RegresionLineal.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "UEADdl9P4xe7"
      },
      "outputs": [],
      "source": [
        "# importing modules and packages\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn import linear_model\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.metrics import mean_squared_error, mean_absolute_error\n",
        "from sklearn import preprocessing\n",
        "from sklearn.metrics import mean_squared_error\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "wpE4K7VS4zza",
        "outputId": "bc06c037-94ca-4f85-b7ae-650ed85e5482"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Hora</th>\n",
              "      <th>Radiacion</th>\n",
              "      <th>Temperatura</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>55057.000000</td>\n",
              "      <td>55057.000000</td>\n",
              "      <td>55057.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>11.531994</td>\n",
              "      <td>141.925368</td>\n",
              "      <td>299.771280</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>6.941456</td>\n",
              "      <td>233.493456</td>\n",
              "      <td>4.018667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>291.850000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>6.000000</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>296.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>12.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>298.450000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>18.000000</td>\n",
              "      <td>222.000000</td>\n",
              "      <td>302.150000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>23.000000</td>\n",
              "      <td>1459.000000</td>\n",
              "      <td>314.850000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               Hora     Radiacion   Temperatura\n",
              "count  55057.000000  55057.000000  55057.000000\n",
              "mean      11.531994    141.925368    299.771280\n",
              "std        6.941456    233.493456      4.018667\n",
              "min        0.000000     -9.000000    291.850000\n",
              "25%        6.000000     -1.000000    296.750000\n",
              "50%       12.000000      0.000000    298.450000\n",
              "75%       18.000000    222.000000    302.150000\n",
              "max       23.000000   1459.000000    314.850000"
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df = pd.read_csv('datos.csv', sep=\",\")\n",
        "df.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "RshnIPZpZYUH",
        "outputId": "dfd1ff08-c0d7-4da0-ceac-2dad92d8e7aa"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Hora</th>\n",
              "      <th>Radiacion</th>\n",
              "      <th>Temperatura</th>\n",
              "      <th>Mes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>55057.000000</td>\n",
              "      <td>55057.000000</td>\n",
              "      <td>55057.000000</td>\n",
              "      <td>55057.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>11.531994</td>\n",
              "      <td>141.925368</td>\n",
              "      <td>299.771280</td>\n",
              "      <td>6.068965</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>6.941456</td>\n",
              "      <td>233.493456</td>\n",
              "      <td>4.018667</td>\n",
              "      <td>3.225913</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>-9.000000</td>\n",
              "      <td>291.850000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>6.000000</td>\n",
              "      <td>-1.000000</td>\n",
              "      <td>296.750000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>12.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>298.450000</td>\n",
              "      <td>6.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>18.000000</td>\n",
              "      <td>222.000000</td>\n",
              "      <td>302.150000</td>\n",
              "      <td>9.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>23.000000</td>\n",
              "      <td>1459.000000</td>\n",
              "      <td>314.850000</td>\n",
              "      <td>12.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "               Hora     Radiacion   Temperatura           Mes\n",
              "count  55057.000000  55057.000000  55057.000000  55057.000000\n",
              "mean      11.531994    141.925368    299.771280      6.068965\n",
              "std        6.941456    233.493456      4.018667      3.225913\n",
              "min        0.000000     -9.000000    291.850000      1.000000\n",
              "25%        6.000000     -1.000000    296.750000      3.000000\n",
              "50%       12.000000      0.000000    298.450000      6.000000\n",
              "75%       18.000000    222.000000    302.150000      9.000000\n",
              "max       23.000000   1459.000000    314.850000     12.000000"
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df['Mes'] = pd.to_datetime(df['Fecha'], format='%Y-%m-%d').dt.strftime('%m').astype('int')\n",
        "df.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {},
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "C:\\Users\\DELL\\AppData\\Local\\Temp\\ipykernel_10724\\602857286.py:2: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  df2.rename(columns={'Temperatura':'Temperature','Hora':'Time of Day', 'Radiacion':'Irradiance','Mes':'Month'},inplace=True)\n"
          ]
        },
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "df2 = df[['Temperatura','Hora','Radiacion', 'Mes']]\n",
        "df2.rename(columns={'Temperatura':'Temperature','Hora':'Time of Day', 'Radiacion':'Irradiance','Mes':'Month'},inplace=True)\n",
        "correlation_matrix = df2.corr()\n",
        "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "DVUkQ5huWxEw",
        "outputId": "a16dff15-d09e-4601-ba48-f6a764fc7164"
      },
      "outputs": [],
      "source": [
        "#df2=df.loc[(df['Hora'] >= 12) & (df['Hora'] <= 13)]\n",
        "df2=df\n",
        "x = df2[['Temperatura','Hora','Mes']]\n",
        "y = df2['Radiacion']\n",
        "\n",
        "# Con sklearn\n",
        "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=101)\n",
        "regr = linear_model.LinearRegression()\n",
        "regr.fit(x_train, y_train)\n",
        "score = regr.score(x_train, y_train)\n",
        "print('Score: \\n', score)\n",
        "print('Intercept: \\n', regr.intercept_)\n",
        "print('Coeficientes: \\n', regr.coef_)\n",
        "predictions = regr.predict(x_test)\n",
        "print('mean_squared_error : ', mean_squared_error(y_test, predictions))\n",
        "print('mean_absolute_error : ', mean_absolute_error(y_test, predictions))\n",
        "\n",
        "fig = sns.scatterplot(x=x_test['Temperatura'], y=y_test)\n",
        "plt.scatter(x_test['Temperatura'], y=predictions)\n",
        "plt.show()\n",
        "\n",
        "\n",
        "# Con statsmodels\n",
        "x = sm.add_constant(x)\n",
        "model = sm.OLS(y, x).fit()\n",
        "predictions = model.predict(x)\n",
        "print_model = model.summary()\n",
        "print(print_model)\n",
        "fig = sns.scatterplot(data=df2, x='Temperatura', y='Radiacion', hue='Hora', palette='Paired_r')\n",
        "plt.scatter(x['Temperatura'], y=predictions, color='b')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "yFm2LOfkrlH4",
        "outputId": "bab8efb4-4e1c-4133-b8d2-d42621248ad7"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:              Radiacion   R-squared:                       0.574\n",
            "Model:                            OLS   Adj. R-squared:                  0.574\n",
            "Method:                 Least Squares   F-statistic:                 7.413e+04\n",
            "Date:                Mon, 24 Jul 2023   Prob (F-statistic):               0.00\n",
            "Time:                        14:42:32   Log-Likelihood:            -3.5488e+05\n",
            "No. Observations:               55057   AIC:                         7.098e+05\n",
            "Df Residuals:                   55055   BIC:                         7.098e+05\n",
            "Df Model:                           1                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "===============================================================================\n",
            "                  coef    std err          t      P>|t|      [0.025      0.975]\n",
            "-------------------------------------------------------------------------------\n",
            "Intercept   -1.305e+04     48.464   -269.313      0.000   -1.31e+04    -1.3e+04\n",
            "Temperatura    44.0131      0.162    272.266      0.000      43.696      44.330\n",
            "==============================================================================\n",
            "Omnibus:                    13832.562   Durbin-Watson:                   0.344\n",
            "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            52894.209\n",
            "Skew:                           1.216   Prob(JB):                         0.00\n",
            "Kurtosis:                       7.140   Cond. No.                     2.24e+04\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
            "[2] The condition number is large, 2.24e+04. This might indicate that there are\n",
            "strong multicollinearity or other numerical problems.\n",
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:              Radiacion   R-squared:                       0.616\n",
            "Model:                            OLS   Adj. R-squared:                  0.616\n",
            "Method:                 Least Squares   F-statistic:                 4.420e+04\n",
            "Date:                Mon, 24 Jul 2023   Prob (F-statistic):               0.00\n",
            "Time:                        14:42:32   Log-Likelihood:            -3.5199e+05\n",
            "No. Observations:               55057   AIC:                         7.040e+05\n",
            "Df Residuals:                   55054   BIC:                         7.040e+05\n",
            "Df Model:                           2                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "=========================================================================================\n",
            "                            coef    std err          t      P>|t|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------------\n",
            "Intercept              2.299e+05   3115.659     73.795      0.000    2.24e+05    2.36e+05\n",
            "Temperatura           -1567.3261     20.661    -75.860      0.000   -1607.821   -1526.831\n",
            "I(Temperatura ** 2.0)     2.6709      0.034     77.993      0.000       2.604       2.738\n",
            "==============================================================================\n",
            "Omnibus:                    15898.916   Durbin-Watson:                   0.384\n",
            "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            83684.769\n",
            "Skew:                           1.297   Prob(JB):                         0.00\n",
            "Kurtosis:                       8.454   Cond. No.                     4.54e+08\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
            "[2] The condition number is large, 4.54e+08. This might indicate that there are\n",
            "strong multicollinearity or other numerical problems.\n",
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:              Radiacion   R-squared:                       0.619\n",
            "Model:                            OLS   Adj. R-squared:                  0.619\n",
            "Method:                 Least Squares   F-statistic:                 2.980e+04\n",
            "Date:                Mon, 24 Jul 2023   Prob (F-statistic):               0.00\n",
            "Time:                        14:42:32   Log-Likelihood:            -3.5180e+05\n",
            "No. Observations:               55057   AIC:                         7.036e+05\n",
            "Df Residuals:                   55053   BIC:                         7.036e+05\n",
            "Df Model:                           3                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "=========================================================================================\n",
            "                            coef    std err          t      P>|t|      [0.025      0.975]\n",
            "-----------------------------------------------------------------------------------------\n",
            "Intercept              3.833e+06   1.82e+05     21.005      0.000    3.48e+06    4.19e+06\n",
            "Temperatura           -3.735e+04   1812.262    -20.612      0.000   -4.09e+04   -3.38e+04\n",
            "I(Temperatura ** 2.0)   121.1464      5.999     20.193      0.000     109.388     132.905\n",
            "I(Temperatura ** 3.0)    -0.1307      0.007    -19.748      0.000      -0.144      -0.118\n",
            "==============================================================================\n",
            "Omnibus:                    15275.574   Durbin-Watson:                   0.386\n",
            "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            76820.997\n",
            "Skew:                           1.256   Prob(JB):                         0.00\n",
            "Kurtosis:                       8.213   Cond. No.                     8.01e+12\n",
            "==============================================================================\n",
            "\n",
            "Notes:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
            "[2] The condition number is large, 8.01e+12. This might indicate that there are\n",
            "strong multicollinearity or other numerical problems.\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f628acf1240>"
            ]
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.scatter(df2['Temperatura'], df2['Radiacion'], s=10, alpha=0.3)\n",
        "plt.xlabel('Temperatura')\n",
        "plt.ylabel('Radiación')\n",
        "\n",
        "x = pd.DataFrame({'Temperatura': np.linspace(df2['Temperatura'].min(), df2['Temperatura'].max(), 100)})\n",
        "\n",
        "import statsmodels.formula.api as smf\n",
        "# 1-st orden polynomial\n",
        "poly_1 = smf.ols(formula='Radiacion ~ 1 + Temperatura', data=df2).fit()\n",
        "plt.plot(x.Temperatura, poly_1.predict(x), 'b-', label='Poly n=1 $R^2$=%.2f' % poly_1.rsquared,\n",
        "         alpha=0.9)\n",
        "print(poly_1.summary())\n",
        "\n",
        "# 2-nd orden polynomial\n",
        "poly_2 = smf.ols(formula='Radiacion ~ 1 + Temperatura + I(Temperatura ** 2.0)', data=df2).fit()\n",
        "plt.plot(x.Temperatura, poly_2.predict(x), 'g-', label='Poly n=2 $R^2$=%.2f' % poly_2.rsquared,\n",
        "         alpha=0.9)\n",
        "print(poly_2.summary())\n",
        "\n",
        "# 3-rd orden polynomial\n",
        "poly_3 = smf.ols(formula='Radiacion ~ 1 + Temperatura + I(Temperatura ** 2.0) + I(Temperatura ** 3.0)', data=df2).fit()\n",
        "plt.plot(x.Temperatura, poly_3.predict(x), 'r-', alpha=0.9,\n",
        "         label='Poly n=3 $R^2$=%.2f' % poly_3.rsquared)\n",
        "\n",
        "print(poly_3.summary())\n",
        "plt.legend()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 517
        },
        "id": "uiGe4JhwWvvr",
        "outputId": "a33b4017-e053-493e-c8a7-0e138143b692"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "KNeighborsRegressor(metric='euclidean', n_jobs=1, n_neighbors=10,\n",
            "                    weights='distance')\n",
            "Knn Score:  0.7769125350898337\n",
            "Knn Mean Squared Error: 12162.327867965696\n",
            "Root Mean Squared Error: 110.28294459237881\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "from sklearn.neighbors import KNeighborsRegressor\n",
        "import random\n",
        "import math\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.metrics import mean_squared_error\n",
        "from sklearn.neighbors import KNeighborsRegressor\n",
        "\n",
        "x = df2[['Temperatura','Hora']]\n",
        "y = df2['Radiacion']\n",
        "\n",
        "model= KNeighborsRegressor(algorithm='auto', leaf_size=30, metric='euclidean',\n",
        "          metric_params=None, n_jobs=1, n_neighbors=10, p=2,\n",
        "          weights='distance')\n",
        "\n",
        "model.fit(x,y)\n",
        "pred_y = model.predict(x)\n",
        "score=model.score(x,y)\n",
        "mse =mean_squared_error(y, pred_y)\n",
        "rmse = math.sqrt(mse)\n",
        "\n",
        "print(model)\n",
        "print('Knn Score: ' , score)\n",
        "print(\"Knn Mean Squared Error:\",mse)\n",
        "print(\"Root Mean Squared Error:\", rmse)\n",
        "\n",
        "plt.scatter(x['Temperatura'], y, s=5, color=\"blue\", label=\"original\")\n",
        "plt.scatter(x['Temperatura'], pred_y,  s=5, color=\"red\", label=\"predicted\")\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 135
        },
        "id": "ev3ybPrD0cSv",
        "outputId": "1103c446-dee5-4549-c402-77e5c5ee4a2e"
      },
      "outputs": [],
      "source": [
        "df2=df\n",
        "data_train, target_train = df2[['Temperatura']], df2['Radiacion']\n",
        "\n",
        "data_test = pd.DataFrame(\n",
        "    np.arange(data_train['Temperatura'].min(), data_train['Temperatura'].max()),\n",
        "    columns=['Temperatura'],\n",
        ")\n",
        "from sklearn.tree import DecisionTreeRegressor\n",
        "tree = DecisionTreeRegressor(max_depth=3)\n",
        "tree.fit(data_train, target_train)\n",
        "target_predicted = tree.predict(df['Temperatura'].reshape(-1:1))\n",
        "\n",
        "sns.scatterplot(data=df2, x='Temperatura', y='Radiacion', color=\"black\", label=\"Original\")\n",
        "sns.scatterplot(x=df['Temperatura'], y=target_predicted, color=\"red\", label=\"Decision tree\")\n",
        "plt.legend()\n",
        "plt.title(\"DecisionTreeRegressor\")\n",
        "\n",
        "print(\"Score: \", tree.score(data_train, target_train))\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 477
        },
        "id": "DOymHVi6Yai9",
        "outputId": "f098aea9-7f93-4d18-aec3-d60331faa146"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<style type=\"text/css\">\n",
              "</style>\n",
              "<table id=\"T_0393c\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >Hora</th>\n",
              "      <th id=\"T_0393c_level0_col0\" class=\"col_heading level0 col0\" >0</th>\n",
              "      <th id=\"T_0393c_level0_col1\" class=\"col_heading level0 col1\" >1</th>\n",
              "      <th id=\"T_0393c_level0_col2\" class=\"col_heading level0 col2\" >2</th>\n",
              "      <th id=\"T_0393c_level0_col3\" class=\"col_heading level0 col3\" >3</th>\n",
              "      <th id=\"T_0393c_level0_col4\" class=\"col_heading level0 col4\" >4</th>\n",
              "      <th id=\"T_0393c_level0_col5\" class=\"col_heading level0 col5\" >5</th>\n",
              "      <th id=\"T_0393c_level0_col6\" class=\"col_heading level0 col6\" >6</th>\n",
              "      <th id=\"T_0393c_level0_col7\" class=\"col_heading level0 col7\" >7</th>\n",
              "      <th id=\"T_0393c_level0_col8\" class=\"col_heading level0 col8\" >8</th>\n",
              "      <th id=\"T_0393c_level0_col9\" class=\"col_heading level0 col9\" >9</th>\n",
              "      <th id=\"T_0393c_level0_col10\" class=\"col_heading level0 col10\" >10</th>\n",
              "      <th id=\"T_0393c_level0_col11\" class=\"col_heading level0 col11\" >11</th>\n",
              "      <th id=\"T_0393c_level0_col12\" class=\"col_heading level0 col12\" >12</th>\n",
              "      <th id=\"T_0393c_level0_col13\" class=\"col_heading level0 col13\" >13</th>\n",
              "      <th id=\"T_0393c_level0_col14\" class=\"col_heading level0 col14\" >14</th>\n",
              "      <th id=\"T_0393c_level0_col15\" class=\"col_heading level0 col15\" >15</th>\n",
              "      <th id=\"T_0393c_level0_col16\" class=\"col_heading level0 col16\" >16</th>\n",
              "      <th id=\"T_0393c_level0_col17\" class=\"col_heading level0 col17\" >17</th>\n",
              "      <th id=\"T_0393c_level0_col18\" class=\"col_heading level0 col18\" >18</th>\n",
              "      <th id=\"T_0393c_level0_col19\" class=\"col_heading level0 col19\" >19</th>\n",
              "      <th id=\"T_0393c_level0_col20\" class=\"col_heading level0 col20\" >20</th>\n",
              "      <th id=\"T_0393c_level0_col21\" class=\"col_heading level0 col21\" >21</th>\n",
              "      <th id=\"T_0393c_level0_col22\" class=\"col_heading level0 col22\" >22</th>\n",
              "      <th id=\"T_0393c_level0_col23\" class=\"col_heading level0 col23\" >23</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th class=\"index_name level0\" >Mes</th>\n",
              "      <th class=\"blank col0\" >&nbsp;</th>\n",
              "      <th class=\"blank col1\" >&nbsp;</th>\n",
              "      <th class=\"blank col2\" >&nbsp;</th>\n",
              "      <th class=\"blank col3\" >&nbsp;</th>\n",
              "      <th class=\"blank col4\" >&nbsp;</th>\n",
              "      <th class=\"blank col5\" >&nbsp;</th>\n",
              "      <th class=\"blank col6\" >&nbsp;</th>\n",
              "      <th class=\"blank col7\" >&nbsp;</th>\n",
              "      <th class=\"blank col8\" >&nbsp;</th>\n",
              "      <th class=\"blank col9\" >&nbsp;</th>\n",
              "      <th class=\"blank col10\" >&nbsp;</th>\n",
              "      <th class=\"blank col11\" >&nbsp;</th>\n",
              "      <th class=\"blank col12\" >&nbsp;</th>\n",
              "      <th class=\"blank col13\" >&nbsp;</th>\n",
              "      <th class=\"blank col14\" >&nbsp;</th>\n",
              "      <th class=\"blank col15\" >&nbsp;</th>\n",
              "      <th class=\"blank col16\" >&nbsp;</th>\n",
              "      <th class=\"blank col17\" >&nbsp;</th>\n",
              "      <th class=\"blank col18\" >&nbsp;</th>\n",
              "      <th class=\"blank col19\" >&nbsp;</th>\n",
              "      <th class=\"blank col20\" >&nbsp;</th>\n",
              "      <th class=\"blank col21\" >&nbsp;</th>\n",
              "      <th class=\"blank col22\" >&nbsp;</th>\n",
              "      <th class=\"blank col23\" >&nbsp;</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th id=\"T_0393c_level0_row0\" class=\"row_heading level0 row0\" >1</th>\n",
              "      <td id=\"T_0393c_row0_col0\" class=\"data row0 col0\" >145</td>\n",
              "      <td id=\"T_0393c_row0_col1\" class=\"data row0 col1\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col2\" class=\"data row0 col2\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col3\" class=\"data row0 col3\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col4\" class=\"data row0 col4\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col5\" class=\"data row0 col5\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col6\" class=\"data row0 col6\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col7\" class=\"data row0 col7\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col8\" class=\"data row0 col8\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col9\" class=\"data row0 col9\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col10\" class=\"data row0 col10\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col11\" class=\"data row0 col11\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col12\" class=\"data row0 col12\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col13\" class=\"data row0 col13\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col14\" class=\"data row0 col14\" >144</td>\n",
              "      <td id=\"T_0393c_row0_col15\" class=\"data row0 col15\" >148</td>\n",
              "      <td id=\"T_0393c_row0_col16\" class=\"data row0 col16\" >156</td>\n",
              "      <td id=\"T_0393c_row0_col17\" class=\"data row0 col17\" >156</td>\n",
              "      <td id=\"T_0393c_row0_col18\" class=\"data row0 col18\" >156</td>\n",
              "      <td id=\"T_0393c_row0_col19\" class=\"data row0 col19\" >156</td>\n",
              "      <td id=\"T_0393c_row0_col20\" class=\"data row0 col20\" >156</td>\n",
              "      <td id=\"T_0393c_row0_col21\" class=\"data row0 col21\" >156</td>\n",
              "      <td id=\"T_0393c_row0_col22\" class=\"data row0 col22\" >156</td>\n",
              "      <td id=\"T_0393c_row0_col23\" class=\"data row0 col23\" >156</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_0393c_level0_row1\" class=\"row_heading level0 row1\" >2</th>\n",
              "      <td id=\"T_0393c_row1_col0\" class=\"data row1 col0\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col1\" class=\"data row1 col1\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col2\" class=\"data row1 col2\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col3\" class=\"data row1 col3\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col4\" class=\"data row1 col4\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col5\" class=\"data row1 col5\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col6\" class=\"data row1 col6\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col7\" class=\"data row1 col7\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col8\" class=\"data row1 col8\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col9\" class=\"data row1 col9\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col10\" class=\"data row1 col10\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col11\" class=\"data row1 col11\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col12\" class=\"data row1 col12\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col13\" class=\"data row1 col13\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col14\" class=\"data row1 col14\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col15\" class=\"data row1 col15\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col16\" class=\"data row1 col16\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col17\" class=\"data row1 col17\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col18\" class=\"data row1 col18\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col19\" class=\"data row1 col19\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col20\" class=\"data row1 col20\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col21\" class=\"data row1 col21\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col22\" class=\"data row1 col22\" >240</td>\n",
              "      <td id=\"T_0393c_row1_col23\" class=\"data row1 col23\" >240</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_0393c_level0_row2\" class=\"row_heading level0 row2\" >3</th>\n",
              "      <td id=\"T_0393c_row2_col0\" class=\"data row2 col0\" >227</td>\n",
              "      <td id=\"T_0393c_row2_col1\" class=\"data row2 col1\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col2\" class=\"data row2 col2\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col3\" class=\"data row2 col3\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col4\" class=\"data row2 col4\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col5\" class=\"data row2 col5\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col6\" class=\"data row2 col6\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col7\" class=\"data row2 col7\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col8\" class=\"data row2 col8\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col9\" class=\"data row2 col9\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col10\" class=\"data row2 col10\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col11\" class=\"data row2 col11\" >217</td>\n",
              "      <td id=\"T_0393c_row2_col12\" class=\"data row2 col12\" >221</td>\n",
              "      <td id=\"T_0393c_row2_col13\" class=\"data row2 col13\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col14\" class=\"data row2 col14\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col15\" class=\"data row2 col15\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col16\" class=\"data row2 col16\" >227</td>\n",
              "      <td id=\"T_0393c_row2_col17\" class=\"data row2 col17\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col18\" class=\"data row2 col18\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col19\" class=\"data row2 col19\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col20\" class=\"data row2 col20\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col21\" class=\"data row2 col21\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col22\" class=\"data row2 col22\" >228</td>\n",
              "      <td id=\"T_0393c_row2_col23\" class=\"data row2 col23\" >228</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_0393c_level0_row3\" class=\"row_heading level0 row3\" >4</th>\n",
              "      <td id=\"T_0393c_row3_col0\" class=\"data row3 col0\" >242</td>\n",
              "      <td id=\"T_0393c_row3_col1\" class=\"data row3 col1\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col2\" class=\"data row3 col2\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col3\" class=\"data row3 col3\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col4\" class=\"data row3 col4\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col5\" class=\"data row3 col5\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col6\" class=\"data row3 col6\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col7\" class=\"data row3 col7\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col8\" class=\"data row3 col8\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col9\" class=\"data row3 col9\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col10\" class=\"data row3 col10\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col11\" class=\"data row3 col11\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col12\" class=\"data row3 col12\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col13\" class=\"data row3 col13\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col14\" class=\"data row3 col14\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col15\" class=\"data row3 col15\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col16\" class=\"data row3 col16\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col17\" class=\"data row3 col17\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col18\" class=\"data row3 col18\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col19\" class=\"data row3 col19\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col20\" class=\"data row3 col20\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col21\" class=\"data row3 col21\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col22\" class=\"data row3 col22\" >240</td>\n",
              "      <td id=\"T_0393c_row3_col23\" class=\"data row3 col23\" >240</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_0393c_level0_row4\" class=\"row_heading level0 row4\" >5</th>\n",
              "      <td id=\"T_0393c_row4_col0\" class=\"data row4 col0\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col1\" class=\"data row4 col1\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col2\" class=\"data row4 col2\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col3\" class=\"data row4 col3\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col4\" class=\"data row4 col4\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col5\" class=\"data row4 col5\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col6\" class=\"data row4 col6\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col7\" class=\"data row4 col7\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col8\" class=\"data row4 col8\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col9\" class=\"data row4 col9\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col10\" class=\"data row4 col10\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col11\" class=\"data row4 col11\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col12\" class=\"data row4 col12\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col13\" class=\"data row4 col13\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col14\" class=\"data row4 col14\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col15\" class=\"data row4 col15\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col16\" class=\"data row4 col16\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col17\" class=\"data row4 col17\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col18\" class=\"data row4 col18\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col19\" class=\"data row4 col19\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col20\" class=\"data row4 col20\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col21\" class=\"data row4 col21\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col22\" class=\"data row4 col22\" >240</td>\n",
              "      <td id=\"T_0393c_row4_col23\" class=\"data row4 col23\" >240</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_0393c_level0_row5\" class=\"row_heading level0 row5\" >6</th>\n",
              "      <td id=\"T_0393c_row5_col0\" class=\"data row5 col0\" >215</td>\n",
              "      <td id=\"T_0393c_row5_col1\" class=\"data row5 col1\" >211</td>\n",
              "      <td id=\"T_0393c_row5_col2\" class=\"data row5 col2\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col3\" class=\"data row5 col3\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col4\" class=\"data row5 col4\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col5\" class=\"data row5 col5\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col6\" class=\"data row5 col6\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col7\" class=\"data row5 col7\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col8\" class=\"data row5 col8\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col9\" class=\"data row5 col9\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col10\" class=\"data row5 col10\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col11\" class=\"data row5 col11\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col12\" class=\"data row5 col12\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col13\" class=\"data row5 col13\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col14\" class=\"data row5 col14\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col15\" class=\"data row5 col15\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col16\" class=\"data row5 col16\" >204</td>\n",
              "      <td id=\"T_0393c_row5_col17\" class=\"data row5 col17\" >206</td>\n",
              "      <td id=\"T_0393c_row5_col18\" class=\"data row5 col18\" >216</td>\n",
              "      <td id=\"T_0393c_row5_col19\" class=\"data row5 col19\" >216</td>\n",
              "      <td id=\"T_0393c_row5_col20\" class=\"data row5 col20\" >216</td>\n",
              "      <td id=\"T_0393c_row5_col21\" class=\"data row5 col21\" >216</td>\n",
              "      <td id=\"T_0393c_row5_col22\" class=\"data row5 col22\" >216</td>\n",
              "      <td id=\"T_0393c_row5_col23\" class=\"data row5 col23\" >216</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_0393c_level0_row6\" class=\"row_heading level0 row6\" >7</th>\n",
              "      <td id=\"T_0393c_row6_col0\" class=\"data row6 col0\" >121</td>\n",
              "      <td id=\"T_0393c_row6_col1\" class=\"data row6 col1\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col2\" class=\"data row6 col2\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col3\" class=\"data row6 col3\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col4\" class=\"data row6 col4\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col5\" class=\"data row6 col5\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col6\" class=\"data row6 col6\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col7\" class=\"data row6 col7\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col8\" class=\"data row6 col8\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col9\" class=\"data row6 col9\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col10\" class=\"data row6 col10\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col11\" class=\"data row6 col11\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col12\" class=\"data row6 col12\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col13\" class=\"data row6 col13\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col14\" class=\"data row6 col14\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col15\" class=\"data row6 col15\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col16\" class=\"data row6 col16\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col17\" class=\"data row6 col17\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col18\" class=\"data row6 col18\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col19\" class=\"data row6 col19\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col20\" class=\"data row6 col20\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col21\" class=\"data row6 col21\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col22\" class=\"data row6 col22\" >120</td>\n",
              "      <td id=\"T_0393c_row6_col23\" class=\"data row6 col23\" >120</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_0393c_level0_row7\" class=\"row_heading level0 row7\" >8</th>\n",
              "      <td id=\"T_0393c_row7_col0\" class=\"data row7 col0\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col1\" class=\"data row7 col1\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col2\" class=\"data row7 col2\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col3\" class=\"data row7 col3\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col4\" class=\"data row7 col4\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col5\" class=\"data row7 col5\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col6\" class=\"data row7 col6\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col7\" class=\"data row7 col7\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col8\" class=\"data row7 col8\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col9\" class=\"data row7 col9\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col10\" class=\"data row7 col10\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col11\" class=\"data row7 col11\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col12\" class=\"data row7 col12\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col13\" class=\"data row7 col13\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col14\" class=\"data row7 col14\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col15\" class=\"data row7 col15\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col16\" class=\"data row7 col16\" >240</td>\n",
              "      <td id=\"T_0393c_row7_col17\" class=\"data row7 col17\" >251</td>\n",
              "      <td id=\"T_0393c_row7_col18\" class=\"data row7 col18\" >252</td>\n",
              "      <td id=\"T_0393c_row7_col19\" class=\"data row7 col19\" >252</td>\n",
              "      <td id=\"T_0393c_row7_col20\" class=\"data row7 col20\" >252</td>\n",
              "      <td id=\"T_0393c_row7_col21\" class=\"data row7 col21\" >252</td>\n",
              "      <td id=\"T_0393c_row7_col22\" class=\"data row7 col22\" >252</td>\n",
              "      <td id=\"T_0393c_row7_col23\" class=\"data row7 col23\" >252</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_0393c_level0_row8\" class=\"row_heading level0 row8\" >9</th>\n",
              "      <td id=\"T_0393c_row8_col0\" class=\"data row8 col0\" >205</td>\n",
              "      <td id=\"T_0393c_row8_col1\" class=\"data row8 col1\" >204</td>\n",
              "      <td id=\"T_0393c_row8_col2\" class=\"data row8 col2\" >204</td>\n",
              "      <td id=\"T_0393c_row8_col3\" class=\"data row8 col3\" >204</td>\n",
              "      <td id=\"T_0393c_row8_col4\" class=\"data row8 col4\" >204</td>\n",
              "      <td id=\"T_0393c_row8_col5\" class=\"data row8 col5\" >215</td>\n",
              "      <td id=\"T_0393c_row8_col6\" class=\"data row8 col6\" >216</td>\n",
              "      <td id=\"T_0393c_row8_col7\" class=\"data row8 col7\" >216</td>\n",
              "      <td id=\"T_0393c_row8_col8\" class=\"data row8 col8\" >216</td>\n",
              "      <td id=\"T_0393c_row8_col9\" class=\"data row8 col9\" >216</td>\n",
              "      <td id=\"T_0393c_row8_col10\" class=\"data row8 col10\" >216</td>\n",
              "      <td id=\"T_0393c_row8_col11\" class=\"data row8 col11\" >216</td>\n",
              "      <td id=\"T_0393c_row8_col12\" class=\"data row8 col12\" >213</td>\n",
              "      <td id=\"T_0393c_row8_col13\" class=\"data row8 col13\" >204</td>\n",
              "      <td id=\"T_0393c_row8_col14\" class=\"data row8 col14\" >204</td>\n",
              "      <td id=\"T_0393c_row8_col15\" class=\"data row8 col15\" >204</td>\n",
              "      <td id=\"T_0393c_row8_col16\" class=\"data row8 col16\" >204</td>\n",
              "      <td id=\"T_0393c_row8_col17\" class=\"data row8 col17\" >204</td>\n",
              "      <td id=\"T_0393c_row8_col18\" class=\"data row8 col18\" >204</td>\n",
              "      <td id=\"T_0393c_row8_col19\" class=\"data row8 col19\" >204</td>\n",
              "      <td id=\"T_0393c_row8_col20\" class=\"data row8 col20\" >206</td>\n",
              "      <td id=\"T_0393c_row8_col21\" class=\"data row8 col21\" >216</td>\n",
              "      <td id=\"T_0393c_row8_col22\" class=\"data row8 col22\" >216</td>\n",
              "      <td id=\"T_0393c_row8_col23\" class=\"data row8 col23\" >216</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_0393c_level0_row9\" class=\"row_heading level0 row9\" >10</th>\n",
              "      <td id=\"T_0393c_row9_col0\" class=\"data row9 col0\" >203</td>\n",
              "      <td id=\"T_0393c_row9_col1\" class=\"data row9 col1\" >204</td>\n",
              "      <td id=\"T_0393c_row9_col2\" class=\"data row9 col2\" >204</td>\n",
              "      <td id=\"T_0393c_row9_col3\" class=\"data row9 col3\" >204</td>\n",
              "      <td id=\"T_0393c_row9_col4\" class=\"data row9 col4\" >195</td>\n",
              "      <td id=\"T_0393c_row9_col5\" class=\"data row9 col5\" >181</td>\n",
              "      <td id=\"T_0393c_row9_col6\" class=\"data row9 col6\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col7\" class=\"data row9 col7\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col8\" class=\"data row9 col8\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col9\" class=\"data row9 col9\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col10\" class=\"data row9 col10\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col11\" class=\"data row9 col11\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col12\" class=\"data row9 col12\" >170</td>\n",
              "      <td id=\"T_0393c_row9_col13\" class=\"data row9 col13\" >168</td>\n",
              "      <td id=\"T_0393c_row9_col14\" class=\"data row9 col14\" >172</td>\n",
              "      <td id=\"T_0393c_row9_col15\" class=\"data row9 col15\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col16\" class=\"data row9 col16\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col17\" class=\"data row9 col17\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col18\" class=\"data row9 col18\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col19\" class=\"data row9 col19\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col20\" class=\"data row9 col20\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col21\" class=\"data row9 col21\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col22\" class=\"data row9 col22\" >180</td>\n",
              "      <td id=\"T_0393c_row9_col23\" class=\"data row9 col23\" >180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_0393c_level0_row10\" class=\"row_heading level0 row10\" >11</th>\n",
              "      <td id=\"T_0393c_row10_col0\" class=\"data row10 col0\" >108</td>\n",
              "      <td id=\"T_0393c_row10_col1\" class=\"data row10 col1\" >108</td>\n",
              "      <td id=\"T_0393c_row10_col2\" class=\"data row10 col2\" >108</td>\n",
              "      <td id=\"T_0393c_row10_col3\" class=\"data row10 col3\" >108</td>\n",
              "      <td id=\"T_0393c_row10_col4\" class=\"data row10 col4\" >108</td>\n",
              "      <td id=\"T_0393c_row10_col5\" class=\"data row10 col5\" >108</td>\n",
              "      <td id=\"T_0393c_row10_col6\" class=\"data row10 col6\" >108</td>\n",
              "      <td id=\"T_0393c_row10_col7\" class=\"data row10 col7\" >108</td>\n",
              "      <td id=\"T_0393c_row10_col8\" class=\"data row10 col8\" >108</td>\n",
              "      <td id=\"T_0393c_row10_col9\" class=\"data row10 col9\" >108</td>\n",
              "      <td id=\"T_0393c_row10_col10\" class=\"data row10 col10\" >108</td>\n",
              "      <td id=\"T_0393c_row10_col11\" class=\"data row10 col11\" >118</td>\n",
              "      <td id=\"T_0393c_row10_col12\" class=\"data row10 col12\" >120</td>\n",
              "      <td id=\"T_0393c_row10_col13\" class=\"data row10 col13\" >120</td>\n",
              "      <td id=\"T_0393c_row10_col14\" class=\"data row10 col14\" >120</td>\n",
              "      <td id=\"T_0393c_row10_col15\" class=\"data row10 col15\" >120</td>\n",
              "      <td id=\"T_0393c_row10_col16\" class=\"data row10 col16\" >120</td>\n",
              "      <td id=\"T_0393c_row10_col17\" class=\"data row10 col17\" >120</td>\n",
              "      <td id=\"T_0393c_row10_col18\" class=\"data row10 col18\" >120</td>\n",
              "      <td id=\"T_0393c_row10_col19\" class=\"data row10 col19\" >120</td>\n",
              "      <td id=\"T_0393c_row10_col20\" class=\"data row10 col20\" >120</td>\n",
              "      <td id=\"T_0393c_row10_col21\" class=\"data row10 col21\" >120</td>\n",
              "      <td id=\"T_0393c_row10_col22\" class=\"data row10 col22\" >120</td>\n",
              "      <td id=\"T_0393c_row10_col23\" class=\"data row10 col23\" >120</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th id=\"T_0393c_level0_row11\" class=\"row_heading level0 row11\" >12</th>\n",
              "      <td id=\"T_0393c_row11_col0\" class=\"data row11 col0\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col1\" class=\"data row11 col1\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col2\" class=\"data row11 col2\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col3\" class=\"data row11 col3\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col4\" class=\"data row11 col4\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col5\" class=\"data row11 col5\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col6\" class=\"data row11 col6\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col7\" class=\"data row11 col7\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col8\" class=\"data row11 col8\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col9\" class=\"data row11 col9\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col10\" class=\"data row11 col10\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col11\" class=\"data row11 col11\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col12\" class=\"data row11 col12\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col13\" class=\"data row11 col13\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col14\" class=\"data row11 col14\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col15\" class=\"data row11 col15\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col16\" class=\"data row11 col16\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col17\" class=\"data row11 col17\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col18\" class=\"data row11 col18\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col19\" class=\"data row11 col19\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col20\" class=\"data row11 col20\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col21\" class=\"data row11 col21\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col22\" class=\"data row11 col22\" >120</td>\n",
              "      <td id=\"T_0393c_row11_col23\" class=\"data row11 col23\" >120</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n"
            ],
            "text/plain": [
              "<pandas.io.formats.style.Styler at 0x7ee856dcda80>"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "df_resume = df.pivot_table(\n",
        "    index='Mes',\n",
        "    columns='Hora',\n",
        "    values='Temperatura',\n",
        "    aggfunc='count'\n",
        ")\n",
        "\n",
        "df_resume.style \\\n",
        "  .format(precision=3, thousands=\".\", decimal=\",\") \\\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 471
        },
        "id": "gdQvd591L041",
        "outputId": "50634a0a-d007-4bb6-8c49-2e457bdb24f3"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Axes: xlabel='Hora', ylabel='Mes'>"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import seaborn as sns\n",
        "sns.heatmap(data=df_resume, linewidth=.5)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "HuaiZBLfRsoc"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.svm import SVR\n",
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "df2= df.loc[(df['Mes'] == 2)]\n",
        "X=df2[['Temperatura','Hora']]\n",
        "y=df2['Radiacion']\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "\n",
        "scaler = StandardScaler()\n",
        "X_train_scaled = scaler.fit_transform(X_train)\n",
        "X_test_scaled = scaler.transform(X_test)\n",
        "\n",
        "svm_regressor = SVR(kernel='linear')\n",
        "\n",
        "svm_regressor.fit(X_train_scaled, y_train)\n",
        "y_pred = svm_regressor.predict(X_test_scaled)\n",
        "\n",
        "mse = mean_squared_error(y_test, y_pred)\n",
        "r2 = r2_score(y_test, y_pred)\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 509
        },
        "id": "UjbQnb1YHdm8",
        "outputId": "5822fa4c-16cc-4527-a5d7-3d4d6a31e38d"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Error cuadrático medio (MSE): 28724.42\n",
            "Coeficiente de determinación (R2): 0.59\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "print(\"Error cuadrático medio (MSE): {:.2f}\".format(mse))\n",
        "print(\"Coeficiente de determinación (R2): {:.2f}\".format(r2))\n",
        "plt.scatter(X_test['Temperatura'], y_test, color='blue')\n",
        "plt.scatter(X_test['Temperatura'], y_pred, color='red')\n",
        "plt.xlabel('Temperatura')\n",
        "plt.ylabel('Radiación')\n",
        "plt.title('Kernel Linear SVM Kernel')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "EtsSjLdwUjek"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.ensemble import RandomForestRegressor\n",
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "\n",
        "X = df[['Temperatura', 'Hora']]\n",
        "y = df['Radiacion']\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "\n",
        "rf_regressor = RandomForestRegressor(n_estimators=100, random_state=42)\n",
        "rf_regressor.fit(X_train, y_train)\n",
        "y_pred = rf_regressor.predict(X_test)\n",
        "mse = mean_squared_error(y_test, y_pred)\n",
        "r2 = r2_score(y_test, y_pred)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 509
        },
        "id": "ybgrNfUx71xm",
        "outputId": "fb2a8ee5-706b-4947-ae3a-de103630ddbe"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Error cuadrático medio (MSE): 13859.89\n",
            "Coeficiente de determinación (R2): 0.74\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "print(\"Error cuadrático medio (MSE): {:.2f}\".format(mse))\n",
        "print(\"Coeficiente de determinación (R2): {:.2f}\".format(r2))\n",
        "plt.scatter(X_test['Temperatura'], y_test, color='blue')\n",
        "plt.scatter(X_test['Temperatura'], y_pred, color='red')\n",
        "plt.xlabel('Temperatura')\n",
        "plt.ylabel('Radiación')\n",
        "plt.title('RandomForestRegressorl')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 509
        },
        "id": "JPOM776wW4Ep",
        "outputId": "01560211-2de7-45be-fc44-2fefcf7f7320"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Error cuadrático medio (MSE): 12994.55\n",
            "Coeficiente de determinación (R2): 0.76\n"
          ]
        },
        {
          "data": {
            "image/png": 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s2LDB9FigZaAFk5uby1FHHRW4xlbug9V7r1CkGuVRUigcoG/fvlRUVDBy5EiOOeaYgDK3iLB69WoqKipwu90xU/ePPfZY+vTpw1133UVdXR15eXlUVlYaxgJNnjyZSy+9lPPOO48bb7yRbdu2MWvWLE444QTDeKlgpkyZQnV1NWeeeSY333wzxx9/PNu2bePjjz9m6dKlbNu2zfY1OPXUU3nppZcYN24cp59+Orm5uVx22WWB9R9//HHAg7Nr1y7efPNNKisrOeecc7jwwgsBzdt17733MmnSJC6++GIuv/xyVqxYwezZszn99NMDcV6HHXYYjzzyCKNGjaJ///6MHDkyIA/Qq1cv7rzzTgC++eYbBg0axJVXXsnxxx9PmzZtWLRoEZs2bWLEiBEhY3/66af57W9/y1FHHUXXrl1N44Cs8qtf/Yonn3ySkSNHMnbsWAoLC3nxxRcDwedWvFgFBQWMGjWK2bNn87///Y/jjjuOp59+muuuu44f//jHjBgxgi5durBu3Tr+8Y9/cO655/Lkk08C8Lvf/Y7Bgwdz7rnnMmrUKLZv386TTz5Jv379Yr4/dJ566inOO+88TjzxRG6++WaOPPJINm3axLvvvkttbS2ffvopAMcffzwDBgzg1FNPJT8/n48++oiFCxcyZswYwNp9sHrvFYqUk5ZcO4WihfLtt9/KrbfeKkcddZTk5ORI27Zt5dhjj5VbbrlFPvnkk0A/PR3ciK+++kouuOACyc3NlcMPP1xuvvlm+fTTTwWQ5557LqRvZWWlHHfccZKdnS3HH3+8VFVVyfXXXx9THkBEZNOmTTJ69GgpLi6Www47TLp37y6DBg2SZ599NtBHT49fsGBByLZ6SnnweHbv3i1XX321dOrUKSQF3UgeoE2bNnLkkUdKeXl5SPq6zpNPPinHHnusHHbYYdKtWze59dZbZfv27RH9XnrpJTnllFMkOztb8vPz5ZprrpHa2trA+h9++EFGjx4txx57rLRv3146duwoZ555psyfPz9kPxs3bpRLL71UOnToIEBAKsBMHuCEE06IGIvRdf/uu+/k0ksvlbZt20qXLl1k/PjxUllZKYC89957IduavR9WrVolHo9Hrr/++sCy6upqueiii6Rjx46Sk5Mjffr0kRtuuEE++uijkG3nzZsnxx57rGRnZ0u/fv3k5ZdflmHDhsmxxx4b6KPfH7PU/VWrVsnPf/5z6d69uxx22GFSVFQkP/vZz2ThwoWBPr/97W/ljDPOkE6dOgXe8w8//LAcOHBARKzfBxFr997sHigUycAlkmA0pkKhUCgsM2PGDO68805qa2tNxR+Tycknn0yXLl0i4t4UCoUxKkZJoVAokkR42Zn9+/fzzDPP0Ldv36QbSQcPHgwEy+ssW7aMTz/9NFCiRaFQxEbFKCkUCkWSKC0tpWfPnpx88snU19czZ84cvv76a1588cWkH7uuro4LLriAa6+9lh49evD111/z+9//nu7du3PLLbck/fgKRUtBGUoKhUKRJC666CL++Mc/8uKLL+Lz+Tj++OOZN28eV111VdKP3blzZ0499VT++Mc/smXLFtq3b8+ll17KlClTKCgoSPrxFYqWgopRUigUCoVCoTBBxSgpFAqFQqFQmKAMJYVCoVAoFAoTVIySBfx+P99//z0dOnRISqkDhUKhUCgUziMi7Nq1ix49ekTU1rSKMpQs8P3331NcXJzuYSgUCoVCoYiD9evXx6yMYIYylCzQoUMHQLvQeXl5aR6NQqFQKBQKK+zcuZPi4uLAczwelKFkAX26LS8vTxlKCoVCoVA0MxIJm1HB3AqFQqFQKBQmKENJoVAoFAqFwgRlKCkUCoVCoVCYoAwlhUKhUCgUChOUoaRQKBQKhUJhgjKUFAqFQqFQKExQhpJCoVAoFAqFCcpQUigUCoVCoTBBGUoKhUKhUCgUJihlboVCoVCkDZ8PampgwwYoLISSEvB40j0qhaIJZSgpFAqFIi1UVcHYsVBb27TM64WZM6G0NH3jUiiCUVNvCoVCobCNzwfLlsHcudpfn8/e9lVVMHx4qJEEUFenLa+qcmqkCkViKENJoVAoFLaoqoJevWDgQLj6au1vr17WjRufT/MkiUSu05eVldk3vhSKZKAMJYVCoVBYxglPUE1N5PbBiMD69Vo/hSLdKENJoVAoFJZwyhO0YYO141ntp1AkE2UoKRQKhcISTnmCCgutHc9qP4UimShDSaFQKBSWcMoTVFKiZbe5XMbrXS4oLtb6KRTpRhlKCoVCobCEU54gj0eTAIBIY0l/PWOG0lNSZAZpNZTeeecdLrvsMnr06IHL5WLx4sWmfW+55RZcLhczZswIWb5t2zauueYa8vLy6NSpEzfddBO7d+8O6fPZZ59RUlJCTk4OxcXFPProo0k4G4VCoWjZOOkJKi2FhQuhqCh0uderLVc6SopMIa2G0p49ezjppJN46qmnovZbtGgR7733Hj169IhYd8011/Dll1/yxhtv8Pe//5133nmHX/7yl4H1O3fu5MILL+SII47gv//9L4899hgPPfQQzz77rOPno1AoFC0Zpz1BpaWwZg1UV0NFhfZ39WplJCkyDMkQAFm0aFHE8traWikqKpIvvvhCjjjiCJk+fXpg3VdffSWAfPjhh4Flr776qrhcLqmrqxMRkdmzZ0vnzp2loaEh0Ofuu++WY445xvLY6uvrBZD6+nr7J6ZQKBQtjMpKEa9XRAvf1lpxsbZcocgknHh+Z3SMkt/v57rrrqO8vJwTTjghYv27775Lp06dOO200wLLLrjgAtxuN++//36gz/nnn09WVlagz0UXXcSKFSvYvn274XEbGhrYuXNnSFMoFAqFhvIEKVoTGV3r7ZFHHqFNmzbccccdhus3btxI165dQ5a1adOG/Px8Nm7cGOjTu3fvkD7dunULrOvcuXPEfidPnsykSZOcOAWFQqFokXg8MGBAukehUCSfjPUo/fe//2XmzJk8//zzuMwiB5PEvffeS319faCtX78+pcdXKBQKhUKRGWSsR6mmpobNmzfTs2fPwDKfz8f48eOZMWMGa9asoXv37mzevDlku8bGRrZt20b37t0B6N69O5s2bQrpo7/W+4STnZ1Ndna2k6ejUCgUigzE59MEMjds0GQNSkqULIEilIz1KF133XV89tlnfPLJJ4HWo0cPysvLee211wA4++yz2bFjB//9738D27311lv4/X7OPPPMQJ933nmHgwcPBvq88cYbHHPMMYbTbgqFQqFoHSRa3FfROkirR2n37t18++23gderV6/mk08+IT8/n549e1JQUBDS/7DDDqN79+4cc8wxABx33HFcfPHF3Hzzzfz+97/n4MGDjBkzhhEjRgSkBK6++momTZrETTfdxN13380XX3zBzJkzmT59eupOVKFQKBQZhV7cN7xunV7cV2k5KXTS6lH66KOPOOWUUzjllFMAGDduHKeccgoPPPCA5X28+OKLHHvssQwaNIif/vSnnHfeeSEaSR07duT1119n9erVnHrqqYwfP54HHnggRGtJoVAoFK0Hp4r7KloHLhGjt4oimJ07d9KxY0fq6+vJy8tL93AUCoVCkQDLlmnTbLGorlaZfc0dJ57fGRvMrVAoFIqWTzqCqZ0q7qtoHShDSaFQKBSWcdKwqarSpsBqa5uWeb1amZRkxgc5VdxX0TrI2Kw3hUKhUGQWTmaJ6cHUwUYSNAVTJzPzzMnivoqWjzKUFAqFQhETJw2bdAdTO13cV9GyUYaSQqFQKKLitGFTUxNpcIXvc/16rV+yKC3VJACKikKXe71KGkARiopRUigUCkVU7Bg2VrLEMiWYurQUBg9WytyK6ChDSaFQKBRRcdqwyaRgalXcVxELNfWmUCgUiqg4bdioYGpFc0IZSgqFQqGIitOGjQqmVjQnlKGkUCgUiqgkw7CJFUw9eLCmoD13rvZXlRNRpAtlKCkUCoUiJsnIEisthTVrtFIhFRXa39WrtXVO6TUpFImiar1ZQNV6UygUiZKOUh3JINnnoes1hT+ZdM+VSt1X2MGJ57cylCygDCWFQpEI6SrV0dzw+TTPkZkUgculXbfVq5unkalIPU48v9XUm0KhUCSRdJbqaG5kghClQhGOMpQUCoUiSTipaO3ztfzg5kwRolQoglGGkkKhUCQJpzwkThajzWQySYhSodBRhpJCoVAkCSc8JK1p6k4JUSoyEWUoKRQKRZJI1EPidDHaTEcJUSoyEWUoKRQKRZJI1EOSjODmTI91SoZek0KRCKoorkKhUCQJ3UMyfLhmFIV7hkRg2jRzD4nTwc1OyhQkU0+ptFRT5m4JulOK5o/yKCkUCkUSMfOQ6Nx5p3mckZPBzU7GOqUiuNzjgQEDYORI7a8ykhTpQglOWkAJTioUikRZsACuvDJyeTTFaV2Asa7OOE7JqgCjk0KOSjlb0ZxQgpMKhULRDPD5YNw443XRgrKdCm52KtaptQWXKxSgDCWFQqFIOokYKk4ENzsV66SUsxWtERXMrVAoFEkmUUMl0eBmp2KdUqmc3VKKCCuaP8pQUigUiiTjhKGiBzfHgy5TECvWKZaQY6qUs5tLdp6idaCm3hQKhSLJpFtx2qlYp1Sch9XsPCt6UK2l9IsiuShDSaFQKJJMJihOOxHrlOzzsBosvnBhbAOoqgqGDYs0uGprteUt0VjKdDHR5oqSB7CAkgdQKBROYDSlVFysGRepSql3YioqWeexbJlm9MSDbqi99BLk58OQIbB7t3n/ggLYtKnlTMM5OV3ZknDi+a0MJQsoQ0mhUDhFS4mZScZ5zJ2reYgSweOx7klZuhQGDdL+b873RWlbmePE81sFcysUCkUKSSQoO5NIxnkkGgQO9qabli3TDKXm7I2JNV3pcmnTlYMHNx/DL9NQMUoKhUKhyAhiBYsnAydLu6QDpW2VfJShpFAoFArbJCNw2EqwuJOUlDR/pfFUalu1VpShpFAoFApbJDPtPlp23vz5znmcCgo0w6y5e2NSpW3VmlExSgqFosWTjkDdTA8Ojnd8ZoHD+lSVE4HD0ZTIPR7tOC6XsSfIKs8+C5s3W+ubyd4Yp8REFVGQNPL222/Lz372MyksLBRAFi1aFFh34MABmTBhgvTr10/atWsnhYWFct1110ldXV3IPrZu3SpXX321dOjQQTp27Cg33nij7Nq1K6TPp59+Kuedd55kZ2eL1+uVRx55xNY46+vrBZD6+vq4z1WhUKSHykoRr1dEe4xozevVlrekY9ohnvE1NoosXSqSnx+6XXBzuUSKi7W+qR6/x2M+LrPzrK62tk11dXLPJ1EqK7Vr73JF3g+XK3Ped+nAied3Wg2lV155Re677z6pqqqKMJR27NghF1xwgbz00kvy9ddfy7vvvitnnHGGnHrqqSH7uPjii+Wkk06S9957T2pqauSoo46SkSNHBtbX19dLt27d5JprrpEvvvhC5s6dK23btpVnnnnG8jiVoaRQNE/0B4jRAz1ZD5B0HDPZ4zMyTNJpWFRWihQVhR5TN+CMjAUQKSvTxhVsxDU2audldD1Safg5gdE9Ki5O//st3TR7QymYcEPJiA8++EAAWbt2rYiIfPXVVwLIhx9+GOjz6quvisvlCnieZs+eLZ07d5aGhoZAn7vvvluOOeYYy2NThpJC0fzQH4Kp9H6k45hOj8/r1TxHFRWaYTF/vrkhYdYqKpJ3DtEMPRApKLBnLLQkb0xjo3bP9HvXHAy8ZOPE87tZBXPX19fjcrno1KkTAO+++y6dOnXitNNOC/S54IILcLvdvP/++4E+559/PllZWYE+F110EStWrGD79u0pHb9CoUgd6UibzvRUbSvjq62FCy5oCtIeMQLbsUDJChy2ohnUtq0mJFlRAdXVsHp19JgpJ0q7xBqzKivSvGk2wdz79+/n7rvvZuTIkQF1zY0bN9K1a9eQfm3atCE/P5+NGzcG+vTu3TukT7du3QLrOnfuHHGshoYGGhoaAq937tzp6LkoFIrkk4606UxP1Y7nuH6/vf7JLO5r1dDzeGDkSOv7jRY8ngipFLJszqKZmU6zMJQOHjzIlVdeiYjw9NNPJ/14kydPZtKkSUk/jkKhSB7pSJvO9FTtVBx3xIimMiJOGx7JNESdVhq3mh3oVO29ZGcitmYyfupNN5LWrl3LG2+8EVKrpXv37mwOy+9sbGxk27ZtdO/ePdBn06ZNIX3013qfcO69917q6+sDbf369U6ekkKhSAGxVJ5dLue9H+k4ph1SoXw9bx4sWBC/ztKBA1px3dtv1/4eONC0LpWGaCJTZrGmCEETskzkOtk9lprySwDnQqYSA4Ng7gMHDsiQIUPkhBNOkM2bN0dsowdzf/TRR4Flr732mmEw94EDBwJ97r33XhXMrVC0AtIRqJvsYyYasGs2vmS38PM3Oo/y8sg0f49HW65vk4ostUTlHazKDli5Tk4dK9MlDpJFs89627VrlyxfvlyWL18ugEybNk2WL18ua9eulQMHDsjll18uXq9XPvnkE9mwYUOgBWewXXzxxXLKKafI+++/L//617+kb9++IfIAO3bskG7dusl1110nX3zxhcybN0/atWun5AEUilZCOtKmk3VMp/SZ7Kb7O2ksFRdrmXThx8/Njb6tbiwl2xB1Qt6hosKZ62TF4LN6rGRmImYyzd5Qqq6uFiCiXX/99bJ69WrDdYBUB5nGW7dulZEjR0pubq7k5eXJqFGjogpOFhUVyZQpU2yNUxlKCkXzJh1p07GOaXdMdh/gdo6/dKmmS5RqL5Od5vGI6L+RnTBEja6PU/IOiXiUgpsVL5DyKEWn2RtKzQVlKCkUCiex6xmK9QAHTT9o6VKtr9n+J00yN5zSNSVnp02fHnpN4jV+o10fJ4yOWFOEVpsVL1BLEs1MBspQShHKUFIoFE4Rz9SOHQ9FuOCiWTMyzNI1JWe1jRmT3OsfjwFjZrBFmyK0ehyrXqCWJJrpNK1OcFKhUCiaM/FmKNlJd9+61Vo/PXU8PMMqfGzusKdEcTGUl2vZc6mmT5/Etrdy/a2gZ9VVVZlnrUUTslywwNnsyGSLZrZ2XCJ23h6tk507d9KxY0fq6+tD5AkUCoXCDsuWaQ/TWEyfrqXH63o6Vrezi15ZfvVqWLLEWItHp6xME2XUdX6C9X+++gp++1vnxxeMxwN790JQkQXbJHodrVwv3fiJpZOkax9B6D7Ct7dDMrSrmjtOPL+VoWQBZSgpFAonmDtX8zxYIVhV2efTPBV1dfY8H1ZZuhRuuMFc9TrYQDB68Fo1QB58EP70p/jOY/x4+NnPEjMC7Fx/l8t4jPPna/ekV6/4r5eOkZp2cbGmH5WJXqDmaIg58fxWU28KhUKRIuwIIQZPjXk8mtEEyRGLXLYssRp1VoQsvV64//6m87CKx6N5sl56KTFhRrB+/SdNipzG0hk3Dh5+2JmafqWlsGaNVpPOam26dBFtmrGlowwlhUKhSBF2lLHDY5bM4lBSiVmsVDRDzuXS2syZWr/SUs3oieWJaN8eHn8cXnwRXn450jAxi7GKhlXl9Pvu06Y/jair0zxjVrASW6aXThk5UvvrhIfG6UK8+jShE/egOaIMJYVCoUgRwQaFFcI9E7oHYulSyM93Zkz5+dCpk7W+0TwydgKKu3SJ/fDeswdOPhnuust+8LsZsQw60Ka9AO6803gf8QR9pxKnPT+qRIoylBQKhSKlWPWoBBPsmfB4YNAg+MMfmrw1RuTmWtv3tm2aMRJtPNGysIK9F/n5sGpV7Kkkq1l8iUwJmnlVrBh0NTXRjxuLdNX0M/P81NbCsGFatp1dYl0Lq9OMzZk26R6AQqFQtDaseFSCKSyMDKQdPFh7sIcHA+sZabt3a6/z8+EnP4F//UubKjHDbDzBnpbwbLeVKzWDLfj4ehD6yJHRz8dJwg0voyDp4OD40lLt+tXUaNdkyxbtnuTna+dnR44hPOg7/HqlimieH52RI7Xx6dl2VrB6Lexcs+aGMpQUCoUixdh5qBQXaw/y8Cwr/cG/Zo32wF+yRHs4hxs827drmVrz50PnznDllZoXySputxbAXFpqbICEo8etmKW3+3zw9tvmWWXQlDV2/vnWxti1a9P/ulclfN/h4/J4tOtwzz2R1/Xmm5teu/FRQg2FbGADhdRQgh/NApo0ydhQTEfWmhUvmM8HV1wBlZXWx2fVqE3HNGPKcEj8skWjlLkVCoWT2FHaLi+PreRttUbZ0qXxKWK7XObjiHY8ozIpVpXDy8pEpk611nfpUm3/dmq1xVJILygQKaVS1hG6w3V4pZTKwH7SUUdQJ/jYEydav592Spo09xIpqoRJilCGkkKhcBIrtcA8HpF585w1gOw8TMOP4/HY3y64BIeZYeJE00uKWDVA9SLA0c7357mV4sMlvrCV2jKXvFtury5I3AZVQ4NW5G7MGO3vocrAiZabsVMktzmXSFElTBQKhcIBnE6njoUVXaR586BbN2uBtMuWOT7EiOPEc030KUYr8TOJoE/7WJ3SnDgxeryWS3z8dvdYXEhExpMbwQWcNa/M8kWJOxNtwgRo105LwXvySe1vu3asGDLBMGjbDnamf1t7iRRlKCkUilZNuoT0zB4+xcVaDMnw4c4HyA4YYF3HyQl0AybRLDIzwrPLrMbJvPde9PUl1FBMLWaXyYVYTvWKW4NowgR47LEIY0x8Po5e8hiTZULMY0fDbkxRcxLHdBpVwsQCqoSJQtEyMQv8TaTell2ilYWwWhpEL0FiVhrEqEYZJM/D43JpBuDzz8PmzcmtBbdgQdP5OFXqZQRzmYuFWicVFVHT+/Tx2C51cuCA5kky8VgJ4MNDW/bSiL3id1bLq7QUVAkThUKhiJNMEdKLpsxsVUl6wABtKs/MOBBpSlePV+HbzkNVBPbtgwsu0Lx0ySyYe+edTV4ZjwemTUvcANyAM6lecWsQzZ4d9Y3nAtrgYzSzrY1T3y5N0gXNHWUoKRSKVklzENKzqiRt56Hn82l6QVOmwLXXWt9u3DjrfQG2brXXP16Cp7CqquyP04gaSliPF7/Z5JtFRcm4NYhWrbK0XR/M+02apBnZwViOKTIJ2kt1LF+moHSUFApFq6S5COnpHiAjAUVdr0f3jpnhcmneMb9f88DYjReaNAkeeAAOHmwq8ZEp6N6jX/7SOePMj4exzGQhw/Hjwk2Qi8qiherzwaZN1o4X4Zjq08fSdquI7KdPrd13n9bMpnVNMVHrfG/kTK6YW2oq4tmicSwHrwWj5AEUipaH1VRyO2nUySRaerkdXSa7zettOlYyj5OJbaiBjpIUF8fMh7eTul9QYCAV0NAQVY/BD3IQjxxGQ8iqhNP1TTQc/IckEYZS6ezxUoATz28VzG0BFcytULQ8YgX+Nqeg17lztVggJzEKaHcqWHrYMC1ryo5CeLpw4+O/02s4uZs1t4xZgoAZ+flawHvELvWsNxNWDC7ngv8+GuLhKS4+5GX82QEtzmnVKs07ddttkJUVNXEgVuS5Hxe1eOnN6oAyOWT+58SR57djZlsLRnmUFIqWSXMW0gsmGZ4eM8eJ2TWz03SPmO4h0wUgkyVImUjzerXxzZmj6T3OmWMuGBlLGdysTZpkcmPLyyM9Sx6PtlxMvIwm23w9uDxibF5v0D22+CbqT7XpPc1ElDJ3ilCGkkLRcjGaJrEwu5JRWFH6ttImTrSmHB2vKnS0chdOGGDJaLm55gZU+HskEYNV31eE8bPXWJnbkPJyw537D7UplEfcj8APgooKSwMdQYXhKl0dPdNQhlKKUIaSQtGySWe9LqdwytNjlcZG7bltx0iK5aVLtCxHqlv4+Vi0NQxbcbHI/PmR529kkBliMa6pjUFcU3GxSOPSaksDbY0eJSUPoFAoWj3RtIyaC/HqI4HlbPcQPB6txIpV8vNjp6br6s9Ll2r9mwO61padLDcj1q+HK6+MQ8FbJ07tJZFDMhhEF+3y42IdxVq/4P0eilHy+WzIBjQznQFlKCkUCkULQTc0pk+3vk0iIoQrV1rvu20bfPZZ7GeixwODBsEf/mBvLGYUF0N5eaSmkBPoRsbDD2tx0HfemZxjgAXx0wS1lzZsNhftkkN6UncyIyKQWyRUXDRmCSCzmkG//nXGGk7KUFIoFIoWhF1PT1ERPPQQNDTYe0ZVVcGDD1o/joimx9Stm7U6eqWlMH689f2HU1CgeaZWr4ZHH7VvQNrhwQeTU8tOJ+D1iSZ+moD2EhzScjJxS7q8RXx91UP06LyPscxgJC/Sn2Uc3ll7s4TrV5l6wcwK39XWahcxlcUWbaDkASyg5AEUCkVzwmqNuFGj4I03IoUsb74Z+vY1z4aPVcMsFi5X7Gm4hQvhiivi2z/AxRfDRRcFMuMBe+N246OEGgrZwAYKqaEkxJuSDqKWljtwAH/bdrj8PkM9ccG4Ppxhen+wjsDKlZp7z+Cife/2MsY/k0VE3siI/dq5+A4WW1TyAClCBXMrFIrmRKwsOJdLEzq0EvitBxM3BCVfjR6deCB0ePZbcED9gw+KuN3OBFwHZdOLiHYusbYxEppchzdCcDHVLVrAdGOjyFO55YEMt/BA7phZb0aYCFDqzQeGQpSGY7abEhgtRdIGKustRShDSaFQNDeiaUSBZijZfW4l68Gfimy3YGNp/PjoRpIPl/gijAJjdepUtVg2g26HTKFcDhKa/XYQT4SRpO/T1EiyKArlA1lLsbhpNOwSkA2INyUwwXQ6lfWmUCgUCkPMsuC8Xi1WyG5dNBHnxqazYYN52IrTTJsGBw5ox5s2zbiPGx8zGQtIRACvXu9tBmW48aU8M3LEiOjB9npNwnt4lLbspYzpzGIMZUynLXu5h0cBmDhRm8KrrtamxUxntmJVjT6EG+jJekowDqAK1LGLKGhnkXQXW0QVxVUoFM2QqKUYFAFKS2Hw4MhrNX9+ukem0bUrXH99coywcHw+mDVLy+4zO14JNRRjbhy4EXqynmlDaihbPCAp4zRj3jyYPNn8fR5shzSSxUzKDPsNGqRJYMTEpoFSSGh/PUYpIDlRckh+wG79m3gNLAdRHiWFQtGsMMsuzqAkmYzCSCMq3c8eXbfp2We152aq+Ne/ojtJwh/2Zry3OPVejlhZbyXRZZAATZtK13yKic03yQaa+htKTnjM5QcMiUfcK0koQ0mhUDQbzKZpLIvyKQBrD9VkoR/zxz9OvWdr9+7o64Mf9k70c5poTh4rdsi2bZrekaUfFiUlmsZCDATY6i4IEaL0ek0S1qyqoiYi7pUElDyABZQ8gEKRfmJlF2d6FfNUYTYtGb78hx80JehUPwGKi+Gxx+CaazJOVxA3PtbQiyLqAjFJwfhxUYuX3qyOWypAvxfxUF0de9qsqgrGjo3uObOUfe/zaaJXFoLZpKCAt1/axIbNHmtT4eHyA+GuxeJizUhKUBoAlDxAylBZbwpF+rGaXZypNaeSTWOjVoU+Pz/0eni9WsaXUQ2x8eOjlgdzvE2caL9GXKpbU9ZbaJpfollvegbi/PkiS5dG3qdY29rJlG9sjH2MmPu0m86fyAcvicUWVdabQqFoNViNLc2AJJmUU1Wl/fh/8EFteiWY2lrNg2M0XTl1amq9OoMGaZ4Gi9U24sKd4FNtEaUMZyF1hE4P1eJlOAsNxRWtoE9HXXFFU4kWl8va9KcIDBumOWGs3C+PR2vh7wUdNz7Ol2Wcu34un89aZrxTux+kRD54GV5sMa2G0jvvvMNll11Gjx49cLlcLF68OGS9iPDAAw9QWFhI27ZtueCCC1gZVlxo27ZtXHPNNeTl5dGpUyduuukmdodNRH/22WeUlJSQk5NDcXExjz76aLJPTaFQOIzV2NJ0Byo7hdW6oVVV2kM0E9L9o+HxwDnnaP9brLbBRRfZL47bo4dmAF58sbX+bnz0ZxkjmEt/luHGxyJK6cUaBlDNSCoYQDW9WR23kTR9emQqvlm4TrjhpNsMM2bYS1wws1uGUsUaerGMgczlak6+02Sndj9ILeWDZ4Rj/q04eOWVV+S+++6TqqoqAWTRokUh66dMmSIdO3aUxYsXy6effiqXX3659O7dW/bt2xfoc/HFF8tJJ50k7733ntTU1MhRRx0lI0eODKyvr6+Xbt26yTXXXCNffPGFzJ07V9q2bSvPPPOM5XGqqTeFIv1YUZt2QMg3IzASYNQVsoOxqAmYMU2fnZk3z9p006OPxnechx6ydl1SpcAdEF00wGzKNDfX/LpEVdMW8+lNMzFNw51afXNl+AevRSlzhxtKfr9funfvLo899lhg2Y4dOyQ7O1vmzp0rIiJfffWVAPLhhx8G+rz66qvicrmkrq5ORERmz54tnTt3loaGhkCfu+++W4455hjLY1OGkkKRGURTm4718MgUYoVjmFWNMDpHu2EkibbRo0XGjm0aTzwGQ4yqGClrdhW43TRKf6plBBXSn2pTJWqjFi18Z/58+2OPZpuYqZy7aZR1eCONpGg7tXKzMvyD16INpVWrVgkgy5cvD+l3/vnnyx133CEiIn/605+kU6dOIesPHjwoHo9HqqqqRETkuuuuk8GDB4f0eeuttwSQbdu2GY5l//79Ul9fH2jr169XhpJCkSEYPQiilmLIIGJ5imL9iA9/ls2ZkxqjIvy48ZYceeABkaKi9BtJsYwGH66Qshzxep5CrtshC9k3p0KWT6+WuXMaE65pF26ARbNr+lMd/07NbnYz+OA5YShlrDL3xo0bAejWrVvI8m7dugXWbdy4ka5du4asb9OmDfn5+SF9evfuHbEPfV3nzp0jjj158mQmTZrkzIkoFApHMVObzrD4zwh0DSiR0OW6BtTChVo8TrS0bpEm4cEBA2DLlsTGpEsqTJsGt9xiHOdkJGkTfg/++U/4y19iH+/Xv05svE5hVYG7hBry2cZChkOYXEARdSxkuGmAd8h1W9KUs+8GTgYK8DKfmfgPbZvFPqZSzlGs5Fv6Mp7HOEDbqOcRHIfk88H42w9wh8ymD6tYRR+e4jYayQKsi2lGBDcF3+y6Ou1N16WLFlzVHD54DpCxhlI6uffeexk3blzg9c6dOykuLk7jiBQKRTB6kkxzwefTnpPhRhJoy1wuKCvTSlRYQX+WdekS/5iCH+SlpTB0KDz8sCZaGJwt5fUaS9qE3wMrhlKmYNVo6EEdj3APmNR+8+NiBmUsYXCErlLguqFZyCJCcJx2sKF1HX9hCEuC1r/OaJ5iMYMZTiUl1FDIBjZQSA0lgWMVdvXBMs1a/eEPS1j5/QLa4A/s5XHuYirjuIdHrYtkGgVlN7cPnMNkrKHUvXt3ADZt2kRh0I3btGkTJ598cqDP5s2bQ7ZrbGxk27Ztge27d+/Opk2bQvror/U+4WRnZ5Odne3IeSgUCkWs+qK6p8iqh0j/SowlcKwzcCB8802opl+4AeTxwAMPwH33RffWGQlaZnLCk8sVaaBaNRq6ssWS5+l2ZrGJbiGGzNSpUDrYB73GRhhJ+rZ+XPyVa2jHfsP9D2EJu8gNWb8eL3cynbPyvqL/lU1WbTfCfV7gwccEHgPg/5jMerx4qcNlIKYZWZxNEcCxicAEAeNg7scffzywrL6+3jCY+6OPPgr0ee211wyDuQ8cOBDoc++996pgboVCkTIqKqyFh8yZYy+zz07Wm9erZVcloulnFmO1YEFmZd/p12n+/Mhx5eeLPHR/o9S6vBGiknrTY5Suxn4Q2Dq8Ukqldp+WVlvaxh9lefg6X5T+ZvtoBBnEazKMBeKnmWdD2KTZB3Pv2rVLli9fLsuXLxdApk2bJsuXL5e1a9eKiCYP0KlTJ1myZIl89tlnMnjwYEN5gFNOOUXef/99+de//iV9+/YNkQfYsWOHdOvWTa677jr54osvZN68edKuXTslD6BQKFKGHVVxu5l95eXWjYdEnoWxsvGsjiMVRlLweZql3/88N7YCt+UAaJPtv5xo0UK22ewYSsGtzuOVxrsMZNqbQVB2vDR7Q6m6ulqAiHb99deLiOZVuv/++6Vbt26SnZ0tgwYNkhUrVoTsY+vWrTJy5EjJzc2VvLw8GTVqlOzatSukz6effirnnXeeZGdnS1FRkUyZMsXWOJWhpFAoEmHBguilQqxklRk9y+zqKLlcWv+lS+15lqxm482bl1gWlxMt/DpFM/CGUim17tATW0txIJutKTvO2PNkZrDoHqml/7c0vRfDbLzz5iWtZEim4cTzWxXFtYAqiqtQtE7MCszawSzbLRiXK7JAqZVjL1umxR8lgterBXBHqz9q9ThLl2qFds1KZyST/HyYPz+0AoaVQsrFPXxU3VlDw5oNfC+FXPVUSUhg9lCqDmW9YVgoNxqfPL6Uk2fcgNTVaaZWGH7SVB7D44F587Q3ZgvHiee3qvWmUCgUBlRVaQ/ZgQPh6qvtlY/QiZbtpuPxwEsvmWeVRSt/FRycHS+6PEG087JaxmvZstQbSXq9tD/8oamWnI6VIPp1dR52nTqAM2eM5NPOAyKy18xqv1nhR903w8yZuIDwcG49N02fSkkpPp9WdM7Om7kVowwlhUKhCEP3AhkVko1lVAQT60EN2jMr3jT/RHWUoMmIKyszryeXyVltbjfcdZexR8yqgTd1qmYE//a3xuvDa799O3q6tbEVFTYVdfOGGlp+PLgB16GWlqmdaDddEUAZSgqFosVjtcCs3jea5hFYf75YfVDHW3g9ER2lYESahCyNKCnRpujMKt27XFBcnB6pHZ8PHn/c2Hi1auD9/e+xDVo/Ht5xDeDfxSPpPe128HojvEQ6wqELcijVvopSjvBrhtY0yhC0YrxpJ9pNVwRQhpJCoWjR2J1Cs6p5ZOX5YvVBHa/HxqqOklXMDDaPR4tjgkhjKVi4csAAzaBKB0bG6znnJC4c7cZHf5Yxkrn0l2XMmOrDk6VdEJcLJOyCiMulXZNDUuZVVTBsGKz/3kMNJVzBwkOGUihOeJXimsaL10pvRShDSaFQtFjimUJz0gtk1RMTr8afvn+niGaw6TNI4caZ19sUiK4bVGbnmyzMjNf//CexmaWhVLGGXixjIBVcTTUDKR3XS3vjHLogrrAL4srPh4cegsGD8fnglps1Q2sEc7mdWRRTa/rgjXnZRo/WItbDbnpDbj4PMInFXA7YNJYyeV41U3AsB68Fo+QBFIrmh90Cszp2NI+sYKaLpLcFCxI7z1gF3i++WOTxx7VitNGELK3KBhyq7Rq1X7xFcxNtFRWh47Aq9GnUhqLrLBl3aKyYJ9XVInPnNMp3N0wSf+dQoSa/1yurryyPKKabUBszxvQm6Ne8isHWdJbMPgAtDCUPkCKUPIBC0fywmtJeXR0aW6OnlNfVGccp6ZUeVq+2Pq1T1VQTNQIr6fnx7N/tBn9T2S/y87WMNKOSHgC5ubB7t/1x6TIG4fVSzzlH8+jU1cG778JTT8V/flYJv5fxyie48bGGXhRF8f4IWi21dzk7UDQ3uK+fJg+RYw62gQPhrbdMV+v3YvPafZy7uJzCVTW4P/8ssqPu8gvXpGiBOPL8dsxsa8Eoj5JC0fyw6k0I90KI2FfHtsL8+eY/7J2oHqE7GcrKop9vQUHoazOBSCvjiuY58nqbtk3Es5OIc0T3KkbzuBk1q4rcfpB6ck29TtFKk9hZHtLKy+29Mayql7ZQnHh+qxglhULRIkkkkNpKPI4dfD4YN854ne7dSTRT2+PRYpb++tfYfZcu1Y4HoV6n8HGJmI/LLP5Lp7a2KQ4smWEwwcHk4R6+4CB0OxRiPcA5j922Y46MlkvYX1OmTYMDB6wMTaO0FNas0dxtFRXa39WrM8qTZCcrNS04aLi1WJRHSaFofsTyJlgJ0bASj2MFp+OezFhqsWLGa6/ZiyEKH5ed0inFxSINDfF5dqzuP5pzxKzWm96MSsvEU+Mt0baWYvmUftb6T58e9X3g1Ps2FZgVWnbK4eXE87tNug01hUKhSAa6N2H48Mi4nGheiPB9OKENlGw9JZ1ly6z1++tfY+sGBROuAG5FSFNn/XotVsnsXsRLWRkMHhy9rIxR7FZ+vrbdoEGax/CHH7SyK9A0rhpKWI83aoySE5QxnU10YwOF1FDCDMr4EV/E3nDVKtNVRufsRBycEYmW+DEr76NnpWZKCJWaelMoFC2WRKfQnJoSSLaekl2Cg7atEK4Abteg27Ch6V7k59vb1ozKytAHc/i9WrjQeGpw+3Z4/nlo21YzgvUHcvB7xI+H3xTMtByEbTJ7aTqN5sfFOoqZxe3MYyRvo5VOWUUfawfs1cvwjRmvonw87/NES/w4KeyadJxxbrVs1NSbQtG8iWcqwskpgYYG4yme8Cmghgb7+w7G6tTb44/bmxmaMyf0OFanEvWmT93ZmbKzOgPV2Gh8r8KvdxsaZCzT5QnGyFimS++ihpD3gdF75PP750UNsPaDNOIWH4iP0HlF36H14YHemuSAS4ZSGbHLNjTIQTzRg7rdbpEePSLemI0LKuOSw4jnfW4mSWEnMSFV09FOPL+VoWQBZSgpFK0LJx4EwaTqodDYGJnVFt4KCppihuwYJMEGhJ1ssuCHs10Dy0qLdb4gMoVyOUio5XQQj6y9KnoGWWOjyNO5d4mfyIw0fdkUymUolRF6SVvIlwquili+lmIppVJyc83HanS8qM3lEr+J8RXtPRbP+zxefbJwEslKtYMylFKEMpQUitaDFa9Hfr7mvbEaJJuqh4KI9nCLdgz94RdLqFJv4Z4Z3dtgdftgQc1kywTYMTwCy6Kk21dWaoaYmaE1hfLAIjeNMpFJ8gOhUePrKJKJTJIRVEh/quUIb2Pg+kUbs88dduE9HjG1rkD8uGQtxeKm0dJ7LN2CrMqj1MJQhpJC0Xqw4/WwOhWXqoeCjpXpFD0bLMqz1/QBqnsbrChwBx83GR6laC3WVJZfN0AM5jzDDcHwqbs2NAho1++GG8yVvMOn2ubPt3ifGho0V96YMdrf116zdNL9qbb0Hov3PemU0e9EVqoVlKGUIpShpFC0Hux4PaxOxc2fHz1GKRnVJKLFZRk9oO2k7gePVz/OHXfEvkYLFsSO1XKyjWW6pY4rR083nFoEzVPUn+qAR8jIY+OmUdbhNRWe9AV5e8Lvs+X4OYtvzBFUWLpnEyfGZ/A4afQnQ9g1HGUopQhlKCkUrQe7Xo9YRo6VKSqnHgpWiBaXAiI//an1c9djl5Yu1WrJRTu/goLk6ChFa08wxlLHJxgTeFlUpHmIQAxjj9bhjYgFsqq7pHt7rBgREQbUUnvHMHuP2a3DZ6ah5XIZG5F2jf5kC4crQylFKENJoWg9xJuZZfTws7IvjyfxwrjJPrdUNI9HMwrMSqrE06x6lMYyPWKx1ak0EBmBPW9PrGkpI+OhZ1Gj7Ckwn6vyRYlRctMoz99QLe+XVcgAE69YeItm8FRWipSaGJGlVNo2cpIpkKkMpRShDCWFonVRXm7/oWz08Et1bFIsUh0jZLdVV8d37c2alRilg3gC8UbBhoXVqTRw1qMUzeNXSqX4iZyriiY5YNUrFn6sqF7OSm0cRkaknxS6Ry2gar0pFAqFw/h8mvCeXYzEIlOlyG2VVB0nXjZsgEcfhfLyJvX0RDjn/CymohXZk7B1+uupjKORrJB1JdRQHEWV243Qk/WUUAM0KXn7o0hUNuKhC1voXXSAkv/OgNtv16Th9bptBw7gmzqD+p/fzh0ygzaE1nMTgUWuUn5VsBAJe7PV0oPhLGQRoQqqQ6liIcMpIlSBsog6FjKcoRirQ0YVZD2kFOlCIq6PG9HuW8YoRTqEg4Zbi0V5lBStlUytGZXMcTkZo6Q8Svba0qXaOOfPT3wKzuttShSzkt4f3OxOpemeG6OpOr3p4pP+MGFK8XhEjj02wktkNr4plIs/TDqgEY88EiZVMJCl8gP5lr1ieps4McbnKdPe1DFQU28pQhlKitZIsotVZuq4nMx6czIF2gnj0I5QpFPNzrGWLo2tAxVr/8H3JFiA0yy936hNZJKlg4cHTg9jgTQ6dOGCBS31xbE0oR4xEb+0cw4x7ZtUioI5gDKUUoQylBStDaeVqc2w+/BPxbjseF2sZOeYpUDrraws9rk7aRzGGo/TrbhYO0crfefMsRdsXlYWO2PKruGle4aiKWP70JS3y3hcRjInkPFVwzmOXrzgGCor8VZaORVzr5ZR071ilo125VFSGKEMJUVrwqkSBbGw+/BP1biseF3sKnNbqUWmn3u48Th/vvPGoZXxJNL+7/9CjV+rz9bp0+0d56qrrBnbRuebnx+5v1hB3LpBYrR8Dzn2yo7YaGOZbjmDz+4Y+lNt772UKqVIh1CGUopQhpKiNZGKH4zxeIZS+UM2GUJ4+gPdzLuiHyu8dlkyhCorKyN1j9q3d+7ZHk17J9p5zJlj/1hRKpAYXv+KCk2R3Mjotpq9ZmagJMtQeoIxljWhrLZwEUxb7+lUKEU6hMp6UygUjpPsTK1DSTOIRK7TlxklzaQyg6y0VMv6KSoKXR41GygGHg+UlGjbG6Gf+9atocujJQ+JwPr1UFOj9Vu2TMvYW7bMfLuqKhg+HOrqQpfv2aP9dSf4VPB6mzIH9XF4PDBzprY+PJtNfz1jRuT1tsLUqVriWKzz93hgwADIzoaHHoLa2sh9FRL/m8d1qCWDVfRha8c+ju1PXC5cwNqyGbxZ7WH1apvv6WR8QDIZBw23FovyKClaE8n23MS7/3SERjidXZesrDOjWB2jaUw7gpN67NTll1vrb+YRCx5HLBXmeIPNr7/emfNPxKOUjOYH8bk9Uv1agzTubXBuftQp6etYH5AMSJtVU28pQhlKitZEskMQ4k2aaWahEYbYyahzqt1xh/aM0mus2nmW6tdy8ODY/cMNpOD7EjwbE+vZaTf4OlYLtgdiGapNMUoprrUSrQXPLSaqxllQYC+4LhEyJG1WGUopQhlKitZGMkMQEvEMNaPQCEOS4VGy6mSIxxkRfA/27hUZPVrkwgu1v7t2NRk8Vmq92TFiJ1nLzrdlG1RUWCsE26SHlBpjyTSuye02DsAqL7d/M1P9AUlV2qwF0mYobdy4Ua699lopLCwUj8cjbrc7pLU0lKGkaI0kq1hlop6hZBfRTJRoHhMndYxSkd5vVQrHiWnR4OtmtbJ9spqRFtFBPJbS7u0EdO9v11nqXD1Clu0iV74beIPmAjSjoUFk6lSR3Fxrx0rlByRV6akWceL53SaeuKYbbriBdevWcf/991NYWIjLCa15hUKRUZSWwuDBWqDwhg1aiY6SEi0oNhH0wN7hw7VAXpGmdcGBvWbHSda44sXnaxrLypXwhz+EBgp7vdr5lpY2nfuwYfaP4/GEBigXFcGZZ0JlZeLnYEbXrtb6JRpoX1WlBfgbBVgnCzc+SqihkA1soJAaSvCjvYkWUcoSBoesP5wfmM+VCOJY0PYf9l7NeB5jKuUcxUq+pS938RgHlrVl4d+jxERnZcGPfwy7d8c+yA03wB//mLoPSE1N9Bsp0pSBMGBAasaUKPFYV7m5ubJ8+fK4rbPmhvIoKRTOk+meISsYnYPRD+jw2QarAozB27/0khZjNGaMyKhR0ae6nGpTp2op+9Ona3/N4nGdmE5Nt8coVqFYsK7Y7Se6XIC+7nHKDEurPEJ5bKeLnYC3VH6oMky5O21Tb8cdd5x8/PHHcR+0uaEMJYUiOWRAUkzc2HnAh8822IlV8nq1sBQ7itXJbPn5WgxRQ0NkjJKV6dTgex4rtilaKygQOeus+IwkI/VqPS4pmrFktQZcuEFktGwbeVHXT6E8eganXQn5VH24Mky524nnt0tExK4X6vXXX2fq1Kk888wz9OrVy2EfV+axc+dOOnbsSH19PXl5eekejkKhiEHwdFgypuZ8PujVy/5UUXW1Ntugb19Xpz01opGfD9u2xTnQJOJ2g9/f9Lp9+yYtpmD06VRdP8ruFFv4FNnH7UoYdqWHiy+GESNsjhkfa+hFEbUYyUX5cVGLl96sDkzDBdOfZSxjoOXjbaILXdkSMlUnxNZbEsCHh8q/7GX41VnG72W7b0L9zZdsYr25XS5tPnr16pRMBzry/I7HuurUqZNkZWWJ2+2W3Nxc6dy5c0hzisbGRpk4caL06tVLcnJy5Mgjj5Rf//rX4vf7A338fr/cf//90r17d8nJyZFBgwbJN998E7KfrVu3ytVXXy0dOnSQjh07yo033ii7du2yPA7lUVIoUoMTHqZUZCXHm70WPNuQ6ppr6Wr6dGo8U2zRpsjiyeKzqpMUXihWb1ZKnAS3WYyWLPbKLEbLKo6wrd796kXTo7+XKyut7y+VRWozKD01bVNvzz//fNTmFA8//LAUFBTI3//+d1m9erUsWLBAcnNzZebMmYE+U6ZMkY4dO8rixYvl008/lcsvv1x69+4t+/btC/S5+OKL5aSTTpL33ntPampq5KijjpKRI0daHocylBSK5OOEgZOqrOR49ZCCa5/NmSNyww0inTun35hJZluwIHoilJtG6U+1jKAiUFwWEpsiM2tWp870QrFGbRjzxUd0g0c3iHLYJSAxC9qatScYE/W9XFkpcr/FuKmUF6nNkCDEFq+jdOmll8qNN94Ysqy0tFSuueYaEdG8Sd27d5fHHnsssH7Hjh2SnZ0tc+fOFRGRr776SgD58MMPA31effVVcblcUldXZ2kcylBSKJKLEwaOnazkRD1Xdj1K+rEXLMicWKNUtfx8kccfN15n5jEaxvyonpvgOmV2xpKoR8lovFb2Y7WgbXgby3RDQ9Ll0t5HXq/u5SoyvVb+dCqxZkAQYloNpcbGRlm4cKH85je/kd/85jdSVVUljQ5fhIcffliOOOIIWbFihYiIfPLJJ9K1a1eZM2eOiIisWrVKgIgMvPPPP1/uuOMOERH505/+JJ06dQpZf/DgQfF4PFJVVWVpHMpQUiiSh1OyK1aNF6OCqHY9V3b0kHRjr7y85U+z2WnRPUb2DBGrLZbydjQDbCiVtqfOVnKkgNguaKsf50oqLGXnmYlk+nCJn2agxJpEUmYobd26NeT1ypUrpW/fvtKuXTs55ZRT5JRTTpF27drJMcccI99++23cgwnH5/PJ3XffLS6XS9q0aSMul0t+97vfBdb/+9//FkC+//77kO2uuOIKufLKK0VEM7aOPvroiH136dJFZs+ebXjc/fv3S319faCtX78+4QutUCiMcSpJJpHyIPFMzVmNMSouFpk/v/V5kqK1WLE+Vg2laFNkZi2aUWE2peemUbZQYHvqzA/yHqfH7VHyGVwLs3EaebvWUizvlLVeI0nEGUPJUp3oJ598kl//+teB13fccQd9+vRh/fr1fPzxx3z88cesW7eO3r17c8cdd8QXVW7A/PnzefHFF6moqODjjz/mhRde4PHHH+eFF15w7BhGTJ48mY4dOwZacXFxUo+nULRmEhUr1CksjH8MItrfsrLIqvNmRCugPmkSVFRoiUarV0OXLqkVU8x0Sqih2CTzDDBdHs4G7N/0RZQynIXUEXrjavEynIUsIlLlsT/LOJytcQlNnsGHrOBIfLiQOLYPvxbuQ3uZQRlumt6siyilF2sYQDUjqWAA1fRmNb7BZqqVCstYsaZ++OEHueSSS+Smm24SEZF27drJZ599FtHvk08+kfbt28dttYXj9XrlySefDFn2m9/8Ro455hgRSd7Um/IoKRSpwymPklPlQezGvFoJw3CiGG540Vm3OznenlQ0q0HVTscohVy/Q7E/I5kjY5kuVzMnJJg8uE3CuZoqdr1S0Vq0qcfmUCQ6FaTMo1RQUMArr7zCkUceCUB2dja7du2K6Ld7926ysrIcM+L27t2L2x06RI/Hg/+QeEfv3r3p3r07b775ZmD9zp07ef/99zn77LMBOPvss9mxYwf//e9/A33eeust/H4/Z555puFxs7OzycvLC2kKhSI5lJRoXhizSkguFxQXa/2ioZcH0bcJ34dVrHq4go87YACMHKn9NZKGScTbBZqna9MmzUOle6rmzdPOy+zcLr4Ypk6N9HgZjT8aLpd2Xvn58YzcGKueIBdEeGEEcCGUMcNQ68iNj/4sYwRz6c+yEK9LMH485LONR7iHGdzJi1zLMgayhl4MpcreCTlM+DmbUYjxm9VKKSCFDeKxrq677jo54YQT5L333hO/3y9+v1/effdd6devn1x//fVxW23hXH/99VJUVBSQB6iqqpLDDz9cJkyYEOgzZcoU6dSpkyxZskQ+++wzGTx4sKE8wCmnnCLvv/++/Otf/5K+ffsqeQCFIoOwK7sSzYtjlpVstSL99OnO/wqPFbAeq5l5uYzONVxfSPdEGV1bq8efPl1k3jzHHCEy6ueNsjvfqwUaG3Tw4ZLNFBim4fvRPE1GsURWSpPonqSplAX2FX7s8BiggSx17uQPncNecg4d3xWxzup+zDxKpln4GZCFlmrSlvW2fft2ufzyy8XlcklWVlZAfHLIkCGyY8eOuAcTzs6dO2Xs2LHSs2fPgODkfffdJw1BVZV1wclu3bpJdna2DBo0KJAlp7N161YZOXKk5ObmSl5enowaNUoJTioUGYZV2RUrektGzwM7U3NmWXCJPGfiEVy0Mn2ijylW/bjwqbviYns152IJPHbuLPLoo5ocgJX9vVteKX7ToGpkyyFDycyQCp96i5ZF5weZSplMZJKl9H4fyFq8gf3/+sFG2eqyH8wdqxmNx8oxok09mhr6qVBizUDSrqP0zTffyMsvvywvv/yyrFy5MpFdZTTKUFIoUkMsQyRRvSWrmWpG+3NKEDPcYLEzhmjXLZbHyu0WefDB0Gsbr8K4WauutmYQulwiR3gbZc7Rk+QHQi2rtRRbLj6re1TsKGbbMXbuZ1Iga/EXBZUxhSbtthFUSA67pIrLpYE2lo2kaIKbhgLcqVJizUDSbii1FpShpFCkH6f0lowMnlj7c/I509ioTQOGe17CPTa6Ny3ceAwuRqsbPFanFSHS8+ZEALzeJk60Nh6jKbIfyJeJTBI3jbYVtK0KSdptfpAXBlcGro827tAqvgdxx2087SHb9rZrKY6qSl5dLfYqD7fwqO+UFsUdN24cv/nNb2jfvj3jxo2L2nfatGkJxU1lGqoorkKRfpYtg4EW6pFaqf3p88GsWXDnnbH3t3Qp3HBD9PR+rxfWrLEXOBteuPecc+A//wktfrpkSWQRWY8nVMKgoAC2brV+3PCxVlXB8OHaU9MJiorgrLOgstJ4/VCqWMhwQEJS3/2Hku+Hs5Bt5FsqPvtnRnEzf+BK5jOXqxMffBgC1LqK6SVNRXLDi/Qezg8s4Arb0gHBl9vqto/lTOTe/Q/hMwhiD9SanVaF586x8VdsbmE48fxuY7Xj8uXLOXjwYOB/M1x20ksUCkWLIvzhH6h07gBO6S2BNqZu3aztb9my2M+c2lp4+GF44AFr+9THEP5cCn5tZsCE6zzZMZIgcqylpfDSS1rWnlUNqWjU1ZkbSW58zGQs4UaStk7wAzMYSx9WsR4vXmqjGhE38hyX8zIzcU6/LxgXUCzrKaGGtxkAaNly+v86a+lJL9bZ3rdg3UgC6DpiEL7njT9QIjB/RBWeK+O0eu2me7YiLBtK1dXVhv8rFAoFaA/2cO+H16ul7Jc6oHlnNcXe6X5WefBB6NfPmXP1+bRr6ZSXJ5wHH4Tjj4fDD9cMm3ffdcZICiaH3VRwHUeyiu/ow9X8lTP5iGLMrU430JNa7mEKH3EqXmpjGhMFbGUSD/IDBeSzLSDI6CRe1geNMdSjVEMJe/r+GFbaM5TAupHkx8UGj5e2F5bA88Z93Pj40Z8TeNM4/YFoScQzX7djx46IsiYiWnZZS4zjUTFKCkV0UhErGiuexm6ohdX9LbWRGe5UqIfTQdZGLVYWWyLtPU43TOtfyZGWY4MabcT++EEa8Bim+zvRZjFawFx+4PN75wTG4fSxtTImLnn+8sqo92xAvHFaTsQoZbDsQMoEJ8MZMWIE8+bNi1g+f/58RowYkaDpplAoko3Pp00pzZ2r/U3EmxDN+6Evs1MaxAwrgpJmAntG5xu8PyNENMHGAQM0z5gV1q/Xph4TJRWzIFbvRxb7mMUYXuUiZjGGLPZF7f8eZ3AGHxqu68N3lsfnCUQtxcYFZOHDhfXyJ/bwBWKrisI8YkXUccKU66BPHwDH/VmCm3eLr+TGlwdHvWfdTcQno+KEMmVVFfTqpQUQXn219rdXL215SyEe66pz587y1VdfRSz/3//+J/n5+XFbbZmK8igpWhJOy6k4VYIkkfGbCuyZ9A8+3/Jyc++K3q+y0voPdMP0bJukwqNkpVUx2NAzVMVgw/457BJ/FM9KtHWZ3GZxS1T5Ab/ulTnttKSd3xYK5ArmyVimyxOMkbFMlzY0BLrElfkX7YNjhWYgO5A2eQCzWm+fffaZtG3bNu7BZCrKUFK0FJLxvWa1jpkTBoSOVU9/rPMtL7em+VNZKXLVVdbO0wmD0Om0/XiabiQZGUpmxlIVQ9I34CS2/9HHWt/Ro0W2bpWvCs51fAxG9+IgHplCuUCwlpS52vlavLJ86lJnpsic0utIMmkzlAYMGCBjxoyJWH7bbbfJeeedF/dgMhVlKClaAsn6Xku1R8kqVs7XSpyOy2VNJNLp54IdcUyIHGMiMUhZ7LXkGcpib8iqTzjRcePAaYMj2ePwuT3yHsnxLJkZrbqx1KRObqR2rolUOvaDJVM/+GGkLUbpt7/9LX/84x85//zzmTRpEpMmTeL888/nz3/+M7/73e+cmxdUKBSOUVMTPc1dJL4YG6eK2jqNlfO1EqcjYi0FX8RaqIfV+LDSUli4MLKobVidcIqKtHR8u0VzozGVclyYZ2Xp66ZSHrL8O/rYP5gBcqhlitiMnXG4/D7O4KOUjEN/PZ5ptOEAf+NnPM8N7KF9SL9avAxnIYsodS65zUm9jgwnLkPp3HPP5d1336W4uJj58+fzt7/9jaOOOorPPvuMklR/GyoUCksk63stkSDrZJLq7+dJk2JLA9iNey0t1cQhdQNo0iTzLG5dl2nkSO3v8OHGhpaV+3AUK2N3CuuXnw9f3v3XgJGTCJliIIVj5bxcYX+TjQtog49XuZh9tONGnqMDuwHw4aKCq+jNahZR6uwPlnTpcKQDBz1cLRY19aZoCVj1lE+aFN/+7QZZJ5tUB0SbTWnEKlprt06d3e3D47nmz499LrMYbemkZzE6cPz587X9b+59etTYppTeFIdbJp9DtGuuT805+ll0Wq8jSaS0hIkZ+/fv58CBAyHLWlqZD1XCRNES8Pk070VdnfZNZobLpXki4hFOPHAAZs+GVau0bOnbboOsrLiHnBA+n6a+HW3azO0Gv9+Z4xlVgDAS4TQiUH5itbm8Qa9e5vtxuTTP0fPPw+bNoSVR6upgyxbo0kXrU1KijSuaEncW+9hPO23fBuv1t08Oe+lQ0JYbb9SmEvXx6RIBLoNtBFdSRCGbE36clzEQzO+VDw8vz9tL6VUOfxh1+XgI/VLRXcnxfpE4iCPP73isqz179sjo0aOlS5cu4na7I1pLQ3mUFC0Fq2nuBQWa0KKdH4NOyw4kSmNj7CDsDh1iXws9mNvuD2czD1C0Zhb3Go93LJbkwYIF0be3mvVmdo3bskuqGCJ1h58oVQyRHHYZCjY2x5aoV0kXkUzlMWX69OR80DLNlRxG2rLebrvtNjnuuONk4cKF0rZtW/nzn/8sv/nNb8Tr9cqcOXPiHkymogwlRUvCTqV5q4ZOJsqp2JlqNMuO83q19XanzWJl3Jk1s+k7s+PH2/QxGz3jgptdHSWj5naHvaZRfsbCjJ7GSrRFyxY8iEeuYF5Mg9Hpqcv1Q8YkTzi7hStzE89GxcXFUn3op0+HDh1k5cqVIiLyl7/8RS655JK4B5OpKENJ0ZKwqnukP1BjGTqZKqdiR99J/56fM0f74T1njmYgFRWF9g330pj9cI43PsrIo2RH7NJO0+9JY6PILbeY98tir8xitLzKhTKL0RGSAPG2nbRNm6G0i5yk7t9KvNAR3kZpXFrdZFzs3au9+caMEZk+XRp37ZXl06vl32MqZPn0amkcd1fkG9DjERk40NKYxjI98DKdnt5UkzZDqX379rJ27VoRESkqKpL3339fRES+++47ad++fdyDyVSUoaRoSdh9iMcydDJBTsXoB20i44rmIQPNw6Mfx+jYdozR4IfX0jAtwHg9U1abfpz/+7+k2g0RLd1TcM9zbVL3v582cpBQV1qwOCRowe+2aWgIMaakoUFrUUSzdC9WsIp3BglnJ520GUonnniiLFu2TEREBg0aJOPHjxcRkZkzZ0pRUVHcg8lUlKGkaEnEq/psZuikQ5k7GLPYqAUL4kvKseMhMzu2nelNveXmOrMfO62sLHL8bhqlP9UyggrpT7W4aYy6j3CPUz618in9ZDP58in9JJetIf2bRBEjH+hJPdkgo2EQr6XkWKspNiw3ot9fxwyV8nLTMQR7sczexy2ZtBlK06ZNk5kzZ4qIyBtvvCE5OTmSnZ0tbrdbZsyYEfdgMhVlKClaGlZVn4ObmaGTDo+S1ZR7k+dHoCUybTZpUvS4rGgB4FZaOsqXGHl61uGVoVQa9jeLYQp/vZcsyWFXUJkN5wcfy9AKNhpilftwajx+kPc43fT+hnh1Eo3zKS8XnzvUsxTuxTJqaRbOTjppM5TCWbNmjVRWVsqnn37qxO4yDmUoKVoisQJ5rX6hOiGnYucZYXXcVkqPGE1/WPWQtW1r7djprNcWrYXP1ph5eoLLXwSvipYVZ2Y41NM+OSdz2GGW+r3BwJjn62TTr08Ou0zfJ8XFIo0LEk8ZbWwU6dWjwbRorlmrqLD5AWxmZIyh1NJRhpKipdLYqMXF5OdHf+jHMnTMPFRWYiGMDJ/8fM1j40TKfbTmdos89FBoEPf06c7tP1pGXSa1WJ4eraBqcWAaLlYtuFS3zecNsdTvCcaELFpBn5ScQxVDTFcPpVL8Rp4tm4FE8SYQfD4pw3Q9HCalgpNPPPEEv/zlL8nJyeGJJ56I2veOO+6IS9MpU1GCk4qWjhO6cUbiisXFWvkSs23145p9CxUUwLPPatvHEl10Eo/HWh24WEycCMceCy+8AG+8kdi+XC7z62SEGx8l1FDIBjZQSA0l+DGuX9KfZSxjYMx9DqCatxnALMYwhqesDyZJ+IFaipnOWKZzV8z+ZUxnJmVAkygmYCiM6WQJkk85kZP5LGK5Gx9r6IWXWuPjxVIiDWLuXK0sjlVcLvhFfhXPbBuumWnhKyEjBCMTJaWCk7169ZIffvgh8L9Z6927d9xWW6aiPEqK1oATunF2PPhWM7r0H9WpLkmSaS3WNGK4l8JOrNEIrM03jqBCQORjfpT+C4Lm0RpKpbShQQ7iialfpE9F5bArbo9YPNuYeZT6Y/FNbSGQyM7nw+US8dAoewoyUNfDYdTUW4pQhpKitZDKUAU7X+zFxdq0WAY8m9PW8vNFHn9c5I47ovezG2tk54Hdn2oZxoKMmHI7iEeGsSCwaArllvSLQKSKIQkf3w9Sw5lRDa5YMUojLRqoVlJG7WSzFheLvD3J4gewmUd7O/H8drrcjEKhaMaEV6C3Umk+XjZssN53/XqtXllrZts2uOsubbqyvFybkQmmuBheqvAxk7GARNQS0+urzaAMN6HzijWUsB4vfpMJJz8u1lPEPfyO+Vzh6LRULCRiLFobwVwqGR5Yfg+P8ijl+MKmF314eJRy7uHRwLIL+aftMYSPA+Bc3mc7HQ3Hqb/+gNPZT27Eti4XbKDQ2gAKY/fzeGDmzKZ9hx8LoKxMq0m4ejWc39fiB9DOB7WF0sZqx3Hjxlne6bRp0+IajEKhaD1Y+O4PoUsXzThIRYxSJlNXB48/DvPnw+GHa8+xwkKt2O3ns2ooxvwCuRF6sp4SanibAYHlfjyMZSYLGY4/rGitHxcuBC91FFOXzFOzRC3FlDGDRUTGztzDo0zkt4xmNn1YxSr68BS30UhTMdj3OIN27Ld1TCPD0IVmDHWmnrUUcYTBtfmA0zmLDwBoRz3/5FJ6so519OTmbv/g9idKYJzXvFK1HqNUUmJpnKWlWlhReKyg12sQK2j1A2j3g9oCsRzMPXBgaKDfxx9/TGNjI8cccwwA33zzDR6Ph1NPPZW33nrL+ZGmERXMrVA4j93g7OpqzasybFhSh9UscLmgqAiefx42b24ylFZedifHvjoj5vYjqWAeIyOWD6WKmYwNMbaSUeneLgJspYAreYm3GWAalB6LHHazlw6As8HawfiBlfThZD4JeJJWcBR9WRURNO7q0wcefTTxTIowfD6oqQk1oiO8w/oHMJaRZiGQPJNJaTB3MFOnTpXLLrtMtm3bFli2bds2GTx4sDz++ONxzwNmKipGSaFIDlbqmIXHlFZW2gtsbi3tFwWVlmOH+lNtulpX5p5KmfjIHAmAWOO20pyITYrVwmOidAkCs+vY2KePfD6pUnbnJ5hJEe8HMF5dj2ZC2oK5e/ToIV988UXE8s8//1wKCwvjHkymogwlRWslFcHd0Qwfs+/rxkZNo6hz59D+uh6U0fc+tFwDy6ritQ9C9JAS3V+q2wf8yPZmbWgSYayle0rGqWfZ5bHZUrB3O3YEDNTR+RVaoHWqss2cSHfNYNJmKOXm5kq1QST8W2+9Jbm5uXEPJlNRhpKiNWJWxywZ35+64RMufBnt+9psfOXl5t/7wYZfcxGDtNKsZq35QaZSFrOGm+W09TiNiHi9VH6QKgZb3mQK5XIQ84KxyW77LR77Hc4NvEyLM0cpc0fFcoxSMD//+c+pqalh6tSpnHHGGQC8//77lJeXU1JSwgsvvBDfPGCGomKUFK0NMyHIZOvQWYqtiDI+nZdegq5dY+9HP95jj8Errzh7LqnCjY8HeYgH+K2t7dZTyGf8CA/Ct/RlPI9xgLaAllE2FxvqhTYIvmV244T0bXPYGxirGVOYwAQei+s4qWYjXbiTmQFhUHF5WkJ4UEaQthilPXv2yK233hoohOt2uyUrK0tuvfVW2b17d9xWW6aiPEqK1kQsIch069BZEar0eIzruEWjvDyy/pnbnTZnhKVmJCxpxzsT/lr31iTTo6QfK5HYp1ncGrWLJkDpzqj4KqstWBi0mUsYZQRp8yjp7Nmzh1WrVgHQp08f2rdvH++uMhrlUVK0JpYtg4Gxq1lQXa1pLaUaq+MDqKyM7vkK92CdeSY88wysWgW9e8O0aVpSUCYylCoWMhwX4ojHRH8QLGYwI5jLftoByfHGyKG2hXy6sM12Vt0HnMaZh8qPhOPGxw/k05mdiQ4z6ejXPPga61pWw1nIFRWljIxMTlTYwInnd0JZn+3bt+dHP/oRP/rRj1qskaRQtDas6ssF9/P5NANm7lztrxN10qwcNxZlZeZjqarSsqMHDtRqZA0cCEcfDT17wqxZ8OMfJ9dIcuOjP8sYwVz6sww3Pn71K8jPt7atLizplCGj72cISxjDLFwkb8rKhfbw6cY2XMA+sthDtqGooxEn8imd2BixfChV7Ce72RhJRtc4WBi0sGsSP0gKy1gWnAzno48+Yv78+axbt44DBw6ErKuqqkp4YAqFIj3Y1aEzKobr9WoqwcmIY7Kjf7d+veYxCvd8mcU41dVpyxcuhIYG68fRY7fuukszFmNpQxnpFa3Hy9hnZrLDHfuilRBdWDJe9If2hCAV62TjAtpyIGA4WKEtB9lGIbtpRx57AN3DNizj45F0oo1TFwYtogaChEEV6SEuj9K8efM455xz+N///seiRYs4ePAgX375JW+99RYdO3Z0eowKhSKFlJRElscIxuXSymWUlDQZHOGGgW5wJOM3U6zxhRPugfL5NMPOKOhAX1ZWpgWDWyU/XzOuHn0U1qzRpiXHjjXuq0+ZFYUZOkXUsZDhDPZrF033OF3Ni4xlBiN5MeB5KiS5ZSW6sjWp+3eKXPayk/ZBHrbMD9y2w4plG1LipVXEIJ7AphNPPFGefPJJEdGkAlatWiV+v19uvvlmeeCBB+IOmDKitrZWrrnmGsnPz5ecnBzp16+ffPjhh4H1fr9f7r//funevbvk5OTIoEGD5JtvvgnZx9atW+Xqq6+WDh06SMeOHeXGG2+UXbt2WR6DCuZWtCYqKyPT9PUWnLpsJ+jb6exjK0KVegsPiLVajHfpUutFRt1ukQULmo5hdm00faIepvpEPlyylmIZxgLTIO11eGUik5IaUOwn8YDrVDR9jIOZ59j+UrldrBYssJksaY6WTtp0lNq1ayerV68WEZH8/Hz57LPPRETkq6++ku7du8c9mHC2bdsmRxxxhNxwww3y/vvvy3fffSevvfaafPvtt4E+U6ZMkY4dO8rixYvl008/lcsvv1x69+4t+/btC/S5+OKL5aSTTpL33ntPampq5KijjpKRI0daHocylBSthVgGSEFB05e1VYPDSK/IiS/9BQuiZ6WZZedV2CjYbscgg9jXpoKrbBkARut0tey9ZDcLQyYVx2lM53m6nc+uMxIGbUFi2SklbYZSUVFRwDg68cQTpaKiQkRE/vOf/0heXl7cgwnn7rvvlvPOO890vd/vl+7du8tjjz0WWLZjxw7Jzs6WuXPniohmvAEhXqhXX31VXC6X1NXVWRqHMpQUzQXdczNnjsj06dpfqx6cxsbYytX5+U37smpwGDUnvvSter7CsWrg6Z6osjLr51VcLNLQIDJxYuS6KZRbfqBmugGkj7E5jDPRtueQQZrKc/VBQCIguKVbmqM5kjZDaeTIkTJ16lQREfn1r38tXbp0kV/84hdyxBFHyJAhQ+IeTDjHHXeclJWVyfDhw6VLly5y8skny7PPPhtYv2rVKgFk+fLlIdudf/75cscdd4iIyJ/+9Cfp1KlTyPqDBw+Kx+ORqqoqw+Pu379f6uvrA239+vUJX2iFItkYKVXrLZYHp7FR5PHHrX2PL12qbWPV4DBriXzp6yWqzPYd7PkyOtcePaKPLXhcds/TyNjUdH08zd6w0A2GWrpKJzbIEn5mebtMGbuVvpsokBFUBBTMh1Ipe/KLHBtHtNIwB/HIMOZH3Y3SV7JO2gylrVu3BrwxPp9PJk+eLJdddpmMGzdOvv/++7gHE052drZkZ2fLvffeKx9//LE888wzkpOTI88//7yIiPz73/8WIOKYV1xxhVx55ZUiIvLwww/L0UcfHbHvLl26yOzZsw2P++CDDwoQ0ZShpMhUYhkOYO5hiWZgGbWJE7Xt9DgcKzE8Tn7pWxGc9HrNDbDy8thjLi8PPV6iNeLGMt1Sx0yrrWbWxjJdwJ4wZbqNJT/ICvrErGHnD+oLQeKljY3arwQzN2aUc/SBHMAt73C2jOAv4sMlPlwRffwgw1gQ83QOTeIoLOCEoRRX1lt+fj49evQAwO12c8899zB//nx69OjBKaeckkhseQh+v58f//jH/O53v+OUU07hl7/8JTfffDO///3vHTuGEffeey/19fWBtn79+qQeT6FIhGhZXOGE6wqZZa1F47vvtH14PJoEADSlx8eDHV0k0NL9Y423tlbrF86ECVq5kljXau5c7Rx1fSg7UgFG9GFVYjvIMPTzqaGE9XgDIomJYOHtm9C+a+nBcazgI07FFeV4+pn0ZRXtqGfePLjiCrQ3vMcD27aZHsfoKvgPqSVdxQLO5z/M4zqGs5A6ikL61VLMMCqpZHjM87EjkaFIHFuGUkNDA/feey+nnXYa55xzDosXLwbgueeeo0+fPsycOZM777zTscEVFhZy/PHHhyw77rjjWLduHQDdu3cHYNOmTSF9Nm3aFFjXvXt3Nm/eHLK+sbGRbdu2BfqEk52dTV5eXkhTKDIVK4YDaMbB+vWamKJuBFg1sIKpqNCEGquqNJ2khQuhKPQ731Z9qsJCe4KVdgQxg/f7+uua0rYVamvhmmu087zgAti929p2Zqyij6V+z3O9Y4ZHMtHPx4+HsWjWcqy3kX5GAjQa9E/mGbuAYr5nAG9xGX+PeTxdCPKzwksZHmy32LXqgVq8DGchi2jSx1pEKb1YwwCqGUkFA6imN6tD+hiOK0iaQ5FC7LifJkyYIB07dpRhw4ZJYWGhtGnTRm6++WY58cQTZe7cudLocITZyJEjI4K5y8rK5OyzzxaRpmDuxx9/PLC+vr7eMJj7o48+CvR57bXXVDC3osUQT1C116tlo8U7kxEeLB2c/n/DDdb3U1ysZa/ZyYpLJNsuXS1WjJIfLTalDQ0ylMpDUzMZMHCDcfpB8qkNWbWaYtv7qeIS+ZR+spl82UtWSsb/AtfZ6r+3S3Fcb76xTA+JcXJi+CrrLT5SHqPUu3dvWbJkiYiIfP755+JyuWTUqFHi9/vjHkA0PvjgA2nTpo08/PDDsnLlSnnxxRelXbt2MmfOnECfKVOmSKdOnWTJkiXy2WefyeDBgw3lAU455RR5//335V//+pf07dtXyQMoWgzxBFUnGlek7yM8GNtuOr1ZvFC0h8JLL8XebyYWs9Wz3oyK0fpBplAeWJxIsdtUtAO4QxZtxjxux6jp5zyeKdKGBqliiO1t4xl3pY3jCMjW488N1f46FCDnN/kA6TpYThlHwa24OH1GktM6aKkk5YbSYYcdJrW1tYHXOTk5AZmAZPG3v/1N+vXrJ9nZ2XLssceGZL2JNAlOduvWTbKzs2XQoEGyYsWKkD5bt26VkSNHSm5uruTl5cmoUaOU4KSixWAluDmZTQ/GtjuOBx+0LlipY9cQy7Q2hXI5iCdk4UE8IUaS3nLYJVUMkU85XmrpJhvpnDEp+X6QOroFFn1Kv7j3dRCPTGVszHNL5Nx1A6aMqZbPzw/Sjh2BxQEvZ2Wl+A2DsbVlRmn90ZrHEzuDc+nS9BknRskezUn8MuWGktvtls2bNwde5+bmynfffRf3wZsLylBSZDpWst6S1fQMHDueLa9X+/K30lf/BRsj4ajZtDY0yFimyxOMkbFMlzY0RPSpYnDUabp0n4RuSJTzG3mCMXI3v4nbkNG3q6NbzH3EMx0ZbMBYkWkIz3rTW7CX852ySI/fWoptG0kuV5NXNfzzmwlTbWbfK5kwNqs48fx2iYhYjWdyu91ccsklZGdnA/C3v/2N//f//h/t27cP6dfSiuLu3LmTjh07Ul9frwK7FRmLUXFaq7hc2ldgPFRXa0Vn586Fq6+2tk1lpZZJZqV/WZkWMB7PeTVHqhjCEJYAxgHHwbcpk0K+hfjHI4APD9/Qh+P5xsFRwTqKKWNGIFB6ChOYwGOA+fVdSR+O4duIdS6XVmfwuefgwgt8lFBDIRvYQCE1lODHehbDYW4fr99fw4BjNvDOykKue7aEdXVN2xcXw4wZySksbQWfT0tmMPvc6ddi9Wp7yRupxonndxs7na+//vqQ19dee21cB1UoFM5TWgqDB2tZcHV18O678NRTsbebNAn+8Af7hoj+Raln4FhNWZ40SRvrm29a6z9jhr1xNWey2BfVSNKXx2nTZiwuoA0+PuJMS4ZSLKPMD2wjnyuZz9sMCDFg7uFRAMYzjTaEplfuK+jB4Vu/Yi8djY8rWuYoQA+vh3fqBsT1A2MoVcz0j6V4kvahOx9Y4/Xy5aSZfN63lMJC7XOVTgMkVjatfi1qarQfSi0ax/xbLRg19aZojsQShAwvWmtnasvI9W5FgDJYCNLq1FtLbW4apT/VIdlRsxid/oE52OxOx/1AJ8v7tdIvuKhseNOnQP/cfow0Pj5dZMcO+fqC0fIqF8osRksWe0231esAmk2ZRbvfUykzVufOsPksOzURM5m0KXO3NpShpGiuRPsyD/9OthNjZJaBY+d4c+ak/TmetmaU1baeItvZYy2txY5R0oKyX+anlvY3ggpLh9587mDDsVQx2LC/nsBgFOhcXKwlKsS634Ytg4q52a2JmKkoQylFKENJ0Zwx+jLPz9d0hoK/j63+gpw4Mfr3uNnDI9ywmj497c/ltDQznaRMCNJOVqunfaBER7z70L0wQ6m0XDolmkdJb2aB87rRFm4shdsxRqnzS5eGepB82AxEzwDrw45HOpNx4vltK0ZJoVA0P/TYpYcf1kqObNumtQcf1F6PHQv33Wc9xmjQIPPYCZ8P8vNhyhTYsgW6dNFUu43iLVavTuy8miNufMzkdlxIRIxNJgVmO82nnMx/OIcJPBZ30LcLeJ/TWUQpbnysx0sRdbgNIrb8uKjFSw0lZLGPqZRzFCv5lr6M5zEO0BYIjQkzOp4AQ1hCFvsC24wYEfpe9nhCY3R8Ptg4u4o1jKWYODMQghTAfT4tDmjDBlIau6SXKBo+PDLZQy9ZNGNGZgdyO4aDhluLRXmUFM2dWPIBBQVNCtnx/oKsrBQpCiuwXlRkPkXnhLMiXZII8ba3OTfhnWSKlpKdsep6RI8yPqGxf8KJgZdNnjlzPSMjb1Gwl8hqTNgsRgdexvoM/KLAAWX1Qx6ldGkYBXvJjBTu0yl+aRc19ZYilKGkaM7YEYKMV9MlluEzf3584ykoaDp+Bjz342pZ7JVZjJaNHO6IgZOpRpKZ4niwHpHVKTOzVhskcgnGsT+6npFuJJmNq4rB8ioXWjruVxwdontlNDNWWSnioVHW4Y3bSPLT9GskXRpGRsZZUZFmMCllboUpylBSNGfsBmnPn2/vF2RjY5NBY9bcbs1jZXc85eXGX9x2W6zxhTcropBWWjThyHhbczOUdO+Nm0aZxMSE9m8UM2SUPZjF3qiet6Z9XWp7HAfxyJc/K4/4DHi9iRmCftBKo1RWxvwxkaz4oJYgMBmOMpRShDKUFM0Zu0VzR48W2bvXem0nO2n+lZX2xhMsX1BdLVJWZv8ZNHCgPUXvaGVGjB7KZvsx82hkYks0yDqWQfIeP5YG2jgyTj9ETd0HkY842dHxGy4rbzKWdON/BHFUqA6+B/PmhewvVnMy5jtdxlmyceL57U5fdJRCoUgFVoO0dZ56Cjp0gFdegZEjmwJVly3T1LeXLYMDB5peP/+89X2XlUHXrtb764J2Ho8WxLpwofVtdaqrteB1K+iqzZ4wIUIPPibwGNvpxDIGMperWcZA1tCLoURWIrAiHJlJJDJGV5Tt9XVn8jFZNCZwlND9TaXctM8UJvBjPrG933DEZF3g9bRp2gcBWHIoHnwDNj9s4fs9FMQdFMsdFav9rGBHYLK1obLeFIpmjJWMmJISTUHbjvK2zwePaVUeOOusyNIoHo/Wxy7r18Mnn2iZcVaNlzff1M7h4YeTW8akDQcYzzTA+OEoQAd2hywvoo6FDGc4CwMlMkB7kKfDQPKBjSIazZejWGmYzebHE7iHVolm5EXdxueD2bOp6lkWUI8/nC004olQ/LbMqlWA9R83dn8ERSMdxlmzwUEPV4tFTb0pMhE7GTHxFs11u5M642O52Y0xiqeNZXpcG+oiiMHTcFaDhJ1uzWGaz4m2hc6GU2Kf0M+R/VsNxvbdNibwGTTTx7LVpk8XkfRoGLUUgclw1NSbQtFKqarS9E3CPSx1ddry8LrUpaXatFVBgb3j+P2JjdMptm5N/jH6sCqu7dwIPVlPCU1zEl3Y7NSwFAYcznbD5T/iC0f2b/XB+NHiWs6vfZGBvMlM7gDEdFs51EzxeOC22wJe4uHDNdPEFebaSpaGke55Dj9e8HGLi5tqO7YmlKGkUDQzfD5tKkwMvnX1ZWVlkVNjpaWwaZNWlDY/P+nDbDbcf7/29yrmJrSfQrQ5iancwY/5JO7CtTEfqFFoDvFQVol1DYymR1N9/md8v5gXuZa3uIBi6qI+UPWxhZ9X4PW4cVT9PYtevWDgQHhiho/+LGMkc+nPMtyHpvO8Xu1HT2kpjqILTELqjLNmg4MerhaLmnpTZBJOuMgbG0VuvTXtMyhpb/r0xaaOfRLOUPuWrnIwwX3orblkyyWrbSe3RZ7/y1xqmFHZeFd5yPS4kT7UtlyvfD6pMulZZ1ZLEDUXVAkThcIi6SoDkChG404k6DJ4f717OzvW5siMGeDZXU/X+lVxl9bQ6ePgdFtL8gzZQQ797c1KtlGY8D3JNN7kAkqpYjSz6cMqVtGHp7iNf16cxdgbNLNkKFUsZDiE+Z467q6j00PDcfVLgjspCL3kUXP8vkwWylBStHiqqiKztrxezc2cxO+bhDEad36+9iVmhfCMGKP9tWaGDz90/8+7FMjMB/I+sshBS0HPxPE5iW4WfMDp/JlbU3a+qTTGttCFRrKYSVnI8t//XvtcarUAx4JBrJMbQcSlzasPHpxUyyW8fl1rR8UoKVo0doOeMwWzcW/bBs89Zx5wCcZBl2b7a8388pfaX//adekdSBRWcjSL0SxjidE32aTq+MfxFZeZFKp1AjnU/sYl3M8kavEark8GdRQZLtf1wUqooZha0wezC2m9YkZpRBlKihZLvEHP6SbauHXM1hkFXVrZX2vkk080wcwNbXqmeygR6A/rc3mbUhYHjKV0EhyM3IjzxoQejJ3HHtok0Szz4eFRyrmcV/gtD9CLNQygmmt5nkUMoZ4OgLPn5wfWUUwNoSljLleoY0hPCIhJqxQzSh9q6k3RYrGjNJtJbuZY4w7G7Q5N4fd6NSMpeErRzv5STbzClU4wYYL2tx3/YDedgMyY3tIf0Bvoxm609MRSFtOOej7jZPqwJm1j0/EA28mjMzsz4prFYl+Hw5nvG87yvcfwFLfRSFZgnR8PY5nBEJaEnEu4oaS/jna+Rn38h16VMQN/kByoy6V9BwW//y0rezupNKmIifIoKVoszVVp1s54/H6YOhUqKrRSHatXR8ZdxXN+BQVw7rn2t7NLJnjz9tKRlfRJ9zBC2EA3itgYeD2FCdRTELeR5Mf8wW8X3QjozM4495B6/rrrMm7Y+zQzKQsxkgCqGBIoNxOOAPV0YBFDGMmLCC7MpMX0a7yVULGyWrwRyu2g/agpKwvdRw0lrMcbMK4iaGZiRj5faOmjTPi8x4MylBQtlnSUAXACu+PZvr2pJptRfGe85/fvf8e3XXOiHfW8w3nksN/QmEgF+jRbA4fxGf3IY2uEkWRUf84uI5nDy1wSOJ4T9d2agzcJ4CzeNVwerSaf/jqPXYyggpe4muEspC4spkmnlmKGU0k3NjGAakZSwQCq6c3qCCNp+nTtR83Pfha6D827NfPQ/6EjkmYmZlRVRUAT6uqrtb+9emVuXGhUHJQraLEoHaXmSTrKADhBrCre4W3iRGv7i6eESUtuK+iTUq2eg7hlP20MS29UMdhwszY0yEE8CY3TD1JHF3HTKKspTv+FT0PbTH7EYjeNUsUQS9vPYnTIdv2plpHMkbFMl6uZI/2pDilhE6tVVGifzaVLjdcb6SjVeorl33dVSnW1tn11deZ9d+mYlUxyubSWSk0mJ57fODieFosylJov+gc2/EObjg+sHSorrT8Hli61tj+j69Bam24kJdtQ0o9xKZWBB2kWe2UWo+VVLpRZjJYs9pruIt76c0ZjSKgGWTNvn9IvZJGRIRKtvcqFjg5JF4OtqDDvoxtkI6gwNcTMajumk1g/9FL9A1UZSilCGUrNm+aqNLtgQeyitAUFxl84jY0S8cvT6Dq0xtaOHSlXvq5iSFybPsGY9F+wZtz0+5zL1sDieIrXBnuUEm3BRsKkSYntKxN/8GVacV1VFFehsEBpKaxZowU7Rwt6zjSGD4d586L3efbZyHAFs9gA0K7D0qWtt9ZbLtvYSaeUx9ccGWfB3TUm8TAK6wRnD0YTdDRCDrXxPGb5eJddFn39iBHaZ7aqCh580PJuDRHR/maSzElzTaKJhjKUFK0CXWk2WtBzJnLFFVBZqWXIBOP1asvDjb1YAptLlsCgQfCHP2gJNNGEK1sadXRnJwWk49Z/F2dWXR9WOzyS1sVOcgOB8S5XbEHHYA7ZICxmMAdoa/mY//hH9PXz5sGBA5q2mROIJK5B6WR2WnNNoomGMpQUigzHyCO2apXmFQr+YrMjsFlaqqkBFxkLBbc46uhOIZtSflzdI3E1f43Z141WLX5EULX4PnyX9DFmIvp1C1+2hmLW08M0RT+4byMeDmcrAKNGae91y4KOh1jMYEpZHLHc5TL3yvpjDG79epg923lts3g9NE5np5WUaD/kzH6ENTOFA0AZSgpFs+Odd6BPn8gvtocfti6wCU0G2PTpqRh1atHT/tfQk3c4I2AkpdKBpj/oP+B09pMbte9QqlhDL5YxkLlczTIGspmuFJO55VWSiT41+hn9+JQTWcQQ2rGL3qxjLLMgip6Rft1f4RLO5T+48fHcc9r7/+IbrLkxFjGEHPYaGklg/GPEDm+/ndj2RsTjoUlGiSePR6ujCZHGUjNTOGjCwZipFosK5lakEytB2Hay2fTUZJ1omTeZ0nLYJVUMkU84UaoYIjnsMu2bqrT/WAHhfpD3OC3mruIJLs7UZnRNfLjivh9PMMb0mpllrYUfax1eGUqluFwiHhplT4G5Vobf5ZJaT7GtVP90t3izyJKdnZYpSTQqmFuhaOFYLWYrYn2fwb88fT54/fX4xpYq3uMM9tKBoSzmJD5nKIvZSwfe44yIvis4ir5xBk7bJVZAuAu4OygI2GhqzW5wcSajvwXDPT21eHmASXHtc5VJbNciSgM12q7hLzzJaF7hYkPR0CJqqWQYpbIQv0sTdBQBCb97LhcI3O4LLTWSLqx4XBLx0Ngp8RQPzTWJxhAHDbcWi/IoKdKBXeFJu788Kys1eYF0/yKO1t7jdEMvhb7sPU4PLE5V2r8f5AfyLfW9mr8IGHtA1uGViSSYH55BLfy6/0C+TGSSuGkUN42yDq/4sOb69IMcxCNtaLB0+Kb9m3dqxCUP8KC4aTT2SBUXyztllem+jIGU//nzQyU+5s931kNj1ZMc7oFubjjx/FZFcRWKDCWRYrZ6wc3g19D0y1P3VAX3yTRy2M0ZfAgYl5cQ4Aw+JIfd7CeXLXRLegySXlbifc7gp/wzZv+zeZ99tGchwyHM11FEHZN4MBnDTAvh174z25nEQ3xJPxZRylhmspDh+HHhDroWEratvmYq4yLqsoHmmSuhhkI2sIFCaigJZLNFw4MwiUnczpP8kmfpxZqQ/Zw8uITGg+n3JBkVttYpLdW+FzZs0DzDJSXGniSfL3a/lpidljQcNNxaLMqjpEgH8cYO3XBD9F+eTnuqktUWcYmljou4RFbQOyVxSWsplqFUyixus9T/SW6N6uloCXFJ0ZoPl6ylKebHyJMTft8O4pEplEfsLodd8h9OlwbahKxYh1emUmZ5TLrXcTgvpfvyRLSJExNXrDaKDQooeAcp0TYurZaeRY3ichmrgGdqiSe7tDpl7smTJwsgY8eODSzbt2+f3HbbbZKfny/t27eX0tJS2bhxY8h2a9eulZ/+9KfStm1b6dKli9x1111y8OBBy8dVhpIiHVhVuA1vc+Y0fR/OmSMyfbr2t7papKFBe53uB4KVtpfDLHU8QHKn297ntIgyElZLi8xidPovZAa0/lQHXoY/lLPYK2OZLk8wRsYy3XC6TZ+CNdp3vMHifpC1FEo7dqT78gRaomrV0WqslVKpBbIHrdhT4JVHKDecFi6lMqMUv+OlVRlKH3zwgfTq1Ut+9KMfhRhKt9xyixQXF8ubb74pH330kZx11llyzjnnBNY3NjZKv3795IILLpDly5fLK6+8Iocffrjce++9lo+tDCVFOEYlQhLpZ0RDg4jHE/+XrdEvy3j2l662z6KhlGxPklH5iljFavUYm2v4S/ovZAa0EVTEvfl7nBYz9syHK+7iwX6QFfRJ6yVywnsTzVNsllnpw7gOoGZ8ZlhtlDhpNYbSrl27pG/fvvLGG29I//79A4bSjh075LDDDpMFCxYE+v7vf/8TQN59910REXnllVfE7XaHeJmefvppycvLk4aGBkvHV4aSIpioru04+pkRj0dJ/7I1+2WZ6S2PzfItvaSedtKY5sHoD2ezorVTKI8aaD6FculPHDexBbZgj5LV1oYGeYGRtoyfeA2lVBhLet3GZBXoNvu+iBXobnrNWsjcW6sxlH7+859LWVmZiEiIofTmm28KINu3bw/p37NnT5k2bZqIiNx///1y0kknhaz/7rvvBJCPP/7Y0vGVoaTQiebaDv6ys9ovnGAP1MSJ9r6I9f02lxik8LaVjiktVBut6Q/PKgZH7TqFcjlIqJsuOMamjm4Zc07paOExSlbbFMqlkRgVoQ3aD3RK6H6nYhouPyxhMp7MNSNPtVlMY8LGehKq1ybiabdLqzCU5s6dK/369ZN9+/aJSKih9OKLL0pWVlbENqeffrpMmDBBRERuvvlmufDCC0PW79mzRwB55ZVXDI+5f/9+qa+vD7T169cnfKEVzR8rBojXq02ZxSPkZkVY0qx5PCLl5dp+4o1tSkfThSQPHIozyRSjwoqRpLc2NBjG2NTRNaPOKfz8rPZroI28w7m2j6FN9bhkKPZS7h+jLO7rluj1fodzLXV1ubTP6uOP2z+MyyVy/fVNcYN2jYTKSpGiotB9FhWJTDJRmhhBgoqyDusDJOppt0uLF5xcv349Y8eO5cUXXyQnJydlx508eTIdO3YMtOLi4pQdW5G5WEnXr62FX/3KvpCbVWFJM3w+eOwxrX5bc6nKHSwkedgh+b901uiVQ+1pbjYtX5HDbqoYyif8iCqGksNuGsliJmXcwSxmUkYOu9lBOwrZnPZzMsPqmFxAFo08yCTW441ZYy2YWrwMZyGLsK4wuIjLGM8M29ctWGgykevd00bJmJkzoUcP+8cQgRdegDvugG3b7AlFVlXBsGFaiZFg6urgwQehoCCybMgGEszvd1AfIBklU1KCg4ab4yxatEgA8Xg8gQaIy+USj8cjS5cuFXB+6k15lBRGOF3qQ/+h1tgY+Qsx3ubxiNx/v7PjTEZ7jx9nlLfFylSbUeZVuOhlS51qG0FFzFIr+jVcws9CMgRjNd2ruJ0OafEiBTcrHqXgqTInvLdWPSmNjbEFYnNztb/B0/6xxD5TFaOU7JIpZrT4qbedO3fK559/HtJOO+00ufbaa+Xzzz8PBHMvXLgwsM3XX38tEBnMvWnTpkCfZ555RvLy8mT//v2WxqFilBQizk9p6VP/Zi7zltreP2QkpX0gQc2qkRRNIVw3kjLt3JxoejB2tBprZvpH0Vq0tH+rbR+HyWp6Jnz//SC5bA0s9nq1z2a4xEbwg1x/+CeSOFFQYM04WLrU2v4efDDSIBnmrgxMhQavMMt6cyzCPI7vT6dDolq8oWREcIySiCYP0LNnT3nrrbfko48+krPPPlvOPvvswHpdHuDCCy+UTz75RP75z39Kly5dlDyAwhaNjdoXVXggZjwt+JdTZWVSn28Z197n1IwzJL6jKJDZlstW+ZR+spl8+ZR+kstWyWFXVAPIH9bSfT5ONj/IFgpkIEsDHiJdB+ka/iKzGC1PcJup/lG0ZmZ82hnbVxwjbhqliiGOnO+MIdW2Y4deeinxQy9dGvs4VpM7dNHK4GDpBQs0HaVwI3ctxfII5RH6SsmoXpuukinKUJImwcnOnTtLu3btZOjQobJhw4aQbdasWSOXXHKJtG3bVg4//HAZP368EpxUWCaRIOvwFvxDrblmp8XbpnJHRhoSn3K8gPG0mR9kL1lpH2MmtHV4bQdmm7VYxme0pntArmKO5f1ZPc6/x9h7SpeXO6NNNnFi7GPZMZTMvsd6FoWKfR7hbYxQ7E5WGpryKLVwlKHUenFaj8jp+Ibm0nTNobQPxKB9Qj/TabOW6CWy2sLPO94sNqP2NX3i3ngH7Q3HEGt61Mq+l0+vtvzdUF7u3OW2YihZnXqL5p1KZVq+0bGjTVNmcoySKoqrUJjg88HYsdrHOBEmToTjj48sTpmK7LTw4rjpoA0HGM+09A4iCj1ZTSf2AMbFd1sb+tsl/NzdCH5czKCMJQzGT3wFZKcwgaNZFff4dtLZcPlZfMB7nBEopBzMB5xGDzZSRF1IQV4dPy6+d3vZenwJPl/sTLQDB2Cag2/pAQOs9SkogK1bzfsUFETfl8dj7VjJwOPRMgWHD49dtDvTyGh5AIUinViRA7DCoEEwcqT2BRX8JbByZeL7jkX79sk/hhF5bOFbelNPLlsooA2+jDQ6BOjMnoxN43cCAQPTwHxdtGvhRujJekqoMekRnXiM5vDxFVHHQoYzlMhc8rP4gHbsYhFD+JQTWcQQ2rGLs/iQscwENKMoGP31Hf4ZXHCRh169Yqepz56t/ZBygljGjY7HA88+G73Ps89mpqGhU1qqSZgUFYUu93q15aXWlSRSijKUFAoDfD54883E9+PxwA8/RC6vqoKHHkp8/7HYvTv5xwhnK53YQVf6sIY89tCJNAzCIi3VODIi3ODQX7/MZZQxnVmM4QWutbSvQuJzh45mtm2j2cizBTCDMtxEWiv7yaWURZzMZ5SyiP3kArCIUoazkDpCn9Lhek9WNH1Wxe8Qi8COcVNaCpWVmmERjNerLc9UQyOY0lJYswaqq6GiQvu7enVmj11NvSkUYVRVaVNuTniTfD648srQX0tOTellIlvJozO70j0MBZohtJdsuvM9f+FGhrAkos9iBocIa/ZnGdczJ+a+4xUx7JPAlFswwZ6ttxlgebtFlFLTeTAnbK+hkA1soJAaSkKmEfXP5dix0LEjbN4cOW3ep4/9MXs8oV4or1ebirJrIJSWwuDBmsd7w4bIsTUH0jkFGA8ukZb4de0sO3fupGPHjtTX15OXl5fu4bRafL7kfznoyrFOfipcLu1LcfVq7RzGjYOnnnJu/+mkDQcYzWz68j+u4y90YL9jXhqzWBmFNbRpNVfAW5LLNv5Nfwr5ng304FzeZjf5Idu48bGGXlFjeWrx0pvVccUojWUGM7gz3lOKYCQVzGNkQvtw46MEc8NJJ9iwOXAA2rWzNv2mx9/Mnw+HH958jZvmiiPPb8dCy1swKust/ThdH8go+yPZ6foDBzZVEG8JzaggrJOtNWecOdV8IFvIlxrOMcwGMxLZbFLgDhcnjC/rTdddGskcuZNHpfFQXT8nzk8Xwoy3GQlomskghGswWs16S4IkkcIGSh4gRShDKb2YpejHKx5rZnTZUch2QjulOTc93T+Zhkxjkvff2ppZ2ryZsWQkTmjXSIqm5J1I8+GStRRbLpNiNjajkizRDMLwFHYjHSW3W+Sqq9KTgq+IxInnt5p6s4CaeksfPh/06mUeLxQ8rWXFjW02tWYnjX7iRDjpJC32CKxv11JowwH20Q5PhmayKayjv3Vz2MsB2gLQjnr+yaX0ZC31dOJxylhHH9MpKTOGUsVChgPieNaQAMOotFVwN5imKcZaw7HFmmKsrtamzmpqtALX77+vfQ/07Qu33QZZWXENS5EEnHh+q2BuRUYTK0VfRPuiqqmJHRwYLYjajrEzaJB2rIULnQv6bi604QDzuYo2BtlGiuaHbugu5Sd8wklcyxw6sTPIAK7lBX7BSvpwDN8CkMU+plLO0XzGOXyIG2E7nejHJ+ygO1nsYxrjuZE/4UKSYky/yiVxG0kAJdRQjPkHN1aw+JIlcN11oZ99PYYp3EhKNLYyFbGZihg45t9qwaipt/ThZH2gRJWwjZRj9VinsrK0z6w40trQIGOZLk8wJqJ+V7JjklSL3vxo05HpOK4fZAV9pIrBUcuEHMCdkunSsUxPaBcjsPbFMoIKy/s0CgVINLbS6djM1ohS5la0eAotZiFb6ZeIEraZcqye5jpgAHTuDA8+GP8x0s0UJjCeaSHeose5i6mMA2ACj6VraAo07086HAkuQIC+rKJvjPT+NviTOhYBfHh4itsS2o9VeQM7Mggi2vdEWZmWvr9kifE0v67TFCsLzixMQN8+kwUaWxrKUFJkNCUlmku7ri7yC0OnoEBzT8cqPWDV6AJjzZMZM7QvwGXLIr/cfD44eND6/jONKUwwNIQ8+JjAY4EJFBWT1LIQrN1Tp/pYRf+ouwyWTWUcjSQWBFRDCevxxpRBqKHE1n5FtFCAZctiT/OPGBH5HXPzzVqcU9eu0bcPNsjUNFwKcNDD1WJRU2/pRc96i1WcNpZLOlZRxnA3OmhTanrmipEbvKhIy3DJz0/5jIhjrQ0NchBPwpXXVVPNqWY0zXgQj0yhPLBIlx0YQYX0p9p2BpzTMgjBbeLE1Fyq6upUfQs3X5x4fqsSJoqMx6w+UDixSg/oRRmhaSrNDBGtT2Wl5jXS3ejhgdt1dfDSS7Btm7VzyURilZVQXiRFqtlCATk0BEqrlDGdtuzlHh4FtIy6NfRiGQOZy9UsYyBr6GVY/03HjY/+LGMEc+nPMpYw2FJJk0wmFYW1FYCDhluLRXmUMoPGRpGlS6N7b4wCrsMx8gxFa0uXJleIMt1tG3npH4RqKWvNwUM4iNdMV8ejfxRNWDJRz1R4KyjQvjNScamURyk2yqOkaFV4PFqL5r0RaZILMEMvyjhxorXjvvBCy5UAWMFRdGJnuoeRVvZx2KFyH62D5uAh7MJWw+VufMxkLBhoM5kVy9X1nIrC5ACKqGMhwxnMEt5mAPMYydsMiKs0Szh6bGUsz3W8uFxQXKwdJxX4fFrc1dy52l8rpVtaEspQUjQrrLqaY/XzeDQ9JCv89a/W+jU32lEfM4upNbCPtqymJ9B6jKVMxyzbTNc/MntwBesfaa/tG1aJsnUr/Oc/2jS/JOENZZaBmyyqqjTR34ED4eqrtb+9epmHOLRElKGkaFYkKhcQ/MvI50vur75M53UuxEXz8DAkk3x2ciTrMv5amD1zW5Jx5wfWUWyYbebGx//jTUv7KUT7pWTXsHKKDRs0z3VZmaO7BbTvrFRJA+gSBUaxmdHiQVsaSh5A0ayIJReglzQxcklXVUUqaRcUaPuxU8KkpXAqy9M9hLSi324j40hMlqeLenLJY7fhukwapxOUMSNi+msoVcxkbFQ17WB0j5RuMMXCaj+r6D/UBg/WPD+J4PHAK69onqpUKnPHqmTQmiQKlKGkaFbomWvDh0caN9Fc0mbibXq8U36+9kXUmmhldmEE0QwMXWQxVr9kI8BBXLRlb8j9am7GkRXDU4CRVERkmwXXjItFuP5RIsKS+vfL2LHaVFNBAWzZAg8/bB4nGf5DzYoOXCx8Pq0sysiR8W0fL06Wj2ruqKk3RbPDTC7AzCVt5ZdR27awdGlyXOWZRDvqeYfzWEsPsmjGCpkpQJ+K+4x+zGIMNZybljFkIWThxx00puaGVcHKQjaFLIsWYxSO/9BRgj1SurCk32QEflymU335+Zo8yIwZ0LMn/N//wfjx0Y0kCP2hFk2SxM6UfzpkAJyKB20JKENJ0SzRM9eqq6GiQvv77bfal1t4ZoaVX0b6+oULkz3y9LGCo9hNJ0r4Nz3ZkJZyGKlEgI0UsIifJZTVJri4g1l0Z3VKvXCt0ePXJyy5IFaMUTBG+kd+PIxl5qH/Qy0TI8MqmLZttWklszidcMx+qEX7YTdpkoUTw15VAadwsnxUc0dNvSmaLXqdNdC+zPr0iazmPW0afPaZtf0tW9byZAC68y3fcTzZHGyWnohE2E8bCvmBWYxJ6Ny/ow8rOIqj+D4l1zDZU36ZFn8VzCr6hLy2Gjv0ayYyiYcMDZ5FlDKchRExTrV4KWOGqbBkbW30UiQ6+fla3bYBA8xjdUpLNaOrpqap/NE552iv8/OtT+WlkkTiQVsaylBSNHvM4o9qa+HKK63vZ+1aZ8eVbg7ixhOo0tZ60N8G33IkrzGQ0/g4oX1dzN/JodGRsVkhFfdrI134hFP4CW/gseC7EmAPbangSm7mBcD52m5GxW6txhi9xaCo+keLKGUJgymhhkI2sIFCaiiJqZlk5cfTtm1NGm/RiPXDLpxUywCEE288aIvEQQHMFotS5s5c9PptqVDBbU7tIC7x0zxUmFVLTtPv/wHcspnO8gnHShVDJIddgW4vPb830NfKvtqxQ+ro5uj7St93cB03vblplHV4I+qx6c2HS9ZSnLCatlmzWrOtosL6d5ZeuzLWPouLo9euTBVGlQwyZWxWcOL5rTxKimZNrPijloIbHyXU0IM6urKFLXShjiLDX8Xd+TbgJWht3iRFKAfw0JUN7KSL4foC76FAnCVLou5Hfx+9y3kUU8d6iihkkyPvLx8epjIuUMctGD3GaCHD8eMKiERq66LHGCWCPq00YAD89rex+1uN04mWWKJjZSovlRhNG6ZKoiBTUIaSolnTUjMuctnGv+lPIXV48JPFQXLZG9FvPV7GMjMkzuI7jlcGUitGaMqOy8bHDrqynY4UUUsF13Ekq/iOPlzNX4Fcqn6+mIuWtKU9+2Pu+0d8wRp6MYbZnM+bjGU2YN0g1+2DcqZwBLWsog9PcRuNZJluE2+MUbzo00pTp2p/nYwhsvLDzupUXioJnjZsjShDSdFs8flg06bY/ZoTOexmGwXkcMDSw8dLLZUM4wuO4Si+w81BDkv6KNOHbgQ0dxI9DznUvqAfM7mFG5jLWbxLG/yG/TtTz146BI55Ep+zlw74ftKGFXI0e7FmKEFTjbRt5CNYT53WjaTFDGYqd1vcSiPeGCOA9u1hzx7rx/J6YcQIGDfO+RgilXLfPFGGkqJZYqSy7TTnnw/vvJO8/YfzHmdwBh/aeoDqfU9kRTKGlHKsGBD7OIwazmcAy8hysEZXvMRr9CSyHcBwKgPelIVcyQ66gsE+g8Uzw5e3kUZO4KuQ/cYakxvBDxxuUrg2GosZTCmLbW8H2jTc2wyw3D83F8rL4fjj4YorrPVfvBi2b9eSQKJNj4FmUM2YYa+UiEq5b54oHSVFxnLggPZFdPvt2t8DB7TlCxbAsGHJj03avj25+wct9qg/y1jJkZzBh8k/YIaie0jM8KNlanViM+04wEUsZS9tUzQ65xBgL215jPGHJCTtoxsyMxkTKOb6MWdEFaO0I1QZwz4A7D84ajiXHPbGbSTFQ1YWHHcc3Hmntf7Z2doU2p13RjeSCgo0cdrVq+3XW9NT7s3EJl0uKC5uHSn3zQnlUVJkJBMmaBpIviCHwV13waWXwj/+kZoxfP55cvdvt35VS0Z/btRSRB1F5LCXnXTkOa5hFC+SxzYOZxv/ooTubKY9u2nLwbROxVn1wIRzLXNYRCn38Ts+4UecEIc30AUUs4HVHMER1NKFLbb3YbRPsGYo2eUTTuFAig3bbdvsyYNs3QqzZ8f+AbZ1a/QYIp/PPPBZT7kfNsx4W5FWlHLfjFCGkiLjmDABHnsscrnPBy+/bG0f06drv9zuvDP0i8/jCTW+Uo0epH0Ea0yLnLYmwg2dHtRRRB3r8HIcX3Ee/w5ZX0RmBKXFa6A9x6jAdFkjWfyBW5iBRZeHAcXUsYKj2EIX8rARiBMFfarOyvn5seZdCheSzFRef91aP7MYIqOQAK9XM47sep8UmYNLJNZMrGLnzp107NiR+vp68vLy0j2cFs2BA9CuXeLGzJw5cM01Tb/u6uq0gpYFBdovwu++g1mznBmzFdz42EQXCtjeIoKRWzt2DSVBS2fPYX9IhlcbDrCftrhNq5HF3i/ARxzPaXzluAgkGJ+nHxdbyaeArVGn9QQt/b8te6NmtjU3qqsjs8DMhG/1abaFC7U0+169zL1Wehbd6tXKq+QUTjy/lUdJkVHMnu2Mx+fdd7XMFY9Hc8Hfc0+kZylVDKWK+QynTaus3pVenJiaO4iLGs7mRP6HC/ieIibyAC9jfV5HNyYGs4RKmiKL/XjYQzs6mHgXY41fX3faoYBsJ9E9S+Fj0E26X/EsAM9zvaF3VH+3T2VcszGSXC5wu82/g8zkAKwU3i4rg44dY9edXL9e+3HXmtPxMw0VzK3IKFatit3HCk89pf1ymzDBuKBlqqbfhlLFQoZZKhOhcB4nUvAPZxOD+Ddd2UYXtnESn7ObfNv7cyPM50qGUhVYVkINeeyOGoRtlVR5KoOLzy6ilM7sYC5X4QsbgQ8Pj1JuKCSZqYg0fTeEB1xHkwOwUnh7/XqtJIoVlDxAZqEMJUVG0cfBUIa6Oi3WKV2Ty258PMsvbWUcKTID/S2znY6GqtY9+D7ufc+gLJCtZrXoayyS9f7S37ur6MVIKhhANb1ZHSLy6MfD1cwjh/2UMZ1ZjKGM6bRlb7MykoIpK4OiotBlXq82fWYUa+S0YaPkATKLjDaUJk+ezOmnn06HDh3o2rUrQ4YMYcWK0AyR/fv3M3r0aAoKCsjNzWXYsGFsClMhXLduHZdeeint2rWja9eulJeX09iYuiKXCuv86lfO7SsdBlIbDjCWGcziVpZxPocfiuFQND+205ECdkQsn8IEXuCGuPbpBnqynhJqAOtFX81I1Vs8j53MYyRvM8BU5LGRLGZSxh3MYiZlptNtBQXJHKkzDB4Ma9ZosUgVFdrfaHIAVg2bAQOUPECzxLHKc0ngoosukueee06++OIL+eSTT+SnP/2p9OzZU3bv3h3oc8stt0hxcbG8+eab8tFHH8lZZ50l55xzTmB9Y2Oj9OvXTy644AJZvny5vPLKK3L44YfLvffea3kcqihu6qiuTnst0bjbFMrlIJ70D0Q1280P0ghST3v5ll6Sx2bTe+xEseERVAgEF32Nb8yJjsPq9p/Sz7HLXVAg8uCDIvn5ab/tEc3l0gq+Njba+97Si3ObFbsN3q9eFDe8r76suRSbbS448fzGwfEknc2bNwsgb7/9toiI7NixQw477DBZsGBBoM///vc/AeTdd98VEZFXXnlF3G63bNy4MdDn6aeflry8PGloaLB0XGUopY6KivR/WcbTHmG8Iw8u1VLb/CB7yZJObIjZvQ0NchC3I/e4P9WBl0OpjGuffpBv6B3X+07fpo6CqNvq/XLZmu5blZKWiKFixwCqrNQMq+B+xcXKSEoGTjy/M3rqLZz6+noA8vO1QMr//ve/HDx4kAsuuCDQ59hjj6Vnz568++67ALz77ruceOKJdOvWLdDnoosuYufOnXz55ZeGx2loaGDnzp0hTRE/Pp8WxDh3rvbXLJC6udZuG858ypmqYpFsIOkewCEEeIKx7KB7zL6/51e0sZDGH+3c/LhYRzE1NM2t/INL+JAfWxqvziYO5/f8gqe4gw85yfC4ZuPQly9mMEX8wAa6GCqj66830C2u4PV0EW9Ga3GxeQySFUpLte2txDaVltqb2lOkl2YjD+D3+ykrK+Pcc8+lX79+AGzcuJGsrCw6deoU0rdbt25s3Lgx0CfYSNLX6+uMmDx5MpMmTXL4DFoPwcq0K1fCs89qgdU6RgJsqajdBlqAdbTCmvp6L2sZxmLasYeVHM14HjNUFtZS/69SBlKCCNGNTEETN2xE+9LSU9cTVXlwARPQ1E2DA4/bcIDRzKYPq1hFH+rowY08b2mfr3IRF/MaEBoEqperLWNG4D1XxRCGsMT2+6cbP3ArfwRiXzsjgmuuFbGZOrpTaCDmuYFuFGH8PZlsXC7N12KnP2g/yD77DH7729jbXHstXHyxZtwEK2jHS2mpFt9kpswdjMejJACaDQ56uJLKLbfcIkcccYSsX78+sOzFF1+UrKysiL6nn366TJgwQUREbr75ZrnwwgtD1u/Zs0cAeeWVVwyPtX//fqmvrw+09evXJ+y6ay0YuZSN3NvBrmjdZZ1st/pQKmUdoYNbh1eGUmm6PngKoorBIYvdNMoW8tV0WxxNjwkyu3Y+kD1kyxoKZQ/ZSb3GfpCDeKQNDQLGsWZ2prfGMl2qGBzR3w/yCf0Cx9H72Dk3o/5Gr/0gKzlC3uFcWUOR1NJNXmegzGK0ZLHXcPe5bJVP6SebyZdP6Zf26baCApFJk6z3D566shrrWF2drm9KRapoNTFKo0ePFq/XK999913I8jfffFMA2b59e8jynj17yrRp00RE5P7775eTTjopZP13330ngHz88ceWjq9ilKxhx+DRgxsbGmIbVk60K5hn+JDxHWqPMF58uEyDavVtv+UIqWKIPMktsoI+6XuKtNCmX+fdHCab6Sz78KQs9mss0xMK1tYNrscYF3UfPlzyOGVxxxbZuY7t2JHuWxp383pF9u4V8cTIj3C7RV57LTQA205wtaJl0+INJb/fL6NHj5YePXrIN998E7FeD+ZeuHBhYNnXX38tEBnMvWnTpkCfZ555RvLy8mT//v2WxqEMpdjoX0x2vwynT0/+F+6jhwKtYz1Y4sk8Uq3ltFncKgcPGWbxbO8HeYw7Y+4jlUH/73Buui9rQs3q90N1tfYdVF2tJYRUV4vMn28cXK23oBwgRQvGied3RscojR49moqKCpYsWUKHDh0CMUUdO3akbdu2dOzYkZtuuolx48aRn59PXl4et99+O2effTZnnXUWABdeeCHHH3881113HY8++igbN25k4sSJjB49muzs7HSeXosiljKtGU4pcZsxhQncdSjQOhqtJRBbDv1tDedqlyI20Ib4Jdvf5SxyOBBzH3p8lVUSuWc9WRfHVpmD1e+HJUvguusii9HedZcWs2T03fSrX8FXX8F996m6aooYOGi4OQ5g2J577rlAn3379sltt90mnTt3lnbt2snQoUNlw4YNIftZs2aNXHLJJdK2bVs5/PDDZfz48XLw4EHL41AepdjEm9afiEfJTaP0p1pGUCH9qRY3jSHrtXTu+D0ELbX5UDIGwU2fMnuSW+LePt3nYNZai0fJqOnepPHjo/crKFBp+S0ZJ57fLhGR9JlpzQMnqg+3dJYtg4EDrffXi0t++61WtsSuN2ooVcxkLMU0bbgeL2OZGSivMJYZzOBOeztu5gjgw6UK8FpEv0p/56c0ksXQQ5lgzR39vHLZwV46pnUseiZpD+royha20IU6iiIyTsPxeGDXLjj6aC1r1uxJ5fFEL2IbrchtcL9EpAEUmYsjz2/HzLYWjPIoxSZW8KTRr714s96GUmkYeK0tcwWy2J5gTPp/EiexNYLsBzkIspMcqaWb/IJpsoaitI+tubRM9gYlel4r6JPuYUTNJA3OODVr1dXRhRydHKsK7m6ZtDrBSUVmousmDR+ufeXEwuOB+fObfr2VlsL48daO5cbHTMYCElGo0H3od7RedHQVDlbYzUA8QDaarlAH9lPEJv7AOI6gLsaWrQezt6M/yrqWwEE8HMO3aR3DUKpYyHCKMHYXF1HLQoYzlCrTfdTVmQs59izyMWvYMkYwl/4sCxQajpf167XvMYUiHGUoKRKiqgp69dKm3WbMsLaNzweHHx66j8cft7ZtCTUUU2v6xnUjgaKjT3EbjXha5AOxOZ2TkPrxCrCZAnxh7xQ/LtZTyAEOA1peULt+rbvgcDl7m0T7QdPUR0P/YWPEli3a33Al688nVbGaXoypHMhcrmYZA1lDr6hGlxU2pPeyKTKUjM56U2Q2VVXWvUjh6F9IPp+myA1NsQxF1NGFLfxAZ87iQ0D4lr48xW0UWnwAFLKBRrKYyjgm8Fhc6sWZTCrOxYlrpr81GnEhuDkMn+E+nbo/AmyiC0ewlgO0DVHYPp9l/IgvKE6zEZEs9Gu9nY7spEtax6L/oIlF8A+btxkQsX7LFu07wuMJUrKuqoKHIr94iqhjIcMZzsJAnKLVGCWdwkJr/RStDAenAlssKkYpknh1k4JjD0SaFHSjxTLo7SAeqeAqSwcYyNJARlwFV8lB3OkN1mhmzYfLkfgdP8gB3IFFuvrzFjrJXg6TzeTJdnJtCSmGv/aD7OMwqWKI5LFZZjFaXmWg1NJN1tJDaukmG+jcoooWmyl0b6VjuocmIDICe2mwI6gwXe31BmWlxfji8eGStRSLm8ZAXFN5eewhKAHKlkuL11FSZC7x6ibp2W4lh2qCbtjQFMvgijFB48HHCF5iJ7nksicQkxSMHxdbyecFbgj5RdvYovxJziOEenRq8fIGg7jJYn0zo/0dwENPVrKZ3oHlu8nnJD6P6J/FPqZSzv9v78zDoyqyBf7rbshGFpIQEiBhERkExYCAEJURFVnGYYvogDhPHAQdgrIIMzoPWeRh8gFCEARH+QbG0YgsAZ8LKmBYBpABRnyOOIygIRATgkBCFkjS3fX+6HST7vRNujudznZ+31dfd99bVbeqq/vWuadOnfMLvuVWvsOEjkBKuUAU0VykhECiuEQgpVXKfk9XunOadMaQT9smM9KOY1L5OMCHDONWThFVsZPsDv5R55qku+6CQ4dqzpeDe6qZ6vJnZ1s011u3QmJE9TeeyhqqH2IHk5pqWbYbOBCmToVLl6qWscaIS00Vf0qCBl4U3JosolGqiid+kxxjvCmlVMZuo8oi1mWv2JYYYfqK0CO6Kk+TVh9BjvU1FU1CXaU8ItU8Ftn5pPLED5UJ1G7us8Uz81ZqQamawUq1linqNJ1VJh3Ufu62hejwJG5aQ07l1Wj0nMUdrPwdvcZ0NYOVXh8DUOoZF11N6XHtf11ZA1RdVqvGx/SOazeeb+elVdEOGY2W2HEREfbZK8eIE5oeTT6ESUNBBKWquBOssrobknF3hkd37EP0Vz8TanfsOjpVikFCkbiRLlYISFoTVU2xz6znLhNSZ5OzsyC15RhUCnMVKOVHSZMRkqz9eJQ0lUU7u3MltFQfMcxpUNuaviNvpMhIpd5+2/X8Wm48rMn6sFOTi4DK6auVLt4vqol26xjqRJbbmjay9CbUCdbt/tnZFmPKqCjL1txBgyyq6fR0WLCg5nqsxtntyCGHdiQtHUREhIH33rMYTQ4aBIY8zwxrEzha5Zh/hbvFpoDCuwbbquL1I4azh2EuO/17gaUAPM8KzdAc1qWvuiCFP/AHllU5bsBkO96Kkiaz3AbwD/rzHhPBYWnZHyMj+JyH2GkzVgZYxvM8z4oq9Vi/ox58xwqer3Gsa6KsDNq3dz3/dhIZx9YqjmGtnCeOmaTa9aUm/h01iN6xsdoeKB3X9p1gMwoXBFfxouDWZGlOGqVt27RtJWNjLYEmHc/fUPlPU6tJUhN5W81jkcpycHzo6GCuQwel9i3KqPen+PpKJlBX8VN5hKu3GaOuY1Dl6FQhASqG79X3dPHatWqrXbix9PVUxdJXrN3SV12kmpb+rKFHdjKk3sfS2p7alv+A4dUuWTkuVS1jlsvXdcXBY01p506lDAb3ylhDDU3gHTWDleox3nEacsiVlJGhqvdA6bi2LzR7ZOnNRzR5QalCF31kZpoaXOkGVlMsNXCu8teaOBw9Z1uvcV4XW8XeqDmkKwRXORxAoUpnjDrBreoKwR7Va9nt1UGdprNay1N1tiTmjRTBeZVHuLpOC5VHuIrgvO3cDFa6VEl5fXeilsm63HaKm9S9ZLhU5l4ybMuirl7H2f/P3TRxomflFi50z3O/Y6qyK83ZE50YGwlOEEHJRzRpQcnJDSeLWJXC3Crb9R2fSGuyX9G6WTsab9Zky9DUkvU7a8NZFUS+2s/dKpP2qhR9rbQSVg1LQxWKQFXqb5wyOvntmEGV4KdAqdMuatQau31S5XAjrm6rn8jb1Rp8ayVXjae10t13u18mNtYi4GgpgmpKmooiMTYSXEAEJR/R2AUlzfuJRpA1rZ1jlZ9IPdkRVTndS4bdIVf8KDWFZJ3UTVBrwchZvd4y3vWjpMIf0VC1miSnBsSVU2ty1HmiVTF+qpAAlcFAdZrO6v/oosqxxKXTEoy0vp+6Fn7qU8AqRa/OElNl+dJVjdIxetfq+o7/P1eTOxolZwKOM0VQeLhSkyYp9c47lk0iHRxCFYqiSKgNIij5iMYsKDm7McXGKrVts2ceI02gztJBrcbFfcIayZmDOT1GNY9F6mcialV3c0ze3OFk3Wpf+aAZ1H7udqqJuEpQo9PomKlfQWk8aU6F0Rvb6p2rXUzoVL4bDjqru74nRT//3PUlNC0BR2ubvtWxpCiKBG8igpKPaKyCklVh5GhrZMCoBrv45FpXaQYrq9g+NZUlOFNFMnJDM1IXE/J5otVqpnnVBqkmf0TFBNgtv1qFpIYsKDnTTtV3m38gzmmb0hld6X/g3E+Y0QuaSE80SpGRri2hzZxZvYCjocgWW2yhThBByUc0RkHJ6unf2ZJWFrFqBTPrbdJyNP7OIlY9zGa3HE+6kuprIjxNZwUWw+y6nJAzifNqla74I7Ke/ye3q+/p1KAFJGvKI1y14ay6QrAqQ6+MDaBN1u/S2XdrFZYc/7dniVPrmVSra5oq6vHERqmmJbTqNEhWDdHu3VWX1ionCSUieBsRlHxEYxSUMjK0NTT1qbXRtn3y/rWu0srnfTODCiVPgVLpjKnT6+3nbq9WuZqkevlN1PWY/B83qwkVW9JP0bVBC3fW35B1Gc5x1+lrTK9V3SZwe9ebXay1SriyRFadu5HqUjX+IgXBLcThpKBJbraJVcwAFHqHc3oUZsCIAQPmGmOseQvrVbTa4636z9CJZ3iT1TxLD/7jhZpdv3blyO03caZOrzWcj71a71O86dX6GgI6oBenSeNxAB/90j3H6jjzJD25mR/Zx2C782fo6nHd1wggmRf5gNGutUUHn34KDzzgPAZaTY4b09MtMdqUB196jgt+aK2OcXNyKjmwlVhtQh3gOGcJTYRbLh4gjvOaA6yHCk/LCrOP/Brr0PY27Y0forXurpzlU0b4TEiyYgZaUYARHaXouM1J8Nfaoiq9ZhPLm/wX+7mHnQwhnbFM4i3SGctOhrCfe1jD75lBKi0oq7bebGLwp9zr7W1oVPcbbEjcRCbpjKly/HWmYcSgKfApqgqD1s9BXGcxC8ikM2NJr7ENSsHJk240uhImE8yY4ZmQBPD999WfT0+Hzp3hvvvgsccsr507W44LgrfRKeXpT7n5cPXqVcLCwigoKCA0NLS+m+MS5nffQ//4YzXmW8lMxrHVaYgBT7D+mOp7MlJeaIO1L2agFPCvqFPvkKe+++oKCjhPe15iIf34GgNl3MZJSmlBb04QSQHQOPrSUPHmb8H62wughDIC7c5VDuuic1JmObPJJo4H+YwRfArY/2atD0bj2OpS+JDYWFi1ChJdjzTC3r0W4cVTdDrYutX5NbU0VbqKL0OrnNA88cb8LYKSCzQ0QclR5XzXXXDokIMK+sBel+5Ug8ngAIMYxAFG8QGzSEWhQ+/hIkVjERxcQQE5RNOBXNsxa/y6XTxAi4oFw6bSX6F2OP72jRjQY6qVtnQNSTzLmirHU/hDlfh7Rgy8ymxeYCl6TGTSmQ4aWmUzOs4TSxd+rDH+m6sCSOX70smT8D//40oPta8ZGws//mi/nGYyWTRH5zWe67TKCc0Xr8zfXrKXatI0JGNuZ8aRjrGXrH6SzLGxyqzhj8Ws4aHX2W6bhmz8WpfJCE5PteFsvW8vb+ypJseTjS2VY1CPsMnO+PphNtfaceZOhmqevhFjcXoVFxHuhEJxpSk17Ubz1Gi7puRo1J3hWrfEGFywIcbczQwtlbPJIah7djY8/KiB/wpexQbGVdEQKZ0OFMwktcrT5HYS+ZBf8wZP8yhbCKG4XjUmCiikFae5mXi+rkXsc88wVZi6K27Yt1jfC1Wx/srOEoOJAErQ0YMfbd9XKS24QiS/5GO+5EFCKUQB/hjrqcW1w7oJYTzvsY1HqpwfxzbeZCptuORR/afppnnOiB+rmOn0XDtcsIZ2I59ScO6cRWPkaMBdG6PtmnA06nbFyNudfILgCiIoNSSq2cZhMsGs50z8Uh2gPdm05SIXiSKbDhzkLu7mEO3IIYd2HFSWz+VF19jAE4xhB5Hk2y5zrXV7ckZNJeCv15hBKj8TSRsukUcUXTnDDF7z+MbubXRAKMX04WufX1s09xbcEQzN6FnO87zA0hrztuWy7X06IxnDR+DGteoDx+/iPHHMJFXT1mc7iXzAaP7EEmayishKfbbKFc76az33fIUtkrvk0M6r+Wz5HQQQT4y2dTrX87drV/1nV8sJQq3wooaryeKTpTfNWCMWBybv/0Y7FpqjA0fHz47JWMP5hrgM0hDb1BySq6E+TKAuEaZak+NS1VYfQU+zVJVVBHdtiGPs2KZyDCqN31TxKu9On61l0xnltN+VHU962nRXQqF44njS06WwyikuTqnNm6sPhaK11Gd1pOtuOaH5Ig4nfUSdC0o1+PT/9+i51TpldNfeo64mpIY62Umq3ZhedxIyw4x2kNtsojWr9KNEfcxwdU1jAm9oyQzqa25zagfkjaQVV682QpI1VR8KReeW40ktASQtzbXy8+ZVdUypFQqlplAmnpYTmiciKPmIOhWUrI9IWjdqnU6VY2hU8c9EWGpaaTVJKoBClc4YdYJeqrxCA6Q19lYP0EZQVzHYYt45E6wacvqK25QfJXV+KWfBcb1Vt1YoFHeFJC0BpLbG1e6EQvFGOaH54Y35W9wDuECdugeorcMRoVFh/bM1ZDscRz5lKCP4DIAS/AmocF7ZmPrgCTNZqWksXRusLiasNoUHGFTjFn1vXu+rVoO4Wuz69eLiIDXVuWsA63b97GyLuOKITgcdOsDGjZCX59yDtqcetsUzt+AK3pi/xZi7vpHtGU0aExb/NoWE8BOxlNKCfpyoYhRsnWPyCWIvQ/mAXzGaTwimgGgukksbYviZi7RmAMfQY6SMALYwllv4gWICuEYI/8uvGMUnBFJIAl8S6oVdi9adVxFkNwshSQEmDLzONK/XPZZ0VjHDzsHrOWKZwSqXnD8CREbCJTf2Wpgx2EKh6HSw9W2LgJGa6lr5V1/V9p9kMFicUY4bV9VI2/r52jUYMuTGcUcHljWFQtHC03KC4DZe0281Yepy6S1jQUa9LzFI8m46xO3qcTZqGvt+SX+ndilf0t/rzbmxZHab2s/d6gneVKtJUmuZog4wsFq7ssoBWkGpPMLr/bv1RTKDSmGu16t+mC1Ov293bYYiIz27fmSkZWnKaFRq5UrXy7liHO1sKUyrnWJLJPgSsVHyEXUlKG3bbFT3sVv9TISmDZKJxmej1NzTeNJqzFbZ5iedMSqAwnpprtWY2JWdV83lN3iM3l6v9mE2V7sb1ZVdaCEhnl07IkKpRYsswo6njiFdceBoNFrypaUptXt39deR3WmCrxBByUfUhaBk3LJNZRuq94BtfdJMofpdb5IaVnLV23FDSa7svCrBr1EZYnuSHDVo3kqW3WeuZXb224mIUGrhQqU6dHDvusHBFoHFcZeZJ31IS3Pv/iYetIWGgjfmb28EbRfcJT0d/SPjiDHZByxytPs4Tyzj2MoLLGXrb7aSa4j1XRsFt6PdmYEs4jjAoLpoTp2RyA4CKGENSXzKUNaQxP28zSg+wIQOIzqbbVJTxTrWOxhdJQitu+gxcS97Gc973MceVjHD5bKOnrKffNJiBH3vvRaDaXcoKrLY8RgMnjmGtGuXmw4cxYO20JQQY25fYzJRMnUGASjNYJmqIs3mVbaTSFwcPPxuIrw9muOrD/Dn+dkElVzkEuEksoOx7PBd+5sByuG9K4bLljI6p2FhqiOAItL4Ld34jm6cBky0AIyADj25tCGUEorwox2XbSFUjFg8h1/Hj0DK7EKrVPdaQAvCMFY5bn2vAx7kc5J4vUkbbDtjB6NJrOV/yZmxtjs4esreuBF+/WsoLfWsPVbh6sAB7UCy1WENMjvITdlfPGgLTQkRlHyMae8Bgi5Vf8eyTl4reJ7tJJKaarBsezUYKOw7mLdKLNHDlzPHLnq4UHtUpVcFLkd+V4AZxZs8wWqm8SkP0J//Q0cZcfyEEQinyDa2pYB/Rf3OBBKLqGWmI3kAtHZ6HoLd1PRENNKYat7GjA4dihPEc5B7mEsKAzjGeN6z27Jv3VrfgXMkcARQnKYbrzMNI352dY4lna2Mw31dpEUbed6JNlIpiyZo8mTP+nnxouXVU82NUpbdce5uux80yCJgVec2wBMBTBDqBS8uBTZ41qxZozp16qT8/f3VnXfeqY4cOeJSOW/aKH07z0VXthVp7aMZduXT0pRKYa6mAa5XjSskSWqiKY9I2y4zZ04Zs4hVKcytNmxQ5Z1xN0KGeNYeM7jlBNLV9M47lvuGJ6FGQKmZMz2/14kHbaEhIDZKbvD+++8ze/ZsFixYwD//+U/i4+MZNmwYeXl5Pm2Hu0Eor2/+gPT0G5/bRZbxPCuAqpqI5rZUIgieYAauEcgHjLZpgTo4LJV14Dx/YFmV41YMmPgDy0jhDwAM4gBxnHdZA1kZIwYeYYvLfpTcISbG8mrV8LjL6NGeXzsxEbZutTicrExsrOW4lm8mQWhweFFwa9DceeedKikpyfbZZDKp9u3bq+Tk5BrLelOjlLHbvSdPM6gpkdtsO1fKl62s96dxSZKaQrqP3dX+F12JmViOQbWgVI3HPU2xwhLWxQTqYTbXWTd3775x79m2zb2y3tq+X9ltQOVYb4LgC0Sj5CJlZWUcP36cIZXcw+r1eoYMGcLhw4d92pZBgw28HLkKwCVLBoWOeZdmcmCvxRYp9+CZOmydIDQfnmFdtVqgmjS0OqAFJpJY67amGCw2SePYxjYecbusq1RWmCcmwpYtrtsbeWKb5AyrB+0JEyyvEmZEaGw0C0Hp559/xmQyER0dbXc8Ojqa3NzcKvlLS0u5evWqXfIWBgOMeDORR9jGJSJrzK9H0ZFzmPYeAOBCcFevtUUQmjPj2OaVerpyhgMM4hyxmDXEKzM6sojlfnYzgTQGk0EXfqyT5bbKOO4qGzcO3nuv+jKRkbBtmyyNCYKVZiEouUtycjJhYWG2FBcX59X6ExNh4rZE+na4wGbGuVTG6l+l8LfTMGLwYF+NIAh1wRm6YsbADCyaYkdhyfp5JqvI4AE2MYF9DK7TQLg6nSWYrbNdZY88YhGEHG2WIiNh0SK4cEGEJEGoTLMQlNq0aYPBYODChQt2xy9cuECM1dqxEi+++CIFBQW2dO7cOa+3KTERfjhroOvyJJfydx9seTQc9IAfbwbP9np7BKG5Yb35mTXO1/QworAYYluD524nkXFsJRt762Wr49i61h5Z0VXIadUtnSUmQmYmZGRAWprl9cIFmD9flsYEwZFmISj5+fnRt29f9uzZYztmNpvZs2cPCQkJVfL7+/sTGhpql+oCgwH6zhxESWT1KvuSyDgMgwfZysT8dSnLmSNaJUHwAjqcaYHsXx2x/vdeZbadP6XtJNKZTAaT4bUlNqvgE+mwUh8XB3PnVtUMubqrTGyHBMFFvGhc3qDZtGmT8vf3Vxs3blQnT55UU6dOVa1bt1a5ubk1lq2roLg2tm1T5oq4bva7YnTKjHOHI9u2KTU1fJNt50x97yCSJMmV5CtfX+5cZx6LqvhLOkucW36U6jLFxVn+71q7x2RXmSBo4435W6eUUvUtrPmKNWvWsGzZMnJzc+nduzevvfYaAwYMqLHc1atXCQsLo6CgoM60S6Sno2bMQFcpzoCKjUO3KlXz0dBkgu+WpNNl1QxaXfYsZIIg1AVmnKurFdXvJlNAEUEEUWJnweNYzpV6atq1ZkbHeWLpwo+AxRdSO3I88swdGwsrVsB338HKlZCfX8PFXWDmTIsfo0GDRNsjCJ7ijfm7WQlKnuITQQksks+BA5Z4A+3auX6HrChnPpfND0cuklMWyYWTl8g3hXDr0Q2Emi4TTS7X8CeEIq4SQjAlBFFCAOVVqlNYJrpSwICBC0QSwVWu05JwCm3LDj8RRSBG8oikA7kYgdYU2UJ/OIsjpnz4Sj1cs6G+msBO8MihDf6YyCWGfCJYz5OEU0gB/rzBs/hhcsuBqXWJKpWZ/C+jOchd3M0hYjnHwEoCxp95io8YxX3sRV9p8dgMfEVv7uIQZQTSgjKSWEtXznCGrqzjaRI4QjtyuJnvmcpbTuOp/UwEq5jBUubye/7Mg3zGCD4F7AU361JbZduhsDCLMfOWLXDliiX8R34+lFf6i/j7Q0AAtGoFEREWYaZrV/u/qvVvfO4cHDli+WwwQP/+lnqjouDMGXjrLefx1+LiLPZFYlAtCLVHBCUf4TNByddY7+hnz8KOHVBcDL/4BSxbBoG1i6BeF1ibm51tmcSioixef++6Cw4dcl++dOVaNdVZUz6t89euWexL/vMfy6Q7ahQUFFjsUC5dqvqq1dcBA+DPf7ZMvF27wlNPwfr1lnpzcqBNG4uWIyAAbrkFliyBDRvg1CnIzbXU8YtfWKLU//d/32hP4tAiEtb+lojL36O/Vsy1th2IyDtNywADpVeKMVwvwq9SnMHLwXFsuycVv/GJXLlyo93h4XD06A1hYcAAiyBwV78ysl5Yi/n7M+i7daVjyjQOHfOzCRdKQbdu8PTTls+Ox6c9bcLvyI2HgzwVRVC3DvSaNgiDn8NApadbAqY5aGu/nZLKN90SazW+tUHr9ywaJEHwHiIo+YgmKygJgqfUpQRRFzS29gqC4BW8MX+38HKbBEFoDli3TDUWGlt7BUFoMDQL9wCCIAiCIAieIIKSIAiCIAiCBiIoCYIgCIIgaCCCkiAIgiAIggYiKAmCIAiCIGgggpIgCIIgCIIGIigJgiAIgiBoIIKSIAiCIAiCBiIoCYIgCIIgaCCeuV3AGuXl6tWr9dwSQRAEQRBcxTpv1yZamwhKLlBYWAhAXFxcPbdEEARBEAR3KSwsJCwszKOyEhTXBcxmMz/99BMhISHodLr6bk6T4erVq8TFxXHu3DkJNtxAkDFpeMiYNCxkPBoe1Y2JUorCwkLat2+PXu+ZtZFolFxAr9cTGxtb381osoSGhsoNp4EhY9LwkDFpWMh4NDy0xsRTTZIVMeYWBEEQBEHQQAQlQRAEQRAEDURQEuoNf39/FixYgL+/f303RahAxqThIWPSsJDxaHjU9ZiIMbcgCIIgCIIGolESBEEQBEHQQAQlQRAEQRAEDURQEgRBEARB0EAEJUEQBEEQBA1EUBK8SnJyMv379yckJIS2bdsyZswYTp06ZZfnzJkzjB07lqioKEJDQ3n00Ue5cOGCXZ7OnTuj0+nsUkpKii+70mRYt24dt99+u80ZW0JCAjt37rSdv379OklJSURGRhIcHMzDDz9cZTyysrJ46KGHCAoKom3btsydOxej0ejrrjQZvDEmjv8PnU7Hpk2bfN2VJkFN4/Hmm28yePBgQkND0el05OfnV6nj8uXLTJw4kdDQUFq3bs3kyZMpKiryYS+aFt4YE2/NIyIoCV5l3759JCUl8eWXX7Jr1y7Ky8sZOnQoxcXFABQXFzN06FB0Oh1ffPEFBw8epKysjJEjR2I2m+3qevnll8nJybGlZ599tj661OiJjY0lJSWF48ePc+zYMe6//35Gjx7Nt99+C8CsWbP48MMP2bJlC/v27eOnn34iMTHRVt5kMvHQQw9RVlbGoUOH+Otf/8rGjRuZP39+fXWp0VPbMbGyYcMGu//ImDFjfNyTpkFN41FSUsLw4cP505/+pFnHxIkT+fbbb9m1axcfffQR+/fvZ+rUqb7qQpPDG2MCXppHlCDUIXl5eQpQ+/btU0op9dlnnym9Xq8KCgpsefLz85VOp1O7du2yHevUqZNauXKlr5vbbAgPD1fr169X+fn5qmXLlmrLli22c999950C1OHDh5VSSn3yySdKr9er3NxcW55169ap0NBQVVpa6vO2N1XcGROllALU9u3b66GlzQPreFQmIyNDAerKlSt2x0+ePKkAdfToUduxnTt3Kp1Op7Kzs33R3GaBO2OilPfmEdEoCXVKQUEBABEREQCUlpai0+nsHIMFBASg1+v5+9//blc2JSWFyMhI+vTpw7Jly2SpxwuYTCY2bdpEcXExCQkJHD9+nPLycoYMGWLLc8stt9CxY0cOHz4MwOHDh+nVqxfR0dG2PMOGDePq1au2pzvBczwZEytJSUm0adOGO++8k7/85S8ocYtXaxzHwxUOHz5M69at6devn+3YkCFD0Ov1HDlypK6a2mzwZEyseGMekaC4Qp1hNpuZOXMmd999N7fddhsAAwcOpFWrVvzxj3/klVdeQSnFCy+8gMlkIicnx1b2ueee44477iAiIoJDhw7x4osvkpOTw4oVK+qrO42ab775hoSEBK5fv05wcDDbt2+nZ8+enDhxAj8/P1q3bm2XPzo6mtzcXAByc3PthCTrees5wTNqMyZgWVK4//77CQoK4vPPP2fatGkUFRXx3HPP+bgnTQOt8XCF3Nxc2rZta3esRYsWREREyH+kFtRmTMB784gISkKdkZSUxL/+9S87TVFUVBRbtmzh97//Pa+99hp6vZ4JEyZwxx13oNffUHDOnj3b9v7222/Hz8+Pp59+muTkZAkd4AHdu3fnxIkTFBQUsHXrVp544gn27dtX381q1tR2TF566SXb+z59+lBcXMyyZctEUPIQrfFwZ2IWvEttx8Rb84gsvQl1wvTp0/noo4/IyMggNjbW7tzQoUM5c+YMeXl5/Pzzz/ztb38jOzubm266SbO+AQMGYDQayczMrOOWN038/Py4+eab6du3L8nJycTHx7Nq1SpiYmIoKyursmPkwoULxMTEABATE1Nlx5X1szWP4D61GRNnDBgwgPPnz1NaWlrHLW+aaI2HK8TExJCXl2d3zGg0cvnyZfmP1ILajIkzPJ1HRFASvIpSiunTp7N9+3a++OILunTpopm3TZs2tG7dmi+++IK8vDxGjRqlmffEiRPo9foq6m3BM8xmM6WlpfTt25eWLVuyZ88e27lTp06RlZVlswVISEjgm2++sZsIdu3aRWhoqDxtexF3xsQZJ06cIDw8XDSuXsI6Hq6QkJBAfn4+x48ftx374osvMJvNDBgwoK6a2OxwZ0yc4ek8IktvgldJSkoiLS2NDz74gJCQENv6fFhYGIGBgYBlS3OPHj2Iiori8OHDzJgxg1mzZtG9e3fAYhh55MgR7rvvPkJCQjh8+DCzZs3i8ccfJzw8vN761lh58cUXGTFiBB07dqSwsJC0tDT27t3LZ599RlhYGJMnT2b27NlEREQQGhrKs88+S0JCAgMHDgQsGsCePXvy29/+lqVLl5Kbm8u8efNISkqSSdlDajsmH374IRcuXGDgwIEEBASwa9cuXnnlFebMmVPPPWucVDceYLFBys3N5fTp04DFdiYkJISOHTsSERFBjx49GD58OFOmTOGNN96gvLyc6dOnM378eNq3b1+fXWu01HZMvDqP1HrfnCBUAnCaNmzYYMvzxz/+UUVHR6uWLVuqbt26qVdffVWZzWbb+ePHj6sBAwaosLAwFRAQoHr06KFeeeUVdf369XroUePnd7/7nerUqZPy8/NTUVFR6oEHHlCff/657fy1a9fUtGnTVHh4uAoKClJjx45VOTk5dnVkZmaqESNGqMDAQNWmTRv1/PPPq/Lycl93pclQ2zHZuXOn6t27twoODlatWrVS8fHx6o033lAmk6k+utPoqWk8FixYUON97dKlS2rChAkqODhYhYaGqieffFIVFhbWQ2+aBrUdE2/OIzqlZD+pIAiCIAiCM8RGSRAEQRAEQQMRlARBEARBEDQQQUkQBEEQBEEDEZQEQRAEQRA0EEFJEARBEARBAxGUBEEQBEEQNBBBSRAEQRAEQQMRlARBEARBEDQQQUkQBK+j0+mqTQsXLqzvJnqdzp07k5qaWt/NEATBy0isN0EQvE5OTo7t/fvvv8/8+fM5deqU7VhwcHB9NMttlFKYTCZatPDdrbKsrAw/Pz+fXU8QhOoRjZIgCF4nJibGlsLCwtDpdHbHNm3aRI8ePQgICOCWW25h7dq1trKZmZnodDo2b97MoEGDCAwMpH///vznP//h6NGj9OvXj+DgYEaMGMHFixdt5SZNmsSYMWNYtGgRUVFRhIaG8swzz1BWVmbLYzabSU5OpkuXLgQGBhIfH8/WrVtt5/fu3YtOp2Pnzp307dsXf39//v73v3PmzBlGjx5NdHQ0wcHB9O/fn927d9vKDR48mLNnzzJr1iyb1gxg4cKF9O7d2+67SU1NpXPnzlXavWTJEtq3b28LDv23v/2Nfv36ERISQkxMDI899hh5eXleGR9BEFxHNEqCIPiUd999l/nz57NmzRr69OnDV199xZQpU2jVqhVPPPGELd+CBQtITU2lY8eO/O53v+Oxxx4jJCSEVatWERQUxKOPPsr8+fNZt26drcyePXsICAhg7969ZGZm8uSTTxIZGcmSJUsASE5O5p133uGNN96gW7du7N+/n8cff5yoqCjuvfdeWz0vvPACy5cv56abbiI8PJxz587xq1/9iiVLluDv78/bb7/NyJEjOXXqFB07diQ9PZ34+HimTp3KlClT3P5O9uzZQ2hoKLt27bIdKy8vZ/HixXTv3p28vDxmz57NpEmT+OSTTzz52gVB8BSvhPkVBEHQYMOGDSosLMz2uWvXriotLc0uz+LFi1VCQoJSSqkff/xRAWr9+vW28++9954C1J49e2zHkpOTVffu3W2fn3jiCRUREaGKi4ttx9atW6eCg4OVyWRS169fV0FBQerQoUN21548ebKaMGGCUkqpjIwMBagdO3bU2K9bb71VrV692va5U6dOauXKlXZ5FixYoOLj4+2OrVy5UnXq1Mmu3dHR0aq0tLTa6x09elQBEpFeEHyMaJQEQfAZxcXFnDlzhsmTJ9tpXoxGI2FhYXZ5b7/9dtv76OhoAHr16mV3zHEpKj4+nqCgINvnhIQEioqKOHfuHEVFRZSUlPDggw/alSkrK6NPnz52x/r162f3uaioiIULF/Lxxx+Tk5OD0Wjk2rVrZGVludN9TXr16lXFLun48eMsXLiQr7/+mitXrmA2mwHIysqiZ8+eXrmuIAg1I4KSIAg+o6ioCIC33nqLAQMG2J0zGAx2n1u2bGl7b7X5cTxmFR7cufbHH39Mhw4d7M75+/vbfW7VqpXd5zlz5rBr1y6WL1/OzTffTGBgIOPGjbOzf3KGXq9HKWV3rLy8vEo+x+sVFxczbNgwhg0bxrvvvktUVBRZWVkMGzasxmsKguBdRFASBMFnREdH0759e3744QcmTpzo9fq//vprrl27RmBgIABffvklwcHBxMXFERERgb+/P1lZWXb2SK5w8OBBJk2axNixYwGL0JWZmWmXx8/PD5PJZHcsKiqK3NxclFI2Ye/EiRM1Xu/f//43ly5dIiUlhbi4OACOHTvmVpsFQfAOIigJguBTFi1axHPPPUdYWBjDhw+ntLSUY8eOceXKFWbPnl2rusvKypg8eTLz5s0jMzOTBQsWMH36dPR6PSEhIcyZM4dZs2ZhNpu55557KCgo4ODBg4SGhtoZkjvSrVs30tPTGTlyJDqdjpdeeqmKNqtz587s37+f8ePH4+/vT5s2bRg8eDAXL15k6dKljBs3jk8//ZSdO3cSGhpabT86duyIn58fq1ev5plnnuFf//oXixcvrtV3IwiCZ4h7AEEQfMpTTz3F+vXr2bBhA7169eLee+9l48aNdOnSpdZ1P/DAA3Tr1o1f/vKX/OY3v2HUqFF2zi0XL17MSy+9RHJyMj169GD48OF8/PHHNV57xYoVhIeHc9dddzFy5EiGDRvGHXfcYZfn5ZdfJjMzk65duxIVFQVAjx49WLt2La+//jrx8fH84x//YM6cOTX2Iyoqio0bN7JlyxZ69uxJSkoKy5cvd/8LEQSh1uiU4wK6IAhCI2TSpEnk5+ezY8eO+m6KIAhNCNEoCYIgCIIgaCCCkiAIgiAIggay9CYIgiAIgqCBaJQEQRAEQRA0EEFJEARBEARBAxGUBEEQBEEQNBBBSRAEQRAEQQMRlARBEARBEDQQQUkQBEEQBEEDEZQEQRAEQRA0EEFJEARBEARBAxGUBEEQBEEQNPh/325DNfwU5dcAAAAASUVORK5CYII=",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.ensemble import GradientBoostingRegressor\n",
        "from sklearn.metrics import mean_squared_error, r2_score\n",
        "\n",
        "X = df[['Temperatura', 'Hora']]\n",
        "y = df['Radiacion']\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
        "gb_regressor = GradientBoostingRegressor(n_estimators=100, learning_rate=0.2, random_state=42, max_depth=5)\n",
        "gb_regressor.fit(X_train, y_train)\n",
        "y_pred = gb_regressor.predict(X_test)\n",
        "mse = mean_squared_error(y_test, y_pred)\n",
        "r2 = r2_score(y_test, y_pred)\n",
        "\n",
        "print(\"Error cuadrático medio (MSE): {:.2f}\".format(mse))\n",
        "print(\"Coeficiente de determinación (R2): {:.2f}\".format(r2))\n",
        "plt.scatter(X_test['Temperatura'], y_test, color='blue')\n",
        "plt.scatter(X_test['Temperatura'], y_pred, color='red')\n",
        "plt.xlabel('Temperatura')\n",
        "plt.ylabel('Radiación')\n",
        "plt.title('GradientBoostingRegressor')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 509
        },
        "id": "ME4IWS6eYbfX",
        "outputId": "262ccc8d-d81f-4e6c-e139-d2bc2979f0d4"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Error cuadrático medio (MSE) del modelo conjunto: 13072.84\n",
            "Coeficiente de determinación (R2) del modelo conjunto: 0.76\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "rf_regressor = RandomForestRegressor(n_estimators=100, random_state=42)\n",
        "gb_regressor = GradientBoostingRegressor(n_estimators=100, learning_rate=0.2, random_state=42)\n",
        "rf_regressor.fit(X_train, y_train)\n",
        "gb_regressor.fit(X_train, y_train)\n",
        "\n",
        "y_pred_rf = rf_regressor.predict(X_test)\n",
        "y_pred_gb = gb_regressor.predict(X_test)\n",
        "\n",
        "y_pred_ensemble = (y_pred_rf + y_pred_gb) / 2\n",
        "\n",
        "mse = mean_squared_error(y_test, y_pred_ensemble)\n",
        "r2 = r2_score(y_test, y_pred_ensemble)\n",
        "\n",
        "print(\"Error cuadrático medio (MSE) del modelo conjunto: {:.2f}\".format(mse))\n",
        "print(\"Coeficiente de determinación (R2) del modelo conjunto: {:.2f}\".format(r2))\n",
        "\n",
        "\n",
        "\n",
        "plt.scatter(X_test['Temperatura'], y_test, color='blue')\n",
        "plt.scatter(X_test['Temperatura'], y_pred_ensemble, color='red')\n",
        "plt.xlabel('Temperatura')\n",
        "plt.ylabel('Radiación')\n",
        "plt.title('RandomForest y GradientBoostingRegressor')\n",
        "plt.show()\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nlBqjl4DVPl8",
        "outputId": "8c31bb1f-20a8-499c-de40-7195d82058fb"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([201.,  -1.,  -1., ...,  -1., 984.,  -2.])"
            ]
          },
          "execution_count": 21,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "y_test"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.12.1"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}