{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Load the dataset\n",
        "file_path = \"/content/Housing (1).csv\"\n",
        "df = pd.read_csv(file_path)\n",
        "\n",
        "# 1. Handling Missing Values\n",
        "print(\"Missing values before handling:\\n\", df.isnull().sum())\n",
        "\n",
        "# Fill missing values (if any) with median for numerical and mode for categorical\n",
        "df.fillna({col: df[col].median() if df[col].dtype != 'O' else df[col].mode()[0] for col in df.columns}, inplace=True)\n",
        "print(\"Missing values after handling:\\n\", df.isnull().sum())\n",
        "\n",
        "# 2. Box Plot for Each Column to Identify Outliers\n",
        "numerical_cols = ['price', 'area', 'bedrooms', 'bathrooms', 'stories', 'parking']\n",
        "plt.figure(figsize=(15, 10))\n",
        "for i, col in enumerate(numerical_cols, 1):\n",
        "    plt.subplot(2, 3, i)\n",
        "    sns.boxplot(y=df[col])\n",
        "    plt.title(f'Box Plot of {col}')\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "# 3. Handling Outliers using IQR method\n",
        "def remove_outliers(df, column):\n",
        "    Q1 = df[column].quantile(0.25)\n",
        "    Q3 = df[column].quantile(0.75)\n",
        "    IQR = Q3 - Q1\n",
        "    lower_bound = Q1 - 1.5 * IQR\n",
        "    upper_bound = Q3 + 1.5 * IQR\n",
        "    return df[(df[column] >= lower_bound) & (df[column] <= upper_bound)]\n",
        "\n",
        "for col in numerical_cols:\n",
        "    df = remove_outliers(df, col)\n",
        "\n",
        "print(\"Dataset shape after outlier removal:\", df.shape)\n",
        "\n",
        "# 4. Data Visualization - Scatter Plot\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.scatterplot(x=df['area'], y=df['price'], alpha=0.5)\n",
        "plt.xlabel('Area')\n",
        "plt.ylabel('Price')\n",
        "plt.title('Scatter Plot of Area vs Price')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "df1p9de4nBLl",
        "outputId": "7fc9d006-e88a-4d5e-a526-f2aede4dc573"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Missing values before handling:\n",
            " price               0\n",
            "area                0\n",
            "bedrooms            0\n",
            "bathrooms           0\n",
            "stories             0\n",
            "mainroad            0\n",
            "guestroom           0\n",
            "basement            0\n",
            "hotwaterheating     0\n",
            "airconditioning     0\n",
            "parking             0\n",
            "prefarea            0\n",
            "furnishingstatus    0\n",
            "dtype: int64\n",
            "Missing values after handling:\n",
            " price               0\n",
            "area                0\n",
            "bedrooms            0\n",
            "bathrooms           0\n",
            "stories             0\n",
            "mainroad            0\n",
            "guestroom           0\n",
            "basement            0\n",
            "hotwaterheating     0\n",
            "airconditioning     0\n",
            "parking             0\n",
            "prefarea            0\n",
            "furnishingstatus    0\n",
            "dtype: int64\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x1000 with 6 Axes>"
            ],
            "image/png": 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np6eCg4M5Ax0AAAAohaFnop84cUKpqalKTU2VdO5iRqmpqcrMzJR07kyzQYMG2epHjBihvXv36tlnn9Xu3bs1d+5cffTRRxo/frwR8YFqLScnR5K0bt06ubm56emnn9Ynn3yip59+Wm5ublq3bp1dHYDqpaiB/uuvv2rdunVq0KCB3XxoaKhyc3O1bds229hXX30li8Wijh072mqSk5N15swZW83atWvVrFkz1a9f31azfv16u+fmC3Kg/JlMJoWEhKhr164KCQmhgQ4AAACch6FN9K1btyokJMR2FuuECRMUEhKimJgYSdLhw4dtDXVJCgwM1IoVK7R27Vq1bt1a06dP11tvvaXw8HBD8gPVWdEZp/Xq1VNSUpJ69eqlBg0aqFevXkpKSlK9evXs6gBULef7IvvMmTO6//77tXXrViUmJspsNisrK0tZWVkqLCyUJLVo0ULdu3fX448/rs2bN+v777/X6NGjNWDAAPn7+0uSBg4cKGdnZw0dOlTp6en68MMPNWvWLE2YMMGWY+zYsVq1apWmT5+u3bt3a/Lkydq6datGjx5d4e8JAAAAAAAlMXQ7l9tvv11Wq7XU+cWLF5f4mB07dpRjKgCStHfvXkmSt7e3rFarduzYYfvJd6tWrdSwYUMdP35ce/fuVYcOHQxOC+BSbd26VV26dLHdL2psDx48WJMnT9Znn30mSWrTpo3d477++mvdfvvtkqTExESNHj1aXbt2laOjo+677z69+eabtlp3d3etWbNGkZGRateunby8vBQTE6Phw4fbam655RYtWbJE0dHReuGFF3T99ddr2bJlatWqVTkdOQAAAAAAl6ZK7YkOoOJkZWVJkn7//Xf16tVLBQUFtjkXFxfb/aI6AFXLhb7IPt9cEU9PTy1ZsuS8NcHBwfr222/PW9O/f3/179//gq8HAAAAAIARDN3OBUDlVbQdQ1nVAQAAAAAAAFURZ6IDKFGvXr0UHx+vWrVqadmyZdq9e7dtO5fmzZurT58+OnPmjHr16mV0VAAAAAAAAKDccCY6gBLt3r1bknTmzBkNHDhQBw4cUOvWrXXgwAENHDhQZ86csasDAAAAAAAAqiPORAdQopycHEnSfffdp2XLlmn69Om2OZPJpPvuu0+ffPKJrQ4AAFQdZrNZaWlptl+ZBQcHy2QyGR0LAAAAqJRoogMokaenpyTpjjvu0BNPPKHly5fr0KFD8vf3V9++ffXrr7/qk08+sdUBAICqITk5WXPnzrW7OLivr69GjRqlsLAwA5MBAAAAlRPbuQAoUXBwsHx9fZWYmCgnJyf1799fY8eOVf/+/eXk5KTExET5+fkpODjY6KgAAOAiJScna9KkScV+SZaTk6NJkyYpOTnZoGQAAABA5UUTHUCJTCaTRo0apZSUFEVHRys9PV2nTp1Senq6oqOjlZKSopEjR/LTbwAAqgiz2awZM2bIarXKwcHBbs7BwUFWq1VvvPGGzGazQQkBAACAyontXACUKiwsTLGxsZo7d64iIyNt435+foqNjeUn3wAAVCGpqanKzc2VJLVt21YPP/ywAgMDlZGRoffff18pKSk6duyYUlNT1a5dO2PDAgAAAJUITXQA5xUWFqZOnTpx8TEAAKq47du3S5JatmypadOmydHx3I9Sg4KCNG3aNI0ePVq7du3S9u3baaIDAAAA/0ATHcAFmUwmhYSEGB0DAABcgSNHjkiSunXrZmugF3F0dFTXrl21a9cuWx0AAACAc9gTHQAAAKgBvL29JUnr1q2TxWKxm7NYLFq/fr1dHQAAAIBzOBMdwAWZzWa2cwEAoIpr27atEhMTtWvXLr3wwgvq2LGjXFxcVFBQoE2bNmnXrl22OgAAAAD/jyY6gPNKTk7W3LlzlZWVZRvz9fXVqFGjuLAoAABVSJs2beTh4aHc3Fz98MMP+uGHH4rV1K9fX23atKn4cAAAAEAlxnYuAEqVnJysSZMmqUmTJoqPj9fKlSsVHx+vJk2aaNKkSUpOTjY6IgAAuEgmk0ndu3eXJDk4ONjNFd0PDw/n12YAAADAv9BEB1Ais9msuXPnKjQ0VDExMdq1a5cWLFigXbt2KSYmRqGhoZo3b57MZrPRUQEAwEUwm83asGGDmjVrJh8fH7s5Hx8fNWvWTN988w1rOwAAAPAvbOcCoERpaWnKyspSq1at1LNnT7sP1AkJCerSpYsOHz6stLQ0hYSEGJgUAABcjKK1/cUXX1Tz5s2LXe9k9+7dioyMZG0HAAAA/oUmOoAS5eTkSJLWrVun+vXra+jQoQoNDVVKSorefvttrVu3zq4OAABUbkVrdmBgoEwmU7FGeWBgoF0dAAAAgHPYzgVAidzc3CRJ9erVU1JSknr16qUGDRqoV69eSkpKUr169ezqAABA5ebp6SlJysjIKHG+aLyoDgAAAMA5NNEBlGjv3r2SJG9vbzk62v9V4ejoqIYNG9rVAQCAyi04OFi+vr5KTEyUxWKxm7NYLEpMTJSfn5+Cg4MNSggAAABUTjTRAZQoKytLkvT7778rOjpa6enpOnXqlNLT0xUdHW1rnhfVAQCAys1kMmnUqFFKSUkpcW1PSUnRyJEjZTKZjI4KAAAAVCrsiQ6gRP7+/pKkPn36aPPmzYqMjLTN+fn5qXfv3vr8889tdQAAoPILCwtTbGys5s6dW2xtj42NVVhYmIHpAAAAgMqJJjqAEvXt21cJCQn69ttvtXTpUu3atUs5OTny9PRUy5YtNWDAAJlMJvXt29foqAAA4BKEhYWpU6dOSktLs63twcHBnIEOAAAAlILtXACUyNnZWf3799exY8c0YMAAHThwQK1bt9aBAwc0YMAAHTt2TP3795ezs7PRUQEAwCUymUwKCQlR165dFRISQgMdAAAAOA/OREe1dvr0aWVmZhodo8q64447lJOTo3Xr1mn69Om2cUdHR911112644479MsvvxiYsGpr1KiRXF1djY4BAAAAAACA86CJjmotMzNTw4cPNzpGtWOxWLRmzRqtWbPG6ChV2vz583XDDTcYHQMAAAAAAADnQRMd1VqjRo00f/58o2NUC/v27dO0adM0ceJENW7c2Og41UKjRo2MjgAAqKHMZjN7ogMAAAAXiSY6qjVXV1fO9C1jjRs35j0FAKAKS05O1ty5c5WVlWUb8/X11ahRoxQWFmZgMgAAAKBy4sKiAAAAQA2RnJysSZMmqUmTJoqPj9fKlSsVHx+vJk2aaNKkSUpOTjY6IgAAAFDp0EQHAAAAagCz2ay5c+cqNDRUU6dOVVBQkOrUqaOgoCBNnTpVoaGhmjdvnsxms9FRAQAAgEqFJjoAAABQA6SlpSkrK0sRERFydLT/GODo6KiIiAgdPnxYaWlpBiUEAAAAKiea6AAAAEANkJOTI0kKDAwscb5ovKgOAAAAwDk00QEAAIAawNPTU5KUkZFR4nzReFEdAAAAgHNoogMAAAA1QHBwsHx9fZWYmCiLxWI3Z7FYlJiYKD8/PwUHBxuUEAAAAKicaKIDAAAANYDJZNKoUaOUkpKi6Ohopaen69SpU0pPT1d0dLRSUlI0cuRImUwmo6MCAAAAlYqT0QEAAACAi3X69GllZmYaHaPK8vX11RNPPKGkpCRFRkbaxr28vPTEE0/I19dXv/zyi4EJq65GjRrJ1dXV6BgAAAAoBzTRAQAAUGVkZmZq+PDhRseodo4ePaqEhASjY1Rp8+fP1w033GB0DKBS+c9//qOoqCiNHTtWM2fONDoOAACXjSY6AAAAqoxGjRpp/vz5RseoFvbt26dp06Zp4sSJaty4sdFxqrxGjRoZHQGoVLZs2aL//ve/XGcBAFAt0EQHAABAleHq6srZvmWscePGvKcAytSJEycUERGhBQsWaOrUqUbHAQDgitFEBwAAAAAAZSYyMlI9e/ZUt27dLthELygoUEFBge1+fn5+ecdDJcK1TlCZcb0T/BNNdAAAAAAAUCaWLl2q7du3a8uWLRdVHxcXp9jY2HJOhcqKa52gMuN6J/gnmugAAAAAAOCK7d+/X2PHjtXatWsv+uzNqKgoTZgwwXY/Pz9fAQEB5RURlQzXOik7XOuk7HG9E/wTTXQAAAAAAHDFtm3bpiNHjqht27a2MbPZrOTkZM2ZM0cFBQUymUx2j3FxcZGLi0tFR0UlwbVOyh7XOgHKB010AAAAAABwxbp27aqdO3fajQ0ZMkTNmzfXc889V6yBDgBAVUETHQAAAAAAXLF69eqpVatWdmN169ZVgwYNio0DAFCVOBodAAAAAAAAAACAyooz0QEAAAAAQLnYsGGD0REAALhinIkOAEANlJycrN69e8vf318ODg5atmyZ3bzValVMTIz8/PxUu3ZtdevWTb/++qtdTU5OjiIiIuTm5iYPDw8NHTpUJ06csKtJS0tT586d5erqqoCAAL366qvFsiQlJal58+ZydXXVjTfeqJUrV5b58QIAAAAAcLloogMAUAOdPHlSrVu3Vnx8fInzr776qt58800lJCRo06ZNqlu3rsLDw3X69GlbTUREhNLT07V27Vp98cUXSk5O1vDhw23z+fn5uuuuu9S4cWNt27ZNr732miZPnqz58+fbajZu3KiHHnpIQ4cO1Y4dO9SvXz/169dPP/30U/kdPAAAAAAAl4DtXAAAqIF69OihHj16lDhntVo1c+ZMRUdHq2/fvpKkd999Vz4+Plq2bJkGDBign3/+WatWrdKWLVvUvn17SdLs2bN199136/XXX5e/v78SExNVWFiohQsXytnZWUFBQUpNTdWMGTNszfZZs2ape/fueuaZZyRJL730ktauXas5c+YoISGhxHwFBQUqKCiw3c/Pzy+z9wUAAAAAgH/jTHQAAGAnIyNDWVlZ6tatm23M3d1dHTt2VEpKiiQpJSVFHh4etga6JHXr1k2Ojo7atGmTrSYsLEzOzs62mvDwcO3Zs0fHjh2z1fzzdYpqil6nJHFxcXJ3d7fdAgICrvygAQCo4bZv366dO3fa7i9fvlz9+vXTCy+8oMLCQgOTAQBgPJroAADATlZWliTJx8fHbtzHx8c2l5WVJW9vb7t5JycneXp62tWU9Bz/fI3SaormSxIVFaW8vDzbbf/+/Zd6iAAA4F+eeOIJ/fLLL5KkvXv3asCAAapTp46SkpL07LPPGpwOAABj0UQHAABViouLi9zc3OxuAADgyvzyyy9q06aNpHMX/Q4LC9OSJUu0ePFiffLJJ8aGAwDAYDTRAQCAHV9fX0lSdna23Xh2drZtztfXV0eOHLGbP3v2rHJycuxqSnqOf75GaTVF8wAAoGJYrVZZLBZJ0rp163T33XdLkgICAnT06FEjowEAYDia6AAAwE5gYKB8fX21fv1621h+fr42bdqk0NBQSVJoaKhyc3O1bds2W81XX30li8Wijh072mqSk5N15swZW83atWvVrFkz1a9f31bzz9cpqil6HQAAUDHat2+vqVOn6r333tM333yjnj17Sjp3rZR/b70GAEBNQxMdAIAa6MSJE0pNTVVqaqqkcx+QU1NTlZmZKQcHB40bN05Tp07VZ599pp07d2rQoEHy9/dXv379JEktWrRQ9+7d9fjjj2vz5s36/vvvNXr0aA0YMED+/v6SpIEDB8rZ2VlDhw5Venq6PvzwQ82aNUsTJkyw5Rg7dqxWrVql6dOna/fu3Zo8ebK2bt2q0aNHV/RbAgBAjTZz5kxt375do0eP1sSJE9W0aVNJ0scff6xbbrnF4HQAABjLyegAAACg4m3dulVdunSx3S9qbA8ePFiLFy/Ws88+q5MnT2r48OHKzc3VrbfeqlWrVsnV1dX2mMTERI0ePVpdu3aVo6Oj7rvvPr355pu2eXd3d61Zs0aRkZFq166dvLy8FBMTo+HDh9tqbrnlFi1ZskTR0dF64YUXdP3112vZsmVq1apVBbwLAACgSHBwsHbu3Fls/LXXXpPJZDIgEQAAlQdNdAAAaqDbb79dVqu11HkHBwdNmTJFU6ZMKbXG09NTS5YsOe/rBAcH69tvvz1vTf/+/dW/f//zBwYAABXmxIkTtv3Ri9SqVcugNAAAGI/tXAAAAAAAqOEyMjLUs2dP1a1bV+7u7qpfv77q168vDw8P27VMAACoqTgTHQAAAACAGu7hhx+W1WrVwoUL5ePjIwcHB6MjAQBQaRjeRI+Pj9drr72mrKwstW7dWrNnz9ZNN91Uav3MmTM1b948ZWZmysvLS/fff7/i4uLs9mgFAAAAAAAX78cff9S2bdvUrFkzo6MAAFDpGLqdy4cffqgJEyZo0qRJ2r59u1q3bq3w8HAdOXKkxPolS5bo+eef16RJk/Tzzz/r7bff1ocffqgXXnihgpMDAAAAAFB9dOjQQfv37zc6BgAAlZKhZ6LPmDFDjz/+uIYMGSJJSkhI0IoVK7Rw4UI9//zzxeo3btyoTp06aeDAgZKka6+9Vg899JA2bdpUobkBAAAAAKhO3nrrLY0YMUIHDx5Uq1atil1INDg42KBkAAAYz7AmemFhobZt26aoqCjbmKOjo7p166aUlJQSH3PLLbfo/fff1+bNm3XTTTdp7969WrlypR555JFSX6egoEAFBQW2+/n5+WV3EAAAAAAAVAN//vmnfv/9d9tJbpLk4OAgq9UqBwcHmc1mA9MBAGAsw5roR48eldlslo+Pj924j4+Pdu/eXeJjBg4cqKNHj+rWW2+V1WrV2bNnNWLEiPNu5xIXF6fY2NgyzQ4AAAAAQHXy2GOPKSQkRB988AEXFgUA4F8Mv7DopdiwYYNefvllzZ07Vx07dtRvv/2msWPH6qWXXtKLL75Y4mOioqI0YcIE2/38/HwFBARUVGQAAAAAACq9ffv26bPPPlPTpk2NjgIAQKVjWBPdy8tLJpNJ2dnZduPZ2dny9fUt8TEvvviiHnnkEQ0bNkySdOONN+rkyZMaPny4Jk6cKEfH4tdJdXFxkYuLS9kfAAAAAAAA1cQdd9yhH3/8kSY6AAAlMKyJ7uzsrHbt2mn9+vXq16+fJMlisWj9+vUaPXp0iY85depUsUa5yWSSJFmt1nLNCwAAAABAddW7d2+NHz9eO3fu1I033ljswqJ9+vQxKBkAAMa77Cb6e++9p4SEBGVkZCglJUWNGzfWzJkzFRgYqL59+17Uc0yYMEGDBw9W+/btddNNN2nmzJk6efKk7UImgwYN0tVXX624uDhJ5xb1GTNmKCQkxLady4svvqjevXvbmukAAAAAAODSjBgxQpI0ZcqUYnNcWBQAUNNdVhN93rx5iomJ0bhx4zRt2jTbYurh4aGZM2dedBP9wQcf1J9//qmYmBhlZWWpTZs2WrVqle1io5mZmXZnnkdHR8vBwUHR0dE6ePCgGjZsqN69e2vatGmXcxgAAFQpZrNZb7zxhj766CNlZmaqsLDQbj4nJ8egZAAAoKqzWCxGRwAAoNIqvon4RZg9e7YWLFigiRMn2p0B3r59e+3cufOSnmv06NHat2+fCgoKtGnTJnXs2NE2t2HDBi1evNh238nJSZMmTdJvv/2mv//+W5mZmYqPj5eHh8flHAYAAFVKbGysZsyYoQcffFB5eXmaMGGC7r33Xjk6Omry5MlGxwMAAAAAoFq6rCZ6RkaGQkJCio27uLjo5MmTVxwKAAAUl5iYqAULFuipp56Sk5OTHnroIb311luKiYnRDz/8YHQ8AABQxX3zzTfq3bu3mjZtqqZNm6pPnz769ttvjY4FAIDhLquJHhgYqNTU1GLjq1atUosWLa40EwAAKEFWVpZuvPFGSdJVV12lvLw8SVKvXr20YsUKI6MBAIAq7v3331e3bt1Up04djRkzRmPGjFHt2rXVtWtXLVmyxOh4AAAY6rL2RJ8wYYIiIyN1+vRpWa1Wbd68WR988IHi4uL01ltvlXVGAAAg6ZprrtHhw4fVqFEjXXfddVqzZo3atm2rLVu2yMXFxeh4AACgCps2bZpeffVVjR8/3jY2ZswYzZgxQy+99JIGDhxoYDoAAIx1WU30YcOGqXbt2oqOjtapU6c0cOBA+fv7a9asWRowYEBZZwQAAJLuuecerV+/Xh07dtSTTz6phx9+WG+//bYyMzPtPvACAABcqr1796p3797Fxvv06aMXXnjBgEQAAFQel9VEl6SIiAhFRETo1KlTOnHihLy9vcsyFwAA+Jf//Oc/tj8/+OCDatSokVJSUnT99deX+KEXAADgYgUEBGj9+vVq2rSp3fi6desUEBBgUCoAACqHy2qiZ2Rk6OzZs7r++utVp04d1alTR5L066+/qlatWrr22mvLMiMAAChBaGioQkNDjY4BAACqgaeeekpjxoxRamqqbrnlFknS999/r8WLF2vWrFkGpwMAwFiXdWHRRx99VBs3biw2vmnTJj366KNXmgkAAJTivffeU6dOneTv7699+/ZJkmbOnKnly5cbnAwAAFRlI0eO1NKlS7Vz506NGzdO48aN008//aQPP/xQTzzxhNHxAAAw1GU10Xfs2KFOnToVG7/55puVmpp6pZkAAEAJ5s2bpwkTJujuu+9Wbm6uzGazJMnDw0MzZ840NhwAAKjy7rnnHn333Xf666+/9Ndff+m7775T3759jY4FAIDhLquJ7uDgoOPHjxcbz8vLs32gBwAAZWv27NlasGCBJk6cKJPJZBtv3769du7caWAyAABQXWzbtk3vv/++3n//fe3YscPoOAAAVAqXtSd6WFiY4uLi9MEHH9g+xJvNZsXFxenWW28t04AAAOCcjIwMhYSEFBt3cXHRyZMnDUgEAACqiyNHjmjAgAHasGGDPDw8JEm5ubnq0qWLli5dqoYNGxobEAAAA11WE/2VV15RWFiYmjVrps6dO0uSvv32W+Xn5+urr74q04AAAOCcwMBApaamqnHjxnbjq1atUosWLQxKBQAAqoMnn3xSx48fV3p6uu3fFbt27dLgwYM1ZswYffDBBwYnBADAOJfVRG/ZsqXS0tI0Z84c/fjjj6pdu7YGDRqk0aNHy9PTs6wzAgAASRMmTFBkZKROnz4tq9WqzZs364MPPlBcXJzeeusto+MBAIAqbNWqVVq3bp3dF/MtW7ZUfHy87rrrLgOTAQBgvMtqokuSv7+/Xn755bLMAgAAzmPYsGGqXbu2oqOjderUKQ0cOFD+/v6aNWuWBgwYYHQ8AABQhVksFtWqVavYeK1atWSxWAxIBABA5XHRTfS0tDS1atVKjo6OSktLO29tcHDwFQcDAAD/7+zZs1qyZInCw8MVERGhU6dO6cSJE/L29jY6GgAAqAbuuOMOjR07Vh988IH8/f0lSQcPHtT48ePVtWtXg9MBAGCsi26it2nTRllZWfL29labNm3k4OAgq9VarM7BwUFms7lMQwIAUNM5OTlpxIgR+vnnnyVJderUUZ06dQxOBQAAqos5c+aoT58+uvbaaxUQECBJ2r9/v1q1aqX333/f4HQAABjropvoGRkZtqtxZ2RklFsgAABQsptuukk7duwodmFRAACAKxUQEKDt27dr3bp12r17tySpRYsW6tatm8HJAAAw3kU30Ys+sJ85c0axsbF68cUXFRgYWG7BAACAvVGjRumpp57SgQMH1K5dO9WtW9dunu3UAADA5Thz5oxq166t1NRU3XnnnbrzzjuNjgQAQKVyyRcWrVWrlj755BO9+OKL5ZEHAACUoujioWPGjCk2x3ZqAADgctWqVUuNGjXi3xIAAJTikpvoktSvXz8tW7ZM48ePL+s8AACgFGynBgAAysvEiRP1wgsv6L333pOnp6fRcQAAqFQuq4l+/fXXa8qUKfr+++9L/Dl5SWfIAQCAK1O0tdquXbuUmZmpwsJC25yDgwN7pQMAgMs2Z84c/fbbb/L391fjxo2Lfc7fvn27QckAADDeZTXR3377bXl4eGjbtm3atm2b3ZyDgwNNdAAAysHevXt1zz33aOfOnXJwcJDVapV0bu2VxE+wAQDAZevXr5/REQAAqLQuq4n+z5+T//sDPAAAKB9jx45VYGC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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset shape after outlier removal: (365, 13)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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0Ez766CM899xz+Pzzz7Fw4UKce+65sSEm//znPzF27Fi88soraGlpwZgxY/Ctb32LPUFEKvfuu++mnDlNzGcRG0UuuugiaLVa3H///Umt+OLf63S6hH8DQDAYxO9+97ukz7fZbCmHRIlBQ09PT8LrM2bMwLhx4/Doo4+ir68v6e8OHjw45D4WSl1dHY4//ng89dRTCeXduHEj3nrrLZx33nmx14bar1RmzpyJmpoa/P73v0cgEIi9/vrrr2Pz5s1YsGBBxmX1+Xx48cUXcf755+PSSy9N+u+mm26Cx+MZcZrmmpoanHbaafjDH/4QC5DjxZ8HnU6XVLeWLl2aUc7L5Zdfjo8//hh/+tOfcOjQoYShcABw+PDhhH9rtVpMmzYNABKOXTGccMIJaGlpwa9+9auk8yweh0yOHxFRIammJ2g4bW1tWLJkCdra2mJTkt5xxx144403sGTJEjz00EPYsWMHdu/ejaVLl+LPf/4zIpEIvv/97+PSSy/FO++8I/EeEFGh3HzzzfB6vbj44osxadIkBINBfPjhh3j++ecxZswYXHfddQAGhuj86Ec/wgMPPIBTTjkFl1xyCUwmE1avXo36+nosXrwYc+bMQXl5Oa655hrccsst0Gg0+Mtf/pIyyJoxYwaef/553H777Zg1axbsdjsuuOACjBs3DmVlZfj9738Ph8MBm82Gk046CS0tLfjf//1fzJ8/H1OmTMF1112HhoYG7Nu3D++++y6cTif++c9/Fvvw4ZFHHsH8+fMxe/Zs3HDDDbEpsl0uF+69996E/QUGpgf/l3/5FxgMBlxwwQUpF3A1GAz46U9/iuuuuw6nnnoqrrjiitgU2WPGjMH3v//9jMv5j3/8Ax6PB1//+tdTvv/Vr34V1dXVePrpp5MCjcF++9vf4uSTT8bUqVPx7W9/G2PHjkVHRwc++ugj7N27N7YO0Pnnn4/7778f1113HebMmYMNGzbg6aefjvWGpOOyyy7DHXfcgTvuuAMVFRVJvSdiY90ZZ5yBxsZG7N69G7/5zW9w/PHH49hjj037e/JBq9Xi8ccfxwUXXIDjjz8e1113Herq6vDll1/iiy++wJtvvgkg/eNHRFRQks1LV0AAhJdeein2b3FaVZvNlvCfXq8XLrvsMkEQBOHb3/62AEDYsmVL7O/Wrl0rABC+/PLLYu8CERXJ66+/Llx//fXCpEmTBLvdLhiNRmH8+PHCzTffLHR0dCRt/6c//UmYPn26YDKZhPLycuHUU0+NTbcsCIKwcuVK4atf/apgsViE+vr62JTbiJtKWBAEoa+vT/jXf/1XoaysTACQMF323//+d2Hy5MmCXq9PmpL6008/FS655BKhsrJSMJlMwujRo4XLLrtMWL58eWwbcYrsgwcPpnUMxKmOly5dOux2qabIFgRBePvtt4W5c+cKFotFcDqdwgUXXCBs2rQp6e8feOABoaGhQdBqtWlNl/3888/HjnVFRYVw5ZVXCnv37k3YJt0psi+44ALBbDYL/f39Q25z7bXXCgaDQTh06FBsXx955JGU227fvl24+uqrhdraWsFgMAgNDQ3C+eefL/ztb3+LbeP3+4V///d/F+rq6gSLxSLMnTtX+Oijj4RTTz1VOPXUU4ctb7y5c+cKAIRvfetbSe/97W9/E84++2yhpqZGMBqNQnNzs/Dd735XOHDgwIifC0BYtGjRsNsMVzcGT5Et+uCDD4R58+YJDodDsNlswrRp05Km+k7n+BERFZJGELJYQU/mNBoNXnrpJVx00UUAgOeffx5XXnklvvjii9hwFZHdbkdtbS1+/OMf46GHHkIoFIq95/P5YLVa8dZbb2HevHnF3AUiIiIiIiqQkhgON336dEQiEXR2dsZWYB9s7ty5CIfD2L59eyy5c+vWrQCQdRIuERERERHJj2p6gvr6+tDa2gpgIOj5xS9+gdNPPx0VFRVobm7GVVddhZUrV+LnP/85pk+fjoMHD2L58uWYNm0aFixYgGg0GhuX/6tf/QrRaBSLFi2C0+nEW2+9JfHeERERERFRvqgmCFqxYkVsBfB411xzDZ588kmEQiH85Cc/wZ///Gfs27cPVVVV+OpXv4r77rsPU6dOBQDs378fN998M9566y3YbDbMnz8fP//5zxNWQiciIiIiImVTTRBERERERESUjpJZJ4iIiIiIiAhgEERERERERCVG0bPDRaNR7N+/Hw6HAxqNRuriEBERERGRRARBgMfjQX19PbTa4ft6FB0E7d+/H01NTVIXg4iIiIiIZGLPnj1obGwcdhtFB0EOhwPAwI46nU6JS0NERERERFJxu91oamqKxQjDUXQQJA6BczqdDIKIiIiIiCitNBlOjEBERERERCWFQRAREREREZUUBkFERERERFRSGAQREREREVFJYRBEREREREQlhUEQERERERGVFAZBRERERERUUhgEERERERFRSWEQREREREREJYVBEBERERERlRQGQUREREREVFIYBBERERERUUlhEERERERERCWFQRAREREREZUUvdQFICIiylafP4x9PT70B8OwG/WoL7PAbuZPGxERDY+/FEREpEh7u71YtqkDPd5Q7LUyqwHzJo9CY7lVwpIREZHccTgcEREpTp8/nBQAAUCPN4RlmzrQ5w9LVDIiIlICBkFERKQ4+3p8SQGQqMcbwr4eX5FLRERESsIgiIiIFKc/OHxPj3eE94mIqLQxCCIiIsWxGYdPabWO8D4REZU2SYMgj8eD2267DaNHj4bFYsGcOXOwevVqKYtEREQK0FBmQZnVkPK9MqsBDWWWIpeIiIiURNIg6Fvf+haWLVuGv/zlL9iwYQPOPvtsnHXWWdi3b5+UxSIiIpmzm/WYN3lUUiAkzg7HabKJiGg4GkEQBCm+2OfzweFw4O9//zsWLFgQe33GjBmYP38+fvKTnyT9TSAQQCAQiP3b7XajqakJvb29cDqdRSk3ERHJh7hOkDcYhtWoRwPXCSIiKllutxsulyut2ECyX4pwOIxIJAKz2ZzwusViwQcffJDybxYvXoz77ruvGMUjIiIFsJv1mFjrkLoYRESkMJL1BAHAnDlzYDQa8cwzz2DUqFF49tlncc0112D8+PHYsmVL0vbsCSIiIiIiolQy6QmSNCfoL3/5CwRBQENDA0wmE37961/jiiuugFabulgmkwlOpzPhPyIiIiIiokxIGgSNGzcO7733Hvr6+rBnzx6sWrUKoVAIY8eOlbJYRERERESkYrJYJ8hms6Gurg7d3d148803ceGFF0pdJCIiIiIiUilJp9B58803IQgCJk6ciNbWVvzgBz/ApEmTcN1110lZLCIiIiIiUjFJe4J6e3uxaNEiTJo0CVdffTVOPvlkvPnmmzAYUi+AR0RERERElCtJZ4fLVSYzQBARERERkXopZnY4IiIiIiKiYmMQREREREREJYVBEBERERERlRRJZ4cjIhpJnz+MfT0+9AfDsBv1qC+zwG7mrYuIiIiyxycJIpKtvd1eLNvUgR5vKPZamdWAeZNHobHcKmHJiIiISMk4HI6IZKnPH04KgACgxxvCsk0d6POHJSoZERERKR2DICKSpX09vqQASNTjDWFfj6/IJSIiIiK1YBBERLLUHxy+p8c7wvtEREREQ2EQRESyZDMOn7JoHeF9IiIioqHwKYKIZKmhzIIyqyHlkLgyqwENZRYJSkVENDLOakkkf7wiiUiW7GY95k0eNeTscHygICI54qyWRMrApwgikq3GcisWzmjCvh4fvMEwrEY9GtiiSkQyNdKslgtnNPH+RSQTvBKJSNbsZj0m1jqkLgYR0YjSmdWS9zMieeDECERERER5wFktiZSDQRARERFRHnBWSyLlYBBERERElAfirJapcFZLInlhEERERESUB+KsloMDIc5qSSQ/vBqJiIiI8oSzWhIpA69IIiIiojzirJZE8sfhcEREREREVFIYBBERERERUUlhEERERERERCWFQRAREREREZUUToxARERERAXR5w9jX48P/cEw7EY96jlTHskEayERERER5d3ebi+WbepAjzcUe01cM6mx3CphyYg4HI6IiIiI8qzPH04KgACgxxvCsk0d6POHJSoZ0QAGQURERESUV/t6fEkBkKjHG8K+Hl+RS0SUiEEQEREREeVVf3D4nh7vCO8TFRqDICIiIiLKK5tx+LRz6wjvExUagyAiIiIiyquGMgvKrIaU75VZDWgosxS5RESJGAQRERERUV7ZzXrMmzwqKRASZ4fjNNkkNdZAIiIiIsq7xnIrFs5owr4eH7zBMKxGPRq4ThDJBGshERERERWE3azHxFqH1MUgSsLhcEREREREVFIYBBERERERUUlhEERERERERCWFQRAREREREZUUBkFERERERFRSGAQREREREVFJYRBEREREREQlhUEQERERERGVFAZBRERERERUUhgEERERERFRSWEQREREREREJYVBEBERERERlRQGQUREREREVFIkDYIikQjuvvtutLS0wGKxYNy4cXjggQcgCIKUxSIiIiIiIhXTS/nlP/3pT/H444/jqaeewpQpU7BmzRpcd911cLlcuOWWW6QsGhERERERqZSkQdCHH36ICy+8EAsWLAAAjBkzBs8++yxWrVolZbGIiIiIiEjFJB0ON2fOHCxfvhxbt24FAHz22Wf44IMPMH/+/JTbBwIBuN3uhP+IiIiIiIgyIWlP0J133gm3241JkyZBp9MhEongwQcfxJVXXply+8WLF+O+++4rcimJiIiIiEhNJO0JeuGFF/D000/jmWeewbp16/DUU0/h0UcfxVNPPZVy+7vuugu9vb2x//bs2VPkEhMRERERkdJpBAmnYmtqasKdd96JRYsWxV77yU9+gr/+9a/48ssvR/x7t9sNl8uF3t5eOJ3OQhaViIiIiIhkLJPYQNLhcF6vF1ptYmeUTqdDNBqVqERERESF1ecPY1+PD/3BMOxGPerLLLCbJf05JiIqOZLedS+44AI8+OCDaG5uxpQpU/Dpp5/iF7/4Ba6//nopi0VERFQQe7u9WLapAz3eUOy1MqsB8yaPQmO5VcKSERGVFkmHw3k8Htx999146aWX0NnZifr6elxxxRW45557YDQaR/x7DocjIiKl6POHsXTtnoQASFRmNWDhjCb2CBER5SCT2EDSIChXDIKIiEgptrR78NqGA0O+f97UOkysdRSxRERE6pJJbCDp7HBERESloj8YHvZ97wjvExFR/jAIIiIiKgKbcfihbtYR3iciovxhEERERFQEDWUWlFkNKd8rsxrQUGYpcomIiEoXgyAiIqIisJv1mDd5VFIgJM4Ox0kRiIiKh3dcIiKiImkst2LhjCbs6/HBGwzDatSjgesEEREVHe+6RERERWQ36zkLHBGRxDgcjoiIiIiISgqDICIiIiIiKikMgoiIiIiIqKQwCCIiIiIiopLCIIiIiIiIiEoKgyAiIiIiIiopDIKIiIiIiKikMAgiIiIiIqKSwiCIiIiIiIhKCoMgIiIiIiIqKQyCiIiIiIiopDAIIiIiIiKiksIgiIiIiIiISgqDICIiIiIiKikMgoiIiIiIqKQwCCIiIiIiopLCIIiIiIiIiEoKgyAiIiIiIiopDIKIiIiIiKikMAgiIiIiIqKSope6AERERNnq84exr8eH/mAYdqMe9WUW2M38aSMiouHxl4KIiBRpb7cXyzZ1oMcbir1WZjVg3uRRaCy3SlgyIiKSOw6HIyIixenzh5MCIADo8YawbFMH+vxhiUpGRERKwCCIiIgUZ1+PLykAEvV4Q9jX4ytyiYiISEkYBBERkeL0B4fv6fGO8D4REZU2BkFERKQ4NuPwKa3WEd4nIqLSxiCIiIgUp6HMgjKrIeV7ZVYDGsosRS4REREpCYMgIiJSHLtZj3mTRyUFQuLscJwmm4iIhsNfCSIiUqTGcisWzmjCvh4fvMEwrEY9GrhOEBERpYG/FEREpFh2sx4Tax1SF4OIiBSGw+GIiIiIiKikMAgiIiIiIqKSwiCIiIiIiIhKCoMgIiIiIiIqKQyCiIiIiIiopDAIIiIiIiKiksIpsomIiIioIPr8Yezr8aE/GIbdqEc91/IimWAtJCIiIqK829vtxbJNHejxhmKvlVkNmDd5FBrLrRKWjIjD4YiIiIgoz/r84aQACAB6vCEs29SBPn9YopIRDWAQRERERER5ta/HlxQAiXq8Iezr8RW5RESJJA2CxowZA41Gk/TfokWLpCwWEREREeWgPzh8T493hPeJCk3SnKDVq1cjEonE/r1x40bMmzcPCxculLBURERERJQLm3H4R0zrCO8TFZqkNbC6ujrh3w8//DDGjRuHU089VaISEREREVGuGsosKLMaUg6JK7Ma0FBmkaBUREfJJicoGAzir3/9K66//npoNJqU2wQCAbjd7oT/iIiIiEhe7GY95k0ehTKrIeF1cXY4TpNNUpNNDXz55ZfR09ODa6+9dshtFi9ejPvuu694hSIiIiKirDSWW7FwRhP29fjgDYZhNerRwHWCSCY0giAIUhcCAM455xwYjUb885//HHKbQCCAQCAQ+7fb7UZTUxN6e3vhdDqLUUwiIiIiIpIht9sNl8uVVmwgi1B89+7dePvtt/Hiiy8Ou53JZILJZCpSqYiIiIiISI1kkRO0ZMkS1NTUYMGCBVIXhYiIiIiIVE7ynqBoNIolS5bgmmuugV4veXGIiEhB+vxh7OvxoT8Yht2oRz3zDYiIKA2S/1K8/fbbaGtrw/XXXy91UYiISEH2dnuxbFNHwhS84sxTjeVWCUtGRERyJ/lwuLPPPhuCIOCYY46RuihERKQQff5wUgAEAD3eEJZt6kCfn6vRExHR0CQPgoiIiDK1r8eXchFGYCAQ2tfjK3KJiIhISRgEERGR4vQHh+/p8Y7wPhERlTYGQUREpDg24/AprdYR3iciotLGIIiIiBSnocyCMqsh5XtlVgMayixFLhERESkJgyAiIlIcu1mPeZNHJQVC4uxwnCabiIiGw18JIiJSpMZyKxbOaMK+Hh+8wTCsRj0auE4QERGlgb8URESkWHazHhNrHVIXg4iIFIbD4YiIiIiIqKQwCCIiIiIiopLC4XBElBd9/jD29fjQHwzDbtSjnrkZBNYLIiKSJ/4SEVHO9nZ7sWxTB3q8odhr4ixdjeVWCUtGUipGvWCQRURE2eAvBRHlpM8fTnrQBYAebwjLNnVg4YwmPpSWoGLUCwbfRESULeYEEVFO9vX4kh50RT3eEPb1+IpcIpKDQteLkYKsPn84p88nIiJ1YxBERDnpDw7/sOkd4X1Sp0LXCwbfRESUCwZBRJQTm3H4IU3WEd4ndSp0vWDwTUREuWAQREQ5aSizoMxqSPlemdWAhjJLkUtEclDoesHgm4iIcsEgiIhyYjfrMW/yqKQHXjFBnZMilKZC1wsG30RElAuNIAiC1IXIltvthsvlQm9vL5xOp9TFIZK9Qk4nLH62NxiG1ahHA6cqJhS2Xqh5djhO/U1ElLlMYgMGQUQlQs0PjFS61Bh881olIspOJrGBsn8piCgt+Vqzha3TJDd2sx4Tax1SFyNvSnXdLd5biKjYeIchKgHpTCc80oMkW6eJCi8f16rS8N5CRFLgxAhEJSDX6YS5MGVh9PnD2NLuwbq2bmxt9/A4UslN/c17CxFJhT1BRCUg1+mES7F1utDY+k2ppHOtqmnoGO8tRCQVZd41iSgj4nTCqR420plOuNRapwutVPM+aGTDXasVNgMMWg2Wrt2jmuCZ9xYikgqHwxGVgFzXbOHClPmVTus3labhrtVTJ1bjvW0HVTV0jPcWIpIK7y5EJaKx3IqFM5qymk44154kSsTWbxrOUNeqGoeO8d5CRFJhEERUQrKdTlhsnR4qh4VDtzLD1m8aSaprVY3BM+8tRCQV3l2IKC259CRRIrZ+UzbUGjzz3kJEUuAdhojSpraFKaXC1m/KhpqDZ95biKjY+EtLRCQBtn6rR7GmrGbwTGqmpqnfSRlYu4iIJMLWb+Ur9npPDJ5JjbhuGkmBU2QTEZFi9fnD2NLuwbq2bmxt9xR1muiR1nsqVFnE4Hl6czkm1joYAJGiSXUdEfHOSUREiiR167Eap6wmKjZeRyQV9gQREdGQpOxpGY4cWo/VOGU1UbHxOiKpsCeIiIhSkrqnZThyaD1W65TVRMXE64ikwp4gIiJKIoeeluHIofVYnLI6FaVPWU1ULLyOSCoMgoiIKEk6PS1SkkPrsThl9eAHOE5ZTZQ+XkckFdYsIiJKIoeeluHIZeFQTllNlDteRyQF1i4iIkoih56W4chp4VCu90SUO15HVGwMgoiIKIlcelqGI6fWY652T0SkLLxDE+UBH4BIbeTU0zIcObQey3kWPSIiSk0ev2JECsYHIFIrOfW0yNVIs+gtnNE04vFiIwpli3VHfnhOlINnhSgH+XgAIpIzOfS0yFmu6xWxEYWyxbojPzwnysIpsolyIPdphImosHKZRU/uazGRfLHuyA/PifIwCCLKgdynESaiwsplFj02olC2WHfkh+dEeThOhygHcp9GmIgKK5dZ9PLViMIcBOkV+xywAU5+eE6UR/K75L59+/Af//EfeP311+H1ejF+/HgsWbIEM2fOlLpoRCNSwjTCRFQ4ucyil49GFOYgSE+Kc8AGOPnhOVEeSc9Id3c35s6di9NPPx2vv/46qqursW3bNpSXl0tZLKK0KWUaYSIqnGxn0cu1EYUTs0hPqnPABjj54TlRHknvjj/96U/R1NSEJUuWxF5raWmRsEREmeM0wkSUzSx6uTai5DozHeVOqnPABjj54TlRHknPyD/+8Q+cc845WLhwId577z00NDTgxhtvxLe//e2U2wcCAQQCgdi/3W53sYpKNCw5TiPMPAGi4kn3eku1XbaNKPnOQcjHPaPU7jtS5oGwAU5+eE6URdKzsmPHDjz++OO4/fbb8Z//+Z9YvXo1brnlFhiNRlxzzTVJ2y9evBj33XefBCUlUhbmCRAVT7rX23DbZdOIks8chHzcM0rxviN1HogcG+BKHc+Jckg6RXY0GsUJJ5yAhx56CNOnT8d3vvMdfPvb38bvf//7lNvfdddd6O3tjf23Z8+eIpeYSP64VgFR8aR7vRXiuhRzEFLJJAchH2Ur1ftOvs4BERWfpEFQXV0dJk+enPDasccei7a2tpTbm0wmOJ3OhP+IKBHXKiAqnnSvt0Jcl2IOwuCH8ExzEPJRtlK97+TrHBBR8Ul6dc6dOxdbtmxJeG3r1q0YPXq0RCUiUj6uVUD5VGo5HplK93or1HWZjxyEbMo2uF74QxFoNUBUSP8z1IJ5IETKJOkV+v3vfx9z5szBQw89hMsuuwyrVq3CH//4R/zxj3+UslhEiib1GPVSovYAoRRzPDKV7vVWyOsy1xyETMuWql4IgoCGMgva3f6UgZDa7zvMAyFSHkmHw82aNQsvvfQSnn32WRx33HF44IEH8Ktf/QpXXnmllMUiUjSOUS+Ovd1eLF27B69tOID3thzEqxsOYOnaPdjb7ZW6aHlRqjkemUr3epPzdZlJ2YaqF6GIgDW7u1FpM474GUREciBpEAQA559/PjZs2AC/34/NmzcPOT02EaWHY9QLrxQChFLN8chUutebnK/LTMo2VL0w6rWwm/UwGRIfK+Swf0REqfCuRKRCHKNeWPt6fHD7Qqi2GyEACISiMBl10AgCDvcHi7pIZaGG5DG3LH3pXm9yvS77/GH0ByKYXOdEVBBgNephNuhSlm24euE0GzC6woZpjeWy2j8iolR4ZyJSKY5RLxxvMIxapxkrWw+hw3N0AedRDhPmjq+Cr0gBQiFzdphblpl0rze5XZfD1aFUwctI9cJlNcpq/4iIhiL5cDgiIqWxGHRJARAAdHgCWNl6CGaDruBlKPSQPDnnsFB+ZFOHWC+ISC0YBBERZSgUEdDrT50v0+sPIRQZYp7gPCp0zo6cc1goP7KpQ6wXRKQWvFsRESGz3JpQNIqx1XbsONgHfygae91s0GJstR3haDTl3+XynYMVI2dHrjksUlPL1OjZ1iHWCyJSA96xiKjkZZpbYzPq4TQbMLnOBY8/hFAkCoNOC4fZAKNem1a+TK75PMXK2ZFbDovU1LR2Ui51iPWCiJSOw+GIqKTlkhdh1GtRaTeh1mVBpd0Eo16bVl5EPvJ5mJtRfGqbGp11iIhKGYMgIippUuRF5COfh7kZxae2tZNYh4iolPEOR0QlTYq8iHzl8zA3o7jUuHYS6xARlSre5YiopEmRF5HPfB7mZhSPWtdOYh0iolLE4XBEVNKkyItgLoYy8bwREakHgyAiKmlS5EUwF0OZeN6IiNRDIwhC1qv6BYNB7Ny5E+PGjYNeX/ybv9vthsvlQm9vL5xOZ9G/n4jUQ1z7JT4vAkBB14NJ9Z1Dfb5a1qZRg4OeAFo7PXD7QnBaDBhf40C1wyR1sYiISl4msUFWv6Berxc333wznnrqKQDA1q1bMXbsWNx8881oaGjAnXfemc3HEhFJZnBeRDHWg0k3F0NNa9MoXapz8WW7h+eCiEhhshoOd9ddd+Gzzz7DihUrYDabY6+fddZZeP755/NWOCKi4fT5w9jS7sG6tm5sbffkbZ0WOa0HI6eylDqeCyIi9ciqJ+jll1/G888/j69+9avQaDSx16dMmYLt27fnrXBEREMpZO9IOuvBFGs2LTmVpdTxXBARqUdWPUEHDx5ETU1N0uv9/f0JQRERUSEUukVeTuvByKkspU6p56JQPaZEREqWVU/QzJkz8eqrr+Lmm28GgFjg87//+7+YPXt2/kpHRJRCoVvk5bQejJzKUuqUeC6YT0ZElFpWd+yHHnoI8+fPx6ZNmxAOh/HYY49h06ZN+PDDD/Hee+/lu4xERAkK3SIvrgeTKtAq9nowcipLqVPauRipx3ThjCbOMJgjztpIpFxZDYc7+eSTsX79eoTDYUydOhVvvfUWampq8NFHH2HGjBn5LiMRUYJCt8jLaT0YOZWl1CntXKTTY0rZ29vtxdK1e/DahgN4b8tBvLrhAJau3YO93V6pi0ZEachpnSCpcZ0gotLU5w9j6do9Q7bI56uFO5N1fApNTmVRkkK01CvlXKxr68Z7Ww4O+f5pE6sxvbm8iCVSj2Ldg4goMwVfJ+i1116DTqfDOeeck/D6m2++iWg0ivnz52fzsUREaRFb5IfKdcjXw0e66/gUg5zKohSFyodRyrlQYg6TUnCmQCLly2o43J133olIJJL0uiAIXCiViIqisdyKhTOacN7UOpw2sRrnTa3DwhlNTPYmAKW5ps/gWeAqbEZU2Awpt5VjDpOSKHWmQCI6KqtmoG3btmHy5MlJr0+aNAmtra05F4qIKB1KaZGn4iu1lvqher1ObKnAml1d6OovXI9pKWIvG5HyZXWVulwu7NixA2PGjEl4vbW1FTabLR/lIiIiyloptdQP1+u1amcXzp9Wj67+oOxzmJREaTMFElGyrIbDXXjhhbjtttuwffv22Gutra3493//d3z961/PW+GIiIiyUUot9SP1enX1BzGx1oHpzeWYWOtgAJQHSpspkIiSZXWV/uxnP8O5556LSZMmobGxEQCwd+9enHLKKXj00UfzWkAiIqJMlVJLfSn1esmJmJeohJkCiShZ1sPhPvzwQyxbtgyfffYZLBYLpk2bhq997Wv5Lh8REVHGijWDoByUUq+X3DAvkUi5uE4QERGpllLW9MkF16zJXSHWkyKi4ivIOkG//vWv8Z3vfAdmsxm//vWvh932lltuSfdjiYiICqYUWupLqderEAq1nhQRyVvaPUEtLS1Ys2YNKisr0dLSMvQHajTYsWNH3go4HPYEERERDSiFXq98Yy8akboUpCdo586dKf8/ERERSa8Uer3yrdTWkyKiozJu3giFQpg0aRJeeeUVHHvssYUoExEVgVzHwMu1XKQMrD+UCbXMrJduvef1QdlQa73JeA8MBgP8fn8hykJERSLXMfByLRcpA+tP/qn14Uekhpn10q33vD4oG2quN1ktlrpo0SL89Kc/RTisjBYSIjpquNXll23qQJ9fmutaruUiZWD9yb+93V4sXbsHr204gPe2HMSrGw5g6do92NvtTdiuzx/GlnYP1rV1Y2u7R1HHWlxPKhUlrCeVbr3n9UHZUHu9yaqJY/Xq1Vi+fDneeustTJ06FTabLeH9F198MS+FI6L8k+sYeLmWi5SB9Se/Rnr4EScMUHorsdJn1ku33vP6oGyovd5kdXWXlZXhG9/4Rr7LQkRFINcx8HItFykD609+pfPw01BmSStQkrvGcisWzmhS5Mx66dZ7Xh+UDbXXm4yu8Gg0ikceeQRbt25FMBjEGWecgXvvvRcWi7y7i4noKLmOgZdruUgZWH/yK52HHzW1Eit1Zr106z2vD8qG2utNRjlBDz74IP7zP/8TdrsdDQ0N+PWvf41FixYVqmxEqifFWHq5joGXa7lIGVh/8iudhx+1txKnQ+p8qHTrPa8Pyoba601GQdCf//xn/O53v8Obb76Jl19+Gf/85z/x9NNPIxqNFqp8RKqVbtJxvolj4Aff2KQeAy/XcpEysP7kVzoPP2pvJR6JVPfweOnWe14flA211xuNIAhCuhubTCa0traiqakp9prZbEZraysaGxsLUsDhZLIqLNFgUk79KodVyuW6urxcy0XKMLj+VNiM6OoPqnaK50IaadIDOdzHpCK3fU/3vsn7K2VDSfUmk9ggoz0Ih8Mwm80JrxkMBoRCqccEE8mV1DMayWEsvVzHwMu1XKQM8fVnb7cXr3y+X7Ezl0ltpAkDlD6zWi7kcA+Pl+59k/dXyoZa601GdyhBEHDttdfCZDLFXvP7/fje976XME02p8gmOUt36tdC4lh6KjXF7nmVw3WuBiM9/Ch5ZrVc8B5OpHwZ3aWuueaapNeuuuqqvBWGqBjk0IJX6mPpqbRI0fMqh+u8VKi1lXg4vIcTKV9GV+mSJUsKVQ6iopFDC56YdDzUePLBM65Imb9EQ+N5GZlUPTJyuM7TxXqUu2Ifw0zv4UQkP7zLUsmRQwteJmPppc5fotR4XtIjVY+MHK7zdLAe5U6KY1jK+VBEapHRFNn5du+990Kj0ST8N2nSJCmLRCVALvPei2Ppz5tah9MmVuO8qXVYOKMp4Ud7pFb0Yq9JQQN4XtInVY+MXK7z4bAe5U7KY5jOPZyI5EvypoopU6bg7bffjv1br5e8SKRycmrBG2ksPfMa5InnJX1S9cjI6TofCutR7qQ+hqWYD0WkFpL/Cuj1etTW1kpdDCoxSpnRSEl5DaWE5yV9UuZOyP06Zz3K3UjH0BcMM+eKiFKS/C6wbds21NfXw2w2Y/bs2Vi8eDGam5tTbhsIBBAIBGL/drvdxSomqZASWvCUktdQanhe0id1j4ycr3PWo9wNdwy1moH/HbyoKXOuiAiQOAg66aST8OSTT2LixIk4cOAA7rvvPpxyyinYuHEjHI7kH63Fixfjvvvuk6CkRNLgDETyxPOSmXz2yKipVZ/1KHfDHcPmCitW7exCfzCS8DrXiiIiANAIgiBIXQhRT08PRo8ejV/84he44YYbkt5P1RPU1NSE3t5eOJ3OYhaVqGjUPHuUkh9o1Xxe5EqNx1yN+1RsQx3DqQ1O/N+2w0P+3XlT62TbS0hE2XG73XC5XGnFBrJ62igrK8MxxxyD1tbWlO+bTCaYTKYil4rUJP6h26jVQq/TwBeKwCbjB3C55zUMRTzW/lAE3mAYWo0G5VZj7DgX8+Ev3WArk+36AxFMrnMiKgiwGvUwG3SKOC+DSR2IZnLMpVhvKJMyZiPd61vq8yRnQx3DrZ2eYf+OOVdEpU1Wd9C+vj5s374d3/zmN6UuCqlQ/EO32x/CjoN9cJkNmDu+Cu1uP5wW+ba+yjmvIZW93V4s39wBs16Hla2H0OEJwGzQYmy1Hc0VVpw6oRr/13qwKA+06QZb+dhOaQ+lUvdCZPL9Us0CVoxjNNL1LfV5UoJUx5A5V0Q0HEnXCbrjjjvw3nvvYdeuXfjwww9x8cUXQ6fT4YorrpCyWKRC8a3IwXAUOw72wR+KosMTwMrWQ6i0Gbk2R56Ix1qn0cQCIADwhwaOe6c7gJfX74NOo0n59+ID7VCfvaXdg3Vt3dja7hnxXKW7hki+t1MCqfcl0++XYiY1qY+RXMqgVEpYK4qIpCNpELR3715cccUVmDhxIi677DJUVlbi448/RnV1tZTFIhWKb0X2+EPwh6Kx9zo8AYiJccM9gFN6xGMtALEASOQPReHxh9Du9mO4ZMRUD7R7u71YunYPXttwAO9tOYhXNxzA0rV7sLfbO2JZUok/1/neTgmk3pdMv1+KVn2pj5FcyqBU4syEgwMhpfbcElF+SXoHeO6556T8eioh8a3IwUg06f1A+OhrHCeeG/FYB0KJx1mn1WBclQ0N5RaEIgJMeh2q7UYc7g8iOigiGvxAm20+SLq9B9lup9UAlTYjBAzsb4fbp5i8IKnXqMn0+9OZSS3feTNSH6NcysAcogFKzakkosLjXYBKQnwrslGX3AFq0mshptBynHhuxGNtMhw9zjqtBtObyrBqZxfW7+2BSa9DudUAi0EXy8kSA6FUw1SyzQdJt/cgm+20GqDWaU4Y8rfrcD+2H+xXRK6G1PkSmX7/SOsN9fiCec+bkfoYZVsG5hAlUlpOJREVh6TD4YiKJX5suMNsgDnuAX2UwwQxO4XjxHMnHmsNBo4tAIyrsmHVzi50evww6XWwmXSoL7eg1x+K5WQBQw9TybY1PN2cgGy2q7QZEwIgs0ELh9mgmFwNqfMlsvl+sVX/vKl1OG1iNc6bWoeFM5pQZjEWJG9G6mOUTRmyySHKNNeOiEgNGARRSYgfG27UD8xSZjZoMcphwtzxVTjcH+Q48TwRj3VEEDB3fBVGOUywmfXo9PhRbjPCZtJhbLUdZRYjJte54LQY0FxpjT3QpmqpzrZFPt2cgGy2i895Eme+M+oHbqlKyNWQOl8i2+8XW/WnN5djYq0DdrO+YHkzUh+jbMqQ6bHIJteOiEgNZLVYaqYyWRCJCDg6Tt4bDEOv1cKg08AfisDCceJ5F79O0N5uL979shNmgw4OsyEWLIhOm1iN6c3lw37W0rV7hswHGWlK7fjzPlxOQCbbfbLzMN76oh0GnTarfZKLdPdZzt+/rq0b7205OOT7uZ6LPn8Ye7u96PT4EYoIGOUwY0yVTZbHKZNjket1RSQ15r4VjlKPrWIXSyUqNI4NL574Y2026LC1o2/IbUfKrRgpH2SkG3O65z2T7RrLrah1DT0cSim5ZVJfE/n4/kLn7vT4gvhox+G4utdb9BybdI9TJsdCqrWXiPKBuW+FUyrHlsPhiKjg8pFbMVQ+iFQ3ZDnki9CAQp4Lpa3Tk8mxkMPsd0TZUNp1qSSldGwZBBFRweUrtyJVPohU5JAvQgMKeS6Utk5PJsdCDrPfEWVDadelkpTSseUdjkgFlDB2N9v1OuS8b2pYg0TOxzcd8eWfNboC+jzn+SmxtyTdepnO2ktEcqTE61IpSunYKueXjohSUtLY3UzzP5Swb1Ln1ORCCcd3OMUov1J7S9Kpl7nm2hFJRanXpRKU0rHlcDgiBctk7K7S1gIppXHJUlD68S1W+dWe+yW3XDuidKj9upRSKR1bBkFECpbu2F0lrgVSSuOSpaD041us8pdC7peccu2I0lEK16VUSunYqmdPiKD8/IZMpTN2d6QW82KuBZLJ+SmVcclS1dlCH99C71cx64cacr+I1IbXZeGUyrFV195QSVN6fkM20hm7K5e1QDI9P6UwLlnKOlvI46vGXB0l534RqRWvy8IphWPL4XCkCkrPb8hWOmN3020xzzRnKJPtszk/ah+XLHWdLdTxZa4OEREpAYMgUgWl5zdkK52xu+m0mGeaM5Tp9tmcH7WPS5a6zhbq+DJXh4iIlIC/ElQUasoPKLaRjl1juRXnT6tHa6cHbl8ITosB42scqHaYABxtMXf7Qqi0GSEACISiMBl1sBt1qLAZ8crn+9POGcomxyjb86PmccnFrLNiHfIGw7AadAhGBISiUdiNepw/rR5d/cG8HV/m6hARkRLwl4IKTo35AcWSzrFLtc2X7Z7YNmKL+drd3Vi+qQMdngAAwGzQYuaYcuzr9sLtSz9nKJsco1zOj1rHJRerzor1w+0LodZpxsrWQ+j1hzC22g6n2RCrT/k6xszVISIiJeBwOCoo5gekb3COzUFPAGt3d6HSZkS9y4wahwmjKyww6jRYvnng2KV7fMssRnT0+uG0GDCm0ooJNXZMrnMhHAHe2tSBSptxyHINbrnPpqVfDecn34pxTOLrR6XNiJWth9DhCcAfimLHwT4Ew1Fei0REMqW09f2URpnN46QYxZqZTOkrn6fqzYlEo2iptOH5NW2xPAqbUY8Zo8txfHNZ7LV0ju/AcLoIKu2mpO3cvhDqXOYhyza45T6bln6ln59CKMYxib/+BCDWCwgA/lAUHn8IlXYTr0UiIpkpxRlvi42/RlRQassPKERuU6renGA4ij5/CGv7uzCt0YWWKhsMOg0O9wXx2Z4eRAUBk2qdiAjCsJ8tHt/hzoPDnLrVHkjdct9QZkGFzQCdRhPLL7KYdHCa9AiEI+jxBrG13ZMyd0mK/A05rx1V6GMSf94DoWjS+6HI0dfkeC3K9dzJtVykHqxjpU1O6/upGY8gFZSa8gMK1SqTqrfMGwjjmFo7nly5C95QJNYF3lhhxYzR5Wh3++ENhlFhS+7ZiSce3+HOg1GvxbF1DmzY506r5d5u1mPmmAo8uXIX2rq80Gk1mN5UhncOeDDKZcKebn/C38cfm2LnbyihJa2QxyT+vJsMyaOfDbqjr8ntWpTruZNruUg9WMdILuv7qR1zgqig1JIfUMjcplS9NJUOI1a2Hsbebh/iO3v2dnmxtq0boyut0Gk0aR/fhjILxlRaUWU3wmHSo8phQrXdCK1mYLtJtS4snNGE86bW4bSJ1Thvah0WzmhK+YPb5w9j1c4uVNlNmFBjx+yxFdja4UGvf+DGHAxH83ZsciH1OjxyEF8/NABGOY4GzWaDNtYLKLdrUa7nTq7lIvVgHSNA3TPeygmDICootazlUci1T1L10pj1OhzsC0Cv00Kr0SS8t7/bhyqbES6rMe3j2+MLYm+PF29v7sCyzR145bP9WLWzC2OqbLHtxJb76c3lmFjrGPLciMfCqNei0m5CmdUItz8MnVYTyzPJ17HJhdTr8MhBfP043B/E3PFVGOUwwWzQYmy1HUa9VpbXolzPnVzLRerBOkaAeme8lRseRSq4YueCFGIsdSFbZcTW+vgfPgFAJCqgyj4wa5vFqIMgABoNYNLrYDXpYy33Ix1fsWUxHAEm17ng8YcQikRh0GnR0etHmWXomeFS8YciqLIbY2sNWQ1a6LQaRKIDXVbxeSaAdC1WUrek9fnD2HmoHwc9fliNOgiCAK1Wi3Krsajj++Prhy8YxleayhCKCAhHo7JdV0fqczcUuZaL1IN1jIDUzwUiufXcK5m8fvlItYqVC1KosdSFbJVJNZuW1aiD1ahDY3kZtnV4ED4SYOi1GtSXWTCl3pnw4Drc8Y1vWRR7b0T9wUhGY4v3dnuxfHMHPtnZFXttTKUV05vK8OmeHkSiQkKeycC+SHObkbIlbW+3Fy99uheftvXg2FonVu3sQn8gjFMnVqPSboLpSB7WpFpXUQIQpa2lI9dWULmWi9SDdYwAzrJZLDyKpBqFnE2l0K0yg3tzLAYdfMEIur0huCwG9AfCiAoCbEY9WqpsmFTrSvuzs21ZHNyjVm4zYvnmDoQiAswGLfxHZhvr9ATQ7vZjXJUNbd3ehNnmpGyxkqolrc8fxmufH8CaXd1oLrdi1c4udHr8OGVCNVa2HkZ/IIxymxFvb9Zh7rgqnDetjsnOg8i1FVSu5SL1YB0jkVQzqpYSHklSjULOplKMVpnBrfV2sx7LNnXAqNei6kjvTTbfl03LYqoeNUEQ0FBmieWT7DjYB38oCl8wArtpYNihXq+FUa/Nuqz5JFVL2r4eH9q6vPCHorCZ9djf68O0BhfWtnVjb5cXlXYTAuEIdFoN2rq8nO40Bbm2gsq1XKQerGMUT2m9+ErDq4lUo9BjqYvdKlNmMWLm6Ap0evww6DSocZjRWG7N+PsybVkcqket3e3HrkP9OLGlAlEhOb/oK01lqLSb4AuGYTboEIoI6PQE4A1EJFvjQoqWtP5gGMEjeVGhyMAwxgq7ER+0HgIARAUB0bj8KU53mppcW0HTKRfXeKFcyLXuE6kNryhSjWKMpZY+t0mf8Q9hpi2LQ/WoGXVa7PZ4Ic7YLeYXaTVApc0IjWYgAIhGo9h8oB9tXV4cedaXdI2LYrek2Yx6GI/kRRl0AzP7hSNH5znXajTQajVH3h/YjsnOqcm1FXS4cnGNF8oHudZ9IjVhEESqoZax1IXIbcqkZXGoHjWH2QCzQYtA+Ojsb1oNUOs0Y83ubuzrGVgkddOBXrjMBswdX4V2tx9RoXCrXMuxxb2hzILmCiv2dHvR7w+j3mWBXnc06NFpNDDpdQnr9DDZWR24yjsRlRo5/g6nSxmlJEqD0sZSD3XjKFRuU7oti0P1qBn1A7lALoseniML9lXajFizuxt2sx5GvRaH+wLwh6LwhwJY2XoIJ7ZU4GBfMOeypyLXFne7WY/zptUhEIng07YenNhSgR5vEC1VdvQHw3CY9bCZdAnr9CglQKfhcZV3Iiolcv0dTpe8ngqp4JQcsadDKWOph7txjDQ0qtBDp4brUWuusOK0iaPQ1R+ENxiGPxTBvh5/bDKEYNwaQR2eAIRBf5+Psovr76zf0w29TotquxGH+4Mpe5ykqu+N5VZcN2csTjtmYJ0gm1GH86bV4f+2HkJfIAyH2SDbhUppZAc9AbR2etDrC6HMYsC4GgeqHSau8aIwav89JCokNfR8y7t0lFdKj9jTJfex1CPdOGaPrRz27ws9dGqkHrVqhwnVjoHZ6ta1dccCIACxXBhR/NA5IPeyi3V4e2cftnX2AQBGOUxJQ+/29fhgM+kkre92sx5TG10Ajk5n/pXGctkH6DS8L/b34smVu9DW5Y291lxhxbVzx3CNFwUpld9DokJRQ8+3duRNSA1GevDu8yunhbLPH8aWdg/WtXVja7tHUWUHRr5xhCICyqyGlO8Xa+iU2KN23tQ6nDaxGudNrcPCGU1JDweDH/rEvCGRKS5AyrXs8XV4cI/TytZDqLQZY6/5QxFZ1ncxQJ/eXI6JtQ4GQApz0BNICoAAoK3LiydX7oLdpMvLtav0e5zcqen3kEgqauj55i9wiVBDxA6oo/VupBtHOBqVRW5TOj1qg4fOiXlDOw72wWU2QHNku3yUPb4OD+5xGjz0zhsMq6K+k7y0dnqSAiBRW5cXbV3enK9dNdzj5E4tv4dEUlJDz7f8S0g56/OH0e72wWHSw2TUQSMIsRwK0VARu5zGTOc6/lQu+5LqxiFOMy0A6OoPwmbU4/xp9ejqD8IfisAbDEOr0cAbiKDPH5ZND0KqoXNlFgPOn1aPUU4TfMEIxtXYMf5IzkQu4oNHsccpFBEwrsoGm1kPQQCqHCbYjTroNJqEYxoIRRPqvlxbqORSR4tZpsGfX24zoqs/KKtjIOr1pX5wFrl94ZzyEtUwxl4J1NCCTSQ1NczIy7upyqWTQwGkjtjl1iKZS+udnPZl8I1DnGZ6Zesh9PpDmFznwud7e1FmNeDElgqs39ONrn7pyz2U+Ic+35GHh1U7u7C32xfb5st2T85ljg8ejXotxtc4YDfp8GHrYezv9eGYUQ5EBQEzx5RjbJUNtS4zVm47hA5PIPZ3Yt2XYwuVnOposco0+PPd/hD6/GHMHF0euz9JfQziuSyph7qJnJaBepVtXiJ7KIpDDS3YRFJT2oy8qTAnSMXiWxXjczUG51CkitjlOGY629Y7ue2LeOMQcwcqbcZYACROmwwAne6B/AOdRpPw93Ict243D7R267RabNzfiyq7EeOqbXCZ9ahymGDQarB8c25lFoNHUUulFa0dffCHI6hzWVBfZsHkOhfCEWBrZx827O1JCICAgbq/Znc3KuLyh/IllzwOudXRYpRp8OcHw1HsONiHti5vwv1JTvV9fI0DzRWpg7HmCivG1+QWoLCHojgG30viKaUFm0gO0s0fliv5h2mUtYQcirhcDX8oGsuhGCpil2OLZLatd3Lcl/jekw63D1+2e9BQbk2Yac3jD6Gty4tpja6kv5dbq3B8j2N7rx9tXV64LAM9WZ/u6UGVzYi546tyKvPgVicBwKH+ICpsRoyttsNpPvpQ4w9FEAhHYTZo4Q8dnUTBbNDCbtajqz+Y8/C8eLn2mMixjha6TIM/3+MPxc7V4BwvudT3aocJ184dM+TscLnWKfZQFIcaWrCJ5ELuM/IOh1e6ig1uVXSaDZhc54LHH0IoEkV9mQUntVSmvOHLsUUy2/GnctwX4OiNoz8YRqU9+eFJnAFt8DTTIrm0Cse36IejAtq6vOgPhtEfDGPVzi5MqnVga2cfVrYewqQ6Z07fFR887jrUhwk19tiaO/ECoSi0Gk1CfTfotLFtUx27bHNf8pHHIcc6WugyDf78+Bn/gOR6n8k5K2Qe05R6F3547iS0dnrg9oXhtOjzkvMGqGOMvVIoZU05IiocXu0qlqpV0ajXxh64G8utQ97w5dgimW3rnRz3Jd5Q5RNnQDPptfCkeF/qcoviW/RDkWjCw+3+Xh9mjCkHMNC6n4+H+fhWp00HUh0ZwGTQwqDTJtT3eIOPXS49OfnoMZFjHS10mQZ//uAZ/wbX+3TOWYXNgJljKrBqZ1dBc6vi18rKJ/ZQFJeSW7CJKHe8o6pYLq2Kcm2RzKb1Tq77IhqqfA6zAc0VVmhS/E2FzYAKmxFb2j2Sz6LVHwzHZmIz6TUw6LTQa4HDfUFsOuBGKDIwsMls0CblN+ViuPNqN+nRXGFFfzCS9N7gc55rT04+ekzkWEfTLVO2vS6DP1/MW/SHohjlMCXU+3TPmU6jwZMrd6HKbkroHVTS7GrsoSAiKg7eVVUsl1ZFObdIZtp6J+d9AYYuX43ThPO/Uoc1u7oSthdbu1/5fL8sZhKzGfWx2e12Hu5HpycAfzCC+nILTplQDZNeA7NhICfNZc3fhATDnddZLRUAkNY5z7UnJx89JnKso+mUKZcetMGfL+Ytxs8ON/j7REOdMwED6/WYUvQAyiWvKB3soSAiKjyNIAjCyJvJk9vthsvlQm9vL5zO3HIN1Exsqc2mVTGXv5WbwftSIbP1SIY61qnKPTgAEpVZDUVv7T7oCeBnb3yJti4vIlEBBz1+BCMCItEoxtc4cOHx9dh1yIsapymrson73+MNIioIsBr1sBh0SfkfqepoOvV3XVs33ttycMjvP21iNaY3lw9bvqVr9+TlfMjxehuuXuZjv4e6LrM5Zw6THss2d2BMpRW1ruTes5HOJRERKVsmsYEyn2YpI7m0KqqpRTJ+X/Z2e2XTk5KqfMO9vqXdI6uZxLr6g7Cb9bGhTOU2I7r7gzCZjLAadAhFoqhxmrLq0RB7Gtq6vLGZDcW1fj7acQhnHjtwvoba33Tqb649OfnsxZHj9TZUmfI1e1yqzx8p32aoc2Y6sgyAQZd69Qe55NEREZH0+ItAJUfpq7LLbSax/mA4aeZBrUYDrVaDcCSKOtfQsxAORzxPne5ALAACjq5zdWJLRV7OVz7ycUoxj0PKejjUOdNgYLpqhzl5DRg55P8REZF8yGax1IcffhgajQa33Xab1EUhlUunBVsq6Sy4KbeZxMTyiDOx1bosqHGaUXXk/w83C+FwxPMUv36MSFxHZqTzlc7xHLx4rSjTnhyxR2N6czkm1jpUHQAB0tbDoc5ZRBBw7dwxqHEm9iTJJf+PiIjkQxa/CKtXr8Yf/vAHTJs2TeqiUAmQW0+KKN0kcylnEks1E5hYHrcvhEqbEQIG1umxGHWocRgRCkexrq0747wr8TwNXj9GJK4jM9T5yiRpvxR7cnIl9Yx2w52z0RU2WZzLQq5XREREuZH8btzX14crr7wS//M//4Of/OQnUheHSoDcelKAzIboSTWT2HBBxbzJo7B2dzeWb+pAhycAzZH3zAYtZo+tQrvbj6iQWd5VrIdpiPwOcR2ZVOcrmyGPcszHkTM5zGiXbh6dFHKZOY+IiApP8uFwixYtwoIFC3DWWWeNuG0gEIDb7U74jyhTYgt2KlLlDWQ6RE9sBT9vah1Om1iN86bWYeGMpoI9XI0UVJj0OnT0+uG0GDCm0opxNXb0BcI40DuQv1NpMyZsn2pY2mDieRLXj4knriMz1PmS85BHNSl2PVSKka6XdOo/EREVlqQ9Qc899xzWrVuH1atXp7X94sWLcd999xW4VKR2cmjBHiybIXrFbO0eKaho7fSgPxiJrc1yuC8QWyRVzN+J3z6dmcPiz5M/bE+aHc4fjgx5vuQ65FGN5NDrIjf5mjmPiIgKR7IgaM+ePbj11luxbNkymM3mtP7mrrvuwu233x77t9vtRlNTU6GKSCrWWG7F+dPq0drpgdsXgtNiwPgax4hT86Yr01wAKYfopVPWkYIKty/xgW9wHo+YvyNKNwiJz/vo9QYRObJOkNmgGzbPQ45DHpWKeS2ZYxBOIl4/RPIl2ZW4du1adHZ24oQTToi9FolE8P777+O///u/EQgEoNPpEv7GZDLBZMrPQyqVtlTj9b9s9+RlvH42uQBSJZmnW9aRggqnJXF44eA8HjF/R5RJEJJNT4PUSftqwbyW7DAIJ4DXD5HcSZYTdOaZZ2LDhg1Yv3597L+ZM2fiyiuvxPr165MCIKJ8KeR4/Ww/O1/TNGdSzg17e/Hul53Q67Sothuh1Qxd1pHyqMbXOBLej8/jEfN34rcvdBBS7OOpRsxryZ4c8w6puHj9EMmfZE8CDocDxx13XMJrNpsNlZWVSa8T5VMhx+vn8tnFmqZZbJ3c3tmHbZ19ABDLsxFncRtc1pHyqKodpoT3jXotxlbb0ecPY+bocrS7/QnbFyMI4bTXuWFeS/bkmHdIxcXrh0j+eCdWsGzGGnN8cmHH6+f62YVOMo9vnYzP2znUH8SeLi9aqm3o7g/BZNTBH4ok/O1IQUX8+/5QBN5gGFEB0GqASXXOEfN4CoFJ+9ljXktu1ByE83dkZLx+iORPVnetFStWSF0ExchmrDHHJw8o5Hj9oT5bqwEqbUb4Q5GsFg7Nl/jWSTFvR6fVYHpTGT7Z2YUvDrjhDQ4EPwfdflTajQl1Y6Sgwm7Ww2bS4cPth9gCrnDMa8mdGoNw/o6kh9cPkfxJvk4QZS6bscYcn3xUIcfrp/psrQaodZrx2d5evL/1EN7bchCvbjiApWv3YG+3N+vvykZ866SYtzOuyoZVO7uwv9eHcHRgMmuzQYtQRMi4brCeqQfzWmgwXt/p4/VDJH8MghQom4UguXjkUYVMmk/12ZU2I9bs7obdrIdRf/SSk+LBIb51UszbcdkM2N87cP71Wg3MhoHXjXptxnWD9Uw9OLkEDcbrO328fojkj1ehAmUz1rgUxidnMk69kOP1B3+2PxTBvh5/QgAkcvtC2NvthUajyXh8fTbj8gdPHe00G2A16lBhM8Kk16G+zAKn2ZBQ1kzqRinUs1TUmiNRzLwWtR5DOcn1GJfq9Z2tXK6fTM8Vrx+izPEKUaBsxhqrfXxyNuPUCzleP/6z17V1pwyAxGFy//hsPwxx6+qkM74+23H5qWatEoOgsdV2OM3JwzcyqRtqr2epqD1Hohh5LWo/hnKQj2Ncitd3rrK5fjI9V7x+iLLD4XAKlM1YYzWPT5b7OPWhHhwqbUasbD0Et+9oubUawKDV4KPth/DJjsPY2u5JKn+u+yu2Tp43tQ6nTazGrDEVmDuuKmUAlGndUHM9S0XudU8JeAwLL1/HuNSubylkeq54/RBlj0GQAmUz1ljN45PlPk59qAcHAUCvPwTHkeBD7BlatbMLf1u7D//8bH/KCRTysb9i6+T05nJMqnPivGl1eakbaq5nqci97ikBj2Hh5esYl9r1LYVMzxWvH6Ls8Y6lUNmMNVbruhWFHKeej3HWQy2cCCA2AQFwtGeowxMAAISOrOMjtugtnNEEu1kPbzCMGocRZsPAWj4GnQ5mow59viAO9gWz2t981I0+fxh7u73o8PjRWGbBxFEO2E16mCRYH6hY1JgjUezcgnwdQ+ZEDC2f9VStvyNykem5UuM9iKhYeNdSsGzGGqtx3YpCjVPP5zjrVA8OwXAUh/qCsW0EIBYAAUjIE4pfYVwDYOM+N9bu7o79ANa7LDhjUg3qXeas9zeXurG324u1u7uxfFNHbB/MBi1mjinHxdMbVfuApLYcCSlyC/JxDJkTMbx811M1/o7IRabnSm33IKJi4nA4UrxCjFMvxDjr+CFoE2sdaKmyJZQ7EIrG/r/ZoI0NkxN5g2H0+cP4cPthfLG/F+OqbThtYjVOPaYa53+lDnUuMwLhKDrcPhyMC6YKrc8fxuqdXQkBEAD4Q1Gs2dWN1z4/oNpx6WrKkchHne/zh7Gl3YN1bd0p89lSyfUYMidiZGqqp2qX6bniuSXKHoMgUrxCjFMvxjjrweU2GQYux/h1euJZjXrs6/Gho9eP2eOqsLvLi9c+P4C93T787t3t+NXbW7G1w4NfLtuKn73xJb7Y35tzGdOxr8eHvkA4IQAS+UNRtHV5VTsuXU05ErnW+b3dXixduwevbTiQ0YLAuR5D5kSMTE31VO0yPVc8t0TZ49VBCZQ6rj6bcerD7etQ46y1moHcnQ53fo5RfLn9oQgOegIIRYRYACR+n8mgRY83iEA4ghNbyvHFfjeOa3DhtGNqsP2gB25/EF1eYM3ubkyuc6Kty4snV+7CD8+dhGqHKauypas/GE7oxRosFIlmPC5dSfVQLTkSueQWjNQbI+azDSXTYxhfP/r8IVTbjTjcH0RUyKzcpUQt9bQUZHqueG6JssMrhGKUPq4+k3HqI+1rqnHW4uxtK1sP4ct2DyrtpqS/y7XclXZjrFzi963Z3Q27WY+93X609/rQ6Q6gymHE25s74DQboAFw7nF1eOuLduzr8WHOuErs6fahrcuL1k5PwYMgm1Ef68VKxaDTZjQuXYn1UA05ErnkFqTTGzPS8Un3GA6uH4f7AnD7Qpg7vgrtbn9SIMSciKPUUE9LRabniueWKHMcDkcASmtcfTr7mmqctTh7W/y01oP/LleJa/jUYF+PD1V2E5xmA4LhKPb1+LDjUB/WtfVgWoMLUQFo6/bh093dOL6pDFpoEh4C3b7CnTcx/6PHG0SZ1YBZo8uh02oStjEbtGiusKY9Lj3f9TCbHJVSlUtuQbFmqEpVPxxmA3r9IaxsPYRKmzFhe+ZEEBHRUBgEEYDSGlefzr6mGmctruuTKl8nn8dIbNEzG3TQaDSx7/L4QwhFBNhMenS6/RjlNEOMOfZ0+9BQboXRoE0om9NSmFbw+PyPD7cfxrq2HvT6QzhlfFUsEBJnhztvWl3awzLyWQ+zzVEpVbnkFhRrhqpU9cOoH8ih6/WHEN8JxJwIIiIaDn8dCEBprTWQ7r7Gj7P2BcPoC4Rx+sQahCMCTEYdNIKQkIeQ72M0uJzBI+sGWY16lFmNMBv1sBr1qLQZManWjpYqG+ymgX8fU2NHKCJgfE3+h0ekao0Xe6p8oTBuOWM8+oMR1DjMA2XK4CE0n2vGLN/cAYNWgyq7EYFQNHbOlm/uwDdOGD5HpVRlm1sg9iKlCmDz2RszVP1wmg2YXOdCfZkFxzW4mBNBREQj4i8EASittQYy2VexV2ZvtxfvfNmJT3Z2xd4b5TAl5CHk+xgNLqfxyLpBOq0GlXYjnBY9ym1GnDyhCu9tPYi3N3VAq9HgrU0dmFjjwI1njCtIPtBQvTViD1S5zYSvjssu+MpXPdzX44NZr0tYfBY4es7SyVEpVdmuP5ZqQeB898YMVz+Mei0ay608r0RElBb1PNlSTorVkisHme6r2PMRiggwG7TwH5kJrcMTwMrWQzixpQKhqJD3YzS4nA6zIfb9zeVWVFlNOHl8Fdbu7obTbMDYahu8wQiaK62osBnx+d5eTBzlTPsBNN0Z2QrZa5iveugPRZICIODoOZtU58y6jJRaMWaoKqX7FBERFRZzgghAaa01kOm+ij0fYu6BOW4mtA5PACaDtiDHaHA5xe9vrrBi7viqIxM06BGORjG10YU6lwXjqu1oLLfCatRnlEOTSf5MIXsN81UPvcHU6xYBA+dMTcM75WTwgsCFviZEarxPERFRYfEXg2JKaa2BwevzeINhaDUaeAMR9PnDsX3u84fR7vbBYdLDZNSh2m6E1aBDry+EUCQKg06L0RW2vE7dLPbIeINhWA06HN9Uhq7+IAw6DWocZlTaTejqD8IbDKOrP4jj6l2oLzPDbNDBH4rAoNPBbNShzxeEL42H/UzXeGkos6DCZoBOo4EAJOTbRITse8Tie6Jmja6AXqeBPxSBJYt6qNVoEnrt4pkNWug0mqTvLMR6REpa70iO+vxh7DzUj06PHwadBqMcZjSU0H1KrYa6Lni9EFEx8e5CCUpprQG7WQ+bSYcPtx9KmccAAMs2dWB7Zx+2dfYBSM4DAgCX1Zj02dkS10Bx+0KxNYnEGemcZkOsbOI52tLuwaG+ANa39WDt7u7YULV6lwVnTKqBZrgvOyLTNV7sZj1mjqnAkyt3oa3raE9Rc4UV184dk9VDS77XBiqzGjG22o4dB/sSAiGzYaA3zWU1Fnw9IiWudyQne7u9eOnTvVizqzt2Dkc5TDhz8ijMGF1eMvcptRnqujixpQJrdnWhq5/XCxEVB4fDlQCulZJafA+IVgNU242oshsRiQj4tK0bH20/DLcvFMvFAY7mlIjrkeQzDyG+POKaRB2eAPyhKHYc7EMwHE1aL6fCZsSGvYkBEADs7/XhvW0HsbWzb8TznWmOT58/jFU7u1BlN2FCjR1jKq2YUGNHld2EVTu7slrLJ99rVDWUWdBcYcXkOldCGSfXudBcMZAzVch1seS27pbS7gF9/jBe+/xAQgAEDFx/yzd1YHUW9YykN9R10ekO4MmVu2I9tCI1rlNHRPLBniCVY2v00MQeEK0GsV4XMY/EatRBr9XgrGNHod3tT+hV6PAEICD/eQjxPTICkJDT4g9F4fGHUGk3JfTOdPUHEQhHEQhHEj5Lrx0YSuYPRUacCS3THJ/4HKlKe+Lsc6l6jkaSaU9UOuJnK4tfN0k8Z139wbx/Z7xC7FO2lHgP2NfjQ1uXN+Vwxg5PAH2BMGf4U6ChrguPP4S2Li+mNbqS3iv29UJEpYNBkIrJfa0Uqcd/iz0g8b0uonBEQKfbH5v9LSoAk+tc8PhDiEYFtFTZ4LIY0ekJwBuI5KXs8T0ygRQPf6HI0dfE3pn+YBgajQbVDjMC4QiiUQFarQYmvQ46rQaBcHTESQAyzfHpD4ah1QwcN3F7i0kHp0mPXn8Iuw71QQOkfUwKNdvccDlu69q6C/KdIrmsu5Vpvpdc9AfDsXWxUkmnXpP8DHVdiOc6EE59znmuiagQ5PfrR3kj57VS5NA6LfaADO51AQC9TgOtVhPr9QEGZmerdphQ6zRj1c4uaOKGbuSj7PE9MiZD8khVg+7oa2LvjM2oh1GnhU6rSTkrm0mvHXG2tkxzfGxGfULPmU6rwfSmMry1vxcGrRa1LjM2HfCkfUwKPdtcqjpe6HWx5LLulpx6pDIh1uuhpFOvSX6Gui7Ec23Sa+FJ8T7PNREVAnOCVGyktVL8ocgQf1lYcsmXENccSdXrYtRp4bIMTMMb3zpZaTNize5uhCJCwvb5KHuFzYjGcjMcJj1sRh1mjS6HTjsQaJkNWjjMA+WJz0NqKLNgTKUVU+odmN5chuMaXDihuRzH1NhR7zLDbtKPmLOUaY5PxZFjINarcVU2rNrZhdbOPuzv9cFi1GV0TMTzkEqh1n7Jx3cOl2cjxT6lIpceqUyJOV3mFI0BoxymtOo1yc9Q14XDbEBzhTXlRC5c/4mICoVBkIrJda2UdFqni0HMG3FZE1sZzQYt6sstmDDKAbNBC1NcTonJoIXdrE/IMxHlUva93V688vl+bDrgwf+1HsQLa/bicH8Qp4yvgs2kw9hqO4x6bVIekt2sx+zxVejqD+L1DQfwxsYD+Mdn+9DW7cX8qXWY1VIx4nCnwTk+tS4LKu0mGPXalPvU1R+E3ayPPaDazHrs7/VBr9XAqNfCFzwaXKdzTKRY+yXX7xxpXSW5rGcjlx6pTNnNepw3rQ4zx5QnBELi7HDp1GuSn6GuixqnCdfOHYOIkNi4xPWfiKiQeGdRsXTXSim2kVqnfcFw0fKFGsutOG3iKOzp8qHD7YdBp43NBldpM2LiKAeq7UaMrrSixmGG2xfC/h5/Qj6MmD9z+MjaPZmK7xlzmg2YXOeCNxBGlcMIu1mHK2Y1w2TQosZhRmO5NeE4iL04dS4rLOP0R/J1NLCZ9Nh1qB9zxlXFjmX8ekjlVmPsmGbaW9AfDMfK6fGHYDHoUGEzxvKQ4nOXtJqBHskt7Z5hz6UUa1Rl853iujXr93RDr9Oi2m7E4f4gokJyns1Qnw9gxOORL2LLe6pGB7m3sDeWW3HdnLE47Zij6wSlugZIWYa77kZX2Lj+ExEVDe8uKlZmNWJ8jQOCEIVRr0MoIsCo0yIQDkOj0eZ1fZtMDNc6fWT0F5au3VO0fKFqhwmXzWpKmC671mnGmt3dsJv1ONB7dBjaCU1lqHWZsXJb6jyrbFrWB/eMmQ1ajKl0xoYyTqixo9JuOnIM9AkPBfG9ODVOc8Ln+kIRtHZ68NnenoTcMHGtnOYKK+ZNHpVxb4G4vdhzVGEzJmwj5i6Jx3H55o608qekWKMqk+8U89iGWzdqcJ7N4M8vdi5c/Cx5qb5T7g+YdrMeUxtdAJJnDSPlGuq6K6V16ohIehwOp2INZRZMa3Sho3cgB+jj7YfwQetBdPQGMK3RJVkr8HD5Es0VVqza2VX0fCGxdfK8qXU4bWIN9vX4UGU3wWk+Ws4ebwhbO/uwYW9PyjyrNbu7UWHLPLAc3BMzeLY6sWcl1TEYrhen0mbEW5s6oNNoEj5PXHeo0x3Ask0dqLAZM8pfGXz+NADqXWYcU2PHrJZyNFVYUeUwYWyVDZ+29RQkf6rY4nvrIlEBx9TYMb25DNVOMw56AhhbZYsF8EP1BkqVC5dYt6tx3tQ6LJzRJNvpsYmIiIqBQZDKtXX1o+/I0AK72QCrUY++YBhtXf2SlWm4fImmCgv6g6knbCh0vpDYCmk26KDRaFLm/fhDEQTC0aSEbfORXKGu/mDG3zu4J2bwbHXxs8INPgbD9eIIANy+UMrZ78R1h3q8IXT1BzPKXxl8/rq9A3+/v8ePD7YdwjtfduKVz/bjox2HcWy9I2VyezFzv/Ihfk2pCaPs+LLdg39+th9vbDyAZ1e34YPWQ6h1mqHVDJ1nI2UunFi3pzeXY2KtQ/Y9QERERIXGX0IV29fjQzQKnH5MDYKRKHyhCCxGHYxaLXr9hZ0ed6ScnqHGhW/tTDVB6lHFmMxhuN6VUDiK5gorptS74PGHYdRpEBGA/kAYep02q/LF520MPETrML25DKGIAKtRi0qrCb3+EKJHOlTiv2O4nA9gYNalVLPf6bQajHKaUGY1YtehPrRU2XH+tHp0HclrGmk8fvz584ciePfLDswZX4FIFLF65gtEsL6tBzNGl+NgX3JwKNeZyVKJX1Pqo+2H0enxJ7y/v9cPX+shnD6pZsgeVqXO1CalbHMDpV6DjIiI5I+/CirmDYYT1nMRiXkMvgI9dKWb95Bq/LccZrMaqgxaDVDtNOGj9Yfhjhu6FJ8Xkk35xJ6V5Zs7YNbrsGpnFz5oPQS9VoNymxHN5daEvJP47xgu5+PYOgcO9QWT1hwS1/X5fG8v3P4wJtTYE9b1STcwFs/flnYP6lyWpHrmNOtxzCgHhpp/Q64zk6USv6bUof4gym1GdPcHET4Smeq1GvT6Q2iqGPphWw51W0myzZ+SwxpkREQkfxwOp2IWQ/JCqcDRdYLMBl3evzPXvAc5rK8yVBkqbUZ8suMwfIPWVxKPZ3OFNevyNZZbcd7Ueuzr8UGj0aChzIJqhxkmvS72+ZVHcncGf8dQOR+Tal0osxqgwUCgJhpXZcPatm50e0MJ6w8Nd46GWxNnqPWour0hrG3rhtmYXM+KdS6HK3cmBq8pZdLrUO0wo8JmRJ3LgvoyCybXuaDTDn1LlUPdVops7yNyWYOMiIjkj0GQioUiAnr9qYdJ9fpDSQnr+ZBr3oMc1lcZqgwmgxYGvS62flC8kXoB0tHVH4RGo8EopxlTGlywmY4GDx2eAEwG7YjHQABiCw6K+xERBMwdXxULhFw2A/yhSML6Q6JU52ikNXGGWo9Kp9XAH4okTcVerHM5UrkzkWpNKZ1WgwqbEVMbXag6sq7ScL05cqjbSpHtfUQua5AREZH88VdXxULRKMZW27HjYF/CWkHiFMnhaHKuSK7ykfdQZjFi5ugKSdcGEXtX9nZ70enxIxQRoNVoMK4qisP9wdgaOaFINLa20HC9AOmIP3bx6/CI3zG6wpZyOM9Iw3++ccJA7s6kOie8wTB6+oPo6Q/BYTaknPwh/hyN1LK+cEbTsOtRuSwG1DjMOLbOlfXaH4PzO8ptRnT1B4fN90in3JnWp6HWlBKPYTq9OVKsh6RE2d5HmHdFRETp4i+vitmM+pQP0+KDWyFyEHLNexj6gV5f9AfFHl8QH+04HCvL4b4A3L5QLD/HqDclbJ/r8Rx87MR1eESp1nVK92E/Ps9nS7sHX3b0DVmO+P1Ip2W9zGocNtiutJuynoBjcH1w+0Po84cxc3R5LEcqVb5HOuXOpkyD15QSZdKbw7VQRpbtfYR5V0RElC7+IqhY/Mxh8Q/TQOFyEHJZob4QrffZSlUWh9mAPd1erGw9hBNbKhJmPMvH8czm2GXzsJ/J96TTsj6hxoHmCivMel1SsF3jNGV9XAafg2A4Ggu0AqFI7Bykqh+F7BFgb07hZXsfyeX+Q0REpYU5QSomRQ5CLt8pp/H8qcpi1A/0bPT6B9beEeXreGZz7LJ52M/ke9JpWRc/r8ZpQqXdhFqXBZV2E2qcppyOy+Bz4PGHYj1NHZ5AwjnIZP0ksdy54Lo7hZXtfYR5V0RElC7+IuSBnNekkKLVOtvvlMN4fvFc7jzUhyqHCRpBwOH+YGyNHnF4YX2ZBcc1uPJ6PA96AtjT5cUohwmjK62osZnQFwxDo9HAG4igzx9O+p5sH/bTPUfptqyn+ryKI7k769q6s7ouBteHYCQx5ygQTvz34PWTKmwG6DQaCAACoShMRh00goCIILBHQAGyvY+UQk+dnH9ziLLFek3FxtqVIyWsSSFFDkI23yn1eP74c3m4L4BtnX0JawCJgZBRr0VjuTWvx/SL/b14cuUutHV5oQFgN+khCMDXJlahxxsaMvcll+E/6Zyj4dYhGtyyHv95e7u9eOXz/TldF0k5UrrEjmuTXov4pXUHr580c0xF7JiKmiusuHbuGP6wpknqh5Js711qzrtSwm8OUaZYr0kKfBLIgZxyWIqtEA9HxR7PH78PRq0W2zo9cPsGvtthNsBs0MbW6InPAcp3WQ56AgkP6xajDvt7fBhdaUW72496pwXQaqARBCzf3IFvnHC0XmUSpIxkqHOaact6vq6LwfVBPCf+UBSjHCbET7w9+Jz0+cNYtbMLVXYTTHptQp7Sqp1dGF1hU+21mS98KJGfUv7NIfVivSapsFbloFAzUMldoR6O8vlAP5LB+5A885s2NuNZfP5JIcrS2ulJ6K3QaTU4YXQ51rZ144PWQ/hKUxlCESHWKzW4XuVj+M9I5zSTlvV8XReD64N4TuJnh4svZ/z+imUYPMNepmUoVXwokadS/c1RA6l7VeWM9ZqkwiswB3LIYclEPm7ChX44KsZ4/lT7EIxEY70+Xx1bgagAVNmNqHWaodEMDKM6saWyILkFvb7EY9lYbsEnO7uw90hgFD4yDk8s36Q6Z9Jn5DL8J9/nNJ/XxXC5RsPVj/5gGFoNUGkzJuUEHT7yt1JRwsMQH0rkSWm/OTSAvarDY70mqcjrl1dhpM5hyUS+bsLFeDgq9Hj+lDO/Hck3OdQfhMNiwLIvOtDhCcTe7/OHcdkse0EeVl2WxJmsHGZDLAACAL1Wg1DkaCCU7x+EfJ/TfF8XqepDtcM0xNZHy1DrNGNl66GE8yj2pkl1bSrlYYgPJfKkpN8cGsBe1ZGxXpNUOEV2DsSchVTktCbFSDfhPn/6DzRqeDhKtQ9ivsm4KhtWbD2Y8OBsNmgRiggZH6t0jT+yzo4oeCR/BQCcloEZzuLLEv/vXPT5w9jS7onNhFdtN0Kb4qMzPadyuC4qbEas2d2dcB6BgSByze5uVNiSF54ttHxeh4XGhxJ5ksO1RZmR09IPcsV6TVJhEJQDpaxJkc+bsBoejlLtg5hv4rIZ0BW3CKrZMPC6Ua8t2A9WtcOEa+eOiQVCWgz0DlXZTZgwyhGbClosi8ua+wP83m4vlq7dg9c2HMAH2w7hlc/2Y9XOLtQ6zUmBUDY9N1JfF139QdjNepgNibc4s0ELu1mPrv7gEH9ZOEp6GOJDiTzJ4dqizKih4bDQWK9JKpLWrMcffxyPP/44du3aBQCYMmUK7rnnHsyfP1/KYmVECWtS5PMmLMcV2TPNsRhqH5xmAyqsBjSVW1HtMMKk10EAYDXpR8wlyTXPY0q9Cz88dxJaOz0IhqOICALCEQHBcDRhZrMapynrYyyWsccbRFuXFwatBlpNYWbCk/q66A+GY2s6efyhhGNo1Gtj57GY+TmZXodS5g4Vc5ISyozU1xalR7x+u/uDKdecEymh4bAYWK9JCpLWrsbGRjz88MOYMGECBEHAU089hQsvvBCffvoppkyZImXRMiL3NSny2Xsjt4ejbHIshtuH4xqcMBt0GeWS5CvPo9phiuW6jKux5/UYj7QGUiFmwpPyuhDrfKrZ4YCBOl/s/JxMrkM55A7xoUS+5P6bU+rir99gOIpNB3rhMhuS1pxjr2oi1msqNo0gCMLImxVPRUUFHnnkEdxwww0jbut2u+FyudDb2wunM3nGLBrQ5w9j6do9Q/beZJOYKbZySflwlOt+pdoHXyiCn73xZcKU1aLmCit+eO6khKT8Qhzb4cqXzWcNLuOBXh92Hx7Yv1EOU6znJxiOwuMP4ZQJ1RhTZZPlA2+6vSMjnZfzp9UnLeYa/34hkpXTrSuFrFNEVFiprl+3P4QdB/vgMhti91s5TohCpAaZxAay+SWNRCJYunQp+vv7MXv27JTbBAIBBAJHW+fdbnexiqdohei9kUOLTb5mNROA2MKb8bkk/lA0tk18Lkl8EFTI2fLydYwHl1GcCQ9AQs+P2Gsypsom+blNJZPekZHqfFd/sOhTQKd7HXJ6aiLlSnX9xg/Nba60YlaBllsgosxIfgVu2LABs2fPht/vh91ux0svvYTJkyen3Hbx4sW47777ilxCdVDa0JZ0WvxzyXUa6oF6Sr0TZZbkXBKXxYA6lxkd7sQyjZRPlU3Saya9HYO3A5D02uAyiDlAYpAnTrwgHgM5Ds/IZprZ4er8urbuYb+vUMnKjeVWnD+tHq2dHrh9ITgtBoyvcSQE1qWeSK2EdZQKoVT3W22Gun7FRiaH2cBGDCKZkPwOO3HiRKxfvx69vb3429/+hmuuuQbvvfdeykDorrvuwu233x77t9vtRlNTUzGLq2hy6L1JR7ot/tnmOg33QP3BtkOocZhwsC8YyyXRahBbc+bLdk/s9TKrAdObyqDVICnZdaQyDCXdfR+8nVYDjKmyoa2rH+EIEv52cBnFmfB2HOyDPxSFSa+FB/JOes+2d2SoOi/VLIepzu+X7Z6E86uGGRizJYdcKCmU6n6rUSlfv0RKI/kU2UajEePHj8eMGTOwePFifOUrX8Fjjz2WcluTyQSn05nwH6lLJmupZDuN73AP1KGIANOgaZUrbUasbD2EXn8IDvPR7+vxhrBqZ1fCGj/pliGVdPc91XaVNiOWb+rAml3dCMb17AxVRnF4xkktFZjWWIbzptZh4Ywm2T5w5bt3RIopoNM9v6U6PbWS1lHKp1Ldb7Uq1euXSIkkD4IGi0ajCXk/VFoyWUsl27UFhnugNuq1GOU0J3ymAKDXH4qtF5T4WRE0VST/6GXTq5LuvqfaTsBAfo8/NDC5QTplrHGacNmsJnylqQwTax2y7AES5bt1VYp1KdI9v6W6ZoaS1lHKp1Ldb7Uq1euXSIkkvRrvuusuzJ8/H83NzfB4PHjmmWewYsUKvPnmm1IWiySUaYt/NrlOgx+otZqBnhQBQCA0kAN0/rR6dB1ZF6irP4jJda6kAEik02rzkm+V7r4P3k6rAaxGHaY3lyEUEVBjN8Jm0iesSZGvMkqlEOtTFTtPLpO6XcyyySUXJdvePrmUP1ulngOmRkrLwSUqVZJekZ2dnbj66qtx4MABuFwuTJs2DW+++SbmzZsnZbFIQtm0+Gea6xT/QB2f79PhCcBs0OJwfzCWpzGx1oEt7R58vrd32DLlI98q3X2P304s/6qdXfig9RAAoMJmREulLWFNinyVUSqFWp+qmMck07qdbtlyCQLklIuSzbUvp/Jnizkk6qTk+y1RqZD07vrEE09I+fUkE/EPcUatFmMqrWjr8iZNNpCv8dTxD9QGrSYhABKHvMXPOpZtL0SmD6fpfk/8dmK+kicQhs2oRyAcgUmvQ4cngJWth3BiSwVCUUEV49DTmVlNzgrRm5VLEJDNjHuFlOnxkVv5s1WIekFERCOTXU4QlZa93V4sXbsHr204gPe2HMSyzR3Y2+PFmCobtJqj2+V7PLU4XGFcjR0Wow4TauyYXOeCc9DEB/t6fFmN8R68X69uOICla/dgb3fyIqyidL8nfjsxF8gXjGBstQ31ZRbojhy4Dk8AJoNWNePQ93Z78crn+/Hxji5sOuDBxzu68Mrn+4c9pnKS71yBXBPq5ZaLkunxkVv5s8UcEiIiafDuSpIRH+LcvhCq7UdzckxGHYLhKM6ZUgtfKFKw8dR2sx4mgw61rqFbWsXx+JmM8c6lhTrd7xG3+2TnYYyptMKg08Zmrotf32h0hS2vw4Kkyr9QS6t/PnMFcl1UVY65KJkcHzmWP1vMISEiKj7eYUky+3p8cPtCCTk5olEOEybU2DG9ubygZchkPH66Y7xzfThN93vsZj0ay61JQZy4jhEAuKzGET8nXVLmX+R6TOUkX7kCuQYBcs1FSff4yLX82WIOCRFRcXE4HEmmPxiO5bTEB0DAwFCut4qwRkYh1nQoZgt1sdakkHotEzW1+udLrkGA0tczUXr5iYhIWgyCSDI2oz6W05KK21f4cf2FGI9fzBbqYuUTSJ1/obZW/3zINQhQei6K0stPRETS4q8ESWa4hzSzYSDHpRgt/Pkej1/s2Z6KkU+Qam2i+LWVOty+guYwcAatZPmYNlzpuShKL3++KH2tJCIiKfAuSZKxm/U4ts6Btzd3wB+Kxl6Pn6q6WC38+RyPX6g1bUb6zkLmE6Ramyh+GOOuw/3YfrC/YPlBUhxTJchHEKD0XBSllz9XalgriYhIChpBEISRN5Mnt9sNl8uF3t5eOJ1OqYtDWejzh/HMJ7vR1uWNzWjmMBtg1GtRZjUoZtavVMTWWTW0UPf5w1i6dg96vAMz+a3d3Q27SQ+bWQ9BEAam5tZoEBEEfOOEwp0zNR1TolzFX5eDKf3+SUSUjUxiA94dSVJ2sx7nTatTZQu/mlqo43tiNBqgvsyCVTu70Onxo9xmhEmvwyiHCXPHVxV0pjY1HVOiXKlp1kQiomJT7hNmiZPLGPB8lCObIT1S738hv1/qfRuqTP2BCCbXOdEXCGFvtxenTqyCzWSAPxSB1aiDNxDB6l1dmFTHXlmiYuCsiURE2WMQpEByGQOez3Jk0sIv9f4X8vul3rd0ytTp9mNqgxNvfNGBT/f0AEdG1E6sdeCS6Y3w88GLqCg4ayIRUfY4RbbCSL1ei9TlkHr/C/n9Uu9bumU6rt6JF9bsxbq2blgMR28hW9o9eHn9PpgNuqKXk6gUca0kIqLsMQhSGKnXa5G6HJl8b58/jC3tHqxr68bWdk9egohC7rdczm28VGXS6bTY1tmHUDgKnVYTe12r0WB3lxeH+4PFLiZRSeJaSURE2eMdUmHkMgZcqnKk+72FGlZWyP3O9LOLkTuUqkyBUAR6rQYajRY6jQZmgw4aDaDTamHUaRAIRfJahuHIMX+KqJi4VhIRUXZ4l1QYuYwBl6oc6XzvSMPKcpk2tpD7nclnFyt3KFWZ7GY9zEYd/MEI9DotxDn29VoNym1GlNmMefv+4cgxf4pICpw1kYgocxwOpzByGQMuVTnS+d5CDisr5H6n+9nFzB1KVSajTotJtQ44LQY4zHqUWQyosBlR7TBjQo0D42sK/zAmx/wpIiIiUg4GQQojlzHgUpUjne8t5JC1Qu53up9dzNyhVGXadbgfV540GjNGl8Fq1MNuNsBq1KOlyoZr545BtcOUt+8fihzzp4iIiEg5OBxOgeQyBlyqcoz0vVaDDlV2IwKhKExGHTSCgMP9QUSPjNsSh5Vlm09SZjFi5ugKdHr8MOg0qHGY0Vhuzct+p3NMi52PNVSZpjeXo7XTA7cvDKdFj/E1jqIEQIB8cuOIiIhImRgEKZRcxoBLVY6hvndvtxfvbz2IldsPwR+KAgBGOUyYO74K7W4/nJaBYWXZ5pMM/Xf6vAV/Ix1TKfKxUpXJbtYXLegZTC65cURERKRMHA5HqiHmifQHIxhbbYf5yBo2HZ4AVrYeQnOFFfMmjwIALN/cAYNWgyq7EQ6THlUOEwxaDZZvHjqfRC55KHLJC5NSQ5kFFTYDqu3GhHNYbTeiwlYax4CIiIiyx+ZSUo34PBGn2YDJdS54/CGEIlEYdFqMr3GgsdyKLe0emPU6rGw9hA5PIPb3Yo/Rvh5fyp6YdPJQitErJubpDNWTVQpT49rNeswcU4EnV+5CW5c39npzhRXXzh1TEseAiIiIsscnBVKNwXkiRr0Wlfajw7XC0YHhcf5QBB/vOAyXxYD6cgtCEQFGnRZ9/hA+3nEYk+qcaX2+VgNU2ozQaACzQYc9Xf3o8QZRbjXmZb2a4XKW5JIXJpU+fxirdnahym6CSa+NBboOswGrdnZhdIWt6MeCaxYRyRevTyIajHcAUo1080R8wTDqyyxYtbML+3uPziJW77LgxJYK+IZIqo//fK0GqHWa8fGOw7HP8ocjqLAZMbbaHht6l+16NenkLMklL0wKYq/c4EAXKG6vnIhrFhHJF69PIkqFOUGkGunmyhh0Wqxt604IgABgf68Pa9u6YdSlviziP7/SZsTK1kOwm/RYtbMLnR4/THod/KEodhzsQ6c7kHWeUDa5R33+MLa0e7CurRtb2z2qXydHTrPDySVXjIiS8fokoqEwCCLVSHednWAkCn8oAr1Wk7CdXquBPxRBIBId8fMFDEy4YDPr0enxo9xmhO7I5/lDUXj8oazXq8l0DZy93V4sXbsHr204gPe2HMSrGw5g6do92NvtTfkZaiCn2eG4ZhGRfPH6JKKhcDgc5ZXU467TyZXRajRwWQzQa7UIhCOIRgVotRqY9DrYTDroNJoRP/+TnYcxptIKm1GPaocZOq0GOq0G46pssJn1sBh0qLCb4A9FMt6HTHo5RmrlXDijSZXj3sVeuVQPN8WeIU9OvVJElIjXJxENRX1PRyQZuYy7HilXpsw6kLez42BfrPcGAMwGLcZW2+GyGkf8/MZyK2pdAw/iYgA0vakslmdUYTPCatTjoNuPSrsxo/3PpJdDLjPWFZucZsiTU68UESXi9UlEQ+HVT3mhpB6JhjILmiusMOt1CVNoO8wG1DhNafUiiD0RGgxMre2yGGIBkP5Ir5LZoEUoImS8/5n0cvQHw7FZ6gQAgVAUJqMOGkHA4f6gqls55TJDnpx6pYgoEa9PIhoKc4IoL5Q07lrsRahxmlBpN6HWZUGl3YQapyntXgTxMyKCgLnjq1DjNMcCoHKbETaTDmOr7TDqtRnvf7q5TcBAK2et04xVO7vwyucHsGxzB175bD9W7exCrdOs+lZOsddvenM5JtY6JAm0MzlfRFRcvD6JaCi8+ikvlDbuOpdehPi8pxnNFdDrNGjr8uKrYyuhwcCaQQ6zAUb90TaGTPc/3fJV2IxYs7s7YdFXYGDShjW7u3HGsaMy+l7Kjlx6pYgoGa9PIkqFdwDKCyWOu85mnZ2h8p6mN5WhucKKqJD677LZ/3TK19UfhN2sh9mghT90dFY7s0ELu1mPrv4gqh2mYT6B8qWU120ikjten0Q0mPyeTEuM1LOp5UspjLseLu9p1c4uNFdYsetw8rTUhdz//mAYTrMBk+tcSflNRr22ID1wBz0BtHZ60OsLocxiwLgaBwMtIiIiUhTlPW2riFxmU8sHOc3WVSjD5T31ByM4ocKCHl+oqPsv9sAZ9VpU2pMDkXz3wH2xvxdPrtyFtq6jwV5zhRXXzh2DKfWuvH4XERERUaEo/8lUoTKdTU0JPUZqH3c9Ut6TTqst+v4XswfuoCeQFAABQFuXF0+u3IUfnjuJPUIypIR7BxERUbHxl1AimazvoqQeIzWPu04n76nY+1/MHrjWTk9SACRq6/KitdPDIEhmlHTvICIiKiYGQRJJdzY1Ja2/o3ZyzXsqVg9cry910C5y++Q1A2Cp472DiIhoaFwnSCLpzqampPV31E7O600UY70cl8Uw7PtOCx+o5YT3DiIioqHxqUUi6fYqKG39HbVTe97TcMbXONBcYU05JK65worxNeocBqlUvHcQERENjT1BEkm3V0GJ6++oXTF6XeSo2mHCtXPHoLkiMZdEnB2O+UDywnsHERHR0PgrKKF0ehXkmoeiBpw1K3NT6l344bmT0NrpgdsXhtOix3iuEyRLvHcQERENjU98EhtpNrFSWH9HCpw1K3vVDhODHgXgvYOIiGhoGkEQBKkLkS232w2Xy4Xe3l44nU6pi1NQYq+FXPJQlNyL0ucP4/+t2wOdRgMBQCAUhcmog0YQEBEEfOOEws2apeTjRsokt3sHERFRoWQSG/CXUCHktP6O0ntR9vX4YNbrsLL1EDo8gdjroxwmzB1flbBGUz4p/biRMsnp3kFERCQXnBiBMjLS2iN9fvnPOOUPRZICIADo8ASwsvUQ/KFI3r9TDceNiIiISC0YBFFG1LD2iDcYTgqARB2eQEGmDlbDcSMiIiJSCwZBlBE1rD2i1WhgNqSu+maDFjqNJu/fqYbjRkRERKQWDIIoI2pYe6TMasTYantSIGQ2aDG22g6X1Zj371TDcSMiIiJSC0mDoMWLF2PWrFlwOByoqanBRRddhC1btkhZJBqBuPZIKkpZe6ShzILmCism17kwocaOMZVWTKixY3KdC80V1oLsgxqOGxEREZFaSBoEvffee1i0aBE+/vhjLFu2DKFQCGeffTb6+/ulLBYNQ1x7ZPADvZLWHhH3ocZpQqXdhFqXBZV2E2qcpoLtgxqOGxEREZFayGqdoIMHD6Kmpgbvvfcevva1ryW9HwgEEAgcTWh3u91oamoqiXWC5EYNa49IsQ9qOG5EREREcqTYdYJ6e3sBABUVFSnfX7x4Me67775iFomGoIa1R6TYBzUcNyIiIiKlk01PUDQaxde//nX09PTggw8+SLkNe4KIiIiIiCgVRfYELVq0CBs3bhwyAAIAk8kEk8lUxFIREREREZHayCIIuummm/DKK6/g/fffR2Njo9TFyZmY99EfDMNu1KOeeR9UBKx3REREROmR9AlJEATcfPPNeOmll7BixQq0tLRIWZy82NvtxbJNHejxhmKviTOANZZbJSwZqRnrHREREVH6JJ0ie9GiRfjrX/+KZ555Bg6HA+3t7Whvb4fP55OyWFnr84eTHkQBoMcbwrJNHejzhyUqGQ3W5w9jS7sH69q6sbXdo+hzw3pHRERElBlJe4Ief/xxAMBpp52W8PqSJUtw7bXXFr9AOdrX40t6EBX1eEPY1+PjzGAyoLZeE9Y7IiIiosxIPhxOTfqDw7e4e0d4nwpP7DVx+0KothshAAiEotDrtFi9swtlFqPi8mhY74iIiIgyo6ynPZmzGYc/nNYR3qfC29fjg9sXQq3TjJWth9DhOTrl+iiHCS1VNhzfXC5hCTPHekdERESUGUlzgtSmocyCMqsh5XtlVgMayixFLhEN1h8Mo9JmTAqAAKDDE8BbCsyhYb0jIiIiygyDoDyym/WYN3lU0gOpmG+itGFWw1HqxAI2ox4CkBQAidy+gRwaJSmlekdERESUD3w6yrPGcisWzmjCvh4fvMEwrEY9GlS2XotSJhZItW7OcL0iZoMWDrNBcTk0ff4w+gMRTK5zIioIsBr1MBt0Gdc7rjNEREREpYJPOAVgN+tVOxvXSNMxL5zRJIsH5+ECtcl1Dry9uQP+UDT2ntmgxdhqO4x6raJyaIbbz0zOg1ICWyIiIqJ84HA4ykg60zFLbaRArbnSjrnjqjChxo4xlVZMqLFjcp0LTrNBUTk0+VofiOsMERERUalhEEQZUcJ0zCMFal39QZw3rQ7jauyodVlQaTfBqNcqLocmXwGpEgJbIiIionxSxtMeyYYSpmNOJ1CbWOtQfO5WvgJSJQS2RERERPmknCc+kgVxOuZUPQdyGUqWbqCm9NytfAWkSghsiYiIiPKJw+EoI0qYjrlU1s3J136WyvEiIiIiEmkEQRCkLkS23G43XC4Xent74XQ6pS5OSRGnU5brULJSme0sX/tZKseLiIiI1CuT2IBBEKmW3AO1fMnXfpbK8SIiIiJ1yiQ24BMOqZbSc37Sla/9LJXjRURERMScICIiIiIiKikMgoiIiIiIqKQwCCIiIiIiopLCIIiIiIiIiEoKgyAiIiIiIiopDIKIiIiIiKikMAgiIiIiIqKSwiCIiIiIiIhKCoMgIiIiIiIqKQyCiIiIiIiopDAIIiIiIiKiksIgiIiIiIiISgqDICIiIiIiKikMgoiIiIiIqKTopS5ALgRBAAC43W6JS0JERERERFISYwIxRhiOooMgj8cDAGhqapK4JEREREREJAcejwcul2vYbTRCOqGSTEWjUezfvx8OhwMajUbq4hSd2+1GU1MT9uzZA6fTKXVxqASxDpIcsB6SHLAekhyUej0UBAEejwf19fXQaofP+lF0T5BWq0VjY6PUxZCc0+ksyYpO8sE6SHLAekhywHpIclDK9XCkHiARJ0YgIiIiIqKSwiCIiIiIiIhKCoMgBTOZTPjxj38Mk8kkdVGoRLEOkhywHpIcsB6SHLAepk/REyMQERERERFlij1BRERERERUUhgEERERERFRSWEQREREREREJYVBEBERERERlRQGQRJavHgxZs2aBYfDgZqaGlx00UXYsmVLwjZ+vx+LFi1CZWUl7HY7vvGNb6CjoyNhm7a2NixYsABWqxU1NTX4wQ9+gHA4nLDNihUrcMIJJ8BkMmH8+PF48sknC717pFAPP/wwNBoNbrvttthrrIdUDPv27cNVV12FyspKWCwWTJ06FWvWrIm9LwgC7rnnHtTV1cFiseCss87Ctm3bEj6jq6sLV155JZxOJ8rKynDDDTegr68vYZvPP/8cp5xyCsxmM5qamvCzn/2sKPtH8haJRHD33XejpaUFFosF48aNwwMPPID4+aNYBynf3n//fVxwwQWor6+HRqPByy+/nPB+Mevc0qVLMWnSJJjNZkydOhWvvfZa3vdXVgSSzDnnnCMsWbJE2Lhxo7B+/XrhvPPOE5qbm4W+vr7YNt/73veEpqYmYfny5cKaNWuEr371q8KcOXNi74fDYeG4444TzjrrLOHTTz8VXnvtNaGqqkq46667Ytvs2LFDsFqtwu233y5s2rRJ+M1vfiPodDrhjTfeKOr+kvytWrVKGDNmjDBt2jTh1ltvjb3OekiF1tXVJYwePVq49tprhU8++UTYsWOH8Oabbwqtra2xbR5++GHB5XIJL7/8svDZZ58JX//614WWlhbB5/PFtjn33HOFr3zlK8LHH38s/N///Z8wfvx44Yorroi939vbK4waNUq48sorhY0bNwrPPvusYLFYhD/84Q9F3V+SnwcffFCorKwUXnnlFWHnzp3C0qVLBbvdLjz22GOxbVgHKd9ee+014Uc/+pHw4osvCgCEl156KeH9YtW5lStXCjqdTvjZz34mbNq0Sfiv//ovwWAwCBs2bCj4MZAKgyAZ6ezsFAAI7733niAIgtDT0yMYDAZh6dKlsW02b94sABA++ugjQRAGLh6tViu0t7fHtnn88ccFp9MpBAIBQRAE4Yc//KEwZcqUhO+6/PLLhXPOOafQu0QK4vF4hAkTJgjLli0TTj311FgQxHpIxfAf//Efwsknnzzk+9FoVKitrRUeeeSR2Gs9PT2CyWQSnn32WUEQBGHTpk0CAGH16tWxbV5//XVBo9EI+/btEwRBEH73u98J5eXlsXopfvfEiRPzvUukMAsWLBCuv/76hNcuueQS4corrxQEgXWQCm9wEFTMOnfZZZcJCxYsSCjPSSedJHz3u9/N6z7KCYfDyUhvby8AoKKiAgCwdu1ahEIhnHXWWbFtJk2ahObmZnz00UcAgI8++ghTp07FqFGjYtucc845cLvd+OKLL2LbxH+GuI34GUQAsGjRIixYsCCprrAeUjH84x//wMyZM7Fw4ULU1NRg+vTp+J//+Z/Y+zt37kR7e3tCHXK5XDjppJMS6mFZWRlmzpwZ2+ass86CVqvFJ598Etvma1/7GoxGY2ybc845B1u2bEF3d3ehd5NkbM6cOVi+fDm2bt0KAPjss8/wwQcfYP78+QBYB6n4ilnnSvE3mkGQTESjUdx2222YO3cujjvuOABAe3s7jEYjysrKErYdNWoU2tvbY9vEP3iK74vvDbeN2+2Gz+crxO6Qwjz33HNYt24dFi9enPQe6yEVw44dO/D4449jwoQJePPNN/Fv//ZvuOWWW/DUU08BOFqPUtWh+DpWU1OT8L5er0dFRUVGdZVK05133ol/+Zd/waRJk2AwGDB9+nTcdtttuPLKKwGwDlLxFbPODbWNmuukXuoC0IBFixZh48aN+OCDD6QuCpWYPXv24NZbb8WyZctgNpulLg6VqGg0ipkzZ+Khhx4CAEyfPh0bN27E73//e1xzzTUSl45KwQsvvICnn34azzzzDKZMmYL169fjtttuQ319PesgkQqxJ0gGbrrpJrzyyit499130djYGHu9trYWwWAQPT09Cdt3dHSgtrY2ts3gWbrEf4+0jdPphMViyffukMKsXbsWnZ2dOOGEE6DX66HX6/Hee+/h17/+NfR6PUaNGsV6SAVXV1eHyZMnJ7x27LHHoq2tDcDRepSqDsXXsc7OzoT3w+Ewurq6MqqrVJp+8IMfxHqDpk6dim9+85v4/ve/H+shZx2kYitmnRtqGzXXSQZBEhIEATfddBNeeuklvPPOO2hpaUl4f8aMGTAYDFi+fHnstS1btqCtrQ2zZ88GAMyePRsbNmxIuACWLVsGp9MZe6CYPXt2wmeI24ifQaXtzDPPxIYNG7B+/frYfzNnzsSVV14Z+/+sh1Roc+fOTVoiYOvWrRg9ejQAoKWlBbW1tQl1yO1245NPPkmohz09PVi7dm1sm3feeQfRaBQnnXRSbJv3338foVAots2yZcswceJElJeXF2z/SP68Xi+02sTHIp1Oh2g0CoB1kIqvmHWuJH+jpZ6ZoZT927/9m+ByuYQVK1YIBw4ciP3n9Xpj23zve98TmpubhXfeeUdYs2aNMHv2bGH27Nmx98Wpic8++2xh/fr1whtvvCFUV1ennJr4Bz/4gbB582bht7/9LacmpmHFzw4nCKyHVHirVq0S9Hq98OCDDwrbtm0Tnn76acFqtQp//etfY9s8/PDDQllZmfD3v/9d+Pzzz4ULL7ww5VSx06dPFz755BPhgw8+ECZMmJAwVWxPT48watQo4Zvf/KawceNG4bnnnhOsViunJybhmmuuERoaGmJTZL/44otCVVWV8MMf/jC2Desg5ZvH4xE+/fRT4dNPPxUACL/4xS+ETz/9VNi9e7cgCMWrcytXrhT0er3w6KOPCps3bxZ+/OMfc4psKhwAKf9bsmRJbBufzyfceOONQnl5uWC1WoWLL75YOHDgQMLn7Nq1S5g/f75gsViEqqoq4d///d+FUCiUsM27774rHH/88YLRaBTGjh2b8B1Egw0OglgPqRj++c9/Cscdd5xgMpmESZMmCX/84x8T3o9Go8Ldd98tjBo1SjCZTMKZZ54pbNmyJWGbw4cPC1dccYVgt9sFp9MpXHfddYLH40nY5rPPPhNOPvlkwWQyCQ0NDcLDDz9c8H0j+XO73cKtt94qNDc3C2azWRg7dqzwox/9KGFaYdZByrd333035bPgNddcIwhCcevcCy+8IBxzzDGC0WgUpkyZIrz66qsF22850AhC3FLIREREREREKsecICIiIiIiKikMgoiIiIiIqKQwCCIiIiIiopLCIIiIiIiIiEoKgyAiIiIiIiopDIKIiIiIiKikMAgiIiIiIqKSwiCIiIiIiIhKCoMgIiIiIiIqKQyCiIhIdj766CPodDosWLBA6qIQEZEKaQRBEKQuBBERUbxvfetbsNvteOKJJ7BlyxbU19en3E4QBEQiEej1+iKXkIiIlIw9QUREJCt9fX14/vnn8W//9m9YsGABnnzyydh7K1asgEajweuvv44ZM2bAZDLhgw8+QDQaxeLFi9HS0gKLxYKvfOUr+Nvf/hb7u0gkghtuuCH2/sSJE/HYY49JsHdERCQHbDojIiJZeeGFFzBp0iRMnDgRV111FW677Tbcdddd0Gg0sW3uvPNOPProoxg7dizKy8uxePFi/PWvf8Xvf/97TJgwAe+//z6uuuoqVFdX49RTT0U0GkVjYyOWLl2KyspKfPjhh/jOd76Duro6XHbZZRLuLRERSYHD4YiISFbmzp2Lyy67DLfeeivC4TDq6uqwdOlSnHbaaVixYgVOP/10vPzyy7jwwgsBAIFAABUVFXj77bcxe/bs2Od861vfgtfrxTPPPJPye2666Sa0t7cn9BgREVFpYE8QERHJxpYtW7Bq1Sq89NJLAAC9Xo/LL78cTzzxBE477bTYdjNnzoz9/9bWVni9XsybNy/hs4LBIKZPnx77929/+1v86U9/QltbG3w+H4LBII4//viC7g8REckTgyAiIpKNJ554AuFwOGEiBEEQYDKZ8N///d+x12w2W+z/9/X1AQBeffVVNDQ0JHyeyWQCADz33HO444478POf/xyzZ8+Gw+HAI488gk8++aSQu0NERDLFIIiIiGQhHA7jz3/+M37+85/j7LPPTnjvoosuwrPPPotJkyYl/d3kyZNhMpnQ1taGU089NeVnr1y5EnPmzMGNN94Ye2379u353QEiIlIMBkFERCQLr7zyCrq7u3HDDTfA5XIlvPeNb3wDTzzxBB555JGkv3M4HLjjjjvw/e9/H9FoFCeffDJ6e3uxcuVKOJ1OXHPNNZgwYQL+/Oc/480330RLSwv+8pe/YPXq1WhpaSnW7hERkYxwimwiIpKFJ554AmeddVZSAAQMBEFr1qzB559/nvJvH3jgAdx9991YvHgxjj32WJx77rl49dVXY0HOd7/7XVxyySW4/PLLcdJJJ+Hw4cMJvUJERFRaODscERERERGVFPYEERERERFRSWEQREREREREJYVBEBERERERlRQGQUREREREVFIYBBERERERUUlhEERERERERCWFQRAREREREZUUBkFERERERFRSGAQREREREVFJYRBEREREREQlhUEQERERERGVlP8PLi3Rlnhg0y4AAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}