{
  "cells": [
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "7vl37jKoH5pm"
      },
      "id": "7vl37jKoH5pm",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Load the dataset\n",
        "file_path = \"/content/Electric_Production.csv\"  # Update with the correct path\n",
        "df = pd.read_csv(file_path)"
      ],
      "metadata": {
        "id": "1bcuM3UXH5mz"
      },
      "id": "1bcuM3UXH5mz",
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Convert DATE to datetime format\n",
        "df[\"DATE\"] = pd.to_datetime(df[\"DATE\"], format=\"%d-%m-%Y\")\n",
        "df.set_index(\"DATE\", inplace=True)"
      ],
      "metadata": {
        "id": "Hp43TIJiH5iR"
      },
      "id": "Hp43TIJiH5iR",
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Extract Year and Month for seasonal analysis\n",
        "df[\"Year\"] = df.index.year\n",
        "df[\"Month\"] = df.index.month"
      ],
      "metadata": {
        "id": "Dj8ox25zH5gg"
      },
      "id": "Dj8ox25zH5gg",
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot the electricity production trend\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(df.index, df[\"Value\"], label=\"Electricity Production\", color=\"blue\")\n",
        "plt.xlabel(\"Year\")\n",
        "plt.ylabel(\"Electricity Production\")\n",
        "plt.title(\"Electricity Production Over Time\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "78elE-xhH5bw",
        "outputId": "dd5c6458-72bf-4e51-c963-d7c4de695114"
      },
      "id": "78elE-xhH5bw",
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 1️⃣ Seasonality Analysis – Identify Yearly/Monthly Patterns"
      ],
      "metadata": {
        "id": "sQEmwy3IJUgq"
      },
      "id": "sQEmwy3IJUgq"
    },
    {
      "cell_type": "code",
      "source": [
        "# Extract Year and Month for seasonal analysis\n",
        "df[\"Year\"] = df.index.year\n",
        "df[\"Month\"] = df.index.month\n",
        "\n",
        "# Plot monthly electricity production trends\n",
        "plt.figure(figsize=(12, 6))\n",
        "sns.boxplot(x=\"Month\", y=\"Value\", data=df, palette=\"coolwarm\")\n",
        "plt.xlabel(\"Month\")\n",
        "plt.ylabel(\"Electricity Production\")\n",
        "plt.title(\"Seasonal Variation in Electricity Production\")\n",
        "plt.grid(True)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 653
        },
        "id": "rF2xNt5dH5ZM",
        "outputId": "caf7d0e9-9143-416b-b4aa-c694c501abee"
      },
      "id": "rF2xNt5dH5ZM",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-6-bc799acd45bd>:7: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.boxplot(x=\"Month\", y=\"Value\", data=df, palette=\"coolwarm\")\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 2️⃣ Decomposition – Trend, Seasonality & Residuals"
      ],
      "metadata": {
        "id": "18TGHSnRJYB6"
      },
      "id": "18TGHSnRJYB6"
    },
    {
      "cell_type": "code",
      "source": [
        "from statsmodels.tsa.seasonal import seasonal_decompose\n",
        "\n",
        "# Perform seasonal decomposition (Multiplicative model)\n",
        "decomposed = seasonal_decompose(df[\"Value\"], model=\"multiplicative\", period=12)\n",
        "\n",
        "# Plot decomposition\n",
        "plt.figure(figsize=(12, 8))\n",
        "\n",
        "plt.subplot(411)\n",
        "plt.plot(df[\"Value\"], label=\"Original\", color=\"blue\")\n",
        "plt.legend(loc=\"best\")\n",
        "\n",
        "plt.subplot(412)\n",
        "plt.plot(decomposed.trend, label=\"Trend\", color=\"red\")\n",
        "plt.legend(loc=\"best\")\n",
        "\n",
        "plt.subplot(413)\n",
        "plt.plot(decomposed.seasonal, label=\"Seasonality\", color=\"green\")\n",
        "plt.legend(loc=\"best\")\n",
        "\n",
        "plt.subplot(414)\n",
        "plt.plot(decomposed.resid, label=\"Residuals\", color=\"purple\")\n",
        "plt.legend(loc=\"best\")\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 807
        },
        "id": "JYS5DeJDH5XF",
        "outputId": "da190ebb-f590-4ca2-e4bf-8c48131f67e2"
      },
      "id": "JYS5DeJDH5XF",
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 3️⃣ Forecasting Model – ARIMA for Electricity Prediction"
      ],
      "metadata": {
        "id": "QCCVLQYFJeyq"
      },
      "id": "QCCVLQYFJeyq"
    },
    {
      "cell_type": "code",
      "source": [
        "from statsmodels.tsa.arima.model import ARIMA\n",
        "from sklearn.metrics import mean_absolute_error\n",
        "\n",
        "# Split data into train and test sets (80% train, 20% test)\n",
        "train_size = int(len(df) * 0.8)\n",
        "train, test = df[\"Value\"][:train_size], df[\"Value\"][train_size:]\n",
        "\n",
        "# Fit ARIMA model (AutoRegressive Integrated Moving Average)\n",
        "model = ARIMA(train, order=(5,1,0))  # (p,d,q) parameters can be tuned\n",
        "fitted_model = model.fit()\n",
        "\n",
        "# Forecast for test set\n",
        "forecast = fitted_model.forecast(steps=len(test))\n",
        "\n",
        "# Evaluate performance\n",
        "mae = mean_absolute_error(test, forecast)\n",
        "print(f\"Mean Absolute Error: {mae:.2f}\")\n",
        "\n",
        "# Plot predictions\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(train, label=\"Train Data\", color=\"blue\")\n",
        "plt.plot(test, label=\"Actual Test Data\", color=\"green\")\n",
        "plt.plot(test.index, forecast, label=\"Predicted Data\", color=\"red\", linestyle=\"dashed\")\n",
        "plt.xlabel(\"Year\")\n",
        "plt.ylabel(\"Electricity Production\")\n",
        "plt.title(\"Electricity Production Forecasting using ARIMA\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 780
        },
        "id": "f1sXyGrkH5Uz",
        "outputId": "bdffa8af-1ab7-4c8c-a92e-43ff33914930"
      },
      "id": "f1sXyGrkH5Uz",
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.11/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.\n",
            "  self._init_dates(dates, freq)\n",
            "/usr/local/lib/python3.11/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.\n",
            "  self._init_dates(dates, freq)\n",
            "/usr/local/lib/python3.11/dist-packages/statsmodels/tsa/base/tsa_model.py:473: ValueWarning: A date index has been provided, but it has no associated frequency information and so will be ignored when e.g. forecasting.\n",
            "  self._init_dates(dates, freq)\n",
            "/usr/local/lib/python3.11/dist-packages/statsmodels/tsa/base/tsa_model.py:837: ValueWarning: No supported index is available. Prediction results will be given with an integer index beginning at `start`.\n",
            "  return get_prediction_index(\n",
            "/usr/local/lib/python3.11/dist-packages/statsmodels/tsa/base/tsa_model.py:837: FutureWarning: No supported index is available. In the next version, calling this method in a model without a supported index will result in an exception.\n",
            "  return get_prediction_index(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mean Absolute Error: 5.68\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Anomaly Detection in Electricity Production (Find Unexpected Spikes or Drops)"
      ],
      "metadata": {
        "id": "xdx3wS74J19D"
      },
      "id": "xdx3wS74J19D"
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.ensemble import IsolationForest\n",
        "import numpy as np\n",
        "\n",
        "# Prepare the dataset\n",
        "df[\"Timestamp\"] = df.index.astype(np.int64) // 10**9  # Convert datetime to numerical format\n",
        "X = df[[\"Timestamp\", \"Value\"]]\n",
        "\n",
        "# Fit Isolation Forest\n",
        "model = IsolationForest(contamination=0.02, random_state=42)\n",
        "df[\"Anomaly\"] = model.fit_predict(X)\n",
        "\n",
        "# Visualize anomalies\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(df.index, df[\"Value\"], label=\"Electricity Production\", color=\"blue\")\n",
        "\n",
        "# Mark anomalies in red\n",
        "anomalies = df[df[\"Anomaly\"] == -1]\n",
        "plt.scatter(anomalies.index, anomalies[\"Value\"], color=\"red\", label=\"Anomalies\", s=50)\n",
        "\n",
        "plt.xlabel(\"Year\")\n",
        "plt.ylabel(\"Electricity Production\")\n",
        "plt.title(\"Anomaly Detection in Electricity Production\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "kPPDysc9H5ST",
        "outputId": "0f9086c4-cce7-4409-b5ee-efc2cc20f5bc"
      },
      "id": "kPPDysc9H5ST",
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "_ddVLzSOMKPz"
      },
      "id": "_ddVLzSOMKPz",
      "execution_count": null,
      "outputs": []
    },
    {
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.ensemble import IsolationForest # import IsolationForest\n",
        "import numpy as np\n",
        "\n",
        "# ✅ 1. **Anomaly Count & Percentage**\n",
        "total_anomalies = (df[\"Anomaly\"] == -1).sum()\n",
        "total_points = len(df)\n",
        "anomaly_percentage = (total_anomalies / total_points) * 100\n",
        "\n",
        "print(f\"🔹 Total Data Points: {total_points}\")\n",
        "print(f\"🔴 Total Anomalies Detected: {total_anomalies}\")\n",
        "print(f\"⚠️ Anomaly Percentage: {anomaly_percentage:.2f}%\")\n",
        "\n",
        "# ✅ 2. **Box Plot of Electricity Production (to see anomaly outliers)**\n",
        "plt.figure(figsize=(8, 5))\n",
        "sns.boxplot(y=df[\"Value\"])\n",
        "plt.title(\"Box Plot of Electricity Production\")\n",
        "plt.ylabel(\"Electricity Production\")\n",
        "plt.grid(True)\n",
        "plt.show()\n",
        "\n",
        "# ✅ 3. **Histogram of Anomaly Scores**\n",
        "plt.figure(figsize=(8, 5))\n",
        "# Prepare the dataset and Fit Isolation Forest, if it hasn't already been done\n",
        "# This is the same code from your Isolation Forest section\n",
        "df[\"Timestamp\"] = df.index.astype(np.int64) // 10**9  # Convert datetime to numerical format\n",
        "X_anomaly = df[[\"Timestamp\", \"Value\"]] # Rename X to X_anomaly to avoid confusion\n",
        "\n",
        "isolation_forest_model = IsolationForest(contamination=0.02, random_state=42) # Create IsolationForest object\n",
        "df[\"Anomaly\"] = isolation_forest_model.fit_predict(X_anomaly) # Fit to the data\n",
        "\n",
        "# Now you can use isolation_forest_model.decision_function\n",
        "sns.histplot(isolation_forest_model.decision_function(X_anomaly), bins=30, kde=True, color=\"purple\")\n",
        "plt.axvline(0, color=\"red\", linestyle=\"dashed\")  # Threshold for anomaly detection\n",
        "plt.title(\"Histogram of Anomaly Scores\")\n",
        "plt.xlabel(\"Anomaly Score\")\n",
        "plt.ylabel(\"Frequency\")\n",
        "plt.grid(True)\n",
        "plt.show()"
      ],
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 972
        },
        "id": "JsNAPnXMMNuU",
        "outputId": "7d42f177-c2d4-444e-987b-2d87cd824573"
      },
      "id": "JsNAPnXMMNuU",
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "🔹 Total Data Points: 395\n",
            "🔴 Total Anomalies Detected: 8\n",
            "⚠️ Anomaly Percentage: 2.03%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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HHtORI0cKzd5Rnnr06KFvv/1WW7dutbdduHBBKSkpio6OVqNGjez9Tp06pY8++sjeLzs7u9ghI3Xr1tW2bdt0+fJle9tnn32m//3vf4X6ufp1K/jdnzdvXqH2gplMKvp3GKjMGJYAmMiXX35pPyt1+vRpLVu2TAcPHtSECRMUGBgoSerdu7e6dOmip59+WkePHlWzZs20du1a/etf/9LYsWPtU18999xz2rt3rzZs2KCqVauqadOmmjx5sp555hkNHDiwUNB0pZdeekndu3dX+/btNXz4cPtUYEFBQfY5QCWpZcuWkqSnn35agwcPlpeXl3r37l3seFwvLy/NnDlTDz30kDp16qT777/fPhVYdHR0mQP775/33+vQoYPq1KlT7DYvvviiNm3apLZt22rEiBFq1KiRzp07p927d2v9+vX2s6cJCQl66623lJycrG+//VZ33HGHLly4oPXr12v06NHq27ev/Pz81KhRI33wwQdq0KCBQkJCdNttt+m2225z6ji6dOmiv/zlL1qwYIEOHjyou+++W/n5+fr666/VpUsXjRkzptjtmjdvripVqmjmzJnKzMyUj4+P7rzzTvvZ54K5cpcvX67g4OAKC2ITJkzQe++9p+7duyspKUkhISFaunSpUlNTtWLFCvtQjREjRuiVV15RQkKCdu3apYiICL399tvFTpn28MMP66OPPtLdd9+tQYMG6fDhw3rnnXeKTBnn6tetWbNmSkxMVEpKijIyMtSpUyd9++23Wrp0qfr166cuXbqUz5MIXI/cNk8DAJcpbkoqX19fo3nz5sZrr71WaBonw7gyHdK4ceOMyMhIw8vLy6hfv77x0ksv2fvt2rXL8PT0NB599NFC2+Xm5hqtW7c2IiMjjd9++63EegqmAlu+fPlV6y5uKjDDMIz169cbt99+u+Hn52cEBgYavXv3Nvbt21dk++nTpxs333yz4eHh4dC0YB988IHRokULw8fHxwgJCTGGDBlinDhxolAfV00F9sfjUjFTPqWnpxuPPPKIERUVZXh5eRnh4eFG165djZSUlEL9srOzjaefftqIiYmx9xs4cKBx+PBhe59vvvnGaNmypeHt7V3osQqm0yrOH6cCM4wrr/FLL71kNGzY0PD29jZq1qxpdO/e3di1a5e9T3HTYb3++utGnTp1jCpVqhQ7LdiHH35oSDJGjhxZ8hNaTH0l1f57tWvXNnr27FnsusOHDxsDBw40goODDV9fX6NNmzbGZ599VqTfsWPHjD59+hj+/v5GjRo1jMcee8xYvXp1sccye/Zs4+abbzZ8fHyM22+/3di5c2eRqcAMo2yv2x+nAjMMw7DZbMbUqVPt+4uKijImTpxoXLp0yaHno7gaATOyGAajywEA5etf//qX+vXrp82bNxeaogoAXI1wCwAod7169dL+/ft16NAhl10ABwDFYcwtAKDcvP/++/r+++/1+eefa/78+QRbAOWOM7cAgHJjsVh000036b777tOiRYtcdlMDACgJ7zIAgHLD+RMAFY15bgEAAGAahFsAAACYBsMSdOU+76dOnVLVqlW52AEAAKASMgxD58+fV2RkpP0mLMUh3Eo6deqUoqKi3F0GAAAAruF///ufbrnllhLXE24lVa1aVdKVJ6vgFqUAcD2z2Wxau3at4uPj5eXl5e5yAKDMrFaroqKi7LmtJIRbyT4UITAwkHALwBRsNpv8/f0VGBhIuAVgKtcaQsoFZQAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDTcGm43b96s3r17KzIyUhaLRatWrSq0fsqUKWrYsKECAgJUrVo1xcXFafv27YX6nDt3TkOGDFFgYKCCg4M1fPhwZWVlVeBRAAAAoLJwa7i9cOGCmjVrpoULFxa7vkGDBnrllVf0ww8/aMuWLYqOjlZ8fLzOnDlj7zNkyBD997//1bp16/TZZ59p8+bNGjlyZEUdAgAAACoRi2EYhruLkK7cSu3jjz9Wv379SuxjtVoVFBSk9evXq2vXrtq/f78aNWqkHTt2qFWrVpKk1atXq0ePHjpx4oQiIyMdeuyC/WZmZnL7XQCmYLPZ9MUXX6hHjx7cfheAKTia1zwrsKYyuXz5slJSUhQUFKRmzZpJkrZu3arg4GB7sJWkuLg4eXh4aPv27erfv3+x+8rJyVFOTo592Wq1Srryx8Bms5XjUQBAxSh4L+M9DYBZOPp+VunD7WeffabBgwcrOztbERERWrdunWrUqCFJSktLU2hoaKH+np6eCgkJUVpaWon7nDFjhqZOnVqkfe3atfL393ftAQCAG61bt87dJQCAS2RnZzvUr9KH2y5dumjv3r06e/asXn/9dQ0aNEjbt28vEmqdMXHiRCUnJ9uXrVaroqKiFB8fz7AEAKZgs9m0bt063XXXXQxLAGAKBZ+0X0ulD7cBAQGqV6+e6tWrp3bt2ql+/fp64403NHHiRIWHh+v06dOF+ufm5urcuXMKDw8vcZ8+Pj7y8fEp0u7l5cUfAZjWpUuXdPz4cXeXgQqSm5ur9PR0HT16VJ6elf6tHi5Sq1Yt+fr6ursMoFw4mtGuu3e8/Px8+3jZ9u3bKyMjQ7t27VLLli0lSRs3blR+fr7atm3rzjKBSuf48ePMJHIDWrZsmbtLQAVKSUlRgwYN3F0G4FZuDbdZWVk6dOiQfTk1NVV79+5VSEiIqlevrueff159+vRRRESEzp49q4ULF+rkyZO69957JUmxsbG6++67NWLECC1atEg2m01jxozR4MGDHZ4pAbhR1KpVSykpKe4uAxXkyJEjevHFFzVhwgTVqVPH3eWggtSqVcvdJQBu59Zwu3PnTnXp0sW+XDAONjExUYsWLdJPP/2kpUuX6uzZs6pevbpat26tr7/+Wo0bN7Zv8+6772rMmDHq2rWrPDw8NGDAAC1YsKDCjwWo7Hx9fTmjcwPJzc2VdCXs8LoDuJG4Ndx27txZV5tmd+XKldfcR0hICB+7AQAAQJKb71AGAAAAuBLhFgAAAKZBuAUAAIBpEG4BAABgGoRbAAAAmAbhFgAAAKZBuAUAAIBpEG4BAABgGoRbAAAAmAbhFgAAAKZBuAUAAIBpEG4BAABgGoRbAAAAmAbhFgAAAKZBuAUAAIBpEG4BAABgGoRbAAAAmAbhFgAAAKZBuAUAAIBpEG4BAABgGoRbAAAAmAbhFgAAAKZBuAUAAIBpEG4BAABgGoRbAAAAmAbhFgAAAKZBuAUAAIBpEG4BAABgGoRbAAAAmAbhFgAAAKZBuAUAAIBpEG4BAABgGoRbAAAAmAbhFgAAAKZBuAUAAIBpEG4BAABgGm4Nt5s3b1bv3r0VGRkpi8WiVatW2dfZbDY9+eSTatKkiQICAhQZGamEhASdOnWq0D7OnTunIUOGKDAwUMHBwRo+fLiysrIq+EgAAABQGbg13F64cEHNmjXTwoULi6zLzs7W7t27NWnSJO3evVsrV67UgQMH1KdPn0L9hgwZov/+979at26dPvvsM23evFkjR46sqEMAAABAJeLpzgfv3r27unfvXuy6oKAgrVu3rlDbK6+8ojZt2uj48eOqVauW9u/fr9WrV2vHjh1q1aqVJOnll19Wjx499I9//EORkZHlfgwAAACoPNwabp2VmZkpi8Wi4OBgSdLWrVsVHBxsD7aSFBcXJw8PD23fvl39+/cvdj85OTnKycmxL1utVklXhkLYbLbyOwAAqCC5ubn277yvATADR9/Lrptwe+nSJT355JO6//77FRgYKElKS0tTaGhooX6enp4KCQlRWlpaifuaMWOGpk6dWqR97dq18vf3d23hAOAG6enpkqRt27YpNTXVzdUAQNllZ2c71O+6CLc2m02DBg2SYRh67bXXyry/iRMnKjk52b5stVoVFRWl+Ph4e3AGgOvZ/v37tWzZMrVr106xsbHuLgcAyqzgk/ZrqfThtiDYHjt2TBs3biwUPsPDw3X69OlC/XNzc3Xu3DmFh4eXuE8fHx/5+PgUaffy8pKXl5frigcAN/H09LR/530NgBk4+l5Wqee5LQi2Bw8e1Pr161W9evVC69u3b6+MjAzt2rXL3rZx40bl5+erbdu2FV0uAAAA3MytZ26zsrJ06NAh+3Jqaqr27t2rkJAQRUREaODAgdq9e7c+++wz5eXl2cfRhoSEyNvbW7Gxsbr77rs1YsQILVq0SDabTWPGjNHgwYOZKQEAAOAG5NZwu3PnTnXp0sW+XDAONjExUVOmTNEnn3wiSWrevHmh7TZt2qTOnTtLkt59912NGTNGXbt2lYeHhwYMGKAFCxZUSP0AAACoXNwabjt37izDMEpcf7V1BUJCQrRs2TJXlgUAAIDrVKUecwsAAAA4g3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANt4bbzZs3q3fv3oqMjJTFYtGqVasKrV+5cqXi4+NVvXp1WSwW7d27t8g+Ll26pEceeUTVq1fXTTfdpAEDBig9Pb1iDgAAAACVilvD7YULF9SsWTMtXLiwxPUdO3bUzJkzS9zHuHHj9Omnn2r58uX697//rVOnTumee+4pr5IBAABQiXm688G7d++u7t27l7j+L3/5iyTp6NGjxa7PzMzUG2+8oWXLlunOO++UJC1evFixsbHatm2b2rVr5/KaAQAAUHm5NdyW1a5du2Sz2RQXF2dva9iwoWrVqqWtW7eWGG5zcnKUk5NjX7ZarZIkm80mm81WvkUDQAXIzc21f+d9DYAZOPpedl2H27S0NHl7eys4OLhQe1hYmNLS0krcbsaMGZo6dWqR9rVr18rf39/VZQJAhSu49mDbtm1KTU11czUAUHbZ2dkO9buuw21pTZw4UcnJyfZlq9WqqKgoxcfHKzAw0I2VAYBr7N+/X8uWLVO7du0UGxvr7nIAoMwKPmm/lus63IaHh+vy5cvKyMgodPY2PT1d4eHhJW7n4+MjHx+fIu1eXl7y8vIqj1IBoEJ5enrav/O+BsAMHH0vu67nuW3ZsqW8vLy0YcMGe9uBAwd0/PhxtW/f3o2VAQAAwB3ceuY2KytLhw4dsi+npqZq7969CgkJUa1atXTu3DkdP35cp06dknQluEpXztiGh4crKChIw4cPV3JyskJCQhQYGKhHH31U7du3Z6YEAACAG5Bbz9zu3LlTLVq0UIsWLSRJycnJatGihSZPnixJ+uSTT9SiRQv17NlTkjR48GC1aNFCixYtsu9j7ty56tWrlwYMGKA///nPCg8P18qVKyv+YAAAAOB2FsMwDHcX4W5Wq1VBQUHKzMzkgjIAprBv3z6NHj1ar776qho1auTucgCgzBzNa9f1mFsAAADg9wi3AAAAMA3CLQAAAEyDcAsAAADTINwCAADANEo1z21GRoa+/fZbnT59Wvn5+YXWJSQkuKQwAAAAwFlOh9tPP/1UQ4YMUVZWlgIDA2WxWOzrLBYL4RYAAABu4/SwhPHjx2vYsGHKyspSRkaGfvvtN/vXuXPnyqNGAAAAwCFOh9uTJ08qKSlJ/v7+5VEPAAAAUGpOh9tu3bpp586d5VELAAAAUCZOj7nt2bOnHn/8ce3bt09NmjSRl5dXofV9+vRxWXEAAACAM5wOtyNGjJAkTZs2rcg6i8WivLy8slcFAAAAlILT4faPU38BAAAAlQU3cQAAAIBplCrc/vvf/1bv3r1Vr1491atXT3369NHXX3/t6toAAAAApzgdbt955x3FxcXJ399fSUlJSkpKkp+fn7p27aply5aVR40AAACAQ5wec/v8889r1qxZGjdunL0tKSlJc+bM0fTp0/XAAw+4tEAAAADAUU6fuT1y5Ih69+5dpL1Pnz5KTU11SVEAAABAaTgdbqOiorRhw4Yi7evXr1dUVJRLigIAAABKw+lhCePHj1dSUpL27t2rDh06SJL+85//aMmSJZo/f77LCwQAAAAc5XS4HTVqlMLDwzV79mx9+OGHkqTY2Fh98MEH6tu3r8sLBAAAABzldLiVpP79+6t///6urgUAAAAoE27iAAAAANNw6MxtSEiIfv75Z9WoUUPVqlWTxWIpse+5c+dcVhwAAADgDIfC7dy5c1W1alX7z1cLtwAAAIC7OBRuExMT7T8PHTq0vGoBAAAAysTpMbdVqlTR6dOni7T/+uuvqlKlikuKAgAAAErD6XBrGEax7Tk5OfL29i5zQQAAAEBpOTwV2IIFCyRJFotF//znP3XTTTfZ1+Xl5Wnz5s1q2LCh6ysEAAAAHORwuJ07d66kK2duFy1aVGgIgre3t6Kjo7Vo0SLXVwgAAAA4yOFwm5qaKknq0qWLVq5cqWrVqpVbUQAAAEBpOH2Hsk2bNpVHHQAAAECZOX1B2YABAzRz5swi7bNmzdK9997rkqIAAACA0nA63G7evFk9evQo0t69e3dt3rzZJUUBAAAApeF0uM3Kyip2yi8vLy9ZrVaXFAUAAACUhtPhtkmTJvrggw+KtL///vtq1KiRS4oCAAAASsPpcDtp0iRNnz5diYmJWrp0qZYuXaqEhAQ9//zzmjRpklP72rx5s3r37q3IyEhZLBatWrWq0HrDMDR58mRFRETIz89PcXFxOnjwYKE+586d05AhQxQYGKjg4GANHz5cWVlZzh4WAAAATMDp2RJ69+6tVatW6YUXXtBHH30kPz8/NW3aVOvXr1enTp2c2teFCxfUrFkzDRs2TPfcc0+R9bNmzdKCBQu0dOlSxcTEaNKkSerWrZv27dsnX19fSdKQIUP0yy+/aN26dbLZbHrooYc0cuRILVu2zNlDuyGlp6crMzPT3WUAcLHjx4/bv3t6Ov1WD6CSCwoKUlhYmLvLqJQsRkn3061gFotFH3/8sfr16yfpylnbyMhIjR8/Xn//+98lSZmZmQoLC9OSJUs0ePBg7d+/X40aNdKOHTvUqlUrSdLq1avVo0cPnThxQpGRkQ49ttVqVVBQkDIzMxUYGFgux1cZpaen68G/JMh2OcfdpQAAACd4efvonbffuqECrqN5rdL+dz41NVVpaWmKi4uztwUFBalt27baunWrBg8erK1btyo4ONgebCUpLi5OHh4e2r59u/r37++O0q8bmZmZsl3O0cU6nZTvG+TucgAAgAM8LmVKR/5tP+mHwpwOtx4eHrJYLCWuz8vLK1NBBdLS0iSpyIsWFhZmX5eWlqbQ0NBC6z09PRUSEmLvU5ycnBzl5Pzf2cqCWR5sNptsNptL6r8e5ObmSpLyfYOUH1DDzdUAAABn5Obm3lC5xdFjdTrcfvzxx0UeaM+ePVq6dKmmTp3q7O7cYsaMGcXWunbtWvn7+7uhIvdIT093dwkAAKCUtmzZUuRCezPLzs52qJ/T4bZv375F2gYOHKjGjRvrgw8+0PDhw53dZbHCw8MlXQlgERER9vb09HQ1b97c3uf06dOFtsvNzdW5c+fs2xdn4sSJSk5Oti9brVZFRUUpPj7+hhpze/DgQS68AwDgOtWxY0fVr1/f3WVUGEfvp+CyMbft2rXTyJEjXbU7xcTEKDw8XBs2bLCHWavVqu3bt2vUqFGSpPbt2ysjI0O7du1Sy5YtJUkbN25Ufn6+2rZtW+K+fXx85OPjU6Tdy8tLXl5eLjuGyo4rqAEAuH55enreULnF0WN1Sbq5ePGiFixYoJtvvtmp7bKysnTo0CH7cmpqqvbu3auQkBDVqlVLY8eO1XPPPaf69evbpwKLjIy0z6gQGxuru+++WyNGjNCiRYtks9k0ZswYDR482OGZEgAAAGAeTofbatWqFbqgzDAMnT9/Xv7+/nrnnXec2tfOnTvVpUsX+3LBUIHExEQtWbJETzzxhC5cuKCRI0cqIyNDHTt21OrVq+1z3ErSu+++qzFjxqhr167y8PDQgAEDtGDBAmcPCwAAACbgdLidO3duoXDr4eGhmjVrqm3btqpWrZpT++rcubOuNs2uxWLRtGnTNG3atBL7hISEMG4UAAAAkkoRbocOHVoOZQAAAABl51C4/f777x3eYdOmTUtdDAAAAFAWDoXb5s2by2Kx2IcQVMRNHAAAAABneTjSKTU1VUeOHFFqaqpWrlypmJgYvfrqq9qzZ4/27NmjV199VXXr1tWKFSvKu14AAACgRA6dua1du7b953vvvVcLFixQjx497G1NmzZVVFSUJk2aZJ+mCwAAAKhoDp25/b0ffvhBMTExRdpjYmK0b98+lxQFAAAAlIbT4TY2NlYzZszQ5cuX7W2XL1/WjBkzFBsb69LiAAAAAGc4PRXYokWL1Lt3b91yyy32mRG+//57WSwWffrppy4vEAAAAHCU0+G2TZs2OnLkiN5991399NNPkqT77rtPDzzwgAICAlxeIAAAAOAop8OtJAUEBGjkyJGurgUAAAAok1KF28OHD2vevHnav3+/JKlx48ZKSkpS3bp1XVocAAAA4AynLyhbs2aNGjVqpG+//VZNmzZV06ZNtW3bNjVu3Fjr1q0rjxoBAAAAhzh95nbChAkaN26cXnzxxSLtTz75pO666y6XFQcAAAA4w+kzt/v379fw4cOLtA8bNox5bgEAAOBWTofbmjVrau/evUXa9+7dq9DQUFfUBAAAAJSK08MSRowYoZEjR+rIkSPq0KGDJOk///mPZs6cqeTkZJcXCAAAADjK6XA7adIkVa1aVbNnz9bEiRMlSZGRkZoyZYqSkpJcXiAAAADgKKfCbW5urpYtW6YHHnhA48aN0/nz5yVJVatWLZfiAAAAAGc4NebW09NTf/vb33Tp0iVJV0ItwRYAAACVhdMXlLVp00Z79uwpj1oAAACAMnF6zO3o0aM1fvx4nThxQi1btlRAQECh9U2bNnVZcQAAAIAznA63gwcPlqRCF49ZLBYZhiGLxaK8vDzXVQcAAAA4welwm5qaWh51AAAAAGXmVLi1Wq36+eefdfnyZbVp00Y1a9Ysr7oAAAAApzkcbvfu3asePXooPT1dhmGoatWq+vDDD9WtW7fyrA8AAABwmMOzJTz55JOKiYnRli1btGvXLnXt2lVjxowpz9oAAAAApzh85nbXrl1au3at/vSnP0mS3nzzTYWEhMhqtSowMLDcCgQAAAAc5fCZ23PnzumWW26xLwcHBysgIEC//vpruRQGAAAAOMupC8r27duntLQ0+7JhGNq/f7/9NrwS89wCAADAfZwKt127dpVhGIXaevXqxTy3AAAAqBQcDrfMbwsAAIDKzuFwW7t27fKsAwAAACgzhy8oAwAAACo7wi0AAABMg3ALAAAA0yDcAgAAwDScDrfPPvusjh07Vh61FOv8+fMaO3asateuLT8/P3Xo0EE7duywrzcMQ5MnT1ZERIT8/PwUFxengwcPVlh9AAAAqDycDrf/+te/VLduXXXt2lXLli1TTk5OedRl9/DDD2vdunV6++239cMPPyg+Pl5xcXE6efKkJGnWrFlasGCBFi1apO3btysgIEDdunXTpUuXyrUuAAAAVD5Oh9u9e/dqx44daty4sR577DGFh4dr1KhRhc6musrFixe1YsUKzZo1S3/+859Vr149TZkyRfXq1dNrr70mwzA0b948PfPMM+rbt6+aNm2qt956S6dOndKqVatcXg8AAAAqt1KNuW3RooUWLFigU6dO6Y033tCJEyd0++23q2nTppo/f74yMzNdUlxubq7y8vLk6+tbqN3Pz09btmxRamqq0tLSFBcXZ18XFBSktm3bauvWrS6pAQAAANcPp26/+0eGYchms+ny5csyDEPVqlXTK6+8okmTJun111/XfffdV6biqlatqvbt22v69OmKjY1VWFiY3nvvPW3dulX16tVTWlqaJCksLKzQdmFhYfZ1xcnJySk0nMJqtUqSbDabbDZbmWq+nuTm5kqSPC5muLcQAADgsIK/27m5uTdUbnH0WEsVbnft2qXFixfrvffek4+PjxISErRw4ULVq1dPkvTyyy8rKSmpzOFWkt5++20NGzZMN998s6pUqaI//elPuv/++7Vr165S73PGjBmaOnVqkfa1a9fK39+/LOVeV9LT0yVJfqmb3VwJAABw1pYtW26oi+izs7Md6mcxDMNwZsdNmjTRTz/9pPj4eI0YMUK9e/dWlSpVCvU5e/asQkNDlZ+f78yur+rChQuyWq2KiIjQfffdp6ysLL388suqW7eu9uzZo+bNm9v7durUSc2bN9f8+fOL3VdxZ26joqJ09uxZBQYGuqzmyu7gwYMaPXq0Lsb8Wfl+we4uBwAAOMDjYob8Ujfr1VdfVf369d1dToWxWq2qUaOGMjMzr5rXnD5zO2jQIPuZ1JLUqFHDpcFWkgICAhQQEKDffvtNa9as0axZsxQTE6Pw8HBt2LDBHm6tVqu2b9+uUaNGlbgvHx8f+fj4FGn38vKSl5eXS+uuzDw9r7z8+X7Byg+o4eZqAACAMzw9PW+o3OLosTp9QVnB2No/unjxoqZNm+bs7q5pzZo1Wr16tVJTU7Vu3Tp16dJFDRs21EMPPSSLxaKxY8fqueee0yeffKIffvhBCQkJioyMVL9+/VxeCwAAACo3p8Pt1KlTlZWVVaQ9Ozu72HGsZZWZmalHHnlEDRs2VEJCgjp27Kg1a9bY0/sTTzyhRx99VCNHjlTr1q2VlZWl1atXF5lhAQAAAObn9LAEwzBksViKtH/33XcKCQlxSVG/N2jQIA0aNKjE9RaLRdOmTSuXs8YAAAC4vjgcbqtVqyaLxSKLxaIGDRoUCrh5eXnKysrS3/72t3IpEgAAAHCEw+F23rx5MgxDw4YN09SpUxUUFGRf5+3trejoaLVv375cigQAAAAc4XC4TUxMlCTFxMSoQ4cON9TVeQAAALg+OBRurVarfT6xFi1a6OLFi7p48WKxfW+keWIBAABQuTgUbqtVq6ZffvlFoaGhCg4OLvaCsoILzfLy8lxeJAAAAOAIh8Ltxo0b7TMhbNy4sdhwCwAAALibQ+G2U6dO9p87d+5cXrUAAAAAZeL0TRwWL16s5cuXF2lfvny5li5d6pKiAAAAgNJwOtzOmDFDNWrUKNIeGhqqF154wSVFAQAAAKXhdLg9fvy4YmJiirTXrl1bx48fd0lRAAAAQGk4HW5DQ0P1/fffF2n/7rvvVL16dZcUBQAAAJSG0+H2/vvvV1JSkjZt2qS8vDzl5eVp48aNeuyxxzR48ODyqBEAAABwiMN3KCswffp0HT16VF27dpWn55XN8/PzlZCQwJhbAAAAuJXT4dbb21sffPCBpk+fru+++05+fn5q0qSJateuXR71AQAAAA5zOtwWaNCggRo0aODKWgAAAIAycSjcJicna/r06QoICFBycvJV+86ZM8clhQEAAADOcijc7tmzRzabTZK0e/fuEm+/y215AQAA4E4OhdtNmzbZf/7qq6/KqxYAAACgTJyaCsxms8nT01M//vhjedUDAAAAlJpT4dbLy0u1atVSXl5eedUDAAAAlJrTN3F4+umn9dRTT+ncuXPlUQ8AAABQak5PBfbKK6/o0KFDioyMVO3atRUQEFBo/e7du11WHAAAAOAMp8Nt3759mRUBAAAAlZLT4XbKlCnlUAYAAABQdk6Pua1Tp45+/fXXIu0ZGRmqU6eOS4oCAAAASsPpcHv06NFiZ0vIycnRiRMnXFIUAAAAUBoOD0v45JNP7D+vWbNGQUFB9uW8vDxt2LBBMTExrq0OAAAAcILD4bZfv36SrtxiNzExsdA6Ly8vRUdHa/bs2S4tDgAAAHCGw+E2Pz9fkhQTE6MdO3aoRo0a5VYUAAAAUBpOz5aQmppaHnUAAAAAZeb0BWVJSUlasGBBkfZXXnlFY8eOdUVNAAAAQKk4HW5XrFih22+/vUh7hw4d9NFHH7mkKAAAAKA0nA63v/76a6GZEgoEBgbq7NmzLikKAAAAKA2nw229evW0evXqIu1ffvklN3EAAACAWzl9QVlycrLGjBmjM2fO6M4775QkbdiwQbNnz9a8efNcXR8AAADgMKfD7bBhw5STk6Pnn39e06dPlyRFR0frtddeU0JCgssLBAAAABzldLiVpFGjRmnUqFE6c+aM/Pz8dNNNN7m6LgAAAMBpTo+5laTc3FytX79eK1eulGEYkqRTp04pKyvLpcXl5eVp0qRJiomJkZ+fn+rWravp06fbH1OSDMPQ5MmTFRERIT8/P8XFxengwYMurQMAAADXB6fP3B47dkx33323jh8/rpycHN11112qWrWqZs6cqZycHC1atMhlxc2cOVOvvfaali5dqsaNG2vnzp166KGHFBQUpKSkJEnSrFmztGDBAi1dulQxMTGaNGmSunXrpn379snX19dltQAAAKDyc/rM7WOPPaZWrVrpt99+k5+fn729f//+2rBhg0uL++abb9S3b1/17NlT0dHRGjhwoOLj4/Xtt99KunLWdt68eXrmmWfUt29fNW3aVG+99ZZOnTqlVatWubQWAAAAVH5On7n9+uuv9c0338jb27tQe3R0tE6ePOmywqQrN4ZISUnRzz//rAYNGui7777Tli1bNGfOHElXbgWclpamuLg4+zZBQUFq27attm7dqsGDBxe735ycHOXk5NiXrVarJMlms8lms7n0GCqz3Nxcd5cAAABKKTc394bKLY4eq9PhNj8/X3l5eUXaT5w4oapVqzq7u6uaMGGCrFarGjZsqCpVqigvL0/PP/+8hgwZIklKS0uTJIWFhRXaLiwszL6uODNmzNDUqVOLtK9du1b+/v4uPILKLT093d0lAACAUtqyZcsNdZ1Rdna2Q/2cDrfx8fGaN2+eUlJSJEkWi0VZWVl69tln1aNHD2d3d1Uffvih3n33XS1btkyNGzfW3r17NXbsWEVGRioxMbHU+504caKSk5Pty1arVVFRUYqPj1dgYKArSr8uHDx4UMuWLXN3GQAAoBQ6duyo+vXru7uMClPwSfu1OB1uZ8+erW7duqlRo0a6dOmSHnjgAR08eFA1atTQe++953ShV/P4449rwoQJ9uEFTZo00bFjxzRjxgwlJiYqPDxc0pUzkBEREfbt0tPT1bx58xL36+PjIx8fnyLtXl5e8vLycukxVGaenqWaCQ4AAFQCnp6eN1RucfRYnU43t9xyi7777ju9//77+v7775WVlaXhw4dryJAhhS4wc4Xs7Gx5eBS+5q1KlSrKz8+XJMXExCg8PFwbNmywh1mr1art27dr1KhRLq0FAAAAlV+pTt15enrqwQcfdHUtRfTu3VvPP/+8atWqpcaNG2vPnj2aM2eOhg0bJunKkIixY8fqueeeU/369e1TgUVGRqpfv37lXh8AAAAqF4fC7SeffOLwDvv06VPqYv7o5Zdf1qRJkzR69GidPn1akZGR+utf/6rJkyfb+zzxxBO6cOGCRo4cqYyMDHXs2FGrV69mjlsAAIAbkMX4/e2+SvDHoQEl7sxiKXYmhcrOarUqKChImZmZN9QFZT///LNGjhypC436KD+ghrvLAQAADvC4cFYB+z5RSkqKGjRo4O5yKoyjec2hM7cFY1wBAACAyszpO5QBAAAAlZXD4bZHjx7KzMy0L7/44ovKyMiwL//6669q1KiRS4sDAAAAnOFwuF2zZk2hW9a+8MILOnfunH05NzdXBw4ccG11AAAAgBMcDrd/vO7MgevQAAAAgArFLaogj0uZ1+4EAAAqBf5uX53D4dZischisRRpw/UrKChIXt4+0pF/u7sUAADgBC9vHwUFBbm7jErJ4XBrGIaGDh0qHx8fSdKlS5f0t7/9TQEBAZJUaDwurg9hYWF65+23Cl0oCMAcjhw5ohdffFETJkxQnTp13F0OABcLCgpSWFiYu8uolBwOt4mJiYWWi7v9bkJCQtkrQoUKCwvjHwdgQrm5uZKkWrVq3VCTvAOAw+F28eLF5VkHAAAAUGbcxAEAAACmQbgFAACAaRBuAQAAYBqEWwAAAJgG4RYAAACmQbgFAACAaRBuAQAAYBqEWwAAAJgG4RYAAACmQbgFAACAaRBuAQAAYBqEWwAAAJgG4RYAAACmQbgFAACAaRBuAQAAYBqEWwAAAJgG4RYAAACmQbgFAACAaRBuAQAAYBqEWwAAAJgG4RYAAACmQbgFAACAaRBuAQAAYBqEWwAAAJgG4RYAAACmQbgFAACAaVT6cBsdHS2LxVLk65FHHpEkXbp0SY888oiqV6+um266SQMGDFB6erqbqwYAAIA7VPpwu2PHDv3yyy/2r3Xr1kmS7r33XknSuHHj9Omnn2r58uX697//rVOnTumee+5xZ8kAAABwE093F3AtNWvWLLT84osvqm7duurUqZMyMzP1xhtvaNmyZbrzzjslSYsXL1ZsbKy2bdumdu3auaNkAAAAuEmlD7e/d/nyZb3zzjtKTk6WxWLRrl27ZLPZFBcXZ+/TsGFD1apVS1u3bi0x3Obk5CgnJ8e+bLVaJUk2m002m618DwIAKkBubq79O+9rAMzA0fey6yrcrlq1ShkZGRo6dKgkKS0tTd7e3goODi7ULywsTGlpaSXuZ8aMGZo6dWqR9rVr18rf39+VJQOAWxRce7Bt2zalpqa6uRoAKLvs7GyH+l1X4faNN95Q9+7dFRkZWab9TJw4UcnJyfZlq9WqqKgoxcfHKzAwsKxlAoDb7d+/X8uWLVO7du0UGxvr7nIAoMwKPmm/lusm3B47dkzr16/XypUr7W3h4eG6fPmyMjIyCp29TU9PV3h4eIn78vHxkY+PT5F2Ly8veXl5ubRuAHAHT09P+3fe1wCYgaPvZZV+toQCixcvVmhoqHr27Glva9mypby8vLRhwwZ724EDB3T8+HG1b9/eHWUCAADAja6LM7f5+flavHixEhMT7WcjJCkoKEjDhw9XcnKyQkJCFBgYqEcffVTt27dnpgQAAIAb0HURbtevX6/jx49r2LBhRdbNnTtXHh4eGjBggHJyctStWze9+uqrbqgSAAAA7nZdhNv4+HgZhlHsOl9fXy1cuFALFy6s4KoAAABQ2Vw3Y24BAACAayHcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMg3ALAAAA0yDcAgAAwDQItwAAADANwi0AAABMo9KH25MnT+rBBx9U9erV5efnpyZNmmjnzp329YZhaPLkyYqIiJCfn5/i4uJ08OBBN1YMAAAAd6nU4fa3337T7bffLi8vL3355Zfat2+fZs+erWrVqtn7zJo1SwsWLNCiRYu0fft2BQQEqFu3brp06ZIbKwcAAIA7eLq7gKuZOXOmoqKitHjxYntbTEyM/WfDMDRv3jw988wz6tu3ryTprbfeUlhYmFatWqXBgwdXeM0AAABwn0p95vaTTz5Rq1atdO+99yo0NFQtWrTQ66+/bl+fmpqqtLQ0xcXF2duCgoLUtm1bbd261R0lAwAAwI0q9ZnbI0eO6LXXXlNycrKeeuop7dixQ0lJSfL29lZiYqLS0tIkSWFhYYW2CwsLs68rTk5OjnJycuzLVqtVkmSz2WSz2crhSACgYuXm5tq/874GwAwcfS+r1OE2Pz9frVq10gsvvCBJatGihX788UctWrRIiYmJpd7vjBkzNHXq1CLta9eulb+/f6n3CwCVRXp6uiRp27ZtSk1NdXM1AFB22dnZDvWr1OE2IiJCjRo1KtQWGxurFStWSJLCw8MlXXkTj4iIsPdJT09X8+bNS9zvxIkTlZycbF+2Wq2KiopSfHy8AgMDXXgEAOAe+/fv17Jly9SuXTvFxsa6uxwAKLOCT9qvpVKH29tvv10HDhwo1Pbzzz+rdu3akq5cXBYeHq4NGzbYw6zVatX27ds1atSoEvfr4+MjHx+fIu1eXl7y8vJy3QEAgJt4enrav/O+BsAMHH0vq9Thdty4cerQoYNeeOEFDRo0SN9++61SUlKUkpIiSbJYLBo7dqyee+451a9fXzExMZo0aZIiIyPVr18/9xYPAACAClepw23r1q318ccfa+LEiZo2bZpiYmI0b948DRkyxN7niSee0IULFzRy5EhlZGSoY8eOWr16tXx9fd1YOQAAANyhUodbSerVq5d69epV4nqLxaJp06Zp2rRpFVgVAAAAKqNKPc8tAAAA4AzCLQAAAEyDcAsAAADTINwCAADANAi3AAAAMA3CLQAAAEyDcAsAAADTINwCAADANAi3AAAAMA3CLQAAAEyDcAsAAADTINwCAADANAi3AAAAMA3CLQAAAEyDcAsAAADT8HR3AQAqxqVLl3T8+HF3l4EKUvBaHz9+XJ6evNXfKGrVqiVfX193lwG4Fe94wA3i+PHjGjlypLvLQAV78cUX3V0CKlBKSooaNGjg7jIAtyLcAjeIWrVqKSUlxd1loILk5uZqy5Yt6tixI2dubyC1atVydwmA2/GOB9wgfH19OaNzA7HZbDp48KDq168vLy8vd5cDABWGC8oAAABgGoRbAAAAmAbhFgAAAKZBuAUAAIBpEG4BAABgGoRbAAAAmAbhFgAAAKZBuAUAAIBpEG4BAABgGoRbAAAAmAbhFgAAAKZBuAUAAIBpEG4BAABgGp7uLqAyMAxDkmS1Wt1cCQC4hs1mU3Z2tqxWq7y8vNxdDgCUWUFOK8htJSHcSjp//rwkKSoqys2VAAAA4GrOnz+voKCgEtdbjGvF3xtAfn6+Tp06papVq8pisbi7HAAoM6vVqqioKP3vf/9TYGCgu8sBgDIzDEPnz59XZGSkPDxKHllLuAUAE7JarQoKClJmZibhFsANhQvKAAAAYBqEWwAAAJgG4RYATMjHx0fPPvusfHx83F0KAFQoxtwCAADANDhzCwAAANMg3AIAAMA0CLcAAAAwDcItAAAATINwCwAAANMg3AIAAMA0CLcAAAAwDcItAAAATOP/A5cjVAjBK3X2AAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Forecasting Electricity Demand using XGBoost ⚡"
      ],
      "metadata": {
        "id": "JZyV8tWDKNtu"
      },
      "id": "JZyV8tWDKNtu"
    },
    {
      "cell_type": "code",
      "source": [
        "import xgboost as xgb\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import mean_absolute_error\n",
        "\n",
        "# Create features (lag-based time series transformation)\n",
        "df[\"Lag_1\"] = df[\"Value\"].shift(1)  # Previous day's production\n",
        "df[\"Lag_2\"] = df[\"Value\"].shift(2)  # Two days ago\n",
        "df[\"Month\"] = df.index.month\n",
        "df[\"Year\"] = df.index.year\n",
        "df.dropna(inplace=True)  # Drop missing values\n",
        "\n",
        "# Split dataset into features and target variable\n",
        "X = df[[\"Lag_1\", \"Lag_2\", \"Month\", \"Year\"]]\n",
        "y = df[\"Value\"]\n",
        "\n",
        "# Train-test split\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, shuffle=False, random_state=42)\n",
        "\n",
        "# Train XGBoost model\n",
        "model = xgb.XGBRegressor(n_estimators=100, learning_rate=0.1, objective=\"reg:squarederror\", random_state=42)\n",
        "model.fit(X_train, y_train)\n",
        "\n",
        "# Make predictions\n",
        "predictions = model.predict(X_test)\n",
        "\n",
        "# Evaluate model\n",
        "mae = mean_absolute_error(y_test, predictions)\n",
        "print(f\"Mean Absolute Error: {mae:.2f}\")\n",
        "\n",
        "# Plot actual vs predicted values\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(y_test.index, y_test, label=\"Actual Data\", color=\"blue\")\n",
        "plt.plot(y_test.index, predictions, label=\"Predicted Data\", color=\"red\", linestyle=\"dashed\")\n",
        "plt.xlabel(\"Year\")\n",
        "plt.ylabel(\"Electricity Production\")\n",
        "plt.title(\"Electricity Forecasting using XGBoost\")\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 582
        },
        "id": "ADrxGeJjH5No",
        "outputId": "f2e9473a-1e19-4ef9-fbc7-0fe505dd84f8"
      },
      "id": "ADrxGeJjH5No",
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mean Absolute Error: 4.36\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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KHsVqtVKhQoUEt0O3bt0S/fx3797l5Zdf5p9//mHo0KH88ccfrF271ram++H2eiNHjuTgwYN8+umnBAcH07NnT8qXL8/FixeT/fslVFHeMIxkP2dsCc24iJ2w5s6dmwMHDrBs2TKaNm3Kxo0badiwoa1K+6Okxu8RpXv37gD8+eefvPnmm3z11VcxRvRBEmKAQ4cOxbi9UKFC1KlThzp16pA9e/ZEv2bt2rUB2LJlS0pCf6TevXtz/Phxhg8fTvr06Rk4cCBly5Zl//79DntNpZRyVZq0K6WUiiNXrlxkyZKFyMhI20F/7H+5c+cGpPjYsWPH4q3AHiU5U9fjU6JECS5fvszt27eT9HOPe/22bduyYcMGrly5wuzZs2ncuHGSkpyEFClSBCBOq62wsDDOnDlju/9RSpQowe3bt6ldu3a82yFqVLNEiRJYrVb++++/BJ9r06ZN3Lp1i6lTp9KrVy9effXVRyZ0FSpU4PPPP2fLli1s3bqVS5cuxZiBYK/t+rAiRYpw8uTJOLfHd1t8smfPHm9F89izGkBGips0acL48eM5deoUH3zwAdOnT0/0az1KkSJFOHXqVJxEPinPvXjxYpYtW8awYcMoWLAgP/74I97e3nEK0UUVUZw1a1aK4wYpDAkycg+Jfx8n9Lio22K/30uUKEG/fv1Ys2YNhw4dIiwszLa0BBzz/lJKKVekSbtSSqk4PD09adGiBQsXLowzegcyfT5KixYtuHnzJmPHjo3zuKiEJaoafHzJVFK0aNECwzAYMmRIgq8Vn0yZMj3y9d9++20sFgu9evXi9OnTduu7XqdOHby9vRkzZkyM+KZMmcK9e/do3LjxY5+jZcuWXLp0icmTJ8e5Lzg4mMDAQABef/11PDw8GDp0aIwRc4j+20SNED8cS1hYGOPHj4/xeH9/f1viFqVChQp4eHjEaDOXKVOmFG/T2OrXr8+OHTs4cOCA7bbbt28nOiEtUaIER48ejfEe/eeff9i+fXuMx926dSvGdQ8PD1tHg/ha6SVV/fr1uXTpEsuWLbPdFhISEu92jM/9+/fp2bMnzzzzjK1eRP78+Rk2bBirVq1iwYIFtse++OKL1K1bl0mTJrF06dJ4ny8pswCiqtE//fTTQOLfx5UrVyZ37txMnDgxxt/wzz//5MiRI7bHBQUFERISEuM1S5QoQZYsWRz+/lJKKVeka9qVUioN+PPPP21Fxh72wgsvULx48Xh/5ptvvmHjxo1UrVqVTp06Ua5cOW7fvs3ff//NunXrbKPdbdu2Zfr06fTt25fdu3fz0ksvERgYyLp16+jWrRuvvfYaGTJkoFy5csybN49SpUrh5+fHk08+GW9RrUepVasWbdq0YcyYMZw4cYIGDRpgtVrZunUrtWrVsk0ljq1ixYp4enoyYsQI7t27h4+PD6+88opttkBUr/cFCxaQLVu2RCXTiZErVy4GDBjAkCFDaNCgAU2bNuXYsWOMHz+e5557LlEnB9q0acP8+fPp0qULGzdu5MUXXyQyMpKjR48yf/58Vq9eTeXKlSlZsiSfffYZw4YN46WXXqJ58+b4+PiwZ88e8ufPz/Dhw3nhhRfInj077dq1o2fPnlgsFmbMmBEnoduwYQPdu3fnzTffpFSpUkRERDBjxgzbyZwolSpVYt26dYwaNYr8+fNTrFgxqlatmqK/2UcffcTMmTOpW7cuPXr0sLV8K1y4MLdv337s6Ot7773HqFGjqF+/Ph07duT69etMnDiR8uXLx1jD//7773P79m1eeeUVChYsyLlz5/jpp5+oWLGirS1gSnzwwQeMHTuWt99+m169epEvXz5mzZplK9D2uN/j888/5/LlyyxatCjGdPwPP/yQadOm0bt3bxo0aGBbzz5z5kwaNGjA66+/TsOGDW0zKK5evcq6devYsmWLrR3dw/7++2/b0pD79++zfv16Fi5cyAsvvGBrE5jY97GXlxcjRoygQ4cOvPzyy7z99tu2lm9FixalT58+ABw/fpzatWvTsmVLypUrR7p06Vi8eDHXrl2jVatWttgqVarEhAkT+PLLLylZsiS5c+e2FWBUSqk0xYyS9UoppVLHo1q+AcZvv/1meyzxtGS7du2a8eGHHxqFChUyvLy8jLx58xq1a9c2Jk2aFONxQUFBxmeffWYUK1bM9rg33njDOHXqlO0xf/31l1GpUiXD29s7xmu1a9fOyJQpU7zxx27TZRiGERERYXz33XdGmTJlDG9vbyNXrlxGw4YNY7TCit3yzTAMY/LkyUbx4sUNT0/PeFtuzZ8/3wCMzp07J/wHjSe+hGJ/2NixY40yZcoYXl5eRp48eYyuXbvGaL9lGNJKrHz58vH+fFhYmDFixAijfPnyho+Pj5E9e3ajUqVKxpAhQ4x79+7FeOyvv/5qPPPMM7bHvfzyy8batWtt92/fvt14/vnnjQwZMhj58+c3PvroI2P16tUx/ianT5823nvvPaNEiRJG+vTpDT8/P6NWrVrGunXrYrzW0aNHjRo1ahgZMmQwANvfPKGWb40bN47zu8XXom3//v3GSy+9ZPj4+BgFCxY0hg8fbowZM8YAjKtXrz7iLy1mzpxpFC9e3PD29jYqVqxorF69Os576ffffzfq1atn5M6d2/D29jYKFy5sfPDBB8aVK1dsj0mo5Vt82ym+9+rp06eNxo0bGxkyZDBy5cpl9OvXz1i4cKEBGDt37kww/r179xqenp5G9+7d471/9+7dhoeHR5zWh8HBwcaPP/5oVKtWzfD19TXSpUtn5M2b13j11VeNWbNmxWhvF1/Lt3Tp0hnFixc3/ve//xn379+P87qJeR8bhmHMmzfP9h708/MzWrdubVy8eNF2/82bN40PP/zQKFOmjJEpUyYja9asRtWqVY358+fHeJ6rV68ajRs3NrJkyRKjlaJSSqU1FsNwQNUUpZRSysUsXbqU119/nS1btsRoS6acQ+/evfn5558JCAhIsBCcK/jxxx/p06cPFy9epECBAmaHo5RSygVo0q6UUkohxbyOHDnCyZMntQCWyYKDg2NU0r916xalSpXi2WefTVZfdbPE/j1CQkJ45plniIyM5Pjx4yZGppRSypXomnallFJp2ty5czl48CArVqxg9OjRmrA7gWrVqlGzZk3Kli3LtWvXmDJlCv7+/gwcONDs0JKkefPmFC5cmIoVK3Lv3j1mzpzJ0aNH7VblXSmlVNqgI+1KKaXSNIvFQubMmXnrrbeYOHEi6dLp+Wyzffrpp/z+++9cvHgRi8XCs88+y6BBg6hTp47ZoSXJjz/+yC+//MLZs2eJjIykXLlyfPTRR7z11ltmh6aUUsqFaNKulFJKKaWUUko5Ke3TrpRSSimllFJKOSlN2pVSSimllFJKKSelC/cAq9XK5cuXyZIlixYgUkoppZRSSinlcIZhcP/+ffLnz4+HR8Lj6Zq0A5cvX6ZQoUJmh6GUUkoppZRSKo25cOECBQsWTPB+TdqBLFmyAPLH8vX1NTmauMLDw1mzZg316tXDy8vL7HCUA+g2dn+6jd2fbmP3p9vY/ek2Tht0O7s/V9nG/v7+FCpUyJaPJkSTdrBNiff19XXapD1jxoz4+vo69ZtOJZ9uY/en29j96TZ2f7qN3Z9u47RBt7P7c7Vt/Lgl2lqITimllFJKKaWUclKatCullFJKKaWUUk5Kk3allFJKKaWUUspJ6Zr2RDIMg4iICCIjI1P9tcPDw0mXLh0hISGmvL5yHE9PT9Kl04+hUkoppZRSKn6aLSRCWFgYV65cISgoyJTXNwyDvHnzcuHCBe0j74YyZsxIrly5zA5DKaWUUkop5YQ0aX8Mq9XKmTNn8PT0JH/+/Hh7e6d64my1WgkICCBz5sx4eOiKBndhGAZhYWHcuHGD8+fPmx2OUkoppZRSyglp0v4YYWFhWK1WChUqRMaMGU2JwWq1EhYWRvr06TVpdzMZMmTAy8uLs2fP4unpaXY4SimllFJKKSejGWAiabKsHCXqvaVLH5RSSimllFKxmZqJbtmyhSZNmpA/f34sFgtLliyJcf/gwYMpU6YMmTJlInv27NSpU4ddu3bFeMzt27dp3bo1vr6+ZMuWjY4dOxIQEJCKv4VSSimllFJKKeUYpibtgYGBPP3004wbNy7e+0uVKsXYsWP5999/2bZtG0WLFqVevXrcuHHD9pjWrVtz+PBh1q5dy/Lly9myZQudO3dOrV9BKaWUUkoppZRyGFPXtDds2JCGDRsmeP8777wT4/qoUaOYMmUKBw8epHbt2hw5coRVq1axZ88eKleuDMBPP/1Eo0aN+P7778mfP79D41fJZ7FYWLx4Ma+//rrZoSillFJKKaWU03KZQnRhYWFMmjSJrFmz8vTTTwOwY8cOsmXLZkvYAerUqYOHhwe7du2iWbNm8T5XaGgooaGhtuv+/v6A9EMPDw+P8djw8HAMw8BqtWK1Wu39ayWKYRi2/5Maw44dO6hRowb169dn+fLlSfrZ4sWL06tXL3r16pWkn0usR/1NO3TowPTp0wFIly4dfn5+VKhQgVatWtG+ffsk1RiYOnUqffv25fbt23aJ296sVqttG8d+/yn3EbVtdRu7L93G7k+3sfvTbZw26HZ2f66yjRMbn9Mn7cuXL6dVq1YEBQWRL18+1q5dS86cOQG4evUquXPnjvH4qATv6tWrCT7n8OHDGTJkSJzb16xZE6dCfLp06cibNy8BAQGEhYXZ4TdKvvv37yf5Z37++Wc6d+7MzJkzOXbsGPny5Uv0z1qtVkJCQmwnNewtODg4wecODw+ndu3ajBs3jsjISG7cuMG6devo06cP8+bNY86cOaRLl7i3b0hICIZhOOz3SKmwsDBCQkIAWLt2rcnRKEfTbez+dBu7P93G7k+3cdqg29n9Ofs2DgoKStTjnD5pr1WrFgcOHODmzZtMnjyZli1bsmvXrjjJelIMGDCAvn372q77+/tTqFAh6tWrh6+vb4zHhoSEcOHCBTJnzkz69OkxDEjk39ZuDMPg/v375MmTBQ+PxFcYDwgIYPHixezevZvbt2+zaNEiBgwYEOMxf/zxB19++SX//vsvmTNnpnr16ixatIhXXnmFCxcu8Omnn/Lpp58CEBkZyZAhQ1i6dCl///237TlGjx7N6NGjOX36NAB79uzhs88+48CBA4SHh1OxYkVGjhzJs88+G+O1M2TIEOfvHcXLy4tMmTLxxBNPAFCmTBleeuklXn75ZerWrcuiRYt4//33Afjhhx+YOnUqp0+fxs/Pj1dffZURI0aQOXNmNm3axIcffghA9uzZAfjiiy8YNGgQM2bM4KeffuLYsWNkypSJWrVq8cMPP6TovZUcISEhpE+fHoC6devi5eWVqq+vUkd4eDhr167VbezGdBu7P93G7k+3cdqg29n9uco2TuygotMn7ZkyZaJkyZKULFmS559/nieeeIIpU6YwYMAA8ubNy/Xr12M8PiIigtu3b5M3b94En9PHxwcfH584t3t5ecXZqJGRkVgsFjw8PPDw8CAwEBLIMx0sG/7+VrJkSfy08N9//50yZcpQtmxZ2rRpQ+/evfn0009trcVWrFhBixYt+Oyzz5g+fTphYWGsXLkSDw8PFi1axNNPP03nzp3p1KkTIK3Jon724enpsW8LDAykffv2VK5cGcMwGDlyJK+++ionTpwgS5Ystp+L+pvGx2Kx2P7uD6tTpw5PP/00S5YssRUc9PT0ZMyYMRQrVozTp0/TrVs3PvnkE8aPH0/16tX58ccf+eKLLzh27BgAmTNnxsPDg8jISIYNG0bp0qW5fv06ffv25b333mPlypWJ/hvbw8N/1/jeg8q96DZ2f7qN3Z9uY/en2zht0O3s/px9Gyc2NqdP2mOzWq229ejVqlXj7t277Nu3j0qVKgGwYcMGrFYrVatWNTNMpzBlyhTeffddABo0aMC9e/fYvHkzNWvWBOCrr76iVatWMZYKRNUL8PPzw9PTkyxZsjzyBEh8XnnllRjXJ02aRLZs2di8eTOvvvpqCn4jUaZMGQ4ePGi73rt3b9vlokWL8uWXX9KlSxfGjx+Pt7c3WbNmxWKxxPk93nvvPdvl4sWLM2bMGJ577jkCAgLInDlziuNUSimllFJKqZQyNWkPCAjg5MmTtutnzpzhwIED+Pn5kSNHDr766iuaNm1Kvnz5uHnzJuPGjePSpUu8+eabAJQtW5YGDRrQqVMnJk6cSHh4ON27d6dVq1YOqxyfMSOkdht4q9WKv78/GTMmfoj/2LFj7N69m8WLFwOyNv+tt95iypQptqT9wIEDtlF0e7p27Rqff/45mzZt4vr160RGRhIUFMT58+ft8vyGYdhGpgHWrVvH8OHDOXr0KP7+/kRERBASEkJQUFCcGgUP27dvH4MHD+aff/7hzp07tqJ458+fp1y5cnaJVSmllFJKKZV6AgPhm288eOopU7ub25WpSfvevXupVauW7XrUOvN27doxceJEjh49yrRp07h58yY5cuTgueeeY+vWrZQvX972M7NmzaJ79+7Url0bDw8PWrRowZgxYxwWs8UCmTI57OnjZbVCZKS8dmJNmTKFiIiIGCcvDMPAx8eHsWPHkjVrVjJkyJDkWDw8PGyVzqPErnrYrl07bt26xejRoylSpAg+Pj5Uq1bNboX8jhw5QrFixQA4e/Ysr776Kl27duWrr77Cz8+Pbdu20bFjR8LCwhJM2gMDA6lfvz7169dn1qxZ5MqVi/Pnz1O/fn3TCw4qpZRSSimlks4w4P33Ye5cTypXfg536S5tatJes2bNOAngwxYtWvTY5/Dz82P27Nn2DMvlRUREMH36dEaOHEm9evVi3Pf6668zZ84cunTpwlNPPcX69evp0KFDvM/j7e1NZGRkjNty5crF1atXY4x2HzhwIMZjtm/fzvjx42nUqBEAFy5c4ObNm3b53TZs2MC///5Lnz59ABktt1qtjBw50rb+ff78+Y/9PY4ePcqtW7f45ptvKFSoECAnkZRSSimllFKuadQomDsX0qUzaNbsBJDD7JDswn3mDCib5cuXc+fOHTp27MiTTz4Z41+LFi2YMmUKAIMGDWLOnDkMGjSII0eO8O+//zJixAjb8xQtWpQtW7Zw6dIlW9Jds2ZNbty4wbfffsupU6cYN24cf/75Z4zXf+KJJ5gxYwZHjhxh165dtG7dOlmj+qGhoVy9epVLly7x999/8/XXX/Paa6/x6quv0rZtWwBKlixJeHg4P/30E6dPn2bGjBlMnDgxxvMULVqUgIAA1q9fz82bNwkKCqJw4cJ4e3vbfm7ZsmUMGzYsyTEqpZRSSimlzLdhA3z0kVweOdJK+fK3zQ3IjjRpd0NTpkyhTp06ZM2aNc59LVq0YO/evRw8eJCaNWuyYMECli1bRsWKFXnllVfYvXu37bFDhw7l7NmzlChRgly5cgFSR2D8+PGMGzeOp59+mt27d9O/f/84r3/nzh2effZZ2rRpQ8+ePZPVRm3VqlXky5ePokWL0qBBAzZu3MiYMWNYunQpnp6egBTOGzVqFCNGjODJJ59k1qxZDB8+PMbzvPDCC3Tp0oW33nqLXLly8e2335IrVy6mTp3KggULKFeuHN988w3ff/99kmNUSimllFJKmevcOWjZUpYVt28PXbpYzQ7JrizGo+anpxH+/v5kzZqVe/fuxdun/cyZMxQrVszWSzu1RRWi8/X1TbBFmnJdISEhnD59mjNnzlCvXj2nbkuhki88PJyVK1fSqFEj3cZuSrex+9Nt7P50G6cNup3dS3AwvPgi7N8PlSrBtm3g6eka2/hReejDNANUSimllFJKKeVyDAM6d5aEPWdOWLQITBpndShN2pVSSimllFJKuZyffoKZM8HTE+bPh8KFzY7IMTRpV0oppZRSSinlUjZvhgcdw/n+e3iok7jb0aRdKaWUUkoppZTLuHAB3nwTIiOhdWvo1cvsiBxLk3allFJKKaWUUi4hJARatIAbN6BiRZg0CSwWs6NyLE3alVJKKaWUUko5PcOAbt1gzx7w85PCcxkzmh2V42nSrpRSSimllFLK6U2cCL/9Bh4eMHcuFCtmdkSpQ5N2pZRSSimllFJObfv26LXr33wDdeuaG09q0qRdKaWUUkoppZTTunwZ3ngDwsOhZUvo39/siFKXJu0qxdq3b8/rr79uu16zZk169+6d6nFs2rQJi8XC3bt3U/21lVJKKaWUUvYXGioJ+9WrUKEC/Pqr+xeei02TdjfVvn17LBYLFosFb29vSpYsydChQ4mIiHD4ay9atIhhw4Yl6rGpnWgXLVrU9nfJkCEDRYsWpWXLlmzYsCHJzxX7ZIVSSimllFLKvnr1gh07IFs2WLwYMmUyO6LUp0m7G2vQoAFXrlzhxIkT9OvXj8GDB/Pdd9/F+9iwsDC7va6fnx9ZsmSx2/PZ29ChQ7ly5QrHjh1j+vTpZMuWjTp16vDVV1+ZHZpSSimllFLqgV9+gZ9/lpH12bOhRAmzIzKHJu3JFRiY8L+QkMQ/Njg4cY9NBh8fH/LmzUuRIkXo2rUrderUYdmyZUD0KPFXX31F/vz5KV26NAAXLlygZcuWZMuWDT8/P1577TXOnj1re87IyEj69u1LtmzZyJEjBx999BGGYcR43djT40NDQ/n4448pVKgQPj4+lCxZkilTpnD27Flq1aoFQPbs2bFYLLRv3x4Aq9XK8OHDKVasGBkyZODpp5/m999/j/E6K1eupFSpUmTIkIFatWrFiPNRsmTJQt68eSlcuDA1atRg0qRJDBw4kC+++IJjx47Zfs+OHTvaXr906dKMHj3a9hyDBw9m2rRpLF261DZyv2nTJgA+/vhjSpUqRcaMGSlevDgDBw4kPDw8UbEppZRSSimlYNcu+PBDufzll9CwobnxmEmT9uTKnDnhfy1axHxs7twJPzb2u69o0TiP8fD1tUvIGTJkiDGivn79eo4dO8batWtZvnw54eHh1K9fnyxZsrB161a2b99O5syZadCgge3nRo4cydSpU/n111/Ztm0bt2/fZvHixY983bZt2zJnzhzGjBnDkSNH+Pnnn8mcOTOFChVi4cKFABw7dowrV67YEuPhw4czffp0Jk6cyOHDh+nTpw/vvvsumzdvBuTkQvPmzWnSpAkHDhzg/fff55NPPkn236ZXr14YhsHSpUsBOWlQsGBBFixYwH///ccXX3zBp59+yvz58wHo378/LVu2tM1muHLlCi+88AIgJwWmTp3Kf//9x+jRo5k8eTI//PBDsmNTSimllFIqLbl6VVKqsDBo3hwGDDA7InOlMzsA5XiGYbB+/XpWr15Njx49bLdnypSJX375BW9vbwBmzpyJ1Wrll19+wfKgusNvv/1GtmzZ2LRpE/Xq1ePHH39kwIABNG/eHICJEyeyevXqBF/7+PHjzJ8/n7Vr11KnTh0Aihcvbrvfz88PgNy5c5MtWzZARua//vpr1q1bR7Vq1Ww/s23bNn7++WdefvllJkyYQIkSJRg5ciQApUuX5t9//2XEiBHJ+hv5+fmRO3du22i9l5cXQ4YMsd1frFgxduzYwfz582nZsiWZM2cmQ4YMhIaGkjdv3hjP9fnnn9suFy1alP79+zN37lw++uijZMWmlFJKKaVUWhEWBm++CZcuQdmyMHVq2is8F5sm7ckVEJDwfZ6eMa9fv57wYz1iTXaIZ4q31WqFyMjEx/bA8uXLyZw5M+Hh4VitVt555x0GDx5su79ChQq2hB3gn3/+4eTJk3HWo4eEhHDq1Cnu3bvHlStXqFq1qu2+dOnSUbly5ThT5KMcOHAAT09PXn755UTHffLkSYKCgqgbq/liWFgYzzzzDABHjhyJEQdgS/CTyzAM28kKgHHjxvHrr79y/vx5goODCQsLo2LFio99nnnz5jFmzBhOnTpFQEAAERER+NpptoRSSimllFLurF8/2LYNfH1hyRJw4lJZqUaT9uRKStnClD7WagV//8Q/xwO1atViwoQJeHt7kz9/ftKli7m5M8V6rYCAACpVqsSsWbPiPFeuXLmS/PogU/KTKuDBCZEVK1ZQoECBGPf5+PgkK47HuXXrFjdu3KBYsWIAzJ07l/79+zNy5EiqVatGlixZ+O6779i1a9cjn2fHjh20bt2aIUOGUL9+fbJmzcrcuXNtMwKUUkoppZRS8Zs6FcaOlcszZ0KpUqaG4zQ0aXdjmTJlomTJkol+/LPPPsu8efPInTt3giPD+fLlY9euXdSoUQOAiIgI9u3bx7PPPhvv4ytUqIDVamXz5s226fEPixrpj3xoJkG5cuXw8fHh/PnzCY7Qly1b1lZUL8rOnTsf/0smYPTo0Xh4eNhauG3fvp0XXniBbt262R5z6tSpOLFHxpoB8ddff1GkSBE+++wz223nzp1LdlxKKaWUUkqlBXv3QpcucnnwYGjSxNRwnIoWolM2rVu3JmfOnLz22mts3bqVM2fOsGnTJnr27MnFixcBKdj2zTffsGTJEo4ePUq3bt0e2WO9aNGitGvXjvfee48lS5bYnjOqoFuRIkWwWCwsX76cGzduEBAQQJYsWejfvz99+vRh2rRpnDp1ir///puffvqJadOmAdClSxdOnDjB//73P44dO8bs2bOZOnVqon7P+/fvc/XqVS5cuMCWLVvo3LkzX375JV999ZXtJMcTTzzB3r17Wb16NcePH2fgwIHs2bMnzu928OBBjh07xs2bNwkPD+eJJ57g/PnzzJ07l1OnTjFmzJjHFupTSimllFIqLbtxQwrOhYZKsj5woNkRORdN2pVNxowZ2bJlC4ULF6Z58+aULVuWjh07EhISYht579evH23atKFdu3a2aePNmjV75PNOmDCBN954g27dulGmTBk6depE4IM2dgUKFGDIkCF88skn5MmTh+7duwMwbNgwBg4cyPDhwylbtiwNGjRgxYoVtunrhQsXZuHChSxZsoSnn36aiRMn8vXXXyfq9/ziiy/Ily8fJUuWpE2bNty7d4/169fz8ccf2x7zwQcf0Lx5c9566y2qVq3KrVu3Yoy6A3Tq1InSpUtTuXJlcuXKxfbt22natCl9+vShe/fuVKxYkb/++ouButdRSimllFIqXhER0LIlXLgg0+FnzIhb9iutsxgJVRBLQ/z9/cmaNSv37t2LMy08JCSEM2fOUKxYMdKnT29KfFarFX9/f3x9ffHQd7DbCQkJ4fTp05w5c4Z69erh5eVldkjKAcLDw1m5ciWNGjXSbeymdBu7P93G7k+3cdqg29m59O0LP/wg3a5375aK8SnlKtv4UXnowzQDVEoppZRSSimV6mbNkoQdYNo0+yTs7kiTdqWUUkoppZRSqerAAejUSS5/9pmsaVfx06RdKaWUUkoppVSquXULmjWD4GBo2BCGDDE7IuemSbtSSimllFJKqVQREQGtWsHZs1CihEyR9/Q0Oyrnpkl7Imm9PuUo+t5SSimllFJpxWefwbp1kDEjLFkC2bObHZHz06T9MaKqDQYFBZkciXJXUe+tyMhIkyNRSimllFLKcebPh2+/lcu//QZPPmluPK4indkBODtPT0+yZcvG9evXAellbrFYUjUGq9VKWFgYISEh2vLNjRiGQVBQENevX8fX11dH3JVSSimllNv691/o0EEuf/SR9GZXiaNJeyLkzZsXwJa4pzbDMAgODiZDhgypfsJAOV62bNnIkSOH2WEopZRSSinlEHfuSOG5oCCoWxe+/trsiFyLJu2JYLFYyJcvH7lz5yY8PDzVXz88PJwtW7ZQo0YN23R95R68vLzw9PQ05X2llFJKKaWUo0VGQuvWcOoUFC0Kc+Zo4bmk0qQ9CTw9PfE04R3m6elJREQE6dOn16RdKaWUUkop5TIGDYI//4QMGWDxYtAJpkmnC6SVUkoppZRSStndokXw1Vdy+ZdfoGJFU8NxWZq0K6WUUkoppZSyq//+g3bt5HKfPvDOO+bG48o0aVdKKaWUUkopZTf37knhuYAAqFkzus2bSh5N2pVSSimllFJK2YXVCm3awPHjUKiQ9GZPp5XUUkSTdqWUUkoppZRSdjFsGPzxB/j4SOG5XLnMjsj1adKulFJKKaWUUirFli2DwYPl8sSJUKmSqeG4DU3alVJKKaWUUkqlyLFjMi0eoHt3aN/e1HDciibtSimllFJKKaWS7f59KTzn7w8vvQSjRpkdkXvRpF0ppZRSSimlVLJYrdLa7cgRKFAAFiwALy+zo3IvmrQrpZRSSimllEqWb76RgnPe3rBwIeTJY3ZE7keTdqWUUkoppZRSSfbnn/D553J53DioWtXceNyVJu1KKaWUUkoppZLk5El45x0wDPjgA3j/fbMjcl+atCullFJKKaWUSrSAACk8d/cuVKsGo0ebHZF706RdKaWUUkoppVSiGAZ07AiHDkHevPD77+DjY3ZU7k2TdqWUUkoppZRSifL99zB/PqRLJwl7/vxmR+T+NGlXSiml7GDzZguzZpUhONjsSJRSSinHWLsWPvlELo8ZAy++aG48aYUm7UoppVQKzZgBDRp4smBBadautZgdjlJKKWV3Z85Aq1bSl/2996BLF7MjSjs0aVdKKaVSYPRoaNsWIiMlWdeRdqWUUu4mKEgKz92+Dc89J+3dLHqOOtVo0q6UUkolg2HAF19A795y3cvLMDUepZRSyhEMAzp3hn/+gdy5YeFCSJ/e7KjSFk3alVJKqSSKjIQPP4Rhw+T6sGFQvbok7Ybm7koppdzI6NEwaxZ4ekoBukKFzI4o7dGkXSmllEqCsDBo3RomTJCpgePHw+efR08T1KRdKaWUu9i4Efr3l8ujRsHLL5sbT1qVzuwAlFJKKVcRGAjNm8OaNeDlJQXo3npL7tOkXSmllDs5fx5atpTZZW3aQI8eZkeUdmnSrpRSSiXC7dvQuDHs3AkZM8KiRVC/fvT9WpBHKaWUuwgOlpPUN2/CM8/Azz/r95yZNGlXSimlHuPSJUnQDx+G7Nlh5Up4/vmYj9GRdqWUUu7AMKBrV9i3D3LkgMWLIUMGs6NK2zRpV0oppR7hxAmoWxfOnYP8+WVqfPnyCT9ek3allFKubPx4mDYNPDyk8FyRImZHpLQQnVJKKZWA/fuhenVJ2EuWhO3bE07YdaRdKaWUq9u6NbqV6bffwiuvmBqOekCTdqWUUioeW7ZAzZpw/TpUrAjbtkHRogk/Xtf6KaWUcmUXL8Ibb0BEBLRqBX37mh2RiqJJu1JKKRXLsmWyht3fH2rUgE2bIE+eR/+MjrQrpZRyVaGhkrBfvw5PPQW//KIno52JJu1KKaXUQ6ZNk4q5ISHQpAmsWgVZs5odlVJKKeU4PXrArl1SbHXxYsiUyeyI1MM0aVdKKaUeGDUK2reXnrTt2klbt8RWzNWRdqWUUq5o0iSYPFm+x+bMgeLFzY5IxaZJu1JKqTTPMOCzz6BfP7nepw/8+iukS0KPFZ1GqJRSytXs2AHdu8vlr7+WpWHK+WjLN6WUUmlaZCR06yYjDSAHLZ98kvwkXEfalVJKuYIrV6BFCwgPl/XsH39sdkQqIZq0K6WUSrNCQ+Hdd+H33yVJnzgROndO2XNq0q6UUsrZhYVJon7lirQy/e03nTHmzDRpV0oplSYFBEjBubVrwcsLZs2CN99M/vPpmnallFKuondv+OsvKbS6eDFkzmx2ROpRNGlXSimV5ty6BY0awe7dUiF38WKoWzdlz6kjFEoppVzBr7/ChAnyvTVrFjzxhNkRqcfRpF0ppVSacvEi1KsHR46Anx+sXAlVq6b8eXWkXSmllLPbvRu6dpXLQ4ZA48bmxqMSR5N2pZRSacbx4zKifv48FCgAa9ZAuXL2fQ1N2pVSSjmja9dkWVhYGLz2mnRNUa5BW74ppZRKE/btg+rVJWEvVQq2b7dvwh490q7z5JVSSjmX8HBo2RIuXYLSpWH6dPDQTNBl6KZSSinl9jZtglq14MYNePZZ2LoVihSx72vomnallFLOqn9/2LIFsmSBJUvA19fsiFRSaNKulFLKrS1ZAg0awP37ULMmbNwIuXPb/3V0TbtSSilnNGMGjBkTfblMGXPjUUmnSbtSSim39dtv0KKF9GN//XX480/Hjy5o0q6UUspZ/P03dO4slwcOlLXsyvVo0q6UUsotff89vPceWK3QoQMsWADp0zvu9XSkXSmllDO5eROaNYOQEGlzOniw2RGp5NKkXSmllFsxDPjkE/jf/+R6//4wZQqkc3C/FF3TrpRSyllERMBbb0nx1ZIlpR+7Fp5zXdryTSmllNuIjIQuXeCXX+T6iBHw0UepG4OOtCullDLbJ5/Ahg2QKZPUdsmWzeyIVEpo0q6UUsothIbCO+/AokUymvDzz/D++6n3+jo9XimllDOYOxdGjpTL06ZB+fLmxqNSTpN2pZRSLu/+fVm3t349eHvD7NlSgC41adKulFLKbP/8I/VcQEbbU/u7UDmGJu1KKaVc2s2b0LAh7N0LmTPLNMDatVM/Dl3TrpRSyky3b8sJ7OBgqFcPvvzS7IiUvWjSrpRSymVduAB168KxY5Ajh7R0e+45c2PSkXallFKpLTIS3n4bzpyBYsVgzhzw9DQ7KmUvmrQrpZRySUePykjChQtQsCCsXQtlypgXj06PV0opZZbPP4c1ayBjRplx5udndkTKnrTwv1JKKZezdy9Ury4Je+nSsH27uQk7aNKulFLKHL//Dt98I5enTIGnnjI3HmV/mrQrpZRyKRs2QK1acOsWVK4MW7dC4cJmR6Vr2pVSSqW+w4ehfXu53K8ftGplajjKQTRpV0op5TIWLZKicwEB8MorksDnymV2VDHpSLtSSqnUcPcuvP46BAbKd2LUaLtyP5q0K6WUcglTpsCbb0JYGDRvDitWQJYsZkcVTafHK6WUSi1WK7RuDSdPQpEiMG8epNNqZW5Lk3allFJO79tv4f335SClY0eYPx/Spzc7qph0erxSSqnUMngwrFwp34WLFkHOnGZHpBxJk3allFJOyzDgo4/g44/l+scfw+TJztnGRkfalVJKpYalS2HYMLk8aRI8+6y58SjHMzVp37JlC02aNCF//vxYLBaWLFliuy88PJyPP/6YChUqkClTJvLnz0/btm25fPlyjOe4ffs2rVu3xtfXl2zZstGxY0cCAgJS+TdRSillbxERMrr+3Xdy/dtvZb2es49oa9LuvtavtzBrVhlCQ82ORCmVVh09Cm3ayOWePaMvK/dmatIeGBjI008/zbhx4+LcFxQUxN9//83AgQP5+++/WbRoEceOHaNp06YxHte6dWsOHz7M2rVrWb58OVu2bKFz586p9SsopZRygJAQWb/+66/g4SHr2f/3P7OjejQdaXdvU6dC48aeLFhQms2bnfzMkVLKLfn7S+G5+/ehRg34/nuzI1KpxdRyBQ0bNqRhw4bx3pc1a1bWrl0b47axY8dSpUoVzp8/T+HChTly5AirVq1iz549VK5cGYCffvqJRo0a8f3335M/f36H/w5KKaXsK+qgZONG8PGBuXPlurNz9hkAKvl+/BH69AGQjRwUZGY0Sqm0yGqFtm3h2DEoWFBqu3h5mR2VSi0uVWPw3r17WCwWsmXLBsCOHTvIli2bLWEHqFOnDh4eHuzatYtmzZrF+zyhoaGEPjS3zd/fH5Ap+eHh4Y77BZIpKiZnjE3Zh25j96fbOHFu3IAmTTz5+28PsmQxWLgwkpo1DVzhz2YYFsCDiIhIwsOtZoej7MAwYOhQD776SoooeHkZhIdbCA+PJDxcp1S4I91Xpw2uuJ2/+sqDpUs98fExmD8/Ej8/1/huNIurbOPExucySXtISAgff/wxb7/9Nr6+vgBcvXqV3Llzx3hcunTp8PPz4+rVqwk+1/DhwxkyZEic29esWUPGjBntG7gdxZ55oNyPbmP3p9s4YTduZGDQoBe4fDkzvr6hfPHFDoKC7rFypdmRJc7ly88AhTlx4gQrV540OxyVQlYrTJlSgRUrigPQuvURDhzIxeHDOTlw4CCZMl1+zDMoV6b76rTBVbbz3r15+OqrqgB07nyA69fPu8x3o9mcfRsHJXLqlksk7eHh4bRs2RLDMJgwYUKKn2/AgAH07dvXdt3f359ChQpRr1492wkBZxIeHs7atWupW7cuXjoPxi3pNnZ/uo0f7cgR6N49HZcvWyhc2GDFCg9Kl37R7LCSZOFCmTpdosQTNGpUyuRoVEpEREDnzp6sWCGlf0aPjqRr15LUqSPXy5d/ikaNKpoYoXIU3VenDa60nU+cgHbt0mEYFj74IJKRI58EnjQ7LKfnKts4asb34zh90h6VsJ87d44NGzbESKrz5s3L9evXYzw+IiKC27dvkzdv3gSf08fHBx8fnzi3e3l5OfVGdfb4VMrpNnZ/uo3j2r0bGjWCW7egbFlYvdpCoUKu9zfy9LQ++N8TLy8n7EmnEiUkBN55B5YskdaCU6fCu+96Ap6kSyfb2GLxxMvL6Q+hVArovjptcPbtfP++FGW9dw9eeAHGjNHvl6Ry9m2c2Nicuk97VMJ+4sQJ1q1bR44cOWLcX61aNe7evcu+fftst23YsAGr1UrVqlVTO1yllFJJtG4dvPKKJOzPPQdbtkChQmZHlTxaPd713b8PjRtLwu7jA4sWwbvvRt/v+eBY2aolC5RSDmYY0KED/Pcf5MsHv/8O3t5mR6XMYupp4oCAAE6ejF73d+bMGQ4cOICfnx/58uXjjTfe4O+//2b58uVERkba1qn7+fnh7e1N2bJladCgAZ06dWLixImEh4fTvXt3WrVqpZXjlVLKyf3+u4xohodDnTqSIGXJYnZUKadJu2u6fRsaNpSZH5kzw7JlUKtWzMd4PBjq0KRdKeVoI0bAwoVSIX7hQkncVdplatK+d+9eaj30jRi1zrxdu3YMHjyYZcuWAVCxYsUYP7dx40Zq1qwJwKxZs+jevTu1a9fGw8ODFi1aMGbMmFSJXymlVPJMmgRdukiC+8YbMHOmjGy6Mh1pd12XL0O9enD4MPj5wapVMvMjtqikXbexUsqRVq+GTz+Vy2PHQrVq5sajzGdq0l6zZk2MR3zzPeq+KH5+fsyePdueYSmllHIQw4Bvvok+GOncGcaPj5527Mq0T7trOn0a6taV//PnhzVroHz5+B8btY11pF0p5SinT8Pbb8v35fvvy/ekUk69pl0ppZT7sFqhf//ohP3TT2HiRPdI2AEsFjnRrKOwruPwYaheXQ6SixeHbdsSTtgheqQ9MjJ14lNKpS2BgdCsGdy5A1Wryii7UuAC1eOVUkq5vogIGTGYNk2ujxwJD3XedCuatLuG3btlDfvt2/DkkzLC/rg1o9Fr2nVahVLKvqJG1g8ehDx5ZB27qy8bU/ajSbtSSimHCg6GVq2ksJenJ0yZAu3amR2V/emadtexYQO89hoEBMho1sqVspb9cbR6vFLKUUaNgrlzIV06WLAAChQwOyLlTDRpV0op5TD37klytHmzjBjMnw9Nm5odlWPomnbXsHQpvPUWhIZC7drS3i1z5sT9rFaPV0o5wvr18NFHcvnHH+Gll0wNRzkhXdOulFLKIa5fl5ZZmzdLK7fVq903YQcdaXcFM2ZAixaSsDdrBitWJD5hB03alVL2d+6cnEi0WmUWWrduZkeknJEm7Uoppezu7Fkp8LV/P+TOLYn7yy+bHVXq0KTdOf30E7RtK0Xk2rWTWR9JXS+qSbtSbuCff/Bs3RrfM2fMjoTgYDmBeOsWVKoEEyborC0VP50er5RSyq4OH5ae15cvQ5EisHYtPPGE2VE5no60OyfDgC+/hC++kOu9esnaUY9kDFto9XilXNzFi1CxIh5Asbt34cMPTQvFMKSd2/79kDMnLFoEGTKYFo5ycjrSrpRSym527pS1eJcvQ7lysH172kjYQUdHnJFhQL9+0Qn74MHwww/JS9hBC9Ep5dIMQxqgP+AZHm5iMDL7Z+ZM2a/Mnw+FC5sajnJymrQrpZSyizVrpLBXVH/ZrVvTVvVbHWl3LhER0LGjJOkgxZ0GDUrZyRWdHq+UC7NYYPRo29UIE4e1N2+Obnv6/fdS/0WpR9GkXSmlVIrNnw+vvgpBQTI1ft26xLXQckeatJsvNFQKO/32myTaU6fKtPiU0qRdKRf37LPRU29M2llfuABvvinLbN55xz77JuX+NGlXSimVIhMnSh/28HBo2RL++CNpFbndhY60O4fAQGjSRNaHenvD779L4Tl70KRdKRe0cCHs3h19PbnrY+wgJEQ6WNy4AU8/DZMn69IqlThaiE4ppVSyGAZ8/TV8/rlc79IFxo6NXveb1uiBl/nu3IHGjWHHDsiUSXqw16ljv+f38JAzMlqITikXsWsXtG4tO+jt22WkvV07IqpX59Tx4xRMxVAMQ9q57dkjM9EWL4aMGVMxAOXSNGlXSimVZFarFPj68Ue5PnAgDBmiiSvoSLtZrl6F+vXh4EHInh1WroTnn7fva+hIu1Iu5MIFeP11WS/TpIkMbQMULYpRoACBAQGpGs7EidFLdubOhWLFUvXllYvTpF0ppVSShIdLga8ZM+T6jz/qmjzQ6fFmOnsW6taFkychb14pilihgv1fR6vHK+UiAgOhaVM5m1ehAsyaZeo0sO3boWdPufzNN7K/UiopNGlXSimVaMHBsm59+XI5/vntN2jTxuyonIMm7eY4ckQOgC9dkpGrtWuhRAnHvJaOtCvlAqxW+WI6cABy5YJlyyBLluj79+zBY/t2ct6/D40aOTycy5fhjTeko0XLltC/v8NfUrkhLUSnlFIqUe7elenHy5dD+vSyXlgT9mi6NCD17d0LL70kCXu5ctJm0FEJO2jSrpRL+OILWTDu7S3/Fy0a8/7Vq/Hs04cCW7c6PJTQUEnYr16FJ5+EKVP0u0Ilj460K6WUeqyrV6FBA/jnH/D1lcT9pZfMjso56Uh76ti8WZap3r8Pzz0Hf/4JOXI49jU1aVfKyUVGwuHDcnnSJHjxxbiPScWsuVcvKYyZLZucP0iLnVWUfWjSrpRS6pHOnJHpx6dOQZ48sGoVVKxodlTOR6fHp57ly6XPcUgI1KoFS5fGnP3qKFFJu1aPV8pJeXpKi7c1a+RM8yNYHLyznjwZfv5Zvhtmz4aSJR36csrN6fR4pZRSCTp0SAYqTp2SGYbbtmnCnhBN2lPH7NnQrJkk7K+9JlXiUyNhh+ikXbexUk7m7t3oD6aHx6MT9lQYad+5E7p3l8tffgkNGzr8JZWb06RdKaVUvHbskCnwV67IWrzt23Wk4FF0naLjTZgA774rBZ3atIHff5f6CqlFp8cr5YQCAqBmTdkphIQ8/vEOPsN69Sq0aAFhYXKCccAAh7yMSmM0aVfKbFYrltmzU6UgilKJtWoV1KkjgxfVqsGWLZA/v9lRqbTKMGD4cOjWTS537w5Tp0K6VF7kp0m7Uk4mqlL8P/9I64gbNx7/Mw48wxoWJkt3Ll+GsmVh2jQ9oavsQ5N2pcx06RLUqEG69u159ocf5GyxUiabM0cKfAUFyQzDtWshe3azo3IdOnXavgwDPv4YPv1Urg8cCGPGRCfQqUmTdve3erWFGTPKEhFhdiQqUQYOlFYm3t7yf6FCpobTr58sI/P1lcJzqbV0R7k/LUSnlJmyZoULFwDwsFqJDA01OSCV1o0fL6OYhgFvvy2jmd7eZkflGnRNu/1FRkLXrlLQCWDUKOjTx7x4NGl3bxs3QrNmnkRElKJLlwjq1DE7IvVIM2fC11/L5V9+kWlhifHmm0SUL8/p06ex5wSyqVNh7Njo0EqXtuOTqzRPR9qVSm3Hj0cf8WXODPPnR9+nR/vKJIYBQ4fChx/K5Q8/lIMOTdgTT6dA2ldYGLzzjiTsHh7S39jMhB20erw7O35c1iFHRMgHOTFLo5WJduyAjh3l8oABMkU+sUqUwGjQAP/Y/dtTYO9e6NJFLg8eLLPVlLInTdqVSi1hYbInf/JJmDgx+vYqVaIva9KuTGC1Si/ZQYPk+qBB8NNP5kw/dgf6MU65oCCpDD9/Pnh5yf/vvWd2VNJNCnSk3d3cvi1J1p070bfp59iJhYRAy5ZyXPX661Ke3UTXr0Pz5hAaKu+jgQNNDUe5KT0kUyo17NkDlSvDkCEQHi5niKM8PDynRwkqlYWHQ9u2kqSDrBUePFhHjZNDp8fbx927UK+eFEPMmFF6srdoYXZUInp6vH5A3EV4OLzxhoy0Fy4MxYrpB9jppU8P06fDK6/AjBlJP8N86BCWqVPJcfhwikOJiIC33pKVjqVKJS8cpRJD31ZKOVJwMHz0ETz/PPz7L+TMCXPnypeNUiYLCpJBilmzpAr3zJnQo4fZUbkuTdpT7vp1qFVL2gtmyyZFEOvVMzuqaLqm3b0YhnQk2LhRVqv98Qdkz27Y7lNOrFYtWLdONlxSrVpFus6dKbJ2bYrD+Ogj2LRJwli8WEoVKeUImrQr5Si7d8PTT8N338kR3ttvw3//ySnZWMOY4cHBLF20CHLlMilYldZEjWauXAkZMsDSpdC6tdlRuTadnZAy58/DSy/BgQOQJw9s3gwvvGB2VDFp0u5efvhB6pd5eMj59Kee0pNvTu2HH+DIkejrJu90Z82SkEBau5UrZ2o4ys1p0q6Uo3h6wunT0tx62TKYPTvhpNzTU44a9KhfpYIrV+Dll2OOZjZqZHZU7kMP9pPu2DGoXl2mKBcpAlu3SgLlbLQQnfv44w/o318ujxwJjRvLZU3andSMGdC3r1SIv3YtZc9lh428fz906iSXP/tM1rQr5Uja8k0pezp3To44ASpVkupJr7wimZFSTuD0aahbV/7PmxdWr3bO5MgV6cF+8uzfD/Xrw40bUKaMnEQqWNDsqOKnI+3u4Z9/ZPKbYcAHH0ghzij6OXZCf/0F778vlz/8UKbipEQKB0hu3ZIkPTgYGjaUckVKOZqOtCtlD3fuSGnjUqXg0KHo25s3T1TC7tmmDZW/+y5m6Vql7OzgQXjxRUnYixeHbds0YbcnPdhPuq1boWZNSdgrVYItW5w3YQfdxu7gyhWp8B0YCLVrSxHO+HI43cZO4tw5aNZMKsU3awbDhtnvuZOxkSMioFUrOHsWSpSQKfJRXSWUciQdaVcqpZYuha5d5UjAYoENG6StWxJYfv+dApGRhAcHOyhIldZt3y7TP+/dgwoVZIQ9Xz6zo3Ivurolaf78U6rCBwdDjRoyXdnX1+yoHk23sWsLDpbimxcuQOnSsGCBtBR8mG5jJxIQAE2bSoXKihWliK89SrOnYCN/9pnUv8uYUQrPZc+e8nCUSgwdaVcquW7ckNOtr78uCXvp0jJs1LNn0p9Lh2+UA61cKVPi792TkfbNmzVhdyT9GD/evHlyLB4cLCeTVq1y/oQdIKP/VRqyEsOqG9nVWK3Qvr3UiPXzk1aC8SVc+nXsJKxWqY568KBMh1+2LHmV4uPzYCNbkriR58+Hb7+Vy7/9JifAlRM6d84tP8CatCuVHAsWSJnQefNkXtQnn0jJ4xdfTN7z6VFC2nH2LFStKu+hVDBrFrz2miRHjRrBmjU6MuAo+jFOnMmTZT1xRAS8846MVmXIYHZUiXDzJl2GFWIa7Sh6Z7/Z0agkGjJEki4vL1i0CEqWjP9x+jl2EoGBcqbZx0dmNBYqZL/nbtyYiDlzONWkSaJ/5N9/oUMHufzRR9Cypf3CUXYUFiZVTStWhJMnzY7GrjRpVyo5zp2DmzdlQfCuXTB8OKRPn/LnDQiQecxa5chteX74oQz1pMI3/k8/wbvvSnLUujUsWSJT+pRj6LTax/v2W+jcWRKirl2lIHTs6clOKTISWrfGYhgcpxRns1U0OyKVBLNmwdChcvnnn6V7RkI0aXcSWbLIWeaNG+VEtz098QRGixbcLVUqUQ+/c0cmVQYFyay1r7+2bzjKjmbMgIsXZTasMxdISQZN2pVKDMOAq1ejr/fpAxMnwp49Uj0ppR4cJaSrXVvOEE6alPLnVM4pFYoNGgYMHhy9UqNHD1kK6BLJkQvTg/2EGQYMGAAffyzXBwyAcePsszw1VQwZAmvWEO6VgS5MxKqHTy7jr7+kTizICGnUaOnj6OfYJNevR1/29pYWbyZ6cL6O06ehaFGYM0cLzzmtiAj45hu53L+/fQbTnIh+6yj1OGfOQL16cmo+qlCcp6f0ifH2ts9rRK2vunFDrk+bZp/nVc7HwUeCVqsk6VEtaIYOhdGjXSg5cgN6sB+T1QrdukUfS337rYxUuczMhBUrbBWr1731M4eooNvYRZw9KyOkYWHy//Dhj/8Zl3lfuqNz56SQb58+koA5yokTWObPJ/vRo4996KBBUjQzQwZZypMjh+PCUin0++8yJd7PT6Z0uZlkVY+/e/cuu3fv5vr161hjTeNt27atXQJTynRWqwwFffKJzIlKn15G1mvUsP9rxT5K0KMGtzNzpoVffqnMKy/UIcu+fdIrxs7CwqTQ0pw58hYaO1aSJZU6dKQ9rvBwaNcu+j3588/QqZPZUSXBmTPQpo1c/vBD8h3czVZ+Zu21IUBtU0NTj+bvD6++KrNkn3kGZs5M3MnLqM/xvn0Whg2D776DBg0cG6sC7t+XXnw3bsCmTRAaCukc1ORq9WrS9ehBiRdfhL59E3zYokXw1Vdy+ZdfZJm0clJWa/S6hd69pWhheLipIdlbkj8Nf/zxB61btyYgIABfX18sDyUXFotFk3blHo4dg44dZX05SKL+yy/wxBMOebmIS5dYs2YNjd9+W24oW9Yhr6NSn9UKn38Ow4enAwqwu3JVateuDS+9ZNfXCQyEN96QKtzp0sl0+Ki3k0odeq4tpuBgePNNGaj28pKkyaWKN0VEyIfqzh1ZUztyJDmfrEdFtrMr7IbZ0alHiOqlffiwdMpYtgwyZUrcz0Z9jr/9VuZAN2yoJ+IcLmoO+r//Qt68SdtgKfGIDfvff3LCEWTg/513HB+OSoHly+X9kyULdO9udjQOkeQJk/369eO9994jICCAu3fvcufOHdu/27dvOyJGpVJPZCSMGAFPPy0Je+bMMH68FEJxUMIOQJYsRGTIgLVpU7lu76IryhShoVII7uEpmWefaiJNXgcNstvr3L4txXFWrZIpfH/8oQm7Garu+omdVCVz4DWzQzGdv7+MTq5YIe/JZctcLGEHOfv18cdQrJh0e/DxAXQ6hSvo3z96SvOyZUmrR6Un30zw6afyxeXjIxVT7VkpPj6P2cj37slyioAAqFkzus2bcmKLF8v/3bq5bYucJI+0X7p0iZ49e5JRSxArd+ThIQl6aKgccf78MxQunGovb23aFI9SpaQqvXJpt29Ds2awZYsc++fIYXDtmgXfK8dg0nY5KGnYMMWvc/ky1K8Phw7J99SKFabX7Umb1q2j4ao+ABy8tB5oY248JrpxQ3aff/8tvddXrJD6mi6pZUv5ID+o4mhEza/WpN1pTZggdTxAZhxVrpy0n9ekPZVNnRqz+XlqDFo8YiNbrbIi5sQJ+ZqeP99xs/SVHf36q8yMSuoH3oUkeaS9fv367N271xGxKGWOsDA5nQqyI580Sb5EVq5MtYTdo0cPnhkzBuO552Qe1tNPp8rrKsc4cwZefFESdl9fGfGpVEkO8nOd2ilFDMeOTfHrnDwpydChQzIFdMsWTdhNceOGbd3zOQpzJN8rJgdknosXZTXR339DrlyyNNXlEvZDh+DKlejrMdouyMG+h6FtOZ3R2rVSiBNkLfIbb5gbj3qMy5ehSxe5PHBgqk8Rs8Rz8m3YsOhB/0WLZD+mXIDFAo0bQ548ZkfiMEk+d9S4cWP+97//8d9//1GhQgW8YvUQaho1vVcpV7B7t/SCqVYNJk+W2woXjl7IlEo8Zs2icEAAxuuvS8Y3a5YuoHJRe/ZI8aPr12VK5sqVUKEC/PCD3F9u00S5sHJlil7nn39khP3aNalpt3atzOJVqcwwpPrf1avcyFWOsjf28HZG92ozk1gnTsgyjXPnZIRq7VooXdrsqJLo9m0phhUcLOtNYlWe0pF253XkiNRQiIyUc2gDBiTveXSkPRXlzw+zZ8PSpdKnNLUkUDV02bLoMCZOdOtBW/dx4QJkyyZr2d1ckpP2Tg/Kvg4dOjTOfRaLhcjIyJRHpZSjBQXJmuJRo2Qu1I0bspbdz8+ceKK+QKJ6wUeN/CuXsmyZDBQEBcmx/ooVckwC0ZvYMzw0xa+zdavkFffuyaSM1avd+uSycxszRk7A+PiwqOUsgsdlxEiDo7APn0QqVUoS9lRcWWQfUfNiz56F4sWlKXMcD9pzpsFt7Mxu3pSTpffuySynyZOTn3xr0p7KmjeXf6nIP8CCL/Bwyn7sWHSjiO7d5VyscgEffgjbtskMWTcfOE7y9Hir1ZrgP03YlUvYskUyne+/l4O0d9+VMqFmJewQ3ac9qg/87NnmxaKSZdw4WfoaFCTrebdsiU7Y4eEDwZSN0C1fDvXqycHpSy/J9GNN2E1y5Ah89JFcHjWKLPcv8x5TyHXvpLlxpbK//pJiTdeuycmqrVtdMGEHmU+9cqW091y4UEZvYonwyYQ/WYhIXsdc5QChoZLznT4ts40WL35QMzCZtAOrg0VGSqXA8+cd/lLBwbBvn+RzffvKTKC8eeG5j2rRjqnM9pOBSH9/KTzn7y/fq6NGOTw0ZQ8HD8pahrt3oUwZs6NxOP3WcRGRkVCtmidhYZIMxHMsoR7n/n2pBDxhglwvUEAKzTVubG5c8dGjBJdhtUreNnKkXH//fWk4EGvlUPQmTcG02hkzoEMH2R+8+qoUyMmQIdlPp1KqVClZh3ngAHTtyvOj6vEO65h0fSpQyuTgUseaNdEnq6pXl+Mnl/x+Wr06uqPDhAkJNmRe/cECunVLR9OCVvqnXnQqAYYhJUK2bpX6IcuXp3wNcuyv3/Rpc7WL43zyiXxhLlwIR4+m7AzLA1arTJA5eFC6fv37r1w+cULui+0apTlOaRpxmt5IKaGjR+VE+/z5cb+/lZOKas3z5pvyfezmkpW0b968me+//54jR44AUK5cOf73v//xkp37DqtoHh6wf78Fq1UOjlzyoMhsoaHw++9yuVMn+O47yJrV3Jii6Kl9lxQSAm3bSjcokIG6AQPi33zRSXvyXmv0aOjdWy63aQNTpuiBhek8PeHzzyVzsFhSvpFdzO+/S+mN8HCZXbJwIbhkY5lz5+QXMQzo3DlR82J1SbtzGDECpk2Tj+L8+VCunP1fQ5N2O/rtN5nlCJJwJSNhv307ZmL+779SOzKhVYU5ckhDngoVov9fsEDCMAzZZ2/aJI+dMEFG4pULOHFCPvQgLQPTgCQn7TNnzqRDhw40b96cnj17ArB9+3Zq167N1KlTeUeLZzmExSJfHEFBknuqRLp/X3qtWyyQM6d8YaRPD7Vrmx1ZTJq0u5ybN+G112RqsJeXTL971O4vapPGV632UQwDvvgCvvxSrvfuLYMUHkle3KTsZs8eOfKLOpp/sHGNBIobuaNff5Vzn1ardEWbMQO8vc2OKpk+/1wygUqVonuFJSANbWKnt2hRdLG50aOlpoI9xP76tcNAsAKZDvHBB3L5iy+gVatHPjwsTEa/oxLzqP8vXYr/8d7ectLm4eT8qackCY+9TbfNPs+r/EOJu5FAQdvtuXOn4PdTqWvECPkCatw4zXRcSnLS/tVXX/Htt9/Sp08f2209e/Zk1KhRDBs2TJN2B/LxkaQ9JMTsSFzE4sXQtasUimrZUm5zxqnwoEm7izl1Slqsnzghs14WL5Y1vY8StUkvlXwJv6v/JWpIKDJSCuJMfFBw/ssv5YSyvj1MdPo01KkDRYrIlOp8+aLvSyMZ3ahR0K+fXO7USUanPD3NjSlFJkyQKQIDBjx2WLXy8qGsYhc7rvcEnPT7JA3Yt0/K0YDsIz/80H7PHXv/qj267eD0aVlHEx4uffiilqIgu8sLF+KOnh89ChER8T9dkSJxR8+feCLxs89KnlpNXzqz41QdoLG777Ldz4ULMH26XP7sM3NjSUVJ3hWdPn2aJk2axLm9adOmfJpGpieYJepYQkfaH+PaNWnUGjVnedw4We/ixJlOxL//sn7dOhpETcssUsTUeFTCdu6Uyu03b8pm+vNPKFv28T9naxBQpCoVIg/KkzxCWJhMvZ83T352/PjodrbKJOHhMp3C318W0MZZPOveSXvsWR8ffQTffOPUu9bEyZxZ6pskQs4LB6jMGo4Hp261axXt0iUpEh0cLKPrUe007cXl38/Oxt9fvu9u3SKyYiX2dJ3GgUkeMRL0e/fi/1Ff37jJ+ZNP2mFlY1Tx31j7at32LmL9ejmjU7OmtGxOI5KctBcqVIj169dTsmTJGLevW7eOQoUK2S0wFVdU0q4j7QkwDKm63rOnTHX09JTCcwMHOv+eOHduQrNlw9qiBR4LF8Izz5gdkYrHokXQurV8BitVkqJHiV3/FvUWPFKlLXVndnjkYwMDpRrymjUycjBzZvRkEWWiQYNg1y6ZXjFrVtwhuAQOBN2B1Qq9esHYsXJ9+HCpJ+Wy/vkH1q2TktJJ+X6wzabQlm9mCAyUhP3yZZmsNG+e/UfCdeJbykVEwPHjkpCf2R5Ay4veZPLMx7MHlnK5dtzCF+nSQenScRP0QoUc+/e3PKg/4oa7bPfWvj288EKaS4iSvKvr168fPXv25MCBA7zwwguArGmfOnUqox+zFkylTNR6QR1pj8elSzIMuXy5XK9YURZduljya61bF4/cueVUsnIqP/4ox/eGIZXb58yRAbrEijrwyHzzLMzaKdl+PLUVbt+WVRw7d8qM3cWLpcWbMtn69TKsDNIEOp7ZMO66pj08HN57T04eWSwyealrV7OjSoG7d6FFC1nnEhEhJ3cTyXhQTMIdT8w4O6tVinD+/beUqFm+3DG1ZDVJTzzDgKtXY05rP3hQumFGH6vmZxjbKMx5LlOAAgUkIX84OS9TJpVrBySwkXXbu5A0UC0+tiQn7V27diVv3ryMHDmS+Q+q9pUtW5Z58+bx2muv2T1AFU1H2h/h6FH5Bvf2lvmbH33kUqW1PT77jAqHD2N8+60UZ8mUyeyQ1AORkZKsjxkj16PKJCR1dCfqYCDf2Z0w7F1J2GMl7ZcuyXTPw4che3ZpGf3883b4JVTK3Lgh2UJUdfE33oj3YbtqfcwnRztQMI9rnSx8lJAQeOstWLZM3vPTp8Pbb5sdVQpYrdCunSTsRYrIovykiJpNkUY6BDiTzz6Tk5je3rBkifRkV6knMFC+mx5O0P/9V5aKxadUhgtkf6rQg8Q8E089VZYKFcDPL3XjjlesTh96Ds5F3Lsn38exZnunFcmaVNSsWTOaNWtm71jUY1QJ38ZHTIDL3wP5zQ7HfCEh0WcyateWFm6NGjmm54uDefz2G8Vv3sTYsEF+rxUr5HdRpgoKkunwS5bI9W+/hf79k3c2Pupnnt34YAHm+vUx7j9xAurWle5T+fPL1Pjy5ZMfu7KjXr3gyhUpXvCIBbSXi73IQjx5O5N7TJ2+f186JGzcKLva33933lqeiTZihJyB8PGRHnVJzCAMi460m2Hq1OiJLlOmwIsvOu610vpoa2Sk1I2LPXp+6lT8ya2HhxSBe3jk/LngLeTvUA9Lk4FOWT01elZUzNudLEwV27hxsuR1wIDo4ippiNbEdCGT/qsBwNmpXtBhmsnRmCgyUhZWDh8u60ujpqn2729uXCkRNXoTNY1Cp1OY7vp1WTu5a5cc30+fnrJ15VEHA94h/nHu279f+lxfvy4HP2vWQNGiyX8tZWfffCNn90eOfGQjcnc64Lt1Szok7NkDWbLAH3/Ayy+bHVUKrV8v7d1AvkMqVUr6c7jpEghntnWrTHABGW2PqhrvKF2O9OJL/qI+q7lFTse+mMlu3ozbUu3QISnyF5/cueO2VCtXDjJkeOhBp09DleYyP/7gwVT5PZIq9q5aP84uIDBQTppbrYmr/uuGEpW0+/n5cfz4cXLmzEn27NmxPOLI5Pbt23YLTsW0N0c9Kt9aw8XStSlqdjBmOXIEOnaEHTvk+s8/w9dfmxuTPcT+TE2ZIpXIlCmOH5eE5fRpGYhbuhSqV7fXs8c8Oti8WU4O+PtLCYZVq7RXrNMpXBjWrn3sw/Kf2c5bXCa3/7OA6663u3RJ6ij89x/kyCGd7ZKT3zqVixdlXr/VCh06yPdIclg8iMTDvrGpBJ06FbNT2NChjn/NZ2+upRDHqMta5uLKa0GihYTI4dPD09oPHpT16PFJn15mej2coFeoAHnyPOaFHqoUT+XK8NtvTnk282KhanRlPDkK+vDsQ7c7Yagqyi+/yFmm4sVlzVYalKik/YcffiBLliy2y49K2pXjZLQGAhDsmYTqV+4iPFymvw8ZIr2wsmSR60ldj+istFyt09i2TaYE374t3w0rV0pV25SK2qQWa/TU6WXLZPQ+NFRGMZcudUxhJZUMgYHw11+yZiGRntvyA++whF+ujsNVk/ZTp+RXPnMGChSQcxVuMaixcyfcuSNFSseNS/Y+duMHs3h/zzzqF7bSzb4Rqlju3pWin1H537RpMhXbIYKCbLNo/sv+IoUCj1GaY4BrfR0bhiyxij16fvy4TFKMT/HicUfPS5aUBjxJEhkpNXn++0/WeC1d+siZSWa6nbsMEylD3VxnAR1pd3qhoXLMD1I41N4tI1xEon7rdu3a2S63j+ojrVJdBmsAAEEeaSxpP3BAShfv3y/XGzaUEXZ3ajGoSbtTmD9feqOHhkLVqpJU22vUO75N2ry5HOc0bSqti6JKNCgn0LOndKD48kuZk5sYLj51+tAhSdivXpWD9rVr3WiZxhtvyFmIPHlizeVNGhffxC4jPFxOaB49CgULyr7YIflfRISskV28GHbvBl9frmUsCkABLjngBe3n7t24ReH+/VdqUcQne/a4LdXKl5cxELv43//gzz/l87V0qSTuTiqhQyw99HJS06fLFLD8+aWQaBqV5FMVnp6eXLlyhdyxjmRv3bpF7ty5iUzoVJ5KsWL3/pH/D/0BpKEeUPPmScKePTuMHi0L2txtz6pJu6kMA77/XpoOALz+urThtudBYvQmjT7aj4yU759ffkmzJ46d09y5krBbLEmreGWrLO56du6U2pd37sgB/erV0pXQ5RlG9IevWrUUP50m7Y5nGHLObO1aaaTyxx+QL58DXuj6dVkysWGDXF+8GNq1w7DIEHMr5pKPK+y5Xw/o6YAAEic8HI4dizt6fuFC/I/38pLZMbFHz/Pnd+Chxc6d0UU6p06VqRFOLNP9q9TiP4rfDwEK6OfZmUVESAFRkNpVqdob0Lkk+TDRSOCdHRoaindUI3HlUOlCA80OwfHCw6Nbtn3xhUxdGzDATY4iE0GT9lQTESHFwcePl+s9e8KoUcmYGvgYUZv0SsHKZLt9hgM8DUjLb03YnciZM/DBB3L5s8+gZs1E/6ir9mlft05OVAUGSl67YoWcI3V5hw7JSd7p0yVrsYNy635iIVv553obQLvoOMJPP8HEibLPnDVLVjTY3Y4d8OabMnqXKZPUkYlaJ/vgY5yFAF5lBR4h6UmNpN0wJJzYVduPHpVDovgUKhR39Lx0aRM63j7/PEyaJCdCUlKxNZUUP7WWDbRlz4kaWKZdpnJoWS7yoh56OaMjR2SNTM6c0RUp06hEHyqOedCk2GKx8Msvv5A5c/QU7cjISLZs2UKZMmXsH6GKI9zbjXt4BwVJdd8dO6RkbLp0MtVq9GizI3OoiC1b2LR+PXW7dJEbtBJZqggMlCV4y5fLAeKoUdC7t2Ney5a0F6rCE5HHmH64LeDANZoq6cLDZeTN3x9eeAEGDUriE7he0r54sXwGwsKk+NyiRZLDuDx/f1l/cuKETH9eutQuT5vj7N9UZTE3glI+aq/iWrkS+vSRy99+K/VF7MowpHNA375yxrZMGWn9F6NVbMzMrVHwQjsHIVPYDx2KO739zp34H58lS3QxuIcLw2XLZvfQks8Faww9eXcv6TptYTFgid3/TTmHChWkUMOhQ27y5ZR8iU7af3gw7cUwDCZOnIjnQ8NQ3t7eFC1alIkTJ9o/QhVHUBY3Teg2boT335eS3SDzM12+KXAiFSlCUN68RL79Np5z5rhkr3lXc/WqFDnat0/Wks+a5diC/VFJ++7qfXh6Wn9+cO9OQq5p0CDp8Zc1K8yenfQpEC420j51qhRRt1qhRQv5DLjFzEPDkArxJ07IUOSUKfZ77qglEIb1MQ9USXXokJxAslrlfdmvnwNe5LvvpJAVyEj7lClxFnXbc7Q1IgJOnow7en7mTPyP9/SEUqXijp4XKeKEE/Du3ZON9M03MgrqSh78MTNEBsV3s3I2vr5yIj2NS/QRyZkHe5hatWqxaNEisrvF3DnXsrXwO7x0fjbhXm52psnfXxYT//yzXC9YUKZZNWxoblypzDBg9N7qlMnpRYPSZbWpkAMdOSJvr3Pn5Fjjjz9kdp8jRR0MZLp3Ga/le3mJHGylhh4kOIsjR+TgE2TNQpEiSX8O25p250/aR4+OnlXy3nuy+3WbZRojR8qUAS8vWLDAvgmFLWl3/m3sSq5fl5Oo9+9LJ43x4x2UQLVrJ0/eq5d8AOJ5kWUl+9D1SE8CSVrR32vX4q47P3xYCpvGJ1++uCPnZcu6SEHSiAg5w7JqlZwc27TJtTJeV4o1rTIMaedTvbpurweS/BW9ceNGR8ShEsP2pnWjg4U//5Q1KhcvyvUuXaTghK+vuXGlMo8RIyi9+wB9TnzHRTpxvEw6ipkdlJvavFnW7969C088IdMxS5Z0/OtGfXzzn9+F7zdv8hXVqcFW/S5yFmXLwpw5UkH6zTeT9RQHq3fhy/2NyZbLeZuaG4Z0zhwyRK737StFGN3mfbh5M3zyiVwePVraQNiR8WA9i460209IiOyTz52TffHChWDXEkkHDkQvjM+TR07QPaKDQISHN0GPOG0eFCRdzWL3PL9xI/7HZ8woVdpjj5672uB0DP/7nyTsGTJIATo32YG4ya/hHtavl3Ym1avLfl3XEiY9aW/RogVVqlTh46jpRQ98++237NmzhwULFtgtOBWT4YLrJR/JapXpqBcvQokSUkI7CUWf3InHpEmUvXCBM8jauUv7tkNxnQpkb7NnQ/v2snT5hRdkmWtqHThFHQy8uPErAF5iW+q8sEq8t96KLkaVDFeeqMEMPGmWxTkTOqtV1gs/KFHDsGFSa89tDlQvX5btFxkJbdrISWB7c7ElEM7OMGQq/I4dsj57+XLIkcNOTx4RISdwRo6EGTOkKCE8tuVffJ+HoUOjk/QTJ+Lf/BaLnHSIPXpevLj9C5uaavJk+PFHuTx9Ojz7rKnhJMuDjXzHKyfZjLtcseYF59xtp11ffy3/P/OMJuwPJDlp37JlC4MHD45ze8OGDRk5cqQ9YlIJCPb25QY5iUiX/B6zTiEyUr7BPDykrdLUqfKN6JAmrC4i1lGCEaGtE+3JMGD48Oh222+8IccaKWjXnGRRmzhj4I14b1cmWbpURmPt0JnCmfO5iAgpGTJtmlz/6Sfo3t3cmOzOy0uypNy5o8uP29uD5/TQI3y7+PLL6PIRv/8ulc/t4upVOYGzZYtcP3Ys0T/67LU/eY3oAahw0sWpSZkzZ9yWauXKpYE6WZs2QbducnnoUPkydUUPPsdnMpeiwrVNVC7iBVf0+9hp7Nghda7SpZNZHQpIRtIeEBAQb2s3Ly8v/P397RKUit+0yj/R4MQ4RlWHV8wOJjmuXpWjxJIlo9eOPvmkzM1UMWSdNgbefsnsMNxCRIQcY0yeLNf795cVGKl94jZ6dYsTZnRp1YED0p4oWzaZFp+cdewPyXVxP69yhTwBZYAn7BGhXYSESFH8JUvkfOlvv8lAtNvJlUum7N686cCTwE58ZsbFzJsnHV1BlpnXrm2nJ962TZa4XL0qReZ++00qLSZSkfuHacs02/U3+J306eUEQ1SCnidPGkzwTp6Uv2PUevbPPzc7omS7nr8i/fmOLPkzUgH9ODudqFH2tm2lmKgCSHqtqwoVKjBv3rw4t8+dO5dyWvE6VbjczsUwZFizXDlZrDZ6tFRsUdFij7SnuaMBx7h/H5o0kYTdw0M6/Xz3nTkzraI2qSsUKUsTovr9hYVJFcLChVP8lBU3/MgfNKXKZfu0F7OHgAAp8LVkiVSGX7jQDRP28+ejL3t6SkblIHvbj8GHEGYWHuCw10gLdu2SpUogdRXs0i3MMGR9dc2akrCXKwd79iQpYY9tND05SUkyZ5ZC6fXqyaScNPkVHRkJ2bNDlSoyS9KF/wi385RlJP2565WDdNmz88ctaeHowr+S+/jnH1kn4+ERXZ9EAckYaR84cCDNmzfn1KlTvPKKjPeuX7+eOXPm6Hp2B3PJncmFC/DBB1JwDmRtyq+/OvSgyiXFTtpxxY3tXC5flo6BBw7INPi5c6FpU/Piccc6ki6tVy+ZMluggP0OQG1P4Rwb+fZtaNRIEqTMmWHZMqhVy+yo7OzIEUkiWreWE8IO7llneHkTRjoidXp8sp0/L/3XQ0LkhNK339rpiffulTMAIFNLJk2SN35SPdgXTKcNvRkNgCvXjLOb0qVlZxIenrpryxzAVhg2+ByWwEAqs9PcgFS04cPl/zfflGrByibJSXuTJk1YsmQJX3/9Nb///jsZMmTgqaeeYt26dbz88suOiFE98Op/39KJVQTu6wy8Y3Y4j2a1yvDm//4nw53e3jB4sMxN9vIyOzrno0m7XR06JMnKhQuyvHX5cnjuOXNjsliiEjnjodvMiSXNmzdP+jNbLDBzpv0qXznRovYrV2RU8NAh8POT86ZVqpgdlZ3dvw/Nm8t0guPHU6Xal35mUyZq9tO1azLNfPZsO262556T4rY5c8KHH6Z4YzVgFfNoyQ6qMcvSx05BuqCTJ6NbrNitSqC50gfeogonKe+/L8bt+vk2WWionIgF+PRTc2NxQsnqytq4cWMaN25s71jUY+T3P8bLbGbLnfpmh/J4V69Kgh4QANWqyQFy2bJmR+W84nxT6DdHcq1fL8fx/v5Qpoy0dCvmBP3zojbxtdxPkiXgKrsx+SxCWnXmjLSZBKlMaM+OFU7Sw/vMGahTB06fll7Qa9dKyym3YhhSWe/oUZktMXduqjSaL7p1JtNZz/HrTYCWDn89dxIZKRMiDh6UyXZ//CFLzlNkwQIpJBm1vCWeQslJ9uBznJsbtGQBPoQyizSatE+aJCdAxo6VWZNuosipDeyiJVwxOxIVg48P7N8PO3fKWT0Vg9bQdyVOckCYoIfjyp9fWoL8+CNs3aoJ+2NELFnCnyPGRl/PlNXEaFzXtGnQoIEk7DVqwPbtzpGwQ3TSfilfZSKKlmAq7fWsvhkGDpQ3SLVqxCkJnVJOMNJ++DC8+KIk7MWLS00ut0vYQabCz58vifqCBTKlJhXkOL2XNsyk3P1d0vtLJdrHH0ui7uMjTRtSVEYiLAx695ZCkm+8ISN0dhJ7v/wCf9ntuV3Kxo2SsEdEJNyEXil78/CQnrwqjiQn7R4eHnh6eib4TzlO1JRpp0zZ//tPjhTXrYu+rWNHWTeq74vHOuVVhhPpy/IrHQAILeAkmaaLMAzpPtO+vRxfvP02rFkj04KdRdSB4LpaX3Ljr5NMoJu5AaVVEyZA167RfabsKerEqkl76T175GTVlSvSmGPbNknc3c62bdFtgEaNkhMwqeXBNn770igoVSq6pZh6pMmTpV06yMnVqlVT8GSXLklxhtGy3pw6dez6WY5dCNaCkfZOsJ44EV0p/u23o/uluosENmia287OZPNmCAoyOwqnluS93OLFi2NcDw8PZ//+/UybNo0hQ4bYLTAVj6jq08400h4eLv2zhg2TM9/9+8vUFt3zPVZwsPSlnTQJtm3zAl6hK0fJwn2eKWyvZrXuLyxMZu1NnSrXBwyQ1jxmVIh/lKiPRIaAG3hvOkhVfNlred7coNKiLFmkv5QjmDjSvnGjFFoMCJCEaOVK5zppZTfBwVL1PyqZSOVm84Yl1o5l5kw5U6IStGFDdGvvIUOkfXqybdwo2//6dciaVc4AvPaaXeKMsq7EB/Q/0IbrSMHcNNfx4+5dKTxw547sTKLqf7gTd/t9XN21azJNMksW2LdP27wlIMlJ+2vx7BzfeOMNypcvz7x58+jYsaNdAlPxMX/qZQz798N770l5bpBS3RMn6s7wMf79V0YdZsyQ70aAbowjJzf5jQ5MoBu79RgwUe7dk5mR69bJhI7x46OXKzubqI9Fwcu7yfHOa4zhOV5gt7lBpRU3b8oU6i5dHLp/OlWtNT9ur4Jnjudo77BXiWvZMpklHBoqva6XLEle0WyXkCED/PwzfPON7EhT+/vGI9brhYen7uu7mOPHYw7YDhyYzCcyDOnXOWCAFLp96inpXxhVIM2Owr0ycoOYH6A0c1gTESFnVY4dg4IFZWfi4pXi45PQ9kwz29nZ/PCDtJN4+ml536l42W0s6vnnn2f9+vX2ejoVHydYLwnIB+vTT6VS64EDMpwzc6YsVtMPW7wCA6WrVLVqcqzx00+SsBcpItO6ezKGIQzmPEUIxRvv00fNDtnpXbgAL70kCXumTPL2c9aEHaI/vnU2yzrqKuzRA4TUYBhycrFbN1mu40BXytRkIl056fusQ1/nYTNnSuHF0FB4/XXplOC2CXuUxo1lWnqmTKn/2rFH2itUSP0YXMStW7Kp7t6V774UdVYMDYU5cyRhb9sWduxwSMIOaTxxmzNH1pZlzChnA/PmNTsix3iwkW8i1fBvk93MaNK2O3eiZ7999lka/wA+ml0WAQUHBzNmzBgKFChgj6dTCYjw9CGQjFg9HF8h95HWrInZR/Gnn7TvegL275fp77NnS+0rkKV3r70GnTpB3bqyfzr2RfROyptwrNoC+JEOHJCDwcuXpTr28uXwbOrlScmS9+5RLlCf/NcumR1K2jJ2rJzR8faWOhsOlNrnVceOhR495HLbtjKLNRUKqJtj3TpJ0ooWletmHdjFet3b+crjjqsQUiosTGZBnTwpJ6cXL4b06VPwhOnTy8j6+vXSNcCB27/89Y2MZZHDnt+pvfsuXLwoPdmfecbsaBwmqkbUcUqRn0222zVfNMHYsdILskIFObBTCUry13v27NmxPPSuNgyD+/fvkzFjRmbOnGnX4FRMM6uOoe7RsQyvCS+n9osbRvTerEkTWURcr54M8agY7t+Xk9WTJsnSnCglSkii3r79489x5J/xDbw91ZFhuqzVq+VgMCBAqmKvXJnCKsSppNWmbhQkZsKuBwgO9s8/UmcD4PvvZeqdA2W7doxXuEqeoKJACYe9jmHAV19FTzXu2VNmFzpbHQe7OX5cvmu8vGSE3cxy+A99aLfzAtt/z8ZHb5sXjjMyDJnYsmmTzPr4449kntefNUsSyI8/luvFi6dKZcXCd/+lDdF1L1oyP+3sqy0WWYLg5u7kLcMgBnOewoTjbXY4aVdAgHSZApnB67ZfYvaR5KT9hx9+iJG0e3h4kCtXLqpWrUr27Dq9xJFM+9LYsEE+TMuXQ86cEsjEiSYF45wMQyo3T54sCXtgoNzu5SXHmp07SzvohPZHRqy+7LGvKzFlipwvioyU4sGLFkG2bGZHlTjprGFmh5C2BAZKwaqwMHj11VQpWFZ+zWjWM5lplwYBgx3yGoYh5yFGjZLrgwbJP7dNKgIDZVH0/ftS8K20uUU6j7QcSLVln5KLG2QkiBc98psajzMaNUr21R4eMHduMlYQhIZC374yZdZigZdfhudTsWjnQ5+lSXTiHEVS77XNcOKEVG8dNy4NrK0Rd/KUZSiDaMUcrpKHNdSjLTPcdz/qrCZNgtu3ZRbVm2+aHY3TS3LS3r59eweEoZIi1Za037snbXUmT5brw4ZFt1hRgKzVmzVL/kT//BN9e+nSMqreti3kyvX459Gk/dEMQ0YVv/pKrrdpA7/8IjOeXYXFiLvmQQ8QHKh3bzh6VNZP/PZb6vyxHTw/PjJSTgD++qtc//FHhy/TN5dhyC986JCsrZ03z/T5/9YMmbhDOn6iB62ZzfQTI4G+psbkTJYti9mNL8mzXS9ckIP3Xbvk+sCBUj8nVcnneC5v8QGTAMjnrvvqO3fkpObx4/LZmjLF7IhSRdSuugSnyMN12jCTtswwN6i06ORJ+f+TT7Q9dCIk6tvv4MGDiX7Cp556KtnBqEd75egE3mQF4ftbA60d+2IrVsiQ5qUH03m7dZMzsQrDgL/+kkR9/nzpQATg4yPHGp06SYG0pOQImrQnLCxMliJHrb754gsYPNj1Et69ZVtT9JpWi08Vx49LD0CLRd44OXOmzus68E0ZGgqtW8uyXg8PObZ2+3Po48dLQRBPT9nZOlFRrLAHU2qNMK0eH+XAAXjnHfmO7NJFlm0kybp1UmL+5k3Inl0+u40aOSLURHmBv/iVDhziSebQz7Q4HCYiQtpOHD8uLbaizoqnAd4h/jzJOZ7l7xi3u9pxhcsbPx4+/BCeeMLsSFxCopL2ihUrYrFYMB6MHlge8a6OjIy0T2QqjgJ3D/MKf7L1pgPPOt+6JUM3s2bJ9ZIlZUjz5VRfRe90bt2SNm2TJ8N//0Xf/uSTkqi/+27y+yLHSdKdpKuf2e7ckeUFmzbJIMDPP0shcFcUkCkvO3ieauwEZD2sHiA4SKlSsH27VJh+5ZXUe10HjbQHBsrnYM0amV0yZ04aKCeycyf06SOXv/1WzoQ6gfx7ljGR1XRgKgDlbmwCPjYzJKdw5YqUuwkMhDp1YMyYJCZA338va9etVimAtnAhFCvmsHgf6UHghblAB6aynleYa3HDpL1PHzlR4u6V4uNR8OQm/iVuC2tlAjNrlLiYRCXtZ86csV3ev38//fv353//+x/VqlUDYMeOHYwcOZJvv/3WMVEqAIzUKE385ZeSsHt4yA596FDZoadRhiF1jyZNkmOI0FC5PUMGWS7bqZMstUtp8tXWcxZekSHsQtbtRXi7X1/UpDp3Dho2hCNHIEsW+P13qX3oqg6WakGHFS35q0Innru2gsnXO5kdknurUkX+pSYP+++jo2av/vWXdDhbskSSIrc3fLj0QH/jjejk3QlkP7XPNmUawDs8yMRonENQkHREuXgRypSBBQuknkuSZM8uCXvHjlJNOkWl5lMm9vd5JfbF/0BXNmGC/J1BjvkqVjQ1HGehJ9JTya5dcpKoiJvXi7CzRCXtRR76o7755puMGTOGRg9NWXrqqacoVKgQAwcO5PXXX7d7kOqB1NibDB4sw8jDhqX+Aa8TuXEDpk2TUfXjx6Nvr1hRlli+8w5kzWq/1zvk8RThkRZ+pjMfMInQrGm7hd6+fZKoXL0KBQpIhXhXX3lT/NJW5jCR21krcOmPy0wrCun1AMG+xo2TEVmz3iy2fbR9kvZr1+RE1cGDUnDxzz9Ttx6XqebNk+m6//ufcx1Jx4rFIzJtT4+3WmWZxp49kCOH1KtNdHHQiIjoGgUdO8oU2Ro1HBRpEjjT+80R1q2L7hX59deQFo/b3X0bOzOrVaZMHj8u1YSbNDE7IpeR5Nr6//77L8XimbJUrFgx/nt4zrByHHuN4hiGZKZvvx39nFmzSk+tNJiwW63yXdaypSSK//uf7FMyZ5YR9T174O+/oWtX+ybsEP39cYgnWUlDAvM6rl2Us1uxQo7brl6V3GvnTtdP2AH8/M/Rink8eXIpPnu3U5H9ZofkXjZulAPRKlXg9GlzYnjwQbbYYR997hxUry4Je968MuMnzSTsICOtw4aBr6/ZkcRgWGIeNlmsESZF4hwGD44eWV+0SFqbJsrUqVJW/tat6NucIWEH/irxLsWI3odYMNwrx/P1lQq5774rBcDSIItH/BvUrbazs1q6VAYHM2Vyms+8q0hy0l62bFmGDx9OWFh0+6KwsDCGDx9O2bJl7Rqcis2OUy/Pn5cCL+3bS0+WxYtT/pwu6soVmYn5xBNQt64cgISHS8HayZPh8mWZHl+5suN26O9ap9OP7/mDJjRmJZdefscxL+TkJk6Epk1lumW9erB1KxQsaHZU9vHiP9L3t8jVPeR9ozpTaa8HCPZy86YcgBqG/J8KvZzjc6nya/TnO3Zmq5+i5zlyBF58UQrrFi0qn4Mkt81yRcuWSf86Z66NE+tg39OadkfaZ82S8yog35GJOv4OCZHpah06SHeHceMcGmNyhPhk5SwmradPDVWqwN69coCjX0IqNRmGzO4AacNq7xEwN5fk3ikTJ06kSZMmFCxY0FYp/uDBg1gsFv744w+7B6geEjWKk5Kpl1arVPP66CMICJCS50OGSKaUhkRGSlGnyZPlODHqGNHXV475O3VK3SVePSN/4Gn+4Xv+xx2ysfvmESDtFIWxWmHAAKk3BTJzauLEZKyLdGLpQ+/HuP40ie/KoR7BMOQNc/my9Fo0sS3ljQq1GEldXvSN294vsfbtgwYN5DxE2bKwdq3M/HF7J09Kj8x796RNX5cuZkcUv1hJzpb09UmLwxXbt0cXBf3440R2Mjh7VmoU7Nsnf8ehQ+HTTx0YZfLEl8e6fG4bESH92KMG19LETuURHmzQm+QgJ7cIINPDNytHWbtWThhlzOjm/UodI8lJe5UqVTh9+jSzZs3i6NGjALz11lu88847ZMqUye4BqmhRheiSPdB+4gS8/77MswQZypkyRQ5004iLF6XH8ZQpMtkgSrVqcvL/zTdlxk7qi/6myM5drMk/5nc5ISFywDdvnlwfNgw++8wdvzzjfnDd73c0wbhx8McfUlZ97lyzPsBAyovHb9kitRzu35eZPX/+mXrd6kwVFAQtWkjC/sILzt0iItb0+FXeTfnApFDMcuYMNGsm7Thffz164OyRVq2SnoW3b8vi99mznbayaInrOxjBUrPDsK/eveXgZ+bMNNB6IhEe7KzPU5gnOKFtdlNL1M6ic2dZoqGSJMlJO0CmTJno3LmzvWNRj7Gg2kjqHhrNkDqQ5OY3hgFvvQX798sZrm++kd6IHkleIeFyIiLk4HfSJCloFpUQZ88uAzvvvy9t25xJyYXfQIcfzQ7D4W7dkoO+bdtkVH3KFGjTxuyoHMPDSENnYlLLP/9A//5y+fvvTa+AnOnmOapyg9wheYGiSfrZFStkEDIkBGrWlGV/Trac2zEMQwqFHDwIuXNLP3Zvb7OjSthDZ9r2U5EgS9oarLh3T04s3bghndlmzkzEYcTcudEN3J97TtagOXHV6MK3D/Au39muv8ZS1z7BOm6c/LNYwNPT7Gicgn/O4ozgIy5RgLtkt93u0tvZ2W3fDps3y8FePzdsoZgKkpWxnTp1ih49elCnTh3q1KlDr169OHXqlL1jU7GlZKTdYpHGqXXrwqFDUrDJzRP2c+fgiy/k2KBpU6lqa7XKuruZM+HSJfjxR+dI2I3Y3xQR7l/c6PRpGVTbtk2WNa1a5b4JO4AlnqRdDxBSaPx46cP46quyPs5kT/w5lp1Uo8WVpK3TnTNHTl6FhEgh3ZUr00jCDnI2dfp0+T6aN8/pp+2ea9KNQpynOKd4i3nc8sxtdkipJiJCWp3+9x/kzy8TXBI1saV+fSnO0KWLFGhw4oQdYu6XZ9KaM668vn3t2uhpyMOHS28+xd28ZfiEEVgwOEVxhjLQ7JDc36lT0r+3fXv3KVaUypKcta1evZpy5cqxe/dunnrqKZ566il27txJ+fLlWbt2bZKea8uWLTRp0oT8+fNjsVhYsmRJjPsXLVpEvXr1yJEjBxaLhQMHDsR5jpCQED788ENy5MhB5syZadGiBdeuXUvqr+USkjT1MixM1os9vL6zenVZyB1P9X93ER4uFWwbNpRfc9gwWeqaM6ec2DtyRE70tW4tvdadReypWXZs8+yUdu+WStjHj0PhwnIC9pVXzI7KsSxo0m5348fDyJHw22/O8cdMRsu3iRNlfxQRIf8vXOhc+yaH2rMHevaUy8OHyxQDJxeZOSsXKUQzFnOc0gy4+7HZIaWavn3l5GqGDFIL5pHnV06fjv4iy55d1rFPmCB1dJxc1PfxIprRhpmcx7lPMiTo2DFphxMZKdMKP/rI7IicRtSuuiQnKc4ZBvJljNuVA7RtK6NpUdUrVZIlOWn/5JNP6NOnD7t27WLUqFGMGjWKXbt20bt3bz7+OGlfXoGBgTz99NOMS6B6aGBgINWrV2fEiBEJPkefPn34448/WLBgAZs3b+by5cs0d9P1Os8fn8F83qTCwVmPfuC+fTIFbdAgaedx8WLqBGiiU6ekkFmhQrI0ctUqOV6oXVtm5l28KLNny5QxO9L4xU3a3febY+lSOTaPml65cyeUL292VI53uJSOcNidp6dkEs6y8DuJLd+++UZmhhuGrFaaPt29ii8+1pkzMsL++uvSY9MFpagwrAsZPx5++kkuz5wJlSol8EDDkNkTZcvK/1GyZ0/gB5xPVOL2FAf5ie7043vXS+Zu35ZpO3fvypS2SZM0I32IZ1gwxThNObRVdarKnh3y5DE7CpeV5DXtR44cYf78+XFuf++99/jxxx+T9FwNGzakYcOGCd7f5sFc2bNnz8Z7/71795gyZQqzZ8/mlQfDdL/99htly5Zl586dPJ9AU9vQ0FBCQ0Nt1/39/QEIDw8nPNz52rdExVTg5j/U5Xe2XC1KeHjLuA8MCcFj2DA8Ro3CEhmJkTMnkaNGYeTOLUPQbiY0FJYutfDrrx5s2BB9/ilPHoO2ba289541Rs9Y5/4TxPwyjbAaTvleTKlx4zzo29cDw7DQsKGVWbMiyZzZ2beNfdzLUpB/eMpWNX4zNbBYDMLD3X8phF2dO4fHuHFYhwxxuiFpW/pmWB/5+TUM+PRTD0aOlPWln3wSyZAhViIjnbvbmd01aybt+YoWdZklQdkObGQkq+jLDwCUCT/olvvqh61da6FnT0/AwrBhkTRpYo1/nx0cjGePHnhMnw6Ade1aIjt0cLlkMepzXJJTdGccu6jCAvq51L7aY9QoPE+cwChcmIj58+XkmJu/T5Mi74lNnKZRnNsjIsL1z2Rvp05huXAB4+WXU31fELVvdvZ9dGLjS3LSnitXLg4cOMATTzwR4/YDBw6QO3fqru3at28f4eHh1KlTx3ZbmTJlKFy4MDt27EgwaR8+fDhDhgyJc/uaNWvImDGjw+JNqfsB0jLq7p3brFy5MsZ9fkeOUHHsWLJcugTAxZde4t/33yfM11eqsLmRS5cys2ZNETZuLIS/v0y1s1gMnnnmOnXrnuO5566SLp3BsWMyO8wVfO81hkyh91iFnMS6dusuJ2NtY1dmtcLUqeVZtqwkAPXrn+H99/9ly5a0MUoFMDtHY+bTlyW8Ri02MpbuRERExPksq4RZIiN58bPPyHH0KJcOHmR/1NRqJ5H9xnVKA2GhoQlu18hI+Pnnp1mzpigA7dsf4vnnT7nbbvqRPMLCsD5cbO7B95YryLB5HX0Za7vuFRni1p/hCxey8PHHLxEZaaFWrfM8+eR+4vt1M169ynMjRpDtzBkMDw+OtG7NiWbNXPL4486dOzGuP8khgoODWbkyaUtATfXss5Rt0YJLL72E/969ZkfjdM6fuxzv7Zs2beLo0aBUjsa9PTNmDIU3bOBE8+b817atKTEkdfl2agsKStx7LslJe6dOnejcuTOnT5/mhRdeAGD79u2MGDGCvn37JvXpUuTq1at4e3uTLVu2GLfnyZOHq1evJvhzAwYMiBGrv78/hQoVol69evg6YfWf8PBw1q5dS+YsWQHIli071Ro9dIbw+nXStWqFJSQEI18+In/6iTxNm+JOE1CCg2HRIhlV37o1elQ9f36D9u2ttG9vpWhRP8DPvCBToH2GdNwNtfAT3enBWLIWKMpLjeKeBXZFwcHQrp0ny5bJdvvqq0j69y+IxZK2CpFcXLyXenRkOy/y+oN2Qr5eBo3cZDunBo9Bg/A8ehTD15d8EyaQz8nqc5yeuhWAdncnYiwPx+jQAeO552z3h4VBhw6erFnjgYeHwYQJkXToUBpIO203LStX4vm//xE5e3aMv42rOP7H0Zg3eHi47Wf4xg3o0ycdQUEWXnzRyrJl+fDxyRfncZYVK/D85BMsd+9i5MpF5IwZPPHKKzwRz3O6gnkj4yZ0GTNmcL3t3KSJK5fQc6g/162P9/ZatWq6c9mn1HfuHOketJku1rcvRatUSdWXj8qf6tati5cTrz2LmvH9OElO2gcOHEiWLFkYOXIkAwYMACB//vwMHjyYnk426pEQHx8ffOIphuLl5eXUGzWq2LsHlphxFigAn34KZ89i+f570rnQ2rHHOXQIJk+GGTMg6uS3hwc0aiRtHhs2tJAunSfg2m1MLBYZcT5JSZk2naOYU78XE+vGDSlWu2OHdHGaNg1atXL97ZUcOe+f4y1+ZQ+VWUtdQvHhEuXcYjunik2bZBE4YJk0Ca9SpcyNJx4eD9opeWDAL79IW4QHJ7eDguDNN2Xg0csLZs+28MYbyeq66rrOnJHKwXfvkm7uXNvfxpV4xPN5dcfPcGiodIk9c0ZWMCxZ4kHmzPGUQTp7VnoVRkbC889jWbCAdC5eGfpAyTcYvrUGh4luLWOxWJx/O69ZI+30xo1z7raJTsAzXfz7XskDUjkYd/bjj7L0qXZt0r34omlhOHt+l9jYknTEEBERwezZs3nnnXfo06cP9+/LdO0sWbIkPUI7yJs3L2FhYdy9ezfGaPu1a9fImzevKTE5UlRbsPQhdyVj/eCD6Gown3/ucuvGEhIUJK16J02SZC9K4cLQsSO89577dYtoEr6IjFxnKa8xhl5Mqg41zA4qhU6ckJMrJ09K7ZElS6TdXlpVc6tUp32OveznWY5SmuctRx/zUwqAmzeltLphyE7grbfMjiheNyrWYcbCTAxlkNxw/jwQ3dt62zZZhr94sXTBSlOCg6VK6N27ULUqfPfdY3/EKXnEPOEYu4ioOzAMOcSIase5fPkjaj0WLSrVoK9ckWqvbpAsBmfw4z9y2a67RLHBo0elUvy9e1CyJCSxMLQSbnIY7RyuXpWT1wCffWZuLG4iSUl7unTp6NKlC0eOHAHMS9ajVKpUCS8vL9avX0+LFi0AOHbsGOfPn6datWqmxuYYsjepfOAXOIC0y9m3T4ae3WBPc+CAjKrPnAlRM0U8PaXHeqdOUK+eXHdHPUK+ozK7ANjGi/xnbDM5opT56y/ZbrduyTHdn386b+X+1JI5MGYryjK4SMEFs0Ul6pcvQ+nSMdtYOpnbFWsxjLrRSTtw/To0aAD790sCtGIFmDjgYJ4ePeSPkDOnjAa6QOuveMX6EtqUviHON+cjZb75RjoZeHrKCfSyZWM9YNcu8PODqNpGn3ziFscgUVzuV4mqFH/vnuxcevc2OyLn92Aj38KPHNwmPOkTj9Xj/PCDTNmpVs0l2nm6giS/S6tUqcL+/fspUiTlfSsDAgI4efKk7fqZM2c4cOAAfn5+FC5cmNu3b3P+/HkuX5b1RcceVBXLmzcvefPmJWvWrHTs2JG+ffvi5+eHr68vPXr0oFq1agkWoXNpD3+T5M4NY8ZEz5l3UffvS0u2yZPlHESU4sXh/fdlJmW+uEvo3M7DozV+3DYxkpRbuFAGRUNDpfPgH39ohw8Ai6F92pPlzBnYulVG8ObOhUyZzI4oQbG3Z2AQvPQSHD8uu+zVq6FiRVNCM9eUKfLPwwPmzJHenC7KiDXSviBTezqbFIsjLFwoq+1AWrzVq/fQnYYhvdZ795YTaDt3yufRzXZkhW7uZxDLY9zmtL9ieLisuzl5EooUgUWLXPeEmAmukYenHnR0ASfezq7m9m3pEwmyQ9E/rF0kOWnv1q0b/fr14+LFi1SqVIlMsQ6gnnrqqUQ/1969e6lVq5btelRxuHbt2jF16lSWLVtGhw4dbPe3atUKgEGDBjF48GAAfvjhBzw8PGjRogWhoaHUr1+f8VFvFDezsupg5vxdhl/pCOXKydGgCzIMmSAwaZIcvwUEyO1eXtIBqFMneOUVlz8fkSQP787KcYSAlV9D509Niyc5DENOrPbvL5ebNoXZs506x0pV8SXtKhGKF4d//pGzek6e8frcu86T3LJd37IFjt+XpT1r14ITLsN3vAMHpAk9yDTqh7q9uKSHRtqP8wShuE+CtG8fPOi0S8+e0LXrQ3cGBcmSvJkz5XqpUtIWxA0VurGfd4juMNQIJ+0OYBiyoTZsgMyZ5Qx5KndxclWBfoUYy4dcJj+XKWB2OO7n3DkZccuQARo3Njsat5HkpD0qcX646JzFYsEwDCwWC5FJaDJbs2ZNDCPhtULt27enffv2j3yO9OnTM27cOMaNG5fo13VVkel8CMJ5W9I9zr17ksRNmiTHcVGeeELWz7Vtm3a/b2Kvi0wXGmhSJMkTGSmDL2MfdELq3l3qj7jrcobkiG9dpJ58TqRChVxidLboign8y5e26/fvyzbets0lwneMokVlAb9hyDRqF3ejRnPKjKqBFQ8CyYSfZwazQ7KLS5fkRGtwsCznGDnyoTtPnJB6BP/+Kzv1ESOgb1+33YE9/Gst5nWOU4oMzvirjhsHEydKwHPmQIUKZkfkMvzzlqIHY/mUrzhIBSbShfF86K5v6dT3zDNw5IjUutA/qt0kOWk/c+aMI+JQiRDjfe8iHwLDkBl0kyfDvHlysh5k9laLFpKs16jhMr+Owxix/wCPOJnlbAID4Z13YNkyuT5yJPTpo9s0Nh1pT6JPPpH1mU2amB1J4sXzpvf0TMMJO0C2bFJ5LyTELaZPRWTOxjFy0o1xjKM7f9x5E5hvdlgpEhgoH7PLl6F8eVmFYiuuvWQJtGsnhWby5JEv8pdfNjNch4s6ib6cxjRnMQDFzQwoIaVKSaGMzz+XSpcq0aJ21WU4SgUOMY7ujOdDc4NyN56e7lc12mRJStr9/f05fvw4YWFhVKlShVy5cj3+h5TdPH1yEa1pZ3YYiXL7tsyimzQJDh+Ovr1cOZn+3qYN5MhhXnzOxzWT9mvX5GBvzx45ETNzpnT/UXGdKlmPcocXxrhNT2wkYMECGc3z8JCqyFEFr5ydR8wN+hsd0u423rtXuptYLLIdM7ruLLGHxd6eLlFZ/BGsVnj3XakRmCuXzLDOmvWhO7/9VhL26tUlYc+f39R4U0PUNi7BKUbwEdfJzWL6mxtUfOrVg//+SxuFf+zMMzKM3NyhCOdi3J5m99f2EhIiB4Lvvgvp05sdjdtJ9GnvAwcOUKZMGRo0aECTJk0oWbIkq1evdmRsKpaCN/7GhzC58txz5gYTD8OQNZxt2sj3eq9ekrBnyCAn6rdvl77rvXtrwu4Ojh2ToqB79sj23LBBE/ZH8c9WmJOUsF3f7PJN/Rzk3Dk5swfStshVEnZkqRjACt9WXDpwg/XUTpsHgatXQ5Uq8mUQEWF2NHaV6exhhjKQcXQHoHDEaZMjSplPP5XBdG9v+b9YsYfu9PCQ8vGffy47+DSQsAO2zK0QF/iI7+jIFOf5HN+6JcsVouTPr5lmMuQ+tYNr5KUGW80Oxb389pt8f2u1eIdIdNL+8ccfU6xYMbZt28a+ffuoXbs23bt3d2RsKg7ZMW+v1ENGoZzEzZsyJbpsWZk1N3OmVA5/6ilZ43z5MkydCi+8oN8tCfnK9xsm0CX6Bicfad+6VRL2M2egRAnYsUO2r0rYhkbf8QQn+YtqRODJd/xPPw+xRUTIWot796SX95Ahj/8ZZ/JggwZ4ZCEye07C8U572/jcOdmGhiFVKNO5VyulzBeOMvChugXeRpiJ0aTMb79FH0r8+uuDffhff8U8vihYUAoIenmZEqMpHnxmMyO1ZYrjJCdmwsLkzHjVqrB5s9nRuLYE9stpbn9tT+HhMjMHpIWQsrtEf5vu27ePNWvW8OyzzwLw66+/4ufnh7+/P76+vg4LUD0kam/iBAmd1QobN8pa9cWL5bsE5BitVStZq/7cc7oDTKx96V9kGdUJIiP9GOXUEy7nzpWZE2Fh8PzzspZdV8o8Xu5r/zKaX1nAm7zIXwDohJNYhg6VpMHXVworuVqi8GCH19B/PgzNzCs0Zju1TQ4qFYWGSvup27ehcmUYPdrsiOwudss3V7V5sxSDBxg4EFq/Y8CYn6BfPzl5VqECNGpkbpAmscRz4GL6sYxhQI8esGmTVIr38zM5IFdn9gZ1Q3PmwNmzckDYsaPZ0bilRCftt2/fpuBDBQWyZctGpkyZuHXrlibtqeXBPsZiYtJ+9aqMmv/yC5w6FX17pUqSqLdqJcfbKmmiDgguUIg9VCY4q/O1IDEMOYkaVQC6eXOZVZHh/+3dd3gU1dvG8e+mECCh14SOggVREEQRsCDCTxDBCliodlQQERU7NuyI5UUQUFQsiBUVREDsiigWmqKh955AQtq+f5xsspsESMjOnt3J/bkuLnaGze6znOzMPHPOeY47iic7rtquZK7meX6jFZ/SgyxiSPGEZXkjO776Ch7O7cF8+eUC43QjRO6c9so5e2Dys1zKfr73lKGkffhwM1+menV47z13zmkssCRGoSKiEWDVKnP8zsyEyy6DB0amwuXXmDuyAH36mAqxZdSyJt1px0/8zKm2Q8n3/POmSJAqxQdHVNHf2wj8OoeHnBx47DHzeMQI19QwCTclGre2bNkyNm/enLft9XpZvnw5KSkpeftKsk67lJQ5mpz+24vQax189FFI3jUnx6wxPHGi6VX1TVGsVMmMgLnmGsgdgCFH6IwDXxDDZj6kN88xnOfPJKxmPGdlmWXcXn7ZbN96Kzz5pJZ0K4nOn5pCRq1Zwt8cQzKNaYdW48jz5ZfmztDgwebuXwTae/xpPM4o7sAMEazN1rJzEThtWv7yU2++CY0a2Y7IGRF+0Nu1yxQa37nTlB147a4VRLW/2BQ0i4mBp54ya3+XmV/cwvZVrMUi6uZte/Da/e+YPducdMGceFUpPgiKalDvQfbLYX3wgSkaW6UK3HCD7Whcq0RJ+znnnFNoXfXzzz//iNdplxLyP2v41k5z0IYNZs7bK6+YaYo+p51mEvU+fcxweCm9m/aOpT1fATCFQezzTrEbkJ/UVNPWn31mfgXHjTPXdFIy1XYGzotswuqyfF1c2MMPmyzinMjtmd7T5mzu5Ny8pB3KSO6zcycMzV0u6f77zULfLlVwePzXcV05zlIsJeXrWV+50kxVn33t+5TvNMAc5JOSTNG5Dh1sh2ldWH1nly83J+CcHBg0yPRiSqn52ngn1ajOrkL7pQS8Xnj0UfP45pv9lp+QYCt20q712e3zhuAOYFaWuak7cSJ8+qk5T4BZaveqq0yyrlFZwefftolsYpXFWPxt2mRu6v/6qxkGP3069O5tO6oItGOH7QgiwwUX2I6gVIpaDqxMXARWr25Gfr32mpkg7WYFetqnVRrKdZZCKQnflOgvvzQ32z/5BKqtyDAJ+1lnmaHxderYDjMs1N2xlJGEyepIjz5qltzr1An+7/+UVQaJb1rLbqpyGj9ajibC7d1rlh2MjzfLRoljip20N3LrULcI8tUpI5n9YzWeZUTQD9xr18LkyebPhg35+zt1Mon6JZdo7nKonMdsvp/zKNw82mocS5eaOkRr1+av33tqGE3xC3sZGWZ4wmuvmTtgRSjz119//GGWk3r5ZVesNRyTupum7AnYV2bauHNn88ft/JL2DSSR6Y2M6vjjx5uvmQcv06d7aNUKaNXXzD3t3t11Vf5Lo/7W3xjJqLztbsyx9z1+5RVzbLz9doiLsxSE+xyoUoepDGQLdfiH5nn7y8zxOpiqVIFZs0zRq5o1bUfjasVe8k3syywXzzaCV6Y7M9Osy9q9OzRubAo3b9hg1tweMcJMcfOtu66E3VkFixnF7d91kGeGxoIFZpTk2rXQvDn8+KMS9hLbtcvc7frwQ/Nlk0D795u56598AqNGHf75ESBp1iv8y9EB+1x9EThlihlrXYakHtuGNvzCSSzhBP5iT1Q12yEd1qefmnN6J75mU702XHDKpvx/vOACJewF+X1nv+Bc/sBiraa4OFMBVku0BFVq3aMZzFQyieVHTqUPb9sOKfLVrXv450ipKGmPMJ4gLAb2338wejQ0bAgXXgiff26Gzp19tilKumFD/rrrEioFr+ztrRDwxhvQrZtZKrtjR7MCV1MVOT+0tWvNMEb/ZU7q1DFzEEeNgj//5IMhhQtHujqhO5xbbzXzNevWhWeesR1NcBRoUFcPj583zwzDOuUUs8xPGZGTUJlfaUNbfmEX1Xlh5+W2QzqkP/+Evn28DM95mgWeztTZ8Bvcd5/tsMKc+dJ+wbl04wt2UiO03+Nx4+COO0A1ohx3In9wKj/zClcThf6/S2zChMDhueIo3V6NIMeuns393Gg2SngGycgwUw4nTjRz2nxq14aBA+Hqq6FZs+DFKiVTaNkgC8v6eb3wyCP5U1L79DHL+7lx1aagSEmBmTNN1ewFC/L333uvGboCMGlS3u71RzfkKFYV6oktk957L3/5ojfecE8vUoHv8VjutBSIw9avh379TNGTSy5xb6X4IhQ+9dq7wXo4W7ZA3+57mbpvMJcw04R6xRUmKZSDy23jRDZxHw+SQiU+I0QF4D7/HG67zXy3TjvN9KxI0EV5s0lgP7XYBkAC+9x9k9UJixebSvG33WbOCdXCf9RRpFPSHkHqb15MJVLNxvHHF+tn/v7bTIl69VXYti1/f9euppPkggugXLngxyqRJTPTHHsnTzbbo0aZJTejNBansEWL4Lnn4P33IS0tf//ZZ0P//gdNQLPLx/MfldlLJSqTwgLOKpsXCGvWmIMPmN6kCK4WX5And+3fBZzFQF5lI0nEu62NMzLg0kvNCaVVK3jxxTI1ZKTcjk3cyRs8hqk5UjN7q+WIipaeDrd2XcrM9RdzLCvxxsbiGTfOHOjLUHsdCU/u/09dNvMgD7CBJD73hCBpX7o0v1L8kCGq+uqg6v/9QgqnBewLxkjWMsVXMf6ii5Swh0iJk/b777+fwYMHqzCdDbknkh9OuJr2zz570Kelp5t8YtIk+Oqr/P2JiWYJ5CFDoEkTh2OVEvm/aqPZmFaNy5hhdoSwp33vXnMN/sUXJkl/4QUts1lIdnZ+Aarly8061ADHHGMS9SuuOGxvo+86eQP1qMwKHuAB5+INV1lZ5v9q926zvNuYMbYjCi6/Nl6L+X1wXX50222myEXVqmakSRkreFJu+8a8hB0ghvCrV+H1wuM9v2XSH92IZz+ZdesT+8EM03MrxVaL7QDUYYvzb7Z9O/TsaUZwnXEGvPSSCw8e4eNg/7X6Ly+mZctMogFw1112YylDStyP9tFHH3HUUUdxzjnnMH36dA4cOOBEXFKUwxxMli0z00Tr1TPXxV99ZZKwHj1MLay1a81SyErYw8/PFc+iD+8yljvMjhDl7Bs2mBUCvvjCFBH+6CMl7Hm2bDHDSE8+Gfxvkl10kVk76aefTAI/enSxhgdX2/Y3j3Enk7iGONL5hk5l7wJh82bTQ1u5simgERtrO6Lgym3Qs/iKMdxLTz52Vxu/+aa5qwfw+utls9hFgSXfQrEUa0k99BA8+WUr1tCInSd3IfaPX5Wwl0RU4doUjsrIgIsvhuRkc4E2c6aGQDqtiAOzetpLYOxY8/eFFxZ75K+UXomT9iVLlrBo0SJatGjBsGHDqFu3LjfccAOLFi1yIj4JkHuQ8euF3b/frCjVsSO0aGFyjJ07oX59eOABUx9o1izo1UsFYsOZ7/yxldos4zj2J9R2/D3/+MNcx/3xh6kF9vXXZk32Mi09Hd591/xH1Ktn7oL99ptJMH0SEsz6Se3alei2fJUd/3EnjzOQV6nJduqwxV0JXXHUr2/mwc2e7cqEzzc8vj4buJeH6cvb7mljr9fUbwC4++6ye7CIDuM5Q9u28fZbXu6/H/aRwG9PzqP6z7PdUzMiRP5t1JnOzMvbdnyu89Ch5gRcubK5YNOyWY5TT3spJCfD9Onm8Wi7SxOXNUd09mndujXjx49n48aNTJ48mfXr19OhQwdOPPFEnnvuOfbs2XP4F5GSyz2YtF86mV3dr+CmmyApyRSS++470wHQq5dZ3mX1arj/fmjQwGbAUlxt0r/jYt7jfS6iBcv4ubOzBazmzjU3etavN6sE/PgjtGnj6FuGv2HDzN2LPn3Mlyg726xz9+KLZihCKfkuBlqwlA3UZzFl6D/cf7pHQgK0b28vFgftb3YiLzA0bzuBVPdcBHo8JqF46SV48EHb0dhToKf9sEPgQmX+fDKPacFvV5mVGG67Da4YmVhEvHI4+yvVYSFnhu4Nu3SB+Hh4+231WoaKetqP3BNPmOujrl2hbVvb0ZQppbpl7PV6yczMJCMjA6/XS7Vq1XjhhRdo0KAB77zzTrBilDz5B5kfPt/Fiy+aZbkaNzbD3teuzV93XefpyHL9zkd5j0tZTROe4xZHp7RPnWp+R1JS4KyzzA2fMlmiYt26wO0tW8wXqmFD05O4YoW5m3HjjVCjRunfL/ciIZocAJLY5J6E7lC8XrMe+7PPmgJLLpbS9ixuYXzAPle1cWysmT9Tlk8wBT7793FnWwokV04OjB2L99xzid21jUuy36ZXjywef9xuWJHM4wlM4KKc7mnv08f0tJx3noNvIgFyG3Q3VYraLYdSrZqZT3n33bYjKXOOKGlfvHgxN910E4mJidx66620bt2a5cuXs3DhQv755x8eeeQRbrnllmDHKn5HE4/HrLQzZw78+6/57iQlWYxNSim/bRuz2pF38HrN6IvBg/Prgc2eXcaKfu7ebSo0dupkkvNly/L/7c47Yf58M/Tr4YdNkblgKqtXAxMmmCkHd94J//xjOxpHeTwQRU6hfRHtqadgxAizxITgjQpM2l+qdIelSDDHswsvhLvuwpOTw1QGclPLr3nj7ZgyfV+ltGrsWsVQXnT2TVasCFzfWkPirdhPRVrxG634jUxcVmPFKY8+aoZpdupkO5Iyp8SznFu2bMmKFSvo2rUrkydPpmfPnkQXODv069ePYcOGBS1IMX4++Tp+XJjBAzxItWoeZsywHZE44QI+YeH8sTAyeEPkMzLMKlv+U1IfesgFCUVxZGaa4e3TpplKe77imVFR8P33+cMRW7VyNIyi/q9d////55+mLgDA448H/0ZImIk+sJ8k8qeHRfxwy4ULzc2W7Gw4/XRzp7is87ve2UVVvB5Lc9z/+MMUxfz3XzKjynFjzgvMqnM1P3/qISHBTkhukbT5V4YzPG/7HL4M7rF6+3Yz3O3AAdPzcsIJQXxxKY6MhOq8w2XspDq/0ypvv+vPycFSpnp7wkeJk/bLLruMwYMHU69evYM+p2bNmuS4fBikDenlq7KRxrbDEAd4C5wp4vduDtpr795tCtPOn2+uNydMgKuvDtrLh7c//zTzBbf6raXcogUMGACXX26KzYVKWbsa2L8f+vUzF6Y9epiaAS5X85PXWEv+53S8gJWTNm40w3azs+Gqq8xBRMismcgZLCSbaBZxCvVsNPCuXaaXa+9edlZuRNe977G0fFsWfqw6NsH2LR34mXYEbQZZRoa52ZKcbIpxJiYG65WlBPbXbUpf3mEsdzCPzozlTubS1XZY4e2tt8wIxQ4dbEdSZpX4FrFv7npBaWlpjHHbmrthJmCeVaReCMpBFGzQ4PTQrV1rCs7Nn2/qf336qcsT9o0bzSR9n+bNzVyAWrVg+HD49VeTyN9+e2gTdii68I2bv8e33QZLl5riflOnuvzDGp4ol7RxZiZcdpmp89CypbnTF5EfxAHly/MNZ9CEZDKI47XtPUIfQ7Vq8NBDrDu+G832LmYxbXntNbOghZSeJ/d3/SvOpBPfkkql4Lyw1wvXXw/ffGMqxX/ySXDqpcgRa8fPdGYBzzGMGDJ1mDuYlBSzykHHjvDll7ajKbNKnLQ/+OCDpKamFtq/f/9+HizLFWVDoPGahTzJ7blbOrK4ScGe9mDk7L/9ZpZ0W7rU1Dv45hvo1q30rxt29u0z60d362a6ma66Kr9aeVycGeK7YYMphNa6tbXkY1vTdpzI71beO+Tefz8/0XvjjbKz5FRU4Cn1dp6MzIvAUaPMza/Klc2a0RUr2o4obBRuzxBNgVi7FpYvz9ucd/zNHLXyM3ZSgzFjzD0WCa5q7GIkT3ILzwXne/zMM+YGZlQUvPOOKsVb5MGLhxwqkAbAcawgFtXtOKgJE8wIn2OOgbMtF98sw0o8PN7r9ebdhfT3+++/U7169aAEJUWrv/kXarIDgE0V3LfGcVlW+DqwdBeCn39uLuJSU810uc8+c9mwyZwck4xPmwbvvWc+qE+9embOoC9RDJP5glkVKvEnJ5KDhyi8LOCsyEzoimPLFlNp/Lbb4JxzbEcTOrlJ+zKO42JmspJjqBtpbfzuuzBunHk8bRo0a2Y1nHATlbaPkUziSUYBUNG7z/k3/eILM52nenVYtIiVm6twyaUeMrM9XH453HOP8yGUKbkjZmqynScZRQoJnE4pp/fMmmVGeIFJ3v/3v1IGKaVRZc0f5PjNZYcIn87kpLQ0ePpp8/jOO8v26iGWFTtpr1atGh6PB4/HQ/PmzQMS9+zsbFJTU7n++usdCVJy5f6fT+MqXj92PBdaDkeCZ3rNm8lO2cc5zAdKV8Bq4kSzSll2tpnO/d57UKXK4X8uoowcaXrOfZo2hf794cor4aij7MV1CL5O2E0kUo+NjOAZuwE56YYbzLy3446zHUlIeaJNI/9DM1ZgPnvEXQTGxJi5NEOHQq9etqMJO9H79uYl7ADR3mzn3iwnx1Rqvu8+cyO3cWN2rU3h/IuqsHs3tG8PkydH4O9YmPP9d9ZjIwCVSC3d/7HXa9rR6zUVYbW6knVFFoaN9MKhTpk61dyIb9jQLDsk1hQ7aR83bhxer5fBgwfz4IMPUsUvCyhXrhyNGzemffv2jgQpgXRgcZ+fK3dhEufyIPdxHw8dUUd7To7pcXnsMbM9cCC8/DKUKxfUUENvxw54+20488z8XvNevWDKFFMoq39/U9k6zK9cK+1YzT28xXMMYxLXkEIl6od3yCWXnZ1/F/7EE+3GYkPunZnW/MYdjOVfjuIHz6WWgyqhiy4yKyk0bGg7krBUsG5BoalNwbJrl5nq8+mnZvuaa8h4ajwXXlCeVaugcWP48EMoX96Zty/Tgt2mHo9ZX/Wpp8xJOszPVWVBUfVHQE1TSGYmPPGEeTxqlBlBJ9YUO2kfMGAAAE2aNOH0008nVg0Xcr7RDRrC4z6+9txDFdbQkPQKJVtO48ABGDTIFPcEePBBuPfeCD4BZWSYMf2vvWYuWjMz4eabYfx48++dOsHmzRF1xVp5x2oe4j6WcyyTuIYEUoGqtsMKnq+/NkM83nwTTjrJdjR25CbtDVnHWO7iE87nByIgafd6YefO/KJYTTX96mAKXew7cQ/9t99Mtf7kZHOMe+klvAMHccPVZlZQpUqmhlnt2g68t7C+0en04W3eoW/pXsjrzT8JV64MKtYcNrxF1IVSh1gR3nwT1qyBOnVg8GDb0ZR5xSpEt3fv3rzHrVu3Ji0tjb179xb5R5zjO8hcyZsMW3ad5WgkmI5L+5Xz+Iz3uITGrOHrLsU/ue/aZWqwvfWWGdn66qtmNGXEJexeL/z8M9x0k1kG58ILTVdSZqYpIOefCEZFRVTCDhCV2wHdnL/ZRXX+5ajIa6OD2bnTDJtbuhReeMF2NNZkNDqaT+metx1FTmS08XPPmaJYX31lO5LwV6BBi7r4L7V77zUJe5Mm8P33MGgQTz9tBhf5apiFSakOV9pXOZHP/L7HcATnU68Xrr3W9K6XskaNBN/BhsdHxPE6lBISzHFoxAioUMF2NGVesXraq1WrxqZNm6hduzZVq1YtshCdr0BddraD87vKOr//9+oZwVvHW+y7evPDdOZDAB7jTnK8jxXr55KToXt3WLEiv9Bzly4OBuqknBzo3Rs2bTLbiYlmjvpVV5llpyJcVG4PXTQ5ANRgp81wgsfrNesIrl9vipb51xooY9LbnM4QJrMZs/ZyRCTt335rCmRlZZnlEM86y3ZE4a1Ag/4c14k2wX6PKVNg9Gh48kmoVo2PPjIjU8F8vc47L9hvKP4CltcFco7kxswzz8Arr5i7LF27ls3pQuEs93u8l0pUJsVyMGHskkvMdVlWlu1IhGIm7fPnz8+rDD9//vwik3YJAf2/u5df2zbnb1YU40d++QV69ICtW6F+fTOaPGJy25QUc4dh1iwzXz0mxsyFvvZaWLXKzFM/5xxXVSl1zRreBb38MnzwgZnr9vbb5s58GVWwPcM+ad+82SwzkZUF/fqZUS5ySAXb88nKD3FDaV80OdkcD0eONNu1a5uEDzNS/vLLzb2xG24ws4TEWVX2rGUgnwTsK9H32L9S/LhxStjDkK89MyhHB74FYD8Vw/t4bUtMjPkj1hWrFc4888y8x2fpLrw1f5x4BSvnrGE4zzlX/Eas8G/Pi3mfeQsfh7vvOOjzP/kE+vaF/fvNqPFPPzUrnYW17GyYN88sI/X++2YZETD7fAvIP/CAtfCcFlWsyUgR5q+/4NZbzePHH4eTT7Ybj2We7Cwq+fXahHXSnpVlDiKbNpmh8RMnuuQuksP8/o+yiC798PjPPjMjinbtMqOL/Kozb9wIPXua4/y555pZDGoi59Xd8CtD/ZZ468oXxf/hv/4yN8C8Xrj+et0IC1OZ5Ssxix7soQrf08F2OOFn4ULTgXLVVS6oZuweJb6MnDp1KjNmzCi0f8aMGbz22mtBCUqKlh5fg6W0sB2GOCLwSqzK7jUHfeaLL5rRSvv3m6Vev/kmzBP2tWvN2M6GDU1y/uabJmE/5hh45JEIGh5QOq7raU9LM0lferoZrzuslOsYu0DlLz/gH5rnbYd10j56dH5Vs/ffL9MjJErCW6ky3ZhNV+YQSyaZniO8oM3ONsVHevQwCXu7dnDGGXn/vH+/WSRjwwY49lh4910Vbg4V/+/sb7RiIWcW73u8dau5y5KaCp07m8KpYXsAKNvS6zSiJ7PYSm0+pidtWQSouQBzw2n0aDPt7dFHbUcjfkqctD/22GPUrFmz0P7atWvzqBrXcb55VjquuEvhkROFC9fk5JgRdzfdZB5ffTV8/LG55g47/oV3tm0zczM3boTq1c36zz/9BMuXmxNDUpK9OEPoYEvMRKx9+6BuXVNV9tVXXTqUoIQKfI/DNmn//HPznQSzBu8xx9iNJ5KUK8cXdKMSKWRQjne3nV3y19i+3RQjeeghs33jjWb1hQYNAHN8HzDATIGqUcOMtq5aNXgfQQ4j90v7Pe05md/Iohh3S7KyzHKJq1fD0UfDjBm6yxIBzmQhPZnFI9xNOQ7YDic8fP21KYBZrhxcp6LX4aTEkxTWrl1LkyZNCu1v1KgRa9euDUpQUrR6G37mWu4HHFwbViw59DJC6elmmrdvkMsjj8Bdd4XZXeH0dDNuf9o0M8xz4kSz/+STzZ2Gzp1Nr1IZHWqV0vRE2vM9P3B63r6war+SqlkT5swxF6laewoAT3TgjYtbGB+ebdypkxnCm5RklhaTYvO1pwcvsWQRTQkLNC1aZIo7rV1rqjFPnGiGx/u57z547z2T833wARx1VJCCl+LJbeR49nEDL+HFw4+Hq1wQE2OKD6xcac6DuXWgJDz5vscxud/frsylAml4PHEWowoTvg7YwYPNtZyEjRIn7bVr1+aPP/6gcePGAft///13avjWeBVH1Nu4iERM1fidcWWjd7KsKHQTxq+nescOM0zyu+/MRdyrr5prg7Dg9Zo7stOmmXWI9uwx+xMSzNDA8uXN2fH55+3GGQa8lSrzI+3zthdyxiGeHcbS0/OX24uOVkbhL3e0QTpxdOA7/qIlYbnieUKCmaaSk2M7kojjyczgVp7nGW4DzGiKEtmyxSTsRx9tpiUUmB70+uvmpizApEnm/orYUYU9vMRQcvDQ1lOMcoM33mhuwFSu7HxwUiqVNqxgP62pQHrePq3Tjrmp+MUX5tzuW7JCwkaJxzP269ePW265hQULFpCdnU12djbz589n2LBh9O3b14kYJY9J7GZwCf93wouWY5Fg+qzWAH4nv8Ks7+Tx77/Qvr1J2KtWNcfSsEnYJ0wwS3x17Gh6i/bsMcM7R482B/4IW0fdab7R4ymYucNDmByevbCHkpVlli+6/noz6VYC5Tbyb7Tm19yFwMKmjb1e0wPouyHo8bhqdYZQicpIz0vY4QjWaT//fJg+3Yx9L5Cwf/edmfYEZiTVgAGljVaOSO6XtjGmtkzUoZK5b781NQl8lLBHBq83IGEHrdMOwGO5yw1ffrlZn13CSomT9oceeohTTz2Vc845hwoVKlChQgW6du1K586dNafdaX7D8sr8gcVlfq7+P1rxO/dg5jh6vfDjjyZh/+cfaNTIXNBZXbxh927IyMjf3rrV3FVISICBA2H+fDNU+pFHTOUkCVBh10Zu5RnGcif1WcdqGtsOqeQeecRUPpw+3SwXJgF8w+OP4l9u4nku5d3wOVa/9BJccAH06RNYc0JKpGBtisP2zq1aZZavXONXXLRfP6hSJeBp//1nCoxmZJip0Q8/HKSApeSKuDIu8nv8xx+mCOepp5qKgRIxXFdjJhiWLjXzcTwec9dQwk6Jk/Zy5crxzjvvsGLFCt58803ef/99/v33X6ZMmUK5MjpXNXTyDzJhcyEoQeFrz/1UZBs1Wbo2gbPPNjXc2rQxCfzxx1sILDPTrCfXp48pOvaJ39q1AweasZybN5tiVmefrWJkhxC/bTXPcBuDmMpWaodvkbKD+eYbGDPGPJ4wAZqG5cBvu3J//2uzjee5hRE8Ex5t/OOP+UvznXaaTiClUKKe9Y8/hrZtzQ3NG2886NP27DFFx7dvNyVApk3TodSmrfXbcBMFpnQVvNG1ZUt+pfgGDVTXwwXKfIdYTg506QIXXgjHHWc7GilCiee0+zRv3pzmzZsf/okSPLlHk0uYSczSEcAzduORoGmUtoJotjGDS3mWEbDd7D//fHjrrRCvxuT1wpIl5spx+nTTo+6zYEF+4aqGDQsVUJKD812ENyGZDOJIJZ6TSbUbVHHt3GnWj/aVtQ6bORrhJaduIt/TntP5AQiT6vHbtpnCZ5mZ5m9f8i5HpFg97VlZppqcb6hp+/b5hTmLeGqfPrBsmakL+PHHEB8f7KilJPZVSWIGl/ICN+ftC/geHzhghkP4ahOoUnzkKeLAXObntLdsCXPnmt9vCUvFStpHjBjBQw89RHx8PCNGjDjkc595RomkY/wOMrXTDr6Ot0Se/usfpRtvAnAPD/EI99C2rRmpFHPEt9aOQEoKdOgAf/6Zv69WLZOw9e8PrVqFMBh38USb7290buGqBPbZT+iKw+uFa66BdetMDQMVFTyozBNa05e3WUsjIAyS9uxsMxR7wwazrNuUKeplL6WCSfvvsafQ1n/H1q3m/3z+fLN9yy1meb2DjES89VazCEPFimYgU716zsQtxefxFC4waBI6jzkeXnutKcBapYoqxUe43VShKnvytnV4BOJUQT9cFSsd+O2338jMzATg119/xXOQ3+qD7Zcg8f//1X+1y+Q36An8BZhc2fGEff9+WLw4v0RxpUqmgFxcnClZ37+/KTymXoRSi4rUOXQTJ5oq17GxZthHpUq2IwpbBU+B1pP2e++FefNM1+3776vtgqBg0n5/1ecY4ttYudIML12/3vyfv/IKHKJA7wsvmD8Ab7xhhsaLfQkpm7iMmQH78nphn3jCjEKLjjY97KrfEpH8v8fdmI0XD3spo0UEN2wwq/3cequZBilhq1gpwYIFC/Ief/XVV07FIofxd4vebP7oZwbxKsra3cV/ybe+vMNi2rDMc7szb5aTA19/bS48Zswww2Y3bzbl6cHMT69XL39bgqKo5C0i7nMmJZmepLvvNgUW5KA8eIkmO2/batK+di08/bR5PHmypaIYLnSoBm3Y0NxtjY+HmTOhRYuDPnXOHBg2zDweO9ZMI5XwUHv9r1zL8LztHswy7b5/f/40h+eeg3PPtROglFp2XEXmczapJPAF3fL2R8Q5OdiefhqefdZ04Hz5pe1o5BBKVOokMzOTmJgY/vrrL6fikUPYn1CbRZxiOwxxROCZ4hhWBv/ksXIl3HOPWcbj7LNNcp6aapKyf//Nf16LFkrYHRAVXcQcuki4QOjZ00y4HT7cdiRhr/yPC0n2W5m9xGt4B1PDhrBwITz0kJk0LcERG8vFvMelvEsF9lM+Z7+ZhgBQoYKZlL5o0SET9mXL4LLLzP3TgQO1HHI4W86xfEYPvJ4oM4fhxx9h3DgYOtR2aFIKB2rV5xzmk0wT3qYPzVlpOyQ7tm+Hl182j0eOtBuLHFaJBt/GxsbSsGFDsrOzD/9kCTqPJ3+Iljcirval2Aq0Z9ALorz+uhnq7lOlirlq7N/fzGHX75Pjikraw9qePfnLUtWpYzeWSFGg5Lf14fGnnWb+SNB4YqJ5n4vpxmy2UIfKm1LgofvhgQfME+rXP+TPb9tmCozu3QtnnGGul3X4DS++odO/0IZT+AUPOXg8ud/tWrXyh0hIxPJ957rzGc1YxX4qMpQX8Xgq2g0s1MaPNyNITj4ZunU7/PPFqhIvKnL33XczevRodu7c6UQ8cgi1N//BKJ7I3dJZ3k2KuglzxBdyGRnw4Yem0rtPly5mnnqPHvDOO7Bpkxnm17GjrhhD5EDjYziHwKFnYftf/8EHcNRR8NFHtiOJKL512n2u4+XQtrHXa0bT/P57CN+0bIohi8qkmI0HHzRZ+GEcOGCGwScnmxUTZ848aH06sSn3S1uODAYylRyiuWDbZMtBiRN8HSSDeJVKvu9zWbF3b35h2dGjw/iCRHxKXObqhRdeYNWqVSQlJdGoUSPiC6xN8uuvvwYtOAmUuP4XGrEWgNRyqlbqLoV72kt0/PR6zZDMadPg7bdhxw445xwzDB4gMdGsK+vrOZWQ81auzHzOydteyBkWozmEdetgyBDYtctUSO7Vy3ZEkcOvp70TX/M9HTghlNdBEyfCI4+Y+bbJyVCzZgjfvGzweHO4mfGMx6+3NT4eKh+6iJVvEYbvvjOH4Vmz1DzhynfurUAaUxkMwD2rr4btvdRoLlFxSzLbOIWa7MjbV+bWaf+//4Pdu00xRRXViAglTtp79eqlKvGWfcL5TG09AQ1kcY9v6lxMy01fUJ8NefuK9TVbu9aUHZ42zcxZ90lMhLZtzZWi74WUsFtVYOQ0lzKDWuF2KM3ONsv77doFp5xi5kNLsfl62ldxFN9iVmQI2ely0SKzvBiYqvFKLhzhwRuYsEOxGvmxx8wsJV/R8eOOcyhAKTVv7k30ZqzK25cWVZEK+k65hsebE5CwlzlpaeBbovuuuwpfoEhYKnHS/oBv3paEXu6FQZm7G1gG/FLrPBqwnjsYy1juKv6c9kGD8tcDrlABLrrIzFM/5xxzdShho9yebVzHx4zhXt7kCnZSnVq2gyrokUfgm2/M0mBvvaWxuyWVe+FTl80MZjKpJLDCE4IicNu3w8UXm6kxvXvD7Q6tPCGFlnwzOw99Qn7vPbP4Apgl3lR0PLwV2cbiemXq2jo93dQ1mjcP+vWzHY0UU4lvrTRt2pQdOwrfndq9ezdNmzYt4ickaJS0u5avPTOJZT8VyCQ2sI2zs2HuXLjqKrM8m8+AAXDWWTBlitn/xhtmXXUl7GEnbss6JnADA3mVvzmGbGLC63v8zTdmbi6YYXNHHWU3nkiUm7QnsI/JXM2jjHa+jX2jI9atg2bN4NVXNTfRSSX8v120KL8G6LBhcP31DsQkQbUz6QQe5D7bYYiTyvoxslo1M5/9jz8gNtZ2NFJMJU7aV69eXWT1+AMHDrB+/fqgBCVF8x1jevAZfZfeazcYCara6Wtpwy+8RT/i2c91TDTtvXQp3HGHWb6pa1eTlE+fnv+D/fubgnODBh12TqXYFZV7HyWJjWTk3pwJGzt3msQvJ8f8Tl1xhe2IIpK3alWWkr8eekiqxz/4IHzxhRlpM3OmpsE4rCQ97evXm5IQaWnQvbtZDlnC3/5q9XiNAbbDEAcV9ZUtkx1iMSUecC0WFbu1Pv7447zHc+bMoYrfhUF2djbz5s2jSZMmwY1OAnj9ipUlpv5jMRIJtr7Jj9GDiQCM5En2U5HbvpoMJ/gVdqxeHfr2NUPfJeJE5V7sx2BuesaSFT4XCOXLm6xi3jwzfleOSE7To7mAj/mXo4EQrNOenQ0//WQeT5wILVs6+35StCJGNqWmQs+eZqGOE04ws000ACpyBH3ZVZFwkJ0NN99sOnpOOcV2NFJCxU7ae/fuDYDH42HAgMA7kLGxsTRu3JindRvZWWFzhS/Bl9+29zHGLCW0GzNsqUcP0/vZvbtZtk0ikiec67xUrAgTJpi12StVsh1NxCp4iHa8pz06Gj77zPzp2dPBNxKfgu1Zv56XgoMMc3LgyithyRKzrPcnn2ggVCSpsG8bPfg0YJ+SeHfxjZjZR0UuZzoevOyimvsvs997z0x/e+cdMxSoQhiN+JPDKnbSnpNjegyaNGnCokWLqKkqmiG3+piufEBvLuRDJfBu49eclUnhA3qzp2VHBs4foCrQLlFUcVbrX+MtW0xW4QtOQ6tLzf/i3rGkPTs7v9s2OloJe5i56y746CNzj/XDD6FxY9sRSUnUWr8kYIWAYYwj+aSL+fgQPyORxVsujp9oRzrl+Zgysqyp1wuPPmoeDxumhD0ClbjvJzk5WQm7JWlV6vIVZ9kOQxwReGW/l8rMan6bEnYXiYq2naEXkJYGXbqYWgn+xQ3liMX8s5xVNMvbdixpv+46uPZaUwFYQsrjgauYxo28SF02Ffr3KVPgiSfyH59+eogDlKBazrGMZxjby9e3HYoE0YEaSZzGT/xMOyYzmMYk2w7JeZ9+agrPJSTATTfZjkaOQImT9ltuuYXx48cX2v/CCy8wfPjwYMQkB+Hx5PfieK130UkwFWzPMlkQxeWKStqttvHIkfDXX/Dnn2HQ5e9OjiTtkyebP6+8Ar/8EuQXl+J4g6v4k5ZsJpH1GzxmFQ/gq6/M/RSA++6Dyy+3F6OUQu6X9g9acjzLLQcjTvAdly/jXQYzlZt5norsc++p0Os1S7oC3HijqZEkEafESfvMmTPp0KFDof2nn3467733XlCCkqJV3fo3Q3kRKNgvK5EvsEX78zptN2ownptkN2hMP6Yf/omh8OGH8NJL5vG0aVCnjtVwXKPAHIjBTAnuReCvv8LQoebxQw9Bx45BfHEpDl97xnEgf+esWfzzD1x8MWRlQZ8+8MADVsKTYMht5ChyGMY4NpLIjWvusByUOMHXETaCZ6nOTsvROOirr+DHH82cnVtvtR2NHKESJ+07duwIqBzvU7lyZbZv3x6UoKRoddf/QjNWAZAek2A5GgmqIq7suyRPtBCIOMVTtQqzOD9v+1s62Lmrv24dDB5sHo8cCd26WQjCpfyS9i7M5TN6BK+Nd+40WeGBA2YO+113BemFpSQ8HhjMZL7k3Lx9OXg4/3zTRO3awdSpGrwSyXxtF0UO47iVRDZz6abn7AYlQVV+xwbW0JCGrMvb5+oRjr657FdfDXXr2o1FjliJk/ajjz6a2bNnF9r/+eef07Rp06AEJQdjjiZz6cIr7ZTQucmvtbuRRnnbYYiDoqMDi5Sdy9zQB5Gdbcpa79oFbdvmD5eToPBEm1PqXioxjy5mXzAuAnNy4KqrYPVqaNrUjI4oqrKhhMRkrg7YTkmBv/+GBg1MATrVd4pwuV9a/6Hxqh7vMtnZAQk7uLiNvV644AJz7rj9dtvRSCkUu3q8z4gRI7jpppvYtm0bnTt3BmDevHk8/fTTjBs3LtjxiR/fxZ+r7waWUYvr9iCefYzkKZ4gdxieGtlVolN2cxGf8ih3MYNLOUBc6Jv40Ufh669NIZq33oJy5UIcgLv5kvbKpNCHt8kmmnVcWvoXfuQRs6xb+fIwcyZUrVr615QjUtR3NiPTQ0ICzJqlTixX0LnX9Q7WxK5seo/HrM0+dKhu9ka4EiftgwcP5sCBAzzyyCM89NBDADRu3Jj/+7//o3///kEPUPzkHk1cezewDPN4wEsUmcT677UWjwRfzOb1vMogtlCbu3nUThA9e8Kbb8I998DRR9uJwc38Lojeph8pJNDVE4SkvU0bqFYNnnkGWrUq/etJUHnxMH06nHii7UgkGPbWOZoXGMpNuTWExIWKyM5df22thD3ilThpB7jhhhu44YYb2LZtGxUqVCAhQfOrQ8FXYfwc5rNt2VjgTrsBSdBUPbCF49jFdC4nlQQmca3tkCTIfOfLGuxgN6YuSGd2cQSzlI5cq1bw+++mGI0EX4UKbCSRpNylwIJWPb57dzP+WktAWldUe3o85n6YuMP+6vV5iRuVtLuYJ6ropN11Pe333gvHHAN9+0LMEaV8EkaO6GoxKyuLL7/8kvfffx+v19yZ2rhxI6mpqUENTgJ5/I4m9fcstRiJBNtFq55kGS3YQl2u42VAy/q5TXSMac8YsqnCXqqwNzR39r1e+Oef/G0l7I7x1qrNOczL2y5V0n7gAKxdm7+thD1seTUqylX8l9cVdyoTl1erVpkpcVddZZZ3lYhX4qR9zZo1tGzZkl69ejF06FC2bdsGwOOPP87IkSODHqBIWeCfoLdlsXlQJs4qZUhRw/FC0cSvvAItWoBqjjiuYHuWKmkfPtyMjJgzp5RRSTAVbM/ypNEifo2dYMQR5fbv5iy+CtinJN5dfDfaMoilL29xBW+wjVqWowqyJ54wRUzPO0/TqlyixEn7sGHDaNu2Lbt27aKCX4nUCy+8kHnz5h3iJ6W0Nh3dkfmcbTaU0LlKwdb8nP/xYcv7rMQioeP4heCyZTBsGGRmmgWkxXH+bXrESfu0aTBhAuzebUZKSNgo2J4HKE9GlFb+cJPq6//gRW7K236Yuxl88u8WI5Kgi43lL1qwjON5h75M5wr24aKpvuvXw6uvmsd33201FAmeEift33zzDffccw/lClQdbty4MRs2bAhaYFLY/qpJfEZ3s6Gc3V0KXAnupiqrq59sKRhxQpFz6DwOJmRpaWYeW1qaWYt9xAjn3ksAiNq5nWW0yNuOJrvkSfvvv8N115nH998P//tf8AKUoLiWl3mA+2nOSkD30N3Gvzn/phn38jBr44+zFo8EX2a12rTkLz6jO89zE0m4LH95+mlzs/6MM6BDB9vRSJCUuCpBTk4O2dnZhfavX7+eSpUqBSUokbKm4Px1VxZEKeOKStoddfvt8OefULs2vPaaKseGQmmnQOzeDRdfDOnpZkjjvfcGLTQJDo8HJnEtbfiFvziBcmQyMe0m4HnboUmQ+I7VKziG41hhORpxgu+4PIipJLKZrdTmGUaAG3rbt22Dl01tJPWyu0uJr+K6du0asB67x+MhNTWV+++/n+7duwczNimg0s41DGJq7pYyOncJbM++vEOLzZpu4iY5dZO4mfEB+6KcGh7/0UfwYm7l42nToE4dZ95HAhXI0Pszrfg/m5MDAwbAv/9Co0bw+uu60RLGypNOOTIB6Jk503I0Eky++c4evAzhFZZwEgPWjLEclTjBN51pDPdTl82WowmS554zI+zatoVzz7UdjQRRia8Inn76ab777juOP/540tPTufzyy/OGxj/++ONOxCi5aq9dTAuWAZAdpaUb3KSoSvHn/P2ShUjEKZ4qlXmHPnnb39PemTfasgUGDzaPR440Q+MlJDzR+afUi5jJm1xZ/J72KVPg449Ndf+ZM6FGDWeClFLxeKAvb/EtnfL2qXq8u/h/Z1/hGk7iDwasedBeQBJ05fZsYxnHUZcteftcU2ywc2czLH70aM3dcZkSZ37169fn999/5+233+aPP/4gNTWVIUOGcMUVVwQUppPg881//YaOTO0wmTMtxyPBs7JWR1jxhO0wxEEFz50d+J5Toh14o1q1zJC4mTPhkUcceAM5KL+e8U/pAZTgmunKK+Hnn+GUU6BNGweCk2B5i8sDtnVZ7DK5DXoMf9uNQ5yTne3eqQ+dO5s/KmLqOkfUXRsTE8OVV14Z7FjkcDz5Q7Z088xdltTrQXnSuI2neYR7zE41sqt49qXSmfmM5Q5mcb7Z50QTR0WZonPDhkG0E3cF5GD86xb05kPSqEAqPSlWWle+PEyc6FxwEhRFfWeLGiklkSvk9Uck5Ir6yrqmp91HxyXXKVbS/vHHHxf7BS+44IIjDkYOTRcG7uXxmKWDdlPVf6+tcMQBns2beJt+7KYKdzE2+G+wfDk0aAAJuYV0lLCHnP/w+HfoC0AXTzYH/S5nZJhh8ddco/aKEEUm7TpWu8q+mo2YTj8u5y3boYhDXHljZvJkSE6G4cOhZk3b0YgDipW09+7du1gv5vF4iqwsL8HhO8R05DvWLh8P3GIzHAmi+MzdNCSF97iEePbxBHcoZ3cZ38V+AqlsIAmAft5/gSBMK9q92ywNVr48zJoFzZqV/jWl5KKjSaM8FUjP23XIe6233QYvvABffQVvv+14eCJyeGk16vMUtytpL2Miuqc9IwMeeMCsz16/Plx/ve2IxAHFKkSXk5NTrD9K2B3md/XXYOcSe3FI0PVY8QxraMwW6nIxvkrEytrdxHdnP4ZskthEEpuCM+fM64Vrr4W1ayE7W5XiLfJUKM+p/BSwL8pzkDZ+802TsIOZzy4RQT3t7ufxRHgCJ4fluoGrr79uEvbERBg40HY04hCVII8kfkcZtx1vyjr/i75T+dnsc91ZpYwr7RreB/PKKzBjBsTEwFtvQeXKQXhROVKFLvaLujHz11/mRgvAPffA+ec7H5g4ogbbqVndw0rbgUjQxKSncgqLAvYpiXcZv5PvQKZSjgy2EKE3vLOyYGzulLuRI82IO3GlYi/51r17d/bs2ZO3PXbsWHbv3p23vWPHDo4//vigBieBtjduw2JOBpTQuU6B9pzP2cw9YYSlYMQJjhS+WbbMFJwDePRRU3lcrCmqjQv1tO/dCxdfDPv3mzV0H3ggJLFJcBRs453UYE90dTvBiCOqrvuTl8kfXjyRa7i5zQ8WI5Kgi47mP5rwH014jQFM4lr2BNQUiiDvvQerVkH16vk3g8WVip20z5kzhwMHDuRtP/roo+zcuTNvOysri5Urda/ZSfur1WMGl9oOQ5xQ4EpwF9VYXedUS8GIE4oqfHPQodPFkZ4OfftCWppJ/m67rRTRSVBkZ/M7rQJ2BXy1vV4YNAj+/tsUDZw+XQXoItAtPMdL3EC73KkQuofuLv7t+S9NuY6JrKii87GbZFWpwVH8x2sMYCx3UouttkM6Mjk55oY9mAJ0vkK04krFHh7vLTDEr+C2OM9/npWuEVymwFWflvVzoWA36AMPwJ9/mnXZp00LWCNc7PCvHu8TcGNm2TL47DOIjTVTGlThN+J4PPA8t3A8S/me06nCXsal3g08bDs0CRLfDdb/aMLR/Gv26XzsKqY9vTzIAwCspz5TGQREWNL76afmOqBSJbjpJtvRiMN0lRdBKu7eyGW8C2h4vNsUbM+L+ICmWzQcz1Vq1uQB7g/YVaqe9mHDTA/7a69B3bqlDE6CoeBoiuuYgDfKrye9RQv48Ud49VU4VT13kch3qK5AGlXYC8CFadMtRiTB5qsx48FLX97iS87hkjVPW45Kgm0UT+Q9fp5baMhai9EcoRNOMEuGDh8O1arZjkYcVuyedo/Hg6dgb6ASx5CqufY3WrPEdhjihCK+S52XPg+0D30s4ghP5UpMYTAP8CAASziJnNLcN01MhDlz1AUUpm5mPBO5jvMKNvFJJ5k/ErF68jHTuTxvW9Xj3cX/kPpWbjufs2o+oClIbhGTupvHuTNgX0QWG2zSBCZOtB2FhEiJhscPHDiQuLg4ANLT07n++uuJj48HCJjvLs76lda82ellOtkORIJmTY2TC+/UdaCr+F8IphNHa5bQoaTrd2RnmzW9zzmn8IuKdR4PZBFNDNnM5GIAYryZ0PcquPVW9a67gMcDH9PLdhjipNwRM01YbTcOcUyUV0tUS+QpdjfPgAEDqF27NlWqVKFKlSpceeWVJCUl5W3Xrl2b/v37Oxmr5F6gZxMdOORSIt6fDbpTib0Fhk8rIXOVtDTasJinuI2efHJkr/HYY9ClC4zQygLhyjd64lzmcg5fcvWKkfDOO9CzJ+zbZzk6cYaO1W6iUaRlU0T1tP/4I1x2Gfz2m+1IJISK3c8zdepUJ+OQ4vBfp13nFFfxeCCVSmwkKW+f6ha4zLZtfMBFpFGe23kKKOH3+Lvv8pcHa9Uq2NFJkJQjE4DXGGh2rM79h0mTIHdkmkSuIr+zOlS7Slq1JGbTjf8xx3Yo4pRIv7569FH45BNTLX7KFNvRSIioEF0EOoVf6LjiFdthSBCVy06jBtv5kN6M5Q5A14FuFUsmf9OMv2lGxay9xfuh3bvh8svN8PgrroCrrnI0RgmyO++EXhpS7Vaa0+4uB2rW44HcquJSdkRMT/sff5iE3eOBO+6wHY2EkJL2SOJ3Z7DR1kUWA5Fg67LsObZTi63U4UwWmp2RfidYAuW2ZwzZNGMVzVhFNMWYV+f1wrXXwtq10LQpvPSSfjfCWFuKODY/9FDoAxFHFPXVU9LuLv7L64o7FVzpI6I89pj5+9JL4Zhj7MYiIVXSMkhiUcBBJoKPN1KU/AZtz4+Ahse7zpG25+TJZk3vmBh46y2oXDm4cYnzYnSqdYuCX+MGrCWxTjQ/2wlHHBCdkcbxLLMdhjipwBd5OM+yiURLwZTAP//Au2bpZ0aPthuLhJx62iPIrvon8C9Nc7eU0LlKgRPId5zO9y2utRSMhMph12nfutWsxw7wyCPQrp3zQUmpqIeubFlPA7bFJh3+iRIxKq9fxmSuztv+gN7cdbLmt7uKXyfYZAbzHMPZQU2LARXT449DTg706KGlQ8sgJe0RJK16PV71FTcSdymQtO+gBv8ldbQUjDiiiJ72wyZ4tWvD229D374wcqRDgUkwLSLwxsr8BgMsRSJO8HhgJE/yLpfSVYXK3MnvUL2Ko7iID/itVld78UjQ5SRUYRdVARjCFKqyy25AxbFuHUybZh7ffbfdWMQKJe0RxneRr5HTLlOgQT141cZuU1TSXpw27tnTDIuP0uE6Er1y0vO2Q5Age5qR3MVjvM5VePFw/Z7HbYckQeRb8m0zdTiWFZajESd4PFCN3XnbPfiUioT5kpzVq8PYsdCvH7RvbzsascDqVeDXX39Nz549SUpKwuPx8OGHHwb8u9fr5b777iMxMZEKFSrQpUsX/vnnn4Dn7Ny5kyuuuILKlStTtWpVhgwZQmpqagg/ReiUT9lGDz4FVPjGbQrOX+/JLOpv0/qbrlK5MjO4JGDXQXvav/kG1q8PQVDipBE8TXZ0OdthSBD5DtUV2U8dtgJwceqr9gKS4MsdOp1NNOfxOdPpR/d1L1sOSpz0BlfRjH8O/0Sb4uNhxAiYPt12JGKJ1aR93759nHTSSbz44otF/vsTTzzB+PHjmTBhAj/99BPx8fF069aN9PT0vOdcccUVLF26lLlz5zJr1iy+/vprrr3WnXOBa6z7nVN95W6Us7tLEV2uZ/4+3kIg4piEBC7lvbzNv2mG11PEIXjDBrjwQjjxRPj99xAGKMH0OKN4nason+XOm8hlWWfm8Q598rZ1E929PuEC+vE2tyy73nYoEkTeffsL7VM9Egl3VkvannfeeZx33nlF/pvX62XcuHHcc8899Mpd33batGnUqVOHDz/8kL59+7J8+XJmz57NokWLaNu2LQDPP/883bt356mnniIpyZ3FYZJpzIednqGT7UAkaLZUP852CBJix/A3Z8UW2JmdbdZg37EDTj4Zjj3WSmxy5LZQmzps5Ts6sI3apM+uCOE+7FKKzeOBeXSxHYY4yDc8vh4bLUciTslML7zcatgm7bt3wwUXwE03wSWXaKpcGRa269AkJyezefNmunTJPzlWqVKFU089lR9++IG+ffvyww8/ULVq1byEHaBLly5ERUXx008/ceGFFxb52gcOHODAgQN523v37gUgMzOTzMxMhz7RkfPFlOPNASCFShyIKheWscqRWdqgKzXYzgie4W4eBcDrQW3sIpn79lEwR4ccMjPzLx6iHnuM6AUL8MbHkzVtmjk563cgYmRmZpKTO4DtdL4HINqbpe+xi2RlFW5LLx61sYvk5BRO6EDnYzdJT88qcn84tnHU+PFEf/MN3p07yerVS0l7CfjaMxzb1V9x4wvbpH3z5s0A1KlTJ2B/nTp18v5t8+bN1K5dO+DfY2JiqF69et5zivLYY4/x4IMPFtr/xRdfULFixdKG7pj/klfnPV6zZjWfffaXvWAkqNatO4GdHMU/NMvbl5KaymeffWYxKgmmuN27+V/u44/pCcCOHTv47DOT3FVbsYKOucel34YMYd2qVbBqlY1QpRTOIQWAOzHFyWJzMvhI32PXyM6Giwrs8+bk6FjtIqvWQ0Xa5U9HzKU2do9lP8dzVoF9Hrxh18bR6emc+9RTRAOLu3Zlw+zZtkOKSHPnzrUdwiHt3194ukZRwjZpd9Jdd93FiBEj8rb37t1LgwYN6Nq1K5UrV7YYWdEyMzOZO3cuTZs2AeBE/uTSjO/p3r2v5cgkWL6cnUUF9jOL85nINVzLJCpVqsRZ3bvbDk2CJNOvsNwFfMISTuK+yl/SvXt32L2bmGHD8OTkkNOvHy2ffJKWWj4g4mRmZhZZgbi7vseuceBAET0iUdFqYxf5jGxuf6YaX3NmwH61sXvEHih8nPbgDbs2jho/nuiUFLxHHcVJjzzCSTFlMm07Yr786dxzzyU2tvBYx3DhG/F9OGHb+nXr1gVgy5YtJCYm5u3fsmULrVq1ynvO1q1bA34uKyuLnTt35v18UeLi4oiLiyu0PzY2NqwbNdrvy9pk84/Exl5lMRoJpjOXv8TzDAfgO04HwOOJCuvfRymhcoFVxE/iD2K82aaNn3wS1qyBpk2JmjCBqHKqOB6pTuc7vqdDwD59j90jJ6eovR61sYvExnqKnN+sNnYPr7fo9Ces2vjAAXjmGQA8d9xBbIUKlgOKXOGe3xU3trCdGNGkSRPq1q3LvHnz8vbt3buXn376ifa56xO2b9+e3bt3s3jx4rznzJ8/n5ycHE499dSQx+w0/wq16oNzm/wW7ZA7F7bgMnAS4Q7Vng8+CEOHmvXYw3C0j4gYBb/Gx7Kca2p/ZCcYcURUVgaNWW07DHFQVnbgF/luHmYjYVa8eto02LgR6tWD/v1tRyNhwGpPe2pqKqv85mwmJyezZMkSqlevTsOGDRk+fDgPP/wwzZo1o0mTJtx7770kJSXRu3dvAI477jj+97//cc011zBhwgQyMzO56aab6Nu3rysrx6cmNWM7NajJDiV0blOgPRfRlt+Ou4LTLIUjIeLN7c2pUAFeeMFuLBIUYVuBWByxkmM5EL4dOHIEEjb+zWsMzNv+lg4sOOlW7rUXkgSZ/4iZGVzCo9xtL5iiZGXB2LHm8ciRUMToYCl7rPa0//LLL7Ru3ZrWrVsDMGLECFq3bs19990HwKhRo7j55pu59tprOeWUU0hNTWX27NmUL18+7zXefPNNjj32WM455xy6d+9Ox44dmThxopXP47S06vV4iRsB9bS7ToGkfQc1SG50lp1YxBlF3Gi7YOMEU9lKXONDegds/1DvYjuBiCM8HriHh/iKM7mUd22HIw5byvF04lu+qa3vsZucd0k8mzGFri/lPRJyC4iGjehoeO456N4drrnGdjQSJqz2tJ911ll4vQfvlfB4PIwZM4YxY8Yc9DnVq1dn+vTpToQXdjwev14c9bS7S4H29OBVE7tNEQ06YM0YuGIlvP22hYDECbXYHrA9qfX/0d5SLOKMR7iHqQziWzoyg8u4P+UFYKjtsCRYco/VByjHafwI5A+KEncoXx7qsiVv+0wWsoCzgXh7QfnzeOD8880fkVxhO6ddCiu3fzdns8B2GOKEAgldF76k1o4VloIRRxxsOUnNVXOtexlDelT4LiMqR64i+2mSO++5T8oku8FIUPlOx3upzCksYhzD6LzpTbtBiaNm0ZMT0DLKEt7Ctnq8FFZ17Z905DtARcrcpmB7RpNDx8XjgAlW4hEHHKzya7duoY1DHJVCApVI5XWu5Glu4wKP7o27TXu+5wEeyN+hXlhX8UTln4/nc455sBTgCivxiAMyMgrtCot6JF4v9OgBp50Gw4erMK0E0NVEBPHldXuozBcdH7IbjATVzipNCu3TbZkyQjfgXGUdDQD4kdPYTzwvf97AckQSbN/Tga7MzdvWTXR3KjjVRVyk6LUb7fvyS/j8c1OELj3ddjQSZpS0RxDf3d/N1CU9rorlaCSYVjU5lyQ28Dij8nfqQtBdsrLyHqaRX0xT7ewuvqU5T+J3AKK9WYd6uriAV7dY3UXH5DIpLHraH33U/H3NNVC7tt1YJOwoaY8kfucRnVPcZxNJLKFV3rYuBF0mNTXv4QdcmL9fX2ZXScC087WYec4JmbstRiMiJZVduRp/08x2GOKkcDzvfv89fPUVxMaaZd5EClDSHkF8x5hj+JsTVs60G4wEla9tP+c8ZnBJwD5xn8t5y3YI4pD6rLcdgoSYbrC6S2aNugzlRdthSIhZ72n39bL37w8NNK1KClPSHkn8srimG76xGIgE2yl/TsWLh91UI5FNgOZJuk4R7Tmu6XMWAhEndWa+7RAk5HSsFoko4XZ9tWQJfPopREXBHXfYjkbClJL2COJf0VTcxf/84VshIOxOKlI6RbTnN9V6WQhERIKlDb8wouY022FIEEXlZFGbrbbDkBB6lLvYQD17ATz2mPn7ssugmaZmSNG05FsESavdiExiiEWFjVynQEL3By1ZfsyFnGYpHHFAdnbhfd4wKHwjQWV9iKWE1K+0oXE521FIMFXY9B9vcmXe9t804+Nj70CzjF3E75prNt24m0ctBgM8+KBZFnbECLtxSFhTT3sEOVCzHk/5ThvqhXWXAu25i2okNz3HUjDiiCLWhT1323QLgYiTJnB9wPavdc+zFIk45SHuYRnHcR0TbIciDvA/Hf9Ka47hbz5PGmIvIAm+2Fg2lWsEwP+YQwX2243n2GPh1VfhxBPtxiFhTUl7BAnI65Szu0uBpN2DV/dl3KZmzUK7rl93t4VAxEnHsjJg++WTJ1qKRJxyHw9xMr8ylBfx4qFfitrYVfxOvt2YA2hQlBslZqzJe9ya3yhPWuiD0C+WlICS9ggSnZbKqfyUu6WMzk0KFp1rzw9U27PaTjDijOhoVnGU7SgkhMZyB+kxCbbDEAd48XAifwIwZO8zlqORoMo9He+hMk35j3t4iNO3fmg1JHHWd3TkFBaF/o1HjIArr4S//w79e0vE0Zz2CFJ53VI6ssBsKGd3FU+BpD2WLNr/+Cyg6uJukkms7RDEYRtIoh4b+YJzuYuxXKL5zq5zEku4iPfztmO8mRajkWDznY89ePnJV1lmKaB6Fe6Rk1NoV8jrkWzZAhMmQHo6DB4MzZuH9v0l4ihpjyD+ed3C9nfR0V4oEmR7KyXZDkEsSI+qQHnbQUhQJdOEemxkMW3w4mHrZ42BZNthSRAtoXXAtpJ2d/Gt1FOZFMuRSCiFPGl/9lmTsJ96Kpx9dmjfWyKShsdHktysfTWNSEuoZTkYCabVTTvTmGSe4Pa8fVqn3X2SaQLAbqoAZoituEtO7mn1aFYBEK2EzvViURu7ic69ZVNIk/Zdu+Cll8zju+9WcWkpFiXtEcR/nXZ9v93F44E1NOZ7Tg/cKa6yldoAvE1fQEm7G1XMrUJ8Ke8BUCNtg81wJATU0+4uORUrsZ0atsMQJxVxfRXSpP2FFyAlBVq2hB49Qve+EtGUtEegxqyh2arPbIchQeQ7fyzkTObR2eyzGI84YxnHM5+zuZ6XAaiYs89yRBJsJ/JHwHaOvsmuF6uk3VWyq9diIK/aDkPcKjUVxo0zj0ePhiilYlI8+k2JIP497U3XLLAYiQTbcSs+xIuHXVSnHGY9bw3Rc5+JXMtj3JW3/X9JD1mMRpzQg09thyAhFqPh8a6iU28ZYLOn/ZVXYOdOOPpouPTS0LynuIIK0UWSKJ1J3CrKm5X3uBPfmge6cnCd41jOXLrmbc+rfik3WIxHRErnLBYQn1hVt2rcJCeHeDQKqix5jltYR4PQvNmgQaYAXZMmEB0dmvcUV1DSHkEyayTmPVY65y5eT+Cgl79pRnKzbr7FZsQlCt7J92oFIdcp3Fujo7WbLeQsGmtZP1eJ276Bd3LrjgDspBpvNb2boRZjEud8T3uGh3J53SpV4M47Q/d+4hoaHh9BMmom8RS3mQ31wrpKwXXa91CF1c27HuTZEqnGMTxgu+OeWXYCEcc8yuiA7eU1O1mKRJwyljvYSi3uYKztUMQBHk/+jbcfOZUa7OTd+rdZjEicsCXO9Kyfzg+U44Dzb5iTozv1UipK2iOI8nT3KtjTLu6UQGrA9q3rR1qKRJzSlsUB2xNOecVSJOKUuxhLHbZyEr/jxcNtu+6xHZIEk9/F1qXMsBiIOKnOgXV5j49mFXGkO/uG06dDu3bw+efOvo+4ljKFCBKdmc4J/GU2lMG7iqdAvYKT+J2ElE2WohGnaIm3smU8N7M/tortMMQhl/MWADftecRyJBJUuddXWURThT1cy8u03jnPclDipKWcwBl87dwb5OTAY4/BL7/AkiXOvY+4mua0R5D4dSs4izm2wxAnFLgJU45M2n33LPCEnXjEEUra3e8/mtCUZBZzMsMYz6VxtiOSYGvOSs5lru0wxCm552MPXv6ipdn3FxDKdbwl5BytHv/RR7BsmZnPfuONzr2PuJqS9gjin9f91H44HeyFIkGWFl+j8E7ld663I6Y2RbS8RLCVHENTkvmN1qQSz5a5x0KBIfMS2VZyrO0QxEG+kW/R5FiORELJsaTd64VHckfj3HSTSdxFjoCGx0cQXy/dJuqyr3LiYZ4tkWRj49M5luX5hQZBUyBc6F+OKrBHbew2vuN0PTYQz37KZ6VYjkhESkTn3jLJsaR97lxYvBgqVoRhw5x5DykTlLRHkILznsVdVnIscznXb4/a223WUx+AD+gNgFcXh65TgTQAzmM2AHX2/WczHBEpIW9cebJ1eSzB8uij5u9rr4VatezGIhFNR6UI4ru+T2QzjZMX2A1GgsrXtos4hV9pnbvTXjzijGSa8COnciEfAlAzc7PdgCToOvFNwLbqGIhElpzKVVU1vgxypKf9559h4UKIjYXbtGyglI6S9kji1yvX9F8VwXGThskL8eJhJzVIJcHsVC+s60ziGkbwTN72tMQ7LEYjTujFR7ZDEJFS8HgcLkomYcmRNm/bFt5/Hx5+GOrXD/7rS5miQnQRRDmce0VnZ+Q9PsPXU6cGd52T+ZUFdM7b/qLm5fS3GI+IlM5lvIM3sZ76ZV1Ep96yZxJXs44GwX/hqCi48MLgv66USUraI0hWNb+5MDqpuEtU4KCXZBqzoekZloIRpxS8k6/eHPcp1KbKAFxtBpfRWMv6uUr0np3M5JKAfa/Wv5uBdsIRh/3JCVzLpOC/cFYWxCjNkuDR8PgIklWzLuPIrTypC0F3KdCe+4hnzXH/sxSMOOUBHgjYbpXytZ1AxDGjeCJgO7lqa0uRiFOe4VYAHmeU5UjECf6n4+9pjwcvkxo+bC8gccS2ckkAtOQvoskK7ouvWAENG8ITT5gl30SCQEl7BNE8K/cqamUA3Zdxn2rsCti+bfUtliIRp5zGjwHbE06ZYikSccptPIMHL/Hsw4uHW3ffbzskCSL/8/HVvGIxEnFSrYyN+Y/ZRgyZwXvxsWNh0yb4/ntdzEnQKGmPIFFZGTQh2WzoIOAqXk/gV/FoVlF+/05L0YhTVEm8bJnMYPaXq2o7DHHITbwIwC27x1iORILK7/rKi4cLeZ/jUn62GJA4bRNJdOez4LzY6tXwxhvm8ejRwXlNETSnPaKU37CKC/jEdhjihAI3YcpzgNYLn4XRD1kKSESOxH805VhWkkxjrmYyfSrajkiCrQFrac8PtsMQp/idj5dzvHnwJ6CRjq4WtJGsTz4J2dnQpQu0axec1xRBSXtE8c/rfj/1WjrYC0WCLLN8pUL71CfrfhvimlDPdhASVH/SkmNZyW+0Zgu12fxVK+AL22FJECXThGhybIchDilqupq4X1CS9k2bYPJk8/juu0v/eiJ+NDw+kuRm7TupRmq1hpaDkWDa3qA1J7Ekr8ARoCkQLvQPzQK2C06LkMjnmwJRi23UZhuVDmyzHJEEm6a5uJuS9rIpKEn7s8/CgQPQvj2ceWbpX0/Ej64YI4hOJO7l8cAfnMSH9A7cKa7yH00B+IHTAF38u1E5MgDoxLcANNi71GY4IlJSWqZLjsS+fTBhgnl89926hpOgU9Iegaqzi3prvrcdhgSR79i+lBasoWHAPnGPTSTyJyfQPrfCeGJ6suWIJNi6MSdgWzdmRCKLt3wF+jHddhgSYqXuaY+Ph+++gzvugO7dgxOUiB8l7ZHEL4tr+vdsi4FIsNXc8DtePOygJmtoBOhi341e4Wqu4vW87Y/qXm8xGnHCAF6zHYI4TMdmd9MN87IpKMPjW7Y0y73pl0gcoKQ9gugY4F4xORl5j8/gG0Dt7Uan8z1LaJ23/XntARajESdkUC5gWwmeu93E8/SvM+fwT5SIERUVxEriEhGm0491NDjyF0hPD14wIgehpD2C5FSumr+hjM5VChYk20ASW5ucaikacUrBC8Eojy4M3UYX++7nfyPmRW7i24pdLUYjwRaVeYDpXBGw773aN1qKRpy2hoZcwXR+5givudLToXlzGDQIdu4MbnAifpS0R5DsGrV5EZ04XKnATZh0yrPuhPMsBSNOuZVnA7abp/5qKRJxynW8HLC9qdIxliIRp0zATGuZxNWWIxEn+J+Of6IdHrw81eRFewGJI7bFJgHQiLVQmputU6fCunUwfz5UKrx8r0iwKGmPIB6PXy+OetpdRSt/lQ21CFz+a+S/N1iKRJzSge8Ctie0m2IpEnHKMMbjwctGkthCbYbueth2SBJE/iv1jOAZALwaQOM6tTI35j2O4wAeckr+IpmZ8Pjj5vHtt0NsbJCiEylMqUIE8eRkU5uttsMQJ0QFfhUT2UTsgVRLwYhIMLxFX/aVq2Y7DHHI/YyhNtu4bfe9tkORIPJP2ndTlY58Q6P9yy1GJE5LpwKXMqPkP/jWW7BmDdSuDUOGBD8wET9K2iNI3OY1XMJMs6Gedncp0J4VSePE+ePsxCIiR2w1jQHYRVUu5y22JjS1G5AEXSIb6YqKz7lVVHT++XgpJ/ANZ/DuX8dbjEhCocT1SHJy4LHHzOMRI6BCheAHJeJHSXsk8cvrlre9yl4cEnQ55coX2qf7Mu5TsJL4fxVbWIpEnPILbQH4nZP4jyYM+76P5Ygk2FZyDHP4n+0wxCH+Pe1SdpQ4af/gA1ixAqpWhRs01U2cp6Q9gnhys7h9VCSllnpv3GRv3eacyo88y/C8fVoqyn3+oVnAdrZH89/cxve9rcIemrCaamkbD/MTEmliyLIdgjhISXvZVOKkffx48/fNN0PlysEPSKQAJe0RRD2v7vYzpzKdy/N3qMFdZznHAfAv5qabV23sOtFkA9CaJQA03fWLxWhEpKT8h8eLHNSHH8KYMTBsmO1IpIxQ0h5BfHd/49lP7fWLLUcjweTL3f7lKFJICNgn7rGT6vxHE47iPwCS0v61HJEEW28+DNjWiBmRyOKJ8jCQqbbDkBArcU97tWpw771Qo4YzAYkUoKQ9gvgncY2XfWYvEAm6SjvX4MXDTmqwhFZmp4bouc4UBtPNr4DV17UusRiNOOFWnrUdgjhMN2LcLUpXxmVSsZP2lBStAShW6NAUSfyydl0yuEtUVkbe4058C6in3Y268CX/0Dxv+/O6gyxGI05IzR0pI2XDg9zH9bXftx2GBJHHcwS9rhLRPuIC1lO/eE++7DLo2BGWLHE0JpGCYmwHICUQH5//WBmduxS4tb+VWuxpdJKlYMQpBS8Eozy6MHQbXey7n39P+wM8SJP4QzxZIo7HA1MZHLBvTrW+dLMUjzhrJ9XozUfFe/LixTB7NkRHq/ichJx62iNIdrWaTOQa22GIEwrchMkihs0nd7cUjDhlCJMDtuvv/9tSJOKUfrwVsL2jYkNLkYhTXmMAAO9zoeVIxAn+99B/pTUevNzd9K2D/4BEpK2x9QCozq7i/9Cjj5q/+/WDplrFSUJLSXsECRiypZ52VylqiRnNq3OfRDYFbN++8mpLkYhTOvFNwPbEUycf5JkSqYbyEh68LORM/qIF1+8eazskCSL/y6v7GGMvEHFU7cwNJfuBZcvg/dypMHfeGfyARA5DaUEE8XhziGefeayc3V0KZOhV2ENM9gFLwYhIMHxMT1Jjq9kOQxzyLLfSgmWM2nWX7VAkiDweyCAWgE0kcjKLqZu+2m5Q4qgMYunPa4d+0tjcm3MXXggtWjgflEgBStojSMy2TVyeO/SyqJ5ZiWAF7sLEs5/ms8dbCkZEjtQaGgGQg4defMyGKsdbjkiCrQ6b6cC3RKl+gStFReXXLVhMWxbTlllLm1iOSpwUSxZR5Bz8CcnJMH26eTx6dGiCEilASXsE8c/rVrfVUlFu4o2JLbRPoyncp+BSUSsqnWIpEnHKd3QA4E9a8hctGLLoOssRSbD9zkl8SyfbYYhDPB6II+PwTxRXGTH8EDfhJk+G7Gzo2hXatg1dUCJ+VD0+gvh61zOJITWp+WGeLZHkQPVEzmIBvfmQ4TwHaDSFG/1Nc9qyOG87MyrOYjTiBN+NmWrsoiHryNrXwHJEEmwVSLMdgjhI9WTKppYnHCJpf/BBaNkSmmjEhdijQ1ME8fW8evDqpOIyHg8s5CxeIb8wmUdt7Dq/0RqAfVQEwKvhFK7VkHUANN/+neVIRKQkdFiWQqKjoU8faNfOdiRShiktiCC+ntcYsqmx6S/L0Ugw+W7CbKBe3j6PrhxcJ5UENlOHePYDUG//KssRSbAVXPJN67aLRBaPB65jgu0wJNS8RRyr9+2DAyoKLOFBSXsE8c/h6i+ZZS8QCbpy+3axnwrsojrf5s6J1fB493mVgZzMr3nbv1c7y1os4owHuT9gu2AdA4l8alN300jGMqqopP2JJ8x67G+9VfjfREJMh6ZI4pe166TiLjFkUYF0ADpihtOqo919evERG/1GU8yuN8RiNOKE3VQN2FaC524vcQMjak6zHYYEkcejETJlTpcukJQUuC8lBcaPh40bIUYlwMQ+/RZGkvLl8x4qoXOZAg26g+qkNTzGUjDilIIXgrowFIk8/jdihvISzavDMxbjkeCKioIJ3BCw7/uErpxuKR5xVhbRxMydW/gf/u//YPduOOYYuOiikMclUpD6ayNJ1apMZSCgodOuU2DoRBQ57Gzfw1Iw4pTLeDdgu+aB9ZYiEaecT+DUpdS4mpYiEae8y2UALOQMQJ1wbuN/D/0PWuLBy9Cj59gLSByxuZxZ2SOG7ML/mJYGz+TeirvzTlOITsQyJe0RxP9Eop52d4mKLtygmgLhPvXYELB9+9JBliIRp5zB1wHbk059xVIk4pTrmIgHL5MZwnzOZvBu9bO7if/11ROMAqBcOUvBiGPqZqw7+D9OmQJbtkDDhnDFFaELSuQQlBZEEP95VkroXKZAg8aQRRQ5loIRkWCYR2f2latmOwxxyP9xA2fzFbdtvM12KBJEHg/syq1N8R9NOYYV1PFuthuUOKtqVZg82TzOzDQF6ABGjYLYWGthifhT6hdBonZuZyCvmQ31tLtKwZ72SqRS/6MXLEUjTlFRMvdbR4O8x12Yx5rqrS1GI06oyTZa82ve0o3iPr5j9fd0YAXH8fGiRMsRiaP27Mlf2m3+fFi7FurUgcGD7cYl4kczsSLUtnbn2w5BgqmIoROaAuF+f1brREvbQUhQzaczp/Iza2jIT7Rj85LOwFjbYUkQ/Uw7mrDadhjioOrssh2ChJpvybdu3eDXX2HdOqhQwW5MIn7U0x5B/IvP7Wt4nMVIJNhyKiZwHp8xnpvz9qnYoPv8Q7OA7bToBEuRiFN8PXR12EI7FtG2yj+WI5Jgq8xe2yGISLD5r9PeujVccIG9WESKoKQ9gvj3vEZ5tFSUm0RFwWzO4zmG5e9Tzu463xdaNEiN7Da+pL08Zqhl4t8LbYYjIiLF4fXCZtUukPClpD2C+Pe8Jmz822IkEmy+GzLb8VseSlm762RQjhTye9eT9qsX1m2u5I2AbU9WlqVIxCmqTeF+NzPedggSap99Bo0awciRtiMRKZKS9gji39Ne56eP7QUiQRedk8lGEtlBDZZwEqDh8W40jf40IH+ZmdWVNKPdbV5kqO0QRKSUfCv1SBkyezZkZKigkIQtJe0RJDCJ0wnFVaKiSGQzMWTTit/NLp03XOdyprOb/CXAvqg/xGI04oRt1Arc4dWx2m38e9rf42KmnKyVPkRcIS4ORoywHYVIkZS0RxK/tSI9uhPoKp6Y6IDt3VQhq0ETS9GIUwr23qg2hfuoh879/JP2S3mPBcdrdIXbjPerLwOwpmYbS5FISA0eDIla3k/Ck5L2COKplMDrXGk2/BJ4iXwFV3wrTzr7zuxuJxhxzHl8Hrh96k5LkYhTzuKrwB0JWiHAbWZhllz9ixaATsdutozj8ODlyT6/2A5Fgmx9bBEdI3feGfpARIpJSXsE8Xjye3HU0e4uBdvTg7eopdslwvnPZwdo98o1liIRp5zB14E7Jk2yE4g4ZghT8OClJX8BStrdzFejQm3sPvUzkwN3NGxo/oiEKaUFESQgsVPW7ipFJehK2t0ni5iAbY8a2d1OOw2qVrUdhThsiEpTuM4GkgD4gfYAlCtnMxoJibVrbUcgcki6YowgnpS9XMmbAERlpluORoKp4D2YODKoOkM9dG5zHS/nXQwCEB198CdLRNpAvfyNH36A00+3F4w4oho7ac5Kjq2yifXroV072xFJsOXkXh77RjdecIHNaCQknn7adgQih6SkPYL4J3Z7T+liLxAJuqIGTni8OaEPRBy1nOOpz3pe5lqzo3NnuwFJ0H2GXy2Ks8+Gl1+2F4w44ls6spJjWb4niXr1Dv98iTwNWA/A+XV+4bffoEMHywGJ87TSh4Q5Je0RxH/Jt/SjT7AYiQRbVBRcxEye56a8fVqn3a08/EdT87B6dbuhSND5Vxbnq68gOfmgz5XIVB0VkCwrBu15llatbEchIaGkXcKckvYIpaWi3MXjgQ+4iMe4K3+fknbXiiEr90HMoZ8oEScgaQdYuNBOICJSapkeTWYvM26/3XYEIoekpD2C+CdxcZvXWIxEgs1Xj2wvle0GIiExmCnmwapVdgORoLuK1wN3ZGfbCUQcs4MatkMQh43kSQD+qdjKbiAiIrmUtEcQ/6S9+tcf2gtEgs7jgXe4jFUcHbhTXKVly20AHMV/ZkfNmhajESe8Td/AHSo77TqXMoOfOYVBtWbZDkUcllNw5IyIiCUamxlB/HM4X0VTcQePBy5jRuA+DY93ndGjf2Lt2vNIe/t0Kvz2PVx+ue2QJMi2UCdwhxZ4dp3lHM+p/MzRVWxHIk7RNZaIhBv1tEcQT4zf8lAxWirKTaKiAi8QUkggu1ZdS9GIUypUyObWW3OoUDH3howK37hOoYt9Je2upaZ1rycZBcDR+/+0HImETOvWtiMQOSQl7RHEU6E8b9MHAG/5ipajESdVIpX0zt0P/0SJTPv2mb/T0+3GIUHXjp8Dd8TF2QlEHKeZD+5XMSfVdgjikFUxxwTuiFJKJOFNv6ERxOPJ78XRdGd3iYqC9QQu+KvheS62ZIn5e8wYq2FI8HXk28AdgwfbCUQcp6Td/T6vM9B2COKQo7NWBu5Q0i5hTr+hESRgTrvmO7uKxwNtWMyNvBiwT1xOFwnu1rIlVNaKEG6l4fHu9TfNAPirWifLkUjILFpkOwKRQwr7K8aUlBSGDx9Oo0aNqFChAqeffjqL/L5YXq+X++67j8TERCpUqECXLl34559/LEbsHE/GAfrwLgAVs/ZajkaCyeOBrdThndzpDwA1Fs22GJGEhNZpd53N+NWi+OMPOOcce8GIo9TT7l7e3KrxsTEa8VZmPPyw7QhEDinsk/arr76auXPn8vrrr/Pnn3/StWtXunTpwoYNGwB44oknGD9+PBMmTOCnn34iPj6ebt26ke7yuaJVe3SwHYIEka/D1eu3vEyFuBxL0YjjTjvN/N2li904JOhmV7wAgDXt+x7mmRLplLS7V2NWA9A07S+7gUjoqDCshLmwTtrT0tKYOXMmTzzxBGeccQZHH300DzzwAEcffTT/93//h9frZdy4cdxzzz306tWLE088kWnTprFx40Y+/PBD2+EHn/946ZNOsheHBJ2vaf2TdvXCutixx5q/69Q59PMk4lx40SoAGjbQTTe3U9LuXnFkAHDx6mcsRyIho6RdwlxYZwVZWVlkZ2dTvnz5gP0VKlTg22+/JTk5mc2bN9PFr7eqSpUqnHrqqfzwww/07Vt0T8eBAwc4cOBA3vbevWaoeWZmJpmZmQ58ktLxxZSZmYlvCl1mRgaEYaxyZHJysoDACZJZgFdt7Br+3+PozEyigGwgR23sGpmZmcSVzwbAm51NltrWdcz32Byro6NzyMzMthuQBJ3/tVZ2VGxYXhdK6RUqSXHffWTeeaeNUMQh/tdd4ay48YV10l6pUiXat2/PQw89xHHHHUedOnV46623+OGHHzj66KPZvHkzAHUK9FbVqVMn79+K8thjj/Hggw8W2v/FF19QsWL4LqX25bx5XJD7eOF777GvXr1DPl8ix4YNCcA5pFEhb98Pv/7KTr+bS+IOc+fO5fx33gFg7Vdf8Yev111c4eRVpqc9auZMPvnsM8vRiDN6AbBjx0Y++2yx5VjECT/zMI9wD79VbEWOvseu1KuIfZ+prV1p7ty5tkM4pP379xfreWGdtAO8/vrrDB48mHr16hEdHc3JJ59Mv379WLz4yE+Ud911FyNGjMjb3rt3Lw0aNKBr165UDsNKv5mZmcydO5cu556bt+/sjAxyumsdb7dYvjwLgAOU50CdBsRtWUf7s8/G27at5cgkWHzf43PPPZfoLNPejerUob6+x66RmZnJwt27SWzUCK65hu7t2tkOSYLMv0ekUaMkunfXFBe3yczM5GfMXPb4SvF00jG6zOiutnYV/+uu2DBe7sM34vtwwj5pP+qoo1i4cCH79u1j7969JCYm0qdPH5o2bUrduqZK75YtW0hMTMz7mS1bttCqVauDvmZcXBxxcXGF9sfGxoZ1o/rHFl2pEtFhHKuUjH9TerLMRWFMhQpaU8iFYmNj4eyzYcECov73P6LUxq6SUbUq3kmTwvpcIsHRoEEUsbFhXRpIjlBlzEV0TmwFfZddalVUM47OCVxtSm3tTpGU3x1KxJxt4uPjSUxMZNeuXcyZM4devXrRpEkT6taty7x58/Ket3fvXn766Sfat29vMVqH+K/pHIYjAuTI+QrRecjBW74CJCSYP+JOeZUHVfhGJNKMGvUzF1+cw913245EnHIHTwBQITvVciTiFK/XnIcncbXZ0a2bxWhEDi/se9rnzJmD1+vlmGOOYdWqVdx+++0ce+yxDBo0CI/Hw/Dhw3n44Ydp1qwZTZo04d577yUpKYnevXvbDj34oqLgqKPg338hKcl2NBJEvvsxFdlP3IZks6E2di9frYIcVRgXiTSnn76Jhx/OVi+7i62hIY1Yy5Jml6IFdt3p9nLjiDmwjybkXnNF6fss4S3sk/Y9e/Zw1113sX79eqpXr87FF1/MI488kjeUYNSoUezbt49rr72W3bt307FjR2bPnl2o4rxr7Ntn/o6PtxuHBFWRS76pF9a9vvvO/P3663DFFXZjERGRAO34mWNZwUlHnWk7FHHI3Oj/sR8Pg5hidihplzAX9kn7ZZddxmWXXXbQf/d4PIwZM4YxY8aEMCqLlLS7UpHnCiXt7teihe0IRESkgK3UYSt1aFe4/JG4hG+g2108Zh58+qm9YESKQbeVIk1Kivlbw2pdpcie9m3b7AQjzvvhB7jtNihi6UkREbHrkkv+pmFDL7ffbjsScYqvX+QLupoHo0bZC0akGMK+p10KuOMO2LkTmje3HYkEkS9pj8LvZoyGarnXaaeZPyIiEnauvHI5b77ZhHLlwrfitJSOr+8rm2jzIIyri4uAkvbIM3as7QjEAb78/AB+Y/Fq1rQTjIiISBnn8Rz+ORK5fEl7wAhHkTCmrjyRMOC7OMgilv9mLYO//lLdAhEREREH+IbHn8tc8+DFF+0FI1IM6mkXCQP+I+Gzmh0Hmv0gIiIi4oicHNNbciwrzI7du+0FI1IM6mkXCQP+w/A0JE9ERETEeVFopR6JDEraRcKAknYRERGR0NpLJdshiBSLknaRMOA/PF5Ju4iIiIjzxnCfedC/v91ARA5DSbtIGFCiLiIiIhJaeUvtapldCXP6DRUJAzpXiIiIiIRGkyZmLntsVLbZoQsxCXP6DRUJA+ppFxEREQmNjz/O4vTTN3B/zdyl3qZMsRuQyGEoaRcJAypEJyIiIhIaxxwDo0b9QvSlvc2O666zGo/I4ShpFwkDGpUlIiIiEmLly5u/4+PtxiFyGEoVRMKAetdFRERELPFqvXYJb6om2wAAAA+vSURBVEraRcKAetpFREREQitq1izz4J137AYichhKFUREREREpMzxrFxpHmzcaDcQkcNQ0i4SZjRUXkRERMR52Y8+ah7ce6/dQEQOI8Z2ACISODw+Ls5eHCIiIiJlRc7IkURfeSXUr287FJFDUtIuEgbi4uCKK5bRoMExJCVF2w5HREREpGxo0MB2BCKHpaRdJExceuk/dO/eDFDSLiIiIiIihua0i4iIiIiIiIQpJe0iIiIiIiIiYUpJu4iIiIiIiEiYUtIuIiIiIiIiEqaUtIuIiIiIiIiEKSXtIiIiIiIiImFKSbuIiIiIiIhImFLSLiIiIiIiIhKmlLSLiIiIiIiIhCkl7SIiIiIiIiJhSkm7iIiIiIiISJhS0i4iIiIiIiISppS0i4iIiIiIiIQpJe0iIiIiIiIiYUpJu4iIiIiIiEiYUtIuIiIiIiIiEqaUtIuIiIiIiIiEKSXtIiIiIiIiImEqxnYA4cDr9QKwd+9ey5EULTMzk/3797N3715iY2NthyMOUBu7n9rY/dTG7qc2dj+1cdmgdna/SGljX/7py0cPRkk7kJKSAkCDBg0sRyIiIiIiIiJlSUpKClWqVDnov3u8h0vry4CcnBw2btxIpUqV8Hg8tsMpZO/evTRo0IB169ZRuXJl2+GIA9TG7qc2dj+1sfupjd1PbVw2qJ3dL1La2Ov1kpKSQlJSElFRB5+5rp52ICoqivr169sO47AqV64c1r90UnpqY/dTG7uf2tj91MbupzYuG9TO7hcJbXyoHnYfFaITERERERERCVNK2kVERERERETClJL2CBAXF8f9999PXFyc7VDEIWpj91Mbu5/a2P3Uxu6nNi4b1M7u57Y2ViE6ERERERERkTClnnYRERERERGRMKWkXURERERERCRMKWkXERERERERCVNK2kVERERERETClJL2EHjsscc45ZRTqFSpErVr16Z3796sXLky4Dnp6ekMHTqUGjVqkJCQwMUXX8yWLVsCnnPLLbfQpk0b4uLiaNWqVaH3SU9PZ+DAgbRs2ZKYmBh69+7t4KcSf6Fq46+++opevXqRmJhIfHw8rVq14s0333Tyo4mfULXzypUrOfvss6lTpw7ly5enadOm3HPPPWRmZjr58YTQtbG/VatWUalSJapWrRrkTyNFCVUbr169Go/HU+jPjz/+6OTHE0L7PfZ6vTz11FM0b96cuLg46tWrxyOPPOLUR5NcoWrjBx54oMjvcXx8vJMfTwjt93jOnDmcdtppVKpUiVq1anHxxRezevVqhz7ZkVHSHgILFy5k6NCh/Pjjj8ydO5fMzEy6du3Kvn378p5z66238sknnzBjxgwWLlzIxo0bueiiiwq91uDBg+nTp0+R75OdnU2FChW45ZZb6NKli2OfRwoLVRt///33nHjiicycOZM//viDQYMG0b9/f2bNmuXYZ5N8oWrn2NhY+vfvzxdffMHKlSsZN24ckyZN4v7773fss4kRqjb2yczMpF+/fnTq1Cnon0WKFuo2/vLLL9m0aVPenzZt2gT9M0mgULbxsGHDeOWVV3jqqadYsWIFH3/8Me3atXPkc0m+ULXxyJEjA76/mzZt4vjjj+fSSy917LOJEao2Tk5OplevXnTu3JklS5YwZ84ctm/fXuTrWOWVkNu6dasX8C5cuNDr9Xq9u3fv9sbGxnpnzJiR95zly5d7Ae8PP/xQ6Ofvv/9+70knnXTI9xgwYIC3V69ewQxbSiAUbezTvXt376BBg4ISt5RMKNv51ltv9Xbs2DEocUvxOd3Go0aN8l555ZXeqVOneqtUqRLs8KUYnGrj5ORkL+D97bffnApdismpNl62bJk3JibGu2LFCsdil+IJ1fl4yZIlXsD79ddfBy12KR6n2njGjBnemJgYb3Z2dt6+jz/+2OvxeLwZGRnB/yBHSD3tFuzZsweA6tWrA7B48WIyMzMDesePPfZYGjZsyA8//GAlRimdULbxnj178t5HQitU7bxq1Spmz57NmWeeWbqApcScbOP58+czY8YMXnzxxeAFLCXm9Pf4ggsuoHbt2nTs2JGPP/44OEFLiTjVxp988glNmzZl1qxZNGnShMaNG3P11Vezc+fO4H4AOaxQnY9feeUVmjdvrtFRFjjVxm3atCEqKoqpU6eSnZ3Nnj17eP311+nSpQuxsbHB/RCloKQ9xHJychg+fDgdOnTghBNOAGDz5s2UK1eu0HzGOnXqsHnzZgtRSmmEso3fffddFi1axKBBg0oTshyBULTz6aefTvny5WnWrBmdOnVizJgxwQhdisnJNt6xYwcDBw7k1VdfpXLlysEMW0rAyTZOSEjg6aefZsaMGXz66ad07NiR3r17K3EPMSfb+L///mPNmjXMmDGDadOm8eqrr7J48WIuueSSYH4EOYxQXXelp6fz5ptvMmTIkNKGLCXkZBs3adKEL774gtGjRxMXF0fVqlVZv3497777bjA/QqnF2A6grBk6dCh//fUX3377re1QxCGhauMFCxYwaNAgJk2aRIsWLRx9LyksFO38zjvvkJKSwu+//87tt9/OU089xahRoxx7PwnkZBtfc801XH755ZxxxhlBf20pPifbuGbNmowYMSJv+5RTTmHjxo08+eSTXHDBBUF/Pymak22ck5PDgQMHmDZtGs2bNwdg8uTJtGnThpUrV3LMMccE/T2lsFBdd33wwQekpKQwYMAAR99HCnOyjTdv3sw111zDgAED6NevHykpKdx3331ccsklzJ07F4/HE/T3PBLqaQ+hm266iVmzZrFgwQLq16+ft79u3bpkZGSwe/fugOdv2bKFunXrhjhKKY1QtfHChQvp2bMnzz77LP379y9t2FJCoWrnBg0acPzxx9OvXz/Gjh3LAw88QHZ2dmnDl2Jwuo3nz5/PU089RUxMDDExMQwZMoQ9e/YQExPDlClTgvUx5BBsnJNPPfVUVq1aVarXkOJzuo0TExOJiYnJS9gBjjvuOADWrl1buuClWEL5PX7llVc4//zzqVOnTmlClhJyuo1ffPFFqlSpwhNPPEHr1q0544wzeOONN5g3bx4//fRTsD5GqSlpDwGv18tNN93EBx98wPz582nSpEnAv7dp04bY2FjmzZuXt2/lypWsXbuW9u3bhzpcOQKhbOOvvvqKHj168Pjjj3PttdcGJX4pHpvf5ZycHDIzM8nJySnV68ihhaqNf/jhB5YsWZL3Z8yYMVSqVIklS5Zw4YUXBu3zSGE2v8dLliwhMTGxVK8hhxeqNu7QoQNZWVn8+++/efv+/vtvABo1alTKTyGHEurvcXJyMgsWLNDQ+BAKVRvv37+fqKjAlDg6OhogrK65NDw+BIYOHcr06dP56KOPqFSpUt48iypVqlChQgWqVKnCkCFDGDFiBNWrV6dy5crcfPPNtG/fntNOOy3vdVatWkVqaiqbN28mLS2NJUuWAHD88cdTrlw5AJYtW0ZGRgY7d+4kJSUl7zmHWydYSidUbbxgwQLOP/98hg0bxsUXX5z3PuXKlVMxuhAIVTu/+eabxMbG0rJlS+Li4vjll1+466676NOnT1gVRXGjULWxrzfO55dffiEqKipvrp44J1Rt/Nprr1GuXDlat24NwPvvv8+UKVN45ZVXQv6Zy5pQtXGXLl04+eSTGTx4MOPGjSMnJ4ehQ4dy7rnnBvS+S/CF8toaYMqUKSQmJnLeeeeF9HOWZaFq4x49evDss88yZsyYvOHxo0ePplGjRnnH77Bgr3B92QEU+Wfq1Kl5z0lLS/PeeOON3mrVqnkrVqzovfDCC72bNm0KeJ0zzzyzyNdJTk7Oe06jRo2KfI44K1RtPGDAgCL//cwzzwzdhy3DQtXOb7/9tvfkk0/2JiQkeOPj473HH3+899FHH/WmpaWF8NOWTaE8XvvTkm+hE6o2fvXVV73HHXect2LFit7KlSt727VrF7A0kTgnlN/jDRs2eC+66CJvQkKCt06dOt6BAwd6d+zYEaJPWnaFso2zs7O99evX944ePTpEn0683tC28VtvveVt3bq1Nz4+3lurVi3vBRdc4F2+fHmIPmnxeLxer/dwib2IiIiIiIiIhJ7mtIuIiIiIiIiEKSXtIiIiIiIiImFKSbuIiIiIiIhImFLSLiIiIiIiIhKmlLSLiIiIiIiIhCkl7SIiIiIiIiJhSkm7iIiIiIiISJhS0i4iIiIiIiISppS0i4iIiIiIiIQpJe0iIiKC1+ulS5cudOvWrdC/vfTSS1StWpX169dbiExERKRsU9IuIiIieDwepk6dyk8//cTLL7+ctz85OZlRo0bx/PPPU79+/aC+Z2ZmZlBfT0RExI2UtIuIiAgADRo04LnnnmPkyJEkJyfj9XoZMmQIXbt2pXXr1px33nkkJCRQp04drrrqKrZv3573s7Nnz6Zjx45UrVqVGjVqcP755/Pvv//m/fvq1avxeDy88847nHnmmZQvX54333zTxscUERGJKB6v1+u1HYSIiIiEj969e7Nnzx4uuugiHnroIZYuXUqLFi24+uqr6d+/P2lpadxxxx1kZWUxf/58AGbOnInH4+HEE08kNTWV++67j9WrV7NkyRKioqJYvXo1TZo0oXHjxjz99NO0bt2a8uXLk5iYaPnTioiIhDcl7SIiIhJg69attGjRgp07dzJz5kz++usvvvnmG+bMmZP3nPXr19OgQQNWrlxJ8+bNC73G9u3bqVWrFn/++ScnnHBCXtI+btw4hg0bFsqPIyIiEtE0PF5EREQC1K5dm+uuu47jjjuO3r178/vvv7NgwQISEhLy/hx77LEAeUPg//nnH/r160fTpk2pXLkyjRs3BmDt2rUBr922bduQfhYREZFIF2M7ABEREQk/MTExxMSYy4TU1FR69uzJ448/Xuh5vuHtPXv2pFGjRkyaNImkpCRycnI44YQTyMjICHh+fHy888GLiIi4iJJ2EREROaSTTz6ZmTNn0rhx47xE3t+OHTtYuXIlkyZNolOnTgB8++23oQ5TRETElTQ8XkRERA5p6NCh7Ny5k379+rFo0SL+/fdf5syZw6BBg8jOzqZatWrUqFGDiRMnsmrVKubPn8+IESNshy0iIuIKStpFRETkkJKSkvjuu+/Izs6ma9eutGzZkuHDh1O1alWioqKIiori7bffZvHixZxwwgnceuutPPnkk7bDFhERcQVVjxcREREREREJU+ppFxEREREREQlTStpFREREREREwpSSdhEREREREZEwpaRdREREREREJEwpaRcREREREREJU0raRURERERERMKUknYRERERERGRMKWkXURERERERCRMKWkXERERERERCVNK2kVERERERETClJJ2ERERERERkTD1/8Jre0Pdi2ddAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "\n",
        "# Calculate additional metrics\n",
        "rmse = np.sqrt(mean_squared_error(y_test, predictions))\n",
        "r2 = r2_score(y_test, predictions)\n",
        "\n",
        "# Create a dataframe for visualization\n",
        "metrics = {\n",
        "    \"Metric\": [\"MAE\", \"RMSE\", \"R² Score\"],\n",
        "    \"Value\": [mae, rmse, r2]\n",
        "}\n",
        "\n",
        "# Convert to DataFrame for plotting\n",
        "metrics_df = pd.DataFrame(metrics)\n",
        "\n",
        "# ✅ Bar Plot for Metrics\n",
        "plt.figure(figsize=(8, 5))\n",
        "plt.bar(metrics_df[\"Metric\"], metrics_df[\"Value\"], color=[\"blue\", \"orange\", \"green\"])\n",
        "plt.xlabel(\"Metrics\")\n",
        "plt.ylabel(\"Score\")\n",
        "plt.title(\"Model Evaluation Metrics for XGBoost\")\n",
        "plt.ylim(0, max(metrics_df[\"Value\"]) * 1.2)  # Set y-limit for better visibility\n",
        "\n",
        "# Display values on top of bars\n",
        "for i, v in enumerate(metrics_df[\"Value\"]):\n",
        "    plt.text(i, v + 0.02, f\"{v:.2f}\", ha='center', fontsize=12, fontweight='bold')\n",
        "\n",
        "plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "IFkdwGQOH5Ig",
        "outputId": "e3cbe4f2-9f8e-4f70-db09-4877fa2681f1"
      },
      "id": "IFkdwGQOH5Ig",
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pickle\n",
        "import os\n",
        "\n",
        "# Ensure the directory exists\n",
        "os.makedirs(\"models\", exist_ok=True)\n",
        "\n",
        "# Save the trained model to a file\n",
        "with open(\"models/trained_model.pkl\", \"wb\") as model_file:\n",
        "    pickle.dump(model, model_file)\n",
        "\n",
        "print(\"✅ Model saved successfully as 'models/trained_model.pkl'\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_KRR_zjhH5GM",
        "outputId": "4176d2a9-b6da-4428-ea8d-bc32779c6c19"
      },
      "id": "_KRR_zjhH5GM",
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "✅ Model saved successfully as 'models/trained_model.pkl'\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Load the trained model\n",
        "with open(\"models/trained_model.pkl\", \"rb\") as model_file:\n",
        "    loaded_model = pickle.load(model_file)\n",
        "\n",
        "# Make predictions\n",
        "predictions = loaded_model.predict(X_test)\n",
        "\n",
        "print(\"✅ Model loaded successfully and predictions made!\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TNcOylFOH5Dt",
        "outputId": "8754e452-a75d-44f9-a4b1-861447e053ac"
      },
      "id": "TNcOylFOH5Dt",
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "✅ Model loaded successfully and predictions made!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install flask-ngrok\n",
        "\n",
        "from flask import Flask, request, jsonify\n",
        "from flask_ngrok import run_with_ngrok\n",
        "import pickle\n",
        "import pandas as pd\n",
        "\n",
        "# Load the trained model\n",
        "with open(\"/content/models/trained_model.pkl\", \"rb\") as file:\n",
        "    model = pickle.load(file)\n",
        "\n",
        "app = Flask(__name__)\n",
        "run_with_ngrok(app)\n",
        "\n",
        "@app.route(\"/\")\n",
        "def home():\n",
        "    return \"Electricity Forecasting Model is Running!\"\n",
        "\n",
        "@app.route(\"/predict\", methods=[\"POST\"])\n",
        "def predict():\n",
        "    data = request.get_json()\n",
        "    input_data = pd.DataFrame([data])  # Convert input to DataFrame\n",
        "    prediction = model.predict(input_data)\n",
        "    return jsonify({\"prediction\": prediction.tolist()})\n",
        "\n",
        "if __name__ == \"__main__\":\n",
        "    app.run()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v79AOUpuH5Bm",
        "outputId": "b4c71789-11c1-4504-f901-83808762fd56"
      },
      "id": "v79AOUpuH5Bm",
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting flask-ngrok\n",
            "  Downloading flask_ngrok-0.0.25-py3-none-any.whl.metadata (1.8 kB)\n",
            "Requirement already satisfied: Flask>=0.8 in /usr/local/lib/python3.11/dist-packages (from flask-ngrok) (3.1.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from flask-ngrok) (2.32.3)\n",
            "Requirement already satisfied: Werkzeug>=3.1 in /usr/local/lib/python3.11/dist-packages (from Flask>=0.8->flask-ngrok) (3.1.3)\n",
            "Requirement already satisfied: Jinja2>=3.1.2 in /usr/local/lib/python3.11/dist-packages (from Flask>=0.8->flask-ngrok) (3.1.6)\n",
            "Requirement already satisfied: itsdangerous>=2.2 in /usr/local/lib/python3.11/dist-packages (from Flask>=0.8->flask-ngrok) (2.2.0)\n",
            "Requirement already satisfied: click>=8.1.3 in /usr/local/lib/python3.11/dist-packages (from Flask>=0.8->flask-ngrok) (8.1.8)\n",
            "Requirement already satisfied: blinker>=1.9 in /usr/local/lib/python3.11/dist-packages (from Flask>=0.8->flask-ngrok) (1.9.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->flask-ngrok) (3.4.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->flask-ngrok) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->flask-ngrok) (2.3.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->flask-ngrok) (2025.1.31)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.11/dist-packages (from Jinja2>=3.1.2->Flask>=0.8->flask-ngrok) (3.0.2)\n",
            "Downloading flask_ngrok-0.0.25-py3-none-any.whl (3.1 kB)\n",
            "Installing collected packages: flask-ngrok\n",
            "Successfully installed flask-ngrok-0.0.25\n",
            " * Serving Flask app '__main__'\n",
            " * Debug mode: off\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "INFO:werkzeug:\u001b[31m\u001b[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.\u001b[0m\n",
            " * Running on http://127.0.0.1:5000\n",
            "INFO:werkzeug:\u001b[33mPress CTRL+C to quit\u001b[0m\n",
            "Exception in thread Thread-10:\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/urllib3/connection.py\", line 198, in _new_conn\n",
            "    sock = connection.create_connection(\n",
            "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/urllib3/util/connection.py\", line 85, in create_connection\n",
            "    raise err\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/urllib3/util/connection.py\", line 73, in create_connection\n",
            "    sock.connect(sa)\n",
            "ConnectionRefusedError: [Errno 111] Connection refused\n",
            "\n",
            "The above exception was the direct cause of the following exception:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/urllib3/connectionpool.py\", line 787, in urlopen\n",
            "    response = self._make_request(\n",
            "               ^^^^^^^^^^^^^^^^^^^\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/urllib3/connectionpool.py\", line 493, in _make_request\n",
            "    conn.request(\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/urllib3/connection.py\", line 445, in request\n",
            "    self.endheaders()\n",
            "  File \"/usr/lib/python3.11/http/client.py\", line 1298, in endheaders\n",
            "    self._send_output(message_body, encode_chunked=encode_chunked)\n",
            "  File \"/usr/lib/python3.11/http/client.py\", line 1058, in _send_output\n",
            "    self.send(msg)\n",
            "  File \"/usr/lib/python3.11/http/client.py\", line 996, in send\n",
            "    self.connect()\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/urllib3/connection.py\", line 276, in connect\n",
            "    self.sock = self._new_conn()\n",
            "                ^^^^^^^^^^^^^^^^\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/urllib3/connection.py\", line 213, in _new_conn\n",
            "    raise NewConnectionError(\n",
            "urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPConnection object at 0x7e8c5fa89ed0>: Failed to establish a new connection: [Errno 111] Connection refused\n",
            "\n",
            "The above exception was the direct cause of the following exception:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/requests/adapters.py\", line 667, in send\n",
            "    resp = conn.urlopen(\n",
            "           ^^^^^^^^^^^^^\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/urllib3/connectionpool.py\", line 841, in urlopen\n",
            "    retries = retries.increment(\n",
            "              ^^^^^^^^^^^^^^^^^^\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/urllib3/util/retry.py\", line 519, in increment\n",
            "    raise MaxRetryError(_pool, url, reason) from reason  # type: ignore[arg-type]\n",
            "    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
            "urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='localhost', port=4040): Max retries exceeded with url: /api/tunnels (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7e8c5fa89ed0>: Failed to establish a new connection: [Errno 111] Connection refused'))\n",
            "\n",
            "During handling of the above exception, another exception occurred:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/lib/python3.11/threading.py\", line 1045, in _bootstrap_inner\n",
            "    self.run()\n",
            "  File \"/usr/lib/python3.11/threading.py\", line 1401, in run\n",
            "    self.function(*self.args, **self.kwargs)\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/flask_ngrok.py\", line 70, in start_ngrok\n",
            "    ngrok_address = _run_ngrok()\n",
            "                    ^^^^^^^^^^^^\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/flask_ngrok.py\", line 35, in _run_ngrok\n",
            "    tunnel_url = requests.get(localhost_url).text  # Get the tunnel information\n",
            "                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/requests/api.py\", line 73, in get\n",
            "    return request(\"get\", url, params=params, **kwargs)\n",
            "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/requests/api.py\", line 59, in request\n",
            "    return session.request(method=method, url=url, **kwargs)\n",
            "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/requests/sessions.py\", line 589, in request\n",
            "    resp = self.send(prep, **send_kwargs)\n",
            "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/requests/sessions.py\", line 703, in send\n",
            "    r = adapter.send(request, **kwargs)\n",
            "        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
            "  File \"/usr/local/lib/python3.11/dist-packages/requests/adapters.py\", line 700, in send\n",
            "    raise ConnectionError(e, request=request)\n",
            "requests.exceptions.ConnectionError: HTTPConnectionPool(host='localhost', port=4040): Max retries exceeded with url: /api/tunnels (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7e8c5fa89ed0>: Failed to establish a new connection: [Errno 111] Connection refused'))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install streamlit\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uCSn8IpoH4_C",
        "outputId": "31d58acb-25e0-47a3-8195-b1650668188c"
      },
      "id": "uCSn8IpoH4_C",
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting streamlit\n",
            "  Downloading streamlit-1.44.1-py3-none-any.whl.metadata (8.9 kB)\n",
            "Requirement already satisfied: altair<6,>=4.0 in /usr/local/lib/python3.11/dist-packages (from streamlit) (5.5.0)\n",
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            "Requirement already satisfied: typing-extensions<5,>=4.4.0 in /usr/local/lib/python3.11/dist-packages (from streamlit) (4.13.0)\n",
            "Collecting watchdog<7,>=2.1.5 (from streamlit)\n",
            "  Downloading watchdog-6.0.0-py3-none-manylinux2014_x86_64.whl.metadata (44 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m44.3/44.3 kB\u001b[0m \u001b[31m1.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: gitpython!=3.1.19,<4,>=3.0.7 in /usr/local/lib/python3.11/dist-packages (from streamlit) (3.1.44)\n",
            "Collecting pydeck<1,>=0.8.0b4 (from streamlit)\n",
            "  Downloading pydeck-0.9.1-py2.py3-none-any.whl.metadata (4.1 kB)\n",
            "Requirement already satisfied: tornado<7,>=6.0.3 in /usr/local/lib/python3.11/dist-packages (from streamlit) (6.4.2)\n",
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            "\u001b[?25hDownloading pydeck-0.9.1-py2.py3-none-any.whl (6.9 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.9/6.9 MB\u001b[0m \u001b[31m57.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading watchdog-6.0.0-py3-none-manylinux2014_x86_64.whl (79 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m79.1/79.1 kB\u001b[0m \u001b[31m5.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: watchdog, pydeck, streamlit\n",
            "Successfully installed pydeck-0.9.1 streamlit-1.44.1 watchdog-6.0.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import streamlit as st\n",
        "import pickle\n",
        "import pandas as pd\n",
        "\n",
        "# Load the trained model\n",
        "with open(\"/content/models/trained_model.pkl\", \"rb\") as file:\n",
        "    model = pickle.load(file)\n",
        "\n",
        "# Streamlit UI\n",
        "st.title(\"Electricity Forecasting Model ⚡\")\n",
        "st.write(\"Enter values to predict future electricity production.\")\n",
        "\n",
        "# Input fields\n",
        "lag_1 = st.number_input(\"Previous day's production\", value=1000.0)\n",
        "lag_2 = st.number_input(\"Two days ago production\", value=950.0)\n",
        "month = st.number_input(\"Month (1-12)\", value=6)\n",
        "year = st.number_input(\"Year\", value=2024)\n",
        "\n",
        "# Prediction\n",
        "if st.button(\"Predict\"):\n",
        "    input_data = pd.DataFrame([[lag_1, lag_2, month, year]], columns=[\"Lag_1\", \"Lag_2\", \"Month\", \"Year\"])\n",
        "    prediction = model.predict(input_data)[0]\n",
        "    st.success(f\"Predicted Electricity Production: {prediction:.2f} MW\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BzLVBZ-4H46y",
        "outputId": "e495d2f8-82dd-4b6a-8e4f-9899482dce09"
      },
      "id": "BzLVBZ-4H46y",
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "2025-04-02 20:37:32.273 WARNING streamlit.runtime.scriptrunner_utils.script_run_context: Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.516 \n",
            "  \u001b[33m\u001b[1mWarning:\u001b[0m to view this Streamlit app on a browser, run it with the following\n",
            "  command:\n",
            "\n",
            "    streamlit run /usr/local/lib/python3.11/dist-packages/colab_kernel_launcher.py [ARGUMENTS]\n",
            "2025-04-02 20:37:32.528 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.530 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.533 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.535 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.538 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.545 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.549 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.550 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.553 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.556 Session state does not function when running a script without `streamlit run`\n",
            "2025-04-02 20:37:32.558 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.559 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.562 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.563 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.565 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.566 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.570 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.571 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.572 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.576 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.576 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.577 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.579 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.582 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
            "2025-04-02 20:37:32.584 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install gradio\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IVJ1TrCbH45A",
        "outputId": "1df7426d-ce26-41e7-fbad-8b19f0279877"
      },
      "id": "IVJ1TrCbH45A",
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Installing collected packages: pydub, uvicorn, tomlkit, semantic-version, ruff, python-multipart, groovy, ffmpy, aiofiles, starlette, safehttpx, gradio-client, fastapi, gradio\n",
            "Successfully installed aiofiles-23.2.1 fastapi-0.115.12 ffmpy-0.5.0 gradio-5.23.3 gradio-client-1.8.0 groovy-0.1.2 pydub-0.25.1 python-multipart-0.0.20 ruff-0.11.2 safehttpx-0.1.6 semantic-version-2.10.0 starlette-0.46.1 tomlkit-0.13.2 uvicorn-0.34.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import gradio as gr\n",
        "import pickle\n",
        "import pandas as pd\n",
        "\n",
        "# Load trained model\n",
        "with open(\"/content/models/trained_model.pkl\", \"rb\") as file:\n",
        "    model = pickle.load(file)\n",
        "\n",
        "# Define prediction function\n",
        "def predict_electricity(lag_1, lag_2, month, year):\n",
        "    input_data = pd.DataFrame([[lag_1, lag_2, month, year]], columns=[\"Lag_1\", \"Lag_2\", \"Month\", \"Year\"])\n",
        "    prediction = model.predict(input_data)[0]\n",
        "    return f\"Predicted Electricity Production: {prediction:.2f} MW\"\n",
        "\n",
        "# Create Gradio UI\n",
        "iface = gr.Interface(\n",
        "    fn=predict_electricity,\n",
        "    inputs=[\n",
        "        gr.Number(label=\"Previous day's production\"),\n",
        "        gr.Number(label=\"Two days ago production\"),\n",
        "        gr.Number(label=\"Month (1-12)\"),\n",
        "        gr.Number(label=\"Year\")\n",
        "    ],\n",
        "    outputs=gr.Textbox(label=\"Prediction\"),\n",
        "    title=\"⚡ Electricity Forecasting Model\",\n",
        "    description=\"Enter the past electricity production data and get the predicted value.\",\n",
        ")\n",
        "\n",
        "# Launch the app\n",
        "iface.launch()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 648
        },
        "id": "ntpC5iPCH423",
        "outputId": "45c95a63-44cd-422a-85e1-c73d6458320a"
      },
      "id": "ntpC5iPCH423",
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Running Gradio in a Colab notebook requires sharing enabled. Automatically setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n",
            "\n",
            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "* Running on public URL: https://1c3e46685854fa62fb.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<div><iframe src=\"https://1c3e46685854fa62fb.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
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          "metadata": {},
          "execution_count": 25
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