{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "#Perform a practical KNN algorithm."
      ],
      "metadata": {
        "id": "9GOQBpJn1JlD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.metrics import accuracy_score\n",
        "\n",
        "# Load a sample dataset (e.g., the Iris dataset)\n",
        "from sklearn.datasets import load_iris\n",
        "iris = load_iris()\n",
        "X = iris.data\n",
        "y = iris.target\n",
        "\n",
        "# Split the dataset into training and testing sets\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.5, random_state=42)\n",
        "\n",
        "# Create a KNN classifier with n_neighbors=3\n",
        "knn = KNeighborsClassifier(n_neighbors=3)\n",
        "\n",
        "# Train the model using the training data\n",
        "knn.fit(X_train, y_train)\n",
        "\n",
        "# Predict on the test data\n",
        "y_pred = knn.predict(X_test)\n",
        "\n",
        "# Calculate the accuracy of the model\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "\n",
        "# Print the accuracy\n",
        "print(f\"Accuracy: {accuracy:.2f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w6-Mdmn11KjC",
        "outputId": "33811f58-f29e-488d-ebcf-96e05a44039f"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy: 0.97\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "99645e10",
        "outputId": "3cc77273-13a7-4061-96b1-98ea5adaede2"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "from sklearn.decomposition import PCA\n",
        "\n",
        "# Since the iris dataset has more than 2 features, we'll use PCA to reduce\n",
        "# the dimensionality for visualization purposes.\n",
        "pca = PCA(n_components=2)\n",
        "X_test_reduced = pca.fit_transform(X_test)\n",
        "\n",
        "# Create a scatter plot of the test data points, colored by predicted class\n",
        "plt.figure(figsize=(8, 6))\n",
        "scatter = plt.scatter(X_test_reduced[:, 0], X_test_reduced[:, 1], c=y_pred, cmap='viridis')\n",
        "plt.title('KNN Classification Results (Test Data)')\n",
        "plt.xlabel('Principal Component 1')\n",
        "plt.ylabel('Principal Component 2')\n",
        "plt.legend(*scatter.legend_elements(), title=\"Classes\")\n",
        "plt.colorbar(scatter, label='Predicted Class')\n",
        "plt.show()"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ],
            "image/png": 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8sXq90FKlSmHo0KEYOnQokpKS0LJlS0yfPh3Dhw/XObZnlSlTBi4uLrh06VKhr6dNmzZYtWqVRnt8fLzGD3NdZqr8/f2xd+9ePH36VGOW9sqVK+rzxvThhx9i5cqV+Oijj9Szq5UrV0ZSUpJWKwEU9nXL+Xg/Pj5eY/m052ee81LY+xgQEICAgAB89NFHOHbsGJo1a4awsDDMnj073+fUqFEDW7ZsKfTaz6pcuTKEEKhYsSKqVatWaP/C4jLkTGZERARu3rypsaTXi36fXrx4EdeuXcO6deswaNAgdXtBpSW3bt0y27JhRCUFZ2jJIrRt2xY//PADbty4gQ4dOiAxMbHA/s8mqGlpaVpdI6dU4euvv9aq/1tvvQUfHx9MmDAB165dy3U+Li6uwOQhZzbx2dnD48eP59qZ6tGjRxqPFQoF6tatCwBIT0/Ps4+TkxOqVKmiPv8icrbE3bFjR567p+XEr1Qqc82Ebt68Gffu3dNoc3R0BACtdlHL2eRg+fLlGu2LFy+GJEl5rkdsSG5ubnjzzTexa9cu9Y5R/fr1Q0REBHbt2pWrf3x8PLKysgBo93XLqffNqbsFoF62qjD5vY+JiYnqGHIEBARAoVAU+v3QpEkTPHnyROuaYwDo1asXlEolZsyYkevrL4RQvw/axuXo6GiQHfYiIyMxZMgQ2NjYYNKkSer2F/0+zevvrRBCYzm2ZyUkJODmzZsG23iCiPLGGVqyGD179sTKlSsxbNgwdOvWDTt37ixwA4Bp06ahTZs2Wo/fqlUrtGrVCn/88YdW/d3d3bFt2zZ06tQJ9erV09gp7MyZM/jhhx/QpEmTfJ/fpUsXbN26FT179kTnzp1x69YthIWFoVatWho7Mw0fPhyPHz/Gyy+/jHLlyiEyMhLLli1DvXr11LWktWrVQuvWrdGwYUOUKlUKp06dwk8//YQxY8Zo/foLMnfuXOzevRutWrXCyJEjUbNmTURHR2Pz5s04cuQI3Nzc0KVLF8ycORNDhw5F06ZNcfHiRXz33Xe5FpOvXLky3NzcEBYWBmdnZzg6OiIoKAgVK1bMdd2uXbuiTZs2+PDDD3H79m0EBgZi9+7d+PnnnzFu3LgXWtJJW2PHjsWSJUvwySefYOPGjZg0aRK2b9+OLl26YMiQIWjYsCGSk5Nx8eJF/PTTT7h9+zY8PDy0+rq1b98e5cuXxxtvvIFJkyZBqVRi9erVKFOmTKHbtub3Pp4/fx5jxoxB3759Ua1aNWRlZeHbb7+FUqlUl0Pkp3PnzrCyssLevXvVy2YVpnLlypg9ezamTJmC27dvo0ePHnB2dsatW7ewbds2jBw5EhMnTsT+/fu1iqthw4bYu3cvFi1aBF9fX1SsWBFBQUEFxnDmzBls2LABsiwjPj4eJ0+exJYtWyBJEr799lv1LxIAXvj7tEaNGqhcuTImTpyIe/fuwcXFBVu2bMm3VGPv3r0QQqB79+5avZ9EpCfTL6xAVLiCls767LPPBADRpUsXkZmZqbFs1/NatWolABS4bNezDhw4IABotWxXjvv374vx48eLatWqCTs7O+Hg4CAaNmwo5syZo14qKCeWZ5ddkmVZzJ07V/j7+wtbW1tRv3598csvv+Rauuqnn34S7du3F56ensLGxkaUL19evPnmmyI6OlrdZ/bs2aJx48bCzc1N2Nvbixo1aog5c+aIjIwMdZ8XWbZLCCEiIyPFoEGDRJkyZYStra2oVKmSGD16tHrpsbS0NDFhwgTh4+Mj7O3tRbNmzURERESu1y2EED///LOoVauWsLKy0lga6fnXLoQQT58+FePHjxe+vr7C2tpaVK1aVSxYsEC9XNizMef1NfX39y90GajCln8aMmSIUCqV6iXBnj59KqZMmSKqVKkibGxshIeHh2jatKn47LPP1O+5Nl83IYQ4ffq0CAoKUvdZtGiRVst25fc+/vPPP2LYsGGicuXKws7OTpQqVUq0adNG7N27t8D3IEe3bt1E27Zt8z3//LJdObZs2SKaN28uHB0dhaOjo6hRo4YYPXq0uHr1qhBCaB3XlStXRMuWLYW9vb0AUODXLufrlnNYWVmJUqVKiaCgIDFlypQ8l9AyxPfp33//LYKDg4WTk5Pw8PAQI0aMUC8R9/wyX6+88opo3rx5vq+BiAxDEkLHW1qJiKjYOnz4MFq3bo0rV66gatWq5g7HosXExKBixYrYuHEjZ2iJjIwJLRERachZamzlypXmDsWiTZ48Gfv378eJEyfMHQpRsceEloiIiIgsGlc5ICIiIiKLxoSWiIiIqJiaN28eXnrpJTg7O8PT0xM9evTQaufNzZs3o0aNGrCzs0NAQAB+++03jfNCCEydOhU+Pj6wt7dHcHCwUbZf1xYTWiIiIqJi6o8//sDo0aPx559/Ys+ePcjMzET79u2RnJyc73OOHTuG/v3744033sDZs2fRo0cP9OjRQ2ODnU8//RRLly5FWFgYjh8/DkdHR4SEhGi99ruhsYaWiIiIqIR48OABPD098ccff6Bly5Z59nnllVeQnJyMX375Rd32v//9D/Xq1UNYWBiEEPD19cWECRMwceJEANmbiHh5eWHt2rV49dVXTfJansWNFQohyzLu378PZ2dng27JSERERMYjhMDTp0/h6+sLhcL0H0inpaUhIyPDKGMLIXLlJLa2trC1tS30uQkJCQCyt0vPT0REBEJDQzXaQkJCEB4eDiB7O+eYmBiNLcBdXV0RFBSEiIgIJrRF0f379+Hn52fuMIiIiEgPd+7cQbly5Ux6zbS0NFT0d0JMnMoo4zs5OWnsKAlk7445ffr0Ap8nyzLGjRuHZs2aoU6dOvn2i4mJgZeXl0abl5cXYmJi1Odz2vLrY2pMaAvh7OwMIPsvhIuLi5mjISIiIm0kJibCz89P/XPclDIyMhATp0Lk6QpwcTbs7HDiUxn+DW/nyku0mZ0dPXo0Ll26hCNHjhg0pqKACW0hcqb0XVxcmNASERFZGHOWCzo5S3ByNuz1ZeiXl4wZMwa//PILDh06VOiMtbe3N2JjYzXaYmNj4e3trT6f0+bj46PRp169elrHZEhc5YCIiIjICFRCNsqhCyEExowZg23btmH//v2oWLFioc9p0qQJ9u3bp9G2Z88eNGnSBABQsWJFeHt7a/RJTEzE8ePH1X1MjTO0RERERMXU6NGj8f333+Pnn3+Gs7OzusbV1dUV9vb2AIBBgwahbNmymDdvHgBg7NixaNWqFRYuXIjOnTtj48aNOHXqFL7++msA2bPe48aNw+zZs1G1alVUrFgRH3/8MXx9fdGjRw+zvE4mtERERERGIENAhmFXR9V1vC+//BIA0Lp1a432NWvWYMiQIQCAqKgojZUgmjZtiu+//x4fffQRPvjgA1StWhXh4eEaN5K99957SE5OxsiRIxEfH4/mzZtj586dsLOz0++FvSCuQ1uIxMREuLq6IiEhId9aFSEEsrKyoFIZ527GokapVMLKyorLmBERUZGlzc9vY1875mp5o9wU5l09yiyvqyjjDO0LysjIQHR0NFJSUswdikk5ODjAx8cHNjY25g6FiIioSJIhQ7eKV+3GpNyY0L4AWZZx69YtKJVK+Pr6wsbGptjPWgohkJGRgQcPHuDWrVuoWrWqWRasJiIiIsrBhPYFZGRkQJZl+Pn5wcHBwdzhmIy9vT2sra0RGRmJjIwMs9XLEBERFWUqIaAycGWnoccrLji1ZgAlcYayJL5mIiIiKpo4Q0tERERkBEVhlYOSggktERERkRHIEFAxoTUJfm5sZpIkITw83NxhEBEREVksJrRGFhMTg3feeQeVKlWCra0t/Pz80LVr11xbyhEREVHxklNyYOiDcmPJgRHdvn0bzZo1g5ubGxYsWICAgABkZmZi165dGD16NK5cuWLuEImIqBgTQgbkOAASoPAs9ktLUsnFGVojevvttyFJEk6cOIHevXujWrVqqF27NkJDQ/Hnn3/m+Zz3338f1apVg4ODAypVqoSPP/4YmZmZ6vPnz59HmzZt4OzsDBcXFzRs2BCnTp0CAERGRqJr165wd3eHo6Mjateujd9++0393EuXLqFjx45wcnKCl5cXXn/9dTx8+FB9/qeffkJAQADs7e1RunRpBAcHIzk52UjvDhERGYsQKojkVRAPWkE8aAnxoAXEw3YQKRvBDUJNJ2fZLkMflBtnaI3k8ePH2LlzJ+bMmQNHR8dc593c3PJ8nrOzM9auXQtfX19cvHgRI0aMgLOzM9577z0AwMCBA1G/fn18+eWXUCqVOHfuHKytrQEAo0ePRkZGBg4dOgRHR0f8/fffcHJyAgDEx8fj5ZdfxvDhw7F48WKkpqbi/fffR79+/bB//35ER0ejf//++PTTT9GzZ088ffoUhw8f5j98REQWRggZIj4USN8JPPvxtOoOROJUIPMa4PIxZ2upWGFCayQ3btyAEAI1atTQ6XkfffSR+s8VKlTAxIkTsXHjRnVCGxUVhUmTJqnHrVq1qrp/VFQUevfujYCAAABApUqV1OeWL1+O+vXrY+7cueq21atXw8/PD9euXUNSUhKysrLQq1cv+Pv7A4B6HCIisiDpe4D03/M48W9ym7oBsO8I2Lxk0rBKIvnfw9BjUm4sOTASfWc2N23ahGbNmsHb2xtOTk746KOPEBUVpT4fGhqK4cOHIzg4GJ988glu3rypPvfuu+9i9uzZaNasGaZNm4YLFy6oz50/fx4HDhyAk5OT+shJim/evInAwEC0bdsWAQEB6Nu3L1auXIknT57o+eqJiMhcRPIGFPzjXQmRstFU4RCZBBNaI6latSokSdLpxq+IiAgMHDgQnTp1wi+//IKzZ8/iww8/REZGhrrP9OnT8ddff6Fz587Yv38/atWqhW3btgEAhg8fjn/++Qevv/46Ll68iEaNGmHZsmUAgKSkJHTt2hXnzp3TOK5fv46WLVtCqVRiz549+P3331GrVi0sW7YM1atXx61btwz7xhARkXGpbqDgeTwVkHXVVNGUaKp/16E19EG5MaE1klKlSiEkJAQrVqzI88aq+Pj4XG3Hjh2Dv78/PvzwQzRq1AhVq1ZFZGRkrn7VqlXD+PHjsXv3bvTq1Qtr1qxRn/Pz88Nbb72FrVu3YsKECVi5ciUAoEGDBvjrr79QoUIFVKlSRePIqfGVJAnNmjXDjBkzcPbsWdjY2KiTZSIishBS7vs2nusASE4mCaWkUwnjHJQbE1ojWrFiBVQqFRo3bowtW7bg+vXruHz5MpYuXYomTZrk6l+1alVERUVh48aNuHnzJpYuXaqRUKampmLMmDE4ePAgIiMjcfToUZw8eRI1a9YEAIwbNw67du3CrVu3cObMGRw4cEB9bvTo0Xj8+DH69++PkydP4ubNm9i1axeGDh0KlUqF48ePY+7cuTh16hSioqKwdetWPHjwQP18IiKyEHZdUNiPd8muk2liITIR3hRmRJUqVcKZM2cwZ84cTJgwAdHR0ShTpgwaNmyIL7/8Mlf/bt26Yfz48RgzZgzS09PRuXNnfPzxx5g+fToAQKlU4tGjRxg0aBBiY2Ph4eGBXr16YcaMGQAAlUqF0aNH4+7du3BxcUGHDh2wePFiAICvry+OHj2K999/H+3bt0d6ejr8/f3RoUMHKBQKuLi44NChQ1iyZAkSExPh7++PhQsXomPHjiZ7v4iI6MVJDv0hUjYAIhmA6rmzSkBRGrDvZY7QShzeFGY6kuC6TAVKTEyEq6srEhIS4OLionEuLS0Nt27dQsWKFWFnZ2emCM2jJL92IqKiTmT+DfHkTUCOxX9zV1mA0h+S+0pIVhXMGJ1pFPTz21TXPve3J5ydDfth+NOnMurVijPL6yrKOENLRERUzEjWtYAy+4H0/RAZpwEoINn+D7BpCUlitaGpyJCggmHX+5UNPF5xwYSWiIioGJIka8AuBJJdiLlDITI6JrRERERERiCL7MPQY1Ju/NyBiIiIiCwaZ2iJiIiIjEBlhBpaQ49XXDChJSIiIjICJrSmw5IDIiIiIrJonKElIiIiMgJZSJCFgZftMvB4xQVnaImIiIjIonGGtghRqVS4dPgKHkU/QWkfd9RpUQNKpdLcYREREZEeWENrOkxoi4jDW4/ji3Fr8PDuI3WbR7nSeHvJULToFWTUa69YsQILFixATEwMAgMDsWzZMjRu3Nio1yQiIiIyFJYcFAGHtx7HzL6faSSzAPDw3iPM7PsZDm89brRrb9q0CaGhoZg2bRrOnDmDwMBAhISEIC4uzmjXJCIiKglUUBjloNz4rpiZSqXCF+PWAHnt/PFv25fj10ClUhnl+osWLcKIESMwdOhQ1KpVC2FhYXBwcMDq1auNcj0iIiIiQ2NCa2aXDl/JNTOrQQAP7jzCpcNXDH7tjIwMnD59GsHBweo2hUKB4OBgREREGPx6REREJYn4d5UDQx6CqxzkiTW0ZvYo+olB++ni4cOHUKlU8PLy0mj38vLClSuGT6CJiIhKEt4UZjqcoTWz0j7uBu1HREREVNJwhtbM6rSoAY9ypfHw3qO862gloEy50qjToobBr+3h4QGlUonY2FiN9tjYWHh7exv8ekRERCWJSiigEoadO1TllSsQZ2jNTalU4u0lQ7MfPP8pwr+PRy0eapT1aG1sbNCwYUPs27dP3SbLMvbt24cmTZoY/HpERERExsCEtgho0SsIUzdPhEfZ0hrtZcqVxtTNE426Dm1oaChWrlyJdevW4fLlyxg1ahSSk5MxdOhQo12TiIioJJAhQYbCwAdraPPCkoMiokWvIDTt3sjkO4W98sorePDgAaZOnYqYmBjUq1cPO3fuzHWjGBEREVFRxYS2CFEqlQhsXdvk1x0zZgzGjBlj8usSEREVZ1zlwHRYckBEREREFo0ztERERERGYJxVDrjMQV6Y0BIREREZQfZNYYYtEeBNYXljyQERERERWTTO0BIREREZgQwFVAaeO5Tz3IWJOENLRERERBaNM7RERERERsCbwkyHM7REREREZNGY0BIREREZgeG3vc0+dHHo0CF07doVvr6+kCQJ4eHhBfYfMmQIJEnKddSu/d/GT9OnT891vkaNGvq8RQbDhLYIUcky/rx7B9uvXsafd+9AJcvmDomIiIgsWHJyMgIDA7FixQqt+n/++eeIjo5WH3fu3EGpUqXQt29fjX61a9fW6HfkyBFjhK811tAWETtvXMfMQ/sRk5SkbvN2csLUli+jQ5WqRrvuoUOHsGDBApw+fRrR0dHYtm0bevToYbTrERERlRQqIUElDLz17b/jJSYmarTb2trC1tY2V/+OHTuiY8eOWo/v6uoKV1dX9ePw8HA8efIEQ4cO1ehnZWUFb29vXUI3Ks7QFgE7b1zH6N+2aySzABCblITRv23HzhvXjXZtXX9ze54QAo+in+Dh/ceQOaNMRESkpvp32S5DHwDg5+enTj5dXV0xb948o7yGVatWITg4GP7+/hrt169fh6+vLypVqoSBAwciKirKKNfXFmdozUwly5h5aH+eq8oJABKAWYcOoF2lylAqDP/7h66/ualjEwKpT1MxpcNs/HX4GgDA078M+ozvgu5jOkBhhFiJiIgo2507d+Di4qJ+nNfs7Iu6f/8+fv/9d3z//fca7UFBQVi7di2qV6+O6OhozJgxAy1atMClS5fg7Oxs8Di0wYTWzE7ev5drZvZZAkB00lOcvH8P/yvnZ7rACiCEwKP7T5D4OAkP7jxSt8dFPsAX49bg6skbeH/9O5Akbs9HREQllywUkA28bJf877JdLi4uGgmtMaxbtw5ubm65ShGfnQirW7cugoKC4O/vjx9//BFvvPGGUWPKD6fRzCwuOf9kVp9+ppD6NA1Pn2THI/JYD2/fd4cRseOUqcMiIiIiAxFCYPXq1Xj99ddhY2NTYF83NzdUq1YNN27cMFF0uTGhNTNPRyeD9jOF+AcJ2bUQ+VAoFdj+xS7TBURERFQEGbOG1tj++OMP3LhxQ6sZ16SkJNy8eRM+Pj4miCxvTGjN7CXfsvB2cso3P5QA+Dg54yXfsqYMq0AZqRkoaCtpWSXj9qU7pguIiIiI8pSUlIRz587h3LlzAIBbt27h3Llz6pu4pkyZgkGDBuV63qpVqxAUFIQ6derkOjdx4kT88ccfuH37No4dO4aePXtCqVSif//+Rn0tBWFCa2ZKhQJTW74MIPekZ87jj1u2McoNYfpSKAuPxcHZzgSREBERFV0y/lu6y1CHrusJnTp1CvXr10f9+vUBAKGhoahfvz6mTp0KAIiOjs61QkFCQgK2bNmS7+zs3bt30b9/f1SvXh39+vVD6dKl8eeff6JMmTK6vkUGw5vCioAOVapiRadueaxD64yPW7Yx6jq0SUlJGjUvOb+5lSpVCuXLl8/zOU7uTkhOTsl3TIVSgTavNjd4rERERKSb1q1b53m/S461a9fmanN1dUVKSv4/5zdu3GiI0AyKCW0R0aFKVbSrVBkn799DXHISPB2d8JJvWaPPzJ46dQpt2rRRPw4NDQUADB48OM9vcgBw9XDGw5hHeZ5TKBVwdLFH5zeDDR4rERGRJdFnq1ptxqTcmNAWIUqFwuRLcxX2m1telFZKeFcog9iHMdmPrZUAAFWmCqW83TBrx2SU8nY3eKxERESWRCUUUBl42S5Dj1dcMKElvdjY2aC0rzveWTEc5/b8BSEEAlrURJNujWBlzW8rIiIiMh1mHqQ3SZJQ/+UANOn0krlDISIiKnJkSJALWudSzzEpN85bExEREZFF4wwtERERkRGwhtZ0+K4QERERkUXjDC0RERGRERhjq1pTbX1rafiuEBEREZFF4wwtERERkRHIQoIsDLzKgYHHKy44Q0tEREREFo0ztEWIECog4xQgPwAUZQCbRpAkpbnDIiIiIj3IRqih5da3eeO7UkSItF0QD9pAPHkdIiE0+/8P2kCk7TLqdefNm4eXXnoJzs7O8PT0RI8ePXD16lWjXpOIiKgkkIXCKAflxnelCBBpuyDi3wXkGM0TcixE/LtGTWr/+OMPjB49Gn/++Sf27NmDzMxMtG/fHsnJyUa7JhEREZEhseTAzIRQQSTOASDyOgtAgkicC9gGG6X8YOfOnRqP165dC09PT5w+fRotW7Y0+PWIiIhKChUkqAy8Va2hxysuOENrbhmncs/MahCAHJ3dzwQSEhIAAKVKlTLJ9YiIiIheFGdozU1+YNh+L0CWZYwbNw7NmjVDnTp1jH49IiKi4swYNa+soc0bE1pzU5QxbL8XMHr0aFy6dAlHjhwx+rWIiIiIDIUJrbnZNAIU3oAci7zraKXs8zaNjBrGmDFj8Msvv+DQoUMoV66cUa9FRERUEqhg+JpXlUFHKz44b21mkqSE5PJhzqPnz2b/1+UDo61HK4TAmDFjsG3bNuzfvx8VK1Y0ynWIiIiIjIUztEWAZBcCuC3NXu3g2RvEFN7ZyaxdiNGuPXr0aHz//ff4+eef4ezsjJiY7Ou7urrC3t7eaNclIiIq7lhDazpMaIsIyS4EsA02+U5hX375JQCgdevWGu1r1qzBkCFDjHptIiKi4kwlFFAZOAE19HjFBRPaIkSSlIBtkEmvKURedbtERERElsOi0vxDhw6ha9eu8PX1hSRJCA8PL/Q5Bw8eRIMGDWBra4sqVapg7dq1Ro+TiIiISECCbOBDcGOFPFlUQpucnIzAwECsWLFCq/63bt1C586d0aZNG5w7dw7jxo3D8OHDsWuX8baSJSIiIiLTsqiSg44dO6Jjx45a9w8LC0PFihWxcOFCAEDNmjVx5MgRLF68GCEhxrvRioiIiIg1tKZTrN+ViIgIBAcHa7SFhIQgIiIi3+ekp6cjMTFR4yAiIiKioqtYJ7QxMTHw8vLSaPPy8kJiYiJSU1PzfM68efPg6uqqPvz8/Aq9Tkm8saokvmYiIiJdyEIyykG5FeuEVh9TpkxBQkKC+rhz506+fa2trQEAKSkppgqvyMh5zTnvAREREZG5WFQNra68vb0RGxur0RYbGwsXF5d8Nw2wtbWFra2tVuMrlUq4ubkhLi4OAODg4ABJKt6/OQkhkJKSgri4OLi5uUGpNO46uURERJZKBQVUBp47NPR4xUWxTmibNGmC3377TaNtz549aNKkicGu4e3tDQDqpLakcHNzU792IiIiys0YJQIsOcibRSW0SUlJuHHjhvrxrVu3cO7cOZQqVQrly5fHlClTcO/ePaxfvx4A8NZbb2H58uV47733MGzYMOzfvx8//vgjfv31V4PFJEkSfHx84OnpiczMTIONW5RZW1tzZpaIiIiKDItKaE+dOoU2bdqoH4eGhgIABg8ejLVr1yI6OhpRUVHq8xUrVsSvv/6K8ePH4/PPP0e5cuXwzTffGGXJLqVSySSPiIiI1GQoIBu4RMDQ4xUXFpXQtm7dusC76/PaBax169Y4e/asEaMiIiIiInOyqISWiIiIyFKohASVgWteDT1eccF5ayIiIiKyaJyhJSIiIjICrnJgOpyhJSIiIiKLxhlaIiIiIiMQQgFZGHbuUBh4vOKCCS0RERGREaggQQUD3xRm4PGKC6b5RERERGTROENLREREZASyMPxNXHL+y/GXaJyhJSIiIiKLxhlaIiIiIiOQjXBTmKHHKy74rhARERGRReMMLREREZERyJAgG3hVAkOPV1xwhpaIiIiomDp06BC6du0KX19fSJKE8PDwAvsfPHgQkiTlOmJiYjT6rVixAhUqVICdnR2CgoJw4sQJI76KwjGhJSIiIjIClZCMcugiOTkZgYGBWLFihU7Pu3r1KqKjo9WHp6en+tymTZsQGhqKadOm4cyZMwgMDERISAji4uJ0uoYhseSAiIiIyAiKwk1hHTt2RMeOHXW+jqenJ9zc3PI8t2jRIowYMQJDhw4FAISFheHXX3/F6tWrMXnyZJ2vZQicoSUiIiKyMImJiRpHenq6QcevV68efHx80K5dOxw9elTdnpGRgdOnTyM4OFjdplAoEBwcjIiICIPGoAsmtERERERGIEOCLAx8/HtTmJ+fH1xdXdXHvHnzDBKzj48PwsLCsGXLFmzZsgV+fn5o3bo1zpw5AwB4+PAhVCoVvLy8NJ7n5eWVq87WlFhyQERERGRh7ty5AxcXF/VjW1tbg4xbvXp1VK9eXf24adOmuHnzJhYvXoxvv/3WINcwBia0REREREYgjLBsl/h3PBcXF42E1pgaN26MI0eOAAA8PDygVCoRGxur0Sc2Nhbe3t4miScvLDkgIiIionydO3cOPj4+AAAbGxs0bNgQ+/btU5+XZRn79u1DkyZNzBUiZ2iJiIiIjCGn7tXQY+oiKSkJN27cUD++desWzp07h1KlSqF8+fKYMmUK7t27h/Xr1wMAlixZgooVK6J27dpIS0vDN998g/3792P37t3qMUJDQzF48GA0atQIjRs3xpIlS5CcnKxe9cAcmNASERERFVOnTp1CmzZt1I9DQ0MBAIMHD8batWsRHR2NqKgo9fmMjAxMmDAB9+7dg4ODA+rWrYu9e/dqjPHKK6/gwYMHmDp1KmJiYlCvXj3s3Lkz141ipiQJIYTZrm4BEhMT4erqioSEBJPVqhAREdGLMefP75xr99wzFNaONgYdOzM5A9varWFe8hzO0BIREREZQVEoOSgpeFMYEREREVk0ztASERERGYFshGW7DD1eccEZWiIiIiKyaJyhJSIiIjIC1tCaDmdoiYiIiMiicYaWiIiIyAg4Q2s6nKElIiIiIovGGVoiIiIiI+AMrekwoSUiIiIyAia0psOSAyIiIiKyaJyhJSIiIjICAcNvhCAMOlrxwRlaIiIiIrJonKElIiIiMgLW0JoOZ2iJiIiIyKJxhpaIiIjICDhDazqcoSUiIiIii8YZWiIiIiIj4Ayt6TChJSIiIjICJrSmw5IDIiIiIrJonKElIiIiMgIhJAgDz6gaerzigjO0RERERGTROENLREREZAQyJINvfWvo8YoLztASERERkUXjDC0RERGREXCVA9PhDC0RERERWTTO0BIREREZAVc5MB3O0BIRERGRReMMLREREZERsIbWdJjQEhERERkBSw5MhyUHRERERGTROENLREREZATCCCUHnKHNm84ztLIs59seFRX1wgEREREREelC64Q2MTER/fr1g6OjI7y8vDB16lSoVCr1+QcPHqBixYpGCZKKl8yMTJzZdxGHtx7HrUv8JYiIiIonAUAIAx/mflFFlNYlBx9//DHOnz+Pb7/9FvHx8Zg9ezbOnDmDrVu3wsbGBgAgBN9myp8QAuHLfse3Mzfj6eMkdXv1l6pg/NdvonJgBfMFR0RERBZL6xna8PBwfPXVV+jTpw+GDx+OU6dO4cGDB+jatSvS09MBAJLEug7K3/dztuKLcWs0klkAuH7mH4xv8TEi/75jpsiIiIgMT4ZklINy0zqhffDgAfz9/dWPPTw8sHfvXjx9+hSdOnVCSkqKUQKk4uFJXAK+nfljnudklYz01Ays+WijiaMiIiKi4kDrhLZ8+fK4fPmyRpuzszN2796N1NRU9OzZ0+DBUfFx4IcjkOX8S1JklYxj20/i6ZOkfPsQERFZkpx1aA19UG5aJ7Tt27fHmjVrcrU7OTlh165dsLOzM2hgVLw8uvcYSmXB325CFngSm2CiiIiIiIwrZ6cwQx+Um9Y3hc2YMQP379/P85yzszP27NmDM2fOGCwwKl7cvNwgq/Je8k1NAtzKuJgmICIiIio2tJ6hdXd3R+3atfM97+zsjFatWhkkKCp+2vRvBhRw06BCqUDjTg3gUtrZhFEREREZj8GX7Pr3oNy49S2ZhIdvKfSb1D3PcwqFBKW1EkNnvWriqIiIiKg44Na3ZDLD5vSHnaMtNs4PR1pSmrq9XHVfTFj1NqrU48YcRERUfBjjJi7eFJY3JrRkMpIkYeCHvdFrXGec3n0eKYmpKFfNBzX/V41rGBMREZHemNCWYJkZmTgWfhKndp+HSqVCjZeqou1rLeDo4mDU69o72qF5zyCjXoOIiMjcOENrOjontEqlEtHR0fD09NRof/ToETw9PaFSqQwWHBnPnav3MDlkNuKiHkJppYAQwJ71f+CbyRsw9aeJaNQ+0NwhEhEREWlF55vCRD6316Wnp8PGxuaFAyLjS01KxaS2M/Dw3mMAgCpLzl5SSwCpSWmY0nE2flq8I9+vNRERERWO69CajtYztEuXLgWQXQf5zTffwMnJSX1OpVLh0KFDqFGjhuEjJIPb990RPIp+AuSXrwrgqwnrcefKPYwLe5P1rURERHowxjJbuo536NAhLFiwAKdPn0Z0dDS2bduGHj165Nt/69at+PLLL3Hu3Dmkp6ejdu3amD59OkJCQtR9pk+fjhkzZmg8r3r16rhy5YpuwRmQ1gnt4sWLAWTP0IaFhUGpVKrP2djYoEKFCggLCzN8hGRwR8NPQIIEkW9Gm+23lfsQ2Ko2Xh7QwkSRERERkSElJycjMDAQw4YNQ69evQrtf+jQIbRr1w5z586Fm5sb1qxZg65du+L48eOoX7++ul/t2rWxd+9e9WMrK/PelqX11W/dugUAaNOmDbZu3Qp3d3ejBUXGlZ6SrlU5gUIhYevnvzGhJSIi0kP2DK2hbwrTrX/Hjh3RsWNHrfsvWbJE4/HcuXPx888/Y8eOHRoJrZWVFby9vXULxoh0rqE9cOAAk1kLV7leBSitCv/Sy7LA9TP/sJaWiIioiElMTNQ40tPTjXIdWZbx9OlTlCpVSqP9+vXr8PX1RaVKlTBw4EBERUUZ5fra0nl+WKVSYe3atdi3bx/i4uIgy7LG+f379xssODKOLm+2Q/iy37Xqq7RSsIaWiIhID8ZctsvPz0+jfdq0aZg+fbpBrwUAn332GZKSktCvXz91W1BQENauXYvq1asjOjoaM2bMQIsWLXDp0iU4O5tnC3udE9qxY8di7dq16Ny5M+rUqcNkxwL51/LDiPmvYeX7Gwrsp7RS4KUO9QvsQ0RERKZ3584duLi4qB/b2toa/Brff/89ZsyYgZ9//lljudZnSxjq1q2LoKAg+Pv748cff8Qbb7xh8Di0oXNCu3HjRvz444/o1KmTMeIhE+k3qTu8KpTBvNeWQpWZ99rBKpWMPqFdTRwZERFR8SCQ/4JCLzImALi4uGgktIa2ceNGDB8+HJs3b0ZwcHCBfd3c3FCtWjXcuHHDaPEURucaWhsbG1SpUsUYsZCJterbFCtOfAIXD2dAAnIm2xVKBRQKCeO/egsBLWqaN0giIiIyqR9++AFDhw7FDz/8gM6dOxfaPykpCTdv3oSPj48JosubzjO0EyZMwOeff47ly5ez3KAYqBxYAd/eXIF9Gw7hz19PIyMtE9UbVUbnN9vBp6KXucMjIiKyWEVh69ukpCSNmdNbt27h3LlzKFWqFMqXL48pU6bg3r17WL9+PYDsMoPBgwfj888/R1BQEGJiYgAA9vb2cHV1BQBMnDgRXbt2hb+/P+7fv49p06ZBqVSif//+BnqVutM5oT1y5AgOHDiA33//HbVr14a1tbXG+a1btxosODINB2d7dB0Vgq6jQgrvTERERNoxZs2Blk6dOoU2bdqoH4eGhgIABg8ejLVr1yI6OlpjhYKvv/4aWVlZGD16NEaPHq1uz+kPAHfv3kX//v3x6NEjlClTBs2bN8eff/6JMmXK6P+6XpDOCa2bmxt69uxpjFiIiIiIyIBat25d4PKbOUlqjoMHDxY65saNG18opjt37kCSJJQrVw4AcOLECXz//feoVasWRo4cqdeYOie0a9as0etCRERERCWKEUoOYOjxzGDAgAEYOXIkXn/9dcTExKBdu3aoXbs2vvvuO8TExGDq1Kk6j6nzTWEAkJWVhb179+Krr77C06dPAQD3799HUlKSPsMRERERUQlx6dIlNG7cGADw448/ok6dOjh27Bi+++67XDPG2tJ5hjYyMhIdOnRAVFQU0tPT0a5dOzg7O2P+/PlIT09HWFiYXoEQERERFSfZW98afkxLl5mZqV43d+/evejWrRsAoEaNGoiOjtZrTJ1naMeOHYtGjRrhyZMnsLe3V7f37NkT+/bt0ysIIiIiIioZateujbCwMBw+fBh79uxBhw4dAGR/2l+6dGm9xtR5hvbw4cM4duwYbGxsNNorVKiAe/fu6RUEERERUXFTFJbtKormz5+Pnj17YsGCBRg8eDACAwMBANu3b1eXIuhK54RWlmWoVLl3lrp7967Z9u8lIiIiIsvQunVrPHz4EImJiXB3d1e3jxw5Eg4ODnqNqXPJQfv27bFkyRL1Y0mSkJSUhGnTpnE7XCIiIqIcQjLOYeFSU1ORnp6uTmYjIyOxZMkSXL16FZ6ennqNqXNCu3DhQhw9ehS1atVCWloaBgwYoC43mD9/vl5BEBERERU3OTeFGfqwdN27d1fvTBYfH4+goCAsXLgQPXr0wJdffqnXmDontOXKlcP58+fxwQcfYPz48ahfvz4++eQTnD17Vu+smoiIiIhKhjNnzqBFixYAgJ9++gleXl6IjIzE+vXrsXTpUr3G1LmGFgCsrKzw2muv6XXBF7VixQosWLAAMTExCAwMxLJly/ItIF67di2GDh2q0WZra4u0tDRThEpEREQlWRHY+rYoSklJUd93tXv3bvTq1QsKhQL/+9//EBkZqdeYeiW0169fx4EDBxAXFwdZljXO6bO7g7Y2bdqE0NBQhIWFISgoCEuWLEFISEiBNRcuLi64evWq+rEkWX7tCREREZGlqlKlCsLDw9GzZ0/s2rUL48ePBwDExcXBxcVFrzF1TmhXrlyJUaNGwcPDA97e3hoJoiRJRk1oFy1ahBEjRqhnXcPCwvDrr79i9erVmDx5cp7PkSQJ3t7eRouJiIiIKC9ctitvU6dOxYABAzB+/Hi0bdsWTZo0AZA9W1u/fn29xtQ5oZ09ezbmzJmD999/X68L6isjIwOnT5/GlClT1G0KhQLBwcGIiIjI93lJSUnw9/eHLMto0KAB5s6di9q1a+fbPz09Henp6erHiYmJhnkBRERERIQ+ffqgefPmiI6OVq9BCwBt27ZFz5499RpT55vCnjx5gr59++p1sRfx8OFDqFQqeHl5abR7eXkhJiYmz+dUr14dq1evxs8//4wNGzZAlmU0bdoUd+/ezfc68+bNg6urq/rw8/Mz6OsgIiKiEkQY+CgmvL29Ub9+fSgU/6WijRs3Ro0aNfQaT+cZ2r59+2L37t1466239LqgKTVp0kQ9jQ0ATZs2Rc2aNfHVV19h1qxZeT5nypQpCA0NVT9OTExkUktERERkQKdOncKPP/6IqKgoZGRkaJzbunWrzuPpnNBWqVIFH3/8Mf78808EBATA2tpa4/y7776rcxDa8PDwgFKpRGxsrEZ7bGys1jWy1tbWqF+/Pm7cuJFvH1tbW9ja2r5QrERERESsoc3bxo0bMWjQIISEhGD37t1o3749rl27htjYWL1LDnROaL/++ms4OTnhjz/+wB9//KFxTpIkoyW0NjY2aNiwIfbt24cePXoAyN6Gd9++fRgzZoxWY6hUKly8eJE7mhEREZHxcdmuPM2dOxeLFy/G6NGj4ezsjM8//xwVK1bEm2++CR8fH73G1DmhvXXrll4XMoTQ0FAMHjwYjRo1QuPGjbFkyRIkJyerVz0YNGgQypYti3nz5gEAZs6cif/973+oUqUK4uPjsWDBAkRGRmL48OFmew1EREREJdnNmzfRuXNnANkTlsnJyZAkCePHj8fLL7+MGTNm6DymXuvQ5hD/7r9mqrVdX3nlFTx48ABTp05FTEwM6tWrh507d6pvFIuKitIoLn7y5AlGjBiBmJgYuLu7o2HDhjh27Bhq1aplkniJiIioJJP+PQw9pmVzd3fH06dPAQBly5bFpUuXEBAQgPj4eKSkpOg1pl4J7fr167FgwQJcv34dAFCtWjVMmjQJr7/+ul5B6GLMmDH5lhgcPHhQ4/HixYuxePFio8dERERERNpp2bIl9uzZg4CAAPTt2xdjx47F/v37sWfPHrRt21avMXVOaBctWoSPP/4YY8aMQbNmzQAAR44cwVtvvYWHDx+qd3sgIiIiKtFYQ5un5cuXIy0tDQDw4YcfwtraGseOHUPv3r3x0Ucf6TWmzgntsmXL8OWXX2LQoEHqtm7duqF27dqYPn06E1oiIiIiylepUqXUf1YoFPnu9qoLnRPa6OhoNG3aNFd706ZNER0d/cIBERERERULnKFV02XnVRcXF53H12sd2h9//BEffPCBRvumTZtQtWpVnQOgoi85MQV7vz2EC4f+hhACdVvUQrtBLeHo6mju0IiIiMgCuLm5FbqIgBACkiRBpVLpPL7OCe2MGTPwyiuv4NChQ+oa2qNHj2Lfvn348ccfdQ6AirZLRy7jo66fIDkxRf2NeGTLcaz+6AfM2v4+AlvVNnOERERERZSQsg9Dj2mBDhw4YNTxdU5oe/fujePHj2Px4sUIDw8HANSsWRMnTpxA/fr1DR0fmdHDe48wpeMcZKRmAOK/ZdoAIC05DR92nofVfy+GZ/kyZoySiIioaBIi+zD0mJaoVatWRh1fUXiX3Bo2bIgNGzbg9OnTOH36NDZs2MBkthj6JWwPMtIyIcu5//YIWSAzPRM7wvaYITIiIiKyNNevX0f//v3zrKdNSEjAgAED8M8//+g1tl4JrUqlwk8//YRZs2Zh1qxZ2LJlC7KysvQKgIquoz+fgKyS8z0vq2QcDT9hwoiIiIgsiDDSYaEWLFgAPz+/PG/6cnV1hZ+fHxYsWKDX2DqXHPz111/o1q0bYmJiUL16dQDA/PnzUaZMGezYsQN16tTRKxAqejLTMg3Sh4iIiOiPP/7Ahg0b8j3fr18/DBgwQK+xdZ6hHT58OGrXro27d+/izJkzOHPmDO7cuYO6deti5MiRegVBRVO1l6pAaZX/t4jSSoHqQVVMGBEREZEFybkpzNCHhYqKioKnp2e+5z08PHDnzh29xtY5oT137hzmzZsHd3d3dZu7uzvmzJmDs2fP6hUEFU3dR3eAKiv/kgNVlozub3cwYURERERkqVxdXXHz5s18z9+4cUOvNWgBPRLaatWqITY2Nld7XFwcqlThbF1xUrtpdbw+tS8AQKH871sl588DP+yNgBY1zRIbERFRUScJ4xyWqmXLlli2bFm+55cuXYoWLVroNbbONbTz5s3Du+++i+nTp+N///sfAODPP//EzJkzMX/+fI071/TNsqnoGDS9H6o0qIifFu3ApSNXAGQnur3Hd0GzHo3NHB0RERFZiilTpqBJkybo06cP3nvvPfW9WFeuXMGnn36KXbt24dixY3qNLQmh24pmCsV/M3U5C+3nDPHsY313eihqEhMT4erqioSEhBKfoMtydvnBs98DRERERZE5f37nXNtvyUwo7O0MOracmoY746ZabF7yyy+/YNiwYXj06JFGe+nSpfHNN9+gW7dueo2r8wytsXd6oKKLiSwREZEOuFNYLl26dEFkZCR27tyJGzduQAiBatWqoX379nBwcNB7XJ0TWmPv9EDmo1KpkPgoCTZ21nB00f+bioiIiCg/9vb26Nmzp0HH1DmhBYC0tDRcuHABcXFx6o+hc+g7VUzmk56ajh8XbMf2L3YhPi4BABDQsiYGftgbDdsFmjk6IiIiC2WMjRAs+KYwY9I5od25cycGDRqEhw8f5jpXXOpmS5L01HS8124WLv95DeKZLW7/OnoFkzvMxoSVo9Bh2MtmjJCISiIhBJB1EZCfAApfSNZVzR0SERVhOie077zzDvr27YupU6fCy8vLGDGRCW1Z/GuuZBYAZFX24yWjvkZQ5wZw93IzQ3REJVNqZiZ+vnoZ4Vcu43FaCiq4uuOVOgFoU6ESFJJl189pQ6Tthnj6KaCK+q/NqjYkl6mQbOqbMTIiHXGG1mR0TmhjY2MRGhrKZLYYEELg5xU7cyWzz5JVMnatOYBXJxu21oWI8hablIQBW3/ErfgnkJD9s+vWkyfYe+smQipXwdIOXWCtVJo7TKMRqb9AJIQCeC5xz7oM8fg1oNS3kGwamCU2Iiq6dL5tvU+fPjh48KARQiFTS01Kw+PoJwX2kSQJkZfvmigiInrn9x2ISogH8N9EjOrfpRF337yBZSf+NE9gJiBEBkTizJxHz52VAaggEueaOCqiFyCMdFigxMRErQ996DxDu3z5cvTt2xeHDx9GQEAArK2tNc6/++67egVCpmdtawVJIRU4QytJEmztbU0YFVHJ9VdcLE5F38/3vACw7vxZjH4pCLZWet3TW7SlHwJEfAEdZCDrAkTWDUhW3JmSyJK4ubmp9ysojD73Y+n8L+IPP/yA3bt3w87ODgcPHtQITpIkJrQWxNrGGo071sfJnecgq+Q8+6iyVGjWkzuCEZlCxN07UEgS5AL2u3makY4rDx8g0NvHhJGZiCoaUBdaFNQvBmBCS5aA69CqPbuPwe3btzF58mQMGTIETZo0AQBERERg3bp1mDdvnl7j65zQfvjhh5gxYwYmT57MhfaLgf5TeuHE72fz/BmitFKgYoA/Grara5bYiEoaoeVniRb6iWPhFKWg1atTlDJ6KERkWM/uYzBz5kwsWrQI/fv3V7d169YNAQEB+PrrrzF48GCdx9c5I83IyMArr7zCZLaYqN20Oj7aOB42djaQJAlKKyWUVtk3nFSuVxFzf/+QX2siE2nkU7bA2VkAcLC2RrXSHiaKyMRs2wBSQZu6SICyEmBV02QhEb0ISRjnsHQRERFo1KhRrvZGjRrhxIkTeo2pc6YyePBgbNq0Sa+LUdHUsk8T/Hj/a7z9+VB0GNoG3d4OwYJ907D8+Dy4e7qaOzyiEqOetw/qlPGEMp86M4UkYUCdunB47t6F4kJSOEByGp/f2ez/Or+vdR0ekdnxprA8+fn5YeXKlbnav/nmG/j5+ek1ps4lByqVCp9++il27dqFunXr5ropbNGiRXoFQubl6OqIHmM6AgDSUtIRfTMGd6/dR9mqPpyhJTIRSZKwolM3vLJlI+KSkiH/+5Mrp642qGw5TGjS3MxRGpnDoOwKqKQlgEj+r11RGpLLNEh2bcwVGREZyOLFi9G7d2/8/vvvCAoKAgCcOHEC169fx5YtW/QaU+dM5eLFi6hfvz4UCgUuXbqEs2fPqo9z587pFQQVDSlPU7Fi7Gr08XwDIwMnYljNcRhc9R389s2+7F17iMjo/Fxd8fuAwXivWQtULVUaZRwcUN/bBwvbdcTa7r11Xt3gYUoKlp/4E52/X4+X163CmN934M+7d4rs32lJkiA5DobkeQyS21JILtMhuX8NqcwhSHYh5g6PyOIcOnQIXbt2ha+vLyRJQnh4eKHPOXjwIBo0aABbW1tUqVIFa9euzdVnxYoVqFChAuzs7BAUFKRTqUCnTp1w7do1dO3aFY8fP8bjx4/RtWtXXLt2DZ06ddLh1f1H5xnaZ+9So+IjNTkNE9tMx83ztzVWPIi5HYfFI8MQF/kAQ2a9asYIiUoOVzs7jGz4EkY2fOmFxrkYF4vXt21GUkaGujb3TmICfrt+DcPqNcCHLVoX2Y/vJckesOtg7jCILF5ycjICAwMxbNgw9OrVq9D+t27dQufOnfHWW2/hu+++w759+zB8+HD4+PggJCT7l8pNmzYhNDQUYWFhCAoKwpIlSxASEoKrV6/C09NTq7j8/Pwwd67h1pV+oc+S7969i7t3ueh+cfDzst9x49yt3Mt3/TuJ892cLdxggciCpGdlYdjPWzWSWeC/TRpWnzuD8CuXzRUeUYkgwQg3hekYQ8eOHTF79mz07Kndjp9hYWGoWLEiFi5ciJo1a2LMmDHo06cPFi9erO6zaNEijBgxAkOHDkWtWrUQFhYGBwcHrF69Wuu4Dh8+jNdeew1NmzbFvXv3AADffvstjhw5otsL/JfOCa0sy5g5cyZcXV3h7+8Pf39/uLm5YdasWZDlvNcypaJvR9juAjdYUFgpsHPVfhNGREQv4vcb1/AoNSXfVRMkAN+cPWXaoIjIYJ7fXSs9Pd0g40ZERCA4OFijLSQkBBEREQCyV7s6ffq0Rh+FQoHg4GB1n8Js2bIFISEhsLe3x5kzZ9SxJyQk6D1rq3NC++GHH2L58uX45JNP1LWzc+fOxbJly/Dxxx/rFQSZlyzLiIt6WHCfLBn3b8aYKCIielF/3r0DKyn/f+IFgMsPHyApI8N0QRGVNDkbKxj6QPZH9q6urupD3w0JnhcTEwMvLy+NNi8vLyQmJiI1NRUPHz6ESqXKs09MjHZ5wuzZsxEWFoaVK1dqLC7QrFkznDlzRq+4da6hXbduHb755ht069ZN3Va3bl2ULVsWb7/9NubMmaNXIGQ+CoUCdo62SEvO/7c7hZUCjq4FrQ9JREVJ9uo+RfPGLyJ6cXfu3IGLi4v6sa2t5WxTf/XqVbRs2TJXu6urK+Lj4/UaU+cZ2sePH6NGjRq52mvUqIHHjx/rFQSZX5v+zaG0yv/bQc6S0fqVZiaMiIheRFDZcup62bxIAKqX9oCTjY3pgiIqaYy4Dq2Li4vGYaiE1tvbG7GxsRptsbGxcHFxgb29PTw8PKBUKvPs4+3trfU1bty4kav9yJEjqFSpkl5x65zQBgYGYvny5bnaly9fjsDAQL2CIPPrN7EbrGysoVDm/pZQKBWo0bgKGoXw60tkKTpXrY5S9vZQ5LOKgQDwRv2Gpg2KqKSxwI0VmjRpgn379mm07dmzB02aNAEA2NjYoGHDhhp9ZFnGvn371H0KM2LECIwdOxbHjx+HJEm4f/8+vvvuO0ycOBGjRo3SK26dSw4+/fRTdO7cGXv37lUHHhERgTt37uC3337TKwgyv3LVfPHpno8xs+9CPLr/BEorJYQQkFUyAtvUxkcbx3ODBSILYmtlhVVde+L18J+QkpmpvjlMKUlQCYHX69ZD75q1zRwlERlbUlKSxmzorVu3cO7cOZQqVQrly5fHlClTcO/ePaxfvx4A8NZbb2H58uV47733MGzYMOzfvx8//vgjfv31V/UYoaGhGDx4MBo1aoTGjRtjyZIlSE5OxtChQ7WKafLkyZBlGW3btkVKSgpatmwJW1tbTJw4Ee+8845er1MSeqyuff/+faxYsQJXrlwBANSsWRNvv/02fH199QqiKEtMTISrqysSEhI0alWKK1WWCsd/PYPrZ/6Bta01gjo3QOXACuYOi4j0FJechO8vXsBv168iNSsLtcqUwWt166G5n3+RXYOWyBDM+fM759oV5syBws7OoGPLaWm4/eGHWr+ugwcPok2b3DvsDR48GGvXrsWQIUNw+/ZtHDx4UOM548ePx99//41y5crh448/xpAhQzSev3z5cixYsAAxMTGoV68eli5dqt71S1sZGRm4ceMGkpKSUKtWLTg5Oen0/GfpldCWJCUtoSUiosIJIQMZERCp2wH5CWBVFpJ9H0jWnPUuKpjQFl3Dhg3D559/DmdnZ4325ORkvPPOOzqtZ5tD68+Qr1+/jv79+yMxMTHXuYSEBAwYMAD//POPzgEQERFZEiEnQzwZAvFkKJC2Hcg4CKRshHjUE3LC1OxklwiwyBpaU1i3bh1SU1NztaempqpLH3SldUK7YMEC+Pn55fnbgKurK/z8/LBgwQK9giAiIrIUIuEDICNn33qV5v9TNwLJX5sjLKIiLzExEQkJCRBC4OnTpxobQzx58gS//fab1lvnPk/rm8L++OMPbNiwId/z/fr1w4ABA/QKgoiIyBKIrLtA+k4UNE0mklcBjsMgSVwSrcQzxoyqBc/Qurm5QZIkSJKEatWq5TovSRJmzJih19haJ7RRUVEFZs0eHh64c+eOXkEQERFZhIzDhfcRCUDmX4BNfePHQ2RBDhw4ACEEXn75ZWzZsgWlSpVSn7OxsYG/v7/eCwxondC6urri5s2b8Pf3z/P8jRs3LLY4mYiISCsiU8t+3FJYG0KkASIdkJwhFbBVs6WSRPZh6DEtVatWrQBkLx1Wvnx5g660ovV3T8uWLbFs2bJ8zy9duhQtWrQwSFBERERFknVtFP6ZrxVgXdUU0VgskXES8uM3IGIDIeJegnjQHCLpi+wEtzgRknEOC7d//3789NNPudo3b96MdevW6TWm1gntlClT8Pvvv6NPnz44ceIEEhISkJCQgOPHj6N3797YtWsXpkyZolcQRESkKTUzE1sv/4UFxw5jxcnj+OcJtxYvEqwbAMqqAJT5dFACdp0gKUrlc55E6i8Qj18DMo5B/cuB/BAiaSnE40EQIvfd71S8zJs3Dx4eHrnaPT09MXfuXL3G1LrkoH79+vjpp58wbNgwbNu2TeNc6dKl8eOPP6JBgwZ6BUFERP/ZeeM63tu7E0kZGbBSKCALgYURR9CpajV81q4D7KyszR1iiSVJEuC2BOLxAEAk4b9VDgBAASj9Ibl8aK7wijwhx0MkTEZ2Iqt67qwMZF4AklcDTqPNEJ0R8KawPEVFRaFixYq52v39/REVFaXXmDptfdulSxdERkZi586duHHjBoQQqFatGtq3bw8HBwe9AiAiov8cv3sHY37fgZw9b7Lk/9Y03XnjOmRZ4IvO3cwVHgGQrKsCHtshktcAqdsAkQgovCA5vAo4vA5J4Vz4ICVV6s8ACqpDliFSNgCOo4plTS1l8/T0xIULF1ChQgWN9vPnz6N06dJ6jalTQgsA9vb26Nmzp14XIyKign1+PAJA3pMwshDYefM6rj16iGqlNT+uU8kyBAArBZMAU5CUPpBcPgBcPoAQgtsIa0lkXUV2uUZW/p3kR9krRUjupgrLaHhTWN769++Pd999F87OzmjZsiWA7OVhx44di1dffVWvMXVOaImIyDiepKbiz3sFL3+olCT8ev2qOqHd+88NrDxzCqfu34MAEODphTfqN0TXajWYZJkI32cdSNpuA2tr1DDIvGbNmoXbt2+jbdu2sLLKTkVlWcagQYOMX0NLRETGlZRR+FJPCknC03/7LT/xJxb9eRQKSVLP6P71IA7jdv2GszHRmNqyDZMtKlIk2+DskoJ8KQGbIEiKYlLGyBraPNnY2GDTpk2YNWsWzp8/D3t7ewQEBOS7NKw2mNCSQcj/1vkp+HEnkd7KODrAzsoKaVn5fxybJcuo6OaOi3GxWPTnUQDZpQg5cv687vxZtKlQCS39Kxg1ZiKd2DQBrOoAWZeR+6YwAJAhOb5p6qjITKpVq5bnjmH6YEJLL+TItuP4adEO/H3sKgCgdrMa6BPaFc16NDZzZESWx87KGr1r1sbGSxegEnlPw9golehevQbmHv4DSknKt59SkrDu/BmzJLRCpAFpewBVJCC5AHbtISm9TR4HFT2SJAHuKyGejACyLiE7DREAZABWkFxnQ7JtYt4gDckINbSWOkMbGhqKWbNmwdHREaGhoQX2XbRokc7ja5XQJiYmaj0gdwsrOdZ89AO+n7sVCoWEnJ+pf0dcw/ReCzDwo94YMlO/wm6ikmxsUFP8cfsWopOeaiSrCkmCLARmtgmGi60dLsTF5JvMAoBKCFyKizVFyBpE2u8QCR8B4imyf8SogKdzIez7Q3L5EJLEeZSSTlKWBkr/BGREQKTvBUQaJKsqgH3P4rd+L0sO1M6ePYvMzEz1n/Ojb5mUVv+yuLm5FXqBnLs8Vaq8PkKg4ubi4cv4fu5WAIAsP/Nxpyq79OC72VvQKKQe6jSrYZb4iCyVh4MDtrwyAAuPHUH41cvI+Pff1FoeZTA2qCnaVqoMALBVFv7PtzZ9DEmkH4GIH/dMS07phABSv4eAgOQ63aQxUdEkSQrAthkk22bmDoVM5MCBA3n+2VC0+tfOGBcmy/bzip1QWimgypLzPK+0UmD7ip1MaIn0UMbBEZ8Eh+Cjlm0Q/fQpHG2s4eus+elX+8pVcDEuVqN+9llKSUJIFdNuvyqeLgYgIfvj41xngdQfIJzeYvkBlRycoTUZrRLaVq1aGTsOsjBXT97IN5kFAFWWjKsnb5owIqLix8nGBlXzWWS8X60AfHXqJJIyM3IltRIkWCmUeL1uPRNEmU2o7gFZFwvpJQFpvwOOQ00SExEVHb169dK679atW3UeX+/Po1JSUhAVFYWM55aZqVu3rr5DkgWxsbPRog+35yQyltIODljfsw+G/rwFT9LSoPi3LEwIAQdra3zVpTvKu7qZLiA5QYtOCgg5EVxIjEoKbqzwH1dXV/WfhRDYtm0bXF1d0ahRIwDA6dOnER8fr1Pi+yydE9oHDx5g6NCh+P333/M8zxrakqF5z8bYeO2+umb2eQqlAs16cqUDImOq6+WNw0NHYse1K4i4GwVZCDTyKYueNWrB2dbEC9MrfQAokHe5QY4sSFZ+JgqIiIqSNWvWqP/8/vvvo1+/fggLC4NSqQSQnT++/fbbei8uoPOioePGjUN8fDyOHz8Oe3t77Ny5E+vWrUPVqlWxfft2vYIgy9PlrfawsbOGQpF7rkVSSLCxs0aXN9uZITKiksXB2hqv1A7AkpDOWNqhCwYF1jd9MgtAUrgDtu2Rva1pfp0cAbuOJouJiIqm1atXY+LEiepkFgCUSiVCQ0OxevVqvcbUOaHdv38/Fi1ahEaNGkGhUMDf3x+vvfYaPv30U8ybN0+vIKhoUqlUuHs9GlFX7iEzI1PjXJlypTH3tw9h52QHSNlJrKSQAAlwcLbHvN8/hEfZvGv/iKh4kpwnZa87myuplQBIkFxmQJLszRAZERUlWVlZuHLlSq72K1euqDdq0pXOJQfJycnw9PQEALi7u+PBgweoVq0aAgICcObMGb2CoKJFlmWEL/sdmxfuwMO7jwAAzqWc0GNMR/T/oCesbbJrYwNa1MT3UWHY++0hXDz8NwCgbsvaaPtaCzi6FJNtC4lIa5KVH1D6J4in84H0vVCXH1hVh+Q0HpJdG7PGR2RyXOUgT0OHDsUbb7yBmzdvonHj7PLE48eP45NPPsHQofrdNKpzQlu9enVcvXoVFSpUQGBgIL766itUqFABYWFh8PHx0SsIKjqEEPh81Nf4beU+jfanj5OwYfZPuHLiOmZtnwylVfYMjKOLA7qP7oDuozuYI1wiKmIkKz9I7ssh5MeA6j4guUCyKq/3eEJ1D0g7ACAdsKoO2DTNXsOUyALwprC8ffbZZ/D29sbChQsRHR0NAPDx8cGkSZMwYcIEvcbUOaEdO3as+uLTpk1Dhw4d8N1338HGxgZr167VKwgqOi4evpwrmc0hZIGTO89h/w9H0O51LuVGVJxkqFSQAFgrC6iB1YGkKAW8wK5PQqRCJHwMpO3IGRGADCjLAq5LINkEGiROIjI9hUKB9957D++99556N9oX3WlW54T2tddeU/+5YcOGiIyMxJUrV1C+fHl4eHi8UDBkfr9+vafADRMUCgm/hO1mQktUDAghsPXK31h19jSuPHwAAHjJtyxGNnhJvSOZueIS8eOA9D/w3+er//5fFQ3xeBDgsSV7u1Sioq4YzKgaQ1ZWFg4ePIibN29iwIABAID79+/DxcUFTk5OOo/3QvsiCiFgb2+PBg0avMgwVIRE/n23wA0TZFng7rVoE0ZERMYghMBHB/bih0sXNNaFPR19HyN+Ccekps0xqlGQeYLLPA+k57dDpQwgAyLpK0huC0wZFREZSGRkJDp06ICoqCikp6ejXbt2cHZ2xvz585Geno6wsDCdx9SrEGnVqlWoU6cO7OzsYGdnhzp16uCbb77RZygqYpzdnSBJBS977uDCu5SJXoQQAqfu38PkvbswOHwLJu3ZiaN3IiHy2cbWGPb+cxM/XLqQHc8z7Tm7ji04dgSXH8SZLJ5nibQdKHD5L6iAtN8gRJapQiLSjzDSYeHGjh2LRo0a4cmTJ7C3/y+n6NmzJ/bty7vssTA6z9BOnToVixYtwjvvvIMmTZoAACIiIjB+/HhERUVh5syZegVCRUObV5vh3IFL+Z5XKBVoO7CFCSMiKl4yVSpM2P07frl+FUpJAZWQoZQkbLn8F1qWr4CwLt1gZ2X8XfbWXzgLpSRBlU8SrZQkfHfpAma3CTZ6LLnICSj8p3YmINIASfePJonIvA4fPoxjx47BxkZz19EKFSrg3r17eo2pc0L75ZdfYuXKlejfv7+6rVu3bqhbty7eeecdJrRFWOKjp/ht5V7s/+EIUhJTUb5mWXR5qz3+16UhFIrsyfo2A5rjh0+24cGdh7lKDxRKBRxdHdB1VIg5wicqFhb+eRS/Xr8KAFAJ+d//ZydvR+5EYtrB/ZgfbPy/Y38/iMs3mc2J6WJsjNHjyJOyLFDYBrmSMyBxeUAq2rjKQd5kWc5zZ9m7d+/C2dlZrzF1LjnIzMxU77v7rIYNGyIrix//FFWRl+/ijdrjsfqjH3DrYhRiIx/g9J4LmNbjU3zy+jL1N5a9ox0WHpyBCnWyl9lRWimhtM7+6M+zvAcWHpiO0j7uZnsdRJYsKSMD354/m+/coywEtl7+Cw+Sk40ei42y8PkMO6sXus1Cb5J9bxS8ha4ScHiVy3cRWaj27dtjyZIl6seSJCEpKQnTpk1Dp06d9BpT53+tXn/9dXz55ZdYtGiRRvvXX3+NgQMH6hUEGZdKpcLHXT9B4qOnEPJ/P0plVfYPjAMbj6Bq/YroO7EbAMDTzwNfnv4Ul45cwZm9FyCrZNRuVgONQgLVM7lEpLsz0feRWsgv/iohcPROFHrUqGnUWDpUqYoNF87lO0srAWhfuapRY8iPZFUewnEUkPxFHmeVgNIHkuNwk8dFpDNurJCnzz77DB06dECtWrWQlpaGAQMG4Pr16/Dw8MAPP/yg15h6/fq9atUq7N69G//73/8AZO/uEBUVhUGDBiE0NFTd7/mkl8zj1K7ziP4nNv8OAtiy5Bf0Gt9Zva+yJEkIaFETAS2M+0OVqCTJzOMjtjz7ydr1exGDAutj46XsX1jFcz8hFZIEV1tb9KlZ2+hx5EdyGgsoy0AkfQnIOTenWQF2HSE5T4Gk4CdFVPSx5CBvfn5+OH/+PDZt2oTz588jKSkJb7zxBgYOHKhxk5gudE5oL126pF6m6+bNmwAADw8PeHh44NKl/24mKuxOeTKdi4f+htJaCVVm/j8kH91/grjIh/Cp5GXCyIhKllplPCGh8AmWul7eRo+lops7VnbtiVG//oyUzExIkgQJ2TPEpeztsa57b7ja2Rk9jvxIkgQ4DATsXwWyrmTfAGZVMXvDBiKyWJmZmahRowZ++eUXDBw40GCf7uuc0B44kN/agFRUSZKk3UcU/B2EyKh8nJ0RXKky9t/6J8+P+pWShHrePqhe2jSb1DQv749jw97Etit/43T0fSglCc3K+6NL1eqwNVP97PMkSQlYm2+mmOiFsOQgF2tra6SlpRl8XBZElgB1W9WCKqvgjzA9ypWGZ3nu9EZkbLPbtENZZxconvsUSyFJKGXvgEXt9bshQl/OtrYYFFgfn3fojEUhndC7Zu0ik8wSUfE0evRozJ8/36CLCWj1r1avXr2wdu1auLi4oFevXgX23bp1q0ECI8Np2D4QZav6IPqfWPWNYM/rM76Lun6WiIynjKMjfn71Naw7fxYb/7qAB8nJcLe3R99adTCkXgOUcXA0d4hEZCicoc3TyZMnsW/fPuzevRsBAQFwdNT8d0+fXFKrhNbV1VVdE+vq6qrzRci8FAoFZu+YjAmtp+FJXIJ6pQOllQKqLBnBr7VEz7GmnRUiKslc7ezwblATvBvUxNyhEBGZnJubG3r37m3QMSVhyr0WLVBiYiJcXV2RkJAAFxcXc4fzQp4+ScLO1QdwYOMRJMenoHytsuj6Vghe6lCPN/EREVGxYs6f3znXrj5+LpS2hr25UpWehquLPygWeYkh6VwodevWLWRlZaFqVc31Ca9fvw5ra2tUqFDBULGRgTm7O6HvhK7oO6GruUMhIiKiEkaWZSxYsADbt29HRkYG2rZti2nTpum9VNezdL4pbMiQITh27Fiu9uPHj2PIkCEvHBARERFRsSCMdFioOXPm4IMPPoCTkxPKli2Lzz//HKNHjzbI2DontGfPnkWzZs1ytf/vf//DuXPnDBETERERkeVjQqth/fr1+OKLL7Br1y6Eh4djx44d+O677yDLBW11rR2dE1pJkvD06dNc7QkJCVBpuQsOEREREZUsUVFR6NTpv5vQg4ODIUkS7t+//8Jj65zQtmzZEvPmzdNIXlUqFebNm4fmzZu/cEBERERExUHO1reGPixVVlYW7J7bgdDa2hqZmZkvPLbON4XNnz8fLVu2RPXq1dGiRQsAwOHDh5GYmIj9+/e/cEBEREREVPwIITBkyBDY2tqq29LS0vDWW29prEVrtHVon1WrVi1cuHABy5cvx/nz52Fvb49BgwZhzJgxKFWKe2wTERERAeDGCs8ZPHhwrrbXXnvNIGPrtb+hr68v5s6da5AAiIiIiKj4W7NmjdHG1rmGFgDi4+Oxe/dubNiwAevXr9c4iIiIiKjo1NCuWLECFSpUgJ2dHYKCgnDixIl8+7Zu3RqSJOU6OnfurO4zZMiQXOc7dOigz1tkMDrP0O7YsQMDBw5EUlISXFxcNHaYkiQJgwYNMmiARERERKSfTZs2ITQ0FGFhYQgKCsKSJUsQEhKCq1evwtPTM1f/rVu3IiMjQ/340aNHCAwMRN++fTX6dejQQWPG9dm6WHPQeYZ2woQJGDZsGJKSkhAfH48nT56oj8ePHxsjRiIiIiLLY8R1aBMTEzWO9PT0PENYtGgRRowYgaFDh6JWrVoICwuDg4MDVq9enWf/UqVKwdvbW33s2bMHDg4OuRJaW1tbjX7u7u76vksGoXNCe+/ePbz77rtwcHAwRjxERERExYMRE1o/Pz+4urqqj3nz5uW6fEZGBk6fPo3g4GB1m0KhQHBwMCIiIrR6CatWrcKrr76qsQoBABw8eBCenp6oXr06Ro0ahUePHmk1nrHoXHIQEhKCU6dOoVKlSsaIh4iIiIgKcefOHbi4uKgf5/WR/8OHD6FSqeDl5aXR7uXlhStXrhR6jRMnTuDSpUtYtWqVRnuHDh3Qq1cvVKxYETdv3sQHH3yAjh07IiIiAkqlUs9X9GJ0Tmg7d+6MSZMm4e+//0ZAQACsra01znfr1s1gwRERERFZKunfw9BjAoCLi4tGQmsMq1atQkBAABo3bqzR/uqrr6r/HBAQgLp166Jy5co4ePAg2rZta9SY8qNzycGIESNw584dzJw5E3379kWPHj3UR8+ePY0RowZd7tQDgM2bN6NGjRqws7NDQEAAfvvtN6PHSERERGRuHh4eUCqViI2N1WiPjY2Ft7d3gc9NTk7Gxo0b8cYbbxR6nUqVKsHDwwM3btx4oXhfhM4JrSzL+R7PbodrDDl36k2bNg1nzpxBYGAgQkJCEBcXl2f/Y8eOoX///njjjTdw9uxZdeJ96dIlo8ZJREREZMwaWm3Y2NigYcOG2Ldvn7pNlmXs27cPTZo0KfC5mzdvRnp6ulYbH9y9exePHj2Cj4+P9sEZmF7r0JqLrnfqff755+jQoQMmTZqEmjVrYtasWWjQoAGWL19u4siJiIiITC80NBQrV67EunXrcPnyZYwaNQrJyckYOnQoAGDQoEGYMmVKruetWrUKPXr0QOnSpTXak5KSMGnSJPz555+4ffs29u3bh+7du6NKlSoICQkxyWvKi1Y1tEuXLsXIkSNhZ2eHpUuXFtj33XffNUhgz8u5U+/ZN72wO/UiIiIQGhqq0RYSEoLw8PB8r5Oenq6x9EViYuKLBU5EREQlkr4bIRQ2pi5eeeUVPHjwAFOnTkVMTAzq1auHnTt3qm8Ui4qKgkKhOb959epVHDlyBLt37841nlKpxIULF7Bu3TrEx8fD19cX7du3x6xZs8y6Fq1WCe3ixYsxcOBA2NnZYfHixfn2kyTJaAmtPnfqxcTE5Nk/JiYm3+vMmzcPM2bMePGAiYiIiIqAMWPGYMyYMXmeO3jwYK626tWrQ4i8M2d7e3vs2rXLkOEZhFYJ7a1bt/L8c3E0ZcoUjVndxMRE+Pn5mTEiIiIiskg61rxqPSblolMNbWZmJipXrozLly8bK5586XOnnre3t8539tna2qqXwjDFkhhERERUjJnphrCSRqeE1traGmlpacaKpUD63KnXpEkTjf4AsGfPnkLv7CMiIiIiy6HzKgejR4/G/PnzkZWVZYx4CqTrnXpjx47Fzp07sXDhQly5cgXTp0/HqVOn8q0jISIiIjKUnJvCDH1QbjrvFHby5Ens27cPu3fvRkBAQK69fbdu3Wqw4J6n6516TZs2xffff4+PPvoIH3zwAapWrYrw8HDUqVPHaDESERERkWnpnNC6ubmhd+/exohFK7reqde3b1/07dvXyFERERERPYc3hZmMzgntmjVrjBEHEREREZFetE5oZVnGggULsH37dmRkZKBt27aYNm0a7O3tjRkfERGRUQmRBqTugEjdDojHgNIfksMrgE1LSJJk7vDIghWFjRVKCq1vCpszZw4++OADODk5oWzZsvj8888xevRoY8ZGRVhGWgYexzxBRlqGuUMhItKbUMVBPOwOkfghkHkCyLoOpB+AeDICIv5dCJFp7hCJSAtaJ7Tr16/HF198gV27diE8PBw7duzAd999B1mWjRkfFTHRt2Lx2bAV6O42GK/4jkR310H4ZNBS3L0ebe7QiIh0JuLHAaqonEf//l+V/b/03RBJX5ghKio2DL0GLdeizZfWCW1UVBQ6deqkfhwcHAxJknD//n2jBEZFT9SVexjd6H3s3XAIWRnZy7ZlZapwcONRjH7pffxzIdLMERIRaU9k/g1knoI6gc3dA0j5FkKkmzIsItKD1gltVlYW7OzsNNqsra2RmcmPY3SR+PgpNn36M96sNxEDK4zC5A6zcTT8hEXMdC8eGYbkxFSosjRjVWXJSEtOx4KhK8wUGRGRHjL+RKE/BkUikHXNJOFQ8cN1aE1H65vChBAYMmQIbG1t1W1paWl46623NNaiNeY6tJbu7rX7CG09DfFxCRBy9nfkw3uPcXr3ebTs8z988P04KK2UZo4yb5GX7+LSkSv5npdVMm6cvYXrZ/5B1QaVTBgZEZG+tMwMRNGfcKAiist2mYzWM7SDBw+Gp6cnXF1d1cdrr70GX19fjTbKmyzL+Lj7fCQ8TFQns0B2IggAh7f8iU2f/myu8AoV9fddrfrd/uuOkSMhIjIQ6/oACklWJXvAqqpJwiEi/Wk9Q8v1Z1/Muf2XcPdq/vXGQgDblv6GfpO6wcpa5+WBjc7O0bbwTgDsHO0K70REVBRY1wesav5bUpBXHa0CsH8VksLB1JFRccEZWpPReoaWXsyFQ38XWk4QH5eA+zdjTRSRbgJa1oKDS8FrDtva26BBcICJIiIiejGSJEFyWwYoSkPzx+G/f7Z5CZLzeHOERkQ6YkJrItouzl1U1/C2c7DFK+/1yL+DBPQa1xmOLpzJICLLIVmVh+TxCySn8YCyUnZya10Xkut8SO6rIUn81In0x5vCTIcJrYnUbVULqqz8lobJ5u7tBt/K3iaKSHevTu6B3uO7ABKgUCqgtFJCocz+Fur6VnsMnvmKmSMkItKdpHCD5PQmFGV2QuEZAUXpHyHZ94QkWZs7NCLSUtEr1iym6rWpA/9a5XD32v1cy14ByJ7hHNu5yK5yAAAKhQJvLRyM7qM7YO+3h/Dw3iO4e7sh+PVWKFfVx9zhERERFS2soTUZJrQmIkkSZv78PkJbTcXj6HgIkf0dqVAqIKtktO7XFH0ndjVzlNrxqeSF16f1NXcYRERERACY0JqUb2VvfHNpMXatOYB93x9GcnwK/GqWRdc326FxpwZa19kSERFR0ScJAUkYdkrV0OMVF0xoTczJzRG9x3fJrkUlIiKi4oslBybDm8KIiIiIyKJxhpaIiIjICIyxzBaX7cobZ2iJiIiIyKJxhpaIiIjIGFhDazKcoSUiIiIii8YZWiIiIiIjYA2t6XCGloiIiIgsGmdoiYiIiIyBNbQmw4SWiKiEEqpoQBULKEpBsipv7nCIih2WHJgOE1oiohJGZP4F8XQ+kPHnf23WgZCc34Nk85IZIyMi0g9raImIShCReQHi0atAxgnNE5kXIR4Pgkg/ap7AiIojYaSDcuEMLallpGXgj80ROLDxKBIfPUW5aj7oNDwYAS1qQpIkc4dHRAYgEqYDyAQgP3dGBiBBJHwIlNkPSeJ8BxFZDia0BAB4HPMEk9rOQNTle1AoJMiywI0z/2DfhsPoMKwNxn/9FhQK/oAjsmQi8xqQdamgHoB8H8g4Dtg2MVlcRMUZa15NgxkKAQBm9l2Eu9ejAQCynP23T5WVPYOzc/UBbFn0i9liIyIDUd0xbD8ioiKCCS3h2umb+OvoFchZz38E+Z/NC7dDlaUyYVREZHAKV8P2I6KCCWGcg3JhQks4vfsCFMqCvxWexCYg6so9E0VEREZhXR9QeBbcR3IAbFuaJh4iIgNhQkuQVTK0ueeLM7RElk2SlJCcJxTcx+kdSJK9iSIiKt5y1qE19EG58aYwQs0m1dT1svlxcLaHX3VfE0VERMYi2fcERBrE008AkQpAiewVDqwhOY0BHIaZOUKiYoQ7hZkME1pC/ZfroFw1H9y/GQtZlTuxVSgkdHmzHWztbc0QHREZmuTQH7DrBqTvBlQxgMIDsGsPibWzRGShWHJAkCQJ07ZMgpObo0YtraTIrkOo3bwGBs3oZ67wiMgIJIUjJPuekJxGQXLoy2SWyAgk2TgH5cYZWgIAVKjth68vLMT2FTuxd8MhJCekwLeyF7q82R7tBreCtY21uUMkIiIiyhMTWlIr7eOOobP7Y+js/uYOhYiIyPKxhtZkmNASEVGxIYQMZP0NyImAsjwkq3LmDomITIAJLRERFQsidQdE0iJA9d+a2ULyAGyDIDkMAKwbQdJmjUIiAzHGMltctitvvCmMiMhMTty7i5E7wlH7i6Wo9cXneH3bZuy/9Y+5w7JIIuV7iIQJGsls9omHQNqvEI8HQjweBCE/NU+ARGa0YsUKVKhQAXZ2dggKCsKJEyfy7bt27VpIkqRx2NnZafQRQmDq1Knw8fGBvb09goODcf36dWO/jAIxoSUiMoP158/i1S2bcOD2P0jNykRaVhb+vHsHw3dsw6KIo+YOz6II+SlE4rzCO2aehIgPNX5ARDmKwNa3mzZtQmhoKKZNm4YzZ84gMDAQISEhiIuLy/c5Li4uiI6OVh+RkZEa5z/99FMsXboUYWFhOH78OBwdHRESEoK0tDS93iZDYEJLRGRi1x49xIw/9gMAVM/8cMr58/KTf+Loncg8n0t5SPsdQIYWHWUg4w+IzKvGjogIQNHYKWzRokUYMWIEhg4dilq1aiEsLAwODg5YvXp1/nFLEry9vdWHl5eX+pwQAkuWLMFHH32E7t27o27duli/fj3u37+P8PBwPd+pF8eElojIxDZcOAdFAbWcSknC+vNnTRiRZROq+8je8UwbSiB9vzHDITKJxMREjSM9PT1Xn4yMDJw+fRrBwcHqNoVCgeDgYEREROQ7dlJSEvz9/eHn54fu3bvjr7/+Up+7desWYmJiNMZ0dXVFUFBQgWMaGxNaIiITOxNzX2Nm9nkqIXA2OtqEEVk2SeEOQKVtbwhhvo9FqYQRRjoA+Pn5wdXVVX3Mm5e77Obhw4dQqVQaM6wA4OXlhZiYmDxDrl69OlavXo2ff/4ZGzZsgCzLaNq0Ke7evQsA6ufpMqYpcJUDIiITs1YUPptopeR8g9bsOgBP50G7BTqzIFlVM3ZEREZ3584duLi4qB/b2hpme/omTZqgSZMm6sdNmzZFzZo18dVXX2HWrFkGuYYxMKElIjKxlytWwsW4WMj5zNIqJQkvV6iE/bf+QcTdKMhCoKFPWbSrVBnWSm0/Wi85JKUXhMNQIGVVYT0ByQ2wa2eKsIiMumyXi4uLRkKbFw8PDyiVSsTGxmq0x8bGwtvbW6vrWVtbo379+rhx4wYAqJ8XGxsLHx8fjTHr1aun5aswPE4BEBGZ2Ku168LOyirPOtqcloO3b2H4jm1Yd/4svr1wDmN+34EWa1fiUlxsrucQIDlPAhzfApDfNt1KAFaQ3BZDkmxMGBmR+djY2KBhw4bYt2+fuk2WZezbt09jFrYgKpUKFy9eVCevFStWhLe3t8aYiYmJOH78uNZjGgMTWiIiEyvj6Ig13XvB3soaz6a0CkmClUIBJxsbxCYnAQCyZBlZsgwAeJiSgoFbNyMmiWupPk+SFFA4h0LyPAo4TwdsmgNw/PesErBtD6n0Zki2Tc0YJZU4RWDZrtDQUKxcuRLr1q3D5cuXMWrUKCQnJ2Po0KEAgEGDBmHKlCnq/jNnzsTu3bvxzz//4MyZM3jttdcQGRmJ4cOHA8heAWHcuHGYPXs2tm/fjosXL2LQoEHw9fVFjx49DPbW6YolB0REZvCSbzkcHjocP/39F47eiYIsZDTyLQsJwOI/j+VZDSoLgeTMDHx38TwmNGlu6pAtgqRwg+Q4AHAcACEEIJIByRaSlN/MLVHx9sorr+DBgweYOnUqYmJiUK9ePezcuVN9U1dUVBQUiv/mN588eYIRI0YgJiYG7u7uaNiwIY4dO4ZatWqp+7z33ntITk7GyJEjER8fj+bNm2Pnzp25NmAwJUkIHVP9EiYxMRGurq5ISEgotFaFiOhF9du8Eaej7xV4e1N5F1ccHDLcZDEVd0IVC6TtAkQioCwP2LWHJJnvBzMZhjl/fudcu0nHmbCyNuz3UlZmGiJ+n8q85DmcoSUiKkKSMtMLvVc/OTPTJLEUd0KoIJ7OA1I2IHuFBCWALCDRCXCZCcm+i5kjJIv3zDJbBh2TcmENLRFREVKttAeUBWy6oJAkVC1d2oQRFV/i6SdAyrcAZGRnCVn/nkiCSJgAkXbAjNERkS6Y0BIRFSEDAwIL3HRBFgKvBdQzXUDFlFDF/ZvM5v9ei6QlJouHiqeisPVtScGEloioCHnJtxwGB9YHAOQ1T9u5anV0qFLVtEEVR2m7UfBntwLIugyRFWmqiIjoBbCGloioiJnasg2ql/bA12dO4nZ8PADAx8kZQ+s1wNB6DfJcv5Z0JBKhrpktsF+CKaKh4koW2Yehx6RcmNASERUxkiTh1Tp18UrtADxISYYsBDwdnZjIGpKyPApNZqEAFGVNEQ0RvSAmtCWcEAIXDv2Ns3svQqWSUatJNTTuVB9Kbq9JZHaSJMHT0cncYRRPdsFAojMgkpB36YESsG0DSckb8OgFcJUDk2FCW4LFRT3Ax93n45/zkVBaKQEJUGWq4FneAzPC30OVehXNHSIRkVFIkh3gMhMiIRTZ1crPZglKQHKC5Py+maIjIl3xprASKi0lHRNfnoHIv+4AAFRZKqgyVQCAh/ceY9LLM/Dw3iNzhkhEZFSSfWdI7l8DVjWfaVVkz8yW3gLJyt9ssVHxIMEIqxyY+0UVUZyhLaEO/HAE0f/E5nlOVslIeZqKn1fswhtzB5g4MiIi05FsW0GybQWRFZV9o5jCh2UGZDhCZB+GHpNy4QxtCXVw0zFIBdxgIqtk7P/+sAkjIiIyH8mqPCTrOkxmiSwUZ2hLqKQnSRCF/JaX8jTVRNEQEREVP8bYCIEbK+SNM7QlVPla5aC0yv/LLykklKvma8KIiIiIiPTDhLaE6jyyHVRZcr7nhSzQbVSICSOikixLlnEvMRExSU8L/eSAiMhiCCMdlAtLDkqo2k2ro9vbIdj+xa5c5ySFhEbtA/HygOZmiIxKkgyVCl+dPoF158/icWp2iUtl91J4q1Fj9KpRq8A6byIiohxMaEsoSZIwZtkbKF+zHH78bDviIh8AAFw9nNF9TEe8OrlH9tq0REaSqVJhxI5tOBIVBfHMlMM/Tx5j0p6duB3/BBOa8JcqIrJckhCQDPypk6HHKy6Y0JZgkiSh++gO6DqqPWJvP4AqSwXvip6wsua3BRnflst/4XBUZK72nH+qV5w8jk5VqqFmGU/TBkZERBaHNbQEhUIBn0peKFfNl8ksmcy3F84VuEC4UpLww6ULJouHiMjgZCMdlAuzFyIyi1vxTwq8t0ElBK4/5m51RGS5WHJgOpyhJQ1CCKSnpkOW+SsgGZe9lXWB5xUAnG1sTRMMERFZNCa0BABITkjGummb0Nd7OLo4vobODgMxf/AyRP59x9yhUTHVtVp1KAvarQ5Ap6rVTBcQEZGhcdkuk2FCS3j6JAljm32E7+duRcKDRABAVkYWDvxwBG+/NBmXjl4xc4RUHA2t1xC2Siso8khqlZKECm5u6FiFCS0RERWOCS1h1ZTvcefqfcgqzTIDVZaMzLQMTO0+H6nJaWaKjoorfzc3rO/ZB+52dgAAK4UCVlL2P0nVSnvgu579YGvFMn8ismBCGOegXPjTooRLTkzB7vUHcyWzOYQAnj5OQj/v4Rg2ZwB6vNORi92TwTTw8cXRYW9i983rOB8bA6VCgVblK+B/5fz4fUZERFpjQlvCRd+MRWZaZqH90pLT8cW4NUhNSsOAD3qZIDIqKWyUSnSpVgNdqtUwdyhERAYliezD0GNSbiw5KOGs7Qq+0/x53874EYmPnhopGiIiIiLdMaEt4fyq+8KrQhkUuML9M1RZMg5uOmbcoIgMQCXLyOLyc0RkTqyhNRmWHJRwCoUCAz/sjUUjwrTrb6XA4+gnRo6KSH+HIm9j5ZmTOHYnCgJA7TKeGFqvAXrWqMW6XCKiYooztIQOw17GoGn9tOorZ8ko5eNu5IiI9LP67GkM+XkL/rx7R71U4+UHDzBxz058sH8PBGc2DE4IFd9XonxIsnEOyo0JLUGSJLw+rS/WXV8G74qeBZYfKK0UaP1KU9MFR6SlG48fYfbhgwCyt83NIf+b2m766yJ23bxhhsiKHyHSIZLXQH4QDBFbEyK2LuT4SRCZV80dGlHRwpIDk2FCS2q+lb0xdfMEWNtaQ6HIO6t9fVo/uJR2NnFkRIX7/uL5AnceU0oS1l84a8KIiich0iAeD4F4+gmgytlJMB1I+wXiUS+I9KNmjY+ISiYmtCVIWko6Up6mFvjxYNUGlfDZ/unwq1lOo93JzRGjFg1B/yk9jR0mkV4uxsVqzMw+TyUELsXFmjCi4kkkfQVknkXuPThVALIg4t+FENyIhQgAt741Id4UVgIc+/kkNn4ajssR1wAAZav6oNfYzuj8ZjCUSmWu/rX+Vw0rLyzEtVM3ce9GDBxdHVD/5TqwsbMxdehEWrNVWkFCwf/W2+bx/U7aEyITSPkOQH5FfAIQT4G03wF7/vJLRKbDhLaY2zg/HKumfKdRQnD/RgyWjfkGmz4Nh52jLeyd7NCidxN0fONldTmBJEmo/lIVVH+pirlCJ9JJcKXKiLgble95pSShfeWqJoyoGJIfACK+kE5WEJl/Q2JCSwRJCEgGrnk19HjFBUsOirHbf93BqinfAQBk+b+/ADklB3FRDxF1+R6unryJVR98h6E1xuKfC5FmiZXoRfWqWRvudvZ51tFKyP4lbUhgA9MHVqxouRGLxE9ziMi0mNAWY79+tQcKK+2+xEIWSIpPxged5iAzo/CtcImKGhdbW3zbqy/c7e0BAApJgkKSICG7HCGsc3dULV3avEFaOoUHYFUDBe/EkgXJtrWJAiIq4rjKgcmw5KAYu3HuFuQs7Resk1UyHt1/gsNbjuPl/s2NGBmRcdT0KINDQ4bjl2tXcTgqEipZRn0fX/SuWQtudvbmDs/iSZIEOI2CiB+bTw8lYFULsG5k0riIiJjQFmN2DraQJEmnRc+VVkqcP3CJCS1ZLDsra/SpVQd9atUxdyjFkmTXEXC6C5H0GbI/5FMBUGb/36oyJPcw7shGlEMg/3soX2RMyoUJbTHWrGcQTu05r+OzBD/NIKICSU4jALsQiNQfgax/AMkBkl0HwLY1JIk/Vohy8KYw07GYGtrHjx9j4MCBcHFxgZubG9544w0kJSUV+JzWrVtDkiSN46233jJRxObXdmBzlPZxh0Kp/ZdZlSWjTvMaRoyKiIoDyao8FM4ToXD/Agq3zyDZBTOZJSKzsZiEduDAgfjrr7+wZ88e/PLLLzh06BBGjhxZ6PNGjBiB6Oho9fHpp5+aINqiwd7JHgv2TUOZctk3wiitlJDy2QEMABQKBVxKO6NVvyamCpGIiKj4EjDCTWHmflFFk0X8On358mXs3LkTJ0+eRKNG2TcbLFu2DJ06dcJnn30GX1/ffJ/r4OAAb29vU4Va5PhVL4u115bi2M8ncWrXeWRlZeH+jVj8dfQKFEoFZFV2cY9CqYCtgw1m/zIFtva2Zo6ayLKlZ2XhcNRtPE5NRVkXF/yvrB+UCouZPyAisjgWkdBGRETAzc1NncwCQHBwMBQKBY4fP46ePfNfwPu7777Dhg0b4O3tja5du+Ljjz+Gg4NDvv3T09ORnp6ufpyYmGiYF2FGVtZWaNmnCVr2yZ55FULgxG9nsP2LXbh5/jbsHO3Qss//0HVUiHo2l4j0s/78WSyMOIqnGf/9O+Lj5IzZLwejTYVKZoyMiEzOGMtssYY2TxaR0MbExMDT01OjzcrKCqVKlUJMTEy+zxswYAD8/f3h6+uLCxcu4P3338fVq1exdevWfJ8zb948zJgxw2CxF0WSJCGoc0MEdW5o7lCIipW1585g5qEDudpjkp5ixI5wrO3eG83L+5shMiKi4s2sn4FNnjw5101bzx9XrlzRe/yRI0ciJCQEAQEBGDhwINavX49t27bh5s2b+T5nypQpSEhIUB937tzR+/pEVHIkZ2RgwbEjeZ7LLqMTmHvkoE7L6BGRhZONdFAuZp2hnTBhAoYMGVJgn0qVKsHb2xtxcXEa7VlZWXj8+LFO9bFBQUEAgBs3bqBy5cp59rG1tYWtLWtIiUg3+27dRGpW/rvsCQBXHj7E9cePUK20h+kCIyIqAcya0JYpUwZlypQptF+TJk0QHx+P06dPo2HD7I/J9+/fD1mW1UmqNs6dOwcA8PHx0SteIqL8PExJgUKSIBcyA/swJQXVWKpOVCJwHVrTsYjbbmvWrIkOHTpgxIgROHHiBI4ePYoxY8bg1VdfVa9wcO/ePdSoUQMnTpwAANy8eROzZs3C6dOncfv2bWzfvh2DBg1Cy5YtUbduXXO+HCIqhrydnApNZnP6EVEJYfAlu/S7yWzFihWoUKEC7OzsEBQUpM6V8rJy5Uq0aNEC7u7ucHd3R3BwcK7+Q4YMyVUi2qFDB53jMiSLSGiB7NUKatSogbZt26JTp05o3rw5vv76a/X5zMxMXL16FSkpKQAAGxsb7N27F+3bt0eNGjUwYcIE9O7dGzt27DDXSyCiYqxtxcpwtrHJ97xCkhDo5Y1K7qVMGBURlXSbNm1CaGgopk2bhjNnziAwMBAhISG5SjlzHDx4EP3798eBAwcQEREBPz8/tG/fHvfu3dPo16FDB411/n/44QdTvJx8SYJ3KBQoMTERrq6uSEhIgIuLi7nDAQDIsozM9EzY2Nlwz3SiImTz35fw/t5dudoVkgSlJOH73v3Q0KesGSIjKnnM+fM759pta02EldKw9+VkqdKx7+/PtH5dQUFBeOmll7B8+XIA2TmEn58f3nnnHUyePLnQ56tUKri7u2P58uUYNGgQgOwZ2vj4eISHh7/QazEki5mhJeD+zRgsHhmGrs6vo4vja+jtMRTfTN6AhIeWv1YuUXHQt1YdLA7plKusoGqp0tjQqy+TWSIymMTERI3j2TX0c2RkZOD06dMIDg5WtykUCgQHByMiIkKr66SkpCAzMxOlSml+unTw4EF4enqievXqGDVqFB49evRiL+gFWcQ6tATcOHcLE1pPQ3pKOlRZ2Wt2PH2SjM0Ld+Dgj8ew9NgclPJ2N3OURNS9ek10qVodZ2Lu40lqKso6u6BWGU9+mkJUEhlxYwU/Pz+N5mnTpmH69OkabQ8fPoRKpYKXl5dGu5eXl9bLor7//vvw9fXVSIo7dOiAXr16oWLFirh58yY++OADdOzYEREREVAqlXq8qBfHhNYCCCEwd8ASpCWnq7eqzSGrZDy8+whfjF2DjzaFmilCInqWUqHAS77lzB0GERVjd+7c0Sg5MMaSo5988gk2btyIgwcPws7OTt3+6quvqv8cEBCAunXronLlyjh48CDatm1r8Di0wZIDC3DpyBXcuXI/VzKbQ5Ul4/DW43gc88TEkREREVG+jLixgouLi8aRV0Lr4eEBpVKJ2NhYjfbY2NhC1/H/7LPP8Mknn2D37t2Frg5VqVIleHh44MaNGwX2MyYmtBbg5rnbkBQFf1wpq2RE/n3XRBERERFRUWdjY4OGDRti37596jZZlrFv3z40adIk3+d9+umnmDVrFnbu3IlGjRoVep27d+/i0aNHZl3nnyUHFsDGzhpCLrwGx8Yu/yWDiIiIyLSKwsYKoaGhGDx4MBo1aoTGjRtjyZIlSE5OxtChQwEAgwYNQtmyZTFv3jwAwPz58zF16lR8//33qFChAmJiYgAATk5OcHJywv/bu/eoqMq9D+DfzchwG0AR5JLcElIslcILqKUWiear0ilCKwXztVTw4MJb+qqY2tJjerJjLi/ZEk/hweqkdDimGUn6KuIVlY6geHShJN6Qq8nAzPP+4cvOiRGhMzObge9nrVk5ez+z9/fZKv565tn7qa6uxnvvvYdXXnkFXl5euHjxIubOnYugoCBERUWZtK8twYLWCvQb+TQkG6nJotbV3Rnd+xlfzpeIiIgUYMabwporNjYWN2/exOLFi1FaWorQ0FDs2bNHvlGsuLgYNja/fmG/YcMGaLVavPrqqwbHabjpTKVS4cyZM9i2bRvKy8vh4+OD4cOHY9myZWaZx9tcLGitgEfXzoh88zl8//mBhxa1sfNeRgdb/nYSERGRocTERCQmJhrdl52dbfD+8uXLTR7LwcEBe/c2ft620lgBWYmkDVNQWVaN3MwTUHVQQa/Xw8ZGgq5ej1dmjsKryf+ldEQiIiJ6kF4AkolHaJsxBbE9YkFrJewc7LAsYx7OHTmP7z8/iMrblfD088DwScPgH8LHAxEREVH7xYLWikiShJ4R3dEzorvSUYiIiOhRWsEc2vaCj+0iIiIiIqvGEVoiIiIiszDDCC04QmsMR2iJiIiIyKpxhJaIiIwSQgC6i4DuNqDyhNQhQOlIRNaFc2gthgUtERE1ImoPQ1StBOoLft1mGwrJeQEkdahywYisiV7A5FME+NguozjlgIiIDIjabIg7bwH1hYY76s5AlL0BoT2pTDAioodgQUtERDIhdBAVi3F/VOm3I0F6ADqIyiWWjkVknYTePC9qhAUtERH9SpsL6Evx8K9J9UB9AUTdOUumIiJqEgtaIiL6la7EtO2I2rOGm8JM/aJGWNASEdGvbDo2s10ns8YgImoJPuWAiMgK/FJXh6I7ZVBJEoLdOsNWpTLPieyeBSQNIKof3sbGC7ANNc/5idoSPuXAYljQEhG1Yvfq6/DnnEPYnn8Gd+vqAACd7B0w+ekwvBPWDyob037RJkn2gGYmRNXyh7dxngNJMlNBTUT0O7CgJSJqpbQ6HeJ3fY3j10qgf2De3J17v2B1zv/iYtltrB4+EpIkmfbEjhMgQQdRtRbAL7g/O00PSBpIzv8DyWG0ac9H1FZxYQWLYUFLRNRK7Tz3E47+fPXh+wvPIebJXgjv6mvS80qSBDhNAhxigNofAP2t+9MM7J+/P4JLRM0jYIaC1rSHaytY0BIRtVJp+Wcg4eH/fqkkCen5Z0xe0DaQbDSAwxizHJuIyJRY0BIRtVLFFeVNDsbohMCl8jsWy0NELcQpBxbDx3YREbVSrnZNf71vI0noaM8pAERELGiJiFqp6B4hsGnihi+9EIju3tOCiYioRfR687yoERa0RESt1Ju9Q9HJ3gEqI0WtSpIQ1MkNLwU/oUAyIqLWhQUtEVEr5eHohB2vxiKw4/1VuVSSJI/YPuPtg7Q/vAa7DrwVgqjV4tK3FsOfhERErdjjndyw98145JZcxclrP0NlI2GQrz+e6uKpdDQiolaDBS0RWTWtToebNTWw69AB7o6OSscxC0mSEN7V12yP5yIiM+FTDiyGBS0RWaUarRYfHzuC7WfPoEpbCwDo3cUTif3DEfl4kMLpiIgA6AVMvhKCngWtMZxDS0RW525dHV7/+gt8cvK4XMwCQP7NG3g7MwN/PX1KwXRERGRpLGiJyOp8euo4frp5A/rffPXW8H7Zgf24Xl2tRDQiIpkQerO8qDEWtERkVYQQ+PxMXqNi1qANgK/O5VsuFBERKYpzaInIqtytq8PNu3cf2a6orMwCaYiImiCE6ee88qYwozhCS0RWRa1SNbl6FgBIkOBoa2uhREREpDQWtERkVWxVKkQGdjO6elYDndBjZBBX0CIihXFhBYthQUtEVmdavwGQJAnGSlqVJCHUyxsDff0snouIiJTBgpaIrE4fTy9sHDUWjrZqAEAHGxuopPs/zp7x9sGno19+5LQEIiKz0+vN86JGeFMYEVml5wMfR+5/T0Xm+QIU3L4FO5UKwx8PQqiXNyQWs0TUGggzLKzAKQdGsaAlIqvlaGuL157spXQMIiJSGAtaIiIiIjMQej2EZNopAlxYwTjOoSUiIiIiq8YRWiIiIiJz4Bxai+EILRERERFZNY7QEhEREZmDXgASR2gtgSO0RERERGTVOEJLREREZA5CADDxUwk4QmsUR2iJiIiIyKpxhJaIiIjIDIReQJh4Dq3gCK1RLGiJiIiIzEHoYfopB1xYwRhOOSAiIiIiq8aCloiIiMgMhF6Y5dVS69evR0BAAOzt7TFgwAAcPXq0yfZffvklevToAXt7e/Tq1Qu7d+827JcQWLx4Mby9veHg4IDIyEhcuHChxblMiQUtERERURu1Y8cOJCcnIyUlBSdPnkSfPn0QFRWFGzduGG1/+PBhjB8/HpMnT8apU6cQHR2N6Oho5Ofny21WrVqFv/zlL9i4cSNyc3Ph5OSEqKgo3Lt3z1LdakQSnF3cpMrKSri6uqKiogIuLi5KxyEiIqJmUPLf74ZzD8VYdJBsTXrselGHbGQ0u18DBgxAv3798PHHHwMA9Ho9fH19MWPGDLz77ruN2sfGxqKmpgaZmZnytvDwcISGhmLjxo0QQsDHxwezZs3C7NmzAQAVFRXw9PREamoqxo0bZ6KetgxvCnuEhnq/srJS4SRERETUXA3/bis5blePOsDEp69HHYDGdYmdnR3s7OwMtmm1Wpw4cQLz58+Xt9nY2CAyMhI5OTlGj5+Tk4Pk5GSDbVFRUdi1axcA4NKlSygtLUVkZKS839XVFQMGDEBOTg4L2taqqqoKAODr66twEiIiImqpqqoquLq6WvScarUaXl5e+N/S3Y9u/DtoNJpGdUlKSgqWLFlisO3WrVvQ6XTw9PQ02O7p6YmCggKjxy4tLTXavrS0VN7fsO1hbZTAgvYRfHx8cOXKFTg7O0OSpP/oWJWVlfD19cWVK1fa5fSF9t5/gNeA/W/f/Qd4Ddh/y/VfCIGqqir4+PiY9TzG2Nvb49KlS9BqtWY5vhCiUU3y29HZ9oYF7SPY2Niga9euJj2mi4tLu/xB1qC99x/gNWD/23f/AV4D9t8y/bf0yOyD7O3tYW9vr9j5AcDd3R0qlQrXr1832H79+nV4eXkZ/YyXl1eT7Rv+e/36dXh7exu0CQ0NNWH6luFTDoiIiIjaILVajbCwMGRlZcnb9Ho9srKyEBERYfQzERERBu0BYN++fXL7wMBAeHl5GbSprKxEbm7uQ49pCRyhJSIiImqjkpOTERcXh759+6J///5Yu3YtampqMGnSJADAxIkT8dhjj2HFihUAgKSkJAwZMgRr1qzBqFGjkJ6ejuPHj2Pz5s0AAEmSMHPmTCxfvhzBwcEIDAzEokWL4OPjg+joaKW6yYLWkuzs7JCSktJu57m09/4DvAbsf/vuP8BrwP637/4rITY2Fjdv3sTixYtRWlqK0NBQ7NmzR76pq7i4GDY2v35hP3DgQGzfvh0LFy7EggULEBwcjF27duGpp56S28ydOxc1NTV4++23UV5ejsGDB2PPnj2KTrHgc2iJiIiIyKpxDi0RERERWTUWtERERERk1VjQEhEREZFVY0FLRERERFaNBa1CxowZAz8/P9jb28Pb2xsTJkzAzz//rHQsi7l8+TImT56MwMBAODg4oFu3bkhJSTHbqiqt0fvvv4+BAwfC0dERHTt2VDqORaxfvx4BAQGwt7fHgAEDcPToUaUjWcSBAwcwevRo+Pj4QJIkeU309mLFihXo168fnJ2d0aVLF0RHR6OwsFDpWBa1YcMG9O7dW15QICIiAt9++63SsRSzcuVK+fFPRKbAglYhw4YNwxdffIHCwkL8/e9/x8WLF/Hqq68qHctiCgoKoNfrsWnTJvz000/48MMPsXHjRixYsEDpaBaj1WoRExODadOmKR3FInbs2IHk5GSkpKTg5MmT6NOnD6KionDjxg2lo5ldTU0N+vTpg/Xr1ysdRRE//vgjEhIScOTIEezbtw91dXUYPnw4ampqlI5mMV27dsXKlStx4sQJHD9+HM8//zzGjh2Ln376SeloFnfs2DFs2rQJvXv3VjoKtSWCWoWMjAwhSZLQarVKR1HMqlWrRGBgoNIxLG7r1q3C1dVV6Rhm179/f5GQkCC/1+l0wsfHR6xYsULBVJYHQOzcuVPpGIq6ceOGACB+/PFHpaMoqlOnTmLLli1Kx7CoqqoqERwcLPbt2yeGDBkikpKSlI5EbQRHaFuBsrIypKWlYeDAgbC1tVU6jmIqKirg5uamdAwyA61WixMnTiAyMlLeZmNjg8jISOTk5CiYjJRQUVEBAO3277tOp0N6ejpqamoUXSpUCQkJCRg1apTBzwIiU2BBq6B58+bByckJnTt3RnFxMTIyMpSOpJiioiKsW7cO77zzjtJRyAxu3boFnU4nr0zTwNPTE6WlpQqlIiXo9XrMnDkTgwYNMlh5qD04e/YsNBoN7OzsMHXqVOzcuRM9e/ZUOpbFpKen4+TJk/ISq0SmxILWhN59911IktTkq6CgQG4/Z84cnDp1Ct999x1UKhUmTpwIYeULt7X0GgBASUkJRowYgZiYGEyZMkWh5Kbxe/pP1J4kJCQgPz8f6enpSkexuO7duyMvLw+5ubmYNm0a4uLi8K9//UvpWBZx5coVJCUlIS0tTdHlUant4tK3JnTz5k3cvn27yTaPP/441Gp1o+1Xr16Fr68vDh8+bNVfQbX0Gvz8888YOnQowsPDkZqaarCetDX6PX8GUlNTMXPmTJSXl5s5nXK0Wi0cHR3x1VdfITo6Wt4eFxeH8vLydvXthCRJ2Llzp8F1aC8SExORkZGBAwcOIDAwUOk4iouMjES3bt2wadMmpaOY3a5du/Dyyy9DpVLJ23Q6HSRJgo2NDWpraw32EbVUB6UDtCUeHh7w8PD4XZ/V6/UAgNraWlNGsriWXIOSkhIMGzYMYWFh2Lp1q9UXs8B/9megLVOr1QgLC0NWVpZcyOn1emRlZSExMVHZcGR2QgjMmDEDO3fuRHZ2NovZ/6fX663+Z35zvfDCCzh79qzBtkmTJqFHjx6YN28ei1n6j7GgVUBubi6OHTuGwYMHo1OnTrh48SIWLVqEbt26WfXobEuUlJRg6NCh8Pf3x+rVq3Hz5k15n5eXl4LJLKe4uBhlZWUoLi6GTqdDXl4eACAoKAgajUbZcGaQnJyMuLg49O3bF/3798fatWtRU1ODSZMmKR3N7Kqrq1FUVCS/v3TpEvLy8uDm5gY/Pz8Fk1lGQkICtm/fjoyMDDg7O8vzpl1dXeHg4KBwOsuYP38+Ro4cCT8/P1RVVWH79u3Izs7G3r17lY5mEc7Ozo3mTDfcQ9Le5lKTmSj7kIX26cyZM2LYsGHCzc1N2NnZiYCAADF16lRx9epVpaNZzNatWwUAo6/2Ii4uzmj/9+/fr3Q0s1m3bp3w8/MTarVa9O/fXxw5ckTpSBaxf/9+o7/XcXFxSkeziIf9Xd+6davS0SzmrbfeEv7+/kKtVgsPDw/xwgsviO+++07pWIriY7vIlDiHloiIiIismvVPWiQiIiKido0FLRERERFZNRa0RERERGTVWNASERERkVVjQUtEREREVo0FLRERERFZNRa0RERERGTVWNASERERkVVjQUvUzgUEBGDt2rUmO158fDyio6NNdjwAyM7OhiRJKC8vN+lxiYiobWBBS9RGxMfHQ5IkSJIEtVqNoKAgLF26FPX19U1+7tixY3j77bdNluOjjz5CamqqyY7XEqdOnUJMTAw8PT1hb2+P4OBgTJkyBefPn1ckT2vV3P+J2bx5M4YOHQoXFxf+DwURtWosaInakBEjRuDatWu4cOECZs2ahSVLluCDDz4w2lar1QIAPDw84OjoaLIMrq6u6Nixo8mO11yZmZkIDw9HbW0t0tLScO7cOXz++edwdXXFokWLLJ6nLbh79y5GjBiBBQsWKB2FiKhpgojahLi4ODF27FiDbS+++KIIDw832L98+XLh7e0tAgIChBBC+Pv7iw8//FD+DADxySefiOjoaOHg4CCCgoJERkaGwXHz8/PFqFGjhLOzs9BoNGLw4MGiqKjIaI4hQ4aIhIQEkZCQIFxcXETnzp3FwoULhV6vl9v89a9/FWFhYUKj0QhPT08xfvx4cf36dXn//v37BQBx584do32vqakR7u7uIjo62uj+Bz+XnZ0t+vXrJ9RqtfDy8hLz5s0TdXV1BnkTExNFUlKS6Nixo+jSpYvYvHmzqK6uFvHx8UKj0Yhu3bqJ3bt3N8qXmZkpevXqJezs7MSAAQPE2bNnDXJ89dVXomfPnkKtVgt/f3+xevVqg/3+/v7i/fffF5MmTRIajUb4+vqKTZs2GbQpLi4WMTExwtXVVXTq1EmMGTNGXLp0Sd7fcP0/+OAD4eXlJdzc3MT06dOFVquV+wfA4PUoj7r+RERK4wgtURvm4OAgj8QCQFZWFgoLC7Fv3z5kZmY+9HPvvfceXnvtNZw5cwYvvfQS3njjDZSVlQEASkpK8Nxzz8HOzg4//PADTpw4gbfeeqvJqQ3btm1Dhw4dcPToUXz00Uf485//jC1btsj76+rqsGzZMpw+fRq7du3C5cuXER8f3+x+7t27F7du3cLcuXON7m8YMS4pKcFLL72Efv364fTp09iwYQM+/fRTLF++vFFed3d3HD16FDNmzMC0adMQExODgQMH4uTJkxg+fDgmTJiAu3fvGnxuzpw5WLNmDY4dOwYPDw+MHj0adXV1AIATJ07gtddew7hx43D27FksWbIEixYtajQ9Y82aNejbty9OnTqF6dOnY9q0aSgsLJSvU1RUFJydnXHw4EEcOnQIGo0GI0aMMPh93r9/Py5evIj9+/dj27ZtSE1Nlc/z9ddfo2vXrli6dCmuXbuGa9euNfs6ExG1WkpX1ERkGg+OjOr1erFv3z5hZ2cnZs+eLe/39PQUtbW1Bp8zNkK7cOFC+X11dbUAIL799lshhBDz588XgYGB8ohfUzmEuD8iGBISYjAiO2/ePBESEvLQvhw7dkwAEFVVVUKIR48Q/ulPfxIARFlZ2UOPKYQQCxYsEN27dzfIsn79eqHRaIROp5PzDh48WN5fX18vnJycxIQJE+Rt165dEwBETk6OQb709HS5ze3bt4WDg4PYsWOHEEKI119/Xbz44osGeebMmSN69uwpv/f39xdvvvmm/F6v14suXbqIDRs2CCGE+Oyzzxrlr62tFQ4ODmLv3r1CiPvX39/fX9TX18ttYmJiRGxsrMF5Hvw9fxSO0BJRa8cRWqI2JDMzExqNBvb29hg5ciRiY2OxZMkSeX+vXr2gVqsfeZzevXvLv3ZycoKLiwtu3LgBAMjLy8Ozzz4LW1vbZucKDw+HJEny+4iICFy4cAE6nQ7A/dHL0aNHw8/PD87OzhgyZAgAoLi4uFnHF0I0q925c+cQERFhkGXQoEGorq7G1atX5W0P9l+lUqFz587o1auXvM3T0xMA5GvyYL8auLm5oXv37jh37px87kGDBhm0HzRokMF1+O25JUmCl5eXfJ7Tp0+jqKgIzs7O0Gg00Gg0cHNzw71793Dx4kX5c08++SRUKpX83tvbu1FWIqK2pIPSAYjIdIYNG4YNGzZArVbDx8cHHToY/hV3cnJq1nF+W6xKkgS9Xg/g/jQGU6qpqUFUVBSioqKQlpYGDw8PFBcXIyoqyuBr9KY88cQTAICCggKDovL3Mtb/B7c1FMQN18SUmrr21dXVCAsLQ1paWqPPeXh4NOsYRERtEUdoidoQJycnBAUFwc/Pr1Exayq9e/fGwYMH5bmhzZGbm2vw/siRIwgODoZKpUJBQQFu376NlStX4tlnn0WPHj1aPJo4fPhwuLu7Y9WqVUb3NzxuKiQkBDk5OQYjuocOHYKzszO6du3aonMac+TIEfnXd+7cwfnz5xESEiKf+9ChQwbtDx06hCeeeMJgNLUpzzzzDC5cuIAuXbogKCjI4OXq6trsnGq12mBUmIjI2rGgJaIWSUxMRGVlJcaNG4fjx4/jwoUL+Oyzz+Qbl4wpLi5GcnIyCgsL8be//Q3r1q1DUlISAMDPzw9qtRrr1q3Dv//9b3zzzTdYtmxZizI5OTlhy5Yt+Oc//4kxY8bg+++/x+XLl3H8+HHMnTsXU6dOBQBMnz4dV65cwYwZM1BQUICMjAykpKQgOTkZNjb/+Y/DpUuXIisrC/n5+YiPj4e7u7u8yMSsWbOQlZWFZcuW4fz589i2bRs+/vhjzJ49u9nHf+ONN+Du7o6xY8fi4MGDuHTpErKzs/HHP/7RYMrEowQEBODAgQMoKSnBrVu3HtqutLQUeXl5KCoqAgCcPXsWeXl58g2CREStBQtaImqRzp0744cffkB1dTWGDBmCsLAwfPLJJ03OqZ04cSJ++eUX9O/fHwkJCUhKSpIXc/Dw8EBqaiq+/PJL9OzZEytXrsTq1atbnGvs2LE4fPgwbG1t8frrr6NHjx4YP348Kioq5KcYPPbYY9i9ezeOHj2KPn36YOrUqZg8eTIWLlz4+y7Gb6xcuRJJSUkICwtDaWkp/vGPf8hzlp955hl88cUXSE9Px1NPPYXFixdj6dKlLXqag6OjIw4cOAA/Pz/84Q9/QEhICCZPnox79+7BxcWl2cdZunQpLl++jG7duhlMVfitjRs34umnn8aUKVMAAM899xyefvppfPPNN80+FxGRJUiiuXdTEBH9DkOHDkVoaKhJl9dtbbKzszFs2DDcuXNHkUUliIjaO47QEhEREZFVY0FLRERERFaNUw6IiIiIyKpxhJaIiIiIrBoLWiIiIiKyaixoiYiIiMiqsaAlIiIiIqvGgpaIiIiIrBoLWiIiIiKyaixoiYiIiMiqsaAlIiIiIqv2f8FS5MwU1clrAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}