UCI_ML_dataset_C_classification_SMOTE.ipynb

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        "id": "AI79ZYB7lEr6"
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      "source": [
        "import pandas as pd\n",
        "from sklearn.model_selection import train_test_split\n",
        "from imblearn.over_sampling import SMOTE\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, cohen_kappa_score, confusion_matrix, classification_report, roc_curve, auc\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.linear_model import LogisticRegression"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
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        "id": "yGjrYj6fm80q",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "35d11ec3-3430-4f1f-b32f-004a2532fa80"
      },
      "execution_count": null,
      "outputs": [
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          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Example usage\n",
        "# df=pd.read_excel(\"/content/drive/MyDrive/MSCI-623/default of credit card clients.xls\", index_col=False)\n",
        "df=pd.read_csv(\"/content/drive/MyDrive/MSCI-623/UCI_Credit_Card.csv\", index_col=False)"
      ],
      "metadata": {
        "id": "5en29BA4nI28"
      },
      "execution_count": null,
      "outputs": []
    },
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      "source": [
        "df.head()"
      ],
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              "   ID  LIMIT_BAL  SEX  EDUCATION  MARRIAGE  AGE  PAY_0  PAY_2  PAY_3  PAY_4  \\\n",
              "0   1    20000.0    2          2         1   24      2      2     -1     -1   \n",
              "1   2   120000.0    2          2         2   26     -1      2      0      0   \n",
              "2   3    90000.0    2          2         2   34      0      0      0      0   \n",
              "3   4    50000.0    2          2         1   37      0      0      0      0   \n",
              "4   5    50000.0    1          2         1   57     -1      0     -1      0   \n",
              "\n",
              "   ...  BILL_AMT4  BILL_AMT5  BILL_AMT6  PAY_AMT1  PAY_AMT2  PAY_AMT3  \\\n",
              "0  ...        0.0        0.0        0.0       0.0     689.0       0.0   \n",
              "1  ...     3272.0     3455.0     3261.0       0.0    1000.0    1000.0   \n",
              "2  ...    14331.0    14948.0    15549.0    1518.0    1500.0    1000.0   \n",
              "3  ...    28314.0    28959.0    29547.0    2000.0    2019.0    1200.0   \n",
              "4  ...    20940.0    19146.0    19131.0    2000.0   36681.0   10000.0   \n",
              "\n",
              "   PAY_AMT4  PAY_AMT5  PAY_AMT6  default.payment.next.month  \n",
              "0       0.0       0.0       0.0                           1  \n",
              "1    1000.0       0.0    2000.0                           1  \n",
              "2    1000.0    1000.0    5000.0                           0  \n",
              "3    1100.0    1069.0    1000.0                           0  \n",
              "4    9000.0     689.0     679.0                           0  \n",
              "\n",
              "[5 rows x 25 columns]"
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          "metadata": {},
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    {
      "cell_type": "code",
      "source": [
        "# df = df.drop(labels=0, axis=0)"
      ],
      "metadata": {
        "id": "sA8rrQPGoPwZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# rename outcome variable in an acceptable format to minimize any issues that might arise afterwards\n",
        "df.rename(columns={\"default.payment.next.month\": \"def_pay\", \"PAY_0\": \"PAY_1\"}, inplace=True)"
      ],
      "metadata": {
        "id": "RMtjQZsvkI9S"
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      "execution_count": null,
      "outputs": []
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      "source": [
        "df.shape"
      ],
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        },
        "id": "CppPR48zoSCo",
        "outputId": "28568628-1350-4982-d24c-c0f8037207f5"
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(30000, 25)"
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          "metadata": {},
          "execution_count": 6
        }
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    {
      "cell_type": "code",
      "source": [
        "# converting datatypes from object to numeric\n",
        "# df = df.astype(int)"
      ],
      "metadata": {
        "id": "BDtD4_RpoTB7"
      },
      "execution_count": null,
      "outputs": []
    },
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      "source": [
        "df.dtypes"
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          "data": {
            "text/plain": [
              "ID             int64\n",
              "LIMIT_BAL    float64\n",
              "SEX            int64\n",
              "EDUCATION      int64\n",
              "MARRIAGE       int64\n",
              "AGE            int64\n",
              "PAY_1          int64\n",
              "PAY_2          int64\n",
              "PAY_3          int64\n",
              "PAY_4          int64\n",
              "PAY_5          int64\n",
              "PAY_6          int64\n",
              "BILL_AMT1    float64\n",
              "BILL_AMT2    float64\n",
              "BILL_AMT3    float64\n",
              "BILL_AMT4    float64\n",
              "BILL_AMT5    float64\n",
              "BILL_AMT6    float64\n",
              "PAY_AMT1     float64\n",
              "PAY_AMT2     float64\n",
              "PAY_AMT3     float64\n",
              "PAY_AMT4     float64\n",
              "PAY_AMT5     float64\n",
              "PAY_AMT6     float64\n",
              "def_pay        int64\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
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    },
    {
      "cell_type": "code",
      "source": [
        "# Had to rename 1st column name to 'ID' as lightGBMpredict was giving error stating unable to process non utf-8 char in column name\n",
        "# df.rename(columns={'Unnamed: 0': 'ID'}, inplace=True)\n"
      ],
      "metadata": {
        "id": "qU61L9HTodHM"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3XKwJ1CapMgy",
        "outputId": "b55ca522-d80e-4f9e-aa40-de176f4ec7a7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['ID', 'LIMIT_BAL', 'SEX', 'EDUCATION', 'MARRIAGE', 'AGE', 'PAY_1',\n",
              "       'PAY_2', 'PAY_3', 'PAY_4', 'PAY_5', 'PAY_6', 'BILL_AMT1', 'BILL_AMT2',\n",
              "       'BILL_AMT3', 'BILL_AMT4', 'BILL_AMT5', 'BILL_AMT6', 'PAY_AMT1',\n",
              "       'PAY_AMT2', 'PAY_AMT3', 'PAY_AMT4', 'PAY_AMT5', 'PAY_AMT6', 'def_pay'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Issue: We could see our dataset looked to be highly unstable thus we now use SMOTE function. SMOTE function is used to upscale low section\n",
        "# of data and it balances out the other data.\n",
        "\n",
        "# This one function can be used to do the whole metrics process we tried in Notebook #1\n",
        "def Model_with_SMOTE(df):\n",
        "    # Split the dataframe into train, test, and validation sets\n",
        "    X = df.drop(['def_pay'], axis=1)\n",
        "    y = df['def_pay']\n",
        "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)\n",
        "    X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=42)\n",
        "\n",
        "    # Use SMOTE technique to resample the unbalanced data in the training set\n",
        "    smote = SMOTE(random_state=42)\n",
        "    X_train_resampled, y_train_resampled = smote.fit_resample(X_train, y_train)\n",
        "\n",
        "    # Fit models using DecisionTreeClassifier, KNeighborsClassifier, and RandomForestClassifier\n",
        "    models = [\n",
        "        (\"Decision Tree\", DecisionTreeClassifier()),\n",
        "        (\"K-Nearest Neighbors\", KNeighborsClassifier()),\n",
        "        (\"Random Forest\", RandomForestClassifier()),\n",
        "        (\"Logistic Regression\", LogisticRegression(max_iter=1000))\n",
        "    ]\n",
        "\n",
        "    for name, model in models:\n",
        "        print(f\"Training {name}...\")\n",
        "        model.fit(X_train_resampled, y_train_resampled)\n",
        "\n",
        "        # Fine-tune the model using the validation dataset\n",
        "        y_val_pred = model.predict(X_val)\n",
        "\n",
        "        # Predict using the test dataset\n",
        "        y_test_pred = model.predict(X_test)\n",
        "\n",
        "        # Print accuracy, precision, recall, f1-score, kappa, confusion matrix\n",
        "        print(f\"\\n{name} Model Metrics:\")\n",
        "        print(f\"Accuracy: {accuracy_score(y_test, y_test_pred)}\")\n",
        "        print(f\"Precision: {precision_score(y_test, y_test_pred)}\")\n",
        "        print(f\"Recall: {recall_score(y_test, y_test_pred)}\")\n",
        "        print(f\"F1-Score: {f1_score(y_test, y_test_pred)}\")\n",
        "        print(f\"Kappa: {cohen_kappa_score(y_test, y_test_pred)}\")\n",
        "        print(f\"Confusion Matrix:\\n{confusion_matrix(y_test, y_test_pred)}\")\n",
        "\n",
        "        # Plot ROC curve and calculate AUC\n",
        "        fpr, tpr, thresholds = roc_curve(y_test, y_test_pred)\n",
        "        roc_auc = auc(fpr, tpr)\n",
        "        plt.figure()\n",
        "        plt.plot(fpr, tpr, color='darkorange', lw=2, label='ROC curve (area = %0.2f)' % roc_auc)\n",
        "        plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n",
        "        plt.xlim([0.0, 1.0])\n",
        "        plt.ylim([0.0, 1.05])\n",
        "        plt.xlabel('False Positive Rate')\n",
        "        plt.ylabel('True Positive Rate')\n",
        "        plt.title(f'Receiver Operating Characteristic - {name}')\n",
        "        plt.legend(loc=\"lower right\")\n",
        "        plt.show()\n",
        "\n",
        "        # Print classification report\n",
        "        print(f\"\\nClassification Report for {name}:\")\n",
        "        print(classification_report(y_test, y_test_pred))\n",
        "        print(\"--------------------------------------\")\n"
      ],
      "metadata": {
        "id": "qjcB-ZbqnarC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Model_with_SMOTE(df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "mx1I1EfjoIzL",
        "outputId": "c35cccc0-4d19-4474-f8af-fddf13798ea5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training Decision Tree...\n",
            "\n",
            "Decision Tree Model Metrics:\n",
            "Accuracy: 0.6754444444444444\n",
            "Precision: 0.32734459216672657\n",
            "Recall: 0.46479591836734696\n",
            "F1-Score: 0.38414505587181114\n",
            "Kappa: 0.17272018941620582\n",
            "Confusion Matrix:\n",
            "[[5168 1872]\n",
            " [1049  911]]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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kyZKJti1VqhQbNmwAUvc6vyzvyMhIZs2axfLly7lz547J7fz//cJPrf9+6cUXN0+ePAHg33//BaBEiRIm21laWiZ7yeZFjo6OQMJrmBZ5xR/z8OHDTJ48GT8/P54/f26yfWhoKE5OTsbl5H4fUnKM69evA1ChQoVUPYd4qX1/pPR398svv6RPnz54enri7e1N69at6d27N8WKFUt1jvFfyK/zHIODg02WnZycUvRHSHLCw8OBhPdbSl+/69evY25unqIi8kVjxoxhz5491KxZkxIlStCiRQu6d+9O3bp1k90n/n0Rf4k1nrW1NcWKFTOuj1eoUKFExZiLi4vJXWFv4r+/M1evXgVI1OXgRaGhocTGxqb6szWnkkIoi6lZsybVq1cHDK0W9erVo3v37vj7+5M7d270ej0An3zySZJ/JUPiL76X0ev1VKxYkW+++SbJ9Z6eni/dv2vXrsyYMYOQkBAcHBzYvn077733nrEFIj7fnj17JvvGrlSpkslySj+Iy5Ytyy+//MK5c+do0KBBktvEf1il9gP2dV7npPIePnw4y5cv5+OPP6ZOnTo4OTlhZmZGt27djOd4XcndOv1isfUmypQpA8D58+epUqVKivd7VV7Xr1+nadOmlClThm+++QZPT0+sra3ZuXMn3377baLXJanXNbXHeF2pfX+k9He3S5cu1K9fn61bt/LHH38wZ84cZs+ezZYtW9Kk30lKFShQwGR5+fLlbzRo6oULF7CwsDB+ub/p58urlC1bFn9/f3bs2MGuXbvYvHkzP/zwA76+vkydOvWNjh0vvd9n//2dif/dnTNnTrLvu9y5c/Po0SMgdZ+tOZUUQlmYhYUFs2bNonHjxsyfP5+xY8ca/2K0srIy6fyblOLFi3PhwoVXbnP27FmaNm36Ws3oXbt2ZerUqWzevBl3d3fCwsLo1q2bcX2+fPlwcHBAp9O9Mt/Ueuedd5g1axarVq1KshDS6XSsXbsWFxeXRH8hxv/V9aKAgABjS0lqXueX2bRpE3369OHrr782xqKionj69KnJdulxCaNIkSKAoXWrcePGxnhcXBxBQUGv/JB86623sLCw4Oeff051h+mX+fXXX4mOjmb79u0mrUcvuwz7uscoXrw4YPiCftkfCMm9/m/6/niZAgUK8OGHH/Lhhx/y4MEDqlWrxowZM4yFUErPF/+7+qr3elL+/PNPk+Xy5cun+hjxbt68yYEDB6hTp46xRSilr1/x4sXR6/VcunQpVUU3gL29PV27dqVr167ExMTQsWNHZsyYwbhx45Icey3+feHv72/SAhcTE8ONGzfS/HMqteJ/Zx0dHV+aS3p+tmY30kcoi2vUqBE1a9Zk7ty5REVF4ebmRqNGjVi8eDH37t1LtP3Dhw+Njzt16sTZs2fZunVrou3i/5rp0qULd+7cYenSpYm2iYyMNN79lJyyZctSsWJF1q9fz/r16ylQoIBJUWJhYUGnTp3YvHlzkh/UL+abWj4+PjRr1ozly5ezY8eOROsnTJhAQEAAn332WaK/un755ReTPj7Hjx/n2LFjxi+h1LzOL2NhYZHoL8fvv/8enU5nErO3twdIVCC9ierVq5M3b16WLl1KXFycMb5mzRrj5bOX8fT0ZODAgfzxxx98//33idbr9Xq+/vprbt++naq84v/C/u9lwuXLl6f5MVq0aIGDgwOzZs0iKirKZN2L+9rb2yd5qfJN3x9J0el0ic7l5uZGwYIFiY6OfmVO/5UvXz4aNGjAsmXLuHnzpsm6V7VaNGvWzOTff1uIUurx48e899576HQ6JkyYYIyn9PVr37495ubmfP7554la8172HOJbReJZW1tTrlw5lFLExsYmuU+zZs2wtrZm3rx5Jsf+6aefCA0N5e233371E05H3t7eFC9enK+++sp4qfFF8Z896fnZmt1Ii1A28Omnn9K5c2dWrFjB4MGDWbBgAfXq1aNixYoMHDiQYsWKcf/+ffz8/Lh9+zZnz5417hc/YvH777+Pt7c3jx8/Zvv27SxatIjKlSvTq1cvNmzYwODBg9m3bx9169ZFp9Nx5coVNmzYwO7du42X6pLTtWtXfH19sbW1pX///ok6O37xxRfs27ePWrVqMXDgQMqVK8fjx485ffo0e/bs4fHjx6/92qxatYqmTZvSrl07unfvTv369YmOjmbLli3s37+frl278umnnybar0SJEtSrV48hQ4YQHR3N3LlzyZs3L5999plxm5S+zi/zzjvvsHr1apycnChXrhx+fn7s2bOHvHnzmmxXpUoVLCwsmD17NqGhodjY2NCkSRPc3Nxe+7WxtrZmypQpDB8+nCZNmtClSxeCgoJYsWIFxYsXT1GLw9dff83169cZMWIEW7Zs4Z133sHFxYWbN2+yceNGrly5YtICmBItWrTA2tqaNm3aMGjQIMLDw1m6dClubm5JFp1vcgxHR0e+/fZbBgwYQI0aNejevTsuLi6cPXuW58+fs3LlSsDw5bN+/XpGjRpFjRo1yJ07N23atEmT98d/PXv2jEKFCvHuu+9SuXJlcufOzZ49ezhx4oRJy2FyOSVl3rx51KtXj2rVqvHBBx9QtGhRgoKC+O233zhz5kyq8nuVgIAAfv75Z5RShIWFGUeWDg8P55tvvqFVq1bGbVP6+pUoUYIJEyYwbdo06tevT8eOHbGxseHEiRMULFiQWbNmJZlLixYtyJ8/P3Xr1sXd3Z3Lly8zf/583n777WQ7+efLl49x48YxdepUWrVqRdu2bfH39+eHH36gRo0aJh2jtWBubs6PP/7IW2+9Rfny5enXrx8eHh7cuXOHffv24ejoaBw6JD0/W7OVjL1JTbyu5AZUVMowQm3x4sVV8eLFjbdnX79+XfXu3Vvlz59fWVlZKQ8PD/XOO++oTZs2mez76NEjNWzYMOXh4WEczKxPnz4mt1vGxMSo2bNnq/LlyysbGxvl4uKivL291dSpU1VoaKhxu//ePh/v6tWrxkHfkhrwSyml7t+/r4YOHao8PT2VlZWVyp8/v2ratKlasmSJcZv420k3btyYqtfu2bNnasqUKap8+fIqV65cysHBQdWtW1etWLEi0e3DLw6o+PXXXytPT09lY2Oj6tevb7zl90UpeZ1f9rN78uSJ6tevn3J1dVW5c+dWLVu2VFeuXEnytVy6dKkqVqyYsrCwSNGAiv99nZIbaG/evHmqSJEiysbGRtWsWVMdPnxYeXt7q1atWqXg1TWMIP3jjz+q+vXrKycnJ2VlZaWKFCmi+vXrZ3JrfXIjSyc1oN327dtVpUqVlK2trfLy8lKzZ89Wy5YtS7Rd/ICKSUnpMeK39fHxUbly5VKOjo6qZs2a6n//+59xfXh4uOrevbtydnZONKBiSt8fvOTWcl64dTo6Olp9+umnqnLlysrBwUHZ29urypUrJxoMMrmckvs5X7hwQXXo0EE5OzsrW1tbVbp0aTVp0qQk83ld8e9z/n+oAGdnZ1W1alX10UcfJTlsgFIpf/2UMgySWbVqVeN2DRs2VH/++adx/X/fC4sXL1YNGjRQefPmVTY2Nqp48eLq008/NTlucgMqzp8/X5UpU0ZZWVkpd3d3NWTIkGQHVPyvPn36pGrU75fdPp/c590///yjOnbsaHxuRYoUUV26dFF79+412S4ln605ncw1JsQLgoKCKFq0KHPmzOGTTz7ROh1N6PV68uXLR8eOHZO8ZCGEENmJ9BESIgeLiopK1Mdi1apVPH78WGa+FkLkCNJHSIgc7OjRo4wcOZLOnTuTN29eTp8+zU8//USFChXo3Lmz1ukJIUS6k0JIiBzMy8sLT09P5s2bx+PHj8mTJw+9e/fmiy++SHYONyGEyE6kj5AQQgghcizpIySEEEKIHEsKISGEEELkWDmuj5Ber+fu3bs4ODhk+MzLQgghhHg9SimePXtGwYIFEw3M+yZyXCF09+7dN57ITwghhBDauHXrFoUKFUqz4+W4Qih+WPVbt27h6OiocTZCCCGESImwsDA8PT2TnR7ldeW4Qij+cpijo6MUQkIIIUQWk9bdWqSztBBCCCFyLCmEhBBCCJFjSSEkhBBCiBxLCiEhhBBC5FhSCAkhhBAix5JCSAghhBA5lhRCQgghhMixpBASQgghRI4lhZAQQgghciwphIQQQgiRY2laCB08eJA2bdpQsGBBzMzM+OWXX165z/79+6lWrRo2NjaUKFGCFStWpHueQgghhMieNC2EIiIiqFy5MgsWLEjR9jdu3ODtt9+mcePGnDlzho8//pgBAwawe/fudM5UCCGEENmRppOuvvXWW7z11lsp3n7RokUULVqUr7/+GoCyZcty6NAhvv32W1q2bJleaQohhBAim8pSfYT8/Pxo1qyZSaxly5b4+flplJEQQggh0ps++jkXN89Ll2Nr2iKUWsHBwbi7u5vE3N3dCQsLIzIykly5ciXaJzo6mujoaONyWFhYuucphBBCiDSgi+HeX0vo9/EZDgS4pMspslSL0OuYNWsWTk5Oxn+enp5apySEEEKIl9HHwYUVbBvRjEodbrL7kidRcenTdpOlCqH8+fNz//59k9j9+/dxdHRMsjUIYNy4cYSGhhr/3bp1KyNSFUIIIURqKT1cWQ8rKvBw81B6/FifkAh7ANyc49LllFmqEKpTpw579+41if3555/UqVMn2X1sbGxwdHQ0+SeEEEKITEQpuLYdVleF37rBE3/y5X7O3Ha7AGjfyp2jp0eny6k17SMUHh7OtWvXjMs3btzgzJkz5MmTh8KFCzNu3Dju3LnDqlWrABg8eDDz58/ns88+4/333+evv/5iw4YN/Pbbb1o9BSGEEEK8LqXg3z1weCK6uyeI05tjE1+ZeNSn/9fT8OzvQYsWxXn27Fm6pKBpIXTy5EkaN25sXB41ahQAffr0YcWKFdy7d4+bN28a1xctWpTffvuNkSNH8t1331GoUCF+/PFHuXVeCCGEyGpuH4LDE+D2QW49daT3/3pTIf8Dvh8SAnWnQ5HmmJmZ0TKdu/aaKaVU+p4icwkLC8PJyYnQ0FC5TCaEEEJktOCTcHgiBBkGQ95wpjyDNr/D00hDX9/fdrxH67dLJdotvb6/s9Tt80IIIYTIoh6ehyO+cO0XAMKibBjxy1usPFnFuImnpyMOjjYZmpYUQkIIIYRIP0+uwpHJcGUdYLgI5RdUiJ7ruhAYktCy07VreRYufBsXl6TvAk8vUggJIYQQIu2F/Qt+n8PFlaB0AMTpzJlxsDXTdlVHZwjh4GDNggWt6dmzEmZmZhmephRCQgghhEg74Xfh2Ew4twT0scbwI10h2vz8AX7n9caYj48nP//cgaJF02fU6JTIUuMICSGEECKTeh4CBz6Fn4rDmQUJRZCNE9SdjvPwC1g6FwLAwsKMqVMbceBAX02LIJAWISGEEEK8iaincOprODUXYsMT4lb2UO1jqD4abF2wAFav7kDHjhtYsKA1tWsX0ibf/5BCSAghhBCpFxMO/8yDE3Mg+mlC3MIGqgzlQHQvclnno6ZtQotPkSLOnDw5UJO+QMmRS2NCCCGESLm4KEPrz0/F4dCEhCLI3BIqDyGmVwDjdr9F47e28d57m3n2LNpk98xUBIG0CAkhhBAiJXQxcGEZHJ0O4XcS4mbmUK431PHFP9iB7i22cPr0PQACA5+wcOFJPvusrkZJv5oUQkIIIYRInl4Hl38Gv6kQesN0XemuUGcKKk9pli49zccfryUy0jBLvJWVOTNmNGH0aB8Nkk45KYSEEEIIkZjSQ8Amw2CIj6+YriveFnw+B7fKPHwYwcAO69m2zd+4unTpvKxd24lq1QpkcNKpJ4WQEEIIIRIoBYE74PAkeHjWdF2R5oYJUQvUBGD37mv07buN4OCEu8UGD/bm669bYmdnlZFZvzYphIQQQghhKIBu7jVMiHrvmOk6j3qGAsizoTF0/3447duvJyrKcCnM1dWOZcva0qZN6YzM+o3JXWNCCCFETnfnMGxoDJuamxZB7tWh0y7oetCkCAJwd8/NF180BaBly+KcPz8kyxVBIC1CQgghRM51/xQcmghBu0zjrhXAZxqUaAf/f7u7Xq/Q6fRYWVkYNxs+vBaFCjnSoUNZzM0z123xKSWFkBBCCJHThFyAw75wbatp3KUk1JkKpbuAeULBc+/eM/r23UaVKu7Mnt3cGDc3N6NTp3IZlXW6kEJICCGEyCmeXIUjU+DK/wCVEHcoDHUmQ/nehoERX7Bt2xX699/Oo0eR/PnndVq2LEGTJkUzNO30JIWQEEIIkd2F3QS/z+HiClC6hLh9fqg1ESoOAEsbk10iImIYPfoPFi8+ZYy5u+fOoIQzjhRCQgghRHYVfg+OzYTzSwwjQ8ezzQs1x0KVD8HKLtFup07dpXv3LQQEPDLG2rUrzY8/tsXVNfH2WZkUQkIIIUR2E/kIjs+GM/MhLjIhbu0I1T8B74/B2iHRbjqdnq++OsLEifuIi9MDYGdnxdy5LRkwoFqmmycsLUghJIQQQmQX0aFw8hs4/S3EPEuIW9pBtY8MRVCuPEnuGhLynM6dN7J/f5Ax5u1dgLVrO1GqVN50Tlw7UggJIYQQWV1sBJz+Hk5+CVFPEuIWNobLXzXHgp3bSw/h5GRDeLjh8pmZGYwdW48pUxphbW3x0v2yOimEhBBCiKwqLgrOLTb0A3r+ICFubmnoAF1rAjgUStGhrKwsWLOmI+3br2Phwrdp2NArfXLOZKQQEkIIIbIaXSxcWAZHp0H4nYS4mTmU6wW1fcG52EsP4ed3Czs7KypXzm+MlSqVlwsXPsyygyO+DimEhBBCiKxCr4PLa8BvKoQGmq4r1QV8pkDesi89RFycnhkzDjJt2kFKlcrLyZMfmEyQmpOKIJBCSAghhMj8lB6ubjGMBv34sum6Ym2g7ufgVuWVhwkMfELPnlvw87sNwOXLIfzwwwk++cQnHZLOGqQQEkIIITIrpSDwNzg8CR6eMV1XuBnUnQYFa6fgMIrVq88xbNhOnj0zdIi2sDBj8uSGfPzxq/fPzqQQEkIIITKjf/fC4Ylw76hpvKAP1JsBno1SdJgnTyIZPPg3Nmy4aIwVL+7Czz93pHbtlHWkzs6kEBJCCCEykztHDAXQrX2mcbdqUG86eLUyzgj/Kvv3B9Gr11Zu3w4zxvr1q8J337XCwcHmJXvmHFIICSGEEJnB/dOGS2A3dprG85Y3XAIr0T7FBRAYZoxv2fJnYmIMc4u5uNiyePE7dO5cPg2TzvrMtU5ACCGEyNFCLsL2d+Fnb9MiyLkEtF4Dvc9CyQ6pKoIAChRwYPLkhgA0buzFuXNDpAhKgrQICSGEEFp4cg38psDltYBKiDt4Qp3JUK43WFglt3ciSin0eoWFRUIbx5gxdfH0dKRHj0o57rb4lJJCSAghhMhIYTcNAyFeWA5KlxC3z28YCbriQLBMXf+dhw8jGDjwV6pWzc/kyY2McQsLc3r1qpxGiWdPUggJIYQQGSEi2DAVxrnFoItJiNvmMcwFVmUoWNml+rC7d1+jb99tBAeHs2NHAC1aFKdOHc80TDx7k0JICCGESE+Rj+DEl/DP9xAXmRC3doTqo6Hax2DjmOrDRkXFMW7cHubOPWaMubjkMo4TJFJGCiEhhBAiPUSHwqlv4dQ3EPMsIW5pB9VGQPVPIVee1zr0+fP36dFjC+fPJ0y02rJlcVasaE/+/LnfNPMcRQohIYQQIi3FRsA/8w2tQFGPE+IW1lB5CNQcB/bur3VovV7x/ffHGDNmD9HRhv5FNjYWfPllc4YNqykdol+DFEJCCCFEWoiLgnNLDP2Ant9PiJtbQoX3odZEcHz9vjuPHj2nR48t7N593RirWNGNtWs7UaGC25tknqNJISSEEEK8CV0sXFxhuBPs2a0XVphBuZ6GW+Gdi7/xaeztrblzJ+ES28iRtZk5sym2tvJV/ibk1RNCCCFeh14HV/5nGAvo6XXTdaU6g88UyFsuzU5na2vJ2rUdadduHYsWvUOLFm9eXAkphIQQQojUUXq4uhWO+MKjS6brir0NPtPAveobn+bUqbvY21tTpoyrMVaxojsBAcOxtJSJIdKKFEJCCCFESigFN343TIj64B/TdYWbGuYDK1jnjU+j0+n56qsjTJy4jwoV3Dh6tD82Nglf11IEpS0phIQQQohXubnPUADdPWIaL1AH6s2Awo3T5DS3boXSq9dWDhz4F4AzZ4L54YcTjBz55gWWSJoUQkIIIURy7voZCqCbf5nG3apC3elQ9K1UT4aanA0bLjJo0A6ePo0CDIcdO7YeQ4fWTJPji6RJISSEEEL81/1/4MgkCPzNNJ63nOESWInUzwafnLCwaEaM+J2VK88aY56ejqxe3YGGDb3S5BwieVIICSGEEPEeXYIjkyFgk2ncuTjUmQJl3gNzizQ7nZ/fLXr23Epg4BNjrGvX8ixc+DYuLrnS7DwieVIICSGEEE+vw5EpcHkNoBLiuQtBHV8o3xcsrNL0lHfuhNGo0UpiYgwjRDs4WLNgQWt69qyEWRq1NolXk0JICCFEzhV2C45NhwvLQB+XELdzh1oToNJAsLRNl1N7eDjyySd1mDnzED4+nvz8cweKFnVJl3OJ5EkhJIQQIueJuA/HZ8HZhaB7YbZ22zxQYwxUHQpW9ml6SqUMLU0vtvZMmdKIwoWd6N+/mtwWrxEphIQQQuQckY8Nk6H+8z3EPU+IWzuA92jw/hhsnNL8tE+eRDJ48G/UqFGQTz7xMcatrCwYNKh6mp9PpJwUQkIIIbK/6DA49S2c+gZiwhLilrmg6gio8Snkypsup96/P4hevbZy+3YYW7depmnTolStWiBdziVSTwohIYQQ2Vfsc/hnPpyYDVGPE+IW1lBpMNQaB/b50+XUMTE6fH338eWXh/n/q2Lkzm1NcHB4upxPvB4phIQQQmQ/cdFwbgkcmwHP7yfEzSygwvtQexI4eqbb6f39Q+jefQunT98zxho39mLVqg4UKuSYbucVqSeFkBBCiOxDFwsXV8LRz+HZrRdWmEHZHlBnMriUSLfTK6VYsuQUI0fuJjLScBealZU5M2Y0YfRoH8zN5bb4zEYKISGEEFmfXgf+6wxjAT29ZrquZCeo+7lhVOh09PhxJP36bWP7dn9jrHTpvKxd24lq1aRPUGYlhZAQQoisSym4thUO+8Kji6brirY2TIfhXi1DUrGxseDKlRDj8pAh1fnqqxbY2aXtQIwibUkhJIQQIutRCoJ2waGJ8OC06TrPxoYJUT18kt43ndjbW7NmTUfatVvHokVv06ZN6Qw9v3g9UggJIYTIWm7tNxRAdw+bxgvUhnozoHCTDEnj/Pn72NtbU6xYwmjQ1asXJDBwBDY28vWaVchPSgghRNZw9ygcngg395rG81WBetMNl8IyYI4uvV7x/ffHGDNmD1WrFuDvv/uZjAotRVDWIj8tIYQQmduDM3B4EgTuMI3nKWvoBF2yI5hlzPQU9+49o2/fbfzxx3UAjh69zcKFJxg+vFaGnF+kPc0nNlmwYAFeXl7Y2tpSq1Ytjh8//tLt586dS+nSpcmVKxeenp6MHDmSqKioDMpWCCFEhnl0GX7tAqurmhZBTsXgrVXQ5zyUejfDiqBt265QseJCYxEEMHJkbQYO9M6Q84v0oWmL0Pr16xk1ahSLFi2iVq1azJ07l5YtW+Lv74+bm1ui7deuXcvYsWNZtmwZPj4+BAQE0LdvX8zMzPjmm280eAZCCCHS3NNA8JsKl38GpU+I5y4EdSZB+X5gkXF3YkVExDB69B8sXnzKGCtQIDcrVrSnRYviGZaHSB9mKn46XA3UqlWLGjVqMH/+fAD0ej2enp4MHz6csWPHJtp+2LBhXL58mb17E64Pjx49mmPHjnHo0KEUnTMsLAwnJydCQ0NxdJTRPYUQItN4dhuOTocLP4E+LiFu5wa1xkOlQWBpm6EpnTp1l+7dtxAQ8MgYa9++DEuXtsHV1S5Dc8np0uv7W7NLYzExMZw6dYpmzZolJGNuTrNmzfDz80tyHx8fH06dOmW8fBYYGMjOnTtp3bp1sueJjo4mLCzM5J8QQohMJOI+7BsJP5WAc4sTiiBbF6g3CwYEQrWPMrwIunUrFB+fZcYiyM7OiqVL27BlSxcpgrIRzS6NhYSEoNPpcHd3N4m7u7tz5cqVJPfp3r07ISEh1KtXD6UUcXFxDB48mPHjxyd7nlmzZjF16tQ0zV0IIUQaiHwMJ+fA6XkQ9zwhbu0A3qPAeyTYOGmWnqenEx9+WJ25c4/h7V2AtWs7UapU+sxQL7SjeWfp1Ni/fz8zZ87khx9+4PTp02zZsoXffvuNadOmJbvPuHHjCA0NNf67detWstsKIYTIANFh4DcNfiwKx79IKIIsc0GNz6B/IPhM0aQI+m9vkVmzmvHNNy04cqS/FEHZlGYtQq6urlhYWHD//n2T+P3798mfP3+S+0yaNIlevXoxYMAAACpWrEhERAQffPABEyZMwNw8cV1nY2ODjY1N2j8BIYQQqRP7HM4sgOOzISqhzw0W1ob+PzXHQW5t5uQKC4tmxIjfqVnTgw8/rGGM29paMnJkHU1yEhlDsxYha2trvL29TTo+6/V69u7dS506Sf/SPX/+PFGxY2FhASSu4oUQQmQScdHwz3z4qTgc/CyhCDKzgIoD4P2r0GSeZkWQn98tqlRZxMqVZxk9+g8uX36oSR5CG5rePj9q1Cj69OlD9erVqVmzJnPnziUiIoJ+/foB0Lt3bzw8PJg1axYAbdq04ZtvvqFq1arUqlWLa9euMWnSJNq0aWMsiIQQQmQS+ji4uBL8PodnN19YYQZlu0OdyeBSUrP04uL0TJ9+kOnTD6LTGf6YtrIy5/r1J5Qtm0+zvETG0rQQ6tq1Kw8fPsTX15fg4GCqVKnCrl27jB2ob968adICNHHiRMzMzJg4cSJ37twhX758tGnThhkzZmj1FIQQQvyX0sOVdeA3BZ5cNV1XsiP4TAXXCpqkFi8w8Ak9e27Bz++2Mebj48nPP3egaFGXl+wpshtNxxHSgowjJIQQ6UQpuPYLHPGFkAum64q+BXWngbu2ozArpVi16izDhv1OeHgMABYWZvj6NmT8+Pomc4aJzCW9vr9lrjEhhBBvRikI2m2YEPX+KdN1no2g7nTwqKtJai96+jSKQYN2sGHDRWOsWDEX1qzpSO3ahTTMTGhJCiEhhBCv79YBQwF05z+j+xeoBXVnQOEmGTIjfEqYmcGxYwmXwvr2rcK8ea1wcJA7i3MyKYSEEEKk3r1jcGgi3NxjGs9X2dACVOztTFMAxXNysmX16g507LiBH35oTefO5bVOSWQCUggJIYRIuQdn4fAkCPzVNJ6nDPh8DqU6Zdhs8K/i7x+Cvb01hQol9CepX78IQUEfYW9vrWFmIjORQkgIIcSrPboCRyZDwAbTuFNRqDMFyvYA88wxjIlSiiVLTjFy5G5q1y7Enj29MTdPaJ2SIki8SAohIYQQyXsaCEc/h0urDbfFx8vtAbUnQYX3wcJKu/z+4+HDCAYM+JXt2/0B2LcviCVLTjF4cHWNMxOZlRRCQgghEnt2B45Nh/M/JswGD5ArH9QaD5UHZ/hs8K+ye/c1+vbdRnBwuDE2eLA3vXtX1jArkdlJISSEECLB8weGiVDP/AC66IS4jbNhQtSqw8E6t2bpJSUqKo5x4/Ywd+4xY8zV1Y5ly9rSpk1pDTMTWYEUQkIIISDqCZz8Ck5/B7ERCXGr3OA9ErxHga2zZukl5/z5+/TosYXz5x8YYy1bFmfFivbkz5+5CjaROUkhJIQQOVnMM0Pxc/IriA5NiFvaQpVhUGMM2Llql99L/PvvU2rUWEp0tA4AGxsLvvyyOcOG1TTpHC3Ey0ghJIQQOVFsJJxZYLgMFj8bPIC5FVT6AGpN0Gw2+JQqUsSZ3r0rs3TpaSpWdGPt2k5UqOCmdVoii5FCSAghchJdDJxbCsdmQMS9hLiZBZTvC3UmgWMRzdJLrW+/bUmRIk6MHu2Dra18pYnUk98aIYTICfRxhlvg/aZC2L8vrDCDMu9BncmQp5Rm6b1KREQMo0f/Qe3ahejbt4oxbm9vzYQJDbRLTGR5UggJIUR2pvRwZT34TYYnV03XlegAPlMhX0VtckuhU6fu0qPHFvz9H7FmzXnq1y9M8eJ5tE5LZBNSCAkhRHakFFzbBkcmQcgF03VeraDuNMifuQcZ1On0fPXVESZO3EdcnGEwR71eceHCAymERJqRQkgIIbITpeDfPwwTot4/abquUAPDhKiF6muTWyrcuhVKr15bOXAg4TKet3cB1q7tRKlSeTXMTGQ3UggJIUR2cfugoQC687dpPH9NqDcDCjfNdDPCJ2XDhosMGrSDp0+jAEPKY8fWY8qURlhbZ475zET2IYWQEEJkdfeOG2aE//cP03i+SoYWoGLvZIkC6NmzaIYP/52VK88aY56ejqxe3YGGDb20S0xka1IICSFEVvXwnKEAur7dNO5SGup+DqXeBTNzbXJ7DdHROv7447pxuWvX8ixc+DYuLrk0zEpkd1IICSFEVvPYH45MBv/1pnFHL/CZAmV7gHnW+3h3dbVj5cr2vPvuRubPf4uePSthlgVaskTWlvXeKUIIkVOFBhnGAbq0ynBbfLzcBaH2JKjwPlhYa5ZeagUGPsHe3gp394Q5wZo3L86//36Ms3PmmtleZF9SCAkhRGYXfheOTofzP4I+NiGeKx/UGgeVBoNV1rl8pJRi1aqzDBv2Ow0aFGHHjvdMWn6kCBIZSQohIYTIrJ4/NMwFdvYHiItKiNs4Q41PoeoIsM5aM6w/eRLJ4MG/sWHDRQB27rzK8uVneP/9qhpnJnIqKYSEECKziXoCJ7+G03MhNiIhbpUbvD8G79Fg66xRcq9v//4gevXayu3bYcZY375V6Ny5nIZZiZxOCiEhhMgsYsLh9Hdw8iuIfpoQt7SFykOh5hiwy6dZeq8rJkaHr+8+vvzyMEoZYi4utixe/A6dO5fXNjmR40khJIQQWouNhLML4fgsiAxJiJtbQcWBUHuCoUN0FnTlSgg9emzh9OmEme4bN/Zi1aoOFCrkqGFmQhhIISSEEFrRxcD5n+DYdEOH6Hhm5lC+r+FOMCcvrbJ7Y4GBT6hWbTGRkXEAWFmZM2NGE0aP9sHcXG6LF5mDFEJCCJHR9HFw6WfDrfBhQabrSnczzAifp5QmqaWlYsVc6NixLGvWnKd06bysXduJatUKaJ2WECakEBJCiIyi9OC/wTAY4pMA03XF2xlGg85XSZvc0smCBa0pUsSJCRMaYGdnpXU6QiTyRoVQVFQUtrYy3oMQQryUUoZpMA5PgpDzpuu8WkLdaZC/hja5pZGoqDjGjduDj4+nSQdoJydbZsxoqmFmQrxcqieh0ev1TJs2DQ8PD3Lnzk1gYCAAkyZN4qeffkrzBIUQIstSCoL+hLW1YVt70yLIoz50PQCddmX5Iuj8+fvUrLmUuXOP8cEHO7h1K1TrlIRIsVQXQtOnT2fFihV8+eWXWFsnDOVeoUIFfvzxxzRNTgghsqzbf8OGRrC5BQQfT4jnrwGddhuKoEINNEsvLej1iu++O0qNGks5f/4BAJGRsZw8efcVewqReaT60tiqVatYsmQJTZs2ZfDgwcZ45cqVuXLlSpomJ4QQWU7wCcMlsKDdpnHXioZLYMXbQjaYSPTevWf067eN3bsTZouvWNGNtWs7UaGCm4aZCZE6qS6E7ty5Q4kSJRLF9Xo9sbGxSewhhBA5wMPzcMQXrv1iGncpZbgLrHQXw23x2cC2bVcYMOBXQkKeG2MjR9Zm5sym2NrKPTgia0n1b2y5cuX4+++/KVKkiEl806ZNVK0qc8UIIXKYxwHgNwWurANUQtzRC+pMhnI9wTx7FAcRETGMHv0HixefMsYKFMjNihXtadGiuIaZCfH6Uv3u9PX1pU+fPty5cwe9Xs+WLVvw9/dn1apV7NixIz1yFEKIzCc0CI5Og4srQekS4vYFoPZEqDgALKyT3T0rCguLZvPmy8bl9u3LsHRpG1xd7TTMSog3Y6aUUq/ezNTff//N559/ztmzZwkPD6datWr4+vrSokWL9MgxTYWFheHk5ERoaCiOjjK8uxAilcLvwtEZcH4p6F/oDpDLFWqOhcofglUu7fJLZ9u2XaF79y18910r+vevilk26O8ksob0+v5+rUIoK5NCSAjxWp4/hOOz4ewCiItKiNs4QfVPodoIsHbQLr90cOtWKPb21uTJY1rYPXgQgZubvUZZiZwqvb6/U91zr1ixYjx69ChR/OnTpxQrVixNkhJCiEwj6qnhLrAfi8GprxOKICt7qDUBBtwwTIqazYqgDRsuUqnSIgYN2sF//16WIkhkJ6nuIxQUFIROp0sUj46O5s6dO2mSlBBCaC4mHP6ZByfmQPTThLiFDVQZargMZpdPs/TSS1hYNCNG/M7KlWcB2LTpEmvXnqdHj+w19YcQ8VJcCG3fvt34ePfu3Tg5ORmXdTode/fuxcvLK02TE0KIDBcbCecWwbFZEPkwIW5uCRUHGlqBHDy0yy8d+fndokePLdy48dQY69q1PK1bl9QuKSHSWYoLofbt2wNgZmZGnz59TNZZWVnh5eXF119/nabJCSFEhtHFwIVlcHQ6hL/Qum1mDuV6Qx1fcCqqXX7pKC5Oz4wZB5k27SA6neEymIODNQsWtKZnz0rSIVpkaykuhPR6PQBFixblxIkTuLq6pltSQgiRYfQ6uPwz+E2F0Bum60p3NQyGmKe0NrllgMDAJ/TsuQU/v9vGmI+PJz//3IGiRV00zEyIjJHqPkI3btx49UZCCJHZKT0EbIIjk+Hxf6YHKt7WMB1GvuzdL+batcdUq7aYZ89iALCwMMPXtyHjx9fH0jJ7jIItxKu81nCnERERHDhwgJs3bxITE2OybsSIEWmSmBBCpAulIHCH4U6wh2dN1xVpDnWnQ4Ga2uSWwYoXd6Fp02L88ssVihVzYc2ajtSuXUjrtITIUKkuhP755x9at27N8+fPiYiIIE+ePISEhGBnZ4ebm5sUQkKIzEkpuLkXDk+Ee8dM13nUMxRAng21yU0jZmZmLF3ahiJFnJg2rTEODjZapyREhkt12+fIkSNp06YNT548IVeuXBw9epR///0Xb29vvvrqq/TIUQgh3sztQ7ChMWxqbloEuVeHTrug68FsXwTFxOgYO3YPv/0WYBJ3dbVj7txWUgSJHCvVI0s7Oztz7NgxSpcujbOzM35+fpQtW5Zjx47Rp08frly58uqDaEhGlhYiBwk+abgEFrTLNO5aAXymQYl2kAPuiPL3D6F79y2cPn0PNzd7zp0bjLt7bq3TEiJVMs3I0lZWVpibG3Zzc3Pj5s2bADg5OXHr1q00S0wIIV5byAXY1hHW1DAtglxKQuu10PsslGyf7YsgpRSLF5+katXFnD59D4AnTyI5fFg+q4WIl+o+QlWrVuXEiROULFmShg0b4uvrS0hICKtXr6ZChQrpkaMQQqTMk6twZApc+R/wQmO3Q2GoMxnK9zYMjJgDPHwYwYABv7J9u78xVrp0Xtau7US1agU0zEyIzCXVnwgzZ87k2bNnAMyYMYPevXszZMgQSpYsyU8//ZTmCQohxCuF/Qt+0+DiClAvTAFknx9qTYSKA8Ay5/SB2b37Gn37biM4ONwYGzKkOl991QI7OysNMxMi85HZ54UQWVf4PTg2E84tBn1sQtw2r2EusCofgpWddvllsKioOMaN28PcuQkdwl1d7Vi2rC1t2mTfQSFFzpBp+ggl5/Tp07zzzjtpdTghhEje8xA48Bn8VBzOzE8ogmycDAMhDrwBNT7JUUUQwIMHESxffsa43KpVCc6fHyJFkBAvkapCaPfu3XzyySeMHz+ewMBAAK5cuUL79u2pUaOGcRoOIYRIF9GhcHgy/FQMTs6BuEhD3NIOao6D/oFQeyJYO2ibp0YKF3Zi4cK3sbGxYN68Vuzc2Z38+eXuMCFeJsV9hH766ScGDhxInjx5ePLkCT/++CPffPMNw4cPp2vXrly4cIGyZcumZ65CiJwqNgJOzzMUP1FPEuIWNobLXzXHgp2bdvlp5N69Z9jbW+PomND/6b33KlKvXmE8PZ00zEyIrCPFLULfffcds2fPJiQkhA0bNhASEsIPP/zA+fPnWbRokRRBQoi0FxcFp+bCj8Xg0PiEIsjcEioPhv7XoNE3ObII2rbtCpUqLWLEiN8TrZMiSIiUS3FnaXt7ey5evIiXlxdKKWxsbNi3bx9169ZN7xzTlHSWFiIL0MXChWVwdBqE30mIm5lDuV5Q2xeci2mXn4YiImIYPfoPFi8+ZYxt2tSZTp3KaZiVEOkvvb6/U3xpLDIyEjs7Q8dDMzMzbGxsKFBAxqIQQqQhvQ4urwG/qRAaaLquVBfwmQJ5c27r86lTd+nefQsBAY+Msfbty9CwoZd2SQmRxaVqHKEff/yR3LkNHe/i4uJYsWIFrq6uJtvIpKtCiFRTegjYDEd84fF/pukp1gbqfg5uVTRJLTPQ6fR89dURJk7cR1yc4aYUOzsrvvuuFf37V8Usm4+QLUR6SvGlMS8vr1e+2czMzIx3k6XUggULmDNnDsHBwVSuXJnvv/+emjVrJrv906dPmTBhAlu2bOHx48cUKVKEuXPn0rp16xSdTy6NCZGJKAWBvxnmA3t4xnRd4WaGW+EL1tYktczi1q1QevXayoED/xpj3t4FWLu2E6VK5dUwMyEyluaXxoKCgtLspPHWr1/PqFGjWLRoEbVq1WLu3Lm0bNkSf39/3NwSd36MiYmhefPmuLm5sWnTJjw8PPj3339xdnZO89yEEOns371weCLcO2oaL1gX6k0Hz0aapJWZBAQ8olatH3n6NAowTI02dmw9pkxphLW1hcbZCZE9aDqydK1atahRowbz588HQK/X4+npyfDhwxk7dmyi7RctWsScOXO4cuUKVlavN0y8tAgJobE7RwwF0K19pnF3b6g7HbxaZvvJUFNKr1e0br2G3buv4+npyOrVHaQ/kMixMv3I0qkVExPDqVOnaNasWUIy5uY0a9YMPz+/JPfZvn07derUYejQobi7u1OhQgVmzpyJTqdLcnshRCZy/zRsaQ3r6poWQXnLQ9st0OMEFG0lRdALzM3NWL68HR98UI2zZwdLESREOtBsGuaQkBB0Oh3u7u4mcXd3d65cuZLkPoGBgfz111/06NGDnTt3cu3aNT788ENiY2OZPHlykvtER0cTHR1tXA4LC0u7JyGEeLWQi4ZO0Fe3mMadS4DPVCjdFczlMk9cnJ4ZMw5Sv34RmjQpaowXKODA4sVtNMxMiOxNs0Lodej1etzc3FiyZAkWFhZ4e3tz584d5syZk2whNGvWLKZOnZrBmQoheHIN/KbA5bXAC1fgHQpDHV8o1xssZCZ0gMDAJ/TsuQU/v9t4eDhw7twQ8uTJpXVaQuQIml0ac3V1xcLCgvv375vE79+/T/78+ZPcp0CBApQqVQoLi4S/HsuWLUtwcDAxMTFJ7jNu3DhCQ0ON/27dupV2T0IIkVjYTfhjICwvYxgTKL4Iss8PTb6H9wOgYn8pggClFKtWnaVKlUX4+d0GIDg4nH37bmicmRA5x2sVQtevX2fixIm89957PHjwAIDff/+dixcvpvgY1tbWeHt7s3fvXmNMr9ezd+9e6tSpk+Q+devW5dq1ayaTuwYEBFCgQAGsra2T3MfGxgZHR0eTf0KIdBARDH+NgGUl4fyPoP6/755tHmjwJfS/DlWHgaXNy4+TQzx5Ekm3bpvp0+cXnj0z/CFXrJgLhw69L6NEC5GBUl0IHThwgIoVK3Ls2DG2bNlCeHg4AGfPnk328lRyRo0axdKlS1m5ciWXL19myJAhRERE0K9fPwB69+7NuHHjjNsPGTKEx48f89FHHxEQEMBvv/3GzJkzGTp0aGqfhhAirUQ+goNjDPOB/fM96P6/ddba0dAHaMANqPEpWNlpm2cmsn9/EJUqLWLDhoQ/Hvv2rcKZM4OoXbuQhpkJkfOkuo/Q2LFjmT59OqNGjcLBwcEYb9KkifE2+JTq2rUrDx8+xNfXl+DgYKpUqcKuXbuMHahv3ryJuXlCrebp6cnu3bsZOXIklSpVwsPDg48++ogxY8ak9mkIId5UdCic+hZOfQMxzxLilnZQbQRU/xRy5dEuv0woJkbH5Mn7mD37MPEDlzg727JkyTt07lxe2+SEyKFSPY5Q7ty5OX/+PEWLFsXBwYGzZ89SrFgxgoKCKFOmDFFRUemVa5qQcYSEeEOxEXD6ezj5ZcJs8AAWNlB5CNQcC/buye+fgwUGPqFSpYVERMQC0KiRF6tWtZfZ4oVIgUwzjpCzszP37t1LFP/nn3/w8PBIk6SEEJlQXBScngc/FodD4xKKIHNLqDQI3r8Kjb+VIuglihVz4bvvWmFlZc6XXzZj797eUgQJobFUXxrr1q0bY8aMYePGjZiZmaHX6zl8+DCffPIJvXv3To8chRBa0sXCxeXgNw3Cb7+wwgzK9YQ6k8G5uGbpZWYhIc+xs7PCzi7hDrn3369Kw4ZelCghlw2FyAxS3SI0c+ZMypQpg6enJ+Hh4ZQrV44GDRrg4+PDxIkT0yNHIYQW9Dq4tNpwG/yfg0yLoFKdoe8FeGuVFEHJ2L37GhUrLuTTT/8wiZuZmUkRJEQm8tpzjd28eZMLFy4QHh5O1apVKVmyZFrnli6kj5AQr6D0hlGgD/vC48um64q9Az6fg3tVbXLLAqKi4hg3bg9z5x4zxnbseI+33y6lYVZCZH2azz4f79ChQ9SrV4/ChQtTuHDhNEtECKExpeDGTjg8CR78Y7qucFOoOw0KJj3GlzA4f/4+PXps4fz5B8ZYq1Yl8PYuqGFWQoiXSXUh1KRJEzw8PHjvvffo2bMn5crJwF9CZHk3/4JDE+HefyY8LlAH6s2Awo21ySuL0OsV339/jDFj9hAdbRhI0sbGgjlzmjNsWE3MZCJZITKtVBdCd+/eZd26dfzvf//jiy++oFKlSvTo0YP33nuPQoVkIDAhspS7fnB4oqEQepFbVag7HYq+JbPBv8K9e8/o128bu3dfN8YqVnRj7dpOVKjgpmFmQoiUeO0+QgA3btxg7dq1/O9//+PKlSs0aNCAv/7669U7akj6CAkB3P/HUADd2Gkaz1vOcAmsRAcpgFLA3z+EevWWExLy3BgbObI2M2c2xdY2S81pLUSml17f329UCAHodDp+//13Jk2axLlz59DpdGmVW7qQQkjkaI8uGTpBX91sGncubpgOo3Q3MLdIel+RiE6np0mTVRw8+C8FCuRmxYr2tGghd9EJkR4yTWfpeIcPH2bNmjVs2rSJqKgo2rVrx6xZs9IsMSFEGnp6HY5MMZ0NHsDBE2r7Qvk+Mhv8a7CwMGf16g5MnPgX33zTEldXmU9NiKwm1S1C48aNY926ddy9e5fmzZvTo0cP2rVrh51d1vgAkBYhkaOE3YKj0+DCsoTZ4AHs3KHWBKg0ECxttcsvC9Hp9Hz11RHq1y+Cj4+n1ukIkeNkmhahgwcP8umnn9KlSxdcXV3TLBEhRBqKCIZjs+DcooTZ4AFs80CNMVB1KFjZa5dfFnPrVii9em3lwIF/KVrUmTNnBuPoaKN1WkKINJDqQujw4cPpkYcQIi1EPoYTX8I/30NcQgderB3AezR4fww2MrdVamzYcJFBg3bw9KlhQumgoKf88cd13n1Xhg4RIjtIUSG0fft23nrrLaysrNi+fftLt23btm2aJCaESIXoMDj1LZz6BmLCEuKWuaDqCKjxKeTKq11+WVBYWDQjRvzOypVnjTFPT0dWr+5Aw4Ze2iUmhEhTKeojZG5uTnBwMG5ubpibJz89mZmZmdw1JkRGio2AfxbAidkQ9TghbmENlQZDrXFgn1+7/LIoP79b9Oy5lcDAJ8ZY167lWbjwbVxccmmYmRA5l6Z9hPR6fZKPhRAaiYuGc0vg2Ax4fj8hbmYBFd6H2pPAUTr0plZcnJ4ZMw4ybdpBdDrD34gODtYsWNCanj0ryQjRQmRDqZ59ftWqVURHRyeKx8TEsGrVqjRJSgiRDF0snFsKy0rCvhEvFEFmULYn9LsCLZZIEfSarl9/zKxZh4xFkI+PJ2fPDqZXr8pSBAmRTaX69nkLCwvu3buHm5vp0PGPHj3Czc1NLo0JkR70OrjyP/CbYhgT6EWl3jUMhphXOu+mhXnzjjFq1G58fRsyfnx9LC1T/feiECIdZJrb55VSSf5ldPv2bZyc5G4UIdKUUnBtq2E06EcXTdcVbW2YDsO9mja5ZQNPnkRiZ2eFjU3CR+Hw4TVp0qSozBMmRA6R4kKoatWqmJmZYWZmRtOmTbG0TNhVp9Nx48YNWrVqlS5JCpHjKAU3fofDk+DBadN1no0NE6J6+GiTWzaxf38QvXptpVu38syZ08IYNzMzkyJIiBwkxYVQ+/btAThz5gwtW7Ykd+7cxnXW1tZ4eXnRqVOnNE9QiBzn5j7DhKh3j5jGC9SGejOgcBNt8somYmJ0TJ68j9mzD6MUfPWVH61alaBp02JapyaE0ECKC6HJkycD4OXlRdeuXbG1lWH5hUhTd48aCqCbe03j+apAvemGS2HSYfeN+PuH0L37Fk6fvmeMNW7sRenSMkq+EDlVqvsI9enTJz3yECLnenDGcAkscIdpPE9ZQx+gkh3ATDrsvgmlFEuWnGLkyN1ERsYBYGVlzowZTRg92gdzcykwhcipUlQI5cmTh4CAAFxdXXFxcXnpbaSPHz9Odp0Q4gWPLsORyRCw0TTuVAx8pkCZ7mBuoUlq2cnDhxEMGPAr27f7G2OlS+dl7dpOVKtWQMPMhBCZQYoKoW+//RYHBwfjYxlPQ4g38DTQcBv85TWgXhigNHchqDMJyvcDCyvN0stO/P1DaNRoJcHB4cbYkCHV+eqrFtjZyWsshHiNcYSyOhlHSGjm2W04Og0uLAN9XELczg1qTYBKH4Cl9L1LS7GxOurWXcaJE3dxdbVj2bK2tGlTWuu0hBCvIb2+v1Pd8eD06dOcP3/euLxt2zbat2/P+PHjiYmJSbPEhMg2Iu7Dvo/hpxKGaTHiiyBbF6j/BQwIhGojpAhKB1ZWFqxZ05GOHcty/vwQKYKEEImkuhAaNGgQAQEBAAQGBtK1a1fs7OzYuHEjn332WZonKESWFfkY/h4HPxaD09+B7v+nprF2gDqTYcANqDkGrOy1zTOb0OsV8+Yd459/7pnES5bMy+bNXcifP3cyewohcrJU3zUWEBBAlSpVANi4cSMNGzZk7dq1HD58mG7dujF37tw0TlGILCY6DE7PhZNfQ0xYQtwyF1QdDtU/BTu5XTst3bv3jH79trF793XKlHHl1KkPpA+QECJFXmuKjfgZ6Pfs2cM777wDgKenJyEhIWmbnRBZSexzOLMAjs+GqEcJcQtrqDQIao6D3HKXUlrbtu0KAwb8SkjIcwCuXAnh99+v0qmTzL0mhHi1VBdC1atXZ/r06TRr1owDBw6wcOFCAG7cuIG7u3uaJyhEphcXDeeXwrEZEBGcEDezgAr9oPYkcCysXX7ZVEREDKNH/8HixaeMsQIFcrNiRXtatCiuYWZCiKwk1YXQ3Llz6dGjB7/88gsTJkygRIkSAGzatAkfH5n7SOQg+ji4uBL8PodnN19YYQZlu0OdKeBSQqvssrVTp+7SvfsWAgISWt7aty/D0qVtcHW10zAzIURWk2a3z0dFRWFhYYGVVea+Li+3z4s3pteB/3rDYIhPr5muK9kRfKaCawVtcsvmdDo9c+YcYdKkfcTFGS7R29lZMXduSwYMqCZjnAmRjaXX93eqW4TinTp1isuXLwNQrlw5qlWrlmZJCZEpKQXXfjFMh/Hooum6om8ZpsNw99YktZziypUQkyLI27sAa9d2olSpvBpnJoTIqlJdCD148ICuXbty4MABnJ2dAXj69CmNGzdm3bp15MuXL61zFEJbSkHQLkMBdP+U6TrPRlB3OnjU1SS1nKZ8eTemTWvM+PF7GTu2HlOmNMLaWqYhEUK8vlSPIzR8+HDCw8O5ePEijx8/5vHjx1y4cIGwsDBGjBiRHjkKoZ1b+2FdfdjS2rQIKlAL3t0Dnf+SIigdPXsWbWz9iffppz4cPz6QmTObShEkhHhjqe4j5OTkxJ49e6hRo4ZJ/Pjx47Ro0YKnT5+mZX5pTvoIiRS5dwwOTYSbe0zj+SobWoCKvQ3SHyVd+fndomfPrfTqVYkpUxppnY4QQmOZpo+QXq9PskO0lZWVcXwhIbKsB2fgsC8E/moaz1MGfD6HUp3ALNUNqSIV4uL0zJhxkGnTDqLTKaZNO0iLFsXx8fHUOjUhRDaU6kKoSZMmfPTRR/zvf/+jYMGCANy5c4eRI0fStGnTNE9QiAzx6IrhLrCADaZxp6KG2+DL9gBzuQyT3gIDn9Cz5xb8/G4bY7VrF6JAAZkeQwiRPlJdCM2fP5+2bdvi5eWFp6fhL7Rbt25RoUIFfv755zRPUIh0FRoEflPg0mpQL7Ro5vYwDIRY4X2wyNxDQmQHSilWrz7HsGE7efbMMHmzhYUZvr4NGT++PpaW0gonhEgfqS6EPD09OX36NHv37jXePl+2bFmaNWuW5skJka4enod19UznA8uVD2qNh8qDZTb4DPLkSSRDhvzG+vUJQxIUK+bCmjUdqV27kIaZCSFyglQVQuvXr2f79u3ExMTQtGlThg8fnl55CZG+Ih/DtvYJRZCNM9T4zDApqrVchsko/v4hNG++mlu3EorRvn2rMG9eKxwcbDTMTAiRU6S4EFq4cCFDhw6lZMmS5MqViy1btnD9+nXmzJmTnvkJkfb0cfBbNwgNNCy7VYPOe8HWWdO0cqIiRZxxdrbl1q0wXFxsWbz4HTp3Lq91WkKIHCTFF97nz5/P5MmT8ff358yZM6xcuZIffvghPXMTIn38PQ7+/dPwOFc+aLdViiCN2NpasnZtJ1q3Lsm5c0OkCBJCZLgUjyOUK1cuLl++jJeXF2C4jT5XrlwEBQVRoECB9MwxTck4Qjnc5bWws4fhsbmloSWoUANtc8ohlFIsXXqaevUKU66cjEAvhEid9Pr+TnGLUHR0NPb29gk7mptjbW1NZGRkmiUjRLq6fxr+6J+w3GiuFEEZ5OHDCNq3X8+gQTvo3n0z0dFxWqckhBBAKjtLT5o0CTs7O+NyTEwMM2bMwMnJyRj75ptv0i47IdLK8weGztFxUYblCv2hyoeappRT7N59jb59txEcHA7A2bP32bEjgE6dymmcmRBCpKIQatCgAf7+/iYxHx8fAgMDjctmMuWAyIx0sfBrF3h2y7BcoDY0XSBTZKSzqKg4xo7dw3ffHTPGXF3tWLasLW3alNYwMyGESJDiQmj//v3pmIYQ6Wj/KLh9wPDYvgC03QyWcmt2ejp//j7du2/hwoUHxljLlsVZsaI9+fPL8ARCiMwj1QMqCpGlnF8GZ+YbHltYQ9stkLugtjllY3q94vvvjzFmzB6io3UA2NhY8OWXzRk2rCbm5tIKJ4TIXKQQEtnX3aOwd0jCctMfoGBt7fLJAc6fv8+oUX+g1xtuRq1Y0Y21aztRoYKbxpkJIUTSZAIfkT2F34PtHUFnmLeKKkOhYv+X7yPeWOXK+Rk/vh4AI0fW5vjxgVIECSEyNWkREtlPXDRs7wQR9wzLhRpAo2+1zSmbev48FltbS5NLXr6+DWnRojj16xfRMDMhhEgZaRES2YtS8NcwuOdnWHbwhDYbZQb5dHDq1F2qVl3M118fMYlbWVlIESSEyDJeqxD6+++/6dmzJ3Xq1OHOnTsArF69mkOHDqVpckKk2tlFcP5Hw2NLW8P0GXZyaSYt6XR6Zs8+RO3aPxEQ8IgJE/7i9Ol7WqclhBCvJdWF0ObNm2nZsiW5cuXin3/+ITo6GoDQ0FBmzpyZ5gkKkWK3/4Z9IxKWmy8Fd2/t8smGbt0KpWnTVYwdu5e4OD0AlSq5kzu3tcaZCSHE60l1ITR9+nQWLVrE0qVLsbJKuNxQt25dTp8+nabJCZFiYbfg13cNM8sDeI+Ccj21zSmb2bDhIpUqLeLAgX8Bw3iU48bV48iR/pQqlVfj7IQQ4vWkurO0v78/DRoknp/JycmJp0+fpkVOQqRObCRs72CYRgOgcDNoMFvbnLKRsLBoRoz4nZUrzxpjnp6OrF7dgYYNvbRLTAgh0kCqC6H8+fNz7do14yz08Q4dOkSxYsXSKi8hUkYp+PMDuH/KsOxUFN5ZZ5hZXrwxf/8QWrdeS2DgE2Osa9fyLFr0Ds7OthpmJoQQaSPVl8YGDhzIRx99xLFjxzAzM+Pu3busWbOGTz75hCFDhrz6AEKkpdNz4fLPhseWdtBuG+SSyzRppVAhRywtDR8TDg7WrFrVnv/9r5MUQUKIbCPVhdDYsWPp3r07TZs2JTw8nAYNGjBgwAAGDRrE8OHDXyuJBQsW4OXlha2tLbVq1eL48eMp2m/dunWYmZnRvn371zqvyOL+3QMHPklYfmsl5KuoXT7ZkL29NWvXdqRRIy/Onh1Mr16VZXJlIUS2YqaUUq+zY0xMDNeuXSM8PJxy5cqRO/frTaS4fv16evfuzaJFi6hVqxZz585l48aN+Pv74+aW/G3PQUFB1KtXj2LFipEnTx5++eWXFJ0vLCwMJycnQkNDcXR0fK2cRSbwNBDW1ICox4blWuOh3gxtc8rilFKsXn2OunU9KV48T6J1UgAJIbSUXt/fr10IpZVatWpRo0YN5s83TIyp1+vx9PRk+PDhjB07Nsl9dDodDRo04P333+fvv//m6dOnUgjlJLERsLYOhJw3LBd723BJzNxC27yysCdPIhk8+Dc2bLhIrVoe/P13P6ys5PUUQmQe6fX9neoepY0bN37pX4Z//fVXio8VExPDqVOnGDdunDFmbm5Os2bN8PPzS3a/zz//HDc3N/r378/ff//90nNER0cbxzoCwwspsjClYFe/hCLIpRS89bMUQW9g//4gevXayu3bhvfGsWN32LEjgA4dymqcmRBCpL9UF0JVqlQxWY6NjeXMmTNcuHCBPn36pOpYISEh6HQ63N3dTeLu7u5cuXIlyX0OHTrETz/9xJkzZ1J0jlmzZjF16tRU5SUyseNfQMBGw2NrB2j3C9g6a5lRlhUTo8PXdx9ffnmY+HZhFxdblixpI0WQECLHSHUh9O23SU9eOWXKFMLDw984oZd59uwZvXr1YunSpbi6uqZon3HjxjFq1CjjclhYGJ6enumVokhPgTvh0ISE5dZrIK98Yb8Of/8QunffYjI1RuPGXqxa1YFCheSSsRAi50izwVZ69uxJzZo1+eqrr1K8j6urKxYWFty/f98kfv/+ffLnz59o++vXrxMUFESbNm2MMb3eMMy/paUl/v7+FC9e3GQfGxsbbGxsUvNURGb0OAB2dgf+v+nC53Mo3ualu4jElFIsWXKKkSN3ExlpGIXbysqcGTOaMHq0j8ks8kIIkROkWSHk5+eHrW3qxhaxtrbG29ubvXv3Gm+B1+v17N27l2HDhiXavkyZMpw/f94kNnHiRJ49e8Z3330nLT3ZVXQYbGsP0aGG5ZIdofaEl+4ikvbPP8EMHvybcbl06bysXduJatUKaJiVEEJoJ9WFUMeOHU2WlVLcu3ePkydPMmnSpFQnMGrUKPr06UP16tWpWbMmc+fOJSIign79+gHQu3dvPDw8mDVrFra2tlSoUMFkf2dnZ4BEcZFNKD383gseXzYs5y0PrVaAWaqHwBJAtWoFGDWqNt98c5QhQ6rz1VctsLOzevWOQgiRTaW6EHJycjJZNjc3p3Tp0nz++ee0aNEi1Ql07dqVhw8f4uvrS3BwMFWqVGHXrl3GDtQ3b97E3Fy+9HKsI1Ph+nbDYxtnQ+doawctM8pSoqPjsLa2MLnTc+bMprRqVYLmzYu/ZE8hhMgZUjWOkE6n4/Dhw1SsWBEXF5f0zCvdyDhCWcjVrbD9/1sgzcyh407waqltTlnI+fP36d59C0OGVOfDD2tonY4QQryR9Pr+TlVTi4WFBS1atJBZ5kX6C7kIv/dOWK7/hRRBKaTXK7777ig1aizlwoUHjB79B5cuPdQ6LSGEyJRSfWmsQoUKBAYGUrRo0fTIRwiIemLoHB37/8MxlHkPqn/y0l2Ewb17z+jXbxu7d183xkqWzPOSPYQQImdLdeeb6dOn88knn7Bjxw7u3btHWFiYyT8h3oheB7+9B0+vGZbzVYEWP4LMc/VK27ZdoVKlRSZF0MiRtTl+fCDlyuXTMDMhhMi8Utwi9PnnnzN69Ghat24NQNu2bU06YMZPyqjT6dI+S5FzHJoAQbsNj3O5QvtfwMpO05Qyu4iIGEaP/oPFi08ZYwUK5GbFiva0aCEdooUQ4mVS3FnawsKCe/fucfny5Zdu17BhwzRJLL1IZ+lM7Mo6Q2sQgJkFdN4Dno00TSmzCwh4RJs2/yMg4JEx1r59GZYubYOrqxSQQojsQ/NJV+Prpcxe6Igs6sEZ2P1+wnKjb6UISgF3d3tiYgytsHZ2Vnz3XSv696/60omRhRBCJEhVHyH5cBXp4nmIoXN0XKRhuXxfqJp4ZHGRmJOTLT//3IFatTz4559BDBhQTd6nQgiRCim+NGZubo6Tk9MrP2QfP36cJomlF7k0lsnoYmFzS7i1z7CcvyZ0PQCWqZuuJafYuPEitWsXwtPTdGDT+D56QgiRXWl+aQxg6tSpiUaWFuKNHPw0oQiyc4e2W6QISkJYWDQjRvzOypVnadTIiz17emFhkdCgK0WQEEK8nlQVQt26dcPNzS29chE5zcWVcPo7w2NzK0MR5OChbU6ZkJ/fLXr23Epg4BMA9u8PYseOANq1K6NxZkIIkfWluI+Q/MUp0tS94/DnoITlpgvAw0e7fDKhuDg9U6fup3795cYiyMHBmlWr2tO2bWmNsxNCiOwh1XeNCfHGIoINc4jpog3LlQdDpYHa5pTJBAY+oWfPLfj53TbGfHw8+fnnDhQtmjXn+RNCiMwoxYWQXq9PzzxETqGLge3vQvgdw7JHPWj8nbY5ZSJKKVavPsewYTt59iwGAAsLM3x9GzJ+fH0sLVM9GLwQQoiXSPVcY0K8kb9GwN3Dhse5PaDNJrCw1janTOTkybv06fOLcblYMRfWrOlI7dqFtEtKCCGyMfnzUmScs4vh3GLDYwsbaPcL2LtrmlJmU6OGB4MGeQPQt28VzpwZJEWQEEKkI2kREhnjzmH4a3jCcvMlkL+6dvlkErGxOiwtzU1uRvj66xa0bl1SOkQLIUQGkBYhkf6e3YbtnUAfa1iu9jGU761pSpmBv38ItWv/xMqVZ03i9vbWUgQJIUQGkUJIpK+4KMMdYs/vG5YLN4GGc7TNSWNKKRYvPknVqos5ffoew4f/zrVrmXtEdiGEyK7k0phIP0rBnsEQfMKw7OgFb68H85z7a/fwYQQDBvzK9u3+xpiHhwORkbEaZiWEEDlXzv1GEunvn+8No0cDWNoZOkfbuWqakpZ2775G377bCA4ON8YGD/bm669bYmdnpWFmQgiRc0khJNLHzb9g/6iE5VbLwa2ydvloKCoqjnHj9jB37jFjzNXVjmXL2tKmjfQFEkIILUkhJNJeaBD82gWUzrBccyyU7qJpSlq5du0xHTuu5/z5B8ZYq1YlWL68Hfnz59YwMyGEECCFkEhrsc9hW3uIemRYLvoW1J2uaUpacnGx5dGjSABsbCyYM6c5w4bVlLn7hBAik5C7xkTaUQp2vw8P//92cJeS0HotmFtom5eG8ua1Y8WKdlSu7M7Jkx8wfHgtKYKEECITkRYhkXZOzAH/9YbHVrkNnaNtnbXMKMP9+qs/NWp4mFz2at68OKdOFcXCQv7uEEKIzEY+mUXauLEL/h6bsNz6Z8hbTrt8MlhERAyDB++gbdt1vP/+NpRSJuulCBJCiMxJPp3Fm3tyDX57D/j/L/86U6BEOy0zylCnTt2lWrUlLF58CoDff7/Gjh0BGmclhBAiJaQQEm8m5hlsawfRTw3LJdpDnUlaZpRhdDo9s2cfonbtnwgIMHQOt7OzYunSNrzzTimNsxNCCJES0kdIvD6lh997w6NLhuW85eCtVWCW/evrW7dC6dVrKwcO/GuMeXsXYO3aTpQqlVfDzIQQQqSGFELi9R2dDtd+MTy2cTJ0jrZ20DKjDLF+/QUGD/6Np0+jADAzg7Fj6zFlSiOsrXPuHXJCCJEVSSEkXs+17XBk8v8vmMHb6wy3y2dzR4/eplu3zcZlT09HVq/uQMOGXtolJYQQ4rVl/2sYIu09ugy/90xYrj8LirbSLp8MVLt2IXr1qgRA167lOXt2sBRBQgiRhUmLkEidqKeGztExzwzLpbpAjc80TSk96fUKc3PTARDnz2/N22+XpEuX8jI4ohBCZHHSIiRSTq+Dnd3hyVXDcr7K0GqZoZNMNhQY+IR69ZaxYcNFk7ijow1du1aQIkgIIbIBaRESKXd4Etz43fDYNq+hc7SVvaYppQelFKtXn2PYsJ08exbD5cs7qFOnEJ6eTlqnJoQQIo1Ji5BIGf8NcHyW4bGZBbTZAE5emqaUHp48iaRbt8306fMLz57FAJAnTy7jxKlCCCGyF2kREq/28Bzs6pew3OhrKNxEu3zSyf79QfTqtZXbt8OMsb59qzBvXiscHGw0zEwIIUR6kUJIvFzkI9jWHuKeG5bL9YaqIzRNKa3FxOjw9d3Hl18eJn6KMGdnW5YseYfOnctrm5wQQoh0JYWQSJ4+DnZ0hdAbhmX36tBsUbbqHB0Y+ITOnTdy+vQ9Y6xRIy9WrWovfYKEECIHkD5CInkHP4Obew2P7dyg3VawyqVtTmksVy5Lbt4MBcDKypwvv2zG3r29pQgSQogcQgohkbRLq+HUt4bH5lbQZjM4FNI2p3RQoIADP/3UljJlXDl6dACfflo30bhBQgghsi+5NCYSCz4JfwxMWG7yPRSqp10+aWjPnkCqVs1P3rx2xljbtqV5660SWFnJPGFCCJHTSIuQMBVxH7Z1AF20YbnSB1B5kLY5pYGoqDhGjtxF8+arGTRoByq+V/T/kyJICCFyJimERAJdDPz6LoTfNiwX9DG0BmVx58/fp2bNpcydewyAzZsvs2vXNY2zEkIIkRlIISQS7BsJdw4ZHucuCG03g4W1tjm9Ab1e8d13R6lRYynnzz8AwMbGgnnzWtGqVQmNsxNCCJEZSB8hYXDuRzj7g+GxhTW03Qr2+bXN6Q3cu/eMfv22sXv3dWOsYkU31q7tRIUKbhpmJoQQIjORQkjAnSOw98OE5WaLoUBN7fJ5Q9u3+9O//3ZCQp4bYyNH1mbmzKbY2sqvvBBCiATyrZDTPbsDv3YCfaxhueoIqNBX05TexOHDN2nXbp1xOX/+3Kxc2Z4WLYprmJUQQojMSvoI5WRxUbC9I0QEG5Y9G0PDr7TN6Q35+HjSoUMZANq1K83580OkCBJCCJEsaRHKqZSCvUMh+Lhh2bEIvLMeLKy0zSuVlFKYvTDlh5mZGUuXtqFt29L06VPZZJ0QQgjxX9IilFOdWQAXlhkeW+YydI62y6dtTql061YoTZqsYseOAJN43rx29O1bRYogIYQQryQtQjnRrf2w7+OE5RY/gXtVjZJ5PRs2XGTQoB08fRrFxYsPOHduCPnz59Y6LSGEEFmMtAjlNGE34dfOoHSG5RqfQdn3tM0pFcLCounb9xe6dt3E06dRANjaWnL37jONMxNCCJEVSYtQThL7HLa1h8gQw3KRFlBvpqYppYaf3y169NjCjRtPjbGuXcuzcOHbuLjk0i4xIYQQWZYUQjmFUoaJVB/8Y1h2Lg7vrAPzzD/HVlycnunTDzJ9+kF0OsMcYQ4O1ixY0JqePStJXyAhhBCvTQqhnOLUN3BlreGxlT202wa2LtrmlAJBQU/p3n0zfn63jTEfH09+/rkDRYtm/vyFEEJkbtJHKCcI+gMOfpaw/NZqcC2vXT6pYG5uxqVLDwGwsDBj6tRGHDjQV4ogIYQQaUIKoezu6XX4rRsovWG5ti+U7KBtTqlQuLATixa9Q7FiLhw69D6+vg2xtJRfWyGEEGnDTCmltE4iI4WFheHk5ERoaCiOjo5ap5O+YsLhf3Ug5IJhuVgbaP8LmGXeQuLvv/+lcuX8ODramMSjouJknjAhhMjB0uv7O1N8Iy5YsAAvLy9sbW2pVasWx48fT3bbpUuXUr9+fVxcXHBxcaFZs2Yv3T7HUgp29UkogvKUgdY/Z9oiKCZGx9ixe2jYcAXDh/+eaL0UQUIIIdKD5t+K69evZ9SoUUyePJnTp09TuXJlWrZsyYMHD5Lcfv/+/bz33nvs27cPPz8/PD09adGiBXfu3MngzDO5YzPh6hbDY2tHQ+dom8zZAubvH0KdOj8xe/ZhlIJVq87yxx/XtU5LCCFEDqD5pbFatWpRo0YN5s+fD4Ber8fT05Phw4czduzYV+6v0+lwcXFh/vz59O7d+5Xb54hLY9d3wC9tAQWYQYdfodjbWmeViFKKJUtOMXLkbiIj4wCwsjJnxowmjB7tg7m53BYvhBDCIL2+vzW93hATE8OpU6cYN26cMWZubk6zZs3w8/NL0TGeP39ObGwsefLkSXJ9dHQ00dHRxuWwsLA3Szqze3QFdvbAUAQB9aZnyiLo4cMIBgz4le3b/Y2x0qXzsnZtJ6pVK6BhZkIIIXISTS+NhYSEoNPpcHd3N4m7u7sTHBycomOMGTOGggUL0qxZsyTXz5o1CycnJ+M/T0/PN84704oONYwcHfP/xV6pd6HmuJfuooXdu69RqdIikyJoyJDqnD49SIogIYQQGUrzPkJv4osvvmDdunVs3boVW1vbJLcZN24coaGhxn+3bt3K4CwziNLDzp7w5P+LC9eK0HI5ZLJRl//++19atVpDcHA4AK6udmzf3o0ffngbOzsrjbMTQgiR02h6aczV1RULCwvu379vEr9//z758+d/6b5fffUVX3zxBXv27KFSpUrJbmdjY4ONjU2y67ONI5MhcIfhsW0eaPcLWGe+2djr1StMq1Yl2LXrGq1alWD58nYya7wQQgjNaNoiZG1tjbe3N3v37jXG9Ho9e/fupU6dOsnu9+WXXzJt2jR27dpF9erVMyLVzC1gMxydbnhsZg7vrAfnYtrmlAwzMzOWL2/HDz+0ZufO7lIECSGE0JTml8ZGjRrF0qVLWblyJZcvX2bIkCFERETQr18/AHr37m3SmXr27NlMmjSJZcuW4eXlRXBwMMHBwYSHh2v1FLT18LxhvKB4DeZAkaT7S2W04OBw3n57LXv3BprE8+fPzZAhNWSyVCGEEJrTfJS6rl278vDhQ3x9fQkODqZKlSrs2rXL2IH65s2bmJsn1GsLFy4kJiaGd9991+Q4kydPZsqUKRmZuvYiHxs6R8dGGJbL9gTvkZqmFG/7dn/6999OSMhzzp4N5uzZweTNa6d1WkIIIYQJzccRymjZZhwhfRxsaQ3//mlYdqsG3Q6BVS5N04qIiGH06D9YvPiUMVagQG5+/fU9vL0LapiZEEKIrCxbjiMk3sDf4xKKoFz5oN1WzYugU6fu0qPHFvz9Hxlj7duXYenSNri6SmuQEEKIzEcKoazo8lo4+ZXhsbkltN0EjoU1S0en0/PVV0eYOHEfcXGGWe7t7Kz47rtW9O9fVfoCCSGEyLSkEMpq7p+GP/onLDf+Dgo10Cyd27fD6NVrK/v3Bxlj3t4FWLu2E6VK5dUsLyGEECIlNL9rTKTC8weGztFxUYbligOg8hBNU4qMjOXECcOEt2ZmMG5cPY4c6S9FkBBCiCxBCqGsQhcLv3aBZ/8/MnaB2tBkvuYjR5csmZd5897C09ORffv6MHNmU6ytLTTNSQghhEgpKYSyiv2j4PYBw2P7AtB2M1hm/IjZx4/f4fnzWJNYv35VuHRpKA0bemV4PkIIIcSbkEIoKzi/DM7MNzy2sIa2WyB3xt6KHhenZ+rU/fj4/MQnn/xhss7MzIzcua0zNB8hhBAiLUghlNndPQp7X+gH1HQhFKydoSkEBj6hQYPlTJlyAJ1OsXDhSfbtu5GhOQghhBDpQe4ay8zC78H2jqCLMSxXGQoV38+w0yulWL36HMOG7eTZM0MOFhZm+Po2pH79IhmWhxBCCJFepBDKrOKiYXsniLhnWC7UABp9m2Gnf/IkkiFDfmP9+ovGWLFiLqxZ05HatQtlWB5CCCFEepJCKDNSCv4aBvf8DMsOntBmI1hYZcjpDxwIolevrdy6FWaM9e1bhXnzWuHgkPEdtIUQQoj0IoVQZnR2EZz/0fDY0hba/QJ2bhly6gMHgmjceCXxM9C5uNiyePE7dO5cPkPOL4QQQmQk6Syd2dz+G/aNSFhu8SO4V8uw09erV5gGDQz9fxo39uLcuSFSBAkhhMi2pEUoMwm7Bb++a5hZHsB7NJTtkaEpWFiYs3p1BzZuvMTHH9fG3FzmCRNCCJF9SYtQZhEbCds7GKbRACjSHBp8ka6nfPgwgk6dNnD48E2TuKenE6NG1ZEiSAghRLYnLUKZgVLw5wdw/5Rh2akYvL3OMLN8Otm9+xp9+24jODic06fvcfbsYBwdpSO0EEKInEVahDKD03Ph8s+Gx1b2hs7RufKky6miouL4+ONdtGq1huDgcADCw2MICHiULucTQgghMjNpEdLav3vgwCcJy61WQr6K6XKq8+fv0737Fi5ceJBwulYlWL68Hfnz506XcwohhBCZmRRCWnoaCDu6gtIblmtNgFKd0vw0er3i+++PMWbMHqKjdQDY2FgwZ05zhg2riZnGM9gLIYQQWpFCSCuxEbCtPUQ9NiwXewfqfp7mp7l37xn9+m1j9+7rxljFim6sXduJChUyZmwiIYQQIrOSPkJaUAp29YOQ84Zll9LQ+mcwS/sfx+PHkezfH2RcHjmyNsePD5QiSAghhEAKIW0c/wICNhoeWzsaOkfbOKXLqcqXd2POnObkz5+b3bt78s03LbG1lYZAIYQQAsBMqfjJFHKGsLAwnJycCA0NxdHRMeMTCNwJW98BFGAG7bdD8XfS7PBnzwZTpowrNjYJxY5SiqdPo3BxyZVm5xFCCCEyUnp9f0uLUEZ6HAA7u2MogjD0CUqjIkin0zN79iGqV1/KhAl/mawzMzOTIkgIIYRIghRCGSU6zNA5OjrUsFyyI9QanyaHvnUrlKZNVzF27F7i4vR8/bUfhw7dfPWOQgghRA4nnUUygtLD773g8WXDsmsFw3hBadA5esOGiwwatIOnT6MAMDODsWPrUbOmxxsfWwghhMjupBDKCH6fw/Xthse2LobO0dZvNoBhWFg0I0b8zsqVZ40xT09HVq/uQMOGXm90bCGEECKnkEIovV3dCn5TDY/NzA1ziDkXf6ND+vndomfPrQQGPjHGunYtz8KFb0tfICGEECIVpBBKTyEX4ffeCcv1Z4NXizc65P79QTRrtgqdztDh2sHBmgULWtOzZyUZIVoIIYRIJeksnV6inhg6R8caJjalzHtQffQbH7ZuXU+8vQsC4OPjydmzg+nVq7IUQUIIIcRrkBah9KDXwW/vwdNrhmW3qtDiR0NP5jdkZWXBmjUdWb/+AmPG1MPSUmpZIYQQ4nVJIZQeDk2AoN2Gx7lcod1WsLJL9WGePIlk2LDfGTWqtrEVCKBEiTxMmNAgrbIVQryCUoq4uDh0Op3WqQiRrVlZWWFhYZGh55RCKK1dWQcnZhsem1lAm43gWCTVh9m/P4hevbZy+3YYp07d5fTpQdjZWaVxskKIV4mJieHevXs8f/5c61SEyPbMzMwoVKgQuXO/2Z3VqSGFUFp6cAZ2v5+w3HgueDZK1SFiYnT4+u7jyy8PEz/5yYMHEVy8+IAaNWRsICEykl6v58aNG1hYWFCwYEGsra2lP54Q6UQpxcOHD7l9+zYlS5bMsJYhKYTSyvMQQ+fouEjDcvl+UGVoqg7h7x9C9+5bOH36njHWuLEXq1Z1oFAhDeZFEyKHi4mJQa/X4+npiZ1d6i9vCyFSJ1++fAQFBREbGyuFUJaii4UdXSDsX8NygVrQ7IcUd45WSrFkySlGjtxNZGQcAFZW5syY0YTRo30wN5e/QIXQkrm53JQgREbQosVVCqG0cPBTuLXP8Ng+P7TZDJa2Kdr14cMIBgz4le3b/Y2x0qXzsnZtJ6pVK5Ae2QohhBDi/0kh9KYuroTT3xkem1sZiiCHlPfluXUrjJ07rxqXhwypzldftZCO0UIIIUQGkPbeN3HvOPw5KGG56Q/g4ZOqQ1SrVoDp0xvj6mrH9u3d+OGHt6UIEkIIDfn7+5M/f36ePXumdSrZSkxMDF5eXpw8eVLrVExIIfS6IoJhe0fQRRuWKw+BSgNeuduVKyHExpqORfLJJz5cvPghbdqUTo9MhRA5UN++fTEzM8PMzAwrKyuKFi3KZ599RlRUVKJtd+zYQcOGDXFwcMDOzo4aNWqwYsWKJI+7efNmGjVqhJOTE7lz56ZSpUp8/vnnPH78OJ2fUcYZN24cw4cPx8HBQetU0s2CBQvw8vLC1taWWrVqcfz48Vfu8/TpU4YOHUqBAgWwsbGhVKlS7Ny5M8XHtba25pNPPmHMmDFp/nzehBRCr0MXA9vfhfA7hmWPeoZb5V9Cr1d8991RqlRZxPTpB03WWViY4+Zmn07JCiFyqlatWnHv3j0CAwP59ttvWbx4MZMnTzbZ5vvvv6ddu3bUrVuXY8eOce7cObp168bgwYP55JNPTLadMGECXbt2pUaNGvz+++9cuHCBr7/+mrNnz7J69eoMe14xMTHpduybN2+yY8cO+vbt+0bHSc8c39T69esZNWoUkydP5vTp01SuXJmWLVvy4MGDZPeJiYmhefPmBAUFsWnTJvz9/Vm6dCkeHh6pOm6PHj04dOgQFy9eTNfnmCoqhwkNDVWACg0Nff2D/DFIqa8w/FtUSKnw4JdufvdumGrZcrWCKQqmKHPzqerYsduvf34hRIaIjIxUly5dUpGRkVqnkmp9+vRR7dq1M4l17NhRVa1a1bh88+ZNZWVlpUaNGpVo/3nz5ilAHT16VCml1LFjxxSg5s6dm+T5njx5kmwut27dUt26dVMuLi7Kzs5OeXt7G4+bVJ4fffSRatiwoXG5YcOGaujQoeqjjz5SefPmVY0aNVLvvfee6tKli8l+MTExKm/evGrlypVKKaV0Op2aOXOm8vLyUra2tqpSpUpq48aNyeaplFJz5sxR1atXN4mFhISobt26qYIFC6pcuXKpChUqqLVr15psk1SOSil1/vx51apVK2Vvb6/c3NxUz5491cOHD437/f7776pu3brKyclJ5cmTR7399tvq2rVrL83xTdWsWVMNHTrUuKzT6VTBggXVrFmzkt1n4cKFqlixYiomJuaNj9u4cWM1ceLEJI/xsvdcmnx/J0E6S6fW2cVwbrHhsaWtYfoMe/dkN9+27QoDBvxKSEjCqLQjRtSkUqXk9xFCZHI/VzdcHs9o9vmh5+v1r7hw4QJHjhyhSJGEke43bdpEbGxsopYfgEGDBjF+/Hj+97//UatWLdasWUPu3Ln58MMPkzy+s7NzkvHw8HAaNmyIh4cH27dvJ3/+/Jw+fRq9Xp+q/FeuXMmQIUM4fPgwANeuXaNz586Eh4cbRyHevXs3z58/p0OHDgDMmjWLn3/+mUWLFlGyZEkOHjxIz549yZcvHw0bNkzyPH///TfVq1c3iUVFReHt7c2YMWNwdHTkt99+o1evXhQvXpyaNWsmm+PTp09p0qQJAwYM4NtvvyUyMpIxY8bQpUsX/vrrLwAiIiIYNWoUlSpVIjw8HF9fXzp06MCZM2eSHbZh5syZzJw586Wv16VLlyhcuHCieExMDKdOnWLcuHHGmLm5Oc2aNcPPzy/Z423fvp06deowdOhQtm3bRr58+ejevTtjxozBwsIiVcetWbMmf//990vzz0hSCKXGncPw1/CE5eZLIH/1JDeNiIhh9Og/WLz4lDGWP39uVq5sT4sWxdM7UyFEeooITrg0nont2LGD3LlzExcXR3R0NObm5syfP9+4PiAgACcnJwoUSDxUh7W1NcWKFSMgIACAq1evUqxYMaysUnczx9q1a3n48CEnTpwgT548AJQoUSLVz6VkyZJ8+eWXxuXixYtjb2/P1q1b6dWrl/Fcbdu2xcHBgejoaGbOnMmePXuoU6cOAMWKFePQoUMsXrw42ULo33//TVQIeXh4mBSLw4cPZ/fu3WzYsMGkEPpvjtOnT6dq1aomRcuyZcvw9PQkICCAUqVK0alTJ5NzLVu2jHz58nHp0iUqVKiQZI6DBw+mS5cuL329ChYsmGQ8JCQEnU6Hu7vpH+Pu7u5cuXIl2eMFBgby119/0aNHD3bu3Mm1a9f48MMPiY2NZfLkyak6bsGCBfn3339fmn9GkkIopZ7dhu2dQB9rWPYeCeV6JbnpqVN36d59CwEBj4yxdu1K8+OPbXF1ldFphcjy7PNnifM2btyYhQsXEhERwbfffoulpWWiL96UUvFz/qTSmTNnqFq1qrEIel3e3t4my5aWlnTp0oU1a9bQq1cvIiIi2LZtG+vWrQMMLUbPnz+nefPmJvvFxMRQtWrVZM8TGRmJra3pOHA6nY6ZM2eyYcMG7ty5Q0xMDNHR0YlGG/9vjmfPnmXfvn1Jzpt1/fp1SpUqxdWrV/H19eXYsWOEhIQYW8pu3ryZbCGUJ0+eN349U0uv1+Pm5saSJUuwsLDA29ubO3fuMGfOnET9zl4lV65cmWruPimEUiIuynCH2PP7huXCTaHBl0lu+tdfN2jZ8mfi4gy/zHZ2Vsyd25IBA6rJHEVCZBeveXkqo9nb2xtbX5YtW0blypX56aef6N+/PwClSpUiNDSUu3fvJmpBiImJ4fr16zRu3Ni47aFDh4iNjU1Vq1CuXLleut7c3DxRkRUbG5vkc/mvHj160LBhQx48eMCff/5Jrly5aNWqFWC4JAfw22+/mXToBbCxsUk2H1dXV548eWISmzNnDt999x1z586lYsWK2Nvb8/HHHyfqEP3fHMPDw2nTpg2zZ89OdJ74Vrg2bdpQpEgRli5dSsGCBdHr9VSoUOGlna3f5NKYq6srFhYW3L9/3yR+//598udPvtAuUKBAopnhy5YtS3BwMDExMak67uPHj8mXL99L889IctfYqygFewZD8AnDsqMXvLMezJOuIevW9aRcOcMP2Nu7AP/8M4iBA72lCBJCaMrc3Jzx48czceJEIiMNcyJ26tQJKysrvv7660TbL1q0iIiICN577z0AunfvTnh4OD/88EOSx3/69GmS8UqVKnHmzJlkb6/Ply8f9+7dM4mdOXMmRc/Jx8cHT09P1q9fz5o1a+jcubOxSCtXrhw2NjbcvHmTEiVKmPzz9PRM9phVq1bl0qVLJrHDhw/Trl07evbsSeXKlU0uGb5MtWrVuHjxIl5eXolysLe359GjR/j7+zNx4kSaNm1K2bJlExVhSRk8eDBnzpx56b/kLo1ZW1vj7e3N3r17jTG9Xs/evXuNlxCTUrduXa5du2bStysgIIACBQpgbW2dquNeuHDhpa1yGS5Nu15nAanudX7qu4Q7xObaKXX/zCt3uXDhvpowYa+Kjo57w2yFEFrKbneNxcbGKg8PDzVnzhxj7Ntvv1Xm5uZq/Pjx6vLly+ratWvq66+/VjY2Nmr06NEm+3/22WfKwsJCffrpp+rIkSMqKChI7dmzR7377rvJ3k0WHR2tSpUqperXr68OHTqkrl+/rjZt2qSOHDmilFJq165dyszMTK1cuVIFBAQoX19f5ejomOiusY8++ijJ40+YMEGVK1dOWVpaqr///jvRurx586oVK1aoa9euqVOnTql58+apFStWJPu6bd++Xbm5uam4uITP75EjRypPT091+PBhdenSJTVgwADl6Oho8vomleOdO3dUvnz51LvvvquOHz+url27pnbt2qX69u2r4uLilE6nU3nz5lU9e/ZUV69eVXv37lU1atRQgNq6dWuyOb6pdevWKRsbG7VixQp16dIl9cEHHyhnZ2cVHJxwB3SvXr3U2LFjjcs3b95UDg4OatiwYcrf31/t2LFDubm5qenTp6fquEopVaRIEbVq1aokc9PirjEphF7m371KfW2RUAhdWf+fY0WpAQO2qQsX7qdTtkIILWW3QkgppWbNmqXy5cunwsPDjbFt27ap+vXrK3t7e2Vra6u8vb3VsmXLkjzu+vXrVYMGDZSDg4Oyt7dXlSpVUp9//vlLb58PCgpSnTp1Uo6OjsrOzk5Vr15dHTt2zLje19dXubu7KycnJzVy5Eg1bNiwFBdCly5dUoAqUqSI0uv1Juv0er2aO3euKl26tLKyslL58uVTLVu2VAcOHEg219jYWFWwYEG1a9cuY+zRo0eqXbt2Knfu3MrNzU1NnDhR9e7d+5WFkFJKBQQEqA4dOihnZ2eVK1cuVaZMGfXxxx8bc/3zzz9V2bJllY2NjapUqZLav39/uhdCSin1/fffq8KFCytra2tVs2ZN43AGLz6fPn36mMSOHDmiatWqpWxsbFSxYsXUjBkzTArGlBz3yJEjytnZWT1//jzJvLQohMyUes0ecFlUWFgYTk5OhIaG4ujomPyGoUGGW2Sj/r/Dc81xUD/hmqyf3y169txKYOATKlVy5/jxAdjYSJcrIbKTqKgobty4QdGiRRN1oBXZ14IFC9i+fTu7d+/WOpVsp2vXrlSuXJnx48cnuf5l77kUf3+nkvQRSkrsc9jWPqEIKvoW1J0GQFycnqlT91O//nICAw3Xcm/ceMK5c/eTOZgQQoisZNCgQTRo0EDmGktjMTExVKxYkZEjR2qdiglpwvgvpWD3+/DwrGHZpSS0XgvmFgQGPqFnzy34+d02bu7j48nPP3egaFEXjRIWQgiRliwtLZkwYYLWaWQ71tbWTJw4Ues0EpFC6L9OzAH/9YbH1g7QbhvKxonVq84ybNhOnj0z3NJoYWGGr29Dxo+vj6WlNKwJIYQQWZEUQi+6sQv+Hpuw/NZqnph7MeS9zaxfnzBBXLFiLqxZ05HatQtpkKQQQggh0oo0ZcR7cg1+ew/4/77jPlOhRDsuXw5h48aEMSX69q3CmTODpAgSIgfJYfeUCKEZLd5rUggBxDyDbe0g+qlhuUR7qG24junj48mECfVxdrZlw4Z3Wb68HQ4OyY9KKoTIPuIH58tM0wEIkZ3Fj6j94gjW6U0ujSk9/N4bHhlafW7oa1C4xQoszBJqxEmTGjBokDceHml3u54QIvOzsLDA2dmZBw8eAGBnZyejxAuRTvR6PQ8fPsTOzg5Ly4wrT6QQOjodrv2CUrDkZH1Gbm/BZP15xoypZ9zEyspCiiAhcqj4eZLiiyEhRPoxNzencOHCGfoHR84eUPHBftjWjofhdgzY2I7tF0sDYGlpzvHjA6hatYC2yQohMg2dTpfkZKBCiLRjbW2NuXnSvXbSa0DFTNEitGDBAubMmUNwcDCVK1fm+++/p2bNmsluv3HjRiZNmkRQUBAlS5Zk9uzZtG7dOnUnfewPv/dkt39x+q5rT/AzB+OqAQOqUrq06+s+HSFENmRhYZGh/RaEEBlD887S69evZ9SoUUyePJnTp09TuXJlWrZsmWwz9JEjR3jvvffo378///zzD+3bt6d9+/ZcuHAhVeeN+qU7H2+sS6ulvYxFkKurHdu3d2Phwnews7N64+cmhBBCiMxN80tjtWrVokaNGsyfPx8wdJby9PRk+PDhjB07NtH2Xbt2JSIigh07dhhjtWvXpkqVKixatOiV54tvWivr1p/LDzyN8VatSrB8eTvy58+dBs9KCCGEEGkpW841FhMTw6lTp2jWrJkxZm5uTrNmzfDz80tyHz8/P5PtAVq2bJns9sm5/CAfADY25syb14qdO7tLESSEEELkMJr2EQoJCUGn0+Hu7m4Sd3d358qVK0nuExwcnOT2wcHBSW4fHR1NdHS0cTk0NDR+DeVK2vHTqu6UK5dPJtcTQgghMrGwsDAg7QddzBSdpdPTrFmzmDp1ahJrvuXSVahTxzfDcxJCCCHE63n06BFOTk5pdjxNCyFXV1csLCy4f/++Sfz+/fvGsTv+K3/+/Knafty4cYwaNcq4/PTpU4oUKcLNmzfT9IUUqRcWFoanpye3bt1K0+u94vXIzyPzkJ9F5iE/i8wjNDSUwoULkydPnjQ9rqaFkLW1Nd7e3uzdu5f27dsDhs7Se/fuZdiwYUnuU6dOHfbu3cvHH39sjP3555/UqVMnye1tbGywsUk8JYaTk5P8UmcSjo6O8rPIROTnkXnIzyLzkJ9F5pHcOEOvS/NLY6NGjaJPnz5Ur16dmjVrMnfuXCIiIujXrx8AvXv3xsPDg1mzZgHw0Ucf0bBhQ77++mvefvtt1q1bx8mTJ1myZImWT0MIIYQQWZDmhVDXrl15+PAhvr6+BAcHU6VKFXbt2mXsEH3z5k2T6s/Hx4e1a9cyceJExo8fT8mSJfnll1+oUKGCVk9BCCGEEFmU5oUQwLBhw5K9FLZ///5Esc6dO9O5c+fXOpeNjQ2TJ09O8nKZyFjys8hc5OeRecjPIvOQn0XmkV4/C80HVBRCCCGE0IrmU2wIIYQQQmhFCiEhhBBC5FhSCAkhhBAix5JCSAghhBA5VrYshBYsWICXlxe2trbUqlWL48ePv3T7jRs3UqZMGWxtbalYsSI7d+7MoEyzv9T8LJYuXUr9+vVxcXHBxcWFZs2avfJnJ1Inte+NeOvWrcPMzMw48Kl4c6n9WTx9+pShQ4dSoEABbGxsKFWqlHxWpZHU/izmzp1L6dKlyZUrF56enowcOZKoqKgMyjb7OnjwIG3atKFgwYKYmZnxyy+/vHKf/fv3U61aNWxsbChRogQrVqxI/YlVNrNu3TplbW2tli1bpi5evKgGDhyonJ2d1f3795Pc/vDhw8rCwkJ9+eWX6tKlS2rixInKyspKnT9/PoMzz35S+7Po3r27WrBggfrnn3/U5cuXVd++fZWTk5O6fft2BmeePaX25xHvxo0bysPDQ9WvX1+1+7/27j0mivPrA/iXRXdZcZFYiuwKXsBCjVUpKAawoSoWvFJvYCWIimIFxGi8EG+AFqSt0qjxhlZQSwQ1Wk1RqKgkgLYqstAIgty0jaCxGhAFYXfP+0fD/Fy51EWFvrvnk+wf88zzPHNmjmRPZp51fHy6Jlg9p2suXr58SaNGjaLJkydTTk4OVVZWUlZWFimVyi6OXP/omovk5GSSSCSUnJxMlZWVlJGRQXK5nFauXNnFkeuf8+fP04YNG+j06dMEgM6cOdNh/4qKCurVqxetWrWKioqKaPfu3WRsbEzp6ek6HVfvCiEXFxcKDQ0VttVqNSkUCtq2bVub/X19fWnKlClabWPGjKGlS5e+1zgNga65eJ1KpSKZTEZHjhx5XyEalM7kQ6VSkZubGx06dIgCAwO5EHpHdM3Fvn37yNbWlpqamroqRIOhay5CQ0Np/PjxWm2rVq0id3f39xqnoXmTQmjt2rU0bNgwrTY/Pz/y8vLS6Vh69WisqakJeXl58PT0FNpEIhE8PT1x7dq1Nsdcu3ZNqz8AeHl5tdufvZnO5OJ1L168QHNz8zt/wZ4h6mw+tmzZAktLSwQFBXVFmAahM7k4d+4cXF1dERoain79+uGTTz5BbGws1Gp1V4WtlzqTCzc3N+Tl5QmPzyoqKnD+/HlMnjy5S2Jm//Ouvr//E/+z9Lvy+PFjqNVq4fUcLfr164c7d+60OaampqbN/jU1Ne8tTkPQmVy8bt26dVAoFK3+oTPddSYfOTk5+PHHH6FUKrsgQsPRmVxUVFTg8uXL8Pf3x/nz51FWVoaQkBA0NzcjMjKyK8LWS53Jxbx58/D48WOMHTsWRASVSoWvv/4a69ev74qQ2Sva+/6uq6tDQ0MDpFLpG82jV3eEmP6Ii4tDSkoKzpw5AxMTk+4Ox+A8e/YMAQEBOHjwICwsLLo7HIOn0WhgaWmJhIQEODs7w8/PDxs2bMD+/fu7OzSDk5WVhdjYWOzduxe3bt3C6dOnkZaWhq1bt3Z3aKyT9OqOkIWFBYyNjfHw4UOt9ocPH8LKyqrNMVZWVjr1Z2+mM7losX37dsTFxSEzMxMjRox4n2EaDF3zUV5ejqqqKkybNk1o02g0AIAePXqgpKQEdnZ27zdoPdWZvw25XI6ePXvC2NhYaBs6dChqamrQ1NQEsVj8XmPWV53JxaZNmxAQEIDFixcDAIYPH47nz58jODgYGzZs0HpJOHu/2vv+NjMze+O7QYCe3RESi8VwdnbGpUuXhDaNRoNLly7B1dW1zTGurq5a/QHg4sWL7fZnb6YzuQCA7777Dlu3bkV6ejpGjRrVFaEaBF3z8fHHH+OPP/6AUqkUPtOnT8e4ceOgVCphY2PTleHrlc78bbi7u6OsrEwoRgGgtLQUcrmci6C30JlcvHjxolWx01KgEr+6s0u9s+9v3dZx//elpKSQRCKhpKQkKioqouDgYDI3N6eamhoiIgoICKCIiAihf25uLvXo0YO2b99OxcXFFBkZyT+ff0d0zUVcXByJxWI6deoUVVdXC59nz5511ynoFV3z8Tr+1di7o2su7t+/TzKZjMLCwqikpIR++eUXsrS0pG+++aa7TkFv6JqLyMhIkslkdPz4caqoqKBff/2V7OzsyNfXt7tOQW88e/aM8vPzKT8/nwBQfHw85efn071794iIKCIiggICAoT+LT+fX7NmDRUXF9OePXv45/Mtdu/eTQMGDCCxWEwuLi7022+/Cfs8PDwoMDBQq/+JEyfI3t6exGIxDRs2jNLS0ro4Yv2lSy4GDhxIAFp9IiMjuz5wPaXr38aruBB6t3TNxdWrV2nMmDEkkUjI1taWYmJiSKVSdXHU+kmXXDQ3N1NUVBTZ2dmRiYkJ2djYUEhICD19+rTrA9czV65cafM7oOX6BwYGkoeHR6sxjo6OJBaLydbWlhITE3U+rhER38tjjDHGmGHSqzVCjDHGGGO64EKIMcYYYwaLCyHGGGOMGSwuhBhjjDFmsLgQYowxxpjB4kKIMcYYYwaLCyHGGGOMGSwuhBhjWpKSkmBubt7dYXSakZERfv755w77LFiwAF9++WWXxMMY+2/jQogxPbRgwQIYGRm1+pSVlXV3aEhKShLiEYlEsLa2xsKFC/Ho0aN3Mn91dTUmTZoEAKiqqoKRkRGUSqVWn507dyIpKemdHK89UVFRwnkaGxvDxsYGwcHBePLkiU7zcNHG2PulV2+fZ4z9j7e3NxITE7XaPvzww26KRpuZmRlKSkqg0WhQUFCAhQsX4sGDB8jIyHjrudt7a/ir+vTp89bHeRPDhg1DZmYm1Go1iouLsWjRItTW1iI1NbVLjs8Y+3d8R4gxPSWRSGBlZaX1MTY2Rnx8PIYPHw5TU1PY2NggJCQE9fX17c5TUFCAcePGQSaTwczMDM7Ozrh586awPycnB5999hmkUilsbGwQHh6O58+fdxibkZERrKysoFAoMGnSJISHhyMzMxMNDQ3QaDTYsmULrK2tIZFI4OjoiPT0dGFsU1MTwsLCIJfLYWJigoEDB2Lbtm1ac7c8Ghs8eDAA4NNPP4WRkRE+//xzANp3WRISEqBQKLTe7A4APj4+WLRokbB99uxZODk5wcTEBLa2toiOjoZKperwPHv06AErKyv0798fnp6emDNnDi5evCjsV6vVCAoKwuDBgyGVSuHg4ICdO3cK+6OionDkyBGcPXtWuLuUlZUFAPjzzz/h6+sLc3Nz9O3bFz4+PqiqquowHsZYa1wIMWZgRCIRdu3ahdu3b+PIkSO4fPky1q5d225/f39/WFtb48aNG8jLy0NERAR69uwJACgvL4e3tzdmzZqFwsJCpKamIicnB2FhYTrFJJVKodFooFKpsHPnTuzYsQPbt29HYWEhvLy8MH36dNy9excAsGvXLpw7dw4nTpxASUkJkpOTMWjQoDbnvX79OgAgMzMT1dXVOH36dKs+c+bMwd9//40rV64IbU+ePEF6ejr8/f0BANnZ2Zg/fz5WrFiBoqIiHDhwAElJSYiJiXnjc6yqqkJGRgbEYrHQptFoYG1tjZMnT6KoqAibN2/G+vXrceLECQDA6tWr4evrC29vb1RXV6O6uhpubm5obm6Gl5cXZDIZsrOzkZubi969e8Pb2xtNTU1vHBNjDNDLt88zZugCAwPJ2NiYTE1Nhc/s2bPb7Hvy5En64IMPhO3ExETq06ePsC2TySgpKanNsUFBQRQcHKzVlp2dTSKRiBoaGtoc8/r8paWlZG9vT6NGjSIiIoVCQTExMVpjRo8eTSEhIUREtHz5cho/fjxpNJo25wdAZ86cISKiyspKAkD5+flafQIDA8nHx0fY9vHxoUWLFgnbBw4cIIVCQWq1moiIJkyYQLGxsVpzHDt2jORyeZsxEBFFRkaSSCQiU1NTMjExEd6kHR8f3+4YIqLQ0FCaNWtWu7G2HNvBwUHrGrx8+ZKkUillZGR0OD9jTBuvEWJMT40bNw779u0Ttk1NTQH8c3dk27ZtuHPnDurq6qBSqdDY2IgXL16gV69ereZZtWoVFi9ejGPHjgmPd+zs7AD889issLAQycnJQn8igkajQWVlJYYOHdpmbLW1tejduzc0Gg0aGxsxduxYHDp0CHV1dXjw4AHc3d21+ru7u6OgoADAP4+1Jk6cCAcHB3h7e2Pq1Kn44osv3upa+fv7Y8mSJdi7dy8kEgmSk5Mxd+5ciEQi4Txzc3O17gCp1eoOrxsAODg44Ny5c2hsbMRPP/0EpVKJ5cuXa/XZs2cPDh8+jPv376OhoQFNTU1wdHTsMN6CggKUlZVBJpNptTc2NqK8vLwTV4Axw8WFEGN6ytTUFEOGDNFqq6qqwtSpU7Fs2TLExMSgb9++yMnJQVBQEJqamtr8Qo+KisK8efOQlpaGCxcuIDIyEikpKZgxYwbq6+uxdOlShIeHtxo3YMCAdmOTyWS4desWRCIR5HI5pFIpAKCuru5fz8vJyQmVlZW4cOECMjMz4evrC09PT5w6depfx7Zn2rRpICKkpaVh9OjRyM7Oxg8//CDsr6+vR3R0NGbOnNlqrImJSbvzisViIQdxcXGYMmUKoqOjsXXrVgBASkoKVq9ejR07dsDV1RUymQzff/89fv/99w7jra+vh7Ozs1YB2uK/siCesf8vuBBizIDk5eVBo9Fgx44dwt2OlvUoHbG3t4e9vT1WrlyJr776ComJiZgxYwacnJxQVFTUquD6NyKRqM0xZmZmUCgUyM3NhYeHh9Cem5sLFxcXrX5+fn7w8/PD7Nmz4e3tjSdPnqBv375a87Wsx1Gr1R3GY2JigpkzZyI5ORllZWVwcHCAk5OTsN/JyQklJSU6n+frNm7ciPHjx2PZsmXCebq5uSEkJETo8/odHbFY3Cp+JycnpKamwtLSEmZmZm8VE2OGjhdLM2ZAhgwZgubmZuzevRsVFRU4duwY9u/f327/hoYGhIWFISsrC/fu3UNubi5u3LghPPJat24drl69irCwMCiVSty9exdnz57VebH0q9asWYNvv/0WqampKCkpQUREBJRKJVasWAEAiI+Px/Hjx3Hnzh2Ulpbi5MmTsLKyavM/gbS0tIRUKkV6ejoePnyI2trado/r7++PtLQ0HD58WFgk3WLz5s04evQooqOjcfv2bRQXFyMlJQUbN27U6dxcXV0xYsQIxMbGAgA++ugj3Lx5ExkZGSgtLcWmTZtw48YNrTGDBg1CYWEhSkpK8PjxYzQ3N8Pf3x8WFhbw8fFBdnY2KisrkZWVhfDwcPz11186xcSYwevuRUqMsXevrQW2LeLj40kul5NUKiUvLy86evQoAaCnT58SkfZi5pcvX9LcuXPJxsaGxGIxKRQKCgsL01oIff36dZo4cSL17t2bTE1NacSIEa0WO7/q9cXSr1Or1RQVFUX9+/ennj170siRI+nChQvC/oSEBHJ0dCRTU1MyMzOjCRMm0K1bt4T9eGWxNBHRwYMHycbGhkQiEXl4eLR7fdRqNcnlcgJA5eXlreJKT08nNzc3kkqlZGZmRi4uLpSQkNDueURGRtLIkSNbtR8/fpwkEgndv3+fGhsbacGCBdSnTx8yNzenZcuWUUREhNa4R48eCdcXAF25coWIiKqrq2n+/PlkYWFBEomEbG1tacmSJVRbW9tuTIyx1oyIiLq3FGOMMcYY6x78aIwxxhhjBosLIcYYY4wZLC6EGGOMMWawuBBijDHGmMHiQogxxhhjBosLIcYYY4wZLC6EGGOMMWawuBBijDHGmMHiQogxxhhjBosLIcYYY4wZLC6EGGOMMWawuBBijDHGmMH6P9p11ENrBCitAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Classification Report for Decision Tree:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.83      0.73      0.78      7040\n",
            "           1       0.33      0.46      0.38      1960\n",
            "\n",
            "    accuracy                           0.68      9000\n",
            "   macro avg       0.58      0.60      0.58      9000\n",
            "weighted avg       0.72      0.68      0.69      9000\n",
            "\n",
            "--------------------------------------\n",
            "Training K-Nearest Neighbors...\n",
            "\n",
            "K-Nearest Neighbors Model Metrics:\n",
            "Accuracy: 0.5923333333333334\n",
            "Precision: 0.27833981841763944\n",
            "Recall: 0.5474489795918367\n",
            "F1-Score: 0.36904557179707653\n",
            "Kappa: 0.11289672625284097\n",
            "Confusion Matrix:\n",
            "[[4258 2782]\n",
            " [ 887 1073]]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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A2bJl33hcJycnTp06xYMHD9647Zs8ffqUI0eO0K9fPwoVKmTwWHJ+xpR6/PgxoPu9vO1NCJMmTeLRo0csWbIk0cdT8vqzsrLS90hpNBqePXuGnZ0dpUqVSvQ19t/3l3PnznH9+nW6d+/Os2fP9OcKDw+nSZMmHDlyRH8nXGr+3hIzbtw4YmNj+eabbxJ9/G3eT+M8ePAAX19fevfubdBL1aBBAypUqJDoPl26dDF4r/jve8yrXr2bMK63Kjo6mv379wOwe/duzMzM+PTTTw32GzlyJEop9uzZYxBP7LXk5OREeHg4f/zxR6L5ZiRyaewdLFq0iJIlSxIcHMzy5cs5cuSIwSDlGzduoJRi/PjxjB8/PtFjPHnyhAIFCnDz5k06duz42vNdv36dK1eukDt37iSPlZRKlSpRunRp1q9fT//+/QHdZTEXFxf9B8XTp0958eIFP/74Iz/++GOyzlGkSJHX5hwn7gM6NDQUJyenRLdJqlgqUaJEgm1LlizJhg0bgJQ9z6/LOyIighkzZrBixQru379vcDv/fz/wU+q/H3pxb1hBQUEA3L59G4DixYsbbGdubp7kJZtXOTg4APHPYWrkFXfM48ePM3HiRHx8fHj58qXB9sHBwTg6OurbSf09JOcYN2/eBKB8+fIp+hnipPT1kdy/3VmzZuHl5YWbmxseHh60atWK3r17U7Ro0RTnGPeh9DY/46NHjwzajo6Ob/wS4uXlxYMHD5g+fTouLi4MHz5c/9jz58+Jjo7Wt3PkyGHwu4xTv359GjVqxKxZsxIUzpCy159Wq2XBggX88MMP3Lp1C41Go98mV65cCfb77+/o+vXr+p8rKcHBwTg7O6fq7y0xRYsWpVevXvz444+MGjUqweNv834aJ6n3g7hYYgXUm95j4piamiZ4DkqWLAnED++4ffs2+fPnT/BeHDcEIC6/OIm9lj7++GM2bNjAe++9R4ECBWjevDmdO3emZcuWCbY1NimE3kGNGjX0d421a9eOunXr0r17d/z8/LCzs9N/M/niiy8S/ZYMif+hJ0Wr1VKhQgW+/fbbRB93c3N77f5dunRh2rRpBAYGYm9vj7e3N926ddP3QMTl27NnzyTfaCpWrGjQTu4dQWXKlGHbtm1cuHCB+vXrJ7rNhQsXAJL1Lf1Vb/M8J5b3sGHDWLFiBZ9//jm1a9fG0dERExMTunbtmuR8K8mV1LfxV4utd1G6dGkAfH19qVy5crL3e1NeN2/epEmTJpQuXZpvv/0WNzc3LC0t2b17N/PmzUvwvCT2vKb0GG8rpa+P5P7tdu7cmXr16rF161Z+//13Zs+ezcyZM9myZQvvvffeO+edXPny5TNor1ix4o2Tppqbm7NhwwZatmzJyJEjcXJyom/fvgB06NCBw4cP67f18vJKckK/iRMn0rBhQ5YuXZrgi0xKXn/Tp09n/Pjx9OvXjylTppAzZ05MTU35/PPPE/07+O/vKG6b2bNnJ/l3HteDkh6/t7Fjx7JmzRpmzpxJu3btEs01Je+n7yKt32NeJ7HXkqurK+fOnWPfvn3s2bOHPXv2sGLFCnr37s2qVavSPKeUkEIolZiZmTFjxgwaNWrEwoULGTVqlL7qtrCwMBj8m5hixYpx8eLFN25z/vx5mjRp8lbd6F26dGHy5Mls3ryZPHnyEBISQteuXfWP586dG3t7ezQazRvzTan333+fGTNmsHr16kQLIY1Gw7p163B2dqZOnToGj8V9C3zVtWvX9D0lKXmeX2fTpk14eXkZTCIXGRnJixcvDLZLi0sYhQsXBnTfrhs1aqSPx8bGEhAQ8MY3zPfeew8zMzN++eWXFA+Yfp0dO3YQFRWFt7e3wTfO112GfdtjFCtWDICLFy++9gtCUs//u74+Xidfvnx8/PHHfPzxxzx58oSqVasybdo0/Qdqcs8X97f6ptd6Yv57iaFcuXLJ2s/a2hpvb28aNWrEwIEDcXJyon379sydO9egt+B1c+I0aNCAhg0bMnPmTCZMmGDwWEpef5s2baJRo0b8/PPPBvEXL17g4uLyxp8l7m/EwcEhWa/11Pq9vS6fnj17snTpUmrWrGnw2Lu8n776fvBficVSQqvV4u/vr+8FAt37KaB/Ty1cuDD79+8nNDTUoFfo6tWrBvm9iaWlJW3atKFNmzZotVo+/vhjli5dyvjx41PUCZDWZIxQKmrYsCE1atRg/vz5REZG4urqqv8W9fDhwwTbP336VP//HTt25Pz582zdujXBdnEVfefOnbl//z7Lli1LsE1ERIT+7qeklClThgoVKrB+/XrWr19Pvnz5DIoSMzMzOnbsyObNmxN9o34135Ty9PSkadOmrFixgp07dyZ4fOzYsVy7do3//e9/Cb5dbNu2zWCMz+nTpzl16pT+zSwlz/PrmJmZJfj29P333xt03wP6OYf+WyC9i2rVqpErVy6WLVtGbGysPr527doEXduJcXNzY+DAgfz+++98//33CR7XarXMnTuXe/fupSivuG+Z/71MuGLFilQ/RvPmzbG3t2fGjBlERkYaPPbqvra2toleqnzX10diNBpNgnO5urqSP39+oqKi3pjTf+XOnZv69euzfPly7ty5Y/DYm765N23a1ODff3uIXsfBwYG9e/dSvHhxunXrxoEDB/Dw8DA43pt6YuPGCv33Mk9KXn+JvcY2btyY7Bn5PTw8KFasGHPmzCEsLCzJc6X27+11xo0bR0xMDLNmzTKIv8v7af78+SlfvjyrV682+DkPHz6Mr6/vO+ULsHDhQv3/K6VYuHAhFhYWNGnSBIBWrVqh0WgMtgOYN28eJiYmyepRe/bsmUHb1NRU/4Xu1d9BRiA9Qqnsyy+/pFOnTqxcuZLBgwezaNEi6tatS4UKFRg4cCBFixbl8ePH+Pj4cO/ePc6fP6/fb9OmTXTq1Il+/frh4eHB8+fP8fb2ZsmSJVSqVIlevXqxYcMGBg8ezMGDB6lTpw4ajYarV6+yYcMG9u3bp79Ul5QuXbowYcIErK2t6d+/f4Jbab/55hsOHjxIzZo1GThwIGXLluX58+ecPXuW/fv38/z587d+blavXk2TJk1o27Yt3bt3p169ekRFRbFlyxYOHTpEly5d+PLLLxPsV7x4cerWrcuQIUOIiopi/vz55MqVi//973/6bZL7PL/O+++/z5o1a3B0dKRs2bL4+Piwf//+BGMXKleujJmZGTNnziQ4OBgrKysaN26Mq6vrWz83lpaWTJo0iWHDhtG4cWM6d+5MQEAAK1eupFixYsn65jp37lxu3rzJp59+ypYtW3j//fdxdnbmzp07bNy4katXrxr0ACZH8+bN9d/qBg0aRFhYGMuWLcPV1TXRD713OYaDgwPz5s1jwIABVK9ene7du+Ps7Mz58+d5+fKlvjvdw8OD9evXM2LECKpXr46dnR1t2rRJldfHf4WGhlKwYEE+/PBDKlWqhJ2dHfv37+evv/4y6DlMKqfEfPfdd9StW5eqVavy0UcfUaRIEQICAti1axfnzp1LUX4pkTt3bv744w/q1KlDu3btOHDggP5W8+Ro0KABDRo0MLicFie5r7/333+fr7/+mr59++Lp6Ymvry9r165N9rgdU1NTfvrpJ9577z3KlStH3759KVCgAPfv3+fgwYM4ODiwY8eONPm9JSWuVyixyz3v8n46ffp02rZtS506dejbty9BQUEsXLiQ8uXLJ1oEJpe1tTV79+7Fy8uLmjVrsmfPHnbt2sWYMWP04+vatGlDo0aNGDt2LAEBAVSqVInff/+d7du38/nnn+t75l5nwIABPH/+nMaNG1OwYEFu377N999/T+XKld843Ui6S9+b1LKGpCYUU0opjUajihUrpooVK6a/bfDmzZuqd+/eKm/evMrCwkIVKFBAvf/++2rTpk0G+z579kwNHTpUFShQQD8ZnJeXl8Gtl9HR0WrmzJmqXLlyysrKSjk7OysPDw81efJkFRwcrN/uv7fPx7l+/bp+8rD/TkAW5/Hjx+qTTz5Rbm5uysLCQuXNm1c1adJE/fjjj/ptkpo87E1CQ0PVpEmTVLly5VSOHDmUvb29qlOnjlq5cmWC24dfnShs7ty5ys3NTVlZWal69eqp8+fPJzh2cp7n1/3ugoKCVN++fZWLi4uys7NTLVq0UFevXk30uVy2bJkqWrSoMjMzS9aEiv99npKaQO27775ThQsXVlZWVqpGjRrq+PHjysPDQ7Vs2TIZz65SsbGx6qefflL16tVTjo6OysLCQhUuXFj17dvX4Nb6uNvnX52s89Xn59VJJL29vVXFihWVtbW1cnd3VzNnzlTLly9PsN2rtxb/V3KPEbetp6enypEjh3JwcFA1atRQv/76q/7xsLAw1b17d+Xk5JTgVuLkvj545fbw/+KV2+ejoqLUl19+qSpVqqTs7e2Vra2tqlSpUoLJIJPKKanf88WLF1X79u2Vk5OTsra2VqVKlVLjx49PNJ+3ldTPeOXKFeXi4qJy5sypLl68mKJ94/6eE3sNJef1FxkZqUaOHKny5cuncuTIoerUqaN8fHyS/bqJ888//6gOHTqoXLlyKSsrK1W4cGHVuXNndeDAAaXUu//ekpLU3/j169f17wX/zTk576dJ/Z389ttvqnTp0srKykqVL19eeXt7q44dO6rSpUsn2Hf27NkJ8nr1b1mpxCdUzJMnj5o4cWKCaQ1CQ0PV8OHDVf78+ZWFhYUqUaLEaydU/K9Nmzap5s2b6yeSLFSokBo0aJB6+PBhwifWyEyUyiQrXYpsJyAggCJFijB79my++OILY6djFFqtlty5c9OhQ4dEL/kIIbKXypUr63v3ROqQMUJCZBCRkZEJxk+sXr2a58+f07BhQ+MkJYQwipiYGIPxgqBb4f78+fPyfpDKZIyQEBnEyZMnGT58OJ06dSJXrlycPXuWn3/+mfLly9OpUydjpyeESEf379+nadOm9OzZk/z583P16lWWLFlC3rx5E53PSbw9KYSEyCDc3d1xc3Pju+++4/nz5+TMmZPevXvzzTffGHVVeyFE+nN2dsbDw4OffvqJp0+fYmtrS+vWrfnmm28SnXxSvD0ZIySEEEKIbEvGCAkhhBAi25JCSAghhBDZVrYbI6TVannw4AH29vZpslSCEEIIIVKfUorQ0FDy58+fYDLgd5HtCqEHDx68cXFSIYQQQmRMd+/epWDBgql2vGxXCMUtIHf37l0cHByMnI0QQgghkiMkJAQ3NzeDhWBTQ7YrhOIuhzk4OEghJIQQQmQyqT2sRQZLCyGEECLbkkJICCGEENmWFEJCCCGEyLakEBJCCCFEtiWFkBBCCCGyLSmEhBBCCJFtSSEkhBBCiGxLCiEhhBBCZFtSCAkhhBAi25JCSAghhBDZllELoSNHjtCmTRvy58+PiYkJ27Zte+M+hw4domrVqlhZWVG8eHFWrlyZ5nkKIYQQImsyaiEUHh5OpUqVWLRoUbK2v3XrFq1bt6ZRo0acO3eOzz//nAEDBrBv3740zlQIIYQQWZFRF1197733eO+995K9/ZIlSyhSpAhz584FoEyZMhw7dox58+bRokWLtEpTCCGEEFlUphoj5OPjQ9OmTQ1iLVq0wMfHx0gZCSGEECKtaaMjuLT5uzQ5tlF7hFLq0aNH5MmTxyCWJ08eQkJCiIiIIEeOHAn2iYqKIioqSt8OCQlJ8zyFEEIIkQq0sTw8vJK+Q09x+JpTmpwiU/UIvY0ZM2bg6Oio/+fm5mbslIQQQgjxOkrB9a1s/7wlFdtcY9/lgkTGpk3fTaYqhPLmzcvjx48NYo8fP8bBwSHR3iCA0aNHExwcrP939+7d9EhVCCGEEG/jzkFYV4un63rSY2lNAsNtAXB1jEmT02WqQqh27docOHDAIPbHH39Qu3btJPexsrLCwcHB4J8QQgghMpjHZ2BTC9jYGB6dJrfdS+a33QtAuxYunPznizQ5rVHHCIWFhXHjxg19+9atW5w7d46cOXNSqFAhRo8ezf3791m9ejUAgwcPZuHChfzvf/+jX79+/Pnnn2zYsIFdu3YZ60cQQgghxLt4fg2Oj0dzdSOxWlOs4ioTl/L0nz4Jt36lad6iOKGhoWlyeqMWQn///TeNGjXSt0eMGAGAl5cXK1eu5OHDh9y5c0f/eJEiRdi1axfDhw9nwYIFFCxYkJ9++klunRdCCCEym9D7cPJr8P2Zu0G29P61N+XzPuF7rytQZwqU7oaJqRktiqdtGiZKKZW2p8hYQkJCcHR0JDg4WC6TCSGEEOkt4jmc/gbOfQ+xkWw4V45Bm9/nRYRurO8u7060alM2wW5p9fmdqW6fF0IIIUQmFRMOZxfAX7MgKpiQSCs+3daOVX9X1m/i5uaAvZNtuqYlhZAQQggh0o4mGnx/Ap+v4aXuzm+fgIL0/LUj/s+c9Zt16VKOxYtb4+yc+F3gaUUKISGEEEKkPqWFq7/B8fEQ7A9ArMaUaQfqM2V/AzRaEwDs7S1ZtKgVPXtWxMTEJN3TlEJICCGEEKlHKbi1B46NhqcX9OFn4Tlo8+swfK7a6GOenm788kt7ihRxTuxI6SJTzSMkhBBCiAzs/nFY3wC2tjYogijUFKf+hzDPXRoAMzMTJk9uyOHDfYxaBIH0CAkhhBDiXT31hWNjwX+HYTxPNag3Awo3xQxYs6YkHTpsYNGiVtSqVdAoqf6XFEJCCCGEeDvBt+D4BLiyFnhlNh7nUhy2HEOOEo2pUTi+4Clc2Im//x5olLFASZFLY0IIIYRImfDHcGAYLC8FV35BXwTZFSS60TJGX/ueRr1v0a37FkJDowx2zUhFEEghJIQQQojkigrW3QX2czE4txC0/y6Eap0TGszBr44PtQdq+WbmCZQCf/8gFi/+27g5v4FcGhNCCCHE68VGwrlFcGo6RD6Pj5vbQLURKI+RLFt9k88/X0VERCwAFhamTJvWmJEjPY2UdPJIISSEEEKIxGlj4dIqODEJwu7Fx00toOIgqDWOpy/tGNh1B9u3++kfLlUqF+vWdaRq1Xzpn3MKSSEkhBBCCENKwfUtujvBgvxeecAEyvQAz8ngVJR9+27Qp88vPHoUpt9i8GAP5s5tgY2NRfrn/RakEBJCCCFEvNsHdJMhPvrLMF60DdSdBrkrAPD4cRjt2q0nMlJ3KczFxYblyz+gTZtS6Z3xO5HB0kIIIYTQFT4bm8GmpoZFUIG60PUYtPfWF0EAefLY8c03TQBo0aIYvr5DMl0RBNIjJIQQQmRvz67C8XFwfbNhPHdFqDsDirwHJiZotQqNRouFhZl+k2HDalKwoAPt25fB1DRj3RafXFIICSGEENlRyF3wmQyXVugWSI3jWBTqTIHSXcFEd+Ho4cNQ+vTZTuXKeZg5s5l+U1NTEzp2LJvemacqKYSEEEKI7CTiGZyaoZsHSPPKZIc2eaD2BKgwAMws9eHt26/Sv783z55F8McfN2nRojiNGxcxQuJpQwohIYQQIjuIDoOz8+Gv2RAdEh+3dIAaX0HVz8DCVh8OD49m5MjfWbr0jD6WJ49dOiacPqQQEkIIIbIyTTRc+BFOToGXT+Lj5tZQeZiuCMqRy2CXM2ce0L37Fq5de6aPtW1bip9++gAXF5v0yjxdSCEkhBBCZEVaDVz9FU5M0C2OGsfEDMr3010GszdcAV6j0TJnzgnGjTtIbKxu3JCNjQXz57dgwICqGW6dsNQghZAQQgiRlSgF/rvg2BgI9DV8rGRn3UDonCUT7BYY+JJOnTZy6FCAPubhkY916zpSsmSuBNtnFVIICSGEEFnFvaNwdDQ8OG4YL9wc6k2HPB5J7uroaEVYWDQAJiYwalRdJk1qiKWlWZL7ZAVSCAkhhBCZ3ZPzuh6gW7sN43lrQL0ZUKjxGw9hYWHG2rUdaNfuNxYvbk2DBu5pk2sGI4WQEEIIkVm9uAnHJ+jGAqHi4znL6JbDKN5O172TCB+fu9jYWFCpUl59rGTJXFy8+HGmnRzxbUghJIQQQmQ24Y/AZwr4/qhbIT6OvZtuQdSyvcA08Y/42Fgt06YdYcqUI5QsmYu///7IYIHU7FQEgRRCQgghROYR+QL+ng1n5kPsy/i4dS6oNRYqDdHdFp8Ef/8gevbcgo/PPQCuXAnkhx/+4osvPNM27wxMCiEhhBAio4uJ0M0EfXoGRAbFxy1swWMkVBsJVg5J7q6UYs2aCwwdupvQUN2AaDMzEyZObMDnn9dK6+wzNCmEhBBCiIxKGwsXV+jWBAu7Hx83tdD1/tQaCzaurz1EUFAEgwfvYsOGS/pYsWLO/PJLB2rVKviaPbMHKYSEEEKIjEZp4dpm3arwQddeecAEyvWG2pPA0f2Nhzl0KIBevbZy7178khp9+1ZmwYKW2NtbpXramZEUQkIIIURGoRTc3g/HRsPjM4aPFWsLdaeCS/lkHerhw1BatPiF6GgNAM7O1ixd+j6dOpVL7awzNVNjJyCEEEII4OFp2NQUNjc3LIIK1oduJ6DdtmQXQQD58tkzcWIDABo1cufChSFSBCVCeoSEEEIIY3p2BY6NhRtbDeO5K+smQ3RvkeRcQK9SSqHVKszM4vs4vvqqDm5uDvToUTHb3RafXFIICSGEEMYQcgdOTILLq3RjguI4FYM6U6FUZzBJ3oWbp0/DGThwB1Wq5GXixIb6uJmZKb16VUrdvLMYKYSEEEKI9PQyEE5Ph3OLQBMdH7fNC7UnQvn+YGaR9P7/sW/fDfr02c6jR2Hs3HmN5s2LUbu2WxoknjVJISSEEEKkh+hQODMP/p6j+/84Vk5Q/Suo+ilY2CT7cJGRsYwevZ/580/pY87OOfTzBInkkUJICCGESEuxUXBhKZycChFP4+PmOaDqZ1D9f2DtnKJD+vo+pkePLfj6PtHHWrQoxsqV7cib1y61Ms8WpBASQggh0oJWA1fWwokJEHI7Pm5iBhUHQq3xYJc/ZYfUKr7//hRffbWfqCjdbfFWVmbMmtWMoUNryIDotyCFkBBCCJGalIKbO+DYGHh2yfCxUl2hztfgXCLFh3327CU9emxh376b+liFCq6sW9eR8uVfP7u0SJoUQkIIIURquXcEjoyChz6GcfeWUHc65Kny1oe2tbXk/v34sUXDh9di+vQmWFvLR/m7kGdPCCGEeFdPzul6gG7tMYznq6WbC8it4TufwtranHXrOtC27W8sWfI+zZsXe+djCimEhBBCiLcXdAOOjwe/3wzjucrqeoCKfZCsyRATc+bMA2xtLSld2kUfq1AhD9euDcPcXBaGSC1SCAkhhBApFfYATk4B3590K8THsS+kGwNUpieYmr3VoTUaLXPmnGDcuIOUL+/KyZP9sbKK/7iWIih1SSEkhBBCJFdkEPw1C84ugNiI+HiO3FBrLFQcDOZvv6r73bvB9Oq1lcOHdXeZnTv3iB9++Ivhw2u/a+YiCVIICSGEEG8S8xL++R5OfwNRL+LjFnZQ/UvwGA6W9u90ig0bLjFo0E5evIgEdFfURo2qyyef1Hin44rXk0JICCGESIomBi4uB5/JEP4wPm5mCZU/gRqjwSb3O50iJCSKTz/dw6pV5/UxNzcH1qxpT4MG7u90bPFmUggJIYQQ/6W04LcRjo+DFzfi4yamUNYLPCeCQ+F3Po2Pz1169tyKv3+QPtalSzkWL26Ns3OOdz6+eDMphIQQQog4SsHt3+HoaHjyj+FjxdtD3am6O8JSwf37ITRsuIroaN0M0fb2lixa1IqePSti8pZ3momUk6HnQgghBMCDk7CxMWxuaVgEuTWEbj7QdkuqFUEABQo48MUXukHQnp5unD8/mF69KkkRlM6kR0gIIUT2FnhJdwnsxjbDuGsVqPcNFG721nMBvUopBWBQ6Eya1JBChRzp37+q3BZvJFIICSGEyJ5CbsOJiXB5jW5MUBznElBnKpT8UDcmKBUEBUUwePAuqlfPzxdfeOrjFhZmDBpULVXOId6OFEJCCCGyl5dP4NR0OL8YNNHxcbv8UHsilOsLZhapdrpDhwLo1Wsr9+6FsHXrFZo0KUKVKvlS7fji3UghJIQQInuICoEz38LfcyEmLD5u7QzVR0GVoWBhk2qni47WMGHCQWbNOs6/V8Wws7Pk0aOw1+8o0pUUQkIIIbK22Eg4vwROTYOIwPi4eQ7dRIjVvgRrp1Q9pZ9fIN27b+Hs2fi5hxo1cmf16vYULOiQqucS70YKISGEEFmTVqMb/3NiIoTeiY+bmkOFj6DWOLBL3UtUSil+/PEMw4fvIyJCtwaZhYUp06Y1ZuRIT0xN5Y6wjEYKISGEEFmLUnBjOxwfC88uGz5WurtuUVSnYql+2ufPI+jbdzve3n76WKlSuVi3riNVq8qYoIxKCiEhhBBZx91DcHQUPDxlGC/SCupOA9fKaXZqKyszrl6Nv/Q2ZEg15sxpjo1N6g28FqlPCiEhhBCZ3+OzcGwMBOwzjOf3hHozoGD9NE/B1taStWs70LbtbyxZ0po2bUql+TnFu5NCSAghROYVdB2Ojwe/9YZxl/JQdzoUfT9VJkNMjK/vY2xtLSla1Fkfq1YtP/7+n2JlJR+vmYX8poQQQmQ+YQ/A52vw/QmUJj7u4K4bA1S6O5iapcmptVrF99+f4quv9lOlSj6OHu1rMCu0FEGZi/y2hBBCZB4Rz+GvmfDPd7rb4uPkyA21xkPFj8DcKs1O//BhKH36bOf3328CcPLkPRYv/othw2qm2TlF2jL6wiaLFi3C3d0da2tratasyenTp1+7/fz58ylVqhQ5cuTAzc2N4cOHExkZ+dp9hBBCZHIx4XBqBvxcFP6aFV8EWdqD59cw4CZUHZamRdD27VepUGGxvggCGD68FgMHeqTZOUXaM2qP0Pr16xkxYgRLliyhZs2azJ8/nxYtWuDn54erq2uC7detW8eoUaNYvnw5np6eXLt2jT59+mBiYsK3335rhJ9ACCFEmtLE6C5/nfwawh/Fx82soPInUGM02LikaQrh4dGMHPk7S5ee0cfy5bNj5cp2NG+e+rfhi/RlouKWwzWCmjVrUr16dRYuXAiAVqvFzc2NYcOGMWrUqATbDx06lCtXrnDgwAF9bOTIkZw6dYpjx44l65whISE4OjoSHByMg4PM7imEEBmS0sLV9XBiPLyI74HBxFS3FljtieDgluZpnDnzgO7dt3Dt2jN9rF270ixb1gYXl9RbjkO8WVp9fhvt0lh0dDRnzpyhadOm8cmYmtK0aVN8fHwS3cfT05MzZ87oL5/5+/uze/duWrVqleR5oqKiCAkJMfgnhBAig1IKbu2BNVVhd3fDIqhER/C6CC1+Spci6O7dYDw9l+uLIBsbC5Yta8OWLZ2lCMpCjHZpLDAwEI1GQ548eQziefLk4erVq4nu0717dwIDA6lbty5KKWJjYxk8eDBjxoxJ8jwzZsxg8uTJqZq7EEKINHD/BBwbDfeOGMYLNYa6MyBfjXRNx83NkY8/rsb8+afw8MjHunUdKVkyV7rmINKe0QdLp8ShQ4eYPn06P/zwA2fPnmXLli3s2rWLKVOmJLnP6NGjCQ4O1v+7e/duOmYshBDijQIvwra28FsdwyIojwd8+Ad0OpBuRdB/R4vMmNGUb79tzokT/aUIyqKM1iPk4uKCmZkZjx8/Nog/fvyYvHnzJrrP+PHj6dWrFwMGDACgQoUKhIeH89FHHzF27FhMTRPWdVZWVlhZpd1dBEIIId5ScIBuQdTLa4BXChDnkrrlMEp0TLPJEP8rJCSKTz/dQ40aBfj44+r6uLW1OcOH106XHIRxGK1HyNLSEg8PD4OBz1qtlgMHDlC7duJ/dC9fvkxQ7JiZ6SbMMuKYbyGEECkR/hj+/BSWl4TLq9EXQXYFoNky6HMJSn6YbkWQj89dKldewqpV5xk58neuXHmaLucVGYNRb58fMWIEXl5eVKtWjRo1ajB//nzCw8Pp27cvAL1796ZAgQLMmDEDgDZt2vDtt99SpUoVatasyY0bNxg/fjxt2rTRF0RCCCEyqKhg+HsunPlWNy9QHGtnqDFGdzu8RY50Syc2VsvUqUeYOvUIGo2uGLOwMOXmzSDKlMmdbnkI4zJqIdSlSxeePn3KhAkTePToEZUrV2bv3r36AdR37twx6AEaN24cJiYmjBs3jvv375M7d27atGnDtGnTjPUjCCGEeJPYSDj3A5yaDpHxt6FjbgMew6HaF2DtlK4p+fsH0bPnFnx87uljnp5u/PJLe4oUcX7NniKrMeo8QsYg8wgJIUQ60cbCpdW6cUBh8QUHpha6pTBqjQPbxMeEphWlFKtXn2fo0D2EhUUDYGZmwoQJDRgzpp7BmmEiY0mrz29Za0wIIUTqUgpubIVjY+H5q9OhmECZHuA5GZyKpntaL15EMmjQTjZsuKSPFS3qzNq1HahVq2C65yMyBimEhBBCpJ47f8LRUfDoL8N40fd1d4LlrmicvNCNvT51Kr5nqk+fynz3XUvs7eXO4uxMCiEhhBDv7tHfcGwM3P7DMJ6/DtT7BgrWNU5er3B0tGbNmvZ06LCBH35oRadO5YydksgApBASQgjx9p77wfHxcG2jYdylAtSbAUVapdtt8P/l5xeIra0lBQvGjyepV68wAQGfYWtraZScRMYjhZAQQoiUC70HPpPh4gpQmvi4YxGoMwVKd9MtkGoESil+/PEMw4fvo1atguzf3xtT0/hiTIog8SophIQQQiRfxDM4/Q388z1oouLjNnmg1nioOBDMjFdoPH0azoABO/D29gPg4MEAfvzxDIMHVzNaTiJjk0JICCHEm8WEw5n58NcsiA6Jj1s6QPX/QdXPwNLOaOkB7Nt3gz59tvPoUZg+NniwB717VzJiViKjk0JICCFE0jTRcGEZnJwCL19ZG9LMCqoMgxqjIIdxFyONjIxl9Oj9zJ9/Sh9zcbFh+fIPaNOmlBEzE5mBFEJCCCESUlq4+qtuIHTwrfi4iSmU7we1J4K98efe8fV9TI8eW/D1faKPtWhRjJUr25E3r3F7qETmIIWQEEKIeErBrd26W+GfXjB8rGQn3UDonBmjl+X27RdUr76MqCjdYG0rKzNmzWrG0KE1DAZHC/E6UggJIYTQuXcMjo2G+8cM44WbQd3pkDdjDTguXNiJ3r0rsWzZWSpUcGXduo6UL+9q7LREJiOFkBBCZHdPL+h6gPx3GcbzVoe6M6BwE+PklQzz5rWgcGFHRo70xNpaPtJEyslfjRBCZFcv/OHEBLiyDnhl/e2cpXXLYRRvb7TJEP8rPDyakSN/p1atgvTpU1kft7W1ZOzY+sZLTGR6UggJIUR2E/4ITk6FCz+CNiY+bldQtyBqud5gmnE+Hs6ceUCPHlvw83vG2rW+1KtXiGLFcho7LZFFZJy/dCGEEGkrKhj+mg1n5kHsy/i4dS6oOQYqfwzm1sbL7z80Gi1z5pxg3LiDxMZqAdBqFRcvPpFCSKQaKYSEECKri4mAc4vg9AyIfB4ft7AFjxFQbSRYORovv0TcvRtMr15bOXz4tj7m4ZGPdes6UrKkcectElmLFEJCCJFVaWPh4krwmQRh9+PjphZQaTDUHAu2eYyVXZI2bLjEoEE7efEiEtANUxo1qi6TJjXE0tLMyNmJrEYKISGEyGqUguub4dhYCLr2ygMmULanbhyQYxGjpZeU0NAohg3bw6pV5/UxNzcH1qxpT4MG7sZLTGRpUggJIURWcns/HB0Fj88Yxot9AHWmQu4KxskrGaKiNPz++019u0uXcixe3Bpn5xxGzEpkdVIICSFEVvDwtG4yxDt/GsYL1IN630ABT+PklQIuLjasWtWODz/cyMKF79GzZ0VMMsjt+yLrkkJICCEys2dX4Pg4uL7FMJ67EtSbAe4tM8xcQP/l7x+Era0FefLErwnWrFkxbt/+HCenjHP3msjaTI2dgBBCiLcQchf29YdV5Q2LIMei0God9DoLRd7LkEWQUopVq85RqdIS+vXzRill8LgUQSI9SY+QEEJkJi8DdbfBn1sEmqj4uG1eqDUBKvQHM0vj5fcGQUERDB68iw0bLgGwe/d1Vqw4R79+VYycmciupBASQojMIDpMNxHi37MhOjQ+buUI1b+Cqp/q5gXKwA4dCqBXr63cuxeij/XpU5lOncoaMSuR3UkhJIQQGVlslG4pjFNT4eWT+Li5NVT5VFcE5cjYsyxHR2uYMOEgs2YdJ+4qmLOzNUuXvk+nTuWMm5zI9qQQEkKIjEirgavr4PgECAmIj5uYQYUBUGs82BcwWnrJdfVqID16bOHs2Yf6WKNG7qxe3Z6CBR2MmJkQOlIICSFERqIU3NwBx8dC4EXDx0p1Ac+vIWdJ4+SWQv7+QVStupSIiFgALCxMmTatMSNHemJqmvEGcYvsSQohIYTIKO4dgSOj4KGPYdy9BdSdDnmqGievt1S0qDMdOpRh7VpfSpXKxbp1HalaNZ+x0xLCgBRCQghhbE/OwbExcGuPYTxfTag7Awo1MkpaqWHRolYULuzI2LH1sbGxMHY6QiTwToVQZGQk1tYy34MQQryVoBtwYgJc/dUwnrOMrgeoeNsMOQ9QYiIjYxk9ej+enm4GA6AdHa2ZNq2JETMT4vVSPKGiVqtlypQpFChQADs7O/z9/QEYP348P//8c6onKIQQWU7YQ9j/MawsY1gE2ReCFivAyxdKtMs0RZCv72Nq1FjG/Pmn+Oijndy9G2zslIRIthQXQlOnTmXlypXMmjULS8v4SbvKly/PTz/9lKrJCSFElhL5Ao6OgZ+LwfnFoNUNIiaHCzScB/38oHwfMDUzZpbJptUqFiw4SfXqy/D11d3aHxERw99/PzByZkIkX4ovja1evZoff/yRJk2aMHjwYH28UqVKXL16NVWTE0KILCHmJfyzEP76BiKD4uMWdlBtJHiMAKvMdSv5w4eh9O27nX374leLr1DBlXXrOlK+vKsRMxMiZVJcCN2/f5/ixYsniGu1WmJiYlIlKSGEyBI0MXBpBfhMhrBXeknMLKHSx1BzDNjkNl5+b2n79qsMGLCDwMCX+tjw4bWYPr0J1tZyD47IXFL8F1u2bFmOHj1K4cKFDeKbNm2iShVZK0YIIVBauLZJtyp80PX4uIkplO0NnpPAoXCSu2dU4eHRjBz5O0uXntHH8uWzY+XKdjRvXsyImQnx9lJcCE2YMAEvLy/u37+PVqtly5Yt+Pn5sXr1anbu3JkWOQohROagFNz+XTcO6MlZw8eKt4M6U8El8y4pERISxebNV/Ttdu1Ks2xZG1xcbIyYlRDvJsWDpdu2bcuOHTvYv38/tra2TJgwgStXrrBjxw6aNWuWFjkKIUTG9+AkbGwMm1saFkEFG0A3H2i7NVMXQQD58tnz009tsLGxYNmyNmzZ0lmKIJHpmSgVtwRe9hASEoKjoyPBwcE4OGSuwYlCiAzo2WU4NhZubDOMu1aBejOgcPNMcxv8f929G4ytrSU5c+YwiD95Eo6ra8Ze6V5kPWn1+Z3iHqGiRYvy7NmzBPEXL15QtGjRVElKCCEyvJDbsLcvrKpgWAQ5FYfWv0HPv3VLY2TSImjDhktUrLiEQYN28t/vy1IEiawkxWOEAgIC0Gg0CeJRUVHcv38/VZISQogM6+VTODUdzv8Amuj4uG0+qD0RyvcDs8y7lERISBSffrqHVavOA7Bp02XWrfOlR4+KRs5MiLSR7ELI29tb///79u3D0dFR39ZoNBw4cAB3d/dUTU4IITKM6FD4+1v4ew7EhMXHrZygxmioMhQsMvd4GR+fu/TosYVbt17oY126lKNVqxLGS0qINJbsQqhdu3YAmJiY4OXlZfCYhYUF7u7uzJ07N1WTE0IIo4uNggtL4ORUiAiMj5vngKqfQ/UvwdrZaOmlhthYLdOmHWHKlCNoNLrLYPb2lixa1IqePStikkkv7wmRHMkuhLRaLQBFihThr7/+wsXFJc2SEkIIo9Nq4MovcHwChN6Jj5uaQ4WBUGs82OUzXn6pxN8/iJ49t+Djc08f8/R045df2lOkSOYu8IRIjhSPEbp161Za5CGEEBmDUnDTG46N0d0R9qrS3cDza3BOOLt+ZnTjxnOqVl1KaKhurJOZmQkTJjRgzJh6mJun+F4aITKlt5oLPTw8nMOHD3Pnzh2io6MNHvv0009TJTEhhEh3dw/B0dHw8KRhvMh7UGca5Mlas+cXK+ZMkyZF2bbtKkWLOrN2bQdq1Spo7LSESFcpLoT++ecfWrVqxcuXLwkPDydnzpwEBgZiY2ODq6urFEJCiMzn8VldD1DAPsN4vtq6uYDcGhgnrzRmYmLCsmVtKFzYkSlTGmFvb2XslIRIdynu+xw+fDht2rQhKCiIHDlycPLkSW7fvo2Hhwdz5sxJixyFECJtBF2HnV3hFw/DIihXOWi7HbodzzJFUHS0hlGj9rNr1zWDuIuLDfPnt5QiSGRbKZ5Z2snJiVOnTlGqVCmcnJzw8fGhTJkynDp1Ci8vL65evZpWuaYKmVlaCEHYA/D5Gnx/AvXKvGgOhXVjgMr0AFMz4+WXyvz8AunefQtnzz7E1dWWCxcGkyePnbHTEiJFMszM0hYWFpia6nZzdXXlzh3d3RSOjo7cvXs31RITQohUFxkER0bBz8XhwtL4IihHbmi0APr6QbneWaYIUkqxdOnfVKmylLNnHwIQFBTB8ePyXi1EnBSPEapSpQp//fUXJUqUoEGDBkyYMIHAwEDWrFlD+fLl0yJHIYR4NzEv4ex38NdMiHoRH7e0h2pfgsfnuv/PQp4+DWfAgB14e/vpY6VK5WLduo5UrZr5b/sXIrWkuBCaPn06oaGhAEybNo3evXszZMgQSpQowc8//5zqCQohxFvTxMDFn3WXwcIfxsfNLKHyUN2M0DZZb060fftu0KfPdh49ip8Be8iQasyZ0xwbm8y7/IcQaUFWnxdCZD1KC34b4Pg4eHEzPm5iCuX66NYEcyhktPTSSmRkLKNH72f+/FP6mIuLDcuXf0CbNqWMmJkQ7y7DjBFKytmzZ3n//fdT63BCCJFySsGtvbDGA3Z1MyyCSnQAr4vQ4ucsWQQBPHkSzooV5/Ttli2L4+s7RIogIV4jRYXQvn37+OKLLxgzZgz+/v4AXL16lXbt2lG9enX9MhxCCJHuHvjAhkaw5T14ei4+7tYIup+EDzZDrjJGSy89FCrkyOLFrbGyMuO771qye3d38uaVu8OEeJ1kjxH6+eefGThwIDlz5iQoKIiffvqJb7/9lmHDhtGlSxcuXrxImTJZ+01GCJEBBV6EY2N1y2K8yrUq1PsGCjeFLLpo6MOHodjaWuLgED8HULduFahbtxBubo5GzEyIzCPZPUILFixg5syZBAYGsmHDBgIDA/nhhx/w9fVlyZIlUgQJIdJXcADs8YJVFQ2LIOcS8P4G6PkXuDfLskXQ9u1XqVhxCZ9+uifBY1IECZF8yR4sbWtry6VLl3B3d0cphZWVFQcPHqROnTppnWOqksHSQmRyL5/AyWlwfjFoY+Ljdvmh9iTdYGizrHtnVHh4NCNH/s7SpWf0sU2bOtGxY1kjZiVE2kurz+9kXxqLiIjAxsYG0K1PY2VlRb58MheFECKdRIXA33PhzFyICY+PWzvrboOvPBQschgvv3Rw5swDunffwrVrz/Sxdu1K06CBu/GSEiKTS9E8Qj/99BN2drqBd7GxsaxcuRIXF8M5OGTRVSFEqoqN1PX+nJwGkfEFAOY2uokQq30J1k7Gyi5daDRa5sw5wbhxB4mN1d2UYmNjwYIFLenfvwomWfTynxDpIdmXxtzd3d/4YjMxMdHfTZZcixYtYvbs2Tx69IhKlSrx/fffU6NGjSS3f/HiBWPHjmXLli08f/6cwoULM3/+fFq1apWs88mlMSEyCW0sXF4DJyZC6CtLQpiaQ8VBUGsc2OY1Xn7p5O7dYHr12srhw7f1MQ+PfKxb15GSJXMZMTMh0pfRL40FBASk2knjrF+/nhEjRrBkyRJq1qzJ/PnzadGiBX5+fri6uibYPjo6mmbNmuHq6sqmTZsoUKAAt2/fxsnJKdVzE0IYiVJwY5vuTrDnV155wATKdAfPyeBUzFjZpatr155Rs+ZPvHgRCejGfY8aVZdJkxpiaZk11kMTwtiMOrN0zZo1qV69OgsXLgRAq9Xi5ubGsGHDGDVqVILtlyxZwuzZs7l69SoWFm83GFJ6hITIwO4chKOj4NFpw3jR1lBnGrhWMk5eRqLVKlq1Wsu+fTdxc3NgzZr2Mh5IZFsZfmbplIqOjubMmTM0bdo0PhlTU5o2bYqPj0+i+3h7e1O7dm0++eQT8uTJQ/ny5Zk+fToajSa90hZCpIXHZ2BTC9jY2LAIyl8HuhyB9juzXREEYGpqwooVbfnoo6qcPz9YiiAh0kCKF11NLYGBgWg0GvLkyWMQz5MnD1evXk10H39/f/7880969OjB7t27uXHjBh9//DExMTFMnDgx0X2ioqKIiorSt0NCQlLvhxBCvJvnfnB8PFzbaBh3KQ91Z+h6grLJQODYWC3Tph2hXr3CNG5cRB/Pl8+epUvbGDEzIbI2oxVCb0Or1eLq6sqPP/6ImZkZHh4e3L9/n9mzZydZCM2YMYPJkyenc6ZCiNcKvadbEf7iclCv9Og6uEOdKVC6G5hmnzEw/v5B9Oy5BR+fexQoYM+FC0PImTNrTwUgREZhtEtjLi4umJmZ8fjxY4P448ePyZs38TtB8uXLR8mSJTEzi3+DLFOmDI8ePSI6OjrRfUaPHk1wcLD+3927dxPdTgiRDiKew+H/wfIS4LssvgiycYXG30M/PyjbM9sUQUopVq8+T+XKS/DxuQfAo0dhHDx4y8iZCZF9vFUhdPPmTcaNG0e3bt148uQJAHv27OHSpUvJPoalpSUeHh4cOHBAH9NqtRw4cIDatWsnuk+dOnW4ceOGweKu165dI1++fFhaWia6j5WVFQ4ODgb/hBDpLCYcTk2Hn4vC37N1cwMBWDroeoD634QqQ8Es8ddxVhQUFEHXrpvx8tpGaKjui1zRos4cO9ZPZokWIh2luBA6fPgwFSpU4NSpU2zZsoWwsDAAzp8/n+TlqaSMGDGCZcuWsWrVKq5cucKQIUMIDw+nb9++APTu3ZvRo0frtx8yZAjPnz/ns88+49q1a+zatYvp06fzySefpPTHEEKkB000nPsBfiqmux0+KlgXN7MCj5G6AqjWOLDMXiukHzoUQMWKS9iwIf7LY58+lTl3bhC1ahU0YmZCZD8pHiM0atQopk6dyogRI7C3t9fHGzdurL8NPrm6dOnC06dPmTBhAo8ePaJy5crs3btXP4D6zp07mJrG12pubm7s27eP4cOHU7FiRQoUKMBnn33GV199ldIfQwiRlpQWrv6mGwgd/MokqyamUL4f1JoADm7Gy89IoqM1TJx4kJkzjxM3cYmTkzU//vg+nTqVM25yQmRTKZ5HyM7ODl9fX4oUKYK9vT3nz5+naNGiBAQEULp0aSIjI9Mq11Qh8wgJkYaUglt74NhoeHrB8LGSH4LnFMhV2ji5ZQD+/kFUrLiY8HDdYrENG7qzenU7WS1eiGTIMPMIOTk58fDhwwTxf/75hwIFCqRKUkKITOj+cVjfALa2NiyCCjWFHqehzcZsXQSBbgzQggUtsbAwZdasphw40FuKICGMLMWXxrp27cpXX33Fxo0bMTExQavVcvz4cb744gt69+6dFjkKITKyp7668T/+OwzjeapBvRlQuGni+2UDgYEvsbGxwMYmfib8fv2q0KCBO8WL5zRiZkKIOCnuEZo+fTqlS5fGzc2NsLAwypYtS/369fH09GTcuHFpkaMQIiMKvgW7e8HqSoZFkHMpaLNJ1wuUjYugfftuUKHCYr788neDuImJiRRBQmQgb73W2J07d7h48SJhYWFUqVKFEiVKpHZuaULGCAnxjsIfw8mpcGEpaGPi43YFwXMSlPPSrRCfTUVGxjJ69H7mzz+lj+3c2Y3WrUsaMSshMj+jrz4f59ixY9StW5dChQpRqFChVEtECJHBRQXD33PgzDzdvEBxrHNCzTFQ6WOwyN6zIfv6PqZHjy34+j7Rx1q2LI6HR34jZiWEeJ0UF0KNGzemQIECdOvWjZ49e1K2rEz8JUSWFhMB53/QTYgY+Tw+bm4D1UZAtS/AKnsP+NVqFd9/f4qvvtpPVJRutmwrKzNmz27G0KE1MMkm66UJkRmluBB68OABv/32G7/++ivffPMNFStWpEePHnTr1o2CBWUiMCGyDG0sXFoFJyZB2L34uKkFVBykmwjRNk+Su2cXDx+G0rfvdvbtu6mPVajgyrp1HSlf3tWImQkhkuOtxwgB3Lp1i3Xr1vHrr79y9epV6tevz59//pma+aU6GSMkxBsoBde36O4EC/J75QET3TpgnpPBsUiSu2cnfn6B1K27gsDAl/rY8OG1mD69CdbW2XeclBBpIa0+v9+pEALQaDTs2bOH8ePHc+HCBTQazZt3MiIphIR4jdsH4OgoePy3YbxoG6g7DXJXME5eGZRGo6Vx49UcOXKbfPnsWLmyHc2bFzN2WkJkSRlmsHSc48ePs3btWjZt2kRkZCRt27ZlxowZqZaYECIdPfoLjo6BO/sN4wXqQr1voEAd4+SVwZmZmbJmTXvGjfuTb79tgYuLjbFTEkKkUIp7hEaPHs1vv/3GgwcPaNasGT169KBt27bY2GSONwDpERLiFUHX4dgYuLbJMJ67ItSdAUXeAxnoC+h6f+bMOUG9eoXx9Mx+66QJYWwZpkfoyJEjfPnll3Tu3BkXF5dUS0QIkc7uH4ct70F0aHzMsSjUmQKlu+oWSBUA3L0bTK9eWzl8+DZFijhx7txgHBysjJ2WECIVpLgQOn78eFrkIYRIT/eOwJZW8fMB2eSB2hOgwgAwszRubhnMhg2XGDRoJy9e6BaUDgh4we+/3+TDD2XqECGygmQVQt7e3rz33ntYWFjg7e392m0/+OCDVElMCJFG7hyEre9D7L93OhVuBh9sAUs74+aVwYSERPHpp3tYteq8Pubm5sCaNe1p0MDdeIkJIVJVssYImZqa8ujRI1xdXTE1Tbq73MTERO4aEyIju70ftn0AsRG6dpH3dEWQubVx88pgfHzu0rPnVvz9g/SxLl3KsXhxa5yds/fs2UIYi1HHCGm12kT/XwiRiQTsg+3tIFZ3iYei7+sWRzWXsS5xYmO1TJt2hClTjqDR6L4j2ttbsmhRK3r2rCgzRAuRBaV4NOTq1auJiopKEI+Ojmb16tWpkpQQIpX57/63J+jfIqhYW/hgsxRB/3Hz5nNmzDimL4I8Pd04f34wvXpVkiJIiCwqxYVQ3759CQ4OThAPDQ2lb9++qZKUECIV3dyh6wnSROvaJTpCm40yKDoRpUq5MGtWM8zMTJg8uSGHD/ehSBFnY6clhEhDKb5rTCmV6Deje/fu4eiYvRdeFCLDub4VdnYBbYyuXaoLvLcGzCyMm1cGERQUgY2NBVZW8W+Fw4bVoHHjIrJOmBDZRLILoSpVqmBiYoKJiQlNmjTB3Dx+V41Gw61bt2jZsmWaJCmEeAvXNsGubrrFUwFKd4f3VoGprIEFcOhQAL16baVr13LMnt1cHzcxMZEiSIhsJNnviO3atQPg3LlztGjRAju7+FttLS0tcXd3p2PHjqmeoBDiLVz9DXb3BPXvXZxle0OL5WBqZty8MoDoaA0TJx5k5szjKAVz5vjQsmVxmjQpauzUhBBGkOxCaOLEiQC4u7vTpUsXrK3ldlshMqTLv8BeL1D/3uFZvh80+1GKIHSrxXfvvoWzZx/qY40auVOqlMySL0R2leI+ci8vr7TIQwiRGi6tgr19gX+nB6v4ETRdnO2Xy1BK8eOPZxg+fB8REbpLhRYWpkyb1piRIz0xNZU7woTIrpJVCOXMmZNr167h4uKCs7Pza28jff78eaolJ4RIAd+f4feB6IugSh9Dk++zfRH09Gk4AwbswNvbTx8rVSoX69Z1pGrVfEbMTAiRESSrEJo3bx729vb6/5f5NITIYM4vhf2D49tVPoVG87P9yvF+foE0bLiKR4/C9LEhQ6oxZ05zbGzkzjkhRDKX2MhKZIkNkeX8swj+HBrf9hgBDeZk+yIIICZGQ506y/nrrwe4uNiwfPkHtGlTythpCSHeQlp9fqe4z/zs2bP4+vrq29u3b6ddu3aMGTOG6OjoVEtMCJEMZxcYFkHV/ydF0CssLMxYu7YDHTqUwdd3iBRBQogEUlwIDRo0iGvXrgHg7+9Ply5dsLGxYePGjfzvf/9L9QSFEEn4ey4c/Dy+XXMs1Psm2xZBWq3iu+9O8c8/Dw3iJUrkYvPmzuTNa5fEnkKI7CzFhdC1a9eoXLkyABs3bqRBgwasW7eOlStXsnnz5tTOTwiRmNMz4fAX8e3aE6HOlGxbBD18GEqrVmv57LO9dO++hZcvY4ydkhAik0hxIaSU0q9Av3//flq1agWAm5sbgYGBqZudECKhk1Ph6Kj4tufX4Dkp2xZB27dfpWLFJezbdxOAq1cD2bPnupGzEkJkFimeR6hatWpMnTqVpk2bcvjwYRYvXgzArVu3yJMnT6onKIT4l1LgM1n3L07dGVBzVNL7ZGHh4dGMHPk7S5ee0cfy5bNj5cp2NG9ezIiZCSEykxQXQvPnz6dHjx5s27aNsWPHUrx4cQA2bdqEp6dnqicohEBXBB0fD6emxcfqz4bqXyS9TxZ25swDunffwrVrz/Sxdu1Ks2xZG1xcbIyYmRAis0m12+cjIyMxMzPDwiJjz80ht8+LTEcpODoa/poZH2s4Dzw+N1pKxqLRaJk9+wTjxx8kNlZ3id7GxoL581swYEBVmeNMiCwsrT6/33oZ6jNnznDlyhUAypYtS9WqVVMtKSHEv5SCw1/CmbnxscYLoconxsvJiK5eDTQogjw88rFuXUdKlsxl5MyEEJlViguhJ0+e0KVLFw4fPoyTkxMAL168oFGjRvz222/kzp07tXMUIntSCg4N180VFKfpYqg0OOl9srhy5VyZMqURY8YcYNSoukya1BBLS1lMVgjx9lJ819iwYcMICwvj0qVLPH/+nOfPn3Px4kVCQkL49NNP0yJHIbIfpYUDQ18pgkyg2bJsVwSFhkbpe3/ifPmlJ6dPD2T69CZSBAkh3lmKC6G9e/fyww8/UKZMGX2sbNmyLFq0iD179qRqckJkS0oL+4fA+R/+DZhAi+VQcYBR00pvPj53qVx5KVOnHjGIm5mZUq1afiNlJYTIalJcCGm12kQHRFtYWOjnFxJCvCWl1a0gf+FHXdvEFN5bDeX7GDWt9BQbq2Xy5EPUq7cCf/8gpkw5wokTd42dlhAii0pxIdS4cWM+++wzHjx4oI/dv3+f4cOH06RJk1RNTohsRauBff3g4nJd28QMWq2Fsj2Nm1c68vcPon79FUyadBiNRndDa61aBcmXT5bHEEKkjRQXQgsXLiQkJAR3d3eKFStGsWLFKFKkCCEhIXz//fdpkaMQWZ82FvZ6waVVuraJGbT+FUp3NW5e6UQpxerV56lceQk+PvcAMDMzYfLkhhw+3IciRZyNm6AQIstK8V1jbm5unD17lgMHDuhvny9TpgxNmzZN9eSEyBa0sbC7J/it17VNzeH99VCig3HzSidBQREMGbKL9esv6WNFizqzdm0HatUqaMTMhBDZQYoKofXr1+Pt7U10dDRNmjRh2LBhaZWXENmDJgZ2d4drm3RtUwtoswmKf2DcvNKJn18gzZqt4e7dEH2sT5/KfPddS+ztrYyYmRAiu0h2IbR48WI++eQTSpQoQY4cOdiyZQs3b95k9uzZaZmfEFmXJhp2doUbW3VtM0v4YAsUbW3cvNJR4cJOODlZc/duCM7O1ixd+j6dOpUzdlpCiGwk2WOEFi5cyMSJE/Hz8+PcuXOsWrWKH3744c07CiESio0C7w9fKYKsoO32bFUEAVhbm7NuXUdatSrBhQtDpAgSQqS7ZK81liNHDq5cuYK7uzugu40+R44cBAQEkC9fvrTMMVXJWmPC6GIjwbsj3Nqta5tbQ7sdUDhrj7NTSrFs2Vnq1i1E2bIyA70QImWMvtZYVFQUtra2+rapqSmWlpZERESkWjJCZHkxEbC9Hdz+Xdc2t4H2O6FQI6OmldaePg1nwIAdeHv7UalSHk6dGoCV1VsvdSiEEKkmRe9E48ePx8bGRt+Ojo5m2rRpODo66mPffvtt6mUnRFYS8xK2fQB3DujaFrbQYTcUrG/cvNLYvn036NNnO48ehQFw/vxjdu68RseOZY2cmRBCpKAQql+/Pn5+fgYxT09P/P399W0TE5PUy0yIrCQ6DLa1gbuHdG0LO+i4FwrUMWZWaSoyMpZRo/azYMEpfczFxYblyz+gTZtSRsxMCCHiJbsQOnToUBqmIUQWFh0KW1rD/aO6tqUDdNwH+WsZN6805Ov7mO7dt3Dx4hN9rEWLYqxc2Y68eWWWaCFExiEX6YVIS1EhsOU9eHBC17Zygg9/h7zVjZpWWtFqFd9/f4qvvtpPVJQGACsrM2bNasbQoTUwNZVeYyFExiKFkBBpJfIFbGkJD/+9NGTtDB/uhzxVjZpWWvL1fcyIEb+j1epuRq1QwZV16zpSvryrkTMTQojEpXitMSFEMkQGwaZmrxRBuaDTn1m6CAKoVCkvY8bUBWD48FqcPj1QiiAhRIYmPUJCpLaIZ7oi6Mk/unaO3NDpAOSuYNy80sDLlzFYW5sbXPKaMKEBzZsXo169wkbMTAghkkd6hIRITS+fwsbG8UWQTR7ofDBLFkFnzjygSpWlzJ17wiBuYWEmRZAQItN4q0Lo6NGj9OzZk9q1a3P//n0A1qxZw7Fjx1I1OSEylZdPdEXQ0wu6tm0+6HwIXLLWshEajZaZM49Rq9bPXLv2jLFj/+Ts2YfGTksIId5KiguhzZs306JFC3LkyME///xDVFQUAMHBwUyfPj3VExQiUwh/BOsbQuBFXduugK4IylXamFmlurt3g2nSZDWjRh0gNlYLQMWKebCzszRyZkII8XZSXAhNnTqVJUuWsGzZMiwsLPTxOnXqcPbs2VRNTohMIeyBrgh6fkXXtneDLochZ0mjppXaNmy4RMWKSzh8+DYAJiYwenRdTpzoT8mSuYycnRBCvJ0UD5b28/Ojfv2ESwI4Ojry4sWL1MhJiMwj9J7ucljQdV3bobBuTJBjEePmlYpCQqL49NM9rFp1Xh9zc3NgzZr2NGjgbrzEhBAiFaS4EMqbNy83btzQr0If59ixYxQtWjS18hIi4wu5AxsaQfC/y8w4FtEVQQ5ZZ6Cwn18grVqtw98/SB/r0qUcS5a8j5OTtREzE0KI1JHiS2MDBw7ks88+49SpU5iYmPDgwQPWrl3LF198wZAhQ9IiRyEynuAAWN8gvghyKgadD2epIgigYEEHzM11bxP29pasXt2OX3/tKEWQECLLSHEhNGrUKLp3706TJk0ICwujfv36DBgwgEGDBjFs2LC3SmLRokW4u7tjbW1NzZo1OX36dLL2++233zAxMaFdu3ZvdV4h3sqLm7oiKCRA13Yu8W8R5GbUtNKCra0l69Z1oGFDd86fH0yvXpVkcWUhRJZiopRSb7NjdHQ0N27cICwsjLJly2Jn93YLKa5fv57evXuzZMkSatasyfz589m4cSN+fn64uiY9I21AQAB169alaNGi5MyZk23btiXrfCEhITg6OhIcHIyDg8Nb5SyysaDrsKExhN3TtXOW1s0YbZfPuHmlAqUUa9ZcoE4dN4oVy5ngMSmAhBDGlFaf329dCKWWmjVrUr16dRYuXAiAVqvFzc2NYcOGMWrUqET30Wg01K9fn379+nH06FFevHghhZBIe8/9dGOCwv+dMydXWV0RZJvHuHmlgqCgCAYP3sWGDZeoWbMAR4/2xcLCzNhpCSGEXlp9fqd4sHSjRo1e+83wzz//TPaxoqOjOXPmDKNHj9bHTE1Nadq0KT4+Pknu9/XXX+Pq6kr//v05evToa88RFRWln+sIdE+kECn27LKuJ+jlY13bpYJu2Qyb3MbNKxUcOhRAr15buXdP99o4deo+O3deo337MkbOTAgh0l6KC6HKlSsbtGNiYjh37hwXL17Ey8srRccKDAxEo9GQJ4/hN+o8efJw9erVRPc5duwYP//8M+fOnUvWOWbMmMHkyZNTlJcQBgIvwsYmupmjAXJXhg//ABsXo6b1rqKjNUyYcJBZs44T1y/s7GzNjz+2kSJICJFtpLgQmjdvXqLxSZMmERYW9s4JvU5oaCi9evVi2bJluLgk70No9OjRjBgxQt8OCQnBzS3rDWoVaeTJedjUFCICdW3XqroiKEfO1++Xwfn5BdK9+xaDpTEaNXJn9er2FCwol4yFENlHqq0+37NnT2rUqMGcOXOSvY+LiwtmZmY8fvzYIP748WPy5s2bYPubN28SEBBAmzZt9DGtVjfNv7m5OX5+fhQrVsxgHysrK6ysrFLyowih8/gfXREU+VzXzlsdOu4Da2fj5vUOlFL8+OMZhg/fR0RELAAWFqZMm9aYkSM9DVaRF0KI7CDVCiEfHx+srVM2t4ilpSUeHh4cOHBAfwu8VqvlwIEDDB06NMH2pUuXxtfX1yA2btw4QkNDWbBggfT0iNTz6G/Y1AyiXuja+WpBx71g5WjUtN7VP/88YvDgXfp2qVK5WLeuI1WrZv673oQQ4m2kuBDq0KGDQVspxcOHD/n7778ZP358ihMYMWIEXl5eVKtWjRo1ajB//nzCw8Pp27cvAL1796ZAgQLMmDEDa2trypcvb7C/k5MTQIK4EG/t4SnY3AKignXt/HWgw26wyvyXjKpWzceIEbX49tuTDBlSjTlzmmNjY/HmHYUQIotKcSHk6Gj4jdjU1JRSpUrx9ddf07x58xQn0KVLF54+fcqECRN49OgRlStXZu/evfoB1Hfu3MHUNMXzPgrxdu6fgC0tITpU1y5YH9rvAsu3myfL2KKiYrG0NDO403P69Ca0bFmcZs2KvWZPIYTIHlI0j5BGo+H48eNUqFABZ+fMOU5C5hESSbp3FLa0gph/B/27NYL2O8DC1rh5vSVf38d0776FIUOq8fHH1Y2djhBCvJO0+vxOUVeLmZkZzZs3l1XmRdZz9xBsbhlfBBVuBu13ZsoiSKtVLFhwkurVl3Hx4hNGjvydy5efGjstIYTIkFJ8aax8+fL4+/tTpEiRtMhHiPR3+wBsawOxEbq2e0v4YAtY5DBuXm/h4cNQ+vbdzr59N/WxEiUy963+QgiRllI8+Gbq1Kl88cUX7Ny5k4cPHxISEmLwT4hMJeB32PZ+fBFUtDW03Zopi6Dt269SseISgyJo+PBanD49kLJlM/8M2EIIkRaSPUbo66+/ZuTIkdjb28fv/MoAzLhFGTUaTepnmYpkjJDQu7UHtrcHzb9LsBRrC++vB/PMNe9UeHg0I0f+ztKlZ/SxfPnsWLmyHc2by4BoIUTWYPRFV83MzHj48CFXrlx57XYNGjRIlcTSihRCAoCbO2DHh6CJ1rVLdIDWv4KZpXHzSqFr157Rps2vXLv2TB9r1640y5a1wcXFxoiZCSFE6jL6oqtx9VJGL3SEeKPr22BnZ9DG6NolO0GrtWCW+ebTyZPHluhoXS+sjY0FCxa0pH//Kq9dGFkIIUS8FI0RkjdXkeld2wQ7O8UXQaW7Qet1mbIIAnB0tOaXX9pTs2YB/vlnEAMGVJXXqRBCpECyL42Zmpri6Oj4xjfZ58+fp0piaUUujWVjV9fD7h6g/h3HVrYXtFgBpmbGzSsFNm68RK1aBXFzM5zYNG6MnhBCZFVGvzQGMHny5AQzSwuRKVxZB3t6gdIt0ku5PtD8p0xTBIWERPHpp3tYteo8DRu6s39/L8zM4jt0pQgSQoi3k6JCqGvXrri6uqZVLkKkjUurYV/f+CKowgBothRMMsfSLT4+d+nZcyv+/kEAHDoUwM6d12jbtrSRMxNCiMwv2Z8E8o1TZEq+y2Fvn/giqNKQTFMExcZqmTz5EPXqrdAXQfb2lqxe3Y4PPihl5OyEECJrSPFdY0JkGhd+hD8GxberDINGCyATFPX+/kH07LkFH597+pinpxu//NKeIkUy5zp/QgiRESW7ENJqtWmZhxCp69wPcOCT+HbVz6Hhtxm+CFJKsWbNBYYO3U1oqG6OIzMzEyZMaMCYMfUwN8/4PVlCCJGZpHitMSEyvLPfwcHP4tvVvoT6MzN8EQTw998P8PLapm8XLerM2rUdqFWroPGSEkKILEy+Xoqs5e9vDYugGqMzTREEUL16AQYN8gCgT5/KnDs3SIogIYRIQ9IjJLKO07Pg6Ffx7VoTwHNShi6CYmI0mJubGtyMMHduc1q1KiEDooUQIh1Ij5DIGk5NNyyCPCdDnckZugjy8wukVq2fWbXqvEHc1tZSiiAhhEgnUgiJzM/nazg2Nr5ddxrUnmC8fN5AKcXSpX9TpcpSzp59yLBhe7hxI2PPyC6EEFmVXBoTmZdScGIinJwSH6s/C6p/abyc3uDp03AGDNiBt7efPlaggD0RETFGzEoIIbIvKYRE5qQUHBsDp7+JjzX8FjyGGy+nN9i37wZ9+mzn0aMwfWzwYA/mzm2BjU3mXPRVCCEyOymEROajFBz5H/w9Jz7W6DuoOsx4Ob1GZGQso0fvZ/78U/qYi4sNy5d/QJs2MhZICCGMSQohkbkoBYdGwNn58bEmP0DlIUZL6XVu3HhOhw7r8fV9oo+1bFmcFSvakjevnREzE0IIAVIIicxEKfjzUzi3MD7W7EeoONB4Ob2Bs7M1z55FAGBlZcbs2c0YOrSGrN0nhBAZhNw1JjIHpYUDH79SBJlAi+UZuggCyJXLhpUr21KpUh7+/vsjhg2rKUWQEEJkINIjJDI+pdUtnur7k65tYgotV0LZXkZNKzE7dvhRvXoBg8tezZoV48yZIpiZyfcOIYTIaOSdWWRsWg3s629YBL23JsMVQeHh0QwevJMPPviNfv22o5QyeFyKICGEyJjk3VlkXFoN7O0Dl1bq2iZm0PpXKNPdmFklcObMA6pW/ZGlS88AsGfPDXbuvGbkrIQQQiSHFEIiY9LGwu6ecOUXXdvUHN5fD6U6GzevV2g0WmbOPEatWj9z7dozAGxsLFi2rA3vv1/SyNkJIYRIDhkjJDIeTQzs7gHXNuraphbQZiMUb2vcvF5x924wvXpt5fDh2/qYh0c+1q3rSMmSuYyYmRBCiJSQQkhkLJpo2NkVbmzVtc0soc1mKPa+cfN6xfr1Fxk8eBcvXkQCunVdR42qy6RJDbG0NDNydkIIIVJCCiGRccRGwc7OcNNb1zazgrZboch7xs3rFSdP3qNr1836tpubA2vWtKdBA3fjJSWEEOKtyRghkTHERoJ3h/giyNwa2nlnqCIIoFatgvTqVRGALl3Kcf78YCmChBAiE5MeIWF8MRHg3R4C9una5jmg/U4o1Ni4eQFarcLU1HACxIULW9G6dQk6dy4nkyMKIUQmJz1CwrhiXsK2D+KLIAtb6LAnQxRB/v5B1K27nA0bLhnEHRys6NKlvBRBQgiRBUiPkDCemHDY2gbuHtS1Lex0RVDBukZNSynFmjUXGDp0N6Gh0Vy5spPatQvi5uZo1LyEEEKkPukREsYRHQpbWsUXQZb28OHvRi+CgoIi6Np1M15e2wgNjQYgZ84c+oVThRBCZC3SIyTSX1SIrgh6cFzXtnKEjr9DvhpGTevQoQB69drKvXsh+lifPpX57ruW2NtbGTEzIYQQaUUKIZG+ooJhc0t4eFLXtnaGD/+APB5GSyk6WsOECQeZNes4cUuEOTlZ8+OP79OpUzmj5SWEECLtSSEk0k9kEGxuAY/+0rWtc/1bBFUxWkr+/kF06rSRs2cf6mMNG7qzenU7GRMkhBDZgBRCIn1EPIdNzeDJWV07hwt0OgC5Kxo1rRw5zLlzJxgACwtTpk1rzMiRnglumRdCCJE1yWBpkfZeBsLGxvFFkI0rdD5o9CIIIF8+e37++QNKl3bh5MkBfPllHSmChBAiGzFRKm5URPYQEhKCo6MjwcHBODg4GDudrO/lE9jYFAJ9dW3bvNDpT8hVxijp7N/vT5UqecmVy8YgHhOjwcJC1gkTQoiMKq0+v6VHSKSd8EewoVF8EWSXHzofMkoRFBkZy/Dhe2nWbA2DBu3kv/W/FEFCCJE9SSEk0kbYA1jfEJ5d1rXtCkLnw5CzVLqn4uv7mBo1ljF//ikANm++wt69N9I9DyGEEBmPFEIi9YXehw0NIchP17YvBF0Og3PxdE1Dq1UsWHCS6tWX4ev7BAArKzO++64lLVumby5CCCEyJrlrTKSukDu6gdEvburaDu66gdGO7umaxsOHofTtu519+27qYxUquLJuXUfKl3dN11yEEEJkXFIIidQTHKAbExQSoGs7FdMNjHYolK5peHv70b+/N4GBL/Wx4cNrMX16E6yt5U9eCCFEPPlUEKnjhb+uCAq9o2s7l9AVQfYF0zWN48fv0Lbtb/p23rx2rFrVjubNi6VrHkIIITIHGSMk3l3QDVjf4JUiqJTu7rB0LoIAPD3daN++NABt25bC13eIFEFCCCGSJD1C4t08vwYbG+nuEgPIVVY3Y7Rt3nQ5vVIKE5P4CRBNTExYtqwNH3xQCi+vSgaPCSGEEP8lPULi7T27AhsaxBdBLuV1A6PTqQi6ezeYxo1Xs3PnNYN4rlw29OlTWYogIYQQbyQ9QuLtBF7S3R32UndbOrkrwYf7wcYlXU6/YcMlBg3ayYsXkVy69IQLF4aQN69dupxbCCFE1iE9QiLlnl7QzRMUVwS5VtUNjE6HIigkJIo+fbbRpcsmXryIBMDa2pwHD0LT/NxCCCGyHukREinz5Jxu7bDIZ7p2nmrw4e9g7Zzmp/bxuUuPHlu4deuFPtalSzkWL26Ns3OOND+/EEKIrEcKIZF8j8/ApmYQGaRr56sJHfaCtVOanjY2VsvUqUeYOvUIGo1ujTB7e0sWLWpFz54VZSyQEEKItyaFkEieh6dhc3OICta183tChz1glXorACcmIOAF3btvxsfnnj7m6enGL7+0p0iRtO+FEkIIkbXJGCHxZg98dD1BcUVQgXrQcW+aF0EApqYmXL78FAAzMxMmT27I4cN9pAgSQgiRKqQQEq937xhsag7RIbq2WyPouAcs7dPl9IUKObJkyfsULerMsWP9mDChAebm8mcrhBAidZgopZSxk0hPISEhODo6EhwcjIND2vdoZGp3D8PW1hATrmsXagrttoOFTZqd8ujR21SqlBcHByuDeGRkrKwTJoQQ2VhafX5niK/WixYtwt3dHWtra2rWrMnp06eT3HbZsmXUq1cPZ2dnnJ2dadq06Wu3F2/pzp+w5b34Isi9BbTzTrMiKDpaw6hR+2nQYCXDhu1J8LgUQUIIIdKC0Quh9evXM2LECCZOnMjZs2epVKkSLVq04MmTJ4luf+jQIbp168bBgwfx8fHBzc2N5s2bc//+/XTOPAsL+EPXExQboWsXaQVtt4FF2tyi7ucXSO3aPzNz5nGUgtWrz/P77zfT5FxCCCHEq4x+aaxmzZpUr16dhQsXAqDVanFzc2PYsGGMGjXqjftrNBqcnZ1ZuHAhvXv3fuP2cmnsDW7the3tQBOlaxdtA202grnVa3d7G0opfvzxDMOH7yMiIhYACwtTpk1rzMiRnpiaym3xQgghdNLq89uo1xuio6M5c+YMo0eP1sdMTU1p2rQpPj4+yTrGy5cviYmJIWfOnIk+HhUVRVRUlL4dEhLybklnZf67wLsDaKJ17eLt4f3fwMwy1U/19Gk4AwbswNvbTx8rVSoX69Z1pGrVfKl+PiGEECIxRr00FhgYiEajIU+ePAbxPHny8OjRo2Qd46uvviJ//vw0bdo00cdnzJiBo6Oj/p+bm9s7550l3dgO29vHF0ElP4T316dJEbRv3w0qVlxiUAQNGVKNs2cHSREkhBAiXRl9jNC7+Oabb/jtt9/YunUr1tbWiW4zevRogoOD9f/u3r2bzllmAte3wI4PQRuja5fqCq1/BTOLVD/V0aO3adlyLY8ehQHg4mKDt3dXfvihNTY2qX8+IYQQ4nWMemnMxcUFMzMzHj9+bBB//PgxefPmfe2+c+bM4ZtvvmH//v1UrFgxye2srKywskr98S1Zht8G2NUdlEbXLtMTWq4A07T506hbtxAtWxZn794btGxZnBUr2sqq8UIIIYzGqD1ClpaWeHh4cODAAX1Mq9Vy4MABateuneR+s2bNYsqUKezdu5dq1aqlR6pZ05V1sKtbfBFUzgtarkyzIgjAxMSEFSva8sMPrdi9u7sUQUIIIYzK6JfGRowYwbJly1i1ahVXrlxhyJAhhIeH07dvXwB69+5tMJh65syZjB8/nuXLl+Pu7s6jR4949OgRYWFhxvoRMqfLa2BPL1BaXbt8f2ixHEzNUu0Ujx6F0br1Og4c8DeI581rx5Ah1WWxVCGEEEZn9FnqunTpwtOnT5kwYQKPHj2icuXK7N27Vz+A+s6dO5iaxtdrixcvJjo6mg8//NDgOBMnTmTSpEnpmXrmdXEF7OsP/DtzQsVB0PQHMEm9utjb24/+/b0JDHzJ+fOPOH9+MLlypd2M1EIIIcTbMPo8Qukt288jdGEZ/PFRfLvyJ9D4e0il3pnw8GhGjvydpUvP6GP58tmxY0c3PDzyp8o5hBBCZD9Zch4hkc7OL4H9Q+LbVT+DhvNSrQg6c+YBPXpswc/vmT7Wrl1pli1rg4uL9AYJIYTIeKQQyi7+WQh/Dotve4yEBrNTpQjSaLTMmXOCceMOEhurG3NkY2PBggUt6d+/iowFEkIIkWFJIZQdnJkHh0bEt2uMgrrTU6UIuncvhF69tnLoUIA+5uGRj3XrOlKyZK53Pr4QQgiRlox+15hIY3/NNiyCao1LtSIIICIihr/+0i14a2ICo0fX5cSJ/lIECSGEyBSkEMrKTs2AI/+Lb3tOhjpTUq0IAihRIhffffcebm4OHDzoxfTpTbC0TL1b8IUQQoi0JHeNZVU+U+DEhPh2nalQa+w7H/b06fuUL+9qsByGUorw8Bjs7FJ/XTIhhBAC0u7zW3qEshql4PhEwyKo3jfvXATFxmqZPPkQnp4/88UXvxs8ZmJiIkWQEEKITEkKoaxEKTg+Dk5+HR9rMBdqfPVOh/X3D6J+/RVMmnQYjUaxePHfHDx46x2TFUIIIYxP7hrLKpSCI1/B37PjY40WQNVP3+GQijVrLjB06G5CQ6MBMDMzYcKEBtSrV/hdMxZCCCGMTgqhrEApODxSd5t8nMYLoconb33IoKAIhgzZxfr1l/SxokWdWbu2A7VqFXyXbIUQQogMQwqhzE4pOPgZ/PN9fKzZUqj4UdL7vMHhwwH06rWVu3dD9LE+fSrz3Xctsbe3epdshRBCiAxFCqHMTGnhwFA4v/jfgAk0/wkq9HvrQx4+HECjRquIu5fQ2dmapUvfp1Oncu+erxBCCJHByGDpzEpp4Y/BhkVQyxXvVAQB1K1biPr1deN/GjVy58KFIVIECSGEyLKkRygz0mrg94FwaYWubWIK762GMj3e+dBmZqasWdOejRsv8/nntTA1lXXChBBCZF3SI5TZaDWwr+8rRZAZtFr3VkXQ06fhdOy4gePH7xjE3dwcGTGithRBQgghsjzpEcpMtLGwxwuurtO1Tc2h9a9Q8sMUH2rfvhv06bOdR4/COHv2IefPD8bBQQZCCyGEyF6kRyiz0MTArh6vFEEW8P7GFBdBkZGxfP75Xlq2XMujR2EAhIVFc+3as9TOWAghhMjwpEcoM9BEw65ucH2Lrm1mCW02QbE2KTqMr+9junffwsWLT/Sxli2Ls2JFW/LmtUvNjIUQQohMQQqhjC42CnZ2gZvbdW0zK/hgCxRtlexDaLWK778/xVdf7ScqSgOAlZUZs2c3Y+jQGpik4mr0QgghRGYihVBGFhsJOz4E/126trk1tN0G7i2SfYiHD0Pp23c7+/bd1McqVHBl3bqOlC/vmsoJCyGEEJmLjBHKqGIjYXv7V4qgHNBuZ4qKIIDnzyM4dChA3x4+vBanTw+UIkgIIYRACqGMKeYlbPsAAvbq2uY20GE3FG6S4kOVK+fK7NnNyJvXjn37evLtty2wtpaOQCGEEALARKm4xRSyh5CQEBwdHQkODsbBwcHY6SQUE64rgu78qWtb2OmKoIL1krX7+fOPKF3aBSur+GJHKcWLF5E4O+dIi4yFEEKINJdWn9/SI5SRRIfBltbxRZClPXTcl6wiSKPRMnPmMapVW8bYsX8aPGZiYiJFkBBCCJEIKYQyiuhQ2PIe3Dusa1s6wId/QAHPN+56924wTZqsZtSoA8TGapk714djx+68cT8hhBAiu5PBIhlBVDBsfg8e+ujaVk66IihvtTfuumHDJQYN2smLF5EAmJjAqFF1qVGjQBomLIQQQmQNUggZW+QL2NwCHp3Wta1z6oqgPFVfu1tISBSffrqHVavO62Nubg6sWdOeBg3c0y5fIYQQIguRQsiYIp7D5ubw+IyubZ0LOh0A10qv3c3H5y49e27F3z9IH+vSpRyLF7eWsUBCCCFECkghZCwRz2BjU3h6TtfOkVtXBOWu8NrdDh0KoGnT1Wg0upv97O0tWbSoFT17VpQZooUQQogUksHSxvDyKWxoFF8E2eSBLofeWAQB1KnjhodHfgA8Pd04f34wvXpVkiJICCGEeAvSI5Tewh/Dxibw7JKubZsPOv0JuUona3cLCzPWru3A+vUX+eqrupibSy0rhBBCvC2ZUDE9hT2EjY3h+VVd264AdD4IziUS3TwoKIKhQ/cwYkQtfS+QECL9KaWIjY1Fo9EYOxUhsjQLCwvMzMwSfSytPr+lRyi9hN7XFUFB13RtezddEeRULNHNDx0KoFevrdy7F8KZMw84e3YQNjYW6ZiwEAIgOjqahw8f8vLlS2OnIkSWZ2JiQsGCBbGzs0u3c0ohlB5C7sLGRvDi3xXgHdyh85/gWCTBptHRGiZMOMisWceJ66t78iScS5eeUL26zA0kRHrSarXcunULMzMz8ufPj6WlpYzHEyKNKKV4+vQp9+7do0SJEkn2DKU2KYTSWsht3cDo4Fu6tmNRXRHkUDjBpn5+gXTvvoWzZx/qY40aubN6dXsKFsyA66IJkcVFR0ej1Wpxc3PDxsbG2OkIkeXlzp2bgIAAYmJipBDKEoJv6YqgkNu6tlNx3eUw+4IGmyml+PHHMwwfvo+IiFgALCxMmTatMSNHemJqKt9AhTAmU1O5KUGI9GCMHlcphNJK0A3dmKDQu7q2c0ldEWRnOOj56dNwBgzYgbe3nz5WqlQu1q3rSNWq+dIzYyGEECLbkUIoLTy/piuCwu7r2jnL6CZLtEtY2Ny9G8Lu3df17SFDqjFnTnMZGC2EEEKkA+nvTW3PrsKGhvFFkEv5f3uCEu/dqVo1H1OnNsLFxQZv76788ENrKYKEEMKI/Pz8yJs3L6GhocZOJUuJjo7G3d2dv//+29ipGJBCKDUFXtIVQeH/DnbOXVE3WaJtHv0mV68GEhNjOBfJF194cunSx7RpUyodkxVCZGV9+vTBxMQEExMTLCwsKFKkCP/73/+IjIxMsO3OnTtp0KAB9vb22NjYUL16dVauXJnocTdv3kzDhg1xdHTEzs6OihUr8vXXX/P8+fM0/onSz+jRoxk2bBj29vbGTiXNLFq0CHd3d6ytralZsyanT59+7fYrV67U/z3F/bO2tjbYJiwsjKFDh1KwYEFy5MhB2bJlWbJkif5xS0tLvvjiC7766qs0+ZnelhRCqeWpr25g9MvHurZrFV0RZJMbAK1WsWDBSSpXXsLUqUcMdjUzM8XV1Ta9MxZCZHEtW7bk4cOH+Pv7M2/ePJYuXcrEiRMNtvn+++9p27YtderU4dSpU1y4cIGuXbsyePBgvvjiC4Ntx44dS5cuXahevTp79uzh4sWLzJ07l/Pnz7NmzZp0+7mio6PT7Nh37txh586d9OnT552Ok5Y5vqv169czYsQIJk6cyNmzZ6lUqRItWrTgyZMnr93PwcGBhw8f6v/dvn3b4PERI0awd+9efvnlF65cucLnn3/O0KFD8fb21m/To0cPjh07xqVLl9LkZ3srKpsJDg5WgAoODk69gz4+p9TCXErNQfdvTTWlIp7rH37wIES1aLFGwSQFk5Sp6WR16tS91Du/ECJNREREqMuXL6uIiAhjp5JiXl5eqm3btgaxDh06qCpVqujbd+7cURYWFmrEiBEJ9v/uu+8UoE6ePKmUUurUqVMKUPPnz0/0fEFBQUnmcvfuXdW1a1fl7OysbGxslIeHh/64ieX52WefqQYNGujbDRo0UJ988on67LPPVK5cuVTDhg1Vt27dVOfOnQ32i46OVrly5VKrVq1SSiml0WjU9OnTlbu7u7K2tlYVK1ZUGzduTDJPpZSaPXu2qlatmkEsMDBQde3aVeXPn1/lyJFDlS9fXq1bt85gm8RyVEopX19f1bJlS2Vra6tcXV1Vz5491dOnT/X77dmzR9WpU0c5OjqqnDlzqtatW6sbN268Nsd3VaNGDfXJJ5/o2xqNRuXPn1/NmDEjyX1WrFihHB0dX3vccuXKqa+//togVrVqVTV27FiDWKNGjdS4ceMSPcbrXnNp8vmtlJLB0u/q8VnY1Awi/+0WzlsDOu4DaycAtm+/yoABOwgMjJ+V9tNPa1CxYp5EDiaEyBR+qQbhj9L/vLZ5oefbja+4ePEiJ06coHDh+DnMNm3aRExMTIKeH4BBgwYxZswYfv31V2rWrMnatWuxs7Pj448/TvT4Tk5OicbDwsJo0KABBQoUwNvbm7x583L27Fm0Wm2K8l+1ahVDhgzh+PHjANy4cYNOnToRFhamn4V43759vHz5kvbt2wMwY8YMfvnlF5YsWUKJEiU4cuQIPXv2JHfu3DRo0CDR8xw9epRq1aoZxCIjI/Hw8OCrr77CwcGBXbt20atXL4oVK0aNGjWSzPHFixc0btyYAQMGMG/ePCIiIvjqq6/o3Lkzf/75JwDh4eGMGDGCihUrEhYWxoQJE2jfvj3nzp1LctqG6dOnM3369Nc+X5cvX6ZQoUIJ4tHR0Zw5c4bRo0frY6ampjRt2hQfH5/XHjMsLIzChQuj1WqpWrUq06dPp1y5cvrHPT098fb2pl+/fuTPn59Dhw5x7do15s2bZ3CcGjVqcPTo0deeKz1JIfQuHv0Fm5pD1AtdO19t6LgHrBwJD49m5MjfWbr0jH7zvHntWLWqHc2bJ76shhAikwh/FH9DRAa2c+dO7OzsiI2NJSoqClNTUxYuXKh//Nq1azg6OpIvX8KbOSwtLSlatCjXrumWBbp+/TpFixbFwiJlN3OsW7eOp0+f8tdff5EzZ04AihcvnuKfpUSJEsyaNUvfLlasGLa2tmzdupVevXrpz/XBBx9gb29PVFQU06dPZ//+/dSuXRuAokWLcuzYMZYuXZpkIXT79u0EhVCBAgUMisVhw4axb98+NmzYYFAI/TfHqVOnUqVKFYOiZfny5bi5uXHt2jVKlixJx44dDc61fPlycufOzeXLlylfvnyiOQ4ePJjOnTu/9vnKnz/x9SkDAwPRaDTkyWP4ZTxPnjxcvXo1yeOVKlWK5cuXU7FiRYKDg5kzZw6enp5cunSJggV1c+N9//33fPTRRxQsWBBzc3NMTU1ZtmwZ9evXT5Dbfy+rGZMUQm/rwUnY3AKiQ3TtAnWhw26wtOfMmQd0776Fa9ee6Tdv27YUP/30AS4uMjutEJmebd5Mcd5GjRqxePFiwsPDmTdvHubm5gk+eJNLveX63OfOnaNKlSr6IuhteXh4GLTNzc3p3Lkza9eupVevXoSHh7N9+3Z+++03QNdj9PLlS5o1a2awX3R0NFWqVEnyPBEREQkGAWs0GqZPn86GDRu4f/8+0dHRREVFJZht/L85nj9/noMHDya6btbNmzcpWbIk169fZ8KECZw6dYrAwEB9T9mdO3eSLIRy5sz5zs9nStWuXVtfUIKu96dMmTIsXbqUKVOmALpC6OTJk3h7e1O4cGGOHDnCJ598Qv78+WnatKl+3xw5cmSotfukEHob94/Dlvcg+t9bKws2gPY7wdKOP/+8RYsWvxAbq/tjtrGxYP78FgwYUFXWKBIiq3jLy1PpzdbWVt/7snz5cipVqsTPP/9M//79AShZsiTBwcE8ePAgQQ9CdHQ0N2/epFGjRvptjx07RkxMTIp6hXLkyPHax01NTRMUWTExMYn+LP/Vo0cPGjRowJMnT/jjjz/IkSMHLVu2BHSXcQB27dpFgQKG6zRaWVklmY+LiwtBQUEGsdmzZ7NgwQLmz59PhQoVsLW15fPPP08wIPq/OYaFhdGmTRtmzpyZ4DxxvXBt2rShcOHCLFu2jPz586PVailfvvxrB1u/y6UxFxcXzMzMePz4sUH88ePH5M2b/ELbwsKCKlWqcOPGDUBXQI4ZM4atW7fSunVrACpWrMi5c+eYM2eOQSH0/PlzcufOnexzpTW5ayyl7h35tyfo3yKoUGPosAssdRV/nTpulC2r+wV7eOTjn38GMXCghxRBQgijMjU1ZcyYMYwbN46IiAgAOnbsiIWFBXPnzk2w/ZIlSwgPD6dbt24AdO/enbCwMH744YdEj//ixYtE43EfhkndXp87d24ePnxoEDt37lyyfiZPT0/c3NxYv349a9eupVOnTvoirWzZslhZWXHnzh2KFy9u8M/NzS3JY1apUoXLly8bxI4fP07btm3p2bMnlSpVMrhk+DpVq1bl0qVLuLu7J8jB1taWZ8+e4efnx7hx42jSpAllypRJUIQlZvDgwZw7d+61/5K6NGZpaYmHhwcHDhzQx7RaLQcOHDDo8XkTjUaDr6+vvqCLiYkhJiYmwbgmMzOzBOPBLl68+NpeuXSXqkOvM4F3GnV++0+l5tvE3x22sblS0S8TbHbx4mM1duwBFRUVmwoZCyGMJavdNRYTE6MKFCigZs+erY/NmzdPmZqaqjFjxqgrV66oGzduqLlz5yorKys1cuRIg/3/97//KTMzM/Xll1+qEydOqICAALV//3714YcfJnk3WVRUlCpZsqSqV6+eOnbsmLp586batGmTOnHihFJKqb179yoTExO1atUqde3aNTVhwgTl4OCQ4K6xzz77LNHjjx07VpUtW1aZm5uro0ePJngsV65cauXKlerGjRvqzJkz6rvvvlMrV65M8nnz9vZWrq6uKjY2/v17+PDhys3NTR0/flxdvnxZDRgwQDk4OBg8v4nleP/+fZU7d2714YcfqtOnT6sbN26ovXv3qj59+qjY2Fil0WhUrly5VM+ePdX169fVgQMHVPXq1RWgtm7dmmSO7+q3335TVlZWauXKlery5cvqo48+Uk5OTurRo0f6bXr16qVGjRqlb0+ePFnt27dP3bx5U505c0Z17dpVWVtbq0uXLhk8B+XKlVMHDx5U/v7+asWKFcra2lr98MMPBucvXLiwWr16daK5GeOuMSmEkivgD6Xm54gvgja/p4KfvVADBmxXFy8+TptkhRBGldUKIaWUmjFjhsqdO7cKCwvTx7Zv367q1aunbG1tlbW1tfLw8FDLly9P9Ljr169X9evXV/b29srW1lZVrFhRff3116+9fT4gIEB17NhROTg4KBsbG1WtWjV16tQp/eMTJkxQefLkUY6Ojmr48OFq6NChyS6ELl++rABVuHBhpdVqDR7TarVq/vz5qlSpUsrCwkLlzp1btWjRQh0+fDjJXGNiYlT+/PnV3r179bFnz56ptm3bKjs7O+Xq6qrGjRunevfu/cZCSCmlrl27ptq3b6+cnJxUjhw5VOnSpdXnn3+uz/WPP/5QZcqUUVZWVqpixYrq0KFDaV4IKaXU999/rwoVKqQsLS1VjRo19NMZvPrzeHl56duff/65fvs8efKoVq1aqbNnzxrs8/DhQ9WnTx+VP39+ZW1trUqVKqXmzp1r8Hs5ceKEcnJyUi9fJuxEUMo4hZCJUm85Ai6TCgkJwdHRkeDgYBwcHJK3U8A+2N4OYv+dkbXo+/i4LKBnn534+wdRsWIeTp8egJWVDLkSIiuJjIzk1q1bFClSJMEAWpF1LVq0CG9vb/bt22fsVLKcLl26UKlSJcaMGZPo4697zb3V53cyyBihN/HfDds+0BdBse5tmXzuc+o1+gV/f9213Fu3grhw4fHrjiKEECKTGDRoEPXr15e1xlJZdHQ0FSpUYPjw4cZOxYB0YbzOzR3g3RG0ujsY/O270nNOE3xOHtNv4unpxi+/tKdIEWdjZSmEECIVmZubM3bsWGOnkeVYWloybtw4Y6eRgBRCSbm+FXZ2Bm0sSsGaBx8x9Cd3QkN1k6iZmZkwYUIDxoyph7m5dKwJIYQQmZEUQonx2wi7uoHSEPTSmiF/fMz6ow6Abl6HokWdWbu2A7VqFTRunkIIIYR4J1II/dfV32B3T1AaAK7Y9GLjcUdAN6a8T5/KfPddS+ztk56QSwiRtWSze0qEMBpjvNbkms6rLv8Cu3voiyDK98Nz+GLGjq2Hk5M1GzZ8yIoVbaUIEiKbiJucLyMtByBEVhY3o7aZmVm6nVNun49zaRXs7cutZ44Ucg7GrPJAaLoYTEyJidHw5Ek4BQqk3u16QojM4eHDh7x48QJXV1dsbGxklngh0ohWq+XBgwdYWFhQqFChBK+1tLp9Xi6NAfj+jNo3kB9PVmW4d0sm9o7iqy9mgomuw8zCwkyKICGyqbj1l548eWLkTITI+kxNTRMtgtKS9AidX8rTbSMYsPEDvC+VBsDc3JTTpwdQpUo+I2crhMgoNBpNoouBCiFSj6WlZYL1yuJk6R6hRYsWMXv2bB49ekSlSpX4/vvvqVGjRpLbb9y4kfHjxxMQEECJEiWYOXMmrVq1SvmJ/1nEvsXz6PPbEB6F2uvDAwZUoVQpl7f5UYQQWZSZmVm6jlsQQqQPow+WXr9+PSNGjGDixImcPXuWSpUq0aJFiyS7oU+cOEG3bt3o378///zzD+3ataNdu3ZcvHgxReeNPLWIzz/bSctlvfRFkIuLDd7eXVm8+H1sbCze+WcTQgghRMZm9EtjNWvWpHr16ixcuBDQDZZyc3Nj2LBhjBo1KsH2Xbp0ITw8/P/t3X1QVOUXB/Avi+6LuEBGyK6uL6CgmUqgGKhDGgWlhmVCySgqagmkyaSRmoCmUCmljmVYghmJ2vg2gZCQTICWiqCOIIZA2ASYqeALr7vn90fD/bmyqEu4S7vnM7N/3Oc+z3PP3SPumXuf3YsffvhBaHvmmWfg6uqKrVu3PvB4rZfWhtqHoPiKSmj383NCYuJUODj07ISzYowxxlhnMslnjTU1NSE/Px8+Pj5Cm0gkgo+PD44fP65zzPHjx7X6A4Cvr2+7/dtTfOUJAIBETNi00Q9paUFcBDHGGGNmxqhrhK5evQq1Wo3evXtrtffu3RsXLlzQOaa6ulpn/+rqap39Gxsb0djYKGzX1ta27sGTA4Gvv5uHJ598gh+uxxhjjHVhdXV1ADr/Rxe7xGLpRyk2NhYxMTE69nyKonLA0zPO4DExxhhjrGP+/vtv2NjYdNp8Ri2E7OzsYGlpiZqaGq32mpoa4bc77uXg4KBX//fffx8RERHC9o0bN9C/f39UVlZ26hvJ9FdXVweVSoXLly936v1e1jGcj66Dc9F1cC66jtraWvTr1w+9evXq1HmNWgiJxWK4u7sjKysLU6dOBfDPYumsrCyEh4frHOPp6YmsrCy88847QtuRI0fg6emps79EIoFE0vaRGDY2NvyPuouwtrbmXHQhnI+ug3PRdXAuuo72fmeoo4x+aywiIgLBwcEYNWoUPDw88Nlnn+H27duYM2cOAGDWrFno06cPYmNjAQCLFy+Gt7c3NmzYgEmTJiElJQWnTp1CQkKCMU+DMcYYY/9BRi+EAgMD8ddff2HVqlWorq6Gq6sr0tPThQXRlZWVWtWfl5cXvvvuO6xcuRLLly/H4MGDceDAATz11FPGOgXGGGOM/UcZvRACgPDw8HZvhWVnZ7dpmz59OqZPn96hY0kkEkRFRem8XcYMi3PRtXA+ug7ORdfBueg6HlUujP6DiowxxhhjxmL0R2wwxhhjjBkLF0KMMcYYM1tcCDHGGGPMbHEhxBhjjDGzZZKF0JYtWzBgwABIpVKMGTMGJ06cuG//vXv3YsiQIZBKpRg+fDjS0tIMFKnp0ycX27Ztw/jx4/HYY4/hscceg4+PzwNzx/Sj799Gq5SUFFhYWAg/fMr+PX1zcePGDYSFhUGhUEAikcDZ2Zn/r+ok+ubis88+g4uLC2QyGVQqFZYsWYKGhgYDRWu6fv75Z0yZMgVKpRIWFhY4cODAA8dkZ2fDzc0NEokEgwYNQlJSkv4HJhOTkpJCYrGYtm/fTufPn6f58+eTra0t1dTU6Oyfl5dHlpaW9PHHH1NRURGtXLmSunfvTufOnTNw5KZH31zMmDGDtmzZQgUFBVRcXEyzZ88mGxsb+uOPPwwcuWnSNx+tysvLqU+fPjR+/Hjy9/c3TLAmTt9cNDY20qhRo+ill16i3NxcKi8vp+zsbCosLDRw5KZH31wkJyeTRCKh5ORkKi8vp4yMDFIoFLRkyRIDR2560tLSaMWKFbRv3z4CQPv3779v/7KyMurRowdFRERQUVERbd68mSwtLSk9PV2v45pcIeTh4UFhYWHCtlqtJqVSSbGxsTr7BwQE0KRJk7TaxowZQ2+++eYjjdMc6JuLe7W0tJBcLqcdO3Y8qhDNSkfy0dLSQl5eXvTVV19RcHAwF0KdRN9cfPHFF+To6EhNTU2GCtFs6JuLsLAwmjhxolZbREQEjR079pHGaW4ephBatmwZDRs2TKstMDCQfH199TqWSd0aa2pqQn5+Pnx8fIQ2kUgEHx8fHD9+XOeY48ePa/UHAF9f33b7s4fTkVzc686dO2hubu70B+yZo47mY/Xq1bC3t0dISIghwjQLHcnFoUOH4OnpibCwMPTu3RtPPfUU1q1bB7VabaiwTVJHcuHl5YX8/Hzh9llZWRnS0tLw0ksvGSRm9n+d9fndJX5ZurNcvXoVarVaeDxHq969e+PChQs6x1RXV+vsX11d/cjiNAcdycW93nvvPSiVyjb/0Jn+OpKP3NxcfP311ygsLDRAhOajI7koKyvDTz/9hKCgIKSlpaG0tBShoaFobm5GVFSUIcI2SR3JxYwZM3D16lWMGzcORISWlha89dZbWL58uSFCZndp7/O7rq4O9fX1kMlkDzWPSV0RYqYjLi4OKSkp2L9/P6RSqbHDMTs3b97EzJkzsW3bNtjZ2Rk7HLOn0Whgb2+PhIQEuLu7IzAwECtWrMDWrVuNHZrZyc7Oxrp16/D555/j9OnT2LdvH1JTU7FmzRpjh8Y6yKSuCNnZ2cHS0hI1NTVa7TU1NXBwcNA5xsHBQa/+7OF0JBet1q9fj7i4OGRmZmLEiBGPMkyzoW8+Ll26hIqKCkyZMkVo02g0AIBu3bqhpKQETk5OjzZoE9WRvw2FQoHu3bvD0tJSaBs6dCiqq6vR1NQEsVj8SGM2VR3JxQcffICZM2di3rx5AIDhw4fj9u3bWLBgAVasWKH1kHD2aLX3+W1tbf3QV4MAE7siJBaL4e7ujqysLKFNo9EgKysLnp6eOsd4enpq9QeAI0eOtNufPZyO5AIAPv74Y6xZswbp6ekYNWqUIUI1C/rmY8iQITh37hwKCwuF18svv4wJEyagsLAQKpXKkOGblI78bYwdOxalpaVCMQoAFy9ehEKh4CLoX+hILu7cudOm2GktUIkf3WlQnfb5rd867q4vJSWFJBIJJSUlUVFRES1YsIBsbW2purqaiIhmzpxJkZGRQv+8vDzq1q0brV+/noqLiykqKoq/Pt9J9M1FXFwcicVi+v7776mqqkp43bx501inYFL0zce9+FtjnUffXFRWVpJcLqfw8HAqKSmhH374gezt7enDDz801imYDH1zERUVRXK5nHbt2kVlZWX0448/kpOTEwUEBBjrFEzGzZs3qaCggAoKCggAxcfHU0FBAf3+++9ERBQZGUkzZ84U+rd+fX7p0qVUXFxMW7Zs4a/Pt9q8eTP169ePxGIxeXh40C+//CLs8/b2puDgYK3+e/bsIWdnZxKLxTRs2DBKTU01cMSmS59c9O/fnwC0eUVFRRk+cBOl79/G3bgQ6lz65uLYsWM0ZswYkkgk5OjoSGvXrqWWlhYDR22a9MlFc3MzRUdHk5OTE0mlUlKpVBQaGkrXr183fOAm5ujRozo/A1rf/+DgYPL29m4zxtXVlcRiMTk6OlJiYqLex7Ug4mt5jDHGGDNPJrVGiDHGGGNMH1wIMcYYY8xscSHEGGOMMbPFhRBjjDHGzBYXQowxxhgzW1wIMcYYY8xscSHEGGOMMbPFhRBjTEtSUhJsbW2NHUaHWVhY4MCBA/ftM3v2bEydOtUg8TDGujYuhBgzQbNnz4aFhUWbV2lpqbFDQ1JSkhCPSCRC3759MWfOHFy5cqVT5q+qqsKLL74IAKioqICFhQUKCwu1+mzcuBFJSUmdcrz2REdHC+dpaWkJlUqFBQsW4Nq1a3rNw0UbY4+WST19njH2f35+fkhMTNRqe+KJJ4wUjTZra2uUlJRAo9HgzJkzmDNnDv78809kZGT867nbe2r43WxsbP71cR7GsGHDkJmZCbVajeLiYsydOxe1tbXYvXu3QY7PGHswviLEmImSSCRwcHDQellaWiI+Ph7Dhw+HlZUVVCoVQkNDcevWrXbnOXPmDCZMmAC5XA5ra2u4u7vj1KlTwv7c3FyMHz8eMpkMKpUKixYtwu3bt+8bm4WFBRwcHKBUKvHiiy9i0aJFyMzMRH19PTQaDVavXo2+fftCIpHA1dUV6enpwtimpiaEh4dDoVBAKpWif//+iI2N1Zq79dbYwIEDAQBPP/00LCws8OyzzwLQvsqSkJAApVKp9WR3APD398fcuXOF7YMHD8LNzQ1SqRSOjo6IiYlBS0vLfc+zW7ducHBwQJ8+feDj44Pp06fjyJEjwn61Wo2QkBAMHDgQMpkMLi4u2Lhxo7A/OjoaO3bswMGDB4WrS9nZ2QCAy5cvIyAgALa2tujVqxf8/f1RUVFx33gYY21xIcSYmRGJRNi0aRPOnz+PHTt24KeffsKyZcva7R8UFIS+ffvi5MmTyM/PR2RkJLp37w4AuHTpEvz8/DBt2jScPXsWu3fvRm5uLsLDw/WKSSaTQaPRoKWlBRs3bsSGDRuwfv16nD17Fr6+vnj55Zfx22+/AQA2bdqEQ4cOYc+ePSgpKUFycjIGDBigc94TJ04AADIzM1FVVYV9+/a16TN9+nT8/fffOHr0qNB27do1pKenIygoCACQk5ODWbNmYfHixSgqKsKXX36JpKQkrF279qHPsaKiAhkZGRCLxUKbRqNB3759sXfvXhQVFWHVqlVYvnw59uzZAwB49913ERAQAD8/P1RVVaGqqgpeXl5obm6Gr68v5HI5cnJykJeXh549e8LPzw9NTU0PHRNjDDDJp88zZu6Cg4PJ0tKSrKyshNdrr72ms+/evXvp8ccfF7YTExPJxsZG2JbL5ZSUlKRzbEhICC1YsECrLScnh0QiEdXX1+scc+/8Fy9eJGdnZxo1ahQRESmVSlq7dq3WmNGjR1NoaCgREb399ts0ceJE0mg0OucHQPv37yciovLycgJABQUFWn2Cg4PJ399f2Pb396e5c+cK219++SUplUpSq9VERPTcc8/RunXrtObYuXMnKRQKnTEQEUVFRZFIJCIrKyuSSqXCk7Tj4+PbHUNEFBYWRtOmTWs31tZju7i4aL0HjY2NJJPJKCMj477zM8a08RohxkzUhAkT8MUXXwjbVlZWAP65OhIbG4sLFy6grq4OLS0taGhowJ07d9CjR48280RERGDevHnYuXOncHvHyckJwD+3zc6ePYvk5GShPxFBo9GgvLwcQ4cO1RlbbW0tevbsCY1Gg4aGBowbNw5fffUV6urq8Oeff2Ls2LFa/ceOHYszZ84A+Oe21vPPPw8XFxf4+flh8uTJeOGFF/7VexUUFIT58+fj888/h0QiQXJyMl5//XWIRCLhPPPy8rSuAKnV6vu+bwDg4uKCQ4cOoaGhAd9++y0KCwvx9ttva/XZsmULtm/fjsrKStTX16OpqQmurq73jffMmTMoLS2FXC7Xam9oaMClS5c68A4wZr64EGLMRFlZWWHQoEFabRUVFZg8eTIWLlyItWvXolevXsjNzUVISAiampp0fqBHR0djxowZSE1NxeHDhxEVFYWUlBS88soruHXrFt58800sWrSozbh+/fq1G5tcLsfp06chEomgUCggk8kAAHV1dQ88Lzc3N5SXl+Pw4cPIzMxEQEAAfHx88P333z9wbHumTJkCIkJqaipGjx6NnJwcfPrpp8L+W7duISYmBq+++mqbsVKptN15xWKxkIO4uDhMmjQJMTExWLNmDQAgJSUF7777LjZs2ABPT0/I5XJ88skn+PXXX+8b761bt+Du7q5VgLbqKgviGfuv4EKIMTOSn58PjUaDDRs2CFc7Wtej3I+zszOcnZ2xZMkSvPHGG0hMTMQrr7wCNzc3FBUVtSm4HkQkEukcY21tDaVSiby8PHh7ewvteXl58PDw0OoXGBiIwMBAvPbaa/Dz88O1a9fQq1cvrfla1+Oo1er7xiOVSvHqq68iOTkZpaWlcHFxgZubm7Dfzc0NJSUlep/nvVauXImJEydi4cKFwnl6eXkhNDRU6HPvFR2xWNwmfjc3N+zevRv29vawtrb+VzExZu54sTRjZmTQoEFobm7G5s2bUVZWhp07d2Lr1q3t9q+vr0d4eDiys7Px+++/Iy8vDydPnhRueb333ns4duwYwsPDUVhYiN9++w0HDx7Ue7H03ZYuXYqPPvoIu3fvRklJCSIjI1FYWIjFixcDAOLj47Fr1y5cuHABFy9exN69e+Hg4KDzRyDt7e0hk8mQnp6Ompoa1NbWtnvcoKAgpKamYvv27cIi6VarVq3CN998g5iYGJw/fx7FxcVISUnBypUr9To3T09PjBgxAuvWrQMADB48GKdOnUJGRgYuXryIDz74ACdPntQaM2DAAJw9exYlJSW4evUqmpubERQUBDs7O/j7+yMnJwfl5eXIzs7GokWL8Mcff+gVE2Nmz9iLlBhjnU/XAttW8fHxpFAoSCaTka+vL33zzTcEgK5fv05E2ouZGxsb6fXXXyeVSkVisZiUSiWFh4drLYQ+ceIEPf/889SzZ0+ysrKiESNGtFnsfLd7F0vfS61WU3R0NPXp04e6d+9OI0eOpMOHDwv7ExISyNXVlaysrMja2pqee+45On36tLAfdy2WJiLatm0bqVQqEolE5O3t3e77o1arSaFQEAC6dOlSm7jS09PJy8uLZDIZWVtbk4eHByUkJLR7HlFRUTRy5Mg27bt27SKJREKVlZXU0NBAs2fPJhsbG7K1taWFCxdSZGSk1rgrV64I7y8AOnr0KBERVVVV0axZs8jOzo4kEgk5OjrS/Pnzqba2tt2YGGNtWRARGbcUY4wxxhgzDr41xhhjjDGzxYUQY4wxxswWF0KMMcYYM1tcCDHGGGPMbHEhxBhjjDGzxYUQY4wxxswWF0KMMcYYM1tcCDHGGGPMbHEhxBhjjDGzxYUQY4wxxswWF0KMMcYYM1tcCDHGGGPMbP0PPr3x0GzZTcAAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Classification Report for K-Nearest Neighbors:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.83      0.60      0.70      7040\n",
            "           1       0.28      0.55      0.37      1960\n",
            "\n",
            "    accuracy                           0.59      9000\n",
            "   macro avg       0.55      0.58      0.53      9000\n",
            "weighted avg       0.71      0.59      0.63      9000\n",
            "\n",
            "--------------------------------------\n",
            "Training Random Forest...\n",
            "\n",
            "Random Forest Model Metrics:\n",
            "Accuracy: 0.7834444444444445\n",
            "Precision: 0.5029270888770623\n",
            "Recall: 0.48214285714285715\n",
            "F1-Score: 0.4923157072154207\n",
            "Kappa: 0.354762055403431\n",
            "Confusion Matrix:\n",
            "[[6106  934]\n",
            " [1015  945]]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Classification Report for Random Forest:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.86      0.87      0.86      7040\n",
            "           1       0.50      0.48      0.49      1960\n",
            "\n",
            "    accuracy                           0.78      9000\n",
            "   macro avg       0.68      0.67      0.68      9000\n",
            "weighted avg       0.78      0.78      0.78      9000\n",
            "\n",
            "--------------------------------------\n",
            "Training Logistic Regression...\n",
            "\n",
            "Logistic Regression Model Metrics:\n",
            "Accuracy: 0.564\n",
            "Precision: 0.29541666666666666\n",
            "Recall: 0.7234693877551021\n",
            "F1-Score: 0.41952662721893497\n",
            "Kappa: 0.15962307252998276\n",
            "Confusion Matrix:\n",
            "[[3658 3382]\n",
            " [ 542 1418]]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Classification Report for Logistic Regression:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.87      0.52      0.65      7040\n",
            "           1       0.30      0.72      0.42      1960\n",
            "\n",
            "    accuracy                           0.56      9000\n",
            "   macro avg       0.58      0.62      0.54      9000\n",
            "weighted avg       0.75      0.56      0.60      9000\n",
            "\n",
            "--------------------------------------\n"
          ]
        }
      ]
    }
  ]
}