{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "57cf4ac1",
   "metadata": {},
   "source": [
    "## Notebook set up\n",
    "\n",
    "Submit your notebook to the class leaderboard on HuggingFace at [huggingface.co/spaces/gperdrizet/leaderboard](https://huggingface.co/spaces/gperdrizet/leaderboard)\n",
    "\n",
    "**Your task**: Apply at least two different feature engineering techniques to the `housing_df` dataframe to improve the dataset. At the end of the notebook, your engineered dataset and the original dataset will be used to train a linear regression model to predict `MedHouseVal`. Your goal is to achieve better model performance via feature engineering.\n",
    "\n",
    "Don't change any of the code in the Model evaluation section of the notebook, especially the output saving. Otherwise the leaderboard scoring may not work!\n",
    "\n",
    "**Note**: If you have read ahead or you are familiar with the basics of training ML models, no there is no train-test split and yes, this means data leakage/genralizability is a concern. We will cover those topics in the next unit. For now, the goal is to keep things simple while still giving you an idea of how your feature engineering effects model performance.\n",
    "\n",
    "Before applying transformations, explore the dataset to understand what techniques would be most beneficial.\n",
    "\n",
    "### Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6be57799",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "## Custom imports\n",
    "import pygeohash as pgh\n",
    "from sklearn.experimental import enable_iterative_imputer\n",
    "from sklearn.impute import KNNImputer, IterativeImputer\n",
    "from sklearn.preprocessing import PolynomialFeatures, RobustScaler, PowerTransformer, QuantileTransformer\n",
    "\n",
    "# Set random seed for reproducibility\n",
    "np.random.seed(315)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0f01df0",
   "metadata": {},
   "source": [
    "### Load dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "857336f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load California housing dataset\n",
    "original_housing_df = pd.read_csv('https://gperdrizet.github.io/FSA_devops/assets/data/unit2/california_housing.csv')\n",
    "housing_df = original_housing_df.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18b3f456",
   "metadata": {},
   "source": [
    "## Task 1: Explore the dataset\n",
    "\n",
    "Before deciding what feature engineering techniques to apply, explore the dataset to understand its characteristics.\n",
    "\n",
    "**Things to investigate**:\n",
    "- Display basic information about the dataset (`.info()`, `.describe()`)\n",
    "- Check for missing values\n",
    "- Examine feature distributions (histograms, box plots)\n",
    "- Look at feature scales and ranges\n",
    "\n",
    "Use this exploration to inform your feature engineering decisions in the following tasks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bcd2b4bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MedInc</th>\n",
       "      <th>HouseAge</th>\n",
       "      <th>AveRooms</th>\n",
       "      <th>AveBedrms</th>\n",
       "      <th>Population</th>\n",
       "      <th>AveOccup</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>MedHouseVal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7223</th>\n",
       "      <td>1.8715</td>\n",
       "      <td>34.0</td>\n",
       "      <td>2.942116</td>\n",
       "      <td>1.019960</td>\n",
       "      <td>1962.0</td>\n",
       "      <td>3.916168</td>\n",
       "      <td>34.02</td>\n",
       "      <td>-118.16</td>\n",
       "      <td>1.39600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18989</th>\n",
       "      <td>5.0346</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.813167</td>\n",
       "      <td>1.307829</td>\n",
       "      <td>1791.0</td>\n",
       "      <td>3.186833</td>\n",
       "      <td>38.36</td>\n",
       "      <td>-121.94</td>\n",
       "      <td>2.05100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17119</th>\n",
       "      <td>4.0039</td>\n",
       "      <td>36.0</td>\n",
       "      <td>5.062762</td>\n",
       "      <td>0.987448</td>\n",
       "      <td>981.0</td>\n",
       "      <td>4.104603</td>\n",
       "      <td>37.48</td>\n",
       "      <td>-122.14</td>\n",
       "      <td>1.48900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19501</th>\n",
       "      <td>2.1528</td>\n",
       "      <td>31.0</td>\n",
       "      <td>4.457286</td>\n",
       "      <td>1.090452</td>\n",
       "      <td>614.0</td>\n",
       "      <td>3.085427</td>\n",
       "      <td>37.66</td>\n",
       "      <td>-121.03</td>\n",
       "      <td>0.75500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13310</th>\n",
       "      <td>4.6167</td>\n",
       "      <td>11.0</td>\n",
       "      <td>4.694836</td>\n",
       "      <td>0.917840</td>\n",
       "      <td>1503.0</td>\n",
       "      <td>3.528169</td>\n",
       "      <td>34.09</td>\n",
       "      <td>-117.61</td>\n",
       "      <td>1.44000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11422</th>\n",
       "      <td>5.6825</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6.699219</td>\n",
       "      <td>1.070312</td>\n",
       "      <td>1601.0</td>\n",
       "      <td>3.126953</td>\n",
       "      <td>33.71</td>\n",
       "      <td>-117.98</td>\n",
       "      <td>2.64600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18065</th>\n",
       "      <td>11.1557</td>\n",
       "      <td>24.0</td>\n",
       "      <td>7.921875</td>\n",
       "      <td>1.088542</td>\n",
       "      <td>539.0</td>\n",
       "      <td>2.807292</td>\n",
       "      <td>37.24</td>\n",
       "      <td>-122.04</td>\n",
       "      <td>5.00001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16471</th>\n",
       "      <td>3.2993</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.553191</td>\n",
       "      <td>1.148936</td>\n",
       "      <td>789.0</td>\n",
       "      <td>3.357447</td>\n",
       "      <td>38.13</td>\n",
       "      <td>-121.25</td>\n",
       "      <td>0.91100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12219</th>\n",
       "      <td>5.5351</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.584270</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>2088.0</td>\n",
       "      <td>2.932584</td>\n",
       "      <td>33.55</td>\n",
       "      <td>-117.27</td>\n",
       "      <td>4.29000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12075</th>\n",
       "      <td>5.1950</td>\n",
       "      <td>23.0</td>\n",
       "      <td>6.182390</td>\n",
       "      <td>0.991614</td>\n",
       "      <td>1671.0</td>\n",
       "      <td>3.503145</td>\n",
       "      <td>33.86</td>\n",
       "      <td>-117.60</td>\n",
       "      <td>1.61000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15356</th>\n",
       "      <td>3.1062</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.140303</td>\n",
       "      <td>1.041265</td>\n",
       "      <td>2212.0</td>\n",
       "      <td>3.042641</td>\n",
       "      <td>33.23</td>\n",
       "      <td>-117.34</td>\n",
       "      <td>1.41000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2980</th>\n",
       "      <td>3.4286</td>\n",
       "      <td>34.0</td>\n",
       "      <td>5.886831</td>\n",
       "      <td>1.049383</td>\n",
       "      <td>1375.0</td>\n",
       "      <td>2.829218</td>\n",
       "      <td>35.34</td>\n",
       "      <td>-119.02</td>\n",
       "      <td>0.71400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10085</th>\n",
       "      <td>5.0782</td>\n",
       "      <td>28.0</td>\n",
       "      <td>5.747984</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1287.0</td>\n",
       "      <td>2.594758</td>\n",
       "      <td>33.94</td>\n",
       "      <td>-117.95</td>\n",
       "      <td>2.64100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1971</th>\n",
       "      <td>3.0789</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6.845865</td>\n",
       "      <td>1.187970</td>\n",
       "      <td>769.0</td>\n",
       "      <td>2.890977</td>\n",
       "      <td>38.68</td>\n",
       "      <td>-120.63</td>\n",
       "      <td>1.31700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8949</th>\n",
       "      <td>6.0436</td>\n",
       "      <td>46.0</td>\n",
       "      <td>5.131737</td>\n",
       "      <td>1.001996</td>\n",
       "      <td>1225.0</td>\n",
       "      <td>2.445110</td>\n",
       "      <td>34.02</td>\n",
       "      <td>-118.46</td>\n",
       "      <td>4.73000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1744</th>\n",
       "      <td>2.0724</td>\n",
       "      <td>35.0</td>\n",
       "      <td>4.494915</td>\n",
       "      <td>1.172881</td>\n",
       "      <td>1023.0</td>\n",
       "      <td>3.467797</td>\n",
       "      <td>37.96</td>\n",
       "      <td>-122.35</td>\n",
       "      <td>0.97700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15922</th>\n",
       "      <td>3.6694</td>\n",
       "      <td>52.0</td>\n",
       "      <td>5.058394</td>\n",
       "      <td>1.007299</td>\n",
       "      <td>729.0</td>\n",
       "      <td>2.660584</td>\n",
       "      <td>37.73</td>\n",
       "      <td>-122.43</td>\n",
       "      <td>2.75500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5676</th>\n",
       "      <td>3.7596</td>\n",
       "      <td>36.0</td>\n",
       "      <td>4.497848</td>\n",
       "      <td>1.070301</td>\n",
       "      <td>1815.0</td>\n",
       "      <td>2.604017</td>\n",
       "      <td>33.71</td>\n",
       "      <td>-118.29</td>\n",
       "      <td>3.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17696</th>\n",
       "      <td>3.3833</td>\n",
       "      <td>20.0</td>\n",
       "      <td>4.555249</td>\n",
       "      <td>1.127072</td>\n",
       "      <td>1729.0</td>\n",
       "      <td>4.776243</td>\n",
       "      <td>37.29</td>\n",
       "      <td>-121.83</td>\n",
       "      <td>1.15200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>859</th>\n",
       "      <td>4.6146</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.503169</td>\n",
       "      <td>0.992395</td>\n",
       "      <td>2172.0</td>\n",
       "      <td>2.752852</td>\n",
       "      <td>37.57</td>\n",
       "      <td>-121.97</td>\n",
       "      <td>2.47600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "        MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  Latitude  \\\n",
       "7223    1.8715      34.0  2.942116   1.019960      1962.0  3.916168     34.02   \n",
       "18989   5.0346       2.0  8.813167   1.307829      1791.0  3.186833     38.36   \n",
       "17119   4.0039      36.0  5.062762   0.987448       981.0  4.104603     37.48   \n",
       "19501   2.1528      31.0  4.457286   1.090452       614.0  3.085427     37.66   \n",
       "13310   4.6167      11.0  4.694836   0.917840      1503.0  3.528169     34.09   \n",
       "11422   5.6825      24.0  6.699219   1.070312      1601.0  3.126953     33.71   \n",
       "18065  11.1557      24.0  7.921875   1.088542       539.0  2.807292     37.24   \n",
       "16471   3.2993      25.0  5.553191   1.148936       789.0  3.357447     38.13   \n",
       "12219   5.5351       4.0  8.584270   1.250000      2088.0  2.932584     33.55   \n",
       "12075   5.1950      23.0  6.182390   0.991614      1671.0  3.503145     33.86   \n",
       "15356   3.1062      11.0  5.140303   1.041265      2212.0  3.042641     33.23   \n",
       "2980    3.4286      34.0  5.886831   1.049383      1375.0  2.829218     35.34   \n",
       "10085   5.0782      28.0  5.747984   1.000000      1287.0  2.594758     33.94   \n",
       "1971    3.0789      14.0  6.845865   1.187970       769.0  2.890977     38.68   \n",
       "8949    6.0436      46.0  5.131737   1.001996      1225.0  2.445110     34.02   \n",
       "1744    2.0724      35.0  4.494915   1.172881      1023.0  3.467797     37.96   \n",
       "15922   3.6694      52.0  5.058394   1.007299       729.0  2.660584     37.73   \n",
       "5676    3.7596      36.0  4.497848   1.070301      1815.0  2.604017     33.71   \n",
       "17696   3.3833      20.0  4.555249   1.127072      1729.0  4.776243     37.29   \n",
       "859     4.6146      21.0  5.503169   0.992395      2172.0  2.752852     37.57   \n",
       "\n",
       "       Longitude  MedHouseVal  \n",
       "7223     -118.16      1.39600  \n",
       "18989    -121.94      2.05100  \n",
       "17119    -122.14      1.48900  \n",
       "19501    -121.03      0.75500  \n",
       "13310    -117.61      1.44000  \n",
       "11422    -117.98      2.64600  \n",
       "18065    -122.04      5.00001  \n",
       "16471    -121.25      0.91100  \n",
       "12219    -117.27      4.29000  \n",
       "12075    -117.60      1.61000  \n",
       "15356    -117.34      1.41000  \n",
       "2980     -119.02      0.71400  \n",
       "10085    -117.95      2.64100  \n",
       "1971     -120.63      1.31700  \n",
       "8949     -118.46      4.73000  \n",
       "1744     -122.35      0.97700  \n",
       "15922    -122.43      2.75500  \n",
       "5676     -118.29      3.00000  \n",
       "17696    -121.83      1.15200  \n",
       "859      -121.97      2.47600  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_df.sample(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55446f5c",
   "metadata": {},
   "source": [
    "### Sample view\n",
    "- MedInc - 1.8715 to 11.1567 - Median Income\n",
    "- HouseAge - 2.0 to 52.0 - House Age\n",
    "- AveRooms - 2.942116 to 8.813167\t- Average num Rooms ---> Clip greater than 25 to 25\n",
    "- AveBedrms - 0.917840\tto 1.187970 - Average num Bedrooms ----> Clip greater than 5 to 5\n",
    "- Population -\t614.0 to 2212.0 - City Population ----> Clip greater than 10,000 to 10,000\n",
    "- AveOccup - 2.445110 to 4.776243 - Average num People in House  ----> Clip greater than 10 to 10\n",
    "- Latitude - 33.55 to 38.68           Bin lat long to geohash ()\n",
    "- Longitude\t- -122.43 to -117.34\n",
    "- MedHouseVal - 0.71400 to 5.00001 - Median House Value (Target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fbda2f56",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 20640 entries, 0 to 20639\n",
      "Data columns (total 9 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   MedInc       20640 non-null  float64\n",
      " 1   HouseAge     20640 non-null  float64\n",
      " 2   AveRooms     20640 non-null  float64\n",
      " 3   AveBedrms    20640 non-null  float64\n",
      " 4   Population   20640 non-null  float64\n",
      " 5   AveOccup     20640 non-null  float64\n",
      " 6   Latitude     20640 non-null  float64\n",
      " 7   Longitude    20640 non-null  float64\n",
      " 8   MedHouseVal  20640 non-null  float64\n",
      "dtypes: float64(9)\n",
      "memory usage: 1.4 MB\n"
     ]
    }
   ],
   "source": [
    "# YOUR CODE HERE\n",
    "housing_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "86bbad1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MedInc</th>\n",
       "      <th>HouseAge</th>\n",
       "      <th>AveRooms</th>\n",
       "      <th>AveBedrms</th>\n",
       "      <th>Population</th>\n",
       "      <th>AveOccup</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>MedHouseVal</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.870671</td>\n",
       "      <td>28.639486</td>\n",
       "      <td>5.429000</td>\n",
       "      <td>1.096675</td>\n",
       "      <td>1425.476744</td>\n",
       "      <td>3.070655</td>\n",
       "      <td>35.631861</td>\n",
       "      <td>-119.569704</td>\n",
       "      <td>2.068558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.899822</td>\n",
       "      <td>12.585558</td>\n",
       "      <td>2.474173</td>\n",
       "      <td>0.473911</td>\n",
       "      <td>1132.462122</td>\n",
       "      <td>10.386050</td>\n",
       "      <td>2.135952</td>\n",
       "      <td>2.003532</td>\n",
       "      <td>1.153956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.499900</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.846154</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.692308</td>\n",
       "      <td>32.540000</td>\n",
       "      <td>-124.350000</td>\n",
       "      <td>0.149990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.563400</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>4.440716</td>\n",
       "      <td>1.006079</td>\n",
       "      <td>787.000000</td>\n",
       "      <td>2.429741</td>\n",
       "      <td>33.930000</td>\n",
       "      <td>-121.800000</td>\n",
       "      <td>1.196000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.534800</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>5.229129</td>\n",
       "      <td>1.048780</td>\n",
       "      <td>1166.000000</td>\n",
       "      <td>2.818116</td>\n",
       "      <td>34.260000</td>\n",
       "      <td>-118.490000</td>\n",
       "      <td>1.797000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.743250</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>6.052381</td>\n",
       "      <td>1.099526</td>\n",
       "      <td>1725.000000</td>\n",
       "      <td>3.282261</td>\n",
       "      <td>37.710000</td>\n",
       "      <td>-118.010000</td>\n",
       "      <td>2.647250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>15.000100</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>141.909091</td>\n",
       "      <td>34.066667</td>\n",
       "      <td>35682.000000</td>\n",
       "      <td>1243.333333</td>\n",
       "      <td>41.950000</td>\n",
       "      <td>-114.310000</td>\n",
       "      <td>5.000010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             MedInc      HouseAge      AveRooms     AveBedrms    Population  \\\n",
       "count  20640.000000  20640.000000  20640.000000  20640.000000  20640.000000   \n",
       "mean       3.870671     28.639486      5.429000      1.096675   1425.476744   \n",
       "std        1.899822     12.585558      2.474173      0.473911   1132.462122   \n",
       "min        0.499900      1.000000      0.846154      0.333333      3.000000   \n",
       "25%        2.563400     18.000000      4.440716      1.006079    787.000000   \n",
       "50%        3.534800     29.000000      5.229129      1.048780   1166.000000   \n",
       "75%        4.743250     37.000000      6.052381      1.099526   1725.000000   \n",
       "max       15.000100     52.000000    141.909091     34.066667  35682.000000   \n",
       "\n",
       "           AveOccup      Latitude     Longitude   MedHouseVal  \n",
       "count  20640.000000  20640.000000  20640.000000  20640.000000  \n",
       "mean       3.070655     35.631861   -119.569704      2.068558  \n",
       "std       10.386050      2.135952      2.003532      1.153956  \n",
       "min        0.692308     32.540000   -124.350000      0.149990  \n",
       "25%        2.429741     33.930000   -121.800000      1.196000  \n",
       "50%        2.818116     34.260000   -118.490000      1.797000  \n",
       "75%        3.282261     37.710000   -118.010000      2.647250  \n",
       "max     1243.333333     41.950000   -114.310000      5.000010  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "18d37d1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MedInc         0\n",
       "HouseAge       0\n",
       "AveRooms       0\n",
       "AveBedrms      0\n",
       "Population     0\n",
       "AveOccup       0\n",
       "Latitude       0\n",
       "Longitude      0\n",
       "MedHouseVal    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "74f16b31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "to_chart = [\"MedInc\", \"HouseAge\", \"AveRooms\", \"AveBedrms\", \"Population\", \"AveOccup\"]\n",
    "\n",
    "# Determin relationship between extreme MEDHOUSVAL and other features\n",
    "extreme_highend_housing_df = housing_df[(housing_df['MedHouseVal'] >= 5)]\n",
    "extreme_highend_housing_df\n",
    "\n",
    "extreme_lowend_housing_df = housing_df[(housing_df['MedHouseVal'] <= 1)]\n",
    "\n",
    "\n",
    "# Explore features with histograms and PDFs on the same chart\n",
    "for feature in to_chart:\n",
    "    fig, ax = plt.subplots(figsize=(10, 4))\n",
    "    \n",
    "    # Plot histogram with density normalization\n",
    "    ax.hist(\n",
    "        extreme_highend_housing_df[feature],\n",
    "        bins=300,\n",
    "        density=True,\n",
    "        alpha=0.7,\n",
    "        label='High-end (MedHouseVal >= 5)',\n",
    "        color='green'\n",
    "    )\n",
    "    ax.hist(\n",
    "        housing_df[feature],\n",
    "        bins=300,\n",
    "        density=True,\n",
    "        alpha=0.4,\n",
    "        label='All Data',\n",
    "        color='blue'\n",
    "    )\n",
    "    ax.hist(\n",
    "        extreme_lowend_housing_df[feature],\n",
    "        bins=300,\n",
    "        density=True,\n",
    "        alpha=0.4,\n",
    "        label='Low-end (MedHouseVal <= 1)',\n",
    "        color='red'\n",
    "    )\n",
    "    \n",
    "    # Plot PDF for high-end subset\n",
    "    extreme_highend_housing_df[feature].plot(\n",
    "        kind='density',\n",
    "        ax=ax,\n",
    "        linewidth=2,\n",
    "        label='High-end PDF',\n",
    "        color='green',\n",
    "        alpha=0.5\n",
    "    )\n",
    "    # Plot PDF for full data\n",
    "    housing_df[feature].plot(\n",
    "        kind='density',\n",
    "        ax=ax,\n",
    "        linewidth=2,\n",
    "        label='All Data PDF',\n",
    "        color='blue',\n",
    "        alpha=0.5\n",
    "    )\n",
    "    # Plot PDF for low-end subset\n",
    "    extreme_lowend_housing_df[feature].plot(\n",
    "        kind='density',\n",
    "        ax=ax,\n",
    "        linewidth=2,\n",
    "        label='Low-end PDF',\n",
    "        color='red',\n",
    "        alpha=0.5\n",
    "    )\n",
    "    \n",
    "    ax.set_title(f\"Binned Count and PDF of {feature} -- Pre-modifications\")\n",
    "    ax.set_xlabel(feature)\n",
    "    ax.set_ylabel(\"Density\")\n",
    "    ax.legend()\n",
    "    plt.tight_layout()\n",
    "    plt.suptitle('Extreme High, Low, and All Data Values for MedHouseVal', y=1.02)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53d2f480",
   "metadata": {},
   "source": [
    "### Perform the following operations:\n",
    "- MedInc - 1.8715 to 11.1567 - Median Income\n",
    "- HouseAge - 2.0 to 52.0 - House Age\n",
    "- AveRooms - 2.942116 to 8.813167\t- Average num Rooms ---> Clip greater than 25 to 25\n",
    "- AveBedrms - 0.917840\tto 1.187970 - Average num Bedrooms ----> Clip greater than 5 to 5\n",
    "- Population -\t614.0 to 2212.0 - City Population ----> Clip greater than 10,000 to 10,000\n",
    "- AveOccup - 2.445110 to 4.776243 - Average num People in House  ----> Clip greater than 100 to 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b8abc003",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'California Housing Locations with Population Size')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x900 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# See if I can get the shape of Callifornia\n",
    "coords = housing_df[['Latitude', 'Longitude']].values\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.figure(figsize=(12, 9))\n",
    "scatter = plt.scatter(coords[:, 1], coords[:, 0], s=1000/housing_df['Population'], cmap='rainbow', alpha=0.6, c=housing_df['MedHouseVal'])\n",
    "plt.legend(*scatter.legend_elements(), title=\"MedHouseVal\")\n",
    "plt.colorbar(label='MedHouseVal')\n",
    "plt.title('California Housing Locations with Population Size')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ea50fc1b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "da4399a5",
   "metadata": {},
   "source": [
    "## Task 2: Apply your first feature engineering technique\n",
    "\n",
    "Based on your exploration, apply your first feature engineering technique.\n",
    "\n",
    "**Example approaches**:\n",
    "- Transform skewed features using log, sqrt, power, or quantile transformations\n",
    "- Create bins/categories from continuous variables\n",
    "- Create interaction features (e.g., rooms per household = total rooms / households)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "486021a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MedInc</th>\n",
       "      <th>HouseAge</th>\n",
       "      <th>AveRooms</th>\n",
       "      <th>AveBedrms</th>\n",
       "      <th>Population</th>\n",
       "      <th>AveOccup</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>MedHouseVal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.852856</td>\n",
       "      <td>28.639486</td>\n",
       "      <td>5.396687</td>\n",
       "      <td>1.089361</td>\n",
       "      <td>1421.004360</td>\n",
       "      <td>2.931212</td>\n",
       "      <td>35.631861</td>\n",
       "      <td>-119.569704</td>\n",
       "      <td>2.068558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.797798</td>\n",
       "      <td>12.585558</td>\n",
       "      <td>1.779327</td>\n",
       "      <td>0.285856</td>\n",
       "      <td>1071.514855</td>\n",
       "      <td>0.821141</td>\n",
       "      <td>2.135952</td>\n",
       "      <td>2.003532</td>\n",
       "      <td>1.153956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.200000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.846154</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.692308</td>\n",
       "      <td>32.540000</td>\n",
       "      <td>-124.350000</td>\n",
       "      <td>0.149990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.563400</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>4.440716</td>\n",
       "      <td>1.006079</td>\n",
       "      <td>787.000000</td>\n",
       "      <td>2.429741</td>\n",
       "      <td>33.930000</td>\n",
       "      <td>-121.800000</td>\n",
       "      <td>1.196000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.534800</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>5.229129</td>\n",
       "      <td>1.048780</td>\n",
       "      <td>1166.000000</td>\n",
       "      <td>2.818116</td>\n",
       "      <td>34.260000</td>\n",
       "      <td>-118.490000</td>\n",
       "      <td>1.797000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.743250</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>6.052381</td>\n",
       "      <td>1.099526</td>\n",
       "      <td>1725.000000</td>\n",
       "      <td>3.282261</td>\n",
       "      <td>37.710000</td>\n",
       "      <td>-118.010000</td>\n",
       "      <td>2.647250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>10.500000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>41.950000</td>\n",
       "      <td>-114.310000</td>\n",
       "      <td>5.000010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             MedInc      HouseAge      AveRooms     AveBedrms    Population  \\\n",
       "count  20640.000000  20640.000000  20640.000000  20640.000000  20640.000000   \n",
       "mean       3.852856     28.639486      5.396687      1.089361   1421.004360   \n",
       "std        1.797798     12.585558      1.779327      0.285856   1071.514855   \n",
       "min        1.200000      1.000000      0.846154      0.333333     10.000000   \n",
       "25%        2.563400     18.000000      4.440716      1.006079    787.000000   \n",
       "50%        3.534800     29.000000      5.229129      1.048780   1166.000000   \n",
       "75%        4.743250     37.000000      6.052381      1.099526   1725.000000   \n",
       "max       10.500000     52.000000     25.000000      5.000000  10000.000000   \n",
       "\n",
       "           AveOccup      Latitude     Longitude   MedHouseVal  \n",
       "count  20640.000000  20640.000000  20640.000000  20640.000000  \n",
       "mean       2.931212     35.631861   -119.569704      2.068558  \n",
       "std        0.821141      2.135952      2.003532      1.153956  \n",
       "min        0.692308     32.540000   -124.350000      0.149990  \n",
       "25%        2.429741     33.930000   -121.800000      1.196000  \n",
       "50%        2.818116     34.260000   -118.490000      1.797000  \n",
       "75%        3.282261     37.710000   -118.010000      2.647250  \n",
       "max       10.000000     41.950000   -114.310000      5.000010  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''Perform the following operations:\n",
    "- MedInc - 1.8715 to 11.1567 - Median Income\n",
    "- HouseAge - 2.0 to 52.0 - House Age\n",
    "- AveRooms - 2.942116 to 8.813167\t- Average num Rooms ---> Clip greater than 25 to 25\n",
    "- AveBedrms - 0.917840\tto 1.187970 - Average num Bedrooms ----> Clip greater than 5 to 5\n",
    "- Population -\t614.0 to 2212.0 - City Population ----> Clip greater than 10,000 to 10,000\n",
    "- AveOccup - 2.445110 to 4.776243 - Average num People in House  ----> Clip greater than 100 to 100\n",
    "'''\n",
    "\n",
    "housing_df['AveRooms'] = housing_df['AveRooms'].clip(upper=25)\n",
    "housing_df['AveBedrms'] = housing_df['AveBedrms'].clip(upper=5)\n",
    "housing_df['Population'] = housing_df['Population'].clip(lower= 10, upper=10000)       # Current Best is lower= 10, upper=10000\n",
    "housing_df['AveOccup'] = housing_df['AveOccup'].clip(upper=10)                         # Current Best is  upper=10\n",
    "housing_df['MedInc'] = housing_df['MedInc'].clip(lower= 1.2, upper=10.5)               # Current Best is lower= 1.2, upper=10.5\n",
    "\n",
    "housing_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4c957da8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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GDdLoWdWFm5sbqlSpgs2bNwNI643t2LFjhnNjHD58GNHR0ejVq5fGd6tMJkPdunXF79anT5/i0qVL6N+/PywsLMT9W7RogYoVK2YYR8eOHTP8Hhw/frxGPXXb3t7eGsPfq1SpghYtWmDfvn05On/g3b30u3btyvQ7Oyf/rhSW9y4RfX44vJyINNSpU0enidTGjx+PLVu24OzZs5g9e3amf5BlpmTJklpDcG/duoXr16/D2to6w30iIyM1nqdPmACIfySWLl06w/KoqCjxOAAyHcoNpCUrRYoUyfIcXFxc0Lx5c63y06dPZ7kfANy/fx92dnZafyBnNku8oaGh1nUpUqSIeE557cWLF0hISED58uW1tlWoUAEqlQoPHz6Em5ubmEifOnUKpUqVwsWLFzFr1ixYW1uLy6qdOnUK5ubmGpM+5cSePXswa9YsXLp0SeM+zIxmCn//fQFoXqsXL14gMTERLi4uWvXKly+v0x//169fx8WLF9GvXz/cvn1bLPfw8MCyZcsQGxsLc3Nznc7tQ6iH8Kb/kSksLAzTpk3DX3/9pXWrQ0xMjEYylRGVSoUlS5Zg+fLluHv3rsZ9qurh+VmxsrKCp6cndu7ciRUrVsDQ0BCbNm2Cnp4eunfvLta7evUqfvjhBxw7dkwrCdXlx4Hs3L59G4Ig4Mcff8SPP/6YYZ3IyEiULFkSM2bMQMeOHVGuXDlUqlQJrVq1Qt++fVGlSpUcHzcnnx21jFaM0EXv3r2xYMECjB49Gn/++afWvcxq6u88daL5PvV79f79+wCQ6Wcjox9dSpUqleH34KNHjzSeq9vO7LocPHhQp0nk0uvRowdWr14NX19fTJo0Cc2aNUOXLl3w9ddfiz8c5eTflcLy3iWizw+TbiLKlTt37oh/yKknL8uJ9D0FaiqVCpUrV8bChQsz3Of9ZDqznqHMyoW3k3qpe0Tmz5+f6XJmH2ON25zIaS/Yx1SiRAk4ODjg5MmTsLe3hyAIqFevHqytrfHdd9/h/v37OHXqFOrXry/+IZwTp06dQocOHdC4cWMsX74cdnZ20NfXR2BgYIaTHmX3+ueFDRs2AABGjx6N0aNHa20PDg7WGsmRH/79918A736siYiIQLNmzeDq6oqFCxeidOnSMDAwwL59+7Bo0SKdRnDMnj0bP/74IwYMGICZM2eiaNGikEqlGDVqlM7L3vXp0wd79uzBnj170KFDBwQHB4v30ANpE/C5u7vD3NwcM2bMgJOTEwwNDXHhwgVMnDgxy+NktiTb+5NYqdsYN25cpiMY1NetcePGiIiIwK5du3Do0CGsXr0aixYtwooVK+Dr66vTOX+IjL4PddGrVy9MnjwZgwYNgpWVFVq2bJlhPfW1WL9+fYaTGeZklNLHoOtrbGRkhJMnT+L48ePYu3cvDhw4gK1bt6Jp06Y4dOgQZDJZjv9dyc/3LhF9uQrXtywRfRJUKhW8vb1hbm6OUaNGYfbs2fj666/RpUsXsU5u1ip2cnJCeHg4mjVrludrHb9/HCCtdyejHpqPoWzZsjh+/LjWUmnpe00LkrW1NYyNjcUh4+n9999/kEqlGn+sNmrUCCdPnoSDgwOqVasGMzMzVK1aFRYWFjhw4AAuXLgAPz+/XMUSHBwMQ0NDHDx4EHK5XCwPDAzMVXvW1tYwMjLKcChxRuf7PkEQsGnTJjRp0gRDhw7V2j5z5kxs3Lgx35NupVKJTZs2wdjYGA0bNgQA7N69G8nJyfjjjz80evzfvzUDyPwzun37djRp0gQBAQEa5dHR0ShWrJhOsXXo0AFmZmbYtGkT9PX1ERUVpTE8NzQ0FK9evcKOHTvQuHFjsfzu3bvZtq0egRIdHa1Rru5JVVMP7dbX19fpc160aFH4+PjAx8cHcXFxaNy4MaZPn57jpDunn50PUaZMGTRo0AChoaEYMmRIpsmz+jvPxsYmy2uhno09t5+NrKjbzuy6FCtWTOzlLlKkiNbrC2i/xkDabTnNmjVDs2bNsHDhQsyePRtTpkzB8ePHxVtNcvLvSn6+d4noy8V7uokoxxYuXIg///wTq1atwsyZM1G/fn0MGTJEYwZb9R9PGf3hlJnu3bvj8ePH+O2337S2JSYm6jyrb3Zq1qwJJycn/PzzzxnOsKteezc/eXp6IiUlReNcVSoVli1blu/H1oVMJkPLli2xa9cujeXWnj9/jk2bNqFhw4Yaw6cbNWqEe/fuYevWreJwc6lUivr162PhwoVISUnJ9f3cMpkMEolEo5fr3r17WrPZ56Q9T09PhISE4MGDB2L59evXcfDgwWz3DwsLw7179+Dj44Ovv/5a69GjRw8cP34cT548yVV8ulAqlRg5ciSuX7+OkSNHiq+Fupc/fa9+TExMhj9QmJiYZPj5lMlkWqMCfv/9d/H+Z10YGRmhc+fO2LdvH/z9/WFiYoKOHTtqHOP9OBUKBZYvX55t22XLloVMJsPJkyc1yt/f18bGBh4eHli5ciWePn2q1U76z/mrV680tpmamsLZ2VlrqUJd5PSz86FmzZqFadOmYcSIEZnW8fT0hLm5OWbPno2UlBSt7eprYWdnh2rVqmHt2rUaw6QPHz6Ma9eufVCc6dtO/777999/cejQIbRp00Ysc3JyQkxMDC5fviyWPX36VGvpstevX2sdRz16Sf3a5fTflfx87xLRl4s93USkYf/+/RlOBFO/fn04Ojri+vXr+PHHH+Ht7Y327dsDSFs+pVq1ahg6dCi2bdsGIO2PJktLS6xYsQJmZmYwMTFB3bp1s7x3sW/fvti2bRu+/fZbHD9+HA0aNIBSqcR///2Hbdu24eDBgzrdb54dqVSK1atXo3Xr1nBzc4OPjw9KliyJx48f4/jx4zA3N8fu3bs/+DhZ6dSpE+rUqYOxY8fi9u3bcHV1xR9//CH+EZnbnn5vb2+sXbsWd+/e1Wn5nTVr1mS4vNB3332HWbNmiWvgDh06FHp6eli5ciWSk5Pxv//9T6O+OqG+ceMGZs+eLZY3btwY+/fvh1wuF9duVwsNDUWTJk0wbdo0TJ8+PdMY27Zti4ULF6JVq1bo3bs3IiMjsWzZMjg7O2v8UZ4Tfn5+OHDgABo1aoShQ4ciNTUVv/76K9zc3LJtc+PGjZDJZFpLlal16NABU6ZMwZYtWzBmzJhcxZdeTEyMOJw9ISEBt2/fxo4dOxAREYGePXti5syZYt2WLVvCwMAA7du3xzfffIO4uDj89ttvsLGx0Uo8a9asCX9/f8yaNQvOzs6wsbFB06ZN0a5dO8yYMQM+Pj6oX78+rly5go0bN2pMCqaLPn36YN26dTh48CC8vLw07tWtX78+ihQpgv79+2PkyJGQSCRYv369TrcAWFhYoFu3bvj1118hkUjg5OSEPXv2aM35AKRNDNmwYUNUrlwZgwYNgqOjI54/f46//voLjx49Etcer1ixIjw8PFCzZk0ULVoU//zzD7Zv347hw4fn6JzVcvLZ+VDu7u5wd3fPso65uTn8/f3Rt29f1KhRAz179oS1tTUePHiAvXv3okGDBli6dCmAtKUX27Zti4YNG2LAgAF4/fq1+NnI6EfKnJg/fz5at26NevXqYeDAgeKSYRYWFhrfAT179sTEiRPRuXNnjBw5UlzerFy5chr3lc+YMQMnT55E27ZtUbZsWURGRmL58uUoVaqUOPojN/+u5Nd7l4i+YAUzaToRFTZZLRmGt8vwpKamCrVr1xZKlSqlsZyMIAjCkiVLBADC1q1bxbJdu3YJFStWFPT09DSW8slqGSSFQiHMmzdPcHNzE+RyuVCkSBGhZs2agp+fnxATEyPWAyAMGzZMY9/Mlu9RLzH0+++/a5RfvHhR6NKli2BlZSXI5XKhbNmyQvfu3YWjR49mea0yO46aelmbrJYMEwRBePHihdC7d2/BzMxMsLCwELy9vYWwsDABgLBlyxaNfdMv//P+cdLr2rWrYGRkJERFRWV5Dtm93g8fPhQEQRAuXLggeHp6CqampoKxsbHQpEkT4c8//8ywTRsbGwGA8Pz5c7Hs9OnTAgChUaNGWvV3796d4dJxGQkICBBcXFwEuVwuuLq6CoGBgRmef0bvC0EQhLJlywr9+/fXKDtx4oRQs2ZNwcDAQHB0dBRWrFiRYZvpKRQKwcrKKsPzSc/BwUGoXr26IAgfvmRY+tfF1NRUcHFxEfr06SMcOnQow33++OMPoUqVKoKhoaFgb28vzJs3T1izZo3GsnmCkLZcVNu2bQUzMzMBgLh8WFJSkjB27FjBzs5OMDIyEho0aCD89ddfgru7e4ZLjGUmNTVVsLOzEwAI+/bt09oeFhYmfPXVV4KRkZFQokQJYcKECcLBgwd1ulYvXrwQunbtKhgbGwtFihQRvvnmG3EJrfeXKYyIiBD69esn2NraCvr6+kLJkiWFdu3aCdu3bxfrzJo1S6hTp45gaWkpGBkZCa6ursJPP/0kKBSKLM8xq+8CXT47uizdp+vx0svsO+P48eOCp6enYGFhIRgaGgpOTk6Ct7e38M8//2jUCw4OFipUqCDI5XKhYsWKwo4dOzJ8HTL7vGV1bkeOHBEaNGggGBkZCebm5kL79u2Fa9euae1/6NAhoVKlSoKBgYFQvnx5YcOGDVqfz6NHjwodO3YUSpQoIRgYGAglSpQQevXqJdy8eVOjLV3/XVHLz/cuEX2ZJILAn+aIiAqLkJAQdO7cGadPn0aDBg1yvH/x4sXRr18/zJ8/Px+iy1sTJkzA5s2bcfv2bY17tYmIiIg+J7ynm4iogCQmJmo8VyqV+PXXX2Fubo4aNWrkuL2rV68iMTEREydOzKsQ89Xx48fx448/MuEmIiKizxp7uomICoivry8SExNRr149JCcnY8eOHfjzzz8xe/ZsTJ48uaDDIyIiIqI8wKSbiKiAbNq0CQsWLMDt27eRlJQEZ2dnDBkyJNeTNxERERFR4cOkm4iIiIiIiCif8J5uIiIiIiIionzCpJuIiIiIiIgonzDpJiIiIiIiIsonTLqJiIiIiIiI8gmTbiIqMBKJBNOnTy/oMLIUGhoKiUSC0NDQgg7lszd9+nRIJJKCDuOjmD9/PhwdHSGTyVCtWrWCDqfAeXt7w97evqDDoCx8qp9PDw8PeHh4iM/v3bsHiUSCoKCgfD3up3q9iCh/MOkmojwTFBQEiUSi8bCxsUGTJk2wf//+gg7vo4iIiMA333wDR0dHGBoawtzcHA0aNMCSJUuQmJhY0OEBAJYvX57vf3DmJ29vb433mLm5OapWrYoFCxYgOTlZrKf+o1f9MDY2RpkyZdC+fXsEBgZq1M2s7fSPAwcO5En8hw4dwoQJE9CgQQMEBgZi9uzZOu3XvXt3SCQSTJw4MU/iyIo6MXn/OlerVg1Lly6FUqnM9xg+R+9fV5lMhjJlyqBz5864dOlSvhyzMHzeC0MMREQFSa+gAyCiz8+MGTPg4OAAQRDw/PlzBAUFoU2bNti9ezfatWsn1ktMTISe3ufzNbR3715069YNcrkc/fr1Q6VKlaBQKHD69GmMHz8eV69exapVqwo6TCxfvhzFihWDt7d3QYeSa3K5HKtXrwYAREdHIzg4GOPGjcO5c+ewZcsWjbr+/v4wNTVFcnIyHj9+jIMHD2LAgAFYvHgx9uzZg9KlS2fadnpVq1bNk9iPHTsGqVSKgIAAGBgY6LRPbGwsdu/eDXt7e2zevBlz5879KL1ovXr1Qps2bQAAMTEx2LdvH0aMGIH79+9j/vz5+X78z5X6uiqVSly/fh3+/v7Yv38//v777zwf+VAYPu+FIQa1smXLIjExEfr6+vl6nB9++AGTJk3K12MQ0afj8/lrl4gKjdatW6NWrVri84EDB6J48eLYvHmzRtJtaGhYEOHli7t376Jnz54oW7Ysjh07Bjs7O3HbsGHDcPv2bezdu7cAI/y86OnpoU+fPuLzoUOHom7duti6dSsWLlyIEiVKiNu+/vprFCtWTHw+depUbNy4Ef369UO3bt3w999/Z9l2XouMjISRkZHOCTcABAcHQ6lUYs2aNWjatClOnjwJd3f3fItRrUaNGhle502bNn30pDs1NRUqlSpH162wev+6NmjQAB06dIC/vz9WrlxZgJF9/iQSyUf5t0dPT++z+lGZiD4Mh5cTUb6ztLSEkZGR1h8g79/TrR4OfPv2bXh7e8PS0hIWFhbw8fFBQkKC1r7Dhw9HSEgIKlWqBLlcDjc3twyHAD9+/BgDBgxA8eLFxXpr1qzRqvfo0SN06tQJJiYmsLGxwejRozMcgpyR//3vf4iLi0NAQIBGwq3m7OyM7777TnyempqKmTNnwsnJCXK5HPb29vj++++1jpfZfe/29vYavUbqof1hYWEYM2YMrK2tYWJigs6dO+PFixca+129ehUnTpwQh7imv98xIz///DPq168PKysrGBkZoWbNmti+fbtWvZy8JqdPn0bt2rVhaGgIJyenD040pFKpeB737t3Ltr6Xlxd8fX1x5swZHD58+IOOrabLayqRSBAYGIj4+Hjx+usy7Hbjxo1o0aIFmjRpggoVKmDjxo3itn/++QcSiQRr167V2u/gwYOQSCTYs2ePWKbr5yEjEokExYsXzzCZ2L9/Pxo1agQTExOYmZmhbdu2uHr1qlY99fvD0NAQlSpVws6dO7XqqIdh//zzz1i8eLF4Ta9duyZ+T9y8eRN9+vSBhYUFrK2t8eOPP0IQBDx8+BAdO3aEubk5bG1tsWDBAq32f/31V7i5ucHY2BhFihRBrVq1sGnTJp2uQX5o2rQpgLQf79R+//131KxZE0ZGRihWrBj69OmDx48fa+z37Nkz+Pj4oFSpUpDL5bCzs0PHjh3Fz0BuPu+A7p/PwMBANG3aFDY2NpDL5ahYsSL8/f016mQVw+vXrzFu3DhUrlwZpqamMDc3R+vWrREeHq7jlQM2bNiAOnXqiK9l48aNcejQoUzrZ3RPt7e3N0xNTXHnzh14enrCxMQEJUqUwIwZMyAIgta+P//8MxYtWoSyZcvCyMgI7u7u+PfffzWOk9E93Tn5jgwNDUWtWrU0XgPeJ0706eJPcESU52JiYvDy5UsIgoDIyEj8+uuviIuL07n3sHv37nBwcMCcOXNw4cIFrF69GjY2Npg3b55GvdOnT2PHjh0YOnQozMzM8Msvv6Br16548OABrKysAADPnz/HV199Jf6xY21tjf3792PgwIGIjY3FqFGjAKQNdW/WrBkePHiAkSNHokSJEli/fj2OHTumU8y7d++Go6Mj6tevr1N9X19frF27Fl9//TXGjh2LM2fOYM6cObh+/XqGSYiuRowYgSJFimDatGm4d+8eFi9ejOHDh2Pr1q0AgMWLF2PEiBEwNTXFlClTAADFixfPss0lS5agQ4cO8PLygkKhwJYtW9CtWzfs2bMHbdu21airy2ty5coVtGzZEtbW1pg+fTpSU1Mxbdq0bOPITkREBACIx8lO3759sWrVKhw6dAgtWrTQ2Pby5UuN5/r6+rCwsMiyPV1e0/Xr12PVqlU4e/asOIQ9u/fMkydPcPz4cTGp7tWrFxYtWoSlS5fCwMAAtWrVgqOjI7Zt24b+/ftr7Lt161YUKVIEnp6eAHT/PKglJCSI1yI2Nhb79+/HgQMHMHnyZI1669evR//+/eHp6Yl58+YhISEB/v7+aNiwIS5evChOknbo0CF07doVFStWxJw5c/Dq1SsxacxIYGAgkpKSMHjwYMjlchQtWlTc1qNHD1SoUAFz587F3r17MWvWLBQtWhQrV65E06ZNMW/ePGzcuBHjxo1D7dq10bhxYwDAb7/9hpEjR+Lrr7/Gd999h6SkJFy+fBlnzpxB7969s3wt8sv7792goCD4+Pigdu3amDNnDp4/f44lS5YgLCwMFy9ehKWlJQCga9euuHr1KkaMGAF7e3tERkbi8OHDePDgAezt7XP1ec/J59Pf3x9ubm7o0KED9PT0sHv3bgwdOhQqlQrDhg0DkPV3zp07dxASEoJu3brBwcEBz58/x8qVK+Hu7o5r165pjFjJiJ+fH6ZPn4769etjxowZMDAwwJkzZ3Ds2DG0bNlSx6ufRqlUolWrVvjqq6/wv//9DwcOHMC0adOQmpqKGTNmaNRdt24d3rx5g2HDhiEpKQlLlixB06ZNceXKlWyvry7fkRcvXkSrVq1gZ2cHPz8/KJVKzJgxA9bW1jk6JyIqRAQiojwSGBgoANB6yOVyISgoSKs+AGHatGni82nTpgkAhAEDBmjU69y5s2BlZaW1r4GBgXD79m2xLDw8XAAg/Prrr2LZwIEDBTs7O+Hly5ca+/fs2VOwsLAQEhISBEEQhMWLFwsAhG3btol14uPjBWdnZwGAcPz48UzPOyYmRgAgdOzYMdM66V26dEkAIPj6+mqUjxs3TgAgHDt2TOM8018jtbJlywr9+/cXn6uvffPmzQWVSiWWjx49WpDJZEJ0dLRY5ubmJri7u+sUqyAI4jVSUygUQqVKlYSmTZtqlOv6mnTq1EkwNDQU7t+/L5Zdu3ZNkMlkgi7/LPXv318wMTERXrx4Ibx48UK4ffu2MHv2bEEikQhVqlQR66nfTy9evMiwnaioKAGA0LlzZ422M3oPZ3e9cvKaquPX1c8//ywYGRkJsbGxgiAIws2bNwUAws6dO8U6kydPFvT19YXXr1+LZcnJyYKlpaXG50nXz8Pdu3czvA4AhCFDhmi8x968eSNYWloKgwYN0mjz2bNngoWFhUZ5tWrVBDs7O43346FDhwQAQtmyZcUy9fHNzc2FyMhIjXbVr+vgwYPFstTUVKFUqVKCRCIR5s6dK5ZHRUUJRkZGGp+Vjh07Cm5ubtoX+iNQn5efn5/w4sUL4dmzZ0JoaKhQvXp1AYAQHBwsKBQKwcbGRqhUqZKQmJgo7rtnzx4BgDB16lRBEN69f+fPn5/lMXP6ec/J5/P97wZBEARPT0/B0dFRpxiSkpIEpVKpUXb37l1BLpcLM2bMyDLOW7duCVKpVOjcubNWG+nfn+7u7hrHVr8GgYGBYpn6cz9ixAiNNtq2bSsYGBiI3yHqfY2MjIRHjx6Jdc+cOSMAEEaPHi2Wqd+n6en6Hdm+fXvB2NhYePz4scb56unp6fQdSUSFD4eXE1GeW7ZsGQ4fPozDhw9jw4YNaNKkCXx9fbFjxw6d9v/22281njdq1AivXr1CbGysRnnz5s3h5OQkPq9SpQrMzc1x584dAIAgCAgODkb79u0hCAJevnwpPjw9PRETE4MLFy4AAPbt2wc7Ozt8/fXXYnvGxsYYPHhwtvGq4zIzM9Pp/Pbt2wcAGDNmjEb52LFjAeCD7v0ePHiwxvDDRo0aQalU4v79+7lu08jISPz/qKgoxMTEoFGjRuK1Sy+710SpVOLgwYPo1KkTypQpI9arUKGC2Buri/j4eFhbW8Pa2hrOzs74/vvvUa9evRyNEjA1NQUAvHnzRqPc0NBQfP+qHxkNUU4vP1/TjRs3om3btuL7y8XFBTVr1tQYYt6jRw+kpKRofMYOHTqE6Oho9OjRA0DOPg9qgwcPFq9BcHAwhg0bhpUrV2qc5+HDhxEdHY1evXpptCmTyVC3bl0cP34cAPD06VNcunQJ/fv31xg10KJFC1SsWDHDc+/atWumvXu+vr7i/8tkMtSqVQuCIGDgwIFiuaWlJcqXLy++/9Rljx49wrlz5zK54vlv2rRpsLa2hq2tLTw8PBAREYF58+ahS5cu+OeffxAZGYmhQ4dq3Hvctm1buLq6iu8l9bwAoaGhiIqKypO4cvr5TP/doB7h5O7ujjt37iAmJibb48nlckilUvHYr169gqmpKcqXL5/h90t6ISEhUKlUmDp1qtiGWm6HYA8fPlyjjeHDh0OhUODIkSMa9Tp16oSSJUuKz+vUqYO6deuK3wNZ0eU78siRI+jUqZNGT7+zszNat26dq/MiooLH4eVElOfq1KmjMZFar169UL16dQwfPhzt2rXLdiKk9H/sAUCRIkUApCV85ubmmdZT11X/AfrixQtER0dj1apVmc4aHhkZCQC4f/8+nJ2dtf5YK1++fJaxAhBjej95y8z9+/chlUrh7OysUW5rawtLS8sPSpCzuna5tWfPHsyaNQuXLl3Suj85u+OrY0j/miQmJsLFxUWrXvny5XX6oxVIS4x3794NIO0PdwcHh0yHKGcmLi4OgPaPJTKZDM2bN89RW/n1ml6/fh0XL15Ev379cPv2bbHcw8MDy5YtQ2xsrLhkmqurK7Zu3SomnVu3bkWxYsXE+4Vz8nlQc3Fx0bgWXbp0gUQiweLFizFgwABUrlwZt27dAvDuvuT3qT8f6muQ2WufUZLl4OCQ8YWB9nvNwsIChoaGGpPmqctfvXolPp84cSKOHDmCOnXqwNnZGS1btkTv3r3RoEGDTI8FpN0//X67BgYGGnMmAEDRokWz/Y4bPHgwunXrBqlUCktLS7i5uUEulwN4d50y+u5xdXXF6dOnAaS97+fNm4exY8eiePHi+Oqrr9CuXTv069cPtra2WR5fqVRmGPfr169z9PkMCwvDtGnT8Ndff2nNuxETE5PtLRkqlQpLlizB8uXLcffuXY2l6LK7TSQiIgJSqTTTH2xySiqVwtHRUaOsXLlyALTnicjo+pQrVw7btm3L9jjZfUdGRkYiMTFR67sEQIZlRPRpYNJNRPlOKpWiSZMmWLJkCW7dugU3N7cs68tksgzLhXQT2uhST6VSAQD69Omjda+rWpUqVbKMRRfm5uYoUaKE1kQ62fmQCXEyWydZ12unq1OnTqFDhw5o3Lgxli9fDjs7O+jr6yMwMDDDiafy+viZyU1i/D7165WXf8jm9SRHGzZsAACMHj0ao0eP1toeHBwMHx8fAGm93T/99BNevnwJMzMz/PHHH+jVq5c46VlefR6aNWuGpUuX4uTJk6hcubLY7vr16zNM9j5kBuf0Panvy+i9psv7r0KFCrhx4wb27NmDAwcOIDg4GMuXL8fUqVPh5+eX6fHenyAxMDAQHh4eWj8MHD9+PNvJyt7/MSO3Ro0ahfbt2yMkJAQHDx7Ejz/+iDlz5uDYsWOoXr16pvs9fPgww7hdXV11PnZERASaNWsGV1dXLFy4EKVLl4aBgQH27duHRYsWie+LrMyePRs//vgjBgwYgJkzZ6Jo0aKQSqUYNWqUTvt/ij7WdyQRFS5Muonoo0hNTQXwrnfxY7C2toaZmRmUSmW2f+CWLVsW//77LwRB0Eicbty4odOx2rVrh1WrVuGvv/5CvXr1sj2WSqXCrVu3UKFCBbH8+fPniI6ORtmyZcWyIkWKIDo6WmN/hUKBp0+f6hRXRnKSGAYHB8PQ0BAHDx4Ue+KAtIQjN6ytrWFkZCT2jqan67XOK+vXrweAHA1rz0xOXlNdCYKATZs2oUmTJhg6dKjW9pkzZ2Ljxo0aSbefnx+Cg4NRvHhxxMbGomfPnmL9nHwesvL+Z1k9VNbGxibLdtXXoDC89iYmJujRowd69OgBhUKBLl264KeffsLkyZMzXU7q/Vnu3dzcUKRIEa3yD13PXX2dbty4oTV64MaNG1rvJScnJ4wdOxZjx47FrVu3UK1aNSxYsED8wSajz7utrW2GcZubm+v8+dy9ezeSk5Pxxx9/aPTeqm8nSC+z75zt27ejSZMmCAgI0CiPjo7WGrHwPicnJ6hUKly7di1P1jZXqVS4c+eO2LsNADdv3gQAcSJAtYyuz82bN7Xq5YaNjQ0MDQ01RraoZVRGRJ8G3tNNRPkuJSUFhw4dgoGBgUZCkt9kMhm6du2K4ODgDHuh0w+vbNOmDZ48eaKxFFZCQkKmw3DfN2HCBJiYmMDX1xfPnz/X2h4REYElS5aIxwLSZvVNb+HChQCgMSO4k5MTTp48qVFv1apVmfZ068LExEQrkc+MTCaDRCLRON69e/cQEhKSq2PLZDJ4enoiJCQEDx48EMuvX7+OgwcP5qrN3Ni0aRNWr16NevXqoVmzZh/cXk5eU12FhYXh3r178PHxwddff6316NGjB44fP44nT54ASOvBrVy5MrZu3YqtW7fCzs5OnLEbyNnnISvqYf3q5NLT0xPm5uaYPXs2UlJSMm3Xzs4O1apVw9q1azXu9z18+DCuXbum41X5cOmHmgOAgYEBKlasCEEQMoxfrXnz5hoPOzs7GBoaapWrb+nIrVq1asHGxgYrVqzQuJ1j//79uH79uvheSkhIQFJSksa+Tk5OMDMz09gvo897ZnHn5POp7rFN30MbExOT4Q9ymX3nyGQyrR7e33//XWtptIx06tQJUqkUM2bM0OoVz22v8dKlSzXaWLp0KfT19bW+I0JCQjRiPHv2LM6cOZMn91yrR/GEhISIn20gLeHev3//B7dPRAWDPd1ElOf279+P//77D0Da/WmbNm3CrVu3MGnSJI17sj+GuXPn4vjx46hbty4GDRqEihUr4vXr17hw4QKOHDmC169fAwAGDRqEpUuXol+/fjh//jzs7Oywfv16GBsb63QcJycnbNq0SVzGqF+/fqhUqRIUCgX+/PNP/P777+K62lWrVkX//v2xatUqREdHw93dHWfPnsXatWvRqVMnNGnSRGzX19cX3377Lbp27YoWLVogPDwcBw8ezLYXKCs1a9aEv78/Zs2aBWdnZ9jY2GR6P27btm2xcOFCtGrVCr1790ZkZCSWLVsGZ2dnXL58OVfH9/Pzw4EDB9CoUSMMHToUqamp4rrJuW0zK9u3b4epqSkUCgUeP36MgwcPIiwsDFWrVsXvv/+eJ8fIyWuqq40bN0Imk2WasHfo0AFTpkzBli1bxInNevTogalTp8LQ0BADBw7UmmBK18+D2oULF8Qe0zdv3uDo0aMIDg5G/fr1xSWZzM3N4e/vj759+6JGjRro2bMnrK2t8eDBA+zduxcNGjQQk5k5c+agbdu2aNiwIQYMGIDXr1+Lr/3HGgXTsmVL2NraokGDBihevDiuX7+OpUuXakxWV5D09fUxb948+Pj4wN3dHb169RKXDLO3txdvM7h58yaaNWuG7t27o2LFitDT08POnTvx/PlzjREOOfm8A7p/Plu2bAkDAwO0b98e33zzDeLi4vDbb7/BxsZGayROZjG0a9cOM2bMgI+PD+rXr48rV65g48aNWvdWZ8TZ2RlTpkzBzJkz0ahRI3Tp0gVyuRznzp1DiRIlMGfOnBxdd0NDQxw4cAD9+/dH3bp1sX//fuzduxfff/+91mR+zs7OaNiwIYYMGYLk5GQsXrwYVlZWmDBhQo6OmZnp06fj0KFDaNCgAYYMGQKlUomlS5eiUqVKuHTpUp4cg4g+so89XToRfb4yWjLM0NBQqFatmuDv76+xjIsgZL5k2PtLPKnbvXv3rsa+w4YN04rh/aW0BEEQnj9/LgwbNkwoXbq0oK+vL9ja2grNmjUTVq1apVHv/v37QocOHQRjY2OhWLFiwnfffSccOHAg2yXD0rt586YwaNAgwd7eXjAwMBDMzMyEBg0aCL/++quQlJQk1ktJSRH8/PwEBwcHQV9fXyhdurQwefJkjTqCIAhKpVKYOHGiUKxYMcHY2Fjw9PQUbt++nemSYefOndPY//jx41rxP3v2TGjbtq1gZmam03JYAQEBgouLiyCXywVXV1chMDAw0+VwdH1NTpw4IdSsWVMwMDAQHB0dhRUrVmTYZkZ0XXJL3V7692KpUqWEdu3aCWvWrNG61jlpOyO6vqa6HEOhUAhWVlZCo0aNsqzn4OAgVK9eXXx+69Yt8XxPnz6d4T66fB4yWjJMT09PcHR0FMaPHy+8efNGq93jx48Lnp6egoWFhWBoaCg4OTkJ3t7ewj///KNRLzg4WKhQoYIgl8uFihUrCjt27BD69++f4ZJhGS2Hldn3RGbX1d3dXWOJsJUrVwqNGzcWrKysBLlcLjg5OQnjx48XYmJiMrxeeSmr83rf1q1bherVqwtyuVwoWrSo4OXlpbFM1cuXL4Vhw4YJrq6ugomJiWBhYSHUrVtXY9lDQcj5510QdP98/vHHH0KVKlUEQ0NDwd7eXpg3b56wZs0are/rzGJISkoSxo4dK9jZ2QlGRkZCgwYNhL/++ktrma+srFmzRrxORYoUEdzd3YXDhw+L23VdMszExESIiIgQWrZsKRgbGwvFixcXpk2bprEcWfrXb8GCBULp0qUFuVwuNGrUSAgPD9eI60O/I48ePSpUr15dMDAwEJycnITVq1cLY8eOFQwNDXW6LkRUuEgEgTM3EBEREdGXydvbG9u3b892tMW9e/fg4OCA+fPnY9y4cR8punc6deqEq1evZnhPOREVbrynm4iIiIioEElMTNR4fuvWLezbty/bmfGJqHDiPd1ERERERIWIo6MjvL294ejoiPv378Pf3x8GBgZ5dt84EX1cTLqJiIiIiAqRVq1aYfPmzXj27Bnkcjnq1auH2bNnw8XFpaBDI6Jc4D3dRERERERERPmE93QTERERERER5RMm3URERERERET55JO+p1ulUuHJkycwMzODRCIp6HCIiIiIiIjoCyEIAt68eYMSJUpAKs28P/uTTrqfPHmC0qVLF3QYRERERERE9IV6+PAhSpUqlen2TzrpNjMzA5B2kubm5gUcDREREREREX0pYmNjUbp0aTEvzcwnnXSrh5Sbm5sz6SYiIiIiIqKPLrtbnTmRGhEREREREVE+YdJNRERERERElE+YdBMRERERERHlk0/6nm4iIiIiorymUqmgUCgKOgwiKmD6+vqQyWQf3A6TbiIiIiKitxQKBe7evQuVSlXQoRBRIWBpaQlbW9tsJ0vLCpNuIiIiIiIAgiDg6dOnkMlkKF26NKRS3olJ9KUSBAEJCQmIjIwEANjZ2eW6LSbdREREREQAUlNTkZCQgBIlSsDY2LigwyGiAmZkZAQAiIyMhI2NTa6HmvPnOyIiIiIiAEqlEgBgYGBQwJEQUWGh/gEuJSUl120w6SYiIiIiSudD7t0kos9LXnwfMOkmIiIiIiIiyidMuomIiIiIvgBBQUGwtLTM0T7e3t7o1KlTvsSTGx4eHhg1alS29Ro3boxNmzblf0DpTJ8+HdWqVfuoxyxMcvP+Kmg9e/bEggUL8v04nEiNiIiIiCgL7Te3/6jH291rd47qe3t7Izo6GiEhIRrloaGhaNKkCaKiomBpaYkePXqgTZs2eRhp4fTHH3/g+fPn6Nmzp1hmb2+P+/fvY/PmzRrlAODm5oZr164hMDAQ3t7eeRbH9OnTERISgkuXLmmU37t3Dw4ODrh48WKhSNKDg4PRvXt3PHjwACVLltTa7uLigvbt22PhwoUFEF3uqd//73v69ClsbW0BAD/88AMaN24MX19fWFhY5Fss7OkmIvqEfOw//IiI6PNhZGQEGxubgg4j3/3yyy/w8fHRWvKtdOnSCAwM1Cj7+++/8ezZM5iYmHzMEAuVDh06wMrKCmvXrtXadvLkSdy+fRsDBw7Mk2M9ePAgT9rJiRs3buDp06fiI/1noFKlSnBycsKGDRvyNQYm3UREREREX4CMhv/OmjULNjY2MDMzg6+vLyZNmpRh7+vPP/8MOzs7WFlZYdiwYdnO5BwdHQ1fX19YW1vD3NwcTZs2RXh4uLhdPRR7/fr1sLe3h4WFBXr27Ik3b96IdeLj49GvXz+YmprCzs5Op2HAL168wLFjx9C+vfaP1F5eXjhx4gQePnwolq1ZswZeXl7Q09McAJxd/AAwd+5cFC9eHGZmZhg4cCCSkpKyjS8zJ06cQJ06dSCXy2FnZ4dJkyYhNTVV3G5vb4/Fixdr7FOtWjVMnz4dQNqa0tOnT0eZMmUgl8tRokQJjBw5UqybnJyMcePGoWTJkjAxMUHdunURGhoKANDX10ffvn0RFBSkFdeaNWtQt25duLm5YeHChahcuTJMTExQunRpDB06FHFxcTk6T3d3d3z11Vfw9/dHVFRUjvbNLRsbG9ja2oqP93+Mad++PbZs2ZKvMTDpJiIiIiL6Am3cuBE//fQT5s2bh/Pnz6NMmTLw9/fXqnf8+HFERETg+PHjWLt2LYKCgjJM0NLr1q0bIiMjsX//fpw/fx41atRAs2bN8Pr1a7FOREQEQkJCsGfPHuzZswcnTpzA3Llzxe3jx4/HiRMnsGvXLhw6dAihoaG4cOFClsc9ffo0jI2NUaFCBa1txYsXh6enp9ijm5CQgK1bt2LAgAE5jn/btm2YPn06Zs+ejX/++Qd2dnZYvnx5lrFl5vHjx2jTpg1q166N8PBw+Pv7IyAgALNmzdK5jeDgYCxatAgrV67ErVu3EBISgsqVK4vbhw8fjr/++gtbtmzB5cuX0a1bN7Rq1Qq3bt0CAAwcOBC3bt3CyZMnxX3i4uKwfft2sZdbKpXil19+wdWrV7F27VocO3YMEyZMyNG5njx5Eh06dMAvv/wCOzs7dO/eHXv37hWX60vv1KlTMDU1zfKxcePGbI9ZrVo12NnZoUWLFggLC9PaXqdOHZw9exbJyck5Opec4D3dRERERESfuD179sDU1FSjLKNEJr1ff/0VAwcOhI+PDwBg6tSpOHTokFbvZZEiRbB06VLIZDK4urqibdu2OHr0KAYNGpRhu6dPn8bZs2cRGRkJuVwOIK2nPCQkBNu3b8fgwYMBACqVCkFBQTAzMwMA9O3bF0ePHsVPP/2EuLg4BAQEYMOGDWjWrBkAYO3atShVqlSW53T//n0UL15cqzdTbcCAARg7diymTJmC7du3w8nJSatnX5f4Fy9ejIEDB4oJ6axZs3DkyBGt3u4rV65ovS6CIGg8X758OUqXLo2lS5dCIpHA1dUVT548wcSJEzF16tRMzyW9Bw8ewNbWFs2bN4e+vj7KlCmDOnXqiNsCAwPx4MEDlChRAgAwbtw4HDhwAIGBgZg9ezYqVqyIr776CmvWrEHjxo0BpP2wIAiCeA98+gns7O3tMWvWLHz77bc5+rGhdOnS+P777/H999/j7NmzWLduHby9vaGnpwcvLy94e3ujUqVKAIBatWpp3Q//vuLFi2e6zc7ODitWrECtWrWQnJyM1atXw8PDA2fOnEGNGjXEeiVKlIBCocCzZ89QtmxZnc8lJ9jTTUT0iVm1qqAjICKiwqZJkya4dOmSxmP16tVZ7nPjxg0xMVN7/zmQNtGYTCYTn9vZ2SEyMhIAMHv2bI2exwcPHiA8PBxxcXGwsrLS2Hb37l1ERESI7djb24sJ9/vtRkREQKFQoG7duuL2okWLonz58lmeU2JiIgwNDTPd3rZtW8TFxeHkyZNYs2ZNhr3cusR//fp1jdgAoF69elptlS9fXut12bdvn0ad69evo169ehrrQTdo0ABxcXF49OhRluer1q1bNyQmJsLR0RGDBg3Czp07xeHpV65cgVKpRLly5TTO58SJExqvx4ABA7B9+3ZxiP+aNWvQrVs38TU6cuQImjVrhpIlS8LMzAx9+/bFq1evkJCQoFOM76tTpw6WLl2Kx48fo3fv3li4cCH69OkjbjcyMoKzs3OWj/Tvn/eVL18e33zzDWrWrIn69etjzZo1qF+/PhYtWqRRz8jICAByfR66YE83EREREdEnzsTEBM7OzhpluiZs2dHX19d4LpFIoFKpAADffvstunfvLm4rUaIE4uLiYGdnJ94znF76e8qzaje3ihUrluW9wnp6eujbty+mTZuGM2fOYOfOnVp1dI1fFwYGBlqvy/v3j+tCKpVq9ZCnv6++dOnSuHHjBo4cOYLDhw9j6NChmD9/Pk6cOIG4uDjIZDKcP39e48cTABq98D179sTo0aOxbds2NG7cGGFhYZgzZw6AtBnX27VrhyFDhuCnn35C0aJFcfr0aQwcOBAKhQLGxsY5PqcbN25g/fr12LBhA2JiYjBo0CCNCdtOnTqF1q1bZ9nGypUr4eXlpfMx69Spg9OnT2uUqW8ZsLa2zkH0OcOkm4iIiIjoC1S+fHmcO3cO/fr1E8vOnTuXozaKFi2KokWLapTVqFEDz549g56eHuzt7XMVm5OTE/T19XHmzBmUKVMGABAVFYWbN2/C3d090/2qV6+OZ8+eISoqCkWKFMmwzoABA/Dzzz+jR48eGdbRJf4KFSrgzJkzGtfu77//zsEZarYVHBwMQRDE3u6wsDCYmZmJw+mtra3x9OlTcZ/Y2FjcvXtXox0jIyO0b98e7du3x7Bhw+Dq6oorV66gevXqUCqViIyMRKNGjTKNw8zMDN26dcOaNWsQERGBcuXKifXPnz8PlUqFBQsWiMPdt23bluNzffnyJbZs2YL169fj/PnzaNGiBebOnYtOnTppjVD40OHlGbl06RLs7Ow0yv7991+UKlUKxYoVy1FbOVHgSffjx48xceJE7N+/HwkJCXB2dkZgYCBq1apV0KEREREREX22RowYgUGDBqFWrVqoX78+tm7disuXL8PR0fGD2m3evDnq1auHTp064X//+x/KlSuHJ0+eYO/evejcubNOf+ebmppi4MCBGD9+PKysrGBjY4MpU6Zke39z9erVUaxYMYSFhaFdu3YZ1qlQoQJevnyZae+sLvF/99138Pb2Rq1atdCgQQNs3LgRV69ezdW1Gzp0KBYvXowRI0Zg+PDhuHHjBqZNm4YxY8aI59u0aVMEBQWhffv2sLS0xNSpUzV6rYOCgqBUKlG3bl0YGxtjw4YNMDIyQtmyZWFlZQUvLy/069cPCxYsQPXq1fHixQscPXoUVapUQdu2bcV2Bg4ciEaNGuH69euYOHGiWO7s7IyUlBT8+uuvaN++PcLCwrBixYocn2vdunVhaGiI/v37IyQkRCsBTk89vDy3Fi9eDAcHB7i5uSEpKQmrV6/GsWPHcOjQIY16p06dQsuWLXN9HF0UaNIdFRWFBg0aoEmTJti/fz+sra1x69atTH+VIiIiIiKivOHl5YU7d+5g3LhxSEpKQvfu3eHt7Y2zZ89+ULsSiQT79u3DlClT4OPjgxcvXsDW1haNGzfOUc/k/PnzERcXh/bt28PMzAxjx45FTExMlvvIZDL4+Phg48aNmSbdAGBlZfVB8ffo0QMRERGYMGECkpKS0LVrVwwZMgQHDx7U+fzUSpYsiX379mH8+PGoWrUqihYtioEDB+KHH34Q60yePBl3795Fu3btYGFhgZkzZ2r0dFtaWmLu3LkYM2YMlEolKleujN27d4vnGRgYiFmzZmHs2LF4/PgxihUrhq+++krrGjVs2BDly5fH7du3NXrxq1atioULF2LevHmYPHkyGjdujDlz5mjU0cXevXvh6uqa42uUGwqFQjxfY2NjVKlSBUeOHEGTJk3EOklJSQgJCcGBAwfyNRaJ8P7NAR/RpEmTEBYWhlOnTuVq/9jYWFhYWCAmJgbm5uZ5HB0RUeHTfnN7tH+zG28nfiUiojyUlJSEu3fvwsHBIcvJuD5nLVq0gK2tLdavX1/QoeTas2fP4ObmhgsXLuTbbNT0efD398fOnTu1er/Ty+p7Qdd8tEBnL//jjz9Qq1YtdOvWDTY2NqhevTp+++23TOsnJycjNjZW40FERERERDmXkJCAhQsX4urVq/jvv/8wbdo0HDlyBP379y/o0D6Ira0tAgIC8ODBg4IOhQo5fX19/Prrr/l+nAJNuu/cuQN/f3+4uLjg4MGDGDJkCEaOHCkuWP++OXPmwMLCQnyULl36I0dMRERERPR5UA+jbty4MWrWrIndu3cjODgYzZs3L+jQPlinTp2ynDSMCAB8fX2zXYYuLxToPd0qlQq1atXC7NmzAaRNfPDvv/9ixYoVGf7CNnnyZIwZM0Z8Hhsby8SbiIiIiCgXjIyMcOTIkYIOg+izV6A93XZ2dqhYsaJGWYUKFTIdCiKXy2Fubq7xICIiIiIiIiqsCjTpbtCgAW7cuKFRdvPmTU54QERERERERJ+FAk26R48ejb///huzZ8/G7du3sWnTJqxatQrDhg0ryLCIiAq9VavSHkRERERUuBVo0l27dm3s3LkTmzdvRqVKlTBz5kwsXrwYXl5eBRkWERERERERUZ4o0InUAKBdu3ZZLlxPRERERERE9Kkq0J5uIiIiIiIios8Zk24iok/M0rNLsfTs0oIOg4iIPiGhoaGQSCSIjo4GAAQFBcHS0rJAYyL6UhT48HIiIiIiosLsY09cOXhw7vb766+/0LBhQ7Rq1Qp79+794DgkEon4/8bGxihRogQaNGiAESNGoGbNmjlqy8PDA9WqVcPixYs/OC6iTw17uomIiIiIPgMBAQEYMWIETp48iSdPnuRJm4GBgXj69CmuXr2KZcuWIS4uDnXr1sW6devypH2iLwGTbiKiT8SqVcD9o54FHQYRERVCcXFx2Lp1K4YMGYK2bdsiKCgoT9q1tLSEra0t7O3t0bJlS2zfvh1eXl4YPnw4oqKiAACvXr1Cr169ULJkSRgbG6Ny5crYvHmz2Ia3tzdOnDiBJUuWQCKRQCKR4N69e1AqlRg4cCAcHBxgZGSE8uXLY8mSJXkSN1FhwqSbiIiIiOgTt23bNri6uqJ8+fLo06cP1qxZA0EQ8uVYo0ePxps3b3D48GEAQFJSEmrWrIm9e/fi33//xeDBg9G3b1+cPXsWALBkyRLUq1cPgwYNwtOnT/H06VOULl0aKpUKpUqVwu+//45r165h6tSp+P7777Ft27Z8iZuooPCebiIiIiKiT1xAQAD69OkDAGjVqhViYmJw4sQJeHh45PmxXF1dAQD37t0DAJQsWRLjxo0Tt48YMQIHDx7Etm3bUKdOHVhYWMDAwADGxsawtbUV68lkMvj5+YnPHRwc8Ndff2Hbtm3o3r17nsdNVFDY001E9IniDOZERAQAN27cwNmzZ9GrVy8AgJ6eHnr06IGAgIB8OZ66B1090ZpSqcTMmTNRuXJlFC1aFKampjh48CAePHiQbVvLli1DzZo1YW1tDVNTU6xatUqn/Yg+JezpJiIiIiL6hAUEBCA1NRUlSpQQywRBgFwux9KlS2FhYZGnx7t+/TqAtJ5pAJg/fz6WLFmCxYsXo3LlyjAxMcGoUaOgUCiybGfLli0YN24cFixYgHr16sHMzAzz58/HmTNn8jReooLGpJuIiIiI6BOVmpqKdevWYcGCBWjZsqXGtk6dOmHz5s349ttv8/SYixcvhrm5OZo3bw4ACAsLQ8eOHcXh7SqVCjdv3kTFihXFfQwMDKBUKjXaCQsLQ/369TF06FCxLCIiIk9jJSoMmHQTEREREX2i9uzZg6ioKAwcOFCrR7tr164ICAj4oKQ7Ojoaz549Q3JyMm7evImVK1ciJCQE69atg6WlJQDAxcUF27dvx59//okiRYpg4cKFeP78uUbSbW9vjzNnzuDevXswNTVF0aJF4eLignXr1uHgwYNwcHDA+vXrce7cObEHnehzwXu6iYiIiIg+UQEBAWjevHmGQ8i7du2Kf/75B5cvX851+z4+PrCzs4OrqyuGDBkCU1NTnD17Fr179xbr/PDDD6hRowY8PT3h4eEBW1tbdOrUSaOdcePGQSaToWLFirC2tsaDBw/wzTffoEuXLujRowfq1q2LV69eafR6E30uJEJ+rSXwEcTGxsLCwgIxMTEwNzcv6HCIiPLVqlXak6ddXj28gKIhIvr8JCUl4e7du3BwcIChoWFBh0NEhUBW3wu65qPs6SYiIiIiIiLKJ0y6iYiIiIiIiPIJk24iIiIiIiKifMKkm4iIiIiIiCifMOkmIiIiIiIiyidMuomIPgGrVhV0BERERESUG0y6iYg+Ee8vF0ZEREREhR+TbiIiIiIiIqJ8wqSbiOgT1fW/sIIOgYiIiIiywaSbiIiIiIgKndDQUEgkEkRHR2dZ7+jRo6hQoQKUSuXHCewtiUSCkJCQj3rMwsTe3h6LFy8u6DB09vLlS9jY2ODRo0cf/dh6H/2IRERERESfko89m+XgwTmq7u3tjejo6C82AZwwYQJ++OEHyGQyAEBQUBB8fHzg6uqK69eva9T9/fff0b17d5QtWxb37t3L0zgkEgl27tyJTp06aZQXttencuXKaNCgAVasWKG1bf369fD19cXjx49RrFixAogu91atWoVNmzbhwoULePPmDaKiomBpaSluL1asGPr164dp06YhICDgo8bGnm4iIiIiIvoknT59GhEREejatatGuYmJCSIjI/HXX39plAcEBKBMmTIfM8RCZ+DAgdiyZQsSExO1tgUGBqJDhw4fJeGOj4/Hq1ev8qy9hIQEtGrVCt9//32mdXx8fLBx40a8fv06z46rCybdRERERESfsRMnTqBOnTqQy+Wws7PDpEmTkJqaCgDYs2cPLC0txaHZly5dgkQiwaRJk8T9fX190adPnyyPsWvXLtSoUQOGhoZwdHSEn5+feAwgrRd49erV6Ny5M4yNjeHi4oI//vhDo419+/ahXLlyMDIyQpMmTXTqid6yZQtatGgBQ0NDjXI9PT307t0ba9asEcsePXqE0NBQ9O7dO8fx37p1C40bN4ahoSEqVqyIw4cPZxtbZpKTkzFy5EjY2NjA0NAQDRs2xLlz58TtQUFBGj20ABASEgKJRCI+Dw8PR5MmTWBmZgZzc3PUrFkT//zzj7j99OnTaNSoEYyMjFC6dGmMHDkS8fHxAIA+ffogMTERwcHBGse4e/cuQkNDMXDgQERERKBjx44oXrw4TE1NUbt2bRw5ciTX56wmCAJOnDgBHx8f2Nra4vTp0x/cptqoUaMwadIkfPXVV5nWcXNzQ4kSJbBz5848O64umHQTEREREX2mHj9+jDZt2qB27doIDw+Hv78/AgICMGvWLABAo0aN8ObNG1y8eBFAWoJerFgxhIaGim2cOHECHh4emR7j1KlT6NevH7777jtcu3YNK1euRFBQEH766SeNen5+fujevTsuX76MNm3awMvLS+xxfPjwIbp06YL27dvj0qVL8PX11Uj8szp2rVq1Mtw2YMAAbNu2DQkJCQDSktlWrVqhePHiOYpfpVKhS5cuMDAwwJkzZ7BixQpMnDgx29gyM2HCBAQHB2Pt2rW4cOECnJ2d4enpmaPeVy8vL5QqVQrnzp3D+fPnMWnSJOjr6wMAIiIi0KpVK3Tt2hWXL1/G1q1bcfr0aQwfPhxA2jDrjh07avwgob4+pUqVQsuWLREXF4c2bdrg6NGjuHjxIlq1aoX27dvjwYMHuTrnO3fuYNq0aXB0dETbtm2hVCqxc+dOtG/fXqzTunVrmJqaZvpwc3PL1bHfV6dOHZw6dSpP2tIVk24iIiIios/U8uXLUbp0aSxduhSurq7o1KkT/Pz8sGDBAqhUKlhYWKBatWpikh0aGorRo0fj4sWLiIuLw+PHj3H79m24u7tnegw/Pz9MmjQJ/fv3h6OjI1q0aIGZM2di5cqVGvW8vb3Rq1cvODs7Y/bs2YiLi8PZs2cBAP7+/nBycsKCBQtQvnx5eHl5wdvbO9vzu3//PkqUKJHhturVq8PR0RHbt2+HIAgICgrCgAEDchz/kSNH8N9//2HdunWoWrUqGjdujNmzZ2d4zF69emklixs3bhS3x8fHw9/fH/Pnz0fr1q1RsWJF/PbbbzAyMsrRfcYPHjxA8+bN4erqChcXF3Tr1g1Vq1YFAMyZMwdeXl4YNWoUXFxcUL9+ffzyyy9Yt24dkpKSAKQNMQ8NDcXdu3cBpPVAr127Fv3794dUKkXVqlXxzTffoFKlSnBxccHMmTPh5OSkNTohK3FxcQgICEDjxo1Rrlw5/Pnnn5gxYwaeP3+OdevWoXnz5pBK36Wjq1evxqVLlzJ97Nu3T+djZ6VEiRK4f/9+nrSlK06kRkRERET0mbp+/Trq1aunMTS5QYMGiIuLw6NHj1CmTBm4u7sjNDQUY8eOxalTpzBnzhxs27YNp0+fxuvXr1GiRAm4uLgAAExNTcV2+vTpgxUrViA8PBxhYWEaPdtKpRJJSUlISEiAsbExAKBKlSridhMTE5ibmyMyMlKMs27duhqx16tXL9vzS0xM1Bpant6AAQMQGBiIMmXKID4+Hm3atMHSpUs16mQX//Xr11G6dGmN5D6z2BYtWoTmzZtrlE2cOFEcvh8REYGUlBQ0aNBA3K6vr486depoTfqWlTFjxsDX1xfr169H8+bN0a1bNzg5OYnnc/nyZY1kXxAEqFQq3L17FxUqVECLFi1QqlQpBAYGYsaMGTh69CgePHgAHx8fAGkJ8/Tp07F37148ffoUqampSExMzFFP9/bt2+Hr64tKlSohPDw8257qkiVL6tz2hzAyMhJHP3wsTLqJiIiIiL5gHh4eWLNmDcLDw6Gvrw9XV1d4eHggNDQUUVFRGr3cly5dEv/f3NwcQFqC5ufnhy5dumi1nT4hVg9/VpNIJFCpVB8Ue7FixRAVFZXpdi8vL0yYMAHTp09H3759oaennf7oGr8ubG1t4ezsrFFmZmaW7bJn6UmlUgiCoFGWkpKi8Xz69Ono3bs39u7di/3792PatGnYsmULOnfujLi4OHzzzTcYOXKkVtvqSeSkUim8vb2xdu1aTJ8+HYGBgWjSpAkcHR0BAOPGjcPhw4fx888/w9nZGUZGRvj666+hUCh0Po+OHTti0aJFWLt2LWrWrIn27dujb9++aN26tdZ7AUgbXp7VsO+yZcvi6tWrOh8/M69fv4a1tfUHt5MTTLqJiIiIiD5TFSpUQHBwMARBEHu7w8LCYGZmhlKlSgF4d1/3okWLxATbw8MDc+fORVRUFMaOHSu2935CCQA1atTAjRs3MtyWkzjfH7r8999/Z7tf9erVce3atUy3Fy1aFB06dMC2bdsyXCILyD7+ChUq4OHDh3j69Cns7Ox0ji0jTk5OMDAwQFhYGMqWLQsgLaE+d+4cRo0aBQCwtrbGmzdvEB8fDxMTEwCaP3aolStXDuXKlcPo0aPRq1cvBAYGonPnzqhRowauXbuW7evh4+ODWbNmYceOHdi5cydWr14tbgsLC4O3tzc6d+4MIO2HiZwusVakSBGMGjUKo0aNwuXLlxEUFITBgwcjNTUVPXv2RN++fTVGN6xevTrDGdXVMkrUc+Pff//Nco6C/MB7uomIiIiIPnExMTFa98A+fPgQQ4cOxcOHDzFixAj8999/2LVrF6ZNm4YxY8aI99MWKVIEVapUwcaNG8VkpHHjxrhw4QJu3ryZ5f3cADB16lSsW7cOfn5+uHr1Kq5fv44tW7bghx9+0Dn+b7/9Frdu3cL48eNx48YNbNq0CUFBQdnu5+npme0M2EFBQXj58iVcXV1zFX/z5s1Rrlw59O/fH+Hh4Th16hSmTJmi87mlZ2JigiFDhmD8+PE4cOAArl27hkGDBiEhIQEDBw4EANStWxfGxsb4/vvvERERoXUtEhMTMXz4cISGhuL+/fsICwvDuXPnUKFCBQBpw9n//PNPDB8+HJcuXcKtW7ewa9cucSI1NQcHBzRt2hSDBw+GXC7X6Ol3cXHBjh07cOnSJYSHh6N3794fNCqhSpUqWLhwIR49eoSgoCA8e/YMjRs3xu7du8U6JUuWhLOzc6YP9Y8UmXn27BkuXbqE27dvAwCuXLmCS5cuaUxQl5CQgPPnz6Nly5a5PpfcYNJNRERERPSJCw0NRfXq1TUefn5+KFmyJPbt24ezZ8+iatWq+PbbbzFw4ECthNjd3R1KpVJMuosWLYqKFSvC1tYW5cuXz/LYnp6e2LNnDw4dOoTatWvjq6++wqJFi7JNktIrU6YMgoODERISgqpVq2LFihWZTlaWnpeXF65evYobN25kWsfIyAhWVla5jl8qlWLnzp1ITExEnTp14OvrqzUze07MnTsXXbt2Rd++fVGjRg3cvn0bBw8eRJEiRQCkXfsNGzZg3759qFy5MjZv3ozp06eL+8tkMrx69Qr9+vVDuXLl0L17d7Ru3Rp+fn4A0hLcEydO4ObNm2jUqBGqV6+OqVOnZjjh3MCBAxEVFYXevXtrDKVfuHAhihQpgvr166N9+/bw9PREjRo1cn3Oanp6emjXrh22b9+Op0+fat3H/yFWrFiB6tWrY9CgQQDSfjiqXr26xgiKXbt2oUyZMmjUqFGeHVcXEuH9GwY+IbGxsbCwsEBMTIx4TwkR0edo1Spg6VnNiV+6/heGaac3F1BERESfn6SkJNy9excODg45vpeXCs748eMRGxurNVs60fu++uorjBw5MsO12jOT1feCrvkoe7qJiIiIiOiTNWXKFJQtW/aDJ2Wjz9vLly/RpUsX9OrV66Mfu0CT7unTp0MikWg8MrvXgoiIiIiI6H2Wlpb4/vvvNdZ8JnpfsWLFMGHCBI3l8z6WAp+93M3NDUeOHBGfZzSNPxEREREREdGnqMAzXD09Pdja2hZ0GERERERERER5rsDHYNy6dQslSpSAo6MjvLy88ODBg4IOiYio0FImG0DxxgwqZYF/fRMRERGRDgq0p7tu3boICgpC+fLl8fTpU/j5+aFRo0b4999/YWZmplU/OTkZycnJ4vPY2NiPGS4RUYFSKgzw6nplCCoZpHopSJL+U9AhEREREVE2CjTpbt26tfj/VapUQd26dVG2bFls27ZNXBw+vTlz5ojrzxERfWmSYywhqGQAAFWqPl4qtdfbJCIiIqLCpVCNT7S0tES5cuVw+/btDLdPnjwZMTEx4uPhw4cfOUIiooKTEm+q8fyNokgBRUJEREREuipUSXdcXBwiIiJgZ2eX4Xa5XA5zc3ONBxHRlyIlwUTjeZzCsmACISIiIiKdFWjSPW7cOJw4cQL37t3Dn3/+ic6dO0MmkxXIguVERIVZSgqgTDLSKItPsUBKSgEFREREn5ygoCBYWlrmaB9vb2906tQpX+LJDQ8PD4waNaqgwyDKkQJNuh89eoRevXqhfPny6N69O6ysrPD333/D2tq6IMMiIip0EhK0ywQAixd/7EiIiKiwySwxDg0NhUQiQXR0NACgR48euHnz5scN7iMLCgqCRCKBRCKBVCpFqVKl4OPjg8jISLGOertEIoGJiQlcXFzg7e2N8+fPa7Slvn7vP3744YePfVr0iSvQidS2bNlSkIcnIvpkJCameyIRAEGiXU5ERJQFIyMjGBkZZV/xE2dubo4bN25ApVIhPDwcPj4+ePLkCQ4ePCjWCQwMRKtWrZCUlISbN29i1apVqFu3LtasWYN+/fpptHfjxg2N21pNTTXnWCHKTqG6p5uIiDKWlPTu/7+KvYQKLx9olRMREWUlo+Hls2bNgo2NDczMzODr64tJkyahWrVqWvv+/PPPsLOzg5WVFYYNG4aUbO5vio6Ohq+vL6ytrWFubo6mTZsiPDxc3D59+nRUq1YN69evh729PSwsLNCzZ0+8efNGrBMfH49+/frB1NQUdnZ2WLBggU7nKZFIYGtrixIlSqB169YYOXIkjhw5gsR0v1RbWlrC1tYW9vb2aNmyJbZv3w4vLy8MHz4cUVFRGu3Z2NjA1tZWfDDpppxi0k1E9AlIn1ybG7wW/3/LpRC039y+ACIiIqJP3caNG/HTTz9h3rx5OH/+PMqUKQN/f3+tesePH0dERASOHz+OtWvXIigoCEFBQVm23a1bN0RGRmL//v04f/48atSogWbNmuH163f/hkVERCAkJAR79uzBnj17cOLECcydO1fcPn78eJw4cQK7du3CoUOHEBoaigsXLuT4PI2MjKBSqZCampplvdGjR+PNmzc4fPhwjo9BlJUCHV5ORES6SZ90m6VLupUKgwKIhojoy7Hq/CrEKeI++nFNDUwxuOZgnevv2bNHqwdWqVRmuc+vv/6KgQMHwsfHBwAwdepUHDp0CHFxmudbpEgRLF26FDKZDK6urmjbti2OHj2KQYMGZdju6dOncfbsWURGRkIulwNI6ykPCQnB9u3bMXhw2nmpVCoEBQXBzMwMANC3b18cPXoUP/30E+Li4hAQEIANGzagWbNmAIC1a9eiVKlSOl8TALh16xZWrFiBWrVqicfJjKurKwDg3r17GuXvH/P+/fuwsrLKURz0ZWPSTUT0CUh/77a5/N2wN1WKfgFEQ0T05YhTxCE2Obagw8hWkyZNtHqpz5w5gz59+mS6z40bNzB06FCNsjp16uDYsWMaZW5ubpDJZOJzOzs7XLlyBQAwe/ZszJ49W9x27do1hIeHIy4uTisxTUxMREREhPjc3t5eIxG2s7MTJzyLiIiAQqFA3bp1xe1FixZF+fLlMz0ftZiYGJiamkKlUiEpKQkNGzbE6tWrs91PEAQAacPT0zt16pRGnEWKFMm2LaL0mHQTEX0C1D3dEokKhrJ4yCSpUAp6UKawp5uIKD+ZGhTM/bs5Pa6JiQmcnZ01yh49epQnsejra/7AK5FIoFKpAADffvstunfvLm4rUaIE4uLiYGdnh9DQUK220t9TnlW7H8LMzAwXLlyAVCqFnZ2dzpPHXb9+HQDg4OCgUe7g4JDjpdaI0mPSTUT0CVAn3VIDBSQSQC5LQkKqKVQcXk5ElK9yMsT7U1O+fHmcO3dOY7buc+fO5aiNokWLomjRohplNWrUwLNnz6Cnpwd7e/tcxebk5AR9fX2cOXMGZcqUAQBERUXh5s2bcHd3z3JfqVSq9QOELhYvXgxzc3M0b948VzETZYZJNxFRIZeamvYAAIl+Iu5aPEdqVBTwxhSCSgZlCr/KiYgo50aMGIFBgwahVq1aqF+/PrZu3YrLly/D0dHxg9pt3rw56tWrh06dOuF///sfypUrhydPnmDv3r3o3LkzatWqlW0bpqamGDhwIMaPHw8rKyvY2NhgypQpkErzZh7o6OhoPHv2DMnJybh58yZWrlyJkJAQrFu3jr3alOf4lxoRUSGX/n7uJKN7uFckEi+KPYJpYnEAgEohL6DIiIjoU+bl5YU7d+5g3LhxSEpKQvfu3eHt7Y2zZ89+ULsSiQT79u3DlClT4OPjgxcvXsDW1haNGzdG8eLFdW5n/vz5iIuLQ/v27WFmZoaxY8ciJibmg2JTU08eZ2hoiJIlS6Jhw4Y4e/YsatSokSftE6UnEdQzBnyCYmNjYWFhgZiYGI0F64mIPifPnwO+vsCZx39BUfowqllsw6tHjZEUWQ2xBtVQxXcZDg9dW9BhEhF98pKSknD37l04ODjA0NCwoMMpEC1atICtrS3Wr19f0KEQFQpZfS/omo+yp5uIqJBT93SnSuMAvWQAgFQvESmyVAhQQpnMnm4iIsq5hIQErFixAp6enpDJZNi8eTOOHDnCdaqJ8hiTbiKiQk6ddKukSZC8TbplsrT/qiTJUHJ4ORER5YJ6GPhPP/2EpKQklC9fHsHBwZxIjCiPMekmIirkBu8YhZuPe0OlnwI9PQUAQKqXNp25UprMnm4iIsoVIyMjHDlypKDDIPrs5c30f0RElG/UE6WpJIp0Pd2Jb8uSoeSyYURERESFFpNuIqJCTqmQQ4ASgkQJiV4yzJONIXubfAuSFA4vJyIiIirEmHQTERVySoUBVJIUAIBETwEThSEM3z5XSVI4vJyIiIioEGPSTURUyCkVBhDeJtnQT4axwgBGggoAIEiUUCZzeDkRERFRYcWkm4iokFMq5FBJUgEAEr1kyJX6MFIBEokSAKBI0i/I8IiIiIgoC0y6iYgKOZXCAAJSIZGmQiJVwSBVD0ZKfXEG8xQFF6IgIiIiKqyYdBMRFXKqVP20SdRkaUPMDZT6kKfqQypVwDohBqlMuomIKBuhoaGQSCSIjo4GAAQFBcHS0rJAYyL6UjDpJiIq5FSpehAkqYCYdOvBMFUfUlnamt2pCilUqoKMkIiICoO//voLMpkMbdu2zZP2JBKJ+DAxMYGLiwu8vb1x/vz5HLfl4eGBUaNGfXBM9+7d04jLysoKLVu2xMWLFzWOpd4ul8tRsmRJtG/fHjt27NBqL31b6kfDhg0/OE6i9Jh0ExEVYoKQvqc7FRJIoaeSwiBd0q0SVEhOLuBAiYiowAUEBGDEiBE4efIknjx5kidtBgYG4unTp7h69SqWLVuGuLg41K1bF+vWrcuT9nPryJEjePr0KQ4ePIi4uDi0bt1a7MUHgEGDBuHp06eIiIhAcHAwKlasiJ49e2Lw4MFabanPUf34448/PuKZ0JeASTcRUSGmVAKCSgIBqYAsFVKVISSQwECpB6ksLdNWgUk3EdGXLi4uDlu3bsWQIUPQtm1bBAUF5Um7lpaWsLW1hb29PVq2bInt27fDy8sLw4cPR1RUFADg1atX6NWrF0qWLAljY2NUrlwZmzdvFtvw9vbGiRMnsGTJErE3+d69e1AqlRg4cCAcHBxgZGSE8uXLY8mSJTrFZWVlBVtbW9SqVQs///wznj9/jjNnzojbjY2NYWtri1KlSuGrr77CvHnzsHLlSvz22284cuRIhueofhQtWjQPrhzRO0y6iYgKMYUCECBAkKggkaZAKqStya2vlEEiTevpFgQBSUkFGSURERW0bdu2wdXVFeXLl0efPn2wZs0aCIKQL8caPXo03rx5g8OHDwMAkpKSULNmTezduxf//vsvBg8ejL59++Ls2bMAgCVLlqBevXpi7/PTp09RunRpqFQqlCpVCr///juuXbuGqVOn4vvvv8e2bdtyFI+RkREAQKFQZFmvf//+KFKkSIbDzInyE2ffISIqxBQKvP2jSQLIUiBVyQEkQk+QQU+ado83h5cTEeWfVauAuLiPf1xTUyCDkdCZCggIQJ8+fQAArVq1QkxMDE6cOAEPD488j83V1RVA2v3VAFCyZEmMGzdO3D5ixAgcPHgQ27ZtQ506dWBhYQEDAwOx91lNJpPBz89PfO7g4IC//voL27ZtQ/fu3XWKJTo6GjNnzoSpqSnq1KmTZV2pVIpy5cqJcav16tULMplMfL5hwwZ06tRJp+MT6YJJNxFRIZacnJZUAzJIZKmQCgYAEgEABm/X6VYJKvZ0ExHlk7g4IDa2oKPI2o0bN3D27Fns3LkTAKCnp4cePXogICAgX5JudQ+6RCIBACiVSsyePRvbtm3D48ePoVAokJycDGNj42zbWrZsGdasWYMHDx4gMTERCoUC1apVy3a/+vXrQyqVIj4+Ho6Ojti6dSuKFy+uU+zquNUWLVqE5s2bi8/t7OyybYcoJ5h0ExEVYu96upF2T7egL26TIy3pFiAgMUkF3jFERJT3TE0L/3EDAgKQmpqKEiVKiGWCIEAul2Pp0qWwsLDI09iuX78OIK1nGgDmz5+PJUuWYPHixahcuTJMTEwwatSobId7b9myBePGjcOCBQtQr149mJmZYf78+Rr3Zmdm69atqFixIqysrHRe+kypVOLWrVuoXbu2RrmtrS2cnZ11aoMoN5h0ExEVYgpF2kRpACCRqnu60xggNe1/BGDIrtH4q6puk88QEZHucjLEuyCkpqZi3bp1WLBgAVq2bKmxrVOnTti8eTO+/fbbPD3m4sWLYW5uLvYOh4WFoWPHjuLwdpVKhZs3b6JixYriPgYGBlAqlRrthIWFoX79+hg6dKhYFhERoVMMpUuXhpOTU47iXrt2LaKiotC1a9cc7Uf0oZh0ExEVYgoF8OZxSUDvBSBLgSRdT7ch3i3OnaqQZbQ7ERF95vbs2YOoqCgMHDhQq0e7a9euCAgI+KCkOzo6Gs+ePUNycjJu3ryJlStXIiQkBOvWrRN7mF1cXLB9+3b8+eefKFKkCBYuXIjnz59rJN329vY4c+YM7t27B1NTUxQtWhQuLi5Yt24dDh48CAcHB6xfvx7nzp0Te9A/REJCAp49e4bU1FQ8evQIO3fuxKJFizBkyBA0adLkg9snygmORSQiKsSSkwHh7TByiSxFo6dbPbwcAFKSmXQTEX2JAgIC0Lx58wyHkHft2hX//PMPLl++nOv2fXx8YGdnB1dXVwwZMgSmpqY4e/YsevfuLdb54YcfUKNGDXh6esLDwwO2trZaE5GNGzcOMpkMFStWhLW1NR48eIBvvvkGXbp0QY8ePVC3bl28evVKo9f7Q/z222+ws7ODk5MTunTpgmvXrmHr1q1Yvnx5nrRPlBMSIb/WEvgIYmNjYWFhgZiYGJibmxd0OEREee7sWaDl8D1IkcVA7vwnihvboufVawCAG3IV/nzpjhfGFnCoewX/Lp5bwNESEX3akpKScPfuXTg4OMDQ0LCgwyGiQiCr7wVd81H2dBMRFWJp63S/u6dbkklPtzJFX2tfIiIiIip4TLqJiAoxhQIQJOmHl6efvTzdPd3JnKKDiIiIqDBi0k1EVIglJwNQ92jLUvD19bPitvRJtzKF93QTERERFUZMuomICrG0nu605FoqlUICibjNQCWBRJq2bJgyxSDD/YmIiIioYDHpJiIqxNLu6U7r6Za+942tp5JBKksGwJ5uIiIiosKKNwESERViSckqsadb9l7Sra+SQSpVwDohBpaPUgsgOiIiIiLKTqHp6Z47dy4kEglGjRpV0KEQERUa8YnvkmmJRKKxTSpIIJOmAABSVHpQqUBEREREhUyhSLrPnTuHlStXokqVKgUdChFRoZKQmJZUSyQqyCSaQ8glkEDv7T3dKol60jUiIiIiKkwKPOmOi4uDl5cXfvvtNxQpUqSgwyEiKlTik972dMtSIBG01+I2kKQl5UoITLqJiIiICqECT7qHDRuGtm3bonnz5tnWTU5ORmxsrMaDiOhzlvg26U5bo1t7Gg59Sdp2QSIgPkH5UWMjIiLKT6GhoZBIJIiOji7oUIg+SIEm3Vu2bMGFCxcwZ84cnerPmTMHFhYW4qN06dL5HCERUcGKT0pLpG0TI+Fx/z+t7eqkGwBi49nVTUT0JfL29kanTp0KOowCYW9vD4lEAolEAhMTE9SoUQO///67uH369Onidj09PRQrVgyNGzfG4sWLkfzeEDEPDw+xbvpHaionK6UPU2BJ98OHD/Hdd99h48aNMDQ01GmfyZMnIyYmRnw8fPgwn6MkIio4KhWQlKxeLiwVeirtZcEM0iXdMUy6iYjoCzRjxgw8ffoUFy9eRO3atdGjRw/8+eef4nY3Nzc8ffoUDx48wPHjx9GtWzfMmTMH9evXx5s3bzTaGjRoEJ4+farx0NPjgk/0YQos6T5//jwiIyNRo0YN6OnpQU9PDydOnMAvv/wCPT09KJXawyTlcjnMzc01HkREn6uUFCBV9XZ4uTQFekrtr2wDvPuufJOg+GixERHRp+PEiROoU6cO5HI57OzsMGnSJLH3ds+ePbC0tBT/9r506RIkEgkmTZok7u/r64s+ffpkeYxdu3ahRo0aMDQ0hKOjI/z8/DR6iCUSCVavXo3OnTvD2NgYLi4u+OOPPzTa2LdvH8qVKwcjIyM0adIE9+7d0+n8zMzMYGtri3LlymHZsmUwMjLC7t27xe16enqwtbVFiRIlULlyZYwYMQInTpzAv//+i3nz5mm0ZWxsDFtbW40H0YcqsKS7WbNmuHLlCi5duiQ+atWqBS8vL1y6dAkymXaPDhHRl0SheJd0S6Up7OkmIqIce/z4Mdq0aYPatWsjPDwc/v7+CAgIwKxZswAAjRo1wps3b3Dx4kUAaQl6sWLFEBoaKrZx4sQJeHh4ZHqMU6dOoV+/fvjuu+9w7do1rFy5EkFBQfjpp5806vn5+aF79+64fPky2rRpAy8vL7x+/RpA2ijYLl26oH379rh06RJ8fX01En9d6enpQV9fHwpF1j9Eu7q6onXr1tixY0eOj0GUUwU2VsLMzAyVKlXSKDMxMYGVlZVWORHRlyg5OV3SLVNknHTj3eLccezpJiLKe6tWAXFxH/+4pqbA4MEf3Mzy5ctRunRpLF26FBKJBK6urnjy5AkmTpyIqVOnwsLCAtWqVUNoaChq1aqF0NBQjB49Gn5+foiLi0NMTAxu374Nd3f3TI/h5+eHSZMmoX///gAAR0dHzJw5ExMmTMC0adPEet7e3ujVqxcAYPbs2fjll19w9uxZtGrVCv7+/nBycsKCBQsAAOXLl8eVK1e0eqKzolAosGDBAsTExKBp06bZ1nd1dcWhQ4e0rtfq1avF5998840YE1Fu8QYFIqJCSqEAlELacD9JJj3dco3h5ZzohYgoz8XFAZ/wijnXr19HvXr1IJFIxLIGDRogLi4Ojx49QpkyZeDu7o7Q0FCMHTsWp06dwpw5c7Bt2zacPn0ar1+/RokSJeDi4gIAMDU1Fdvp06cPVqxYgfDwcISFhWn0bCuVSiQlJSEhIQHGxsYAgCpVqojbTUxMYG5ujsjISDHOunXrasRer149nc5x4sSJ+OGHH5CUlARTU1PMnTsXbdu2zXY/QRA0rgsAeHl5YcqUKeJzS0tLnWIgykqhSrrTD2MhIvrSpR9eLpGmQC9F+46g9El3XELKR4uNiOiLkS7J/FyP6+HhgTVr1iA8PBz6+vpwdXWFh4cHQkNDERUVpdHLfenSJfH/1fMrxcXFwc/PD126dNFqO/2Eyfr6+hrbJBIJVCrV+7vk2Pjx4+Ht7Q1TU1MUL15cK5HOzPXr1+Hg4KBRZmFhAWdn5w+OiSi9QpV0ExHROxr3dMtSoJecUU/3uz9WEhK5TjcRUZ7LgyHeBalChQoIDg7W6NUNCwuDmZkZSpUqBeDdfd2LFi0SE2wPDw/MnTsXUVFRGDt2rNheRglpjRo1cOPGjQ9KVitUqKA1sdrff/+t077FihXL8bH/++8/HDhwAJMnT87RfkS5waSbiKiQSp90yyQpkAkZzF4uvEu645M4vJyI6EsVExOj0QsNAFZWVhg6dCgWL16MESNGYPjw4bhx4wamTZuGMWPGQCpN+3elSJEiqFKlCjZu3IilS5cCABo3bozu3bsjJSUly/u5AWDq1Klo164dypQpg6+//hpSqRTh4eH4999/xQnbsvPtt99iwYIFGD9+PHx9fXH+/HkEBQXl+DpkJDU1Fc+ePYNKpcKrV68QGhqKWbNmoVq1ahg/fnyeHIMoKwU2ezkREWUt/URqepKMe7GN2NNNRERIu02zevXqGg8/Pz+ULFkS+/btw9mzZ1G1alV8++23GDhwIH744QeN/d3d3aFUKsVZyosWLYqKFSvC1tYW5cuXz/LYnp6e2LNnDw4dOoTatWvjq6++wqJFi1C2bFmd4y9TpgyCg4MREhKCqlWrYsWKFZg9e3aOr0NGrl69Cjs7O5QpUwYeHh7Ytm0bJk+ejFOnTmnco06UXySCIAg53enOnTtwdHTMj3hyJDY2FhYWFoiJieGa3UT02fnrL2Dqb2H48/o9VCsSgpax2oOTUqHChriG0DNKQv3SxbB2m08BREpE9HlISkrC3bt34eDgoHEvMhF9ubL6XtA1H81VT7ezszOaNGmCDRs2ICkpKTdNEBFRNtLPXq6fSU+3HqSQStN6wxMymGiNiIiIiApWrv5Cu3DhAqpUqYIxY8bA1tYW33zzDc6ePZvXsRERfdESk5RQvb1nWx+ZDx3Xl6Ql3UmpTLqJiIiICptc/YVWrVo1LFmyBE+ePMGaNWvw9OlTNGzYEJUqVcLChQvx4sWLvI6TiOiLE5/4bmK0rJJuvbdJdyKTbiIiIqJC54P+QtPT00OXLl3w+++/Y968ebh9+zbGjRuH0qVLo1+/fnj69GlexUlE9MVJSNIt6VYPPU9VSqBI4WRqRERERIXJByXd//zzD4YOHQo7OzssXLgQ48aNQ0REBA4fPownT56gY8eOeRUnEdEXJyEpRfx/fYkq03p6knf1YhOS8zUmIqIvQS7mGSaiz1RefB/kap3uhQsXIjAwEDdu3ECbNm2wbt06tGnTRlzrz8HBAUFBQbC3t//gAImIvlQJSe96rQ0ymUgN0Jxk7U1CMopZGOdrXEREnyuZTAYAUCgUMDIyKuBoiKgwSEhIAADo6+vnuo1cJd3+/v4YMGAAvL29YWdnl2EdGxsbBAQE5DowIqIvXfqkW1/IvKc7fdLNnm4iotzT09ODsbExXrx4AX19fbFDiYi+PIIgICEhAZGRkbC0tBR/lMuNXCXdhw8fRpkyZbS+iARBwMOHD1GmTBkYGBigf//+uQ6MiOhLl/g26ZbIUqAnZP5Fn/5+7zdMuomIck0ikcDOzg53797F/fv3CzocIioELC0tYWtr+0Ft5CrpdnJywtOnT2FjY6NR/vr1azg4OECp5EQ+REQfKjH5bdItTYWeKvPeFs3h5SmZ1iMiouwZGBjAxcUFCoWioEMhogKmr6//QT3carlKujO7mTwuLg6GhoYfFBAREaVJSk4bUm6bFAmZceZJt0G6nu44Jt1ERB9MKpXyb1oiyjM5SrrHjBkDIG3ozdSpU2Fs/G6yHqVSiTNnzqBatWp5GiAR0ZdIEIDEpLSkWyJNgSyLnm4DvFtajEk3ERERUeGSo6T74sWLANJ6uq9cuQIDAwNxm4GBAapWrYpx48blbYRERF8gpRJISU3rwZZKU6CnynxokwHeTbIWn8Skm4iIiKgwyVHSffz4cQCAj48PlixZAnNz83wJiojoS6dQAEpBfU931j3d8nTDy9PPeE5EREREBS9X93QHBgbmdRxERJSOQgGkqtKGjUtlCs2kWxBQNOkN9FQqvDQy17inOz4x9f2miIiIiKgA6Zx0d+nSBUFBQTA3N0eXLl2yrLtjx44PDoyI6EuWnAwoVe96uvWU74aXl4l9AYeY5wCABH05YopVAt7m5Ey6iYiIiAoXnZNuCwsLSCQS8f+JiCj/pB9eLpWmQJaallUbpySJCXfa82SUe/MMsKgE4N3a3kRERERUOOicdKcfUs7h5URE+UtjeLk0FVIh7UdP27gorbr2cZHQN0urm5iY8ZKORERERFQwMp+ZJwuJiYlISEgQn9+/fx+LFy/GoUOH8iwwIqIvmULxbni5vkQJCSSAIMA2PhoAIEgkeGmUNpmlvpCKsklpybh6mTEiIiIiKhxylXR37NgR69atAwBER0ejTp06WLBgATp27Ah/f/88DZCI6EuUnPxueLmeJK0X2yQlGfpve79fG5rhmUkRAIBEIsBRkTbkPCmZw8uJiIiICpNcJd0XLlxAo0aNAADbt2+Hra0t7t+/j3Xr1uGXX37J0wCJiL5E6YeX672dndwiOV7cHmVogihDE6gkaV/j9smRAICkZEAQOMSciIiIqLDIVdKdkJAAMzMzAMChQ4fQpUsXSKVSfPXVV7h//36eBkhE9CVKSlZBJaQNFdeXpCXdlumS7hi5CVRSGWINjAAAFsp4GKUmISVFihRVyscPmIiIiIgylKuk29nZGSEhIXj48CEOHjyIli1bAgAiIyNhbm6epwESEX2JEpLeLf2l/7an2zw5EQCglMoQp28IAHgjNwYACMlyGLx8DaVCD4kpSR85WiIiIiLKTK6S7qlTp2LcuHGwt7dH3bp1Ua9ePQBpvd7Vq1fP0wCJiL5EcQnveqv1JEroKVMhVyrStukbAm+XcFT3dEslKtikREEQJIhLYtJNREREVFjovGRYel9//TUaNmyIp0+fomrVqmJ5s2bN0Llz5zwLjojoSxWf9C7pNpAoYZLyblby+Le93ADw5m3SLYMK1ooo3AIQG5+MkpYfK1IiIiIiykqukm4AsLW1ha2trUZZnTp1PjggIiICEpOUePIEMI55AhsrAaYpyeK2OIN3SXeyTB+pUj1IJSoUTYlN256o+OjxEhEREVHGcpV0x8fHY+7cuTh69CgiIyOhUmmuC3vnzp08CY6I6EuleU93KkwU74aMx6Xr6YZEgnh9OWQKFUyViTBQKvAmgUk3ERERUWGRq6Tb19cXJ06cQN++fWFnZwfJ23sLiYgobyQmv0u6DaCCceq7nu4EfblG3Xh9OWRI+/HTIikabxKKf5wgiYiIiChbuUq69+/fj71796JBgwZ5HQ8REQFISEybsVwqUUEfEhilpvVeK2T6UEplmnX1DWGGtOXELJOiEZ+YCiIiIiIqHHI1e3mRIkVQtGjRvI6FiIjeSkxO67mOVkRCngoYKNMmVkvUM9Cqm76n2zIpGnGJXKebiIiIqLDIVdI9c+ZMTJ06FQkJCXkdDxERAUh6m3RLZQqYpxtqnlHSnaAnhwwCAMAs+Y3GcmNEREREVLByNbx8wYIFiIiIQPHixWFvbw99fX2N7RcuXMiT4IiIvlRJSWnDyyXSFJilS7rfv58bABQyPXHdbjPFG8RxeDkRERFRoZGrpLtTp055cnB/f3/4+/vj3r17AAA3NzdMnToVrVu3zpP2iYg+RYIAJCkEPH7zGKWkqTBLVorbMurphkQChZ4+kAqYKeLwgkk3ERERUaGRq6R72rRpeXLwUqVKYe7cuXBxcYEgCFi7di06duyIixcvws3NLU+OQUT0qVEoAKXqXU+3Scq7pDspo6QbaROsIRXQU6VCGRP3UeIkIiIiouzl6p5uAIiOjsbq1asxefJkvH79GkDasPLHjx/r3Eb79u3Rpk0buLi4oFy5cvjpp59gamqKv//+O7dhERF98hQKIFWV1lstlabAOOVdz3WSTD/jffQNIEHaEHNJVEz+B0lEREREOslVT/fly5fRvHlzWFhY4N69exg0aBCKFi2KHTt24MGDB1i3bl2O21Qqlfj9998RHx+PevXq5SYsIqLPgkIBKIW3S4bJFDB+29OtkkiR+t5yYWrJejLoQQK8eQNZ9JuPFisRERERZS1XPd1jxoyBt7c3bt26BUNDQ7G8TZs2OHnyZI7aunLlCkxNTSGXy/Htt99i586dqFixYoZ1k5OTERsbq/EgIvrcJCe/G14ulShglJrW052kpy9OmPa+FAMppELaNj1+NxIREREVGrlKus+dO4dvvvlGq7xkyZJ49uxZjtoqX748Ll26hDNnzmDIkCHo378/rl27lmHdOXPmwMLCQnyULl06N+ETERVq6YeXmwgKyIS05cOSZBnfzw0ACj0ZpG+Hl8vfxIlJOxEREREVrFwl3XK5PMNe5ps3b8La2jpHbRkYGMDZ2Rk1a9bEnDlzULVqVSxZsiTDupMnT0ZMTIz4ePjwYW7CJyIq1NIPL7dUJorlyXoZ388NAEn6BpBJ0tbqNo5PQLIyOX+DJCIiIiKd5Crp7tChA2bMmIGUlBQAgEQiwYMHDzBx4kR07dr1gwJSqVRITs74j0W5XA5zc3ONBxHR5yb97OWWqe+S7swmUQMAlVSKZP20231MEhKQlJqUv0ESERERkU5ylXQvWLAAcXFxsLa2RmJiItzd3eHs7AwzMzP89NNPOrczefJknDx5Evfu3cOVK1cwefJkhIaGwsvLKzdhERF9FpKSBLGn20LHnm4ASNI3AQAYJCUjOYGTqREREREVBrmavdzCwgKHDx9GWFgYwsPDERcXhxo1aqB58+Y5aicyMhL9+vXD06dPYWFhgSpVquDgwYNo0aJFbsIiIvosxCemiP9vmfpu5E9WPd0AkKxnDCgAQSWB4sVzwKpsvsVIRERERLrJcdKtUqkQFBSEHTt24N69e5BIJHBwcICtrS0EQYAkk5l1MxIQEJDTwxMRffbik94l3Wbpku5kvcwnUgMAhYEJoAAACRIiXwGu+RQgEREREeksR8PLBUFAhw4d4Ovri8ePH6Ny5cpwc3PD/fv34e3tjc6dO+dXnEREX4z0Sbe5OCGaBMmyrH8nVem/W8IxKfJ1foRGRERERDmUo57uoKAgnDx5EkePHkWTJk00th07dgydOnXCunXr0K9fvzwNkojoS5KQ+G65L/O3Pd3JMj0Ikqx/J1XpG4v/n/I6Jn+CIyIiIqIcyVFP9+bNm/H9999rJdwA0LRpU0yaNAkbN27Ms+CIiL5ECW97umWCEsbKtP/PbhI1AIDBu57u1NfR+REaEREREeVQjpLuy5cvo1WrVplub926NcLDwz84KCKiL1lCUlpPt7kyETKkrb2dnM0kagAgMTAR/1/5OjZ/giMiIiKiHMlR0v369WsUL1480+3FixdHVFTUBwdFRPQlS0hKBQCYKpNylHTL9fSgkKbVE6KZdBMREREVBjlKupVKJfT0Mr8NXCaTITU19YODIiL6kiUmqQC8TbqFtKRbkc0kagBw/fklxOml3dctiY0D3u5LRERERAUnRxOpCYIAb29vyOXyDLcnJydnWE5ERLpLTE4bXm6KOEiRtgyjLkm3AZSI1zNCUcQjNTkViI8HTE3zNVYiIiIiylqOku7+/ftnW4czlxMRfZik5Lc93aoESIW0pFuX4eUGUCJBzxgQ4pGSKgAxMUy6iYiIiApYjpLuwMDA/IqDiIjeUifdZkIcJG+TboU0+69rPWkqkqQWgOIFUlJVQGwsULJkvsZKRERERFnL0T3dRESUvwQBSFLf0y0kQiqkfU3rMrxcT5qKJL20GczFnm4iIiIiKlBMuomIChGlEkhRpiXdJkIipIIEgkSCVKks231lkhQk65kBAFJTBQjR0fkZKhERERHpgEk3EVEholAASlXaRGpmqgRIBEnaMmASSbb76klTcTP+JWJfPobyVTRSY7iEIxEREVFBY9JNRFSIKBRAqioVEkEFI1USpJDoNLQcAGSSVCRKDQEAgkoG5etX+RkqEREREemASTcRUSGSnAwoBSUMU5Mglei+RjcASCVKKOKKIEEmh0olRWrM6/wMlYiIiIh0wKSbiKgQUQ8vN0pJhCSHSbdEAuhJUhEnk0OlkkEZEw2oVPkYLRERERFlh0k3EVEhoh5ebpySALxNupN1TLoBQF+SijiZIQSVFKnKFCAuLr9CJSIiIiIdMOkmIipEkpMFKAUljFLT9XRL9XXeX1/s6ZZCKSjT1uomIiIiogLDpJuIqBBJSEoFgLfDy9PKdB1eDgD6EmVaT7cgRYoylUk3ERERUQFj0k1EVIi8SVAAwNue7rSynCXdacPLASA5hT3dRERERAWNSTcRUSESn5QCADBOScjxRGoAYCCoEC+Tp+3HpJuIiIiowDHpJiIqRBIS05Lu3Pd0KxHHpJuIiIio0GDSTURUiMS/d093qlQPgkT3r2oDKMXh5YoUFZNuIiIiogLGpJuIqBCJT0wFBAGprxMhkUhytFwYkJZ0p0plSJYaQJHKnm4iIiKigsakm4ioEElMToWBKgV6ghKQ5GxoOZCWdANAvJ4RUlJUwJs3gCDkR6hEREREpAMm3UREhUhCkhJGKYkAAGkukm59qRISQYKE/7d371FS1Hfex99V1de59QwDM4Cg4CURoyICukou+MQYjfE57PEYTkSP62NM4kGyhk12JftEk02UbC5P3BMTb2GN7oqSJ7tqYqJZ4oO6Rg0BNYqCioDAwDD3nr7f6vf8UTM9M4LIZbprwM/rnD7TXfXrX317pqZnPv37VVUgSqFooFSCdLoSpYqIiIjIAVDoFhEZQzLZEtGiF7otC/L2wYVuxypiMzDSXXS9hZpiLiIiIuIbhW4RkTEkk3WJFtJgGSxs8k7woJ4fsIs4WKSdgZFuUOgWERER8ZFCt4jIGJLJlQbOXO4C9kFPL3fsAraxSAWiFIsGY4xCt4iIiIiPFLpFRMaQbM71rtFtGyxz8KE7MDC9PB2I4nb1UXSLCt0iIiIiPlLoFhEZQ7JZ1xvptt2B6eUHP9LtDIx0G9em4BYUukVERER8pNAtIjJGuC7k8oaaYhrLdgGL3MEe020VsPHOXu66DoWSQreIiIiInxS6RUTGiFwOim6RaCGDbUPJClCyDu5t2rGLOMaiYAfJWSFNLxcRERHxmUK3iMgYkctByXiXDLNtyATD3nXDDoJtGYJ2EYCkXTs0vdyYSpQsIiIiIu9DoVtEZIzI5cAt5ogUczi2RSoYOaR+wk4BgKRd500vLxQgmx3NUkVERETkACl0i4iMEdmsIZRPAuDYFulg6JD6Cds5ABJWvTfSDZpiLiIiIuITX0P38uXLmTt3LvX19bS0tLBgwQLeeOMNP0sSEfFNKlMkUkgD4Dg26UD4kPqJOHkAElYt+aI31VyhW0RERMQfvobup59+msWLF/PCCy+wevVqCoUCF1xwAalUys+yRER8kcwUiBYzANi2RTp4eKE740TJ5RW6RURERPx0cBeAHWVPPPHEiMe/+MUvaGlpYf369Xz84x/3qSoREX8k03lqCl7odmyb9CEe0x2xvdCdCkTJ5V1voUK3iIiIiC/G1DHd8XgcgHHjxvlciYhI9Q0f6Q4cxkh3OJArX6s7Wyh5CxW6RURERHzh60j3cK7rcsMNNzBv3jxOPfXUfbbJ5XLkcrny4379EykiR5FUxrtGNxzeMd0hJ0/AOKQCUfKFgZHuRGK0yhQRERGRgzBmRroXL17Mhg0beOihh96zzfLly4nFYuXb1KlTq1ihiEhleaF74ERqtn3IZy9P75xMoschZ4fIDAx0a6RbRERExB9jInRff/31PPbYY6xZs4YpU6a8Z7tly5YRj8fLtx07dlSxShGRykpliuXp5Y4TIHOII90Bu4BjHLAskk6UkltS6BYRERHxia/Ty40xLFmyhIcffpinnnqK6dOn77d9OBwmHD60f0JFRMa6dLZI/cD0cjdSg2sf2ueiATtPAAeAVHeCwot/xpnzV5DLgd5DRURERKrK19C9ePFiVq5cyaOPPkp9fT3t7e0AxGIxotGon6WJiFRdOl2kZWCku6lzM5f27T6kfoJ2Hse1KQFJu5ai6fVWJBIK3SIiIiJV5uv08jvuuIN4PM78+fOZNGlS+bZq1So/yxIR8UUhkcYx3onP7NChXS4MvOnlAeONdCedWgroDOYiIiIifvF9ermIiHjc/iQAlu1CIAqF/CH1Mzi9PAckrDoKRtfqFhEREfHLmDiRmoiIAMkUALZtvNB9iIJ23juRGpCw6jXSLSIiIuIjhW4RkTHCSgyMdDsuODWH3I9tGcKWdz9BPUWj0C0iIiLiF4VuEZExwBiwUoMj3S52oPaw+qtxvMN34jRopFtERETERwrdIiJjQKEAwVwCACcABA59pBugxvZCd9LUk7d0TLeIiIiIXxS6RUTGgFwOQnlvenkwYFEKHt6lvWocb3656wZIhQbOmanQLSIiIlJ1Ct0iImNALgfh3LDQHTi80F1rGyy84N3nBL2F6TQUi4fVr4iIiIgcHIVuEZExIJ0pES54x3RbkRBmMCgfoje7/0LQ8s5g3usMuzqkRrtFREREqkqhW0RkDOhP5YgWMwCY2sM7iRp4lw0L4YXtXieIMWZgQwrdIiIiItWk0C0iMgYk4ylCpTwAVv3hh+6AnSc0MNKddKIU3YFp5YnEYfctIiIiIgdOoVtEZAxI9fSU79sNdYfdX8AuELK8ke6kU0N+INBrpFtERESkuhS6RUTGgGx3b/m+HWs47P686eUDI912nUK3iIiIiE8UukVExoBCb1/5fqDp8EO3N73cG+lOWArdIiIiIn5R6BYRGQOKffHy/fC42GH3N3ykO2HqybkFb0U8vp9niYiIiMhoU+gWERkDSnFvBDqRgGdfPvzQHXKy5ZHufLGGTMQL4BrpFhEREakuhW4RkTHA7U+W75uacYfdX9DJDYXufJhUzcB1v5NJKBQOu38REREROTAK3SIiY4DpH7qU14Nbf8eabWsOqz/Hcnltz58AKOQj9NcMe7vv6zusvkVERETkwCl0i4iMAVbCG+kuWAFKweCo9Ol2N2Jhkc9H6I8odIuIiIj4QaFbRGQMsFMpADKhMLY1OqE7NDDFvFgI0RMatkKhW0RERKRqFLpFRPyWz0MmB0A6HMEiMCrdBu0cIcs7gVqHFcQY463o7d3Ps0RERERkNCl0i4j4zCSSFIteIM6Ha7CwRqXfkJMjNBDg+wP1FAYvG6aRbhEREZGqUegWEfFZsTdByfVCdy5SM2r9Dh/pTtgNQ9fqVugWERERqRqFbhERn+W6+nGNC0AhUjtq/YacLG93baYt0UYuFyZbM3Bgt0K3iIiISNUodIuI+CzZ0V2+X4iOXugO2jkCA1PVC9nQ0LW602nI5UZtOyIiIiLy3hS6RUR8lukaOrFZsaZu1PoNOTmCxgvd+WyQZO2wE7RptFtERESkKhS6RUR8lu0eCt1/6ntj1PoN2jkCZmikuy8ybKVCt4iIiEhVKHSLiPgs3xsv38+GRuca3eCNdAeM9zafzwTpCbtDKxW6RURERKpCoVtExGfF3j4A8k6IQsgZtX4Ddh4HsI1FIRuie3jo7ukZte2IiIiIyHtT6BYR8ZMxuAOhOxWswRnFd2XbMoQCWQJY5LNBOiMljPEuTUZ39/6fLCIiIiKjQqFbRMRPqRT5rHf97FSoFnv0BroBCAUyBAZGulMhm/zgudQUukVERESqQqFbRMRP8Ti5vDftOxWsIzDKoTsczBA0Nm7JplQMkK6v8Vb09UGpNLobExEREZG9KHSLiPipv78cupOhWhzHGtXuc3uaKfWNA7wzmCcbQt4KY6C3dz/PFBEREZHRoNAtIuKneJz8QOjOhGpwbIdLN/1x1LoPOTkC7uAZzEP01w47O7qmmIuIiIhUnEK3iIif4nHyBe/kZrm6MDajd8kwgLCTwXEd2LWLXDpEb+2w+esK3SIiIiIVp9AtIuKn/v5y6HZjdViM7vTykJMtj3Tn0mF6osNWKnSLiIiIVJxCt4iIj0o9cYpFg8Fia1fdqPcfdtLeSDeQS4XpjAw7eZpCt4iIiEjFKXSLiPgo19mLwZANRAhERndqOXjTyy0gbAXJZ8J0k4baWm+lQreIiIhIxfkaup955hkuueQSJk+ejGVZPPLII36WIyJSXaUSmR7vDOLJUC2R0ChfLwwIO1kAIlaAXCpMupCm0NjgrUwkIJ8f9W2KiIiIyBBfQ3cqlWLmzJn89Kc/9bMMERF/JBJkswUAUqFaIqHAqG/CsUsE7Tw1Vojn3n6Vla+u5Duv/WyoQVfXqG9TRERERIaM/n94B+Giiy7ioosu8rMEERH/xOOkc0UAUsFaakJhqMDAc9jJELUm4GbrMAa66oZ93rpnD0yePPobFRERERHA59B9sHK5HLlcrvy4v7/fx2pERA5TPE4mOxS6T9z2LDO6nh/1zYSdDDVWiHE9BUy+ho5aYPCttKNj1LcnIiIiIkOOqBOpLV++nFgsVr5NnTrV75JERA5dXx+ZwZHuUC0No39INwCRQJoaKwSAm6mnvdYMrdyzpzIbFRERERHgCAvdy5YtIx6Pl287duzwuyQRkUPX00Mm613CKxFuoNEZ3Wt0D4oEUkTwzoxeytTTH3SHzmCu0C0iIiJSUUfU9PJwOEw4HPa7DBGR0dHbSzbvApAI1RErWOyuwGbCThrbsggam2ymgXwpj2lpwdq6FVIpSCahbvSvES4iIiIiR9hIt4jIUaWnh1zOJROIUHBCNDqVeUuOBNIAhIxN61aH47f0km6uH2qg0W4RERGRivF1pDuZTLJ58+by461bt/Lyyy8zbtw4jj32WB8rExGpsEIBEglyeUMiXE844hIpVuag7kggBUDQWORzMQB664PUDjbo6IATTqjItkVEREQ+6Hwd6V63bh2zZs1i1qxZACxdupRZs2Zx0003+VmWiEjl9fYCkM9DIlRPXa2FRWWO6Q7ZOQK2S8i1KeYaAOiqGxbwNdItIiIiUjG+jnTPnz8fY8z7NxQROdr09FAouhRLhkS4gYZ6GyqUfS0LXun8L4ImRiHXiDHQHi15K4yB9vbKbFhEREREdEy3iIgventJZvIA9IfqaWoIVXRzNeF+QsbGuA7FfD3t+W5oafFWdnR4Q+4iIiIiMuoUukVE/NDTQzLtBd1EuJ6mWLCimyt1xAhg4RiLQmYc7cl2zDHHeCtdF3btquj2RURERD6oFLpFRPzQ00MyUwC8Y7onNIVZs21NxTZXE0wCEDEO+WwT2WKWxITYUIOdOyu2bREREZEPMoVuERE/9PaSyhQp2AGygQgt4yIV3Vw0kAAg5NoUso0AtDcNG13fsaOi2xcRERH5oFLoFhGpNteFvj7S2SKJcANYFhObayq6yejAZcMixiafaQZgZygDkYGwv3Ond1I1ERERERlVCt0iItXW0wOuSzrr0h+uB2DSf/26opsMOxkCTp6wOxC616+nPbUHpkzxGqRS0NdX0RpEREREPogUukVEqq2jA4BMtkRfpAmASVFnf884bJYFdZFeAli42RjFYoDdid0wdepQI00xFxERERl1Ct0iItU2ELqzWUNvpJG6Wpu1z1V+s/XRbiwswsYmnYyRyCdItzYPNdi6tfJFiIiIiHzAKHSLiFRbRwdFt0QuD32RJppigapstj7SA0DY2KSSjQDsbLIhOHBCtc2bdVy3iIiIyChT6BYRqbaODvpTWUoE6A/XM76pstfoHlTc5Y1qR1yHZKIRgO2pXTBtmtcgkYDOzqrUIiIiIvJBodAtIlJNxSL09BBP5YhHYhjLZuKEcFU2XRfsAyDqOiT6xwHwTt87cMIJQ402b65KLSIiIiIfFArdIiLV1NUFrkt/qkBvpBGASRMqe43uQUGnQE2onwAWJtmKcS3aEm0Uph831EihW0RERGRUKXSLiFTTwEnUEqlC+czlx0yordrmY7Xe9utMHam+WlzjsjOYgcZGr8E770AuV7V6RERERI52Ct0iItU0ELqTqWJ5pHvaxFjVNh+r8bbfaNXQ3+ldI/yd/u1w0kleg1IJNm2qWj0iIiIiRzuFbhGRahoM3ekifdEmAnaAKa3VG+k27THSXROI2VHiHV7Y39a3DU47bajRK69UrR4RERGRo51Ct4hItRgDbW2U3BJ9hTDJYC1NDUHCYatqJTSEenCsEhErSH59DmNgR3wHn3nmS9DkTXdnyxbvTOYiIiIictgUukVEqqW/H1Ip+jNp9gRbwbKY1BKqagm2ZWgIe9frrsm1kH12E6V1a0kXM3D66V4jY+DVV6tal4iIiMjRSqFbRKRa2toA6OnP0lUzHoApk6pzubDhGsPetbjH27X09kwEIJlPDoVugPXrvfAtIiIiIodFoVtEpFp27gSgOz4UuqdProe7765qGeMi7QC8uXsD/Z3HApAqpCg1NcK0aV7g7u7WCdVERERERoFCt4hItWzfDkBfIk9nzQQAXl07jmeeqW4Z9aFe6sIFLCzs3hMolRymv93D9vh2mDdvqOGzz2q0W0REROQwKXSLiFRDPg+7dmGMYYdbQzYYJeyEaW6o3pnLB1kWfKg1DkCjaaC78xgAXu14FU48ERoavIZtbd5J1URERETkkCl0i4hUw86d4LpkChm2mikANMeiRCKwZtsa1mxbU9VyTp3snUyt2a6je/fxAGzo2EDeLXjBe9ATT3jX7hYRERGRQ6LQLSJSDW+/DUBnf4K2sDeyfPyxEazqXS1shO2vJwgHUziWTaDnwxTzteRLeTZ0bIDJk+EYr0Y6O+FPf/KnSBEREZGjgEK3iEg1bN4MwO6eNLvqJwPwkeObfCvHtmBK8xsAtFqNxPecAcCLu1/05p9ffDHlTwS+/30vfIuIiIjIQVPoFhGptP5+2LMHYwxvuVFygQi2ZXP6ieO5fe3tvpVV11Pi6b9sYePuV8juPpNi3mFn/052lHq80e45c7yGpRL88pfecekiIiIiclAUukVEKm3jRsC7LNfrrneJrlg4xrTjHD+rIhLI0FK7AwuLumwDO1+fCsCTuU0YY+CCC6ClxWvc2Qn/+Z86vltERETkICl0i4hU2uuvA9De381G+2QAPnRcjPVfuptLN/3Rz8qY1rCRTNd4GtwAnRtPJtVXw7ZSN1t6t8C990I2C87AhwObNsEjj4Dr+lqziIiIyJFEoVtEpJL6+mD7dowxbEwb+sLecdx/6L2n6mcsH25w2zXBJFPq38LCYsOejdz/yz6Ma/HEff+boilBXR3Mncu/v/YgK19dycqVy+DBByGXK/d1yYOX+PUyRERERMY8hW4RkUp68UUwhnguzjprGlgWsXCMholj58Rk02OvUxOOc8r2DBPeHs/bb51Bp5vkidxr3jTzCRN49q8mY+yBE6u99Rbccw/s2uVv4SIiY8Xdd3s3EZF9UOgWEamUYtEL3cA78V2sL54JwPQJk6ht3eNnZSM4domphTZsy9BaDNO2bQbbt85gXeEdnsx7x3efurGb//exKeRDA1PNu7rg5z+H1asJ5nWct4iIiMh7CfhdgIjI0eiSBy/hpLf7+D/FTxLPxllLA0mrgZAT4r9TP2eyPbaOi26MdDEluZM3emZzcus4Nr15Bvl8BHPSy2wrdbMnkGPmKx0UHQsmTYLdu1n5l3+Hv/w7/zPk8I9vncNbxzfyy//1uN8vRURERGRMUegWEamAQKHEqRu7KZ1QYlPXGzwb/BwA0xqnMW/ns6wj6HOFe5tct418KUJu52c5aYrLW9sgER9H9tQ/8WpNH46xaKwJMu1/TOPE18IUNhhmbOln8/QYH9nYzYw3eiD6IJxyCnzoQxCN+v2SRERERHyn0C0iUgEzN3QRyRbZ2LWR1yMtvJOcRn2onpknTKTzhSbeeXIec/D3zOX7Mi22iUn1p9EeOJYaK8xbfSH+/FwzyZoiTcespTuQ5dm253n27fW81tJHV7ZErJTlI9uzOFiwciXMng2W5V1u7NhjvdvkyTBunLdcRERE5ANEoVtEZLRt3MhJm3vpzydYve0ZnpvyEzZ0bGDmHou2rlsIW2HfLxW2P7sT/5erPnMJf/frnaR3Hc+ppx3LczvOZUf7bKLjX6f3v3YSa7JJRWye/JDN7olBLnYSzGm3KZoSgfXrveC9Zw8r//BjLj/tcq/jcBgmTvSmp0+a5N2fMAHsgzu9yODZ0n/z+d+M9ksXETkkzzzjff34F/2tQ0TGJoVuEZHR9NZbdP/7z+nL9VEquawOfIpsYRL1oSwTa7YQ2hOGI2Cwd/vrSU6xX2FbfZHszuNo6J1KAxDM1FMqnkqbnaQ7ewJufRvdgRzPNu7kT6097Go2zO+J8uG33sTpT0BoWKe5HPznfw49nj0bXnoJGhpg4cKhMN7SAgH9eRIREZGjw5j4r+anP/0pP/jBD2hvb2fmzJn85Cc/4ayzzvK7LBGRA5fPk1r9O3Y8sYr2xG6KeYe/FM5hbXQeV7bOZFd6G6dPe5Ls1ql+V3rAAnaJE5teZe7kSax8bQ/tqWkUuloZf0wdUMfu7pOIv3UWDa+naWvqBuBXjRP5bU2CcTU5zpoSoX9zgd0nn0csvZto3+6RnzesX+997euDdeuGltu2NwI+OBo+fjw0N0MsdtCj4iIiIiJ+8z10r1q1iqVLl3LnnXdy9tlnc9ttt/HpT3+aN954g5aWFr/LExF5b6US7N5N6pX1tD31a3Z3bCWXcUj2NPFK9wU8MemvaAw3MK42hjHWERW4h6sLFTip6S9Mj22gOzOZUyfH2NFbR7prAkFgfLqBQG2G3ekova5DT08jqRjs2ANtyU/y/L1dNNoxYoFmJgdPZGqpj0mlbmKFLmL5LmryfQT/3+uEAyVCAZdwoETAMd5I+DAl2yLXUMO1j6xn3enNbA+ugNparHAUOxwmFK0jXFNPOFJH6Jf/geU4cPXV4DjeyLnjDN0U3kVERKRKLGOM8bOAs88+m7lz53L77bcD4LouU6dOZcmSJdx44437fW5/fz+xWIx4PE5DQ0M1yhWRI9xnV34WgIcXPkzADmBZFriudyuVvFuxCPn8yFsuh0kkKfYmyPf207/9Hfq2bqWzt5eeZJrN7btxs3U0R4/l5clzeNQJ85GdOV4OzCQ2fTOh+sSYPo77YJ037Tx+//ZzJPMx0sV6MsU6MsVaxsVO4S2TgKY0fXHoy/bRGGkkZbdRSNfSGGmkMQa7Em04xqKpdDx5NtOaT3BmTSPjcn005XppKPbiWAXeDnRzXNNUSuQxfV1YlqEn202qzgHLMK3xWCzbYFmwte9tjh83Hcs2dG1/nUl1rbwV6MMCZk6cSdAJENy5i6Bt80JwD+ed+CmCoQjBUJhgKILz6mswdy5WwAvmVmAgrAccrGGPB9fjOBjbwTgBL8TbNsayh+7bTvmxHRi6OeEAdtDBCTnYwaFbuV9jvP1x4OuVv1qEMS4rPnsPAcvBNnj77eBJ6fb11bbhgQfgqquGHg/e9vd4eL8i4v0eDvwNIJMp3/LxDKmuDOnuDJmeNE/8+N8ouEFmXfo/iUYD1MZC1LXW0TCploZJtQRitVBT492iUR1CI3KUONA86utvfD6fZ/369Sxbtqy8zLZtzj//fJ5//nkfKxtdv/0tpFKH9twJG9YQ7u/c57psMcv2+PZ9rrMGPksxGDjcj1UOsAvrvVoNW7yvj3je83l7P33k8w7i86LhLa3h9RzoN8cM/BO6320e6roDaHrQP0Mz8knmYP6JfvfGzIE9/31+Hof/c7QG+jEH9DzjlsAtgVsc+FrCKpWY25fFdg0P3P4FHONiu2BhYWGXb7ZlYVk21mDdxuCagTxeKlHq7/M2Ul8PBIEYwe4Ub9ZMYtu4C2iyjifX5tKce4prwncRbCsc4Gs8soScHOOiHYyjo7zsvGlhXAO7iwU2NPXydM9b1NRMY0dPBsJ5AoEa+uIh8tlaAMKRLH3ZOrqoo81thOAkCELALTIt2k+mvY0pnRbHtAYIJkK0BFLksxBMQyYSIFEa+AOXSBDItdLXHYD6ehKdH6bQGyEbbSCaLbI1OXBweSJGNgvdVh3P93SNeD1WIomz+yWc/oS3TzQ2QV8vNDZ5Ifc9GGO8KfKNjSNX9PV6+09j4z7X7/WZt+WCZTC4gIuxXIwxnN3p7T//9/6bvXbxuJeNY03Y8Tg0Ng7ss96ebA3e7+nBevRNrIM8iYCxrIGbvfd9Bu7bw/rcs8crf8IEsIb/bg78rg6//+5fW8u7WQPbBe8DFDOs5n3eN+/9PrDX9oe1sTDQ4f1NNS0tI7Zlyj/jwcf72L411JO3+ACfa418Dd52GbFu7zr2emWDL/A91g/WOPz5I/syB9ruPWp49/Lh3xss6/3+DHjN3rfR/te/+/l77VJm4OdszMBX77H3PDNyfyi32butZVyCxTzBYr68lVLJUCxaFIve3wNjDK5xMRiKuTQWsO3pJ4b6H/h9tC2LUNgQCBgCAQvHsSg5AYrBMMVgCNd2MI6Nazu4ljPw+2UN+7G8++ez13dlv98zkbGsuWY842qaAYud51y21/pLL/U+jz7S+Rq6u7q6KJVKtLa2jlje2trKpk2b9mqfy+XI5XLlx/F4HPA+YRjLXnkFDrXE0/6ykVj/jn2uy5fyZJK7D6MykaNcMul9rasDIJGEYi5KIJKlt7MXgMj4OhJJCGaT5cfZroH7kaHnDvaXoI5gtoCxIF7I095wHLujx7I7mCOcreWvEnVMsN7iSvu3BOvzlAyUilV7xVWTKmTIFvf+MCFVyADQCHyUetxEirPH1fFE4AUykQInHPMh4laKv3RvJmOCTKibxvbebkqlKM2h6RTyUQrFKIV8lC35IN2RRnaGmskFphMb107QdUiaPdS5eaKFPFPSdQRMAccuEqeDcdRgJ/IkgiEaQjWkc31YVokJNS04xiXXZ+MEXbopkUjXEM72ETAlbGNwAHtPD5ZxCRgXUumBF5UmEoFsduRrLUSG9o1gNlX+dDUS8ZYNti+UbILZdLkf6rx9bPj9QqSO+sHuBvYzgPo6SKbCAKQ7XerrINvv/YMdCRbJxg2FXMF7bjI5Yn/N9hYpZJJD/Q70Dd52SSbJZr19ftDg78KIeoatG74skRx87d6dQrxUrrlcw7teW/l1D9awPwO1Jti7lsH15frf9bu+1+MRry/j1WC633Ob71Xb8J/bfus+nPX78Z7vTcO8++e0r/XBbHLEz300ajtoB7Ot9/m57M+I78fA79b+vj/v5f1+9lnXez/MlPL77mCfn70mDr4QkaNMKNyIFYlhgJcin95r/fnnj+2JIYM59P0mj/s6vXzXrl0cc8wxPPfcc5xzzjnl5X//93/P008/zZ/+9KcR7b/1rW/x7W9/u9plioiIiIiIiOzTjh07mDJlynuu9/Vzg/Hjx+M4DnsGpqYN2rNnDxMnTtyr/bJly1i6dGn5seu69PT00NzcvN+pf2NBf38/U6dOZceOHTr+XI4K2qflaKT9Wo422qflaKT9WsYKYwyJRILJkyfvt52voTsUCjF79myefPJJFixYAHhB+sknn+T666/fq304HCYcDo9Y1vjuY+jGuIaGBr05yFFF+7QcjbRfy9FG+7QcjbRfy1gQi8Xet43vM+SXLl3KVVddxZw5czjrrLO47bbbSKVSXH311X6XJiIiIiIiInJYfA/dCxcupLOzk5tuuon29nbOOOMMnnjiib1OriYiIiIiIiJypPE9dANcf/31+5xOfjQJh8PcfPPNe02PFzlSaZ+Wo5H2aznaaJ+Wo5H2aznS+Hr2chEREREREZGjme13ASIiIiIiIiJHK4VuERERERERkQpR6BYRERERERGpEIXuKtu2bRvXXHMN06dPJxqNcsIJJ3DzzTeTz+f9Lk3koPz0pz9l2rRpRCIRzj77bNauXet3SSKHZPny5cydO5f6+npaWlpYsGABb7zxht9liYya733ve1iWxQ033OB3KSKHpa2tjSuuuILm5mai0SinnXYa69at87sskfel0F1lmzZtwnVd7rrrLl577TV+/OMfc+edd/KNb3zD79JEDtiqVatYunQpN998My+++CIzZ87k05/+NB0dHX6XJnLQnn76aRYvXswLL7zA6tWrKRQKXHDBBaRSKb9LEzlsf/7zn7nrrrs4/fTT/S5F5LD09vYyb948gsEgjz/+OK+//jo/+tGPaGpq8rs0kfels5ePAT/4wQ+444472LJli9+liByQs88+m7lz53L77bcD4LouU6dOZcmSJdx4440+VydyeDo7O2lpaeHpp5/m4x//uN/liByyZDLJmWeeyc9+9jO++93vcsYZZ3Dbbbf5XZbIIbnxxhv54x//yH//93/7XYrIQdNI9xgQj8cZN26c32WIHJB8Ps/69es5//zzy8ts2+b888/n+eef97EykdERj8cB9L4sR7zFixdz8cUXj3i/FjlS/frXv2bOnDlcdtlltLS0MGvWLO655x6/yxI5IArdPtu8eTM/+clP+NKXvuR3KSIHpKuri1KpRGtr64jlra2ttLe3+1SVyOhwXZcbbriBefPmceqpp/pdjsghe+ihh3jxxRdZvny536WIjIotW7Zwxx13cNJJJ/H73/+e6667jq985Svcd999fpcm8r4UukfJjTfeiGVZ+71t2rRpxHPa2tq48MILueyyy7j22mt9qlxERAYtXryYDRs28NBDD/ldisgh27FjB3/7t3/LAw88QCQS8bsckVHhui5nnnkmt956K7NmzeKLX/wi1157LXfeeaffpYm8r4DfBRwt/u7v/o6/+Zu/2W+b448/vnx/165dnHfeeZx77rncfffdFa5OZPSMHz8ex3HYs2fPiOV79uxh4sSJPlUlcviuv/56HnvsMZ555hmmTJnidzkih2z9+vV0dHRw5plnlpeVSiWeeeYZbr/9dnK5HI7j+FihyMGbNGkSp5xyyohlM2bM4D/+4z98qkjkwCl0j5IJEyYwYcKEA2rb1tbGeeedx+zZs7n33nuxbU04kCNHKBRi9uzZPPnkkyxYsADwPn1+8sknuf766/0tTuQQGGNYsmQJDz/8ME899RTTp0/3uySRw/LJT36SV199dcSyq6++mpNPPpl/+Id/UOCWI9K8efP2upzjm2++yXHHHedTRSIHTqG7ytra2pg/fz7HHXccP/zhD+ns7Cyv0yihHCmWLl3KVVddxZw5czjrrLO47bbbSKVSXH311X6XJnLQFi9ezMqVK3n00Uepr68vn5sgFosRjUZ9rk7k4NXX1+91ToLa2lqam5t1rgI5Yn31q1/l3HPP5dZbb+Vzn/sca9eu5e6779aMUTkiKHRX2erVq9m8eTObN2/ea/qirt4mR4qFCxfS2dnJTTfdRHt7O2eccQZPPPHEXidXEzkS3HHHHQDMnz9/xPJ77733fQ8bEhGR6pg7dy4PP/wwy5Yt45/+6Z+YPn06t912G4sWLfK7NJH3pet0i4iIiIiIiFSIDiYWERERERERqRCFbhEREREREZEKUegWERERERERqRCFbhEREREREZEKUegWERERERERqRCFbhEREREREZEKUegWERERERERqRCFbhEREREREZEKUegWERGR/dq2bRuWZfHyyy/7XYqIiMgRR6FbRESkip5//nkcx+Hiiy8e1X4Hg/HgLRQKceKJJ/Ld734XY8yobktEREQOXMDvAkRERD5IVqxYwZIlS1ixYgW7du1i8uTJo9r/H/7wBz7ykY+Qy+V49tln+cIXvsCkSZO45pprRnU7wxljKJVKBAL6t0JEROTdNNItIiJSJclkklWrVnHddddx8cUX84tf/AKAyy+/nIULF45oWygUGD9+PPfffz8AruuyfPlypk+fTjQaZebMmfzqV7/aaxvNzc1MnDiR4447jkWLFjFv3jxefPHFEW1+/vOfM2PGDCKRCCeffDI/+9nPRqxfu3Yts2bNIhKJMGfOHF566aUR65966iksy+Lxxx9n9uzZhMNhnn32WebPn8+SJUu44YYbaGpqorW1lXvuuYdUKsXVV19NfX09J554Io8//ni5r97eXhYtWsSECROIRqOcdNJJ3HvvvYf8PRYRERlrFLpFRESq5Je//CUnn3wyH/7wh7niiiv413/9V4wxLFq0iN/85jckk8ly29///vek02n++q//GoDly5dz//33c+edd/Laa6/x1a9+lSuuuIKnn376Pbe3bt061q9fz9lnn11e9sADD3DTTTdxyy23sHHjRm699Va++c1vct999wHeBwOf/exnOeWUU1i/fj3f+ta3+NrXvrbP/m+88Ua+973vsXHjRk4//XQA7rvvPsaPH8/atWtZsmQJ1113HZdddhnnnnsuL774IhdccAFXXnkl6XQagG9+85u8/vrrPP7442zcuJE77riD8ePHH943WkREZCwxIiIiUhXnnnuuue2224wxxhQKBTN+/HizZs2a8v3777+/3Pbzn/+8WbhwoTHGmGw2a2pqasxzzz03or9rrrnGfP7znzfGGLN161YDmGg0ampra00wGDSA+eIXvzjiOSeccIJZuXLliGXf+c53zDnnnGOMMeauu+4yzc3NJpPJlNffcccdBjAvvfSSMcaYNWvWGMA88sgjI/r5xCc+YT760Y+WHxeLRVNbW2uuvPLK8rLdu3cbwDz//PPGGGMuueQSc/XVVx/gd1BEROTIo4OvREREquCNN95g7dq1PPzwwwAEAgEWLlzIihUrmD9/Pp/73Od44IEHuPLKK0mlUjz66KM89NBDAGzevJl0Os2nPvWpEX3m83lmzZo1YtmqVauYMWMGhUKBDRs2sGTJEpqamvje975HKpXi7bff5pprruHaa68tP6dYLBKLxQDKo9aRSKS8/pxzztnna5ozZ85eywZHvAEcx6G5uZnTTjutvKy1tRWAjo4OAK677jouvfTS8ij4ggULOPfcc9/nuykiInLkUOgWERGpghUrVlAsFkecOM0YQzgc5vbbb2fRokV84hOfoKOjg9WrVxONRrnwwgsBytPOf/vb33LMMceM6DccDo94PHXqVE488UQAZsyYwdtvv803v/lNvvWtb5X7ueeee0ZMOQcvIB+s2travZYFg8ERjy3LGrHMsizAO0Yd4KKLLuKdd97hd7/7HatXr+aTn/wkixcv5oc//OFB1yMiIjIWKXSLiIhUWLFY5P777+dHP/oRF1xwwYh1CxYs4MEHH+TLX/4yU6dOZdWqVTz++ONcdtll5bB6yimnEA6H2b59O5/4xCcOatuO41AsFsnn87S2tjJ58mS2bNnCokWL9tl+xowZ/Nu//RvZbLY82v3CCy8cwqs+cBMmTOCqq67iqquu4mMf+xhf//rXFbpFROSoodAtIiJSYY899hi9vb1cc8015Wncgy699FJWrFjBl7/8ZS6//HLuvPNO3nzzTdasWVNuU19fz9e+9jW++tWv4rouH/3oR4nH4/zxj3+koaGBq666qty2u7ub9vZ2isUir776Kv/yL//CeeedR0NDAwDf/va3+cpXvkIsFuPCCy8kl8uxbt06ent7Wbp0KZdffjn/+I//yLXXXsuyZcvYtm1bRQPwTTfdxOzZs8uXOXvssceYMWNGxbYnIiJSbQrdIiIiFbZixQrOP//8vQI3eKH7+9//Pq+88gqLFi3illtu4bjjjmPevHkj2n3nO99hwoQJLF++nC1bttDY2MiZZ57JN77xjRHtzj//fMAb4Z40aRKf+cxnuOWWW8rrv/CFL1BTU8MPfvADvv71r1NbW8tpp53GDTfcAEBdXR2/+c1v+PKXv8ysWbM45ZRT+Od//mcuvfTSUf6ueEKhUDncR6NRPvaxj5WPZRcRETkaWMYY43cRIiIiIiIiIkcjXadbREREREREpEIUukVEREREREQqRKFbREREREREpEIUukVEREREREQqRKFbREREREREpEIUukVEREREREQqRKFbREREREREpEIUukVEREREREQqRKFbREREREREpEIUukVEREREREQqRKFbREREREREpEIUukVEREREREQq5P8DMB9DS6taCEQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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gcuXKrF69GkhujW3btm26Y2Ps2bOHiIgIunbtqvfZamhoSO3atdXP1rCwMM6cOUPv3r2xtbVVt2/evDnly5dPN462bdum+zn45Zdf6pVLqdvPz0+v+3vlypVp3rw5O3bsyNHxw3/30m/ZsiXDz+yc/F15Va5dIcSbR7qXCyH01KpVK1sDqX355ZesWbOGEydOMGHChAy/kGWkaNGiabrgXr16lYsXL+Lo6JjuNg8ePNB7njphAtQvicWLF093eXh4uLofIMOu3JCcrBQqVCjTYyhdujTNmjVLs/zIkSOZbgdw48YNXFxc0nxBzmiUeDMzszTnpVChQuox5bWHDx8SGxtL2bJl06wrV64cOp2OW7duUaFCBTWRPnz4MMWKFeP06dOMHz8eR0dHdVq1w4cPY2NjozfoU05s27aN8ePHc+bMGb37MNMbKfz56wL0z9XDhw+Ji4ujdOnSacqVLVs2W1/+L168yOnTp+nVqxfBwcHqcm9vb+bMmUNUVBQ2NjbZOrYXkdKFN/WPTEePHmX06NEcO3Ysza0OkZGReslUenQ6HTNnzmTu3LmEhobq3aea0j0/M/b29vj4+LBp0ybmz5+PmZkZq1atwsjIiE6dOqnlzp8/z3fffcf+/fvTJKHZ+XEgK8HBwSiKwvfff8/333+fbpkHDx5QtGhRfvjhB9q2bUuZMmWoWLEiLVu2pGfPnlSuXDnH+83JeydFejNGZEe3bt2YOnUqQ4cO5Y8//khzL3OKlM+8lETzeSnX6o0bNwAyfG+k96NLsWLF0v0cvH37tt7zlLozOi+7du3K1iByqXXu3JlFixbh7+/P119/TdOmTWnfvj0ffvih+sNRTv6uvCrXrhDizSNJtxAiV65du6Z+kUsZvCwnUrcUpNDpdFSqVIlp06alu83zyXRGLUMZLVf+f1CvlBaRyZMnZzid2cuY4zYnctoK9jK5urri7u7OoUOHcHNzQ1EU6tSpg6OjI5999hk3btzg8OHD1K1bV/0inBOHDx+mTZs2NGzYkLlz5+Li4oKxsTEBAQHpDnqU1eufF1asWAHA0KFDGTp0aJr1GzZsSNOTIz/8+++/wH8/1oSEhNC0aVO8vLyYNm0axYsXx8TEhB07djB9+vRs9eCYMGEC33//PR999BHjxo2jcOHCGBgY8Pnnn2d72rsePXqwbds2tm3bRps2bdiwYYN6Dz0kD8DXqFEjbGxs+OGHH/Dw8MDMzIxTp07x1VdfZbqfjKZke34Qq5Q6hg8fnmEPhpTz1rBhQ0JCQtiyZQu7d+9m0aJFTJ8+nfnz5+Pv75+tY34R6X0eZkfXrl355ptv6NevH/b29rRo0SLdcinnYvny5ekOZpiTXkovQ3ZfY3Nzcw4dOsSBAwfYvn07O3fuZO3atTRp0oTdu3djaGiY478r+XntCiHeXq/Wp6wQ4rWg0+nw8/PDxsaGzz//nAkTJvDhhx/Svn17tUxu5ir28PDg7NmzNG3aNM/nOn5+P5DcupNeC83LULJkSQ4cOJBmqrTUraYFydHREQsLC7XLeGqXLl3CwMBA78tqgwYNOHToEO7u7lStWhVra2uqVKmCra0tO3fu5NSpU4wdOzZXsWzYsAEzMzN27dqFqampujwgICBX9Tk6OmJubp5uV+L0jvd5iqKwatUqGjduzMCBA9OsHzduHCtXrsz3pFur1bJq1SosLCyoX78+AFu3biUhIYHffvtNr8X/+VszIOP36Pr162ncuDGLFy/WWx4REYGDg0O2YmvTpg3W1tasWrUKY2NjwsPD9brnBgUF8fjxYzZu3EjDhg3V5aGhoVnWndIDJSIiQm95SktqipSu3cbGxtl6nxcuXJg+ffrQp08foqOjadiwIWPGjMlx0p3T986LKFGiBPXq1SMoKIgBAwZkmDynfOY5OTllei5SRmPP7XsjMyl1Z3ReHBwc1FbuQoUKpXl9Ie1rDMm35TRt2pSmTZsybdo0JkyYwMiRIzlw4IB6q0lO/q7k57UrhHh7yT3dQogcmzZtGn/88QcLFy5k3Lhx1K1blwEDBuiNYJvy5Sm9L04Z6dSpE3fu3OGXX35Jsy4uLi7bo/pmpUaNGnh4eDBlypR0R9hNmXs3P/n4+PDs2TO9Y9XpdMyZMyff950dhoaGtGjRgi1btuhNt3b//n1WrVpF/fr19bpPN2jQgOvXr7N27Vq1u7mBgQF169Zl2rRpPHv2LNf3cxsaGqLRaPRaua5fv55mNPuc1Ofj48PmzZu5efOmuvzixYvs2rUry+2PHj3K9evX6dOnDx9++GGaR+fOnTlw4AB3797NVXzZodVqGTJkCBcvXmTIkCHqa5HSyp+6VT8yMjLdHygsLS3TfX8aGhqm6RXw66+/qvc/Z4e5uTkffPABO3bsYN68eVhaWtK2bVu9fTwfZ2JiInPnzs2y7pIlS2JoaMihQ4f0lj+/rZOTE97e3ixYsICwsLA09aR+nz9+/FhvnZWVFZ6enmmmKsyOnL53XtT48eMZPXo0gwcPzrCMj48PNjY2TJgwgWfPnqVZn3IuXFxcqFq1KkuXLtXrJr1nzx4uXLjwQnGmrjv1dffvv/+ye/du3nvvPXWZh4cHkZGR/PPPP+qysLCwNFOXPXnyJM1+Unovpbx2Of27kp/XrhDi7SUt3UIIPb///nu6A8HUrVuXUqVKcfHiRb7//nv8/Pzw9fUFkqdPqVq1KgMHDmTdunVA8pcmOzs75s+fj7W1NZaWltSuXTvTexd79uzJunXr+OSTTzhw4AD16tVDq9Vy6dIl1q1bx65du7J1v3lWDAwMWLRoEa1ataJChQr06dOHokWLcufOHQ4cOICNjQ1bt2594f1kpl27dtSqVYsvvviC4OBgvLy8+O2339Qvkblt6ffz82Pp0qWEhoZma/qdJUuWpDu90Geffcb48ePVOXAHDhyIkZERCxYsICEhgf/973965VMS6suXLzNhwgR1ecOGDfn9998xNTVV525PERQUROPGjRk9ejRjxozJMMbWrVszbdo0WrZsSbdu3Xjw4AFz5szB09NT70t5TowdO5adO3fSoEEDBg4cSFJSErNmzaJChQpZ1rly5UoMDQ3TTFWWok2bNowcOZI1a9YwbNiwXMWXWmRkpNqdPTY2luDgYDZu3EhISAhdunRh3LhxatkWLVpgYmKCr68vH3/8MdHR0fzyyy84OTmlSTxr1KjBvHnzGD9+PJ6enjg5OdGkSRPef/99fvjhB/r06UPdunU5d+4cK1eu1BsULDt69OjBsmXL2LVrF927d9e7V7du3boUKlSI3r17M2TIEDQaDcuXL8/WLQC2trZ07NiRWbNmodFo8PDwYNu2bWnGfIDkgSHr169PpUqV6NevH6VKleL+/fscO3aM27dvq3OPly9fHm9vb2rUqEHhwoX5+++/Wb9+PYMGDcrRMafIyXvnRTVq1IhGjRplWsbGxoZ58+bRs2dPqlevTpcuXXB0dOTmzZts376devXqMXv2bCB56sXWrVtTv359PvroI548eaK+N9L7kTInJk+eTKtWrahTpw59+/ZVpwyztbXV+wzo0qULX331FR988AFDhgxRpzcrU6aM3n3lP/zwA4cOHaJ169aULFmSBw8eMHfuXIoVK6b2/sjN35X8unaFEG+xghk0XQjxqslsyjD+fxqepKQk5Z133lGKFSumN52MoijKzJkzFUBZu3atumzLli1K+fLlFSMjI72pfDKbBikxMVH56aeflAoVKiimpqZKoUKFlBo1aihjx45VIiMj1XKA8umnn+ptm9H0PSlTDP366696y0+fPq20b99esbe3V0xNTZWSJUsqnTp1Uvbt25fpucpoPylSprXJbMowRVGUhw8fKt26dVOsra0VW1tbxc/PTzl69KgCKGvWrNHbNvX0P8/vJ7UOHToo5ubmSnh4eKbHkNXrfevWLUVRFOXUqVOKj4+PYmVlpVhYWCiNGzdW/vjjj3TrdHJyUgDl/v376rIjR44ogNKgQYM05bdu3Zru1HHpWbx4sVK6dGnF1NRU8fLyUgICAtI9/vSuC0VRlJIlSyq9e/fWW3bw4EGlRo0aiomJiVKqVCll/vz56daZWmJiomJvb5/u8aTm7u6uVKtWTVGUF58yLPXrYmVlpZQuXVrp0aOHsnv37nS3+e2335TKlSsrZmZmipubm/LTTz8pS5Ys0Zs2T1GSp4tq3bq1Ym1trQDq9GHx8fHKF198obi4uCjm5uZKvXr1lGPHjimNGjVKd4qxjCQlJSkuLi4KoOzYsSPN+qNHjyrvvvuuYm5urri6uiojRoxQdu3ala1z9fDhQ6VDhw6KhYWFUqhQIeXjjz9Wp9B6fprCkJAQpVevXoqzs7NibGysFC1aVHn//feV9evXq2XGjx+v1KpVS7Gzs1PMzc0VLy8v5ccff1QSExMzPcbMPguy897JztR92d1fahl9Zhw4cEDx8fFRbG1tFTMzM8XDw0Px8/NT/v77b71yGzZsUMqVK6eYmpoq5cuXVzZu3Jju65DR+y2zY9u7d69Sr149xdzcXLGxsVF8fX2VCxcupNl+9+7dSsWKFRUTExOlbNmyyooVK9K8P/ft26e0bdtWcXV1VUxMTBRXV1ela9euypUrV/Tqyu7flRT5ee0KId5OGkWRn+aEEOJVsXnzZj744AOOHDlCvXr1crx9kSJF6NWrF5MnT86H6PLWiBEjWL16NcHBwXr3agshhBBCvEnknm4hhCggcXFxes+1Wi2zZs3CxsaG6tWr57i+8+fPExcXx1dffZVXIearAwcO8P3330vCLYQQQog3mrR0CyFEAfH39ycuLo46deqQkJDAxo0b+eOPP5gwYQLffPNNQYcnhBBCCCHygCTdQghRQFatWsXUqVMJDg4mPj4eT09PBgwYkOvBm4QQQgghxKtHkm4hhBBCCCGEECKfyD3dQgghhBBCCCFEPpGkWwghhBBCCCGEyCeSdAshhBBCCCGEEPlEkm4hhBBCCCGEECKfSNIthHitaDQaxowZU9BhZCooKAiNRkNQUFBBh/LGGzNmDBqNpqDDeCkmT55MqVKlMDQ0pGrVqgUdjnhLvQ6fwc9L7zPZz88PNze3fN/363i+hBB5T5JuIUSBCgwMRKPR6D2cnJxo3Lgxv//+e0GH91KEhITw8ccfU6pUKczMzLCxsaFevXrMnDmTuLi4gg4PgLlz5xIYGFjQYeSan5+f3jVmY2NDlSpVmDp1KgkJCWq5lCQ+5WFhYUGJEiXw9fUlICBAr2xGdad+7Ny5M0/i3717NyNGjKBevXoEBAQwYcKEbG3XqVMnNBoNX331VZ7EkR2PHz/myy+/pGzZspiZmVG4cGF8fHzYtm3bS4vhVZfd6zGvXLhwgTFjxnD9+vU8r/t1ikEIIQqKUUEHIIQQAD/88APu7u4oisL9+/cJDAzkvffeY+vWrbz//vtqubi4OIyM3pyPru3bt9OxY0dMTU3p1asXFStWJDExkSNHjvDll19y/vx5Fi5cWNBhMnfuXBwcHPDz8yvoUHLN1NSURYsWARAREcGGDRsYPnw4f/31F2vWrNErO2/ePKysrEhISODOnTvs2rWLjz76iBkzZrBt2zaKFy+eYd2pValSJU9i379/PwYGBixevBgTE5NsbRMVFcXWrVtxc3Nj9erVTJo0Kd97BVy+fJmmTZvy8OFD+vTpQ82aNYmIiGDlypX4+voyfPhwJk+enK8xvC5ycj2+qAsXLjB27Fi8vb1fSuvuqxpDar/88gs6nS7f9/Om/c0SQuSOfAoIIV4JrVq1ombNmurzvn37UqRIEVavXq2XdJuZmRVEePkiNDSULl26ULJkSfbv34+Li4u67tNPPyU4OJjt27cXYIRvFiMjI3r06KE+HzhwILVr12bt2rVMmzYNV1dXdd2HH36Ig4OD+nzUqFGsXLmSXr160bFjR/78889M685rDx48wNzcPNsJN8CGDRvQarUsWbKEJk2acOjQIRo1apRvMT579owPP/yQ8PBwDh06RO3atdV1Q4cOpXv37kyZMoWaNWvSuXPnfIvjdZGT61HkPWNj45eynzfpb5YQIveke7kQ4pVkZ2eHubl5mhaC5++PS+kOHBwcjJ+fH3Z2dtja2tKnTx9iY2PTbDto0CA2b95MxYoVMTU1pUKFCul2Ab5z5w4fffQRRYoUUcstWbIkTbnbt2/Trl07LC0tcXJyYujQodnuHvq///2P6OhoFi9erJdwp/D09OSzzz5TnyclJTFu3Dg8PDwwNTXFzc2Nb7/9Ns3+MrqH0M3NTa+lOqVr/9GjRxk2bBiOjo5YWlrywQcf8PDhQ73tzp8/z8GDB9XusN7e3pke25QpU6hbty729vaYm5tTo0YN1q9fn6ZcTl6TI0eO8M4772BmZoaHhwcLFizINIasGBgYqMeRnS6v3bt3x9/fn+PHj7Nnz54X2neK7LymGo2GgIAAYmJi1POfna7+K1eupHnz5jRu3Jhy5cqxcuVKdd3ff/+NRqNh6dKlabbbtWsXGo1Grzt4dt4PGzZs4N9//+Xrr7/WS7gBDA0NWbBgAXZ2dmmuzfj4eMaMGUOZMmUwMzPDxcWF9u3bExISopbR6XTMnDmTSpUqYWZmhqOjIy1btuTvv/8Gkl+/jM5LRp8Zly5dolOnTtjY2GBvb89nn31GfHx8luc1v6R3PT548ED9AdLMzIwqVaqk+5qtWbOGGjVqYG1tjY2NDZUqVWLmzJlA8vu8Y8eOADRu3Fi9hrIacyIhIYGhQ4fi6OiItbU1bdq04fbt22nK3bhxg4EDB1K2bFnMzc2xt7enY8eOeu+prGLYsmULrVu3xtXVFVNTUzw8PBg3bhxarTZb5+7OnTv07dtX3d7d3Z0BAwaQmJiY4TbP39Odcg1NmTKF6dOnU7JkSczNzWnUqBH//vtvmm2trKy4du0aPj4+WFpa4urqyg8//ICiKHplX+RvVlxcHEOGDMHBwUF9De7cuSP3iQvxGpKWbiHEKyEyMpJHjx6hKAoPHjxg1qxZREdHZ7v1sFOnTri7uzNx4kROnTrFokWLcHJy4qefftIrd+TIETZu3MjAgQOxtrbm559/pkOHDty8eRN7e3sA7t+/z7vvvqsmhI6Ojvz+++/07duXqKgoPv/8cyD5C1HTpk25efMmQ4YMwdXVleXLl7N///5sxbx161ZKlSpF3bp1s1Xe39+fpUuX8uGHH/LFF19w/PhxJk6cyMWLF9m0aVO26kjP4MGDKVSoEKNHj+b69evMmDGDQYMGsXbtWgBmzJjB4MGDsbKyYuTIkQAUKVIk0zpnzpxJmzZt6N69O4mJiaxZs4aOHTuybds2WrdurVc2O6/JuXPnaNGiBY6OjowZM4akpCRGjx6dZRxZSUnsUvaTlZ49e7Jw4UJ2795N8+bN9dY9evRI77mxsTG2traZ1ped13T58uUsXLiQEydOqN2Rs7pm7t69y4EDB9QErWvXrkyfPp3Zs2djYmJCzZo1KVWqFOvWraN37956265du5ZChQrh4+MDZP/9sHXrVgB69eqVbky2tra0bduWpUuXEhwcjKenJ1qtlvfff599+/bRpUsXPvvsM54+fcqePXv4999/8fDwAJJ7vgQGBtKqVSv8/f1JSkri8OHD/Pnnn3o9ZHKiU6dOuLm5MXHiRP78809+/vlnwsPDWbZsWa7qywupr8e4uDi8vb0JDg5m0KBBuLu78+uvv+Ln50dERIT6g9yePXvo2rUrTZs2VT/vLl68yNGjR/nss89o2LAhQ4YM4eeff+bbb7+lXLlyAOq/GfH392fFihV069aNunXrsn///jTvXYC//vqLP/74gy5dulCsWDGuX7/OvHnz8Pb25sKFC1hYWGQZQ2BgIFZWVgwbNgwrKyv279/PqFGjiIqKyvJ2hLt371KrVi0iIiLo378/Xl5e3Llzh/Xr1xMbG5uj3iEAy5Yt4+nTp3z66afEx8czc+ZMmjRpwrlz5/Q+b7RaLS1btuTdd9/lf//7Hzt37mT06NEkJSXxww8/ZLmf7PzN8vPzY926dfTs2ZN3332XgwcPpvsaCCFeA4oQQhSggIAABUjzMDU1VQIDA9OUB5TRo0erz0ePHq0AykcffaRX7oMPPlDs7e3TbGtiYqIEBwery86ePasAyqxZs9Rlffv2VVxcXJRHjx7pbd+lSxfF1tZWiY2NVRRFUWbMmKEAyrp169QyMTExiqenpwIoBw4cyPC4IyMjFUBp27ZthmVSO3PmjAIo/v7+esuHDx+uAMr+/fv1jjP1OUpRsmRJpXfv3urzlHPfrFkzRafTqcuHDh2qGBoaKhEREeqyChUqKI0aNcpWrIqiqOcoRWJiolKxYkWlSZMmesuz+5q0a9dOMTMzU27cuKEuu3DhgmJoaKhk509Z7969FUtLS+Xhw4fKw4cPleDgYGXChAmKRqNRKleurJZLuZ4ePnyYbj3h4eEKoHzwwQd6dad3DWd1vnLymqbEn11TpkxRzM3NlaioKEVRFOXKlSsKoGzatEkt88033yjGxsbKkydP1GUJCQmKnZ2d3vspu++HqlWrKra2tpnGNW3aNAVQfvvtN0VRFGXJkiUKoEybNi1N2ZRrcv/+/QqgDBkyJMMyoaGhCqAEBASkKZPRZ0abNm30yg0cOFABlLNnz2Z6DHkhO9djyufLihUr1O0SExOVOnXqKFZWVupr+9lnnyk2NjZKUlJShvv79ddfs/xMSi3l2hw4cKDe8m7duqU5n8+/1xVFUY4dO6YAyrJly7IVQ3p1fPzxx4qFhYUSHx+faay9evVSDAwMlL/++ivNupTr48CBA2n23bt3b6VkyZLq85RryNzcXLl9+7a6/Pjx4wqgDB06VG9bQBk8eLDevlq3bq2YmJjofX7k9m/WyZMnFUD5/PPP9cr5+fll+BkvhHh1SfdyIcQrYc6cOezZs4c9e/awYsUKGjdujL+/Pxs3bszW9p988one8wYNGvD48WOioqL0ljdr1kxtPQOoXLkyNjY2XLt2DQBFUdiwYQO+vr4oisKjR4/Uh4+PD5GRkZw6dQqAHTt24OLiwocffqjWZ2FhQf/+/bOMNyUua2vrbB3fjh07ABg2bJje8i+++ALghe797t+/v94AWw0aNECr1XLjxo1c12lubq7+Pzw8nMjISBo0aKCeu9Syek20Wi27du2iXbt2lChRQi1Xrlw5tTU2O2JiYnB0dMTR0RFPT0++/fZb6tSpk6NeAlZWVgA8ffpUb7mZmZl6/aY8pk6dmmld+fmarly5ktatW6vXV+nSpalRo4ZeF/POnTvz7NkzvffY7t27iYiIUO+5zsn74enTp1lezynrU67/DRs24ODgwODBg9OUTbkmN2zYgEajYfTo0RmWyY1PP/1U73lKDCmvS37L6nrcsWMHzs7OdO3aVd3G2NiYIUOGEB0dzcGDB4HkW3FiYmLy7JaHlH0DDBkyRG95Sq+G1FK/1589e8bjx4/x9PTEzs4u3fd7elLX8fTpUx49ekSDBg2IjY3l0qVLGW6n0+nYvHkzvr6+6fZ4yM310a5dO4oWLao+r1WrFrVr1073uhg0aJDevgYNGkRiYiJ79+7Ncj9Z/c1KucVm4MCBeuXSe68IIV590r1cCPFKqFWrlt6Xpq5du1KtWjUGDRrE+++/n2UXwdTJGEChQoWA5ITPxsYmw3IpZcPDwwF4+PAhERERLFy4MMNRwx88eAAk38vo6emZ5otd2bJlM40VUGN6PnnLyI0bNzAwMMDT01NvubOzM3Z2di+UIGd27nJr27ZtjB8/njNnzqS5Pzmr/afEkPo1iYuLo3Tp0mnKlS1bNttJkpmZmdoFOuW+z2LFimVr2xTR0dFA2h9LDA0NadasWY7qyq/X9OLFi5w+fZpevXoRHBysLvf29mbOnDlERUWpU1R5eXmxdu1a+vbtCyR3LXdwcKBJkyZAzt4P1tbWabrYPy/lek85fyEhIZQtWzbT0Z1DQkJwdXWlcOHC2TwD2fP89eTh4YGBgUGm9/dHR0er1wAkv+6Ojo5ERkbqTe9nYmKSZbxZXY83btygdOnSGBjot4+kdMlOuT4GDhzIunXraNWqFUWLFqVFixZ06tSJli1bZrp/IMO4U67N1D+GQfqfbXFxcUycOJGAgADu3Lmjd09zZGRkljEAnD9/nu+++479+/en+aE0szoePnxIVFQUFStWzNZ+siO9z5kyZcqwbt06vWUGBgaUKlUqTTnI3hgRWf3NSnkN3N3d9co9/3khhHg9SNIthHglGRgY0LhxY2bOnMnVq1epUKFCpuUNDQ3TXa48N6hNVuVSppDp0aNHmntdU1SuXDnTWLLDxsYGV1fXNAP0ZOVFWvYyGpQou+cuuw4fPkybNm1o2LAhc+fOxcXFBWNjYwICAli1alW+7z8juUmMn5fyeuXlF9+8nsZrxYoVQPKI4UOHDk2zfsOGDfTp0wdIbu3+8ccfefToEdbW1vz222907dpVTYJz8n4oV64cZ86c4ebNm+n+kALwzz//AFC+fPkXOMK0MjqH2R2IK7M6UpsyZQpjx45Vn5csWZLr16/z2Wef6Q1w1qhRoywHKsuL6xHAycmJM2fOsGvXLn7//Xd+//13AgIC6NWrV7qDrqWWm7ifN3jwYAICAvj888+pU6cOtra2aDQaunTpkq0puSIiImjUqBE2Njb88MMPeHh4YGZmxqlTp/jqq69eyrReBeFlfe4JIV4NknQLIV5ZSUlJAHotS/ktZaRerVab5RfikiVL8u+//6Ioit4X9suXL2drX++//z4LFy7k2LFj1KlTJ8t96XQ6rl69qjcA0v3794mIiKBkyZLqskKFChEREaG3fWJiImFhYdmKKz05SQw3bNiAmZkZu3btwtTUVF0eEBCQq307Ojpibm7O1atX06zL7rnOK8uXLwfIUbf2jOTkNc0uRVFYtWoVjRs3TtMtFWDcuHGsXLlSL+keO3YsGzZsoEiRIkRFRdGlSxe1fE7eD++//z6rV69m2bJlfPfdd2nWR0VFsWXLFry8vNQfLTw8PDh+/DjPnj3LcAonDw8Pdu3axZMnTzJsPU5pJXz+us+st8DVq1f1WhGDg4PR6XSZziHdq1cv6tevrz5P6RY9YsQIvUEfU+J5ESVLluSff/5Bp9PptXandLdOfX2YmJjg6+uLr68vOp2OgQMHsmDBAr7//vt0e+OkyCjulGszpSdCivTeb+vXr6d37956t1PEx8eneS0yiiEoKIjHjx+zceNGGjZsqC4PDQ1Nt3xqjo6O2NjY5PjHy8yk9zlz5cqVNNeFTqfj2rVraut2SjkgT+YhT3kNQkND9VrfU/deEUK8PuSebiHEK+nZs2fs3r0bExOTLEfZzUuGhoZ06NBBnf7oeamn0nrvvfe4e/eu3lRYsbGxGXbDfd6IESOwtLTE39+f+/fvp1kfEhKiTvvz3nvvAckjiac2bdo0AL0RbT08PDh06JBeuYULF+ao1e95lpaWab5EZ8TQ0BCNRqO3v+vXr7N58+Zc7dvQ0BAfHx82b97MzZs31eUXL15k165duaozN1atWsWiRYuoU6cOTZs2feH6cvKaZtfRo0e5fv06ffr04cMPP0zz6Ny5MwcOHODu3btAcut0pUqVWLt2LWvXrsXFxUUv8cnJ++HDDz+kfPnyTJo0SZ3KK4VOp2PAgAGEh4fr3ZvdoUMHHj16xOzZs9PUndLi16FDBxRF0Wthfr6MjY0NDg4Oaa77uXPnZniu5syZo/d81qxZALRq1SrDbUqVKkWzZs3UR7169YDklvvUy2vUqJFhHdn13nvvce/ePXUWAUj+IXLWrFlYWVmpc64/fvxYbzsDAwO190HKrR2WlpZA2h8lMoo75Rz8/PPPeuWfv1Yh+Rp5vnV21qxZaT5vMoohpcU3dR2JiYmZvnYpDAwMaNeuHVu3bk1zzT1fZ3Zt3ryZO3fuqM9PnDjB8ePH070uUl+3iqIwe/ZsjI2N8+TzIeWHvefPQ8p1KoR4vUhLtxDilfD777+rLTgPHjxg1apVXL16la+//lrvnuyXYdKkSRw4cIDatWvTr18/ypcvz5MnTzh16hR79+7lyZMnAPTr14/Zs2fTq1cvTp48iYuLC8uXL8fCwiJb+/Hw8GDVqlV07tyZcuXK0atXLypWrEhiYiJ//PGHOj0QQJUqVejduzcLFy5Uu2OeOHGCpUuX0q5dOxo3bqzW6+/vzyeffEKHDh1o3rw5Z8+eZdeuXTg4OOT6nNSoUYN58+Yxfvx4PD09cXJyUu/7fV7r1q2ZNm0aLVu2pFu3bjx48IA5c+bg6empdi/OqbFjx7Jz504aNGjAwIED1eSjQoUKua4zM+vXr8fKyorExETu3LnDrl27OHr0KFWqVOHXX3/Nk33k5DXNrpUrV2JoaJhhwt6mTRtGjhzJmjVr1AHcOnfuzKhRozAzM6Nv375p7iHO7vvBxMSE9evX07RpU+rXr0+fPn2oWbMmERERrFq1ilOnTvHFF1/otaT36tWLZcuWMWzYME6cOEGDBg2IiYlh7969DBw4kLZt29K4cWN69uzJzz//zNWrV2nZsiU6nY7Dhw/TuHFjdTArf39/Jk2ahL+/PzVr1uTQoUNqy2N6QkNDadOmDS1btuTYsWPq9FhVqlTJ8XnPD/3792fBggX4+flx8uRJ3NzcWL9+PUePHmXGjBnqffH+/v48efKEJk2aUKxYMW7cuMGsWbOoWrWq+oNl1apVMTQ05KeffiIyMhJTU1OaNGmCk5NTuvuuWrUqXbt2Ze7cuURGRlK3bl327duXbivr+++/z/Lly7G1taV8+fIcO3aMvXv3ppmGL6MY6tatS6FChejduzdDhgxBo9GwfPnybCfMEyZMYPfu3TRq1Ij+/ftTrlw5wsLC+PXXXzly5Ah2dnY5OOvJt47Ur1+fAQMGkJCQwIwZM7C3t2fEiBF65czMzNi5cye9e/emdu3a/P7772zfvp1vv/0WR0fHHO0zPTVq1KBDhw7MmDGDx48fq1OGpVzTeX1bihAin73cwdKFEEJfelOGmZmZKVWrVlXmzZunN5WVomQ8/crzUzyl1BsaGqq37aeffpomhuen0lIURbl//77y6aefKsWLF1eMjY0VZ2dnpWnTpsrChQv1yt24cUNp06aNYmFhoTg4OCifffaZsnPnzhxNz3PlyhWlX79+ipubm2JiYqJYW1sr9erVU2bNmqU3Xc6zZ8+UsWPHKu7u7oqxsbFSvHhx5ZtvvkkzpY5Wq1W++uorxcHBQbGwsFB8fHyU4ODgDKcMe36qnfSm17l3757SunVrxdraOlvTYS1evFgpXbq0Ympqqnh5eSkBAQHqa5VaTl6TgwcPKjVq1FBMTEyUUqVKKfPnz0+3zvRkd8qtlPpSX4vFihVT3n//fWXJkiXpTl+U0+m8Usvua5qdfSQmJir29vZKgwYNMi3n7u6uVKtWTX1+9epV9XiPHDmS7jbZfT8oiqI8ePBAGTZsmOLp6amYmpoqdnZ2SrNmzdRpwp4XGxurjBw5Uj0Hzs7OyocffqiEhISoZZKSkpTJkycrXl5eiomJieLo6Ki0atVKOXnypF49ffv2VWxtbRVra2ulU6dOyoMHDzL8zLhw4YLy4YcfKtbW1kqhQoWUQYMGKXFxcZmeu7yS3Wvm/v37Sp8+fRQHBwfFxMREqVSpUppp0davX6+0aNFCcXJyUkxMTJQSJUooH3/8sRIWFqZX7pdfflFKlSqlTrOX1edTXFycMmTIEMXe3l6xtLRUfH19lVu3bqU5n+Hh4WqMVlZWio+Pj3Lp0qV038MZxXD06FHl3XffVczNzRVXV1dlxIgRyq5du7L9OXrjxg2lV69eiqOjo2JqaqqUKlVK+fTTT5WEhARFUXI2ZdjkyZOVqVOnKsWLF1dMTU2VBg0apJlGLuX1CwkJUVq0aKFYWFgoRYoUUUaPHq1otVq9si/yNysmJkb59NNPlcKFCytWVlZKu3btlMuXLyuAMmnSpCzPixDi1aFRFBmxQQghhBBvhzFjxjB27FgePnz4Qr0/xJvl+vXruLu7M3nyZIYPH55pWT8/P9avX/9SxxtJcebMGapVq8aKFSvo3r37S9+/ECJ35J5uIYQQQgghXjGpp3NLMWPGDAwMDPTGXhBCvPrknm4hhBBCCCFeMf/73/84efIkjRs3xsjISJ0Srn///hQvXrygwxNC5IAk3UIIIYQQQrxi6taty549exg3bhzR0dGUKFGCMWPGMHLkyIIOTQiRQ3JPtxBCCCGEEEIIkU/knm4hhBBCCCGEECKfSNIthBBCCCGEEELkk7funm6dTsfdu3extrZGo9EUdDhCCCGEEEIIIV5DiqLw9OlTXF1dMTDIuD37rUu67969KyM+CiGEEEIIIYTIE7du3aJYsWIZrn/rkm5ra2sg+cTY2NgUcDRCCCGEEEIIIV5HUVFRFC9eXM0xM/LWJd0pXcptbGwk6RZCCCGEEEII8UKyum1ZBlITQgghhBBCCCHyiSTdQgghhBBCCCFEPpGkWwghhBBCCCGEyCdv3T3dQgghhBBCZEan05GYmFjQYQghCpixsTGGhoYvXI8k3UIIIYQQQvy/xMREQkND0el0BR2KEOIVYGdnh7Ozc5aDpWVGkm4hhBBCCCEARVEICwvD0NCQ4sWLY2Agd2IK8bZSFIXY2FgePHgAgIuLS67rkqRbCCGEEEIIICkpidjYWFxdXbGwsCjocIQQBczc3ByABw8e4OTklOuu5vLznRBCCCGEEIBWqwXAxMSkgCMRQrwqUn6Ae/bsWa7rkKRbCCGEEEKIVF7k3k0hxJslLz4PCjTpPnToEL6+vri6uqLRaNi8eXOW2wQFBVG9enVMTU3x9PQkMDAw3+MUQgghhBBCCCFyo0CT7piYGKpUqcKcOXOyVT40NJTWrVvTuHFjzpw5w+eff46/vz+7du3K50iFEEIIIYR4vQUGBmJnZ5ejbfz8/GjXrl2+xJMb3t7efP7551mWa9iwIatWrcr/gFIZM2YMVatWfan7fJXk5voqaF26dGHq1Kn5vp8CHUitVatWtGrVKtvl58+fj7u7u3piypUrx5EjR5g+fTo+Pj75FaYQQgghhHiL+a72fan729p1a47K+/n5ERERkabXaFBQEI0bNyY8PBw7Ozs6d+7Me++9l4eRvpp+++037t+/T5cuXdRlbm5u3Lhxg9WrV+stB6hQoQIXLlwgICAAPz+/PItjzJgxbN68mTNnzugtv379Ou7u7pw+ffqVSNI3bNhAp06duHnzJkWLFk2zvnTp0vj6+jJt2rQCiC73Uq7/54WFheHs7AzAd999R8OGDfH398fW1jbfYnmt7uk+duwYzZo101vm4+PDsWPHMtwmISGBqKgovYcQQoj0Pf/F8mV/0RRCCJF/zM3NcXJyKugw8t3PP/9Mnz590kz5Vrx4cQICAvSW/fnnn9y7dw9LS8uXGeIrpU2bNtjb27N06dI06w4dOkRwcDB9+/bNk33dvHkzT+rJicuXLxMWFqY+Ur8HKlasiIeHBytWrMjXGF6rpPvevXsUKVJEb1mRIkWIiooiLi4u3W0mTpyIra2t+ihevPjLCFUIIYQQQohXSnrdf8ePH4+TkxPW1tb4+/vz9ddfp9v6OmXKFFxcXLC3t+fTTz/NciTniIgI/P39cXR0xMbGhiZNmnD27Fl1fUpX7OXLl+Pm5oatrS1dunTh6dOnapmYmBh69eqFlZUVLi4u2eoG/PDhQ/bv34+vb9ofjbt3787Bgwe5deuWumzJkiV0794dIyP9DsBZxQ8wadIkihQpgrW1NX379iU+Pj7L+DJy8OBBatWqhampKS4uLnz99dckJSWp693c3JgxY4beNlWrVmXMmDFA8pzSY8aMoUSJEpiamuLq6sqQIUPUsgkJCQwfPpyiRYtiaWlJ7dq1CQoKAsDY2JiePXumO1bWkiVLqF27NhUqVGDatGlUqlQJS0tLihcvzsCBA4mOjs7RcTZq1Ih3332XefPmER4enqNtc8vJyQlnZ2f18fyPMb6+vqxZsyZfY3itku7c+Oabb4iMjFQfqd9kQgghhBBCvK1WrlzJjz/+yE8//cTJkycpUaIE8+bNS1PuwIEDhISEcODAAZYuXUpgYGCWgxl37NiRBw8e8Pvvv3Py5EmqV69O06ZNefLkiVomJCSEzZs3s23bNrZt28bBgweZNGmSuv7LL7/k4MGDbNmyhd27dxMUFMSpU6cy3e+RI0ewsLCgXLlyadYVKVIEHx8ftUU3NjaWtWvX8tFHH+U4/nXr1jFmzBgmTJjA33//jYuLC3Pnzs00tozcuXOH9957j3feeYezZ88yb948Fi9ezPjx47Ndx4YNG5g+fToLFizg6tWrbN68mUqVKqnrBw0axLFjx1izZg3//PMPHTt2pGXLlly9ehWAvn37cvXqVQ4dOqRuEx0dzfr169VWbgMDA37++WfOnz/P0qVL2b9/PyNGjMjRsR46dIg2bdrw888/4+LiQqdOndi+fbs6XV9qhw8fxsrKKtPHypUrs9xn1apVcXFxoXnz5hw9ejTN+lq1anHixAkSEhJydCw5UaD3dOeUs7Mz9+/f11t2//59bGxs1InLn2dqaoqpqenLCE8IIYQQQogCsW3bNqysrPSWpZfIpDZr1iz69u1Lnz59ABg1ahS7d+9O03pZqFAhZs+ejaGhIV5eXrRu3Zp9+/bRr1+/dOs9cuQIJ06c4MGDB+r38ClTprB582bWr19P//79AdDpdAQGBmJtbQ1Az5492bdvHz/++CPR0dEsXryYFStW0LRpUwCWLl1KsWLFMj2mGzduUKRIkTStmSk++ugjvvjiC0aOHMn69evx8PBI07KfnfhnzJhB37591YR0/Pjx7N27N01r97lz59K8Loqi6D2fO3cuxYsXZ/bs2Wg0Gry8vLh79y5fffUVo0aNyvBYUrt58ybOzs40a9YMY2NjSpQoQa1atdR1AQEB3Lx5E1dXVwCGDx/Ozp07CQgIYMKECZQvX553332XJUuW0LBhQyD5hwVFUdR74FMPYOfm5sb48eP55JNPcvRjQ/Hixfn222/59ttvOXHiBMuWLcPPzw8jIyO6d++On58fFStWBKBmzZpp7od/3vO9oFNzcXFh/vz51KxZk4SEBBYtWoS3tzfHjx+nevXqajlXV1cSExO5d+8eJUuWzPax5MRr1dJdp04d9u3bp7dsz5491KlTp4AiEkIIIYQQouClzO6T+rFo0aJMt7l8+bKamKV4/jkkDzRmaGioPndxceHBgwcATJgwQa/l8ebNm5w9e5bo6Gjs7e311oWGhhISEqLW4+bmpibcz9cbEhJCYmIitWvXVtcXLlyYsmXLZnpMcXFxmJmZZbi+devWREdHc+jQIZYsWZJuK3d24r948aJebEC6OUnZsmXTvC47duzQK3Px4kXq1KmjNx90vXr1iI6O5vbt25keb4qOHTsSFxdHqVKl6NevH5s2bVK7p587dw6tVkuZMmX0jufgwYN6r8dHH33E+vXr1S7+S5YsoWPHjuprtHfvXpo2bUrRokWxtramZ8+ePH78mNjY2GzF+LxatWoxe/Zs7ty5Q7du3Zg2bRo9evRQ15ubm+Pp6ZnpI/X187yyZcvy8ccfU6NGDerWrcuSJUuoW7cu06dP1yuX0nib2+PIjgJt6Y6OjiY4OFh9HhoaypkzZyhcuDAlSpTgm2++4c6dOyxbtgyATz75hNmzZzNixAg++ugj9u/fz7p169i+fXtBHYIQQgghhBAFztLSEk9PT71l2U3YsmJsbKz3XKPRoNPpgOTv5506dVLXubq6Eh0djYuLi3rPcGqp7ynPrN7ccnBwyPReYSMjI3r27Mno0aM5fvw4mzZtSlMmu/Fnh4mJSZrX5fn7x7PDwMAgTQt56vvqixcvzuXLl9m7dy979uxh4MCBTJ48mYMHDxIdHY2hoSEnT57U+/EE0GuF79KlC0OHDmXdunU0bNiQo0ePMnHiRCB5xPX333+fAQMG8OOPP1K4cGGOHDlC3759SUxMxMLCIsfHdPnyZZYvX86KFSuIjIykX79+egO2HT58OMuZrhYsWED37t2zvc9atWpx5MgRvWUptww4OjrmIPqcKdCk+++//9Ybxn3YsGEA9O7dm8DAQMLCwvRGuHN3d2f79u0MHTqUmTNnUqxYMRYtWiTThQkhhBBCCJFDZcuW5a+//qJXr17qsr/++itHdRQuXJjChQvrLatevTr37t3DyMgINze3XMXm4eGBsbExx48fp0SJEgCEh4dz5coVGjVqlOF21apV4969e4SHh1OoUKF0y3z00UdMmTKFzp07p1smO/GXK1eO48eP6527P//8MwdHqF/Xhg0bUBRFbe0+evQo1tbWand6R0dHwsLC1G2ioqIIDQ3Vq8fc3BxfX198fX359NNP8fLy4ty5c1SrVg2tVsuDBw9o0KBBhnFYW1vTsWNHlixZQkhICGXKlFHLnzx5Ep1Ox9SpU9Xu7uvWrcvxsT569Ig1a9awfPlyTp48SfPmzZk0aRLt2rVL00PhRbuXp+fMmTO4uLjoLfv3338pVqwYDg4OOaorJwo06fb29k7zi01q6Q3Q4O3tzenTp/MxKiGEEEIIId58gwcPpl+/ftSsWZO6deuydu1a/vnnH0qVKvVC9TZr1ow6derQrl07/ve//1GmTBnu3r3L9u3b+eCDD6hZs2aWdVhZWdG3b1++/PJL7O3tcXJyYuTIkVne31ytWjUcHBw4evQo77//frplypUrx6NHjzJsnc1O/J999hl+fn7UrFmTevXqsXLlSs6fP5+rczdw4EBmzJjB4MGDGTRoEJcvX2b06NEMGzZMPd4mTZoQGBiIr68vdnZ2jBo1Sq/VOjAwEK1WS+3atbGwsGDFihWYm5tTsmRJ7O3t6d69O7169WLq1KlUq1aNhw8fsm/fPipXrkzr1q3Vevr27UuDBg24ePEiX331lbrc09OTZ8+eMWvWLHx9fTl69Cjz58/P8bHWrl0bMzMzevfuzebNm9MkwKmldC/PrRkzZuDu7k6FChWIj49n0aJF7N+/n927d+uVO3z4MC1atMj1frLjtRpITQghhBBCCJE3unfvzrVr1xg+fDjx8fF06tQJPz8/Tpw48UL1ajQaduzYwciRI+nTpw8PHz7E2dmZhg0b5qhlcvLkyURHR+Pr64u1tTVffPEFkZGRmW5jaGhInz59WLlyZYZJN4C9vf0Lxd+5c2dCQkIYMWIE8fHxdOjQgQEDBrBr165sH1+KokWLsmPHDr788kuqVKlC4cKF6du3L999951a5ptvviE0NJT3338fW1tbxo0bp9fSbWdnx6RJkxg2bBharZZKlSqxdetW9TgDAgIYP348X3zxBXfu3MHBwYF33303zTmqX78+ZcuWJTg4WK8Vv0qVKkybNo2ffvqJb775hoYNGzJx4kS9Mtmxfft2vLy8cnyOciMxMVE9XgsLCypXrszevXv1elrHx8ezefNmdu7cma+xaJTMmprfQFFRUdja2hIZGYmNjU1BhyOEEK8U39W+bO26NcPnQgjxJouPjyc0NBR3d/dMB+N6kzVv3hxnZ2eWL19e0KHk2r1796hQoQKnTp3Kt9GoxZth3rx5bNq0KU3rd2qZfS5kN7d8rUYvF0II8XrwXe1b0CEIIYTIQmxsLNOmTeP8+fNcunSJ0aNHs3fvXnr37l3Qob0QZ2dnFi9erDc2lBDpMTY2ZtasWfm+H+leLoQQQgghxFsopRv1jz/+SHx8PGXLlmXDhg00a9asoEN7Ye3atSvoEMRrwN/f/6XsR5JuIYQQQggh3kLm5ubs3bu3oMMQ4o0n3cuFEEIIIYQQQoh8Ikm3EEIIIYQQQgiRTyTpFkIIIYQQQggh8okk3UIIIYQQQgghRD6RpFsIIYQQQgghhMgnknQLIYQQQgghhBD5RJJuIYQQQggh3nBBQUFoNBoiIiIACAwMxM7OrkBjEuJtIfN0CyGEEEIIkYmFC1/u/vr3z912x44do379+rRs2ZLt27e/cBwajUb9v4WFBa6urtSrV4/BgwdTo0aNHNXl7e1N1apVmTFjxgvHJcTrRlq6hRBCCCGEeAMsXryYwYMHc+jQIe7evZsndQYEBBAWFsb58+eZM2cO0dHR1K5dm2XLluVJ/UK8DSTpFkIIIYQQ4jUXHR3N2rVrGTBgAK1btyYwMDBP6rWzs8PZ2Rk3NzdatGjB+vXr6d69O4MGDSI8PByAx48f07VrV4oWLYqFhQWVKlVi9erVah1+fn4cPHiQmTNnotFo0Gg0XL9+Ha1WS9++fXF3d8fc3JyyZcsyc+bMPIlbiFeJJN1CCCGEEEK85tatW4eXlxdly5alR48eLFmyBEVR8mVfQ4cO5enTp+zZsweA+Ph4atSowfbt2/n333/p378/PXv25MSJEwDMnDmTOnXq0K9fP8LCwggLC6N48eLodDqKFSvGr7/+yoULFxg1ahTffvst69aty5e4hSgock+3EEIIIYQQr7nFixfTo0cPAFq2bElkZCQHDx7E29s7z/fl5eUFwPXr1wEoWrQow4cPV9cPHjyYXbt2sW7dOmrVqoWtrS0mJiZYWFjg7OysljM0NGTs2LHqc3d3d44dO8a6devo1KlTnsctREGRpFsIIYQQQojX2OXLlzlx4gSbNm0CwMjIiM6dO7N48eJ8SbpTWtBTBlrTarVMmDCBdevWcefOHRITE0lISMDCwiLLuubMmcOSJUu4efMmcXFxJCYmUrVq1TyPWYiCJEm3EEIIIYQQr7HFixeTlJSEq6urukxRFExNTZk9eza2trZ5ur+LFy8CyS3TAJMnT2bmzJnMmDGDSpUqYWlpyeeff05iYmKm9axZs4bhw4czdepU6tSpg7W1NZMnT+b48eN5Gq8QBU2SbiGEEEIIIV5TSUlJLFu2jKlTp9KiRQu9de3atWP16tV88sknebrPGTNmYGNjQ7NmzQA4evQobdu2Vbu363Q6rly5Qvny5dVtTExM0Gq1evUcPXqUunXrMnDgQHVZSEhInsYqxKtAkm4hhBBCCCFeU9u2bSM8PJy+ffumadHu0KEDixcvfqGkOyIignv37pGQkMCVK1dYsGABmzdvZtmyZdjZ2QFQunRp1q9fzx9//EGhQoWYNm0a9+/f10u63dzcOH78ONevX8fKyorChQtTunRpli1bxq5du3B3d2f58uX89ddfagu6EG8KGb1cCCGEEEKI19TixYtp1qxZul3IO3TowN9//80///yT6/r79OmDi4sLXl5eDBgwACsrK06cOEG3bt3UMt999x3Vq1fHx8cHb29vnJ2dadeunV49w4cPx9DQkPLly+Po6MjNmzf5+OOPad++PZ07d6Z27do8fvxYr9VbiDeFRsmvuQReUVFRUdja2hIZGYmNjU1BhyOEEK8U39W+bO26NcPnua1HCCFeB/Hx8YSGhuLu7o6ZmVlBhyOEeAVk9rmQ3dxSWrqFEEIIIYQQQoh8Ikm3EEIIIYQQQgiRTyTpFkIIIYQQQggh8okk3UIIIYQQQgghRD6RpFsIIYQQQgghhMgnknQLIYQQQgghhBD5RJJuIYQQQgghhBAin0jSLYQQQgghhBBC5BNJuoUQQgghhBBCiHwiSbcQQogs+a72xXe1b7rLhRBCiPwQFBSERqMhIiIi03L79u2jXLlyaLXalxPY/9NoNGzevPml7vNV4ubmxowZMwo6jGx79OgRTk5O3L59+6Xv2+il71EIIYQQQojXycKFL3d//fvnqLifnx8RERFvbQI4YsQIvvvuOwwNDQEIDAykT58+eHl5cfHiRb2yv/76K506daJkyZJcv349T+PQaDRs2rSJdu3a6S1/1V6fSpUqUa9ePebPn59m3fLly/H39+fOnTs4ODgUQHS5t3DhQlatWsWpU6d4+vQp4eHh2NnZqesdHBzo1asXo0ePZvHixS81NmnpFkIIIYQQQryWjhw5QkhICB06dNBbbmlpyYMHDzh27Jje8sWLF1OiRImXGeIrp2/fvqxZs4a4uLg06wICAmjTps1LSbhjYmJ4/PhxntUXGxtLy5Yt+fbbbzMs06dPH1auXMmTJ0/ybL/ZIUm3EEIIIYQQb7CDBw9Sq1YtTE1NcXFx4euvvyYpKQmAbdu2YWdnp3bNPnPmDBqNhq+//lrd3t/fnx49emS6jy1btlC9enXMzMwoVaoUY8eOVfcBya3AixYt4oMPPsDCwoLSpUvz22+/6dWxY8cOypQpg7m5OY0bN85WS/SaNWto3rw5ZmZmesuNjIzo1q0bS5YsUZfdvn2boKAgunXrluP4r169SsOGDTEzM6N8+fLs2bMny9gykpCQwJAhQ3BycsLMzIz69evz119/qesDAwP1WmgBNm/ejEajUZ+fPXuWxo0bY21tjY2NDTVq1ODvv/9W1x85coQGDRpgbm5O8eLFGTJkCDExMQD06NGDuLg4NmzYoLeP0NBQgoKC6Nu3LyEhIbRt25YiRYpgZWXFO++8w969e3N9zCkUReHgwYP06dMHZ2dnjhw58sJ1pvj888/5+uuveffddzMsU6FCBVxdXdm0aVOe7Tc7JOkWQgghhBDiDXXnzh3ee+893nnnHc6ePcu8efNYvHgx48ePB6BBgwY8ffqU06dPA8kJuoODA0FBQWodBw8exNvbO8N9HD58mF69evHZZ59x4cIFFixYQGBgID/++KNeubFjx9KpUyf++ecf3nvvPbp37662ON66dYv27dvj6+vLmTNn8Pf310v8M9t3zZo101330UcfsW7dOmJjY4HkZLZly5YUKVIkR/HrdDrat2+PiYkJx48fZ/78+Xz11VdZxpaRESNGsGHDBpYuXcqpU6fw9PTEx8cnR62v3bt3p1ixYvz111+cPHmSr7/+GmNjYwBCQkJo2bIlHTp04J9//mHt2rUcOXKEQYMGAcndrNu2bav3g0TK+SlWrBgtWrQgOjqa9957j3379nH69GlatmyJr68vN2/ezNUxX7t2jdGjR1OqVClat26NVqtl06ZN+Pr+NzZMq1atsLKyyvBRoUKFXO37ebVq1eLw4cN5Uld2SdIthBBCCCHEG2ru3LkUL16c2bNn4+XlRbt27Rg7dixTp05Fp9Nha2tL1apV1SQ7KCiIoUOHcvr0aaKjo7lz5w7BwcE0atQow32MHTuWr7/+mt69e1OqVCmaN2/OuHHjWLBggV45Pz8/unbtiqenJxMmTCA6OpoTJ04AMG/ePDw8PJg6dSply5ale/fu+Pn5ZXl8N27cwNXVNd111apVo1SpUqxfvx5FUQgMDOSjjz7Kcfx79+7l0qVLLFu2jCpVqtCwYUMmTJiQ7j67du2aJllcuXKluj4mJoZ58+YxefJkWrVqRfny5fnll18wNzfP0X3GN2/epFmzZnh5eVG6dGk6duxIlSpVAJg4cSLdu3fn888/p3Tp0tStW5eff/6ZZcuWER8fDyR3MQ8KCiI0NBRIboFeunQpvXv3xsDAgCpVqvDxxx9TsWJFSpcuzbhx4/Dw8EjTOyEz0dHRLF68mIYNG1KmTBn++OMPfvjhB+7fv8+yZcto1qwZBgb/paOLFi3izJkzGT527NiR7X1nxtXVlRs3buRJXdklA6kJIYQQQgjxhrp48SJ16tTR65pcr149oqOjuX37NiVKlKBRo0YEBQXxxRdfcPjwYSZOnMi6des4cuQIT548wdXVldKlSwNgZWWl1tOjRw/mz5/P2bNnOXr0qF7LtlarJT4+ntjYWCwsLACoXLmyut7S0hIbGxsePHigxlm7dm292OvUqZPl8cXFxaXpWp7aRx99REBAACVKlCAmJob33nuP2bNn65XJKv6LFy9SvHhxveQ+o9imT59Os2bN9JZ99dVXavf9kJAQnj17Rr169dT1xsbG1KpVK82gb5kZNmwY/v7+LF++nGbNmtGxY0c8PDzU4/nnn3/0kn1FUdDpdISGhlKuXDmaN29OsWLFCAgI4IcffmDfvn3cvHmTPn36AMkJ85gxY9i+fTthYWEkJSURFxeXo5bu9evX4+/vT8WKFTl79myWLdVFixbNdt0vwtzcXO398LJI0i2EEEIIIcRbzNvbmyVLlnD27FmMjY3x8vLC29uboKAgwsPD9Vq5z5w5o/7fxsYGSE7Qxo4dS/v27dPUnTohTun+nEKj0aDT6V4odgcHB8LDwzNc3717d0aMGMGYMWPo2bMnRkZp05/sxp8dzs7OeHp66i2ztrbOctqz1AwMDFAURW/Zs2fP9J6PGTOGbt26sX37dn7//XdGjx7NmjVr+OCDD4iOjubjjz9myJAhaepOGUTOwMAAPz8/li5dypgxYwgICKBx48aUKlUKgOHDh7Nnzx6mTJmCp6cn5ubmfPjhhyQmJmb7ONq2bcv06dNZunQpNWrUwNfXl549e9KqVas01wIkdy/PrNt3yZIlOX/+fLb3n5EnT57g6Oj4wvXkhCTdQgghhBBCvKHKlSvHhg0bUBRFbe0+evQo1tbWFCtWDPjvvu7p06erCba3tzeTJk0iPDycL774Qq3v+YQSoHr16ly+fDnddTmJ8/muy3/++WeW21WrVo0LFy5kuL5w4cK0adOGdevWpTtFFmQdf7ly5bh16xZhYWG4uLhkO7b0eHh4YGJiwtGjRylZsiSQnFD/9ddffP755wA4Ojry9OlTYmJisLS0BPR/7EhRpkwZypQpw9ChQ+natSsBAQF88MEHVK9enQsXLmT5evTp04fx48ezceNGNm3axKJFi9R1R48exc/Pjw8++ABI/mEip1OsFSpUiM8//5zPP/+cf/75h8DAQPr3709SUhJdunShZ8+eer0bFi1alO6I6inSS9Rz499//810jIL8IPd0CyGEEEII8ZqLjIxMcw/srVu3GDhwILdu3WLw4MFcunSJLVu2MHr0aIYNG6beT1uoUCEqV67MypUr1WSkYcOGnDp1iitXrmR6PzfAqFGjWLZsGWPHjuX8+fNcvHiRNWvW8N1332U7/k8++YSrV6/y5ZdfcvnyZVatWkVgYGCW2/n4+GQ5AnZgYCCPHj3Cy8srV/E3a9aMMmXK0Lt3b86ePcvhw4cZOXJkto8tNUtLSwYMGMCXX37Jzp07uXDhAv369SM2Npa+ffsCULt2bSwsLPj2228JCQlJcy7i4uIYNGgQQUFB3Lhxg6NHj/LXX39Rrlw5ILk7+x9//MGgQYM4c+YMV69eZcuWLepAainc3d1p0qQJ/fv3x9TUVK+lv3Tp0mzcuJEzZ85w9uxZunXr9kK9EipXrsy0adO4ffs2gYGB3Lt3j4YNG7J161a1TNGiRfH09MzwkfIjRUbu3bvHmTNnCA4OBuDcuXOcOXNGb4C62NhYTp48SYsWLXJ9LLkhSbcQQgghhBCvuaCgIKpVq6b3GDt2LEWLFmXHjh2cOHGCKlWq8Mknn9C3b980CXGjRo3QarVq0l24cGHKly+Ps7MzZcuWzXTfPj4+bNu2jd27d/POO+/w7rvvMn369CyTpNRKlCjBhg0b2Lx5M1WqVGH+/PkZDlaWWvfu3Tl//jyXL1/OsIy5uTn29va5jt/AwIBNmzYRFxdHrVq18Pf3TzMye05MmjSJDh060LNnT6pXr05wcDC7du2iUKFCQPK5X7FiBTt27KBSpUqsXr2aMWPGqNsbGhry+PFjevXqRZkyZejUqROtWrVi7NixQHKCe/DgQa5cuUKDBg2oVq0ao0aNSnfAub59+xIeHk63bt30utJPmzaNQoUKUbduXXx9ffHx8aF69eq5PuYURkZGvP/++6xfv56wsLA09/G/iPnz51OtWjX69esHJP9wVK1aNb0eFFu2bKFEiRI0aNAgz/abHRrl+RsG3nBRUVHY2toSGRmp3ocihBAime9qX7Z23Zrmue/q5Ck9Uq9Lr3xWy4UQ4lUWHx9PaGgo7u7uOb6XVxScL7/8kqioqDSjpQvxvHfffZchQ4akO1d7RjL7XMhubikt3UIIIYQQQojX1siRIylZsuQLD8om3myPHj2iffv2dO3a9aXvWwZSE0IIIYQQQry27Ozs+Pbbbws6DPGKc3BwYMSIEQWyb2npFkIIIYQQQggh8kmBJ91z5szBzc0NMzMzateuzYkTJzItP2PGDMqWLYu5uTnFixdn6NChxMfHv6RohRBCCCGEEEKI7CvQpHvt2rUMGzaM0aNHc+rUKapUqYKPjw8PHjxIt/yqVav4+uuvGT16NBcvXmTx4sWsXbtWupMIIYQQQgghhHglFWjSPW3aNPr160efPn0oX7488+fPx8LCgiVLlqRb/o8//qBevXp069YNNzc3WrRoQdeuXbNsHRdCCCGEEEIIIQpCgSXdiYmJnDx5kmbNmv0XjIEBzZo149ixY+luU7duXU6ePKkm2deuXWPHjh289957Ge4nISGBqKgovYcQQgghhBBCCPEyFNjo5Y8ePUKr1VKkSBG95UWKFOHSpUvpbtOtWzcePXpE/fr1URSFpKQkPvnkk0y7l0+cOFGdKF4IIYQQQgghhHiZCnwgtZwICgpiwoQJzJ07l1OnTrFx40a2b9/OuHHjMtzmm2++ITIyUn3cunXrJUYshBBvF9/VvtlaJoQQQgjxtiiwpNvBwQFDQ0Pu37+vt/z+/fs4Ozunu833339Pz5498ff3p1KlSnzwwQdMmDCBiRMnotPp0t3G1NQUGxsbvYcQQgghhBBvm8DAQOzs7HK0jZ+fH+3atcuXeHLD29ubzz//vKDDECJHCizpNjExoUaNGuzbt09dptPp2LdvH3Xq1El3m9jYWAwM9EM2NDQEQFGU/AtWCCGEEEKIV1RGiXFQUBAajYaIiAgAOnfuzJUrV15ucC9ZYGAgGo0GjUaDgYEBxYoVo0+fPnqzI6Ws12g0WFpaUrp0afz8/Dh58qReXSnn7/nHd99997IPS7zmCuyeboBhw4bRu3dvatasSa1atZgxYwYxMTH06dMHgF69elG0aFEmTpwIgK+vL9OmTaNatWrUrl2b4OBgvv/+e3x9fdXkWwghhBBCCJGWubk55ubmBR1GvrOxseHy5cvodDrOnj1Lnz59uHv3Lrt27VLLBAQE0LJlS+Lj47ly5QoLFy6kdu3aLFmyhF69eunVd/nyZb3eslZWVi/tWMSboUDv6e7cuTNTpkxh1KhRVK1alTNnzrBz5051cLWbN28SFhamlv/uu+/44osv+O677yhfvjx9+/bFx8eHBQsWFNQhCCGEEEII8VpIr3v5+PHjcXJywtraGn9/f77++muqVq2aZtspU6bg4uKCvb09n376Kc+ePct0XxEREfj7++Po6IiNjQ1NmjTh7Nmz6voxY8ZQtWpVli9fjpubG7a2tnTp0oWnT5+qZWJiYujVqxdWVla4uLgwderUbB2nRqPB2dkZV1dXWrVqxZAhQ9i7dy9xcXFqGTs7O5ydndVpiNevX0/37t0ZNGgQ4eHhevU5OTnh7OysPiTpFjlV4AOpDRo0iBs3bpCQkMDx48epXbu2ui4oKIjAwED1uZGREaNHjyY4OJi4uDhu3rzJnDlzcnxvihBCCCGEEG+7lStX8uOPP/LTTz9x8uRJSpQowbx589KUO3DgACEhIRw4cIClS5cSGBio9x09PR07duTBgwf8/vvvnDx5kurVq9O0aVOePHmilgkJCWHz5s1s27aNbdu2cfDgQSZNmqSu//LLLzl48CBbtmxh9+7dBAUFcerUqRwfp7m5OTqdjqSkpEzLDR06lKdPn7Jnz54c70OIzBRo93IhhBBCCCFeZQtPLiQ6Mfql79fKxIr+Nfpnu/y2bdvStMBqtdpMt5k1axZ9+/ZVb+0cNWoUu3fvJjpa/3gLFSrE7NmzMTQ0xMvLi9atW7Nv3z769euXbr1HjhzhxIkTPHjwAFNTUyC5pXzz5s2sX7+e/v2Tj0un0xEYGIi1tTUAPXv2ZN++ffz4449ER0ezePFiVqxYQdOmTQFYunQpxYoVy/Y5Abh69Srz58+nZs2a6n4y4uXlBcD169f1lj+/zxs3bmBvb5+jOMTbTZJuIYQQQgghMhCdGE1UQlRBh5Glxo0bp2mlPn78OD169Mhwm8uXLzNw4EC9ZbVq1WL//v16yypUqKA3fpKLiwvnzp0DYMKECUyYMEFdd+HCBc6ePUt0dHSaxDQuLo6QkBD1uZubm14i7OLiog54FhISQmJiol4v2MKFC1O2bNkMjydFZGQkVlZW6HQ64uPjqV+/PosWLcpyu5SBmTUajd7yw4cP68VZqFChLOsSIjVJuoUQQgghhMiAlUnB3L+b0/1aWlri6empt+z27dt5EouxsbHec41Go07X+8knn9CpUyd1naurK9HR0bi4uBAUFJSmrtS3hWZW74uwtrbm1KlTGBgY4OLiku3B4y5evAiAu7u73nJ3d3e5nVW8EEm6hRBCCCGEyEBOuni/bsqWLctff/2lN1r3X3/9laM6ChcuTOHChfWWVa9enXv37mFkZISbm1uuYvPw8MDY2Jjjx49TokQJAMLDw7ly5QqNGjXKdFsDA4M0P0Bkx4wZM7CxsaFZs2a5ilmIjEjSLYQQIlO+q33zpIwQQohXy+DBg+nXrx81a9akbt26rF27ln/++YdSpUq9UL3NmjWjTp06tGvXjv/973+UKVOGu3fvsn37dj744ANq1qyZZR1WVlb07duXL7/8Ent7e5ycnBg5ciQGBnkzDnRERAT37t0jISGBK1eusGDBAjZv3syyZcukVVvkOUm6hRBCCCGEeAt1796da9euMXz4cOLj4+nUqRN+fn6cOHHiherVaDTs2LGDkSNH0qdPHx4+fIizszMNGzZUpwbOjsmTJxMdHY2vry/W1tZ88cUXREZGvlBsKVIGjzMzM6No0aLUr1+fEydOUL169TypX4jUNErKiAFviaioKGxtbYmMjNSb5F4IIURyi/XWrlv1nqeWel3q8qnLpTxPKft8nUII8aqKj48nNDQUd3d3zMzMCjqcAtG8eXOcnZ1Zvnx5QYcixCshs8+F7OaW0tIthBBCCCHEWyg2Npb58+fj4+ODoaEhq1evZu/evTJPtRB5TJJuIYQQQggh3kIp3cB//PFH4uPjKVu2LBs2bJCBxITIY5J0CyGEEEII8RYyNzdn7969BR2GEG+8vBn+TwghhBBCCCGEEGlI0i2EEEIIIYQQQuQTSbqFEEIIIYQQQoh8Ikm3EEIIIYQQQgiRTyTpFkIIkYbvat80c3SnLM/OtkIIIYQQIpkk3UIIIYQQQgghRD6RpFsIIYQQQog3XFBQEBqNhoiICAACAwOxs7Mr0JiEeFtI0i2EEEIIIcQb4NixYxgaGtK6des8qU+j0agPS0tLSpcujZ+fHydPnsxxXd7e3nz++ecvHNP169f14rK3t6dFixacPn1ab18p601NTSlatCi+vr5s3LgxTX2p60p51K9f/4XjFCI1SbqFEEJkyGffjYIOQQghRDYtXryYwYMHc+jQIe7evZsndQYEBBAWFsb58+eZM2cO0dHR1K5dm2XLluVJ/bm1d+9ewsLC2LVrF9HR0bRq1UptxQfo168fYWFhhISEsGHDBsqXL0+XLl3o379/mrpSjjHl8dtvv73EIxFvA0m6hRBCZJtO0XEt/Bo3Im6g1WkBWLgQbuzzKeDIhBDi7RYdHc3atWsZMGAArVu3JjAwME/qtbOzw9nZGTc3N1q0aMH69evp3r07gwYNIjw8HIDHjx/TtWtXihYtioWFBZUqVWL16tVqHX5+fhw8eJCZM2eqrcnXr19Hq9XSt29f3N3dMTc3p2zZssycOTNbcdnb2+Ps7EzNmjWZMmUK9+/f5/jx4+p6CwsLnJ2dKVasGO+++y4//fQTCxYs4JdffmHv3r3pHmPKo3Dhwnlw5oT4jyTdQgghsqQoCuFx4YQ8CWHZ2WUEnAlg+p/TiU6MLujQhBBCAOvWrcPLy4uyZcvSo0cPlixZgqIo+bKvoUOH8vTpU/bs2QNAfHw8NWrUYPv27fz777/079+fnj17cuLECQBmzpxJnTp11NbnsLAwihcvjk6no1ixYvz6669cuHCBUaNG8e2337Ju3bocxWNubg5AYmJipuV69+5NoUKF0u1mLkR+MiroAIQQQrz6Hsc95nHsY71l0YnR3H16lzDNxQKKSggh8t/ChRBdAL8vWllBOj2hM7R48WJ69OgBQMuWLYmMjOTgwYN4e3vneWxeXl5A8v3VAEWLFmX48OHq+sGDB7Nr1y7WrVtHrVq1sLW1xcTERG19TmFoaMjYsWPV5+7u7hw7dox169bRqVOnbMUSERHBuHHjsLKyolatWpmWNTAwoEyZMmrcKbp27YqhoaH6fMWKFbRr1y5b+xciOyTpFkIIkamnCU/1Eu5KTpWIeRbDtfBrKIrC6YSNaDXGBRihEELkn+hoiIoq6Cgyd/nyZU6cOMGmTZsAMDIyonPnzixevDhfku6UFnSNRgOAVqtlwoQJrFu3jjt37pCYmEhCQgIWFhZZ1jVnzhyWLFnCzZs3iYuLIzExkapVq2a5Xd26dTEwMCAmJoZSpUqxdu1aihQpkq3YU+JOMX36dJo1a6Y+d3FxybIeIXJCkm4hhBAZStTouB9zX33e5qKODoM7oCgKmy5tYtW5VWh5RpT55QKMUggh8o+V1au/38WLF5OUlISrq6u6TFEUTE1NmT17Nra2tnka28WLyT2c3N3dAZg8eTIzZ85kxowZVKpUCUtLSz7//PMsu3uvWbOG4cOHM3XqVOrUqYO1tTWTJ0/Wuzc7I2vXrqV8+fLY29tne+ozrVbL1atXeeedd/SWOzs74+npma06hMgNSbqFEEJk6KppDFpdciu2tak1Jf//C1SbNW3Q6rQYGyavSzR6RExiPJYmlgUWqxBC5IecdPEuCElJSSxbtoypU6fSokULvXXt2rVj9erVfPLJJ3m6zxkzZmBjY6O2Dh89epS2bduq3dt1Oh1XrlyhfPny6jYmJiZotVq9eo4ePUrdunUZOHCguiwkJCRbMRQvXhwPD48cxb106VLCw8Pp0KFDjrYT4kVJ0i2EECJdSbokbpnEAcYYaAxwsnRCwx11vaGBIQ4WDhCX/PxJ3BNJuoUQ4iXbtm0b4eHh9O3bN02LdocOHVi8ePELJd0RERHcu3ePhIQErly5woIFC9i8eTPLli1TW5hLly7N+vXr+eOPPyhUqBDTpk3j/v37ekm3m5sbx48f5/r161hZWVG4cGFKly7NsmXL2LVrF+7u7ixfvpy//vpLbUF/EbGxsdy7d4+kpCRu377Npk2bmD59OgMGDKBx48YvXL8QOSGjlwshhEhXRHwEOpLv27Mzs8PIwIjHlyrolelw5AmWBslTq8Q+iyUhKeGlxymEEG+zxYsX06xZs3S7kHfo0IG///6bf/75J9f19+nTBxcXF7y8vBgwYABWVlacOHGCbt26qWW+++47qlevjo+PD97e3jg7O6cZiGz48OEYGhpSvnx5HB0duXnzJh9//DHt27enc+fO1K5dm8ePH+u1er+IX375BRcXFzw8PGjfvj0XLlxg7dq1zJ07N0/qFyInpKVbCCFEGlqdloj4CAqRPFCOnZlduuUM0OBu/C4H2AlAZEIkTkZOQPKIv696t0whhHjdbd26NcN1tWrV0ps2LPX//fz88PPzy7Tu7E45VrhwYTZv3pxpmTJlynDs2LE0ywMCAggICNBbNnHixAzrcXNzyzKuoKCgTNenll/TqgmRmrR0CyGESCMqIQqtLvneOxtTG/Xe7fQUNa5Eyp+TpwlP5QuMEEIIIUQqknQLIYRIIyrhv/lxCpkVSrfMjX0+AJhozDF95ggk3wce+yw2/wMUQgghhHhNSNIthBBCz4OYB8QnxQNgozXC1Mg0y23Mnv03Tc3TxKf5FpsQQgghxOtGkm4hhBB6ztw7o/6/2DPztAUWLsRn3w29RaZJThgaGAIQnRgtXcyFEEIIIf6fJN1CCCFUiqLwz/3kUW41Gg2uz8yytZ0GQyyNk6cL0+q0xCXF5VuMQgghhBCvE0m6hRBCqOKS4ohOjAbA0tgSEyXzPxOppxBLPUe33NcthBBCCJFMkm4hhHhD+K72feE6nib8dz+2tal1huW0OiNiwlw5EdacUb8c48ml8tza4o+iQGSoJzf/KfnCsQghhBBCvAkk6RZCCAEkdy1PaeXWaDRqd/HnRcUZ88fl9kSHFSPmmQ2K1pBnsVbE3ChLwpn2KFpDkgyjiNfJgGpCCCGEEJJ0CyGEAOBW1C2SdElActfylIHRUnumM2b5n6V5GmcPgAYwME5U1+seeRJ/uRGKouGhNuSlxC2EEEII8SqTpFsIIQQAlx5dUv+fXtdyRYErT6rxMDp5RHNDk3hqOu/BsdIZ7DwvoTHUYmxojDbShWc3q/JIG/rSYhdCCPHmCQoKQqPREBERUdChCPFCJOkWQggBwJXHVwDQkH7X8ph7rjyILc6NG5D4xA670pexMokCwNQmCjuPyxgbGaBBw7O75bjz5PFLjV8IId5Wfn5+tGvXrqDDKBBubm5oNJrk26IsLalevTq//vqrun7MmDHqeiMjIxwcHGjYsCEzZswgISFBry5vb2+1bOpHUlLSyz4s8YaRpFsIIQRP4p7wKPYRACVsS6TpWq7oDHj4TzX1eZlCpzEy1f+yYmIVjWP5fzHQmaGg4fq/RYiIi8r/4IUQQrzVfvjhB8LCwjh9+jTvvPMOnTt35o8//lDXV6hQgbCwMG7evMmBAwfo2LEjEydOpG7dujx9qj/+SL9+/QgLC9N7GBkZvexDEm8YSbqFEEKordwApe1Lq/9PmRIs4poHiU9tAHCyjMbJ4la69RQqcwkTs2cAxEdZ8/vBh/kVshBCiGw6ePAgtWrVwtTUFBcXF77++mu19Xbbtm3Y2dmh1WoBOHPmDBqNhq+//lrd3t/fnx49emS6jy1btlC9enXMzMwoVaoUY8eO1Wsh1mg0LFq0iA8++AALCwtKly7Nb7/9plfHjh07KFOmDObm5jRu3Jjr169n6/isra1xdnamTJkyzJkzB3Nzc7Zu3aquNzIywtnZGVdXVypVqsTgwYM5ePAg//77Lz/99JNeXRYWFjg7O+s9hHhRknQLIYTQS7r/3F5Gb12zPbd5cqmi+ryWyy00mvTr0RjosCl+GwCLyLvsC0pEl/T/reYLF+Zt0EIIIbJ0584d3nvvPd555x3Onj3LvHnzWLx4MePHjwegQYMGPH36lNOnTwPJCbqDgwNBQUFqHQcPHsTb2zvDfRw+fJhevXrx2WefceHCBRYsWEBgYCA//vijXrmxY8fSqVMn/vnnH9577z26d+/OkydPALh16xbt27fH19eXM2fO4O/vr5f4Z5eRkRHGxsYkJiZmWs7Ly4tWrVqxcePGHO9DiJySvhJCCPGWS0hK4EbEDQCMDY2xNnDUW3/3SWmSDM0AcLS4g6OFeab1WZgZYFT4FjwqwfHT0cRd6A498yd2IYTIdwsXQnT0y9+vlRX07//C1cydO5fixYsze/ZsNBoNXl5e3L17l6+++opRo0Zha2tL1apVCQoKombNmgQFBTF06FDGjh1LdHQ0kZGRBAcH06hRowz3MXbsWL7++mt69+4NQKlSpRg3bhwjRoxg9OjRajk/Pz+6du0KwIQJE/j55585ceIELVu2ZN68eXh4eDB16lQAypYty7lz59K0RGcmMTGRqVOnEhkZSZMmTbIs7+Xlxe7du9Ocr0WLFqnPP/74YzUmIXJLkm4hhHjLhYSHoFWSuxVaGluiUf5rxlYUCH1Qhch4TwCKWx8FqmRanwHGmLtegkclSFBiiL5fhGfPwDh1oYUL8+TLpBBC5LvoaIh6fcenuHjxInXq1EGTqotSvXr1iI6O5vbt25QoUYJGjRoRFBTEF198weHDh5k4cSLr1q3jyJEjPHnyBFdXV0qXTr71yMrKSq2nR48ezJ8/n7Nnz3L06FG9lm2tVkt8fDyxsbFYWFgAULlyZXW9paUlNjY2PHjwQI2zdu3aerHXqVMnW8f41Vdf8d133xEfH4+VlRWTJk2idevWWW6nKIreeQHo3r07I0eOVJ/b2dllKwYhMiNJtxBCvEZ8V/sCsLXr1ixKZt/Vx1fV/1uZWEGq8dHC452IVgoDYGz5FFvlSbbqNDM1wK7wLWK1riQl6Wg6+XMOOZTPs5iFEOKlSZVkvqn79fb2ZsmSJZw9exZjY2O8vLzw9vYmKCiI8PBwvVbuM2fOqP+3sUke6yM6OpqxY8fSvn37NHWbmZmp/zc21vv5FY1Gg06ne+H4v/zyS/z8/LCysqJIkSJpEumMXLx4EXd3d71ltra2eHp6vnBMQqQmSbcQQrzFFEVR7+c2NjDG3NhcL+m+G1MKkhsosHC6B/ezV6+x1pYiLhe4e7s2WoN4woPLoNhD9r4GCSHEK+Q175VTrlw5NmzYoNeqe/ToUaytrSlWrBjw333d06dPVxNsb29vJk2aRHh4OF988YVaX3oJafXq1bl8+fILJavlypVLM7Dan3/+ma1tHRwccrzvS5cusXPnTr755pscbSdEbhT4QGpz5szBzc0NMzMzateuzYkTJzItHxERwaeffoqLiwumpqaUKVOGHTt2vKRohRDizXL36V1insUA4FHYAwPNf38WtIkmPI5zAaBK+BW63tuebh0dLh2lw6WjesuMtbZYWD3B3C4SnSaehEg7bjwuoNYiIYR4C0RGRnLmzBm9x61btxg4cCC3bt1i8ODBXLp0iS1btjB69GiGDRuGgUHyZ36hQoWoXLkyK1euVAdMa9iwIadOneLKlSuZ3s8NMGrUKJYtW8bYsWM5f/48Fy9eZM2aNXz33XfZjv+TTz7h6tWrfPnll1y+fJlVq1YRGBiY29OhJykpiXv37nH37l3OnTvHrFmzaNSoEVWrVuXLL7/Mk30IkZkCTbrXrl3LsGHDGD16NKdOnaJKlSr4+Pio93Y8LzExkebNm3P9+nXWr1/P5cuX+eWXXyhatOhLjlwIId4MqUctL2OvP2r509sl0CnJfyaKWNzCQKOAomD29CEe4WE0unkOl6dPMNIm8TxDnSVGiiF2Je6gM0huOv8ztEg+HokQQrzdgoKCqFatmt5j7NixFC1alB07dnDixAmqVKnCJ598Qt++fdMkxI0aNUKr1apJd+HChSlfvjzOzs6ULVs20337+Piwbds2du/ezTvvvMO7777L9OnTKVmyZLbjL1GiBBs2bGDz5s1UqVKF+fPnM2HChByfh/ScP38eFxcXSpQogbe3N+vWreObb77h8OHDeveoC5FfNIqiKDnd6Nq1a5QqVeqFd167dm3eeecdZs+eDYBOp6N48eIMHjw43SkC5s+fz+TJk7l06VKae0KyKyoqCltbWyIjI9X7UIQQ4nWR2T3dvqt9c3yv94K/FxAWHQbAF3W+oNvGbvg+3cpWa19uHmhOoZ2uWDg8pLzRWeyMnlD+0S1qmDkQGhGq1pFkYEiInQtzarQm9VxirY3/5lwpdw5uc6WIvTm9krywa1YTMzPojwykJoR49cTHxxMaGoq7u7vevchCiLdXZp8L2c0tc9XS7enpSePGjVmxYgXx8fG5qYLExEROnjxJs2bN/gvGwIBmzZpx7NixdLf57bffqFOnDp9++ilFihShYsWKTJgwAa1Wm6sYhBDibfY04amacLtYuWBtaq2uS4y2Iu6xAwDW5o+xMQ6n8sPrFI5/mqYeI52Wsk9uU/vu5eThzv+fg9YOjYGCkeM1knRJ6BQNt2/n80EJIYQQQrxicpV0nzp1isqVKzNs2DCcnZ35+OOPs7wX+3mPHj1Cq9VSpIh+d8MiRYpw7969dLe5du0a69evR6vVsmPHDr7//numTp3K+PHjM9xPQkICUVFReg8hhBBw9cl/o5Y/37U8+k5x9f9FC1+hVMR9bBJiAdAamnDRvjini5TivqWdWq76/Wu8myrxdkhKXmfkFEKSLrkL+q1benm5EEIIIcQbL1dJd9WqVZk5cyZ3795lyZIlhIWFUb9+fSpWrMi0adN4+PBhXscJJHc/d3JyYuHChdSoUYPOnTszcuRI5s+fn+E2EydOxNbWVn0UL148w7JCCPE2SX0/d2n70ixcCDf2+QAQfbeYuq6UySWKPX0MgE5jwINS7/LA0o4oU0su2RfnaiFXtWy1+9cY/PdWOlw6ikOSLQAGZtEYFkpu4o6OhoiI/D4yIYQQQohXxwsNpGZkZET79u359ddf+emnnwgODmb48OEUL16cXr16ERYWluG2Dg4OGBoacv++/vwz9+/fx9nZOd1tXFxcKFOmDIaGhuqycuXKce/ePRITE9Pd5ptvviEyMlJ93Lp1KxdHKoQQb5YkXRLXwq8BYGlsSVHr/wakjI+H+Cf2/78uirKPwoDk5unrtk4kmtvq1XXX2p4rhf7b3jM8DNv4GKx0FhhpTAEwcj2nrr91Cw4dypfDEkIIIYR45bxQ0v33338zcOBAXFxcmDZtGsOHDyckJIQ9e/Zw9+5d2rZtm+G2JiYm1KhRg3379qnLdDod+/bto06dOuluU69ePYKDg9HpdOqyK1eu4OLigomJSbrbmJqaYmNjo/cQQoi33Y2IGyRqk3+sLG1fWp27FeDBA1CU5OeeRpewfZpcLt7IhNvW9unWF2ZdGOv/736uQaH841sYJj3DxiD5FiIDp0tgkFxPWBjopIu5EOIVlotxhoUQb6i8+DzIVdI9bdo0KlWqRN26dbl79y7Lli3jxo0bjB8/Hnd3dxo0aEBgYCCnTp3KtJ5hw4bxyy+/sHTpUi5evMiAAQOIiYmhT58+APTq1UtvwvoBAwbw5MkTPvvsM65cucL27duZMGECn376aW4OQwghXmkpI5XndF12XHl8hVXnVgFQunBpvXWph9Woqv2vhfqmtSOKxoAD1w+kW2eInTN3/j8pN9E+o/Cdf7DRJCfdUbdK4uCQXHFiImy6dF7dbuHCFz8eIYTICym9KTPqQSmEePvExiY3KuR29iwAo9xsNG/ePD766CP8/PxwcXFJt4yTkxOLFy/OtJ7OnTvz8OFDRo0axb1796hatSo7d+5UB1e7efMmBgb//S5QvHhxdu3axdChQ6lcuTJFixbls88+46uvvsrNYQghxFtJURR1EDUDjQEehT3+W6fT8PAxRN7yxNQwhhLP7gDJ04KlHjQtXRoNe0tWwfvGOYx0SVhGhlH6/n+jnTs4X4cHyf9/ECvjawghXj1GRkZYWFjw8OFDjI2N9b6HCiHeLoqiEBsby4MHD7Czs9O7xTmncpV079mzhxIlSqT5IFIUhVu3blGiRAlMTEzo3bt3lnUNGjSIQYMGpbsuKCgozbI6derw559/5iZsIYQQwOO4xzyJewJACdsSmBn9N+fksxgrUu7gKW94HkMl+clDC1t02fjyGWtixpXCrpR/dBOAyhfOYl30GU9NjTF2CMHQELRaeBTnilYLL/D3Swgh8pxGo8HFxYXQ0FBu3LhR0OEIIV4BdnZ2GY45ll25Sro9PDwICwvDyclJb/mTJ09wd3eXebOFEOIVlnrU8uenCkt8agv/nwhXSrqgLr+XVSt3Kg8tbLlvaYc7YJlkRLPQh2wq68KxqxEUKQJ378IznQmhoeDp+SJHIoQQec/ExITSpUtLF3MhBMbGxi/Uwp0iV0l3RjeTR0dHY2Zmlu46IYQQr4ZMk+4oGygEltoYSuqSZ3uINzEkytAiR/u4WsiVd+J1GGgMKf0kkTJPoomwMaGoo467d5NbzK9ckaRbCPFqMjAwkO+0Qog8k6Oke9iwYUBy15tRo0ZhYfHflzCtVsvx48epWrVqngYohBAi78QkxnAjIrnLpImhCfbm/41G7r5/MaVv2kIhKKNcwdAwudfS48JmEKVJt76MaA0MeeJaHg1goDOlyfVH3K1gTeWQn7l9sx5PgcuXoVWrvDoyIYQQQohXU46S7tOnTwPJLd3nzp3Tm6bLxMSEKlWqMHz48LyNUAghRJ659OgSyv/PuW1lYqU3VVhYjDUp/Zg8NcHq8tCHlcA05/uKtXUhycwKg3umWCVGU/72I546hONi9ZSQcIiM1B8pXQghhBDiTZSjpPvAgeRpYvr06cPMmTNlzmshhHjNXHj4333a1qbWeuvuRVsDMRgoWtx1N8AQnhkY8dTEPHc702i4Wak1unOLAHC/H8l96zCK20SqRS5fzl3VQgghhBCvi1zNgxAQECAJtxBCvGbinsURGhEKgJ2ZHaaG+s3X92OsALCPu425YQwA4WZWoMlZ1/LUEi3sOFWk3P8/U3C8e4kS1uHqekm6hRBCCPGmy3ZLd/v27QkMDMTGxob27dtnWnbjxo0vHJgQQoi8dfnxZXT/PwVYecfy7Avdp65LSIDw+OQWbU+C0RgkdzR/Ym71wvs951iGEk8PQVwipjGPcLS6ibVJMQDCwqBwYcA68zqEEEIIIV5X2U66bW1t1Xv/bG1t8y0gIYQQect3tS8AXSt2ZdW5VXSr1I1yDuX01sfcd6YknwBQSheM8//Ps/1HUa8X3r/OwIgjxd1558plnmmSsA47h4Ppfx2tHj0CHF94N0IIIYQQr6RsJ90BAQHp/l8IIcSrT6vTEvIkBABrE2uK2RTTWx/3KDnrNVESKaIkj24WbWzOM0PjPNn/DRtXHtjexikyBm1SJFW1/5DSyfzRozzZhRBCCCHEKylX93THxcURGxurPr9x4wYzZsxg9+7deRaYEEKIvPM08SlaJXkKsPKO5fVGLQeIf+wAgGPSY8zNkruWR5rlbG7uzBgp1vxbwhHQEK9JpHxcMObEAfDwIShK5tsLIYQQQryucpV0t23blmXLlgEQERFBrVq1mDp1Km3btmXevHl5GqAQQogXF5UQpf6/inMVvXWKTkPck+Sku6hyF6P/7wMVaZKHSbfWiqcWptx0tCHeIAFjJYmaCUcBiI+HxCi5bUkIIYQQb6ZcJd2nTp2iQYMGAKxfvx5nZ2du3LjBsmXL+Pnnn/M0QCGEEC8mUZtI3LPkVmVTI1NcrFz01idE2hF+Nfne7ZKaG+pg5ZGmlnkWg6EueaS0S0XtiTV8BkCZJ39i+v8/BsTed86zfQkhhBBCvEpylXTHxsZibZ38BWr37t20b98eAwMD3n33XW7cuJGnAQohhHgxqVu5bUxt0nQtr7YrEQCNosVVCcPhxknijUxINMqb+7kBOl78C1PFmDhTYy45JyfzhW2SKHn9IAA3DrTIeOOFC/97CCGEEEK8ZnKVdHt6erJ582Zu3brFrl27aNEi+cvSgwcPZP5uIYR4hWh1WiLjIwHQoMHGNO1ndESsEwB2SY+wMIgGINI077qWp+zbVpv8Y+25otY8M9Bw8SIY/nMay2cRPIu2JikpT3cphBBCCPFKyFXSPWrUKIYPH46bmxu1a9emTp06QHKrd7Vq1fI0QCGEELl36dElknTJ2ayXgxdGBmknrYiMdaLco5vYP7uHiWECAFF5eD93Cjtt8pzficaGXClsg0YDVhY6yj85gteDO9z8abW0ZgshhBDijZOrpPvDDz/k5s2b/P333+zcuVNd3rRpU6ZPn55nwQkhhHgxJ+6cUP9fq2itNOsTE+FpXGEAinEbjUYH5O393Cns/r+lG+CSgwVaQxMsLKBU5GksdLGEPrLOZGshhBBCiNdTtufpfp6zszPOzvoD39SqlfYLnRBCiIJxL/oeNyKTx9kwNTLFzc4tbZl7AMn3eLsSBoDOwJAYY9M8jyd10h1h9oyH7rVwSDiCgaKlYsJlrj/O5L5uIYQQQojXVK6S7piYGCZNmsS+fft48OABOp1Ob/21a9fyJDghhBC5d/jGYfX/dmZ2aQZQA7hzJ/lfE10ChXnCU+BczF2w8sjzeFK6l4dGhGJvYs39UnVwCj1OWGwwZRPjefBIQ2KSASZ5vmchhBBCiIKTq6Tb39+fgwcP0rNnT1xcXNL9IieEEKLgPIp9xIWHFwAwMjBKdwA1gLt3IfaRIy66+1gYJ/I0EZ6amOdLTBY6M4yV5D87MSYJJJla8rBkTQzPncfwqRbX8PPcDrejVL7sXQghhBCiYOQq6f7999/Zvn079erVy+t4hBBC5IHDNw6joABQyLwQBpr0h/BIael21D7GzCh5wLWnxnmXdHsdWkiH60eB5BHMU7qYxxslkqQkct+jLpguAjS4RlzgxoOmknQLIYQQ4o2Sq4HUChUqROHChfM6FiGEEHngfvR9/rn/DwDmRubYmtqmKbNwIWifGfHkSfLzoprbGPx/p6X8aumG/7qYA0TrHvHMzJpQJ3sAjLUJRAXfz7d9CyGEEEIUhFwl3ePGjWPUqFHExsbmdTxCCCFe0N5re9VW7vol6mNoYJhuuYSIQur/XbgHgE5jQGw+DKKWIvVgak91DwE451ocI4NEAExuBfMsUcm3/QshhBBCvGy56l4+depUQkJCKFKkCG5ubhgbG+utP3XqVJ4EJ4QQImeCnwRz9clVAGxNbaldrHaGZRMik5NuE10ChQgH7Ig2MYN8HKfj+ZZugEY3/yXaLDnRN4+P5N6RYIoHH0gu1L9/vsUihBBCCPEy5CrpbteuXR6HIYQQ4kXpFB3br2xXnzct1RQjg4w/5hMiCoE12OsiMDGIB/K3azmATTpJN8C9/2vvzuPkqur8/79u7b0v6S37vrCERALEoAhINCAG8csgICo6fBEdmYcO6hfx91Vm9MugKI6OMCIOi4gE3BC3AUNIiMGwJazZl96S9L5Xd1XXcs/vj9td1Z2u7vS+JO9nHvXoU/eee++pvqnq/vQ553Nys1gWd8ptG7fD/DFthoiIiMi4GVbQfccdd4x2O0REZIQaQ400hZsAmJszl+VFywes39niBN358WZ8vk4AgiNMonbV3hcH3J9pp+GyLGzL9Aq6I9lxQu15pEVa6Nx9GAqzITNzgDOJiIiITA3DmtMN0NzczH//939z++2309iViWfnzp0c7U6FKyIi46a2vZbGkPNZ7LbcfHjJhwdcztG2obPFSbBWYlVhWTYAQW9gTNvpwkVa1BlK3mE3Yhvnun5vmLbiRQC0tsIbf6xg69YxbYqIiIjIuBhWT/dbb73F2rVrycnJoaysjJtuuon8/Hx+97vfUVFRwaOPPjra7RQRkX4YY/jT/j9hTDJ5WmFG4YDHtLWBsZ2/uxZT65wHxjSJWrf0qJ92XxibOCHTnNy+oAT7iBuXAauuBqYvHfO2iIiIiIy1YfV033rrrXz605/mwIEDBALJXpEPfehDbFXXhIjIuFi/YT0AO6t2UtFSAcBvdv+G72//fq/9qY574O9PAGAZm0KcLOJ7gsewXcMeADVo6VFfotxziPnskih1Wc5k7lAI0luqx7wtIiIiImNtWL9dvfrqq9x88819ts+cOZPqav2SJCIyXtoj7Ww8vDHxvCijCJd14o/2WCgdgECoiYDLWf4x6BvboeXd0iPJ3vSeQffcaUGqck5ztkf8ZDWWjUt7RERERMbSsIJuv99Pa2trn+379++nsHDgIY0iIjJ6Nh7eSDjmZB7P9meT4csY1HGxDifozmyvSWQubx+HoeXgDC/v1jPozk2PQH4+HfUddES9+IKNUF+f6hQiIiIiU8awgu4rrriCb33rW0SjUQAsy6KiooLbbruNq666alQbKCIiqYWiId6ofgOAgCdwwnnc3YyBaFdPd5Gpwe1y1upqH+Mkat1693Q39No3t6CdY7mnYWPREfXBzp3j0iYRERGRsTKsoPuee+4hGAxSWFhIKBTiwgsvZNGiRWRlZXHnnXeOdhtFROQ4xhhq22sTz98///0DrsndU7Q9AxN36k53J88xXkG3x7jxx71A755ugHnT2qjJXoKNm2DEB2+/7aRaFxEREZmihpW9PCcnh40bN/Liiy/y5ptvEgwGOfvss1m7du1ot09ERFJoDjcnhpVPz5zOOTPOGfSxnS15iXIRNRwDbMtFyOPr/6BRlhbxEQcipp2oK4bX9rB1K7R2Bom6A9T4Z5MT7XDSrIdCUFQ0bm0TERERGU1DDrpt2+aRRx7hd7/7HWVlZViWxfz58ykpKcEYM+C6sCIiMnK2sRNrcgN8aPGHBpU8rVtnsxN0e+0YeaaJY3T1co/j53d61E9bV7nD20lOp/PjKMvXSTYRKgJLmdlaim2Dq7JSQbeIiIhMWUMaXm6M4YorruB//+//zdGjR1m+fDlnnHEG5eXlfPrTn+ajH/3oWLVTRES6NIWaiNkxAM4sOpPZObOHdHxncz4A+Z2tZGY4a3uPVxK1bj2TqXV4I4myZTlZzGv8swlbaQSDQHU1dOUQEREREZlqhtTT/cgjj7B161Y2bdrExRdf3Gvf888/z5VXXsmjjz7Kpz71qVFtpIiIOOJ2nKZwE+Aksbx43sUnOKKvzuZcAFaVlRFw7QPGb7mwbj2TqXX4Onvtm5vfhrHyOepfSHNzE9m2DVVVMGfOuLZRREREZDQMqad7w4YNfP3rX+8TcAO8//3v52tf+xq//OUvR61xIiLSW3O4mbjtZBvP9mczLX3akI6Pd/oTmctnuI4mRpSPVxK1br17unsH3fMKnIHnFWlLaW7u2lhZOU4tExERERldQwq633rrLS699NJ+91922WW8+eabI26UiMipYP2G9azfsH7Q9S9//HKaw82A08udn5bf61yDuV64q5cboJiaRHm8g+5AzIura7DV8T3d0zI6SfNEafYUUBUrxBigsRHa23uf5IEHxqm1IiIiIsM3pKC7sbGR4uLifvcXFxfT1NQ04kaJiEhfrZ2tibncmb5MfO6hZxvvmbm8AGe5rqjLQ9Q9rMUshs3CItPl9NKHvBFsksuCWRYUZ7SBZXG0YAXBTmd5MY4cGdc2ioiIiIyGIQXd8Xgcj6f/X8zcbjexWGzEjRIRkd6MMYlebqBXL/dQdGcuD9hhsq1WYPyTqHXLdBUAYDCEvclEaVu3QklGEICa4rNoDnW178gRnG5vERERkaljSF0bxhg+/elP4/en/gWts7Mz5XYRERmZytZKOmPOZ2yaN42AZ3jDwbuD7nfXvYOvyFnnu2OCg26nDb1/fhR3Bd2d7xzgiHsus9kFHR3O3G4lVBMREZEpZEhB9w033HDCOspcLiIy+l479lqinBvIHdY57JibSFs2ACVWNZbl9Bp3jPN87m4ZrmQSuOOD7rxACL87BnjY4zmTd5tdTtK3N99U0C0iIiJTypCC7ocffnis2iEiIv0IRUPsrtsNgNvlJtOXOazzdLbmYIyTrrzYVZ3Y3uEZ+tzw0dCrp/u4ZGrOvO4gkMvRwCKC8QBZnjDs2gWXXQYDTHUSERERmUyGNKdbRETG3zu17yQSqGX7s3FZw/vo7h5aDlBILR31hZSXj3/m8m4D9XQDlGQ6S4fFXV6q0hc6G8Nh2LdvXNonIiIiMhoUdIuITHJv176dKGf7s4d9ns6WPFpKF9FSuogC0wCA7fIQGefM5d28lp+A5byeDm+kz/6SjLZE+YD3jOQOLU0pIiIiU4jG54mITGLN4WYqWioA8Hv8+N3DT3rW3dPtMTGycTKXRwOZYE3cqhOZrgLqgKg7RthECJjkUPe8QIiAiRGOetgdWcSHAmlYAE88AQ0N0E9STxEREZHJRD3dIiKT2Du17yTKWb4sLMsa1nmMbSXW6C60anBbcQCi/qyRN3IEMnsMMW9xB3vtc1kwJ9/Ztvugj+01850dxsDRo+PWRhEREZGRmBRB93333ce8efMIBAKsXr2aV155ZVDHPfHEE1iWxZVXXjm2DRQRGUfrN6xPlN+ucYaWP/7242SNIECOBrOwY24ACj3JJGovN+0f9jlPZHPZZjaXbe73OfROpnZ80A0wNz+57YD3tOSOI0dGsaUiIiIiY2fCg+4nn3ySW2+9lTvuuIOdO3eyYsUK1q1bR21t7YDHlZWV8ZWvfIULLrhgnFoqIjK+IvEINe01gLM2t889/Czj4ZbcRLnISn6+dngmdoj2iYLuedOS87rLozNhxoyuyi3Q2jrm7RMREREZqQkPun/wgx9w00038ZnPfIbTTz+d+++/n/T0dB566KF+j4nH41x//fX827/9GwsWLBjH1oqIjJ9gJBmEDneZsG69M5fXJcrt3kkUdLv6Bt3Tczo4WukMha9pz8SctSK5U73dIiIiMgVMaNAdiUTYsWMHa9euTWxzuVysXbuW7du393vct771LYqKirjxxhtPeI3Ozk5aW1t7PUREpoJRDbpbkkF3AV2Zyy0X4Qlao7tbwMrGbZwfRal6urdt616vGzqiPhpnnOks4g3OvG7bHre2ioiIiAzHhAbd9fX1xONxiouLe20vLi6muro65THbtm3jwQcf5Gc/+9mgrnHXXXeRk5OTeMyePXvE7RYRGWvtkXbCsTAAhemFIxpaDj0yl7vD5EWdPz6GPL5kADtBLMsiLer0tre5O4jTN4juDroByuszoKjIeRIOQ1nZeDRTREREZNgmfHj5ULS1tfHJT36Sn/3sZxQUFJz4AOD222+npaUl8aisrBzjVoqIjNy+hn0YYwBYVrBsROeKhQPEwgEApnlrceGct2OCh5Yv2/oAy7Y+QHrEaYfB0OZu71Ov53rdZWXArFnJnW+8MbaNFBERERmhCV2nu6CgALfbTU1NTa/tNTU1lJSU9Kl/6NAhysrKWL8+mdnX7hpa6PF42LdvHwsXLux1jN/vx6+1XEVkijnYeDBRXlqwdETnCjclh5YXuZKjiCZ6Pne39GiyF7/ZFSQ33jtLe0FaBx6XTcx2UV4OpqgYy+uFaBR274bLLoO0tPFutoiIiMigTGhPt8/nY9WqVWzatCmxzbZtNm3axJo1a/rUX7ZsGW+//TZvvPFG4nHFFVdw8cUX88Ybb2jouIicFIwxHG46DECaJ40ZWTNGdL6e87mLXD0yl3sDIzrvaOnu6QZoTdHT7XYZCtOdIeYtLdASSUv2dsdi6u0WERGRSW1Ce7oBbr31Vm644QbOOecczjvvPH74wx/S3t7OZz7zGQA+9alPMXPmTO666y4CgQBnnnlmr+Nzc3MB+mwXEZmqwrFwYj73grwFuKyR/X20szkfgJbSRRRkbktsn+jlwrqlR5PtSJVMDaAkI0hVMBuAsoYsVs6bB6Wlzs7XXoN3v3tw89MfeMD5+tnPjqTJIiIiIoM24UH3NddcQ11dHd/85jeprq5m5cqVPPPMM4nkahUVFbhcU2rquYjIiLRHk729i/IXjfh84SYn6LZccQrijV1bLTq8E5u5vFtaj+Hl/QXdxT3ndTdksnJ2JnTn9mhocAJwLSEpIiIik9CEB90At9xyC7fcckvKfVu2bBnw2EceeWT0GyQiMoE6oh2J8sL8hQPUhPUb1g+4/7KH/4Fo+/8CwJPWTl7ICehDHh9mhD3oo8Vj3ARiTuDd4g5iMFj07rUuTG/HbTk5PErrszEGrLlzkxVefdUJutWTLSIiIpPM5PiNS0REACfg7h5a7vf4yfZnj+h83b3cAPm+Wjx23LnOJEmi1q07mVrEihKyOvvs97gMRV1Lh72118efn/NDSQlkdSVd27cPWlvHrb0iIiIig6WgW0RkEjncdDixVFiGN2PE5ws3TUuUi92TL3N5t/RIMqlbf0PMp2e2sWOHU64KZoHLBWef7WywbXjllbFupoiIiMiQKegWEZlEDjUeSpTTvekjPt/RbRfTUurMCy/ombl8kiRR69YzmVqzuy1lnRmZyZ7sqvauHu5zzgG32ym/+qqzjFi37qHmIiIiIhNIQbeIyCTRc6kwj8tDmndka08bA9F2p7fc7YtQEG9K7Jtsw8szIifOYD4trQNPVyaSqmAWxuAML1+xwtnY2QkVFWPcUhEREZGhUdAtIjJJNIebaelsAWBOzpwRLxUWC6Vjx7wABPIayetMBrOTLejuuVZ3cz9Bt8uCaV2j5cMxL3VtXUPS16xJVjp82BlqLiIiIjJJKOgWEZkkyprLEuV5ufNGfL5wY3I+dyCvnrxQkNPqK1jQVEXc5R7x+UeTz/bgN8kM5v3pXiUMoLSha4h5YSEsXQo7dkA4DEePami5iIiITBoKukVEJolRD7p7ZC7PTa8lEHfmO0+2Xu5uOfFMADpcYTqtaMo6vYLu+h6Z3d/znmT54EFnbL2IiIjIJKCgW0RkEjDGJIJul+ViZtbMEZ+zV+ZyT1Wi3O4NpKo+4XK7gm7ov7c7Kwv87hgAZQ2ZyZHks2dDXp5TDgahujrl8SIiIiLjTUG3iMgk0HM+d5o3DfcIh38bA51dPd0ub4TI309L7JusPd258axEub8M5pYF07uymO876EnG1pYFixcnKx44oN5uERERmRQUdIuIjIP1G9YPuL/n0PI0T1qi/voN6094bCrrHrieeNRJouZNbycvlOw5nmxrdHfL6dHTvbXuxX7rTc9MBuSHD/fYUVQEOTlOuaUF6upGu4kiIiIiQ6agW0RkEugZdI/G+tzhhsJE2ZvZRl5ne+L5ZFuju1vPnu52X7jfej2D7tLSHjuO7+3evx9++lMlVRMREZEJpaBbRGSC9ZzP7XV58Y9CUByq7xF0ZwTJCzs93RG3l5jbM+Lzj4UMO4DHOMPqO7yRfutl+zrJ6NpfXg7RnjnXSkogs6vHvKkJGhrGqrkiIiIig6KgW0RkgvWczz07Z/aI1+cGCHX1dFuWTZavifRoJwAdHt+Izz1WLKzEEPOwN0KMeOp6FszMcuZ1x2JO4N1r5/Fzu0G93SIiIjJhFHSLiEywytbKRHlOzpwRny8WDhAJOsGrJ6OdvEhyOHbHJM1c3q07g7nB0Opu77fezKyWRPngweN2zpgBGRlOub7e6fEWERERmSAKukVEJlhly+gG3aGG5GLWvoy2xNBymLxJ1LrlDCKDOTjzui3LyU7e3Zmd4HLBokXJ530qiIiIiIwfBd0iIhOsu6fbwhqV9bl7zefODJLfI+ierMuFdcsZxFrdAH53nKJ0Z39DQ4rO7FmzIC3NKdfUONnMe9JwcxERERknCrpFRCZQ3I5TE6wBoDizeJSSqBUlyt6MtimxXFi33mt19x90Q3JeN6QYYu5ywcKFyefq7RYREZEJoqBbRGQChWNhDM4w6dnZs0d8vnjES2dzHgDtVTO4+uBWLqx427mW20vUNTkzl3fLstOxsIDUw8uXbU32UM8aaF43wJw54O/6I0NVldbtFhERkQmhoFtEZAKFY8n1qGfnjDzoDtUVY4wTtPqyW3HbcfxxZ02tprRMJ7v3JObGRU7cSYLW6m7Hxu63bn4glMiXVloKsfhxr83t7t3bvW3baDdXRERE5IQUdIuITID1G9YDEIqFePztxwGYlT1rxOftqCtOlH2ZrYmlwgCaApmpDpkwm8s2s7lsc5/t3cnUbGxaXR39Hm9ZyXxpkQhUNKZ4fXPngtfrlN9+G9r7z4guIiIiMhYUdIuITBBjTKKnO8ObQV4gb8Tn7A66LcvgzWwjYxIH3f3Jj2cnys2e1gFq9l6Se19Nbt8KHg8sWOCUbbufcegiIiIiY0dBt4jIBInEI8TtOOAMLbdGOPQ7Fg5Q+8YqAAL5jbg8cdKjyeHrjVMk6M6NJZOpNQ6wbBg4Pd1ut1PeW52LMSkqzZ/vBN8AR45AKDRKLRURERE5MQXdIiITpNd87lFIotZRmxxanl5YDTAle7rzemUwH7inOxBwYmqAlpCP6ta0vpW8Xpg3zynbNpSVjU5DRURERAZBQbeIyAQJxZI9rqORRK2jZnqinFboLEOWHnOC7ojbQ7s3MOJrjIcsOx2XcX48NZ2gpxtg927YscMp76nqZ4j+/PnJLvHycojHR6OpIiIiIiekoFtEZIKEok7QbVkWM7JmjOhcxkB7tRN0uzwx0grq8MRjBGIRoKuXe5JnLu/mwkVGxFnqq83dToyBA+SSkmT5j9ty2bo1RaVAAM44wylHo3D06Ci1VkRERGRgCrpFRCZA3I4TiTsBccATwDPC9bM7m/OJdTo92elF1bjcNrmdyUzdjYFMrtr74oiuMZ4yIs5rMUCLOzhg3UAA8ro6uJvDaTSF++nRX706WS4tJfUEcBEREZHRpaBbRGQC9BxaHvCMfNh3e3Wypzyj5BgA00LJodlTZT53t+6gG6DpBPO6AWbOTJYPN+f3X6k7Om9thYqKkTRRREREZFAUdIuITICeSdTSPCmSfw1R76C7CugddDekZfU5ZjLrHl4O0OTpf173Aw84X6dPB5fl9Fwfbs7vvxO7O+sawMsvj7SZIiIiIiekoFtEZAJ0z+cGSPOOLOiOhf2EG53eXU+gA296BwDTQske4oa07JTHTlZD7ekOBGBBgVMvGPFT2ZSRuuL06eDvCuj37IGWlhG3VURERGQgCrpFRMZZ3I4nerq9bm9iPvf6DetZv2H9kM8XPDYLY5wkaf6c5sT27p7uqMtDyOtPdeik5Y97ONJYCSQzmG8u2zzgMctnNibKbx/tZ4i5ywVz5zplY+DVV0feWBEREZEBKOgWERlnNe012MYGRmdoefBYcrkxf24TAIFwjLSuzOVB39RYKqwnCysxxLzDFabTipzwmGUlzXhczvd117F84nY/2drnznWCb4CdOyEW61vngQeSY9dFRERERkBBt4jIOKtsqUyUR5pELR7x0VHrrJnlTe/Ak+5kLM9t6UzUmSrrcx+v9xDzE6/X7ffazM5uBqAj4uGJv/QzpD4QcIaZA3R0wDvvjLSpIiIiIv1S0C0iMs6OtB5JlEc6n7u9agbNhxbTUrqIzJmViaW4ewbdwZMi6D7xvG6ABbnJIeYHGqf1X3HevGT5lVe0fJiIiIiMGQXdIiLjrLLV6el2WS787pHNtW47mhxa3lKWzMzdK+iegsPLATI7k+1u9Jw46N66FWZmtpLmiQJQ0ZZLW9ibunJeXrK3+9gxOHp0xO0VERERSUVBt4jIOGrtbKU53Aw4Q8stq595x4Ngxzx01DiBo8sbxZsRTOzLbXHmQBssOqZYErVumZEA3d+dBvfgsoy7XYbF+fUAGGPxRmU/vd2WBeedl3z+yisjaKmIiIhI/xR0i4iMo1EdWl49AzvuBsCf05gYWu6yDTmtTk93h9ePsabmR73buMiOZwLOWt029qCOW5JXj4UzXHxHeUFy5PjxidHOPBPSuu7Brl3Q3j4azRYRERHpZWr+JiYiMkWNZhK10mc+nDxXV9ZygJa/nE/boYXA1E2i1m1aPAcAG5t2X+cJajuy/BEWFjrD0ZtDfg7V9ZNQzeuFs892yvG4k8lcREREZJQp6BYRGUfd87lhZMuF2TE3nS25ALg8UbxZyTnP3etzw9Sdz90tP5YMmIO+8KCPWzW3PlHeUV7Qf8VzziExRODVV8EeXG+6iIiIyGAp6BYRGScxO0ZVWxUAPrcPt8s97HN11EzH2N1Dy5vpOTW8Z9A95Xu6YzmJctAfSlln2dYHWLa199Dx6n0tpHudee37anJpDaVIqPbAA/DrX8OSJc7z1lbYty91PREREZFhUtAtIjJOLn3sUn7x1i+AvvO5129YP6RztR2blSj7eyyTBcf1dE+hoHtz2eY+2/LjPYPuwfd0u12GxXlOb7dtLF4tK+y/shKqiYiIyBhS0C0iMk5CsWRP7UiGlhvbRXuVE3S3VszH12NoOcZQ2OFk+g57fETcHgCu2vvisK83kQLGR4btfK+CvjCG3utpH9/D3WvftHrcLme4+I6KQqLxfjLFL1gA07qynJeWwj33jLzhIiIiIl0UdIuIjJNQNBl0jySJWkdtMfGIM1zan9OE5UoGopnRMGkxZ1h1bXoOjGBJssmie153zBWnzdUx6OPSvVHOmO4kmOuIeHj7aH7qipYF556bfF5aOuy2ioiIiBxPQbeIyDgwxhCOOcOjA54APrdv2OdqOzo7Ufb3yFoOJHq5AerT+8naPcVM6zHEvNEzuPW6u5naWsrLnfJLh4uTy4cdb+VK8HXdk8pK6BxcpnQRERGRE1HQLSIyDqJ2lJgdA2B29mysYfZAG9si2DWf23LF8Wf3DkJ7Bt216TmcDPJ7JFNrcA8t6C5M76AoPQhAbVsaZQ1ZfSs98AAEAsnlw2wbysqG21wRERGRXhR0i4iMg+5eboBZ2bMGqDmwUEMh8U4/AL7sFixX7yWuCjuS87vrTpagO57ssW8YYk83wGkFtYnyw38pYuvWfiquWQOurh+LpaUQiw35WiIiIiLHU9AtIjIOes7nnp0ze4CaA2s7MpuW0kW0lC4icNzQcoyhqEcStamUuXwgmXYaAdsZ+l3vae6TTO1E5mY3kx2IUF4OR1pzaOvsZ2h/Tg4sX+6Uo1FnmPlAy4VpKTEREREZBAXdIiLjoLun27IsZmbNHNY5jIHgsa6A3bLx5fQOurMiIQInWRI1AAuLgngeAJ1WlFZX+5COd7sM586rA8BgsaehqP/K55+fLB865Aw1FxERERmBSRF033fffcybN49AIMDq1at5ZYB1Un/2s59xwQUXkJeXR15eHmvXrh2wvojIROuMddIZdxJz+d1+/B7/sM4TbiygYbfTE+vPbsXl7h0QFoR6Di0/OZKodSuK5ibKdZ6m/iv2Y9XcOtyW8/3a31hAZ7SfH3/FxVDUFZSHQnDkyJCvJSIiItLThAfdTz75JLfeeit33HEHO3fuZMWKFaxbt47a2tqU9bds2cJ1113H5s2b2b59O7Nnz+aDH/wgR48eHeeWi4gMzpHWI5iutNkjWSos2CtreWOf/UXtzYnyyZJErVt3Tzc4Q8yH6rWX4izMc75nUdvNg38o6L/y4sXJ8v79EI/3X1dDzEVEROQEJjzo/sEPfsBNN93EZz7zGU4//XTuv/9+0tPTeeihh1LW/+Uvf8k//dM/sXLlSpYtW8Z///d/Y9s2mzZtGueWi4gMTkVLRaKc5k0b1jmM6bFUmGXw5/Tt7S3pEXTXZOT12T8VbC7bzOayzX22F8RyE+XaYfR0A5xRUJMo764vJm73M/w+Px8KC51yKOTM7RYREREZpgkNuiORCDt27GDt2rWJbS6Xi7Vr17J9+/ZBnaOjo4NoNEp+fn7K/Z2dnbS2tvZ6iIiMp8rWZNCW5hle0N3ZnEe0PQMAX2YrLk/v3leXbSeSqLX50gh5hzeEfbLyGy/pUec1NXnaiDFA73M/cgNhZmU1A9Ae9bHr2AB/mFi2LFk+cMBJrCYiIiIyDBMadNfX1xOPxykuLu61vbi4mOrq6kGd47bbbmPGjBm9Avee7rrrLnJychKP2bOHnzVYRGSobGNzpNWZF+x1e/G4PMM6z6E/fZSW0kUA+I/PWg5MC7XhsZ1AtHqK9nKfSHY4HQAbm8ZhLB0GcGZhsrf774eKMf0lQs/NhZISpxwOw6uvDut6IiIiIhM+vHwkvvOd7/DEE0/w1FNPEQiknid5++2309LSknhUapigiIyjmmANkbiTUTzgCWANM6N4uLl7NI9JGXSXtCe3VWfmDusak112Z3qiXDeMed0AJRlBCtKd7OfVrekcrs/qv/LSpcny1q3QPrSs6SIiIiIwwUF3QUEBbrebmpqaXttramoo6e5h6Mf3v/99vvOd7/DXv/6Vs846q996fr+f7OzsXg8RkfHSaz73cIeWt2YTDzvHejODuL19hzr3DLpr0k/Wnu7k9284GczBWUXtzIKevd0D/KzJzobu0VHhMDz33LCuKSIiIqe2CQ26fT4fq1at6pUErTsp2po1a/o97u677+bb3/42zzzzDOecc854NFVEZFh6zeceZhK14NE5iXIgRdZygOKuJGoxl5uGtAF6b6ewjEgAj3EDw8tg3m1uThNZPmcJt0N12VS3DHBfli0Dr9cpv/66lhATERGRIZvw4eW33norP/vZz/j5z3/Onj17+PznP097ezuf+cxnAPjUpz7F7bffnqj/3e9+l2984xs89NBDzJs3j+rqaqqrqwkGgxP1EkRE+tXd0+2yXPjdw0tuFjw6K1FONbQ8PRImKxLitPoKZrfUYrsm/KN9TLiwyI87S6G1uTrosMLDO48FZ/SY2/23g1293Q880HcJsEAAlixJPv/LX8DuvT66iIiIyEAm/Deza665hu9///t885vfZOXKlbzxxhs888wzieRqFRUVVFVVJer/5Cc/IRKJ8A//8A9Mnz498fj+978/US9BRCSllnALrZ3Oiglp3rRhzeeOBDOoef1cALzpQdy+SJ86M4PJ3u9Wf3qf/SeT4mhypYpqb8Owz7M4r55MvzNMf9exfGprB6g8bx4UFTnlY8fgpZeGfV0RERE59Qwvje4ou+WWW7jllltS7tuyZUuv52VlZWPfIBGRUdBzPnfAkzrZ44kEjyVXXEjVyw0wI5gMPpsCmcO6zlRREpvG2xwEoMbTyILIzGGdx+MyvGdhNc/udr6/W7bAx/qr7HLBZZfBI484C6Zv2gSLFg3ruiIiInLqmfCebhGRk9VoJFELHh1E0N3m9HQby6LVl85Ve1/kqr0vDut6k11RLA8LZ8RAtbd+ROcKVdZRe9Tp7d69G2paB7hHc+dCd66ReByeekrDzEVERGRQFHSLiIyB9RvWc/smJx+FhTWsnu5YKI1QQwEAnkAHnkDfOcwZkRC5nc5SVq2+9JNuPvfmss1sLtuceO4zXqbFnHndze4gIauzT/3B8rgMy4uqE89f2D994APe/34oLHTKVVWwb9+gryUiIiKnrpPrtzMRkUkibsfpjDsBYXFmMW6Xe8jnCB4bOIEawIwe87mb/RlDvsZUVBKblijXjGBeN8DS/LrE3O7dVXkcaRrge+jxwP/6X85wc4CDB53guz/HJ2UTERGRU5KCbhGRMRCKhTDGADA7e/YJaqd2oqzlADPbegTdgVMk6I4mg+5qT+ol1AbL4zJcuCQZOD+zaxZdty216dPhAx9IPn/9dairG1EbRERE5OSmoFtEZAyEoqFEeV7uvCEfH+/001HvrOLg9ofxpHX0rWQMs9qcec1xy0Wr7+TOXN6tKJZPdx74kWQw77ZqTl1i1PiRpkzeOZY38AHvfjeceaZTjsfhySchFBr4GBERETllKegWERkDodjIgu5g1UyM7YSW/twmUq02lhcOkhVxrnMsM/+km8/dH7/xkp+Y191Kp9V3GbWhcLmgqcdAgp/+aRbR+ADLu1kWXHEFZGc7z+vr4Ykn4Cc/6f8YDTUXERE5ZZ0av6GJiIyjzlgn4ZiT9KwwvZAM39CHfffMWh7ITT2Eek5rclhzRXbhkK8xlRXHnPW6DSMfYg7OMtyLClsAaI/62HawZOADfD445xznK0B5uTPUXBnNRURE5DgKukVERllla2ViPvewhpZHfLTXOEGfN60DT3p7ynpzewbdOadW0D09WpAoH/OOzpzqdWccwWU59+0Xz03nqWdPsMxbRgasXp0MvKuq4H/+h4EnhYuIiMipRkG3iMgoK2suS5SHE3S3HZmDsZ2P56zZFSmHlnvjUUqCzpjoVl96yszlJ+ta3eBkMHd1/Qg76qsd0bm2bnW+7nk9THaHs4SYMRYvHplH3B5gmDlAbq7Tu71zp/P81Vdhy5bUdTXEXERE5JSkoFtEZJT1DLrn5s4d8vFtFcljsmaXpawzq60Bt3GGMpfnFJIyMj+J+YyXoqiT8KzN1UGrK/VogKE6q6iK3IAzT74hlM6LB4tPfFBREaxYkXz+wguwffuotEdERESmPgXdIiKjKBKPcKztGAA+t49MX+aQjo+2Z9BRXwSAP7ulz1Jh3b3X85trEttOq688qXu1+zMzWpQoH/WOrLd72VanF9rjMrx3VhkWzhDxFw5MH3jt7m6zZyczmgM8+yxUVIyoTSIiInJyUNAtIjKKKlsqsbt6oNO96azfsH5Ix7dV9uzlLk/Zge2248xvcYLuiNtD0ymyPjfA5rLNiUfZ4f2UNpdS2lzKEd/orZVdmN7B8iJnmHncdvHrHQvoSLFiWx/z58NFFyWfv/km7Nkzau0SkaljqJ/9InJyU9AtIjKKSptLE+U07wkScR3HGGitnJd4PtDQcl88BkBZThHGOjU/yjMjAXxxLwDVnnpixEft3CuLqijKCALQEvLxq19BLDaIAy+80FnHu9tvfgOHD49au0RERGTqOTV/UxMRGSOHGg8lyune9CEd29mSS2eLs/50R20xVS+/N2W9hU1VyXJjVco6pwILi2kdWQDErPioZTEHcLsMF885TM3RKOXlUFYGTz3Ve0Ww7gRsvRtlwbp1sHKl8zwed9bwbuo9TUBJ1URERE4dCrpFREZJe6SdqqATBAc8ATwuz5CObyld2PV1EYH8BgDKN63rVccyNvN6DC1vTBvanPGTTUF7VqJc4ase1XOne6OsnXcQj8uJtHftgt/+dhA93pYFV1wBJV1rfUci8PLL0No6qu0TERGRqUFBt4jIKDnUNPxebjvmpq1yPgCWK04gryFlvWmhNvwaWp6QF8rE3bW8WoWvBpvRXSO7ML2Di+ccwtX1bd61Cx57DILBExzocsHZZzvzvAGiUSfwPr7HW0RERE56p/ZvayIio6jn0PIM39CSm7UdmUs84sxP9uc24vKknp88PZgM2vblzxxGK08ubuMiP+T0dndaEVoDg8l4NjSzsluxLHjjDed5WRncfz9UtOakHmKeaJwbrr0WZnbdp3AYHn0U2kdneTMRERGZGhR0i4iMAmNMoqfb5/YR8ASGdHzz4UWJcnph6uWvMiIh8sNOF2ubL8CRrIJhtvbkUtCenSjXZbSMyTWKi538aFldo9mDQdhUtohNZQtpCTl/LEkZgPv9cP31kNk1DaCpCTZscOZ6i4iIyClBQbeIyCioba8lGHEC4nm583ANYdh3qGEa4cZpAPhzmvGkp+4JXdZwFLqGT++dNpuU64mdgqZ1ZOE2zve7NrMVG/sERwzdsq0PcP47D/C5z8HixcntFa253Lv5TP52oISY3c/9SE93IvZA1x9ijhyBnTt7Z2UTERGRk5aCbhGRUdBzPvfCvIVDOrbpwGmAk0At3JifMpa2jM1pDZWAE3ZraHmS13YzK1oEQMQdpcqbej78aMjIgI9/HK66CtI8UQAOHnbx0LMz+f3+0zlwoJ8D09Jg9Wqn5xuguho2bhyzdoqIiMjkoaBbRGQUHGw8mCgvzB980B0JZhA8OgsAlzeayFp+vIVN1WRFQgBUZBfS5h9aoraT3YJI8o8Qh31Hx/Ra1s8eYPn2B/jo0l2cNq0Wq2v0QVskwC9v3cFvP7eRUCjFgdnZcPXVJLKy3Xsv3H77iS+o5cVERESmtKGtZyMiIn2EY2Hu/NudGGPwur3cceEdgz626cAyjHG6ttMLarBcKbJvG8OK2tLE0zeL54+4zSebWZFivMb5kVbuq2JN+3I8uMf0mn53nHfPrGRJfj0vHZtNTdfyZW8fzafsv+AjoWye74qXP9t90KJF8OEPw6uvOs/feQf27YOlS8e0rSIiIjJx1NMtIjJChxoPYYwTLGd4M7AGOdc6FkqjtczpFXd54qT1k0BtZrCBog4nQVjQl8bRzGmj0OqTiwc38yLTAYhaMUp9x8bt2vlpIS5bsJ8LZpcS8DrLubW1wWMvL2bPnhRTt88+2wm+u/3mN3Bs/NorIiIi40s93SIiI7S3fm+inOnLHPRxjftOx467aSldxPxL/0hHbXHfSsZwblVyonBlVkEigdpVe18cfqNPQks65/DXrvL+QDmLI7PH5DqpspRbFizKa+Qfzm3jD2/O5eCOHZSXA+U7qHi5lfbrPGT4Y8mh4suWQSgER486a3g//jh4PE7Stc9+tu8FREREZMpST7eIyAjE7TgHGp2g2O1yk+4d3FzrWCiN8ucupaV0EZYrTvBo6sRo81pqE2tzNwUyqE3PGZ2Gn4QKY3lkRpwM4bWeJhrdrePehuy0KNevPsgHTz+CZTmjH6qC2fz3tmXUtfVYRs6yYMUKyM93ngeD8PLLTgAuIiIiJxUF3SIiI1DeUk44FgaGNrS8YfeZmK5lrtIKa3F1DUvuyTI2q4/tSzx/acZSLRM2AAuL6a35ief7/OUT0w4LYkdruHT+ftK9EQCaOvz838eWcrguK1nR7YZzz4VpXdMFgkF47bWhreGtJGsiIiKTnoJuEZER2F23O1HO8GUM6pjaWmjpmsttueNkFFWlrLeyppT8sLP2d3VGHmU5KYafSy/FwVw8xkmgdtBfScjqHNfrb92aHH5ekhnkw4v2Mi2tg/JyiMQ9PPbyYnaUFyQP8PngE59w1iIDqK+HP/wBTIqEeiIiIjIlKegWERmmuB1PBN0uyzXo+dwbN5LIWJ5RfCxlL3dOuJ1zuuZyG+Dvs5apl3sQvLabJZ1zAIhZcfYGykb1/EPtWM7wRrlswT5mZzcDYBuLP741l7/unplMsJaXB9ddl1xK7M03YcuW0WqyiIiITDAF3SIiw1TaXEpHtANwerld1ok/UjtqizlwAFpKF+H2dZJeVNOnjtuOc0n5m3iME5W9VTSf91buVuK0QTojvBAL5w8UewKlROn7R43hWrZ16MO5vW6b9889xBkFNZSXQ3k5/P1QCb/asZBIzOVE8rNmwbvelTzohRdg06a+Pd4aTi4iIjLlKOgWERmmd2rfSZSz/dknrG9si7q3koFVxvQjWK7j1pMyhgsqd1Pc3gxAqy+dV6YvHpX2nioy7TQWdM4AoNOKsjtweIJbBC4LzptxhDUzyxMJ1p59OZev/3wprSGvU2nGDDjjjORBf/ubM9S8z5pjIiIiMpUo6BYRGYZIPMKeuj0A+N1+0r3prNs0cOKuZb/KJNycB4AnvZ1AfkOfOitrSzmtoZLT6itY2nCEZxe8i5hbqzsO1VmhJXQPxn877RBhKzKh7em2bFo9H5h3gKojTu97QyidB/52GgcPdlVYsAAuvzw5leD11+Gll5wkayIyZZzo54GInFoUdIuIDMPuut10xp0kXacXnj7g0PL1G9YTCwfYf+w8WkoX8ZM/vELWrPLeU7SNYWXNYdYcTa75vS9/JvVaIgyAzWWbB11nc9lmXj/8Kou75nZHrRhvpu3vVa/n+bqf93eNwVx7KMfMzGrj8oX7yPI5/3+CnV4eewyeeWcW0bjlZDS/+mpwu3n87cd55a3/gfvvh7KyIbdDREREJp6CbhGRYdhZtTNRPnv62SesX/f2SmJxPwBp0+rwZSZ7Lt12nIsq3u4VcB/OLaE2I3f0GnwKWhlagrtrWbY9gTIa3C0T3KKk3ECYyxftZWZWsk0vlRZz3+Yz2LMHzGmnww03EErrGuUQDMLPfw7vvKO1vEVERKYYBd0iIkNU115HRUsFAIXphczKnjVg/Y66IlrL59NRX4jljpE5ozKxb0ZbA1fv3cZpDUcS216esYTK7MLE8+MTqF2190UlVRuEDDuNFSFnPrzB8GLGm9hMnvnRaZ4YH5h3kJJoBZ6u2Lo55Ofua3bwi19AjX8OD7hvpCXL5+w0BkpL4Sc/ITke/TgPPKBkayIiIpOMgm4RkSF67dhrifKqGauwBljKy465qdmxOvE8c8YRXJ4oJcFGPnTwVT5y4GXywu0AxFxunpu3kp0li8au8aeYM8OLyI07S7k1eFp4M+3ABLeoN8uC0wvq+NznYGFha2L74cPOiPKaqqW8NXc6fPCDJCLzxkZ47DHYsAHa2yeo5SIykIa9Z5y4koicMhR0i4gMQSgaSgwt97q8nFV8Vq/9PZPnrNtUTv2us4gEnaCv0FvFefYrXLPnb3x0/0vMba0D4LT6Cmoycvnt0vM5kD9jnF7JqcGNi/e0r0gkVXszbT9NgcmXlKygAOZ0HmABh5y53jt2YF7bQai+iP/Zeivb7POJ3fR5yM9PHrRvn7Oe93PPQWenerhFREQmKaXEFREZgteOvUbUdubUvmv6u0j3pvdbtylYTHPTEko6Gliwv4NrO39N6dGiXnXafAH25c/kqSXvxgxinW8ZuqJYPu/qWMrO9H0YYFdxJe86tmCim9WHZcG8nGZmZbWwp76IN2ungwtitofvfhfS0qbxrTMuY+mVp2M9txHa2pzlxLZtc7KcNzbC3Lng0v8jERGRyURBt4jIIEXjUV4++jIAFhZrZq3pt67d6aZ19zKudT9PQbgF2+0m4Aon9ldn5LG7YDYH8mbw0f3bFXCPsbPCi6nxNnLUW0fUHeOt6WVc5AqRaadNdNP68LgMy4tqWJTfwF8bi7Dqne2hEDzx2mIWLzqLS69byrTdf3OCbXCGmb/zjjMufelSZ/73ANMeREREZPwo6BYRGaSXj75MMOIMTT698HTy0vL6VjIG8+ZbXPRInBl1h2nMDeBJ62BZ3RFibjfZne0cy8jHZWzOrCvnzDpnOHp/idGUMG10WFhcGFzFM9l/pxQIeyL8JftFPtj67olumiPF0PA0T4zPdPySYEk29QX/QH1X8H3gABw+7Of889dywXt34Zs/0wm4ATo6nED8pz+Fiy5yAvDBBN8PPACf/ezovR4RERFJUNAtIjIIHdEOtlVsA5wA7qJ5F/Wp4+uMM7+iler/+h2BGh8QxnLHCZ/ZwL63ZlKXnoOtob8Txm+8fKB1Nbtjewl5O2l3hfhzzjZ86Z0UdGRPaNu2bu1/X6avlUXvhqoqyN4VoRWIx+Fvf4M3d53Hug+t4fQ152OV/38kIvPqanjiCWey+HveA8uXJxOxiYiIyLjSb38iIoOwpWwL4ZgzPPxd099FYUZySS+MYdHhZpbvaSDQ6OZAV4Lsish8/nZFNs9fVkxNZp4C7kkg3QR417H5ZEacYeURK8rbJeXsLTxCxBWb4Nb1z7JgxgxY4dlFS0tyVHlr2MfXvgY33D6DffMvxax+N+TkJA+sr4enn4b/+A/461+TQbmIiIiMG/3ZW0TkBCpaKnj16KuAk7G8Vy93SwsbrziT69oixOJejjUt5pB1iOfnvIciK8bpW1+HrZkT0/BTyOayzSm3XTzv4sS+i+ddDIA/7uVdR+fjzs2l3FcFQFVWE/UZbdQ2tnBd/kfx4B7wWt3nGkl7U52j5+vouX/ZVmf4+ebKzWzKCPPpC2/hnXdgDlBQvgPKYUPTIgozZ7Jqzums+OgZpO18Ecq7sum3t8OPf+yUr7wSzjwTXn4ZAgHWZ/2RP7I+OcT9uGHm6zes54/X/XHQr22o9UVG0/oN6wH0f1BEJhUF3SIiA4jEIzy992kMBoD3z38/2f5sJ1HVzp3w17+S0xYhbrs41rSIPf5FPOi6HtMe4fzchya49dIfj3FzUXAV+/zlVNoVxFxxoq4YBwqO8evs5zg9vIDFnbNJN4GJbmpKmZmwejWk/+kgrYEZNIWdLPp1wTSe2T2HjX9YwrJlS6hsPcLpLdu5dN7e5MGVlc5jxw6YNo3Fi5ohOwyByflaRUREpjoF3SIi/TDG8NSep2gINQAwO3s2q2ethpYW+MMf4NAhAGzbxaHW5WzOeg9V/iLOaDrM2WnP43bHJ7L5cgIWFss653Fe5WIOTaumJrMZgLArws70vbyevo9ZkSIaM1qIER+w93s8XbX3RZaFfc6THJiT3cKRthzeqishrcAZVRF/ZQe7XoEdrOIF19XUntvBsvSfMCu4l+wgBHbvxOMGGhq49q39lMU2Mm9VAUyf7vSKZ2SkvrgSromIiAyZgm4RkRSMMWw8vJE99XsACHgCXLn0I7h27ISNG6GzE4BIBLZFLuJv2WtoaZyBtz3CyqIX8Ls7J7L5MgT+uJfTa2czu7mAitw6rFwwgMFQ6auhtLiCzpxnmR4tYE60hJAngsFgMTmW5LIsmJ3dwuzsFprDAQ40TeNg0zTCMS/MdZbyPlydzuGOi8B1ERnWbAqbnmJWaD95diPlx1YSz86iaVs7ad49LPHfg2v+PGcI+rJlE/3yREREpjwF3SIix7GNzbMHn+21Jvc1hRcz7YmnnWG5XVrJ5in3FTwf2AiAxxVlRdHfyPS1Tki7ZWSyImmcUTuHczLP44C/kgP+Sjq61laPWXEqfTVOED6nlLZsFyWxaeTHssmLZ5MXzyLdDoxKIG4w2JbBxh7ysbmBMOdOP8rZxceobs9k+9xV1NT0rtOeUUR7wTmUmVVkRBqpqn6RVeEOMuItANRttcnceZisvx4mK+dPvDdUj1n6OtaSxSN+bSIiIqeiSRF033fffXzve9+jurqaFStW8OMf/5jzzjuv3/q//vWv+cY3vkFZWRmLFy/mu9/9Lh/60IfGscUicrJqCbfw1N6nKGsuAyCtNcQ/1BUy/4VnnHncO3YQX7mKvWnv4um/TyNyziJgI35vO6cXvUmWr2VC2y8jl2VncHZoGStDSzjmreePbS2kZfsJuZKjFzpcYQ77jnLYdzSxzcIi3Q6QYQc4WFIGmTvwGDcWYGMwliGOTdyyeWd6KR3ZXmJWnBhxYlacuGVzwDpA3HKC7crcDiqpwGO7CWZ7yLYzOJxXQ1rUR527iRw7E5/xpnwNbpdhZlYb/9D4AHihY4+HOjJoCqczZ+UqXnq2jbaIn4poPocDy2nKmUdOrIGZnYfwVx8mXphJSwtwxCa9ZgYvVjxNWhpYTQ1Y9f+DZ8EcPDOK8JXkk57lJj0d0tPBm7o5k0M/ieJExoKNTWesE4/Lg8tyYVmTY2SMiEyMCQ+6n3zySW699Vbuv/9+Vq9ezQ9/+EPWrVvHvn37KCoq6lP/73//O9dddx133XUXH/7wh3n88ce58sor2blzJ2eeeeYEvAIRORm0hFt49dirvHTkJeLRCAVHGig5VMN7w0WUpDvLS0WjcCRUwvPmBioj88HaAYC71cuygt0EvKGJfAkyyly4mBUtYlndTC7KuIg6TxNVnnqaQ3V4ctzErN5z9g2GdleIdleIhvQ2ynzH+j13U1qQWk9Tn+3dAXe3mCtOzBWn3tNMPc2U59UC0JnjrBmfbgfIiWeSG88kJ57V9TWTNOPv1eue7o0xN6eFuTktvO9KyP/Nfuf8tsWzh15hRfElNIbTqA8tYV/JCuJz5lNU+w6FtbucejFoawNqO+GvLwPOKBDbchNKyyfiz6LTl0UskEnWseVseP11XJlpuNMDeLMCeDIDeLLS8Gf58AcsAgHw++n11edzgnavF9yTY/q8SErGGFo6W2joaKAh1EBTqImGjkaOVgdpKI/QXmvxNgHq/r+fYQUM3ow4ObM8FM4JMC0ng7y0PPICeeSn5ZOflk9uIBe3S//pRU5mEx50/+AHP+Cmm27iM5/5DAD3338/f/7zn3nooYf42te+1qf+j370Iy699FK++tWvAvDtb3+bjRs3cu+993L//fePa9tFZJLrmfTJGGdyq21jx6I0dzTSFKznSHMFx2oO0nT0EOkt7Zxe00JWVRv+mJ/5WUsxdjaHqqAxlMY7Oe+h0u/F9swHwMJwfvOfMcXP47LMBL5QGWsWFkWxfIpi+TRWHeV9/gtpdrfR5G6lydNGsztIhytEuytMpxUZ9HndxoUbNx7jxm3cZEYCuIwLl21RmJlHTfQYMVccC0j1P6zDFabDFabK23v9bZ/xErB9+I0Pn/HgMi6srn+bP7cDk2ljANsyHJi9C3ehs0a5bdlUYehs9bHbzqF84QVURVpZV9dBYXsz0yLNRCttLCz8oVYi6bnk5x7DsizCR5uxDFwQ6SDQ+ggdFY3EjUW067o5WRZhy0X7zLnEaxuJz1uC7Ukn7k0j5k0n5gkkHnFfGlZaAHbvxnrP+Xh9Fl6fhcfjBOUer+V8fWEjL7jX4nLBhy83eD3Ow+M2TgDfXfYYvEc7cFkG996jeH79OK7rrsXjtXB53VhejxPpu93g6VF2u8HlSn3zxiOpXNc1uj++wPncwRgsY2MZG372M+fz7R//0Zng73I5Xx98EG6+2SkPt5d1kibOs41NzI4Rt+PE7JhTNk45FA1hMJQ2leJ+4kncWLg/eQNuy43b5cbz81/g+scbcVtuXJar18M2NlE7SsyOEY1H6Yh20BZpoy3UQnt7E03NNbTVH6Wtuo5YXQxqwWoAq97gbrKZFg5RaJx36sKqenKDr/Vqd9xy0ZrhoSXforTIwioyUAjxXA+BaUVkTJtO5rQS8jMKEgF5XiAPr3syDyERkcGY0KA7EomwY8cObr/99sQ2l8vF2rVr2b59e8pjtm/fzq233tpr27p16/j9738/lk0dV0e3V1D+q5eGdaxlDGbYv/ub1L/V9RCNRyjtGnZ7/HUHcfaUumOV4TS753UHbsIJzj7ki/c+oN9rp9huHX/sEBqVKq5LefxgNw76dfdTcTDHD/I/ZKpaA/+/srCMjcu2u375jOMyBsvu+mpsXLW1WE+8hsuOY+w4toljG5u4bWMMGGOBsTDGIsuAsS3a4jngn43Ln8Mhl5tDtVm4zjuHI8veTdzjh1qnd3vJEsh4Zzf++rAC7lOQGxfT4jlMi+fAcTF2HJtNFZs4f957iVlOMGsZCyfsdeE2LraV/Y1L5r4fF70Dus1HksHRxf73klEZBeAC630EXSE2VtuEvBEWps2h2R2kxR1MGeRHrCgRdxRoP+FraUxv6xO04wHSakibm0V94BWaYm4abBemPYDlLSK7Jcz0ihq8Hj9WewgrBt5AG7btJmp10hZrosPVDj1625s7nK+BpjiE22jb25zYZ3V9b5ze+e6huBa+jmbSa//Sq9c+3vWoabbwdzQxN30LABWvnuCFNnWNLPjzAaf8h9Lk9S2D5er6fLZ6tNoC27IwLjfGcmFbLkx3AFtfB0/s6a4G4OyzDBgrcYKenw7muDn/3ftMV31jW2DbzmefbbDqG7Ae2u18nhln+/E/QxKv6+e7ul5L9/ZGePjNrsZZGJcLLKcN3a/BdAfklnOgs49EoG7q6zG/OpCo1/3VTjx39Tj2+PM5zw0WXbezqx3Ofudjs+svCcamaxKGUzY2tjEYY4NtsI2z3Zg4dtdfH1xd25zPfeN8xWZ1k4XLwPMPfxursdHZvmGX870zBqupGevRl53fl7q+F8aysC0X4Ly2xPfIWHjjUdx2DIyzUoUdc5Nhet/HnjwuDxYWbttFwBPAGIPBELfjYOK4gxEIAhXJYyxXCLenGdu9l1Y3NPk87HW7ibm9xDwecLmx3B5cLg8utxuXy5P84wqurtvl6vofN3rD2DUgXkZbbloehRl9RzIPJOeseZzxmf6nHU8VExp019fXE4/HKS4u7rW9uLiYvXv3pjymuro6Zf3q6uqU9Ts7O+nsTM7Da2lx5lu2tk7eREc1B4/S9OrrE92MlKLxKKFg/0MmRSaTcH2UaFsQgKzMnnt6/irh5KnuCHqYPi2DjPRM4ml5bGmcS0XWGdTOnsfK6S6Id5Kf00mk9TCWbzF1dZDnbqI9CuFYdBxflQxFezSUuD/tUWf4f3/Pex7TUzgW7bXt+OepxCMGqxO8KX7M2tjEojahaN8M9z3b0rPtndEIXtxktqaRSRorM5ckjyFCiztIq7u962uQNleITleEiHXi/5uxSJxIpG89C4t4OIYJ25i4Czc2ljdE3bwA9XhoyotQP3smGIM3FmdG6U78kRANTZXkzJ9FwdEjuKMW7qiFJ2LhjoInCq3pxWRFqyGQD7aFibuwjQtjuzDGcgJPY2FsFxFXGw1NpuuPY317nL2mnWjceT+39Pi7QVYmdL31k3XDzh8gAmkW4fZ2AmnOcW3B3p8PAz3vWQ43BAlYqZPdddfr2Yben0Gp9W1zkIAv2md7z/OF253XFY1bva4RDoaIxtwpr338a+xPuD5IwPT+v9HdllTH99w32Gukcvw1et75/gZh213HuTqd9eYj0TDheuf+BEwsUS/c6CLggh5/KqEtaAB7EN8n548DHpcHj8uL1+3Fa3nwuL3UtWay5OxcMqfnsPtwAFp+zrtvXkssHCfYHCVYG6K9toVgbSuE2ojFo8RMjKjtPEKheI8/ynT/aSnS66eVDcNIrygyebj92XgCeUM6JmSizG6dvCtpdMeU5kSdTGYCHT161ADm73//e6/tX/3qV815552X8hiv12sef/zxXtvuu+8+U1RUlLL+HXfc4fxGrYceeuihhx566KGHHnrooYceo/yorKwcMO6d0J7ugoIC3G43NcetZ1JTU0NJSUnKY0pKSoZU//bbb+81HN22bRobG5k2bZoySU4Bra2tzJ49m8rKSrKzsye6OTJEun9Tm+7f1Kb7N7Xp/k1tun9Tn+7h1DZe988YQ1tbGzNmzBiw3oQG3T6fj1WrVrFp0yauvPJKwAmKN23axC233JLymDVr1rBp0ya+9KUvJbZt3LiRNWvWpKzv9/vx+/29tuXm5o5G82UcZWdn6wNvCtP9m9p0/6Y23b+pTfdvatP9m/p0D6e28bh/OTk5J6wz4dnLb731Vm644QbOOecczjvvPH74wx/S3t6eyGb+qU99ipkzZ3LXXXcB8MUvfpELL7yQe+65h8svv5wnnniC1157jQe6198UERERERERmSQmPOi+5pprqKur45vf/CbV1dWsXLmSZ555JpEsraKiAleP5TrOP/98Hn/8cf7v//2/fP3rX2fx4sX8/ve/1xrdIiIiIiIiMulMeNANcMstt/Q7nHzLli19tl199dVcffXVY9wqmQz8fj933HFHnykCMjXo/k1tun9Tm+7f1Kb7N7Xp/k19uodT22S7f5Yxw1/VWURERERERET613fRSxEREREREREZFQq6RURERERERMaIgm4RERERERGRMaKgWyaNsrIybrzxRubPn09aWhoLFy7kjjvuIBKJDHjcRRddhGVZvR6f+9znxqnVct999zFv3jwCgQCrV6/mlVdeGbD+r3/9a5YtW0YgEGD58uX85S9/GaeWSk933XUX5557LllZWRQVFXHllVeyb9++AY955JFH+rzXAoHAOLVYevrXf/3XPvdi2bJlAx6j997kMW/evD73z7IsvvCFL6Ssr/fexNu6dSvr169nxowZWJbF73//+177jTF885vfZPr06aSlpbF27VoOHDhwwvMO9WeoDM9A9y8ajXLbbbexfPlyMjIymDFjBp/61Kc4duzYgOcczuewDM+J3n+f/vSn+9yLSy+99ITnHc/3n4JumTT27t2Lbdv89Kc/ZdeuXfzHf/wH999/P1//+tdPeOxNN91EVVVV4nH33XePQ4vlySef5NZbb+WOO+5g586drFixgnXr1lFbW5uy/t///neuu+46brzxRl5//XWuvPJKrrzySt55551xbrm88MILfOELX+Cll15i48aNRKNRPvjBD9Le3j7gcdnZ2b3ea+Xl5ePUYjneGWec0etebNu2rd+6eu9NLq+++mqve7dx40aAAVdm0XtvYrW3t7NixQruu+++lPvvvvtu/vM//5P777+fl19+mYyMDNatW0c4HO73nEP9GSrDN9D96+joYOfOnXzjG99g586d/O53v2Pfvn1cccUVJzzvUD6HZfhO9P4DuPTSS3vdiw0bNgx4znF//xmRSezuu+828+fPH7DOhRdeaL74xS+OT4Okl/POO8984QtfSDyPx+NmxowZ5q677kpZ/2Mf+5i5/PLLe21bvXq1ufnmm8e0nXJitbW1BjAvvPBCv3Uefvhhk5OTM36Nkn7dcccdZsWKFYOur/fe5PbFL37RLFy40Ni2nXK/3nuTC2CeeuqpxHPbtk1JSYn53ve+l9jW3Nxs/H6/2bBhQ7/nGerPUBkdx9+/VF555RUDmPLy8n7rDPVzWEZHqvt3ww03mI985CNDOs94v//U0y2TWktLC/n5+Ses98tf/pKCggLOPPNMbr/9djo6Osahdae2SCTCjh07WLt2bWKby+Vi7dq1bN++PeUx27dv71UfYN26df3Wl/HT0tICcML3WzAYZO7cucyePZuPfOQj7Nq1azyaJykcOHCAGTNmsGDBAq6//noqKir6rav33uQViUR47LHH+Md//Ecsy+q3nt57k1dpaSnV1dW93mM5OTmsXr263/fYcH6GyvhpaWnBsixyc3MHrDeUz2EZW1u2bKGoqIilS5fy+c9/noaGhn7rTsT7T0G3TFoHDx7kxz/+MTfffPOA9T7+8Y/z2GOPsXnzZm6//XZ+8Ytf8IlPfGKcWnnqqq+vJx6PU1xc3Gt7cXEx1dXVKY+prq4eUn0ZH7Zt86UvfYn3vOc9nHnmmf3WW7p0KQ899BBPP/00jz32GLZtc/7553PkyJFxbK0ArF69mkceeYRnnnmGn/zkJ5SWlnLBBRfQ1taWsr7ee5PX73//e5qbm/n0pz/dbx299ya37vfRUN5jw/kZKuMjHA5z2223cd1115Gdnd1vvaF+DsvYufTSS3n00UfZtGkT3/3ud3nhhRe47LLLiMfjKetPxPvPMyZnFenha1/7Gt/97ncHrLNnz55eySeOHj3KpZdeytVXX81NN9004LGf/exnE+Xly5czffp0LrnkEg4dOsTChQtH1niRU8AXvvAF3nnnnRPORVuzZg1r1qxJPD///PM57bTT+OlPf8q3v/3tsW6m9HDZZZclymeddRarV69m7ty5/OpXv+LGG2+cwJbJUD344INcdtllzJgxo986eu+JjI9oNMrHPvYxjDH85Cc/GbCuPocnj2uvvTZRXr58OWeddRYLFy5ky5YtXHLJJRPYsiQF3TLmvvzlLw/4F3yABQsWJMrHjh3j4osv5vzzz+eBBx4Y8vVWr14NOD3lCrrHTkFBAW63m5qaml7ba2pqKCkpSXlMSUnJkOrL2Lvlllv405/+xNatW5k1a9aQjvV6vbzrXe/i4MGDY9Q6Gazc3FyWLFnS773Qe29yKi8v57nnnuN3v/vdkI7Te29y6X4f1dTUMH369MT2mpoaVq5cmfKY4fwMlbHVHXCXl5fz/PPPD9jLncqJPodl/CxYsICCggIOHjyYMuieiPefhpfLmCssLGTZsmUDPnw+H+D0cF900UWsWrWKhx9+GJdr6P9F33jjDYBeP/hk9Pl8PlatWsWmTZsS22zbZtOmTb16ZHpas2ZNr/oAGzdu7Le+jB1jDLfccgtPPfUUzz//PPPnzx/yOeLxOG+//bbea5NAMBjk0KFD/d4Lvfcmp4cffpiioiIuv/zyIR2n997kMn/+fEpKSnq9x1pbW3n55Zf7fY8N52eojJ3ugPvAgQM899xzTJs2bcjnONHnsIyfI0eO0NDQ0O+9mJD335ikZxMZhiNHjphFixaZSy65xBw5csRUVVUlHj3rLF261Lz88svGGGMOHjxovvWtb5nXXnvNlJaWmqefftosWLDAvO9975uol3FKeeKJJ4zf7zePPPKI2b17t/nsZz9rcnNzTXV1tTHGmE9+8pPma1/7WqL+iy++aDwej/n+979v9uzZY+644w7j9XrN22+/PVEv4ZT1+c9/3uTk5JgtW7b0eq91dHQk6hx///7t3/7NPPvss+bQoUNmx44d5tprrzWBQMDs2rVrIl7CKe3LX/6y2bJliyktLTUvvviiWbt2rSkoKDC1tbXGGL33poJ4PG7mzJljbrvttj779N6bfNra2szrr79uXn/9dQOYH/zgB+b1119PZLf+zne+Y3Jzc83TTz9t3nrrLfORj3zEzJ8/34RCocQ53v/+95sf//jHiecn+hkqo2eg+xeJRMwVV1xhZs2aZd54441ePxM7OzsT5zj+/p3oc1hGz0D3r62tzXzlK18x27dvN6Wlpea5554zZ599tlm8eLEJh8OJc0z0+09Bt0waDz/8sAFSPrqVlpYawGzevNkYY0xFRYV53/veZ/Lz843f7zeLFi0yX/3qV01LS8sEvYpTz49//GMzZ84c4/P5zHnnnWdeeumlxL4LL7zQ3HDDDb3q/+pXvzJLliwxPp/PnHHGGebPf/7zOLdYjDH9vtcefvjhRJ3j79+XvvSlxL0uLi42H/rQh8zOnTvHv/FirrnmGjN9+nTj8/nMzJkzzTXXXGMOHjyY2K/33uT37LPPGsDs27evzz699yafzZs3p/zM7L5Ptm2bb3zjG6a4uNj4/X5zySWX9Lm3c+fONXfccUevbQP9DJXRM9D96/7dMtWj+/dNY/revxN9DsvoGej+dXR0mA9+8IOmsLDQeL1eM3fuXHPTTTf1CZ4n+v1nGWPM2PShi4iIiIiIiJzaNKdbREREREREZIwo6BYREREREREZIwq6RURERERERMaIgm4RERERERGRMaKgW0RERERERGSMKOgWERERERERGSMKukVERERERETGiIJuERERERERkTGioFtERERERERkjCjoFhERmaS2b9+O2+3m8ssvH5Pz//znP+fcc88lPT2drKwsLrzwQv70pz+NybVEREROVQq6RUREJqkHH3yQf/7nf2br1q0cO3ZsVM/9la98hZtvvplrrrmGt956i1deeYX3vve9fOQjH+Hee+8d1WuJiIicyhR0i4iITELBYJAnn3ySz3/+81x++eU88sgjAHz84x/nmmuu6VU3Go1SUFDAo48+CoBt29x1113Mnz+ftLQ0VqxYwW9+85tE/Zdeeol77rmH733ve3zlK19h0aJFnHbaadx555186Utf4tZbb6WysjJR/8UXX+Siiy4iPT2dvLw81q1bR1NTU+Jad999N4sWLcLv9zNnzhzuvPNOALZs2YJlWTQ3NyfO9cYbb2BZFmVlZQA88sgj5Obm8vvf/57FixcTCARYt25dr+uLiIhMZQq6RUREJqFf/epXLFu2jKVLl/KJT3yChx56CGMM119/PX/84x8JBoOJus8++ywdHR189KMfBeCuu+7i0Ucf5f7772fXrl38y7/8C5/4xCd44YUXANiwYQOZmZncfPPNfa775S9/mWg0ym9/+1vACZIvueQSTj/9dLZv3862bdtYv3498XgcgNtvv53vfOc7fOMb32D37t08/vjjFBcXD+m1dnR0cOedd/Loo4/y4osv0tzczLXXXjus75uIiMhk45noBoiIiEhfDz74IJ/4xCcAuPTSS2lpaeGFF15g3bp1ZGRk8NRTT/HJT34SgMcff5wrrriCrKwsOjs7+fd//3eee+451qxZA8CCBQvYtm0bP/3pT7nwwgvZv38/CxcuxOfz9bnujBkzyM7OZv/+/QDcfffdnHPOOfzXf/1Xos4ZZ5wBQFtbGz/60Y+49957ueGGGwBYuHAh733ve4f0WqPRKPfeey+rV68GnLnmp512Gq+88grnnXfekM4lIiIy2ainW0REZJLZt28fr7zyCtdddx0AHo+Ha665hgcffBCPx8PHPvYxfvnLXwLQ3t7O008/zfXXXw/AwYMH6ejo4AMf+ACZmZmJx6OPPsqhQ4cS1zDGDKot3T3dqezZs4fOzs5+9w+Wx+Ph3HPPTTxftmwZubm57NmzZ0TnFRERmQzU0y0iIjLJPPjgg8RiMWbMmJHYZozB7/dz7733cv3113PhhRdSW1vLxo0bSUtL49JLLwVIDDv/85//zMyZM3ud1+/3A7BkyRK2bdtGJBLp09t97NgxWltbWbJkCQBpaWn9tnOgfQAulyvR9m7RaHTAY0RERE426ukWERGZRGKxGI8++ij33HMPb7zxRuLx5ptvMmPGDDZs2MD555/P7NmzefLJJ/nlL3/J1VdfjdfrBeD000/H7/dTUVHBokWLej1mz54NwLXXXkswGOSnP/1pn+t///vfx+v1ctVVVwFw1llnsWnTppRtXbx4MWlpaf3uLywsBKCqqiqx7Y033kj5ml977bXE83379tHc3Mxpp502iO+YiIjI5KaebhERkUnkT3/6E01NTdx4443k5OT02nfVVVfx4IMP8rnPfY6Pf/zj3H///ezfv5/Nmzcn6mRlZfGVr3yFf/mXf8G2bd773vfS0tLCiy++SHZ2NjfccANr1qzhi1/8Il/96leJRCJceeWVRKNRHnvsMX70ox/xwx/+MBGg33777Sxfvpx/+qd/4nOf+xw+n4/Nmzdz9dVXU1BQwG233cb/+T//B5/Px3ve8x7q6urYtWsXN954YyLQ/9d//VfuvPNO9u/fzz333NPnNXu9Xv75n/+Z//zP/8Tj8XDLLbfw7ne/W/O5RUTk5GBERERk0vjwhz9sPvShD6Xc9/LLLxvAvPnmm2b37t0GMHPnzjW2bfeqZ9u2+eEPf2iWLl1qvF6vKSwsNOvWrTMvvPBCr3oPPvigWbVqlQkEAiYjI8NccMEF5g9/+EOf627ZssWcf/75xu/3m9zcXLNu3TrT1NRkjDEmHo+b//f//p+ZO3eu8Xq9Zs6cOebf//3fE8du27bNLF++3AQCAXPBBReYX//61wYwpaWlxhhjHn74YZOTk2N++9vfmgULFhi/32/Wrl1rysvLR/BdFBERmTwsYwaZSUVERERklD3yyCN86Utf6rWWt4iIyMlEc7pFRERERERExoiCbhEREREREZExouHlIiIiIiIiImNEPd0iIiIiIiIiY0RBt4iIiIiIiMgYUdAtIiIiIiIiMkYUdIuIiIiIiIiMEQXdIiIiIiIiImNEQbeIiIiIiIjIGFHQLSIiIiIiIjJGFHSLiIiIiIiIjBEF3SIiIiIiIiJj5P8HyAUx2OE4dRQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "to_chart = [\"MedInc\", \"HouseAge\", \"AveRooms\", \"AveBedrms\", \"Population\", \"AveOccup\"]\n",
    "\n",
    "# Determin relationship between extreme MEDHOUSVAL and other features\n",
    "extreme_highend_housing_df = housing_df[(housing_df['MedHouseVal'] >= 5)]\n",
    "extreme_highend_housing_df\n",
    "\n",
    "extreme_lowend_housing_df = housing_df[(housing_df['MedHouseVal'] <= 1)]\n",
    "\n",
    "\n",
    "# Explore features with histograms and PDFs on the same chart\n",
    "for feature in to_chart:\n",
    "    fig, ax = plt.subplots(figsize=(10, 4))\n",
    "    \n",
    "    # Plot histogram with density normalization\n",
    "    ax.hist(\n",
    "        extreme_highend_housing_df[feature],\n",
    "        bins=300,\n",
    "        density=True,\n",
    "        alpha=0.7,\n",
    "        label='High-end (MedHouseVal >= 5)',\n",
    "        color='green'\n",
    "    )\n",
    "    ax.hist(\n",
    "        housing_df[feature],\n",
    "        bins=300,\n",
    "        density=True,\n",
    "        alpha=0.4,\n",
    "        label='All Data',\n",
    "        color='blue'\n",
    "    )\n",
    "    ax.hist(\n",
    "        extreme_lowend_housing_df[feature],\n",
    "        bins=300,\n",
    "        density=True,\n",
    "        alpha=0.4,\n",
    "        label='Low-end (MedHouseVal <= 1)',\n",
    "        color='red'\n",
    "    )\n",
    "    \n",
    "    # Plot PDF for high-end subset\n",
    "    extreme_highend_housing_df[feature].plot(\n",
    "        kind='density',\n",
    "        ax=ax,\n",
    "        linewidth=2,\n",
    "        label='High-end PDF',\n",
    "        color='green',\n",
    "        alpha=0.5\n",
    "    )\n",
    "    # Plot PDF for full data\n",
    "    housing_df[feature].plot(\n",
    "        kind='density',\n",
    "        ax=ax,\n",
    "        linewidth=2,\n",
    "        label='All Data PDF',\n",
    "        color='blue',\n",
    "        alpha=0.5\n",
    "    )\n",
    "    # Plot PDF for low-end subset\n",
    "    extreme_lowend_housing_df[feature].plot(\n",
    "        kind='density',\n",
    "        ax=ax,\n",
    "        linewidth=2,\n",
    "        label='Low-end PDF',\n",
    "        color='red',\n",
    "        alpha=0.5\n",
    "    )\n",
    "    \n",
    "    ax.set_title(f\"Binned Count and PDF of {feature } -- Post-data clipping\")\n",
    "    ax.set_xlabel(feature)\n",
    "    ax.set_ylabel(\"Density\")\n",
    "    ax.legend()\n",
    "    plt.tight_layout()\n",
    "    plt.suptitle('Extreme High, Low, and All Data Values for MedHouseVal', y=1.02)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ded76a5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf14a8a2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "6e84082e",
   "metadata": {},
   "source": [
    "### Model Boosting - Seems to overfit (Too strong of a model) \n",
    "#### - Final r2 score was .96 with nearly 0 deviation (So likely an upperbound for the dataset)\n",
    "#### - Boosting has always felt a little sus for me anyways, \n",
    "- although the model doesn't overfit as bad if I Boost with another LinearRegression Model (Likely due to simplicity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0668d2ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Linear Regression Boosting\n",
    "#X = housing_df.drop(columns=['MedHouseVal'])\n",
    "#y = housing_df['MedHouseVal']\n",
    "#lin_reg = LinearRegression()\n",
    "#cv_scores = cross_val_score(lin_reg, X, y, cv=5, scoring='r2')\n",
    "#\n",
    "#print(f\"Linear Regression CV R² Scores: {cv_scores}\")\n",
    "#print(f\"Mean R² Score: {np.mean(cv_scores)}\")\n",
    "#\n",
    "## Fit and evaluate the model\n",
    "#lin_reg.fit(X, y)\n",
    "#r2_score = lin_reg.score(X, y)\n",
    "#print(f\"R² Score on full data: {r2_score}\")\n",
    "## The mean R² score from cross-validation and the R² score on the full data provide insights into the model's performance.\n",
    "#\n",
    "## Make predictions\n",
    "#lin_reg_preds = lin_reg.predict(X)\n",
    "#\n",
    "## Plot predictions vs actual values\n",
    "#plt.figure(figsize=(10, 6))\n",
    "#plt.scatter(y, lin_reg_preds, alpha=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9f8a5d3",
   "metadata": {},
   "source": [
    "### Binning "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "fe00d85e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MedInc</th>\n",
       "      <th>HouseAge</th>\n",
       "      <th>AveRooms</th>\n",
       "      <th>AveBedrms</th>\n",
       "      <th>Population</th>\n",
       "      <th>AveOccup</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>MedHouseVal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.852856</td>\n",
       "      <td>28.639486</td>\n",
       "      <td>5.396687</td>\n",
       "      <td>1.089361</td>\n",
       "      <td>1421.004360</td>\n",
       "      <td>2.931212</td>\n",
       "      <td>35.631861</td>\n",
       "      <td>-119.569704</td>\n",
       "      <td>2.068558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.797798</td>\n",
       "      <td>12.585558</td>\n",
       "      <td>1.779327</td>\n",
       "      <td>0.285856</td>\n",
       "      <td>1071.514855</td>\n",
       "      <td>0.821141</td>\n",
       "      <td>2.135952</td>\n",
       "      <td>2.003532</td>\n",
       "      <td>1.153956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.200000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.846154</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.692308</td>\n",
       "      <td>32.540000</td>\n",
       "      <td>-124.350000</td>\n",
       "      <td>0.149990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.563400</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>4.440716</td>\n",
       "      <td>1.006079</td>\n",
       "      <td>787.000000</td>\n",
       "      <td>2.429741</td>\n",
       "      <td>33.930000</td>\n",
       "      <td>-121.800000</td>\n",
       "      <td>1.196000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.534800</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>5.229129</td>\n",
       "      <td>1.048780</td>\n",
       "      <td>1166.000000</td>\n",
       "      <td>2.818116</td>\n",
       "      <td>34.260000</td>\n",
       "      <td>-118.490000</td>\n",
       "      <td>1.797000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.743250</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>6.052381</td>\n",
       "      <td>1.099526</td>\n",
       "      <td>1725.000000</td>\n",
       "      <td>3.282261</td>\n",
       "      <td>37.710000</td>\n",
       "      <td>-118.010000</td>\n",
       "      <td>2.647250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>10.500000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>41.950000</td>\n",
       "      <td>-114.310000</td>\n",
       "      <td>5.000010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             MedInc      HouseAge      AveRooms     AveBedrms    Population  \\\n",
       "count  20640.000000  20640.000000  20640.000000  20640.000000  20640.000000   \n",
       "mean       3.852856     28.639486      5.396687      1.089361   1421.004360   \n",
       "std        1.797798     12.585558      1.779327      0.285856   1071.514855   \n",
       "min        1.200000      1.000000      0.846154      0.333333     10.000000   \n",
       "25%        2.563400     18.000000      4.440716      1.006079    787.000000   \n",
       "50%        3.534800     29.000000      5.229129      1.048780   1166.000000   \n",
       "75%        4.743250     37.000000      6.052381      1.099526   1725.000000   \n",
       "max       10.500000     52.000000     25.000000      5.000000  10000.000000   \n",
       "\n",
       "           AveOccup      Latitude     Longitude   MedHouseVal  \n",
       "count  20640.000000  20640.000000  20640.000000  20640.000000  \n",
       "mean       2.931212     35.631861   -119.569704      2.068558  \n",
       "std        0.821141      2.135952      2.003532      1.153956  \n",
       "min        0.692308     32.540000   -124.350000      0.149990  \n",
       "25%        2.429741     33.930000   -121.800000      1.196000  \n",
       "50%        2.818116     34.260000   -118.490000      1.797000  \n",
       "75%        3.282261     37.710000   -118.010000      2.647250  \n",
       "max       10.000000     41.950000   -114.310000      5.000010  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9f4c66a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Binning the MedInc feature based on observed distributions\n",
    "#from scipy.sparse import issparse\n",
    "#from sklearn.preprocessing import KBinsDiscretizer\n",
    "#\n",
    "#feature_to_bin = 'Population'\n",
    "#\n",
    "## Quantile methods available: \n",
    "## “inverted_cdf”, “averaged_inverted_cdf”,“closest_observation”, “interpolated_inverted_cdf”, “hazen”, “weibull”, “linear”, “median_unbiased”, “normal_unbiased”\n",
    "#\n",
    "#kbd = KBinsDiscretizer(encode='ordinal', n_bins=300, strategy='quantile', quantile_method='weibull')\n",
    "#KBD_MedInc = kbd.fit_transform(housing_df[[feature_to_bin]])\n",
    "#            \n",
    "#names = kbd.get_feature_names_out([feature_to_bin])\n",
    "#\n",
    "## Convert sparse matrix to dense NumPy array\n",
    "#if issparse(KBD_MedInc):\n",
    "#    KBD_MedInc = KBD_MedInc.toarray()\n",
    "#\n",
    "## Remake the KBD_MedInc into a DataFrame and join to housing_df\n",
    "#KBD_MedInc_df = pd.DataFrame(KBD_MedInc, columns=names)\n",
    "#\n",
    "#housing_df = housing_df.join(KBD_MedInc_df, rsuffix='_binned')\n",
    "#housing_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a0b470b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Binning the MedInc feature based on observed distributions\n",
    "\n",
    "#feature_to_bin = 'AveRooms'\n",
    "#\n",
    "#kbd = KBinsDiscretizer(encode='ordinal', n_bins=300, strategy='kmeans')\n",
    "#KBD_MedInc = kbd.fit_transform(housing_df[[feature_to_bin]])\n",
    "#            \n",
    "#names = kbd.get_feature_names_out([feature_to_bin])\n",
    "#\n",
    "## Convert sparse matrix to dense NumPy array\n",
    "#if issparse(KBD_MedInc):\n",
    "#    KBD_MedInc = KBD_MedInc.toarray()\n",
    "#\n",
    "## Remake the KBD_MedInc into a DataFrame and join to housing_df\n",
    "#KBD_MedInc_df = pd.DataFrame(KBD_MedInc, columns=names)\n",
    "#\n",
    "#housing_df = housing_df.join(KBD_MedInc_df, rsuffix='_binned')\n",
    "#housing_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "75a73c9d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "ac6e9d28",
   "metadata": {},
   "source": [
    "# Feature Scaling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5aabec15",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MedInc</th>\n",
       "      <th>HouseAge</th>\n",
       "      <th>AveRooms</th>\n",
       "      <th>AveBedrms</th>\n",
       "      <th>Population</th>\n",
       "      <th>AveOccup</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>MedHouseVal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.852856</td>\n",
       "      <td>28.639486</td>\n",
       "      <td>5.396687</td>\n",
       "      <td>1.089361</td>\n",
       "      <td>1421.004360</td>\n",
       "      <td>2.931212</td>\n",
       "      <td>35.631861</td>\n",
       "      <td>-119.569704</td>\n",
       "      <td>2.068558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.797798</td>\n",
       "      <td>12.585558</td>\n",
       "      <td>1.779327</td>\n",
       "      <td>0.285856</td>\n",
       "      <td>1071.514855</td>\n",
       "      <td>0.821141</td>\n",
       "      <td>2.135952</td>\n",
       "      <td>2.003532</td>\n",
       "      <td>1.153956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.200000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.846154</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.692308</td>\n",
       "      <td>32.540000</td>\n",
       "      <td>-124.350000</td>\n",
       "      <td>0.149990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.563400</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>4.440716</td>\n",
       "      <td>1.006079</td>\n",
       "      <td>787.000000</td>\n",
       "      <td>2.429741</td>\n",
       "      <td>33.930000</td>\n",
       "      <td>-121.800000</td>\n",
       "      <td>1.196000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.534800</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>5.229129</td>\n",
       "      <td>1.048780</td>\n",
       "      <td>1166.000000</td>\n",
       "      <td>2.818116</td>\n",
       "      <td>34.260000</td>\n",
       "      <td>-118.490000</td>\n",
       "      <td>1.797000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.743250</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>6.052381</td>\n",
       "      <td>1.099526</td>\n",
       "      <td>1725.000000</td>\n",
       "      <td>3.282261</td>\n",
       "      <td>37.710000</td>\n",
       "      <td>-118.010000</td>\n",
       "      <td>2.647250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>10.500000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>41.950000</td>\n",
       "      <td>-114.310000</td>\n",
       "      <td>5.000010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             MedInc      HouseAge      AveRooms     AveBedrms    Population  \\\n",
       "count  20640.000000  20640.000000  20640.000000  20640.000000  20640.000000   \n",
       "mean       3.852856     28.639486      5.396687      1.089361   1421.004360   \n",
       "std        1.797798     12.585558      1.779327      0.285856   1071.514855   \n",
       "min        1.200000      1.000000      0.846154      0.333333     10.000000   \n",
       "25%        2.563400     18.000000      4.440716      1.006079    787.000000   \n",
       "50%        3.534800     29.000000      5.229129      1.048780   1166.000000   \n",
       "75%        4.743250     37.000000      6.052381      1.099526   1725.000000   \n",
       "max       10.500000     52.000000     25.000000      5.000000  10000.000000   \n",
       "\n",
       "           AveOccup      Latitude     Longitude   MedHouseVal  \n",
       "count  20640.000000  20640.000000  20640.000000  20640.000000  \n",
       "mean       2.931212     35.631861   -119.569704      2.068558  \n",
       "std        0.821141      2.135952      2.003532      1.153956  \n",
       "min        0.692308     32.540000   -124.350000      0.149990  \n",
       "25%        2.429741     33.930000   -121.800000      1.196000  \n",
       "50%        2.818116     34.260000   -118.490000      1.797000  \n",
       "75%        3.282261     37.710000   -118.010000      2.647250  \n",
       "max       10.000000     41.950000   -114.310000      5.000010  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0351b1c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MedInc</th>\n",
       "      <th>HouseAge</th>\n",
       "      <th>AveRooms</th>\n",
       "      <th>AveBedrms</th>\n",
       "      <th>Population</th>\n",
       "      <th>AveOccup</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>MedHouseVal</th>\n",
       "      <th>log_MedInc</th>\n",
       "      <th>log_Population</th>\n",
       "      <th>log_AveRooms</th>\n",
       "      <th>log_AveBedrms</th>\n",
       "      <th>log_AveOccup</th>\n",
       "      <th>log_log_Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.852856</td>\n",
       "      <td>28.639486</td>\n",
       "      <td>5.396687</td>\n",
       "      <td>1.089361</td>\n",
       "      <td>1421.004360</td>\n",
       "      <td>2.931212</td>\n",
       "      <td>35.631861</td>\n",
       "      <td>-119.569704</td>\n",
       "      <td>2.068558</td>\n",
       "      <td>1.517154</td>\n",
       "      <td>7.025340</td>\n",
       "      <td>1.827947</td>\n",
       "      <td>0.731264</td>\n",
       "      <td>1.350089</td>\n",
       "      <td>2.077973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.797798</td>\n",
       "      <td>12.585558</td>\n",
       "      <td>1.779327</td>\n",
       "      <td>0.285856</td>\n",
       "      <td>1071.514855</td>\n",
       "      <td>0.821141</td>\n",
       "      <td>2.135952</td>\n",
       "      <td>2.003532</td>\n",
       "      <td>1.153956</td>\n",
       "      <td>0.349625</td>\n",
       "      <td>0.734189</td>\n",
       "      <td>0.225777</td>\n",
       "      <td>0.094317</td>\n",
       "      <td>0.189723</td>\n",
       "      <td>0.099243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.200000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.846154</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.692308</td>\n",
       "      <td>32.540000</td>\n",
       "      <td>-124.350000</td>\n",
       "      <td>0.149990</td>\n",
       "      <td>0.788457</td>\n",
       "      <td>2.397895</td>\n",
       "      <td>0.613104</td>\n",
       "      <td>0.287682</td>\n",
       "      <td>0.526093</td>\n",
       "      <td>1.223156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.563400</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>4.440716</td>\n",
       "      <td>1.006079</td>\n",
       "      <td>787.000000</td>\n",
       "      <td>2.429741</td>\n",
       "      <td>33.930000</td>\n",
       "      <td>-121.800000</td>\n",
       "      <td>1.196000</td>\n",
       "      <td>1.270715</td>\n",
       "      <td>6.669498</td>\n",
       "      <td>1.693911</td>\n",
       "      <td>0.696182</td>\n",
       "      <td>1.232485</td>\n",
       "      <td>2.037251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.534800</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>5.229129</td>\n",
       "      <td>1.048780</td>\n",
       "      <td>1166.000000</td>\n",
       "      <td>2.818116</td>\n",
       "      <td>34.260000</td>\n",
       "      <td>-118.490000</td>\n",
       "      <td>1.797000</td>\n",
       "      <td>1.511781</td>\n",
       "      <td>7.062192</td>\n",
       "      <td>1.829236</td>\n",
       "      <td>0.717245</td>\n",
       "      <td>1.339757</td>\n",
       "      <td>2.087185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.743250</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>6.052381</td>\n",
       "      <td>1.099526</td>\n",
       "      <td>1725.000000</td>\n",
       "      <td>3.282261</td>\n",
       "      <td>37.710000</td>\n",
       "      <td>-118.010000</td>\n",
       "      <td>2.647250</td>\n",
       "      <td>1.748025</td>\n",
       "      <td>7.453562</td>\n",
       "      <td>1.953365</td>\n",
       "      <td>0.741712</td>\n",
       "      <td>1.454481</td>\n",
       "      <td>2.134588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>10.500000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>10000.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>41.950000</td>\n",
       "      <td>-114.310000</td>\n",
       "      <td>5.000010</td>\n",
       "      <td>2.442347</td>\n",
       "      <td>9.210440</td>\n",
       "      <td>3.258097</td>\n",
       "      <td>1.791759</td>\n",
       "      <td>2.397895</td>\n",
       "      <td>2.323411</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             MedInc      HouseAge      AveRooms     AveBedrms    Population  \\\n",
       "count  20640.000000  20640.000000  20640.000000  20640.000000  20640.000000   \n",
       "mean       3.852856     28.639486      5.396687      1.089361   1421.004360   \n",
       "std        1.797798     12.585558      1.779327      0.285856   1071.514855   \n",
       "min        1.200000      1.000000      0.846154      0.333333     10.000000   \n",
       "25%        2.563400     18.000000      4.440716      1.006079    787.000000   \n",
       "50%        3.534800     29.000000      5.229129      1.048780   1166.000000   \n",
       "75%        4.743250     37.000000      6.052381      1.099526   1725.000000   \n",
       "max       10.500000     52.000000     25.000000      5.000000  10000.000000   \n",
       "\n",
       "           AveOccup      Latitude     Longitude   MedHouseVal    log_MedInc  \\\n",
       "count  20640.000000  20640.000000  20640.000000  20640.000000  20640.000000   \n",
       "mean       2.931212     35.631861   -119.569704      2.068558      1.517154   \n",
       "std        0.821141      2.135952      2.003532      1.153956      0.349625   \n",
       "min        0.692308     32.540000   -124.350000      0.149990      0.788457   \n",
       "25%        2.429741     33.930000   -121.800000      1.196000      1.270715   \n",
       "50%        2.818116     34.260000   -118.490000      1.797000      1.511781   \n",
       "75%        3.282261     37.710000   -118.010000      2.647250      1.748025   \n",
       "max       10.000000     41.950000   -114.310000      5.000010      2.442347   \n",
       "\n",
       "       log_Population  log_AveRooms  log_AveBedrms  log_AveOccup  \\\n",
       "count    20640.000000  20640.000000   20640.000000  20640.000000   \n",
       "mean         7.025340      1.827947       0.731264      1.350089   \n",
       "std          0.734189      0.225777       0.094317      0.189723   \n",
       "min          2.397895      0.613104       0.287682      0.526093   \n",
       "25%          6.669498      1.693911       0.696182      1.232485   \n",
       "50%          7.062192      1.829236       0.717245      1.339757   \n",
       "75%          7.453562      1.953365       0.741712      1.454481   \n",
       "max          9.210440      3.258097       1.791759      2.397895   \n",
       "\n",
       "       log_log_Population  \n",
       "count        20640.000000  \n",
       "mean             2.077973  \n",
       "std              0.099243  \n",
       "min              1.223156  \n",
       "25%              2.037251  \n",
       "50%              2.087185  \n",
       "75%              2.134588  \n",
       "max              2.323411  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_df['log_MedInc'] = np.log1p(housing_df['MedInc'])\n",
    "housing_df['log_Population'] = np.log1p(housing_df['Population'])\n",
    "housing_df['log_AveRooms'] = np.log1p(housing_df['AveRooms'])\n",
    "housing_df['log_AveBedrms'] = np.log1p(housing_df['AveBedrms'])\n",
    "housing_df['log_AveOccup'] = np.log1p(housing_df['AveOccup'])\n",
    "\n",
    "housing_df['log_log_Population'] = np.log1p(housing_df['log_Population'])\n",
    "\n",
    "housing_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "dbb02d71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\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>MedInc</th>\n",
       "      <th>HouseAge</th>\n",
       "      <th>AveRooms</th>\n",
       "      <th>AveBedrms</th>\n",
       "      <th>Population</th>\n",
       "      <th>AveOccup</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>MedHouseVal</th>\n",
       "      <th>log_MedInc</th>\n",
       "      <th>log_Population</th>\n",
       "      <th>log_AveRooms</th>\n",
       "      <th>log_AveBedrms</th>\n",
       "      <th>log_AveOccup</th>\n",
       "      <th>log_log_Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8.3252</td>\n",
       "      <td>41.0</td>\n",
       "      <td>6.984127</td>\n",
       "      <td>1.023810</td>\n",
       "      <td>322.0</td>\n",
       "      <td>2.555556</td>\n",
       "      <td>37.88</td>\n",
       "      <td>-122.23</td>\n",
       "      <td>4.526</td>\n",
       "      <td>2.232720</td>\n",
       "      <td>5.777652</td>\n",
       "      <td>2.077455</td>\n",
       "      <td>0.704982</td>\n",
       "      <td>1.268511</td>\n",
       "      <td>1.913631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8.3014</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6.238137</td>\n",
       "      <td>0.971880</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>2.109842</td>\n",
       "      <td>37.86</td>\n",
       "      <td>-122.22</td>\n",
       "      <td>3.585</td>\n",
       "      <td>2.230165</td>\n",
       "      <td>7.784057</td>\n",
       "      <td>1.979364</td>\n",
       "      <td>0.678988</td>\n",
       "      <td>1.134572</td>\n",
       "      <td>2.172938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.2574</td>\n",
       "      <td>52.0</td>\n",
       "      <td>8.288136</td>\n",
       "      <td>1.073446</td>\n",
       "      <td>496.0</td>\n",
       "      <td>2.802260</td>\n",
       "      <td>37.85</td>\n",
       "      <td>-122.24</td>\n",
       "      <td>3.521</td>\n",
       "      <td>2.111110</td>\n",
       "      <td>6.208590</td>\n",
       "      <td>2.228738</td>\n",
       "      <td>0.729212</td>\n",
       "      <td>1.335596</td>\n",
       "      <td>1.975273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5.6431</td>\n",
       "      <td>52.0</td>\n",
       "      <td>5.817352</td>\n",
       "      <td>1.073059</td>\n",
       "      <td>558.0</td>\n",
       "      <td>2.547945</td>\n",
       "      <td>37.85</td>\n",
       "      <td>-122.25</td>\n",
       "      <td>3.413</td>\n",
       "      <td>1.893579</td>\n",
       "      <td>6.326149</td>\n",
       "      <td>1.919471</td>\n",
       "      <td>0.729025</td>\n",
       "      <td>1.266369</td>\n",
       "      <td>1.991450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.8462</td>\n",
       "      <td>52.0</td>\n",
       "      <td>6.281853</td>\n",
       "      <td>1.081081</td>\n",
       "      <td>565.0</td>\n",
       "      <td>2.181467</td>\n",
       "      <td>37.85</td>\n",
       "      <td>-122.25</td>\n",
       "      <td>3.422</td>\n",
       "      <td>1.578195</td>\n",
       "      <td>6.338594</td>\n",
       "      <td>1.985385</td>\n",
       "      <td>0.732888</td>\n",
       "      <td>1.157342</td>\n",
       "      <td>1.993147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20635</th>\n",
       "      <td>1.5603</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.045455</td>\n",
       "      <td>1.133333</td>\n",
       "      <td>845.0</td>\n",
       "      <td>2.560606</td>\n",
       "      <td>39.48</td>\n",
       "      <td>-121.09</td>\n",
       "      <td>0.781</td>\n",
       "      <td>0.940124</td>\n",
       "      <td>6.740519</td>\n",
       "      <td>1.799307</td>\n",
       "      <td>0.757686</td>\n",
       "      <td>1.269931</td>\n",
       "      <td>2.046469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20636</th>\n",
       "      <td>2.5568</td>\n",
       "      <td>18.0</td>\n",
       "      <td>6.114035</td>\n",
       "      <td>1.315789</td>\n",
       "      <td>356.0</td>\n",
       "      <td>3.122807</td>\n",
       "      <td>39.49</td>\n",
       "      <td>-121.21</td>\n",
       "      <td>0.771</td>\n",
       "      <td>1.268861</td>\n",
       "      <td>5.877736</td>\n",
       "      <td>1.962070</td>\n",
       "      <td>0.839751</td>\n",
       "      <td>1.416534</td>\n",
       "      <td>1.928289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20637</th>\n",
       "      <td>1.7000</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5.205543</td>\n",
       "      <td>1.120092</td>\n",
       "      <td>1007.0</td>\n",
       "      <td>2.325635</td>\n",
       "      <td>39.43</td>\n",
       "      <td>-121.22</td>\n",
       "      <td>0.923</td>\n",
       "      <td>0.993252</td>\n",
       "      <td>6.915723</td>\n",
       "      <td>1.825443</td>\n",
       "      <td>0.751460</td>\n",
       "      <td>1.201661</td>\n",
       "      <td>2.068851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20638</th>\n",
       "      <td>1.8672</td>\n",
       "      <td>18.0</td>\n",
       "      <td>5.329513</td>\n",
       "      <td>1.171920</td>\n",
       "      <td>741.0</td>\n",
       "      <td>2.123209</td>\n",
       "      <td>39.43</td>\n",
       "      <td>-121.32</td>\n",
       "      <td>0.847</td>\n",
       "      <td>1.053336</td>\n",
       "      <td>6.609349</td>\n",
       "      <td>1.845223</td>\n",
       "      <td>0.775611</td>\n",
       "      <td>1.138861</td>\n",
       "      <td>2.029378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20639</th>\n",
       "      <td>2.3886</td>\n",
       "      <td>16.0</td>\n",
       "      <td>5.254717</td>\n",
       "      <td>1.162264</td>\n",
       "      <td>1387.0</td>\n",
       "      <td>2.616981</td>\n",
       "      <td>39.37</td>\n",
       "      <td>-121.24</td>\n",
       "      <td>0.894</td>\n",
       "      <td>1.220417</td>\n",
       "      <td>7.235619</td>\n",
       "      <td>1.833336</td>\n",
       "      <td>0.771156</td>\n",
       "      <td>1.285640</td>\n",
       "      <td>2.108469</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20640 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  Latitude  \\\n",
       "0      8.3252      41.0  6.984127   1.023810       322.0  2.555556     37.88   \n",
       "1      8.3014      21.0  6.238137   0.971880      2401.0  2.109842     37.86   \n",
       "2      7.2574      52.0  8.288136   1.073446       496.0  2.802260     37.85   \n",
       "3      5.6431      52.0  5.817352   1.073059       558.0  2.547945     37.85   \n",
       "4      3.8462      52.0  6.281853   1.081081       565.0  2.181467     37.85   \n",
       "...       ...       ...       ...        ...         ...       ...       ...   \n",
       "20635  1.5603      25.0  5.045455   1.133333       845.0  2.560606     39.48   \n",
       "20636  2.5568      18.0  6.114035   1.315789       356.0  3.122807     39.49   \n",
       "20637  1.7000      17.0  5.205543   1.120092      1007.0  2.325635     39.43   \n",
       "20638  1.8672      18.0  5.329513   1.171920       741.0  2.123209     39.43   \n",
       "20639  2.3886      16.0  5.254717   1.162264      1387.0  2.616981     39.37   \n",
       "\n",
       "       Longitude  MedHouseVal  log_MedInc  log_Population  log_AveRooms  \\\n",
       "0        -122.23        4.526    2.232720        5.777652      2.077455   \n",
       "1        -122.22        3.585    2.230165        7.784057      1.979364   \n",
       "2        -122.24        3.521    2.111110        6.208590      2.228738   \n",
       "3        -122.25        3.413    1.893579        6.326149      1.919471   \n",
       "4        -122.25        3.422    1.578195        6.338594      1.985385   \n",
       "...          ...          ...         ...             ...           ...   \n",
       "20635    -121.09        0.781    0.940124        6.740519      1.799307   \n",
       "20636    -121.21        0.771    1.268861        5.877736      1.962070   \n",
       "20637    -121.22        0.923    0.993252        6.915723      1.825443   \n",
       "20638    -121.32        0.847    1.053336        6.609349      1.845223   \n",
       "20639    -121.24        0.894    1.220417        7.235619      1.833336   \n",
       "\n",
       "       log_AveBedrms  log_AveOccup  log_log_Population  \n",
       "0           0.704982      1.268511            1.913631  \n",
       "1           0.678988      1.134572            2.172938  \n",
       "2           0.729212      1.335596            1.975273  \n",
       "3           0.729025      1.266369            1.991450  \n",
       "4           0.732888      1.157342            1.993147  \n",
       "...              ...           ...                 ...  \n",
       "20635       0.757686      1.269931            2.046469  \n",
       "20636       0.839751      1.416534            1.928289  \n",
       "20637       0.751460      1.201661            2.068851  \n",
       "20638       0.775611      1.138861            2.029378  \n",
       "20639       0.771156      1.285640            2.108469  \n",
       "\n",
       "[20640 rows x 15 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14e8747a",
   "metadata": {},
   "source": [
    "### PloynomialFeatures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1facb8ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1</th>\n",
       "      <th>MedInc</th>\n",
       "      <th>HouseAge</th>\n",
       "      <th>AveRooms</th>\n",
       "      <th>AveBedrms</th>\n",
       "      <th>Population</th>\n",
       "      <th>AveOccup</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>log_MedInc</th>\n",
       "      <th>...</th>\n",
       "      <th>log_AveBedrms^2 log_AveOccup</th>\n",
       "      <th>log_AveBedrms^2 log_log_Population</th>\n",
       "      <th>log_AveBedrms log_AveOccup^2</th>\n",
       "      <th>log_AveBedrms log_AveOccup log_log_Population</th>\n",
       "      <th>log_AveBedrms log_log_Population^2</th>\n",
       "      <th>log_AveOccup^3</th>\n",
       "      <th>log_AveOccup^2 log_log_Population</th>\n",
       "      <th>log_AveOccup log_log_Population^2</th>\n",
       "      <th>log_log_Population^3</th>\n",
       "      <th>MedHouseVal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>41.0</td>\n",
       "      <td>6.984127</td>\n",
       "      <td>1.023810</td>\n",
       "      <td>322.0</td>\n",
       "      <td>2.555556</td>\n",
       "      <td>37.88</td>\n",
       "      <td>-122.23</td>\n",
       "      <td>2.232720</td>\n",
       "      <td>...</td>\n",
       "      <td>0.630449</td>\n",
       "      <td>0.951073</td>\n",
       "      <td>1.134401</td>\n",
       "      <td>1.711316</td>\n",
       "      <td>2.581631</td>\n",
       "      <td>2.041188</td>\n",
       "      <td>3.079263</td>\n",
       "      <td>4.645267</td>\n",
       "      <td>7.007683</td>\n",
       "      <td>4.526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>21.0</td>\n",
       "      <td>6.238137</td>\n",
       "      <td>0.971880</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>2.109842</td>\n",
       "      <td>37.86</td>\n",
       "      <td>-122.22</td>\n",
       "      <td>2.230165</td>\n",
       "      <td>...</td>\n",
       "      <td>0.523065</td>\n",
       "      <td>1.001777</td>\n",
       "      <td>0.874029</td>\n",
       "      <td>1.673945</td>\n",
       "      <td>3.205950</td>\n",
       "      <td>1.460481</td>\n",
       "      <td>2.797122</td>\n",
       "      <td>5.357064</td>\n",
       "      <td>10.259879</td>\n",
       "      <td>3.585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>52.0</td>\n",
       "      <td>8.288136</td>\n",
       "      <td>1.073446</td>\n",
       "      <td>496.0</td>\n",
       "      <td>2.802260</td>\n",
       "      <td>37.85</td>\n",
       "      <td>-122.24</td>\n",
       "      <td>2.111110</td>\n",
       "      <td>...</td>\n",
       "      <td>0.710203</td>\n",
       "      <td>1.050352</td>\n",
       "      <td>1.300780</td>\n",
       "      <td>1.923783</td>\n",
       "      <td>2.845170</td>\n",
       "      <td>2.382456</td>\n",
       "      <td>3.523523</td>\n",
       "      <td>5.211100</td>\n",
       "      <td>7.706934</td>\n",
       "      <td>3.521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>52.0</td>\n",
       "      <td>5.817352</td>\n",
       "      <td>1.073059</td>\n",
       "      <td>558.0</td>\n",
       "      <td>2.547945</td>\n",
       "      <td>37.85</td>\n",
       "      <td>-122.25</td>\n",
       "      <td>1.893579</td>\n",
       "      <td>...</td>\n",
       "      <td>0.673047</td>\n",
       "      <td>1.058412</td>\n",
       "      <td>1.169130</td>\n",
       "      <td>1.838537</td>\n",
       "      <td>2.891223</td>\n",
       "      <td>2.030862</td>\n",
       "      <td>3.193668</td>\n",
       "      <td>5.022258</td>\n",
       "      <td>7.897839</td>\n",
       "      <td>3.413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>52.0</td>\n",
       "      <td>6.281853</td>\n",
       "      <td>1.081081</td>\n",
       "      <td>565.0</td>\n",
       "      <td>2.181467</td>\n",
       "      <td>37.85</td>\n",
       "      <td>-122.25</td>\n",
       "      <td>1.578195</td>\n",
       "      <td>...</td>\n",
       "      <td>0.621637</td>\n",
       "      <td>1.070567</td>\n",
       "      <td>0.981660</td>\n",
       "      <td>1.690591</td>\n",
       "      <td>2.911495</td>\n",
       "      <td>1.550193</td>\n",
       "      <td>2.669704</td>\n",
       "      <td>4.597700</td>\n",
       "      <td>7.918049</td>\n",
       "      <td>3.422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20635</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.5603</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.045455</td>\n",
       "      <td>1.133333</td>\n",
       "      <td>845.0</td>\n",
       "      <td>2.560606</td>\n",
       "      <td>39.48</td>\n",
       "      <td>-121.09</td>\n",
       "      <td>0.940124</td>\n",
       "      <td>...</td>\n",
       "      <td>0.729052</td>\n",
       "      <td>1.174852</td>\n",
       "      <td>1.221938</td>\n",
       "      <td>1.969129</td>\n",
       "      <td>3.173214</td>\n",
       "      <td>2.048048</td>\n",
       "      <td>3.300390</td>\n",
       "      <td>5.318514</td>\n",
       "      <td>8.570682</td>\n",
       "      <td>0.781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20636</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.5568</td>\n",
       "      <td>18.0</td>\n",
       "      <td>6.114035</td>\n",
       "      <td>1.315789</td>\n",
       "      <td>356.0</td>\n",
       "      <td>3.122807</td>\n",
       "      <td>39.49</td>\n",
       "      <td>-121.21</td>\n",
       "      <td>1.268861</td>\n",
       "      <td>...</td>\n",
       "      <td>0.998913</td>\n",
       "      <td>1.359793</td>\n",
       "      <td>1.685018</td>\n",
       "      <td>2.293769</td>\n",
       "      <td>3.122445</td>\n",
       "      <td>2.842374</td>\n",
       "      <td>3.869246</td>\n",
       "      <td>5.267100</td>\n",
       "      <td>7.169960</td>\n",
       "      <td>0.771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20637</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.7000</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5.205543</td>\n",
       "      <td>1.120092</td>\n",
       "      <td>1007.0</td>\n",
       "      <td>2.325635</td>\n",
       "      <td>39.43</td>\n",
       "      <td>-121.22</td>\n",
       "      <td>0.993252</td>\n",
       "      <td>...</td>\n",
       "      <td>0.678568</td>\n",
       "      <td>1.168263</td>\n",
       "      <td>1.085099</td>\n",
       "      <td>1.868172</td>\n",
       "      <td>3.216356</td>\n",
       "      <td>1.735184</td>\n",
       "      <td>2.987397</td>\n",
       "      <td>5.143282</td>\n",
       "      <td>8.854982</td>\n",
       "      <td>0.923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20638</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.8672</td>\n",
       "      <td>18.0</td>\n",
       "      <td>5.329513</td>\n",
       "      <td>1.171920</td>\n",
       "      <td>741.0</td>\n",
       "      <td>2.123209</td>\n",
       "      <td>39.43</td>\n",
       "      <td>-121.32</td>\n",
       "      <td>1.053336</td>\n",
       "      <td>...</td>\n",
       "      <td>0.685108</td>\n",
       "      <td>1.220819</td>\n",
       "      <td>1.005972</td>\n",
       "      <td>1.792577</td>\n",
       "      <td>3.194258</td>\n",
       "      <td>1.477108</td>\n",
       "      <td>2.632112</td>\n",
       "      <td>4.690255</td>\n",
       "      <td>8.357735</td>\n",
       "      <td>0.847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20639</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.3886</td>\n",
       "      <td>16.0</td>\n",
       "      <td>5.254717</td>\n",
       "      <td>1.162264</td>\n",
       "      <td>1387.0</td>\n",
       "      <td>2.616981</td>\n",
       "      <td>39.37</td>\n",
       "      <td>-121.24</td>\n",
       "      <td>1.220417</td>\n",
       "      <td>...</td>\n",
       "      <td>0.764546</td>\n",
       "      <td>1.253867</td>\n",
       "      <td>1.274620</td>\n",
       "      <td>2.090396</td>\n",
       "      <td>3.428281</td>\n",
       "      <td>2.124995</td>\n",
       "      <td>3.485023</td>\n",
       "      <td>5.715491</td>\n",
       "      <td>9.373491</td>\n",
       "      <td>0.894</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20640 rows × 681 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         1  MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  \\\n",
       "0      1.0  8.3252      41.0  6.984127   1.023810       322.0  2.555556   \n",
       "1      1.0  8.3014      21.0  6.238137   0.971880      2401.0  2.109842   \n",
       "2      1.0  7.2574      52.0  8.288136   1.073446       496.0  2.802260   \n",
       "3      1.0  5.6431      52.0  5.817352   1.073059       558.0  2.547945   \n",
       "4      1.0  3.8462      52.0  6.281853   1.081081       565.0  2.181467   \n",
       "...    ...     ...       ...       ...        ...         ...       ...   \n",
       "20635  1.0  1.5603      25.0  5.045455   1.133333       845.0  2.560606   \n",
       "20636  1.0  2.5568      18.0  6.114035   1.315789       356.0  3.122807   \n",
       "20637  1.0  1.7000      17.0  5.205543   1.120092      1007.0  2.325635   \n",
       "20638  1.0  1.8672      18.0  5.329513   1.171920       741.0  2.123209   \n",
       "20639  1.0  2.3886      16.0  5.254717   1.162264      1387.0  2.616981   \n",
       "\n",
       "       Latitude  Longitude  log_MedInc  ...  log_AveBedrms^2 log_AveOccup  \\\n",
       "0         37.88    -122.23    2.232720  ...                      0.630449   \n",
       "1         37.86    -122.22    2.230165  ...                      0.523065   \n",
       "2         37.85    -122.24    2.111110  ...                      0.710203   \n",
       "3         37.85    -122.25    1.893579  ...                      0.673047   \n",
       "4         37.85    -122.25    1.578195  ...                      0.621637   \n",
       "...         ...        ...         ...  ...                           ...   \n",
       "20635     39.48    -121.09    0.940124  ...                      0.729052   \n",
       "20636     39.49    -121.21    1.268861  ...                      0.998913   \n",
       "20637     39.43    -121.22    0.993252  ...                      0.678568   \n",
       "20638     39.43    -121.32    1.053336  ...                      0.685108   \n",
       "20639     39.37    -121.24    1.220417  ...                      0.764546   \n",
       "\n",
       "       log_AveBedrms^2 log_log_Population  log_AveBedrms log_AveOccup^2  \\\n",
       "0                                0.951073                      1.134401   \n",
       "1                                1.001777                      0.874029   \n",
       "2                                1.050352                      1.300780   \n",
       "3                                1.058412                      1.169130   \n",
       "4                                1.070567                      0.981660   \n",
       "...                                   ...                           ...   \n",
       "20635                            1.174852                      1.221938   \n",
       "20636                            1.359793                      1.685018   \n",
       "20637                            1.168263                      1.085099   \n",
       "20638                            1.220819                      1.005972   \n",
       "20639                            1.253867                      1.274620   \n",
       "\n",
       "       log_AveBedrms log_AveOccup log_log_Population  \\\n",
       "0                                           1.711316   \n",
       "1                                           1.673945   \n",
       "2                                           1.923783   \n",
       "3                                           1.838537   \n",
       "4                                           1.690591   \n",
       "...                                              ...   \n",
       "20635                                       1.969129   \n",
       "20636                                       2.293769   \n",
       "20637                                       1.868172   \n",
       "20638                                       1.792577   \n",
       "20639                                       2.090396   \n",
       "\n",
       "       log_AveBedrms log_log_Population^2  log_AveOccup^3  \\\n",
       "0                                2.581631        2.041188   \n",
       "1                                3.205950        1.460481   \n",
       "2                                2.845170        2.382456   \n",
       "3                                2.891223        2.030862   \n",
       "4                                2.911495        1.550193   \n",
       "...                                   ...             ...   \n",
       "20635                            3.173214        2.048048   \n",
       "20636                            3.122445        2.842374   \n",
       "20637                            3.216356        1.735184   \n",
       "20638                            3.194258        1.477108   \n",
       "20639                            3.428281        2.124995   \n",
       "\n",
       "       log_AveOccup^2 log_log_Population  log_AveOccup log_log_Population^2  \\\n",
       "0                               3.079263                           4.645267   \n",
       "1                               2.797122                           5.357064   \n",
       "2                               3.523523                           5.211100   \n",
       "3                               3.193668                           5.022258   \n",
       "4                               2.669704                           4.597700   \n",
       "...                                  ...                                ...   \n",
       "20635                           3.300390                           5.318514   \n",
       "20636                           3.869246                           5.267100   \n",
       "20637                           2.987397                           5.143282   \n",
       "20638                           2.632112                           4.690255   \n",
       "20639                           3.485023                           5.715491   \n",
       "\n",
       "       log_log_Population^3  MedHouseVal  \n",
       "0                  7.007683        4.526  \n",
       "1                 10.259879        3.585  \n",
       "2                  7.706934        3.521  \n",
       "3                  7.897839        3.413  \n",
       "4                  7.918049        3.422  \n",
       "...                     ...          ...  \n",
       "20635              8.570682        0.781  \n",
       "20636              7.169960        0.771  \n",
       "20637              8.854982        0.923  \n",
       "20638              8.357735        0.847  \n",
       "20639              9.373491        0.894  \n",
       "\n",
       "[20640 rows x 681 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_poly = PolynomialFeatures(degree=3)  #3\n",
    "new_x = x_poly.fit_transform(housing_df.drop(columns=['MedHouseVal']))\n",
    "new_feature_names = x_poly.get_feature_names_out()\n",
    "\n",
    "new_housing_df = pd.DataFrame(new_x, columns=new_feature_names)\n",
    "new_housing_df['MedHouseVal'] = housing_df['MedHouseVal']\n",
    "housing_df = new_housing_df.copy(deep=True)\n",
    "housing_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "95e9ae46",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "b919e778",
   "metadata": {},
   "source": [
    "### Geohashing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5140a3a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create city_geohash feature from latitude and longitude\n",
    "housing_df['geohash'] = housing_df.apply(\n",
    "    lambda row: pgh.encode(row['Latitude'], row['Longitude'], precision=3), #3\n",
    "    axis=1\n",
    ")\n",
    " #Create region_geohash feature from latitude and longitude\n",
    "housing_df['region'] = housing_df.apply(\n",
    "    lambda row: pgh.encode(row['Latitude'], row['Longitude'], precision=2), #2\n",
    "    axis=1\n",
    ")\n",
    "\n",
    "# Convert geohash to categorical codes for model training\n",
    "housing_df['geohash_code'] = pd.Categorical(housing_df['geohash']).codes\n",
    "housing_df['region_code'] = pd.Categorical(housing_df['region']).codes\n",
    "\n",
    "# Drop the string geohash column, keep only the numeric code\n",
    "housing_df = housing_df.drop('geohash', axis=1)\n",
    "housing_df = housing_df.drop('region', axis=1)\n",
    "\n",
    "housing_df = pd.get_dummies(data = housing_df, columns=['region_code'], drop_first=True) \n",
    "housing_df = pd.get_dummies(data = housing_df, columns=['geohash_code'], drop_first=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8dfcca0f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "04d87f63",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abd80436",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "1110a0a2",
   "metadata": {},
   "source": [
    "## Task 3: Apply your second feature engineering technique\n",
    "\n",
    "**Example approaches**:\n",
    "- Scale features to similar ranges\n",
    "- Encode any categorical variables you created\n",
    "- Create aggregate statistics by groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "04645938",
   "metadata": {},
   "outputs": [],
   "source": [
    "# YOUR CODE HERE\n",
    "\n",
    "Robust_scaler = RobustScaler()\n",
    "scaled_housing_df = pd.DataFrame(\n",
    "    Robust_scaler.fit_transform(housing_df.drop(columns=['MedHouseVal'])),\n",
    "    columns=housing_df.drop(columns=['MedHouseVal']).columns\n",
    ")\n",
    "scaled_housing_df['MedHouseVal'] = housing_df['MedHouseVal']\n",
    "housing_df = scaled_housing_df.copy(deep=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "7b49bb6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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VEY6OjqhSpQo2b94M4HNvbNu2bbOcG+Pw4cOIj49Ht27dZK6tysrKqFOnjnhtff78OaKiotC7d2/o6+uL6zdr1gwODg5ZxtG2bdssr4OjR4+WqSdt28fHR2b4e5UqVdCsWTPs27cvT/sP/O9e+p07d2Z7zc7L/yvfyrlLRD8eDi8nIhlOTk4KTaQ2evRobNmyBefPn8fMmTOz/YMsO5aWlnJDcO/cuYObN2/CxMQky3ViY2Nl3mdOmACIfySWKlUqy/K4uDhxOwCyHcoNfE5WDA0Nc9yHcuXKoWnTpnLlp06dynE9AHj48CHMzc3l/kDObpZ4DQ0NueNiaGgo7lNhe/XqFZKTk1GhQgW5ZRUrVkRGRgYeP34MR0dHMZE+efIkrKyscOXKFUyfPh0mJibiY9VOnjwJPT09mUmf8mLPnj2YPn06oqKiZO7DzGqm8C/PC0D2WL169QofPnxAuXLl5OpVqFBBoT/+b968iStXrqBXr164e/euWO7m5oZly5YhMTERenp6Cu1bQUiH8Gb+ken06dOYPHkyzp49K3erQ0JCgkwylZWMjAwsXrwYy5cvx/3792XuU5UOz8+JsbEx3N3dsWPHDqxYsQIaGhrYtGkTVFRU0LlzZ7He9evXMXHiRBw7dkwuCVXkx4Hc3L17F4Ig4Pfff8fvv/+eZZ3Y2FhYWlpi6tSpaNu2LcqXL49KlSqhRYsW6NmzJ6pUqZLn7ebluyOV1RMjFNG9e3fMnz8fw4cPx5kzZ+TuZZaSXvOkieaXpOfqw4cPASDb70ZWP7pYWVlleR188uSJzHtp29kdl4MHDyo0iVxmXbp0werVq+Hn54dx48ahSZMmaN++PTp27Cj+cJSX/1e+lXOXiH48TLqJKF/u3bsn/iEnnbwsLzL3FEhlZGSgcuXKWLBgQZbrfJlMZ9czlF258P+Tekl7RObOnZvt48y+xjNu8yKvvWBfk4WFBWxsbHDixAlYW1tDEATUq1cPJiYm+PXXX/Hw4UOcPHkSzs7O4h/CeXHy5Em0adMGDRs2xPLly2Fubg5VVVUEBwdnOelRbp9/YdiwYQMAYPjw4Rg+fLjc8rCwMLmRHEXh33//BfC/H2tiYmLQpEkT2NvbY8GCBShVqhTU1NSwb98+LFy4UKERHDNnzsTvv/+OPn36YNq0aTAyMoKSkhKGDRum8GPvevTogT179mDPnj1o06YNwsLCxHvogc8T8Lm6ukJPTw9Tp06Fra0tNDQ0cPnyZYwdOzbH7WT3SLYvJ7GStjFq1KhsRzBIj1vDhg0RExODnTt34tChQ1i9ejUWLlyIFStWwM/PT6F9LoisroeK6NatG8aPH49+/frB2NgYzZs3z7Ke9FisX78+y8kM8zJK6WtQ9DPW1NTEiRMncPz4cezduxcHDhzA1q1b0bhxYxw6dAjKysp5/n+lKM9dIvp5fVtXWSL6LmRkZMDHxwd6enoYNmwYZs6ciY4dO6J9+/Zinfw8q9jW1hbR0dFo0qRJoT/r+MvtAJ97d7LqofkaypQpg+PHj8s9Ki1zr2lxMjExgZaWljhkPLP//vsPSkpKMn+suri44MSJE7CxsUG1atWgq6uLqlWrQl9fHwcOHMDly5cREBCQr1jCwsKgoaGBgwcPQl1dXSwPDg7OV3smJibQ1NTMcihxVvv7JUEQsGnTJjRq1Aj+/v5yy6dNm4aNGzcWedKdnp6OTZs2QUtLCw0aNAAA7N69G6mpqdi1a5dMj/+Xt2YA2X9HQ0ND0ahRIwQFBcmUx8fHo0SJEgrF1qZNG+jq6mLTpk1QVVVFXFyczPDciIgIvHnzBtu3b0fDhg3F8vv37+fatnQESnx8vEy5tCdVSjq0W1VVVaHvuZGREXx9feHr64ukpCQ0bNgQU6ZMyXPSndfvTkGULl0a9evXR0REBAYNGpRt8iy95pmamuZ4LKSzsef3u5ETadvZHZcSJUqIvdyGhoZyny8g/xkDn2/LadKkCZo0aYIFCxZg5syZmDBhAo4fPy7eapKX/1eK8twlop8X7+kmojxbsGABzpw5g1WrVmHatGlwdnbGoEGDZGawlf7xlNUfTtnp3Lkznj59ir/++ktu2YcPHxSe1Tc3NWvWhK2tLebNm5flDLvSZ+8WJXd3d3z8+FFmXzMyMrBs2bIi37YilJWV0bx5c+zcuVPmcWsvX77Epk2b0KBBA5nh0y4uLnjw4AG2bt0qDjdXUlKCs7MzFixYgI8fP+b7fm5lZWVIJBKZXq4HDx7IzWafl/bc3d0RHh6OR48eieU3b97EwYMHc13/9OnTePDgAXx9fdGxY0e5V5cuXXD8+HE8e/YsX/EpIj09HUOHDsXNmzcxdOhQ8bOQ9vJn7tVPSEjI8gcKbW3tLL+fysrKcqMC/v77b/H+Z0VoamqiXbt22LdvHwIDA6GtrY22bdvKbOPLONPS0rB8+fJc2y5TpgyUlZVx4sQJmfIv1zU1NYWbmxtWrlyJ58+fy7WT+Xv+5s0bmWU6Ojqws7OTe1ShIvL63Smo6dOnY/LkyRgyZEi2ddzd3aGnp4eZM2fi48ePcsulx8Lc3BzVqlXD2rVrZYZJHz58GDdu3ChQnJnbznze/fvvvzh06BBatWolltna2iIhIQFXr14Vy54/fy736LK3b9/KbUc6ekn62eX1/5WiPHeJ6OfFnm4ikrF///4sJ4JxdnZG2bJlcfPmTfz+++/w8fGBp6cngM+PT6lWrRr8/f2xbds2AJ//aDIwMMCKFSugq6sLbW1t1KlTJ8d7F3v27Ilt27Zh4MCBOH78OOrXr4/09HT8999/2LZtGw4ePKjQ/ea5UVJSwurVq9GyZUs4OjrC19cXlpaWePr0KY4fPw49PT3s3r27wNvJiZeXF5ycnDBy5EjcvXsX9vb22LVrl/hHZH57+n18fLB27Vrcv39focfvrFmzJsvHC/3666+YPn26+Axcf39/qKioYOXKlUhNTcUff/whU1+aUN+6dQszZ84Uyxs2bIj9+/dDXV1dfHa7VEREBBo1aoTJkydjypQp2cbo4eGBBQsWoEWLFujevTtiY2OxbNky2NnZyfxRnhcBAQE4cOAAXFxc4O/vj0+fPmHJkiVwdHTMtc2NGzdCWVlZ7lFlUm3atMGECROwZcsWjBgxIl/xZZaQkCAOZ09OTsbdu3exfft2xMTEoGvXrpg2bZpYt3nz5lBTU4OnpycGDBiApKQk/PXXXzA1NZVLPGvWrInAwEBMnz4ddnZ2MDU1RePGjdG6dWtMnToVvr6+cHZ2xrVr17Bx40aZScEU0aNHD6xbtw4HDx6Et7e3zL26zs7OMDQ0RO/evTF06FBIJBKsX79eoVsA9PX10alTJyxZsgQSiQS2trbYs2eP3JwPwOeJIRs0aIDKlSujX79+KFu2LF6+fImzZ8/iyZMn4rPHHRwc4Obmhpo1a8LIyAgXL15EaGgoBg8enKd9lsrLd6egXF1d4erqmmMdPT09BAYGomfPnqhRowa6du0KExMTPHr0CHv37kX9+vWxdOlSAJ8fvejh4YEGDRqgT58+ePv2rfjdyOpHyryYO3cuWrZsiXr16qFv377iI8P09fVlrgFdu3bF2LFj0a5dOwwdOlR8vFn58uVl7iufOnUqTpw4AQ8PD5QpUwaxsbFYvnw5rKysxNEf+fl/pajOXSL6iRXPpOlE9K3J6ZFh+P/H8Hz69EmoXbu2YGVlJfM4GUEQhMWLFwsAhK1bt4plO3fuFBwcHAQVFRWZR/nk9BiktLQ0Yc6cOYKjo6Ogrq4uGBoaCjVr1hQCAgKEhIQEsR4A4ZdffpFZN7vH90gfMfT333/LlF+5ckVo3769YGxsLKirqwtlypQROnfuLBw9ejTHY5XddqSkj7XJ6ZFhgiAIr169Erp37y7o6uoK+vr6go+Pj3D69GkBgLBlyxaZdTM//ufL7WTWoUMHQVNTU4iLi8txH3L7vB8/fiwIgiBcvnxZcHd3F3R0dAQtLS2hUaNGwpkzZ7Js09TUVAAgvHz5Uiw7deqUAEBwcXGRq7979+4sHx2XlaCgIKFcuXKCurq6YG9vLwQHB2e5/1mdF4IgCGXKlBF69+4tUxYZGSnUrFlTUFNTE8qWLSusWLEiyzYzS0tLE4yNjbPcn8xsbGyE6tWrC4JQ8EeGZf5cdHR0hHLlygk9evQQDh06lOU6u3btEqpUqSJoaGgI1tbWwpw5c4Q1a9bIPDZPED4/LsrDw0PQ1dUVAIiPD0tJSRFGjhwpmJubC5qamkL9+vWFs2fPCq6urlk+Yiw7nz59EszNzQUAwr59++SWnz59Wqhbt66gqakpWFhYCGPGjBEOHjyo0LF69eqV0KFDB0FLS0swNDQUBgwYID5C68vHFMbExAi9evUSzMzMBFVVVcHS0lJo3bq1EBoaKtaZPn264OTkJBgYGAiampqCvb29MGPGDCEtLS3HfczpWqDId0eRR/cpur3MsrtmHD9+XHB3dxf09fUFDQ0NwdbWVvDx8REuXrwoUy8sLEyoWLGioK6uLjg4OAjbt2/P8nPI7vuW074dOXJEqF+/vqCpqSno6ekJnp6ewo0bN+TWP3TokFCpUiVBTU1NqFChgrBhwwa57+fRo0eFtm3bChYWFoKamppgYWEhdOvWTbh9+7ZMW4r+vyJVlOcuEf2cJILAn+aIiL4V4eHhaNeuHU6dOoX69evnef2SJUuiV69emDt3bhFEV7jGjBmDzZs34+7duzL3ahMRERH9SHhPNxFRMfnw4YPM+/T0dCxZsgR6enqoUaNGntu7fv06Pnz4gLFjxxZWiEXq+PHj+P3335lwExER0Q+NPd1ERMXEz88PHz58QL169ZCamort27fjzJkzmDlzJsaPH1/c4RERERFRIWDSTURUTDZt2oT58+fj7t27SElJgZ2dHQYNGpTvyZuIiIiI6NvDpJuIiIiIiIioiPCebiIiIiIiIqIiwqSbiIiIiIiIqIgw6SYiIiIiIiIqIky6iYiIiIiIiIoIk26i75hEIsGUKVOKO4wcRUREQCKRICIiorhD+eFNmTIFEomkuMP4KubOnYuyZctCWVkZ1apVK+5w5Dx48AASiQQhISHFHQoVkS+vvyEhIZBIJHjw4EGxxfQ1fA//7xTE93oddXNzg5ubm/j+a12DvtfjRfS1Mekm+oZI/2jL/DI1NUWjRo2wf//+4g7vq4iJicGAAQNQtmxZaGhoQE9PD/Xr18fixYvx4cOH4g4PALB8+fLvOpny8fGROcf09PRQtWpVzJ8/H6mpqWI96R9T0peWlhZKly4NT09PBAcHy9TNru3MrwMHDhRK/IcOHcKYMWNQv359BAcHY+bMmbnuq56eXpbnz507d8T45s2bVyjxZUd6PF+/fl2k2ykKbm5uMp+lkZERateujTVr1iAjI6PQt3fmzBlMmTIF8fHxhd42FT1pwid9KSsro3Tp0mjXrh2ioqKKZJvfwnX5W4iBiL5NKsUdABHJmzp1KmxsbCAIAl6+fImQkBC0atUKu3fvRuvWrcV6Hz58gIrKj/M13rt3Lzp16gR1dXX06tULlSpVQlpaGk6dOoXRo0fj+vXrWLVqVXGHieXLl6NEiRLw8fEp7lDyTV1dHatXrwYAxMfHIywsDKNGjcKFCxewZcsWmbqBgYHQ0dFBamoqnj59ioMHD6JPnz5YtGgR9uzZg1KlSmXbdmZVq1YtlNiPHTsGJSUlBAUFQU1NLdf6KioqSE5Oxu7du9G5c2eZZRs3boSGhgZSUlIKJbYfmZWVFWbNmgUAePXqFdatW4e+ffvi9u3bmD17dqFu68yZMwgICICPjw8MDAwKte2i0rNnT3Tt2hXq6urFHco3o1u3bmjVqhXS09Nx8+ZNBAYGYv/+/fjnn38KfYTKt3Bd/hZikCpTpgw+fPgAVVXVIt3OxIkTMW7cuCLdBtGP4Mf5a53oB9KyZUvUqlVLfN+3b1+ULFkSmzdvlkm6NTQ0iiO8InH//n107doVZcqUwbFjx2Bubi4u++WXX3D37l3s3bu3GCP8saioqKBHjx7ie39/f9SpUwdbt27FggULYGFhIS7r2LEjSpQoIb6fNGkSNm7ciF69eqFTp074559/cmy7sMXGxkJTU1OhhBv4/CNA/fr1sXnzZrmke9OmTfDw8EBYWFhRhPpD0dfXl/lcBwwYgAoVKmDp0qWYNm1akf9x/61TVlaGsrJycYfxTalRo4bMOVO/fn20adMGgYGBWLlyZTFG9uOTSCRf5W8EFRWVH+rHf6KiwuHlRN8BAwMDaGpqyv3H9uW9ddLhq3fv3hV7iPT19eHr64vk5GS5dQcPHozw8HBUqlQJ6urqcHR0zHII8NOnT9GnTx+ULFlSrLdmzRq5ek+ePIGXlxe0tbVhamqK4cOHZzkEOSt//PEHkpKSEBQUJJNwS9nZ2eHXX38V33/69AnTpk2Dra0t1NXVYW1tjd9++01ue9ndf2htbS3TGyEd2n/69GmMGDECJiYm0NbWRrt27fDq1SuZ9a5fv47IyEhx6GTm++iyMm/ePDg7O8PY2BiampqoWbMmQkND5erl5TM5deoUateuDQ0NDdja2hb4D1glJSVxPxS5J9Xb2xt+fn44d+4cDh8+XKBtSynymUokEgQHB+P9+/fi8VdkOGf37t2xf/9+meHKFy5cwJ07d9C9e/cs14mPj8ewYcNQqlQpqKurw87ODnPmzJEbTh0fHw8fHx/o6+vDwMAAvXv3VnhYtJubGypVqoQbN26gUaNG0NLSgqWlJf744w+5uikpKZgyZQrKly8PDQ0NmJubo3379oiJiVFoW4VNS0sLdevWxfv378XvyL1799CpUycYGRmJy7P6sWzJkiVwdHSElpYWDA0NUatWLWzatAnA5+vY6NGjAQA2Njbi55zbebllyxbUrFkTurq60NPTQ+XKlbF48WKZOvHx8Rg+fDisra2hrq4OKysr9OrVSxzyn5aWhkmTJqFmzZrQ19eHtrY2XFxccPz48VyPR1b3dFtbW6N169Y4deoUnJycoKGhgbJly2LdunVy61+9ehWurq7Q1NSElZUVpk+fjuDgYIX2/erVq/Dx8RFvyzEzM0OfPn3w5s0bmXp5+T8iNTUVw4cPh4mJCXR1ddGmTRs8efIk1+OQk8aNGwP4/COr1N9//42aNWtCU1MTJUqUQI8ePfD06VOZ9V68eAFfX19YWVlBXV0d5ubmaNu2rXhc8nNdBhS/jgYHB6Nx48YwNTWFuro6HBwcEBgYKFMnpxjevn2LUaNGoXLlytDR0YGenh5atmyJ6OhoBY8csGHDBjg5OYnfmYYNG+LQoUPZ1s/qnm4fHx/o6Ojg3r17cHd3h7a2NiwsLDB16lQIgiC37rx587Bw4UKUKVMGmpqacHV1xb///iuznazu6c7L/2URERGoVauWzGfA+8TpR8Sfpoi+QQkJCXj9+jUEQUBsbCyWLFmCpKQkhXsPO3fuDBsbG8yaNQuXL1/G6tWrYWpqijlz5sjUO3XqFLZv3w5/f3/o6urizz//RIcOHfDo0SMYGxsDAF6+fIm6deuK/4mamJhg//796Nu3LxITEzFs2DAAn4e6N2nSBI8ePcLQoUNhYWGB9evX49ixYwrFvHv3bpQtWxbOzs4K1ffz88PatWvRsWNHjBw5EufOncOsWbNw8+ZN7NixQ6E2sjJkyBAYGhpi8uTJePDgARYtWoTBgwdj69atAIBFixZhyJAh0NHRwYQJEwAAJUuWzLHNxYsXo02bNvD29kZaWhq2bNmCTp06Yc+ePfDw8JCpq8hncu3aNTRv3hwmJiaYMmUKPn36hMmTJ+caR26kyZt0O7np2bMnVq1ahUOHDqFZs2Yyy768b1lVVRX6+vo5tqfIZ7p+/XqsWrUK58+fF4ewK3LOtG/fHgMHDsT27dvRp08fAJ97ue3t7VGjRg25+snJyXB1dcXTp08xYMAAlC5dGmfOnMH48ePx/PlzLFq0CAAgCALatm2LU6dOYeDAgahYsSJ27NiB3r175xqTVFxcHFq0aIH27dujc+fOCA0NxdixY1G5cmW0bNkSAJCeno7WrVvj6NGj6Nq1K3799Ve8e/cOhw8fxr///gtbW1uFt1eY7t27B2VlZRgYGODly5dwdnZGcnIyhg4dCmNjY6xduxZt2rRBaGgo2rVrBwD466+/MHToUHTs2BG//vorUlJScPXqVZw7dw7du3dH+/btcfv2bWzevBkLFy4UR1mYmJhkG8fhw4fRrVs3NGnSRLzO3bx5E6dPnxZ/rEtKSoKLiwtu3ryJPn36oEaNGnj9+jV27dqFJ0+eoESJEkhMTMTq1avRrVs39OvXD+/evUNQUBDc3d1x/vz5fA2Jvnv3Ljp27Ii+ffuid+/eWLNmDXx8fFCzZk04OjoC+PzDZqNGjSCRSDB+/Hhoa2tj9erVCg9VP3z4MO7duwdfX1+YmZmJt+Jcv34d//zzj1wCo8j/EX5+ftiwYQO6d+8OZ2dnHDt2TO56lVdfXmNCQkLg6+uL2rVrY9asWXj58iUWL16M06dP48qVK+KtBR06dMD169cxZMgQWFtbIzY2FocPH8ajR49gbW2dr+tyXq6jgYGBcHR0RJs2baCiooLdu3fD398fGRkZ+OWXXwDk/H/DvXv3EB4ejk6dOsHGxgYvX77EypUr4erqihs3bsiMLMpKQEAApkyZAmdnZ0ydOhVqamo4d+4cjh07hubNmyt49D9LT09HixYtULduXfzxxx84cOAAJk+ejE+fPmHq1KkyddetW4d3797hl19+QUpKChYvXozGjRvj2rVruR5fRf4vu3LlClq0aAFzc3MEBAQgPT0dU6dOzfG7TvTdEojomxEcHCwAkHupq6sLISEhcvUBCJMnTxbfT548WQAg9OnTR6Zeu3btBGNjY7l11dTUhLt374pl0dHRAgBhyZIlYlnfvn0Fc3Nz4fXr1zLrd+3aVdDX1xeSk5MFQRCERYsWCQCEbdu2iXXev38v2NnZCQCE48ePZ7vfCQkJAgChbdu22dbJLCoqSgAg+Pn5yZSPGjVKACAcO3ZMZj8zHyOpMmXKCL179xbfS49906ZNhYyMDLF8+PDhgrKyshAfHy+WOTo6Cq6urgrFKgiCeIyk0tLShEqVKgmNGzeWKVf0M/Hy8hI0NDSEhw8fimU3btwQlJWVBUUu67179xa0tbWFV69eCa9evRLu3r0rzJw5U5BIJEKVKlXEetLz6dWrV1m2ExcXJwAQ2rVrJ9N2VudwbscrL5+pNH5FZK7bsWNHoUmTJoIgCEJ6erpgZmYmBAQECPfv3xcACHPnzhXXmzZtmqCtrS3cvn1bpr1x48YJysrKwqNHjwRBEITw8HABgPDHH3+IdT59+iS4uLgIAITg4GCxPKvj6erqKgAQ1q1bJ5alpqYKZmZmQocOHcSyNWvWCACEBQsWyO1j5vO1qLi6ugr29vbiOXPz5k1h6NChAgDB09NTEARBGDZsmABAOHnypLjeu3fvBBsbG8Ha2lpIT08XBEEQ2rZtKzg6Oua4vblz5woAhPv37ysU36+//iro6ekJnz59yrbOpEmTBADC9u3b5ZZJj+GnT5+E1NRUmWVxcXFCyZIl5a6rX15bpNeQzDGXKVNGACCcOHFCLIuNjRXU1dWFkSNHimVDhgwRJBKJcOXKFbHszZs3gpGRkULH4ctrjCAIwubNm+W2rej/EdLvo7+/v0y97t27Z3tNzUz6nQoICBBevXolvHjxQoiIiBCqV68uABDCwsKEtLQ0wdTUVKhUqZLw4cMHcd09e/YIAIRJkyYJgvC/60zm72dW8npdzst1NKvj6+7uLpQtW1ahGFJSUsTzX+r+/fuCurq6MHXq1BzjvHPnjqCkpCS0a9dOro3M331XV1eZbUs/g8zXIOn1eciQITJteHh4CGpqauK1Sbqupqam8OTJE7HuuXPnBADC8OHDxTLpOZWZov+XeXp6ClpaWsLTp09l9ldFRUWh/8uIviccXk70DVq2bBkOHz6Mw4cPY8OGDWjUqBH8/Pywfft2hdYfOHCgzHsXFxe8efMGiYmJMuVNmzaV6SGrUqUK9PT0cO/ePQCfe/HCwsLg6ekJQRDw+vVr8eXu7o6EhARcvnwZALBv3z6Ym5ujY8eOYntaWlro379/rvFK49LV1VVo//bt2wcAGDFihEz5yJEjAaBA9373799fplfIxcUF6enpePjwYb7b1NTUFP8dFxeHhIQEuLi4iMcus9w+k/T0dBw8eBBeXl4oXbq0WK9ixYpwd3dXOKb379/DxMQEJiYmsLOzw2+//YZ69erlaZSAjo4OAODdu3cy5RoaGuL5K33Nnz8/x7aK8jOV6t69OyIiIvDixQscO3YML168yHZo+d9//w0XFxcYGhrKnPdNmzZFeno6Tpw4IcatoqKCQYMGiesqKytjyJAhCselo6MjM4pFTU0NTk5O4mcOAGFhYShRokSW7X6tYZj//fefeM5UrFgRS5YsgYeHh3iryb59++Dk5IQGDRqI6+jo6KB///548OABbty4AeDz7TJPnjzBhQsXCi02AwMDvH//PsdbHcLCwlC1alWxxz0z6TFUVlYW5wrIyMjA27dv8enTJ9SqVSvL76siHBwc4OLiIr43MTFBhQoVZD7fAwcOoF69ejI96UZGRvD29lZoG5mvMSkpKXj9+jXq1q0LAFnGndv/EdLv49ChQ2XqSUc2KWry5MkwMTGBmZkZ3NzcEBMTgzlz5qB9+/a4ePEiYmNj4e/vL3PvsYeHB+zt7cXvvHT+hoiICMTFxeVp+9nJ63U08/GVjkRzdXXFvXv3kJCQkOv21NXVoaSkJG77zZs30NHRQYUKFXI9r8LDw5GRkYFJkyaJbUjl97s/ePBgmTYGDx6MtLQ0HDlyRKael5cXLC0txfdOTk6oU6eOeH7kRJH/y44cOQIvLy+Znn47OztxhA/Rj4TDy4m+QU5OTjITqXXr1g3Vq1fH4MGD0bp161wnkMr8RwQAGBoaAvic8Onp6WVbT1pX+ofNq1evEB8fj1WrVmU7a3hsbCwA4OHDh7Czs5P7I6BChQo5xgpAjOnL5C07Dx8+hJKSEuzs7GTKzczMYGBgUKAEOadjl1979uzB9OnTERUVJXd/cm7bl8aQ+TP58OEDypUrJ1evQoUKCv0xBHxOjHfv3g3g8x+ENjY2sLKyUmhdqaSkJADyP5YoKyujadOmeWqrKD9TqVatWkFXVxdbt25FVFQUateuDTs7uyzvl71z5w6uXr2a7TDHzOe9ubm5+AOElCLnvZSVlZXcuWBoaIirV6+K72NiYlChQoU8T1iUkJAg86g0NTU1GBkZ4e3bt0hLSxPLNTU1cx3+b21tjb/++kucoKlcuXIwNTUVlz98+BB16tSRW69ixYri8kqVKmHs2LE4cuQInJycYGdnh+bNm6N79+6oX79+rvuTXdz+/v7Ytm0bWrZsCUtLSzRv3hydO3dGixYtxLoxMTHo0KFDrttYu3Yt5s+fj//++w8fP34Uy21sbHJdNyu5faeBz8emXr16cvW+/D5k5+3btwgICMCWLVvEc1Mqq6Qwt/8jpN/HL29byMt5DXz+EbNTp05QUlKCgYEBHB0dxSHz0u90Vm3a29vj1KlTAD5fn+bMmYORI0eiZMmSqFu3Llq3bo1evXrBzMwsx+2np6fLzMkBQDz/83IdPX36NCZPnoyzZ8/K3fuekJCQ63cnIyMDixcvxvLly3H//n2kp6eLy3K7nScmJgZKSkpwcHDIsZ6ilJSUULZsWZmy8uXLA5CfzyOr41O+fHls27Yt1+3kdt7Hxsbiw4cPWZ7jip73RN8TJt1E3wElJSU0atQIixcvxp07d8T7ALOT3Qy6QqaJUhSpJ50wqkePHtneo1qlSpUcY1GEnp4eLCws5CZoyU1Bevgy/9GTmaLHTlEnT55EmzZt0LBhQyxfvhzm5uZQVVVFcHCwOHFUUW4/O/lJjL8k/bwK8w+kouy1VVdXR/v27bF27Vrcu3cvywn2pDIyMtCsWTOMGTMmy+XSP1ILQ1F+5r/++ivWrl0rvnd1dUVERATat2+PyMhIsbx37965Tkinra1d4HMG+JyE37p1C3v27MGBAwcQFhaG5cuXY9KkSQgICMhx3eziNjU1RVRUFA4ePIj9+/dj//79CA4ORq9evWT2PzcbNmyAj48PvLy8MHr0aJiamkJZWRmzZs3K94R1X+M73blzZ5w5cwajR49GtWrVoKOjg4yMDLRo0SLL56h/retMuXLlCuWcGTZsGDw9PREeHo6DBw/i999/x6xZs3Ds2DFUr1492/UeP34s92PJ8ePHYW9vr/C2Y2Ji0KRJE9jb22PBggUoVaoU1NTUsG/fPixcuFCh59TPnDkTv//+O/r06YNp06bByMgISkpKGDZsWJE85/5b8LXOMaLvBZNuou/Ep0+fAPyvd/FrkM5am56enusfTmXKlMG///4LQRBkEqdbt24ptK3WrVtj1apVOHv2bJY9Pl9uKyMjA3fu3BF70YDPk77Fx8ejTJkyYpmhoaHcTNJpaWl4/vy5QnFlJS+JYVhYGDQ0NHDw4EGZSZGCg4PztW0TExNoamrizp07cssUPdaFZf369QCQp2Ht2cnLZ1oQ3bt3x5o1a6CkpISuXbtmW8/W1hZJSUkKnfdHjx5FUlKSTG93YX8Wtra2OHfuHD5+/JinR3ONGTNGZui6tEdz/vz5Mj2tuU3kpIgyZcpkud///fefuFxKW1sbXbp0QZcuXZCWlob27dtjxowZGD9+PDQ0NLL9juUUt5qaGjw9PeHp6YmMjAz4+/tj5cqV+P3332FnZwdbW9tcf9gLDQ1F2bJlsX37dpkYJk+erNhByKcyZcrg7t27cuVZlX0pLi4OR48eRUBAACZNmiSWZ3WNyEs8GRkZ4ggLqcI8r6Xnw61bt8RZzTNv58vvvK2tLUaOHImRI0fizp07qFatGubPn48NGzYAyPq6bGZmJnfLQdWqVaGnp6fwdXT37t1ITU3Frl27ZHpvs5rRPrvzNjQ0FI0aNUJQUJBMeXx8vMzjGLNia2uLjIwM3Lhxo1CebZ6RkYF79+7J/HB4+/ZtAJ9Hs2SW1fG5ffu2XL38MDU1hYaGRr7Pe6LvDe/pJvoOfPz4EYcOHYKamppMQlLUlJWV0aFDB4SFhWX5x2rmYXutWrXCs2fPZB6FlZycnO2w9C+NGTMG2tra8PPzw8uXL+WWx8TEiI//adWqFQCIM0hLLViwAABkZti1tbUV77+VWrVqVbY93YrQ1tZW+JFQysrKkEgkMtt78OABwsPD87VtZWVluLu7Izw8HI8ePRLLb968iYMHD+arzfzYtGkTVq9ejXr16qFJkyYFbi8vn2lBNGrUCNOmTcPSpUtzHJrauXNnnD17NstjGh8fL/4I1qpVK3z69Enm8UHp6elYsmRJocQr1aFDB7x+/RpLly6VW5ZTz5GDgwOaNm0qvmrWrAkAqFmzpkx5YQxdbdWqFc6fP4+zZ8+KZe/fv8eqVatgbW0tbuPLx1ipqanBwcEBgiCIw7m1tbUBQO57ll3cX7appKQkjsKR3tLRoUMHREdHZzlvgfQYSnvnMh/Tc+fOyexTUXB3d8fZs2cRFRUllr19+xYbN27Mdd2sYgbkv0t5Ib2n9s8//yy0Nr9Uq1YtmJqaYsWKFTK33ezfvx83b94Uv/PJyclISUmRWdfW1ha6uroy62V1XdbQ0JA5X5o2bQpDQ8M8XUezOr4JCQlZ/nCa3f8NysrKcp/P33//LfdotKx4eXlBSUkJU6dOlesVz2+vcebriCAIWLp0KVRVVeWu5eHh4TIxnj9/HufOnSuUe66lo63Cw8Px7Nkzsfzu3bvYv39/gdsn+tawp5voG7R//36xdyg2NhabNm3CnTt3MG7cOJl7sr+G2bNn4/jx46hTpw769esHBwcHvH37FpcvX8aRI0fw9u1bAEC/fv2wdOlS9OrVC5cuXYK5uTnWr18PLS0thbZja2uLTZs2oUuXLqhYsSJ69eqFSpUqIS0tDWfOnMHff/8tPle7atWq6N27N1atWoX4+Hi4urri/PnzWLt2Lby8vNCoUSOxXT8/PwwcOBAdOnRAs2bNEB0djYMHD+bau5CTmjVrIjAwENOnT4ednR1MTU3lemqkPDw8sGDBArRo0QLdu3dHbGwsli1bBjs7O5l7dvMiICAABw4cgIuLC/z9/fHp0yfxucf5bTMnoaGh0NHRQVpaGp4+fYqDBw/i9OnTqFq1Kv7+++9C2UZePtOCUFJSwsSJE3OtN3r0aOzatQutW7cWH+/0/v17XLt2DaGhoXjw4AFKlCgBT09P1K9fH+PGjcODBw/g4OCA7du3KzS5Ul706tUL69atw4gRI3D+/Hm4uLjg/fv3OHLkCPz9/dG2bdtC3V5+jBs3Dps3b0bLli0xdOhQGBkZYe3atbh//z7CwsLESaCaN28OMzMz1K9fHyVLlsTNmzexdOlSeHh4iPMDSH8cmDBhArp27QpVVVV4enqKyfiX/Pz88PbtWzRu3BhWVlZ4+PAhlixZgmrVqok/VI4ePRqhoaHo1KkT+vTpg5o1a+Lt27fYtWsXVqxYgapVq6J169bYvn072rVrBw8PD9y/fx8rVqyAg4NDkY4yGjNmDDZs2IBmzZphyJAh4iPDSpcujbdv3+Y4ukZPTw8NGzbEH3/8gY8fP8LS0hKHDh2SeRZ2XlWrVg3dunXD8uXLkZCQAGdnZxw9erRQeyBVVVUxZ84c+Pr6wtXVFd26dRMfGWZtbY3hw4cD+Nyz2qRJE3Tu3BkODg5QUVHBjh078PLlS5nRKnm5LgOKX0ebN28ujqIYMGAAkpKS8Ndff8HU1FRuxFR2MbRu3RpTp06Fr68vnJ2dce3aNWzcuFHu3uqs2NnZYcKECZg2bRpcXFzQvn17qKur48KFC7CwsMCsWbPydNw1NDRw4MAB9O7dG3Xq1MH+/fuxd+9e/Pbbb3JzWNjZ2aFBgwYYNGgQUlNTsWjRIhgbG2d7201eTZkyBYcOHUL9+vUxaNAgpKenY+nSpahUqZLMD1BEP4SvO1k6EeUkq0eGaWhoCNWqVRMCAwPlHg2EbB4Z9uUjnrJ6lA0A4ZdffpGL4ctHaQmCILx8+VL45ZdfhFKlSgmqqqqCmZmZ0KRJE2HVqlUy9R4+fCi0adNG0NLSEkqUKCH8+uuvwoEDB3J9ZFhmt2/fFvr16ydYW1sLampqgq6urlC/fn1hyZIlQkpKiljv48ePQkBAgGBjYyOoqqoKpUqVEsaPHy9TRxA+Pxpq7NixQokSJQQtLS3B3d1duHv3braPDLtw4YLM+sePH5eL/8WLF4KHh4egq6ur0OOwgoKChHLlygnq6uqCvb29EBwcnO1jVhT9TCIjI4WaNWsKampqQtmyZYUVK1Zk2WZWFH3klrS9zOeilZWV0Lp1a2HNmjVyxzovbWdF0c80v48My05WjwwThM+Puxo/frxgZ2cnqKmpCSVKlBCcnZ2FefPmCWlpaWK9N2/eCD179hT09PQEfX19oWfPnsKVK1cUfmRYVo/P6t27t1CmTBmZsuTkZGHChAni8TEzMxM6duwoxMTEKHQsCiK7OL8UExMjdOzYUTAwMBA0NDQEJycnYc+ePTJ1Vq5cKTRs2FAwNjYW1NXVBVtbW2H06NFCQkKCTL1p06YJlpaWgpKSUq6PzQoNDRWaN28umJqaCmpqakLp0qWFAQMGCM+fP5ep9+bNG2Hw4MGCpaWloKamJlhZWQm9e/cWH4mYkZEhzJw5UyhTpoygrq4uVK9eXdizZ0+Wn8eX19/sHhnm4eEhF++Xj3cSBEG4cuWK4OLiIqirqwtWVlbCrFmzhD///FMAILx48SLbfRcEQXjy5InQrl07wcDAQNDX1xc6deokPHv2rED/R3z48EEYOnSoYGxsLGhrawuenp7C48eP8/TIsNwe8yUIgrB161ahevXqgrq6umBkZCR4e3vLPKbq9evXwi+//CLY29sL2tragr6+vlCnTh2Zx1MKQt6vy4Kg+HV0165dQpUqVQQNDQ3B2tpamDNnjvgYv8zHLLsYUlJShJEjRwrm5uaCpqamUL9+feHs2bNZngfZWbNmjXicDA0NBVdXV+Hw4cPickUfGaatrS3ExMQIzZs3F7S0tISSJUsKkydPlnkcWebPb/78+UKpUqUEdXV1wcXFRYiOjpaJq6D/lx09elSoXr26oKamJtja2gqrV68WRo4cKWhoaCh0XIi+FxJB4IwGRERERN+aYcOGYeXKlUhKSsp2YioiRfn4+CA0NDTXURsPHjyAjY0N5s6di1GjRn2l6P7Hy8sL169fL9C8BETfGt7TTURERFTMMj/aDfh8n/r69evRoEEDJtz0w/ryvL9z5w727dsHNze34gmIqIjwnm4iIiKiYlavXj24ubmhYsWKePnyJYKCgpCYmIjff/+9uEMjKjJly5aFj48PypYti4cPHyIwMBBqamqFdt840beCSTcRERFRMWvVqhVCQ0OxatUqSCQS1KhRA0FBQWjYsGFxh0ZUZFq0aIHNmzfjxYsXUFdXR7169TBz5kyUK1euuEMjKlS8p5uIiIiIiIioiPCebiIiIiIiIqIiwqSbiIiIiIiIqIj88Pd0Z2Rk4NmzZ9DV1YVEIinucIiIiIiIiOgHIAgC3r17BwsLCygpZd+f/cMn3c+ePUOpUqWKOwwiIiIiIiL6AT1+/BhWVlbZLv/hk25dXV0Anw+Enp5eMUdDREREREREP4LExESUKlVKzDmz88Mn3dIh5Xp6eky6iYiIiIiIqFDldhszJ1IjIiIiIiIiKiJMuomIiIiIiIiKCJNuIiIiIiIioiLyw9/Traj09HR8/PixuMMgomKkqqoKZWXl4g6DiIiIiH4gP33SLQgCXrx4gfj4+OIOhYi+AQYGBjAzM8t1QgwiIiIiIkX89Em3NOE2NTWFlpYW/9Am+kkJgoDk5GTExsYCAMzNzYs5IiIiIiL6EfzUSXd6erqYcBsbGxd3OERUzDQ1NQEAsbGxMDU15VBzIiIiIiqwYp1I7cSJE/D09ISFhQUkEgnCw8OzrTtw4EBIJBIsWrSo0LYvvYdbS0ur0Nokou+b9HrAOR6IiIiIqDAUa9L9/v17VK1aFcuWLcux3o4dO/DPP//AwsKiSOLgkHIikuL1gIiIiIgKU7EOL2/ZsiVatmyZY52nT59iyJAhOHjwIDw8PL5SZEREREREREQF900/pzsjIwM9e/bE6NGj4ejoqNA6qampSExMlHn9rEJCQmBgYJCndXx8fODl5VUk8eSHm5sbhg0blmu9hg0bYtOmTUUfUCZTpkxBtWrVvuo2vyX5Ob+KW9euXTF//vziDoOIiIiIfiLf9ERqc+bMgYqKCoYOHarwOrNmzUJAQECBtuu52bNA6+fV7m6781Tfx8cH8fHxcvfAR0REoFGjRoiLi4OBgQG6dOmCVq1aFWKk36Zdu3bh5cuX6Nq1q1hmbW2Nhw8fYvPmzTLlAODo6IgbN24gODgYPj4+hRbHlClTEB4ejqioKJnyBw8ewMbGBleuXPkmkvSwsDB07twZjx49gqWlpdzycuXKwdPTEwsWLCiG6PJPev5/6fnz5zAzMwMATJw4EQ0bNoSfnx/09fW/dohERERE9BP6Znu6L126hMWLFyMkJCRP91iOHz8eCQkJ4uvx48dFGOW3TVNTE6ampsUdRpH7888/4evrCyUl2dO5VKlSCA4Olin7559/8OLFC2hra3/NEL8pbdq0gbGxMdauXSu37MSJE7h79y769u1bKNt69OhRobSTF7du3cLz58/FV+bvQKVKlWBra4sNGzZ89biIiOjn8LU7b4jo2/fNJt0nT55EbGwsSpcuDRUVFaioqODhw4cYOXIkrK2ts11PXV0denp6Mq+fVVbDf6dPnw5TU1Po6urCz88P48aNy7L3dd68eTA3N4exsTF++eWXXGdyjo+Ph5+fH0xMTKCnp4fGjRsjOjpaXC4dir1+/XpYW1tDX18fXbt2xbt378Q679+/R69evaCjowNzc3OFhgG/evUKx44dg6en/H9w3t7eiIyMlPnhZc2aNfD29oaKiuwgj9ziB4DZs2ejZMmS0NXVRd++fZGSkpJrfNmJjIyEk5MT1NXVYW5ujnHjxuHTp0/icmtra7mZ+qtVq4YpU6YA+PxM6SlTpqB06dJQV1eHhYWFzIiQ1NRUjBo1CpaWltDW1kadOnUQEREBAFBVVUXPnj0REhIiF9eaNWtQp04dODo6YsGCBahcuTK0tbVRqlQp+Pv7IykpKU/76erqirp16yIwMBBxcXF5Wje/TE1NYWZmJr6+/DHG09MTW7Zs+SqxEBERERF9s0l3z549cfXqVURFRYkvCwsLjB49GgcPHizu8L5LGzduxIwZMzBnzhxcunQJpUuXRmBgoFy948ePIyYmBsePH8fatWsREhKSZYKWWadOnRAbG4v9+/fj0qVLqFGjBpo0aYK3b9+KdWJiYhAeHo49e/Zgz549iIyMxOzZs8Xlo0ePRmRkJHbu3IlDhw4hIiICly9fznG7p06dgpaWFipWrCi3rGTJknB3dxd7dJOTk7F161b06dMnz/Fv27YNU6ZMwcyZM3Hx4kWYm5tj+fLlOcaWnadPn6JVq1aoXbs2oqOjERgYiKCgIEyfPl3hNsLCwrBw4UKsXLkSd+7cQXh4OCpXriwuHzx4MM6ePYstW7bg6tWr6NSpE1q0aIE7d+4AAPr27Ys7d+7gxIkT4jpJSUkIDQ0Ve7mVlJTw559/4vr161i7di2OHTuGMWPG5GlfT5w4gTZt2uDPP/+Eubk5OnfujL179yI9PV2u7smTJ6Gjo5Pja+PGjblus1q1ajA3N0ezZs1w+vRpueVOTk44f/48UlNT87QvRERERET5Uaz3dCclJeHu3bvi+/v37yMqKgpGRkYoXbo0jI2NZeqrqqrCzMwMFSpU+NqhfnP27NkDHR0dmbKsEpnMlixZgr59+8LX1xcAMGnSJBw6dEiu99LQ0BBLly6FsrIy7O3t4eHhgaNHj6Jfv35Ztnvq1CmcP38esbGxUFdXB/C5pzw8PByhoaHo378/gM8T44WEhEBXVxfA5x9Wjh49ihkzZiApKQlBQUHYsGEDmjRpAgBYu3YtrKysctynhw8fomTJknK9mVJ9+vTByJEjMWHCBISGhsLW1lauZ1+R+BctWoS+ffuKCen06dNx5MgRud7ua9euyX0ugiDIvF++fDlKlSqFpUuXQiKRwN7eHs+ePcPYsWMxadKkbPcls0ePHsHMzAxNmzaFqqoqSpcuDScnJ3FZcHAwHj16JD5mb9SoUThw4ACCg4Mxc+ZMODg4oG7dulizZg0aNmwI4PMPC4IgiPfAZ57AztraGtOnT8fAgQPz9GNDqVKl8Ntvv+G3337D+fPnsW7dOvj4+EBFRQXe3t7w8fFBpUqVAAC1atWSux/+SyVLlsx2mbm5OVasWIFatWohNTUVq1evhpubG86dO4caNWqI9SwsLJCWloYXL16gTJkyCu8LEREREVF+FGtP98WLF1G9enVUr14dADBixAhUr14dkyZNKs6wvguNGjWSGQUQFRWF1atX57jOrVu3xMRM6sv3wOeJxpSVlcX35ubmiI2NBQDMnDlTpufx0aNHiI6ORlJSEoyNjWWW3b9/HzExMWI71tbWYsL9ZbsxMTFIS0tDnTp1xOVGRka5/sDy4cMHaGhoZLvcw8MDSUlJOHHiBNasWZNlL7ci8d+8eVMmNgCoV6+eXFsVKlSQ+1z27dsnU+fmzZuoV6+ezFwF9evXR1JSEp48eZLj/kp16tQJHz58QNmyZdGvXz/s2LFDHJ5+7do1pKeno3z58jL7ExkZKfN59OnTB6GhoeIQ/zVr1qBTp07iZ3TkyBE0adIElpaW0NXVRc+ePfHmzRskJycrFOOXnJycsHTpUjx9+hTdu3fHggUL0KNHD3G5pqYm7OzscnxlPn++VKFCBQwYMAA1a9aEs7Mz1qxZA2dnZyxcuFCmnqamJgDkez+IiIiIiPKiWHu63dzc5HoBc/LgwYOiC+Y7o62tDTs7O5kyRRO23Kiqqsq8l0gkyMjIAAAMHDgQnTt3FpdZWFggKSkJ5ubm4j3DmWW+pzyndvOrRIkSOd4rrKKigp49e2Ly5Mk4d+4cduzYIVdH0fgVoaamJve5fHn/uCKUlJTkvhuZ76svVaoUbt26hSNHjuDw4cPw9/fH3LlzERkZiaSkJCgrK+PSpUsyP54AkOmF79q1K4YPH45t27ahYcOGOH36NGbNmgXg83etdevWGDRoEGbMmAEjIyOcOnUKffv2RVpaGrS0tPK8T7du3cL69euxYcMGJCQkoF+/fjITtp08eRItW7bMsY2VK1fC29tb4W06OTnh1KlTMmXSWwZMTEzyED0RERERUf58048Mo8JVoUIFXLhwAb169RLLLly4kKc2jIyMYGRkJFNWo0YNvHjxAioqKjlOcpcTW1tbqKqq4ty5cyhdujQAIC4uDrdv34arq2u261WvXh0vXrxAXFwcDA0Ns6zTp08fzJs3D126dMmyjiLxV6xYEefOnZM5dv/8808e9lC2rbCwMAiCIPZ2nz59Grq6uuJwehMTEzx//lxcJzExEffv35dpR1NTE56envD09MQvv/wCe3t7XLt2DdWrV0d6ejpiY2Ph4uKSbRy6urro1KkT1qxZg5iYGJQvX16sf+nSJWRkZGD+/PnicPdt27bleV9fv36NLVu2YP369bh06RKaNWuG2bNnw8vLS26EQkGHl2clKioK5ubmMmX//vsvrKysUKJEiTy1RURERESUH0y6fyJDhgxBv379UKtWLTg7O2Pr1q24evUqypYtW6B2mzZtinr16sHLywt//PEHypcvj2fPnmHv3r1o164datWqlWsbOjo66Nu3L0aPHg1jY2OYmppiwoQJud7fXL16dZQoUQKnT59G69ats6xTsWJFvH79OtveWUXi//XXX+Hj44NatWqhfv362LhxI65fv56vY+fv749FixZhyJAhGDx4MG7duoXJkydjxIgR4v42btwYISEh8PT0hIGBASZNmiTTax0SEoL09HTUqVMHWlpa2LBhAzQ1NVGmTBkYGxvD29sbvXr1wvz581G9enW8evUKR48eRZUqVeDh4SG207dvX7i4uODmzZsYO3asWG5nZ4ePHz9iyZIl8PT0xOnTp7FixYo872udOnWgoaGB3r17Izw8XC4Bzkw6vDy/Fi1aBBsbGzg6OiIlJQWrV6/GsWPHcOjQIZl6J0+eRPPmzfO9HSIiIiKivGDS/RPx9vbGvXv3MGrUKKSkpKBz587w8fHB+fPnC9SuRCLBvn37MGHCBPj6+uLVq1cwMzNDw4YN89QzOXfuXCQlJcHT0xO6uroYOXIkEhISclxHWVkZvr6+2LhxY7ZJNwC5SfnyGn+XLl0QExODMWPGICUlBR06dMCgQYPyNZO+paUl9u3bh9GjR6Nq1aowMjJC3759MXHiRLHO+PHjcf/+fbRu3Rr6+vqYNm2aTE+3gYEBZs+ejREjRiA9PR2VK1fG7t27xf0MDg7G9OnTMXLkSDx9+hQlSpRA3bp15Y5RgwYNUKFCBdy9e1emF79q1apYsGAB5syZg/Hjx6Nhw4aYNWuWTB1F7N27F/b29nk+RvmRlpYm7q+WlhaqVKmCI0eOoFGjRmKdlJQUhIeH48CBA18lJiIiIiIiiZCXm6q/Q4mJidDX10dCQoLcM7tTUlJw//592NjY5DgZ14+sWbNmMDMzw/r164s7lHx78eIFHB0dcfnyZc5GTTkKDAzEjh075Hq/M+N1gYiICsJzsyd2d9td3GEQ0VeQU66ZGXu6fyLJyclYsWIF3N3doaysjM2bN4sTcX3PzMzMEBQUhEePHjHpphypqqpiyZIlxR0GEREREf1EmHT/RKTDqGfMmIGUlBRUqFABYWFhaNq0aXGHVmBeXl7FHQJ9B/z8/Io7BCIiIiL6yTDp/oloamriyJEjxR0GERERERHRTyPnqaGJiIiIiIiIKN+YdBMREREREREVESbdREREREREREWESTcRERERERFREWHSTURERERERFREmHQTERERERERFREm3T+oiIgISCQSxMfHAwBCQkJgYGBQrDERERERERH9bPic7iysWvV1t9e/f/7WO3v2LBo0aIAWLVpg7969BY5DIpGI/9bS0oKFhQXq16+PIUOGoGbNmnlqy83NDdWqVcOiRYsKHBcREREREdH3ij3d37GgoCAMGTIEJ06cwLNnzwqlzeDgYDx//hzXr1/HsmXLkJSUhDp16mDdunWF0j4REREREdHPhEn3dyopKQlbt27FoEGD4OHhgZCQkEJp18DAAGZmZrC2tkbz5s0RGhoKb29vDB48GHFxcQCAN2/eoFu3brC0tISWlhYqV66MzZs3i234+PggMjISixcvhkQigUQiwYMHD5Ceno6+ffvCxsYGmpqaqFChAhYvXlwocRMREREREX2LmHR/p7Zt2wZ7e3tUqFABPXr0wJo1ayAIQpFsa/jw4Xj37h0OHz4MAEhJSUHNmjWxd+9e/Pvvv+jfvz969uyJ8+fPAwAWL16MevXqoV+/fnj+/DmeP3+OUqVKISMjA1ZWVvj7779x48YNTJo0Cb/99hu2bdtWJHETEREREREVN97T/Z0KCgpCjx49AAAtWrRAQkICIiMj4ebmVujbsre3BwA8ePAAAGBpaYlRo0aJy4cMGYKDBw9i27ZtcHJygr6+PtTU1KClpQUzMzOxnrKyMgICAsT3NjY2OHv2LLZt24bOnTsXetxERERERETFjUn3d+jWrVs4f/48duzYAQBQUVFBly5dEBQUVCRJt7QHXTrRWnp6OmbOnIlt27bh6dOnSEtLQ2pqKrS0tHJta9myZVizZg0ePXqEDx8+IC0tDdWqVSv0mImIiIiIiL4FTLq/Q0FBQfj06RMsLCzEMkEQoK6ujqVLl0JfX79Qt3fz5k0An3umAWDu3LlYvHgxFi1ahMqVK0NbWxvDhg1DWlpaju1s2bIFo0aNwvz581GvXj3o6upi7ty5OHfuXKHGS0RERERE9K1g0v2d+fTpE9atW4f58+ejefPmMsu8vLywefNmDBw4sFC3uWjRIujp6aFp06YAgNOnT6Nt27bi8PaMjAzcvn0bDg4O4jpqampIT0+Xaef06dNwdnaGv7+/WBYTE1OosRIREREREX1LmHR/Z/bs2YO4uDj07dtXrke7Q4cOCAoKKlDSHR8fjxcvXiA1NRW3b9/GypUrER4ejnXr1sHAwAAAUK5cOYSGhuLMmTMwNDTEggUL8PLlS5mk29raGufOncODBw+go6MDIyMjlCtXDuvWrcPBgwdhY2OD9evX48KFC2IPOhERERER0Y+Gs5d/Z4KCgtC0adMsh5B36NABFy9exNWrV/Pdvq+vL8zNzWFvb49BgwZBR0cH58+fR/fu3cU6EydORI0aNeDu7g43NzeYmZnBy8tLpp1Ro0ZBWVkZDg4OMDExwaNHjzBgwAC0b98eXbp0QZ06dfDmzRuZXm8iIiIiIqIfjUQoqudMfSMSExOhr6+PhIQE6OnpySxLSUnB/fv3YWNjAw0NjWKKkIi+JbwuEBFRQXhu9sTubruLOwwi+gpyyjUzY083ERERERERURFh0k1ERERERERURJh0ExERERERERURJt1ERERERERERYRJNxEREREREVERKdak+8SJE/D09ISFhQUkEgnCw8PFZR8/fsTYsWNRuXJlaGtrw8LCAr169cKzZ8+KL2AiIiIiIiKiPCjWpPv9+/eoWrUqli1bJrcsOTkZly9fxu+//47Lly9j+/btuHXrFtq0aVMMkRIRERERERHlnUpxbrxly5Zo2bJllsv09fVx+PBhmbKlS5fCyckJjx49QunSpb9GiERERERERET59l3d052QkACJRAIDA4PiDoWIiIiIiIgoV99N0p2SkoKxY8eiW7du0NPTy7ZeamoqEhMTZV70fYiIiIBEIkF8fHyO9Y4ePYqKFSsiPT396wT2/76cd+BnY21tjUWLFhV3GAp7/fo1TE1N8eTJk+IOhYiIiIh+YsU6vFxRHz9+ROfOnSEIAgIDA3OsO2vWLAQEBBRsg6tWFWz9vOrfP0/VfXx8EB8f/9MmgGPGjMHEiROhrKwMAAgJCYGvry/s7e1x8+ZNmbp///03OnfujDJlyuDBgweFGodEIsGOHTvg5eUlU/6tfT6VK1dG/fr1sWLFCrll69evh5+fH54+fYoSJUoUQ3T5t2rVKmzatAmXL1/Gu3fvEBcXJzMKpkSJEujVqxcmT56MoKCg4guUiIiIiH5q33xPtzThfvjwIQ4fPpxjLzcAjB8/HgkJCeLr8ePHXylS+hpOnTqFmJgYdOjQQaZcW1sbsbGxOHv2rEx5UFDQT3//f9++fbFlyxZ8+PBBbllwcDDatGnzVRLu9+/f482bN4XWXnJyMlq0aIHffvst2zq+vr7YuHEj3r59W2jbJSIiIiLKi2866ZYm3Hfu3MGRI0dgbGyc6zrq6urQ09OTef1sIiMj4eTkBHV1dZibm2PcuHH49OkTAGDPnj0wMDAQh2ZHRUVBIpFg3Lhx4vp+fn7o0aNHjtvYuXMnatSoAQ0NDZQtWxYBAQHiNoDPvcCrV69Gu3btoKWlhXLlymHXrl0ybezbtw/ly5eHpqYmGjVqpFBP9JYtW9CsWTNoaGjIlKuoqKB79+5Ys2aNWPbkyRNERESge/fueY7/zp07aNiwITQ0NODg4CA3qV9epKamYujQoTA1NYWGhgYaNGiACxcuiMtDQkLk5ikIDw+HRCIR30dHR6NRo0bQ1dWFnp4eatasiYsXL4rLT506BRcXF2hqaqJUqVIYOnQo3r9/DwDo0aMHPnz4gLCwMJlt3L9/HxEREejbty9iYmLQtm1blCxZEjo6OqhduzaOHDmS732WEgQBkZGR8PX1hZmZGU6dOlXgNqWGDRuGcePGoW7dutnWcXR0hIWFBXbs2FFo2yUiIiIiyotiTbqTkpIQFRWFqKgoAJ+TgKioKDx69AgfP35Ex44dcfHiRWzcuBHp6el48eIFXrx4gbS0tOIM+5v29OlTtGrVCrVr10Z0dDQCAwMRFBSE6dOnAwBcXFzw7t07XLlyBcDnBL1EiRKIiIgQ24iMjISbm1u22zh58iR69eqFX3/9FTdu3MDKlSsREhKCGTNmyNQLCAhA586dcfXqVbRq1Qre3t5ij+Pjx4/Rvn17eHp6IioqCn5+fjKJf07brlWrVpbL+vTpg23btiE5ORnA52S2RYsWKFmyZJ7iz8jIQPv27aGmpoZz585hxYoVGDt2bK6xZWfMmDEICwvD2rVrcfnyZdjZ2cHd3T1Pva/e3t6wsrLChQsXcOnSJYwbNw6qqqoAgJiYGLRo0QIdOnTA1atXsXXrVpw6dQqDBw8G8HmYddu2bWV+kJAeHysrKzRv3hxJSUlo1aoVjh49iitXrqBFixbw9PTEo0eP8rXP9+7dw+TJk1G2bFl4eHggPT0dO3bsgKenp1inZcuW0NHRyfbl6OiYr21/ycnJCSdPniyUtoiIiIiI8qpYk+6LFy+ievXqqF69OgBgxIgRqF69OiZNmoSnT59i165dePLkCapVqwZzc3PxdebMmeIM+5u2fPlylCpVCkuXLoW9vT28vLwQEBCA+fPnIyMjA/r6+qhWrZqYZEdERGD48OG4cuUKkpKS8PTpU9y9exeurq7ZbiMgIADjxo1D7969UbZsWTRr1gzTpk3DypUrZer5+PigW7dusLOzw8yZM5GUlITz588DAAIDA2Fra4v58+ejQoUK8Pb2ho+PT6779/DhQ1hYWGS5rHr16ihbtixCQ0MhCAJCQkLQp0+fPMd/5MgR/Pfff1i3bh2qVq2Khg0bYubMmVlus1u3bnLJ4saNG8Xl79+/R2BgIObOnYuWLVvCwcEBf/31FzQ1NfN0n/GjR4/QtGlT2Nvbo1y5cujUqROqVq0K4PM8Bt7e3hg2bBjKlSsHZ2dn/Pnnn1i3bh1SUlIAfB5iHhERgfv37wP43AO9du1a9O7dG0pKSqhatSoGDBiASpUqoVy5cpg2bRpsbW3lRifkJCkpCUFBQWjYsCHKly+PM2fOYOrUqXj58iXWrVuHpk2bQknpf5ec1atXiz+6ZfXat2+fwtvOiYWFBR4+fFgobRERERER5VWxTqTm5uYGQRCyXZ7TMsrazZs3Ua9ePZmhyfXr10dSUhKePHmC0qVLw9XVFRERERg5ciROnjyJWbNmYdu2bTh16hTevn0LCwsLlCtXDgCgo6MjttOjRw+sWLEC0dHROH36tEzPdnp6OlJSUpCcnAwtLS0AQJUqVcTl2tra0NPTQ2xsrBhnnTp1ZGKvV69ervv34cMHuaHlmfXp0wfBwcEoXbo03r9/j1atWmHp0qUydXKL/+bNmyhVqpRMcp9dbAsXLkTTpk1lysaOHSsO34+JicHHjx9Rv359cbmqqiqcnJzkJn3LyYgRI+Dn54f169ejadOm6NSpE2xtbcX9uXr1qkyyLwgCMjIycP/+fVSsWBHNmjWDlZUVgoODMXXqVBw9ehSPHj2Cr68vgM8J85QpU7B37148f/4cnz59wocPH/LU0x0aGgo/Pz9UqlQJ0dHRufZUW1paKtx2QWhqaoqjH4iIiIiIvrbvYvZyKlxubm5Ys2YNoqOjoaqqCnt7e7i5uSEiIgJxcXEyvdzSof8AxPvjk5KSEBAQgPbt28u1nTkhlg5/lpJIJMjIyChQ7CVKlEBcXFy2y729vTFmzBhMmTIFPXv2hIqK/CmuaPyKMDMzg52dnUyZrq5uro89y0xJSUnuB6aPHz/KvJ8yZQq6d++OvXv3Yv/+/Zg8eTK2bNmCdu3aISkpCQMGDMDQoUPl2pZOIqekpAQfHx+sXbsWU6ZMQXBwMBo1aoSyZcsCAEaNGoXDhw9j3rx5sLOzg6amJjp27JinWznatm2LhQsXYu3atahZsyY8PT3Rs2dPtGzZUu5cAD4PL89p2HeZMmVw/fp1hbefnbdv38LExKTA7RARERER5QeT7h9MxYoVERYWBkEQxN7u06dPQ1dXF1ZWVgD+d1/3woULxQTbzc0Ns2fPRlxcHEaOHCm292VCCQA1atTArVu3slyWlzi/HLr8zz//5Lpe9erVcePGjWyXGxkZoU2bNti2bVuWj8gCco+/YsWKePz4MZ4/fw5zc3OFY8uKra0t1NTUcPr0aZQpUwbA54T6woULGDZsGADAxMQE7969w/v376GtrQ1A9scOqfLly6N8+fIYPnw4unXrhuDgYLRr1w41atTAjRs3cv08fH19MX36dGzfvh07duzA6tWrxWWnT5+Gj48P2rVrB+DzDxN5fcSaoaEhhg0bhmHDhuHq1asICQlB//798enTJ3Tt2hU9e/aUGd2wevXqLGdUl8oqUc+Pf//9N8c5CoiIiIiIitI3PXs5ZS8hIUHuHtjHjx/D398fjx8/xpAhQ/Dff/9h586dmDx5MkaMGCHeT2toaIgqVapg48aNYjLSsGFDXL58Gbdv387xfm4AmDRpEtatW4eAgABcv34dN2/exJYtWzBx4kSF4x84cCDu3LmD0aNH49atW9i0aRNCQkJyXc/d3T3XGbBDQkLw+vVr2Nvb5yv+pk2bonz58ujduzeio6Nx8uRJTJgwQeF9y0xbWxuDBg3C6NGjceDAAdy4cQP9+vVDcnIy+vbtCwCoU6cOtLS08NtvvyEmJkbuWHz48AGDBw9GREQEHj58iNOnT+PChQuoWLEigM/D2c+cOYPBgwcjKioKd+7cwc6dO8WJ1KRsbGzQuHFj9O/fH+rq6jI9/eXKlcP27dsRFRWF6OhodO/evUCjEqpUqYIFCxbgyZMnCAkJwYsXL9CwYUPs3r1brGNpaQk7O7tsX9IfKbLz4sULREVF4e7duwCAa9euISoqSmaCuuTkZFy6dAnNmzfP974QERERERUEk+7vVEREhDgJnfQVEBAAS0tL7Nu3D+fPn0fVqlUxcOBA9O3bVy4hdnV1RXp6uph0GxkZwcHBAWZmZqhQoUKO23Z3d8eePXtw6NAh1K5dG3Xr1sXChQtzTZIyK126NMLCwhAeHo6qVatixYoV2U5Wlpm3tzeuX7+OW7duZVtHU1Mzx8fL5Ra/kpISduzYgQ8fPsDJyQl+fn5yM7PnxezZs9GhQwf07NkTNWrUwN27d3Hw4EEYGhoC+HzsN2zYgH379qFy5crYvHkzpkyZIq6vrKyMN2/eoFevXihfvjw6d+6Mli1bIiAgAMDnBDcyMhK3b9+Gi4uLOBlhVhPO9e3bF3FxcejevbvMUPoFCxbA0NAQzs7O8PT0hLu7O2rUqJHvfZZSUVFB69atERoaiufPn8vdx18QK1asQPXq1dGvXz8An384ql69uswIip07d6J06dJwcXEptO0SEREREeWFRPjBZytLTEyEvr4+EhIS5J7ZnZKSgvv378PGxibP9/JS8Rk9ejQSExPlZksn+lLdunUxdOjQLJ/Vnh1eF4iIqCA8N3tid7fduVckou9eTrlmZuzppu/OhAkTUKZMmQJPykY/ttevX6N9+/bo1q1bcYdCRERERD8xTqRG3x0DAwP89ttvxR0GfeNKlCiBMWPGFHcYRERERPSTY083ERERERERURFh0k1ERERERERURJh0ExERERERERURJt1ERERERERERYRJNxEREREREVERYdJNREREREREVESYdBMREREREREVESbdP7CQkBAYGBjkaR0fHx94eXkVSTz54ebmhmHDhhV3GERERERERPnCpPs7lF1iHBERAYlEgvj4eABAly5dcPv27a8b3FcWEhICiUQCiUQCJSUlWFlZwdfXF7GxsWId6XKJRAJtbW2UK1cOPj4+uHTpkkxb0uP35WvixIlfe7eIiIiIiOgHoVLcAVDR0dTUhKamZnGHUeT09PRw69YtZGRkIDo6Gr6+vnj27BkOHjwo1gkODkaLFi2QkpKC27dvY9WqVahTpw7WrFmDXr16ybR369Yt6Onpie91dHS+2r4QEREREdGPhT3dP7CshpdPnz4dpqam0NXVhZ+fH8aNG4dq1arJrTtv3jyYm5vD2NgYv/zyCz5+/JjjtuLj4+Hn5wcTExPo6emhcePGiI6OFpdPmTIF1apVw/r162FtbQ19fX107doV7969E+u8f/8evXr1go6ODszNzTF//nyF9lMikcDMzAwWFhZo2bIlhg4diiNHjuDDhw9iHQMDA5iZmcHa2hrNmzdHaGgovL29MXjwYMTFxcm0Z2pqCjMzM/HFpJuIiIiIiPKLSfdPZOPGjZgxYwbmzJmDS5cuoXTp0ggMDJSrd/z4ccTExOD48eNYu3YtQkJCEBISkmPbnTp1QmxsLPbv349Lly6hRo0aaNKkCd6+fSvWiYmJQXh4OPbs2YM9e/YgMjISs2fPFpePHj0akZGR2LlzJw4dOoSIiAhcvnw5z/upqamJjIwMfPr0Kcd6w4cPx7t373D48OE8b4OIiIiIiEgRHF7+hVWXViEpLemrb1dHTQf9a/ZXuP6ePXvkemDT09NzXGfJkiXo27cvfH19AQCTJk3CoUOHkJQku7+GhoZYunQplJWVYW9vDw8PDxw9ehT9+vXLst1Tp07h/PnziI2Nhbq6OoDPPeXh4eEIDQ1F//6f9ysjIwMhISHQ1dUFAPTs2RNHjx7FjBkzkJSUhKCgIGzYsAFNmjQBAKxduxZWVlYKHxMAuHPnDlasWIFatWqJ28mOvb09AODBgwcy5V9u8+HDhzA2Ns5THERERERERACTbjlJaUlITE0s7jBy1ahRI7le6nPnzqFHjx7ZrnPr1i34+/vLlDk5OeHYsWMyZY6OjlBWVhbfm5ub49q1awCAmTNnYubMmeKyGzduIDo6GklJSXKJ6YcPHxATEyO+t7a2lkmEzc3NxQnPYmJikJaWhjp16ojLjYyMUKFChWz3RyohIQE6OjrIyMhASkoKGjRogNWrV+e6niAIAD4PT8/s5MmTMnEaGhrm2hYREREREVFWmHR/QUeteO7fzet2tbW1YWdnJ1P25MmTQolFVVVV5r1EIkFGRgYAYODAgejcubO4zMLCAklJSTA3N0dERIRcW5nvKc+p3YLQ1dXF5cuXoaSkBHNzc4Unj7t58yYAwMbGRqbcxsYmz49aIyIiIiIiygqT7i/kZYj396ZChQq4cOGCzGzdFy5cyFMbRkZGMDIykimrUaMGXrx4ARUVFVhbW+crNltbW6iqquLcuXMoXbo0ACAuLg63b9+Gq6trjusqKSnJ/QChiEWLFkFPTw9NmzbNV8xERERERES5YdL9ExkyZAj69euHWrVqwdnZGVu3bsXVq1dRtmzZArXbtGlT1KtXD15eXvjjjz9Qvnx5PHv2DHv37kW7du1Qq1atXNvQ0dFB3759MXr0aBgbG8PU1BQTJkyAklLhzPUXHx+PFy9eIDU1Fbdv38bKlSsRHh6OdevWsVebiIiIiIiKDJPun4i3tzfu3buHUaNGISUlBZ07d4aPjw/Onz9foHYlEgn27duHCRMmwNfXF69evYKZmRkaNmyIkiVLKtzO3LlzkZSUBE9PT+jq6mLkyJFISEgoUGxS0snjNDQ0YGlpiQYNGuD8+fOoUaNGobRPRERERESUFYkgnU3qB5WYmAh9fX0kJCRAT09PZllKSgru378PGxsbaGhoFFOExatZs2YwMzPD+vXrizsUom8CrwtERFQQnps9sbvb7uIOg4i+gpxyzczY0/0TSU5OxooVK+Du7g5lZWVs3rwZR44c4XOqiYiIiIiIigiT7p+IdBj4jBkzkJKSggoVKiAsLIwTiRERERERERURJt0/EU1NTRw5cqS4wyAiIiIiIvppFM7U0EREREREREQkh0k3ERERERERUREp1qT7xIkT8PT0hIWFBSQSCcLDw2WWC4KASZMmwdzcHJqammjatCnu3LlTPMESERERERER5VGxJt3v379H1apVsWzZsiyX//HHH/jzzz+xYsUKnDt3Dtra2nB3d0dKSspXjpSIiIiIiIgo74p1IrWWLVuiZcuWWS4TBAGLFi3CxIkT0bZtWwDAunXrULJkSYSHh6Nr165fM1QiIiIiIiKiPPtm7+m+f/8+Xrx4IfM4K319fdSpUwdnz57Ndr3U1FQkJibKvIiIiIiIiIiKwzebdL948QIAULJkSZnykiVLisuyMmvWLOjr64uvUqVKFWmc36qIiAhIJBLEx8cDAEJCQmBgYFCsMREREREREf1svtmkO7/Gjx+PhIQE8fX48ePiDqnInD17FsrKyvDw8CiU9iQSifjS1tZGuXLl4OPjg0uXLuW5LTc3NwwbNqzAMT148EAmLmNjYzRv3hxXrlyR2ZZ0ubq6OiwtLeHp6Ynt27fLtZe5LemrQYMGBY6TiIiIiIgoK99s0m1mZgYAePnypUz5y5cvxWVZUVdXh56enszrRxUUFIQhQ4bgxIkTePbsWaG0GRwcjOfPn+P69etYtmwZkpKSUKdOHaxbt65Q2s+vI0eO4Pnz5zh48CCSkpLQsmVLsRcfAPr164fnz58jJiYGYWFhcHBwQNeuXdG/f3+5tqT7KH3t2rXrK+4JERERERH9TL7ZpNvGxgZmZmY4evSoWJaYmIhz586hXr16xRjZtyEpKQlbt27FoEGD4OHhgZCQkEJp18DAAGZmZrC2tkbz5s0RGhoKb29vDB48GHFxcQCAN2/eoFu3brC0tISWlhYqV66MzZs3i234+PggMjISixcvFnuTHzx4gPT0dPTt2xc2NjbQ1NREhQoVsHjxYoXiMjY2hpmZGWrVqoV58+bh5cuXOHfunLhcS0sLZmZmsLKyQt26dTFnzhysXLkSf/31F44cOZLlPkpfRkZGhXDkiIiIiIiI5BVr0p2UlISoqChERUUB+Dx5WlRUFB49egSJRIJhw4Zh+vTp2LVrF65du4ZevXrBwsICXl5exRn2N2Hbtm2wt7dHhQoV0KNHD6xZswaCIBTJtoYPH453797h8OHDAICUlBTUrFkTe/fuxb///ov+/fujZ8+eOH/+PABg8eLFqFevntj7/Pz5c5QqVQoZGRmwsrLC33//jRs3bmDSpEn47bffsG3btjzFo6mpCQBIS0vLsV7v3r1haGiY5TBzIiIiIiKir6FYHxl28eJFNGrUSHw/YsQIAJ+TpZCQEIwZMwbv379H//79ER8fjwYNGuDAgQPQ0NAosphWrQKSkoqs+Wzp6ABZjITOVlBQEHr06AEAaNGiBRISEhAZGQk3N7dCj83e3h7A5/urAcDS0hKjRo0Slw8ZMgQHDx7Etm3b4OTkBH19faipqYm9z1LKysoICAgQ39vY2ODs2bPYtm0bOnfurFAs8fHxmDZtGnR0dODk5JRjXSUlJZQvX16MW6pbt25QVlYW32/YsIE/5BARERERUZEo1qTbzc0tx95ZiUSCqVOnYurUqV8tpqQk4Ft/ytitW7dw/vx57NixAwCgoqKCLl26ICgoqEiSbulnJJFIAADp6emYOXMmtm3bhqdPnyItLQ2pqanQ0tLKta1ly5ZhzZo1ePToET58+IC0tDRUq1Yt1/WcnZ2hpKSE9+/fo2zZsti6davczPbZxS6NW2rhwoUyj6IzNzfPtR0iIiIiIqL8KNak+1uko/PtbzcoKAifPn2ChYWFWCYIAtTV1bF06VLo6+sXamw3b94E8LlnGgDmzp2LxYsXY9GiRahcuTK0tbUxbNiwXId7b9myBaNGjcL8+fNRr1496OrqYu7cuTL3Zmdn69atcHBwgLGxscKPPktPT8edO3dQu3ZtmXIzMzPY2dkp1AYREREREVFBMOn+Ql6GeBeHT58+Yd26dZg/fz6aN28us8zLywubN2/GwIEDC3WbixYtgp6entg7fPr0abRt21Yc3p6RkYHbt2/DwcFBXEdNTQ3p6eky7Zw+fRrOzs7w9/cXy2JiYhSKoVSpUrC1tc1T3GvXrkVcXBw6dOiQp/WIiIiIiIgKC5Pu78yePXsQFxeHvn37yvVod+jQAUFBQQVKuuPj4/HixQukpqbi9u3bWLlyJcLDw7Fu3Tqxh7lcuXIIDQ3FmTNnYGhoiAULFuDly5cySbe1tTXOnTuHBw8eQEdHB0ZGRihXrhzWrVuHgwcPwsbGBuvXr8eFCxfEHvSCSE5OxosXL/Dp0yc8efIEO3bswMKFCzFo0CCZeQOIiIiIiIi+pm/2kWGUtaCgIDRt2jTLIeQdOnTAxYsXcfXq1Xy37+vrC3Nzc9jb22PQoEHQ0dHB+fPn0b17d7HOxIkTUaNGDbi7u8PNzQ1mZmZyE5GNGjUKysrKcHBwgImJCR49eoQBAwagffv26NKlC+rUqYM3b97I9HoXxF9//QVzc3PY2tqiffv2uHHjBrZu3Yrly5cXSvtERERERET5IRGK6jlT34jExETo6+sjISEBenp6MstSUlJw//592NjYFOmM6ET0/eB1gYiICsJzsyd2d9td3GEQ0VeQU66ZGXu6iYiIiIiIiIoIk24iIiIiIiKiIsKkm4iIiIiIiKiIMOkmIiIiIiIiKiJMuomIiIiIiIiKCJNuIiIiIiIioiLCpJuIiIiIiIioiDDpJiIiIiIiIioiTLqJiIiIiIiIigiTbvpmREREQCKRID4+vrhDISIiIiIiKhRMur9DPj4+8PLyKu4wioW1tTUkEgkkEgm0tbVRo0YN/P333+LyKVOmiMtVVFRQokQJNGzYEIsWLUJqaqpMW25ubmLdzK9Pnz597d0iIiIiIqIfFJNu+u5MnToVz58/x5UrV1C7dm106dIFZ86cEZc7Ojri+fPnePToEY4fP45OnTph1qxZcHZ2xrt372Ta6tevH54/fy7zUlFR+dq7REREREREPygm3T+gyMhIODk5QV1dHebm5hg3bpzYe7tnzx4YGBggPT0dABAVFQWJRIJx48aJ6/v5+aFHjx45bmPnzp2oUaMGNDQ0ULZsWQQEBMj0EEskEqxevRrt2rWDlpYWypUrh127dsm0sW/fPpQvXx6amppo1KgRHjx4oND+6erqwszMDOXLl8eyZcugqamJ3bt3i8tVVFRgZmYGCwsLVK5cGUOGDEFkZCT+/fdfzJkzR6YtLS0tmJmZybyIiIiIiIgKC5PuH8zTp0/RqlUr1K5dG9HR0QgMDERQUBCmT58OAHBxccG7d+9w5coVAJ8T9BIlSiAiIkJsIzIyEm5ubtlu4+TJk+jVqxd+/fVX3LhxAytXrkRISAhmzJghUy8gIACdO3fG1atX0apVK3h7e+Pt27cAgMePH6N9+/bw9PREVFQU/Pz8ZBJ/RamoqEBVVRVpaWk51rO3t0fLli2xffv2PG+DiIiIiIgovziO9kurVgFJSV9/uzo6QP/+BW5m+fLlKFWqFJYuXQqJRAJ7e3s8e/YMY8eOxaRJk6Cvr49q1aohIiICtWrVQkREBIYPH46AgAAkJSUhISEBd+/ehaura7bbCAgIwLhx49C7d28AQNmyZTFt2jSMGTMGkydPFuv5+PigW7duAICZM2fizz//xPnz59GiRQsEBgbC1tYW8+fPBwBUqFAB165dk+uJzklaWhrmz5+PhIQENG7cONf69vb2OHTokNzxWr16tfh+wIABYkxEREREREQFxaT7S0lJQGJicUeRbzdv3kS9evUgkUjEsvr16yMpKQlPnjxB6dKl4erqioiICIwcORInT57ErFmzsG3bNpw6dQpv376FhYUFypUrBwDQ0dER2+nRowdWrFiB6OhonD59WqZnOz09HSkpKUhOToaWlhYAoEqVKuJybW1t6OnpITY2VoyzTp06MrHXq1dPoX0cO3YsJk6ciJSUFOjo6GD27Nnw8PDIdT1BEGSOCwB4e3tjwoQJ4nsDAwOFYiAiIiIiIlIEk+4vZUoyf9Tturm5Yc2aNYiOjoaqqirs7e3h5uaGiIgIxMXFyfRyR0VFif/W09MDACQlJSEgIADt27eXa1tDQ0P8t6qqqswyiUSCjIyMAsc/evRo+Pj4QEdHByVLlpRLpLNz8+ZN2NjYyJTp6+vDzs6uwDERERERERFlhUn3lwphiHdxqlixIsLCwmR6dU+fPg1dXV1YWVkB+N993QsXLhQTbDc3N8yePRtxcXEYOXKk2F5WCWmNGjVw69atAiWrFStWlJtY7Z9//lFo3RIlSuR52//99x8OHDiA8ePH52k9IiIiIiKigmDS/Z1KSEiQ6YUGAGNjY/j7+2PRokUYMmQIBg8ejFu3bmHy5MkYMWIElJQ+z5tnaGiIKlWqYOPGjVi6dCkAoGHDhujcuTM+fvyY4/3cADBp0iS0bt0apUuXRseOHaGkpITo6Gj8+++/4oRtuRk4cCDmz5+P0aNHw8/PD5cuXUJISEiej0NWPn36hBcvXiAjIwNv3rxBREQEpk+fjmrVqmH06NGFsg0iIiIiIiJFcPby71RERASqV68u8woICIClpSX27duH8+fPo2rVqhg4cCD69u2LiRMnyqzv6uqK9PR0cZZyIyMjODg4wMzMDBUqVMhx2+7u7tizZw8OHTqE2rVro27duli4cCHKlCmjcPylS5dGWFgYwsPDUbVqVaxYsQIzZ87M83HIyvXr12Fubo7SpUvDzc0N27Ztw/jx43Hy5EmZe9SJiIiIiIiKmkQQBCGvK927dw9ly5YtingKXWJiIvT19ZGQkCDekyyVkpKC+/fvw8bGRuZeZCL6efG6QEREBeG52RO7u+0u7jCI6CvIKdfMLF893XZ2dmjUqBE2bNiAlJSUfAdJRERERERE9CPLV9J9+fJlVKlSBSNGjICZmRkGDBiA8+fPF3ZsRERERERERN+1fCXd1apVw+LFi/Hs2TOsWbMGz58/R4MGDVCpUiUsWLAAr169Kuw4iYiIiIiIiL47BZpITUVFBe3bt8fff/+NOXPm4O7duxg1ahRKlSqFXr164fnz54UVJxEREREREdF3p0BJ98WLF+Hv7w9zc3MsWLAAo0aNQkxMDA4fPoxnz56hbdu2BQouPT0dv//+O2xsbKCpqQlbW1tMmzYN+Zj7LUeF3R4Rfb94PSAiIiKiwpSv53QvWLAAwcHBuHXrFlq1aoV169ahVatW4nOgbWxsEBISAmtr6wIFN2fOHAQGBmLt2rVwdHTExYsX4evrC319fQwdOrRAbQOAqqoqACA5ORmampoFbo+Ivn/JyckA/nd9ICIiIiIqiHwl3YGBgejTpw98fHxgbm6eZR1TU1MEBQUVKLgzZ86gbdu28PDwAABYW1tj8+bNhTZpm7KyMgwMDBAbGwsA0NLSgkQiKZS2iej7IggCkpOTERsbCwMDAygrKxd3SERERET0A8hX0n348GGULl1a7NmWEgQBjx8/RunSpaGmpobevXsXKDhnZ2esWrUKt2/fRvny5REdHY1Tp05hwYIFBWo3MzMzMwAQE28i+rkZGBiI1wUiIiIiooLKV9Jta2uL58+fw9TUVKb87du3sLGxQXp6eqEEN27cOCQmJsLe3h7KyspIT0/HjBkz4O3tne06qampSE1NFd8nJibmuA2JRAJzc3OYmpri48ePhRI3EX2fVFVV2cNNRERERIUqX0l3dhMNJSUlQUNDo0ABZbZt2zZs3LgRmzZtgqOjI6KiojBs2DBYWFhk24s+a9YsBAQE5HlbysrK/GObiIiIiIiIClWeku4RI0YA+Nw7PGnSJGhpaYnL0tPTce7cOVSrVq3Qghs9ejTGjRuHrl27AgAqV66Mhw8fYtasWdkm3ePHjxfjBD73dJcqVarQYiIiIiIiIiJSVJ6S7itXrgD43NN97do1qKmpicvU1NRQtWpVjBo1qtCCS05OlrtvXFlZGRkZGdmuo66uDnV19UKLgYiIiIiIiCi/8pR0Hz9+HADg6+uLxYsXQ09Pr0iCkvL09MSMGTNQunRpODo64sqVK1iwYAH69OlTpNslIiIiIiIiKgz5uqc7ODi4sOPI0pIlS/D777/D398fsbGxsLCwwIABAzBp0qSvsn0iIiIiIiKiglA46W7fvj1CQkKgp6eH9u3b51h3+/btBQ4MAHR1dbFo0SIsWrSoUNojIiIiIiIi+poUTrr19fUhkUjEfxMRERERERFRzhROujMPKf9aw8uJiIiIiIiIvmdKuVeR9+HDByQnJ4vvHz58iEWLFuHQoUOFFhgRERERERHR9y5fSXfbtm2xbt06AEB8fDycnJwwf/58tG3bFoGBgYUaIBEREREREdH3Kl9J9+XLl+Hi4gIACA0NhZmZGR4+fIh169bhzz//LNQAiYiIiIiIiL5X+Uq6k5OToaurCwA4dOgQ2rdvDyUlJdStWxcPHz4s1ACJiIiIiIiIvlf5Srrt7OwQHh6Ox48f4+DBg2jevDkAIDY2Fnp6eoUaIBEREREREdH3Kl9J96RJkzBq1ChYW1ujTp06qFevHoDPvd7Vq1cv1ACJiIiIiIiIvlcKPzIss44dO6JBgwZ4/vw5qlatKpY3adIE7dq1K7TgiIiIiIiIiL5n+Uq6AcDMzAxmZmYyZU5OTgUOiIiIiIiIiOhHka+k+/3795g9ezaOHj2K2NhYZGRkyCy/d+9eoQRHRERERERE9D3LV9Lt5+eHyMhI9OzZE+bm5pBIJIUdFxEREREREdF3L19J9/79+7F3717Ur1+/sOMhIiIiIiIi+mHka/ZyQ0NDGBkZFXYsRERERERERD+UfCXd06ZNw6RJk5CcnFzY8RARERERERH9MPI1vHz+/PmIiYlByZIlYW1tDVVVVZnlly9fLpTgiIiIiIiIiL5n+Uq6vby8CjkMIiIiIiIioh9PvpLuyZMnF3YcRERERERERD+cfN3TDQDx8fFYvXo1xo8fj7dv3wL4PKz86dOnhRYcERERERER0fcsXz3dV69eRdOmTaGvr48HDx6gX79+MDIywvbt2/Ho0SOsW7eusOMkIiIiIiIi+u7kq6d7xIgR8PHxwZ07d6ChoSGWt2rVCidOnCi04IiIiIiIiIi+Z/lKui9cuIABAwbIlVtaWuLFixcFDoqIiIiIiIjoR5CvpFtdXR2JiYly5bdv34aJiUmBgyIiIiIiIiL6EeQr6W7Tpg2mTp2Kjx8/AgAkEgkePXqEsWPHokOHDoUaIBEREREREdH3Kl9J9/z585GUlAQTExN8+PABrq6usLOzg66uLmbMmFHYMRIRERERERF9l/I1e7m+vj4OHz6M06dPIzo6GklJSahRowaaNm1a2PERERERERERfbfynHRnZGQgJCQE27dvx4MHDyCRSGBjYwMzMzMIggCJRFIUcRIRERERERF9d/I0vFwQBLRp0wZ+fn54+vQpKleuDEdHRzx8+BA+Pj5o165dUcVJRERERERE9N3JU093SEgITpw4gaNHj6JRo0Yyy44dOwYvLy+sW7cOvXr1KtQgiYiIiIiIiL5Heerp3rx5M3777Te5hBsAGjdujHHjxmHjxo2FFhwRERERERHR9yxPSffVq1fRokWLbJe3bNkS0dHRBQ6KiIiIiIiI6EeQp6T77du3KFmyZLbLS5Ysibi4uAIHldnTp0/Ro0cPGBsbQ1NTE5UrV8bFixcLdRtERERERERERSFP93Snp6dDRSX7VZSVlfHp06cCByUVFxeH+vXro1GjRti/fz9MTExw584dGBoaFto2iIiIiIiIiIpKnpJuQRDg4+MDdXX1LJenpqYWSlBSc+bMQalSpRAcHCyW2djYFOo2iIiIiIiIiIpKnpLu3r1751qnMGcu37VrF9zd3dGpUydERkbC0tIS/v7+6NevX7brpKamyiT/iYmJhRYPERERERERUV7kKenO3OP8Ndy7dw+BgYEYMWIEfvvtN1y4cAFDhw6Fmppatj8AzJo1CwEBAV81TiIiIiIiIqKsSARBEIo7iOyoqamhVq1aOHPmjFg2dOhQXLhwAWfPns1ynax6ukuVKoWEhATo6ekVecxERERE9PPy3OyJ3d12F3cYRPQVJCYmQl9fP9dcM0+zl39t5ubmcHBwkCmrWLEiHj16lO066urq0NPTk3kRERERERERFYdvOumuX78+bt26JVN2+/ZtlClTppgiIiIiIiIiIlLcN510Dx8+HP/88w9mzpyJu3fvYtOmTVi1ahV++eWX4g6NiL5Vq1YVdwRERERERKJvOumuXbs2duzYgc2bN6NSpUqYNm0aFi1aBG9v7+IOjYiIiIiIiChXeZq9vDi0bt0arVu3Lu4wiIiIiIiIiPLsm+7pJiIiIiIiIvqeMekmIiIiIiIiKiJMuomIiIiIiIiKCJNuIiIiIiIioiLCpJuIiIiIiIioiDDpJiIiIiIiIioiTLqJiIiIiIiIigiTbiIiIiIiIqIiwqSbiIiIiIiIqIgw6SYiIiIiIiIqIky6iYiIiIiIiIoIk24iIiIiIiKiIsKkm4iIiIiIiKiIMOkmIiIiIiIiKiJMuomIiIiIiIiKCJNuIiIiIiIioiLCpJuIiIiIiIioiDDpJiIiIiIiIioiTLqJiIiIiIiIigiTbiIiIiIiIqIiwqSbiIiIiIiIqIgw6SYiIiIiIiIqIky6iYiIiIiIiIoIk24iIiIiIiKiIsKkm4iIiIiIiKiIMOkmIiIiIiIiKiJMuomIiIiIiIiKCJNuIiIiIiIioiLCpJuIiIiIiIioiDDpJiIiIiIiIioi31XSPXv2bEgkEgwbNqy4QyEiIiIiIiLK1XeTdF+4cAErV65ElSpVijsUIiIiIiIiIoV8F0l3UlISvL298ddff8HQ0LC4wyEiIiIiIiJSyHeRdP/yyy/w8PBA06ZNizsUIiIiIiIiIoWpFHcAudmyZQsuX76MCxcuKFQ/NTUVqamp4vvExMSiCo2IiIiIiIgoR990T/fjx4/x66+/YuPGjdDQ0FBonVmzZkFfX198lSpVqoijJCIiIiIiIsraN510X7p0CbGxsahRowZUVFSgoqKCyMhI/Pnnn1BRUUF6errcOuPHj0dCQoL4evz4cTFETkRERERERPSNDy9v0qQJrl27JlPm6+sLe3t7jB07FsrKynLrqKurQ11d/WuFSERERERERJStbzrp1tXVRaVKlWTKtLW1YWxsLFdORERERERE9K35poeXExEREREREX3Pvume7qxEREQUdwhERERERERECmFPNxEREREREVERYdJNREREREREVESYdBMREREREREVESbdREREREREREWESTcRERERERFREWHSTURERERERFREmHQTERERERERFREm3URERERERERFhEk3ERERERERURFh0k1ERERERERURJh0ExERERERERURJt1ERERERERERYRJNxEREf1fe3ceZkV54Hv8W1Vn6dM7Dd3sm7gALigIqBiUuJEYb5hJMs7MkwzKaHQGHJUxGfXeiUkmN0yuGp2rDurcKJNMDGY0iktioigguICNyiKLLdC0vdBN7326z1p1/6g+p8/pDRSa042/D089tb1V9Z5DH5rfed96S0RERAaIQreIiIiIiIjIAFHoFhERERERERkgCt0iIiIiIiIiA0ShW0RERERERGSAKHSLiIiIiIiIDBCFbhEREREREZEBotAtIiIiIiIiMkAUukVEREREREQGiEK3iIiIiIiIyABR6BYREREREREZIArdIiIiIiIiIgNEoVtERERERERkgCh0i4iIiIiIiAwQhW4RERERERGRAaLQLSIiIiIiIjJAFLpFREREREREBohCt4iIiIiIiMgAUegWERERERERGSCDOnSvWLGC2bNnk5eXR0lJCYsWLWLPnj2ZrpaIiIiIiIjIURnUoXv9+vUsXbqUd955h1dffZVoNMqVV15JMBjMdNVEREREREREjsiT6Qr055VXXklbX7VqFSUlJZSWljJ//vwM1UpERERERETk6Azq0N1dc3MzAEVFRX2WCYfDhMPh5HpLS8uA10tERERERESkN4O6e3kq27a57bbbmDdvHmeddVaf5VasWEFBQUFyGj9+/AmspYiIiIiIiEiXIRO6ly5dyo4dO1i9enW/5e666y6am5uTU0VFxQmqoYiIiIiIiEi6IdG9fNmyZbz00kts2LCBcePG9VvW7/fj9/tPUM1ERERERERE+jaoQ7fjONxyyy0899xzrFu3jsmTJ2e6SiIiIiIiIiJHbVCH7qVLl/LUU0+xZs0a8vLyqKmpAaCgoIBAIJDh2omIiIiIiIj0b1Df071y5Uqam5u59NJLGT16dHJ6+umnM101ERERERERkSMa1C3djuNkugoiIiIiIiIin9ugbukWERERERERGcoUukVEREREREQGiEK3iIiIiIiIyABR6BYROVqPP378j/u85xQRERGRIUGhW0SkPwrFIiIiInIMFLpFREREREREBohCt4hIpqgVXUREROSkp9AtItKbTAfiTF9fRERERI4LhW4ROals2JDpGoiIiIiIdPFkugIiIkNWLAYdHdDeDr/4BSxa5C63t3dt7+iAjRshGoVw2D3ONCErC957DwIB+F//C265BZ5/Hm66KZOvSERERESOM4VuEZEjiUbh3nvh8GG44QYIBuGss9ztCaWlEImkH1da2rVcV9fzvIcOdS2vXAnbt8PIkXDaae65H38cvvvd/uuW6IZ+pHIiIiIikhEK3SIivXEc2L8ftm6F2lp49930/e+8A7NmpW9LhOxZs9IDN4DPB++/7y7PmeO2gPd27AcfuNP770NxsVv2jDPcFnERERERGXIUukXki617a7LjwEcfwfr1UF0NlZUwalT6MaYJ2dluKP/KV9xA3NTkBmufD/7yL93u4z4feL3udPPN6a3Sjz0GV1wBbW3Q3Az19W5LeoJtuy3hzz/vXu+UU2D6dDeA5+QM9LsiIiIiIseJQreIfHGljhDuOLBrF6xb57Zst7Z27QsEYPx4t+V52DB33TDcfS0tbshO7So+dSoUFfV9rccfd4/PynKnESNgyhSIx+HKK+HBB93toZBbfssWN4SXlbnHTZoEe/bAXXf1/prU1VxERERk0FDoFpEvNseBjz+G1193W7ahq6v3+PHuPD8fzj2373Mcr8d7WZYbvs8+271nvLERzjvPbXlPre/+/e793z//OezbB6NHu63lBQXpdUqEbwVxERERkYxR6BaRL5ZEAHUct0V7796usA1u4B42DE4/HZYsgf/4j8zU0zDc1vKrroIDB+BrX3Nb4j/6CBoa3DKO4y43NMADD8DYsW5reDCYmTqLiIiISA8K3SLyxRIKuYOivfdez8HRRo92By4rKXFDb6YCd3eG4QbqsWPhssvcruz/5/+4XcwTEq3zu3a53dNratww3r2bu4iIiIicUArdInLyCwbdMLpjB7z6aldLcUJxMSxYAG++6T6y61gdr+7mqedKtNAbBrzwgnvf+NSp7r3n1dXulAje0ajbOr54MXznO+4gbyIiIiKSEQrdInJysm03aH/4odvl2rZ7likqckcF/7u/c0cI37jxxNezu88a2PPy3On0092R0A8ccB85lvDRR24YHzkS5s1z7xlPDAInIiIiIgNOoVtETi6O4wbt9et7tmiD+7it+fPdgcqef97dZpontIqf25EGRMvNdV/X6adDebk74FrC/v3uNGqU+xzxs87q89nfG779OPP/SwOviYh8HuVrr4K/ynQtRGQwUegWkZNHYyMj978Dz1Wnb8/Ph4MH4c47Yc0a+PKXM1O/4+FoWsJ9PjjtNLcVf84c2L27a19NDbz8MrzyCkyeDKee6s6Li3t++ZAS8lMvq4HQRY7dNb+5hhf/6sVMV0NERE4AhW4ROTl88gn893+T1XYYmOhuO+UUuPhi9z7u6dPdVt5E1+ruz80eojZsSF//0pfAdgxicYOY7SG+cRvx2VdiXHQh5lsbMasrsW1wtr2PUx/H2VKG40Dc8hIrGklk+Gia9jey8x8eI5xdyDN3w9e/DrFn13Bgxtexbfje99x8blnwrW+B1wsejzv5fOD3u1Ni2bL6fw16opmIiIiczBS6RWTo27oVXnqp677tggK45hq3FReGzD3McdsgGPYQjHhoC3kJRrx0RCzCMYtQ1J13X97zsUHcNok7BrZj8kazwYHynq934rp2mHUjudQwsm4bJdXN+GMpBarKgXIYMwa7rIqPy9zNk4oPcXDvSFo+bqI1shu7rp6qyfOSh/l8R35diTBeWtoVzq+8siuU79wJb7zRFdb9fsjK6jl5jvAbq3t4T3yXokAvIiIimaTQLSJD2/vvu6N5d2rPHwl///duchtETai2Da1hL80dPpra/ax/20db1E9bxEcw6iMU8zBqXNc/yeXlMHFi3+crL+99u9NfJUpLaZs1i7bcUXzSWERZZAKjg2XMHlNJ3uEggUhzj0NyIw1EtzUwNVjFhMpqspuraGl8iU/GXcKh7Ml8uHkSM+b4e7sUs2a5y7GYO7W3d+1fvbpreUR5KT/fNyu5PqtrMY3H0xXAuwfztWvdFvctW9xb1XNz3XHl/H73Nv8h8r2LyBGpW7qIyNCj0C0iQ9cHH6QFbi64gN++uop7/D1DIDDg3cgdB9ojHg63ZfWYmjt82I7RZ1hOlSiTmPcWvg0cPKaNZdpYhtM5twnWOZTkOFiGu26ZDpbhcNY4B9Nw2LXuFSrPXsjXptTSZJxPzCjhXRO+PtGPxw7jb2+kIZRNdrSRnEgTuSO8DP/0A8wCaBo7hmFGA9DAhIAfO/4OdptJ07tjseqqGfmP3+G3b40jaluMGePeVh4OQyTizn0+N3z3NpB8qtTA3j28t7W5U3effOLOf/xjdz5rVtcT1B5a/ytuvug75Oa6YTwx4Hv3KRAYnOH8mt9cAzCog9ZnCYKf5fUcTVmFUJfeh3Qn4v1I/HzC4P58ikjmKXSLyNC0bZs7KJrT2bZ74YVun+Wf/OeAt3DHbYPGdl9aqK7vnHdE01urof8WawCPaRPwRBk/LEqOP0ZWa5QsT5SAJ4bfE8NnxPFZcbxWHK/ZuXy2/ZkC4vzz3Pu/LxoHND7O/PkQ2JD+JUSscxpxaiFQiAPs+9KNZL/2AL5QC21TLmJ0exm+jmaiee4xI8q3QNMW93XuieGp8NE2fCItI06hrXIiS5aXJPuFJwZLP23df7DzohuZvGEVu+Zcx8RNu9kza1ayRTwadR8/Ho3C+PHu48hDIXd6/XWYOdNdhq5g3V3q9sayM1jbkb6/e2t6aal7n/qCBX2H8sTk9w/OcC4in13MjhGMBGmPthOJR9KmcDxMJB4hGo9iOzYOjjt33PmhtkMYhoGBwRv738AyLTymh3ZfOdsPbSfLk0XAGyDLk+UuewJY5hEGuRCRk5JCt4gMPdu3w3PPdQXuuXPdwJ2ahPpr1T7KFu9Q1EqG6tffymLMKe5yQ9CP7aSnrtQW7O4hu6oiTp4vTK4vwvQRYXK8EXJ9EXebN4LPirtVt4EOGDPuqKp3Qkx98z+I+XOJ+XPJO3yAmtPmY8YiVE6/nPy6fRTU7MEbdpueS0vBIkJB7ccU1H7MiPJStmyaQyivhGDBGIoLRtGRW4zXDvP4Bw/zsM9Hfj6MzAnSWNJ3HVpa3PnNN3cNsG7bcN118Oijbjj/xXv/iR23uHbat5Mt66GQO/fUt/PeoU2cP3Jen9dInLOpyZ16k2h193ohO9v9EqGvKTs7vft7IOC29PcV1s+54WEAtv2/Zf3W8US0evd3jaHQ6n48nOhW4+7XG6jrf9a/v6HWeu44DqFYiGA0SEe0g92HdycDdeoUjHZti8QjyeOf2v4Uf332X/PU9qcA+Ouz/7rf6zWFmpLL68vXJ5dbs3by7K5ne5Q3MMjx5ZDnyyPPn0e+Pz+5XJhVyLCsYRRkFWAaQ+QxliJy1BS6RWRo2bYtPXDPng0LF37upkfbhuaOrlbr+qA737wti46YN63s9jp33lfLdY43QoE/RHZbiIKsENNOCVHgDxHwRDPeMtp9lPPu65+F7fExeq97gqozFmBFO8hqPUz92HM4dfNTNI49ixHlblOzacfJbq4mu9l9jFti++KAh5FWIcGi8eTWHyCn4SCh3GL+7YNfALBsTs/wmfpdiWnCL38JT+xww6qvs+V9/Pie9S21dgBw9fnz0sJ4KASXXw7PPOM+MS0cdsPy/as3A/B3/2NOWov55srNzJo1h2jUbXFPbEuUPRLD6Dk43P8t/Rk/uOyfaP10PKYVZ/PmnmWi7QEsXzT5I38sTlSIOh5dyFO77h6PUDqQr/3zhNnUeW/7jvZ6R1u+r/d3sIZqx3GI2lFCsRChWIiOaEcyMCeCdPfl9mg7tuPev3Kw+SCrd6w+wlVciZDdfbl7mSOF8CO+JhzaIm20RdqobqvutYxpmMkAPiwwjKJAEcOy3HlRoAiv5e31OBEZ3BS6RWToKC11RylPpI/zz4evfrX/wN2Z1KJxo9d7revbsojZPVsVOmI9NgFgGTYth0JceF6IEbkhDuwOUZgV4ktnhvFaR7hZ+SQV9wYIFo0nq+0wn067Am+4lYYxZ+HraKIjt5istsMY3YZ4m1X9MVmFkynZ/y7DK7czddMTAPxN7Yc0ZOUxLvsVOvJLCOUW05FXgu3teZ++4zg4xFm0ZxO24fD8GXNpt5uwiWM7cRzi2MSJWA0ANNgHwOvgeB2sPIdsHDbtdhh9loODAzh0OA7557+IHfXR5Clg/AyTcNgkEjKxIh/z4b4xhEMWMY9JLGoSM91W/vVbDnerncFZZ3bbYhjQnlrCoHzTXP7tk0Za6woA+PWzjezY4f48n322W+69V5cCcMfuJnZ/cg2mN8LP6ho6B5Rz8Gc5ZPkhK+AQCLjzrCyns9XdISvg4PUaGAaEY2EOtR1y37/OvxP3fXSS846o2xf/YPPBHvuCkSAAZQ1lafvaIm3sqtuVPG9ruBUHh+2Htve4TnPIHbCvtKoUByfZWri5cnPaORs6GtL+rt8sfzO573D7Yd7Y/wYO7vJr+17r9bWkzg+1HeKlvS/1WSb1+KrWKn6787dpZRKvrbfjK5orAHjy/Sd7nLM3B5sP9tj2i62/SNuXWE9lGiYVzRXuzxJuEKxsqUyuP/vRs5iGmTYZhkFtsJY/ffIn6oJ1GIbbFbq+vR6AjQc3YmAky5qGmVxvDjXzQc0Hfe43DCPZ1Trxuntbth2bmB0jGo+6czuathyzY4Rj4WTADsVChOPhZIA+3gwMAt4AOd4csr3Z5PnzsAyrx/v2jWnfwGf58Fpe3jz4JkvOW5J87aZhsqliU/Lv+jvnfIeYHSPuxPn10yEWnrow+WVBKBaiI9ZBMBKkNdJKW6Stz9dmOzYNHQ3uz39jz/35/nyKAkUMDwxPBnEFcpHBT6FbRAY/x3GbZt94o2vb7Nm9Bm7bMTjc5qe2JcCh1gC1LQFqWwM0BP049Aznfd13HfBEKfC7LdUFWaHkcq434l4y6E5Thh3flzpYvHHAfa8XTFrwmco4BrRnZdMc8BE3Sth14TexY20EmqvJaq1hUmgvvnAbdZEI2Z4GGmMHCHvr2HzoJcBhYmsdFkVE9rZiEifLsaGylDafSWjafJpyAzTlBGjKySKY5aMu7wPenOwGnsN5QdYG3RC8uXIzc8a6rc+NOW5r9Nsddo99qcsJLblu8/YngTgEurbHvZt5i18n12ePmYNVsRUn5mN7zM85w+dgRz3Eo152VH1MR/PZyXU75mHcGA+xiDsdPODBcQw6fJV8GoUOXyUAf3i/63rvrHe30flYthe3OFS15gA5/MHaxvZD2zl75Nm9/t1UVXUtjxkDpmXj8Uf54PBF3LTzbTy+KF5/DI8/iscbx/LG+dOBl7h66pWU7bMwPFEe/NMzWB53n2nFsTw2Fc2fYhjwX9v+K+16lS2VPL3z6a7rt7oVSHSxTe2uW9NW476evW4La+JLgN9//Pu0cnXBurRrrN2/Nrlc316f7M5b317PxoMbk9dJ7R7c3XtV76Wtd+9GnHrcR3Uf9XqO3lo826PutynlzeU9yiakHpP4YiNVRUtF2r6fbfpZ8rjUeiauBbC3fi9tka6RBbfXbu+1a3RjRyPLft/Ve+Sml25KLi9Zs6TPFtyathqe3/38Ub2m/hxNK3Fv9T7a1mWP6SHbm50M0Tm+HP5Q9gf+9MmfsEyLx7/2OLf84RYs0+K5a58jy5OV7MJ9zW+uYUzemF7Pe/frdyd7AmR7s5lQMCFtf5YnK7k8pWhKcjkQHccF4y7os762YycDeGu4lZZwC02hJho6GmgMNdLY0Ug4Hu712JZwCy3hFg40HeixT4FcZPAaEqH7kUce4d5776WmpoYZM2bw0EMPMWfOkbvyichJoK0NXnwR9uzp2jZvHs5ll9PSYlBbS3I6dAje/HQRxhtT+jxd6qO4Dh50KPCHKfCHyG9PD9j+6fEBfmHHz9EE5N7EsYkZMaJG3J0TI2bEiRoxDuU2ETdsdmR9QsyI896hUuKmzfSRZxI1YsSMGNvH7CNu2tQXOJ3niVHW/AkODpMLJ7sX2fU6hyfOonXvM+TN+CYjprUCsL/JR1a0kcLwW0yfUkL74Wo6vAVkxSPEzCDtdiPZzVVYQNSK44/HyaurprgOKlsrGQOMzRvLrLZKciOttHtNzqj3MLrlYzr8PoLNLRxqWkebz8Lv8xC2zGRX8O66h/C+9nVnGGBYMQwrBv52dob+mCzrM3eyn50Aacd7gK2Vm3GmA7aH7JiXScUX0PDpTpyYl9HDZ7K9ai9O3Is31wdxH07MnbJyCzAjbTgxH1VVEGotoqrzx3RMSmZIBO7K1s7QXjWWesutS6jpNJqyC9l+aHvnehFZhYlHxV3Gb7fHga8BsPVAV6BPBPyqPadgmHE27hhNdbWNYcWZNNmmZkchH1ZNxPS44bzt08swrBifhE/B8th0lM/EsGJUZ40iXHUahhWjcfgwXih7BsMajuGJEunw4cS8YEV7fb+P9j7bvgJ3931HG+76C/K9HXe09TxaR/t6jqZux1qH3s53tGG5+3ufelxi2TAMsr3ZyYHHcnw5TC+ezr1v3YtpmNx/5f1pwToRtH2WL9naD26QLsnpGihiWvE0Al73G7Rsb/YxvRep1+h721X9HmsaJnl+915u8nrudxyH9mh7MoAnWr4bOhqo76hP++Il1WcN5MOzhzMsa5gCucgJMOhD99NPP83y5ct59NFHmTt3Lg8++CBXXXUVe/bsoaSkn5F3RGRoC4dh61acdeuJtoZob4e2doPyKZexu3wetT8zCPfSEGA7PbuKV1bYFPg7GJbVwaxRIQpwg/UlZ0awzONwo+xx4OBg42BjYxs2cWxsw12PGXHixN250Tnv3B4z4pQX1mEbNrnZHxGjq4y7nH68G5jdeX/dX/fH3Va3SLbbzHqw0G119PkrkmWas9yuxq1WMO11dDeivJTWXq4R8prUeH0ECoexP6sJsPmwZDjlBWO5LH8aE8tiFLZHCdd3MKwjjtfIwsBkbGsQHAgU5OONNzCi3W0Z9MRh5qHdtBafyuj6DsDonGBsy2F2Fo8n6PMR9HqZEcomlJVLpLqIoNfHuaPmEPVn81Goc9Q2DM70L2RXqJUz/QtxcPgo1Erqk9Cn+a/go1Dqs80dpvovw3EcPgo3Jd+LM3wLUt4Xh53hhrTznDl8JmV1B8EPMyedRkVoJw5Ruvqiu2UXTD2T1j3bALjq1NG8sPtdFkz6H8RiBrGoRSzqzkcUWkQjJk3lzTgxL+NHFFJfORwn5sXr+AgeGo3fsxcDg3i8gHi927U9Z5R7j2mwxk3w409zb5A3DIOyhjImFkzkw1g7YBA8eBoFAFGDht1gNXoYFpoOwJ49Bh6v2/rqz/6ye459bi8Dx1mIU+YDDEIdC7HL8hNvN411XyVSNhqAhuqvEvtkFKbH/VIjObfiFOUswf9xnPElN+H1Qm51M2ed9l18fvh9cyWWJ45hxjGsOIZpY1rulwMYbou9aTkYZpybzlvKWxVvJzvL/MPcf+DtT9/G6PyZWX7hcgwM3q18lzsuuoN3K99N7rvz4jsxMNhStYX/+aX/yZYqdwT/f57/z8nW9HsuuYfS6q5BAX546Q+Ty6nbE13X77nkHqBna3yqf57/z2yp2pLW3T31HInXkFi/adZN2I6d7AnQvat8wl+c+Rc9uoM7jsPa/Wv52ulfS3bfv2rKVby679XkNb88+cv86ZM/YRgGV5xyRbJb9mv7XuPq065Odkd/ff/raV3Trz/3ejZVbMLA4Na5t/Ju5bvJfd+f9/1kvV7c+yJ/ceZf8KttvwLg4gkX9/nenEwMwx1wLceXw7j8niNrhmIhN4C316eF8YaOhs8VyHN9ub0O7paY53hzCHgDeMxBHxtEBq1B/+n5+c9/zo033sj1118PwKOPPsrLL7/ME088wZ133pnh2onIsbBtaG+HYBCCrTahysNEKqqJ7ynD2rubSGuYjhDE4xDxBNg5dRH1bVOgLdrrfZWG6WBlNdDW4iUvECQ/K0heVhtnzOgA0+mMtG64bTQcGtwjsXFwjMTezgBs2Ml94GAbR1fWMRy21W13txkOZ4yYmhai48SxDffouGGT/GPYyf8C72/an/Y+TS6Y3O/7uL/I7a57IPRaVwtzX2U7z91fudTr72/a36Ns6n7TMfA7XjyOB69jkR/OxrJNWtvrmTHiHDyOhcexsJvaOH9XGxbT+aDqA6bZ4zAdE8sxMatgljMF03bXLzpoYNnVxJxxNGCAdQrBHIdXRs5iWKiNb1RHCcTC5I/7S9raXmBYxx588Rgj22I4xMit3cm5nfXbNcLtDlrc3sHIYC7Tyg+ya8QE7Np1+IBFneWmrfs+u0ZM4FbTIuTx0eHxEfpoJdd4vDTv+yUhy8scj4+w5SVqeYiaFucEJ/Fucwkx0yJmWjiGwVTOB9Pg9fatYLh3sp/u/VJns7gb2HLDO9Pez7Uf7iKXMzqXd5PL1F7/Xt748GPymAbA+h1lFHA6b5ft7lFu2ZxlPLz5YUaNBghz7Zxzqdu8Mbl/yayv8/Db67DjFnnZ9ThxC8e2cOx8HNskqziMY5sMYwqxmPv5M1vL+PLMyazduh/HNilvOsi8cfOJx2FT+Tv4nCJeXl+TUouzADhkj+vsPeCur6n4lILJbpfcqr2j8fu67tX/3evlFEx215/+YzkwM+11FUwuwwYefvkNYBoVu9yAXvnKX7HD535R0LT96Ht7XPLyq8BizM5wPu/lF8H4S3f8AQP+X20+hgEH3/9znqjPpWLrIsD9d2b22icwDAeMr7Aq6OXTLQsBh/8MWXy6+XIwHGa++QAYC8BwMAyHmW/d6x5vOGBcDEbisX8OGA5rsg1ME2q3zun8vsjpLE+y7BslFg07z3X3dZ7XSC7b7P2wiOD+MzFM99iastEYBkSrpyXrjmG7Xx2YdnJboG06huEOUGgYcP0Li92B/4xJ3P3Cg2QbEzEMhzNyLiTPHp+sz4rX/y+F1hgwbP73uvvc+pgOhf4ifrT+x8kvNAqyCtJ/Rv+wLNk1+2+e/5u0MDcQA95d85tr3KFAHJNYzP3d4zjuPBbKcj8DcQvbNnHiHnc5buLYFtu2uY8ybCw7jXk/+l7n58XEsWeAY7rLjsGc0h/j2BfgAC3lk3npJff9NE2wLHfyeNzJ6/1syx5P15MbwO3WPiZvTK/d4juiHWkt40cTyI80uFuCz/KR7c0m25tNwBNI9krwe/z4LB9+y5+27LN8+CwfHtODx/QkH6nmMT1YhpXWO0HkZGc4ia88B6FIJEJ2djbPPPMMixYtSm5fvHgxTU1NrFmz5ojnaGlpoaCggObmZvLz8wewtp/fs+v2srG0+yA8fXOc1DaSI5ZOOe7I/7il/TgcTfluNfk8P02JY8ZWf8zIuq7BZfo6lYHTa916a2FLDt7Uy8lSNxlH2J9a0e4DQqUXMZJ16a9c91piH13ZxDmP9D53v3Z/H/Pu72SyPc7pXs79wXPSfqac5BFO8pjOKOokyrvbHNsgHjewbbDjpvsfGsfBF4vgj4Xwx0OYfdSzrOhUtow5n3DK/XP+nBC5w4JkFwbJHRYkZ1iQ7IJ2Nvznb9OOPVII7U/3gNpbYO0RkAsnp2072uunhtvu5+ztmn2V7X79BAOD0wpOpbzhAJZtMn3YNMoOf4xlm1i2mQzAifVelx2LS8bO5+3yt7Acwz2OE/dom2enuo/8+sbuTQCM/pvf8PDmh/nG7k0Yjo0vHsMXj+GPR5NzfzyGLx5NLlt2nF0jJjDt8MFkIAeYdtj9tyd1W3fdj/m8kp8xI/HvhZG2PRHW08uQVpbu21OPSZwv+eE2emzvXqb7eAc96mb0X8b9/BtuAMEE28B23GXHNnAcN5g4jtU5N7vmttm57k526rbkvq5eCwmnFp0KuIO69Se7xP0yoL12VHK5L+21o5LLV57vnn/jwY1cPOHiZGtx9/LZJTXJ43o7f+q+7stHW7f+zp+qr3pmipH45dr5JYABPX/pAN1/41466VIA1pW/kbbdAC7tvI1m3YH0fckzOQY4nZ+HzuXkdrpaywfyfWqvHZX8+fksaovPpK7kzF73HU1oT82wveXZaDziBuxoWzJoB6NttEfbCcdC2In/55ygLJw6cJ1lWhiJP4aRfP559/XEce7c/Xchsb33eqdv7B70ex7SfX8vJfRdwQn11S+N4Yo5kzJdjT4dbdYc1C3dhw8fJh6PM3LkyLTtI0eOZPfunt/uA4TDYcIpfU6bm92ufy2JB70OQjv31rCltLfOl18snuqDFB3u/e9Vhh6j2xzA6qd8957iUdPDwWET2D9hEuHiLAryK8guCJJd2E5OQRCPr+fIr9EQxCLp92JHIr3fH3o0EudKnKP7euq21OulbkuUNTDcVl1MTMfAxA2xJu5yoM1PgS8XyzE53BxwyzjufyZMx2SyORYLA49jEatpZYZzGhYWVnUI0zY6y5tcFJ3N5k8d91qJYOwYGJjMn/glNpS/CcB8ezbeg6HP/J54wxaEwR0bPA6cuHvfr96xDoBErcev/TeuLn8zud6BAZbXnfpg2nH8doyW4ePwxqLJgF7uz8FnxylurMYTj+G146QGgT3DxxG040yo3Z9c7+6M+k+T+xLLqcf3tj9xnjPqP01uTz139/W+tnePpKn7+zrH8dLf+Y94bYP+/2Ho5GaBzjBlu/Oz81pxHDDadnSFK8dICeidy7V0hrAaqDHcLwNTz5eyDPXJawa3ub+Xi1saaGt8n+KWxm51MoAmOAAjOio4HMiHA73VvvMWhAO9LB9IKdPrsb2do59Sh99nRFtz/4WOI39BI+HmYT2WE+sJvW1PPa77usdwRxQs+ri9xzUs3H2jaivT6hJuHtbvNRPr2V73+LGNB3qU6+s1Hun8PV9/M9nVn/3/dYY3l3BBL889PK48QCFQiB/wA0W4X6JH4pHkFI6F3WU7khx5PmpHicXdEecHTteX+SIAU8aZzJ1alOlq9CmRMY/Ujj2oW7qrqqoYO3Ysb731FhdeeGFy+/e//33Wr1/Pu+++2+OYH/7wh/zoRz86kdUUERERERGRL6iKigrGjev7S+ZB3dI9YsQILMvi0KFDadsPHTrEqFGjej3mrrvuYvny5cl127ZpaGhg+PDhundETriWlhbGjx9PRUXFoL29QeRE0mdCJJ0+EyJd9HmQocZxHFpbWxkzpvdHDyYM6tDt8/mYNWsWa9euTd7Tbds2a9euZdmyZb0e4/f78fv9adsKCwsHuKYi/cvPz9cvD5EU+kyIpNNnQqSLPg8ylBQUFByxzKAO3QDLly9n8eLFnH/++cyZM4cHH3yQYDCYHM1cREREREREZLAa9KH72muvpa6ujh/84AfU1NRw7rnn8sorr/QYXE1ERERERERksBn0oRtg2bJlfXYnFxnM/H4/99xzT49bHkS+qPSZEEmnz4RIF30e5GQ1qEcvFxERERERERnKzExXQERERERERORkpdAtIiIiIiIiMkAUukVEREREREQGiEK3yAly4MAB/vZv/5bJkycTCASYMmUK99xzD5FIJNNVEzkhHnnkESZNmkRWVhZz585l8+bNma6SSEasWLGC2bNnk5eXR0lJCYsWLWLPnj2ZrpbIoPGv//qvGIbBbbfdlumqiBwXCt0iJ8ju3buxbZvHHnuMnTt38sADD/Doo49y9913Z7pqIgPu6aefZvny5dxzzz1s3bqVGTNmcNVVV1FbW5vpqomccOvXr2fp0qW88847vPrqq0SjUa688kqCwWCmqyaScVu2bOGxxx7jnHPOyXRVRI4bjV4ukkH33nsvK1euZN++fZmuisiAmjt3LrNnz+bhhx8GwLZtxo8fzy233MKdd96Z4dqJZFZdXR0lJSWsX7+e+fPnZ7o6IhnT1tbGzJkz+fd//3d+8pOfcO655/Lggw9muloix0wt3SIZ1NzcTFFRUaarITKgIpEIpaWlXH755cltpmly+eWX8/bbb2ewZiKDQ3NzM4B+H8gX3tKlS7n66qvTfl+InAw8ma6AyBdVWVkZDz30EPfdd1+mqyIyoA4fPkw8HmfkyJFp20eOHMnu3bszVCuRwcG2bW677TbmzZvHWWedlenqiGTM6tWr2bp1K1u2bMl0VUSOO7V0ixyjO++8E8Mw+p26B4vKykoWLlzIt771LW688cYM1VxERDJt6dKl7Nixg9WrV2e6KiIZU1FRwa233sqvf/1rsrKyMl0dkeNO93SLHKO6ujrq6+v7LXPKKafg8/kAqKqq4tJLL+WCCy5g1apVmKa++5KTWyQSITs7m2eeeYZFixYlty9evJimpibWrFmTucqJZNCyZctYs2YNGzZsYPLkyZmujkjGPP/88/zZn/0ZlmUlt8XjcQzDwDRNwuFw2j6RoUbdy0WOUXFxMcXFxUdVtrKykgULFjBr1iyefPJJBW75QvD5fMyaNYu1a9cmQ7dt26xdu5Zly5ZltnIiGeA4DrfccgvPPfcc69atU+CWL7zLLruM7du3p227/vrrmTp1Kv/0T/+kwC1DnkK3yAlSWVnJpZdeysSJE7nvvvuoq6tL7hs1alQGayYy8JYvX87ixYs5//zzmTNnDg8++CDBYJDrr78+01UTOeGWLl3KU089xZo1a8jLy6OmpgaAgoICAoFAhmsncuLl5eX1GNMgJyeH4cOHa6wDOSkodIucIK+++iplZWWUlZUxbty4tH26y0NOdtdeey11dXX84Ac/oKamhnPPPZdXXnmlx+BqIl8EK1euBODSSy9N2/7kk09y3XXXnfgKiYjIgNI93SIiIiIiIiIDRDeUioiIiIiIiAwQhW4RERERERGRAaLQLSIiIiIiIjJAFLpFREREREREBohCt4iIiIiIiMgAUegWERERERERGSAK3SIiIiIiIiIDRKFbREREREREZIAodIuIiEiadevWYRgGTU1Nma6KiIjIkKfQLSIiMsRcd911GIbBzTff3GPf0qVLMQyD66677rhdTyFcRETk81PoFhERGYLGjx/P6tWr6ejoSG4LhUI89dRTTJgwIYM1ExERkVQK3SIiIkPQzJkzGT9+PL/73e+S2373u98xYcIEzjvvvOQ227ZZsWIFkydPJhAIMGPGDJ555pm0c/3+97/n9NNPJxAIsGDBAg4cONDvtVetWkVhYSF//OMfmTZtGrm5uSxcuJDq6uq0ck888QRnnnkmfr+f0aNHs2zZsmN/4SIiIkOMQreIiMgQtWTJEp588snk+hNPPMH111+fVmbFihX88pe/5NFHH2Xnzp3cfvvtfPvb32b9+vUAVFRU8Od//udcc801fPDBB9xwww3ceeedR7x2e3s79913H7/61a/YsGEDBw8e5I477kjuX7lyJUuXLuW73/0u27dv54UXXuDUU089Tq9cRERk6PBkugIiIiLy+Xz729/mrrvuory8HIBNmzaxevVq1q1bB0A4HOanP/0pr732GhdeeCEAp5xyChs3buSxxx7jkksuYeXKlUyZMoX7778fgDPOOIPt27fzs5/9rN9rR6NRHn30UaZMmQLAsmXL+PGPf5zc/5Of/IR//Md/5NZbb01umz179nF77SIiIkOFQreIiMgQVVxczNVXX82qVatwHIerr76aESNGJPeXlZXR3t7OFVdckXZcJBJJdkHftWsXc+fOTdufCOj9yc7OTgZugNGjR1NbWwtAbW0tVVVVXHbZZZ/7tYmIiJwsFLpFRESGsCVLliTvlX7kkUfS9rW1tQHw8ssvM3bs2LR9fr//mK7r9XrT1g3DwHEcAAKBwDGdW0RE5GSi0C0iIjKELVy4kEgkgmEYXHXVVWn7pk+fjt/v5+DBg1xyySW9Hj9t2jReeOGFtG3vvPPOMdUpLy+PSZMmsXbtWhYsWHBM5xIRERnqFLpFRESGMMuy2LVrV3I5VV5eHnfccQe33347tm1z8cUX09zczKZNm8jPz2fx4sXcfPPN3H///Xzve9/jhhtuoLS0lFWrVh1zvX74wx9y8803U1JSwle+8hVaW1vZtGkTt9xyyzGfW0REZChR6BYRERni8vPz+9z3L//yLxQXF7NixQr27dtHYWEhM2fO5O677wZgwoQJPPvss9x+++089NBDzJkzh5/+9KcsWbLkmOq0ePFiQqEQDzzwAHfccQcjRozgm9/85jGdU0REZCgynMQNWCIiIiIiIiJyXOk53SIiIiIiIiIDRKFbREREREREZIAodIuIiIiIiIgMEIVuERERERERkQGi0C0iIiIiIiIyQBS6RURERERERAaIQreIiIiIiIjIAFHoFhERERERERkgCt0iIiIiIiIiA0ShW0RERERERGSAKHSLiIiIiIiIDBCFbhEREREREZEB8v8Bgzuwg9vRtsEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "to_chart = [\"MedInc\", \"HouseAge\", \"AveRooms\", \"AveBedrms\", \"Population\", \"AveOccup\"]\n",
    "\n",
    "# Determin relationship between extreme MEDHOUSVAL and other features\n",
    "extreme_highend_housing_df = housing_df[(housing_df['MedHouseVal'] >= 5)]\n",
    "extreme_highend_housing_df\n",
    "\n",
    "extreme_lowend_housing_df = housing_df[(housing_df['MedHouseVal'] <= 1)]\n",
    "\n",
    "\n",
    "# Explore features with histograms and PDFs on the same chart\n",
    "for feature in to_chart:\n",
    "    fig, ax = plt.subplots(figsize=(10, 4))\n",
    "    \n",
    "    # Plot histogram with density normalization\n",
    "    ax.hist(\n",
    "        extreme_highend_housing_df[feature],\n",
    "        bins=300,\n",
    "        density=True,\n",
    "        alpha=0.7,\n",
    "        label='High-end (MedHouseVal >= 5)',\n",
    "        color='green'\n",
    "    )\n",
    "    ax.hist(\n",
    "        housing_df[feature],\n",
    "        bins=300,\n",
    "        density=True,\n",
    "        alpha=0.4,\n",
    "        label='All Data',\n",
    "        color='blue'\n",
    "    )\n",
    "    ax.hist(\n",
    "        extreme_lowend_housing_df[feature],\n",
    "        bins=300,\n",
    "        density=True,\n",
    "        alpha=0.4,\n",
    "        label='Low-end (MedHouseVal <= 1)',\n",
    "        color='red'\n",
    "    )\n",
    "    \n",
    "    # Plot PDF for high-end subset\n",
    "    extreme_highend_housing_df[feature].plot(\n",
    "        kind='density',\n",
    "        ax=ax,\n",
    "        linewidth=2,\n",
    "        label='High-end PDF',\n",
    "        color='green',\n",
    "        alpha=0.5\n",
    "    )\n",
    "    # Plot PDF for full data\n",
    "    housing_df[feature].plot(\n",
    "        kind='density',\n",
    "        ax=ax,\n",
    "        linewidth=2,\n",
    "        label='All Data PDF',\n",
    "        color='blue',\n",
    "        alpha=0.5\n",
    "    )\n",
    "    # Plot PDF for low-end subset\n",
    "    extreme_lowend_housing_df[feature].plot(\n",
    "        kind='density',\n",
    "        ax=ax,\n",
    "        linewidth=2,\n",
    "        label='Low-end PDF',\n",
    "        color='red',\n",
    "        alpha=0.5\n",
    "    )\n",
    "    \n",
    "    ax.set_title(f\"Binned Count and PDF of {feature} -- Post-scaling and Post-data clipping\")\n",
    "    ax.set_xlabel(feature)\n",
    "    ax.set_ylabel(\"Density\")\n",
    "    ax.legend()\n",
    "    plt.tight_layout()\n",
    "    plt.suptitle('Extreme High, Low, and All Data Values for MedHouseVal', y=1.02)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b5fd188",
   "metadata": {},
   "source": [
    "### Could Likely get better performance if I binned the upper echelon (top 1 - 10%) of MedInc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e0c3ca83",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "ea90f141",
   "metadata": {},
   "source": [
    "## Feature Selection - (Consider switching to ElasticNet instead of Lasso)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "1e6f97b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.014e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.364e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.546e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.401e+00, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.405e+00, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.362e+00, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.064e+00, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.357e+00, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.285e+00, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.157e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.915e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.231e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.868e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.834e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.643e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.219e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.433e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.187e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.382e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.593e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.578e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.941e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.706e+01, tolerance: 2.228e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.075e+00, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.309e+00, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.398e+00, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.047e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.701e+00, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.213e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.298e+00, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.292e+00, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.218e+00, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.964e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.036e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.746e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.456e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.196e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.173e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.475e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.338e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.455e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.394e+00, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.078e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.959e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.330e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.067e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.098e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.213e+01, tolerance: 2.256e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.318e+00, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.406e+00, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.188e+00, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.503e+00, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.115e+00, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.665e+00, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.145e+00, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.520e+00, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.272e+01, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.892e+01, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.447e+01, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.597e+01, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.091e+01, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.361e+02, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.727e+01, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.257e+01, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.872e+01, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.031e+01, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.924e+01, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.151e+02, tolerance: 2.110e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.880e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.725e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.658e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.955e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.755e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.218e+01, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.216e+01, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.741e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.146e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.193e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.771e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.070e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.243e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.153e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.770e+00, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.643e+01, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.863e+01, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.971e+01, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.617e+01, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.574e+01, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.957e+01, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.218e+01, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.766e+01, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.372e+01, tolerance: 2.236e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.931e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.614e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.166e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.308e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.837e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.397e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.870e+01, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.904e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.300e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.174e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.128e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.008e+01, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.170e+01, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.163e+01, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.175e+01, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.307e+01, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.068e+02, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.737e+01, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.162e+01, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.853e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.331e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.164e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.361e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.601e+00, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.236e+01, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.676e+01, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.405e+01, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.980e+01, tolerance: 2.128e+00\n",
      "  model = cd_fast.enet_coordinate_descent_gram(\n",
      "/opt/anaconda3/envs/PiPython/lib/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:695: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.076e+03, tolerance: 2.748e+00\n",
      "  model = cd_fast.enet_coordinate_descent(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selected features: Index(['MedInc', 'Longitude', 'MedInc^2', 'MedInc HouseAge', 'MedInc AveRooms',\n",
      "       'MedInc Longitude', 'MedInc log_MedInc', 'MedInc log_Population',\n",
      "       'MedInc log_AveRooms', 'HouseAge log_MedInc',\n",
      "       ...\n",
      "       'geohash_code_9', 'geohash_code_10', 'geohash_code_11',\n",
      "       'geohash_code_12', 'geohash_code_13', 'geohash_code_14',\n",
      "       'geohash_code_15', 'geohash_code_16', 'geohash_code_18',\n",
      "       'geohash_code_20'],\n",
      "      dtype='object', length=115)\n",
      "R^2 scores with selected features: [0.68934728 0.79073685 0.68901039 0.61316606 0.76628529 0.66059673\n",
      " 0.58863996 0.66679749 0.50607405 0.65394732]\n"
     ]
    }
   ],
   "source": [
    "# Feature Selection with Lasso Regression\n",
    "from sklearn.linear_model import LassoCV\n",
    "X = housing_df.drop('MedHouseVal', axis=1)\n",
    "y = housing_df['MedHouseVal']\n",
    "lasso = LassoCV(cv=5, random_state=315)\n",
    "lasso.fit(X, y)\n",
    "importance = np.abs(lasso.coef_)\n",
    "feature_names = X.columns\n",
    "\n",
    "# Select features with non-zero importance\n",
    "selected_features = feature_names[importance > 0]\n",
    "print(\"Selected features:\", selected_features)\n",
    "X_selected = X[selected_features]\n",
    "\n",
    "# Evaluate model with selected features\n",
    "model = LinearRegression()\n",
    "scores = cross_val_score(model, X_selected, y, cv=10, scoring='r2')\n",
    "print(\"R^2 scores with selected features:\", scores)\n",
    "X_selected\n",
    "\n",
    "# Remake housing_df with selected features\n",
    "housing_df = X_selected.copy(deep=True)\n",
    "housing_df['MedHouseVal'] = y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f3255dfc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0fa860aa",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8793fb0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "fd138ef2",
   "metadata": {},
   "source": [
    "## Final Dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6b216bef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MedInc</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>MedInc^2</th>\n",
       "      <th>MedInc HouseAge</th>\n",
       "      <th>MedInc AveRooms</th>\n",
       "      <th>MedInc Longitude</th>\n",
       "      <th>MedInc log_MedInc</th>\n",
       "      <th>MedInc log_Population</th>\n",
       "      <th>MedInc log_AveRooms</th>\n",
       "      <th>HouseAge log_MedInc</th>\n",
       "      <th>...</th>\n",
       "      <th>geohash_code_10</th>\n",
       "      <th>geohash_code_11</th>\n",
       "      <th>geohash_code_12</th>\n",
       "      <th>geohash_code_13</th>\n",
       "      <th>geohash_code_14</th>\n",
       "      <th>geohash_code_15</th>\n",
       "      <th>geohash_code_16</th>\n",
       "      <th>geohash_code_18</th>\n",
       "      <th>geohash_code_20</th>\n",
       "      <th>MedHouseVal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.197582</td>\n",
       "      <td>-0.986807</td>\n",
       "      <td>3.567069</td>\n",
       "      <td>3.037982</td>\n",
       "      <td>2.481050</td>\n",
       "      <td>-2.272853</td>\n",
       "      <td>2.630926</td>\n",
       "      <td>1.485035</td>\n",
       "      <td>2.318376</td>\n",
       "      <td>1.732024</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.186664</td>\n",
       "      <td>-0.984169</td>\n",
       "      <td>3.542225</td>\n",
       "      <td>0.999048</td>\n",
       "      <td>2.087821</td>\n",
       "      <td>-2.261419</td>\n",
       "      <td>2.616156</td>\n",
       "      <td>2.538149</td>\n",
       "      <td>2.135153</td>\n",
       "      <td>0.202159</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.707732</td>\n",
       "      <td>-0.989446</td>\n",
       "      <td>2.522385</td>\n",
       "      <td>3.478133</td>\n",
       "      <td>2.605101</td>\n",
       "      <td>-1.774374</td>\n",
       "      <td>1.981999</td>\n",
       "      <td>1.291103</td>\n",
       "      <td>2.080711</td>\n",
       "      <td>2.356048</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.967177</td>\n",
       "      <td>-0.992084</td>\n",
       "      <td>1.214873</td>\n",
       "      <td>2.453273</td>\n",
       "      <td>0.915528</td>\n",
       "      <td>-1.020509</td>\n",
       "      <td>1.061153</td>\n",
       "      <td>0.694423</td>\n",
       "      <td>0.947302</td>\n",
       "      <td>1.968976</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.142854</td>\n",
       "      <td>-0.992084</td>\n",
       "      <td>0.144307</td>\n",
       "      <td>1.312487</td>\n",
       "      <td>0.379598</td>\n",
       "      <td>-0.181062</td>\n",
       "      <td>0.144262</td>\n",
       "      <td>-0.027244</td>\n",
       "      <td>0.269435</td>\n",
       "      <td>1.407786</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20635</th>\n",
       "      <td>-0.905796</td>\n",
       "      <td>-0.686016</td>\n",
       "      <td>-0.631633</td>\n",
       "      <td>-0.653085</td>\n",
       "      <td>-0.627677</td>\n",
       "      <td>0.893745</td>\n",
       "      <td>-0.770161</td>\n",
       "      <td>-0.911016</td>\n",
       "      <td>-0.754868</td>\n",
       "      <td>-0.596182</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20636</th>\n",
       "      <td>-0.448655</td>\n",
       "      <td>-0.717678</td>\n",
       "      <td>-0.374046</td>\n",
       "      <td>-0.567441</td>\n",
       "      <td>-0.147815</td>\n",
       "      <td>0.431461</td>\n",
       "      <td>-0.417090</td>\n",
       "      <td>-0.623425</td>\n",
       "      <td>-0.286246</td>\n",
       "      <td>-0.618890</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20637</th>\n",
       "      <td>-0.841709</td>\n",
       "      <td>-0.720317</td>\n",
       "      <td>-0.603037</td>\n",
       "      <td>-0.776487</td>\n",
       "      <td>-0.567261</td>\n",
       "      <td>0.828257</td>\n",
       "      <td>-0.726130</td>\n",
       "      <td>-0.831994</td>\n",
       "      <td>-0.692122</td>\n",
       "      <td>-0.822638</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20638</th>\n",
       "      <td>-0.765007</td>\n",
       "      <td>-0.746702</td>\n",
       "      <td>-0.565590</td>\n",
       "      <td>-0.718988</td>\n",
       "      <td>-0.499125</td>\n",
       "      <td>0.750092</td>\n",
       "      <td>-0.670853</td>\n",
       "      <td>-0.794746</td>\n",
       "      <td>-0.619543</td>\n",
       "      <td>-0.751641</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20639</th>\n",
       "      <td>-0.525816</td>\n",
       "      <td>-0.725594</td>\n",
       "      <td>-0.426272</td>\n",
       "      <td>-0.662729</td>\n",
       "      <td>-0.338336</td>\n",
       "      <td>0.509096</td>\n",
       "      <td>-0.482473</td>\n",
       "      <td>-0.479673</td>\n",
       "      <td>-0.421480</td>\n",
       "      <td>-0.732252</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.894</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20640 rows × 116 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         MedInc  Longitude  MedInc^2  MedInc HouseAge  MedInc AveRooms  \\\n",
       "0      2.197582  -0.986807  3.567069         3.037982         2.481050   \n",
       "1      2.186664  -0.984169  3.542225         0.999048         2.087821   \n",
       "2      1.707732  -0.989446  2.522385         3.478133         2.605101   \n",
       "3      0.967177  -0.992084  1.214873         2.453273         0.915528   \n",
       "4      0.142854  -0.992084  0.144307         1.312487         0.379598   \n",
       "...         ...        ...       ...              ...              ...   \n",
       "20635 -0.905796  -0.686016 -0.631633        -0.653085        -0.627677   \n",
       "20636 -0.448655  -0.717678 -0.374046        -0.567441        -0.147815   \n",
       "20637 -0.841709  -0.720317 -0.603037        -0.776487        -0.567261   \n",
       "20638 -0.765007  -0.746702 -0.565590        -0.718988        -0.499125   \n",
       "20639 -0.525816  -0.725594 -0.426272        -0.662729        -0.338336   \n",
       "\n",
       "       MedInc Longitude  MedInc log_MedInc  MedInc log_Population  \\\n",
       "0             -2.272853           2.630926               1.485035   \n",
       "1             -2.261419           2.616156               2.538149   \n",
       "2             -1.774374           1.981999               1.291103   \n",
       "3             -1.020509           1.061153               0.694423   \n",
       "4             -0.181062           0.144262              -0.027244   \n",
       "...                 ...                ...                    ...   \n",
       "20635          0.893745          -0.770161              -0.911016   \n",
       "20636          0.431461          -0.417090              -0.623425   \n",
       "20637          0.828257          -0.726130              -0.831994   \n",
       "20638          0.750092          -0.670853              -0.794746   \n",
       "20639          0.509096          -0.482473              -0.479673   \n",
       "\n",
       "       MedInc log_AveRooms  HouseAge log_MedInc  ...  geohash_code_10  \\\n",
       "0                 2.318376             1.732024  ...              0.0   \n",
       "1                 2.135153             0.202159  ...              0.0   \n",
       "2                 2.080711             2.356048  ...              0.0   \n",
       "3                 0.947302             1.968976  ...              0.0   \n",
       "4                 0.269435             1.407786  ...              0.0   \n",
       "...                    ...                  ...  ...              ...   \n",
       "20635            -0.754868            -0.596182  ...              0.0   \n",
       "20636            -0.286246            -0.618890  ...              0.0   \n",
       "20637            -0.692122            -0.822638  ...              0.0   \n",
       "20638            -0.619543            -0.751641  ...              0.0   \n",
       "20639            -0.421480            -0.732252  ...              0.0   \n",
       "\n",
       "       geohash_code_11  geohash_code_12  geohash_code_13  geohash_code_14  \\\n",
       "0                  0.0              0.0              1.0              0.0   \n",
       "1                  0.0              0.0              1.0              0.0   \n",
       "2                  0.0              0.0              1.0              0.0   \n",
       "3                  0.0              0.0              1.0              0.0   \n",
       "4                  0.0              0.0              1.0              0.0   \n",
       "...                ...              ...              ...              ...   \n",
       "20635              0.0              0.0              0.0              0.0   \n",
       "20636              0.0              0.0              0.0              0.0   \n",
       "20637              0.0              0.0              0.0              0.0   \n",
       "20638              0.0              0.0              0.0              0.0   \n",
       "20639              0.0              0.0              0.0              0.0   \n",
       "\n",
       "       geohash_code_15  geohash_code_16  geohash_code_18  geohash_code_20  \\\n",
       "0                  0.0              0.0              0.0              0.0   \n",
       "1                  0.0              0.0              0.0              0.0   \n",
       "2                  0.0              0.0              0.0              0.0   \n",
       "3                  0.0              0.0              0.0              0.0   \n",
       "4                  0.0              0.0              0.0              0.0   \n",
       "...                ...              ...              ...              ...   \n",
       "20635              0.0              0.0              0.0              0.0   \n",
       "20636              0.0              0.0              0.0              0.0   \n",
       "20637              0.0              0.0              0.0              0.0   \n",
       "20638              0.0              0.0              0.0              0.0   \n",
       "20639              1.0              0.0              0.0              0.0   \n",
       "\n",
       "       MedHouseVal  \n",
       "0            4.526  \n",
       "1            3.585  \n",
       "2            3.521  \n",
       "3            3.413  \n",
       "4            3.422  \n",
       "...            ...  \n",
       "20635        0.781  \n",
       "20636        0.771  \n",
       "20637        0.923  \n",
       "20638        0.847  \n",
       "20639        0.894  \n",
       "\n",
       "[20640 rows x 116 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "85119c15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['MedInc',\n",
       " 'Longitude',\n",
       " 'MedInc^2',\n",
       " 'MedInc HouseAge',\n",
       " 'MedInc AveRooms',\n",
       " 'MedInc Longitude',\n",
       " 'MedInc log_MedInc',\n",
       " 'MedInc log_Population',\n",
       " 'MedInc log_AveRooms',\n",
       " 'HouseAge log_MedInc',\n",
       " 'AveRooms^2',\n",
       " 'AveRooms AveOccup',\n",
       " 'AveRooms Longitude',\n",
       " 'AveRooms log_AveRooms',\n",
       " 'AveOccup^2',\n",
       " 'Latitude^2',\n",
       " 'Latitude log_log_Population',\n",
       " 'Longitude^2',\n",
       " 'MedInc^3',\n",
       " 'MedInc^2 HouseAge',\n",
       " 'MedInc^2 AveOccup',\n",
       " 'MedInc^2 Longitude',\n",
       " 'MedInc^2 log_Population',\n",
       " 'MedInc^2 log_log_Population',\n",
       " 'MedInc HouseAge log_Population',\n",
       " 'MedInc AveRooms^2',\n",
       " 'MedInc AveRooms AveBedrms',\n",
       " 'MedInc AveRooms Longitude',\n",
       " 'MedInc AveRooms log_Population',\n",
       " 'MedInc AveRooms log_log_Population',\n",
       " 'MedInc AveBedrms log_Population',\n",
       " 'MedInc Population^2',\n",
       " 'MedInc Population AveOccup',\n",
       " 'MedInc Longitude^2',\n",
       " 'MedInc Longitude log_MedInc',\n",
       " 'MedInc Longitude log_Population',\n",
       " 'MedInc Longitude log_AveRooms',\n",
       " 'MedInc log_MedInc log_AveRooms',\n",
       " 'MedInc log_Population log_AveBedrms',\n",
       " 'HouseAge AveRooms Population',\n",
       " 'HouseAge AveRooms log_AveOccup',\n",
       " 'HouseAge AveBedrms log_MedInc',\n",
       " 'HouseAge Population^2',\n",
       " 'HouseAge Population log_AveBedrms',\n",
       " 'HouseAge AveOccup^2',\n",
       " 'HouseAge AveOccup log_MedInc',\n",
       " 'HouseAge Latitude^2',\n",
       " 'HouseAge Latitude log_AveOccup',\n",
       " 'HouseAge log_MedInc^2',\n",
       " 'HouseAge log_MedInc log_Population',\n",
       " 'HouseAge log_MedInc log_AveBedrms',\n",
       " 'HouseAge log_MedInc log_AveOccup',\n",
       " 'HouseAge log_Population log_AveOccup',\n",
       " 'HouseAge log_AveRooms log_AveOccup',\n",
       " 'HouseAge log_AveOccup^2',\n",
       " 'AveRooms^3',\n",
       " 'AveRooms^2 Latitude',\n",
       " 'AveRooms^2 log_AveBedrms',\n",
       " 'AveRooms AveBedrms^2',\n",
       " 'AveRooms AveBedrms Population',\n",
       " 'AveRooms AveBedrms log_MedInc',\n",
       " 'AveRooms AveBedrms log_Population',\n",
       " 'AveRooms AveBedrms log_AveBedrms',\n",
       " 'AveRooms Population^2',\n",
       " 'AveRooms Population AveOccup',\n",
       " 'AveRooms AveOccup Latitude',\n",
       " 'AveRooms log_AveBedrms^2',\n",
       " 'AveBedrms^3',\n",
       " 'AveBedrms^2 Latitude',\n",
       " 'AveBedrms^2 Longitude',\n",
       " 'AveBedrms^2 log_MedInc',\n",
       " 'AveBedrms^2 log_AveRooms',\n",
       " 'AveBedrms^2 log_AveOccup',\n",
       " 'AveBedrms Population^2',\n",
       " 'AveBedrms Population AveOccup',\n",
       " 'AveBedrms AveOccup^2',\n",
       " 'AveBedrms AveOccup log_MedInc',\n",
       " 'AveBedrms Latitude^2',\n",
       " 'AveBedrms log_AveRooms log_AveBedrms',\n",
       " 'Population^3',\n",
       " 'Population AveOccup^2',\n",
       " 'Population AveOccup log_AveBedrms',\n",
       " 'Population AveOccup log_AveOccup',\n",
       " 'Population Latitude^2',\n",
       " 'AveOccup^3',\n",
       " 'AveOccup^2 Latitude',\n",
       " 'AveOccup^2 log_Population',\n",
       " 'AveOccup^2 log_AveRooms',\n",
       " 'AveOccup Latitude log_AveOccup',\n",
       " 'AveOccup log_AveOccup^2',\n",
       " 'Latitude^3',\n",
       " 'Latitude^2 log_MedInc',\n",
       " 'Latitude^2 log_AveBedrms',\n",
       " 'Latitude log_MedInc log_AveOccup',\n",
       " 'Longitude^2 log_AveBedrms',\n",
       " 'Longitude log_Population log_AveBedrms',\n",
       " 'Longitude log_AveBedrms log_log_Population',\n",
       " 'log_MedInc log_Population log_AveBedrms',\n",
       " 'log_MedInc log_Population log_AveOccup',\n",
       " 'log_Population^2 log_AveRooms',\n",
       " 'log_Population log_AveRooms log_AveOccup',\n",
       " 'log_AveRooms log_AveBedrms^2',\n",
       " 'log_AveBedrms^3',\n",
       " 'region_code_2',\n",
       " 'region_code_3',\n",
       " 'geohash_code_9',\n",
       " 'geohash_code_10',\n",
       " 'geohash_code_11',\n",
       " 'geohash_code_12',\n",
       " 'geohash_code_13',\n",
       " 'geohash_code_14',\n",
       " 'geohash_code_15',\n",
       " 'geohash_code_16',\n",
       " 'geohash_code_18',\n",
       " 'geohash_code_20',\n",
       " 'MedHouseVal']"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_df.columns.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11834ffc",
   "metadata": {},
   "source": [
    "## Model evaluation\n",
    "\n",
    "Now we'll compare model performance on the original dataset versus your engineered dataset.\n",
    "\n",
    "### Evaluate datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ef3a836f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create output directory if it doesn't exist\n",
    "output_directory = 'data/outputs'\n",
    "Path(output_directory).mkdir(parents=True, exist_ok=True)\n",
    "\n",
    "# Save a copy of the engineered dataframe\n",
    "housing_df.to_csv('data/outputs/housing_df.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "691bfe0c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Mean improvement: 0.30%\n",
      "0.29638208712775677\n"
     ]
    }
   ],
   "source": [
    "# Create linear regression model\n",
    "model = LinearRegression()\n",
    "\n",
    "# Evaluate on original dataset\n",
    "scores_original = cross_val_score(\n",
    "    model,\n",
    "    original_housing_df.drop('MedHouseVal', axis=1),\n",
    "    original_housing_df['MedHouseVal'],\n",
    "    cv=10,\n",
    "    scoring='r2'\n",
    ")\n",
    "\n",
    "# Evaluate on engineered dataset\n",
    "scores_engineered = cross_val_score(\n",
    "    model,\n",
    "    housing_df.drop('MedHouseVal', axis=1),\n",
    "    housing_df['MedHouseVal'],\n",
    "    cv=10,\n",
    "    scoring='r2'\n",
    ")\n",
    "\n",
    "engineered_mean = scores_engineered.mean()\n",
    "original_mean = scores_original.mean()\n",
    "mean_improvement = (engineered_mean - original_mean) / original_mean\n",
    "\n",
    "print(f'\\nMean improvement: {mean_improvement:.2f}%')\n",
    "print(mean_improvement)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66c54546",
   "metadata": {},
   "source": [
    "#### Current Best : 0.29638208712775677"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e017b15b",
   "metadata": {},
   "source": [
    "### Visualize model performance comparison"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "91ff7949",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "original_model = LinearRegression()\n",
    "original_model.fit(original_housing_df.drop('MedHouseVal', axis=1), original_housing_df['MedHouseVal'])\n",
    "original_predictions = original_model.predict(original_housing_df.drop('MedHouseVal', axis=1))\n",
    "\n",
    "model = LinearRegression()\n",
    "model.fit(housing_df.drop('MedHouseVal', axis=1), housing_df['MedHouseVal'])\n",
    "predictions = model.predict(housing_df.drop('MedHouseVal', axis=1))\n",
    "\n",
    "# Create boxplot comparing performance\n",
    "data_to_plot = [scores_original, scores_engineered]\n",
    "labels = ['Original', 'Engineered']\n",
    "\n",
    "fig, axs = plt.subplots(1, 2, figsize=(9,4.5))\n",
    "\n",
    "fig.suptitle(f'Model performance comparison\\nmean improvement: {mean_improvement:.2f}%')\n",
    "\n",
    "axs[0].set_title('Cross validation R² scores')\n",
    "axs[0].boxplot(data_to_plot, tick_labels=labels)\n",
    "axs[0].set_xlabel('Dataset')\n",
    "axs[0].set_ylabel('R² score')\n",
    "\n",
    "axs[1].set_title('Predictions vs true values')\n",
    "axs[1].plot(\n",
    "    original_housing_df['MedHouseVal'], original_predictions,\n",
    "    'o', markersize=1, label='Original', alpha=0.25\n",
    ")\n",
    "\n",
    "axs[1].plot(\n",
    "    housing_df['MedHouseVal'], predictions,\n",
    "    'o', markersize=1, label='Engineered', alpha=0.25\n",
    ")\n",
    "\n",
    "axs[1].set_xlabel('True Values')\n",
    "axs[1].set_ylabel('Predictions')\n",
    "\n",
    "leg = axs[1].legend(loc='upper left', markerscale=8, framealpha=1)\n",
    "\n",
    "for lh in leg.legend_handles: \n",
    "    lh.set_alpha(1)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e13bc24e",
   "metadata": {},
   "source": [
    "## 3. Reflection\n",
    "\n",
    "**Questions to consider**:\n",
    "\n",
    "1. Which feature engineering techniques had the biggest impact on model performance?\n",
    "2. Did adding more features always improve performance, or did some hurt it?\n",
    "3. How might you further improve the engineered dataset?\n",
    "4. What trade-offs did you consider (e.g., interpretability vs performance, complexity vs gains)?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63f57096",
   "metadata": {},
   "source": [
    "**Your reflection**:\n",
    "\n",
    "*Write your thoughts here...*"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "PiPython",
   "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": "3.14.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}