5oXw2Rhe0e64LJ/j5/fMyXRX/+fxSvn7aCGaPKzuoMoQW1QTTRDMO36A8FRhG8OLb0Rs2otjdiOAAEhbfvnfsZk6ryvUXjGfjtlZaokkqi7yUFux/V0khwCIMDBT0bm5NbgoLqsODlszOc9cUlQKHP93OExlMS5IkSQdnj8H0oEGDeO211wC49NJLueeee/D5et8f/cPBlratmUB6h/+tfocZ5UfgoPNnp9dvbclpT/7i++uYNrIE+wF8za+iYWlaS9v8lwETz6TT0IJD0A/DbvYGCokO5Pr2Bm6bysgq/wHvbzWimJsX0bb4TSz+EtwTTyHhqeyeFCUgpTjxzb6Uxhf+kBlTfEWst5jMrpiB3t3RvSRJknRI6lA089BDD3X1dUh7YVFy/5kcVjtKxyob7jd7O+kcLrsFVTmwfFlLaAMNT+/slBnfuJTguTehFww94GuUejdFERirPiL07sMAJLeuJbZ6PsGLf0ncUdwp57BYFEzTRNfbD85NE/TikQQvvI3k1pVoDheRghIGuPIJWgr7TLqKJB3q9vVelqTerkPB9Lp16/jVr37FwoULSaVSOY8vXbq00y9M2qnCU0bAmU9jrDkzduGos7Cbji75knpAmQ+/x06oLZEZu/ik4VgOIJZWVYXo0vdyxiOL3sBxwnA0Tc4OHoqsWhtNnzyfNWZqSfSGTVBxkMG0MNmW3Mpbq+YS1WIcP+AoqlxVqGburzMdC3reAIRvAKoJOxq7y0BaknqB3d7Lxw2YST9Xv3bfy1Lfs3btGv7733/xxRcLiEQi5OX5mD59Bldf/U18Pn+Xnvvmm3/MgAGDuPLKa7r0PDt06I695ZZbCIfD3HDDDXi93q6+Jmk3HvL40fTrWNm0hsZYiJHBIZQ5yrssIPA5Ldx6xVSWb2wi1JpgzMAg5YEDTydRbLml9ITNIQOaQ5kQCEs7peeUgy+rV5eq5Y65f8Yw0x/Evti2jBumXcVg15A97iPvNUnqfQ7kvSwdmOTqj0jOfwazrRHhCWCbcg62IUd22fmWLl3CDTd8i4svvpQf/OCneL1etm6t4V//+gc33PBt/vWvhxCi71SH2pcOBdOLFy/mqaeeYvjw4V19PdIeePEzJTAZIUR6EWAXBwd+l5UZI4t3nu8A6bqBc+TRtC1+B4ztlV+Egnvs8cRlzuohK6m48B11IU1zdjZ1Ulx5qMF+5H631XGKIlhUuyzzx3eHV1a/xfcmDgL98F3cKkl9iXwvd5/k6o9IfPBv0JIAmG2N6Z+hywLqP/zhLs499wIuv/yqzFhZWTk//emt3H//vbS2tnLFFZdwww0/ZsaMowC4554/EQ6H+NnPfk44HOJPf/odS5Ysorm5iYqKSn7wgxsZO3Y8c+a8xMsvv0AqlaKmppp//OPfRKMRfvvbO1m/fh0TJ04mkUjs6dK6RIfu1sLCwm5bNCSlKyCoau4/jWlyUIHt/uqs8yW8lRRe+HO8R5yFd+qZFF70cxJ5Vfvcb0+vw+FKUUSfqfNsmmCWjyd4zk/xjD8R36xLCJx3C3Fb4KCPrSi594QqVAR947WRJCn9O0Jp55sq+V7ufMn5z2QC6QwtmR7vAtu2bWPVqpWcccZXch6zWCxce+23ycvLy91xF3/7258BeOSRp3j11XcZM2Y89957T+bxJUsWcc013+KJJ16gqKiYG2/8AccccxyvvvouZ5zxFRYu/LxTn9O+dGhm+tprr+XOO+/k9ttvp1+/fu3+MZM6hyPZRGrTIlL1m3AMGI9ZNJSU0vuaeuwP0xTEPZUoE9IBdLwDM+sRWlnRuJo1zesZVTiMwb6BXVdXu5cTQtCg17Fgy2IiqRhTysZRai9HMXv3+1ATNrTAMCxFwzEMiHfCB3LDMBlbNJIXV76BtkuFm9OHHoepyz/AktRXmKbJuKKRvLjydfle7mJmW+N+jR+shoZ6AAoLizJj9957D88//zQAqVSKH/3opr0e4+qrv4nD4UBVLWzdWoPX66W+vj7zeCAQZPLkqQB8/vl8kskEF110KYqicNRRxzBx4uTOflp71aFg+sEHH2Tz5s2ceuqpCCFygmm5ALFz2PUWml/4LVrzVgAiS97BN+M8lNGn0Y0T0l2mo7PcKSXO/QsfYVXjOgDe3/gJx/SfzrmDz0L0ghrVO/K8uuvbmnqtjjvm/omknk6QeGPd+/zoyOvo7xjQLec/WJ29Qr/IUszPjvou86o/J5aKc2TlFMod5bJktCT1MYWWIvle7gbCE2g3cBaeg/+msD35+fkANDY2UFJSCsC1136ba6/9NgBXXnkpxj6aZDQ0NPD//t/v2LBhPf369cPr9WHukhJUULDz2hsbGykoCGTFpqWlZZ32fDqiQ8H01Vdf3dXXIQFmc00mkN6hZd7zBIbOIGH198xF9YC6eEMmkN7hvQ3zOL7/0eQrXfPm7wgh0g1tFq1pwDBNxg4OUuI/sG6IHT+nYFnDikwgvcNLq97gOxOugsNwBsc0oUgt4eyBpwMiXS9a/vGVpD5Hvpe7h23KOVk50wBYbNimnNMl5ysvr2DgwEG88sqLe62moSgKmrbzb1tLy86Ou7fddhNnnfVV/vrX+xBC8L//vcy6dWsyj++6eDEYDFJfX4+maVgs6bC2vr6OYLCwM5/WXnUomD777LO7+jokgN0aswCYho4wD6+Feu19YjUxcxaqdLdt4Ti3/nMeqe3l/J56azW/uGoahcHOr3AjRPoPjRBkvgK1qzYURSGWipPUk4ABHHx1jL4qPeMt//JKUl8n38tda8ciw+6s5vHjH9/MD37wbRRF4ayzvkpBQYCtW2t4+unHWbNmFfn5+VRW9uPDDz9g5sxZrF27mg8/fJ8jj0wvRoxGIzidDoQQbNiwnkcf/S+alhsjAYwdOx6v18sDD/yTyy+/is8++5T58z9hxIhRXfb8drfHYPqWW27hxhtvxO12c8stt+zxAEIIbr/99i65uMONyK9AceVhRFsyY57xJ5Cy+w+r3zNFziClniK2ttVlxiaUjCbfmp+OH3uAqgrmLtqaCaQBdMPkjU83MW5o0V723M/zoGFt2UxyyypUtw+1ZCjjikahJv1Em12kUiaBKoOyQjvoh28gLUmSJHWcbciRXRo872706DHcf/9DPPTQg1x55aW0trbgdnuYMGES//jHgwwfPpJgsJC7776TU045lqFDh3HKKWcQDocA+PGPb+LPf/4Df/vbXygsLOS0087kn//8W+bxXVksFn772//HXXf9kieffJRhw0Zw5JEzu+25AghzD4mfl156KX/961/Jy8vj0ksv3etBerJDYmNjW7dWuCgs9FJf39plx3fEa4ktfotk7VpcI45C7T+RpGXvq14PRS2E+LD6E5bVr2ZK2TgmF4/HTc/VOFdVhQfmfMl7C7dkjU8aXsRt/zeNhoa2gz6HEGDduojGF/+YGbP4Ckmc9gtu+dfnRGLpr8MURXDrlVOpCrgP+pxS1+nq3xVS3yPvCWl3Hb0ntm3bSElJv264Iml3O157RREEAp52t9njzPSuAbJsJ9717FoYs349qVgLzjHH4Jh2PknTin6YliTMw89pVSdxar8TEabSrR+Y2qPrBrMmVuQE0yceUdVpheetRozwew9njRmJKEvWNGQCaUgv5Hzu3XV879yxfaIbSVIz2NwQYWtDhOICF1VFnnZb1vcke6IBo24dpp7CUjSAhLusL7y0kiRJUi/Q4Z6dNTU1PPLII6xevRqLxcKQIUM4//zzKS8v78rrOyzYtRbCL/2eVP2mzFjgrO9DydgevKqel06dFpi9JMelKujip1+fwnPvrkE3TM6eNYiBxZ03Wy4MHT0eyR6z2glHc9uchNsSmJi9vhqrCfzv00288P7OBaXHT63igtmDUHtJ9ytHvI7Gp36JEds+O6RaKLzgVuKefddClyRJkqQOTQ99+eWXnHHGGcyZMwen04mqqrzwwguceeaZrFixoquv8ZBnNm3KCqQBQm//B5sR67ZriGsGa7a28vnqBqobo+jdPBPsSDVh27oQ65bPcMRre2WbUUUIhpR6+dHFE7jxkkkMr/ChKp13nSmrB+/EU7LG9EgLE4cEc7Y9bcaAjr15e1hTW5IXP8iuzPLmp5toaOne7lR7IgQkNy3eGUgD6Bpt81/ConTue8CeasK29Qus1fNxxHrnPS5JkiTtvw7NTP/mN7/h6KOP5u6778ZqtQLpots33ngjv/vd77j//vu79CIPdWYqnjOmR8MIIwVq1zds0QyTx95cxQdf1GTGrjxzFDNHF9MdBTQciXqanr4DPRICQFhsBC+4lbi7outPfgCECV2xItQwwDbyGHw2B5Ev3kD1Bck78jw8eXnc9PUpPPHmKqIJjbOOGsiYAfl9Ig0hkdTbvc5EUu/+i2mHEAKjtSlnXG9pQHRitRRHsjF9j7elz5W+x28h7q7slONLkiRJPadDwfQXX3zBU089lQmkAaxWK9dccw0XXnhhl13c4ULJLwNFBWNngOEZfwJJq7dbqldsC8WyAmmAh/+3gjEDA+Q5OpwJdECEgOTGRZlAGsDUkkQW/A/brKvQu6l6RySpU13XRlIzKC90E/DYu60py66SqhdlxIn4hh2FKSzETQsCGFzq5aeXTsIwwKr2iVRpAII+B+WFbrbU70xfCfgcFPp7R1dPwzCxD5xA6+dzssbdE05CMzsnkBYCUpuXZAJpSN/jbfNfwnHsdWiGnKGWJEnqyzoUKeXl5RGJRHLG29raMgWypQOXdJdSeN5NhN97FC1ch3vssdhHHUuim/7IxuK5tRsTKZ1kSocuDqYVRaCF63LGteatODDQuyGZoTWu8dtHF1Bdl67IYbMo/Pz/pnV5Q5Y9MQyTJI6cyW8FUJS+E0gD2FTBDy6ayLPvrWXhqnpGDSzgvGOH4LT2niQVzd+fwJk3EP7gcUwtgXfqmYiKsZ32Ogsh0Fsacs/bvA1haoA1dydJkiSpz+hQpHTMMcdw++2386c//YmqqvSinA0bNnDHHXcwa9asLr3AQ5VmmtQ2x2lqiVPod1LkG4jnzJ8gjBSaxU2iG+splxS4cNotxBI7g+ohlX78HluXn1vXTRwDJ9K28PWscfe449HM7gm4VlWHMoE0pKtPPPXOar5z9lj6coHvWMqgpj5MKpGgIt9KIM9GQum+8oI2PQKhagpTcb55bBktJw3Dpij0ttdUF1aM0nH4zh2OQCepuA+8io4wadIaqI02sM3II6AGsRp27P3H0jr/5axN3eNPQJOBtCRJUp/XoWD6+9//PpdffjknnXQSfr8fgFAoxLhx4/jpT3/aldd3SDKAtxds4fE3VmXGrjxzFDNGFYNi6/bGJHlOC7dcPpUHX1nO+powk0cUc/5xQ7B00wIpvWAgBadcR/iDxzBTSbxHnIVSMQ6tG2IuIQQNodyc9Zr6CJphYOnEBYbdqTWh8btHPmdzXfobJbfDwi1nFlFVUUjc1vUt2W16C62v/Y1kdXqBsrDYCJ5/c6+tkGGakBT2nT8cACFgdWQNf/rk/kyK0IzKKZw39Ews/v4UnPotwu8/ipGMkzf1DNSqCei963OFJElSr9fSEkZVVdzu9ms+94QOBdN+v59nnnmGDz74gNWrV+NwOBg0aBDTp0/v6us7JDW1JnjizVVZY/95ZTmj+hfgd3X/TJVpQonfwY8vnkhC03FaVQSgCANrtBajpR7VXYDmKe6SmTRN2BBV08i/aAyYBimLl2Q3VRMxTZPh/fIzP48f4WfsKDsen0mbaMIvCsDsWwG1EPDlhuZMIA0QiWvMWZ7gSvtGREWgy1JFVFJY22oxwzWZQBrSOcIt7z+K+9QfkDpEZ2PjRHngiyeycu0/3Dyfo6umUWGvRFROIf/CUYBBUvWQlIG0JEmHsHnzPuKxxx5i9epVmKbJiBEjufrqbzJ8+MiDOu5FF32Vv/zlHwwcOLiTrvTg7TWYjkajzJs3D5vNxoQJE5g1a5ZM6+gEbbFUTjCj6SaReKpHgukdVAEua3rRlRCgbv6chjl/Y8fX8r6jLkAdcQJ6x8uTd5hpmiSECwTQzWX5KoIuvnXuOBasrsYzYCNPbZoLgCIUvnfElQxxD+2RxYgHSgjBlvrcjowb6pMkowlsioLeBSs7VXTMFW/T8OHT5E05NefxVGM1wkiCcmgG00kjSTjekjPemmwDe/pDa0JxpQf7zu0kSZK031588Tnuv/9efvKTmzniiOnous6zzz7Fd797Hffe+wADBw464GOHw+FOvNLOsceoaMWKFVx55ZU0NjYCUFRUxD333MPYsYd3I5HOEPQ5cDssRHZZ+FeQ56DAm7vgzZFsxGipQzg86O5iNGFDRcMSrcOMhFC8QZLOIEYn5Bfb9VbM8FaEoqJ6/NS9cT+7/tUPf/AEwX7j0F1lB32u3kQVgslDgpRUJbhz7iOZccM0uH/hY9w28wc46Tutuw3DZPSgIC/NXZ81fvQwF658D4kuKpFiidbR8P7jgIniyP36zTViJprqPmQDSbfqYXLpOKqcQ9HjTmw2g2Wtn1PsLuzpS5Mk6TD36bYFvLj2VZoTIfLtfs4cdDJTSyZ2ybni8Tj33PMnbrvtV8yYcRQAFouFiy76GqFQMxs3rqe8vJy///0vvPvu25imyQknnMw113wLq9XKv/71D7ZsqaatrZWFCz+nuLiE7373B0ydOo0rrvgaAFdd9XVuu+0Ojj76GJ577mmeeOIRWlpaGDduAj/84Y0EAkEWLPiM3//+LkpLy1i2bCl33HE3EydO7pLnvMcI7Pe//z1VVVU8/vjjPPnkkwwYMIBf/OIXXXIRhxuvw8KNl02hLJAO0PqVePnxJZNyKhw4wutoePinND77GxoevYXUguewGVFY8z4ND/+Mxufupv6hG7HULOZg05sdiTqan/w5jU/fScOTvyT02j/xjj8+ZzszmjvzdigwTZNIMnc2tzXRRlzPzanu7foXufn6qcOw21QURXDChCDTBtgwCvp32TnNWCs7IuXoms/wzzwXxe4CBM7h03GOO6m7v3ToVqppYVbwDJ56OsLjz9fx3ycbKG07Gq8o6OlLkyTpMPbptgU8uuIZmhMhAJoTIR5d8QyfblvQJedbsuQLdF3jiCNyU4Gvu+47zJ59PPfc8//YuHED//nPY/z734+xYsVy/vvfBzLbvf32G5x//sXMmfM206bN4I9/vBuABx54GID77vsPRx99DG+//SYPPfQgd975O557bg5lZeXcdttNmeNs3LiB2bOP57nn5jB27Pgueb6wl5npL774gv/+97+MGDECgF/96lecdNJJRKNRXC5Xl13Q4cA0obzAya1XTCWa1HDbLVh3W+hmM2M0v/ZPTC2ZGWv7/H84B4yj8e2HyEzvmQZNr91L4JJfk7DmcyAUBWJfvI7e2pgZS2xZibP/GITVjplKd6sTFhuKtxCbEYGWWoSiYniLSYmdM+qGCQ2tcSJxjUKfA6/D0mOl3CxoqNE6zHgE4S0kafPv9VqCrgBCiKyUjipfOV5L99T77kxWVWH2+HKmDC/G1JL47Qa61UOqC5+H4g1k7pdE9Uq0cD15U07FMWgSum5gxsLYLA6SonfUmO5s8ZTBP55ZRlLb+SK//MFGpg4vpSIgf2dKktQzXlz7KikjlTWWMlK8uPbVLpmdDoVCeL15eyydbJomc+a8yN///i98Pj8AV155DT//+c+48sprABg9eiyTJ08F4MQTT+aJJx5p91gvv/wCF1xwcSZt5Nprv81JJ81i06aNACiKwgknnIzN1rXVyfYYTEciEYLBnW2MKysrUVWVUCgkg+lOYlMFNmf7+aNKKoYW2pYzbkRC7P49uZmMQ6INDjCYVs0U0S0rc8b1aAu2siEkNi5F9fjJP/k6ECYtz91JqnELAPb+Y/EeeyUJi4+UYTJn3kZeeD/dPtrttPKzr0/pkXrNFjOBtngOzZ+8AIBidxE458a9VpMoUAv43tQr+dfCx2hNRqjylXP1xEuwGF1fIrArGAa4bBawWUhBl38gSNgDBL/yQ5r+9zf0tmaEasXefxyNc/5Oqn4TAPbKEXhPuIaExd+1F9MDYkmd+lAsZzzUlpDBtCRJPWbHjHRHxw9WIBCkpaUFTdNyAuqWlhZ0XSORSPCd71yD2P61ummapFLpcSBTOQ7SKSJ7WrdUV7eN++77Ow8+eN8uo4La2q2oqgWPx9vlgTTsJZg2DANFyU47sFgs6HrvaAN8qNNtHmxlQ0nWZFf9UH1FCNWKqe/8lKm6/eD0H/i5hA3n0CNINWzOGrdVjsI2+Wy88RawudFsXvTPnsoE0gCJDYtx1XwJVdPY2hTNBNIAkViKf76wlJsundTtJebUli2ZQBrASEQJvX4feWf/jKTYQ3BvCoZ6hnHbUT8krsXxWr19IpC2G22YrfUoVgcpV2GXLBDtCNOERMEQ8i/8JSQi4PQRW/pGJpAGSGz+EtfmJYiBR/Wp5jMd4XFaGFjuY92W7MUxvaXboyRJh6d8u7/dwDnf7u+S840aNQar1cK8eR8yc2Z20Yq77volTqcDq9XKAw88Qnl5BQCxWIympkbsdvt+nSsQCHLhhV/j9NPPyoxt2LCe8vIKlixZdNApsB3Ve9qQSVlS2PAffwXWQDkAwmqn4ORrSeVVETjr+swCL9VbQMEZ15O0HHgzDsMwsQ2biWPQ9q97hIJ38mlQNISkcJJwFpNQPSimRmLjktxr3boaVRU0tyRyHtuwtYV4V+YW7IERac4ZSzVsRtFyZw53ZZomTtNNvhroE4G0M7aN5idupfGJX1D/8E3oX7yIxey5HO90xQoPCWcxuuogsWFxzjaJ6i9zPqgfCixCcO3ZYygLptdCOGwq3z53HIV5+/fHQZIkqTOdOehkrLtVUbIqVs4cdHKXnM9ut3PNNd/m7rvv5KOP5qJpGtFohAcfvI/PPvuUSy75OieccDL33nsPra2txGIxfvvbO7njjp936PhWqzXTlfvkk0/j8ccfobp6M4Zh8PTTj3PNNd8gFtv73/rOttcprP/+9784nTtnVXRd59FHH8Xn82Vtd+2113bN1R3mYo4S8r56MyLaDDYnSVs+pgl64WgKLr4DM9GGcPpIqJ6DnuVLWP24jv8mniMbSBqCED5c2LMqAutYcAyeQrJuY9a+toqRpHSTYDvpHMP75eO0dX/gpHhzKyjYSoegW/tOVY49sZJEidSjWm2E3nsYvbVp+yMmrZ++SLDfWLT8nq+/qRsCx5ApJGpWZ43b+41F68SKIkKALdkMsRZw+Ula/ZimiRBi+3gYnL7t75+unQ4PemzcesVUQm0J8n1ObJiH3Ay8JEl9y4686O6q5gHw1a+eh8fj5cEH/8ntt9+CoiiMHDkqUx/6+ut/yN/+9hcuvfR84vE448aN5/bbf92hY5966hlcf/03+eEPf8rJJ59Ga2sLP/zhd2lqaqJfv37cfff/Iy8vr8ueW3uEuYe/Lscee2zHDiAEb731Vqde1P5obGzD6MYSAYWFXurrW7vtfN0pqRm8Mm8jL3+4HtOEgWV5fPu8cfh3yeu2p5ppfet+EpuWAeAeMxvHlHNIWjzohsmHy7bx8Ksr0HST4gIXP7x4IoFuaEu+O5UUrJlL6N1HwNCw5BVScNb3iTlLO/1c3XlP2LUQrW/9i8TGJfimf4XwJy+BkZ16VXDytaSqpnXL9eyLPRWi7b1/E1/3BQCuETNwTr+ApKVzftEJYWKtXUrTnL9iJuMoDjcFp3+XVHA41rplNL78F8xkDGF3ETjtOyQLR3RbcHso/66QDoy8J6TddfSe2LZtIyUl/brhiqTd7XjtFUUQCLTfdXGPwXRfcTgG00IIbKlQetGhw0fScvAz0wCra1r49X8/yxo7bnIll5wwJGvN446ZUaGoaM4g2q5fcAgIRVLEEhoFeXbsas99na8IE2u8EZJRTHeApNI1s9LddU8oioCl/yM893EAnIMmYCRiJHbpNAgQOO9nJPOHdPn1dFT6fmkAIdDdhWhm5+V0O5KNNDx0Y9YaAsXuovDCW6l79LZMJRoAYXMcVNWb/dUbfldIvYu8J6TdyWC69+tIMN0zK5WkAyaEia1uKU3/+ztGPILq8VNw+vUkfP0PKqAWAjbV5tZZXrCyjvNmD8K2S1Ccwgbu8vYPZILfZe3RTo47GKYgYQ/CIZKyqgqDyNr5mZ9ja78gcPzX0cL128saCrxHnInhr+y5i2xH+n7Z3uinkz/3Gm1NWYE0pBebGq2NWYE0pKvemJEQ+LsnmJYkSZIODzKY7mNs8UaaXrsPfdSpRAPDsVkUGjauIzCqkMRBzLyaJpQX5u4/amAAm0U5ZLvW9SW6qWDrN5bE1rXbR0ya3n2Uwq98H0O1I2xOUs5CNNQevc7OoAoTa6IJ0zTRHfloZvvPSXH7QVGzUl2E1YHizgfVAvrOLqPCYkNxdW8enSRJknToO/SW1B/izFiYrVO+xc/n+bnp8Y38dk4ty+1jWVWfgoMsAdOv2MNR43fOOBf6HXzl6EEykO4lDMPEMXwm1sKdtbJtZUMxvKUkfAOIO0vQD4FA2qZH0Bc+S/1/f0zDf35E8qOHsWvtd95MOgIUnHRNOqAGUC0UnHIdcVcpBSdfB8r2+QLFQsEp15Kwy26EkiRJUueSOdP7qadz3traWvnhvZ9ndVkryHMwY2wpx06swHeQ6RWaYVLfkiCZ0inyO3NanEu5uvuesBtRzNZtCKFieov3XDe7j7LWLKDp5T9njfmP/QbGkNntVuNQhIE11oAZDSPc+STtAUzE9pz5BsxICOH2k3IEMczuq3fe078rpN5H3hPS7vYnZ7q4uCrT5ETqHqZpUlu7SeZMH2rq2sysQBqgqSWO02GlPhw/6GDaoghKe6BjodRxCcUFvoE9fRldQlUV4usW5ozHVszFPXQWqXaCYcNUSDiKwFG027ggYS8E+/YyiX162kCSpMOZqlpIpZLYbIfIIqA+IpVKoqr7DpXltGMf43Xbczr62G0qhmGS597/EnRWkjhSzVjJbbgiSd3NMAxsJbkfFGxlw9DlrytJkg5THo+fUKieZDLR5fXypfSMdDKZIBSqx+Px73N7OTPdxwQ8di4+cRiPvLYSSFfhOGf2YJw2laB3/4JpZ2wrobceIFmzGmtRf/zHX0nCWymbTEg9xjTBUjUOa7CCVEM1AKo3gGPUMcS7MZ1LkiSpN3E60wUCwuEG9F0WVktdR1UteL35mdd+b2TO9H7qqZw3IQRxTcc0wG4T1DYnqA/H8LpseBwW8j021P3IpbIbEZqfuHV7SbU0xemh4KI7SFh8e9nz8GQjjqInSVm9tCYMrKqCVUm/3jIPsvPZ9DYI14ChI/zlJDqpyUt3kveFtDt5T0i7k/dE3yFzpvs4zTBZtK6RR15dQSKlc/asQcwcW0rJweQ2tzVkBdIARqwNs7Ue8mUwvYMQJram1YTf+jexoSfy6rYi3llUR5HfyRVnjmRgibenL/GQlFQ9UDC0py9DkiRJkvZJJiH2ARvrIvz16UWE2hLEEhqPvr6SRWsacnKn94vdtbOcWIZA2HO/zjCAuGYcdOm9nmQlid2IoOznHW+LbKPh6bswbG7mbCngjQXb0HSDmsYId/57PvXhwyPXPPP67eUeEAISmoEm0zEkSZKkw4icme7lFEWwcFVdzvgb8zdzxIhiDrREQcoRwH/0hYTefSQz5p32FTRXYdZ2DW1JHn9zFSs3NDF+aCHnHDO4V3Q37CiBiT20lvB7j6KF63CPOQb7mBM6nMpihGrANEj1O4J3X9ttJt+ELQ1tjBwU7IpL7xWEMLGH1hF+95G9vn7RlM6HS7byyocbyHPbuPSU4Qwu9SL68icwSZIkSeoAGUz3cqZpMmmQFzNeyAdfhmiLpVsnlwXcKCId0AkhsBpxTEUhZXYs0DVMBcuQWQRLhqC3NKB6C9DzytEyt4QgktR44KVlrNjYDMCHi7eyqbaVn319Cra9TVH2IvbYNuqf/nWmQ17r/Jcx9RSWqReiG/t+DsLmAkCNNVPgq6C+OZb1uMvedz5YHAh7tJb6p+7Mfv1SSSzTLsq8fooimLeslsdeXwVASyTJXf/9jF9ePZ2yfOc+z2ECKcPEblEw5ay2JEmS1MfINI9eTEXHVreU0vn3cHr4EW6fnWL2qHzsNpXTZvTHMEysRgx1/QeEn7qVtufvwN6wHBV93wcHNGEjkdcfrWIyCd9ANJEuu1fXkuCvzy/htvs/oazQw7nHDsnss7m2jcaWeFc95U6nN23JajUN0PbFW1hTHVzwkV+JvWI4rHiby48qyEqtGVblp6LowFu49wXtvn6L38KWCmd+jmsGr87bkLWNacLq6tBeU5GEgNqWOH99bik/+8fHPD93PW0JuUpdkiRJ6lvkzHQvYhU6YJIy0/8sltB6Gp77XeZxdd5/ueTE6zj9uOkUuO2ACdWLaH79/sw2Dc/eTeGFt6HnDTigawhHU9z+wCdE4+mg5u3PNjNxWBFjhwRZvLoBRYDd2ndaVgtr7iJN1Z2HqXTs1k+qHjwnfQuaNuHXk/z6/yayJaTjclioLPTg6kOvxYEQtnZeP1ceItECLj+QbvRTkOegIZT9ISvPZdtrmcVwVOP2f31KbHsA/cL762gMxbni1BHIDiuSJElSXyFnpnsBBR1700oic35L2/N3YK35HJtIkVi7IGfb1JI3KPJYME0TCynaFvwvZ5v4hsUoB5iGsbUxmgmkd1iwso4R/QoA+MqsQRR49r85TE8RgSqsRf2zxvzHfoOk4urwMZKql2ThKLSSMRQF/EwYFGBYuQ+X7dAOpAGUQBXWwqqssbzJp9C29ANUNf3rQwEuOmFY1j1X6HcwqHzveek1DZFMIL3Dh0tqCG9PZZIkSZKkvkDOTPcCtpZN6bze7Zpe/guBr/wQxZ0bjKhuP+b2RV2mUFFc7Wzj8mJ0oHy4EGARBgYK+vYO5bZ2ZlrtVpVBFT5uuXwq5UF3n5o0TKh5+E6/AbNhA3qsBUugCi2vAtNM5/oaQkcxFQxj38c6HKWsPryTTsaMhjFSCRS7i8iXH2PvPzarC1e/Ije/uno6G2tbcdpUBpTm4XXs/deLzZr7Wd5uVbGofSMfX5IkSZJABtM9TlEE8bWf54y3ffoC/uOvpPWTFzAS0e0bq3imnE58+8IvzVDwTjub+MalYKajQcXhwVoxmvg+Al6b3oax6Qvalr6DNViFa9wJJNxllAZcDO+Xn1l0CHDhiUMZWubtswFnwuKDknEAmWzyNlqYv2Uhn29bzKjC4cwsn4JX+HvsGnsrXTewBqqof+MXgAm6hrA68J1wVXZHQhNK/I79qn1eFnQztMrPqk2hzNjFJw3HY1dlF05JkiSpz5AdEPdTZ3crEkIgls0hPPeJrHHHwAm4T/kealsdqa2rMLUk1tJhJDxlmKbYZX8Te+sWUltXIqwOLKVDSTgK9xqMKAKMRc/TOu/5ncexuwhcdDsJW5BoUmdtTQu1TVEGlfuoKHRnuv0dCnQlxb2L/sPy+lWZsfK8En4w5Trs5r6rT+xuT/eEqioIAZrW+Z9C1O2VL7rj3hcC7JEaUjWrQFGwlg4l4SrplIA3ktRZt+Neq/BRGXRjOUTuNdnZTNqdvCek3cl7ou+QHRB7MdM0sQ+YgPjkBczU9gVcQiFv0snEP3sOESgnuWUlppbCkl+G4tbQse6yvyDuqUAMTacuaLDPNAxrqoXG+a9kX0ciitFUDSVBXDaVMf3zGTsg/5CcIWxKNmUF0gBbWrbREG+g3F550MdPf8DZTGTxW5jRMK5xJ2AEh6CJg881j2sGyzY08d6CLQwoz2PW+HIK3F2bw26aEHeVIYaUYZrbZ/c76b5wH+L3miRJknTok8F0L5BwlRC88OckNy+FZBx71XCa3vwPeWNn0/C/ezMpHNGV8wic/SNE6RiM3WYl9ysQEQJUC+ip3Yaz86X7cnAjRHpmWNeNnOehivYXDio5HSEPjL2thvrHbwcjvbgutu4LAmfekEk1OVBCCN5ZuIWn3loNwNJ1jby3YAu/vGpaVn6yxaLk3B+doSvvh758r0mSJEmHt26t5tHW1sbpp59OdXU1AB999BFnnHEGJ554In/84x+781J6FdOEuLMEc9jxmGPOINVUi5mIkmrckgmkd2id/xKvfbKeVz7ZRHMkeUDnS1nz8M08P2tM9QYQBQc/K9sbtCV05i6t5S/PLuHj5XVEEtl1kv1WPzOrpmaNjS4aSqEtcNDnFoL0hyIju0pF6yfPYxUHV6WiLaHxwntrs8ZaIkmq6yMAWMwEtrqlJN7+O8bCZ3HEth1cy3lJkiRJkvap22amFy1axM0338yGDRsAiMfj3HTTTTz00EOUlpZyzTXX8N577zFr1qzuuqReJz07Z6Yjssz/7rYNCl9uaGLB6mZe/2Qjt//ftH1WTdidYZhYBk0n4CsisW4BloIyrP3GE7f6O+Np9CjNMLnvxaUsWZtu/T1/eS2Thxdx9VmjsGx/PRXDwtmDT2VM0XCW169mSGAAw/yDsZj2zrkIpZ3PqIoCB9laWwgQ7eQTC7E9937TQhpfvTczHvniDQIX/oK4vTBnH0mSJEmSOke3zUw/+eST3HbbbRQVFQGwePFi+vXrR2VlJRaLhTPOOINXX321uy6nV7MUD8ZIRLEWlMJuzUXaBh3PorUhAMJtSTbXtx3QOTThIFk4CsuRl2EMPY54J8zK9gZ14XgmkN7hsxV1NLYkssYcuBidN5qLhp7DxPzxuGh/UcH+Mk2wVYxCWLLzmL3Tzs4049lfQggc0Ro8G9/nnJkVWY8VeO1UFLqxGVHCHz6Z9ZiRiKLXbzigc0qSJEmS1DHdNjN9xx13ZP1cV1dHYeHOGbOioiJqa2v3+7h7WlnZlQoLvV18Bi+2r91OZO0CCk+7lnj1SvRUksbgBB78JIlumFgtCn6vHYuqdMP19B31be2nvlitape+Trse2zSHYr30dtqWzcWIhvGMPgZH5XCUdroJdkR861q2Pv5zTC3J1KHHUHTKVOZtMhlY4efIMWX0K81DawvRbOZWDVEV8Mv7o8fI96a0O3lPSLuT90Tf12MLENuryCcOIMGzr5fGA0BAXTjB4jUNAIwZFKTEX4QYcQopIVArpmBVBIs+2cTKLau4eGYhE/KasLdtwCdchLepJFV3515TH+V3WhnWL5+Vu9TJHjM4QJ7D0mXlh9q9J6wlKBPPwyIEEd0gEk4B+58zLYRArFmIqaU/JIhV7zJAncuY0bOwT/4aSV1QX9+KEBbypp9D8xv/2rmv1QEF/WTZpR4iS15Ju5P3hLQ7eU/0Hb2yNF5xcTENDQ2Zn+vq6jIpIIebbc1xbr3vYzTdxOWw8Px7a7nliqkU+xzsqEGm6yZHjS1jTIWTvM//jb58CSYQWvoanoknY5lyHrp56Le33herKvjmV8cw/8s6FqysY/LwYiYPL+yR2sXpD3kH90FPCDC13YJwXSNZux6bqbPjLWyaJqLfFAJneIkseQuLvxTn6GNIOIv6VMdKSZIkSepreiyYHjduHOvXr2fjxo1UVFTw8ssvc8455/TU5fQYVVV467PNlAecXD7djS+6EcPiItVai1owAF3f+dW9w6LQz9FKw+YlWcdoW/AawdHHojsOzw8ju/PaLRw/sZwTJ1eg62a734L0FYZh4ug/Dj5+Nquyi2fKmaSM7LdvSnFA6XiclRPTFWJ0QwbSkiRJktTFeiyYttvt3HXXXXznO98hkUgwa9YsTj755J66nB4jBEQTGt+eacf27h9I1+sAu9uH7fxbiVmzFwaautbOUdJtnqWduqLOck9JeisovOAW2j57GSMewTPpVIyiYXvcvis6LkqSJEmS1L5uD6bffvvtzP+fPn06L774YndfQq+iaQbnzqzA8e6f0HaZRtQjYVI1K6HfkVnbi7xiLHmFaC31mTF71SgMdzDzc4sZIhytozSewBqqx+othEB/kqpc5HAwTBO2hmJs2taK122jf4kXty07tSalm1Q3RqhpiFDoc1JZ5MZpPbj0G8MUxPMG4Djh22BC0pDFoyVJkiSpt5AdEHuBQq+V1kRuiTszEU3nzO4ywZpQveSf/SNiX7xOYvNyHEOm4BgxizjpUmwho5F/LniY69wDiX3wDLHt+9n7jcZzwjdJKq5ueEaHHiFg+eYQv3tkQWasf6mXH140cZeN4L1FNTz6+srM0IyxpVx28nCsnZCzrekyiJYkSZKk3qZbOyBKuYSApoQF58STdn8Ea9nQdtssx+1FqNMvwXvuz1EmnE3cVrD9WIJF9cs5JjgUMe+VrH0SG5dCaEsXPYueoQgTR7QGa/V8bLVLsGstXXauhGbywEvLs8Y2bG1lc93OD0GhSIon31qVtc2Hi7dSF4ohSZIkSdKhSc5M97CtzXHWNm+ilWaOnHk21qUfgdND3sxzSXoq9rifYQgMbLBLeqyiQHMsREBxYqbiOfu0N9aXWZtWU//0XZmFedbCKnxn/ICExdfp59IMk5ZIImc8ltzZqjypGWh67qefeFLPGZMkSZIk6dAgZ6Z7kFDg3YXVbE6u4KVNn/Dr5sW8Pn4Szw7qx8vRalD2L9dW100mlI5hfssm1AFjs89ldaDkl+bsY9PbsDV8ibXmcxzRrSjCxGImsYfXY93yGfbweixm+41QepKVBOF3H8qqcJGq34TZuLFLzueyKRw/tSprTFUEFYU763sXeGwMqfRnbeN1WSnOd3bJNUmSJEmS1PPkzHQP0g1IJHWiyXS97ZZEK69XfwbARJEuEL6/FSkqHRVM6z+NLYEmyj0+zNULsRZWknfUxSTshVkJ2Da9jbY3702ngAAIhcILbyG5aTnNHz6V2c4383zUkSeh03vqWCtGCq2lMWfciB9Ye/V9MuG0af1xWC28/flmivKdfO3kEQTz7JlNLEq6xvXz76/jsxV1DKn0c9EJQ/E6LO2m60iSJEmS1PfJYLoHqUIwpMpP3DWWpfUrsh6bUTn1gEqcKaaFUXkjsFi2gj2IZdyJGM4C4sJNTkTXvGlnIA1gGui16wh/9EzWZuEPn6ZwwCR0Z/Fezx1N6mxpiKAbJuVBN15H191eKdWDZ+yxtM5/eZdRgRqooDOLBAohsMfr0JtryLc6OHd6JSdOrcSqKqiCnDrOPqeVr588nAuOG4LdoiDIfdmlgyRMmvRGaiP1eG0eih1FJBMWtjREMLffe54uvPckSZIkaVfyL04PMk2TCYMLWbHV4IyBZ/BO9dsI4OwRpzLIO+CAGm4IAdb6FTQ8+9tMCoRr+JE4Zl5KSslONzDjkZz9jWQ8K3UivaGBkYzCXrIVWmIav3n4c7Y2po/pdVm59YojCHhs+/8kOsAwwT7mBDB02ha9herJx3/sZaS8FZ3aqMTesoGGp+7ItPO2V44k74TrSIq9lBk0TRwWmUHVFYSAtdF1/GHePzPNeKZXTMZaN4bX5m4FwOexccvlUylwd829J0mSJEm7ksF0D3NaFSb1LyWRKuHo/pOwKAIHrgNuOGI1IjS/fl9WQBxd8RHOMbMhf0jWtmp+KZA9vap48lHdfvRIaOd2bj/CE2RPhIDFaxszgTRAazTFG/M3cfHxQ7BF6zDCtQi7Gz2vFE049nAcQSiaZFtjFKfDQkm+C5uaWw4urhlsbYqiaYKy0ecQmHAaplBJKs5OnQW2kiL83iOZQBogsXk5nsYNUDym807Uw3TDpL4lQagtQdDnIOC101uL8MVFjAcWPp7V1fLj6s84t9+IzM/htiTvLdzCubMGorezIFSSJEmSOpMMpnsBwwCrKrDiAgOMg5haVVIJ9NamnHEz1gr52WNJdxnBs39A85sPoLc24xpxJGrZSArO/hHhN/9Fcts6bCUD8R1/JfG9NHxRFIWNtbll6TbXtWFrXE39M3dlOjS6R8/CPu3CnFlygJqmKLc/+CmJ7dUvjhhZzNdPGY5jl6YnkYTOX55ZxKpNIQDy3OlZyIDH1umtsxUjgdZYnTOuR0Ode6IepJsmby7YwhNvpkv6CQHfu2AC4wcW9MoOkkk9SXM8nDOuiexKNaurQ7KTuiRJktQt5HfRvURcM9hYH2FjfYT4QbSD1u1eHP13nzUVqP6SnG0NFJJFo8m/4FcUXvFHPEeehxHaimmY+M74IYVX/AnPmTcSd5Xv/Zy6wcShRTnjl8wqT8+S79LqPLL0PUS4nQDVhH/P+TITSAN8sryWzfXZqSgrN4cygTRASyTJS3PXITqhKcruNIsb14iZOeOWgr2/HgCG0KjXalkXXUuLGUL00qnexpZkJpCGdH73P55bQkss1YNXtWdu1c2owqFZY0IILFr2h71Z48sxe+GHAUmSJOnQI2eme4GWmMbvH1/A5tp0JYqqYi/fv2gCeQewiCplWsk75uuYbz9IYtMyVLcP//FXknTlBtOQDp6Sqgt7eAv1z/02k9LgnXomlnGno9GxvNNBZV4uPnEYT7+9Gt0wOemIflTlqzSHanPPGW3JnSXXDDZuzZ3dDrXtrO2sKIIt9a0526yuDpPSDSydHLHqhsA54RT0aJjYqk9R7E78sy9D81XufT+R4q3q93hh5esAWBULN0y7mv7O/r1uMWK4vdrZCY1IXMNj732/HhTDwtfGnMNDS55mef1qfHYvl4+/gNoNHqyWbRiGySlH9mfsoECve60lSZKkQ1Pv+2t5mDBJd8wLtSVIakbWjOym2lY+W1HHcRPKM7mhVjOB0roN09Ahr5ik4t7DkSFmC+I++Xryki2Yqp2kxZMJLBQMbPEGjGgY4cknaQ9g1aM0vXpvVm5w66cvEhw4CT2vCluiETPSjOopoN7Ioz6cwOuyUuC1Z77asKkKJ0yuYNqoYkwTvE4LghT2fmNIbFySdX2qr5jd5z2dNoUjRpfwwRc1WeNF+S7W17bhdVsJuO0M61cArMvaZua4MqyK6JLgKW7NxzH7ajxHno9psRGyCOqjNbgsTgpsBShG7luoIdmQCaQBUobGfQse4ZYZ38e+t1WcPaDQ78SiKmj6zm9DCvOd+Lto4WhnyCOf68ZdTkRvw6bYceBk6GjB+MHFmKaJ12np9JQfSZIkSdoTGUz3ABNYuKaRvz+7GN0wsagKF504jDkfracxnM79XL6+kRMnV6BpJnathbZ3/kV8/SIArIFy/GfcQNy250WBKaykbIGdJwQUdNSNn1K/fYGiUK0UnPFdlPxy9NZ2ajYn2rBuW0zDK39BqBYajryB376yjFhCQwi46IRhzB5fhro9xcI0zJ2zmWb6GnzHXEbo9X+Q3LoGxe7Cf9zlpDy5zWMw4ZxZg2luTbB0bSMOm8rFJw3nuffWsnhNA0LAZaeMYNrIYi48YShPv70GTTeYPqaUo8aWdukspGaqaLYA9Xotv3v/XtqS6dSTkwfP5uR+xwLZKQahRO4Me3M8TEyPYW8nV7wn+d1WfnLpJP769GJCbQnKCt1899zx2NXenQGmGBa8wg/mjtvbxGPfnlsvA2lJkiSpG8lgugeEIslMIA2g6QZPvbWK02cO5Om3VwMwdWQJ+vbZQr3my0wgDZBq3EJ86Tsok8/fr0VitnhDJpAGMPUUTf/7O0UX/xJrUX9SdRuytrd6fNQ9/ivQNYzRp/D3t5uIJdL5z6YJj76+klEDCyj17zlAjNkL8ZzxI5RYCKwOUjb/Hq85z2nhe+eOJRxNoSiCvz+zmNXV4cz5/jPnS4b3y+ekyZVMG1WCYZjkuazdkvhvKBoPLXw6E0gDvLrmHcYXjaSM7A81QWcBAoG5S1RXkVeKx+LOav/eK5gwuNTLHddMJ5pI4XXZsHVB/rkkSZIkHap69/TTISrUlswE0jvEkzqKIhACjplYwegBBZgmqKogtXV1zjESm5ai7md7EiMSzqkhbSaiaPEI+Sddg2X7IkVhdVBw6jfRUxpmKj1THncWUR+K5RyzuSU353Z3KewknMUkLL59Bv+qEBS4bWiakQmks87XmsA0TfIcFvzdFEgDJMwE65o35V5PIvcaCywBrp18KQ5LujtisTvIVRMuwWLYc7btDUwzXaIx4LHLQFqSJEmS9pOcme4iQoAtFYZYCBxekraCTCpCQZ4dm0UhqRnke+2cN9VP0J5k0BAX00cdRdBpoLRtRehWNFcQW+UIWPRm1vEdgyejY2F/vtMWnnxQLGDsDMIVpxfh9BGz+PCdeysi1gw2F0lbPrZUCMXuwkhEcbZWUxbsT01DdkAd9LVfM/pgeZ1WivKd1DXvPJ8QEOii8+2LQ9gZUTiE5fWrssaDzoKcbYWpMMY3mtuPriKqxfHb8rAaPXPdncFKCiXaAJgYriCpDi5KlSRJkqTDgZyZ7gJCgD20jqbHbqbhsdtofPgmrDULUUQ68PW5rFx/4QQqCt387Hgbo5fdQ/G8/0f0yZsp1bfQ9sofaHj0ZuofupHUJ49jLeyPe+TOEm328qG4Bk/e7zrASXuQwOnfQdjSgZ3i9BA447skrb7044qLhLuchDU/XeXDmk/BGd9DcbgRK9/hm8fkU5CX3tdqUbj27DEE87omSLRbFL53/nj8nvRsrs2i8K1zxhH09kwgJwwLF48+m2J3OqVDFQoXjDqTYnv7LdZNE9zkUWgp6tOBtF1rIfbu/TQ8/FMaHr6J6Fv3YtdyZ+MlSZIk6XAlTLNvF5BqbGzr1uYShYVe6tspz7Yru95K02M/w4jushBNUSm89C7i9sL0j4pAROoJP3ZTpoqGtaAUe/kw2pa8m3W84Onfom3pBzgrh2NikqqvRk/GcZ7wLTRz/75cEAJsyWbMWAvClU/SmrfXxXtCCGypUHqG3ekjTB6NrTGsdhO3y8CteMHYd2qAUAThaIp4UiffY8PagXQCISCaNGhuTeBxWvC5rD1e7iwpYjQnQzgsDvyqH1uqFZsRI6m6SaqeHr++ziQEqOvn0vz6/Vnj/tmXYQw9jj7+q6PLdeR3RV8hRLqEZyyp4ZfpQAfsULonpM4h74m+Q1EEgYCn3cdkmkdXiIWzA2kAQ8dobYTtwbRhmNjioaxydLbiASS2rMw5XGLr2vSiww2Ldw4qFrxaFE3N269LM01IWPPBur3Q8z7iIdM0SVh84E3PXmuEeb76SZbXr0YVCqcPO4FjymdiM/ecD6wbJvOW1/LQnC9Jagb9SvL47vnjyHdZ93mtTquCs8CZ+bmn2UwnxVZn+kNJ/Qqa5tyDEWtDdfspOP27JPwDe8V1dgZVVbIWvu4QXzMf54jj0PYvZV/qowwTFq5u4P6XlpFI6pQF3dxw4YR011FJkiRJpnl0CYcX1e2HMacSnfZ/GBO+iuL0orj9WZsJly+dw7xdsqEaW/GAnMPZCvuhR7O/WreXDUZXu7fMmlDgrY1zWV6fXhCpmwYvrHiN6uiWve63LRTjXy8uI7m9s+PGbS08/OoK+nKDOnuikcYX/oARSzfa0SMhGl/8IzYttyxeX6Ob0BRJ0hJLYa8cmfO4vd9YjN5WlUTqMvUtCf76zOJMLfyahgj/eH4JWh9+/0qSJHUmGUx3gaTVT9vJt3HX0kp+OifJLz4NUDf7FlKuwqztUo4gBSdfA0q6Pm6qsQbPuGOx5O/Mw3UMnoRaOgzP2OMyY4orj7xjLiPF3md2O1uSBJ/XLM4Z3xDajNhL98FdFxHusHBVPbGU3s7WfYPR1pT1rQKAEWuFSHMPXVHnCMdS/OGJhfzwL3P50T0f0uwfjq1sWOZxa/EAbIOP6NbUKqln1TVHc8bWVIeJxOVXE5IkSSDTPLpELKVz9xNf0tSSLisXak3wm8eX85tvzcS3y2SyYQqonETwa3dhRpsR7nxijiD+c27FDNdgCBXySogpLqxTziU48ijMZAzhLSZhzctK0VAUgTUVRugpNLsfzVQ7dK02M45ItmHa3CTF3me6rdgYHBhAY3V2wFjqKdpr/qzPk5sCMrAsD7u1736WU1x56an6XUoNCosNHN697NW7mcDjb67iyw3pf99YQuP6+7/kr9/5FgGtKb1FXgnxfdwn0qEl35v7/i0pcOG0dex3jCRJ0qFOBtNdINSWyATSOyQ1g4ZwDJ8zO9gyTIWEoxAc2xcmCpONTSnueb6RmoYoFYX1fPurIyku8KK5K2BHF/FdYlfVTKFsXEDTO//FiEdwDpmKZ+ZFxHfkRbdDCLC3VRN67R+kGjZj8ZeQf/K1JHz995zzawjOGHwCK+pXE06kF0yMKx5Jf2/VXl+P8oCL46dU8ub8zQA47RauPHMUlr3MZvd2SWch/uO+QejNBwEThEL+SdeQtBf02Q58saTO/OW1OeMrtqaYMLh/91+Q1CsU5zs5Y+YAXpq7HgC7VeXar47Fpvbd968kSVJnksF0F3A7rNhtaibHENLBa55rzwt2hICEiJNIRXnmw2pqGtJfrVbXR/j1I4v49TVTcVjb39/SuoWG//0983Ns9aeoLi+W6V9D30OlDZveStMLv0dvS89CaqFtND53NwUX30nC6t/jdeYrAW6eeQN10XpsqpUSez6uZArdmiBF+4sQ7RaF82YP5piJFUTjGsX5TvKclm5fqGcVGmqqDUO173MWfl8MU0EdOIPgpUNQE60YDj9JZ7BPLz60WVQqi/PYuC077zuvh8oRSr2DVRGcOaM/00eX0hZLUuh34Xd1//tXkiSpt+q737P3YnlOC9d8ZQy7TrxefOIwAu18XQpgCoNVkVXc/uHv+en7v8ExeBkXnVGReTzclqSpOdLuvgB6U3XOWOTLj7Ck2t/HxKStoTYTSO9gJKKYbQ17e2oAuEwP/Z0DGKgrpF78E/UPXk/bC7/BEalmT5PNVkVQlu9kcKkXr6P7/xA7kw1EX7+H+geuJ/zUL3CE1iDEwV2EjkrCWYp7yCTijiIMs2+/nSwKXHnmSGyWnc9jxthSygPuvewlHQ5UISjxOxhcmoevBz4IS5Ik9WZyZroLmCaMG1jAb745g8ZwjHyPhWK/fY/f/ten6vh/8/6FuX2LBbULUUsUhlQNZvWmMIoicLtsKApEEwZCAYdFzeQpKy5/zjGtgXISWEnoRta2ANua49RtiTNwt26IIFAc7ddQ3J3daKPp+d+htzYBkKxdl57ZvuhXJPazXN+BMhSNpJnALpwIo51AVkA0qeO0mITffoDEpuVAeha+/pm7KLzkTuKOom651r6iMuDirm/OoLYpisthoSTfhVV+nS9JkiRJeySD6S4igApbGN/KJ4ivX0S8ZCC+2ZeR8FTkzOrURuozgfQOC2oXcsqoCazeFObrJw7C7nDy6vxqXnh/HQ6byqWnjGBM/3xURUCgH/aqUSQ2LUufW7WiTL2A797zKVaLkt52QD7q9mnjmoYILy2M8P3J5yM+fTRzzryZ56crjnRk1qmtIRNI72BEWzBbG8DftcG0EFCb2sbDS55hQ7iaCSWjOWfYqeSJnTniLXGNp99Zw7ylW6kq9nDZ9DMJNNRgREPpDXQNPVwLMpjOYprgd1nxu3w9fSmSJEmS1CfIYLqL2MwYoVf+TKohnYKRrFlF4zO/Ts/c7rYw0OfwcmzFbJJmis9rPyOmxQm6ChhTWcDEq4opDniZ92U9dXWNnDUlwPsrWvnzk19w6xVT6V/kIal68Zz4LTzN1ZipOCE1n588uZFYQmPkwGLWbAlTlO+kLD+dJ+xxWtlUF+G+ZX6+cuT38Rgt6A4feYOHoXewCgg2V041CxAodldnvHx71Wq2cPdHfyOmpRd5flaziMZYM9dPuhqLYUM34cGXl7NoTTplZV1NK3e+EOGXJ5+H46P7MsdRHDJ9oacZpBfnOqxKn124KUmSJB3eZDDdRUSkMRNI72DEI5gtdRDYGUwnNIONa+x8/J4Pu1Xl9KMuY1HsHc6qHM9ga4REXj9MTEY46hgbfw6zoZHpo47ic3Mki9Y0MLDEi2GYJBUXBIZiAL/793wwBVecMYp3F1SzfF0jyaTGmUcNxGNTqSzyMKJfPss2NrNscxuqIrjunDIcMSjoYHypOYP4Zp5P+IPHM2N5R55Nylm4l706R120IRNI77C+eRPhVJiAWkhLNJUJpHdIagZ1mpcddUdcI2Zg5JV1+bVK7RMCasMJHn19JWu3hDliVDFnzhhInlP+SpIkSZL6FvmXq6tYHenuhkZ2YwOxy8ytELBkfRMPvvRlZuy/z0e46dIzKP30PzTkDyB/sh81FaH1zT+i75gFXjKHyaM01pedlFPfWRWCkoCb2ZMrWLclRNDvZOPWFt6cv5lYUueKU4bjsqlc99UxLFjVQDypYbWoPPnmKjTd5JdXTcNpU0jqJnZV2WP9aN1UsAw/lmD5cIzWBkR+KTF3PqpQ0tONXchpceSMWVUrdjVddcJmVXA5LER3ayqRV1JJwWnfRjjzMP0VpETucbqCUASJlIFNVZDTr2ktMY3bH/gk82/09mfV1DbFuP68ccgUbUmSJKkvkcF0F0k5CvAddQHh9x7JjLnHHofu2dnd0ETw6ryNOfsuWduKMexi/vVGNSXV6/n+1MRu6RTAqvcYO/m0nPxr0zT56jGDWL6hieXrm7HbVC45eTjvLqjmo8U1nDd7MHkOCy3RFP9+ZXnWvqoiCEUSPPPeZr5Y1cC4IUHOmDEAv6v9TouasKHl9Sfs9fHqurdZUreCsUUjOGngbHxizzWuD1bQHmRm5RTmbp6fGbtw1Jl4FR+mAV6HhctPG8lfn9nZrXHKiGKKC32k1Mlddl3taUtovLNgCx8s2kK/kjzOPXYwJT7HYV8NYVtTNOfDzrJ1jYQiSQIeWYpPkiRJ6jtkMN1FDFPBMnQWwZJB6OE6FE8+pr+KFDsDBSEg6Heybks4a1+/JUnQaKOxJU59KEb9KFdOBWd7xQgcdgsJBYxd4mwhoLqujf+8snO2+8GXl3P56SN58q3VWLZP+9mtKkKQFdQdN6WKvz+zmOr6dEm9dz6vZuWmZm75+hTsu5RLEwIMRUdBIWEk+POn/2JbWx0A722cx5rmDfxw6jexGV0z82s1bZwz9AymV0wmlAhT5Cqk2F6c+bxhGCYTBgf45dXT2dYYweexUxF0bZ8Z7j4m8NQ7a/jgixoAGkJxlq9v4tfXHnnYpzPY2+meZ7UoWC19u7ygJEmSdPiRf7m6kCZsJHwD0aqmkSwYRkrJbhRiGiZfOWogll2CvDy3jdG+VpwbP2RgWbqiwvIWL5bA9rrTqoWC2V/D4s2n+ek7MBY8iyO1s6qGYcLLH67PuZbNdW1c85XReOzpIC7fY+OsowZmbTO4wpcJpHeoqY9QH96Zn5wSCRY2f8FvPv0Lf1/0AFtiWzKB9A5bWrbRmMiu9NHZbKaD/s4BjPePp8xWjmpmB6eKEJQXOJk0JMjgUi8Oa/e3Pm6JacxdVJM1Fkto1DTsuWb44aI038WUEcVZYxedOAzfHr4FkSRJkqTe6vCeHusFKoIu7riwH+tq41hVkypLE45PH0QfchTReAqAd1ZEmHne9fhaqlHsdppffwCtpR6A1Kcvkty6Fvcp3yOFDSEE+R47u4fTJQEXI/v5MYzttamBk4/ox6hBAbY1RCkqcOLdQ4dGu03BoprohmBx0zIeWJhedLgZGFE4pN19bErvCYqESP+XEGDo3ZdfYVEFdqtKfJdOmJDO6T7cWVXBN04dwbGTK2kIxago8lAecGEah3n+iyRJktTnyGC6h2maQWWBDedbd2OmtudGW2w0BifQ2NLATWeVUt44n9Rbr2IdeRSKvSwTSO+Q2LwMb6QB3GVgmnxl1iC+WNOQCZzdTivjBwdRyF7ZZVMFg4q9DCr2AulZ7eOnVPLm/M2ZbY6fVEbeqjnEQ1uwzjyHOavfyjrGlw1rmFk1hbmbduYvH9v/SPKtBV2+ELEjYimDRWsbePuzavqVejlpaj8K82zdkrPssatcfNJwHnhpWWZsSKWfsqAsyQfgtCoMK89jWHn3NPmRJEmSpK4gzD2Va+gjGhvbMkFjdygs9FJf39qpxxRCYI/WkNqyEoTAUjaU9TE/9mQTjjd/gxFtyWwbPO2bNLzyt92PQPCy35DY3oBEiHSXwxWbmnHYVIZW+SlwdyyAjGsGG7e1sqm2laqAleLNb6F++ToA6rAj+LtXY11oc9Y+N0z/P0wDqlu3UuEtpcpdhZ3uqZSxN0IIXvp4I8++uyYz5nJYuOOa6fic+zdzrqoCIQSalvsJYW/3hGaYbK6PsHZ7re9BZT7c9u5POZG6X1f8rpD6NnlPSLuT90TfoSiCQKD9LtFyZroXME2TuLMUMaQU0wQdKHOCrT5E4y6BtDbpQlYmCimqHIO+eUlm3DPxJDRnIFN1zTSh2O+gJL80E0B39COTw6IwrMLHmH55tL30GxLVKzKPGWsW8NVzvsXvFuzsmui2uSi0B/EpBQz1DO1VVSoiCY2X5q7LGovGNarrI/iq/B0+jiNeS3z5+6TqN+AadQyibFS6rncHWBTBgGIPA0s8veq1kSRJkiSpc8hguhfJCbbEzhlMZdA0HttQxGdvrOfimScyYdpknJEafANGIgoHk2ync+Gegjd1+4JHXd9zHoZhmghL9uytqacY0NzCzUd9jyV1K/DY3IwMDMWvFmCaHQ/YO5OqCkC0+1yEEFhUhdRus8mq0vFCxo5kI41P/RIj1gZAfOMyfDMvQBl9SlYVlX3Z/bWxWBQMw+zWb1UkSZIkSep8MpjuxUR+OZaCMrSmGlqKxvPZ/BAAj86t5ymLgt/Tn28PGUyl2rEcXFMY1CRr+HDtp1hUCzMqplBsLQEzN7jUDAXvlDOJb1jKjilvYbHhKBpMqbWM8soKTNPssSAaYVKXquXjDZ8R1xLMqJpCub0cscuHCrdd5cIThvLgyzvraQd9DioKO56zrDdVZwLpHVrmPUdg2AwS6v7n+qZ0k/XbWvlg0RZKCtxMG11C0Ns9OdySJEmSJHU+GUwfBFVVMAxjr4GQsn0WtCMzkJbtNXZ35OWmrHkUnH0jyQ0LiFuCwKbMtinNoD4UQ4iOz7JWJ6q5a+49mZ/fWf8RNx/1PYotpe1unyoYRNGlvyK6fC6KzYlj8GTirjIwO/Z89oeqCgyDPXZc3F19qpZfzf1/6Ea6Usb7mz7hx0d+k36O/pltDMNk2ogiivOdfLaijvJCD+OHFGbKA3ZEu6+vogD736ZPCMHCtfXc++zOFJ1XP9nIL6+atsfGOJIkSZIk9W6yRtcBSOkGq7a08PAbK3l38VbCMa3d7baF4rzw4Qae+2A9W5tjINoPFAUGSmgj0Y+fIPrxE6jhjTS3JXh53kYe/qiRTflTCfYfwoyx2UHvsKp8ivzOdo+5O1UVvL72vawxwzT4tGZhJuDPXI9I5wmby18nsuRd1MqxzFfGM2dJlFBjA1Yj1qFzdui6zBT25tVo8x5BLJuDI7aNfX0+UBTBgtqlmUB6hzlr3to1MwYAq6owsDSPWRMraG6N8/nKOpqjqQ5fnyioRHX7ssZ8R55D0uLt8DF2iGs6T765OmssEkuxsVYuPpEkSZKkvkrOTB+AT1bUZ5U7e8W3nluvmJo147ktFOeWf36Mvn0G96UP13P7VdMoy88NfkVoI+GnfplpGZ5Y9Crxo2/g6bfTzVDmfLSeWy4/gguPH8qYQUEWrKxjzOAgE4YGsakdnCEV6eB5d4ZpbJ8V3hno2+MNND75S4z49vSGL95g0MyruOUjnZc+reUX55bjK+1PZ0xOq/Vf0vD8HzI/K/NfInDBz4lvr0yyJ3t6LumUlJ2viRCCJesb+ctTizJjL81dxy+unNahLoQJaz4F5/yMxJpPSTVswjXsSMziYRxQueo9zOjLFA9JkiRJ6rvkzPR+qg9Feez1lVljDeF4VudAVVV4d+GWTCAN6SDqjU824DJasva12VQSS9/OBNLpjXXyts2nanv9Z9OEFz5Yh8dh4YjhhXz91BF4HFbe+GQzX24OEW+nXNvudM3kxIFHZ40d1W8qgwr68/y6OSxrWUaM9HPQ69btDKS3cyx9kdljCgi1JdhQF8OaDO3znPtiJUHL3KeyxoxEFK12zR722L6NYTKxeExOCsYpg4/F1LPH4prBI69l/3uF25L7NRscdxQhxp6B4/hvkywdn9PJsqOcNpVzjx2cPWa30K+4/VI7kiRJkiT1fnJmej8ZhonWTuWI3atJxBO5qR+xeJLw2w/gOfpSErZAeixpoCfjOdsqWiKTQw1kzpnUTO57cRlfrNrZuOXUI/tzztED95nFW+ms4iczvsmb6+ZS5S+nKdrM3+f/N/P45LJxXDryfCxG7rWbeood5ZE1A0Q7M8P7S2Biasncc2n7TsMotpVw88zv8db6ucT0OMcPOIoqZ2WmPGDmWKZJStNz9tf3c1q9MypvGIbJ5GFF5F1k4635mykJujl2UgUFHrkAUZIkSZL6KjkzvZ+CfhdnzByQNeZyWKgo2jm7qOsGsydV5Ox7/DA78fWLMerWZsbWVIdoLZ+es21r+RGsrwmjKILzTiln1nEm72/7gC2JTUQS2cH3/z7eQHMkNyjdnWKqVNn7c9Xoy5hUMob3Ns7LevyzmkU0JhqwFA1AqNkL4rQRJ/P20jB2m0q/oI2U3b/P8+1LSjjwHnHWbhdpwVrafovyLKagxFrG10deyDWjv0F/xwAUM/ezocumcvasQVljdqtKVVHPzAbbVMHofvn84MLxXHzcEAq9dhlIS5IkSVIfJmem95OqCI6bVEnQ7+Ttz6qpKvFy8hFV+F3WrKCoMujm1ssn88L7azFMk9NHuyhZ/RymaWCkEpntUprBv+drXD7ru3jWvQ0CEkOOJ+7pz9jBFiaN9fBO09NsW7RzJvr8mRdQU2clEkvP4Jom7c6W74muGyS19hdNaoZGwlVJ8MJbiXw+B72lAcvIY3mnroBxA5OcMqmI0qCHhHnwn8NME0TlRApO+w6Rha+hePPxTDyNhLs0Z4Z5T9rrSLgrwzCZNqoEr8vG659uojTo5pRp/Qh47R2uHNIV9nXdkiRJkiT1DTKYPgBOq8L0EUVMH1GMEOmAbfe4zGYmGO5sZPCROm1L3yf10TJMQwdFxVo8iB2JB+VFHurbNJYKP4Epp2EiUHQXr767HhBYva1s21yfdew3ql/lqMlf5dUPtgIwamCAAu/+te8O2AsYnN+PNc0bM2Nl3mIKnUFMA+LuSmzHXIMiDHRT4YQhAoswSemCRCcGoSnFAeWTcFdOxBCCuE6HA+mOclgUJg8NMnlYIYLt/14YNJr1bIvU0RwLU+YpodJVgdW0d+7JJUmSJEk6pMlg+gCl48ncIBpAESbGl29S/+FTuEfOxFU2iGikGdVbgPeIs7NmXgvcVm64YiC/nfdXEtXpGWuHxc5FMy/n/Q9bcTty833bklGGDfax+MsWjhhVzKwJFVj2s+yxO5Xg8qLxfOAuYlFoIyN9FZxQNQ276czEsroBeiYTyCS5/X+7QsrY/7rN+8M00/+14+q3pWp4Y90HzKtekNnmtKHHckrViQhDZj9JkiRJktQxMpjuAtZ4Iw0fPwtAZPlcFIcHZ7/RuI84i5gjHUgndZMtDRFiSY2V2nwS2s7Uj7iWYJu+ip9cfDJbty7AoljQdlkUeFK/6YwL2Ck+ZxRNbSlaoyncdhV1Pxq4mE2bUF+5j+MKyji2tD/K8mWYn8/DeuGdJBVX570YvYgQJvbINuKpNjZqTVmBNMCcVe8wrXQyBWqwh65QkiRJkqS+RgbTXUFLwC4NRYx4G5GV83CMPhYcpegmvPzRel7+cAPD+uXjG9OQc4j6aAOqMPEt/oAfjTqD57d9QV08xOyiURxhC/Dk3Fpe/WxbZvvrvjqWI4YXdrjihLm9gojeVANNNRgAioowUofsslR7aD31T90Bk04gUV6e87iJSdJIgtrOzpIkSZIkSe04RMOm7hXXDNZua2Xx+ibqWxIYniJsxQOztlGcXoSvGIDG1jgvf7gBgLXVYYZ7x+Ucc2blVBKawDV0Gr6X7uM6Rz9uG3IaJxpuCux+Nm7LrpP871eW07qHToztUQvKQcn+LOUZMxvNmtfhY3Q1zTCpboyyaF0T1Y1RDEPD0VaNdctn2JpW71cnRispWuY+DoaOumoB5c4A+c7szoalniIK7AWd/TQkSZIkSTqEyZnpgxTXDP75wlK+WJ2eXVYE3HjZFEaf+i0inzxHfO0CbGVD8M68kITVBybEdqlBrekGyxYLvjL2q3xQ8w4IOGf4qQzw9E/n+ZaPIXDGd4it+oTo+08S3b7fNUd+gzvaHNSH0jPMsYRGQtNx2zs2rZpwFVN43k2E33sELVSLe8wx2MecQMLs2tzljjKBtxdu4fE3VmXGLj5uANNrHsaoTZcWdI+ehW36RWhi34svFTOFFk4v5NRbm7C25HN62QUsCH/A+vAGhhYM4Zzhp2Az9m8hpyRJkiRJhzcZTB+k6vpIJpAGMEy474Wl/PKqaTiPugLX9AsxLE7ipppZu1fod+L32Am1pfOkP1/WTDjk46eX3oBFEdjMnbWHU4oLu7uA6IrsmtDKZ49z9qTv8M+30sH0qIEB/G5bh6/bNAVx30A8Z/4ExUiSUj0kelG946a2JE++uSpr7PG31zPmtONxbQ+mI0vfwzl6Nlpe/30eL6m4cI89jpaPnkYZdASPvlPNqupWxgwZz/TyaaxbHmObV6WgqiuejSRJkiRJhyoZTB+kHbWed9UQjpHSDWyqiq56cgpguG0qP/36ZP79ypes2tTMmMFBLjlpGE5sYOTWyzDjEXZnJuMUexUsqmDqyBLOO3bIAeXspLCBYuuqIh0HLBLX2D392zAhplvYdXmkGW+DDmSmmCbYhx+NV0vQqtvYtjT9QWbJ6maWrE5vc+SofTe+kSRJkiRJ2pUMpg9SScCFEGSVyJs+uhSXXd1jgGqaUO7W+PHpxcSNClxuF7qaPassBNjjDRjhbVhcXoTFltV621bUnyHDBvCnQcNw2hREJwXDCc1gW3OMREqntMBFntPSIx36gj571uw9QL7XTr5WB4BnzDFY80sQpo491UzSlr/P60xY8lAmnEPQiHJMvJYXP1if9XhVced0RRTC3P5vV4tweNC9pWhC1q+WJEmSpEORDKYPUpHPwU8uncx9LyylqSXO9NGlXHDckL0Gt/ZUM+FX/kyqLh3M6W4/BefcRNxRtHOb0Foanr4LU0+huv0ETr6a8MfPkmqswd5vDHnHXEpcOHBZ6bRZ5WhS594XlrJ0bSMAboeFW684gsK87g8E3TaVGy9Lv65rt4QZXOHj6jOG4f78QayTTiKxdT1tS94FQHG4CZz7M+Kusn0e1zAhIVwcP7mSSFzjnc+r8bqsXH7aSMoKDr4koBBgb15D/TO/AT2dG+8eeyz2I84n1YHcbkmSJEmS+hZh9mRP5U7Q2NjW4XJwnaGw0Et9fXYlDSHSCxFTmoHbYdlrIC0EqOs/pPn1+7LGPeOOR53+NQwDbGaM8DO3ozVt3bmfxUbhBbdi2jzoNg8ps/M/By3d2MwfHluYNTZ5RBHfPbEQJRpC+EpIWn17nQFW0LHF6jEizSieApKOQoyDKBqjmyaxpIHDqmBRBFaRQmxZTOPLf8nazjl4Eo7jvoW2P23OhaAtoWFRBE6resDtxXe9J+xmlNCTP0cL12VtEzz/FhL+QQd0fKlvau93hXR4k/eEtDt5T/QdiiIIBNr/BlvOTHcC0wS7qmBXlX3OEgshSNVtzBlPbl2Nx9QwsKDoiaxAGsDUkmihbaTKJ3dJfrMQUNuUW2pubXWY5i++hCWvoDg9BM69ibiz/RlgRRgoG+ZR//q/wDRAKBScch1m5WTMA6wSogqBZ5cKJRpWRLg+Z7tk7XpcRgKEs+MHN008NnX7/+2cF1Wk4jmBNIARDYO/U04hSZIkSVIvIutMdzPDMLFXjc78bMkvxX/UeXgnn4qaCCGEiW5x4+g/NmdfdXud6q5gmjCgLHcl3/SRRVjiTelrj7XROvdJLEJDN6EuHGdDXRvRpI4QYI010vzGA+lAGsA0aH7tn9gTTZ16ndbiATnjrmHT0ZT9CKQPkhDQEtdYX9vGui3hnS3YbV7slSNytu/KfztJkiRJknqOnJnuAWbRYPKmnU101Sd4Rx9F89yn0x0TVQuBU79NqmwcecdcivHaP0huXYOwOck/7nJSntIuva7KoJvLThnO42+sIqkZjB0cxOt1Mi91FFPKQpg1X5LcugY1qfHCvE2ZxjN5bhs3fX0KFXo4q/MjgKmnMGKtYAt02nXq+f3xzbqElrlPYuopHIMm4hhzPPFuyvYRAtbXRvjNw5+RSOooAi49ZQRHjSkhJazkHXs54VfvJVm7DsXuwn/8lSTdJd1zcZIkSZIkdSsZTPeAlOJCGX8mgSGTqX3kNmxF/XBPPJmUsNGmeLAlo8RshXjO+BFKLARWBymbv8tzw62q4Mgx6Xbnum6wenOIJ7bXeh56xnHk1XyJc/AkNjdrmUAaoCWS5MFXlnHjecMQVgdmKp55THG4Ee78ds+nCLDGGzBjLQh3wfaKHPt+jpqwoww/gcDASWDoGHY/cawH9+T3Qyxl8OenviCRTH9wMEz4z5wvGd4vn2Kfg7i9CM9ZP+nWfztJkiRJknqGDKZ7iGEItHgMR+VwrCWDaP7fvWAaqB4/kaO+hbVoAB67HZzb0wO6KRhrjSZ55NUVOePNCQvBssG4Jp9J06ZEzuOrNoWImA4CZ91A0yv3YMRaUd0+Ck77Dgmrn91XLSrCQN38OY2v/RNTTyFsTgJnXk8yMLxDAbVhQsLaM62/2+IpQq25r0Fza4JiX7piR4ru/7eTJEmSJKn7yWC6BynuAlyDJtD09kOZMb0thGPBY9iPuRKHaUFzBtHMjrUI7wxep42SAhfbmqKZMSGgdOBAPBN/RBw7wfxozn5jBgVxWFWSgeEUXHwHxFvBkUfC4m03OLbFGqj/398z+dVmMkbTy3+h4OI7SFh8XfcED1JCNwFBYb6T+uadCzaFgKBPlr6TJEmSpMONXIDYgxL2fIQ9t7axVrsOa/UC6v97I6lPnsCm53ZA7Co2VfCd88fh96ZrS1stCtd9dSwFfm96thUozXdyyUnDUZR0hY6SAheXnTIchXRVjISaR8JdTkL17rGMnhFp3rlQccdYvA3iLV323A5WUyTJ7Q98wq3//JivHD0Ivyf9etgsCt86ZxwBb8fbuUuSJEmSdGiQM9NdTAhoiWnEkhp+tw2bqmwfF0QSOh5XUc4+tuIBpBprAJO2L15PV/8oya3u0VlsZgwRbQabg6StgLJ8J3dcPZ3m1jhupxW/y5oJiu1mFHusmVPG5nHkyBk4kk1YFJ2osxVN8WIxOhZQKm4/CCUroFYcbnB0oDd4DzBI50VvbUzPyj/y2gqOn1LFmMFBKoo8OJScTBZJkiRJkg4DMpjuQoZpsmhtE/e9sJR4Uqcs6Ob6CyZQmGdjzdYW/vLUIkaUObhkwlmYX7yUzpl2+/GOnU3jW//JHCe5dRVK2bguWcTmjNfSPOfPpBq2IKx2/Md+HbPfETitKs7tHQF3BImOWA3NL/0ZLbQN96iZuFw+Wj77X/q6q0ayafwMiopH4BP7zmVOOgspOOU6ml77B+gawuag4LTvkGwnv7o3iKd0lq5rzPwcjWu8+ME6qoq9TBtdKovuS5IkSdJhSgbTXUQo0BBKUtccY3CFn6XrGqlpiHDv80v49rlj+d2jC0gkdT5ZnSQcK+cr03/A8DI7arSJpjcfyCoxZy0aQKoLAmmrSBF++wFSDVsAMFMJml/7J4UXV6F7KrK2tZlxQq/eixbaBkLBFqyg+b3HM4/rm5ZTGihhTttWzh16NorRfp53UjdojaVwOax4qqYQ/NoAzFh4v6p59AS7RWVwhZ/Vm0NZ4wGZJy1JkiRJhzWZM90FEprBKx9v4uZ/fMSTb63C7bRy5lEDAVi3JUx9KJ4pqwaworqNu16uZbNZhlo4ANW9cwGeY9BERPGQLrlONdlKonplzrjeUpszJhKtpOo3pfdz+9BCuV0I1fXLsOoacTO3kyLAtnCcXzzwKT+650Nu/sfHrNnWRtIRJOkfRMKa3xsnpDNUAVecPhKva2cJvtNn9Ke0IDfnXZIkSZKkw4ecme4C67a28vz7azl2bIBhRSpbwgaGIijIc6AqgnyPHUURWWkbdquKx2Ulbi/Ef+6taOEtCNWC4i0jyUHOfgpojWmoisBtVxFCYE2GUUwd14gZRL/8MGtzxZVbF9q0uVC9BeitTeixVlRvO9sU9yMuwCZsOS3P45rB7x9dQGM4XYO6uTXB3Q99zl3fnIHPeWC3oc2MoaSiGDYPye2LIztCFQaqFqE5qSJUOx6HpUMpNCV+B3decyR14Rguu4VgngP1wLqkS5IkSZJ0iJDBdCdTFMGy9Y3c+pUSCpY+gT5/A0N9RWhHXEZbJMiRY8sJ5tn4vzNHcd8LSzHNdPOSa84eg89lJWHGeL1mHq+sfguAUwYfw+yKmdg5sBnQSFLnuffW8e6CzdhtFi46YQhHBptpefUvmMk47hHT8R35VcIfPQuAZ+LJ6L6ynOOkVDf5J11D43O/297VsA175QgSm78EQHX7aRg6ntmF/dtdhNjcmsgE0jskUjoN4Rg+p3e/npMQAnt4Hc2v/gMttA1rYRX+k64h7irf5752LUxjTTXPLtF4f2kjdpuFr500jMnDC7Eqe/+ixjTBbVcZUOTZr+uVJEmSJOnQJczemqTaQY2Nbd3aXa6w0LvXxWZCQG1tPe53fosRrts5brXju+hODGcA00wvTmxqS9LcmqAgz0GB10Y0qbMu+iX3fv7frGNePfESJhSMx6q1IAyTpDVvn31AhICkYfLW51t4cnsXwx1+ekYRJR/+nh3Tx3lTT8c2YCKoFnR3CZpovyKHECa2eCNmSx3C5UO4/Bgt20ilYsQ9PlIOH17hazfvuSWu8ZO/fZiV3gLwm2/NoNDb8VllAHsqROMjP8VM7kwnUb0B8i+4nYTi3uN+iiIQq97hheogz86ry3rslsunMqD4wILkfd0T0uFJ3hfS7uQ9Ie1O3hN9h6IIAoH24wQ5M93JTBNKHXFC4exgzUwlUCMN6I4AAIoQBL12gl47rQmNB15ZQUM4hn/MopxjNrVsRWkO0/j+46Cl8Ew5Dduo40mq7f+jGiYs39jM8vVNfLE6N7d5dT2Uu33okRAAkeUfYh17Kkll77PfpilI2INQGNw56BsEgH37f/b02czntHD1WaO55+lFmdzoi08cRsCzf4E0gNlanxVIA+itjRBpBO+eg2mLESfU0soHK3PPubo6xMCS9hvMSJIkSZIk7YkMpruAxeFGWGyYWjJrXDjaCX4FvP7pRoKFUFzsQXH3YwlfMqNsLCeWjMeuWvDFYjQ//6fMLq3znsfvzkcMntXuor1toRh/eGwhIwcUUBp0s60xu2NhkVfBiO9sBGMNVmKq9pw8585kmjB+UAG/+eYM6sNx8j12CvPsKPvIOU4ZJppu4rQpmetr73UUqhVh23MgDWAIK3aLoF/QkdW9EKAo3yUDaUmSJEmS9pus5tEFkvZ8/Md9I2vMe8RZ6O7cBi2tWgRL2Xo+iD/Kx4knCHrz+M3Uq7nUUoJzzn1Y334Mbd0XOftFl76DReg54wCba9sAWL6+iUnDi3Had35m6l/qZYinFVNPAen0E++R55HqhpblgvRs/IgKHyX+9GLMvdlYH+GX/57P9f/vfR59czVtifTz1VyF5B15Tta2/tmXkdw+678nmqngHjyBs8c7sl6TgWV5DC7vnc1iJEmSJEnq3eTMdBcwTYHZbyrBS6owWupR3Pno3jI0rFnbCQErwit4fePrAMRScZ5a/iIzJ1xKsmkrAFq4Hme/MTnnsAQqiYtUOiA1sj8T5bl35jw/9vpKzjp6IDarSnmhm4qgG58Sg+CNmKkkSn4ZCUfhQTdKsZJCGEk01b3PfO6OaGhN8KsHP0XffrA3528mqRl846Rh6FiwjDqJYNUYjEgzqreQlKekQ+dNuMsZUOXi118PUhM2sDnslAbzcFrl50pJkiRJkvafDKa7iI4F3V0B7oo9bmMqOu9s2FmWbnRBfy71jyD86v2YWhLP6FlooVqE3YGaF0RvaQBA2Jy0Dp/Ine/dxfiSUZw+6HjyxM5Sdf2KPQypTDcYicRSPP32aq66YADP1DzBub7TcLgHIgLDd7mQA49+hQB7eAPh9x9Ba96Ke9Qs7GNOIGH1H/AxAWoaIplAeoe5X2zh3GMG4bFb0IQNLa8/5PUntR/HNU2IW/PJK4C8fTdqlCRJkiRJ2isZTHchIUySIokVGxi5KQ0ChWJ3IRtD1QCcUzAS89V/o21/PDzvBfwzziE8/38UzLoQTBPT4WaZ0cb9X75AJBXlw03z2dKylRsmX5spSeeyqXzv/HFsqY/Qkoji8sdYHlpEbVs9f5x3Hz876nuUWcvT9aaNGKZiIWUe2K1gj9VS/9SvQE9fdetnr2DEI1hnXIZuHvhsr8uRez0+jx2LRc4gS5IkSZLUe8jIpIu0Eub5Da/wyw//wMMrnqDZbMzZxtQFpwyejU21UuQO4t26MWeb6NqFOKtGgaGzzSzg/VApHzbVEkntXFS4IVRNc7I5az+XVaWqwkrEvZpn1zzL6qb1nDPyVIYEBrCiYQ02I4qy+i3CT91G5OW7cYTWoIj9n6HWm2oygfQOkWXvY0217PexdlUedDNiQHZjmP87czROGUxLkiRJktSLyJnpLqArKR5Y+BirGtcB8HF1M182rOHmGTfgNHdWnBBCEFBL+Mm0G1jdUI27pYbwbseyeApwTjqVlTUx/vZ2I43hWi48fRzLrEuIpdJNUBShYFNza0Ovb9nAE0tfyvz82JIXuGTs2XhtHvS1HxF652EAtFAt9U/dSfCi20l49pyWkr5m0E1QhcA0TYQ1tzuj4vRgKgd3azmtKt/+6jg217XRFktSFvRQ7Lf36pbjkiRJkiQdfmQw3QWaU82ZQHqHULyFulg9/RzpYDoUTfHG/E0sXtPI6EEFlAVLUApMFKcHI5auxoFqwTV0Mn95K8S8FTtntud93sKoKSP5bNsCAM4adiI+1Q/GzvMpFnhj3Qc517aueROXDTmJ1lcezH7ANNBq18IegmkhoKY5zvPvraW2KcqJR1QxYUgQW0ElttJBJLeuzWzrn30ZSdV70IsanVaFobLKhiRJkiRJvZgMpruAVbEits/c7sqmpKt5JDSD3z+2kC316aB5S30bgyp8TDjKjm/yKekg1DAQNidtG5bRlpiQdRy/18bJg49mZNFASjxFlDnLcnOyTYHf4cu5tiJ3EItwoTg96K1NWY8pNiftF9uD+tYkP79/HiktHbHf/+IyLj5xGCdMKifvlO9hNqxHj4axBCvR8iplzWZJkiRJkg4LMgG1C/hUP6cNOT5rbGLpaAodhQDUhWKZQHqHtdVhatViwp++QujDZwnNe5Hm9x/HMfoYNtTubLCiKIKzZw2m1FbGEcGp9HP0x2rmpngYusmJA49GVXbWj7Zb7EwuHgN1q8mbcCKwMwBXPX7U4kF7fE7Vta2ZQHqHF95fSyxlkLDkkSwZhz7waBJ5A9DlZzRJkiRJkg4TMurpRIoiUFUFTdM5vvJohgUGsiFUTbm3hCpvZabaho1ku/urDieRU6/E0bAFoWuE/EEe3/I+t/7fhazZ1EoiqTOsXz4lfkeHuhUWW0u49agbWN28DlWoDMkfSElzHQ3P/RZrYRUFsy9Ba23Ckl+KWj6SuG3PTU/aq6LhsFtQ9tXCUJIkSZIk6RAmg+lOEjKb+HjT56xr3siRlZMZ4R/GQOcgBrkGp1Metge/iiIIRNYxdaiPT1ftXG543PhCSoKCH7z9BHbVhqIoxOrSCwxPGlTHtOH9EGJ7GnJHMyhMQVAtorCwCNMEq2LQ+sl9AKTqN9H0zsMoDjfu8SegO4LsretJv2IvgTwHjS3xzNilJw/Hrgq5KFCSJEmSpMOWDKY7QZRWfvfx32mOp4Pj5fWrOG3ocZxWdSKmkbu9rXUrF5anOGLAUNY3GgwOKgyy1SPoh0CQ0JPsmrysiPSs8K5Bq6IIhBDoupE1ZrEo6LqBru/ceMd+JiCs2SkhRjyC2CUVRFXT59r1uABeh4WffWMKyzc0UR+KMW5wIZVB1wEF0kKkz6PrhgzEJUmSJEnq02Qw3QlqorWZQHqHV9e8y6yK6bjJrkZhGCaOgROxPP5zhphzGO72o21oJnDOT4grHo4bMIM318/NbD+4oD9FjqKs2ei6lgQfLq6hNZrk6PHlVBW5scWbWFef4P1lzTgcNo4aX0FxvjNrP81Q8E45k/j6Jex4QKhW7AMnEjNMappivPdFNYpQOHp8GWUF2fv7XVZmjCpGCIFxgD3DI0mdpesa+WJ1A2MGBxk7sACPXd6GkiRJkiT1TTKK6QTtZQ0riD08Agl3GcELbyOx5jOMZAzHkKkkff1QUDl90EkMDQxiaf0KBvr7MzIwBJtpz+xb35Lg1n9+THL7YsB3F2zhH9eOYGVtK3c8V53Z7vX51fzy6ukU+7LrQCf9AwheeCvx1Z8irA4cgyaTcJdT3RDl5/fPy8wUv/npRn5x1XTKC5xZ+5smB1ypQzNN/j3nSz5fUQfAJ8u2MXZwkG99dQxWmXstSZIkSVIfJIPpTlDmLiHoLKAhtrPU3KlDj8OjeNtN8wDBJpuVL4uCJLUUAxSVgqjGh4vSwfCUEYO4eOgYDCM7DUIIWLq+MRNI7xjT25p4aVH2okZNN/l8RS2nT++fNYtsoJLIG4A6ZSAAccPEoiq88emmrHMZJry3sJpLTxyWk/JxoBpbEplAeofFaxpoCMcpzXfuYS9JkiRJkqTeSwbTncBpevjBtGv5vHYR65s3M7V8PEPyBu8hkIa6VC13fvj/SOkpAASC/xtzJa1Rwfwva3nrs83c9PXJFOXt3l1wD+kVQqC3M6y3N7jd7sfR2gmYtb3sfyDam9DO99oRclZakiRJkqQ+SgbTnSRP+Dmu7BiUCoGm7XkmNyFiLKxdmgmkAUxM5m79gNPHncf0YT4q9M2w7nWcgyeQ8JZjmDsWIJqMHhjEoq7KBLqmCYrLx+lj21i2vjlzTEXA5JElHcpt1jSDk47ox7yl2zJjQsDsSRWdNisNEMizM3pggKXrGhlQ7mH20R4atM1sSC3CaQ7BJwo67VySJEmSJEndQQbTncgwzL0Gr5qS5IU1/8Ou7D7jDEk9QSiS5M+PLeWaE8oYs/Id6uY/T+H5NxP3DcxsV+y384urpvP6JxtpiSY56Yh+qP48Rjoa+NkFbl79ogmn3cLJR/SjNL9j9agBKoMubrvyCF6dtxFFCE6aVkVFwLXfr8HeWBXBVWeNYuGqelxFTTy47N+Zx7w2Nz+d8V18Ir9TzylJkiRJktSVZDDdjRoSDby3YR7fnPIN3lgnMHeJdKeXzGTRkkYAHplbz69mHo/4/Cla57+E88Tvou1oF25Cqd/BlaeNwAT07bPgujPI0MEKI4dXoevp2eYO16MGFCHoV+jmm18ZDZh7TRE5GF67hZnjC/ntp09mjbcmI6wNbWBivgymJUmSJEnqO2Qw3Y1ShgbAcyv+x3emXsG7Gz8mnkows3wGekuA9xZ8CUA8qWNY7KiAGW9DpCtEZx2rvVSSdH3pg7vGzkzr2OM5TINYKpYzntATOxvTSJIkSZIk9QG5PaJ7wGWXXcZpp53GWWedxVlnncWiRYt6+pK6RJGjkCJXgK2ttfxl/gO4rA6uHP01XpkT596nvsxsd/LEILa1HwDgnnQqKaNj/0wpkWBjfAOfNs5nfWwdSeL73qkH2Ew7pw45LmtMEQqD/P1lIC1JkiRJUp/S4zPTpmmybt063n33XSyWHr+cLmU3nVx/xNW8ueF9ltev4piSMXgWvcRVR47hhaUqNc0pjh0b4IhyHeUTge/072CWjOzQsU3F4I2N7/LK6rcyY8cNmMlZA09FNXvX62qaJuMDY7BMsPDa2nfJd+RxxrCTKLYWy2BakiRJkqQ+pcejrHXr1iGE4KqrrqKxsZHzzz+fr33taz19WQdNFylqE7XURxvxO3yUOkuwmQ58Ip9zB52JNkjDG9pE7eev4uFVvl4xEn1QEGXVEgIjrid19s/QsGYFlynDpKYxSkM4TiDPTlnAjU1Np3+EtGbmrH476xreWj+Xo6umEVSLuvOpd4gNB5MKJjA+MAZFqKALGUhLkiRJktTn9Hgw3dLSwvTp0/n5z39OPB7nsssuY8CAAcyYMaND+wcCni6+wlyFhd69Pq4bOq+sfIuHFz+XGTt2wAwuHX8ObtvO5iRt9asz/1+rXp7eFyCVwB/MLhOX0nSefms1j76+MjN2xlEDufSUETjtFhrr67IWNO5gKPo+r1c6ePI1ltoj7wtpd/KekHYn74m+T5gH2hu6i/z73/+mpqaGm266qUPbNza2daiWcmcpLPRSX9+6121azBC3vHc32vYFhzvcetT3KbaWAGAxE1jDG0luW4vpK2dj1ElrW4JyazOlw8YSVX1Z+zZHkvzorx/mPNe7r5tKWWIDhpFipRnl3jWvE92+uK/A6ednR16Pw2ynxJ2AhpYENQ0R3E4r5UE3DkuvSKHvczpyT0iHH3lfSLuT94S0O3lP9B2KIvY4gdvjM9OfffYZqVSK6dOnA+l82r6eO53QEzmBNEBMi4EVVDS0Ja/SPG/nzLVv8vn8e3GAaNLCjQPc+Hbrrh1L6u1+aGipXov9wz8CUGx3cfPpV/PL5c8yIjiYrw47rd1AWghYu62VO//zWeaY44YEuebM0TisMqCWJEmSJEnqqB6PnFpbW7n77rtJJBK0tbXx3HPPccIJJ/T0ZR0Uvy2fSl9Z1pjb6qLQGQTAEq2ndZdAGkAseIazxrupbYqxbH0jYrcO24E8OyUF2YGxz2OjILE187OZiOJZ8Tl3HXMTV4z6GvlKoN3rS+gm97+wLCs4X7S6geqGyH49z4RmsL6ujeWbQjRHUznXLEmSJEmSdKjr8Sng2bNns2jRIr7yla9gGAYXX3wxEyZM6OnLOihW08Ylwy/ipbVz+LJxJf3yKjhr8Jm4SH89YCbaCVoNHYdItxivaYgghGDXDBy7qvDDSyby0KsrWLK2kWFV+XxjViGW136ZlSmtNWzGY1r2Wk4vpRnUNUdzxttiqXa2bl8sZXD/y8tYuLI+/ZwtCrdcPrXTuyZKkiRJkiT1Zj0eTANcf/31XH/99T19GQfFZrRBqAYMnZS3lN/ev4pBVRM4dcAMqrfGufuttfzqmiKKfQ6EtxDF6cGItWX2V70BPBU+LjlPMLI0v92UjgK3je+cM5Z4ysBhVXA0LKcxmV1L2jX6GDTTyt7aH7rtKjPGlvHBohoAKgudXDTVywhHNba2CLqnBA3rXp9vdX1bJpCGdID+4MvLuemySahyilqSJEmSpMNErwim+zp7qonwS38k1bAZAMUb4FvH/x+/eWkri1Y2ZbZri6Uo9jlIWPOwnfx9Uh/8G71hE9bSwbQdcTK/XfovknqKt2rz+PH06/CL3DQNBXBtz2s2CgbhP+4bhOc+iakl8U46FbX/ZPR9rSk14ZzZg9ENk5WbmvnBDBAf/IEWM9390DfjPNRRJ6LvJaBuiSRzxqrr20jqJk6LDKYlSZIkSTo8yGD6IAkB2qbFmUAawGhtpDL8BWXBAdQ0pNMp7FaVwu2rChtbU/zsP5s4dsx5DB1kxV1h8pfF/0HfHsyG4y28veFDzh10JsZeuntrih1lyGwC/SeCaZKy+kh2sLBJnsPClaeNQI030fL4zzDNnScKf/gUwf7j0d3le9y/JODOGTtyTClOqyr7gUuSJEmSdNjo8QWIfZ2iKCS3rcsZtzSuYcLg9MxyYb6Tn359Mj5X+rNLSzRJUjN4dWE9T30a5pP6LzOB9A6rm9ajp6tO75VhmCTUPBIWH/tbIVAAVj2GmYzlPGZGw3vdtzTfwXfOG4fbmZ69njyiiLNnDZKBtCRJkiRJhxU5M32QdN3AMWA80WXvZ407R8zg7EFDOW5qf5x2Cw7Lzg5/wTwHTruFWEKjrjnKcY7+wLys/adXTMKCiiXRgBlpRrj9pBxBDHP/UyiEAFsyhNlWj7B70FyF6Dv+6Z355E09A8XuQCBINtUQWTEPkVe412MqQjBpSJBh1x1JSjfIc1qRyR2SJEmSJB1uZDDdCUTxMLxTTqf18/+BYeAefTSW/pPQhYnflZ653XXCNs9p5cdfm8RfnlpEU0uchmoHpw85gf+tfRvDMJheOZHJJeNRaxbR8MpfQNdAUSk4+VqonLzfAbW9dRONz/4GI56uIpI3/atYRp+EJuwILU5swxJSdRvS25YNofj8nxFzBPe2hhFIz4q7bCqg7tf1SJIkSZIkHSpkMN0JkqobdeI5FI6ajWka6I4CEuaeA0zTNOlf5OZXV0+j7f+3d+fxUVX3/8dfd9bMJJN9IYBsASUQFkXWCrigIKhoFQuKS9W6VH9YfZY7iQAAIzFJREFUHrZi1aqtS0XbL9atahW3Ly3FFTcEd7+A4spqkE1Q1uxkm8x27++PyEBIIGFMmNC+n48HDzPnnrn3THIf8s7hc8/xh/B5nCS48jmh82BMLJLtKSTUVVD61iP1QRrAjFC28HEyp3Yj4D74rPG+XNRRsejxaJAGqPzkZTK79MNM60Fg3dJokAYIbF9PsGQrJHc/5O+DiIiIyH8b1Uy3kohlUOfKIODOInyQIL2HZUGCw0amz43bYcMyDXxGKilGGoZpw/Lvxgrvt2JGJNxsLfP+bKFaQiXbGrWbNeXYbBaBzSsaHQv8UIjNpltDREREpDlKTO2U4U3DcDXcU9xwuLAlph3SeSLORFwdejRqt/syME2DhJ7HNzrm7tYf82DLiIiIiIgIoDDdbgVdaWSceT02d/2OgoYrgYwzphFwpx/SeUK4STn1Cuy+H9estjlIGXoWVl01mGGceUNwd+0f7e/pPRxbxz5alENERESkBVQz3Q6FLaioqsPl7UnmRfdhVJeCJ5mQOx3rUNe/A0x3KkkFozDs9eUnNWs/JbTsdTIvuoeAJ5fEsdfhqykGw4bpzSTYzO6HIiIiIlJPYbqd2e0P8cT8NRRuLsNhNzj/lKMZPbALTpvBIS8k/SOjbje7P3mlUbtZWQqeXEK44CAbtIiIiIhI01TmEWeGAS6zBrd/Fy7qeGPJZgo3129BHo5Y/HPRt2wtrmnmLOCyArj9u3BHqjCM/ZbOcydhT0xp9B5b0qHVX4uIiIhIQ5qZjiPDMHBXbKTsrUeIVJViDL2Azwu9jfptLa6me07SAc/jqdtJ+dt/J1S0BZvHR9rYKwnn9MW06n9XCjp8pJ3+a0pf/euPK4QYpJ54IeHEnLb6aCIiIiL/FRSm48gVLKfk1b9gBWoBsO0qJC93JF9vaLgkXnaap6m315+DAOVvP0aoaAsApr+K0vmzyJp6D3WeDkD9MnzBjGPInHovZlUJNo+PkDebiDZbEREREflJVOYRR1Z1STRIA0Q2L2fSABc+794HAIf2yaFLtu+A5zDqdjfYdKX+xCaRyqKGTRbUudIJZhxNnTdXQVpERESkFWhmug05CWEP12A6PARxNzpu8/jAsIFl4u7cG0/XvviqCpl55Xi2lZu4XXZy0jz1Dx8e8CIebN5kzNrK/c6d3NofR0RERET2ozDdRjx1u9j9wbMEfvgGZ1YXUsdcTiC5a4P1m4OeLFJPnIoRriOwYyMVS17G7ksnrUtfvB17R2ueDyboSCZ97JWUvPo/YNVvtJI06HQivty2+mgiIiIi8iPDso7s7TlKS6sxY1wyLhZZWT6Ki6sO2sdl+al8+U5CpdujbYbLQ8aFdxNw7t10xWGEcUT81Cz+J7VrP9l7AsNG1gV3UtfC5epshoXLX0RkdxE2bzKRpFzChuvQPpjErCX3hPz30X0h+9M9IfvTPXHksNkMMjKaXgxCM9NtwKgpaxCkAaygH6uyGDLqw7S9ahtVHz9PUrcCatd+2vAElkmkYkeL1342LYO6hBxI0OocIiIiIoeTHkBsA4YrAcPeeBdBw50IgD24m6rX7ie8bS2RmgrsyRkH7Nsm4zMM3JYflxVg/yWpRURERKTlFKbbQNCdQcqJFzZoSzpuHJHEbADCFTuJ1FQAUP3NElKOH1//IOKP3F36Yk9tm5pnp+nHtvEjyufewu4Xb8e5Yzl2Qm1yLREREZH/dCrzaAOmBfa8n5GZ1R2zqhhbYhpmcidCP9Yx29x7N2axgn6qlr9D2ujJGE43VsBPeHcR4aKN0HFQq47LMIBtq6h4d3a0rfS1B8icdAuRtF6tei0RERGR/wYK020kgpNIcldI7tromJHSAVe/0wiuWgRAqGwH4coSAtvXE9z5HQDusu14jxpEONJ6Y3IYJjXLFzZqr9v4JfYhRx/WBzlFRERE/hMoTMeBiZOEwWfj6nEs1JSRkOCi5psl0SANYE/OorWjrWkY2JIzYcfGBu32pHSO7DVdREREROJDNdNxYjm8GDn5GD1+hpHehcC2ddFjhsNF4sCxRFpxVhogEjFIGjQB7Ht/h7IlJOHqNpAjfIVEERERkbjQzHQ7EPDkkDH5j0SKNmFFwjhy8gh4c9kzXeyw1/83HPnpS28EfF3IuuBOwrs2Ydid2LN7EEjIpNWnwUVERET+CyhMtwOWBXXuLDgqC4Dwj402TFy7N1P9xZtYoToSB52OmXn0T9qQxbKgzpML3epXCwmBgrSIiIhIjBSmfwK73YZhQDhsNnncMMDhsBOJmE0+3GcYBg6HjXDYxLIsHI76qptw2MThsOGq2cmuf9/JnrRb9/0aMs75LWQVtNlnEhEREZGWU5iOgWGAu3ortavex6wuxztgDGZmrwYzxjXBCMs3lLBs9U765WUwtG8HkhP2frsr68J8sbaI5euKGZyfTc8uaby55Ds6ZibSLTeFD7/aii/B4OTRvyX1q9mYVaUAVH/+Boln9CVkarcVERERkXhTmI6Bu2Y7JXP/iBUJYU9KI7L0RZKGTsTIHYhl1a8z/a931rF01Q4AVm8qZemqHdx00SDcdhvBiMUjL61k/Q8V0ePD++XSp1s64YjJX+Z8Gb3W/600uOPMi/F9PAsAw+nCUo4WERERaRe0mkcMQtvWgmFQd8I1fNz5cp7nbL4u9RIO1e8kWFYdiAbpPbbsrGJnmR+Aogp/NEi7HDamjutNSpKbws2lYMCwgr27H4YjFqtLHNi8yQD4jj+zVR5EFBEREZGfTjPTsTAMgsdP4c/vh6moLgJgaSFcavo4cUBHDKPpsLuned/jZ43K440l31FRFag/z6qdTBzVg+w0D4ZhEAxFsLsSSOx3Eu7uAwmmdNUDgyIiIiLthGamY+Ds1Jvt5FBRHWjQ/u9311MTiJCW5GLUwI4NjvXomExOWv024tkpCeR3S6s/l8MWDdJ7FG4p4eLzcxgwuogTxtbQd2AS9uN+TiC5O6alH5mIiIhIe6GZ6RgEvB2xJzuBnQ3aTcvCwsKwmQwYBNkdOrLxuwBHdXKR29nEcATBcuO0G1x9dj+WbyhpdG67zeDEUR4e+fqxaNvH2z7i1hN+Q4Y9q60/moiIiIgcAoXpGFiWRacOqSR5nFT7Q9H2c0bnkeS2UxYu5alVT5PgcNOxew7LasqoXFvFUZnT6OjqDECGw88pWUWUe47ihX3O0//oND4vXdLgesFIiDUl3zK6Q7Z2KhQRERFpRxSmY5TicXD75UP54KutbNlRyUmDOtO3WzqmCRHLxMLCH65jY9mW6HsiZv161E4rQO3i/8W/bhm2xFTumHIT76+uYEtxHWcM78zL2xc3ul4wEsQwopsiioiIiEg7oDAdI8uCjCQXvzgpDzCIRPZu3JLqTGNAhz6s2PlNtC07MZNsTxZYYKsuwr9uGQBmTQXOV2/i7B4DSZn8K2qsRMZ7T+Hhz5+OvtcwDAqy85vc+EVERERE4kdh+ieKRCz2X17Dbjq4sM+59Ervwefbl9MnsxcjjxqG2/IAYJmhRufxb1pOYlUZJCXSK7kn04ZcxtsbP8Dr9DK+1yl0cHbQKh4iIiIi7YzCdBtJxMcpHUdzYqcTsFk2rH13HPfl4EjrQLh87wOMrtyeWIn1Dxg6LCe9fb056thO7KotoqSmFK/dQ7o9UzXTIiIiIu2IwnQbMk0LA1ujCeWgLZG0s27Av3whdd+vwdPjWBL6nUKdkRDtUxYp4Z4lD1Ebqt/oxW13cfMJ08i0Zx/GTyAiIiIiB6MwHSd17izswy8keWiQiOGmbp/EbbMZfLl9ZTRIAwQiQT7YsoTJvc5tUJ8tIiIiIvGjMB1Hpmlg4m5UC20YBkW1pY36F9WUgKEyDxEREZH2QtvpxSgUMfm+uIaV35WxvdxP5BBrmUOmxQ8ltazYVMa2sloi+6zUEYmYDOt0XKP3nNTtZ0TCCtMiIiIi7YVmpmMQsSxeX7qFN5Z8F2371cQCRvTNbvig4QGYWLzz+Q+8+MGGaNsl4/MZPSA3OkvdxduFqwZN5cXCNzFNk4m9x9IrOU8reoiIiIi0IwrTMSjeHWgQpAGeffMb+nRLJ8XT/Le0tCrISx9uaND2v2+vZUDPTFK9TqB+RY8Bqf3JH3EMYOGyPHtX8jCgtDLArnI/SV4nHdK8uOxGq3w2EREREWk5hekY1NQ1Xic6GDapC4ZbFKZr/MFGOxlGTIvaQCgapqF+Yxin5a7/+scpacOAddsqmfn8F+ypDDnxuM5MOaUXTgVqERERkcNKNdMxyE714HE3DM0dMxNJ87lb9P7kFBu+fUKz3WZw/pheVAdCbNpVjT904FoRf8jksVdWse9miB9+tZUd5bWH9iFERERE5CdTmI5BssfJzZcMpnN2EgD53dKZPvlYXLaWzQz7KeOCszvQJScRgMvO6sPHX2/j3me+5K6nP+PuZz9nt7/x7DdAXShCeVWgUXtlTTDGTyMiIiIisVKZxyEwLYv1P5RTUu4nKzWBP1w6mLpQBK/Ljt1oGKQNw8JdV4JZVYLhTSXszSLy47c71Z3KQz/8D/2H92eMrzu7fqhkZ+nemeXtJTV8XljEacd3xjQb1oP4Ehz06Z7ON9+VRdtsBnRI97bhJxcRERGRpihMt1DEsvhw+XbmLPwWAIfdxu+mDuLojsmNtvi22QwcO1ZS/PqDYIYBg9STL8becyQRHCQZyVw/5Aqe+GoOJcFdRH4Y3uh6a7eUMW7IUY3CtN0wuPzMvjz52hoKN5eRmuTmqnP6kdHCEhMRERERaT0K0y1UUhmIBmmAcMTkkRdXcM/Vw/E67Q36OgPllC74+49BGsCi4v3nyOzUm4gnF8uyyHV24vfDpxEw6yhMCLJqY8NNWoYV5B5wp8M0r5PpvxhAtT+M22nD63I0CvQiIiIi0vZUM91CFQeoU66pCzfuHKjGCvr3a7SwanY3aHGZCfhIpaB7BqcN7YLNqC/ZGDesK327pTVa8WNfDsMg1evE47QrSIuIiIjEiWamWygr1YPNoMEqGh3SvSR7XY07e1KwJ6USqa7Y22ZzQFIG28v9OOw2Mnxu9qxk53XamXxST8YN7QpAaqKzweYshmFQVReivCqAz+tqdFxERERE4kNhuoXSklxcP/lYHnt5Ff5AmMzUBKb9YiDuJtZ2Djp8pJ/5G8pef4BIdQU2t5eUcVfztwU7+PzbEgBGDezEL07piWefEpHoGtMNgjRsLq7mL//7JTV1YRx2G1edXcBxvTLRqtIiIiIi8WVYR3iNQGlpdaOH9NqKzWYQtKC03E+Kz0WC/cBVMjYbGOEyItVl2L0pfPBNmGfeKmzQZ/rkY+nXLe2g1/SHTG554pMGZSY2A+699mdkJumhw/YgK8tHcXFVvIch7YzuC9mf7gnZn+6JI4fNZpCRkdTkMc1MHwLTtMjN8uFo5vcPw4Af6rby0OezqQpU43a4Oa/nuXTI8LCzdG8t9YatFQzokX7QXwaq/MFG9dqmBWWVAYVpERERkTjTA4htoJYaHvn8aaoC1QAEwgHmfjuXU05Ib9CvZ+fUZmfVfR4XKUkN67INA9K1FJ6IiIhI3ClMt4GqYBW7Aw3/2SZimTg8e2eYR/TLpWfH5GbP5XXZuP78Y6PblzvsBled3Y8MXxMPPoqIiIjIYaUyjzaQ5EzC6/RQG9pb0mEYBn2P6sidV/bEYbeRmeymLmRSXhMiOdGJ/QDnsizonpPEzGtGUFYVwJfoItXr1MOHIiIiIu2AwnQbSDR8XDVoKg9/9jQhM4xhGFwyYBIZjnSMdBsRy+LLdSU8+1Yh/kCY/j0zueyMPiQnNP3jsCyLpAQHSQc4LiIiIiLxoXTWBizLomdiT/40+kbK6ypIdvtIdaRhmPVVNTvK/Dz2yqpo/5UbSnjpww388vTeWj9aRERE5Aiimum2YhkkG6l09XQjzZYRDdIAO8tqG3Vftnon/mDT24eLiIiISPukMB0HKYmNHx7s0sGHy6Efh4iIiMiRROktDo7KSmRwfk70tdtp59IJfWhiM0URERERacdUMx0HCU47l5+Rz/gR3fAHwuRmeEn1ujjYZpSWAXVBE5fDwG4odYuIiIi0BwrTceKy2+ialRh9fbAgXeEPMe+9DXy5dhc9OiVzyfg+5KYmcGRvBC8iIiJy5FOZxyGqC4apC5scroWew6bFoy+t5NPVOwiFTb7dUsFdT39GpT98eAYgIiIiIgekmekWMgzYtbuOB19excatFQwtyOWMEd0OuDZ0aymvDrJh6+4GbbV1YXaV1+LLbX4HRRERERFpOwrTLVTpD3Pn7M+oqaufEX73s+8pKqvl/53br01rmN0uO06HjVC44bJ5e7YXFxEREZH4UZlHC+0sq40G6T1WbiihoibUptdN8TiZOrZ3g7aRAzuSnepp0+uKiIiISPM0vdlCCS57ozanw/aT1oY2DIOwZeGwgXWA/Vosy2JEQQ7dcn3sKvOTluymU2YiTptW9BARERGJN4XpFspJ83Jc72y+WlsUbZty2jEke51Y5qEvq7HbH+Kdz39g5YYSju+dzYnHdT5g/bXdMDgqM5GjMhObPC4iIiIi8aEw3UIuu8FlE/IZO7QrO0tr6JLjo2OGN6YgHYiY/OWfXxMKR+iW7eX/Vmznm83l/HbyQBw/zjjb7WBYFmHz4DPQNruBZVhYWtxDRERE5LBTmD4EXqedEf07Ulxc9ZPOU1Tu57xBSfSo+wZXcSGBQf1Za+tJSWWA3DQP7uofqFm+kEhFEYkDxkDHAkK2/WqkDYtdoZ0sWvcRFXW7GdNjJD19PXFajbcqFxEREZG2oTAdB9neCOkb52KWfk8QMHZspKBTPvaC63DX7qTk33/CCgcBCGz7ltQxv8TW80TMfWbBS8LF3L34QSJmBIC1JRu5atBUBqT212YuIiIiIoeJVvOIg6RgKWbp9w3aItsK8YXLiZRsjgbpPao+fQVnuCb62jBgQ/l30SC9x2vfLiJsNHyviIiIiLQdhek4sNmb/rYbNhsYjY8ZNifWPmtZWxbYm+jntDsw9CMVEREROWyUvOLATOqAu1v/Bm2e/BGY3izs2d2xJSQ1OJY88vxGNdM903qQ4HA3aDun93hspip3RERERA4XJa84CBlufCdfjnfragLbvsXdpQBbbm+COAm7M8k4/w8EN31FuLIYT6+hRNK7N6qDTrdncMsJ1/P1rlVU1FUyuONAOid0AtVLi4iIiBw2CtNxEnCkYHT/Ga68kYQje3dssSyoS8jB6Dsep80gEGl6NxfLgnRbJqd2OhnDMIhETAVpERERkcNMYTqOLAtM08QwDKz9pp4tyyISaT4d16/woRQtIiIiEg8K03FiGFBSFWD1pjJCYZO+PTLITUtQLhYRERE5gihMx0lxZYDb/vEpdcH65e1sNoM7Lh9K5wxvnEcmIiIiIi2l1TziwDAMvlpXHA3SUF+u8driTRi2g28fLiIiIiLth8J0HBgGVPtDjdqrakOq8hARERE5gihMx4FpWgzJz2nUfsaI7mAqTouIiIgcKVQzHScd0z3cculgXvpgA4FghImjenD0USnxHpaIiIiIHAKF6TixGQZ5HXz8bsqxWIDdoNHGLCIiIiLSvilMx5nx4x8FaREREZEjj2qmRURERERipDAtIiIiIhIjhWkRERERkRgpTIuIiIiIxKhdhOnXX3+d8ePHc+qppzJnzpx4D0dEREREpEXivprHrl27mDVrFi+//DIul4vJkyczdOhQevbsGe+hiYiIiIgcVNxnppcuXcqwYcNITU3F6/UyduxY3n777XgPS0RERESkWXGfmS4qKiIrKyv6Ojs7m5UrV7b4/RkZSW0xrIPKyvId9mtK+6Z7Qpqi+0L2p3tC9qd74sgX9zBtNbFbiWEYLX5/aWk1pnn4djzJyvJRXFx12K4n7Z/uCWmK7gvZn+4J2Z/uiSOHzWYccAI37mUeOTk5lJSURF8XFRWRnZ0dxxGJiIiIiLRM3MP0iBEj+OSTTygrK8Pv97No0SJGjRoV72GJiIiIiDQr7mUeOTk5TJ8+nYsvvphQKMR5551H//794z0sEREREZFmxT1MA5x55pmceeaZ8R6GiIiIiMghiXuZh4iIiIjIkUphWkREREQkRgrTIiIiIiIxUpgWEREREYmRwrSIiIiISIwUpkVEREREYqQwLSIiIiISI4VpEREREZEYtYtNW34Km834r7imtG+6J6Qpui9kf7onZH+6J44MB/s5GZZlWYdxLCIiIiIi/zFU5iEiIiIiEiOFaRERERGRGClMi4iIiIjESGFaRERERCRGCtMiIiIiIjFSmBYRERERiZHCtIiIiIhIjBSmRURERERipDAtIiIiIhIjhWkRERERkRgpTB+C119/nfHjx3PqqacyZ86ceA9H2onq6mrOOOMMtm7dGu+hSDvw8MMPM2HCBCZMmMB9990X7+FIO/C3v/2N8ePHM2HCBJ5++ul4D0fakZkzZ3LTTTfFexjyEylMt9CuXbuYNWsW//znP5k/fz7//ve/2bBhQ7yHJXG2YsUKpkyZwubNm+M9FGkHli5dyuLFi3nllVd49dVXWbNmDe+88068hyVx9Nlnn/Hpp5/y2muv8dJLL/H888+zadOmeA9L2oFPPvmEV155Jd7DkFagMN1CS5cuZdiwYaSmpuL1ehk7dixvv/12vIclcTZv3jxuv/12srOz4z0UaQeysrK46aabcLlcOJ1O8vLy2L59e7yHJXE0ZMgQnnvuORwOB6WlpUQiEbxeb7yHJXFWUVHBrFmzuPrqq+M9FGkFjngP4EhRVFREVlZW9HV2djYrV66M44ikPbj77rvjPQRpR3r16hX9evPmzbz11lvMnTs3jiOS9sDpdPLggw8ye/Zsxo0bR05OTryHJHF22223MX36dHbs2BHvoUgr0Mx0C1mW1ajNMIw4jERE2rv169dz2WWXMWPGDLp16xbv4Ug7MG3aND755BN27NjBvHnz4j0ciaMXXniB3Nxchg8fHu+hSCvRzHQL5eTk8MUXX0RfFxUV6Z/2RaSRL7/8kmnTpnHzzTczYcKEeA9H4mzjxo0Eg0Hy8/PxeDycdtppfPvtt/EelsTRW2+9RXFxMRMnTmT37t3U1tZyzz33cPPNN8d7aBIjhekWGjFiBA899BBlZWV4PB4WLVrEnXfeGe9hiUg7smPHDq699lpmzZqlWScBYOvWrTz44IP861//AuC9997j3HPPjfOoJJ72XdHl5Zdf5rPPPlOQPsIpTLdQTk4O06dP5+KLLyYUCnHeeefRv3//eA9LRNqRp556ikAgwL333httmzx5MlOmTInjqCSeRo8ezYoVKzj77LOx2+2cdtpp+hcLkf8whtVUMbCIiIiIiDRLDyCKiIiIiMRIYVpEREREJEYK0yIiIiIiMVKYFhERERGJkVbzEBEREZH/aNXV1UyePJnHHnuMzp07N9mnsLCQm266Kfq6rKyMlJQU3njjjYOeWzPTIiKt5OSTT+bRRx9t0bFAIMCDDz7I2LFjKSgoYOjQoVxzzTWsXr062mfr1q0cc8wxDf4MGDCAiRMnMmfOnCZ3Zt1j2bJlHHPMMRQUFFBVVdXoeFFREfn5+fTp06fJMT700EOceuqpDcaxZ+Oqiy66iFtuueUQvjMiIvGzYsUKpkyZwubNmw/aLz8/n/nz5zN//nzmzp1LSkoKd9xxR7Pn18y0iEgc3HzzzRQWFnLLLbfQo0cPKioqmD17NlOnTuWll14iLy8v2vfRRx+lf//+WJZFVVUVH3zwAffeey9bt25lxowZzV7rvffe4+yzz27Q9vbbb2NZFoZhRNtefPFFEhISmj3fQw89hMOhvz5E5Mgwb948br/9dm688cZo26uvvsqzzz6LaZr07duX22+/HbfbHT3++OOPM3jwYI4//vhmz6+ZaRGRw6y6upo333yT3/72t4waNYrOnTtTUFDA/fffT0ZGBvPmzWvQPyUlhaysLLKzs8nLy+OKK67ghhtu4JlnnmHDhg0HvdawYcNYuHBho/YFCxYwaNCgBm3p6el4vd5mx5+amkpSUlILPqmISPzdfffdDULx+vXrmTdvHnPnzmX+/PlkZGTw1FNPRY9XVlYyb948rrvuuhadX2FaRCQObDYbixcvJhKJRNvsdjvPPvssV155ZbPvnzRpEi6XiwULFhy037hx41iyZAnV1dXRtl27drF69epoGcceBytT2df+ZR5ffPEFU6dO5dhjj2XEiBHcdddd+P1+YG+JyMKFCznnnHMoKChg7NixvPvuu9H3L1++nMmTJzNw4ECGDh3K7373OyoqKpodh4hILJYtW8aWLVs4//zzmThxIu+99x6bNm2KHn/99dcZM2YMGRkZLTqfwrSIyGGWlJTEBRdcwJw5cxg1ahQ33ngjL7zwAtu3b6dz584t+h94YmIinTt3Zt26dQftN2zYMDweDx999FG0bcGCBYwYMYLk5OSf/FlWrFjBpZdeSr9+/XjxxRf585//zHvvvcf06dMb9LvvvvuYPn06b775Jvn5+cyYMYPa2loikQjXXHMNw4cP54033uCJJ55g1apVzJw58yePTUSkKZFIhNNPPz1aH/3CCy9w2223RY+/++67jB8/vsXnU5gWEYmDW2+9lfvvv5+8vDzeeustbr31Vk4++WSmTZvW5AODTUlOTm4w49wUh8PBmDFjGpR6LFiwgNNPP/0njX+P2bNnU1BQwIwZM8jLy2P06NHccccdfPDBB6xfvz7a7/LLL2fUqFF07dqVq6++murqajZs2EBVVRXl5eVkZmbSqVMnBgwYwCOPPMIll1zSKuMTEdnf0KFDeeeddygtLcWyLO644w6effZZACzLYs2aNRx77LEtPp/CtIhIK3E4HJim2eQx0zQbPbR31lln8dxzz/HZZ5/x5JNP8vOf/5x33nmHP/zhDy26XnV1NT6fr9l+48aN4+OPP8bv97N9+3YKCwsZM2ZMi67RnPXr1zf6S2dPbeK+Ybp79+7Rr/fUW4dCIVJTU/nlL3/Jn/70J4YPH84NN9xAYWFhgwcwRURaU+/evbnuuuu45JJLmDBhAqZpRsvrysrKcDqdDR5GbI4exxYRaSUHmynevXs3qampQH293ocffhhdicPr9TJy5EhGjhxJZmYmzz//fLPX8vv9fPfdd0yYMKHZvsOHD8ftdvPRRx+xY8cORo4c2WoPEDa1+seeJfv2/eXB6XQesN+MGTO48MIL+eijj1i8eDG///3vmTdvHs8991yrjFFEBOD999+Pfj1p0iQmTZrUqE9GRgZLliw5pPNqZlpEpJX07duXr7/+ulH72rVrqa2tpV+/fkD9jPLs2bNZs2ZNo74+n69FNdMvvPACpmm2qK7P4XBwyimnsGjRIhYuXHhItYDNycvLa/SZv/zyy+ix5nz//ffcfvvtZGVlceGFF/L3v/+dmTNnsmzZMkpLS1ttnCIibUUz0yIireSiiy7inHPO4bbbbuOCCy7A6/Wybt06/vrXv3LSSSeRn58PwEknncTgwYO56qqruP766xkyZAh1dXV8/fXXPP744402RNm9ezfFxcVYlkVlZSUff/wxDzzwAFdeeSVdunRp0djGjRvH9ddfH71+a/nVr37FOeecw8yZM5k0aRLbtm3jj3/8I6NHjyYvL4+tW7ce9P1paWksWLCAYDDIFVdcAdTXdHfp0oW0tLRWG6eISFtRmBYRaSU9e/Zkzpw5PPzww1xyySXU1tbSoUMHxo8fz7XXXhvtZ7PZeOKJJ3jyySd55plnuOuuuzAMg969e3PPPfdw2mmnNTjvr3/96+jXqamp5OXlceeddzJx4sQWj2348OG4XC6GDh3aorWkW+roo4/mscce44EHHuD5558nNTWVCRMm8Jvf/KZF7/f5fPzjH//g/vvv5/zzz8c0TYYMGcITTzyBzaZ/PBWR9s+wDrYfrYiIiIiIHJB+7RcRERERiZHCtIiIiIhIjBSmRURERERipDAtIiIiIhIjhWkRERERkRgpTIuIiIiIxEhhWkREREQkRgrTIiIiIiIx+v+s9JBMB0uozwAAAABJRU5ErkJggg==",
            "text/plain": [
              "<Figure size 864x792 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(12,11))\n",
        "plt.title('Relationship between PTS & Salary - Position based', fontsize=20)\n",
        "sns.scatterplot(data=working_df, x='SALARY', y='PTS', hue='POSITION' ,sizes=(30,100), palette='deep')\n",
        "plt.xlabel('USD Millions', fontsize= 15)\n",
        "plt.ylabel('Points per game', fontsize= 15)\n",
        "sns.set_theme(style='darkgrid')\n",
        "plt.legend(loc='best', bbox_to_anchor=(0.5, 0., 0.5, 0.5), borderaxespad=0.2, fontsize=13)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "0e188438-5ea0-4299-9597-3e038661710f",
      "metadata": {
        "id": "0e188438-5ea0-4299-9597-3e038661710f"
      },
      "source": [
        "##### 3.3 Assists-vs-salary and rebounding-vs-salary"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 104,
      "id": "47fe0a50-996c-46a3-bd3c-f3863d4bc176",
      "metadata": {
        "id": "47fe0a50-996c-46a3-bd3c-f3863d4bc176"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 864x792 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtMAAAKeCAYAAABnMpeDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAEAAElEQVR4nOzdd3gU1f4G8PfMbE0PIfRekgChd2nSLEiRoqJgAbGg2K79WvBevHaxoT8FFQuKoCgiSpEqvUvvEHoJgfRkd2fm/P6IWVh2EzYJKZu8n/vgc3PO7OzZ3dnZ75z5nnOElFKCiIiIiIgKTCntBhARERERBSoG00REREREhcRgmoiIiIiokBhMExEREREVEoNpIiIiIqJCYjBNRERERFRIptJuAJU/P//8M55//nmfdRaLBREREWjRogXuu+8+tGrVqlDPcfz4cfTu3Ru9e/fGJ598Uqh9nD17FitWrMDQoUPdZb169UJqaio2btxYqH1ebQV9ncXR/uJ8Tw4fPow9e/bgxhtvvOr7LkuK8p3o1asXTpw4ccXnGDduHB555BEAwHPPPYdffvnFa5uwsDA0aNAAQ4cOxS233AIhhN+v4cKFC3j33Xfx119/weFwoH379nj++edRs2ZNv/cBAC6XC9OnT8fvv/+OgwcPwul0Ijo6Gh06dMDdd9+NuLi4Au3vUrmve/bs2WjSpEmh91PaPvroI0yaNMmr3GQyISQkBDExMRg2bBgGDRpUrO3I6/yzbds2pKamomvXrvluV5JiY2MRFxeHX3/9tVSe/2pITU1F+/bt0aFDB3z77bel3RwqAAbTVGw6dOiADh06eJSlpqZi27ZtWLRoEZYtW4avv/4a7dq1K/G2JSUl4YYbbkCnTp08gum77roLTqezxNtztQRS+/fs2YNhw4bh9ttvL/fBdK6ifCfGjRt3xX1fbvDgwe5gV9M0pKSkYM2aNXjppZdw4MAB/Pvf//ar3S6XC2PGjMGuXbswcOBACCHw66+/Yt++fZg9ezaCgoL82k9mZibuuecebN26FS1btsTAgQNhs9lw5MgRzJkzB7/++iv+97//YfDgwX7tr7zr3bu3x0WBpmk4f/485s2bh2eeeQaHDh3CE088UWzPHxYWhnHjxqFBgwbusmXLlmHs2LF49tln3cG0r+2IKhIG01RsOnTo4O4pu9wHH3yATz75BO+88w5++OGHEm4ZkJWVhYyMDK/ye+65p8TbcjUFUvtTUlLgcrlKuxklqijfibwel5/BgwejY8eOHmVOpxO33XYbvvnmG4wYMQJ169a94n7WrFmDHTt24J577nH3sIeGhuKbb77B6tWr0adPH7/a88UXX2Dr1q14/vnnvY7V/fv3Y/jw4Rg/fjy6deuGypUr+/ciy7E+ffpgyJAhXuX33nsvBg8ejClTpuDWW28t8N0Bf4WFhXkdd+fPn4dhGFfcjqgiYc40lYqxY8fCbDZjy5YtyMrKKu3mEJW6kvpOWCwWDBw4EFJKv1N3Tp8+DQCIiopyl9WpUwcAkJ6e7vdzL126FCaTCSNGjPCqa9y4MUaMGAGHw4Hly5f7vc+KqF69eujduzd0XcfKlStLuzlEFR6DaSoVFosFISEhAODVO7lmzRqMGjUKbdu2RatWrXDbbbdh/vz5fu33xIkTGD9+PPr06YPmzZujdevWGDJkCKZPn+7e5ueff0bv3r0BAIsXL0ZsbCx+/vlnADn5qZffYnc6nfj000/Rr18/xMfHo2PHjhg7diy2b9/usd26devc+/rpp58wYMAANG/eHN27d8ebb77pFSBt374dDzzwALp27YrmzZvj+uuvxzvvvJNncLJ8+XLceuutaNGiBTp37oznn38e58+f99jm8vb//PPPiI2NxYoVKzBp0iR069bN/Z4uXbrUr/c01759+3D33XejZcuW6NKlC15++WUkJSV5bZeeno533nkHffr0QXx8PLp164bx48d7bPvRRx/hrrvuAgB88803iI2NxXfffYfY2Fg8++yzHvvbu3cvYmNjce2113qUG4aBjh07egRmTqcTn332Gfr164fmzZujc+fOePLJJ3Hs2DGvdkopMX36dAwePBgtWrRA+/bt8eCDD2LXrl0e2xX0cy2s/L4TV5uqqu7n9EeHDh2gKAq+++47pKWlITMzEz/99BPsdjuuueYav59X0zRomoZDhw75rL/11lvx8ccfo3Pnzh7l+/btw9NPP40ePXogPj4ebdq0wfDhw7FgwQK/nnf27Nm488470b59e8THx6Nr164+j4vY2Fg899xz+PTTT9GuXTu0a9cOkyZNQlxcHG6//Xaf+77rrrvQsmXLAl1UXA1Vq1YFACQnJ7vLDMPA999/j5tvvhktWrRA27ZtMWrUKKxatcrr8f6cf44fP47Y2Fg89NBDAHJy0nPvTLz++uuIjY3F8ePHvbbLdfbsWbz88svuz61Hjx54+eWXcfbsWY/tPvroI8TGxuLgwYOYOHEirr32WsTHx+Omm27yOHf7Y8OGDbjlllvQvHlzXHvttXj77bd93oXctGkTxo0bh65duyI+Ph7t27fHqFGjsHbtWo/tNE3DpEmTMGDAALRq1QodOnTAvffeizVr1njt059z36Xv7VNPPYVrrrkGrVu3xrhx43Dy5MkCvVYqOxhMU6nYsWMHLly4gBo1aiAsLMxd/uOPP2LUqFHYu3cv+vXrh9tuuw1JSUl47LHH8Omnn+a7z+PHj2Po0KGYPXs2WrVqhXvuuQd9+/bFwYMH8corr2DatGkAgCZNmrgDufr162PcuHF5DlZyOBy455578N5770FVVdx+++245pprsHLlStx+++1YtGiR12OmTZuGV155BY0bN8add94Jq9WKL7/8Ei+++KJ7m8OHD2PUqFHYsmULevXqhbvvvhuVK1fGlClT8PDDD3vtc/PmzRg7diwqV66MkSNHokaNGvj5558xZswYSCmv+H6/9957mDx5Mrp3746BAwciISEBY8eOxaxZs674WADIzs7GyJEjkZaWhhEjRqBBgwaYMWMG7rjjDo8f37S0NNx+++2YMmUKatWqhbvuugutW7fGzJkzccstt7h/RDt06ODOi23ZsiXGjRuHHj16oEaNGl4/Zrl/nzp1yiP42bZtG5KTk91Btsvlwn333YeJEyciODgYI0eORLdu3bBw4UIMGzYM+/bt89jvs88+i1deeQUulwvDhw/HDTfcgI0bN2L48OE+fyj9+VyLIq/vxNXmdDrx22+/ISgoyJ3zeiX16tXDyJEjcfr0aTz00EO45ZZbcODAAbzxxhuoUqWK38/dpUsXAMCoUaPw6aefegXVtWrVQp8+fVCjRg132bZt23DLLbdg2bJl6Nq1K0aNGoWuXbti+/btePTRR694Ufjmm2/i2WefRWpqKgYPHowRI0agSpUqmDt3Lu68805kZ2d7bL9ixQpMmTIFN998M7p27YouXbqgffv22LJli9dA0NOnT2PDhg3o3bu3+0KopBw9ehTAxaDaMAw88cQT+M9//oP09HQMHToUffr0wfbt23Hvvffiu+++cz+2oOefXH369HF3RHTt2hXjxo3L81g9evQoBg8ejBkzZqBBgwYYOXKk+7wxZMgQnxe4Tz/9NGbOnInu3bvj1ltvxZkzZ/DKK69g5syZfr0nJ0+exOjRo2G32zFy5EhUqlQJn3/+OcaMGQNN09zbLVq0CHfeeSf+/vtv9OnTB3fffTdat26NNWvW4N5778Xu3bvd206YMAEfffQRIiIiMGLECNxwww3YunUr7r33Xqxbt869nb/nPiDnuBk+fDjmzp2LVq1aYejQodi/fz/GjBnj1+ukMkgSXWWzZs2SMTEx8sMPP/QoNwxDpqSkyGXLlsk+ffrImJgY+eOPP7rrT506JePj4+WNN94oz58/7y7PysqSt912m4yLi5N79+6VUkp57NgxGRMTI8eOHeve7qWXXpIxMTFy1apVHs+7detWGRMTI2+77TZ3ma/HSyllz549Zdu2bd1/T5o0ScbExMjnnntOulwud/mOHTtkixYtZLt27WRaWpqUUsq1a9fKmJgY2aRJE7l582b3tqmpqbJTp06yadOmMj09XUop5RtvvCFjYmLkmjVrPJ7//vvvlzExMXLfvn0e7YyJiZFz5sxxb6fruhw8eLCMiYmRO3fuzLP9uZ9FkyZN5JYtW9zlR44cke3atZNt27aVKSkpMj89e/aUMTEx8pFHHpG6rrvL33nnHRkTEyMnTpzoLnvllVdkTEyMnDZtmsc+Fi1aJGNiYuSjjz7qLst9v1599VV3We5neOjQIXfZgw8+KFu1aiVjYmLkzz//7C7/8MMPPd6rKVOmyJiYGPnWW295PPe2bdtks2bN5NChQ91lf/zxh4yJiZH/+te/PD7Xo0ePyg4dOshu3bpJh8Ph0U5/Pte8FPY7IeXF9//DDz/M899nn33m8Zhnn31WxsTEyGeffda9zfvvvy8nTJggr7vuOtmqVSv5559/5tvmy+3evVvGx8fLmJgY2aFDB4/jzl9paWly2LBh7mM6JiZGdu3aVf7rX/+Ss2fP9vk+jh49WjZt2lQeOHDAo/z33393f4aXv+5du3ZJKaU8ffq0jIuLkyNGjJCapnk8/r777pMxMTFyxYoV7rLcNi1evNhj259++knGxMR4vc+5x9yyZcsK/F7kJ/fYnjVrls/6bdu2yaZNm8oWLVrIpKQkKaWUv/zyi4yJiZGjR4+WGRkZ7m2PHj0qu3TpIps2bSqPHj0qpSz4+efS82TusTx16lR3ma/t7rrrLhkTEyNnzpzp8RzfffedjImJkXfddZfX6+3Zs6f79Ugp5aZNm2RMTIy85ZZbrvie5X52r732mrtM0zT55JNPypiYGDljxgx3+fXXXy87dOggExMTPfYxefJkGRMTI999910pZc7xmnv8XGrbtm3uc2Kugpz7nnnmGa/zWUZGhhw5cqSMiYmRI0eOvOLrpbKFPdNUbCZNmoTY2Fj3v7i4OLRv3x73338/Lly4gOeeew7Dhg1zbz9nzhw4nU48+uijiIyMdJfbbDY8+uijMAzD53RfuQYOHIjXXnvN67ZzixYtYLPZfN5qu5JffvkFdrsdL7zwAkymi+N1mzVrhjvuuAOpqalYuHChx2Pat2+P1q1bu/8ODQ1F69atoWmaO/c0dwDP5akir7/+OtasWYPGjRt7lNeuXRsDBgxw/60oCrp37w4APnt4LtevXz+PKdfq1KmDESNGIC0tDcuWLbvi44UQePrpp6EoF08ZjzzyCEJCQvDbb78ByLkdOnv2bHfu66V69+6NNm3a4M8//8z3dniPHj0AwN0zrOs6Nm7ciMGDB8NsNmPDhg3ubVeuXImaNWu636uffvoJYWFhXrMbNG/eHDfccAO2b9+O/fv3u7cF4PW51q5dG8OHD8eZM2ewevVqj/3487leSUG/E5c/Nq9/kydP9vmYX375xb3NJ598gm+//RYJCQkIDQ3FuXPn/GozAEyZMgXDhg2D3W5HREQEkpOT80zVyE9ISAi+//57vPzyy2jWrBmAnFSAuXPn4plnnkGvXr3w+++/ezzmnnvuwdtvv42GDRt6lOcOrMzve22xWPDWW2/hhRdecKe25Grfvr3Px9tsNvdxmOv666+H3W7H3LlzPcrnzJmDqKgod4/71bZo0SJ89NFH7n/vvfceHn30UYwYMQKapuGZZ55BpUqVAMB9bnzllVc8ZlepXbs2xo4d6/5+AgU//xTUqVOnsHbtWrRr1w633HKLR90dd9yB5s2bY+3atTh+/LhH3dChQ92vBwDatGmDsLAwv6aGBHKOr0sHQqqqimeeeQZCCPd5yjAMPPnkk3jrrbe8BrlefkwZhgEpJU6dOoXExET3ds2bN8eiRYvw7rvvAijYuc/pdGLhwoVo3Lixx6w1QUFBeOqpp/x6nVT2cDYPKjaXTgOWnp6O+fPn4/Tp0xg4cCAmTJgAm83msf2OHTsA5ARSuUFPrszMTAA506nlJTfHMTk5Gbt378bRo0dx+PBh/P3333A4HNB1vUDtT09Px7Fjx9CmTRuft3Dbtm2LL7/80qtN9erV89o2NDQUwMVc2MGDB2P69Ol45513MG3aNHTv3h3du3dHly5dfE4z5mvGhYiICAAX35v8+Jo2rUWLFgBy3tOBAwfm+/gqVaqgdu3aHmUWiwVxcXHYuHEj0tLScPr0aWRmZkLXdXz00Ude+8j9DPbu3Yu2bdv6fJ7OnTvDYrFg7dq1uOOOO7Bz506kpqaiS5cu2L59u3vAXHJyMrZv347hw4cDADIyMnD48GFER0fj//7v/7z2mxs47t69G40bN8bOnTthtVo9bn3nOnz4sHvbS/O0/flcr6Sg34lL7d2716/nuNQ333zjDhCklMjIyMCePXvw1ltvYfz48Th37twVp9z76quv8M4776B58+b4+OOPcfjwYdx777146aWXEBsbC0VRcPfdd2PYsGF4/PHHr9gms9mMESNGYMSIEUhMTMTatWuxevVqLFmyBMnJyXjyyScREhLiDmi7desGAEhMTMSePXvc3+tNmzYBQL7f68jISAwYMACGYWDfvn04ePAgjh07hr1797ovli6fmaJatWpegXdISAj69OmD3377DQcOHECjRo2wb98+7N27F3fddZfHBdnVtHjxYixevNj9t9lsRkREBLp06YIRI0Z4pOns2bMHVatW9fqeAnB/33LPVQU9/xRUbppEXtOetmnTBtu3b8eePXtQq1Ytd3n9+vW9tg0JCfE7Hz0mJsbrXF2lShVUq1bN/doVRUHfvn0B5Iyx2b9/P44ePYoDBw640zZyj4mwsDD069cPv//+O3r27InWrVuje/fu6NmzJxo1auR+jsOHD/t97ouIiEBmZibi4+O9touPj4fZbPbrtVLZwmCais3l04A99thjuP/++zFnzhyEhobi5Zdf9tg+LS0NAPKdKi8lJSXfutdffx1z586Fy+WCEAI1a9ZEp06dvAaV+SN30EpuwHS53FzRy3MufQ3qyl0cQ/6T3xwXF4eZM2fi008/xfLlyzFz5kzMnDkTQUFBuOuuu/D44497LKhhtVrzbKf0I2c6N6/yUrm9Mv78UOU1TVlwcDCAnIA+NTUVAHDo0CGfC07kyu8zDAoKQvv27bFu3ToYhoG1a9dCURS0b98emzZtwhdffIGzZ89i48aN0HXdHXDlvobExES/njstLc09sMjfdvrzuV5JQb8TV5MQAiEhIWjXrh0+/fRT9OzZE5MnT8bdd9+d5zGelZWFDz/8EGFhYZgyZQoiIyNRtWpVPP3003j99dcxbtw49OzZE4mJiYXK846OjsaAAQMwYMAAZGVl4fXXX8eMGTMwZcoU92d78uRJvPrqq1iyZAmklFAUBfXq1UPbtm39+l4vXLgQ7777LhISEgDkHGPx8fGIi4vD6tWrvT67vC5obr75Zvz222/47bff8MQTT2DOnDkAcMWFU9atW4f169d7lIWGhvo1jeXrr7/uc2o8X9LT0/P8nl5+riro+aegcr+PV+vc6e/3K7/z1KU9y3v37sWrr77q/lzMZjMaNmyI+Ph4JCQkeDzfm2++ifj4ePz8889Yv3491q9fj3feeQfx8fF49dVX0aRJkwKd+3Lf19xz56VUVS3x3Hu6OhhMU4kJCgrC+++/j0GDBuG7775DTEyMu2cxtx7IubXpq3flSp5++mksX74cw4cPx6BBgzx6KXJv8RVE7snuzJkzPutzT6C5PcQFFRcXh/fffx9OpxNbtmzBX3/9hZ9//hmffvopqlatijvuuKNQ+/Xl8h8t4OLFy6UpNXnJfa2XO3v2LIQQCAsLc79fgwYNwltvvVXotnbv3h2rVq3C7t27sX79esTFxSEsLAwdO3bEF198gY0bN2LFihWw2+3o1KkTgIvHTrt27Xz2Nl8uKCgIwcHBfqW4FKcrfSeKS6VKldC4cWNs374dhw8fdt+luNyhQ4eQkZGB66+/3uM4ueeee7B9+3bMnTsXU6dOhd1u90hD8mXNmjX497//jdtuuw0PPvigV73dbseLL76I3377zR34SinxwAMP4MCBA3jggQfQp08fNG7cGDabDefOncOPP/6Y73Nu3boVjz32GKpVq4aJEyeiefPmqF27NoQQmDx5slcqT36uueYaVK1aFfPnz8cTTzyBefPmoVGjRj57GC+1fv16rwCrZs2aV31O+ODg4DzPVbkXhpeeq4rz/FPc58685HeeCg8PB5AT6I8ePRppaWl49tlncc0116BBgwawWCzYunWrVyqP2WzG6NGjMXr0aJw8eRKrVq3C/PnzsXLlSjzwwANYvHhxgc59Bw8eBHDx/HspKSWnig1QzJmmElW5cmW88sorAIA33njDI2cuNjYWgHceHwAkJCTgzTffxJIlS3zuNzU1FcuXL0d8fDz+85//eKRmHD9+HA6Hw6O3wZ9el5CQENSqVQsJCQleU9ABcOfvXnq7z1+zZ8/GhAkTIKWExWJBx44d8fTTT7tvEebewr5afL2nW7ZsAYA8A6lLnTx50iu3NDk5GQkJCWjQoAHsdjvq168Pi8WCnTt3+uxJ+uqrr/DJJ5/gwoULAPL+DHJzwVevXo2///7bndvatm1bmEwmrF+/HitXrkSnTp3cPfahoaGoUaMGDhw44PPCYfbs2fjoo4/cx1tsbCxOnz7t0VuVa9myZXjvvffyTSm6mvL7ThSn3MAjr95D4OIdEV95+a+++qp71o1OnTohOjo63+eLjo7GyZMn853OLveYyO253Lt3L/bt24e+ffviiSeeQPPmzd09x7lBSX69lr///jsMw8D48eNx0003oU6dOu7nyM359rfXU1EUDBgwAAkJCVi4cCGOHz/u13LejzzyCPbu3evxL6/zWFHExcUhLS3Na9YaAO70qNxzVVHOP/6cO3NnR9q8ebPP+g0bNkAIUahzZ3727NnjlXJ18OBBpKamunP0165di3PnzmHEiBEYPXo04uLi3D3ilx9Tx44dw8SJE90zxtSoUQO33HILvvjiC3Tq1AlnzpzB8ePHC3Tuq1OnDkJDQ93n30vldf6iso/BNJW4vn374rrrrkNWVpY7iAByBhCqqor333/fI8jRNA0TJkzAl19+6TGn6qXMZjMURUFqaqrHctrZ2dmYMGECAM+81twcxyvlug4ePBjZ2dl47bXXPKZW2rlzJ6ZNm4awsDD06tXL79ee6++//8a0adMwb948j/LcQOrSqcGuhpkzZ7p/KICcHL9vv/0WVatW9Wt6NF3X8fHHH7v/llJi4sSJyMrKci/HbrVa0a9fPxw4cABTp071ePy6devw1ltvYdasWe4eorw+gwYNGqBOnTqYPn060tLS3DnGISEhaNq0KebOnYuzZ896zTs9ePBgJCcn45133vHIgz1w4AD++9//YurUqe6esMGDB0NKiQkTJngcL2fPnsX48eMxefJkn7dhi0te34nismDBAhw5cgQNGjTwmaeaq2HDhmjYsCF27drlHryW68cff3TPi7t06dIrTl/WqFEjdOzYEbt27cJ///tfOBwOj3rDMPD+++8jMzPTndqQG+RcfjGbnJzs7gG89Ht5udyLgcsHW65Zs8bdA5nf4y938803A8i56BFCXLE3viTlvmf/+9//PMZRHDt2DB9//DHMZjNuuukmAEU7//hz7qxRowY6duyIHTt24Pvvv/eo+/HHH7F582Z07NgR1apVK8ArvLLk5GR8/fXX7r+dTqf7OLn0PAV4Dzw9efKk+w5C7jFhs9kwZcoUfPDBBx7nCafTicTERFgsFkRHRxfo3Gc2m9G/f38cPXrUY1un0+ke0EiBh2keVCpefPFFrF69GitWrMDcuXPRv39/1KtXD08//TTeeOMN9O/fH7169UJ4eDj++usvHDx4ED179sxzoJzdbkffvn2xYMEC3HLLLejSpQsyMzOxdOlSnDt3DuHh4UhLS4NhGFAUBZGRkbBYLFi3bh1ef/119O3b1+dgmfvuuw8rV67Eb7/9hr1796JTp05ISkrCokWLIKXEe++9V6gctzFjxmDevHl46qmnMH/+fNStWxcnTpzAwoULER0djZEjRxZ4n/kxDAO33norbrjhBkgpsXDhQmRnZ+Ott97KNx87V1RUFGbPno39+/cjPj4emzdvxt9//4127dq55+wGcuZu3rJlC958800sXrwYLVq0wJkzZ7Bw4UKYTCa89tpr7hlBcvO4582bh6CgIAwePNg9i0D37t0xbdo0d750rg4dOmDbtm0A4DXjwv3334+VK1fi22+/xaZNm9ChQwekpqZi/vz5yMrKwjvvvOP+rIYMGYIlS5ZgwYIF2Lt3L7p16wZN0zBv3jz3ILjCpBoVha/vxKV8DWy6VOXKlb0WFvnll1888nU1TcOOHTuwatUqmM3mK+ZoCyHw2muvYdSoUXj++eexePFi1KpVC+vWrcPOnTsRHx+PJ554Ao8++ihefvlluFwun6sb5nr33Xdx11134bvvvsOCBQvQrVs3VK1aFSkpKVizZg0SEhJwww03uFMM6tWrhxYtWmDDhg2444470KZNG1y4cAGLFi2C0+mE3W533+nwpV+/fpg6dSr+85//YMOGDYiOjsbevXuxcuVKREZGIikpKc8LdF8aN26MZs2aYefOnejYsSOqV6/u92OL26BBg9zH9MCBA9G9e3dkZmZi8eLFSE9Px4svvuhetbIo55/c7+306dORkpKCO++80+d2//3vfzFixAj85z//wZ9//onY2Fjs27cPq1atQpUqVdydHFdTzZo18d5772HTpk2oW7cuVq1ahX379uGmm27CDTfcACDnDlfNmjXx66+/4sKFC4iLi8OpU6ewePFiWK1WCCHcx0R0dDTuvvtuTJ06Ff3790ePHj2gKApWrFiBgwcP4qGHHnKfUwpy7nviiSewZs0avPHGG1i5ciUaNmyINWvWIDk52a/zMZU97JmmUlG1alX3FGavvfaaO6dv1KhRmDx5MuLi4rBw4ULMmDEDJpMJzz33HD788MN8R82/9tpruPvuu5GWloZp06ZhxYoVaN68OaZPn46bb74Z2dnZ7tHaFosFL7/8MsLDw/H99997LRSSy2q14quvvsKjjz4Kl8uF6dOnY+3atejZsydmzJiBPn36FOr116pVC9OnT0e/fv2wY8cOTJ06FRs2bMDAgQMxc+ZMnwMGi+KBBx7A8OHDsXTpUixYsAAtW7bEtGnTvALSvERHR2Pq1KlwuVyYNm0aTp06hfvuuw+ff/65x+jzSpUqYebMmRg9ejTOnDmDb7/9Fhs3bkSvXr0wc+ZM98wSQM4PX+5Ap++++84dJAMXUz1iY2PdPdnAxamrYmNjvQIZm82Gb775Bo888ggcDge+//57LF++HG3atME333zjEZwKIfDhhx/ihRdegN1ux48//ujOgf34449x//33F+DdvTry+k7kym9qvEmTJvkcuHvp1HiTJk3Cl19+icOHD2PAgAH48ccfvVYa9KVVq1aYMWMG+vbti/Xr1+O7776D0+nEk08+ienTp6Nr16744osvUK9ePY/P15fo6Gj8+uuveOGFF9CgQQP89ddf+OKLLzB//nzUqFED77zzDj744AN30KEoCj755BMMGTIEx48fdx9P3bt3x6xZs9ClSxckJCS4FzC5XJMmTTB58mQ0a9YMixYtwsyZM3Hu3Dk8+uij+PXXX6EoSoGXLr/xxhsBXHngYUkTQuD999/Hiy++iODgYPz0009YunQpWrVqhalTp3pc5BTl/NO+fXuMGDECKSkp+O677zzueF2qXr16mDVrFm699VYcOHAA06ZNQ0JCAu68807Mnj3bHdhfTXFxcfjkk09w4sQJTJs2DVlZWXjqqafw9ttvu7cJCgrC1KlTcd1117nvMO7atQsDBw7EnDlz3DMU5Q5Af/rpp/HKK68gJCQEv/zyC2bOnIng4GC88cYbeOyxx9z7Lci5Lzw8HNOnT8fw4cOxd+9ezJgxA5UrV8ZXX33l96qkVLYI6W/CGBEFnJ9//hnPP/88nn/++as+4InoUrl3fcq7J598EosXL8bKlSs58wIRAWDPNBERXQUVIZDeu3cvFi5ciBtvvJGBNBG5MWeaiIgoH59//jnmzZuHAwcOQAiBBx54oLSbRERlSPnvSiAiIiqCKlWqICEhAdHR0Xjvvfd8roZJRBUXc6aJiIiIiAqJPdNERERERIUU8DnTFy5kwDBKrnM9KioESUnpJfZ8VPbxmCBfeFzQ5XhM0OV4TAQORRGIjPS9mFfAB9OGIUs0mM59TqJL8ZggX3hc0OV4TNDleEwEPqZ5EBEREREVEoNpIiIiIqJCYjBNRERERFRIDKaJiIiIiAqJwTQRERERUSExmCYiIiIiKiQG00REREREhcRgmoiIiIiokBhMExEREREVEoNpIiIiIqJCYjBNRERERFRIDKaJiIiIiAqJwTQRERERUSExmCYiIiIiKiQG00REREREhcRgmoiIiIiokBhMExEREREVEoNpIiIiIqJCYjBNRERERFRIDKaJiIiIiArJVNoNID+ZdWTLLGiGBptqg9WwQ9dlabeKiIiIqEJjMF3GCQG4zFn4ZutP2HxqByQkIu3huKfVrWgY0gBCV0u7iUREREQVFtM8yjjd5MS7az7DplPbIZHTE30hKwXvrZmCRNdZCCFKuYVEREREFReD6TLugjMZR1NO+qybseM3GCZXCbeIiIiIiHIxmC7DFEXgbPq5POuPp56CJrUSbBERERERXYrBdBlmGBLRwVF51tcIrQoT096JiIiISg2D6TIu0hqB6qFVfdbd2qw/VMNcwi0iIiIiolwMpss4k2bDM13GIr5KrLss1BKMhzvcjWrW6jAMTo9HREREVFqYI1DGSSlhdQXhwdZ3I8vIgstwIdgUxHmmiYiIiMoABtMBQEpAuEwIQmhOgQvQwUCaiIiIqLQxzYOIiIiIqJAYTBMRERERFRKDaSIiIiKiQmIwTURERERUSAymiYiIiIgKicE0EREREVEhMZgmIiIiIiokBtNERERERIXEYJqIiIiIqJAYTBMRERERFRKDaSIiIiKiQmIwTURERERUSAymiYiIiIgKicE0EREREVEhMZgmIiIiIiokBtNERERERIXEYJqIiIiIqJAYTBMRERERFRKDaSIiIiKiQmIwTURERERUSAymiYiIiIgKicE0EREREVEhMZgmIiIiIiokBtNERERERIXEYJqIiIiIqJAYTBMRERERFRKDaSIiIiKiQmIwTURERERUSAymiYiIiIgKicE0EREREVEhMZgmIiIiIiokBtNERERERIXEYJqIiIiIqJAYTBMRERERFRKDaSIiIiKiQmIwTURERERUSAymiYiIiIgKicE0EREREVEhMZgmIiIiIiokBtNERERERIXEYJqIiIiIqJAYTBMRERERFRKDaSIiIiKiQmIwTURERERUSAymiYiIiIgKicE0EREREVEhMZgmIiIiIiqkEg2m09PT0b9/fxw/fhwAMGPGDPTv3x8DBgzA888/D6fTWZLNISIiIiIqkhILprdu3Yrbb78dCQkJAIDDhw/jiy++wA8//IA5c+bAMAx8//33JdUcIiIiIqIiK7FgeubMmRg/fjyqVKkCALBYLHjllVcQEhICIQRiYmJw8uTJkmoOEREREVGRCSmlLMkn7NWrF7755hvUqlXLXXb+/HkMGzYMr7/+Ojp27FiSzSEiIiIiKjRTaTfgzJkzGDNmDIYOHVqoQDopKR2GUXLXA9HRoUhMTCux56Oyj8cE+cLjgi7HY4Iux2MicCiKQFRUiO+6Em6Lh4MHD+L222/H4MGD8fDDD5dmU4iIiIiICqzUeqbT09Nx77334oknnsCgQYNKqxkBTVFEifbKExEREZGnUuuZ/umnn3Du3Dl8+eWXGDRoEAYNGoQPPvigtJoTMBRFQDM7cFo/iW3J25Ekz0I3OyFEabeMiIiIqOIp8QGIV1tFypkWQiBLTcPrKyfhXOZ5d3m9iFp4otP9MDltpdKuio45b+QLjwu6HI8JuhyPicBRZnOmqWB0kxOTNnzlEUgDQELycczYOQfCFNDXRUREREQBh8F0AMnUM3H4wlGfdWuPb0Y2skq4RUREREQVW6lPjUf+cxmuPOsMaUCXWgm2hoiIqPAURUBTncjUM6BLA8GmIFiNIOi6UdpNIyoQBtMBJMQcDLvZhixXtlddtZBoWBUboJdCw4iIiApAUQRScB4fr/0ax1JyVj+uZI/Ag+1GopatNqTOUfUUOJjmEUBsRhBGthjqVS4gMLr1bbAY1lJoFRERUcFkqxmYsPwDdyANAOezkvHGyk+QjtRSbBlRwTGYDiC6LtEyqhn+3e0RxEQ1QLg1FC2qNsGEXk+jpq0mdJ0DEImIqGxTFIH95w8hw5XpVWdIAwsOLIdqZs80BQ6meQQYoZlQ21oHj7YdAx0aTLBA6Aok0zuIiCgAqKqChOTjedYfTT0BTbogGKJQgOCRGoAMQ0IYJpj++fjYH01ERIFC1w00jKybZ33DyLowwQydv24UIJjmQURERCXGMCQaRtZDuDXUq86kmNCnQTfoGgNpChwMpomIiKhEWfUgvNTjccRVbuguqxlaDS91fwxB0jvIJirLmOZBREREJcowJIJkKMa1vRfZRhYMacCu2mHSrTA4mJ4CDINpIiIiKnFSAsJlgh3/9EQbgME8aQpATPMgIiIiIiokBtNERERERIXEYJqIiCgAKYqAonBxE6LSxpxpIiKiQGLSkYVMHLpwFCbFhLrhtWCTdkBn/xhRaWAwTUREFCAMkwtLj63Cz7v/cJcpQsHYdneiaUQTBtREpYDfOiIiogAgBJDoOOcRSAOAIQ18suEbZCC9lFpGVLExmCYiIgoAigmYd2CpzzoJiY0nt8Jk4s86UUljmgcREVEAMKSBdGcGrKoFfRp2RWzlhtAMHQLAX0fWI8WRCiE4IJGopDGYJiIiCgAqTOhSqz36x/bGgv3L8fu+JQAAq2pBv5he6FirNTTNKOVWElU8vB9EREQUADTNQPNqcZi9ewG2ndntLnfoTvyyez6OJB/nVHlEpYDBNBERUYDIdmVjf9Jhn3Uzd86FU8kq4RYREYNpIiKiAJHhyjtYTsq8AANM8yAqaQymiYiIAkSIJTjPumoh0VCglmBriAhgME1ERBQwgpQgtK7WzGfdiOaDYTFsJdwiImIwTUREFCCEy4RRrYajV/0uUJWcXuhwWxgean836ofWg64zzYOopHFqPCIiogCiOq24pfFA9G/cF5rhglW1wmoEQee0eESlgsE0ERFRgDE0ASuCYAUAA9A58JCo1DDNg4iIiIiokBhMExEREREVEoNpIiIiIqJCYjBNRERERFRIDKaJiIiIiAqJwTQRERERUSExmCYiIiIiKiQG00REREREhcRgmoiIiIiokBhMExEREREVEoNpIiIiIqJCMpV2A8g/qknAKbIhIWGCGUJTIWVpt4qIiIioYmMwHQAMixN/HVuPP/YvRrorE82iY3BH88GIUCMhdVHazSMiIiKqsJjmUcYZJhembv0BM3bOQZozA1JK7Di7Fy8vfQdpSCnt5hERERFVaAymy7h0Ix2bT+3wKtcMDT/t+h3CZJRCq4iIiIgIYDBdpimKwInU03nW70k8ABecJdgiorJBCAHFDChmCUVhqhOVf0IAqkmBUBSoKn+6icoS5kyXYVJKhNtC86yPsIdDEWoJtoio9BlmJ05knMLCXX/BZbjQo25nNI5sAJPLWtpNIyoWBoAzydn4Y1UCUjOc6NKyOlo1joZVEZAciU5U6hhMl2FSAlXslRFqDUGaI92rflDs9TAbFujgyZQqBsPkwszdv2HF0XXusu1n9qBhpbp4rMMYqE4G1FS+SCGweNNxTF+41122/eA5VK0UhP/c1wkW3pghKnW8V1TGWXQ7/t1tHCJt4e4yIQRuiumN2MhG0HUG0lRxJLuSPQLpXAfPH8GepP1QVUYWVL5kOnWPQDrXmfOZWLLpGFQTj3mi0sae6TLOMCQilCi80uNJpDjTkK1lI8oeCRvsgIspHlRxmM0qNh7Zmmf90oTViG/TFNDZR0Dlg6IIHDienGf9sk3H0bttbZgZTxOVKgbTAcAwJEyGDVHCBpgBaKXdIqKSJ6WEScn7lKUKFQCjCipfTPkMNlRVhUc8URnALhwiCgiaZqBdjZZ51l/f8FoI9kpTOWIYEg1rhuc5Y82NnevCauIxT1Ta+C0kooARqoRiaNN+XuXtarRA3bDaMAyOIaDyxWZSMG6Y90VkTO0IdGpWHbrOtQaIShvTPIgoYAjNhJ61uqJt9RZYe3wTnLoTHWu2QZQtCqrLUtrNI7r6pETLhlH48F89sGbHaVxIy0bHptVQs3IwTJzJiahMYDBNVA4Ik4EsZCHLlQWb2YYgEQTpKp83noRmQjgqoX+9GwAAmqZDukq5UUTFSEiJEIuKGzvUhhACmmZwfmmiMoTBNFGAMyxOzN47H0sTVsOQBoQQ6FyrLW5vNghKOZ532eXSS7sJRCVK05jSQVQWlc+uK6IKQjEB8w8txeLDK2HInB9aKSVWH9uImbt+gzCz94qIiKg4MZgmCmDZIhMLD/7ls27VsY3Ikhkl3CIiIqKKhcE0UQBz6i64dN8Jw4Y0kK05SrhFVB4Jk4RmzoZmzoYw8W7H1aIoAtKs/fPeOriaIVGAYs40UQCzqhYEme3IdGV51ZkVE4LMdoCD86iQFEUgS03HrF2/Y+3xzVCEgq51OmBQ3PWwuII4CK4oVANntURM2/wz9p8/jDBrKAbG9kXHGm2gODkzDVEgYc80UQCzySAMaXKjz7obG/eCTQaVcIuoPHGomfjPsolYdWwjdGnAZWhYmrAa/1vxIVwm7ws48o8QAue0RLyybCL2nz8MAEh1pGHatp/x0+7fIc0cXEsUSBhMEwUwXZPoWL0t7m55C0IswQAAu9mG25oNQN963WFw6XkqJJNJwebT25HiSPOqS8xIwsHkhDxX5qP8GSYXvtv2s8+e/eVH1iBbZpZCq4iosJjmQVRMVLOAAR2KVKFrxXc7XHGZ0blqB7SuFg+n7oJFMcOGIOgu3oKnwpNCx9+nd+ZZv/XMLjSPbAank72oBaVDw/6khDzrL2SnwG4KLbkGEVGRMJgmusqkSUeKnoz5e5YhMSMJ8VVicU3tdrDrIcW23LWuSZhhhxl2wAB0roxGRSSgIDq4Up71VYIrc/n2QhIQCLeFIjk71We93WQr4RYRUVEwzYPoKhIqsDt5D15Y/CZWHFmHPecO4Kddv+PFJW8hXaRA8K44BQjNJdGnQXefdYpQ0LFmay4iUkgWw45Bsdf5rKsaXBlhZvZKEwUSBtNEV5FTycLnm6Z7lWe6sjB9x2xIE2+JU+AIU8IxrsM9sKhmd5ndZMOT1zyAIBlSii0LbLpuoF31VuhV/xoIXLzCrhpcGU93GQuzzp5pokDCNI8SJoSAoggYhgHOKlX+pDhT4dCdPuu2nNoJVwtnTioGUSDQFDQNb4I3+7yA5OwUCCEQYQ2H1bDD4HVhkShOC4Y0HoB+jXsjOTsVdpMNoeYQmHVbhUufURQBIQR0nXc6KDAxmC4hiiLgUDNxMv0MTqefRe2wGqgaFA2TZmVQXY4o+dzsURTeCKLAI3UBix6EKuo/0yy6AIY8V4fQVNgRenGwoQswKtB4B0URyNIMJBxPwbnUbDSqFYHK4Tao/FGkAMNgugQIIZAuUvDqsg88ppmqHlIFz3Z9GGYneyrLi1BLKEItwUhzei/j3bV2O1iljYEIEVV4QhE4k+LA+ClrkH3JjDBN6lXCE8Nbw1SBLioo8LGrrAToJic+Wj/Va77WU+ln8f32XyBMDK/KC6thw+OdxsCkeF6nVgmujMFN+sHQOAKRiMihSfzvq/UegTQA7E44j0UbjkJRGZ5Q4GDPdAnI0DNwNOWEz7oNJ7dieLNBsCK4hFtFxcHQgerWmnirzwvYemYXTmckoll0DOqG1YLZZYdkbwsREZLTHUjN8D2+5PfVCejdrjbM7HugAMFgugRo+SxDJ6WELjmSpzyROmBFMDpX6QhFyRlUY7gkA2kion8485lWMcuh8WxJAYX3UUpAiDkYweYgn3U1Q6vBpnAapPJI1w24XHqFG5lPRHQlUeG2PJejbxdXBRaV3dIUOBhMlwCbDMKo1rd6lStCwb1thsOkW0uhVURERKXDblZwW58Yr3KrRcWIG+IgOKMHBRCmeZQAXZOIi4jFK9c+idl75uFU2lk0iKyDQXHXI1REwNB50iAiogrEkOjdtiYa1QrHrKUHcCHVgeaNojCwW0OEWBTe0aOAwmC6hAhNRRW1Ku5reRd06YIJFkjO7EBERBWUIoGG1ULx5O2toRsSFkWBYRgMpCngMJguQVICcClQYeXgCiIiqvAMQ0IgJxgxDE4TS4GpRHOm09PT0b9/fxw/fhwAsHr1agwYMADXXXcd3nvvvZJsChERERFRkZVYML1161bcfvvtSEhIAABkZ2fj3//+Nz755BP88ccf2LFjB5YvX15SzSEiIiIiKrISC6ZnzpyJ8ePHo0qVKgCAbdu2oW7duqhduzZMJhMGDBiA+fPnl1RziIiIiIiKrMRypv/3v/95/H327FlER0e7/65SpQrOnDlT4P1GRYUUuW0FFR0dWuLPSWUbjwnyhccFXY7HBF2Ox0TgK7UBiNLHHJJCFHx2i6Sk9BId+RsdHYrExLQSez4q+3hMkC88LuhyPCbocjwmAoeiiDw7cEtt0ZaqVavi3Llz7r/Pnj3rTgEhIiIiIgoEpRZMt2zZEocPH8aRI0eg6zrmzp2L7t27l1ZziIiIiIgKrNTSPKxWK9544w088sgjcDgc6NGjB2644YbSag4RERERUYGVeDC9ZMkS9//v3Lkz5syZU9JNICIiIiK6KkotzYOIiIiIKNAxmCYiIiIiKiQG00REREREhcRgmoiIiIiokBhMExEREREVEoNpIiIiIqJCYjBNRERERFRIDKaJiIiIiAqJwTQRERERUSExmCYiIiIiKiQG00TkQTUJSJMGxSwhRGm3hoiIqGwzlXYDiKhsUBSBbDUDa49vwqZT2xFuC0W/xr1R1VoFQuOpgoiIyBf+QhIRACBbzcAry95FiiPNXbbp5Hbc1mwgutXsDKGppdg6IiKisolpHkQE1Qz8vn+RRyCda+au3+BEdim0ioiIqOxjME1EcCAba49v8VknpcTxtFPMnyYi8pOiCJhMCs+bFQTTPIgIgIBZyft0YFZ5qiAiuhJFEcjSJA4fT8appAw0rh2JapWCYBYSUpZ266i48BeSiGCVNvRp2A0/7pzrVWdWzagWXAXSVQoNIyIKEIoicC7diZcnr0FmtuYur1M1FC+Mag9zKbaNihfTPIgIuibRrXZHNKxU16NcEQoe73gvrLq9lFpGRBQYHLrEm99s9AikAeDomTT8uHg/hMKcj/KKPdNEBABQnVY81n4MzmQmYvvZ3Yi0RaBF1Sawy2BInT8CRET5SctyITE5y2fdss0nMKxnY1jYhVkuMZgmIjfVZUVNSy3UqVsXUkromgGm+eVPUQQcukRapgsSEqFBFthMvPggqmh03cizTtMNGFIC4LmhPGIwTUQepAQ0TS/tZgQEoQgcTczAxOlbkJzuAACEBVvwr9tbIzSMqTFEFUlYsBVWiwqH0/v82aReJCwmBRyFWD7xhgMRUSFlOHT898t17kAaAFIznJjw5XqcScosxZYRUUmzmwTuHdDMq9xsUjBmYDy47FX5xWCaiKgQzGYVK7adhKZ79zTphsSSjUdhNvPnk6iiMAyJtjGV8fpDXdCuSRXUrhqK6zrWwcTHuqNSiAWSvdLlFtM8iKhCU1UFDs2AZkioioDdrEDT8s59zCUEcPS094qRuY6cTmO+OVEFIyRQLdyKh4e0gEszYDEpMHQD0uDZoDxjME1EFZYuBHYcOo9v5+9G4oUsVAqz4Y7rY9GqUWUoV+hF0nWJFo0qY832Uz7rWzWOZn4kUQUkJQDdgEkARj6DEqn8YJoHEVVIqqpg895ETJy+GYkXcqazOp+ajUk/bsXKbSehqPmfHnXdQKvG0QgLtnjVhQaZ0aFZNb96uImIKLAxmCaiCilLMzBt/m6fdTMW7UeW68ozmthNAq+NvQZt46pAiJzUj9ax0XhtbBdUiwq+2k0mIqIyiGkeRFQhZTs0pGX6XiM9y6EhM1uDNSj/BYANQyLYrODhIc2RrRmABKwmBQqzpYmIKgwG00RUIVnMKkyq8DkbhyIAm8W/mTikzPmPLXepYCkZShMRVSBM8yCiCsluVnFt29o+6zrGV4fdz2CaiIgqNgbTRFQhScPArb0ao0PTah7lLRtXxqibmgKcyoqIiPzANA8iqrBMkLh/UDOMvCEOGVkuBNtNCLKarjgtHhERUS4G00RUoSlSIsSiIMRizSlgIE1ERAXANA8iIiIiokJiME1EREREVEgMpomIiIiICok501QmSbOGTCMDWa5shFiCYRN2wMWpyoiIiKhsYTBNZY5ucWDy5mnYcXYvAEBAoFvdDrilyQAoTkspt46IiIjoIqZ5UNli1vHl39PdgTQASEj8dWQdFhxeBpWXf0RERFSGMJimMiXTyMTfp3f5rPvzwF/IEpkl3CIiIiKivDGYpjLFoTnyrtOd0AytBFtDRERElD8G01SmBJntMCm+czkibGEwK8yZJiIiorKDwTSVKTYEoV/jnj7r7mh+M2yGvYRbRERERJQ3DueiMkVqAn3r90C4NQyz98xHmjMDUUGRuCP+ZsRENIaucalnIiIiKjsYTFOZozgt6FKtE9pVbwlN6jAJE6yGHbpmlHbTiK5INQEuuJCtOSAEIHn9R0RUrjGYpjJJ1yRMsLkPUB0MpKlsUxQgS83AksOrsP3sHkTZI9A/pi+qWKMhNJ5qiYjKK57hiYiKSAggXUnFy4vfQZaWDQA4knwcm0/twD2tbkX76LaALkq5lUREVBw4AJGIqIikSccP2391B9KXmrbtZzhEVim0ioiISgKDaSKiInLBhc2nd/is0wwNyY7kkm0QERGVGAbTRERFJABYFHOe9XnNnU5ERIGPwTQRURFZpA296nfxWRdiCUaYJayEW0RERCWFwTQRUREZGnBjo16oE17Do9ysmvHkNffDqttKqWVERFTceO+RiOgqMLmseKrTWJzJTMTepIOoEhKFRhH1YTeCYXBmRyKicovBNFEROVw6sg2J1HQnzCYFoXYzLKqAYVyd1ToURcCpZiHNlQ5DGgi1hMJq2CH1q7J7ukqkBFSXFTUttVCnVh1ERgYjMTGNM6QTEZVzDKaJisAQAnNXHsK0eXug6TlhU/WoYDx3dzuE20xFDqiFAiTqpzFx5RQkZ6cCAGwmK+5tPRxNI+IAXS3ya6CrS0pA42qdREQVBnOmiQpJUQQSTqfhq7m73IE0AJxKysD4yWuRrRe9Z9qhZuLVvz50B9IAkK058PGGr3FBP1/k/RMREVHRMJgmKiRNAjMW7fNZl5zuwJnzmRBFWPROVQV2n9sPp+7yWf/7/iXgjGtERESli8E0kZ8URcAwO5FtyoDLnAWhSCSleq94l+tcchZEEaJpIRScTj+bZ/3ZjHPQoRV6/0RERFR07Nci8odq4KTzNL7aMBPHUk7CoprRu0FXPHFnJ/z3061w+ciRrV01tEg507puIDaqEYA/fdY3qdwYJpih4+oMdCQiIqKCY8800RUIAZzXkvDq8g9wLOUkAMCpuzBv/1LMSfgZw2+s7/WYuLqRiAyxFul5pZSoFVodVYMre9VZTVb0rH8NdI2BNBERUWliME10BYaqYcbOOZA+eoB3nN2LVs1CEVs7AgBgNavo37U+nryjDdSr0GNs1ux4vtsj6Fa3I1QlZ+aO+Cqx+G/PJxFkhBR5/0RERFQ0TPOgckk1CbjghCIUKHrRpqjThYaD54/kWX8++zyeubMtHC4DihCwmRUY+tWZGk1KCbPTjtvjhmBIXD9IKWEVVghNxVWaxpoqGFVV4NQNmBQFkAZkBT+OFBOgwQWTMEFqosK/H0RUcAymqVxRFAGHKRPLjm3A+hNbYDfZcVPj3qgXVgeKy1y4fUoFlYMruVM8LhdpD4MwJGxqzmDDqxVIX0q6BCywX/z7qj8DlXdCEchw6vhj+SHsPJyEKpFBGNKzEaLDbVAqYASpKECGkob5B5Zhb9JBRAdFYWDsdahsqQyhcf52IvIfg2kqVxymTPxn+URcyEpxl+05dwC96nfBkMb9ILSCB9RmacXQJv3w/trPveqigyohOigKekaRmk1UrIQALmS68PzHq+Bw5SydeeR0GjbsPoOxQ1qgQ1w0ZAW61SGEwAWZhPGL34Xrn6knj6WcxOZT23F/2xFoFdUSkhPlEJGfmDNN5YZqEliasNojkM615PAqpBvphdqvrks0DKuP25oNgOmSiZ1rhlXDs10fRqWgiMI2mahEGBD48red7kD6Ul/+thPZFWzFRsPkwjdbf3QH0pf6eutPcIisUmgVEQUq9kxTueFENtYe35xn/b6kw+hQuRL0QqxMqGhm9KjZFZ1qtUWqIw0WkwXBajBMWtFm7CAqCU7dwI6DST7rHC4dKelOVAkL7GPZZMrpG/JnKXendGLPuYM+6xyaA2nONEQJu8/6QFWQ94eICobBNJUbQiiwmSx51ttN1iINLpKagAVBqKwEAQYAAz5n+CAqawQETKrisez9pUxq4N6kNMwupLhSsOX4DpgVM1pXi0ewEgyh5f3zpggBVVGhG9499QByZs4pJ19tQwAX0p3YtOcszCYF7eKqIsSqogiLsxLRZRhMU7lhNqy4oVFPfLZxmledIhQ0jKwHg/MyUwVkNQv0bFsLf64/6lVXKcyG0KDCDc4tbYbZiZ/2zMXyI2vdZT/s+BUjmt+MztU75BlQW2FD19rtsPzIOq+6KHskQk0hgHcGSMDRITBj0X4s2nDxc/923h7ceWMcerSsCaW8XDEQlbLA7Y4guoyuG2gWFYc21Zt7lAsh8GjH0bDKoFJqGVHpkrrEsF6NUKdqqEe53WrC83e3g1UNvH5KIQROZJzyCKRzfbd9NtKNtDwfa7gEhjS5CTVDq3mU2002PNH5Pph121Vvb0kTQuDEuQyPQDrXt/P2IC2rHFwtEJUR7JmmckV1WTCqxXAMjrsBOxP3IsQSjKaVG+cE0nrgBQxEV4tFAC+O6oBTSRnYd/QCqkUFo1GtcNjNCoxCjCMobcIksWDnsjzr15/Yiutr98ozR9jssuGZax7GmcyzOHA+AdVCotEgoi6sur1I89KXFYoi8Pvqw3nWr9p+CoO61IPLx6BUIioYBtMBSJpdyNAzkKVlI8QcDJuw55sfWNEoLjMqiWj0rFEVUgI6B9wQQUrABIk6lYNQv2oIDEPm/AvAQBoApDTg0J151mdr2RAi7wtoKQGTy4paltqoW7NuznvhkgiEs4WqAjYjAzIrFZAGhD0cDiUYmnHx9UrA5+wtuTKzOfcf0dXCCCzAaJZs/N/Grz1Gones2Rojmw+F4sx78F1FxFHrRN6kLB/fDUWa0L1uJ+xK3O+zvn2NVtC0K/e6Btr7YVIkLClHcHb2RBiZqQAAYbEh6oYHoNRoAaeRs+CMgETvtrWxbf85n/vp0qK6X+8PEV0Zc6YDiVnHl3//4DWl07oTW/DHgcVQeGlERBWErhtoEtUYdcJretW1q94ClW2VyuXS4DY9DWdmvOoOpAFAOrNxbs4HMGdfDJx1XSKubiTq1wjz2ke7JlVRJcJeLt8fotLA8CuAZBqZ2Hp6l8+6RYdX4rqG13osOU1EVJ6ZNRue7PwAdpzdg2VH1sCkmHB9wx5oEF4Piqv83alTVQXZ+7cAuu8UjbRN82Drdg+c/1RbFOC5O9th28FzWLThGEyqgn7X1ENMrQionMmD6KphMB1AHLojzzqX7oJmuBhMU7mnqgJOJRsu6YIqVFgRBMPFwKAikhIwOW1oG9UGLSvHQwgBRTeV2+NBUQRc50/mWa8nn4WQOoCcVA8pAbMAOsRWQZvG0TnvD2S5GGBJVJaUiWD6119/xeTJkwEA3bt3x7PPPlvKLSqbgs1BMCsmuAzvXolIWzgsigVgChyVY1LVcTjrGL7++0ecTk+E1WTFdQ2747r6PThmoALTdQPin58zoxz3uOq6AWvd5kjbvMBnvbVec+jChMtXnMl5fwDIwBhgSRRoCpwzrWlXdwRwVlYW/ve//+Hbb7/Fr7/+io0bN2L16tVX9TnKC5sMwsDY63zW3dHiZlgN9kpT+aUoAqccp/Dmyk9wOj0RQM7Sz7/t/RPfbPsR0sTZCah8MwwJU9UGMIVHe9Up1iAENekCjQtTEZU4v4Pp2bNn44YbbkCrVq1w7NgxjB8/Hh9//HGRG6DrOgzDQFZWFjRNg6ZpsFqtRd5veWRowLV1uuDeNsMRYcsZVFI1uDIe7zQGTSJioQfoFFdE/tBUJ6Ztm+WzbsPJrciSmSXcIqKSlymDUWX4eATHd0fOqHMBe6M2qDryVWQq4aXdPKIKya80j9mzZ+O1117D6NGj8X//938AgLi4OLz55puwWCy47777Ct2AkJAQPPbYY7jxxhths9nQoUMHtGnTptD7K+8Ulxnto9qhRY+mMKQBVaiwGHbOpUzlng4dR5JP5FmfnJ2CILP3zAVE5YmUEmkIgb3bPQjtMQJZLgVQTMgSgbn4DlF54Fcw/eWXX+Kll17CgAED8NlnnwEAbr/9doSEhODDDz8sUjC9Z88ezJo1C0uXLkVoaCieeuopfPHFFxgzZoxfj4+KCin0cxdWdHTolTcqdsGl3QC6RNk4Jsq3C1kGouyRSMq64LM+zB6C6Miy9TnwuKDLXa1j4uz5TCzfdAbLNx+H1WLCoO4N0LxhZUSGBf5S6BUNzxOBz69g+siRI2jVqpVXeatWrXDmzJkiNWDlypXo3LkzoqKiAABDhgzB999/73cwnZSUXqIjk6OjQ5GYmFZiz0dlH4+JkqGqJgxt2g+TN33nVVc7vAbsIrhMfQ48LuhyV+uYcEpg/JS1OHP+YmrT29M2oVN8Ndzbv+k/c3lQIOB5InAoisizA9evnOnq1atjz549XuVr1qxB9erVi9S4uLg4rF69GpmZmZBSYsmSJWjevHmR9klE5Y+uG2heuSlujrseqnIxXGgQWQf/6nQ/TBpn86DyT1UVrN1xyiOQzrV2x2lcSM97iXUiKh5+9UyPHj0ar7zyChITEyGlxPr16/Hzzz/jq6++wr/+9a8iNaBr167YtWsXhgwZArPZjObNm+P+++8v0j6pbDKZcq7dAmnpXipbFJcZ19Xphe51OiHdlQGLakGwGgxVM3M1N6oQXLqBFVvznmt6y75E3NihNs+zRCXIr2D61ltvhaZp+Oyzz5CdnY0XXngBVatWxbPPPovhw4cXuRH3338/A+hyzKa4oGZfQNaujYA0ENyoPXR7JLIN9iRSwUlNwIpgWEUwYAAwLp9Vl6j8UhQFdkveP93Bdl5YEpU0vxdtueOOO3DHHXfg/PnzsFgsCAkp+YF/FHhsihOOLXORum6Ouyxl1U8IbXsj7O1uRpbkNIhERP5SIDGga33sOJTkVScE0LJRZeg6e6WJSpLfwfTBgwdx4MABOJ3e+VgDBgy4qo2i8kPJSPQIpHOlbZqHoLjOECF12ItCROQnw5BoUCMcPdvWwtJNx93lQgCP3NoKQRaFt2qISphfwfTkyZMxceJEn3VCCAbT5JPFoiJj3dI869P//hO2nvfB6WQvChGRv1RIjLguBgO6NsC2A+dgt5rQrEEl2M0qBHsniEqcX8H0119/jYceeggPPPAAVycMAEIRyNYMJKc7oSgC4UEW2EyiRKcQ/KclkJojz1rpcoDd0kREBadIIMJuQs9WNQDkzHbD8ylR6fArmHY4HBg0aBAD6QAghcCW/ecwefYOOFw6ACAs2IJn72yHGpXskCUYULtcOoKbdUfGzhU+64Ob94RTL7HmEBGVO8yPJip9fs0zPXDgQMyaNau420JFJARwPs2Bj37c6g6kASA1w4n/fL4Wma6SPelKKSEq1Yatrve84dZaTaBUrlcKveVEREREV49fPdMPPPAABg4ciD/++AO1atWConjG4F9++WWxNI4KRigKfl1xyGedUzOw82ASOjapUqI9GZmGDeE3PoSQ0/uRvnk+IIHg1n1hrhGHDMNeYu0gIiIiKg5+BdPPP/88AKBZs2YICgoq1gZR4emGxNkLWXnWn0rKgKII6CWcWpFp2KFUa4mQm5oBADSY4NTZI01ERESBz69getOmTfjmm2/QsmXL4m4PFYFJFWjRqDL2Hb3gs75Zw6hSWxXLMCQcyF0CmoE0ERERlQ9+5UxXq1YNZrO5uNtCRaRrBnq1q4Ugm/c1Uo3KwagTHQLJ0d5EREREV41fwfSTTz6J8ePHY82aNThx4gTOnDnj8Y/KDrtJwRsPdUXbuCoQAjCbFFzXsQ7Gj+kEs1+fNhERERH5S0g/uipbtGgBl8uVMzuDEO7y3L93795drI3MT1JSeonOCBEdHYrExLSrvl9FEdAVFwwYMMMKQyv8axIiZ4o8pyYBAVhNArIc5CgrioAuc3LDLSYFRhmZEqq4jgkKbDwu6HI8JuhyhT0mFFWBUzOgKAImAc6MVQIURSAqKsRnnV85059//vlVbRB5MswuJKQdw5x9C5HqyEDras3Qt0E32PSQQn1BpMz5j+WfnujyEEjrQmD/iVT8svwA0jJcaN+kKq7rVAdBJoUnESIiqhAURSBbl1i89gjWbD8Fu9WEm7s3REydCKhM4yw1fvVM58fhcJTqYi6B3jMtTTrmJyzG3H2LPMqDzUGY0OspWF2+r4IqEkMIzF5xCHNXHvYoDw0y482Hu8KmijweWTLY20S+8Ligy/GYoMsV9JhwSuD5T1bhQprn6sLXtqmJkdfHQmE8XWyK3DN94cIFfPrpp9i3bx/0f+ZVk1LC5XLhwIED2Lhx49VrbQWTjUyvQBoAMlyZ+HXvQgyPGQxDK91gsbRlOnWvQBoA0jJdmP3XIdzRp3GZSfkgIiIqDoqqYNHqBK9AGgCWbT6Bgd0aIsLuV1hHV5lfQ9LGjx+PuXPnomrVqti4cSNq1KgBl8uFv//+Gw8++GBxt7HcEkLgROqpPOs3ntwGB7y/NBWJoggcOZWaZ/26nafgKKXp/q4ms1mFycQRokRE5JtTM7B6e94xw+6E81DVsvM7YjIpMJtViArQH+jXJcyaNWswceJEdOvWDTt37sTdd9+NJk2a4L///W+pDj4MfBI2sy3PWrvJBoEKcBTmQ0oJuzXvw9RuNQX0O6QDuJDuxLodp2EyKejUrBpC7Sb/rnKJiKjCUBQBu4+pb3MF2UxlYvpbi9Bg0dOQtWsj9IwU2Bq1hQivhsxyvOqxX8F0VlYWGjVqBACoX78+du3ahSZNmuD222/HvffeW6wNLM+kBKoEVYbVZIVD8+6BvqHRtbBKO3QEfs9rYUkJ1IwOgdWswuHyXrpxQNcGsJoE9AAcZKkD+O7PfVi26bi7bMaifRjeNwZ92tZiQE1ERG5mBRjYrQHem77Fq05RBGLqRJb6gHyz0CFObsOp3z5C7gJtqRvmwlq7CSJvehQZ5TSg9uv3umbNmjh06BCAnGA6tzdaVVWkpuZ9C56uzKYH4anOD8CseF7XxFeJQ8cabaAzFxg2k8Dzd7eH6bLbV21iq6BD06oBGUgLIXAsMcMjkM71w5/7kJKllUKriIiorNJ1iaZ1K6Fryxoe5Yoi8PSItrCXgVRBq5GBc3Mn4fKVjh3HdsNxcAPUUp4woLj41TM9aNAgPP3003jjjTfQs2dPjBo1CrVq1cLKlSsRGxtb3G0s1wwDqGmriTf7vohDF44gOTsFsVENEWEJh+K0lHbzygRpSNStEowP/9UD+48nIznNgSb1KiEyxBqwUwEpqsC81Ql51q/aehKDu9WHy0dvPBERVUwqJO6+MQ6DezTEzsPnEWI3I65uJGwm5Z95cUuPogg4Tx4CpO9OwPTNCxDZoAOykHd6a6DyK5geO3YsbDYbDMNAq1atcN999+HDDz9E9erV8eabbxZ3G8s9qQtY9SA0C2sKES5yeqNdpd2qskUaEjZVoGX9ShDin/cIgRlIAznnPFc+dx18pbRcbYoi4NQl0rJcyHLqiAyxwm4u/RMyERHlTQUQGWRGjxbVIaXMSe0oK+dtLe/gRWouBPLvdn78CqaFEBg9erT774ceeggPPfRQsTWqosrJdSqfB9rVUm7eIynRq21t/L0v0Wd1lxbVoWnFF1ArikC6U8f/vtqAU+cyAOSsnHljp3oYcm1DKGXlxExERD6VtTRQw5CwVG+UZ31ws27QVDtQDrMY/QqmJ02a5LNcCAGz2Yxq1aqhe/fuiIiIuJptIyq3DEMirk4EYmpHYN+xZI+6TvHVUDncVqwdDQ5dYsKX63HmfKa7TErgjzUJqFUtFF2aVgnIXHQiIio9LnMIwjrdjNS1sz3KTWHRCGreE+nlMJAG/Aym169fj40bN8JisaBevXoAgCNHjiA7OxvVq1dHSkoKzGYzvvrqK8TFxRVne4nKDZMAnhrRBrsTLuDP9Uehqgpu6lIP9aqF+vfFLILUTKdHIH2pWUv2o11MNEzlc5wIEREVE4dhhr1VP9jrt0Taxt+hZ6UjKO4a2Bq2RQZCUC7uLPvg1292fHw8FEXBxIkTUalSJQBAcnIynnnmGTRt2hTjxo3DK6+8grfffhtffPFFsTaYqLQIARgQyHbl5GvbzGqRp68zAWjVsBKaN8jJBRe5+W/FLCOf2UIupGaX09MdEREVtyzDAhFWH0F9HwYMHZowI10vJymaefArmJ41axa+/vprdyANABEREXjyySdx11134fHHH8eoUaNw6623FltDiUqTogikOXRM+XUHth04BwBoWr8SHri5OaKKmI+Rm04hIUvsVFMpPO/R1DF1IqEqouwMaCEiooAiJeDQBHLCzPL/W+J3x1p6erpXWVpaGnQ9Z5CUqqpQlNKf45CoOGRpEi98utodSAPArsPn8fz/rcLpJN/pEmVZsEVFjza1vMoVAYzq3wxqKbSJiIgoEPkV/fbp0wcvvfQS1q9fD4fDgezsbKxbtw7jx49Hr169kJ2djSlTpiA+Pr6420tU4lRVwbYD55Ca4fSqy8zWsHr7SZjKwGT5BSGkxMjrY3FXvyYIC86Zz7xx7Qi8NrYLKodZy8SStERERIHArzSPF154Ac8++yzuuusuCJEzKkkIgb59++Kll17CypUr8ddff2Hy5MnF2ljKIQQghYCmS5hVAVnKy4eWd6qqYPuhc3nWbz9wDj1b1cizvqxSpUTvNjXRpXl1SAAmRcAkUOrL0RIRkSchBAwAuiFhNglIzrZUpvgVTAcFBeGjjz7C8ePHsWvXLqiqipiYGNSuXRsA0L17d6xYsaJYG0o5pBA4k5KNmYv241RSOhrWjMCwXo0Qbjczx7WYGIaB+tXDsfLvkz7r61UPQ6BOfKFrBsy5jZcSjKOJiMoWA8DxxAz8tGQ/zqVkoWmDKAzu3hAhVpWdaWVEgWbgqlWrFmrV8s6ztFi47HVJUFUFWw+dx8Tpm91lp5MysWbHKUy4vzNqVrKzV7EYaJqBjs2q4Yc/98KleU6SryoCvdrVhqaVrcnziYioHBACq7afwtS5u9xFp5MysXLLCbw5risi7Cb2o5UBgZXoWcFlaQY+m73dq9wwJP7v521wMZ4rFkJRsGrbSTw+vDWiLpkFIzLUisduaw1zgOVLExFRYMjWDXw7b49XuVMzMHXuLhgBe1+0fCnutSHoKkrPdCEjy/e698fPpiPbqSHYwnkYrjanbmDOXwcRGWbDrX1iEBpkgZQSmdkafl52AHdcH4fG1UPy7R0wmRQIIaBpBgf3ERGRX5LTnNDyWDZ824FzcOoSVvbnlDq/gumkpCRERUUVd1voCvKbMUIROWkgdPUJAQTZzDh+Nh3/N2ubV73dmvdtNikEMpw61v99EudTHWjftApqVg7mVSwREV1Rfnc+rRYVCjumywS/oq+hQ4di+3bv9AIqWSFWE+pVD/NZ1ym+OuzslS4WVlVB/671fdbZrSbUqBzs+4FCYPfRC3hs4jJMm78Hf6w+jP98vg5vT9sMjbfmiIjoCsKCzKgU5nuRres71oWNaYZlgl+fgpSSgwzLAFUA/7q9DSJCrR7lNSoH465+TSDzuBVERaPrBq5pXh2tYqI9yi0mBS/c08Ejj/pS2ZqB93/Y4tVrvf94MlZuPQmVJ0EiIsqHVRX49z3tEWTzvJ/ZuFYE+nepD52/+2WCX3ebhw4dijFjxmDIkCGoVasWbDbP4GHAgAHF0jjyJKVEmE3FG2O74MS5dJw8l4F61cJQNdIOs8KZ8YqTKiUeHtICyekO7D2WjMhQK+rXCIPdpPhMrxFC4NiZVGh5zAU6f20CuraoDhM7qImIKA+GIREVYsG7j3bD0TNpSLyQhYa1IhAVZoWpAizTHSj8CqY/+eQTAMBnn33mVSeEYDBdggxDwqIADaqGolH1MBiGASkZSJcEFTkntW7x1SClhGHIPOf4FAJw5dNjoOmSp0EKCIoi4DQkUjNdyMrWEBlmhd2sQvCkQ1QipCFhVQRiaoQjrlYEe6PLIL+C6T17vKdlodIlpYTOFZBKhT8nMsOQOYu5CN8XOt1a1YDVpMDgSZHKMEURSHfq+N/UDTiVlAEg50KxT/s6uLV3Y6gMqIlKDH/3y64CJW2eO3cO69atQ3Z2NpKSkoqrTUTlgt2s4I7rY73KK0fYcGPnegykqcxzGhKvTl3vDqSBnIvDP9cfxbqdpzmDEBER/OyZdjqdGD9+PH755RcoioIFCxbgjTfeQHp6OiZNmoTQ0NDibidRwBES6Nm6JprWj8LvKw8jJcOJzs2ro11cFdhUwdUqqcxLzXDhdFKmz7qflh5A+yZVLy5HT0RUQfnVrTBp0iTs2LED33//PazWnJkkxowZg9OnT+Ptt98u1gYSBTJFAjUibLh/UDM8ObwVusVXhUWgQgbSQlXgMCTSnTo0yXnRA0GmQ8uzLiXdUYItISIqu/z6NZs3bx5efPFFtGnTxl3WunVrTJgwAUuWLCm2xhGVB1IChmYARsXNd9MgMG3hXjzy7jI8OnE5XpqyFvtPpkIKdmuWZZGXTcN5qZjakVC5YgQRkX/B9NmzZ1GjRg2v8sqVKyMtLe2qN4qIyg8dAu/P2ILFG465pwo8cz4Tr05dj9MXsiAYUJdZQRYVfdrX9ipXBDCqf1NwmSgiIj+D6SZNmmDx4sVe5TNnzkRcXNxVbxQRlR9pWS7sOnzeZ923f+yGXsLtIf8JKXFbnxiMHtAUESE5vdSxdSLx2tguiA63QXI2DyIi/wYgPvXUUxgzZgz+/vtvaJqGKVOm4ODBg9i6dSsmT55c3G0kogAlBJCYnJVn/eFTqdANieLOFlBVAafIyfG1wApdYxDoL1VK9GhRA52aVoMEoCoCKsBAmojoH371TLdr1w7Tp0+H2WxG3bp1sX37dtSoUQM///wzrrnmmuJuIxEFKCnzz7utFhVU7IG0bnFg1dm1eGPNR3h99YdYdnIFNEs2mF3iP103YBKAWQCKlAykiYgu4VfPNJCT6sGZO4iooCJCLKgZHYITieledXdcFwezUnzTBGpmBz5Y9zkOXTjiLvthxxysPLIBT18zFiaXrViel4iIKg6/56b6448/MHz4cLRp0wbt2rXDnXfeieXLlxdn24ioHDALgRdHdUBc3Uh3mc2iYszAZmhYM6zYAmlFETiedsIjkM51PO0U9l04BFVl9zQRERWNXz3TP/zwAyZMmID+/ftj4MCBMAwDW7ZswcMPP4y3334bN954Y3G3ky6jqgoURcAwjKs+3ZrZnDNGX9N0n0thBwpFEVBVBVJKaBpXGywtUkrYVOCpO9ogw6HB6TIQYjfDbi7e5dRNJgXrTmzJs371sQ1oHtkUHAFZsfE8QURF5Vcw/fnnn+Pf//43RowY4S4bOXIkWrZsiUmTJjGYLkGKIpDpMvD3ntNIOJ2GJnUj0aRuJdhMRb9VLiGQmu3Cmg3HkJbpQqf4aqgeFeR/LlAZIYSA05A4cDQZWw+cQ83KwWgbVxXBFgWyAi6WUhZICSiQCLWogCXnYq24l1OXEgi1hORZH2IJgYACgAFURaQoAtm6xIGEC9h2KAm1onPOE0FmnieIqGD8ipMSExN9DjTs3r073n333aveKPJNUQQS05x48bPVcDhzutMWrj2C8BAL/vfgNQg2K4XuSZZCYN3uM5g8e4e7bN6aBMQ3iMKjt7YMqIDaYUi8NHkNEi9cnEXi23m78fK9nVCnclCFXH2wInK5dHSt0wG/7/ee1hMA+jToBs3FQLqiytIkXpq8GueSs91l387bg/FjOqFWJTvPE0TkN79ypnv06IEZM2Z4lS9cuBDdunW76o0i35yGxLvfb3IH0rlS0p2YMnsHpCj88sxZLt0jkM6141ASth5ICpiln4Wq4Ic/93kE0gCg6RLvfLcJjgq6AmFFFaqG4p5Wt0DAMzf6lmb9EWWuVEqtolKnCHw3f49HIA0ALs3geYKICsyvDsfatWvj22+/xcaNG9G+fXuYTCbs2LEDa9euRd++ffHSSy+5t50wYUKxNbaiy8jScDop02fd1gPnkOXUYTcVfECVqgrs3Od7UQ0A+GP1YbRqFBUQq505NAMrt57wWZea4URKhhOVQywl3CoqLUIzoV10GzS/rgn2nz8EQ0o0jmoAO+wQWiDdb6GryaFJrN5xymddcpoDqZkuRAWbS7hVRBSo/Po12bZtG1q2bAkA2LHjYu9lu3btcOHCBVy4cAEAuCxwMTOukMORM/drYT4DAd3I+3a3rkuUpX4aIQQ0kwPpWhrSnBmItIUjSARDaCZICej53J690nt4tUkhkOnUkZSSjRC7GWHBFlgU8BZyCRK6ChtC0DIi5xxmcMEWgsz3O1jS5wkiCmx+BdPffvttcbeD/BBiNyMy1IoLaQ6vusa1I2CzqChM0rSuG2hWPyrP+l7tasGqKtCLecCYP4QAHKYMTFw7GcdSTrrL21Zvjnta3garZkX7JlWxftcZr8farSaEB+e9gMjVpguBaQv2Yvnm4+6y6lHBeGFUe4RYVAbUJYzvN+WyqApax0Rjy75Er7pgmwnhwbx7RUT+C4xEWAIAWFWBR29tBeWyJeOsFhUPDm6OQmR4uAVbVQzq3sCrvGZ0CDo3r14mAmkA0E0ufLzhK49AGgA2ndqOeQeXQFUk7rqxCYLt3rdoHxraAnZzydw9UVUFK/4+4RFIA8CppAy89tUGOBnYEZUaBRKj+jdDkM2zP0kIYNwtLWErysmUiCocJg0GEMOQqFs1BO8/3gPz1x7B0TOpaFK3Eq5tWwvBZqVIPW8KgP7X1Ef7JlXx+6oEZDhc6NGqJuIbRMEiCtXhXSwy9QwcOJ/gs27RoRW4rkEPhFiD8M4jXbFq2yls3X8OVSsFod819RARZIZRQgOLsjUDvyw/6LPu5LkMpGVpiLTz60dUGqQEwmwq3n20O1ZsPYHtB5JQvXIQbuxcD+H2kjtPEFH5wF/zQGNIhAWrGHpdbWiaDrOqQtUV6FchD1SFRM1Kdjx4czNImZN9retGmQmkAcChO/Osc+ouaIYOsyFhVQSua18bN7SrCrPhBPQM6EowHIapRF6PIYG0TFee9dkODWAwTVRqDEPCqgDXt6+Nvm1rQ1EAXTPKTs8BBSzVrCI9O2eBKptFRahNhdPJ1aHKM/6aBxjD4sSfCSswb/9SOHQnQizBGNq0H9pVbQXFVfTR51L+84NSRoWYg2FSTNAMzauuakg0LIoZ0AFVkbCmHcP5+Z/BeTZnOWlbvRaI7HsvMtWIYs+fNasCDWuF4+DxFK86IYAIzihCVCbknu/KSCYbBThNCPy4eD8Wrz8Kp2YgIsSK26+PRZvGlQNiRiwqHL9zprOzs+F05vQKHjx4EF988QU2btxYbA0jb4pZ4rf9f2L2ngXuHtp0Zwa+/vtHbDqzFWoFyPOzwY5Bsdf5rLur5TBYDDsAwK6l4Mx3492BNABkJ2zD2emvwC7Ti72dJgHcOyAevia4ubFTPdjMPK0SEZUnUlXw1e+7MW91Apz/XKQlpzvwf7O2Yfuh87BY2H9ZXvkVTK9duxbdunXDpk2bcObMGQwbNgyTJ0/G3XffjTlz5hR3G+kfWTITiw+t8Fk3a9fvyBZZPuvKE6kpuLZOFzzY7k5EB0dBQKBeRC282P1R1A2qA103YDYJpP+9EFL3TrPQ0y9AO3PIaxDn1WYYEtUibHh9bBfE1YmEEEBUuA33D26Owdc2hOCtZCKiciUjW8Oa7Sd91k1fuBfpDu87qlQ++HWZ9N577+Gmm25Cq1at8O233yIiIgILFizAr7/+iilTpmDgwIHF3U4CkKllQZe+70WmOTPgNJwww1bCrSp5isuMVpEt0bRrDCQkFKnCZFjcg4ZU6ULGyf15Pt55cj9MNVvBMIo5h01KVA234ak7WkP/JwfdahLQObgpX4qqwKEZUETOFGZlZSYZotIkBGAIAU2XMKsCQkqmd5cxaRnOPD+TxOQsaLoBi4mTqJVHfgXTu3fvxrvvvgu73Y4VK1bg2muvhcViQZcuXbjiYQmymWwQEPC1hIrNZIX5n3zhikDXDaj6xTmjjUveE0OYYIqqBUceAbU5ug60EgrQpJRQAOR2hDOQzpuiCGRpBuatOoQ1O07BbjVhYNcGaNmoMtQytWwQUckyBJCY4sAPC/fieGI66lUPw219YlA51AJ+NcoOX1Oy5goPsUBVGEiXV359sqGhocjIyEB6ejq2bNmCLl26AACOHz+OiIiI4mwfXSJIBKFTrdY+626K6Q27tJdwi8ompwaEtesHCO/DW1iDYKkZywU8yqAsTeK5T1ZhzopDSLyQhaOn0zDpp634/Led0Au1sidR4FNUgT1HU/D8J6uw9cA5JKVkY9Oes3j245U4fCYDqsoArawIsZnRvGFln3VDrm2EEBvHypRXfn0Lu3fvjpdffhmPPvoogoOD0a1bN6xevRovvfQSevbsWdxtpH9Il4Lb4wejc+227qXbVUVFv8a9cG2da6AzHcvNYa2EKsOehRoc4S4zV6qBane8gkwlrPQaRj6pqoJFG44iJd176sN1O08jJSPvKRGJyrNsTWLy7O1e5VICn/6yDY4yPPtSRaNIA+NuaYl2cVXcg8/NJgVDejZC5/jqcHF6vHLLrzSPl19+GR988AGOHj2KTz75BFarFVu2bEHbtm3x3HPPFXcb6RKq04qRTW/BsCY3IVt3wG6ywS6DYDiL3nMnBGAy5Vw5u1yB/aV3GSqMynGIHvkaZHYahKJCWkOQCbtHr7SqKlDVnDzm8pibazIpUBQBXTeg67LMvl6HZmDdztN51u9KOI8eLcrOSpxEJSUzW0NqHheTiReykOnUEWYt3z2eQgiYzQqkLPu/TWZIPDikBTIdGrIcGkLsZoTYTNDLeLupaPwKpu12u1fQ/PDDDxdLgyh/iiKQmS2waW8mEk6loGm9SmhaPxh2kyhS6oIOgaSUbPz19wkIIdC9VU1UCrUGdK6qrktkIAiwBuUUGEBugqGiAllKBraf2YNDyUfQuFIDNIuOgU0PLhcpIIoikOkysGnnKSScTkWz+pUQVz8CB5K3Y3fifsRENUSTyo1hN4LLRB63qggE2/LONwwNMkNytBVVQKZ80jiEyJnTvjzTJHA8MR1rdpxCWJAFXVvWQKjdBKUMnw4Uw0CIWUGIOWc9AQbS5Z/fkx4uXLgQX3/9Nfbv3w+LxYJGjRph7Nix6NixY3G2jy6hKAJnUx14afIaOP65XbR4wzGEBVvwvwevQYhFKdTobh3A9EX7sGTjMXfZ76sO4/qOdTGsZ8NyN9G8oghcMM7hv0vfR7bmAAAsT1iLYEsQXu7xBEJFREAHbqoqcDrZgZcnr4HDdfE4CQ+x4PG7Y7H+xE9YlrAWoZZgvNzjCQSLsFKfFUAVwKAeDfHWt95z16uKQGydyHJxkUNUUEFWFXF1I7HnyAWvujaxVWC3qDlLrpZDGgQm/rDZ47XPWnoADw5pjvaxVTjFKJUZfuVMf/XVV/jXv/6FOnXq4PHHH8fYsWNRqVIljB49GnPnzi3uNtI/nIbEu99vdgfSuVIznJjy6w4YhRikJQRw+nyWRyCda8G6IziX4vC58Eggc6kOfLz+a3cgnSvDmYkpm76DYQrs/NxsTeKd7ze5A+lcKelO/LLwJHrU7gYgZzrFL7b8AEMt/WR7w5BoXDMcfTvU8Sg3qQqev7s9bJxOiiooFRKP3toK0ZGeA8xrVA7GfYPiy21AqaoCG3af8XkR8dkv25HtYsoXlR1+9Ux//fXXeOmll3Dbbbe5y0aMGIGvvvoKH330Efr3719sDaSL0rM0nDmf6bNu24FzyHYZsBdwFUSTScWCdUfyrF+88RjuuTEWznI0cCJLz8SJNN/5uQfOJyDLyEIQir40e2nJyNaQeMH3Aj7b9ifhxl6xmIeFAIA95w4gG9mwI6Qkm+iTConbejdC/y71se/YBQTbzKhXPQx2swJZTnveiK5ESiDIrODV+zvjzIUsnErKQM3oYFSJsMMsREDfRcuPQ5OYv9b3b5OUwN6jF9CmURTvWFGZ4Fd3z/nz532mc/To0QOnTp266o0qr4QADLMTKSIJRx0JSFMuwDB7r9KXlyudNAt7Us0vZzZnPuacAN0QAulOHYfPpiMp3QkNAroQSExz4vDZdGS4DBgl1I0tVAmnOQuntZM44ToGhzkDUP3rqbjy+3g1Wlh6jAK+vrL0Y6xIINSqon1MNJrWiYBNFQykqcIzDAmzAGpH2dExNho1I+0woWx9d4tDfgOOORiZyhK/eqavvfZazJo1C08++aRH+e+//+6ec5ryJwTgNGfhvTVTcCTluLu8aXRjPNj2LqhOaz6PzhFiN6NSmA3nU7O96hrXjoDNohY4EtQ0A3061MaaHb4vinq2rQWXS4MuBKb+vgurt13crmqlIDw0tAXe/2ELLqTlpEz0alcLt/eNhVqMJ3mhSiRkJuCDdV/C8U+qhqqouLvlMLSJbgWh5Z/lbTfbEB0chcSMJK+62uE1YFft/wxWDEwhdjMiQq1ITnN41cXWicCxjMPuv+tH1oZNsZW5xX7Y20TkTcryH0DnspoV9GpXG9Pm7/FZH1uvEs8TVGbk2TP90ksvuf8JIfD5559j+PDhePPNN/H2229j9OjR+L//+z9Ur169JNsbsAyThsmbvvMIpAFgV+J+zNrzB4T5yicFqyrw6G2toCqevb82i4oHh7Qo1EBBKSVqVwlB65hor7oOTauiRlQQFFVgyaZjHoE0AJw5n4nPftmOob0au8uWbDyOdbvOQC3GEeZZIgPvrP7MHUgDgG7o+HLLDFxwnc/3sYoicDYzCXc0HwRV8XzHzKoZ97e9AybdUiztLil2k8Bjt7aCctlxYreacEu/2lhydDkAwKpaMKZN4L9eIip/dM1At5Y1UaNysFfdrX0aI9jCcRRUduTZM52QkODxd7t27QAAO3bscJe1adMGBw4cKJ6WlTNZRiZ2Je7zWbfy6HoMirkeVgTluw/DkKgTHYz3Hu+BRRuOIOF0GprWq4RurWoi2KwU+irdBGDskOY4cjoN89cegSIEru9UF3WqhkKFRLZLYs6Kwz4fe/JcBqIjPAfG/Lz0ADrEVUEB07f9a6tJweZT22FI313H8w8uxZ1NboPu8v1e6IoLP+z4FRbVgqe6PIDNJ3fgVNoZ1AqvjpbVmsKpuyADfMClrkvUrRqC9x/vgYXrjuDo2TQ0qx+FLq2q4e+k9agTXgMxUfXRpXZHBMlgGGVgajwiostZFInx93bEzsPn8dffJxBiN6PfNfVQJcJebgdeUmDKM5j+9ttvS7Id5Z5Tzzs3Wjd0aIYLV070AGBIhFgUDOvRCIaUECLnCr6ot7tMABrXCEPMsBYAAGlI9z4NCWRk5d1+12UrcCWnO4ptdmohBBIzvdMzciVlJkOXOvK66aJDR0p2Gs5lnseecwfQomocooOjcDzlFBbsX47RrW9Dzcq1oJextIcC++c4ubWn53HSvUYXdK3RCUIq0DVZrNksqqrAamRAuDIB1QzNFASH7vdsnERUwUkJmAXQtnFltGlcGUIIGLpeYVJdKHD4/cumaRoWLlyIQ4cOYeTIkdi3bx8aNWqESpUqFbkRS5YswaRJk5CZmYmuXbvixRdfLPI+y5ogsx1Wk9UjNSFXJXsErKqtQHm6mnb1oz3DkD7nKzWrAg1rhuPgiRSvOkUAFrNnukTT+pVgUkSxjOTTdQMtqzbFwoN/+axvXT0eqlSh5xHOW2BB8yqxWJqwBlJKbD2926O+fmSdMrGIydVy+XGiuXIHlBbva7QoGtRzB5G08HNoKYmAUBAU0x7h196JDIQE/CBPIio5HGxIZZ1fSUdnz57FgAED8OKLL+KTTz5BWloapk6digEDBhQ5zePYsWMYP348PvnkE/z222/YtWsXli9fXqR9lkU2GYTbmg3wWXdXy2GwGnafdWWBSQD3Doz3Od90nw51PZaBVhSBe/o1hVJMwZphSNQKrYlaod65+mHWUHSs0SrfYNjQBG6K6QOr6p0nHF8lFuHm8Kva3opICMCccQZnf3wjJ5AGAGkgc+86nPv5bdiF9wBaIiKiQOVXMP3GG2+gcePGWLt2LazWnGSEt99+G/Hx8XjzzTeL1IA///wT/fr1Q7Vq1WA2m/Hee++hZcuWRdpnWWRoQPuqbfB4pzGoEVoVilBQL6IWnu82Do3CGpTpK2/DkKgWYcMbD3VF0/qVoCoCVSLteGhoC/RsWwtb95+Fqgg0b1gZbz3cFZVCLcXa82jWrHi6y1jcFNMbQWY7zKoZ3ep2xCvX/gtW3XuwyuWCjFBM6PU02tVoAVVREWYNxS3N+uOBNndCcQXu/NJlhUVoSF4xA756v12JR4D0cyXfKCIiomLiV5rHunXr8MUXX8BiudibFxISgieffBIjRowoUgOOHDkCs9mMe++9F4mJiejZsycef/zxIu2zrFI0E+JCY/Fc53qQwoAiVZgMCwwt/8hTVQVcwgkDBiywwijCgnWqScCBnJ5BK2zQr/DcblKiSpgV/xreGrqRk4NrVRUoCvC/sZ0hpYRFVSAMFPu8wFICJqcN/evdgOvq9wAAmGGFdAkYfvSISwMIEeEY1fwO3NncCUAgSAlClkOHSwI2k1KmL27KOtVw5gTNedAunIYSUpvTWhERUbngVzCdnZ0Ns9m7x87pdBZ5IICu69i4cSO+/fZbBAUF4aGHHsIvv/yCIUOG+PX4qKiSX7ktOjq0iHvwv83J2anYcWYPZu9egDRnOlpVbYpBTa5DtZAqUJSCTQ2UmJGEPw+txvKEtVCFgj4Nu6Fr3faICoos6AsAAKRkp2Hn2b34ZfcCpGanoUW1Jri5yfWoXoi2FV7RP//zKdlYteMUfltxCNlODdc0r4EB3RqgWtSVe7lzFf2YKD/0LAFTRHXoGd459gBgqVQF4aXwvS0NPC7ocjwm6HI8JgKfX8F0ly5dMGXKFLz++uvusrS0NEycONHnyogFUblyZXTu3Nk9kLF3797Ytm2b38F0UlJ6ifZwRUeHIjExrUSeS5o0/LL/Dyw+vNJdtjRhDdYc34xXez0Du+b/F1AzZ+O1lR/iTMbFW+zfbfsFq49uxBMd74fq8msuEY+2/XZwARYcvJjfvjxhLdYe24xXez+DIC2sQPsrLTqAT37eji37Et1lc1Ycwl9bTuD1h7rA6sc1QUkeE4FACIHw7rfh7PT/eNWZIqpCBkVXiPeLxwVdjscEXY7HROBQFJFnB65f3Yf//ve/sWnTJnTr1g0OhwPjxo3Dtddei6NHj+K5554rUuN69uyJlStXIjU1FbquY8WKFWjWrFmR9lleZMlMj0A6V7bmwOw98yFM/l1EqKqCXef2eQTSuQ4nH8Px9FNeC3xcSTayPALpXA7diVm7/gDMgZEmcT7N6RFI50pOd2D5luNQi2Oy7HJOSgkjvBaibhoHxXaxd99aIwbRt76AzCvMp05ERBRI/OqZrlatGubMmYO5c+di9+7dMJvNaNSoEQYOHOgekFhYLVu2xJgxY3DHHXfA5XKhS5cuGDp0aJH2GWiEAMxmFVICLpf+T5nAiTTfS3wDwJbTOzEsbgDMsF35CRQda45vyrN6/YnNaBzXEE6nf9PtCQGcSj+bZ/3fp3dieDOnu22KImAyKR6vrywwmRRsP+h5gSEEEFMnEuEhVhw8ngxn21oFXllSVRWoqoBhSGha6V5UmM0qhABcLqNQKVm5j9cKOJe5wzDDVKcdqtwdB5mdDmGywDCHIENaOEcsERGVK37PM22323HLLbd4lS9btgzXXnttkRoxbNgwDBs2rEj7CFS62YmzWYlYdXA9LKoFXet2QKQpArpuhkXJO1AOMQdBNwTM4srzOQsoCLPmnaMabg0v0OwbUgJ2U95tC7YEQYGAEAJOQ+LA0WRs2HUGVSoFoWuLGgixqsUyB3VBSSkRFnxxUG2LxpUwqG8N7EneifOOc4iJaAzDkg2zZvcrkFQUgSxNYueBRGw/eA71qoehQ9NqCLIoxT4o83IGgAsZTizbfAIOp45urWqgRlQwVH+nLBQC6Q4NKzccw9kLWejQtCoa1gyHRfH/o9N0QEMIkHvsBcbNCiIiogLJN5ieN28e5s2bB1VVMWjQII+gOSkpCRMmTMCCBQuwe/fuvHdCedLNTkzdOh1bTu90ly04uBwDY69DcGosoqKssJtsyNK85+XtXqs73v1mB4Zc2whNa0fk29unuST6NuiOlUc3+Ky/pnbbAvcYR9krIdgchAxXplddv8a9YDFsyDYkXvl8HU4lZbjrflq8D0+PbIu42uHIY0XwEqPrEs0aREFRBOpXD0XfXiF4b9NE6P80bPWxDYg8EI6Xuj8Oq5H/YEQhgHSnjn//32qkZjgBAMu3nMD0hXvxn/s7o0akvcRmCDEAzN9wDD8t3u8uW7ThKFrHVsHYwc1hulJALQR2H0vGO99tcgfOyzYfR43KwRg/piM4eSAREdFFeeZMf/XVV3jiiSewZ88e7Nu3D2PHjsW8efMAAH/88Qf69euHJUuWYNy4cSXW2PJEUQQOpxzxCKRzzdm7ENVqKJj95wk80Ope2EyeqTStq7ZEuF4HB4+n4IMftiDbjxX7oixRGB4/EAIXc4AVoeD+diMRrBR8JLFNt+PZrg959VC3rd4CHaq3hoTAnJWHPAJpIGeBxfd/+BvZ/k7JV8zsZgXP3dUOA3vXxDc7v3MH0rkuZKXgx51zIUz5B8KGEPj8153uQDqXUzPw7veb4CjBdI+0LM0jkM61Ze9ZHDiefMX8eIdu4P0ftnj1QJ88l4E/VidAUUtqphYiIqKyL8+e6ZkzZ2LkyJHupb0///xzTJkyBUlJSXj11VfRtm1bTJgwAQ0aNCixxpYnUjXw5yHfS2IDwJ4Lu6CqlTHz17O4/4ZxyBQXkO5MR0x0Pew/lIWPf9gLICdYO3M+E3Uq5z+oS2gmdKveGe1qtMThC8egKgrqRdSG1bBD6BfXK/QjawQAYBhAtKkKXuv9PE6ln0aKIw31wmshRA2F4jTDIQ0s2Xjc52MdLh3nkrNRs1LJrfqY1+sSUqJR9TAkGdlI35PhvQGAdSe24LZmA2FG3u3Ndhr4e7/3QEYAOJecjbQsFyKDir9P12RSsH73mTzr/1iTgLg6rfLdx5nzWXDlEfwv3nAM/TrXg5njMomIiADkE0yfPHkSt99+u/vvkSNHYuLEiXjvvffwzDPPYNSoURC+1pcmP0kY+eQ5GNKAIgQOnkjDm1/sRFiwBTaLCldHJ5ZuOuWRw2v4m8Sqq7AjFPHhObOlaHAixUhGqiMdlc3VkJEpkZzmRHSEHSE20xUH3hk6YNHtqGerD2HPGXCHSxaUya9degnlEEshkOHUcSYpAyFBFlQKtcKqCmiqE+laGs5nJSPcFoYgixXBliBkOL3TVuQ//7vCM+VfW4SXq6oSNj0DMi0RhuaCKaIqnGownIbvr69u5HNcGRKAyLe9+X1ufh9rAURVJOxGOvTUREhdgymi2j/vb0GHnhIRUUWUZzCdnZ2NiIgI9982mw1WqxUPPfQQRo8eXRJtK9cUQ0Wv+l2wK9H7djwAxEU2xbzjh9x/p2Y4kZoB1K0ehlPn0t3lJlWgWqWCTTVmGBK6xYFJG6biVNoZjG35EF79ZgtOnbvYM9s6JhoPDW0B1Y/gSUp45WxbTALdWtXEovVHvbY3qQqqRBZ/r7QuBKb/udejhzw6woYJj7TBp5u+xt5zB93ldcJr4tGOo/D+mi+8ctTbVouH5QqzpljNKprUi8TuhAtedRGhVoQWslfapBgwJx3EmV/ehXT90y6hIOLakbDGdoXDsHhsr2kGOjSphpmLfB9X13WsC1VI5JchX61SEEyqgOYjfah7q5qwmhQY5WSFyJz3dz9Oz54I6XLkFCoqInvdBWuja+AwmCFORET5K3DyY+/evYujHRWOrkvERDZETJR3mkzP+l2QeEbAcdmgwAHdGmDj7jO4tFP3gcHNYTMX7GMUZgM/7JyNfUmHcFODG/Ht7KMegTQAbNmXiDkrDhU6P1bqEkOvbYRKYd5B6NghzWE3FW/eraoKbNh91ivVpEVMJczcMccjkAaAoykn8OueP9G3UTeP8hBLMIY3vxlCy7+9KoAHBrdAkM3z+lRVBB6/rRVshZyv2qan4exPb1wMpAFAGkhe+g3UtNPwdXMoItiMGzrV9SqPrROJpvUioV8hx95mVnD/zc29yqPCbbi5e8NyE0gDgE1PxdlZb10MpAHA0HFh0VSo6Wd8vr9ERESX8ntqvFyqylufV4vqsmJcu1FISD2KpQlrYFHN6NugO6rao6E7rQi/PRjLt5xASJAZN3aqh8gwG/7el4g2sVUQFW7DDZ3qIiLYAhQwZSJbZmHt8S0AgOr2Ojh0YpfP7RauO4qbrqkPSyHjXrtJ4LWx12DLvkSs33Ua0RF2XN+pHiKCTMU+13C2JvHLsgNe5W2bh+PjHZt9PmZX4j7c3WoYnJoTp9LPonmVJmhXvSVsRhD0K7RXSolwuwnvPtodq7adxM7DSahdJRR9OtRBiFW9YgDri6oqcBzcnpNP40Pa+rkI6jsWDs0z4lMADL22Ebq0rIH5a47A4dLRp11tNKgZ5t8X3pBoGxONdx/thvlrjyApJRsdm1VDy8aVYftn/uzyQFUVZO/bkvf7u3Eu7L0egFNjRE1ERHnL97f1m2++gd1+8Xa8ruv4/vvvER4e7rHdgw8+WDytqwBUlxWNg2MQ0yImJ5PVABwuiWynhpjakWjRqDIUSOhazqIbnZpUQaemVaCqCtKyNKRla7CYFARZVL97DF2Gy52v7XLlHRg5XDo0w4BFuXI0ragKspw6HC4dVouKILMKXTdgEUCXZlVxTbOqUITImYLPz1hMURVkuXQ4nDn7tJv9f40SOasYXk4oRr656pquY3DDAZCQEFJAcxnQ/WywNCSsCnBdu1ro064WFAFoLqPAFzvutgoBLdV71cpcesZ5CEMDfExWp0KiViU7HhjUDFJKSEMWKAgWUiIyyIy7ro/NyZOWgK4XbOGWsk5RBFz5vb/pFyCkjkL0ORARVRgW1YBZTwc0F2C2waGE+EwTLM/y/JWoUaMGfvvtN4+yypUrY8GCBR5lQggG00VkGBIwAKEInDqfhY9nbcOJxJy86GYNKmHskBYIsaiQUkLXDegQWLXlOGYu3ofMf4LpGzrXxYAuDfxalMOm2hBhC0NydirMVgMmVYHmI0itGR0Cq0nFlaJfXQj8vjoBc1cehsOlw241YUjPRri2VU2ouLgKYEFmstaFwPx1R/HrXwfhcOqwWVQM6t4QfdrX9iuP26wIxDeMwpa9F2fYiAq3oXpkBCLt4biQleL1GLvJhmBzUE4ADMDvqP8yua+3qMkQum7AVrc5UtfO9llva9AGmrAgr3ZKCWhFXHGyLK1YebVpmgFb/VZI2/C7z3p7w7bQhRmFPQ6IiMq7ECULaat/QtL25YChQbGHIKLHHbDVa4fsy8b0lGd5BtNLliwpyXYQgLRsHS9NXuMx08XOQ+fx0mdr8PpDXWARObemV+84ha9+v5ia4dQMzFlxGFkOHbf3aXzFnlCrYcddLYfhw3VfYtWplRhwbTv8sviI13b3DYqHWcmZBi8vQhH4bcUhzFlx2F2W5dDw3fw9EAD6tq1V4MVKFFXB76sTMGvpxTSNbKeOGYv2QQK4qWOdK+5TgcSdNzTBtv3n3O/n3f2a4qtfDmFwj0H4cts3Xo+5LX4grNJeZhbqk1JCRNSApWo9OM8keNQp9hAENe2G9Ap29X81SSmhRtaCuUpduM56Hv9KUBjscdcgvYzMh05EVNbYFBeSl3yJrH0XF4QzstJxfv5kVB5oh1qzbYktVlbauPpCGaGoCuauOuRzyrgLaQ4cPpn6z3LVBmb8uc/nPhZvPIYs55UPXF2XaBzWGM93G4fErLMIrZmIB2+JQ83oEJhUBXF1IvHa2C6oHR10xdv6WS4Df6z2DsQBYNbSA8hyFfyLlOXS8duKQz7rfl1+EJl+7FNKIDLYhLcf6YbWsdGoEmmHw6Xj7/2J2LNdxcNtHkD9yDowKSbUDq+Bh9rei/bVWsPQrrjrEpUFO6IGP4P/Z++sw+Q4rr39VnX38CyTtGJmsGTJkkFmjikxQxI7ceAGbujeJDcO88UkX5ILYUPMiZmZZcmWZNmWxSwt03B3V31/zGql1cysaEmrfp9Hep7t6u5prD516pzfKV50GTIYRVh+wjOWUH3dj0jIooE+vKOeBEEqLvtnik64BBmMIKwA4VmnUX3dD0mIQy9m5OHh4XGsYNqxbob0vrQ8fzt+lb92w1DECwYcJDiuYsOO3NCDPWzY3sr00SXYKYeOhJ13HaU0ibRNJOAnTVb9wY8fN4+BKF2DUf7RfPn4T6OEiyUs5k2oRSmNIQUGuXJ3+UimnbwhInvaUraLz39oSavJtEumQNGQtO2SSjv4gwd+dLWC0pDJ5y6bhZCCJztl+p55Yxcr1gQ4a/EFnD3RT2NrhheeizHlEuOA2tr7YxgCJ9ZCSGSwZRDb7d1kNa0hpkNYcy+ictaZCMCRQWKuOOxYbI+97L2+l1A5+2wEYMsAMVd619fDw8OjB1Q6VrDNbW/M5vQcI/nbnjE9SDANyajqKBu25zeoxwwvQimNZRqEAybxVK6FLAUEAwYv7HqZpze+jKMcThx5PGeOOxm/k+tlVkojlYXEQpNNWjMEoA9comQPQb+JIUVej7rfZ+A/RNk+gIDPKBjHbZkS/yEY51qDQCM1jK7Z68ltaktx52N7Q1NOmVuLZRyafnJYJkmvW8rO5Y+h7RShyYuIzDufhCzq9UQ92wGbTj3xoRvGPGDYrnd9PTw8PA4F6Q8XbDMipWhpHDMpJ16YxyBBuYqLTxmPzDOKi4YsxteWoJQmYEkuPXVC3n2cNLuW5Q1v8td3HqAh3kRLso2H1z7ND178LzJGsk+OO2hJzjh+ZN62i04aS+gwjOmQT+bVSQY4b9EYQtahyzMqpRk7vIiicG5ChBRwyZJD008OyRStj/2Glqf/iNOyGzfWSsfyx6i//VuEdMchH5+Hh4eHh8fRhGtFCIyZlbet5OQrScvCxvZQwzOmBxFFQZNbblxIefHeQidjhhXxw08tJmRlrWzlKpbMreXy0yfg6yx8IqXg1HkjuOKcsdzz/t9z9tuUaGFF3WrMPiiUopXm8tMncvbCURidIwHTkFx08jjOXjj6sPSVlau5+JRxnLdoDKaxZ5+CCxaP5UMnjT3soiEBQ/DDTy1m7PC9HuqyogDf/NgCSoIHX+lOCCDWQGrLOzltbryNxLsvdh23h4eHh4fHUCSpfJSe+2lCkxayJ55DWAFKllyDMXruYX3/j1aE7uvqGX1MU1OsX7VvKyujNDT0jufRNCVSyqzcXaeBaBiSlKOIpxwMKQj5DSyZWyhDGpJExiWZdgj4TCJBk79veIjH1z+f97emVk7k83NvQh+gkt/hIqQgYStSaYeg3yTok+gjfJGElCQ6Y6SDfpOgZaB7khY5mH0KgaMhkXZwlSYcMAmY4pBeetOUqFWP0PbyXXnbfdVjKL70m8eULNBAIwRYnTMWtu0yGHq13uwrPIYG3jPhsT9D4ZnwSwfLiaHsNMIfJmNGsAdZMn9vIKWgvDySt82LmR4AZKfhufSdHazf3sbUMWUcN7mKoClwXYUloGSfBLt8gwXlKgKGIBDKelSF1hT5C6sPFPkjSCH7LBxUK03QEAQ7j+dIDensPlX3fR6hIQ2dcmhAdJ+460MdPWsNRri4YLsMRNHCqxTaX7hAY1ua55Zvw3U1p84bQU1p8JCTST08PDw8Dp20MknLEvB3LhiChvSB8IzpfkZKQUNHmm/9z2ukM1nT9uWVOwkHTH70mRMpDhxeqW3HURw/fDb3vPsw+dIHz51w2qCTfTtacV1FcNR0EDIrGbIf0QUfIq1MjpnMiwHERXDvc+t54o298ozPLNvGopk13HjBNM+g9vDw8PDoc7yY6X4mo+A//vp2lyG9h3jK4df3rjwiz3FIRPjcgo9hiL23VSC4YvqHqPSVD4qp76FC2ohS+eGvgdF9PFq04CJE+ejDGhB5HBpCQHNHqpshvYfX3tnN9oY4Qnix6x4eHh4efYvnme5n4imbXY1ZIXO/z8CQgkSnzN26ba0kMy7hw1DAAMCRTCmezL+efQvb2nfiuA5jSkbi10GE07s+OiHoN+O8P3/rYBACbCXRFZMZdtN/opq346ST+KrGYlsRkurgkxk9Dh/TNHj+rR0F2x9/fQv/cOkMHK+KoYfHkGCwfQs8PPbgGdMDwLRxpVx0+nDSsh1HuRSbZTz3ej2vrKg/co+mK/G7YSaGJiEEqN42JEyXFEl2xerwm34qguX43WC+aIcjRglBR9KmvjlBcdRPacSP38hNxuwvtBDEMy67GuNEghYVxQGUUUT55AU0NcXIKM2gqUV+jKB6eF+UOni9dA8Pj8GJEIKUq9jVlEBrzbDyMAFTela1x6DCM6b7mUjI4JyzQvx21S/JuNlKhlJILplxIeNGTCDo651YW611r/c1yrJ5butL/O39J7risgOmn68u/hTD/bXoXqz+5wrBb+5fxdsfNHQtqy4LccuNCwhbRr+HUbhCcOfTa3nmzW1dy4rCPr5900LKyvSAGfjHMo7jsmRuLU+8nr+c/TknjEZ798XD46hFC8F7W1v5xV1vY3dWxTWk4FOXzmTepEqEZ1B7DBK8mOl+xpZx/nfFH7sMaQClFfevfZDpU334BmnGlBCCHfGd3P/+490SHFNOmp+9/BtSItFrvyUNySOvbu5mSAPUNSf42a3L6e9Ze8OQrFjb0M2QBmiPZ/j+79+gobVvCuJ49IzWUFkc4JS5tTltcydXMao66g1yPDyOYmJph3+/Y3mXIQ3gKs1v7ltFSzwzgEfm4dEdz5juR0xT8vbu1agCMRGPb3gO5OD8+GvD4aEPnsrbZiuH9S2bkPnKNx4GKVvx+Gub87Ztq+ugI2nnbesr0q7i/uc35G1rj2eoa+69gYTHoWEA150zme998gROnDWcE2bUcMuNC/jMpTMwvSAPD4+jFssyeHnFzoIzrE+8saVLW97DY6Dxwjz6ESEETYmWgu2tqXZcXDiAoJcwBMmMIm27BHwGIcvoKvrSV7i4RP0RPjnrRvwigiHhvZZ3eGHby2Rcm5ZUG6JE0BshKkprUpnCuiYZ24Vg/z26WkNrLF2wvSOeYVhxwFPwGCBMYFRFmE9fPB1NVoPd80h79Cd7im0l0w6mKQlaBpLeD7U7lhCCHmf9mlpTPeZMeHj0J54x3Y84jmJ2zTQeW/9c3vZ5w2ZiaBO3B4PUFYIHnt/I469vwXEVQb/Jh0+bwJK5tRh92LEY2s9M/xn85a61tHbsRAiYP3UkXzjtc/z67d8yuXw8qheKqgBYhmR0TZQtu3OrQpmGoCjcv5UFLUMwa0I5b7xbl7d9RFXEM6QHGK01tt1XJYk8PAqjBazd0c5//20VTW0pAOZOruTmi2cSMITXNxwmjqNYMK2a59/anrf9hOk1npS/x6DBC/PoR7TWDAvXMLp4RE5bsT/KguFzcXsKCJaCu59Zx8OvbMLp9EQn0w63Pb6GV9/ZhWH0jaaulILt9XF++dd3aO1Id54LvPlePbf/fQc3zrqBMn9Zr3lhLAmfvGQm+SSCP3z6RIKHKx14mAituebsKVhm7u8umVtLWVGgX4/Hw8NjcCAENHVk+NGflnYZ0gBvf9DA9//wBrZnSB82SmnG1xYzvCKc01ZREmDWxIo+n5H18DhYPGO6n7EcP19Z9CkunXIuRf4oQSvA6WNP5LunfgW/G+px22RG8cyybXnb7n5mHck+ysxzNNz6+Jq8bRt3tFPjG4Vh9563WCnN8NIgP/uHk5gxvhy/z2BEVYSvXHMcZ84b2e8KDVpDUdDkXz9/MgumVxPwGVSVBrn5kplcd+4UIqH+9ZR7eHgMDrQQ3PX02rxtuxrjNLSm8joFPA4On4TvfGIhly4ZT1HYRzhoccGJY/jhpxYT6CPnkYfH4eCFefQzWoOR8XPOqDM4dfSJgMZHAJQk3TnK9psStd+I2zAkyna48UPTWbW+kW2721ly3AiKIn6213Xw/Fvbydguvv3kQExTYrkJBApHBsi4smt/aUehAZ8h0T2EaLhas60uN+RiDw0tKcrDvt6ND9SayqifL10xB0dppBD4DNHnngghBApwlMaQAlN06hUrTXHA4NMXz8B2NQIIWBLH6X/PiM8SSDsBApQVJpPxvDODFSkFjs4qEJhSIMGb9h9C2K5m8672gu3bG2LUlgW9e36YaA0WcMnJYzn3hNHA3u+jlxfhMZjwjOkBwnU0Jn6EEKSV5smlm3lueTY27IzjR3Lm8aPwiWwCi4Pg2eXbeeL1Ldiu4pMXz0DrWu57bh2NrUkmjCzhy9ccl6NRHZYpMuuX0/zmw6h0nOD44yg64VLaZQnLP6jn7y9spCORYc6kSq44fSIRv9Gtg5JS0JF22bSzjdrKCBt2tOU9l4qSYJ8k2midNVotAaBx3b7tPLUQ1LeluO2JNWzZ1c7wighXnzOZEeXhvclEWnceD/1uSEtDEnDbaXvtMey1r4AwCM06g/DM00jovrkHHodPLJlhc0Ocvz7xATsbY4weVsR150yhsjjg6eMOEUxDMKIq2i3EY1+GV4Q9Q7oXcB3V1e/u72jy8BgMCH2Uv+lNTbF+HaFWVkZpaCjspT1UbA3f/f0bXSXG91BbGeHbNy5ACPj5bW+xfnsrAItnDaO6LMzfnl/fbX0pBT/+zInUFPtRShOUaTqe/T3JtUu7redbfA137RjN8293L8Mc8Bn82xdOJrRPXHDcVnz1Vy9RFPJxzTlT+MVdb+cc/+iaKP/yseOP+lGZYUjW7Wznh39cmtP2uctnM39SBaqAMd/bz0Q+hICAitF013dx2xu7tVlVYyi77J9JqGCfHoPHwSMNwVvrm/jlXSty2v7lYwuYVFvkxXsOAYSAurY0X//NKzlt1WUhfvDJEzD3iUboj77C4+jCeyaOHqQUlJdH8rf187F47INhCNZsbckxpAF2NMTYvLudnY2JLkMa4JQ5I3jopVzNY6U0v39gNXbnwEKm2nIMaYQkVT0jx5AGSGVc7n12PULKzlUF9zy7jnTGpaE1ybptLdz4oelEQ1bXNnMnVfKNjx7f5TE4mkk5iv/5+zt52/748Huk7IEdc0rToGPd8hxDGsCu34zbuKXXdL49jpyUrfn9g+/mbfvfB94hNQDhQR69T7ZwkJ9/um4eJRF/1/JpY8v49k0Lsbx30sPjmOBodyge1UgpeXXVLgAiQYvp48oBWL2xiXjSZtPOduL7FShxXIWzj4e0rCjA5NGl2I7infWN2K7GsiSZ3d091wBGuJhNDYX1kt/6oJ6rz5qEJSDjalas3VuB8NFXNzNtbBk3XTQD05DUlIcojfiQfVC2fCBIZVwaWvJrmsaTNrGUTdk+A4n+RigbvXlZwfbkujfxV09HKU8ebjAQS9k57+4eGlqSpDIult8rODEUEBqmjy7hp/9wIomUg2VKQr49OtNDoHP08PA4IJ4xPYAIAWVFfj560XgqahxWNL2FAD5z4jzqdkmkK/BZ/m7b7JG/81sGN140HSkEK9Y2UBzx8Y9Xz8UwRDbJMVSc83vaTnfzLO9PUdjXlXkuRNbAb9+nZOt7m5p5b1MzAN/9xAmUh60hYUgDmIZECigUMeTLI4vXn2hhQKCoYLsRKR8y92Io0NPzIkU2Mdhj6OC6Gp8A355iUlp7EsgeHscQnjE9gGQyLheeWsud7/2Nu1fsjUd+ZdubLBg+j4unnkdrLNXNyGtuSzGsPMyVZ03isdc288GWvRUVn3lzG1ecOYmz54/ErBiFMH1oZ68xrNIJqv0pgn6TZNrJOZ5LlozHb0hcV+E3JJeeOp5f37sqZ71QwKS6LDSkjLeQz2DRzOG8smpnTtuU0aWE/CYDe8KCwOxzSK3Jjc0EQWjKCcQdzys9WAj5TaaOKeX9zbkVT0+YOYyQZfSooOPh4eHhcfTguUcGECGgJdPIsl25iX1Ldy6nOVPPK7te4ubLJ2N2eqTvf349n79yDm2xdDdDeg93P72WWNohKSNUXfFNhNW9oEi4dT3fvWkBQX/3cdRp80Ywe8JeEXzXVcyZWMmSubXd1gsFTL5z0wkEzaEVC6iV4obzpzB2eHfv77DyMF+4Yg7GAPuZXEchS4cROulaEPu8ttKk7MLP4/hyZyI8Bg4DzT9efRzDyrsXnBg7rIiPnjfVM6Q9PDw8hhCemsch0puZt5ZP8qd37+TVbfljYU8cdTwZN0MqY3Px+ItJtJtkHMXEkSX82+1vsXZrrjEN8LELpnHanOGgFUEVw2nZiUon8FWOwrYi2PhJOprdzQk64hlG10QJ+428IyuFIJ522LK7g2jYR01ZiKC5t0Tu0fT0CNFzaV8hwNaC1liaXU1xqkpClBf5sWTP2/VnNrYlXUyng3TdFqRh4q8ciW1GuvTDPQYPlZVRdtV30NSepr41wbDyMKURP6YYGnkGPbEnXGyon+eh4ik3HBghjq3nxnsmjh56UvPwwjwGmJ4j67Jt7zS8R8Qf4MaZ1+DYILTdo3GntUYIcFyIEUGUTUIIQUZpUNn9+iWMqQwhqsI9DkYkmqjfYNbYUrTWaMMlQZIdHbvwmwGqQxX43SCD2dGmhCCRcdlRHyMctKgqDRIwRM55aw0mmoqIj6oif1f7YBpv2srAliUYI8pQWhNXGrzojkGLKaC62M+w0kDn8zS0DWlLKvwqjtO0E1CYZbWkZRhbecmWHoURUpByFHXNSVIZhxFVUYKW9PTYPY4aPGN6AHFszaljFvHatuV52+cMm86f3r4HgNPGnohja0KqjdZn/sxZsy5k3bbWvNvNnVTVraCI1vkNwkLL86GURpk2T299kQfXPNk1CPCbfr666FPUBkagB6FR5wrBPc+u58k3tnQtCwctvn3TQqr3MZj3Z7BX1/I0io8uBvvz1Bv4hAPbV7Lr0d+C6szJkAZlZ9+Eb8wCMsr73HjkIqRgW2OCH/9pKalM9iMiBFy6ZALnLxqN9Axqj6MAb254ANFaMyxUw4LaOTlt84bPoiXZRjyTYMHw2dSEqvGTpvnh/0dyw3JmlKWYNDJX3eHDp04gEuh9L5CUgu3xHTyw5olu3vS0k+Znr/yGlMzVyh5oDEOyemNTN0MaslJ33/vd6yQdr5P28OgtLLuVpod/tdeQBlAuzY//L1aqaeAOzGNQk7QVP/jDG12GNGQdPfc/v57Nuzs8/XyPowLPVTDAGLaP62Z8hDPHncyzm15BCMGSMQtJOWne2LaCb578eWpC1Ri2D+k2k965FgDnyf/iH8/4LFsyE3hhTYyQT3LOotGUFYX6ZCSvpMtDa5/O2+Yoh/XNm5hZPHNQeeAyruJvz+cWuAFIpBx2NcUZWxUe0tPuHh79gWUZJFa+WLA9tuIpfCfegG17Myoee5FSsG5LC3aBIkZ/e349X75qLp457THY8YzpQYBh+xjhG8WNM0YDWeUGIyyZVjwVx9bozup72t4rc6ftNPbj/8nIogpurJ0Mjk1x+Brium9KSrs4tKcLJ0m0pNowyyWZzOCJ9VCabjrZexhZHeXy0ydSFPbTnnbxWwY+QyCGSAEaj8GHlAJbQaJTkjLkN7Bkbtz+0YoQArejsPfZjTUjtGdIe3RHCEFLe+FCYm3xDK7WnqHiMejxntFBgtYaO7P3w6oyuR8eEYwgfAF0JtW1zG1vJNneiFlSjTb89JWCmw8fc2qms719V972Kt9IVm9uYUJtEXKQ2Ac+QzJrYgUv7lM+/fip1Zw2fyR/fPjdroqHU8aUcv25U6koCeA7gOKHh8ehIqWgMZbhl3evYOvu7IB0VHWUL1w5h4qIb0gY1I7jEpy0kPh7+XTQITTpBFwt6cyA9vAAsrkfU8eUFWyfN6UKnyFRXo6IxyDHi5k+ikjLCCVLrs3bVnbWjaRlOG9bb+A6cMbYEwn7Qjltk8rGU78bfvqXZdS1pBBicEzKaaW4/PSJ+H3ZGHK/ZXDuotH8223LupUOX7O5hX+/4y027mzHHgKGjcfgImEr/uW/X+0ypAG21nXwL//9KvEhEvaglMasnoBVNiynzSyuxBo53Uua9chLWdTPrAnlOcvDQYtzFo72DGmPowJPZ/oQGWhNyIDMQONG2l66E7ulDl/1aEqWXIsTHkZG9+1Eg5SCpBHjgTVPsmznSgKmn5NqT2SEbzK/uO19bEcxfVwZX75y7qCRNBISOlKKu59eSyhoEk85vLIyt8ohwD98ZDa1lWGGlQQOKdxjoJ8Jj8FJZWWUlpY4Ty/fwV8eez/vOtefN4Wz5o3opr5ztCIEhEWc+IqniK16FoDI9FMIH3cecSLejA9eX1EIB8Erq3byyKubSKYcFs4YxodPm0DYkkNi5qYnvGfi6MHTmR4gDEOS6vxI+s3CU1XSkKRtBQICpuzRg5NSPmTFVEou/QZCuyhhkdS+w/pQCSHwiwxS22hhkCbQY8ellCZIhJMqzmaceTzpjOLVV5u4c/O7Xetsq4vhKI01OJzTaAURn+TGC6eScTU//tObBdfd2RgjHDCpLQviuod+Pf2Gi6HSaCQZGfI8cR4IIVi7LX9xJYC1W1s5e/7IfjyivkNriOkw1txLqJx9NgC2ESLmQJ/Fn3kMCUw0p8+t5cSZw9CAz5RoVw15Q9pj6OAZ032AEJDR8Mirm3lm2TbQcOq8EZx3wmh8+1TTk1KQdDQPvrCeV1btxDQk55wwmtOOG4HZw8dHKU0Sf/YP3fXfIWFJF198N60v/pX07o1YJVUUn3QFVE4gpXw9/rYpTH7z17V520dURTDlICxhpTR+UzKqJsrWuvxegGHlYUqihbWnC6Fdh4jbRNsLd5HavBojXEzRCZfgHzWbhAoceAceQxatNRNHlvL66t152yeOLBlyHlvbBZvOcDCn53U9PPbgugpzT+VMzxHhcZThxUz3ARkF3//9Uu57bj2tHWlaY2n+/sIGvv1/r2erEHaScjXf/O0rPPbaZtrjGZrbU/z1yQ/4+W3L+/QbJKXAbN3C7lu/RWrLanQ6QaZuMw33/Rxn3StYRs8f97KiACOq8k91XHvOlEH7UGlXcdmpE8gnW1oa9VMU9lFRfGghHkKA3bSD3X/6OokPlqLSCezmXTQ9+lvir92LX9q9dwIeRx2Oo1g0o6Yrbn9f/D6DxTOHDYkQDw8PD49jmcFq9xy1SClYv72NHQ2xnLa65gTvb27BMCSGIXlt9S5aOnJlgdZvb2VXY6LPEvkCJGl58nfk82i3vvBX/G7use+LJTTf+vgC5k6u7FpWEvHz1WvnUVMaHNSetpKQxbduXEhlyV4JwcmjS/nKtfMYO6wI6xCvuU+6ND1/B9rNNZpjK5/Gcnq+lh5Dn5Al+eGnFjOyOtq1bGR1lB9+ajEhy+uCPTw8PI52vDCPXsY0DV5bnV8+DuCVd3Zy3KQKHEex9N26guu9tbaeSSMn4rgKx1aAxjQNhNDYtj6gwSqlwDAl6Kxs1b6rCyeF3Zw/CU87GVSyA4J7P/ymKZEClBZd+/JL+NyHZ5FMu2QcRThgEjDFAWONTVN2DRJcV2GYAoHoP31qrRlfE+XHn15MR8pGCkHAZ2AZAqkPfF33x1RpUptXF2x3mnchKku7XX8pBYYhs+FAg0iX26NvUEpTGfXx7Y8v2Edn2sSSx0aZcQ8PD4/eQAi67CDH0YOq//SM6V5Ga015ceE42fLiAIKsQVUcKRybXBoN8PeXNrK9Icb1p42kxG0htvJpcDOEZpyGLBtJokCBFgfYuquDZ5dtI+A3OOv40VQU++maaJYmGGZW7y4Pwsoel5QQUu0k33+T5I41WNXjiExZTNIswnWzRU5CluzyrvVkSEspSNiKZe/u4t2NTYwZHuWEmVUsbXiV9kw7p41ZTKlVinD6/pF0XYUBlAT2+S2lDytFSiMwglEcO5W3XQYjXYa0ENkQoHWbW3h51U5KowHOPH4kxWFfn1St9Bg8KKUxgKh/z1uoUV50h4eHh8dBEZAZZKye+Kqn0ekUoRlLkBVjCtpB/Y1nTPcytu1y2nEjeeDFjXnbz14wGtt2EQIuOnlc3sQkKWBEdYQf/mEp158+EvXWA9StfqqrPf7+awRGz6T43M/mPEgO8Iu7V/Luxr3VyJ5dtp0PnTyWi08ciwRsM0xkxqlZ43w/fNVjUL4oEkEoXc/u22/ZWyRm7Zu0v/Y3qq/+NsnwyIMeFQohaE06/MtvXyGeyhrwb7y7m/ue3cCXbpjG/Ttv49lNr3DF9A9xSu2ifjGoe4u0DFG86GKanvhdTpsMFSEi5V3RNBkNP/jjUrbX7w39eOy1zdx8yQxOmFrlCR54eHh4eHjsh19mSL/9MO1vPNi1LP7B6/hHTKH0wi8SVwNvUHsBe31ANGjyhSvmYOyT6Sal4DOXzaI4ZAFZsYuqkgDXnTulW0KcZUo+8+HZPPbqZnymZOFoE3sfQ3oPqS3v4NatR+6zsWEI1mxp7WZI7+GhlzbRlsjG9WYcQXTRZfhrp3RbxyyupPyiL5HSAfykaHrsN92qLUI2DKTxoV8R0ImDvh4u8N9/W9VlSO/BcRV//NsGzh1zHgB3v/sQyUPY72DAdTXhKScQmnpit+UyGKHq8m+SFNlETcMQPLd8ezdDeg+/e2A1ScezpD08PDw8PPbHTLd1M6T3kN6+Bnv7exjGwJuyR48L8ChCaM2c8WX86iunsqMhhtKaEVVRgqbsJhknNZw2t5ZFM4axra4Dy5KEAhZ3PPEB72xoZNrYMoxtb1Eoqja24kki500j3RnA4Wp44o0tBY/rzffrOH/hKBxHEVMhij/0JWSyFad1N0akDCLlJEQYrTTSSZDZvSnvfpzWOoSTRJjBvMoXUopuXutUxmXN5vxau42tKSKytOvv9xvXs6Bi/gE1mrNh1/1b+rvQb5qRUsJLPkrRostwmnYgg1FkcRVJEem6DmlHZ2US86A0bNrRxowxpYMqBszDw6N32L9P7O31PTyGKqYpSa5ZXrA99vaTREfMxh1gc9YzpvsKDQFDMGFYNpFPa/JqLwutCZqCySOKsSzJ31/axDsbGg/6Z3xOB4YROGQ9YyGgQwVotUtpdoOUaj+lOoB1gO3MySejpp3Dit0SITsYURXJDhKAIAmIN+G0N2KWVEOolKTuXZ1lISHpaHY1xklnXEbVFBG0ZJ9WXDSkJqjjuC27UOkkVuVIbDNCWu29WinlA7McUVORNbYL3G8PD49jAyGylf1aYxl2N8WpKAkifSZC5HcCCAFBkYJEC05rHWZRBYTLSRIa1ApJHh4enjHd5xxsH6i1RjpJTphczL3PZZet39aKe+px8NZDebcJT15I/d0/QoaKKb/4yyRFmHMWjs4b5gGwYFpNl6ZtRsNP//wmm3a1d7XXVkb41scXEDBAWWF8NePI7N4b+23OuYC3rHn88Q9r2eM0MQ3Bl68+jvkjBI33/gS7ea+Sia9mHOWXfAXXF2HqmFLez+OdriwJElN7l0+tmFDYKy0FG3Z18PNbl5HpPA8h4PIzJnL28SORffC9MaTG37aZ3ff+DL1PkmF0/gUE519EUvm7rV/oo+c3JWceP4q/PvlBTpsUMLa22PNEeXgMITJa8K+3LWP99rauZcPKw9xy4wKCpsj5NoRFnKa//3v3Prd0GJWXf5O4iHpjc49jEsdRhMfPo+3FO/O2R447B0dYDHTS0cAHmngA2SQ90bqd0JZXOH/BMAAyjuKNLQ7WzLNz1g+Mmo6QEqetgcyu9bS/fCemcJkyupQZ48pz1r/45HEUhTrHTlLwp0fe72ZIA+xoiPHr+1aiEKTxU37eZxC+bGC/sPx0jDyR3z+xmX1tPsfV1Nc10vzIb7oZ0gCZ3Rtpe+F2QtLl05fNIhzoPnYzDcnHLxvP45sfA+DK6R8iKEIFr1Ey4/KTP7/ZZUhDdrBy99Pr2NlHutxBFaP+np90M6QBOpY9gq7vHrPeE66rOO24EYzMU+zmExfPIGgOkvrrHh4eR4wwBLc/saabIQ2wqynOL+5agUv3991vuLS9cHs3QxrAadlF8yO/xi8yfX7MHh6DFcdfTNHCi3OW+0dMxaqdekBJ3v7A80wPEnyGS8ebD2FveJsLFl3DiddP59l3O9jUaHPiKedQPfNE4qufQ2fSBMfPRdspGp/8Q9f28fdeoWjx5ZhE+cLls9nWEOPZ5dsI+CzOOn4k5UX+Ls9tMqN4o4AW9uoNTSQyLmFLkvBXUvOxn5Nc9yZaK/72TnvebWbX+kgvX5O3LbHmdYpOuoriQDH/9oWTWbamnnc3NjF2eBELZlaytOEVplZM4DPH30CpWVgazzAk73zQgFvAe/u3FzfwhQ/P7tXQCikF9q6NaCf/h6z99b9TdNGkg97fnmI363e08crKnZRE/ZwxPyuN57mdPDyGDsmM4uWV+bX8P9jaQjztEN2nKqbpxEmseT3v+ukdazDsGBhlfXKsHh6DnbTyEZh7AdWTFhBf9Qw6kyQ0/VRk+ahBoeQBnjE9KJBSoJWLm8gaq85rdxD1Bblq9HTwm6QfWEP6uLMpXvRhWp+/nZbn78CNt3bfiXLRrgMGmALG10SZdPEMBFm5vn1tNdtV9BRRIKQgoyCRdIj7IoSnnolpSFpXv51/fd1DyWytwHVQQuOXgiWzhnHqnOFoBUopzh9z5t6iLT3UUBeCvNUi99Aez+Aq1atTLUII3ERb3jbf2ONwZ19EfVwT0zFMKTmQcLDWYAmYPqqEWePKEHQWbfEMaQ8PACwDfG4MMgmwAjhmhLTb81ttGgK/ym4jDB+2FSbtDuynzXFVj2Fbtq1g3xLzysn2lQXQjg37rG4YgrSrSaQcpBQE/SaW8IoAeQxdUsoHwVr8J38c0GS8oi0e+yKkoL49zeOvbuIjI+bArg0A6EySxLplXev5R0xDIUhsWpEjVwdgllSjzUBX2JBSGlWgul7QZ1BeHKCpLXc/N5w3lWXv13HXU2tJprMd9Umzh3P9uVNYPHM4b69tyNmmw/FR7A+h07mydmZRJdoKdh2X43T/YKjMwb0MrquYOaGcu3KlsYFsPLhlyAOqgBwKrqsID5uYs9w66QbeSI7hrtu3kkxvRErBybOHc+05UzAPIm6rp3vj4XGsEpRpMu+9QN2r92fDqoQkPOMUik68klgB75NfZtBb3qb+uVtRyRggCE44jpIzbySuwwM2Tg1YBtVlIeqac/vEoN8kEuye6q3NIGZRJU57bv8q/SFEINzVhwop2N6U5Ff3rGB3U3b/Y4cX8cUr51ISNAeVgeHh0dsM1qrBXsz0AJPIKG75n9d49q0dpEYcjwwV5azjr50MxdWkZITS067Pu5+ys24iLcMH9ZsBU/LJi2fkLJ8wooRQ0OJPD79HsrPssVKaF9/ewX//7R1mT6qgsjT3o/biB3FKT78h72+VnnXjQR9XT2R1uYNMHZM71Vkc8XHKnNpeNaT3oEJlBMfN7frbN2wC77jj+NNTm7tdoxfe3sHvHlyN7oO4bQ+PoY5pCuwNS2l94Y69+QlaEX/nedqe+xN+mTttJaVANG6k6dHfdhrSAJrk+uU0PfAfWWWMAcJfoI8F+OgF0whY3fuJtAxTevZNedcvPf0G0nJvrkUs7fKd/3uty5AG2LSznX/571dJOl5ZTQ+PgUDoo1xzp6kp1q8j8crKKA0NHb2yL9M0ePzNrdzxRFbhoao0yLcuH4e15imcDW8gLD/R484hOOWkLs+MX2aQTZtpfelOnNY6fFWjKVlyDXa4how6+IkGLaCuJcVtT6xhy+4OaivCfPYjs/n+79+guT3/R+iXXz4VnyV57LXNvPDWDqQUnL1wFKfPG0lEZhAtW2h78a/YLbvxVY2m+JSrccLDyOjemwBxELy8aiePvbqZtO2yeOYwLjplHCFT9tlzEDZSpNe9Qcebj8Di6/nWg+0FQ05+9ZVTCVveGNWjd/uKoU5YxKm/9RuoRL68DMGwT/wHsX306AGCIk3L/T/Cbtiad581H/sZcV91HxztwaGFoKEt28du2tnOsPIw1583hdqKMDLPZ9cnHMz4Ltpe/CuZ+i2YpTWUnHwVqnQMaZ31ZBum5J7nN/Dwy/lrAHz+8tnMn1QxKBKyPA4Or584epBSUF6eKyIAXpjHgCGlwNaaMcOK+MjpE9nV1MGMyVE+6HBIFp9KxQknEw37KRtXSyzldm2T1H7ckkkELv4WIZHBxSChfehDNCSFhmGlQb581RxcNxuDl3FUlyE9eVQpJ80ZTsBnsmZLCy+9vZ1EKk150OKyU8Zx/qIxAAQsgVaQMEBXjiJ66dcwXYUrLJLa1+v6qCaaM46r5cSZWcUTvylRB4hPPFLibgBj4qmUTVhIi+2jpeP5wusmbcKWv2D74WIYklSn18lnCnQ/fiwtEyw36wWzZRDbPTjvu2FI/CoOaFwZOGDsq0fvIAT4pIOpMigkGRnqk1mbXsW1CxjSABqVTkCwuzEtcbGb8if5AbixFkR59YCFegitqS4O8KUr5uC4GsMQVFdEChpOGW1ih0cRPf9LSGWjpEkaf7e+zVWajTvy53EAbNjRxoIpVbju4JwK9zi2kFLgI42hHZTIfZ6HEp4xPQAoYNPuDm5/4gOa25J86YZpWB3reGDL/Tiuw3E1sxlZcxI7dsHozjLTWsCO5iS3Pvo+W+o6qCkPce05UxhTHUQepr6i1hoJSAlojSEFVaVBrjlnCrsa4zz44kbiKZvZEyv5xscWENVx4o/fRvGSqxGBShwlsbHZmd7JnasfZGdHHSOKarhq+sUMCwxD9NFL4zqKPbOkqp+MBKWhPmWxuylOWVGgoPc+HDxQ2ZtDx0Hw1JvbePy1zWQcxeKZw7js1AkEzb6tkiZE1mMYX/4kre88B1oRnr6EyLzziBPtcaAUlinSH7xG47JHUOkEwfFzKV78ERJm6YHyND2OAFMq/KkG2l74K6kdazAjpRQt+jD+kTNJqN4f5PUW2vBhhItx4/kMRYH054aKKWHgq6glU5+/6qsRKRvw3F6tNQKwOvvYg1k/pS3Ayn4o9uvbDSGYMKKY9zY1591+wogSlPeCeQwCfNLBbNtG6wt3kGnYhlU2jJJTrkaVje2aaRlKeGEeh8iRTslIQ/DmBw38+t5VAPzD1ZN5uvFetrbt6LZecaCI7yz5Mn47hGFIPtjRxo//9GbO/j596UxOmFaF6gVPpWlKdjYn+etTa1m5rnsiTNBv8vObj0P99R9BK2qu+yGp6AhWtbzDb978c86+Pr/g40wvnjZkphs7Mi5f/eVLjK4p4sTZw/nzI+/lrLNweg03XzS9V6sxOsC/3vYW67a3dlteHPHx08+ehL8Pnb1hEafpnh/m6IebxZVUXvVdYjp/LHxQpul48r9Jbuyu/iJ8AWo++lNioqSvDnlQ0d/Tt0IIQsmd7L7tW6C6eyaLjr8Qa/4lZAZY5aIQhiGQG1+m+Yn/y2kLTVlE6LSbchQ6pBT4m9ZQf89PcrbxD59A8UVfyymqNND0xjMRtxVf+q8XcfZzJERDFj//3Ml92id49D5DMczDMATmrlU0/v3fc9rKz/sMasxCnKNw8qSnMA/vtetnUrbmTw9nDbHiiA8zHMsxpAHaUu0s27mia3r///6+Ou/+/vzo+6Ts3jHeHEdhGDLHkAZIph0eenUrvkkngFa0PPMnbBHj1pX35t3XX1beS1ome+W4BhwpuOOJD7AdxfrtraQzDlefPbmrCI0hBWfMH8knetmQFgJ2NSVyDGmAtliGl1fuwDD65hWWUuDsXp9jSAPZQkHbVhf8bZlsyTGkAXQmRcebD+MzhsYAa7DhF2lanv1zjiEN0L7sUXxOfACO6uBwXY05dj6lp9+A8HcWbpImkdlnUnzaDXml7pTSqPJxlF/4ub2J20ISmrSQsou+REoPLkO6t4j4Db5/8yKGV+wdzE4cUcIPP72YkOUlQHsMPH4Vp+XpP+Rta3nuL53hf0OLwemmGMLEUw7xVDYzfVR1ERva1xdcd/mudzhx+ELSNjS05jdMk2mHWNKmLHzk0yaGIdiwo7Vg+9sb27j41Mmw5mXSO9eScZJ0ZPK/FG3pDpJOkiiBIzomyzLQgFZ6wOI+bVfzzobGrr/vfGotsyZWcPOlszCkYHhlmLKwr9dDTgzDYNW6xoLtS9+r4/TjRtAXn0/TNEiuW1qwPbH2DUJjFrK/2WYYgszuDQW3S21aSWjhh4H+Edo3TQOJi8LAORpdIfthWRKBxlUi530wtE16e/7iSWiFirdApLgfjvLwSCo/5pTTqZ64ADIpMH04ZpRYDzH6aWVhjDyequunQiYJpoVjhokdggfeNCVSaDQS2x78z4hWmuGlAb73iRNIpB2EgJDfxIAhMxM4FLAsA4FCaZEjCTvUEXYSN9aSt02l4uhUDPKEbh3NeMZ0P+PbR+khkbaJWrlSeHsoCRRhYGAa2XjmQtX/fL2kHqEUlEQKe3OKw35EuhXIap+aRmEDXiCwDKvHQiw9oYWgPWnz5AsbaWxNsmB6DTPHlxMw+jZOOB9CQFHYRyK192RWrWvsMnR//NkTUYHe7yy11pSXFB6MlET92YI/ffAB1VpjRCsKthuRcrSQdAZ2dqEUWOGSwtuFitDC2D8UtNcxJATdNhLvvEpq1zp8wyYRmbKIpFHMYM/Fy4dPOliZVuJvPYPbWk9g/HEEx8wmIaL7vA8CGYigUrG8+xDWkQ1s+wPHAYcIWJ1TqQdh27quJk4YrPBBbwPZ2ZeQaie1djnJze9glA0nMvM00lYJthrck7ZKaQwg6u+s5KJ1X79SHgeJJRV+u5XYiudwm3fiHzOTyPj5+72rQxzDBCELFiISlq+fD6jvGdw9xhAk5DOYNSFrpGzY3sb82hlIkf82nDfxNJQDQZ/kpDnD864zbUwZIX/vjIm01oyuieLftzLXPly6sAL9/nMAROdfQFCGmVMzLe+6xw2bQUAcpvdRCFZtbOJL//Uij722mTffr+PX967klv95jdQAeF78huSyUyfkbSsK+6gpC/XJ77quYvaESqTM75m7+JTxB6y6eLjYtkto+ilQwO8dmXNmtorbfmitMStGIwoomhSdcCkZ+nb6XUpBILGT3X/8Gm0v3UVy/Vu0vXQnu//4NQLJXQWv52DFlAqx+z12/+FrdCx7jMT65TQ/8X/U334LIbU3YS8twxQtuDD/Pooq0YHCA/djDSEg5LZQd+s3aXn6TyTWL6dj6UPs+sNXMZvWYRxlz4jH4MCQArNpHbv+8FU6lj5EYv1yWp7+E3V/+QYht4VjpQyBY0YITV6Qty0wegaulT/u+GjGM6b7GYnms5fNYmR1lKKwj450gk/Ouzrrxd2zjpBcOvVc/EZ29KZdzbVnT2HyqO7SUCOqInz+ijkYveiTCJiS7950AqFAdwP9woXDGau24LTVE5xwPMGZp6MyBh+bcyWji0d0W3dMyUhumH052PmN8gORdlVXgua+NLQmeeDFjcg+ihMuhOsq5k6s5PT53c+zKOzj2zctpKKk70IWgpbkmx89Hr+191pKAdefN4WakkCfqhXYvhIqPvT5rJeh68cNys/9FHagvOB2SRmh6opv7Y197SR6/AWI6ol97p0JkKTpkV+jnUy35drJ0PTIb/DroyuWP6DiND3ya/Z357uxFtpfvQ+fkR3UOK4mMO1UghO7f8SMSCmVl3+dlBha06pHgk84tD73F1Ryv8QvrWh8+FcEdH7vvodHTwR0B40P/SrHI6uSHbQ+dys+cZhTtUcZadeg+NTr8Q0b3225VTGSsnM/TVp5ah6DjoFU85BSoLXu0aCRMjcsQQhwtMBWLveuv5vWdAfnTTyVpJ3CVg6lgSJe3roMKSQfnXpVVxyfi6A9kaG+JUlZcYCyiB9TcMhazkJkM/8LXTcpBSlH09CaJJF2GFkZIqJjGK3bMEtrUL4iksq391zMDG12G82JVspDpRRbRRiO77ANva2NCb77u9fztgX9Jv/1j6eQL8/mYO7HkaCEIJF22dkYIxLyUVEcIGBks3v7MhtbCEHKVexuTmLbLrVVEQKmzJvseKB7e6hYUuFXcZyWXaAVZlktaRnCVj0PlAwJAR1DtTWgMwnMslpsM5y3E+3tYw47Tez+w1cKttfc+B/EzdxKmr1Nb2Xph+Jbqbv92/kbpUnNJ39BfB9llaDMIDMdOC27MUJRRKSCpAgfO1PMB0GYGLv/9/MUijequeEnxAPDev13h6JyQyH6uj8ejISSO6m79ZsFWgU1N/+KON29skP1mRACgiKFSLbhtDdgRMshVEJSB4/aZ8Ir2tLLKCHoSNpsreugOOynpjzULZZ3j7HcEkuzqzFORWmQiuIA/k7DWmsw0AQCJkJI3m9Yx/sN6wiYfgxhELezBTJOHr0Q0TkvpIUglXHZ3RQn6DeJhiyMQzSkDakJqhhO8y5UOo5VOQrXKiK1n4GjlMYnobYsiBBZeVSHYtyqYtKabmGyWoNh+yijkvJwVfZ47CMLie1pKixfmyJbln3zrjZCAYvayjABUx5yIZsDIbUm4pNMri3q6gz6w0DRWuOXgtEVoa77sX9vJKUg5Wp2NyZoi6UZVR0lGrLyVlo7FGwlsYkiyqIApPa7/4VwFdmPRlEEIfJvt+eY65uTtLSnGFEdpSiYTaTy2IceX4iu/7pIKh+Y5Yiq8s5nhYPSOD7m6HqZPHoTv7SxnBiZ3VuQvgBmWS0pGcFRQz/GoccwjmMlxqMTrSGhA+APIKo6iycdhfkqB4tnTB8ize0pfvfQu7y+enfXskjQ4rufPIGKiA+lNBkNP791GRv2qVRVXRbi2zctJGTKLgPYsRWnjz2RV7ctAyDldC9RfdqYxdi2gwKefHMrdz+9rqvNNCRfvfY4JtUWHZTlahgaf9sWdt/zE7S993cis88kvOjyggUd9v3WHOi701uTHFWlIXymJJMnA/r0eSMJmLJLycAVgvufX89jr+0t3OC3DL75seMZVRnudYMaBvb7m++3pRQ0xjJ873ev05Gwu5YvmFbNJy+egdELB3wkuyh0zK1Jh+/832u0xfaGY8yeWMHnPjL7iI5Z+SJYFSOwG7fntPmqRqN84aOqU5fhUoQVQNu5hYLC00/BloG8SXeenVgYxwgQnDiP5Npc7X4ZjEKwuM+TZIciQZkm9dYjNC59sGuZMCwqL/sqlE/EGeSJnUdMsBgZjOaGDwGhifNxjPzv6lDnWOiLhviT3bsYhuSFt7Z3M6QBYkmb7//+DVKuRkjB7U980M2QBqhrTvCff32723ukNVQHK1k8cn7Ob500agEVgXJAsKs52c2QBnBcxc9vXUYiTxJYPoJujPq7f9zNkAaIrXwad9f7gyopK2AIPn/FnJyBfHVZiA+dNLbLkJZSsH57WzdDGiBtu/zwj0tJHuS1OdpJuZof/mFpN0MastJ5L6/ciWEOvtc87Wp+9Kel3QxpgJXrGnnyja1HFBefJkD5BZ/LUa8QvgBl53+W9BHKNfY3KRHOxq7vl6hsRMspXnQZGa9M+yGTdk1KllyHEd5PKlAaVFz0RVKyb5KKhzJSCnTTFtr3MaQBtGtTf9/PCaihH4eekmEqLvoiyO7za0a4mOIl15JRnv9yqOLd2UMg5Sj+/kJ+Dd32eIbm9jQlER+vrNyZd53121uJpRyK/Pskk9k+rp52CWeMO4kXN78GCJaMWURloAJpWwhD8MBLG/PuT2lYsbaRk2fW9KjBLITArt+Sk5DVdexvPEDJJdNIMjjkarTWTB9dwn/94xKef3sH9c1xFk6vYfKoUnydcXgAjob7n8+v0207io0725gxunTIx4q2dqRpjaXztj3w0kYWzxyWN8Z8IOlI2DS05E8EfOTVTZx5/MjDPmalNKlgDTUf/znJdcuwd67FVzuZwIR5JI2iXqkW2p84SiCqpjDsxn8j8d5LOC27CUyYh692KnEROTbcPn1Awiih6rofkd66mvSmlZjlIwhNXUzKLME9Br2HR4olbDreeDB/o3JJb3sfY8wJQ1oL23XBLh2ffVfffxWnaTv+sbPxj5pBQkT7ZKbUY3DgGdOHSEciv0EKkEjZRENmQT1oyEqO4e8+apW2j2HmcK6bekXXOtrOjvSFtmmPF/7Nlo5UV1x1IYQAlWwv2K4SMdAH9/UwDIlfxRGZGAiJ8kVIE+h9g1VnNVQvO3ksQggcx+2MN9/7O67SxPbzxu5LayzTeW2GdgeWSBfOEI/18LwOJOkeimMkUg5KU0iV76BwFcQowpx6JoHpZ6OUIuaoo3aK1VYGtlGGddxlmELgui4xV3uG9BGglCZGBGPMYgLjT0JrTcx2+ywEyDTAbq0nnOlAWP5sQu4gLe9+OAjtolKFE+nceCvyGOiPHSWIyVKsORd1vquKmKu8d3WIM2je5J/97Ge0tLTw05/+dKAPpSCWIZgzsZI336/LaRMCasqzsb415SF2NyVy1skmDub3/moNmczeL72UglCmnvalj7Bgwoms3Zq/mtDcSZW4B3CjKKUJ1uTXSQYIjD8O1wgcsMCKKRW+ts00PfJrnLZsyXGrchQVF36ehL+qTzzAPVUk85uC+VOreOjlTXnbp4wqHbCqif1JVWmwYC7V7ImVWIbITmMMIvYUnMn3zEwbW5Y95l74+GQrjw2dZ+BoqNB3tOG6qs/7iaDMYK97je0v3onOJAFBaNLxFJ/+MWJqaISUODJAcMJ8MvVb8rYHRk0neQz0x3vw3tVji0ERbPfaa6/xt7/9baAP44AIrbnhgmlYeWJQz188lqBl4DcEn7pkZt7E3Y9dMI3AQc5dh1Q7dXd8l/jq51k0zk9pNDdBcMroUqpLQwdlc6hAMcFJC3PPyR8ievwFZJwDH1fAbqXuzh90GdIAdsNW6u74DiFV2PPdVyhXc96iMYSDuXJr86dWURwZHGErfU3QMrjgxLE5yy1Tcv15U/NK6A00QUvykdNzB3iGFNx44XRP0cNjyGAYErVjNS1P/7HTkAbQJNYupeXR/0dQDs7Zo0PFcTShGaciQ7nFgQKjZ0Kk0nPOegxZBlxnurW1lZtvvpnzzz+fNWvWHLJnur91pkvLwmzb3cHdz6xl1fpGSqJ+PnzqBKaNLetSINBC0NSR5vYnPmDTzjZqysNcffYkRlaED2r0YhgCY8tSmh79dfbvaDni7K/w2Kp2Xn6vCb9lcO6i0Zw4czjmIUyZhWWKzKbldLz5MG4qTnDCfIoWXkzCKDngNbRMgf36HXS89UTe9vLzP4s7emG/x8NJKYjbigde3MDSd+sIBkwuOnkc86dU9YqKxcEwGHRClRC8t7mF+55bR0tHmpnjK7jizIkUBcxBG6enhGDt9lbueWYdTW0ppo4p5aqzJlMSsgbtMR8Kg+G58Bh4QiJJ053f7uaE2JeaG/+duFm4CNLRRLZEexsdbz5Ccu3rCCtAdN55+CcuJK76rrjV0YzXTxw99KQzPeDG9Be+8AWuvvpqdu3axdKlSwd1mMe+JNMOiZSNYUhKIvll5eLJDKm0i88yiIYPzUva+N6bGMEopiFQTVtpX/oIsnQ47sh5GIEQ1dPmYPoP3DnZrk17OgYISvxRDMPAibWCdpGBKNI6uONy0wl23/kj0tvX5G2PzjuXynM/CWTlA12lCftNQnm8xn1BxnbpSGSQQlBa1F2tQWuFG2sFrZCBCNJ3dKk5HAptsTS2o4gELQK9VGb+YEllHGIJGyGgNBo4aIWYtlgax1GEAibBQO8/LyqdRKXj2Qx7MwDpOBgGZqT0wBsXQLsObjyr2CNDRUhz73HHkxkSaRdT5j6LHscedms92379mYLtw67/AcFR0w5r306sFZSD8AUxAoOnwqVy7Kw8nBAY4ZID5vV4eBztDGjM9D333MOwYcNYtGgR999//2HtYyArIEI2GrMh2fM0Xcp2SCXyqy3sjxAC28lgmAFSL96GvXsDZlEFRYsuRcWaaXn2NwTnX0BszAzs9sKjWSkFKSPOI+ue5pVtyzCEwWljFnPmuJOx7ABaG5BKAwd3XJYJvmHjCxrTVmkNDbvreXNDjPueW09bLMOM8eVcd+6UfvU0KqChYW9SYsRIknzvJTqWP4pKpwhOmEfxSZd3euN75zcHo2ehw3boryMSUhBPu9z19FrefL+OoN/kghPHsmRu7SHNDsRsh1hHrpby4WJITdBupvXFO0ltXoUMRCiaexZGUTmtr9xP0QkXY42eW1BjPR9CCMLEiC9/lNjqFwBNePopROdfSExGaepIc+tja1izuZnSIj8fOX0is8dXYAzxpCuPwoQEmCXVOK25uTYA+MKH3H+EZBpn2yraXr0Pt6MZ/4jJlCy5lkywCnvQaDl3DjCTQ18S70gYjN8Pj/wMWs/0xz/+cRoaGjAMg7a2NhKJBJdccgnf/Gahcpy5DLQx3ZsIAbGMwmpaT/rBn7B/1nPxoktw2hopWvxhYrJnr5ptJfnei/9BS7K73vWI6DC+tvgzmPahe8wiqoVdf/wauN0zFWUwStFHbuEvLzbwzNvdPximIfj5506mNGT2e7xcSKZoe/RXpLa+22258AWp+ehPiYniAlseGsd6Z5h0NV/71UskUt2fi5njy/nC5XMGzJCMuM3s/vPXcyQhQxPm4aseQ+sr9xGZezaBhZfnLXOej7CI03jX93MMI7OokpIrvs31/7Yspz/60EljueSUcYghELricegYhsTctYLGv/9HTltg7GyKzvmHbNXKg8RnONjL/k77mw93bxCSmut+QDI8YsjLgQ4ljvXvx9FET8b0gA5h//jHP/Lwww/zwAMP8IUvfIHTTz/9kAzpoYYSgobddajXbiOffFDbGw9TsvhSUmbPhrRpSlbUrc4xpAG2d+xia/uOwyrSkjJLqLn6u1jltV3L/MMnUvmhz9GWJMeQBnBczW2Pr0ENxDRfvCnHkAbQmSSxtx7HMrwPzpFiGJJHX92UY0gDvLOhieaOg5v56G38hqLt1Xvzaqsn1i/HP2w8CEns7aewnPhB7VNKgb1zbV4Po9PeQGzjO9RW5na0j7yyiVTGy+w/VnFdhaiZQvl5n85WVwSQBuEZp1B67qcPyZAG8Dlx2pc9mtugFS3P/Bn/Qc42enh49B6DRhrvWEZKgWFINIrhZUGcRK4RDIBycNJJnAMMgZRwWbZzVcH2t3e/w5TJk7pJ8R0MjhKoyEiqPvxP2PWbwTDRTobEplW0VJ1UcLt3NjTiuLpfC4cYhiSzY23B9tSmFYQXXIK0/LhadkqoeRwqaUfx9gf5E6sAPtjaQs2sYf0mUWhZEonCdFOktqwuuJ7dshsjUoLb0Yzb0QjFJQfct2lKUuuWFmyX295i/PAz2FbX3cukNDR3pKkt9RKwjlVSyoc5dhG14+dgx2Ng+nDMCLHDqF6p4q2g879P6Z1rkToDg6QA1/7seT+9PtdjqDFojOnLLruMyy67bKAPo99xAJFox27eil77AhIoPfU6VCpG87O35nSa0jxwJymRlAVLCraXh8oOexpQKY2rIdOwFau8lsS6ZWg7zbiaOr511ST+7f4NOV64koj/SOpvHBZaa8xoWcF2GSpC1W8g/vaT+KrHEpmxhJRRjKO8RJlDwTAEJVE/Oxvze3fLivz0RySZJV38mVZibz2D07KL4gUfwggVoxL5JRuNYASVycZnC//B6fxqDbKoomC7CpXR0ZZ/gBrwDZqu1mOAcByNVVlJa6YzxO4wJyuEVThETwbCDBLF225YUuHPtBB7+1mc5p34R88kMuF4kkbRkK6I6HHs4PXwA4iDYNuWHQxbey/2pre6lifXLiU44TjKTrs2a1B3YlWMRBhmwWIXXfu1NWePX8KLW97IaRNCML1qEhkyyMO9/aYfN9lB64O/7FqUWL+c4dXj+cblN/Gd27snKV5y6nj8pujXTlMpjVU9DmH68k71R2edRtOTv8PtaCa5cQXtSx+m6qpb0EWjvc79EDCAy06dwHubcj22fstgfO2BZReP+BgMMBrWsuu+f+0afDqt9UTnnkXz03/KWV8GwmBY6HQCI1qGCJYcVFE223YJz1hCx9KHybdBYPpprHzxg5zlVaVBikL9o2rjMfTRwaKCCY3R4y8kLcMwiPowQwrMxrXsuu/nXe9ncsPbtL92P9XX/oC4UerpT3sc9Qy+IewxgmHI7BS4bO5mSO8huf4tjHAxMpiNwTSLqyg/43oaH/kNAZ1bXXF/Sq1SPjrnIxhi7y22DIubjruKhz54irg6goSHVAcdbz2Zs9iu20BVcgOja6Jdy06bN4IFU6sHxEBNyghVV/7Lfp5HQdHx53dO7zd3LdWuTdMjv8avDnxtPfailGZ0dYSPnDahW6GiUMDk2zctJGD2vac/oOI0PfSrbrM4dtMOACKzT++2rgxGqbzwH2h99X6MSClVl3+TpDh4STHbV0rFRZ9HGPsYx4ZJ+QWfRRZXsWB6dbf1y4sDfOvjC/Ab3oyHR++QIkTlh/8ZI9pdmzo4aSHB6afhDCJDGiCgO2h8+Fc5s6wqGaP1ub/gkwcovevhcRQw4DrTR8rRquahpeCZZVs5w32Z+DvP5fWehqefRGTGEnQmiUrGaHn5HtxYCzUf/zfiVuHpZgBtOjy2+WmmVE4glo4jpSRg+nly/Yu8W7+Wq2dczKnDTz6ouDUhsh5tpTSmKdHvPkHrC7fnXdc/fALy7K+wucmhpiJMyGcgB/ARMyQEdAzd3oiyU/hKqmhb+hCxVc/lXb/m4/9K3Ko8pN/wsrGzhYpStmJnY4yA36SyOIjfLBja2auEkjupuzV/4nLRvHOIzD0Hu6UOIxDCCBdjt7cgTBMRLicpwofcf1hS4Vdx3LY60BqjpIa0DGMriRKCeNqhrilBSdRPcdiH3+h5Jsnj2KG3+gopBUEdR8ebUYl2jNJqXCtK6hCTGfuDcGonu/9SSFhAUHPzL4kTLdA+9PG+H0cPPal5eGEeA4AQAlvBuNpSVjSfRM05p1Ca2Y370h9Qqe6xp7F3XiC+5nVQ+4zeD9LJ9UHjRh5Z+ywBMxu3mnb3GuyGNA44tWZITUDFcBu3o9IJrKoxaKuEdE9KIEISCZhMHB7M7n+Ax2qugjgRiEYQAgynpaAhncXzIB4OQmuCpmDCsGjXLe8PQxrosSBE+1tPEZr3IdIVU7uOSxSXdD6bHNbzaSuJTRSK9zEAOs9Vak3UZ1A0PEpFRfYj6RnSHr2NUpo4IQiFEOHOx3jQ5vP19L0QPbd7eBwleMZ0PyMEJB3F937/BnXNe0MKRlVH+PpF30A/+AO0nZU2Co0/jqYnftfNkLbKa9G+yAE7TlP7OGv8Kaxv3kzKyZVKmlk9tUeFBUNq/K2bqLv3p9285uHZZ1A8/zxan7st73aRuedgC9+gLAetNSgrjG/YBDK71ue0W2XD0f4DX1uPwgzI2ClYhAxGsxXX9iM0aQGOEUTvk+zVH8d4dM/3eRxNDPpnLViUTfjOkwwcmjgfxwgedjKmh8dgwYuZ7mdcBP/vnpXdDGmArXUx/vRyC9aMMwGIzFiC09GMSu9dT1gByi/8HCkOLLHluoqpZROZVjkxp+3y6RcSPkCcaFDFqN/PkAaIr3wGNxWn+KQrcrYJjJqONWLaoE7gS2l/Vu91PwWH7LX9/EFdW4/BRUqGqbj4H0F29w0YkRKKl1xD2jUG5sA8PDyy7+dF/1jg/bzWez89hgRezPQhcqTxTbGMyxf+44W8bVLArz49i3IrgVAuQkrSuzeS3rkB37AJBMYfR1IWcSiSva6VYVdiN69sfZOQFeTk0QspNooRTuFJCSkF1u5VNP793/O2+2rGUnbpP0GijfjqF1DpBOHpJyNKaknowW+MSikI6XbSm1aS3r4GX814AhPmHfK13YMX8zbwmFIRcNtJrHkdp2k7gbGz8Y2YSkJEByzMwnsuPPbnWH0m9ryfyQ9ex27cTmDMbHwjp5EQkWM+DOpYfSaORryY6QHCZ2gsN4ZOJ5C+ALYZoaUHr63SYAdKSYaqcDU4rsI3cRzBaWfjOi4xRx1yCIJh+xjpG831U8eidVbei86oEcMQBFQc0rGs5J7lw0mnkKaJCoa7ycrJQBhj7ofIVE0npiWG48cfGo51wjUIASlb5egJSykIkESkYwBoX5iUCOV0nlIK/CSRmRgojfaHSctIrxb6sAyNb8+9sPzYVgQ1/hQCk05FKXVY17YQ2fNJdZ6PC/4IKRke1B77QggBfmFjODG0nUEEIqRlZNApBjhKEhMlmDPPJyAlrquIuerQ5sCFIGG7pDMuoYBJ0JKoQXaeHh6wT9/ah31mb9L1fs44gvfTw2MQ4xnTfURIpki+/TjNbz6Cdm0QkvD0kyha9DGiIYuOhJ2zTWVpENtR3PbkWp5fvg1XaUxDcPbC0Vy6ZDyHOxmmtc6pduiTDrLuAxqe+F/ceLbioq9mHKWnXEnDE7/HqhhJ1SVfov6BXyB9fjj3n/l/T9Xx3iPrAIgEN3LTRdOZNa4Mkac/NCQE4jtofPhXOC27ADBLqim/8POko7W4bjbpREpBKF1H40O/xG7cnt02Wk75Bf+AXTK2V4qoBGWazPsvUvfKfWg7BQiCE+dTcsbHiWUOrmDHwWIYgmCmkaaHfkmmfkt2WaSU8vM+jVM+AVsdPVOaQkCEGM2P/ZbUlmxZdukPUXra9fjHzCM9CJUDsuo0h25QOAj+8NC7vPHubrSGgM/g8jMmcsrsWoyDEaH28OgnpIRgqo6mh/fpM4sqKD//s73WZ/YVh/t+engMdryY6T7AMiH93gu0v/73rCENoBXx1S9ivvcYn7h4Rt7tbjhvKsvW1PHMm1txO723jqt59NXNPPTyJqTsndslBFjJBhru/7cuQxogs3sjjY/8ltIlV5HcsJzW1/9OyaJLkCd9nB/ev5X3Nrd0rRtL2vzirhXsbE7mVVMIqjbq/vrdLkMawGmto/6v3yPo7E1ECal2dt/x3a6PAoDb0UT93T8iYLdwpJimxN26gtbnb+80pAE0yXVv0vLYbwjKXEnCIyGoOqi747tdhjSAG2uh/t6f4U8397Dl4CNIkob7ftZlSAOodIKmx/8H2bQZ2ZOqy1GEEoJf37uS11fv7nKUpTIutz62hpXrGzFNr5v0GDyEdIy6v+7XZ7Y39lqf6eHhceh4X4k+wOfEaHvjgbxt7a/ex3Gjg/zwU4uYNraMkoifWRMq+Ocb5lNWFOC+Z9fl3e6x1zaTsHsn5dknFe2v/Y18VdzceCvaTmGEi0lv/wDf6Bm0+GrY3ZS/mMkdT6zJScQ2TUly7dK82tnatUm89zKWZWAYkvS299DpPPtWLrG3n8A6wqIfPjdO60t35W1LbVmNYfderJqUArtuY15VCbSi/c2HOKqqSidbsRu35W1qffGv+EnlbTvaiKccVq5vzNt2x5MfkLQ9T5rH4MAwJOmtqwv3mSueOuI+08PD49DxjOm+wLXzd3YAWmGlWqgtC/GPV83lijMnMW9KFWURH5VFFj+5eT5nzBvWzetXGvVz6ZIJaLLhzoZxZLdNqExXhbh8OIkYgYu/iW/WOcRSih2xwqEJOxriObHAUgrsXRsKbmPXbUSguozPgus1bEXqI6uOJbTTrdLh/qjUgSseGoYgJJKERQK/dCgkayylwG7YWnA/dsM2pOpdT3hfIUR2hqAQdvOuI743g4VEqvB5NLenumaJPIYeQggCMkNYJAiK1BH3rYWwTAiJBE57Iz6j58GZYUiCIkVYxAnITLdvgZSCzO5NBbe167cgdW4IocfBYXb19XH8hluwr/fw2J+jyU929GD4kMEIKhnLbRMS6Q+htUYKQXVZiLqmGP96x1u0dmSYMa6U688cw2WLhvEvf3qXGRPKWTRjGA+8uJH7n19HVWmIq86ezLTRpYddWVBLP77qsQUN6nh4OLf8ZQOTR8/m6tAwiiOFPZBjhhVhGqJbIolSGt/IKcQ/eD3vNr7aySgtUErhGz4J3noi/3rDJqDEkcUYa2FiFlfitDXkbZeB/Jm5ewjLFOn1S2l8/QHcRBuBUdMpOfVa0v4KHNX9w6uUxlc9ruC+fDXjUNJ3VIQMag1mUeFKkL7KUbjCyje5cdQRDloF26pKg9nn22PIYUkXX2wXLc/dSnrXBsziCopPvBzfiBkklb9XfkMICIs48WVP0LrqGbTrEJq6mKITLiUhi3OSsYMyjdrxHi0v343d2oC/Zhwlp12LEx1BRhkopfDXTiL2doE+c/gElLAYEi9mPxOWSVLvv0zjm4+gUnEC4+ZQcsrVJK2yw1J58ji28DzTfUDaiFB84uV52yKzTsc2s5XThIBXVu3gfx94l8bWFI6rWLGuiX/+37dIpR2+fc0U5k+p5l9vW87arS04rmZnY5z/uOMtnntrO+IwY6jTrqBo4cUgcrc3iyqpUyU0tad49Z3d/NNvXqO6LMSomvzlXq85Z3LOQ+Q4isC4eQh/bnKfsAIEJ5+A46is8Vk7GRkqyl3PsAjPPgP7CJ2faRmm5NTr8rYFJ87HsQob0wFp0/HyHbQ89Yesl9Z1SG1aye4/fxN/qjHHa6GUxqgcjREpzd2ZNIjOv4DMUeTM1cFifMMm5G0rWXI1GXrH4Bhown6DBdNr8rZdf95U/H3krfQYOKQUWG1b2X3bLaR3fADKwWnZTdPDvyK96skDeo8PlhAJGu/5Ce1LH0Sl4mg7TXzVc9Tffgsh3T0czGcoMu89R+ODv8Bu3gXKIb1zLXW3fwejZROGIXDdA/SZs07HdjxD+lAJyjStT/4Prc/fng11dG2S695k91++QdBpHejD8zgK8L4SfYDjaqwJJ1B6+g1dxUGE6SO64EIiiz5C2s1e9kTa5dll2/Nuf9vzOwhHQtz19Nq8v3H3M+tIHkEMddpfTtWV38Is3WtE+EbPwj37K/ziob3Jc8m0w3PLt/EvH1vACTNq2DPjWFkS5F8+toDKokCOJB5AQhZRc833uhljvpqxVF/7fZLG3g9BQkSpvuZ7+EdM6VpmVYyk+prvkjSLD/v89uC6CjFsarZQy54PkDSJzD6TkjNuIqUKeyVNO0Z89Yu5Dcqh7YU78MlcyzgpIlRd/V0Co/cmmVplw6m++jukrJIjPZ1+JakDlF/8JUJTF3cNvIxoGRWXfAWneOSQ0YcVWvOJi6Zz1sJRXV7oorCPf/jILKaOKhm0cmMeh4+fFM1P/4F8Hty21x/A5+SZVTxEpBS4TVuxm3L7eDfeRnLt0m5hJT43Ttsr9+XdV8tTv8evkkCBPrNyJNXXfK9X+sxjEZlsJbVxRc5ybadpf+PvvTa48hi6eGEefURS+fFPP4uaKYtBOSilsc0IcSf7sRaCnCqI+/LuphYySrKrMZ633XYUHUmbQOTw5MlsJVGl46m88tuolh0kzGIeX9nGw39ZmxNDuuz9ei5YNIabL5rO9edNzXqefQYBUxY0NJTSxH1VlFz8T0g7ew7KCpEkgBACaWSL1DiOIm6UUXThlzGcBGjVuV6w1zR+U8qHMWYRVSNngpNCmD4yRpiYu/dDJoTAMjRCgO0KtNY4bXU5+/JVjUZWTwAnjakyKMuHsjOYpuzytsdlMdHzvkiJEwet0FaIFMGjzvjUGmI6TOjUmyg66apsLoAVJGNEOiWujh72v7/73wtTa645YyKXnjKeTOfzHbQk7lF2nh4Hh3TT2A35k2tRDirZDnm8v4eCYUhSG98u2J7asIzIlCW4naKnKtmxV/1pP+zmXQg3BTKQ7WNy+swwSQKeLvphIKUgU1c4Dj21+R3Ci9PgVcf16AHPmO4DpMxKviVWvEp8+/uYFSOJzDqDfUNstYZIqLBXtDjqx5QanynJFPig+60jiyd2XY1tBEmteZ13S07m7hfzf1xKIj4MKUBpgoYAw+jcvmdDQ2tNUvvAyBr8AkHCVjy/fDvrtrcyvraY0+aNJOwTpJQPZOfAQEFvx/y5riZOGMzOMur7OPVDMoVu3k5sxZOgXMKzz0BWjoN94qmNSAnijC+wsg7e2BCnLGJxfsygpH0VdaufxDd8EpFpJ5M0inEVpLQFsqTPzqc/SbsGaVGU7S00cJQZmNn7u43Y20+CVoRnn4msHENCdf84aqUJGILAnuf7KDtPj0NAGghfAJ3Jnw8irCMPYdJaY/SQd2BEy9D75IQIq7BjRJi+buW4tdakdN/2mccKWmf790IY4eLsffIur0cPeMZ0LyOEIJSuZ/ftt+ztqDetpGP5Y1Rd/k1U6YQur1hpxE9p1E9LRzpnP5eeUEM4YHLa/JE88fqWnPbxI4oJB8wjriCVUYLwzFMZF1P4LYN0ntCRy06bgJG1pQ8bKQX17Wm+9d+vdg0OVqxt4MGXNvL9mxcxrCQwIJ7boEjT8fyfSax5rWtZYv1yAmNmU37uJzEiJbjxduQ5X+M792yloTXZtd4zy3dy83ljmW1GSL5yL+1LH6L6mu+TDNYcdV7ooUpQpuh47s8kPtjv/o6dTfE5n84xqD2ODTJGmOhx59L++t9z2qzKkWh/9IgThR1HEZkwn9YX7gCdu7PIceeT2GcSUPmi+GrG5lXriMw5k4wRIUeH1OOI0Vpjlo1A+ILoTDKnvWjRpZ35IV6f7lEYL2a6lwmINM1P/F+ux0O5ND3yK4J6b9hGwJTccuMCyooC3VY9Y2418yaVUdfuMmtCBbMmVHRrr62M8LmPzMHfCyoDWoMbrqHIbeKWqydnDfROpICrzpzE6KroERuHtoJf3r0ix8tuOyq7fACcgEKA6NjdzZDeQ2rzSjKN26m68tsEZ57GI6s6uhnSe/jdE5vRM88DsvF1zY//dsjoLx/tCAGiva6bIb2H1KaVqMatQ6bwjMehYTsQnnMOwQnzui03S2uouOSrJHXvDLLSZhGVH/6n7p5uaVJ69k244e5e65T2U37Rl7DKhndbHhg7h8j8D9FLZQY88pCQEaqvugUZ3DchXVC08CJk9STPOeJxQDzPdC8jnSTpnfmTBt1YK6Q6oDMpUUrBG+/V8Q8fmUnQMkgk01SWBBDa4bHl9QjT5KGXNvGRMyZy4UnjaIuliYQsWtrT3PHkGj5zSfdKikIIhOCQX/y0tvDVzmaSTvOfnz2exphL2tFUl4cJmMZBeb+FoFslxP2PIZF22F6fP6lnV2OcRMqmKNC/j6NlGcTfe6lge3zl04TP+Txy4TW89P9yDTLInueONs3wQBiVipOp24y0E2D0n9KFlNkY70OZpNhzv/riI9GX+z4ULMsg/m6eBNJO4iufJnjW5AEZyHkMPDEVJHrmpyg+pQO3vSGboBwsJSFC6F56dm0l0RWTqfn4v6E6GhEoRKSStBEmrbqH6WkNcVFM2eW3QLIVlWjDKKpA+YqIqcPLjfE4OJSCZGg4VTf8DB1rQmWSmCXVZIwISeWZSR4HxntKepsDObqEQEpB2tXsbIhTHPZhGibCkLSnNXS4PPbaFjoSNrMmVOC4ijuf/AAhIOAzSWcclIYZ48q7dmkYmqAbw2nYhpvqIFg9DtdfnI1DPkgyyiBDCNMHNWX7NBzAQpMSgiqG27wDJ9aCKBtNG2G0L0LQZ3RpYR9I/D5fSfK+RmsQsoe4cylRGlwMZA/HZ3Qas13007kEZRqZbCFTvxkjUopRVktSRFA9GIeGIQioGKplF05HI4HKURAqI6EChTc6SKQUBHUc1VaH01ZHoKwWopUkdeBIo5GO4KB6vr/Ze+V5nY5VksoHZjmivDz7jGqOOHRufxwliBGFaJTKyigNDR0FQ0i01iQIQiCICA7LHoo32OsXlCKbVxMOQ3jPwgE9JI+jCM+Y7mVcI0Rg9AxSW1bntJlFlWh/lISt+O7vXqe+ZW/YwIiqCDd+aDr/dvtyrj1nCu9uaub46VXc21leXOusTN0ezls8BgkIQ+Nv3czue37SrXx3aNpJRE+5rleMpEJIKQgmdlB31w+7VXy0Rs+iYfrVvF/ncua8kUg0Ib/JuNpiNu5oy9nPqJooIf+e7Lb+w7ZdQtNPoaNA0ZjInLNJOdlwnDOOH8l9z63PWcc0JDVhhdt5/v7hk1BmqM874YhM0fLEb0ltWtm1TPpDVF31bZLBYXm9wlIKgql66u76ASrR3rXcXzuFsou+SMw9/KltIQQht4X6O3/QrXKiVTGSio98nZgO97B132DbLuHpp2QTD/Ow5/56eAzYYK8HBuMxeXh45MeLme5l0tqi9KybckT1hemj4qIvkpRhfnn3im6GNMD2+hiPvLKJU48bwe8eXM0Fi8fQ5tZz0akjc35j7uQqJo4oQamsR7p+P0MaIPHeyzjbVvdZeVyAoO787f1Kp9tbVlHV9BarNzRQ15ZECDAFfOHy2d1isgGCfpMvXjkXa4CeRB2uIHrcOTnLQ1NPhNIRaK1xXcXZC0czsqp7gRch4AsXj0es/DuQraZYdt6nSOm+DfEwDUHi3ee7GdIAKp2g/p4fE9T5w2kCOk7DfT/vZkgDpHesIb7sESzj8L/eAZGi6aFf5pQgtxu30fb8rfiN/g/41Bp0uJLI3LNz2kLTToKS2rwa6R4eHh4eHoeC55nuZbSGhFlG9fU/JrPtXVJb38NXNYbAhHkkZREdSZs1W1rybvvWB/V87br5PPrqZt7f0kTN+A7OXzyBU2aN4YW3tpPKuJw8p5aasiAmGiEETuO2HEN6D+1LH6B05EySfVSpTsebUcmOvG3u6ic5f8FXeOSVTdx80XSUoygJWfzr509m5fpG1m5tYeLIEuZMqiRkygGLr00qP4EFlxGavoTEuy+ilUt4+snoaBXJfbz6PqH51scXsHlXO2+8V0dFcYCTZw8j2rYBp6mIonM/hX/UDJJGEbqPtV59Kk7D8kfztqlEOzreAqFcT7BIteO05y+r3rHiKaqPOw+bw/Mgy0yMzO6NedsSHyyl6ORrsvJ6/UxS+wku/DDhGXvur+q8v9W9VjLaw8PDw+PYxjOm+wClNBkjjG/UTPwjp4E0yODDdcHuwdDSem/iXkfc5vyKWWQyLqXhODcsDAECrDRaalIilI3nTRau1KVScYRWZDTEkzaGIQj7LSx5CEmKUpLMuCTTDqGASdAy0J1BuaqARiuAm4wT8hu0xzNdqlCqU8d38bRqTp5Zg+tmvb69bUgLQ5BIK5Jph6DfJOTLHrNhCAJuDJ2OIQwT5YuQ0gFSyg/B4ViLrkUISNpujpKV1mAJmDyimOljStE6G0Ygh02letp8mpvjxFwF/VA0QZC9t4XQdv77UqggRHabNGiFNARJWxFPOfhMSchvYnDg5Mae9o1WoBw4SFl0KQUBEoh0DK0V+KOkZaSgrrnfcLGcGCqTRPhC2GaEzD4FebL3txZr0XUF7+/h4pcOphND2ymEP0zGiGC7nkKIh4eHx7GEZ0z3ASGZJvnWIzQtexRcB4QkPHUxRUuuJRMIUhT20R7P9SZXlQbpSGSXz51chXJs/C0baXj017gdzUC2NHXZGTdg2A5GzWTMmnEFjyM4YR7bO+CHf3qF1lhWy3p0TZQvX30cJSET9wCGnysEdzyxhhfe2o7S2fCCcxeN4eKTx2FojVlcSda0y92Pb8wsVm6JcdLs4Riye50P11W4fTTr7wrBXU+t49ll21BKY0jBWQtHc+1po5G7VlP/xO+6vOm+6rGUf+iLJMzSbIXKg9CeUkqTyexdb08lwP4sOe1IH8Gxs0huyFNdTciChSJkqDhb+EHlBgr7R0wmKcO88X4Df370va4qmNPGlPH5K+YQMESPIRHCH0H6Q6h0blVPs7QGbQYPKiTekBBI7qLxwV/gtOzKLouWU3Hh58gUj8ZR3eOBIkaS9pfvonH1i1mjXZpE555F+PiLie+XL3Aw9/dQiMgErU//nuT65UA2lKt48WUEp53meb09PDw8jiG8mOlexjIh/e6ztL/xYNaQBtCK+Hsv0/bcXyjyaT550Yyc7YSAq86ezGOvbmby6FJ2N8Wx0s3U3/2jLkMawG7eSf0Dv8AwBLJ1K8pfRHj6KTn7k/4Q4XkX8PXfvt5lSANs2d3BLf/7GknnAJaNlNzx5Ac8t3x7V7EWx9U8/PImHn99C9IQZIwIRQs/lHsupg993Id5a0M7cyZW9lvpaSEl9z63nqeXbu3ydrtK89Lb23Gbt9P49//sFpaSqdtE/Z3fKxhjPFjJKJOSJddlq6LtR9HCi8gY+UM1MjJCyclX5DZIk7KzP8GG3Ul+e/+qbuXk39vczA//uBT7AK7ptBGh9Mwb87QIys7+JGkZ6nH7PQRVB3V3fLfLkAZwO5qou+uHBJzuyat+Q9Hx6j3E33l+b1EM5dCx/DESKx4/ohjwAx6nzNDy6K+7DGkA7WRoffFOnM1vYfSCBryHh4eHx9GBZ0z3Mj4nRtvSh/K2Jda8jpFuY9qYUn78mcXMnFBOWVGAuZMq+ebHFrB+ayuLZw3jwpPG8u76etqXP563cpbOJMk07SS+8tlsWfKTr6H8gs9hVY7CiJYRmXs2NR/9KXe82oKTx/vcHs+wcUdbjwUrkhmXF97ekbft4Vc2kbQVGWUSmHsBFZd+BV/NWIxoGf6pJ+H/8PdZ1WDyjY8ej78fi2IkbZdn3tyas/zM46pJvfm3vNu4sRbc5h0DIs13uGgNSV8ZNR/7GeHpp2BEy/DVjKPy0q8SmHM+mQK6qBklsaaeSuXl38A/fCJGtIzQlEUM+/jP6LAqueOJNXm329EQo6Ujf1z+HhwXxMjZVF/zXQKjpmFEywiOP46aj/4Ep3TMAWdBAAxDkt70dv4wFeUSW/kMlrm3y7KcDmKrns+7r45lj+Jz+26QZNgdpLa+m7et7eW78avCYTgeHh4eHkMLL8yjFzAMSarT+5oWFsIw8M86AzXzPLD8GPHduC/eQaZuEzqTRARKGFEe5B+vnEtbPEMq7bKzIUZZcYA33t3NnU+t5dITa1FN2wv+ptOyG+3aSO2Q0CGMUQsoGTkToV1cI0irI1i1IX/xGIBt9R3MGFNaMF45mXEKtqUzLhlb4fcbJJUfWT2LkksmI1BkhJ+kI1hULnEd1a9qCamMm3fwMKzYxF27u+B2TvNOZMWUgzL4+hohwCcdTJVGI8jIcN5zcpUgJksJnvIxIiqNEgYZ/Dn3zGcoLJU1TjMySMr1IcunUHTR15DaxZV+Yq7EUbCrqbAB2NiWpKrI3+P9TCsLER1L9PwvIbWNK/0klHHQ8cmGIUjX5ZZS3oPdsAW/dtjjA1B2Ku9gE7JeYpxMn/VwKpUbzrIHN9aC0C4qkyYssutlZNCLpfbw8PAYonjG9BHiCsHLq3by9xc20hpLM39KJR+/5hc8/Npmnvm/97AdxYLplVx+3j8R2vVmNq4Uwbtb2rj9iTXsbIgxsjrKxUvG09iaZN22VgC2NWUwRo2Hbe/n/V2rciRq13qUsEB3xiHvUe1wwDIk40cUs3lXe97tx9eW9Gg8hvwmpiHyGnLhgIl/Hy07pTRJ9oYcWALcfgrt2JeA38BnypyS5VuabOZUjMZpyW9QW5WjSPVU6aSfMAxNMN1E63O3kdzyDkYwQnT+BYSnnULcza8XnnYlsCceee+9klIQUm20v3QfzWteAymJzDyNyPEXEtdhUrrzfnWGEZtSMLomyvub8yvNVJeGDmpgpLUmpS3A6tr3weK6Gn/tFGKrnsvb7q+djCsM9pynsIJgmHvDqfZB+ENg9l3csgxECrYFRk7D0C4Nj/03ifdfA8MkOut0IvPPJ67Dnn6wh4eHxxDDC/M4ApSAWx9fwx8eeo/m9hRKaZYcN5If/3k5D720mUTKwXYUr6ys49v/s5yOYfOwA8UsXVPHz25dxvb6GEpn45h/edcKRtUUMWFECQDvb2khOufMvHGxRrgYM1pOdO65pHX+KofKVdlEwTxhFhUlAUZWRXo0joKW5PzFY/K2XX7GRIK+wffohCyDD52cm5D57Io6ggsuAZF7zGZpDbJk2KAwcIKZZnb/+RskN60A5eLG22h94Q7anvxfgjJ9wO33JaQ7qL/9FuKrX0A7GXQmRcfyx2i8+4eERK5XVQLXnzs1774mjiyhONz35YxdV+EbNR0ZjOa0CctPaNrJOPvE+ttmlKJ55+fdV/GiS8mYhQ3eI8WxIoQmLczbVnbWx9l1+7eJr34R7droTJL2ZY/QeM9PCIlk3m08PDw8PI5eBp9FdBQRT7u8uE9ccUnUj5SwrS5Xe7k9nuGVlbtJkuG2x/PHpt7zzFrOOWE0k0eV8sNPLSZjlVB9zXfxVY3uWicwchqVH/o8BMLY4ZoeDeJowOQHNy9ixD7FRuZOquR7n1yE/wAJUlppPnTSOC4/fSIBX1bTLBww+dgFUzlx5nDcAyUwDgDKVZx7wmiuOmsSQX920iUUMLnijIkQrabqym9hlg7rXFsQnHAcVVf8Cwl9cMlxfYnfULS9cl9eibnkhreQ6dzKkYUwDEly3VLceO42dvMu3PrNOfHyWmuqS4N846PHU1mSrYQopeDkObV89dp5mKJ/7ndSRqm+5nv4R07pWuarHkv1Nd8jaZR0WzfjCkLHnU/x4g8jrKznXvpDlJx6Hb4pp2D3YXXDlLIoPuNj2YIwRvZZM8LFVH7k6yQ2vJ1TGAfAbtqO27i1x1wFDw8PD4+jD6GP8hJgTU2xfi34UVkZpaGhAyFg7c4OfvLnN7vaZo6vYFRNhEde2Zx326ljyvjsVZP4/E9f77bcbxnMm1pFJGhx6SnjCPktlJuNN5ZS4CeF4cQRANLElRaOGcFxNQLdY7iGlAJbZWOgDSkJWBK5j26w3y8xlY0rfaTSufPy0pAk7c4Yacsg6BNdhrRhSrQGKeim2GGZEomDi9lt+f7rG4bEFA4aie1mE+sMQ6LRCCFRrlvQYywEWAYINI42uknTGYYk0XnMPssgaEmUm9WZ9qskwkmANHCMMOkCyXqHwp5nYg+mKTBwURjYBznoCJGg4bav5zXCAMov/DzOiPlZuT9DYuKgZXb/+18jv+ESe/Q/85a0B4jMORPfiR/NKxW3J/4/nXExzezzQj8X1BFC4BdpDCcBaJQZIk0g5z03TYGhXaRpINMdnTHSPtJmBKefyoT7DI3lxsCxwfSjzABtD/4r6e35B8zReedhnXBNzrWXUmDJ7PnZSgxYESOPvmX/vsLDw3smjh6kFJSX55/x9GKmDxOtoSjUfeo7lsxQWRosuE1pka+bGgHAWQtGMW9KNa++s5PdzQmWrann+PERysIGCR3qjEf2g8zGf7oIdjUmeOzV1aQyDqfNG8GU0aVYgryGp1IaA4h0epfRGk02MS3gtNHxxrPE6jZhVYygaO5ZpK3Szjjczu1dhV8K/P7s9q6jUQiaY2keeXUzLR0pTphew3GTqwib4LdbiC97lkzdJnzDJxKZsYSEWUJ9W4ZHX91Mc+f68ydX4N+1kviKZxCBMNH5F9AerOXN9+t55Z2dlET8nL94DBVFAeR+JxaUaUT7bjqWP4bOJAhNO4XAyGkkdAjdGT++7zErd48WtCZBAIzO+ONeDpM2DAi67SRWvkRy+/tYFSOIzD6LtK8UW/U8CaSkgREuKWhMG+FiHCAi4qQ3riD2wesYoWIi887DDVeRVlbXuloYGNHygr9lFlcVnNFwXYUlwOq8dv1tSMOeuGsfyM73S0FuPHg7iXdeIbl1NWbZcKJzz+68zgb0kyENWe94hmhXT+pDYxaVUSgoJ9+1D4kkqmEzsRVPARCZezayYgwJlT9O3sPDw8NjcOF5pg+RfUeRtoav/+YVWjr2fjp/9JnFfPt/XsPNc0z/8snZmNLgwee38/YH9SyYXsPkUaXc+lj3JMOyogA/uGY8laVhYnrvKMgVgvueW8/jr2/ptv642iL++fr5WBwcpikJdGxl91+/370UuTSpufIbZMomFS5wIeDVd+v53YPdvZ4VJQF+/MnjSf75H7Iewj2rmz5KLr+Fr96xnfqWvfGi5cUBvn/laJz7bgGtsT78fb57b/d1AG44fypLZg9HdD6mfmmTeesh2pc+2G09q2IkFR/5BjHV/yEblZVRGhtjhDP17L79FvS+lSGFpOryr5Mpn9RjoRrDEJg73qbxwf/KaZOBCFU3/BQhoOGv38spCV5y2vUYk5d0k8QLp3ez+89fz/0hIRl2038QkyWHeJaDAyEg7DSz+7ZvofctECMklZd9Fbtyet53rz8JJXdSd+s3cxukwbCb/p2YKNm7rkzR/uT/kNzYvQBPcPw8is78JAntGdRDCc8L6bE/3jNx9NCTZ9qLmT4C/IbgO584gbKivR+8e55eyzc+Nr8rZheylQNv+NBESiJBfvXXd7nijImMry3mjPkj+euTudPBze0pHnizifjW9/HtM3fQnrBzDGmAjTvaWbWuEcM4uNsZ1DEaH//f7oY0gHJofPS/CbiF43NTjuYPD+fq6za2pnjwpY34x87ttlw7GWJP/Q9XnjSs2/KmthSPrOjAN3EBvnFzeeq9RI4hDXDrY++TtPe6kM1Me44hDWA3biO1bulBX4PeJiDSND/1u+6GNIBWND3yawKqsJQaZL3mcvhUio6/kGxVySxGuJiqq27BtqLE334yx5AGaH3+dnxud1k7O1hB+bmf7ornBRBWgMoP/xNpq+jQT3CQ4JcOLc/8sbshDZ3X+TcEBkEBHjdcSdnZn8hWm+xE+AJUffifSRnFe5cJgW7enmNIAyQ3LEe3Hl365x4eHh7HKl6YxxGglKYkaPKTzyymLZ4hnrKpKA4SDpj82xdPorEtie24VJQE2NUc43v/vZxY0uZHf1rKf3zhFLbVx/JKzxWHfTTHFZlAGWGdJEMQ05S8taY+73FIAcs/aGD+lCqEyI6elMqNpe0iHcduyC1uAuC0NUAqBr7c0ZcQWX3qQjMBL77TwHkXLoB1b3RbbjduZ8yiXCP3xXcauODiheCkefGpprz71Bo27Wxj5phShBCkN+aPAwaIrXqW0gmLsmEx/Yx0k6S3f9D1tzAsjKJyVDqRTQRMtYO/Z695UvnxzbuEYXPOxG1vRPiCiFAJSREh4MRpfe+l/Btqhd2wBVE9uyvO3tYW5pgFDLtpOm57A0IayEg5KRnGGQC944N6Lg8Cw0mQ2vxO3jaVikGyDQL5K0D2F2llYY1bxMhPzyXdXIeQBiJSTsoI4+5z7S1LEH/nmYL7ib/zLIHTJ3UrX+/h4eHhMfjwjOkjRCmNJaAi4qMiske7V9ERs/n+/y0l4DNJpO1uBkQq7eJqnSNbN7I6wrc+Mo5Iuh63rR5/cDSGdrCkQiMx8yhwfOSkWpZMCWM1b8basRxZPYp1iRYMM0BVqBKfm5u4xYG8XXkk5PaQ7xj2YEgBBfWac7czDYlWLkKpvBJ+XetJgdbZwxay8CMrDAMtxL7htf2I6DwGi9JTrsQsqcZu2oERLspqElsHF4STUSYZUQLFJdkFGrpOXhqFf10aBEQamWkjs2sdMhDFqhpDSkZwivaRmutnOW0hBLaG+uYE2+tjDK8MU1MWwicPM8lOyOy/QpVgenh2+xNbGVjlNbQ6+xj2+9nEWtPNe70/wrAGhWSjh4eHh0fPeMZ0H1ES8eP3GcRTuVJnp84bwROvbeHM+cPxWwZp22VYeZgfX15L6/3foTG1d8reXzuJinNvJmmVMndyFX9+dG989SfPGc3czDLs+x8jDdmkJyGpOfcm7optZF3bDr558ucJ7FcoQvvC+IdPJL1zXc6xWeW1CNNEyly7OCDSDAvamIbEcXONmbPmViM35IZgWDXjWbkrtxz1mXMqMNc/inZszppzKbc/ty1nHUMKRg0rQuusaklw5LScdfYQnXsutgjQ7xYj4BghgmPnEJ19Gu3LnyC17b2uNuEPUXPlt5Chw1dpyMgQkdln0PbSXbmN0sBXNYqWF/5M4v1X9v6u6aPyI19Hl4zFVQPjjU65mu//4Q12Ne59pitLg3z3EycQMsUhG4uOESA0cT6JtUtz2oxICQSKBmgwdeg4jiIy+0zi7+afcQjPOp2k43mlPTw8PAY7g8ONMwQJmIKvXTsvx+NaXRZiydwRlPgdfCvv5x8vGY8UcPM5I2h76N9Rqe6xr+kda+lY8RQBUkT9Btedm9XfLYn4mVORwl75WPcf1orUY7/j0lEn0JRo4X+W3YYyu8sbJHSIivM+lVPFTfgClJ12HfUP/IKg7n4cUgp0/Xr0a3/hixePz3Fuj66JcvaiMdg713ffLhCm6Kyb+dtr3asPjqqOcsZkP+nNq8hsf4+TxkjG1XaP5RUCPnf5bALm3h/LWFFKz/w4++MfOQ1r9KxuEnn9SUablJ77SdK71nczpAF0OkHdvT8leATxvI6rCU1fgq96zH4tgqrLvkZq6/vdDGnIxqs33PtTgmpg4oiVEPzuwdXdDGmAhpYkv7p7BW6e2YoDkXZNik+9DiNa1m25MCwqLv4SSTGwIR6Hgtagi2oIzzo9py0y50xUpNrzTHt4eHgcBXie6T5CKc2Yqgi/+PISlr5bx67mOHMmVjJ2WBHf+O0rfOcjo0k++BijxzfxnzddQkVQ0djRnHdfHe+8QHj6KZjhKKfOqeW4yVU0NrZirrmtgAqYxti2llEltXzQtIGkShBir6GqlEb5i6i88B/ING7HbtyOVTYs69188U7s+i3oeAuE9homPmHTvvRBnO0fMM4K8Z83Xcjr6+I0xRzmjwszbngRfp9F0cd+RnrLKjK7N2CVDsNXPpy21S/wnStP4o31cRo7suuPH11FOLmLxJwzMIJRghUlfOP6cWytj/P6u7spiwZYPGsYEb/ZpeQB2TAI3/jF1IycRmLNq6hkB6HJixClw4mrwrKEfY3WoLSko0ApbJVoRydaIXj4xl5chyi79J9xG7eSXLcUI1JGaMoitBWk5d4f5z8uJ4PTuA1ROf2gyoH3JqmMy1sf5I/zX7OlhUTGJWId+ng+IYupvOYH2Ds/IL1lNWbFSILjjyNlFqF60FwfjCSVn/DiK4nMPoPEey+DEISmnogOVZDU/R/77+Hh4eFx6HjGdB9hmpBI26RTNqfMqSHkN8lkFE1xm7ZYBqGz07f2hqWwYRnGFXlkzDrRmRRolQ2bRVMdEYyKhmlcWdjjKFJx/EY2httWuSa3dh3q7v93rNJqzJIq0u9vwn7xzr3tdndVCqFcVKeCgrPuVcT61zl1+ESkP0hm6VZ8885HTT2bGFGMcSdTNHEhDXf/ALs+qz4iVjzOkn3WD5V/hlTpJHwnTgAgbrsYwPiaKJNqi9EaHMfNK56d0RYZqxLruMsASDkK3UdyaKYBfhVHpzoQhoXyRUjpQH7DVCtUqrBqh86k4Ajsfa0hroPIiin4qqehNaS0S0i1U3ry5SAkdsNW2pY9ikrufTbcVAxRQIe8L3HcnpMNbceFwzCmldLECSNr5+EffTxKaWKOyolJPlpIKj8Ea7FOuAaAlKsIkCScaUArhQhESclwj8WZPDw8PDwGDs+Y7gOEUNz73EYefX1btkqhgMUzqrnxwmmEAyZFYR/NaYPqcHFnyWeFtHzZBDOVaxEERk1D+EK4riIik7Q9fysd7Y0Ex8wkvV9YxR70yClse+9eiv1RQmYI9gvddoSP4LjZJNcvx27a0b1RSIyiym6LbCNAaNJC2ho645q1Ir1jr3qFf9R0El3FURQZBGZxZZcx3X39bFtK6xw9a6U0Ks81yEdBLexewi9t9NaV1D/9h66BhK96LOUXfZGEUZoT/+xIf/aabsiVOste04peOa4918gvbNSWN9n57K3oTFZW0D98AlUXfYGGh3+DG2/NHnPNOOIDoL0c8BlUlgZpyCN5WBzxEQkcrDJ6fpTSQ0rpwrZdpIRgqo6mB/8Lu3kXAEa4hPLzP4tTPuGAxX88PDw8PPofr2fuZXyW5Mml23jwla1dsndawyvv1PG7B98l5IObL5nJnS/XY550w94NhaTkxA/n7E8YFiWLL8P1RfAJh7YXbiXx/qukd6zFP2xC3kp31shprHfjJO0UH597Jf484Q8ZbVKy5BqE6ctpKzrhYjJG93AEx9GEZpyKES7JWT84fh461D2GNaMMSk65GmHlTlUXnXARGSO/8PlgQQiB0b6Tpkf+X5chDZCp20T9nd/PG/+cUSYlS67Ne02LF12K3YvnLKVAtmym+fH/7TKkAdI719P4xO8pPeVKAMIzluD6BkZXOmBKPn3prLziMTdfMhO/2f9JkYOdkOqg7o7vdhnSAG68lfp7f4o/kz8MzMPDw8NjYPEqIB4iB6pW5CiXL/7iFZLp3NAKIeDXXz4Zn8+ioS3N+o27WVDrYmx4CV95LSgXX8UIWl9/AKejmcDwSRQvuCBbIrukFiPVyq7/+xJ75AqMSCkV591MctMqEuvfQpgW1uzTaaiq4eFty7hkyjmU+yoQTn5JNUNC0GmhfemDpDa/gxkpoWjRZYjK8dmp5/3YU8Y5vvJpEmteQ/gCFM2/AGv0bOJ5Sh9n999K+9IHsvsPF2f3XzUh7/4HEwHDoePR/yS1JbdADUDVVd8mVTwOrbs/E13X9I0HSG95FyPSec6VE0iqXCP7sI9PZmh/8OcFZyaqLv0KrutiDp8yoGWptRA0xzLc9fQHbNnVQW1lhKvOmkRlsR9xVPc8B+ZQK5sZhkBufp3mx36btz0y+0z8J15Hph/LpXv0Ll61O4/98Z6Jo4eeKiB6YR69jO24eQ1pyHqoEymHgGVRU+xn2PxxvLelhRGzr8R47wHalz+GWT6C0rNvwgwV42pB+8onses2UXHRF3CVYl/dLzfWQt09Pyc4bjbROWcQnLyQhL+YCifNJ8omY2qLlK3QZCXmDOgW6+sqiMlSAideT3hRGi0MMv+/vfsOk6o6Hzj+vWX69k4vC9J774KKIGLvJRo1sUZj9KdGTTSJGksSa+xii71iARVRUUBpIk16L7uwfXf6zL3398fCwjKzsCzLzqLvrT+K8gAAUs5JREFU53l83D3nlnOHy/DOmfe+B0edH05M08JLMrYBp5PRdwKWohJRXITrqKBRffy0Oo+vaSoO04eCianohIhTEztBVDNCpLSwzv5oeSFKWn5M7nTNazryN3iGH/w1bfD4rCiRsrrHZ0bDmG0G4Y8mprrJHoplkZVk45rTexExLGyqgkJ1LrWmqYQME8uqXnjI1tDa04fAoRnoZhBQCGtuIs0oMFVVtc7FlKB6lU+nFUXetoUQonmRd+VG5rBppHjsVPpi6yprqoLHVZ0nalmgYbGz1Menszfw55Ed0fM6ER7+O/49o5DFazficuicNKgfJ4w+jvJv38KR246sk66ieNoz7A2qLQIbfiJUsB5HlxEYQdBxYCgKc1cU8N7X6yj3hujSJp3fTu5BVoqjVnUMgLChAq7dhzx4MBOJQqRm+4MHa/GO71LDmNtWUPLdm0TLd2LLbkv62IsxM9oTMg8vl7YxGKoNe257AlXxV2a0ZbYmcoDA71Bf00NlqnbsOe0Jbo6/IqSW3oJQggPpPazdC8/YlOr/W1SXzftxdRFvfbmGovIAHVul8tuTu9Mywx1zfzYGVVVwR8uomPUm/rULUHQbyX2OJ2nASfgsd7MoQWcYJvaWnevsd7Q6BlORt2whhGhuJGe6kblcDs49oVPcvuMGt8bj3vuPYTRqMqRHCzYWVEJOJ8zRV3Lby6tYtKYE0wJfMMo7323jkU+3Es7uQunMVwhs+ZmUgRNjjp068hxCu3NyLUXh7Zlref6jFZRVhbAsWLWljD8/OZviyhDKwVZAPMJsmkV41SyKP36UaPlOACJFW9j19r1QuApNS/xtGTZ1UkeeE3dFPVtWG0jOjrNX0wmZNtJGn0e8lSXteR1hvxz2ZkVV+OyHzTzx7hKKyqvzvTdsr+Avz3zPll1etAOsstlQbrOCna/ejn/1D2AaWOEglQs+ofj9B3ApsQ9IJoJpWthadI77XIKi2/H0Oa5ZzaQLIYSolvio5RfGZ/iw0rZz8cn5pHiqc2Sddo3Jo9vSvbeB36pdOs2tK9x39QjmbIwydVE5oTgVKn7eWEalpx2Kbse3/Fs83Yaj2KrzYFVXMuknXI4tfzDRaPX0WiBs8OWC2K+LTQumfLwi4RXE7IaXitnvxO0rm/kSjgQtMrIvy4KwM4ucc+/EltGiulFRcXcdStZZtxGwElfTunp8FhFPHjnn3I6ellszPk/3kWSedjMBK3F50gcTjJh8+O36uH3Pf7SCUCOXgLPpCv5l39R6kHSPyK7NWGXbE/4Bc4+AkkTOBX/D2b53TZs9twO5F/6NgJaawJEJIYSoi3xn2Ig0m0JEMVi4awEKKn+6/GScupOoFeWLjV/y7E9L+MfY/8OuuGv2MU2LVKdO32Oyef+bvQFGyywPPTunE42aLFpZzMZSi/5tu2FZ1bmeub97FEI+0ByEtCQC+wQgZVUhjmmbRpeWHsp9BvNWFtUE6au3lGGYFnsWZlQUsGmgWCZRtCapZWsFvVjR2DQYAKOqBCUaAq36NVJVBZtanSseMTVUFTTLwFQ0ItEjO9aIqWGm55Nx9l0o0QCoGlHdg9eI/0BnUwubOlpmFzLPvbt6fJpOVEvCazSvz8jVf4YGoBAxVSqrQjWVbva3vchLJGqi6413DZoZwrtpSZ39oa0/o2UeU/NhNJFM08KnppI88XrSoj6wLEzdTeAI5N0LIYRoHBJMNwbNoNwo5/NV31DkL6V7dmeGtRnAgh1LWb5zNblJWYztOIyoFcGu22MWl7AsC11RSEt2UOkLc+U5nfFphfxU/B021cZv+w6lY2o60c5XMfPHQtZ8uJX2LVMYP7gdybqGtU9goqoKndKi3NBjF9qOpVjJmZx78TimLQ/w6fxC0pIcNYkBDjWC5tuFd9F0DG8Zrs6DSOo0EL+SfET/4Y5XLq+Gplf/B7jVIGbxJrw/fgaWSVKfcWiedMrnvoeenEXSgIlEHBmEzSMX3BqGhR8naLtnehM9rb8fwzDx4wJt90x5MxufRwkQLVyLb8mXoGgk9T+RVuntUOt42NDl0NHUxv0wYKk6elIGYeLPhmsp2TSnONWyIGjooKRWZ/GYcCTy7oUQQjQOCaYPk6JZLC9fyZMLXqlpW1m0lhnrZ3PdkEv4aOUXrCxay6xNP3Dd4EtI1pPircuCpsDZ4zrjN71M2/E2myu21fRtqdzOFV2v4d7nFxPZ/VDZ8g0lTJ+7ibuvGErbbA/G7ooabqOcna//BdNfuXedlpXfcfKxl1NSmUm3Trk4dBXNCmOsnUPxzJdqzhPcsgJt3lRyL/w7VSQ39ktVw7Al4WzbneCWn2P6knodS0RLwmUGqfxqCoE182v6AhuX4mjVheTeYyie/izepV+Tdfqf0PN6EjWax9f0Yi+3GqDs08cIbV1Z0xbYsBjXMUO49exT+Odbq2P2mTisPU6billHhZiGCBsqyUNOwb92QWynpuNo2wNvI55PCCHEr0vz+j74KBRSAzz/4xsx7d6wj5kb5jCi3SCgevb5lSXvEzbjpzeYpkV+y1SC9oJagTTA+HYnMOXDNTWB9B6GafHYOz8R3N3u0Awq576D6a+MOX7ku1e49LiWDO/VorpqgOmn7KtXYrYzvGVULvgEu37kZsJClp30iddgz+1Yq93ZoS/JQ88kYiooVYW1AumafbevxrKs3asJWpROewqHWfcS3iIxVFXB3Lm+ViC9R2DNPHpnRzmmbXqt9qE985g4rF2jBtJQPdNrJOWRfsJloO6dP1AdbnLPuYOgeuQ+OAohhPjlk5npw1QeqiRsROL2LdqxjGsH/4avNswBoCJYiTfiI43qlAFFqa4ta5q7a+1qUZYWxZY6y3LksaVwTdxzFJUF8AWjpLl0dDOEb9UPcbezjAipeAlY2SgKRIu3gxU/aPH/PAfPoFOJqh4UhUbPo7Ys8ClJpJ1+C2qoEtNfhZqUhmlLxmvasds1fD/PrnN//7pFuNr1wLtsFmbIj+WvAJenzu3j0TQFy6Le6SyqqqAoSs03AIfrUM/fHKi7E+3rM2abZuFd+lWd/f6fZ3PHpZdQXBHE6w+TnuzE49COSFk8qK5+YssfQYv2fTG9JaDpKJ4MgoqHppyUrr6PGv/vlBBCiMSRYLqBFFUhGLXipmzsoSkq5n65jqqioCoKIcOioNhPQbGXQfkekoxKwpvWcUlKF05rNYiX185gXfnWmn0OZN9KcoqqYxnx62cp6j65xWrdecbOtt3RrQi2wp8wA1U4Wx6D6UglYDXeqoWWRXXFCZsTUnOqG829fYped61pRdWx9nnhFbX+KR5ONYwWriS8eTWKzYW9RSdCWhIRM/6XNJoKLrOKyM7NGN4y3C06YbkzGryCo0sNoQbLCW1fi+5OxpbbkaCaRNRsvmkqdjWCPeoltHUVoOFudQxhLYmwVffbh2WBotXdr+g2VMsi3aWT7tL37nQERUyNiJICybuXV7doslRkm2rgMLyEt63FioRxtu5C1JZMqBFXxRRCCJEYEkw3gKoqFJQF+dsLP3DtBV1w21z4I7G1aoe26c+PO5bV/J7tycRjS8LrN7nrue8pqQhy94VdCc18Gt+WvdvZbQ6uO+16HtnwJZsqtrPZu54u7dJYvbk85hxtcpNJMsqxK2mEVTdJvcdStWh6zHaK3YmSlAFWdcyip7dA0WxY+82qO9t2J6nnKLa/cBPsE5S7u40geczFTbI0dSRi4O4+iqqFsdcB4DlmECUzq1NUNE8aOFPrFRS51BD+ee/iXTxjb6OiknXqDdjyehLZ70FGTQWHdyuFb92LFQnWtDvb9yZ9wjV4D/G18KhBKr56kcCaeXtPr9nIPvvPWGkdMJphQO1Uw4RXzKTku7f2aVVIP+G32DsOI2zF/9ATMRSS+o3HHydVB8DTfRS+OGUgf4nsahS2LaHg0//W+jYoedAkXANOafAHMyGEEM2D5Ew3QNCwuOfFeQTDBlO/3MalPS9G229xj1xPFsPbDGD+9uqSXA7NzvWDL0ONOHjsrcWUVATp3iGdnLIlRPcJpAGsSIjwR//l4k7HATBz89dcduoxNXWr93A5dG6Y1JbA1H9ij1YSMSBp0Ml76yLvoWpkn/ongureVIig6iHrlBtiFiVJHXYau6Y+WiuQBvCvnEN06/ImW1DFdGeRMnhyTLun61Ci3nLMQBWKZiPrtBsJKAdP8VBVBat4Y+1AGsAyKZ76KA6jKmYfp+ml6J1/1gqkAYKblhJY+S26Xv/gV9NUwpsW1wqkoTr9pujd+3E1g9ra+1MUUL27qKgVSANYlM2Ygi1cXue+lmVBehs8PUbH9KUMPgXDndm4g23G7NEqSj55IiatqmrBp1C2tdnUuBZCCNEwMjPdAMUVQXzB6mBz3bZKZnylc+PxN7Kucg3l4VL6t+xB27SWbCrbxtj2w2mb2oqeOV1wmR4qA1HWbC0HYGLfDMwfX417DjPkp4WpcmbXExmY1ZkMq4IHftOZldsDrC4I0DHbQY8WOsp3/yVaVUJg7QL0nhPxGR4yz/4LRvEmAht+Qk/LwZU/kKCeirFPxYuoqaLkdqPF5f8msHYB0coS3McMwQxVxQTSe1Qt+Ji01r0IcORn0oKmHWe/yeR1G4l/1Vwwo3i6DgVVo2rpLNKP/y3ODv0I6smY9cg/tSkRquZ/FL/TMgltXo6WP7pWTrTlLYm70AdA1aJpZHUdSRR33P792U0/ZQs+iX/6aJhoyTaUrO7VQWgzYdMVvIu/qLPft+JbbIPOIVLHDHPAdOAZdWH1DPXq71FUHXfX4RiudIK/kvQGXVcJrPyRur46qVr4KZ7xfyDUzGqDCyGEqD8JphsgGKodbC5dW8rStaXkt04lMzWD9p06o4UsuiR1oXtqN0zTwoiYmEDEsNA1hfFD29OjQzreuXVXorD7vYxeswpr2U8onfujrl5AV18ZPVNziK4rIfLD3qofZqASUCjxRihT7SRldsfTsjeGYeKNmjX5yPuKmBoRNR29xwTsikLEslA2zCG53wm4O/bFikZQdBv+DT9R9dPM3YFl0z2tFbTs4MjFNvAsALwRA1VVsA+/CNO0qsuZ1TNTQLFMzFDdy0YbgSr2Tb1WFDDDdW9vBv1xFvI+wPmx6gzMAcyQD0U54mnDh0TBwgzGztjvYforOdikasB0gLs1tsHnAVSndiSwCp2mKThNHwSrQFGwnMkEcR/BB0EVzMABXsOgDywD+ZJQCCGOXhJMN0Bepjtu4LN+WwUtMjxouztN08Lc7wlFj1Pn5gsH8O3i7bw3Zwcnt+9LeG28ChwKmiuZwO7auGbQi6fLEMq+fZNIaUHM1nqHAdz6zFx2FPkAyM1wc/OFA8hOPvgMYHSfknsp7XoQ2ryMne//u/praUXF020Y2ZOvI1SwgajmgvgT10fMvjOf8V7T+oiqDtxdhhLeuTFuv7N9b/z7vA6WBXpaHtWrZsRZXKRTf6Kqo97BfFRz4uo8MDbNZDdbbgfCzayyR9RUcHcfRWD94rj97q7DCUfrFxnXNXvdlGyqiV66gaJPnsDwlQOgp2aTdcofCXpaHZGqHoZh4MrvR+UPH8btd3cbQVSxI4uyCCHE0UumQxrAZdM4bUyn2HaHzrknHANm3f8qO20qPywvZO6yAr78cSdmn1NQ7LEPsqUOnoQZCdX8Ht65EVtmK/S03JhtHW27s3inVhNIA+ws9fOXZ+bij9Q/QnBoFpXzPsK3cu7e/E7LxPfzHAIbl5I08CQiTRxIN5Zo1MLVbQRackZMnyt/AJYnK6Y9rCeRMuSUmHbF5iR15LmEDmFZ8XBUIXngZFRnUkyfp89xGLaUeh+rqRiGha1VV2yZrWP67C06oWa2PapK+zki5ex6+76aQBogWlHEzjf+hsuMrc3eGCwLSM7F2a5XTJ+emo0zf6CUyRNCiKOcYjWnJM0GKCnxNuk/6NnZyRQVVWEqCht2VPLu1+uo8Iboe0w2k0d2IMmuHXA8AcPiD//+pmab9nnJ3HxKG7RVMzC3LUdzp5Dc9zj0lGwCm5Ziz2pF5U9fYVSV4uzQi9SBk/CunIPv57kouk5y/wmUpXXlpueWxSzqAnDNmb0Z0jWnXvWRPVYlhS/8Ccw4EbOq0+KK/+Cl+QV99aWqCm6rCv+yr/GtnINqc5A8cBK2tr3x1VGZw6WGsIrWU/n9Bxj+SpwdepM88GQCeirG7snWPfdEvc5vVuD98TMC6xahupJIGXwKWosuTVIlpSEUBTyKn8CqOfiWfg2qSlLf8Tg6DcRn1i9fvDmw6QqReW/GrXQDkH78ZVidj220OuJQ+77wqAHCm36iatF0rGgET49RuHuMwUdSs8qTF0dWfd8rxK+H3BNHD1VVyMyMnRADSfNoMNWyOKZVCrdc2B/DtHBo1YuvHCywD4aMWttsKqzihudXMrbfQE4YcwId8pJQQl6CO9ZRMe9jNE8KST1GYW/ZGc3hJly0GVtGS7LP/QtRSyOiu3n6f4viBtIAmwqqGNY9tybw20NRwK5E0a0QoBBW3RAMxQ+kAcwoViSEyxFCtaJYqIRUT6MGH0eKrik4TB9YFlHFjtbvFDJ6nUD1dbsIH+AaAqYDNbsHKad0QrEMDNWJ11Dqnd6xL9O08JKCbdDZuAZMxlI0wjgIJXh2V9dVgrtz+jVFwabuXZjFssBrudG7jye9yygsIKK68B1ls6kqBpHirXX2R4o24eiqxPw9aSw+04XWYQRp7fujWCYR1Y3XaMJC10IIIY4YCaYPg2laqICqgHmA1I59uZwaNl2tFfy2b5HEGf2TUX58k4KpS1BsDpL7Hk/u2bdRPP1ZnG174Fs9D9/Pc7CMKO7OA0nP60BEz0QnSre2afy8sTTu+bq1T48JeDUVXOFiyr/+H4GNS1DsTpL7j8fVexyKzRlTCg6qUxtUVaH0wwcIF25A86SRMuwM3J2G4G/GdXI9WpDA8m/YteATzKAXR5uupI+7lJArh6ipUp9EWdO0CLI797wRgq2IoRDBtTuOSmwwZSgKi1cX8caM1RSXB2mbl8xvJ3WnTU4S6j4zptGoRXT3yp0cZYE0gIGGo3VXgptjVxgFcLTpfsQ/GBqGibGnEs5R+BoKIYSIT3Kmm1iaLcopw/bmoGqqwo2T2hD96B7CG38CLKxIkMoFn1D27ZvknvEnSme+jHfp11jRMFgm/jXzKXj1r3iMctSSjRx7jAOHLTZ/Nz3ZQec2aTGz5a5oOYWv3E5gz/nCASp/mErVT1+SOjQ2RxggdegplM16nXDhBgAMXzllX07BN/99HGrzTKR2qWEqvnyBiu/exAxW13EObV1F4at34AgWH7QSxS+doip8uWArj7+zhOLy6g9QWwqr+NsL81i/vaLJaoo3hWjUwt19FIotNp1Gdadgb9VVcpeFEEI0yC/nX8ujgKoqULSO41uUcuG4tnicOsN6ZKOvmRl3NtjwlhGtKolbvcMMevGtnINvxSzUOS9wz8Vd6Nw6FahO4ejXOZN7rxyKU6sdMdo1i6oFH1UH5vupnP8x7i5DSR97MaqzeiEU1ZlE+tiL0ZMzCKz7MWYf7+IZ2Izmt+AIgBqurKmGUotpUPHdG9Ur0/2KBSIm7329Lm7fCx+vIFjPSh1Hi4CWSt5Ff8fR8piaNmf73uRe8Hf8SnICRyaEEOJoJmkeTUjTVIKblhNe+Cljuo1g/FVnYHfYKHv/jbjb2zJbEdgU/2tpgMDGpThy2xMtXIfry/u5sd/JRI/PRwH0HUtIj2Th11vVbK/rCnbTT8XmFXUfc/Ny1B4nkNN5KBhhFJsdTVXZ9uTVe8eV3RZnm65Y0Qj+dYsw/ZXgSTvk12MPTVPRiYCiEjbURnkgS1EUouU78XQfiebyENq5idC21TX9wW2rSTHD/Jr/CngDEaJ1pDbsKgsQiZrYbEf287ZdB8WMYqg2otEjOzNsmOCz55J6ys2o0QAoYOgefKaOdRRVJRFCCNG8/HojiQQwTQs9LYeM436D6nDjm/0qaoc+aEkZREq2x24f9GJLy6nzeHpKBkk9R+NbuxCjshhjzv+A6izcMKD0GgGAqoLbrMT/0yxC7mS0pHSi5TvjHzM5k1DEwlA9eBSD4Kaf0NxpqK4ksCBrwu+IlO8ksP4nFLuTzHEXoXsaVuFDURQ8eAltWIL359koDhfJA06C9NbVi30cBrsSxuZOJmBECe3cjLN1V9KGnUbJjJeIlu9ET0rH+pV/MeOw113az2HT0LQjlwdjV6PYgqVUfT+daFkBzjbdSep5LAE95Yg9BAjVy5wHLDuojZcDL4QQ4tdNgukmZBgmKfn9Kfv6Vfxr5gMQKtxA5nGXENy8LGb7SGkhrvz+8M0bcatseLoOY9fUR8ia8Dt2vvsg7LOYiS27DZYjGcUCd7iEwv/dgRUOoqVmk3XCZex8d1XM8RS7C1t2W8IKeMxyij56lHDhRpxte5Dc93gcLfIp++YNIqU7avYJrP+R5P4n4hx85iEvEe3BS9Hb9xAt25vGEli3iORBk3AMOJVQA5ectqkG5oZ5FHzxfE1baNsqqpZ+Tc7k69j57kOkDDujuoLJUVCN5EjxOHS6tU9n5aaymL4Th7bFZdMwj8Dro2mgFK6k8IP/sOcBzNC2VVQumkbeRffgs2U1q5UghRBCiAP5dU/NJYDhr6gJpKF6Sebwzk2kjTgT1L2fbVR3Cnnn3UnYnkbu2begOvbW9FV0OxnjLsa/7kei5bvwrZ6Pp/Ogmn5bZiuyTv8/ApYLhxKhbOaLWOHqnGxn6y4YQR+pw04Dde/MpOZJJWfyH7AUFacaIbhxCeHC6tUCg1tW4Gh5DJHi7bUC6T2qfvwcLVRxSK+DrisEVs+tFUjXHG/Bp+jhhi+i4TD9lH75Uky76a+kauk3ZE68Eq11z6OirN+RpGFxw7n9yG+VWqt9aM88Jo/seEQCaQCn6aV02lPsX8nECgcpm/kSDiVyRM4rhBBCHAkyM92EbDYN/5L5Me0V8z/G02Uoeef+GSsSwjIMbBl5GPZkIqaGntWFvAvvJlpWiGUaKJoN38q5hIu3ojrc+NfMo8XF95I0YAKK3Y3lTMFnubAsC80K1ioH5mrfi5LPn8fdqT+5Z9yEGQ6iaDbMcIDSb14j/bhL0TNb4tu5CdWVhBmofrgwXLAO/7pFdV5bcPMytC7H1ztA1Y0g5ctn1dkf2roSrdOYBgW8RuWuOutl+9cuJHXMhVQ143J+TcWywKHCbRcPxBuI4A1GSPU48Dg0lCM5NRyoxAz543YFNy8nzQiAYjty5xdCCCEakQTTTciyqmeV4/Gt/gEzHEBPzcG77Bta/OYfKN5ilB3rIDkDJbMFFT98hBHwkj76HFwdemPLaIEtvQUoClHVjj+pffXBTNg766eAou5dHtw0UDQd38q51cuG79OnJaXj9bRhx84omx2jaT1qHLl6Fda3z+0O4uu+XVTdziGFvYqCotUdMCm6jtXAGsyKeoBlvjUd0/qV18Tbh2VVz1CnunRSXfrexiNJOcAXYop64H4hhBCimZFguglFowaeY4ZQMefduP2erkMpm/0OOWfeTMmXrxDa+nNNn6LbyTn9RhTdTtFHj2H49qZV6OktyDn3jvjn1Fy4uwzBv+p7AHxrFuLpPoKqHz+v3mB3IK06PTDxVm5/YTFF5YGa/bPSnNx9zi0E5rxAUvcRhArWxz2Po20PvIcwixxRnCT3n0DJ9Kfi9Co4WnfbvULcoVOTs1DszprUln0l9x5HWHPDr7sqXmI5U9CS0jG8sbna7i6DiWoueTBQCCHEUUOmgJpY1JFG6qhzY9rdnQdiRULYczsQKlhfK5AGsKJhIqWFlHz5cq1AGiBaVkD516/g0GIjkJChkTb6ArSULAACG37C3bEPtqw2tbbT+57MUzMKawXSAMXlQZ6cUYjVtj+qw42zfa+Yc6SPv5ywfmh1eg3DxNauN852scfLmPB7wlrSIR1vXwHVQ/apf6qVEw5gy2yNZ8BEIhJIJ1RA8ZB12k0x39JoKVmkjr6QkHGAbxaEEEKIZkaxGqOobwKVlHhjVvg7krKzkykqqjqsYzjUCHqojMCa+RAJ4srvhxkOYHgrcLXrQcFrd8UEzAA5Z9zErvf/Hf+gikreFY/gU2LL1CmKghsv0V0bCW1ZgS2nHa623YmUFhLY+BNaSha+dqO45t/f1Tnmx6/tR54zDM4UjIpd+NfOR3Uk4TpmMBF7CmGzYTmubjUIlYX41y5Ade4+ni2VsHl4X5roqoXTqCC4fjHRil04O/RBy2qH33I1ehZDY9wTvzaaCi6zktCmpURKtuNo0x09tyMBJalJ/z4fSXJfiP3JPSH2J/fE0UNVFTIz40/0SZpHI9A0BYfpQwlVVeebOpMJqh4MA3QNHKYXK1CFoulYjmSCuAjZctD7nIqqgjdq4gsZmEkWuUqIrJOvw4oE0ZPSMcJhrGBVdc6yeoAvEiyzujSetnvBEsvCG4wSiZoku+2gJ6Hk9sLWsg+maVFpmCgZqdhyumFZFiFv7IqI+zLsKVTZNDBASW6HbXBHLMvCFzU5tGTp2vymEyW5PbbB+Y1yvD2ipoJXSUPvehw2RSFsmL+YIO2XwDDBSwpa/mhsnRUihknItI58vrYQQgjRyJpFMP3EE08wffp0AMaMGcMtt9yS4BHVn6aC07uNoqkPY1QWA9Vl7bImXYuS1ZHo5h/Z+eVLWOHq9AlbVmuyTv0TflsmhmHiDZs8/MZiTNPg5glZlH74JNGKourjuJLJGHcR/rWLCG5ZQe65d6A6PZhBX8w4bJmtsGwuVBSqQgYPvbaILYXVn3ZdDp1LJ3VnQJdszMjeVBDLsojs/t3t0MlMdVJSEZtnnJnqxLXPAh+WRc1+jaGxj7ev6C9sSexfGsMwj+giLUIIIcSRlvCc6blz5zJ79mw++OADPvzwQ1asWMGMGTMSPax6c5mV7HzjbzWBNFTXM9717gNowVJKPnu2JpAGiBRvY9ebf8NleYmYFve9tIC1W8u55sTWRD55oCaQBjADVRRPe4bkPmMxIyFKZ75M5gm/jR2EopJx4u+rZ7wNi7ue+6EmkAYIhKI89f5SdpT4UZT4lSycuso1Z/Rm/25FgavP6I1TT/itIoQQQgjR7CQ8QsrOzua2227Dbrdjs9nIz89nx47YhUGaI11XCW5YjBWNkyJhmVT9+AXujn1jugxfBUbZDip8Ybbt8tImNxlX6RqsSOysMJaJ7+e5eDoNJLRtNYavgrwL7sLVsR96eh7ubiNocekDRFLaYFkWhaV+SivjHAd484vVdWZQGIZJ+7xkHvrDKIb2zKNFpoehPfN46LpRdMhL/tUvcCKEEEIIEU/C0zw6d+5c8/OmTZuYNm0ab775Zr33rysZ/EjKzt5buaKoaEud20XKd2JLz43bZ3pLKLe1ACA9xYFavq7u41Tswt15EM4OvdCT0rFltKhecCUSAt0GoQA6YTRnEj9tCNV5nMJSP5pNI02PYAS9oChonlS0fVZXzMmCmy4YQCAcxWXXcToSfoscFfa9J4TYQ+4LsT+5J8T+5J44+jWbSGnt2rVceeWV3HrrrbRv377e+yWymoemKdjbdIclM+Nu62iRT2hH/CDZTM5FDVXnVBQU+zD6dgI+j7tt2vAzCBdtpXz2OxjecmxZbUg/7hL09Dwqv3kD3/JZWKaBq1N/ho66gPdyPGzbFZtXPaRHDp5QEbs++x+B9YtBVUnqPoK0EWdRRUrM61gVjCDPGB+cPI0t4pH7QuxP7gmxP7knjh4HquaR8DQPgEWLFnHppZdy0003cfrppyd6OPVmGBb2Vl3QPGkxfYrdiavHaIJbV8b06VltWFGksWF7Bb07ZVJUFqDc1QotOSNm26Te4whsWkrZ1//D8JYDECneyq637iG8fRWhrT9jGRGwTAJrF1L8+l+4/cwOMcdRFbhkdA6Fr/6FwLpF1dU/jCjeZbMofOtekqg87NdDCCGEEOLXJuHBdEFBAddeey3/+te/mDRpUqKHc8j8SjI5F/wNV8e+QPVMs71lF/ST7+CV70qwn3I7tuzdC6SoGp4eIwmP+QNPfLKJH5YXcO2kjkwY1ILHP92CdeItODr2rzmOo2UnUgdOoHLhZ3HPXT77PZL7nVCrzQz6cG9fyEUTuqCp1cdpk5vMv28YSXDld5hBb8xxomWFRAo3ostDhkIIIYQQhyThaR4vvPACoVCI+++/v6btvPPO4/zzz0/gqOrPNC18aiqeE68jNerHNE2m/1jMh29sptIXZv5qF2cPv4x2Q3RMVOzZ2dzy6FwiUZPW2W7UBa9xTvvunDa8H4YFnuFnkz5kEqrdhWJ3VQe/ZvzaYdGyAvSk9Jj24KYlnHTKiRzbrxW6FUbV7TiVKGWbl9d5HYHNy3C1G3BUlZKz66BhoKgKhqkQNhQpUyyEEEKIJpXwYPrOO+/kzjvvTPQwDotlQcjQCSkphBSLN2f9RHh3UFpUFuDJTzfWbPvon/KI7q6MkZvuJG3AmRhVJRjzXgFfBWbHvtCmG7umPoqn23Dc3UfWeV7F7sIyYtfGdrTsgsPwEl72LcHNy9BTc3AOmoS767C4aScAeloONsNPSLU3+8VNbKqJI1xK1bxpRIq3Yc9uS1KPkWiqA9OTSdC0H/wgQgghhBCNIOHB9C+Ny6Yxfkg7PpmzMaavZ34mHqfOoG657Cj2cVI3Hf+a+ZTPfqdmm9D2NajuFHJO/SOqO4WoLQlHi06ECmIfZEzuPRbvz7NrtSkON0k9hrP9pT9jhfw1x/T9PJusSVfjbN+L4KZltQ+k6bg79qNgyk3kXnQPXmKXJG8uNE1BL1lHwTv3V+d9U3193mWzyD71BqJbV+DoOoZQA5c3F0IIIYQ4FJIk28hMw+SUUR0Z2jOvVnvntmlcd1YfNMvi8lN6cuWJbXAafsrnvBd7DH8l3uXfYhpRIqqLzFNuwJ7bvtY27u4jSe53AqEd62vaFN1Ozql/pGzWmzWB9L5KvphCxpjzUPS9M7eqM4mcyX8gUlGM6a+kat6H2PXmOzPtNH2UTHuyJpDewzIilH33NmBhi8bmhQshhBBCHAkyM30E6Fj8bnIPLjixK1W+MB6nDY9TR1csLAtsWHTOtWGW+LBntyFaVYIZqB0A+lb9gPuYQWiubLwkk3b6n1FDlVgh/+4Z62T8io288+6oXjXRMkFRQYHAhiVxx2VFQhi+CrInX1edm6KoWNEQ5d9/SProc3F3HkRwy0qShgYI4457jIbSNBXLsg47hcQKVdVUNdlfpGgLtrQcwoXrUVsPavbpKkIIIYQ4+kkwfYQolkWSTSUpzbm7xap5OE5VFXTdRkS14crvhy2jBYqiUvr1axi+8ur9ddvegNeCgOUAWzbsyV4wQFUhXLaL4qn/qTlv9inXg6ZBnFxqAMuIsuuD/8S0q64knG26kTb8dBTFQFMVDOPwg1G3GgRvEaHta9CTM7DndSKgJtPQBRUVRTvYBii6Qx5EFEIIIUSTkGC6iSmKgjtaRuEbd9cEzgB6SjbZJ1/Dzg8exgoHSOp1LGpSGiFTBeJHhqZpYcttD6pWU/HDv/5HPF2H4lsxO2Z71Z2CFYldIdHZrif+VfOomP8xAGkjz8bdbQQ+Lf2wZneTtAClHz1KaPuqvdev28k5905CyW0bFFBbjmRsma2IlGyPvY62PQgVrMfd+zhCEk0LIYQQoglIznQTcypBSj55rFYgDRCtLKJi3ick9xmHPac9ni6DUW0urIMEhSE1iayT/8Ce2tS+VT+Q1GMUenrtnG1Fs5Fz2o1ULJ5Rq11LSiNt6ClU7bOKY/nsdzDKC3FasXnX9aXrCv6lX9UKpAGsaJii9x7AacWu0FgfQZxknXIDqqN2GormSSNt2KnY8joTUpt+iXkhhBBC/DrJzHQTUyM+woUb4vYFNi0lfeyFJPc+Fv+GnwgVbMQ17veE42dsABAxVWwte9HiiocJrF+E6asAm5vcc+8kXLyV0Jaf0dPycLTvRUhLIWPS9ZSuXYpWsR1PXhtUu4ui6c9i7vfAon/9YpLTWwKuBl2n3fBR9GP8xWbMoA/LWwIezyEf1zQt/I5cci95kMj2nwnv2ow9uy227DYojiRM1UPElM+IQgghhGgaEkw3tTpymfcwQ37KQyqutgPwtO6B6i3A7kohoCRh1JFyETE1ImoaercT0BWFQNTAMkHN6o6e2xPTtPAaJhjgt5J46HsHY/oOZ+SWL/AunxX3mFY4QF3pJfWhYGGFg3VfZ5x0k/oyTQsvSWhth6C3HwaqQtAwqxecOXrWnBFCCCHEL4AE003NkYTmScXwVcR06el5ePU0CJRR+cF9GJXFQHX5usyTrkbL6Ub4ALOu+69eaJoW5n6rJ9o1lTZ5SXw+fxujx/eEOoJpZ/temIqtwfF0VHXi6jQA/+ofYjsVFT01p2EH3odhWBhG/NUhhRBCCCGagnwf3sSCqoeME69kT45zDUUl/YQr8AcNQp88UBNIA5hBL0Xv/wtbqOSwz2+ZJueMO4YKb4gCW2tsWW1itnG0OgZbZmtCasPL44UMjdRR56LYnTF9qSPOIqwdeoqHEEIIIURzo1gHe8KtmSsp8TZpPeHs7GSKiqoO6xh21cAW2EXl9x8QKd6GLbc9qYMnM3szdDHWEP3uxbj7JfUeh2Pkbw6YQ10fqqrgj5jMXLiVcd08JBctwbv0GxRVI6nnKFwd+xHUkgmbh/fFhaqC26jA++NnBDctRfOkkTL0NKyMdr+oJb8b454QvzxyX4j9yT0h9if3xNFDVRUyM+MXOJA0jwQImxqmpxXKsVejmRaaBmEN1hRspLtjB3XFypHS7TjNKIf6x6aqCg6CqGYEFJWQ6sGpKUwe3o6wYWFmHE/WMcPBMjF0F1URZf8FBhvENMGrpGIbfA7OgadiqTpB04Yli6kIIYQQ4hdCgukEMBWFBauLeP2L1ZRUBMnNcHPxce3o1zkTI9gJ+Dzufo7W3TFUGxxCMGpTDWxV2yj78iXCOzeiOj0kDzoZT8+x+AwnOmBGTbzsTscIH/717S9iKERwggGH81CjEEIIIURzIznTTUzVVGYv3cHj7yyhpKK62sXOUj//emcllb4IofR8tOSMmP0UmxNPr2OJRusfjCqKgt1bwM7X7ia8cyNQXZau4ru3qPzmVZxqpHEuSgghhBDiV0qC6SYWiJi8OWNN3L5XP1uN3ZOEPuk27PkDQan+43G06UreRf8goKUe0rkcSoiyr14h3mywf+Uc9IjkaQkhhBBCHA5J82ggVVWwKUZ1nrFqjylLVxd/MEIwHL+cW6UvTKS0EK1sHe7jfk/6uCAKYGhOfJbjkHONNaKECtbV2W94S9AyMjEMSb0QQgghhGgImZluAJcawl68Ct/0R6j6+EGUtbNIUnwoinLQfR12jbo20zUF3YoQnvMaTiuIX0nBp6QQNO0HXVY8HstS4qaM7KGYBsrab0hS6zd2IYQQQghRm8xMHyLDX4Vv7lv4ln5V0xbavgY9/VOyz/0LXuvA9ZM9Dp1B3XOZv2JnTN+x/VtjL/gJrcdIorpn9wN7DRfWPKQOP5PSz56J6dPT84hWFlP25YvoC6eRfd5fDzp2IcSvh2FEKSsrIho9Ak8l/0rt2qVimnV/i6mqGi5XEklJqTLBIcRRRILpQxStLKoVSNe0lxUSWD0PrevxGEbdb5YR1c/EcZn4gmFWrC+rae/fNYvhQzwowWNIyemE19AOf6xRE3f7/iQPnETVounsqXdny2xF5vGXUPTpk9Xble8k8PNs9J4TDukBRyHEL1dZWRFOpxuPJ08Cu0ai62qdKYGWZWEYUaqqyikrKyIj4/BXiRVCNA0Jpg+BpqkEt6zFnteBaHkRZtBbq9+/YhapXUZiUPeCJAEjwKMLn2DSsImcdnx3QmFwOBTWV67m3TWzuGHoZXjDrkYbs9904Bh0Bkn9xmNW7sKKhIhWFlP0yZMYvvKa7Xw/f0datzFEiV2xUAjx6xONhiWQbkKKoqDrNtLSMtm5c1uihyOEOAQSTNeTqioEoiYbrM7syM0mv4+LXKUE45vnaoJqRbcTs0z4biZQGYgS1g1CRpj310yt6Tu+3Vj6ZA7AKm3NvJ+q6NvJiduhoTbSJHHI0IjqaaiVKymd/nTcbRTdVl09RCamhRC7SSDd9BRFRd6IhTi6SDBdD6qqUOIN89dnv8cX3Ls+YescD7efehvmh3eDESVp4EmEsbP/G6EBvDVzHV8u2MIlp+TTJrUlWyt2ADApfwKhHW24553ltfY5f3wXjuvfGrWR3lQNw8LVuivVwX7sMZMHnEREcVId9gshhBBCiPqQah71EDIs7n91Ya1AGmDbLh9vL6jA0XUUrk4D0Vt2w9yvfJ2qKmze6eXLBVsA+Pib7ZzX5Tw8djcO3UFHd3c+nrU15pxvfLGaUm+oca9DSyZz0tUx7c6O/bC16XnAXG8hhBBCCBFLZqbrwRuIUFQWiNs3e9kuzr/xPJLt1fnJ+7MUhU9mb6z5vbQyyAtvbeaKU69GdwWZ831FneeduXALF4/vQriOutSHKmJq2Nv0p8UVDxNY/yNm0Isrvz+WJxufKbnSQoij01lnTaa0tBRNqz0/dMcdd3PsscclaFTxzZnzHQ8//CDvvvtxoocihGgkEkzXQ/QAi5pEDQtDsRMw68iVNi0C4doz2tuLfNz//Aomj+xAIFj3bLA3EMFLFVHVwoo48fmjuBw6HqeNcNSg0hfGadPwOG3oikV9SlGHTZ2wmo7e7QQ0FAKGUa/9hBDiUHy/opD3Z62npDJEZoqDM8bkM6xH3hE73z/+cT8jRow6YscXQoi6SDBdD6keO067Fnflwq5t07HrKnVFpDZNYUy/VqzeXFarXdcURndNprjKyQ/LC+Lu279HKuuLdrBwYYRZCwvYk0HSs2Mmp43J56HXFhEKG3RqncZNF/THqdU5jBj1XbFRCCEO1fcrCnl5+irCu99nSipDvDx9FcARDajjWbDgB55++r9s3bqFli1bceWV1zBs2EgARo4cyOmnn82MGZ9xzjnn88UXn/Hmm+8D8Mwz/2XatI+YOvVzAF599UU2b97EnXf+jXfeeZOPP/6AnTsLsdsdnHbamVx++ZUxx7zwwt9wzjkX8MgjD/HVVzNISUll9OixTXr9QogjT3Km68GhK/zutF4x7TZd5YrTenKgitDRqMmArjm0yKy9IMqEgS1I+flD2mlFdG6dErNf57appKSZrFkFXy/YG0gDLN9QwtRvNzB5ZEcA1m0r54FXFxK15Ml7IUTivT9rfU0gvUc4avL+rPVNOo4NG9Zz66038Zvf/JZp02Zy5ZXX8Je/3Mb69ev2jisc4uOPv+Cccy5g165CCgsLAVi0aAFer5fNmzcB8MMPcxkxYhRLlizmlVemcO+9D/H557O4554HeOml59m2bWvMMc888xyef/5pNm7cwFtvTeWZZ15g4cJ5TfoaCCGOPJmZrgfLtOiTn8k/rxnB+1+vY2epn67t05k8siNJDg3LPPB0sF1RuPuKIXy/vIBvftyO3aZx9tBMyv83F2X9Qv504o0sKc5gxpIyUGB8nwx6ds9lY0UhX8zdEfeYy9YXc/LIDjW/byqopCoQIc0lf6RCiMQqqYz/8HRd7Y3h7rtvR9P2Tm2MHDmG3Nw8Bg4czJgx4wAYNmwkI0aM5osvpnP11X8A4Pjjx2Oz2bDZbPTtO4CFC+cxduxxFBYWMHLkGBYvXkhGRiarV69kyJBhqKrGCy+8Sk5OLqWlJUQiERwOB8XFRbRu3SbmmDNnfsGf/nQLaWlp6LrKhRdewrPPPnnEXgchRNOTyKueVMuiVaaLq87oTSgcxWnXiBomgYiJrik4NLVWNQyHQ0eLloMZBVXD4UhnbN9WHNs9Ff/SmTiiaegn/AHTkYzpL2Ng+Y/07l39Rqys/4hAm7NRSCEQitYxIojsN/PjC0owLYRIvMwUR9zAOTMl9iHtxnL33ffF5Ew/+OC95OXVTivJy2tBUdGumt8zMrJqfh4xYiQLF84nLS2dXr1606/fABYvXkhKSho9e/bG7fYQCoV46aXnmTXrK9LTM+jSpRtArWXC9z1maWkJWVl7VzPMy2vROBcshGg2JPKqJ0NR+G7xDt77eh1njetMKGLw6eyNlHtD5Ga4uWRSd45plYIKOPUA0a2rKP/mTaLlO9E8qXiGnoq761AUzcDvTuW7AhdvfFlAaWUZ2ekuLjr2JDoHlhKZ/w6qw40PE1+0iqw0J8XlwZjxaKqCTa+dpZOWdOT+oRJCiPo6Y0x+rZxpALuucsaY/CYdR25uHitWLKvVVlCwg+zsvcHtvuvSDBs2kpdfnkJmZib9+g1gwIBBTJnyLA6Hk+HDqwP1t956jY0b1/PWW1NJSkoiGo3y1Vczap1j32NmZWWzc2cBXbtWB91FRUWNfJVCiESTnOn6UBWmfreBFz/5md6dsigqC/DaZ6so310HemepnwdfXcjKLeW4XDqRLcsp+/BRouU7ATB8FVTOfIWqRZ9jOJP5wd+e/77/M6WV1UFyUVmAhz9Yy3KtB/ZWXUgddQ5f7VzBV9tmcsbxbeMOadzANsxbUVjz+4g+LXDbD5S9LYQQTWNYjzwumdi1ZiY6M8XBJRO7NvnDh8cdN54ff1zIrFlfYRgG338/h9mzv+X448fH3b5ly1akpKTy2Wef0r//QNq0aYuu63z11YyaWW+fz4eu27DZdPx+P0888QiRSATDiP8t4oknnsRLLz1PcXERJSXFvPbaS0fqcoUQCSLBdD0EIibT5m4CYESflkz/flPc7V769Gd8/iBVs96I2+9b8CmV/ihvfb0xbv//vtmGNvZqbJ2Hc3aPyWS50inSVnHl2V3ITnMB4HHZuODErvTomMnXi7bicuicObYTl57UHUVq3AkhmolhPfJ46JoRTLltHA9dM6LJA2mA1q3b8M9//ouXX36BCRPG8uSTj3LXXffQrVuPOvcZPnwEiqLSoUP1LHr//gPJy2tBq1atATjvvAvRNI2TTx7P+eefTjgcolevPmzatCnu8X7729/Rp09/LrroHC699CIGDhzS6NcphEgsxbKO7gispMQbs+pgY9tVGeK2J+cAcPOFA/jXa4vq3Pa/fxpJ9KXf19lvXPgUf3r8+zr7H71xDClOHbtmoBDBrwMWGGE70YiFpql4HCqBkEnEMNFUFZdNldULEyg7O5mioqpED0M0M0f7fVFYuJm8vHaJHsYviq6r9SpLKq/9r8fR/j7xa6KqCpmZSXH7JGe6HlyOvS/T/nnK+3LYNWw2FUO3Y0XDcbdx2nUUJX49aF1TcdgUnGVrqJr/MUbIh/uYIbi6DsevOLHp1TtFwia6Uv3GDEggLYQQQgiRIJLmUQ8ep07XtukArNlSRu9OWXG3mzisPUkuO66+8ZevdbTvRbJLZXD33Lj94wa2xlnwE7vevpfApqWEC9ZTPut1dr3+V9yWfHIVQgghhGhuJJiuBw2LP57fj85t0vh0zkYmj+pIt/YZtbYZ1bclk4a3Jxg0SR18Ms6uw2r121t3IWPi7/GFLcYNbEuv/NoB+cBuuZw9pj0V0/8bc36jqhTfTzOwyfOFQgghhBDNiqR51INlgUOFWy4aQDBi4A9EueHcvgTDBoFQlCSXDbddq3kA0Bv1kHrcpaSOPAszUIXqdIMzGb/hZt3WEh5/dxmnjs5n8qiOhCMGdpvG5sIKIuvngxm7ZDmAb+UcMvtOIIKrKS9dCCGEEEIcgATT9WRZ1TPU7Vuk1jwsYHdopDi0vRvswx9xgOoAT2Z1Q6S69qjDrhGKGLw9c02t7TNSnIycaK/z/KrNAchy4UIIIYQQzYmkeTQhy7Jok5uMrsW+7KWVQZx5HUCNn8uRPGACEc19pIcohBBCCCEOgQTTTcxp07jlwn6oau1Z5u7t09A9qWSd8kdQav+xONv1wt5xYL1KKgkhhBBCiKYjaR5NzDQsurRJ54k/jWbJml2UVQboe0w2eRluDHTI7U6LK/5DcNMyTF85zg59IDkHn+lM9NCFEEIIIcR+JJhOAMMwceoaI/u0RlUVolEDw7AwTQsTjYiShtZpDKoCAcPEkglpIYQ4oPXr1/HKKy/w008/4vP5SElJZdiwEfz+99eQmpp2RM9955230KFDPpdffuURPY8QonmSNI8EikQMQqEohhG7gothmESjZtzFXYQQQuy1fPkyrrrqMtq378irr77DjBnf8cQTzxIMBrnxxus4yhf6FUI0czIzLYQQotGF184lvOA9LG8JSlIm9kFnYu88/Iic6z//uZ+zzjqX3/72dzVtLVu24s9//ivPP/80VVVVXHbZhdx44y2MGDEKgCeeeISKinLuuONuKirKeeSRf7Fs2RLKykpp3boNN910G71792XatI/55JOpRCIRduzYxjPPvITf7+Ohh+5j48YN9O8/kFAodESuSwhxdJCZaSGEEI0qvHYuoe9ewvKWAGB5Swh99xLhtXMb/VyFhYWsWbOayZNPi+nTdZ2rrrqOlJSUAx7jyScfA+C1197hs8++oVevvjz99BM1/cuWLeHKK6/lrbemkpOTy2233cSxxx7HZ599w+TJp7F48aJGvSYhxNFFZqYTSNEUgpHqVA6HTUW1LEnrEEIc9cIL3oNouHZjNEx4wXuNPjtdXFwEQHZ2Tk3b008/wYcfvgtAJBLh//7v9gMe4/e/vwan04mm6RQU7CA5OZmioqKa/szMLAYOHAzAokULCIdDnH/+xaiqyqhRx9K//8BGvSYhxNFFgukEUBSFoGHx2vSVzF1WgGla9OmcxWWTe5Di1LFMiaiFEEevPTPS9W0/HOnp6QCUlBSTl9cCgKuuuo6rrroOgMsvvxjTPPBT3MXFxTz66L/YtGkj7dq1Izk5FWufJ78zMjJrfi4pKSEjIxNV3fvFbosWLRvteoQQRx9J80iAsGnx1+e+Z/aSHZi7A+cla4u57b9zCEgtaSHEUU5Jyjyk9sPRqlVrOnbM59NPPzrgdqqqEo1Gan6vrKyo+fmuu25n1Khj+fTTL3nqqSmMHXtcrX0VZe+6AFlZWRQVFRGNRmvaiop2He5lCCGOYhJMNzFVVVi/vYKiskBMXyAUZdaP29HirJAohBBHC/ugM0G3127U7dXtR8Att9zJ22+/zosvPkdpafXsd0HBDh5//D+sW7eG9PR02rRpx5w532EYBmvWrGLOnG9r9vf7fbhcThRFYdOmjbz++iu1guV99e7dl+TkZKZMeZZIJML3389hwYJ5R+S6hBBHB4nampimqSzfUFpn/7L1xRiSOC2EOIrZOw/HMerSmploJSkTx6hLj1g1j549e/H8869SULCDyy+/mOOPH8lVV11GSUkJzzzzIsOGjeSqq65l48YNTJw4jsce+w8TJ06u2f+WW27n9ddfZfz4Mdxxx/8xceLJlJeXUVFRHnMuXdd56KFHWbx4ERMnjuV//3uJ4cNHHpHrEkIcHRTrKC/AWVLirUmVaArZ2ckUFVU1eH9NU5mzopBnP1wet/+4gW34zYQuGJLucdQ43HtC/DId7fdFYeFm8vLaJXoYvyi6rhKtx3u7vPa/Hkf7+8SviaoqZGYmxe9r4rH86hmGSd/O2dj12JdeUWDSyA4SSAshhBBCHCUkmE4Al03l7t8NJS3JsbfNoXPTBQNIc9kSODIhhBBCCHEopDReAlimRct0Fw9cO4KqQATDtEh123HoyiGXxdM0FUWhXl8dCiGEEEKIxiXBdAJomoLLrMJWtAHHrs3Y8zqiJbcnQBL1DqU1k4DiY+nOlfgjAXrndiPdno4akZltIYQQQoimIsF0E1NVBVe4hJ2v34UZ2PvQgZaUTs75d+NTUw++CqJmsKJ8JU8teBVrd/j97s+fMrBlby7pdQ5qxH6QAwghhBBCiMYgOdNNzEGQko8frRVIAxjeMsq+eA6HEqljz72CSqBWIL3Hwh1LWV22Dk1T6thTCCGEEEI0Jgmmm5ga9hLetTluX3DzcrSo74D7a5rCqpJ1MYH0HtPXfU20HgG5EEIIIYQ4fBJMNzXTOHC/dbAHCRWC0VCdvWEjgok8jCiEEEII0RQkmG5qjiS0pPS4XbaMllg29wF3NwyTblmd6+wf0WYgdhx19gshhKi/ysoKfD5voochhGjGJJhuYkHVQ+bEq0HZ76VXNTImXkUQ10GPkaylMKb9sJj2bHcGQ1sNwIge1YtaCiHEIfvhh7nccMPVnHTScUycOI4//ek6Vq36+bCPe/75Z7BzZ2EjjFAI8Usl1TyamGFYRDPzaXHpA1Qu+JhI0VbseR1IHjiJoC29Xkujq1Gds7qczKCWfZi2diaBaIgRbQYyqGUfbBF3nfnUQgjxS/TRRx/w/PNPc+utdzJkyDAMw+D999/h+uuv5umnp9CxY36Dj11RUdGIIxVC/BJJMJ0AEVMjYsvGOfq3uM0IpmrDG1U4lFRnNWIj353Pdf3bY1oGuuXACJsSSAshmoX5hT/y0frPKAuVk+5I45T8CQzO69/o5wkGgzzxxCPcddc9jBgxCgBd1zn//IsoLy9j8+aNtGrViqeeepxvvvkKy7I44YQJXHnltdhsNl544Rm2b9+G11vF4sWLyM3N4/rrb2Lw4KFcdtlFAPzud5dw1133Mnr0sXzwwbu89dZrVFZW0qdPP26++TYyM7P48ceF/Pvf99OiRUtWrFjOvfc+SP/+Axv9eoUQzY+keSRQOKoQNO2Eow0rZWeaFlZERYnaMAx56FAI0TzML/yR11e9R1moHICyUDmvr3qP+YU/Nvq5li37CcOIMmRIbOrb1Vf/gbFjj+eJJx5l8+ZNvPzyG7z00husWvUzr7wypWa7r76awTnnXMC0aV8xdOgIHn74QQCmTPkfAM899zKjRx/LV199yauvvsh99/2LDz6YRsuWrbjrrttrjrN58ybGjj2eDz6YRu/efRv9WoUQzZME00IIIRrVR+s/I2LWLtEZMSN8tP6zRj9XeXk5yckp6Hr8L1oty2LatI+4+uo/kJqaRnp6OpdffiUfffRBzTY9e/Zm4MDB2Gw2xo+fwLZtW+Me65NPpnLuuRfQsWM+DoeDq666jp9/Xs6WLdXlTlVV5YQTJuB0OuscjxDil0f+tgshhGhUe2ak69t+ODIzs6isrCQajcYEsJWVlRhGlFAoxB/+cCWKUv0toGVZRCLV7QBpaWk1++i6jlXHMrS7dhXy3HNP8eKLz+3TqrBzZwGappOUlIzdLivQCvFrI8G0EEKIRpXuSIsbOKc70hr9XD169MJm0/nhhzmMHDmmVt/99/8Dl8uJzWZjypTXaNWqNQCBQIDS0hIcjkMrI5qZmcV5513EySefWtO2adNGWrVqzbJlS1Bk8VkhfpUkzUMIIUSjOiV/AjbVVqvNpto4JX9Co5/L4XBw5ZXX8eCD9zF37myi0Sh+v48XX3yOhQvnc+GFl3DCCRN4+uknqKqqIhAI8NBD93HvvXfX6/g2mw2fr3pl2gkTJvHmm6+xbdtWTNPk3Xff5MorLyUQCDT6dQkhjh4yMy2EEKJR7ana0RTVPADOOONskpKSefHFZ/n73/+Cqqp0796Dxx9/ho4dO/HHP97Mk08+zsUXn0MwGKRPn778/e//rNexTzppMn/84zXcfPOfmTBhElVVldx88/WUlpbSrl07HnzwUVJSUo7IdQkhjg6KVVdy2FGipMRbr9rMjSU7O5mioqomO59o/uSeEPEc7fdFYeFm8vLaJXoYvyi6rhKNHrzykrz2vx5H+/vEr4mqKmRmJsXva+KxCCGEEEII8YshwbQQQgghhBANJMG0EEIIIYQQDSTBtBBCCCGEEA0kwbQQQoi4jvLn049KlmUCUrBaiKOJBNNCCCFi6Lodn69SAuomYlkW0WiE8vJi7HZnoocjhDgEzaLO9Mcff8xTTz1FJBLh0ksv5cILL0z0kIQQ4lctPT2bsrIivN7yRA/lF0NVVUyz7tJ4qqrhciWRlJTahKMSQhyuhAfTO3fu5OGHH+b999/Hbrdz3nnnMWTIEDp16pTooQkhxK+WpulkZbVI9DB+UaSmsBC/TAlP85g7dy5Dhw4lLS0Nt9vNiSeeyGeffZboYQkhhBBCCHFQCZ+Z3rVrF9nZ2TW/5+TksHTp0nrvX9dqNEdSdnZyk59TNG9yT4h45L4Q+5N7QuxP7omjX8KD6XgPtyhK/Z9kluXERaLJPSHikftC7E/uCbE/uSeOHs16OfHc3FyKi4trft+1axc5OTkJHJEQQgghhBD1k/Bgevjw4Xz//feUlpYSCAT44osvGD16dKKHJYQQQgghxEElPM0jNzeXG2+8kd/85jdEIhHOOussevfunehhCSGEEEIIcVAJD6YBJk+ezOTJkxu0r6o2/UpRiTinaN7knhDxyH0h9if3hNif3BNHhwP9OSmWLG8lhBBCCCFEgyQ8Z1oIIYQQQoijlQTTQgghhBBCNJAE00IIIYQQQjSQBNNCCCGEEEI0kATTQgghhBBCNJAE00IIIYQQQjSQBNNCCCGEEEI0kATTQgghhBBCNJAE00IIIYQQQjSQBNNCCCGEEEI0kATTh+Djjz/mpJNO4oQTTuC1115L9HBEM+H1ejn55JPZtm1boocimoEnnniCSZMmMWnSJB588MFED0c0A48++ignnXQSkyZN4sUXX0z0cEQz8sADD3DbbbclehjiMEkwXU87d+7k4Ycf5vXXX2fq1Km89dZbrFu3LtHDEgm2ZMkSzj//fDZt2pTooYhmYO7cucyePZsPPviADz/8kBUrVjBjxoxED0sk0Pz58/nhhx/46KOPeO+993j11VfZsGFDooclmoHvv/+eDz74INHDEI1Agul6mjt3LkOHDiUtLQ23282JJ57IZ599luhhiQR7++23ueuuu8jJyUn0UEQzkJ2dzW233Ybdbsdms5Gfn8+OHTsSPSyRQIMHD+aVV15B13VKSkowDAO3253oYYkEKy8v5+GHH+aqq65K9FBEI9ATPYCjxa5du8jOzq75PScnh6VLlyZwRKI5uPfeexM9BNGMdO7cuebnTZs2MW3aNN58880Ejkg0Bzabjccee4wpU6YwYcIEcnNzEz0kkWB//etfufHGGykoKEj0UEQjkJnperIsK6ZNUZQEjEQI0dytXbuWyy67jFtvvZX27dsnejiiGbj++uv5/vvvKSgo4O233070cEQCvfPOO7Ro0YJhw4YleiiikcjMdD3l5uaycOHCmt937dolX+0LIWIsWrSI66+/nttvv51JkyYlejgiwdavX084HKZbt264XC7Gjx/P6tWrEz0skUDTpk2jqKiIU089lYqKCvx+P/fddx+33357oocmGkiC6XoaPnw4jz/+OKWlpbhcLr744gv+8Y9/JHpYQohmpKCggGuvvZaHH35YZp0EANu2beOxxx7jjTfeAGDmzJmceeaZCR6VSKR9K7q8//77zJ8/XwLpo5wE0/WUm5vLjTfeyG9+8xsikQhnnXUWvXv3TvSwhBDNyAsvvEAoFOL++++vaTvvvPM4//zzEzgqkUhjxoxhyZIlnHbaaWiaxvjx4+UbCyF+YRQrXjKwEEIIIYQQ4qDkAUQhhBBCCCEaSIJpIYQQQgghGkiCaSGEEEIIIRpIgmkhhBBCCCEaSKp5CCGEEEKIXzSv18t5553H008/TevWreNus3LlSm677baa30tLS0lNTeWTTz454LFlZloIIRrJuHHjePLJJ+vVFwqFeOyxxzjxxBPp2bMnQ4YM4eqrr2b58uU122zbto0uXbrU+q9Pnz6ceuqpvPbaa3FXZt1j3rx5dOnShZ49e1JVVRXTv2vXLrp160b37t3jjvHxxx/nhBNOqDWOPQtXXXzxxdxxxx2H8MoIIUTiLFmyhPPPP59NmzYdcLtu3boxdepUpk6dyptvvklqaip33333QY8vM9NCCJEAt99+OytXruSOO+6gY8eOlJeXM2XKFC666CLee+898vPza7Z98skn6d27N5ZlUVVVxddff83999/Ptm3buPXWWw96rpkzZ3LaaafVavvss8+wLAtFUWra3n33XZxO50GP9/jjj6Pr8s+HEOLo8Pbbb3PXXXdxyy231LR9+OGHvPzyy5imSY8ePbjrrrtwOBw1/c888wyDBg1i4MCBBz2+zEwLIUQT83q9fPrpp9x8882MHj2a1q1b07NnTx566CEyMzN5++23a22fmppKdnY2OTk55Ofnc8UVV3DTTTfx0ksvsW7dugOea+jQoXz++ecx7dOnT2fAgAG12jIyMnC73Qcdf1paGklJSfW4UiGESLx77723VlC8du1a3n77bd58802mTp1KZmYmL7zwQk1/ZWUlb7/9Ntddd129ji/BtBBCJICqqsyePRvDMGraNE3j5Zdf5ve///1B9z/77LOx2+1Mnz79gNtNmDCBOXPm4PV6a9p27tzJ8uXLa9I49jhQmsq+9k/zWLhwIRdddBH9+vVj+PDh3HPPPQQCAWBvisjnn3/O6aefTs+ePTnxxBP58ssva/b/6aefOO+88+jbty9Dhgzh//7v/ygvLz/oOIQQoiHmzZvH5s2bOeecczj11FOZOXMmGzZsqOn/+OOPOf7448nMzKzX8SSYFkKIJpaUlMQFF1zAa6+9xujRo7nlllt455132LFjB61bt67XG7jH46F169asWbPmgNsNHToUl8vFrFmzatqmT5/O8OHDSUlJOexrWbJkCZdeeim9evXi3Xff5Z///CczZ87kxhtvrLXdgw8+yI033sinn35Kt27duPXWW/H7/RiGwdVXX82wYcP45JNPePbZZ1m2bBkPPPDAYY9NCCHiMQyDiRMn1uRHv/POO/z1r3+t6f/yyy856aST6n08CaaFECIB7rzzTh566CHy8/OZNm0ad955J+PGjeP666+P+8BgPCkpKbVmnOPRdZ3jjz++VqrH9OnTmThx4mGNf48pU6bQs2dPbr31VvLz8xkzZgx33303X3/9NWvXrq3Z7vLLL2f06NG0a9eOq666Cq/Xy7p166iqqqKsrIysrCxatWpFnz59+O9//8sll1zSKOMTQoj9DRkyhBkzZlBSUoJlWdx99928/PLLAFiWxYoVK+jXr1+9jyfBtBBCNBJd1zFNM26faZoxD+2dcsopvPLKK8yfP5/nn3+eM844gxkzZvCXv/ylXufzer0kJycfdLsJEybw7bffEggE2LFjBytXruT444+v1zkOZu3atTH/6OzJTdw3mO7QoUPNz3vyrSORCGlpafz2t7/l73//O8OGDeOmm25i5cqVtR7AFEKIxtS1a1euu+46LrnkEiZNmoRpmjXpdaWlpdhstloPIx6MPI4thBCN5EAzxRUVFaSlpQHV+XrffPNNTSUOt9vNqFGjGDVqFFlZWbz66qsHPVcgEGDjxo1MmjTpoNsOGzYMh8PBrFmzKCgoYNSoUY32AGG86h97Svbt++HBZrPVud2tt97KhRdeyKxZs5g9ezZ//vOfefvtt3nllVcaZYxCCAHw1Vdf1fx89tlnc/bZZ8dsk5mZyZw5cw7puDIzLYQQjaRHjx4sXrw4pn3VqlX4/X569eoFVM8oT5kyhRUrVsRsm5ycXK+c6XfeeQfTNOuV16frOscddxxffPEFn3/++SHlAh5Mfn5+zDUvWrSopu9gtmzZwl133UV2djYXXnghTz31FA888ADz5s2jpKSk0cYphBBHisxMCyFEI7n44os5/fTT+etf/8oFF1yA2+1mzZo1/Pvf/2bs2LF069YNgLFjxzJo0CCuvPJKbrjhBgYPHkwwGGTx4sU888wzMQuiVFRUUFRUhGVZVFZW8u233/LII4/w+9//nrZt29ZrbBMmTOCGG26oOX9j+d3vfsfpp5/OAw88wNlnn8327dv529/+xpgxY8jPz2fbtm0H3D89PZ3p06cTDoe54oorgOqc7rZt25Kent5o4xRCiCNFgmkhhGgknTp14rXXXuOJJ57gkksuwe/3k5eXx0knncS1115bs52qqjz77LM8//zzvPTSS9xzzz0oikLXrl257777GD9+fK3jXnPNNTU/p6WlkZ+fzz/+8Q9OPfXUeo9t2LBh2O12hgwZUq9a0vV1zDHH8PTTT/PII4/w6quvkpaWxqRJk/jjH/9Yr/2Tk5N57rnneOihhzjnnHMwTZPBgwfz7LPPoqry5akQovlTrAOtRyuEEEIIIYSok3zsF0IIIYQQooEkmBZCCCGEEKKBJJgWQgghhBCigSSYFkIIIYQQooEkmBZCCCGEEKKBJJgWQgghhBCigSSYFkIIIYQQooEkmBZCCCGEEKKB/h+xQxUQ1pXK2gAAAABJRU5ErkJggg==",
            "text/plain": [
              "<Figure size 864x792 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "### Complete in this cell: plot assist-vs-salary, rebounding-vs-salary\n",
        "\n",
        "\n",
        "plt.figure(figsize=(12,11))\n",
        "plt.title('Relationship between ASSISTS & Salary - Position based', fontsize=20)\n",
        "sns.scatterplot(data=working_df, x='SALARY', y='AST', hue='POSITION', sizes=(30,100), palette='deep')\n",
        "plt.xlabel('USD Millions', fontsize= 15)\n",
        "plt.ylabel('Assists per game', fontsize= 15)\n",
        "sns.set_theme(style='darkgrid')\n",
        "plt.legend(loc='best', bbox_to_anchor=(0.5, 0., 0.5, 0.5), borderaxespad=0.7, fontsize=13)\n",
        "plt.show()\n",
        "\n",
        "plt.figure(figsize=(12,11))\n",
        "plt.title('Relationship between REB & Salary - Position based', fontsize=20)\n",
        "sns.scatterplot(data=working_df, x='SALARY', y='REB', hue='POSITION', s=65 ,sizes=(30,100), palette='deep')\n",
        "plt.xlabel('USD Millions', fontsize= 15)\n",
        "plt.ylabel('Rebs per game', fontsize= 15)\n",
        "sns.set_theme(style='darkgrid')\n",
        "plt.legend(loc='best', bbox_to_anchor=(0.5, 0., 0.5, 0.5), borderaxespad=0.7, fontsize=13)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "6d33d74b-dbc1-4d7d-93ab-72d0f12de486",
      "metadata": {
        "id": "6d33d74b-dbc1-4d7d-93ab-72d0f12de486"
      },
      "source": [
        "##### 3.4 When NBA players enter the league, they have low value salaries during what is called their \"rookie contract\". This means that it doesn't matter how well the player performs, they can't have large salaries. This can distort our understanding of how much teams value each skill, as a player could score 50 points a game and still earn just a couple of millions. So, lets now plot points, assists and rebounding vs salary, but only for players that have more than 4 years of experience (the typical length of a rookie contract)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 107,
      "id": "761750a3-0349-4e3e-ad56-cbb829117565",
      "metadata": {
        "id": "761750a3-0349-4e3e-ad56-cbb829117565"
      },
      "outputs": [
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 864x792 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 864x792 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 864x792 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "working_df_rookies = working_df.copy()\n",
        "working_df_rookies = working_df_rookies[working_df_rookies['SEASON_EXP'] > 4] #Non-Rookie Players (More than 4 years in the league)\n",
        "\n",
        "\n",
        "#1st plot: Scoring VS Salary (Non-Rookie)\n",
        "plt.figure(figsize=(12,11))\n",
        "plt.title('Relationship between SCORING & Salary - Position based (Non-Rookie)', fontsize=20)\n",
        "sns.scatterplot(data=working_df_rookies, x='SALARY', y='PTS', hue='POSITION',s=65,sizes=(30,100), palette='deep')\n",
        "plt.xlabel('USD Millions', fontsize= 15)\n",
        "plt.ylabel('Points per game', fontsize= 15)\n",
        "sns.set_theme(style='darkgrid')\n",
        "plt.legend(loc='best', bbox_to_anchor=(0.5, 0., 0.5, 0.5), borderaxespad=0.7, fontsize=13)\n",
        "plt.show()\n",
        "\n",
        "#2nd plot: Assits VS Salary (Non-Rookie)\n",
        "plt.figure(figsize=(12,11))\n",
        "plt.title('Relationship between ASSISTS & Salary - Position based (Non-Rookie)', fontsize=20)\n",
        "sns.scatterplot(data=working_df_rookies, x='SALARY', y='AST', hue='POSITION',s=65, sizes=(30,100), palette='deep')\n",
        "plt.xlabel('USD Millions', fontsize= 15)\n",
        "plt.ylabel('Assists per game', fontsize= 15)\n",
        "sns.set_theme(style='darkgrid')\n",
        "plt.legend(loc='best', bbox_to_anchor=(0.5, 0., 0.5, 0.5), borderaxespad=0.7, fontsize=13)\n",
        "plt.show()\n",
        "\n",
        "#3rd plot: Rebounds vs Salary (Non-Rookie)\n",
        "plt.figure(figsize=(12,11))\n",
        "plt.title('Relationship between REB & Salary - Position based', fontsize=20)\n",
        "sns.scatterplot(data=working_df_rookies, x='SALARY', y='REB', hue='POSITION',s=65 ,sizes=(30,100), palette='deep')\n",
        "plt.xlabel('USD Millions', fontsize= 15)\n",
        "plt.ylabel('Rebs per game', fontsize= 15)\n",
        "sns.set_theme(style='darkgrid')\n",
        "plt.legend(loc='best', bbox_to_anchor=(0.5, 0., 0.5, 0.5), borderaxespad=0.5, fontsize=13)\n",
        "plt.show()\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "e52dcf3d-a009-47c4-b4a3-a5cb94e66b2e",
      "metadata": {
        "id": "e52dcf3d-a009-47c4-b4a3-a5cb94e66b2e"
      },
      "source": [
        "##### 3.5 Scoring average grouped by position, we want to be able to see median, quartiles, etc "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 108,
      "id": "e85a80b1-1e1c-4b97-881b-41caa3473436",
      "metadata": {
        "id": "e85a80b1-1e1c-4b97-881b-41caa3473436"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'POSITION')"
            ]
          },
          "execution_count": 108,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 864x792 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(12,11))\n",
        "plt.title('Scoring average grouped by position', fontsize=20)\n",
        "sns.boxplot(x=\"POSITION\", y=\"PTS\", data=working_df,linewidth=5,whis=0.75,width=0.5,fliersize=6)\n",
        "plt.xlabel('SCORING', fontsize= 15)\n",
        "plt.ylabel('POSITION', fontsize= 15)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "2a669e88-8555-4e7c-aab7-83d3683dd26e",
      "metadata": {
        "id": "2a669e88-8555-4e7c-aab7-83d3683dd26e"
      },
      "source": [
        "##### 3.6 Height distribution of all players"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "648e15f1-d120-413e-b244-15c88fdc914f",
      "metadata": {
        "id": "648e15f1-d120-413e-b244-15c88fdc914f"
      },
      "outputs": [
        {
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtMAAAKeCAYAAABnMpeDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAB5IUlEQVR4nO3dd3RU1d7G8Wd6Gp1QpCktiDRBelNEQIoUUSnSBAuKCtIFFRSkqqiIBREVQYoiAiIgoEhvglSRKlKkt7TJtPePvOQaSSAZkpxM8v2s5bqXM2fm/JLsmXlmzy4mn8/nEwAAAIBUMxtdAAAAABCoCNMAAACAnwjTAAAAgJ8I0wAAAICfCNMAAACAnwjTAAAAgJ8I00AWM3/+fEVEROj999+/4XkRERFq1KiR39eJiIhQ69at/brvtRo///zzFJ3vdDr12Wefpbiu//5XoUIF1axZU48//rjmzJkjr9d73f2GDBmiiIgI7du3LzU/Sqrru1bjv393t3Ltm7l69aq++uqrRMe6dOmiiIgIXblyJc2vl95ee+01RUREqEWLFsmes2nTJkVERGj06NEJx1L6M7///vtJtqG77rpLNWvWVJcuXfT9998nuk9q2zOArMVqdAEAAlOfPn2UP3/+DLnW448/riNHjuiJJ55I0fk5cuRQt27dEv4dGxurc+fOad26dXr11Ve1dOlSffzxx7Lb7QnnNG7cWEWKFPHrZ0ptfRn5u2vatKnCw8P1+OOPJxxr27atatSoIYfDkSE1pJW4uDj9+OOPCg4O1sGDB/Xbb7+patWq6XKt+++/X3feeWfCv91uty5cuKAff/xRgwYN0uHDh9WvX790uTaAwEKYBuCX559/PsOudf78+VSdnzNnziTri4yM1EsvvaTVq1dr1KhRev311xNua9y4sRo3bpwh9WX07y48PDzRsXbt2mXY9dPSzz//rMuXL+v555/X+++/r3nz5qVbmG7cuHGSv6eePXuqbdu2mjp1qh599FEVKVIkXa4PIHAwzANAthEWFqaJEycqPDxc33zzjf766y+jS0IqLFiwQGazWZ07d1bJkiW1dOlSRUZGZmgNt99+u+6//355PB6tXbs2Q68NIHMiTANIZMOGDerRo4eqVaumKlWq6LHHHtPSpUuvOy+pMdPnzp3Tq6++qvr166ty5crq1KmTfvvtN3Xv3j3J8dk+n0/Tp09X06ZNVaFCBd1///2aMmWK3G63JOn48eOKiIjQiRMndPXqVUVERGjIkCG39PPlzJlTjzzyiDweT6KfK6lxy7t27dLTTz+tevXqqWLFimratKkmTpyYEOBuVF+XLl3UqFEjrV69Wo0aNVLlypX14osvJvu7k6RLly5p6NChuueee1S1alU988wz142jvjamd8WKFdfdv1GjRrrnnnsk/W/csCT98ccficbRJzV+2Ov1atasWWrTpo0qVaqkatWqqUePHlq3bl2ia1z7md9//32tXLlS7du3V6VKlVS7dm0NHz5cFy5cSOFfInUuXLigNWvW6K677lKePHnUvHlzRUdH64cffkiX691IwYIFJcX/vW5k27Zt6tOnj+rVq6cKFSqoevXq6tGjhzZu3JhwzgcffKCIiAjNmzfvuvufOHFC5cqVU//+/ROORUZGauLEiWrcuLEqVKig+vXr67XXXrvu25Fr7Xnnzp1q3ry5KlasqA4dOsjn8+ncuXN6+eWX9cADD6hixYqqV6+eBg4cyIdLwE+EaQAJ5s2bpx49emj//v1q3ry5HnvsMZ0/f14vvviiPvrooxve9+LFi+rUqZPmzJmjsmXLqnPnzoqNjVW3bt106NChJO8zdepUvffee6pWrZo6duwot9utd999VxMmTJAUH3z79OmjHDlyyG63q0+fPn4Pxfi3a4Hzt99+S/acI0eOqEePHtq+fbsaNWqkbt26KX/+/Jo6daqee+65FNV38eJF9e3bV1WrVlXbtm0TrpucgQMHat26dXr44YfVsGFDrVmzRh07dtTu3btT/TMWKVJEffr0kSTlz59fffr0UY0aNZI81+v1ql+/fho5cqQiIyP18MMPq3Hjxtq1a5d69uypmTNnXnefn3/+WX369FF4eLi6dOmiggULat68eXr22WdTXWtK/PDDD3K5XGrevLkkJfxvUiE0vR07dkzS/0J1UlasWKEuXbpox44daty4sbp166a7775bGzZsUM+ePRM+JLVu3Vomk0mLFi267jEWLVokn8+nNm3aSIqfTNqxY0dNnTpVRYsWVdeuXXX33Xdr7ty5euSRR3TmzJnrHqN3794qXry4OnTooJo1ayouLk5PPvmkvv/+e911113q3r27qlWrph9++EEdOnS46QcEANdjzDSQRW3evPmmK3r82z///KPXX39dJUuW1MyZM5UnTx5JUr9+/dS9e3e9++67atSokcqWLZvk/SdPnqy//vpLgwYNUs+ePSXFh7SXXnpJP/74Y5JjS2NiYvTtt9+qZMmSkqRevXqpSZMmmj9/vgYPHpww9vm7777TlStX0mys8bUQdPbs2WTPmTt3rq5evaovvvhCtWrVSjj+9NNP65dfftGBAwdUpkyZG9YXHR2tHj16pLg3PTg4WPPmzVPu3LklSatXr9bTTz+tUaNGafbs2an6GYsWLarnn39ekydPVv78+W/4u1u4cKGWLl2qevXq6f3331dISIgk6e+//1bHjh315ptvqkGDBipWrFjCffbs2aNJkybpwQcflCT17dtXbdu21fbt23Xo0CGVKlUqVfXezIIFC2QymRJCdKlSpVS+fHnt2rVL+/fvT+iFT2+7du3SqlWrFBQUpAYNGiR73sSJE5UjRw4tWLAg0WTTqVOnauLEifrxxx915513qmjRorrnnnu0ZcsWnTlzRgUKFEg4d9GiRQoPD1edOnUkSW+//bb+/PNPvfrqq+rcuXPCeStXrtSzzz6r0aNH6913301UR9WqVRO9Dvz888/au3evnnvuOb3wwgsJx6dNm6bx48frhx9+SPTYAG6OMA1kUZs3b9bmzZtTfP7ChQsVFxenF154ISFIS1JQUJBeeOEF9ejRQ999950GDx583X09Ho8WLVqkIkWKqHv37gnHzWazBg0apOXLlyd5zQcffDAhSEvxIfeuu+7Stm3bdPny5UR1pKVrq3jcaLztteXzdu3alShMjxkzRpKUN2/eFF2rSZMmKa7r2WefTQjSktSwYUPVrVtXa9eu1fHjx1W0aNEUP1ZqfPfdd5KkESNGJARpSSpWrJh69+6t119/XQsWLEgUyIsVK5YQpCXJZrOpdu3aOnDggE6cOJGmYfrQoUPavXu3qlevrkKFCiUcb9mypfbu3at58+Zp+PDhaXY9Kb5n+cSJEwn/drvdOnLkiH755Re53W69/PLLybYBr9er/v37y263X7dqS82aNSUlnrTapk0bbdmyRUuWLEl4/uzdu1cHDx5Ujx49ZLFY5Ha7tWDBApUpU+a6sHv//feratWq+umnnxQZGamwsLCE2/7b/q616/3798vpdCas6NKpUyc1b9480e8XQMoQpoEsqk+fPjfsjfxvT961oQQbNmzQgQMHEt0WHR0tKX7sbVL++usvXb58WbVq1ZLFYkl022233ZbsG/Ttt99+3bFrYTI6OjrdwnRUVJQkJQqO/9W2bVt9/fXXmjhxor766is1aNBADRo0UN26dW94v/9KTQBOamWKSpUqae3atfrjjz/SLUz/8ccfKliwYKKe52uqVauWcM6/JfW3y5Ejh6T4JezS0rV1nf+7tnTLli01ceJELVq0SIMGDUq01OGtWrlypVauXJnwb5vNpty5c6tu3brq3Lmz6tWrl+x9zWazHnjgAUnx454PHDigY8eO6eDBg9q0aZMkJVrrvFmzZnrjjTe0aNGihDB9bdjHtbH1R44cUXR0tDweT5LfODmdTnk8Hu3fvz/hbyZd3/7q1KmjYsWKacWKFapTp47q1KmjBg0a6N5771XhwoVT8ysC8P8I0wAkxY/HlHTD4QSXL19O8vjFixclKdm1kwsUKJDkeM4bhR+fz5fsbbfqWo9jUuHxmnLlymnu3Ln66KOPtHr1as2dO1dz585VSEiIunbtqr59+8pkMt30WkFBQSmuK1++fNcdCw0NlfS/DzTpITIy8oZ/Oyl+re5/S+pvl5Lfx/HjxxN6wv+tW7duypkz53XHfT5fQrAcMWKERowYcd05ly5d0rJly9SqVaubXj+lxowZc0tLCO7fv1+jRo1K+HbIZrOpVKlSqlChgo4ePZqofYeFhalx48ZavHix/vrrLxUrVkyLFy9W2bJlE9a6vjZZ9PDhw5o8eXKy1/3vc/S/7S84OFhz587Vhx9+qB9//FHLly/X8uXLEz4AvP7664m+HQFwc4RpAJL+10u7YsWKG4bMpFz7Wjm5YRPXeoIzi61bt0qS7r777hueV65cOU2aNElxcXHavn27fv31V82fP18fffSRChYsqE6dOqVpXVevXk30Fb2khA8huXLlkvS/wJrULo4xMTF+XTc0NFSnT59O8rZr4SytAtaJEyeSDINt27ZNMkxv3LhRJ0+eVMmSJVW9evXrbj9z5ox+/vlnzZs3L03D9K2IjIzUE088oatXr2rw4MGqU6eOSpYsKbvdrt9//12LFy++7j5t2rTR4sWL9eOPP6patWo6c+ZMoo2Hrn2oat26tcaPH39L9eXNm1fDhg3Tyy+/rP3792vNmjX6/vvvtWzZMpnNZk2aNOmWHh/IbgjTACQpYbm1Xbt2XRemjx49qjlz5qh69epJLnFXsmRJhYSEaOfOndfdduXKFR05ciTRxCojRUZG6vvvv5fVak005ve/FixYoF27dmn48OGy2+2qWbOmatasqfvuu0+dO3fWtm3b0jxM79q167qv2nfs2CGTyaTy5ctLiu/hlK7vqb5y5YouXbqUELpSo1y5ctq0aZP+/PPP6yaYXvvgUbp06VQ/blJq1qyp/fv3p/j8a0M8nnnmmSSXE4yJiVHdunW1efNmHTt2TMWLF0+TOm/Fxo0bde7cOT3xxBPX7Yp5bWWb/37zUqdOHYWHh+vnn3/WlStXZDabE304uOOOO2S327Vnzx75fL7rvgX4/PPPFR0drY4dO95weNSWLVu0bNkyde3aVcWLF1e5cuVUrlw5Pf7446pTp07C3xtAyrE0HgBJ0kMPPSSLxaJJkyYlWuXC7XbrjTfe0GeffZbsslk2m02tWrXSkSNH9PXXXycc93q9mjBhglwu1y3VZrPZEtaevhUxMTEaPHiwLly4oA4dOtxwjOiOHTv01Vdf6ccff0x0/Pjx45Lix4KndX0ff/xxouEUCxcu1O+//66GDRsm7GJ4bcLmL7/8kui+H330UZK91Tab7aa//2vDGUaPHp0opP/999/64IMPZLPZrhuvnBFiYmK0bNkyBQcHJ7skYnBwsJo3by6fz6dvvvkmgytM2rVJff9d+/nkyZMJvfL/bS8Wi0WtWrXSzp07tWTJEtWqVSvR0nsOh0PNmzfXwYMHNX369ET33bRpk8aPH69vv/024RuM5Jw9e1YzZszQZ599luj4uXPn5HQ62dER8AM90wAkxU8oGzhwoMaOHauWLVuqUaNGypUrl3799VcdOnRI9913nx566KFk79+3b1+tWbNGI0aM0MqVK1W6dGlt2bJFhw8fVlBQkMxm/z+7FyhQQEePHtWAAQNUr169hHV3k3PlypVEk7Ti4uL0zz//aN26dTp//rzq1auX5Kok/9arVy/9+OOPGjBggJYuXaoSJUroxIkTWr58ucLDw/X444/7XV9yrl69qtatW6tRo0b6+++/tWLFCoWHh+uVV15JOKdhw4YqUKCAfvzxR129elXlypXT9u3bdeDAAZUtW1anTp1K9JgFChTQ4cOH9dprr6lhw4ZJfrPQunVrrVq1SsuWLdNDDz2kBg0aKDo6WitXrlRkZKSGDx9uSI/v8uXLFR0drZYtW96wx71du3aaN2+evvvuu4SNcYxUrVo1FSlSRN9//70uXryocuXK6dSpU1q5cqUcDodMJlOSH0zbtm2rzz77TKdOnVLfvn2vu33w4MHavn27xo0bp5UrV6pSpUo6ffq0li9fLqvVqjfffPOmz7PGjRvr7rvv1tdff60///xTVapUUWRkpJYtWyZJiZbLA5Ay9EwDSNCjRw998sknKleunJYvX645c+bIarVqyJAheu+992S1Jv/5O2/evPr666/VqlUr7dq1S7NmzVJISIi+/PJLhYaGKjg42O+6Bg4cqDJlymjp0qUJX/vfyNWrVzV58uSE/z777DOtW7dOd955p8aOHatPPvnkpis/FC1aVF9//bWaN2+u3bt3a/r06dqyZYseeughzZ07N1GvYWrrS86HH36oiIgIzZ49W5s2bVKLFi00d+7cRCsy2O12zZgxQw888IB27Nihr7/+Wjly5NDXX3+d5Fj3V199VUWLFtW3336baHWKfzOZTJo0aZKGDx+u0NBQffPNN/r5559VpUoVTZ8+3bB1hxcuXChJN/wQJ8WvgnLHHXfozJkz1/XYGyEkJETTp09XkyZNtGfPHn311Vfau3evHnroIS1cuFDlypXT1q1br5tLULZsWZUqVUrBwcEJq4H8W968eTV37lw98cQTOn36tGbMmKGtW7eqUaNGmjt3bsKyezdit9v18ccf68knn9SFCxc0c+ZMLV26VJUrV9aMGTNUt27dNPs9ANmFyZeeU+YBZBvHjh1ToUKFrgupcXFxqlq1qmrXrq2pU6caVB2Q+V29elV169ZV06ZNE3YBBZD50TMNIE08++yzqlu3bsISXtd88cUXcrlcKeo1A7KzqVOnyul06tFHHzW6FACpQM80gDQxc+ZMvf766ypUqJDuv/9+BQcHa+/evVq/fr0iIiI0b968hIlZAP6nc+fOunTpkg4ePKhatWrpiy++MLokAKnABEQAaaJz584KDw/XjBkztGTJEkVHR6tw4cJ6+umn9fTTTxOkgWTkypVLu3fvVt26dW95DWkAGY+eaQAAAMBPjJkGAAAA/BTwwzwuXoyS15v1O9fz5QvT+fNJb9UMJIU2A3/QbuAP2g1SK9DajNlsUp48Sa93H/Bh2uv1ZYswLSnb/JxIO7QZ+IN2A3/QbpBaWaXNMMwDAAAA8BNhGgAAAPATYRoAAADwE2EaAAAA8BNhGgAAAPATYRoAAADwE2EaAAAA8BNhGgAAAPATYRoAAADwE2EaAAAA8BNhGgAAAPATYRoAAADwE2EaAAAA8BNhGgAAAPATYRoAAADwE2EaAAAA8BNhGgAAAPATYRoAAADwE2EaAAAA8BNhGgAAAPATYRoAAADwE2EaAAAA8BNhGgAAAPATYRoAAADwE2EaAAAA8BNhGgAAAPCT1egCAACJ5cwZKofDuL6O8PAcft/X6fTqypWoNKwGADI3wjQAZDIOh1kDBzoNuXZoqENRUf5fe8IERxpWAwCZH8M8AAAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD8RpgEAAAA/EaYBAAAAPxGmAQAAAD9laJj+/vvv1aJFC7Vo0ULjxo2TJO3bt08PP/ywmjZtqmHDhsntdmdkSQAAAIDfMixMx8TEaPTo0ZoxY4a+//57bd26VevXr9fAgQP1yiuvaNmyZfL5fJo7d25GlQQAAADckgwL0x6PR16vVzExMXK73XK73bJarYqNjVWVKlUkSe3atdPSpUszqiQAAADgllgz6kJhYWF68cUX9eCDDyooKEg1atSQzWZTeHh4wjnh4eE6ffp0RpUEAAAA3JIMC9N//PGHvv32W/3888/KkSOHBgwYoHXr1l13nslkStXj5ssXllYlZnrh4TmMLgEBhjYTuEJDHQF7bdpd9sTfHamVVdpMhoXptWvXqnbt2sqXL5+k+CEd06ZN07lz5xLOOXv2rAoUKJCqxz1/PlJery9Na82MwsNz6OzZq0aXgQBCmwlc4eE5FBXlNOTaoaGOW7y2g3aXDfF6g9QKtDZjNpuS7cDNsDHT5cqV0/r16xUdHS2fz6dVq1apRo0acjgc2rZtmyRpwYIFatCgQUaVBAAAANySDOuZrlevnvbu3at27drJZrOpYsWKeuqpp/TAAw9o+PDhioqKUvny5dW1a9eMKgkAAAC4JRkWpiXpqaee0lNPPZXoWLly5fTNN99kZBkAAABAmmAHRAAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT4RpAAAAwE+EaQAAAMBPhGkAAADAT1ajCwCAQHflirRunVWbNll0+rRJ58+bdPmySbly+VSokE+FC3tVtapHdet6FBZmdLUAgLREmAYAPzid0nffWfXll3b99ptZXq9JDodPBQv6lD+/T7ly+XTlikl//mnW6dNWeTwmWa0+Va/u0cMPu9W+vUshIUb/FACAW0WYBoBUiIyUPvnErmnTbDp71qxy5Tzq2zdODRp4VK2aRw7H9fdxOqUtWyz6+WeLfvrJqgEDgjR6tENdu8bpySddKlDAl/E/CAAgTRCmASCFliyx6uWXHTp50qxGjdzq3TtWDRp4ZDLd+H4Oh1Svnkf16nk0fHicNm606OOPbXr/fbumTbPrpZecevJJV5JBHACQuTEBEQBu4vRpk7p2DVL37sHKlcunxYujNHt2jBo2vHmQ/i+TSapd26PPP4/VunVRqlPHo9dfD1KDBqH6+WdL+vwAAIB0Q5gGgBvYvNmsxo1DtHq1Va++GqsVK6JVo4Y3TR67VCmfvvoqRrNnR8ti8emxx0L08ssOxcSkycMDADIAYRoAkuDzSdOm2dSmTYiCg6Uff4xWnz4u2Wxpf61GjTxauTJaTz0Vp08/tataNenMmVR2eQMADEGYBoD/8Hqll192aOjQIDVq5NFPP0WpfPm06Y1OTnCwNGqUU3PnRuvyZWnWLJv27OElGgAyO16pAeBf3G7p+eeDNG2aXb17x+nLL2OUK1fGXf/eez3avl0qVMinH3+0adUqizyejLs+ACB1CNMA8P+cTqlnzyDNm2fT0KFOjRjhlNmAV8kCBaRHHnGpalW3fvvNqm+/tcnpzPg6AAA3R5gGAMX3SD/5ZJB+/NGmN9+MVb9+caleqSMtWSzxY6mbNXPp+HGTZs+26epV4+oBACSNMA0g2/N6pb59g7R0qU1jxsSqVy+X0SUlqFDBq3btXLp0yaRZs+w6d46JiQCQmRCmAWRrPp/0yisOzZ1r05AhTvXsmXmC9DW33+5Thw4ueb3S11/bdPw4gRoAMgvCNIBs7f337Zo61a6nn45Tv35xRpeTrIIFferUKU6hoT7Nm2fT/v28fANAZsCrMYBs64cfrBo1yqF27VwaOdJp6BjplMiVS+rY0aWCBX1atMiq335jx0QAMBphGkC2tGuXWc89F6SqVT16551YQ1bt8EdwcPxKH6VLe7VqlVVr11rk8xldFQBkXwHy9gEAaef0aZO6dg1W7tw+ffFFjIKDja4odWw26aGH3KpY0aONG61ascIqb/ruKQMASIbV6AIAICO53dJTTwXpwgWTFi2KVsGCgdmtazZLTZq4FRzs0+bNVsXESM2bu2XlVR0AMhQvuwCylTFj7NqwwaoPPohRpUqB3Z1rMkkNGngUEiL98otVsbEmtWnjkt1udGUAkH0wzANAtrF8uUXvv+9Qly5xeuQRt9HlpJl77vHowQdd+vtvk+bMsSk62uiKACD7yNAwvWrVKrVr107NmjXTqFGjJEnr169Xq1at1KRJE73zzjsZWQ6AbOTYMZP69AlWxYoejR6d9fbmvusur9q0cev8eZO+/tqmS5eMrggAsocMC9N///23XnvtNU2ZMkWLFi3S3r17tXr1ar388suaMmWKlixZot27d2v16tUZVRKAbMLtlp5+Olgej/TppzEKCjK6ovRRqpRX7du7FBMTv1viP/9k8rX+ACALyLAw/dNPP6l58+YqVKiQbDab3nnnHQUHB6tEiRIqVqyYrFarWrVqpaVLl2ZUSQCyibfftmvbNoveeitWd9wRmBMOU6poUZ86dnTJapVmz7bp0CFG8wFAesqwCYh//fWXbDabevbsqbNnz+q+++5TmTJlFB4ennBOgQIFdPr06VQ9br58YWldaqYVHp7D6BIQYGgz0oYN0ttvS126SE8+GThr4IWGOm7hvtKTT0qzZkkLFtjUpIlUs6ZSvCnNrVxbot1lV/zdkVpZpc1kWJj2eDzaunWrZsyYoZCQED377LMKTmJxV1MqtyA7fz5SXm/W7mmS4hvc2bNXjS4DAYQ2I129KnXoEKqiRaURI6J09qzRFaVMeHgORUXd2rhuk0l65BHpxx+tWrbMopMnPWrc2C3LTTZNDA113OK1Hdm+3WVHvN4gtQKtzZjNpmQ7cDMsTOfPn1+1a9dW3rx5JUn333+/li5dKsu/XtnPnDmjAgUKZFRJALK44cODdPy4Sd9/H6McWaMDJFXs9vjNXdat82njRqsuXDCpVSuXwrLPF3oAkO4ybDDdfffdp7Vr1+rKlSvyeDxas2aNmjVrpiNHjuivv/6Sx+PR4sWL1aBBg4wqCUAWtmKFRV9/bdPzz8epZk2P0eUYxmSS6tXzqGVLl06fNunLL+06doyJiQCQVjKsZ7py5crq1auXOnXqJJfLpbp166pjx44qWbKknn/+eTmdTjVs2FDNmjXLqJIAZFGXL0svvRSkcuU8GjAgzuhyMoVy5bzKl8+lRYusmjfPprp1PapRwyMz8xMB4JZk6A6I7du3V/v27RMdq127thYuXJiRZQDI4l59NUhnz5r05ZcxctzaXLosJTzcp8cfd2n5cqvWrrXq6FGzmjVzKXduoysDgMBFnwSALOXa8I4+feJUpUpgbxeeHux2qUULtx580KUzZ0z64gu7du40y5f153EDQLrI0J5pAEhPkZHSgAFBiohgeMeNmEzxOyYWKxanpUttWr7cpr17vWrc2K3QUKOrA4DAQs80gCxjzBiHTp0y6e23YxnekQI5c0qPPOJSkyYunTtn0pdf2vTTT5Iz6+22DgDphp5pAFnCb7+Z9emnNnXv7lL16gzvSCmTSapUyavSpeO0Zo1V69dbtH27XTVrelSlikdW3iUA4IbomQYQ8FwuqX//IBUs6NOwYXSr+iMkRGra1K0nn5QKFvTpl1+smjbNru3bzXK5jK4OADIv+hwABLyPPrJrzx6Lpk+PUc6cRlcT2G67TWrf3qVjx0xau9aqlSttWr/ep6pVPapc2aOQEKMrBIDMhTANIKAdP27SxIl2NWvmUosWbqPLyTKKF/epY0eXjh83afNmi9ats2rjRovKlvWqcmWPihTxycTeLwBAmAYQ2F55JX6m4ejRDO9IayaTVKyYT8WKuXXunEe//27Wnj0W7dtnUe7cXt15p/f/N4NhXT2j5cwZKofD2JGb4eE5/Lqf0+nVlStRaVwNkHEI0wAC1qpVFv3wg00vv+xUsWIEuvSUP79P99/vUf36Hu3fb9Yff1i0caNFGzZYVaDAtWCdfbdtN5rDYdbAgcZ9oAwNdSgqyr/rT5jA0jsIbIRpAAHJ6ZSGDg1SqVJe9e7NmtIZxW6XKlb0qmJFryIjpf37Ldq3z6zVq61avdqivXulBx+0qWVLtwoV4gMOgKyPMA0gIE2ZYteRI2bNmRPNmtIGCQuTqlXzqFo1jy5elP74w6KLF616+eUgDRvmU40aHrVu7SZYA8jSWBoPQMA5ccKkSZPsatnSpfvuY2hBZpAnj1S7tke7dklr10Zp4MA4Xbli0ssvB6ly5VC1bRusOXOsimJoLIAshjANIOC88YZDPp80YgSTDjOjsmW9GjAgTqtXR2vduvhgfeKEWc8/H6yKFcP00ksObd5slo/OagBZAGEaQEDZtMmi+fNtevbZOBUvThrL7MqUiQ/WmzZF6fvvo9WypVvz59vUsmWo6tYN0Qcf2HTlitFVAoD/CNMAAobXKw0f7lDhwl49/zyTDgOJyRQ/DOS992K1e3ekJk2KUd68Po0cGaTKlcP0yisO/f03C1cDCDyEaQABY+5cq37/3aLhw50KDTW6GvgrLEzq1MmtxYtjtGJFlJo1c2vaNJtq1gxV//6EagCBhTANICBERkqjRjlUrZpHDz/MTodZRaVKXn34Yay2bo1St24uzZljU61aoRo0yKGzZwnVADI/wjSAgDBlil1nzpj1+uuxMvPKleXcdptPY8Y4tWlTlDp1cumrr+JD9fvv2+VknimATIy3JACZ3unTJk2ZYtdDD7lUvbrX6HKQjooU8WnCBKdWr45WrVoevfGGQ/Xqhernny1GlwYASSJMA8j0xo+3y+WShg2jizK7KFPGq5kzYzR3brSsVumxx0L0zDNBDP0AkOkQpgFkan/8YdbMmTb16OHSHXewFF52c++9Hv38c5T693dq0SKr6tYN1YIFbN4LIPMgTAPI1N54w6GwMOmll+iVzq6CgqTBg+P088/RKlnSq6eeCtYzzwTp0iWjKwMAwjSATGzDBot++smqF16IU968RlcDo5Ut69XixdEaPNiphQutatgwVBs3MpYagLEI0wAyJZ8vfim8QoW86tWLDVoQz2qV+veP05Il0QoOltq0CdY779jlZV4qAIMQpgFkSj/9ZNGWLRb17x+nkBCjq0FmU6WKVytWRKlNG7fGjHGoQ4dgXbhgdFUAsiPCNIBMx+uVRo926I47vOrUyWV0OcikwsKkDz+M1VtvxWrDBouaNAnVvn28rQHIWLzqAMh05s+3at8+iwYPdspmM7oaZGYmk9Sli0sLFkTL6ZSaNw/Rjz+y2geAjEOYBpCpuFzSuHEO3XWXR23asG04UqZaNa+WL49W2bJedesWrLfftsvHSooAMgBhGkCmMmeOTX/9ZdbQoU62DUeqFC7s04IF0Wrf3qWxYx166qkgRUUZXRWArI63KgCZRlyc9PbbdlWt6tEDD3iMLgcBKDhY+uCDWL36aqwWLrSqVasQnTzJrokA0o/fYfoC06YBpLGvv7bp+HGzBg1yykT+gZ9MJqlPH5dmzozR0aNmNW8eoj/+oO8IQPpI0avL5cuXNWzYMO3fv19ut1vdu3dX3bp11bRpU/3111/pXSOAbMDplCZNsqtaNY/uu49eady6xo09+v77aLndUqtWIWzwAiBdpChMjx49Wtu3b5fNZtOyZcv022+/6e2331bZsmU1ZsyY9K4RQDYwc6ZNJ06YNXgwvdJIOxUrerVkSbTCw7165JFgLVrESh8A0laKwvTq1as1duxYlSxZUqtWrVL9+vX14IMPqm/fvtqyZUt61wggi3M6pXfftatGDbcaNqRXGmmreHGfFi+OVsWKXvXqFaRp01hvEUDaSVGYjouLU3h4uCRp/fr1qlu3riTJZDLJzHR7ALfo669tOnXKrIED4+iVRrrIm1f65ptoNW3q1tChQRo9mqXzAKSNFH3fVa5cOX377bfKly+fLl68qHvvvVdxcXH69NNPVa5cufSuEUAW5nJJ779v1z33eNSgAb3SSD8hIdJnn8VqyBCf3n3XoXPnTJo40SkLQ6kB3IIUhekhQ4aod+/eunjxonr27KnbbrtNI0aM0MqVKzV16tT0rhFAFvbtt1b9/bdZY8dG0yuNdGe1ShMmOJU/v09vv+1QZKRJH3wQK7vd6MoABKoUhemLFy9q+fLl8ng8ypUrlySpZ8+eGjBggMLCwtK1QABZl8cjTZrkUIUKHjVuTK80MobJJA0ZEqccOXwaOTJIUVEmTZsWo+BgoysDEIhSNOB58ODBOnHiREKQlqRixYoRpAHckoULrTp82Kx+/RgrjYz33HMuTZwYq5UrLerYMViRkUZXBCAQpShMFylSRMeOHUvvWgBkI15v/LrSZct61KKF2+hykE117erShx/GatMmix5+OETsRwYgtVI0zKNChQrq27evKlasqGLFiikoKCjR7W+88Ua6FAcg61q+3KJ9+yz64IMYsSgQjNSunVuhoTHq1StYbduGaO7cGBUsyFIfAFImRWH6yJEjqlq1qiTpn3/+SXSbie9mAfhh8mS7ihXzqm1beqVhvKZNPZo1K0ZdugSrTZsQffddtAoVIlADuLkUhekZM2akdx0AspFNmyzavNmqN9+MlZUN6ZBJ1K/v0Zw5MerQ4X+BunBhAjWAG0vxl6tut1tLlizR5MmTdenSJW3evFkXGFwGwA8ffGBT3rxedezoMroUIJGaNT2aMydaZ86Y1Lp1iE6c4NtXADeWojB95swZtWrVSsOHD9eUKVN09epVTZ8+Xa1atdLBgwfTu0YAWcj+/WYtXWrTE0+4FBpqdDXA9WrU8GrevGidPx8fqP/+m0ANIHkpCtNjx45VmTJltHHjRjkcDknShAkTVKFCBY0bNy5dCwSQtUyZYldwsE89e9IrjcyrWjWvvvkmWpcvm9S2bYiOHSNQA0haikYrbtq0SdOmTZP9X1tEhYWFqX///urcuXO6FQcgazl1yqRvvrGqa1eX8uVL/7GoOXOGyuFgqRD45+674wP1I4+EqE2bEM2fH63bb2cMNYDEUhSmY2NjZbPZrjseFxcnn48XFgApM22aTR6P9PTTcRlyPYfDrIEDnRlyrbQ0YYLD6BLw/ypX9urbb6PVvn2IHn44RAsXRqtIEd73APxPirps6tatq6lTpyYKzlevXtXbb7+tmjVrpltxALKOqCjpyy/tat7cTe8eAkrFivFjqC9fNqlduxCdPs2QDwD/k6Iw/fLLL2vbtm2qX7++nE6n+vTpo3vvvVfHjh3TkCFD0rtGAFnAnDk2Xbpk0jPPZEyvNJCWKlXy6uuvo3X6tEnt2wfr3DkCNYB4KRrmUahQIS1cuFCLFy/Wvn37ZLPZVLp0aT300EMJExIBIDler/TJJ3ZVrepR9epeo8sB/FK9ulczZ8aoY8dgPfposObPj1bu3EZXBcBoKQrTY8aMUbt27fTII4+kdz0AsqCffrLo8GGzPvkkRmyaikBWt65Hn38ev1Nix44hmjcvWmFhRlcFwEgpGuaxe/dutWnTRm3bttWXX36pixcvpnddALKQjz6yq2hRr1q2ZOtwBL5GjTyaOjVWO3aY1blzsKKjja4IgJFSFKZnzpypn376SQ888IBmzZql+vXr69lnn9WKFSvkdvPmCCB5u3aZtW6dVT17xrF1OLKM5s3dmjIlVhs3WvTEE8FysWw6kG2leAHWokWL6tlnn9XSpUv19ddf64477tDAgQNVv359jR49WkeOHEnPOgEEqM8+sykkxKfHHydtIGtp29att95yatUqq156KUisFAtkT6nazcDn82nNmjX66quvNG/ePAUFBalFixY6ffq0WrdurVmzZqVXnQAC0KVL0vz5Nj38sEu5chldDZD2Hn/cpYEDnZozx6YxY+w3vwOALCdFX7ru3r1bCxcu1JIlS3Tp0iU1aNBAb775pu69915Z//97208//VTvvPOOOnXqlK4FAwgcX39tU0yMST160CuNrGvAgDj9849JkyY5VKiQT088QXsHspMUhen27dsrIiJCvXr10kMPPaS8efNed86dd96pOnXqpHmBAAKT1ytNn25XjRpuVajAcnjIukwmadw4p06fNmvoUIcKFvSpRQvmEwHZRYrC9IIFC1SuXLkbnlO3bl3VrVs3TYoCEPh++cWio0fNGjIk8LbzBlLLapU+/jhG7duHqHfvIM2bF6OaNT1GlwUgA6QoTJcrV05//PGH/vzzT3m98T1MPp9PcXFx2rVrl0aNGpWuRQIIPJ99Zlf+/F566JBthIZKX30VoxYtQtSlS7AWL45W2bJ8KwNkdSkK09OmTdOECRNkNpvl8/lkMpnk9XplMplUs2bN9K4RQIA5dsykn36yqG/fOLFJKrKTfPl8mjMnWs2bh6hjx2AtXRqt8HCW+QCyshSvM/3cc89p586dyps3r37++WctWbJEZcuWVYMGDdK7RgAB5osvbDKZpK5dmYiF7KdECZ9mzozRuXMm9egRJCcjnYAsLUVh+syZM2rTpo2sVqvKlSunnTt3qmTJkhoyZIi+/fbb9K4RQACJjZVmzrSpWTO3ihShRw7ZU5UqXr33Xqw2b7Zq4EDWoAayshSF6bCwMDn//6P17bffrj///FOSVKJECZ08eTL9qgMQcL7/3qoLF8wsD4Zsr3VrtwYMcGr2bJumTLEZXQ6AdJKiMF2jRg299dZbOnPmjCpWrKhly5bp6tWrWrVqlXKxEwOAf5k+3a7SpT2qX5+VDIABA+LUqpVLb7zh0C+/WIwuB0A6SFGYHjx4sI4fP64lS5aoefPmMpvNqlGjhkaPHq1u3bqld40AAsSOHWb99ptFPXq4ZDIZXQ1gPLNZeu+9WEVEePXMM0E6downBpDVpGg1jyJFimjRokVyOp2y2+2aNWuW1q5dq0KFCqlSpUrpXSOAADF9ul0hIT499hhDPIBrQkOl6dNj1KRJqJ54IliLFkUrONjoqgCklWTD9OnTp294x8qVKyecV7BgwbStCkDAuXBB+u47qx591KWcOY2uBshcSpb0acqUGD3+eIgGDQrSe+/F8u0NkEUkG6YbNmwo002e6dfWnN63b1+aFwYgsMyZY1NsrEk9etArDSSlSROPBgxwauJEh2rXdqtTJzY0ArKCZMP0l19+mZF1AAhgPl/8cnjVqnl0113s+AYkp3//OG3aZNHQoUGqWjVa5crxfAECXbJhukaNGpKkyMhI2Ww2OdjGDEAytmwx688/LXrnnVijSwEyNYtFmjIlVo0ahahXryAtWxat0FCjqwJwK5JdzePy5ct66qmnVL16dVWtWlW9e/fWhQsXMrI2AAFi1iybQkJ8at2aIR7AzRQs6NOHH8bqwAGzhgwJMrocALco2TA9btw47d27V/369VO/fv20d+9evfLKKxlZG4AAcPWqtGCBTW3buhQWZnQ1QGBo0MCjfv3iNGeOTfPnp2hhLQCZVLLP4DVr1mj8+PGqU6eOJKlatWrq2rWrXC6XbDZ2cgIQb8ECm6KjTercmV5pIDUGDIjT6tVWDRoUpBo1olS0KHuOA4Eo2Z7pCxcuqHTp0gn/rly5srxer86fP58hhQEIDLNm2RQR4VG1akykAlLDapWmTImRxyP16RMkD5uGAgEp2TDt8Xhksfxv61Oz2Sy73S6Xi94nAPH27jVr2zaLOndmx0PAH3fc4dObb8Zq/XqrPvjAbnQ5APyQou3EASAps2bZZLP59MgjrJcL+KtDB7datnRp3Di7du/mbRkINDec9bBr1y7l/M9WZnv27NHZs2cTHatatWraVwYgU3M6pXnzbHrwQbfy5WOsJ+Avk0maODFWGzeG6oUX4pfLY2oSEDhuGKZ79+4tny/xm2Tfvn0T/ZsdEIHs6ccfrbp4kYmHQFrIm1eaMMGpHj2C9e67dg0YEGd0SQBSKNkwvXLlyoysA0CA+eorm4oV86phQ2ZNAWmhRQu32rVz6e237WrWzK0KFZjUCwSCZMN0kSJFMrIOAAHkr79M+vVXqwYOdMrMEE8gzbz5ZqzWrGG4BxBIeBsEkGpff22TyeRTx44M8QDSUt680sSJTu3ebdGUKazuAQQCwjSAVPF4pNmzbbrvPg+bTADp4MEH3WrVyqWJE+06fJg1J4HMjjANIFV++cWikyfNTDwE0tGbbzrlcEgDBwbJx2dWIFNLNkw3aNBAp0+fliRNnjxZMTExGVYUgMzr669typfPq6ZNWVsaSC8FC/r0yitOrVlj1Zw5N1x4C4DBkg3TV65c0f79+yVJH3zwAWEagC5dkpYutapdO7fsDOcE0lWXLi7VrOnWq68G6exZhnsAmVWyH3fvu+8+PfXUUzKZTPL5fKpbt26yD8I600D28P33NsXFmfToowzxANKb2Rw/GfG++0I0apRD774ba3RJAJKQbJieMGGC2rRpo8uXL2vQoEEaPny4cuTIkZG1Achk5syxqVw5jypVYv1bICNERHj1zDNxmjzZoc6d41SjBs89ILNJNkxbrVY1bNhQknTs2DG1a9dOwcHBGVYYgMzl8GGTtm616JVXnDLxjTOQYV56KU7z59s0eHCQfvopWlaGUAOZSopW8+jTp48OHDigvn37qkWLFmrdurX69++vnTt3pnd9ADKJuXNtMpt9euQRhngAGSksTHrjDaf27LHo88/ZxQXIbFIUpjds2KBOnTrp1KlTatiwoWrXrq2///5bnTp10ubNm9O7RgAG83qlefNsatDAo0KFWKcLyGgtW7p1771ujRnj0OnTfDUEZCYp+rLonXfeUceOHTVs2LBEx8eMGaNJkyZp1qxZ6VIckFXkzBkqhyPjl3UPD7/1eQ4ul0/r15v099/S2LHmNHlMAKljMkljx8aqfv1QjRtn19tvO40uCcD/S1GY/uOPPzRu3Ljrjj/22GOaO3dumhcFZDUOh1kDB2bsm19oqENRUbd+zQkTHOrTxyObzazNm+O0fXsaFJdBJkxwGF0CkGZKlvSpZ0+XPv7YpieecKlCBSYjAplBirrK8ufPr1OnTl13/NSpUwoJCUnzogBkHtHR0v79ZkVEeGVjuCZgqP79ncqTx6fXXnOwMyKQSaQoTDdv3lyvvfaaNmzYoJiYGMXExGjdunUaMWKEmjZtmt41AjDQd99JLpdJd93lMboUINvLlUsaODBOa9ZYtWyZxehyACiFwzz69OmjgwcPqkePHjL9a02s5s2ba+DAgelWHADjffmllDOnT0WL0g0GZAZdu7r02Wc2jRgRpEaNotiNFDBYisJ0UFCQPvroIx06dEh//vmngoKCVLp0aRUrViy96wNgoKtXpRUrpBo1PKwtDWQSNps0cqRTnTqFaPp0m55+muUqASOlaun3UqVKqVSpUulVC4BMZt8+i7xe6a67mOgEZCb33+/Rvfe6NXGiQ4884lJ4uNEVAdkX+ygBSJLPJ+3ZY1adOlKePAzxQMq43WmzJKMRnE6vrlyJMrqMFDGZ4nun77svRBMnOjR1qtEVAdkXYRpAkk6fNun8ebO6dpUOHjS6GgQKq1UZvgxkWgm0pRTvvNOrLl1cmj7dppdeMroaIPvK+F0kAASEvXvNslh8evRRoysBkJzBg+MUEiINGGB0JUD2laIw3bVrV125cuW64xcuXFC7du3SvCgAxvJ44sdLlyrlVZ48RlcDIDn58/vUr59TS5ZIR48ySxgwQrLDPH777TcdO3ZMkrRlyxYtXLhQYWFhic45ePCgjh49mq4FAsh4R46YFRNj+v+Jh6xlC2RmTz7p0hdfBGnNGqtKlHCx8g6QwZIN02azWcOHD5fv/7dYGjNmTKLbTSaTQkND9eyzz6ZvhQAy3J49ZoWE+HT77aziAWR2Dof0+utSt25m/fln/G6lADJOsmG6SpUq2r17tySpUaNG+uabb5Q3b94MKwyAMWJipMOHzapSxSMLndJAQOjcWXrpJa/WrrWodGkvz10gA6VozPSqVasI0kA2sX+/WR6PibWlgQBisUj163t08aJZe/awtgCQkVK0NN7Zs2f13nvvaceOHYqLi7vu9mXLlqV5YQCMsWePRfnzexUeztrSQCApVcqr227zav16q+68M042m9EVAdlDisL08OHDtXfvXjVv3lw5cgTmYvwAbu7CBZNOnTKrYUM3k5iAAGMySfXruzVnjl3bt1tUo4bH6JKAbCFFYXrjxo2aPn26qlatmt71ADDQnj1mmUw+3Xknb8JAICpWzKc77vBo82aLKlXyKCjI6IqArC9FA6ty5MihXLlypXctAAzk80l791pUooRP/1kFE0AAqV/fo9hYk7ZsYRYikBFSFKY7deqk9957TzExMeldDwCD/P23SVevmlShAr3SQCArUMCncuU82rbNoshIo6sBsr4UDfP47bfftGnTJlWvXl3h4eGy2+2JbmcCIhD49u61yG73qVQpVvEAAl3dum79+addGzda1bix2+hygCwtRWG6SpUqqlKlSjqXAsAoLlf8knjlynlZAQDIAvLkkSpW9GrnTrPuuUfKndvoioCsK0Vhuk+fPuldBwADHTxolstlUvnyDPEAsoratd3as8eu9eutat6c3mkgvaQoTH/00Uc3vP2ZZ55Jk2IAGGPPHoty5vSpaFHWlgayirAw6e67Pdq61aKaNU3Kl4/nN5AeUhSm586dm+jfHo9H58+fl9VqVdWqVQnTQACLjJT++sukmjU9rC0NZDHVq3u0Y4dFGzZY1LIlvdNAekhRmF61atV1xyIjIzV06FBVq1YtzYsCkHH27bPI5zOpfHkmHgJZTUiIVLWqR5s2WVSrlkn589M7DaS1FIXppISFhemFF15Qz5491b179zQsCUBG8fniN2opXNirvHl5k0X25nZL4eFZb5ffe+7xaPt2i9avt+ihh+idBtKa32FakqKionT16tW0qgVABjt71qRz58xq3NhldCmA4axWaeBAp9Fl+GXCBEeytwUHx/dOb9xo1dmzHoWH88EZSEt+T0CMjIzUDz/8oJo1a6Z5UQAyxp49ZpnNPkVEMMQDyMr+3TvdujW900Ba8msCoiTZbDbVrFlT/fr1S9UFx40bp4sXL2rs2LHat2+fhg8frsjISN1zzz0aOXKkrNZb6iwHkEJeb/x46VKlvAoONroaAOkpKEiqVs2j9eutOn3ao4IF6Z0G0orfExD9sWHDBn333Xe69957JUkDBw7UqFGjVKVKFb388suaO3euOnXqlCbXAnBjR4+aFR3NxEMgu6hWzaPffovvnW7blt5pIK2YU3piZGSkZs2apZEjR2r06NGaO3euIiMjU3yhS5cu6Z133klYRu/EiROKjY1N2FmxXbt2Wrp0aeqqB+C3vXvNCgryqWRJwjSQHTgc8cM9Dh2y6NQp1sEE0kqKeqb//vtvdenSRZcvX1apUqXk9Xr1zTffaMqUKZo5c6aKFCly08d49dVX1a9fP506dUqSdObMGYWHhyfcHh4ertOnT6f6B8iXLyzV9wlUWXGWeXYSGpr8BKGMvmZsrHTwoHT33VLOnDevy4ja00qg1m5k3bd67UD9nUtZv/Z69aRt26RNm+zq3Dnjr58c3t+yp6zyd09RmB47dqyKFy+ud999V3ny5JEkXbhwQS+99JLGjx+vd99994b3nzdvngoXLqzatWtr/vz5kiSf7/rxWiY/dow4fz5SXm/WH/sVHp5DZ8+yckqgCg/PoaiojF0lIDTUkew1d+0yy+22qWzZOEVF3ez5k/zjZH6BWrtxdd+o3aRMoP7OpexSe/XqFv36q1UHDsTpttvS5v3z1tqNg/e3bCjQco3ZbEq2AzdFYXrDhg366quvEoK0JOXNm1cDBw5Ujx49bnr/JUuW6OzZs2rdurUuX76s6OhomUwmnTt3LuGcs2fPqkCBAikpB8At2rPHorx5vSpUKOt/EAWQWJUqHm3ZYtG6dVY98gjLYgK3KkVh2uFwyGy+fni1yWSS233zSQzTp09P+P/z58/X5s2bNWbMGLVs2VLbtm1TtWrVtGDBAjVo0CAVpQPwx6VL0vHjZtWr52b7cCAbstulGjU8Wr3aquPHTSpalA/VwK1I0QTEWrVqacKECYk2aLly5YreeuutW1pneuLEiRozZowefPBBxcTEqGvXrn4/FoCU2bfPIkm6806PwZUAMEqVKh6FhPi0bh3L0QK3KkXPokGDBqlDhw5q2LChSpYsKUk6fPiw8uXLp2nTpqXqgu3atVO7du0kSeXKldM333yTypIB+Ova9uHFinmVK5fR1QAwis0m1azp0c8/W3XsmEnFi9M7DfgrRWG6cOHC+uGHH/T999/r4MGDCgoKUocOHfTQQw/Jbrend40A0sipUyZdumRWzZqMkwSyu0qV/jd2ulgxF8O+AD+l+PudsLAwdf7/dXTOnTun/Pnzp1tRANLHnj0WWa0+lS3L2tJAdhffO+3WypU2/fWXSbffTu804I8bjpnevHmzWrVqpT///DPR8VdeeUXNmjXT9u3b07U4AGnH7Zb27zerTBmvHIG7lC6ANFSxolc5csSPnU5ixVoAKZBsmN69e7eefPJJFS5cWKGhoYlu69Gjh4oUKaIePXpo//796V4kgFt3+LBZsbEmlS/PxEMA8azW+N7pU6fMOnqUcR6AP5IN0x988IGaN2+uTz755LodDmvUqKFp06apfv36mjx5croXCeDW7d1rVmioTyVK0P0E4H/onQZuTbJheufOnerWrdsN7/zEE09ox44daV0TgDQWFRXfM33nnR4lsWQ8gGzMYpFq1XLrn3/MOnKEFwggtZJ91kRHR183vOO/8ufPr8jIyDQvCkDa2rvXIq/XpIoVmXgI4HoVKniVM6dP69db6J0GUinZMH377bdr586dN7zzzp07Vbhw4TQvCkDa8fmkXbvMuu02r/Ll410SwPX+3Tt9+DC900BqJPuMadGihd59912dO3cuydvPnj2rSZMmqWnTpulWHIBbd/KkSRcumFWxIhMPASTvrru8ypWL3mkgtZJdZ7pbt25atmyZWrRoofbt26ty5crKkSOHLl++rN9//13ffvutihYtqieffDIj6wWQSrt2WWSz+RQRwRAPAMm71ju9bJlNhw+bVaoUrxlASiQbpm02m2bMmKF33nlH8+bNS7RteL58+fToo4/q2WefVUhISIYUCiD14uLi15aOiPCKzUoB3Ez58l5t3BjfO12ypJddEYEUuOEOiEFBQRo6dKgGDBigv//+W1euXFGePHlUvHhxmXiGAZne/v1muVwmhngASBGLRapd262lS206dMis0qXpnQZuJkXbidtsNpUsWTK9awGQxnbtsihvXq9uu40BkABSJr532qv16y0qVYreaeBmmLILZFFnz0onT5pVsSJvhgBSzmyWatf26MwZsw4eJCYAN8OzBMiitm+XzGYf24cDSLU77/QqTx4vK3sAKUCYBrIgj0fauVMqWdKrm+y9BADXudY7ffasWQcOEBWAG+EZAmRBhw+bFRUldjwE4Ldy5eidBlKCMA1kQbt2mRUWJt1xB2EagH+u9U6fO2fWn38SF4Dk8OwAspjISOnIEbOqVIl/MwQAf5Ur51XevPROAzfCWy2QxezZY5HPZ9LddxtdCYBAd613+vx5s/bvJzIASeGZAWQhPl/8EI+iRb3Km9foagBkBRER8b3TGzZY5GXkGHAdwjSQhRw7ZtKlS2ZVqsRyeADShtks1akT3zvN2GngejwrgCxkxw6LgoN9KluW7iMAaSciwqt8+eLHTtM7DSRGmAayiMhI6eBBs+66yyOr1ehqAGQlJlN87/SFC4ydBv6LZwSQRezcGT/xsHJlhngASHtly3qVPz9jp4H/IkwDWYDXK+3aZVGJEl7lyWN0NQCyon/3Tv/xB/EBuIZnA5AFHD5s1tWrJlWpQq80gPRTpoxX4eH0TgP/RpgGsoAdOywKC/OpVCne3QCkn2u90xcvmrVnDxECkAjTQMC7eFE6etSsihU97HgIIN2VLu1VwYJebdhgldttdDWA8XjrBQLcjh0Wmc0+Jh4CyBAmk1SvnltXrpi0axcxAuBZAASwuLj4iYcREV6FhRldDYDs4vbbfSpa1KuNG61yuYyuBjAWYRoIYHv2mBUXZ1LVqvRKA8g4JpNUt65bUVEm7dhhMbocwFCEaSBA+XzS9u0WFSrkVeHCPqPLAZDNFCvmU4kSXm3ebJHTaXQ1gHEI00CAOnrUpAsXzPRKAzBMvXpuxcSYtGmT0ZUAxiFMAwFq+3aLQkN9iohgOTwAxihc2KdSpTxav16KjTW6GsAYhGkgAF24YNLhw2ZVquSRheGKAAxUr55HTqe0dSsvRsieCNNAANq2zSKLRex4CMBw4eE+3XVX/OtSVJTR1QAZjzANBJioqPhVPO66y6vQUKOrAQDp3nslt1vavJneaWQ/hGkgwOzYYZHbbVK1avRKA8gc8ueXypf36vffLbp61ehqgIxFmAYCiMsVH6ZLlfIoXz6WwwOQedSu7ZbXK23caDW6FCBDEaaBALJnj1kxMSZVr06vNIDMJXduqWJFr3btMuvSJaOrATIOYRoIEF5v/ASfQoW8KlKEXmkAmU+tWm6ZTPROI3shTAMB4sABsy5eNKt6dY9MJqOrAYDr5cgRv8rQnj1mXbjACxWyB8I0EAB8PmnjRovy5vWqTBk2aQGQedWo4ZHVKq1fz8oeyB4I00AAOHzYrLNnzapZ0yMzz1oAmVhoqFS1qkd//GHRmTP0TiPr420ZyOSu9UrnzOlTuXL0SgPI/KpX9ygoyKe1a+mdRtZHmAYyuWPHTDp1yqyaNd1sHQ4gIAQFxQ/3OHzYouPH6Z1G1kaYBjK5jRutCgvz6a676JUGEDjuvtujsDCf1qyxyscCRMjCCNNAJnb8uEl//x2/goeVlaYABBCbLX4jlxMnzDp8mLiBrIvWDWRSPp+0dq1VoaE+VarEJi0AAk+FCl7lzu3VmjUWeflyDVkUYRrIpP76y6Tjx82qVcstm83oagAg9SwWqV49j86dM+uPP4gcyJpo2UAmdK1XOmdOnypWpDsHQOCKiPCqQAGv1q61ysOXbMiCCNNAJnTokFn//GNW7dpuxkoDCGgmk1S/vltXrpj0++/EDmQ9tGogk/H5pHXrLMqTx8sKHgCyhNtv96lYMa82brQqLs7oaoC0RZgGMpk//ojf7bBOHXY7BJA1XOudjo42ads2FsxH1sJbNZCJuN3Sr79aVbCgl90OAWQpt93mU+nSHm3ZYlFMjNHVAGmHMA1kItu2WXT1qkkNG7plYtMwAFlMvXoeuVzSpk30TiPrIEwDmUR0dPwbTKlSHhUvznZhALKe/Pl9Kl/eq+3bLbp61ehqgLRBmAYyiQ0brHK5pAYNWDsKQNZVp45bkrR+PUsVIWsgTAOZwIUL8UtGVarkVb589EoDyLpy5ZKqVPFo926zzp9nPBsCH2EaMJjPJ61aZZXV+r8eGwDIymrW9MhqjV8GFAh0hGnAYAcPmnX0qFn16nkUGmp0NQCQ/kJCpHvu8ejPPy3assXoaoBbQ5gGDORyxfdKh4d7VaUKY6UBZB/33ONRcLBPL79sdCXArSFMAwbatCl+Kbz773ezQQuAbMXhkGrV8mjFCmn1aoZ7IHDx9g0Y5OJFacsWi+6806OiRZl0CCD7qVzZo+LFpdGjHfLxMogARZgGDODzST/9ZJPFIjVsyKRDANmT1SqNHCnt2GHR4sUslYfARJgGDLB7t1nHjpnVsKFbYWFGVwMAxunSRYqI8GjMGLvc9C0gABGmgQwWFSWtXm1V0aJeVarkNbocADCUxSINHRqngwctmj3bZnQ5QKoRpoEMtmpV/E6HTZq4ZWK/AgDQgw+6Va2aRxMn2hUTY3Q1QOoQpoEMdPCgWfv3W1S7tkd58zLbBgAkyWSShg936uRJs6ZPp3cagYUwDWSQ6Ghp+fL4NaWrV2dNaQD4t7p1PbrvPrfefdehK1eMrgZIOcI0kAHiV++wyumUmjd3y8KSqgBwnWHDnLp40aQpU+xGlwKkGGEayAAzZ0oHDlhUt65H4eEM7wCApFSq5FWbNi599JFdZ84wqQSBgTANpLMTJ0zq00cqUsSre+5heAcA3MiQIU45ndI779A7jcBAmAbSkccj9ekTJLdbevBBF1uGA8BNlCzpU+fOLn35pU1Hj9I7jcyPt3YgHb37rl3r1lk1ebKUO7fR1QBAYBgwIE4WizR+vMPoUoCbIkwD6WTTJosmTLCrXTuXunUzuhoACByFCvn05JNx+vZbq/bsIaogc6OFAung0iWpd+8gFSni04QJsWzOAgCp9PzzccqZUxozht5pZG6EaSCN+XxS375B+ucfkz7+OEY5chhdEQAEnty54wP18uVWbdzIeqLIvAjTQBr76CObliyxafhwp6pV8xpdDgAErF694lSwoFejRtnlY1VRZFKEaSANbdpk0RtvONS8uUu9e7uMLgcAAlpIiNS/f5w2b7ZqxQp6p5E5EaaBNHL2rElPPRWkokV9eu89xkkDQFro3Nml22/3atQoh7x82YdMiDANpAG3W3rmmSBduGDStGkxypnT6IoAIGuw2aShQ53at8+i+fOtRpcDXIcwDaSBkSMdWrPGqgkTYlWxIl0nAJCWWrd2q0IFj8aOdSguzuhqgMQI08AtmjfPqo8/tqtXrzh16OA2uhwAyHLMZmn4cKeOHTNrxgyb0eUAiRCmgVuwc6dZ/fsHqU4dt0aOdBpdDgBkWffd51GdOm69/bZdkZFGVwP8D2Ea8NO5cyZ17x6sfPl8mjo1VjY6SwAg3ZhM0rBhTp09a9bUqXajywESEKYBP7hc0pNPBuncOZM+/zxG4eEsgAoA6a16da+aNXNp8mS7LlwwuhogHmEa8MOIEQ6tW2fVW2/FqnJlJhwCQEZ5+eU4RUZK773HNuPIHAjTQCrNmWPV1Kl2Pf10nB55hAmHAJCRypXz6tFH3Zo2zaYTJ1jQH8YjTAOp8NtvZg0YEKR69dx67TUmHAKAEQYNcsrnkyZOZOw0jEeYBlLo9On4CYcFC8ZPOLSydwAAGKJYMZ969HDp669tOnCAKANj0QKBFHA6pR49gnXliklffBGjfPmYcAgARnrxxTgFB0tjxtA7DWMRpoGb8PmkoUMd2rrVovfei9VddzHhEACMlj+/T88+G6fFi23avp04A+PQ+oCbmD7dpq++sqtvX6ceeogJhwCQWfTuHad8+bwaNYqVPWAcwjRwA+vXWzR8uENNmrg1ZEic0eUAAP4lLEzq1y9Oa9ZYtXq1xehykE0RpoFk/P23ST17Bun2272aMiVGZp4tAJDpdOvmUtGiXo0e7ZCP6SwwAPEASEJ0tNS9e7Di4kz68ssY5cxpdEUAgKQ4HNKAAU7t2GHRjz+yzBIyHmEa+A+fT+rXL0i7d5v18ccxKl2arg4AyMwefdStUqW8GjfOLo/H6GqQ3RCmgf+YPNmu776zadiwODVuzKsyAGR2Vqs0eLBT+/ZZtGABvdPIWIRp4F9WrrRo1Ci72rRx6fnnmXAIAIHioYfcuusuj8aNc8jlMroaZCeEaeD/HT1q0jPPBKt8ea/eeSdWJpPRFQEAUspsloYMceroUbNmz7YZXQ6yEcI0ICk2VurVK1iS9PnnMQoNNbggAECqNWniUbVqHr31ll2xsUZXg+yCMA1IGj7coZ07LZo8OUYlSjDhEAACkckkDR3q1MmTZn35Jb3TyBiEaWR7c+da9eWXdj3/vFNNmzLhEAACWYMGHtWv79akSXZFRRldDbIDwjSytX37zBo0KEi1a7s1dCgTDgEgKxg61Klz58z69FO70aUgGyBMI9uKjJR69gxSaKhPn3wSKyurKQFAlnDPPV41aeLW5Ml2Xb5sdDXI6gjTyJZ8Pumll4J0+LBZn3wSq4IFGScNAFnJ4MFOXb5s0pQp9E4jfRGmkS199plNCxbYNHRonOrWZZw0AGQ1FSt61bq1Sx9/bNfZs6x1ivRDmEa2s2uXWa++6tADD7jZmAUAsrDBg52KjZXee4/eaaQfwjSyleho6emng5Qvn0/vvx8jM88AAMiySpf26bHH3Pr8c5tOnqR3GumDKIFs5dVXHTp0yKzJk2OVN6/R1QAA0lv//k55vdLbb9M7jfRBmEa28eOP8etJP/usSw0aME4aALKD4sV96tLFpVmzbDpyhN5ppD3CNLKFf/4xqV8/hypW9GjoUKfR5QAAMlC/fnGy2aQJExxGl4IsiDCNLM/rlZ5/PkgxMSZ99FGs7HzTBwDZSsGCPvXsGadvv7Xqjz+IPkhbtChkeR9/bNPq1Va9/rpTZcp4jS4HAGCAPn3iFBYmjRtHjwrSFmEaWdquXWaNHu1Qs2Yude3qMrocAIBB8uaVnnkmTj/8YNPvvxN/kHbYQBkBI2fOUDkcKX8BjImR+vSR8uWTZsywKX9+WzpWBwDI7J55Jk7Tptk0ZoxDs2fHGF0OsgjCNAKGw2HWwIEpnzz4yy8W7dtnVfv2cRo3ztjtwpn0AgDGy5FDev75OI0cGaSNGy2qVYuVnXDr+J4DWdKJEyZt3WpR5coe3X67sUEaAJB5PPGESwULevXmm3b5eHtAGiBMI8txuaSlS63KmVNq2NBtdDkAgEwkODh+qbyNG636+WeL0eUgC8jQMD158mS1aNFCLVq00Pjx4yVJ69evV6tWrdSkSRO98847GVkOsqh16yy6eNGspk1dLIMHALjO44+7VLy4V2PGOOidxi3LsDC9fv16rV27Vt99950WLFigPXv2aPHixXr55Zc1ZcoULVmyRLt379bq1aszqiRkQSdPmrRtW/zwjhIleIUEAFzPbpcGDHDq998t+uEHpo/h1mRYmA4PD9eQIUNkt9tls9lUqlQpHT16VCVKlFCxYsVktVrVqlUrLV26NKNKQhZzbXhHWJjUoAHDOwAAyXvkEbfKlPFo3Di7PMxDxC3IsI9jZcqUSfj/R48e1ZIlS9SlSxeFh4cnHC9QoIBOnz6dqsfNly8szWrM7MLDcxhdguFCQ5NfFeOnn6QLF6QuXaS8eTPf6hk3qj2zX9OI2tNKoNZuZN23eu1A/Z1L1G7U9Y16fxs9Wnr0UWnFihx6/HFDSsjWskquyfDvNg4cOKCnn35agwcPltVq1ZEjRxLdbjKZUvV4589HyuvN+l/nh4fn0NmzV40uw1Dh4TkUFZX00ngnT5q0YYNNlSp5VbCgW1FRGVzcTTmSrT29hIam1TUzvva0E6i1G1f3rbebQP2dS9Tuv1trNw7D3t8aNJAqVgzR8OEmNWoUJRvbEWSYQMs1ZrMp2Q7cDJ2AuG3bNnXv3l39+/dX27ZtVbBgQZ07dy7h9jNnzqhAgQIZWRKyALf7f8M7WL0DAJBSZrM0dKhTf/1l1qxZJGn4J8PC9KlTp/Tcc89p4sSJatGihSSpcuXKOnLkiP766y95PB4tXrxYDRo0yKiSkEVs3GjRhQvxq3c4AvcbWgCAAe6/36Pq1T16+227YtgUEX7IsGEe06ZNk9Pp1NixYxOOdejQQWPHjtXzzz8vp9Ophg0bqlmzZhlVErKAs2dN2rzZovLl2ZwFAJB6JpM0bJhTbdqE6PPPberd22V0SQgwGRamhw8fruHDhyd528KFCzOqDGQhPp/0009WORzSvfcyvAMA4J86dTxq2NCt996zq0sXl8Kyz9oGSAPsgIiA9fvvZp08ada997oVEmJ0NQCAQDZ0qFPnz5v1ySfs9oXUIUwjIEVGSr/+alXx4l6VL+81uhwAQICrWtWrZs1c+uADuy5eNLoaBBLCNALSqlVWeTzSAw+4lcrVFAEASNKQIXGKjJQ++IDeaaQcYRoB59Ahs/7806LatT3Kk4dJhwCAtFG+vFdt27r16ad2nT5NTw1ShjCNgBIXJ61YYVW+fF5Vr87+rwCAtDVokFNOp/Tuu/ROI2UI0wgo69ZZdPWqSU2auGWxGF0NACCrKVnSp06dXPryS5uOH6d3GjdHmEbA2LZN+u03iypX9qhIEYZ3AADSx0svxUmS3nqL3mncHGEaAcHjkZ55RgoOlurXZ01pAED6KVLEp+7dXZo926ZDh+idxo0RphEQZsywaetW6b773AoKMroaAEBW98ILcXI4pPHjHUaXgkyOMI1M7+xZk95806H77pPKlWNNaQBA+itQwKennorTd9/ZtHs3cQnJo3Ug03vjDYciI6XJk8Wa0gCADPPss3HKmdOncePonUbyCNPI1DZtsmj2bJt6945T+fJGVwMAyE5y55b69InTsmVWbd1KZELSaBnItNxuadAgh4oU8SbMrAYAICP16hWn/Pm9GjOG3mkkjTCNTOvTT23at8+iN95wKjTU6GoAANlRWJj04otxWrPGqjVr2OAA1yNMI1P65x+Txo936P773WrRgqXwAADG6dbNpdtu8+rNNx3ysc0B/oMwjUzptdcccrmkN9+MZdIhAMBQQUFS//5x2rbNop9+oncaiRGmken8+qtF331n0wsvxOmOO+gCAAAYr0MHl26/PX7stJdVWvEvhGlkKk6nNGSIQ7ff7tXzzzPpEACQOdhs0qBBTu3ZY9HChVajy0EmQphGpvLRR3YdPGjRmDGx7HQIAMhU2rZ16847PRo3ziE303nw/wjTyDSOHTPp7bftatHCpfvv9xhdDgAAiVgs0pAhcTp0yKzZs21Gl4NMgjCNTGP4cIdMJmnUKKfRpQAAkKRmzdy65x6Pxo+3Kzra6GqQGRCmkSn89JNFS5fa9NJLcSpShEmHAIDMyWSSXn3VqX/+MWvqVLvR5SATIEzDcDEx0tChQSpb1qNnnmHSIQAgc6tVy6NmzVx67z27LlwwuhoYjTANw737rl3Hjpk1bpxTdj7kAwACwMsvxykqSnrnHbYZz+4I0zDUoUMmTZ5s18MPu1S3LpMOAQCBoVw5rzp0cGn6dJuOHWN3seyMMA3D+HzS4MFBcjikESOYdAgACCyDBsXJbJbGjqV3Ojtj1XEYZuFCq3791aoxY2JVsCCTDgEgO3K7pfDwHEaX4ZecOb168sk4TZ5sV+/eZlWsyNaI2RFhGoaIjJReecWhihU96t7dZXQ5AACDWK3SwIGB+e3khAkOvfBCnGbMsGv0aIdmz44xuiQYgGEeMMT48Q6dPm3S+PGxsliMrgYAAP/kyiX17evUqlVWrVnDG1p2RJhGhtu716ypU216/HGXqlXjKzEAQGB74gmXihb16vXXHfLytpbtEKaRobxeadAgh3Ln9mnYsMD8Wg8AgH8LCpIGD3bq998tWrCAEbTZDWEaGWruXKs2b7bqlVecypvX6GoAAEgb7du7VaGCR6NGORTD0OlshTCNDHPxojRypEPVq3vUoYPb6HIAAEgzFov0xhtOHT9u1scfswNZdkKYRoYZPdqhS5fiJx2aaXkAgCymbl2PHnzQpXfftev0aTZyyS6INMgQv/1m1owZNvXq5dJddzE7AwCQNb32mlNxcdLYsfROZxeEaaQ7j0caNChIBQr4NGgQkw4BAFlXyZI+PfGES7Nm2bR7NzErO+CvjHT3+ec27dxp0RtvOJUjMDe5AgAgxfr3dypPHp9ee80hHxv8ZnmEaaSrf/4x6c03HWrQwK3WrZl0CADI+nLnlgYOjNOaNVYtW8ZGLlkdYRrpauhQh1wuafz4WJmYiwEAyCa6dnWpTBmPRowIUlyc0dUgPRGmkW6WLLHqhx9sGjAgTiVL8j0XACD7sNmkESOcOnzYrM8/txldDtIRYRrp4urV+F7pO+/0qHdvPpIDALKfxo09atjQrYkTHbp40ehqkF4I00gXb77p0D//mPT227Gy8YEcAJANmUzS6687deWKNGaMw+hykE4I00hzW7ea9dlnNvXs6VK1aqwpDQDIvu6806uePV364gubfv+d2JUV8VdFmnK5pP79g1S4sE8vv8ya0gAADB7sVP78Pg0eHCQvfUxZDmEaaeqDD+zat8+iceNiFRZmdDUAABgvZ874yYi//WbRzJmMfcxqCNNIM4cPm/TWW3a1auVS06Yeo8sBACDTaN/erdq13Ro1yqELF4yuBmmJMI004fVKAwYEyeGQ3nyT4R0AAPybySSNHRs/GXH0aCYjZiWEaaSJL76wae1aq1591amCBVlTGgCA/7rzTq+efNKlr76yads2IlhWwV8St+yvv0waOdKhhg3d6tLFZXQ5AABkWoMGxXc6DR4cJA8jIrMEwjRuidcr9e0bJLNZeucdtgwHAOBGwsKkkSOd2rnToi+/ZDJiVkCYxi2ZPt2mdeuseuMNp4oWZXgHAAA306aNW/Xru/Xmmw6dPUsvVKAjTMNvR46Y9MYbDjVq5FanTgzvAAAgJUwmacwYp6KjpddeYzJioCNMwy/XhndYrdLbbzO8AwCA1Chb1qvnn4/TN9/YtGqVxehycAsI0/DLtGk2bdhg1RtvxOq22xjeAQBAavXrF6cyZTwaODBIkZFGVwN/EaaRaocPmzRqlEONG7vVoYPb6HIAAAhIDof01ltO/f23WePGMdwjUBGmkSoej/Tii0Gy2aS33mJ4BwAAt6JWLY969IjTJ5+w9nSg4q+GVHnvPbs2bbLqzTdjVbgwwzsAALhVw4c7VbiwTy++GKTYWKOrQWoRppFiW7aYNX68Xe3aufTIIwzvAAAgLeTIET+Z/88/LQz3CECEaaTIlStS797BKlLEp/HjGd4BAEBaatTIoy5d4jRlik2bNxPPAgl/LdyUzycNGhSkEydM+vDDGOXMaXRFAABkPSNHxm+A9sILwYqONroapBRhGjc1d65V8+fbNHBgnKpX9xpdDgAAWVJYmPTuu7E6fNisN95guEegIEzjhg4fNmnIkCDVru3Wiy/GGV0OAABZWr16Hj31VJymTbNrxQo2cwkEhGkkKy4ufpy01SpNmRIrC89pAADS3fDhTt15p0cvvBCkM2eYpJTZEaaRrHHj7Nq+3aK3345VkSIsgwcAQEYICpI++ihWV6+a1LdvkHy8BWdqhGkkadUqiyZPtqtLlzi1asUyeAAAZKQ77/RqxAinVqyw6tNPbUaXgxuwGl0AMlbOnKFyOG78GerYMenZZ6UKFaSPPrIrJMSeQdUBAIBrnnjCpZ9/tmrkSIeqV/eoShUWAciMCNPZjMNh1sCBzmRvd7ul2bNtiow0qUYNl157LfN8tzRhAjObAQDZh8kkvfdejBo3DlWvXsFasSJKuXMbXRX+i2EeSOSXX6z65x+zmjVzK0+ezBOkAQDIjvLmlaZOjdGpUya98ALjpzMjwjQS7Nlj1o4dFt1zj1tly/JVEgAAmUG1avHjp5cutemDDxg/ndkQpiFJOnXKpOXLrSpe3Kv69T1GlwMAAP6lVy+XWrVyadQoh375hbVqMxPCNBQVJX3/vU2hoVLLli7WkwYAIJMxmeJ3R4yI8Oqpp4J1+DDrT2cWhOlszuOJD9KxsVLbti6FhBhdEQAASEpYmPTllzEym33q2jVYV68aXREkwnS25vNJy5dbdfKkWQ8+6FZ4OLMaAADIzEqU8OnTT2N16JBZvXsHy8PITMMRprOxTZss2rPHojp13IqIYMIhAACBoF49j95806nly60aNszBCh8GY53pbOqPP8xau9aq8uU9ql2bj7UAAASSHj1cOnbMrA8+sKtYMa+ee85ldEnZFmE6Gzp50qSlS60qUsSrJk3cMjGHAQCAgPPKK06dOGHSyJFBKlLEpzZt3EaXlC0RprOZffuk+fNtCgvzqXVrl6y0AAAAApLZLL33Xqz++cek554LUs6cMWrUiG+bMxpjprORU6dMato0/snXvj0rdwAAEOiCgqQZM2JUrpxX3bsHa/161rfNaITpbOLSJalDh2BduiQ9/LBLuXMbXBAAAEgTuXJJc+bEqHhxrzp3DtZvvxHvMhK/7WwgMlLq2DFEBw+a9d13UsGCTPsFACAryZ/fp3nzYpQvn0+PPRaibduIeBmF33QWFxMjde0arB07zPrkk1jdf7/RFQEAgPRQuLBP330Xrdy5fXrkkRBt3MiQj4xAmM7C4uKknj2DtW6dRe+9F6sWLZjlCwBAVlasmE8LF0arUCGvOnQI1q+/EqjTG2E6i4qLk3r1CtKKFVZNmODUI48QpAEAyA4KF/ZpwYIYlSjhVadOwVqwgKW70hNhOgtyOuN7pJcutWnMmFh17cpC7gAAZCcFCvi0YEG0qlb16KmngvXBBzZ2SkwnhOksJjZWeuKJYC1bZtW4cbHq2ZMgDQBAdpQnjzR3boxat3Zp5MggDR3qkJsvqtMc/f5ZSGSk1L17sH791aqJE+mRBgAguwsKkj7+OFZFivg0ZYpdf/4ZvyBB/vx0U6cVeqaziAsXpEceCfn/yYYxBGkAACApfrO2ESOcev/9GG3datEDD4To99+JgGmF32QWcOqUSW3ahGj3brOmT49Rhw58hwMAABJ77DG3Fi2KlskktWwZomnTGEedFgjTAW7vXrMefDBEf/9t1uzZMWrWzGN0SQAAIJOqXNmr5cuj1aCBR0OHBqlLl2CdO2cyuqyARpgOYL/8YlHLliHyeqWFC6NVty5BGgAA3Fj+/D599VWM3nwzVqtXW9SwYYiWLGEanb8I0wHqq69s6tQpWMWLe7V0abQqVvQaXRIAAAgQJpPUq5dLy5ZFq2BBn7p3D1avXkE6c4Ze6tTiY0iAcbmkV15x6LPP7LrvPrc+/TRGOXIYXRUAAAgUOXOGyuGI709t2FD67Tdp4kRp5Eib1qyxadQo6amnJGs6p8Tw8NQHGKfTqytXotKhGv8RpgPI+fMm9eoVpHXrrHr22TgNH+5M94YOAACyFofDrIEDndcd79TJpBUrrHruObNee82rRo3cKl48fWYohoY6FBV1fQ03M2GCIx2quTVEsQCxYUP80nfnzpn0wQcxbA8OAADSVL58Pj36qEsHDpj1yy9WzZ1rV8mSHtWr51GBAiz7kRzGTGdyPp/04Yc2NWggWSzS4sXRBGkAAJAuTCapbFmvevSIU/36bp04YdaXX9q1aJGVVT+SQc90JnbunEn9+gVp2TKr2rSRJkyIUq5cRlcFAACyOptNqlnTo8qVPdq61aJt2yzav9+i0qU9qlnTo8KF6am+hjCdSa1cadELLwTp8mWT3ngjVsOGBencOaOrAgAA2UlQkFSvnkdVq3q0fbtF27dbdPCgRbfd5lWVKh6VLevN9vO3svmPn/lERkqjRsWv1nHnnR7NnRuju+7yymQKMro0AACQTYWESHXrelS9uke7dlm0Y4dZS5bY9PPPPlWoEN+DnTu30VUagzCdiaxebVH//kH6+2+Tnn46TsOGORVEhgYAAJmE3S5VqxbfU33smEk7dli0datFW7ZYdMcdXlWo4FWpUtmrtzob/aiZ14UL0htvODRzpl2lSnn1/fcxqlWL3QwBAEDmZDJJJUr4VKKEW1evSrt2WbRzp0WLFllkt/tUpoxX5ct7VKyYT+YsvtwFYdpAXq80Z45Vr7/u0KVLJj33XJwGDXIqONjoygAAAFImRw6pTh2PatXy6O+/Tdq3z6I//zRrzx6LQkN9KlfOo4gIrwoX9smUBRcEIUwbZMsWs0aMCNKWLRbVqOHW+PFOlS/PluAAACAwmc3/662+/37p8GGz9u0za8cOi7Ztsyo01KfSpb0qU8ajcuWMrjbtEKYz2OHDJo0a5dDixTYVKODVu+/G6LHH3Fn+KxAAAJB92GxSRIRXERFexcbGB+sDB8zas8es33+3KChIKlnSqtKlvbr9dq/sdqMr9h9hOoOcPWvSW2/Z9eWXNtnt0qBBTvXuHafQUKMrAwAASD9BQVL58l6VL++VyyX99ZdZR47YtH+/WXv3WmS1+nT77V6VLu1VyZJehYQYXXHqEKb9lDNnqByOm3cnX74svf++NH68FB0tPfWU9NprUsGCDkmp218+PDyHn9UCAAAYz2aTSpf2qnJl6erVOB0/btKBAxYdPGjWwYMWST7ddptPpUrFrwqSL1/mH2dNmPaTw2HWwIHOZG+PipK2bbNoxw6L4uJMKl3ao/r1PQoN9WnixNRfLzTUoaio5K+XUhMmpC7AAwAApAezWSpe3Kfixd1q1Eg6c8akgwfNOnzYrDVrrFqzRsqd26dSpTwqVcqrIkUy566LhOk0dvmytGWLVbt3m+V2x48XqlHDo4IFM2cDAAAAMJrJJBUs6FPBgh7VrevR1avSoUNmHTr0vwmMDodPdrvUv7/R1SZGmE4DPp/0zz8mbd9u0b59ZplM0l13eVW9ukd58xKiAQAAUiNHDqlKFa+qVPEqLi5+nPWhQ2ZFRlqMLu06hOlbEBcn7dsXPyv1zBmzbDafqlb16J57PMrB8GYAAIBbZrdLZcp4VaaMVxMmWHT2rNEVJUaY9sMff5g1cqQ0dapdcXEm5c/vVePGLpUvH9hLuwAAACB1CNOp9M8/JjVqFCKL5dpsVI9uuy3zzzQFAABpy+1mpS0QplOtYEGfvvoqRvffH6Jx49xGlwMAAAxiteqGK3tlVqzslbbYdy+VTCapUSOP8uc3uhIAAAAYjTANAAAA+IkwDQAAAPiJMA0AAAD4iTANAAAA+IkwDQAAAPiJMA0AAAD4iTANAAAA+ClThOlFixapefPmeuCBBzRz5kyjywEAAABSxPAdEE+fPq133nlH8+fPl91uV4cOHVSzZk2VLl3a6NIAAACAGzI8TK9fv161atVS7ty5JUlNmzbV0qVL1adPnxTd32w2pWN1N5YnT8ZdKyREstvT5rEysu60Ru0pR5uJF6i1G1V3WrSbQP2dS9Tur1ttN/zeM57Rdd9KmzEi+93omiafz+fLwFqu8/HHHys6Olr9+vWTJM2bN087d+7UG2+8YWRZAAAAwE0ZPmY6qSxvMhnX2wwAAACklOFhumDBgjp37lzCv8+cOaMCBQoYWBEAAACQMoaH6Tp16mjDhg26cOGCYmJitHz5cjVo0MDosgAAAICbMnwCYsGCBdWvXz917dpVLpdL7du3V6VKlYwuCwAAALgpwycgAgAAAIHK8GEeAAAAQKAiTAMAAAB+IkwDAAAAfiJMAwAAAH4iTAMAAAB+IkxnIpGRkWrZsqWOHz8uSVq7dq0eeughtWzZUoMGDVJcXJwk6eTJk+rcubOaNWum3r17KyoqysiyYaD/tpn58+erefPmatWqlUaNGiW32y2JNoP/mTx5slq0aKEWLVpo/PjxkqT169erVatWatKkid55552Ec/ft26eHH35YTZs21bBhwxLaE7KfpNqNJLlcLnXr1k2bNm1KOEa7gZR0m5kzZ45atmypVq1aaejQoQm5JtDbDGE6k/j999/VsWNHHT16NOHYsGHD9M4772jx4sWKjY3V999/L0kaOXKkOnXqpKVLl6pChQqaMmWKQVXDSP9tM4cPH9akSZP0+eefa9GiRXK73ZoxY4Yk2gzirV+/XmvXrtV3332nBQsWaM+ePVq8eLFefvllTZkyRUuWLNHu3bu1evVqSdLAgQP1yiuvaNmyZfL5fJo7d67BPwGMkFS7+emnn3T48GF16dJF27dvT3Q+7QZJtZlPPvlE06ZN0+zZs7Vw4UJ5vV7NmjVLUuC3GcJ0JjF37ly99tpribZS93g8ioyMlMfjkdPplMPhkMvl0pYtW9S0aVNJUrt27bR06VKjyoaB/ttm9u/frypVqiT8+7777tOKFStoM0gQHh6uIUOGyG63y2azqVSpUjp69KhKlCihYsWKyWq1qlWrVlq6dKlOnDih2NhYValSRRLtJjtLqt2cPHlS33zzjXr16qXKlSsnnEu7gZR0m4mLi9OIESMUFhYmk8mksmXL6uTJk1mizRi+AyLijR49+rpjI0aMUJcuXRQWFqaiRYuqWbNmunjxosLCwmS1xv/pwsPDdfr06YwuF5nAf9tMuXLlNHbsWJ06dUoFChTQ0qVLde7cOdoMEpQpUybh/x89elRLlixRly5dFB4ennC8QIECOn36tM6cOZPoOO0m+0qq3cyePVu33367JOmLL75IuJ12A+nmbebChQuaOXOmxowZkyXaDD3TmdTZs2c1ceJELV68WGvXrlXlypU1ZswYJbVhpclkMqBCZDZ33HGH+vfvr969e6tz586KiIiQzWajzeA6Bw4c0BNPPKHBgwerePHi191uMploN7jOv9vNtVD0X7Qb/FtSbeb06dPq1q2bHn74YdWsWTNLtBnCdCa1detWlS1bVsWLF5fZbNajjz6qzZs3K2/evAlDP6T40P3voSHIvpxOpypVqqQFCxZo9uzZuu2221SsWDHaDBLZtm2bunfvrv79+6tt27YqWLCgzp07l3D7mTNnVKBAgeuO026yt/+2m+TQbnBNUm3m0KFD6tixo9q2bavnnntOUtZoM4TpTKps2bLauXNnQgNbuXKlKlasKJvNpnvuuUdLliyRJC1YsEANGjQwslRkEtHR0erWrZsiIyMVFxenGTNmqHnz5rQZJDh16pSee+45TZw4US1atJAkVa5cWUeOHNFff/0lj8ejxYsXq0GDBipSpIgcDoe2bdsmiXaTnSXVbpJDu4GUdJuJjIxUz5499eKLL+qJJ55IODcrtBnGTGdSpUqV0osvvqiuXbvKYrGoRIkSev311yVJr732moYMGaIPP/xQhQsX1ttvv21wtcgM8uTJoz59+uixxx6T2+1OWH5Ios0g3rRp0+R0OjV27NiEYx06dNDYsWP1/PPPy+l0qmHDhmrWrJkkaeLEiRo+fLiioqJUvnx5de3a1ajSYaDk2k3Hjh2TPJ92g6TaTPPmzXXu3Dl99tln+uyzzyRJjRo10osvvhjwbcbkS2qwCgAAAICbYpgHAAAA4CfCNAAAAOAnwjQAAADgJ8I0AAAA4CfCNAAAAOAnwjQA3KIuXbpo2LBhSd7WvXt3DRkyJOHfERERyf739NNPJ5zXqFEjTZkyJdFjOZ1OffLJJ2rTpo2qVq2qu+++Ww8//LBmzpwpr9ebcN6mTZsUERGhf/7557p6tm7dqoiICB0/fjzhvBv9t2nTpmR/7ilTpmjSpEkp/TWlyq+//qpnnnkmXR4bANIS60wDQAZ79dVX1aRJk+uOOxyOZO8TGRmpLl266MqVK+rTp4+qVq0qSdq4caMmTZqk3bt3a8yYMamq4+6779batWsT/v3888+rSJEiicJ/rly5krzvoUOHNHfu3ITNgNJagwYNNH36dC1cuFAPPfRQulwDANICYRoAMlhYWJjCw8NTdZ/x48frxIkT+uGHHxLdt0SJErrjjjvUpUsXPfHEEypTpkyKH9Nutyd6LJvNpqCgoBTVNnnyZLVp00YhISGp+jlSo0ePHho5cqRatGghi8WSbtcBgFvBMA8AyOQiIyO1YMEC9ejRI8mgW6NGDS1dujRVQfpWnDp1SsuWLdODDz6Y6PiCBQvUqlUrVapUSU2bNtV3330nSTp+/LgiIiK0ZMkSPfTQQ6pYsaLat2+vI0eO6P3331etWrVUo0YNjRo1KtHj1a5dW5GRkfrpp58y5OcCAH8QpgEgk9u1a5ecTqdq1aqV7Dl33HFHhtWzevVqFShQQBEREQnHlixZomHDhql9+/ZatGiRevXqpeHDhycaRjJp0iQNHz5c8+bN06VLl/TYY4/p+PHjmjVrlvr166cZM2Zo9erVCefbbDbVqVNHq1atyrCfDQBSi2EeAJAGFixYkOT4YafTed2Y3+HDh2vEiBHXnfvuu++qQYMG1x0/f/68JClPnjyJjt9zzz3yeDwJ/3766acTTdpr1qyZTCZTovv8e6Kiv37//XeVLl060bEvvvhCrVq1Urdu3STFDz+JiopKdL1evXqpRo0akqQHHnhAX331lV5//XU5HA6VLFlS77//vg4cOKCGDRsm3KdMmTL6/vvvb7lmAEgvhGkASAONGzfWSy+9dN3xwYMHX3esX79+uv/++687XqBAgSQfO3fu3JKky5cvJzo+f/58+Xw+SfGrhrhcrkS3f/rpp9cNC9mzZ4/69euX/A+SAufPn78u2P/555/XfWjo3r27pPhhHpJUvHjxhNtCQkJUoECBRJMug4KCFBcXl+gx8ubNq3Pnzt1SvQCQngjTAJAGwsLCVKJEieuOBwUFXXcsX758SZ6bnAoVKshms2nr1q2qXLlywvF/h1Or9fqX86JFi6pQoUKJjp09ezbF102OyWS6roc7qev/13/PMZtvPtLQ4/Gk6DwAMAqvUACQyeXOnVutW7fW9OnTk+yljYyMVFRUVIbVEx4ergsXLiQ6VqpUKe3evTvRsUGDBl03qTC1Ll68mGyPPQBkBvRMA0AGi4yMTLKH2Gw2K1++fEneZ+jQoTpw4IAefvhhPffcc7rnnntkMpm0efNmffzxx4qJiVHFihXTu3RJUqVKlbRixYpEx3r16qW+ffuqUqVKqlu3rjZu3KgffvhBU6dOvaVr7d27V5UqVbqlxwCA9ESYBoAM9vrrr+v111+/7nhISIi2b9+e5H3CwsI0c+ZMzZkzR99++63Gjx8vl8ul4sWLq0WLFnr88cdVsGDB9C5dknTvvffqtdde0/79+xNW9GjcuLFeffVVTZs2TW+++aaKFy+u8ePHq06dOgljplPL7XZr27ZtGj16dFqWDwBpyuS7NnsFAIAUevHFF3XbbbclOcEyraxYsUJjx47V0qVLUzQmGwCMwJhpAECq9enTR4sWLVJkZGS6XeOLL75Qnz59CNIAMjXCNAAg1cqUKaMOHTrok08+SZfHX716tYKCgtSmTZt0eXwASCsM8wAAAAD8RM80AAAA4CfCNAAAAOAnwjQAAADgJ8I0AAAA4CfCNAAAAOCn/wO9ThMBPFZ6sQAAAABJRU5ErkJggg==",
            "text/plain": [
              "<Figure size 864x792 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.figure(figsize=(12,11))\n",
        "plt.title('Height Distribution - All Players', fontsize=20)\n",
        "sns.histplot(data=working_df['HEIGHT'], kde= True,color=\"blue\")\n",
        "plt.xlabel('HEIGHT (cm)', fontsize= 15)\n",
        "plt.ylabel('Count of Players', fontsize= 15)\n",
        "sns.set_theme(style='dark')"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "5350e8b5",
      "metadata": {},
      "source": [
        "##### Distribution of active NBA Players per country"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "396ece64-3cbb-4c17-9fe1-960ab8998982",
      "metadata": {
        "id": "396ece64-3cbb-4c17-9fe1-960ab8998982"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\320305545.py:15: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  for_geo_pandas['COUNTRY'] = for_geo_pandas['COUNTRY'].replace('Bosnia and Herzegovina','Bosnia and Herz.')\n",
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\320305545.py:16: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  for_geo_pandas['COUNTRY'] = for_geo_pandas['COUNTRY'].replace('USA','United States of America')\n",
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\320305545.py:17: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  for_geo_pandas['COUNTRY'] = for_geo_pandas['COUNTRY'].replace('Czech Republic','Czechia')\n",
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\320305545.py:18: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  for_geo_pandas['COUNTRY'] = for_geo_pandas['COUNTRY'].replace('DRC','Dem. Rep. Congo')\n",
            "C:\\Users\\Fede\\AppData\\Local\\Temp\\ipykernel_3736\\320305545.py:19: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  for_geo_pandas['COUNTRY'] = for_geo_pandas['COUNTRY'].replace('Saint Lucia','Bahamas')\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<AxesSubplot:title={'center':'Distribution of active NBA Players per country'}>"
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": "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",
            "text/plain": [
              "<Figure size 1296x1152 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# get a frame with data as geometry, names of the countries, iso names, etc.\n",
        "world_map = gpd.read_file(gpd.datasets.get_path(\"naturalearth_lowres\"))\n",
        "for_geo_pandas = working_df # create an object to work on plot\n",
        "\n",
        "# Rename some values to make a proper merge. (i.e: 'USA' to 'United States of America')\n",
        "# For the sake of simplicity, 'Saint Lucia' was merged with Bahamas \n",
        "# (Saint Lucia shares the same geographical space with Bahamas, but does not appear in our world_map frame)\n",
        "\n",
        "for_geo_pandas['COUNTRY'] = for_geo_pandas['COUNTRY'].replace('Bosnia and Herzegovina','Bosnia and Herz.')\n",
        "for_geo_pandas['COUNTRY'] = for_geo_pandas['COUNTRY'].replace('USA','United States of America')\n",
        "for_geo_pandas['COUNTRY'] = for_geo_pandas['COUNTRY'].replace('Czech Republic','Czechia') \n",
        "for_geo_pandas['COUNTRY'] = for_geo_pandas['COUNTRY'].replace('DRC','Dem. Rep. Congo')\n",
        "for_geo_pandas['COUNTRY'] = for_geo_pandas['COUNTRY'].replace('Saint Lucia','Bahamas')\n",
        "\n",
        "# Create a series of values per country, rename column and create index\n",
        "countries_and_players = pd.DataFrame(for_geo_pandas.COUNTRY.value_counts(), columns=['COUNTRY'])\n",
        "countries_and_players.rename(columns={'COUNTRY':'NUMBER_OF_PLAYERS'},inplace=True)\n",
        "countries_and_players['COUNTRY'] = countries_and_players.index\n",
        "\n",
        "# Merge world_map with for_geo_pandas\n",
        "merge_to_plot= world_map.merge(countries_and_players, how=\"left\", left_on=['name'], right_on=['COUNTRY'])\n",
        "merge_to_plot.dropna(subset='NUMBER_OF_PLAYERS', inplace=True) # tidy up which has no value (nan)\n",
        "merge_to_plot.reset_index(inplace=True) # reset index to order rows\n",
        "\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(18,16))\n",
        "plt.title('Distribution of active NBA Players per country', fontsize=20)\n",
        "world_map.plot(ax=ax, alpha=0.4)\n",
        "merge_to_plot.plot(column='NUMBER_OF_PLAYERS', ax=ax, cmap='viridis', legend=True, norm=matplotlib.colors.LogNorm(vmin=merge_to_plot.NUMBER_OF_PLAYERS.min(), vmax=merge_to_plot.NUMBER_OF_PLAYERS.max()))\n"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "collapsed_sections": [],
      "name": "AnyoneAI_Project1.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3.10.1 64-bit",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.7"
    },
    "vscode": {
      "interpreter": {
        "hash": "bf3fddaf5f16d859b6e8d0eeaf4cfc855ee191cae7b483f6b3cdefa4bf9da992"
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}