salary-prediction.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Salary Prediction Analysis\n",
    "\n",
    "## Overview\n",
    "\n",
    "This repository contains a comprehensive analysis of the \"Salary Data.csv\" dataset, aiming to predict salaries based on several features like age, years of experience, gender, and job title. Through extensive data processing, visualization, and machine learning, we've derived valuable insights and built predictive models with impressive accuracy.\n",
    "\n",
    "## Dataset\n",
    "\n",
    "The primary dataset used is \"Salary Data.csv\", which encompasses several features:\n",
    "- **Age**: The age of the employees.\n",
    "- **Years of Experience**: The total working experience of the employees.\n",
    "- **Gender**: The gender of the employees.\n",
    "- **Job Title**: The designation or role of the employees.\n",
    "- **Education Level**: The highest educational qualification of the employees.\n",
    "- **Salary**: The annual salary of the employees (our target variable).\n",
    "\n",
    "## Procedures and Analysis\n",
    "\n",
    "### Data Exploration and Visualization:\n",
    "\n",
    "- Loaded the dataset into a pandas DataFrame for easy manipulation and analysis.\n",
    "- Conducted a comprehensive overview of the dataset, understanding its structure and content.\n",
    "- Used statistical measures to understand the distribution and central tendencies of the data.\n",
    "- Visualized the data using libraries like `matplotlib` and `seaborn` to understand the relationships between different features and the target variable.\n",
    "\n",
    "### Data Preprocessing:\n",
    "\n",
    "- Used MinMaxScaler for scaling numeric features.\n",
    "- Encoded categorical variables to convert them into a format suitable for machine learning.\n",
    "- Split the dataset into training and testing sets to train and subsequently evaluate our machine learning models.\n",
    "\n",
    "### Model Training and Evaluation:\n",
    "\n",
    "- Employed several regression algorithms, including:\n",
    "    - Linear Regression\n",
    "    - Decision Tree Regression\n",
    "    - Extra Tree Regression\n",
    "    - Gradient Boosting Regression\n",
    "    - Random Forest Regression\n",
    "    - Ridge Regression\n",
    "    - Lasso Regression\n",
    "    - Elastic Net Regression\n",
    "\n",
    "- Trained each model on the training set and evaluated their performance on the testing set using R-squared as the metric.\n",
    "\n",
    "## Results\n",
    "\n",
    "The R-squared values for each of the models are as follows:\n",
    "\n",
    "- **Linear Regression**: 0.8556\n",
    "- **Decision Tree Regression**: 0.8889\n",
    "- **Extra Tree Regression**: 0.8997\n",
    "- **Gradient Boosting Regression**: 0.9160\n",
    "- **Random Forest Regression**: 0.9111\n",
    "- **Ridge Regression**: 0.9036\n",
    "- **Lasso Regression**: 0.9027\n",
    "- **Elastic Net Regression**: 0.9046\n",
    "\n",
    "The Gradient Boosting Regression model showed the highest R-squared value, indicating it performed the best among all the models in terms of explaining the variance in the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing the necessary libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.preprocessing import MinMaxScaler, OneHotEncoder, OrdinalEncoder\n",
    "from sklearn.compose import ColumnTransformer, TransformedTargetRegressor\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.linear_model import LinearRegression, Lasso, SGDRegressor, Ridge, ElasticNet\n",
    "from sklearn.ensemble import GradientBoostingRegressor, RandomForestRegressor\n",
    "from sklearn.tree import DecisionTreeRegressor, ExtraTreeRegressor\n",
    "from sklearn.model_selection import train_test_split, RandomizedSearchCV\n",
    "from sklearn.svm import SVR\n",
    "\n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reading the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(375, 6)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Education Level</th>\n",
       "      <th>Job Title</th>\n",
       "      <th>Years of Experience</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Bachelor's</td>\n",
       "      <td>Software Engineer</td>\n",
       "      <td>5.0</td>\n",
       "      <td>90000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>Master's</td>\n",
       "      <td>Data Analyst</td>\n",
       "      <td>3.0</td>\n",
       "      <td>65000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>45.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>PhD</td>\n",
       "      <td>Senior Manager</td>\n",
       "      <td>15.0</td>\n",
       "      <td>150000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>36.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>Bachelor's</td>\n",
       "      <td>Sales Associate</td>\n",
       "      <td>7.0</td>\n",
       "      <td>60000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>52.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Master's</td>\n",
       "      <td>Director</td>\n",
       "      <td>20.0</td>\n",
       "      <td>200000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Age  Gender Education Level          Job Title  Years of Experience  \\\n",
       "0  32.0    Male      Bachelor's  Software Engineer                  5.0   \n",
       "1  28.0  Female        Master's       Data Analyst                  3.0   \n",
       "2  45.0    Male             PhD     Senior Manager                 15.0   \n",
       "3  36.0  Female      Bachelor's    Sales Associate                  7.0   \n",
       "4  52.0    Male        Master's           Director                 20.0   \n",
       "\n",
       "     Salary  \n",
       "0   90000.0  \n",
       "1   65000.0  \n",
       "2  150000.0  \n",
       "3   60000.0  \n",
       "4  200000.0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('Salary Data.csv')\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## An overview of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 375 entries, 0 to 374\n",
      "Data columns (total 6 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Age                  373 non-null    float64\n",
      " 1   Gender               373 non-null    object \n",
      " 2   Education Level      373 non-null    object \n",
      " 3   Job Title            373 non-null    object \n",
      " 4   Years of Experience  373 non-null    float64\n",
      " 5   Salary               373 non-null    float64\n",
      "dtypes: float64(3), object(3)\n",
      "memory usage: 17.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Statistical information of numeric features of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              Age  Years of Experience         Salary\n",
      "count  373.000000           373.000000     373.000000\n",
      "mean    37.431635            10.030831  100577.345845\n",
      "std      7.069073             6.557007   48240.013482\n",
      "min     23.000000             0.000000     350.000000\n",
      "25%     31.000000             4.000000   55000.000000\n",
      "50%     36.000000             9.000000   95000.000000\n",
      "75%     44.000000            15.000000  140000.000000\n",
      "max     53.000000            25.000000  250000.000000\n"
     ]
    }
   ],
   "source": [
    "print(df.describe())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Count of unique values for each categorical columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for column Gender, there is 2 unique values.\n",
      "for column Education Level, there is 3 unique values.\n",
      "for column Job Title, there is 174 unique values.\n"
     ]
    }
   ],
   "source": [
    "for col in ('Gender', 'Education Level', 'Job Title'):\n",
    "    print(f'for column {col}, there is {df[col].nunique()} unique values.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EDA (Exploratory data analysis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scatter plot for `Salary` and `Age` features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df['Age'], df['Salary'])\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Salary')\n",
    "plt.title('Scatter plot for Salary and Age')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scatter plot for `Salary` and `Years of Experience`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df['Years of Experience'], df['Salary'])\n",
    "plt.xlabel('Years of Experience')\n",
    "plt.ylabel('Salary')\n",
    "plt.title('Scatter plot for Salary and Years of Experience')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mean of `Salary` for each `Educational Level`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "educationSalary = df.groupby('Education Level').agg({'Salary': lambda x: x.mean()}).reset_index()\n",
    "bars = plt.bar(educationSalary['Education Level'], educationSalary['Salary'])\n",
    "for bar in bars:\n",
    "    plt.text(bar.get_x() + bar.get_width()/2, bar.get_height()//2, int(bar.get_height()), ha='center', va='bottom', fontsize=10, bbox=dict(facecolor='white', edgecolor='white', boxstyle='round,pad=0.2'))\n",
    "plt.title('Mean of Salary for each Educational Level')\n",
    "plt.xlabel('Education Level')\n",
    "plt.ylabel('Mean Salary')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Top 5 Mean of `Salary` for each `Job Title`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "jobTitleSalary = df.groupby('Job Title').agg({'Salary': lambda x: x.mean()}).sort_values('Salary', ascending=False)[:5].reset_index()\n",
    "bars = plt.bar(jobTitleSalary['Job Title'], jobTitleSalary['Salary'])\n",
    "for bar in bars:\n",
    "    plt.text(bar.get_x() + bar.get_width()/2, bar.get_height()//2, int(bar.get_height()), ha='center', va='bottom', fontsize=10, bbox=dict(facecolor='white', edgecolor='white', boxstyle='round,pad=0.2'))\n",
    "plt.xticks(fontsize=8)\n",
    "plt.title('Top 5 Mean of Salary for each Job Title')\n",
    "plt.xlabel('Job Title')\n",
    "plt.ylabel('Mean Salary')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Least 5 Mean of `Salary` for each `Job Title`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "jobTitleSalary = df.groupby('Job Title').agg({'Salary': lambda x: x.mean()}).sort_values('Salary', ascending=False)[-5:].reset_index()\n",
    "bars = plt.bar(jobTitleSalary['Job Title'], jobTitleSalary['Salary'])\n",
    "for bar in bars:\n",
    "    plt.text(bar.get_x() + bar.get_width()/2, bar.get_height()//2, int(bar.get_height()), ha='center', va='bottom', fontsize=10, bbox=dict(facecolor='white', edgecolor='white', boxstyle='round,pad=0.2'))\n",
    "plt.xticks(fontsize=7)\n",
    "plt.title('Least 5 Mean of Salary for each Job Title')\n",
    "plt.xlabel('Job Title')\n",
    "plt.ylabel('Mean Salary')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mean of `Salary` for each `Gender`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genderSalary = df.groupby('Gender').agg({'Salary': lambda x: x.mean()}).reset_index()\n",
    "bars = plt.bar(genderSalary['Gender'], genderSalary['Salary'])\n",
    "for bar in bars:\n",
    "    plt.text(bar.get_x() + bar.get_width()/2, bar.get_height()//2, int(bar.get_height()), ha='center', va='bottom', fontsize=10, bbox=dict(facecolor='white', edgecolor='white', boxstyle='round,pad=0.2'))\n",
    "plt.xticks(fontsize=10)\n",
    "plt.title('Mean of Salary for each Gender')\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Mean Salary')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Defining our data workflow"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preprocessing our data using `ColumnTransformer`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "cat_features = ['Gender', 'Education Level', 'Job Title']\n",
    "num_features = ['Age', 'Years of Experience']\n",
    "\n",
    "\n",
    "df.dropna(inplace=True)\n",
    "\n",
    "preprocess = ColumnTransformer([\n",
    "    # ('cat_transform', OrdinalEncoder(handle_unknown='use_encoded_value', unknown_value=-1), df.columns.get_indexer_for(cat_features)),\n",
    "    ('cat_transform', OneHotEncoder(handle_unknown='infrequent_if_exist'), df.columns.get_indexer_for(cat_features)),\n",
    "    ('num_features', MinMaxScaler(), df.columns.get_indexer_for(num_features)),\n",
    "], remainder='passthrough')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Enhancing our data processing using `Pipeline`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;preprocess&#x27;,\n",
       "                 ColumnTransformer(remainder=&#x27;passthrough&#x27;,\n",
       "                                   transformers=[(&#x27;cat_transform&#x27;,\n",
       "                                                  OneHotEncoder(handle_unknown=&#x27;infrequent_if_exist&#x27;),\n",
       "                                                  array([1, 2, 3], dtype=int64)),\n",
       "                                                 (&#x27;num_features&#x27;,\n",
       "                                                  MinMaxScaler(),\n",
       "                                                  array([0, 4], dtype=int64))])),\n",
       "                (&#x27;regressor&#x27;,\n",
       "                 TransformedTargetRegressor(regressor=LinearRegression(),\n",
       "                                            transformer=MinMaxScaler()))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" ><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[(&#x27;preprocess&#x27;,\n",
       "                 ColumnTransformer(remainder=&#x27;passthrough&#x27;,\n",
       "                                   transformers=[(&#x27;cat_transform&#x27;,\n",
       "                                                  OneHotEncoder(handle_unknown=&#x27;infrequent_if_exist&#x27;),\n",
       "                                                  array([1, 2, 3], dtype=int64)),\n",
       "                                                 (&#x27;num_features&#x27;,\n",
       "                                                  MinMaxScaler(),\n",
       "                                                  array([0, 4], dtype=int64))])),\n",
       "                (&#x27;regressor&#x27;,\n",
       "                 TransformedTargetRegressor(regressor=LinearRegression(),\n",
       "                                            transformer=MinMaxScaler()))])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">preprocess: ColumnTransformer</label><div class=\"sk-toggleable__content\"><pre>ColumnTransformer(remainder=&#x27;passthrough&#x27;,\n",
       "                  transformers=[(&#x27;cat_transform&#x27;,\n",
       "                                 OneHotEncoder(handle_unknown=&#x27;infrequent_if_exist&#x27;),\n",
       "                                 array([1, 2, 3], dtype=int64)),\n",
       "                                (&#x27;num_features&#x27;, MinMaxScaler(),\n",
       "                                 array([0, 4], dtype=int64))])</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">cat_transform</label><div class=\"sk-toggleable__content\"><pre>[1 2 3]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">OneHotEncoder</label><div class=\"sk-toggleable__content\"><pre>OneHotEncoder(handle_unknown=&#x27;infrequent_if_exist&#x27;)</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">num_features</label><div class=\"sk-toggleable__content\"><pre>[0 4]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">MinMaxScaler</label><div class=\"sk-toggleable__content\"><pre>MinMaxScaler()</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">remainder</label><div class=\"sk-toggleable__content\"><pre>[]</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" ><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">passthrough</label><div class=\"sk-toggleable__content\"><pre>passthrough</pre></div></div></div></div></div></div></div></div><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" ><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">regressor: TransformedTargetRegressor</label><div class=\"sk-toggleable__content\"><pre>TransformedTargetRegressor(regressor=LinearRegression(),\n",
       "                           transformer=MinMaxScaler())</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" ><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">regressor: LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-11\" type=\"checkbox\" ><label for=\"sk-estimator-id-11\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div></div><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-12\" type=\"checkbox\" ><label for=\"sk-estimator-id-12\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">transformer: MinMaxScaler</label><div class=\"sk-toggleable__content\"><pre>MinMaxScaler()</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-13\" type=\"checkbox\" ><label for=\"sk-estimator-id-13\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">MinMaxScaler</label><div class=\"sk-toggleable__content\"><pre>MinMaxScaler()</pre></div></div></div></div></div></div></div></div></div></div></div></div>"
      ],
      "text/plain": [
       "Pipeline(steps=[('preprocess',\n",
       "                 ColumnTransformer(remainder='passthrough',\n",
       "                                   transformers=[('cat_transform',\n",
       "                                                  OneHotEncoder(handle_unknown='infrequent_if_exist'),\n",
       "                                                  array([1, 2, 3], dtype=int64)),\n",
       "                                                 ('num_features',\n",
       "                                                  MinMaxScaler(),\n",
       "                                                  array([0, 4], dtype=int64))])),\n",
       "                ('regressor',\n",
       "                 TransformedTargetRegressor(regressor=LinearRegression(),\n",
       "                                            transformer=MinMaxScaler()))])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pipeline = Pipeline([\n",
    "    ('preprocess', preprocess),\n",
    "    ('regressor', TransformedTargetRegressor(regressor=LinearRegression(), transformer=MinMaxScaler()))\n",
    "])\n",
    "\n",
    "X, y = df.iloc[:, :-1], df.iloc[:, -1]\n",
    "X_train, X_test, y_train, y_test = train_test_split(X.values, y.values, train_size=.8)\n",
    "pipeline.fit(X_train, y_train)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Defining a dictionary for hyperparameter distrobutions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "param_distributions = {\n",
    "    'LinearRegression': {\n",
    "        'regressor__fit_intercept': [True, False],\n",
    "    },\n",
    "    'DecisionTreeRegressor': {\n",
    "        'regressor__max_depth': [None] + list(np.arange(1, 21)),\n",
    "        'regressor__min_samples_split': np.arange(2, 21),\n",
    "        'regressor__min_samples_leaf': np.arange(1, 21)\n",
    "    },\n",
    "    'ExtraTreeRegressor': {\n",
    "        'regressor__max_depth': [None] + list(np.arange(1, 21)),\n",
    "        'regressor__min_samples_split': np.arange(2, 21),\n",
    "        'regressor__min_samples_leaf': np.arange(1, 21),\n",
    "    },\n",
    "    'GradientBoostingRegressor': {\n",
    "        'regressor__n_estimators': np.arange(50, 501, 50),\n",
    "        'regressor__learning_rate': [0.001, 0.01, 0.05, 0.1, 0.2],\n",
    "        'regressor__max_depth': np.arange(1, 11),\n",
    "        'regressor__min_samples_split': np.arange(2, 21),\n",
    "        'regressor__min_samples_leaf': np.arange(1, 21),\n",
    "        'regressor__subsample': np.linspace(0.5, 1, 6)\n",
    "    },\n",
    "    'RandomForestRegressor': {\n",
    "        'regressor__n_estimators': np.arange(50, 501, 50),\n",
    "        'regressor__max_depth': [None] + list(np.arange(1, 21)),\n",
    "        'regressor__min_samples_split': np.arange(2, 21),\n",
    "        'regressor__min_samples_leaf': np.arange(1, 21),\n",
    "        'regressor__bootstrap': [True, False]\n",
    "    },\n",
    "    'Ridge': {\n",
    "        'regressor__alpha': np.logspace(-6, 6, 13),\n",
    "        'regressor__fit_intercept': [True, False],\n",
    "    },\n",
    "    'Lasso': {\n",
    "        'regressor__alpha': np.logspace(-6, 6, 13),\n",
    "        'regressor__fit_intercept': [True, False],\n",
    "        # 'regressor__normalize': [True, False],\n",
    "        'regressor__selection': ['cyclic', 'random']\n",
    "    },\n",
    "    'ElasticNet': {\n",
    "        'regressor__alpha': np.logspace(-6, 6, 13),\n",
    "        'regressor__l1_ratio': np.linspace(0, 1, 11),\n",
    "        'regressor__fit_intercept': [True, False],\n",
    "        'regressor__selection': ['cyclic', 'random']\n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hyperparameter optimizing using `RandomizeSearchCV`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "best_models = dict()\n",
    "best_params = dict()\n",
    "best_score = dict()\n",
    "X_train, X_test, y_train, y_test = train_test_split(X.values, y.values, train_size=.8)\n",
    "for model in param_distributions.keys():\n",
    "    print(model)\n",
    "    pipeline.steps[1] = (f\"regressor\", eval(f\"{model}()\"))\n",
    "    random_search = RandomizedSearchCV(pipeline, param_distributions=param_distributions[model],\n",
    "                                       n_iter=50, cv=5, random_state=42)\n",
    "    random_search.fit(X_train, y_train)\n",
    "    best_models[model] = random_search.best_estimator_\n",
    "    best_params[model] = random_search.best_params_\n",
    "    best_score[model] = random_search.best_score_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the models performances"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- we can see that the `GradientBoostingRegressor` has the best performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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KSEhQWlraKXl+AADUxJeHSjRldbYOFR27ob37jCj9vk90AFsFVC8+zKKO0VbtyfdUuFx5dbySVhwo0YoDJZr+dY4uSg7TVR0jNLqdXbEVrKwFAEBT0OB/A7rdbk2bNk0Wi0WLFy/WP//5T/3lL3/RmjVr1KVLF82ePVv79u2r9jrTpk1TYWGh5s2bp3nz5mn27Nn64IMP9Mgjj2jHjh2aPXt2uXPefvtt/fLLL/r55581evToU/H0AAColttr6rHv8nTF0kxfmJNgt+jdkc31yMBY2ayUWKFhMwxDU3rWfqUqQ9LQVja1jbL6trm80rL9JbrtyyPqOv+Qtue4Kr8AAACNWIMPdFavXq3du3fr6quvVt++fX3bY2NjNX36dDmdTs2fP7/Ka+zevVvbtm3TgAEDygUzd955p+Lj4/X222+rsLDQb98ll1yipKSk+nsyAADU0v4Cty5fmqnHN+f7RjYMaxWmNVcmakSbus1LApxOk7pEKCLEqPGbT4ukiBBDr1/UXFuuTtJnl7XQ7b0j1TriWLiTGG5Vl1j/Aee78twqcFGWBQBo/Bp8oLNmzRpJ0vDhw8vtS0lJkSStXbu2ymuUlUq1b9++3D6LxaI2bdqoqKhIGzdurGtzAQCoNwUur4Z/nKGv00qXfrYa0syzYvT+xc3V8ribWiAYxIVZ9PrweBlG9W9ALZIMQ3pjeLziwiwyDENnt7DpsXPi9MOEJC0dnaCpPSN1U49IWU6YBPyONUfUdf5h3fh5lj7cU6wiN+EOAKBxavBz6OzcuVOS1Llz53L7kpKSFBUVpV27dlV5jebNm0uS9u7dW26f1+vV/v37JUk7duzQsGHD6trkchwOR71f81RyOp1+fwPHo3+gMvSN+hci6ZZudv3l+yK1jrDoxfOjNLBFqFzOEgVbkQn9A5I0uLk0b1i0bl6Tr+KjC1cdP6dOWTRjD5FeGxKt85tX/D7qzFjpzDNLR6gdv/9QkccXgH64x6EP9zgUESJdnGzTFe1sGp5sk50SxaDCaweqQv9AZYK5b9jtNR+B3eADnby8PElSTExMhfujo6N9x1SmS5cu6tChgzZt2qRPP/1Ul1xyiW/f888/r+zsbElSbm5uPbXa38GDB+XxeE7JtU8lJoFGVegfqAx9o35dESUdaR+i8a3cinEUKDU10C2qG/oHukj6+GxpcXqI3j4Yov2OY+N1Wtu9+k2yW5cluhXlLqp1fz/kMDSuZYhWZoYox10a3BS5pQ/2OfXBPqciraYuiPdoRIJH5zfzKLTBj1VHGV47UBX6ByoTbH3DarWqU6dONT6+wQc69cEwDP3jH//QxIkTNWnSJI0ZM0YdO3bUjz/+qJUrV6pXr17atm2bLJZT81s9OTn5lFz3VHE6nUpLS1NSUpJsNlugm4MGhv6BytA36m7B7hKlF3t1Z69wv+0z2wWoQfWI/oET9eoo/cE0lV7g1J7DGerQsoUSo2wyjJMfQdNW0jldSycS/yrdpQ/3OfVJqlNHnKXjgAo9hpZmhGhZZoi+v7KZWoST6DR0vHagKvQPVKap9I0GH+iUjcypbBROfn6+4uLiqr1OSkqKlixZoieeeEKrV6/WsmXL1LNnT82bN0+rVq3Stm3blJCQUJ9N96nNkKmGxGazBW3bcerRP1AZ+kbt5bu8uvfrHC3YWSyLIZ2XHKHBLcMC3axTgv6BEyUZhpw5ppKiw+q1b1zcIVwXd5BcXlOrDpZo4Z5ifby3WLlOU0Nahqltswi/49/dVaRmYRYNbRWmUAtlWQ0Nrx2oCv0DlWnsfaPBBzplc+fs3LlTZ555pt++tLQ0FRQUaMCAATW61tlnn62333673PYXXnhBktS/f/+6NRYAgFranOnUTV9ka1d+aWmu15RWHHA02kAHON1CLYZGtLFrRBu7njovTl8cLJE9xD+w8XhNPbQ+V2nFXsWHWXR5e7uu6hiuIS3DFEK4AwBooBr8ONPBgwdLklauXFlu34oVK/yOORn79u3TunXr1KNHD/Xu3fukrwMAQG2YpqkXthZo5OIMX5gTHWro1WHNNPOs2AC3DmicbFZDF7e1a2gr/8D0qzSn0opLV8PKLvHqv9uLNPbTLPV4+7Cmf5Wj1YdK5PGaFV0SAICAafCBzrBhw9ShQwe9++672rJli297bm6unnzySdlsNk2cONG3/fDhw9q+fXu5CY4LCgpkmv6/iHNzczV16lR5PB7NnDnz1D4RAACOynJ4NHFFtv64PleuoysqD0gI1eorEjW+U0TVJwOod2e3sOmN4fEa1zFcEceN3sl0ePXaL4W6Ymmmei44rPu+zlFOCcugAwAahgZfchUSEqK5c+dq/PjxGjNmjMaNG6eoqCgtWrRIqampmj17ttq3b+87ftasWZo/f76ee+45XXvttb7tixcv1uzZs3XBBReoVatWysjI0JIlS5SZmamHHnpIo0ePLvfYTz31lLZv3y5J2rBhgyTp6aef1ptvvilJGjNmjC677LJT+fQBAI3Ml4dKNGV1tg4VHbspvOuMKD08IEY2llMGAiI8xNDl7cN1eftwFbm9WpZaooV7irQstUTFntIPBNOLvVq4p1hzBjGCDgDQMDT4QEeShg4dqqVLl2rOnDlauHChXC6XevXqpVmzZmncuHE1ukavXr3Uu3dvff7558rKylJMTIzOPvts3XHHHRo6dGiF53z22Wdau3at37ayMi9JateuHYEOAKDGvKapB9fn+sKcBLtFL1zQTCPbNN7J+oBgExFi0diO4RrbMVwFLq8+TXXo/d3F+uyAQ1e0Dy83p84da44ozmbRVR3DdVZCaJ1W6QIAoDaMnJwcCoLhx+FwKDU1VW3btm3UM4Lj5NA/UBn6Rs38kuPSRR9l6OwWNr08tJlaRlgD3aTTgv6BygRL38hzelXsNpV03M9slsOjbm8d1tFBPGobZdVVHcI1rmO4+jUn3KkPwdI/EBj0D1SmqfSNoBihAwBAsCp2mwo/bk6O7nGhWjo6Qb2bhcrK6jlA0IixWRRj89/2bYZLx/8UpxZ4NPfHAs39sUAdo626qmO4xnYIV594wh0AQP1r8JMiAwAQjEo8pmasy9HFizPkcPsPhu3b3EaYAzQCF7e169dJrfTM4DiltA7T8dNg7c736MktBRq6KEPnLExXoYvJlAEA9YsROgAA1LMduS7d9MURbcl2SZJmbszV4+fGBbZRAE6JZmEWXd8tUtd3i1SWw6OP95bOufPl4RKVrXQeZzMUGer/OeqREq+ahfHZKgDg5BHoAABQj+bvKNIfvs5R4dFROWFWqXscv26BpqC53aobu0fqxu6Ryij2aNHeYi3cXazL2of7HWeapoYtSldUqKGrOoTrqo7h6hIbGqBWAwCCFe8wAQCoB/kur+79OkcLdhb7tnWPDdGrF8brjHhu1ICmpkW4VTf3iNLNPaJkmv5ll99lurSvwCNJ2nYkX3/5Ll994kN1VcdwXdUhXB1jeIsOAKgevy0AAKijzZlO3fRFtnble3zbru8aob8Oii1XZgGg6TlxQmSHx9Q5LWxan+H0bfsh26Ufsl165Ns8ndk8VOM6huvKDuFqH83bdQBAxfgNAQBAHby0rUD/b0OuyuY7jQ419PT5cRrfKSKwDQPQYJ3fMkzLLmuh1AK3PthTrA92F+vbTJdv/+YslzZnufT3LfnaOamVQplEHQBQAQIdAADqINPh9YU5AxJC9eqweMolANRI26gQ3XVGtO46I1p78t36cE+x3t9drO+zSsOd0W3t5cKcJfuKdWaCTa0irIFoMgCgAeEdJwAAdTDjzGitOVyis1vY9PCAGNmsfJIOoPY6RIdoWp9oTesTrV15bi3cXazzkmx+x+Q5vfrdF9lyeqRzk2wa1zFcV7QPVxLhDgA0SQQ6AADUkNtr6tsMpwYlhfm2hVgMLRqVQEkEgHrTKSZE9/aLLrd9aapDJUen6vo6zamv05y6f12uBre0aVzHCF3Rwa4EO+EOADQVzNQIAEANHCj06IqlmbpsaaY2HTeRqSTCHACnxTmJNs04M1rdYo99JmtKWnPYqelf56j7W4c19tNM/feXQnlPWFkLAND4EOgAAFCNT/YVa8iHafoqzSmXV5qy+ojcXm6WAJxeHaJD9Mf+MfrmqkStvTJRf+gXrc4xx0bkeEzpi4MlevmnAlkMgmYAaOwouQIAoBIlHlMzN+TqpZ8KfdvaRFr17JA4hTAqB0CAGIah3vGh6h0fqof6R+uHbJc+ODqh8p58j67qWH6Vvelf5Whgok2j29kVa+MzXQBoDAh0AACowI5cl2764oi2ZB9bSviydnY9O6SZ4sK4GQLQMBiGob7NberbvHRi9u+zXGp5wiTJPx1x6bVfCvXaL4WyWaSU1nZd1TFcl7azKzqU1zMACFYEOgAAnGD+jiL94escFbpLy6rCrNJj58Tqpu6RMihjANBAGYahMxNs5bYvTXX4/u30SktSHVqS6lCYVRp5NNy5pK1dUYQ7ABBUCHQAADjOo9/m6e9b8n1fd4sN0WsXxuuM+NAAtgoATt60PlE6P8mmhXuK9eGeYh0q8kqSSjzSx/sc+nifQ+FWQ1d2sOuFC5oRXAMIaqZpKqvEq4MOQxElXiWHmY32dY1ABwCA41zW3q65P+bL6ZWu6xqhvw2KVSSfWgMIYhbD0KCkMA1KCtNj58RqXZpTC3cX68O9xUovLg13ij2mij3lb3o8XlNW5gwDEARySryav6NIL/9UoN35Hknh0sYj6hidpyk9ozSpS0SjK5sn0AEA4DhnJtj0t0FxirYZurpT+YlFASCYWQxD57cM0/ktw/TXQbFam+bUB7tLR+6MO2Ey5WK3qf7vHtYFrcJ0VcdwpbS2K8xKuAOg4VlxwKEbVmaryF1+FdI9+R49uD5Xj27K0+vD45XS2h6AFp4aBDoAgCYry+HRsz8W6MEBMQo97hPoyT0iA9gqADg9rBZDQ1uFaWirMD1+bqxOvA1avt+hw8VevbOrWO/sKlZMqKHR7ey6qmOELkoOk41wB0ADsOKAQxOWZ8k0Ve51TDq2rdhtasLyLC0Y2bzRhDoEOgCAJmnN4RJNWZWtg0VeGYY086zYQDcJAAImpIKyqiyHV7E2Q7nO0tuhPJept3YW662dxYq1GbqsfbjGdQzX0FZhfqE4AJwuOSVe3bAyW6Ypeas51ivJYko3rMzW1gktG0X5VfA/AwAAasHjNTXnuzxdsTRTB49ODDrv1yLllFT3NgAAmpbJPSL168RWentEc/2mc7hiQo+FNrlOU//7tUjjl2Xp0k8yAthKAE3Z/B1FKnKb1YY5ZbySitym3tpZdCqbddoQ6AAAmowDhR5dvjRTf9ucL+/R8bdDW4Vp1RWJjeJTGgCobzaroUva2vXS0Hhtn9hKb6bE65pO4YoKORbuDGsVVu68bzOc8ngrKn6oueNXqskq8co063Y9AI2LaZp6+aeCkzr3pW0FjeI1hZIrAECTsGRfsW5fc0RHSkp/eVsN6Y/9Y3RPnyhWcAGAGrCHGBrdLlyj24Wr2G1q+X6HPqhgMuXdeW6lfJyhxHCLrmwfrqs6huvcJJssNVw2uCmuVAOgekVurzIdXmUWl/69O9919DWidkxJu/M9OlLiVbzdWv8NPY0IdAAAjVqJx9SfNubqxW2Fvm1tIq3617BmOjep/KfKAIDqhYcYuqJDuK7oEF5u3wd7iiVJ6cVevfJzoV75uVCtIiy6skPpnDtnt6g83GmqK9UATVGJxywNaBweZTq8yig+9u/xnSLUJz7Ud+yXh0p0+dLMen38fJep+CB/GSHQAQA0ai9vK/ALcy5rZ9czQ5qpGZ/uAsAp0a95qMa0s+uzAw6VHP3w/FCRVy9uK9SL2wrVJtKqKzuE6+pO4eqfYPOd15RXqgEaA5e3LKDxKrPYoxibRWe1sPkdM35ZpnbnuZXp8CrPVXnJU9fYEL9AJ8Fe/+/bokODf4Q2gQ4AoFGb0itK7+0u1k85Lv1lYKxu7hEpo4bD/gEAtTe8tV3DW9uV5/RqaapD7+8u1soDDjmPzlq6v9Cj57YWaEeuS2+PTJDESjVAQ+T2mspxepVwQlnSoj3F+vygQxnFXmWVHBtZk+P0D2jGtLPrfynN/bbtynPXqEwq0+H/SpAUbtH5STa1CLcowW5Vgt2ihDBDT3xfoAyHt8IQuDKGpA7R1kbx4R6BDgCgUTFN0y+wCbMaeu3CeBW6Tb9PegAAp1aMzaIJnSM0oXOEckq8WpLq0MLdRVp5oERuUxp73Nw7ZSvV1PSm7PiVam7tFXVK2g80ZpkOj9YccirT4VFG2agah6c0pHF4leHw6kiJV4YhZd6Y7FcmuT7dqX//Uv0qUSeGMpKUGG7VkZLSkKg0nCn7UxrStLBb1NxuVbc4/6gi3m7VJ6NblLue2zT04PrcWj//qb2iGsUHfAQ6AIBG4/ssp+5Yk6OXhzZTr2bHwptOMfy6A4BAiguzaFKXCE3qEqEjJV4t3les0e1Ky6XKVqo5mfVmXtpWoKk9GXnZFB2/ClpEiVfJYWaT7Ac5JV5lHA1iMhxlYYznuMmDS//9l3NiNfy4EsXtOW797ovsaq9vmtKREq+aHzdKp0W4/8iWmFBDze0WtbBbS/8+GtR0qeD915LRCTWeIL0mJnWJ0KOb8lRcw6XLLSqdA2xi54hqjw0GvMMFAAQ90zT10k+FmrkhV06vdNMX2Vp5eQtFhAT/UFoAaGyahVl0XddI39fZJd46r1Tzn+1FcnhMRVgNhYeU/okIMRRuPfr30T/to0Io0QpyjXkVNNM0les0/UOZo38yij3qEReqyT0i/c7p/95h3wqeVdlf6P8zdmIoc7zIEOPYyJlwq1wnJCXXdIrQsFZhahFeOqomzFrzgKY+wxypNCx+fXi8JizPkqWakk2LJMOQ3hgeH7R95EQEOgCAoJbt8Oj2NTlamurwbQsPMZRTYiqC33IA0OAVVDExak3ku0y9uK1A6cXVfz7/zOA4Xd/t2A3xtiMujfg4Q+HW40Kg48Kg47c9cnas303gj9ku/ZDtqvDYE7eFWJreyJFTIdhWQTNNUwXuowHN0dEyuU5TE7v4jw6Z812e3theqAyHt1x4crxL2trLBToJdquOlLirbIfdKjlO+D9rFWHVI2fH+MqdWoRb1PxoiFPdB2LJkVYlRzac5b5TWtu1YGRzv75x/LMt++kLDzH0xvB4v5FKwY63ugCAoLX2cIluWZWtg0XH3v3c2TtKM8+Kka0WnxYBAAInqo4rzUSHGiqu4Aa/IhEh/o9V7DZVdPSPSqo+909nxfh9/WmqQ7M35VX7mGfEh2rNlYl+2+5cc0Q/57iOG0FkqTAIOjfJpvOSwnzneU1T69OdFYxAsshuVaMuOWooq6AVuUtHzMSHWRQVeiz4+OmIS//8Id9vVE2mwyNHBYPPru4U7hfyOdym33uZymRVcLFL2tjVP8GjFmUTBR/9UzZ6JsFuUWSIUa5vRIVadHef6Fo884YtpbVdWye01Fs7i/TStgK/UX8doq2a2qt09FasrXGMzClDoAMACDoer6knvs/X49/ny3v0HVzzMIteHNpMI9s0nk9dAKApiA+zqGO0VXvyPSe9Us07I5v7gplit6liz7F/H7+t8wlzelgNqVdciIo8R49xmyp0m/JU0JDwCsKgmogMKR+y/HTEpW8zXdWee/+Z0X6BTqHb1KhPMis9/vhA6I3h8X7Lwm9Id+rlnwpKy89OKEU7Fg5ZFBVqaMQJv0vznKWrCEWEGAoNwGij07kK2oKdRUor9vgmBi5bgrtsfprCo9/3N4bH6/L24b7z8l1evbWzuEaPkeXwKini2AiXlhFWtTw6QqZFuPXoxMCWciFNy4jyo2IePSe2Vs+vMYsLs+jWXlGa2jNSh/KK9eu+g+raLlmtYsIbbdhJoAMACCoHCj26ZVW2vkpz+rYNbRWml4Y2U6sK3ugAABo2wzA0pWdUnVaqOfe40KM2zkyw6aurksptd3mPC4KOhkLhJ4z8HN3OrlaRlnLHFXv8g6TuceVvuWoyeaskRVhrFyIdP9roxNvX3fluvbOr+sAh1mZo77XJftse+CZXb+4oXdUo1FIablU0X9Hw1nbd09d/1MfcH/LlNlUuRIos+/fR7a0irYoOrTh8OdlV0GZ/m6tBSWG+0TKZx5U+ZTq8Gt7arn+cF+d37oPrcytcnelEmSeU+B2/tLfF0NFltUvnoPEbOWO3lgsHb+sdpdt6s1pbfTEMQ/FhFiXbTcWHWRptmCMR6AAAgkxqgVvfpJeGOVZD+mP/GN3TJ0pW5icAgKDV0FaqCbUYirUZirVVfsyAFjYNaFHFAVX4/PJEeU1TjhPCnxMDoRPDIJvF0J29o/xGIBW7vb7zjg+XIkNPbkTRiWVpJ57r8koup6m8CuKVNlHlby+f3JKvHGf1j/3S0Gb6zXHfzy1ZTo39NEvhVind4a31KmimpFd/KdKrVSyvvS+//NwzLeyWcoGOodKRZGXzzLSwW9Umyv9DpLZRVn1zVaIS7BY1C7PU++S/QEUIdAAAQeXcpDD9sX+M/vNLof41rNlJfyoLAGg4muJKNRajdGRKRIjUvIbnxIVZTrrEZnyncA1tFVZh+FPk9vq2hVXwAUnv+FDlOr2VlrKVTURbURjkqKh+rQInjoAqdJvKLqnpWKbai7MZslfQ3gcHxMjlMX0ja1rYLYoPs1T7wVGoxVD3uNBT1VygQgQ6AIAGbW++W20irX5vpO7pE6X/6xEZ1G/kAQD+mvJKNadDVKj/JL618Yd+0VK/yifQNU1TDo9UUVHU/JTj5jeqIhBqH+0/4sVqSJ2ircp3eZXhOPmV0O7vF62usSFHR9ccm5+msrmAjp8XB2joCHQAAA3WWzuKdO/XOZreN1r3HvdG0moxFBfGUGYAaGya6ko1wc4wDIWHSOVn7pEuOsng7ZzEMG26uqWyHB51nn/4pNt2a69IxduZYw+NE4EOAKDBKXB59Yevc3yrRTz2XZ6GtgrTwMSTm6sAABA8muJKNahcfayCBjRW9G4AQIPyfZZTwxal+y39OalLhHo14zMIAGhKmtJKNahc2SpoJ6NsFTSgsSLQAQA0CKZp6sVtBRr5cYZ25pUOsY8ONfTK0GZ6dkgzRZ5k3T8AAAhuk7pEKCLEqPHNq0WlEzSfqlXQgIaCd8cAgIDLdng0aUW2HvgmV86jC1qc2TxUq65I1DW8GQMAoEkrWwXNMKq/gW0sq6ABNUEPBwAE1M85Lg35MF1LUx2+bXf2jtKyMS3UKYYyKwAAcGwVtPAQQ4bKT79cti08xNA7I5uzChqaBN4pAwACql2UVTE2iw4WedU8zKIXhzbTyDa8CQMAAP5YBQ3wR6ADAAioiBCLXh0Wr1nf5uqfg5upVQRLiwIAgIqxChpwDNElAOC0WpparJ25br9tveNDtWBkAmEOAACoEVZBAwh0AAD1wDRNZZV4ddBhKKvEK9M0yx1T4jH1wDc5mvhZtm5ala0ST/ljAAAAANRM0AQ6mzZt0jXXXKN27dopOTlZI0aM0MKFC2t1jV9++UW33HKLunXrpsTERJ1xxhmaMWOGjhw5Uuk5K1as0OjRo9WmTRu1bdtWl112mVatWlXXpwMAjUJOiVcvbC3QgPfS1Pv9I7pyY7h6v39EA95L0wtbC5RTUrpk1c5ct0Z+nKEXtxVKkr7PcmnBzqJANh0AAAAIakExh87q1as1fvx42e12jRs3TlFRUVq0aJEmT56s/fv366677qr2Ghs2bNDYsWNVXFys0aNHq2PHjvrhhx/00ksvacWKFVq2bJni4+P9znn77bc1depUJSQkaNKkSZKkhQsXauzYsfrPf/6jK6+88pQ8XwAIBisOOHTDymwVucuPtNmT79GD63P16KY83dwjUq/9XKiCo8eFWaVHB8bquq4sRw4AAACcLCMnJ6dBj3l3u90aOHCgDh48qOXLl6tv376SpNzcXKWkpGjfvn3auHGj2rVrV+V1zj//fG3btk1vvvmmRo8e7ds+d+5czZw5U5MnT9ZTTz3l256Tk6N+/fopJCREq1evVuvWrSVJBw4c0NChQyVJmzdvVnR0dH0/5YBzOBxKTU1V27ZtZbez0gz80T8glYY5E5ZnyTQlby3O6xobotcujFef+NBT1jY0TLx2oDL0DVSF/oGq0D9QmabSNxp8ydXq1au1e/duXX311b4wR5JiY2M1ffp0OZ1OzZ8/v8pr7N69W9u2bdOAAQP8whxJuvPOOxUfH6+3335bhYWFvu0ffPCBcnNzNWXKFF+YI0mtW7fWLbfcoqysLH388cf19CwBIHjklHh1w8rsWoc5EzqF64vLWxDmAAAAAPWgwQc6a9askSQNHz683L6UlBRJ0tq1a6u8RlpamiSpffv25fZZLBa1adNGRUVF2rhxY70+LgA0RvN3FKnIbdYqzJGkAS1sigxt8L92AAAAgKDQ4OfQ2blzpySpc+fO5fYlJSUpKipKu3btqvIazZs3lyTt3bu33D6v16v9+/dLknbs2KFhw4ZV+7hl28qOqY7D4ajRcQ2F0+n0+xs4Hv2jaTNNUy9ty6/1eYakF7fm68aOVpYVbaJ47UBl6BuoCv0DVaF/oDLB3DdqUyLW4AOdvLw8SVJMTEyF+6Ojo33HVKZLly7q0KGDNm3apE8//VSXXHKJb9/zzz+v7OxsSaXz8tTkccvmzanuccscPHhQHo+nRsc2JGUjm4CK0D+aphyXtKeg9pMZm5L2FHj14+79iqPiqknjtQOVoW+gKvQPVIX+gcoEW9+wWq3q1KlTjY9v8IFOfTAMQ//4xz80ceJETZo0SWPGjFHHjh31448/auXKlerVq5e2bdsmi+XUlAIkJyefkuueKk6nU2lpaUpKSpLNZgt0c9DA0D+aNrPAIynnpM+PTUxW2yhrvbUHwYPXDlSGvoGq0D9QFfoHKtNU+kaDD3TKRshUNhomPz9fcXFx1V4nJSVFS5Ys0RNPPKHVq1dr2bJl6tmzp+bNm6dVq1Zp27ZtSkhIqPBxT1zOPD8/3++Y6gTrrNo2my1o245Tj/7RNDVX3UYbJkTZZbcT6DRlvHagMvQNVIX+garQP1CZxt43Gnygc/x8NWeeeabfvrS0NBUUFGjAgAE1utbZZ5+tt99+u9z2F154QZLUv39/v8f97rvvtHPnznKBTlXz6wBAY5Va4NY/t9R+/hypdA6dDtFWNQtjUmQAAACgPjT4d9aDBw+WJK1cubLcvhUrVvgdczL27dundevWqUePHurdu/dpe1wACBa789y6e+0RDXgvTf/6peikrzO1VxQTIgMAAAD1pMEHOsOGDVOHDh307rvvasuWLb7tubm5evLJJ2Wz2TRx4kTf9sOHD2v79u1+ExxLUkFBgUzT9NuWm5urqVOnyuPxaObMmX77rrrqKsXExOjll1/WgQMHfNsPHDigV155Rc2bN9dll11Wn08VABocr2nqik8z9fr2IrmOrlMeYZVCLaWjbmrCIikixNDEzrWfTBkAAABAxRp8yVVISIjmzp2r8ePHa8yYMRo3bpyioqK0aNEipaamavbs2Wrfvr3v+FmzZmn+/Pl67rnndO211/q2L168WLNnz9YFF1ygVq1aKSMjQ0uWLFFmZqYeeughjR492u9x4+Li9MQTT2jq1KkaNmyYrrrqKknSwoULlZ2drX//+9++1a4AoLGyGIZu7xWlP67PVUyooSm9onRbr0htznJpwvIsmabkrep8SYYhvTE8XnGUWwEAAAD1psEHOpI0dOhQLV26VHPmzNHChQvlcrnUq1cvzZo1S+PGjavRNXr16qXevXvr888/V1ZWlmJiYnT22Wfrjjvu0NChQys85ze/+Y2aN2+uf/zjH3rzzTdlGIb69eun++67TxdeeGE9PkMACLxNGU79Y0u+Hh0Yq44xx3493Ng9QiUeU7/rHukLZVJaW7VgZHPdsDJbRe7S0Y/Hj4EsG70THmLojeHxGt668U5GBwAAAASCkZOTY1Z/GJoSh8Oh1NRUtW3btlHPCI6TQ/9ofL5OK9Hfv8/XigMlkqQbu0Xon4Ob1ejcnBKv3tpZpJe2FWh3/rEVsDpGWzW1V5QmdYlQrI2ROeC1A5Wjb6Aq9A9Uhf6ByjSVvhEUI3QAAPXLNE2tPlSiJ77P15rDTr99XxwsUYnHVJi1+lly4sIsurVXlKb2jNShvGL9uu+gurZLVquYcCZABgAAAE4hAh0AaEJM09Ty/aUjctZn+Ac57aKsuqdPtH7bNaJGYc7xDMNQfJhFyXZT8WEWwhwAAADgFCPQAYAmIrXAretWZuv7LJff9i4xIZreN0rXdI5QqIUgBgAAAAgGBDoA0ES0jLAqp+TYmlQ940L0h37RGtshXFaCHAAAACCoEOgAQCPk8pr66rBTw5LDfNtCLYbu6Rutf/9SqD/0i9aYdnZZKI0CAAAAghKBDgA0IiUeU2/+WqSnfshXaoFH665KVPe4UN/+67tG6MZuEcxxAwAAAAQ5Ah0AaASK3F69vr1Ic3/I18GiY2VV/9iSr5eHxvu+prQKAAAAaBwIdAAgiOW7vHrt50I9+2OBMhxev30jWofppu6RAWoZAAAAgFOJQAcAglBOiVcv/1SgF7YV6EiJ6bdvdDu7/tA3WgNa2ALUOgAAAACnGoEOAAShLw6W6LHv8n1fG5LGdgjXvf2idUZ8aOUnAgAAAGgUCHQAIAiYpuk3kfHl7e3qFhuinXluXdMpXNP7RqtbHEEOAAAA0FQQ6ABAA7a/wK25PxYoo9irf1/kP7nxM4PjlBhuVccYXsoBAACApoa7AABogPbku/X0lnz9b0eRXEfnOr4ny6m+zY/NizMoKSxArQMAAAAQaAQ6ANCA/Jrr0pNbCrRgZ5E8x811HBFiaNsRt1+gAwAAAKDpItABgAZga7ZLT27J1/u7i3X8mlXRoYam9IzU7b2j1NxuDVj7AAAAADQsBDoAEGCPfpunv2/J99sWZzN0e+8oTekZpbgwS4BaBgAAAKChItABgAA7q8Wx1akS7Bbd2TtKN/eMVHQoQQ4AAACAihHoAMBpYpqmvjzsVEyooTMTjs2FM6qtXRe3CdOFyXb9rnuEIkIIcgAAAABUjUAHAE4x0zS14kCJ/v59vtalO3Vhcpg+uCTBt98wDC0YmVDFFQAAAADAH4EOAJwiXtPUkn0O/X1Lvr7LdPm2f3GwRJsynBrQghWrAAAAAJwcAh0AqGcer6lFe4v1xPf52nbE7bevZ1yI7u0XrX7NQys5GwAAAACqR6ADAPXENE29vbNYT27J1/Zc/yCnb3yo/tAvWpe1t8tiGAFqIQAAAIDGgkAHAOqJYRh6fXuhX5hzdotQ3dcvRhe3CZNBkAMAAACgnrCUCgCcJIfblGmaftvu6xctSRrc0qYPLmmu5WNa6JK2dsIcAAAAAPWKEToAUEsFLq/+/Uuhnv2xQM9f0Ewpre2+fRcmh+nzy1uofwITHgMAAAA4dQh0AKCGcp1evfJToZ7fWqDsEq8k6YnN+RqefKycyjAMwhwAAAAApxyBDgBUI9vh0QvbCvXSTwXKcx4rsTIkJUVYVOwxFRFCSRUAAACA04dABwAqkVHs0bM/FujVnwtV4D4W5FgM6eqO4ZreL1o94lh+HAAAAMDpR6ADABU4WOjRWe+lqdhzLMgJMaSJXSI0vW+0OsXw8gkAAAAgcLgjAYAKJEdadV6STSsPlshmka7vFqlpfaLULoqXTQAAAACBx50JgCZvZ65bb+4o1EMDYmQ5bnnx+8+MVve4EN3dJ1qtIqwBbCEAAAAA+CPQAdBk/XTEpX9sydf7u4vlNaUBCTaNaR/u239uUpjOTQoLYAsBAAAAoGIEOgCanM2ZTv1jS74+2uvw2/7yT4V+gQ4AAAAANFQEOgCajA3pTv39+zx9ur/Eb3vzMIvuPCNKN/eIDFDLAAAAAKB2CHQANHo/Zrv00PpcrTrkH+S0DLforj7R+l23CEWGWgLUOgAAAACoPQIdAE3C8WFOm0irft8nStd1jZQ9xKjiLAAAAABomAh0ADQqpmnqUJFXyZHHVqU6Iz5Uo9vZ9dMRl+7pG62JnSNksxLkAAAAAAheBDoAGgWP19RHex164vs8lXikb65KlNVyLLR5ZnCcYm0WhVgIcgAAAAAEPwIdAEHN7TX13u5i/eP7fG3Pdfu2f7CnWOM7Rfi+bm63VnQ6AAAAAAQlAh0AQcnpMfXWziI9uSVfe/I9fvsGJIQqMZwABwAAAEDjRaADIKg43Kbe+LVQ//yhQPsL/YOc85Jsuq9ftC5KDpNhUFoFAAAAoPEi0AEQVB7emKtXfir023Zhcpj+0C9aQ1qGBahVAAAAAHB6EegACCpTekbqXz8VypR0SZsw3dsvWuckEuQAAAAAaFoIdAA0SEdKvHppW4E6RIdoYpdjkxt3jQ3VX86J1eCWNvVrbgtgCwEAAAAgcAh0ADQoGcUePb+1QP/6uVD5LlNto6wa3ylcocctN35776gAthAAAAAAAo9AB0CDcKjIo7k/5Os/vxSp2GMe217o0YZ0p85nfhwAAAAA8LEEugE1tWnTJl1zzTVq166dkpOTNWLECC1cuLBW1zh06JBmzJihQYMGKTk5WV27dtWoUaP01ltvyePxlDve4XDo8ccf16BBg5SUlKT27dvr6quv1rp16+rraQFN3r4Ct+79Okf93jmsF7YV+sIcm0W6qXukvh2fRJgDAAAAACcIihE6q1ev1vjx42W32zVu3DhFRUVp0aJFmjx5svbv36+77rqr2mvs2bNHKSkpys7OVkpKikaNGqX8/HwtXrxYt956q1avXq3nn3/ed7zD4dCVV16pb775Rr1799ZNN92k3NxcffTRRxozZoxef/11jRkz5lQ+baBRM01T936dq9e3F8p9bECOwq2Gftc9QnedEa3kSGvgGggAAAAADVi9Bjrp6ek6cOCAioqKNHjw4Hq5ptvt1rRp02SxWLR48WL17dtXknT//fcrJSVFs2fP1pVXXql27dpVeZ1nnnlGWVlZmjNnjm677Tbf9pkzZ2rIkCF688039cADD/iu88orr+ibb77R2LFj9eqrr8pqLb2xvO+++zRs2DBNmzZNQ4cOVXR0dL08T6CpMQxDpkxfmBMVYuj/ekbq9t5RSgwnyAEAAACAqtRLydWCBQt03nnnqUePHkpJSdEVV1zht3/mzJm6/PLLdejQoVpfe/Xq1dq9e7euvvpqX5gjSbGxsZo+fbqcTqfmz59f7XX27NkjSbr44ov9tsfFxem8886TJGVnZ/u2f/LJJ5KkBx54wBfmSFLHjh117bXXKjMzUx9++GGtnw/QVG3JcqrQ5fXbNq1PtJqHWXT/mdHack2S/nx2LGEOAAAAANRAnUfozJgxQ6+88opM01RoaKgMw5DL5fI7pmfPnnrmmWf0ySef6Oabb67V9desWSNJGj58eLl9KSkpkqS1a9dWe52ePXtqxYoVWrZsmd8InZycHK1bt05JSUnq3r27b3taWpokqX379uWuVbZt9erVuu6666p9bIfDUe0xDYnT6fT7GyhjmqbSCkp00GEoNN+hJNOUYRhVnrMpy6WntxZr2QGXHukfoSk9wn37WoZKm66MU5jVkOSSw+Gq/EJo8HjtQFXoH6gMfQNVoX+gKvQPVCaY+4bdbq/xsXUKdD755BO9/PLLatGihZ588kmNGjVKl19+ub755hu/4y699FIZhqFPP/201oHOzp07JUmdO3cuty8pKUlRUVHatWtXtde5++67tXTpUj344INasWKFevfu7ZtDJzw8XPPmzVN4+LEbzebNm2vXrl3au3evevTo4XetvXv3+rWtOgcPHqxw0uWGrizUAvLd0sdpIVpwKET7HRZJ4ZIK1caerwmt3Losya3oE15Nvsu16NXUUH2Tc2zEzdytBRoenqmwoJmOHSeD1w5Uhf6BytA3UBX6B6pC/0Blgq1vWK1WderUqcbH1ynQefXVV2UYhl566SVddNFFlR4XFxenNm3aaOvWrbV+jLy8PElSTExMhfujo6N9x1QlMTFRy5cv15QpU7R8+XJ99tlnkqTw8HBNnjxZZ5xxht/xI0aM0IYNG/T444/rlVde8ZVd7dmzR//73/8kSbm5uTV6DsnJyTU6rqFwOp1KS0tTUlKSbDZboJuDAPv8kFM3r8tXsbv8vgMOi57abdOLqTa9OiRaF7YM1ZdpLj35Y7HWZfifkBxh0R09I9S2TcLRETlobHjtQFXoH6gMfQNVoX+gKvQPVKap9I06BTrfffedEhMTqwxzyiQmJuqHH36oy8PVya5duzRx4kRFRkZqyZIl6tOnj3Jzc7VgwQI9+uijWrlypZYsWeILbm6//XYtXLhQ77//vrZv366hQ4f6Vrlq27attm7dKoulZsMMajNkqiGx2WxB23bUjxUHHLpuVb5MUzIr2F+2zeGWrv0iX51jrfo11380Wodoq6b3jdbEzhGyEeQ0Cbx2oCr0D1SGvoGq0D9QFfoHKtPY+0adAp2CggL16tWrRse63W6/yYVrqmxkTmWjcPLz8xUXF1ftdW6//XalpqZq8+bNSkpKkiRFRUXpnnvuUXp6ul544QW99957mjBhgqTSkT9Lly7V448/ro8//livvPKKWrRoocmTJ+uSSy7R6NGjlZCQUOvnAwSLnBKvbliZLdOUvNUcW7b/+DCna2yI7u0bras7hSvEQpADAAAAAPWpTjNZJCQkaN++fdUe5/F4tHPnTrVq1arWj1E2d05F89WkpaWpoKCg2hqz/Px8rVu3Tt26dfOFOce74IILJElbtmzx2x4XF6fHHntMW7ZsUUZGhrZt26ZZs2Zp9+7dkqT+/fvX+vkAwWL+jiIVuc1qw5wTJYVb9O8Lm2nd2ERN7BJBmAMAAAAAp0CdAp2BAwcqJydHy5cvr/K4d955RwUFBTr//PNr/RiDBw+WJK1cubLcvhUrVvgdU5myVbeysrIq3J+ZmSlJCgsLq1Gb3nnnHUnS+PHja3Q8EGxM09TLPxXU+jxDUkSIobEdwmUlyAEAAACAU6ZOgc7NN98s0zR1zz336Pvvv6/wmFWrVmnGjBkyDKPWK1xJ0rBhw9ShQwe9++67fiNocnNz9eSTT8pms2nixIm+7YcPH9b27dv9JiyOj49X165dtX//fr3++ut+18/JydGzzz4r6dhInTIVlXk999xz+uKLL3TZZZdpwIABtX4+QDDILvFqd76nwnlzqmJK2p3v0ZGS2o7rAQAAAADURp3m0Bk6dKhuueUWvfLKKxoxYoT69++vPXv2SCqds2br1q364YcfZJqmpk2bpjPPPLP2DQwJ0dy5czV+/HiNGTNG48aNU1RUlBYtWqTU1FTNnj1b7du39x0/a9YszZ8/X88995yuvfZa3/bHHntMkyZN0t1336333ntPffv2VU5OjpYsWaLMzExdccUVuvDCC/0eu1evXhoyZIg6d+4swzC0Zs0abd68Wf379/eFQEBjVOCqbZTjL99lKr7xzj0GAAAAAAFXp0BHkh5//HG1bt1af//737Vhwwbf9vnz50sqXRb8D3/4g6ZPn37SjzF06FAtXbpUc+bM0cKFC+VyudSrVy/NmjVL48aNq9E1Ro4cqWXLlmnu3Llat26d1q5dK7vdrm7duun++++vcPTQhAkT9OWXX2r16tUyDEOdO3fW7NmzNWXKlBqXZwHBKCq0buVS0XU8HwAAAABQNSMnJ6duH8UfVTaXzo8//qicnBxFRkaqV69eGjVqFKtBBRmHw6HU1FS1bdu2US/xhsqZpqkB76VpTy3LrgyVLlO+aXySDINQp6nhtQNVoX+gMvQNVIX+garQP1CZptI36jRC529/+5sMw9C0adMUFxena665Rtdcc019tQ1AgBiGoSk9o/Tg+tzqDz7B1F5RhDkAAAAAcIrVaVLkxx9/XO+++y7lR0AjNKlLhMJDah7MWFS6wtXEzhGnrlEAAAAAAEl1DHQSEhIUFRVVX20B0IDEhVl0fpKtRsdaJBmG9MbweMWF1ellBQAAAABQA3W68xo0aJB27Nghp9NZX+0B0EA4PaZcx60+bhz9c7yybeEhht4Z2VzDWzfe+lQAAAAAaEjqFOhMmzZNxcXF+stf/lJf7QHQQNishhZe0lz/OC9Wj58bozmDYtUh2up3TIdoq+YMitW237QkzAEAAACA06hOkyInJibqT3/6k2bNmqVt27bpuuuuU48ePRQRUfkcGm3btq3LQwI4jSyGoZt7HCurnNozUofyivXrvoPq2i5ZrWLCmQAZAAAAAAKgToFOv379fP9esWKFVqxYUeXxhmEoKyurLg8JIIAMw1B8mEXJdlPxYRbCHAAAAAAIkDqVXJmmWas/Xq+3+osCCJhcp1eXfpKhVQdLAt0UAAAAAEAV6jRC58iRI/XVDgANwP9bn6uv05y68tNM/f3cWP1fT1axAwAAAICGiPWFAUiSPtvv0Bu/FkmSokMNXdyWSY4BAAAAoKEi0AGgXKdX09bm+L6ePTBW7aLqNIAPAAAAAHAK1dsdW3p6uj7//HP9+uuvys/PV3R0tLp166aLLrpILVq0qK+HAXAKPLQ+VweKPJKki5LDdGO3yleqAwAAAAAEXp0DnZKSEj388MP673//K5fLVW5/aGioJk+erFmzZiksLKyuDwegni3f79C840qt5g6OY/UqAAAAAGjg6hToeL1eTZo0SV988YVM01SLFi3UtWtXtWzZUocPH9avv/6qjIwMvfzyy9qxY4feeecdbhSBBiSnxKu71x6b3Pwv58SqLaVWAAAAANDg1enObd68efr8888VExOjRx99VJMmTVJIyLFLejwezZ8/Xw8//LBWrlyp//3vf7ruuuvq3GgA9ePB9bk6VOSVJKW0DtP1XSm1AgAAAIBgUKdJkd9++20ZhqHXX39d119/vV+YI0lWq1XXXXed/vOf/8g0Tc2fP79OjQVQf/YXuLVwd7EkKSbU0D/Pp9QKAAAAAIJFnQKdrVu3qn379ho2bFiVxw0bNkwdOnTQ1q1b6/JwAOpRm6gQrbkyUecm2vToObFqQ6kVAAAAAASNOt3BFRcXq1OnTjU6tlmzZjp06FBdHg5APescG6LFlybIwsAcAAAAAAgqdRqhk5SUpF9//VXFxcVVHldUVKRff/1ViYmJdXk4AKeA1WJQagUAAAAAQaZOgc4FF1ygwsJCPfjgg1Ue9+CDD6qwsFBDhw6ty8MBqKOcEq8e3ZSnIrc30E0BAAAAANRBnQKdadOmKTQ0VP/97381ZMgQzZs3T5s2bdL+/fu1adMmzZs3T4MHD9brr78um82mu+++u77aDeAkPPBNjv7+fb4u+DBdP2S7At0cAAAAAMBJqtMcOt26ddOLL76o22+/XVu3bq0wsDFNU3a7XS+88IK6detWl4cDUAdL9hXrrZ2l5ZEZDq/iw+qU5wIAAAAAAqjOd3RXXXWVVq9erWuvvVaJiYkyTdP3JzExUddff71Wr16tsWPH1kNzAZyMnBKv7vkqx/f1Y+fEqnWkNXANAgAAAADUSb2sU9y1a1c9++yzkqS8vDwVFBQoKipKMTEx9XF5AHU045scHS4unTfn4jZhurZLRIBbBAAAAACoi3oJdI4XExNDkAM0IJ/sK9bbR0utYmyGnj6/GataAQAAAECQq1PJlcvlUmpqqrKzs6s8Ljs7W6mpqXK73XV5OAC1dOSEUqu/nhOrZEqtAAAAACDo1SnQmTdvnvr166f//e9/VR73v//9T/369dP8+fPr8nAAamnGuhylHS21uqRNmCZRagUAAAAAjUKdAp2PPvpIhmHot7/9bZXHTZw4UZK0aNGiujwcgFpYddChBbtKS61ibYaeHkypFQAAAAA0FnUKdLZv366WLVuqefPmVR7XokULtWrVSr/88ktdHg5ALQxuGaZZZ8cozCr9dVCcWkVQagUAAAAAjUWdJkXOyMhQnz59anRsy5YttW3btro8HIBaCLEYmtYnWmM7hKtdFGEOAAAAADQmdQp0IiMjlZ6eXqNjMzIyFBYWVpeHA3AS2kfX+2J2AAAAAIAAq1PJVc+ePbV//35t2bKlyuO2bNmi1NRU9ejRoy4PB6AaWQ6Pvs1wBroZAAAAAIBTrE6BzuWXXy7TNHXHHXdUunT5kSNHdMcdd8gwDF1++eV1eTgA1bh/Xa5GLs7QnzfmyuE2A90cAAAAAMApUqdajN/97nd67bXXtHXrVg0aNEg33nijzjnnHMXGxio3N1fr16/X66+/royMDHXr1k0333xzfbUbwAkW7SnWe7tLV7X6zy+FurVXlFqGMHcOAAAAADRGdQp07Ha7FixYoN/85jfavn27nnzyyXLHmKapHj16aP78+bLb7XV5OACVyHJ4dO/XOb6v/3ZunFqyqhUAAAAANFp1ni21Q4cOWrVqlf773//qo48+0rZt25Sfn6/o6Gj17t1bV155pa6//nomRAZOofvW5SrD4ZUkXdrWrgmdwgPcIgAAAADAqVQvy9/Y7XZNnTpVU6dOrY/LAaiFD/cU6/2jpVZxNkNPnR8nwzAC3CoAAAAAwKl0StYz/vbbb7Vhwwa5XC517txZKSkpjNABToHME0qtHqfUCgAAAACahFoFOvv379fbb7+tuLi4Cic4Lioq0k033aRly5b5bW/Xrp3mzZunM844o26tBeDnvq9zlXm01Gp0O7uuodQKAAAAAJqEWi1bvnTpUv3lL3/R7t27K9x/33336dNPP5VpmjIMQy1atJAk7d27V7/5zW9UWFhY9xYDkFRaarVwT2mpVbMwQ0+dR6kVAAAAADQVtQp0vvrqK0nS+PHjy+3btWuX5s+fL8MwdPnll2v37t365Zdf9M0336hr1646dOiQXn/99fppNQB1jglRn/hQSdIT58YpiVIrAAAAAGgyahXo/Pzzz4qMjFT//v3L7fvwww9lmqaaNWum5557TjExMZKkrl27as6cOTJNU59++mn9tBqAzogP1crLW+jVYc00viOlVgAAAADQlNRqDp2MjAx17Nixwn1ff/21DMPQxRdfrOjoaL99KSkpiouL088//3zyLQVQTqjF0PhOEYFuBgAAAADgNKvVCJ2cnBxZrRWXdXz//feSpAsuuKDC/a1bt1ZOTk7tWgfAT06JV06PGehmAAAAAAACrFaBTkREhA4fPlxu+4EDB5Seni5J6tevX4XnhoaGyjS5EQVOlmmaunvtEV30Ubq2ZDkD3RwAAAAAQADVKtDp2rWr0tLStHnzZr/ty5cvlyRFRUWpV69eFZ576NAhxcfHn1wrAWjh7mIt2uvQ1iNuTViepRJG6gAAAABAk1WrQCclJUWmaWrGjBnKyMiQJO3evVtPPfWUDMPQqFGjKlw2+eDBg0pLS1Pnzp1PuqGbNm3SNddco3bt2ik5OVkjRozQwoULa3WNQ4cOacaMGRo0aJCSk5PVtWtXjRo1Sm+99ZY8Hk+5491ut9544w2NHDlSnTt3Vps2bTRo0CDNnDlTaWlpJ/1cgNpKL/boD+tyfV/PGRSrMCtLlAMAAABAU1WrSZGnTp2qf/3rX9qwYYN69eql5s2bKz09XaZpymq16o477qjwvEWLFkmSBg8efFKNXL16tcaPHy+73a5x48YpKipKixYt0uTJk7V//37ddddd1V5jz549SklJUXZ2tlJSUjRq1Cjl5+dr8eLFuvXWW7V69Wo9//zzfudMnjxZH330kTp16qRx48YpLCxMGzdu1Ny5c7VgwQKtWrVKSUlJJ/WcgJoyTVP3fp2j7BKvJOnKDnZd1ZGJkAEAAACgKatVoBMfH6+33npL119/vdLS0nyjVKxWqx577LEK588xTVP//ve/ZRiGLrroolo30O12a9q0abJYLFq8eLH69u0rSbr//vuVkpKi2bNn68orr1S7du2qvM4zzzyjrKwszZkzR7fddptv+8yZMzVkyBC9+eabeuCBB3zX+fbbb/XRRx/prLPO0tKlSxUaGuo7Z8aMGXrppZf0n//8RzNmzKj1cwJq4/3dxfpor0OS1DzMor+fGxfYBgEAAAAAAq5WJVeSNHDgQH377bf697//rZkzZ+qJJ57Qxo0bNWXKlAqPP3LkiP7v//5Pjz/+uM4555xaN3D16tXavXu3rr76al+YI0mxsbGaPn26nE6n5s+fX+119uzZI0m6+OKL/bbHxcXpvPPOkyRlZ2eXO/7CCy/0C3MkadSoUZKkzMzMWj8foDbSijz6w7oc39f/OC9OLcIrXmkOAAAAANB01GqETpnIyEiNHTu2RsfGx8frlltuOZmHkSStWbNGkjR8+PBy+1JSUiRJa9eurfY6PXv21IoVK7Rs2TK/ETo5OTlat26dkpKS1L17d9/2Hj16SJK++OILPfDAA36hztKlSyVJw4YNq9FzcDgcNTquoXA6nX5/IzBM09Tv1+brSEnp5MdXtLNpVCsj4P2J/oHK0DdQFfoHKkPfQFXoH6gK/QOVCea+Ybfba3yskZOT06CXyrnxxhv14Ycf6osvvtCZZ55Zbn+bNm0UFxenH3/8scrrpKena/To0dq5c6dSUlLUu3dv3xw64eHheuWVVzRw4EC/cx544AG9+OKL6tSpk0aMGKGwsDBt2LBBmzdv1j333FPjcqtdu3ZVOOkyUJWl6VY9vD1MktQs1NTbA4rVLLSakwAAAAAAQclqtapTp041Pv6kRuicTnl5eZKkmJiYCvdHR0f7jqlKYmKili9frilTpmj58uX67LPPJEnh4eGaPHmyzjjjjHLn/PWvf1X79u01c+ZMvfzyy77to0aN0uWXX17j55CcnFzjYxsCp9OptLQ0JSUlyWazBbo5TVZJfrGsRpE8pvTEoGj1bZsQ6CZJon+gcvQNVIX+gcrQN1AV+geqQv9AZZpK32jwgU592bVrlyZOnKjIyEgtWbJEffr0UW5urhYsWKBHH31UK1eu1JIlS2S1ls5P4vV6dc899+i9997T448/rtGjRys8PFzffPONZsyYoZEjR+qjjz7SgAEDqn3s2gyZakhsNlvQtr0x+MMAu1LaRerjvcW6umtsoJtTDv0DlaFvoCr0D1SGvoGq0D9QFfoHKtPY+0aDD3TKRuZUNgonPz9fcXFx1V7n9ttvV2pqqjZv3uxbajwqKkr33HOP0tPT9cILL+i9997ThAkTJEnz5s3Tf//7X/31r3/V5MmTfdcZOXKkWrZsqQsuuECPPPKIPvjgg7o9QaAK/RNs6p/QeBNlAAAAAMDJqfUqV6db586dJUk7d+4sty8tLU0FBQXV1pjl5+dr3bp16tatmy/MOd4FF1wgSdqyZYtv2/Lly/32Ha9Pnz6Ki4vzOx6oD6bZoKe0AgAAAAA0EA0+0Bk8eLAkaeXKleX2rVixwu+YyrhcLklSVlZWhfvLlh8PCwvzbSubDbuipclLSkpUUFDgdzxQV6ZpavIXR/SP7/Pl9hLsAAAAAAAq1+ADnWHDhqlDhw569913/UbE5Obm6sknn5TNZtPEiRN92w8fPqzt27crNzfXty0+Pl5du3bV/v379frrr/tdPycnR88++6wk/9E45557riTpySefVElJid85f/3rX+V2uyscvQOcrAW7ivXBnmLN3pSna1dUHD4CAAAAACAFwRw6ISEhmjt3rsaPH68xY8Zo3LhxioqK0qJFi5SamqrZs2erffv2vuNnzZql+fPn67nnntO1117r2/7YY49p0qRJuvvuu/Xee++pb9++ysnJ0ZIlS5SZmakrrrhCF154oe/4m2++WfPnz9eqVas0cOBAjRgxQna7Xd98842+/fZbJSQk6MEHHzyd/xVoxA4XeTRjXY7v6+u6RQauMQAAAACABq/BBzqSNHToUC1dulRz5szRwoUL5XK51KtXL82aNUvjxo2r0TVGjhypZcuWae7cuVq3bp3Wrl0ru92ubt266f7779fNN9/sd3xMTIyWL1+uf/7zn/rkk0/05ptvyuPxKDk5WTfddJPuvfdetW7d+lQ8XTQxpmnq91/lKMdZWmZ1dadwXd4+PMCtAgAAAAA0ZEZOTg6TdcCPw+FQamqq2rZt26iXeGso3tpRpFu/PCJJSgy3aN3YRMXbrQFuVeXoH6gMfQNVoX+gMvQNVIX+garQP1CZptI3GvwcOkBjdqjIoxnf5Pi+fvK8uAYd5gAAAAAAGgYCHSBATNPU79ceUe7RUqtrOoXrMkqtAAAAAAA1QKADBMj8HUX6dH/pCmqJ4Rb9bVBsgFsEAAAAAAgWBDpAAJimqX//Uuj7+ilKrQAAAAAAtRAUq1wBjY1hGFo0qoX+silPmQ6PxlBqBQAAAACoBQIdIEDCQww9ek6sTJOF5gAAAAAAtUPJFRBghmEEugkAAAAAgCBDoAOcJqZp6s8bc/VrrivQTQEAAAAABDkCHeA0mfdrkZ7+oUAXfJiu17cXVn8CAAAAAACVINABToP9BW49tD5XkuTwlC5TDgAAAADAyeKuEjjFTNPUtK9ylOcqnfx4YudwjWrLqlYAAAAAgJNHoAOcYm/8WqQVB0okSa0iLPrroLjANggAAAAAEPQIdIBTaH+BW//vaKmVJD19fjPFhfFjBwAAAACoG+4sgVPkxFKr33aJ0CVt7QFuFQAAAACgMSDQAU6R40utkiMseuyc2AC3CAAAAADQWBDoAKdArtOr/7fhWKnVPwdTagUAAAAAqD/cYQKnQKzNojdTmqtDtFXXdo3QyDaUWgEAAAAA6k9IoBsANFZDWoZp7ZWJ8piBbgkAAAAAoLEh0AFOochQBsEBAAAAAOofd5tAPTFNUx/uKZbXZEgOAAAAAODUItAB6sl/finSjZ9n64qlmdqT7w50cwAAAAAAjRiBDlAP9ua79fDRVa3WHHZqZx6BDgAAAADg1CHQAerINE3dvTZHBe7SUqsbukUopTWrWgEAAAAATh0CHaCO/v1LkVYdKpEktYm06tGBsQFuEQAAAACgsSPQAepgb75bM4+WWknS3MFxirHxYwUAAAAAOLW48wROktc0dddxpVa/6xah4ZRaAQAAAABOAwId4CS99nOhVh9XavUIpVYAAAAAgNOEQAc4CXvy3frTxjzf188OodQKAAAAAHD6cAcKnIT4MIuu6RQuSZrcPUIXJlNqBQAAAAA4fUIC3QAgGMXYLHp6cDNd1TFcA1rYAt0cAAAAAEATQ6AD1MEwRuYAAAAAAAKAkiughrymqUNFnkA3AwAAAAAAAh2gpv71U6HOeT9N//2lUKZpBro5AAAAAIAmjEAHqIHdeW79+ds85btMTfsqR5uzXIFuEgAAAACgCSPQAarhNU3dseaIitylo3Ju7hGp/glMhAwAAAAACBwCHaAar/xUqK/SnJKkdlFWzTo7JsAtAgAAAAA0dQQ6QBV257k169s839fPDmmmqFB+bAAAAAAAgcWdKVCJE0ut/q9HpIa2CgtwqwAAAAAAINABKvXycaVW7aOs+jOlVgAAAACABoJAB6jArjy3Zm2k1AoAAAAA0DBxhwpUIK3Yo1ibIUm6pWekLqDUCgAAAADQgBDoABU4LylM665K0p29o/Tnsyi1AgAAAAA0LCGBbgDQUMWFWfToObGBbgYAAAAAAOUwQgc4ymuaMk0z0M0AAAAAAKBaBDrAUS9sK9TEFdk6VOQJdFMAAAAAAKgSgQ4gaUeuS7O/zdWnqQ6d/0GajpR4A90kAAAAAAAqFTSBzqZNm3TNNdeoXbt2Sk5O1ogRI7Rw4cJaXePQoUOaMWOGBg0apOTkZHXt2lWjRo3SW2+9JY/Hf1TGnDlzFBcXV+WfO++8sz6fIgLE4zV1x5ocOY52gQmdItQsLGh+NAAAAAAATVBQTIq8evVqjR8/Xna7XePGjVNUVJQWLVqkyZMna//+/brrrruqvcaePXuUkpKi7OxspaSkaNSoUcrPz9fixYt16623avXq1Xr++ed9xw8ZMqTSa73xxhs6ePCgUlJS6uX5IbBe2Fagb9KdkqSO0VbNZFUrAAAAAEADZ+Tk5DToWWDdbrcGDhyogwcPavny5erbt68kKTc3VykpKdq3b582btyodu3aVXmde++9V6+++qrmzJmj2267zbc9JydHQ4YM0f79+7Vly5Zqr5Oenq5evXopJiZGP//8s2w2W92fZAPjcDiUmpqqtm3bym63B7o5p9SvuS5d8GG6HB7JkLT40gSd3zIs0M1q0JpS/0Dt0DdQFfoHKkPfQFXoH6gK/QOVaSp9o8HXlaxevVq7d+/W1Vdf7QtzJCk2NlbTp0+X0+nU/Pnzq73Onj17JEkXX3yx3/a4uDidd955kqTs7OxqrzN//ny53W795je/aZRhTlPi8Zq648tjpVZTe0US5gAAAAAAgkKDL7las2aNJGn48OHl9pWVPK1du7ba6/Ts2VMrVqzQsmXLyo3QWbdunZKSktS9e/dqr/PGG29Ikm644YYatV8qTQeDidPp9Pu7sXrhp2KtzzhaahVl0f29w4LuexUITaV/oPboG6gK/QOVoW+gKvQPVIX+gcoEc9+ozYiiBh/o7Ny5U5LUuXPncvuSkpIUFRWlXbt2VXudu+++W0uXLtWDDz6oFStWqHfv3r45dMLDwzVv3jyFh4dXeY2vvvpKO3bs0MCBA9WzZ88aP4eDBw+Wm3Q5GKSlpQW6CafMniJDf91il2TIkKkHOxYp61CBsgLdsCDSmPsH6oa+garQP1AZ+gaqQv9AVegfqEyw9Q2r1apOnTrV+PgGH+jk5eVJkmJiKp6oNjo62ndMVRITE7V8+XJNmTJFy5cv12effSZJCg8P1+TJk3XGGWdUe42y0TnXX399TZsvSUpOTq7V8YHmdDqVlpampKSkRltW9u6PRSrxFkuSpnQP1+VnJAS4RcGjKfQPnBz6BqpC/0Bl6BuoCv0DVaF/oDJNpW80+ECnvuzatUsTJ05UZGSklixZoj59+ig3N1cLFizQo48+qpUrV2rJkiWyWq0Vnp+Xl6cPP/xQUVFRGjduXK0eO1gnYbLZbEHb9ur88Wy7eicU64VtBfrTOc1kD2nw00k1OI25f6Bu6BuoCv0DlaFvoCr0D1SF/oHKNPa+0eADnbKROZWNwsnPz1dcXFy117n99tuVmpqqzZs3KykpSZIUFRWle+65R+np6XrhhRf03nvvacKECRWe//7776uoqEjXX3+9oqKiTu7JoEG5okO4Lm9vl2EYgW4KAAAAAAC10uCHJZTNnVM2l87x0tLSVFBQUG2NWX5+vtatW6du3br5wpzjXXDBBZKkLVu2VHqN119/XVLtJkNGw0eYAwAAAAAIRg0+0Bk8eLAkaeXKleX2rVixwu+YyrhcLklSVlbFU95mZmZKksLCKl6yeuvWrdq0aZN69uypgQMH1qzhaHD+9VOB3t9VJNM0A90UAAAAAADqpMEHOsOGDVOHDh307rvv+o2gyc3N1ZNPPimbzaaJEyf6th8+fFjbt29Xbm6ub1t8fLy6du2q/fv3+0balMnJydGzzz4r6dhInROVTYZ83XXX1dvzwun1c45LD67P1U2rjuimL47IS6gDAAAAAAhiDT7QCQkJ0dy5c+X1ejVmzBhNmzZNDz30kIYMGaIdO3bo4YcfVvv27X3Hz5o1S+ecc44+/vhjv+s89thjCgkJ0d13360rr7xSDz/8sO666y6dffbZ2r59u6644gpdeOGF5R7f6XRqwYIFstlsmjRp0ql+ujgF3F5Tt395RE5v6ddtoqyyUGoFAAAAAAhiDX5SZEkaOnSoli5dqjlz5mjhwoVyuVzq1auXZs2aVeMVp0aOHKlly5Zp7ty5WrdundauXSu73a5u3brp/vvv180331zheYsXL1Z2drauuuoqxcfH1+fTwmnyzI8F2pRZWnbXNTZED/aPCXCLAAAAAACoGyMnJ4faE/hxOBxKTU1V27Ztg36Jt5+OuDRsUbqcXsliSJ+ObqGBibZANyuoNab+gfpF30BV6B+oDH0DVaF/oCr0D1SmqfSNBl9yBZwst9fU7WuOlVrd2TuKMAcAAAAA0CgQ6KDRmvtjgb47WmrVjVIrAAAAAEAjQqCDRmnbEZf++l2epNJSq+cvaCZ7CBMhAwAAAAAaBwIdNEoPb8j1lVrd1TtKZ7eg1AoAAAAA0HgQ6KBRen5IM41pZ1f32BD9kVIrAAAAAEAjExTLlgO1lRRh1bzh8TpS4qXUCgAAAADQ6DBCB42WYRiKt1sD3QwAAAAAAOodgQ4ajcV7i5Xt8AS6GQAAAAAAnHIEOmgUtma79LsvsnXuB+lavLc40M0BAAAAAOCUItBB0HN5Td325RG5vFJ6sVffZjoD3SQAAAAAAE4pAh0Evae25GtLtkuS1DMuRDPOZFUrAAAAAEDjRqCDoPZjtktPfJ8vSbIa0vMXNFOYlVWtAAAAAACNG4EOgpbLa+r2o6VWkvT7PlHqn2ALbKMAAAAAADgNCHQQtJ48rtSqV1yI7qfUCgAAAADQRBDoICj9kO3SE5sptQIAAAAANE0EOgg6ZaVWbrP063v6ROtMSq0AAAAAAE0IgQ6CTogh3dorUjE2Q72ahei+M6MD3SQAAAAAAE6rkEA3AKgtwzB0bddIXZhsV4HLS6kVAAAAAKDJIdBB0GodaZVkDXQzAAAAAAA47Si5QtDYnecOdBMAAAAAAGgQCHQQFL7Pcmrg+2m6/csjyinxBro5AAAAAAAEFIEOGjyn59iqVm/uKNJ/fikMdJMAAAAAAAgoAh00eE98n6+tR0rLrc6ID9XtvaMC3CIAAAAAAAKLQAcN2uZMp57cki+pdLny54fEycaqVgAAAACAJo5ABw2W02Pq9jVH5DFLv763X7T6NrcFtlEAAAAAADQABDposB7/Pl/bjiu1urdvdIBbBAAAAABAw0CggwZpc6ZTT1FqBQAAAABAhQh00OCUeEzd9uWxUqs/UGoFAAAAAIAfAh00OPkurxLDrZKkPvGhurcfpVYAAAAAABwvJNANAE6UYLfqg0ua69+/FGlgok2hFkqtAAAAAAA4HoEOGiTDMHRTj8hANwMAAAAAgAaJkis0GG6vGegmAAAAAAAQFAh00CB8m+HU2e+n6YuDjkA3BQAAAACABo9ABwHncJu6/csj2pPv0dhPs7QslVAHAAAAAICqEOgg4P66OU+/5LolSf2ah+qi1mEBbhEAAAAAAA0bgQ4CamOGU3N/LJAkhVqk54c0Y1UrAAAAAACqQaCDgCkrtSqbC3nGmTHqHR8a2EYBAAAAABAECHQQMHO+y9P2o6VWZzYP1e/7RAW4RQAAAAAABAcCHQTEhnSnntlaWmpls0jPX9BMIZRaAQAAAABQIwQ6OO0cblN3rPEvterVjFIrAAAAAABqikAHp913WU6lFngkSf0TQjWNUisAAAAAAGqFQAen3XlJYVo7NlEXJofp+SGUWgEAAAAAUFshgW4AmqZOMSH64JKEQDcDAAAAAICgxAgdAAAAAACAIEOgg9Pim7QSPfBNjgpd3kA3BQAAAACAoEegg1Ou2G3qjjU5enFboYZ8mK59Be5ANwkAAAAAgKAWNIHOpk2bdM0116hdu3ZKTk7WiBEjtHDhwlpd49ChQ5oxY4YGDRqk5ORkde3aVaNGjdJbb70lj8dT4Tler1dvvPGGRo0apXbt2qlVq1Y666yzdPvttys/P78+nlqj9+imPO3IKw1xmtstah1hDXCLAAAAAAAIbkExKfLq1as1fvx42e12jRs3TlFRUVq0aJEmT56s/fv366677qr2Gnv27FFKSoqys7OVkpKiUaNGKT8/X4sXL9att96q1atX6/nnn/c7p6SkRDfccIM+/fRT9e7dW7/97W8VFham/fv3a/ny5XrooYcUHR19qp52o7AurUTPby2QJIVZpeeHNJOVVa0AAAAAAKiTBh/ouN1uTZs2TRaLRYsXL1bfvn0lSffff79SUlI0e/ZsXXnllWrXrl2V13nmmWeUlZWlOXPm6LbbbvNtnzlzpoYMGaI333xTDzzwgN91/vznP+vTTz/Vn//8Z/3+97/3u57Xy1ww1Slye3XHmiMyj379UP8YdYsLDWibAAAAAABoDBp8ydXq1au1e/duXX311b4wR5JiY2M1ffp0OZ1OzZ8/v9rr7NmzR5J08cUX+22Pi4vTeeedJ0nKzs72bT948KBeeeUVnXfeeeXCHEmyWCyyWBr8f19APbopTzvzSkvZBrYI1R29owLcIgAAAAAAGocGP0JnzZo1kqThw4eX25eSkiJJWrt2bbXX6dmzp1asWKFly5b5jdDJycnRunXrlJSUpO7du/u2f/jhh3K73Ro7dqzy8/O1ZMkS7d+/Xy1atFBKSoqSk5Nr/BwcDkeNj20InE6n398n45sMl17YWihJCrNIT54TKZezRK56aSECqT76Bxon+gaqQv9AZegbqAr9A1Whf6Aywdw37HZ7jY9t8IHOzp07JUmdO3cuty8pKUlRUVHatWtXtde5++67tXTpUj344INasWKFevfu7ZtDJzw8XPPmzVN4eLjv+M2bN0uScnNzNXDgQB0+fNi3z2az6U9/+pPuuOOOGj2HgwcPVjrpckOWlpZ2Uuc5PNKd39llHh0ANrWdU/bcg0rNrc/WIdBOtn+g8aNvoCr0D1SGvoGq0D9QFfoHKhNsfcNqtapTp041Pr7BBzp5eXmSpJiYmAr3R0dH+46pSmJiopYvX64pU6Zo+fLl+uyzzyRJ4eHhmjx5ss444wy/4zMzMyVJf/vb33TRRRfpgw8+UOvWrfXVV1/p97//vR566CF169ZNI0eOrPaxazOapyFwOp1KS0tTUlKSbDZbrc9/8edipTqKJElnJ4RoxqB4JkJuROraP9B40TdQFfoHKkPfQFXoH6gK/QOVaSp9o8EHOvVl165dmjhxoiIjI7VkyRL16dNHubm5WrBggR599FGtXLlSS5YskdVauqR22aTHLVq00Ouvv66IiAhJ0iWXXKK5c+fqmmuu0bPPPlujQKc2Q6YaEpvNdlJtv6tvmCzWED25JV8vDo1XZAQTITdGJ9s/0PjRN1AV+gcqQ99AVegfqAr9A5Vp7H2jwQc6ZSNzKhuFk5+fr7i4uGqvc/vttys1NVWbN29WUlKSJCkqKkr33HOP0tPT9cILL+i9997ThAkT/B532LBhvjCnTEpKisLCwvTdd9+d7NNq1KwWQ3f3idbkHpGKDmXiaAAAAAAA6luDv9sumzunbC6d46WlpamgoKDaGrP8/HytW7dO3bp184U5x7vgggskSVu2bPFt69q1q6TS1bROZLFYFBUVFXSTHZ9uhDkAAAAAAJwaDf6Oe/DgwZKklStXltu3YsUKv2Mq43KVrq2UlZVV4f6y+XLCwsJ828pCnl9++aXC47OystSuXbvqmt9kbEh3akN68M0gDgAAAABAMGrwgc6wYcPUoUMHvfvuu34jaHJzc/Xkk0/KZrNp4sSJvu2HDx/W9u3blZt7bEml+Ph4de3aVfv379frr7/ud/2cnBw9++yzko6FOJI0ZMgQde/eXatWrdLnn3/u226aph555BFJ0tixY+v1uQarQpdXt6zO1iWfZGjmhlw5PWagmwQAAAAAQKPW4OfQCQkJ0dy5czV+/HiNGTNG48aNU1RUlBYtWqTU1FTNnj1b7du39x0/a9YszZ8/X88995yuvfZa3/bHHntMkyZN0t1336333ntPffv2VU5OjpYsWaLMzExdccUVuvDCC33HW61WPffcc7riiit0zTXX6PLLL1dycrLWrVunb7/9Vv369dM999xzOv8rGqxZ3+ZpT37psuzr052ysqAVAAAAAACnVIMPdCRp6NChWrp0qebMmaOFCxfK5XKpV69emjVrlsaNG1eja4wcOVLLli3T3LlztW7dOq1du1Z2u13dunXT/fffr5tvvrncOWeffbZWrFihOXPmaNWqVcrPz1ebNm00ffp0TZ8+XZGRkfX9VIPOmsMlevmnQklSuNXQc0OasUQ5AAAAAACnWFAEOpJ01lln6d133632uBdeeEEvvPBChfsGDBig//znP7V63J49e5Yr00KpQpdXd6454vv64bNi1Dk2aLoUAAAAAABBq8HPoYOG68/HlVqdl2TTrb0YsQQAAAAAwOlAoIOT8uWhEr1yQqmVxaDUCgAAAACA04FAB7VWcEKp1cyzYtQphlIrAAAAAABOFwId1Noj3+Zpb8GxUquplFoBAAAAAHBaEeig1m7oFqm+8aGUWgEAAAAAECDUyaDWzogP1YrLW2hLlotSKwAAAAAAAoAROjgpoRZDZ7WwBboZAAAAAAA0SQQ6qJGduW45PWagmwEAAAAAAESggxrId3k1dlmmLvwoXZsznYFuDgAAAAAATR6BDvyYpqmsEq8OOgxllXhlmqb+tCFPqQUebTvi1p+/zQt0EwEAAAAAaPKY0RaSpJwSr+bvKNLLPxVod75HUri08YhahufqcLFXkhQZYujp8+MC2k4AAAAAAECgA0krDjh0w8psFbnLz5FTFuZI0qQu4eoQTZcBAAAAACDQKLlq4lYccGjC8iwVu02Zkqqa9vjfvxRpxQHH6WoaAAAAAACoBIFOE5ZT4tUNK7NlmpK3+sNlmtINK7OVU1KTowEAAAAAwKlCoNOEzd9RpCK3WaMwRyoNfYrcpt7aWXQqmwUAAAAAAKpBoNNEmaapl38qOKlzX9pWINOsqjgLAAAAAACcSgQ6TVR2iVe78z1VzplTEVPS7nyPjlB2BQAAAABAwBDoNFEFrrqNsMmv4/kAAAAAAODkEeg0UVGhRp3Oj67j+QAAAAAA4OQR6DRR8WEWdYy2qraxjCGpY7RVzcLoOgAAAAAABAp35U2UYRia0jPqpM6d2itKhsEIHQAAAAAAAoVApwmb1CVCESFGjTuBRVJEiKGJnSNOZbMAAAAAAEA1CHSasLgwi14fHi/DqL4jWCQZhvTG8HjFUW4FAAAAAEBAcWfexKW0tmvByOYKDzFkSOXm1CnbFh5i6J2RzTW8tf30NxIAAAAAAPgJCXQDEHgpre3aOqGl3tpZpJe2FWh3vse3r0O0VVN7RWlSlwjF2sj/AAAAAABoCAh0IKm0/OrWXlGa2jNSh/KK9eu+g+raLlmtYsKZABkAAAAAgAaGIRfwYxiG4sMsSrabig+zEOYAAAAAANAAEegAAAAAAAAEGQIdAAAAAACAIEOgAwAAAAAAEGQIdAAAAAAAAIIMgQ4AAAAAAECQIdBBhaxWa6CbgAaM/oHK0DdQFfoHKkPfQFXoH6gK/QOVaQp9w8jJyTED3QgAAAAAAADUHCN0AAAAAAAAggyBDgAAAAAAQJAh0AEAAAAAAAgyBDoAAAAAAABBhkAHAAAAAAAgyBDoAAAAAAAABBkCHQAAAAAAgCBDoAMAAAAAABBkCHQAoBZM0wx0ExAAfN8RSF6vN9BNAAAARzWk38sEOmg0uOHCqeb1emUYRqCbgdPM4/HwfUfAmKYpi6X07ZrL5Qpwa3A6NaQbBgDAMWW/l6XS94mBRKCDoFf2Q3T8DRfhDupT2ZvqshfvP/7xj5o3b14gm4TToOy1xWq1SpIeeeQRff7554FsEpqQ43+3rV27ViNHjtTmzZsD2yicVsffMKBmTNP0/c7mvSCO5/V66ROoNz///LN++9vfyuFwyGq1at26ddq7d29A2sJvCgStshflsputL7/8Um+88YZSU1P5NB31quxN9a5du/T4449r7dq1atmyZYBbhVOt7LVl9+7duu222/Tll18qMjIywK1CU2G1WpWZmak9e/boX//6l8466yx1796dG5JG7vhPepcuXarRo0crKysrgC0KHmWjKS0WS7mRlfzcNG1ut1sWi0WGYcjhcAS6OWgE0tLSdPDgQd1zzz268MILdf3116uwsDAgbQkJyKMC9aDsF7XD4dDUqVO1atUqxcTE6KWXXtLUqVN1/fXXy+v18gkX6szj8ejpp5/WRx99pOjoaL3yyivq3r17oJuFU8zhcOjBBx/U/v37FR4erjfffFMtWrQIdLPQSJ34+6q4uFjXXXedNm3apCuvvFKPPvqoQkJ429bYWa1WHT58WEVFRXrllVd01llnyW63B7pZQaEshH/66ae1fv16JSUladiwYRo7diwf9DVxISEhcjqdmjlzpvbs2aM+ffpo+PDhOu+882SaJv0DNVIWDBuGobPOOkumaeqtt97SlVdeqS+++CJg7eJOF0HLNE299NJLevrpp9WqVStt3rxZCxYs0Lnnnqt//vOf2rt3rywWC5/KoFbcbne5bVarVa1atVJBQYHy8vIIcxqhir7vdrtdzZs311dffSW3260WLVrweoJ65/V6K/zwISwsTNOnT5fdbldCQgJhTiN14mvKwYMHNXbsWF166aXq2rWrZs+ezcjAGjp06JBGjBihN954QxdeeKGcTqcef/xxPf3005IYpdOUbd68WWeddZZ+/PFHde/eXZ9//rkmTJig7777jjAH1fJ4PL7gr6y/7N+/XwMGDNA555wT8MEDBDoIChVNDLh7924tX75czzzzjJKSkhQXF6cePXrouuuuU2Jioh599FFJ4oUatVJ20/Thhx9q5cqVvnrY8ePH66KLLlJmZqY2bdokiQkrG5Oy7/vSpUu1adMmHTlyRJJ0xx136KyzzlJmZqb27t0rwzD4vqNeWSwWWSwWbd68WbNmzdL//vc/7du3TxaLRcOGDdPFF1+szz77LNDNRD0rC/JOfI8SHR2t6667Tvn5+erVq5ekwE+42RCV/Z8cH9J8/vnnatasmb755htNmTJFt99+u9LT0/Xmm2/K4XDwfrAJME2zwp+X5cuXq2PHjnrnnXc0a9YsLV26VOeff76mT5+u9PT0ALQUwcI0TVmtVt98dv/973+1du1a9ejRQ0899ZSuu+46bdmyRQsXLpQUmNdrAh00eB6Px5d8Hl9H3qlTJ/32t79VeHi43w3WGWecoauvvlpr167VqlWrJHHjjZpbtWqVevXqpUceeUR33323xo8fr/fff19hYWEaP3682rdvrzfffFMSE1Y2JosXL1a3bt00c+ZMTZgwQTfccIM2btyouLg4TZw4UYWFhVq6dKkkvu+oX06nU/fdd59GjRqlLVu26G9/+5vGjBmjd955R2FhYZo2bZoOHDigV199VRK/zxqDspXLLBaLNmzYoKeeekqffvqp8vLyFB0drTFjxqhnz5567733JPGac7zjJ6t3u906dOiQb98PP/ygbt26KSQkRPfcc48uueQSjRkzRu+++y5la01A2bxJZfOPHT+J/LJly9S+fXuFh4fL7XYrJCREzzzzjH744Qd9/fXXkhjBhfLKRuVkZWXpN7/5ja6//np99NFHmjRpkn7/+99r7969Gj16tPr3768XX3xRLpfLV/p5OvEbAg1Kbm5uuQmlrFarDhw4oEmTJmns2LG69tpr9frrr0uShg8friuuuELvv/++0tLSJJV+0l5WFzt79mxJvBlCxU68MSooKNBf//pXXXnllVq/fr3+97//6dJLL9Wdd96p77//Xueee64uuOACbd682Xdzz81V8DnxTdu+ffv02GOP6f/+7//0+eef6/nnn1dsbKx+97vfyeFwaNKkSerSpYtWrlypLVu2SOL7jpNT0Sd3mzZt0sqVK/XRRx/pvffe0+bNmzVgwAD997//1Zo1a9SnTx9NnTpVs2fPVmFhIb/PGgHDMFRYWKipU6fqyiuv1LJly3THHXfo8ssv1+bNm9WxY0fdcccd2rhxoz777DMZhsEoHR37pFwqXaTgrrvu0oQJE3z7s7Oz9d1336lr16765Zdf9N577+mf//yn2rVrp++++47JpRu5sr7xxz/+Ueeff74WLlyo7du3S5L69eun7du3y+v1KiQkRG63W4mJiRo5cqQ+/vhjSYzob+rK3hu++uqr+vHHHyUd6xP/+te/VFxcrA0bNujdd9/VwoUL9cYbb+i1115T8+bNdfnll8vhcOif//ynpNIBCBs2bDht7xV5V4AG4/PPP9eIESO0Y8cOv+3fffedLrnkEkVGRmrq1KmKi4vT73//e73++uuKi4vTuHHjZLfbfT9EktShQwddcsklSk9P13fffXe6nwoauLI3xmVzLLlcLknSxo0b9cMPP+jGG2+U1WpVv379NHv2bHXr1k1PPfWUJOmqq65SYmKi5s+fr4KCAm6ugkjZPDllZVNlv2i/+OILHTp0SFOmTFFkZKQuvvhiPfHEE/J6vfr73/8uSZo8ebIyMzO1aNEiv1GDQE2UlQGU3XAcOHDAt33jxo2y2Wzq2LGjb+TG9OnTFRoaqk8++UQej0e33HKLmjdvrhkzZvjOQ/CorARk06ZNWr16tRYtWqR169bJ7Xb75gAcOXKkRo0apZkzZ0oqvVltSt/39evXKy8vz2+bYRhatWqVhgwZogcffFCbNm3S1q1b9eGHH0qSLr30Un399de67rrr9Mknn2jQoEGSpNTUVP3nP//xjcRA41DRhzOXXHKJNm7cqBdffFFTpkxR+/btJZUGOl6vV/PmzZNU+vNUXFys9PR03zFN6ecLx77fx090nJubqz/84Q9auHChCgoKJEk5OTlauXKlpk+frubNm+u1117T7373O5199tkaO3asJGno0KEaOXKknnrqKd1xxx3q0qWLli9fftr6FO9I0WBcdNFFevXVV9WvXz+/7WvWrFFSUpKefvppXXfddXruued06623au7cudqyZYsGDRqkiy++WJ9//rnf8MpRo0bpyy+/VP/+/U/zM0FDV3ZT9fLLL+uWW27R6tWrJUmJiYmS/FdQk6QZM2bo448/VnZ2tnr06KHzzjtPv/76q19/Q8NXNk/O888/rwceeEBbt26VJDVr1kwRERG+X7xut1utWrXSLbfcojfeeEOSNGzYMPXo0UOff/65du7cGZgngKBVVgbw008/6ZprrtGUKVN8czK5XC4VFhYqNjZWpmnKNE3169dPXbp00Y8//iir1arExETdeuutWr9+vYqKivgkOUiUBcdlv3MyMjIklQY8n332mdq1a6d27drJMAwlJCRo1qxZ+vnnn7V69WpFR0frxhtvVG5ubpOb1DcnJ0e/+93vdPfdd0s6NiLy559/1vTp0zVs2DA99thjuueee9S/f3/9+c9/liSNHTtW/fv314YNG/TWW29p//79Wr16tW666Sbt2rVLPXr0CNRTQj0qC8jLXgfLPqzZvXu38vPz9dZbb2n48OFKSEhQWFiYJOmyyy5Tr1699Pjjj+vTTz/V/v37tXTpUmVlZencc8+VxAidpuT4lc3K/nY6nYqNjdWsWbO0YMEC34CAuLg4HT58WJs2bdKll16qJ598Uvfdd5+WLl2q/v37Kzc3V3Fxcbrzzjs1a9YseTweffDBB3rwwQdPW/kVgQ4ahLI3sX379tW2bdu0YsUK3761a9eqdevWioqKktPplCTNnj1b+fn5WrZsmUJDQ3XxxRcrPj7e90mWJMXExCg2NpbSCJTzww8/6Pzzz9ezzz6r/v37KyoqSlLpm8YBAwbotddekyRfzX1YWJiSkpK0e/duSdKNN96ot956S0OGDAnME8BJWbdune/7265dO9/NkdVqVVJSkt5//31Jx4Kf8PBwJSQkKDU1VZL08MMP67XXXlO3bt0C8wQQ1J555hmlpKSobdu2uvvuu32/zyZMmKD09HQtXLhQFovF9+YyMTFRu3fvlsvlUkhIiG644QatX79eERERgXwaqIXjJ7y+5ppr9PDDDysjI8P3Jr+oqEg2m813/IgRI5SQkKC1a9dKKp0TcNSoUVq+fHmFK6E1VtHR0Zo9e7Y++eQTbd682fe8y8qm7rvvPnXq1EkTJ07UQw89JJfL5VsI49lnn1XXrl01bdo03Xzzzbrhhht09tln66OPPlKXLl0C+bRQD8puxK1Wq7KysvTnP/9Zixcvltfr1b59+yRJH3/8sZ599lk9+uijuvTSS3XttdcqMzNTjz76qAYPHqzbbrtNY8eO1e9//3vdddddGjFiRICfFU43wzCUk5Oj2267TS+88IKKi4t9r8V33323wsPD9eabb/omzB4xYoRmz56tc845R998841uuOEGGYahzZs364UXXlD6/2/vruOqyLsHjn9IRVBQwUIRxbVw7e4W7FwTFRUDu7BFFBMLMbBX7AQ71k4MBKy1aUQxkO77+4PXnQVjd5/fs8+Cet7/7HrvzNw7znXmO2e+55w3bzAyMmLIkCG4u7vTpEmTf3V/fowrg8ixMqdAqAexDg4OLFq0SMlfrF27Nnfu3FEGPsnJyWhpadG2bVsuXLgAQLVq1ejVqxeDBw/+7DN+lAGQ+LIvtaPesGED5cqV4969e4wcOVKZll2pUiUaNGjAlStXOH78uLK8n58fZmZmVK5cGcgIFqoDAj/KE9NvzacpDikpKaxYsYKmTZty584dRo0apRzPli1bUqpUKY4cOYK/v7+yzvPnzyldujQlSpQAoEiRIpQsWVKCxOJPqdubZhYaGsqxY8dYt24dy5cvp02bNvz0008AmJqaMmTIECZPnsz169eJiYkhKiqKy5cv07t3b3R0dACUJ81fOqeJnCktLY05c+ZgbW2Nubk5Xbt2JT4+HoCuXbty584dfH190dbWVlJ/ixcvTmhoKAAFChRgxowZHD9+/IcYy6SnpyupiW3btqVVq1Y4ODgo7+vo6FC8eHFiYmKU12rWrImVlRWbNm3izZs3yiyMGzduMG/ePG7dusXChQsB6Rb2PVDfKyxbtowqVarg5+dHeno6iYmJtG7dmqZNm+Lo6KjUnqpZsyaJiYkMGzaMvHnzsn79es6fP8/SpUt5/vz5F+8bxPcvPT2d3bt3s2fPHpycnBg8eDDXrl1Txnfq8646TbNx48aYmZlRsGBB9PX1AYiIiGDt2rX4+voq5+/sop2tny5+WOoIu/pJ+IEDByhUqBCNGzfG2dmZ/v37c+HCBSpUqEDDhg3x9PRkyZIlzJkzB11dXdLS0ggKCqJSpUrKNm1sbLJrd0QOpB4Uqn9jN2/epGzZsmhqahIQEEDNmjWBjK5WSUlJBAcH06hRI0aOHEl4eDg2NjZYW1uTmprKlStXWLRoETo6Ol+cpilyDvVx19LSIi0tjcePH1O2bFmCgoIICgqiW7duQMbMP5VKRUREBK1atWLSpEnMnDmTtm3b0qdPH4KCgrh58yZr1qwBsk7P/RFurMT/T+b0mps3b/Ly5Ut69+6NtrY2vr6+qFQqnj9/zpUrV4iIiCAsLIwJEybg7OzMs2fPGDx4MKampoSEhFCiRAn69Onz2Weoz2kiZ8lcI0nt0aNHnD17lkOHDlGvXr0s79WoUYOWLVtiZ2fHkSNHKFy4MK9fv+bBgwfY2dkpyxUoUABA6czzPUlMTMzSfUp9br1z5w5Hjx6lUqVKLFmyhBMnTtC2bVtl/Hf9+nV69uwJgKGhIcWKFePjx48sWLCAlStXoqOjQ+nSpSldujTwR7fU7Og+I/55p0+fZteuXXh4eNC8eXNl9lqePHlwcnJi7NixFC5cmKSkJHLlysXs2bN58eIFcXFx6OnpYW5ujrm5eXbvhsgG6rGcpqYm1tbWnDhxgsjISMqUKUPfvn3p3r07Tk5OdOrUiV27drF+/Xpq165N69atCQ4OZt68eXh5eVGmTBlOnz5N9erVcXNzw9TUNFv3SyMqKkoeL4tsc/jwYaZNm0bhwoXp1KkTw4YNQ09PDwcHB7y9vVm5ciWVK1fG3d2duXPnMmXKFOrUqcPDhw9ZuXIly5Yto23bttm9GyIH8/DwYOHChVSrVo3Ro0dTr149xo4di5+fH6GhoVhaWhIXF8eHDx+IiYnh+vXrmJiY4OHhQVBQEB8+fGD8+PHKLA3xbVi/fj2rVq2iYcOGODg4YGFhgbW1NUlJSbx584by5csTGhpKbGwsJUqU4NChQ+jp6bFkyRJevXpFamoqs2fPxsTEJLt3RXxjQkJCGDlyJI8fP6Z9+/aMHDmSokWLsmjRIjZt2oSBgQENGjQgPj6e4OBgdHV1uXjxItHR0Tx58oRbt25hbm5O+/bts3tXxN+UOR3K29ub2NhYWrZsybVr1+jduzdHjhwhT548+Pj4EB4eTkJCAmPHjiU6OpoePXoQHR3NTz/9hL+/P5UrV2bDhg1KTbfv1cSJE4mPj2fdunXKayqViiVLlrBs2TKGDBlCYmIie/fuxdjYWJk92a1bN3R1dZkyZQpVq1YFwNnZmefPn3Pjxg12795N9erVf6gUte/Vp0HS9PR0NDQ0mD9/Pnfu3OHQoUNER0cTEhJCdHQ0hoaGyoPemJgYcuXKxeXLl5k+fToDBw7E3t4+u3ZF5ACZg+LqwM7evXsZMWIEfn5+3L17lyVLlqClpcX48eOpXbs29evXZ8aMGQwcOJBcuXJx5swZAgICCA4OpkWLFjRv3jyb9yqDBHTEv0Z9cVX/Izp8+DCOjo4MGzaMQYMGkZiYiKGhIQAfPnygefPmWFlZMX36dPLmzcvKlSvZt28fiYmJpKen4+zsLANe8VWpqalMmzaNkydPMnXqVBo3bkzevHnJnz+/0k4wMTGREiVKUKxYMeLi4ujUqRMODg4MGDDgs+2pn/DJrJycLS4ujlGjRuHj48PMmTOpUqUKhQsXxsjIiICAAC5fvkyePHkoUqQI5cuX5/bt20ydOpVVq1bRtGlTIOvN2ZeeugvxNcHBwQwdOhRTU1Pmzp2LkZGRMj0b4MqVK5ibm6NSqZRWyq1ateLOnTtffGIsv79vx/Pnzxk9ejQhISH06tWL4cOH8/HjRxYvXszRo0cxMTGhatWqREZGEhwcTI0aNfDw8CA0NBR/f398fX2pVq0a7dq1y+5d+Z9Qj/3U/7179y7GxsaYmZkpy7x9+5ZffvmFnj17MmzYMCCjA6qtrS2DBw9m1qxZeHt7M3/+fAICAhg4cCBPnjzh8ePHynm8Q4cOjBo1Krt2U/wDMl+DExISuHr1KhUrVlTOp2vWrGHHjh3kyZMHXV1d8uTJw9WrVylbtixDhw6lR48ezJ07l8ePH3Pnzh0mTJjAuHHjsnenRI4QExODq6srZcqUoWPHjgD06NEDbW1tDh8+TFRUFMuXL2fTpk2MHTsWLy8vihQpwrRp06hdu3Y2f/uvk4CO+J/LHBFNTU0lNTWV3LlzM2PGDO7fv8+RI0dITk4mKioKXV1dUlNTMTY2Zu3atWzYsIGFCxdibW0NZEzPDQwMzNKpIHMqhPgxfWkq+rt37xgwYAC//PIL/fv3Jzk5GV1dXZKSktDR0fnsyd2JEydYunQpW7Zs+ezGSp705Uxfutl9/Pgxo0aNwtHRkUaNGpGSkoKOjo7y309t27aNvXv3snfvXvLmzZvlPTnu4mvUT4o/vfZ4e3vTv39/fHx8yJs3L69evcLAwID3798rrXHVUlJSmDJlClFRUbi5uWUJ/Mh17dvi5+fHsGHDqFOnDg4ODhgYGGBkZARkjFvOnz+vjFtKly6Nh4cHc+bMwc/Pj3z58n22ve8pkKeuNfe1c+n169epXr06uXPn5v3795QrV44DBw4oRUWTkpJwc3Nj6dKl+Pr6UrRoUQIDA9m4cSOPHz8mLS2NlStXUqJECUqXLo2joyODBg2Sf0PfAVdXV1avXk3BggVJS0ujdu3aShq0l5cX3t7e1KtXj/z582NqasqsWbPIlSsXW7duZfv27Uq3tE+v7eL7tnfvXqpUqfJZV7stW7Ywe/ZsqlWrRp8+fWjUqBHFixfn2rVrdOrUiQ0bNtC1a1cgI5C8e/du9u/fD8DYsWOZOnVqlhTRnOT7SsYVOZL6Rnv16tVcuXKF3r1707lzZwoVKkRQUBBz5szh5cuXJCUlcfv2bczMzNizZw/29vZ4enry66+/UqFCBczNzcmdO7fyD1R9Ey8X7B+X+oZb/Rt7+fIlxsbG5MuXj48fPxIYGMirV69wd3cnKCiIwMBA3r59S+fOnRk5ciQ3btzg7du3HDt2jOPHjzNmzJgvPiWXm/qcRX3c1Tc8ERER5M+fn1y5cvHhwwd8fHx4+/YtW7duJSQkhMePHwPQp08f2rdvz/nz50lPT2fPnj2cPn2amTNnkjdv3s9uAOS4iy/JHOh7+PAhr1+/xtLSEhMTE3Lnzo2+vj5Tp04lLS2N1NRUbt++TXx8PIsXL6ZDhw6cPn2aW7duKWk469atyxLMAanPlVN9babmy5cvSU9PZ9WqVQC8f/+exMREYmJiMDExyZIarg7w9OrV66tB5O8lmKMOTGloaPD777/j5eVFsWLFqFq1KlWqVCE4OJh27dqxbNkyBg0aRHR0NFWrVsXb21sJ6OTKlYvGjRuzaNEili1bxtKlSzE3N2f+/PlZztnqhzHqJgfyb+jbFRcXh4uLC2fPnmXZsmW0aNGCmzdvYmNjQ+3atRkwYAAdOnSgc+fOWdaLjY2lcePGQMb1/nv5dyT+vocPH7Jp0yY2btyY5fXHjx+zceNGXFxc6N27d5breM2aNbGxscHR0VEJ6DRr1owmTZpQpUoVbt26xYABA3JsMAeky5X4Fzx48IB69eqxZcsWrK2tMTY2BqBDhw706tVLmUrZpk0bDh48SGhoKO7u7gCMGjWKPHnyKE+6MvveigOK/5z6ZHzw4EGqVq3K0KFDqVu3LgcOHKB06dJMnDiRkydP8uuvv6KhoUGlSpWoUaMGa9eu5fnz58TExLB9+3bi4+O5cOFClm4aIudSH/ft27dTo0YNBg4cSPPmzbl16xb16tVjxIgRODo6smnTJmJiYihVqhQaGhqsWrWKjx8/EhoaysKFC0lJSeHq1avK1H65ARB/h6amJh8+fKBPnz506dKFWbNm0aNHD1asWEHVqlWZM2cODx8+JHfu3NStW5cVK1bQqVMn5syZo6Qdh4WFMXHiRK5fv06VKlWye5fE36AueK2hocGjR4/w9/cnLi4OyEgL0dLSwsnJiXHjxinT8zt16oS/vz/p6ekcOnQIZ2dnatasSXBwMLa2tp+dc763ILKWlhaxsbEMGjSI5s2b8+DBA5ycnLC3t8fb2xszMzOGDRvGypUref/+Pebm5pQtWxY/Pz/8/PyU7SQkJGBgYMDmzZu5deuW8vrr169ZtmwZ3bp1w9HRkYEDB2JpaZkNeyr+P968eUN4eDhAlu6R6sC4q6srHTt25N27d7i7uxMfH4+joyPv379HS0uLqKgoLl68yLFjx2jUqBEfPnxQAoESzPkxZP7dpKenY2lpyW+//Ya5uTlJSUnKe56enqSmptK6dWsA5VoMGUHjESNGkJCQwPLly4GMGbSampqMHDmSbdu2UapUqX9xr/5zknIl/lGf1smBjDbkr1+/Ztu2bX9rG126dKF58+aMHj36f/lVxTdKPTNL/Rvbvn07S5cuxd7eno4dO3LgwAF27txJt27dmDx5Mu/evaNgwYLExsZiYGDAuXPnmD17Nrt27aJEiRJERERQrFgxQOrk5GTq465+4uvi4oKHhweTJ0+mRo0a/Prrr5w/f545c+bQoUMHwsPDKVasGFFRURgZGbF+/Xr27dvHiRMngIwbAXXtBjnu4s98KfVu0qRJBAcHs2TJEkxNTfH09GTYsGF4enoqtZgyW716NefOnWP37t1oamqiq6urvPc9pdd87169esWoUaN4/Pgx+vr6FC5cmKFDh2Jtbc26dev49ddfadSoEWXKlKFYsWJ4eHiQnp7OkSNHcHd359KlS3Tq1IlevXpl9678K3777TdsbW35+eefWb9+PWZmZpw9e5axY8dSp04dtmzZQlRUFLVq1aJ3797MnTuX69ev4+zsjLa2Ns7OzhgZGbFy5UrMzc0pUqQIHTp0QE9PT/mMOXPmkJyczLRp0yS15hvy/v17evfuTfny5XF1dVVeV4/tIiMjMTExYcOGDaxYsYImTZowYMAAhg8fTosWLVi+fDkhISFMnDiRoKAg2rdvz6xZs7Jxj0R2Uf9mMl+rV6xYQUREBBMnTqRQoULMmjWLc+fOcf369SzrZLZy5UqcnJx49uyZMvngWyFTHMQ/Qj0gVf9DUv8jiYuLIyQkBAMDAwDOnDlDbGwsgYGBVK1alebNm5OWlkZISAixsbG4uLgQEhJCixYtvrh98ePKnF4VFRVFWFgYlpaWXL58mR49ejBs2DCSkpJ48eIFQUFBGBoakpKSQsGCBUlJSUFbW5tHjx6xevVqSpcujbGxMZqamkowJ3O7YZFzZD7ur1+/RkdHhwIFCnD16lWmTp1K3759SUpKIjo6mtevX5OWlkZaWhrFihUjKSkJQ0ND7t27x+HDh6lWrRra2tpoaWkpwRw57uJr1L899XXt6NGj6OvrU6VKFby8vDhy5Ajm5ubKzIsKFSpkqYcSFhZGcnIyR48exc3NDQcHhyxTtr+39JrvzafjjtjYWCZPnoyBgQGnTp0iV65cbNiwAVtbW27cuMHo0aM/exB15coV5Slxnz59GD58+Fe3/z3S1dXF1NSUrl27KufcRo0akZSUhIaGBqmpqRgZGTFjxgymTp1Knz59qF+/PtOmTcPJyYk+ffrw8eNHypcvnyUlOnNdnhkzZnyxPprI2QoUKEDLli25cOECly5dokmTJlluyE1MTAgJCeHgwYNMnDiRIUOGkJSURJEiRdi6dSv9+vWjevXqzJo1i5IlS36xFpX4/t24cYOpU6dy6dIlNDU1OXbsGM2aNUNbW5sTJ07QtGlTrK2tqVWrFnv27OHChQs0a9ZMCehERUVx79496tevT9++fYmPjydPnjzZvVv/se9rbqfINupBydatWxk6dCjTpk3j+vXr6OvrU6dOHe7fv4+ZmRmurq5s2rSJw4cP06dPH4KCgvDx8WH58uV0796dlJQUTpw4QcWKFb+4ffHjUl/kb9++TalSpdi1axevX7/mwYMH/PLLL2zcuJGyZcsSGBjIyZMnGTp0qDLIc3NzY/DgwUrKn7u7+2c1K763qe7fC/VxOXnyJOXLl2fHjh2EhYXx4sULunbtiqurKz/99BMfPnzg9OnTdO7cGS0tLVJTU1m0aBG9e/emXbt2lClThoULF352LpHjLr5G/duIj49nypQpTJo0iaSkJF69ekXNmjV58uQJ1tbWTJ8+nZEjR3Lp0iWqV69OUlIS7969Y9u2bdjY2LB9+3bc3Nyws7P74vZFzqKewq8+V5w4cYLnz58TEhKCj48PK1asoESJEly+fBkPDw9q1KiRZdp/REQEYWFhuLi4cOrUKdq0aQOg3HB+uv3vWePGjWnUqBHHjh0jKiqKN2/e0KtXL969e0eBAgWU2bYDBw6kTJkyODs7AxlBHy8vL3bu3MmePXuUFAr448m6+t+PBHO+XXZ2dujp6bFr1y5SU1OzpMEAPH36lFu3btGjRw8gY2atiYkJZmZmbN26FYCff/5Zgjk/MF1dXd68ecOIESOoWLEiCxYs4MOHD4wePZoiRYpw4MABIiMjqVGjBvXr12fmzJkkJSWRlpYGgIeHB56ennz48AETExOmT5/+TQZ0JOVK/L+oT7jqmThv3rxh8ODBvHjxgsGDB+Pt7U1cXBwdO3Zk+PDhXL16lcTERIoUKYKxsTH6+vrUrFkTBwcH+vbty9WrVylSpAiVKlUCfownV+LPfZrm8OjRIxYtWkS1atUoWLAgNjY2aGho0KlTJy5fvoylpSUTJkxQCpq9ffuWS5cu0bp1a4KCgjhx4gQdO3ZUimpLB6Oc6dO0zbt377J79250dXWpXbs27dq1IzExESsrK548eUKFChWYMmWK0uo3ODiYR48eYWVlxYULF7hw4QIDBgzAwsIiy/aF+JJPrz2zZs3i1atX6OjoMGbMGCpUqEB4eDitWrXi7du39O3bl9mzZyt13vz8/Dhz5gwODg74+vry7t07WrZsqWxPfn/fjoSEBIYNG8bt27fZvn07YWFheHp6Ymtry5w5c4iMjGTSpEn0798fTU1NUlNTCQ4Oxt3dncuXL6NSqViyZIlS0+NHFRAQgL29PR8/fiQkJAQrKytMTU0JCgoiPj4ea2trBg4cyPXr12nXrh0eHh506NDhs+3IuPD75OnpyZo1axg8ePBnxWpfvHhBx44dqVGjBu3bt2fr1q2UL1+eWbNmUaBAgWz+5iK7ZD4XvH79mmbNmhEREcGYMWOYM2eOstzp06cZN24c06dPx8bGhvv37zN48GASExOxtLQkIiKC0NBQli9f/sVzzrdEUq7Efyxz3qG6LsnVq1dRqVTcvn0bfX19nj9/TteuXdmwYQP9+vWjYcOGWdY9deoUxYoVo169euTOnVsZ8Kqn0cpF+8f2pRanAQEBXLlyhatXr3Ly5EnlN2hjY8OtW7dYuHAhjRo1UpY/fPgwFy5coHr16lSqVEkJFqqfjspNVc6T+bir86HPnz/PoUOHKFSoEA4ODkrKVNu2bXn79i1btmyhTJkyyjYOHDjAkydPqFu3Ls2aNaNZs2aAHHfx5z5Nf4qOjiZfvnyULVuW1atXU7t2bSUoWKxYMXr06MGePXvo2bOnEsx59eoV69evJ1euXERFRVGtWjVl+5+mJYucJfMNgkqlYvz48ejr62NsbMzZs2cxNTUld+7cHD58mDNnzjBo0CAmTZqkHPvr16/z7NkzBgwYQIsWLWjZsqVSfPPTB2A/mlKlSmFlZcW6deuYNm0a9vb2AMTExODh4cH06dN5+vQp3bp1o1evXty7d++LN1cyLvw+tW/fniNHjuDl5UXz5s0pXLiwcj62sLBg7ty5bNy4kSVLltCsWTNcXFyy+yuLbKI+T6vPBSEhIaSkpNC1a1cuXrzIq1evgD9qLrZp04aaNWuyd+9eatSowc8//8zRo0c5ceIET58+pVatWkyYMCE7d+kfIyML8R9TD0pmzJjB0KFDCQ4Oxt/fn9q1a6Ovr4+joyPNmzenVq1a7N27V6mfc/v2bQ4ePIitrS2DBw+mTZs2n6VWZZ5GK3486imQ6t/YsmXLlDaw6laV8fHxmJqaKus0aNCAVq1aMXToUObMmaOk8y1YsICWLVtmqUz/aU0MkTOkpqYCGcddpVIxf/58Dh8+jKamJu3bt6devXpERUVhaGgIgJ6eHq1atcLc3JxBgwaxadMmzp49S/fu3dm0aROtW7fO0hlPjrv4GpVKleWJcHh4OF27duXAgQNARsC4Xr16xMXF8ebNG2W96dOnU7x4ccaMGYOtrS2zZs2iYcOGvHr1ivHjx3/WmVFuRnOmT9OfUlNT0dDQwMDAgLVr1xIdHY2pqSkqlYpKlSrRuXNnzM3NGTt2rHKMAwIC2LBhA69evSIpKYk2bdoowZy0tDQ0NDR+2GCOmrr71P3795XzvYGBASNHjsTd3R1vb29WrVrFihUrmDFjRjZ/W/Fv0tHRYdSoUXz48IGdO3cCGQ9eXr9+zZQpU9i2bRtTp07lwoULEsz5wanP0x4eHlStWhV3d3d0dXVxdnZm1KhRnDhxguvXr6OtrU1iYiKQMcs2ODiYU6dOER0dTeHChbG1tWXBggXfTTAHJOVK/D/cuXOH6OhoXFxcmDZtGo0bN6Zv375ERUUREhJC/vz5laAOZOTAFi5cmAcPHvDrr78CGcEgdT60EJ/y8PAgKioKLy8vAgMD8fX1xdDQkLt37zJw4ECsra1ZvHixMuMrOTkZJycnHjx4QGJiIqampixevBgTE5Ps3hXxH9ixYwdRUVFs3LiRfPnyceXKFQD279+Ps7MzI0eOZOjQocryoaGhTJ48mbdv35KQkEDFihVxcXFRAj9C/F1Pnz5lwYIF1KxZkzlz5mBlZcX06dOpWLEifn5+NGvWDHd3d3r06KEEf8LCwjhz5gz37t3j3bt3dO3alc6dOwNf7qAhco7MRXUBAgMDGTBgAIsWLaJevXrExMTQvHlzKlWqxPr169HR0UFDQ4PAwEBatGhB6dKlqVmzJnp6emzZsoX69euzYsUKChcunM17lnN9mlqTeVaUuhulmqQm/lhUKhXTpk3j4cOHODo6EhAQwKxZs9DU1GT16tXK/YT4sX38+BF7e3v8/f0ZP348NWvWpFSpUuTLl4+QkBCmTp1KREQE586dy7Le9OnTOXjwIHv37qVq1arZ8+X/xySgI/7UpxfVFy9eULNmTYoVK8aUKVPo378/ABcvXqRLly6MGTMGR0dHZZ3Q0FDWrl1Ls2bNaNWqVZaLtrQKFp/68OEDffv2JSQkBDs7O65evaq0PV2+fDnx8fFs2bKFJUuWcOHCBSwsLEhOTs7SAvj9+/dKbrX8xr4NISEh9OzZU5k6e+bMGfz8/HBycmLMmDGEh4ezfPlybt26xaFDhzA2NiYlJQUdHR1UKhVpaWlKQTuQWgviP3Px4kVsbW3p1KkT9evX5/z58+zdu5e5c+cyaNAg9PX1GTx4MI8ePWL37t1/+TBCfn/fDn9/f9zd3WnYsCGjRo1i+PDhODg4kD9/fnbv3s3YsWM5c+YMVatWVcZD/v7+HD16lMDAQKKiohg0aBBt27YFJJD3Z1JSUrC3tyc6OpqVK1dStGjRz/6+5N/OjyssLAxbW1t8fHzQ1dVl+vTpn3WNEz+OT+spAvj6+jJp0iSWLVuW5ZysdvbsWYYNG8bMmTOxtbXl+fPnSkHk06dPf/N1cv6MhL/FF6mnxGpqahIdHc2lS5dISkrCwsKCCRMmEB4eTokSJZTlmzZtSp06dbh9+zZnz54lMjISX19fRo4cyd27dylevDiAEsxRtwqWgc+PK3NXEDUfHx/evHnD3r17GTNmDFu2bGHu3Lls3bqV+/fvkydPHlq3bs3PP//MrFmzAJRgjrpOQYECBZQ0CvmN5TyZO1ionTlzBm1tbY4fP860adPYuXMnNjY2rFq1iqioKIoVK0br1q3JlSsXbm5uAGhr/1ECTktLCxMTkyzHXYhPfXrOUf/Z29sbCwsLXFxc+OWXX3B3d6dXr17s3r0bf39/AJYvX05wcDAHDx5U2lB/bfvy+/s27N+/H2tra/LmzUtCQgINGzZky5Yt3Lp1C5VKRe/evalatSoLFy5UOvAAVKlShZkzZ7Ju3ToOHDigBHPU6VXiy3R0dBg8eDDBwcHcuXMH+LyukPzb+XGZmprSpUsXxo4dS0BAgARzflDq0guZ6ymqPXnyhKdPnxIfH4+npyeurq4MGzaMKVOmcP/+fVq2bEnfvn1xcHCgX79+1KpVC19fX3R1db/rYA7IDB3xFwIDA3Fzc+PgwYMcOXKEypUrExkZSd26denfvz+Ojo7KsqGhoUycOJHr169jaWnJo0ePaN++PcuXLyd37tzZuBciJ/mzJ3AeHh7MmjWLoKAg5bXIyEj69++PtrY2R48eJS0tDS8vL4YMGcLevXuVWgUiZ/uz4+7o6Mi5c+e4evWq8trdu3cZPnw4derUwc3NjdjYWNzc3NiwYQOHDx+mcuXK/9ZXF9+4TwN9Hz9+zJKW16NHD/Lnz8+GDRuUGX/v3r2jevXq9OnTh4kTJ2JsbIyzszPLli3jzp07SoFkkfN9+hRX/efhw4eTlJSktD8GsLa2RkNDg82bN1O0aFG8vb3p2LEjW7ZsoX379sDns3BkVsnfp1KpCAoKkpR78UUyw+3Hk3mWfebj7+XlxalTpyhatChNmzZVugV27tyZR48eYWxsTJUqVUhOTubVq1fkzZuXrVu3kjt3bjZv3kxwcDA2NjaULVs22/bt3yRdrsQXXbhwgREjRlC5cmUSEhL4+PEjBw8epFSpUpiYmDB+/HiWLFlCv379sLCwID09neLFi7N582aCgoKIiIigdOnSSkFaGfAINfXvYM+ePdy6dYtChQrRvXt3ypQpg6GhIcWKFePSpUvKydvExIS2bdsye/ZsTp8+TZs2bahduzaLFy/O0kVG5Gzq4759+3YCAgIoUqQIffv2RV9fn1y5cpE/f36ePXvGTz/9BGQ8Ba9Rowa7d+9m+PDhWFpa0qxZMwwMDLIUuhbir2hoaKClpUVISAiOjo5ERUVhYWFB8+bNsba2pkGDBqxcuRLImPGXkpJCwYIFadmyJSdOnKBBgwa0b9+emTNnUqNGDQnmfCM+DeQlJCSgp6enBHdu3bpF7969AZQUzqVLl9KwYUNOnTpF3759qVu3LlZWVkycOJFmzZqhr68vs0r+CxoaGkowR27exafk9/BjSE9PJzU1lV69etG+fXsGDBigzKgPDQ1l3Lhx+Pn50bNnT7y9vbl69SphYWH06dOHjRs38u7dO0qUKEF8fDwmJibMnj2b+/fvK3XR7OzssnsX/3WSciU+ExcXx7x58+jQoQO7d+9m0aJFTJw4kQ0bNijTz0eMGEGxYsVwcXHJUljQwMAAS0tLWrRoQalSpUhPT5cUiB/Ql9Kp1F6/fk2nTp1wdHTEyMiIU6dOMWXKFHbv3k2DBg3Inz8/J06cICUlRVnn48ePaGpqMnXqVABKlCjB0KFDlTQbkfMFBATQokULFi9eTExMDKtWrWLEiBHcvn2bdu3aER4ezsWLF5XltbS0lGOr7npSt25dRo8eTd68ebNjF0QO9mfnHIBTp07RpEkTtLS06NChAxoaGgwYMICHDx9ibW2NgYEBc+bMATJSQ+Lj4/nw4QPx8fGcPn2at2/fAhkzOMS3QR3Ie/78OYMHD2bkyJEsW7YMPz8/AOrUqcPJkyeBjGOenp6OpaUl1atXZ8eOHbx48QIAFxcX3Nzc0NfXz65d+S7JzbsQPxb1dVpTUxNdXV2MjY1ZvXo1wcHByjK7du2iQIEC3L59m/nz57N27Vri4uJwcXEhMTERExMTypcvT+7cuTExMeHZs2f4+PhQtWrVH/ocLQGdH5i6Ts6n7t27x4sXL+jTpw9aWlpYWloyc+ZMSpcuzZo1a3j79i1aWlo4OTmxd+9ezp8//9XPkFbBP5bMJ+u4uLgsJ2m1M2fOkJqayu3bt5k9ezZbtmzh8ePHbN68GWNjY6ytrblx4wazZs0iNDSUu3fv8uDBAzZs2EB8fDz79+8H/uhSIoPCnCU2NpZ379599vq+ffswNjbG398fFxcXtm7dytmzZ9myZQtVqlShQYMG7Nu3j3Xr1hEdHc21a9eIiYlhwYIFBAcHc+PGDeCP4y4EfN52/ObNmzx79oyPHz8q76elpXH48GGGDx/Oxo0bsbW1pUaNGqSkpHD27FnMzMxwcHDA1dUVZ2dnLl26xOrVqylVqhSzZ8/G09Pzq3VzRPb6q0Dezp07adasGTo6OpQvX5779+8zcOBA4uLi6NSpE9HR0Ur3TU1NTV69egWAn58fR44cAaBw4cKS2iuEEP9P6jGb+jq9ZMkSnJycWL16NREREezZs4f4+HgAWrVqxbBhw8ifPz/r1q2jRYsWGBgYkJycrDx0iYqKwsnJiaFDh9K0aVNKlCiBg4NDtuxbTiF32j8wdVHRS5cu4ePjw4cPHwAoXrw48fHxyj/AhIQEIKPOxZkzZ7h8+TKpqam0adOGRo0acf/+/ezZAZHjqE/W8+fPp2nTpvTq1YuBAwdy9+5dAJKSkvDx8cHa2pp8+fKxYMECmjdvTpUqVXB1dQVgwIAB2Nvbs3PnTrp06UKrVq0oW7YsderUIX/+/ISGhgIZT/ckmJOzzJkzh9atW9O9e3ccHR2VWkhRUVF4e3szYsQItLS0mD17Nt27d6dNmzZMnDgRgGnTptG0aVMcHR2xsrKiQ4cO1K9fn1q1apGQkKCcn+S4i8w0NDTQ1NTk+vXrNG7cmKFDh9K1a1e6du1KVFSUMkvD39+fOnXq8PjxYxo1asS8efNYuXIlY8eORU9PT6kJd/HiRYYNG8aePXvo0aMHzZs3Jy4ujmfPnmX3ropMPm07fvfuXV6/fk1iYqKyTFxcHF5eXsyfPx93d3ccHBz4+eefCQoK4sSJE9SpU4e2bdsyc+ZMdu7cib+/P+vXr6dNmzZMmzZNCfQIIYT4/0lPT1fGbMePH6dChQrs2LGDhg0boqury7Rp03B3d+f3338HoFq1atSoUYOlS5fi4eHBsmXLOHbsGNbW1uzYsYOAgACMjIwwMzNDT0+PU6dO4e7ujp6eXnbuZraTosjfuT+bwXDlyhXGjh1L7ty5iY2NpUyZMowZM4amTZvStWtX8uTJw44dO5TlL126ROfOnWncuDFubm6YmZmRlJRErly5/q3dETnciRMnGD16NEWLFsXBwYGgoCB27tyJsbExx44dAzJSFnLnzk1oaCja2trMnj1bSWMIDAwkT548FCpUiMDAQF6/fk3hwoUxNzfn+fPndO3aFTc3N6W+jsgZDhw4wIQJE/jpp58YOXIkN2/e5MiRI1hbW7N8+XIAfv75Z+rXr8+tW7fImzcvTk5ONGvWDIDg4GBMTEzQ09PD39+f8PBwKlasSMmSJbly5QojRoxg//79VKhQITt3U+RAcXFxDBkyhIsXLzJixAhsbGzw8fFh4sSJ9O/fn3nz5hEWFsbYsWOJiIggKCgIW1tbxo4dS8GCBUlKSuLixYu0adMGyJi5GhQUpNTJWblyJUeOHOHo0aM/9HTunCTzuObChQvMmjWLhIQEVCoVVapUUYocv3nzhk6dOrFr1y4iIyMZN24cCQkJTJkyhV69egEZD6xmzJjB5cuXef/+PSYmJmzZsoWwsDAGDRrEmTNnqFixYrbtqxBCfOuCgoIYNmwYjx49YtKkSYwZMybL+1WrVqV27dq4uLhgaGhIREQEbdu2Zdy4cfTv3x+A4cOHs3fvXqpXr865c+c+K3b/o5O/ie+Uuu2bhoaG8v/wx/TksLAwnJ2d6dKlC9euXePUqVMYGxvTr18/kpOT6d69O76+vuzatUtZ98WLF4wZM4Zr164p6Q/qWT5/Ne1ZfP+8vb0ZN24clpaWXL16lY4dOzJ69GiqVKnC48ePs9RfunjxIp07d+b69etKMCcgIICtW7fy5MkTAMzNzfn555/R0tLi6NGj9O7dmypVqlCpUqVs20fxOS8vL+zs7OjQoQPnzp2ja9euLF68mOLFi+Pr60tERAQAtra27Nu3j9GjR3P58mUlmOPn58fmzZsJCQkBMoohN2nSBF1dXQ4fPsyoUaNo0aIFJUuWzLZ9FDmXt7c3p06dws3NjdmzZ1OqVCk6duyIubk5p06dQqVSYWpqSunSpYmMjGTFihXMnTuXAgUKKOtv3bqVwMBAIOOapqenx6VLlxg2bBirVq2iZ8+e6OvrS6pfDqGhocGHDx/o2rUr/fv3p3379mzbto3evXvj5eWlPIgKDQ1FR0eH4cOH0717d9q2bcuFCxfo1asXcXFxXL58GT09PZYvX865c+c4evQoN2/exNLSkrNnz1KvXj0J5gghxH8hKiqK3r17ExISwuPHj7MEcxITE4mPj2f16tXs37+fGzduoFKp0NbWRkNDg8jISAAePnxISkoKK1asUILxMlM7K+ly9Z1RRyzVBUWXLl1KeHg4FhYW9O3bl/z58wNw8eJF3r17x6xZs1CpVKxdu5ZTp07RunVrVCoVrVu3JjAwkFGjRrF//35UKhV3797l4sWLBAYGcuDAAXr27KkUO5YoqahWrRodOnTgxYsX3Lt3j8qVKxMdHc3z58/R1tZWbsjr1atH5cqVuXPnDv7+/pQqVYqwsDDmzJlDTEwMffv2VbYZFRXFvHnzuH79OjY2NkyZMiW7dk98RZMmTWjSpAkaGhq8evWKokWLEhYWxtu3bzEwMMDY2BiAhg0bUrRoUR4+fMjr168xNDTkyZMnzJkzh9y5c2NgYKBsMzw8nLFjxxIQEMCIESMYPXp0du2eyIEyP5mrU6cO3bp1Y8WKFXTv3h2AQ4cO8ezZM5o1a6YM+mxtbbl06RKHDh3C0NAQMzMzTp8+zfr16+nWrRuFChVStv/q1Su2b9/Ohw8fOH36tNJ5TQaQOUNqaip79uzhwoULnD59mtq1awOQP39+1q5di5eXF/369aN69eoYGxtz79499u3bR926dZWg3NmzZzl//jwVKlTAxMQEQ0NDoqOj8fb2Zv369Vy/fh1nZ2dAujEJIcT/l5GREV27duXixYvcuXOHxo0bA7B+/XqWLVvGpEmTGDp0KI0bN2blypXUrFmTPHny0KlTJxYuXMjly5fx9vbGzs6OPn36KC3O5ZyclaRcfac2btzI3LlzsbS0pHDhwly6dImaNWty4MABAH799VcePnxIhQoVWLJkCSVKlMDR0ZGGDRsCf7QZP3DgAI8ePeL9+/dMnjwZU1NT2rVrR5kyZXB1dZWBzg8scyt69Q3W1atXWbx4MZaWlhQvXpwlS5YAUL16daytrWnZsiUWFhY8e/aMwYMHExoaqhSqbN26NStXrvysg9G9e/ewsLCQdIcc4kvHfffu3WzYsAEbGxuioqJYunQpycnJdO3alTZt2tC2bVsl13n8+PFoampSpkwZbt++Tbdu3Vi6dOlnqZvXrl2jZs2aktIpsvjSNcfPzw9ra2uGDRuGj48PDx48UNLz6tWrR+/evSlTpgxXrlxh9erV+Pn5UbBgQRITE3F2dqZt27ZZtp2SkkJUVBQmJib/+v6Jr8tcdP/JkydMmDABQ0NDZSbxxo0bcXBwYMyYMTg5OQFw+fJl+vbty8CBA+nUqROFChVi9+7dbN++HTs7O+zt7dHR0QEyUoY3bdqEtrY2S5cuxczMLHt2VAghviNRUVEMHjyYEiVK0LlzZ2bMmEFCQgITJkzgl19+QVdXl8DAQKpVq8bSpUsZPHgwCQkJnDx5kvv372NlZUWdOnWyezdyNAnofGdiYmKYOHEi+/fv5+DBgzRv3pz4+Hg8PDyYNm0aR48epWHDhnh4eDBhwgSKFCmCg4MDNjY2SnrWvn370NDQUKa1ZbZjxw5WrFjBggULlJoD4sei7iqjvql/9+4dBQsWVN6fP38+27ZtAzIG2KVLl+bDhw9Mnz6dV69eMXnyZHr16kVCQgL+/v6EhYVhaWlJ+fLlgawBA5FzfFqENDo6mnz58invDxw4kPPnz1OgQAHc3NwoWLAgERERjBs3juLFizNz5kzq169PaGgoDx48ICwsjMaNGyuzH9THXYLE4ktSU1OVFF+VSsXs2bP56aef6N+/P0lJSaxatYoFCxYwcOBAZs6cSYECBfD19WXNmjX4+vpiZ2fHiBEjSE1N5f3794SGhlK9enVl+5KPn3M9efIET09PJk2ahLa2Ni9evMDCwoKDBw8ybtw4pk6dypEjR3j69Cnm5uYUKlSI1q1b06lTJ4yNjfHw8GDr1q28efMGfX190tPTWbp0KU2bNgX+COTFxsYSHR1NsWLFsneHhRDiO+Pp6YmTkxOhoaFMnz4dW1tbJWskOTkZXV1dHBwcOHz4MIcOHcLS0jKbv/G3RVKuvjPp6ekULVoUY2Nj6tatC0CePHlITU1FR0dHqWfRv39/Vq1ahaWlJdbW1soN1JUrV9i3bx9dunRRbrAiIiI4ffo027dv5/nz5zg7O0sw5wem7hoTGBjI9OnTeffuHaamplhZWfHLL7/Qq1cvfH190dPTo0GDBmhra1OiRAl27dqFh4cHTk5OrFq1ipMnTyq/Ufjj6asEc3ImdXepx48f4+zsTGJiIj/99BNWVlY0adIEOzs7njx5grW1NY0aNQKgYsWKHD58mPXr19OnTx8aNmzIjh07KF68uLLdT4+7BHPEl6iDORs2bCA1NZUTJ06QlpZG7969yZUrF927d2fPnj3kzp1bCTBXr16dzZs3s3z5chYuXMi5c+fYsGEDhQoVUlKs1IEiCebkXOHh4SxevBgLCwsOHTrEb7/9xs2bN2nYsCEdO3Zk5syZjB07ll27dqGnp8fp06fZvHkzv/76K3PnzqV///507NiR169f8+7dO+rXrw98HqQ2MDDIkvophBDin9G+fXsOHz5MiRIlGDRoEEZGRsr1V1dXl+TkZBYvXsz+/fuJiIjA0tJSHvD9B2QE850xNDSkW7duFC9enFmzZgEwb9485syZA0DRokWJiYkBMloM//7771hbWzN37lxsbW3p06cPVatWpV+/fsoNVpEiRShSpAg9evTg+fPn9OvXL1v2TeQc586do02bNhgZGTFs2DAqVarE8OHDOXHiBBYWFrRt25bw8HA8PDyAjJv2fPnyMWrUKFxdXbG1tcXQ0FC5mVcPquWmKmfbu3cvrVu3xtjYmDZt2pCQkECfPn0ICgqiQYMGNGrUiBs3bnD+/Hkg47iWKlWKRYsWMX36dFq0aAH8UbRdjrv4uyIiImjcuDEbN24kLS2N4sWLExQUxOLFiwEoUaIE48aNY/369Tx9+hSAlJQUACZMmMCxY8dwdnZWiiGrqQNFImdRXxvS09Np1qwZZmZmjBgxgqSkJHx9fbGwsKBw4cJ0796dokWLYmpqSsGCBcmTJw9dunRh//79VK5cmd69e+Pg4ICRkRHlypVTgjmpqalKy3shhBD/Wzo6OowePZqkpCQ2bdoEZFx/VSoVy5cvp0SJEvj4+PD48WNlrCjBnL9PUq6+cZmnie/cuZP9+/ezaNEibt68yYwZM9DS0qJcuXL06tWLmJgYbt68SUREBOvWraNcuXIEBgayceNG4uPjiY+Px8HBQWnXqi4eqKGhIVHSH9SnaQjq38HEiRPR19dn7ty5ABw+fJiBAwcyefJkpk+fzvv375k6dSofPnxg2bJlmJmZkZKSotQqEDnbl9JPkpOTGTRokDIbBzKK2k2dOpUlS5ZgZ2dHQEAAQ4cOpWrVqsyYMQMjIyM57uI/9qXf36FDh1iyZAl79uzB3NycqKgo1q5dy8qVK7lz5w5mZma8f/8eGxsb9PX12bdv3xevW5JalbNlrpMDGWnkb968wcbGht9//x1XV1eljS1kpH4uW7aM3bt34+vri76+PklJSeTKlYvk5GQuXbqEhYUFpUuXzpb9EUIIkUGlUjFt2jQePXrE8uXLCQsLY9SoUahUKpYtWybZH/8FCeh8B168eIGWlhYjR47EysqKUaNGERgYyLx587h16xYPHjxQln379i3jx48nICCAatWqsXDhQgwMDLIMctPS0tDU1JQAzg/s0zo5n2rYsCHTpk3jp59+YuDAgcTGxjJ58mRsbGyUZY4ePcqSJUto2LAhCxcu/OJnyG8sZ/mz456UlES9evXYtm0bCQkJjBw5kvT0dKZNm6Z0FwJwc3Njx44djBw5MsuNV+bPkOMuvuTP6metXLmSjRs38vDhQ+W18PBwevTogYWFBR4eHqhUKi5dukSXLl2U2WTi2/Tw4UMWLlyImZkZU6dOJV++fMyaNQtPT08OHDig1FwD8Pf3Z8SIETRo0AAXF5cv/o7kvCOEENkvNDSUwYMH4+/vD8DUqVMZN25c9n6p74A8pvrGqGfNqL19+5ZWrVrRsmVLatasyejRo9HQ0KBUqVJ0796duLg49u3bB2Q8YTc2NmbDhg2MHj2aM2fOKINjdTBHfTMnA58fm7pOTkREBJMnT8bZ2Zm9e/cSFRVFeno6P/30E1OnTqVFixZYWVlx6dIlbGxsSExM5OjRowBYW1vTpk0bWrVq9dXPEDmL+rgHBQUxbdo01q5dy8WLF4GMc02RIkUYNmwYPXr0oHv37ly4cIHu3bsTGxvLmTNngIziyFWqVKFixYpf/QwhMlOn4Klvwjdv3sykSZPYsmWLsoyRkREFChTg9u3bymvFihXD2tqao0ePcvPmTTQ0NKhRowarVq1SWlmLb0taWhpz5syhVatWGBkZ0bRpU96/fw/A3LlziY2NZfv27cTHxyvrlCtXjgEDBrBp0yaePHnyxaCgnHeEECL7FS9enM6dOzNixAgCAwMlmPMPkYDON0I94P10UGJoaMjs2bN5//69kiqlnrJct25dunTpwvz58wHQ1dUlNTUVPT09evbsycOHDz9rAydT0X8cnwYHM9c1AfDw8KBmzZqEhITw7t07XF1dmTp1KklJSdSsWRMNDQ3mzp3L7NmzMTQ0BMDHx4d169bx5MkTtLW1mTlzJs2bN/93d0z8RzLXMQJwdXWlXr16BAQEcPXqVcaPH8/SpUsxNTXFwsKC6OhoNm7cyJQpU5QCopcuXWL79u2Eh4eTN29eNmzYQM2aNbNtn0TOdu3aNX799VeSkpKAPwI50dHRDBs2jJUrVxIZGcnEiRMZM2YMqamp1KhRA319fY4dO5ZlW9HR0QBMnjwZgLx582JjY4ORkdFn5ziRs6jPPZndv3+f06dP4+npyerVq2ndujXm5uZAxvjH0dGRbdu24efnB2Rct6Kjo+nZsyfOzs6YmZnJcRdCiBxs+PDhODo6kjt37uz+Kt8NuXv/BmROgbhy5QoeHh74+fmhUqnQ0dHBysqK6tWrc/z48SzrFShQgF69eqGjo8OMGTOArAEbbW1t5SZe/DjUaTWfBgczP9WMiYlh9+7dLFq0iD179rBixQoaNGjA3r17uXTpEu3ataN06dL8+uuveHl54evry9KlSxk8eDDVqlXL0sVIBtc5m/qcoKGhQWBgIIcOHWLTpk3s2bOHXbt2UaZMGdavX8/Dhw8ZOHAguXPnZteuXVy+fJlnz54xf/58Jk2aRJUqVTA2Nla2+6WbNSEAjhw5QlpaGrly5VLOD8OGDWPOnDno6+tz+fJltm3bhqenJ/v27WP//v38/PPPNG/enN9++4158+YRHh7OtWvXCA4OZvPmzQQHB3Pu3Dkga/03kfOoVColtRsyChSrBQcHExMTg6GhIYGBgUqXvDVr1pCWloatrS2lS5dm1qxZTJ8+ndKlS7NkyRKMjIwYOXIkenp6ctyFECIHk3P0P0/aO3wDNDU1CQwMZPTo0Tx//hwTExOioqJo06YNLi4uFClShAkTJtC3b1+uX79O/fr1lRzySpUq0aFDB86fP68UCsxMWkT/WNS/Cw0NDW7dusWvv/7K2LFjKVeuHP7+/kyaNIkZM2aQJ08e0tLS6NmzJ76+vkyZMoXg4GBWrlxJy5Yt0dbWZs6cOaxbt45Zs2aRN29e0tPTcXNz+yzFSk7cOculS5e4cOECY8eOJX/+/Fy/fp05c+awZcsWbt26RaFChWjbti2XL19mzpw5vH79GmdnZypWrIiGhgZz5sxhw4YN2NvbkydPHrS1tdmwYYPSqlxNZvsJ+KN2SeYW0erOVADx8fHo6+tjbm7OkiVL6NatG/nz5wegadOmtG3blvXr19OoUSOGDx+OiYkJ06dP58iRIwQEBDBlyhSqVq2KkZERgYGBgJxzcjp1amdAQAAuLi7kzp0bS0tLunTpQvny5alQoQKtW7fGxMREad7w/v17Hjx4wLp163B3d2fHjh34+/uzaNEievfurWxbauUIIYT40UhR5Bzo0wFJcHAws2fPRldXV3kSderUKXr37s2+ffto1aoV8fHxDBs2jMDAQK5cuZJlex8+fFAGyOLHlLno9cePHxkxYgQnT55k6tSp2NnZ8fHjR1auXElaWhrLly/nxo0b9OvXj9atW3PmzBn69OnD5MmTMTY2JikpiZcvX1KhQgUgYzZPSEiIUjMl842byDkiIyMZMWIE586dY9GiRXTv3p2PHz/i6OhIwYIFWblyJR4eHjg7O9OsWTNOnjzJwIEDmTBhAkZGRsTHx/P+/XuKFy9OQkICUVFRvH79mqpVqwJy3MWf+7S7VGBgIEOHDmXo0KFKUe0aNWooM8KMjIwAePXqFfXq1WP06NGMGDGCPHny8OLFC968eYOZmRmmpqbcvXuXAQMGsG3bNqpXr54duyf+wqeFirdu3crMmTOxtramUKFCPHjwAA0NDfbv309iYiInT56kUqVKaGtrU65cOZYvX86WLVu4efMm+vr6n3XP+7OC2kIIIcT3TEbeOUhaWtoXny7lypWLunXr4urqipGRERs3bmT8+PHo6+vj6OhIVFQUefLkYeLEiQQEBODu7g78kfKgDuZkntYsfgzq1AP1jdTy5cupUKECsbGxPHv2jClTpjB69GiqV69OZGQkixcvRldXlyZNmlCxYkWuXr3KxYsXWbx4sZJOc/DgQU6ePKnUrsibN68SzElLS0NDQ0Nu6nOYxYsXU7FiRbS1tXn+/DkDBw6kT58+NG/eHENDQ1asWAGg/NnPz4979+4xd+5cjIyMSE5OZsuWLVy6dInk5GT09PQoWrSoEsyR4y6+JjY2FltbW+bNmwfArVu3OHDgAObm5kox7RcvXgAZRW9/++037ty5A2Scv4oWLcrw4cNxd3dXXrewsKBSpUqoVCr27duHra0tDRo0wMLCQlI8cyCVSqUEWxISEkhISODAgQOsWLGCTZs2sWDBAipXrszly5fx8vIiX7589OzZE0tLS8qVK0dKSgo+Pj707NkTfX19ACWY82lBbSGEEOJHI6PvHEI94NHQ0ODu3bt4eXnx8uVLUlJSKFy4ML169SI9PZ2BAweyefNmHB0duXDhAgEBAezatQuASpUq8csvv3DhwgXg85QHbW3JsPvRqIODhw4doly5cmzevJkCBQpgbm6OsbExKSkpDB8+nEKFCpE3b15lsKxSqbCxseHNmzc8ePCAgIAAYmJiWLt2LUuXLiV37tzkyZPns8+TQXXOsmvXLkqVKsXmzZspUqQIDRo0oGDBgqSkpNCzZ0/S09OxsLBQfid58+alXbt2BAcH8+rVK968eUN8fDyrV69m27ZtaGtrZ3kqribHXXyNlpYW1atX59dff6V79+60adOGd+/eAeDk5MTVq1e5du0aqamptGvXjjp16rBixQpev36t/C6nTp1KkSJF0NXVVbYbGRnJjBkzmDdvHnZ2dri7u2NoaCjpNjlI5mYOt2/fVmb+vXz5kri4OFq1asXNmzdp1KgRR44cYe3atfzyyy9AxkxSLy8vVqxYQfXq1Xn16hU9e/b87DPk3COEEOJHJylXOcjbt2+xt7fHz8+PokWLkpycTIMGDVi6dCkAv/32G87OzixZsoQ6derw4sULWrRogZ6eHkeOHOGnn34iPj7+izfa4sfl5ubG7NmzWbp0KQMHDuTQoUNMmDCBgwcPUrt2baKjo3F2dubIkSP4+fllqTo/depUTp06haamJrlz5+bDhw+4uLjQvn37bNwj8XdMnz6ddevWsXbtWjp16sTy5cs5fvw427dvp0yZMgQEBDBp0iQiIyO5fPmysl5UVBQjRozA19eXIkWKEB8fT0JCAq6urtKxTPwtn6a/LFu2DGdnZ4oXL463t7cSOAbo378/UVFRzJ07l6pVq/L06VMaNGjAsmXL6NOnj/Ig4kuzV/38/LC0tPxikFHkDG/fviUyMpKVK1dSsGBB5syZw40bNxg5ciTly5fn1q1bDB48mLFjx2JkZERiYiJPnjyhQoUKuLi4cOfOHbp06UL//v2ze1eEEEKIHEkCOjnI7NmzefLkCStXrqRo0aJcvHiRLl26sHXrVjp37sz8+fPZvXs3Dx48ADICPMePH+fy5cvMnTs3y0225JML9W8gJSWFxMRE8ubNC0BQUBBTpkzh/fv3nDlzBoCnT5/Stm1b7OzsmDJlCqmpqWhra6NSqXjx4gUvX74kMTGRjh07Ktv/tCaGyFnCwsLInz+/EuC9du0a8+fPx8LCAjc3NwBOnDjB8OHDWbp0Kb/88oty3JOSkvDz8yMgIABdXV26du2qbFeKjoqv+bSO0sOHDzExMeHevXtcuXKFrVu3cujQIWrWrEliYiK5c+fm6dOndOnSBVtbW+zs7DA0NGTo0KGcOXOGGzduULRoUWX7cl3L2b50TejTpw8nT56kZcuWbN26FQMDAwBatGhBSEgInp6eWFpaKsvv37+fBw8eMH36dBISEpRaSiDHXwghhPgSuRv7l6Wnp38xx//169ds376dmTNnUrRoUTw8PBgzZgxVq1bF3NwcgPbt2xMWFsbAgQMZP348I0aMoGHDhty8efOzGRMy6PlxqWsxqX8DOjo65M2bV5n+XrJkSQYOHMjz58+VdL2SJUsyduxYJdVBW1tbaW1epkwZWrdurQRz1LWYJJiTs6iPr5qpqanSrQygTp06WFlZ4e3tzcWLFwGoWbMm3bt3Z/78+UBGWmZqaiq5cuWiTp069OrVSwnmqI+7BHPE16jrKD18+JC2bdsyaNAg7ty5Q/PmzRk9ejSNGjXCwcEBgNy5c5OamkrZsmXp1q0bx44dw8fHB4A1a9awbdu2LMEckOtaTpWenv7VAL+joyNGRkbo6emhp6envD5u3DjevXvH9evXefToEZGRkbi4uDBv3jwKFy6MlpaWEsxR1wOU4y+EEEJ8Tu7I/kXqJ5caGhoEBwcTFRWV5b2aNWty48YNWrduzZIlS5g4cSLnzp2jatWqJCQkUKVKFdzd3dHW1ubJkyds2rSJ7t27o6Oj89VAkfhxqI+/uhbTjRs38PDwIDg4mPT0dLS0tJSb8jp16tC1a1cWLlyISqUiV65cdO/enfLlyzNu3Djg6wEbqcWUs6hUKuX4Arx48YL3798r72tpaZGeno62tjatW7embNmyrF69GoBChQrxyy+/oK2tzYwZMwA57uK/c+DAAdq3b0+lSpXYsGEDVatWRVNTE2NjYwYOHEhwcDAeHh7AH+esqVOnEhQUxG+//UZcXBw6Ojo0adIkO3dDfMWngeO0tDQ0NTXR1NTEz8+PSZMmsWrVKu7fv49KpaJcuXL07dsXb29vwsPDlfU6dOjA+PHj2bJlC7169aJdu3bs3LmTFStWYG9vn+V8Iw8PhBBCiK+TlKv/kYSEBHR0dJSZDuoBSXR0NKNHj+bSpUuUKlWKli1bMmPGDMLDw7GxseHRo0f07duXuXPnKqkSPj4+HDx4kAULFgAoU9XhjwGxPDUXasnJyYwePZqTJ0+SP39+9PX1GTJkCIMGDcryW7x16xbDhg2jc+fOODo6kpqaiqenJ05OTly5ckVa3X9jnj9/zvjx4wkODkZLS4uOHTsyYsQIChcunOW479q1i1WrVmFvb0///v2VlvXnz5/nzJkz5MqVK5v3RHwLPk1/UT9UmDRpElpaWkrtt8xiYmKYN28ex44d4+bNm+jp6bFr1y46d+7MixcvKFu2bJb6OiLnyHwOiYqK4tq1a7Rr1w6VSkVaWhrz5s1j/fr1tGrVihcvXvDx40cGDBiAg4MD0dHR1KhRg379+uHo6Kikbaanp/P69WtCQkKIi4ujWbNmwOepe0IIIYT4Orla/g9cvHiRypUrExoaCvzxdMnX15d9+/aho6PDtm3baNWqFUuXLmX//v0UK1aMtm3bUqxYMRo2bKgEc8LDw9mwYQNv377lzZs3AEowR90qWII5Qm3z5s0sXboUIyMjfH198fT0pFGjRqxevZqnT5+iqalJSkoKkNEVTd01LTAwEG1tbTp27MiDBw8kmJPDqWdaqR07dowuXbpQunRptm/fzvz58zl+/DgbNmwgNjYWTU1NZZ1mzZpRv359tmzZQlRUFIaGhowaNYpLly5JMEf8LZmDOW/fvgUyrnNaWlrcvHmT6Ohojh49ysKFC5k8eTJNmjRhzZo1aGlpYW9vj76+PlZWVlhYWODh4UFiYiLVqlVDX19fSa8ROYP6oZF6HOPs7EyZMmW4cOGCMgZ58uQJJ0+eZPfu3Wzfvp3r16/To0cPjh8/zsGDB8mXLx9Tp07F3d2d33//XRmzaGhoULRoUWrXrq0Ec1JTU5XUPSGEEEL8Nbli/g80bdqUbdu2KbVvIKPQX/Pmzdm+fTujRo2iSZMmTJ8+nSFDhjB37lzevXvHiBEjqFSpEtOnT6dHjx6MGzeO+vXr8/btWxwdHSlUqFCWz5F88h/Xl1LsgoOD+e2331izZg2GhoYULFiQ0qVL069fP0qUKMG8efMAlI4wefLkoVWrVhQvXpyTJ08CKDf0nwYMRM6gTndQpyOcO3eODx8+oKGhwdChQ3F1daVy5cokJiby4sULTp06xenTp7OsU7RoUZo1a0ZCQoLS3apgwYKAHHfx92hpaREYGEiPHj3o1q0bNjY27NmzB4CFCxfy8uVLRo4cSXBwMNra2lSuXJmdO3dy4MABzM3NOXjwID169GDNmjWcPXs2y7VNbuRzFnXw5ejRo5QrV46jR4+yd+9eli5dqoxBnj9/TmxsbJYxz4ABAyhXrhwHDx4kMTGRwYMHU7FiRWbNmpWlnfmnJLVTCCGE+M/IyOm/9OlNtfrP9evX58mTJ/j5+QHQrVs3WrRowdu3b7MUenR0dCQmJobVq1eTJ08e1qxZw9y5c/n5559JTEzE3d2dgwcPYmpqKjVyBPBHzQINDY0stVLMzMzo3bt3lgLIAJaWlnTr1o27d+8qXa3Us3TKly/P0aNHGTFiRJbPkEF1zqS+gYqNjaVly5ZMmjSJjx8/UrVqVezs7Hj+/DmtWrVi3rx5LF26FG1tbQ4fPqzUrlAHbFq1asXhw4ezdC0DOe7i77l+/TrW1tYULlyYwYMHo6enh729Pfv27aNJkybs3buXR48esXTpUhYuXMjixYtJTExUityamZkxbtw4pZj/p3VZRM6ybds2+vfvT//+/bl58yYtWrTI8n5SUhKQdTxUqlQpKlWqxJs3b0hISABg+vTpBAYGZqkfKIQQQoj/jgR0/kvqPHBA6QqkNnToUMaNG8ebN2/Q1NRkzJgxhIeH4+vrC2QMfgwMDJg5cyZbtmzB398fAwMDunfvzuzZs3F3d8fKygr4I71K/FhiYmKIiYnJ8pqWlhaRkZHY2NjQsWNH+vbty6ZNm4CMdJrOnTtz/PhxQkJCgIwn3k2bNqVhw4Y4OzsDf8zS0dTUVGZnSKpDzvPpjJmkpCSGDBnCpk2bqFevHhcuXMDc3BxTU1Ny587N0qVLKV26NMeOHWPQoEE0btwYb29vvLy8gD8CNrlz56ZIkSJKrQohvuTTc4L6t6KuAbds2TL69+/Phg0b6NevH66urvj7+1OwYEGlPXVsbCwuLi7o6+tTtmzZL25PZpvmbN26dUNPTw8DAwOSk5MBiI+Px9HRkTt37tC1a1fi4uLw9PTMEpzLmzcvT58+VY5vixYtuHPnjnLNEUIIIcR/TwI6/6WzZ89iZ2fH+/fv0dTUVAoEAqxbt46HDx9y9uxZUlNTady4MR06dGDhwoXExMQoAZohQ4YoN2PqwZKatOv8cV2/fp2mTZvy9OnTLK8/ePCAVq1aoampib29PQULFsTBwYGNGzeSL18+unTpQr58+Vi5cqWyjpmZGdbW1kRFReHt7f3Fz5NUh5xBfZO7detWli9frrzu6+uLhoYGMTExODk5oaenp8x4AHj58iW+vr5UrVqVYsWKkZycTGBgIFpaWly9epVXr1599llSg0t8ifo6pj4nqK9D6t/KtWvXKF26NLly5VKuWQsWLCA8PJybN28CcPr0aezt7WnatCknTpxg+fLllC9fPsvnyG8vZ8ocyEtNTcXAwICpU6eyatUqAgICWLt2LZUrV+batWsULFhQ6ZK3YsUK9u3bx5s3b4iKiuLMmTP07NlTCe5l3qYQQggh/hkyv/6/pG4hvnfvXkaMGIGGhobSJrhixYr06NGDFStWULduXUqXLo2TkxP169dn7969DBkyROn2sG/fPnLlyoWurm6W7ctN9o+rfv36bNq0iWrVqmV5/caNG+TLlw9XV1eMjIzo06cPJiYmrFmzhurVq1OzZk2srKzYt28fN2/epE6dOgC0bNmSpk2bZgkCiJxHfZN7+/ZtgoODlZTMDh06sGXLFqZMmcKtW7eUc0Vqaira2trkz58fHR0d7t27x9WrV7l58ya5c+fG3d2dypUrS6Fr8bepr2MREREsXryYPHnyULlyZVq2bEnBggWpXbs2np6epKeno6urS3JyMgYGBjRv3pxz584xdOhQ6tevz/Xr1+nUqRNdu3YFUK53IufK3M1KfW4BGDNmDFu3bqVu3bqUKVOGZcuW0aFDB2XZoUOH8ujRIxYuXIibmxvv37+ncOHCzJs377NxjKR2CiGEEP8caVv+X1KpVEyePJmnT5/i4uJCuXLllKdbmpqaxMfHU6ZMGUaNGsX48ePR09Nj/vz5rF+/nqtXr2JmZvbZ9mTAKzK3o3/69ClBQUG0aNECTU1NbG1tiYuLY9++faSkpCjpU5UqVaJnz57MmjWLe/fu4ejoSEJCAqdOncqy7cwDdpGzZO4edOLECQYNGoSmpiYLFy5kwIABQEb9o3nz5rFz504ePnxI7ty5lRuv7du3s2vXLl68eIGhoSGurq7Ur18fkOMusvqra83+/fsZO3YsDRs2xMDAgMuXL1O7dm3WrVvH06dPGT16NN26dWPy5MlARjpg586dqVevHrNnz/5se5mDAyJnCwoKYv78+RQoUABra2uaNGkCZHTw7NKlC7/++iudOnVSlleftxITEwkJCeH27dsULFiQNm3aADKuEUIIIf6XZHT/X9LQ0GDkyJGkpKSwfft2ICOQo24PnSdPHqZNm6a06wQYO3YsRkZGBAQEfHF74selnoqeORVm5syZzJs3j/v37wNQu3Zt/Pz8iIqKQkdHRylI2alTJy5evAhA5cqV+eWXX7Czs/vsM+SmPufS0tLiw4cPREREEB4eTsOGDSlfvjwmJiZAxo2Rjo4OgwYNQk9PT6mJpGZjY8OBAwfYv38/t2/fVoI5IMddZFCpVFnqvb148YLExMQstZTi4uLYuXMn48aNY9++fWzZsgU3NzfCw8NZsGABtWrVolu3bri4uODm5sb169dxd3cnKCiIxo0bf/Z5ILMycqpP05+ePXtG7969+fjxI0+fPqVnz56cPHmS1NRUmjZtSv369Vm/fj0RERHKOuogdK5cufjpp5/o06ePEsyR+n9CCCHE/5aM8P8BpUqVolWrVty+fZtLly4BGYMY9cyJ0aNHkz9/flxdXXn37h0GBgbcuXNHeeolfmyZC9Oqb3oOHTrEhQsXAJg7dy4fP37k7NmzpKSkUK9ePUxNTVm0aBHwR6vxFy9eUKlSJWVbvXv3plu3bv/27oj/gLrbmFp0dDQdOnRg3759DBkyhF27dpE3b148PT0JCQlRboxKlizJhAkT2Lx5M4GBgWhrayszA/X19alSpQogtSpEVuqba01NTXx8fGjTpg02NjZ06NCBtWvXKstFR0fz5MkTihcvrrzWtGlT+vXrx/Hjx3n27BmTJ09m/Pjx7N69m5EjR+Lh4cGqVato2rRpls+Um/mc6dNrzqVLl3j06BHBwcF06tSJvXv3cujQIZo3b866deuUBwqurq7cuHGD06dPf3Z+yXyspeC1EEII8e+QgM4/ZNCgQRgYGLBz584saRMfPnzgt99+o3z58kRFRSmDJ11dXekq9AM7ffo0u3fvVm6w1APhEydOUKlSJVasWIGPjw+xsbGUL1+eTp06cfDgQe7evUvlypXp06cPW7ZsYdGiRVy+fJmtW7fi7+9Ps2bN5AbqG3DhwgUiIyOVoK9aUlISwcHByswaXV1d+vTpw5MnTzh+/LiynIaGBl26dKFkyZJKy/kvzcCRWREiMy0tLaKiohg0aBBt2rShevXqLFu2jFKlSnHo0CFu3LgBZHQwMjAwIDU1VblO6enpUbNmTQwNDZXZpdOmTePChQvs2rULHx8fWrZsKZ3TvgGZU6DCwsJo1KgRAwcOpGPHjtjZ2VGqVCll2Tlz5vDy5UvOnj3Lx48fKVOmDEOGDMHZ2Zlnz5599TPkOiSEEEL8OySg8w8xMjKiX79+vHz5kgMHDgBw8uRJ2rZtS//+/bG3t+fw4cMYGhoq60gKxI/Ly8sLHR0dtLS0lJufkydPMmPGDIYOHcpvv/2GnZ2d0h1kypQppKSksH//fqKjo7Gzs8PR0ZEjR44wfvx4VqxYwYIFC+jcuXM27pX4K/fu3aN+/fqMHj2a8PBw3r9/T+fOndm4cSNhYWGkpaVhamqqpNEB9OzZkzJlynDp0iV8fX0B8PPzI0+ePKxYsQIHB4fs2h3xjYmNjaVcuXLcunULb29vFi5cSL169bC3t+f169cUKFAAAAsLC8zNzfHy8iI4OFhZ38DAgCdPnqCnpwdk1GXKlSsXFSpUADJmhEnntJxPQ0OD2NhYNm3axKZNm2jdujW3b9/G0dERTU1Nbt++rXTrLFu2LD169MDLyws/Pz8AFi5cSJ48ebKcp4QQQgiRPSSi8A9q3749pUqVYtu2bXTs2JF+/frRsGFDXr16paRXSQrEj009SF67di3du3cnPT1dGRT7+PhQuHBhxowZg7a2NklJSURFRfHmzRv09fWxt7fn9OnTXL58GYCRI0dy/vx5du7cyb179+jSpQuAPB3PgWJjY7G1taVZs2Y0aNAAb29vqlSpgkqlonz58uzduxdra2vGjRtHTEwMZcuWBf74vQwdOpTIyEimTp1Kt27daNasGY8fP6ZevXo0a9YsO3dN5FCZZ4CqVCpSUlIwMDCgT58+6OnpZXmg4Ovri4GBAT4+Ply9ehUAZ2dn7t27x5o1a/D19SUuLo49e/ZQq1YtfvrpJ+DzhxIyIyxnUp9HMrtw4QLr1q1j9+7dtGrVCmNjY2xsbOjSpQuPHz/mypUryrIODg6kpqayc+dOwsLC0NbWxt/fn6pVq/6LeyGEEEKIL5GAzj9IR0cHOzs7Xrx4gba2Nj4+Pri4uAB/BHJkwPvjSk9Pz1JPwNfXF2tra6XuUsGCBQkLC2P27NkMHjyYsWPHUqNGDbp06UJQUBC2traYmZmxZcsWnj9/DkDu3LkpX748kLWgssg51CmXERER+Pv74+Liosy8KliwIIsWLeLs2bM4ODiQnJxMWFgYzs7O3Lp1S/m91K1bl9mzZ1OzZk3KlStHYGCgUidHiC/R1NQkLCwMHx8fNDQ0lPS+pUuX8vr1a2XGRfv27Zk1axaWlpasXr2aXr164eXlRbly5XBycuLBgwf06NGDJk2asHPnTiZOnEiRIkWyee/E36EugK0+j3z8+FF5r127drRr1464uLgsDwGGDRtGQkICx48fV5bX09PDzs4OfX198ufPryz7pUCREEIIIf5d0rb8H6ZSqQgKCsLc3BzIGPBoamrKTfYP7NNBdVhYmJJWU6tWLVq2bImTkxMJCQls3bqVM2fO0KJFC4oUKULVqlXp378/1tbWuLi4cObMGaX4qDo9QuRsly5dwsHBgSFDhmTpOnbixAl+++03hg8fTrly5QDYuXMnrq6u5M+fn8DAQJo0aULjxo3p27cvGhoaWVqPSxto8WdevXqFvb09+fLlw9XVlbFjx2JhYcHs2bPZtGkTkydPxsDAgG7duuHg4ECxYsWIiIhg8uTJPHv2DG9vbwCioqLw8/MjJiaGDh06ZPNeiT8TGxurBIsz8/Pzw8nJidTUVCwtLenSpQt16tTh7t27zJgxgzJlyuDm5qYs7+rqyvHjx7G1taV3797/5i4IIYQQ4j8kM3T+YRoaGlmCOVpaWhLM+cFpaGigpaVFaGgo/fr1o2/fvvj4+JArVy6mTZvGmTNn+O233yhUqBBTpkzh3LlzTJ8+nUGDBlG9enUsLS0pVKgQAK1bt2bHjh0SzPmGNG7cmEaNGnHs2DElha5z584MGzYMCwsLLCwslGXVRa9Pnz7N1q1b0dLSYvHixYSHhwN/pLikp6dLMEf8qaJFi9K+fXt8fHywtLTkzZs39OjRA4AhQ4ZQpUoVqlSpwrx58yhWrBgARYoUoWLFigQHBxMUFARk1Idr2rSpEsyRtOGcaePGjbRr147Q0NAsr+/bt4+OHTtStmxZ6tevz7179/jll194/vw51atXp3Xr1jx69AgvLy9lnUGDBpGYmMiVK1eIiYnJsj2ZlSOEEELkLBLQ+R+Sdp1C7dixYzRs2JA8efIwZcoUJf2hd+/elC5dmv379ytpVCqVisDAQB49eoSdnR1PnjyhVatWWbYng+pvh4aGBiNHjiQ5OZm2bdtSo0YNTE1NuXbtGqNGjUJbWztLSqY6aFO/fn2lXbCpqWmWbUpBdfEp9UxAgJSUFFQqFc+fP+fdu3dYWFiwc+dOKlSoQGJiIgDz5s3j2rVrXLhwQTmfpKWl8eTJEzp27EjJkiW/+DkSSMyZWrRowb179zhz5oxyPklJSeHkyZN069aNxYsXM23aNI4dO0aZMmWYMmUKAF27dqVIkSJ4enoSFRUFQN68eVm1ahXLly8nb968WT5HxjVCCCFEziJ3BUL8g75UkDglJYV9+/ZhY2PDhg0bsLa2pnLlysrN1/Tp0/H39+fcuXOkpaXh7e2Nq6sr3bt35+PHjxw/fvyz4pMyqP62lCpVCisrK96/f8/06dNZs2YNZmZmyu9FfZN87969LJ3w1GRWhPgz6jbUmpqayk25hoYGEyZMwM3NDX19fdavXw9k1N1KT0+nUaNGtG7dGjc3N2JiYvDx8aF58+Y8evQIW1vbbNwb8Z9QF9YvXbo0w4cPZ/ny5crDAR0dHa5evcrPP/8MZFyLNDU1Wb58OefPn8fHx4eSJUtiZWXFkydP2LRpk7LdqlWrKr8VIYQQQuRcEtAR4h+gUqlIS0v7YnpdZGQk169fV4oXqwfI6pv5unXr0qJFCzw9PXnw4AG1atWiffv27N69m3379mFqaiozcr4DAwcOxNLSknv37pGSkgL8UcB679692NvbY21tzYABAz5bV2ZFiC9Rn0vUv6NJkybRuHFj+vXrx4YNGzAxMaFDhw5YWlpy+fJlfHx8AJTOeitXrsTHx4cmTZpgZWVF3bp1uXXrFnXq1MmeHRL/EZVKhaamJrly5eLt27fY29vz7t07Dh06xMePH0lOTqZ69epKZ0QdHR3S09OpUqUKFStW5OzZswB06NABKysrpRtnZjIbUAghhMjZ5EotxD9AXSfn3bt3LFy4kF27dnHjxg0AEhISyJMnD+np6VmK2mppaSk3VlOnTsXPz4/Tp0+joaFBixYtlLbW6lpM4ttmaGhIv379ePr0KZ6enkBGq/oWLVowYcIE6tevz5gxY6hUqZK0nhd/i/pc8vDhQ44ePcrvv/+Oo6Mjenp6uLi4cOLECXLlykWHDh3Q1tZmz549QEbXotTUVIoWLcqkSZMoVaoU/v7+LF68GJAZYd8KDQ0N0tLSmDx5MpUrV8bNzY3U1FS2b9/O77//jq6uLg0bNiQsLIxjx44BGb+Z4OBgoqOjlWLsRkZGzJkzh1q1amXn7gghhBDi/0ECOkL8TZ/eZH8602bDhg1UqVKFa9eucfDgQfr168e2bduwsLCgVKlSHDlyhODg4CzrbNy4kZcvX2JqasrevXuZMGFCluCNOlAkvg/t27endOnS7N69mz59+tC6dWuqVq1KWFgY/fr1A/5InxHiUyqVKst5SKVSsXv3bho2bMjatWtxdnamW7duLF26FCsrKyZPngxAkyZNaNiwId7e3ri7u3P8+HE6dOhAYGAg06dPx8vLi2LFipGWloZKpZIZYd+QEydOcPz4cQ4fPsz06dM5ePAguXLlws3NjZSUFDp06EDJkiWZNm0aR48e5dGjR2zcuBEDAwMqVqyYZVsSSBZCCCG+PdK2XIi/oL6JUj8Nj4qKwsjIKMtsm9DQUGxsbBg5ciTdu3cHMopNPnnyBE9PT1JSUujSpQvW1tb07NmTkiVLcvjwYdzd3XF0dKRbt27K52Xervj+3Lp1i/79+1OhQgVWrFihdMWTNuTiz3zt9+Hv78/cuXN5/vw5/v7+yut+fn506dKF4cOHM2XKFAICAtiyZQteXl6kpaVhZ2fH+PHjleVlJmDOpS54nfn4qAO/9vb2REREcOjQIeW9S5cu0blzZ7Zu3Urnzp0JCQnB0dERX19fkpOTMTQ0ZM2aNVSrVi07dkcIIYQQ/yAJ6AjxJzLf5Dx8+BBXV1fi4uIIDAykZMmSjB8/nlq1arFr1y52797N0aNH8fHxwcnJiYcPHzJz5kz69u2Lrq4ue/bsYefOnTx8+JD8+fOTlJSkPEkXPw6VSkVQUJASyElLS0NTU1Nm5YjPfCm46+rqSkpKCiYmJkq9pd27dzNy5EgOHz5Mo0aNgIw6OatWrcLV1ZWHDx9iaGhIeno6jx8/ply5chK8+UZknrH3+vVr/P39qVq1KoUKFQIy0nVv3LjBpUuXgD8Cf+3btyctLY1169Yp55rIyEjCw8OpUqXKZ9sWQgghxLdJpgEI8Se0tLSIjY1l0KBBtGjRAj09PZo1a4aVlRUvXrzA1tYWT09PChcuzPPnz3FwcKBz586UKVOG69evK91ioqKi6NWrF3v37uXQoUMsX76cBw8eKMEcmer+49DQ0MgSzNHS0pKbKqE4efIkK1euBLIWpPX29qZy5crs3buXiIgInJ2dGTt2LL///jsdO3bEysqK2bNnK8vnypWLHj16kC9fPoYNG6Zsr2LFimhpaUmh9W+E+tywcuVKKlWqxLRp02jTpg0nT54EMtLp3r17p/xZXVenQIECeHt7c+jQIaVWm4mJiRLM+VoRfyGEEEJ8W2R+vxB/4rfffsPW1paff/6Z27dvU6JECeW9/v37M2LECObOncv06dMxMzPjxIkT3Lhxg+LFiwMZT0vXrl1LiRIl6NKlC3ny5MnSglz9NFUG1j8mmSUhPnX58mUaNGjw2etbt26lTZs2uLi4APDzzz8zefJkihcvzuTJkxk0aBAjRoxg27ZtysydEiVKsHz5cvT09D7bnvz2vg03btzg4cOHSvqumZkZEyZMYN26dZiYmFCvXj3q1auHk5MTTZs2RU9Pj48fP1K4cGFat25NaGjoF1P15PgLIYQQ3weZoSPEn9DV1cXU1JTu3btTokQJpRByamoqJUuWZNiwYejq6iqpDqmpqahUKmJjY0lLS2Pr1q3s2bOHhISELwZtpGaKED+2lJQU3Nzc2L9/PwDOzs60b9+e5ORkZWZFQEAAz549Y/z48URFRTFs2DBmzpzJ4MGDlVmANWvW5JdffmHBggUkJycDGTftX2tHLXKWTwteA8TExDBlyhTmz5+PoaEhDRs2xMzMDCcnJ9LS0ti1axcGBgZMnDgRDQ0NatWqhY2NDfXr1+f9+/ds376d5cuXS/BGCCGE+I5JQEeIP9G4cWMaNWqEl5cXjx8/RlNTM0txSnXXonfv3lG/fn2qV69Oo0aN6NGjB02bNsXFxYVp06bRr18/mYUjhPhMWFgYJ06cwNPTk+joaLS0tPDx8aFz587s3bsXgHz58vH777+zfPlyatSoQWRkJMePH2fhwoUYGxsTGBiIkZERXbp0QUdHh9OnT2fzXon/RGpqKhoaGmhoaGQJ6uTNm5eJEyeiq6ubJUXO0tKS5s2bc+/ePY4cOUL58uU5evQo48ePx8DAgPHjx7N582Z0dXUBJL1OCCGE+I5JUWQh/kJAQAD29vbUqFEDZ2dn5fWUlBR0dHRwc3PD1dWVO3fuYGhoyKlTpwgPD0dHR4f+/fsry0sBSiFEZuoaSjt37lQ6Eo0aNYqoqCh69+5NiRIlmD59Oubm5tjb27N79268vLyyzLg5c+YMt27dYuTIkRgYGBAXF4eRkVH27ZT4qr+6BqxYsYJXr15RrFgx+vfvT4ECBQAYNGgQHz58wNHRUUnZffPmDePGjSNXrlzMmTOHkiVLfrY96VwmhBBCfP9kho4Qf6FUqVK0atWK27dvK51E0tPT0dHRAeDt27fkyZOHlJQUNDQ0sLa2ZvDgwUowJzU1FUCCOUIIReab7SZNmlC5cmXOnTvHs2fPMDIyYuDAgfz++++cOnUKgA4dOqCjo8PTp0+JiIggJSWFc+fOsWDBAt6/f4+WlhY6OjoYGRmRnp4uhdZzEHXb8a9dAy5dukT16tXZu3cvWlpauLu7M23aNO7cuQPAgAEDeP/+PceOHVNm2xQqVIg2bdrw4MEDHjx4kGV76tRgCeYIIYQQ3z+ZoSPE3xAVFcXgwYMxNjZm9erVSjDn999/Z+zYsXTq1ImRI0d+tp7MyhFCfE1KSgrjx48nLi6OyMhI7t+/j52dHTNnzgTA1taW6Oho5s6di6WlJWvXrmXFihXo6+tTvHhxfHx8GDt2LFOnTs3mPRFfkzlw9/vvv+Pl5UWxYsWoWrUqVapUISoqiokTJ2Jubs6sWbMA2LdvH7Nnz8ba2prly5ejoaGBg4MDDx8+ZNKkSTRr1kzZ9tOnT6lQoUK27Z8QQgghspfM0BHibzAyMqJfv348f/4cLy8vIKON8Pjx4zE2NqZTp05fXE+COUKIL4mJiaF///48fPiQAQMG0KtXL4oVK8aJEyeUmYCDBg0iMjIST09PUlJSsLe3Z//+/SxYsIBu3brx8OFDJZijnpUhchYtLS1iY2MZNGgQzZs358GDBzg5OWFvb4+3tzdGRkb07duXUaNGERcXx5gxY5g4cSKmpqbcuXOHgwcPAjB8+HCSkpLYsWMHUVFRyrbVwRyZkSWEEEL8mCSgI8TfpC6AvGvXLvr06UOHDh2oVq0au3btUtqUCyFEZl/qXgQQHR3N3bt3mTBhAk2bNqVfv364urqSP39+9uzZQ3p6Oo0aNaJhw4Z4e3tz5swZAKpWrUrbtm2xtbWlQIECpKWloVKp0NSUy3lO9Ntvv1G+fHlevXrFzZs32blzJxs2bCAqKoqNGzcC0Lx5czQ1NRk0aBDBwcGcPn2affv28eHDB7y8vHj//j2lS5fGysqKKlWqkDdv3s8+Rx4eCCGEED8mGQEK8Tfp6OhgZ2fH77//TkJCArdv32bhwoWAdBERQnwuc/eilJSULO8FBgair69P4cKFlddq165NnTp1uHbtGkeOHAFgyJAhvHr1itu3b3+2DZVKhZaWltzM52C6urqYmprStWtXzMzMAGjUqBFJSUloaGgoNdb8/Px48OABzs7OVKxYER0dHfT19bl9+zZr164FYOLEiYwZM0Zq4wghhBBCoZ3dX0CIb0mtWrU4deoU5ubmQEYgR1NTUwbYQojPaGtnXGKdnZ0JDQ2lePHidO/enfLly1OzZk0iIyO5ffs2tWrVUoIyHTt2ZM2aNezevZu6detSunRp1q1bR+3atT/bvgRycr7GjRvTqFEjjh07Ro8ePUhOTmbYsGG8e/eO/PnzK7+R8PBw8ufPz7t37wA4deoUVapUwczMjNatW2fZZnp6uszIEkIIIQQgRZGF+H+TlrBCiMw+vdE+c+YMkydPxsjIiDZt2nDixAlMTU0ZP348devWxdnZmW3btuHp6UmlSpUA2LFjB2vXrkVXV5cJEybQsWPHr25ffBsCAgKwt7fn48ePhISEYGVlhampKUFBQcTFxdGrVy/q1auHnZ0dgYGBlChRAn9/fzZt2kTbtm2z++sLIYQQIgeTgI4QQgjxX8rc0S4yMpL8+fNjZ2dHxYoVmTx5MgB79uxhxowZNGzYkG3btgFQr149DAwMaNiwIaVLl2br1q3079+f5s2bKyk64tvn6urKunXrGDNmDPb29kBGYWwPDw+cnZ0ZM2YMJiYmGBkZce/ePUaPHo2JiQkggTwhhBBCfJ0EdIQQQoi/6dOb68x/jomJYdSoUWhqarJ27Vru3r1LuXLl0NLSYurUqZw8eZJatWrx8uVLJkyYgI2NDU+fPuXAgQOcOXOGDx8+YGdnx6hRo5TtZw4UiW/Xx48fGTRoEIUKFcLNzQ1tbW3l2B4+fJhVq1ZRvHhxJdAHMgtUCCGEEH9NAjpCCCHEX/g0sBIREYGxsbFSlPjKlSs8evSIy5cv4+TkROnSpdHU1CQ2NpYhQ4aQlpbGokWLyJ8/Px06dCBfvnzs378fAwMDAN69e4eRkZFyAy+BnO+Pp6cna9asYfDgwfTu3TtLwObdu3cULFhQWVZm5QghhBDi75DRghBCCPEnMgdXDh8+TKdOnZgyZQrz5s3jw4cPXL16lY4dO7J27VoGDx5MmTJllHV9fHy4c+cOTk5OWFhYKAEgHx8fpUseQMGCBdHS0lI65kkw5/vTvn17SpUqhZeXF69evUJLS0tpaa8O5qiPvwRzhBBCCPF3yIhBCCGE+BMaGhoEBgbStm1bHBwcaN++Pb1796Zt27YUKFCAhg0b0q1bN4KDg8mbNy/wxw15bGwsBQsWJCQkBIDjx49TsWJFFixYQOfOnT/7LEmx+X7p6OgwePBggoODuXPnDvB54E6OvxBCCCH+E5JyJYQQQvyJ2NhYhg4dip6eHnPmzKFEiRLKezExMbx9+xZ9fX3KlSvHvHnzGDp0KLq6ugA8ffqUuXPncu3aNUqVKsXTp09xd3enffv22bU7IhupVCqCgoIwNzfP7q8ihBBCiO+ABHSEEEKIP7Fv3z4mTpzI3r17qVevnjKrYuXKlbi5uVGhQgUOHDjA4sWL2bdvH56enpQtW1ZZPywsjPPnzxMZGcmQIUPIly8fIHVyfnRy/IUQQgjx35KUKyGEEOJP+Pj4YGpqSv369ZUb8IkTJ7J582Z69erFx48f2bZtG7NnzyY+Pp6dO3eSkJAAZNy0m5qaYmNjw4QJE8iXLx+pqamA1Mn50cnxF0IIIcR/SwI6QgghxJ8ICQkhV65cREREKK/NmjWLW7duMX/+fKpVq8bx48cJDg5m2bJlrFq16qs1UlQqFdra2v/q9xdCCCGEEN8nCegIIYQQf6JZs2Y8fvyYZ8+eKa/ly5dPqZMzaNAgHj9+zLZt2+jatSsVKlTg48ePX9yWzMoQQgghhBD/FAnoCCGEEH+iQ4cOFCpUiE2bNvHq1Ssgo4tV5o5E5ubm1K1bF4DLly9L0WMhhBBCCPE/JwEdIYQQ4k8UKVKEKVOmcOTIERYvXkxUVBTx8fFERUXh4eHBoEGDsLS0pHbt2gBoa2uTnp6OSiU9B4QQQgghxP+OdLkSQggh/oY5c+awY8cOoqOjqVChApqamgQFBTF79mwGDhyY3V9PCCGEEEL8YCSgI4QQQvwNKpWK8PBwTp8+TVpaGrq6ugwYMEB5Pz09HU1NmfgqhBBCCCH+HRLQEUIIIf4GlUr1xaLGqamp0rlKCCGEEEL86+RRohBCCPE3fCmYI23IhRBCCCFEdpGAjhBCCPH/JG3IhRBCCCFEdpGAjhBCCCGEEEIIIcQ3RgI6QgghhBBCCCGEEN8YCegIIYQQQgghhBBCfGMkoCOEEEIIIYQQQgjxjZGAjhBCCCGEEEIIIcQ3RgI6QgghhBBCCCGEEN8YCegIIYQQQgghhBBCfGMkoCOEEEIIkY2CgoIwMjLCyMjoH9vmlStXMDIy4ueff/7HtimEEEKInEUCOkIIIYT4brVr104JllSvXv0vl2/btq2yfK1atf6FbyiEEEII8f8jAR0hhBBC/BBevnzJjRs3vvp+QEDAn74vhBBCCJGTSEBHCCGEEN+9cuXKAbBz586vLrNz505UKpWyrBBCCCFETiYBHSGEEEJ89zp06ICBgQGHDx8mPj7+s/fT09PZs2cPWlpa9OzZMxu+oRBCCCHEf0YCOkIIIYT47unr69OpUydiYmI4fPjwZ+9funSJ0NBQWrZsSeHChb+6nZSUFDZv3oyVlRUlS5akcOHCVKlShbFjx/Ly5cuvrqdSqdi2bRtNmjShaNGilCpViu7du3Pt2rW/9f0vX77MgAEDqFChAiYmJpQqVYquXbty/Pjxv7V+ZklJSaxevZoWLVpgZmaGsbExZcqUoX79+kyaNAk/P7//eJtCCCGE+PdJQEcIIYQQP4S+ffsCX067Ur/Wp0+fr64fExNDx44dmThxIt7e3uTPn58KFSoQGRnJtm3baNCgASdPnvziuiNGjGDs2LH4+/uTP39+zM3NuXnzJh07duTo0aNf/UyVSoWDgwMdO3bk8OHDJCQkUKFCBXR0dDh//jx9+/Zl8uTJf/vvIC0tja5duzJz5kx8fHwwMjKicuXK5M2bl5cvX7Jp0yaOHTv2t7cnhBBCiOwjAR0hhBBC/BDq169P6dKluXbtGoGBgcrrUVFRHDt2jAIFCmBtbf3V9adMmcKNGzcwNjbm5MmT+Pn5cfHiRR4/fkz37t1JSEjAzs6OoKCgLOt5eHiwZ88etLW1Wb9+PY8ePeLChQs8ffqUvn374uTk9NXPXLVqFRs2bMDU1JQ9e/YQGBjI5cuXefr0KQcPHsTExISNGzeyZ8+ev/V3cPLkSa5du0axYsW4evUq9+7d4/z58/j6+hIaGsr+/fupW7fu39qWEEIIIbKXBHSEEEII8cPo06cPKpWKXbt2Ka8dOnSIxMREevToga6u7hfXCwoKUoImS5cupV69esp7+fLlw93dnZIlSxIbG8vq1auV91QqFStWrADAzs4uS30ePT09Vq5cibm5+Rc/MyoqChcXF7S0tNixYwdWVlZZ3m/RogXLli0DUD7jrzx79gyATp06UalSpSzvaWtr06pVK1q2bPm3tiWEEEKI7CUBHSGEEEL8MHr16oWmpiZ79uxBpVIBf6Rb9evX76vrnTt3jvT0dIoXL07Hjh0/e19bW5sRI0YAcObMGeX158+fExAQAMCwYcM+W09TU/OLr6u3ExsbS7Vq1ahWrdoXl7G2tkZHR4cnT54QERHx1e+vVqJECQAuXrzI27dv/3J5IYQQQuRc2tn9BYQQQggh/i3FixenSZMmXLhwgcuXL1O4cGF8fHyoXLkyP//881fXU89sKV++PJqaX34eVrFiRSBjNk9ycjK6uro8ffoUgDx58nx1Jk758uW/+PqDBw+U7X06OyczDQ0NAMLCwihSpMhXlwNo164dP/30E7///juWlpY0atSIevXqUbt2bWrXrk2uXLn+dH0hhBBC5BwS0BFCCCHED6Vv375cuHCBnTt3Kh2t1AWTvyY2NhaAQoUKfXWZzMGU2NhYChQooKxnbGz81fW+ts2oqCgAIiMjiYyM/NPvB3yxHfun9PT0OHnyJIsXL+bQoUOcPXuWs2fPAhmpY/3792f69OnkyZPnL7clhBBCiOwlAR0hhBBC/FDat2+PoaEhx44dQ19fH11dXXr06PGn6xgYGADw5s2bry6TOeVJvbz6v3+W3vS1berr6wMZaWLu7u5/+v3+E8bGxri4uLBkyRIeP37MzZs3OXfuHCdPnmT16tWEhYWxdevWf+zzhBBCCPG/ITV0hBBCCPFDyZ07N127diU+Pp7IyEisra0pUKDAn65TtmxZAB4/fkx6evoXl3n06BEA5ubmSnFl9Xrx8fGfdb9Se/z48RdfV6dwPXz48C/26P9HQ0ODChUqMHDgQLZv367UEvL09OT9+/f/k88UQgghxD9HAjpCCCGE+OEMHDiQJk2a0KRJE4YMGfKXy7do0QJNTU1CQ0M5cuTIZ++npqYqs2hat26tvF6mTBmlds6GDRs+W0+lUn3xdQArKyv09PS4f/8+Fy5c+Du79V+pU6eO8v/h4eH/888TQgghxH9HAjpCCCGE+OFUqVKFw4cPc/jwYRo1avSXy5uZmdGrVy8AJk+ezI0bN5T3YmJisLe3JzAwEAMDA0aOHKm8p6Ghwfjx44GMgM7+/fuV9xITE5kwYYLSBetTJiYmTJo0CYABAwawe/duUlNTsyzz4cMHdu/ezaxZs/7Wfq9evRpXV1eCg4OzvB4fH8+iRYuAjFo6FhYWf2t7QgghhMg+UkNHCCGEEOJvWLx4MQEBAdy4cQNra2tKly6NoaEhT548IT4+Hj09PTZu3EjJkiWzrNe/f3+uXr3K/v37sbOzY86cORQuXJjnz58TFxeHk5MTM2fO/OJnTpgwgY8fP7Jq1SpGjBjB5MmTsbCwQFtbmzdv3hAaGopKpaJBgwZ/ax9CQ0Nxd3fH0dGRIkWKULRoUZKTkwkMDCQuLg5tbW1WrlyJnp7ef/33JYQQQoj/LQnoCCGEEEL8DXnz5uXIkSNs27aN/fv38/vvvxMaGkrhwoXp3r07Y8eO/eLMFg0NDdavX0/9+vXZunUrT58+JS4ujlq1ajFhwgSKFy/+1YCOhoYGc+fOpXPnzmzevJnr16/z5MkT0tLSMDY2pkWLFrRu3Zp27dr9rX0YPHgwxsbGXLlyhZcvXyo1gYoVK0b9+vUZMWIElSpV+q/+noQQQgjx79CIiopSZfeXEEIIIYQQQgghhBB/n9TQEUIIIYQQQgghhPjGSEBHCCGEEEIIIYQQ4hsjAR0hhBBCCCGEEEKIb4wEdIQQQgghhBBCCCG+MRLQEUIIIYQQQgghhPjGSEBHCCGEEEIIIYQQ4hsjAR0hhBBCCCGEEEKIb4wEdIQQQgghhBBCCCG+MRLQEUIIIYQQQgghhPjGSEBHCCGEEEIIIYQQ4hsjAR0hhBBCCCGEEEKIb4wEdIQQQgghhBBCCCG+MRLQEUIIIYQQQgghhPjG/B8qeyLG1ikeawAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12, 5))\n",
    "df_best_models = pd.DataFrame().from_dict(best_score, orient='index').reset_index()\n",
    "df_best_models.columns = ['model', 'score']\n",
    "plt.plot(df_best_models['model'], df_best_models['score'], marker='o', ms=10, linewidth=2, linestyle='dashed')\n",
    "plt.xticks(fontsize=10, rotation=30)\n",
    "plt.xlabel('Models')\n",
    "plt.ylabel('Score')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the scatter chart of predicted results w.r.t true target variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model = 'GradientBoostingRegressor'\n",
    "y_pred = best_models[model].predict(X_test)\n",
    "# y_pred = pipeline.predict(X_test)\n",
    "\n",
    "plt.figure(figsize=(10, 7))\n",
    "plt.scatter(y_test, y_pred, alpha=0.6)\n",
    "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', lw=2)\n",
    "plt.xlabel('True Salary')\n",
    "plt.ylabel('Predicted Salary')\n",
    "plt.title(f'True vs. Predicted Salary ({model} Regressor)')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'LinearRegression': 0.8556488025821867,\n",
       " 'DecisionTreeRegressor': 0.8889224873500357,\n",
       " 'ExtraTreeRegressor': 0.8997287368978805,\n",
       " 'GradientBoostingRegressor': 0.9160396975265999,\n",
       " 'RandomForestRegressor': 0.9111265431473127,\n",
       " 'Ridge': 0.903617312335013,\n",
       " 'Lasso': 0.9027462613325834,\n",
       " 'ElasticNet': 0.9046184977910675}"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "DataScienceKernel",
   "language": "python",
   "name": "other-env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}