predicting-customer-spend/linear-regression-model.ipynb

{
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  {
   "cell_type": "markdown",
   "id": "4f9e664c-3e44-4699-9974-d5e809059dfc",
   "metadata": {},
   "source": [
    "# Linear Regression with Snowpark & LocalStack\n",
    "\n",
    "An E-Commerce company aims to apply machine learning for understanding customer engagement with its digital platforms (website and app). The goal is to determine whether to prioritize improving the mobile app or website. Using a Linear Regression model, we will assess the impact of user activity on the likelihood of increased spending.\n",
    "\n",
    "In this notebook, we will explore how you can use LocalStack's Snowflake emulator to develop and test your Snowflake data pipelines entirely on your local machine! In this notebook, we will showcase how you can use LocalStack's Snowflake with Snowpark for Python and your favorite Python libraries for data analysis and machine learning."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cd4d1cd-6491-4938-a942-2b2e53b2cc07",
   "metadata": {},
   "source": [
    "## Step 1: Start LocalStack\n",
    "\n",
    "The essential prerequisites for running this notebook include:\n",
    "\n",
    "- LocalStack CLI with a `LOCALSTACK_AUTH_TOKEN`\n",
    "- LocalStack Snowflake\n",
    "- Snowpark with other Python libraries\n",
    "\n",
    "Start your LocalStack container in your preferred terminal/shell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "06243697-398d-404d-9dba-396e4734ca65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2K┌─────────────────┬───────────────────────────────────────────────────────┐\n",
      "│ Runtime version │ \u001b[1m3.1.1.dev\u001b[0m                                             │\n",
      "│ Docker image    │ tag: latest, id: e54cdb22ef6d, 📆 2024-02-01T21:12:55 │\n",
      "│ Runtime status  │ \u001b[1;32m✔ running\u001b[0m (name: \"\u001b[3mlocalstack-main\u001b[0m\", IP: 172.17.0.2)   │\n",
      "└─────────────────┴───────────────────────────────────────────────────────┘\n",
      "\u001b[2K\u001b[32m⠹\u001b[0m Querying Docker status\n",
      "\u001b[1A\u001b[2K"
     ]
    }
   ],
   "source": [
    "!localstack status"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "110527f0-7d2a-4887-86d6-bd909a22ee83",
   "metadata": {},
   "source": [
    "## Step 2: Import libraries and configure LocalStack Snowflake\n",
    "\n",
    "You can now import the required libraries and configure LocalStack's Snowflake. LocalStack Snowflake emulator runs on `snowflake.localhost.localstack.cloud`. You can use the Snowpark to connect to the locally running Snowflake server.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7ef65f08-f24f-4c62-8921-fcc7653da436",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from sklearn import metrics\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "from snowflake.snowpark import functions as F\n",
    "from snowflake.snowpark.functions import pandas_udf\n",
    "from snowflake.snowpark.session import Session\n",
    "from snowflake.snowpark.types import *\n",
    "from snowflake.snowpark.version import VERSION\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "839b6d70-ec56-45a4-ad1d-e591744197d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "USERNAME = 'test'\n",
    "PASSWORD = 'test'\n",
    "SF_ACCOUNT = 'test'\n",
    "SF_WH = 'test'\n",
    "SF_DB = 'test'\n",
    "SF_SCHEMA = 'test'\n",
    "\n",
    "CONNECTION_PARAMETERS = {\n",
    "   \"account\": SF_ACCOUNT,\n",
    "   \"user\": USERNAME,\n",
    "   \"password\": PASSWORD,\n",
    "   \"database\": SF_DB,\n",
    "   \"schema\": SF_SCHEMA,\n",
    "   \"warehouse\": SF_WH,\n",
    "   \"host\": \"snowflake.localhost.localstack.cloud\"\n",
    "}\n",
    "session = Session.builder.configs(CONNECTION_PARAMETERS).create()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d2177ef8-7535-4634-b29c-3c044bb45ac2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Database                    : \"test\"\n",
      "Schema                      : \"test\"\n",
      "Warehouse                   : \"test\"\n",
      "Role                        : \"PUBLIC\"\n",
      "Snowpark for Python version : 1.11.1\n"
     ]
    }
   ],
   "source": [
    "snowpark_version = VERSION\n",
    "print('Database                    : {}'.format(session.get_current_database()))\n",
    "print('Schema                      : {}'.format(session.get_current_schema()))\n",
    "print('Warehouse                   : {}'.format(session.get_current_warehouse()))\n",
    "print('Role                        : {}'.format(session.get_current_role()))\n",
    "print('Snowpark for Python version : {}.{}.{}'.format(snowpark_version[0],snowpark_version[1],snowpark_version[2]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58940f65-c800-47ad-8b80-3cd3a758759e",
   "metadata": {},
   "source": [
    "## Step 3: Load the Data\n",
    "\n",
    "The data is located in the `EcommerceCustomers.csv` file. Import it using Pandas and further create a Snowpark DF from the Pandas DF. You can further load the customer data from Snowpark DF to a Snowflake internal table, and create a Pandas data frame from the Snowflake table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "60465449-720a-4470-a42b-9795a775c7b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Email</th>\n",
       "      <th>Address</th>\n",
       "      <th>Avatar</th>\n",
       "      <th>Avg. Session Length</th>\n",
       "      <th>Time on App</th>\n",
       "      <th>Time on Website</th>\n",
       "      <th>Length of Membership</th>\n",
       "      <th>Yearly Amount Spent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mstephenson@fernandez.com</td>\n",
       "      <td>835 Frank Tunnel\\nWrightmouth, MI 82180-9605</td>\n",
       "      <td>Violet</td>\n",
       "      <td>34.497268</td>\n",
       "      <td>12.655651</td>\n",
       "      <td>39.577668</td>\n",
       "      <td>4.082621</td>\n",
       "      <td>587.951054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>hduke@hotmail.com</td>\n",
       "      <td>4547 Archer Common\\nDiazchester, CA 06566-8576</td>\n",
       "      <td>DarkGreen</td>\n",
       "      <td>31.926272</td>\n",
       "      <td>11.109461</td>\n",
       "      <td>37.268959</td>\n",
       "      <td>2.664034</td>\n",
       "      <td>392.204933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pallen@yahoo.com</td>\n",
       "      <td>24645 Valerie Unions Suite 582\\nCobbborough, D...</td>\n",
       "      <td>Bisque</td>\n",
       "      <td>33.000915</td>\n",
       "      <td>11.330278</td>\n",
       "      <td>37.110597</td>\n",
       "      <td>4.104543</td>\n",
       "      <td>487.547505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>riverarebecca@gmail.com</td>\n",
       "      <td>1414 David Throughway\\nPort Jason, OH 22070-1220</td>\n",
       "      <td>SaddleBrown</td>\n",
       "      <td>34.305557</td>\n",
       "      <td>13.717514</td>\n",
       "      <td>36.721283</td>\n",
       "      <td>3.120179</td>\n",
       "      <td>581.852344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mstephens@davidson-herman.com</td>\n",
       "      <td>14023 Rodriguez Passage\\nPort Jacobville, PR 3...</td>\n",
       "      <td>MediumAquaMarine</td>\n",
       "      <td>33.330673</td>\n",
       "      <td>12.795189</td>\n",
       "      <td>37.536653</td>\n",
       "      <td>4.446308</td>\n",
       "      <td>599.406092</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Email  \\\n",
       "0      mstephenson@fernandez.com   \n",
       "1              hduke@hotmail.com   \n",
       "2               pallen@yahoo.com   \n",
       "3        riverarebecca@gmail.com   \n",
       "4  mstephens@davidson-herman.com   \n",
       "\n",
       "                                             Address            Avatar  \\\n",
       "0       835 Frank Tunnel\\nWrightmouth, MI 82180-9605            Violet   \n",
       "1     4547 Archer Common\\nDiazchester, CA 06566-8576         DarkGreen   \n",
       "2  24645 Valerie Unions Suite 582\\nCobbborough, D...            Bisque   \n",
       "3   1414 David Throughway\\nPort Jason, OH 22070-1220       SaddleBrown   \n",
       "4  14023 Rodriguez Passage\\nPort Jacobville, PR 3...  MediumAquaMarine   \n",
       "\n",
       "   Avg. Session Length  Time on App  Time on Website  Length of Membership  \\\n",
       "0            34.497268    12.655651        39.577668              4.082621   \n",
       "1            31.926272    11.109461        37.268959              2.664034   \n",
       "2            33.000915    11.330278        37.110597              4.104543   \n",
       "3            34.305557    13.717514        36.721283              3.120179   \n",
       "4            33.330673    12.795189        37.536653              4.446308   \n",
       "\n",
       "   Yearly Amount Spent  \n",
       "0           587.951054  \n",
       "1           392.204933  \n",
       "2           487.547505  \n",
       "3           581.852344  \n",
       "4           599.406092  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customers = pd.read_csv(\"EcommerceCustomers.csv\")\n",
    "customers.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "850ebf3e-65f4-4c30-bf42-6c1c05310011",
   "metadata": {},
   "outputs": [],
   "source": [
    "snowdf = session.write_pandas(customers,\"CUSTOMERS\",auto_create_table='True')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4f661c5d-e82c-4a40-8af5-7c9b06c0301d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
      "|\"EMAIL\"                    |\"ADDRESS\"                       |\"AVATAR\"   |\"AVG. SESSION LENGTH\"  |\"TIME ON APP\"       |\"TIME ON WEBSITE\"   |\"LENGTH OF MEMBERSHIP\"  |\"YEARLY AMOUNT SPENT\"  |\n",
      "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
      "|mstephenson@fernandez.com  |835 Frank Tunnel                |Violet     |34.49726772511229      |12.655651149166752  |39.57766801952616   |4.082620632952961       |587.9510539684005      |\n",
      "|                           |Wrightmouth, MI 82180-9605      |           |                       |                    |                    |                        |                       |\n",
      "|hduke@hotmail.com          |4547 Archer Common              |DarkGreen  |31.92627202636016      |11.109460728682564  |37.268958868297744  |2.66403418213262        |392.2049334443264      |\n",
      "|                           |Diazchester, CA 06566-8576      |           |                       |                    |                    |                        |                       |\n",
      "|pallen@yahoo.com           |24645 Valerie Unions Suite 582  |Bisque     |33.000914755642675     |11.330278057777512  |37.11059744212085   |4.104543202376424       |487.54750486747207     |\n",
      "|                           |Cobbborough, DC 99414-7564      |           |                       |                    |                    |                        |                       |\n",
      "---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n",
      "\n"
     ]
    }
   ],
   "source": [
    "snowdf.write.mode(\"overwrite\").saveAsTable(\"customers_new\") \n",
    "\n",
    "session.table(\"CUSTOMERS_NEW\").limit(3).show(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "592735db-fcea-4f9c-bb8e-634b3656f14e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'custdf' local dataframe created. Number of records: 500 \n"
     ]
    }
   ],
   "source": [
    "custdf = session.table('CUSTOMERS_NEW').toPandas() \n",
    "\n",
    "print(f\"'custdf' local dataframe created. Number of records: {len(custdf)} \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8ea88272-5ff6-4cbc-9cb9-748258fe8bf9",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>EMAIL</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>AVATAR</th>\n",
       "      <th>AVG. SESSION LENGTH</th>\n",
       "      <th>TIME ON APP</th>\n",
       "      <th>TIME ON WEBSITE</th>\n",
       "      <th>LENGTH OF MEMBERSHIP</th>\n",
       "      <th>YEARLY AMOUNT SPENT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mstephenson@fernandez.com</td>\n",
       "      <td>835 Frank Tunnel\\nWrightmouth, MI 82180-9605</td>\n",
       "      <td>Violet</td>\n",
       "      <td>34.497268</td>\n",
       "      <td>12.655651</td>\n",
       "      <td>39.577668</td>\n",
       "      <td>4.082621</td>\n",
       "      <td>587.951054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>hduke@hotmail.com</td>\n",
       "      <td>4547 Archer Common\\nDiazchester, CA 06566-8576</td>\n",
       "      <td>DarkGreen</td>\n",
       "      <td>31.926272</td>\n",
       "      <td>11.109461</td>\n",
       "      <td>37.268959</td>\n",
       "      <td>2.664034</td>\n",
       "      <td>392.204933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pallen@yahoo.com</td>\n",
       "      <td>24645 Valerie Unions Suite 582\\nCobbborough, D...</td>\n",
       "      <td>Bisque</td>\n",
       "      <td>33.000915</td>\n",
       "      <td>11.330278</td>\n",
       "      <td>37.110597</td>\n",
       "      <td>4.104543</td>\n",
       "      <td>487.547505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>riverarebecca@gmail.com</td>\n",
       "      <td>1414 David Throughway\\nPort Jason, OH 22070-1220</td>\n",
       "      <td>SaddleBrown</td>\n",
       "      <td>34.305557</td>\n",
       "      <td>13.717514</td>\n",
       "      <td>36.721283</td>\n",
       "      <td>3.120179</td>\n",
       "      <td>581.852344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mstephens@davidson-herman.com</td>\n",
       "      <td>14023 Rodriguez Passage\\nPort Jacobville, PR 3...</td>\n",
       "      <td>MediumAquaMarine</td>\n",
       "      <td>33.330673</td>\n",
       "      <td>12.795189</td>\n",
       "      <td>37.536653</td>\n",
       "      <td>4.446308</td>\n",
       "      <td>599.406092</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>lewisjessica@craig-evans.com</td>\n",
       "      <td>4483 Jones Motorway Suite 872\\nLake Jamiefurt,...</td>\n",
       "      <td>Tan</td>\n",
       "      <td>33.237660</td>\n",
       "      <td>13.566160</td>\n",
       "      <td>36.417985</td>\n",
       "      <td>3.746573</td>\n",
       "      <td>573.847438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>katrina56@gmail.com</td>\n",
       "      <td>172 Owen Divide Suite 497\\nWest Richard, CA 19320</td>\n",
       "      <td>PaleVioletRed</td>\n",
       "      <td>34.702529</td>\n",
       "      <td>11.695736</td>\n",
       "      <td>37.190268</td>\n",
       "      <td>3.576526</td>\n",
       "      <td>529.049004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>dale88@hotmail.com</td>\n",
       "      <td>0787 Andrews Ranch Apt. 633\\nSouth Chadburgh, ...</td>\n",
       "      <td>Cornsilk</td>\n",
       "      <td>32.646777</td>\n",
       "      <td>11.499409</td>\n",
       "      <td>38.332576</td>\n",
       "      <td>4.958264</td>\n",
       "      <td>551.620145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>cwilson@hotmail.com</td>\n",
       "      <td>680 Jennifer Lodge Apt. 808\\nBrendachester, TX...</td>\n",
       "      <td>Teal</td>\n",
       "      <td>33.322501</td>\n",
       "      <td>12.391423</td>\n",
       "      <td>36.840086</td>\n",
       "      <td>2.336485</td>\n",
       "      <td>456.469510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>hannahwilson@davidson.com</td>\n",
       "      <td>49791 Rachel Heights Apt. 898\\nEast Drewboroug...</td>\n",
       "      <td>DarkMagenta</td>\n",
       "      <td>33.715981</td>\n",
       "      <td>12.418808</td>\n",
       "      <td>35.771016</td>\n",
       "      <td>2.735160</td>\n",
       "      <td>497.778642</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>500 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             EMAIL  \\\n",
       "0        mstephenson@fernandez.com   \n",
       "1                hduke@hotmail.com   \n",
       "2                 pallen@yahoo.com   \n",
       "3          riverarebecca@gmail.com   \n",
       "4    mstephens@davidson-herman.com   \n",
       "..                             ...   \n",
       "495   lewisjessica@craig-evans.com   \n",
       "496            katrina56@gmail.com   \n",
       "497             dale88@hotmail.com   \n",
       "498            cwilson@hotmail.com   \n",
       "499      hannahwilson@davidson.com   \n",
       "\n",
       "                                               ADDRESS            AVATAR  \\\n",
       "0         835 Frank Tunnel\\nWrightmouth, MI 82180-9605            Violet   \n",
       "1       4547 Archer Common\\nDiazchester, CA 06566-8576         DarkGreen   \n",
       "2    24645 Valerie Unions Suite 582\\nCobbborough, D...            Bisque   \n",
       "3     1414 David Throughway\\nPort Jason, OH 22070-1220       SaddleBrown   \n",
       "4    14023 Rodriguez Passage\\nPort Jacobville, PR 3...  MediumAquaMarine   \n",
       "..                                                 ...               ...   \n",
       "495  4483 Jones Motorway Suite 872\\nLake Jamiefurt,...               Tan   \n",
       "496  172 Owen Divide Suite 497\\nWest Richard, CA 19320     PaleVioletRed   \n",
       "497  0787 Andrews Ranch Apt. 633\\nSouth Chadburgh, ...          Cornsilk   \n",
       "498  680 Jennifer Lodge Apt. 808\\nBrendachester, TX...              Teal   \n",
       "499  49791 Rachel Heights Apt. 898\\nEast Drewboroug...       DarkMagenta   \n",
       "\n",
       "     AVG. SESSION LENGTH  TIME ON APP  TIME ON WEBSITE  LENGTH OF MEMBERSHIP  \\\n",
       "0              34.497268    12.655651        39.577668              4.082621   \n",
       "1              31.926272    11.109461        37.268959              2.664034   \n",
       "2              33.000915    11.330278        37.110597              4.104543   \n",
       "3              34.305557    13.717514        36.721283              3.120179   \n",
       "4              33.330673    12.795189        37.536653              4.446308   \n",
       "..                   ...          ...              ...                   ...   \n",
       "495            33.237660    13.566160        36.417985              3.746573   \n",
       "496            34.702529    11.695736        37.190268              3.576526   \n",
       "497            32.646777    11.499409        38.332576              4.958264   \n",
       "498            33.322501    12.391423        36.840086              2.336485   \n",
       "499            33.715981    12.418808        35.771016              2.735160   \n",
       "\n",
       "     YEARLY AMOUNT SPENT  \n",
       "0             587.951054  \n",
       "1             392.204933  \n",
       "2             487.547505  \n",
       "3             581.852344  \n",
       "4             599.406092  \n",
       "..                   ...  \n",
       "495           573.847438  \n",
       "496           529.049004  \n",
       "497           551.620145  \n",
       "498           456.469510  \n",
       "499           497.778642  \n",
       "\n",
       "[500 rows x 8 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "custdf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ff40ffc-4a54-4db7-a41b-c8d163c0187d",
   "metadata": {},
   "source": [
    "## Step 4: Model Training & Testing\n",
    "\n",
    "In this step, we will:\n",
    "\n",
    "- Understand the correlation matrix for the new data frame\n",
    "- Define X and Y for modeling\n",
    "- Split into training & Testing datasets\n",
    "- Create an instance of Linear Regression and Fit the training datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ebb6fbd6-5d53-42a0-b56b-b42a384fa48f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/k6/121xsv7x68vb97ptv8008zpr0000gn/T/ipykernel_2974/1851941364.py:3: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  sns.heatmap(custdf.corr(), vmin=-1, vmax=1, annot=True, cmap='Spectral')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Encoded Correlation Heatmap for Used Vehicles Dataset'}>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xdUFU6s6dOwCAFy9e4OTJk+jVqxfKlCkjs21BlCg3NxdHjhxBq1at4OLiIq63tbXFN998g9OnTyM5ORkAcPDgQdSoUUOm266VlZVcd8ajR48iKSkJnTt3Rnx8vLhoaGjAz89P7D779OlTxMTEIDg4GCYmJuL2X331FTw9PT94ngrKVRBF+5CDBw/C19cXtWvXFtMMDQ3Rr18/3Lt3D1evXpXJHxwcrDDqDEBunNnOnTthYmKCr776SqbOPj4+MDQ0lOky/C4NDQ0x6puXl4eXL18iJycH1apVw8WLF4tUN0V1BYDQ0FCZ9ILJYN7tWu3p6Sm+f4D86+ru7i6+lz6kZcuWcu/Zo0ePYtSoUTL5Xr58id9++w0dOnRASkqKeJ4SEhIQFBSEW7duiV1odXR0xDHKubm5SEhIELtZfsx5MTQ0RKdOncTX7u7uMDU1Rfny5cVeBwDE/79d57evf3Z2NhISEuDm5gZTU1OFZejXr59MFG/gwIHQ1NQUr8fH+OOPP/D8+XMMGjQIurq6YnqzZs3g4eEhdw0LjlccTE1N8ejRI4XDGID8idh2796Nr7/+GoIgyHwGgoKC8OrVK/F8HTx4ELa2tmjXrp24vb6+vhjl+xANDQ106tQJ0dHRMt1Xt2zZglKlSqFhw4YA8j+TderUgZmZmUx5AgMDkZubi5MnT8rs90P3U0X27t2LvLw8TJw4UW48/fse4bNz506UL18eHh4eMmVr0KABAIj3i4LI+759+wrtGv2pDA0NAUBmZui33++JiYl49eoV6tSpU+TPW1E/L6amprhy5Qpu3bqlcD8fc58gos+L3YyJSGm+vr5FmgDq3QZqwRexgjF6BV/CKlSoUOg+Xrx4gdevX8Pd3V1uXfny5ZGXl4eHDx/Cy8sL9+/fl/nyX+DdbQu+oBR8MXuXsbExgPzxVQBQtmxZhfv80Beogv287zEdbyus/AVd0u7fvy9zrhTNKA3kTwLzbjfoW7du4dWrV7C2tla4jaLxfW9bv3495s2bh+vXryM7O/uDZfiQ+/fvQyqVys2AbWNjA1NTU/HcF3j3vQTkv58+NN6zgIODg8JZeB89eiTz+p9//oEgCJgwYQImTJigcF/Pnz+Hvb098vLysHDhQixbtgx3795Fbm6umOdjZqp1cHCQa1iYmJigdOnScmkAZOpcMC577dq1ePz4scz4wlevXskd6933sqGhIWxtbT/psSEF10jRZ9PDwwOnT5+WSVP0vlTG2+ds9OjROHbsGHx9feHm5oZGjRrhm2++Qa1atQDk30eSkpIQHh6O8PBwhfsr+Azcv38fbm5uctdEUT0L06VLF/z444/YsmULxo0bh0ePHuHUqVMYNmyYOOTg1q1biI2NFceaF1aeAh+6nypy+/ZtSKXSIv349rZbt27h2rVrHyxbx44dsXr1avTp0wdjxoxBw4YN0aZNG7Rr107hZHQfo2AIwNs/Bh44cADTp09HTEyMzNjdoj5bt6ifl6lTp6Jly5YoV64cKlSogMaNG6Nbt27isImPuU8Q0efFxiwRqUxh40Tf/gJREgoiCBs3boSNjY3c+s81G6iHhwcA4PLly8XyiIjCorJvRwwL5OXlwdraGps3b1a4TWFfWoH8yWN69OiBVq1aYdSoUbC2toaGhgbCwsJw+/btT68Aiv4lVFXvpYL3xsiRIxEUFKQwT0EDfObMmZgwYQJ69eqFadOmwdzcHFKpFCEhIR8VpSqsbkWp89ChQ7F27VqEhISgZs2aMDExgUQiQadOnT57pExZit6XhSmI9Kanpytc//r1a5locPny5XHjxg0cOHAAhw4dwu7du7Fs2TJMnDgRU6ZMEc9F165dxcms3vW+8d0fy8fHBx4eHti6dSvGjRuHrVu3QhAEmV4ieXl5+Oqrr/Ddd98p3Ee5cuVkXqvyfpqXl4eKFSsW+micgh9a9PT0cPLkSRw/fhy//PILDh06hO3bt6NBgwY4cuRIkeYKKMzff/8N4M3n7dSpU2jRogXq1q2LZcuWwdbWFlpaWli7dq3cRF+FKernpW7durh9+zb27duHI0eOYPXq1fjxxx+xYsUK9OnT56PuE0T0ebExS0T/GgXdhgu+tChiZWUFfX193LhxQ27d9evXIZVKxS9Wjo6OCruFvbttwWQg1tbW731mpqOjIwAUaZ+K1K5dG2ZmZuIX2g99sXN0dCy0nm+X51O4urri2LFjqFWrVqGN4MLs2rULLi4u+Omnn2Qan5MmTZLJV9SGKZBfl7y8PNy6dUtmMpRnz54hKSlJqboqo+A9qaWl9cHnqe7atQv169dHRESETHpSUhIsLS3F1x9zXj7Wrl27EBwcjHnz5olpGRkZSEpKUpj/1q1bqF+/vvg6NTUVT58+RdOmTT/62AXX6MaNG3K9HG7cuKHUNXx73+9GqF+/fo2HDx/KTV5kYGCAjh07omPHjsjKykKbNm0wY8YMjB07FlZWVjAyMkJubu4Hr6ujoyP+/vtvCIIgc+2K8pl/W5cuXTBhwgTExsZiy5YtKFu2rDizNZD/mUxNTS3W5/a6uroiLy8PV69e/ahnHLu6uuKvv/5Cw4YNP/j+lUqlaNiwIRo2bIj58+dj5syZGD9+PI4fP/7JdUtNTcWePXtQunRp8f6we/du6Orq4vDhw9DR0RHzrl27Vm77wsr8MZ8Xc3Nz9OzZEz179kRqairq1q2LyZMno0+fPh91nyjOzz/Rl4hjZonoX8PKygp169bFmjVr8ODBA5l1BdEGDQ0NNGrUCPv27ZPpCvns2TNs2bIFtWvXFrvzNm3aFGfPnsX58+fFfC9evJCLRgYFBcHY2BgzZ86U6TL79jZA/rhcb29vrF+/XqYL2tGjR+XGryqir6+P0aNH49q1axg9erTCCMqmTZvE8jZt2hTnz59HdHS0uD4tLQ3h4eFwcnL66K6Cb+vQoQNyc3Mxbdo0uXU5OTmFNn6ANxGht8t/7tw5mXICEGcCfd++ChQ0nt6dsbUgElQwM6mqWVtbo169eli5ciWePn0qt77gvQHkn5d3r+nOnTvlxsoVPEu1KOflYykqw+LFi2W6PL8tPDxc5j2/fPly5OTkoEmTJh997GrVqsHa2horVqyQ6fL566+/4tq1a0pdw4YNG0JbWxvLly+XizCHh4fLlTkhIUEmj7a2Njw9PSEIArKzs6GhoYG2bdti9+7dCn88e/u6Nm3aFE+ePJF55Mvr168L7Z5cmIIo7MSJExETEyM3dr9Dhw6Ijo7G4cOH5bZNSkpCTk7ORx1PkVatWkEqlWLq1Kly5/F9Ed0OHTrg8ePHWLVqldy69PR0pKWlAcgfO/qugkZzUR5lpEh6ejq6deuGly9fYvz48WJjUENDAxKJROa9fe/ePXFm5bcZGBgo/LwV9fPy7vvJ0NAQbm5uYp0+5j5RnJ9/oi8RI7NEpLRff/1VjBa+zd/fX2aSpqJYtGgRateujapVq6Jfv35wdnbGvXv38MsvvyAmJgYAMH36dPFZhoMGDYKmpiZWrlyJzMxMzJkzR9zXd999h40bN6Jx48b49ttvxUfzODo6IjY2VsxnbGyM5cuXo1u3bqhatSo6deoEKysrPHjwAL/88gtq1aqFJUuWAADCwsLQrFkz1K5dG7169cLLly/F51kqeqzLu0aNGoUrV65g3rx5OH78ONq1awcbGxvExcVh7969OH/+PM6cOQMAGDNmDLZu3YomTZpg2LBhMDc3x/r163H37l3s3r1bqTFoAQEB6N+/P8LCwhATE4NGjRpBS0sLt27dws6dO7Fw4UKZCW/e1rx5c/z0009o3bo1mjVrhrt372LFihXw9PSUOQd6enrw9PTE9u3bUa5cOZibm6NChQoKx0RXrlwZwcHBCA8PR1JSEgICAnD+/HmsX78erVq1kokeqtrSpUtRu3ZtVKxYEX379oWLiwuePXuG6OhoPHr0SHyObPPmzTF16lT07NkT/v7+uHz5MjZv3iz3GXB1dYWpqSlWrFgBIyMjGBgYwM/P75PHG7+tefPm2LhxI0xMTODp6Yno6GgcO3as0DG7WVlZaNiwITp06IAbN25g2bJlqF27tvjc04+hpaWF2bNno2fPnggICEDnzp3FR/M4OTlh+PDhn1wva2trTJw4Ed9//z3q1q2LFi1aQF9fH2fOnMHWrVvRqFEjfP3112L+Ro0awcbGBrVq1UKpUqVw7do1LFmyBM2aNRPHXM6aNQvHjx+Hn58f+vbtC09PT7x8+RIXL17EsWPHxIZZ3759sWTJEnTv3h1//vknbG1tsXHjxo9+lJCzszP8/f2xb98+AJBrzI4aNQr79+9H8+bNxcdMpaWl4fLly9i1axfu3bsnE+H/FG5ubhg/fjymTZuGOnXqoE2bNtDR0cGFCxdgZ2eHsLAwhdt169YNO3bswIABA3D8+HHUqlULubm5uH79Onbs2IHDhw+jWrVqmDp1Kk6ePIlmzZrB0dERz58/x7Jly+Dg4CAzkV1hHj9+jE2bNgHIj8ZevXoVO3fuRFxcHEaMGIH+/fuLeZs1a4b58+ejcePG+Oabb/D8+XMsXboUbm5uMvd3IL+b97FjxzB//nzY2dnB2dkZfn5+Rf68eHp6ol69evDx8YG5uTn++OMP7Nq1S+ZRS0W9T3h7e0NDQwOzZ8/Gq1evoKOjgwYNGhQ6fwERfYBqJ08mov+S9z2aB289MqTgURI//PCD3D6g4NEtf//9t9C6dWvB1NRU0NXVFdzd3YUJEybI5Ll48aIQFBQkGBoaCvr6+kL9+vWFM2fOyO0/NjZWCAgIEHR1dQV7e3th2rRpQkREhMyjeQocP35cCAoKEkxMTARdXV3B1dVV6NGjh/DHH3/I5Nu9e7dQvnx5QUdHR/D09BR++uknITg4+IOP5nnbrl27hEaNGgnm5uaCpqamYGtrK3Ts2FGIioqSyXf79m2hXbt24rnw9fUVDhw4IFduAMLOnTvljhMcHCwYGBgUWo7w8HDBx8dH0NPTE4yMjISKFSsK3333nfDkyRMxz7uP6cjLyxNmzpwpODo6Cjo6OkKVKlWEAwcOKDwHZ86cEXx8fARtbW2Za/3uI0MEQRCys7OFKVOmCM7OzoKWlpZQunRpYezYsTKPuhCEwh/h8W45CwNAGDx4sMJ1ih45Iwj516F79+6CjY2NoKWlJdjb2wvNmzcXdu3aJebJyMgQRowYIdja2gp6enpCrVq1hOjoaIXl2rdvn+Dp6SloamrKfFYCAgIUPlKmsDq/W5fExEShZ8+egqWlpWBoaCgEBQUJ169fFxwdHWUeTVJQzxMnTgj9+vUTzMzMBENDQ6FLly5CQkLCh05hoedJEARh+/btQpUqVQQdHR3B3Nxc6NKli/Do0SOZPB96XxZm06ZNQo0aNQQDAwNBR0dH8PDwEKZMmSL3Hlm5cqVQt25dwcLCQtDR0RFcXV2FUaNGCa9evZLJ9+zZM2Hw4MFC6dKlBS0tLcHGxkZo2LChEB4eLpPv/v37QosWLQR9fX3B0tJS+Pbbb8XHWH3MI1aWLl0qABB8fX0Vrk9JSRHGjh0ruLm5Cdra2oKlpaXg7+8vzJ07V3yE0sfcTxV9zgRBENasWSNeIzMzMyEgIEA4evSouF7RezYrK0uYPXu24OXlJW7n4+MjTJkyRTyvkZGRQsuWLQU7OztBW1tbsLOzEzp37iz3uCFFCh65BUCQSCSCsbGx4OXlJfTt21fm8Wpvi4iIEMqWLSu+F9auXauwztevXxfq1q0r6OnpCQDEz0JRPy/Tp08XfH19BVNTU0FPT0/w8PAQZsyYIfNYK0Eo2n1CEARh1apVgouLi6ChocHH9BApSSIIJTzzChEREanUunXr0LNnT1y4cKFIM5ETERH9G3HMLBEREREREakdNmaJiIiIiIhI7bAxS0RERERERGqHY2aJiIiIiIhI7TAyS0RERERERGqHjVkiIiIiIiJSO2zMEhERERERkdphY5aIiIiIiIjUDhuzREREREREpHbYmCUiIiIiIiK1w8YsERERERERqR02ZomIiIiIiL4QJ0+exNdffw07OztIJBLs3bv3g9tERUWhatWq0NHRgZubG9atWyeXZ+nSpXBycoKuri78/Pxw/vz5z1/4d7AxS0RERERE9IVIS0tD5cqVsXTp0iLlv3v3Lpo1a4b69esjJiYGISEh6NOnDw4fPizm2b59O0JDQzFp0iRcvHgRlStXRlBQEJ4/f15c1QAASARBEIr1CERERERERPSvI5FIsGfPHrRq1arQPKNHj8Yvv/yCv//+W0zr1KkTkpKScOjQIQCAn58fqlevjiVLlgAA8vLyULp0aQwdOhRjxowptvIzMktERERERKTGMjMzkZycLLNkZmZ+ln1HR0cjMDBQJi0oKAjR0dEAgKysLPz5558yeaRSKQIDA8U8xUWzWPdOpGaCW20s6SKQCq3fZV3SRSBVEvJKugSkQplSXu8vSdSThJIuAqlQUOnuJV0EhUrye6Sz921MmTJFJm3SpEmYPHmy0vuOi4tDqVKlZNJKlSqF5ORkpKenIzExEbm5uQrzXL9+Xenjvw8bs0RERERERGps7NixCA0NlUnT0dEpodKoDhuzREREREREakxHR6fYGq82NjZ49uyZTNqzZ89gbGwMPT09aGhoQENDQ2EeGxubYilTAY6ZJSIiIiIiUlKeVFJiS3GqWbMmIiMjZdKOHj2KmjVrAgC0tbXh4+MjkycvLw+RkZFinuLCxiwREREREdEXIjU1FTExMYiJiQGQ/+idmJgYPHjwAEB+l+Xu3d+MSx4wYADu3LmD7777DtevX8eyZcuwY8cODB8+XMwTGhqKVatWYf369bh27RoGDhyItLQ09OzZs1jrwm7GREREREREShKKOUL6ufzxxx+oX7+++LpgrG1wcDDWrVuHp0+fig1bAHB2dsYvv/yC4cOHY+HChXBwcMDq1asRFBQk5unYsSNevHiBiRMnIi4uDt7e3jh06JDcpFCfG58zS/QWzmb8ZeFsxl8Yzmb8ReFsxl8Wzmb8Zfm3zmbctd3mEjv2pl1dSuzYJYndjImIiIiIiEjtsJsxERERERGRkvI01KOb8X8JI7NERERERESkdhiZJSIiIiIiUlJxPyKH5DEyS0RERERERGqHkVkiIiIiIiIlMTKreozMEhERERERkdphY5aIiIiIiIjUDrsZExERERERKUlgN2OVY2SWiIiIiIiI1A4js0RERERERErK02BkVtUYmSUiIiIiIiK1w8YsERERERERqR12MyYiIiIiIlISnzOreozMEhERERERkdphZJaIiIiIiEhJeVLGCVWNZ5yIiIiIiIjUDiOzREREREREShI4ZlblGJklIiIiIiIitcPGLBEREREREakddjMmIiIiIiJSUp4GuxmrGiOzREREREREpHYYmSUiIiIiIlJSHieAUjlGZomIiIiIiEjtsDFLREREREREaofdjImIiIiIiJTE58yqHiOzREREREREpHYYmSUiIiIiIlISJ4BSPUZmiYiIiIiISO0wMktERERERKSkPA1GZlWNkVkiIiIiIiJSO2zMEhERERERkdphN2MiIiIiIiIlcQIo1WNkloiIiIiIiNQOI7NERERERERKEhiZVTlGZomIiIiIiEjtsDFLREREREREaofdjImIiIiIiJTECaBUj5FZIiIiIiIiUjuMzBIRERERESmJkVnVY2SWiIiIiIiI1A4bs0RERERERKR22M2YiIiIiIhISXka7GasaozMEhERERERkdphZJaIiIiIiEhJAieAUjlGZomIiIiIiEjtMDJLRERERESkJD6aR/UYmSUiIiIiIiK1w8YsERERERERqZ0SbcxGR0dDQ0MDzZo1E9OePXsGLS0tbNu2TeE2vXv3RtWqVcXXycnJmDBhAry8vKCnpwcLCwtUr14dc+bMQWJi4keV58SJE2jQoAHMzc2hr6+PsmXLIjg4GFlZWQCAqKgoSCQShUtcXBwA4PXr1xg7dixcXV2hq6sLKysrBAQEYN++feJx7t69i2+++QZ2dnbQ1dWFg4MDWrZsievXr4t5JBIJ9u7dK1O+AwcOICAgAEZGRtDX10f16tWxbt06mTz37t2DRCKBtbU1UlJSZNZ5e3tj8uTJhdZ/3bp1MDU1LXR9jx49FNa9cePGYh4nJydIJBKcPXtWZtuQkBDUq1dPJu1D166w4xUsTk5OAIB69eohJCTko+vzpXP3tEbI+PpYsKYt1u/thqp+pUu6SFQEgiBg4eJfUDvge1SqOgI9ei/BvfvPP7jd5i0n0eCryahYJRTtO81DbOx9cV1SUhqmzdiFoGbTUanqCNRrOAnTZ+5CSkq6zD5iL99HcK8lqFZjNKrXHI3efZfh+vXHn72O9IYgCFi45CBq15uISj6j0KPPMty7/+KD223eegoNGk1Bxaoj0b7zfMRevi+zfuKU7QhsPA2VfEahRp3xGDh0NW7feSaTx71CiNzyy8GLn7V+9H7btpxG48BpqOb9Hb7puACXY++/N/+RQzFo0WwWqnl/hzYt5+DUiatyee7cfoahgyPg7zsOvj5j0LnDj3j65OO+L1HxOLnvD0zusgShTWZh3pC1uP+e++tfp67jh0ERGN1yLkY2n4PZ/Vfh/NHLcvni7scjfMIOfNciP9/cQWvw8tmr4qzGFy1PKimx5UtVoo3ZiIgIDB06FCdPnsSTJ08AAKVKlUKzZs2wZs0aufxpaWnYsWMHevfuDQB4+fIlatSogbVr12LkyJE4d+4cLl68iBkzZuDSpUvYsmVLkcty9epVNG7cGNWqVcPJkydx+fJlLF68GNra2sjNzZXJe+PGDTx9+lRmsba2BgAMGDAAP/30ExYvXozr16/j0KFDaNeuHRISEgAA2dnZ+Oqrr/Dq1Sv89NNPuHHjBrZv346KFSsiKSmp0PItXrwYLVu2RK1atXDu3DnExsaiU6dOGDBgAEaOHCmXPyUlBXPnzi1y/YuqcePGcnXfunWrTB5dXV2MHj36vfspyrVbuHChzHEAYO3ateLrCxcufPb6fUl0dDXx8G4iNq48X9JFoY+wKuIYNm4+icmTOmDH1lDo6Wmjd7/lyMzMLnSbg79eRNicPRg8qDH27BwFD3d79O6/DAkJ+T94PX/xCs+fv8LokS1xYO8YhM3oglOnr2H8hDf30LS0TPTtvxx2tmbYsTUUWzaGwMBAB737LUN2dm5hhyYlrVoTmX+9J7bHji3D8693/xVFuN57MXhgY+zZOfL/13uFeL0BwMuzNMKmf4OD+8cgYuUACIKA3v2WIzc3T2ZfYdM743TUVHEJbFix2OpKsg79egk/zN6HAYOCsH1XKNw97DCgX7jMdXxbzKW7GD1qE1q38cWO3SPQoGFFfDt0LW7deirmefggHsFdF8PZ2RoR6wZh956R6DfgK2jrcAqVknbx+FXsWXEMjbvVwagVvWHvYo1lY7YhJTFNYX59Iz00+qYWhi/qgdHhfeEXVBlbfvgZ1y7cFvO8eJKIBSEbUKq0BYbO64rR4X0R1LU2tLR5vem/o8Tezampqdi+fTv++OMPxMXFYd26dRg3bhyA/Ohrq1at8ODBA5QpU0bcZufOncjJyUGXLl0AAOPGjcODBw9w8+ZN2NnZifkcHR3RqFEjCIJQ5PIcOXIENjY2mDNnjpjm6uoqE3UsYG1tXWjEb//+/Vi4cCGaNm0KID9S6ePjI66/cuUKbt++jcjISDg6OorlrVWrVqFle/jwIUaMGIGQkBDMnDlTTB8xYgS0tbUxbNgwtG/fHn5+fuK6oUOHYv78+Rg8eLDY0P4cdHR0YGNj8948/fr1w4oVK3Dw4EHxPLyrKNdOIpHAxMREZjtTU9MPHp+KJvbiE8RefFLSxaCPIAgCNmw8gYH9GyGwQSUAwJywbvCvOx7HImPRrKmPwu3Wrj+ODu380bZ1DQDAlEkdEHXyCnb/dBb9+n6FcmXtsHhhbzF/mTJWCPm2OUaN3oCcnFxoamrgzt1nSHr1GsOGNIWtrRkAYPCgJmjRehaePHkJR0erYq79lyf/ep/EwH6NENggvxE5Z2YX+AdMwLHIy2jWtKrC7dZuiEKHdjXRtnX+34QpE9sj6uRV7N5zDv36BAIAOrb3F/M72FsgZGgztGw7B48fv0SZMpbiOmMjPVhZGhdXFek9Nqw7gbbta6BVG18AwIRJ7XDqxFXs/ek8evdtKJd/88ZTqFXbAz17NwAADBnWBNFnbmDb5tOYMLk9AGDxwoOoU7c8Qkd+LW5X+q3rTSXn+O5z8G/qjRqNKwMAOoQ0xZVz/+Dsob/wVWd/ufxlvR1lXtdr44vzR2Jx5++HKF/dFQDwy5ooePq5omW/N+8XKzuzYqwFCRpfboS0pJRYZHbHjh3w8PCAu7s7unbtijVr1oiNz6ZNm6JUqVJyXWjXrl2LNm3awNTUFHl5edi+fTu6du0q0xh6m0RS9DeUjY0Nnj59ipMnT35ynQr2c/DgQbkuvgWsrKwglUqxa9cuuYhvYXbt2oXs7GyFEdj+/fvD0NBQLjrauXNnuLm5YerUqR9fCSU5OztjwIABGDt2LPLy8uTWf+5rR/SlePQoAS/ik+Ffw11MMzLSQ+VKjrj01z2F22Rl5eDK1Yfwr/lmG6lUCv8a7rj0191Cj5Wakg5DQ11oamoAAJydrWFqaoBdP0UjKysHGRlZ2LU7Gq4upWBvb/55KkgyxOtds5yY9sHrnZ2DK1cfwb/Gm23yr3e5Qrd5/ToTP+09BwcHC9jYmsqsmzJjN/xqj0e7TvOx66ezH/UjMX267KwcXLv6CDXeuY5+Ncvhr5h7Crf5K+Ye/GqWlUnzr+WBv/5/3fPy8nDyxDU4OllhQN+VCKg9Ed90XIDfjsl3TSXVysnOxcObT+Fe1VlMk0olcK/qjLtXH31we0EQcOPiXTx/9BKulfKDQHl5Aq6c+wfWDuZYNnorxrX7EfOGrEXs7zeKrR5EJaHEGrMRERHo2rUrgPyuq69evcKJEycAABoaGggODsa6devEP5y3b9/GqVOn0KtXLwDAixcvkJSUBHd3d5n9+vj4wNDQEIaGhujcuXORy9O+fXt07twZAQEBsLW1RevWrbFkyRIkJyfL5XVwcBCPYWhoCC8vL3FdeHg4zpw5I47/HD58OH7//Xdxvb29PRYtWoSJEyfCzMwMDRo0wLRp03Dnzp1Cy3bz5k2YmJjA1tZWbp22tjZcXFxw8+ZNmXSJRIJZs2YhPDwct2/fltvuUx04cECm7oaGhjLR4gLff/897t69i82bN8ut+9zXDgCWLVsmV64BAwZ8XOWI/uVexOffjywsjWTSLSyMEB8vf68CgMSkNOTm5sHCQtE2in90e5mYimUrDqNj+zc9RgwNdLFx3VDs//kPVPYZgSrVR+HU79ewauVAscFLn9eL/18fxdeukOud+L7rLbvN5m2nUaX6d6jiOxonT1/D2vCB0NZ602Fr2JAmWDA3GGtXDUSjryphyvRd2LhZuR98qWjEz63Cz7riz218fIr8dbd8k/9lQipev85ExOrfUKu2B1au6o+GgRUx/Nt1+OPCP8VTESqStFevkZcnwMjMQCbdyMyg0G7GAJCemoGRzedgeONZWDl+O9oObgQPHxcAQGpSGjLTs3BsWzTKV3fBoFmdUamWOyIm78Ktv94/9ppInZRIY/bGjRs4f/682GDR1NREx44dERERIebp1asX7t69i+PHjwPIj8o6OTmhQYMG7933nj17EBMTg6CgIKSnp78379s0NDSwdu1aPHr0CHPmzIG9vT1mzpwJLy8vcbxmgVOnTiEmJkZcDh48KK6rW7cu7ty5g8jISLRr1w5XrlxBnTp1MG3aNDHP4MGDERcXh82bN6NmzZrYuXMnvLy8cPTo0SKXtyiCgoJQu3ZtTJgw4bPts379+jJ1j4mJUdhotLKywsiRIzFx4kRxAq0P+dRrBwBdunSRK9eHotKZmZlITk6WWXJzCx+HRqRq+w9cQJVqI8UlJ6f4x6ampqaj/8CVcHW1wZBBTcT0jIwsjJ+wFVWruGD7llBs3RSCcm626D9wJTIyivYZp/fbf+CP/Mbl/5fivt4tmvlgz65R2LRuKJwcrRAycp3MWNzBA4LgU9UFnuUd0K93IPr0aoCItceLtUxUfPL+Hxyo38AL3YID4FHeHr37NkTdep7YsT26hEtHn0JHXwejV/bByKU90bxXPexdcQy3YvIbqkJe/vWuWLMc6rfzg4ObDb7q7A+vGmXx+wFO5FZcOAGU6pVIYzYiIgI5OTmws7ODpqYmNDU1sXz5cuzevRuvXuXPsFa2bFnUqVMHa9euRV5eHjZs2ICePXuK3U+trKxgamqKGzdku0uUKVMGbm5uMDIykjtuUdjb26Nbt25YsmQJrly5goyMDKxYsUImj7OzM9zc3MSlYOxrAS0tLdSpUwejR4/GkSNHMHXqVEybNk2mUWdkZISvv/4aM2bMwF9//YU6depg+vTpCstUrlw5vHr1Spwk621ZWVm4ffs2ypUrp2BLYNasWdi+fTsuXbr0sadCIQMDA5m6u7m5wdxccRfD0NBQpKenY9myZTLpxXHtTExM5Mr1obHCYWFhMDExkVku3/r5o49NVFwa1K+IvbtHi4uZmSEAIOGdyExCQgosCxnXaGZqAA0NqdykMfnbyH7WUtMy0Kf/chgY6GDpoj7Q0noTcf35lz/x+MlLhM34BpUqOsK7sjPmzgnGo8cJiPyN3RQ/hwb1K2Dv7lHiYvb/KI3ia1fI9TZ73/WW3cbISA9OjlaoXs0Vi37siTt3n+NoZGyh5atc0RFxz5KQlZXzKdWjjyB+bhV+1hX/jbS0NJK/7vFv8puZGkBTUwpXV9l5J1xcrBH3lLMZlyQDE31IpRK5KGxKYppctPZtUqkEVvbmcHCzQYP2NVC5rgeObj3zZp8aUtg4yo6JLlXGEonPFffsIFJHKm/M5uTkYMOGDZg3b55MFO2vv/6CnZ2dzNjP3r17Y/fu3di9ezceP36MHj16vCm4VIoOHTpg06ZNCht5n4OZmRlsbW2RllZ4F4+i8PT0RE5ODjIyMhSul0gk8PDwKPQ4bdu2hZaWFubNmye3bsWKFUhLSyu0W66vry/atGmDMWPGfHoFPpGhoSEmTJiAGTNmyIwhVsW1K4qxY8fi1atXMkvFsl9/eEMiFTE00IWjo5W4uLnawMrSGNHn3gwrSE1Nx1+x91GlspPCfWhra8LLszSiz77ZJi8vD9HnbqBK5Tfjs1JT09G77zJoaWli+ZJ+0NHRktlPRkYWpP9/LFYBqVQCCfLHZpHyDA104VjGSlzE6332lpgnNTXj/ddbSxNeng6IPvdmm/zrfbPQbQAAQv64u/c1VK9dfwwTY31ocybUYqelrYnyng44d1b2Op47ewuVvZ0UblPZ20kmPwCcjb6Jyv+/7lramvCqUAb37so+yuv+vRew5aRAJUpTSwOly9ni5sV7YlpenoAbl+7B2dOhyPsR8gTkZOeI+yzjbotnjxJk8rx4lABzaxNFm9PnIJWU3PKFUvlfpAMHDiAxMRG9e/eWm6m2bdu2iIiIELuttm/fHsOGDUP//v3RqFEjlC4t+xzMmTNnIioqCr6+vpg6dSqqVasGAwMDxMbGIjo6GhUqVBDzjh07Fo8fP8aGDRsUlmvlypWIiYlB69at4erqioyMDGzYsAFXrlzB4sWLZfI+f/5crmFqYWEBLS0t1KtXD507d0a1atVgYWGBq1evYty4cahfvz6MjY0RExODSZMmoVu3bvD09IS2tjZOnDiBNWvWFPo4mzJlymDOnDkYMWIEdHV10a1bN2hpaWHfvn0YN24cRowYITOT8btmzJgBLy8vaGp++HLn5uYiJiZGJk1HRwfly5cHkN81t+CZugU0NTVhaal4NsR+/frhxx9/xJYtW2TK+DHXrrjo6OhAR0dHJk1DQ6uQ3P89OrqaKGX75hd+K2tDlHE2Q2pKJl7Gvy7BklFhJBIJuncLwPKVh+FYxgoODhZYuPgXWFubILBhJTFfcK8l+KphJXTtUhcA0DO4PkaP24QKXqVRqaIj1m+MQnp6Ftr8f7bb1NR09Oq7DOkZ2fhhVjekpmYgNTX/HmdubggNDSn8a3pgztx9mDJtJ7p1qYs8QUD46qPQ0NSAn19ZubKS8vKvd10sDz8CR0crONibY+GSg/+/3m8ekRPce2n+9f6mDgCgZ/d6GD1+S/71rlAG6zedyL/erfKv98OH8Th46BJq+XvA3NwQcXFJCI84Bl0dLQTU8QQA/Bb1NxLiU1C5shN0dDTx+5kbWLn6GHoF11f9ifhCde8RgO/HboVnhdKoWLEMNm3Iv46tWufPbjxuzBaUsjbGt6HNAQBdutVBr+ClWL82CnUDyuPXg5dw5e+HmDilvbjPHr3qYVToRlSt5gJfXzf8fvo6TkRdRcS6QSVSR3qjfls/bJqzH6XdbeHoboeon84jKyMbfo3z7+0bZ+2HiaURWvTJ/wwe2fI7yrjbwtLWDDnZubh6/h9cOPY3Onz75ikcDTvUwLrpe+BWsQzKejvi2oXb+Dv6FobO61YidSQqDipvzEZERCAwMFCuIQvkN2bnzJmD2NhYVKpUCfr6+ujUqRPCw8PFiZ/eZmFhgfPnz2P27Nn44YcfcPfuXUilUpQtWxYdO3ZESEiImPfp06d48OBBoeXy9fXF6dOnMWDAADx58kSc2Gnv3r0ICAiQyfvuxEUAEB0djRo1aiAoKAjr16/HuHHj8Pr1a9jZ2aF58+aYOHEigPzJo5ycnDBlyhTcu3cPEolEfD18+PBCyxcSEgIXFxfMnTsXCxcuRG5uLry8vLB8+XL07Nmz0O2A/G7KvXr1Qnh4+HvzAfmPTKpSpYpMmqurK/75J39yiEOHDslNROXu7o7r168r3J+WlhamTZuGb775Rib9Y64dFQ9nNwuMnd5IfP1N72oAgFO/3cbqRWdKqlj0AX17ByI9PQsTJ29Dcko6fKq6YPXKgTKR1IcP45GYlCq+btqkKl6+TMWiJQfxIj4Z5T0csHrlQLHb6ZWrj/BXbP44q6+aTJM5XuSRSXCwt4CrSymsWNoPS5YdQscuP0IqkaB8eQesXjkA1lb8lb+49O3V8P/Xe/ub672iv/z1TnzneiemYdGSX/9/ve2xekV/sbupto4W/rh4B+s3nkBycjosLIxQrZortm76VpxASFNTA5u3ncbMOXsBQUCZMpYYM6olOrSrqdL6f8kaN6mCxJepWLb4EOLjk+HuYY/lK/uJk0LFPU2E9K1ojHcVZ8ya0xWLF/2KRQt+QRlHKyxc3BNly775m90wsBImTGqHiFWRmD1zD5ycrDF/QQ9U/f+kQVRyqtb3ROqrNBxcdwLJiWlwcC2FgWGdYPz/4SWJz19B8tb1zsrIxs5Fh5D0IgVaOpqwLm2B7mNaomp9TzFP5doe6PBtExzbdga7lx6BdWlz9JrUFq4VS8sdnz4PqZQ9lVRNInCefSJRcKuNJV0EUqH1uz7fM5hJDQjyjwqj/65MKa/3lyTqScKHM9F/RlDp7iVdBIV850aW2LHPj5R//vSXoMQezUNERERERET0qTiLAxERERERkZKkGuzwqmqMzBIREREREZHaYWSWiIiIiIhISZwASvUYmSUiIiIiIiK1w8YsERERERERqR02ZomIiIiIiJQklQoltnyKpUuXwsnJCbq6uvDz88P58+cLzVuvXj1IJBK5pVmzZmKeHj16yK1v3LjxJ5WtqDhmloiIiIiI6Auyfft2hIaGYsWKFfDz88OCBQsQFBSEGzduwNraWi7/Tz/9hKysLPF1QkICKleujPbt28vka9y4MdauXSu+1tHRKb5KgI1ZIiIiIiIipanTo3nmz5+Pvn37omfPngCAFStW4JdffsGaNWswZswYufzm5uYyr7dt2wZ9fX25xqyOjg5sbGyKr+DvYDdjIiIiIiIiNZaZmYnk5GSZJTMzU2HerKws/PnnnwgMDBTTpFIpAgMDER0dXaTjRUREoFOnTjAwMJBJj4qKgrW1Ndzd3TFw4EAkJCR8eqWKgI1ZIiIiIiIiJZXkmNmwsDCYmJjILGFhYQrLGR8fj9zcXJQqVUomvVSpUoiLi/tgPc+fP4+///4bffr0kUlv3LgxNmzYgMjISMyePRsnTpxAkyZNkJub++kn9QPYzZiIiIiIiEiNjR07FqGhoTJpxTVeNSIiAhUrVoSvr69MeqdOncT/V6xYEZUqVYKrqyuioqLQsGHDYikLI7NERERERERqTEdHB8bGxjJLYY1ZS0tLaGho4NmzZzLpz549++B417S0NGzbtg29e/f+YJlcXFxgaWmJf/75p+gV+UhszBIRERERESlJXR7No62tDR8fH0RGRoppeXl5iIyMRM2aNd+77c6dO5GZmYmuXbt+8DiPHj1CQkICbG1tP6p8H4ONWSIiIiIioi9IaGgoVq1ahfXr1+PatWsYOHAg0tLSxNmNu3fvjrFjx8ptFxERgVatWsHCwkImPTU1FaNGjcLZs2dx7949REZGomXLlnBzc0NQUFCx1YNjZomIiIiIiJT0sRHSktSxY0e8ePECEydORFxcHLy9vXHo0CFxUqgHDx5AKpWNe964cQOnT5/GkSNH5PanoaGB2NhYrF+/HklJSbCzs0OjRo0wbdq0Yn3WLBuzREREREREX5ghQ4ZgyJAhCtdFRUXJpbm7u0MQFDfY9fT0cPjw4c9ZvCJhN2MiIiIiIiJSO4zMEhERERERKUmqoT7djP8rGJklIiIiIiIitcPILBERERERkZLUaQKo/wpGZomIiIiIiEjtMDJLRERERESkJEZmVY+RWSIiIiIiIlI7bMwSERERERGR2mE3YyIiIiIiIiWxm7HqMTJLREREREREaoeRWSIiIiIiIiVpaDAyq2qMzBIREREREZHaYWOWiIiIiIiI1A67GRMRERERESmJE0CpHiOzREREREREpHYYmSUiIiIiIlISI7Oqx8gsERERERERqR1GZomIiIiIiJQk5aN5VI6RWSIiIiIiIlI7bMwSERERERGR2mE3YyIiIiIiIiVJGSZUOZ5yIiIiIiIiUjuMzBIRERERESmJj+ZRPUZmiYiIiIiISO2wMUtERERERERqh92MiYiIiIiIlMRuxqrHyCwRERERERGpHUZmiYiIiIiIlCTVYGRW1RiZJSIiIiIiIrXDyCwREREREZGSOGZW9RiZJSIiIiIiIrXDxiwRERERERGpHXYzJiIiIiIiUhK7GaseI7NERERERESkdhiZJSIiIiIiUhIjs6rHyCwRERERERGpHTZmiYiIiIiISO2wmzEREREREZGSpBrsZqxqjMwSERERERGR2mFkloiIiIiISEmcAEr12Jglesv6XdYlXQRSoeB2z0u6CKRCy3cZlXQRSIV0pAYlXQRSob9eapR0EUiFgkqXdAno34LdjImIiIiIiEjtMDJLRERERESkJA1JSZfgy8PILBEREREREakdRmaJiIiIiIiUJGVkVuUYmSUiIiIiIiK1w8gsERERERGRkjhmVvUYmSUiIiIiIiK1w8YsERERERERqR12MyYiIiIiIlISuxmrHiOzREREREREpHYYmSUiIiIiIlISI7Oqx8gsERERERERqR02ZomIiIiIiEjtsJsxERERERGRkqTsZqxyjMwSERERERGR2mFkloiIiIiISEmcAEr1GJklIiIiIiIitcPILBERERERkZIYmVU9RmaJiIiIiIhI7bAxS0RERERERGqH3YyJiIiIiIiUJGWYUOV4yomIiIiIiEjtMDJLRERERESkJE4ApXqMzBIREREREZHaYWOWiIiIiIiI1A4bs0RERERERErSkJTc8imWLl0KJycn6Orqws/PD+fPny8077p16yCRSGQWXV1dmTyCIGDixImwtbWFnp4eAgMDcevWrU8rXBGxMUtERERERPQF2b59O0JDQzFp0iRcvHgRlStXRlBQEJ4/f17oNsbGxnj69Km43L9/X2b9nDlzsGjRIqxYsQLnzp2DgYEBgoKCkJGRUWz1YGOWiIiIiIhISVJJyS0fa/78+ejbty969uwJT09PrFixAvr6+lizZk2h20gkEtjY2IhLqVKlxHWCIGDBggX4/vvv0bJlS1SqVAkbNmzAkydPsHfv3k84m0XDxiwREREREZEay8zMRHJyssySmZmpMG9WVhb+/PNPBAYGimlSqRSBgYGIjo4u9BipqalwdHRE6dKl0bJlS1y5ckVcd/fuXcTFxcns08TEBH5+fu/dp7LYmCUiIiIiIlKShkQosSUsLAwmJiYyS1hYmMJyxsfHIzc3VyayCgClSpVCXFycwm3c3d2xZs0a7Nu3D5s2bUJeXh78/f3x6NEjABC3+5h9fg58ziwREREREZEaGzt2LEJDQ2XSdHR0Ptv+a9asiZo1a4qv/f39Ub58eaxcuRLTpk37bMf5WGzMEhERERERqTEdHZ0iN14tLS2hoaGBZ8+eyaQ/e/YMNjY2RdqHlpYWqlSpgn/++QcAxO2ePXsGW1tbmX16e3sXaZ+fgt2MiYiIiIiIlKQuj+bR1taGj48PIiMjxbS8vDxERkbKRF/fJzc3F5cvXxYbrs7OzrCxsZHZZ3JyMs6dO1fkfX4KRmaJiIiIiIi+IKGhoQgODka1atXg6+uLBQsWIC0tDT179gQAdO/eHfb29uK426lTp6JGjRpwc3NDUlISfvjhB9y/fx99+vQBkD/TcUhICKZPn46yZcvC2dkZEyZMgJ2dHVq1alVs9WBjloiIiIiISEkfGyEtSR07dsSLFy8wceJExMXFwdvbG4cOHRIncHrw4AGk0jedeBMTE9G3b1/ExcXBzMwMPj4+OHPmDDw9PcU83333HdLS0tCvXz8kJSWhdu3aOHToEHR1dYutHhJBEIRi2zuRusk5XNIlIBUKblf4g8Hpv2f5LqOSLgKpkI6GQUkXgVRoXizv51+S7yp3KekiKLTg8uYSO3ZIxX/nOSluHDNLREREREREaofdjImIiIiIiJQkVaNuxv8VjMwSERERERGR2mFkloiIiIiISEnqNAHUfwUjs0RERERERKR2GJklIiIiIiJSEiOzqsfILBEREREREakdNmaJiIiIiIhI7bCbMRERERERkZL4aB7VY2SWiIiIiIiI1A4js0REREREREriBFCqx8gsERERERERqR02ZomIiIiIiEjtsJsxERERERGRktjNWPUYmSUiIiIiIiK1w8gsERERERGRkhiZVT1GZomIiIiIiEjtMDJLRERERESkJCkjsyrHxmwJk0je/66fNGkSevToAWdnZ1y6dAne3t64d+8enJ2dIZVK8eDBA9jb24v5nz59itKlSyM3Nxd3796Fk5OTmF+R6Oho1KhRo9DjHzhwAD/88AMuXryI3NxceHl5YfDgwejRo4eYp2D/VlZWuH37NoyMjMR13t7eaNWqFSZPnvzeeqanp8Pe3h5SqRSPHz+Gjo6OzHonJyfcv38fAKCvrw93d3eMHTsW7du3BwBMnjwZU6ZMAQBoaGjAwcEBrVu3xrRp02BoaPjeY6s7QRCwaMlB7NwVjeSUdFSt4ozJEzvAydH6vdtt3nISEWt/w4v4ZHi422PCuHaoVMkRAJCUlIbFS3/F6TPX8fRpIszNDBHYsCK+HdoMRkZ64j5iL9/HvB9/xpWrDyGRAJUqOGLUiJbw8LAv7LBUQtw9rdGktRecXM1hZq6PhWFRuHjuYUkXiz5g+5YzWL/2JBLiU1DO3Rajx7VEhUqlC81/9HAsli0+giePE1HG0RLDQpugTl0Pcf3rtEws+vFXHP/tCl4lvYadvTk6d62F9h3z/w68SnqN5UuP4uyZm4h7mgQzMwPUa+iFQUMbyXz2qXhs2XwCayIiER+fDHcPe4z/vj0qVXIqNP+hQxexeOEvePw4AY6OVggd2QoBAV4AgOzsXCxa+DNOnriCR48SYGioi5r+HggNbQHrUqbiPq5eeYh58/bi78sPIJVK0KiRN74b0xYGBjqFHJVU6eqhC7j88xmkJ6XC3LEUavZqAis3xX9jb0bF4NSy/TJpGloa6LF5vCqKSlQi2M24hD19+lRcFixYAGNjY5m0kSNHFrqtvb09NmzYIJO2fv16mcbt244dOyaz76dPn8LHx6fQ/S9evBgtW7ZErVq1cO7cOcTGxqJTp04YMGCAwnKlpKRg7ty5Ray5rN27d8PLywseHh7Yu3evwjxTp07F06dPcenSJVSvXh0dO3bEmTNnxPVeXl54+vQp7t27h9mzZyM8PBwjRoz4pPKok1URx7Bx80lMntQBO7aGQk9PG737LUdmZnah2xz89SLC5uzB4EGNsWfnKHi426N3/2VISEgBADx/8QrPn7/C6JEtcWDvGITN6IJTp69h/IQt4j7S0jLRt/9y2NmaYcfWUGzZGAIDAx307rcM2dm5xV5v+jg6upp4eDcRG1eeL+miUBEd/vUvzJtzAP0HNcSWncNQzt0Wg/pH4GVCqsL8MZfuYeyorWjVpjq27hqGeg08ETp0A/65FSfmmTfnAM6cvokZszrhp59HoEu32pg9Yx+ifrsKAHjxIhkvnidj+Mhm2Lk3FFNmdMCZ0zcxZcIuldT5S/brwT8xe9YeDBrcBLt+Gg0Pd3v067NUvC+/69LFOxg1Yh3atKuJ3XvGoGFgZQwdEo5bN58AADIysnD16kMMGNQEu3aPxqLFfXH37jMMHrRS3MfzZ0no1WsxypSxwrbtIxG+ejD++ScO48duVEmd6f3unLmCcxuOoEq7ALSc3Q/mjjY4NGMz0l+lFbqNlp4OOoeHikvHpd+qsMREqsfGbAmzsbERFxMTE0gkEpm090UVg4ODsXbtWpm0tWvXIjg4WGF+CwsLmX3b2NhAS0tLYd6HDx9ixIgRCAkJwcyZM+Hp6Qk3NzeMGDECP/zwA+bNm4dz587JbDN06FDMnz8fz58//8izAERERKBr167o2rUrIiIiFOYxMjKCjY0NypUrh6VLl0JPTw8///yzuF5TUxM2NjZwcHBAx44d0aVLF+zfv1/hvv4rBEHAho0nMLB/IwQ2qAQPd3vMCeuG589f4VhkbKHbrV1/HB3a+aNt6xpwc7PFlEkdoKurjd0/nQUAlCtrh8ULe6NB/YooU8YKNWuUQ8i3zfFb1N/IyclvqN65+wxJr15j2JCmcHEuhbJuthg8qAniE1Lw5MlLldSfii724hPs3hKDPxmNVRub1p9Cm3a+aNm6OlzdSmH8pNbQ1dXC3p8uKMy/ddPv8K9dDsG9AuDiWgqDhwWhvKcdtm1586PfXzH30bxlVVTzdYWdvTnadvBDOXdbXLmc/75wK2uDeQu7IaC+J0qXsYBvDTcM+TYIJ6OuiZ99Kh7r1v2G9u390aZtTbi52WLSlE7Q1dXGT7ujFebfuDEKtWuXR+/egXB1tcGwb5vD07M0Nm8+AQAwMtJDxJqhaNKkKpxdSqGytzO+n9ABV648FO/RUVF/Q0tTAxMmdoCzSylUrOiISZM74siRGNy//0JVVadC/H0gGu4Nq6JcfW+YOVihVt9m0NTWws3jlwrdRiIB9E0NxUXP9L/dO+3fRkNScsuXio1ZNdaiRQskJibi9OnTAIDTp08jMTERX3/9tdL73rVrF7KzsxVGYPv37w9DQ0Ns3bpVJr1z585wc3PD1KlTP+pYt2/fRnR0NDp06IAOHTrg1KlTYpfiwmhqakJLSwtZWVmF5tHT03vv+v+CR48S8CI+Gf413MU0IyM9VK7kiEt/3VO4TVZWDq5cfQj/mm+2kUql8K/hjkt/3S30WKkp6TA01IWmpgYAwNnZGqamBtj1UzSysnKQkZGFXbuj4epSCvb25p+ngkRfqOysHFy7+hh+NcuKaVKpFH413BD71wOF28TG3IdfDTeZtJq1yiE25k3+yt6OOHH8Gp4/ewVBEHDh3G3cv/cCNWqVfXd3opSUDBi89dmnzy8rKwdXrzxEDX/Z+3LNmu6IiVF8X46JuYua/h4yabVqlcdfMfcKPU5KSjokEgmMjfXE42ppaUAqffN1UEdXGwBw8c/bn1od+gxyc3IRf+cp7Cq+GSYmkUpgV9EZz28+KnS77IwsbBu0ENsGLsDROduQ+PDjAwxE6oSNWTWmpaWFrl27Ys2aNQCANWvWoGvXroVGW/39/WFoaCizFObmzZswMTGBra2t3DptbW24uLjg5s2bMukSiQSzZs1CeHg4bt8u+h/BNWvWoEmTJjAzM4O5uTmCgoLkIs5vy8rKQlhYGF69eoUGDRoozPPnn39iy5Ytha7/r3gRnwwAsLA0kkm3sDBC/P/XvSsxKQ25uXmwsFC0jeLubC8TU7FsxWF0bF9LTDM00MXGdUOx/+c/UNlnBKpUH4VTv1/DqpUD+aWXSEmJSa+Rm5sHcwvZ+7SFhRESCvmcxsenwlzB5/rtbqqjx7eEi6s1ghrMhK/3OAzuH4Ex37eCTzUXxeVITMOqFZFo295XyRrR+yQlpiI3Nw+W714/S+NC7+Xx8cly93FLy8Lv/ZmZ2Zg/dx+aNvOBoWF+Y9avhjvi45MREXEMWVk5ePXqNX6ctw8A8OLFK2WrRUrISH4NIU+AnqmBTLqeqQHSkxQPNTCxs0CdgS3w1XcdETC0FYQ8AT9/vxZpCYrfE/T5MTKremzMqrlevXph586diIuLw86dO9GrV69C827fvh0xMTEyy+cWFBSE2rVrY8KECUXKn5ubi/Xr16Nr165iWteuXbFu3Trk5eXJ5B09ejQMDQ2hr6+P2bNnY9asWWjWrJm4/vLlyzA0NISenh58fX1Rs2ZNLFmypNBjZ2ZmIjk5WWbJzPx3R3L3H7iAKtVGiosquv2lpqaj/8CVcHW1wZBBTcT0jIwsjJ+wFVWruGD7llBs3RSCcm626D9wJTIy/t3nkehLtW3z77gc+wALlgRj845hCB3VHLOm78XZ6FtyeVNTMzBs4Fq4uFqj/6CvSqC09LlkZ+ciNCQCAgRMmtxRTC9b1hYzw7ph3dpI+FQJRd3a42DvYAELSyOZaC2ph1LlSqNsQGVYONnA1tMJgSM7QNdYH9eP/lnSRSMqNpzNWM1VrFgRHh4e6Ny5M8qXL48KFSoU2kgtXbo03NzcFK57V7ly5fDq1Ss8efIEdnZ2MuuysrJw+/Zt1K9fX+G2s2bNQs2aNTFq1KgPHufw4cN4/PgxOnbsKJOem5uLyMhIfPXVmy9Qo0aNQo8ePWBoaIhSpUrJzQTt7u6O/fv3Q1NTE3Z2dtDW1n7vscPCwsQZkAtMmtAFkyd2+2C5S0qD+hVRuaKT+DorOwcAkBCfAmsrEzE9ISEFHh4OCvdhZmoADQ2p3KQiCQkpsHwnwpualoE+/ZfDwEAHSxf1gZbWm4jrz7/8icdPXmL7luHil565c4Lh6z8Gkb9dRrOmhU8uRkTvZ2aqDw0NqdxkTwkJKXI9MQpYWhripYLPdUH0LiMjG4sXHMb8Rd1QJ6A8AKCcuy1u3HiCjWtPosZbXZrT0jIxuH8E9A10MH9Rd5nPPn1+pmaG0NCQIv7d6xefDEtLY4XbWFoay93H4+NT5PJnZ+cidHgEnjxJxNp1Q8WobIHmX1dH86+rIz4+GXp6OpBIgPXrfoNDaYvPUDP6VLrG+pBIJUhPkp3sKT0prcjjYKWaGrBwtkFyHOexoP8u/uz2H9CrVy9ERUW9Nyr7sdq2bQstLS3MmzdPbt2KFSuQlpaGzp07K9zW19cXbdq0wZgxYz54nIiICHTq1EkuYtypUye5iaAsLS3h5uYGGxsbhY800tbWhpubG5ycnD7YkAWAsWPH4tWrVzLL2NEdP7hdSTI00IWjo5W4uLnawMrSGNHn3nT5Tk1Nx1+x91GlspPCfWhra8LLszSiz77ZJi8vD9HnbqBK5Tdjc1JT09G77zJoaWli+ZJ+0NGR7b6ekZEFqUQicy2kUgkkAPLyhM9TYaIvlJa2Jsp72uPc2X/EtLy8PJw/9w8qVS6jcJtK3o44f1Z2iMfZ6Fuo5J2fPycnFzk5uZC88yBEDakEecKbz2xqagYG9l0NLS1NLFgSLPfZp89PW1sTnl6lcTb6hpiWl5eHs2dvwttb8aP1vL2dZfIDQPSZ66js7SS+LmjI3r//AhFrh8DUrPBGkKWlMQwMdPDrrxeho6MF/3fG45JqaWhqwNLFFk//fjNmWsgT8OTvu7Aup/jH6nfl5eUh8cFz6L3nutPnJZWU3PKlYmT2P6Bv375o3749TE1N35svISEBcXFxMmmmpqbQ1dWVy1umTBnMmTMHI0aMgK6uLrp16wYtLS3s27cP48aNw4gRI+Dn51fosWbMmAEvLy9oahb+Fnvx4gV+/vln7N+/HxUqVJBZ1717d7Ru3RovX76EuXnxTCako6Mj9zxb5Hy4EfxvIpFI0L1bAJavPAzHMlZwcLDAwsW/wNraBIENK4n5gnstwVcNK6Frl7oAgJ7B9TF63CZU8CqNShUdsX5jFNLTs9Cmdf41TU1NR6++y5CekY0fZnVDamoGUlMzAADm5vkRBP+aHpgzdx+mTNuJbl3qIk8QEL76KDQ0NeDnV/hkMlQydHQ1Ucr2TUTPytoQZZzNkJqSiZfxr0uwZFSYrsF1MHHcDnh6OaBCRQds2Xga6enZaNm6GgDg+7HbYW1tjGHD87v/d+5aC317rMSGdSdRp64HDv/6F67+/RgTJrcFABga6sKnugsWzD0IXR0t2NqZ4c8Ld3Bg/0WEftccQH5DdlDf1cjIyMaMWZ2QlpqJtNRMAICZeX6vDioePXo0wNgxG1GhQhlUrOSEDeuPIz09E63b5D8DeMzoDbC2NkHoiJYAgG7d6iG4+wKsXROJgHpeOPjLn/j7ygNMmZr/Q3N2di5Cvl2Na1cfYtmKAcjNFfDiRf7YSRMTfWhr5/993rzpBKpUcYG+vjbOnLmOuT/sxfDQljA21i+Bs0Bvq9C8Jk4u3QtLFztYudnh74PnkJOZjXL1vAEAJ5bshb65Eap/0xAAcGnXCViVdYCxjTmy0jJwef8ZpL54BfeGVUuwFkTFi43Z/wBNTU1YWlp+MF9gYKBc2tatW9GpUyeF+UNCQuDi4oK5c+di4cKFyM3NhZeXF5YvX46ePXu+91jlypVDr169EB4eXmieDRs2wMDAAA0bNpRb17BhQ+jp6WHTpk0YNmzYB2r2ZevbOxDp6VmYOHkbklPS4VPVBatXDpSJpjx8GI/EtyaMaNqkKl6+TMWiJQfxIj4Z5T0csHrlQLF72pWrj/BXbP6M0l81mSZzvMgjk+BgbwFXl1JYsbQfliw7hI5dfoRUIkH58g5YvXKATJdn+ndwdrPA2OmNxNff9M5vEJ367TZWLzpT2GZUgoKaVEbiyzQsX3IECfEpcPeww9KVvcRuxnFPkyB9q2eEdxUnzJzTGUsXHcaSBYdQxtES8xd3h1tZGzHPrB++weIFv2Lc6G1IfvUatnZmGDwsCO075jeYrl99jMux+Y/padFkjkx5fjkyGnacqbzYNGnqg5cvU7F48S+If5ECj/L2WLlqsHhffvrkpcz1rlLVBXPm9sCiBQew4Mef4ehkhcVL+qFsufyhQc+fJeH4b5cBAG1azZI51rr1w+DrVw4AcPnyfSxZ/Atev86Ci0spTJ7SGS1acsKvfwMXfy9kJKfhzx1RSE9KhYVTKQSN+0bsZpwa/0qmd1RmagZOrzyA9KRU6BjowsLFFs2n94SZg1VJVeGLI5WwZ5qqSQRB4FknKpBzuKRLQCoU3I6PLPiSLN+leKwp/TfpaBh8OBP9Z8yL5f38S/Jd5S4lXQSF9tzdVGLHbu3c9cOZ/oMYmSUiIiIiIlLSl/yInJLCwS9ERERERESkdtiYJSIiIiIiIrXDbsZERERERERK4gRQqsfILBEREREREakdRmaJiIiIiIiUJOUEUCrHyCwRERERERGpHTZmiYiIiIiISO2wmzEREREREZGSNDgBlMoxMktERERERERqh5FZIiIiIiIiJXECKNVjZJaIiIiIiIjUDhuzREREREREpHbYzZiIiIiIiEhJUk4ApXKMzBIREREREZHaYWSWiIiIiIhISRqcAErlGJklIiIiIiIitcPILBERERERkZL4aB7VY2SWiIiIiIiI1A4bs0RERERERKR22M2YiIiIiIhISXw0j+oxMktERERERERqh5FZIiIiIiIiJfHRPKrHyCwRERERERGpHTZmiYiIiIiISO2wmzEREREREZGSOAGU6jEyS0RERERERGqHkVkiIiIiIiIlSTkBlMoxMktERERERERqh5FZIiIiIiIiJWlwzKzKMTJLREREREREaoeNWSIiIiIiIlI77GZMRERERESkJE4ApXqMzBIREREREZHaYWSWiIiIiIhISVJOAKVyjMwSERERERGR2mFjloiIiIiIiNQOG7NERERERERKkpbg8imWLl0KJycn6Orqws/PD+fPny8076pVq1CnTh2YmZnBzMwMgYGBcvl79OgBiUQiszRu3PgTS1c0bMwSERERERF9QbZv347Q0FBMmjQJFy9eROXKlREUFITnz58rzB8VFYXOnTvj+PHjiI6ORunSpdGoUSM8fvxYJl/jxo3x9OlTcdm6dWux1oONWSIiIiIiIiVpSIQSWz7W/Pnz0bdvX/Ts2ROenp5YsWIF9PX1sWbNGoX5N2/ejEGDBsHb2xseHh5YvXo18vLyEBkZKZNPR0cHNjY24mJmZvZJ57Ko2JglIiIiIiJSY5mZmUhOTpZZMjMzFebNysrCn3/+icDAQDFNKpUiMDAQ0dHRRTre69evkZ2dDXNzc5n0qKgoWFtbw93dHQMHDkRCQsKnV6oI2JglIiIiIiJSklRScktYWBhMTExklrCwMIXljI+PR25uLkqVKiWTXqpUKcTFxRWprqNHj4adnZ1Mg7hx48bYsGEDIiMjMXv2bJw4cQJNmjRBbm7up5/UD+BzZomIiIiIiNTY2LFjERoaKpOmo6NTLMeaNWsWtm3bhqioKOjq6orpnTp1Ev9fsWJFVKpUCa6uroiKikLDhg2LpSyMzBIREREREakxHR0dGBsbyyyFNWYtLS2hoaGBZ8+eyaQ/e/YMNjY27z3O3LlzMWvWLBw5cgSVKlV6b14XFxdYWlrin3/++bjKfAQ2ZomIiIiIiJQklQgltnwMbW1t+Pj4yEzeVDCZU82aNQvdbs6cOZg2bRoOHTqEatWqffA4jx49QkJCAmxtbT+qfB+DjVkiIiIiIqIvSGhoKFatWoX169fj2rVrGDhwINLS0tCzZ08AQPfu3TF27Fgx/+zZszFhwgSsWbMGTk5OiIuLQ1xcHFJTUwEAqampGDVqFM6ePYt79+4hMjISLVu2hJubG4KCgoqtHhwzS0REREREpCQNSUmXoOg6duyIFy9eYOLEiYiLi4O3tzcOHTokTgr14MEDSKVv4p7Lly9HVlYW2rVrJ7OfSZMmYfLkydDQ0EBsbCzWr1+PpKQk2NnZoVGjRpg2bVqxjd0F2JglIiIiIiL64gwZMgRDhgxRuC4qKkrm9b179967Lz09PRw+fPgzlazo2M2YiIiIiIiI1A4js0REREREREr62ImYSHmMzBIREREREZHaYWSWiIiIiIhISVI1mgDqv4KRWSIiIiIiIlI7jMwSEREREREpSYNjZlWOkVkiIiIiIiJSO2zMEhERERERkdphN2MiIiIiIiIlcQIo1WNjluhtQl5Jl4BUaPkuo5IuAqnQwHYpJV0EUqH12zRKugikQt9VsivpIhBRCWBjloiIiIiISEkSjuBUOZ5xIiIiIiIiUjtszBIREREREZHaYTdjIiIiIiIiJUkknAFK1RiZJSIiIiIiIrXDyCwREREREZGSOAGU6vGMExERERERkdphZJaIiIiIiEhJHDOreozMEhERERERkdphY5aIiIiIiIjUDrsZExERERERKYkTQKkezzgRERERERGpHUZmiYiIiIiIlCQBJ4BSNUZmiYiIiIiISO2wMUtERERERERqh92MiYiIiIiIlCSRME6oajzjREREREREpHYYmSUiIiIiIlISJ4BSPUZmiYiIiIiISO0wMktERERERKQkjplVPZ5xIiIiIiIiUjtszBIREREREZHaYTdjIiIiIiIiJXECKNVjZJaIiIiIiIjUDiOzRERERERESpIwTqhyPONERERERESkdtiYJSIiIiIiIrXDbsZERERERERKkkg4AZSqMTJLREREREREaoeRWSIiIiIiIiVxAijV4xknIiIiIiIitcPGLBEREREREakddjMmIiIiIiJSkgScAErVGJklIiIiIiIitcPILBERERERkZIkEsYJVY1nnIiIiIiIiNQOI7NERERERERK4phZ1WNkloiIiIiIiNQOG7NERERERESkdtjNmIiIiIiISEmcAEr1eMaJiIiIiIhI7TAyS0REREREpCQJ44QqxzNOREREREREaoeNWSIiIiIiIlI77GZMRERERESkJD5nVvUYmSUiIiIiIiK1w8gsERERERGRkvhoHtXjGSciIiIiIiK1w8gsERERERGRkjhmVvUYmSUiIiIiIiK1w8YsERERERERqR12MyYiIiIiIlISJ4BSPZ5xIiIiIiIiUjuMzBIRERERESmJE0CpHiOzREREREREpHa+yMasRCJ57zJ58mTcu3cPEokEMTExACC+1tDQwOPHj2X29/TpU2hqakIikeDevXsy+RUtZ8+efW/5Dhw4gICAABgZGUFfXx/Vq1fHunXrZPIU7N/a2hopKSky67y9vTF58mSF+75+/brCMtSoUQO6urrIyMgQ0zIyMqCrq4uIiAgAQI8ePRTWp3HjxuI2Tk5OYrqGhgbs7OzQu3dvJCYminlev36NsWPHwtXVFbq6urCyskJAQAD27dsn5qlXrx5CQkLeex4LlnXr1iEqKqrQ9XFxce893+pOEAQsXHIQtetNRCWfUejRZxnu3X/xwe02bz2FBo2moGLVkWjfeT5iL9+XWT9xynYENp6GSj6jUKPOeAwcuhq37zyTyeNeIURu+eXgxc9aP5K1fcsZNP1qFvyqjEe3Tkvwd+zD9+Y/ejgWrZvPhV+V8Wjf6kecOnldZv3rtEzMmr4XQQ1moEbV8Wjz9Tzs3P7m/vAq6TVmzdiHVs1+QI2q49Gk4UzMnrkPKSnpxVI/+jzcPa0RMr4+Fqxpi/V7u6GqX+mSLhIVgSAIWLj0EGo3nIJKvmPQo9/Kot3Pt/2OBk1moGL1MWjfZSFiLz8odP99Bq2Ce+WROPbb3zLrYv9+gOC+K1Ct9veoXnsCeg8Ix/UbTz5LvSifIAhYuGg/atf5DpUqD0WPngtw796zD263eXMUGjQYh4qVhqB9h1mIjb0rsz4zMxtTpm6Fn98IVKn6LYYOXYn4+GRx/fXrjxAauhoB9caiUuWhaNJ0MtZviJQ7TlZWNn78cS/qNxiHChWHoEGDcdi1+3flK05UjL7IxuzTp0/FZcGCBTA2NpZJGzlyZKHb2tvbY8OGDTJp69evh729vcL8x44dk9n306dP4ePjU+j+Fy9ejJYtW6JWrVo4d+4cYmNj0alTJwwYMEBhuVJSUjB37twi1hzw8PCAjY0NoqKiZPZx8eJFWFlZyTRyo6OjkZmZiQYNGohpjRs3lqvP1q1bZY4xdepUPH36FA8ePMDmzZtx8uRJDBs2TFw/YMAA/PTTT1i8eDGuX7+OQ4cOoV27dkhISJArb+nSpWWONWLECHh5ecmkdezYUcx/48YNufJZW1sX+fyoo1VrIrFx80lMntgeO7YMh56eNnr3X4HMzOxCtzn460WEzdmLwQMbY8/OkfBwt0fv/iuQkPDmhxEvz9IIm/4NDu4fg4iVAyAIAnr3W47c3DyZfYVN74zTUVPFJbBhxWKr65fu8K9/Yd6cA+g/qCG27ByGcu62GNQ/Ai8TUhXmj7l0D2NHbUWrNtWxddcw1GvgidChG/DPrTc/8MybcwBnTt/EjFmd8NPPI9ClW23MnrEPUb9dBQC8eJGMF8+TMXxkM+zcG4opMzrgzOmbmDJhl0rqTJ9GR1cTD+8mYuPK8yVdFPoIq9Yex8atpzH5+7bYsWlY/v184Kr3388PxSBs7n4M7v8V9mwLgYe7HXoPXCVzPy+wftMpSCTy3SDTXmei76DVsLMxxY5Nw7Bl3WAYGOig98BVyM7O/ax1/JKtWn0EGzcex+TJ32DHjtH517fP4vdf34N/IGzWLgwe3Bx7fhoHD3cH9O6zGAkJbxqrM8N24vjxWCxY2BcbN4Ti+fMkDBm6Qlz/95X7MLcwwg9zeuKXAxMxYEATzJ+/F5s2HZc51rchqxB99gZmTO+GQ79Oxrx5feDsXOrzn4j/MAmkJbZ8iqVLl8LJyQm6urrw8/PD+fPv/5uxc+dOeHh4QFdXFxUrVsTBgwdl1guCgIkTJ8LW1hZ6enoIDAzErVu3PqlsRfVFNmZtbGzExcTEBBKJRCbN0NCw0G2Dg4Oxdu1ambS1a9ciODhYYX4LCwuZfdvY2EBLS0th3ocPH2LEiBEICQnBzJkz4enpCTc3N4wYMQI//PAD5s2bh3PnzslsM3ToUMyfPx/Pnz8vcv3r168v05g9ffo0ypUrh6+//lomPSoqCo6OjnB2dhbTdHR05OpjZmYms38jIyPY2NjA3t4e9evXR3BwMC5efBOt279/P8aNG4emTZvCyckJPj4+GDp0KHr16iVXVg0NDblro6mpKZOmp6cn5re2tpYrn1T6332bC4KADRtPYmC/RghsUBEe7naYM7MLnj9/hWORlwvdbu2GKHRoVxNtW/vBzdUGUya2h66uNnbvefP+6tjeH9WrucLB3gJenqURMrQZnsYl4fHjlzL7MjbSg5Wlsbjo6Ch+f5PyNq0/hTbtfNGydXW4upXC+Emtoaurhb0/XVCYf+um3+FfuxyCewXAxbUUBg8LQnlPO2zbckbM81fMfTRvWRXVfF1hZ2+Oth38UM7dFlcu50d83craYN7Cbgio74nSZSzgW8MNQ74Nwsmoa8jJ4Zfcf6vYi0+we0sM/jz3/sg9/XsIgoANm09hYN9ABNavAI9ydpgzvROev0iWi6K+be3GE+jQxg9tW/nm38+/bwtdXS3s3it7X7h2/THWbDiBmVM6yO3jzt3nSHr1GsMGN4aLkzXKutlg8IBGiE9IwZOniXL56eMJgoANGyIxcEATBDb0hoe7A+bM7onnz5Nw7FhModutXXcMHdrXQtu2/nBzs8OUKd/kX9/d+ffxlJR07N79O8aMboeaNTxQoYIjZoYF49KlO4iJuQMAaNe2Fr4f3xG+vuVQurQVWrbwQ5s2/jhy9M1xT566ggsXbiF85RD4+5eHg4MlqlRxgU9Vt+I8LVSCtm/fjtDQUEyaNAkXL15E5cqVERQUVGib4syZM+jcuTN69+6NS5cuoVWrVmjVqhX+/vvN/WnOnDlYtGgRVqxYgXPnzsHAwABBQUEyPT8/t//ut/xi0qJFCyQmJuL06dMA8huCiYmJ+Prrr5Xe965du5Cdna0wAtu/f38YGhrKRUE7d+4MNzc3TJ06tcjHqV+/Pk6fPo2cnBwAwPHjx1GvXj0EBATg+PE3v9IdP34c9evX/8Ta5Hv8+DF+/vln+Pn5iWk2NjY4ePCgXPdo+niPHiXgRXwy/GuWE9OMjPRQuZIjLv11T+E2Wdk5uHL1EfxrvNlGKpXCv0a5Qrd5/ToTP+09BwcHC9jYmsqsmzJjN/xqj0e7TvOx66ezEARB2WqRAtlZObh29TH8apYV06RSKfxquCH2L8VdCmNj7sOvhuwXkZq1yiE25k3+yt6OOHH8Gp4/ewVBEHDh3G3cv/cCNWqVfXd3opSUDBgY6kJTU0PJWhFRgUePX+JFfAr8/d589oyM9FC5Yhlcir2vcJus7BxcufZYwf28rMw26elZGDF2MyaOaw0rS2O5/Tg7WcHUVB+79pxDVnYOMjKysWvPebi6WMPezkwuP328R4/i8eJFMvz9y4tp+X+vnXHp/43Od2Vl5eDKlQcy20ilUvjXLC9u8/eV+8jOzpXJ4+piAzs7c7Exq0hKSjpMTfTF17/99hcqVHDE6ogjqFN3NIKCJmL27F3IyMj65Dp/iT40NK44l481f/589O3bFz179oSnpydWrFgBfX19rFmzRmH+hQsXonHjxhg1ahTKly+PadOmoWrVqliyZAmA/B9sFixYgO+//x4tW7ZEpUqVsGHDBjx58gR79+5V5rS+FxuzH0lLSwtdu3YVL/SaNWvQtWvXQqOt/v7+MDQ0lFkKc/PmTZiYmMDW1lZunba2NlxcXHDz5k2ZdIlEglmzZiE8PBy3b98uUh3q16+PtLQ0XLiQ/6ttVFQUAgICULduXZw7dw4ZGRlIT0/H+fPn5RqzBw4ckKvPzJkzZfKMHj0ahoaG0NPTg4ODAyQSCebPny+uDw8Px5kzZ2BhYYHq1atj+PDh+P33zzMmw8HBQaZsXl5ehebNzMxEcnKyzPK+rj7/Ri/i838QsLAwkkm3sDCSGS/ztsTENOTm5hVpm83bTqNK9e9QxXc0Tp6+hrXhA6Gt9WYS9GFDmmDB3GCsXTUQjb6qhCnTd2Hj5pOfo2r0jsSk18jNzYO5hew9xMLCCAnxin8Yio9PhbmC6/x298PR41vCxdUaQQ1mwtd7HAb3j8CY71vBp5qL4nIkpmHViki0be+rZI2I6G2F388NEV/IZ/zN/Vz+vvD2/Tzsh/2oUtkJgfUrKNyPoYEuNq4eiP2/XERl37GoUnMcTv1+HauW9uGPVp/Jixf518PCQvbHBAvL9/29Tv3/9S18m/gXydDS0oSxsb5sHgsjvChkvxcv3savv/6BDh3qiGkPH8bjzz//wa2bT7B0yQCMG9cehw9fxJQpWxXug/59FH+vzVSYNysrC3/++ScCAwPFNKlUisDAQERHRyvcJjo6WiY/AAQFBYn57969i7i4OJk8JiYm8PPzK3SfnwMbs5+gV69e2LlzJ+Li4rBz506F3WMLbN++HTExMTLL5xYUFITatWtjwoQJRcrv5uYGBwcHREVFITk5GZcuXUJAQABsbW1RpkwZREdHi+Nl323M1q9fX64+AwYMkMkzatQoxMTEIDY2FpGR+RMMNGvWDLm5+V0S69atizt37iAyMhLt2rXDlStXUKdOHUybNk3pc3Hq1CmZsr3bl/9tYWFhMDExkVnCZm9XugzFaf+BP/Ibl/9firubZ4tmPtizaxQ2rRsKJ0crhIxcJ9PgHzwgCD5VXeBZ3gH9egeiT68GiFh7/D17pH+bbZt/x+XYB1iwJBibdwxD6KjmmDV9L85Gy49xSU3NwLCBa+Hiao3+g74qgdIS/Xfs/+UiqtQYJy7FdT+PjLqCsxf+wbjvWhaaJyMjG+Mn70BVbyds3zgUW9cPQTk3G/QfEoGMDPX6kfffYv/P51Cl6rfi8m8ZlnHz5mMMGrwcgwc3R+3anmK6kCdAIpFg7txeqFTJGQEBFTFmTHvs2XuW0dmPIZTcovB7bViYwmLGx8cjNzcXpUrJjokuVapUoROnxsXFvTd/wb8fs8/Pgc+Z/QQVK1aEh4cHOnfujPLly6NChQqFNlJLly4NN7eijTcoV64cXr16hSdPnsDOzk5mXVZWFm7fvl1ot99Zs2ahZs2aGDVqVJGOVa9ePRw/fhyVKlVC2bJlxUmSCroaC4IANzc3lC4tOwOmgYHBB+tjaWkp5ilbtiwWLFiAmjVr4vjx4+KvNVpaWqhTpw7q1KmD0aNHY/r06Zg6dSpGjx4NbW3tItVBEWdnZ5iamhYp79ixYxEaGiqTpiON+uRjq0KD+hVQuZKj+DorK7+reEJCCqytTMT0hIQUeLgrnpTMzMwAGhpSuclBEhJSYPlO9zMjIz0YGenBydEKlSs7wtd/HI5GxqJ5U8WTmFWu6IhlK44gKysH2tq8vXxOZqb60NCQyk32lJCQAgtLI4XbWFoa4qWC61wQ+cnIyMbiBYcxf1E31AnI76JWzt0WN248wca1J1HjrS7NaWmZGNw/AvoGOpi/qDu0tBitIVJGg3qeqFzxzd8g2fv5m3txQkIqPNzt5LYH3r6fy98XCu7nZ8//gwcPE1C9tuwP3kNHrEe1qs7YGDEIPx+8iMdPErF941Bxnom5s7rAt/YERB7/G82aVFG+wl+YBvUro3KlN3OOvLm+ybC2fuvvdXwKPMo7KNyHmZnh/6+vbIQ1If7N9bW0MkZ2dg6Sk1/LRGcTElLkupT/888T9Oi5AB071MaggU1l1llZmaBUKVMYGb2Zh8TV1QaCICAuLhFOTpwI6t9O4fdaHZ0SKo3qMDL7iXr16oWoqKj3RmU/Vtu2baGlpYV58+bJrVuxYgXS0tLQuXNnhdv6+vqiTZs2GDNmTJGOVb9+fZw5cwZHjx5FvXr1xPS6desiKioKUVFRSo+XLaChkf+lNz298Ed5eHp6Iicnp1gHiL9LR0cHxsbGMsu/ffIiQwNdOJaxEhc3VxtYWRoj+uybKFpqagb+ir2PKpWdFO5DW0sTXp4OiD73Zpu8vDxEn7tZ6DYAACF/PETBH2RFrl1/DBNjfTZki4GWtibKe9rj3Nl/xLS8vDycP/cPKlUuo3CbSt6OOH9WdvjB2ehbqOSdnz8nJxc5ObmQSGXH2mhIJch7a+xzamoGBvZdDS0tTSxYEvyv/5wQqYP8+7mluLi5loKVpZHMvTk1NQN/XX6AKm/9iPk2bS1NeJW3V3A//0fcpl+v+ti/MxR7tw8XFwAYO7IFZk7JfxpARkY2pFLZcXfS/4/Dy+M8CJ/E0FAXjo7W4uLmZgsrK2NER795PFpqajr+ir2LKt6Kh3Voa2vCy6uMzDZ5eXmIPntd3KaClyO0tDRk8ty5E4cnT17C+6393rr1BN2Df0SrVjUwfHgruWNVreqK58+TkJb25nvY3XvPIJVKYGPDcdPqQPH3WsWNWUtLS2hoaODZM9lHQz179gw2NjYKt7GxsXlv/oJ/P2afnwO/cX6ivn37on379h+MAiYkJMiF1k1NTaGrqyuXt0yZMpgzZw5GjBgBXV1ddOvWDVpaWti3bx/GjRuHESNGyEyk9K4ZM2bAy8sLmpofvqwF42bXrFmDVatWiekBAQHo06cPAGDQoEFy22VmZsrVR1NTE5aWluLrlJQUxMXFQRAEPHz4EN999x2srKzg7+8PID8q3LlzZ1SrVg0WFha4evUqxo0bh/r168PYWH5iio/x/PlzuQaxhYVFoWOa1Z1EIkH3bnWxPPwIHB2t4GBvjoVLDsLa2kTmETnBvZfiq4aV0PWb/PExPbvXw+jxW1DBqzQqVSiD9ZtOID09C21a5b+/Hj6Mx8FDl1DL3wPm5oaIi0tCeMQx6OpoIaBOfrek36L+RkJ8CipXdoKOjiZ+P3MDK1cfQ6/gz/MjCMnrGlwHE8ftgKeXAypUdMCWjaeRnp6Nlq2rAQC+H7sd1tbGGDa8CQCgc9da6NtjJTasO4k6dT1w+Ne/cPXvx5gwuS2A/C9bPtVdsGDuQejqaMHWzgx/XriDA/svIvS75gDyv0wP6rsaGRnZmDGrE9JSM5GWmj8Gx8w8PypE/z46upooZfsmYm9lbYgyzmZITcnEy/jXJVgyKoxEIkH3LnWwfFXkm/v50kOwtjJGYIM3Y12D+67AVw0qoGvn2gCAnt0CMHrCNlTwcvj//fzU/+/n1QFAnGn+XXa2ZijtYAEA8K9ZDnN+PIApM39Ct861kZcnIHzNb9DQlMKvOmez/RwkEgm6d2+I5St+haOTNRzsLbFw0X5YW5siMNBbzBfc40d8FeiNrl3z/5b27BGI0WPWoUIFR1Sq5IT163/Lv75t8r9TGRnpoW3bWpg1exdMTAxgaKiL6dO3o4q3i9iYvXnzMYJ7LEDt2p7o2SMQL168AgBoaEhhbp5/n2jevDqWLT+IseM2YNjQ5khMTMMPc35C27b+0NX99B5zXxwh78N5istHzAGlra0NHx8fREZGolWrVgDyfyiJjIzEkCFDFG5Ts2ZNREZGIiQkREw7evQoatasCSC/d6SNjQ0iIyPh7e0NAEhOTsa5c+cwcODAT6lRkbAx+4nebcAV5t2B0gCwdetWdOrUSWH+kJAQuLi4YO7cuVi4cCFyc3Ph5eWF5cuXo2fPnu89Vrly5dCrVy+Eh4d/sFzOzs5wdHTE/fv3ERAQIKaXKVMGdnZ2uHfvnkzEtsChQ4fkJqhyd3fH9etvfhGcOHEiJk6cCACwsrJC9erVceTIEVhY5P/RDAoKwvr16zFu3Di8fv0adnZ2aN68ubiNMtzd3eXSoqOjUaNGDaX3/W/Vt1dDpKdnYeLk7UhOSYdPVResXtFfJnr28GE8EhPfdENr2qQqXiamYdGSX/EiPhnlPeyxekV/WP6/u6q2jhb+uHgH6zeeQHJyOiwsjFCtmiu2bvpW7KKqqamBzdtOY+acvYAgoEwZS4wZ1RId2tVUaf2/JEFNKiPxZRqWLzmChPgUuHvYYenKXmI347inSZC+FVnxruKEmXM6Y+miw1iy4BDKOFpi/uLucCv75hfSWT98g8ULfsW40duQ/Oo1bO3MMHhYENp3zP/MXL/6GJdj8x/v0qLJHJny/HJkNOzszYu72vQJnN0sMHZ6I/H1N73zf/A49dttrF50prDNqIT17Vk//34+dVf+/byKM1Yv6yt7P3+UgMSkNPF108beeJmYikXLDuNFfArKu9th9bI+sLRQPPxAEVdna6xY1AtLVhxBx+6LIZVI8v8uLOsr0+WZlNO3TyOkp2di4sTNSE5+DR8fN6xeNVT2+j54Ifv3umk1vHyZgkWLf8aLF8koX94Bq1cNlRkWNG5se0ilEgz7diWysnJQu7YnJk1805Pv8OGLePkyBfv3n8P+/W8ewWdvZ47ffsufxNPAQBdr1nyL6dO3oW27MJiaGqJJYx+EhLQozlNCJSg0NBTBwcGoVq0afH19sWDBAqSlpYntje7du8Pe3l4cd/vtt98iICAA8+bNQ7NmzbBt2zb88ccfYrtDIpEgJCQE06dPR9myZeHs7IwJEybAzs5ObDAXB4nA52gQvZH9a0mXgFTotUTxLH/03zSwHR8H9iVZv820pItAqqRT+NMi6D9I8i/tBZZ7tOSOrfHxEzMuWbIEP/zwA+Li4uDt7Y1FixaJvUDr1asHJycnrFu3Tsy/c+dOfP/997h37x7Kli2LOXPmoGnTN+OvBUHApEmTEB4ejqSkJNSuXRvLli1DuXLl3j30Z8PGLNHb2Jj9orAx+2VhY/bLwsbsF4aN2S8LG7PyPqEx+1/AwU5ERERERESkdjhmloiIiIiISFklOQHUF4qRWSIiIiIiIlI7jMwSEREREREpi5FZlWNkloiIiIiIiNQOI7NERERERETKymNkVtUYmSUiIiIiIiK1w8YsERERERERqR12MyYiIiIiIlIWJ4BSOUZmiYiIiIiISO0wMktERERERKQsRmZVjpFZIiIiIiIiUjtszBIREREREZHaYTdjIiIiIiIiZbGbscoxMktERERERERqh5FZIiIiIiIiZeUxMqtqjMwSERERERGR2mFkloiIiIiISFkcM6tyjMwSERERERGR2mFjloiIiIiIiNQOuxkTEREREREpi92MVY6RWSIiIiIiIlI7jMwSEREREREpi5FZlWNkloiIiIiIiNQOG7NERERERESkdtjNmIiIiIiISEmCkFtix5aU2JFLFiOzREREREREpHYYmSUiIiIiIlJWHieAUjVGZomIiIiIiEjtMDJLRERERESkLD6aR+UYmSUiIiIiIiK1w8YsERERERERqR12MyYiIiIiIlIWuxmrHCOzREREREREpHYYmSUiIiIiIlIWI7Mqx8gsERERERERqR02ZomIiIiIiEjtsJsxERERERGRstjNWOUYmSUiIiIiIiK1w8gsERERERGRsvIYmVU1RmaJiIiIiIhI7bAxS0RERERERGqH3YyJiIiIiIiUxQmgVI6RWSIiIiIiIlI7jMwSEREREREpi5FZlWNkloiIiIiIiNQOI7NERERERETKYmRW5RiZJSIiIiIiIrXDxiwRERERERGpHXYzJiIiIiIiUlYeuxmrGiOzREREREREpHYYmSUiIiIiIlIWJ4BSOUZmiYiIiIiISO2wMUtERERERERqh92MiYiIiIiIlMVuxirHxizRWzKlvAl9SXSkBiVdBFKh9ds0SroIpELBnZJKugikQtd89Uq6CKRC58eVdAno34KNWSIiIiIiImXx0TwqxzGzREREREREpHYYmSUiIiIiIlJWnlDSJfjiMDJLREREREREaoeNWSIiIiIiIlI77GZMRERERESkLE4ApXKMzBIREREREZHaYWSWiIiIiIhIWYzMqhwjs0RERERERKR22JglIiIiIiIitcPGLBERERERkbLyhJJbisnLly/RpUsXGBsbw9TUFL1790Zqaup78w8dOhTu7u7Q09NDmTJlMGzYMLx69Uomn0QikVu2bdv20eXjmFkiIiIiIiKS06VLFzx9+hRHjx5FdnY2evbsiX79+mHLli0K8z958gRPnjzB3Llz4enpifv372PAgAF48uQJdu3aJZN37dq1aNy4sfja1NT0o8vHxiwREREREZGy/mMTQF27dg2HDh3ChQsXUK1aNQDA4sWL0bRpU8ydOxd2dnZy21SoUAG7d+8WX7u6umLGjBno2rUrcnJyoKn5pvlpamoKGxsbpcrIbsZERERERERqLDMzE8nJyTJLZmamUvuMjo6Gqamp2JAFgMDAQEilUpw7d67I+3n16hWMjY1lGrIAMHjwYFhaWsLX1xdr1qyBIHx8d2k2ZomIiIiIiJSVl1diS1hYGExMTGSWsLAwpaoTFxcHa2trmTRNTU2Ym5sjLi6uSPuIj4/HtGnT0K9fP5n0qVOnYseOHTh69Cjatm2LQYMGYfHixR9dRnYzJiIiIiIiUmNjx45FaGioTJqOjo7CvGPGjMHs2bPfu79r164pXabk5GQ0a9YMnp6emDx5ssy6CRMmiP+vUqUK0tLS8MMPP2DYsGEfdQw2ZomIiIiIiNSYjo5OoY3Xd40YMQI9evR4bx4XFxfY2Njg+fPnMuk5OTl4+fLlB8e6pqSkoHHjxjAyMsKePXugpaX13vx+fn6YNm0aMjMzi1wPgI1ZIiIiIiIi5RXjI3I+JysrK1hZWX0wX82aNZGUlIQ///wTPj4+AIDffvsNeXl58PPzK3S75ORkBAUFQUdHB/v374euru4HjxUTEwMzM7OPasgCbMwSERERERHRO8qXL4/GjRujb9++WLFiBbKzszFkyBB06tRJnMn48ePHaNiwITZs2ABfX18kJyejUaNGeP36NTZt2iRORgXkN6I1NDTw888/49mzZ6hRowZ0dXVx9OhRzJw5EyNHjvzoMrIxS0REREREpKz/2KN5AGDz5s0YMmQIGjZsCKlUirZt22LRokXi+uzsbNy4cQOvX78GAFy8eFGc6djNzU1mX3fv3oWTkxO0tLSwdOlSDB8+HIIg4H/t3XdYU+fbB/BvwkamDAFBARHEjQNn655Va7Uq1IGCe9etv4p71jqrdTHcu1ptraMqLlRcoIKiVdyAIiJDdvL+4UtsJCAK5Jjk+7muXG3Oec7JHQLIfe7nuY+LiwuWLl2KQYMGfXJ8Iunn9EAmUlOZuX8JHQIpkbZYV+gQSIm0MjOEDoGUyMcrSegQSIlue9oKHQIpUdi01kKHoJD0+vSPDyolIo85gr22kHhrHiIiIiIiIlI5nGZMRERERERUXCrSAEqdsDJLREREREREKoeVWSIiIiIiouJSwwZQXzpWZomIiIiIiEjlsDJLRERERERUXKzMKh0rs0RERERERKRymMwSERERERGRyuE0YyIiIiIiomKSSoW7NY9IsFcWFiuzREREREREpHJYmSUiIiIiIiouNoBSOlZmiYiIiIiISOUwmSUiIiIiIiKVw2nGRERERERExcVpxkrHyiwRERERERGpHFZmiYiIiIiIiksi3K15NBUrs0RERERERKRyWJklIiIiIiIqLq6ZVTpWZomIiIiIiEjlMJklIiIiIiIilcNpxkRERERERMXFacZKx8osERERERERqRxWZomIiIiIiIqLt+ZROlZmiYiIiIiISOUwmSUiIiIiIiKVw2nGRERERERExcUGUErHyiwRERERERGpHFZmiYiIiIiIiouVWaVjZZaIiIiIiIhUDiuzRERERERExcVb8ygdK7NERERERESkcpjMEhERERERkcrhNGMiIiIiIqLiYgMopWNlloiIiIiIiFTOJyWz/fv3R9euXQvc7+joCJFIlO+xcOFCAMDDhw8hEolgbW2NlJQUuWNr166NmTNnym37999/4evriwoVKkBPTw/ly5dHq1atsG3bNuTk5BT4enmP/v37AwBEIhEOHDjwye8HAHJzc7Fs2TLUqFED+vr6MDc3R4cOHXD+/Hm5ccHBwQpj2LhxY4Hnzhtz8eJFue2ZmZmwsLCASCRCSEhIvvEfPnbu3AkACAkJgUgkgrm5OTIyMuTOefnyZdn4PHnj8x4GBgaoVq0a1q9fn+/rpOh127dvLxvz38/C0NAQNWrUUPjeN2zYgFq1asHIyAhmZmbw8PDAggULZPtnzpyJ2rVr5zsu73snPDy80Od5DwsLC7Rt2xbXr18v8OuvrnZuP4f2reegXu1J+KHXcty88ajQ8ceOhKPLNwtRr/YkdPt2Mc6ejso35sH9eIwaEYDGntPgWXcKvHsuQ+zz16X1FqgQ27edRuuW/qhdcyx69fwZN248LHT8kSPX8E2HOahdcyy+7TwPp09HyvZlZ+filyUH8G3neajrMQ7NvpqGKZM340V8ktw5oiKfwM93FRrUn4hGDSZhxvTtSEvLLIV3Rx+SSqVYsfoImraahZqeU9B/8Do8fPTyo8dt23keLTvMQ436U9Cj9wrcuPm4wPMPHL4BbrUm4J+Tt+T23bj1GD6D1qJe059Qv+l0+A1djzvRz0vkfVHJcqtqjbH/a4Hlgd2x6UBf1GngIHRI9Bm+r2uPA8Ob4OykFgj0qY+qtiaFjveq74A9QxrhzMQWODSyKX5s7Qpdrfd/2ns4mOGXHrXw16ivEDatNZq5WpX2WyCJRLiHhirxyuzs2bMRGxsr9xg1apTcmJSUFCxZsqTQ84SFhaFOnTq4ffs2Vq9ejVu3biEkJAQDBw7Eb7/9hsjISFy+fFn2Gvv27QMAREdHy7atWLGiWO9FKpXCy8sLs2fPxpgxY3D79m2EhITAwcEBzZs3z5cgm5iY5HvvvXv3LvQ1HBwcEBQUJLdt//79MDIyUjg+KCgo32t8mJAbGxtj//79ctsCAgJQoUIFhefM+5pFRUVhyJAhGDZsGE6cOCE3pn379vled8eOHXJj8j77W7duoU+fPhg0aBD+/vtv2f7AwECMHTsWo0ePRnh4OM6fP49JkyYhNTW10K/Rp/jnn38QGxuLo0ePIjU1FR06dEBSUlKJnf9Ld+Tv6/h50R8YOrwddu0dB7cqdhg6eD1evUpROD78egwmT9yK77p5Yve+8WjZqgbGjArCvXuxsjFPHifAp88qODlZIyB4OPbtn4DBQ9tAV4+rFJTt78NXsWjhfgwf0QF7f5+MKm7lMXjg6gI/3+vXHmDi+GB0+74R9u2fglata2HUyPW4d/ddQpKRkYWoqCcYOrwD9u6bjJWrBiEmJh4jhq+TneNFfBJ8fVehQgUr7Nw1Aes3jsC//8bhf1O3KOU9a7oNQaewZcc5zPypO3ZvHQ0DA134DduAzMzsAo85fCQcC5YcxIghbbB/51hUcbOD37ANCr9PNm09K3eRM0/a20wMGr4RdjZm2L11NLYHj0CZMnrwG7YB2dm5Jfoeqfj09LXxJOY1tqwLEzoU+kyt3cthbCtXbDz3AP0Cw3DvRQpWennA3FBH4fh2VcthRAsXbDz7AL3WX8Dcv6LQ2r0chjevJBujr6OFey9S8fPRO8p6G0RKV+LJrLGxMWxsbOQeZcqUkRszatQoLF26FC9evFB4DqlUiv79+8PV1RXnz59H586dUblyZVSuXBne3t44d+4catasCSsrK9lrlC1bFgBgbW0t22Zqalqs97J7927s3bsXmzdvxsCBA+Hk5IRatWph/fr16NKlCwYOHIi0tDTZeJFIlO+9GxgYFPoaPj4+2LlzJ9LT02XbAgMD4ePjo3C8mZlZvtfQ19fPd87AwEDZ8/T0dOzcubPAc+Z9zZycnDB69Gg4OTnh2rVrcmP09PTyva65ubncmLzP3tnZGZMnT0bZsmVx/Phx2f6DBw+iZ8+e8PPzg4uLC6pVqwZvb2/Mmzev0K/Rp7CwsICNjQ3q1auHJUuWID4+HpcuXSqx83/pNgefRvceDdG1mycqudhg+ozvYaCvgwO/K/4DZ9uWs2jStAoG+LWEc6VyGDm6A9yrlsfObedkY1atOIyvvnbHuAmd4V7VHg4VLNGiZXVYWBgr623R/wsOPokePRqjW/dGcHGxxYxZXtDX18Xv+y4oHL9lSwiaNnWHn19rVKpkg9FjOqFqVQds23YaAGBsbICAwFHo0KEOnJzLoVZtJ/w0vSciI5/g+fNEAEBIyC3oaGthun9PODmXQ40aFTFjZi8cOxaOR0WoENLnk0ql2LztLIYNao3WLaqjiqsdFs/1wouXyfmqqP8VtOU0enZrgO5dPeFSyQazfuoOfX0d7DtwWW7c7TvPELj5NObP6pnvHA9iXiDpzVuMHtEezo7WqOxigxFD2yLhVQqex3JWxpfmxrXn2Lc9HFcvPRE6FPpMP3hWwIHwZ/jzRixiEtKw8O87yMjJRedadgrH17A3w42nb3A0Kh6xbzJwKSYRx6LiUNXu/d++Fx68wtrT9xFyl7+rSX0JsmbW29sbLi4umD17tsL94eHhuH37NiZMmACxWHGIiq4kl7Tt27fD1dUVnTt3zrdv/PjxePXqlVyy9jnq1q0LR0dHWWX58ePHOHPmDPr27fvZ5+zbty/Onj2Lx4/fTSvbt28fHB0dUadOnUKPk0qlOHLkCB4/fowGDRp89utLJBLs27cPr1+/hq6urmy7jY0NLl68iEePCp/2WlLyLiRkZWUp5fWElp2Vg9tRT9Gwoatsm1gsRoNGrogIf6jwmIjwh2jQqLLctsZNqiAi4t14iUSCM6dvo6KjFYYOWodmTf3xQ6/lOPnPzdJ6G1SArKwcREU+QcPGbrJtYrEYjRq5ITw8RuEx4eExaNS4ity2Jk3cC/x+AICUlHSIRCKYmOT9/ORAR0dL7nexnv67n+trV+9/7tuhInj6LBEvE1LQuMH7n1FjYwPUqlEB1wtYPpCVnYPI28/Q+IPfA40bVpY7Jj09C+OnboP/tO9gZZl/KqOToxXMzAyxd/8lZGXnICMjG3v3h6GSszXK25nnG09En09bLEIVW2Ncfpgo2yYFcDkmETXKmyk85ubTJFSxMZZNRbYzM0DjSpYIvZ+ghIipQBKpcA8NVeLJ7OTJk2FkZCT3OHv2rNyYvHW069evx/37+f8Yunv3LgDAze39H20vXryQO+eaNWs+KS5vb+98cW3btq3QY+7evQt3d3eF+/K258UKAG/evJE7v42NTZFi8/X1lVVSg4OD0bFjR1hZKV7XoOh95CWteaytrdGhQwcEBwcDeFfp9fX1LfD17e3tYWRkBF1dXXzzzTeYMWMGvv76a7kxf/75Z77XnT9/vtyYvM9eT08P33//PczNzTFw4EDZ/hkzZsDMzAyOjo5wc3ND//79sXv3bkg+mOd/8+bNfK9VrVq1wr+IH0hKSsKcOXNgZGQET0/PTzpWVb1OSkNurgQWlvIVUwsLYyQkKJ6GmpCQkq/CamH5fnziq1S8fZuJgI0n0aRpFazbMAStWtfAj2OCceXyv6XzRkihpNepyM2VwDLf52WChIRkhcckJCTn+3wtLY0LHJ+ZmY2lS/5Ax2/qwsjoXTLboKEbEhKSERDwD7KycvDmzVss++UPAMDLl2+K+7aoEC///+cw38+ohVGBP9OvX///7wELow+Okf/cF/x8EB61HNG6RXWF5zEqo48tG4fh4F/XUMtzKjwaTcPZ83ewYfVAaGtrFedtEdEHzAx1oC0WIzFN/uJ7YloWLMroKjzmaFQ81p15gA396iF0ckscGN4E1x6/RnDoQyVETPTlKPFFbxMnTpQ1XspTvnz5fOPatWuHpk2bYvr06di+fftHz2thYSFr9tO8efNPrrYtW7YMrVu3lts2efJk5OYWvvZHKi36lQ5jY2O56bkFVZU/1KdPH0yZMgUPHjxAcHAwVq5cWeBYRe/Dzi7/FBRfX1+MGTMGffr0wYULF7Bnz558FxXynD17FsbGxsjMzERYWBhGjhyJsmXLYtiwYbIxLVq0wG+//SZ3XN7U7jx5n31sbCwmTpyI4cOHw8XFRbbf1tYWFy5cwK1bt3DmzBmEhobCx8cHGzduxJEjR2RfLzc3Nxw8eFDu3M+ePUPz5s0L/Lrkady4McRiMdLS0uDs7Ixdu3ahXLlyCsdmZmYiM/ODJjba2dDTU7w+RRNJ/v/7v0XLaujr0wwAUMW9PMLDH2L3rguoV9+lsMNJhWRn52Lc2ABIIcWMmb1k2ytXtsX8BX2xaNHvWL70IMRiMfr0bQYLS+Mi/46jojn41zXMmLNX9nzdr36l8jonQiJx8fK/2L/rxwLHZGRk438zd6NObUf8srA3JBIpAjeFYMjIAOzdPhb6+vw9SSSkOhXMMaCxIxYfuYNbz9/AwdwQ49q4wbeJEwLPK56tQ0qgwY2YhFLiyaylpaVcAlOYhQsXolGjRpg4caLc9sqV302pio6OhoeHBwBAS0tLdl5t7U8P28bGJl9cxsbGhTYHcnV1xe3btxXuy9vu6io/lauo7/2/LCws0KlTJ/j5+SEjIwMdOnTI1+05j6L3oUiHDh0wePBg+Pn5oXPnzrCwsChwrJOTE8zMzAAA1apVw6VLlzBv3jy5ZLZMmTIffd28z97FxQV79uxBjRo1UK9ePVStWlVuXPXq1VG9enUMHz4cQ4cOxVdffYXTp0+jRYsWAABdXd18r1XUz3zXrl2oWrUqLCwsZO+pIAsWLMCsWbPktv1vujemzyi8adeXytysDLS0xHj1QcXm1asUWFoqXt9qaWmcrynMq4T3483NykBbW4xKleRnGTg7W+P6Nf5jqUxm5kbQ0hIjId/nlQxLBdNEAcDS0iTf55uQkJJvfHZ2Lsb9GIDnz18jKHiUrCqbp1Pn+ujUuT4SEpJhYKAHkQjYFHwS9g4F/16hT9eyeVXUqjFO9jwrKwfAu59ha6v3n9mrV6mo4qZ4HZ25+f//Hngl31jv3e+Bd+e4GPYvHj95hfpNp8uNGTV+E+rVccKWgOE4dPganj1/jV1bRskuWixZ2BueTafjxKlb+KaDR/HfMBEBAJLeZiNHIkHZD6qwZcvo4lWa4uLN0GbOOHwrFn9EvGvod/9lGvR1tDCtozuCzsdAcyedkqYR9LK6p6cnunXrhilTpsht9/DwQJUqVbBkyZJ8U1CVycvLC/fu3cOhQ4fy7fvll19gYWGBNm3alMhr+fr6IiQkBP369YOWVvGncGlra6Nfv34ICQkpdIqxIlpaWnINqT6Hg4MDevXqhalTpxY6Li/R/W8jreK+bqVKlT6ayALA1KlT8ebNG7nHpCn5G6GoCh1dbbhXtceli/dk2yQSCS5dvIdatR0VHlOrtqPceAC4eOEuatVylJ2zWvUKeBgj36zt0cOXsOW6OaXS1dVG1WoOuHghWrZNIpHg4sW7qF3bSeExtWs7yY0HgAuhd+S+H/IS2UePXiIgaCTMzBV3UgfeJcdlyujh77+vQU9PB40/WI9LxWNURh8VK1jKHi6VysHK0hgXLr3/GU1NzUDEzcfwqFlR4Tl0dbRRzb283DESiQQXLv0rO2awbwsc3DMOB3b9KHsAwNQJXTB/1ruqfEZGNsRi+du5if//1meST5ixREQflyOR4k5sCuo7vp/xJgJQz7Esbj5LUniMnrYWPvxRzPvZVEJbGaIvxieXON+8eSOb7pvHwsICDg7v7mmWkpKCuLg4uf2GhoYwMVFcOZg3bx6qVasmV3kTiUQICgpCmzZt0KRJE0ydOhXu7u7Izs7GmTNn8PLlyxJJ+D7Gy8sLe/bsgY+PD37++We0atUKycnJWL16NQ4ePIg9e/bk69T8udq3b4+XL18W+HXKk5SUlO/ra2xsrDCOOXPmYOLEiYVWZYF365EzMjJk04y3bNmC77//Xm5MZmZmvtfV1taGpaVlgecdM2YMqlevjitXrqBevXoYNmwY7Ozs0LJlS9jb2yM2NhZz586FlZUVGjVqVGiMpUFPTw96enpy2zJzVXvqXL/+zfDT1B2oWt0BNWpUwNbNp5GenoWu371bNzxtynaUszbBmHGdAAC9+34FX5/V2BQUgq+buePvw9cReesJ/Gf1kJ2zv29zTBy3BXXqOcPT0wXnz93B6ZAoBAQPF+Q9arL+/Vti6pQtqF69AmrUdMTmTaeQnp6J77o1BABMmbwZ1tamGDf+WwBA377N4dNvOYICT6BZ82o4/NdV3Ip8jFmzvQG8S2THjtmI21FPsGbtUOTmSvHy5bt1laamhtDVffd7edvW0/DwcIahoS5CQ+9gyc8H8OO4b2FiYijAV0FziEQi9Ov9FX7bcAIVK1rBvnxZrFh9BNZWJmjd8v1aV59Ba9GmZXX08W4KABjQtxkmT9+J6tXsUbN6BWzaehbp6Vno1rU+AMDK0kRh0yc7W3M42L/796JxI1csXvYnZs3/HX29m0IikWJ94EloaYvRgMsLvjh6+tooZ/t+Bo6VtREqOJkjNSUTiQlvBYyMimp72GPM6FwVt2OTEfn8Dbw8K8BARwt/3nh3q7yZnavhRUoG1oS86zVz7t8EeHtWQHR8CiKfvYG9uSGGfF0JZ++9lPUCMtDRgr35+5k2dqYGqGxthOSMbMQn817hpUGay4t9yvbJyWxISIhs6m8ePz8/bNy4EQDg7+8Pf39/uf1DhgzB2rVrFZ7P1dUVvr6+WL9+vdz2hg0b4urVq5g/fz5GjBiBuLg4lClTBrVq1cKyZcs+udr4OUQiEXbv3o3ly5dj2bJlGD58OPT19dGoUSOEhISgSZMmJfpahSWGeQYMGJBv24IFC/JVt4F303WLcs68Rlva2tpwcHDAkCFDMHPmTLkxR44cga2tbb7j7twp+N5lVatWRdu2beHv74/Dhw+jdevWCAwMxG+//YZXr17B0tISjRo1wokTJz6acFPRtO/ggdeJqViz6ggSEpLhVqU8fls3WNYUKi72NcTi95dsa3s4YeHiPli18m+sXP4XKlS0wopVA1C58vvPulXrmpg+43sEbDiBRfP3w9HRGkuX90edus5Kf3+arkPHukhMTMWqVX8h4WUKqriXx7oNI2TTR2OfJ0L8n0vyHnWcsXhJf6xc/ieWLzuEio5WWPXrYFR2fTdF9UV8Ek6dfNeZulvXhXKvFbxpNDwbvFtGcfPmI/y66i+8fZsFZ+dymDnLG12+1YzGakIbNKAF0tOz4D97L5JT0lHXwwkb1wySW9v/5OkrvE56P7ulY/vaSHydipVrjuJlQgrc3eywcc3AfM3DClPJyRprV/ri17XH0KvfKohFIrhXKY+NawbJTXmmL4OTiwWmzm0re/6DXz0AwNmT97FxZahQYdEn+Od2PMwNdTD4a2dYlNHD3fgUjNl1XdYUqpyJvtysiMBzMZBKpRj6dSVYGesh6W02zv77Er+FvG+s6m5rgrV96sqe/9jm3e/0P288x+w/o5T0zohKl0j6KR2OiNRcZu5fQodASqQtVtwlktSTVmaG0CGQEvl4JQkdAinRbU/bjw8itRE2rfXHBwkgd5ePYK+t1WuTYK8tJLaiJCIiIiIiIpVT4t2MiYiIiIiINA7XzCodK7NERERERESkcpjMEhERERERkcrhNGMiIiIiIqJikko4zVjZWJklIiIiIiIilcPKLBERERERUXGxAZTSsTJLREREREREKofJLBEREREREakcTjMmIiIiIiIqrlyJ0BFoHFZmiYiIiIiISOWwMktERERERFRMvDWP8rEyS0RERERERCqHlVkiIiIiIqLi4q15lI6VWSIiIiIiIlI5TGaJiIiIiIhI5XCaMRERERERUXGxAZTSsTJLREREREREKoeVWSIiIiIiomKSsgGU0rEyS0RERERERCqHySwRERERERGpHCazRERERERExSWRCPcoJYmJiejduzdMTExgZmYGPz8/pKamFnpM8+bNIRKJ5B5Dhw6VG/P48WN88803MDQ0hLW1NSZOnIicnJxPjo9rZomIiIiIiCif3r17IzY2FsePH0d2djYGDBiAwYMHY/v27YUeN2jQIMyePVv23NDQUPb/ubm5+Oabb2BjY4PQ0FDExsaiX79+0NHRwfz58z8pPiazRERERERExaVmDaBu376NI0eO4PLly6hXrx4AYNWqVejYsSOWLFkCOzu7Ao81NDSEjY2Nwn3Hjh1DVFQU/vnnH5QrVw61a9fGnDlzMHnyZMycORO6urpFjpHTjImIiIiIiFRYZmYmkpOT5R6ZmZnFOueFCxdgZmYmS2QBoHXr1hCLxbh06VKhx27btg2WlpaoXr06pk6dirdv38qdt0aNGihXrpxsW7t27ZCcnIzIyMhPipHJLBERERERUTFJJVLBHgsWLICpqancY8GCBcV6P3FxcbC2tpbbpq2tjbJlyyIuLq7A43744Qds3boVp06dwtSpU7Flyxb06dNH7rz/TWQByJ4Xdl5FOM2YiIiIiIhIhU2dOhXjxo2T26anp6dw7JQpU7Bo0aJCz3f79u3PjmXw4MGy/69RowZsbW3RqlUr3L9/H5UqVfrs8yrCZJaIiIiIiEiF6enpFZi8fmj8+PHo379/oWOcnZ1hY2ODFy9eyG3PyclBYmJigethFWnQoAEA4N9//0WlSpVgY2ODsLAwuTHx8fEA8EnnBZjMEhERERERFZ+KNICysrKClZXVR8c1atQISUlJuHr1KurWrQsAOHnyJCQSiSxBLYrw8HAAgK2trey88+bNw4sXL2TTmI8fPw4TExNUrVr1k94L18wSERERERGRHHd3d7Rv3x6DBg1CWFgYzp8/j5EjR8LLy0vWyfjZs2eoUqWKrNJ6//59zJkzB1evXsXDhw9x8OBB9OvXD19//TVq1qwJAGjbti2qVq2Kvn37IiIiAkePHsVPP/2EESNGFLm6nIeVWSIiIiIiouJSkcrsp9i2bRtGjhyJVq1aQSwWo3v37li5cqVsf3Z2NqKjo2XdinV1dfHPP/9g+fLlSEtLg4ODA7p3746ffvpJdoyWlhb+/PNPDBs2DI0aNUKZMmXg4+Mjd1/aomIyS0RERERERPmULVsW27dvL3C/o6MjpNL3SbyDgwNOnz790fNWrFgRhw8fLnZ8nGZMREREREREKoeVWSIiIiIiomKSStRvmvGXjpVZIiIiIiIiUjmszBIRERERERVXrkToCDQOK7NERERERESkcliZJSIiIiIiKiaumVU+VmaJiIiIiIhI5TCZJSIiIiIiIpXDacZERERERETFlctpxsrGyiwRERERERGpHFZmiYiIiIiIiosNoJSOlVkiIiIiIiJSOUxmiYiIiIiISOVwmjEREREREVExSdkASulYmSUiIiIiIiKVw8osERERERFRcbEBlNKxMktEREREREQqh5VZIiIiIiKi4sqVCB2BxmFlloiIiIiIiFQOk1kiIiIiIiJSOZxmTEREREREVExSNoBSOlZmiYiIiIiISOWwMktERERERFRcuazMKhsrs0RERERERKRyWJkl+o+Q56+EDoGUKCJRS+gQSIkm1bQTOgRSotueBkKHQErkHhYrdAhEJAAms0RERERERMUk5W1mlY7TjImIiIiIiEjlsDJLRERERERUTFKJSOgQNA4rs0RERERERKRyWJklIiIiIiIqJgnXzCodK7NERERERESkcpjMEhERERERkcrhNGMiIiIiIqJikkrZAErZWJklIiIiIiIilcPKLBERERERUTFJ2QBK6ViZJSIiIiIiIpXDZJaIiIiIiIhUDqcZExERERERFZNUwgZQysbKLBEREREREakcVmaJiIiIiIiKScIGUErHyiwRERERERGpHCazREREREREpHI4zZiIiIiIiKiY2ABK+ViZJSIiIiIiIpXDyiwREREREVExSdkASulYmSUiIiIiIiKVw8osERERERFRMUmlXDOrbKzMEhERERERkcphMktEREREREQqh9OMiYiIiIiIiokNoJSPlVkiIiIiIiJSOazMEhERERERFZNEwgZQysbKLBEREREREakcJrNERERERESkcjjNmIiIiIiIqJjYAEr5WJklIiIiIiIilcPKLBERERERUTFJ2QBK6ViZJSIiIiIiIpXDyiwREREREVExcc2s8rEyS0RERERERCqHySwRERERERGpHE4zJiIiIiIiKiaplA2glI2VWSIiIiIiIlI5rMwSEREREREVk4QNoJSOlVkiIiIiIiJSOUxmiYiIiIiISOUwmSUiIiIiIiomqUS4R2lJTExE7969YWJiAjMzM/j5+SE1NbXA8Q8fPoRIJFL42LNnj2ycov07d+785Pi4ZpaIiIiIiIjy6d27N2JjY3H8+HFkZ2djwIABGDx4MLZv365wvIODA2JjY+W2rV+/Hj///DM6dOggtz0oKAjt27eXPTczM/vk+JjMEhERERERFZNUol635rl9+zaOHDmCy5cvo169egCAVatWoWPHjliyZAns7OzyHaOlpQUbGxu5bfv370fPnj1hZGQkt93MzCzf2E/FacZEREREREQqLDMzE8nJyXKPzMzMYp3zwoULMDMzkyWyANC6dWuIxWJcunSpSOe4evUqwsPD4efnl2/fiBEjYGlpCU9PTwQGBkIqlX5yjExmiYiIiIiIiknINbMLFiyAqamp3GPBggXFej9xcXGwtraW26atrY2yZcsiLi6uSOcICAiAu7s7GjduLLd99uzZ2L17N44fP47u3btj+PDhWLVq1SfHyGnGREREREREKmzq1KkYN26c3DY9PT2FY6dMmYJFixYVer7bt28XO6b09HRs374d06dPz7fvv9s8PDyQlpaGn3/+GaNHj/6k12AyS0REREREpML09PQKTF4/NH78ePTv37/QMc7OzrCxscGLFy/ktufk5CAxMbFIa1337t2Lt2/fol+/fh8d26BBA8yZMweZmZlFfh8Ak1kiIiIiIqJik6hIAygrKytYWVl9dFyjRo2QlJSEq1evom7dugCAkydPQiKRoEGDBh89PiAgAF26dCnSa4WHh8Pc3PyTElmAySwRERERERF9wN3dHe3bt8egQYOwdu1aZGdnY+TIkfDy8pJ1Mn727BlatWqFzZs3w9PTU3bsv//+izNnzuDw4cP5znvo0CHEx8ejYcOG0NfXx/HjxzF//nxMmDDhk2NkMktERERERFRMUonQEZS8bdu2YeTIkWjVqhXEYjG6d++OlStXyvZnZ2cjOjoab9++lTsuMDAQ9vb2aNu2bb5z6ujoYPXq1fjxxx8hlUrh4uKCpUuXYtCgQZ8cn0j6OT2QidTU0SebhQ6BlCgiUUvoEEiJJtXMfz88Ul+eC3KFDoGUyD0sVugQSIk2HegrdAgK3W3TRbDXdj1+ULDXFhJvzUNEREREREQqh9OMiYiIiIiIikkqVY0GUOqElVkiIiIiIiJSOSWezEqlUrRu3Rrt2rXLt2/NmjUwMzPD1q1bIRKJFD7i4uLkjnn69Cl0dXVRvXp1ha/332NNTExQv359/PHHH3JjgoODYWZmJrfNz88PNWrUQFZWltz2w4cPQ1dXF9euXSv0fe7YsQNaWloYMWJEvn0hISEQiUQwNzdHRkaG3L7Lly/L4v2v3NxcLFu2DDVq1IC+vj7Mzc3RoUMHnD9/Xm7czJkzUbt27Xyv+fDhQ4hEIoSHh8vFUK1aNeTmyq8bMjMzQ3BwsGxMYY+QkBCF7//06dNo2bIlypYtC0NDQ1SuXBk+Pj6yr+eH5y5Xrhy6d++OBw8eyM7h6Oio8DUXLlwo956sra2RkpIi9/q1a9fGzJkzZWMKewQHByt8D+rqzB9XMLP3rxjXYSF+GRmER3eeFTg24uwd/Dw8AJO/XYIJnRZj0ZANCDt+M9+4uEcJWD99NyZ1eTduyfBAJMa/Kc23QcUQdeQydo1YgeDe83Bw2ka8/Lfg74G7IeEI6Dlb7hHce54So6X/kkqlWLHyIJp+NQk1a41C/wHL8fBh/EeP27YtBC1bTkONmiPRo+dC3LgRI7c/MzMbs2bvQIMG4+FRZwxGjVqHhIRk2f47d55i3LiNaNZ8KmrWGoUOHWdi0+YT+V4nKysby5YdQIuW01C9xki0bDkNe/edzzeOSsb3de1xYHgTnJ3UAoE+9VHV1qTQ8V71HbBnSCOcmdgCh0Y2xY+tXaGr9f5PPQ8HM/zSoxb+GvUVwqa1RjPXj98ug748blWtMfZ/LbA8sDs2HeiLOg0chA6J/p9UItxDU5V4MisSiRAUFIRLly5h3bp1su0xMTGYNGkSVq1aBXt7ewBAdHQ0YmNj5R7W1tZy5wsODkbPnj2RnJyMS5cuKXzNoKAgxMbG4sqVK2jSpAm+//573LyZ/w/y/1q2bBlSUlIwY8YM2bakpCQMGjQI06dPR506dQo9PiAgAJMmTcKOHTvyJax5jI2NsX///nzHVahQQW6bVCqFl5cXZs+ejTFjxuD27dsICQmBg4MDmjdvjgMHDhQaS2EePHiAzZsVNzVq3Lix3Ne+Z8+eaN++vdy2xo0b5zsuKioK7du3R7169XDmzBncvHkTq1atgq6ubr7EOTo6Gs+fP8eePXsQGRmJzp07y42ZPXt2vu+BUaNGyZ0jJSUFS5YsUfgeHBwc5I4dP348qlWrJretV69en/plU1nXTkVh/9p/0L7vV5i41g/lna2xZspOpLxOUzje0NgAbX9ogh9X9sfk9YPQoF0tbP/5EG5fvi8b8/L5aywfuxnlHCww6pc+mLx+ENr1aQodXa5S+BI9CI3Epc3H4PF9M3y7aDDKVrTBkXnbkP5G8fcAAOgY6MF7/TjZo9fqMUqMmP5rw8Zj2LLlFGbO/AG7d0+GgYEu/AauQmZmdoHHHD58BQsW7sWIEZ2w//dpqOJmD7+Bq/Dq1ftkdf6CPTh16gaWrxiELZvH4cWLJIwctVa2/1bkI5S1MMbPiwfgrz/9MXRoByxdegBbt56Se60xYzfgwsVozJvbF0f+nolffhkIJ6dyJf+FILR2L4exrVyx8dwD9AsMw70XKVjp5QFzQx2F49tVLYcRLVyw8ewD9Fp/AXP/ikJr93IY3rySbIy+jhbuvUjFz0fvKOttUCnQ09fGk5jX2LIuTOhQiARXKtOMHRwcsGLFCkyYMAExMTGQSqXw8/ND27Zt0bfv++5j1tbWsLGxkXuIxe9DkkqlCAoKQt++ffHDDz8gICBA4euZmZnBxsYGrq6umDNnDnJycnDq1CmFY/OYmJggKCgIv/zyiyxJHjt2LMqXL4+pU6cWemxMTAxCQ0MxZcoUuLq64vfff1c4zsfHB4GBgbLn6enp2LlzJ3x8fOTG7d69G3v37sXmzZsxcOBAODk5oVatWli/fj26dOmCgQMHIi2t4D9ECzNq1CjMmDEDmZmZ+fbp6urKfe0NDAygp6cnt01XVzffcceOHYONjQ0WL16M6tWro1KlSmjfvj02bNgAAwMDubHW1tawtbXF119/DX9/f0RFReHff/+V7Tc2Ns73PVCmTJl872Hp0qV48eJFvli0tLTkjjUyMoK2tna+96UpTu27hMYda6Nh+1qwrWiFnmM7QldPGxePRCgcX7l2RdRqWgU2FS1hZWeO5t08YedsjQe3nsjG/BUYgqoNKuHbwa3gUNkGVnbmqNHYFcbmZRSek4R1688LcGtVB64tasPc3gpNBn0DbV0d3D11vcBjRCLA0MxI9jAwM1JixJRHKpVi8+YTGDa0A1q3qo0qbvZYvGgAXrxIwj//hBd4XFDwP+jZowm6d28MFxc7zJr1A/T1dbBvXygAICUlHfv2nceUyd+jUcMqqF69IuYv8MH16w8QHv5utsz33Zvgp//1gqenKxwcrPBtlwbo1q0xjh1//7pnzkbi8uV7WL9uJBo3doe9vSU8PJxRt45LaX5ZNNYPnhVwIPwZ/rwRi5iENCz8+w4ycnLRuZbirtw17M1w4+kbHI2KR+ybDFyKScSxqDhUtTOVjbnw4BXWnr6PkLsvlfU2qBTcuPYc+7aH4+qlJx8fTEollYgEe2iqUlsz6+Pjg1atWsHX1xe//vorbt26JVepLYpTp07h7du3aN26Nfr06YOdO3cWmtTl5OTIEl5FSdiHWrRogeHDh8PHxwd79uzB7t27sXnzZmhrF15xCgoKwjfffANTU1P06dOnwCS7b9++OHv2LB4/fgwA2LdvHxwdHfNVfbdv3w5XV1d07tw53znGjx+PV69e4fjx4x99P4qMHTsWOTk5WLVq1Wcdr4iNjQ1iY2Nx5syZTzouL6n8cGr3x3h7e8PFxQWzZ8/+pOM0TU52Lp7cjYVbHSfZNrFYBLc6ToiJevrR46VSKaKvxeDF00RUqvlu9oBEIkXkpX9hbV8WaybvwLTvl+GXkUG4cT661N4Hfb7cnFwkPIiFXY333wMisQh2NZzw4m7B3wPZGVnYOXwFdg5bjuOLd+L1k/wXjqj0PX2agJcvk9G4sbtsm7GxAWrVdML18AcKj8nKykFk5GO5Y8RiMRo3cpcdcyvyEbKzc+XGVHK2gZ1dWVkyq0hKSjrMTA1lz0+ejED16hWxMeAYvvp6Mtq188eiRXuRkfFpv9Pp47TFIlSxNcblh4mybVIAl2MSUaO8mcJjbj5NQhUbY9lUZDszAzSuZInQ+wlKiJiISBil2gBq/fr1uHXrFsaOHYv169fDykp+bYa9vT2MjIxkj2rVqsntDwgIgJeXF7S0tFC9enU4Oztjz549+V7H29sbRkZG0NPTw48//ghHR0f07NmzSDEuWLAAAODl5YX58+ejSpUqhY6XSCQIDg5Gnz59ZMedO3cOMTEx+cZaW1ujQ4cOsjWbgYGB8PX1zTfu7t27cHd3z7cdgGz73bt3i/R+PmRoaIgZM2ZgwYIFePOmZNY49ujRA97e3mjWrBlsbW3x3Xff4ddff0VycnKBx8TGxmLJkiUoX7483NzcZNsnT54s9z1gZGSEs2fPyh2bt452/fr1uH///oenpv+X9uYtJBJpvoqpsXmZAqcZA0B6agYmdFqMH9svxLr/7UL3EW1Rpa4zACA1KQ2Z6Vn4Z+cFuNd3xvCF3qjZxA0BM/fiXsSjUn0/9Okykt9CKpHCwEz+e8DArAzSk1IVHmNqZ4GvhnVBm0m90GxUV0glUhz6KQhprwr+eabS8fLlu6+5hYX8ukgLS2O59a3/9fp1KnJzJYUek/AyGTo62jAxMZQfY2GMlwWc99q1+/j77yvo2fMr2bYnTxJw9eq/uHf3OVb/OhTTpvXA0aPXMGvWjk97o/RRZoY60BaLkZgmf6EgMS0LFmUUX6w/GhWPdWceYEO/egid3BIHhjfBtcevERz6UAkRExEJo1STWWtrawwZMgTu7u7o2rVrvv1nz55FeHi47HH48GHZvqSkJPz++++ypBFAgVXQZcuWITw8HH///TeqVq2KjRs3omzZskWK0cDAABMmTIChoSHGjPn4OrHjx48jLS0NHTt2BABYWlqiTZs2ctOJ/8vX1xfBwcF48OABLly4gN69eyscJ5VKixTv5/Dz84OFhQUWLVpUIufT0tJCUFAQnj59isWLF6N8+fKYP3++bK3qf9nb26NMmTKws7NDWloa9u3bJ1c1nzhxotz3QHh4OOrVq5fvNdu1a4emTZti+vTpJfIeACAzMxPJyclyj6xC1qWpKz1DPUxeNxATVg9AJ9/mOLD2H9wLf5eoSiXvvi9rNHJFi+8bwN7FBm28G6Naw8o4/2fhTdJINZRzdUDlZrVg4WgD26qOaD2hJ/RNDHHn+FWhQ1N7Bw9dgkedMbJHTk7uxw9Sgrt3n2H4iN8wYkQnNG1aVbZdKpFCJBJhyRJf1KzphGbNamDKlB7Yf+Aiq7NfgDoVzDGgsSMWH7mDvoGXMGlvBJpUsoRvE6ePH0xEJUIiEe6hqUq9g4u2tnaB03adnJzydRnOs337dmRkZKBBgwaybVKpFBKJBHfv3oWrq6tsu42NDVxcXODi4oKgoCB07NgRUVFR+ZpJFRajlpZWvg7DigQEBCAxMVFuHaZEIsGNGzcwa9YsuTW/ANChQwcMHjwYfn5+6Ny5MywsLPKd09XVFbdv31b4ennb896viYmJwgprUlISAMDU1DTfPm1tbcybNw/9+/fHyJEjP/oei6p8+fLo27cv+vbtizlz5sDV1RVr167FrFmzZGPOnj0LExMTWFtbw9jYON85LC0t4eJStPVWCxcuRKNGjTBx4sQSiX/BggVysQJA77Fd0XfcdyVyfmUrY2oIsViUrwqb8jqt0PWtYrEIVuXfXfyxd7FB3OMEHN8Risq1K747p5YYNhUt5Y4pV8FSbl0tfRn0TQwhEouQniT/PZCelFbkdbBibS1YONkgOS7x44OpWFq2qIVaNd8nGllZOQCAV6+SYW39/nf5q4QUVHG3V3gOc3MjaGmJ5Zo95R1jafmuWmtpZYLs7BwkJ7+Vq86+epUCK0v5iu6//z5H/wHL0atnUwwf1lFun5WVKcqVM4Ox8ft//ypVsoFUKkVc3Gs4OrIRVElJepuNHIkEZT+owpYto4tXaYovHAxt5ozDt2LxR8RzAMD9l2nQ19HCtI7uCDofg9K7ZE5EJJwv9j6zAQEBGD9+vFzFLiIiAl999VWBVVAA8PT0RN26dTFvXsnfWuLVq1f4448/sHPnTrm4rl+/jtevX+PYsWP5jtHW1ka/fv0QEhKicIox8G6q8r1793Do0KF8+3755RdYWFigTZs2AAA3Nzc8ffoU8fHyt2q4du0a9PX183VKztOjRw9Uq1YtX/JWUszNzWFra5tvTbOTkxMqVaqkMJH9VJ6enujWrRumTJlS7HMBwNSpU/HmzRu5R68RnUrk3ELQ1tGCg6st7l57KNsmkUgRff0hnKoq/kNYEalEipzsHNk5K7jZIv7pK7kxL5++Qlnr/BdOSFha2lqwdLZF7K33yx6kEime34qBtWvRvgckEgleP34BA3M2gSptRkb6qFjRWvZwcbGFlZUJLlx432k2NTUdETdi4FHbWeE5dHW1Ua1aBbljJBIJLly8IzumerWK0NHRkhvz4EEcnj9PRO3/nPfevefo57MMXbs2xI8/ds33WnXqVMKLF0lIS3vfwT/mYTzEYhFsbMw/++tA+eVIpLgTm4L6ju9nmYkA1HMsi5vPkhQeo6ethQ8neUn+f0MRrtUTUQmQ5EoFe2gqQe+t8eLFi3y3tbGwsEBkZCSuXbuGbdu25VvD6u3tjdmzZ2Pu3LkFVnzHjh2L7777DpMmTUL58uUBvLuPa949WPPo6ekVuFZVkS1btsDCwgI9e/bMV8Xt2LEjAgIC0L59+3zHzZkzBxMnTlRYlQXeJbN79uyBj48Pfv75Z7Rq1QrJyclYvXo1Dh48iD179sg6/LZr1w5ubm7w9vbG3LlzYWNjg2vXruGnn37CmDFjoKWlVWD8CxcuVHj/30+1bt06hIeH47vvvkOlSpWQkZGBzZs3IzIy8pMbTaWkpOS7t7ChoSFMTBTfS2/evHmoVq3aR5t0FYWenh709PTktum+UXzLA1XRonsDbF18EA5utqjoZoeQ38OQlZGNBu1rAgC2LDwIU0tjdBnYAgBwbPt5VHCzhaWtOXKycxEV9i8u/3MLPce8/z5u1bMhgufuh0uNCqhcuyJuX76PWxfuYdQvfRXGQMKq3qkRzqw+AEtnO1i52OHW4UvIycyGa/PaAIDTvx6AYVlj1P+hFQDg+t7TsKpsDxObsshKy8DNg6FIffkGbq0Kvz0ZlTyRSIR+/Vrht7V/o6KjNezLW2LFyoOwtjZD69a1ZeN8+i9Dm9a10afPu5/jAf1bY/KUYFSvXhE1azpi06aTSE/PQrdu726tZmxsgO7dm2Dhor0wNS0DIyN9zJ27Cx61nWXJ7N27z+DTfzmaNq2KAf1b4+XLdzOAtLTEKFv23cXITp3qY81vhzF12maMHtUJr1+n4efFv6N798bQ1/9400X6NNvDHmNG56q4HZuMyOdv4OVZAQY6WvjzxrvlPDM7V8OLlAysCXnXS+Lcvwnw9qyA6PgURD57A3tzQwz5uhLO3nuJ/18xAgMdLdibv6+s25kaoLK1EZIzshGfnP+uB/Rl0tPXRjnb90UCK2sjVHAyR2pKJhIT3goYGZHyCZrM/rcRUJ4LFy5g27ZtqFq1qsJmTN999x1GjhyJw4cPo0uXLgrP2759ezg5OWHevHlYs2YNACA1NRUeHh5y4ypVqiR3m5iPCQwMxHfffadwOnL37t3Rt29fJCTk7xqoq6sLS0vLfNvziEQi7N69G8uXL8eyZcswfPhw6Ovro1GjRggJCUGTJk1kY7W1tXHs2DFMmzYN3t7eePnyJZycnDBmzBiMGzeu0PhbtmyJli1bKqwgfwpPT0+cO3cOQ4cOxfPnz2XNuw4cOIBmzZp90rn8/f3h7+8vt23IkCFYu3atwvGurq7w9fXF+vXrPzt+dVanRVWkvknD4eDTSH6dBvtK5TBsgRdM/r/K9vrFG4jE779/szKysWflESS9TIGOnjasHSzQb8q3qNPi/Tq5Wk2roOeYDvhnZyj2rT4Ga4ey8J3RHZVq8CbtXyLnxtWQkZyGq7tDkJ6UCgvHcmg37QfZNOPUhDdyv8MyUzNwbt2fSE9KhV4ZfVg426LT3AEwt7cq6CWoFA0a2Bbp6Znw99+G5OS3qFvXBRs3jIKe3vsLbU8ev8Tr1+8benXsWA+JiSlYueoQXr5Mhru7PTZuGCWbZgwA06b2gFgswugx65CVlYOmTatihr+3bP/Ro9eQmJiCgwcv4eDB9/d0L29XFidPzgcAlCmjj8DAMZg7dye6f78AZmZG6NC+LsaOVfxvMRXPP7fjYW6og8FfO8OijB7uxqdgzK7rsqZQ5Uz0ZZVXAAg89+5WiEO/rgQrYz0kvc3G2X9f4reQ940T3W1NsLZPXdnzH9u8W8L0543nmP1nlJLeGRWXk4sFps5tK3v+g9+7XiNnT97HxpWhQoVFJAiRtDQ7DxGpmKNPNgsdAilRRGLBMxlI/Uyqqfj+nKSePBd8GQ21SDncw2I/PojUxqYDX+bssIhG3wr22rUu/CHYawvpi10zS0RERERERFQQQacZExERERERqYNcCSe8Khsrs0RERERERKRyWJklIiIiIiIqJgmX6isdK7NERERERESkcpjMEhERERERkcrhNGMiIiIiIqJikrABlNKxMktEREREREQqh5VZIiIiIiKiYmIDKOVjZZaIiIiIiIhUDpNZIiIiIiIiUjmcZkxERERERFRMbAClfKzMEhERERERkcphZZaIiIiIiKiYJBKhI9A8rMwSERERERGRymFlloiIiIiIqJgkuVwzq2yszBIREREREZHKYTJLREREREREKofTjImIiIiIiIoplw2glI6VWSIiIiIiIlI5rMwSEREREREVExtAKR8rs0RERERERKRymMwSERERERGRyuE0YyIiIiIiomKSsAGU0rEyS0RERERERCqHlVkiIiIiIqJikkjYAErZWJklIiIiIiIilcNkloiIiIiIiFQOpxkTEREREREVkyRX6Ag0DyuzREREREREpHJYmSUiIiIiIiomNoBSPlZmiYiIiIiISOWwMktERERERFRMuRKhI9A8rMwSERERERGRymEyS0RERERERCqH04yJiIiIiIiKSZLLBlDKxsosERERERERqRxWZomIiIiIiIpJwgZQSsfKLBEREREREakcJrNERERERESkcjjNmIiIiIiIqJjYAEr5WJklIiIiIiIilcPKLBERERERUTGxAZTysTJLREREREREKoeVWSIiIiIiomKSSLhmVtlYmSUiIiIiIiKVw2SWiIiIiIiIVA6nGRMRERERERVTbq7QEWgeVmaJiIiIiIhI5bAyS0REREREVExsAKV8rMwSERERERGRymEyS0RERERERCqHySwREREREVExSXKFe5SWefPmoXHjxjA0NISZmVmRjpFKpfD394etrS0MDAzQunVr3Lt3T25MYmIievfuDRMTE5iZmcHPzw+pqamfHB+TWSIiIiIiIsonKysLPXr0wLBhw4p8zOLFi7Fy5UqsXbsWly5dQpkyZdCuXTtkZGTIxvTu3RuRkZE4fvw4/vzzT5w5cwaDBw/+5PjYAIqIiIiIiKiY1LEB1KxZswAAwcHBRRovlUqxfPly/PTTT/j2228BAJs3b0a5cuVw4MABeHl54fbt2zhy5AguX76MevXqAQBWrVqFjh07YsmSJbCzsytyfKzMEhERERERqbDMzEwkJyfLPTIzM5UeR0xMDOLi4tC6dWvZNlNTUzRo0AAXLlwAAFy4cAFmZmayRBYAWrduDbFYjEuXLn3S67EyS/Qf7Rz6CR2C0mVmZmLBggWYOnUq9PT0hA5Hqdo5CB2B8mny562JNPnzDpsmdATKp8mftybi5/3lGSA5Idhrz5w5U1ZFzTNjxgzMnDlTqXHExcUBAMqVKye3vVy5crJ9cXFxsLa2ltuvra2NsmXLysYUFSuzRBouMzMTs2bNEuTqHSkfP2/Nws9bs/Dz1iz8vOm/pk6dijdv3sg9pk6dqnDslClTIBKJCn3cuXNHye/g87AyS0REREREpML09PSKXKEfP348+vfvX+gYZ2fnz4rDxsYGABAfHw9bW1vZ9vj4eNSuXVs25sWLF3LH5eTkIDExUXZ8UTGZJSIiIiIi0hBWVlawsrIqlXM7OTnBxsYGJ06ckCWvycnJuHTpkqwjcqNGjZCUlISrV6+ibt26AICTJ09CIpGgQYMGn/R6nGZMRERERERE+Tx+/Bjh4eF4/PgxcnNzER4ejvDwcLl7wlapUgX79+8HAIhEIowdOxZz587FwYMHcfPmTfTr1w92dnbo2rUrAMDd3R3t27fHoEGDEBYWhvPnz2PkyJHw8vL6pE7GACuzRBpPT08PM2bMYPMIDcHPW7Pw89Ys/Lw1Cz9vUgZ/f39s2rRJ9tzDwwMAcOrUKTRv3hwAEB0djTdv3sjGTJo0CWlpaRg8eDCSkpLQtGlTHDlyBPr6+rIx27Ztw8iRI9GqVSuIxWJ0794dK1eu/OT4RFKpVP1uiERERERERERqjdOMiYiIiIiISOUwmSUiIiIiIiKVw2SWiIiIiIiIVA6TWSIiIiIiIlI5TGaJiIiIVExycjKOHz+Ov/76Cy9fvhQ6HCpFmzdvRmZmptBhEH2RmMwSEamhtLQ0DBs2DOXLl4eVlRW8vLz4B68ae/HiRaH7c3JyEBYWpqRoqLSFh4ejSpUqaN++PTp37gwXFxccPXpU6LColAwYMEDutidE9B5vzUOkIczNzSESiT46LjExUQnRUGkbN24c1q9fj969e8PAwADbt29HkyZNZDc1J/WipaWF2NhYWFtbAwBq1KiBw4cPw8HBAQAQHx8POzs75ObmChkmlZB27dohNTUVS5Ysgb6+PubMmYObN2/i3r17QodGpUAsFiMuLk72801E72kLHQARKcfy5ctl/y+VSjFs2DDMnj2b/ziqqf379yMoKAg9evQAAPTt2xcNGzZETk4OtLX5q1/dfHhd+uHDh8jOzi50DKmuq1ev4tixY6hTpw4AIDAwEGXLlkVycjJMTEwEjo5KQ1EuRhNpIlZmiTSUsbExIiIi4OzsLHQoVAp0dHTw6NEj2NnZybYZGhrizp07qFChgoCRUWn4sHLz4c83K7PqRVGlztjYGDdu3ICTk5OAkVFpEIvFqF69+kcvRF67dk1JERF9OXh5nohIDUkkEujo6Mht09bWZjJDpCaioqIQFxcney6VSnH79m2kpKTIttWsWVOI0KgUtGvXDkZGRkKHQfTFYTJLRKSGpFIpWrVqJXcl/+3bt+jcuTN0dXVl23glXz2IRCKkpKRAX18fUqkUIpEIqampSE5OBgDZf0l9tGrVKt/U8U6dOkEkEsm+B3jxSn1MnDiRy4KIFGAyS0SkhmbMmJFv27fffitAJKQMUqkUrq6ucs89PDzknnPNnfqIiYkROgRSIv7sEhWMySyRhhg3bpzc86ysLMybNw+mpqZy25cuXarMsKiUKEpmSX2dOnVK6BBIiSpWrCh0CKREbG9DVDAms0Qa4tq1a3JXdxs3bowHDx7IjeHVX/Vy8eJFHDp0CFlZWWjVqhXat28vdEhUSh49eoRevXpBT09P6FBICW7cuFGkcVwzqx5iYmJgZWUldBhEXyR2MyYiUkN79+5Fr169YGBgAB0dHSQnJ2PRokWYMGGC0KFRKfjwPrOk3sRisWxtbEG4ZlZ9zJ49u0jj/P39SzkSoi8Pk1kiDeHs7IzLly/DwsJC6FBICerWrYv69etj9erV0NLSwoIFC/Dzzz8jMTFR6NCoFCi6VQupr0ePHhVpHKcjq4f/rn//kEgkQnR0NDIyMnjxgjQSk1kiDcE/djWLkZERwsPD4eLiAuDdGukyZcrg2bNn/B5QQ2KxGPHx8ZyKSKRBwsPDMWXKFJw8eRK+vr5Yu3at0CERKR3XzBIRqaG3b9/CxMRE9lxXVxf6+vpITU1lMqumPrwVkyK8FZN64JpZzRYTE4Pp06dj165d6NatGyIjI1G5cmWhwyISBJNZIg1y9OjRfN2LP9SlSxclRUOlbePGjTAyMpI9z8nJQXBwMCwtLWXbRo8eLURoVAratWsn93mT+qpdu7bcmtm85n3/nWzHNbPqJyEhAbNmzcL69evRtGlThIaGon79+kKHRSQoTjMm0hBisfijY/jHj/pwdHT8aHdqkUiUr6M1qSYuI9As/10zK5VKUb16dRw+fDjfGlmumVUPaWlpWLJkCZYuXQoXFxcsWLAAbdu2FTosoi8Ck1kiDcE/donUF7sZazZjY2NERETA2dlZ6FCoFNjY2CAlJQWjRo2Ct7d3gRcqOa2cNBGTWSINwT926b+SkpKwdetWjBw5UuhQqATwYpVmYzKr3v47s+rDWzLlPefMKtJUXDNLpCF43YoA4MSJEwgICMD+/fthaGjIZFZNxMTEsJMxkZqKiYkROgSiLxaTWSIN4ePjAwMDA6HDIAE8efIEQUFBCAoKwuPHj+Hl5YX9+/ejVatWQodGJWTFihVFGrd06dJSjoSE8rE18qS6uPaZqGCcZkykIZKSkrBjxw4MGzYMANC7d2+kp6fL9mtpaWHDhg0wMzMTKEIqSdnZ2Thw4AA2btyIs2fPon379vjhhx/g7e2NiIgIVK1aVegQqQS1aNHio2NEIhFOnjyphGiotHl4eMglrzdu3ECVKlWgq6srN463YlIPixcvxqhRo2QXpM+fP4969epBT08PAJCSkoLJkydjzZo1QoZJJAgms0QaYsmSJbh+/Tq2bdsG4N0aq3bt2sHY2BgAcOHCBXh5eWHmzJkCRkklxdraGlWqVEGfPn3Qo0cPmJubAwB0dHSYzBKpuFmzZhVp3IwZM0o5ElKGD3temJiYIDw8XLZGOj4+HnZ2dlwzSxqJ04yJNMSePXswb948uW2LFy+W/WO4f/9+zJ49m8msmsjJyYFIJIJIJIKWlpbQ4ZBAcnJykJGRwfvPqhkmqZrlw7oT61BE7338xpNEpBYePHgANzc32XM3Nze5KWm1atXCvXv3hAiNSsHz588xePBg7NixAzY2NujevTv279/PdXVq6tChQwgODpbbNm/ePBgZGcHMzAxt27bF69evhQmOlOb06dM4fPgwP2si0hhMZok0RFpaGt68eSN7fuXKFdjb28vtl0gkQoRGpUBfXx+9e/fGyZMncfPmTbi7u2P06NHIycnBvHnzcPz4cU5JUyNLly5FWlqa7HloaCj8/f0xffp07N69G0+ePMGcOXMEjJBK0qJFizB9+nTZc6lUivbt26NFixbo1KkT3N3dERkZKWCERETKwWnGRBrC2dkZ165dQ/Xq1RXuv3LlCpycnJQcFSlDpUqVMHfuXMyePRtHjx5FQEAAOnXqBGNjYyQkJAgdHpWAyMhIuU7Fe/fuRZs2bfC///0PwLuLG2PGjGE3YzWxa9cuTJ48WfZ87969OHPmDM6ePQt3d3f069cPs2bNwu7duwWMkkrSxo0bZcsFcnJyEBwcDEtLSwDvGkARaSo2gCLSENOnT8emTZtw+fJllCtXTm5fXFwcPD090a9fP8ydO1egCEmZXr58iS1btmDcuHFCh0IlwMDAANHR0ahQoQIAwNPTEz169MDEiRMBAI8ePULVqlXlqrekuszNzREaGgp3d3cAwIABA5Cbm4vNmzcDAC5evIgePXrgyZMnQoZJJcTR0bFIS0R4P1rSRKzMEmmISZMmYd++fahcuTL69u0LV1dXAEB0dDS2bt2K8uXLy13pJ/VmZWXFRFaNlC9fHrdv30aFChWQmpqKiIgILFu2TLb/1atXMDQ0FDBCKkk5OTmy27IA77rRjx07Vvbczs6Osy7UyMOHD4UOgeiLxWSWSEMYGxvj/PnzmDp1Knbs2IGkpCQAgJmZGX744QfMnz9fdpseIlItPXr0wNixYzFt2jQcPnwYNjY2aNiwoWz/lStX5BrAkWqrVKkSzpw5A2dnZzx+/Bh3797F119/Ldv/9OlTWFhYCBghlTSpVIp///0XWVlZcHNzg7Y2/4QnApjMEmkUc3NzrF27Fr/99htevnwJ4F2Fjh1uiVSbv78/nj17htGjR8PGxgZbt26VuyXTjh070LlzZwEjpJI0YsQIjBw5EmfPnsXFixfRqFEjuXtHnzx5Eh4eHgJGSCUpJiYGXbp0QVRUFIB3MzH27duH+vXrCxwZkfC4ZpaIiIhIxQQGBuLQoUOwsbHBjBkzYGNjI9s3fPhwtG7dGt26dRMwQiop33//PSIjI+Hv7w99fX0sWbIEGRkZuHr1qtChEQmOySyRhmjRosVHK7AikQgnTpxQUkREVJqkUilOnTqF9PR0NG7cGObm5kKHRESfwcbGBnv37kXTpk0BALGxsbC3t0dycjLKlCkjcHREwuI0YyINUbt27QL3paSkYPv27cjMzFReQFSqZs+eXaRx/v7+pRwJKUNSUhLGjBmDa9euoWHDhvjll1/QsWNHhIaGAgCsra1x7Ngx1KxZU+BISRmuXbsGf39//Pnnn0KHQiXgxYsXqFy5suy5ra0tDAwM8OLFC95SjzQeK7NEGiwnJwerV6/GvHnzYGpqijlz5sDLy0vosKgEFLZeTiQSITo6GhkZGcjNzVViVFRaBg4ciDNnzsDHxweHDh2CWCyGVCrF8uXLIRaLMWnSJBgZGeHQoUNCh0ol5OjRozh+/Dh0dXUxcOBAODs7486dO5gyZQoOHTqEdu3a4fDhw0KHSSVAS0sLd+/ehZWVlWybvb09zp07B0dHR9k2ExMTAaIjEhaTWSINtW3bNvj7+yM9PR0//fQTBg8ezO6IGiA8PBxTpkzByZMn4evri7Vr1wodEpWA8uXLY/v27WjWrBmePXsGBwcHnDx5Es2bNwcAhIWFoUuXLoiLixM2UCoRAQEBGDRoEMqWLYvXr1/DwsICS5cuxahRo9CrVy+MGTNGdg9aUn1isTjfMiGpVCrblvf/vDhJmoh/uRJpmCNHjmDKlCmIiYnBhAkTMG7cOK650QAxMTGYPn06du3ahW7duiEyMlJu2hqptvj4eNm9o8uXLw99fX04ODjI9leoUEHWwZxU34oVK7Bo0SJMnDgR+/btQ48ePbBmzRrcvHkT9vb2QodHJezUqVNCh0D0xWIyS6QhwsLCMHnyZFy8eBFDhw7FP//8A0tLS6HDolKWkJCAWbNmYf369WjatClCQ0N5Owc1JJFI5G7Fo6WlJVfJ4e231Mv9+/fRo0cPAEC3bt2gra2Nn3/+mYmsmmrWrJnQIRB9sZjMEmmIhg0bwsDAAEOHDoWTkxO2b9+ucNzo0aOVHBmVhrS0NCxZsgRLly6Fi4sLDh06hLZt2wodFpWijRs3wsjICMC79fDBwcGyC1YpKSlChkYlLD09HYaGhgDeXajQ09ODra2twFFRacnJyUFubi709PRk2+Lj47F27VqkpaWhS5cusk7HRJqGa2aJNISjo2ORbs3z4MEDJUVEpcnGxgYpKSkYNWoUvL29C/zs2d1WPRTl5xt4N92cVJ9YLMbcuXNlFy8mT56MiRMn5pttw4uT6mHAgAHQ1dXFunXrALy7OFWtWjVkZGTA1tYWUVFR+OOPP9CxY0eBIyVSPiazRERqSCwWy/5fJBLhv7/q856zYQiRauLFSc3i6uqKX3/9VTa7ZvXq1Zg/fz6ioqJgamqKyZMnIywsjGtrSSNxmjERkRpiBY5IfT18+FDoEEiJnj17Jtew78SJE+jevTtMTU0BAD4+PggKChIqPCJBiT8+hIjUQceOHfHmzRvZ84ULFyIpKUn2/NWrV6hataoAkVFpqFixYpEepB74802kvvT19ZGeni57fvHiRTRo0EBuf2pqqhChEQmOySyRhjh69CgyMzNlz+fPn4/ExETZ85ycHERHRwsRGpWiy5cvY9y4cejUqRM6deqEcePG4cqVK0KHRSWMP9+ahRcvNEvt2rWxZcsWAMDZs2cRHx+Pli1byvbfv38fdnZ2QoVHJCgms0Qa4sPl8Vwur/4mTZqEBg0aYOPGjXj69CmePn2KDRs2oEGDBpg8ebLQ4VEJ4s+3ZuHFC83i7++PFStWoFKlSmjXrh369+8v1716//79aNKkiYAREgmHa2aJiNTQpk2bsGrVKqxcuRJDhgyBjo4OACA7Oxu//fYbJk+ejGrVqqFfv34CR0pEn4oXLzRLs2bNcPXqVRw7dgw2NjayewznqV27Njw9PQWKjkhYTGaJNIRIJMrX/bIot/Ig1ZTX7XLkyJFy23V0dDB69Gjk5OTg119/ZTKrJvjzTaTe3N3d4e7urnDf4MGDlRwN0ZeDySyRhpBKpejfv7/spusZGRkYOnQoypQpAwByU9ZI9UVGRuLbb78tcH/Xrl0xffp0JUZEpYk/35qFFy+IiN5hMkukIXx8fOSe9+nTJ98YVunUh5aWFrKysgrcn52dDS0tLSVGRKWpX79+cskMf77VGy9eEBG9I5JyoQURkdpp3rw5vvrqK8yZM0fh/p9++gnnzp1DSEiIcgMjomIbMGBAkcbx3qNEpO5YmSUiAMCdO3fQpUsX3L17V+hQqARMmDABXbt2RWZmJsaPH49y5coBAOLi4vDLL79g+fLl2L9/v8BRUkkJCgpCq1atUKFCBaFDISVgkqpZzpw5g8aNG0Nbm3+2E32IlVkiAgBERESgTp06yM3NFToUKiGrVq3ChAkTkJOTA1NTUwDAmzdvoK2tjcWLF2PMmDECR0glxcDAAFlZWahYsSJatGghe5QvX17o0IiomLS0tBAbGwtra2uhQyH64jCZJSIATGbV1dOnT7Fnzx7cu3cPAODq6oru3bvDwcFB4MioJGVmZiI0NBSnT5/GqVOnEBYWhqysLLi4uMgS2+bNm8sq9KT6Tp06hWvXrqFhw4Zo0qQJ1q1bh3nz5iE9PR1du3bFypUrYWBgIHSYVALEYjHi4uKYzBIpwGSWiAAwmSVSJxkZGbhw4QJOnTqFkJAQXL58GdnZ2cjJyRE6NCoBGzZswLBhw+Dk5IQnT55gxowZmDdvHvr27QuxWIytW7di2LBhWLhwodChUgkQi8WIj4+HlZWV0KEQfXE4+Z6IiEjNiMViiMVi2S1cpFIp19OqkRUrVmDZsmUYNWoUjhw5gs6dO2Pjxo2yrvXNmzfH1KlTmcyqkf92ry7I77//rqRoiL4cTGaJNIS5uXmh9yFkxYZIdWVlZeHixYsICQnByZMncenSJVSsWBFff/01Bg0ahK1bt3JquRp58OABunTpAgBo3749RCIRPD09ZfsbNGiAJ0+eCBUelQJjY2NOGydSgMkskYZYvny50CEQUSkxNTWFtbU1OnfujBEjRmDnzp2wsbEROiwqJRkZGXKJjZ6enlzVTk9Pjxco1czKlSu5ZpZIASazRBoib/oZEamfWrVq4fr16zhz5oxsinHz5s1hYWEhdGhUCkQiEVJSUqCvrw+pVAqRSITU1FQkJycDgOy/pB4Km1VFpOnYAIqISA2FhYWhbt260NLSUrg/MzMTf/zxB3r27KnkyKi0pKam4ty5c7KmT9evX4erqyuaN2+OZs2aoVmzZqzsqIm89dB58hLaD5+zoZ96YDdjooIxmSUiUkMf3pfQxMQE4eHhcHZ2BgDEx8fDzs6Of+yqsZSUFJw9exbHjx9HUFAQUlNTOfVUTZw+fbpI45o1a1bKkZAynD59Gk2aNIG2NidUEn2IPxVERGrow+uUiq5b8lqmepJIJLh8+TJCQkJw6tQpnD9/HmlpaahYsaLQoVEJYZKqWR49eoRHjx59dFy/fv2UEA3Rl4WVWSIiNfThtDRjY2NERESwMqumwsLCEBISgpCQEJw7dw6pqamwt7dH8+bN0aJFC7Ro0QKOjo5Ch0lEn8Hc3LzAfSKRCGlpacjJyeHvc9JIrMwSERGpuIYNG8LGxgYtWrTA0qVL0aJFC1SqVEnosKiUFLQW/kNMbtTD69evFW6PjY3FrFmzEBgYiDZt2ig5KqIvA5NZIg0xe/bsIo3z9/cv5UhIWaKiohAXFwfg3ZTiO3fuIDU1FQCQkJAgZGhUwm7fvg03NzehwyAlkUqlqFixInx8fODh4SF0OKRkKSkpWLRoEVasWIFq1arh6NGjaNGihdBhEQmC04yJNERhf/CIRCJER0cjIyODV/LVRF63U0W/4vO2s9spkWq6cuUKAgICsHPnTjg5OcHX1xe9e/cudDoqqb7s7GysWrUK8+fPh4WFBebNm4fvv/9e6LCIBMVklkjDhYeHY8qUKTh58iR8fX2xdu1aoUOiElCUZiEA2BSISIVlZGRg7969CAoKwsWLF9G5c2f4+flxyqmakUql2Lx5M/z9/ZGTk4MZM2bAz8+vyNPNidQZk1kiDRUTE4Pp06dj165d6NatG+bOnYvKlSsLHRYREX2GmJgY+Pn54fTp03j58iXKli0rdEhUQmrUqIEHDx5g1KhRGDt2LAwNDRWOMzExUXJkRMJjMkukYRISEjBr1iysX78eTZs2xcKFC1G/fn2hw6IS9vjx4yKNq1ChQilHQkSl6enTpwgODkZwcDDevn2Lfv36Ye7cubwnqRoRi8Wy/xeJRPn2c9kIaTL+piPSEGlpaViyZAmWLl0KFxcXHDp0CG3bthU6LColTk5Osv/Pu2b53z+C+McPkerKysrC/v37ERAQgLNnz6JDhw5Yvnw5OnTowKmnaujUqVNCh0D0xWJllkhD2NjYICUlBaNGjYK3t7fCq7sAULNmTSVHRqVBW1sb9vb26N+/Pzp37lxglaZWrVpKjoxKA7uVaxYLCwsYGxvDx8cHffv2ld1P+kOcdkpE6o7JLJGG+HCa0n9/9NndVv3ExcVh06ZNCAoKQlJSEvr06QM/Pz+4u7sLHRqVAnYr1yycdqpZbty4oXC7qakpKlSoUODFaSJNwGSWSEOwu63mOnfuHIKCgrBnzx5UrVoVfn5+8PPzk/uDmNQTu5Wrp9OnTxdpXLNmzUo5ElKGgm61JhKJoK+vj7Fjx2L27NmcYk4aicksEZGGiI+Ph7e3N7udagB2KydSHwVdjE5KSsLVq1cxffp0/Pjjj5gwYYKSIyMSHi/LE2mYy5cvY9y4cejUqRM6deqEcePG4cqVK0KHRaUoNDQUAwcOhKurK1JTU7F69WqYmZkJHRaVgoSEBIwaNQpVqlRBbGwsQkNDsWvXLiayamb37t3IysqSPX/69CkkEons+du3b7F48WIhQqNSULFiRYWPWrVqwdfXFytWrMCmTZuEDpNIEKzMEmmQSZMmYcmSJTAyMoKzszMA4P79+3j79i0mTJiARYsWCRwhlZTY2Fhs3rwZQUFBeP36NXr37g1fX19Ur15d6NCoFHzYrXzBggXsVq7GtLS0EBsbK2v8ZGJigvDwcNnv9fj4eNjZ2XHNrIaIiYlBjRo1kJqaKnQoRErHW/MQaYhNmzZh1apVWLlyJYYMGQIdHR0AQHZ2Nn777TdMnjwZ1apVQ79+/QSOlEpChQoVUL58efj4+KBLly7Q0dGBRCLJ10iE3avVQ6VKlfJ1K1fUNIaft3r4sA7BuoRmi4uLg5WVldBhEAmClVkiDeHp6Qlvb2/8+OOPCvcvXboUO3fuRFhYmJIjo9KgqNupouYhrNyoB3Yr1yxisRhxcXGyyqyxsTEiIiJYmdVAL1++hLe3NypUqIDAwEChwyFSOlZmiTREZGQkvv322wL3d+3aFdOnT1diRFSaYmJihA6BlIifN5H68vDwUHj7nTdv3uDp06dwc3PD1q1bBYiMSHhMZok0hJaWllzDkA9lZ2ezrb8a4S2WNAs/b81z9OhRmJqaAgAkEglOnDiBW7duAXjX5ZbUR9euXRVuNzExgZubG9q1a8d/v0ljcZoxkYZo3rw5vvrqK8yZM0fh/p9++gnnzp1DSEiIcgOjUqFovaQiXEOpXi5fvowdO3bg7t27AABXV1f88MMPqFevnsCRUUkqyj2iOa2ciDQBk1kiDfHnn3+ia9euGDduHMaPH49y5coBeNc44pdffsHy5cuxf/9+dOrUSeBIqSSIxeJ8ayc/xD921Qu7lROpt/T0dBw/flx2scrNzQ2tW7eGgYGBwJERCYfJLJEGWbVqFSZMmICcnBzZ9LQ3b95AW1sbixcvxpgxYwSOkErKo0ePijSO01PVw6ZNmzB06FD8/PPPBXYrX7duHbuVE6mogwcPYuDAgUhISJDbbmlpiYCAAHTu3FmgyIiExWSWSMM8ffoUe/bswb179wC8m4bYvXt3ODg4CBwZlaTZs2djwoQJMDQ0FDoUUgJ2K9csZ86cKdK4r7/+upQjIWUIDQ1F8+bN0aVLF4wfPx7u7u4AgKioKPzyyy/4888/cfr0aTRs2FDgSImUj8ksEZEa0tLSQmxsrOzWHaTeypQpg5s3b8qmF3/owYMHqFGjBtLS0pQcGZWGvGUEQMH3mOUyAvXRsWNHODg4YN26dQr3DxkyBE+ePMHhw4eVHBmR8NjNmEhDHDx4sEjjunTpUsqRkDLwOqVmYbdyzWJubg5jY2P0798fffv2haWlpdAhUSm6ePFioWveR4wYgWbNmikxIqIvB5NZIg1RUGv//+KVfPWi6L6EpJ7q1KmDbdu2FditfMuWLahTp46So6LSEhsbi/379yMwMBCLFy9Gx44d4efnh/bt2/PnXg2lp6fDxMSkwP2mpqbIyMhQYkREX46P93YnIrUgkUg++mAiq15cXV1RtmzZQh+kHiZMmIAFCxZg0qRJiI+Pl22Pi4vDxIkTsWjRIkyYMEHACKkk6erqolevXjh69Cju3LmDmjVrYuTIkXBwcMD//vc/5OTkCB0ilaDKlSvj5MmTBe4/ceIEKleurMSIiL4cXDNLRKSGxGIxli9fLutaXRAfHx8lRUSljd3KNVtMTAz8/Pxw+vRpvHz5kher1MiyZcswd+5cbNmyBR07dpTb99dff8HHxwfTpk3DuHHjBIqQSDhMZok0xN27d5GUlARPT0/ZthMnTmDu3LlIS0tD165dMW3aNAEjpJIkFosRFxfHBlAaht3KNUtmZib27duHwMBAXLhwAd988w18fX3Rvn17oUOjEiSRSNCrVy/s27cPbm5ucHd3h1Qqxe3bt3Hv3j107doVe/bsgVjMCZekeZjMEmmI7777DjVq1MDs2bMBvLuKX61aNXz11VeoUqUKAgMDMWfOHIwdO1bYQKlEsJsxkfoKCwtDUFAQdu7cCUdHRwwYMAB9+vRhNVbN7dq1Czt27MDdu3cBvLtY5eXlBS8vL4EjIxIOk1kiDeHg4IDdu3ejUaNGAIC5c+di7969CA8PBwAEBARg1apVsuek2liZJVJfYrEYFSpUgI+PD+rWrVvgOHanJyJ1x2SWSEMYGBjg7t27sumGrVq1QuPGjWXdT+/fv4+6desiKSlJwCiJiOhjijKdlN3piUgTcHI9kYYoW7YsYmNjAbxbf3PlyhU0bNhQtj8rK4v3JiUiUgHsTq9ZtLS0ivQg0kS8zyyRhmjevDnmzJmDNWvWYM+ePZBIJGjevLlsf1RUFBwdHQWLj4iIiPKTSqWoWLEifHx84OHhIXQ4RF8UJrNEGmLevHlo06YNKlasCC0tLaxcuRJlypSR7d+yZQtatmwpYIRE9LnCwsJQt27dAqszmZmZ+OOPP9CzZ08lR0ZExRUWFoaAgACsWLECTk5O8PX1Re/evWFubi50aESC45pZIg2Sk5ODyMhIWFlZwc7OTm5fREQE7O3tYWFhIVB0RPS5PuxebWJigvDwcDg7OwMA4uPjYWdnx6mnRCosIyMDe/fuRVBQEC5evIjOnTvDz88Pbdq0ETo0IsEwmSXScDk5OcjIyICRkZHQoRDRZ/qwe7WxsTEiIiLkkllbW1tIJBIhwySiEhITEwM/Pz+cPn0aL1++5G2ZSGOxARSRhjh06BCCg4Plts2bNw9GRkYwMzND27Zt8fr1a2GCI6JSJxKJhA6BiIrp6dOnmDt3Ltq0aYM7d+5g4sSJMDExETosIsEwmSXSEEuXLkVaWprseWhoKPz9/TF9+nTs3r0bT548kd2mh4iIvlyBgYHIzMwUOgxSkqysLOzatQtt27ZF5cqVce3aNSxfvhxPnjzBwoULoa3NFjikuTjNmEhDWFtb4+jRo7JOiOPGjUNUVBSOHDkCADh8+DDGjBmDe/fuCRkmEX0GsViMkydPyqYaNm7cGLt374a9vT0AICEhAW3atOGaWTXx4RppOzs7hIaGsiO9mrKwsICxsTF8fHzQt29f2ef+IVZoSRMxmSXSEAYGBoiOjkaFChUAAJ6enujRowcmTpwIAHj06BGqVq0qV70lItUgFoshEokU3is6b7tIJGIyqyY+tkaa1ItY/H4ipaLlAvz5Jk3GeQlEGqJ8+fK4ffs2KlSogNTUVERERGDZsmWy/a9evYKhoaGAERLR54qJiRE6BCIqJadOnRI6BKIvFpNZIg3Ro0cPjB07FtOmTcPhw4dhY2ODhg0byvZfuXIFbm5uAkZIRJ+rYsWKQodASiQSieQqdB8+J/XSrFmzj45JTExUQiREXx4ms0Qawt/fH8+ePcPo0aNhY2ODrVu3QktLS7Z/x44d6Ny5s4AREtHnevz4cZHG5S0zINUmlUrh6uoqS2BTU1Ph4eEhNx0VYIKjCY4dO4aNGzfi0KFDSE9PFzocIqXjmlkiIiIV998LU3n/rP+3Usc1depl06ZNRRrn4+NTypGQEB49eoTAwEBs2rQJr1+/RocOHdC9e3f06NFD6NCIlI6VWSIN8eLFiwI7IAJAbm4url69Ck9PTyVGRUQlQSQSwd7eHv3790fnzp15qw41xyRV82RlZeH333/Hxo0bcf78ebRu3RpPnz7F9evXUaNGDaHDIxIMK7NEGuLDWznUqFEDhw8fhoODAwAgPj4ednZ2rNwQqaC4uDhs2rQJQUFBSEpKQp8+feDn5wd3d3ehQ6NSlJ6ejuPHj+Pu3bsAADc3N7Ru3RoGBgYCR0YladSoUdixYwcqV66MPn36wMvLCxYWFtDR0UFERASqVq0qdIhEgmEyS6QhPnYrh/j4eNja2kIikQgZJhEV07lz5xAUFIQ9e/agatWq8PPzg5+fX771lKTaDh48iIEDByIhIUFuu6WlJQICAtgDQY1oa2tj8uTJmDJlCoyNjWXbmcwSAfyXjYhk2A2TSPU1bdoUAQEBuHfvHgwNDTF06FAkJSUJHRaVoNDQUHz//ff4+uuvcf78eSQmJiIxMRHnzp3DV199he+//x4XL14UOkwqIVu2bEFYWBhsbW3Rq1cv/Pnnn5xFRfT/mMwSERGpkdDQUAwcOBCurq5ITU3F6tWrYWZmJnRYVILmzp2LAQMGYO/evWjUqBHMzMxgZmaGxo0bY9++fejfvz9mz54tdJhUQry9vXH8+HHcvHkTVapUwYgRI2BjYwOJRIKoqCihwyMSFKcZE2kILS0t3L17F1ZWVpBKpXBwcMC5c+fg6OgI4N004ypVqvBqL5EKio2NxebNmxEUFITXr1+jd+/e8PX1RfXq1YUOjUpB2bJlcfr06QIb/9y4cQPNmjXD69evlRwZKYNUKsWxY8cQEBCAgwcPwtLSEt26dcPKlSuFDo1I6ZjMEmkIsVis8FYdHz5nMkukenR0dFC+fHn4+PigS5cu0NHRUTiuZs2aSo6MSoOBgQHu3LmDihUrKtz/6NEjVKlShfcd1QCJiYmyC1kRERFCh0OkdExmiTTE6dOnizSuWbNmpRwJEZW0/zZ3yrtI9eE/77xYpT5q1qyJH3/8EQMGDFC4PzAwEMuXL8eNGzeUHBkRkXLxRnREGoJJKpH6iomJEToEUqIBAwZgwoQJKFeuHDp27Ci376+//sKkSZMwbdo0gaIjIlIeVmaJNEROTg5yc3Ohp6cn2xYfH4+1a9ciLS0NXbp0QdOmTQWMkIiIikIikaBXr17Yt28f3Nzc4O7uDqlUitu3b+PevXvo2rUr9uzZw9sxEZHaYzJLpCEGDBgAXV1drFu3DgCQkpKCatWqISMjA7a2toiKisIff/yR7yo/EX35ijqdlGtm1cuuXbuwY8cO3L17FwDg6uoKLy8veHl5CRwZEZFyMJkl0hCurq749ddf0bZtWwDA6tWrMX/+fERFRcHU1BSTJ09GWFgYTp06JXCkRPSp8hq8FfZPOtfMEqmm8PBw1K5dW+gwiL5ITGaJNESZMmVw69YtODk5AQC6desGe3t7WSv/qKgoNG/eHC9evBAyTCL6DI8ePSrSuIK63xLRl0tPTw8zZszAlClTOHWc6AP8iSDSEPr6+nK3abh48SIaNGggtz81NVWI0IiomDZt2gQrKytUrFix0AcRqZ79+/djzZo1aNy4Me7duyd0OERfFCazRBqidu3a2LJlCwDg7NmziI+PR8uWLWX779+/Dzs7O6HCI6JimDVrFi9GEampjh07IjIyElWqVIGHhwdWrVoldEhEXwxOMybSEKdPn0aHDh1ga2uL2NhYeHt7IyAgQLZ/+PDhSEtLw6ZNmwSMkog+h1gsRlxcHKytrYUOhYhK0d69e+Hl5YUyZcpAS0tLbl9iYqJAUREJh/eZJdIQzZo1w9WrV3Hs2DHY2NigR48ecvtr164NT09PgaIjouISiURCh0BEpejy5cuYPn06KleujAkTJkBbm3/GE7EyS0REpOLEYjFMTU0/mtCycqMeunXrVqRxv//+eylHQsqQk5ODGTNmYMmSJRgxYgTmz58PfX19ocMi+iLwkg4REZEamDVrFkxNTYUOg5Tgw895+/bt6Ny5M4yNjQWKiEpTnTp1kJqaiqNHj6J58+b59t+5cwddunSR3W+YSJOwMktERKTiuGZWsxkbGyMiIgLOzs5Ch0KlYODAgVi2bFmBFysiIiJQp04d3keaNBIrs0RERCqO62WJ1NfGjRuFDoHoi8Vb8xAREak4TrIiIiJNxMosERGRipNIJEKHQEREpHRMZokIAODj44MnT57g5MmTQodCRESFOHjwoNxziUSCEydO4NatW3Lbu3TposywqJSYm5sXupQgJydHidEQfVmYzBIRAKB8+fIQi7nygIjoS9e1a9d824YMGSL3XCQSsSGQmli+fLnQIRB9sdjNmIiIiIiIiFQOyzBEREREKsTX1xcpKSlCh0FfiNjYWIwcOVLoMIgEwcoskYZISkrCjh07MGzYMABA7969kZ6eLtuvpaWFDRs2wMzMTKAIiYioKLS0tBAbG8v7CmuQyMhInDp1Crq6uujZsyfMzMyQkJCAefPmYe3atXB2dkZkZKTQYRIpHSuzRBpiw4YNOHfunOz5wYMHIRaLYWpqClNTU9y8eZPrcoiIVADrEJrl4MGD8PDwwOjRozF06FDUq1cPp06dgru7O27fvo39+/czkSWNxcoskYZo0KAB5s2bh9atWwMAjI2NERERAWdnZwDA/v37MXv2bFy/fl3IMImI6CPEYjHu3bsHKyurQseZmJgoKSIqTZ6enmjSpAnmzJmDjRs3Yty4cahWrRoCAwNRv359ocMjEhSTWSINYWVlhWvXrsHBwQEAUK9ePRw4cAD29vYAgAcPHqBmzZpITU0VMkwiIvoIsVhc6K1apFIpuxmrEVNTU1y9ehUuLi7Izc2Fnp4ejhw5Irs4TaTJeGseIg2RlpaGN2/eyJLZK1eu5NsvkUiECI2IiD7R3r17UbZsWaHDICVISUmRVdm1tLRgYGAgm1VFpOmYzBJpCGdnZ1y7dg3Vq1dXuP/KlStwcnJSclRERPQ5mjRpwgZQGuTo0aMwNTUFAEgkEpw4cQK3bt2SG9OlSxchQiMSFKcZE2mI6dOnY9OmTbh8+TLKlSsnty8uLg6enp7o168f5s6dK1CERERUFGKxGHFxcUxmNYRY/PF+rZxWTpqKySyRhkhJSUGDBg3w9OlT9O3bF66urgCA6OhobN26FeXLl0dYWBiMjY0FjpSIiArj5OSEK1euwMLCQuhQiIgExWSWSIO8fv0aU6dOxe7du5GUlAQAMDMzQ8+ePTF//nyuvyIiUgG5ubmIiopCjRo1AABr165FVlaWbL+WlhaGDRtWpIoeqT6JRILDhw+jU6dOQodCpHRMZok0kFQqxcuXLwG863JcWFdMIiL6smzfvh1r167FmTNnALy71ZqZmRm0td+1QklISMDy5cvh5+cnZJhUyv79918EBgYiODgYL1++RHZ2ttAhESkdL9kRaYh69eph7dq1SE5OhkgkgrW1NaytrZnIEhGpmMDAQIwYMUJu2+nTpxETE4OYmBj8/PPP2Lp1q0DRUWlKT0/H5s2b8fXXX8PNzQ2hoaHw9/fH06dPhQ6NSBBMZok0RK1atTBp0iTY2tqib9++CAkJETokIiL6DNHR0ahXr16B+5s1a4aIiAglRkSl7fLlyxgyZAhsbGywfPlyfPvttxCJRFizZg2GDh2ar7EjkaZgMkukIQICAhAXF4fVq1fjyZMnaNWqFVxcXDB//nw8e/ZM6PCIiKiI8paJ5Hnw4AEcHR1lz3V0dJCWlqbkqKi01KxZEz169ICFhQVCQ0Nx7do1jB8/njOriMBklkijGBoaon///ggJCcHdu3fh5eWFdevWwdHREd988w1+//13oUMkIqKPKFeuHKKjo2XPrays5Jo93b59GzY2NkKERqUgOjoaX3/9NVq0aIGqVasKHQ7RF4UNoIg0nFQqxb59+zBkyBAkJSXxPnVERF84X19fREdH4/z58/n2SaVSNGnSBFWqVEFgYKAA0VFJe/bsGYKDgxEUFIT09HR4e3ujd+/eaNCgAcLDw5ngkkZjMkukwUJCQhAUFIR9+/ZBW1sbXl5eWLt2rdBhERFRIe7fv486deqgSpUqmDBhgtx9w5csWYLo6GhcvXoVLi4uAkdKJe3kyZMIDAzE77//joyMDEyYMAEDBw6UfQ8QaRoms0Qa5unTpwgODkZwcDAePHiAr776Cn5+fujRowcMDAyEDo+IiIogLCwM/fv3x507d2RrJ6VSKapUqYKgoCA0aNBA4AipNL158wbbtm1DYGAgrl27hurVq+PGjRtCh0WkdExmiTTE7t27ERgYiBMnTsDa2ho+Pj7w9fXllXsiIhV2/fp13Lt3DwBQuXJleHh4CBwRKVt4eDgCAwOxcuVKoUMhUjoms0QaQldXF9988w38/PzQsWNHuWYheW7duoXq1asLEB0REREp8uLFC1hbWxe4PycnB9euXYOnp6cSoyL6MjCZJdIQBf1jmJKSgh07dmDjxo24evUqG0AREX3hZs+eXaRx/v7+pRwJKYOWlhZiY2Nl/4bXqFEDhw8fhoODAwAgPj4ednZ2/PebNJK20AEQkXJ8mMieOXMGAQEB2LdvH+zs7NCtWzesXr1aoOiIiKio9u/fX+A+kUiE6OhoZGRkMJlVEx/WnR4+fIjs7OxCxxBpCiazRBokLi4OwcHBCAgIQHJyMnr27InMzEwcOHCArf2JiFTE9evXFW4PDw/HlClTcOvWLQwaNEjJUZGQ8pqAEWma/IvmiEgtde7cGW5ubrhx4waWL1+O58+fY9WqVUKHRURExRQTE4M+ffqgfv36MDU1RWRkJG+zRkQagZVZIg3x999/Y/To0Rg2bBgqV64sdDhERFRMCQkJmDVrFtavX4+mTZsiNDQU9evXFzosKmEikQgpKSnQ19eHVCqFSCRCamoqkpOTAUD2XyJNxMoskYY4d+4cUlJSULduXTRo0AC//vorEhIShA6LiIg+UVpaGmbNmoVKlSohNDQUhw4dwokTJ5jIqimpVApXV1eYm5ujbNmySE1NhYeHB8zNzWFubg43NzehQyQSDLsZE2mYtLQ07Nq1C4GBgQgLC0Nubi6WLl0KX19fGBsbCx0eERF9hI2NDVJSUjBq1Ch4e3sXuF6yZs2aSo6MSsO2bdtgb2//0XHNmjVTQjREXxYms0QaLDo6GgEBAdiyZQuSkpLQpk0bHDx4UOiwiIioEP+9T7hIJJLrZJv3XCQS8VYtasLc3ByrV6/GDz/8IHQoRF8cJrNEhNzcXBw6dAiBgYFMZomIvnCPHj0q0riKFSuWciSkDGvWrMHkyZPRvn17rFu3DmXLlhU6JKIvBpNZIiIiIqIvWExMDPz8/BAVFYUNGzagc+fOQodE9EVgAygiIiIiFbJ48WKkp6fLnp8/fx6ZmZmy5ykpKRg+fLgQoVEpcXJywsmTJ/HTTz+hW7duqFmzJurUqSP3INJErMwSERERqRAtLS3ExsbC2toaAGBiYoLw8HA4OzsDAOLj42FnZ8c1s2rm0aNHGDBgAG7duoUhQ4ZAW1v+DpszZswQKDIi4fA+s0REREQq5MM6BOsS6m/Dhg0YP348WrdujcjISFhZWQkdEtEXgcksEREREdEXqn379ggLC8Ovv/6Kfv36CR0O0ReFySwRERER0RcqNzcXN27cKNK9Zok0DZNZIiIiIhWzceNGGBkZAQBycnIQHBwMS0tLAO8aQJH6OH78uNAhEH2x2ACKiIiISIU4OjpCJBJ9dFxMTIwSoiEiEg6TWSIiIiIiIlI5vM8sERERkRp5+vQpBg8eLHQYRESljpVZIiIiIjUSERGBOnXq8D6zRKT2WJklIiIiIiIilcNkloiIiIiIiFQOk1kiIiIiIiJSObzPLBEREZEK6datW6H7k5KSlBMIEZHAmMwSERERqRBTU9OP7u/Xr5+SoiEiEg67GRMREREREZHK4ZpZIiIiIiIiUjlMZomIiIiIiEjlMJklIiIiIiIilcNkloiIiIiIiFQOk1kiIiIiIiJSOUxmiYiIiIiISOUwmSUiIiIiIiKVw2SWiIiIiIiIVA6TWSIiIiIiIlI5/wd5plsBupkkuAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(figsize=(10, 8))\n",
    "ax.set_title('Encoded Correlation Heatmap for Used Vehicles Dataset', pad=12)\n",
    "sns.heatmap(custdf.corr(), vmin=-1, vmax=1, annot=True, cmap='Spectral')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3011ade0-5f41-4568-86bc-d6307ee66e7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = custdf[['AVG. SESSION LENGTH', 'TIME ON APP',\n",
    "       'TIME ON WEBSITE', 'LENGTH OF MEMBERSHIP']]\n",
    "Y = custdf['YEARLY AMOUNT SPENT']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6ff743e1-5d64-4925-b11d-aafb10a236b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, Y,\n",
    "                                 test_size=0.3, random_state=101)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "485a64a9-ce74-45ee-aa15-883f05ee0621",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lm = LinearRegression()\n",
    "lm.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "00bcf8ea-0c22-4fe4-8a16-115bba9a8a02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([456.44186104, 402.72005312, 409.2531539 , 591.4310343 ,\n",
       "       590.01437275, 548.82396607, 577.59737969, 715.44428115,\n",
       "       473.7893446 , 545.9211364 , 337.8580314 , 500.38506697,\n",
       "       552.93478041, 409.6038964 , 765.52590754, 545.83973731,\n",
       "       693.25969124, 507.32416226, 573.10533175, 573.2076631 ,\n",
       "       397.44989709, 555.0985107 , 458.19868141, 482.66899911,\n",
       "       559.2655959 , 413.00946082, 532.25727408, 377.65464817,\n",
       "       535.0209653 , 447.80070905, 595.54339577, 667.14347072,\n",
       "       511.96042791, 573.30433971, 505.02260887, 565.30254655,\n",
       "       460.38785393, 449.74727868, 422.87193429, 456.55615271,\n",
       "       598.10493696, 449.64517443, 615.34948995, 511.88078685,\n",
       "       504.37568058, 515.95249276, 568.64597718, 551.61444684,\n",
       "       356.5552241 , 464.9759817 , 481.66007708, 534.2220025 ,\n",
       "       256.28674001, 505.30810714, 520.01844434, 315.0298707 ,\n",
       "       501.98080155, 387.03842642, 472.97419543, 432.8704675 ,\n",
       "       539.79082198, 590.03070739, 752.86997652, 558.27858232,\n",
       "       523.71988382, 431.77690078, 425.38411902, 518.75571466,\n",
       "       641.9667215 , 481.84855126, 549.69830187, 380.93738919,\n",
       "       555.18178277, 403.43054276, 472.52458887, 501.82927633,\n",
       "       473.5561656 , 456.76720365, 554.74980563, 702.96835044,\n",
       "       534.68884588, 619.18843136, 500.11974127, 559.43899225,\n",
       "       574.8730604 , 505.09183544, 529.9537559 , 479.20749452,\n",
       "       424.78407899, 452.20986599, 525.74178343, 556.60674724,\n",
       "       425.7142882 , 588.8473985 , 490.77053065, 562.56866231,\n",
       "       495.75782933, 445.17937217, 456.64011682, 537.98437395,\n",
       "       367.06451757, 421.12767301, 551.59651363, 528.26019754,\n",
       "       493.47639211, 495.28105313, 519.81827269, 461.15666582,\n",
       "       528.8711677 , 442.89818166, 543.20201646, 350.07871481,\n",
       "       401.49148567, 606.87291134, 577.04816561, 524.50431281,\n",
       "       554.11225704, 507.93347015, 505.35674292, 371.65146821,\n",
       "       342.37232987, 634.43998975, 523.46931378, 532.7831345 ,\n",
       "       574.59948331, 435.57455636, 599.92586678, 487.24017405,\n",
       "       457.66383406, 425.25959495, 331.81731213, 443.70458331,\n",
       "       563.47279005, 466.14764208, 463.51837671, 381.29445432,\n",
       "       411.88795623, 473.48087683, 573.31745784, 417.55430913,\n",
       "       543.50149858, 547.81091537, 547.62977348, 450.99057409,\n",
       "       561.50896321, 478.30076589, 484.41029555, 457.59099941,\n",
       "       411.52657592, 375.47900638])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions = lm.predict(X_test)\n",
    "predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5becc110-be0f-4bdc-9c23-3550db5b19bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean Absolute Error: 7.228148653430809\n",
      "Mean Squared Error: 79.81305165097419\n",
      "Root Mean Squared Error: 8.93381506697862\n",
      "R-squared: 0.9890046246741234\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n",
    "\n",
    "mae = mean_absolute_error(y_test, predictions)\n",
    "mse = mean_squared_error(y_test, predictions)\n",
    "rmse = np.sqrt(mse)\n",
    "r2 = r2_score(y_test, predictions)\n",
    "\n",
    "print(f'Mean Absolute Error: {mae}')\n",
    "print(f'Mean Squared Error: {mse}')\n",
    "print(f'Root Mean Squared Error: {rmse}')\n",
    "print(f'R-squared: {r2}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25241c08-dde7-479a-ba95-cf6baf99e8e4",
   "metadata": {},
   "source": [
    "## Step 5: Plotting and comparing the predicted values\n",
    "\n",
    "You can now plot and compare the predicted values with actual spend values. You can also do a Gaussian kernel density estimate to check the distribution of differences between actual and predicted values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "083f6da9-fe9d-4564-a314-e3ab0117204e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = range(len(y_test))\n",
    "y1 = y_test.values\n",
    "y2 = predictions\n",
    "\n",
    "f, ax = plt.subplots(figsize=(14, 8))\n",
    "plt.scatter(x, y1, label='Actual Spend', c='tab:blue', s=y1/5)\n",
    "plt.scatter(x, y2, label='Predicted Spend', c='tab:red', s=y2/20)\n",
    "\n",
    "plt.title(\"Actual Spend vs Predicted Spend - Linear Regression\")\n",
    "plt.ylabel(\"Spend Values\")\n",
    "plt.xlabel(\"Data Points\")\n",
    "ax.grid(True)\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9484a725-320c-43b5-9465-b44bcd0223c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "difference = y2 - y1\n",
    "\n",
    "sns.displot(difference, bins=50, kde=True, legend=True, height=6, aspect=2)\n",
    "plt.title(\"Distribution of Differences between Actual and Predicted Spend\")\n",
    "plt.xlabel(\"Difference (Predicted Spend - Actual Spend)\")\n",
    "plt.ylabel(\"Density\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "46af9f8a-d194-452e-ab66-a77deb60fa90",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coefficients from the fitted model:\n",
      "                      Coefficient\n",
      "AVG. SESSION LENGTH         25.98\n",
      "TIME ON APP                 38.59\n",
      "TIME ON WEBSITE              0.19\n",
      "LENGTH OF MEMBERSHIP        61.28\n"
     ]
    }
   ],
   "source": [
    "coefficients = pd.DataFrame(lm.coef_, X.columns, columns=['Coefficient']).round(2)\n",
    "\n",
    "# Display the coefficients\n",
    "print(\"Coefficients from the fitted model:\")\n",
    "print(coefficients)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}