{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collecting numpy==1.23.5\n", " Using cached numpy-1.23.5-cp310-cp310-win_amd64.whl.metadata (2.3 kB)\n", "Collecting scikit-learn==1.6.1\n", " Using cached scikit_learn-1.6.1-cp310-cp310-win_amd64.whl.metadata (15 kB)\n", "Requirement already satisfied: joblib in c:\\users\\nausad ali\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (1.5.3)\n", "Requirement already satisfied: scipy>=1.6.0 in c:\\users\\nausad ali\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from scikit-learn==1.6.1) (1.15.3)\n", "Requirement already satisfied: threadpoolctl>=3.1.0 in c:\\users\\nausad ali\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from scikit-learn==1.6.1) (3.6.0)\n", "Downloading numpy-1.23.5-cp310-cp310-win_amd64.whl (14.6 MB)\n", " ---------------------------------------- 0.0/14.6 MB ? eta 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ALI\\AppData\\Local\\Programs\\Python\\Python310\\Lib\\site-packages\\~klearn'.\n", " You can safely remove it manually.\n", "ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "tensorflow 2.20.0 requires numpy>=1.26.0, but you have numpy 1.23.5 which is incompatible.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ " ---------------- ----------------------- 6.0/14.6 MB 186.1 kB/s eta 0:00:47\n", " ---------------- ----------------------- 6.0/14.6 MB 186.1 kB/s eta 0:00:47\n", " ----------------- ---------------------- 6.3/14.6 MB 190.2 kB/s eta 0:00:44\n", " ----------------- ---------------------- 6.3/14.6 MB 190.2 kB/s eta 0:00:44\n", " ----------------- ---------------------- 6.3/14.6 MB 190.2 kB/s eta 0:00:44\n", " ----------------- ---------------------- 6.6/14.6 MB 194.1 kB/s eta 0:00:42\n", " ----------------- ---------------------- 6.6/14.6 MB 194.1 kB/s eta 0:00:42\n", " ------------------ --------------------- 6.8/14.6 MB 202.0 kB/s eta 0:00:39\n", " ------------------ --------------------- 6.8/14.6 MB 202.0 kB/s eta 0:00:39\n", " ------------------- 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[scikit-learn]\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " Uninstalling scikit-learn-1.7.2:\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " Successfully uninstalled scikit-learn-1.7.2\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " -------------------- ------------------- 1/2 [scikit-learn]\n", " -------------------- 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{ "id": "x2gFvJdJjitG" }, "outputs": [], "source": [ "df = pd.read_csv('Fraud.csv')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 443 }, "id": "sYs8BKAekaK8", "outputId": "c051da1e-7ec6-4847-dc1d-c77f68f6220d" }, "outputs": [ { "data": { "text/html": [ "
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01PAYMENT9839.64C1231006815170136.00160296.36M19797871550.000.0000
11PAYMENT1864.28C166654429521249.0019384.72M20442822250.000.0000
21TRANSFER181.00C1305486145181.000.00C5532640650.000.0010
31CASH_OUT181.00C840083671181.000.00C3899701021182.000.0010
41PAYMENT11668.14C204853772041554.0029885.86M12307017030.000.0000
....................................
6362615743CASH_OUT339682.13C786484425339682.130.00C7769192900.00339682.1310
6362616743TRANSFER6311409.28C15290082456311409.280.00C18818418310.000.0010
6362617743CASH_OUT6311409.28C11629223336311409.280.00C136512589068488.846379898.1110
6362618743TRANSFER850002.52C1685995037850002.520.00C20803885130.000.0010
6362619743CASH_OUT850002.52C1280323807850002.520.00C8732211896510099.117360101.6310
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6362620 rows × 11 columns

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" ], "text/plain": [ " step type amount nameOrig oldbalanceOrg \\\n", "0 1 PAYMENT 9839.64 C1231006815 170136.00 \n", "1 1 PAYMENT 1864.28 C1666544295 21249.00 \n", "2 1 TRANSFER 181.00 C1305486145 181.00 \n", "3 1 CASH_OUT 181.00 C840083671 181.00 \n", "4 1 PAYMENT 11668.14 C2048537720 41554.00 \n", "... ... ... ... ... ... \n", "6362615 743 CASH_OUT 339682.13 C786484425 339682.13 \n", "6362616 743 TRANSFER 6311409.28 C1529008245 6311409.28 \n", "6362617 743 CASH_OUT 6311409.28 C1162922333 6311409.28 \n", "6362618 743 TRANSFER 850002.52 C1685995037 850002.52 \n", "6362619 743 CASH_OUT 850002.52 C1280323807 850002.52 \n", "\n", " newbalanceOrig nameDest oldbalanceDest newbalanceDest isFraud \\\n", "0 160296.36 M1979787155 0.00 0.00 0 \n", "1 19384.72 M2044282225 0.00 0.00 0 \n", "2 0.00 C553264065 0.00 0.00 1 \n", "3 0.00 C38997010 21182.00 0.00 1 \n", "4 29885.86 M1230701703 0.00 0.00 0 \n", "... ... ... ... ... ... \n", "6362615 0.00 C776919290 0.00 339682.13 1 \n", "6362616 0.00 C1881841831 0.00 0.00 1 \n", "6362617 0.00 C1365125890 68488.84 6379898.11 1 \n", "6362618 0.00 C2080388513 0.00 0.00 1 \n", "6362619 0.00 C873221189 6510099.11 7360101.63 1 \n", "\n", " isFlaggedFraud \n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "... ... \n", "6362615 0 \n", "6362616 0 \n", "6362617 0 \n", "6362618 0 \n", "6362619 0 \n", "\n", "[6362620 rows x 11 columns]" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "K9bz5ZRwkhqx", "outputId": "1172c79d-b6a2-42d4-d86b-125a82e1d768" }, "outputs": [ { "data": { "text/plain": [ "(6362620, 11)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.shape" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 429 }, "id": "bubgNJI5kowT", "outputId": "66d2ad91-0f42-4668-e9ac-d00d74372cf1" }, "outputs": [ { "data": { "text/plain": [ "step 0\n", "type 0\n", "amount 0\n", "nameOrig 0\n", "oldbalanceOrg 0\n", "newbalanceOrig 0\n", "nameDest 0\n", "oldbalanceDest 0\n", "newbalanceDest 0\n", "isFraud 0\n", "isFlaggedFraud 0\n", "dtype: int64" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.isna().sum()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 178 }, "id": "lLsZp2hjksY2", "outputId": "e4f06dec-f89e-43d6-c33c-15c71e7ec5ac" }, "outputs": [ { "data": { "text/plain": [ "isFraud\n", "0 6354407\n", "1 8213\n", "Name: count, dtype: int64" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.isFraud.value_counts()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "N3wpOi6Kk4NS", "outputId": "d9332aff-9a17-4c69-9d53-4839a569fba7" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.12908204481801522\n" ] } ], "source": [ "print((df.isFraud.value_counts()[1] / len(df) * 100))" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 429 }, "id": "UsAY7S-yhP4o", "outputId": "db70d0ea-8aa9-4464-d180-e04af2e042fd" }, "outputs": [ { "data": { "text/plain": [ "step 0\n", "type 0\n", "amount 0\n", "nameOrig 0\n", "oldbalanceOrg 0\n", "newbalanceOrig 0\n", "nameDest 0\n", "oldbalanceDest 0\n", "newbalanceDest 0\n", "isFraud 0\n", "isFlaggedFraud 0\n", "dtype: int64" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "id": "NhSjgBvaqjJp" }, "outputs": [], "source": [ "df.dropna(axis=0, inplace=True)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 429 }, "id": "tmOb475nf90X", "outputId": "d68ecb85-6205-4fbb-cdab-16c876802995" }, "outputs": [ { "data": { "text/plain": [ "step 0\n", "type 0\n", "amount 0\n", "nameOrig 0\n", "oldbalanceOrg 0\n", "newbalanceOrig 0\n", "nameDest 0\n", "oldbalanceDest 0\n", "newbalanceDest 0\n", "isFraud 0\n", "isFlaggedFraud 0\n", "dtype: int64" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.isna().sum()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "id": "sz8WYfavgA85" }, "outputs": [], "source": [ "type_counts = df.groupby(['type', 'isFraud']).size().reset_index(name='count')\n", "type_counts['isFraud'] = type_counts['isFraud'].map({0: 'Valid', 1: 'Fraud'})" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 542 }, "id": "xIkUrriTgKtp", "outputId": "0d8ca966-402c-4d61-f060-c06918bfe473" }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "isFraud=Valid
type=%{x}
count=%{y}", "legendgroup": "Valid", "marker": { "color": "#636efa", "pattern": { "shape": "" } }, "name": "Valid", "offsetgroup": "Valid", "orientation": "v", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ "CASH_IN", "CASH_OUT", "DEBIT", "PAYMENT", "TRANSFER" ], "xaxis": "x", "y": { "bdata": "9FkVACgUIgDYoQAAR9QgAKwRCAA=", "dtype": "i4" }, "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "isFraud=Fraud
type=%{x}
count=%{y}", "legendgroup": "Fraud", "marker": { "color": "#EF553B", "pattern": { "shape": "" } }, "name": "Fraud", "offsetgroup": "Fraud", "orientation": "v", "showlegend": true, "textposition": "auto", "type": "bar", "x": [ "CASH_OUT", "TRANSFER" ], "xaxis": "x", "y": { "bdata": "FBABEA==", "dtype": "i2" }, "yaxis": "y" } ], "layout": { "barmode": "group", "legend": { "title": { "text": "isFraud" }, "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "barpolar" } ], "carpet": [ { "aaxis": { "endlinecolor": "#2a3f5f", "gridcolor": "white", "linecolor": "white", "minorgridcolor": "white", "startlinecolor": "#2a3f5f" }, 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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.express as px\n", "fig = px.bar(\n", " type_counts,\n", " x='type',\n", " y='count',\n", " color='isFraud',\n", " title='Transaction Types: Valid vs Fraudulent (Log Scale)',\n", " barmode='group',\n", " log_y=True,\n", ")\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "id": "gg_yd9RtgSjZ" }, "outputs": [], "source": [ "df['errorBalanceOrig'] = df['newbalanceOrig'] + df['amount'] - df['oldbalanceOrg']" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "id": "3ami4aqegfHA" }, "outputs": [], "source": [ "df['errorBalanceDest'] = df['oldbalanceDest'] + df['amount'] - df['newbalanceDest']" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 594 }, "id": "55876X6WggsB", "outputId": "7f106df3-6fed-4d44-ebd7-70901b2685a9" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\NAUSAD ALI\\AppData\\Local\\Temp\\ipykernel_3300\\1645052645.py:9: FutureWarning: \n", "\n", "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", "\n", " sns.countplot(data=df, x='type', ax=axes[0], palette='muted')\n", "C:\\Users\\NAUSAD ALI\\AppData\\Local\\Temp\\ipykernel_3300\\1645052645.py:15: FutureWarning: \n", "\n", "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", "\n", " sns.countplot(data=fraud_df, x='type', ax=axes[1], palette='dark:red')\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "sns.set_theme(style=\"whitegrid\")\n", "\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(15, 6))\n", "\n", "# Plot 1: Total transaction types\n", "sns.countplot(data=df, x='type', ax=axes[0], palette='muted')\n", "axes[0].set_title('Distribution of Transaction Types')\n", "axes[0].set_ylabel('Number of Transactions')\n", "\n", "# Plot 2: Transaction types where fraud occurred\n", "fraud_df = df[df['isFraud'] == 1]\n", "sns.countplot(data=fraud_df, x='type', ax=axes[1], palette='dark:red')\n", "axes[1].set_title('Transaction Types for Fraudulent Transactions')\n", "axes[1].set_ylabel('Number of Fraudulent Transactions')\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 670 }, "id": "KQlQi49jg1ud", "outputId": "44751068-f708-4d28-a045-d8ac3c041c5c" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\NAUSAD ALI\\AppData\\Local\\Temp\\ipykernel_3300\\4113179516.py:3: FutureWarning: \n", "\n", "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", "\n", " sns.boxplot(data=df, x='isFraud', y='amount', palette='Set2')\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10, 6))\n", "\n", "sns.boxplot(data=df, x='isFraud', y='amount', palette='Set2')\n", "plt.yscale('log') # Log scale because of extreme outliers\n", "\n", "plt.title('Transaction Amount Distribution: Valid (0) vs. Fraud (1)')\n", "plt.xlabel('Is Fraud')\n", "plt.ylabel('Transaction Amount (Log Scale)')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 726 }, "id": "jNGcXgSIhQ7X", "outputId": "a4cf52ad-52f0-4e0b-cf14-e89696eccbd6" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10, 8))\n", "\n", "numerical_cols = df.select_dtypes(include=['int64', 'float64']).columns\n", "correlation_matrix = df[numerical_cols].corr()\n", "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\", linewidths=0.5)\n", "plt.title('Correlation Heatmap of Numerical Variables')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "_MUB50lehc-d", "outputId": "182822ef-3546-46ce-d54e-0618c32082f9" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fraud cases correctly flagged by old system: 16\n", "Legitimate cases incorrectly flagged (False Positives): 0\n", "Fraud cases completely missed by old system: 8197\n" ] } ], "source": [ "flagged_correctly = df[(df['isFraud'] == 1) & (df['isFlaggedFraud'] == 1)]\n", "flagged_incorrectly = df[(df['isFraud'] == 0) & (df['isFlaggedFraud'] == 1)]\n", "missed_fraud = df[(df['isFraud'] == 1) & (df['isFlaggedFraud'] == 0)]\n", "\n", "print(f\"Fraud cases correctly flagged by old system: {len(flagged_correctly)}\")\n", "print(f\"Legitimate cases incorrectly flagged (False Positives): {len(flagged_incorrectly)}\")\n", "print(f\"Fraud cases completely missed by old system: {len(missed_fraud)}\")" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 542 }, "id": "Lh5gh-elhqfa", "outputId": "c563b491-f962-4d27-e7df-252b983aaf49" }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "isFraud=Fraud (1)
Old Balance (Origin)=%{x}
Transaction Amount=%{y}", "legendgroup": "Fraud (1)", "marker": { "color": "#636efa", "opacity": 0.7, "symbol": "circle" }, "mode": "markers", "name": "Fraud (1)", "showlegend": true, "type": "scattergl", "x": { "bdata": 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dxkDD9Shcf0HRQM3MzMxsM9tAhetRuB6pi0CF61G4mhEQQZqZmZkJPvtAPQrXo/YqDUHD9ShczwvAQI/C9Sic+7xAzczMzEY5AUFSuB6FL7PwQHsUrkdp3RhBPQrXo+ykCUHsUbge9aAgQQAAAADsfQRBj8L1KHgwCUF7FK5Hq30OQQAAAABg485AUrgeBex2IEHXo3A97mX1QB+F61G4nctAexSuR4nVCUH2KFyPMsXrQIXrUbieg6xAzczMzChJ/0AAAAAAcFcLQRSuR+E6RsZAFK5H4RJo/kDsUbgexUjHQFK4HoVrD89A9ihcj3DDAEF7FK5HUcP7QM3MzMzSzwBBzczMzGYpDEEfhetR3IIQQT0K16McdvhAw/UoXMFcBkEzMzMzg3DwQArXo3A9Q79AXI/C9R0VG0G4HoXrQUsQQT0K16NAa9FAPQrXo5A7xEC4HoXrUYnBQKRwPQovuP1ApHA9Cnei0UBmZmZm5kn/QNejcD1CNvdAcT0K1yUWLkEK16Nw/eHWQPYoXI9KNOxACtejcIVX6kDhehSuE4MSQexRuB5pBPhAcT0K14lfHEHNzMzM0toNQaRwPQqrkQ9BhetRuFrT90BxPQrX8XcXQSlcj8LJZRBBj8L1KL4hAEHXo3A9oSAYQVyPwvW4PepACtejcHiCE0EzMzMz873HQEjhehTu/uZAZmZmZqZO6UCF61G4JIAMQUjhehR+GdBAFK5H4Z7MDEE9CtejPjQWQQrXo3C9fMdAzczMzCBt8UCF61G4Br/iQIXrUbg6+/9AUrgehRvd2EDsUbgejY/kQI/C9ShchbdAXI/C9SiTEEFSuB6F6x/nQDMzMzOnqAVB4XoUrscK1UDsUbgeFcIGQUjhehSu0/lAFK5H4Yb/BUHXo3A9asvkQMP1KFxPSPBAH4XrUTjQo0DhehSuR0KqQArXo3BcXhdB7FG4HoVlmkDNzMzMzKCgQKRwPQo/COlA4XoUrvuS+0D2KFyPcs3TQDMzMzMerhVBrkfheqQ11EApXI/C9ROYQOxRuB6lh9NAw/UoXH/g20AzMzMzk7n7QB+F61GQNQ5BcT0K14B2EUF7FK5HweTAQBSuR+EAXQ1BuB6F68PnCkGkcD0Kl0SxQHE9Cteczx1BpHA9Cm1aBUEzMzMz8wrAQI/C9SjXqxVBuB6F6+/4C0G4HoXrMa7QQMP1KFxgSR1BrkfheqCE80C4HoXr0VWlQB+F61E4uLJAKVyPwvW0tUD2KFyPFgwQQc3MzMymAQxBKVyPwv3v6UBmZmZmJvzMQD0K16PwqLRArkfhenSR00CkcD0KF/O4QAAAAAAApHZAFK5H4Qb5/UDsUbge/YL5QGZmZmaMhA5BKVyPwvXepkBmZmZmZgXLQK5H4XrUFcxA9ihcj0KNoEDNzMzMVEYBQeF6FK7HRrpAj8L1KBh5C0HNzMzMnEwRQVK4HoXDCOpAUrgehcsW5EAUrkfhOtSwQDMzMzOVIR9BCtejcL0rAUF7FK5H6y0AQT0K16Owh8pAUrgehc9/+0ApXI/CxZX4QB+F61GyeAJBAAAAAJCy5ECamZmZx9UbQZqZmZkZGslAhetRuPSoBkEfhetReEHSQK5H4Xr0hMJAw/UoXG+6yEAfhetRsq0GQcP1KFzFsgpB9ihcj2pSGEFI4XoU7qC2QGZmZmb279pAuB6F602f8kBmZmZmgE0VQSlcj8KD1QVB9ihcj4Iwt0DhehSuKwwMQT0K16OcTfdAKVyPwsvDDUH2KFyPahEdQXsUrkeh6AFBj8L1KNjRDkGuR+F6xNoDQQAAAABQmtxAAAAAAAAys0BSuB6Fi0X7QArXo3BNF/lAPQrXo8Cu00AfhetRnGL2QMP1KFwZFg1BrkfhehQF+0AfhevRL44rQT0K16N6YgZBXI/C9ehtyUDsUbge8YYBQfYoXI/iRwFBmpmZmZmX8ECkcD0KR/IlQaRwPQr3wdVAAAAAAIADtEAK16NwRV7oQLgehetROPdACtejcNHe9UBSuB6FNyUUQexRuB5Vc/tApHA9ipirJUGPwvUof8QUQSlcj8LqnhNBj8L1KHh4BEFSuB6FOfgCQXE9Ctdjv7BAw/UoXB+Y50DD9Shcj5TPQOF6FK5H261AAAAAAACHyUDXo3A9ShPDQArXo3BdbsJAuB6F69F0y0BSuB4FSrwgQXsUrkdzuwBBhetRuB5AlkD2KFyPpvv0QBSuR+FOvARBZmZmZhueFEGF61G41EUAQSlcj8K5WgxBPQrXo9odAkHNzMzMzA/DQIXrUbgGJPtAj8L1KAzH90ApXI/ClUjgQMP1KFwP0KtA16NwPQq+nkBSuB6FKDIRQVyPwvWTEBBB9ihcj2GDEUFI4XoULmS1QJqZmZnpz9tArkfheqRj0EDXo3A9qu/PQIXrUbg+SspAXI/CNW82OEEzMzMzA3XVQNejcD1KT9RAw/UoXJaYFkG4HoXrEb7IQHsUrkeHjDpB4XoUruMi+EAUrkfhUpTgQGZmZmZm7K5APQrXo3bFAUFI4XoUrregQD0K16NYJvNACtejcP1oxEApXI/C5b7+QD0K16O0tvNA4XoUrs/v7kBmZmZmApT7QHE9CtdjLMVAw/UoXG9jzUBmZmZmIxkUQYXrUbj0ZQxBH4XrUfSa+kDhehSu13D8QClcj8LhQQFBKVyPwsCiE0HNzMzMzHi6QB+F65FHsDVBrkfhennUG0H2KFyPSOQLQeF6FK6FoQhBexSuR3+WAEHXo3A9Hn4TQeF6FK73eOJAuB6F6921/EBmZmZmCqwEQTMzMzMTC8tAuB6Fa3kCI0HD9ShcxcRKQeF6FK5TgPFASOF6FLZ6+EB7FK5HgTPCQD0K16PY9QRBZmZmZjZY3kBmZmZm+mIIQc3MzMzUPeNArkfherQlD0EzMzMzLu8XQfYoXI961gdBSOF6FMzGAkE9CtejMJO8QKRwPQp/Bf9AKVyPwgXd+EAfhetRWOLEQHsUrkeprOlAAAAAAIBLu0Bcj8L1AF/hQIXrUbi+sc9AAAAAALLKD0HXo3A9ihblQArXo3BFR/5AUrgehVsJ00Bcj8L1gEwJQXE9Ctd/9PdAFK5H4db1AEEAAAAAgOuqQLgeheuRys9ApHA9CtNTBEFcj8L15j0CQZqZmZnZh+FAw/UoXBW6A0HhehSu51zGQPYoXI9iq89AzczMzE6ABEEAAAAAZBgGQaRwPQr5ZAJB9ihcj7KQ00Bcj8L1SP3AQGZmZmYGjsZAKVyPwr/BAkEUrkfh+sLBQAAAAADdbxNB4XoUrhGdB0FmZmZmHo/0QHE9CtciLRFBmpmZmavmDEEpXI/C9ciFQD0K16Mgk9dA16NwPRiNDEGF61G4HvihQDMzMzMjzd9A7FG4HtWf0UBI4XoUD8ImQa5H4XpU5ddAKVyPwkFmAUFcj8L1gg4AQVK4HoVrYNlASOF6FDYW/kDD9Shcz5/PQFyPwvXwXOdAuB6F61MoDUFcj8L1DrILQcP1KFxtlgVBMzMzM8Od0EDNzMzMkDgGQYXrUTiC2CVBH4XrUbirBEGuR+F6pMzfQB+F61E4B71AuB6F609cC0FI4XoU6pPzQAAAAADabwxBH4XrUXiM9UDNzMzMDOG3QIXrUbj5oBZBMzMzMyNJOEGF61G4gAAVQa5H4Xp8pwpBSOF6FN6n1kCamZmZmdepQKRwPQoXWAVBAAAAAHCg7UAAAAAA8IvWQD0K16Mwkr1AhetRuGU6E0HXo3A9Snu2QB+F61F4e+xAmpmZmekQCkEUrkfhOvW4QB+F61FKQQdBhetRuK7o70DD9Shc3wbxQFK4HoUbjdVAPQrXo6s7GEFcj8L1qGepQNejcD0qpMBACtejcO3Z50CamZmZmRnEQOxRuB5l4dJAhetRuGxxAkE9CtejsL7kQPYoXI/CDJxA16NwPcr1uUC4HoXrSdINQcP1KFxPe8lAuB6F63OJAkGPwvUoXE2JQKRwPQqX0rFA4XoUrqfwDkG4HoXrzZoEQaRwPQobZvNAexSuRy1yBUH2KFyPQpewQMP1KFyqCxhBUrgehfuX1EDXo3A9CsetQK5H4Xpke/9ACtejcC3n1kApXI9CPhIgQfYoXI8+CPhAH4XrUSiECEG4HoXrADciQa5H4XqMrv5AhetRuFpTEEGF61G4HmCSQAAAAABE/w9BhetRuJ7NukD2KFyPAoC3QClcj8ILywpBPQrXo3BG0UBcj8L1pYcYQRSuR+GiEfdAcT0K158yDkFcj8L1s70RQRSuR+Ea78JA16NwPSruz0A9CtejPTYUQQAAAABA2sRAzczMzPBwCUFSuB6FE1zlQEjhehTO1dVAw/UoXO+lyUA9Ctej4v0GQY/C9SiYiw9BH4XrUUjiB0FI4XoUMHUAQXsUrkexY/dAmpmZmVk8A0EfhetROFi/QClcj8KvmBRBpHA9Cg02DkHD9ShcE6cKQa5H4Xr7BBpBhetRuFou8kDhehSuGbIHQYXrUbgeRNlAmpmZmfVs/UAAAAAAAByOQEjhehSu9s5ACtejcC9nAEGamZmZ2YC8QLgehetV5B1BSOF6FK5ekkCPwvUonGu0QNejcD2KZ81A16NwPe/QEEEAAAAAVGkAQYXrUbjmnfFAj8L1KFzClkC4HoXrXTr4QEjhehRu5AxBMzMzM3Ohs0CuR+F6lGG/QHE9CtetmQtBrkfhejTlwkBxPQrX0dsRQXE9Ctdj98lAKVyPwuVy+UDhehSuT5bjQFK4HoUt7Q1B9ihcjwrH6kAAAAAAQ+kSQeF6FK6HcstAhetRuFiXBEFcj8L1sJHtQBSuR+Hb6BNB9ihcj9Z6+EC4HoXrgQnrQOF6FK4HprNAAAAAAOo8B0HsUbgehVDrQK5H4XoEJN5AH4XrUXTMCEEUrkfh0k4AQXsUrkfhKJNArkfhepT1EUGamZmZ00QUQbgehevRjKBAuB6F69ECxUAUrkfhzqT3QPYoXI/iz95ArkfheqiT9kAfhetRuIWfQDMzMzPKLxNBcT0K12Obx0BxPQrXg7ThQMP1KFyPUsdAzczMzGOiFkEUrkfhOtmyQD0K16Mwi9dAmpmZmdXZA0HsUbgexfTaQOxRuB5/swZBZmZmZqbys0BxPQpXYLc/QexRuB5VBOxAZmZmZjLA9kDhehSux3msQKRwPQqx+xRBUrgehWs98UBxPQrXGe4JQRSuR+FQ2gdB9ihcj3Lb0EDXo3A91GgEQR+F61GQlAlB7FG4HtnGHkE9CtejcOK7QHE9CtejYGlAKVyPwjHfCUHXo3A9qnLjQClcj8L1iHdAj8L1KJy6sEDsUbge5W/GQGZmZmZaofBAH4XrUaii7kD2KFyPKuvgQNejcD2mifRAKVyPwqUV0kDNzMzMSErzQGZmZmamZu5A7FG4HoU4n0CPwvUoNBcaQQAAAABIsOFACtejcO2T60CF61G4/kHIQGZmZmZZ3hpB16NwPQoRyUCPwvUoXKXKQArXo3CVCeNAUrgehStVt0BI4XoU4vICQQAAAAB+3AdB4XoUrqkmA0FI4XoUopUFQY/C9SjsANVA16NwPRDDGEEAAAAAICvqQI/C9SgcttJAj8L1KHwu1ED2KFyPQiPBQClcj8K9re9A16NwPcpWxUBmZmZmAtgHQWZmZuZJmSBBMzMzM1NnwUCPwvUovLvMQJqZmZkpC9dA16NwPUpCuECamZmZyUH2QEjhehSuiqJAKVyPQq8/LEGuR+F6rVsQQbgehetx5M9AMzMzM1PkzkC4HoXrkY2+QGZmZmZmmq5AAAAAAADFvEDNzMxMsLooQY/C9SjADP9AXI/C9YskJEEK16NwWcLxQKRwPQrD6PxAMzMzM8Nc6ECF61G4aSMWQR+F61EYQ9dAzczMzPRk6EDhehSuh5jAQD0K16NwTKBAcT0K12/9AUH2KFyPnAQQQWZmZmbrvBRBmpmZmemw3UApXI/CXR3iQPYoXI/YTwZB4XoUridLzEDhehSuJ2TCQFK4HoVj7eJApHA9CtaHHkFxPQrXY6e7QBSuR+E4+gZBXI/C9QTt/kDhehSuAYQBQbgehetBf9RAzczMzIydtkDNzMzMgL4IQUjhehTqLwtBCtejcH1nwEAzMzMz5RkNQXsUrkdheMBAPQrXo/DrvkDhehSu/4DyQFyPwvUoeLJAMzMzM5+D/ECuR+F61ITdQGZmZmaejQdBXI/C9ctxEEE9CtejuucAQXE9CtcjnKFArkfheqnxFEFmZmZmphfDQGZmZmaGqPlAzczMzITQFEFxPQrXM1nzQGZmZmbwEA9B4XoUru/j+0AAAAAAGnIDQRSuR+F61J9AhetRuI6n/UDsUbgeJj8UQdejcD0KH3ZAj8L1KMKuAEFcj8L1Gh4tQXsUrkcBBsFAuB6F62l++EA9CtejcpcDQbgehetVcA9BSOF6FBq1BEHsUbgeBQekQLgehesRt7dApHA9Ctcul0Bcj8L1wIr6QOF6FK6XMQ5B7FG4HvN5CEHsUbgeJW4OQcP1KFyPtI5A4XoUrqckyUBmZmZm3CYJQXE9CtdjlLdA16NwPWoG00CkcD0KN2AAQa5H4XoU57NA16NwvbS3LUHNzMzMzMw/QMP1KFw3Ge5AcT0K1xNT+kDNzMzMvncFQXE9Ctez0+5AFK5H4fqvpEBSuB6FLxUKQaRwPQohWhBBw/UoXHMkBUHsUbgeveXnQFK4HoVFdw5BCtejcG1z1kDsUbgeFuoRQTMzMzPzaNNAKVyPwslvCUHhehSuR4DTQI/C9Sim6x1BcT0K1zMH2ECamZmZmRfQQAAAAAAwRtdACtejcD0EokB7FK5HIaTPQOF6FK4D3/VA4XoUrkd7hkCamZmZ+QQQQexRuB4lxNtACtejcD08zEDNzMzM+S4QQbgehevvoQ1BrkfhejAZBUFcj8L1aI/ZQFyPwvXhgRZBAAAAAMC1vUDhehSuF64DQVK4HoXWyxRBFK5H4VsaFUHD9Shcr7vbQOF6FK4XKgVB4XoUrgvrEUE9CtejAD/WQEjhepQ1GS9B4XoUrvchB0FSuB6FwWsNQeF6FK4dggpBpHA9Cidf6UDsUbgeZTDEQDMzMzN/6ghBH4XrUbhrwkDsUbgeNczbQB+F61H+igdBSOF6FNJpB0EUrkfhlur6QGZmZmam0rpAw/UoXHkaBkGF61G4PiDkQD0K16MlBSFBj8L1KBbLAUHsUbgexSnlQEjhehQuH6JArkfherSPBEE9Ctej8OboQPYoXI/CPaZAj8L1KJwlwkAUrkfh2qzHQB+F61GqLCNBSOF6FF6N2kBI4XoU7iq5QFyPwvUocK9AzczMzLjqHUGPwvUoT40RQbgehetR6F9AZmZmZschEEGF61G4nsWjQM3MzMwyOwJBzczMzHik8EAK16NwrV3UQHsUrkfBmNJAH4XrURC49kBcj8L1ToERQWZmZmY2ixNBpHA9CleqrUAzMzMzgccZQVyPwvUnMRRBH4XrUbi+ikAUrkfhXpECQTMzMzMzvZxAKVyPwvWct0AfhetRJCj3QJqZmZmxK/5Aw/UoXEOF/kBI4XoUCtTyQKRwPQrXebBAFK5H4VqJxkBmZmZmpu+6QKRwPQpdSBxB9ihcj6Lz1ECuR+F6FKShQD0K16MwMrNAZmZmZuaDoEAAAAAANAcLQYXrUbievcFASOF6FJ6H1EC4HoXrMTbaQIXrUbiqSv5AZmZmZnBABUHD9Shcj/KgQOxRuB6dLAdB4XoUrqeZyUAfhetRuIatQM3MzMz/jhVBuB6F61FosUC4HoXrC5kNQR+F61H4g7VAj8L1KFw2uUBxPQrXbDQWQaRwPQqvx+JAmpmZmdng7kAAAAAAACHzQNejcD2KAb5AhetRuLob/0AzMzMzszHAQClcj8JHzwdBexSuR6FdxEAfhetRmPvGQJqZmRnykSNBKVyPwn0j90DXo3A97JACQRSuR+F6ZqhAZmZmZmxJCUHsUbgevdb8QM3MzMwUnuhAH4XrUdh02UBxPQrXqxIHQSlcj8IXfhBBcT0K15PE/UBxPQrXo9OaQHsUrkdpcOVAH4XrUXBY7kA9Ctejy0QRQRSuR+E6mrNAKVyPwlJKH0GF61G4Bl/gQD0K16PKJwhBpHA9CneKykDsUbge1ebSQEjhehRydPlAMzMzM/Oc1kAUrkfhXdQXQVyPwvWcS/VAUrgehesStEBSuB6Fh2wJQXsUrkch8r5AFK5H4epP3kC4HoXrAeYXQdejcD0K7YhAXI/C9eiZs0B7FK5HDG0VQT0K16OM0QtBFK5H4SxbAEHNzMzM0OL4QMP1KFyPol5AZmZmZjBUE0HhehSui7n/QArXo3A95cpAH4XrUaBN6UCkcD0Kz5juQHsUrkdhOcFAMzMzM3PQz0D2KFyPQpEZQQAAAACJFhRBZmZmphUuO0FxPQpXwO4gQc3MzMwwDwRBFK5H4bp8w0AfhetRSGH0QK5H4XpUKsBAZmZmZsLgBUFI4XoUDnboQIXrUbgeDq9AFK5H4fJI6EBI4XoUFijsQEjhehSuc6pApHA9CtHLBkEUrkdhw7I1QR+F61HmKQJBj8L1KHD8DEFSuB6FWyb1QHE9CtdtAQVBH4XrUbihkkDhehSuRxGLQAAAAABbaxBBZmZmZgGdEkGkcD0K90jAQOxRuB4FCMRAhetRuCjLFUHXo3A9ioeuQAAAAADmDwFBhetRuLKyBEHD9ShcL9ECQXE9Ctfjo+pArkfhehRZl0DhehSujxPjQOxRuB4IfhZBMzMzM9OY0kC4HoXroYPQQFK4HoX72fBAj8L1KODs+UB7FK5HvyoEQfYoXI9CcbZAuB6F6xVWEUGPwvUoOvECQRSuR+G6B8tASOF6FJ7E30CPwvUoTH7YQMP1KFyP7bBA9ihcj2rJ+0D2KFyPKr/iQFyPwvVYgNJAZmZmZo5C60AUrkfhmsvMQI/C9ShcnLpAcT0K19vF/UAUrkfhehWdQAAAAACGcQBBAAAAANBg+kDNzMzMbOPQQMP1KFyHNeZAZmZmZkb+2UDhehSuxwG8QJqZmZlHvgdBZmZmZmbpwUDsUbgepXsJQbgehetRd8RA9ihcjwJ+wEC4HoXrEUnMQB+F61FI7tFA9ihcj/JM00D2KFyPwmC0QBSuR+F6gsNAexSuR9Go+0BI4XoUDgfBQIXrUbhOPANBMzMzM7vh4kDhehSuV7LZQMP1KFyP8dtAhetRuLoG8UBcj8L11q4IQTMzMzMDbPZAexSuR5HqFEHsUbgesWf2QAAAAABA0LxAcT0K14/w80CPwvUonJ27QI/C9Sg8LMlAcT0K10MEwkAUrkfhCoADQSlcj8L9RvVAcT0K16MBz0DsUbgeBRSwQOF6FK5yYRBBpHA9ClcM9EAzMzMzlRcBQcP1KFwHF/dAhetRuF4LCUHhehSud4LgQBSuR+F6PJhAexSuRxGK5ECF61G43lcMQRSuR0EH1kdBCtejcPVHBUHhehSuZ9r2QJqZmZmRDglBAAAAACR3F0HD9Sjcyec8QcP1KFxBnwFBCtejcP3l0EAAAAAAfJn3QK5H4XoNrxhBw/UoXG/axkDD9ShcdRgLQXE9CtfO5BBBMzMzM/MdzkBmZmZmvlwBQR+F61FcmflAhetRuKqS8ECPwvXoKWgwQYXrUbikzANBcT0K1yN/3kDsUbgexZrQQAAAAACAm6JA4XoUrsfuCEFxPQrX7zUSQR+F61GYx/FAH4XrUYRgE0FSuB6FIscQQXE9CtfYDRNBMzMzsygQL0EUrkfh6lTlQB+F61F4VsZACtejcP07ykBcj8L1nM3zQOF6FK5Hm81AMzMzM8OJ7UApXI/Cw1MTQZqZmZk3hgRBhetRuO4FAUEUrkfhet6YQB+F61Hob9NAhetRuPLW9UBSuB6Fl7wDQexRuB40shhBuB6F6zJqNEEfhetRONqjQDMzMzMbN+RAw/UoHIIrNkEzMzMzs7mnQLgehetR8dVAuB6F64Wj9kCkcD0Kt0TRQB+F61FCuwNBmpmZmSFv7EApXI/CV8cGQXsUrkfh6oBAUrgehWEoEEHXo3A9Bvs8QcP1KFyPM5NAXI/C9Zgg7UD2KFyPCmb5QOxRuB4J2v1APQrXozAWx0CamZmZ4mgaQQrXo3B9y85AcT0K16PWskDD9ShcD0q7QOF6FK6H+7VAj8L1KHy550BSuB6F+zfuQIXrUbge+KBAMzMzM+foEEGPwvWoZdwgQT0K16M4tvdA16NwPU5T/0DD9ShcjyaNQD0K16PwXtVAexSuRzAXGEGPwvUoXCiRQEjhehTu78JAZmZmZloaDkEK16NwvYbLQFK4HoWzSwNBmpmZmbwqEUHXo3A9ElbvQHE9CtdfBwpBXI/C9YjfwUAK16NwvPgRQa5H4XqsJOVAZmZmZqggAEEAAAAAoFvAQNejcD0KBrNAUrgehbuY2UCPwvUo3OOrQB+F61H+oAlBj8L1KBxCukC4HoXrXWfyQFyPwvWo1KhAexSux4apL0EK16NwTDcTQa5H4XoumQBB4XoUrtfo2EDD9Shcv9HtQGZmZmYGaNBAcT0K1yNd2EB7FK5H6SLjQJqZmZlPWQVBZmZmZuvUFUE9Ctcje9sgQZqZmZkNSfxAUrgehWsepkDD9ShcC4QTQSlcj8I7GRNBcT0K1z5HE0FSuB6FqxHUQEjhehQEhBZBFK5H4ZLx9UAfhetRaHraQKRwPQo7ufdArkfhehSfsEDD9ShcfT8UQQAAAACgGf9Aw/UoXM9m9kBxPQrXz+v0QB+F61HY8wlBCtejcKXr9kAzMzMz0/rLQB+F61H+yQpBexSuR+H3rUDsUbgetcDtQM3MzMxUie5AhetRuK5D3EC4HoXrAX/iQOxRuB4FJ/1Aj8L1KD42BUGPwvUoXrIGQVK4HoX/QxFBcT0K13zLEEFI4XoUrnS1QFK4HgV5HTJBPQrXo1BXwUB7FK5HYS3CQOF6FK6/lehAH4XrUcjI3UAUrkfhGicdQdejcD06GgBBUrgehTXGB0FI4XoULsDHQOxRuB7lqcZAAAAAAMwuEUHsUbiexawoQXsUrqcW22JBUrgehesG00BmZmZm5jy/QOxRuB41/9dAhetRuAYi4EDsUbgeBSi+QKRwPQoX9MlAcT0K11ubCEGuR+F6FOqnQHsUrkf18/xAzczMzDxQ7kCPwvUo8AACQWZmZuYXaztB16NwPRpE1kB7FK5H2WX9QLgehesXdxFBXI/C9V4DGEHNzMzMnHDUQBSuR+FzpRdBrkfheiO4EEHNzMzMzF6NQMP1KFwBIghBexSuR5EM2kCkcD0KfSkSQWZmZmZWeAlBAAAAAMBos0DsUbgeK7U6QXE9CtcHTwRBcT0K16PylEBI4XoU3m/3QMP1KFxDogJBj8L1KPzAy0D2KFyPAti9QOF6FK7H3d9ArkfhejRc00DD9ShcT13PQArXo3BBjPtAuB6F6xMnFUHhehSuB+LOQM3MzMyeoARBuB6F6zne40B7FK5HEQ/qQKRwPQqTkPhAKVyPwgU20kCuR+F6PuQIQWZmZmaGsNVACtejcGWL/EAUrkfhal7fQJqZmZmZLaNAUrgehbkxBUEzMzMz4+/1QOxRuB7VzeZA7FG4HgWSsEAUrkfhjl0WQa5H4XpaHxBBXI/C9X5zBEH2KFyPqvYJQQrXo3B7jABBSOF6FM4PzUBxPQrXIz7FQClcj8Lxq/lAj8L1KJxxtUCF61G4PuX/QHE9Ctej36BAMzMzM0sY6UB7FK5HzSD4QB+F61HoddJAzczMzNQR/EDhehSu65oHQR+F61FgsuBAuB6F6xlCBEHNzMzM7DDSQI/C9Si8seVA4XoUrsdnuECuR+F6HBr3QM3MzMzMMoNAj8L1KAR940D2KFyP4nDJQPYoXI+q0eFASOF6FG4euEBxPQrXwdQTQR+F61FYc9BAuB6F65Gc1kDsUbgewVARQWZmZmay+/ZACtej8KnPKUGF61G4rt4LQWZmZmbuVCBBw/UoXNOAD0EK16Nw7KsQQeF6FK5HbaxA9ihcj8J/n0DD9ShcDzW2QD0K16NAetBAPQrXoxAdwkAK16PwwIwlQXsUrkchxfZAPQrXo8Q0DEHNzMzMCMf4QHsUrkcB9sJAMzMzMxNdwEDsUbgeBX6+QNejcD09VRhBAAAAALBs00AzMzMzVegJQcP1KFw/Z+FA7FG4Hu+HAkE9CtejjrEGQXE9CtdW6hFBZmZmZt5jCkEzMzMzKy4CQT0K16MMTPpAj8L1KPy9wEDXo3A95C4NQcP1KFzb/wtBcT0K159G8UB7FK5H4T+SQB+F61EkzAFBXI/C9QjUCUFmZmZmZnHKQOF6FK4DCg9BzczMzJDr+EDNzMzMljMHQexRuB4f/wlBKVyPwvX5t0AK16NwPRWUQK5H4XowCwVBj8L1KJzivkAK16NwveqrQOxRuB6hPv1A7FG4HoV0tkAAAAAANgsbQXsUrkcu0DBBpHA9Cvl0B0H2KFyPosIKQRSuR+H6G7tAMzMzMyjlGUFcj8L1KKSEQOxRuB7F39xA4XoUrqdJyEC4HoXrcffnQIXrUbi9EhBBKVyPwkXu6EDD9ShcB2DyQHsUrkfhxLhAexSuR5+2CEGF61G4HseCQHsUroeA611BuB6F6+kD50D2KFyPqZ4UQdejcD2qmsBA7FG4Hv2J/0BxPQrXAwDIQMP1KFyB9QBBw/UoXPUtBkGF61G4/u0SQa5H4Xrw2PlApHA9Ci+p6EDD9ShcjxrDQLgehetRi5hA4XoUrgdEw0A9Ctej8AO8QPYoXI8CoNFAzczMzNMDLEGF61G4/sLFQI/C9SgcT7tA9ihcj0AyCUG4HoXrae3jQM3MzMxQvw1BuB6F6zHs2kApXI/CkZ34QEjhehQuneVA16NwPcq9xUAAAAAAkG3eQKRwPQq3gMBACtejcJcJBkFSuB6FF5AXQR+F61GIKgpBFK5H4QxeEkHD9ShcjwpgQNejcD2aCNFA9ihcj0KZv0CPwvUofPzCQFyPwvUwwgxBhetRuB6YvUCF61G4/hbmQArXo3BBwAFBuB6F62lXA0Fcj8L1X5sTQYXrUbiGkRZB7FG4HhtBDUHsUbgecbLyQClcj8ICchNBPQrXoxSEA0EAAAAAaKABQbgeheux6NBAhetRuFD8BkEpXI/CndkPQWZmZmbOlgNBzczMzA65DkEzMzNzHaU2QexRuB6ptflAFK5H4TrDsECF61G4ZsrjQK5H4XoUZ8xASOF6FI6BwUDNzMzMHCzeQD0K16OS8gVBSOF6lESzIEEzMzMzgugZQa5H4Xp+VQ9BuB6F63l6BUF7FK5HtmkjQXE9CtdDis9A16NwPewlBkHXo3B9ZXlJQfYoXI/vHh9BZmZmZgTrGEEUrkfhXEkUQUjhehRuU9FA16NwPUqhykCPwvUoA28WQQrXo3Bnig9BMzMzM+Pu10AK16NwLvwUQfYoXI8W+fZAKVyPwudPNkEzMzMzoc4CQVK4HoXrYr1APQrXo3Bx1kC4HoXr+V/4QDMzMzOnb/JAZmZmZq7LDEG4HoXrFRURQfYoXI9K+PpArkfhenQ5wUApXI/CtRXcQBSuR+F+7Q1BFK5H4dqrxkBmZmZmZhLfQB+F61HK7wFBCtejcE8ZD0EzMzMz91z8QKRwPQovrftArkfheuQt1kAfhetRmE7VQPYoXI8SwORApHA9ChdMs0DXo3A9aiTFQOF6FK7hlABBuB6F64mP4kBSuB6Fa0WiQEjhehT+heBA7FG4Hv1GCUGkcD0Kp07TQNejcD26gtRAmpmZmRmZwEB7FK5HVeD7QK5H4Xr4FBhB4XoUrvKWEUGPwvUoKBwQQfYoXI/e4QhBcT0K16OKtUBI4XoUQXgaQWZmZmam37hAhetRuF5Q0kBxPQrX18HyQFyPwvW6xxZBmpmZmZluy0CF61G4jCILQa5H4XrtCRNBj8L1KLzZEkGamZmZYZMIQaRwPQoXeMFAzczMzMxgnUC4HoXrAQHfQOF6FK6HTtVAcT0K17Ma5UAzMzMzRegFQY/C9SgMUthAAAAAABAA4EDD9Shcb63IQI/C9Sj0guhAmpmZmfmYEkEAAAAACkcHQRSuR+F6trtACtejcD08h0BI4XoUPkMKQUjhehSunaJA4XoUro8QD0EfhetRqPb8QIXrUbguB9dAcT0K11M00EDhehSuBfcPQeF6FK6J3wBBH4XrUVgYzECkcD0KZ0T0QGZmZmauIOpACtejcH1wyECamZmZOYvBQBSuR+HmSwBBFK5H4XpixUBxPQrXY/27QB+F61HIvNxAFK5H4Sqs1UApXI/C1SzKQJqZmZmdbflAKVyPwg0B70A9CtejcBjLQOF6FK4HBsRA4XoUrnO38UBcj8L1gxEQQXsUrkfhXoxAexSuRyE/vEAfhetRkPrkQPYoXI8OxApBw/UoXJDaE0GPwvUo1BDgQOF6FK7XMNNA7FG4HgUMskBxPQrX/yD9QAAAAAD1whJBXI/C9Rwh/ED2KFyPBqEVQZqZmZkZi8ZArkfhenw8BkGkcD0Kq4UUQT0K16OPBhhBH4XrUZgt4kDD9Shc46UOQY/C9ShspARB16NwPQq+ykCkcD0K2TAXQQrXo3D0KhJBMzMzMzNZ00B7FK5HbboFQSlcj8J138FAzczMzDT9/kBxPQrXazEAQdejcD2evvJAhetRuN71xkApXI/Cfcf2QClcj8Il9vBA9ihcj0IvqEDhehSusRcFQVK4HoVLpcNApHA9CscE1EDsUbgeZ1wKQWZmZmaGJMhAexSuR1gPE0FxPQrX41btQHsUrkeMmRZBpHA9CseY8UDD9ShcA6AAQeF6FK5L1vpAj8L1KFxslEBI4XoU7pK5QPYoXI+CTrRAXI/CNe5IPEHhehSux/3wQFyPwvUoP6JArkfhevSMzEDXo3A9Ct+gQEjhehTSQgdBrkfh+id3IkEzMzMzUzTRQIXrUbiAbA9B4XoUrkdwn0DXo3A9ruYNQbgeheu/qhRBMzMzM7MotkDhehSu6xH0QDMzMzOr9/ZA9ihcjwowBUE9Ctej0IvAQM3MzMwMl+hACtejcAnDB0HD9ShcXPEQQVK4HoU7BdVAmpmZmfePEUF7FK5HZ1cBQcP1KFyP/oFArkfhehSul0Bcj8L1rJ3yQLgeheuFoQZBKVyPwo104EAfhetR2CbuQDMzMzMrUw9BPQrXo9CYxECuR+F69OvVQArXo3CrAhRBrkfheierEUHXo3A9CpT1QFyPwvUEaPpAAAAAAMAzy0DD9Shcd0fyQHsUrkfh259AMzMzMzPtikAfhetRi6oYQXE9CtdDA89Aj8L1KMzD10DD9ShclyYKQcP1KFy5nQ5BUrgehXPe60AfhevRXcAgQfYoXI/C0YRAuB6F6/caAkEAAAAAoCHKQB+F61HVbhhBj8L1KJRyAUGuR+F6jmECQaRwPQp389tA9ihcj/gRCEHhehSuraUSQZqZmZmB4uVAmpmZmWvkBEHNzMzMrMXsQHsUrkdBuOhA9ihcj0LPoUDXo3A9dWAXQZqZmZlN7xtBMzMzMzPJnUDD9ShcD6PWQM3MzMys1w5BKVyPwkfeE0GkcD0KT30aQdejcD26/9pA16NwPWJF5EC4HoXrcpEcQUjhehQSogpBCtejcJ3d20DhehSux0+oQNejcD3qP8pAhetRuPyFBkFSuB6Fa2DAQClcj8J1Q/FAhetRuHufEEGuR+F6wkEpQSlcj8J16r5AUrgehQc28kAzMzMzrd0GQcP1KFx/OwRB16NwPZqA0UAAAAAACzQlQWZmZmbGbsdAw/UoXNEfCEEfhetRAPzrQOxRuB5Vu9JAAAAAABDK00AK16NwPVucQNejcD3iuuhA4XoUrqtP+0BmZmZmZqazQK5H4Xr0vcpAmpmZmcxSFUHhehRO/fRFQRSuR+HGg/5AAAAAAFAD0UD2KFyPAjqyQJqZmZmp/P5Aj8L1KPzG1EApXI/CQ1MKQa5H4XqwrQVBAAAAABBp1UB7FK5H+wEdQa5H4Xry4QRBzczMzGFbIUFI4XoU/rrhQPYoXI+KoixBcT0K11Nt2kAfhetRznYUQT0K16MTrRRBj8L1KJzotEAUrkfhjnQwQTMzMzOzWKBA16NwvV8wM0EfhetR4FD+QArXo3De4hRBUrgehWtZo0CkcD0Kv5gSQexRuB6QAxxBMzMzM3MntUBxPQrXw6LfQAAAAACodPJAMzMzM3O4u0AfhetRKhUGQRSuR+HqSjlBH4XrUSj91kAfhetR6MzVQIXrUbgdkhRBpHA9ClynEEGkcD0Kn/4AQfYoXI86a/VAhetRuGat+UCF61G4HmgBQeF6FK4NOQdBj8L1KFz5gED2KFyPunf5QHE9Ctf3r/1AFK5H4SquD0GkcD1Kcf06QbgehWvkJSpBrkfheuwX7kBcj8L1KJ6xQOF6FK7HHLFAuB6F6/Hgy0DD9ShcTyfQQGZmZmZm/NZAPQrXoxjs80CamZmZRB8UQYXrUbiuKNxAuB6F61HUnUAAAAAA2A0WQdejcD0qn8NAw/UoXDuoBUGkcD0Kz3XiQFK4HoWrcL1AMzMzMzNCpEBmZmZmntrkQFK4HoULk8BA9ihcD/taI0GPwvUojATfQFK4HoUB8hRBH4XrUWvaFUF7FK5H7V79QI/C9SibwxhBrkfhetQhDEEK16Nw4cAFQcP1KFwn+OpA7FG4HgXHuEDsUbge6dwSQaRwPQrvGOFAhetRuB5ld0A9CtejJ50TQcP1KFzPictAw/UoXBc37kCuR+F6NDLCQAAAAABoefVACtejcOeJG0HhehSu97X9QMP1KNwoNCVBKVyPwlW/wEBcj8L1rKEZQTMzMzMLtvtA9ihcj8KrlUApXI/ClScLQRSuR+HaoQtBCtejcNHbDUEzMzMziSMPQfYoXI/C6tZA7FG4HuWg50CPwvUo0Fv5QJqZmZlhrf1A16NwPfKe+UApXI/CRX8JQSlcj8JVNdZAPQrXoyBF8ED2KFyPDIgCQXE9CtfGphxBXI/C9YjAxUA9Ctej0HHOQClcj8KXhAVBXI/C9UMQEkH2KFyPQrm4QBSuR+Fe+PdAhetRuN6fuEApXI/CuZzyQClcj8J178VApHA9Cs97EkHXo3A96i7EQMP1KBwSUUNB16NwPYoPxEDXo3A9a3QZQdejcD2Ks8ZArkfhehSrsUC4HoXrMTLIQEjhehTueM9AexSuR4GD2EC4HoXrTUrxQIXrUbj+799ApHA9CoEaA0FxPQrXAz/AQI/C9SgcvulA4XoULpYyLUF7FK5H25MGQcP1KNzoVihBSOF6FIhlEkEUrkfhkvwOQa5H4XqUKRJBmpmZmVlZtUCF61G45tDhQBSuR+HChPJAuB6F61tcAkE9CtejIJbbQLgeheup7fNAKVyPwmNcEUHD9ShcjzamQHsUrkexWN5AcT0K19OQ20AUrkfhLL0SQbgeheup9uNArkfhepS0oUCamZmZmT+XQD0K16O4+etASOF6FK5Is0CF61G46qUbQXE9CtejqwpBrkfhehTOWUApXI/Cg/YJQQAAAABgkNNAzczMzExKuUDsUbgeSZgIQUjhehTWTO5AUrgehd2QBEHNzMzM1ADtQLgehetRuFlArkfhegq8A0HD9ShcjzSFQM3MzMwkY+5A4XoUrqf6wEDD9Shcjxq9QLgehesRptJAZmZmZkbfCUEfhetROCXZQHE9CtelOA1BSOF6FJVUIEHsUbge5f/fQGZmZmYDChJBrkfhevCI8ECF61G4uOUSQTMzMzPz0/1AFK5H4e7NBEFI4XoUNK0LQXE9CtfHKQBBrkfheiSx3EApXI/CFToPQXE9CtdjprVAhetRuH7l0kDXo3A9iooFQa5H4XrUGLlA7FG4HvMtBUEzMzMzszusQBSuR+E6acBAXI/C9WgnwUC4HoXrKV0BQfYoXI/ypwJBH4XrUWju80D2KFyPstPTQI/C9Sj+mxJBKVyPwrPLCkG4HoXrwVjSQArXo3DltfpA4XoUruF/LEFI4XoUvgPiQJqZmZkZatxA9ihcj5T1AEE9CtejcIWHQAAAAADwMNNAj8L1KNyOB0FSuB6Fwf4TQR+F61HgRuVApHA9Cn+27ECPwvUoXNTAQOF6FK6BohJBhetRuO3BEUHhehSuB0iyQIXrUbj3qxVBSOF6FHwWE0EUrkfheknHQArXo3DxAfVAMzMzM3MdxkAfhetRuImXQDMzMzNz1NdAzczMzAxstUDD9Si8okVAQcP1KFxRtBBBKVyPwsRPHEHsUbgej60TQcP1KFxDsgBBMzMzM4HAC0GF61G4gO0UQa5H4XpTkhRBMzMzMw1zD0Fcj8L1HLf6QK5H4XoE//FAXI/C9agZsUAzMzMzg/LdQHE9CtdL/OFAZmZmZr1cE0EK16NwDbvdQB+F61Ec9vVAUrgehctu8ED2KFyP0qPUQFyPwvWoHtBAFK5H4WIK7kDhehSu3yLjQM3MzMwu7wtBhetRuB7+z0AUrkfhMYIdQa5H4XoEhNRApHA9CtfhkEDhehSutzHsQArXo3CPAxRBZmZmZjBEEkHD9ShcT33dQFyPwvXIbAZBSOF6FH6lCkEfhesR8SgzQaRwPQp3eAlB9ihcjyD+D0EAAAAArDX/QDMzMzOzk8JA4XoUrkccn0Bcj8L1ILQJQY/C9Sg0HeRAKVyPwosMBUE9Ctej4Kf7QJqZmZmL6ANBFK5H4ZArCkHXo3A9SkLPQArXo3AnPQ9BhetRuB4jzUDXo3A90nDvQM3MzMyMWMRAH4XrUQhR0EBxPQrXE77XQKRwPQrv5uxAmpmZ2dt6OUHD9ShcwV8FQQrXo3DxQ/JASOF6FF7P4kCF61G4oEQNQYXrUbiW+O5AFK5H4XmxFEGF61G4ntrSQOxRuB7Fz7VAhetRuJ4wo0BxPQrXX7j5QK5H4Xos3fpAw/UoXK/8wEAAAAAAoOD2QDMzMzODxtVAPQrXo2Bc/0BSuB6FayUEQT0K16NgOtVAH4XrUVTtDkEfhetRNtYBQQAAAACslvZArkfheszxHkFSuB6FC0PNQB+F61EumAlBH4XrUVA9AUFSuB6FAyHpQKRwPQo3GwBBCtejcB060kBcj8L1SF7sQOxRuB7Tyw9BhetRuBCZDkEpXI/C5QIOQc3MzMyE4+tAexSuRwPJD0H2KFyPymDlQBSuR+FoYwhBzczMzIw41UBI4XoU3ikHQRSuR+FaVuVAH4XrUdwW/UBcj8L1qPq2QD0K12OQpDNBZmZmZsCIAEGPwvUoXGWyQHsUrkcRPPVAUrgeBenNJEGF61G40p38QPYoXI8ikSJBhetRuP7ByEC4HoXrcQvlQKRwPQrXj3FAH4XrUSBE4UBI4XoU9vrnQKRwPQqXU7RACtejcDajFEFxPQrXbxkUQdejcD0qMORASOF6FM5MwkDhehSuNpsaQRSuR+FaWNBAj8L1KCAG+UBxPQrXJD0XQRSuR+G8vQZBPQrXo9ruDUHXo3A9ytnNQFyPwvW4vOlApHA9Cte/xEApXI/CVaoPQUjhehRnqRBBH4XrUQQP9UCkcD0Kz3ThQIXrUbhOV+pAMzMzM8P80ECuR+F6eskGQVK4HoVPBPNA16NwPYoCu0CPwvUoJJ0HQaRwPQoP/u1AAAAAAISz8UBxPQrX15P9QNejcD0ahNFAexSuRydDBkG4HoXr/ewOQa5H4XrcZ/1AXI/C9XGwE0FI4XoU7gn2QHsUrscctiVBUrgehU4GGUG4HoXr3W/zQEjhehTuOMJApHA9Cvu4GUHsUbgexTvMQPYoXI/q3+tAw/UoXBec/EAK16NwvRvDQArXo3DTkQBBmpmZmRmNzEB7FK5HPUIRQR+F61GcMfFA16NwPR5j+ECPwvUo8m8eQQrXo3ANZdJAKVyPwvVYeUAAAAAAKfYRQeF6FK7HAc5AZmZmZo95FEE9CtejMJ7NQArXo/B3aCVBhetROJt2RkEzMzMz80a1QAAAAAD+IwhBuB6F69EcqkAK16NwXUDGQGZmZmZm9KBAFK5H4bRGAEHXo3A9ypmwQJqZmZl5og5BpHA9CtcDHEG4HoXrkRfDQDMzMzNz6elAexSuR6EZ3UDNzMzMrLzAQOxRuB7XBhtBMzMzM6lHOkH2KFyPYrrcQFyPwvXKOgNBrkfheoK1FkEzMzMzk7PpQLgehetBbd9A9ihcj0JYtEBxPQrXc071QLgeheulWvlA7FG4HoXbiUDNzMzMbIDJQIXrUbieFa9AhetRuO5p0UDD9ShcTxewQB+F61E4BLhA7FG4HrW64EAK16NwmVYiQaRwPQrb5B9BuB6F6+HJ4kD2KFxPH/5JQexRuB6HIwhBmpmZmRmwuEB7FK5HaVbmQEjhehQWYvNA4XoUrhc010DsUbh2ZUphQZqZmZkN0/5ACtejcHOUAEEzMzMzs3+hQBSuR+H6IbtAcT0K1yNHo0CF61G43tzzQB+F61FAwuJAKVyPwnUIwUBI4XoUEMsFQcP1KFz2OCJBrkfhetAs/UB7FK5HLajxQEjhehSOa8lAFK5H4QJyOUFcj8L1uusIQSlcj8I3YANBUrgehWvCoUBSuB6FWU8IQaRwPQqbyfZA9ihcj7E3FkE9CtejeZsQQcP1KFxHMBNBMzMzM+5DKUHhehSuNUcGQWZmZmYGYsVAzczMTL4ZKUEK16NwPRWpQKRwPQqHJvNAZmZmZgbKwUDhehSuLuUVQZqZmZmZAZ1ApHA9Ckce7kD2KFyPWtfvQArXo3A9XsdA7FG4HqW3zkD2KFwPexMuQRSuR+HKJPdAPQrXozCUwECuR+F6FPupQArXo3BJafNApHA9Ckcy0EAUrkfhula3QB+F61G4hrRAFK5H4VBFDUFmZmZmplyxQD0K16NdQxNBH4XrUXjx0kAfhetRrmsaQRSuR+F6SHRAKVyPwtZ2EkFI4XoULsPCQArXo3Bdc89AAAAAAC4/EUEpXI/Ctfq3QIXrUbgeYONA16NwPToV6UBI4XoUkvrzQAAAAAAAucpAPQrXo6R2/kC4HoXreZ0XQUjhehQKfgNBXI/C9Qxi90CamZmZWb3LQB+F61G8e/JASOF6FG4S8kDhehSuP2AHQUjhehT0PBRBUrgehY/oAEFmZmZm9IcPQQAAAABcERNBSOF6FLqkHkGPwvUonJIRQUjhehTKKv9AH4XrUfjJw0Bcj8L1qIfIQB+F61GQyRlBhetRuP7Kx0DXo3A9ijq1QKRwPQpYwRFBCtejcEJrIkGF61H4zzMzQVK4HoVrGMVASOF6FM4xykCPwvUo3MShQI/C9Sg0GelA7FG4HgWAq0C4HoXrrY//QClcj8JrGg1BmpmZmUnfBEG4HoXr5f0CQWZmZmambsJAzczMzKxRzEDD9Shc1a8EQSlcj8K1r8NAUrgehQsTzECPwvUohH7zQFK4HoVfExZBMzMzM7Nrt0DD9Shc1a0WQR+F61E4N8FA9ihcjzbOEkEAAAAAgLKhQI/C9SiUyepAMzMzM5OFxEBxPQrXo7bJQOF6FK6HKPlAXI/C9Si9x0CPwvUozMnhQDMzMzOT0NxA16NwPdo/9kDhehSugHkWQSlcj8L1/IFACtejcJUuBkEzMzMzg6D2QEjhehROzstA7FG4Hi0D5UDNzMzMCtgOQdejcD26t/ZA16NwPdu4F0G4HoXrUdPCQKRwPQqX4cRAmpmZmaWw+UBxPQrXZaMUQQAAAAAA88hAexSuR2sUC0E9CtejCNoOQYXrUbgetY9AH4XrUXqfC0HsUbgeYxYEQfYoXI9jKiFBrkfhejb4D0EzMzMza3MPQQrXo3CNRftAUrgehVdIBEFcj8I1wsU2QZqZmZnxvP5AzczMzExdqEDXo3A9WnraQArXo3Db2QpBcT0K1y/MEkHsUbgevTL1QFyPwvW4zOJAcT0K16F4CEHsUbgevZ3sQM3MzMzMpLxAmpmZmYFvBkHsUbgeqfsOQa5H4XrUSM9AMzMzMxQsFkGF61G4IrkHQa5H4Xr1QSFBXI/C9ajd1kCamZmZB5cQQTMzMzNtrBBBMzMzM595BUE9CtejoBX+QIXrUbiqghlBuB6F6/GECUHNzMzMxhIGQeF6FK7n4M5AmpmZmS8DEEEUrkfh2hbJQM3MzMwZOSVBhetRuGDXAEHD9SjcPjwyQY/C9SiYYBBBcT0K1+NU1ECuR+F6NCLLQArXo3CdTtBAH4XrUcSG/0CPwvUoXCWNQJqZmZlJ899A9ihcj0i0EkEAAAAAYOoLQRSuR+E+YxRBw/UoHANGNEHD9ShcC6UHQeF6FK6zHPdAUrgehSPz/kCuR+F6dJvGQB+F61GQgOVACtejcP3WvEA9CtejQhoAQZqZmZk5tNBAKVyPwvViqUD2KFyPUofcQMP1KFyP0bJAKVyPwgUA60CamZmZWSCwQArXo3DRvP5AAAAAAHQQ/0ApXI/CKeTxQDMzMzNPE/tApHA9CpM69EAUrkdh+mQgQY/C9SjcIqtAXI/C9Yt2EUHsUbgenT0BQVyPwvXIysVA16NwPX4H/0AzMzMzU9j0QHE9CtdrIeZASOF6FKLe+UB7FK5HZ4oDQZqZmZnZ2bVAw/UoXN/01EBxPQrXIxOqQBSuR+GqPuRAexSuR5lM7EBxPQpX8G0rQRSuR+EGBfpApHA9CvdS5EBxPQrXxWINQUjhehSK9wJBpHA9Cs/UD0EzMzMzezTgQD0K16PJ3BBBj8L1KPSq9EA9CtejcGHFQClcj8I1irdApHA9Cpfv0kBcj8L1KL7EQPYoXI+ebxtBMzMzM7OIyUCuR+F6lHqqQClcj8L1t7VAhetRuE4E6UAzMzMz01kIQaRwPYr1+yNBw/UoXI9wt0DsUbgehV+nQKRwPQp3SsFArkfhepoRGEFxPQrXo8aPQD0K16NwqblAMzMzMwUmDUEUrkfhegqLQHsUrkc52BlBj8L1KNqRAUEfhetRgKMXQVK4HoXrdrlAhetRuD7DwUB7FK5HR6gBQR+F69HdcENB7FG4Hvb2FEHsUbgeJ08IQQAAAADwnO9AzczMzPWDKkHhehSuTOMSQTMzMzOWQxhB9ihcj6LKxkC4HoXrh5kDQQrXo3C1+fZAj8L1KFw0pkCkcD0KV+2zQClcj8KFN9BAMzMzMzNCsUBmZmZmxq/CQKRwPQq58QtBKVyPwnWh5EB7FK5HLL8WQdejcD18vBBBUrgehR0KBEGuR+F6lEiwQDMzMzPzNN1AuB6F62mVAUEzMzMzm1DoQPYoXI+A5xBB4XoUrpXsEUEK16NwMEYXQUjhehRyTfxAuB6F61ELtkDNzMzMVLMKQUjhehQuodFAZmZmZuYA00DhehSuR6e9QOF6FK7nmMlASOF6FDap6UCF61G4hAYNQR+F61GONhRBCtejcDXC8UBSuB6FKwa9QKRwPQonL9ZAMzMzM+ex/0ApXI/CAfULQXsUrkdhxqtAXI/C9aQh80CkcD0Kcz4DQexRuB6FiwhBw/UoXE/010AK16NwLY7YQOxRuB4tm/tAcT0K16PcmEAUrkfhG6AUQc3MzMyouPJAuB6F657pEkFI4XoUehL2QPYoXI9Ck69A9ihcjyhHFUEUrkfheqq/QOF6FK4OaSFBpHA9Csd71kAfhetRU5sdQeF6FK5Hh9xAuB6F63EjAEHsUbgeVSkSQcP1KFy7ExJB4XoUrodavkC4HoXrUUiLQGZmZmYGOuJAcT0K13+SCEH2KFyPPlTyQOF6FK5H7bdA9ihcjxcJFEHhehSuJz3AQEjhehTGSuFAPQrXo8EdFUGF61G4sAsHQY/C9ShcmYZAKVyPwpETDEGF61G4XqW7QDMzMzOU5CBBj8L1KDOJFkHD9Shc88P4QFK4HoXrdJBAZmZmZibsvEB7FK5HnX4FQexRuB7FHNxAMzMzMxMnwkBcj8L1xAH6QI/C9ShQOhFBCtejcJctDUFSuB6F01r7QBSuR+E6RbpAH4XrUfhWvkBI4XoUGGEDQVK4HoWzNvJAPQrXo/AN0UAAAAAA81sSQSlcj8I1W7xAUrgehX20D0GkcD0K2yT/QFyPwvVQSfBAMzMzM+uS40CamZmZ2cC5QGZmZmYu4PBAAAAAADDj4kA9CtejamcVQQAAAAD6eSFBcT0K1zet/0AzMzMzWQgLQdejcD0azwBBexSuR8cRCEGamZmZgzwUQXsUrke3lwZBmpmZmeFcCkHsUbgehfuBQD0K16NeowhBFK5H4VY38UDhehSui74DQa5H4Xpv9hZBH4XrUQbAEUGF61E4vzEiQVyPwvUA9vlASOF6FBa1H0EfhetR+Ky5QK5H4XrA7AJBXI/C9UjvFkEK16NQMGRAQbgeheuJfeBAexSuR+FnpEAAAAAAgIPAQB+F61H4rdRAhetRuJ6E0EAUrkfhwtDsQIXrUbiel8dA9ihcj5rE5UAzMzMz2SQuQbgeheth3dJAXI/C9Siwg0CPwvUoqjwAQVK4HoXDXAdBFK5H4eoZ/kBSuB6F6/KWQBSuR+GL5BtBzczMzCYxIEHNzMzMaOj8QJqZmZm5yeVAj8L1KBxC1kBSuB6FxaQDQcP1KFwPUqVA4XoUruel8ECamZmZ0RwVQQrXo3A9wKhApHA9Cn+T5EAUrkfhlIMOQdejcD034BRB16NwPQqrj0A9CtejZJ7+QKRwPQrnSNtAH4XrUWDDAEH2KFyPpNQLQY/C9Sj8ktVAH4XrUTxQ/UA9CtejsHG+QFK4HoVr2rdACtejcBnx8kCkcD0KBRMKQfYoXI9iJMVA7FG4HoUYokAAAAAAwI2+QIXrUbgGZv1ArkfhegDX+UCF61G4QVMTQRSuR+F0gA5B9ihcj+4T8EBcj8L1aDPAQLgeheuBD9VAPQrXo1DjA0GF61G4WhDxQM3MzMwgCgRBMzMzMyN4EEGkcD0KF8C4QM3MzMww3gpBXI/C9WgItEAAAAAAWPYKQQAAAMD0vzVBSOF6FM5ZxECPwvUovHj6QOxRuB51+NdAzczMzMzprUAfhetROLnfQOxRuB6FVq9APQrXo3Dle0CF61G4DCkEQZqZmZmZYqxA4XoUrktFDUHsUbgeQv0YQWZmZmZGPM9AKVyPwvW1rEBmZmZm5vauQArXoxDjdUBBmpmZmTnY1UBSuB6F67DpQAAAAACgfMVAMzMzM3th4UBxPQrXTYEEQeF6FK4H0sRApHA9CkeX2UAfhetRgKIeQbgehevRk8RApHA9CkwwGkHXo3C9oUlTQQrXo3BdeMdAKVyPwgEq+EDhehSuN0nXQHE9CterfOFAuB6F61FBmUAK16NwjVrRQJqZmZnJIPJACtejcD3wokCkcD0KpzcAQSlcj8KtyglB9ihcj2+5HEFxPQrXKToLQcP1KFwMdhNBSOF6FI7S6UDD9ShcXbwPQVK4HoWL18ZAhetRuMK+AkGkcD0KN4PWQD0K16MQSsdAcT0K14uo6kDNzMzMrNn8QMP1KFwlAQxBH4XrUaiN9EBxPQrXo4B1QD0K16Mw2NZAw/UoXJtH8EBcj8L1uKn2QDMzMzNnTgxB16NwPQpqnUDsUbgeVi8SQT0K16OAEOhAj8L1KFytkkDNzMzMzEWoQKRwPQr7WhRBrkfheh6oAUEK16Nw/RbBQOxRuB4OLhxBFK5HQVx4REEfhetRuLWrQFyPwvUsSAdBj8L1KNzg6EDXo3A9SkPuQDMzMzNFUhFBMzMzM1MQ20AzMzMzexnyQHsUrkdj0QVBuB6F69EloEAUrkfhWvHBQArXo3CC4RNBUrgehf9L8EC4HoXreULyQFyPwvWIBNZACtejcI1N1UBcj8L1p08TQeF6FK5lvQRBmpmZmamz7kA9CtejwKPSQDMzMzMhcwZBrkfhehTywkDsUbge6IoRQdejcD1arApBXI/C9Sg0b0AzMzMzE/DiQNejcD2KM7xAj8L1KCz0/0AfhetR+BG1QK5H4XoikQZBAAAAAMC1xUCuR+F6YkAYQZqZmZmvPgZBMzMzM+tu5kBmZmZm5mG+QLgehetl1xVBhetRuDIUAUEUrkfhHxkaQYXrUbg0zF1BAAAAAPzrCUFxPQrXOxvhQK5H4XorbxdB7FG4Hk1qDEFcj8L16Hy3QLgeheuBCOJAMzMzMwdRFkFxPQrXs4fSQLgehesxUMBAmpmZmQXOD0HXo3A9BvILQbgeheuBWQFBexSuR6cUDUGkcD0Kn+38QNejcD2KbMlAFK5H4doWwEAzMzMzk9LJQK5H4XpUSr9A9ihcj8KwxEDXo3A9CouRQOF6FK6XBtJACtejcHNRDEEfhetRrpgKQexRuB5FMcpAj8L1KDCYEUGuR+F6bScYQQrXo3DNjthAMzMzM/O0skAUrkfh+sG+QM3MzMzMwMBAj8L1KFCr8kAfhetRFJ78QM3MzMwMLLtACtejcK1O5kDNzMzMSLEeQY/C9ShmIQpB7FG4HmW+20DhehSuR/GaQIXrUbi+au1ASOF6FCaK5UCF61G4HhDOQB+F61E4Mb9Aw/UoXEFmFUE9CtejABbQQDMzMzPtQwNBmpmZmZnRlEB7FK5HYWPcQPYoXI9K5ulA9ihcjzy0CkEK16Nw/T/xQB+F61HaKhBBKVyPwjHj8kA9CtejANDTQPYoXI+oPQNBpHA9CtfJp0BmZmZmMnQjQVK4HoUDcBVBXI/C9SgKl0DXo3A9Cs6QQClcj8Ll/+lArkfhepTEo0ApXI/CzUzxQKRwPQrtvQlBpHA9CrdYzkAfhetRAPDgQClcj8L1ItBAuB6F6+YvHEGPwvUoWMsGQdejcD0q98dAUrgehSsMvkCuR+F61EbSQLgehesxUsNAUrgehRSnEEHXo3A9aTYQQXsUrke/IxFBKVyPwsWd80AfhetRWPztQJqZmZmZkZFAPQrXozArtEBmZmZmplS8QEjhehTcgRdBj8L1KFyhykAUrkfhWsHKQM3MzMy2iwhBPQrXo/Coy0AAAAAAwH3sQOF6FK6JFwVBexSuRwE1x0AAAAAA2GUCQUjhehSui65A7FG4HoX+sECuR+F6FIfAQOF6FK7ZEgxBXI/C9aAmFUEAAAAA4DLcQOF6FK4His5ASOF6FNYmFUGamZmZOYAJQWZmZmYL8BJBw/UoXI9quECuR+F6FIPmQI/C9Sic5vFAcT0K11+T/EDNzMzMAR8WQa5H4VrH3UBBw/UoXGOv9UBcj8L1qOe/QGZmZmYVxBFBZmZmZnZI+UApXI/C9kcQQWZmZmbmmMVAzczMzKwm3UBxPQrXz7r0QD0K16NwNMtAZmZmZqbtvUDNzMzMAtUBQfYoXI9irNZAhetRuMXSFUHhehSuth0dQeF6FK4w3RlBhetRuAYR7ECamZmZtS/zQJqZmZklrhJBw/UoXD9W70ApXI/CtJ4nQUjhehSGvvtAUrgehRcmE0GkcD0KG5QQQcP1KFzPEr9AhetRuP7I2UCPwvUokK72QFK4HoXrCdtAMzMzM3P7skAAAAAA6OsTQeF6FK5LwQpB7FG4HscWGEFxPQrXA+TUQAAAAADQ4tVAuB6F649kGEEAAAAA4p4FQVK4HoWvjhFBPQrXo7BOyEB7FK5HoV61QFyPwvVWSgBBexSuRxHH6UDXo3A9TG4CQXsUrkcplulA7FG4HhHk+EAK16NwCTz2QOF6FK7nU8dApHA9imOrMkEAAAAA3ID0QArXo3AJNAxBMzMzM6OE3EBxPQrXI8G2QOF6FK5HqZBAuB6F6/EHz0BI4XoUKkH0QFyPwvUzNBNBAAAAAFSPC0HsUbgeZc3RQK5H4Xr7jSBBCtejcD1flUBxPQrXe8YJQfYoXI8CPsFAw/UoXE+rsEDhehSu4/7yQD0K16M4hvNArkfhetS07kAK16NwdTz2QEjhehTWJwZBuB6F61WG8UDXo3A96iUPQfYoXI+qkO1AKVyPwtWwxECuR+F6BMsFQUjhehSun3dACtejcJ2Fz0BI4XoUTm/rQKRwPQrxkwFBrkfhegj19UCkcD0KsdgLQc3MzMw0DQlBuB6F6/k3FEGF61G4RGQIQcP1KFyPaoxAUrgehYvEx0CF61G4vE0FQcP1KFyNHQlBZmZmZi5f4UA9Ctej4GbuQClcj8LZAR1BrkfhekjtB0HsUbgeBdi5QFK4HoUbF+1A4XoUrkd+qUCuR+F6KE4MQdejcD0mpghBrkfheuQJ00CkcD0Ke+UNQR+F61FIiQFBcT0K17leC0EAAAAAFGELQWZmZmbmnLNAPQrXo9KAAkHNzMzMInALQVyPwvX7lh5B4XoUrsc6uEDD9ShcB9L2QM3MzMzMBb1A16NwPVfDHEHXo3A9+sHWQFyPwvWIp8pASOF6FG4mzUBSuB4FDkAlQVK4HoW1zQ5BZmZmZiZGyEAfhetReCfCQFyPwvVoVsZAzczMzApzCUGkcD2KU5ouQa5H4br4pTZBSOF6FN4S0kAfhetReB60QDMzMzOjp9dAZmZmZi747kBcj8L1TikCQRSuR+ES+vxAH4XrUXhPEUEzMzMzs1ndQKRwPQo73QRBSOF6FDbCAUH2KFyP+inyQOxRuB4FnblA7FG4HjtpAEFmZmZmJrcfQQAAAACArqVAexSuR2GsrUDXo3A98s79QIXrUbjIgQ9BPQrXo3AbokBcj8L1lPcAQWZmZmYmv8lAH4XrUSgb3UBSuB6FTXwOQSlcj8LFyNBAhetRuO6q00AzMzMzPWsGQZqZmZlZYvZAXI/C9Sgd9kBcj8L1OEbSQB+F61EIB+hAj8L1KDyWFkF7FK5Hc1QGQbgeheshJP1A9ihcj7o5FEEpXI/CPzoAQeF6FK7fl+NAH4XrUfj8zkDNzMzMi2waQeF6FK4bUf1APQrXo1As00AfhetRsBb6QOxRuB4FkbhASOF6FEIJ9EAfhetReGO+QGZmZmaLUyNBuB6F6299E0HhehSuvy4PQXsUrkfjdwJBw/UoXOlwD0GuR+F6VP3KQHE9CtfnfBBBUrgehclWD0FmZmZmeccVQVK4HoVregVBMzMzM/EdAkHD9Shc/DIRQXE9CtfbEBVBMzMzMzPRtUAUrkfh6nnRQM3MzMw8Be9Arkfheg7eEUFcj8L12PnSQIXrUbh2XvNAUrgehXfXCEFmZmZmcKIUQWZmZmYuZuFA4XoUrgdk5kDsUbge/e7jQFK4HoVPyQRB4XoUrreJ4EBcj8L1TUoRQXsUrkfhmKFAhetRuKbk40BI4XoUbnv6QPYoXI9ufvZACtejcMXf40DXo3A9inLHQArXo3ALKyJBmpmZmSHR7UAfhetR5B0CQY/C9ShcBplAuB6F6zFpCEGF61G4HsWIQHE9CtfbMu1A16NwPYrUpEBcj8L1qOnFQHsUrkehLNBAPQrXo0FnGEFxPQrXg3sAQa5H4XoUhoZApHA9ioXBI0HD9ShcFzcJQc3MzMwcIP1ApHA9CpU8AEFxPQrXf2vyQI/C9SgKpw1BrkfhejT0zkCkcD0K33EAQT0K16O9yBtBzczMTJbhL0EfhetROE7EQKRwPQpDIPxAexSuR6HktEBI4XoULgO9QArXo3DtN9lA7FG4HkgyGUFxPQrXUwTXQLgehWuNiyVBmpmZmTlD00DD9ShcN7P8QLgeheubYwZBj8L1KPpQAkE9CtejNhsCQSlcj8IJghJBSOF6FF457UBxPQrXMz3tQFK4HoUXAAZBpHA9CvdV0EApXI/C9UaxQLgehevd8QlBcT0K10N02kDhehQu5OsyQfYoXI+S6NBACtejcH0htEBI4XoUUgb1QFK4HoVrTbRAMzMzM6mnFkHhehSu6GMYQcP1KFw/99RAmpmZmflry0BmZmZmvtjtQB+F61HIfO5ApHA9ClfrokAAAAAAKLP4QM3MzMwAjftAPQrXo8uHEUFmZmZmZq7OQMP1KFyPlrdA7FG4HqU5w0BSuB6F60KqQFK4HoVtZwlB7FG4HnXO60DD9ShceMcWQTMzMzOzFPJAFK5H4bp7t0AAAAAA4DHAQOF6FK5HdaRA16NwPS/9FEFI4XoULv26QOF6FK6EsR9Bj8L1KFQJDkGamZmZWJMdQXE9CtdjhcRAmpmZmZnLtkDNzMzMla8QQeF6FK5nCOVAXI/C9dhH6EBxPQrXMzUOQZqZmZmZ0sJArkfheqzH6kAAAAAA3mQCQcP1KFwMWxBBj8L1KPBb+UAUrkfhKjHlQNejcD0uaRtBH4XrUUiW4kDsUbgeBTiqQOF6FK6H7stAw/UoXG+LyUDNzMzMsnABQR+F63EqllxBcT0K16OAW0CamZmZWYbVQOxRuB6F27ZA4XoUrlW+AEEAAAAAgMHDQKRwPQqn6u9ASOF6FB4S5UAAAAAAgCTEQAAAAAC0pgZBUrgehWvUu0CuR+F6hNv6QDMzMzMTFcNA4XoUrkdRmEDXo3A9eKkIQVK4HoXrHb1Aj8L1KAwW0EAAAAAAACBBQFyPwvWok9BAj8L1KMgJ9kCuR+F6MmsIQVK4HoXr5JxAZmZmZuauoUAUrkfh8gP4QK5H4XoUH5xACtejcEoUGUFmZmZmpk/gQB+F69GfYCdBj8L1KAe7E0E9Ctejnk0CQa5H4XoSxAJBPQrXo3BtUkA9Ctejhm8PQbgehetRSJ5A16NwPSpi2EAAAAAA2d8SQcP1KFwvetJAzczMzMxQ50CPwvUoTCHcQOF6FC5eMSBBzczMzJxJ20BxPQrXS+/kQOF6FK5H5b5AAAAAAKe/FUEzMzMzGxD9QArXo3CNdgZBmpmZmZkkpEAK16NwHb/YQArXo3Cd9uBAAAAAAIBCuUDXo3A9dF0UQSlcj8LByvFAhetRuH785ECPwvUoVRYRQTMzMzNb5+VAUrgehZvU4EBmZmZmRqDfQEjhehTObwNBrkfhesotAUFcj8L1kLcVQdejcD0qv8xAAAAAADhsHUF7FK5HUNUXQaRwPQp7ggZBuB6F65HVtUBmZmZmzr7pQK5H4Rq+30BB9ihcjx+eE0EUrkfhut6/QFK4HoXrXMdA9ihcj6KFyEDsUbgeZe3FQAAAAAAAx51ASOF6FKGzF0FSuB6F++bSQAAAAAAAgGhAFK5H4az5D0GuR+F61NL8QHsUrkdhcvxAuB6F613j9EDhehSu56HFQArXo3A98nhArkfhelQv/UAAAAAAZKn2QHE9Ctf7ROxAH4XrURiR10DNzMzMRq8GQdejcD1CuxlB7FG4HmN1EEH2KFyPwm1kQHsUrkfhwcVAZmZmZij7BEGPwvUoHJnDQJqZmZmmOxRBH4XrUbizlkAAAAAAjMgPQXE9Ctdp1RFBFK5H4e65A0HNzMzM+ywQQT0K16P47/9AhetRuEpCD0HNzMzMzJXPQBSuR+GEFw5BhetRuATIGEFxPQrXl4IYQRSuR+H6V8dAj8L1KJwAtkBxPQrXeCAeQRSuR+Gq1d5AUrgehevFm0BI4XoUBjLsQB+F61E4ScNA16NwPf5Z8UCuR+F6pAXeQOF6FK4HJ7BAKVyPwvU45UAUrkfhekHDQBSuR+FCE/RAMzMzM9PK0UCPwvUoWKIUQbgehesYJBFB16NwPYqDs0DXo3A9yuWyQNejcD0+/gdBUrgehesclUBI4XoUnonvQHsUrkchTrpA9ihcj7o5CUFcj8L1aAm0QOxRuB5NJOZAMzMzM8tTB0G4HoXrkSK3QHE9CteLUPRAUrgehdR5EkEAAAAAyEgbQRSuR+Hm0wJBcT0K16Ncq0BI4XoUrnC0QBSuR+FK8xdBw/UoXO8h2ED2KFyPEq/WQAAAAABoERVBSOF6FJbs80B7FK5HYUmtQBSuR+GyZuVAH4XrUZpTCUG4HoXr9dwJQQAAAACv9SJBXI/C9fRWGkEK16Nw3T/EQEjhehTPJRhBpHA9CheRyUBmZmZmUhcKQeF6FK5lsA5B7FG4HmUp1EA9Ctejdk8EQQrXo3B9ELJAzczMzLbeA0EpXI/C7YITQexRuB6ThQBBuB6F60Eg5UC4HoXrOB8RQWZmZmZykxlBH4XrURIyBEEUrkfhPg//QD0K16MwB7BA7FG4fgvuSUEzMzMz/cQsQWZmZmaG3ctAzczMzNp2CEGamZmZOejaQPYoXI+y7t5AexSuR/AmEEHD9Shcj4iZQPYoXI8CgspAKVyPwjXdtEApXI/CBcrYQB+F61G4hs5A7FG4HgoFEUFI4XoUzKcMQZqZmZlZCLFAAAAAAACkvUApXI/CZVrVQNejcD1avOJAAAAAAJCj1kCamZmZtY8VQYXrUbhe1b5AFK5H4RYS9EDNzMzMzJSSQFK4HoVRzg1BXI/C9SiJqEAK16NwszQUQa5H4XqUCK1A9ihcjxLV0ECkcD0K923CQM3MzMwmdgtB16NwPdrS0EDXo3A9KiHGQArXo3BNbtBAuB6F61FjmEDNzMzMUFsUQT0K16Pw3qxACtejcD1DwECkcD0KV+2uQMP1KFxPU+BAuB6F68l0/0DD9Shc94wGQQAAAAAwPdFA4XoUrpcA0EBSuB6FqwTBQEjhehT+PQNB7FG4Hg/WK0EK16Nwn/EJQXsUrkctaQVB7FG4Hr1e9EBI4XoUkqgCQY/C9SgU2OBA9ihcj+YMCkFxPQrX44zDQM3MzGyWPVVBzczMzIxutEDXo3A9Cqq1QArXo3C9BqpAZmZmZq7GAkGuR+F6FLeUQMP1KKwwNl9BPQrXo7D210BxPQrXo5e6QAAAAADwtdNAXI/C9RzZBEF7FK5H4UCbQD0K16MQsM9AhetRuARoAEFcj8L1OCn0QK5H4XqYSQlBXI/C9UNtFEE9CtejUNLGQMP1KNwNCChB4XoUrk9k5kDD9ShcS2EQQaRwPQrXXKxAmpmZmTEW50D2KFyP9b8UQTMzMzODAOFA9ihcj8jTA0EUrkfh4vz6QAAAAAAmXwZBcT0K1+N92UBcj8L1MlkBQa5H4XrSGApBFK5HEQcrU0HXo3A9aGwBQcP1KFyPGapAexSuR9nt9UD2KFyPIqfLQJqZmZlDgxBBUrgehSum9UAUrkfhgp3sQIXrUbg+bstAw/UoXK/w00AK16NwXQ3JQNejcD3A6wZBUrgehWY0FUHXo3A9Suq8QEjhehRS0wJBexSuRwFrEEGF61G4/tDHQHE9CtejB7xAFK5H4c73AUGPwvUo2A0IQbgeheuHgQNB16Nw/QUuN0EfhevRdPsnQcP1KFzO1iJBcT0K17hHKUEfhetR9gQKQc3MzMwM+t9Aw/UoXGczCkEfhetRoAfrQIXrUbieOahA16NwPbYx/EC4HoXrUQ6SQK5H4XoYc/5AFK5H4bpHAUHXo3A9TkH3QArXo3D7pxZBuB6F6wuvA0EpXI/CPJoTQbgehevRLvFAH4XrUWgD1kA9Ctej+Dr0QAAAAADUhvpAAAAAAACgT0DsUbgeRYbOQIXrUbjCbQZBFK5H4frOtEC4HoXr0T25QJqZmZkpb+xApHA9CseD40ApXI/CBd3RQPYoXI+CCsVACtejcAzLEUFcj8L1wsMVQT0K1yPQoCFBUrgehSv0tEDNzMzMzMKXQBSuR+EKD95AZmZmZlMHEUHD9ShcSB0RQT0K16OQt8VAexSuR+E5pkBxPQrXow2fQOxRuB4hXhFBPQrXo/Dkt0CPwvUoOC0GQRSuR+FI9QdBj8L1KH45BkHNzMzMXCvaQOxRuB4zrw1BPQrXo+UUF0GamZmZyaTZQMP1KFzPorZA4XoUrpd20kDXo3A9+jYBQcP1KBw4dzxBrkfhetRHukCamZmZidfjQMP1KFxzjhtBAAAAAA7pAEHsUbgebWX9QHE9Cte7PwZBmpmZme2Z8EDXo3C9VIUsQQAAAAA27wJBw/UoXI9/lUCPwvUoHHfxQIXrUbjebcRAhetRuFi7EkH2KFyPImTXQM3MzMw8eNlA9ihcj0JiqUDsUbges7sGQcP1KFyJFAhBw/UoXPSTHkEUrkfhOqXvQM3MzMxsedRASOF6FPaJD0HNzMzMTM65QM3MzMwsTtBAw/UoXAEiA0GkcD0Kr0HlQGZmZmZXwxBBuB6F68GI+kCamZmZKZnTQK5H4XqIvf9ACtejcG3QBEFxPQrXSQAEQQAAAAAcDPlAH4XrUXSCF0HNzMzMzMydQFK4HoV7otFAUrgehYvVyUAfhetRON66QAAAAAD6xwlBexSuR+GdDkGkcD0Klwq4QOxRuB4FYuVA16NwPYqOu0BxPQrXo1KnQM3MzMxUJuNAUrgehbsC40CamZmZevEbQUjhepRLyydBFK5H4SymBUEUrkfhBsQVQeF6FK6xMAdB7FG4HmngCEFmZmZmZuyEQNejcD0ywghB4XoUrpch0UA9CtcjIywiQUjhehTmc/RAuB6Fq85eP0F7FK5HoRy5QIXrUbhWc/lArkfheoVkE0HD9ShcOBMWQeF6FK7HtvNA9ihcj8ISmEB7FK5Hvab+QNejcD3wDhBBrkfhepQFt0BxPQrXqZkQQRSuR+EakN1A9ihcj14U/UBI4XoU9tLiQFyPwvWOFRNBXI/C9WjdwUC4HoXryRoAQQAAAAA0OPdA7FG4HnWV3UD2KFyP6+8ZQVyPwvVolLZA7FG4HgWspkCamZmZcS7lQHsUrkeRUtxA7FG4HsKAGUHhehSuqzwBQR+F61FGlgJBcT0K14PzzkCuR+F67AjoQDMzMzPzRchAmpmZmVlQx0CPwvUolCz/QEjhehSUmyBBUrgehRvp50A9Ctej8AKgQI/C9ShcHr5AKVyPwnWooUB7FK7HBJkoQc3MzMzY+/tA7FG4HkWt/kB7FK5HsxsMQaRwPQpXmOZAj8L1KBwbyUCPwvUoLFXiQOxRuB7NuvFApHA9CgMrBkFSuB6Fq+bJQM3MzMxMYatAzczMzCw9/EC4HoXr0dbsQGZmZmZasflAKVyPwoX74kAUrkfhkvfmQLgehetfdgFBexSuRzC6FEFxPQrX5ZMNQYXrUbjetbxAj8L1KOQI40BSuB6Fm5TxQNejcD3OM/BAhetRuIK0C0EfhetR1bEnQQAAAACIxuFArkfhejwFD0FI4XoU1mLwQK5H4XoUB8RA9ihcjxZL9UAfhetRuMOfQK5H4XpUiLVAcT0K1wOB6EDhehSuProaQeF6FK49tgdBexSuRzUrBEHXo3A94yIXQeF6FK7HOrpAPQrXoyoVBkGuR+F6FKahQOxRuB51w99AAAAAAOBF7UC4HoXr8RDeQOxRuB5UKR9BpHA9CpcGu0BI4XoU/jzTQArXo3CFG+FA16NwPbq1AEHhehSuL3z8QFyPwvWov9lAzczMzAycw0CamZmZOe3ZQOxRuB6ONhJBFK5H4brXv0CuR+F6sYMTQeF6FK7HA7xA4XoUrguUFEGamZmZbwMFQZqZmZn7MwZB16NwPcokEkEUrkfhuoDFQFK4HoWVxgRBpHA9CtcQE0E9CtejEODuQD0K16NobwpBuB6F6wVaBkEK16OwokpAQbgehet5wQdBpHA9Cju+DkGamZmZGTn2QGZmZma6cfRAmpmZmZmCp0CamZmZKSDSQM3MzMyoLR5BzczMzMwdwUCuR+F6dHHAQIXrUbge/5xAexSuR7FA30AK16NwPaKQQKRwPQoD8vBAzczMzLyF6EBI4XoUgssCQeF6FK4HiN9A16NwPWpm00AAAAAA2qMTQa5H4Xps8hJBw/UoXNt3HEFxPQrXhUwOQQrXo3DR0A9Bw/UoXN1tGEHsUbgedUj8QNejcD2nIh5B16NwPcZhBEEfhetRuOPGQAAAAADAm7tAw/UoXGfsA0GF61G4NnvgQHsUrkfJAQ1BpHA9CmfJ20AK16NwvQa7QIXrUbh2RvdAzczMzDwp1EAUrkfhWnHBQKRwPQqCZhpBH4XrUZRV8kBSuB6FEQAIQc3MzMyM2uhAUrgehSsFx0AAAAAAl1MUQRSuR+H6vrlAXI/CdXHpQkEpXI/CHfn2QBSuR+HqStRAexSuR4pEFUGamZmZub7CQAAAAACGkQRBexSuR4GI0UDhehSuE/oQQQAAAAAgPwFBMzMzMzMhh0C4HoXrgRHnQOxRuB6FkK5A9ihcj1KxCkFmZmZmhkn3QKRwPQr0Dx5BAAAAAPn4F0EzMzMzYxz/QIXrUbgeNJRArkfhenRb2UCuR+F6ZogHQWZmZmYyaf5AcT0K11Mm1kDNzMzMLAjlQNejcD3aWthAAAAAALBW40BSuB6FYyzvQClcj8Kq4xRBPQrXoyLzBEGPwvUozDveQK5H4Xq0k8RApHA9CmdX3EAAAACAddgiQWZmZmbGCMFAAAAAAMARt0A9CtejcPrGQD0K16PYVeFApHA9ChMDCEGPwvUoHHT5QOxRuB518dRA4XoUrhcVGEHNzMzMzJqwQOF6FK7n58lAhetRuJ6dxECkcD0KF3zMQHE9CtctRwRB16NwPaJWBEFxPQrXk9/YQB+F61E4HcJAKVyPwvW81ED2KFyP7IQLQXsUrkfhkb1A16NwPYqK1kDhehSu19DqQB+F61H4c99AKVyPwnUsyECuR+F6uiULQQrXo3DNuP9AzczMzC7lDkEzMzMzbVwTQQrXo3BtDdNAzczMzMxlz0CamZmZGSzTQD0K16Mw2tpAAAAA4AonREFcj8J1AgoiQUjhehTFQhJB16NwfQRLMUEzMzMzI3T3QFK4HoULitVA4XoUrtpKEEFSuB6F+1frQClcj8J/mQ5BUrgehZuG1UCPwvUofHvBQKRwPaoAkEhBj8L1KFzRwkBxPQrX/3P9QClcj8IZnRZBSOF61KnpMEHsUbge5agAQXsUrkcxIdxAw/UoXBMDF0HhehSu537NQJqZmZl5K8RACtejcA0e3UBcj8L1FXAVQZqZmZl5o9hAH4XrUbj2tEBcj8L1DrgCQRSuR+H6ubZAFK5H4bppvUDsUbgeAb35QFyPwvWoc6JA16NwPYo0z0AfhetRUC/oQIXrUbj6rPNAuB6F63cuCUFI4XoUrl+XQOxRuB59dgpBexSuR7NXCkEAAAAAfkMGQR+F61G4vIBAexSuR2E6tEBxPQpX1JE6QYXrUbikBRFBcT0K18O8C0GF61G4npe3QMP1KFy//9lAuB6F6wGE2EAK16NwhZ7iQI/C9SgHRxJBXI/C9Tw6+EBI4XoUNaIfQR+F61E2JApBFK5H4XVkKEHsUbge+YDwQGZmZmZmCZdA16NwPUTFAUFmZmZmdmXxQKRwPQpxaQNB7FG4HrX/7UB7FK5HQczLQHsUrkc9SgFBUrgehQb8J0GF61G4drP9QKRwPQpftApBmpmZmfcDCUHNzMwMmDlAQR+F61G4A7RAmpmZmck9BEGPwvUoik8AQc3MzMwM0rJAMzMzM6HaEEGkcD0K8fgNQZqZmZmZKOZAzczMzLRI70DNzMzMPAoLQcP1KFwPN6ZAcT0K1+Nvs0BSuB6FY9L2QIXrUbgGmeBAXI/C9axQ9EBSuB6Fw0/pQOxRuB7L1g5Bw/UoXK9n1kAUrkfh8o3gQArXo3BdWMdAUrgehTfm8UAfhetRuNCJQLgehevpK+5A9ihcj3ZR/UAfhetRvObwQNejcD3S8OdAUrgehQ38AUFI4XoU3prSQBSuR+Hms/5A9ihcj/z6G0EK16NwvX28QEjhehS2fOBAw/UoXC+Tx0D2KFyPwnaSQHE9CtcX9RFBuB6F6xFPukCuR+F63IPmQOxRuB5RxwhBPQrXo3Dx0UBI4XoUhCQPQVyPwvWoX9RAXI/C9ejIy0CkcD0KU7AHQVyPwvWonaBAexSuR6EdsUBxPQrXk97XQArXo3C9E69AFK5HobSsOEGkcD0KjYQJQc3MzMxsatFA9ihcj3VnEEFI4XoU9lDsQMP1KFxDo/JAj8L1qKpTJUGPwvUokMD7QHE9CjdSwkRBcT0K15kdAUGamZmZKT/qQOxRuB6F2tZArkfhelQww0A9CtejcA7DQKRwPQqjjPVAmpmZmRdlB0FSuB6FO0XWQAAAAAAA1L1AAAAAAAC+00DD9Shc+ZUBQVK4HoVrW79AexSuR5kwAUGF61G4/lzyQK5H4fpRayFBrkfhetRAy0AUrkfh+lWuQPYoXI917hBBpHA9CrOV+UBcj8L1qN3JQAAAAADASLBAKVyPwnR2FEG4HoXr10URQYXrUbge7s9APQrXo+TDAEGuR+F6HBPhQFyPwvWAwelAzczMzMyAmUDNzMzMvKvuQM3MzEyyEi9BXI/C9WjAv0C4HoXryXAEQWZmZmbu9+dAw/UoXPvYBkEpXI/CtSazQDMzMzNDhfNAuB6F61FFwkDD9ShcD9CsQHE9CtcjXLNAAAAAACzFBUHhehSuPyQsQXsUrkf1KfxApHA9Ci9i7kCamZmZ/2cBQa5H4XqaVwpBSOF6FPaL70CamZmZGQSzQIXrUbjuZwFBXI/C9Thi30Bcj8L1qNXEQFK4HoXz1edApHA9CtermEAfhetR9noPQY/C9SgId/FAmpmZmQkO1UCuR+F69EHJQAAAAADApMFASOF6FI6kyECkcD0Kn5L7QK5H4XqgxvhAXI/C9Vjp7EAfhetRIPUXQfYoXI/WPPBAmpmZmVCHF0HNzMzMWPYeQVyPwvXYPdlAuB6F63lU/kBmZmbmlMohQVK4HoUDWyNBH4XrUYgdCkEAAAAAwGDSQM3MzMxsVwNBw/UoXCvGDkEK16NwbeHQQAAAAABYOedA16NwPQoyukBI4XoUUJABQQAAAAAAJItAexSuR9NyGEEUrkfh2uckQWZmZuamhi5BFK5H4WqW30ApXI/C4S7xQBSuR+FNpxxBUrgehc8j80C4HoXrOtYSQSlcj8J1oMRAKVyPwquICUEzMzMzA03bQArXo3D9kc1AcT0K19HrAEEK16Nw/fCxQArXo3ANL9NAUrgehWs4ykC4HoXrsZHGQFyPwvXov9VA9ihcj8J1sUC4HoXrVRH/QD0K16PwzQVBrkfhelQ7tUDD9Shcz6bAQBSuR+HEoQJBmpmZmRIbI0GkcD0KV1rJQAAAAACAybpAPQrXo4pMC0EAAAAAgJKyQGZmZmbOJgtBUrgehWvko0BI4XoUrj6qQOF6FK5HIX5AzczMzD5ZD0FI4XoUfoXmQArXo3DVX+xASOF6FO53vUCkcD0KB6rVQEjhehQaDwVB7FG4HoVrg0CkcD0KFxvMQM3MzMzosP1AexSuR4V/8ECuR+F61Ge3QJqZmZmbuwVBXI/C9VDa/0AUrkfhemxnQHsUrkdh7bBAcT0K18sKCkHNzMzMzDm4QOxRuB6m7hFBexSuR3UNAkFxPQrXwzrnQOxRuB6FIbVAmpmZmW128UAK16PQmR1BQVyPwvXEFflAuB6F6/EqwED2KFyPwrOUQFK4HoX7BuNA4XoUrkfUo0DhehSuIwgSQSlcj2KXXkBBFK5H4Y6YIEHD9ShcT/7NQJqZmZn7XBRBCtejcAUv9EAfhetRE7wQQexRuB5LhgpBAAAAAJ84GkHsUbgehe+cQJqZmRkVHyNBSOF6FK4VhUB7FK5HNBMUQQrXo3CFvuBASOF6FEp1+UCkcD0KK0P5QOxRuB4tfBBB9ihcj4L/t0C4HoXrT/kPQSlcj8L9ceFASOF6FK4/ZUB7FK5H4SO1QLgehev7+ARBXI/C9RqUAkEpXI/CFfHLQJqZmZlxUAFBSOF6FC55qECkcD0K1+2jQEjhehSu92dAj8L1KEwOCEG4HoXrKZbxQFK4HoVrvs5APQrXowxpAkFI4XoUloX7QDMzMzMzZadAH4XrUWNgEUHXo3A9qrELQXE9CtcIwxFBSOF6FK5FtUCPwvUoHEcDQTMzM7OdnCJBXI/C9Q7sAEEpXI/CtaLxQBSuR+F24AtBUrgehWuIokAK16Nw3TzUQLgehet1uPxA4XoUrqe/yEDD9SgceRg2Qc3MzMzAVgNBZmZmZmZ7nUD2KFyPRNECQWZmZma2YOxAFK5H4V6d8ECPwvUoXO2FQEjhehQaOhBBKVyPwhl7EUGamZmZDXX6QB+F61H4ku9AcT0K1zPs0EBI4XoU5rLgQJqZmZkBbQZBmpmZmemG0EB7FK5H060DQfYoXI+edPxAhetRuHIL/0C4HoXrOQgJQaRwPYq1RCBBw/UoXC971EBcj8L1aHvzQHE9CtcP9QNBj8L1KCje/kBmZmZmZkCbQNejcD3YBAZBpHA9CtclvUAUrkfhAsXnQLgehespQPhAUrgehYsHxECF61G4TJ4FQRSuR+EA/wFBrkfhekEeFUFmZmZmFjzpQClcj8J12qpA16NwPYpgtEBxPQrXIwHpQOxRuB5lFcZAAAAAAFlJHkHD9ShcjcwBQYXrUbiua/hAMzMzM1+fA0GPwvUoRN8rQTMzMzOrxPJAhetRuEbG4EBxPQrXwrQUQTMzMzPRGBRBw/UoXL+j10BxPQrX49oNQWZmZmYq2/dAhetRuG42/0CamZmZ2ZW7QIXrUbiO4tNAw/UoXIee+EAzMzMzI9fdQNejcD08CwVBCtejcHFDD0HD9Shcb7TbQK5H4XoUr7VArkfhenCIDkFSuB6Fq4jBQEjhehRYKBJBCtejcE1yB0FmZmZmhOUNQT0K16Pkig1BZmZmZnIy+0AzMzMze3PqQJqZmZn5dulAUrgeheszr0DNzMzMPBP9QB+F61GQoAdBmpmZmTWs8kAAAAAAAOKVQI/C9Sg8MchASOF6FHYx4kAzMzMzY6cBQY/C9SgyfwBB4XoUrlbZFkEK16Nw83YBQTMzMzP9exFBMzMzM+P47kAUrkfhSovTQB+F61GYU8pASOF6FK5mokBmZmZm4nATQaRwPQrXpqZAFK5H4Tomy0CuR+F6rQ4UQQrXo3C9Zg9BzczMzCzw9UD2KFyPAvDlQPYoXI+igOhASOF6FK49lUCPwvUokAADQTMzM7NvGCVBUrgehbM+7UDsUbgeHpQWQVyPwvVQPQZBKVyPwnUsukAzMzMzJb0BQR+F61HTQRpBhetRuB7Ts0BI4XoU2o4GQVyPwvXMHghB16NwPUoAtEAAAAAAnh0GQc3MzMy8VgdBzczMzKR66kDsUbgexWu+QPYoXI/yEu5AcT0K13NaE0EpXI/Cc4IJQTMzMzOxugtBpHA9Cj/z50CuR+F6WBv9QI/C9Sh8McBAPQrXo7maEkGF61G4fkPIQArXo3DvZQZBpHA9CqBiE0GuR+F6VGbEQMP1KFzlSwVBUrgehTl3EUEzMzMznfMIQY/C9SjcFqtAhetRuN5vuUCkcD0K51XzQM3MzMzkG/dAKVyPwls9B0EK16NwYUoCQXE9Ctf7D/tAexSuR5ke4kAAAAAAgDDDQLgehevZ7vBAMzMzM7Pk1kB7FK5H9X/7QClcj8LfAQpBCtejcD05v0Bcj8L1KK2pQK5H4XoUffZAj8L1KJxEwEBSuB6F637lQEjhepSYcSNBexSuR7HR4EBmZmZmrfwRQZqZmZkTzglBmpmZmXkk90B7FK5HMXnXQAAAAACYl/RAMzMzM7OP00D2KFyPKlkFQY/C9Sj8GM5AhetRuO5R2EBcj8L1bpAMQY/C9Sh8XgZB7FG4Hvn+F0Fcj8L1aPe6QEjhehSOm9tAcT0K1587+EAfhetR+A3NQPYoXI8GUwVBKVyPwhWpAkGkcD0Kd7DzQOF6FK5V5xxBj8L1KCqrAkHXo3A9SsCxQJqZmRlvwy5BH4XrUdSE9EBI4XoU3EkcQYXrUbhOwdFAH4XrUQDj40C4HoXr39gOQaRwPQpXQhJBuB6F6w2ZCUEAAAAAZL3+QMP1KFwf2fFAw/UoXI9omUAzMzMzgRsRQexRuB6FAaRArkfheo7zEUH2KFyPBoL2QOxRuB7FqrZAKVyPwsMkEUFxPQrXIzOkQDMzMzN50gdBuB6F67GqwEBI4XoUIqwBQRSuR+H6wrhArkfhesjCHEFSuB6FKyC7QPYoXI+UGwlBexSuRwEHzkAfhetR+GC8QGZmZmaoyQRBXI/C9RAl+kCF61G4DjfVQKRwPQoXN79AzczMzJj88ECkcD0KLZ4EQc3MzMxM/8pASOF6FI5HxEB7FK5H4R2SQNejcD36nhFB16NwPfSqBEGamZmZhVrzQK5H4Xrc2uFA16NwveETL0EK16NwhRHqQFyPwvXoB/JAcT0K11PO1EAK16NwbyQLQWZmZmYOy/1AmpmZmRm+qkCkcD0KF8awQMP1KFyX1+BAH4XrUTga0kDhehSujyTyQDMzMzNwKBVBexSuR1Gy4EDsUbgeHfYFQfYoXI+i1sJA4XoUrpHnHkFSuB6FC5/AQLgehevVfwtBUrgehR8v80ApXI/CBXDwQPYoXI9ZahpBcT0K1xPl2UApXI/C1aHoQDMzMzPbGgNBw/UoXPAmFUGPwvUoXBdiQM3MzMzeXQhBUrgehevWpkAK16NwSYMaQVyPwvVIVMtAMzMzMxFGA0EfhetR0LEDQR+F61FqWxxBmpmZmZHz6EApXI/CtbPHQHE9CtcLDAJB7FG4HoX10kAAAAAAwHDSQBSuR+EeNQhBH4XrUTituECkcD0KG6j6QKRwPQqj1Q5BKVyPwslDIkEfhetRzzYVQa5H4XrIQwlBexSuRzeeIkEzMzMzs8++QM3MzMx0JfFAhetRuN6NxkDhehSuR+mkQAAAAACAMQxBCtejcP3OzkB7FK5HwR/LQOF6FK6jNvdAmpmZmflDzUCF61G4Xpm4QFK4HoW/tvZAUrgeheu7s0CF61G4roziQFyPwvUoKMJAzczMzO7TGkFxPQrXI9C0QI/C9Si/RRRBSOF6FC6j2UC4HoXrLJMTQeF6FK6XwuJAj8L1KLgO8EAzMzMzVxUCQcP1KFzXcedAexSuR4HNxEAK16Nwu7QIQaRwPQp9rhdBpHA9Cm8JGEHXo3A9Gp8FQWZmZmZm5lFArkfherSAyUBcj8L1VpYVQY/C9SggPAZBmpmZmbcCH0HNzMzMrkIJQYXrUbgeZ6JAUrgehUuF2UAAAAAA5DIGQVyPwvWoiKZAw/UoXE+vsUCuR+F6dLLAQIXrUbiBchBB16NwPYi3DEHNzMzMSrwAQZqZmZnZl8JAFK5H4ZhCBkEzMzMz85zhQJqZmZkZkaZA7FG4HoWgrUA9CtejsJTGQOxRuB7Fg+FAhetRuB5n+EBxPQrXI+/WQMP1KFzbDvJAXI/C9SgUlkBxPQrXv873QMP1KFwHugxBUrgehbRFFkFSuB6Fq8LDQMP1KFxpcABBKVyPwjWU0kBxPQrXU+LlQOxRuB5lrAhB9ihcj8kBHUHhehSup2HHQIXrUbg07whBPQrXo+kPKUFcj8L1nKcNQR+F61FAuehASOF6FK4H6UDNzMzMDikWQXsUrkfxaNBAUrgehW/UCkFmZmZmT3sWQT0K16Nw76dAFK5H4W6KAUEAAAAAytoFQXE9CtefLwlB4XoUrofUyEB7FK5HSS31QK5H4XpEH9BAhetRuJ4txUC4HoVrbSE6QWZmZmbeig1BzczMzDx91EDXo3A96sDEQD0K16NtYBNBAAAAAK3lFUHD9Shcj/ORQEjhehQuBKBAw/UoXI/UEEGamZmZ+YbIQLgehev11/tAcT0K13OiGUG4HoXrRIoZQVK4HoVLFtFAAAAAAAATpEAUrkfh6lb3QFyPwvUEXvRArkfhepS1s0BxPQrXE53lQEjhejTeH0VBMzMzMwtkC0GPwvUo3BukQOF6FK6HIPFAFK5H4Xqp80DsUbgexbDPQJqZmZm5XcRAzczMzPBv/kDD9Shc8XMSQR+F61E4os1AcT0K16MjtkB7FK5HfYb5QHsUrkfBrMdA9ihcj8Kxh0B7FK5HP7IOQXE9CteVxQJBMzMzM//FAUHD9Shc8T0GQVyPwvVwBudAPQrXo7SxAEFxPQrXh5UKQVK4HoWLSMRAMzMzM6/v90BSuB6FayKuQHE9CteT8eZAFK5H4XS8CUGPwvUodOTlQHsUrkehbLRAexSuR6XIAEGF61G4DhfgQOxRuB4pyQBBpHA9ClcWA0GPwvUoXHKcQI/C9Sg8FcdAMzMzM2Mw5UCamZmZWUsBQQrXo3DNpdxArkfhem7zD0GF61G4WqHxQDMzMzNF2gNB9ihcj7IA1UCamZmZ300AQcP1KFwPgcBAH4XrUZ/kEkEfhetRqE/VQMP1KFykzChB16NwPWoe8UDsUbgef+8GQSlcj8LFAfBA7FG4HoWtjEDsUbgepfrPQI/C9ShMudxAmpmZmSA1FUFxPQrX24MGQXsUrkchoMZA16NwPVJQ5EApXI/C+YT7QBSuR+EaYMdAH4XrUVgowkCkcD0KS3MSQcP1KFxI9RxB9ihcjwyaCUEzMzMzP0b1QOxRuB7Fm7tApHA9ChcXvUDsUbge24IdQWZmZmYmwb9AH4XrUcS8AEEpXI/CnWYDQT0K16O46PpASOF6FO4syECkcD0Ka/wPQaRwPQo3j9JAw/UoXN9b70Bcj8L1ONTUQM3MzMxcP9tAMzMzM4Nc0UApXI/CxXLQQOF6FK4nXMlA4XoUrmcJ0EAK16NwvV+vQIXrUbgOkvlA7FG4HiH+9kDXo3A9CuWiQEjhehQ0RgJBSOF6FNaW70BmZmZmZgWjQIXrUbi+m8NAKVyPwnX470D2KFyPCFUfQQAAAAA0uvVAAAAAAKjj/UBSuB6Fa5HzQKRwPQqXWLpAhetRuG4a70BSuB6Fa8zNQI/C9Sicv8ZAH4XrUWjM30Bcj8L1CHjYQKRwPQq/ORNB16NwPYrUvECuR+F6ypwAQVyPwvX4zNVAcT0K1xWgCkFxPQrX+iEUQRSuR+FglwBBCtejcP0e3kBxPQrXg3HFQNejcD3q0AxBUrgehethXUAfhetRRsUDQY/C9Sjc1M1AzczMzFgU9UD2KFyPGtjgQKRwPQq94wZBcT0K13fwCUFSuB6Fk0cBQVK4HoVrCMBAMzMzM2VLCUGkcD0KG9LwQAAAAABAGNBAzczMzMzQikCF61G4huHsQFyPwvW4VOFAAAAAAAzS8kB7FK5Hx6ICQVK4HoVhfAhBCtejcKdRFUEpXI/CoLoSQR+F61EodfhAZmZmZioiB0EpXI9C66ggQRSuR+FklABBcT0K1/Oc4EDNzMzMjO29QClcj8JnEQJBrkfheubSGEFxPQrXM5PaQI/C9SjsP/NAw/UoXMP5DkHD9Shcz4fYQK5H4XrE1QJBzczMzIh+/kC4HoXrkY69QI/C9ShQWhJBMzMzM/9KCkF7FK5HEdf6QPYoXI/CUMRAexSuR+FYhUCkcD0KZ2fUQArXo3A1mf5AFK5H4Vra4kBxPQrXo0q3QIXrUbgeo6JApHA9iu+vJkGPwvUoW0cWQdejcD2qjeNAZmZmZrQKB0EUrkfhekCWQIXrUbiaX/9ArkfhehTpqUBSuB6F6zmYQArXo3B9Y75ArkfhekUBEEFSuB6Fk+bjQFK4HoVrwr1AKVyPwlVzwEApXI/C1Xr9QClcj8I1cfZAw/UoXE+8yUAfhetRmEj4QClcj8J1YbNAMzMzM5N150BxPQrXI0fLQD0K16MULPRAcT0K14OVw0DNzMzMTLC+QI/C9Sgcit9APQrXo3Cw6EAUrkfh7K8OQTMzMzP7MPVArkfhehQGhUBSuB6FF5nzQAAAAADwB+RAzczMzKbQDEFcj8L1WrEUQT0K16M6lglBSOF6FBygBUEK16NwPYWcQMP1KFw3wQRBSOF6FC7ewEBxPQrXoxrMQK5H4Xq0P/FAZmZmZnK2/UAUrkfhfhkGQVK4HoXjrOVAXI/Cdd4RMUFI4XoUTr3BQOF6FK4n3c1AexSuR+Fw4EAK16NwlmwSQSlcj8Jluw1BFK5H4arW2UAUrkfhS1kXQZqZmZmjoARBUrgehcO9F0EzMzPrhsxgQTMzMzOT9xZBFK5H4V+XN0FI4XoU1u0FQWZmZmbO8wNBcT0K16PIoEDhehSuLBcRQcP1KFzbhflA7FG4HsV5u0C4HoXrsZjGQI/C9Si62AFBSOF6FFKh80B7FK5HidzlQEjhehQee9lAj8L1KFyNi0A9CtejOA/mQK5H4XoUNN1A16NwPRqd1kCF61G4wn73QDMzMzMdNwdBcT0K10/9+UBSuB4F4wciQY/C9SjkbPdA4XoUrgJ4EkGF61H47I4zQeF6FK71YAVBCtejcD0QwECkcD0KVxDBQFyPwvUoHG9APQrXoxyGA0EpXI/CFaDFQK5H4XoMXQhBzczMzNjJE0GF61G4nie4QDMzMzMTxOtACtejcL2Tp0DNzMzMI30RQZqZmZkP3gNBexSuRyELskCF61G42jEGQexRuB6pmflAuB6F64ln/UAzMzMzf08SQcP1KFwv8vJAFK5H4dpI2UCF61G4/uTWQK5H4XoAG/dACtejcD9ZBEHNzMzMjuoLQaRwPQoXJPxASOF6FHXAEkF7FK5HgeTWQNejcD2K18RA9ihcj1I49EDhehSucY0VQcP1KFz9oAdBPQrXo02XFkGkcD0KhVkFQdejcD3WP/dA9ihcjxK66EAUrkfhegjaQBSuR+FeMABBSOF6FK6M2kD2KFyPjvT0QOF6FC4o+SRBH4XrUQhQ0kB7FK5HYSXSQI/C9Sg8SdFAFK5H4dpxxEBcj8L1vbQTQUjhehTlcBBBw/UoXEPBEEGamZmZeUrDQAAAAACABr1A7FG4Hg89CkFI4XoUzsXkQLgeheuRF/9A7FG4HvWrBUEpXI/C814JQZqZmZnJBgdB9ihcj4KxtUCkcD0K1xqZQEjhehRuHLBAuB6F62X3AUEfhetRuJDRQPYoXA+IECNBZmZm5mR9LkE9CtejqFgHQVyPwvXAnuRAXI/C9agrskBSuB6FH/33QFyPwvVYYeVAAAAAAHGkE0Fcj8L1KNB+QMP1KFxvmNlAuB6F6wVk9EBSuB6FOxXtQArXo3AJO/1ArkfhesQq1kAzMzMzy4v9QOF6FK7X/9FArkfherqaA0H2KFyPSrUFQYXrUbgGT/FAzczMzDSlCUF7FK5HwcjCQD0K16NYZ/RAFK5H4ZYIBUHD9ShcJzz2QGZmZmYeQ+JA16NwPWrQxEB7FK5HVUjwQPYoXI+CrcFA16NwPUgPDkG4HoXrRREAQQrXo3CtytRAUrgehevWEkGuR+FqzwVjQVyPwvW4F/JACtejcN0UwkA9Ctej6CfuQFyPwvVemgNBMzMzMxOez0CkcD0K18mGQFK4HoXT3QtB16NwPWKE4kBSuB6FssASQVK4HoW7ad9AuB6F6yGGAEEAAAAAoD3TQB+F65FrMTdBXI/C9TqIAUEfhetRaIX/QLgehevj3BpBexSuR+GcmUBmZmZmNtvQQLgehevRzbxAhetRuPUQG0EfhetRWD7UQPYoXI/CBshApHA9Clm2GUEUrkfhGiXFQBSuR+HOswlB9ihcj4JlsUAzMzMzf0bzQD0K16P45uVAAAAAAI4gBUH2KFyPiqbqQJqZmZnZZuFAUrgehXzHF0FI4XoUftzVQGZmZmamb7JAFK5H4bwiFkEpXI/Coa4OQTMzMzMTCdNA16NwPbwKGUFcj8L1KCRuQFK4HoWj8edA4XoUrufD5kA9CtejnBQKQcP1KFyPz7FA7FG4HoWkvkCF61G4ziITQSlcj8IU2hhBPQrXo3jr5EBmZmZmPH0JQT0K16NwSXhAuB6F6y+fAEEpXI/CdVi8QI/C9ShdexNBCtejcD3B1EA9Ctejf4EUQY/C9ShlGxVBAAAAAOADA0GamZmZGQ6xQOxRuB4BsPFACtejcD3T80A9CtejHAYOQQrXo3C9y7xAmpmZmUWhCEGuR+F6D3gQQexRuB4F47RA4XoUrvfw10DhehSuZwj0QIXrUTgrBydBpHA9Ci14AEHsUbge0/sDQUjhehT47AJBj8L1KFw4rUCPwvUonNm8QB+F61E45AZB9ihcj0Ln3kA9Ctej8JzVQFK4HoUPKBBBj8L1KPZKDkFcj8L1ZFLyQClcj8JVDcRAcT0K1zNM0ED2KFyPhaMZQexRuB6DVQ5B7FG4Hk/qF0H2KFyPAuHRQHE9CtdxRwhBhetRuCKVAEFmZmZmMqLwQClcj8IFT9BAZmZmZnyXE0GuR+H6w14iQQAAAAAAEsZAKVyPwvV8sUA9Ctej8KK2QOF6FK5PHPpAcT0K1yOdxUB7FK5HwULSQClcj8JVOs5AzczMzLi08EAUrkfhukMVQQAAAADsvx1B7FG4HoUv7EA9CtejdjIcQcP1KFyXbBNB9ihcjxKD4EDsUbgevf/hQArXo3DvjwpB9ihcj8KJnkBmZmZmRrnSQFK4HoULbsxAFK5H4fo8zEApXI/C9W+vQDMzMzPj6vZASOF6FGbyD0FxPQrXoyruQMP1KFxfENBA9ihcj9J50ECPwvUonBH0QFyPwvVwk/5A16NwPbKhEEHhehSu3+IPQa5H4Xq8U+BAAAAAAADct0AK16NwjV3QQIXrUbgcZRJBXI/C9Tiy0EAzMzMzf3QUQc3MzMzoV/dAmpmZmTmmzEApXI/C++8tQVyPwvUotaNA7FG4HgWZvEDsUbgeMUYMQXE9CteDL9NA16NwPbEaFkGPwvUoHNm7QClcj8J1Xq5AzczMzLQDBUEpXI/CD1ABQRSuR+EKkdhA9ihcj6oNCUF7FK5H0ZYtQQrXo3DbcglBhetRuB4ZxUBmZmZm5tPIQBSuR+Eu2QFBj8L1KHlPEUEUrkfhvir4QAAAAABAmBFBFK5H4QpO8EAAAAAAGHD8QIXrUbhmqfFA4XoUro+H60BSuB6F63TIQMP1KFyv4t5AMzMzMwsgBkEpXI/CxXTkQM3MzMxC+g1BCtejcO1E0EAUrkfhemSRQPYoXI8iodJAKVyPwgBrF0HXo3A9Zo0LQRSuR+H4WxxB9ihcj9YiCEGF61G43om6QFyPwvUoPs9A7FG4HvHQDUEpXI/CxfTXQAAAAACEufVACtejcJ3d2EAK16Nw3RPGQArXo3BdychAH4Xr0T/nIkEzMzMzIVkXQSlcj8L1hp5AcT0K18NP0kDsUbgeBQmiQJqZmZmJH9FAUrgehYXfAkG4HoXrjzcSQYXrUbgSnAdBuB6F68k19UDsUbgeSeMOQZqZmZlJRuxAKVyPwq2WBkHNzMzM0mkbQVK4HoVre8VACtejcP0MsUDD9ShcU2YEQSlcj8IP4QFBXI/C9bhR2UCkcD0K1zvMQKRwPQpHNhhBcT0K1wPAz0CPwvUohisQQVyPwvXKdwJB9ihcj7aw/ED2KFzPoFszQTMzMzPzasdA7FG4HuH7/UBxPQrXQ1jAQPYoXI9qov5A4XoUridFwEAUrkfh+kbFQKRwPQrnrepA9ihcjzbgHEFmZmZmijr1QMP1KFxlYA9BhetRuM5BFkHNzMzMfInWQDMzMzPbkflArkfhepQ3y0ApXI/Cc4wNQa5H4XqUxKBAmpmZmbF14UCuR+F6NCPFQLgeheuRT7pACtejcEt4D0EzMzMzMwfkQOF6FK4jBAFBCtejcH3xuUC4HoXrocz1QIXrUbgyhAtBMzMzMwlYB0GamZmZ3e0UQVK4HoXBdgNB7FG4HpuxAEFI4XoUkoX0QFyPwvVEUPVAZmZmZtZrE0EzMzMzQ6zzQIXrUbjOrNNAzczMzDzDCUG4HoXrmVPsQI/C9Sice+BAKVyPwvX0hEAzMzMz89y1QM3MzMyi2RBBrkfhetA++0CPwvUoDKTVQHE9CtcBzQtBzczMzAxEuUAzMzMzC9viQClcj8IVaspAAAAAAOCyxUAAAAAAFDATQcP1KFyXAQFBSOF6FHOXGEEpXI/C9VfNQNejcD2uGPhA7FG4HoXHvkCF61G4Xn65QAAAAICOOSRBhetRuFZq4kDXo3A9IvD3QHsUrkchcsxACtejcD0gkEDNzMzMbPrMQOxRuB6FWLhAFK5H4aqQ4EA9CtejcCanQD0K16PwE61AKVyPwvkvAEEzMzMzWUUIQQAAAAAgucJA7FG4HgM1C0HNzMzMrM7sQHE9CtfVVgNBCtejcLtkDUGPwvUo8qMAQfYoXI/cEQVBexSuR+H6kkA9CtejezkTQUjhehRujrtAuB6F64Gr0kBmZmZmZrnQQFK4HoXxLAdBpHA9Ctccl0CuR+H6Ug0hQeF6FK7reBBBPQrXo64uAUHD9ShcYAUbQa5H4XrQQf1ApHA9Cg/k7EA9Ctej0CHTQFyPwvVG2gJBhetRuPK9+UAK16Nw6S3+QFyPwvXItc9AMzMzMzfS/ECPwvUo0IkCQfYoXI9NcB5BKVyPwvWmqEDhehSuBza1QNejcD2pKxdB4XoUrk3rAEGuR+F6lDqqQDMzMzNpuwlBPQrXo/yj8UCF61G43krKQHE9CtcjirdAmpmZmcU1B0HNzMzM3G4DQQAAAAB4QuJAAAAAAOBD4EAK16Nw3cbXQMP1KFz8ZCpB16NwPbIi7kAUrkfh9l74QBSuR+H6TtBAcT0K14plFkHNzMzMZKX3QK5H4Xr7iBtBj8L1KO6aC0EpXI/CNY/FQEjhehSxzBlBH4XrUbgPlEDXo3A9msL9QAAAAABgYtlAhetRuGr0+0DhehSup7ACQXsUrkcJVgZB16NwPS7yDkEfhetRODvIQOxRuB7FZbRA9ihcj6K55kD2KFyPIpQCQVyPwvXI7tpAPQrXo3AarUApXI/C9SyfQKRwPQrXs8pAPQrXo3BWmUCPwvUoXJXqQFyPwvXoMwRBexSuRyFE2EB7FK5HGfrvQNejcD2SsQxB9ihcj+xeFUFxPQrXGzDlQFyPwvUhNxJBZmZmZmZRwECamZmZsZwSQVyPwvVGDQpBhetRuL4RxkDD9ShcX5nVQOF6FK5vfvZAXI/C9cgyD0EUrkfhVhcSQT0K16NRnRZBcT0K15dh9UDXo3A9n24XQVyPwvVK2gBB7FG4HnUI1kDD9ShcPAkSQWZmZmZOev9AAAAAAKCD0UApXI/CfQAAQZqZmZkZGK5AH4XrcQAYTUEK16NwDSHkQHsUrkeBr8RApHA9Cm8w5UAUrkfhDE8IQQAAAAAV1CVBPQrXo3Dml0BSuB6F+1XjQFK4HoVLsddAhetRuD7B0ECuR+F6I84mQVK4HoXrgNhAmpmZmfFKBkHsUbgemcT/QEjhehSub3pApHA9CjMi+EBSuB6FK6q1QArXo3CLCxRBPQrXo5C3yEDXo3A91JkGQXsUrkfFuRBB16NwPcp1v0CkcD0K1wTDQEjhehTequBAUrgehUvGxECamZmZ2Te6QAAAAAAAwpRApHA9ChWgDUHD9ShcI1jzQKRwPQpXO6lAj8L1KJRA5ED2KFyPQmy6QGZmZmYmuwdBrkfherRv6UBmZmZmJo7/QIXrUbieS89AzczMzGSj60AK16NwhXT5QHE9CtcjQ6FA16NwPVIQ60AzMzMz38XzQArXo3CfpBhBexSuR6urBUFmZmZmsvABQUjhehRqoPJAmpmZmSfjAUG4HoXrfOEUQaRwPQrLqPtA7FG4HjFOGUE9Ctej8F/CQKRwPQpa6xBB16NwPaDwBEG4HoXrUUGjQOxRuB4F8PZAj8L1KL5uFkEfhetRSN/eQKRwPQoXkMFA7FG4HnPAD0GamZmZGT7aQEjhehRGYfBA9ihcj4BhBEGF61G4lvkHQa5H4XqszuNAMzMzM2fbDkFxPQrXoKkTQXE9Ctd91BNBexSuR2GruUAzMzMzMzMNQBSuR+F+QgZB7FG4Hrms8UCkcD0KF5DNQBSuR+HSSO5AFK5H4fpI10AfhetRwMr/QD0K16NARt1Aw/UoXI/ypkCkcD0KV+nQQK5H4XqU76dAw/UoXKJGEEFcj8L1aDfSQHE9CtcjrdVApHA9Ci3SDEEzMzMzM1WZQNejcD0KQMlACtejcH3qtUBcj8L10ELgQBSuR+F8swJB9ihcjzpdH0HsUbgehY61QI/C9Sg38xJBZmZmZqaVxEBI4XqU800kQVK4HoXj2u9AhetRuI3XEkGkcD0KY74JQYXrUbgu5uZApHA9CrfOyECF61G4dofkQOF6FK6jr/NACtejcD3QwECuR+F6FGqZQMP1KFyP56VAMzMzM2Nn/EBSuB6FbFwiQTMzMzMTPtBAhetRuILT+kC4HoXrUShmQArXo3A9UctAAAAAAGBryUBxPQrXg53IQArXo3Ah1wBBFK5H4eoH7EB7FK5HBZr9QJqZmZmJ7thAKVyPwpF3JUHXo3A96noDQR+F61GZ/D9BFK5HIZPMMkHhehSul5TrQKRwPQpnrttASOF61HHZPEFSuB6FO3fdQB+F61GmTwVBMzMzMz9B90A9CtejIJjwQMP1KFw/09xAXI/C9Yjx0EDXo3A9dEwbQXsUrkeTThpBmpmZmQ2CDEHsUbge5U/IQDMzMzM7/+RAMzMzMwP4AEE9CtejcJ3FQFK4HoVPagVBFK5H4Xq0TUAAAAAALDj2QGZmZmbmX6JACtejcJXTA0HhehSuS2v3QIXrUbjea8xAcT0K17sy/kBcj8L1BJcFQdejcD1qLMNAKVyPwrHaB0HNzMzMDOm8QHsUrkctXApBj8L1KGwr7ECPwvUoWJP9QM3MzKwLhklBj8L1KGQ/B0GkcD0Kl2m3QPYoXI9WYf9AuB6F61FzoECkcD0Kq5n7QFyPwvWIWMBA16NwPd4a+kAAAAAAfEH3QClcj8IXBBhBrkfhegQ67ECF61G4WuQHQXsUrkchjLJA4XoUrl9r4EAUrkfhGhvEQJqZmZndMfhAexSuR6Eu2kDD9ShcCToIQR+F61G4gp5AcT0K1/OPCEHNzMzMfrQBQSlcj8JviAtBUrgehRsj1kDD9Sic+C0yQVK4HoX53AhBMzMzM61YE0HNzMzMzDCsQGZmZmbGDddAUrgehWtHDUEzMzMzk7PEQOF6FK4XVtpAUrgehaHWAUFxPQrX68fhQD0K16Pg+O1A7FG4HiUvx0AfhetReO/OQK5H4XoofANBcT0K1yN6rEDXo3A9HJAEQQrXo3C9V6hAMzMzMzM/pUBSuB6Fc4kLQT0K16PAbdNAw/UoXO+k4kC4HoXrUYT+QHsUrkeZTwBBw/UoXPVYA0FI4XoULniqQGZmZmZGcA1BMzMzM7PA5kAfhevRSSg7QY/C9SicIelAZmZmZmYEtUBI4XoULvm9QPYoXI/6OQRB9ihcj6KFykAUrkfhisDRQHE9CtdjVLBA16NwPdJv/0DXo3A9Cg90QGZmZmbe4uNAFK5H4d42H0Fcj8L1gj4HQdejcD2O9PpAFK5H4cI8CEFI4XoU1r0DQcP1KFzvgvJAexSuR8GT00C4HoXr8WfSQK5H4XrGihpBAAAAANASY0EAAAAAUK/hQDMzMzNDItNAhetRuM6220CF61G4lFgAQexRuB4FlaZAH4XrURj4AUEpXI/CtTToQClcj8LEtRRBH4XrUShL1ED2KFyPQo+5QNejcD0Kh8dAzczMzMwMtkApXI/CdU6rQKRwPQo/WetAuB6F6y37+UCuR+F6tKjRQHE9CtcB1RRBcT0K1w+ZAkGamZmZMskTQXE9CtdLj+FAhetRuJ7/r0BSuB6FQ2oNQbgehesROtdACtejcGNMEEHD9ShcSz0RQZqZmZnZxLtAZmZmZma3o0DNzMzMTV4jQVK4HoVjhuhAw/UoXOPQ9kBSuB6F0YUbQdejcD06RNZApHA9Citq9UAAAAAAIpUbQYXrUbhuidJAH4XrUSht8UAUrkfhOqrQQPYoXI++KgtB4XoUrrmBA0GkcD0Kl1LBQOF6FK6ZbgNBhetRuL7Aw0BmZmZmeIsHQT0K16MG6BZBpHA9CqsB+kCuR+F6CjcMQVyPwvWoo6BA16NwPTZ4IkHXo3A9SjreQOxRuB6FzK5AzczMzIxIs0DXo3A9au7UQOxRuB7r/RJBrkfherRD0EBxPQrXq9PhQB+F61FYZsFAcT0K12uw8kAAAAAA6Bv9QDMzMzMDeddAAAAAADDK30DNzMzMjPu9QAAAAAAAMNJApHA9Cr3VEEFmZmZmhtfHQNejcD2aJOhAZmZmZuYtqECPwvUo/ObMQFyPwvWaQQ9BhetRuNZUGEHNzMxM7kogQQrXo3BKRxpBexSuR+GizEAK16Nw/Tq9QK5H4XpgfvBAj8L1KJyEv0DhehSu/73gQPYoXI+4WwpBXI/C9WpHAUEK16NwY/IOQaRwPQoPDOBASOF6FK6AkUApXI/CjYHxQHE9CtdtnwpBZmZmZqbM8UDhehSuRzGeQD0K16OIGfxAFK5H4VqWwUDsUbgeQcYGQY/C9SjM/NZA9ihcj3RuDEEK16NwHboLQT0K16OwdMRAzczMzEzBr0BxPQrXk1PTQFyPwvX04vBAH4XrUTh1oECkcD0KV2gbQQrXo3C919NAFK5H4RO9EUFcj8L1r2EQQcP1KFzvZPFAmpmZmbldw0AzMzMzH5PzQKRwPQrX+tJAzczMzHyPMEEAAAAAgImhQOF6FK5HA6lAUrgeheskykA9CtejtFUKQUjhehSuLJJA16NwPcof3kBmZmZmdjDUQOxRuB6FDaVAw/UoXFMtBUGkcD0KZ97TQLgehevhpPxAH4XrUTiqoUDD9ShcvYkdQa5H4XpMkBNBpHA9Cq3ACEEzMzMzE7LDQGZmZubSlSVB7FG43hbKOEFSuB6Fq2DZQKRwPQpXl7VAUrgehfFDFEE9CtejgOALQeF6FK63N9FACtejcEX1D0EAAAAAKOjwQKRwPQpX/MpASOF6FC7ItkAfhetRGBnDQDMzMzP3if5AH4XrUfQEFkEfhetRWILKQKRwPQq3hMBAXI/C9Q2rFUEUrkfhTCAPQaRwPQrNLRVBmpmZmVPbFUEK16NwnTnNQBSuR+H8pDRB7FG4nlorIEHD9Shc31jYQMP1KFxPt7xAw/UoXCEeBkGF61G45OUNQXsUrkfR19VAj8L1KOxi30AfhetRuNOpQI/C9Sj8LPRAhetRuP6v4kD2KFyPBu7zQI/C9SiOkxlBw/UoXI8DuEAzMzMzSaoOQc3MzMzMEKxAKVyPQmN9NEEfhetRTpoQQaRwPQrXJ3pA4XoUrkfXkEC4HoXrEVMGQY/C9SjYEQJB16NwPUbV+0Bcj8L1UvMJQVyPwvV4NPdAw/UoXHdV6UAfhetR2PrAQOxRuB5/yhNBcT0K1wN31kBmZmZmTrXoQB+F61GYINBA9ihcjyYa/kCuR+F6xKLlQM3MzMz00g1BCtejcI3T1kDsUbge/78CQZqZmZmZjsVAzczMzKw13UBSuB6Fy4jTQHE9Ctcj8rNAXI/C9YhHxkDNzMzMPC0OQXsUrkdZFuJAuB6F69Epo0DD9ShcqRIJQcP1KFwvyMZAmpmZmVeTCUGuR+F6VN7LQFK4HoVrjrVAexSuR8mW8EBcj8L1alkDQeF6FK5hkBVB4XoUrgeRs0BmZmZmJhXiQEjhehRij/BAw/UoXN+Y0kBcj8L1igAIQfYoXM/hTjpB4XoUrjP/9UApXI/C2G4TQXE9Cle3iyRBuB6F6/ObCUHhehSu5dMEQaRwPQrSQhNBw/UoXFthDUGF61G4rgrlQOF6FK6jLARBhetRuJ4h40DNzMzMrF3CQB+F61Gnox5BrkfhepzI4kCuR+F6xDTaQGZmZmaNTxFBPQrXo1ZwGkE9CtejcPeNQAAAAAAKIARB9ihcj+KFxUDXo3A9Fx8UQUjhehSiP/BAH4XrUcjb10CuR+F6elUTQexRuB6Fp35AXI/C9QhZ7EDhehSu8SoVQZqZmZkAQhtBPQrXYzXlM0HsUbgeW6sAQT0K16NwAa9ACtejcP2oyEBI4XoUrvdnQHsUrgdo5D1BmpmZmQkZ30BmZmZmcKEMQTMzMzNbsQpBuB6F66FF80CPwvUoHokAQY/C9SisytVACtejcOkeBUGuR+F6HkMMQaRwPQqHYNJAFK5H4T5M+kBxPQrXpWcFQbgeheuJlftApHA9Ct7wGEG4HoXrn9wBQXsUrkcpqAFBMzMzM9MLz0AfhetR+BDjQHE9CtcT7NRAj8L1KDQW6ECPwvUoLNLwQOxRuB5tNfJA9ihcj/kiEkFmZmZmvrIPQSlcj8LFz+FAuB6F64Q4EUH2KFyPIHQGQeF6FK69BRFBCtejcEnA8UBSuB6F61EmQOxRuB55vABBSOF6FAw0E0GuR+F6mtQXQXsUrkfh2nJAXI/C9Wh2wkB7FK5H4aCdQK5H4Xq89vpASOF6FI6IyEBmZmZmcKYLQdejcD3y8+NA7FG4HoUPnkBSuB6FK8C/QHsUrkdVZw9Bw/UoXOsWCUGuR+F6VNXxQBSuR+H6RqlAH4XrUZ0CFEG4HoXrxbQeQUjhehR2yu9AUrgehcUqGkG4HoXr0TKkQFK4HoXj7wBBhetRuD4cwEApXI/CtSDgQBSuR+EC6wlBw/UoXI/GvkCkcD0Ko/7/QB+F61GAAehAj8L1KEeoG0FI4XoULpqwQJqZmZmZS5xAhetRuF4hsECkcD0Kj3LvQJqZmZlVgxFBhetRuN4xuEAzMzMzh/77QKRwPQq3KMxA7FG4HoUHd0AfhetRqAXcQD0K16NPLhBBMzMzMxbiGkHhehSupzrBQNejcD0KY/FAZmZmZphIA0GamZmZRbsPQQAAAAAwYOZAPQrXo6yeBUH2KFzvpMZJQVK4HoVl+hdBrkfhehR0kkA9CtejaKroQArXo3BvMAFBUrgehe0wAkHD9ShcU3kZQXE9Ctf9ww5BKVyPwi2k4UAzMzMzI5fiQNejcD30YwRBj8L1KDyQykDD9Shcj7o3Qa5H4XqcqvdA9ihcjzJC/ECuR+F6bEvyQB+F65E/5ztB4XoUrtzpEkF7FK5Hdy4TQVK4HoXC5hRBcT0K17f8DkFxPQrXBXIEQR+F61F6ggpBXI/C9YDGIkHXo3A9iEECQexRuB5VqhNB9ihcj64E/EApXI/CNUq7QK5H4XpoK/9AzczMzIgH90AfhetRxoQKQZqZmZn5P+lASOF6FF7c5kDD9Shcg1j8QHE9CtejTppAPQrXo0jx90Bcj8L1KDB2QClcj8LxuvNAXI/C9TZTBUEK16NwfZi2QOF6FK67RAxBzczMzIQR9UDD9ShcZlkTQQAAAAAc7PpASOF6FI4ayUDhehSu7dQOQaRwPQp3pc1AcT0K14ecE0FSuB6FaxO6QLgehetRprhAw/UoXOk+BkH2KFyPcJgHQfYoXI8sMwhBZmZmZsdrHkHD9ShcL2zLQPYoXI/CRqFAPQrXo/CJpUBSuB6Fa7+xQLgeheu5BAZBj8L1KN7mB0EzMzMz76kPQc3MzMzM/5pApHA9Clf4p0A9CtejKD0DQbgehevl8vNAmpmZmVNmBUFI4XoUoOQMQR+F61FYVsNA4XoUrkcmskCuR+F6dFfbQNejcD0Cz+ZA7FG4HpV05EBmZmZmnqLtQClcj8LVCfhAUrgehYvs1kDNzMzMzIqMQFyPwvXouAxBZmZmZiaKs0AAAAAAwHC4QClcj8KnRQVBSOF6FC7g1ECF61G4Jpn7QOF6FK5kfRpBcT0K14srEUE9CtejtNL0QJqZmZmxKv5AuB6F65EusUBxPQrXY4bNQGZmZmZmEMRAUrgehettp0C4HoXrI9EEQWZmZmZMOxpBUrgehWulrUAK16Nwhbj5QNejcD1LKxdBexSuR1GG3ECuR+F6FL2rQLgehesxkeRArkfhekj//kAK16NwbS3rQBSuR+H6ZbdAPQrXoyB760B7FK5H4SZ7QB+F61FwOwlBCtejcP0GxUC4HoXrfm8QQexRuB6FuPBAexSuR8waK0FxPQrX/eYBQVK4HoUlMytBCtejcFWb6kBSuB6FSIkXQcP1KFxBqAJBw/UoXBdz7kDNzMzMEq01QeF6FK69gxVBpHA9CkWZBUGPwvUoHKW+QLgehevvyA1B7FG4HnXP0kAK16NwjendQHsUrkex3NNA9ihcj4I1sEAUrkfhjm0GQbgehettXfdACtejcK1u3EDNzMzM5PPqQM3MzMzsrvpAcT0K18dY9UCamZmZvRj3QFK4HoUbVfZAUrgehatx1EB7FK5HeVQCQQAAAACgVcVACtejcOJ/FkHNzMzMpOTvQAAAAADwLtVAH4XrUbi6hEDNzMzMTpUZQVK4HoX7E/tA7FG4HuvzCUE9Ctejje0SQQrXo3BJbQxBzczMzJqwAUEzMzMz/d4PQc3MzMwM4fJAZmZmZl48EEGkcD0K9y3CQArXo3A9nrZAZmZmZh+pLkEzMzMz41XuQKRwPQrnK95A7FG4HmVjykAzMzMzDXgAQXE9Ctej8ppAj8L1KPxT2UDNzMzMxL/iQHsUrkdRPe9AXI/C9fh8EEHsUbge8zgDQcP1KFwntxVBpHA9Csfk6kAK16NwXZgSQQrXo3D9/cpAexSuR2HUwkCamZmZWcrHQFyPwvW44eJAhetRuO8/FUGPwvUojLYFQVK4HoUrAMpA16NwPWKq70A9CtejkDzPQArXo3Bt1+tAFK5H4cghAEEfhetRhL7wQGZmZmYcuBJBMzMzM+vR4kAzMzMzM+OoQOxRuB75Hg5BmpmZmVemH0EK16NwHW3mQFK4HgU9CCRBSOF6FO4Xy0D2KFyPQjCmQGZmZmaWouNA16NwPSqUBEEK16NwJPMRQTMzMzMTDNlAcT0K12+S9EAfhetRhSkVQY/C9SjChRpB7FG4HvWs2UDsUbgeNXURQaRwPQq3XfhAcT0K16NKw0A9Ctej3ugPQQAAAABA89dAhetRuB7xnUAfhetRRD7yQLgehetREgBBj8L1KOQi8kAfhetRuMqeQHE9CteDK8RAUrgehYu6x0Bcj8L15NsCQT0K16OQ9sFAAAAAAGcSGUHXo3A9Gk3nQKRwPQrXZ61AuB6Fa3UYLUE9CtejcAaRQHE9CtejksNAZmZmZgIr9EDNzMzMrH3HQJqZmZnxLPdAZmZmZu7j/UAUrkfhvm/2QGZmZmYmi7BAZmZmZk4O5UBmZmZmJM4EQVyPwvVVcBhB16NwPQrlt0CF61G4HpvSQM3MzMyMzAFBMzMzMzPqkUCuR+F61JjTQGZmZmZmpLtAXI/C9QhH6kAzMzMzQzjRQFyPwvVYMfNAMzMzM55gEkHhehSuBz7KQOxRuB4FDrFAexSuR3XkD0EpXI9CqhUnQVyPwvW91xpBmpmZmenI7UAAAAAA5jsFQSlcj8LJHwJBKVyPwoczCEG4HoXrkWfiQFyPwvUoUohA7FG4HnF6B0GF61G4PDUVQSlcj8KZ0AdBw/UoXA9n0UBI4XoUqzIbQbgehetRVtFACtejcDW64EDXo3A9ig6tQJqZmZlvGAJBCtejcL3dv0CPwvUobGvVQM3MzMyEMAhBKVyPwnUMvECkcD0Ki4z7QI/C9Shc9rZAFK5H4fryrEAfhetRWn8AQQrXo3AdEtNAZmZmZtZS1kAK16Nw/e21QNejcD02Uw5BSOF6FOLv9EDNzMzMlNH7QArXo3DNcBJBw/UoXA8ZvkBSuB6FyxzKQM3MzMyQHvtAFK5H4SpiAUEfhetRAskBQZqZmZnp4dVAZmZmZmY4kEBcj8L1SDbRQClcj8J1jblA4XoUrkNu/EDsUbgetaDZQJqZmZlbgglBpHA9CpcawEAK16NwnwQAQQrXo3BNI9NAPQrXo2DD8ECF61G4tA8IQY/C9SgcMLBAhetRuKh8GEEK16Nw/ZC3QHE9Ctejx+BAH4XrUayK+UD2KFyPhf0aQUjhehTqA/FA16NwPUobskBmZmZm5sG3QOF6FK7HkttAcT0K1wPNxUB7FK5H4UqNQJqZmZnZ+85ApHA9CtcxxECkcD0Kj3IEQSlcj8K1ILFAH4XrUQjq6ED2KFwPHPIrQQrXo3CtGAVB7FG4HgXMqUCamZmZac7RQPYoXI/CWZlAhetRuNSABEG4HoXrnSL7QEjhehTOc8FAPQrXowCxAkEzMzMzQzDVQD0K16NsDAlBcT0K12PzzEAfhetRNO4ZQaRwPQq3uMVAw/UoXPM0/kCPwvUo3DawQEjhehSOTepA9ihcj6JlxkAK16NwsQAIQdejcD3KirxA9ihcj5IB3kCuR+F6lOqvQDMzMzMUSBBB9ihcjxoU5EC4HoXrFVf7QM3MzMwIv/1AFK5H4VL/CEEpXI/CEVD9QArXo3BprghBFK5H4RqcFEEfhetRMK/zQHsUrkcwJhlBhetRuD7ZykA9CtejII7TQGZmZmas1RdBH4XrUawIDEHD9Shcj9HFQK5H4XoU9adAw/UoXB8i2EBcj8L1xKkVQVK4HoVGtBdBKVyPwmf6BUHXo3A99owIQQAAAAAA3oNArkfh+hmoLUF7FK5H4ZbfQM3MzMyjPhNBpHA9Ci+O+ECuR+F6lE20QFK4HoUrQt9ApHA9CpeutECuR+F6lPezQNejcD0U8A5BMzMzM1Ngy0BSuB6F68CcQNejcD0msvVAhetRuF7jxEDhehSuw5I7QXsUrkfBeslAAAAAAADwV0B7FK5HwfzzQHsUrkdVpx1BuB6F69Gxr0AfhetRuECjQK5H4Xp7FRNBuB6F6zPuA0G4HoXrJZMEQc3MzMwOLApBPQrXo4Dm/UA9Ctej0MT2QD0K16OwKM5AZmZmZuYUv0BI4XoULiTLQIXrUbheGc5Aw/UoXI8AkUAzMzMzc8/GQM3MzMzQG/hAzczMzGqMBUGamZmZKk4QQXsUrkfhg65A9ihcj1JO5UDD9ShcLe4FQc3MzMxYPQ9BpHA9ChecA0HXo3A9xrfyQK5H4Xq0RspAXI/C9dA790DsUbgepXDPQIXrUbjGW/ZAKVyPwg0D50DsUbgeBVChQK5H4Xrf0BNB7FG4HpGW8UDhehSux+GoQM3MzMzsFdlA7FG4HsVfuUCPwvUoXMPJQM3MzMysrBtBFK5H4fKM60AUrkfhekesQFyPwvV3chZBZmZmZubc+0CuR+F6A1gWQexRuB4FHK1AcT0K13hmF0F7FK5HiQT4QMP1KFz5CwpBUrgehfPr8UBxPQrXIxG1QGZmZmYmpNpA16NwPWqYwEApXI/CeUcPQT0K16PgcONACtejcFblHUGkcD0KV2G+QK5H4XrE+OFAmpmZmX/lFUEUrkfhfeseQXsUrkcRIt1AZmZmZgYRwkCF61G4iqwYQUjhehQ0nBJBw/UoXB/740AzMzMzU7XTQFyPwvUohbZAhetRuN6AxUDXo3A9Crd5QGZmZmamULtAUrgehf7JGkE9CtejBbIQQVyPwvUZQxNBmpmZmRmC7kBcj8L17Cf6QIXrUbge1bdAAAAAAADpnkAK16NwuOolQXsUrke2PBBBmpmZmRnTo0B7FK5HCtsTQZqZmRm1MDJBuB6F63wxMUFI4XoUdoLnQK5H4XoUt8VA4XoUrjf8CkEK16PwyilDQa5H4XpwdgJBexSuR+HuwUBxPQrXGSkDQa5H4XrktOFAcT0K1zf38ED2KFyPwq4RQRSuR+Fg+AJBKVyPwoUL1EBI4XoUrmq6QDMzMzMzK9tACtej8NtCIUE9CtejqPzmQOxRuF7YWDZBpHA9CrduwEAK16NwfcXGQD0K16NwDptAzczMzLqcCUEfhetRMlsMQYXrUbg+mMdACtejcPLnIUH2KFyPAmS2QOxRuB5h5vtAAAAAAIAPuEBmZmZmZqSRQBSuR+FYFA1B7FG4HgX0pkCamZmZiQz6QDMzMzMzVMlAcT0K12NHuEAAAACAR4ovQRSuR+HobQNBpHA9Cj2IEEEUrkfheRsSQQrXozBxTTRBFK5H4fp4pEApXI/CBUfUQI/C9SjyCAtBH4Xr0b0cIUGF61G4HsGJQNejcD0q8cJA7FG4HkU9uECuR+F6POnhQGZmZmaYXgpBexSuRyHZukAAAAAABUUXQQrXo3BNUeFAMzMzs/AjKkHNzMzMmhcGQeF6FK6nxcdAuB6F61U+A0E9CtejAArfQLgeheu+bhVBuB6F6zEjy0AfhetR/N39QFyPwvX2egJBUrgehWsDwUD2KFyPZggHQXsUrkcZfv5AH4XrUYgS8EAzMzMzkzbJQBSuR+FcRQ9B16NwPTzKAkFSuB6FOaMOQRSuR+GaFABB9ihcj2rC/0D2KFyPwobkQHE9CtfjiPZAXI/C9ahKtEBcj8L1KEmxQGZmZmbWzAtBFK5H4YLX/EAK16NwVWn3QOxRuB53fgtBUrgehZDgFUEzMzMz7NcQQaRwPQqnuOZA7FG4Hv3580DD9ShcL53LQArXo3B9ofZAPQrX4wHXMEGuR+F6z8kRQdejcD3EgxFBAAAAAKDQzEA9CtejsBS2QGZmZmYYLgRBCtejcEUnEkEAAAAAAI+YQNejcD30XwhB9ihcj6z5CUGkcD0KN4DOQArXo3AdWclAMzMzM0vn+EB7FK5HPIsYQQrXo3DTeARBKVyPgl8XNEFcj8L18PP/QEjhehRmrPVACtejcLzWEEFmZmZmBpHJQD0K16OWDh5BCtejcP38vkCPwvUod/opQVK4HoVrqqlAZmZmZsahzUAUrkfhgjQCQT0K16O8pPpAw/UoXLcyD0GF61G4ng+hQIXrUbgeMZ9AcT0K13Nx5ECamZmZU/8HQaRwPQo3jtFAzczMzPQF5kCkcD2KoV8lQT0K16OQAcRACtejcC0k2UDhehSu2XsPQQAAAAD0OBNBexSuR9k54UAAAAAAYOHhQMP1KFwXvPpAexSuRxHr4kAzMzMzE7ESQXsUrkcx+PhAcT0K18Nz1ED2KFyPbv7+QOF6FK478xxBCtejcK8mBEFmZmZmduXqQEjhehSalPRAj8L1KNiwAEHNzMzMKKEIQSlcj0KabyNBuB6F6xGKvkB7FK5H+6YSQQAAAAB8Vw1BMzMzM5PAwUBSuB6Fv4r9QM3MzMxMY7NAKVyPwhlt/EDXo3A96mPAQHE9CtdjbwlBpHA9CtcGqUDNzMzMLFIJQa5H4XqgugJBzczMzNz5AUGkcD0KN8HaQBSuR+GyzwBB9ihcj0KwqUAfhetRWMbDQB+F61F4PPFAuB6F61FoikCPwvUoJK3pQDMzMzPTfftA9ihcjybWGEHsUbgepUjEQHE9CtctMgdBSOF6VGR0MkFxPQrXZzjxQLgehetujBZBhetRuJ4VvkCF61G4/kzTQK5H4XqU3M1AuB6F6z0Y/UDhehSuhNIRQY/C9Shc851ACtejcO2+FkEUrkfhzG4QQa5H4XrUesdAcT0K12M+7UCuR+F63ZYXQTMzMzNT0dBAUrgehSN+9kDsUbgeCWwNQXE9CleqxSJBexSuR+0m8kBmZmZmZmGcQArXo3A9cp1AuB6F62HvAEGkcD0KtyncQK5H4Xpc9fBAMzMzMyOn3EAUrkfhGifJQFyPwvV6EBpBH4XrUbhOz0Bcj8L1GI/TQArXo3A9o6JA16NwPcI59UBSuB6F21v0QD0K16N5ShBBKVyPwggXFUFI4XoUZu7tQAAAAAAsCwVBUrgehesxtkCPwvUofLIZQZqZmZnZfslACtejcD3qaUAAAAAAwGXWQI/C9Siu8QhBmpmZmbmdyUBcj8L1uJnzQLgehetRW8lAXI/C9Wg2tkDD9Shc65UEQY/C9ShybwlB16NwPYqnqkDsUbge4dAFQa5H4XoU6JRAuB6F6504E0GamZmZknESQY/C9ShEPw1BAAAAAM4UEUGPwvUoXIy2QOF6FK5XCdBAzczMzMzRrUC4HoXrpkAXQYXrUbgYXBJBuB6F681mDkEpXI/CH50BQVyPwvXorrZAzczMzMuNE0F7FK5HMdnXQIXrUbhIBAxBrkfhenS86EBxPQrX51n5QD0K16MQS8hA16NwPQpCsUAK16NwXevBQBSuR+F8fhlB4XoUrnd0+kCPwvUofOnBQArXo3A9A9FArkfhehSmZkC4HoXrL8EIQexRuB5Fx8lAcT0K1y+69EAK16NwDbjRQPYoXI+01xhBmpmZmWNYFkG4HoXru4YCQa5H4XqE0xJBAAAAAFwpBEFI4XoURijxQLgeheuBxdxAw/UoXMmSDkH2KFyPsZETQWZmZmZm6o5Aj8L1KJwwzUApXI/CHVjmQIXrUbguiNlAuB6F6zVL/EAAAAAAdYgYQQAAAAAAgHpAuB6F6xEI2UCkcD0K15SkQGZmZsZ7VUZBmpmZmaEL+kB7FK5HqWDwQNejcD2SMf5ACtejcHAiGkGF61G4hnPqQNejcD0KiLlAZmZmZmYylkAK16NwBWgLQUjhehQuPKdAMzMzM5MaxkCPwvUoTFPZQArXo3BTYQZBUrgehQ9xB0F7FK5HkRzSQEjhehSOTcVAj8L1KFzna0CkcD0KZ3jnQKRwPQq9lQJB7FG4Hk0TCEFcj8L1hEINQaRwPQrrevhAFK5HYURCKEE9Ctej4HncQI/C9SidhxRBMzMzM0ZHE0GF61G4Hi0CQVK4HoXpfQFBMzMzM89oEEE9CtejcLGdQB+F61G4o6lAXI/C9aivokCF61G4JsEDQXsUrkd6ySJBuB6F6wUeBkEpXI/CA3EJQY/C9Shs7eZAj8L1KM4+B0E9CtejolwEQXsUrkfZ9udAcT0K16MYZkApXI/CdeylQGZmZmYOLO9AUrgehX2jAEHsUbgeG5YRQVK4HoWPH/BAH4XrUZJmCUGamZmZ3wAEQWZmZmZahPtAPQrXo2zRD0FxPQrXM/3kQJqZmZlZ6rxAuB6F6xHJwkDsUbgehdKUQOxRuB5FscdAhetRuF4q5EBxPQrXs7TtQBSuR+G6aMxAXI/C9ZRZ+UBI4XoUbgXMQIXrUbgylv5ACtejcM094EBxPQrXOIIQQR+F61E4MqFAj8L1KG6FFEG4HoVr7vYmQdejcD0KD3hAAAAAADZREUHhehTuwLtHQVK4HoVddRBBuB6F61F81UAfhetR8NjoQFyPwvXoj7hAcT0K16P520CuR+F6NKTJQD0K16PwRrtAMzMzM6vZ+kBxPQrXo5KXQGZmZmYGc8hAKVyPwvUonEDsUbgeLZHxQJqZmZlZzM9AhetRuFKO/UAfheuRVGQwQWZmZmbmN6xA16NwPXIRBUE9Ctej8IPSQPYoXI+iJsNAUrgehcv/yUBmZmZmRkESQTMzMzPrhAtBMzMzM4l6GUFmZmZm2PUNQTMzMzPzdLpAPQrXo/Ri+kDNzMxMxIwhQYXrUbi09g5BKVyPwi2dC0HhehSur+vrQB+F61E4CchAPQrXo6Q4BUEUrkfhtCALQQrXo3ANChdBSOF6FJYI5kD2KFyP8vTQQFyPwvUoZbNA9ihcj2J43UCF61G4dB8SQa5H4XrgOPdAZmZmZvzVGkEzMzMzMwPlQK5H4XqUrrVA9ihcj5ixF0EfhetRWE/DQD0K16O4D/JAcT0K15Nt5kCkcD0KFcEKQQAAAKDxyUBB9ihcj2KcAkFxPQrXA0oZQYXrUbje/eJAcT0K16WdEkH2KFyPQqOxQIXrUbiuAgRB9ihcj8J8qkDNzMzMrJXFQOxRuB6dY+pASOF6FJzHB0FSuB6FX/YRQfYoXI8uLAhBexSuR0Gu9UC4HoXryy8FQQAAAACwWtZAw/UoXM8720AfhetREXUQQQAAAACuRAZBUrgehTt5D0G4HoXrx3cBQbgehevHhxFBPQrXo/Brp0BI4XoUuJMbQTMzMzM6khtBPQrXo3CvuEApXI/CRYzzQKRwPQpbTQNBSOF6FK6IrUAAAAAAWKnvQKRwPQoXXMpAcT0K10W8D0HNzMzMDG/GQFyPwvWoAcJAuB6F611R8EBSuB6F65OEQK5H4XqUJqhArkfhegjO/UAAAAAAQEm7QNejcD3ev/hAXI/C9Wim2UAK16NwVTL6QAAAAAAAUQ5B9ihcj8KVgkCkcD0K19+bQIXrUbhe07FAhetRuJ18EEGPwvUodK/zQDMzMzOznsxACtejcC0L10DXo3A9agbRQFK4HoWTR+JA9ihcjy6zAkEzMzMzz3v4QKRwPQoJdwBBcT0K1wPJ40CkcD0K13eMQOxRuB6FZ8RAPQrXo/Aoq0AAAAAAAASKQNejcD0KqLJA16NwPYI190DXo3A91iMTQR+F61F6cxFBZmZmZsJODkFmZmZmKnEGQTMzMzPTNgVBw/UoXLNBJUG4HoXr+xoMQYXrUViRhkFB4XoUrjs990DD9Shcr5sAQR+F61EKjgRBrkfhetSr0UBcj8L1iMDMQDMzMzOj7eJACtejcPkQBEGPwvUoY/sUQT0K16OwDuxAH4XrUeJLAkE9CtfjjwRAQYXrUbhW5eNAKVyPwjv9AUGF61G4XvjhQI/C9Sgc689AXI/C9Si+lUDXo3A9mYQzQUjhehTOP8BAw/UoXGPeAEHsUbgeI2AJQXsUrkdD5AVBFK5H4Yab8UApXI/Cwc3/QM3MzMzMB61AFK5H4foEqEDsUbge5uUbQR+F61F4G7RAXI/C9Qg530CPwvUoBDHoQBSuR+HKegNBuB6F61EamkCPwvUoXAGQQOF6FK6VEhlB4XoUrvsy8kAK16NwdRjpQNejcD1KBLZAzczMzPwk2EBcj8L12A7gQFK4HoVrQKpAZmZmZnai00ApXI/CDWj3QLgehevyNRBBMzMzM6O60EDXo3A9cv0GQa5H4XpObwJBAAAAACDl1kCF61G4mwUYQXE9CtdTtgpBhetRuNbAF0EAAAAACCYLQVK4HsWkAz1BrkfhevQk5kAUrkfhWsbsQD0K16PIPuhAUrgehckuEkEK16Nw9fH2QFyPwvWwVglB4XoUrvdzC0E9CtejtPQIQbgehevRRLhASOF6FIoh/kAzMzMzRtYcQWZmZmZWTtpASOF6FG7nzUBcj8L1dKX6QKRwPUqwITxBKVyPwvUym0AK16MwqVdKQVyPwvWoCqZASOF6FKIp/0CPwvUoLPrjQK5H4XrEDtJA16NwvVRUIkEAAAAAUtgTQexRuC74HFhBrkfh+ra/JkGF61G43tmwQD0K16NA3f9APQrXo1An8ECkcD0Kx3jdQGZmZmbgfAVBzczMzHTi80CPwvUoHCXeQClcj8JNReNA16NwPTIX/UAK16NwYdwFQXsUrkdD8BtBhetRuJY2A0HNzMzMzMw1QHE9CtctnA9BexSuR0FL9EBI4XoUrGMHQdejcD1qOM1AMzMzM6CQFEHsUbgeRZTDQLgehetRua9A7FG4HoWMkUApXI/CVSHkQB+F61Hw0+FAuB6F67kO+UAzMzMzU/LYQEjhehQWKQ1BXI/C9f5lDkHXo3A9iu28QOF6FK6BMwlBhetRuJWoIkHNzMzMxOL8QEjhehQOQMtA7FG4HpWK3EDXo3A9GgnmQD0K16MoDehAAAAAAAg8BkGPwvUoft8VQUjhehTZFRdBmpmZmTuCEEEzMzMz5QwNQRSuR+EQ3gdBMzMzM5ugB0HD9ShcD8aoQKRwPQrX+q1AZmZmZh6u8ECamZmZmWuMQI/C9SgItP9A4XoUrsfT3kAfhetReDK0QKRwPQqX7chAw/UoXC+XwkCF61G4GS0QQRSuR+FKVt9AKVyPwnVzqkCkcD0K18vDQArXo3BxkA5BKVyPwuUH5kBI4XoULvC4QEjhehTPRhxB16NwPaArA0GamZmZmRe7QNejcD1+pyhBSOF6FM7d5EBxPQrXS8vpQPYoXM+ODDFB4XoUrsfuqkBSuB6FW+7YQMP1KFzfTg9BuB6F68mY5kDD9ShcbyTZQDMzMzPJLAJBj8L1KLxzwUBI4XoUyuoJQYXrUbiO9tpA4XoU7u33MEGPwvUo37YQQQAAAADoQ/NASOF6FD6h1kBmZmZmpo7tQM3MzMzMhppAmpmZmfNECkEpXI/C/YntQFK4HoW1fwtBKVyPwvd7AUHD9ShcU40MQYXrUTiz/jpBFK5H4deRGUFmZmZm8dAQQT0K16Ow4c9AuB6F6483GUG4HoXrjfT+QFK4HoVjDQ9BhetRuE7I1EAUrkfhkuPoQPYoXI9iHORArkfheiw0BEFcj8L1qEzZQBSuR+G6fNBAKVyPws0u6EDsUbgeUWL5QMP1KFz9PgpBj8L1KFi/CUHD9ShcD1OtQM3MzMx8UNpA16NwPZ59DUH2KFyPQhbpQD0K16OswQdB4XoUrqfZ7EBxPQrXY3zuQFK4HoWJowBB4XoUrhBuFUGPwvUoHGC0QDMzMzPz67RAcT0K1z2TEEEK16PwVRQpQVyPwvV0IgVB4XoUrgfPtkAK16NwbfjRQJqZmZmz7QxBpHA9CneI70DD9ShcD7IWQT0K16NwFZJAH4XrUcr3CkHsUbgejWQLQWZmZmYml7RAMzMzMzPjckCamZmZYcH0QHE9CtcDncRAuB6Fa4UgJkHXo3A9TEAQQa5H4XqUDcRA16NwPRihFUFxPQrXk6jZQArXo/AB2CxBuB6F69cZD0HXo3A9ukYOQa5H4Xp0o8xAAAAAAPA40EAAAAAAIKPFQOF6FK4xtARBzczMzGvjEEE9CtejYK8fQYXrUbj+muJAUrgeheu4mkDNzMzMzM+fQPYoXI9COK9AcT0K1z+rGUHsUbjeqzgwQT0K16Pws6FA16NwPYqgukApXI/CHdkVQT0K16Mcm/xAcT0K14uX6EAzMzMzhVUvQeF6FK65HwJB7FG4HqWl1kApXI/CtefEQM3MzMyMLcZAZmZmZibv0ECF61F4ZMw4QcP1KFzP/8BAMzMzcxJfMkH2KFyPwiK0QBSuR+Fac89A9ihcj+fnE0GkcD0Ku5IMQbgeheuN+AVBUrgehd2sEkGF61G4ztzQQLgehesXIhBBSOF6FJnkEEFI4XoUDv/dQLgeheuTjQVBPQrXo/9fGUF7FK5H8Z7aQClcj8KBYvFAexSuRyH4y0BI4XoUU4sSQaRwPQqP+vJA9ihcj+Imy0A9CtejXIP0QFyPwvUQKuFAAAAAAIBYuUBxPQrXEzn1QBSuR+F6dbFAzczMzKDB+UBcj8L14JbtQFyPwvWuNgRBrkfhepQRp0DXo3A9iGcBQTMzMzODf+ZAXI/C9QhhxUCkcD0K1zeXQHE9CtdrIxZBMzMzM4Mf8kDsUbgeRaPwQFyPwvWwgAhBmpmZGYLMIEHsUbgeON0RQXE9CteDXtFAUrgehctCxUAUrkfhJ2sWQXE9CtcjC8FAcT0K19U2A0EzMzMzM5ijQDMzMzNzKbdA4XoUrkcLvEDsUbgeKZQJQY/C9SjJFxtBexSuR+H6fEBxPQrXj9bzQNejcL1wayNBj8L1KKAL/ECF61G4vOIIQTMzMzNzG9ZA9ihcj6LpxkBmZmZmptWyQBSuR+EOGwpBSOF6FAzlCEF7FK5HUZvjQHE9Ctc/EfdASOF6FKZF90BmZmZmpgvAQNejcD2EGQ9BhetRuHSjCEFI4XoUJCcHQZqZmZm1dPpASOF6FJpy9kBmZmZmZm4AQRSuR+FqadhAXI/C9SijkECamZmZzY/9QLgehetR4P5AcT0K1wMzwEDXo3A9CjGmQB+F61EyNwdBhetRuN5a3UBcj8L1KCjVQD0K16MGKwZBpHA9Cgs7BkGPwvUoXM2YQI/C9SgVIxpBH4XrUbCX+kCPwvUoVCEIQVK4HoXrrZJA9ihcj9mGE0Fcj8L1fykdQeF6FK7F7whB9ihcj46rE0FSuB6F2w7cQPYoXM8ihD9Brkfheh7LAUFI4XoU7tHcQAAAAAAAw7lAhetRuDIoD0GPwvUoXL67QClcj8JN4wpBMzMzMzOZgkDXo3A9YPALQfYoXI9CH8FACtejcM2WCkEfhetReNbEQJqZmZk5kv5AhetRuHxKCkE9CtejsP0CQa5H4Xpg+PlAzczMzEwyrkAUrkfh2mbjQK5H4Xo0qdNAZmZmZiCTAEGuR+F6jBz7QHsUrkdBDs1AKVyPwhu6DEFcj8L16DPHQLgehettvf1A16NwPQoK10DXo3A9kDgIQVyPwvX4YPdApHA9Cte6qUCamZmZaZzZQHsUrkfn7QhBH4XrUcAlEEHXo3A9umAPQQAAAAAIwehArkfhelTTzkAAAAAAwIXNQGZmZmZ42gdBcT0K19njHEFI4XoUri9kQGZmZmZfaBVBZmZmZmaciEDNzMxMWd0iQfYoXI+STddACtejcDloAkEpXI/C7bfhQGZmZmZmbbxAhetRuM5s1UAzMzMzcxnMQFyPwvUoHLNArkfheuxN6UB7FK5H2bn0QB+F61E4xclAcT0K1wWiBUFI4XoUGkEMQY/C9ShcWYdAMzMzM2EyAEHD9ShcnpUYQYXrUbge7YpAXI/C9XV/HEEpXI/C9T6cQAAAAACwiu9Aw/UoXEBPOUEzMzMzT5P4QMP1KFy1VgZB7FG4Hss+BEEK16Nws/EYQc3MzMzmJQ1BCtejcLNkFEEK16PwpaQwQaRwPQp/PRFBj8L1KIBk/UCkcD0KE9cEQRSuR+FA9g5B7FG4HsWeukCF61G4Wm0LQdejcD2K3MRAUrgehZuY50B7FK5H/w4HQRSuR+H6T9pAMzMzM+MC2kBxPQrXYxr2QGZmZma2a9BAj8L1KFhwD0F7FK5HvL0VQY/C9SjcOu5A16NwPcIT7EA9CtejuNMOQc3MzMxc+tBAuB6F62mo80CkcD0Kp2QTQfYoXI/iiApB7FG4HsVYCEFcj8L1SD7LQM3MzMwQtPBAKVyPwpD7EUF7FK5H3T71QAAAAACgaNRAhetRuP4U80Bcj8L1qG+nQMP1KFwPPLJAmpmZmZlrrUBmZmZmZifcQMP1KFxHQuBASOF6FM4l5UDD9Shc7y76QI/C9Sg60AZBH4XrUQZbEUGuR+F6NEjNQGZmZmboiRNBzczMzFyg4EApXI/C9Xi/QHsUrkeVzvBAH4XrUbjjtUCPwvUomLr4QFyPwvWwrPVAw/UoXC0JHkFxPQrXMVQAQVK4HoXLVgVBZmZmZnCOA0Fcj8L1qAKzQM3MzMzMpaJAexSuR2FfuED2KFyPwo/FQOxRuB4QrxdBrkfhejTFyED2KFyPuAIFQa5H4Xq0DMZArkfhekRqAkFcj8L1FyMVQVyPwvV0YA1BmpmZmVnH4UDXo3A9ao/eQM3MzMw4xgdBhetRuOYtAEEAAAAAwEbHQOF6FK5vQPpA9ihcj8KviUBI4XoUJnPqQFK4HoULE9FA7FG4HmXhxEAUrkfhPg/zQArXo3CxKQNBSOF6FOYr7EAUrkfherCHQJqZmZme1x5Bj8L1KNx8w0AfhetRnHwTQaRwPQrXS45AKVyPwpR8GkFmZmYmSmMwQRSuR+EjvhFBFK5H4UbM+kCPwvUoXNdhQEjhehRuD8BAZmZmZmZwoECamZmZteYIQVyPwvWMEg5BXI/C9YjP0kAfhetRPDf8QEjhehRuIclAw/UoXE9Sz0DsUbgeRe7oQD0K16MKrANBPQrXoxAs30AK16NwmcQKQY/C9SiBAiVBFK5H4QqI4UCuR+F60OAPQY/C9Si8xtdAexSuR6GQuEDD9ShcDwCjQD0K16P4KRFBmpmZmfkr0EBmZmZmwjAcQQrXo3Adru5ACtejcJ2JCEFSuB6F+YsKQTMzMzNzcsNA16NwPYL+/kCkcD0KRxzYQJqZmZmJ3tBAMzMzMzvn/UB7FK5HGeICQVyPwvU4u9JAzczMzEzcxUAAAACAO0AgQXsUrkcdIBVBSOF6FNzCAEG4HoXrQG0ZQa5H4Xo0gPRAZmZmZrY640A9Ctej/LX8QB+F61G4mblA7FG4HpE59ECkcD0K55PlQArXo3BVCvpAhetRuB4Ao0ApXI/CET/1QD0K16Nwhb5ACtejcHJBEUGuR+F6hG7iQD0K16OqthhBFK5H4XYO8UCkcD0KlyCyQLgehevRdq9AFK5H4Zo6xUCkcD0K+UUJQT0K16NUVf1AMzMzM0Og/0CamZmZEWvtQEjhehSuWKBA16NwPQqcrUCkcD0Kw2oHQSlcj8IVD8RAcT0K1+tnFEHhehSuD2PjQIXrUbioTRNB7FG4Hn3LCEGF61G4EN4AQc3MzMxU4+1ACtejcM3S9UApXI/C9ai0QK5H4XpMdvtAFK5H4XC8AEFcj8L1qGinQOxRuB6FlrZArkfhevyoDEGuR+F6NBHEQI/C9SjPMhJBUrgehZsuEUFmZmZm/inzQKRwPQobtAxBSOF6FBmdNEE9CtejxKHzQMP1KFyPpLFAuB6F6+EQ00ApXI/CCdoHQcP1KFyLMPJAKVyPwsOACUFcj8L1KHzlQIXrUbgWjwFBrkfherrLAkEAAAAAKAb3QKRwPQrLM/VAuB6F61HQx0ApXI/C1dnHQD0K16Mw2c1AZmZmZubirEDXo3A9SsPXQHE9CtdvqPFAZmZmZq5Y+EAzMzMz42XaQKRwPQrXAsRAj8L1KDTSAUFSuB6Fa5m+QD0K16Mq2QtBMzMzM9PkwEAAAAAAbGzxQM3MzMwYY/dAmpmZmZmLqEA9CtejKHr0QEjhehSuppRAKVyPwnV9zkBmZmZmJh+5QJqZmZkZ2bdAexSuRyGJ20AzMzMzm9/8QPYoXI+CqsFAw/UoXA8PoUApXI/CNX/yQB+F61Gz6xZBcT0K119UAEE9CtejMM66QD0K16NwyAZB7FG4HmVk8EAfhetRuErFQK5H4Xr84eZAhetRuBP/GkGPwvUoXEmMQNejcD0qWMFACtejcOnREkFI4XoUzkcAQc3MzMwsg8hAPQrXo3AEm0D2KFyPpkP+QPYoXI8cLAJBmpmZmemA9ED2KFyPwnSeQNejcD3iR+1A4XoUrmdRwkAUrkfh/38TQWZmZmYqXAVBCtejcEUs+EApXI/CJQ7fQBSuR+E0xgJBmpmZmekNB0HXo3A9CtWuQJqZmZkLJxZB4XoUrn84AkEK16PwBEgjQXsUrkehwrpA16NwPYpdukCF61G4NkEDQcP1KFwPmctA9ihcj2qw5kDNzMzMFAzpQLgehevZrwxBj8L1KJyJs0B7FK5H4Sm7QLgehesUbBJBMzMzM/HCLUFSuB6FLZ0TQYXrUbimmvdAw/UoXM+uuUA9CtejRD4BQVyPwvXqiwRBrkfhepTCqEBmZmZmfp0LQbgehevhGdlAzczMzKzi0EBmZmZm0DgHQQrXo3B9yAFBMzMzMwdaC0GF61G41tcBQRSuR+FEehFB4XoUrkddrEB7FK5HFdj/QJqZmZlpiutA16NwPRLW50BxPQrXA3XsQBSuR+H6xLRAKVyPwlV5y0B7FK5HDY4JQR+F61HkwABBrkfhepyT6UBcj8L1ZjISQWZmZmZmO6ZAcT0K1wH5E0EpXI/Ce+wIQXE9CteXIgNBXI/C9fafGkE9CtejuZcWQWZmZmYmK8ZA16NwPQpmx0CuR+F6EHAWQQrXo3DVr+pAFK5H4XoRxED2KFyP4m7DQHE9Ctfjn/hAw/UoXE/kCUEUrkfhJvEKQVyPwvVoZbtA4XoUroWjNkHhehSux5moQClcjwImp0JB4XoUrnMvDUEpXI/CnV7iQIXrUbiHDhVB9ihcj2guAEE9CtejsEW0QOF6FK73MwlBw/UoXL8Y10Bcj8L1nGj0QOF6FK5HU8VApHA9Cvv7AEHsUbgehucqQTMzMzO/kQlBrkfheiTP/EA9CtejsCy7QOF6FK7Hga5AAAAAAO5cEUFcj8L1dT4WQXE9CtejPhBBCtejcBU27UBcj8L1vgcKQT0K16PQHsxAuB6F62i9FkEK16NwPceRQI/C9Sh7YhtB16NwPeq6ykBcj8L1OJ3aQM3MzMzscOBAmpmZmWloD0HNzMzMTJ/3QJqZmZlJsf9ArkfheoQF3UCF61G4XmXEQJqZmZnjvwJBuB6F6/uQAEEfhetRowkzQYXrUbjeXtFACtejcCUVAUEUrkfh9nX1QOxRuB7b5AtBH4XrUdii/UCF61G4pLYRQVyPwvUYtOJASOF6FLZP5UAfhetR8Cj1QK5H4XoCqABBCtejcPe4B0HsUbgehRGzQMP1KFzPe75AmpmZmemXAkGPwvUohN/4QAAAAAAAX6NA16NwPZoW2UAUrkfhjsn2QIXrUbhGyA9BAAAAAJL4CkHXo3A95sL3QNejcD1+MyRB16NwPWapAUEzMzMzc4bIQM3MzMxM8rdAzczMzIyJsEAAAAAAEL7jQOF6FK6FoSFBpHA9CrcHFEF7FK5HIf2wQAAAAAAU1fJAFK5H4ZqFwUA9CtejUnwVQY/C9SjcBaRAuB6F6w9qFkHNzMzMwkoFQSlcj8JZiQtBMzMzM9/4BUEfhetRatsCQQAAAAD+1QZB16NwPcqFy0BI4XoUjtvkQArXo3B9T8tAexSuRyHbtUDNzMzMNNvtQHsUrkch3tNAmpmZOaNyRkGF61G4JurgQAAAAAAg19tArkfheoY7BkF7FK5HYdHFQPYoXI8i/cdA7FG4HoPvAkHsUbgetfP9QPYoXI9iI99AKVyPwoXs8UDhehSuRmASQdejcD1Q3ABB9ihcj8J3jkCF61G4Hu3CQFK4HoUTQiJBPQrXozizAUG4HoXrT5MFQUjhehT51xtBmpmZmZlV3EBmZmZm1i8UQY/C9ShcTZ5A16NwPUrauUBmZmZmZmYvQFK4HoVLdMNAw/UoXMnzFEF7FK5HAaTFQLgeheuRRM5ASOF6FMRaAUFI4XoUeNEBQdejcD2AaAhBPQrXI9JWKEEUrkdhZMQuQaRwPQrX1J9AAAAAAOkwFUGkcD0KKVEEQXE9CtcjkqtAPQrXoyCM10CF61G4/iDUQBSuR+GF3BlBFK5H4fXcEkFcj8L19ucGQfYoXI8CXb5ASOF6FK6MwUBI4XoUjmPCQNejcD3iqg5BhetRuJ7pp0BxPQrXo86bQHsUrkfw1BhBrkfhegirBUHNzMyMqHc9QQAAAABoVOZArkfhelJRBkGamZmZaT7WQPYoXI/ROBdBPQrXo1rQBEFI4XoUrscgQK5H4XpU7clAuB6F68u+EEFxPQrXY2nWQNejcD1Q9RJBAAAAAE+6IEEUrkfhWpbBQArXo3D+9DBBKVyPwq1W9UDNzMzMGOYAQVyPwvUUnhJB4XoUrre+00AzMzMzkwrkQBSuR+HSLfFAXI/C9dRVA0EK16Nwja7SQAAAAAAAOpNAZmZmZkjbBkHNzMzMmqoGQT0K16PIf+VAH4XrUfhA2UBSuB6FkUsZQR+F61GiiANBuB6F6xEyu0BxPQrXOnQUQVK4HoX99AJBSOF6FI7b80DhehSur7biQClcj8IVhcpAj8L1KDxRCUFxPQrXAxTaQB+F61Hw6utAKVyPwi3a9UCamZmZmS/MQClcj8KrlwxBH4XrUQig6kApXI9CmN1IQRSuR+H6K+BA9ihcD66/J0HXo3A9ijinQEjhehREjgBBmpmZmalS6kDhehRuoR03QSlcj8L5zvZAFK5H4XoYmUAAAAAAhsQLQXsUrkfxnQdBzczMzH35GEFxPQrXq8/hQGZmZmaGXdBAH4XrUZh500DD9Shc7yv+QHE9Ctf6mxJBrkfhejBHA0EfhetRWHXEQMP1KFzPWcBAcT0KV5KzKEG4HoXreaXnQI/C9Sga6gJBCtejcHVt6EC4HoXrOQsbQSlcj8JdkfdAuB6F61EfnkC4HoXrMesOQUjhehTOm8dAzczMzGx81UCuR+F6UGUEQcP1KFwbXQ9BPQrXo01IEUHD9Shcj0JvQHsUrkcVSfZAmpmZmTnU6UC4HoXr90sLQYXrUbhe7c5AhetRuJ7A00AfhetR+Ne2QOxRuB6ZQQpB9ihcjxs6FkF7FK5HHT8LQfYoXI/kRw1BuB6F6zFj0ECkcD0Kl6G3QB+F61G86xxBH4XrUVQk90D2KFyPUpHfQFK4HoWPWTRB16NwPboK20AAAAAAAHBTQHE9CtfTLvBAKVyPwjBEKkFSuB6FmxL8QK5H4XrE+dhAMzMzM0f+/EBI4XoUHh75QEjhehRIjhFBrkfhevBn80BxPQrXo7amQOxRuB4TjwdBAAAAAEDYz0AUrkfhaijYQI/C9SjcvrVASOF6FG6D2EAzMzMzs3KsQPYoXI/Z+hJB4XoUrse0oUBmZmZmZm67QB+F61HIWuZAPQrX4xKjOEEfhetROByzQK5H4XrFthRBhetRuE7f0kCamZmZmdL2QFK4HoXrFaNAPQrXoyzfDkFI4XoURif4QClcj8Li3xNBexSuRyGmuUAzMzMzCWgLQeF6FK4ofRJBcT0K15OF3kAfhetRxqERQaRwPQr3X+pAcT0K13CtFkEUrkfhTuABQXsUrkc0IBBB4XoUrkdF2EDXo3A9FqT5QOxRuB7FgsdAXI/C9dhA00DsUbgeBYi/QM3MzMzk1/pAAAAAAEQXEEG4HoXrkTnIQMP1KFwX9hdBzczMzDSx70DD9Shcjy2kQI/C9Shc6QNB9ihcjzJ30kBmZmZm9ub+QFK4HoUrZ+NArkfhegA1BkEfhetRuJ6TQKRwPQq/Og9BUrgehTua3ECkcD0KuQ8LQY/C9SgkHfRAUrgehQtt2kCamZmZmWadQJqZmZmJC+BAj8L1KAJcGEGPwvUoNI3tQHE9Ctct7gFB9ihcD0lEIkEAAAAAkPHZQDMzMzNzu+JAAAAAAODXzkBI4XoUfEkTQRSuR+E6tcdACtejcOJnGUEfhetRiOnmQNejcD2Kf65ApHA9CssfEEHXo3A9pDwAQWZmZmam1L1AKVyPwvWzt0DhehSuB6W5QMP1KFzPPwZBFK5H4Xqfm0DsUbgeAq8XQZqZmZmZBpNAcT0K1wuNB0EfhetRUegTQa5H4XqMtulAXI/C9Sj7pkCkcD0KF5XHQEjhehTkNRFBMzMzMzMtukCPwvUoLDz9QJqZmZnZ1bVA16NwPQpk1UCamZmZGTC+QI/C9SjY0PNAexSuR52z/kDXo3A9wFAOQexRuJpUBX5BMzMzM6NG/kDhehSuxzKxQArXo3A9uKFAAAAAAMCVuUC4HoXrwZTsQBSuR+Eals1APQrXo5yZ8EA9CtejcBi2QArXo3Bt2NBA4XoUrqv5FUFSuB6F+xDcQD0K16OOAg5BzczMzLjEAEFxPQrXw6fNQM3MzMwYof5A7FG4HoX71kCuR+F6FBXjQI/C9SjqMQtBcT0K16Ogs0C4HoXroVsBQeF6FK5kEBtBw/UoXE9p20DhehSus6PxQHE9Ctdj0cFA7FG4HitGGkFcj8L1+DTQQGZmZmbGAfVA9ihcj2aWAUHD9ShcpS8aQVyPwvUoyaJASOF6FDXMGUGPwvUoEN70QM3MzMyQNfdAFK5H4Xrm2UAAAAAAsHPkQOF6FK5HD8RAw/UoXIXPD0EUrkfhmkXGQDMzMzOqVhVBrkfheigzAkFxPQrXrfwfQcP1KFwZawVBhetRuB51qEDsUbgeJY3QQIXrUbjO4xFBKVyPwrWruECkcD0Kp9zRQM3MzMz8BtZAmpmZmdlitEDXo3A9ir2mQJqZmZk5+8FAmpmZmW3HBUFI4XoUrmbOQKRwPQoh4wpBpHA9CrML/UAfhetR/CYGQbgehevGrRBB16NwPYegKUEzMzMzs+34QArXo3BZGwZBSOF6FMTlA0HXo3A9ikWlQDMzMzPl5A1B7FG4HlVi3UCkcD0Kl6W1QHsUrkehGM9A9ihcj4LYv0D2KFyPclHUQBSuR+HeVxdBrkfhenL0BUH2KFyPosXFQIXrUbg+S/VA7FG4Pth8S0EK16NwSc8FQWZmZmZmsIJA9ihcj4KPxEDNzMzMzJ6eQAAAAADQEf9AAAAAAAA5u0AK16NwLajjQOxRuB4l/8pAj8L1KARfDkFxPQrXcVYOQWZmZmYSJfFAZmZmZuYftkAK16NwPRZ7QDMzMzOrluBA16NwPQqunUBxPQrXjwP0QPYoXI/eLPFAexSuRwEq7EApXI/CNbnXQOF6FK5TCfxAPQrXo7AstkDsUbgeqQ/1QB+F61E4369AexSuRz/gGUEUrkfhUsHuQHE9CtdzGfpAhetRuB6klkCamZmZsYn3QPYoXI+sChRB16NwPTwVDUFmZmZmPiQKQbgehevmFB1BUrgehSsV20DNzMzMIDAHQYXrUbie2tBA7FG4HoXKr0CkcD0KN87RQPYoXI9CcsxAPQrXo/B24UB7FK5Hs38AQR+F61FUwANBrkfhehRakkD2KFyPCnnmQClcj8KZYwRBMzMzMwstD0EAAAAAgGO3QLgehesxh85A9ihcj8IIrUCPwvUofEnEQOxRuB6dmPRAuB6F62FiA0EpXI/CLfzmQOF6FK4HSQxBH4XrUQRIFUHXo3A9yp3aQClcj8IVns9A4XoUrpa4EUEzMzMzE4PkQPYoXI8D5B9BKVyPwuK0EkGF61G4JqsRQdejcD3QhQBBAAAAADgS4UCPwvUo9SIXQaRwPQqXZ8dArkfherjUHUEAAAAAoNbDQB+F61H4ublArkfhehQhv0AzMzMz003CQHsUrkeHYAtBj8L1KNxR3kC4HoXrAVbmQLgehetRk5dAH4XrUbibpEBmZmZmZvZTQIXrUbi1exhBhetRuM662kDD9Shc97IBQXsUrkfhp6ZAFK5H4ZpNAkEK16NwzZ/VQI/C9Shcb29Aw/UoXC+ZxkBmZmZmJpu+QM3MzMwMXcJAmpmZmbFUBkF7FK5HezkAQcP1KFyjMAVBMzMzM0Mf0kDhehSut5ziQIXrUbiehsVAXI/C9TR7CEG4HoXrIaT3QMP1KFzsoBNBFK5H4fritkDD9ShcZ7oHQY/C9Si4ogpBMzMzMxuo4kDXo3A97oADQaRwPQqvQwNBPQrXo5CTx0CkcD0KxwrdQOF6FK7XrwZBpHA9CuZVFkH2KFyPRpYaQXsUrkcdYQFBw/UoXLW3CUHD9Shcq/sVQZqZmZlBqOdAMzMzM63gBUEzMzMzl038QHE9CteBSRlBrkfhegjjEUH2KFyPZscHQWZmZmbi3AxBCtejcGENAUGF61G4XkPPQB+F61EosddAH4XrUejtC0EfhetRGDbBQIXrUbhP7htBH4XrUTj1HEHD9ShcVxIUQcP1KFxPt8tAH4Xr8bnZREE9CtejcG2QQB+F61EYvN5AXI/C9Yh+/EAAAAAAVNr+QNejcD2yKORAmpmZmfEH7UAK16NwjzMTQZqZmZnZLrpAexSuR+H/x0DD9ShcDza4QGZmZmY23tVAw/UoXP/d40DXo3A9uuDVQM3MzMwwyvZA7FG4Hjlb8ECamZmZ1SMHQYXrUbjKPhBBCtejcD3iq0CF61G45injQNejcD26FhlBcT0K13l/EkE9CtejYELUQBSuR+F6BHBAZmZmZn7F40A9CtejMNHAQDMzMzOS9xJBUrgehet3s0AAAAAAzOgVQTMzMzMDLBxBPQrXo5Bw2UBmZmZmeU0TQYXrUbienMZAXI/C9YZlDEHXo3A9xhzyQHsUrkclygZBcT0K1+NSs0CF61G4drLiQK5H4fqobCBBrkfhemqSDUEAAAAAgCLKQD0K16OsH/lA7FG4HqFo+UA9CtejXswAQUjhehQ0FRBBj8L1KDxL10AUrkfh+m/AQAAAAAAAbIVAPQrXo9AFxkAAAAAA7vcFQY/C9Sh8IMFAPQrXo3CKp0BxPQrXgyfEQLgehethC99AH4XrUWIoD0FI4XoUAvgKQT0K16NgodNAAAAAAAjx/UAK16NwfSO8QDMzMzOfoPpAmpmZmYlR8kDNzMzMzPRxQKRwPQr/Xf1ASOF6FK4UsUBcj8L1oKLrQIXrUbgeJJRACtejcOuvAkFmZmZmVobwQKRwPQrTcRFBw/UoXI9ovUDhehSuncwAQQAAAABkZvVAH4XrUUgi0kApXI/CwUEOQXsUrkfhxZ5Aj8L1KJwOx0AUrkfhepvJQFyPwvWoIaJApHA9Crcb0EBxPQrXo+ukQJqZmZmZ/9lAUrgehUu41ED2KFyPaufiQEjhehQuJLhAXI/C9ag9ukDXo3A9XQ4mQVK4HoXrHaJAH4XrUbyeKUEAAAAA4DjDQOxRuB4JHPhAw/UoXA9o0EBSuB6F6yzHQOF6FK4D8fNAzczMzBy67kAfhesR2hA1QexRuB4XRAZBhetRuJZY50C4HoXrD2gPQUjhehSm4edAmpmZmTO7FEFSuB6FfJsTQSlcj8L1kI5ArkfhetRAzkDhehSuR2GZQJqZmZnfMhBB7FG4HijlGEFI4XoUDiAJQeF6FK7PEwhB4XoUDu9kUEFSuB6FWtgVQYXrUbgeRpJAexSuR6Gj9ECkcD0Ko/kJQexRuB6J+f5Aj8L1KFxJnEAzMzMzo0cAQT0K16NWNhVBKVyPwh1a8ED2KFyPwuqoQI/C9Sjc3cdAZmZmZhq7CEHhehSuB/TQQEjhehRSWw5BSOF6FH6f4kDXo3A9ajbLQFK4HoWZAQBBAAAAAMDC0EBSuB6Fa4v8QLgehevR8bhAmpmZmZnpmUApXI/CnSr/QKRwPQpfZvVAZmZmZnSjEUE9Ctej+GfuQEjhehROwdlAcT0K1zM/CkEfhetRuGPHQOF6FK6RyhNBw/UoXA9+tkCPwvUo7jMCQVK4HoUV1g9BUrgeheuarEBI4XoU3rTYQPYoXI+wvgJB9ihcj666+EBcj8L1hucDQTMzMzOTtOZA9ihcj4Jw10DXo3A9SuyyQGZmZmZm7L9AzczMzMyg3ECamZmZIlQVQY/C9SgcqAVBmpmZmZsdEkGkcD0KGPcRQTMzMzOjvPFArkfhepfwJUGamZmZgRYFQexRuB4lC+ZA4XoUrkdxeUDXo3A9mqkFQT0K16O1kRtBpHA9CncqxkDhehSubiAWQa5H4XoC6RZBMzMzM1M64kCPwvUo7DnVQHE9Ctf7m/hA16NwPUJy40AfhetRmNfGQKRwPQpPPPtAUrgehSe3CUFSuB6F7732QLgeheu5xAZBj8L1KJxrwEBmZmZmZujlQD0K16OwAcJACtejcH3XAUEUrkfhehQyQMP1KFyvzvZAj8L1KNplCEGamZmZmW6tQClcj8K1q8ZACtejcG02+UDsUbgeZcXzQB+F61H4MdtACtejcBEFBkEpXI/CdTsLQQrXo3CFheJAXI/C9aRZFEEUrkdh4oslQRSuR+Fyzy1B7FG4vvWsQkFSuB6FK223QI/C9Sg8J8RAcT0K1wOLzkCkcD0KS54DQZqZmZkHeQJB16NwPQqlikAzMzMzo2PXQPYoXA/FojhBCtejcG3S5UC4HoXrZUn1QFK4HoVrab1A16Nw/QbzPEFcj8L1CErEQM3MzMx8p+FAKVyPwh22AkFSuB6FC4zuQFK4HoVLSc9AMzMzMzMz4z+amZmZmd20QD0K16O0gPJApHA9CtdUo0AfhetR1x4cQWZmZmYewO1AMzMzM2tB6UA9CtejMLDIQBSuR+HKK9pApHA9Cqdc20BxPQrXIwXCQHE9Ctc9/hdBFK5H4VF7JkEAAAAAoPHSQOF6FK67agJBSOF6FA7z/0DNzMzMZGP1QB+F61HcjQpBZmZmZt6gB0FmZmZmausMQaRwPQpXCrRAw/UoXGX5F0H2KFyP4rz6QOxRuB4lpfRACtejcLtaAEGamZmZWem/QClcj8K1f7tAPQrXoxpwJEEK16NwPSjyQIXrUbgEBQNBrkfhek5AG0EpXI/C5ogTQexRuB4lv9RAj8L1KJxjx0AzMzMz01gHQSlcj8LjxgpB7FG4HlXG/0ApXI/CVVnBQBSuR+FGrPhA7FG4HmWP+UAAAAAA0BJjQY/C9Sh8HcFASOF6FBLRCEGamZmZ4XIJQR+F61H4TbNA9ihcj9KL2UC4HoXrES2/QM3MzMzsrslAcT0K14t69kD2KFyPitHuQK5H4XoUX6xA16NwPTiiA0GPwvUohO8BQY/C9ShgOfpArkfhejJmCUFSuB6F61CdQDMzMzMTxN1AhetRuN4zBkGkcD0KwxMLQQAAAABgcc5A4XoUrrcE1EBSuB6Fe6buQB+F61GPPRpBhetROM4SIEGuR+F6tJDPQGZmZmZmun5AH4Xr0XRBN0FxPQrXNWoKQdejcD1e7fNAzczMzACr+EBI4XrUfiIzQTMzMzMjCA1Bj8L1KNyTykCkcD0Koxr3QNejcD1KtP9Aw/UoXC9HwECPwvUo2AT8QLgehevRQ8BAzczMzIusFUEfhetRc44YQfYoXI/SQ9FAmpmZmclf0EDNzMzMLMTIQB+F61HYzNxAw/UoXF/I2UAzMzMzM2zCQIXrUbhWngFBmpmZma9AE0H2KFyPkjHiQFK4HoXttAdB16NwvePPKkEK16NwdT/6QOF6FK4v7uJAKVyPwj3D8EBI4XoUDqXOQNejcD3E4gFBj8L1KPxbwECF61G4RjnyQOxRuB57AwNB7FG4HoVavkAUrkfhSibmQPYoXI+SzOFACtejcP2CzkD2KFyPIuz6QPYoXI9am+FAcT0K1/tVD0HNzMzMNMEFQcP1KFxfkNRAzczMzOwXw0CPwvUoKCP7QAAAAABAgrRAcT0K10Nc6kAzMzMzSnwSQexRuB7Fn+dAmpmZmflR0EBmZmZmPYQaQa5H4XoUhKxApHA9CpfQvUDXo3A9kFoEQRSuR+H6XdZA7FG4HuWP0ECuR+F6FMD6QClcj8J1BLpAexSuR5hJFEEzMzMzUw7GQArXo3C5i/9APQrXI0nMOEF7FK5H6qcbQUjhehQ2oxlB4XoUrvPfCEEpXI/CtbywQKRwPQrX/8ZApHA9Cs+R5kDD9ShcRzL2QD0K16Nsf/RASOF6FAJr+EBmZmZmNkL2QNejcD3qG9JApHA9Civn+UApXI/C9eGeQFyPwvVIe8BAuB6F68kM6UAzMzMzs83VQB+F69H5eCNB7FG4Hq3O50AfhetRMBzsQHE9CtejecFAXI/C9XE5EEFSuB6F+8oGQXE9CtdjuABBrkfhetRnw0DhehSuR5mFQIXrUbiOI9BApHA9ClfEsEAzMzMz05fDQJqZmZn54uRAFK5H4Qg+C0HNzMzMHEDkQArXo3BVHR5BmpmZmbmD0UC4HoXrUeBtQK5H4XpyCApBCtejcCahFUGPwvUoXJ6/QIXrUbjuS9BAUrgeBSkUJkHNzMzMzLC8QDMzMzMTzvRAXI/C9ZBjF0EK16NwDfYUQSlcj8KbJgFBuB6F6zFG40ApXI/CDR/8QHsUrkfh8qtAFK5HYaHzIEEfhetR2E3GQOF6FK4Drv1AexSuR6EHukBxPQrXUL0dQWZmZmaoPAlBCtejENrrQkHNzMzMzHqHQHE9CtfTEAZBAAAAAGBv3kAfhetRuMSzQLgeheuRPrpASOF6FO6LvEAUrkfhcoDzQB+F61E4SMBAmpmZmRiGHUH2KFyPQmfEQGZmZmZ219hAcT0K18x6HEHXo3A9YkPyQFK4HoXLo8hAuB6F61FC1ECamZmZmc2SQArXo3B9yd9AKVyPwh0M9kDhehSu/+T7QGZmZmbkaQdBzczMzHqNBUE9Ctej0OjJQD0K16MuSRNBUrgeheubqEBxPQrXF634QDMzMzOP6AlBMzMzMycs+EDsUbgex44UQSlcj8L1y6BArkfherSzxkB7FK5H69ACQQAAAADi0AJB9ihcj8KszEAAAAAAsBYBQQrXo3AdJhlBpHA9CtcTfUBmZmam6hU3QXE9Ctfbug1Bw/UoXO1tCEHD9Shcz2jJQGZmZmYekOFAcT0K1wNsykAAAAAAiO/yQD0K16PI+gVBPQrXo8SuDkEK16NwHQHmQDMzMzPTZtFAPQrXo8zGCEE9CtejWJMXQVyPwvUoNoJArkfhepSSt0BmZmZmhgTPQFyPwvUoSapAuB6F699OBkEUrkfh4lgSQXsUrkd3YgVBUrgehUEhBkEzMzMzQfUCQbgeheujdQxBhetRuP6RDUFcj8L1hHIRQWZmZmaum/JAw/UoXP8G0EBSuB6FC6bgQOF6FK5F2CBBrkfherCCF0F7FK7H28UyQY/C9SicBd1A4XoUrkdgn0DhehSux1LBQM3MzMx4IP1AhetRuJ5Av0BmZmZmZo+9QNejcD2wohtBMzMzM2Mw9kA9Ctej3s4DQeF6FK53xPdArkfhukHVMUH2KFyPsMMYQRSuR+H6l7lASOF6FLS6C0HhehSu34fmQK5H4XqBLhdBrkfheqir/ECPwvUoGroJQT0K16MwQs5Arkfh+ggVIEFI4XoUzLMCQc3MzMzU0OdAzczMzOSN6kDsUbgeFYLoQDMzMzPzk8lA7FG4HgWXqUBxPQrXwyTDQKRwPQrvOfhASOF6FBgfEEFmZmZmsvMJQXE9Ctdx8QtBpHA9ChXHA0EAAAAAILbFQB+F61G4b7JArkfhergO9EAfhetRWIfSQJqZmZnkLhdBCtejcHmfB0EpXI9CiWkgQVyPwvWAt/lAPQrXI3k+IEEK16Nwg2ABQR+F61HYydJAj8L1KDQx9kCPwvUoLgIPQeF6FK4wvDRB7FG4HgWMwUDNzMzMHObaQAAAAADR7RBBexSuR9NZBkG4HoXr0af1QEjhehQufMJASOF6FM5v7ED2KFyvnN5CQQrXo3A9P8RAexSuRx2W8EAK16NwTWHQQJqZmZkB4+BAcT0K12RUFkFI4XoUc1AQQVK4HoVVpwxBuB6F663R+0BxPQrXY7TQQKRwPQpr0PFA16NwPQqankAUrkfhQtXqQFyPwvV4lRFBj8L1KBzU0EDXo3A9CmmCQKRwPQq3gQ9Bw/UoXGMZ9UD2KFyPwpyZQFyPwvVkB/xAH4XrUUgf0EAK16NwQ2YRQYXrUfhhozJB9ihcjwJ3vUDsUbgeRVG5QDMzMzPxEwZBZmZmZi7iEUF7FK5Hq/cfQSlcj8Kt2/5ACtejcH0QyUAUrkfhflEOQaRwPQplagNBFK5H4TrEvUCuR+F69HPoQD0K16NAP9FAAAAAALB800DsUbgeDQTgQGZmZmYGzNxAKVyPwvUjwUCamZm5QsVBQYXrUbjegfxAMzMzMye5EkEpXI/CdWK+QOxRuB6FIt5Aw/UoXG+60EDhehSuB/fzQKRwPQoXaMRAMzMzMzNvp0DD9Shcz1ffQArXo3CxIPNA7FG4Hoc7EUHD9Shcr4LAQOF6FK6xZA9BAAAAACjH/kAK16Nwh5kXQcP1KFyMSxZBpHA9CtMXEEEpXI/CbjIUQfYoXI83aRFBexSuR/EF50AUrkfhZPYCQT0K16OIoPlAUrgehd9aBEEUrkfh/sj3QOF6FK61kAlBcT0K12POvkAfhetRONGnQAAAAAA+yRJBZmZmZnoI90BI4XoUWqseQa5H4XqWfgJB7FG4HnVx1UDsUbgeW8wDQY/C9Sj8SsZAhetRuGTmBkGF61G41vHjQMP1KFwPzbhAKVyPwhnt8UBcj8L1aOO4QJqZmZmJxeZASOF6FM4GzEDXo3A9ShOwQK5H4Xr0asxAH4XrUSww8UBSuB6FC1fLQBSuR+GdzBBBXI/C9SiZo0B7FK5HcyYEQYXrUbgepXVASOF6FO7Z0kBxPQrXI3OrQJqZmZkZ6q5AUrgehWH+A0GuR+F6tJTlQLgehbON1GtB16NwPUoftkDXo3A9wjHlQJqZmZmZD7lAH4XrUTjgvUCamZmZxST2QClcj8IpevpAuB6F64GgBkGamZmZuYnTQK5H4XokYtpAzczMzI5lAUG4HoXrHFoRQRSuR+FelxJB7FG4HkUDsEDXo3A9KvTRQLgehesVMBhBpHA9ChshEUFcj8L1LEv6QOF6FK6H/rVA4XoUrqkwAkHD9ShcTyu9QPYoXI/KQuxAcT0K16NjkkCkcD0KU4b6QLgehes5vPtAmpmZmdm6vEDsUbgeZaHFQM3MzMy4dBVBAAAAAGi76kBI4XoUqq8bQXsUrkeIFCNBmpmZmZlOmkDXo3A9iu7JQClcj8L1WbBA7FG4HkVU2kCPwvUofEbNQArXo3A9OIlAAAAAAO0HFEGuR+F6FMyZQClcj8J1G69APQrXo7T09UAUrkfhZor1QMP1KFzpaBFBPQrXo5tKFUEfhetROOS2QBSuR+EDABBBuB6F65kY70AfhetRuNvBQHsUrkcxeQBBH4XrUbhAmEBcj8L1qJCjQDMzMzNL3/RAzczMzMwivUAAAAAAYHrTQFyPwvWo19FAZmZmZjhrKUHXo3A9Ehj0QGZmZmZG4gdBexSuR0FcAUFmZmZmGCIQQfYoXI/eUPNACtej8N8iK0FI4XoUPlPQQIXrUbjes8pAXI/C9ajWqkDNzMzM7N/XQJqZmZmhfuZAKVyPwk1240DhehSux7uuQPYoXI9Ob/BAPQrXo3ABykDhehSuR3jAQPYoXI9+nglBXI/C9fCmB0EfhetRODmzQHsUrkfBjepAmpmZmeuaAUEfhetRin4DQeF6FK4EwRZBw/UoXGPl+UDhehSuK/TyQHsUrkfVoQpBuB6F61E4hkBI4XoUTibdQIXrUbgenbtAPQrXo6Aq2EB7FK7HuzEhQdejcD0BOBtBSOF6FKSvCEG4HoXrsGoSQfYoXI+CacxAexSuR7U0CUFSuB6FyegKQeF6FK5HWqJAw/UoXFkEDEFxPQrX7wr9QArXo3Bdn8FAAAAAgGZzO0F7FK5HYc/LQHE9CtfTF9BAKVyPwgUV10A9Ctej0PjWQArXo3CCmxRBzczMzMgwG0EUrkfh+rbiQAAAAADUaQ1BUrgehTHkGUHsUbge8S/2QI/C9Si0Vv1AAAAAAABfv0DNzMzMnA/zQHE9CtfjRbZAUrgehZlnAkEpXI/CBVrgQI/C9Sh8osdAPQrXo4yV/ECPwvWotoElQfYoXI8foxNBw/UoXI/BqkBSuB6FafwEQexRuB7ZYvxAcT0K1z0hC0GF61G4XhnTQI/C9ShcyZVAXI/C9eig00BmZmZmJhTTQGZmZmZv+xFBZmZmZqaKyUAUrkfhuszLQMP1KFxP48BAUrgehetLrEBcj8L1kOMOQbgehev5VuVAuB6F69FhuEAUrkfhWvjJQGZmZmamNb1AH4XrUbhSeEDhehSut/0FQUjhehTuy8xAzczMzMwnsEDXo3A9WOsJQT0K16MUsfdAcT0K1194B0HsUbgeFREcQfYoXI86SfBArkfhepvcFEE9Ctej8BH7QK5H4Xpz1hZBhetRuL7JwEAAAAAA3jsSQRSuR+EJARBBSOF6FNBDBUGuR+F6ygQJQTMzMzNR1QJBPQrXoz3FEUHsUbge49gUQXsUrkfh18RAcT0K13ti40D2KFyPosrSQLgehevxochAKVyPwrU+40DD9Shc76DGQMP1KFwTigNBpHA9CpPW90CkcD0Kb2DjQArXo/DVzStBw/UoXI+QskDNzMzMkuEAQfYoXI9Cba1AXI/C9YiCFEHsUbgeVSMKQZqZmZlZwrJASOF6FPYs8kB7FK5HCTMQQRSuR+H6f7hApHA9CvfRxECkcD0K2zUeQVyPwvUo659AUrgeBQIwJEH2KFyP1swFQeF6FK7FPQRB16NwPfJbA0G4HoXrMerNQOxRuB6F6yhACtejcD9HAUF7FK5H4YWlQFK4HoVzbu9AZmZmZo5O/ECamZmZCSLYQK5H4XoIOv1Aj8L1KNoXAEHD9SjcfuQgQY/C9SgYuPVA16NwPTKg6UAfhetR2CvOQGZmZmbUWQlB9ihcT694MkF7FK5Hpw8DQY/C9ShcfZZAKVyPwiVU6kCPwvUo/BnMQM3MzMy8qNBASOF6FK4JiEDhehSuh+/HQPYoXI+mrPBAH4XrUXhjukDsUbgejHkdQTMzMzMM4hdBAAAAACD300BxPQrXeUAPQUjhehSCVvdAzczMzLw200AUrkfhuve2QK5H4XpolPZAexSuRwcXD0FSuB6FvzX/QAAAAABAnb5AhetRuFR2CkEK16NwdT0SQWZmZmb+Ce9AAAAAABCt/kDNzMzMEOn9QDMzMzPTdcBAXI/C9Xn/HUGamZmZtUEOQcP1KFxvEsJAj8L1KNzRAUE9CtejCB3+QB+F61EUDfRAXI/C9XgE0EBcj8L1iMrZQD0K16MMBhBBpHA9CrcBw0AK16NwM1oUQUjhehTeO9lAzczMzMxp40Bcj8L1KHx8QI/C9SieewBBPQrXo35gBkHsUbge5ZjDQB+F61HYy8tASOF6FMZ190DNzMzMlv4GQexRuB51VulAZmZmZkbhxECamZmZ170RQc3MzMxUfuZASOF6FC4IvEA9CtejsIO1QM3MzMxMs61ApHA9CjdWBUHD9ShcjwWfQHE9CtdZTxxBSOF6FC7CvEAAAAAAgDamQHsUrkdh3a9AAAAAAMD3wUDNzMzMzEiCQBSuR+F6PZJAMzMzM3M200A9CtejcE+bQMP1KFyzcfNAuB6F61EPpECF61G4uFsAQc3MzMxEv/5A7FG4HuS+HUFcj8L1yPLHQM3MzMzMUplApHA9Chezz0AzMzMzH7fzQB+F61G4xnNAKVyPwuuYCUE9Ctej8IO0QFK4HoXnlgdBzczMzGyd/kAAAAAA0LTiQFK4HoXvehBB16NwPcdcFEGuR+F6KhQEQT0K16PUr/NAPQrXo8IxDEEK16Nw/YniQOxRuB4k6x1BCtejcJ25yEAzMzMzMzeRQNejcD12dwNBSOF6FK6ulUAzMzMzQpgTQXE9CtcThdxAUrgehWtqvkB7FK6HK/wxQY/C9SjcsL9AZmZmZlbk7UBcj8J1eacnQT0K16Mwp+NAj8L1KICRF0GkcD0KqXsFQcP1KFwPfb9AZmZmZob75UCkcD0K1+tmQB+F61FyohlBzczMzMzNm0CamZmZWfTmQArXo3Adc81ACtejcH+3CUGPwvUoHPKzQGZmZmZmo5BAzczMzJohC0HsUbgeRQC5QJqZmZkFQgFBKVyPwnXi/kBmZmZmxtPJQHE9CteDLwdB16NwPUrRs0CuR+F60HH+QArXo3A9SZJA16NwPfUhFUFI4XoU+XgRQeF6FK43htFAMzMzM/ME1UBxPQrXWwPqQFK4HoVrysJASOF6FCrtAkGamZmZGVrJQI/C9Sise9FAAAAAACBq0ECuR+F6VHLPQFyPwvXMaQFBPQrXo2RLD0HXo3A9ekvWQLgehetRvZ1A7FG4HsVBsUBI4XoUrneNQPYoXI8IxgxBCtejcEYMEEFcj8L1rBgBQaRwPQonB9hAPQrXo3CA80DXo3A9Cs+lQPYoXI9gOgBBcT0K16PIbkBI4XoUsvLxQK5H4XqUyOxAmpmZmdnk7UAK16NwW90EQVK4HoXvRfVAMzMzM2VgCEEAAAAAHhECQSlcj8IhcglBexSuR52v8UBmZmZm7vT3QKRwPQrXoYpAmpmZmVnPvEAfhetRNTQWQVyPwvXOaBhBw/UoXL0yEkFcj8L1CJjIQOxRuB6FZsdA4XoUrtVFBkHD9ShcT9nBQHE9CtejIZtAuB6F6yJaG0EAAAAAMG0PQeF6FK5gmBdBcT0K1yN7ukAzMzMzc1/GQNejcD2WVvBApHA9CkWQAUFI4XoUgo4SQexRuB4mXhFBj8L1KPTx+EA9CtejsFvLQFK4HoUrYcZA16NwPQpct0BmZmZmpiyzQNejcD0KqQBBZmZmZujxAkH2KFyPcvrrQK5H4XoK6RJB7FG4HrH+AkGPwvUojJ3TQHsUrkeBbM1Aj8L1KBz9ukCamZmZRQX5QArXo3A90+tAMzMzMyuG4kDsUbgeXdb6QHsUrkchIddAKVyPwkOgCkEfhetRZDr1QHsUrkcRAflAhetRuG7g5kAUrkfhsoL7QFK4HoULP+NArkfhetBs90AUrkfhqBoSQQrXo3DDNABBuB6F6w7kE0HXo3A98oYMQexRuB5FGM5AhetRuP68zkB7FK5HWRfiQOF6FK5HLaZArkfhetzG60CuR+F6P8cdQR+F61Fg4gRBcT0K12Mv3EAK16NwJaAKQc3MzMz8xu5AXI/C9dxY/kCPwvUoXNuPQDMzMzONYA5BMzMzM04lFEFcj8L1zgoOQY/C9SjcgbFAUrgehfXiA0FSuB6FS13MQArXo7An4jVB7FG4Hp2F50DD9Shcj6DPQI/C9Sic6fVA7FG4HgVZuUB7FK5HsVYGQdejcD0KO7dAXI/C9ZzM9EDhehSuZw/GQArXo3ChnhRBZmZmZuZqvEBxPQrXwaMFQQAAAADgHvVApHA9CvULCUHsUbgecvQUQc3MzMzM9qdAUrgehevqy0D2KFyPJroRQRSuR+F6J5tAMzMzM9XIEEEUrkfhwoHrQHsUrkfp0AJBuB6F641e8EA9CtejuMjgQJqZmZk53QtBmpmZmeHEB0FxPQrXqyn7QAAAAAAMaRdBpHA9ClFkA0FSuB6FOY8MQUjhehTGd+xAFK5H4dpg1kApXI/CFVHEQKRwPQpN6wxBXI/C9QzZDUGkcD0K14+2QAAAAAAAd5pAUrgehcsV9UCPwvUoTAreQBSuR+EWj/dAFK5H4XpgpUApXI/CrU73QK5H4XqUzsVAMzMzM/1zNUFmZmZmXpMHQQAAAAC4dQBBPQrXo+BQ1EDXo3A9CrzWQM3MzMw4nQtBMzMzM9eM9EC4HoXrWT4mQbgehesRsb9AH4XrUXi3s0D2KFyPXpEMQVK4HgWxHSVBAAAAADR4CkGPwvUo1FnmQDMzMzPrcexAH4XrUQj87UA9CtejTiUFQY/C9ShWnB1BzczMzGxGxkCamZmZfQD/QKRwPQrztw5BpHA9Cot4/0AzMzMz01nDQArXo3CDyhJBuB6F6wmpDEGF61G4+lryQEjhehTueLJAFK5H4fqA0UD2KFyPYpfGQIXrUbiemdNA4XoUrjeZ/kAUrkfhvvsLQcP1KFwPGuJACtejcBd5BUFSuB6FpV4EQa5H4XoUJZVAmpmZmQWj+0DsUbgeZUrbQLgeheu/oxJB4XoUricR2UCuR+F61JbtQOF6FK6nauNAAAAAAHQuJUGF61G4foLYQKRwPQrXtaRA16NwPQoDmkCF61G43hyxQMP1KBz28DdB9ihcj3pa8UCPwvUoHLAUQYXrUbiq6xFBZmZmZqaJxUAfhetRssYaQZqZmZk54vZASOF6FD643EBmZmZmZuKpQOxRuB6FGsBAPQrXowi7/kBSuB6F89XiQIXrUbhQkQZBmpmZmbUjAEFI4XoUHNcGQTMzMzOzmctAhetRuCCmAkGF61G4nqHBQBSuR2HG1DFBj8L1KEie+kDsUbgeQGARQTMzMzOzUcBApHA9Cm21G0FmZmZmRSkbQeF6FK4npNRAcT0K15dR/EDNzMzMBnkNQZqZmZlTiwhBhetRuJY+9kC4HoXrP78LQQAAAACMBPVAH4XrUXjQyUApXI/CJSfVQEjhehRe09lAKVyPwrXfykCPwvUoHiIQQVK4HoXrRb9A4XoUrlc7GkFxPQrXk90XQY/C9ShMIgRBSOF6FJqN8kDhehSuR2FCQGZmZmYmzvBA7FG4HsVaz0Bcj8L1q3ceQWZmZmbJBhFBZmZmZjxVHUFI4XoUIIsIQTMzMzO0lhRBXI/C9ajc1EA9Ctej8AGlQI/C9ShcU51A4XoUrieHw0AK16NwvRSuQFK4HoVR7wVBcT0K1+fu8kAUrkfhBpMSQbgehev52uJAAAAAABDg7kCPwvUoBOAEQcP1KFxTwRBBuB6F69F10UBcj8L1qGHEQLgeheuBsQdBH4XrUQ5yAkF7FK7HckkkQZqZmZltuR1BMzMzM1MkwEC4HoXrVZgPQc3MzMz8hO9ASOF6FC4lqkCuR+F6dLHtQKRwPQpXbaZA16NwPUpaxUAUrkfhemSGQIXrUbimLPVA9ihcj0LYzUDNzMzMfMbjQLgehevDBxJBhetRuE7A6UDsUbge5UDMQKRwPQpcKiFBXI/C9SgoxUCuR+F69Z8iQUjhehSuLcZA4XoUrudm3UDsUbgeg1MBQQAAAAAQs9RA9ihcj0SmE0GuR+F6kCoQQVK4HoVXuwJBAAAAAChq5kDD9ShcD464QOxRuB4vaQZB7FG4Ht2P/0AzMzMzs7TOQEjhehSuX3lAAAAAAImaJkHhehSuc34qQdejcD3WQAFBrkfhegTm0ECuR+F6u20UQa5H4XpQnxtBKVyPwqS6EEEAAAAANJj+QClcj8IDIQBBmpmZmfldxUAzMzMzM7WIQBSuR+Ea+dNAMzMzMx/I+kCkcD0K2mEUQa5H4XqUb7ZAH4XroRNBUEG4HoXrIfbqQJqZmVn0szVBSOF6FDRHCEGkcD0K/2vjQB+F61FwzetACtejcD0uoEDXo3A9Sti0QGZmZmaygPpAexSuR3Z4EkEpXI/C9TnrQOF6FK4nA+xAuB6F663MB0FxPQrXoy3OQDMzMzMzU5BAj8L1KIWoHkEK16NwdfToQHsUrkf75RtBKVyPwiJaEkGkcD0K1wq+QHsUrkfRlf1AexSuR+EjwkAzMzMzZYYIQbgehetpTuRAPQrXo2hT7kCuR+F6aCzzQIXrUbgeNtxArkfheqjb/EDsUbgexSazQOF6FK6ncMBAhetRuB5XyEBSuB6FqzvLQFK4HoUK+RFBZmZmZg7i60BSuB6Fq5btQArXo3C5kQJBuB6F6wF56UCPwvUoWLIWQXsUrkehHbtAuB6F693pB0HsUbgeJcANQVK4HoXrWddApHA9ChcDykCkcD0K1+t6QM3MzMyMQLBAAAAAAACrk0DhehSuZ4/dQPYoXI9CeqlAPQrXo2LDFEGF61G4DhX9QJqZmZlnTwZBj8L1KMJnB0EAAAAAPLzwQHsUrkfhFNBAw/UoXH+g2UAfhetRmh4cQQAAAADA+rhAexSuRypAEkFcj8L1FuICQQrXo3CD5gBBMzMzMzPZ5UCkcD0KFyv4QOF6FK7jfvpA9ihcj8LclUAUrkfhSzsbQcP1KFzvZMBA16NwPaLV+EDD9Shc9x/wQArXo3BZefhAXI/C9ZMnHUFI4XoUbm/UQGZmZmZGnsJApHA9ChnkJ0HhehSu52/bQOxRuB7lANVAXI/C9cBTCUGkcD0KwZETQR+F61HQZ+RAw/UoXM9ws0BSuB6FA7vsQMP1KFyGrxhBexSuR3Go30AzMzMzT/v5QEjhehR0ghZBuB6F6zG4xECF61G43jjIQM3MzMzMoL1AUrgeheuqsEAK16Nw3UTAQDMzMzMTIMZAexSuR2HlsEDsUbge53sIQa5H4XrUX9NACtejcG3T2ECamZmZmfLEQKRwPQpPfgBB16NwPQqczUAUrkfh2h/QQJqZmZk5EcFAmpmZmb2s+UDhehSup2bNQArXo3A9GqhAuB6F66HH0EAUrkfhzIgAQfYoXI9l1h1BAAAAACCN1EDD9ShcK6zwQAAAAAAAv65AhetRePDVR0FmZmZmBpvKQI/C9SisEOJACtejcP3rsEC4HoXrGQz5QOF6FK7nSsxAmpmZmUQZF0G4HoXr0VmjQArXo3DF7PJAMzMzM61PHkFcj8L1bH8NQSlcj8K91A9BKVyPwoedEkHhehSuV0cUQTMzMzOrVvxA9ihcjxpA4UDD9ShcL/jRQOxRuB6lY9pAFK5H4QuLHEFSuB6FYTgBQR+F61FYfsxAzczMzHzp00BxPQrXr1X9QK5H4Xr0yf1AcT0K15PY3EAzMzMzM+7CQBSuR+GWHfdA9ihcj1Iv4kAzMzNzOqI4QexRuB6pVP1AzczMzMzm00AfhetRQDTpQPYoXI/GivhAcT0K1yNJ2UB7FK5HtUgGQcP1KFyE+RJBpHA9CpmEDEFI4XoUiBUbQeF6FK7rL/tA7FG4HqPBG0EUrkfh+iEaQaRwPQovKvtA9ihcj9MJFUFI4XoUksP8QNejcD2KfK9AKVyPwp3k9EC4HoXr1fsaQQrXo3A1qO1AuB6F61GkwEB7FK5HBVgCQR+F61HENQNBKVyPwvW0fkAK16Nwg+QHQWZmZmZOdBdB9ihcj8JHmUD2KFyP7lH4QNejcD3KVc9AzczMzHz58UApXI/ClZLbQJqZmZkZq7xAj8L1KAyF20DD9ShcVVAEQR+F61E4HslAuB6F63sOBEFI4XoUvHUCQbgehStlijRBcT0K1+cXDEFxPQrXj9QBQaRwPQq/TeFAPQrXo4RSFkHD9ShcULAWQc3MzMxCTwRB9ihcj8Lg2EApXI/CTXnvQOxRuB6FM4FACtejcGtiAkEpXI/CNQ+/QM3MzMzMM5dAFK5H4XIB9kAK16NwNRgZQeF6FK4HSbFAhetRuK7U5UAzMzMz2x4FQaRwPQrXcZlAzczMzMwfn0CPwvUoNAvxQPYoXI8i98RAMzMzM8RBEEEAAAAA7bgTQc3MzMxsiutA9ihcjwKLxUCPwvUonrcBQexRuB4JNvdAUrgeheurjEAAAAAAJHn/QFK4HoWrmOlA7FG4HkHk8EDD9ShcAC0QQaRwPQrAkRJB7FG4HoUPr0AzMzMzChEVQVK4HoXnyg1BPQrXoyAt1UA9Ctej4ADrQClcj8Kdb+9ASOF6FOILB0HNzMzMtHnnQB+F61FyBwtBUrgehYPY6EDNzMzMTBi9QFyPwvX7pRpBuB6F6xGruEAAAAAAQPTUQKRwPQoXNNJA4XoUrm8t8UDhehSuB3+wQK5H4XrCyzFBH4XrUY94GUEpXI/C5R7sQKRwPQofwQtBcT0K1+OGwEDsUbgeUZn9QHE9Cte/sPFA9ihcjzlxJUEUrkdhccUgQexRuB5lpM1AexSuR+F2nUCkcD0K10OfQHE9CtcjU8pAuB6F66sjGEH2KFyPwv/4QNejcD26S+RApHA9CuTLFkEpXI/CXZTyQBSuR+E6kLZAPQrXozB9xkC4HoXrESy8QNejcD2KVdpA4XoUruaTEUFxPQqXV3c5QR+F61Huqw9B4XoUrieFykCamZmZmYncQDMzMzNz/c9AAAAAAIDKoUDhehSuG8gAQcP1KFyfbdNAKVyPwgEm+kBI4XoUriqxQIXrUbgeU6FAw/UoXN0EC0G4HoXrjRABQcP1KFyrNPpAzczMzEzHsUBmZmZm5tajQFK4HoUKFRRBCtejcEFt+kDNzMzMOwgWQSlcj8J1XbZAPQrXo/A9rUDXo3A9umfTQMP1KFwvSNZAexSuR3F20ECkcD0K1xCrQPYoXI+8AglBPQrXo7qeD0E9CtejeoMGQdejcD0e9gxBMzMzM48x+kDD9ShcLzPPQI/C9Sgc5eJACtejcK1k40ApXI/C9YjBQClcj8K1UPVAexSuR2EEwUCPwvUo/b4aQfYoXI+iqMNAuB6F6x2gEUE9CtejmN/5QD0K16OgLvlApHA9ChjxGEEAAAAAADD5QK5H4XrIVP5AuB6F60sQGEHD9ShcN1PxQOxRuD4zaEVBH4XrUbokA0HNzMzMLHrLQGZmZmbG+P5AUrgehSsgvkAAAAAAgIugQNejcD1aqwN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Balance" }, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "Old Balance (Origin)" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "Transaction Amount" } } } }, "image/png": 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" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fraud_df = df[df['isFraud'] == 1]\n", "valid_sample = df[df['isFraud'] == 0].sample(n=10000, random_state=42)\n", "\n", "plot_df = pd.concat([fraud_df, valid_sample])\n", "plot_df['isFraud'] = plot_df['isFraud'].map({0: 'Valid (0)', 1: 'Fraud (1)'})\n", "\n", "fig2 = px.scatter(\n", " plot_df,\n", " x='oldbalanceOrg',\n", " y='amount',\n", " color='isFraud',\n", " title='Transaction Amount vs. Originating Balance',\n", " opacity=0.7,\n", " labels={'oldbalanceOrg': 'Old Balance (Origin)', 'amount': 'Transaction Amount'},\n", ")\n", "\n", "max_val = min(plot_df['oldbalanceOrg'].max(), plot_df['amount'].max())\n", "fig2.add_shape(\n", " type=\"line\", line=dict(dash='dash', color='gray'),\n", " x0=0, y0=0, x1=max_val, y1=max_val\n", ")\n", "\n", "fig2.show()" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "id": "V5UjcLp_h4jD" }, "outputs": [], "source": [ "# #Encoding the categorical 'type' column\n", "# from sklearn.preprocessing import LabelEncoder\n", "# encoder = LabelEncoder()\n", "# df['type_encoded'] = encoder.fit_transform(df['type'])\n", "\n", "# X = df.drop(['isFraud', 'isFlaggedFraud', 'nameOrig', 'nameDest', 'type'], axis=1)\n", "# y = df['isFraud']\n", "\n", "# print(\"Features selected for the model:\")\n", "# print(X.columns.tolist())" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "5qiVaFN7n5ZJ", "outputId": "bb4de0d9-9f25-421f-d489-d7d42a16c8fd" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Features selected for the model:\n", "['step', 'type', 'amount', 'oldbalanceOrg', 'newbalanceOrig', 'oldbalanceDest', 'newbalanceDest', 'errorBalanceOrig', 'errorBalanceDest']\n" ] } ], "source": [ "X = df.drop(['isFraud', 'isFlaggedFraud', 'nameOrig', 'nameDest'], axis=1)\n", "y = df['isFraud']\n", "\n", "print(\"Features selected for the model:\")\n", "print(X.columns.tolist())" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "id": "Plkv_3jxojbQ" }, "outputs": [], "source": [ "# encoding the type column and scaling the rest of columns of X\n", "from sklearn.preprocessing import OneHotEncoder, StandardScaler" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "id": "voLQKlpQqD3V" }, "outputs": [], "source": [ "from sklearn.model_selection import train_test_split" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "id": "jJaGMnkMqJA8" }, "outputs": [], "source": [ "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42, test_size=0.2, stratify=y)" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 443 }, "id": "xWoVnI-KrglY", "outputId": "b6fed327-d125-4293-8382-2e0c14f33079" }, "outputs": [ { "data": { "text/html": [ "
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steptypeamountoldbalanceOrgnewbalanceOrigoldbalanceDestnewbalanceDesterrorBalanceOrigerrorBalanceDest
29277915PAYMENT9914.7444248.0034333.260.000.000.009914.74
49976320PAYMENT6854.530.000.000.000.006854.536854.53
2970411231CASH_OUT361211.800.000.00489745.16850956.95361211.800.01
3137549236PAYMENT7083.510.000.000.000.007083.517083.51
1500682143CASH_IN218019.5113045685.5813263705.092438123.982220104.47436039.02436039.02
..............................
1524870153PAYMENT1895.990.000.000.000.001895.991895.99
5834821402CASH_OUT347110.99103785.000.0087871.75434982.74243325.990.00
4182953304PAYMENT13259.630.000.000.000.0013259.6313259.63
3985280298PAYMENT24122.920.000.000.000.0024122.9224122.92
1541412154PAYMENT6865.630.000.000.000.006865.636865.63
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5090096 rows × 9 columns

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" ], "text/plain": [ " step type amount oldbalanceOrg newbalanceOrig \\\n", "292779 15 PAYMENT 9914.74 44248.00 34333.26 \n", "499763 20 PAYMENT 6854.53 0.00 0.00 \n", "2970411 231 CASH_OUT 361211.80 0.00 0.00 \n", "3137549 236 PAYMENT 7083.51 0.00 0.00 \n", "1500682 143 CASH_IN 218019.51 13045685.58 13263705.09 \n", "... ... ... ... ... ... \n", "1524870 153 PAYMENT 1895.99 0.00 0.00 \n", "5834821 402 CASH_OUT 347110.99 103785.00 0.00 \n", "4182953 304 PAYMENT 13259.63 0.00 0.00 \n", "3985280 298 PAYMENT 24122.92 0.00 0.00 \n", "1541412 154 PAYMENT 6865.63 0.00 0.00 \n", "\n", " oldbalanceDest newbalanceDest errorBalanceOrig errorBalanceDest \n", "292779 0.00 0.00 0.00 9914.74 \n", "499763 0.00 0.00 6854.53 6854.53 \n", "2970411 489745.16 850956.95 361211.80 0.01 \n", "3137549 0.00 0.00 7083.51 7083.51 \n", "1500682 2438123.98 2220104.47 436039.02 436039.02 \n", "... ... ... ... ... \n", "1524870 0.00 0.00 1895.99 1895.99 \n", "5834821 87871.75 434982.74 243325.99 0.00 \n", "4182953 0.00 0.00 13259.63 13259.63 \n", "3985280 0.00 0.00 24122.92 24122.92 \n", "1541412 0.00 0.00 6865.63 6865.63 \n", "\n", "[5090096 rows x 9 columns]" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_train" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "id": "P8o-1_U-qUYN" }, "outputs": [], "source": [ "from sklearn.compose import ColumnTransformer\n", "# Define columns\n", "categorical_cols = ['type']\n", "numerical_cols = [col for col in X_train.columns if col not in categorical_cols]\n", "\n", "# Create ColumnTransformer\n", "preprocessor = ColumnTransformer(\n", " transformers=[\n", " ('cat', OneHotEncoder(handle_unknown='ignore'), categorical_cols),\n", " ('num', StandardScaler(), numerical_cols)\n", " ]\n", ")\n", "\n", "# Apply transformation\n", "X_processed = preprocessor.fit_transform(X_train)" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "H45VdxfKrLf9", "outputId": "3997e7a3-9bf6-4906-aa8b-3ca46a67ec29" }, "outputs": [ { "data": { "text/plain": [ "(5090096, 13)" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_processed.shape" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "id": "LLewkFuAruDx" }, "outputs": [], "source": [ "X_test_processed = preprocessor.transform(X_test)" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "1xGwxGTcr4zH", "outputId": "70e957f9-95db-40f2-8076-78c23504a231" }, "outputs": [ { "data": { "text/plain": [ "array([[ 0. , 0. , 0. , ..., -0.09089599,\n", " 1.13881228, -0.12594338],\n", " [ 1. , 0. , 0. , ..., -0.27261805,\n", " -0.00932257, 0.31762727],\n", " [ 0. , 0. , 0. , ..., -0.33310412,\n", " -0.32304575, -0.11253787],\n", " ...,\n", " [ 1. , 0. , 0. , ..., -0.2336567 ,\n", " 0.11603065, 0.48979238],\n", " [ 0. , 1. , 0. , ..., 0.2167386 ,\n", " -0.09371965, -0.1259434 ],\n", " [ 0. , 0. , 0. , ..., -0.26720315,\n", " 0.05860875, -0.12594338]])" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X_test_processed" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "id": "GbCKBOw9r6lJ" }, "outputs": [], "source": [ "from sklearn.ensemble import RandomForestClassifier" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "id": "u9MydJ_FsOKC" }, "outputs": [ { "data": { "text/plain": [ "\u001b[1;31mInit signature:\u001b[0m\n", "\u001b[0mRandomForestClassifier\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mn_estimators\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m100\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[1;33m*\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mcriterion\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'gini'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m 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\u001b[0mbootstrap\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0moob_score\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mn_jobs\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mrandom_state\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mverbose\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mwarm_start\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mclass_weight\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mccp_alpha\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0.0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mmax_samples\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mmonotonic_cst\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mDocstring:\u001b[0m \n", "A random forest classifier.\n", "\n", "A random forest is a meta estimator that fits a number of decision tree\n", "classifiers on various sub-samples of the dataset and uses averaging to\n", "improve the predictive accuracy and control over-fitting.\n", "Trees in the forest use the best split strategy, i.e. equivalent to passing\n", "`splitter=\"best\"` to the underlying :class:`~sklearn.tree.DecisionTreeClassifier`.\n", "The sub-sample size is controlled with the `max_samples` parameter if\n", "`bootstrap=True` (default), otherwise the whole dataset is used to build\n", "each tree.\n", "\n", "For a comparison between tree-based ensemble models see the example\n", ":ref:`sphx_glr_auto_examples_ensemble_plot_forest_hist_grad_boosting_comparison.py`.\n", "\n", "Read more in the :ref:`User Guide `.\n", "\n", "Parameters\n", "----------\n", "n_estimators : int, default=100\n", " The number of trees in the forest.\n", "\n", " .. versionchanged:: 0.22\n", " The default value of ``n_estimators`` changed from 10 to 100\n", " in 0.22.\n", "\n", "criterion : {\"gini\", \"entropy\", \"log_loss\"}, default=\"gini\"\n", " The function to measure the quality of a split. Supported criteria are\n", " \"gini\" for the Gini impurity and \"log_loss\" and \"entropy\" both for the\n", " Shannon information gain, see :ref:`tree_mathematical_formulation`.\n", " Note: This parameter is tree-specific.\n", "\n", "max_depth : int, default=None\n", " The maximum depth of the tree. If None, then nodes are expanded until\n", " all leaves are pure or until all leaves contain less than\n", " min_samples_split samples.\n", "\n", "min_samples_split : int or float, default=2\n", " The minimum number of samples required to split an internal node:\n", "\n", " - If int, then consider `min_samples_split` as the minimum number.\n", " - If float, then `min_samples_split` is a fraction and\n", " `ceil(min_samples_split * n_samples)` are the minimum\n", " number of samples for each split.\n", "\n", " .. versionchanged:: 0.18\n", " Added float values for fractions.\n", "\n", "min_samples_leaf : int or float, default=1\n", " The minimum number of samples required to be at a leaf node.\n", " A split point at any depth will only be considered if it leaves at\n", " least ``min_samples_leaf`` training samples in each of the left and\n", " right branches. This may have the effect of smoothing the model,\n", " especially in regression.\n", "\n", " - If int, then consider `min_samples_leaf` as the minimum number.\n", " - If float, then `min_samples_leaf` is a fraction and\n", " `ceil(min_samples_leaf * n_samples)` are the minimum\n", " number of samples for each node.\n", "\n", " .. versionchanged:: 0.18\n", " Added float values for fractions.\n", "\n", "min_weight_fraction_leaf : float, default=0.0\n", " The minimum weighted fraction of the sum total of weights (of all\n", " the input samples) required to be at a leaf node. Samples have\n", " equal weight when sample_weight is not provided.\n", "\n", "max_features : {\"sqrt\", \"log2\", None}, int or float, default=\"sqrt\"\n", " The number of features to consider when looking for the best split:\n", "\n", " - If int, then consider `max_features` features at each split.\n", " - If float, then `max_features` is a fraction and\n", " `max(1, int(max_features * n_features_in_))` features are considered at each\n", " split.\n", " - If \"sqrt\", then `max_features=sqrt(n_features)`.\n", " - If \"log2\", then `max_features=log2(n_features)`.\n", " - If None, then `max_features=n_features`.\n", "\n", " .. versionchanged:: 1.1\n", " The default of `max_features` changed from `\"auto\"` to `\"sqrt\"`.\n", "\n", " Note: the search for a split does not stop until at least one\n", " valid partition of the node samples is found, even if it requires to\n", " effectively inspect more than ``max_features`` features.\n", "\n", "max_leaf_nodes : int, default=None\n", " Grow trees with ``max_leaf_nodes`` in best-first fashion.\n", " Best nodes are defined as relative reduction in impurity.\n", " If None then unlimited number of leaf nodes.\n", "\n", "min_impurity_decrease : float, default=0.0\n", " A node will be split if this split induces a decrease of the impurity\n", " greater than or equal to this value.\n", "\n", " The weighted impurity decrease equation is the following::\n", "\n", " N_t / N * (impurity - N_t_R / N_t * right_impurity\n", " - N_t_L / N_t * left_impurity)\n", "\n", " where ``N`` is the total number of samples, ``N_t`` is the number of\n", " samples at the current node, ``N_t_L`` is the number of samples in the\n", " left child, and ``N_t_R`` is the number of samples in the right child.\n", "\n", " ``N``, ``N_t``, ``N_t_R`` and ``N_t_L`` all refer to the weighted sum,\n", " if ``sample_weight`` is passed.\n", "\n", " .. versionadded:: 0.19\n", "\n", "bootstrap : bool, default=True\n", " Whether bootstrap samples are used when building trees. If False, the\n", " whole dataset is used to build each tree.\n", "\n", "oob_score : bool or callable, default=False\n", " Whether to use out-of-bag samples to estimate the generalization score.\n", " By default, :func:`~sklearn.metrics.accuracy_score` is used.\n", " Provide a callable with signature `metric(y_true, y_pred)` to use a\n", " custom metric. Only available if `bootstrap=True`.\n", "\n", "n_jobs : int, default=None\n", " The number of jobs to run in parallel. :meth:`fit`, :meth:`predict`,\n", " :meth:`decision_path` and :meth:`apply` are all parallelized over the\n", " trees. ``None`` means 1 unless in a :obj:`joblib.parallel_backend`\n", " context. ``-1`` means using all processors. See :term:`Glossary\n", " ` for more details.\n", "\n", "random_state : int, RandomState instance or None, default=None\n", " Controls both the randomness of the bootstrapping of the samples used\n", " when building trees (if ``bootstrap=True``) and the sampling of the\n", " features to consider when looking for the best split at each node\n", " (if ``max_features < n_features``).\n", " See :term:`Glossary ` for details.\n", "\n", "verbose : int, default=0\n", " Controls the verbosity when fitting and predicting.\n", "\n", "warm_start : bool, default=False\n", " When set to ``True``, reuse the solution of the previous call to fit\n", " and add more estimators to the ensemble, otherwise, just fit a whole\n", " new forest. See :term:`Glossary ` and\n", " :ref:`tree_ensemble_warm_start` for details.\n", "\n", "class_weight : {\"balanced\", \"balanced_subsample\"}, dict or list of dicts, default=None\n", " Weights associated with classes in the form ``{class_label: weight}``.\n", " If not given, all classes are supposed to have weight one. For\n", " multi-output problems, a list of dicts can be provided in the same\n", " order as the columns of y.\n", "\n", " Note that for multioutput (including multilabel) weights should be\n", " defined for each class of every column in its own dict. For example,\n", " for four-class multilabel classification weights should be\n", " [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead of\n", " [{1:1}, {2:5}, {3:1}, {4:1}].\n", "\n", " The \"balanced\" mode uses the values of y to automatically adjust\n", " weights inversely proportional to class frequencies in the input data\n", " as ``n_samples / (n_classes * np.bincount(y))``\n", "\n", " The \"balanced_subsample\" mode is the same as \"balanced\" except that\n", " weights are computed based on the bootstrap sample for every tree\n", " grown.\n", "\n", " For multi-output, the weights of each column of y will be multiplied.\n", "\n", " Note that these weights will be multiplied with sample_weight (passed\n", " through the fit method) if sample_weight is specified.\n", "\n", "ccp_alpha : non-negative float, default=0.0\n", " Complexity parameter used for Minimal Cost-Complexity Pruning. The\n", " subtree with the largest cost complexity that is smaller than\n", " ``ccp_alpha`` will be chosen. By default, no pruning is performed. See\n", " :ref:`minimal_cost_complexity_pruning` for details. See\n", " :ref:`sphx_glr_auto_examples_tree_plot_cost_complexity_pruning.py`\n", " for an example of such pruning.\n", "\n", " .. versionadded:: 0.22\n", "\n", "max_samples : int or float, default=None\n", " If bootstrap is True, the number of samples to draw from X\n", " to train each base estimator.\n", "\n", " - If None (default), then draw `X.shape[0]` samples.\n", " - If int, then draw `max_samples` samples.\n", " - If float, then draw `max(round(n_samples * max_samples), 1)` samples. Thus,\n", " `max_samples` should be in the interval `(0.0, 1.0]`.\n", "\n", " .. versionadded:: 0.22\n", "\n", "monotonic_cst : array-like of int of shape (n_features), default=None\n", " Indicates the monotonicity constraint to enforce on each feature.\n", " - 1: monotonic increase\n", " - 0: no constraint\n", " - -1: monotonic decrease\n", "\n", " If monotonic_cst is None, no constraints are applied.\n", "\n", " Monotonicity constraints are not supported for:\n", " - multiclass classifications (i.e. when `n_classes > 2`),\n", " - multioutput classifications (i.e. when `n_outputs_ > 1`),\n", " - classifications trained on data with missing values.\n", "\n", " The constraints hold over the probability of the positive class.\n", "\n", " Read more in the :ref:`User Guide `.\n", "\n", " .. versionadded:: 1.4\n", "\n", "Attributes\n", "----------\n", "estimator_ : :class:`~sklearn.tree.DecisionTreeClassifier`\n", " The child estimator template used to create the collection of fitted\n", " sub-estimators.\n", "\n", " .. versionadded:: 1.2\n", " `base_estimator_` was renamed to `estimator_`.\n", "\n", "estimators_ : list of DecisionTreeClassifier\n", " The collection of fitted sub-estimators.\n", "\n", "classes_ : ndarray of shape (n_classes,) or a list of such arrays\n", " The classes labels (single output problem), or a list of arrays of\n", " class labels (multi-output problem).\n", "\n", "n_classes_ : int or list\n", " The number of classes (single output problem), or a list containing the\n", " number of classes for each output (multi-output problem).\n", "\n", "n_features_in_ : int\n", " Number of features seen during :term:`fit`.\n", "\n", " .. versionadded:: 0.24\n", "\n", "feature_names_in_ : ndarray of shape (`n_features_in_`,)\n", " Names of features seen during :term:`fit`. Defined only when `X`\n", " has feature names that are all strings.\n", "\n", " .. versionadded:: 1.0\n", "\n", "n_outputs_ : int\n", " The number of outputs when ``fit`` is performed.\n", "\n", "feature_importances_ : ndarray of shape (n_features,)\n", " The impurity-based feature importances.\n", " The higher, the more important the feature.\n", " The importance of a feature is computed as the (normalized)\n", " total reduction of the criterion brought by that feature. It is also\n", " known as the Gini importance.\n", "\n", " Warning: impurity-based feature importances can be misleading for\n", " high cardinality features (many unique values). See\n", " :func:`sklearn.inspection.permutation_importance` as an alternative.\n", "\n", "oob_score_ : float\n", " Score of the training dataset obtained using an out-of-bag estimate.\n", " This attribute exists only when ``oob_score`` is True.\n", "\n", "oob_decision_function_ : ndarray of shape (n_samples, n_classes) or (n_samples, n_classes, n_outputs)\n", " Decision function computed with out-of-bag estimate on the training\n", " set. If n_estimators is small it might be possible that a data point\n", " was never left out during the bootstrap. In this case,\n", " `oob_decision_function_` might contain NaN. This attribute exists\n", " only when ``oob_score`` is True.\n", "\n", "estimators_samples_ : list of arrays\n", " The subset of drawn samples (i.e., the in-bag samples) for each base\n", " estimator. Each subset is defined by an array of the indices selected.\n", "\n", " .. versionadded:: 1.4\n", "\n", "See Also\n", "--------\n", "sklearn.tree.DecisionTreeClassifier : A decision tree classifier.\n", "sklearn.ensemble.ExtraTreesClassifier : Ensemble of extremely randomized\n", " tree classifiers.\n", "sklearn.ensemble.HistGradientBoostingClassifier : A Histogram-based Gradient\n", " Boosting Classification Tree, very fast for big datasets (n_samples >=\n", " 10_000).\n", "\n", "Notes\n", "-----\n", "The default values for the parameters controlling the size of the trees\n", "(e.g. ``max_depth``, ``min_samples_leaf``, etc.) lead to fully grown and\n", "unpruned trees which can potentially be very large on some data sets. To\n", "reduce memory consumption, the complexity and size of the trees should be\n", "controlled by setting those parameter values.\n", "\n", "The features are always randomly permuted at each split. Therefore,\n", "the best found split may vary, even with the same training data,\n", "``max_features=n_features`` and ``bootstrap=False``, if the improvement\n", "of the criterion is identical for several splits enumerated during the\n", "search of the best split. To obtain a deterministic behaviour during\n", "fitting, ``random_state`` has to be fixed.\n", "\n", "References\n", "----------\n", ".. [1] L. Breiman, \"Random Forests\", Machine Learning, 45(1), 5-32, 2001.\n", "\n", "Examples\n", "--------\n", ">>> from sklearn.ensemble import RandomForestClassifier\n", ">>> from sklearn.datasets import make_classification\n", ">>> X, y = make_classification(n_samples=1000, n_features=4,\n", "... n_informative=2, n_redundant=0,\n", "... random_state=0, shuffle=False)\n", ">>> clf = RandomForestClassifier(max_depth=2, random_state=0)\n", ">>> clf.fit(X, y)\n", "RandomForestClassifier(...)\n", ">>> print(clf.predict([[0, 0, 0, 0]]))\n", "[1]\n", "\u001b[1;31mFile:\u001b[0m c:\\users\\nausad ali\\appdata\\local\\programs\\python\\python310\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\n", "\u001b[1;31mType:\u001b[0m ABCMeta\n", "\u001b[1;31mSubclasses:\u001b[0m " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "?RandomForestClassifier" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "id": "eSj7iyzQsGzt" }, "outputs": [], "source": [ "\n", "model = RandomForestClassifier()" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "id": "2L-QjQf2tFiY" }, "outputs": [ { "data": { "text/html": [ "
RandomForestClassifier()
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" ], "text/plain": [ "RandomForestClassifier()" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model.fit(X_processed, y_train)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "id": "0hPlpwzttLFh" }, "outputs": [], "source": [ "y_pred = model.predict(X_test_processed)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "from sklearn.metrics import accuracy_score, classification_report" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "acc = accuracy_score(y_test, y_pred)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.9999968566408177" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "acc" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", " 0 1.00 1.00 1.00 1270881\n", " 1 1.00 1.00 1.00 1643\n", "\n", " accuracy 1.00 1272524\n", " macro avg 1.00 1.00 1.00 1272524\n", "weighted avg 1.00 1.00 1.00 1272524\n", "\n" ] } ], "source": [ "print(classification_report(y_test, y_pred))" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from sklearn.metrics import ConfusionMatrixDisplay, confusion_matrix\n", "\n", "cm = confusion_matrix(y_test, y_pred)\n", "\n", "disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=model.classes_)\n", "disp.plot(cmap=plt.cm.Blues)\n", "plt.title('Confusion Matrix for Decision Tree Classifier')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['preprocessor1.pkl']" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import joblib\n", "\n", "# Recreate or reload your pipeline\n", "# (IMPORTANT: do NOT reuse old pickle internally)\n", "\n", "joblib.dump(preprocessor, \"preprocessor1.pkl\")" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['randomforestmodel.pkl']" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "joblib.dump(model, \"randomforestmodel.pkl\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "colab": { "provenance": [] }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "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": "3.10.2" } }, "nbformat": 4, "nbformat_minor": 4 }