{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "markdown", "source": [ "# Fraud Detection Project" ], "metadata": { "id": "Omy5vXug5k2c" } }, { "cell_type": "code", "execution_count": 1, "metadata": { "id": "eSvjbJp55fYt" }, "outputs": [], "source": [ "import pandas as pd" ] }, { "cell_type": "code", "source": [ "df = pd.read_csv('/content/synthetic_financial_data.csv')" ], "metadata": { "id": "iquO69CD5jZs" }, "execution_count": 2, "outputs": [] }, { "cell_type": "code", "source": [ "df.head()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 313 }, "id": "VRiRM6khFoFt", "outputId": "85c265ec-7cf2-401e-a1da-89b2ee941fba" }, "execution_count": 3, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " transaction_id customer_id merchant_id amount transaction_time \\\n", "0 1 1082 2027 5758.59 2023-01-01 00:00:00 \n", "1 2 1015 2053 1901.56 2023-01-01 00:00:01 \n", "2 3 1004 2035 1248.86 2023-01-01 00:00:02 \n", "3 4 1095 2037 7619.05 2023-01-01 00:00:03 \n", "4 5 1036 2083 1890.10 2023-01-01 00:00:04 \n", "\n", " is_fraudulent card_type location purchase_category customer_age \\\n", "0 0 MasterCard City-30 Gas Station 43 \n", "1 1 Visa City-47 Online Shopping 61 \n", "2 1 MasterCard City-6 Gas Station 57 \n", "3 1 Discover City-6 Travel 59 \n", "4 1 MasterCard City-34 Retail 36 \n", "\n", " transaction_description country \n", "0 Purchase at Merchant-2027 Slovakia \n", "1 Purchase at Merchant-2053 Montenegro \n", "2 Purchase at Merchant-2035 Germany \n", "3 Purchase at Merchant-2037 Switzerland \n", "4 Purchase at Merchant-2083 Croatia " ], "text/html": [ "\n", "
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12101520531901.562023-01-01 00:00:011VisaCity-47Online Shopping61Purchase at Merchant-2053Montenegro
23100420351248.862023-01-01 00:00:021MasterCardCity-6Gas Station57Purchase at Merchant-2035Germany
34109520377619.052023-01-01 00:00:031DiscoverCity-6Travel59Purchase at Merchant-2037Switzerland
45103620831890.102023-01-01 00:00:041MasterCardCity-34Retail36Purchase at Merchant-2083Croatia
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "df", "summary": "{\n \"name\": \"df\",\n \"rows\": 10000,\n \"fields\": [\n {\n \"column\": \"transaction_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2886,\n \"min\": 1,\n \"max\": 10000,\n \"num_unique_values\": 10000,\n \"samples\": [\n 6253,\n 4685,\n 1732\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"customer_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 28,\n \"min\": 1001,\n \"max\": 1100,\n \"num_unique_values\": 100,\n \"samples\": [\n 1056,\n 1048,\n 1051\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"merchant_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 28,\n \"min\": 2001,\n \"max\": 2100,\n \"num_unique_values\": 100,\n \"samples\": [\n 2017,\n 2043,\n 2002\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"amount\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2899.69967496466,\n \"min\": 10.61,\n \"max\": 9999.75,\n \"num_unique_values\": 9945,\n \"samples\": [\n 8305.76,\n 364.11,\n 4334.28\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"transaction_time\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 10000,\n \"samples\": [\n \"2023-01-01 01:44:12\",\n \"2023-01-01 01:18:04\",\n \"2023-01-01 00:28:51\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"is_fraudulent\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"card_type\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 4,\n \"samples\": [\n \"Visa\",\n \"American Express\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"location\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 50,\n \"samples\": [\n \"City-17\",\n \"City-9\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"purchase_category\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 6,\n \"samples\": [\n \"Gas Station\",\n \"Online Shopping\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"customer_age\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 15,\n \"min\": 18,\n \"max\": 70,\n \"num_unique_values\": 53,\n \"samples\": [\n 42,\n 67\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"transaction_description\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 100,\n \"samples\": [\n \"Purchase at Merchant-2017\",\n \"Purchase at Merchant-2043\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"country\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 46,\n \"samples\": [\n \"United Kingdom\",\n \"San Marino\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 3 } ] }, { "cell_type": "markdown", "source": [ "# Descriptive Analyze" ], "metadata": { "id": "JWGP5IIC-S1c" } }, { "cell_type": "code", "source": [ "# Let's look at columns\n", "df.columns" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "047bKRicztNc", "outputId": "3da1c706-a46d-49a5-a994-6a4fa4a27edd" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Index(['transaction_id', 'customer_id', 'merchant_id', 'amount',\n", " 'transaction_time', 'is_fraudulent', 'card_type', 'location',\n", " 'purchase_category', 'customer_age', 'transaction_description',\n", " 'country'],\n", " dtype='object')" ] }, "metadata": {}, "execution_count": 38 } ] }, { "cell_type": "code", "source": [ "# Let's look at info of dataset\n", "df.info()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "OZXgdx2s50n2", "outputId": "c434ffee-19f5-40b6-e3b1-24ea95a4ca22" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\n", "RangeIndex: 10000 entries, 0 to 9999\n", "Data columns (total 12 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 transaction_id 10000 non-null int64 \n", " 1 customer_id 10000 non-null int64 \n", " 2 merchant_id 10000 non-null int64 \n", " 3 amount 10000 non-null float64\n", " 4 transaction_time 10000 non-null object \n", " 5 is_fraudulent 10000 non-null int64 \n", " 6 card_type 10000 non-null object \n", " 7 location 10000 non-null object \n", " 8 purchase_category 10000 non-null object \n", " 9 customer_age 10000 non-null int64 \n", " 10 transaction_description 10000 non-null object \n", " 11 country 10000 non-null object \n", "dtypes: float64(1), int64(5), object(6)\n", "memory usage: 937.6+ KB\n" ] } ] }, { "cell_type": "code", "source": [ "# Let's describe dataset\n", "df.describe().T" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 238 }, "id": "k_EhebiD7yuU", "outputId": "c6c836cb-2ee1-4835-bc61-e1d2cd0fe717" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " count mean std min 25% \\\n", "transaction_id 10000.0 5000.500000 2886.895680 1.00 2500.750 \n", "customer_id 10000.0 1051.272300 28.864062 1001.00 1026.000 \n", "merchant_id 10000.0 2050.486600 28.877801 2001.00 2025.000 \n", "amount 10000.0 4958.381617 2899.699675 10.61 2438.175 \n", "is_fraudulent 10000.0 0.506800 0.499979 0.00 0.000 \n", "customer_age 10000.0 44.047500 15.321707 18.00 31.000 \n", "\n", " 50% 75% max \n", "transaction_id 5000.500 7500.2500 10000.00 \n", "customer_id 1052.000 1076.0000 1100.00 \n", "merchant_id 2050.000 2076.0000 2100.00 \n", "amount 4943.945 7499.3125 9999.75 \n", "is_fraudulent 1.000 1.0000 1.00 \n", "customer_age 44.000 57.0000 70.00 " ], "text/html": [ "\n", "
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countmeanstdmin25%50%75%max
transaction_id10000.05000.5000002886.8956801.002500.7505000.5007500.250010000.00
customer_id10000.01051.27230028.8640621001.001026.0001052.0001076.00001100.00
merchant_id10000.02050.48660028.8778012001.002025.0002050.0002076.00002100.00
amount10000.04958.3816172899.69967510.612438.1754943.9457499.31259999.75
is_fraudulent10000.00.5068000.4999790.000.0001.0001.00001.00
customer_age10000.044.04750015.32170718.0031.00044.00057.000070.00
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"df\",\n \"rows\": 6,\n \"fields\": [\n {\n \"column\": \"count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0,\n \"min\": 10000.0,\n \"max\": 10000.0,\n \"num_unique_values\": 1,\n \"samples\": [\n 10000.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"mean\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2292.500926754255,\n \"min\": 0.5068,\n \"max\": 5000.5,\n \"num_unique_values\": 6,\n \"samples\": [\n 5000.5\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"std\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1484.6379945200913,\n \"min\": 0.4999787574245405,\n \"max\": 2899.69967496466,\n \"num_unique_values\": 6,\n \"samples\": [\n 2886.8956799071675\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"min\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 833.6261800211571,\n \"min\": 0.0,\n \"max\": 2001.0,\n \"num_unique_values\": 6,\n \"samples\": [\n 1.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"25%\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1151.5355183858494,\n \"min\": 0.0,\n \"max\": 2500.75,\n \"num_unique_values\": 6,\n \"samples\": [\n 2500.75\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"50%\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2288.8604755068623,\n \"min\": 1.0,\n \"max\": 5000.5,\n \"num_unique_values\": 6,\n \"samples\": [\n 5000.5\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"75%\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 3541.173410841531,\n \"min\": 1.0,\n \"max\": 7500.25,\n \"num_unique_values\": 6,\n \"samples\": [\n 7500.25\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"max\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4803.441824402234,\n \"min\": 1.0,\n \"max\": 10000.0,\n \"num_unique_values\": 6,\n \"samples\": [\n 10000.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 40 } ] }, { "cell_type": "code", "source": [ "# Let's check null values in dataset\n", "df.isnull().any()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "YFCejyJE81La", "outputId": "a1a3030c-71bb-4031-be98-70a1a9940950" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "transaction_id False\n", "customer_id False\n", "merchant_id False\n", "amount False\n", "transaction_time False\n", "is_fraudulent False\n", "card_type False\n", "location False\n", "purchase_category False\n", "customer_age False\n", "transaction_description False\n", "country False\n", "dtype: bool" ] }, "metadata": {}, "execution_count": 41 } ] }, { "cell_type": "code", "source": [ "# Let's look at count of missin values\n", "df.isnull().sum()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ar5ZmYHD83W0", "outputId": "e81b104c-42e4-4fb0-df0a-1aa564f9e718" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "transaction_id 0\n", "customer_id 0\n", "merchant_id 0\n", "amount 0\n", "transaction_time 0\n", "is_fraudulent 0\n", "card_type 0\n", "location 0\n", "purchase_category 0\n", "customer_age 0\n", "transaction_description 0\n", "country 0\n", "dtype: int64" ] }, "metadata": {}, "execution_count": 42 } ] }, { "cell_type": "code", "source": [ "# Let's look at count of columns unique value\n", "df.nunique()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "vZobXWkqW4s2", "outputId": "6f3d9b9b-af5e-40d5-cdc2-936e7ba93eb5" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "transaction_id 10000\n", "customer_id 100\n", "merchant_id 100\n", "amount 9945\n", "transaction_time 10000\n", "is_fraudulent 2\n", "card_type 4\n", "location 50\n", "purchase_category 6\n", "customer_age 53\n", "transaction_description 100\n", "country 46\n", "dtype: int64" ] }, "metadata": {}, "execution_count": 43 } ] }, { "cell_type": "code", "source": [ "# Let's look at data types of columns\n", "df.dtypes" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Lf1ec8-286Tb", "outputId": "e3801f9e-2412-4232-c6fa-3991309bc4ea" }, "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "transaction_id int64\n", "customer_id int64\n", "merchant_id int64\n", "amount float64\n", "transaction_time object\n", "is_fraudulent int64\n", "card_type object\n", "location object\n", "purchase_category object\n", "customer_age int64\n", "transaction_description object\n", "country object\n", "dtype: object" ] }, "metadata": {}, "execution_count": 44 } ] }, { "cell_type": "code", "source": [ "# Let's select object columns and look at unique value\n", "for i in df.select_dtypes(include= 'object').columns:\n", " print(f'Columns: {i} | Values: {df[i].unique()}\\n ------------------------------------')" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Taijx5lY8-lT", "outputId": "8a60db16-ab85-4f59-b10a-092d94d36e58" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Columns: transaction_time | Values: ['2023-01-01 00:00:00' '2023-01-01 00:00:01' '2023-01-01 00:00:02' ...\n", " '2023-01-01 02:46:37' '2023-01-01 02:46:38' '2023-01-01 02:46:39']\n", " ------------------------------------\n", "Columns: card_type | Values: ['MasterCard' 'Visa' 'Discover' 'American Express']\n", " ------------------------------------\n", "Columns: location | Values: ['City-30' 'City-47' 'City-6' 'City-34' 'City-1' 'City-7' 'City-46'\n", " 'City-45' 'City-25' 'City-29' 'City-19' 'City-13' 'City-4' 'City-17'\n", " 'City-35' 'City-40' 'City-38' 'City-22' 'City-39' 'City-10' 'City-15'\n", " 'City-44' 'City-27' 'City-37' 'City-50' 'City-18' 'City-31' 'City-14'\n", " 'City-41' 'City-20' 'City-33' 'City-26' 'City-48' 'City-43' 'City-21'\n", " 'City-11' 'City-5' 'City-3' 'City-2' 'City-9' 'City-24' 'City-32'\n", " 'City-49' 'City-28' 'City-16' 'City-23' 'City-12' 'City-42' 'City-36'\n", " 'City-8']\n", " ------------------------------------\n", "Columns: purchase_category | Values: ['Gas Station' 'Online Shopping' 'Travel' 'Retail' 'Groceries'\n", " 'Restaurant']\n", " ------------------------------------\n", "Columns: transaction_description | Values: ['Purchase at Merchant-2027' 'Purchase at Merchant-2053'\n", " 'Purchase at Merchant-2035' 'Purchase at Merchant-2037'\n", " 'Purchase at Merchant-2083' 'Purchase at Merchant-2021'\n", " 'Purchase at Merchant-2033' 'Purchase at Merchant-2088'\n", " 'Purchase at Merchant-2077' 'Purchase at Merchant-2031'\n", " 'Purchase at Merchant-2052' 'Purchase at Merchant-2015'\n", " 'Purchase at Merchant-2020' 'Purchase at Merchant-2025'\n", " 'Purchase at Merchant-2004' 'Purchase at Merchant-2032'\n", " 'Purchase at Merchant-2040' 'Purchase at Merchant-2060'\n", " 'Purchase at Merchant-2063' 'Purchase at Merchant-2072'\n", " 'Purchase at Merchant-2056' 'Purchase at Merchant-2055'\n", " 'Purchase at Merchant-2005' 'Purchase at Merchant-2026'\n", " 'Purchase at Merchant-2018' 'Purchase at Merchant-2034'\n", " 'Purchase at Merchant-2036' 'Purchase at Merchant-2085'\n", " 'Purchase at Merchant-2071' 'Purchase at Merchant-2023'\n", " 'Purchase at Merchant-2006' 'Purchase at Merchant-2093'\n", " 'Purchase at Merchant-2003' 'Purchase at Merchant-2008'\n", " 'Purchase at Merchant-2011' 'Purchase at Merchant-2041'\n", " 'Purchase at Merchant-2078' 'Purchase at Merchant-2039'\n", " 'Purchase at Merchant-2009' 'Purchase at Merchant-2047'\n", " 'Purchase at Merchant-2086' 'Purchase at Merchant-2012'\n", " 'Purchase at Merchant-2051' 'Purchase at Merchant-2074'\n", " 'Purchase at Merchant-2095' 'Purchase at Merchant-2065'\n", " 'Purchase at Merchant-2016' 'Purchase at Merchant-2067'\n", " 'Purchase at Merchant-2075' 'Purchase at Merchant-2100'\n", " 'Purchase at Merchant-2068' 'Purchase at Merchant-2064'\n", " 'Purchase at Merchant-2099' 'Purchase at Merchant-2043'\n", " 'Purchase at Merchant-2050' 'Purchase at Merchant-2096'\n", " 'Purchase at Merchant-2028' 'Purchase at Merchant-2019'\n", " 'Purchase at Merchant-2014' 'Purchase at Merchant-2057'\n", " 'Purchase at Merchant-2076' 'Purchase at Merchant-2069'\n", " 'Purchase at Merchant-2048' 'Purchase at Merchant-2090'\n", " 'Purchase at Merchant-2070' 'Purchase at Merchant-2061'\n", " 'Purchase at Merchant-2092' 'Purchase at Merchant-2007'\n", " 'Purchase at Merchant-2089' 'Purchase at Merchant-2082'\n", " 'Purchase at Merchant-2002' 'Purchase at Merchant-2097'\n", " 'Purchase at Merchant-2081' 'Purchase at Merchant-2013'\n", " 'Purchase at Merchant-2046' 'Purchase at Merchant-2054'\n", " 'Purchase at Merchant-2094' 'Purchase at Merchant-2042'\n", " 'Purchase at Merchant-2059' 'Purchase at Merchant-2098'\n", " 'Purchase at Merchant-2024' 'Purchase at Merchant-2001'\n", " 'Purchase at Merchant-2084' 'Purchase at Merchant-2017'\n", " 'Purchase at Merchant-2058' 'Purchase at Merchant-2062'\n", " 'Purchase at Merchant-2049' 'Purchase at Merchant-2029'\n", " 'Purchase at Merchant-2079' 'Purchase at Merchant-2030'\n", " 'Purchase at Merchant-2022' 'Purchase at Merchant-2080'\n", " 'Purchase at Merchant-2073' 'Purchase at Merchant-2087'\n", " 'Purchase at Merchant-2038' 'Purchase at Merchant-2091'\n", " 'Purchase at Merchant-2010' 'Purchase at Merchant-2044'\n", " 'Purchase at Merchant-2045' 'Purchase at Merchant-2066']\n", " ------------------------------------\n" ] } ] }, { "cell_type": "code", "source": [ "# Let's exclude object and look at unique values\n", "for i in df.select_dtypes(exclude= 'object').columns:\n", " print(f'Columns: {i} | Values: {df[i].unique()} | Max: {df[i].max()} | Min: {df[i].min()}\\n ------------------------------------')" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "3oupfTUq9mNE", "outputId": "bda749b0-856e-482c-a4a5-b38846b565da" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Columns: transaction_id | Values: [ 1 2 3 ... 9998 9999 10000] | Max: 10000 | Min: 1\n", " ------------------------------------\n", "Columns: customer_id | Values: [1082 1015 1004 1095 1036 1032 1029 1018 1014 1087 1070 1012 1076 1055\n", " 1005 1028 1030 1065 1078 1072 1026 1092 1084 1090 1054 1058 1001 1098\n", " 1021 1044 1020 1049 1013 1046 1045 1034 1006 1094 1059 1069 1016 1011\n", " 1071 1038 1081 1080 1047 1074 1025 1091 1009 1085 1099 1048 1027 1086\n", " 1035 1088 1083 1010 1022 1060 1089 1042 1100 1008 1041 1052 1073 1064\n", " 1051 1019 1096 1075 1066 1097 1007 1077 1050 1068 1033 1002 1093 1056\n", " 1023 1039 1063 1003 1040 1031 1017 1061 1057 1067 1043 1053 1024 1062\n", " 1037 1079] | Max: 1100 | Min: 1001\n", " ------------------------------------\n", "Columns: merchant_id | Values: [2027 2053 2035 2037 2083 2021 2033 2088 2077 2031 2052 2015 2020 2025\n", " 2004 2032 2040 2060 2063 2072 2056 2055 2005 2026 2018 2034 2036 2085\n", " 2071 2023 2006 2093 2003 2008 2011 2041 2078 2039 2009 2047 2086 2012\n", " 2051 2074 2095 2065 2016 2067 2075 2100 2068 2064 2099 2043 2050 2096\n", " 2028 2019 2014 2057 2076 2069 2048 2090 2070 2061 2092 2007 2089 2082\n", " 2002 2097 2081 2013 2046 2054 2094 2042 2059 2098 2024 2001 2084 2017\n", " 2058 2062 2049 2029 2079 2030 2022 2080 2073 2087 2038 2091 2010 2044\n", " 2045 2066] | Max: 2100 | Min: 2001\n", " ------------------------------------\n", "Columns: amount | Values: [5758.59 1901.56 1248.86 ... 6333.64 2837.13 7209.43] | Max: 9999.75 | Min: 10.61\n", " ------------------------------------\n", "Columns: is_fraudulent | Values: [0 1] | Max: 1 | Min: 0\n", " ------------------------------------\n", "Columns: customer_age | Values: [43 61 57 59 36 19 40 55 70 27 46 34 41 64 62 44 60 51 28 42 23 45 65 24\n", " 30 35 32 58 66 22 39 53 21 29 38 56 48 37 33 47 18 67 63 31 68 49 50 52\n", " 26 54 20 25 69] | Max: 70 | Min: 18\n", " ------------------------------------\n" ] } ] }, { "cell_type": "markdown", "source": [ "# Data Preprocessing For Visualization" ], "metadata": { "id": "XSv32Xms-tZL" } }, { "cell_type": "code", "source": [ "# Let's divide transaction_time to date and time\n", "df[['transaction_date', 'transaction_time']] = df['transaction_time'].str.split(' ', expand=True)" ], "metadata": { "id": "cQvrHdTh1Unr" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Let's create new column like location_id\n", "df['location_id'] = df['location'].str.split('-', expand=True)[1]" ], "metadata": { "id": "2sjGv05f1WAM" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Let's create new age group column\n", "import numpy as np\n", "\n", "# Let's calculate quartiles\n", "q1 = int(np.percentile(df['customer_age'], 25))\n", "q2 = int(np.percentile(df['customer_age'], 50))\n", "q3 = int(np.percentile(df['customer_age'], 75))\n", "\n", "def group(x):\n", " if x < q1:\n", " return f'-{q1}'\n", " elif q1 <= x < q2:\n", " return f'{q1}-{q2}'\n", " elif q2 <= x < q3:\n", " return f'{q2}-{q3}'\n", " else:\n", " return f'{q3}+'\n", "\n", "df['Age_group'] = df['customer_age'].apply(lambda x: group(x))" ], "metadata": { "id": "43kI9CHg1V-L" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "# Exploratory Data Analysis" ], "metadata": { "id": "9H5oMvCA6iTi" } }, { "cell_type": "code", "source": [ "# Let's look at top n customer which do more transaction\n", "import matplotlib.pyplot as plt\n", "\n", "transaction_counts = df['customer_id'].value_counts().reset_index()\n", "transaction_counts.columns = ['customer_id', 'transaction_count']\n", "\n", "top_n = int(input('Please enter (top) n number you want to see top n customer:'))\n", "top_customers = transaction_counts.head(top_n)\n", "\n", "plt.figure(figsize=(10, 6))\n", "bars = plt.barh(top_customers['customer_id'].astype(str), top_customers['transaction_count'], color='skyblue')\n", "plt.xlabel('Transaction Count')\n", "plt.ylabel('Customer ID')\n", "plt.title(f'Top {top_n} Customers by Number of Transactions')\n", "plt.gca().invert_yaxis()\n", "plt.grid(axis='x', linestyle='--', alpha=0.7)\n", "\n", "for bar in bars:\n", " plt.text(bar.get_width() + 0.1, bar.get_y() + bar.get_height() / 2, f'{bar.get_width():.0f}', va='center')\n", "\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 581 }, "id": "XxDsFDrz1V5k", "outputId": "9b89eeb9-310a-4581-818b-717c91464d68" }, "execution_count": null, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Please enter (top) n number you want to see top n customer:12\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Let's look at top n merchant over transactions\n", "transaction_counts = df['merchant_id'].value_counts().reset_index()\n", "transaction_counts.columns = ['merchant_id', 'transaction_count']\n", "\n", "top_n = int(input('Please enter (top) n number you want to see top n Merchant:'))\n", "top_customers = transaction_counts.head(top_n)\n", "\n", "plt.figure(figsize=(10, 6))\n", "bars = plt.barh(top_customers['merchant_id'].astype(str), top_customers['transaction_count'], color='skyblue')\n", "plt.xlabel('Transaction Count')\n", "plt.ylabel('Merchant ID')\n", "plt.title(f'Top {top_n} Merchant by Number of Transactions')\n", "plt.gca().invert_yaxis()\n", "plt.grid(axis='x', linestyle='--', alpha=0.7)\n", "\n", "for bar in bars:\n", " plt.text(bar.get_width() + 0.1, bar.get_y() + bar.get_height() / 2, f'{bar.get_width():.0f}', va='center')\n", "\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 581 }, "id": "Q_xkZPXs1VtM", "outputId": "ae325b01-5280-43f0-91ff-9132e1a0887c" }, "execution_count": null, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Please enter (top) n number you want to see top n Merchant:5\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Let's find RFM score for customers\n", "rfm = df.groupby(['customer_id']).aggregate({'transaction_id':'count','amount':'sum'}).reset_index()\n", "rfm.columns = ['customer_id','transaction_count','total_amount']" ], "metadata": { "id": "ZZGHMv2l1VmL" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Let's create score of formula\n", "rfm['formula_score'] = rfm['transaction_count'] * rfm['total_amount']\n", "\n", "def scale(x):\n", " min = rfm['formula_score'].min()\n", " max = rfm['formula_score'].max()\n", " y = (x - min)/(max - min)\n", " return y\n", "\n", "rfm['formula_score'] = rfm['formula_score'].apply(lambda x: scale(x))" ], "metadata": { "id": "AcRGNmfN1Vju" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Let's create new column rfm score\n", "g1 = np.percentile(rfm['formula_score'], 30)\n", "g2 = np.percentile(rfm['formula_score'], 50)\n", "g3 = np.percentile(rfm['formula_score'], 70)\n", "g4 = np.percentile(rfm['formula_score'], 85)\n", "\n", "\n", "def rfm_func(x):\n", " if x < g1:\n", " return '1'\n", " elif g1 <= x < g2:\n", " return f'2'\n", " elif g2 <= x < g3:\n", " return f'3'\n", " elif g3 <= x < g4:\n", " return f'4'\n", " else:\n", " return f'5'\n", "\n", "rfm['rfm_score'] = rfm['formula_score'].apply(lambda x: rfm_func(x))" ], "metadata": { "id": "4JidUhy11Vhd" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Let's look at count of customer by rfm score\n", "rfm_counts = rfm['rfm_score'].value_counts().reset_index()\n", "rfm_counts.columns = ['rfm_score', 'customer_count']\n", "\n", "plt.figure(figsize=(10, 6))\n", "bars = plt.bar(rfm_counts['rfm_score'].astype(str), rfm_counts['customer_count'], color='skyblue')\n", "plt.xlabel('RFM Score')\n", "plt.ylabel('Count of Customers')\n", "plt.title('Count of Customers by RFM Score')\n", "plt.grid(axis='y', linestyle='--', alpha=0.7)\n", "\n", "for bar in bars:\n", " plt.text(bar.get_x() + bar.get_width() / 2, bar.get_height() - 0.5, f'{bar.get_height():.0f}', ha='center', va='bottom')\n", "\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 564 }, "id": "49OBfTR91Var", "outputId": "16b49e80-2104-4645-99aa-e6096f82f18a" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Let's look at average amount by rfm score\n", "avg_amount_by_rfm = rfm.groupby('rfm_score')['total_amount'].mean().reset_index()\n", "avg_amount_by_rfm.columns = ['rfm_score', 'average_amount']\n", "\n", "plt.figure(figsize=(10, 6))\n", "bars = plt.bar(avg_amount_by_rfm['rfm_score'].astype(str), avg_amount_by_rfm['average_amount'], color='skyblue')\n", "plt.xlabel('RFM Score')\n", "plt.ylabel('Average Transaction Amount')\n", "plt.title('Average Transaction Amount by RFM Score')\n", "plt.grid(axis='y', linestyle='--', alpha=0.7)\n", "\n", "for bar in bars:\n", " plt.text(bar.get_x() + bar.get_width() / 2, bar.get_height() - 10000, f'{bar.get_height():.2f}', ha='center', va='bottom')\n", "\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 564 }, "id": "2mwLcNAR1VT0", "outputId": "86660b4d-965b-4cc1-c4e2-08de7f9e6cd9" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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79y7c3d0RExODw4cPAwA0NDTQu3dv7Nq1S7wXbceOHcjNzZUUbHfu3MG1a9dgaWkp+alTpw6AF/eBvMzJyanIvPbu3YtWrVpBR0cHZmZmsLS0xPLlyyX3aT18+BByuVylj8KrW8bGxiIpKQmrVq1SyavgvrzCeb2OosaiVCqxYMEC1K5dG9ra2rCwsIClpSUuX74sGUuB6tWrSx4XXFqWmJgo7mP8+PFYs2YNLCws4OXlhaVLl6r0deLECXh6eor3kVlaWuKbb74BALFtwQf1hg0b/suRv/Dw4UMALz7EF1avXj3ExcUhPT1dEi9pvMW5ceMGLly4gDZt2ojn7N27d/Huu+9i7969RRY8hfdVUPw6ODioxF/e/8OHD2FnZycpgArGVLD9db3u+EtSu3ZtyWOZTIZatWqJlywCQL9+/aCtrS0WuMnJydi7dy98fHxKXbBv374doaGh2LhxI1q1aoXnz5+r/NGigIWFBTw9PSU/NWvWLLKtpaUlPD09sXHjRuzYsQP5+fn46KOPSpVTAblcDn9/f0RERCAuLg67du1C165dceTIEfESbuDF/4OS/g88fPgQtWvXVllEqLhzoPB7wd27dyEIAqZMmaLyHlSwuFNZvAcRUcl4DxsR/eccOXIEz549w6ZNm7Bp0yaV7cHBwejcuTMAoH///li5ciX279+Pnj17YsuWLXBxcYGrq6vYXqlUolGjRpg/f36R+yv84bioD3d///03evTogXbt2mHZsmWwtbWFpqYmAgMDxcUw1KFUKgEAH3/8MQYPHlxkm5dXgnxdRY1l1qxZmDJlCoYOHYrvv/8eZmZmkMvlGDt2rJjXyxQKRZF9Cy8tbjFv3jwMGTIEu3btwp9//okxY8Zg9uzZOHXqFOzt7XHv3j106tQJLi4umD9/PhwcHKClpYWQkBAsWLCgyP2+LaUZb1E2bNgAABg3bhzGjRunsn379u0qi+QUt6+i4iXtvyjFFTkFs9Sl3ffr7l9dpqameP/99xEcHIypU6di27ZtyM7OLtVKjgXatWsnrhLZvXt3NGrUCD4+PoiIiPjXK6QOHDgQw4YNQ3R0NLp27QoTE5PX7svc3Bw9evRAjx498O677yIsLAwPHz4U73Ura4XfCwr+z02YMAFeXl5FPodfo0L0ZrBgI6L/nODgYFhZWWHp0qUq23bs2IGdO3dixYoV0NXVRbt27WBra4vNmzfjnXfewZEjR/Dtt99KnuPs7IxLly6hU6dOr/19WNu3b4eOjg4OHjwo+c6lwMBASbsaNWpAqVQiMjJSMqNQeFVFS0tLGBoaIj8/H56enq+V0+vatm0bOnTogLVr10riSUlJ4gfd19GoUSM0atQI3333HU6ePIk2bdpgxYoV+OGHH7Bnzx5kZ2dj9+7dkhmcwpejFixecfXq1Vd+WCztcSz48Hvr1i2VbTdv3oSFhQX09fVL1derCIKAjRs3okOHDiqXwwIvFn8JDg4uclXT11GjRg0cOnQIqampklm2mzdvituBf2bHCn9x9L+ZgQNe7/LUO3fuSB4LgoC7d++q/GFi0KBB+OCDD3D27FkEBwejadOmaNCgwWvlaWBggGnTpsHX1xdbtmyRzGK9jg8//BAjRozAqVOnJJdi/1vNmzdHWFgYnj17hho1asDZ2RlXr1595XNq1KiBy5cvQ6lUSgrRwudAcQpmEjU1Nd/4exARSfGSSCL6T8nMzMSOHTvw/vvv46OPPlL5GT16NFJTU8Vlp+VyOT766CPs2bMHv/32G/Ly8iSXQwIv7j15+vQpVq9eXeT+Cl8SVxSFQgGZTCaZmXjw4IHKCpMFf6letmyZJL548WKV/nr37o3t27cX+cGsPL+TSaFQqMyWbN269bXvV0lJSUFeXp4k1qhRI8jlcvFS1YJZm5f3m5ycrFLwdu7cGYaGhpg9e7bKEu4vP1dfX7/IyzcLs7W1RZMmTbB+/XpJ0XL16lX8+eef6NatW+kGWYITJ07gwYMH8PX1LfK87devH44ePYqoqKgy2V+3bt2Qn5+PJUuWSOILFiyATCYTVzI0MjKChYUFjh07JmlX+PxUl76+vkoRWJJff/0Vqamp4uNt27bh2bNnYq4FunbtCgsLCwQEBCAsLEyt2bWi+Pj4wN7evlSrfJbEwMAAy5cvx/Tp09G9e3e1nhsdHS0upf+ynJwcHD58GHK5XPwjRe/evXHp0iXs3LlTpX3B/4Nu3bohOjpaUjjm5eVh8eLFMDAwKPGePysrK7z77rtYuXIlnj17prL9TX4vHFFVxxk2IvpP2b17N1JTU9GjR48it7dq1QqWlpYIDg4WC7N+/fph8eLFmDZtGho1aiTew1Hgk08+wZYtWzBy5EgcPXoUbdq0QX5+Pm7evIktW7bg4MGDaN68+Svz8vb2xvz589GlSxcMHDgQz58/x9KlS1GrVi1cvnxZbOfm5obevXtj4cKFiI+PF5f1v337NgDpzMScOXNw9OhRuLu7Y9iwYahfvz4SEhJw/vx5HDp0CAkJCa/1Gpbk/fffx8yZM+Hr64vWrVvjypUrCA4OLvbenZIcOXIEo0ePRp8+fVCnTh3k5eXht99+E4tS4EUhpqWlhe7du2PEiBFIS0vD6tWrYWVlJfmwaGRkhAULFuDTTz9FixYtMHDgQJiamuLSpUvIyMgQl8t3c3PD5s2bMX78eLRo0QIGBgbFfoCeO3cuunbtCg8PD/j5+YnL+hsbG6t8L97rCg4OhkKhKPLrGwCgR48e+Pbbb7Fp0yaMHz/+X++ve/fu6NChA7799ls8ePAArq6u+PPPP7Fr1y6MHTtWssz+p59+ijlz5uDTTz9F8+bNcezYMfF8fF1ubm44dOgQ5s+fDzs7Ozg5OcHd3f2VzzEzM8M777wDX19fxMTEYOHChahVqxaGDRsmaaepqYn+/ftjyZIlUCgUkkU1Xoempia++OILTJw4EQcOHECXLl3+VX/FXcJckidPnqBly5bo2LEjOnXqBBsbGzx//hy///47Ll26hLFjx4oz3BMnTsS2bdvQp08fDB06FG5ubkhISMDu3buxYsUKuLq6Yvjw4Vi5ciWGDBmCiIgIODo6Ytu2bThx4gQWLlyocn9jUZYuXYp33nkHjRo1wrBhw1CzZk3ExMQgPDwcT548UfluRiIqJ29hZUoiotfWvXt3QUdHR2UJ7pcNGTJE0NTUFJfDVyqVgoODQ5HLnBfIyckRAgIChAYNGgja2tqCqamp4ObmJsyYMUNITk4W2wEQ/P39i+xj7dq1Qu3atQVtbW3BxcVFCAwMFJcSf1l6errg7+8vmJmZCQYGBkLPnj2FW7duCQCEOXPmSNrGxMQI/v7+goODg6CpqSnY2NgInTp1ElatWlWq10sQXr2sf1FL7WdlZQlffvmlYGtrK+jq6gpt2rQRwsPDhfbt20uWji+uj8JLxd+/f18YOnSo4OzsLOjo6AhmZmZChw4dhEOHDkmet3v3bqFx48aCjo6O4OjoKAQEBAjr1q0TAAiRkZEqbVu3bi3o6uoKRkZGQsuWLYXff/9d3J6WliYMHDhQMDExEQCIS/wXt4z9oUOHhDZt2oj9de/eXbh+/bqkTcGxjI2NlcQLlnYvnGOBnJwcwdzcXGjbtm2R2ws4OTkJTZs2lfR59uzZUuUwePBgQV9fXxJLTU0Vxo0bJ9jZ2QmamppC7dq1hblz50q+JkAQXnydgp+fn2BsbCwYGhoKffv2FZ4/f17ssv6lGf/NmzeFdu3aCbq6ugKAVy7xX3Ae/f7778LkyZMFKysrQVdXV/D29hYePnxY5HPOnDkjABA6d+5cbL+FFZe/IAhCcnKyYGxsLDm/S7MUf3HHqbDS9JWSkiIsWrRI8PLyEuzt7QVNTU3B0NBQ8PDwEFavXq1y3OLj44XRo0cL1apVE7S0tAR7e3th8ODBkq8BiYmJEXx9fQULCwtBS0tLaNSokcq5X/B/Yu7cuUXmde/ePWHQoEGCjY2NoKmpKVSrVk14//33hW3btr1yPERUdmSC8AbuEiYiole6ePEimjZtig0bNsDHx+dtp0NUoV26dAlNmjTBr7/+ik8++eRtp0NEVK54DxsR0RuWmZmpElu4cCHkcjnatWv3FjIi+m9ZvXo1DAwM0KtXr7edChFRueM9bEREb9hPP/2EiIgIdOjQARoaGti/fz/279+P4cOHq3yFABH9Y8+ePbh+/TpWrVqF0aNHl8kKnkREFR0viSQiesNCQ0MxY8YMXL9+HWlpaahevTo++eQTfPvtt9DQ4N/RiIrj6OiImJgYeHl54bfffivVwhlERP91LNiIiIiIiIgqKN7DRkREREREVEGxYCMiIiIiIqqgeLPEG6RUKhEVFQVDQ0PJl+MSEREREVHVIggCUlNTYWdnB7m8+Hk0FmxvUFRUFFeAIyIiIiIi0ePHj2Fvb1/sdhZsb1DBalaPHz+GkZHRW86GiIiIiIjelpSUFDg4OJS44i0Ltjeo4DJIIyMjFmxERERERFTirVJcdISIiIiIiKiCYsFGRERERERUQbFgIyIiIiIiqqBYsBEREREREVVQLNiIiIiIiIgqqLdesD19+hQff/wxzM3Noauri0aNGuHcuXPidkEQMHXqVNja2kJXVxeenp64c+eOpI+EhAT4+PjAyMgIJiYm8PPzQ1pamqTN5cuX0bZtW+jo6MDBwQE//fSTSi5bt26Fi4sLdHR00KhRI4SEhEi2lyYXIiIiIiKisvJWC7bExES0adMGmpqa2L9/P65fv4558+bB1NRUbPPTTz/hl19+wYoVK3D69Gno6+vDy8sLWVlZYhsfHx9cu3YNoaGh2Lt3L44dO4bhw4eL21NSUtC5c2fUqFEDERERmDt3LqZPn45Vq1aJbU6ePIkBAwbAz88PFy5cQM+ePdGzZ09cvXpVrVyIiIiIiIjKikwQBOFt7fzrr7/GiRMn8Pfffxe5XRAE2NnZ4csvv8SECRMAAMnJybC2tkZQUBD69++PGzduoH79+jh79iyaN28OADhw4AC6deuGJ0+ewM7ODsuXL8e3336L6OhoaGlpifv+448/cPPmTQBAv379kJ6ejr1794r7b9WqFZo0aYIVK1aUKpeSpKSkwNjYGMnJyfweNiIiIiKiKqy0tcFb/eLs3bt3w8vLC3369EFYWBiqVauGzz77DMOGDQMAREZGIjo6Gp6enuJzjI2N4e7ujvDwcPTv3x/h4eEwMTERizUA8PT0hFwux+nTp/Hhhx8iPDwc7dq1E4s1APDy8kJAQAASExNhamqK8PBwjB8/XpKfl5cX/vjjj1LnUlh2djays7PFxykpKQCAvLw85OXlAQDkcjnkcjmUSiWUSqXYtiCen5+Pl2vq4uIKhQIymUzs9+U4AOTn55cqrqGhAUEQJHGZTAaFQqGSY3Fxjolj4pg4Jo6JY+KYOCaOiWPimF49psLbi/NWC7b79+9j+fLlGD9+PL755hucPXsWY8aMgZaWFgYPHozo6GgAgLW1teR51tbW4rbo6GhYWVlJtmtoaMDMzEzSxsnJSaWPgm2mpqaIjo4ucT8l5VLY7NmzMWPGDJX4hQsXoK+vDwCwtLSEs7MzIiMjERsbK7axt7eHvb09bt++jeTkZDFes2ZNWFlZ4erVq8jMzBTjLi4uMDExwYULFyQnauPGjaGlpSW5LxAAmjdvjpycHFy+fFmMKRQKtGjRAsnJyeLMIwDo6urC1dUVcXFxuH//vhg3NjZGvXr1EBUVhSdPnohxjolj4pg4Jo6JY+KYOCaOiWPimF49pvT0dJTGW70kUktLC82bN8fJkyfF2JgxY3D27FmEh4fj5MmTaNOmDaKiomBrayu26du3L2QyGTZv3oxZs2Zh/fr1uHXrlqRvKysrzJgxA6NGjULnzp3h5OSElStXituvX7+OBg0a4Pr166hXrx60tLSwfv16DBgwQGyzbNkyzJgxAzExMaXKpbCiZtgcHBwQHx8vTnvyrxMcE8fEMXFMHBPHxDFxTBwTx1T1xpSSkgJzc/OKfUmkra0t6tevL4nVq1cP27dvBwDY2NgAAGJiYiRFUkxMDJo0aSK2ef78uaSPvLw8JCQkiM+3sbFBTEyMpE3B45LavLy9pFwK09bWhra2tkpcQ0MDGhrSl77ggBdWcGBLGy/c7+vEZTJZkfHiclQ3zjFxTMXFOSaOCeCYistR3TjHxDEBHFNxOaob55g4JqDsx1TcdpV8StWqnLRp00ZlZuz27duoUaMGAMDJyQk2NjY4fPiwuD0lJQWnT5+Gh4cHAMDDwwNJSUmIiIgQ2xw5cgRKpRLu7u5im2PHjiE3N1dsExoairp164orUnp4eEj2U9CmYD+lyYWIiIiIiKgsvdWCbdy4cTh16hRmzZqFu3fvYuPGjVi1ahX8/f0BvKiSx44dix9++AG7d+/GlStXMGjQINjZ2aFnz54AXszIdenSBcOGDcOZM2dw4sQJjB49Gv3794ednR0AYODAgdDS0oKfnx+uXbuGzZs3Y9GiRZJFRr744gscOHAA8+bNw82bNzF9+nScO3cOo0ePLnUuREREREREZUp4y/bs2SM0bNhQ0NbWFlxcXIRVq1ZJtiuVSmHKlCmCtbW1oK2tLXTq1Em4deuWpE18fLwwYMAAwcDAQDAyMhJ8fX2F1NRUSZtLly4J77zzjqCtrS1Uq1ZNmDNnjkouW7ZsEerUqSNoaWkJDRo0EPbt26d2Lq+SnJwsABCSk5NL/RwiIiIiqnymTZsmAJD81K1bV9z+7Nkz4eOPPxasra0FPT09oWnTpsK2bdvE7UePHlV5fsHPmTNnxHYvfwa2t7cXAgICVHJZsGCBUKdOHUFHR0ewt7cXxo4dK2RmZpY61+IkJiYKn332mWBjYyNoaWkJtWvXlny+njVrltC8eXPBwMBAsLS0FD744APh5s2bar+W/1WlrQ3e6qIjVQ2/h42IiIiIAGD69OnYtm0bDh06JMY0NDRgYWEBAOjcuTOSkpKwZMkSWFhYYOPGjZg2bRrOnTuHpk2bIicnBwkJCZI+p0yZgsOHD+PevXuQyWRISUlBnTp14OnpicmTJ+PKlSsYOnQoFi5ciOHDhwMANm7ciKFDh2LdunVo3bo1bt++jSFDhqB///6YP39+qXItSk5ODtq0aQMrKyt88803qFatGh4+fAgTExO4uroCALp06YL+/fujRYsWyMvLwzfffIOrV6/i+vXr4orqldl/4nvYiIiIiIiqKg0NDXFhu8JOnjyJ5cuXo2XLlgCA7777DgsWLEBERASaNm0KLS0tyXNzc3Oxa9cufP7555DJZACA4OBg5OTkYN26ddDS0kKDBg1w8eJFzJ8/XyzYClZCHzhwIADA0dERAwYMwOnTp0uda1HWrVuHhIQEnDx5EpqammLfLztw4IDkcVBQEKysrBAREYF27dqVel+V3Vu9h42IiIiIqKq6c+cO7OzsULNmTfj4+ODRo0fittatW2Pz5s1ISEiAUqnEpk2bkJWVhXfffbfIvnbv3o34+Hj4+vqKsfDwcLRr1w5aWlpizMvLC7du3UJiYqK4n4iICJw5cwbAi+9JDgkJQbdu3Uqda3H5eHh4wN/fH9bW1mjYsCFmzZqlshz/ywq+48zMzOyVfVc1nGEjIiIiInrD3N3dERQUhLp16+LZs2eYMWMG2rZti6tXr8LQ0BBbtmxBv379YG5uDg0NDejp6WHnzp2oVatWkf2tXbsWXl5esLe3F2PR0dFwcnKStLO2tha3mZqaYuDAgYiLi8M777wDQRCQl5eHkSNH4ptvvil1rkW5f/8+jhw5Ah8fH4SEhODu3bv47LPPkJubi2nTpqm0VyqVGDt2LNq0aYOGDRuq/XpWZizYiIiIiIiKMOdCXPl1btMCAHAvH4CVHd6b8xsCvJtiyM9r0aLnx9gd8DUeR8XBb/l26Jua4drR/figdx+MWLsHNrWl32OcHBOFAwcPYmDAGknOkam5SI7LksRi7r+YWVt9PRFWWXG4f+4Efp/5A7p/HQCHhm6IfxyJ33/+FndlJug07MtS5VqUuMxc6JhawHnULITKFUCdGmg1ZCzmLVkC7R7+Ku3/mDURt85fxsh1e8v3dQfwddPi772riFiwERERERG9ZbqGxrCo7oz4x5GIfxyJ8M1rMXbr37B2dgEA2NZpiAcXTiF8yzp8+O3Pkuee2/079IzNUK9dF0nc0NwKaQmxklha/IvHhhZWAIDQZbPRtFtftPjwEwCATe36yMnMwM4fv0QHv3FFfoH0y7kWx8jCGnINTchf+lJpK6faSI17jrzcHGho/nOZ5q45X+Hm339i+JrdMLa2K/G1qmp4DxsRERER0VuWnZGGhCcPYGhhjdysTACATCb9qC6XyyEolZKYIAiI2P07mr3fF4r/L+5RoHrj5og8H4783FwxdvfUX7B0rAVdIxMAQE5WJmSFijJZQZFVzGLyL+danBquLRH/OBLKl/KNe3gPhhbWYrEmCAJ2zfkK14+G4NOVO2BWrUax/VVlLNiIiIiIiN6wkAXTcD/iBBKjHuHhpTPY8OUQyOUKuHbpBUvH2jB3cMLOH7/E46vnEf84En//tgx3T4ehfoeukn7unfkbiU8fonkRlyY26dIbCk1NbJ85FjH3buLywZ048ftqvOMzSmxTr50XTm8LxKWDO5Hw9CHunPoLoctmw6VtZ3F27FW5FtgyxR8HFn8vPnbv44vMlETsnfsNYh/ew82//8Rf6xbBo+9Qsc2uOV/hYsg29Ju1Atp6BkiNi0FqXIxYsNILvCSSiIiIiOgNS46JwqbJI5CRnAh9U3M4NnHHqPX7YWD64v6qIYt/x4FfvsevYz9GdkY6zB2c8NGMJXB55z1JP+d2BaOGawtYOdVW2YeOoRGGLt2K3XO+whIfT+iZmKHT8C/RsvcgsU2HT8cDMhn+XDoLKbHR0Dc1R722ndF59LelzhUAkqKfQCaXiY9NbKrBd8kW7Js3Bb/0aw8jK1u0HjAM7YeMEduc3hoIAFg9rKck74+m/wK3HgNe41WtnPjF2W8QvzibiIiI6L+jvBe/oLejoiw6UtragJdEEhERERERVVAs2IiIiIiIiCooFmxEREREREQVFAs2IiIiIiKiCooFGxERERERUQXFgo2IiIiIiKiCYsFGRERERERUQbFgIyIiIiIiqqBYsBEREREREVVQLNiIiIiIiIgqKBZsREREREREFRQLNiIiIiIiogqKBRsREREREVEFxYKNiIiIiIiogmLBRkREREREVEGxYCMiIiIiIqqgWLARERERERFVUCzYiIiIiIiIKigWbERERERERBUUCzYiIiIiIqIKigUbERERERFRBcWCjYiIiIiIqIJiwUZERERERFRBsWAjIiIiIiKqoFiwERERERERVVAs2IiIiIiIiCooFmxEREREREQVFAs2IiIiolKaPn06ZDKZ5MfFxUXcPmLECDg7O0NXVxeWlpb44IMPcPPmTUkfhZ8vk8mwadMmSZulS5eiXr160NXVRd26dfHrr79Ktr/77rtF9uPt7V1k3iNHjoRMJsPChQtLHOPSpUvh6OgIHR0duLu748yZMyXue+TIkSX2S0SvR+NtJ0BERET0X9KgQQMcOnRIfKyh8c/HKTc3N/j4+KB69epISEjA9OnT0blzZ0RGRkKhUIjtAgMD0aVLF/GxiYmJ+O/ly5dj8uTJWL16NVq0aIEzZ85g2LBhMDU1Rffu3QEAO3bsQE5Ojvic+Ph4uLq6ok+fPir57ty5E6dOnYKdnV2JY9u8eTPGjx+PFStWwN3dHQsXLoSXlxdu3boFKysrsd2wYcMwc+ZM8bGenl6JfRPR62HBRkRERKQGDQ0N2NjYFLlt+PDh4r8dHR3xww8/wNXVFQ8ePICzs7O4zcTEpNg+fvvtN4wYMQL9+vUDANSsWRNnz55FQECAWLCZmZlJnrNp0ybo6empFGxPnz7F559/joMHDxY7+/ay+fPnY9iwYfD19QUArFixAvv27cO6devw9ddfi+309PSKzZ+IyhYviSQiIiJSw507d2BnZ4eaNWvCx8cHjx49KrJdeno6AgMD4eTkBAcHB8k2f39/WFhYoGXLlli3bh0EQRC3ZWdnQ0dHR9JeV1cXZ86cQW5ubpH7Wrt2Lfr37w99fX0xplQq8cknn2DixIlo0KBBiePKyclBREQEPD09xZhcLoenpyfCw8MlbYODg2FhYYGGDRti8uTJyMjIKLF/Ino9LNiIiIiISsnd3R1BQUE4cOAAli9fjsjISLRt2xapqalim2XLlsHAwAAGBgbYv38/QkNDoaWlJW6fOXMmtmzZgtDQUPTu3RufffYZFi9eLG738vLCmjVrEBERAUEQcO7cOaxZswa5ubmIi4tTyenMmTO4evUqPv30U0k8ICAAGhoaGDNmTKnGFhcXh/z8fFhbW0vi1tbWiI6OFh8PHDgQGzZswNGjRzF58mT89ttv+Pjjj0u1DyJSHy+JJCIiokplzgXVoqbM2LQAANzLB2Blh/fm/IYA76YY8vNatOj5omjJatgFI4PdkBobg79/W4Z27/fCyMB90NR+MWum+f4o/F3QX2c/tLkXi6mzApDRdiAAQLf7KFS79gAtW7UCBAEGZpZo0q0vYtYvxpJriTCM1pSktDNgKWxq1ccRzZo48v+xP71+CUHzFuDzjUcQcDEeAJCco8ShJ2nIKub1SYlNAAD8eisJYTr/tDkdk4mojLx/XtcWvZAA4EIegPq26DpFD2tG9sLE3Wdh7uD0L17cV/u6qUW59U1UkXGGjYiIiOg16Roaw6K6M+IfR4oxHUMjWFR3hpNbawycuw6xD+7i2tGQYvtwaNgMyTFRyMvJBgBo6ujio+m/YOaJR5i09zy+CrkIUzsHaOsbQN9UWrTkZKbj0p870bznQEk88kI40hPiENCtCb5tYYNvW9gg6dljhCyYhgDvZkXmoWdiBrlCgbSEWEk8NeE5DM2tinwOADg0etHfy68BEZUdzrARERERvabsjDQkPHkAQ2/V1RkBAIIAQED+/4uxojy7dRW6RibQ0NKWxBWamjC2frGy4+WDO+HStjPkcunf2q+E7kZ+Tg6adJPuv6l3X9Ryby+JBfr3RVPvPnDrIS3uCmhoasGunivunTmGBh26AXhxH9y9M3/Do59fsflH3boKADC0sC62DRG9PhZsRERERKUUsmAaXNp1hqmtA1Jio3FoxU+QyxVw7dILCU8e4PKff6B2qw7QNzVH8vMohAX+Ag1tHdR958VCHjfCDiIt4TkcGjWHhpY27p4Ow9F1i9D2k8/EfcQ+vIcnV8/DoVEzZKYk4/iG5Yi+dxN9Zi5RyefcH8Go/25X6JtIV43UNzFTick1NGFgbgVLx1pibM2IXqjfoRta939x/1tbn5HYOu1zVKvfBA4NmuHExpXIycyAW48BAF7Mol08sAMubTyhZ2KKZ3euY9+8KXBq5gHbOiUvbEJE6mPBRkRERFRKyTFR2DR5BDKSE6Fvag7HJu4YtX4/DEwtkJKXh8gLp3Bi4ypkpiTBwNwSjs08MCowBAZmlgAAuYYGwresw955UwBBgLmDE7zHz0SLXp+I+xDy8/H3hmWIe3gPcg0NODd/B6MCQ2BqV12SS+yDu3hw8TSGLtv62uOJf/IAGUkJ4uPGXh8iLTEeh5YHIDX+OWzrNoTvks3iJZEKTS3cOx2GExtXIjczA8bWdmjY8X10+HT8a+dARK8mE15eR5bKVUpKCoyNjZGcnAwjI6O3nQ4REVGlVK6LjtBb8zYWHeG5VDlVlAVsSlsbcNERIiIiIiKiCooFGxERERERUQXFgo2IiIiIiKiCYsFGRERERERUQbFgIyIiIiIiqqBYsBEREREREVVQLNiIiIiIiIgqKBZsREREREREFRQLNiIiIiIiogqKBRsREREREVEFxYKNiIgqvenTp0Mmk0l+XFxcxO1ZWVnw9/eHubk5DAwM0Lt3b8TExIjbg4KCVJ5f8PP8+XOxXXBwMFxdXaGnpwdbW1sMHToU8fHxkly2bt0KFxcX6OjooFGjRggJCZFsHzJkiMo+unTp8srxzZ49Gy1atIChoSGsrKzQs2dP3Lp1S9JmxIgRcHZ2hq6uLiwtLfHBBx/g5s2bar+WRET0ZrFgIyKiKqFBgwZ49uyZ+HP8+HFx27hx47Bnzx5s3boVYWFhiIqKQq9evcTt/fr1kzz32bNn8PLyQvv27WFlZQUAOHHiBAYNGgQ/Pz9cu3YNW7duxZkzZzBs2DCxn5MnT2LAgAHw8/PDhQsX0LNnT/Ts2RNXr16V5NqlSxfJvn7//fdXji0sLAz+/v44deoUQkNDkZubi86dOyM9PV1s4+bmhsDAQNy4cQMHDx6EIAjo3Lkz8vPz/9XrSkRE5UvjbSdARET0JmhoaMDGxkYlnpycjLVr12Ljxo3o2LEjACAwMBD16tXDqVOn0KpVK+jq6kJXV1d8TmxsLI4cOYK1a9eKsfDwcDg6OmLMmDEAACcnJ4wYMQIBAQFim0WLFqFLly6YOHEiAOD7779HaGgolixZghUrVojttLW1i8y1OAcOHJA8DgoKgpWVFSIiItCuXTsAwPDhw8Xtjo6O+OGHH+Dq6ooHDx7A2dm51PsiIqI3izNsRERUJdy5cwd2dnaoWbMmfHx88OjRIwBAREQEcnNz4enpKbZ1cXFB9erVER4eXmRfv/76K/T09PDRRx+JMQ8PDzx+/BghISEQBAExMTHYtm0bunXrJrYJDw+X7AcAvLy8VPbz119/wcrKCnXr1sWoUaNULqssSXJyMgDAzMysyO3p6ekIDAyEk5MTHBwc1OqbiIjeLBZsRERU6bm7uyMoKAgHDhzA8uXLERkZibZt2yI1NRXR0dHQ0tKCiYmJ5DnW1taIjo4usr+1a9di4MCBklm3Nm3aIDg4GP369YOWlhZsbGxgbGyMpUuXim2io6NhbW39yv106dIFv/76Kw4fPoyAgACEhYWha9eupb50UalUYuzYsWjTpg0aNmwo2bZs2TIYGBjAwMAA+/fvR2hoKLS0tErVLxERvR28JJKIiCqMORfiyqdjmxYAgHv5AKzs8N6c3xDg3RRDfl4LTW1d5Auq+36WkYdTMZkq8YeXzuLGjRvo9O1iybaY+7ew9rPP0dbvS9T26IDUuBjsXzgDrfsMQe9piwAASgHY9SAVD196XvjjNGTkCf/0VffFDNz1PAA1bPF+wK+Y26MFRqzehVru7Uoc6h+zJuLW+csYuW6vSu5ZDbtgZLAbUmNj8Pdvy9Du/V4YGbgPmto6pXoZX8fXTS3KrW8ioqqAM2xERFTl6Boaw6K6M+IfR8LQ3Ar5uTnITE2WtEmLj4WhuZXKc8/9sQG2dRuiWn1XSfyvdYtQo0lLtBs8GrZ1GqBO6474YHIAzu3aiJTYFzNoBhZWSIt/LnleWnwsDIrYTwEze0fom5gj/nFkiePaNecr3Pz7TwxbtRPG1nYq23UMjWBR3RlObq0xcO46xD64i2tHQ4roiYiIKoq3WrD922WWAeDRo0fw9vaGnp4erKysMHHiROTl5Una/PXXX2jWrBm0tbVRq1YtBAUFqeSydOlSODo6QkdHB+7u7jhz5oxke2lyISKi/4bsjDQkPHkAQwtrVKvnCoWGJu6dOSZuj31wF0nRT1C9cXOV510O3YXmH/io9JmblQGZTPprVSZXSB5Xb9Qc9878LYndPR2msp+XJcdEISM5AYaW1sW2EQQBu+Z8hetHQ/Dpyh0wq1aj2LYvPQmAgPyc7JLbEhHRW/PWZ9j+zTLL+fn58Pb2Rk5ODk6ePIn169cjKCgIU6dOFdtERkbC29sbHTp0wMWLFzF27Fh8+umnOHjwoNhm8+bNGD9+PKZNm4bz58/D1dUVXl5eku/WKSkXIiKquEIWTMP9iBNIjHqEh5fOYMOXQyCXK+DapRd0DI3QvKcP9s2bintnj+Pp9UvYNn0MqjduoVJIXf7zDyjz89HUu4/KPuq188K1o/twamsgEp48wIOLp7Fn7jewb9gMRpYvVnxsM3A4bocfwd+/LcPzyDs4tOInPL1+ER79/AC8KAhDFkzHo8vnkBj1CHdPH8Ov4z6BmYMT6nh0EPe1ZkQvnNy0Rny8a85XuBiyDf1mrYC2ngFS42KQGheD3KxMAEDCkwf4a91CPL1+CUnPnuDhpTPYOMkPGto6qPuOdBEUIiKqWN76PWz/ZpnlP//8E9evX8ehQ4dgbW2NJk2a4Pvvv8dXX32F6dOnQ0tLCytWrICTkxPmzZsHAKhXrx6OHz+OBQsWwMvLCwAwf/58DBs2DL6+vgCAFStWYN++fVi3bh2+/vrrUuVCREQVV3JMFDZNHoGM5ETom5rDsYk7Rq3fDwPTF/dXeX/5PWQyGYIn+iIvJwd1PDrgg8kBKv2c+2MjGnT0hq6hsco2tx4DkJ2RhvDNaxGyYBp0DIzg3KItunzxzx8Ra7i2RP8fV+DPZbNxcMmPsKheEx/PXw+bWvUAAHK5AtF3ruH83s3ISk2GoaUNard6F+999jU0tLTFfuKfPEBGUoL4+PTWQADA6mE9JTl9NP0XuPUYAA1tHUReOIUTG1chMyUJBuaWcGzmgVGBITAws3z9F5aIiMrdWy/YCpZZ1tHRgYeHB2bPno3q1auXuMxyq1atEB4ejkaNGklW3PLy8sKoUaNw7do1NG3atNgllMeOHQsAyMnJQUREBCZPnixul8vl8PT0FJdZLk0uRcnOzkZ29j+XmqSkpAAA8vLyxMs25XI55HI5lEollEqlJAe5XI78/HwIglBiXKFQQCaTqVwOqlC8uByn8OpixcU1NDQgCIIkLpPJoFAoVHIsLs4xcUwcE8f0umMCAJmg/P/lei8IMjkgkxUfV0pzFGQv9fN/A2etKDIOZT4EuQKaWtro+dVs9PxqdkHyL9oLgqT9Z4F7/x9XQibJRQbI5Gjdzw9t+g5Vib+ce+NO76ORZw/pmP4/Bk1tHQxdtrXoMb2Uy9d7zr6I/7/POeekq1kKcsU/7ZX5MDa3xNBfNhY5JgjKV46puHipj5MgvPlzr7zHpMa598r4y8fpn0EVfZzEeNUdk1KpfOPve7L/v0fwOFWuMeXn51eI37mFtxfnrRZsBcss161bF8+ePcOMGTPQtm1bXL16tVTLLBe3PHLBtle1SUlJQWZmJhITE5Gfn19km5s3b4p9qLvkMwDMnj0bM2bMUIlfuHAB+vr6AABLS0s4OzsjMjISsbGxYht7e3vY29vj9u3b4vfpAEDNmjVhZWWFq1evIjMzU4y7uLjAxMQEFy5ckLzRNG7cGFpaWjh37pwkh+bNmyMnJweXL18WYwqFAi1atEBycrI4dgDQ1dWFq6sr4uLicP/+fTFubGyMevXqISoqCk+ePBHjHBPHxDFxTK87JkAH5smPoZOTLsYTDW2RrmsK68RIaOT980ewOJPqyNIygF3CHche+sUabeaMfLkGqsXdkozpqUVdKJR5sEm4J8YEuRxPLVygk5sOi6RHYjxPQxvRZs7Qz0qCaeozMZ6lpY84kxowyoiHUfo/uafrmiDR0A6madHQz0wS4yn6lkjRt6zSY0pO1n7j5555piaPUyUcU1RU7ht/37NLzeNxqoRjun07oUL8zk1P/+f1eRWZ8HI5+JYlJSWhRo0amD9/PnR1deHr6yuZoQKAli1bokOHDggICMDw4cPx8OFDyf1oGRkZ0NfXR0hICLp27Yo6derA19dXMoMWEhICb29vZGRkIDExEdWqVcPJkyfh4eEhtpk0aRLCwsJw+vRpbNy4scRcilLUDJuDgwPi4+NhZGQEoOr99Zxj4pg4Jo7pVWP66VJChf6rbGX8S3N5j2lSM6s3fu7Nu5zA41QJxzSxqeUbf9+bdymex6kSjmlCE4sK8Ts3JSUF5ubmSE5OFmuDorz1SyJfZmJigjp16uDu3bt47733kJOTg6SkJMnMVkxMjHjPm42NjcpqjgUrN77cpvBqjjExMTAyMoKuri4UCgUUCkWRbV7uo6RciqKtrQ1tbW2VuIaGBjQ0pC99wQEvrODAljZeuN/XictksiLjxeWobpxj4piKi3NMHBNQ8MtbNZdi4/KixyrI1IjLZGrG5RCKyKW4eFUek0z24sGbPPcKPtDxOFWuMRUc4zf5vie+HjxOlWpMBefK2/6dW9x2lXxK1eoNSUtLw71792Braws3Nzdoamri8OHD4vZbt27h0aNH4kyYh4cHrly5IlnNMTQ0FEZGRqhfv77Y5uU+CtoU9KGlpQU3NzdJG6VSicOHD4ttSpMLERERERFRWXurM2wTJkxA9+7dUaNGDURFRWHatGlQKBQYMGAAjI2N4efnh/Hjx8PMzAxGRkb4/PPP4eHhIS7y0blzZ9SvXx+ffPIJfvrpJ0RHR+O7776Dv7+/OLM1cuRILFmyBJMmTcLQoUNx5MgRbNmyBfv27RPzGD9+PAYPHozmzZujZcuWWLhwIdLT08VVI0uTCxERERERUVl7qwXbkydPMGDAAMTHx8PS0hLvvPMOTp06BUvLF0sML1iwAHK5HL1790Z2dja8vLywbNky8fkKhQJ79+7FqFGj4OHhAX19fQwePBgzZ84U2zg5OWHfvn0YN24cFi1aBHt7e6xZs0Zc0h8A+vXrh9jYWEydOhXR0dFo0qQJDhw4IFmIpKRciIiIiIiIylqFWnSksktJSYGxsXGJNxYSEVVVcy7Eve0UqIx93dTije+T51HlxHOJysrbOJeKUtraoELdw0ZERERERET/YMFGRERERERUQbFgIyIiIiIiqqBYsBEREREREVVQLNiIiIiIiIgqKBZsRPSfMWfOHMhkMowdOxYA8ODBA8hksiJ/tm7dKnluUFAQGjduDB0dHVhZWcHf31/cNn369CL70NfXF9vk5uZi5syZcHZ2ho6ODlxdXXHgwAHJPorqx8XFpdTj27RpE2QyGXr27CmJFzfGuXPnlrpvIiIi+m96q9/DRkRUWmfPnsXKlSvRuHFjMebg4IBnz55J2q1atQpz585F165dxdj8+fMxb948zJ07F+7u7khPT8eDBw/E7RMmTMDIkSMl/XTq1AktWrQQH3/33XfYsGEDVq9eDRcXFxw8eBAffvghTp48iaZNm4rtGjRogEOHDomPNTRK9zb74MEDTJgwAW3btlXZVniM+/fvh5+fH3r37l2qvomIiOi/iwUbEVV4aWlp8PHxwerVq/HDDz+IcYVCARsbG0nbnTt3om/fvjAwMAAAJCYm4rvvvsOePXvQqVMnsd3LhZ+BgYHYHgAuXbqE69evY8WKFWLst99+w7fffotu3boBAEaNGoVDhw5h3rx52LBhg9hOQ0NDJaeS5Ofnw8fHBzNmzMDff/+NpKQkyfbC/e3atQsdOnRAzZo11doPERER/ffwkkgiqvD8/f3h7e0NT0/PV7aLiIjAxYsX4efnJ8ZCQ0OhVCrx9OlT1KtXD/b29ujbty8eP35cbD9r1qxBnTp1JLNd2dnZ0NHRkbTT1dXF8ePHJbE7d+7Azs4ONWvWhI+PDx49elTi+GbOnAkrKytJ3sWJiYnBvn37StWWiIiI/vtYsBFRhbZp0yacP38es2fPLrHt2rVrUa9ePbRu3VqM3b9/H0qlErNmzcLChQuxbds2JCQk4L333kNOTo5KH1lZWQgODlYpiLy8vDB//nzcuXMHSqUSoaGh2LFjh+RyRXd3dwQFBeHAgQNYvnw5IiMj0bZtW6Smphab8/Hjx7F27VqsXr26NC8H1q9fD0NDQ/Tq1atU7YmIiOi/jZdEEtG/NudCXLn0mxT9FEv9x2Dosq1YeCMNQBoepeUi93mmyj5zszIR+FswOg77UrLt6JNU5ObmovWY73HByg0A0OqbJZj1XgOMXP0H6rTuKOnn4oEdSE5NRXKz9yX91Px0Ki59Px51XVwgk8lgZu8I1/f749zu3/9pZ/Pinrd7+QCs7PDenN8Q4N0UQ35eixY9P1YZX3Z6Ghb188EHk3/GmscAHsfhSkIWslJzin1N5y9fDZfOvcTXo7x83dSi3PomIiKi0mPBRkQV1tMbl5CWEIslPv/ce6bMz8eD8+E4tWUtvj/1FHKFAgBw5dAe5GZloun7fSV9GFpYAwCsa9YVYwamFtA3MUdS9FOVfZ7buQEubTvD0NxKEjcwtcAn839FbnYWMpITYWRpgwO/fA+zajWKzV/X0BgW1Z0R/ziyyO3xTyKRGPUIv479p5gTlEoAwLctbDB+RzjMHZzEbZHnwxH74C4GzCndbBwRERH997FgI6IKq1bLdvhiyzFJbNv0MbB0rI32Qz4XizUAOLcrGPXae8HAVDozVKOJOwAg9sFdGFvbAQAykhORnhQPE1t7SduEpw9x/9xxfLJgA4qjqa0DYytb5Ofm4urhPWj83gfFts3OSEPCkwcw9O5T5HZLx9oq4wtdNhvZ6Wl4f+KPMLapJtl2blcwqtVzhW2dhsXuk4iIiCoXFmxEVGFp6xvAplY9SUxLVw96xqaSeNyj+3hwPhyDf/ldpQ/LGs6o/25X7P35W3z43Txo6xvi4OIfYOlYG87N35G0PbdrIwwtrFG3TSeVfh5diUDK82ewq9sQyc+f4fDKuRAEAe2GfC62CVkwDS7tOsPU1gEpsdE4tOInyOUKuHb5536zLVP8YWRlgy6fT4Gmto7K+HQMjQBAJZ6VlooroXvgPX5GSS8bERERVSIs2IjoPy9i10YYWduhtkeHIrf3mbkU++Z9h6AxAyGTy1GzWWv4LtkMhaam2EapVOL8nk1o1r2/ZOauQF5OFkKXzUbC04fQ0tNH3Tae6PvDMugaGottkmOisGnyCGQkJ0Lf1ByOTdwxav1+yaxfUvQTyOQytcd4+eBOAAJcvbjYCBERUVUiEwRBeNtJVBUpKSkwNjZGcnIyjIyM3nY6RGWmvBYdobfnbS06wnOp8nkb5xLPo8qJ5xKVlYqysFZpawMu609ERERERFRBsWAjIiIiIiKqoFiwERERERERVVAs2IiIiIiIiCooFmxEREREREQVFAs2IiIiIiKiCooFGxERERERUQXFgo2IiIiIiKiCYsFGRERERERUQbFgIyIiIiIiqqBYsBEREREREVVQLNiIiIiIiIgqKBZsREREREREFRQLNiIiIiIiogqKBRsREREREVEFxYKNiIiIiIiogmLBRkREREREVEGxYCMiIiIiIqqgWLARERERERFVUCzYiIiIiIiIKigWbERERERERBUUCzYqd3PmzIFMJsPYsWPF2IgRI+Ds7AxdXV1YWlrigw8+wM2bN4t8fnx8POzt7SGTyZCUlCTZFhwcDFdXV+jp6cHW1hZDhw5FfHy8pE1SUhL8/f1ha2sLbW1t1KlTByEhIeL25cuXo3HjxjAyMoKRkRE8PDywf//+V44pKCgIMplM8qOjoyNpk5aWhtGjR8Pe3h66urqoX78+VqxYUYpXjIiIiIjoBbULto4dO6p8aAaAlJQUdOzYsSxyokrk7NmzWLlyJRo3biyJu7m5ITAwEDdu3MDBgwchCAI6d+6M/Px8lT78/PxUng8AJ06cwKBBg+Dn54dr165h69atOHPmDIYNGya2ycnJwXvvvYcHDx5g27ZtuHXrFlavXo1q1aqJbezt7TFnzhxERETg3Llz6NixIz744ANcu3btlWMzMjLCs2fPxJ+HDx9Kto8fPx4HDhzAhg0bcOPGDYwdOxajR4/G7t27S/XaERERERFpqPuEv/76Czk5OSrxrKws/P3332WSFFUOaWlp8PHxwerVq/HDDz9Itg0fPlz8t6OjI3744Qe4urriwYMHcHZ2FrctX74cSUlJmDp1qsqsV3h4OBwdHTFmzBgAgJOTE0aMGIGAgACxzbp165CQkICTJ09CU1NT3N/LunfvLnn8448/Yvny5Th16hQaNGhQ7PhkMhlsbGyK3X7y5EkMHjwY7777rjjmlStX4syZM+jRo0exzyMiIiIiKlDqGbbLly/j8uXLAIDr16+Ljy9fvowLFy5g7dq1klkLIn9/f3h7e8PT0/OV7dLT0xEYGAgnJyc4ODiI8evXr2PmzJn49ddfIZernqoeHh54/PgxQkJCIAgCYmJisG3bNnTr1k1ss3v3bnh4eMDf3x/W1tZo2LAhZs2aVeRMHgDk5+dj06ZNSE9Ph4eHxyvzTktLQ40aNeDg4FDkjFzr1q2xe/duPH36FIIg4OjRo7h9+zY6d+78yn6JiIiIiAqUeoatSZMm4r06RV36qKuri8WLF5dpcvTftWnTJpw/fx5nz54tts2yZcswadIkpKeno27duggNDYWWlhYAIDs7GwMGDMDcuXNRvXp13L9/X+X5bdq0QXBwMPr164esrCzk5eWhe/fuWLp0qdjm/v37OHLkCHx8fBASEoK7d+/is88+Q25uLqZNmya2u3LlCjw8PJCVlQUDAwPs3LkT9evXLzb3unXrYt26dWjcuDGSk5Px888/o3Xr1rh27Rrs7e0BAIsXL8bw4cNhb28PDQ0NyOVyrF69Gu3atVP79SQiIiKiqqnUBVtkZCQEQUDNmjVx5swZWFpaitu0tLRgZWUFhUJRLklS+ZhzIa5c+k2Kfoql/mMwdNlWLLyRBiANj9Jykfs8U7LPrIZdMDLYDamxMfj7t2Vo934vjAzcB01tHeydNwWwqYknDbpgzoU43L+TDABYcDkeuoZ5AICY+7ew9rPP0dbvS9T26IDUuBjsXzgDrfsMQe9piwAAcZm50DG1gPOoWQiVK4A6NdBqyFjMW7IE2j38xVzycs0xMvgIstNSceXwbvT1GYRha3bBumbdogepUxtoVBtRAgAje7Sasgone7fGoBkL0PmzyQCAY78uxdmwExi0YANMbO0ReT4cw0Z9hmMZ+qjl3r7sX/j/+7qpRbn1TURERERvVqkLtho1agAAlEpluSVDlcPTG5eQlhCLJT6dxJgyPx8Pzofj1Ja1+P7UU8gVCugYGkHH0AgW1Z3h0Lg5ZravjWtHQ9CkSy/cP/s3ou/ewNUWewAAgiAAAH7oWBfvDh2H90Z9hb/WLUKNJi3RbvBoAIBtnQbQ0tXDSr/ueO+zyTCytIGRhTXkGpqQv/THBCun2kiNe4683BxoaL6Y0dPQ1IJF9ZoAgGr1XfHk2kWc3LgKH343r1RjVmhqws6lEeIfRwIAcrMy8eeSH/HxvCC4tO0s5vfs9lUc+3VpuRZsRERERFR5qL3oCADcuXMHR48exfPnz1UKuKlTp5ZJYvTfVatlO3yx5Zgktm36GFg61kb7IZ9LiieRIAAQkJ+TDQDwmRuI3OwscfOTaxewfcYXGL5mD8wdHAEAuVkZkCukp7BMLu27hmtLXDywA0qlUrwPLu7hPRhaWIvFWlEEpRJ5udmlHTKU+fmIuXsDddq8uF8vPy8P+Xm5kBW6904uV4jFJxERERFRSdQu2FavXo1Ro0bBwsICNjY2kMlk4jaZTMaCjaCtbwCbWvUkMS1dPegZm8KmVj0kPHmAy3/+gdqtOkDf1BzJz6MQFvgLNLR1UPedFwWPuYOT5PkZSQkAAKuadaBraAwAqNfOCzt+GI9TWwNRx6MDUuJisPfn72DfsBmMLF+s3ujexxfhW9Zi79xv4NF/GOIf3cNf6xahdf9Pxb4PLP4edVt3gomtPbLT03DxwHZERpyA79ItYpstU/xhZGWDLp9PAQAcXvUzHBq5wcLBCZmpyTj261IkPnuCFh9+DADQMTCEk1tr7F84A5raui8uiYw4ifP7tsB7/MyyfLmJiIiIqBJTu2D74Ycf8OOPP+Krr74qj3yoCtDQ1kHkhVM4sXEVMlOSYGBuCcdmHhgVGAIDM8uSO/g/tx4DkJ2RhvDNaxGyYBp0DIzg3KItunzxzx8NTGyqwXfJFuybNwW/9GsPIytbtB4wDO2HjBHbpCfEYcvU0UiNi4GOgRFsateH79ItqN3qXbFNUvQTyOT//HEiMyUJO78fj9T459A1Mka1eq4YFbhPcs/bgNmrcHDxD9j87UhkpCTB1NYenf2/gftHQ17vhSMiIiKiKkcmqHl9lpGRES5evIiaNWuWV06VVkpKCoyNjZGcnAwjI6O3nU65LTpCb9fbWHSE51Ll87YWr+G5VPnwPYnKCs8lKisVZYG20tYGpf4etgJ9+vTBn3/++a+SIyIiIiIiopKpfUlkrVq1MGXKFJw6dQqNGjWCpqamZPuYMWOKeSYRERERERGpQ+2CbdWqVTAwMEBYWBjCwsIk22QyGQs2IiIiIiKiMqJ2wRYZGVkeeRAREREREVEhat/DRkRERERERG+G2jNsQ4cOfeX2devWvXYyRERERERE9A+1C7bExETJ49zcXFy9ehVJSUno2LFjmSVGRERERERU1aldsO3cuVMlplQqMWrUKDg7O5dJUkRERERERFRG97DJ5XKMHz8eCxYsKIvuiIiIiIiICGW46Mi9e/eQl5dXVt0RERERERFVeWpfEjl+/HjJY0EQ8OzZM+zbtw+DBw8us8SIiIiIiIiqOrULtgsXLkgey+VyWFpaYt68eSWuIElERERERESlp3bBdvTo0fLIg4iIiIiIiApRu2ArEBsbi1u3bgEA6tatC0tLyzJLioiIiIiIiF5j0ZH09HQMHToUtra2aNeuHdq1awc7Ozv4+fkhIyOjPHIkIiIiIiKqktQu2MaPH4+wsDDs2bMHSUlJSEpKwq5duxAWFoYvv/yyPHIkIiIiIiKqktQu2LZv3461a9eia9euMDIygpGREbp164bVq1dj27Ztr53InDlzIJPJMHbsWDGWlZUFf39/mJubw8DAAL1790ZMTIzkeY8ePYK3tzf09PRgZWWFiRMnqny9wF9//YVmzZpBW1sbtWrVQlBQkMr+ly5dCkdHR+jo6MDd3R1nzpyRbC9NLkRERERERGVJ7YItIyMD1tbWKnErK6vXviTy7NmzWLlyJRo3biyJjxs3Dnv27MHWrVsRFhaGqKgo9OrVS9yen58Pb29v5OTk4OTJk1i/fj2CgoIwdepUsU1kZCS8vb3RoUMHXLx4EWPHjsWnn36KgwcPim02b96M8ePHY9q0aTh//jxcXV3h5eWF58+flzoXIiIiIiKisqZ2webh4YFp06YhKytLjGVmZmLGjBnw8PBQO4G0tDT4+Phg9erVMDU1FePJyclYu3Yt5s+fj44dO8LNzQ2BgYE4efIkTp06BQD4888/cf36dWzYsAFNmjRB165d8f3332Pp0qXIyckBAKxYsQJOTk6YN28e6tWrh9GjR+Ojjz7CggULxH3Nnz8fw4YNg6+vL+rXr48VK1ZAT08P69atK3UuREREREREZU3tVSIXLVoELy8v2Nvbw9XVFQBw6dIl6OjoSGatSsvf3x/e3t7w9PTEDz/8IMYjIiKQm5sLT09PMebi4oLq1asjPDwcrVq1Qnh4OBo1aiSZ8fPy8sKoUaNw7do1NG3aFOHh4ZI+CtoUXHqZk5ODiIgITJ48Wdwul8vh6emJ8PDwUudSlOzsbGRnZ4uPU1JSAAB5eXniZZtyuRxyuRxKpRJKpVKSg1wuR35+PgRBKDGuUCggk8lULgdVKBQAXsxGqsQFATJBKYkL8iLiMhkEmfwVcSVkL+UiyGTAK+IyQQlI4nJAJis+rpTmLshe/J1BJffi4lVsTIXPJZlMBoVCUew5VhbnHgAep8o2pv8/t/B7h4aGBgRBkMSLO8de59wTc+FxqjxjEgT1fz8VEVfr3BOUPE6VcExKpbL8PxsVisuU+TxOlXBM+fn55f7ZqDTnXuHtxVG7YGvYsCHu3LmD4OBg3Lx5EwAwYMAA+Pj4QFdXV62+Nm3ahPPnz+Ps2bMq26Kjo6GlpQUTExNJ3NraGtHR0WKbwpdnFjwuqU1KSgoyMzORmJiI/Pz8ItsUjK80uRRl9uzZmDFjhkr8woUL0NfXBwBYWlrC2dkZkZGRiI2NFdvY29vD3t4et2/fRnJyshivWbMmrKyscPXqVWRmZopxFxcXmJiY4MKFC5I3msaNG0NLSwvnzp2T5NC8eXNo5OfAJuGeGBPkcjy1cIFObjoskh6J8TwNbUSbOUM/Kwmmqc/EeJaWPuJMasAoIx5G6f/knq5rgkRDO5imRUM/M0mMp+hbIkXfEubJj6GTky7GEw1tka5rCuvESGjk/VPgxplUR5aWAewS7kD20n+aaDNn5Ms1UC3ulmRMTy3qQqHMq/JjiouLw/3798W4sbEx6tWrh6ioKDx58kSMl+W5B4DHqZKNKT/fHDk5Obh8+bIYUygUaNGiBZKTk8X3RwDQ1dWFq6trmZx7gA6PUyUbU3Kyttq/n/7tuWeeqcnjVAnHFBWVW+6fjQqfe3apeTxOlXBMt28nlPtno9Kce+np/7w+ryITXi4H36DHjx+jefPmCA0NFe9de/fdd9GkSRMsXLgQGzduhK+vr2SGCgBatmyJDh06ICAgAMOHD8fDhw8lM3sZGRnQ19dHSEgIunbtijp16sDX11cygxYSEgJvb29kZGQgMTER1apVw8mTJyWXdE6aNAlhYWE4ffp0qXIpSlEzbA4ODoiPj4eRkRGAtzvDFnAhjn9xqYRjmuRq9sZn2AIuxvM4VbIxTWpmBeDNz7D9dCmBx6mSjWlSM6s3PsM273ICj1MlHNPEppZvfIZt3qV4HqdKOKYJTSwqxAxbSkoKzM3NkZycLNYGRXmtL86OiorC8ePH8fz5c8lgAGDMmDGl6iMiIgLPnz9Hs2bNxFh+fj6OHTuGJUuW4ODBg8jJyUFSUpJkZismJgY2NjYAABsbG5XVHAtWbny5TeHVHGNiYmBkZARdXV0oFAooFIoi27zcR0m5FEVbWxva2toqcQ0NDWhoSF/6ggNeWMGBLW28cL+vjMtkEGRF9KN2XA5BVsROi4m/+I+pRlxe9FiLzKW4eBUaU3Hnkrpxdc89HqfKNSaZ7MWTi3rvkMlkRcbL6tzjcapcY3rVuaRuvLTnXsEHOh6nyjWmgmNcrp+NCsXF14PHqVKNqeBcKe/PRiWdY8VtV2lfqlYvCQoKwogRI6ClpQVzc3PxjRh48UZa2oKtU6dOuHLliiTm6+sLFxcXfPXVV3BwcICmpiYOHz6M3r17AwBu3bqFR48eiTNhHh4e+PHHH/H8+XNYWb34a3BoaCiMjIxQv359sU1ISIhkP6GhoWIfWlpacHNzw+HDh9GzZ08AL66RPnz4MEaPHg0AcHNzKzEXIiIiIiKisqZ2wTZlyhRMnToVkydPLrLyLC1DQ0M0bNhQEtPX14e5ubkY9/Pzw/jx42FmZgYjIyN8/vnn8PDwEBf56Ny5M+rXr49PPvkEP/30E6Kjo/Hdd9/B399fnNkaOXIklixZgkmTJmHo0KE4cuQItmzZgn379on7HT9+PAYPHozmzZujZcuWWLhwIdLT0+Hr6wvgxX0YJeVCRERERERU1tQu2DIyMtC/f/9/VayV1oIFCyCXy9G7d29kZ2fDy8sLy5YtE7crFArs3bsXo0aNgoeHB/T19TF48GDMnDlTbOPk5IR9+/Zh3LhxWLRoEezt7bFmzRp4eXmJbfr164fY2FhMnToV0dHRaNKkCQ4cOCBZiKSkXIiIiIiIiMqa2ouOTJo0CWZmZvj666/LK6dKKyUlBcbGxiXeWPimzLkQ97ZToHLwdVOLN75PnkuVz9s4jwCeS5UR35OorPBcorLytn7HFVba2kDtGbbZs2fj/fffx4EDB9CoUSNoampKts+fP1/9bImIiIiIiEjFaxVsBw8eRN26dQFAZdERIiIiIiIiKhtqF2zz5s3DunXrMGTIkHJIh4iIiIiIiAqovXKItrY22rRpUx65EBERERER0UvULti++OILLF68uDxyISIiIiIiopeofUnkmTNncOTIEezduxcNGjRQWXRkx44dZZYcERERERFRVaZ2wWZiYoJevXqVRy5ERERERET0ErULtsDAwPLIg4iIiIiIiApR+x62oqSkpGD58uVo3rx5WXRHREREREREeI0ZtpcdPXoU69atw44dO2BsbIwPP/ywrPIiIiIiIiKq8tQu2J4+fYqgoCAEBgYiKSkJiYmJ2LhxI/r27csvziYiIiIiIipDpb4kcvv27ejWrRvq1q2LixcvYt68eYiKioJcLkejRo1YrBEREREREZWxUs+w9evXD1999RU2b94MQ0PD8syJiIiIiIiIoMYMm5+fH5YuXYouXbpgxYoVSExMLM+8iIiIiIiIqrxSF2wrV67Es2fPMHz4cPz++++wtbXFBx98AEEQoFQqyzNHIiIiIiKiKkmtZf11dXUxePBghIWF4cqVK2jQoAGsra3Rpk0bDBw4EDt27CivPImIiIiIiKqc1/4ettq1a2PWrFl4/PgxNmzYgIyMDAwYMKAscyMiIiIiIqrS/tX3sAGAXC5H9+7d0b17dzx//rwsciIiIiIiIiL8ixm2olhZWZVld0RERERERFVamRZsREREREREVHZYsBEREREREVVQLNiIiIiIiIgqqNdedCQnJwfPnz9X+Q626tWr/+ukiIiIiIiI6DUKtjt37mDo0KE4efKkJC4IAmQyGfLz88ssOSIiIiIioqpM7YJtyJAh0NDQwN69e2FrawuZTFYeeREREREREVV5ahdsFy9eREREBFxcXMojHyIiIiIiIvo/tRcdqV+/PuLi4sojFyIiIiIiInqJ2gVbQEAAJk2ahL/++gvx8fFISUmR/BAREREREVHZUPuSSE9PTwBAp06dJHEuOkJERERERFS21C7Yjh49Wh55EBERERERUSFqF2zt27cvjzyIiIiIiIiokNf64uykpCSsXbsWN27cAAA0aNAAQ4cOhbGxcZkmR0REREREVJWpvejIuXPn4OzsjAULFiAhIQEJCQmYP38+nJ2dcf78+fLIkYiIiIiIqEpSe4Zt3Lhx6NGjB1avXg0NjRdPz8vLw6effoqxY8fi2LFjZZ4kERERERFRVaR2wXbu3DlJsQYAGhoamDRpEpo3b16myREREREREVVlal8SaWRkhEePHqnEHz9+DENDwzJJioiIiIiIiF6jYOvXrx/8/PywefNmPH78GI8fP8amTZvw6aefYsCAAeWRIxERERERUZWk9iWRP//8M2QyGQYNGoS8vDwAgKamJkaNGoU5c+aUeYJERERERERVldoFm5aWFhYtWoTZs2fj3r17AABnZ2fo6emVeXJERERERERV2Wt9DxsA6OnpoVGjRmWZCxEREREREb2kVAVbr169EBQUBCMjI/Tq1euVbXfs2FEmiREREREREVV1pSrYjI2NIZPJALxYJbLg30RERERERFR+SlWwBQYGiv8OCgoqr1yIiIiIiIjoJWov69+xY0ckJSWpxFNSUtCxY8eyyImIiIiIiIjwGgXbX3/9hZycHJV4VlYW/v777zJJioiIiIiIiNRYJfLy5cviv69fv47o6GjxcX5+Pg4cOIBq1aqVbXZERERERERVWKkLtiZNmkAmk0EmkxV56aOuri4WL15cpskRERERERFVZaUu2CIjIyEIAmrWrIkzZ87A0tJS3KalpQUrKysoFIpySZKIiIiIiKgqKnXBVqNGDQCAUqkst2SIiIiIiIjoH2ovOjJ79mysW7dOJb5u3ToEBASUSVJERERERET0GgXbypUr4eLiohJv0KABVqxYUSZJERERERER0WsUbNHR0bC1tVWJW1pa4tmzZ2WSFBEREREREb1Gwebg4IATJ06oxE+cOAE7O7sySYqIiIiIiIjUWHSkwLBhwzB27Fjk5uaKy/sfPnwYkyZNwpdfflnmCRIREREREVVVahdsEydORHx8PD777DPk5OQAAHR0dPDVV19h8uTJZZ4gERERERFRVaV2wSaTyRAQEIApU6bgxo0b0NXVRe3ataGtrV0e+REREREREVVZahdsBQwMDNCiRYuyzIWIiIiIiIhe8loF27lz57BlyxY8evRIvCyywI4dO8okMSIiIiIioqpO7VUiN23ahNatW+PGjRvYuXMncnNzce3aNRw5cgTGxsblkSMREREREVGVpHbBNmvWLCxYsAB79uyBlpYWFi1ahJs3b6Jv376oXr16eeRIRERERERUJaldsN27dw/e3t4AAC0tLaSnp0Mmk2HcuHFYtWpVmSdIRERERERUValdsJmamiI1NRUAUK1aNVy9ehUAkJSUhIyMjLLNjoiIiIiIqApTe9GRdu3aITQ0FI0aNUKfPn3wxRdf4MiRIwgNDUWnTp3KI0ciIiIiIqIqSe2CbcmSJcjKygIAfPvtt9DU1MTJkyfRu3dvfPfdd2WeIBERERERUVWl9iWRZmZmsLOze/FkuRxff/01du/ejXnz5sHU1FStvpYvX47GjRvDyMgIRkZG8PDwwP79+8XtWVlZ8Pf3h7m5OQwMDNC7d2/ExMRI+nj06BG8vb2hp6cHKysrTJw4EXl5eZI2f/31F5o1awZtbW3UqlULQUFBKrksXboUjo6O0NHRgbu7O86cOSPZXppciIiIiIiIypLaBdv58+dx5coV8fGuXbvQs2dPfPPNNyrfyVYSe3t7zJkzBxERETh37hw6duyIDz74ANeuXQMAjBs3Dnv27MHWrVsRFhaGqKgo9OrVS3x+fn4+vL29kZOTg5MnT2L9+vUICgrC1KlTxTaRkZHw9vZGhw4dcPHiRYwdOxaffvopDh48KLbZvHkzxo8fj2nTpuH8+fNwdXWFl5cXnj9/LrYpKRciIiIiIqKypnbBNmLECNy+fRsAcP/+ffTr1w96enrYunUrJk2apFZf3bt3R7du3VC7dm3UqVMHP/74IwwMDHDq1CkkJydj7dq1mD9/Pjp27Ag3NzcEBgbi5MmTOHXqFADgzz//xPXr17FhwwY0adIEXbt2xffff4+lS5eKxeOKFSvg5OSEefPmoV69ehg9ejQ++ugjLFiwQMxj/vz5GDZsGHx9fVG/fn2sWLECenp6WLduHQCUKhciIiIiIqKypvY9bLdv30aTJk0AAFu3bkX79u2xceNGnDhxAv3798fChQtfK5H8/Hxs3boV6enp8PDwQEREBHJzc+Hp6Sm2cXFxQfXq1REeHo5WrVohPDwcjRo1grW1tdjGy8sLo0aNwrVr19C0aVOEh4dL+ihoM3bsWABATk4OIiIiMHnyZHG7XC6Hp6cnwsPDAaBUuRQlOzsb2dnZ4uOUlBQAQF5ennjZplwuh1wuh1KphFKplOQgl8uRn58PQRBKjCsUCshkMpXLQRUKhfj6qsQFATJBKYkL8iLiMhkEmfwVcSVkL+UiyGTAK+IyQQlI4nJAJis+rpTmLshe/J1BJffi4lVsTIXPJZlMBoVCUew5VhbnHgAep8o2pv8/t/B7h4aGBgRBkMSLO8de59wTc+FxqjxjEgT1fz8VEVfr3BOUPE6VcExKpbL8PxsVisuU+TxOlXBM+fn55f7ZqDTnXuHtxVG7YBMEQRzAoUOH8P777wMAHBwcEBcXp253uHLlCjw8PJCVlQUDAwPs3LkT9evXx8WLF6GlpQUTExNJe2tra0RHRwMAoqOjJcVawfaCba9qk5KSgszMTCQmJiI/P7/INjdv3hT7KCmXosyePRszZsxQiV+4cAH6+voAAEtLSzg7OyMyMhKxsbFiG3t7e9jb2+P27dtITk4W4zVr1oSVlRWuXr2KzMxMMe7i4gITExNcuHBB8kbTuHFjaGlp4dy5c5IcmjdvDo38HNgk3BNjglyOpxYu0MlNh0XSIzGep6GNaDNn6GclwTT1mRjP0tJHnEkNGGXEwyj9n9zTdU2QaGgH07Ro6GcmifEUfUuk6FvCPPkxdHLSxXiioS3SdU1hnRgJjbx/Ctw4k+rI0jKAXcIdyF76TxNt5ox8uQaqxd2SjOmpRV0olHlVfkxxcXG4f/++GDc2Nka9evUQFRWFJ0+eiPGyPPcA8DhVsjHl55sjJycHly9fFmMKhQItWrRAcnKy+P4IALq6unB1dS2Tcw/Q4XGqZGNKTtZW+/fTvz33zDM1eZwq4ZiionLL/bNR4XPPLjWPx6kSjun27YRy/2xUmnMvPf2f1+dVZMLL5WApdOzYEQ4ODvD09ISfnx+uX7+OWrVqISwsDIMHD8aDBw/U6Q45OTl49OgRkpOTsW3bNqxZswZhYWG4ePEifH19JTNUANCyZUt06NABAQEBGD58OB4+fCi5Hy0jIwP6+voICQlB165dUadOHfj6+kpm0EJCQuDt7Y2MjAwkJiaiWrVqOHnyJDw8PMQ2kyZNQlhYGE6fPo2NGzeWmEtRipphc3BwQHx8PIyMjAC83Rm2gAtx/ItLJRzTJFezNz7DFnAxnsepko1pUjMrAG9+hu2nSwk8TpVsTJOaWb3xGbZ5lxN4nCrhmCY2tXzjM2zzLsXzOFXCMU1oYlEhZthSUlJgbm6O5ORksTYoitozbAsXLoSPjw/++OMPfPvtt6hVqxYAYNu2bWjdurW63UFLS0vsw83NDWfPnsWiRYvQr18/5OTkICkpSTKzFRMTAxsbGwCAjY2NymqOBSs3vtym8GqOMTExMDIygq6uLhQKBRQKRZFtXu6jpFyKoq2tDW1tbZW4hoYGNDSkL33BAS+s4MCWNl6431fGZTIIsiL6UTsuhyArYqfFxF/8x1QjLi96rEXmUly8Co2puHNJ3bi65x6PU+Uak0z24slFvXfIZLIi42V17vE4Va4xvepcUjde2nOv4AMdj1PlGlPBMS7Xz0aF4uLrweNUqcZUcK6U92ejks6x4rar5FOqVi9p3Lgxrly5guTkZEybNk2Mz507F+vXr1e3OxVKpRLZ2dlwc3ODpqYmDh8+LG67desWHj16JM6EeXh44MqVK5LVHENDQ2FkZIT69euLbV7uo6BNQR9aWlpwc3OTtFEqlTh8+LDYpjS5EBERERERlTW1Z9gK5OTk4Pnz55LpQgCoXr16qfuYPHkyunbtiurVqyM1NRUbN27EX3/9hYMHD8LY2Bh+fn4YP348zMzMYGRkhM8//xweHh7iIh+dO3dG/fr18cknn+Cnn35CdHQ0vvvuO/j7+4szWyNHjsSSJUswadIkDB06FEeOHMGWLVuwb98+MY/x48dj8ODBaN68OVq2bImFCxciPT0dvr6+AFCqXIiIiIiIiMraa60S6efnh5MnT0riBatAFb4e+FWeP3+OQYMG4dmzZzA2Nkbjxo1x8OBBvPfeewCABQsWQC6Xo3fv3sjOzoaXlxeWLVsmPl+hUGDv3r0YNWoUPDw8oK+vj8GDB2PmzJliGycnJ+zbtw/jxo3DokWLYG9vjzVr1sDLy0ts069fP8TGxmLq1KmIjo5GkyZNcODAAclCJCXlQkREREREVNbUXnSkTZs20NDQwNdffw1bW1vx2vQCrq6uZZpgZZKSkgJjY+MSbyx8U+ZcUH9VT6r4vm5q8cb3yXOp8nkb5xHAc6ky4nsSlRWeS1RW3tbvuMJKWxuoPcN28eJFREREiEt5ExERERERUflQe9GR+vXrv9b3rREREREREZF61C7YAgICMGnSJPz111+Ij49HSkqK5IeIiIiIiIjKhtqXRHp6egIAOnXqJIm/zqIjREREREREVDy1C7ajR4+WRx5ERERERERUiNoFW/v27csjDyIiIiIiIirktb84OyMjA48ePUJOTo4k3rhx43+dFBEREREREb1GwRYbGwtfX1/s37+/yO28h42IiIiIiKhsqL1K5NixY5GUlITTp09DV1cXBw4cwPr161G7dm3s3r27PHIkIiIiIiKqktSeYTty5Ah27dqF5s2bQy6Xo0aNGnjvvfdgZGSE2bNnw9vbuzzyJCIiIiIiqnLUnmFLT0+HlZUVAMDU1BSxsbEAgEaNGuH8+fNlmx0REREREVEVpnbBVrduXdy6dQsA4OrqipUrV+Lp06dYsWIFbG1tyzxBIiIiIiKiqkrtSyK/+OILPHv2DAAwbdo0dOnSBcHBwdDS0kJQUFBZ50dERERERFRlqV2wffzxx+K/3dzc8PDhQ9y8eRPVq1eHhYVFmSZHRERERERUlal1SWRubi6cnZ1x48YNMaanp4dmzZqxWCMiIiIiIipjahVsmpqayMrKKq9ciIiIiIiI6CVqLzri7++PgIAA5OXllUc+RERERERE9H+lvoft0aNHsLe3x9mzZ3H48GH8+eefaNSoEfT19SXtduzYUeZJEhERERERVUWlLticnJzw7NkzmJiYoHfv3uWZExEREREREUGNgk0QBABAYGBguSVDRERERERE/1DrHjaZTFZeeRAREREREVEhan0P25QpU6Cnp/fKNvPnz/9XCREREREREdELahVsV65cgZaWVrHbOQNHRERERERUdtQq2Hbu3AkrK6vyyoWIiIiIiIheUup72Dh7RkRERERE9GaVumArWCWSiIiIiIiI3oxSF2yBgYEwNjYuz1yIiIiIiIjoJaW+h23w4MHlmQcREREREREVotb3sBEREREREdGbw4KNiIiIiIiogmLBRkREREREVEG9VsGWlJSENWvWYPLkyUhISAAAnD9/Hk+fPi3T5IiIiIiIiKoytb44GwAuX74MT09PGBsb48GDBxg2bBjMzMywY8cOPHr0CL/++mt55ElERERERFTlqD3DNn78eAwZMgR37tyBjo6OGO/WrRuOHTtWpskRERERERFVZWoXbGfPnsWIESNU4tWqVUN0dHSZJEVERERERESvUbBpa2sjJSVFJX779m1YWlqWSVJERERERET0GgVbjx49MHPmTOTm5gIAZDIZHj16hK+++gq9e/cu8wSJiIiIiIiqKrULtnnz5iEtLQ1WVlbIzMxE+/btUatWLRgaGuLHH38sjxyJiIiIiIiqJLVXiTQ2NkZoaCiOHz+Oy5cvIy0tDc2aNYOnp2d55EdERERERFRlqV2wFXjnnXfwzjvvlGUuRERERERE9BK1C7ZffvmlyLhMJoOOjg5q1aqFdu3aQaFQ/OvkiIiIiIiIqjK1C7YFCxYgNjYWGRkZMDU1BQAkJiZCT08PBgYGeP78OWrWrImjR4/CwcGhzBMmIiIiIiKqKtRedGTWrFlo0aIF7ty5g/j4eMTHx+P27dtwd3fHokWL8OjRI9jY2GDcuHHlkS8REREREVGVofYM23fffYft27fD2dlZjNWqVQs///wzevfujfv37+Onn37iEv9ERERERET/ktozbM+ePUNeXp5KPC8vD9HR0QAAOzs7pKam/vvsiIiIiIiIqjC1C7YOHTpgxIgRuHDhghi7cOECRo0ahY4dOwIArly5Aicnp7LLkoiIiIiIqApSu2Bbu3YtzMzM4ObmBm1tbWhra6N58+YwMzPD2rVrAQAGBgaYN29emSdLRERERERUlah9D5uNjQ1CQ0Nx8+ZN3L59GwBQt25d1K1bV2zToUOHssuQiIiIiIioinrtL852cXGBi4tLWeZCREREREREL3mtgu3JkyfYvXs3Hj16hJycHMm2+fPnl0liREREREREVZ3aBdvhw4fRo0cP1KxZEzdv3kTDhg3x4MEDCIKAZs2alUeOREREREREVZLai45MnjwZEyZMwJUrV6Cjo4Pt27fj8ePHaN++Pfr06VMeORIREREREVVJahdsN27cwKBBgwAAGhoayMzMhIGBAWbOnImAgIAyT5CIiIiIiKiqUrtg09fXF+9bs7W1xb1798RtcXFxZZcZERERERFRFaf2PWytWrXC8ePHUa9ePXTr1g1ffvklrly5gh07dqBVq1blkSMREREREVGVpHbBNn/+fKSlpQEAZsyYgbS0NGzevBm1a9fmCpFERERERERlSK2CLT8/H0+ePEHjxo0BvLg8csWKFeWSGBERERERUVWn1j1sCoUCnTt3RmJiYnnlQ0RERERERP+n9qIjDRs2xP3798sjFyIiIiIiInqJ2gXbDz/8gAkTJmDv3r149uwZUlJSJD9ERERERERUNtRedKRbt24AgB49ekAmk4lxQRAgk8mQn59fdtkRERERERFVYWoXbEePHi2PPIiIiIiIiKgQtQu29u3bl0ceREREREREVIja97ABwN9//42PP/4YrVu3xtOnTwEAv/32G44fP16myREREREREVVlahds27dvh5eXF3R1dXH+/HlkZ2cDAJKTkzFr1iy1+po9ezZatGgBQ0NDWFlZoWfPnrh165akTVZWFvz9/WFubg4DAwP07t0bMTExkjaPHj2Ct7c39PT0YGVlhYkTJyIvL0/S5q+//kKzZs2gra2NWrVqISgoSCWfpUuXwtHRETo6OnB3d8eZM2fUzoWIiIiIiKisvNYqkStWrMDq1auhqakpxtu0aYPz58+r1VdYWBj8/f1x6tQphIaGIjc3F507d0Z6errYZty4cdizZw+2bt2KsLAwREVFoVevXuL2/Px8eHt7IycnBydPnsT69esRFBSEqVOnim0iIyPh7e2NDh064OLFixg7diw+/fRTHDx4UGyzefNmjB8/HtOmTcP58+fh6uoKLy8vPH/+vNS5EBERERERlSWZIAiCOk/Q09PD9evX4ejoCENDQ1y6dAk1a9bE/fv3Ub9+fWRlZb12MrGxsbCyskJYWBjatWuH5ORkWFpaYuPGjfjoo48AADdv3kS9evUQHh6OVq1aYf/+/Xj//fcRFRUFa2trAMCKFSvw1VdfITY2FlpaWvjqq6+wb98+XL16VdxX//79kZSUhAMHDgAA3N3d0aJFCyxZsgQAoFQq4eDggM8//xxff/11qXIpSUpKCoyNjZGcnAwjI6PXfp3KypwLcW87BSoHXze1eOP75LlU+byN8wjguVQZ8T2JygrPJSorb+t3XGGlrQ3UXnTExsYGd+/ehaOjoyR+/Phx1KxZU+1EX5acnAwAMDMzAwBEREQgNzcXnp6eYhsXFxdUr15dLJLCw8PRqFEjsVgDAC8vL4waNQrXrl1D06ZNER4eLumjoM3YsWMBADk5OYiIiMDkyZPF7XK5HJ6enggPDy91LoVlZ2eLl4wCEL+nLi8vT7xkUy6XQy6XQ6lUQqlUSvYvl8uRn5+Pl2vq4uIKhQIymUzlUlCFQgEAKl+3oFAoAEGATFBK4oK8iLhMBkEmf0VcCdlLuQgyGfCKuExQApK4HJDJio8rpbkLshcTwyq5FxevYmMqfC7JZDIoFIpiz7GyOPcA8DhVtjH9/7mF3zs0NDQgCIIkXtw59jrnnpgLj1PlGdP/v/ZHrd9PRcTVOvcEJY9TJRyTUqks/89GheIyZT6PUyUcU35+frl/NirNuVd4e3HULtiGDRuGL774AuvWrYNMJkNUVBTCw8MxYcIETJkyRd3uREqlEmPHjkWbNm3QsGFDAEB0dDS0tLRgYmIiaWttbY3o6GixzcvFWsH2gm2vapOSkoLMzEwkJiYiPz+/yDY3b94sdS6FzZ49GzNmzFCJX7hwAfr6+gAAS0tLODs7IzIyErGxsWIbe3t72Nvb4/bt22IhCwA1a9aElZUVrl69iszMTDHu4uICExMTXLhwQfJG07hxY2hpaeHcuXOSHJo3bw6N/BzYJNwTY4JcjqcWLtDJTYdF0iMxnqehjWgzZ+hnJcE09ZkYz9LSR5xJDRhlxMMo/Z/c03VNkGhoB9O0aOhnJonxFH1LpOhbwjz5MXRy/rnsNdHQFum6prBOjIRG3j8FbpxJdWRpGcAu4Q5kL/2niTZzRr5cA9XipPc7PrWoC4Uyr8qPKS4uDvfv3xfjxsbGqFevHqKiovDkyRMxXpbnHgAep0o2pvx8c+Tk5ODy5ctiTKFQoEWLFkhOThbfGwFAV1cXrq6uZXLuATo8TpVsTMnJ2mr/fvq35555piaPUyUcU1RUbrl/Nip87tml5vE4VcIx3b6dUO6fjUpz7r18G9irqH1JpCAImDVrFmbPno2MjAwAgLa2NiZMmIDvv/9ena4kRo0ahf379+P48eP//6UNbNy4Eb6+vpJZKgBo2bIlOnTogICAAAwfPhwPHz6U3I+WkZEBfX19hISEoGvXrqhTpw58fX0lM2ghISHw9vZGRkYGEhMTUa1aNZw8eRIeHh5im0mTJiEsLAynT58uVS6FFTXD5uDggPj4eHHa823OsAVciONfXCrhmCa5mr3xGbaAi/E8TpVsTJOaWQF48zNsP11K4HGqZGOa1Mzqjc+wzbucwONUCcc0sanlG59hm3cpnsepEo5pQhOLCjHDlpKSAnNz87K/JFImk+Hbb7/FxIkTcffuXaSlpaF+/fowMDBQtyvR6NGjsXfvXhw7dkws1oAXl1/m5OQgKSlJMrMVExMDGxsbsU3h1RwLVm58uU3h1RxjYmJgZGQEXV1dKBQKKBSKItu83EdJuRSmra0NbW1tlbiGhgY0NKQvfcEBL6zgwJY2XrjfV8ZlMgiyIvpROy6HICtip8XEX/zHVCMuL3qsReZSXLwKjam4c0nduLrnHo9T5RqTTPbiyUW9d8hksiLjZXXu8ThVrjG96lxSN17ac6/gAx2PU+UaU8ExLtfPRoXi4uvB41SpxlRwrpT3Z6OSzrHitqvkU6pWL9mwYQMyMjKgpaWF+vXro2XLlq9drAmCgNGjR2Pnzp04cuQInJycJNvd3NygqamJw4cPi7Fbt27h0aNH4kyYh4cHrly5IlnNMTQ0FEZGRqhfv77Y5uU+CtoU9KGlpQU3NzdJG6VSicOHD4ttSpMLERERERFRWVK7YBs3bhysrKwwcOBAhISEqEwnq8Pf3x8bNmzAxo0bYWhoiOjoaERHR4vXgBobG8PPzw/jx4/H0aNHERERAV9fX3h4eIiLfHTu3Bn169fHJ598gkuXLuHgwYP47rvv4O/vL85ujRw5Evfv38ekSZNw8+ZNLFu2DFu2bMG4cePEXMaPH4/Vq1dj/fr1uHHjBkaNGoX09HT4+vqWOhciIiIiIqKypPYlkc+ePcOBAwfw+++/o2/fvtDT00OfPn3g4+OD1q1bq9XX8uXLAQDvvvuuJB4YGIghQ4YAABYsWAC5XI7evXsjOzsbXl5eWLZsmdhWoVBg7969GDVqFDw8PKCvr4/Bgwdj5syZYhsnJyfs27cP48aNw6JFi2Bvb481a9bAy8tLbNOvXz/ExsZi6tSpiI6ORpMmTXDgwAHJQiQl5UJERERERFSW1F505GUZGRnYuXMnNm7ciEOHDsHe3h737t0r+YlVFL+Hjd4Efk8NlQV+DxuVFb4nUVnhuURlpdJ/D9vL9PT04OXlhcTERDx8+BA3btz4N90RERERERHRS9S+hw14MbMWHByMbt26oVq1ali4cCE+/PBDXLt2razzIyIiIiIiqrLUnmHr378/9u7dCz09PfTt2xdTpkzhKolERERERETlQO2CTaFQYMuWLfDy8lL5zoGrV6+iYcOGZZYcERERERFRVaZ2wRYcHCx5nJqait9//x1r1qxBRETEv1rmn4iIiIiIiP7xWvewAcCxY8cwePBg2Nra4ueff0bHjh1x6tSpssyNiIiIiIioSlNrhi06OhpBQUFYu3YtUlJS0LdvX2RnZ+OPP/5A/fr1yytHIiIiIiKiKqnUM2zdu3dH3bp1cfnyZSxcuBBRUVFYvHhxeeZGRERERERUpZV6hm3//v0YM2YMRo0ahdq1a5dnTkRERERERAQ1ZtiOHz+O1NRUuLm5wd3dHUuWLEFcHL/9nYiIiIiIqLyUumBr1aoVVq9ejWfPnmHEiBHYtGkT7OzsoFQqERoaitTU1PLMk4iIiIiIqMpRe5VIfX19DB06FMePH8eVK1fw5ZdfYs6cObCyskKPHj3KI0ciIiIiIqIq6bWX9QeAunXr4qeffsKTJ0/w+++/l1VOREREREREhH9ZsBVQKBTo2bMndu/eXRbdEREREREREcqoYCMiIiIiIqKyx4KNiIiIiIiogmLBRkREREREVEGxYCMiIiIiIqqgWLARERERERFVUCzYiIiIiIiIKigWbERERERERBUUCzYiIiIiIqIKigUbERERERFRBcWCjYiIiIiIqIJiwUZERERERFRBsWAjIiIiIiKqoFiwERERERERVVAs2IiIiIiIiCooFmxEREREREQVFAs2IiIiIiKiCooFGxERERERUQXFgo2IiIiIiKiCYsFGRERERERUQbFgIyIiIiIiqqBYsBEREREREVVQLNiIiIiIiIgqKBZsREREREREFRQLNiIiIiIiogqKBRsREREREVEFxYKNiIiIiIiogmLBRkREREREVEGxYCMiIiIiIqqgWLARERERERFVUCzYiIiIiIiIKigWbERERERERBUUCzYiIiIiIqIKigUbERERERFRBcWCjYiIiIiIqIJiwUZERERERFRBsWAjIiIiIiKqoFiwERERERERVVAs2IiIiIiIiCooFmxEREREREQVFAs2IiIiIiKiCooFGxERERERUQXFgo2IiIiIiKiCYsFGRERERERUQbFgIyIiIiIiqqBYsBEREREREVVQLNiIiIiIiIgqKBZsREREREREFRQLNiIiIiIiogqKBRsREREREVEFxYKNiIiIiIiognqrBduxY8fQvXt32NnZQSaT4Y8//pBsFwQBU6dOha2tLXR1deHp6Yk7d+5I2iQkJMDHxwdGRkYwMTGBn58f0tLSJG0uX76Mtm3bQkdHBw4ODvjpp59Uctm6dStcXFygo6ODRo0aISQkRO1ciIiIiIiIytJbLdjS09Ph6uqKpUuXFrn9p59+wi+//IIVK1bg9OnT0NfXh5eXF7KyssQ2Pj4+uHbtGkJDQ7F3714cO3YMw4cPF7enpKSgc+fOqFGjBiIiIjB37lxMnz4dq1atEtucPHkSAwYMgJ+fHy5cuICePXuiZ8+euHr1qlq5EBERERERlSWNt7nzrl27omvXrkVuEwQBCxcuxHfffYcPPvgAAPDrr7/C2toaf/zxB/r3748bN27gwIEDOHv2LJo3bw4AWLx4Mbp164aff/4ZdnZ2CA4ORk5ODtatWwctLS00aNAAFy9exPz588XCbtGiRejSpQsmTpwIAPj+++8RGhqKJUuWYMWKFaXKhYiIiIiI6H/t3XtQVPfdx/HP2SWABQVFgfDgBWO9D0TUUOotJhpgWhs7TFOtjWiMyWSkiWPzkMdMvGDSqpnaNB2tdTpVnLGO2jpoJp0YGVK1GjRK3HiL0SZMjVVQQa6Pouzu84f1lOUm5EHP2eX9muGP/Z7f2f3+OD+W/XB2D53N0sDWlpKSEpWWlmrKlClmLSIiQikpKSoqKtKMGTNUVFSkyMhIM6xJ0pQpU+RwOHTkyBH98Ic/VFFRkSZOnKjg4GBzTFpamlavXq3r16+rZ8+eKioq0qJFi3wePy0tzXyLZnt6aUl9fb3q6+vN29XV1ZKkhoYGNTQ0SJIcDoccDoc8Ho88Ho859m7d7XbL6/Xes+50OmUYhnm/jeuS5Ha7m9e9Xhlej0/d62ihbhjyGo426h4ZjXrxGobURt3weiSfukMyjNbrHt/evcadE8PNem+t3sXm1HQtGYYhp9PZ6hrrjLUnieMUaHP6975NnzuCgoLk9Xp96q2tsW+y9sxeOE6BMyevt+O/n1qod2jteT0cpwCck8fjuf+vjZrUDY+b4xSAc3K73ff9tVF71l7T7a2xbWArLS2VJMXExPjUY2JizG2lpaWKjo722R4UFKRevXr5jElISGh2H3e39ezZU6Wlpfd8nHv10pKVK1cqNze3Wf348eMKCwuTJPXp00ePPPKISkpKdPXqVXNMfHy84uPjde7cOVVVVZn1gQMHKjo6WqdOndKNGzfM+tChQxUZGanjx4/7PNEkJiYqODhYx44d8+lhzJgxCnLfUmzFl2bN63DoX72HKvR2nXpXXjDrDUEhKu31iMJuVqpnzWWzfjM4TNci+6vH/5arR91/eq/rFqnr3ePUs7ZUYTcqzXp1WB9Vh/VRVNXXCr1VZ9avd39Ydd16KuZ6iYIa/hNwr0X2083gcMVVnJfR6IemtNcjcjuC9F/XvvCZ0796D5HT09Dl53Tt2jV99dVXZj0iIkLDhg3TpUuXdPHiRbPemWtPEscpwObkdkfp1q1bOnHihFlzOp0aO3asqqqqdPbsWbPerVs3JSUldcrak0I5TgE2p6qqkA7/fvr/rr2oGw9xnAJwTpcu3b7vr42arr24mgaOUwDO6dy5ivv+2qg9a6+u7j/fn7YY3sZx0EKGYSg/P1/Tp0+XdOdzZePGjdOlS5f08MMPm+OeeeYZGYah7du365e//KU2b96sL77wPZDR0dHKzc3VSy+9pKeeekoJCQnasGGDuf3MmTMaMWKEzpw5o2HDhik4OFibN2/WzJkzzTG/+93vlJubq7Kysnb10pKWzrD17dtX5eXl6tGjhyRrz7CtPn6Nv7gE4Jxykno98DNsq13lHKcAm1NO8p0/hj3oM2xvf1bBcQqwOeUkRz/wM2xrTlRwnAJwTv89qs8DP8O25rNyjlMAzunVR3vb4gxbdXW1oqKiVFVVZWaDltj2DFtsbKwkqayszCcklZWV6dFHHzXHXLlyxWe/hoYGVVRUmPvHxsaqrKzMZ8zd2/ca03j7vXppSUhIiEJCQprVg4KCFBTk+62/e8Cbuntg21tver9t1g1DXqOF++lw3SGv0cKDtlK/84PZgbqj5bm22Etr9S40p9bWUkfrHV17HKfAmpNh3Nm5pecOwzBarHfW2uM4Bdac2lpLHa23d+3dfUHHcQqsOd09xvf1tVGTuvn94DgF1JzurpX7/droXmuste3N+mnXKAskJCQoNjZWhYWFZq26ulpHjhxRamqqJCk1NVWVlZUqLi42x3z00UfyeDxKSUkxxxw4cEC3b982xxQUFGjIkCHq2bOnOabx49wdc/dx2tMLAAAAAHQ2SwNbbW2tXC6XXC6XpDsX93C5XLpw4YIMw9DChQv11ltv6b333tPJkyc1e/ZsxcXFmW+bHDZsmNLT0zV//nx98sknOnTokLKzszVjxgzFxcVJkn7yk58oODhY8+bN0+nTp7V9+3a9++67PhcZeeWVV7Rnzx6tWbNGZ8+e1fLly3Xs2DFlZ2dLUrt6AQAAAIDOZulbIo8dO6bJkyebt++GqKysLOXl5SknJ0d1dXV64YUXVFlZqfHjx2vPnj0KDQ019/nTn/6k7OxsPfnkk3I4HMrMzNRvf/tbc3tERIT27t2rBQsWaPTo0erdu7eWLl3q87/avvvd72rr1q1644039Prrr+vb3/62du3apZEjR5pj2tMLAAAAAHQm21x0pCuorq5WRETEPT9Y+KCsOn7N6hZwH/zPqN4P/DFZS4HHinUksZYCEc9J6CysJXQWq37HNdXebGDbz7ABAAAAQFdHYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisDWQevWrdOAAQMUGhqqlJQUffLJJ1a3BAAAACBAEdg6YPv27Vq0aJGWLVumTz/9VElJSUpLS9OVK1esbg0AAABAACKwdcCvf/1rzZ8/X3PnztXw4cP1+9//Xt/61re0ceNGq1sDAAAAEICCrG7AX9y6dUvFxcVavHixWXM4HJoyZYqKiopa3Ke+vl719fXm7aqqKklSRUWFGhoazPtwOBzyeDzyeDw+9+1wOOR2u+X1eu9ZdzqdMgzDvN/GdUlyu93N6jdrqmV4PT51r8Mpeb2+dcOQ13C0UffIaNSL1zCkNuqG1yP51B2SYbRe9/j27jXu/J2hWe+t1bvYnCorg3zWkmEYcjqdra6xzlh7N2trOE4BNqeqqockNX/uCAoKktfr9am3tsa+ydq7WVvDcQqwOVVVPdTh308t1Tuy9uprqjhOATinysqg+/7aqGm9vrqS4xSAc7p+3XnfXxu1Z+1VV1ff6b3Rvi0hsLXTtWvX5Ha7FRMT41OPiYnR2bNnW9xn5cqVys3NbVZPSEi4Lz0CktR8xQEdt9zqBhAwllvdAALGcqsbQMBYbnUDTdTU1CgiIqLV7QS2+2jx4sVatGiRedvj8aiiokJRUVEyDMPCzrqW6upq9e3bV19//bV69OhhdTvwY6wldAbWEToLawmdhbVkDa/Xq5qaGsXFxbU5jsDWTr1795bT6VRZWZlPvaysTLGxsS3uExISopCQEJ9aZGTk/WoR99CjRw+ehNApWEvoDKwjdBbWEjoLa+nBa+vM2l1cdKSdgoODNXr0aBUWFpo1j8ejwsJCpaamWtgZAAAAgEDFGbYOWLRokbKysjRmzBg99thj+s1vfqO6ujrNnTvX6tYAAAAABCACWwf8+Mc/1tWrV7V06VKVlpbq0Ucf1Z49e5pdiAT2EhISomXLljV7eyrQUawldAbWEToLawmdhbVkb4b3XteRBAAAAABYgs+wAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsC1oEDBzRt2jTFxcXJMAzt2rXL6pbgh1auXKmxY8eqe/fuio6O1vTp0/XFF19Y3Rb80Pr165WYmGj+Y9rU1FR98MEHVrcFP7dq1SoZhqGFCxda3Qr80PLly2UYhs/X0KFDrW4LTRDYELDq6uqUlJSkdevWWd0K/Nj+/fu1YMECHT58WAUFBbp9+7aeeuop1dXVWd0a/Ex8fLxWrVql4uJiHTt2TE888YSefvppnT592urW4KeOHj2qDRs2KDEx0epW4MdGjBihy5cvm18HDx60uiU0wf9hQ8DKyMhQRkaG1W3Az+3Zs8fndl5enqKjo1VcXKyJEyda1BX80bRp03xu/+IXv9D69et1+PBhjRgxwqKu4K9qa2s1a9Ys/eEPf9Bbb71ldTvwY0FBQYqNjbW6DbSBM2wA0AFVVVWSpF69elncCfyZ2+3Wtm3bVFdXp9TUVKvbgR9asGCBvve972nKlClWtwI/d/78ecXFxWngwIGaNWuWLly4YHVLaIIzbADQTh6PRwsXLtS4ceM0cuRIq9uBHzp58qRSU1N18+ZNhYeHKz8/X8OHD7e6LfiZbdu26dNPP9XRo0etbgV+LiUlRXl5eRoyZIguX76s3NxcTZgwQadOnVL37t2tbg//RmADgHZasGCBTp06xfv78Y0NGTJELpdLVVVV+stf/qKsrCzt37+f0IZ2+/rrr/XKK6+ooKBAoaGhVrcDP9f4oyOJiYlKSUlR//79tWPHDs2bN8/CztAYgQ0A2iE7O1vvv/++Dhw4oPj4eKvbgZ8KDg7WoEGDJEmjR4/W0aNH9e6772rDhg0WdwZ/UVxcrCtXrig5Odmsud1uHThwQGvXrlV9fb2cTqeFHcKfRUZGavDgwfrHP/5hdStohMAGAG3wer362c9+pvz8fO3bt08JCQlWt4QA4vF4VF9fb3Ub8CNPPvmkTp486VObO3euhg4dqtdee42whv+X2tpaffnll3r22WetbgWNENgQsGpra33+QlRSUiKXy6VevXqpX79+FnYGf7JgwQJt3bpVu3fvVvfu3VVaWipJioiIULdu3SzuDv5k8eLFysjIUL9+/VRTU6OtW7dq3759+vDDD61uDX6ke/fuzT5DGxYWpqioKD5biw579dVXNW3aNPXv31+XLl3SsmXL5HQ6NXPmTKtbQyMENgSsY8eOafLkyebtRYsWSZKysrKUl5dnUVfwN+vXr5ckPf744z71TZs2ac6cOQ++IfitK1euaPbs2bp8+bIiIiKUmJioDz/8UFOnTrW6NQBd1MWLFzVz5kyVl5erT58+Gj9+vA4fPqw+ffpY3RoaMbxer9fqJgAAAAAAzfF/2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAIAuYc6cOTIMQ4Zh6KGHHlJCQoJycnJ08+ZNn3F3xzT+Gj9+fLPthw8f9tmvvr5eUVFRMgxD+/bta7WPq1ev6qWXXlK/fv0UEhKi2NhYpaWl6dChQ506XwBAYAiyugEAAB6U9PR0bdq0Sbdv31ZxcbGysrJkGIZWr17tM27Tpk1KT083bwcHB/ts79u3rzZt2qTvfOc7Zi0/P1/h4eGqqKhos4fMzEzdunVLmzdv1sCBA1VWVqbCwkKVl5d3wgxbduvWrWZzAAD4B86wAQC6jLtntPr27avp06drypQpKigoaDYuMjJSsbGx5levXr18tmdlZWnbtm26ceOGWdu4caOysrLafPzKykr9/e9/1+rVqzV58mT1799fjz32mBYvXqwf/OAHPuNefPFFxcTEKDQ0VCNHjtT7779vbt+5c6dGjBihkJAQDRgwQGvWrPF5nAEDBujNN9/U7Nmz1aNHD73wwguSpIMHD2rChAnq1q2b+vbtq5dffll1dXXt/wYCAB44AhsAoEs6deqUPv7442905mn06NEaMGCAdu7cKUm6cOGCDhw4oGeffbbN/cLDwxUeHq5du3apvr6+xTEej0cZGRk6dOiQtmzZojNnzmjVqlVyOp2SpOLiYj3zzDOaMWOGTp48qeXLl2vJkiXKy8vzuZ9f/epXSkpK0vHjx7VkyRJ9+eWXSk9PV2Zmpk6cOKHt27fr4MGDys7O7vD8AQAPjuH1er1WNwEAwP02Z84cbdmyRaGhoWpoaFB9fb0cDod27NihzMxMc5xhGAoNDTUDkiRt2bJF06dPN7fn5+frn//8p3bv3q2PPvpIK1askMvl0saNG9WzZ0/97W9/0+OPP95iHzt37tT8+fN148YNJScna9KkSZoxY4YSExMlSXv37lVGRoY+//xzDR48uNn+s2bN0tWrV7V3716zlpOTo7/+9a86ffq0pDtn2EaNGqX8/HxzzPPPPy+n06kNGzaYtYMHD2rSpEmqq6tTaGhox7+pAID7jjNsAIAuY/LkyXK5XDpy5IiysrI0d+5cn7B21zvvvCOXy2V+TZ06tdmYn/70pyoqKtJXX32lvLw8Pffcc+3qITMzU5cuXdJ7772n9PR07du3T8nJyeYZMpfLpfj4+BbDmiR9/vnnGjdunE9t3LhxOn/+vNxut1kbM2aMz5jPPvtMeXl55lm+8PBwpaWlyePxqKSkpF29AwAePC46AgDoMsLCwjRo0CBJdz5zlpSUpD/+8Y+aN2+ez7jY2FhzXGuioqL0/e9/X/PmzdPNmzeVkZGhmpqadvURGhqqqVOnaurUqVqyZImef/55LVu2THPmzFG3bt2+2eSaCAsL87ldW1urF198US+//HKzsf369euUxwQAdD7OsAEAuiSHw6HXX39db7zxhs/FQzriueee0759+zR79myft1B21PDhw82LfyQmJurixYs6d+5ci2OHDRvW7F8AHDp0SIMHD26zh+TkZJ05c0aDBg1q9sUVJAHAvghsAIAu60c/+pGcTqfWrVv3jfZPT0/X1atXtWLFinaNLy8v1xNPPKEtW7boxIkTKikp0Z///Ge9/fbbevrppyVJkyZN0sSJE5WZmamCggKVlJTogw8+0J49eyRJP//5z1VYWKg333xT586d0+bNm7V27Vq9+uqrbT72a6+9po8//ljZ2dlyuVw6f/68du/ezUVHAMDmCGwAgC4rKChI2dnZevvtt7/R5e0Nw1Dv3r3bfYYqPDxcKSkpeueddzRx4kSNHDlSS5Ys0fz587V27Vpz3M6dOzV27FjNnDlTw4cPV05Ojvn5tOTkZO3YsUPbtm3TyJEjtXTpUq1YsUJz5sxp87ETExO1f/9+nTt3ThMmTNCoUaO0dOlSxcXFdXjeAIAHh6tEAgAAAIBNcYYNAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACb+j9ZCiQBHM5wBgAAAABJRU5ErkJggg==\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Calculate the average transaction count by RFM score\n", "avg_transaction_count_by_rfm = rfm.groupby('rfm_score')['transaction_count'].mean().reset_index()\n", "avg_transaction_count_by_rfm.columns = ['rfm_score', 'average_transaction_count']\n", "\n", "# Plotting\n", "plt.figure(figsize=(10, 6))\n", "bars = plt.bar(avg_transaction_count_by_rfm['rfm_score'].astype(str), avg_transaction_count_by_rfm['average_transaction_count'], color='skyblue')\n", "plt.xlabel('RFM Score')\n", "plt.ylabel('Average Transaction Count')\n", "plt.title('Average Transaction Count by RFM Score')\n", "plt.grid(axis='y', linestyle='--', alpha=0.7)\n", "\n", "# Add data labels\n", "for bar in bars:\n", " plt.text(bar.get_x() + bar.get_width() / 2, bar.get_height() + 0.5, f'{bar.get_height():.2f}', ha='center', va='bottom')\n", "\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 564 }, "id": "BiwdEVld1VRL", "outputId": "c6bc7b4d-6d5b-4a71-b850-4de609ed2714" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Calculate the average transaction count by RFM score\n", "avg_transaction_count_by_rfm = rfm.groupby('rfm_score')['transaction_count'].mean().reset_index()\n", "avg_transaction_count_by_rfm.columns = ['rfm_score', 'average_transaction_count']\n", "\n", "# Plotting\n", "plt.figure(figsize=(10, 6))\n", "bars = plt.bar(avg_transaction_count_by_rfm['rfm_score'].astype(str), avg_transaction_count_by_rfm['average_transaction_count'], color='skyblue')\n", "plt.xlabel('RFM Score')\n", "plt.ylabel('Average Transaction Count')\n", "plt.title('Average Transaction Count by RFM Score')\n", "plt.grid(axis='y', linestyle='--', alpha=0.7)\n", "\n", "# Add data labels\n", "for bar in bars:\n", " plt.text(bar.get_x() + bar.get_width() / 2, bar.get_height() + 0.5, f'{bar.get_height():.2f}', ha='center', va='bottom')\n", "\n", "plt.show()" ], "metadata": { "id": "3xVg6QyVJDWp" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Let's add rfm['rfm_score'] to df\n", "customer_rfm_dict = dict(zip(rfm['customer_id'], rfm['rfm_score']))\n", "df['rfm_score'] = df['customer_id'].map(customer_rfm_dict)" ], "metadata": { "id": "Avc2BZAQJDUf" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "# Let's group data by 'card_type' and calculate average RFM score\n", "df['rfm_score'] = df['rfm_score'].astype(int)\n", "avg_rfm_by_card_type = df.groupby('card_type')['rfm_score'].mean().reset_index()\n", "avg_fraud_by_card_type = df.groupby('card_type')['is_fraudulent'].mean().reset_index()\n", "\n", "plt.figure(figsize=(10, 6))\n", "bars = plt.barh(avg_rfm_by_card_type['card_type'], avg_rfm_by_card_type['rfm_score'], color='skyblue')\n", "plt.xlabel('Average RFM Score')\n", "plt.ylabel('Card Type')\n", "plt.title('Average RFM Score by Card Type')\n", "\n", "for bar in bars:\n", " plt.text(bar.get_width(), bar.get_y() + bar.get_height() / 2, f'{bar.get_width():.2f}', ha='left', va='center')\n", "\n", "plt.grid(axis='x', linestyle='--', alpha=0.7)\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 564 }, "id": "uED4APBXJDM3", "outputId": "236e3d3a-e07d-44dd-f27d-ece1a13ef512" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Let's group data by 'card_type' and calculate average RFM score and fraud rate\n", "avg_rfm_by_card_type = df.groupby('card_type')['rfm_score'].mean().reset_index()\n", "avg_fraud_by_card_type = df.groupby('card_type')['is_fraudulent'].mean().reset_index()\n", "\n", "bar_width = 0.4\n", "index = np.arange(len(avg_rfm_by_card_type['card_type']))\n", "plt.figure(figsize=(12, 8))\n", "\n", "plt.barh(index, avg_rfm_by_card_type['rfm_score'], bar_width, color='skyblue', label='Average RFM Score')\n", "\n", "plt.barh(index + bar_width, avg_fraud_by_card_type['is_fraudulent'], bar_width, color='orange', label='Average Fraud Rate')\n", "\n", "# Add data labels for RFM score\n", "for i, rfm_score in enumerate(avg_rfm_by_card_type['rfm_score']):\n", " plt.text(rfm_score, i, f'{rfm_score:.2f}', ha='left', va='center')\n", "\n", "# Add data labels for fraud rate\n", "for i, fraud_rate in enumerate(avg_fraud_by_card_type['is_fraudulent']):\n", " plt.text(fraud_rate, i + bar_width, f'{fraud_rate:.2%}', ha='left', va='center', color='black')\n", "\n", "plt.xlabel('Average RFM Score / Average Fraud Rate')\n", "plt.ylabel('Card Type')\n", "plt.title('Average RFM Score and Fraud Rate by Card Type')\n", "plt.yticks(index + bar_width / 2, avg_rfm_by_card_type['card_type'])\n", "plt.legend()\n", "plt.grid(axis='x', linestyle='--', alpha=0.7)\n", "plt.tight_layout()\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 807 }, "id": "C-glofPLJDGx", "outputId": "8ca3d3a6-88e8-4b73-a065-bd3e5bf47d11" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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}, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "Good Insight: Customer's fraud perceptance is more when customer's Rfm score also is more." ], "metadata": { "id": "PXU5alQoO3ev" } }, { "cell_type": "code", "source": [ "# Let's group data by 'Age_group' and calculate average RFM score and fraud rate\n", "avg_rfm_by_card_type = df.groupby('Age_group')['rfm_score'].mean().reset_index()\n", "avg_fraud_by_card_type = df.groupby('Age_group')['is_fraudulent'].mean().reset_index()\n", "\n", "bar_width = 0.4\n", "index = np.arange(len(avg_rfm_by_card_type['Age_group']))\n", "plt.figure(figsize=(12, 8))\n", "\n", "plt.barh(index, avg_rfm_by_card_type['rfm_score'], bar_width, color='skyblue', label='Average RFM Score')\n", "\n", "plt.barh(index + bar_width, avg_fraud_by_card_type['is_fraudulent'], bar_width, color='orange', label='Average Fraud Rate')\n", "\n", "# Add data labels for RFM score\n", "for i, rfm_score in enumerate(avg_rfm_by_card_type['rfm_score']):\n", " plt.text(rfm_score, i, f'{rfm_score:.2f}', ha='left', va='center')\n", "\n", "# Add data labels for fraud rate\n", "for i, fraud_rate in enumerate(avg_fraud_by_card_type['is_fraudulent']):\n", " plt.text(fraud_rate, i + bar_width, f'{fraud_rate:.2%}', ha='left', va='center', color='black')\n", "\n", "plt.xlabel('Average RFM Score / Average Fraud Rate')\n", "plt.ylabel('Age Group')\n", "plt.title('Average RFM Score and Fraud Rate by Age Group')\n", "plt.yticks(index + bar_width / 2, avg_rfm_by_card_type['Age_group'])\n", "plt.legend()\n", "plt.grid(axis='x', linestyle='--', alpha=0.7)\n", "plt.tight_layout()\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 807 }, "id": "dJhjz1P2JDCY", "outputId": "a9beacd1-1430-4de1-c5cd-124ba661f6f6" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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}, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Let's group data by 'country' and calculate average RFM score and fraud rate\n", "avg_rfm_by_country = df.groupby('country')['rfm_score'].mean().reset_index()\n", "avg_fraud_by_country = df.groupby('country')['is_fraudulent'].mean().reset_index()\n", "\n", "avg_rfm_by_country = avg_rfm_by_country.sort_values(by='rfm_score', ascending=False)\n", "\n", "avg_fraud_by_country = avg_fraud_by_country.sort_values(by='is_fraudulent', ascending=False)\n", "\n", "bar_width = 0.4\n", "index = np.arange(len(avg_rfm_by_country['country']))\n", "plt.figure(figsize=(12, 8))\n", "\n", "plt.barh(index, avg_rfm_by_country['rfm_score'], bar_width, color='skyblue', label='Average RFM Score')\n", "\n", "plt.barh(index + bar_width, avg_fraud_by_country['is_fraudulent'], bar_width, color='orange', label='Average Fraud Rate')\n", "\n", "for i, rfm_score in enumerate(avg_rfm_by_country['rfm_score']):\n", " plt.text(rfm_score, i, f'{rfm_score:.2f}', ha='left', va='center')\n", "\n", "for i, fraud_rate in enumerate(avg_fraud_by_country['is_fraudulent']):\n", " plt.text(fraud_rate, i + bar_width, f'{fraud_rate:.2%}', ha='left', va='center', color='black')\n", "\n", "plt.xlabel('Average RFM Score / Average Fraud Rate')\n", "plt.ylabel('Country')\n", "plt.title('Average RFM Score and Fraud Rate by Country')\n", "plt.yticks(index + bar_width / 2, avg_rfm_by_country['country'])\n", "plt.legend()\n", "plt.grid(axis='x', linestyle='--', alpha=0.7)\n", "plt.tight_layout()\n", "plt.show()\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 807 }, "id": "KP1TPrRXPuZe", "outputId": "d8df7b87-4665-4eea-b7d8-6df2c6cfa023" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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bALZu3coHH3ygM8LI3t4ePz+/56qnVKlS2Nvb4+bmRo8ePShRogTbtm3TGYlmamqqju5LS0vj9u3bWFpaUqpUqVy9byIjIzl//jydOnXi9u3baiw8ePCAevXqsXfv3lxNO+zSpYvOtLp27drh5OSkE49dunTh8OHDOtMPQ0NDcXFxoXbt2tnWnZCQAJDltL2sbN26FUNDQwYMGKCTPnjwYBRFYdu2bbmqJytPv5c++ugjbt++rbbxReqA9Htz/fp1nfdeaGgo5ubmtG3b9oXbK4QQb4JM3xNCCCHeEWlpaaxatYo6depw+fJlNb169epMmzaNXbt20bBhQ4yMjGjbti0rV64kKSkJU1NT1q1bR0pKik6n1Pnz5zl79iz29vZZni8uLk7nubu7e5b5Nm/ezIQJE4iMjNRZi+rJDoW///4bAwODTHU8vWvgzZs3uXfvHgsXLmThwoW5aldWqlevzoQJE0hLS+P06dNMmDCBu3fvZruIePny5alfv/4z6wXo2LEjQ4YMYdu2bYSGhtK8efNcf0HO4OTkxLx585g7dy7nz58nLCyMb7/9llGjRuHk5ESvXr3UL+vlypXLtp6MjpyMqWdPKl26NGFhYZkWT376NTh//jyKolCyZMksz2FsbJzjtTx69IigoCCCg4O5du2azjo9WXXiPD3lKmP62d27d3Wu6en22NvbZzv9MitFihTJ8TXNLp7379/P6NGjOXjwoM76QJB+PTY2NrluA6RfT/Xq1TOlZ/Wa5WTt2rVYW1tz8+ZNvv/+ey5fvpxpCqBWq2XWrFnMnTuXy5cvqx3VAAUKFHjmOc6fPw+Q47TS+Pj4Z74OT792Go2GEiVK6Kwz9sknnxAYGEhoaCijRo0iPj6ezZs38+WXX+p8djzN2toaSJ9ymxt///03hQsXzvQeLV26tHr8ReUUyxntfJas4rBBgwY4OTkRGhpKvXr10Gq1/PTTT7Rq1eq5P2uEEOJNk04pIYQQ4h2xe/duYmNjWbVqFatWrcp0PDQ0lIYNGwLpHScLFixg27ZttG7dmtWrV+Pp6UnFihXV/FqtlvLlyzN9+vQsz+fi4qLzPKs1cH7//XdatmxJrVq1mDt3Lk5OThgbGxMcHMzKlSuf+xozRmF89tln2X4xrlChwjPrKViwoNoh0ahRIzw9PWnevDmzZs1i0KBBz92uJzk5OeHr68u0adPYv39/rnbcy45Go8HDwwMPDw+aNWtGyZIlCQ0NpVevXi/Vxpxk1ZGh0WjYtm0bhoaGmfJbWlrmWF///v0JDg4mMDCQGjVqYGNjg0ajoWPHjlmOqsnqHIBOZ5Y+ZBXPFy9epF69enh6ejJ9+nRcXFwwMTFh69atzJgxI1ejhJ7sCHqVatWqpe6+16JFC8qXL4+fnx/Hjh1TR0dNmjSJkSNH0qNHD8aPH6+uixYYGJirtmfkmTp1KpUqVcoyz7PiIbfy589P8+bN1U6pNWvWkJSU9MwdE0uUKIGRkRGnTp16Je3IkF1HWE6v56uI5azi0NDQkE6dOrFo0SLmzp3L/v37uX79eq53kxRCiLxEOqWEEEKId0RoaCgODg788MMPmY6tW7eO9evXM3/+fMzNzalVqxZOTk78/PPPfPjhh+zevZtvvvlGp0zx4sU5efIk9erVy3FkQk7Wrl2LmZkZYWFh6gLSkL6D2ZNcXV3RarVcvnxZZxTFhQsXdPLZ29tjZWVFWlparkcu5UazZs2oXbs2kyZN4vPPP3/pbdc7depEr169sLW1pWnTpq+kjcWKFSN//vzExsYC/y2IfPr06WzvhaurK5C+aPfTzp07R8GCBZ95rcWLF0dRFNzd3fHw8Hjudq9Zs4auXbsybdo0Ne3x48fcu3fvueuC/67p/PnzFCtWTE2/efOmOprqdfn1119JSkpi06ZNOqNgsprCmD9//kzXmJycrL5+GVxdXdURSE/K6jXLLUtLS0aPHk337t1ZvXq1unnBmjVrqFOnDkuWLNHJf+/ePbVDC7LvgMmIOWtr65d6/z19vYqicOHChUwdyl26dKFVq1YcOXJEXdi7bNmyOdadL18+6taty+7du7l69WqmzvOnubq6snPnTu7fv68zyujcuXPqcfhvlNPTr+nLjKSC7O/1s3Tp0oVp06bx66+/sm3bNuzt7bOcbiqEEHmdrCklhBBCvAMePXrEunXraN68Oe3atcv0CAgI4P79+2zatAkAAwMD2rVrx6+//sqPP/5IamqqztQ9SN856tq1ayxatCjL8z148OCZ7TI0NESj0eiMJrhy5UqmnfsyvkzNnTtXJ3327NmZ6mvbti1r167l9OnTmc6X1RbyuTVs2DBu376d5fU+r3bt2jF69Gjmzp2b7ZTA7Bw+fDjLe/vHH39w+/ZtdVqXl5cX7u7uzJw5M9MX5YyRGE5OTlSqVIlly5bp5Dl9+jS//fZbrjrMPv74YwwNDRk7dmymER6KonD79u0cyxsaGmYqN3v27BceMVS/fn2MjY2ZPXu2Tr0zZ858ofqeR8bIl6enID7dyQrpHTh79+7VSVu4cGGm627atCmHDh3ijz/+UNNu3rxJaGjoS7XVz8+PIkWKqDu9ZbT/6dfil19+4dq1azppGR2VT8dVlSpVKF68ON999x2JiYmZzpnb99/y5ct1ptetWbOG2NhYmjRpopOvSZMmFCxYkG+//ZaIiIhcjwQaPXo0iqLQuXPnLNt57Ngxli1bBqTf/7S0NObMmaOTZ8aMGWg0GrVN1tbWFCxYMNNr+vRn1vOysLB4oQ7aChUqUKFCBRYvXszatWvp2LEjRkYy3kAI8faRTy4hhBDiHbBp0ybu379Py5Ytszz+wQcfYG9vT2hoqNr59MknnzB79mxGjx5N+fLl1TVUMnTu3JnVq1fTt29f9uzZg4+PD2lpaZw7d47Vq1cTFhaGt7d3ju1q1qwZ06dPp3HjxnTq1Im4uDh++OEHSpQowZ9//qnmq1KlCm3btmXmzJncvn2bDz74gIiICKKjowHd0QSTJ09mz549VK9end69e1OmTBnu3LnD8ePH2blzJ3fu3Hmhe9ikSRPKlSvH9OnT8ff3f+ZaSTmxsbFhzJgxL1T2xx9/JDQ0lDZt2lClShVMTEw4e/YsS5cuxczMjK+//hpI71icN28eLVq0oFKlSnTv3h0nJyfOnTvHX3/9RVhYGJA+1apJkybUqFGDnj178ujRI2bPnp3rNhYvXpwJEyYwYsQIrly5QuvWrbGysuLy5cusX7+ePn36MGTIkGzLN2/enB9//BEbGxvKlCnDwYMH2blzZ67WMMqKvb09Q4YMISgoiObNm9O0aVNOnDjBtm3bdEb7vA4NGzbExMSEFi1a8Pnnn5OYmMiiRYtwcHDINAKqV69e9O3bl7Zt29KgQQNOnjxJWFhYpjYOHTqUH3/8kcaNGzNw4EAsLCxYuHAhrq6uOu+R52VsbMzAgQP56quv2L59O40bN6Z58+aMGzeO7t27U7NmTU6dOkVoaKjOiDNIf81tbW2ZP38+VlZWWFhYUL16ddzd3Vm8eDFNmjShbNmydO/eHWdnZ65du8aePXuwtrbm119/fWbb7Ozs+PDDD+nevTv//vsvM2fOpESJEvTu3TvTNXTs2JE5c+ZgaGjIp59+mqtrr1mzJj/88AP9+vXD09OTzp07U7JkSe7fv094eDibNm1iwoQJQPpUxzp16vDNN99w5coVKlasyG+//cbGjRsJDAxUR4dB+ms6efJkevXqhbe3N3v37lU/o15UlSpV2LlzJ9OnT6dw4cK4u7tnucZYVrp06aK+92TqnhDiraXv7f6EEEII8eq1aNFCMTMz09n+/WndunVTjI2NlVu3bimKkr69u4uLS5bboWdITk5Wvv32W6Vs2bKKqampkj9/fqVKlSrK2LFjlfj4eDUfoPj7+2dZx5IlS5SSJUsqpqamiqenpxIcHKxud/6kBw8eKP7+/oqdnZ1iaWmptG7dWomKilIAZfLkyTp5//33X8Xf319xcXFRjI2NFUdHR6VevXrKwoULn3mvXF1dlWbNmmV5LCQkRGdb9Ywt7H/55Zcc66xdu7ZStmzZHPPktq4///xT+eqrrxQvLy/Fzs5OMTIyUpycnJT27dsrx48fz5R/3759SoMGDRQrKyvFwsJCqVChgjJ79mydPDt37lR8fHwUc3NzxdraWmnRooVy5swZnTwZr8nNmzezbNfatWuVDz/8ULGwsFAsLCwUT09Pxd/fX4mKisrxeu7evat0795dKViwoGJpaak0atRIOXfunOLq6qp07dpVzRccHKwAypEjR3TKZ9y3PXv2qGlpaWnK2LFjFScnJ8Xc3Fzx9fVVTp8+nanO7OQUr4qSc4xs2rRJqVChgmJmZqa4ubkp3377rbJ06VIFUC5fvqzTxmHDhikFCxZU8uXLpzRq1Ei5cOFClm38888/ldq1aytmZmaKs7OzMn78eGXJkiWZ6sxKTq9bfHy8YmNjo9SuXVtRFEV5/PixMnjwYPW++fj4KAcPHlRq166t5smwceNGpUyZMoqRkZHOe0JRFOXEiRPKxx9/rBQoUEAxNTVVXF1dlQ4dOii7du3Ksa0Zr+VPP/2kjBgxQnFwcFDMzc2VZs2aKX///XeWZf744w8FUBo2bJhj3Vk5duyY0qlTJ6Vw4cKKsbGxkj9/fqVevXrKsmXLlLS0NDXf/fv3lS+//FLNV7JkSWXq1KmKVqvVqe/hw4dKz549FRsbG8XKykrp0KGDEhcXpwDK6NGj1XzZvSYZMf7ka3ru3DmlVq1airm5uQKosfGs96OiKEpsbKxiaGioeHh4PPe9EUKIvEKjKHpeNVIIIYQQIpciIyOpXLkyK1aswM/P7003RwihZydPnqRSpUosX76czp07v+nm5Cm3bt3CycmJUaNGMXLkyDfdHCGEeCGyppQQQggh8oRHjx5lSps5cyYGBgbUqlXrDbRICPGmLVq0CEtLSz7++OM33ZQ8JyQkhLS0NOmsE0K81WRNKSGEEELkCVOmTOHYsWPUqVMHIyMjtm3bxrZt2+jTp88zd9ASQrxbfv31V86cOcPChQsJCAh46R0x3yW7d+/mzJkzTJw4kdatW+Pm5vammySEEC9Mpu8JIYQQIk/YsWMHY8eO5cyZMyQmJlK0aFE6d+7MN998I7tKCfGecXNz499//6VRo0b8+OOPWFlZvekm5Rm+vr4cOHAAHx8fVqxYgbOz85tukhBCvDDplBJCCCGEEEIIIYQQeidrSgkhhBBCCCGEEEIIvZNOKSGEEEIIIYQQQgihd7JAgxAvSKvVcv36daysrNBoNG+6OUIIIYQQQgghRJ6gKAr379+ncOHCGBhkPx5KOqWEeEHXr1+X3aCEEEIIIYQQQohsXL16lSJFimR7XDqlhHhBGbvAXL58GTs7uzfcGvE+SE1N5cSJE1SuXFl2IhOvncSb0DeJOaFvEnNCnyTehL696ZhLSEjAxcXlmbunyrtBiBeUMWXP2toaa2vrN9wa8T5ITU3FwsICa2tr+WNGvHYSb0LfJOaEvknMCX2SeBP6lldi7llL3chC50IIIYQQQgghhBBC76RTSoiXJIucC33RaDTY2NhIzAm9kHgT+iYxJ/RNYk7ok8Sb0Le3JeY0iqIob7oRQryNEhISsLGxIT4+XqbvCSGEEEIIIYQQ/y+335dlMqsQL0mr1b7pJoj3hFar5fr168/cVlWIV0HiTeibxJzQN4k5oQ9paWmkpKSg1WqJi4vDwcFB4k3oxeuOOWNjYwwNDV+6HumUEuIlSaeU0BetVss///yDo6Oj/DEjXjuJN6FvEnNC3yTmxOukKAo3btzg3r176vPk5GQePnyY56dTiXeDPmLO1tYWR0fHl6pfOqWEEEIIIYQQQohXKKNDysHBgXz58gHw8OFD8uXLJ51SQi8URXltMZdRd1xcHABOTk4vXJd0SgkhhBBCCCGEEK9IWlqa2iFVoEABIP1LfFpaGmZmZtIpJfTidcecubk5gDpF8EWn8sk4VSFekgz3FvpiYGCAvb29xJzQC4k3oW8Sc0LfJObE65KSkgKgjpDKYGQkY0KEfr3umMuI8YyYfxHyrhDiJckfMkJfDAwMKF68+JtuhnhPSLwJfZOYE/omMSdetydHp2g0GszMzN5ga8T7Rh8x9ypGYMm3aSFekix0LvRFq9Vy8eJFiTmhFxJvQt8k5oS+ScwJfVIUhcePH6MoyptuinhPvC0xJ51SQrwk+UNG6ItWq+XmzZsSc0IvJN6EvknMCX2TmBP6lpqa+qabIN4zb0PMyfQ9IYQQQgghhBBCD76NvK23cw2vXPCFyh08eJAPP/yQxo0bs2XLllfcqrznySloVlZWlCpViv/973+0atVKTQ8JCaF79+6Zyi5atIhevXqpxz09PTl79qxOnl9++YUOHTrg6urKlStXsm1HREQEY8eOJTIyksePH+Ps7EzNmjVZtGgRJiYmL3+heZSMlBJCCCGEEEIIIQQAS5YsoX///uzdu5fr16+/1nMpipInRvMEBwcTGxvL0aNH8fHxoV27dpw6dUonj7W1NbGxsToPPz8/9biFhQVxcXEcPHhQp9ySJUsoWrRojuc/c+YMjRs3xtvbm71793Lq1Clmz56NiYkJaWlpr+5Cn5BX7r10SgnxkmShc6EvBgYGFClSRGJO6IXEm9A3iTmhbxJzQt/ehtEuiYmJ/Pzzz3zxxRc0a9aMkJAQ9VinTp345JNPdPKnpKRQsGBBli9fDqRPiw0KCsLd3R1zc3MqVqzImjVr1Pzh4eFoNBq2bdtGlSpVMDU1Zd++fVy8eJFWrVpRqFAhLC0tqVq1Kjt37tQ5V2xsLM2aNcPc3Bx3d3dWrlyJm5sbM2fOVPPcu3ePXr16YW9vj7W1NXXr1uXkyZPPvG5bW1scHR3x8PBg/PjxpKamsmfPHp08Go0GR0dHnYe5ubl63MjIiE6dOrF06VI17Z9//iE8PJxOnTrleP7ffvsNR0dHpkyZQrly5ShevDiNGzdm0aJFOufYv38/vr6+5MuXj/z589OoUSPu3r0LQFJSEgMGDMDBwQEzMzM++ugj/vzzz2fe+2e9Zq+bfAIL8ZLkDxmhL/LHs9AniTehbxJzQt8k5oQ+aTSat6JTavXq1Xh6elKqVCk+++wzli5dqi6U7efnx6+//kpiYqKaPywsjIcPH9KmTRsAgoKCWL58OfPnz+evv/7iyy+/5LPPPiMiIkLnPMOHD2fy5MmcPXuWChUqkJiYSNOmTdm1axcnTpygcePGtGjRgpiYGLVMly5duH79OuHh4axdu5aFCxcSFxenU2/79u2Ji4tj27ZtHDt2DC8vL+rVq8edO3dydf2pqaksWbIEeLFOxB49erB69WoePnwIpE/7a9y4MYUKFcqxnKOjI7GxsezduzfbPJGRkdSrV48yZcpw8OBB9u3bR4sWLdSRVEOHDmXt2rUsW7aM48ePU6JECZo3b652WmV4+t7n9jV7XWRNKSFe0usaTinE09LS0oiOjsbDwwNDQ8M33RzxjpN4E/omMSf0TWJO6FPGTmh53ZIlS/jss88AaNy4MfHx8URERODr60ujRo2wsLBg/fr1dO7cGYCVK1fSsmVLrKysSEpKYtKkSezcuZMaNWoAUKxYMfbt28eCBQuoXbu2ep5x48bRoEED9bmdnR0VK1ZUn48fP57169ezadMmAgICOHfuHDt37uTIkSN4e3sDsHjxYkqWLKmW2bdvH3/88QdxcXGYmpoC8N1337FhwwbWrFlDnz59sr3uTz/9FENDQx49eoRWq8XNzY0OHTro5ImPj8fS0lJ9bmlpyY0bN3TyVK5cmWLFirFmzRo6d+5MSEgI06dP59KlSzne9/bt2xMWFkbt2rVxdHTkgw8+oF69enTp0gVra2sApkyZgre3N3PnzlXLlS1bFoAHDx4wb948QkJCaNKkCQALFy7kt99+Y/HixQwdOlQt8+S9f57X7HWRfwsI8ZLy+hab4t2hKArx8fESc0IvJN6EvknMCX2TmBP6ltf/mR0VFcUff/zBp59+CqRPR/vkk0/UkUNGRkZ06NCB0NBQIL0jZOPGjeq6ShcuXODhw4c0aNAAS0tL9bF8+XIuXryoc66MjqUMiYmJDBkyhNKlS2Nra4ulpSVnz55VR0pFRUVhZGSEl5eXWqZEiRLkz59ffX7y5EkSExMpUKCAzvkvX76c6fxPmzFjBpGRkWzbto0yZcqwePFi7OzsdPJYWVkRGRmpPg4cOJBlXT169CA4OJiIiAgePHhA06ZNczw3gKGhIcHBwfzzzz9MmTIFZ2dnJk2aRNmyZYmNjQX+GymVlYsXL5KSkoKPj4+aZmxsTJUqVTItvP7kvX+e1+x1kZFSQgghhBBCCCHEe27JkiWkpqZSuHBhNU1RFExNTZkzZw42Njb4+flRu3Zt4uLi2LFjB+bm5jRu3BhAnda3ZcsWnJ2dderOGLmUwcLCQuf5kCFD2LFjB9999x0lSpTA3Nycdu3akZycnOv2JyYm4uTkRHh4eKZjtra2OZZ1dHSkRIkSlChRguDgYJo2bcqZM2dwcHBQ8xgYGFCiRIlntsPPz4+hQ4cyZswYOnfujJFR7rtdnJ2d6dy5M507d2b8+PF4eHgwf/58xo4dq7O21Mt48t4/z2v2ushIKSGEEEIIIYQQ4j2WmprK8uXLmTZtms5ooJMnT1K4cGF++uknAGrWrImLiws///wzoaGhtG/fHmNjYwDKlCmDqakpMTExagdPxsPFxSXH8+/fv59u3brRpk0bypcvj6OjI1euXFGPlypVitTUVE6cOKGmXbhwQWe9JC8vL27cuIGRkVGm8xcsWDDX96JatWpUqVKFiRMn5rrMk+zs7GjZsiURERH06NHjheoAyJ8/P05OTjx48ACAChUqsGvXrizzFi9eHBMTE/bv36+mpaSkcPz4ccqUKZPtOV7mNXtVZKSUEC9JFscU+mJgYECxYsUk5oReSLwJfZOYE/omMSf0LX3kSd5cV2rz5s3cvXuXnj17YmNjo3Osbdu2LFmyhL59+wLpu/DNnz+f6OhonR3qrKysGDJkCF9++SVarZYPP/yQ+Ph49u/fj7W1NV27ds32/CVLlmTdunW0aNECjUbDyJEj0Wq16nFPT0/q169Pnz59mDdvHsbGxgwePBhzc3M0Gg0A9evXp0aNGrRu3ZopU6bg4eHB9evX2bJlC23atMk0ZTAngYGBtGnThqFDh2YaQZQbISEhzJ07lwIFCuQq/4IFC4iMjKRNmzYUL16cx48fs3z5cv766y9mz54NwIgRIyhfvjz9+vWjb9++mJiYsGfPHtq3b0/BggX54osv+Oqrr7Czs6No0aJMmTKFR48e0bNnz2zP+zKv2asin8BCvCT5Q0boi4GBAQ4ODhJzQi8k3oS+ScwJfZOYE/qk0WjUEUV50ZIlS6hfv36mDilI75Q6evQof/75J5A+Pe3MmTM4OzvrrGEE6QuUjxw5kqCgIEqXLk3jxo3ZsmUL7u7uOZ5/+vTp5M+fn5o1a9KiRQsaNWqks34UwPLlyylUqBC1atWiTZs29O7dGysrK8zMzID0e7x161Zq1apF9+7d8fDwoGPHjvz999/P3P3uaY0bN8bd3f2FR0uZm5vnukMK0kdnJSYm0rdvX8qWLUvt2rU5dOgQGzZsUBcb9/Dw4LfffuPkyZNUq1aNGjVqsHHjRnV64OTJk2nbti2dO3fGy8uLCxcuEBYWlmltrKe96Gv2qmgUWdlPiBeSkJCAjY0Nd+7c0VlgT4jXJS0tjdOnT1OuXDnZJUi8dhJvQt8k5oS+ScyJ1+Xx48dcvnwZd3d3tcNEURQePXqkM7JHvJx//vkHFxcXdu7cme0C4O8zfcRcVrGeIeP7cnx8vLqDYFZk+p4QL0n6dYW+ZPxikZgT+iDxJvRNYk7om8Sc0Lcnp6OJ57d7924SExMpX748sbGxDB06FDc3N2rVqvWmm5ZnvQ0xJ51SQgghhBBCCCGEyNNSUlL4+uuvuXTpElZWVtSsWZPQ0NA8PS1SPJt0SgkhhBBCCCGEECJPa9SoEY0aNXrTzRCvmKzqJ8RLkjUIhL4YGhri6ekpMSf0QuJN6JvEnNA3iTmhb0+vuSPE6/Y2xJx0SgnxkmShQpFbkydPRqPREBgYqKZ9/vnnFC9eHHNzc+zt7WnVqhXnzp3LsrxGo8HW1pb169fTsGFDChQogEajITIyMlPeZ9V7584dWrRogaWlJZUrV+bEiRM65f39/Zk2bdoruW7xdsqIN/mME/oiMSf0TWJO6JNGo8HIyEjiTejN2xJz0iklxEtKTU19000Qb4EjR46wYMECKlSooJNepUoVgoODOXv2LGFhYSiKQsOGDUlLS8tUR2pqKkeOHCEhIYEPP/yQb7/9NtvzPaveiRMncv/+fY4fP46vry+9e/dWyx46dIjDhw/rdJ6J909GvMlnnNAXiTmhbxJzQp8UReHBgweysL7Qm7cl5mRNKSGEeM0SExPx8/Nj0aJFTJgwQedYnz591J/d3NyYMGECFStW5MqVKxQvXjxTXWlpaXz22WcYGRlx5cqVbM/5rHrPnj1Lx44d8fDwoE+fPixcuBBIX0Cyb9++LF68WKYziCw7R4V4nSTmhL5JzAl9yuudA+Ld8zbEnHRKiffClStXcHd358SJE1SqVOnVVr7OEfKlvNo6xduv03+/APz9/WnWrBn169fP1Cn1pAcPHhAcHIy7uzsuLi6vrClZ1VuxYkV2795Nr169CAsLU0dwTZkyBV9fX7y9vV/Z+YUQQgghhBAiKzJ9T7xy3bp1Q6PRZHo0btz4mWXd3NyYOXPmK2+Ti4sLsbGxlCtX7pXXLUROVq1axfHjxwkKCso2z9y5c7G0tMTS0pJt27axY8cOTExMXvrcOdU7fPhwjIyMKF68OOvXr2fJkiWcP3+eZcuWMXLkSPr27UuxYsXo0KED8fHxL90WIYQQQgghhHiadEqJ16Jx48bExsbqPH766ac31h5DQ0McHR0xMnr1gwMNkVFSImtXr15l4MCBhIaG5rjzhZ+fHydOnCAiIgIPDw86dOjA48ePM+UzNDSkQoUKuZ5Wl1O9NjY2rFy5kr///puIiAjKlCnD559/ztSpUwkNDeXSpUtERUWRL18+xo0b92I3QLzVnjfehHhZEnNC3yTmhL6Zm5u/6SaIPE6j0bBhw4ZXVt/bEHPSKSVeC1NTUxwdHXUe+fPnR1EUxowZQ9GiRTE1NaVw4cIMGDAAAF9fX/7++2++/PJLdXRVhrVr11K2bFlMTU1xc3PLtCuYm5sbkyZNokePHlhZWVG0aFF1jRxIn7735C5laWlp9OzZE3d3d8zNzSlVqhSzZs16/TdGvFeOHTtGXFwcXl5eGBkZYWRkREREBN9//z1GRkbqOhY2NjaULFmSWrVqsWbNGs6dO8f69euzrPN5RlA9T73BwcHY2trSqlUrwsPDad26NcbGxrRv357w8PDnvnbxbngVI/aEeB4Sc0LfJOZEToKCgqhatSpWVlY4ODjQunVroqKicl3+3r17HD16lAsXLgBgYGCA5icDWKnRz+MFHTx4EENDQ5o1a/bCdbxNsprl8+GHH77pZmXpyVlJxsbGuLu7M3To0Cz/oQ3pMZcVX1/fPLOpkXRKCb1au3YtM2bMYMGCBZw/f54NGzZQvnx5ANatW0eRIkUYN26cOroK0r/Yd+jQgY4dO3Lq1CnGjBnDyJEjCQkJ0al72rRpeHt7c+LECfr168cXX3yR7S8NrVZLkSJF+OWXXzhz5gyjRo3i66+/ZvXq1c99TWkYP3cZ8X6oV68ep06dIjIyUn14e3vj5+dHZGRklv+ZVRQFRVFISkrKdCwtLY2jR4++0KKsOdV78+ZNxo0bx+zZs9XzpKSkjwBMSUmRRWDfUy8Tb0K8CIk5oW8Sc+JZIiIi8Pf359ChQ+zYsYOUlBQaNmzIgwcPnlk2NTWVGzduYGlpqablplxesGTJEvr378/evXu5fv36az2Xoih5YgfM4OBgnVk+mzZtyjJfxt/Ib1LGrKRLly6p361Hjx6dZd63IeakU0q8Fps3b1bXssl4TJo0iZiYGBwdHalfvz5FixalWrVq6lb0dnZ2GBoaYmVlpY6uApg+fTr16tVj5MiReHh40K1bNwICApg6darOOZs2bUq/fv0oUaIEw4YNo2DBguzZsyfL9hkbGzN27Fi8vb1xd3fHz8+P7t2759gplZSUREJCgs5DiJxYWVlRrlw5nYeFhQUFChSgXLlyXLp0iaCgII4dO0ZMTAwHDhygffv2mJub07RpU7UeT09PnRFOd+7cITIykjNnzgAQFRVFZGQkN27cAMh1vRkCAwMZPHgwzs7OAPj4+PDjjz9y9uxZFi5ciI+Pz+u8TUIIIYQQedL27dvp1q0bZcuWpWLFioSEhBATE8OxY8dyLJeWlsatW7dwcHDA1NRUT619NRITE/n555/54osvaNasmc5AgE6dOvHJJ5/o5E9JSaFgwYIsX74cSP/nf1BQkDojpWLFiqxZs0bNHx4ejkajYdu2bVSpUgVTU1P27dvHxYsXadWqFYUKFcLS0pKqVauyc+dOnXPFxsbSrFkzzM3NcXd3Z+XKlZnWJL537x69evXC3t4ea2tr6taty8mTJ5953ba2tjqzfOzs7NTZNj///DO1a9fGzMyM0NBQbt++zaeffoqzszP58uWjfPnymZaqyWqt5EqVKjFmzBj1+fnz56lVqxZmZmaUKVOGHTt2PLOd8N+sJBcXF1q3bk39+vV1yma0r0iRIjg4OFChQgWd9nXr1o2IiAhmzZqljrrK2NX79OnTNGnSBEtLSwoVKkTnzp25detWrtr1omT3PfFa1KlTh3nz5umk2dnZ8eDBA2bOnEmxYsVo3LgxTZs2pUWLFjmu9XT27FlatWqlk+bj48PMmTNJS0tTR5tk7B4G6UMwHR0diYuLy7beH374gaVLlxITE8OjR49ITk7OcWe+oKAgxo4dmyl9dskzmFrbZltOvKdOZP3hHZOYQkrcIyafuEXCzYes3bKLSd/N4FHCPSwL2OPmVYNui7ew9JoBXEuvIyoqipV//kN00ds4xyczbe5PrBkbqNbZsWNHAOr1+Yr6fYfmul6A6AO72fvnOcoOmsHk/29z8ocdSd65n8pVq1GkrBdegwPUY+L9odGm4RyfTMTJ2ygGst6KeP0k5oS+ScyJnAyvXDBTWsbmL3Z2djmWnTt3LtWqVcPOzk6d/fG2WL16NZ6enpQqVYrPPvuMwMBARowYgUajwc/Pj/bt25OYmKiOAAsLC+Phw4e0adMGSP/OtGLFCubPn0/JkiXZu3cvn332Gfb29tSuXVs9z/Dhw/nuu+8oVqwY+fPn5+rVqzRt2pSJEydiamrK8uXLadGiBVFRURQtWhSALl26cOvWLcLDwzE2NmbQoEGZvu9l/CN227Zt2NjYsGDBAurVq0d0dPQzX7fsDB8+nGnTplG5cmXMzMx4/PgxVapUYdiwYVhbW7NlyxY6d+5M8eLFqVatWq7q1Gq1fPzxxxQqVIjDhw8THx//QtPpTp8+zYEDB3B1dVXTMto3dOhQjIyM2LNnj077Zs2aRXR0NOXKlVPXjrW3t+fevXvUrVuXXr16MWPGDB49esSwYcPo0KEDu3fvfu625ZZ0SonXwsLCghIlSmRKt7OzIyoqip07d7Jjxw769evH1KlTiYiIwNj45abBPV1eo9Gg1WqzzLtq1SqGDBnCtGnTqFGjBlZWVkydOpXDhw9nW/+IESMYNGiQ+jwhIQEXF5eXarN4//RZtFH92dreke6zVz2zTNDxm+k/aNOnF3i36EiVVn7Z5s9tvQAeNeviUbOuTpqJeT46fbskV+WFEEIIId4HWq2WwMBAfHx8ctzRe9++faxZs4YmTZrosXWvzpIlS/jss8+A9Gli8fHxRERE4OvrS6NGjbCwsGD9+vV07twZgJUrV9KyZUusrKxISkpi0qRJ7Ny5kxo1agBQrFgx9u3bx4IFC3Q6pcaNG0eDBg3U53Z2dlSsWFF9Pn78eNavX8+mTZsICAjg3Llz7Ny5kyNHjuDt7Q3A4sWLKVmypFpm3759/PHHH8TFxakj1L777js2bNjAmjVr6NOnT7bX/emnn+osrbFixQp1wEJgYCAff/yxTv4hQ4aoP/fv35+wsDBWr16d606pnTt3cu7cOcLCwihcuDAAkyZNylXcZMxKSk1NJSkpCQMDA+bMmaMed3Z2ZsiQISiKwoMHDyhXrhy//fab2j4bGxtMTEzIly+fOjsJYM6cOVSuXJlJkyapaUuXLsXFxYXo6Gg8PDxydW3PSzqlhN6Zm5vTokULWrRogb+/P56enpw6dQovLy9MTEwyzesvXbo0+/fv10nbv38/Hh4eL7xbyv79+6lZsyb9+vVT0y5evJhjGVNT0yyH3yoamQUr9EPRGHCtYCmJOaEXEm9C3yTmhL5JzInn4e/vz+nTp9m3b1+2ee7fv0/nzp1ZsGBBlt9TLCwsXmcTX1pUVBR//PGHumyEkZERn3zyCUuWLMHX1xcjIyM6dOhAaGgonTt35sGDB2zcuJFVq9L/GXrhwgUePnyo09kEkJycTOXKlXXSMjqWMiQmJjJmzBi2bNlCbGwsqampPHr0iJiYGLVtRkZGeHl5qWVKlChB/vz51ecnT54kMTGRAgUK6NT96NGjZ37XmzFjBvXr11efOzk5cfPmzSzbmpaWxqRJk1i9ejXXrl0jOTmZpKQk8uXLl+M5nnT27FlcXFzUDilA7ch7loxZSQ8ePGDGjBkYGRnRtm3bl27fyZMn2bNnj846aBkuXrwonVLi7ZKUlKSub5PByMiIzZs3k5aWRvXq1cmXLx8rVqzA3NxcHW7o5ubG3r176dixI6amphQsWJDBgwdTtWpVxo8fzyeffMLBgweZM2cOc+fOfeH2lSxZkuXLlxMWFoa7uzs//vgjR44cwd3d/aWuW4jXzVCbSqqh7BQk9EPiTeibxJzQN4k5kRsBAQFs3ryZvXv3UqRIkWzzXbx4kStXrvDFF1/www8/6CwyfezYMcqWLYu5Phr8gpYsWUJqaqpOR4miKJiamjJnzhxsbGzw8/Ojdu3axMXFsWPHDszNzWncuDGQ3rEEsGXLFnWt0gxP/3P/6Q66IUOGsGPHDr777jtKlCiBubk57dq1Izk5OdftT0xMxMnJKcudo21tbXMs6+jomGmmT0an1NNtnTp1KrNmzWLmzJmUL18eCwsLAgMDddpqYGCAoig65V7VIulPzkpaunQpFStWZMmSJfTs2VOnfTNmzKBs2bJYWVnx5ZdfPvNeJiYm0qJFC7799ttMx5ycnF5J27MinVLitdi+fXumwC1VqhSTJ09m8uTJDBo0iLS0NMqXL8+vv/6q9maPGzeOzz//nOLFi5OUlISiKHh5ebF69WpGjRrF+PHjcXJyYty4cXTr1u2F2/f5559z4sQJPvnkEzQaDZ9++in9+vVj27Ztz12XRsl6iqAQr5pG0eJ45+L//1dX1r4Qr5fEm9A3iTmhbxJz4lkURaF///6sX7+e8PDwZ/4DO2MGiFarRVEUXF1duXXrFmlpabi4uOSJXeayk5qayvLly5k2bRoNGzbUOda6dWt++ukn+vbtS82aNXFxceHnn39m27ZttG/fXl1GpUyZMpiamhITE6MzVS839u/fT7du3dS1qRITE9XFtyH9u2RqaionTpygSpUqQPrIrLt376p5vLy8uHHjBkZGRri5ub3AXch9W1u1aqVOc9RqtURHR1OmTBk1j729vc56YgkJCVy+fFl9Xrp0aa5evUpsbKz6vfnQoUPP3RYDAwO+/vprBg0aRKdOnTA3N9dp34MHDzA3N8/UvqxmKHl5ebF27Vrc3NxyXPP5VZNOKfHKhYSE6OzS8LTWrVtne+yDDz7IcneEtm3b6gxJfNqTH1gZIiMj1Z/d3Nx0eqpNTU0JDg4mODhYp0xQUFC25xDiZYUHzyJs9gRqftqHFl9NBGD9hMFc+GMvCTdvYGpuQdGKVWk8YBQO7iWzref07i0cWvcj186e5FH8Xfr/tJvCpcpnyvf3ySP89sMkrp4+joGhAU4e5ejxw2qMzcxJTU5i7bgvORuxDcsCDrQeMYUS1f/742Hvsjncu/EPLYdNfvU3QgghhBDiLeDv78/KlSvZuHEjVlZW6kwQGxsbzM3Txzx16dIFZ2dngoKCMDMzo1y5cjx+/JjLly9jZmamTuMzNzfXGTmV12zevJm7d+/Ss2dPbGxsdI61bduWJUuW0LdvXyB9F7758+cTHR2ts9u5lZUVQ4YM4csvv0Sr1fLhhx8SHx/P/v37sba2pmvXrtmev2TJkqxbt44WLVqg0WgYOXKkzvrAnp6e1K9fnz59+jBv3jyMjY0ZPHgw5ubmaDQaAOrXr0+NGjVo3bo1U6ZMwcPDg+vXr7NlyxbatGmTaRreiypZsiRr1qzhwIED5M+fn+nTp/Pvv//qdPrUrVuXkJAQWrRoga2tLaNGjdKZ0lm/fn08PDzo2rUrU6dOJSEhgW+++eaF2tO+fXu++uorfvjhB4YMGaLTPlNTU+bPn5+pfW5ubhw+fJgrV65gaWmJnZ0d/v7+LFq0iE8//ZShQ4diZ2fHhQsXWLVqFYsXL37hpXOeRTqlhHhJ/cvbvfBODuL9ceTIERb8uoIKFSpQ1cFc3dHFrpEPngN7UrRoUe7cucOYMWNYE/gJly9fzvTBn5qaytGjJqTaG1CySR0K9/Sjd+/e9PDMT6VKujvEHDx4kMYDOzJixAhahMzHyMiIkydP0sorfWvi2bNnk3T5NMcOH2Lbtm1MGfUF//77LxqNhsuXL7N060qOHj2KtbW13u6RyFsy4q1jxQJ6/W+ZeH9JzAl9k5gTz5Kxm7ivr69OenBwsDprIyYmBgODt39dsiVLllC/fv1MHVKQ3ik1ZcoU/vzzTypUqICfnx8TJ07E1dUVHx8fnbzjx4/H3t6eoKAgLl26hK2tLV5eXnz99dc5nn/69On06NGDmjVrUrBgQYYNG0ZCQoJOnuXLl9OzZ09q1aqFo6MjQUFB/PXXX5iZmQHpG11t3bqVb775hu7du3Pz5k0cHR2pVasWhQoVesk79J///e9/XLp0iUaNGpEvXz769OlD69at1d0ZIX2TrMuXL9O8eXNsbGwYP368zkgpAwMD1q9fT8+ePalWrRpubm58//336lTI52FkZERAQABTpkzhiy++UNvXuHFjzM3Ns2zfkCFD6Nq1K2XKlOHRo0dcvnwZNzc39u/fz7Bhw2jYsCFJSUm4urrSuHHj1xrjGuXpiY5CiFxJSEjAxsaG27dvS6eUyFFiYiJeXl7MnTuXCRMmUKlSJWbOnJll3j///JOKFSty4cIFihcvrnMsY8hy5cqVMTIy4sqVK7i7u3PixAl1d5AMH3zwAQ0aNGD8+PFZnqdfv35YW1szefJkHj16RL58+YiLi8Pe3p7GjRvz+eefq8Onxfvp6XgT4nWTmBP6JjEnXpeMkVLu7u5qh4miKDx8+JB8+fKpI3vEy/nnn39wcXFh586d1KtX7003J8/RR8xlFesZMr4vx8fH5/iPbvn0FeIlGa0rALnfaEG8Lzr919/v7+9Ps2bNqF+/PhMmTMi2yIMHDwgODsbd3R0XF5dMx42MjKhateozTx0XF8fhw4fx8/OjZs2aXLx4EU9PTyZOnMiHH34IQMWKFfnxxx959OgRYWFhODk5UbBgQUJDQzEzM5MOKZHreBPiVZGYE/omMSf0SaPR5Pnd9/K63bt3k5iYSPny5YmNjWXo0KG4ublRq1atN920POltibm3f5yhyNNu3LjBwIEDKVGiBGZmZhQqVAgfHx/mzZvHw4cP33TzXgkF+U+HyN6qVas4fvx4juuVzZ07F0tLSywtLdm2bRs7duzAxCTzTkCKonDv3r1MO3k87dKlSwCMGTOG3r17s337dry8vKhXrx7nz58HoEePHlSsWJEyZcowceJEVq9ezd27dxk1ahSzZ8/mf//7HyVKlKBRo0Zcu3btJe6AeFvlNt6EeFUk5oS+ScwJfVIUhdTUVIm3l5CSksLXX39N2bJladOmDfb29oSHh6sLrQtdb0vMSaeUeG0uXbpE5cqV+e2335g0aRInTpzg4MGDDB06lM2bN7Nz584sy72qrTL1JU0GHIpsXL16lYEDB6qjj7Lj5+fHiRMniIiIwMPDgw4dOvD48eNM+dLS0jh37lymnTKelrEo5Oeff0737t2pXLkyM2bMoFSpUixduhQAY2NjfvjhBy5fvsyRI0f48MMPGTx4MAMGDODEiRNs2LCBkydP8sEHHzBgwICXuAvibZXbeBPiVZGYE/omMSf0Lau/70TuNWrUiNOnT/Pw4UP+/fdf1q9fj6ur65tuVp72NsScdEqJ16Zfv34YGRlx9OhROnToQOnSpSlWrBitWrViy5YttGjRAkgfVjhv3jxatmyJhYUFEyem70q2ceNGvLy8MDMzo1ixYowdO1ZnG9V79+7Rq1cv7O3tsba2pm7dupl27vv111+pWrUqZmZmFCxYUGdKUlJSEkOGDMHZ2RkLCwuqV69OeHj4678x4r1x7Ngx4uLi8PLywsjICCMjIyIiIvj+++8xMjJS/wi2sbGhZMmS1KpVizVr1nDu3DnWr1//wufN2Fb2yR02IH3r2ZiYmCzL7Nmzh7/++ouAgADCw8Np2rQpFhYWdOjQQd4XQgghhBDvsNjYWM6cOcPx48eJjIzkwoULuerMSE1N5e+//+bkyZMcO3aMU6dO6Sym/aL1iveLDPEQr8Xt27fVEVLZzWN9crG1MWPGMHnyZGbOnImRkRG///47Xbp04fvvv+ejjz7i4sWL9OnTB4DRo0cD6Vtfmpubs23bNmxsbFiwYAH16tUjOjoaOzs7devPb775huXLl5OcnMzWrVvVcwYEBHDmzBlWrVpF4cKFWb9+PY0bN+bUqVOULFnyNd4d8b6oV68ep06d0knr3r07np6eDBs2LMttVRVFQVEUkpKSXvi8bm5uFC5cmKioKJ306OhomjRpkin/48eP8ff3JzQ0FENDQ9LS0tRhvikpKfIfZCGEEEKId9j9+/dxcHDAwsICRVG4du0a0dHRlC1bNsu/VyF9ZH50dDTGxsYUL14cY2NjkpOTdfK/SL3i/SOdUuK1uHDhAoqiUKpUKZ30ggULqr3j/v7+fPvttwB06tSJ7t27q/l69OjB8OHD6dq1KwDFihVj/PjxDB06lNGjR7Nv3z7++OMP4uLiMDU1BeC7775jw4YNrFmzhj59+jBx4kQ6duzI2LFj1XorVqwIpG/dGhwcTExMDIULFwbSt8Xcvn07wcHBTJo0KdM1JSUl6XQUZGxRqiFvz9EVb46VlRXlypXTSbOwsKBAgQKUK1eOS5cu8fPPP9OwYUPs7e35559/mDx5Mubm5jRt2lQt4+npSVBQEC1btsTc3Jy7d+9y7do1rl+/DqB2Pjk6OuLo6IhGo+Grr75i9OjRVKxYkUqVKrFs2TLOnTvHmjVrMrVz/PjxNG3alMqVKwPg4+PDV199Rffu3ZkzZ06mrX7F+0Gj0WBubi47BAm9kZgT+iYxJ163jCUVMhgY5M2JSh4eHjrP3dzcOHnyJA8fPsTKyirLMrdu3SItLQ1PT0/1ujK+l71MveLVet0x93SMvwjplBJ69ccff6DVavHz89Pp4PH29tbJd/LkSfbv369O5YP0ef+PHz/m4cOHnDx5ksTERAoUKKBT7tGjR1y8eBGAyMhIevfunWU7Tp06RVpaWqYPyqSkpEx1ZggKCtLp4Mowq1Q0ZpbyoSqecuJWlskxiSmkxD1i8olbJNx8yNotu5j03QweJdzDsoA9bl416LZ4C0uvGcC19DqioqJY+ec/RLndBZw5Nvcn1oz5b52njh07AlCvz1fU7zs0PbH2Z9ToepteAQN5GH8PJ4+ydP3hF35JsNFp240LZ1nx408MWLWHyf+fri3ui1P1elTz+RB71xJ8MnG+eky8b5zZ9ufdN90I8V6RmBP6JjEnXj2NolCNNJL//gfrAgUxfHIh7qTEN9ewLDiYZ14kPON7Wsb3r6zcuXMHMzMzLl++TEJCAkZGRtjY2GBvb59tR29u6hWvloGBwUvNwMiOoigkJydz8+ZNDAwMstykKbekU0q8FiVKlECj0WSaPlSsWDEAzM3NddKfnuKXmJjI2LFj+fjjjzPVbWZmRmJiIk5OTlmudWNra5vlOZ6u39DQkGPHjmUaOmppaZllmREjRjBo0CD1eUJCAi4uLpDHdzMQeUufRRvVn63tHek+e9UzywQdv5n+g6Jg8fgeVVp0pErLT59Zzrf7QHy7D8wxj2OJ0gzZ+IdOmoGBAa1HTKH1iCnPPId4h/1/vD0wswUZRSD0QWJO6JvEnHhNFI2GSKUgJR7FU+D6dQz+P7w0ihZFk7dGSz0w0f0upCgKN2/eRKvVEhsbm22569evk5qaioWFBVZWViQlJXHu3DmuXbumfh97kXrFq6MoClqtFgMDg9c2IjRfvnwULVr0pUZkSaeUeC0KFChAgwYNmDNnDv379892XanseHl5ERUVRYkSJbI9fuPGDYyMjHBzc8syT4UKFdi1a5fOtMAMlStXJi0tjbi4OD766KNctcnU1DTTkFRI/+UihD5oFC3578fy0NQaRSPz8MXrJfEm9E1iTuibxJx4nZI0Rvyl2GGs1WKMFo2SRqG7l/k3v3ueirc+7vl1no8ZM4bff/+d0NBQHB0dsy33xRdfkJSUxM6dO9V/8gcHB7N06VJ+//33TPlzW694dVJTUzl9+jTlypXDyOjVd/0YGhpiZGT00h1e0iklXpu5c+fi4+ODt7c3Y8aMoUKFChgYGHDkyBHOnTtHlSpVsi07atQomjdvTtGiRWnXrh0GBgacPHmS06dPM2HCBOrXr0+NGjVo3bo1U6ZMwcPDg+vXr6uLm3t7ezN69Gjq1atH8eLF6dixI6mpqWzdupVhw4bh4eGBn58fXbp0Ydq0aVSuXJmbN2+ya9cuKlSoQLNmzfR4p4QQQgghhBDvHI2GFAxJwRCNYkBymsJDjPNUp5SZmZn6c0BAABs3bmTv3r3Z/uM/g6IoWFhY6Aw+cHNz4+jRo5mmcz1PveLVydi53szM7LV0Sr0qeWvsoHinFC9enBMnTlC/fn1GjBhBxYoV8fb2Zvbs2QwZMoTx48dnW7ZRo0Zs3ryZ3377japVq/LBBx8wY8YMXF1dgfSFKbdu3UqtWrXo3r07Hh4edOzYkb///ptChQoB4Ovryy+//MKmTZuoVKkSdevW5Y8//pumFBwcTJcuXRg8eDClSpWidevWHDlyhKJFi77eGyOEEEIIIYQQeYSiKAQEBLB+/Xp2796Nu7v7M8v4+Phw4cIFnYWuo6OjcXJyUjukXqRe8f7RKIosiCPEi0hISMDGxoYxERcwtbJ5080Rb6nw4FmEzZ5AzU/70OKriTrHFEUhpH9Hog/s5rNpyyjn25gC8Ve5beOS5XoEcZei2f79OC4dP4A2NQ2HYh58NjUYW6ciOdZbtk76Tn8P4+/yy6gALh3dR4GixWg3ehaFPSuo5TYGDcWuiBsfde73Gu6EyGs0ijbHeBPiVZOYE/omMSf0Ka/G2/DKBenXrx8rV65k48aNOrun29jYqOv0dunSBWdnZ4KCggC4evUqZcuWpWvXrvTv35/z58/To0cPBgwYwDfffAOQq3rF65OWlkZ0dDQeHh6Z1lHWh4zvy/Hx8VhbW2ebL++O4RLiLfFlJfsc32RCZOfIkSMs+HUFFSpUoKqDOcMrF9Q5PmPGDIrbmBINtC1mTWsvB8Ahy7ouXrxItT4t6NmzJ5/ODMLa2pq//vqLD7wL4+DwjHr//7yDBwdRyCCJjZEnmDdvHr9PG8rRo0cBOHToEGsu/cmmnxa9kV9q4k3JOt6EeH0k5oS+ScwJfcqb8TZv3jwgfabJk4KDg+nWrRsAMTExOotZu7i4EBYWxpdffkmFChVwdnZm4MCBDBs27LnqFa+PoaEhpUuXftPNeCbplBLiJT05ZFWI3EpMTMTPz49FixYxYcKETMcjIyOZNm0aR48excnJCUiPtevXr1O4cOFMO1x88803NG3alClT/tsxr3jx4rmqN8PZs2fp2LEjHh4e9OnTh4ULFwKQkpJC3759Wbx4sXRIvUdyijchXgeJOaFvEnNCn/JyvOVm8lRWu57XqFGDQ4cOvVS94vXJyzH3JOmUErnSrVs37t27x4YNG97Zc4eEhBAYGMi9e/eeq5x2jQPkS3k9jRLvlk7//WL29/enWbNm1K9fP1On1MOHD+nUqRM//PCDzu4kWq2Wf/75B0dHR51fLFqtli1btjB06FAaNWrEiRMncHd3Z8SIEbRu3fqZ9WaoWLEiu3fvplevXoSFhVGhQvrUvSlTpuDr64u3t/eruhPiLZBdvAnxukjMCX2TmBP6JPEm9O1tibm82zLx0m7evMkXX3xB0aJFMTU1xdHRkUaNGrF///7nrmvWrFmEhISoz319fQkMDHx1jRXiPbJq1SqOHz+uzsl/2pdffknNmjVp1apVruqLi4sjMTGRyZMn07hxY3777TfatGnDxx9/TERERK7rHT58OEZGRhQvXpz169ezZMkSzp8/z7Jlyxg5ciR9+/alWLFidOjQgfj4+Oe/cCGEEEIIIYR4goyUeoe1bduW5ORkli1bRrFixfj333/ZtWsXt2/ffu66bGz0v5B3WloaGo1G7+cV4nW6evUqAwcOZMeOHTpb8GbYtGkTu3fv5sSJE7muM2MKaatWrfjyyy8BqFSpEgcOHGD+/PnUrl07V/Xa2NiwcuVKnbS6desydepUQkNDuXTpElFRUfTu3Ztx48Yxbdq0XLdRCCGEEEIIIZ4mI6XeUffu3eP333/n22+/pU6dOri6ulKtWjVGjBhBy5YtGTJkCM2bN1fzz5w5E41Gw/bt29W0EiVKsHjxYiB9Cl3GNKBu3boRERHBrFmz0Gg0aDQarly5Qrdu3dTnTz4y5h8nJSUxZMgQnJ2dsbCwoHr16jpzk0NCQrC1tWXTpk2UKVMGU1NTYmJiMl3b9u3b+fDDD7G1taVAgQI0b96cixcvqsevXLmCRqNh3bp11KlTh3z58lGxYkUOHjyoU09ISAhFixYlX758tGnT5oU66wAMkDWlRO4dO3aMuLg4vLy8MDIywsjIiIiICL7//nuMjIzYsWMHFy9exNbWVj0O6Z3M9evXx97ePtPw24IFC2JkZESZMmV00kuXLq2+h3bv3p1tvU8vPpkhODgYW1tbWrVqRXh4OK1bt8bY2Jj27dtnua6AeLcYGBhkGW9CvC4Sc0LfJOaEPr0L8RYUFETVqlWxsrLCwcGB1q1bExUV9cxy9+7dw9/fHycnJ0xNTfHw8GDr1q3q8TFjxmT6Dunp6fk6L+W98LbEXN5unXhhlpaWWFpasmHDBpKSkjIdr127Nvv27SMtLQ2AiIgIChYsqH7RvHbtGhcvXszyy+qsWbOoUaMGvXv3JjY2ltjYWFxcXJg1a5b6PDY2loEDB+Lg4KB+oAQEBHDw4EFWrVrFn3/+Sfv27WncuDHnz59X63748CHffvstixcv5q+//sLBIfMOFQ8ePGDQoEEcPXqUXbt2YWBgQJs2bTItOP7NN98wZMgQIiMj8fDw4NNPPyU1NRWAw4cP07NnTwICAoiMjKROnTpZLjadGwakvVA58X6qV68ep06dIjIyUn14e3vj5+dHZGQk33zzDX/++afOcUjfMS84OJjixYtn+sViYmJC1apVM/1REB0djaurK5A+NS+nep928+ZNxo0bx+zZs4H0kYspKelrp6WkpKifHeLdZWBgkGW8CfG6SMwJfZOYE/r0LsRbREQE/v7+HDp0iB07dpCSkkLDhg158OBBtmWSk5Np0KABV65cYc2aNURFRbFo0SKcnZ118pUtW1bnu+S+ffte9+W8896WmJPpe+8oIyMjQkJC6N27N/Pnz8fLy4vatWvTsWNHKlSowEcffcT9+/c5ceIEVapUYe/evXz11VfqYuLh4eE4OztTokSJTHXb2NhgYmJCvnz5dBZLtrGxUaf5rVu3jgULFrBz504cHR2JiYkhODiYmJgYChcuDMCQIUPYvn07wcHBTJo0CUj/sjt37lwqVqyY7bW1bdtW5/nSpUuxt7fnzJkzlCtXTk0fMmQIzZo1A2Ds2LGULVuWCxcu4OnpyaxZs2jcuDFDhw4FwMPDgwMHDuiMFHtaUlKSTgdfQkICAFoMQTqmRC5ZWVnpxCmAhYUFBQoUUNOzWoS8aNGiuLq6cvHiRdzd3SlTpgxBQUG0adMGgK+++opPPvmEWrVqUadOHbZv386vv/6qdjQ7OjpmW6+7u3um9MDAQAYPHqz+weDj48OPP/5Iw4YNWbhwIT4+Pi91H0Tep9VquXz5Mu7u7nn+jxnxbpCYE/omMSf06V2It6e/K4WEhODg4MCxY8eoVatWlmWWLl3KnTt3OHDgAMbGxgC4ubllymdkZJTl36rixb0tMSedUu+wtm3b0qxZM37//XcOHTrEtm3bmDJlCosXL6Zbt25UrFiR8PBwTExMMDExoU+fPowePZrExEQiIiKoXbv2C533xIkTdO7cmTlz5qhfXE+dOkVaWhoeHh46eZOSkihQoID63MTERN3xKzvnz59n1KhRHD58mFu3bqkjpGJiYnS+7D9Zj5OTE5C+ILSnpydnz55Vv8xnqFGjRo6dUkFBQYwdOzZT+qyS5zC1ts2xzUIAcOJWlskxiSmkxD1icjbHAdZeSiDqxE2cb11jzT1LoqKiWPnnP0S5/X8Zt49oOWIqI8YHEd9/APauxek0NZh9Fp7se0a95546Hn1gN3v/PEfZQTPUNiV/2JHknfupXLUaRcp64TU4IMf2irefRpumxptiYPimmyPeAxJzQt8k5oQ+ve3xNrxywUxpGRvf2NnZZVtu06ZN1KhRA39/fzZu3Ii9vT2dOnVi2LBhGBr+dx/Onz9P4cKFMTMzo0aNGgQFBVG0aNFXfyHvEa1Wy82bN3F1dZVOKfHmmJmZ0aBBAxo0aMDIkSPp1asXo0ePplu3bvj6+hIeHo6pqSm1a9fGzs6O0qVLs2/fPiIiIhg8ePBzn+/GjRu0bNmSXr160bNnTzU9MTERQ0NDjh07pvPhA+lTDTOYm5s/c3HzFi1a4OrqyqJFiyhcuDBarZZy5cqRnJysky+jJx5Q63x6it/zGDFiBIMGDVKfJyQk4OLi8sL1CZGhz6KNOR4POn4z/QdtWua0J3i39sO7tV+uz5tVHQAeNeviUbOuTpqJeT46fbsk13ULIYQQQoh3l1arJTAwEB8fn0yzAJ506dIldu/ejZ+fH1u3buXChQv069ePlJQURo8eDUD16tUJCQmhVKlSxMbGMnbsWD766CNOnz6NlZWVvi5JvCHSKfWeKVOmjDpFr3bt2ixduhQjIyMaN24MgK+vLz/99BPR0dHZLn4M6SOanl5T5vHjx7Rq1QpPT0+mT5+uc6xy5cqkpaURFxfHRx999MLtv337tjoPOaOeF5lvXLp0aQ4fPqyTdujQoRzLmJqaYmpq+tznEkIIIYQQQoh3ib+/P6dPn37mdzGtVouDgwMLFy7E0NCQKlWqcO3aNaZOnap2SjVp0kTNX6FCBapXr46rqyurV6/WGegg3k3SKfWOun37Nu3bt6dHjx5UqFABKysrjh49ypQpU2jVqhUAtWrV4v79+2zevJnJkycD6Z1S7dq1w8nJKdNUuye5ublx+PBhrly5gqWlJXZ2dnz++edcvXqVXbt2cfPmfyMw7Ozs8PDwwM/Pjy5dujBt2jQqV67MzZs32bVrFxUqVFDXfnqW/PnzU6BAARYuXIiTkxMxMTEMHz78ue/PgAED8PHx4bvvvqNVq1aEhYXlOHUvJ8ozRnYJ8aooGg0JFvYSc0IvJN6EvknMCX2TmBP69C7FW0BAAJs3b2bv3r0UKVIkx7xOTk4YGxvrzJYpXbo0N27cIDk5GRMTk0xlbG1t8fDw4MKFC6+87e8TAwMDihQpkqen7oHsvvfOsrS0pHr16syYMYNatWpRrlw5Ro4cSe/evZkzZw6Q3sFTvnx57O3t1R3yatWqhVarfeZ6UkOGDMHQ0JAyZcpgb29PTEwMERERxMbGUqZMGZycnNTHgQMHgPTt5bt06cLgwYMpVaoUrVu35siRI881V9jAwIBVq1Zx7NgxypUrx5dffsnUqVOf+/588MEHLFq0iFmzZlGxYkV+++03/ve//z13PQBo5G0k9ERjQIKFvcSc0A+JN6FvEnNC3yTmhD69A/GmKAoBAQGsX7+e3bt3Z7lZztN8fHy4cOGCzjIq0dHRODk5ZdkhBelLv1y8eFFdF1i8mLelU0qjKIryphshxNsoISEBGxsb7ty5Q/78+d90c8Q7YPLkyYwYMYKBAwcyc+ZMIH30YkREhE6+Pn36sGDBgmzryW5dtilTpvDVV18BMHHiRLZs2UJkZCQmJibcu3dPJ++dO3fo2rUre/bsoWTJkixdupTKlSurx/39/SlWrNgLrT0n3g5paWlER0fj4eGRaS1AIV4HiTmhbxJzQp/ehXjr168fK1euZOPGjZQqVUpNt7GxwdzcHIAuXbrg7OxMUFAQAFevXqVs2bJ07dqV/v37c/78eXr06MGAAQP45ptvgPQBDxnrBl+/fp3Ro0cTGRnJmTNnsLe31/+FviPedMxlfF+Oj4/H2to623x5u8tMiLeA9OuKV+HIkSMsWLAgy90ne/fuTWxsLFevXmXz5s3qL/nsxMbG6jyWLl2KRqOhbdu2ap7k5GTat2/PF198kWUdEydO5P79+xw/fhxfX1969+6tHjt06BCHDx8mMDDwxS5WvBUURSE+Pl4+44TeSMwJfZOYE/r0LsTbvHnziI+Px9fXV2dmzM8//6zmiYmJITY2Vn3u4uJCWFgYR44coUKFCgwYMICBAwfqLMHyzz//8Omnn1KqVCk6dOhAgQIFOHTokHRIvaS3JeZkTSkhhHjDEhMT8fPzY9GiRUyYMCHT8Xz58uHo6Ehqair//PNPjv9pAHB0dNR5vnHjRurUqUOxYsXUtLFjxwIQEhKSZR1nz56lY8eOeHh40KdPHxYuXAhASkoKffv2ZfHixW/tf/mEEEIIIcTzy03nRnh4eKa0GjVq5Lip1KpVq16mWeItJ51SQrysdY6QL+VNt0K8bTr990vd39+fZs2aUb9+/Sw7pUJDQ1mxYgWOjo54eXkxZ86cZ3ZMZfj333/ZsmULy5Yte67mVaxYkd27d9OrVy/CwsLUEVxTpkzB19cXb2/v56pPCCGEEEIIIZ4m0/fEK9GtWzc0Gg19+/bNdMzf3x+NRkO3bt303zA9MCD1TTdBvMVWrVrF8ePHs52S16lTJ1asWMGePXsYNmwYO3fupGvXrrmuf9myZVhZWfHxxx8/V7uGDx+OkZERxYsXZ/369SxZsoTz58+zbNkyRo4cSd++fSlWrBgdOnQgPj7+ueoWbwcDAwOKFSuW5xfHFO8OiTmhbxJzQp8k3oS+vS0xJyOlxCvj4uLCqlWrmDFjhrrQ3ePHj1m5cuVz7bD3tjEgb8/RFXnX1atXGThwIDt27MDMzCzLPH369FF/Ll++PM7OztSrV4+LFy9SvHjxZ55j6dKl+Pn5ZVt/dmxsbFi5cqVOWt26dZk6dSqhoaFcunSJqKgoevfuzbhx45g2bdpz1S/yPgMDAxwcHN50M8R7RGJO6JvEnNAniTehb29LzOXtLjPxVvHy8sLFxYV169apaevWraNo0aI6u3YlJSUxYMAAHBwcMDMz48MPP+TIkSPq8fDwcDQaDbt27cLb25t8+fJRs2ZNoqKi1DwXL16kVatWFCpUCEtLS6pWrcrOnTt12pOUlMSwYcNwcXHB1NSUEiVKsGTJEvV4REQE1apVw9TUFCcnJ4YPH05q6vOPekqTvl3xgo4dO0ZcXBxeXl4YGRlhZGREREQE33//PUZGRqSlpenkT0tLI1++fABcuHDhmfX//vvvREVF0atXr5dua3BwMLa2trRq1Yrw8HBat26NsbEx7du3z3LtAPH2S0tL4+TJk5niUIjXRWJO6JvEnNCndyHegoKCqFq1KlZWVjg4ONC6dWud72jZuXfvHv7+/jg5OWFqaoqHhwdbt25Vj48ZMwaNRqPz8PT0fJ2X8l54W2JOOqXEK9WjRw+Cg4PV50uXLqV79+46eYYOHcratWtZtmwZx48fp0SJEjRq1Ig7d+7o5Pvmm2+YNm0aR48excjIiB49eqjHEhMTadq0Kbt27eLEiRM0btyYFi1aEBMTo+bp0qULP/30E99//z1nz55lwYIFWFpaAnDt2jWaNm1K1apVOXnyJPPmzWPJkiVZrufzLAqa5y4jBEC9evU4deoUkZGR6sPb2xs/Pz8iIyMzLSSuKAonT54EwMnJ6Zn1L1myhCpVqlCxYsWXaufNmzcZN24cs2fPBtJ/waWkpK+jlpKSkud/0YkXoygKjx49yvM7toh3h8Sc0DeJOaFP70K8RURE4O/vz6FDh9ixYwcpKSk0bNiQBw8eZFsmOTmZBg0acOXKFdasWUNUVBSLFi3C2dlZJ1/ZsmV1do/et2/f676cd97bEnMyxEO8Up999hkjRozg77//BmD//v2sWrVKHUnx4MED5s2bR0hICE2aNAFg0aJF7NixgyVLlvDVV1+pdU2cOJHatWsD6evbNGvWjMePH2NmZkbFihV1vmiPHz+e9evXs2nTJgICAoiOjmb16tXs2LGD+vXrA+jsPDZ37lxcXFyYM2eO2hN//fp1hg0bxqhRo7Kcd5uUlERSUpL6PCEh4RXdNfG+srKyoly5cjppFhYWFChQgHLlynHx4kVWrlxJ06ZNKVCgACdOnGD8+PF89NFH6sLjAJ6engQFBdGmTRs1LSEhgV9++SXbaXUxMTHcuXOHmJgY0tLSiIyMBKBEiRJq522GwMBABg8erP7x4OPjw48//kjDhg1ZuHAhPj4+r+J2CCGEEEKIPGz79u06z0NCQnBwcODYsWPUqlUryzJLly7lzp07HDhwAGNjYwDc3Nwy5TMyMsq0g7R4P0inlHil7O3tadasGSEhISiKQrNmzShYsKB6/OLFi6SkpOh8iTU2NqZatWqcPXtWp64nv3RnjAqJi4ujaNGiJCYmMmbMGLZs2UJsbCypqak8evRIHSmVMcoko1PraWfPnqVGjRpoNP+NcvLx8SExMZF//vknyzWwgoKCGDt2bKb02SXPYGptm4u7I8QTTtzKMjkmMYWUuEdMPnGLezcSWb1hG0HTZpDy6CE2hQpTvcZHVAsYz+QnykdFRbHyz3+Icvsv7Y+1y0nRKtwo01Anb4ZfRg/l+K8/q88zptj2XriBYt7/vT+jD+xm75/nKDtohlpP8ocdSd65n8pVq1GkrBdegwOyPId4u2m0aTjHJxNx8jaKgeGzCwjxkiTmhL5JzAl9etvjbXjlgpnSMja7sbOzy7bcpk2bqFGjBv7+/mzcuBF7e3s6derEsGHDdGYFnD9/nsKFC2NmZkaNGjUICgp6p9clFv+RTinxyvXo0YOAgAAAfvjhhxeuJ6MnHVA7j7RaLQBDhgxhx44dfPfdd5QoUQJzc3PatWtHcnIygLrQ+qs0YsQIBg0apD5PSEjAxcUFRSOzYMWr02fRRvVnW0dn+ize9N9BRcEs5QGPjS10ygQdv5mpnmptu1CtbZdsz9N+7Bzaj53zzPZ41KyLR826Omkm5vno9O2SbEqId4WiMeCWbVH5jBN6IzEn9E1iTujTuxZvWq2WwMBAfHx8Mo38f9KlS5fYvXs3fn5+bN26lQsXLtCvXz9SUlIYPXo0ANWrVyckJIRSpUoRGxvL2LFj+eijjzh9+jRWVlb6uqR3jqGhIZ6enpmWBMlrpFNKvHKNGzcmOTkZjUZDo0aNdI4VL14cExMT9u/fj6urK5C+Js2RI0cIDAzM9Tn2799Pt27d1OlKiYmJXLlyRT1evnx5tFotERER6vS9J5UuXZq1a9eiKIra4bV//36srKwoUqRIluc0NTXF1NQ08wGNrCkl9ESj4bGJ5bPzCfEqSLwJfZOYE/omMSf06R2LN39/f06fPv3MtZ+0Wi0ODg4sXLgQQ0NDqlSpwrVr15g6daraKZWxrAukz5apXr06rq6urF69mp49e77W63iXaTQabG1t33Qznund6KYVeYqhoSFnz57lzJkzmXplLSws+OKLL/jqq6/Yvn07Z86coXfv3jx8+PC5PnBKlizJunXriIyM5OTJk3Tq1EkdRQXp85S7du1Kjx492LBhA5cvXyY8PJzVq1cD0K9fP65evUr//v05d+4cGzduZPTo0QwaNCjL9aRyotHKIs9CPzTaNJxvnZOYE3oh8Sb0TWJO6JvEnNCndyneAgIC2Lx5M3v27Mn2H/oZnJyc8PDw0PleWLp0aW7cuKHOcnmara0tHh4eudptWmQvNTWVI0eOvNAO8/oknVLitbC2tsba2jrLY5MnT6Zt27Z07twZLy8vLly4QFhYGPnz5891/dOnTyd//vzUrFmTFi1a0KhRI7y8vHTyzJs3j3bt2tGvXz88PT3p3bu3ujOEs7MzW7du5Y8//qBixYr07duXnj178r///e/FL1oIPdA80fkqxOsm8Sb0TWJO6JvEnNCntz3eFEUhICCA9evXs3v3btzd3Z9ZxsfHhwsXLugMIIiOjsbJyQkTE5MsyyQmJnLx4sVc7TYtcvY27JKtUfL6/oBC5FEJCQnY2Nhw+/btHBf3EyK3Jk+ezIgRIxg4cCAzZ84EwNfXl4iICJ18vXv3ZuHChdnWo8lmSumUKVPUHS4nTpzIli1biIyMxMTEhHv37unkvXPnDl27dmXPnj2ULFmSpUuXqouhQ/qQ7WLFijF48OAXuFLxNkhNTeXo0aN4e3tjZCSz/cXrJzEn9E1iTujTuxBv/fr1Y+XKlWzcuJFSpUqp6TY2Nuqavl26dMHZ2ZmgoCAArl69StmyZenatSv9+/fn/Pnz9OjRgwEDBvDNN98A6esFt2jRAldXV65fv87o0aOJjIzkzJkz2Nvb6/9C3xFvOuYyvi/Hx8dnO2AFZKSUEELkCUeOHGHBggU6u05m6N27N7GxsVy9epXNmzczefLkHOuKjY3VeSxduhSNRkPbtm3VPMnJybRv354vvvgiyzomTpzI/fv3OX78OL6+vvTu3Vs9dujQIQ4fPvxc68AJIYQQQoi327x584iPj8fX1xcnJyf18fPP/+3oHBMTQ2xsrPrcxcWFsLAwjhw5QoUKFRgwYAADBw5k+PDhap5//vmHTz/9lFKlStGhQwcKFCjAoUOHpEPqPSEjpYR4QRk9v/fu3cPGxuZNN0e8xRITE/Hy8mLu3LlMmDCBSpUq6YyUyniuKAqPHj3C3Nw829FQWWndujX3799n165dmY6FhIQQGBiYaaRU06ZNadmyJX379uXs2bN4e3vz4MEDUlJSqFq1KosXL8bb2/tlLlvkcS8ab0K8KIk5oW8Sc0KfJN6Evr3pmMvtSKm3c9ygEC+gW7du3Lt3jw0bNrzain+xhXyvtkrxHuj03/8D/P39adasGfXr12fChAmZsoaGhrJixQocHR1p1qwZo0aNwsLCIlen+ffff9myZQvLli17ruZVrFiR3bt306tXL8LCwtQRXFOmTMHX11c6pN4T2a31IMTrIjEn9E1iTuiTxJvQt7ch5mT6nngrdOvWjdatWwPpI0fy0rShNIzfdBPEW2zVqlUcP35cnXf/tE6dOrFixQr27NnD0KFDCQ4O5rPPPst1/cuWLcPKyoqPP/74udo1fPhwjIyMKF68OOvXr2fJkiWcP3+eZcuWMXLkSPr27UuxYsXo0KED8fHxz1W3eDukpaVx9OjRt2KBTPFukJgT+iYxJ/RJ4k3o29sSczJSSggh3pCrV68ycOBAduzYgZmZWZZ5+vTpo/5cunRpEhIS6N+/PxcvXqR48eLPPMfSpUvx8/PLtv7s2NjYsHLlSp20unXrMnXqVEJDQ7l06RJRUVH07t2bcePGMW3atOeqXwghhBBCCCFkpJR4q3Tr1o2IiAhmzZqFRqNBo9Fw5coV0tLS6NmzJ+7u7pibm1OqVClmzZqVbT3Lly+nQIECJCUl6aS3bt2azp07v+7LEAKAY8eOERcXh5eXF0ZGRhgZGREREcH333+PkZFRlv/VKFu2LAAXLlx4Zv2///47UVFR9OrV66XbGhwcjK2tLa1atSI8PJzWrVtjbGxM+/btCQ8Pf+n6hRBCCCHE2yMoKIiqVatiZWWFg4MDrVu3Jioq6pnl7t27h7+/P05OTpiamuLh4cHWrVt18ly7do3PPvuMAgUKYG5uTvny5Tl69OjruhTxhslIKfFWmTVrFtHR0ZQrV45x48YBYG9vj1arpUiRIvzyyy8UKFCAAwcO0KdPH5ycnOjQoUOmetq3b8+AAQPYtGkT7du3ByAuLo4tW7bw22+/6fWaxPurXr16nDp1Siete/fueHp6MmzYMAwNDTOViY6OBsDJyemZ9S9ZsoQqVapQsWLFl2rnzZs3GTduHPv27QPShwKnpKQAkJKSkueHBAshhBBCiFcrIiICf39/qlatSmpqKl9//TUNGzbkzJkz2a59mpycTIMGDXBwcGDNmjU4Ozvz999/Y2trq+a5e/cuPj4+1KlTh23btmFvb8/58+fJnz+/nq5M6Jt0Som3io2NDSYmJuTLlw9HR0c13dDQkLFjx6rP3d3dOXjwIKtXr86yU8rc3JxOnToRHBysdkqtWLGCokWL4uvrm+W5k5KSdEZWJSQkpJ+blFdxaeI9ZGVlRbly5XTSLCwsKFCgAOXKlePixYusXLmSpk2bUqBAAU6ePMmUKVOoVauWuvA4gKenJ0FBQbRp00ZNS0hI4Jdffsl2Wl1MTAx37twhJiaGtLQ0IiMjAShRogSWlpY6eQMDAxk8eDDOzs4A+Pj48OOPP9KwYUMWLlyIj4/Pq7gdIo8xNDTE29s7y85RIV4HiTmhbxJzQp/etXjbvn27zvOQkBAcHBw4duwYtWrVyrLM0qVLuXPnDgcOHMDYOH1dXjc3N5083377LS4uLgQHB6tp7u7ur7bx74m3JeakU0q8M3744QeWLl1KTEwMjx49Ijk5mUqVKmWbv3fv3lStWpVr167h7OxMSEgI3bp1y3a7zKCgIJ2OrwwzPC5iZpX9FpdCZOnErSyTYxJTSIl7xOQTt7h3I5HVG7YRNG0GKY8eYlOoMOVqN8K391dMfqJ8VFQUK//8hyi3/9L+WLucFK3CjTINdfJm+GX0UI7/+rP6vHLlygD0XriBYt7/dTJFH9jN3j/PUXbQDLWe5A87krxzP5WrVqNIWS+8BgdkeQ7xllMUjNKSSTU0Adm6WuiDxJzQN4k5oU/vULwNr1wwU1rGxjd2dnbZltu0aRM1atTA39+fjRs3Ym9vT6dOnXRmCGzatIlGjRrRvn17IiIicHZ2pl+/fvTu3fv1XMw7Ljk5GXNz8zfdjBxpFEVRnp1NiDerW7du3Lt3jw0bNuDr60ulSpWYOXOmenzVqlV0796dadOmUaNGDaysrJg6dSqHDx9WR4A8WUeGKlWq0K5dOxo2bEi1atW4cuUKLi4uWbYhq5FSLi4ujAk/j6m17Wu4aiF0abRpON+K4lrBUigGefs/HuLtJ/Em9E1iTuibxJzQp3cp3p7ulNJqtbRs2ZJ79+6pyz1kxdPTkytXruDn50e/fv24cOEC/fr1Y8CAAYwePRpA3Zxn0KBBtG/fniNHjjBw4EDmz59P165dX99FvYNSU1M5evQo3t7eGBnpfzxSQkICNjY2xMfHY22d/SAOGSkl3jomJiaZ1rDZv38/NWvWpF+/fmraxYsXn1lXr169mDlzJteuXaN+/frZdkgBmJqaYmpq+uINF0IIIYQQQoh3jL+/P6dPn86xQwrSO68cHBxYuHAhhoaGVKlShWvXrjF16lS1U0qr1eLt7c2kSZOA9NH8p0+flk6pd5jsvifeOm5ubhw+fJgrV65w69YttFotJUuW5OjRo4SFhREdHc3IkSM5cuTIM+vq1KkT//zzD4sWLaJHjx56aL0QQgghhBBCvBsCAgLYvHkze/bsoUiRIjnmdXJywsPDQ2eNo9KlS3Pjxg2Sk5PVPGXKlNEpV7p0aWJiYl5940WeIJ1S4q0zZMgQDA0NKVOmDPb29sTExPD555/z8ccf88knn1C9enVu376tM2oqOzY2NrRt2xZLS0tat279+hsvxEtSDORjW+iPxJvQN4k5oW8Sc0Kf3qV4UxSFgIAA1q9fz+7du3O1GLmPjw8XLlxAq9WqadHR0Tg5OWFiYqLmiYqK0ikXHR2Nq6vrq72A90ReX+QcAEWI91zdunWV/v37P3e5+Ph4BVDi4+NfQ6vE+ygoKEgBlIEDB6pptWvXVgCdx+eff55jPffv31f8/f0VZ2dnxczMTCldurQyb948nTyPHj1S+vXrp9jZ2SkWFhbKxx9/rNy4cUM9fvv2baV58+aKhYWFUqlSJeX48eM65fv166d89913L3/RQgghhBDirfPFF18oNjY2Snh4uBIbG6s+Hj58qObp3LmzMnz4cPV5TEyMYmVlpQQEBChRUVHK5s2bFQcHB2XChAlqnj/++EMxMjJSJk6cqJw/f14JDQ1V8uXLp6xYsUKv1ydeXm6/L787XbVCPKe7d++yfv16wsPD8ff3f+F6FNkrQLwCR44cYcGCBVSoUCHTsd69exMbG8v169c5d+4c3377bY51DRo0iO3bt7NixQrOnj1LYGAgAQEBbNq0Sc3z5Zdf8uuvv/LLL78QERHB9evX+fjjj9XjEydO5P79+xw/fhxfX1+dHU8OHTrE4cOHCQwMfPkLF3mWoijcu3dPPuOE3kjMCX2TmBP69K7F27x584iPj8fX1xcnJyf18fPP/+3uHBMTQ2xsrPrcxcWFsLAwjhw5QoUKFRgwYAADBw5k+PDhap6qVauyfv16fvrpJ8qVK8f48eOZOXMmfn5+er2+d8HbEnOy0Ll4b1WuXJm7d+/y7bffUqpUqReu5+lF14V4XomJifj5+bFo0SImTJiQ6Xi+fPlwdHQkNTWVv//+m+LFi+dY34EDB+jatSu+vr4A9OnThwULFvDHH3/QsmVL4uPjWbJkCStXrqRu3boABAcHU7p0aQ4dOsQHH3zA2bNn6dixIx4eHvTp04eFCxcCkJKSQt++fVm8ePHbMRxYvLC0tDTOnTv3xnZsEe8fiTmhbxJzQp/etXjLTUdHeHh4prQaNWpw6NChHMs1b96c5s2bv2jTxP97W2Iu77ZMZOLm5kZgYOBrGZ2g0WhYv379S62r5OvrS6VKlZg5c+Yra1dWwsPDqVOnDnfv3sXW1vaF67ly5cqradA6R8iX8mrqEu+XTum/zP39/WnWrBn169fPslMqNDSUFStW4OjoiJeXF3PmzMlxW9WaNWuyadMmevToQeHChQkPDyc6OpoZM2YAcOzYMVJSUqhfv75axtPTk6JFi3Lw4EE++OADKlasyO7du+nVqxdhYWHqCK4pU6bg6+uLt7f3q7wTQgghhBBCiPeQTN97zXx9fbPsRAoJCXnuDpUjR47Qp08f9blGo2HDhg0v18Bc6tatW6YOqzVr1mBmZsa0adMAWLduHePHj9dLe4R4V6xatYrjx48TFBSU5fFOnTqxYsUK9uzZw9ChQ9m+ffszt8OdPXs2ZcqUoUiRIpiYmNC4cWN++OEHatWqBcCNGzcwMTHJ9BlUqFAhbty4AcDw4cMxMjKiePHirF+/niVLlnD+/HmWLVvGyJEj6du3L8WKFaNDhw7Ex8e//I0QQgghhBBCvHdkpNRbxN7e/k03QbV48WL8/f2ZP38+3bt3B8DOzu4Nt+rN0JC35+iKvOvq1asMHDiQHTt2YGZmlmWeJzuiy5QpQ1JSEn369OHixYvZTuObPXs2hw4dYtOmTbi6urJ37178/f0pXLiwzuionNjY2LBy5UqdtLp16zJ16lRCQ0O5dOkSUVFR9O7dm3Hjxqmd0+LdodFoMDc3R6PRvOmmiPeExJzQN4k5oU8Sb0Lf3paYk5FSeUTGSKTvvvsOJycnChQogL+/Pykp/00Lc3NzU6fGubm5AdCmTRs0Go36HGDjxo14eXlhZmZGsWLFGDt2LKmpqerx8+fPU6tWLczMzChTpgw7dux4rrZOmTKF/v37s2rVKrVDCjKPCnNzc2PSpEn06NEDKysrihYtqq5Lk+HAgQNUqlQJMzMzvL292bBhAxqNhsjISDXP1q1b8fDwwNzcnDp16mQ57W7t2rWULVsWU1NT3NzcMn1BdnNzY8KECXTp0gVLS0tcXV3ZtGkTN2/epFWrVlhaWlKhQgWOHj36XPcCwJDUZ2cSIgvHjh0jLi4OLy8vjIyMMDIyIiIigu+//x4jI6NM65UZGhrSqVMnAC5cuJBlnY8ePeLrr79m+vTptGjRggoVKhAQEMAnn3zCd999B4CjoyPJycncu3dPp+y///6Lo6NjlvUGBwdja2tLq1atCA8Pp3Xr1hgbG9O+ffss1wsQbz9DQ0MqVqwoa4cJvZGYE/omMSf06V2Ot6CgIKpWrYqVlRUODg60bt2aqKioZ5a7d+8e/v7+ODk5YWpqioeHB1u3blWPu7m5odFoMj1eZpOq98nbEnPSKZWH7Nmzh4sXL7Jnzx6WLVtGSEgIISEhWeY9cuQIkP5FMTY2Vn3++++/06VLFwYOHMiZM2dYsGABISEhTJw4EQCtVsvHH3+MiYkJhw8fZv78+QwbNizXbRw2bBjjx49n8+bNtGnT5pn5p02bhre3NydOnKBfv3588cUX6gdUQkICLVq0oHz58hw/fpzx48dnasvVq1f5+OOPadGiBZGRkfTq1UtndwZI/2LfoUMHOnbsyKlTpxgzZgwjR47MdO9mzJiBj48PJ06coFmzZnTu3JkuXbrw2Wefcfz4cYoXL06XLl2ee3cCLXm751nkXfXq1ePUqVNERkaqD29vb/z8/IiMjMz0C0Sr1bJnzx4AnJycsqwzJSWFlJQUDAx0P94NDQ3RarUAVKlSBWNjY3bt2qUej4qKIiYmhho1amSq8+bNm4wbN47Zs2cD6YsmZnSYp6SkyGL/7yitVktcXJwaN0K8bhJzQt8k5oQ+vcvxFhERgb+/P4cOHWLHjh2kpKTQsGFDHjx4kG2Z5ORkGjRowJUrV1izZg1RUVEsWrQIZ2dnNc+RI0eIjY1VHxmDKdq3b//ar+ld8LbEnEzfy0Py58/PnDlzMDQ0xNPTk2bNmrFr1y6drdgzZEzls7W11RnZMHbsWIYPH66uOVOsWDHGjx/P0KFDGT16NDt37uTcuXOEhYVRuHBhACZNmkSTJk2e2b5t27axceNGdu3ape7Y9SxNmzalX79+QHqH1owZM9izZw+lSpVi5cqVaDQaFi1apI7aunbtms71zps3j+LFi6sjn0qVKsWpU6f49ttv1TzTp0+nXr16jBw5EgAPDw/OnDnD1KlT6datm05bPv/8cwBGjRrFvHnzqFq1qvqhNmzYMGrUqJHtaJGkpCSSkpLU5wkJCQBoMQJkoXPx/KysrChXrpxOmoWFBQUKFKBcuXJcvHiRlStX0rRpUwoUKMCJEyfo378/H330kbrwOKQvUh4UFESbNm2wtramdu3afPXVV5ibm+Pq6kpERATLly9n+vTpQPrUvJ49ezJo0CDs7Oywtramf//+1KhRgw8++CBTOwMDAxk8eLD6R4KPjw8//vgjDRs2ZOHChfj4+LzGuyTeFK1Wy6VLl7Czs8vUySnE6yAxJ/RNYk7o07scb9u3b9d5HhISgoODA8eOHVPXNH3a0qVLuXPnDgcOHMDY2BhAZ/YPZF6+ZvLkyRQvXpzatWu/usa/w96WmJNOqTykbNmyOiMjnJycOHXq1HPVcfLkSfbv36+OjIL0UQ2PHz/m4cOHnD17FhcXF7VDCshyZERWKlSowK1btxg9ejTVqlXD0tIyV2UyaDQaHB0diYuLA9JHZlSoUEFnLZ1q1arplD979izVq1fXSXu6vWfPnqVVq1Y6aT4+PsycOZO0tDT1nj7ZlkKFCgFQvnz5TGlxcXFZdkoFBQUxduzYTOmzS57B1No2U7oQz3TiVqakmMQUUuIeMfnELe7dSGT1hm0ETZtByqOH2BQqTPUaH1EtYDyTnygbFRXFyj//IcotPc3nmx8Imz2BVh0+5WHCPfI7FaFuv6+5V72dWq5w128ofDuJZq0/JjU5GY8adWg14ludegGiD+xm75/nKDtohnos+cOOJO/cT+Wq1ShS1guvwQGZyom3n0abhnN8MhEnb6MY5O1h3+LdIDEn9E1iTujTuxpvwysXzJSWsQlOTmsOb9q0iRo1auDv78/GjRuxt7enU6dODBs2LMvpZsnJyaxYsYJBgwbl+TWSxPORTqnXzNraOsudqe7du4eNjY1OWkYPcQaNRvPcQ+0SExMZO3YsH3/8caZj2S2knFvOzs6sWbOGOnXq0LhxY7Zt24aVlVWOZV7FNb0qT7Yl44Msq7Ts2jdixAgGDRqkPk9ISMDFxeV1NFW8x/os2qj+bOvoTJ/Fm9TnGm0azreiuGZppbO8ftDxmzp1WBUsRLuxs3M8j7GpGa1GTKHViCk55vOoWRePmrojI03M89Hp2yXPuBIhhBBCCPG+0Wq1BAYG4uPjk2lGwJMuXbrE7t278fPzY+vWrVy4cIF+/fqRkpLC6NGjM+XfsGED9+7d05kJI94N0in1mpUqVYrffvstU/rx48fx8PB4qbqNjY0zreXi5eVFVFQUJUqUyLJM6dKluXr1KrGxseqaNIcOHcr1OTOmAmV0TG3fvv2ZHVPZKVWqFCtWrCApKQlTU1Pgv7Wynmzvpk2bdNKebm/p0qXZv3+/Ttr+/fvx8PB4pYu6mZqaqu3UIT31Ql80Gh6bWEjMCf2QeBP6JjEn9E1iTujTexJv/v7+nD59mn379uWYT6vV4uDgwMKFCzE0NKRKlSpcu3aNqVOnZtkptWTJEpo0aaIz40fkTKPRYGNjk+dHluXdiYXviC+++ILo6GgGDBjAn3/+SVRUFNOnT+enn35i8ODBL1W3m5sbu3bt4saNG9y9exdIXytp+fLljB07lr/++ouzZ8+yatUq/ve//wFQv359PDw86Nq1KydPnuT333/nm2++ea7zuri4EB4eTlxcHI0aNVLXVnpenTp1QqvV0qdPH86ePUtYWJi6O1jGG6dv376cP3+er776Kn2K0sqVmRYwHzx4MLt27WL8+PFER0ezbNky5syZw5AhQ16oXc9L0cjbSOiHojHglq2rxJzQC4k3oW8Sc0LfJOaEPr0P8RYQEMDmzZvZs2cPRYoUyTGvk5NTpkEEpUuX5saNGyQnJ+vk/fvvv9m5cye9evV6Le1+VxkaGlK6dGnZfe99V6xYMfbu3cu5c+eoX78+1atXZ/Xq1fzyyy80btz4peqeNm0aO3bswMXFhcqVKwPQqFEjNm/ezG+//UbVqlX54IMPmDFjBq6urgAYGBiwfv16Hj16RLVq1ejVq5fO+lO5VaRIEcLDw7l169YLd0xZW1vz66+/EhkZSaVKlfjmm28YNWoU8N9Uw6JFi7J27Vo2bNhAxYoVmT9/PpMmTdKpx8vLi9WrV7Nq1SrKlSvHqFGjGDdunP6Gdip5ezcD8Q5RtFg/uCkxJ/RD4k3om8Sc0DeJOaFP73C8KYpCQEAA69evZ/fu3bi7uz+zjI+PDxcuXNBZOiU6OhonJydMTEx08gYHB+Pg4ECzZs1eedvfZVqtln/++SfP776HIkQesmLFCsXY2Fh5+PDhm27KM8XHxyuAcvv27TfdFPEOCQoKUgBl4MCBOukHDhxQfH19FTMzM8XKykr56KOPnvk+mTNnjuLq6qqYmpoq1apVUw4fPqweu3z5sgJk+Vi9erWiKIpy+/ZtpXnz5oqFhYVSqVIl5fjx4zr19+vXT/nuu+9ezYWLPCclJUU5ePCgkpKS8qabIt4TEnNC3yTmhD69y/H2xRdfKDY2Nkp4eLgSGxurPp78W7Vz587K8OHD1ecxMTGKlZWVEhAQoERFRSmbN29WHBwclAkTJujUnZaWphQtWlQZNmyY3q7nXfGmYy7j+3J8fHyO+WSklHijli9fzr59+7h8+TIbNmxg2LBhdOjQAXNz8zfdNCH07siRIyxYsEBnp0iAgwcP0rhxYxo0aMCSJUs4ePAgAQEBOW7t+vPPPzNo0CBGjx7N8ePHqVixIo0aNVJ3v3RxcSE2NlbnMXbsWCwtLWnSpAkAEydO5P79+xw/fhxfX1969+6t1n/o0CEOHz5MYGDgq78RQgghhBDirTFv3jzi4+Px9fXFyclJffz8889qnpiYGGJjY9XnLi4uhIWFceTIESpUqMCAAQMYOHAgw4cP16l7586dxMTE0KNHD71dj9AvWehcvFE3btxg1KhR3LhxAycnJ9q3b/9C0wmFeNslJibi5+fHokWLmDBhgs6xL7/8kgEDBjB06FCOHj1KqVKlKFu2bI71TZ8+nd69e9O9e3cA5s+fz5YtW1i6dCnDhw/H0NAQR0dHnTLr16+nQ4cOWFpaAnD27Fk6duyIh4cHffr0YeHChQCkpKTQt29fFi9enOfnqAshhBBCiNdLUZRn5gkPD8+UVqNGjWduutWwYcNc1S/eXtIp9Y7QaDSsX7+e1q1b58n6sjN06FCGDh36Ws8BEBISQmBgIPfu3XvldRusc4B8ac/OKMTTOv33C9bf359mzZpRv359nU6puLg4Dh8+jJ+fH7Vq1SI6OpqyZcsyceJEPvzwwyyrTU5O5tixY4wYMUJNMzAwoH79+hw8eDDLMseOHSMyMpIffvhBTatYsSK7d++mV69ehIWFqSO4pkyZgq+vL97e3i91+SJvMzAwwN7ePscReUK8ShJzQt8k5oQ+SbwJfXtbYi5vt07o6NatW7adRLGxseqUG30IDw9Ho9G8lk6enISEhGBra/vc5T755JP/Y+++46qu/geOvy6gIENQhiAOREVx4V5kohi4xUxDKaWcCSappfbN3GHuHJkDcRKOXFGhJkLhFsVRiIoiZRqOAEGFK9zfH/745I0hrgvo+/l43Ed+zuec8zmfT+8L3HPP4Pz588+/QYAe0iElnk1oaCgnTpwgMDAwz7lLly4BMGXKFIYOHcrevXtp2rQp7u7uXLhwId/6bt68SXZ2NpUqVdJKr1SpEtevX8+3TFBQEM7OzrRt21ZJmzBhAgYGBtSsWZPt27cTFBTEhQsXWLt2LZMmTWLEiBE4OjrSr18/UlNTn/b2RQmlp6dHzZo1S/wfMuLlITEndE1iTuiSxJvQtdIScyW7daLIbG1tMTQ0LO5mlFjlypXDxsbmhdSdg0xfEk/vjz/+YPTo0WzcuFHZdfJRubtlDB8+nEGDBlG+fHnmzZtHnTp1WL169XNpw7179wgJCWHw4MFa6ebm5oSEhHDlyhWioqKoV68ew4cPZ86cOWzcuJFLly4RHx+PsbEx06ZNey5tESVHTk4OCQkJJX/HFvHSkJgTuiYxJ3RJ4k3oWmmJOemUekmoVCp27NihHP/xxx/069cPCwsLKlasSK9evUhMTNQqs3r1aurXr4+hoSF2dnb4+/trnb958ya9e/fG2NiY2rVrs2vXLgASExPp0KEDABUqVEClUuHr6ws8DPzAwEBq1KhBuXLlcHFxYevWrUqduSOs9u3bR/PmzTE2NqZt27bEx8creU6dOkWHDh0wMzOjfPnyNGvWjOPHjxMZGcl7771HamoqKpUKlUrFlClTAMjMzGTcuHHY29tjYmJCq1attOYt/3eE1ZQpU2jcuDHr16/HwcEBc3NzvL29uXPnzhM/+xx5G4lnEBMTQ3JyMk2bNsXAwAADAwOioqJYtGgRBgYGyminevXqkZOTw40bN8jJycHZ2ZmkpKR867SyskJfX5+///5bK/3vv//Os44UwNatW7l79y4DBw4stK3BwcFYWFjQq1cvIiMj8fLyokyZMvTt2zffdQJE6fZovAmhCxJzQtck5oQuvUrxFhgYSIsWLTAzM8PGxgYvLy+tz3sFSUlJwc/PDzs7OwwNDXFycuLHH39UzmdnZzNp0iTls2bNmjWZPn26rDlVgNISc/Jp+iWkVqvx9PTEzMyMX3/9lQMHDmBqakrnzp3JysoCHu6Q4Ofnx7Bhwzhz5gy7du2iVq1aWvVMnTqVfv36cfr0abp27YqPjw+3b9+matWqfPfddwDEx8dz7do1vvrqK+DhD6B169bxzTff8Ntvv/HRRx/xzjvvEBUVpVX3//73P+bNm8fx48cxMDDQ2k3Bx8eHKlWqcOzYMWJiYpgwYQJlypShbdu2LFy4kPLlyyu7hY0bNw4Af39/Dh06RGhoKKdPn6Zv37507ty5wOlNAAkJCezYsYOwsDDCwsKIiopi1qxZz/4/QIgn4O7uzpkzZ4iNjVVezZs3x8fHh9jYWBwdHalcuXKeX+Tnz5+nevXq+dZZtmxZmjVrxr59+5S0nJwc9u3bR5s2bfLkDwoKomfPnlhbWxfYzhs3bjBt2jQWL14MPPyjQK1WAw9/5mRnyzRWIYQQQggBUVFR+Pn5cfjwYfbu3YtarcbDw4OMjIwCy2RlZfHGG2+QmJjI1q1biY+PZ+XKldjb2yt5vvzyS5YtW8aSJUuIi4vjyy+/ZPbs2crfp6J0koXOX0KbNm0iJyeHVatWoVKpgH9HOERGRuLh4cGMGTMYO3Yso0ePVsq1aNFCqx5fX1/69+8PwBdffMGiRYs4evQonTt3pmLFigDY2NgoI5AyMzP54osv+Pnnn5UPvo6OjkRHR7N8+XLat2+v1D1z5kzleMKECXTr1o379+9jZGREUlISH3/8MXXr1gWgdu3aSjlzc3NUKpXWaI+kpCSCg4NJSkqicuXKAIwbN47w8HCCg4P54osv8n1OOTk5rFmzBjMzMwDeffdd9u3bV+Duf5mZmWRmZirHaWlp+eYT4kmYmZnRoEEDrTQTExMsLS2V9I8//pjJkyfToEED9PT0+P777zl37pzWKER3d3d69+6tjHgcM2YMgwYNonnz5rRs2ZKFCxeSkZGh7MaX6+LFi/zyyy9a30LlJyAggLFjxyp/GLi6urJ+/Xo8PDxYsWIFrq6uz/wshBBCCCFE6RceHq51vGbNGmxsbIiJieH111/Pt8zq1au5ffs2Bw8epEyZMgA4ODho5Tl48CC9evWiW7duyvlvv/2Wo0ePPv+bEDojnVIvoVOnTnHx4kWlsyXX/fv3SUhIIDk5mb/++gt3d/dC68ndaQsefkguX748ycnJBea/ePEid+/e5Y033tBKz8rKokmTJgXWbWdnBzzcZaxatWqMGTOGIUOGsH79ejp16kTfvn2pWbNmgdc9c+YM2dnZODk5aaVnZmZiaWlZYDkHBwetZ2RnZ1fo/QUGBjJ16tQ86Yuc4jAyMy+wnBAFOnkz3+SkdDXq5HvMyj3f/h3aDLrF8NFjuJf6D7ZO9Rm0dAtb0syVOk7EXUBVK4n03DJO7niMnkLAhM+4cysZuzoN6P9VKMF/6cNf/1539+IllK9UmRPWTYktoD3nD0bwy+lz1B+zQGlT1mveZP18gCYtWlKlflOajvX/t73i5aDJofwDcyJP3waVDKwWOiAxJ3RNYk7o0isSbxOaWOVJy90QJ3dgQ3527dpFmzZt8PPzY+fOnVhbWzNgwADGjx+Pvv7DNXzbtm3LihUrOH/+PE5OTpw6dYro6Gjmz5//Ym6mlNPT06NKlSolfqFz6ZR6CaWnp9OsWTM2btyY59yTbAmZ20OdS6VSFTofNT09HYAffvhBa5glkGcR9kfrzh3NlVv3lClTGDBgAD/88AM//fQTkydPJjQ0lN69exd4XX19fWJiYpQfWLlMTU2f2/1NnDiRMWPGKMdpaWlUrVr1pf6lIorHsJU786S5vTcat/dG55P7ofE/nMiT1tZ7CG29hxR6Lc9Rn+E56rNC8zi17YhT245aaWXLGTPgy6BCy4lSTqVHmknBUzqFeO4k5oSuScwJXXpF4y0nJ4eAgABcXV3zzA541KVLl4iIiMDHx4cff/yRixcvMnLkSNRqNZMnTwYezrBJS0ujbt266Ovrk52dzcyZM/Hx8dHV7ZQquZ1SJZ10Sr2EmjZtyqZNm7CxsaF8+fL55nFwcGDfvn3KguVPqmzZsgBa68jUq1cPQ0NDkpKStKbqPQ0nJyecnJz46KOP6N+/P8HBwfTu3ZuyZcvmWbumSZMmZGdnk5ycTLt27Z7puoUxNDTMd4dDlaZkLxwnXh4qTQ6WqX9wy7wqGukMFS+YxJvQNYk5oWsSc0KXXtV48/Pz4+zZs0RHRxeaLycnBxsbG1asWIG+vj7NmjXj6tWrzJkzR+mU2rx5Mxs3biQkJIT69esTGxtLQEAAlStXZtCgQbq4nVIlOztbGVX238EbJYl0SpUyqampxMbGaqX9d4qaj48Pc+bMoVevXkybNo0qVapw5coVtm3bxieffEKVKlWYMmUKI0aMwMbGhi5dunDnzh0OHDjAqFGjitSO6tWro1KpCAsLo2vXrpQrVw4zMzPGjRvHRx99RE5ODq+99hqpqakcOHCA8uXLF+kHxb179/j444956623qFGjBn/++SfHjh2jT58+wMPOtPT0dPbt24eLiwvGxsY4OTnh4+PDwIEDmTdvHk2aNOHGjRvs27ePRo0aKXOOXxjZ7UHoikaDUVbGw5hTFXdjxEtP4k3omsSc0DWJOaFLr2C8+fv7ExYWxi+//PLYETt2dnaUKVNGq/PE2dmZ69evk5WVRdmyZfn444+ZMGEC3t7eADRs2JArV64QGBgonVL50Gg0pKamlvjdCV+dLtqXRGRkJE2aNNF6/XedI2NjY3755ReqVavGm2++ibOzM4MHD+b+/fvKyKlBgwaxcOFCvv76a+rXr0/37t0L3anuv+zt7Zk6dSoTJkygUqVKyuLK06dPZ9KkSQQGBuLs7Eznzp354YcfqFGjRpHq1dfX59atWwwcOBAnJyf69etHly5dlHts27YtI0aM4O2338ba2prZs2cDDxdyHzhwIGPHjqVOnTp4eXlx7NgxqlWrVuR7EkIIIYQQQgjxbDQaDf7+/mzfvp2IiIgifRZ0dXXl4sWLWsupnD9/Hjs7O2WWzt27d/MsRaOvr1/oEiyiFNAIIZ5KamqqBtDcunWruJsiXkKBgYEaQDN69GglTa1Wa1asWKFxc3PTGBsba8zMzDTt2rXT3L17t8B6qlevrgHyvEaOHKnkuXfvnmbkyJGaihUrakxMTDRvvvmm5vr168r5W7duabp3764xMTHRNG7cWHPixAmta4wcOVIzd+7c53fzokRQq9WaQ4cOadRqdXE3RbwiJOaErknMCV16leLtgw8+0Jibm2siIyM1165dU16P/s367rvvaiZMmKAcJyUlaczMzDT+/v6a+Ph4TVhYmMbGxkYzY8YMJc+gQYM09vb2mrCwMM3ly5c127Zt01hZWWk++eQTnd5faVHcMZf7eTk1NbXQfDJSSohnVNJ3MxClz7Fjx1i+fLnWLpUAR44cYezYsXh4eHD06FGOHTuGv79/oTF47Ngxrl27prz27t0LQN++fZU8H330Ed9//z1btmwhKiqKv/76izfffFM5P3PmTO7cucOJEydwc3Nj6NChyrnDhw9z5MgRAgICntPdi5JCT08PR0dH+RkndEZiTuiaxJzQpVcp3pYtW0Zqaipubm7Y2dkpr02bNil5kpKSuHbtmnJctWpVdu/ezbFjx2jUqBEffvgho0ePZsKECUqexYsX89ZbbzFy5EicnZ0ZN24cw4cPZ/r06Tq9v9KitMScSqMp4RMMhSih0tLSMDc3JzU1tcAF5YV4Uunp6TRt2pSvv/6aGTNm0LhxYxYuXAhA69ateeONN57pF29AQABhYWFcuHABlUpFamoq1tbWhISE8NZbbwFw7tw5nJ2dOXToEK1bt6Zr16707NmTESNGEBcXR/PmzcnIyECtVtOiRQtWrVpF8+bNn8ftCyGEEEIIIV4CRf28LAudixdCpVKxfft2vLy8dHZNNzc3rQ/w/+Xr60tKSgo7dux4rtfN3mwJxg+ea53iFTPg3+8G/Pz86NatG506dWLGjBlKenJyMkeOHMHNzY02bdpw6dIl6taty8yZM3nttdeKdJmsrCw2bNjAmDFjUKkerrAZExODWq2mU6dOSr66detSrVo1pVPKxcWFiIgIhgwZwu7du5URXLNnz8bNzU06pF5S2dnZnD17lgYNGpToHVvEy0NiTuiaxJzQJYk3oWulJeZK9jguUWLduHGDDz74gGrVqmFoaIitrS2enp4cOHCguJtWoK+++oo1a9Y893o1r8r2GeKFCw0N5cSJEwQGBuY5d+nSJeDhcOjBgwcTHh5O06ZNcXd3L/ImBTt27CAlJQVfX18l7fr165QtWxYLCwutvJUqVeL69esATJgwAQMDA2rWrMn27dsJCgriwoULrF27lkmTJjFixAgcHR3p168fqampT3fzosTRaDTcu3evxO/YIl4eEnNC1yTmhC5JvAldKy0xJyOlxFPp06cPWVlZrF27FkdHR/7++2/27dvHrVu3irtpBTI3Ny/uJghRoD/++IPRo0ezd+9ejIyM8pzP3VXEy8sLX19fDAwMaNKkCfv27WP16tX5dmT9V1BQEF26dKFy5cpP1DZzc3NCQkK00jp27MicOXPYuHEjly5dIj4+nqFDhzJt2jTmzZv3RPULIYQQQgghXk0yUko8sZSUFH799Ve+/PJLOnToQPXq1WnZsiUTJ06kZ8+e+ZY5c+YMHTt2pFy5clhaWjJs2DDS09MB2LNnD0ZGRqSkpGiVGT16NB07dgTg1q1b9O/fH3t7e4yNjWnYsCHffvttoe384YcfMDc3Z+PGjcDD6XuPTicMDw/ntddew8LCAktLS7p3705CQsJTPhUhnk1MTAzJyck0bdoUAwMDDAwMiIqKYtGiRRgYGFCpUiWAPFvqOjs7k5SU9Nj6r1y5ws8//8yQIUO00m1tbcnKysrz/vv777+xtbXNt67g4GAsLCzo1asXkZGReHl5UaZMGfr27UtkZGTRb1oIIYQQQrx0AgMDadGiBWZmZtjY2ODl5UV8fPxjy6WkpODn54ednR2GhoY4OTnx448/Kuezs7OZNGkSNWrUoFy5ctSsWZPp06eX+JFAonDSKSWemKmpKaampuzYsYPMzMzH5s/IyMDT05MKFSpw7NgxtmzZws8//4y/vz8A7u7uWFhY8N133yllsrOz2bRpEz4+PgDcv3+fZs2a8cMPP3D27FmGDRvGu+++y9GjR/O9ZkhICP3792fjxo1KHfm1a8yYMRw/fpx9+/ahp6dH7969lREpRaWPrCclnp27uztnzpwhNjZWeTVv3hwfHx9iY2NxdHSkcuXKZGRkaM0JP3/+PNWrV39s/cHBwdjY2NCtWzet9GbNmlGmTBn27dunpMXHx5OUlESbNm3y1HPjxg2mTZvG4sWLgYfvVbVaDYBarSY7O/up7l+UPPr6+tStW7dEr0EgXi4Sc0LXJOaELr1K8RYVFYWfnx+HDx9m7969qNVqPDw8yMjIKLBMVlYWb7zxBomJiWzdupX4+HhWrlyJvb29kufLL79k2bJlLFmyhLi4OL788ktmz56t/F0qtJWWmJPpe+KJGRgYsGbNGoYOHco333xD06ZNad++Pd7e3nm2sIeHHUT3799n3bp1mJiYALBkyRJ69OjBl19+SaVKlfD29iYkJITBgwcDsG/fPlJSUujTpw8A9vb2jBs3Tqlz1KhR7N69m82bN9OyZUut6y1dupT//e9/fP/997Rv377A+8itO9fq1auxtrbm999/p0GDBnnyZ2ZmanXCpaWlAaBCeubFszMzM8sTdyYmJlhaWirpH3/8MZMnT6ZVq1Y0btyYtWvXcu7cObZu3aqUcXd3p3fv3kqnLzyc+hccHMygQYMwMND+sW9ubs7gwYMZM2YMFStWpHz58owaNYo2bdrQunXrPO0MCAhg7Nixyh8Irq6urF+/Hg8PD1asWIGrq+tzeyaieKlUqjxrjQnxIknMCV2TmBO69CrFW3h4uNbxmjVrsLGxISYmhtdffz3fMqtXr+b27dscPHiQMmXKAODg4KCV5+DBg/Tq1Uv5ktXBwYFvv/22wIEKr7rSEnPSKSWeSp8+fejWrRu//vorhw8f5qeffmL27NmsWrVKaxFlgLi4OFxcXJQOKXj4QTYnJ4f4+HgqVaqEj48PrVu35q+//qJy5cps3LiRbt26KW+i7OxsvvjiCzZv3szVq1fJysoiMzMTY2NjrWtt3bqV5ORkDhw4QIsWLQq9hwsXLvD5559z5MgRbt68qYyQSkpKyrdTKjAwkKlTp+ZJX1D7AoblLYrw1IQowMmb+SYnpatRJ99j1v+fV7Xrj+db5xjiP5q7qSnYOdVn0NItbEkzV+o4EXcBVa0k0h+p8/yh/SQlJaFu3Vup61GVB/2Pyrcy6eb1Jg+ysnBq04FeE7/Mk/f8wQh+OX2O+mMWKOeyXvMm6+cDNGnRkir1m9J0rH++1xCljyonm8q3L/BXxdpo9Er2N2zi5SAxJ3RNYk7o0qsSbxOaWOVJy90Ip2LFigWW27VrF23atMHPz4+dO3dibW3NgAEDGD9+vDLSp23btqxYsYLz58/j5OTEqVOniI6OZv78+S/mZkq5Bw8ecPLkSZo0aZLni+mSpOS2TJR4RkZGvPHGG7zxxhtMmjSJIUOGMHny5DydUkXRokULatasSWhoKB988AHbt2/X2ilvzpw5fPXVVyxcuJCGDRtiYmJCQEAAWVlZWvU0adKEEydOsHr1apo3b65se5+fHj16UL16dVauXEnlypXJycmhQYMGeerMNXHiRMaMGaMcp6WlUbVq1Se+VyGKatjKnXnSevYbQLORUwv8Y2b8DyfypDm16UDgiRsFXqeMoRG9Js6m18TZhbbHqW1HnNp21EorW86YAV8GFVpOlF6qJ5zOLMSzkpgTuiYxJ3TpVYy3nJwcAgICcHV1zfeL/1yXLl0iIiICHx8ffvzxRy5evMjIkSNRq9VMnjwZeLgjdFpamjIlLTs7m5kzZxa4XIugVCytIZ1S4rmpV68eO3bsyJPu7OzMmjVryMjIUEZLHThwAD09PerUqaPk8/HxYePGjVSpUgU9PT2ttW8OHDhAr169eOedd4CHP9zOnz9PvXr1tK5Vs2ZN5s2bh5ubG/r6+ixZsiTftt66dUuZp9yuXTsAoqOjC70/Q0NDDA0NH/8ghBBCCCGEEELg5+fH2bNnH/tZKycnBxsbG1asWIG+vj7NmjXj6tWrzJkzR+mU2rx5Mxs3biQkJIT69esTGxtLQEAAlStXZtCgQbq4HfECyELn4ondunWLjh07smHDBk6fPs3ly5fZsmULs2fPplevXnny+/j4YGRkxKBBgzh79iz79+9n1KhRvPvuu8qOYrn5Tpw4wcyZM3nrrbe0OoBq167N3r17OXjwIHFxcQwfPpy///473/Y5OTmxf/9+vvvuOwICAvLNU6FCBSwtLVmxYgUXL14kIiJCaxSUEEIIIYQQQoin5+/vT1hYGPv376dKlSqF5rWzs8PJyUlrUW5nZ2euX7+uzGT5+OOPmTBhAt7e3jRs2JB3332Xjz76iMDAwBd6H+LFkk4p8cRMTU1p1aoVCxYs4PXXX6dBgwZMmjSJoUOH5jsyydjYmN27d3P79m1atGjBW2+9hbu7e568tWrVomXLlpw+fTrPEMzPPvuMpk2b4unpiZubG7a2tnh5eRXYxjp16hAREcG3337L2LFj85zX09MjNDSUmJgYGjRowEcffcScOXOe6nloVPI2ErqhUelxvWJNiTmhExJvQtck5oSuScwJXXqV4k2j0eDv78/27duJiIigRo0ajy3j6urKxYsXtXZCP3/+PHZ2dpQtWxaAu3fvoqen/fz09fWfePf0V4W+vj6NGjUq8bvvoRFCPJXU1FQNoElJSSnupoiXWGBgoAbQjB49WpOTk6O5cOGCBsj3tXnz5gLrmTx5sqZOnToaY2NjjYWFhcbd3V1z+PBhrTy3bt3SDBgwQGNmZqYxNzfXvP/++5o7d+4o5y9fvqxp166dxtjYWNOuXTvN5cuXtcp369ZNs3Xr1ud6/6L45OTkaNRqtSYnJ6e4myJeERJzQtck5oQuvUrx9sEHH2jMzc01kZGRmmvXrimvu3fvKnneffddzYQJE5TjpKQkjZmZmcbf318THx+vCQsL09jY2GhmzJih5Bk0aJDG3t5eExYWprl8+bJm27ZtGisrK80nn3yi0/srLYo75nI/L6emphaa7+XvphXiBSsNi8eJ0unYsWMsX76cRo0aAQ9j7e+//+aPP/7g2rVrymvq1KmYmprSpUuXAutycnJiyZIlnDlzhujoaBwcHPDw8ODGjX8XQPfx8eG3335j7969hIWF8csvvzBs2DDl/NixY7G3tyc2NhY7OzvGjRunnNu0aRN6enr06dPnBTwJURyys7M5fvy4/IwTOiMxJ3RNYk7o0qsUb8uWLSM1NRU3Nzfs7OyU16ZNm5Q8SUlJXLt2TTmuWrUqu3fv5tixYzRq1IgPP/yQ0aNHM2HCBCXP4sWLeeuttxg5ciTOzs6MGzeO4cOHM336dJ3eX2lRWmJOFjoXQogSKD09HR8fH1auXMmMGTOUdH19fWxtbbW2dd2+fTv9+vXD1NS0wPoGDBigdTx//nyCgoI4ffo07u7uxMXFER4ezrFjx2jevDnw8Bd/165dmTt3LpUrVyYuLo758+dTu3ZtfH19lU6plJQUPvvsMyIiIp7nIxBCCCGEEKWQRqN5bJ7IyMg8aW3atOHw4cMFljEzM2PhwoUsXLjwGVonShrplBIvlcTERGrUqMHJkydp3Lixbi66zRaM1bq5lni5Dfj3F7ifnx/dunWjU6dOWp1S/xUTE0NsbCxLly4t8mWysrJYsWIF5ubmuLi4AHDo0CEsLCyUDimATp06oaenx5EjR+jduzcuLi78/PPPeHh4sGfPHmUE18cff4yfnx9Vq1Z90jsWQgghhBBCvMJk+p4odr6+vqhUKkaMGJHnnJ+fHyqVCl9f36eqOzIyEpVKRUpKyrM1UggdCg0N5cSJE0XaSSQoKAhnZ2fatm372LxhYWGYmppiZGTEggUL2Lt3L1ZWVgBcv34dGxsbrfwGBgZUrFiR69evAzB37lzOnTuHg4MDFy5cYO7cufzyyy/ExsYycOBA+vXrh6OjIyNGjFB2SRFCCCGEEEKIgkinlCgRqlatSmhoKPfu3VPS7t+/T0hICNWqVSvGlj2ePjJKSjw/f/zxB6NHj2bjxo0YGRlpndPX16d58+bKDhr37t0jJCSEwYMHF6nuDh06EBsby8GDB+ncuTP9+vUjOTm5yG2zt7cnLCyMpKQkwsLCsLKyYuTIkXzzzTfMmDEDMzMz4uPjuXDhAsuXLy/6TYsS6b/xJsSLJjEndE1iTuiSxJvQtdISc9IpJUqEpk2bUrVqVbZt26akbdu2jWrVqtGkSRMlLTw8nNdeew0LCwssLS3p3r07CQkJ+daZmJhIhw4dAKhQoYLWiKsnqUcIXYqJiSE5OZmmTZtiYGCAgYEBUVFRLFq0iDJlymh13G7dupW7d+8ycODAItVtYmJCrVq1aN26NUFBQRgYGBAUFASAra1tng6qBw8ecPv2bWxtbfOt74svvsDDw4NmzZoRGRlJnz59KFOmDG+++Wa+6wSI0kdGvAldk5gTuiYxJ3TpVY23wMBAWrRogZmZGTY2Nnh5eREfH//YcikpKfj5+WFnZ4ehoSFOTk78+OOPyvk7d+4QEBBA9erVKVeuHG3btuXYsWMv8lZKndIQc9IpJUqM999/n+DgYOV49erVvPfee1p5MjIyGDNmDMePH2ffvn3o6enRu3dvcnJy8tRXtWpVvvvuOwDi4+O5du0aX3311RPX8zjZlHniMkIUxN3dnTNnzhAbG6u8mjdvjo+PD8ePH+e3335TdtAICgqiZ8+eWFtbP9W1cnJyyMzMBB4uLJmSkkJMTIxyPiIigpycHFq1apWnbFxcHCEhIcpuJ9nZ2ajVD0cNqtXqEr/Lh3i87OxsTp8+Lf8vhc5IzAldk5gTuvQqx1tUVBR+fn4cPnyYvXv3olar8fDwICMjo8AyWVlZvPHGGyQmJrJ161bi4+NZuXIl9vb2Sp4hQ4awd+9e1q9fz5kzZ/Dw8KBTp05cvXpVF7dV4pWWmJOFzkWJ8c477zBx4kSuXLkCwIEDBwgNDdUacfHf7eZXr16NtbU1v//+Ow0aNNA6p6+vT8WKFQGwsbHBwsLiqerJlZmZqXyAB0hLS3viexTicczMzPLEoImJCZaWljRo0IDjx48DcPHiRX755Retb4seVbduXQIDA+nduzcZGRnMnDmTnj17Ymdnx82bN1m6dClXr16lb9++ADg7O9O5c2eGDh3KN998g1qtxt/fH29vbypXrqxVt0ajYdiwYSxYsAATExMAXF1dWblyJU5OTqxbt47+/fs/70cjhBBCCCFKofDwcK3jNWvWYGNjQ0xMDK+//nq+ZVavXs3t27c5ePAgZco8HATg4OCgnL937x7fffcdO3fuVOqYMmUK33//PcuWLSt0oyBRskinlCgxrK2t6datG2vWrEGj0dCtWzdlEeZcFy5c4PPPP+fIkSPcvHlTGdmUlJRUYGdSfp6mnsDAQKZOnZonfXHt3zEsb1HkawtRoJM3801OSlejTr7HvFO3sE/NIurULcKXLqF8pcqcsG5KbD7l4uPjCTn9J/EON1Fn3mfX4dMsXRVMRsptjM0rUKV+Ewav+p7vsyrx/f+XbzF+Ebu+nEC7Dh1R6enRoGN36vh9waz/1H9k61pSDC04a9+as/9/rmKfUez5dARNWrTEqW1H7rm+naecKF1UOdlKvGn0SvZaBOLlIDEndE1iTujSqxpvE5pY5UlLTU0FUAYQ5GfXrl20adMGPz8/du7cibW1NQMGDGD8+PHo6+vz4MEDsrOz86zBWq5cOaKjo5/vTYgXSjqlRIny/vvv4+/vD5DvFvc9evSgevXqrFy5ksqVK5OTk0ODBg2eeK7s09QzceJExowZoxynpaVRtWrVJ7quEE9j2MqdD/+Rk41G7+Gsa89Rn+E56rMCywSeuKH8u4yhEe/MW/PY6xibV8D7i8cvUN7qrUG0emuQVpppRWuGfPPdY8uK0iU33oTQFYk5oWsSc0KXJN4eLh8REBCAq6troYMKLl26REREBD4+Pvz4449cvHiRkSNHolarmTx5MmZmZrRp04bp06fj7OxMpUqV+Pbbbzl06BC1atXS4R2VbCV9kXOQTilRwnTu3JmsrCxUKhWenp5a527duqXMJW7Xrh3AY3vBy5YtC6A1j/Zp6gEwNDTE0NAwT/qr9E2HKF4aPX2uWtUt7maIV4TEm9A1iTmhaxJzQpck3h7y8/Pj7Nmzj/38lZOTg42NDStWrEBfX59mzZpx9epV5syZw+TJkwFYv34977//Pvb29ujr69O0aVP69++vtUbqq8zAwIAWLVoUdzMeSzqlRImir69PXFyc8u9HVahQAUtLS1asWIGdnR1JSUlMmDCh0PqqV6+OSqUiLCyMrl27Uq5cuaeqp1AazdOXFeJJaDQYqTO4X8YEVKribo142Um8CV2TmBO6JjEndEniDX9/f8LCwvjll1+oUqVKoXnt7OwoU6aM1mdCZ2dnrl+/TlZWFmXLlqVmzZpERUWRkZFBWloadnZ2vP322zg6Or7oWykVNBoNqampmJuboyrBMSfjB0WJU758ecqXL58nXU9Pj9DQUGJiYmjQoAEfffQRc+bMKbQue3t7pk6dyoQJE6hUqRL+/v5PVU9hVJon37FPiKeh0uRglZIkMSd0QuJN6JrEnNA1iTmhS69yvGk0Gvz9/dm+fTsRERHUqFHjsWVcXV25ePGi1u7o58+fx87OTpkNk8vExAQ7Ozv++ecfdu/eTa9evZ77PZRG2dnZnDt3rsTvvodGCPFUUlNTNYDm1q1bxd0U8RILDAzUAJrRo0dr1Gq1Ztu2bRog39fmzZsLrGfy5MmaOnXqaIyNjTUWFhYad3d3zeHDh5Xz+/fvL7Deo0ePajQajeby5cuadu3aaYyNjTXt2rXTXL58Wesa3bp102zduvWFPAehe2q1WnPo0CGNWq0u7qaIV4TEnNA1iTmhS69yvH3wwQcac3NzTWRkpObatWvK6+7du0qed999VzNhwgTlOCkpSWNmZqbx9/fXxMfHa8LCwjQ2NjaaGTNmKHnCw8M1P/30k+bSpUuaPXv2aFxcXDStWrXSZGVl6fT+Sqrijrncz8upqamF5pORUkIIUUIdO3aM5cuX06hRIyXNxsaGP/74g2vXrimvqVOnYmpqSpcuXQqsy8nJiSVLlnDmzBmio6NxcHDAw8ODGzceLojetm1brTqvXbvGkCFDqFGjBs2bNwdg7Nix2NvbExsbi52dHePGjVPq37RpE3p6evTp0+cFPQ0hhBBCCFEaLVu2jNTUVNzc3LCzs1NemzZtUvIkJSVx7do15bhq1ars3r2bY8eO0ahRIz788ENGjx6ttexKamoqfn5+1K1bl4EDB/Laa6+xe/duypQpo9P7E89G1pQS4hmV5Pm5ovRKT0/Hx8eHlStXMmPGDOBhrJmammJnZ6c1v3779u3069cPU1PTAusbMGCA1vH8+fMJCgri9OnTuLu7U7ZsWWxtbZXzarWanTt3MmrUKCXG4+LimD9/PrVr18bX11fplEpJSeGzzz4jIiLiud2/KH4qlYpy5crJzzihMxJzQtck5oQuvcrxpinCGryRkZF50tq0acPhw4cLLNOvXz/69ev3LE17qZWWmJNOKfFScHNzo3HjxixcuLDAPA4ODgQEBBAQEPBcr63/XUUwfq5VilfZgIe/tP38/OjWrRudOnVSOqX09fVxcXHRyh4TE0NsbCxLly4t8iWysrJYsWIF5ubmeerLtWvXLm7dusV7772npLm4uPDzzz/j4eHBnj17lBFcH3/8MX5+flStWvWJblWUbPnFmxAvksSc0DWJOaFLEm9C10pLzMn0PaFTN27c4IMPPqBatWoYGhpia2uLp6cnBw4ceOHXPnbsGMOGDXvu9eZQsnueRekTGhrKiRMnCAwM1ErPyckhOTlZa8HHoKAgnJ2dadu27WPrDQsLw9TUFCMjIxYsWMDevXuxsrLKN29QUBCenp5aO6PMnTuXc+fO4eDgwIULF5g7dy6//PILsbGxDBw4kH79+uHo6MiIESPIysp6yrsXJUV+8SbEiyQxJ3RNYk7oksSb0LXSEnPSKSV0qk+fPpw8eZK1a9dy/vx5du3ahZubG7du3Xqq+p7kg6+1tTXGxs9/SFOODDgUz9Eff/zB6NGj2bhxI0ZGRlrncnJyuHTpkvKL5d69e4SEhDB48OAi1d2hQwdiY2M5ePAgnTt3pl+/fiQnJ+fJ9+eff7J79+489drb2xMWFkZSUhJhYWFYWVkxcuRIvvnmG2bMmIGZmRnx8fFcuHCB5cuXP+UTECXFf+NNiBdNYk7omsSc0CWJN6FrpSXmpFNK6ExKSgq//vorX375JR06dKB69eq0bNmSiRMn0rNnTyXPkCFDsLa2pnz58nTs2JFTp04pdUyZMoXGjRuzatUqatSoofWh/cGDB/j7+2Nubo6VlRWTJk3Smr/s4OCgNb1v/vz5NGzYEBMTE6pWrcrIkSNJT09/8Q9CiELExMSQnJxM06ZNMTAwwMDAgKioKBYtWoSRkZHWlq5bt27l7t27DBw4sEh1m5iYUKtWLVq3bk1QUBAGBgYEBQXlyRccHIylpaXyvizIF198gYeHB82aNSMyMpI+ffpQpkwZ3nzzzXzXBRBCCCGEEK+uwMBAWrRogZmZGTY2Nnh5eREfH19oGTc3N1QqVZ5Xt27dlDwajYbPP/8cOzs7ypUrR6dOnbhw4cKLvh3xnEinlNAZU1NTTE1N2bFjB5mZmfnm6du3L8nJyfz000/ExMTQtGlT3N3duX37tpLn4sWLfPfdd2zbto3Y2Fglfe3atRgYGHD06FG++uor5s+fz6pVqwpsj56eHosWLeK3335j7dq1RERE8Mknnzy3+xXiabi7u3PmzBliY2OVV/PmzfHx8eH48eNaC5wHBQXRs2dPrK2tn+paOTk5ed6LGo2G4OBgBg4cWOjOJXFxcYSEhDB9+nQAsrOzUavVwMNF0h/tPBNCCCGEECIqKgo/Pz8OHz7M3r17UavVeHh4kJGRUWCZbdu2ae0OffbsWfT19enbt6+SZ/bs2SxatIhvvvmGI0eOYGJigqenJ/fv39fFbYlnJPOOhM4YGBiwZs0ahg4dyjfffEPTpk1p37493t7eNGrUiOjoaI4ePUpycjKGhobAwzVsduzYwdatW5X1oLKysli3bl2eD+JVq1ZlwYIFqFQq6tSpw5kzZ1iwYAFDhw7Ntz2PLnju4ODAjBkzGDFiBF9//XW++TMzM7U+wKelpQGg4vG7SQhRVGZmZjRo0EArzcTEBEtLSxo2bMj58+dRqVRcvHiRX375hR9//DHfeurWrUtgYCC9e/cmIyODmTNn0rNnT+zs7Lh58yZLly7l6tWrWr/QASIiIrh8+TJDhgwpsI0ajYZhw4axYMECTExMAHB1dWXlypU4OTmxbt06+vfv/4xPQhQ3lUqFubl5id+xRbw8JOaErknMCV2SeIPw8HCt4zVr1mBjY0NMTAyvv/56vmUqVqyodRwaGoqxsbHyN6xGo2HhwoV89tln9OrVC4B169ZRqVIlduzYgbe39wu4k9KhtMScdEoJnerTpw/dunXj119/5fDhw/z000/Mnj2bVatWkZGRQXp6OpaWllpl7t27R0JCgnJcvXr1fEeGtG7dWusN16ZNG+bNm0d2drbW6JJcP//8M4GBgZw7d460tDQePHjA/fv3uXv3br5rTwUGBjJ16tQ86V/VOY+RqdkTPQchCnTyZp6kpHQ16uR7zDn9D2ANp/9h9+IllK9UmRPWTYnNp0x8fDwhp/8k3uEm6sz77Dp8mqWrgslIuY2xeQWq1G/C4FXf831WJb5/pHzo3K+p7tKCHfes8m0LwJGta0kxtOCsfWvO/n+ein1GsefTETRp0RKnth255/o2swooL0qTh/EmhO5IzAldk5gTuvTqxtuEJnk310lNTQXydjwVJigoCG9vb+WL0cuXL3P9+nU6deqk5DE3N6dVq1YcOnTole6U0tfXx9nZubib8VgqzaOL7ghRDIYMGcLevXsZOXIkixcvznctGgsLC6ysrJgyZQo7duzQmrYHD+caOzo6snr1aiVt586dvPXWW9y/fx99fX0cHBwICAggICCAxMRE6tatywcffMDbb79NxYoViY6OZvDgwfzzzz9YWFjkaUN+I6WqVq3K5KiLGJmZP6/HIUTBNDmUv3uLNGNLUMnsa/GCSbwJXZOYE7omMSd06RWPt/92SuXk5NCzZ09SUlKIjo4uUh1Hjx6lVatWHDlyhJYtWwJw8OBBXF1d+euvv7Czs1Py9uvXD5VKxaZNm57fTZQyOTk5/PXXX1SuXBk9Pd3HXFpaGubm5qSmplK+fPkC88lIKVHs6tWrx44dO2jatCnXr1/HwMAABweHJ67nyJEjWseHDx+mdu3a+Y6SiomJIScnh3nz5ilv0M2bNxdav6GhoTKt8FEq6dcVOqLSaCifcYM75SqiKdmjcMVLQOJN6JrEnNA1iTmhSxJv2vz8/Dh79myRO6Tg4Siphg0bKh1SonA5OTn8+eef2NraFkunVFGV3JaJl86tW7fo2LEjGzZs4PTp01y+fJktW7Ywe/ZsevXqRadOnWjTpg1eXl7s2bOHxMREDh48yP/+9z+OHz/+2PqTkpIYM2YM8fHxfPvttyxevJjRo0fnm7dWrVqo1WoWL17MpUuXWL9+Pd98883zvmUhhBBCCCGEEI/w9/cnLCyM/fv3U6VKlSKVycjIIDQ0lMGDB2ul29raAvD3339rpf/999/KOVGyyUgpoTOmpqa0atWKBQsWkJCQgFqtpmrVqgwdOpRPP/0UlUrFjz/+yP/+9z/ee+89bty4ga2tLa+//jqVKlV6bP0DBw7k3r17tGzZEn19fUaPHq0sjv5fLi4uzJ8/ny+//JKJEyfy+uuvExgYyMCBA5/3bQshhBBCCCHEK0+j0TBq1Ci2b99OZGQkNWrUKHLZLVu2kJmZyTvvvKOVXqNGDWxtbdm3bx+NGzcGHk4bO3LkCB988MHzbL54QWRNKSGeUu4c2YLWoBLieZk1axYTJ07kww8/5MMPP0SlUlGzZs18827evDnPjnq5fH19Wbt2rVaap6enshNKZGQkHTp0yLfs0aNHadGiBYmJiQwcOJCYmBiaNWvGunXrtKbbdu/enffee48+ffo8xZ2KkiQnJ4fLly9To0aNEj3kW7w8JOaErknMCV2SeIORI0cSEhLCzp07qVOnjpJubm5OuXLlgIcDDezt7QkMDNQq265dO+zt7QkNDc1T75dffsmsWbNYu3YtNWrUYNKkSZw+fZrff/8dIyOjF3tTJVhxx1xR15R6Nd8NQjxHr+ovFaEbx44dY/ny5TRq1EjpjKpevTrXrl3Tek2dOhVTU1O6dOlSaH2dO3fWKvftt98q59q2bZun3iFDhlCjRg2aN28OwNixY7G3tyc2NhY7OzvGjRunlN+0aRN6enrSIfWS0NPTo2bNmvIzTuiMxJzQNYk5oUsSb7Bs2TJSU1Nxc3PDzs5OeT26GHlSUhLXrl3TKhcfH69sSpWfTz75hFGjRjFs2DBatGhBeno64eHhr3SHFJSemJPpe0I8o5ycnOJugnhJpaen4+Pjw8qVK5kxYwYajYaEhARlmPKjtm/fTr9+/TA1NS20TkNDwwLn15ctW1brnFqtZufOnYwaNQqV6uGKnHFxccyfP5/atWvj6+urdEqlpKTw2WefERER8Sy3LEqQ4v52Tbx6JOaErknMCV2SeHs4fe9x8tuJvU6dOoWWValUTJs2jWnTpj1L8146pSXmpFNK6JSbmxuNGzdm4cKFRcqfmJhIjRo1OHnypDJH+EVxcHAgICCAgICAJyqXs9UGjNUvplHi1TPg31+4fn5+dOvWjU6dOimdUjdu3KB69epav1hiYmKIjY1l6dKlj60+MjISGxsbKlSoQMeOHZkxYwaWlpb55t21axe3bt3ivffeU9JcXFz4+eef8fDwYM+ePTRq1AiAjz/+GD8/P6pWrfq0dy5KmJycnHzjTYgXRWJO6JrEnNAliTeha6Ul5kpuy0Sp5uvri0qlyvOaPXs206dPL+7mCVHihYaGcuLEiTzz6fMTFBSEs7Mzbdu2LTRf586dWbduHfv27ePLL78kKiqKLl26kJ2dXWC9np6eWruizJ07l3PnzuHg4MCFCxeYO3cuv/zyC7GxsQwcOJB+/frh6OjIiBEjyMrKerKbFkIIIYQQQrxSZKSUeGE6d+5McHCwVpq1tTX6+vrF1CIhSoc//viD0aNHs3fv3sfOhb937x4hISFMmjTpsfV6e3sr/27YsCGNGjWiZs2aREZG4u7urpX3zz//ZPfu3WzevFkr3d7enrCwMOU4MzMTT09P1q5dy4wZMzAzMyM+Pp7OnTuzfPlyRo0aVZRbFkIIIYQQQryCZKSUeGFy16559OXu7q41Pc7BwYEvvviC999/HzMzM6pVq8aKFSsKrDM7O5vBgwdTo0YNypUrR506dfjqq6+08vj6+uLl5cXcuXOxs7PD0tISPz8/1Op/p9glJyfTo0cPypUrR40aNdi4ceNT36ce+Y8yEeJpxcTEkJycTNOmTTEwMMDAwICoqCiWLFnCa6+9pjWnfuvWrdy9e5eBAwc+8XUcHR2xsrLi4sWLec4FBwdjaWlJz549C63jiy++wMPDg2bNmhEZGUmfPn0oU6YMb775Zr5rAojSQ09PjypVqpTo4d7i5SIxJ3RNYk7oksTbvwIDA2nRogVmZmbY2Njg5eVFfHx8oWXc3NzynYnTrVs3Jc+2bdvw8PDA0tISlUpFbGzsC76Tkq20xJyMlBLFbt68eUyfPp1PP/2UrVu38sEHH9C+fXutbUJz5eTkUKVKFbZs2YKlpSUHDx5k2LBh2NnZ0a9fPyXf/v37sbOzY//+/Vy8eJG3336bxo0bM3ToUOBhx9Vff/3F/v37KVOmDB9++CHJyclP1X49ZKFz8Xy5u7tz5swZrbT33nuPunXrMn78eMqUKaOkBwUF0bNnT6ytrZ/4On/++Se3bt3Czs5OK12j0RAcHMzAgQO1rvVfcXFxhISEKL/ws7Ozlc5ftVpd4LRAUTrk/iEjhK5IzAldk5gTuiTx9q+oqCj8/Pxo0aIFDx484NNPP8XDw4Pff/8dExOTfMts27ZNa2mIW7du4eLiQt++fZW0jIwMXnvtNfr166d87nuVlZaYk04p8cKEhYVp7QRW0Fb1Xbt2ZeTIkQCMHz+eBQsWsH///nw7pcqUKcPUqVOV4xo1anDo0CE2b96s1SlVoUIFlixZgr6+PnXr1qVbt27s27ePoUOHcv78eX766SeOHj1KixYtgH/X5ClMZmYmmZmZynFaWhoA2RgADx7zNIQoOjMzMxo0aKCVZmJiQsWKFdHX1yc7Oxt9fX0uXrzIL7/8wo8//phvPXXr1iUwMJDevXuTnp7O1KlT6dOnD7a2tiQkJPDJJ59Qq1YtPD09tcpFRERw+fJlhgwZUmAbNRoNw4YNY8GCBcofD66urqxcuRInJyfWrVtH//79n/FJiOKUnZ3N+fPncXJykmnXQick5oSuScwJXZJ4+1d4eLjW8Zo1a7CxsSEmJobXX3893zIVK1bUOg4NDcXY2FirU+rdd98FHm6WJUpPzEmnlHhhOnTowLJly5RjExOTfD+k5u7eBQ+387S1tS101NLSpUtZvXo1SUlJ3Lt3j6ysrDw789WvX1/rjWdnZ6eMPImLi8PAwIBmzZop5+vWrYuFhUWh9xMYGKjVIZZrUe04DMsXXlaIIjt5M9/kpHQ1D27cIybpBrvuVkSjp8/uxUsoX6kyJ6ybEptPufj4eEJO/0m8w03U9++xM/o4y4LWcP9OKmbWttRu7UbfkRNY8Psd4I5SLnTu11R3acGOe1YFtufI1rWkGFpw1r41Z/8/T8U+o9jz6QiatGiJU9uO3HN9m1kFlBclnyonG/ub/8abEC+axJzQNYk5oUsSbw9NaGKVJy01NRXI2/FUmKCgILy9vQscWSUefomcmpqqtfRHSSSdUuKFMTExoVatWo/N99/pQSqVipyc/KfEhYaGMm7cOObNm0ebNm0wMzNjzpw5HDly5KnrLKqJEycyZswY5TgtLY2qVas+U51CFNWwlTtR5WTDzX/n23uO+gzPUZ8VWCbwxA3l32WMyvH+11uKdC3vL5Y/Nk+rtwbR6q1BWmmmFa0Z8s13RbqGEEIIIYQQOTk5BAQE4OrqmmemQEGOHj3K2bNnCQoKesGtE7ognVKiVDlw4ABt27ZVpvsBJCQkPFEddevW5cGDB8TExCjT9+Lj40lJSSm0nKGhIYaGhk/cZiGEEEIIIYQQefn5+XH27Fmio6OLXCYoKIiGDRvSsmXLF9gyoSslexl2If6jdu3aHD9+nN27d3P+/HkmTZrEsWPHnqiOOnXq0LlzZ4YPH86RI0eIiYlhyJAhlCtX7qnapFHJ20johkalxz9mdhJzQick3oSuScwJXZOYE7ok8ZaXv78/YWFh7N+/v8gLcmdkZBAaGsrgwYNfcOtKPz09PRwdHUv87nslu3VC/Mfw4cN58803efvtt2nVqhW3bt3SGjVVVMHBwVSuXJn27dvz5ptvMmzYMGxsbJ6uUSrV05UT4kmpVGSUqyAxJ3RD4k3omsSc0DWJOaFLEm8KjUaDv78/27dvJyIigho1ahS57JYtW8jMzOSdd955gS18Oejp6WFjY1PiO6VUmpK+6pUQJVRaWhrm5ubcvn2bChUqFHdzxCsgOzubs2fP0qBBA+bMmcPEiRMZPXo0CxcuBB5OZR03bhzR0dFkZmbSuXNnFi9eTKVKlQqtd+nSpcyZM4fr16/j4uLC4sWLtYZDu7m5ERUVpVVm+PDhfPPNNwDcvn2bQYMGsX//fmrXrs3q1atp0qSJktfPzw9HR0fGjh37nJ6E0IVH460k79giXh4Sc0LXJOaELkm8/WvkyJGEhISwc+dOrR3Xzc3NldkrAwcOxN7ensDAQK2y7dq1w97entDQ0Dz13r59m6SkJP766y+6detGaGgoderUwdbWFltb2xd7UyVQccdc7ufl1NRUypcvX2C+kt1lJkQpIP26Qlc0Gg337t3j6NGjLF++XGvnyoyMDDw8PFCpVERERHDgwAGysrLo0aNHoYv8b9q0iTFjxjB58mROnDiBi4sLnp6eeXbAHDp0KNeuXVNes2fPVs7NnDmTO3fucOLECdzc3Bg6dKhy7vDhwxw5coSAgIDn9yCETuTGm/yME7oiMSd0TWJO6JLE27+WLVtGamoqbm5u2NnZKa9NmzYpeZKSkrh27ZpWufj4eKKjowucurdr1y6aNGlCt27dAPD29qZJkybKF6mvmtISc7LQuRBClCJ3795lxIgRrFy5khkzZijpBw4cIDExkZMnTyrfRKxdu5YKFSoQERFBp06d8q1v/vz5DB06lPfeew+Ab775hh9++IHVq1czYcIEJZ+xsXGB3zDFxcXh7e2Nk5MTw4YNY8WKFQCo1WpGjBjBqlWrXvlvBIUQQgghxENF6SSJjIzMk1anTp1Cy/r6+uLr6/sMLRPFQTqlRInj6+tLSkoKO3bsKO6mFM02WzBWF3crxMtswL+/fOfOnUuXLl3o1KmTVqdUZmYmKpVKa4dIIyMj9PT0iI6OzrdTKisri5iYGCZOnKik6enp0alTJw4dOqSVd+PGjWzYsAFbW1t69OjBpEmTMDY2BsDFxYWIiAiGDBnC7t27lRFcs2fPxs3NjebNmz+f5yCEEEIIIYR4qcj0PfFc+fr6olKplJelpSWdO3fm9OnTxd20F0afB8XdBPGK2LJlC4mJicyaNSvPudatW2NiYsL48eO5e/cuGRkZjBs3juzs7DxDn3PdvHmT7OzsPGtOVapUievXryvHAwYMYMOGDezfv5+JEyeyfv16rcUlJ0yYgIGBATVr1mT79u0EBQVx4cIF1q5dy6RJkxgxYgSOjo7069eP1NTU5/Q0xIumr69P3bp1ZZSb0BmJOaFrEnNClyTehK6VlpiTTinx3HXu3FlZd2bfvn0YGBjQvXt3nbZBrdbdyCUVJXuOrng5/PHHHwQEBBAaGqosAPkoa2trtmzZwvfff4+pqSnm5uakpKTQtGnTZ95xY9iwYXh6etKwYUN8fHxYt24d27dvJyEhAXi4KGVISAhXrlwhKiqKevXqMXz4cObMmcPGjRu5dOkS8fHxGBsbM23atGdqi9AdlUqFhYUFKtklSOiIxJzQNYk5oUsSb0LXSkvMSaeUeO4MDQ2VHQ4aN27MhAkT+OOPP7hx4wbw8MN1v379sLCwoGLFivTq1YvExMQC6wsPD+e1117DwsICS0tLunfvrnwYBkhMTESlUrFp0ybat2+PkZERGzduZMqUKTRu3FirroULF+Lg4KAcR0ZG0rJlS0xMTLCwsMDV1ZUrV6480f0+oMwT5RfiacTExJCcnEzTpk0xMDDAwMCAqKgoFi1ahIGBAdnZ2Xh4eJCQkEBycjI3b95k/fr1XL16FUdHx3zrtLKyQl9fn7///lsr/e+//y50h5JWrVoBcPHixXzPBwcHY2FhQa9evYiMjMTLy4syZcrQt2/ffNcHECXTgwcPOHbsGA8eyGhQoRsSc0LXJOaELkm8aQsMDKRFixaYmZlhY2ODl5cX8fHxhZZxc3PTmpWT+8pd2Bxg27ZteHh4YGlpiUqlIjY29gXfSclVWmJOOqXEC5Wens6GDRuoVasWlpaWqNVqPD09MTMz49dff+XAgQOYmprSuXNnsrKy8q0jIyODMWPGcPz4cfbt24eenh69e/fOs6PYhAkTGD16NHFxcXh6ej62bQ8ePMDLy4v27dtz+vRpDh06xLBhw0p8T7J4Nbm7u3Py5EnWrl3L8ePHiY2NpXnz5vj4+BAbG6s1LNfKygoLCwsiIiJITk6mZ8+e+dZZtmxZmjVrxr59+5S0nJwc9u3bR5s2bQpsS+4vdzs7uzznbty4wbRp01i8eDHwcCva3JGLarWa7OzsJ753UXzk/5fQNYk5oWsSc0KXJN7+FRUVhZ+fH4cPH2bv3r2o1Wo8PDzIyMgosMy2bdu0doM+e/Ys+vr69O3bV8mTkZHBa6+9xpdffqmL2yjxSkPMyULn4rkLCwvD1NQUePhDwc7OjrCwMPT09AgJCSEnJ4dVq1YpnT+5oyoiIyPx8PDIU1+fPn20jlevXo21tTW///47DRo0UNIDAgJ48803i9zOtLQ0UlNT6d69OzVr1gTA2dm5wPyZmZlkZmZqlRdCV8zMzGjQoAH379+nQYMGGBgYYGJigqWlpfI+CA4OxtnZGWtraw4dOsTo0aP56KOPqFOnjlKPu7s7vXv3xt/fH4AxY8YwaNAgmjdvTsuWLVm4cCEZGRnKbnwJCQmEhITQtWtXLC0tOX36NB999BGvv/66sqD5owICAhg7diz29vYAuLq6sn79ejw8PFixYgWurq4v+lEJIYQQQogSLjw8XOt4zZo12NjYEBMTw+uvv55vmYoVK2odh4aGYmxsrNUp9e677wIUOhNHlCzSKSWeuw4dOrBs2TIA/vnnH77++mu6dOnC0aNHOXXqFBcvXsTMzEyrzP3797Wm5D3qwoULfP755xw5coSbN28qI6SSkpK0OqWedIevihUr4uvri6enJ2+88QadOnWiX79++Y7+gIdDTKdOnZonfXHt3zEsb/FE1xbiiZy8CYAqJxv71CyiTt1Co6dPUroadfI9Zv3/+fBfThLz8XjupaZgUbkqrX0DsPIZoZwHOBF3AVWtJNJz05zc8Rg9hYAJn3HnVjJ2dRrQ/6tQgv/Sh79uknI9nc07fiJw3gLU9+5iXqky9Tt0o8OQMVr1Apw/GMEvp89Rf8wC5VzWa95k/XyAJi1aUqV+U5qO9c9TTpRM/403IV40iTmhaxJzQpck3v41oYlVnrTczXD+2/FUmKCgILy9vTExMXlubRO6p9JoNLJKs3hufH19SUlJYceOHUpadnY25ubmBAQEcOvWLU6cOMHGjRvzlLW2tsbc3DxPHXXr1qV69ep88sknVK5cmZycHBo0aMD27dvx8vIiMTGRGjVqcPLkSa01pKZNm8Z3333HqVOnlLQ5c+awdOlSrZ7zkydPEh4ezvfff8+ZM2fYu3cvrVu3ztO+/EZKVa1alclRCRiZlX/6hyZEUWk0GGRn8UC/LMg0U/GiSbwJXZOYE7omMSd0SeJN8d9OqZycHHr27ElKSgrR0dFFquPo0aO0atWKI0eO0LJlyzznC/qM+CrRaDTcu3ePcuXKFcsSNWlpaZibm5Oamkr58gV/XpaRUuKFU6lU6Onpce/ePZo2bcqmTZuwsbEpNDBz3bp1i/j4eFauXEm7du0AivyDytramuvXr6PRaJQ3YX4L3TVp0oQmTZowceJE2rRpQ0hISL6dUoaGhhgaGhbp2kK8KNl68mNb6I7Em9A1iTmhaxJzQpck3vLn5+fH2bNni/w5Dx6OkmrYsGG+HVLiX2XLli3uJjyWLHQunrvMzEyuX7/O9evXiYuLY9SoUaSnp9OjRw98fHywsrKiV69e/Prrr1y+fJnIyEg+/PBD/vzzzzx1VahQAUtLS1asWMHFixeJiIhgzJgxRWqHm5sbN27cYPbs2SQkJLB06VJ++ukn5fzly5eZOHEihw4d4sqVK+zZs4cLFy4Uuq5UflSanMdnEuI5UGlysL8ZLzEndELiTeiaxJzQNYk5oUsSb/nz9/cnLCyM/fv3U6VKlSKVycjIIDQ0lMGDB7/g1pVu2dnZHD9+vMQvdi6dUuK5Cw8Px87ODjs7O1q1asWxY8fYsmULbm5uGBsb88svv1CtWjXefPNNnJ2dGTx4MPfv38935JSenh6hoaHExMTQoEEDPvroI+bMmVOkdjg7O/P111+zdOlSXFxcOHr0KOPGjVPOGxsbc+7cOfr06YOTkxPDhg3Dz8+P4cOHP7dnIYQQQgghhBBCm0ajwd/fn+3btxMREUGNGjWKXHbLli1kZmbyzjvvvMAWCl2RNaWEeEq5c2Rv3br1RAvyCfG0Hjx4wPHjx2nevDlz585l4sSJjB49moULFwIPd8obN24c0dHRZGZm0rlzZxYvXkylSpUKrPOXX35hzpw5xMTEcO3aNWWttlxqtZrPPvuMH3/8kUuXLmFubk6nTp2YNWsWlStXBh6OjhwyZAg7d+7E1taWr7/+mk6dOil1zJkzh6SkJBYvXvxCnot4MR6NNwMDmW4gXjyJOaFrEnNClyTetI0cOZKQkBB27typtVO0ubk55cqVA2DgwIHY29sTGBioVbZdu3bY29sTGhqap97bt2+TlJTEX3/9Rbdu3QgNDaVOnTrY2tpia2v7Ym+qhCnumCvqmlIyUkoIIUqZY8eOsXz5cho1aqSkZWRk4OHhgUqlIiIiggMHDpCVlUWPHj2UHSvzk5GRgYuLC0uXLs33/N27dzlx4gSTJk3ixIkTbNu2jfj4eHr27KnkWbFiBTExMRw6dIhhw4YxYMAAcr/vuHz5MitXrmTmzJnP6e6FEEIIIURpt2zZMlJTU3Fzc1Nm2djZ2bFp0yYlT1JSEteuXdMqFx8fT3R0dIFT93bt2kWTJk3o1q0bAN7e3jRp0oRvvvnmxd2MeCYyUkqIp5Tb85uSkoK5uXlxN0e8AjQaDampqbRs2ZKvv/6aGTNm0LhxYxYuXMiePXvo0qUL//zzj/JNRGpqKhUqVGDPnj1aI5cKolKp8oyUys+xY8do2bIlV65coVq1aowcOZLy5csza9Ys7t27h7GxMcnJyVhbW9O5c2eGDx9O7969n8cjEDqk0WjIzs5GX1+/WHZsEa8eiTmhaxJzQpck3oSuFXfMye574rGmTJnCjh078t2RrjSIjIykQ4cO/PPPP1hYWOSbZ82aNQQEBJCSkgK8oHveYgHGz686IfIY8O93B35+fnTt2pVOnToxY8YMJT0zMxOVSqW1Q6SRkRF6enpER0cXqVOqqFJTU1GpVMr7zsXFhfXr13Pv3j12796NnZ0dVlZWbNy4ESMjI+mQKsWysrKUIfRC6ILEnNA1iTmhSxJvQtdKQ8zJ9L1idP36dUaNGoWjoyOGhoZUrVqVHj16sG/fvuJuWoEiIyNRqVTKy9ramq5du3LmzJniblqRjBs37rk/32zKPNf6hChISEgIhw8f1uqMytW6dWtMTEwYP348d+/eJSMjg3HjxpGdnZ1n2POzuH//PuPHj6d///7KNx7vv/8+Li4u1KtXj5kzZ7J582b++ecfPv/8cxYvXsxnn31GrVq18PT05OrVq8+tLeLFys7O5vTp0yV+xxbx8pCYE7omMSd0SeJN6FppiTnplComiYmJNGvWjIiICObMmcOZM2cIDw+nQ4cO+Pn5FXfzHis+Pp5r166xe/duMjMz6datG1lZWcXdrMcyNTXF0tKyuJshxBP7448/GDNmDFOnTsXIyCjPeWtra7Zs2cL333+PqampMrW0adOm6Ok9nx/1arWafv36odFoWLZsmZJepkwZli5dyuXLlzl27BivvfYaY8eO5cMPP+TkyZPs2LGDU6dO0bp1az788MPn0hYhhBBCCCFE6SedUsVk5MiRqFQqjh49Sp8+fXBycqJ+/fqMGTOGw4cPAw+nnj06Kin3NWXKFKWeVatW4ezsjJGREXXr1uXrr7/Wus6ff/5J//79qVixIiYmJjRv3pwjR45o5Vm/fj0ODg6Ym5vj7e3NnTt3Htt+GxsbbG1tadq0KQEBAfzxxx+cO3dOOR8dHU27du0oV64cVatW5cMPPyQjI0M57+DgwPTp0+nfvz8mJibY29trLbScmJiISqXSmmaXkpKCSqUiMjJSqy0HDhygUaNGGBkZ0bp1a86ePVtgu6dMmULjxo210lavXk39+vUxNDTEzs4Of3//x96/ELoWExNDcnIyvr6+GBkZYWBgQFRUFIsWLcLAwIDs7Gw8PDxISEggOTmZmzdvsn79eq5evYqjo+MzXz+3Q+rKlSvs3bu30Hnh+/fv57fffsPf35/IyEi6du2KiYkJ/fr1y/P+FUIIIYQQIjAwkBYtWmBmZoaNjQ1eXl7Ex8cXWsbNzS3fz8u5i5yr1WrGjx9Pw4YNMTExoXLlygwcOJC//vpLF7ckikg6pYrB7du3CQ8Px8/PDxMTkzznc9dpefvtt7l27Zry+vbbbzEwMMDV1RWAjRs38vnnnzNz5kzi4uL44osvmDRpEmvXrgUgPT2d9u3bc/XqVXbt2sWpU6f45JNPtHbiSkhIYMeOHYSFhREWFkZUVBSzZs0q8r2kpqYqW3GWLVtWqbNz58706dOH06dPs2nTJqKjo/N09syZMwcXFxdOnjzJhAkTGD16NHv37i36g/x/H3/8MfPmzePYsWNYW1vTo0cP1Gp1kcouW7YMPz8/hg0bxpkzZ9i1axe1atV64jYI8aK5u7tz8uRJNmzYwPHjx4mNjaV58+b4+PgQGxuLvr6+ktfKygoLCwsiIiJITk7W2invaeR2SF24cIGff/650NGG9+/fx8/Pj+XLl6Ovr092drbyflSr1SV++LDQ9mhcCaELEnNC1yTmhC5JvBUsKioKPz8/Dh8+zN69e1Gr1Xh4eGgNbPivbdu2aX1ePnv2LPr6+vTt2xco2i7SL7vSEHOy0HkxuHjxIhqNhrp16xaar1y5csqiZAkJCfj5+fHFF1/wxhtvADB58mTmzZvHm2++CUCNGjX4/fffWb58OYMGDSIkJIQbN25w7NgxKlasCJCnwyUnJ4c1a9ZgZmYGwLvvvsu+ffseu317lSpVAJQfEj179lTuJzAwEB8fHwICAgCoXbs2ixYton379ixbtkyZeuTq6sqECRMAcHJy4sCBAyxYsEC5v6KaPHmyUmbt2rVUqVKF7du3069fv8eWnTFjBmPHjmX06NFKWosWLfLNm5mZSWZmpnKclpYGgAFF6wAT4lmYmZnRuHFjrZF+JiYmWFpa0qBBAwCCg4NxdnbG2tqaQ4cOMXr0aD766CPq1KmjlHF3d6d3795KJ3F6ejoXL15Uzl++fJnY2FgqVqxItWrVUKvVvPXWW5w4cYKwsDCys7O5fv06ABUrVlQ6o3NNnz6drl270qRJE+Dh+/zjjz/mvffeY8mSJUqnuij5DAwMCvx5KMSLIDEndE1iTuiSxFvhwsPDtY7XrFmDjY0NMTExvP766/mWyf2Mmys0NBRjY2OlU8rc3DzPoIclS5bQsmVLkpKSqFat2nO8g5KntMScdEoVA41G8/hMj0hNTaV79+5069aNjz/+GHjYGZSQkMDgwYMZOnSokvfBgweYm5sDEBsbS5MmTfK8WR/l4OCgdEgB2NnZkZyc/Ng2/frrrxgbG3P48GG++OILvvnmG+XcqVOnOH36NBs3blTSNBoNOTk5XL58GWdnZwDatGmjVWebNm1YuHDhY6/9X4/WU7FiRerUqUNcXNxjyyUnJ/PXX3/h7u5epOsEBgYyderUPOnznRIwMit4KpMQz+zkzYf/1WgwUmdwv4wJqFQkpatRJ99j1v+fD//lJDEfj+deagoWlavS2jcAK58RynmAE3EXUNVKIv3/0y4dP8DKYV7K+TFjxgDQtMfb9J26hH/+SmLXrl0Aeaa+Dl2xA8fm/3YyXb8Yx4b13/Jh6H7lmjk13bBr5U5L19ewrl6Lt2d+o9UeUYL9J96EeOEk5oSuScwJXZJ4K9CEJlZ50lJTU4G8HU+FCQoKwtvbO9/ZSI/W++gu0i8zjUZDamoq5ubmqEpwzEmnVDGoXbs2KpVKaw2mgmRnZ/P2229Tvnx5VqxYoaSnp6cDsHLlSlq1aqVVJneIXlG2fixTRnvnOJVKpTW9ryA1atTAwsKCOnXqkJyczNtvv80vv/yitG348OH5Lmhc1N7o3IWZH+3AK+qUvKJ60q0xJ06cqHxgh4cjpapWrYpK8/jnJcTzoNLkYJWSxFWrOmhU+gxbuVPrfOcPP6fzh58XWsf4H05oHTs2dyXwxI0C81eoXK3Q84+yreXMuJ1HtdL09PTwmjgbr4mzi1SHKDn+G29CvGgSc0LXJOaELkm8FV1OTg4BAQG4uroqMwIe5+jRo5w9e5agoKAC8+S3i/TLLDs7m3PnztG8eXMMDEpu14+sKVUMKlasiKenJ0uXLs13jmxKSory748++ogzZ86wY8cOrR23KlWqROXKlbl06RK1atXSetWoUQOARo0aERsby+3bt1/o/fj5+XH27Fm2b98OQNOmTfn999/ztKtWrVpaU31yF3R/9Dh3FJW1tTWA1lb2jy56/t9yuf755x/Onz+v1FMYMzMzHBwc2LdvX5Hu09DQkPLly2u9hBBCCCGEEEI8P7mfL3PXLi6KoKAgGjZsSMuWLfM9X9Au0qL4SadUMVm6dCnZ2dm0bNmS7777jgsXLhAXF8eiRYuU6WjBwcF8/fXXfPPNN6hUKq5fv87169eVUVJTp04lMDCQRYsWcf78ec6cOUNwcDDz588HoH///tja2uLl5cWBAwe4dOkS3333HYcOHXqu92JsbMzQoUOZPHkyGo2G8ePHc/DgQfz9/YmNjeXChQvs3Lkzz0LnBw4cYPbs2Zw/f56lS5eyZcsWZW2ncuXK0bp1a2bNmkVcXBxRUVF89tln+V5/2rRp7Nu3j7Nnz+Lr64uVlRVeXl5FavuUKVOYN28eixYt4sKFC5w4cYLFixc/0/MQQgghhBBCCPHk/P39CQsLY//+/co6xo+TkZFBaGgogwcPzvf8k+wiLXRPOqWKiaOjIydOnKBDhw6MHTuWBg0a8MYbb7Bv3z6l5zYqKors7Gx69uyJnZ2d8po7dy4AQ4YMYdWqVQQHB9OwYUPat2/PmjVrlJFSZcuWZc+ePdjY2NC1a1caNmzIrFmzXsgK/P7+/sTFxbFlyxYaNWpEVFQU58+fp127djRp0oTPP/+cypUra5UZO3Ysx48fp0mTJsyYMYP58+fj6empnF+9ejUPHjygWbNmBAQEMGPGjHyvPWvWLEaPHk2zZs24fv0633//fZ7FlwsyaNAgFi5cyNdff039+vXp3r07Fy5ceLKbL8Hzc8VLRqXigYGhxJzQDYk3oWsSc0LXJOaELkm8FUqj0eDv78/27duJiIhQPtMWxZYtW8jMzOSdd97Jc+5JdpF+2ahUKsqVK1ei15MCUGmedNVtIZ4DBwcHAgIClB36SqO0tDTMzc1JTU2V3nahc7NmzWLixImMHj1a2SAgISGBcePGER0dTWZmJp07d2bx4sVUqlSpwHqWLVvGsmXLSExMBKB+/fp8/vnndOnSBYDbt28zefJk9uzZQ1JSEtbW1nh5eTF9+nRlU4Xbt28zaNAg9u/fT+3atVm9erWy+x48HILt6OjI2LFjX8zDEEIIIYQQpdrIkSMJCQlh586dWjtHm5ubK2sBDxw4EHt7ewIDA7XKtmvXDnt7+zzT/f67i/SjfxPnt4u0eL6K+nlZRkoJ8YyKsjC8EM9DTk4OycnJHDlyhOXLl9OoUSPlXEZGBh4eHqhUKiIiIjhw4ABZWVn06NGj0BitUqUKs2bNIiYmhuPHj9OxY0d69erFb7/9BsBff/3FX3/9xdy5czl79ixr1qwhPDxca3j0zJkzuXPnDidOnMDNzU1rR9DDhw9z5MiRUt0B/arKjTf5GSd0RWJO6JrEnNAlibfCLVu2jNTUVNzc3LRmCW3atEnJk5SUpLXmMEB8fDzR0dH5Tt27evUqu3bt4s8//6Rx48Za9R48ePCF31NxKy0xV3KXYBeilCjpb3Lx8sjJyeHs2bOMGDGClStXak1pPXDgAImJiZw8eVL5JmLt2rVUqFCBiIgIOnXqlG+dPXr00DqeOXMmy5Yt4/Dhw9SvX58GDRrw3XffKedr1qzJzJkzeeedd3jw4AEGBgbExcXh7e2Nk5MTw4YNU3YKVavVjBgxglWrVr2QacPixcrJyeHSpUtUrFhR2RFViBdJYk7omsSc0CWJt8IVZQJXZGRknrQ6deoUWNbBwaFI9b6sSkvMSaeUKJLIyEg6dOjAP//8g4WFxTPXlztV6EV43m19rG22YKx+8dcRr7YBD3+hzp07ly5dutCpUyetTqnMzExUKhWGhoZKmpGREXp6ekRHRxfYKfWo7OxstmzZQkZGhrLhQn5yh+Dmbi3r4uJCREQEQ4YMYffu3coIrtmzZ+Pm5kbz5s2f6paFEEIIIYQQL7eS210mnliPHj3o3Llzvud+/fVXVCoVp0+ffmw9bm5ueabatG3blmvXrilryBSnkydP0rdvXypVqoSRkRG1a9dm6NChnD9/Hsjb1jVr1uimc0qIF2zTpk3Ex8czc+bMPOdat26NiYkJ48eP5+7du2RkZDBu3Diys7PzDHP+rzNnzmBqaoqhoSEjRoxg+/bt1KtXL9+8N2/eZPr06QwbNkxJmzBhAgYGBtSsWZPt27cTFBTEhQsXWLt2LZMmTWLEiBE4OjrSr18/UlNTn+0hCCGEEEIIIV4a0in1Ehk8eDB79+7lzz//zHMuODiY5s2ba61B8yTKli2Lra1tsa/cHxYWRuvWrcnMzGTjxo3ExcWxYcMGzM3NmTRpUrG0VcWrOyRU6M4ff/zBmDFjmDdvnrLY46Osra3ZsmUL33//Paamppibm5OSkkLTpk0fO1y3Tp06xMbGcuTIET744AMGDRrE77//nidfWloa3bp1o169ekyZMkVJNzc3JyQkhCtXrhAVFUW9evUYPnw4c+bMYePGjVy6dIn4+HiMjY2ZNm3aMz8LoRsqlQpzc/Ni/7kvXh0Sc0LXJOaELkm8PV5gYCAtWrTAzMwMGxsbvLy8iI+PL7SMm5sbKpUqz6tbt25KnilTplC3bl1MTEyoUKECnTp14siRIy/6dopdaYk56ZR6iXTv3h1ra2vWrFmjlZ6ens6WLVsYPHgwt27don///tjb22NsbEzDhg359ttvlby+vr5ERUXx1VdfKW/oxMREIiMjUalUpKSkKHkPHDiAm5sbxsbGVKhQAU9PT/755x8AwsPDee2117CwsMDS0pLu3buTkJCglE1MTESlUrFt2zY6dOiAsbExLi4uHDp0qMD7u3v3Lu+99x5du3Zl165ddOrUiRo1atCqVSvmzp3L8uXLAbTaGhkZyXvvvUdqaqpyP1OmTGHatGk0aNAgzzUaN26sdG4VlT4Pnii/EE8jJiaG5ORk3nrrLQwNDTEwMCAqKopFixZhYGBAdnY2Hh4eJCQkkJyczM2bN1m/fj1Xr17F0dGx0LrLli1LrVq1aNasGYGBgbi4uPDVV19p5blz5w6dO3fGzMyM7du3U6ZMmQLrCw4OxsLCgl69ehEZGYmXlxdlypShb9+++a4FIEomfX19nJ2dZT0woTMSc0LXJOaELkm8PV5UVBR+fn4cPnyYvXv3olar8fDwICMjo8Ay27Zt49q1a8rr7Nmz6Ovr07dvXyWPk5MTS5Ys4cyZM0RHR+Pg4ICHhwc3btzQxW0Vm9ISc9Ip9RIxMDBg4MCBrFmzRmtBty1btpCdnU3//v25f/8+zZo144cffuDs2bMMGzaMd999l6NHjwLw1Vdf0aZNG4YOHaq8satWrZrnWrGxsbi7u1OvXj0OHTpEdHQ0PXr0IDs7G3i4E9iYMWM4fvw4+/btQ09Pj969e+dZFPx///sf48aNIzY2FicnJ/r378+DB/l38uzevZubN2/yySef5Hs+vyl6bdu2ZeHChZQvX165n3HjxvH+++8TFxfHsWPHlLwnT57k9OnTvPfee4U/6P/IkbeR0AF3d3dOnTpFeHg4J06cIDY2lubNm+Pj40NsbKzWLxsrKyssLCyIiIggOTmZnj17PtG1cnJyyMzMVI7T0tLw8PCgbNmy7Nq1CyMjowLL3rhxg2nTprF48WLg4TpVavXDNdfUarXyM0KUfDk5Ofz555+ymYPQGYk5oWsSc0KXJN4eLzw8HF9fX+rXr4+Liwtr1qwhKSmJmJiYAstUrFgRW1tb5bV3716MjY21OqUGDBhAp06dcHR0pH79+syfP5+0tLQiLW1TmpWWmJOFzl8y77//PnPmzCEqKgo3Nzfg4aiFPn36YG5ujrm5OePGjVPyjxo1it27d7N582ZatmyJubk5ZcuWxdjYGFtb2wKvM3v2bJo3b87XX3+tpNWvX1/5d58+fbTyr169Gmtra37//XetEUrjxo1ThlZOnTqV+vXrc/HiRerWrZvnmhcuXADI91xBypYtqwxZfPR+TE1N8fT0JDg4mBYtWgAPn1P79u0LHFWSmZmZ54M6QA76QMl+o4vSz8zMjHr16nH37l3q1auHgYEBJiYmWFpaKu+p4OBgnJ2dsba25tChQ4wePZqPPvqIOnXqKPW4u7vTu3dv/P39AZg4cSJdunShWrVq3Llzh5CQECIjI9m9ezfwb4fU3bt32bBhA2lpaUrsW1tb5/nmJSAggLFjx2Jvbw+Aq6sr69evx8PDgxUrVuDq6vrCn5V4PnL/kLG1tS3RO7aIl4fEnNA1iTmhSxJvTy53LdKKFSsWuUxQUBDe3t6YmJjkez4rK4sVK1Zgbm6Oi4vLc2lnSVVaYk46pV4ydevWpW3btqxevRo3NzcuXrzIr7/+qqzjkp2dzRdffMHmzZu5evUqWVlZZGZmYmxs/ETXiY2N1ep9/q8LFy7w+eefc+TIEW7evKn0ziYlJWl1Sj26xpWdnR0AycnJ+XY8Pe/tPIcOHcr777/P/Pnz0dPTIyQkhAULFhSYPzAwkKlTp+ZJX1z7dwzLWzzXtgmRx8mbqHKysU/NIurULTR6+iSlq1En32PWyZsAhP9ykpiPx3MvNQWLylVp7RuAlc8I5TzAibgLqGolkf7/aT/HJfHN2ne4c/NvjEzLY1u7Hu8t3UyMVRNiTt7k0vEDypz7WrVqaTXpk7AYKlSuphyfPxjBL6fPUX/MAuWaWa95k/XzAZq0aEmV+k1pOtZfqz2i5PpvvAnxoknMCV2TmBO6JPFWuAlNrLSOc3JyCAgIwNXVNd9lV/Jz9OhRzp49S1BQUJ5zYWFheHt7c/fuXezs7Ni7dy9WVlb51CJ0TTqlXkKDBw9m1KhRLF26lODgYGrWrEn79u0BmDNnDl999RULFy6kYcOGmJiYEBAQQFZW1hNdI7+Flh/Vo0cPqlevzsqVK6lcuTI5OTk0aNAgz3UeXZcmdwG2goYXOjk5AXDu3LlCt6svqh49emBoaMj27dspW7YsarWat956q8D8EydOZMyYMcpxWlpavlMbhdCVYSt3ah13/vBzOn/4eaFlxv9wQuu4z+SvCsj5kGNzVwJPFG2+vVPbjji17aiVVracMQO+zPuHgRBCCCGEEAXx8/Pj7NmzREdHF7lMUFAQDRs2pGXLlnnOdejQgdjYWG7evMnKlSvp168fR44cwcbG5nk2WzyFkjuGSzy1fv36KSN/1q1bx/vvv690+Bw4cIBevXrxzjvv4OLigqOjI+fPn9cqX7Zs2ceu+9KoUSP27duX77lbt24RHx/PZ599hru7O87OzsoC6M/Cw8MDKysrZs+ene/5Rxdhf1RB92NgYMCgQYMIDg4mODgYb2/vQjvbDA0NKV++vNYLQFPCdzMQLw+NSkVGOQuJOaETEm9C1yTmhK5JzAldkngrOn9/f8LCwti/fz9VqlQpUpmMjAxCQ0MZPHhwvudNTEyoVasWrVu3JigoCAMDg3xHVL1M9PT0sLa2LtFT90BGSr2UTE1Nefvtt5k4cSJpaWn4+voq52rXrs3WrVs5ePAgFSpUYP78+fz999/Uq1dPyePg4MCRI0dITEzE1NQ03zm8EydOpGHDhowcOZIRI0ZQtmxZ9u/fT9++falYsSKWlpasWLECOzs7kpKSmDBhwjPfl4mJCatWraJv37707NmTDz/8kFq1anHz5k02b95MUlISoaGheco5ODiQnp7Ovn37cHFxwdjYWJmuOGTIEJydnYGHHXZPRVWy3+TiJaLS4x+zysXdCvGqkHgTuiYxJ3RNYk7oksTbY2k0GkaNGsX27duJjIykRo0aRS67ZcsWMjMzeeedd4qU/78b+7yM9PT0qFmzZnE347Hk0/RLavDgwfzzzz94enpSufK/P/w+++wzmjZtiqenJ25ubtja2uLl5aVVdty4cejr61OvXj2sra1JSkrKU7+TkxN79uzh1KlTtGzZkjZt2rBz504MDAzQ09MjNDSUmJgYGjRowEcffcScOXOey3316tWLgwcPUqZMGQYMGEDdunXp378/qampzJgxI98ybdu2ZcSIEbz99ttYW1trjbSqXbs2bdu2pW7durRq1erpGqWRRc6FjmhyqHDnL4k5oRsSb0LXJOaErknMCV2SeHssPz8/NmzYQEhICGZmZly/fp3r169z7949Jc/AgQOZOHFinrJBQUF4eXlhaWmplZ6RkcGnn37K4cOHuXLlCjExMbz//vtcvXq10DWSXwY5OTkkJCSU+N330AjxCsvJydHUrFlTM2/evCcum5qaqgE0t27degEtEyIvtVqtOXTokEatVms0Go0mMDBQA2hGjx6t5Ll48aLGy8tLY2VlpTEzM9P07dtXc/369ULrnTx5sgbQetWpU0crz7BhwzSOjo4aIyMjjZWVlaZnz56auLg45fytW7c03bt315iYmGgaN26sOXHihFb5kSNHaubOnfuMT0Do0n/jTYgXTWJO6JrEnNAlibfH++/fo7mv4OBgJU/79u01gwYN0ip37tw5DaDZs2dPnjrv3bun6d27t6Zy5cqasmXLauzs7DQ9e/bUHD169AXfTfEr7pjL/bycmppaaD6ZvideWTdu3CA0NJTr16/z3nvvFXdzhHgix44dY/ny5Vo7WGZkZODh4YGLiwsREREATJo0iR49enD48OFC55PXr1+fn3/+WTk2MND+9dCsWTN8fHyoVq0at2/fZsqUKXh4eHD58mX09fWZOXMmd+7c4cSJEyxbtoyhQ4dy/PhxAA4fPsyRI0dYtGjR83wEQgghhBDiJaIpwm7rkZGRedLq1KlTYFkjIyO2bdv2rE0TL5B0SolXlo2NDVZWVqxYsYIKFSoUd3OEKLL09HR8fHxYuXKl1rTVAwcOkJiYyMmTJ5WF+NeuXUuFChWIiIigU6dOBdZpYGCAra1tgeeHDRum/NvBwYEZM2bg4uJCYmIiNWvWJC4uDm9vb5ycnBg2bBgrVqwAQK1WM2LECFatWoW+vmx/LIQQQgghhPiXdEoBbm5uNG7cmIULFxZ3U/KYMmUKO3bsIDY2tribUqIlJiZSo0YNTp48SePGjYtUpig98UWht80ajEv4PF1R+g3QoKenR5UqVfjwww/p1q0bnTp10uqUyszMRKVSYWhoqKQZGRmhp6dHdHR0oZ1SFy5coHLlyhgZGdGmTRsCAwOpVq1avnkzMjIIDg6mRo0aVK1aFUAZnTVkyBB2796tjOCaPXs2bm5uNG/e/Hk8BaFDufFW0ndsES8PiTmhaxJzQpck3oSulZaYK9bW+fr6olKplJelpSWdO3fm9OnTOm3Htm3bmD59uk6v+bwkJiaiUqny7bRyc3MjICBA520qDlWrVuXatWs0aNBA59fWQzqkhG7kdi6dPHmSwMDAPOdbt26NiYkJ48eP5+7du2RkZDBu3Diys7O5du1agfW2atWKNWvWEB4ezrJly7h8+TLt2rXjzp07Wvm+/vprTE1NMTU15aeffmLv3r2ULVsWgAkTJmBgYEDNmjXZvn07QUFBXLhwgbVr1zJp0iRGjBiBo6Mj/fr1IzU19fk+GPFClJY/ZMTLQ2JO6JrEnNAliTeha6Ul5oq9dZ07d+batWtcu3aNffv2YWBgQPfu3XXahooVK2JmZqbTa5YG2dnZJX+l/v+nr6+Pra1tnnVwdCFbBhwKHUlMTMTf359169ZhZGSU57y1tTVbtmzh+++/x9TUFHNzc1JSUmjatGmhv4y6dOlC3759adSoEZ6envz444+kpKSwefNmrXw+Pj6cPHmSqKgonJyc6NevH/fv3wfA3NyckJAQrly5QlRUFPXq1WP48OHMmTOHjRs3cunSJeLj4zE2NmbatGnP98GIFyI7O5u4uDiys7OLuyniFSExJ3RNYk7oksRb0QQGBtKiRQvMzMywsbHBy8uL+Pj4Qsu4ublpDXbJfXXr1k3JM2XKFOrWrYuJiQkVKlSgU6dOHDly5EXfTrEqLTFX7J1ShoaG2NraYmtrS+PGjZkwYQJ//PEHN27cUPKcOXOGjh07Uq5cOSwtLRk2bBjp6enK+cjISFq2bImJiQkWFha4urpy5coV4GHwNW7cmPXr1+Pg4IC5uTne3t5aIwD+O6Jo/fr1NG/eHDMzM2xtbRkwYADJycmF3sfjykRGRqJSqdi3bx/NmzfH2NiYtm3b5nmDzZo1i0qVKmFmZsbgwYOVD3zPQ2ZmJuPGjcPe3h4TExNatWqltVDcmjVrsLCwYNeuXdSrVw9DQ0OSkpLyfYM7ODgo5c6ePUuXLl0wNTWlUqVKvPvuu9y8eVM5f+fOHXx8fDAxMcHOzo4FCxbkeeb//PMPAwcOpEKFChgbG9OlSxcuXLgAQFpaGuXKleOnn37Sup/t27djZmbG3bt384wYK8rzTkhIoFevXlSqVAlTU1NatGihtdBzUWlQPXEZIZ5GTEwMt27dokWLFhgYGGBgYEBUVBSLFi3CwMCA7OxsPDw8SEhIIDk5mZs3b7J+/XquXr2Ko6Njka9jYWGBk5MTFy9e1Eo3Nzendu3avP7662zdupVz586xffv2fOsIDg7GwsKCXr16ERkZiZeXF2XKlKFv3775LlApSh6NRkNqaupzm+osxONIzAldk5gTuiTxVjRRUVH4+flx+PBh9u7di1qtxsPDg4yMjALLbNu2TRnocu3aNc6ePYu+vj59+/ZV8jg5ObFkyRLOnDlDdHQ0Dg4OeHh4aPU7vGxKS8wVe6fUo9LT09mwYQO1atXC0tISeLh2iaenJxUqVODYsWNs2bKFn3/+GX9/fwAePHiAl5cX7du35/Tp0xw6dIhhw4ahUv3bUZCQkMCOHTsICwsjLCyMqKgoZs2aVWA71Go106dP59SpU+zYsYPExER8fX0LbXtRy/zvf/9j3rx5HD9+HAMDA95//33l3ObNm5kyZQpffPEFx48fx87Ojq+//voJnmDh/P39OXToEKGhoZw+fZq+ffvSuXNnpfMH4O7du3z55ZesWrWK3377DRsbG603+MWLF6lVqxavv/46ACkpKXTs2JEmTZpw/PhxwsPD+fvvv+nXr59S55gxYzhw4AC7du1i7969/Prrr5w4cUKrbb6+vhw/fpxdu3Zx6NAhNBoNXbt2Ra1WU758ebp3705ISIhWmY0bN+Ll5YWxsXGB91zY805PT6dr167s27ePkydP0rlzZ3r06EFSUtIzPWchXpSOHTuyYcMGjh8/TmxsLLGxsTRv3hwfHx9iY2O1FhK3srLCwsKCiIgIkpOT6dmzZ5Gvk56eTkJCAnZ2dgXm0Wg0aDQaMjMz85y7ceMG06ZNY/HixcDDb2nUajXw8GdlSf+2RgghhBBCFI/w8HB8fX2pX78+Li4urFmzhqSkJGJiYgosU7FiRWWgi62tLXv37sXY2FirU2rAgAF06tQJR0dH6tevz/z580lLS9P50kEir2KfdxQWFoapqSnwsAPKzs6OsLAwZapJSEgI9+/fZ926dZiYmACwZMkSevTowZdffkmZMmVITU2le/fu1KxZEwBnZ2eta+Tk5LBmzRplit67777Lvn37mDlzZr5terTjwtHRkUWLFtGiRQvS09OVtj5tmZkzZ9K+fXvg4Ros3bp14/79+xgZGbFw4UIGDx7M4MGDAZgxYwY///xzkUZLtW3bNs/0nHv37imLficlJREcHExSUhKVK1cGYNy4cYSHhxMcHMwXX3wBPPzA+PXXX+Pi4qLUk9vpo9Fo6NOnD+bm5ixfvhx4+P+iSZMmSnmA1atXU7VqVc6fP4+dnR1r164lJCQEd3d34OEIitw2wMMFlnft2sWBAwdo27Yt8LDDqWrVquzYsYO+ffvi4+PDu+++y927dzE2NiYtLY0ffvihwFEaRXneLi4uWvc5ffp0tm/fzq5du5ROz0dlZmZqfQBPS0sr9NpCPG9mZmbUrFmTBg0aKFNVTUxMsLS0VNZTCw4OxtnZGWtraw4dOsTo0aP56KOPqFOnjlKPu7s7vXv3VuJ83Lhx9OjRg+rVq/PXX38xefJk9PX16d+/PwCXLl1i06ZNeHh4YG1tzZ9//smsWbMoV64cXbt2zdPOgIAAxo4di729PQCurq6sX78eDw8PVqxYgaur6wt9TkIIIYQQ4uWQuxZpxYoVi1wmKCgIb29vpf/gv7KyslixYgXm5uZanwdF8Sj2TqkOHTqwbNky4OEUrq+//pouXbpw9OhRqlevTlxcHC4uLloB5erqSk5ODvHx8bz++uv4+vri6enJG2+8QadOnejXr5/WN/wODg5aa0bZ2dkVOh0vJiaGKVOmcOrUKf755x9lXaWkpCTq1av3TGVyd6TKbQdAcnIy1apVIy4ujhEjRmjV26ZNG/bv31/4QwQ2bdqUpzPOx8dH+feZM2fIzs7GyclJK09mZqYyKg2gbNmyWm181KeffsqhQ4c4fvw45cqVA+DUqVPs378/3866hIQE7t27h1qtpmXLlkq6ubm51gfkuLg4DAwMaNWqlZJmaWlJnTp1iIuLA6Br166UKVOGXbt24e3tzXfffUf58uUL3U0MCn/e6enpTJkyhR9++IFr167x4MED7t27V+BIqcDAQKZOnZonfZHTOYzMyhfaDiGe2cmboNFgkmNJ5Ol/4P9Hgyalq1En32PWyYdTZsN/OUnMx+O5l5qCReWqtPYNwMpnhHIe4ETcBVS1kkj//7S9ZxJYsfZt7qb+g0kFSxwat8I36EeC/lTBnzdJu3GX737YxxdzF3AvLQVTS2scmrbBd9UPrL6qB1f/rfv8wQh+OX2O+mMWKNfMes2brJ8P0KRFS6rUb0rTsf5a7RElVD7xJsQLJTEndE1iTuiSxNtjTWhipXWck5NDQEAArq6uRd7Q6ujRo5w9e5agoKA858LCwvD29ubu3bvY2dmxd+9erKys8qnl5aCnp4ejo2OJX+i82DulTExMqFWrlnK8atUqzM3NWblypdZW54UJDg7mww8/JDw8nE2bNvHZZ5+xd+9eWrduDUCZMmW08qtUqgIX8M6dLujp6cnGjRuxtrYmKSkJT09PsrKynrnMo23JnWL4PBYTr1q1qtZzBJSOI3g4HUdfX5+YmBitKT6AVodSuXLltKY+5tqwYQMLFiwgMjJSGf2QW2/uqLX/srOzy7MmzdMqW7Ysb731FiEhIXh7exMSEsLbb7/92IXNC3ve48aNY+/evcydO5datWpRrlw53nrrrQL/P0+cOJExY8Yox2lpaVStWlV+qQjdUanIKFdBK2nYyp1ax50//JzOH35eaDXjf9CePtt/1spC85e3tuW9xaFFaqJT2444te2olVa2nDEDvsz7h4Eo4fKJNyFeKIk5oWsSc0KXJN6emJ+fH2fPniU6OrrIZYKCgmjYsKHWoIhcHTp0IDY2lps3b7Jy5Ur69evHkSNHsLGxeZ7NLjH09PRKxb2VuC4zlUqFnp4e9+7dAx5OxTt16pTWwmYHDhxAT09Pa7RNkyZNmDhxIgcPHqRBgwZ51h8qqnPnznHr1i1mzZpFu3btqFu37mMXOX+aMvlxdnbOswPA4cOHn7ie/DRp0oTs7GySk5OpVauW1svW1rbQsocOHWLIkCEsX75c6ejL1bRpU3777TccHBzy1GtiYoKjoyNlypTh2LFjSpnU1FTOnz+vHDs7O/PgwQOte7916xbx8fFao8x8fHwIDw/nt99+IyIiQmsk2NM4cOAAvr6+9O7dm4YNG2Jra0tiYmKB+Q0NDSlfvrzWC0ClKR07FIrST6XJwfZ2gsSc0AmJN6FrEnNC1yTmhC5JvD0Zf39/wsLC2L9/P1WqVClSmYyMDEJDQ5XlcP4rd0BM69atCQoKwsDAIN8RVS+L7OxsTp06VeLXcy32TqnMzEyuX7/O9evXiYuLY9SoUcroG3jYEWFkZMSgQYM4e/Ys+/fvZ9SoUbz77rtUqlSJy5cvM3HiRA4dOsSVK1fYs2cPFy5cyDOVtqDbmgABAABJREFUraiqVatG2bJlWbx4MZcuXWLXrl1Mnz79uZfJz+jRo1m9ejXBwcGcP3+eyZMn89tvvz3VffyXk5MTPj4+DBw4kG3btnH58mWOHj1KYGAgP/zwQ4Hlrl+/Tu/evfH29sbT01P5f5W7S4Gfnx+3b9+mf//+HDt2jISEBHbv3s17771HdnY2ZmZmDBo0iI8//pj9+/fz22+/MXjwYPT09JSRS7Vr16ZXr14MHTqU6OhoTp06xTvvvIO9vT29evVS2vL6669ja2uLj48PNWrU0Jru9zRq167Ntm3biI2N5dSpUwwYMODpRq2V8N0MxEtEo8HgQabEnNANiTehaxJzQtck5oQuSbwViUajwd/fn+3btxMREUGNGjWKXHbLli1kZmbyzjvvFCl/Tk5Ovpv2vCw0Gg337t2T3fceJzw8HDs7O+zs7GjVqpWyw56bmxvwcJHt3bt3c/v2bVq0aMFbb72Fu7s7S5YsUc6fO3eOPn364OTkxLBhw/Dz82P48OFP1R5ra2vWrFnDli1bqFevHrNmzWLu3LnPvUx+3n77bSZNmsQnn3xCs2bNuHLlCh988MFT3Ud+goODGThwIGPHjqVOnTp4eXlx7NgxqlWrVmCZc+fO8ffff7N27Vrl/5OdnR0tWrQAoHLlyhw4cEDZir5hw4YEBARgYWGhzF2dP38+bdq0oXv37nTq1AlXV1ecnZ0xMjLSaluzZs3o3r07bdq0QaPR8OOPP+aZfte/f39OnTr1zKOkcttVoUIF2rZtS48ePfD09KRp06bPXK8QQgghhBBCiCfn5+fHhg0bCAkJwczMTBkUkTuTCmDgwIFMnDgxT9mgoCC8vLy01kyGhyOoPv30Uw4fPsyVK1eIiYnh/fff5+rVq1o79IliohFCx9LT0zXm5uaaVatWFXdTnklqaqoG0Ny6dau4myJeEWq1WnPo0CGNWq3WaDQaTWBgoAbQjB49Wslz8eJFjZeXl8bKykpjZmam6du3r+b69euF1jt58mQNoPWqU6eOVp727dvnyTN8+HDl/K1btzTdu3fXmJiYaBo3bqw5ceKEVvmRI0dq5s6d+4xPQOjSf+NNiBdNYk7omsSc0CWJt6L579+bua/g4GAlT/v27TWDBg3SKnfu3DkNoNmzZ0+eOu/du6fp3bu3pnLlypqyZctq7OzsND179tQcPXr0Bd9N8SrumMv9vJyamlpovmJf6Fy8/E6ePMm5c+do2bIlqampTJs2DUBral5p9t+F44V4UfT19albty76+vocO3aM5cuXa+0wmZGRgYeHBy4uLkRERAAwadIkevToweHDhwvdeaN+/fr8/PPPynF+mwgMHTpUef/Cw5GquWbOnMmdO3c4ceIEy5YtY+jQoRw/fhx4uDbekSNHWLRo0dPfvNC5R+NNCF2QmBO6JjEndEnirWg0RZhqFhkZmSetTp06BZY1MjJi27Ztz9q0Uqe0xJx0SgmdmDt3LvHx8ZQtW5ZmzZrx66+/vjTbb+a3W6EQL4JKpcLCwoL09HR8fHzy7FJ64MABEhMTOXnypLIQ/9q1a6lQoQIRERF06tSpwLoNDAweu+mBsbFxgXni4uLw9vZWplGvWLECALVazYgRI1i1alWJ/4UotOXGmxC6IjEndE1iTuiSxJvQtdISc9IpJZ47lUrF9u3b8fLyAh7u/BcTE1OsbUpMTKRGjRqcPHmSxo0bP9e6H2y2AmP1c61TiDwGaHjw4AEnT55k0aJFdOvWjU6dOml1SmVmZqJSqTA0NFTSjIyM0NPTIzo6utBOqQsXLlC5cmWMjIxo06YNgYGBedab27hxIxs2bMDW1pYePXowadIkZbRU7uisIUOGsHv3bmUE1+zZs3Fzc6N58+bP82kIHciNtyZNmuQ7ck6I501iTuiaxJzQJYk3oWulJeaKfaFzUfrcuHGDDz74gGrVqmFoaIitrS2enp4cOHCguJtWoKpVq3Lt2jUaNGhQ3E0R4pmEh4dz8uRJAgMD85xr3bo1JiYmjB8/nrt375KRkcG4cePIzs7m2rVrBdbZqlUr1qxZQ3h4OMuWLePy5cu0a9eOO3fuKHkGDBjAhg0b2L9/PxMnTmT9+vVaO5tMmDABAwMDatasyfbt2wkKCuLChQusXbuWSZMmMWLECBwdHenXrx+pqanP96GIF6akbyEsXj4Sc0LXJOaELkm8CV0rDTEnnVLiifXp04eTJ0+ydu1azp8/z65du3Bzc+PWrVvF3bQC6evrY2trW6J7iIV4nD/++IMFCxawbt06rd0rc1lbW7Nlyxa+//57TE1NMTc3JyUlhaZNmxa6nlSXLl3o27cvjRo1wtPTkx9//JGUlBQ2b96s5Bk2bBienp40bNgQHx8f1q1bx/bt20lISADA3NyckJAQrly5QlRUFPXq1WP48OHMmTOHjRs3cunSJeLj4zE2NtZal0oIIYQQQohHBQYG0qJFC8zMzLCxscHLy4v4+PhCy7i5uaFSqfK8unXrpuSZMmUKdevWxcTEhAoVKtCpUyeOHDnyom9HPIZ0SoknkpKSwq+//sqXX35Jhw4dqF69Oi1btmTixIn07Nkz3zJnzpyhY8eOlCtXDktLS4YNG0Z6ejoAe/bswcjIiJSUFK0yo0ePpmPHjspxdHQ07dq1o1y5clStWpUPP/yQjIwM5byDgwNffPEF77//PmZmZlSrVk1Z0wYeTt9TqVTExsYCD3uMBw8eTI0aNShXrhx16tThq6++ek5PSYgX48SJE/zzzz+0bNkSAwMDDAwMiIqKYtGiRRgYGJCdnY2HhwcJCQkkJydz8+ZN1q9fz9WrV3F0dCzydSwsLHBycuLixYsF5mnVqhVAgXmCg4OxsLCgV69eREZG4uXlRZkyZejbt2++i1MKIYQQQggBEBUVhZ+fH4cPH2bv3r2o1Wo8PDy0Pv/917Zt27h27ZryOnv2LPr6+vTt21fJ4+TkxJIlSzhz5gzR0dE4ODjg4eHBjRs3dHFbogDSKSWeiKmpKaampuzYsYPMzMzH5s/IyMDT05MKFSpw7NgxtmzZws8//4y/vz8A7u7uWFhY8N133yllsrOz2bRpEz4+PgAkJCTQuXNn+vTpw+nTp9m0aRPR0dFKHbnmzZtH8+bNOXnyJCNHjuSDDz4osEc9JyeHKlWqsGXLFn7//Xc+//xzPv30U62RIUWlj6wnJXTjjTfe4OjRo5w8eZLY2FhiY2Np3rw5Pj4+xMbGai0kbmVlhYWFBRERESQnJxfYaZyf9PR0EhISsLOzKzBPbgdvfnlu3LjBtGnTWLx4MfDwPa1WP3yfqNXqUjGMWDwcYdqoUSNZoF7ojMSc0DWJOaFLEm9FFx4ejq+vL/Xr18fFxYU1a9aQlJRU6DrFFStWxNbWVnnt3bsXY2NjrU6pAQMG0KlTJxwdHalfvz7z588nLS2N06dP6+K2dK60xJx0SoknYmBgwJo1a1i7di0WFha4urry6aefFvhGDgkJ4f79+6xbt44GDRrQsWNHlixZwvr16/n777/R19fH29ubkJAQpcy+fftISUmhT58+wMPhmz4+PgQEBFC7dm3atm3LokWLWLduHffv31fKde3alZEjR1KrVi3Gjx+PlZUV+/fvz7ddZcqUYerUqTRv3pwaNWrg4+PDe++9V2inVGZmJmlpaVovIXTJzMyMJk2a0KBBA+VlYmKCpaWlsl5acHAwhw8fJiEhgQ0bNtC3b18++ugj6tSpo9Tj7u7OkiVLlONx48YRFRVFYmIiBw8epHfv3ujr69O/f3/gYcfw9OnTiYmJITExkV27djFw4EBef/11ZUHzRwUEBDB27Fjs7e0BcHV1Zf369cTFxbFixQpcXV1f5GMSz1HZsmWLuwniFSMxJ3RNYk7oksTb08ldj7RixYpFLhMUFIS3tzcmJib5ns/KymLFihWYm5vj4uLyXNpZEpWGmJMFdsQT69OnD926dePXX3/l8OHD/PTTT8yePZtVq1bh6+urlTcuLg4XFxetHwaurq7k5OQQHx9PpUqV8PHxoXXr1vz1119UrlyZjRs30q1bN2X7ylOnTnH69Gk2btyo1KHRaMjJyeHy5cs4OzsDaH04VqlU/8fevcflfP4PHH/dHZTSQTlUSELlGHNMM4eZnIUxzGhOQ9nMabMxNtsaC9swp92K0QzDfLEmh5xjIvRdkmSNFWMqJXXr/vz+8HN/3TosqVvxfj4en8djn+tzXdfn+nz2vtN9dR1wcHDg+vXrBT7H0qVLWb16NUlJSWRlZZGTk1PoznyBgYF8/PHHedK/qh+PmbVtIW9MiBJw+gYqbS41bsRxtYo7itH9v3gkZWjQXM/ii9M3AAg7eJqoae+RlZaKrVMt2vpNosrr43TXAU7FxqOql0TG/6eFn0tg5ZrXuJN2C8vK9rg0a4OfehfqKyq4coPUlAw2bvuFwAWL0GTdwaa6E4069aTT6Ml69QJcOLqPg2fP02jyIt21nBcHk7PnCM1btaZmoxd4YUpAnnKi7Mkv3oQoTRJzwtAk5oQhSbwVzfvNq+ida7VaJk2ahLe3d5E3rTpx4gQxMTGo1eo813bs2MHgwYO5c+cOjo6OhIeHU6VKlXxqKf9yc3M5efIkLVu2LNNrK5fdlokyzdzcnFdeeYVXXnmFWbNmMXr0aGbPnp2nU6ooWrVqRd26ddmwYQPjx49n69athISE6K5nZGTw1ltv8fbbb+cp+/CW9aampnrXVCoVWq0233tu2LCBqVOnsmDBAry8vLCysuLLL78sdKG7GTNmMHnyZN15eno6tWrVKupjClEqxq76We+829sf0e3tjwot897OU3rnQ75YVWh+W4cajP1ue5Ha49auM27tOuulVahowdB5eX8pEEIIIYQQojD+/v7ExMRw+PDhIpdRq9U0adKE1q1b57nWqVMnoqOjuXHjBqtWrWLQoEEcP36catWqlWSzxWOQTilRIho2bMi2bdvypDdo0ICQkBAyMzN1o6WOHDmCkZGR3nSi119/nfXr11OzZk2MjIz0dkl44YUX+P3336lXr16JtffIkSO0a9eOCRMm6NIe7CJWEDMzM8zMzEqsDUIIIYQQQggh8hcQEMCOHTs4ePAgNWvWLFKZzMxMNmzYUOBuz5aWltSrV4969erRtm1b6tevj1qtZsaMGSXZdPEYZE0p8Vhu3rxJ586dWbduHWfPniUxMZFNmzYxf/58+vbtmyf/66+/jrm5OSNGjCAmJob9+/czceJE3njjDapXr66X79SpU3z22We8+uqrep0/7733HkePHiUgIIDo6Gji4+P5+eef8yx0/jjq16/PyZMn+fXXX7lw4QKzZs3it99+K3Z9QgghhBBCCCGenKIoBAQEsHXrVvbt20edOnWKXHbTpk1kZ2czbNiwIuXXarVF2sBLlB4ZKSUeS6VKlWjTpg2LFi0iISEBjUZDrVq1GDNmDB988EGe/BYWFvz666+88847tGrVCgsLCwYMGMDChQv18tWrV4/WrVtz4sQJvvrqK71rTZs25cCBA3z44Ye0b98eRVGoW7cur732WrGf46233uL06dO89tprqFQqhgwZwoQJE/jll18euy5FJX27wjAUldH9dQgk5oQBSLwJQ5OYE4YmMScMSeKt6Pz9/QkNDeXnn3/GysqKlJQUAGxsbKhYsSIAw4cPp0aNGgQGBuqVVavV+Pr6Ym9vr5eemZnJZ599Rp8+fXB0dOTGjRssXbqUq1ev6u3Q9ywxNjamZcuWZX73PZWiKMrTboQQ5VF6ejo2NjakpqZiY2PztJsjngOKopCVlcW8efPyDEl2d3fn/PnzANy9e5cpU6awYcMGsrOz8fHx4dtvv9UbnZhf3bNnz2bVqlWkpqbi7e3NsmXLqF+/vi7PP//8w8SJE/nPf/6DkZERAwYM4Ouvv6ZSpUoAXL58meHDhxMVFUWLFi1Yu3YtLi4uuvK9evXizTff1O2sKcq2B/FWsWJFVCrV026OeA5IzAlDk5gThiTxVnQFvZ/g4GDdGsYdO3bExcVFby3iuLg4PDw82L17N6+88ope2bt37zJ06FCOHz/OjRs3sLe3p1WrVsycOZNWrVqV1qM8VU875h58X05LS8Pa2rrAfNJNK8QTys3NfdpNEM+J3Nxczp49i6IoNGrUiOTkZN3x8OKP7777Lv/5z3/YtGkTBw4c4K+//qJ///6F1j1//ny++eYbli9fzvHjx7G0tMTHx4e7d+/q8rz++uv897//JTw8XDe/f+zYsbrrU6ZMoUaNGkRHR+Po6MjUqVN113788UddR5YoHx7Em/yME4YiMScMTWJOGJLEW9EpipLv8fCmWhEREXodUnD/j7SKouTpkIL7G3Vt2bKFq1evkp2dzV9//cXPP//8zHZIQfmJOZm+J4QQ5ZCJiQkODg550tPS0lCr1YSGhtK58/1d8IKDg2nQoAGRkZG0bds2TxlFUfjqq6+YOXOmbm24tWvXUr16dbZt28bgwYOJjY0lLCyM3377jZYtWwKwePFievToQVBQEE5OTsTGxrJw4ULq16+Pn5+frlMqNTWVmTNnsm/fvtJ6HUIIIYQQQohySDqlhHhSWxzAQvO0WyGeCxXA9QAA8fHxODk5YW5ujpeXF4GBgTg7OxMVFYVGo6FLly66Uh4eHjg7O3Ps2LF8O6USExNJSUnRK2NjY0ObNm04duwYgwcP5tixY9ja2uo6pAC6dOmCkZERx48fp1+/fnh6erJnzx66du3K7t27adq0KQDTpk3D39+fWrVqldaLEUIIIYQQQpRDMn1PlLqUlBQmTpyIq6srZmZm1KpVi969e7N3796n3TQhyh1jY2Nat25NSEgIYWFhLFu2jMTERNq3b8/t27dJSUmhQoUK2Nra6pWrXr26bpHIRz1If3TNqYfLpKSkUK1aNb3rJiYm2NnZ6fIEBQVx/vx5XFxciI+PJygoiIMHDxIdHc3w4cMZNGgQrq6ujBs3jpycnJJ4HaKUlfWFMcWzR2JOGJrEnDAkiTdhaOUh5qRTSpSqy5cv06JFC/bt28eXX37JuXPnCAsLo1OnTvj7+5fafQ35hdcEGSUlDMOEHFq1akWvXr0YOHAgTZs2xcfHh127dpGamsrGjRufavtq1KjBjh07SEpKYseOHVSpUoUJEyawfPlyPv30U6ysrIiLiyM+Pp4VK1Y81baKf2diYkKrVq0wMZFB1cIwJOaEoUnMCUOSeCu6wMBAWrVqhZWVFdWqVcPX15e4uLhCy3Ts2BGVSpXn6Nmzpy7PnDlz8PDwwNLSksqVK9OlSxeOHz9e2o/z1JSXmJNOKVGqJkyYgEql4sSJEwwYMAA3NzcaNWrE5MmTiYyMZOTIkfTq1UuvjEajoVq1aqjVauD+D5iAgAACAgKwsbGhSpUqzJo1i4c3jnRxcWHu3LkMHz4ca2trxo4dS0REBCqVitTUVF2+6OhoVCoVly9fBuCPP/6gd+/eVK5cGUtLSxo1asSuXbse6xkVZPcMYRgKRqSmpvLopqm2tra4ublx8eJFHBwcyMnJ0Yt7gGvXruW7BhWgS7927VqBZRwcHLh+/bre9Xv37vHPP/8UWO/nn39O165dadGiBREREQwYMABTU1P69+9PREREUR9bPCWKouQbb0KUFok5YWgSc8KQJN6K7sCBA/j7+xMZGUl4eDgajYauXbuSmZlZYJktW7bobQIUExODsbExAwcO1OVxc3NjyZIlnDt3jsOHD+Pi4kLXrl35+++/DfFYBldeYk46pUSp+eeffwgLC8Pf3x9LS8s8121tbRk9ejRhYWEkJyfr0nfs2MGdO3d47bXXdGlr1qzBxMSEEydO8PXXX7Nw4UK+++47vfqCgoLw9PTk9OnTzJo1q0ht9Pf3Jzs7m4MHD3Lu3DnmzZun296+qHJlaTZhILmYcP78+Tw7aGRkZJCQkICjoyMtWrTA1NRUb3psXFwcSUlJeHl55VtvnTp1cHBw0CuTnp7O8ePHdWW8vLxITU0lKipKl2ffvn1otVratGmTp87Y2FhCQ0OZO3fu/bbn5qLR3B9VqNFoyvwuIOL+/7P84k2I0iIxJwxNYk4YksRb0YWFheHn50ejRo3w9PQkJCSEpKQkvd9DH2VnZ4eDg4PuCA8Px8LCQq9TaujQoXTp0gVXV1caNWrEwoULSU9P5+zZs4Z4LIMrLzEn36ZFqbl48SKKouDh4VFgnnbt2uHu7s7333/P9OnTgfs7hQ0cOFCvc6hWrVosWrQIlUqFu7s7586dY9GiRYwZM0aXp3PnzkyZMkV3/ueff/5rG5OSkhgwYABNmjQBwNXVtcC82dnZZGdn687T09P/tX4hSsP06dPp27cvtWvX5q+//mL27NkYGxszZMgQbGxsGDVqFJMnT8bOzg5ra2smTpyIl5eX3iLnHh4eBAYG0q9fP1QqFZMmTeLTTz+lfv361KlTh1mzZuHk5ISvry8ADRo0oFu3bowZM4bly5ej0WgICAhg8ODBODk56bVPURTGjh3LokWLdB3S3t7erFq1Cjc3N9auXcuQIUMM9r6EEEIIIUT5lZaWBtzveCoqtVrN4MGD8x0cAfeXe1m5ciU2NjZ4enqWSDtF8UinlCg1RR0mOHr0aFauXMn06dO5du0av/zyS56t49u2bYtK9b9pcl5eXixYsIDc3Fzd4m0P7wpWVG+//Tbjx49n9+7ddOnShQEDBuh2DHtUYGAgH3/8cZ70xfV/x8za9rHvLcTjUmlzqXEjjr0xl/ju+9e4k3YLy8r2uDRrg596F+orKrhyA6cRH+J0M5uevv25l5ODm1cn+s6Yxxenb+jqiouLI/TsFeJc7qcpr4zkhYS/eX3kaO7eTqd2szb0W/gDX8VmABkAtHrvG7bPe5/2nTqjMjKicedeuPt/rlcvwPHNa0g1syWmRlti/v+a3YCJ7P5gHM1btcatXWeyvF/LU06ULSptLjXScjhw5iaKUdlfJFOUfxJzwtAk5oQhSbwVzfvNq+ida7VaJk2ahLe3N40bNy5SHSdOnCAmJka3HMzDduzYweDBg7lz5w6Ojo6Eh4dTpUqVfGoRhiKdUqLU1K9fH5VKxfnz5wvNN3z4cN5//32OHTvG0aNHqVOnDu3bt3/s+z3aC25kdH926sOdYw+mDz0wevRofHx82LlzJ7t37yYwMJAFCxYwceLEPPXPmDGDyZMn687T09Pvb3GvkjWlhIGoVNwzMWPoFytRVAXPvjY1M6fvjPn0nTG/wDyBp/TnzqtUKl4Z/z6vjH+/wDIWNpUZ/Pm/L1De5tURtHl1hF5aJbuqjF7+07+WFWXI/8eb/IwTBiMxJwxNYk4YksRbsfj7+xMTE8Phw4eLXEatVtOkSRNat26d51qnTp2Ijo7mxo0brFq1ikGDBnH8+PE8u0w/C1QqFRUrVtQb3FEWyZpSotTY2dnh4+PD0qVL812U7sFCzPb29vj6+hIcHExISAhvvvlmnryP7ooQGRlJ/fr1C93ismrVqgB661VFR0fnyVerVi3GjRvHli1bmDJlCqtWrcq3PjMzM6ytrfUOoNDOASFKkqIyIsWursScMAiJN2FoEnPC0CTmhCFJvD2+gIAAduzYwf79+6lZs2aRymRmZrJhwwZGjRqV73VLS0vq1atH27ZtUavVmJiY5Dui6llgbGyMp6dnod+ZywL5RIhStXTpUnJzc2ndujU//fQT8fHxxMbG8s033+gtujx69GjWrFlDbGwsI0aMyFNPUlISkydPJi4ujh9++IHFixfzzjvvFHrvevXqUatWLebMmUN8fDw7d+5kwYIFenkmTZrEr7/+SmJiIqdOnWL//v00aNDg8R6yjO9mIJ4hioJl1i2JOWEYEm/C0CTmhKFJzAlDkngrMkVRCAgIYOvWrezbt486deoUueymTZvIzs5m2LBhRcqv1Wr11g1+lmi1Wq5fv45Wq33aTSmUTN8TpcrV1ZVTp07x2WefMWXKFJKTk6latSotWrRg2bJlunxdunTB0dGRRo0a5Vk0Ge5P8cvKyqJ169YYGxvzzjvvMHbs2ELvbWpqyg8//MD48eNp2rQprVq14tNPP9XbgSE3Nxd/f3+uXLmCtbU13bp1Y9GiRY/1jCqlbH/IxbNDpWipfDuZO2bWKKqy/RcPUf5JvAlDk5gThiYxJwxJ4q3o/P39CQ0N5eeff8bKyoqUlBQAbGxsqFixInD/+2GNGjUIDAzUK6tWq/H19cXe3l4vPTMzk88++4w+ffrg6OjIjRs3WLp0KVevXtX7fvgs0Wq1XLp0CTs7O93SNmWSIkQZcPv2bcXa2lr56aef8lzr0KGD8s477xi+Uf8iLS1NAZSbN28+7aaI54RGo1GOHTumaDQaZfbs2Qqgd7i7u+vyZmVlKRMmTFDs7OwUS0tLpX///kpKSkqBdefk5CjTp09XGjdurFhYWCiOjo7KG2+8oVy9elWXJzExURk5cqTi4uKimJubK66urspHH32kZGdn6+Vp3769YmFhobRv315JTEzUu0/Pnj2VzZs3l9xLEaXm4XgTwhAk5oShScwJQ5J4K7pHf8d9cAQHB+vydOjQQRkxYoReufPnzyuAsnv37jx1ZmVlKf369VOcnJyUChUqKI6OjkqfPn2UEydOlPLTPD1PO+YefF9OS0srNJ+MlBJPlVar5caNGyxYsABbW1v69OnztJskRLnRqFEj9uzZozs3Mfnfj/R3332XnTt3smnTJmxsbAgICKB///4cOXIk37ru3LnDqVOnmDVrFp6enty6dYt33nmHPn36cPLkSQDOnz+PVqtlxYoV1KtXj5iYGMaMGUNmZiZBQUEATJkyhRo1aqBWq5k5cyZTp05l8+bNAPz4448YGRkxYMCA0nolQgghhBCinFOKMMUxIiIiT5q7u3uBZc3NzdmyZcuTNk2UAumUEk9VUlISderUoWbNmoSEhOh9qS4vyvpuBuLZoVKpsLGx0cWciYkJDg4OefKlpaWhVqsJDQ2lc+fOAAQHB9OgQQMiIyNp27ZtnjI2NjaEh4frpS1ZsoTWrVuTlJSEs7Mz3bp1o1u3brrrrq6uxMXFsWzZMl2nVGxsLAsXLqR+/fr4+fkxdepU4P7GBjNnzmTfvn0l8zJEqXs03oQobRJzwtAk5oQhSbwJQysvMVf+egDEM2XOnDn07duXbdu2FZjn0V5wFxcXJk2axKRJk0q1bUVl/JMdWDztVojngTHQYOj//voTHx+Pk5MT5ubmeHl5ERgYiLOzM1FRUWg0Grp06aLL6+HhgbOzM8eOHcu3Uyo/aWlpqFQqbG1tC81jZ2enO/f09GTPnj107dqV3bt307RpUwCmTZuGv78/tWrVeryHFk+NsbHx42/8IMQTkJgThiYxJwxJ4k0YWnmJuTK82pUo6/z8/FCpVLrD3t6ebt26cfbs2VK972+//favi5wbklY+RsJAtBhz5coVtFotbdq0ISQkhLCwMJYtW0ZiYiLt27fn9u3bpKSkUKFChTydSdWrV9ctFPlv7t69y3vvvceQIUOwtrbON8/FixdZvHgxb731li4tKCiI8+fP4+LiQnx8PEFBQRw8eJDo6GiGDx/OoEGDcHV1Zdy4ceTk5BT7XYjSp9VqdfEmhCFIzAlDk5gThiTxJgytvMScfJsWT6Rbt24kJyeTnJzM3r17MTExoVevXqV6z6pVq2JhUXaGJmmR3TOEYTzcKdW9e3cGDhxI06ZN8fHxYdeuXaSmprJx48Ynvo9Go2HQoEEoiqK3S+bDrl69Srdu3Rg4cCBjxozRpdeoUYMdO3aQlJTEjh07qFKlChMmTGD58uV8+umnWFlZERcXR3x8PCtWrHjitorSU15+kRHPDok5YWgSc8KQJN4eX2BgIK1atcLKyopq1arh6+tLXFxcoWU6duyoN3DiwdGzZ898848bNw6VSsVXX31VCk/wdJWXmJNOKfFEzMzMcHBwwMHBgWbNmvH+++/z559/8vfffwPw559/MmjQIGxtbbGzs6Nv375cvny5wPpu377N66+/jqWlJY6OjixatIiOHTvqTdVzcXHR/dC4fPkyKpWK6Oho3fXU1FRUKpVu2l9ERAQqlYpff/2V5s2bU7FiRTp37sz169f55ZdfaNCgAdbW1gwdOpQ7d+6U8BsSwjBsbW1xc3Pj4sWLODg4kJOTQ2pqql6ea9eu5bsG1cMedEj98ccfhIeH5ztK6q+//qJTp060a9eOlStXFlrf559/TteuXWnRogUREREMGDAAU1NT+vfvn+8ClUIIIYQQQgAcOHAAf39/IiMjCQ8PR6PR0LVrVzIzMwsss2XLFt2gieTkZGJiYjA2NmbgwIF58m7dupXIyEicnJxK8zHEv5BOKVFiMjIyWLduHfXq1cPe3h6NRoOPjw9WVlYcOnSII0eOUKlSJbp161bgtJ3Jkydz5MgRtm/fTnh4OIcOHeLUqVMl0r45c+awZMkSjh49quss++qrrwgNDWXnzp3s3r2bxYsXl8i9hDC0jIwMEhIScHR0pEWLFpiamrJ3717d9bi4OJKSkvDy8iqwjgcdUvHx8ezZswd7e/s8ea5evUrHjh1p0aIFwcHBGBkV/M9IbGwsoaGhzJ07F4Dc3Fw0Go3uXrm5ucV9XCGEEEII8YwLCwvDz8+PRo0a4enpSUhICElJSURFRRVYxs7OTjdowsHBgfDwcCwsLPJ0Sl29epWJEyeyfv16TE1NS/tRRCFkoXPxRHbs2EGlSpUAyMzMxNHRkR07dmBkZERoaCharZbvvvtOt+J/cHAwtra2RERE0LVrV726bt++zZo1awgNDeXll1/W5S+pnutPP/0Ub29vAEaNGsWMGTNISEjA1dUVgFdffZX9+/fz3nvv5Vs+Ozub7Oxs3Xl6ejoARpTt4ZDi2WGElqpVq2JkZMTUqVPp3bs3tWvX5q+//mL27NkYGxszZMgQbGxsGDVqFJMnT8bOzg5ra2smTpyIl5eX3iLnHh4eBAYG0q9fPzQaDa+++iqnTp1ix44d5Obm6tafsrOzo0KFCroOqdq1axMUFKQbEQnkGYGlKApjx45l0aJFWFpaAuDt7c2qVatwc3Nj7dq1DBkyxABvTRSXkZGRLt6EMASJOWFoEnPCkCTenlxaWhqA3iY7/0atVjN48GDd76Nwf1rbG2+8wbRp02jUqFGJt7OsKC8xJ51S4ol06tRJt+bMrVu3+Pbbb+nevTsnTpzgzJkzXLx4ESsrK70yd+/eJSEhIU9dly5dQqPR0Lp1a12ajY0N7u7uJdLWB7uAwf0Fny0sLHQdUg/STpw4UWD5wMBAPv744zzpX7nHY17JKp8SQpSCdODMP4SfS2Dlmte4k3YLy8r2uDRrg596F+orKrhyA6cRH+J0M5uevv25l5ODm1cn+s6Yxxenb+iqiouLI/TsFeJcbnDrryS2b98OQLNmzfRuOWblNlxbehO1fQsXL17k4sWL1KxZUy9P4Km/9c6Pb15DqpktMTXaEvP/97QbMJHdH4yjeavWuLXrTJb3a3rtEWWRDZz552k3QjxXJOaEoUnMCUOSeCuq95tX0TvXarVMmjQJb29vGjduXKQ6Tpw4QUxMDGq1Wi993rx5mJiY8Pbbb5dYe8siIyMj6tat+7Sb8a+kU0o8EUtLS+rVq6c7/+6777CxsWHVqlVkZGTQokUL1q9fn6dc1apVS+T+D3p9FUXRpT2YHvSoh4dlqlSqPMM0VSpVoYvAzZgxg8mTJ+vO09PT729vr8hIKWEgipbKGSncquTAkC9WFZrV1MycvjPm03fG/ALzPNyRVNnJOU/H0qNa9BlCiz5FG93U5tURtHl1hF5aJbuqjF7+U5HKizLgoXhDVbb/wiaeERJzwtAk5oQhSbw9EX9/f2JiYjh8+HCRy6jVapo0aaI36CEqKoqvv/6aU6dO6WbzPKu0Wi2JiYnUqVOnTI+WKrstE+WSSqXCyMiIrKwsXnjhBeLj46lWrRr16tXTO2xsbPKUdXV1xdTUlN9++02XlpaWxoULFwq834POreTkZF3aw4uelyQzMzOsra31DgDVQx1iQpQmlaJgmZUqMScMQuJNGJrEnDA0iTlhSBJvxRcQEMCOHTvYv39/ntH6BcnMzGTDhg2MGjVKL/3QoUNcv34dZ2dnTExMMDEx4Y8//mDKlCm4uLiUQuufHq1Wy99//13md9+TkVLiiWRnZ+vWnbl16xZLliwhIyOD3r1707p1a7788kv69u3LJ598Qs2aNfnjjz/YsmUL06dPz/MDxcrKihEjRjBt2jTs7OyoVq0as2fPxsjIqMBe7IoVK9K2bVu++OIL6tSpw/Xr15k5c2apP7cQQgghhBBCiNKjKAoTJ05k69atREREUKdOnSKX3bRpE9nZ2QwbNkwv/Y033qBLly56aT4+Przxxhu8+eabJdJu8XikU0o8kbCwMBwdHYH7nUoeHh5s2rSJjh07AnDw4EHee+89+vfvz+3bt6lRowYvv/xyvtvMAyxcuJBx48bRq1cvrK2tmT59On/++Sfm5uYFtmH16tWMGjWKFi1a4O7uzvz58/Msoi6EEEIIIYQQovzw9/cnNDSUn3/+GSsrK91gCBsbGypWrAjA8OHDqVGjBoGBgXpl1Wo1vr6+eXaTtre3z5NmamqKg4NDia1lLB6TIkQZlpGRodjY2Cjffffd025KHmlpaQqg3Lp162k3RTwncnNzlT///FPJzc1VZs+erQB6h7u7uy5vVlaWMmHCBMXOzk6xtLRU+vfvr6SkpBT5Xm+99ZYCKIsWLdKl7d+/P889HxwnTpxQFEVREhMTlfbt2ysWFhZK+/btlcTERL16e/bsqWzevPmJ3oMwjIfjTQhDkJgThiYxJwxJ4u3xFfR7Z3BwsC5Phw4dlBEjRuiVO3/+vAIou3fvLtJ9ateurfc777Piacfcg+/LaWlpheaTkVKiTDl9+jTnz5+ndevWpKWl8cknnwDQt2/fp9yygpXlRePEs8XIyEhv2mujRo3Ys2eP7tzE5H8/0t9991127tzJpk2bsLGxISAggP79+3PkyJF/vc/WrVuJjIzEyclJL71du3Z667cBzJo1i71799KyZUsApkyZQo0aNVCr1cycOZOpU6eyefNmAH788UeMjIwYMGDA4z+8MLhH402I0iYxJwxNYk4YksTb41OKsP5WREREnjR3d/cilX3g8uXLj9Gq8qO8xJx8mxZlTlBQEJ6ennTp0oXMzEwOHTpElSpV/r3gU5Kbm/u0myCeE7m5ucTGxupizsTEBAcHB93x4HOSlpaGWq1m4cKFdO7cmRYtWhAcHMzRo0eJjIws9B5Xr15l4sSJrF+/Ps8OlRUqVNC7n729PT///DNvvvmmbt232NhYRowYQf369fHz8yM2NhaA1NRUZs6cydKlS0v6tYhS8mi8CVHaJOaEoUnMCUOSeBOGVl5iTkZKiTKlefPmREVF6c5DQkJo3749qamppXrfy5cvU6dOHU6fPk2zZs0eq6zyU3Ww0JROw4R4iEIF0symodSfA0B8fDxOTk6Ym5vj5eVFYGAgzs7OREVFodFo9BZx9PDwwNnZmWPHjtG2bdt869dqtbzxxhtMmzaNRo0a/Wt7tm/fzs2bN/UWhfT09GTPnj107dqV3bt307RpUwCmTZuGv78/tWrVeoI3IAxJURTS0tIe6y+NQjwJiTlhaBJzwpAk3oShlZeYk5FSotT5+fmhUqlQqVRUqFCBevXq8cknn3Dv3r2n3TQhyq02bdoQEhJCWFgYy5YtIzExkfbt23P79m1SUlKoUKECtra2emWqV6+uWyAyP/PmzcPExIS33367SG1Qq9X4+PjoDQsOCgri/PnzuLi4EB8fT1BQEAcPHiQ6Oprhw4czaNAgXF1dGTduHDk5OcV6diGEEEIIIcSzQTqlhEF069aN5ORk4uPjmTJlCnPmzOHLL7982s0Sotzq3r07AwcOpGnTpvj4+LBr1y5SU1PZuHFjseqLiori66+/JiQkRDcVrzBXrlzh119/ZdSoUXrpNWrUYMeOHSQlJbFjxw6qVKnChAkTWL58OZ9++ilWVlbExcURHx/PihUritVWIYQQQgjxfAsMDKRVq1ZYWVlRrVo1fH19iYuLK7RMx44ddYMlHj569uyply82NpY+ffpgY2ODpaUlrVq1IikpqTQf57kmnVLCIMzMzHBwcKB27dqMHz+eLl26sH37dm7dusXw4cOpXLkyFhYWdO/enfj4+ALrSUhIoG/fvlSvXp1KlSrRqlUrvYWeAVxcXPj8888ZOXIkVlZWODs7s3LlSr08J06coHnz5pibm9OyZUtOnz5d7GczQkZ8CcMw4h6u93bmu7i+ra0tbm5uXLx4EQcHB3JycvJMe7127RoODg751n3o0CGuX7+Os7MzJiYmmJiY8McffzBlyhRcXFzy5A8ODsbe3p4+ffoU2ubPP/+crl270qJFCyIiIhgwYACmpqb0798/34UpRdlhZGSEq6urbOYgDEZiThiaxJwwJIm3knXgwAH8/f2JjIwkPDwcjUZD165dyczMLLDMli1bSE5O1h0xMTEYGxszcOBAXZ6EhARefPFFPDw8iIiI4OzZs8yaNQtzc3NDPFaJKi8xJ2tKiaeiYsWK3Lx5Ez8/P+Lj49m+fTvW1ta899579OjRg99//z3PIssAGRkZ9OjRg88++wwzMzPWrl1L7969iYuLw9nZWZdvwYIFzJ07lw8++IDNmzczfvx4OnTogLu7OxkZGfTq1YtXXnmFdevWkZiYyDvvvFPsZzGibM/RFc8OI7RUy42GfP5hycjIICEhgTfeeIMWLVpgamrK3r17dTvdxcXFkZSUhJeXV751v/HGG3prUAH4+Pjwxhtv6K0ZBffnpwcHBzN8+PB8P6cPxMbGEhoaSnR0NHB/sUWN5v76axqNpswvuvi8MzIyolq1ak+7GeI5IjEnDE1iThiSxFvJCgsL0zsPCQmhWrVqREVF8dJLL+Vbxs7OTu98w4YNWFhY6HVKffjhh/To0YP58+fr0urWrVuCLTec8hJzZbvLTDxzFEVhz549/Prrrzg7O7N9+3a+++472rdvj6enJ+vXr+fq1ats27Yt3/Kenp689dZbNG7cmPr16zN37lzq1q3L9u3b9fL16NGDCRMmUK9ePd577z2qVKnC/v37AQgNDUWr1aJWq2nUqBG9evVi2rRp/9r27Oxs0tPT9Q6AXOnbFQaSiylnKrxFbm4uU6dO5cCBA1y+fJmjR4/Sr18/jI2NGTJkCDY2NowaNYrJkyezf/9+oqKiePPNN/Hy8tJb5NzDw4OtW7cCYG9vT+PGjfUOU1NTHBwccHd312vHvn37SExMZPTo0QW2VVEUxo4dy6JFi7C0tATA29ubVatWERsby9q1a/H29i6FtyRKSm5uLmfOnJHOQ2EwEnPC0CTmhCFJvJWutLQ0IG/HU2HUajWDBw/W/a6q1WrZuXMnbm5u+Pj4UK1aNdq0aVPgd9OyrrzEnHybFgaxY8cOKlWqhEajQavVMnToUPr378+OHTto06aNLp+9vT3u7u66beQflZGRwZw5c9i5cyfJycncu3ePrKysPHN8H+z4BaBSqXBwcOD69evA/dEbTZs21RuCWdDokYcFBgby8ccf50n/pn4sZta2/1peiCel0uZS40YcYdE3CD+XwMo1r3En7RaWle1xadYGP/Uu1FdUcOUGTiM+xOlmNj19+3MvJwc3r070nTGPL07f0NUXFxdH6NkrxLncyPd+aTla9lzJ4O5p/esbgr6ltmcrtmVVgdP5lz2+eQ2pZrbE1GhLzP/nsRswkd0fjKN5q9a4tetMlvdreu0RZcv9eEsj7N4NFCPjp90c8RyQmBOGJjEnDEnireS837yK3rlWq2XSpEl4e3vTuHHjItVx4sQJYmJiUKvVurTr16+TkZHBF198waeffsq8efMICwujf//+7N+/nw4dOpToc5Q2RVHIysoq87vvSaeUMIhOnTqxbNkyKlSogJOTEyYmJnlGNxXF1KlTCQ8PJygoiHr16lGxYkVeffXVPLt4PTqlSKVSodVqn+gZZsyYweTJk3Xn6enpsr29eGqGfLGq0OumZub0nTGfvjPmF5gn8NTfhdbx3s5T+aYP/vzfFyhv8+oI2rw6Qi+tkl1VRi//6V/LCiGEEEIIUVT+/v7ExMRw+PDhIpdRq9U0adKE1q1b69IefF/s27cv7777LgDNmjXj6NGjLF++vNx1SpUXMn1PGISlpSX16tXTLaIM0KBBA+7du8fx48d1+W7evElcXBwNGzbMt54jR47g5+dHv379aNKkCQ4ODly+fPmx2tKgQQPOnj3L3bt3dWmRkZH/Ws7MzAxra2u9QwghhBBCCCHE0xEQEMCOHTvYv38/NWvWLFKZzMxMNmzYkGcX6SpVqmBiYpLnu2iDBg1k971SJJ1S4qmpX78+ffv2ZcyYMRw+fJgzZ84wbNgwatSoQd++fQsss2XLFqKjozlz5gxDhw597BFQQ4cORaVSMWbMGH7//Xd27dpFUFBQsZ9DUcnHSBiGojLihq2zxJwwCIk3YWgSc8LQJOaEIUm8lSxFUQgICGDr1q3s27ePOnXqFLnspk2byM7OZtiwYXrpFSpUoFWrVsTFxemlX7hwgdq1a5dIuw3J2NgYDw8PjI3L9nRR+USIpyo4OJgWLVrQq1cvvLy8UBSFXbt2Fbij18KFC6lcuTLt2rWjd+/e+Pj48MILLzzWPStVqsR//vMfzp07R/Pmzfnwww+ZN29e8R9CpSp+WSEeh0rF3QqVJOaEYUi8CUOTmBOGJjEnDEnirUT5+/uzbt06QkNDsbKyIiUlhZSUFLKysnR5hg8fzowZM/KUVavV+Pr6Ym9vn+fatGnT+PHHH1m1ahUXL15kyZIl/Oc//2HChAml+jylQaVSYWtri6qsx5wihCiWtLQ0BVBu3rz5tJsinhMajUY5ceKEotFoFEVRlNmzZyuA3uHu7q7Ln5WVpUyYMEGxs7NTLC0tlf79+yspKSmF3uPR+h4c8+fP1+W5efOmMnToUMXKykqxsbFRRo4cqdy+fVt3PTExUWnfvr1iYWGhtG/fXklMTNS7R8+ePZXNmzeXwBsRpenReBOitEnMCUOTmBOGJPFWsgr6nTU4OFiXp0OHDsqIESP0yp0/f14BlN27dxdYt1qtVurVq6eYm5srnp6eyrZt20rpKUrX0465B9+X09LSCs0nC50LIUQ58uiWro0aNWLPnj268wdrtgG8++677Ny5k02bNmFjY0NAQAD9+/fnyJEjBdafnJysd/7LL78watQoBgwYoEt7/fXXSU5OJjw8HI1Gw5tvvsnYsWMJDQ0FYMqUKdSoUQO1Ws3MmTOZOnUqmzdvBuDHH3/EyMhIrz5RdpX1LYTFs0diThiaxJwwJIm3kqMUYUe5iIiIPGnu7u7/WnbkyJGMHDmyuE0rU8pDzEmnlBBClGMmJiY4ODjkSU9LS0OtVhMaGkrnzp2B+9NlGzRoQGRkJG3bts23vkfr+vnnn+nUqROurq4AxMbGEhYWxm+//UbLli0BWLx4MT169CAoKAgnJydiY2NZuHAh9evXx8/Pj6lTpwKQmprKzJkz2bdvX4k9vxBCCCGEEKL8kk4p8VyYM2cO27ZtIzo6uuQr3+IAFpqSr1eIPCqA2TS41AGGZgMQHx+Pk5MT5ubmeHl5ERgYiLOzM1FRUWg0Grp06aIr7eHhgbOzM8eOHSuwU+ph165dY+fOnaxZs0aXduzYMWxtbXUdUgBdunTByMiI48eP069fPzw9PdmzZw9du3Zl9+7dNG3aFLg/R9/f359atWqV1AsRQgghhBBClGOy0Ll46v7++2/Gjx+Ps7MzZmZmODg44OPjU+gUo8c1depU9u7dW2L1PcwY6ZAShmGMhqY5K3Qx16ZNG0JCQggLC2PZsmUkJibSvn17bt++TUpKChUqVMDW1lavjurVq5OSklKk+61ZswYrKyv69++vS0tJSaFatWp6+UxMTLCzs9PVGxQUxPnz53FxcSE+Pp6goCAOHjxIdHQ0w4cPZ9CgQbi6ujJu3DhycnKe4I2I0mRsbEzTpk3L/I4t4tkhMScMTWJOGJLEmzC08hJz0iklnroBAwZw+vRp1qxZw4ULF9i+fTsdO3bk5s2bJXaPSpUq5bu7ghDli0IFJZ376zhC9+7dGThwIE2bNsXHx4ddu3aRmprKxo0bS+Ruq1ev5vXXX8fc3PyxytWoUYMdO3aQlJTEjh07qFKlChMmTGD58uV8+umnWFlZERcXR3x8PCtWrCiRtorSUaFChafdBPGckZgThiYxJwxJ4q3kBQYG0qpVK6ysrKhWrRq+vr7ExcUVWqZjx46oVKo8R8+ePXV58ruuUqn48ssvS/uRSlR5iDnplBJPVWpqKocOHWLevHl06tSJ2rVr07p1a2bMmEGfPn2A+z8Qli1bRvfu3alYsSKurq66RZMfeO+993Bzc8PCwgJXV1dmzZqFRvO/EUxz5syhWbNmunM/Pz98fX0JCgrC0dERe3t7/P399coUVS6mxXt4IR5TLhU4aTaNXPL/x8XW1hY3NzcuXryIg4MDOTk5pKam6uW5du1avmtQPerQoUPExcUxevRovXQHBweuX7+ul3bv3j3++eefAuv9/PPP6dq1Ky1atCAiIoIBAwZgampK//79812AUpQNubm5nDx5slwskCmeDRJzwtAk5oQhSbyVjgMHDuDv709kZKRuE56uXbuSmZlZYJktW7aQnJysO2JiYjA2NmbgwIG6PA9fT05OZvXq1ahUqnK1WU95iTlZU0o8VZUqVaJSpUps27aNtm3bYmZmlm++WbNm8cUXX/D111/z/fffM3jwYM6dO0eDBg0AsLKyIiQkBCcnJ86dO8eYMWOwsrJi+vTpBd57//79ODo6sn//fi5evMhrr71Gs2bNGDNmTKk8qxClLSMjg4SEBN544w1atGiBqakpe/fu1f3jGRcXR1JSEl5eXv9al1qtpkWLFnh6euqle3l5kZqaSlRUFC1atABg3759aLVa2rRpk6ee2NhYQkNDdeu55ebm6jp/NRpNmf9HUgghhBBClF1hYWF65yEhIVSrVo2oqCheeumlfMvY2dnpnW/YsAELCwu9Tql/2/xHlBwZKSWeKhMTE0JCQlizZg22trZ4e3vzwQcfcPbsWb18AwcOZPTo0bi5uTF37lxatmzJ4sWLdddnzpxJu3btcHFxoXfv3kydOvVfpzBVrlyZJUuW4OHhQa9evejZs2eh605lZ2eTnp6udwjxNE2dOpUDBw5w+fJljh49Sr9+/TA2NmbIkCHY2NgwatQoJk+ezP79+4mKiuLNN9/Ey8tLb5FzDw8Ptm7dqldveno6mzZtyjNKCqBBgwZ069aNMWPGcOLECY4cOUJAQACDBw/GyclJL6+iKIwdO5ZFixZhaWkJgLe3N6tWrSI2Npa1a9fi7e1dCm9GCCGEEEI8j9LS0oC8HU+FUavVDB48WPf76qMebP4zatSoEmmj0CcjpcRTN2DAAHr27MmhQ4eIjIzkl19+Yf78+Xz33Xf4+fkB5BnZ4eXlpbeT3o8//sg333xDQkICGRkZ3Lt3D2tr60Lv26hRI71F3xwdHTl37lyB+QMDA/n444/zpC+u/ztm1rb//qBCPCGVNpcaN+I44DIR5fQNws8lsHLNa9xJu4VlZXtcmrXBT70L9RUVXLmB04gPcbqZTU/f/tzLycHNqxN9Z8zji9M3dHXGxcURevYKcS7/Szvx01o0WoWUhl318j7Q6r1v2D7vfdp36ozKyIjGnXvh7v95nrzHN68h1cyWmBptifn/a3YDJrL7g3E0b9Uat3adyfJ+Ld97iKdPpc2lRloOB87cRDEq2wtkimeDxJwwNIk5YUgSbyXv/eZV9M61Wi2TJk3C29ubxo0bF6mOEydOEBMTg1qtLjBPfpv/iJKjUhRFedqNEOJRo0ePJjw8nD/++AOVSsWaNWsYPny47vq7775LdHQ0+/fv59ixY7Rv356PP/4YHx8fbGxs2LBhAwsWLNCtpzNnzhy2bdum68jy8/MjNTWVbdu26eqcNGkS0dHRBa5xk52dTXZ2tu48PT2dWrVqMftAAuZWhXeACVEiFAWVokVRGYFK9bRbI551Em/C0CTmhKFJzAlDkngrcY92So0fP55ffvmFw4cPU7NmzSLV8dZbb3Hs2LE8M3Ue5uHhwSuvvKI3U6c8UBSF3NxcjI2NUT2FmEtPT8fGxoa0tLRCB4zI9D1RJjVs2FBvcbrIyEi965GRkbr1pI4ePUrt2rX58MMPadmyJfXr1+ePP/4o8TaZmZlhbW2tdwhhaMbae0+7CeI5IvEmDE1iThiaxJwwJIm30hMQEMCOHTvYv39/kTukMjMz2bBhQ6HT8gra/Ke8yMnJedpN+FfSKSWeqps3b9K5c2fWrVvH2bNnSUxMZNOmTcyfP5++ffvq8m3atInVq1dz4cIFZs+ezYkTJwgICACgfv36JCUlsWHDBhISEvjmm2/yrJFTmlSK1mD3Es83laLF4Z8EiTlhEBJvwtAk5oShScwJQ5J4Kx2KohAQEMDWrVvZt28fderUKXLZTZs2kZ2dzbBhwwrMU9DmP+VBbm4uZ8+eLfMbC8maUuKpqlSpEm3atGHRokUkJCSg0WioVasWY8aM4YMPPtDl+/jjj9mwYQMTJkzA0dGRH374gYYNGwLQp08f3n33XQICAsjOzqZnz57MmjWLOXPmPKWnEkIIIYQQQghR2vz9/QkNDeXnn3/GysqKlJQUAGxsbKhYsSIAw4cPp0aNGgQGBuqVVavV+Pr6Ym9vn2/dDzb/WbBgQek+xPNOEaKMA5StW7c+7WbkkZaWpgDKzZs3n3ZTxHNCo9Eox44dUzQajaIoijJ79mwF0Dvc3d11+bOyspQJEyYodnZ2iqWlpdK/f38lJSWl0Hs8Wt+DY/78+Xny3r17V/H09FQA5fTp07r0xMREpX379oqFhYXSvn17JTExUa9cz549lc2bNxf/RQiDeDTehChtEnPC0CTmhCFJvJWOgn53DQ4O1uXp0KGDMmLECL1y58+fVwBl9+7dBda9YsUKpWLFikpqamoptb50Pe2Ye/B9OS0trdB8Mn1PCCHKkYd3jIT7u0gmJyfrjsOHD+uuvfvuu/znP/9h06ZNHDhwgL/++utfdw15uK7k5GRWr16NSqViwIABefJOnz4dJyenPOlTpkyhRo0aREdH4+joyNSpU3XXfvzxR4yMjPKtT5Q9j8abEKVNYk4YmsScMCSJt5KnKEq+x4Nd3AEiIiIICQnRK+fu7o6iKLzyyisF1j127Fju3LmDjY1NKbW+9JWHmJPpe0I8IRMT+RgJwzAxMaFVq1Z50hwcHPLkTUtLQ61WExoaSufOnQEIDg6mQYMGREZG0rZt23zv8WhdP//8M506dcLV1VUv/ZdffmH37t389NNP/PLLL3rXYmNjWbhwIfXr18fPz0/XKZWamsrMmTPZt2/f4z24eCryizchSpPEnDA0iTlhSBJvwtDKS8zJt2lR5o0YMYKQkBB8fX1L9T4hISFMmjSJ1NTUxyqnbLQFC6VU2iTEwxSMSDNywUZ7GdXQ+wsWxsfH4+TkhLm5OV5eXgQGBuLs7ExUVBQajYYuXbroynt4eODs7MyxY8cK7JR62LVr19i5cydr1qzJkz5mzBi2bduGhYVFnnKenp7s2bOHrl27snv3bpo2bQrAtGnT8Pf3p1atWk/yGoSBKIpCWloaNjY2T2UbYfH8kZgThiYxJwxJ4k0YWnmJOZm+J0qFn59fqXcilRW50rcrDCQXE86bDtHFXJs2bQgJCSEsLIxly5aRmJhI+/btuX37NikpKVSoUAFbW1u9OqpXr65bAPLfrFmzBisrK70pfw+GQ48bN46WLVvmWy4oKIjz58/j4uJCfHw8QUFBHDx4kOjoaIYPH86gQYNwdXVl3Lhx5WKb2udVbm4u58+fL/M7tohnh8ScMDSJOWFIEm/C0MpLzEmnlBBClFPdu3dn4MCBNG3aFB8fH3bt2kVqaiobN24skfpXr17N66+/jrm5uS5t8eLF3L59mxkzZhRYrkaNGuzYsYOkpCR27NhBlSpVmDBhAsuXL+fTTz/FysqKuLg44uPjWbFiRYm0VQghhBBCPH8CAwNp1aoVVlZWVKtWDV9fX+Li4got07FjR1QqVZ6jZ8+eujz5XVepVHz55Zel/UjPHemUEqVOq9Uyf/586tWrh5mZGc7Oznz22We663/++SeDBg3C1tYWOzs7+vbty+XLlwusLywsjBdffBFbW1vs7e3p1asXCQkJuuuXL19GpVKxZcsWOnXqhIWFBZ6enhw7dkyvnpCQEJydnbGwsKBfv37cvHmzxJ9dCEOytbXFzc2Nixcv4uDgQE5OTp7pqNeuXct3DapHHTp0iLi4OEaPHq2Xvm/fPo4dO4aZmRkmJibUq1cPgJYtWzJixIh86/r888/p2rUrLVq0ICIiggEDBmBqakr//v2JiIgo1rMKIYQQQghx4MAB/P39iYyMJDw8HI1GQ9euXcnMzCywzJYtW/Q29omJicHY2JiBAwfq8jzO5j/iyUinlCh1M2bM4IsvvmDWrFn8/vvvhIaGUr16dQA0Gg0+Pj5YWVlx6NAhjhw5QqVKlejWrVuB03oyMzOZPHkyJ0+eZO/evRgZGdGvXz+0Wq1evg8//JCpU6cSHR2Nm5sbQ4YM4d69ewAcP36cUaNGERAQQHR0NJ06deLTTz8t1vOpkPWkhGGoUKio3Cgw5jIyMkhISMDR0ZEWLVpgamrK3r17ddfj4uJISkrCy8vrX++lVqtp0aIFnp6eeunffPMNZ86cITo6mujoaHbt2gXc31Xv4c7mB2JjYwkNDWXu3LnA/WHEGo0GuP/5L+vDiZ9nKpWKihUrluk1CMSzRWJOGJrEnDAkibfSERYWhp+fH40aNcLT05OQkBCSkpKIiooqsIydnR0ODg66Izw8HAsLC71OqYevOzg4FLj5T1lWXmJOFsMRper27dt8/fXXLFmyRDeKom7durz44ovA/S+yWq2W7777TvdhCQ4OxtbWloiICLp27Zqnzkd7p1evXk3VqlX5/fffady4sS596tSpuiGYH3/8MY0aNeLixYt4eHjw9ddf061bN6ZPnw6Am5sbR48eJSwsrMBnyc7OJjs7W3eenp4OgDH3Hvu9CFEcxmjwzPnfdLepU6fSu3dvateuzV9//cXs2bMxNjZmyJAh2NjYMGrUKCZPnoydnR3W1tZMnDgRLy8vvUXOPTw8CAwMpF+/frq09PR0Nm3axIIFC/K0wdnZWe+8UqVKwP3Pdc2aNfWuKYrC2LFjWbRoEZaWlgB4e3uzatUq3NzcWLt2LUOGDHnyFyNKhbGxcZ5OSSFKk8ScMDSJOWFIEm+GkZaWBtzveCoqtVrN4MGDdb+vPqqgzX/KuvISc9IpJUpVbGws2dnZvPzyy/leP3PmDBcvXsTKykov/e7du3pT8h4WHx/PRx99xPHjx7lx44ZuhFRSUpJep9SDHb8AHB0dAbh+/ToeHh7ExsbqfQkH8PLyKrRTKjAwkI8//jhP+kK3BMytrAssJ0SJURQs76aSaW4Lp28Qfi6BlWte407aLSwr2+PSrA1+6l2or6jgyg2cRnyI081sevr2515ODm5eneg7Yx5fnL6hqzIuLo7Qs1eIc/lf2omf1qLRKqQ07KqXNz+3/voHgNXnb+Gk6Oc9vnkNqWa2xNRoS8z/12M3YCK7PxhH81atcWvXmSzv1/71HuIpeTjeyvhf2MQzQmJOGJrEnDAkibcS937zKnrnWq2WSZMm4e3trfe9sDAnTpwgJiYGtVpdYJ78Nv8pD7RaLTdu3KBKlSoYGZXdSXLSKSVKVcWKFQu9npGRQYsWLVi/fn2ea1WrVs23zIORIatWrcLJyQmtVkvjxo3zTPczNTXV/feDUViPTvF7HDNmzGDy5Mm68/T0dGrVqoVKKX6dQjwOlaKl8u1k7phZo6iMGfLFqkLzm5qZ03fGfPrOmF9gnsBTf+dJaz1gOK0HDC9Smyo7OedbB0CbV0fQ5lX9daYq2VVl9PKfilS3eLoejTchSpvEnDA0iTlhSBJvpc/f35+YmBgOHz5c5DJqtZomTZrQunXrAvPkt/lPeaDVarl06RJ2dnbSKSWeX/Xr16dixYrs3bs3z4LJAC+88AI//vgj1apVw9r630cb3bx5k7i4OFatWkX79u0BHuuHzgMNGjTg+PHjemmRkZGFljEzM8PMzOyx7yWEEEIIIYQQovQEBASwY8cODh48mGdJiYJkZmayYcMGPvnkkwLzPNj858cffyyppopHlN3uMvFMMDc357333mP69OmsXbuWhIQEIiMjdcMjX3/9dapUqULfvn05dOgQiYmJRERE8Pbbb3PlypU89VWuXBl7e3tWrlzJxYsX2bdvn97opaJ6++23CQsLIygoiPj4eJYsWVLo1D0hhBBCCCGEEGWLoigEBASwdetW9u3bR506dYpcdtOmTWRnZzNs2LAC8xS0+Y8oOdIpJUrdrFmzmDJlCh999BENGjTgtdde4/r16wBYWFhw8OBBnJ2d6d+/Pw0aNGDUqFHcvXs335FTRkZGbNiwgaioKBo3bsy7777Ll19++dhtatu2LatWreLrr7/G09OT3bt3M3PmzOI9oMwJF4aiUnG3gqXEnDAMiTdhaBJzwtAk5oQhSbyVCn9/f9atW0doaChWVlakpKSQkpJCVlaWLs/w4cOZMWNGnrJqtRpfX1/s7e3zrfvB5j/5zfgpD1QqFTY2NmV+9z2Voiiyn70QxZCeno6NjQ1paWlFmnooRGmYM2dOngX43d3dOX/+PHB/04ApU6awYcMGsrOz8fHx4dtvv6V69eoF1pmRkcH777/Ptm3buHnzJnXq1OHtt99m3LhxAFy+fLnAv0Jt3LiRgQMH8s8//zBixAj2799P/fr1Wb16Nc2bN9fl8/f3x9XVlSlTpjzpKxBCCCGEEM+pgjpcgoOD8fPzA6Bjx464uLgQEhKiux4XF4eHhwe7d+/mlVdeybeOlStXMmnSJJKTk7GxsSnppj/zivp9WTqlhCimBx+yW7duYWtr+7SbI54DWq2Wv/76CycnJ91ihXPmzGHz5s3s2bNHl8/ExIQqVe7vRjJ+/Hh27txJSEgINjY2BAQEYGRkxJEjRwq8z9ixY9m3bx/fffcdLi4u7N69mwkTJrBlyxb69OlDbm4uf/+tv7j5ypUr+fLLL0lOTqZSpUpMmTKFqKgoVq5cybJlyzh06BAnT54E7q/fFhAQwPHjxzE2loU+y6r84k2I0iQxJwxNYk4YksSbMLSnHXNF7ZSST4MQT+hJdvQT4nFotVquXLmSJ+ZMTExwcHDQHQ86pNLS0lCr1SxcuJDOnTvTokULgoODOXr0aKEL+x89epQRI0bo/qo0duxYPD09OXHiBADGxsZ693NwcGDr1q0MGjSISpUqARAbG8vgwYNxc3Nj7NixxMbGAqDRaBg3bhzLly+XDqkyrqB4E6K0SMwJQ5OYE4Yk8SYMrbzEnOy+J54LHTt2pFmzZnz11VclX/kWB7DQlHy9QuRRAcymwaUOQA4MvT/QNT4+HicnJ8zNzfHy8iIwMBBnZ2eioqLQaDR06dJFV4OHhwfOzs4cO3aMtm3b5nuXdu3asX37dkaOHImTkxMRERFcuHCBRYsW5Zs/KiqK6Oholi5dqkvz9PRk3759jB49ml9//ZWmTZsCMH/+fDp27EjLli1L6J0IIYQQQgghyqtijZQaMWIEBw8eLOm2iGecn58fKpUKlUqFqakpderUYfr06dy9e7fU771lyxbmzp1b6vcRwtDatGlDSEgIYWFhLFu2jMTERNq3b8/t27dJSUmhQoUKeaaXVq9enZSUlALrXLx4MQ0bNqRmzZpUqFCBbt26sXTpUl566aV886vVaho0aEC7du10ae+//z4mJibUrVuXrVu3olariY+PZ82aNcyaNYtx48bh6urKoEGDSEtLK5F3IYQQQgghhChfitUplZaWRpcuXahfvz6ff/45V69eLel2iWdUt27dSE5O5tKlSyxatIgVK1Ywe/bsUr+vnZ0dVlZWpVK3EWV7OKR4dhihpWputF7Mde/enYEDB9K0aVN8fHzYtWsXqampbNy4sdj3Wbx4MZGRkWzfvp2oqCgWLFiAv7+/3rpVD2RlZREaGsqoUaP00m1sbAgNDeWPP/7gwIEDNGzYkLfeeosvv/yS9evXc+nSJeLi4rCwsOCTTz4pdltF6TEyMqJq1aqy7oUwGIk5YWgSc8KQJN5KV2BgIK1atcLKyopq1arh6+tLXFxcoWU6duyoGzTx8NGzZ09dnvyuq1SqYu0Ab2jlJeaK1bpt27Zx9epVxo8fz48//oiLiwvdu3dn8+bNaDQyjUkUzMzMDAcHB2rVqoWvry9dunQhPDwcABcXlzzT65o1a8acOXMAUBSFOXPm4OzsjJmZGU5OTrz99tu6vN9++y3169fH3Nyc6tWr8+qrr+qudezYkUmTJunOv//+e1q2bImVlRUODg4MHTqU69evF+uZjMgtVjkhHpcR96h7bydG3Cswj62tLW5ubly8eBEHBwdycnJITU3Vy3Pt2jUcHBzyLZ+VlcUHH3zAwoUL6d27N02bNiUgIIDXXnuNoKCgPPk3b97MnTt3GD58eKFtDw4OxtbWlr59+xIREYGvry+mpqYMHDiQiIiIf312YXhGRkbUrVu3zP8iI54dEnPC0CTmhCFJvJWuAwcO4O/vT2RkJOHh4Wg0Grp27UpmZmaBZbZs2UJycrLuiImJwdjYmIEDB+ryPHw9OTmZ1atXo1KpGDBggCEe64mUl5grduuqVq3K5MmTOXPmDMePH6devXq88cYbODk58e677xIfH1+S7RTPoJiYGI4ePUqFChWKlP+nn37Sja6Kj49n27ZtNGnSBICTJ0/y9ttv88knnxAXF0dYWFiBU43g/mLLc+fO5cyZM2zbto3Lly/rtgx9XFpksWZhGFpMSDDpibaQ5QAzMjJISEjA0dGRFi1aYGpqyt69e3XX4+LiSEpKwsvLK9/yGo0GjUaT5x8vY2PjfBdJVKvV9OnTh6pVqxbYpr///ptPPvmExYsXA5Cbm6v7A4ZGoyE3Vzp2yyKtVktCQkKZXxxTPDsk5oShScwJQ5J4K11hYWH4+fnRqFEjPD09CQkJISkpiaioqALL2NnZ6W3cEx4ejoWFhV6n1KOb+/z888906tQJV1dXQzzWEykvMffEC50nJycTHh5OeHg4xsbG9OjRg3PnztGwYUPmz5/Pu+++WxLtFM+IHTt2UKlSJe7du0d2djZGRkYsWbKkSGWTkpJwcHCgS5cumJqa4uzsTOvWrXXXLC0t6dWrF1ZWVtSuXZvmzZsXWNfIkSN1/+3q6so333xDq1atyMjI0O0e9qjs7Gyys7N15+np6QBoMQIZLSUMQIsRfxs3o/a9cN1fFKZOnUrv3r2pXbs2f/31F7Nnz8bY2JghQ4ZgY2PDqFGjmDx5MnZ2dlhbWzNx4kS8vLz0Fjn38PAgMDCQfv36YW1tTYcOHZg2bRoVK1akdu3aHDhwgLVr17Jw4UK99ly8eJGDBw+ya9euQts9adIkpkyZQo0aNQDw9vbm+++/p2vXrqxcuRJvb+8SfU+iZGi1Wv7++29q165d5v/CJp4NEnPC0CTmhCFJvBnWgzVL7ezsilxGrVYzePBgLC0t871+7do1du7cyZo1a0qkjaWtvMRcsTqlNBoN27dvJzg4mN27d9O0aVMmTZrE0KFDsba2BmDr1q2MHDlSOqWEnk6dOrFs2TIyMzNZtGgRJiYmRR76OHDgQL766itcXV3p1q0bPXr0oHfv3piYmPDKK69Qu3Zt3bVu3brRr18/LCws8q0rKiqKOXPmcObMGW7duqXrPU5KSqJhw4b5lgkMDOTjjz/Ok764/u+YWdsW7QUI8QRU2lxq3IjjgMtEFCNjOH2D8HMJrFzzGnfSbmFZ2R6XZm3wU+9CfUUFV27gNOJDnG5m09O3P/dycnDz6kTfGfP44vQNXb1xcXGEnr1CnMv9NO8Pl/Lr4k/pO2gId9JTqexYk84TPiC1zat65X5dvATr6k6cqvoC0Q+lP+zC0X0cPHueRpMX6crmvDiYnD1HaN6qNTUbvcALUwL06hVlg0qbS420HA6cuXk/3oQoZRJzwtAk5oQhSbyVnvebV9E712q1TJo0CW9vbxo3blykOk6cOEFMTAxqtbrAPGvWrMHKyor+/fs/UXuFvmJ1Sjk6OqLVahkyZAgnTpygWbNmefJ06tQpz45PQlhaWlKvXj0AVq9ejaenJ2q1mlGjRmFkZISiKHr5H16jrFatWsTFxbFnzx7Cw8OZMGECX375JQcOHMDKyopTp04RERHB7t27+eijj5gzZw6//fZbnjjMzMzEx8cHHx8f1q9fT9WqVUlKSsLHx4ecnJwC2z5jxgwmT56sO09PT6dWrVol8FaEKL4hX6wq9LqpmTl9Z8yn74z5BeYJPPW33rlVleq8+vHif723z8SZ+EycWWget3adcWvXWS+tQkULhs4r+B98IYQQQgghisvf35+YmBgOHz5c5DJqtZomTZroZuLkZ/Xq1bz++uuYm5uXRDPF/yvWGK5Fixbx119/sXTp0nw7pOD+YruJiYlP0jbxjDMyMuKDDz5g5syZZGVlUbVqVZKTk3XX09PT88RQxYoV6d27N9988w0REREcO3aMc+fOAWBiYkKXLl2YP38+Z8+e5fLly+zbty/Pfc+fP8/Nmzf54osvaN++PR4eHkVa5NzMzAxra2u9A0BRqZ7kNQhRZIpKRbplVYk5YRASb8LQJOaEoUnMCUOSeDOMgIAAduzYwf79+6lZs2aRymRmZrJhw4Y8u0k/7NChQ8TFxTF69OiSamqpMzIyombNmmV66h4Uo1NKo9Hw5ptvcvHixdJoj3jODBw4EGNjY5YuXUrnzp35/vvvOXToEOfOnWPEiBEYG/9vaGtISAhqtZqYmBguXbrEunXrdGve7Nixg2+++Ybo6Gj++OMP1q5di1arxd3dPc89nZ2dqVChAosXL+bSpUts376duXPnFv8hVGX7Qy6eISoj0i2rSswJw5B4E4YmMScMTWJOGJLEW6lSFIWAgAC2bt3Kvn37qFOnTpHLbtq0iezsbIYNG1ZgHrVaTYsWLfD09CyJ5hrEM9sp9WCBadktSZQEExMTAgICmD9/Pu+//z4dOnSgV69e9OzZE19fX+rWravLa2try6pVq/D29qZp06bs2bOH//znP9jb22Nra8uWLVvo3LkzDRo0YPny5fzwww80atQozz2rVq1KSEgImzZtomHDhnzxxRf5bnVfVCqlbO9mIJ4dKkVLldQ/JOaEQUi8CUOTmBOGJjEnDEnirXT5+/uzbt06QkNDsbKyIiUlhZSUFLKysnR5hg8fzowZM/KUVavV+Pr6Ym9vn2/d6enpbNq0qVyNkoL7O17HxsaW/b4bpRi+++47pUePHsrNmzeLU1yIZ0JaWpoCyOdAGIxGo1GOHTumaDQaXdrs2bMVQO9wd3fXXc/KylImTJig2NnZKZaWlkr//v2VlJSUQu9z+/Ztxd/fX6lRo4Zibm6uNGjQQFm2bJlenuTkZGXYsGFK9erVFQsLC6V58+bK5s2bddfv3r2rDBs2TLGyslLq16+vhIeH65WfP3++EhAQ8CSvQ5Sy/OJNiNIkMScMTWJOGJLEW+l69PfhB0dwcLAuT4cOHZQRI0bolTt//rwCKLt37y6w7hUrVigVK1ZUUlNTS6n1peNpx9yD78tpaWmF5ivWQudLlizh4sWLODk5Ubt27TxbJp46daq4fWRCCCEeU6NGjdizZ4/u3MTkfz/a3333XXbu3MmmTZuwsbEhICCA/v37c+TIkQLrmzx5Mvv27WPdunW4uLiwe/duJkyYgJOTE3369AHu/6UpNTWV7du3U6VKFUJDQxk0aBAnT56kefPmrFy5kqioKI4dO8Yvv/zC0KFDuXbtGiqVisTERFatWsXJkydL76UIIYQQQojnhvLIhln5iYiIyJPm7u7+r2XHjh3L2LFji9s08S+K1SnVt29fVLJAmxBClAkmJiY4ODjkSU9LS0OtVhMaGkrnzvd3wAsODqZBgwZERkbStm3bfOs7evQoI0aMoGPHjsD9f4hXrFjBiRMndJ1SR48eZdmyZbodSmbOnMmiRYuIioqiefPmxMbG0qdPHxo1aoSrqyvTpk3jxo0bVK1alfHjxzNv3jzdZgFCCCGEEEKI51OxOqXmzJlTws0Qovwy2lIFLP69Z16IJ2WEEa7GTTG6dBbQwtD7cRcfH4+TkxPm5uZ4eXkRGBiIs7MzUVFRaDQaunTpoqvDw8MDZ2dnjh07VmCnVLt27di+fTsjR47EycmJiIgILly4wKJFi/Ty/Pjjj/Ts2RNbW1s2btzI3bt3dR1Znp6efP/992RlZfHrr7/i6OhIlSpVWL9+Pebm5vTr16/U3pMoGUZGRri6upb5xTHFs0NiThiaxJwwJIk3YWjlJeaK1TpXV1du3ryZJz01NRVXV9cnbpQou/z8/PD19c2THhERgUqlIjU11eBtetqMkA4pYRhGaKmWG40R/1sgs02bNoSEhBAWFsayZctITEykffv23L59m5SUFCpUqICtra1ePdWrVyclJaXA+yxevJiGDRtSs2ZNKlSoQLdu3Vi6dCkvvfSSLs/GjRvRaDTY29tjZmbGW2+9xdatW6lXrx4AI0eOxNPTk4YNG/LZZ5+xceNGbt26xUcffcTixYuZOXMm9erVw8fHh6tXr5bsixIlwsjIiGrVqpX5X2TEs0NiThiaxJwwJIk3YWjlJeaK1brLly/nu4J7dnY2V65ceeJGCVFacnNz0WpLdseL3OINOBTiseViypkKb5GLqS6te/fuDBw4kKZNm+Lj48OuXbtITU1l48aNxb7P4sWLiYyMZPv27URFRbFgwQL8/f311q2aNWsWqamp7Nmzh5MnTzJ58mQGDRrEuXPngPs7tS5dupTExER+++03XnzxRaZMmcLbb7/N6dOn2bZtG2fOnKFt27a8/fbbxX8potTk5uZy5syZsr9ji3hmSMwJQ5OYE4Yk8Vb6AgMDadWqFVZWVlSrVg1fX1/i4uIKLdOxY0dUKlWeo2fPnro8+V1XqVR8+eWXpf1IT6S8xNxjdUpt376d7du3A/Drr7/qzrdv387WrVuZO3cuderUKZWGivJjzpw5NGvWTC/tq6++wsXFRXf+YMRVUFAQjo6O2Nvb4+/vj0aj0eVJTk6mZ8+eVKxYkTp16hAaGoqLiwtfffWVLs/ChQtp0qQJlpaW1KpViwkTJpCRkaG7HhISgq2tLdu3b6dhw4aYmZlx+PBhTE1N84wUmTRpEu3bt3/s51WQ9dWEYSioyFJVKTTmbG1tcXNz4+LFizg4OJCTk5NnBOO1a9fyXYMKICsriw8++ICFCxfSu3dvmjZtSkBAAK+99hpBQUEAJCQksGTJElavXs3LL7+Mp6cns2fPpmXLlixdujTfevfv389///tfAgICiIiIoEePHlhaWjJo0KB8F50UT5+iKGRlZRVp4VAhSoLEnDA0iTlhSBJvpe/AgQP4+/sTGRlJeHg4Go2Grl27kpmZWWCZLVu2kJycrDtiYmIwNjZm4MCBujwPX09OTmb16tWoVCoGDBhgiMcqtvISc481xOPBtC2VSsWIESP0rpmamuLi4sKCBQtKrHHi2bZ//34cHR3Zv38/Fy9e5LXXXqNZs2aMGTMGuL+7140bN4iIiMDU1JTJkydz/fp1vTqMjIz45ptvqFOnDpcuXWLChAlMnz6db7/9Vpfnzp07zJs3j++++w57e3tq1aqFq6sr33//PdOmTQNAo9Gwfv165s+fb7gXIEQpyMjIICEhgTfeeIMWLVpgamrK3r17df9oxsXFkZSUhJeXV77lNRoNGo0mzzBfY2Nj3SjDO3fuABSa52F3797F39+f9evXY2xsTG5uru4fR41GU+b/eiOEEEIIIcq+sLAwvfOQkBCqVatGVFSU3jIUD7Ozs9M737BhAxYWFnqdUo/+Mffnn3+mU6dOsnRRCXmsTqkHXzbq1KnDb7/9RpUqVUqlUaJs27FjB5UqVdJLK86XysqVK7NkyRKMjY3x8PCgZ8+e7N27lzFjxnD+/Hn27NnDb7/9RsuWLQH47rvvqF+/vl4dkyZN0v23i4sLn376KePGjdPrlNJoNHz77bd4enrq0kaNGkVwcLCuU+o///kPd+/eZdCgQQW2Nzs7m+zsbN15enr6Yz+zECVt6tSp9O7dm9q1a/PXX38xe/ZsjI2NGTJkCDY2NowaNYrJkydjZ2eHtbU1EydOxMvLS2+Rcw8PDwIDA+nXrx/W1tZ06NCBadOmUbFiRWrXrs2BAwdYu3YtCxcu1OWvV68eb731FkFBQdjb27Nt2zbCw8PZsWNHnjbOnTuXHj160Lx5cwC8vb2ZNm0ab775JkuWLMHb29swL0sIIYQQQjw30tLSgLwdT4VRq9UMHjwYS0vLfK9fu3aNnTt3smbNmhJpoyjm7nuJiYkl3Q5RjnTq1Illy5bppR0/fpxhw4Y9Vj2NGjXC2NhYd+7o6KhbjyYuLg4TExNeeOEF3fV69epRuXJlvTr27NlDYGAg58+fJz09nXv37nH37l3u3LmDhYUFABUqVKBp06Z65fz8/Jg5cyaRkZG0bduWkJAQBg0aVOAPH7g/R/njjz/Ok/6N23nMrWRre2EAioK5JpMI03dApYLTNwg/l8DKNa9xJ+0WlpXtcWnWBj/1LtRXVHDlBk4jPsTpZjY9fftzLycHN69O9J0xjy9O39BVGxcXR+jZK8S53E/z/nApvy7+lL6DhnAnPZXKjjXpPOEDUtu8qivXN2gdYd/M5eXuvci+k4l9rTq8+vESzjq25uxDdadcjGXd9z/w9ob9urLauh1xbPMyrb1fpGrterz22XK99ogyQlEwVzkQcfbW/XgTorRJzAlDk5gThiTxVqreb64/YEar1TJp0iS8vb1p3Lhxkeo4ceIEMTExqNXqAvOsWbMGKysr+vfv/0TtNYQHgz8e/s5dFhV7hea9e/eyd+9erl+/nme6xurVq5+4YaLssrS01O2w9cDDC9wbGRnlmbf68FpRD5iamuqdq1Sqx1qE/PLly/Tq1Yvx48fz2WefYWdnx+HDhxk1ahQ5OTm6TqmKFSuieuQHf7Vq1ejduzfBwcHUqVOHX3755V/XtZkxYwaTJ0/Wnaenp1OrVi35R0UYjkrF3Qr6oxSHfLGq0CKmZub0nTGfvjMKnpoaeOpvvXOrKtV59ePFhdZbxbkuw4JCCm8v4FCvAVN/PqGXZmRkhO+M+fgW0iZRBuQTb0KUKok5YWgSc8KQJN4Myt/fn5iYGA4fPlzkMmq1miZNmtC6desC86xevZrXX38dc3PzkmhmqVKpVHl24S6LirX73scff0zXrl3Zu3cvN27c4NatW3qHeL5VrVqVlJQUvY6p6Ojox6rD3d2de/fucfr0aV3axYsX9eIrKioKrVbLggULaNu2LW5ubvz1119Fvsfo0aP58ccfWblyJXXr1v3XKURmZmZYW1vrHQAqrayHIwxDpc2lxo3zEnPCICTehKFJzAlDk5gThiTxZjgBAQHs2LGD/fv3U7NmzSKVyczMZMOGDYwaNarAPIcOHSIuLo7Ro0eXVFNL1b179/jtt9+4d+/e025KoYo1Umr58uWEhITwxhtvlHR7xDOgY8eO/P3338yfP59XX32VsLAwfvnlF10nTlF4eHjQpUsXxo4dy7JlyzA1NWXKlCl6o57q1auHRqNh8eLF9O7dmyNHjrB8+fIi38PHxwdra2s+/fRTPvnkk8d+TiGeBtVjjCYU4klJvAlDk5gThiYxJwxJ4q10KYrCxIkT2bp1KxEREdSpU6fIZTdt2kR2dnahS9Ko1WpatGiht1ZxWVceNhQq1kipnJwc2rVrV9JtEc+IBg0a8O2337J06VI8PT05ceIEU6dOfex61q5dS/Xq1XnppZfo168fY8aMwcrKSjdU0tPTk4ULFzJv3jwaN27M+vXrCQwMLHL9RkZG+Pn5kZuby/Dhwx+7fUIIIYQQQgghygZ/f3/WrVtHaGgoVlZWpKSkkJKSQlZWli7P8OHDmTFjRp6yarUaX19f7O3t8607PT2dTZs2lZtRUuWKUgzTp09XPvnkk+IUFaLY/vzzTwVQ9uzZU2J1jhw5Uundu3exyqalpSmAcvPmzRJrjxCF0Wg0yrFjxxSNRqNLmz17tgLoHe7u7rrrWVlZyoQJExQ7OzvF0tJS6d+/v5KSklLofVJSUpQRI0Yojo6OSsWKFRUfHx/lwoULennGjh2ruLq6Kubm5kqVKlWUPn36KLGxsbrrN2/eVHr16qVYWloqzZo1U06dOqVXfsKECUpQUNCTvA5RyvKLNyFKk8ScMDSJOWFIEm+l79HfiR8cwcHBujwdOnRQRowYoVfu/PnzCqDs3r27wLpXrFihVKxYUUlNTS2l1pe8px1zD74vp6WlFZpPpSiPrEhdBO+88w5r166ladOmNG3aNM+C1Q+2DRfiSezbt4+MjAyaNGlCcnIy06dP5+rVq1y4cCFPzD2utLQ0zp07xyuvvML27dt55ZVXHruO9PR0bGxsSE1NxcbG5onaI0RRKIpCVlaW3jTWOXPmsHnzZvbs2aPLZ2JiQpUq93cgGT9+PDt37iQkJAQbGxsCAgIwMjLiyJEjBd6jXbt2mJqasmDBAqytrVm4cCFhYWH8/vvvuh0qV65ciYeHB87Ozvzzzz/MmTOH6OhoEhMTMTY2ZsqUKURFRbFy5UqWLVvGoUOHOHnyJACRkZEEBARw/PjxMr8byPMsv3gTojRJzAlDk5gThiTxJgztacfcg+/LaWlphS7lU6w1pc6ePUuzZs0AiImJ0bsmHzBRUjQaDR988AGXLl3CysqKdu3asX79+ifukALo27cvJ06cYNy4ccXqkBLiaalQoUKeNBMTExwcHPKkp6WloVarCQ0NpXPnzgAEBwfToEEDIiMjadu2bZ4y8fHxREZGEhMTQ6NGjQBYtmwZDg4O/PDDD7ohy2PHjtWVcXFx4dNPP8XT05PLly9Tt25dYmNjGTx4MG5ubowdO5aVK1cC9z/X48aN47vvvpMOqXIgv3gTojRJzAlDk5gThiTxJgytPMRcsTql9u/fX9LtECIPHx8ffHx8SqQuPz8/UlNT2bZtGwARERElUi9A7qaqYKEpsfqEKEguFThpNo2W2V9iQg4MvT/QNT4+HicnJ8zNzfHy8iIwMBBnZ2eioqLQaDR06dJFV8eD0U3Hjh3Lt1MqOzsbQG+bWyMjI8zMzDh8+HC+8+gzMzMJDg6mTp061KpVC7i/5tu+ffsYPXo0v/76K02bNgVg/vz5dOzYkZYtW5bcixGlIjc3l5MnT9KyZUtMTIr164IQj0ViThiaxJwwJIk3YWjlJeaKtdC5EE/Cz88PX1/fYpUNCQnB1tb2sct9/fXXhISEFOueQpRlbdq0ISQkhLCwMJYtW0ZiYiLt27fn9u3bpKSkUKFChTyfmerVq5OSkpJvfQ86rWbMmMGtW7fIyclh3rx5XLlyheTkZL283377LZUqVaJSpUr88ssvhIeH6/4a8/7772NiYkLdunXZunUrarWa+Ph41qxZw6xZsxg3bhyurq4MGjSItLS0Unk3QgghhBBCiLKtWJ1SnTp1onPnzgUeQpQ1NjY2xerMEqKs6969OwMHDqRp06b4+Piwa9cuUlNT2bhxY7HqMzU1ZcuWLVy4cAE7OzssLCzYv38/3bt3x8hI/5+M119/ndOnT3PgwAHc3NwYNGgQd+/eBe5/5kJDQ/njjz84cOAADRs25K233uLLL79k/fr1XLp0ibi4OCwsLPjkk0+e+D0IIYQQQojnW2BgIK1atcLKyopq1arh6+tLXFxcoWU6duyISqXKc/Ts2VOXJyMjg4CAAGrWrEnFihVp2LAhy5cvL+3HeW4Uq1OqWbNmeHp66o6GDRuSk5PDqVOnaNKkSUm3UTxHFi5cSJMmTbC0tKRWrVpMmDCBjIwM4P6UuzfffJO0tDTdD4s5c+bwwQcf0KZNmzx1eXp66r7sPjo6KywsjBdffBFbW1vs7e3p1asXCQkJBnlGIUqTra0tbm5uXLx4EQcHB3JyckhNTdXLc+3atXzXoHqgRYsWREdHk5qaSnJyMmFhYdy8eRNXV1e9fDY2NtSvX5+XXnqJzZs3c/78ebZu3ZpvncHBwdja2tK3b18iIiLw9fXF1NSUgQMHluh0WiGEEEII8Xw6cOAA/v7+REZGEh4ejkajoWvXrmRmZhZYZsuWLSQnJ+uOmJgYjI2NGThwoC7P5MmTCQsLY926dcTGxjJp0iQCAgLYvn27IR7rmVesiYWLFi3KN33OnDm6DgQhisPIyIhvvvmGOnXqcOnSJSZMmMD06dP59ttvadeuHV999RUfffSRrse7UqVK/PHHHwQGBpKQkEDdunUB+O9//8vZs2f56aef8r1PZmYmkydPpmnTpmRkZPDRRx/Rr18/oqOj84wG+TfGyHpSwjCMyaFl9pcYk1NgnoyMDBISEnjjjTdo0aIFpqam7N27lwEDBgAQFxdHUlISXl5e/3q/B7tKxsfHc/LkSebOnVtgXkVRUBRFtybVw/7++28++eQTDh8+DNyf367R3P/caDQacnNz/7UtwvCMjY1p2bKlLEgvDEZiThiaxJwwJIm30hcWFqZ3HhISQrVq1YiKiuKll17Kt4ydnZ3e+YYNG7CwsNDrlDp69CgjRoygY8eOwP0Nf1asWMGJEyfo06dPyT5ECSovMVeia0oNGzaM1atXl2SV4jkzadIkOnXqhIuLC507d+bTTz/VTUOqUKECNjY2qFQqHBwccHBwoFKlSjRq1AhPT09CQ0N19axfv542bdpQr169fO8zYMAA+vfvT7169WjWrBmrV6/m3Llz/P777wW2LTs7m/T0dL1DCMNSkaOyBv63y+nUqVM5cOAAly9f5ujRo/Tr1w9jY2OGDBmCjY0No0aNYvLkyezfv5+oqCjefPNNvLy89BY59/Dw0BvhtGnTJiIiIrh06RI///wzr7zyCr6+vnTt2hWAS5cuERgYSFRUFElJSRw9epSBAwdSsWJFevTokafVkyZNYsqUKdSoUQMAb29vvv/+e2JjY1m5ciXe3t6l9L7Ek8rJKbgDVIjSIDEnDE1iThiSxJthPVi39NGOp8Ko1WoGDx6MpaWlLq1du3Zs376dq1evoigK+/fv58KFC7rfjcuy8hBzJboE+7Fjx/R2bBLice3Zs4fAwEDOnz9Peno69+7d4+7du9y5cwcLC4sCy73++uusXr2aWbNmoSgKP/zwA5MnTy4wf3x8PB999BHHjx/nxo0baLVaAJKSkmjcuHG+ZQIDA/n444/zpH9VPx4za9vHe1AhikGlzaXGjTiuVnFHMTKG0zcIP5fAyjWvcSftFpaV7XFp1gY/9S7UV1Rw5QZOIz7E6WY2PX37cy8nBzevTvSdMY8vTt/Q1RsXF0fo2SvEudxPO/JbPIfWTiLj5t9YValO816DaD5miq5M+t93+GnnXj4PWkRWeiqV7Kvi8oIXft/tZPVVI7j6v7ovHN3HwbPnaTR5ka58zouDydlzhOatWlOz0Qu8MCVArz2ibMgTb0KUMok5YWgSc8KQJN5K1/vNq+ida7VaJk2ahLe3d4Hf7x514sQJYmJiUKvVeumLFy9m7Nix1KxZExMTE4yMjFi1alWBo6/KitzcXM6ePVvmd98rVsv69++vd64oCsnJyZw8eZJZs2aVSMPE8+fy5cv06tWL8ePH89lnn2FnZ8fhw4cZNWoUOTk5hXZKDRkyhPfee49Tp06RlZXFn3/+yWuvvVZg/t69e1O7dm1WrVqFk5MTWq2Wxo0bF9qTPGPGDL2OrvT0dGrVqlW8hxWihAz5YlWh103NzOk7Yz59Z8wvME/gqb/1zr2HjMV7yNgC81tXdeDNxRuK1D63dp1xa6e/AUaFihYMnacuoIQQQgghhBBPxt/fn5iYGN3yEUWhVqtp0qQJrVu31ktfvHgxkZGRbN++ndq1a3Pw4EH8/f1xcnKiS5cuJd30506xOqUerDPygJGREe7u7nzyySflYgibKJuioqLQarUsWLBAt67TozuIVahQId/1Z2rWrEmHDh1Yv349WVlZvPLKK1SrVi3f+9y8eZO4uDhWrVpF+/btAYr0w8rMzAwzM7PHfSwhhBBCCCGEEAYSEBDAjh07OHjwIDVr1ixSmczMTDZs2JBnV+isrCw++OADtm7dqtuRr2nTpkRHRxMUFCSdUiWgWJ1SwcHBJd0O8ZxJS0sjOjpaL61KlSpoNBoWL15M7969OXLkSJ6tNl1cXMjIyGDv3r14enpiYWGhG0H1+uuvM3v2bHJycgpcjB+gcuXK2Nvbs3LlShwdHUlKSuL9998v8WcUojQoj7kQvxBPQuJNGJrEnDA0iTlhSBJvpUtRFCZOnMjWrVuJiIigTp06RS67adMmsrOzGTZsmF66RqNBo9Hk2QzL2NhYtwRMWVbWFzmHJ1zoPCoqinXr1rFu3TpOnz5dUm0Sz4GIiAiaN2+ud3z//fcsXLiQefPm0bhxY9avX09gYKBeuXbt2jFu3Dhee+01qlatyvz5/5uS9Oqrr3Lz5k3u3LmDr69vgfc2MjJiw4YNREVF0bhxY959912+/PLLYj+LzAkXhqIYGXO1iofEnDAIiTdhaBJzwtAk5oQhSbyVPn9/f9atW0doaChWVlakpKSQkpJCVlaWLs/w4cOZMWNGnrJqtRpfX1/s7e310q2trenQoQPTpk0jIiKCxMREQkJCWLt2Lf369Sv1Z3oSJiYmtGrVqkyvJwWAUgzXrl1TOnXqpKhUKqVy5cpK5cqVFZVKpXTu3Fm5fv16caoUotxJS0tTACU1NfVpN0U8J7RarXLr1i1Fq9Xq0mbPnq0Aeoe7u7vu+ooVK5QOHTooVlZWCqDcunWrSPdasmSJUrt2bcXMzExp3bq1cvz48Tx5jh49qnTq1EmxsLBQrKyslPbt2yt37txRFEVR7t69qwwbNkyxsrJS6tevr4SHh+uVnT9/vhIQEFCMtyAMJb94E6I0ScwJQ5OYE4Yk8Vb6Hv2d+MERHBysy9OhQwdlxIgReuXOnz+vAMru3bvzrTc5OVnx8/NTnJycFHNzc8Xd3V1ZsGBBmf9/+bRj7sH35bS0tELzFWuk1MSJE7l9+zb//e9/+eeff/jnn3+IiYkhPT2dt99++8l7yoQoR/Jb40qI0pCbm8v58+fzxFyjRo1ITk7WHQ+vkXbnzh26devGBx98UOT7/Pjjj0yePJnZs2dz6tQpPD098fHx4fr167o8x44do1u3bnTt2pUTJ07w22+/ERAQoBvavHLlSqKiojh27Bhjx45l6NChKIoCQGJiIqtWreKzzz57ktchSllB8SZEaZGYE4YmMScMSeKt9CmKku/h5+enyxMREUFISIheOXd3dxRF4ZVXXsm3XgcHB4KDg7l69SpZWVmcP3+eyZMno1KpSvFpnlx5iblijeMKCwtjz549NGjQQJfWsGFDli5dKgudCyGEgZmYmODg4JDvtUmTJgH3/wEuqoULFzJmzBjefPNNAJYvX87OnTtZvXq1bv21d999l7fffltvPTZ3d3fdf8fGxtKnTx8aNWqEq6sr06ZN48aNG1StWpXx48czb948rK2tH/NJhRBCCCGEEM+SYnVKabVaTE1N86SbmpqWi8W+nhV+fn6kpqaybdu2p92UEtexY0eaNWvGV199VWJ1ltr72uIAFpqSrVOIfFUAs2lwqQOQA0PvjzyKj4/HyckJc3NzvLy8CAwMxNnZuVh3yMnJISoqSm+uvZGREV26dOHYsWMAXL9+nePHj/P666/Trl07EhIS8PDw4LPPPuPFF18EwNPTk++//56srCx+/fVXHB0dqVKlCuvXr8fc3LzMz8EXQgghhBBClL5iTd/r3Lkz77zzDn/99Zcu7erVq7z77ru8/PLLJda48sLPzw+VSsUXX3yhl75t27YSGdJ3+fJlVCpVnt3qiiMkJASVSqU3yu2BTZs2oVKpcHFxeeL7lEVff/11nqGaJUGFUuJ1CpEfFQoVlRt6MdemTRtCQkIICwtj2bJlJCYm0r59e27fvl2se9y4cYPc3FyqV6+ul169enVSUlIAuHTpEgBz5sxhzJgxhIWF8cILL/Dyyy8THx8PwMiRI/H09KRhw4Z89tlnbNy4kVu3bvHRRx+xePFiZs6cSb169fDx8eHq1avFaqsoXSqViooVK5b5oeni2SExJwxNYk4YksSbMLTyEnPF6pRasmQJ6enpuLi4ULduXerWrUudOnVIT09n8eLFJd3GcsHc3Jx58+Zx69atEq03JyenROsDsLS05Pr167pRDw+o1epij64oD2xsbLC1tS3xeo25V+J1CpEfYzR45qzAmP+NzOvevTsDBw6kadOm+Pj4sGvXLlJTU9m4cWOptePBiNi33nqLN998k+bNm7No0SLc3d1ZvXo1cH/k7NKlS0lMTOS3337jxRdfZMqUKbz99tucPn2abdu2cebMGdq2bStrEZZRxsbGeHp6louthMWzQWJOGJrEnDAkiTfDCQwMpFWrVlhZWVGtWjV8fX2Ji4srtEzHjh1RqVR5jp49e+ryZGRkEBAQQM2aNalYsSINGzZk+fLlpf04xVZeYq5YnVK1atXi1KlT7Ny5k0mTJjFp0iR27drFqVOnqFmzZkm3sVzo0qULDg4OBAYGFprvp59+olGjRpiZmeHi4sKCBQv0rru4uDB37lyGDx+OtbU1Y8eOpU6dOgA0b94clUpFx44d9coEBQXh6OiIvb09/v7+aDSFTyUzMTFh6NChui+PAFeuXCEiIoKhQ4fq5U1ISKBv375Ur16dSpUq0apVK/bs2aOXJzs7m/fee49atWphZmZGvXr1UKvVuusxMTF0796dSpUqUb16dd544w1u3Lihu56Zmcnw4cOpVKkSjo6Oed4JwK1btxg+fDiVK1fGwsKC7t2760ZkwP0RYLa2tvz66680aNCASpUq0a1bN5KTk3V5/Pz88PX11Z2HhYXx4osvYmtri729Pb169SIhIaHQd5cfLWW751k8O7QYcd24GdpCfnTb2tri5ubGxYsXi3WPKlWqYGxszLVr1/TSr127plu3ytHREbi/luDDGjRoQFJSUr717t+/n//+978EBAQQERFBjx49sLS0ZNCgQY+13pUwHK1Wy/Xr12VavjAYiTlhaBJzwpAk3gznwIED+Pv7ExkZSXh4OBqNhq5du5KZmVlgmS1btuhtHBQTE4OxsTEDBw7U5Zk8eTJhYWGsW7eO2NhYJk2aREBAANu3bzfEYz228hJzj9UptW/fPho2bEh6ejoqlYpXXnmFiRMnMnHiRFq1akWjRo04dOhQabW1TDM2Nubzzz9n8eLFXLlyJd88UVFRDBo0iMGDB3Pu3DnmzJnDrFmz8kwpCwoKwtPTk9OnTzNr1ixOnDgBwJ49e0hOTmbLli26vPv37ychIYH9+/ezZs0aQkJCijRFbeTIkWzcuJE7d+4A9zt1unXrlmfKTkZGBj169GDv3r2cPn2abt260bt3b70vnsOHD+eHH37gm2++ITY2lhUrVlCpUiUAUlNT6dy5M82bN+fkyZOEhYVx7do1Bg0apCs/bdo0Dhw4wM8//8zu3buJiIjg1KlTeu3w8/Pj5MmTbN++nWPHjqEoCj169NDrgLtz5w5BQUF8//33HDx4kKSkJKZOnVrgO8jMzGTy5MmcPHmSvXv3YmRkRL9+/R77Q6st3tJsQjw2LSZcMulZaMxlZGSQkJCg6zh6XBUqVKBFixbs3bv3f/fVatm7dy9eXl7A/c5zJyenPH9xunDhArVr185T5927d/H392fFihUYGxuTm5ur++xqNJoyvyPI80qr1XLp0qUy/4uMeHZIzAlDk5gThiTxZjhhYWH4+fnRqFEjPD09CQkJISkpiaioqALL2NnZ4eDgoDvCw8OxsLDQ65Q6evQoI0aMoGPHjri4uDB27Fg8PT1139fLmvISc4/1bfqrr75izJgx+e6YZGNjw1tvvcXChQtp3759iTWwPOnXrx/NmjVj9uzZeiOFHli4cCEvv/wys2bNAsDNzY3ff/+dL7/8Um+bys6dOzNlyhTd+YPhdvb29nl22KpcuTJLlizB2NgYDw8Pevbsyd69exkzZkyhbW3evDmurq5s3ryZN954g5CQEBYuXKhbK+YBT09PPD09dedz585l69atbN++nYCAAC5cuMDGjRsJDw+nS5cuALi6uuryL1myhObNm/P555/r0lavXk2tWrW4cOECTk5OqNVq1q1bp1uPbM2aNXoj7uLj49m+fTtHjhyhXbt2AKxfv55atWqxbds23Q8KjUbD8uXLqVu3LgABAQF88sknBb6DAQMG6J2vXr2aqlWr8vvvv9O4ceM8+bOzs8nOztadp6enF1i3EIYydepUevfuTe3atfnrr7+YPXs2xsbGDBkyBICUlBRSUlJ0I6fOnTuHlZUVzs7O2NnZAfDyyy/Tr18/AgICgPt/BRoxYgQtW7akdevWfPXVV2RmZup241OpVEybNo3Zs2fj6elJs2bNWLNmDefPn2fz5s152jh37lx69OhB8+bNAfD29mbatGm8+eabLFmyBG9v71J/T0IIIYQQ4vmUlpYGoPvdtyjUajWDBw/G0tJSl9auXTu2b9/OyJEjcXJyIiIiggsXLrBo0aISb/Pz5LE6pc6cOcO8efMKvN61a1eCgoKeuFHl2bx58+jcuXO+I3RiY2Pp27evXpq3tzdfffUVubm5us6nli1bFvl+jRo10psj6ujoyLlz54pUduTIkQQHB+Ps7ExmZiY9evRgyZIlenkyMjKYM2cOO3fuJDk5mXv37pGVlaUbKRUdHY2xsTEdOnTI9x5nzpxh//79upFTD0tISCArK4ucnBzatGmjS7ezs8uztbyJiYleHnt7e9zd3YmNjdWlWVhY6DqkHryL69evF/j88fHxfPTRRxw/fpwbN27oepCTkpLy7ZQKDAzk448/zpO+uP7vmFnbFngfIUqKSptLjRtxHHCZiGJkDKdvEH4ugZVrXuNO2i0sK9vj0qwNfupdqK+o4MoN9ixfyN6VX+rqeOmllwB4dc43tOhzv+PqVGw8qnpJZJz+/2m1bi/T9Z05THp/JrdvXsfRvTFDvt5A8F/G8Nf/5+kwDK8RNxkd8A530lJxdGvEiKWb2JRuA6f/Nz035WIs677/gbc37OeL/0/X1u2IY5uXae39IlVr1+O1z5brromyQ6XNpUZaDgfO3Lwfb0KUMok5YWgSc8KQJN4M4/3mVfTOtVotkyZNwtvbO9/vePk5ceIEMTExeQaaLF68mLFjx1KzZk1MTEwwMjJi1apVut+vRfE8VqfUtWvXMDU1LbgyExP+/vvvJ25UefbSSy/h4+PDjBkz9EY/PY6He2P/zaP/P1QqVZGH573++utMnz6dOXPm8MYbb2Bikjccpk6dSnh4OEFBQdSrV4+KFSvy6quv6hZgr1ixYqH3yMjIoHfv3vl2Zjo6OhZ73Zv85PcuFKXgnfEejC5ZtWoVTk5OaLVaGjduXODi8jNmzGDy5Mm68/T0dGrVqgVlfDcD8QxRqbhbwVIv5oZ8sarQIl3GTafLuOmF5nlv56k8ae0Gj6bd4NGFluv45jt0fPOdQvM41GvA1J/1hzQbGRnhO2M+vjPmF1pWPGX5xJsQpUpiThiaxJwwJIm3p8Lf35+YmBgOHz5c5DJqtZomTZrQunVrvfTFixcTGRnJ9u3bqV27NgcPHsTf3x8nJyfdrKGyRKVSYWNjU+Z333usTqkaNWoQExNDvXr18r1+9uzZYq9j8iz54osvaNasmd5oH7i/CPCRI0f00o4cOYKbm1uhK+JXqFABoMTXXbGzs6NPnz5s3LixwF0Djhw5gp+fH/369QPudzJdvnxZd71JkyZotVoOHDiQ7wfxhRde4KeffsLFxSXfTq+6detiamrK8ePHdTv/3bp1iwsXLuhGXzVo0IB79+5x/Phx3fS9mzdvEhcXl2eh5aJ6UH7VqlW66ab/9oPKzMwMMzOzPOmKqlj7BQjx2BSVETds867ZJERpkHgThiYxJwxNYk4YksSb4QUEBLBjxw4OHjxY5A3ZMjMz2bBhQ55lYLKysvjggw/YunWrbke+pk2bEh0dTVBQUJnslDI2NqZBgwZPuxn/6rG+Tffo0YNZs2Zx9+7dPNeysrKYPXs2vXr1KrHGlVdNmjTh9ddf55tvvtFLnzJlCnv37mXu3LlcuHCBNWvWsGTJkkIX4waoVq0aFStW1C0S/mBObEkICQnhxo0beHh45Hu9fv36bNmyhejoaM6cOcPQoUP1RmK5uLgwYsQIRo4cybZt20hMTCQiIkK3Hb2/vz///PMPQ4YM4bfffiMhIYFff/2VN998k9zcXCpVqsSoUaOYNm0a+/btIyYmBj8/P4yMjPTa0LdvX8aMGcPhw4c5c+YMw4YNo0aNGnmmQxZV5cqVsbe3Z+XKlVy8eJF9+/bpjYJ6LErZXjhOPEMULdaZf0vMCcOQeBOGJjEnDE1iThiSxJvBKIpCQEAAW7duZd++fbrd7Iti06ZNZGdnM2zYML10jUaDRqPR+54K9zt+yupC4lqtlitXrpTZ9j3wWJ1SM2fO5J9//sHNzY358+fz888/8/PPPzNv3jzc3d35559/+PDDD0urreXKJ598kud//gsvvMDGjRvZsGEDjRs35qOPPuKTTz7512l+JiYmfPPNN6xYsQInJ6did8Tkp2LFitjb2xd4feHChVSuXJl27drRu3dvfHx8eOGFF/TyLFu2jFdffZUJEybg4eHBmDFjdNttOjk5ceTIEXJzc+natStNmjRh0qRJ2Nra6j7QX375Je3bt6d379506dKFF198kRYtWujdIzg4mBYtWtCrVy+8vLxQFIVdu3YVOp20MEZGRmzYsIGoqCgaN27Mu+++y5dffvnvBfOhKmSKoBAlSaUoWGf+LTEnDELiTRiaxJwwNIk5YUgSb4bj7+/PunXrCA0NxcrKSrfxT1ZWli7P8OHDmTFjRp6yarUaX1/fPN+Rra2t6dChA9OmTSMiIoLExERCQkJYu3atblZRWVNeOqVQHtPly5eV7t27K0ZGRopKpVJUKpViZGSkdO/eXbl06dLjVidEuZWWlqYAys2bN592U8RzQqPRKMeOHVM0Go1e+uzZsxVA73B3d9ddX7FihdKhQwfFyspKAZRbt279670OHDig9OrVS3F0dFQAZevWrXny3L59W/H391dq1KihmJubKw0aNFCWLVuml+fdd99VKleurNSsWVNZt26d3rWNGzcqvXr1KvoLEAZVULwJUVok5oShScwJQ5J4M5xHfy9+cAQHB+vydOjQQRkxYoReufPnzyuAsnv37nzrTU5OVvz8/BQnJyfF3NxccXd3VxYsWKBotdpSfJrie9ox9+D7clpaWqH5HmtNKYDatWuza9cubt26xcWLF1EUhfr161O5cuUS6SQTQgjx+Bo1asSePXt05w+v4Xbnzh26detGt27d8v2LUH4yMzPx9PRk5MiR9O/fP988kydPZt++faxbtw4XFxd2797NhAkTcHJyok+fPvznP/8hNDSU3bt3Ex8fz8iRI/Hx8aFKlSqkpaXx4Ycf6rVZCCGEEEKIJ6UUYTRaREREnjR3d/dCyzo4OBAcHPwkTRP5eOxOqQcqV65Mq1atSrItQpRLj84rFqK0GBkZUbVq1XxjzsTEBAcHh3zLTZo0Ccj/H9+CdO/ene7duxea5+jRo4wYMYKOHTsCMHbsWFasWMGJEyfo06cPsbGxdOzYkZYtW9KyZUsmTZpEYmIiVapUYfr06YwfP163wYEoewqLNyFKg8ScMDSJOWFIEm/C0MpLzBW7U0qIxxUREUGnTp24desWtra2hISEMGnSJFJTU0v1vpcvX6ZOnTqcPn2aZs2alXj9Rpsrg0WJVytEHkZAXYDjDyUOvf/XnPj4eJycnDA3N8fLy4vAwMBS7/Bp164d27dvZ+TIkTg5OREREcGFCxdYtGgRAJ6enqxcuZJbt25x6dIlsrKyqFevHocPH+bUqVN8++23pdo+8WSMjIyoW7fu026GeI5IzAlDk5gThiTxJgytvMRc2e4yE+XSsWPHMDY21m2V+bTVqlWL5ORkGjduXCr1azEulXqFeJQWExJMeqJ95O8Jbdq0ISQkhLCwMJYtW0ZiYiLt27fn9u3bpdqexYsX07BhQ2rWrEmFChXo1q0bS5cu5aWXXgLAx8eHYcOG0apVK/z8/FizZg2WlpaMHz+e5cuXs2zZMtzd3fH29ua///1vqbZVPD6tVktCQkLZXxxTPDMk5oShScwJQ5J4E4ZWXmJOOqVEiVOr1UycOJGDBw/y119/Pe3mYGxsjIODg94aOyVJKx8jYSBajPjbuFmemOvevTsDBw6kadOm+Pj4sGvXLlJTU9m4cWOptmfx4sVERkayfft2oqKiWLBgAf7+/nrrRM2ZM4eLFy9y7tw5+vXrR2BgIF26dMHU1JRPP/2Uw4cPM3r0aIYPH16qbRWPT6vV8vfff5f5X2TEs0NiThiaxJwwJIm3pyMwMJBWrVphZWVFtWrV8PX1JS4urtAyHTt2RKVS5TkeHnRx7do1/Pz8cHJywsLCgm7duhEfH1/aj/NYykvMybdpUaIyMjL48ccfGT9+PD179iQkJORfy2zbto369etjbm6Oj48Pf/75p+5aQkICffv2pXr16lSqVIlWrVrlWRjZxcWFzz//nJEjR2JlZYWzszMrV67UXb98+TIqlYro6GgAcnNzGTVqFHXq1KFixYq4u7vz9ddfl8jzC1EW2Nra4ubmxsWLF0vtHllZWXzwwQcsXLiQ3r1707RpUwICAnjttdcICgrKt8z58+dZt24dc+fOJSIigpdeeomqVasyaNAgTp06Veoju4QQQgghxPPlwIED+Pv7ExkZSXh4OBqNhq5du5KZmVlgmS1btpCcnKw7YmJiMDY2ZuDAgcD9hdR9fX25dOkSP//8M6dPn6Z27dp06dKl0HpF/qRTSpSojRs34uHhgbu7O8OGDWP16tWF7mBw584dPvvsM9auXcuRI0dITU1l8ODBuusZGRn06NGDvXv3cvr0abp160bv3r1JSkrSq2fBggW0bNmS06dPM2HCBMaPH19gD7hWq6VmzZps2rSJ33//nY8++ogPPvjgX0eVZGdnk56erncIURZlZGSQkJCAo6Njqd1Do9Gg0WjyLJxobGyc719jFEXhrbfeYuHChVSqVInc3Fw0Go2uLrjfYSyEEEIIIURJCQsLw8/Pj0aNGuHp6UlISAhJSUlERUUVWMbOzg4HBwfdER4ejoWFha5TKj4+nsjISJYtW0arVq1wd3dn2bJlZGVl8cMPPxjq0Z4ZstC5KFFqtZphw4YB0K1bN9LS0jhw4IBud65HaTSa/2Pv3uN6vv//j9/eHZSSQpGIHHNKGHKcw5qwRbaxleWYY81pTG1SZsmZj1NOUUPDZtjPHOaUzVmRzcREZmOh1jl0ev3+6Ou9vddBqHfhcb1c3peL1+v1fD5fz9fbvcP72ev1fLJixQocHBwACA0NpWnTppw9e5b27dtjb2+Pvb29uvzs2bPZuXMn3333HV5eXur9ffv2Zfz48QBMnz6dJUuWcPToUWxtbfOdU19fn1mzZqm369Wrx6lTp9i+fTuDBg0q9NoCAwM16j22rHE0hiamRbwrQpQQJZfKGQmEG00A1f8NBl2IZ+8SP5q83osqNa1JuR/HodXzyVR0uNeiF3MvxJMaf5fUhHvcvhwFwPQdP2FgXAkzy9oYmVYBYP2Yd2jWoy+dPvAA4FFGGgl/xKpPvf6nSxx5aIpR5SqY1awNQL3XOjH8oyn0m56JWc3axEaeZFfol7w15XPmXojX6PrZbzfxt35lfq3dkV8vxPOHeXP2HfJjfOh+rp44TPX6tqyOzQY064kypORSOduU8J///idvQpQmyZzQNsmc0CbJm9Z5tzbPty85ORnIG3gqruDgYD744AOMjY2BvJsVAAwNDdVldHR0MDAwUE9NUR7o6OhQu3ZtWX1PvDquXr3K2bNn2blzJ5C3RP37779PcHBwoYNSenp6tGvXTr3dpEkTzMzMiI6Opn379qSlpeHv78/333/PX3/9RXZ2Ng8ePMh3p1TLli3V/1apVFhaWnLv3r1C+7py5Uo2bNjArVu3ePDgAZmZmU9cmc/Hx4cpU6aot1NSUrC2tpYfKkJ7VDqkGFvk25189w5bfcaQkZyIcZVq2LRyYFzoPipVyftBfOabUA6vXaAuv9ajHwDv+S/jtX6uACT8eZOMpL/VZW5fvsi60S7q7e8X+wLQxvl9Bs5aAYBr4FoOLP+CbZ+NJSMliSo1a9PL81Mc3hum0b/UhHscDV7CuJC96n3WLdrQ9cPxhEx0o1IVcwZ+vuI53hhRKgrJmxClRjIntE0yJ7RJ8lbmcnNzmTRpEp07dy72Ilhnz57l0qVLBAcHq/c1adKEOnXq4OPjw5o1azA2NmbJkiX8+eef/PXXX6XV/af2eFCqvJNBKVFigoODyc7OxsrKSr1PURQMDAxYseLZPnBOnTqVgwcPsnDhQho2bEjFihV57733yMzM1Cinr6+vsa1SqQqd0G3r1q1MnTqVRYsW0bFjR0xMTFiwYAFnzpwpsi8GBgYYGBjk269SyvfEceLloVJyqZb8Bwmm1ij/Ggx1nbuuyHqOYz/BcewnRZaZ/v15je36bTsTeP5+kXVMzGvw3qzlT+g1mFSrnq99gDdGT+WN0VOfWF+UjcLyJkRpkcwJbZPMCW2SvJU9T09PLl26xPHjx4tdJzg4GDs7O9q3b6/ep6+vz7fffsvIkSOpWrUqurq6ODo60qdPnyKnrtG2nJwcfvvtNxo3boyubvldMV4GpUSJyM7O5ssvv2TRokX06tVL45iLiwtfffUVTZo0KbBeRESE+ov86tWrJCUl0bRpUwBOnDjBsGHDGDBgAJA3V87Nmzefq68nTpygU6dO6sf9IG9C9WdWjr7xiJecomCYmZ6XOVVZd0a89CRvQtskc0LbJHNCmyRvZcrLy4s9e/bw448/FvvuofT0dLZu3crnn3+e79hrr71GVFQUycnJZGZmYmFhgYODA23bti3prj8zRVFITk4uVwNlBZEhWlEi9uzZQ2JiIiNHjqRFixYar3fffVfjdsd/09fX56OPPuLMmTNERkYybNgwOnTooB6katSoEd9++y1RUVFcvHgRNze3517SslGjRkRERHDgwAF+++03fH19OXfu3HO1KYQQQgghhBCifFEUBS8vL3bu3MmRI0eoV69eset+/fXXPHr0SD1nckFMTU2xsLDg2rVrRERE0L9//5Lo9itFBqVEiQgODsbR0RFT0/wTfr/77rtERETw888/5ztmZGTE9OnTcXNzo3PnzlSqVIlt27apjy9evJgqVarQqVMnnJ2dcXJyok2bNs/V1zFjxvDOO+/w/vvv4+DgQEJCgsZdU0IIIYQQQgghXnyenp5s3ryZsLAwTExMiIuLIy4ujgcPHqjLDBkyBB8fn3x1g4ODcXFxoVq1avmOff3114SHh3Pjxg12797Nm2++iYuLS76nhsSTqZTyfi+XEOVUSkoKpqamJCYmYmZmVtbdEa+A3Nxc4uPjMTc311hFw9/fP9/KkLa2tly5cgWAtWvXEhYWxvnz50lNTX3qzM6dOxcfHx8mTpzI0qVLNY6dOnWKzz77jDNnzqCrq0urVq04cOAAFStW5NGjR3h4eLB7924sLS1ZtWoVjo6O6roLFizg1q1bLF/+5HmphPYVljchSotkTmibZE5ok+StbKhUBT8ruXHjRoYNGwZA9+7dsbGxISQkRH386tWrNGnShB9++IE333wzX/1ly5axYMEC7t69S82aNRkyZAi+vr5UqFChNC7jmZR15h5/Xk5OTqZy5cqFlpM5pYR4TvJDRWiLjo4O1atXL/BY8+bNOXTokHpbT++fb+8ZGRn07t2b3r17F/hXoKKcO3eONWvWaKxw+dipU6fUbS5fvhw9PT0uXryo/ppYu3YtkZGRnDp1in379uHm5sbdu3dRqVTExsaybt06IiIinqo/QnuKypsQpUEyJ7RNMie0SfJWNopzD054eHi+fba2tkXWnTBhAhMmTHierpW6FyVz8mlaiOeUk5NT1l0Qr4icnBwuXrxYYOb09PSwtLRUv8zNzdXHJk2ahLe3Nx06dHiq86WlpTF48GDWrVtHlSpV8h2fPHkyEyZMwNvbm+bNm2Nra8ugQYPUq1RGR0fTr18/mjdvjqenJ/fv3yc+Ph6AcePGMW/evCL/aiLKVlF5E6I0SOaEtknmhDZJ3oS2vSiZkzulRLnXvXt3WrVqle+xoZLm7+/Prl27iIqKeqp6yo4aYJRVOp0S4l8UKvDAYBrKr+2BzLydbnl/wbl27RpWVlYYGhrSsWNHAgMDqVOnznOdz9PTk7feegtHR0e++OILjWP37t3jzJkzDB48mE6dOnH9+nWaNGlCQEAAXbp0AcDe3p5Nmzbx4MEDDhw4QM2aNTE3N2fLli0YGhqqV9UU5ZOiKDx48KDcr9giXh6SOaFtkjmhTZI3oW0vSubkTilRqoYNG4aLi0tZd0OIl5qDgwMhISHs37+foKAgYmNj6dq1K6mpqc/c5tatWzl//jyBgYEFHr9x4waQN5g7atQo9u/fT5s2bXjjjTe4du0aACNGjMDe3p5mzZoREBDA9u3bSUxMZObMmSxfvpwZM2bQsGFDnJycuH379jP3VQghhBBCCPFikkEpUWYyMzPLugtCvBT69OnDwIEDadmyJU5OTuzdu5ekpCS2b9/+TO398ccfTJw4UX1HU0Fyc3OBvNUshw8fTuvWrVmyZAm2trZs2LABAH19fVauXElsbCznzp2jS5cufPzxx0yYMIELFy6wa9cuLl68SIcOHcr9M/lCCCGEEOLFFBgYSLt27TAxMaF69eq4uLhw9erVJ9ZbunQptra2VKxYEWtrayZPnszDhw81yqxcuRIbGxsMDQ1xcHDg7NmzpXUZLy0ZlBJa0717d7y8vJg0aRLm5uY4OTkBcOnSJfr06UOlSpWoUaMG7u7u6nlnCrJp0ybatm2LiYkJlpaWuLm5ce/ePfXx8PBwVCoVhw8fpm3bthgZGdGpU6d833jmzp1LjRo1MDExYeTIkfm+wRSXLtnPVE+Ip6VLNk2yvnpi5szMzGjcuDExMTHPdJ7IyEju3btHmzZt0NPTQ09Pj2PHjrFs2TL09PTIycmhZs2aADRr1kyjbtOmTbl161aB7R49epRff/0VLy8vwsPD6du3L8bGxgwaNKjACSZF2dLV1aVJkybo6uqWdVfEK0IyJ7RNMie0SfJWdo4dO4anpyenT5/m4MGDZGVl0atXL9LT0wutExYWhre3N35+fkRHRxMcHMy2bdv49NNP1WW2bdvGlClT8PPz4/z589jb2+Pk5KTx2bQsvSiZk0EpoVWhoaFUqFCBEydOsHr1apKSkujZsyetW7cmIiKC/fv3c/fuXQYNGlRoG1lZWcyePZuLFy+ya9cubt68qV7O898+++wzFi1aREREBHp6eowYMUJ9bPv27fj7+zNnzhwiIiKoWbMmq1atKrLvjx49IiUlReMFoKJ8P6MrXh4qcjHLvYGK3CLLpaWlcf36dfXA0dN64403+OWXX4iKilK/2rZty+DBg4mKikJXVxcbGxusrKzyDfb+9ttv1K1bN1+bDx8+xNPTkzVr1qCrq0tOTg5ZWXlzsWVlZZX7CRhfRSqVCjMzs0KXUhaipEnmhLZJ5oQ2Sd7Kzv79+xk2bBjNmzfH3t6ekJAQbt26RWRkZKF1Tp48SefOnXFzc8PGxoZevXrh6uqqcSfU4sWLGTVqFMOHD6dZs2asXr0aIyMj9VMDZe1FyZxMdC60qlGjRsyfP1+9/cUXX9C6dWvmzJmj3rdhwwasra357bffaNy4cb42/j24VL9+fZYtW0a7du1IS0ujUqVK6mMBAQF069YNAG9vb9566y0ePnyIoaEhS5cuZeTIkYwcOVLdj0OHDhV5t1RgYCCzZs3Kt39Jo2sYVDYr/psgxDNS5eZg9fc17lRthKLzf3/xuBDP3iV+NHm9F1VqWpNyP45Dq+eTqehwr0Uv5l6IJzX+LqkJ97h9OQqA6Tt+wsC4EmaWtTEyzVtVb/2Yd2jWoy+dPvD4v7NZapw7QanAjRwj9mRZsudC3p2MrV3HsWDpfG5UrkfNxi04v2cbl6Kv4DhrLXMvaN7teGBFAOZte3AAaw5ciOe+lR37ls4it4MLJ7euw9KuXb46omwVmDchSpFkTmibZE5ok+StbHi3Ns+3Lzk5GYCqVasWWq9Tp05s3ryZs2fP0r59e27cuMHevXtxd3cH8qaiiYyMxMfHR11HR0cHR0dHTp06VcJX8Wyys7O5cOECrVu3Rk+v/A79lN+eiZfSa6+9prF98eJFjh49qjGY9Nj169cLHJSKjIzE39+fixcvkpiYqJ7b5tatWxqPErVs2VL978d3jNy7d486deoQHR3N2LFjNdrt2LEjR48eLbTvPj4+TJkyRb2dkpKCtbV1UZcrRIlT5ea/Syr57h22+owhIzkR4yrVsGnlwLjQfVSqkvdD+Mw3oRxeu0Bdfq1HPwDe81/Ga/1cAUj48yYZSX8/VV+6DB5LduYjvl/kS0ZyEjUbN2fkqq+pZl1Po1xcTDS/HNzNhK3/fH21cOzHjciTrPFwxqJuQ94PWP1U5xbaUVDehChNkjmhbZI5oU2St7KXm5vLpEmT6Ny5My1atCi0nJubG/Hx8XTp0gVFUcjOzmbs2LHqx/fi4+PJycmhRo0aGvVq1KjBlStXSvUansaL8DSCDEoJrTI2NtbYTktLw9nZmXnz5uUrW9CjR+np6Tg5OeHk5MSWLVuwsLDg1q1bODk55Zs4XV9fX/3vx7cs5j7HDwIDAwMMDAyeub4QpcV17roijzuO/QTHsZ8UWWb69+eLPD563e4C93cfPpHuwycWWdeyYVOm7tac9FFHRwcXn/m4+MwvpJYQQgghhBAly9PTk0uXLnH8+PEiy4WHhzNnzhxWrVqFg4MDMTExTJw4kdmzZ+Pr66ul3r4aZFBKlKk2bdqwY8cObGxsinVL4ZUrV0hISGDu3Lnqu5QiIiKe+rxNmzblzJkzDBkyRL3v9OnTT92OEEIIIYQQQojyz8vLiz179vDjjz9Su3btIsv6+vri7u6Oh0fe1BZ2dnakp6czevRoPvvsM8zNzdHV1eXu3bsa9e7evYulpWVBTYpCyETnokx5enry999/4+rqyrlz57h+/ToHDhxg+PDhBd5qWKdOHSpUqMDy5cu5ceMG3333HbNnz37q806cOJENGzawceNGfvvtN/z8/Pj111+f6RoUlXwZCe1QVDrEVW0gmRNaIXkT2iaZE9ommRPaJHkrO4qi4OXlxc6dOzly5Aj16tV7Yp2MjAx0dDT/rx6vYqcoChUqVOC1117j8OHD6uO5ubkcPnyYjh07luwFPCNdXV1atmwpq+8JURQrKytOnDhBTk4OvXr1ws7OjkmTJmFmZpbvmwCAhYUFISEhfP311zRr1oy5c+eycOHCpz7v+++/j6+vL5988gmvvfYav//+O+PGjSuJSxKiVOXoyA2uQnskb0LbJHNC2yRzQpskb2XD09OTzZs3ExYWhomJCXFxccTFxfHgwQN1mSFDhmhMWu7s7ExQUBBbt24lNjaWgwcP4uvri7Ozs3qQZ8qUKaxbt47Q0FCio6MZN24c6enpDB8+XOvXWJgKFSqUdReeTBFCPJPk5GQFUBISEsq6K+IVkZWVpZw6dUrJysrKd8zPz08BNF62trbq42vWrFG6deummJiYKICSmJj4xPM9qc1/y83NVXr37q0Ays6dO9X7ExISlLffflsxNjZWWrVqpZw/f16j3vjx45WFCxcW7w0QWlVU3oQoDZI5oW2SOaFNkrey89/fZx+/Nm7cqC7TrVs3ZejQoertrKwsxd/fX2nQoIFiaGioWFtbK+PHj8/3O/Ty5cuVOnXqKBUqVFDat2+vnD59WjsXVQxlnbnHn5eTk5OLLCdDtUII8ZJo3rw5hw4dUm//e562jIwMevfuTe/evTX+CvQ8bf7b0qVL1QsK/FtAQACpqamcP3+eoKAgRo0apZ4H7vTp05w5c4Zly5YVuz9CCCGEEEI8DUVRnlgmPDxcY1tPTw8/Pz/8/PyKrOfl5YWXl9fzdO+VJ4NSQgjxktDT0yt0YsVJkyYB+X/gPk+bj0VFRbFo0SIiIiLyrZoZHR3NBx98QOPGjRk9ejRr164FICsri7Fjx7J+/fpy/5y7EEIIIYQQonTIoJQQz+tbSzDKKuteiFdCBTCYBje6AZn/7HbL++vPtWvXsLKywtDQkI4dOxIYGEidOnWe64xPajMjIwM3NzdWrlxZ4OCVvb09R44cwcPDgwMHDtCyZUsA5s+fT/fu3Wnbtu1z9U8IIYQQQgjx4pKJzkWJGTZsGCqVirlz52rs37VrV4GP9bwsdJEBKaEdumTS9tECdP89IPV/HBwcCAkJYf/+/QQFBREbG0vXrl1JTU195vMVp83JkyfTqVMn+vfvX2Ab3t7e6Onp0aBBA3bu3ElwcDDXrl0jNDQUX19fxo4dS/369Rk0aBDJycnP3FdR8nR1dWnbtq3cySa0RjIntE0yJ7RJ8ia07UXJnAxKiRJlaGjIvHnzSExMLLE2MzPzfwAX4tWkIlNVGcg/yNunTx8GDhxIy5YtcXJyYu/evSQlJbF9+/ZnPtuT2vzuu+84cuQIS5cuLbQNU1NTwsLC+P333zl27BjNmjVjzJgxLFiwgC1btnDjxg2uXr2KkZERn3/++TP3VZQO+f4rtE0yJ7RNMie0SfJWtgIDA2nXrh0mJiZUr14dFxcXrl69+sR6S5cuxdbWlooVK2Jtbc3kyZN5+PChRpmVK1diY2ODoaEhDg4OnD17trQu46m8CJmTQSlRohwdHbG0tCQwMLDQMjt27KB58+YYGBhgY2PDokWLNI7b2Ngwe/ZshgwZQuXKlRk9ejTvvfeexgRykyZNQqVSceXKFSDvi83Y2Fg9IfP+/fvp0qULZmZmVKtWjbfffpvr16+r6/fs2TPfhHT379+nQoUKHD58+KmuOQf9pyovxLPKQZ+fK4wpVubMzMxo3LgxMTExJXb+/7Z55MgRrl+/jpmZGXp6eupJ0N999126d+9eYBsbN27EzMyM/v37Ex4ejouLC/r6+gwcOPCp57sSpSsnJ4eff/6ZnJycsu6KeEVI5oS2SeaENkneyt6xY8fw9PTk9OnTHDx4kKysLHr16kV6enqhdcLCwvD29sbPz4/o6GiCg4PZtm0bn376qbrMtm3bmDJlCn5+fpw/fx57e3ucnJy4d++eNi6rUC9K5mRQSpQoXV1d5syZw/Lly/nzzz/zHY+MjGTQoEF88MEH/PLLL/j7++Pr60tISIhGuYULF2Jvb8+FCxfw9fWlW7duGh9Yjx07hrm5uXrfuXPnyMrKolOnTgCkp6czZcoUIiIiOHz4MDo6OgwYMIDc3FwAPDw8CAsL49GjR+o2N2/eTK1atejZs2eB1/bo0SNSUlI0XkKUV2lpaVy/fj3fxOMl2aa3tzc///wzUVFR6hfAkiVL2LhxY7769+/f5/PPP2f58uVA3g/KrKy8x1+zsrLK/Q9MIYQQQgjx4tq/fz/Dhg2jefPm2NvbExISwq1bt4iMjCy0zsmTJ+ncuTNubm7Y2NjQq1cvXF1dNe6EWrx4MaNGjWL48OE0a9aM1atXY2RkxIYNG7RxWS88mehclLgBAwbQqlUr/Pz8CA4O1ji2ePFi3njjDXx9fQFo3Lgxly9fZsGCBQwbNkxdrmfPnnz88cfq7e7duzNx4kTu37+Pnp4ely9fxtfXl/DwcMaOHUt4eDjt2rXDyMgIyLtT4982bNiAhYUFly9fpkWLFrzzzjt4eXmxe/duBg0aBEBISIh6XqyCBAYGMmvWrHz7lze6jEFls6d+n4R4WqrcHGrFX+WYzUcoOv96NvxCPHuX+NHk9V5UqWlNyv04Dq2eT6aiw70WvZh7IZ7U+LukJtzj9uUoAKbv+AkD40qYWdbGyLQKAOvHvEOzHn3p9IEHwBPbzPsRkn9y83PZZmQkmcCFeI39Wz8bh92gMWy6ZwD34sm0acWCNRv5vXY7vl+ygqqN2/xfu6I8UOXmUCs5k2MXEzTzJkQpkcwJbZPMCW2SvJUt79bm+fY9ns+0atWqhdbr1KkTmzdv5uzZs7Rv354bN26wd+9e3N3dgbwndiIjI/Hx8VHX0dHRwdHRkVOnTpXwVbyc5E4pUSrmzZtHaGgo0dHRGvujo6Pp3Lmzxr7OnTtz7do1jbsk/rsiV4sWLahatSrHjh3jp59+onXr1rz99tscO3YMyLtz6t+PC127dg1XV1fq169P5cqVsbGxAeDWrVtA3txX7u7u6tHr8+fPc+nSJY2Bsf/y8fEhOTlZ/frjjz+e6j0RoiQoOgV/206+e4etPmNYNKAjYdM9MDKtwrjQfVSqkvcD+Mw3oSx37cm3s6cAsNajH8tdexJ9bL+6jYQ/b5KR9Hex23wav508QsIfsXQYNEK9r+P7I6lauy6rhjqRk5XFG2OmPXW7onQVljchSotkTmibZE5ok+St/MjNzWXSpEl07tyZFi1aFFrOzc2Nzz//nC5duqCvr0+DBg3o3r27+vG9+Ph4cnJyqFGjhka9GjVqEBcXV6rXUBzlfZJzkDulRCl5/fXXcXJywsfHp8iBnsIYGxtrbKtUKl5//XXCw8MxMDCge/futGzZkkePHnHp0iVOnjzJ1KlT1eWdnZ2pW7cu69atw8rKitzcXFq0aKEx0ZuHhwetWrXizz//ZOPGjfTs2ZO6desW2icDAwMMDAzy7Ze/dAhtUXR0uW3epMBjrnPXFVnXcewnOI79pMgy078//1RtFiTw/P0C9zfu1JPGnTQfja1Q0Qi3ecEFlhdlr6i8CVEaJHNC2yRzQpskb+WLp6cnly5d4vjx40WWCw8PZ86cOaxatQoHBwdiYmKYOHEis2fPVj/9U17p6enRrl27su7GE8mglCg1c+fOpVWrVtja2qr3NW3alBMnTmiUO3HiBI0bN37iKG63bt1Yt24dBgYGBAQEoKOjw+uvv86CBQt49OiR+g6shIQErl69yrp16+jatStAgd9s7OzsaNu2LevWrSMsLIwVK1Y824UqyrPVE+JpKQqGWek81DeGQh4zFaLESN6EtknmhLZJ5oQ2Sd7KDS8vL/bs2cOPP/5I7dq1iyzr6+uLu7s7Hh5501vY2dmRnp7O6NGj+eyzzzA3N0dXV5e7d+9q1Lt79y6WlvmnudAmRVFITk7G1NS00ClqygO5f1CUGjs7OwYPHsyyZcvU+z7++GMOHz7M7Nmz+e233wgNDWXFihUadzkVpnv37ly+fJlff/2VLl26qPdt2bKFtm3bqu+uqlKlCtWqVWPt2rXExMRw5MgRpkyZUmCbHh4ezJ07F0VRGDBgwDNdp0rJfaZ6QjwtlZKLedItyZzQCsmb0DbJnNA2yZzQJslb2VMUBS8vL3bu3MmRI0eoV6/eE+tkZGSg85/HLh/fTKEoChUqVOC1117TWME9NzeXw4cP07Fjx5K9gKeUk5PDlStXyv1iQjIoJUrV559/rl7xDqBNmzZs376drVu30qJFC2bOnMnnn39erEf87OzsMDMzo1WrVlSqVAnIG5TKycnRmE9KR0eHrVu3EhkZSYsWLZg8eTILFiwosE1XV1f09PRwdXXF0NDwua5VCCGEEEIIIUT55OnpyebNmwkLC8PExIS4uDji4uJ48OCBusyQIUM0Ji13dnYmKCiIrVu3Ehsby8GDB/H19cXZ2Vk9ODVlyhTWrVunnlN53LhxpKenM3z4cK1f4wtJEeIVFhsbq+jo6CiRkZFPXTc5OVkBlISEhFLomRD5ZWVlKadOnVKysrLyHfPz81MAjZetra36+Jo1a5Ru3bopJiYmCqAkJiY+8Xx169bN1yagjB8/Xl0mJiZGcXFxUczNzRUTExNl4MCBSlxcnPr4w4cPlQ8//FAxMTFRGjVqpBw8eFDjHPPnz1e8vLye4d0Qpa2ovAlRGiRzQtskc0KbJG9lr6DfawFl48aN6jLdunVThg4dqt7OyspS/P39lQYNGiiGhoaKtbW1Mn78+Hy/Sy9fvlypU6eOUqFCBaV9+/bK6dOntXNRRSjrzD3+vJycnFxkOZlTSrySsrKySEhIYMaMGXTo0IE2bdo8c1vl+flc8XJRqVRUrFix0Mw1b96cQ4cOqbf19P75Fp+RkUHv3r3p3bu3xl9/inLu3DmN230vXbrEm2++ycCBAwFIT0+nV69e2Nvbc+TIEQD1X45Onz6Njo4Oa9euJTIyklOnTrFv3z7c3Ny4e/cuKpWK2NhY1q1bR0RExFO/F6L0PSlvQpQ0yZzQNsmc0CbJW9lTijEXcHh4uMa2np4efn5++Pn5FVnPy8sLLy+v5+leiXtRMqdSivM/I8RLJjw8nB49etC4cWO++eYb7OzsnrqNlJQUTE1NSU5OpnLlyqXQSyGKz9/fn127dhEVFVVkucfZT0xMxMzM7KnOMWnSJPbs2cO1a9dQqVT88MMP9OnTh8TERPXXQHJyMlWqVOGHH37A0dGR8ePHU7lyZebOncuDBw8wMjLi3r17WFhY0Lt3b8aMGfPM87kJIYQQQgghyqfifl6WO6XES8HGxoZJkyYxadKkYpXv3r17sUbKiyN3uxkYydiuKH256BCv2xLznJ/R4V+TZLrl5e/atWtYWVlhaGhIx44dCQwMpE6dOiVy7szMTDZv3syUKVPUf2159OgRKpUKAwMDdTlDQ0N0dHQ4fvw4jo6O2Nvbs2nTJh48eMCBAweoWbMm5ubmbNmyBUNDQxmQKsdyc3OJj4/H3Nw83wSfQpQGyZzQNsmc0CbJm9C2FyVz5bdnosTcv3+fcePGUadOHQwMDLC0tMTJyYkTJ06U6nlv3ryJSqVCV1eX27dvaxz766+/0NPTQ6VScfPmzec+17lz5xg9evRzt/MscmVsV2hJLnrc0HurwMw5ODgQEhLC/v37CQoKIjY2lq5du5Kamloi5961axdJSUkaixJ06NABY2Njpk+fTkZGBunp6UydOpWcnBz++usvAEaMGIG9vT3NmjUjICCA7du3k5iYyMyZM1m+fDkzZsygYcOGODk55fs+IcpWbm4uN27c0FisQojSJJkT2iaZE9okeRPa9qJkTgalXgHvvvsuFy5cIDQ0lN9++43vvvuO7t27k5CQoJXz16pViy+//FJjX2hoKLVq1XrutjMzMwGwsLDAyMjoudsT4kXVp08fBg4cSMuWLXFycmLv3r0kJSWxffv2Emk/ODiYPn36YGVlpd5nYWHB119/zf/7f/+PSpUqYWpqSlJSEm3atFH/NUZfX5+VK1cSGxvLuXPn6NKlCx9//DETJkzgwoUL7Nq1i4sXL9KhQwcmTJhQIn0VQgghhBCiIIGBgbRr1w4TExOqV6+Oi4sLV69efWK9pUuXYmtrS8WKFbG2tmby5Mk8fPhQo8zKlSuxsbHB0NAQBwcHzp49W1qX8VKRQamXXFJSEj/99BPz5s2jR48e1K1bl/bt2+Pj40O/fv3U5RYvXoydnR3GxsZYW1szfvx40tLS1MdDQkIwMzPjwIEDNG3alEqVKtG7d2/13RBFGTp0KBs3btTYt3HjRoYOHaqxLycnh5EjR1KvXj0qVqyIra0t//vf/zTKDBs2DBcXFwICArCyssLW1hbIe3xv6dKl6nIqlYr169czYMAAjIyMaNSoEd99951GW8eOHaN9+/YYGBhQs2ZNvL29yc7OfuL1CPEiMDMzo3HjxsTExDx3W7///juHDh3Cw8Mj37FevXpx/fp17t27R3x8PJs2beL27dvUr1+/wLaOHj3Kr7/+ipeXF+Hh4fTt2xdjY2MGDRqUb2JJIYQQQgghStKxY8fw9PTk9OnTHDx4kKysLHr16kV6enqhdcLCwvD29sbPz4/o6GiCg4PZtm0bn376qbrMtm3bmDJlCn5+fpw/fx57e3ucnJy4d++eNi7rhSaDUi+5SpUqUalSJXbt2sWjR48KLaejo8OyZcv49ddfCQ0N5ciRI3zyyScaZTIyMli4cCGbNm3ixx9/5NatW0ydOvWJfejXrx+JiYkcP34cgOPHj5OYmIizs7NGudzcXGrXrs3XX3/N5cuXmTlzJp9++mm+Oz0OHz7M1atXOXjwIHv27Cn0vLNmzWLQoEH8/PPP9O3bl8GDB/P3338DcPv2bfr27Uu7du24ePEiQUFBBAcH88UXXxTa3qNHj0hJSdF4AaiQ+aSEdqhQMM29UazMpaWlcf36dWrWrPnc5924cSPVq1fnrbfeKrSMubk5ZmZmHDlyhHv37mkMej/28OFDPD09WbNmDbq6uuTk5JCVlQXkrYj575X+RNlTqVSYmpqW+xVbxMtDMie0TTIntEnyVj7s37+fYcOG0bx5c+zt7QkJCeHWrVtERkYWWufkyZN07twZNzc3bGxs6NWrF66urhp3Qi1evJhRo0YxfPhwmjVrxurVqzEyMmLDhg3auKwCvSiZk8lwXnJ6enqEhIQwatQoVq9eTZs2bejWrRsffPABLVu2VJf79wThNjY2fPHFF4wdO5ZVq1ap92dlZbF69WoaNGgA5C17+fnnnz+xD/r6+nz44Yds2LCBLl26sGHDBj788EP09fXzlZs1a5Z6u169epw6dYrt27czaNAg9X5jY2PWr19PhQoVijzvsGHDcHV1BWDOnDksW7aMs2fP0rt3b1atWoW1tTUrVqxApVLRpEkT7ty5w/Tp05k5c2aBE8EFBgZq9O+x/9n+hmElkye+D0KUnGWamxfi2bvEjyav96JKTWtS7sdxaPV8MhUd7rXoxdwL8aTG3yU14R63L0cBMH3HTxgYV8LMsjZGplUAWD/mHZr16EunD/65Iyo3N5f/rQnGvvdAFv6SlK8nEbvDqF6vMcZVqnHr5wj+38LP6Dx4LDszqsGFeI2yB1YEYN62Bwew5sCFeO5b2bFv6SxyO7hwcus6LO3aMfc/dURZs4CfE8u6E+KVIpkT2iaZE9okeStL3q3N8+1LTk4GoGrVqoXW69SpE5s3b+bs2bO0b9+eGzdusHfvXtzd3YG8KWUiIyPx8fFR19HR0cHR0ZFTp06V8FUUn66uLk2bNi2z8xeXDEq9At59913eeustfvrpJ06fPs2+ffuYP38+69evV09afOjQIQIDA7ly5QopKSlkZ2fz8OFDMjIy1HM1GRkZqQekAGrWrFns2xFHjBhBp06dmDNnDl9//TWnTp0q8FG5lStXsmHDBm7dusWDBw/IzMykVatWGmXs7OyeOCAFaAy6GRsbU7lyZXV/o6Oj6dixo8aocefOnUlLS+PPP/8scMUyHx8fpkyZot5OSUnB2toalPI9cZx4iSi5VM5IIMWoGqg0B06T795hq88YMpITMa5SDZtWDowL3UelKnk/fM98E8rhtQvU5dd65N3J9J7/Ml7rlzd4m/DnTTKS/tZoN+bMMZLi/uS1/oML7FL87zEcWPEFD5KTMLOypsfIyXQZPDZfubiYaH45uJsJW4+q97Vw7MeNyJOs8XDGom5D3g9Y/Qxviig1ReRNiFIhmRPaJpkT2iR5K3dyc3OZNGkSnTt3pkWLFoWWc3NzIz4+ni5duqAoCtnZ2YwdO1b9+F58fDw5OTnUqFFDo16NGjW4cuVKqV5DUXJzc7lz5w5WVlblevU9GZR6RRgaGvLmm2/y5ptv4uvri4eHB35+fgwbNoybN2/y9ttvM27cOAICAqhatSrHjx9n5MiRZGZmqgel/ntnk0qlQlGK9+ianZ0dTZo0wdXVlaZNm9KiRQuioqI0ymzdupWpU6eyaNEiOnbsiImJCQsWLODMmTMa5YyNjYt1zoL6+zwrDxgYGGBgYJBvv6qY74EQz0ulKFROv09qxaoo/7kL13XuuiLrOo79BMexnxRZZvr35/Pta9yxB4Hn7xdap/eEmfSeMLPIdgEsGzZl6m7NyR51dHRw8ZmPi8/8J9YX2ldU3oQoDZI5oW2SOaFNkrfyx9PTk0uXLqmnmSlMeHg4c+bMYdWqVTg4OBATE8PEiROZPXs2vr6+Wurt08vNzeXPP//E0tJSBqVE+dOsWTN27doFQGRkJLm5uSxatEgd1pJasevfRowYwfjx4wkKCirw+IkTJ+jUqRPjx49X77t+/XqJ9wOgadOm7NixA0VR1HdLnThxAhMTE2rXrl0q5xRCCCGEEEIIUfa8vLzYs2cPP/744xM///n6+uLu7q5e9MfOzo709HRGjx7NZ599hrm5Obq6uty9e1ej3t27d7G0tCy1a3hZlN/hMlEiEhIS6NmzJ5s3b+bnn38mNjaWr7/+mvnz59O/f38AGjZsSFZWFsuXL+fGjRts2rSJ1atL/jGaUaNGcf/+/QJX8AJo1KgRERERHDhwgN9++w1fX1/OnTtX4v0AGD9+PH/88QcfffQRV65cYffu3fj5+TFlypRyPYoshBBCCCGEEOLZKIqCl5cXO3fu5MiRI9SrV++JdTIyMvJ9RtTV1VW3V6FCBV577TUOHz6sPp6bm8vhw4fp2LFjyV7AS0julHrJVapUCQcHB5YsWcL169fJysrC2tqaUaNGqZ+Btbe3Z/HixcybNw8fHx9ef/11AgMDGTJkSIn2RU9PD3Pz/JPLPTZmzBguXLjA+++/j0qlwtXVlfHjx7Nv374S7QdArVq12Lt3L9OmTcPe3p6qVasycuRIZsyY8dRtKeV8NQPx8lBUKtIrmknmhFZI3oS2SeaEtknmhDZJ3soHT09PwsLC2L17NyYmJsTFxQFgampKxYoVARgyZAi1atUiMDAQAGdnZxYvXkzr1q3Vj+/5+vri7OysHpyaMmUKQ4cOpW3btrRv356lS5eSnp7O8OHDy+ZCyZsqw8LCotzfdKFSijspkBBCQ0pKCqampiQnJ1O5cuWy7o4Q+Pv751sh0tbWVj3B4tq1awkLC+P8+fOkpqaSmJiImZlZkW3m5OTg7+/P5s2biYuLw8rKimHDhjFjxgz1o6+KouDn58e6detISkqic+fOBAUF0ahRIwAePXqEh4cHu3fvxtLSklWrVuHo6Kg+x4IFC7h16xbLly8vwXdDCCGEEEIITapCBgU3btyoXgSse/fu2NjYEBISAkB2djYBAQFs2rSJ27dvY2FhgbOzMwEBARq/S69YsYIFCxYQFxdHq1atWLZsGQ4ODqV8ReVXcT8vy6CUEM/o8RdZcT7YC1EScnNziY2NpV69egX+xcPf359vvvmGQ4cOqff9+w7FpUuX8vDhQyBvNcniZHfOnDksXryY0NBQmjdvTkREBMOHDycgIIAJEyYAMG/ePAIDAwkNDaVevXr4+vryyy+/cPnyZQwNDVm+fDlBQUF8/fXX6tU/7969i0qlIjY2FicnJyIiImRwt5x5Ut6EKGmSOaFtkjmhTZI3oW1lnbniDkrJV4MQz+l5VvQT4mnk5uZy//79IjOnp6eHpaWl+vXvR2YnTZqEt7c3HTp0KPY5T548Sf/+/XnrrbewsbHhvffeo1evXpw9m7eSnqIoLF26lBkzZtC/f39atmzJl19+yZ07d9SLKURHR9OvXz+aN2+Op6cn9+/fJz4+HoBx48Yxb948GZAqh4qTNyFKkmROaJtkTmiT5E1o24uSOZlTSpSZkJAQJk2aRFJSUqmfKzw8nB49epTOXU3fWoJRVsm2KUSBKoDBNLjRDcj8Z7fbPze8Xrt2DSsrKwwNDenYsSOBgYHUqVPnmc/YqVMn1q5dy2+//Ubjxo25ePEix48fZ/HixQDExsYSFxen8TieqakpDg4OnDp1ig8++AB7e3s2bdrEgwcPOHDgADVr1sTc3JwtW7ZgaGjIgAEDnrl/QgghhBBCiBeX3CklnsmwYcNQqVTqV7Vq1ejduzc///xzWXetQJ06deKvv/7C1NS0rLsiRKlxcHAgJCSE/fv3ExQURGxsLF27diU1NfWZ2/T29uaDDz6gSZMm6Ovr07p1ayZNmsTgwYMB1JND1qhRQ6NejRo11MdGjBiBvb09zZo1IyAggO3bt5OYmMjMmTNZvnw5M2bMoGHDhjg5OXH79u1n7qsQQgghhBDixSKDUuKZ9e7dm7/++ou//vqLw4cPo6enx9tvv13W3conKyuLChUqYGlpWejEds9Dh5wSb1OIguiQQ+3snwrNXJ8+fRg4cCAtW7bEycmJvXv3kpSUxPbt25/5nNu3b2fLli3qCdJDQ0NZuHAhoaGhxW5DX1+flStXEhsby7lz5+jSpQsff/wxEyZM4MKFC+zatYuLFy/SoUMH9TxVouzp6OhQu3ZtmfdCaI1kTmibZE5ok+StfAgMDKRdu3aYmJhQvXp1XFxcuHr16hPrLV26FFtbWypWrIi1tTWTJ09Wz9UK8OOPP+Ls7IyVlRUqlUo9jUVZelEyV757J8o1AwMD9bw1rVq1wtvbmz/++IP79+8THh6OSqXSeDQvKioKlUrFzZs3C23ziy++oHr16piYmODh4YG3tzetWrVSHz937hxvvvkm5ubmmJqa0q1bN86fP6/RhkqlIigoiH79+mFsbExAQEC+/iQkJODq6kqtWrUwMjLCzs6Or7766pneBx3K9zO64uWhQw61c34s9kComZkZjRs3JiYm5pnPOW3aNPXdUnZ2dri7uzN58mT1ErmWlpYA3L17V6Pe3bt31cf+6+jRo/z66694eXkRHh5O3759MTY2ZtCgQYSHhz9zX0XJelF+kREvD8mc0DbJnNAmyVv5cOzYMTw9PTl9+jQHDx4kKyuLXr16kZ6eXmidsLAwvL298fPzIzo6muDgYLZt28ann36qLpOeno69vT0rV67UxmUUy4uSufLdO/HCSEtLY/PmzTRs2JBq1ao9UxtbtmwhICCAefPmERkZSZ06dQgKCtIok5qaytChQzl+/DinT5+mUaNG9O3bN9/jSf7+/gwYMIBffvmFESNG5DvXw4cPee211/j++++5dOkSo0ePxt3dXT15c0EePXpESkqKxgsgR6ZmE1qSgz7R+q7koF+s8mlpaVy/fp2aNWs+8zkzMjLy/SDT1dVVT5hYr149LC0tOXz4sPp4SkoKZ86coWPHjvnae/jwIZ6enqxZswZdXV1ycnLIysqbky0rK4ucHLnzsLzIyckhOjpa/k+E1kjmhLZJ5oQ2Sd7Kh/379zNs2DCaN2+Ovb09ISEh3Lp1i8jIyELrnDx5ks6dO+Pm5oaNjQ29evXC1dVV47Njnz59+OKLL8rVXKkvSubk07R4Znv27KFSpUpA3shwzZo12bNnzzOPxC5fvpyRI0cyfPhwAGbOnMkPP/xAWlqaukzPnj016qxduxYzMzOOHTum8eigm5ubuh2AGzduaNSrVasWU6dOVW9/9NFHHDhwgO3bt9O+ffsC+xcYGMisWbPy7V/WKBqDymbFv1AhnpEqN4da8Vf5znwJio7uPwcu5K1kt3eJH01e70WVmtak3I/j0Or5ZCo63GvRi7kX4kmNv0tqwj1uX44CYPqOnzAwroSZZW2MTKsAsH7MOzTr0ZdOH3gAYNP5Tbz9Z3Mmy5QaDZpw58ov7Jy/iNf6uzH3/87batAoZsyazUXdGlS1qsPBoLkYmVtyzaaLusxjB1YEYN62Bwew5sCFeO5b2bFv6SxyO7hwcus6LO3a5asjykZe3u7zXUZVzbwJUUokc0LbJHNCmyRvZc+7tXm+fcnJyQBUrVq10HqdOnVi8+bNnD17lvbt23Pjxg327t2Lu7t7qfW1JCiKQnJyMoqiPLlwGZJBKfHMevToob6TKTExkVWrVtGnT58i7zYqytWrVxk/frzGvvbt23PkyBH19t27d5kxYwbh4eHcu3ePnJwcMjIyuHXrlka9tm3bFnmunJwc5syZw/bt27l9+zaZmZk8evQIIyOjQuv4+PgwZcoU9XZKSgrW1tZPc4lClKrku3fY6jOGjOREjKtUw6aVA+NC91GpSt4P4DPfhHJ47QJ1+bUe/QB4z38Zr/VzBSDhz5tkJP2tLtPvk7n8sCqQ3YHTSUuMp7KFJe3fHULP0f8M6r4+9CMyH2Sw84spPExNoW4rB4av2Ia+gaFG/+Jiovnl4G4mbD2q3tfCsR83Ik+yxsMZi7oNeT9gdcm/MUIIIYQQQvxHbm4ukyZNonPnzrRo0aLQcm5ubsTHx9OlSxcURSE7O5uxY8dqPL4nnp0MSolnZmxsTMOGDdXb69evx9TUlHXr1tGrVy8AjVHZx4/oPI+hQ4eSkJDA//73P+rWrYuBgQEdO3YkMzMzX9+KsmDBAv73v/+xdOlS7OzsMDY2ZtKkSfna+TcDAwMMDAye+xqEKC2uc9cVedxx7Cc4jv2kyDLTv9eco83AuBLO0wJwnhZQaB2VSsWb47x5c5x3kW1bNmzK1N2ag9Y6Ojq4+MzHxWd+kXWFEEIIIYQoSZ6enly6dInjx48XWS48PJw5c+awatUqHBwciImJYeLEicyePRtfX18t9fblJYNSosSoVCp0dHR48OABFhYWAPz1119UqZL3WFBUVFSR9W1tbTl37hxDhgxR7zt37pxGmRMnTrBq1Sr69u0LwB9//EF8/NM/6nPixAn69+/Phx9+COSNkv/22280a9bsqdtSVDI1m9AORaVDoklNyZzQCsmb0DbJnNA2yZzQJslb+eLl5cWePXv48ccfqV27dpFlfX19cXd3x8Mjb3oLOzs70tPTGT16NJ999lm5nUhcR0eH+vXrl9v+PVa+eyfKtUePHhEXF0dcXBzR0dF89NFHpKWl4ezsTMOGDbG2tsbf359r167x/fffs2jRoiLb++ijjwgODiY0NJRr167xxRdf8PPPP6NSqdRlGjVqxKZNm4iOjubMmTMMHjyYihUrPnXfGzVqxMGDBzl58iTR0dGMGTMm3+phxfav/glRqlQq0itWkcwJ7ZC8CW2TzAltk8wJbZK8lQuKouDl5cXOnTs5cuQI9erVe2Kdwhb+edxeeaWjo0P16tVlUEq8vPbv30/NmjWpWbMmDg4OnDt3jq+//pru3bujr6/PV199xZUrV2jZsiXz5s3jiy++KLK9wYMH4+Pjw9SpU2nTpg2xsbEMGzYMQ8N/5qUJDg4mMTGRNm3a4O7uzoQJE6hevfpT933GjBm0adMGJycnunfvjqWlJS4uLk/dDoBKyX2mekI8LZWSi+Xf1yVzQiskb0LbJHNC2yRzQpskb+WDp6cnmzdvJiwsDBMTE/VNFg8ePFCXGTJkCD4+PuptZ2dngoKC2Lp1K7GxsRw8eBBfX1+cnZ3Vg1NpaWlERUWpnw6KjY0lKioq39zH2pSTk8PFixfL/ep7KEKUY46OjsqHH35Y1t0oUHJysgIoCQkJZd0V8YrIyspSTp06pWRlZRV43M/PTwE0Xra2turja9asUbp166aYmJgogJKYmPjEc2ZnZyszZsxQbGxsFENDQ6V+/frK559/ruTm5iqKoiiZmZnKJ598orRo0UIxMjJSatasqbi7uyu3b99Wt/Hw4UPlww8/VExMTJRGjRopBw8e1DjH/PnzFS8vr2d4R0RpelLehChpkjmhbZI5oU2St/Lhv78rP35t3LhRXaZbt27K0KFD1dtZWVmKv7+/0qBBA8XQ0FCxtrZWxo8fr/G79NGjRwts99/taFtZZ+7x5+Xk5OQiy8mcUqLcyMjIYPXq1Tg5OaGrq8tXX33FoUOHOHjwYFl3TYgXRvPmzTl06JB6W0/vn2/zGRkZ9O7dm969e2v89aco8+bNIygoiNDQUJo3b05ERATDhw/H1NSUCRMmkJGRwfnz5/H19cXe3p7ExEQmTpxIv379iIiIAGDt2rVERkZy6tQp9u3bh5ubG3fv3kWlUhEbG8u6devUZYUQQgghhCgtSjEetwsPD9fY1tPTw8/PDz8/v0LrdO/evVw/yleeyaCUKDdUKhV79+4lICCAhw8fYmtry44dO3B0dCzrrgnxwtDT08PS0rLAY5MmTQLy/6AtysmTJ+nfvz9vvfUWADY2Nnz11VecPZu3ip6pqWm+geMVK1bQvn17bt26RZ06dYiOjqZfv340b96c+vXrM23aNOLj47GwsGDcuHHMmzePypUrP/3FCiGEEEIIIV5oMiglyo2KFStq3OFRkkJCQpg0aRJJSUkl3rbut+ZgJKPiovTpokMTHRt0b9wE/jMfgVteBq9du4aVlRWGhoZ07NiRwMBA6tSp88zn7NSpE2vXruW3336jcePGXLx4kePHj7N48eJC6yQnJ6NSqTAzMwPA3t6eTZs28eDBAw4cOEDNmjUxNzdny5YtGBoaMmDAgGfunyg9urq6NGnSRD1XghClTTIntE0yJ7RJ8ia07UXJnEx0Lopt2LBhqFQqVCoV+vr61KtXj08++YSHDx+Wddee6P333+e3334rlbZVyICU0A4VuZjl3kD13wGp/+Pg4EBISAj79+8nKCiI2NhYunbtSmpq6jOf09vbmw8++IAmTZqgr69P69atmTRpEoMHDy6w/MOHD5k+fTqurq7qu59GjBiBvb09zZo1IyAggO3bt5OYmMjMmTNZvnw5M2bMoGHDhjg5OXH79u1n7qsoWY8HFlWySpDQEsmc0DbJnNAmyZvQthclczIoJZ5K7969+euvv7hx4wZLlixhzZo1RT5bW15UrFjxmVbpK45s9EulXSH+K5sKnDOYRjYVCjzep08fBg4cSMuWLXFycmLv3r0kJSWxffv2Zz7n9u3b2bJlC2FhYZw/f57Q0FAWLlxIaGhovrJZWVkMGjQIRVEICgpS79fX12flypXExsZy7tw5unTpwscff8yECRO4cOECu3bt4uLFi3To0IEJEyY8c19FycrOzubcuXNkZ2eXdVfEK0IyJ7RNMie0SfJWvgQGBtKuXTtMTEyoXr06Li4uXL169Yn1li5diq2tLRUrVsTa2prJkydr3KTx448/4uzsjJWVFSqVil27dpXiVRTtRcmcDEqJp2JgYIClpSXW1ta4uLjg6Oionk/m0aNHTJgwgerVq2NoaEiXLl04d+6cum54eDgqlYoDBw7QunVrKlasSM+ePbl37x779u2jadOmVK5cGTc3NzIyMtT19u/fT5cuXTAzM6NatWq8/fbbXL9+XX385s2bqFQqvv32W3r06IGRkRH29vacOnVKXSYkJET9KBHA9evX6d+/PzVq1KBSpUq0a9eu1B4dFKIk5RQyIFUQMzMzGjduTExMzDOfb9q0aeq7pezs7HB3d2fy5MkEBgZqlHs8IPX7779z8ODBIueIOnr0KL/++iteXl6Eh4fTt29fjI2NGTRo0FPNdyVKX7lfQli8dCRzQtskc0KbJG/lx7Fjx/D09OT06dMcPHiQrKwsevXqRXp6eqF1wsLC8Pb2xs/Pj+joaIKDg9m2bRuffvqpukx6ejr29vasXLlSG5fxRC9C5mRQSjyzS5cucfLkSSpUyPuQ/Mknn7Bjxw5CQ0M5f/68+nGcv//+W6Oev78/K1as4OTJk/zxxx8MGjSIpUuXEhYWxvfff88PP/zA8uXL1eXT09OZMmUKERERHD58GB0dHQYMGEBuruYjTJ999hlTp04lKiqKxo0b4+rqWuiocFpaGn379uXw4cNcuHCB3r174+zszK1btwq93kePHpGSkqLxEqI8S0tL4/r169SsWfOZ28jIyEBHR/NHha6ursbX3+MBqWvXrnHo0CGqVatWaHsPHz7E09OTNWvWoKurS05ODllZWep2XoQfnEIIIYQQ4sW2f/9+hg0bRvPmzbG3tyckJIRbt24RGRlZaJ2TJ0/SuXNn3NzcsLGxoVevXri6uqoXAIK8Jxe++OILmTP1KchE5+Kp7Nmzh0qVKpGdnc2jR4/Q0dFhxYoVpKenExQUREhICH369AFg3bp1HDx4kODgYKZNm6Zu44svvqBz584AjBw5Eh8fH65fv079+vUBeO+99zh69CjTp08H4N1339Xow4YNG7CwsODy5cu0aNFCvX/q1KnqFcJmzZpF8+bNiYmJoUmTJvmuw97eHnt7e/X27Nmz2blzJ9999x1eXl4FXntgYCCzZs3Kt395o8sYVDZ74nsnxPNS5eZQK/4qx2w+QtH5z4SFF+LZu8SPJq/3okpNa1Lux3Fo9XwyFR3utejF3AvxpMbfJTXhHrcvRwEwfcdPGBhXwsyyNkamVQBYP+YdmvXoS6cPPACw6fwm3v6zOZNlSo0GTbhz5Rd2zl/Ea/3dmHshnpysLLZ8MoI7V35m6P+2sDTqHnAPgIqmVdDT17yz68CKAMzb9uAA1hy4EM99Kzv2LZ1FbgcXTm5dh6VdO+ZeiC/V91EUjyo3h1rJmRy7mJA/b0KUAsmc0DbJnNAmyVv54d3aPN++5ORkAKpWrVpovU6dOrF582bOnj1L+/btuXHjBnv37sXd3b3U+voqkEEp8VR69OhBUFAQ6enpLFmyBD09Pd59911+/vlnsrKy1INNkDePTPv27YmOjtZoo2XLlup/16hRAyMjI/WA1ON9/x5tvnbtGjNnzuTMmTPEx8er79C4deuWxqDUv9t9fGfIvXv3ChyUSktLw9/fn++//56//vqL7OxsHjx4UOSdUj4+PkyZMkW9nZKSgrW1NYpKbjgU2qGodIir2qDQzCXfvcNWnzFkJCdiXKUaNq0cGBe6j0pV8n7wnvkmlMNrF6jLr/XoB8B7/st4rZ8rAAl/3iQj6Z+7G/t9MpcfVgWyO3A6aYnxVLawpP27Q+g5eioAKff/IvrYfgCWfdBDoz+j1u6iftt/vifExUTzy8HdTNh6VL2vhWM/bkSeZI2HMxZ1G/J+wOpnfn9EyXpS3oQoaZI5oW2SOaFNkrfyKzc3l0mTJtG5c2eNz5f/5ebmRnx8PF26dEFRFLKzsxk7dqzG43vlia6uLi1btiz3q+/JoJR4KsbGxjRs2BDIu2PJ3t6e4OBg2rVrV+w29PX/mRj88Up+/6ZSqTQeDXJ2dqZu3bqsW7cOKysrcnNzadGiBZmZmUW2C+R7xO+xqVOncvDgQRYuXEjDhg2pWLEi7733Xr42/83AwAADA4NiX6cQpSFHp/Bv265z1xVZ13HsJziO/aTIMtO/P6+xbWBcCedpAThPCyiwfBWrOgSev19km49ZNmzK1N1nNfbp6Ojg4jMfF5/5xWpDaFdReROiNEjmhLZJ5oQ2Sd7KJ09PTy5dusTx48eLLBceHs6cOXNYtWoVDg4OxMTEMHHiRGbPno2vr6+Wevt0Hk+1U57JMK14Zjo6Onz66afMmDGDBg0aUKFCBU6cOKE+npWVxblz52jWrNkznyMhIYGrV68yY8YM3njjDZo2bUpiYuJz9/3EiRMMGzaMAQMGYGdnh6WlJTdv3nymtlRKwQNfQpQ0lZJLrfirkjmhFZI3oW2SOaFtkjmhTZK38snLy4s9e/Zw9OhRateuXWRZX19f3N3d8fDwwM7OjgEDBjBnzhwCAwMLvRmiLOXk5BAREVHu52yVQSnxXAYOHIiuri5BQUGMGzeOadOmsX//fi5fvsyoUaPIyMhg5MiRz9x+lSpVqFatGmvXriUmJoYjR45oPEL3rBo1asS3335LVFQUFy9exM3NrVx+IxFCCCGEEEIIUbIURcHLy4udO3dy5MgR6tWr98Q6hS0A9Lg98Wzk/kHxXPT09PDy8mL+/PnExsaSm5uLu7s7qamptG3blgMHDlClSpVnbl9HR4etW7cyYcIEWrRoga2tLcuWLaN79+7P1e/FixczYsQIOnXqhLm5OdOnT5fV9IQQQgghhBDiFeDp6UlYWBi7d+/GxMSEuLg4AExNTalYsSIAQ4YMoVatWgQGBgJ508osXryY1q1bqx/f8/X1xdnZWT04lZaWRkxMjPo8sbGxREVFUbVqVerUqaPlq3xBKEKIZ5KcnKwASkJCQll3RbwisrKylFOnTilZWVkFHvfz81MAjZetra36+Jo1a5Ru3bopJiYmCqAkJiY+8ZzZ2dnKjBkzFBsbG8XQ0FCpX7++8vnnnyu5ubka57W1tVWMjIwUMzMz5Y033lBOnz6tPv7w4UPlww8/VExMTJRGjRopBw8e1DjH/PnzFS8vr6d8N0Rpe1LehChpkjmhbZI5oU2St/Llv78zP35t3LhRXaZbt27K0KFD1dtZWVmKv7+/0qBBA8XQ0FCxtrZWxo8fr/E79dGjRwts99/taEtZZ+7x5+Xk5OQiy6kURe4zE+JZpKSkYGpqSlJSEqampmXdHfEKUBSFnJwcdHV11ZP5/5u/vz/ffPMNhw4dUu/T09PD3Dxv9b2lS5fy8OFDIG81ycTERMzMzIo855w5c1i8eDGhoaE0b96ciIgIhg8fTkBAABMmTAAgLCyM6tWrU79+fR48eMCSJUv4+uuviYmJwcLCguXLlxMUFMTXX3/Nvn37mD9/Pnfv3kWlUhEbG4uTkxMRERFUrly5hN4pURKelDchSppkTmibZE5ok+RNaFtZZ+7x5+Xk5OQif8+Xx/eEEOIFkpmZqb6luCB6enpYWloWeGzSpElA3sohxXXy5En69+/PW2+9BYCNjQ1fffUVZ8/+s4qem5ubRp3FixcTHBzMzz//zBtvvEF0dDT9+vWjefPm1K9fn2nTphEfH4+FhQXjxo1j3rx5MiBVTj0pb0KUNMmc0DbJnNAmyZvQthchczIoJbRm2LBhJCUlsWvXrhJt9+bNm9SrV48LFy7QqlWrEm27OHK+tgCjLK2fV7x6cqjAzwbTaPtoAXpkah50y7vp9dq1a1hZWWFoaEjHjh0JDAx8rufXO3XqxNq1a/ntt99o3LgxFy9e5Pjx4yxevLjA8pmZmaxduxZTU1Ps7e0BsLe3Z9OmTTx48IADBw5Qs2ZNzM3N2bJlC4aGhgwYMOCZ+ydKT05ODj///DNt27ZFT09+XRClTzIntE0yJ7RJ8ia07UXJnKy+J0pE9+7d1Xdh/FtISMgTHw96XtbW1vz111+0aNGiVM8jRHnn4OBASEgI+/fvJygoiNjYWLp27Upqauozt+nt7c0HH3xAkyZN0NfXp3Xr1kyaNInBgwdrlNuzZw+VKlXC0NCQJUuWcPDgQfVjgyNGjMDe3p5mzZoREBDA9u3bSUxMZObMmSxfvpwZM2bQsGFDnJycuH379nO9B0IIIYQQQogXhwxKiXIrMzPzyYXIW4bT0tKyXI/+CqENffr0YeDAgbRs2RInJyf27t1LUlIS27dvf+Y2t2/fzpYtWwgLC+P8+fOEhoaycOFCQkNDNcr16NGDqKgoTp48Se/evRk0aBD37t0DQF9fn5UrVxIbG8u5c+fo0qULH3/8MRMmTODChQvs2rWLixcv0qFDB/U8VUIIIYQQQpSmwMBA2rVrh4mJCdWrV8fFxYWrV68+sd7SpUuxtbWlYsWKWFtbM3nyZPW8rQA//vgjzs7OWFlZoVKpSvxJoZeNDEqJMnPu3DksLCyYN28ekDdJc6tWrVi/fj316tXD0NAQgP3799OlSxfMzMyoVq0ab7/9NtevX1e3c/PmTVQqFVFRUUDefDkqlYrDhw/Ttm1bjIyM6NSpU75vMLt376ZNmzYYGhpSv359Zs2aRXZ2tnYuXohnpPvfx/aKYGZmRuPGjTWWpX1a06ZNU98tZWdnh7u7O5MnT1YvjfuYsbExDRs2pEOHDgQHB6Onp0dwcHCBbR49epRff/0VLy8vwsPD6du3L8bGxgwaNOip5rsSpe/x8sZCaItkTmibZE5ok+StfDl27Bienp6cPn2agwcPkpWVRa9evUhPTy+0TlhYGN7e3vj5+REdHU1wcDDbtm3j008/VZdJT0/H3t6elStXauMyivQiZE5uLRFl4siRI7zzzjvMnz+f0aNHq/fHxMSwY8cOvv32W/UXUHp6OlOmTKFly5akpaUxc+ZMBgwYQFRUFDo6hY+rfvbZZyxatAgLCwvGjh3LiBEjOHHiBAA//fQTQ4YMYdmyZXTt2pXr16+r++Hn51dge48ePeLRo0fq7ZSUFAD0kPmkhHbokUm7RwuKXT4tLY3r16/j7u7+zOfMyMjI93Wmq6tLbm5ukfVyc3M1vl4ee/jwIZ6enmzZsgVdXV1ycnJ4vAhsVlYWOTk5z9xXUbL09PRo165dWXdDvEIkc0LbJHNCmyRv5c/+/fs1tkNCQqhevTqRkZG8/vrrBdY5efIknTt3Vi/0Y2Njg6urK2fOnFGX6dOnD3369Cm9jhfTi5I5GZQSWrdz506GDBnC+vXref/99zWOZWZm8uWXX2JhYaHe9+6772qU2bBhAxYWFly+fLnIeaQCAgLo1q0bkDcvzltvvcXDhw8xNDRk1qxZeHt7M3ToUADq16/P7Nmz+eSTTwodlAoMDGTWrFn59i9ufB1DE1k5TGiBomCYlc5DfWP477KuF+LZu8SPJq/3okpNa1Lux3Fo9XwyFR3utejF3AvxpMbfJTXhHrcvRwEwfcdPGBhXwsyyNkamVQBYP+YdmvXoS6cPPACw6fwm3v6zOZNlSo0GTbhz5Rd2zl/Ea/3dmHshnswH6Rxdv4Sm3XpjYl6DjKS/ObU9mFt/3ia5hSNzL8RrdPPAigDM2/bgANYcuBDPfSs79i2dRW4HF05uXYelXbt8dUQZKSpvQpQGyZzQNsmc0CbJW7ni3do8377k5GQAqlatWmi9Tp06sXnzZs6ePUv79u25ceMGe/fufa4/ApcWRVFITk7G1NQUVTnOnAxKCa06c+YMe/bs4ZtvvsHFxSXf8bp162oMSEHeamIzZ87kzJkzxMfHq+/QuHXrVpGDUi1btlT/u2bNmgDcu3ePOnXqcPHiRU6cOEFAQIC6TE5ODg8fPiQjIwMjI6N87fn4+DBlyhT1dkpKCtbW1qiUou8YEaKkqJRczJNucdvcFkWV/1bc5Lt32OozhozkRIyrVMOmlQPjQvdRqUreD90z34RyeO0/d1qt9egHwHv+y3itnysACX/eJCPpb3WZfp/M5YdVgewOnE5aYjyVLSxp/+4Qeo6emtcnHV3u34zh/J7hpCf9jZFpFWo3b83o4P9HjQZNNPoXFxPNLwd3M2HrUfW+Fo79uBF5kjUezljUbcj7AatL6N0Sz+tJeROipEnmhLZJ5oQ2Sd7Kt9zcXCZNmkTnzp2L/Izp5uZGfHw8Xbp0QVEUsrOzGTt2rMbje+VFTk4OV65cKfer75XfnokXSuXKldUjy/+WlJSEqampertBgwZUq1aNDRs28NZbb6Gvr69R3tjYOF8bzs7O1K1bl3Xr1mFlZUVubi4tWrR44kTo/2778cjw4wGttLQ0Zs2axTvvvJOv3uO5rP7LwMAAAwODIs8pRFlynbuuyOOOYz/BcewnRZaZ/v15jW0D40o4TwvAeVpAgeX1DQz5cFFIsfpn2bApU3ef1dino6ODi898XHzmF6sNIYQQQgghSpqnpyeXLl3i+PHjRZYLDw9nzpw5rFq1CgcHB2JiYpg4cSKzZ8/G19dXS719uciglCgRtra2/PDDD/n2nz9/nsaNG6u3zc3N+fbbb+nevTuDBg1i+/bt+Qam/i0hIYGrV6+ybt06unbtCvDEbxTF0aZNG65evUrDhg2fuy0hhBBCCCGEEC8mLy8v9uzZw48//kjt2rWLLOvr64u7uzseHnlTXdjZ2ZGens7o0aP57LPPipzzWBRMBqVEiRg3bhwrVqxgwoQJeHh4YGBgwPfff89XX33F//t//0+jbPXq1Tly5Ag9evTA1dWVrVu3Fno7YZUqVahWrRpr166lZs2a3Lp1C29v7+fu78yZM3n77bepU6cO7733Hjo6Oly8eJFLly7xxRdfPF1j5fj5XPGSUanI1jOQzAntkLwJbZPMCW2TzAltkryVO4qi8NFHH7Fz507Cw8OpV6/eE+sUtgjQ4/bKE5VKRcWKFcv1fFIAMownSkT9+vX58ccfuXLlCo6Ojjg4OLB9+3a+/vprevfuna+8paUlR44c4ZdffmHw4MGFrrilo6PD1q1biYyMpEWLFkyePJkFC4q/+lhhnJyc2LNnDz/88APt2rWjQ4cOLFmyhLp16z51W4pKvoyEdigqHeKqNpDMCa2QvAltk8wJbZPMCW2SvJU/np6ebN68mbCwMExMTIiLiyMuLo4HDx6oywwZMgQfHx/1trOzM0FBQWzdupXY2FgOHjyIr68vzs7O6sGptLQ0oqKiiIqKAiA2NpaoqChu3bql1evT1dXF3t5e3a/ySqWUt+E8IV4QKSkpmJqakpiYiJmZWVl3R7wCcnNziY+Px9zcvMBbg/39/fOtEGlra8uVK1cAWLt2LWFhYZw/f57U1NRiZTc1NRVfX1927tzJvXv3aN26Nf/73/8KXV527NixrFmzhiVLljBp0iQAHj16hIeHB7t378bS0pJVq1bh6OiorrNgwQJu3brF8uXLn+LdEKXtSXkToqRJ5oS2SeaENkneyp/C7iDauHEjw4YNA6B79+7Y2NgQEhICQHZ2NgEBAWzatInbt29jYWGBs7MzAQEB6t+rw8PD6dGjR752hw4dqm5HG8o6c48/LycnJ1O5cuGr1cvje0I8p8eTpwtR2nJzc7lx4wZVq1Yt9AdL8+bNOXTokHr734/GZmRk0Lt3b3r37q3xF5+ieHh4cOnSJTZt2oSVlRWbN2/G0dGRy5cvU6tWLY2yO3fu5PTp01hZWWnsX7t2LZGRkZw6dYp9+/bh5ubG3bt3UalUxMbGsm7dOiIiIor7NggtKU7ehChJkjmhbZI5oU2St/KnOPfnhIeHa2zr6enh5+eHn59foXW6d+9eLh7le1EyV357JoQQ4qnp6elhaWmpfpmbm6uPTZo0CW9vbzp06FCsth48eMCOHTuYP38+r7/+Og0bNsTf35+GDRsSFBSkUfb27dt89NFHbNmyJd/iBdHR0fTr14/mzZvj6enJ/fv3iY+PB/Lmo5s3b16Rfz0RQgghhBBCvJzkTikhnte3lmCUVda9EK+ECmAwDW50AzI1D7nl/TXm2rVrWFlZYWhoSMeOHQkMDKROnTrPdLbs7GxycnIwNDTU2F+xYkWNVTBzc3Nxd3dn2rRpNG/ePF879vb2bNq0iQcPHnDgwAFq1qyJubk5W7ZswdDQkAEDBjxT/4QQQgghhBAvNrlTSpSaYcOG4eLiorHvm2++wdDQkEWLFpVNp0qBirK/NVO8GlQomObeKDRzDg4OhISEsH//foKCgoiNjaVr166kpqY+0/lMTEzo2LEjs2fP5s6dO+Tk5LB582ZOnTrFX3/9pS43b9489PT0mDBhQoHtjBgxAnt7e5o1a0ZAQADbt28nMTGRmTNnsnz5cmbMmEHDhg1xcnLi9u3bz9RXUfJUKhWmpqblfsUW8fKQzAltk8wJbZK8CW17UTIng1JCa9avX8/gwYMJCgri448/LuvulBhdssu6C+IVoUsWTbO+QpeC78zr06cPAwcOpGXLljg5ObF3716SkpLYvn37M59z06ZNKIpCrVq1MDAwYNmyZbi6uqqfS4+MjOR///sfISEhhf7A09fXZ+XKlcTGxnLu3Dm6dOnCxx9/zIQJE7hw4QK7du3i4sWLdOjQodCBLaF9urq6NG3atNyv2CJeHpI5oW2SOaFNkrfyJzAwkHbt2mFiYkL16tVxcXHh6tWrT6y3dOlSbG1tqVixItbW1kyePJmHDx+qj//44484OztjZWWFSqVi165dpXgVhXtRMieDUkIr5s+fz0cffcTWrVsZPnw4AEFBQTRo0IAKFSpga2vLpk2b1OUVRcHf3586depgYGCAlZWVxofVxMREhgwZQpUqVTAyMqJPnz5cu3YNyJvlv2LFiuzbt0+jDzt37sTExISMjAwAfvnlF3r27EnFihWpVq0ao0ePJi0t7amvLVe+jISW5KLLn7qvk0vxfrCYmZnRuHFjYmJinvmcDRo04NixY6SlpfHHH39w9uxZsrKyqF+/PgA//fQT9+7do06dOujp6aGnp8fvv//Oxx9/jI2NTYFtHj16lF9//RUvLy/Cw8Pp27cvxsbGDBo0KN9kkqLs5Obm8ueff8piDkJrJHNC2yRzQpskb+XPsWPH8PT05PTp0xw8eJCsrCx69epFenp6oXXCwsLw9vbGz8+P6OhogoOD2bZtG59++qm6THp6Ovb29qxcuVIbl1GoFyVzMqeUKHXTp09n1apV7NmzhzfeeAPIGyCaOHEiS5cuxdHRkT179jB8+HBq165Njx492LFjB0uWLGHr1q00b96cuLg4Ll68qG5z2LBhXLt2je+++47KlSszffp0+vbty+XLl6lcuTJvv/02YWFh9OnTR11ny5YtuLi4YGRkRHp6Ok5OTnTs2JFz585x7949PDw88PLyKnSZzkePHvHo0SP1dkpKCsD/DRCU7y908XLIRZc/9bpimXMaHXKeWD4tLY3r16/j7u7+3Oc2NjbG2NiYxMREDhw4wPz58wFwd3fH0dFRo6yTkxPu7u7qAeh/e/jwIZ6enmzZsgVdXV1ycnLUq5NkZWWRk/Pk6xLa8fgXGUtLy3K9Yot4eUjmhLZJ5oQ2Sd7Kn/3792tsh4SEUL16dSIjI3n99dcLrHPy5Ek6d+6Mm5sbADY2Nri6unLmzBl1mT59+mh8Di0rL0rmZFBKlKp9+/axe/duDh8+TM+ePdX7Fy5cyLBhwxg/fjwAU6ZM4fTp0yxcuJAePXpw69YtLC0tcXR0RF9fnzp16tC+fXsA9WDUiRMn6NSpE5A34GRtbc2uXbsYOHAggwcPxt3dnYyMDIyMjEhJSeH7779n586dQN4I98OHD/nyyy8xNjYGYMWKFTg7OzNv3jxq1KiR71oCAwOZNWtWvv3LG13GoLJZib5vQhRElZtDrfirHLP5CEXnP3dLXYhn7xI/mrzeiyo1rUm5H8eh1fPJVHS416IXcy/Ekxp/l9SEe9y+HAXA9B0/YWBcCTPL2hiZVgFg/Zh3aNajL50+8ADgt5NHUBQFC5uGJPwRy76l/lS2bsj9Vs7MvRD/fye31OhKhqLLpexK7MyoBuoyeQ6sCMC8bQ8OYM2BC/Hct7Jj39JZ5HZw4eTWdVjatftXu6IsqXJzqJWcybGLCfnzJkQpkMwJbZPMCW2SvJUv3q3N8+1LTk4GoGrVqoXW69SpE5s3b+bs2bO0b9+eGzdusHfv3hL5I/CrqvwOl4mXQsuWLbGxscHPz0/j0bjo6Gg6d+6sUbZz585ER0cDMHDgQB48eED9+vUZNWoUO3fuJDs7W11XT08PBwcHdd1q1apha2urrt+3b1/09fX57rvvANixYweVK1dW39ERHR2Nvb29ekDq8flzc3MLfY7Yx8eH5ORk9euPP/543rdHiBKVfPcOW33GsGhAR8Kme2BkWoVxofuoVCXvh+6Zb0JZ7tqTb2dPAWCtRz+Wu/Yk+tg/fyVK+PMmGUl/q7cfpqXw3TxvFr/Tia9nelK3lQMjVm5HV1//qfsXFxPNLwd34zj2E/W+Fo79sO36Jms8nIm7dpm3pwY86+ULIYQQQgjxTHJzc5k0aRKdO3emRYsWhZZzc3Pj888/p0uXLujr69OgQQO6d++u8fieeDpyp5QoVbVq1eKbb76hR48e9O7dm3379mFiYvLEetbW1ly9epVDhw5x8OBBxo8fz4IFCzh27FixzluhQgXee+89wsLC+OCDDwgLC+P9999HT+/ZI29gYICBgUG+/Uo5X81AvDwUlYr0imaFZs517roi6zuO/URjQKgg078/r7HdspcLLXu5PFU//9vGY5YNmzJ191mNfTo6Orj4zMfFZ/5TnUOUviflTYiSJpkT2iaZE9okeSvfPD09uXTpEsePHy+yXHh4OHPmzGHVqlU4ODgQExPDxIkTmT17Nr6+vlrqbfHo6OhgYWFRrh/dA7lTSmhB3bp1OXbsGHFxcfTu3ZvU1FSaNm3KiRMnNMqdOHGCZs2aqbcrVqyIs7Mzy5YtIzw8nFOnTvHLL7/QtGlTsrOzNZ7bTUhI4OrVqxr1Bw8ezP79+/n11185cuQIgwcPVh9r2rQpFy9e1JjE7sSJE+jo6GBra/t0F6iSLyOhJSodEk2sJHNCOyRvQtskc0LbJHNCmyRv5ZaXlxd79uzh6NGj1K5du8iyvr6+uLu74+HhgZ2dHQMGDGDOnDkEBgaWuwnFdXR0aNCggQxKCQF5dz6Fh4dz7949nJycGDNmDCEhIQQFBXHt2jUWL17Mt99+y9SpU4G8SeaCg4O5dOkSN27cYPPmzVSsWJG6devSqFEj+vfvz6hRozh+/DgXL17kww8/pFatWvTv3199ztdffx1LS0sGDx5MvXr1NB73Gzx4MIaGhgwdOpRLly5x9OhRPvroI9zd3QucT6pISvn65iNeYkouVVLvSOaEdkjehLZJ5oS2SeaENkneyh1FUfDy8mLnzp0cOXKEevXqPbFORkZGvkEeXV1ddXvlSW5uLtevXy93g2X/JYNSQmtq165NeHg48fHxBAUFsWDBAhYuXEjz5s1Zs2YNGzdupHv37kDeUvbr1q2jc+fOtGzZkkOHDvH//t//o1q1agBs3LiR1157jbfffpuOHTuiKAp79+5F/1/z3KhUKlxdXbl48aLGXVIARkZGHDhwgL///pt27drx3nvv8cYbb7BixYqnvi5VOfvmI15eKkXB+EGSZE5oheRNaJtkTmibZE5ok+St/PH09GTz5s2EhYVhYmJCXFwccXFxPHjwQF1myJAh+Pj4qLednZ0JCgpi69atxMbGcvDgQXx9fXF2dlYPTqWlpREVFUVUVBQAsbGxREVFcevWLa1eX25uLvfv3y/3g1IoQohnkpycrABKQkJCWXdFvCKysrKUU6dOKVlZWQUe9/PzUwCNl62traIoipKQkKB4eXkpjRs3VgwNDRVra2vlo48+UpKSkoo8Z25uruLr66tYWloqhoaGyhtvvKH89ttvGmUSEhIUNzc3xcTERDE1NVVGjBihpKamqo/HxsYqXbt2VYyMjJSuXbsqsbGxGvXfeust5ZtvvnmGd0SUpiflTYiSJpkT2iaZE9okeSt//vt78+PXxo0b1WW6deumDB06VL2dlZWl+Pv7Kw0aNFD/Tj1+/HglMTFRXebo0aMFtvvvdrShrDP3+PNycnJykeVkonMhhHiJNG/enEOHDqm3H0/uf+fOHe7cucPChQtp1qwZv//+O2PHjuXOnTt88803hbY3f/58li1bRmhoKPXq1cPX1xcnJycuX76MoaEhkPc47F9//cXBgwfJyspi+PDhjB49mrCwMAA+/vhjatWqRXBwMDNmzGDq1Knqc27btg0dHR3efffd0npLhBBCCCGEyEcpxl1r4eHhGtt6enr4+fnh5+dXaJ3u3buXu0f5yjMZlBLiOZX3iePEy0NHR4fatWsXmTk9PT0sLS3z7W/RogU7duxQbzdo0ICAgAA+/PBDsrOzC1yZUlEUli5dyowZM9TztX355ZfUqFGDXbt28cEHHxAdHc3+/fs5d+4cbdu2BWD58uX07duXhQsXYmVlRXR0NIsXL6ZRo0YMGzZMPXdcUlISM2bM4MiRI8/1vojSUZy8CVGSJHNC2yRzQpskb0LbXpTMyaCUKBPDhg0jKSmJXbt2lXVXnpvON1XAqKx7IV4FOkCh64G45f015tq1a1hZWWFoaEjHjh0JDAykTp06BVZJTk6mcuXKBQ5IQd7z73FxcTg6Oqr3mZqa4uDgwKlTp/jggw84deoUZmZm6gEpAEdHR3R0dDhz5gwDBgzA3t6eQ4cO0atXL3744QdatmwJwLRp0/D09MTa2vqp3wtR+h7/IiOEtkjmhLZJ5oQ2Sd6Etr0omSvfQ2aiWIYNG4aLi0tZd+OVlSNju0JLctAnWt+VHPQLPO7g4EBISAj79+8nKCiI2NhYunbtSmpqar6y8fHxzJ49m9GjRxd6vri4OIB8K1LWqFFDfSwuLo7q1atrHNfT06Nq1arqMgsXLuTKlSvY2Nhw7do1Fi5cyI8//khUVBRDhgxh0KBB1K9fn7Fjx5KZmVn8N0SUqpycHKKjo8nJySnrrohXhGROaJtkTmiT5E1o24uSORmUEq+U0vjAq6Aq8TaFKIiCimSd+oVmrk+fPgwcOJCWLVvi5OTE3r17SUpKYvv27RrlUlJSeOutt2jWrBn+/v6l3u9atWqxZ88ebt26xZ49ezA3N2f8+PGsXr2aL774AhMTE65evcq1a9dYs2ZNqfdHFI+iKCQnJ8ucCEJrJHNC2yRzQpskb+VXYGAg7dq1w8TEhOrVq+Pi4sLVq1efWG/p0qXY2tpSsWJFrK2tmTx5Mg8fPnzudkvKi5I5GZR6iYWEhGBmZqaxb9euXahUeR9oFUXB0dERJycndVD//vtvateuzcyZM9V11q9fT9OmTTE0NKRJkyasWrVKfezmzZuoVCq2b99O165dqVixIu3ateO3335TzzFTqVIl+vTpw/379/P1cdasWVhYWFC5cuV8d0k8evSICRMmUL16dQwNDenSpQvnzp0r9vUB+Pv706pVK9avX0+9evXUEzNfuXKFLl26YGhoSLNmzTh06BAqleqleJxQiMfMzMxo3LgxMTEx6n2pqan07t0bExMTdu7cib5+wXddAeq5qe7evaux/+7du+pjlpaW3Lt3T+N4dnY2f//9d4FzWwHMmTOHXr168dprrxEeHs67776Lvr4+77zzTr7JJIUQQgghhChNx44dw9PTk9OnT6sX7unVqxfp6emF1gkLC8Pb2xs/Pz+io6MJDg5m27ZtfPrpp8/V7qtInjt6halUKkJDQ7Gzs2PZsmVMnDiRsWPHUqtWLfWg1JYtW5g5cyYrVqygdevWXLhwgVGjRmFsbMzQoUPVbfn5+bF06VLq1KnDiBEjcHNzw8TEhP/9738YGRkxaNAgZs6cSVBQkLrO4cOHMTQ0JDw8nJs3bzJ8+HCqVatGQEAAAJ988gk7duwgNDSUunXrMn/+fJycnIiJiaFq1arFvs6YmBh27NjBt99+i66uLjk5Obi4uFCnTh3OnDlDamoqH3/88RPbefToEY8ePVJvp6SkFLsPQpSFtLQ0rl+/jru7O5CXWScnJwwMDPjuu+/Ug7SFqVevHpaWlhw+fJhWrVqp2zhz5gzjxo0DoGPHjiQlJREZGclrr70GwJEjR8jNzcXBwSFfm9HR0YSFhREVFQXk3VaclZUFQFZWVrm/vVgIIYQQQrxc9u/fr7EdEhJC9erViYyM5PXXXy+wzsmTJ+ncuTNubm4A2NjY4OrqypkzZ56r3VeRDEq94mrVqsWaNWsYMmQIcXFx7N27lwsXLqgnPvbz82PRokW88847QN6H1MuXL7NmzRqNQampU6fi5OQEwMSJE3F1deXw4cN07twZgJEjRxISEqJx7goVKrBhwwaMjIxo3rw5n3/+OdOmTWP27Nk8ePCAoKAgQkJC6NOnDwDr1q3j4MGDBAcHM23atGJfY2ZmJl9++SUWFhZA3jeH69evEx4err6TIyAggDfffLPIdgIDA5k1a1a+/csaX8HQpHKx+yPEM1MUjB8mEW44EVT/eYTvQjx7l/jR5PVeVKlpTcr9OA6tnk+mosO9Fr3w/ymWDeMHkvXwAR8uCiHgRKy6qnEVc3R0dQFY/E5HnLxm0LznWwC0GjSKGbNmc1G3BlWt6nAwaC5G5pZcs+nC3AvxgAWNO/Wk34fDcfl0ITnZWXzjP4GWTgP48m4FuBv/r+4rrB05nNe9ZrH8twfAAyravsb0hSs5lm3BtjUbsHd65//aFWVOUTDOrUb4z4n58yZEaZDMCW2TzAltkryVS96tzfPtS05OBijyRohOnTqxefNmzp49S/v27blx4wZ79+5V/zG4IMVptyTp6OhQv359WX1PlH8DBw5k586dzJ07l6CgIBo1agRAeno6169fZ+TIkYwaNUpdPjs7G1NTU402Hq+mBf9MimxnZ6ex77+P+Njb22Nk9M+ydR07diQtLY0//viD5ORksrKy1INaAPr6+rRv357o6Oinur66deuqB6QArl69irW1tcajRe3bt39iOz4+PkyZMkW9nZKSkrdqmPxQEdqiUpFesUqhh5Pv3mGrzxgykhMxrlINm1YOjAvdR6Uq5tyIOMEflyIBWNhfM++f7ImkilXeCn33b8bwMO2fuwBfH/oRmQ8y2PnFFB6mplC3lQPDV2xD3+Cfu6zeD1jNd/O8WT/2HVQ6OrTo+TbOn8zJ17+zO76kUjULmr7eS73Pccw0tn46llVDnWjcqScdBo14tvdGlLwn5E2IEieZE9ommRPaJHl7IeTm5jJp0iQ6d+5MixYtCi3n5uZGfHw8Xbp0QVEUsrOzGTt2rMbje8/SbknS0dHJtyBReSSDUi8xHR2dfJOaPX5M5t8yMjKIjIxEV1eXa9euqfenpaUBeXco/fcxHN3/u6visX/PS/N4Tqf/7svNzX3GKylYca/P2Ni4RM5nYGCAgYFBvv0qpWSvS4jCqJRcaiTGcrdKPRRV/r94uM5dV2jd+m07E3g+/7xu//XfMiqVijfHefPmOO9C6xiZVuGDOU+eoNzhvaE4vDdUY1+lqhZ4rN7xxLpC+56UNyFKmmROaJtkTmiT5O3F4OnpyaVLlzh+/HiR5cLDw5kzZw6rVq3CwcGBmJgYJk6cyOzZs/H19X3mdktSTk4Oly5dokWLFvk+v5cn8tXwErOwsCA1NVVjIrXH87j828cff4yOjg779u1j2bJlHDlyBMi7u8nKyoobN27QsGFDjVe9evWeu38XL17kwYMH6u3Tp09TqVIlrK2tadCgARUqVODEiRPq41lZWZw7d45mzZo91fX9l62tLX/88YfG5M3/nkD9qZXz1QzES0RR0Mt+JJkT2iF5E9ommRPaJpkT2iR5K/e8vLzYs2cPR48epXbt2kWW9fX1xd3dHQ8PD+zs7BgwYABz5swhMDAw380YT9NuSVIUhQcPHpT71ffkTqmXRHJycr4BmWbNmmFkZMSnn37KhAkTOHPmTL55nb7//ns2bNjAqVOnaNOmDdOmTWPo0KH8/PPPVKlShVmzZjFhwgRMTU3p3bs3jx49IiIigsTERI1H2Z5FZmYmI0eOZMaMGdy8eRM/Pz+8vLzQ0dHB2NiYcePGMW3aNKpWrUqdOnWYP38+GRkZjBw5EgAHBx7vVCUAAMVwSURBVIcnXl9B3nzzTRo0aMDQoUOZP38+qampzJgxA0Bj5T4hhBBCCCGEEC83RVH46KOP2LlzJ+Hh4cW6ASMjIyPfXE2P70Z6PAj0LO2+iuROqZdEeHg4rVu31njNnj2bzZs3s3fvXuzs7Pjqq6/w9/dX17l//z4jR47E39+fNm3aADBr1ixq1KjB2LFjAfDw8GD9+vVs3LgROzs7unXrRkhISIl8Qb3xxhs0atSI119/nffff59+/fpp9G/u3Lm8++67uLu706ZNG2JiYjhw4ABVquQ9i121atUir68wurq67Nq1i7S0NNq1a4eHhwefffYZwBNXIxNCCCGEEEII8fLw9PRk8+bNhIWFYWJiQlxcHHFxcRpP9QwZMgQfHx/1trOzM0FBQWzdupXY2FgOHjyIr68vzs7O6sGp4rQrQKWU93u5hNCCEydO0KVLF2JiYmjQoEGx6qSkpGBqakpSUlK+id+FKA2KopCcnIypqWmhd/X5+/vnWyXS1taWK1eu8Pfff+Pn58cPP/zArVu3sLCwwMXFhdmzZxeZ4W+//ZbVq1cTGRnJ33//zYULF2jVqlWhfezbty/79+9n586duLi4APD3338zdOhQjh49SqNGjdiwYQOtW7dW1/P09KR+/fp8/PHHT/emiFJTnLwJUZIkc0LbJHNCmyRv5Vdh/x8bN25k2LBhAHTv3h0bGxv1kznZ2dkEBASwadMmbt++jYWFBc7OzgQEBGBmZlbsdktTWWfu8efl5ORkKlcufLV6eXxPvJJ27txJpUqVaNSokXpSus6dOxd7QOrf5IeK0BaVSqX+IVeU5s2bc+jQIfW2nl7et/o7d+5w584dFi5cSLNmzfj9998ZO3Ysd+7c4Ztvvim0vfT0dLp06cKgQYM0VuIsyNKlSwv8mggICCA1NZXz588TFBTEqFGjiIiIAPLmkztz5gzLli174rUJ7Slu3oQoKZI5oW2SOaFNkrfyqzj36YSHh2ts6+np4efnh5+f33O1W5pelMzJoJR4JaWmpjJ9+nRu3bqFubk5jo6OLFq06Jnays7OLuHeCVGw7OxsLly4QOvWrdUDTQXR09PD0tIy3/4WLVqwY8c/K901aNCAgIAAPvzwQ7Kzswtt093dHYCbN28W2b+oqCgWLVpEREQENWvW1DgWHR3NBx98QOPGjRk9ejRr164F8hYwGDt2LOvXry/Xq4K8ioqbNyFKimROaJtkTmiT5E1o24uSufLbMyFK0ZAhQxgyZEjJNPatJRhllUxbQhSpAjkG0+BaFyBT85DbP3+JuXbtGlZWVhgaGtKxY0cCAwOpU6dOgS0+vp32eX9QZWRk4ObmxsqVKwscELO3t+fIkSN4eHhw4MABWrZsCcD8+fPp3r07bdu2fa7zi9KRk5NT1l0QrxjJnNA2yZzQJsmb0LYXIXMy0bl4ori4OCZOnEjDhg0xNDSkRo0adO7cmaCgIDIyMsq6e0KIf3FwcCAkJIT9+/cTFBREbGwsXbt2JTU1NV/Z+Ph4Zs+ezejRo5/7vJMnT6ZTp07079+/wOPe3t7o6enRoEEDdu7cSXBwMNeuXSM0NBRfX1/Gjh1L/fr1GTRoEMnJyc/dHyGEEEIIIUT5J4NSokg3btygdevW/PDDD8yZM4cLFy5w6tQpPvnkE/bs2aMxb83TyMzMfHIhIcRT69OnDwMHDqRly5Y4OTmxd+9ekpKS2L59u0a5lJQU3nrrLZo1a1asVSuL8t1333HkyBGWLl1aaBlTU1PCwsL4/fffOXbsGM2aNWPMmDEsWLCALVu2cOPGDa5evYqRkRGff/75c/VHCCGEEEKIpxUYGEi7du0wMTGhevXquLi4cPXq1SfWW7p0Kba2tlSsWBFra2smT57Mw4cP1ceDgoJo2bIllStXpnLlynTs2JF9+/aV5qW8UGRQShRp/Pjx6OnpERERwaBBg2jatCn169enf//+fP/99zg7OwOQlJSEh4cHFhYWVK5cmZ49e3Lx4kV1O/7+/rRq1Yr169dTr149DA0NgbzJ19asWcPbb7+NkZERTZs25dSpU8TExNC9e3eMjY3p1KkT169fV7d1/fp1+vfvT40aNahUqRLt2rXLNzhmY2PDnDlzGDFiBCYmJtSpU0c9hw1Az5498fLy0qhz//59KlSowOHDh5/qPdJFHt0T2qFLFi0z1zxV5szMzGjcuDExMTHqfampqfTu3RsTExN27tyJvr7+c/XryJEjXL9+HTMzM/T09NSPAr777rt07969wDobN27EzMyM/v37Ex4ejouLC/r6+gwcODDfRJKibOjq6tKyZUuZ60tojWROaJtkTmiT5K38O3bsGJ6enpw+fZqDBw+SlZVFr169SE9PL7ROWFgY3t7e+Pn5ER0dTXBwMNu2bePTTz9Vl6lduzZz584lMjKSiIgIevbsSf/+/fn1119L9XpelMzJoJQoVEJCAj/88AOenp4YGxsXWObxKlsDBw7k3r177Nu3j8jISNq0acMbb7zB33//rS4bExPDjh07+Pbbb4mKilLvnz17NkOGDCEqKoomTZrg5ubGmDFj8PHxISIiAkVRNAaQ0tLS6Nu3L4cPH+bChQv07t0bZ2dnbt26pdG3RYsW0bZtWy5cuMD48eMZN26ceqTbw8ODsLAwHj16pC6/efNmatWqRc+ePQu81kePHpGSkqLxEkK7FCooKUDxV/JIS0vj+vXr6onHU1JS6NWrFxUqVOC7775TDxA/D29vb37++WeioqLUL4AlS5awcePGfOXv37/P559/zvLly4G8Z92zsvIG2rKysl6IZ99fFRUqVCjrLohXjGROaJtkTmiT5K18279/P8OGDaN58+bY29sTEhLCrVu3iIyMLLTOyZMn6dy5M25ubtjY2NCrVy9cXV05e/asuoyzszN9+/alUaNGNG7cmICAACpVqsTp06dL/ZpehMzJROeiUDExMSiKgq2trcZ+c3Nz9e2Inp6eODs7c/bsWe7du4eBgQEACxcuZNeuXXzzzTfq+WoyMzP58ssvsbCw0Ghv+PDhDBo0CIDp06fTsWNHfH19cXJyAmDixIkMHz5cXd7e3h57e3v19uzZs9m5cyffffedxuBV3759GT9+vLrdJUuWcPToUWxtbXnnnXfw8vJi9+7d6nOHhIQwbNiwApezh7zbOWfNmpVv/9JG1zCobPaEd1OI56fKzaFW/FVum9ui6PznLx4X4gHYu8SPJq/3okpNa1Lux3Fo9XwyFR3uteiF/0+xbBg/kKyHD/hwUQgBJ2LV1Y2rmKPzf39FWfxOR5y8ZtC851sAZCQnkhT3Jyn34wCYv/8c5lcSMalWHRPzGuT9KMk/ufm5bDMykkzUfXts62fjsBs0hk33DOBePJk2rViwZiO/127H90tWULVxG+b+p47QviLzJkQpkMwJbZPMCW2SvJVv3q3N8+17PM9p1apVC63XqVMnNm/ezNmzZ2nfvj03btxg79696tWr/ysnJ4evv/6a9PR0OnbsWDKdL0ROTg4RERG0bdtWVt8TL5ezZ8+Sm5vL4MGDefToERcvXiQtLY1q1applHvw4IHGY3d169bNNyAFqFfhAqhRowYAdnZ2GvsePnxISkoKlStXJi0tDX9/f77//nv++usvsrOzefDgQb47pf7drkqlwtLSknv37gFgaGiIu7s7GzZsYNCgQZw/f55Lly7x3XffFXrdPj4+TJkyRb2dkpKCtbV1ke+VENqWfPcOW33GkJGciHGVati0cmBc6D4qVTHnRsQJ/riU95eehf3ba9T7ZE8kVazyVui7fzOGh2n/3AkYfWw/3/hPUG9/5ZM30PzG6Gk4jv3kqfr328kjJPwRy6DZq9T7Or4/ktvRUawa6kTt5m14Y8y0p7toIYQQQgghSlBubi6TJk2ic+fOtGjRotBybm5uxMfH06VLFxRFITs7m7Fjx2o8vgfwyy+/0LFjRx4+fEilSpXYuXMnzZo1K+3LeCHIoJQoVMOGDVGpVPkmd6tfvz4AFStWBPIeD6pZs2aB88CYmZmp/13YI4D/ns/m8V1KBe3Lzc0FYOrUqRw8eJCFCxfSsGFDKlasyHvvvZdv8vT/zpOjUqnUbUDeI3ytWrXizz//ZOPGjfTs2ZO6desW2EcAAwMD9Z1gQpRXrnPXFXqsftvOBJ6//8Q2/lvmtX6uvNbP9an6Udh5GnfqSeNOmo/IVqhohNu84KdqXwghhBBCiNLi6enJpUuXOH78eJHlwsPDmTNnDqtWrcLBwYGYmBgmTpzI7Nmz8fX1VZeztbUlKiqK5ORkvvnmG4YOHape/OdVJ4NSolDVqlXjzTffZMWKFXz00UeFDiq1adOGuLg49PT0sLGxKfV+nThxgmHDhjFgwAAgb1Ds5s2bT92OnZ0dbdu2Zd26dYSFhbFixYoS7qkQQgghhBBCiBeJl5cXe/bs4ccff6R27dpFlvX19cXd3R0PDw8g7zNmeno6o0eP5rPPPkNHJ28a7woVKtCwYUMAXnvtNc6dO8f//vc/1qxZU7oX8wKQic5FkVatWkV2djZt27Zl27ZtREdHc/XqVTZv3syVK1fQ1dXF0dGRjh074uLiwg8//MDNmzc5efIkn332GRERESXep0aNGqknS7948SJubm4ad0A9DQ8PD+bOnYuiKOpBrqelqOTLSGiHotLJm4dAMie0QPImtE0yJ7RNMie0SfJW/j1eYGvnzp0cOXKEevXqPbFORkaGeuDpscer3SlK4YsT5ebmaiy6VRp0dXVp27ZtuV99T+6UEkVq0KABFy5cYM6cOfj4+PDnn39iYGBAs2bNmDp1KuPHj0elUrF3714+++wzhg8fzv3797G0tOT1119XzxFVkhYvXsyIESPo1KkT5ubmTJ8+/ZlXwnN1dWXSpEm4urqWyCpkQpQ23dxssnXL/yoa4uUgeRPaJpkT2iaZE9okeSvfPD09CQsLY/fu3ZiYmBAXl7fIj6mpqXrqmiFDhlCrVi0CAwOBvJX1Fi9eTOvWrdWP7/n6+uLs7KweDPLx8aFPnz7UqVOH1NRUwsLCCA8P58CBA6V+TZmZmeq+l1uKEK+w2NhYRUdHR4mMjHzqusnJyQqgJCQklELPhMgvKytLOXXqlJKVlfXEsn5+fgqg8bK1tVUURVESEhIULy8vpXHjxoqhoaFibW2tfPTRR0pSUlKRbf63vcev+fPnq8tERkYqjo6OiqmpqVK1alVl1KhRSmpqqvp4QkKC8vbbbyvGxsZKq1atlPPnz2ucY/z48crChQuf5m0RpeRp8iZESZDMCW2TzAltkryVf4X9rrtx40Z1mW7duilDhw5Vb2dlZSn+/v5KgwYN1L9Xjx8/XklMTFSXGTFihFK3bl2lQoUKioWFhfLGG28oP/zwQ6lfT1ln7vHn5eTk5CLLyZ1S4pWUlZVFQkICM2bMoEOHDrRp06asuyREiWvevDmHDh1Sbz9eCvbOnTvcuXOHhQsX0qxZM37//XfGjh3LnTt3+Oabbwpt76+//tLY3rdvHyNHjuTdd99Vt+vo6Mj777/PihUrSElJYdKkSQwbNkzdbkBAAKmpqZw/f56goCBGjRqlfsz39OnTnDlzhmXLlpXo+yCEEEIIIcSTKEU8bvfYfxf30tPTw8/PDz8/v0LrBAfLgj5FkUEp8Uo6ceIEPXr0oHHjxkV+CBfiRaanp4elpWW+/S1atGDHjh3q7QYNGhAQEMCHH35Idna2evDqv/7b1u7du+nRo4d6Rc49e/agr6/PypUr1c/Wr169mpYtWxITE0PDhg2Jjo7mgw8+oHHjxowePZq1a9cCeQPFY8eOZf369eX+uXchhBBCCCFEyZBBKVEu+fv7s2vXLqKiokql/e7duxdrJLxYvrUEo6ySaUuIIlVA12Ai3OgGZBZezC0v29euXcPKygpDQ0M6duxIYGAgderUKbBKcnIylStXLnRA6r/u3r3L999/T2hoqHrfo0ePqFChgsZkj4+fYT9+/DgNGzbE3t6eI0eO4OHhwYEDB2jZsiUA8+fPp3v37rRt27ZY5xfaIQOEQtskc0LbJHNCmyRvQttehMzJ1P+iRJw6dQpdXV3eeuutsu6K1ukhA1JCO/TIpN2jBegVNSD1fxwcHAgJCWH//v0EBQURGxtL165dSU1NzVc2Pj6e2bNnM3r06GL3JTQ0FBMTE9555x31vp49exIXF8eCBQvIzMwkMTERb29v4J9H/7y9vdHT06NBgwbs3LmT4OBgrl27RmhoKL6+vowdO5b69eszaNAgkpOTi90fUfL09PRo165dsQcqhXhekjmhbZI5oU2SN6FtL0rmZFBKlIjg4GA++ugjfvzxR+7cuVPW3QHyHgf6r8zMJ3+Yf1oKqhJvU4iCKOiQpFMfpRjfuvv06cPAgQNp2bIlTk5O7N27l6SkJLZv365RLiUlhbfeeotmzZrh7+9f7L5s2LCBwYMHa6xa2bx5c0JDQ1m0aBFGRkZYWlpSr149atSoob57ytTUlLCwMH7//XeOHTtGs2bNGDNmDAsWLGDLli3cuHGDq1evYmRkxOeff17s/oiSpygKSUlJJXdXqRBPIJkT2iaZE9okeXtxBAYG0q5dO0xMTKhevTouLi5cvXr1ifWWLl2Kra0tFStWxNramsmTJ/Pw4UP18aCgIFq2bEnlypWpXLkyHTt2ZN++faV2HS9K5mRQSjy3tLQ0tm3bxrhx43jrrbcICQlRHwsPD0elUnH48GHatm2LkZERnTp1yvdFPXfuXGrUqIGJiQkjR47U+OIFyM3N5fPPP6d27doYGBjQqlUr9u/frz5+8+ZNVCoV27Zto1u3bhgaGrJlyxaGDRuGi4sLAQEBWFlZYWtrC8CmTZto27YtJiYmWFpa4ubmxr17957p+nPkKVihJTnocUXf9ZkyZ2ZmRuPGjYmJiVHvS01NpXfv3piYmLBz50709fWL1dZPP/3E1atX8fDwyHfMzc2NuLg4bt++TUJCAv7+/ty/f18979R/bdy4ETMzM/r37094eDguLi7o6+szcODAfBNJCu3KycnhypUr5OTklHVXxCtCMie0TTIntEny9uI4duwYnp6enD59moMHD5KVlUWvXr1IT08vtE5YWBje3t74+fkRHR1NcHAw27Zt49NPP1WXqV27NnPnziUyMpKIiAh69uxJ//79+fXXX0vlOl6UzMmglHhu27dvp0mTJtja2vLhhx+yYcOGfKOxn332GYsWLSIiIgI9PT1GjBihUd/f3585c+YQERHB/2fvvsOiuvI/jr+HKiCCBRUUBQvYEWNZITGWxBqixljAhrGhkIgtEQ2CGsSKRmNDCaCRqDG2tcYSMHZB0bAiUjSsRqMYAQFFyvz+4OdsJhRBcUTzfT0Pzzr3nnPm3tnPZJjDKebm5qxevVqt/tdff83SpUtZsmQJly9fpkePHnz44YfEx8erlZsxYwaTJk0iNjaWHj16AHD06FHi4uI4fPgwe/fuBQpGUc2bN49Lly6xa9cubty4gaura4n3mZ2dTXp6utqPEK+LjIwMEhMTMTc3BwpGSHXv3h09PT327NmjNuLpWYKCgnjrrbews7MrtkytWrWoXLkyW7dupVKlSrz//vuFyty7d4+5c+eycuVKoOCD8+kIx5ycnAr/ASqEEEIIId48Bw8exNXVlebNm2NnZ0dISAjJyclERUUVW+fUqVM4Ojri4uKClZUV3bt3x9nZmXPnzqnKODk50bt3bxo3boyNjQ1+fn5UrlyZM2fOaOK2KiwZ4iFeWFBQEMOGDQOgZ8+epKWlERERQefOnVVl/Pz8ePfdd4GCjqM+ffrw+PFjKlWqxPLlyxk9ejSjR48G4KuvvuLIkSNqo6WWLFnCF198wZAhQwBYuHAhP//8M8uXL2fVqlWqcp6enmpr3AAYGRmxYcMG9PT0VMf+2inWoEEDVqxYQbt27cjIyKBy5cpF3qe/vz9z5swpdHxl4yvoVzEtzUslxAtR5OdRJyWOCKtPUWqVsGjhxRT2L/OhSafuVDW3JP3eHY6sXcQTpRZ3W3TH95frfDtxIDmPHzFsaQh+J6+rqhpVrYHW/y+IGPBRR3p4fEnzrv9bK+5xxkPCtv5AnylzWHAxpdBTn9qygfp27dAzrEzCmXAOfD2HHp9+ydrruYB6+S2zJtBy0Hg23dWHuyk8sWrN4nXB/Fa3HfuWfUM1mzZFPofQDEV+HnXSnhBx6X7JeROinEjmhKZJ5oQmSd5eDzPsaxQ69nSd02rVqhVbz8HBge+++45z587Rvn17kpKS2L9/P8OHDy+yfF5eHj/88AOZmZl07NixfC7+NSWdUuKFxMXFce7cOXbu3AkULKY2ePBggoKC1Dqlnu6wBahGaty9e5d69eoRGxuLm5ubWrsdO3bk559/BgpGdPz+++84OjqqlXF0dOTSpUtqx4rauatly5ZqHVIAUVFR+Pr6cunSJR48eEB+fj4AycnJNGvWrMh79fLyYsqUKarH6enpWFpagkLWlBIaolCQq6Nfqsyl/fE7W7zGk5X2AKOq1bFq3YEJoQeoXLUGSZEn+W9MwV96lvRtr1bv871RVLUo2KHv3o0EHmeojwi8fGgnoMSuh3rn71M3/3ORI+sW8SQrEzOrxvSbuYQ2HwwqVO7aqWPc/+91Bs3736jIjoNHcys2mtUje1C3eRu6jZ/+zPsUL1EZ8iZEuZDMCU2TzAlNkry9lvLz8/H09MTR0ZEWLVoUW87FxYWUlBTefvttlEolubm5uLm5qU3fA/j111/p2LEjjx8/pnLlyuzcubPY758vSqFQYGBggKKCZ046pcQLCQoKIjc3FwsLC9UxpVKJvr4+33zzjerYX9eqefqmeNoRVJ6MjIyeeSwzM5MePXrQo0cPNm/ejJmZGcnJyfTo0aPEhdD19fXR19cvdFypkFmwQjOUCi3uVGtYqrLOC9YXe65BW0f8L9x7ZhtFlWk/YATtB4wots6geauKPfdXNg5dsXHoqnZMz8AQl4VBpaovXr6y5E2I8iCZE5ommROaJHl7Pbm7uxMTE8OJEydKLBceHs78+fNZvXo1HTp0ICEhgUmTJjFv3jy8vb1V5WxtbYmOjiYtLY3t27czcuRI1eY/5U1bW7vE5TYqCvk2LZ5bbm4uGzduZOnSpURHR6t+Ll26hIWFBd9//32p2mnatClnz55VO/bXebVVqlTBwsKCkydPqpU5efLkc715r169yv3791mwYAHvvPMOTZo0ee5FzgGo4LsZiDeIUonRoweSOaEZkjehaZI5oWmSOaFJkrfXjoeHB3v37uXnn3+mbt26JZb19vZm+PDhjBkzhpYtW9K/f3/mz5+Pv7+/2mAMPT09GjVqxFtvvYW/vz92dnZ8/fXXL+X68/PzuXv37ksZDFKeZKSUeG579+7lwYMHjB49GhMTE7VzAwYMICgoiMWLFz+znUmTJuHq6krbtm1xdHRk8+bN/Oc//1HbrWv69On4+PjQsGFDWrduTXBwMNHR0WzevLnM112vXj309PRYuXIlbm5uxMTEMG/evDK385RCWbHf5OLNoVDmU/XhbbL0q6BUyFoE4uWSvAlNk8wJTZPMCU2SvL0+lEoln376KTt37iQ8PBxra+tn1snKykJLS33Mj/b/r9P6903A/io/P5/s7OwXu+AS2k5KSqJatWqFrq0ikU4p8dyCgoJ47733CnVIQUGn1KJFi7h8+fIz2xk8eDCJiYl8/vnnPH78mAEDBjBhwgQOHTqkKvPZZ5+RlpbG1KlTuXv3Ls2aNWPPnj00bty4zNdtZmZGSEgIM2fOZMWKFbRp04YlS5bw4YcflrktIV4HR9Yu4migegexmVUjpuw4DcDOr6aScO446ffuoG9gRD27dvT8bDY1rYt/f2VnZXBwxTyuhB8gK+0B1Szq4eA8lg4fu6rKBI7ty/WoU2r12g8YSf9ZSwDISnvAD7M9SIo8QfV6DfjY52ssmvxv/bnd/p9Tra4V7wyf+KIvgRBCCCGEEKXi7u5OWFgYu3fvxtjYmDt37gBgYmKCgYEBACNGjKBOnTr4+/sDBTvrBQQEYG9vr5q+5+3tjZOTk6pzysvLi169elGvXj0ePnxIWFgY4eHhat97/4kUypK67YQQxUpPT8fExIT79++XuBODEOUlNzeXyMhI2rZti45O6f+m4Ovry/bt2zly5IjqmI6ODjVqFOwuEhgYSJMmTahXrx5//vknvr6+REdHc/36ddWH6N+NGzeOY8eOsWHDBqysrPjpp5+YOHEiO3bsUHXwdu7cGRsbG+bOnauqZ2hoSJUqVQCYOnUqUVFRBAYGsmbNGn755RciIyOBgim8Hh4enD17tthrEC/X8+ZNiOclmROaJpkTmiR5e30UtzB4cHAwrq6uQMHvuVZWVoSEhAAF///6+fmxadMmbt26hZmZGU5OTvj5+WFqagrA6NGjOXr0KLdv38bExIRWrVrxxRdf8P7777+U+3jVmXv6fTktLU31+39R5N0gxAuq6LsZiDeHQqHAxMTkuTKno6ND7dq1izw3btw41b+trKz46quvsLOz48aNGzRsWPSCnKdOnWLkyJGqXTbHjRvHunXrOHfunNqoQ0NDw2KfNzY2liFDhmBjY8O4ceMIDAwEICcnBzc3NzZs2CAdUq/Qi+RNiOchmROaJpkTmiR5e32UZtxOeHi42mMdHR18fHzw8fEptk5QkGY39HldMldxJxYK8ZqQL81CU7S1tWnatOlzZS4+Ph4LCwsaNGjA0KFDSU5OLrJcZmYmwcHBWFtbY2lpWWx7Dg4O7Nmzh1u3bqFUKvn555+5du0a3bt3Vyu3efNmatSoQYsWLfDy8iIrK0t1zs7OjmPHjpGbm8uhQ4do1apg6t6iRYvo3Lkzbdu2LfN9ivLzInkT4nlI5oSmSeaEJknehKa9LpmT6XvilQoPD6dLly48ePBANazx70JCQvD09CQ1NVWj1/YsT4cjPlivhamhLHYuXr58tPld2xGLvJNokVe6Si5KDhw4QEZGBra2tty+fZs5c+Zw69YtYmJiMDY2BmD16tV8/vnnZGZmYmtry759+4odJQWQnZ3NuHHj2LhxIzo6OmhpabF+/XpGjBihKhMYGEj9+vWxsLDg8uXLfPHFF7Rv354dO3YAkJaWxoQJEzh58iRWVlasWbMGXV1d+vTpw+nTp5k1axY//fQTbdu2Zf369UWuXydenvz8fH7//XcsLCwq9OKY4s0hmROaJpkTmiR5E5r2qjNX2ul78m4QZebq6opCocDNza3QOXd3dxQKhWqu7T9BPhW751m8OfLR5qbOO2XOXK9evRg4cCCtWrWiR48e7N+/n9TUVLZt26YqM3ToUC5evEhERAQ2NjYMGjSIx48fF9vmypUrOXPmDHv27CEqKoqlS5fi7u6utm7VuHHj6NGjBy1btmTo0KFs3LiRnTt3kpiYCBQsFhkWFsZvv/1GREQEzZo1Y/z48SxevJjNmzeTlJREXFwchoaGautSCc3Iz8/n5s2bFX4bYfHmkMwJTZPMCU2SvAlNe10yJ51S4rlYWlqyZcsWHj16pDr2+PFjwsLCqFev3iu8MiHEs5iammJjY0NCQoLqmImJCY0bN6ZTp05s376dq1evsnPnziLrP3r0iJkzZxIQEICTkxOtWrXCw8ODwYMHs2TJkmKft0OHDgBqz/tXwcHBmJqa0rdvX8LDw+nXrx+6uroMHDiw0Lx9IYQQQgghXhZ/f3/atWuHsbExNWvWpF+/fsTFxT2z3vLly7G1tcXAwABLS0smT55c7B96FyxYgEKhwNPTs5yv/vUinVLiubRp0wZLS0vVNByAHTt2UK9ePezt7VXHsrOz+eyzz6hZsyaVKlXi7bff5vz58yW2HRISQr169TA0NKR///7cv3+/UJk1a9bQsGFD9PT0sLW1ZdOmTapzLi4uDB48WK18Tk4ONWrUYOPGjQAcPHiQt99+G1NTU6pXr84HH3ygGr0hxJsuIyODxMREzM3NizyvVCpRKpVkZ2cXeT4nJ4ecnJxCw4C1tbVL/EtMdHQ0QJHPe+/ePebOncvKlSsByMvLIycnR/V8eXmlnK4ohBBCCCHEC4qIiMDd3Z0zZ85w+PBhcnJy6N69O5mZmcXWCQsLY8aMGfj4+BAbG0tQUBBbt25l5syZhcqeP3+edevWqdZU/SeTTinx3D755BOCg4NVj7/99ltGjRqlVubzzz/nxx9/JDQ0lAsXLtCoUSN69OjBn3/+WWSbZ8+eZfTo0Xh4eBAdHU2XLl346quv1Mrs3LmTSZMmMXXqVGJiYhg/fjyjRo3i559/BgqmIf373/8mIyNDVefQoUNkZWXRv39/oGAx5ylTphAZGcnRo0fR0tKif//+JX6hzs7OJj09Xe0HQIuKPRxSvDm0yMcsL7rMmZs2bRoRERHcuHGDU6dO0b9/f7S1tXF2diYpKQl/f3+ioqJITk7m1KlTDBw4EAMDA3r37q1qo0mTJqqRU1WqVOHdd99l+vTphIeHc/36dUJCQti4caPqPZaYmMi8efOIiorixo0b7NmzhxEjRtCpU6ciP3w9PT2ZOnUqderUAcDR0ZFNmzYRGxtLYGAgjo6Oz/uyieekpaWFmZmZrHshNEYyJzRNMic0SfL2ejl48CCurq40b94cOzs7QkJCSE5OJioqqtg6p06dwtHRERcXF6ysrOjevTvOzs6cO3dOrVxGRgZDhw5l/fr1VK1a9aXdw+uSOVnoXJSZq6srqamprF+/HktLS9UwxiZNmvDf//6XMWPGYGpqyqpVq6hatSohISG4uLgABSMerKys8PT0VH2h/etC5y4uLqSlpbFv3z7V8w0ZMoSDBw+qFjp3dHSkefPmqu3jAQYNGkRmZib79u0jNzcXc3NzAgICGD58OFAweio/P58tW7YUeU8pKSmYmZnx66+/0qJFiyLL+Pr6MmfOnELHfY4nUamycdlfSCE05PsZY7l+4TRZaQ8wqlodq9Yd6O4+k+qW1qTfu8OPcz35PfYyj9JTqVzdDKs2Hek2dhpmVo1UbXi1MeNj3xW89aEzAA9T/uDQyq+IPxNOVnoqVc3r0u6jEbw91A2FQkHqnVts+3ICdxKvkvMoC5NaFjTv0ocuY6YUer9cO3WMw2sXMiHkgOpD88mjLLb7fsq1U8eo27wNQ+avpXI1M829aEIIIYQQ4h9phn2NQscSEhJo3Lhxid8Xw8LCmDhxIj/99BPt27cnKSmJPn36MHz4cLXRUiNHjqRatWosW7aMzp0707p1a5YvX/6ybueVKe1C5zoavCbxhjEzM6NPnz6EhISgVCrp06cPNWr87w2cmJhITk6O2ggHXV1d2rdvT2xsbJFtxsbGqkZaPNWxY0cOHjyoVmbcuHFqZRwdHfn6668B0NHRYdCgQWzevJnhw4eTmZnJ7t271Tqk4uPjmT17NmfPniUlJUU1Qio5ObnY/8h4eXkxZcoU1eP09HQsLS1BKSOlhIYo86macYcHlWuDovR/8XBesL7Yc1XMajNqZdGdtX/lf+Ge2mPjGrX4eM7KYsub1q7DuA17SnV9Ng5dsXHoqnZMz8AQl4VBpaovXpLnzJsQz00yJzRNMic0SfL22srPz8fT0xNHR8divytCwUCIlJQU3n77bZRKJbm5ubi5ual1SG3ZsoULFy48c0mb8rru69evY21tXaFHS1XcKxOvhU8++YSQkBBCQ0P55JNPXvXlqAwdOpSjR49y9+5ddu3ahYGBAT179lSdd3Jy4s8//2T9+vWcPXuWs2fPAvDkyZNi29TX16dKlSpqPwAKGWwoNEShVGL0KFUyJzRC8iY0TTInNE0yJzRJ8vb6cnd3JyYmpthZN0+Fh4czf/58Vq9ezYULF9ixYwf79u1j3rx5APz3v/9l0qRJbN68mUqVKr30687Pz+fevXuy+554s/Xs2ZMnT56Qk5NDjx491M49XYj85MmTqmM5OTmcP3+eZs2aFdle06ZNVR1ET505c6ZQmb+2CXDy5Em1Nh0cHLC0tGTr1q1s3ryZgQMHoqurC8D9+/eJi4vjyy+/pFu3bjRt2pQHDx6U/eaFEEIIIYQQQryxPDw82Lt3Lz///DN169Ytsay3tzfDhw9nzJgxtGzZkv79+zN//nz8/f3Jz88nKiqKu3fv0qZNG3R0dNDR0SEiIoIVK1ago6Pzj93YR6bviReira2tmoqnra2tds7IyIgJEyYwffp0qlWrRr169Vi0aBFZWVmMHj26yPY+++wzHB0dWbJkCX379uXQoUNqU/cApk+fzqBBg7C3t+e9997j3//+Nzt27ODIkSNq5VxcXFi7di3Xrl1TLYIOULVqVapXr05gYCDm5uYkJyczY8aM8ng5hBBCCCGEEEK85pRKJZ9++ik7d+4kPDwca2vrZ9bJysoqcnfqp+1169aNX3/9Ve38qFGjaNKkCV988UWh79P/FNIpJV5YSYuWLViwgPz8fIYPH87Dhw9p27Ythw4dKnaXgX/961+sX78eHx8fZs+ezXvvvceXX36pGvII0K9fP77++muWLFnCpEmTsLa2Jjg4mM6dO6u1NXToUPz8/Khfv77aulZaWlps2bKFzz77jBYtWmBra8uKFSsK1S8tpULxXPWEKCulQkG6kVmZM3dk7SKOBi5WO2Zm1YgpO04DsPOrqSScO076vTvoGxhRz64dPT+bTU3rxsW2+fD+XQ6umEv86XAeZ6RjZf8vPvzCnxr1GgKQlfaAI2sXEn8mnNQ7tzCqWp1mnXvRfYIXlYyrqMr8MNuDpMgTVK/XgI99vsaiyf925tvt/znV6lrxzvCJZbpfUT6eN29CPC/JnNA0yZzQJMnb68Xd3Z2wsDB2796NsbExd+7cAcDExAQDAwMARowYQZ06dfD39wcKlogJCAjA3t6eDh06kJCQgLe3N05OTmhra2NsbFxoTSojIyOqV69e4lpVz0tLS4u6detW6PWkQHbfE+K5lXY3ASFeNV9fX7Zv3642mlBHR0e1MUFgYCBNmjShXr16/Pnnn/j6+hIdHc3169eL/IuNUqnEwcEBXV1dli5dSpUqVQgICODgwYNcuXIFIyMjYmJi8PHxwdXVlWbNmvHbb7/h5uZGq1at2L59OwBTp04lKiqKwMBA1qxZwy+//EJkZCRQMG3Xw8ODs2fP/mP/aiSEEEIIIV4NRTGdh8HBwbi6ugLQuXNnrKysCAkJASA3Nxc/Pz82bdrErVu3MDMzw8nJCT8/P0xNTYtsT3bfk04pIZ7b0zfZn3/+WezILyHKU15eHteuXcPGxqZMHTW+vr7s2rWL6OjoUpW/fPkydnZ2JCQk0LBhw0Lnr127hq2tLTExMTRv3hwoWEixdu3azJ8/nzFjxhTZ7g8//MCwYcPIzMxER0eH3r178+GHH+Lm5kZsbCxt27YlMzOTnJwc2rVrx4YNG2jbtm2p71OUr+fNmxDPSzInNE0yJzRJ8iY07VVnrrSdUhV7HJcQrwHp1xWaolQqSUtLe67MxcfHY2FhQYMGDRg6dCjJyclFlsvMzCQ4OBhra2ssLS2LLJOdnQ2gtmuIlpYW+vr6nDhxothrePqBpKNTMHPczs6OY8eOkZuby6FDh2jVqmDq3qJFi+jcubN0SL1iL5I3IZ6HZE5ommROaJLkTWja65I5WVNKvPFu3LiBtbU1Fy9epHXr1uX/BDtqg2FO+bcrRCF6oD8dkt4FnpSuiouSDh06EBISgq2tLbdv32bOnDm88847xMTEYGxsDMDq1av5/PPPyczMxNbWlsOHD6Onp1dkk0+n+nl5ebFu3TqMjIxYtmwZN2/e5Pbt20XWSUlJYd68eYwbN051bMaMGUyYMIGGDRtiZWVFUFAQ8fHxhIaGcvr0adzc3Pjpp59o27Yt69evx8TEpEyvlhBCCCGEEKJik5FS4qU6ffo02tra9OnTp1zbDQkJKXZe7t9ZWlpy+/btl7J4nBCvg169ejFw4EBatWpFjx492L9/P6mpqWzbtk1VZujQoVy8eJGIiAhsbGwYNGgQjx8/LrI9XV1dduzYwbVr16hWrRqGhob8/PPP9OrVq8iFFNPT0+nTpw/NmjXD19dXddzExISwsDB+++03IiIiaNasGePHj2fx4sVs3ryZpKQk4uLiMDQ0ZO7cueX+ugghhBBCCCFeLemUEi9VUFAQn376KcePH+f333/X+PM/efIEbW1tateurZoyVN60yH0p7Qrxd1rk0iB33wtnztTUFBsbGxISElTHTExMaNy4MZ06dWL79u1cvXqVnTt3FtvGW2+9RXR0NKmpqdy+fZuDBw9y//59GjRooFbu4cOH9OzZE2NjY3bu3Imurm6xbQYHB2Nqakrfvn0JDw+nX79+6OrqMnDgQMLDw1/onkXZaWlp0aBBgwq/Y4t4c0jmhKZJ5oQmSd5ef/7+/rRr1w5jY2Nq1qxJv379iIuLe2a95cuXY2tri4GBAZaWlkyePFntj7++vr4oFAq1nyZNmrzw9b4umavYVydeaxkZGWzdupUJEybQp08f1a4EUPRIp127dqntcnDp0iW6dOmCsbExVapU4a233iIyMpLw8HBGjRpFWlqa6k37dPSFlZUV8+bNY8SIEVSpUoVx48Zx48YNFAqFapHnvLw8Ro8ejbW1NQYGBtja2vL1118/931qUbHn6Io3hxb51MyLRov8F2onIyODxMREzM3NizyvVCpRKpWqtaNKYmJigpmZGfHx8URGRtK3b1/VufT0dLp3746enh579uxRW4Pq7+7du8fcuXNZuXIlUPA+zckpmBabk5NDXl5eWW5RlAMtLS1q1qxZ4X+REW8OyZzQNMmc0CTJ2+svIiICd3d3zpw5w+HDh8nJyaF79+5kZmYWWycsLIwZM2bg4+NDbGwsQUFBbN26lZkzZ6qVa968Obdv31b9lLROa2m9Lpmr2FcnXmvbtm2jSZMm2NraMmzYML799tsyLbI2dOhQ6taty/nz54mKimLGjBno6uri4ODA8uXLqVKliupNO23aNFW9JUuWYGdnx8WLF/H29i7Ubn5+PnXr1uWHH37gypUrzJ49m5kzZ6pNZSpKdnY26enpaj8AebI0m9CQPHS5pDeePIofbVSUadOmERERwY0bNzh16hT9+/dHW1sbZ2dnkpKS8Pf3JyoqiuTkZE6dOsXAgQMxMDCgd+/eqjaaNGmiNnLqhx9+IDw8nKSkJHbv3s37779Pv3796N69O/C/DqnMzEyCgoJIT0/nzp073Llzp8gOJk9PT6ZOnUqdOnUAcHR0ZNOmTcTGxhIYGIijo+PzvGTiBeTl5XHp0iXpEBQaI5kTmiaZE5okeXv9HTx4EFdXV5o3b46dnR0hISEkJycTFRVVbJ1Tp07h6OiIi4sLVlZWdO/eHWdnZ86dO6dWTkdHh9q1a6t+atSo8cLX+7pkTr5Ni5cmKCiIYcOGAdCzZ0/S0tKIiIigc+fOpaqfnJzM9OnTVUMXGzdurDpnYmKCQqGgdu3ahep17dqVqVOnqh7fuHFD7byuri5z5sxRPba2tub06dNs27aNQYMGFXs9/v7+avWeWtE4Fv0qpqW6JyFehCI/jzopcRysMQelVim3db2YwuFfEwkMHUxW2gOMqlbHqnUHXIP2E3RTQfq9LH7cd5T5S5bxKD2VytXNsGrTEdcN+/j2lhbcSgEgLi6OsMs3ibMqeHzyfDy/bPQk4/49jGvUwv6DQdiPncqCiwXnkyJPcvbsWQAaNWqkdkmf742iqkU91eNrp45x/PJVmk9Zpqr/5O0hPDlyEvt27anbvA1tpnqozgnNKMhbGgdzU0qfNyFegGROaJpkTmiS5O31NsO+cCdRWloaANWqVSu2noODA9999x3nzp2jffv2JCUlsX//foYPH65W7ulO2ZUqVaJjx474+/tTr169YlotHaVSyaNHj2T3PfHPFBcXx7lz51QjK3R0dBg8eDBBQUGl7pSaMmUKY8aMYdOmTbz33nsMHDiQhg0bPrNeabaRX7VqFd9++y3Jyck8evSIJ0+ePHNnPi8vL6ZMmaJ6nJ6ejqWl5TOfS4hXzXnB+mLPVTGrzaiVW57Zhv+Fe2qPHZ3H4eg8rpjS0KCtY6E6xbFx6IqNQ1e1Y3oGhrgsDCpVfSGEEEIIITQpPz8fT09PHB0dS9xQy8XFhZSUFN5++22USiW5ubm4ubmpTd8rzU7ZbzKZvideiqCgIHJzc7GwsEBHRwcdHR3WrFnDjz/+SFpaGlpaWoV6bJ+uH/OUr68v//nPf+jTpw/Hjh2jWbNmJS68/JSRkVGJ57ds2cK0adMYPXo0P/30E9HR0YwaNYonT56UWE9fX58qVaqo/QghhBBCCCGE+Gdxd3cnJiaGLVtK/uNueHg48+fPZ/Xq1Vy4cIEdO3awb98+5s2bpypTmp2y32QyUkqUu9zcXDZu3MjSpUtV68s81a9fP77//nvq16/Pw4cPyczMVHUiPV2I/K9sbGywsbFh8uTJODs7ExwcTP/+/dHT03vuubEnT57EwcGBiRMnqo4lJiY+V1sASoX07QrNUCq0SDGtJ5kTGiF5E5ommROaJpkTmiR5e3N4eHiwd+9ejh8/Tt26dUss6+3tzfDhwxkzZgwALVu2JDMzk3HjxjFr1qwiFyEvaqfs56GtrU2TJk3Q1q7Y00XlHSHK3d69e3nw4AGjR4+mRYsWaj8DBgwgKCiIDh06YGhoyMyZM0lMTCQsLExtd75Hjx7h4eFBeHg4v/32GydPnuT8+fM0bdoUKNhlLyMjg6NHj5KSkkJWVlapr69x48ZERkZy6NAhrl27hre3N+fPn3/+G/7LjoFCvFQKBY/1KkvmhGZI3oSmSeaEpknmhCZJ3l57SqUSDw8Pdu7cybFjx7C2tn5mnaysrEIdT087iYpb6+lZO2WXlkKhwNTUVG2H+4pIOqVEuQsKCuK9997DxMSk0LkBAwYQGRnJzZs3+e6779i/fz8tW7bk+++/x9fXV1VOW1ub+/fvM2LECGxsbBg0aBC9evVSLTTu4OCAm5sbgwcPxszMjEWLFpX6+saPH89HH33E4MGD6dChA/fv31cbNVVWivyKvZuBeHMULJB59bkyd2TtIrzamKn9BHzUsVA5pVJJsMdgvNqY8Z+f9xfbXl5ODge+nsvyQZ2Y7VCf+d1bsM3bnfR7d9TKLezTptDzhgd/rTr/4Pdk1o12YrZDfdaNduLB78lq9UM+cyHm6L/LfL/ixb1I3oR4HpI5oWmSOaFJkrfXn7u7O9999x1hYWEYGxurdpZ+9OiRqsyIESPw8vJSPXZycmLNmjVs2bKF69evc/jwYby9vXFyclJ1TpW0U/aLyM3N5fz58+Tm5r5QOy+bQlnRl2IXooJKT0/HxMSE+/fvl7jjghDlJTc3l8jISNq2bYuOTtlmX/v6+rJ9+3aOHDmiOqajo1Nou9lly5Zx+PBhDhw4wM6dO+nXr1+R7aWlpfHxxx8zduxY7OzsePDgAZMmTSIvL4/IyEhVOSsrK0aPHs3YsWNVx4yNjVXTdgcMGICenh5z587lyy+/JC8vj+3btwOwdetWNm/ezJ49e8p0r6J8vEjehHgekjmhaZI5oUmSt9dfcSOOgoODcXV1BaBz585YWVmpZgHl5ubi5+fHpk2buHXrFmZmZjg5OeHn54epqSkAQ4YM4fjx49y/fx8zMzPefvtt/Pz8SrXJV0ledeaefl9OS0srcT1meTcIIcQ/hI6ODrVr1y72fHR0NEuXLiUyMvKZw4VNTEw4fPiw2rFvvvmG9u3bk5ycrLaFrbGxcbHPGxsbS0BAAI0bN8bV1ZVp06YBkJqaypdffsmxY8dKe3tCCCGEEEK8NKUZzxMeHq72WEdHBx8fH3x8fIqt86zF0t90Mn1PCCH+IeLj47GwsKBBgwYMHTqU5OT/TZXLysrCxcWFVatWldhxVZK0tDTV3PW/WrBgAdWrV8fe3p7FixerDSG2s7PjyJEj5Ofn89NPP9GqVSsApk+fjru7O5aWls91LUIIIYQQQoiKT6bviX8MKysrPD098fT0LJf2ng5HTF0PJobl0qQQJVKi4JGiOgbK+ygow3+6XZQcOHCAjIwMbG1tuX37NnPmzOHWrVvExMRgbGzM+PHjycvLY8OGDUDB8OSSpu/93ePHj3F0dKRJkyZs3rxZdTwgIIA2bdpQrVo1Tp06hZeXF6NGjSIgIACAW7duMX78eC5fvkyrVq1Yt24diYmJTJ06lUOHDuHm5kZkZCTdu3dnxYoV6Onplf6+xQtRKpU8evQIAwODCr9ApngzSOaEpknmhCZJ3oSmverMlXb6nnRKiZfmzp07+Pn5sW/fPm7dukXNmjVp3bo1np6edOvW7aU9b0hICJ6enqSmpqodv3fvHkZGRhgalk8PknRKCU1TAnnooc0TyvSx4lL4P/OpqanUr1+fgIAAzMzMmDp1KhcvXqRy5cpA2TqlcnJyGDBgADdv3iQ8PLzED51vv/2W8ePHk5GRgb6+fqHz2dnZvPXWW4SGhrJ582bS0tJYu3YtPXv2pF+/fnz66aelv2/xQpRKJXl5eWhra8svz0IjJHNC0yRzQpMkb0LTXnXmStspJdP3xEtx48YN3nrrLY4dO8bixYv59ddfOXjwIF26dMHd3b3IOjk5OS/1mszMzMqtQ+qv8tAt9zaFKEoeekTqTyePFx8tZGpqio2NDQkJCRw7dozExERMTU3R0dFRLYQ4YMAAOnfuXGI7OTk5DBo0iN9++43Dhw+X+IED0KFDB3Jzc7lx40aR5+fPn0/37t156623CA8PZ8CAAejq6vLRRx8VmqMvXq6ni9bn5ckuQUIzJHNC0yRzQpMkb28Gf39/2rVrh7GxMTVr1qRfv37ExcU9s97y5cuxtbXFwMAAS0tLJk+ezOPHj9XK3Lp1i2HDhlG9enUMDAxo2bKl2gZCZfW6ZE46pcRLMXHiRBQKBefOnWPAgAHY2NjQvHlzpkyZwpkzZ4CCkRhr1qzhww8/xMjICD8/PwDWrFlDw4YN0dPTw9bWlk2bNqm1HRAQQMuWLTEyMsLS0pKJEyeSkZEBFCwsN2rUKNXaNgqFAl9fX6Bg+t7y5ctL1Y4Qb7qMjAwSExMxNzdnxowZXL58mejoaNUPFOzEFxwcXGwbTzuk4uPjOXLkCNWrV3/m80ZHR6OlpUXNmjULnYuNjSUsLIx58+YBBR+kTzurc3JyKvwHqhBCCCGEeLNFRETg7u7OmTNnOHz4MDk5OXTv3p3MzMxi64SFhTFjxgx8fHyIjY0lKCiIrVu3MnPmTFWZBw8e4OjoiK6uLgcOHODKlSssXbqUqlWrauK2XinZfU+Uuz///JODBw/i5+en2vb9r/66CLKvry8LFixg+fLl6OjosHPnTiZNmsTy5ct577332Lt3L6NGjaJu3bp06dIFAC0tLVasWIG1tTVJSUlMnDiRzz//nNWrV+Pg4MDy5cuZPXu2qsf66XSkvyupnaJkZ2eTnZ2tepyenv68L5EQGjdt2jScnJyoX78+v//+Oz4+Pmhra+Ps7IyZmVmRi5vXq1cPa2tr1eMmTZrg7+9P//79ycnJ4eOPP+bChQvs3buXvLw87ty5A0C1atXQ09Pj9OnTnD17li5dumBsbMzp06eZPHkyw4YNK/QBq1QqGTduHMuWLVP9d8PR0ZH169djY2PDxo0bcXZ2fomvkBBCCCGEECU7ePCg2uOQkBBq1qxJVFQUnTp1KrLOqVOncHR0xMXFBSgYLOHs7MzZs2dVZRYuXIilpaXaH4T/+nv4m0w6pUS5S0hIQKlU0qRJk2eWdXFxYdSoUarHzs7OuLq6MnHiRADVyKolS5aoOqX+ulC5lZUVX331FW5ubqxevRo9PT1MTExQKBTP3EGspHaK4u/vz5w5cwodX9n4CvpVTJ95r0K8KEV+HnVS4oiw+hSllnbpK15M4fCviQSGDiYr7QFGVatj1boDrkH7CbqpgJspRVb7MSmdqxf/dy4uLo6wyzeJs0rhwe/J7NmzB4DWrVur1RsbuIsGbR25dT2L3UHf4eXtQ27OE6pZ1KPN4HE0HjaBBRfVn/Ps9lBS9U2JqfMvYv7/XLUBn/LTTDfs27XHxqErjxwHF6onXh5Ffh510p4Qcel+2fImxHOSzAlNk8wJTZK8vf5m2NcodCwtLQ0o+KNscRwcHPjuu+84d+4c7du3Jykpif379zN8+HBVmT179tCjRw8GDhxIREQEderUYeLEiYwdO7b8b6SCkU4pUe7KsnZ+27Zt1R7HxsYybtw4tWOOjo58/fXXqsdHjhzB39+fq1evkp6eTm5uLo8fPyYrK6tMa0aVtR0vLy+mTJmiepyeno6lpSVKhcyCFZqhVGhxq4btc2XOecH6MpX3v3CvxGNVLeoVWeav6jS1Y+LGgyWWearDxyPp8PFItWOVq5kxZu2Ppaovyt+L5E2I5yGZE5ommROaJHl78+Tn5+Pp6YmjoyMtWrQotpyLiwspKSm8/fbbKJVKcnNzcXNzU5u+l5SUxJo1a5gyZQozZ87k/PnzfPbZZ+jp6TFy5Mhi2y6JtrY2bdu2RVu7YneCyjtClLvGjRujUCi4evXqM8sWNb2vJDdu3OCDDz6gVatW/Pjjj0RFRbFq1SoAnjx58lLb0dfXp0qVKmo/Qmiadn7uq74E8Q8ieROaJpkTmiaZE5okeXuzuLu7ExMTw5YtW0osFx4ezvz581m9ejUXLlxgx44d7Nu3T7WOKhR0cLVp04b58+djb2/PuHHjGDt2LGvXrn2hayzLd+RXRTqlRLmrVq0aPXr0YNWqVUUu+Jaamlps3aZNm3Ly5Em1YydPnqRZs2YAREVFkZ+fz9KlS/nXv/6FjY0Nv//+u1p5PT29Zy6IXJp2SkuhzH+uekKUlUKZT+0/EyVzQiMkb0LTJHNC0yRzQpMkb28WDw8P9u7dy88//0zdunVLLOvt7c3w4cMZM2YMLVu2pH///syfPx9/f3/y8wvyYG5urvrO+1TTpk1JTk5+7mvMy8vj8uXLFX6zIOmUEi/FqlWryMvLo3379vz444/Ex8cTGxvLihUr6NixY7H1pk+fTkhICGvWrCE+Pp6AgAB27NjBtGnTAGjUqBE5OTmsXLmSpKQkNm3aVKj32MrKioyMDI4ePUpKSgpZWVmFnqc07QghhBBCCCGEEE8plUo8PDzYuXMnx44dK9Vi5FlZWWhpqXe9PJ1S93TpG0dHR9VGXU9du3aN+vXrl9OVV1zSKSVeigYNGnDhwgW6dOnC1KlTadGiBe+//z5Hjx5lzZo1xdbr168fX3/9NUuWLKF58+asW7eO4OBgOnfuDICdnR0BAQEsXLiQFi1asHnzZvz9/dXacHBwwM3NjcGDB2NmZsaiRYsKPU9p2hHiTXNk7SK82pip/QR8VLiTWKlUEuwxGK82Zvzn5/0ltvmDj0ehNr91H6RW5t5viWycPJx5XW3xfceatZ/0IfH8CdX5rLQHhE4aio9jfVY4d+H3q5fV6u/2/5xfNhW9AYEQQgghhBCa4u7uznfffUdYWBjGxsbcuXOHO3fu8OjRI1WZESNG4OXlpXrs5OTEmjVr2LJlC9evX+fw4cN4e3vj5OSk6pyaPHkyZ86cYf78+SQkJBAWFkZgYCDu7u4av0dNUyjLsiq1EEIlPT0dExMT7t+/X+JuC0KUl9zcXC5evIi9vT06OmXfp8LX15ft27dz5MgR1TEdHR1q1FDfSWTZsmUcPnyYAwcOsHPnTvr161dsm66urvzxxx9q29fq6+tTtWpV1WMbGxsaN26Mv78/BgYGLF++nJCQEBITE6lduzZTp04lKiqKwMBA1qxZwy+//EJkZCQAZ86cwcPDg7Nnz1b4RRrfNC+aNyHKSjInNE0yJzRJ8vZmUCgURR4PDg7G1dUVgM6dO2NlZUVISAhQ8P+9n58fmzZt4tatW5iZmeHk5ISfnx+mpqaqNvbu3YuXlxfx8fFYW1szZcqUF9p971Vn7un35bS0tBLXY5ZOKSGeU2nfZEJUFL6+vuzatYvo6Ohiy0RHR/PBBx8QGRmJubl5qTqlUlNT2bVrV5HnU1JSMDMz4/jx47zzzjsAPHz4kCpVqnD48GHee+89evfuzYcffoibmxuxsbG0bduWzMxMcnJyaNeuHRs2bCi0U6cQQgghhBCi4irt92WZvifEC5J+XaEpSqWS1NTUF8pcfHw8FhYWNGjQgKFDh6otnpiVlYWLiwurVq2idu3apW4zPDycmjVrYmtry4QJE7h//77qXPXq1bG1tWXjxo1kZmaSm5vLunXrqFmzJm+99RZQMJ322LFj5ObmcujQIVq1agXAokWL6Ny5s3RIvSLlkTchykIyJzRNMic0SfImNO11yZyMlBL/WFZWVnh6euLp6flc9VXT99brUs0wp3wvTogi5KJHpP502mYvRocybu/qouTAgQNkZGRga2vL7du3mTNnDrdu3SImJgZjY2PGjx9PXl4eGzZsAAqGJz9rpNSWLVswNDTE2tqaxMREZs6cSeXKlTl9+rRqut3Nmzfp168fFy5cQEtLi5o1a7Jv3z7s7e0BSEtLY8KECZw8eRIrKyvWrFmDrq4uffr04fTp08yaNYuffvqJtm3bsn79ekxMTJ7r9RNlk5ubS2RkJG3btpVpBkIjJHNC0yRzQpMkb0LTXnXmSjtSSt4NokSurq6EhoYCBWvPVKtWjVatWuHs7Iyrq2uhXQSEEBVXr169VP9u1aoVHTp0oH79+mzbtg0zMzOOHTvGxYsXy9TmkCFDVP9u2bIlrVq1omHDhoSHh9OtWzeUSiXu7u7UrFmTX375BQMDAzZs2ICTkxPnz5/H3NwcExMTwsLC1Nrt2rUrixcvZvPmzSQlJREXF8fYsWOZO3cuS5cufbEXQgghhBBCCFEhSI+CeKaePXty+/Ztbty4wYEDB+jSpQuTJk3igw8+IDc391VfXpk9eVLGESZCvKFMTU2xsbEhISGBY8eOkZiYiKmpKTo6Oqq/pgwYMEC1+2VpNGjQgBo1apCQkADAsWPH2Lt3L1u2bMHR0ZE2bdqwevVqDAwMVB3efxccHIypqSl9+/YlPDycfv36oaury8CBAwkPD3/R2xZCCCGEEOKF+Pv7065dO4yNjalZsyb9+vUjLi7umfWWL1+Ora0tBgYGWFpaMnnyZB4/fqxW5tatWwwbNozq1atjYGBAy5YtVZsAvYmkU0o8k76+PrVr16ZOnTq0adOGmTNnsnv3bg4cOKDaUSA1NZUxY8ZgZmZGlSpV6Nq1K5cuXVK14evrS+vWrdm0aRNWVlaYmJgwZMgQHj58qCrTuXNnPv30Uzw9PalatSq1atVi/fr1ZGZmMmrUKIyNjWnUqBEHDhxQ1cnLy2P06NFYW1tjYGCAra0tX3/9tdr1u7q60q9fP/z8/LCwsMDW1rbI+9ywYQOmpqYcPXq0TK+PApkBKzRDgRIDZUq5ZS4jI4PExETMzc2ZMWMGly9fJjo6WvUDBTvx/XVnvWe5efMm9+/fx9zcHChYpwooNKpSS0uL/Pz8QvXv3bvH3LlzWblyJVDwHs/JKZgem5OTQ15eXpnvUzwfhUKBgYFBsbvMCFHeJHNC0yRzQpMkb2+WiIgI3N3dOXPmDIcPHyYnJ4fu3buTmZlZbJ2wsDBmzJiBj48PsbGxBAUFsXXrVmbOnKkq8+DBAxwdHdHV1eXAgQNcuXKFpUuXqu1sXVqvS+Zk+p54Ll27dsXOzo4dO3YwZswYBg4ciIGBAQcOHMDExIR169bRrVs3rl27RrVq1QBITExk165d7N27lwcPHjBo0CAWLFiAn5+fqt3Q0FA+//xzzp07x9atW5kwYQI7d+6kf//+zJw5k2XLljF8+HCSk5MxNDQkPz+funXr8sMPP1C9enVOnTrFuHHjMDc3Z9CgQap2jx49qtrtqyiLFi1i0aJF/PTTT7Rv377IMtnZ2WRnZ6sep6enA6DN6zdaTLyetMnB7sm6564/bdo0nJycqF+/Pr///js+Pj5oa2vj7OyMmZlZkYub16tXD2tra9XjJk2a4O/vT//+/cnIyGDOnDkMGDCA2rVrk5iYyOeff06jRo3o0aMHAB07dqRq1aqMHDmS2bNnY2BgwPr167l+/Tp9+vQp9Hyenp5MnTqVOnXqAODo6MimTZvo3r07gYGBODo6Pvf9i7LR1tbGzs7uVV+G+AeRzAlNk8wJTZK8vVkOHjyo9jgkJISaNWsSFRVFp06diqxz6tQpHB0dcXFxAQrWOHZ2dubs2bOqMgsXLsTS0lLtj8J//V28LF6XzEmnlHhuTZo04fLly5w4cYJz585x9+5d9PX1AViyZAm7du1i+/btjBs3DoD8/HxCQkIwNjYGYPjw4Rw9elStU8rOzo4vv/wSAC8vLxYsWECNGjUYO3YsALNnz2bNmjVcvnyZf/3rX+jq6jJnzhxVfWtra06fPs22bdvUOqWMjIzYsGEDenp6he7jiy++YNOmTURERNC8efNi79ff31/tuZ4KsEmkknHxC7cJUW6USowep5JZyRTK+hePiykc/jWRwNDBZKU9wKhqdaxad8A1aD9BNxVwM6XIaj8mpXP14v/OxcXFEXb5JnFWKeQ8fsTuE5GsCQrh8cM0jM1q0/hfnRk4cQbLrjwECkZCDvl6Cz9940fHd7uQn5tDzQZNGBqwkQP5dTjwl7avnTrG8ctXaT5lGQv+//iTt4fw5MhJ7Nu1p27zNrSZ6qE6J16yF8mbEM9DMic0TTInNEny9saYYV+j0LG0tDQA1YCMojg4OPDdd99x7tw52rdvT1JSEvv372f48OGqMnv27KFHjx4MHDiQiIgI6tSpw8SJE1Xfh8siPz+flJQUatSoUaHXgpZOKfHclEolCoWCS5cukZGRQfXq1dXOP3r0iMTERNVjKysrVYcUgLm5OXfv3lWr83QreCjo2a1evTotW7ZUHatVqxaAWr1Vq1bx7bffkpyczKNHj3jy5AmtW7dWa7dly5ZFdkgtXbqUzMxMIiMjadCgQYn36+XlxZQpU1SP09PTsbS0RKEsPAVJiJdBocyn6sPbZOlXQanQLnN95wXry1Te/8K9Eo/pVjLgk9U/PLOdus1al6qcjUNXbBy6qh3TMzDEZWFQKa5WlLcXzZsQZSWZE5ommROaJHl7c+Xn5+Pp6YmjoyMtWrQotpyLiwspKSm8/fbbKJVKcnNzcXNzU5u+l5SUxJo1a5gyZQozZ87k/PnzfPbZZ+jp6TFy5MgyX1dSUhLVqlWTTinxZoqNjcXa2pqMjAzMzc2LXIDY1NRU9W9dXV21cwqFotCaMkWV+euxp/Nhn9bbsmUL06ZNY+nSpXTs2BFjY2MWL16sNgQSCkZKFeWdd95h3759bNu2jRkzZpR4v/r6+qqRYEIIIYQQQgghhLu7OzExMZw4caLEcuHh4cyfP5/Vq1fToUMHEhISmDRpEvPmzcPb2xso+J7btm1b5s+fD4C9vT0xMTGsXbu2zJ1SrwvplBLP5dixY/z6669MnjyZunXrcufOHXR0dLCystLodZw8eRIHBwcmTpyoOvbX0VnP0r59ezw8POjZsyc6OjpMmzbtZVymEEIIIYQQQog3jIeHB3v37uX48ePUrVu3xLLe3t4MHz6cMWPGAAWzeTIzMxk3bhyzZs1CS0sLc3NzmjVrplavadOm/Pjjjy/tHl416ZQSz5Sdnc2dO3fIy8vjjz/+4ODBg/j7+/PBBx8wYsQItLS06NixI/369WPRokXY2Njw+++/s2/fPvr370/btm1f2rU1btyYjRs3cujQIaytrdm0aRPnz58v02JwDg4O7N+/n169eqGjo4Onp2fZLkLmhAtNUSh4rGckmROaIXkTmiaZE5ommROaJHl7oyiVSj799FN27txJeHh4qb5/ZmVlFZpGp62trWoPCjb5iYuLUytz7do16tevX+ZrVCgUmJiYyO574vV38OBBzM3N0dHRoWrVqtjZ2bFixQpGjhypelPt37+fWbNmMWrUKO7du0ft2rXp1KmTag2ol2X8+PFcvHiRwYMHo1AocHZ2ZuLEiRw4cKBM7bz99tvs27eP3r17o62tzaefflrqukpFxZ2fK94sSoUWKaZl/0D6qyNrF3E0cLHaMTOrRkzZcVr9uZRKQj4dwrVTxxi2NJTmXXoX26ZXG7Mij/ea5EOnkR4A3Iq9xMEV87j5n4sotLVp0fUD+kydi75hZQCy0h7ww2wPkiJPUL1eAz72+RqLJv9bY263/+dUq2vFO8MnFvlcovyVR96EKAvJnNA0yZzQJMnbm8Xd3Z2wsDB2796NsbExd+7cAcDExAQDAwMARowYQZ06dfD39wfAycmJgIAA7O3tVdP3vL29cXJyUnVOTZ48GQcHB+bPn8+gQYM4d+4cgYGBBAYGlvkatbW1adq0aTnd8cujUD7tkhNClEl6ejomJiY8ePBAbe0sIV6W/Px8fv/9dywsLJ57sUJfX1+2b9/OkSNHVMd0dHSoUUN9F5Fly5Zx+PBhDhw4wM6dO+nXr1+xbT79EH7qwIEDjB49moSEBBo0aMDvv/9OixYtGDx4MJ6enqSnp+Pp6Ym5uTnbt28HYOrUqURFRREYGMiaNWv45ZdfiIyMBODMmTN4eHhw9uxZ1Qe2ePnKI29ClIVkTmiaZE5okuTtzVLc6KPg4GBcXV0B6Ny5M1ZWVoSEhACQm5uLn58fmzZt4tatW5iZmeHk5ISfn5/a98m9e/fi5eVFfHw81tbWTJky5bl333uVmXv6fTktLY0qVYrfrV5GSgnxgv6+WLsQL0t+fj43b96kdu3aL/TBoqOjQ+3atYs9Hx0dzdKlS4mMjMTc3PyZ7f29rd27d9OlSxfVjpZ79+5FV1eXVatWqa577dq1tGrVioSEBBo1akRsbCxDhgzBxsaGcePGqf4alJOTg5ubGxs2bJAOKQ0rr7wJUVqSOaFpkjmhSZK3N0tpxvb8fSMwHR0dfHx88PHxKbHeBx98wAcffPAilwe8PpmruFcmhBDipYiPj8fCwoIGDRowdOhQkpOTVeeysrJwcXFh1apVJXZcFeePP/5g3759jB49WnUsOzsbPT09tQ/Dp8Oan+5SYmdnx7Fjx8jNzeXQoUO0alUwdW/RokV07tz5pa5NJ4QQQgghhHg1ZKSUEC9qR20wzHnVVyH+EfRAfzokvQs8KXt1FyUdOnQgJCQEW1tbbt++zZw5c3jnnXeIiYnB2NhYNY+9b9++z3WFoaGhGBsb89FHH6mOde3alSlTprB48WImTZpEZmYmM2bMAOD27dsAzJgxgwkTJtCwYUOsrKwICgoiPj6e0NBQTp8+jZubGz/99BNt27Zl/fr1mJiYPNf1CSGEEEIIISoOGSn1hnF1dUWhUODm5lbonLu7OwqFQjXHtTz4+vrSunXrcmvvdaSFTN8TmqFFPmZ50S+UuV69ejFw4EBatWpFjx492L9/P6mpqWzbto09e/Zw7Ngxli9f/tztf/vttwwdOpRKlSqpjjVv3pzQ0FCWLl2KoaEhtWvXxtramlq1aqlGT5mYmBAWFsZvv/1GREQEzZo1Y/z48SxevJjNmzeTlJREXFwchoaGzJ0797mvT5SelpYWZmZmFXq4t3izSOaEpknmhCZJ3oSmvS6Zq9hXJ56LpaUlW7Zs4dGjR6pjjx8/JiwsjHr16r3CK3v18vLyyn0NKC3yyrU9IYqjRS4Nc/ehRW65tWlqaoqNjQ0JCQkcO3aMxMRETE1N0dHRQUenYDDtgAED6Ny58zPb+uWXX4iLi2PMmDGFzrm4uHDnzh1u3brF/fv38fX15d69e6p1p/4uODgYU1NT+vbtS3h4OP369UNXV5eBAwcWmp8vXg4tLS0aNmxY4X+REW8OyZzQNMmc0CTJ2z+Dv78/7dq1w9jYmJo1a9KvXz/i4uKeWW/58uXY2tpiYGCApaUlkydP5vHjx6rzeXl5eHt7Y21tjYGBAQ0bNmTevHklrm31umSuYl+deC5t2rTB0tKSHTt2qI7t2LGDevXqYW9vrzqWnZ3NZ599Rs2aNalUqRJvv/0258+fV50PDw9HoVBw9OhR2rZti6GhIQ4ODqo3VUhICHPmzOHSpUsoFAoUCoVqZ4HU1FTGjBmDmZkZVapUoWvXrly6dEnV9tMRVps2bcLKygoTExOGDBnCw4cPVWXy8/Px9/dXvfHs7OxUO3U9tWfPHho3bkylSpXo0qULoaGhKBQKUlNTVddoamrKnj17aNasGfr6+iQnJ/PgwQNGjBhB1apVMTQ0pFevXsTHxz/X652PLL4sNCMfHRJ1+pBfjjOvMzIySExMxNzcnBkzZnD58mWio6NVP1CwE19wcPAz2woKCuKtt97Czs6u2DK1atWicuXKbN26lUqVKvH+++8XKnPv3j3mzp3LypUrgYIP4ZycgimyOTk55OVJR7Am5Ofnk5iYKJs5CI2RzAlNk8wJTZK8/TNERETg7u7OmTNnOHz4MDk5OXTv3p3MzMxi64SFhTFjxgx8fHyIjY0lKCiIrVu3MnPmTFWZhQsXsmbNGr755htiY2NZuHAhixYtUv2+XJTXJXPSKfWG+uSTT9S+RH777beMGjVKrcznn3/Ojz/+SGhoKBcuXKBRo0b06NGDP//8U63crFmzVDtx6ejo8MknnwAwePBgpk6dSvPmzbl9+za3b99m8ODBAAwcOJC7d+9y4MABoqKiaNOmDd26dVNrOzExkV27drF371727t1LREQECxYsUJ339/dn48aNrF27lv/85z9MnjyZYcOGERERAcD169f5+OOP6devH5cuXWL8+PHMmjWr0GuRlZXFwoUL2bBhA//5z3+oWbMmrq6uREZGsmfPHk6fPo1SqaR3796qL75Fyc7OJj09Xe0HIF/eRkJD8tHinnbrF8rctGnTiIiI4MaNG5w6dYr+/fujra2Ns7MztWvXpkWLFmo/APXq1cPa2lrVRpMmTdi5c6dau+np6fzwww9FjpIC+Oabb7hw4QLXrl1j1apVeHh44O/vr7b97VOenp5MnTqVOnXqAODo6MimTZuIjY0lMDAQR0fH575/UXr5+fncu3evwv8iI94ckjmhaZI5oUmSt3+GgwcP4urqSvPmzbGzsyMkJITk5GSioqKKrXPq1CkcHR1xcXHBysqK7t274+zszLlz59TK9O3blz59+mBlZcXHH39M9+7d1cr83euSOVno/A01bNgwvLy8+O233wA4efIkW7ZsUU17yczMZM2aNYSEhNCrVy8A1q9fz+HDhwkKCmL69Omqtvz8/Hj33XeBgsWI+/Tpw+PHjzEwMKBy5cqFtpc/ceIE586d4+7du+jr6wOwZMkSdu3axfbt2xk3bhxQ8CYJCQnB2NgYgOHDh3P06FH8/PzIzs5m/vz5HDlyhI4dOwLQoEEDTpw4wbp163j33XdZt24dtra2LF68GABbW1tiYmLw8/NTey1ycnJYvXq1avRGfHw8e/bs4eTJkzg4OACwefNmLC0t2bVrFwMHDizyNfX392fOnDmFjq9sfAX9Kqal+b9FiBeiyM+jTkocEVafotR6jhF6F1M4/GsigaGDyUp7gFHV6li17oBr0H6CbirgZkqR1X5MSufqxf+di4uLI+zyTeKs/nfs3I8byclXcqdZdxZcLNzOtoO/8PmXs3mSlYmZVWM+8FpC1juDCpW9duoYxy9fpfmUZapzT94ewpMjJ7Fv1566zdvQZqpHkc8hypciP486aU+IuHT/+fImRBlJ5oSmSeaEJkne3nwz7GsUOpaWlgZAtWrViq3n4ODAd999x7lz52jfvj1JSUns37+f4cOHq5UJDAzk2rVr2NjYcOnSJU6cOEFAQED534iGSafUG8rMzIw+ffoQEhKCUqmkT58+1KjxvzdJYmIiOTk5aiMOdHV1ad++PbGxsWptPd2aHcDc3ByAu3fvFrs+1aVLl8jIyKB69epqxx89ekRiYqLqsZWVlapD6mnbd+/eBSAhIYGsrKxCU3uePHmimoIYFxdHu3bt1M63b9++0PXo6emp3UNsbCw6Ojp06NBBdax69erY2toWuve/8vLyYsqUKarH6enpWFpaFlteiIrIecH6MpX3v3CvVMfaDxhB+wEjim1n0LxVpXo+G4eu2Dh0VTumZ2CIy8KgUtUXQgghhBCiIsjPz8fT0xNHR0fVDISiuLi4kJKSwttvv41SqSQ3Nxc3Nze16XszZswgPT2dJk2aoK2tTV5eHn5+fgwdOlQTt/JSSafUG+yTTz7Bw8MDgFWrSveFsCi6urqqfysUCoAShwBmZGRgbm5e5GLEf52q89d2n7b9tN2MjAwA9u3bp5rC89TT0VelZWBgoLruF6Gvr1/kcyvLoW0hSkOpUJBuZCaZExoheROaJpkTmiaZE5okefvncXd3JyYmhhMnTpRYLjw8nPnz57N69Wo6dOhAQkICkyZNYt68eXh7ewOwbds2Nm/eTFhYGM2bNyc6OhpPT08sLCwYOXJkke1qaWlRt27dCr/QuXRKvcF69uzJkydPUCgU9OjRQ+1cw4YN0dPT4+TJk9SvXx8omOZ2/vx5PD09S/0cenp6hRYdbtOmDXfu3EFHRwcrK6vnuva/Lkr+dOrg39na2rJ//361Y39dqL04TZs2JTc3l7Nnz6qm792/f5+4uDiaNWtW9otVVOw3uXiDKLRINzJ71Vch/ikkb0LTJHNC0yRzQpMkb/8oHh4e7N27l+PHj1O3bt0Sy3p7ezN8+HDV2qwtW7YkMzOTcePGMWvWLLS0tJg+fTozZsxgyJAhqjK//fYb/v7+z+yUqujk2/QbTFtbm9jYWK5cuYK2tvq8ZSMjIyZMmMD06dM5ePAgV65cYezYsWRlZTF69OhSP4eVlRXXr18nOjqalJQUsrOzee+99+jYsSP9+vXjp59+Ui2oPGvWLCIjI0vVrrGxMdOmTWPy5MmEhoaSmJjIhQsXWLlyJaGhoQCMHz+eq1ev8sUXX3Dt2jW2bdum2v2vpJFRjRs3pm/fvowdO5YTJ05w6dIlhg0bRp06dejbt2+p7/0phbJiLxwn3hwKZT41Un+TzAmNkLwJTZPMCU2TzAlNkrz9MyiVSjw8PNi5cyfHjh1T2yyoOFlZWYVGMz39/q5UKkssU9IMpry8PGJjYyv8ztUyUuoNV6VKlWLPLViwgPz8fIYPH87Dhw9p27Ythw4domrVqqVuf8CAAezYsYMuXbqQmppKcHAwrq6u7N+/n1mzZjFq1Cju3btH7dq16dSpE7Vq1Sp12/PmzcPMzAx/f3+SkpIwNTWlTZs2qrm11tbWbN++nalTp/L111/TsWNHZs2axYQJE545xS84OJhJkybxwQcf8OTJEzp16sT+/fsLTSkslf//D4UQL51SSaUnmQWZe8GR30fWLuJo4GK1Y2ZWjZiy4zQAgWP7cj3qlNr59gNG0n/WkhLbvPzTTlLv/I62ri51mtrR3X0m9Vq+pSqzsE8bUm//V61ej0+/pPOoSQA8+D2Zbd7u3Iq9TJ2mrRg0bxVVLf63fl3IZy607etMi25Oz3fjovTKMW9ClIpkTmiaZE5okuTtH8Hd3Z2wsDB2796NsbExd+7cAcDExAQDAwMARowYQZ06dfD39wfAycmJgIAA7O3tVdP3vL29cXJyUnVOOTk54efnR7169WjevDkXL14kICCATz75pNhrUSqVpKWlqTq2KiqFsqJfoRBl4Ofnx9q1a/nvf//77MIvKD09HRMTE+7fv1/ibgpClJfc3FwiIyNp27YtOjov9jcFX19ftm/fzpEjR1THdHR0VBsidO7cGRsbG+bOnas6b2hoWGJHd1hYGDVr1qRBgwY8evSIZcuW8cMPP5CQkICZWcFwdSsrK0aPHs3YsWNV9YyNjTEyMgIKOrr19PSYO3cuX375JXl5eWzfvh2ArVu3snnzZvbs2fNC9y5KpzzzJkRpSOaEpknmhCZJ3v4Zipux83TwBhT8nm1lZaWa5ZObm4ufnx+bNm3i1q1bmJmZqTqhnq7J/PDhQ7y9vdm5cyd3797FwsICZ2dnZs+ejZ6eXpHP+aoz9/T7clpaWonfIeTdIF5rq1evpl27dlSvXp2TJ0+yePFi1eLuQoiS6ejoULt27WLPGxoalnj+71xcXNQeBwQEEBQUxOXLl+nWrZvquLGxcbHtxsbGEhAQQOPGjXF1dWXatGkApKam8uWXX3Ls2LFSX48QQgghhBCaVJoxP3/fEExHRwcfHx98fHyKrWNsbMzy5ctZvnz5C15hxSNrSonXWnx8PH379qVZs2bMmzePqVOn4uvrq9FrqOi7GYg3h5aWFg0aNCi3zMXHx2NhYUGDBg0YOnQoycnJauc3b95MjRo1aNGiBV5eXmRlZZW67SdPnhAYGIiJiQl2dnZq5xYsWED16tWxt7dn8eLF5Obmqs7Z2dlx5MgR8vPz+emnn2jVqhUA06dPx93dHUtLyxe4Y1EW5Z03IZ5FMic0TTInNEnyJjTtdcmcTN8T4v9ZWVnh6elZ6t0HVcMR10MVw5d7bUKUKxclBw4cICMjA1tbW27fvs2cOXO4desWMTExGBsbExgYSP369bGwsODy5ct88cUXtG/fnh07dpTY9N69exkyZAhZWVmYm5uza9cu2rVrpzofEBBAmzZtqFatGqdOncLLy4tRo0YREBAAwK1btxg/fjyXL1+mVatWrFu3jsTERKZOncqhQ4dwc3MjMjKS7t27s2LFimKHKwshhBBCCCFendJO35NOKfFcXF1dVbvg6erqUq9ePUaMGMHMmTOfe76qq6srqamp7Nq1qxyvtPSet1Pqz/U6VDXMfXYFIV5QHrrE6H1Ciyffok3O8zfkUvg/+6mpqdSvX5+AgIAid+A8duwY3bp1IyEhgYYNGxbbdGZmJrdv3yYlJYX169dz7Ngxzp49S82aNYss/+233zJ+/HgyMjKK3KAgOzubt956i9DQUDZv3kxaWhpr166lZ8+e9OvXj08//bQMNy7KIi8vj5iYGFq0aFFoB1chXgbJnNA0yZzQJMmb0LRXnbnSdkpV7HFcokLr2bMnt2/fJj4+XjVtbvHixc+u+Dd5eXklbmVZ0Sll+wyhIUoUPFLUeCmZMzU1xcbGhoSEhCLPd+jQAaDY808ZGRnRqFEj/vWvfxEUFISOjg5BQUHFlu/QoQO5ubncuHGjyPPz58+ne/fuvPXWW4SHhzNgwAB0dXX56KOPCs3HF+VLqVTy6NGjCr9ji3hzSOaEpknmhCZJ3v4Z/P39adeuHcbGxtSsWZN+/foRFxf3zHrLly/H1tYWAwMDLC0tmTx5Mo8fP1adz8vLw9vbG2trawwMDGjYsCHz5s0rMU+vS+akU0o8N319fWrXrk39+vWZMGEC7733Hnv27OHBgweMGDGCqlWrYmhoSK9evYiPj1fVCwkJwdTUlD179tCsWTP09fX55JNPCA0NZffu3SgUChQKBeHh4YSHh6NQKEhNTVXVj46ORqFQqH2JXb9+PZaWlhgaGtK/f38CAgJUOxUAJCYm0rdvX2rVqkXlypVp166d2q5jQvzTZWRkkJiYiLm5eZHno6OjAYo9X5z8/Hyys7OLPR8dHY2WllaRI6liY2MJCwtj3rx5QMGHcU5OwQixnJwc8vLyynQtQgghhBBCvEwRERG4u7tz5swZDh8+TE5ODt27dyczM7PYOmFhYcyYMQMfHx9iY2MJCgpi69atzJw5U1Vm4cKFrFmzhm+++YbY2FgWLlzIokWLWLlypSZu66WS3fdEuTEwMOD+/fu4uroSHx/Pnj17qFKlCl988QW9e/fmypUr6OrqApCVlcXChQvZsGED1atXx9zcnEePHpGenk5wcDCAas2ZZzl58iRubm4sXLiQDz/8kCNHjuDt7a1WJiMjg969e+Pn54e+vj4bN27EycmJuLg46tWrV6r7y87OVvtynZ6eXtqXRogKZ9q0aTg5OVG/fn1+//13fHx80NbWxtnZmcTERMLCwujduzfVq1fn8uXLTJ48mU6dOqkWHgdo0qQJ/v7+9O/fn8zMTPz8/Pjwww8xNzcnJSWFVatWcevWLQYOHAjA6dOnOXv2LF26dMHY2JjTp08zefJkhg0bRtWqVdWuT6lUMm7cOJYtW4aRkREAjo6OrF+/HhsbGzZu3Iizs7PmXjAhhBBCCCGe4eDBg2qPQ0JCqFmzJlFRUXTq1KnIOqdOncLR0VG1k7WVlRXOzs6cPXtWrUzfvn3p06ePqsz333/PuXPnXtKdaI50SokXplQqOXr0KIcOHaJXr17s2rWLkydP4uDgABTs4GVpacmuXbtUX05zcnJYvXq12q5cBgYGZGdnl2kLeoCVK1fSq1cv1dbxNjY2nDp1ir1796rK2NnZqT3XvHnz2LlzJ3v27MHDw6NUz+Pv78+cOXMKHV9hc5VKxsXPkRWi3CiVVMrJJFx3EiheYArfxRQO/5pIYOhgstIeYFS1OlatO+AatJ+gmwpS72SwbdcB/JcuI+dRFia1LGjepQ9dxkxhwcUUVTNxcXGEXb5JnFUKOdmP2XPmMqs2BJOZ+ieGJlWp29ye0Rv+zb+f1OLfF1O4dT2L3UHf4eXtQ27OE6pZ1KPN4HE0HjZBrV2As9tDSdU3JabOv4j5/3PVBnzKTzPdsG/XHhuHrjxyHFyonihHSiWVFLUJv/zgxfImRGlJ5oSmSeaEJkne3ngz7GsUOpaWlgYUDLgojoODA9999x3nzp2jffv2JCUlsX//foYPH65WJjAwkGvXrmFjY8OlS5c4ceKEarOgomhra9OkSZMKv4aZdEqJ57Z3714qV65MTk4O+fn5uLi48NFHH7F3717V+jMA1atXx9bWltjYWNUxPT09tREXLyIuLo7+/furHWvfvr1ap1RGRga+vr7s27eP27dvk5uby6NHj0hOTi7183h5eTFlyhTV4/T09ILt6eVDRWiKQsFjvcrl0pTzgvXFnjOtXYdxG/Y8sw3/C/dU/9bVr8SwpSEllq/T1I6JGw+WWOapDh+PpMPHI9WOVa5mxpi1P5aqvigH5Zg3IUpFMic0TTInNEny9o+Tn5+Pp6cnjo6OtGjRothyLi4upKSk8Pbbb6NUKsnNzcXNzU1t+t6MGTNIT09XdTLl5eXh5+fH0KFDi21XoVCoLWlTUcmaUuK5denShejoaOLj43n06BGhoaEoStlBY2BgUKqyWloFEf3r4mxP15Qpi2nTprFz507mz5/PL7/8QnR0NC1btuTJkyelbkNfX58qVaqo/QAo8mVdG6EZivw86qRclcwJjZC8CU2TzAlNk8wJTZK8/fO4u7sTExPDli1bSiwXHh7O/PnzWb16NRcuXGDHjh3s27dPta4qwLZt29i8eTNhYWFcuHCB0NBQlixZQmhoaLHt5ubmcv78eXJzK/ZO8TJSSjy3p7ts/VXTpk3Jzc3l7Nmzqul79+/fJy4ujmbNmpXYnp6eXqGFi83MzAC4ffu2as2ZpwsuP2Vra8v58+fVjv398cmTJ3F1dVWNqMrIyCh2ty8hKjLFa7xTpXj9SN6EpknmhKZJ5oQmSd7+OTw8PNi7dy/Hjx+nbt26JZb19vZm+PDhjBkzBoCWLVuSmZnJuHHjmDVrFlpaWkyfPp0ZM2YwZMgQVZnffvsNf39/Ro4cWWzbr8PGQDJSSpSrxo0b07dvX8aOHcuJEye4dOkSw4YNo06dOvTt27fEulZWVly+fJm4uDhSUlLIycmhUaNGWFpa4uvrS3x8PPv27WPp0qVq9T799FP2799PQEAA8fHxrFu3jgMHDqiNxGrcuDE7duwgOjqaS5cu4eLiQr58KAghhBBCCCGEKCdKpRIPDw927tzJsWPHsLa2fmadrKws1Qyhp56uA/V0xlBxZd6E77QyUkqUu+DgYCZNmsQHH3zAkydP6NSpE/v371ftvFecsWPHEh4eTtu2bcnIyODnn3+mc+fOfP/990yYMIFWrVrRrl07vvrqK9WC6VCwI9fatWuZM2cOX375JT169GDy5Ml88803qjIBAQF88sknODg4UKNGDb744gvZPU/8ox1Zu4ijgYvVjplZNWLKjtMABI7ty/Uo9d0v2w8YSf9ZS4pt8wcfDy78e6vascYdu/DJqm2qxz9vCODqiSPcvhaDto4uPscT1cpnpT3gh9keJEWeoHq9Bnzs8zUWTf63/txu/8+pVteKd4ZPLNsNCyGEEEII8ZK5u7sTFhbG7t27MTY25s6dOwCYmJhgYGAAwIgRI6hTpw7+/v4AODk5ERAQgL29PR06dCAhIQFvb2+cnJxUnVNOTk74+flRr149mjdvzsWLF1XfcV93CuVfF+sR4g0xduxYrl69yi+//PLSniM9PR0TExNSU1MxMTF5ac8jxFNKpZJHjx6Vek22kvj6+rJ9+3aOHDmiOqajo0ONGgW7hnTu3BkbGxvmzp2rOm9oaKhaS60orq6u/PHHHwQHB6uO6evrq6beAvj4+GBqasrNmzcJCgoiNTVVrY2pU6cSFRVFYGAga9as4ZdffiEyMhKAM2fO4OHhwdmzZyv8LiJvgvLMmxClIZkTmiaZE5okeftnKO7/2+DgYFxdXYGC37OtrKwICQkBCtZ+8vPzY9OmTdy6dQszMzNVJ9TThcofPnyIt7c3O3fu5O7du1hYWODs7Mzs2bPR09Mr8jlfdeaefl9OS0sr8TuEjJQSb4QlS5bw/vvvY2RkxIEDBwgNDWX16tWv+rKEKHfFfeg8Dx0dHWrXrl3seUNDwxLPF0VfX7/EOnPmzAFQfQj/XWxsLEOGDMHGxoZx48YRGBgIFGxw4ObmxoYNG6RDSoPKM29ClIZkTmiaZE5okuTtzVeaMT/h4eFqj3V0dPDx8cHHx6fYOsbGxixfvpzly5eX6Xpeh8zJmlLijXDu3Dnef/99WrZsydq1a1mxYoVqobiX7XVYPE68GfLy8oiMjCy3zMXHx2NhYUGDBg0YOnQoycnJauc3b95MjRo1aNGiBV5eXmRlZT2zzfDwcGrWrImtrS0TJkzg/v37ZbomOzs7jh07Rm5uLocOHaJVq4Kpe4sWLaJz5860bdu2TO2J51feeRPiWSRzQtMkc0KTJG9C016XzMlIKfFGWLRoEdbW1ly8eJHWrVtr9sl31AbDHM0+p/iH0gP96ZD0LvDk+ZtxUdKhQwdCQkKwtbXl9u3bzJkzh3feeYeYmBiMjY1xcXGhfv36WFhYcPnyZb744gvi4uLYsWNHsc327NmTjz76CGtraxITE5k5cya9evXi9OnTpR7dNGPGDCZMmEDDhg2xsrIiKCiI+Ph4QkNDOX36NG5ubvz000+0bduW9evXy9RZIYQQQgghXmPSKSXKxb1795g9ezb79u3jjz/+oGrVqtjZ2TF79mwcHR1f9eUJIf6mV69eqn+3atWKDh06UL9+fbZt28bo0aMZN26c6nzLli0xNzenW7duJCYm0rBhwyLbfLpF7dM6rVq1omHDhoSHh9OtW7dSXZeJiQlhYWFqx7p27crixYvZvHkzSUlJxMXFMXbsWObOnVtoN04hhBBCCCHE60Om74lyMWDAAC5evEhoaCjXrl1jz549dO7cucxTd4QQr4apqSk2NjYkJCQUeb5Dhw4AxZ4vSoMGDahRo0aZ6vxdcHAwpqam9O3bl/DwcPr164euri4DBw4sNB9fCCGEEEKIisTf35927dphbGxMzZo16devH3Fxcc+st3z5cmxtbTEwMMDS0pLJkyfz+PFj1fmHDx/i6elJ/fr1MTAwwMHBgfPnz7/MW3lppFNKvLDU1FR++eUXFi5cSJcuXahfvz7t27fHy8uLDz/8kGnTpvHBBx+oyi9fvhyFQsHBgwdVxxo1asSGDRtUjzds2EDTpk2pVKkSTZo0KbRo+blz57C3t6dSpUq0bduWixcvFrqumJgYevXqReXKlalVqxbDhw8nJSVFdb5z58589tlnfP7551SrVo3atWvj6+tb5vvXRqbuCc3Q5gltsxej/SJT94qRkZFBYmIi5ubmRZ6Pjo4GKPZ8UW7evMn9+/fLVOev7t27x9y5c1m5ciVQMC8+J6fg/ZaTk1Ph58e/7rS1tWnbtq0sLC80RjInNE0yJzRJ8vbPFBERgbu7O2fOnOHw4cPk5OTQvXt3MjMzi60TFhbGjBkz8PHxITY2lqCgILZu3crMmTNVZcaMGcPhw4fZtGkTv/76K927d+e9997j1q1bqjKvS+akU0q8sMqVK1O5cmV27dpFdnZ2ofPvvvsuJ06cUH2BjIiIoEaNGqpRDrdu3SIxMZHOnTsDBYsrz549Gz8/P2JjY5k/fz7e3t6EhoYCBV+eP/jgA5o1a0ZUVBS+vr5MmzZN7TlTU1Pp2rUr9vb2REZGcvDgQf744w8GDRqkVi40NBQjIyPOnj3LokWLmDt3LocPHy7yPrOzs0lPT1f7EUKzFDxRVAFefEvXadOmERERwY0bNzh16hT9+/dHW1sbZ2dnEhMTmTdvHlFRUdy4cYM9e/YwYsQIOnXqpFp4HKBJkybs3LkTKHhfTp8+nTNnznDjxg2OHj1K3759adSoET169FDVSU5OJjo6muTkZPLy8oiOjiY6OpqMjIxC1+jp6cnUqVOpU6cOAI6OjmzatInY2FgCAwNlarAGPHlS/h2gQpREMic0TTInNEny9s9z8OBBXF1dad68OXZ2doSEhJCcnExUVFSxdU6dOoWjoyMuLi5YWVnRvXt3nJ2dOXfuHACPHj3ixx9/ZNGiRXTq1IlGjRrh6+tLo0aNWLNmjVpbr0PmZE0p8cJ0dHQICQlh7NixrF27ljZt2vDuu+8yZMgQWrVqxTvvvMPDhw+5ePEib731FsePH2f69Ons2rULKNitq06dOjRq1AgAHx8fli5dykcffQSAtbU1V65cYd26dYwcOZKwsDDy8/MJCgqiUqVKNG/enJs3bzJhwgTVNX3zzTfY29szf/581bFvv/0WS0tLrl27ho2NDVCwls7TrTcbN27MN998w9GjR3n//fcL3ae/v79qO/u/Wt44Hv0qpuXyWgpREkV+HnVS4rhVwxal1gv8xeNiCod/TSQwdDBZaQ8wqlodq9YdcA3aT9BNBal3Mti26wD+S5eR8ygLk1oWNO/Shy5jprDg4v9GG8bFxRF2+SZxVinkPH7E7hORrAkK4fHDNIzNatP4X50ZOHEGy648BB4C8IPP51z491ZVG/b29gCMDdxFg7b/62S6duoYxy9fpfmUZarnfPL2EJ4cOYl9u/bUbd6GNlM91K5HlK9yy5sQpSSZE5ommROaJHn755lhX6PQsbS0NACqVatWbD0HBwe+++47zp07R/v27UlKSmL//v0MHz4cgNzcXPLy8qhUqZJaPQMDA06cOKF6nJeXx+XLl2nbti06OhW360ehVCqVr/oixJvh8ePH/PLLL5w5c4YDBw5w7tw5NmzYgKurK23atMHFxYXu3bvTo0cP/vOf/2Bubs79+/eZMmUKmZmZbN68mczMTCpXroyBgQFaWv8byJebm4uJiQl//PEHkydP5tKlSxw7dkx1/tKlS7Ru3Vq1+97AgQPZvXs3enp6ateYmZnJ/v376dWrF507d6Z58+asWrVKdb5v375Ur16db7/9ttD9ZWdnq40ES09Px9LSEt9w6ZQSmiG/zAhNkrwJTZPMCU2TzAlNkrz98/y9Uyo/P58PP/yQ1NRUtc6joqxYsYJp06ahVCrJzc3Fzc1NbRSUg4MDenp6hIWFUatWLb7//ntGjhxJo0aNVGtW5ebmEhkZ+co6pdLT0zExMSEtLY0qVaoUW67idpeJ106lSpV4//33ef/99/H29mbMmDH4+Pjg6upK586dCQ8PR19fn3fffZdq1arRtGlTTpw4QUREBFOnTgVQTeFZv369amHlp8oyFzYjIwMnJycWLlxY6Nxf17fR1dVVO6dQKMjPzy+yTX19ffT19Ut9DUIIIYQQQgghBIC7uzsxMTHP7JAKDw9n/vz5rF69mg4dOpCQkMCkSZOYN28e3t7eAGzatIlPPvmEOnXqoK2tTZs2bXB2di5xWmBFJZ1S4qVp1qyZaoreu+++y7fffouOjg49e/YEChYa//7777l27ZpqPalatWphYWFBUlISQ4cOLbLdpk2bsmnTJh4/fqwasnjmzBm1Mm3atOHHH3/EysqqQg9VFKKslFqyFKDQHMmb0DTJnNA0yZzQJMnbP5eHhwd79+7l+PHj1K1bt8Sy3t7eDB8+nDFjxgDQsmVLMjMzGTduHLNmzUJLS4uGDRsSERFBZmYm6enpmJubM3jwYBo0aKDWVkVf5BxkoXNRDu7fv0/Xrl357rvvuHz5MtevX+eHH35g0aJF9O3bF4BOnTrx8OFD9u7dq+qA6ty5M5s3b8bc3Fy1xhPAnDlz8Pf3Z8WKFVy7do1ff/2V4OBgAgICAHBxcUGhUDB27FiuXLnC/v37WbJkido1ubu78+eff+Ls7Mz58+dJTEzk0KFDjBo1qtx37JLht0JTlFra3KrRRDInNELyJjRNMic0TTInNEny9s+kVCrx8PBg586dHDt2DGtr62fWycrKUlvKBv7XufT31ZeMjIwwNzfnwYMHHDp0SPX9GwrWfm7Xrl2FH6RRsa9OvBYqV65Mhw4dWLZsGYmJieTk5GBpacnYsWNV21ZWrVqVli1b8scff9CkSROgoKMqPz+fd999V629MWPGYGhoyOLFi5k+fTpGRka0bNkST09P1fP9+9//xs3NDXt7e5o1a8bChQsZMGCAqg0LCwtOnjzJF198Qffu3cnOzqZ+/fr07Nmz0Bv8hcmybEJTlEoq5WTyWNcIFC++A99TR9Yu4mjgYrVjZlaNmLLjtOrxb5fO89Oq+fw35gJa2lqY27Tgk1Xb0K1kUGSbZ34I5uwPITy4nQxAzQZN6DZuKraO76nK7PxqKgnnjpN+7w76BkbUs2tHz89mU9O6MQBZaQ/4YbYHSZEnqF6vAR/7fI1Fk//t/rfb/3Oq1bXineETy+21EH/xkvImRLEkc0LTJHNCkyRv/0ju7u6EhYWxe/dujI2NuXPnDgAmJiYYGBT8Hj1ixAjq1KmDv78/AE5OTgQEBGBvb6+avuft7Y2Tk5Oqc+rQoUMolUpsbW1JSEhg+vTpNGnShFGjRqmeW6lUkpaWhomJCYoKnDlZ6FyI5/R04bb79++XuHuCEOXlZS1W6Ovry/bt2zly5IjqmI6ODjVqFCzOePr0aXr27ImXlxdOTk7o6Ohw6dIl+vbtW+w6a//+97/R1tamcePGKJVKQkNDWbx4MRcvXqR58+YABAYG0qRJE+rVq8eff/6Jr68v0dHRXL9+HW1tbaZOnUpUVBSBgYGsWbOGX375hcjISKBgyq6Hhwdnz559LYYlv45e9eKY4p9HMic0TTInNEny9s9UXGdQcHAwrq6uQMEMIisrK0JCQoCCrPj5+bFp0yZu3bqFmZkZTk5O+Pn5YWpqCsC2bdvw8vLi5s2bVKtWjQEDBuDn54eJiYnqOV515mShcyGEEKWmo6ND7dq1izw3efJkPvvsM2bMmKE6ZmtrW2J7Tk5Oao/9/PxYs2YNZ86cUXVKjRs3TnXeysqKr776Cjs7O27cuEHDhg2JjY1lyJAh2NjYMG7cOAIDAwHIycnBzc2NDRs2SIeUEEIIIYSosEozBig8PFztsY6ODj4+Pvj4+BRbZ9CgQQwaNOhFL69CkDWlhBBCEB8fj4WFBQ0aNGDo0KEkJxdMu7t79y5nz56lZs2aODg4UKtWLd59991n7hryV3l5eWzZsoXMzEw6duxYZJnMzEyCg4OxtrbG0tISADs7O44dO0Zubi6HDh2iVauCqXuLFi2ic+fOtG3b9gXvWgghhBBCCPEqyUgpUSohISF4enqSmpr6WrX9Vzdu3MDa2pqLFy/SunXrcmtXsaMWGOaWW3tCFEeBLgZ6n6BI6gTklE+jLko6dOhASEgItra23L59mzlz5vDOO+8QExNDUlISUDDFb8mSJbRu3ZqNGzfSrVs3YmJiaNy4cbFN//rrr3Ts2JHHjx9TuXJldu7cSbNmzdTKrF69ms8//5zMzExsbW05fPgwenp6AMyYMYMJEybQsGFDrKysCAoKIj4+ntDQUE6fPo2bmxs//fQTbdu2Zf369WrDlcWLUygUGBgYVOg1CMSbRTInNE0yJzRJ8iY07XXJnIyUeoO4urqiUChYsGCB2vFdu3aVKYhWVlYsX768nK/uzaWNdEgJzdAmB7sn69Aurw6p/9erVy8GDhxIq1at6NGjB/v37yc1NZVt27aRn58PwPjx4xk1ahT29vYsW7YMW1tbvv322xLbtbW1JTo6mrNnzzJhwgRGjhzJlStX1MoMHTqUixcvEhERgY2NDYMGDeLx48dAwQKQYWFh/Pbbb0RERNCsWTPGjx/P4sWL2bx5M0lJScTFxWFoaMjcuXPL9TURBbu82NnZyRRJoTGSOaFpkjmhSZI3oWmvS+akU+oNU6lSJRYuXMiDBw9e9aWUSk5O+X65fhXyqdg9z+LNkY8Wd7Vbk/+S/9NtamqKjY0NCQkJmJubAxQa4dS0aVPVFL/i6Onp0ahRI9566y38/f2xs7Pj66+/VitjYmJC48aN6dSpE9u3b+fq1avs3LmzyPaCg4MxNTWlb9++hIeH069fP3R1dRk4cGChufjixeXn53P37l1Vx6QQL5tkTmiaZE5okuRNPOXv70+7du0wNjamZs2a9OvXj7i4uBLr5OTkMHfuXBo2bEilSpWws7Pj4MGDamWOHz+Ok5MTFhYWKBQKduzY8VpkTjql3jDvvfcetWvXVm0nWZQTJ07wzjvvYGBggKWlJZ999hmZmZlAwcr/v/32G5MnT0ahUBQaYXXo0CGaNm1K5cqV6dmzJ7dv31Y7v2HDBpo2bUqlSpVo0qQJq1evVp27ceMGCoWCrVu38u6771KpUiU2b95c6PoSExPp27cvtWrVonLlyrRr105tVzAoGM01f/58PvnkE4yNjalXr55qEeSnzp07h729PZUqVaJt27ZcvHhR7fyDBw8YOnQoZmZmGBgY0LhxY4KDg0t4dYuWL7NghYbko0OSTp+XnrmMjAwSExMxNzfHysoKCwuLQh+U165do379+mVqNz8/n+zs7GLPK5VKlEplkWXu3bvH3LlzWblyJVCwTtXTTu2cnBzy8vLKdC3i2fLz80lKSqrwv8iIN4dkTmiaZE5okuRNPBUREYG7uztnzpzh8OHD5OTk0L17d9V38qJ8+eWXrFu3jpUrV3LlyhXc3Nzo37+/2nfczMxM7OzsWLVqFVDwu/XrkDnplHrDaGtrM3/+fFauXMnNmzcLnU9MTKRnz54MGDCAy5cvs3XrVk6cOIGHhwcAO3bsoG7dusydO5fbt2+rdTplZWWxZMkSNm3axPHjx0lOTmbatGmq85s3b2b27Nn4+fkRGxvL/Pnz8fb2JjQ0VO0aZsyYwaRJk4iNjaVHjx6FrjEjI4PevXtz9OhRLl68SM+ePXFycio0KmPp0qWqzqaJEycyYcIE1RfnjIwMPvjgA5o1a0ZUVBS+vr5q1wrg7e3NlStXOHDgALGxsaxZs4YaNWoU+9pmZ2eTnp6u9iPEm2DatGlERERw48YNTp06Rf/+/dHW1sbZ2RmFQsH06dNZsWIF27dvJyEhAW9vb65evcro0aNVbXTr1o1vvvlG9djLy4vjx49z48YNfv31V7y8vAgPD2fo0KEAJCUl4e/vT1RUFMnJyZw6dYqBAwdiYGBA7969C12jp6cnU6dOpU6dOgA4OjqyadMmYmNjCQwMxNHR8SW/SkIIIYQQQry4gwcP4urqSvPmzbGzsyMkJITk5GSioqKKrbNp0yZmzpxJ7969adCgARMmTKB3794sXbpUVaZXr1589dVX9O/fXxO3UW5kiMcbqH///rRu3RofHx+CgoLUzvn7+zN06FA8PT0BaNy4MStWrODdd99lzZo1VKtWDW1tbYyNjQttD5+Tk8PatWtp2LAhAB4eHmrruPj4+LB06VI++ugjAKytrbly5Qrr1q1j5MiRqnKenp6qMkWxs7PDzs5O9XjevHns3LmTPXv2qDrPAHr37s3EiRMB+OKLL1i2bBk///wztra2hIWFkZ+fT1BQEJUqVaJ58+bcvHmTCRMmqOonJydjb2+v2sHLysqqxNfV39+fOXPmFDq+svEV9KuYllhXiPKgyM+jTkocEVafotQqp7nhF1M4/GsigaGDyUp7gFHV6li17oBr0H6CbirgZgq8O4yOI+8zxmMSWWmpmNs0Z+SqH/gh3QQupgBwITYeRaNkMv7/8ZHYZNaGDuNhyh9UqlyF2o2bMWrVNqJq2BN1MYX0e1n8uO8o85cs41F6KpWrm2HVpiOuG/bx7S0tuJWiusRrp45x/PJVmk9ZxoL/b//J20N4cuQk9u3aU7d5G9pM9VCdE+VDkZ9HnbQnRFy6X355E6IEkjmhaZI5oUmSNwEww77wIIi0tDQAqlWrVmy97OxsKlWqpHbMwMCgTDtiV1TSKfWGWrhwIV27di00OujSpUtcvnxZbdqcUqkkPz+f69ev07Rp02LbNDQ0VHVIAZibm3P37l2gYKhgYmIio0ePZuzYsaoyubm5hXbEetY27hkZGfj6+rJv3z5u375Nbm4ujx49KjRS6un28FCws0Dt2rVV1xMbG0urVq3U3rh/34p+woQJDBgwgAsXLtC9e3f69euHg4NDsdfl5eXFlClTVI/T09MLtq6v4LsZiDeIQsFjPaNyz5zzgvXPLNN51CQ6j5pU7Pkv9l1QezzA5+tiShaoYlabUSu3lOr6bBy6YuPQVe2YnoEhLguDiqkhysVLypsQxZLMCU2TzAlNkryJIuTn5+Pp6YmjoyMtWrQotlyPHj0ICAigU6dONGzYkKNHj7Jjx44Sl7BQKBSYmJhU+N33pFPqDdWpUyd69OiBl5cXrq6uquMZGRmMHz+ezz77rFCdevXqldimrq6u2mOFQoFSqVS1C7B+/Xo6dOigVu7vq/0bGRmV+DzTpk3j8OHDLFmyhEaNGmFgYMDHH3/MkydPnnk9ZZkv26tXL3777Tf279/P4cOH6datG+7u7ixZsqTI8vr6+ujr6xc6rlTILFihGUqFFimmZVvHSYjnJXkTmiaZE5ommROaJHkTRXF3dycmJuaZI56+/vprxo4dS5MmTVAoFDRs2JBRo0aVuBu2lpZWiYNOKgrplHqDLViwgNatW2Nra6s61qZNG65cuUKjRo2Kraenp1fmRYNr1aqFhYUFSUlJqjVjntfJkydxdXVVzYXNyMjgxo0bZWqjadOmbNq0icePH6tGS505c6ZQOTMzM0aOHMnIkSN55513mD59erGdUsVSVuyF48QbRJlPlaz7pBtWB+kMFS+b5E1ommROaJpkTmiS5E38jYeHB3v37uX48ePUrVu3xLJmZmbs2rWLx48fc//+fSwsLJgxYwYNGjQotk5+fj43b97EwsICLa2Km7mKe2XihbVs2ZKhQ4eyYsUK1bEvvviCU6dO4eHhQXR0NPHx8ezevVttrSYrKyuOHz/OrVu3SEkp/Rotc+bMwd/fnxUrVnDt2jV+/fVXgoODCQgIKNN1N27cmB07dhAdHc2lS5dwcXEp844BLi4uKBQKxo4dy5UrV9i/f3+hzqbZs2eze/duEhIS+M9//sPevXufqydZ8f+jxYR42RRKJVUy70nmhEZI3oSmSeaEpknmhCZJ3sRTSqUSDw8Pdu7cybFjx7C2ti513UqVKlGnTh1yc3P58ccf6du3b4nPc/PmzQq/+56MlHrDzZ07l61bt6oet2rVioiICGbNmsU777yDUqmkYcOGDB48WK3O+PHjadiwIdnZ2aopes8yZswYDA0NWbx4MdOnT8fIyIiWLVuqFlUvrYCAAD755BMcHByoUaMGX3zxRZl3uqtcuTL//ve/cXNzw97enmbNmrFw4UIGDBigKqOnp4eXlxc3btzAwMCAd955hy1bSrfGjRBvoiNrF3E0cLHaMTOrRkzZcVr1+LdL5/lp1Xz+G3MBLW0tzG1a8MmqbehWMiiyzezMDH5a7c+Vn/eT8SAFC9uWfDDdD8vm9qoyD+/f5eCKucSfDudxRjpW9v/iwy/8qVHvf2vY7V3qzYV/b0HPwJAen3pj3/tj1blfD+/mwt5tjPx6M0IIIYQQQlRk7u7uhIWFsXv3boyNjblz5w4AJiYmGBgU/E49YsQI6tSpg7+/PwBnz57l1q1btG7dmlu3buHr60t+fj6ff/65qt2MjAwSEhJUj69fv05mZiY1a9YscUTVq6ZQlrbHQQihJj09HRMTE+7fv1/iTglClJfc3FwiIyNp27YtOjrl/zcFX19ftm/fzpEjR1THdHR0qFGjYJeQ06dP07NnT7y8vHByckJHR4dLly7Rt2/fItdbAxg8eDAxMTGsWbMGCwsLvvvuO5YtW8aVK1eoU6cOSqUSBwcHdHV1Wbp0KVWqVCEgIICDBw9y5coVjIyM+Pe//83YsWPZu3cv8fHxfPLJJ/z3v/+lRo0apKWl0a5dO44cOfLMdfFE2bzsvAnxd5I5oWmSOaFJkjfxVHELjwcHB6vWg+7cuTNWVlaEhIQAEBERwYQJE0hKSqJy5cr07t2bBQsWYGFhoaofHh5Oly5dCrU7fPhwNm7cWO738SxPvy+npaVRpUqVYstJp5QQz+npm+zBgweYmpq+6ssR/wBPd8m0trZ+KfPCfX192bVrF9HR0UWe/9e//sX777/PvHnzStXeo0ePMDY2Zvfu3fTp00d1/K233qJXr1589dVXXLt2DVtbW2JiYmjevDlQcJ+1a9dm/vz5jBkzhkWLFnHhwgXVSMZatWqxd+9e2rVrx/jx42nSpAmTJ09+sZsXhbzsvAnxd5I5oWmSOaFJkjehaa86c6XtlJJ3gxAvSD5UhKZoaWnRsGHDl5q5+Ph4LCwsaNCgAUOHDiU5ORmAu3fvcvbsWWrWrImDgwO1atXi3XffLXGnkNzcXPLy8lSbDTxlYGCgqpednQ2gVkZLSwt9fX1VGTs7OyIjI3nw4AFRUVE8evSIRo0aceLECS5cuFDkbqLixWkib0L8lWROaJpkTmiS5E1o2uuSORk3KMQLyt9WDQzLtluhEM8jHx2u6/TAOvcQWuSWb+MuSjp06EBISAi2trbcvn2bOXPm8M477xATE0NSUhJQMJpqyZIltG7dmo0bN9KtWzdiYmJo3LhxoSaNjY3p2LEj8+bNo2nTptSqVYvvv/+e06dPq3YAbdKkCfXq1cPLy4t169ZhZGTEsmXLuHnzJrdv3wagR48eDBs2jHbt2mFgYEBoaChGRkZMmDCBkJAQ1qxZw8qVK6lRowaBgYGqEVfixbzqv66Jfx7JnNA0yZzQJMmb0LTXJXMV98rEG8XV1RWFQlHo568Lsb2u8uVtJDQkHy3uabd+aZnr1asXAwcOpFWrVvTo0YP9+/eTmprKtm3bVLt2jB8/nlGjRmFvb8+yZcuwtbXl22+/LbbNTZs2oVQqqVOnDvr6+qxYsQJnZ2fVB6Ouri47duzg2rVrVKtWDUNDQ37++Wd69eql9uHp6+tLQkICv/76K/3798ff35/33nsPXV1dvvrqK06cOMGYMWMYMWLES3lt/ony8/O5d+9ehd+xRbw5JHNC0yRzQpMkb0LTXpfMybdpoTE9e/bk9u3baj9/3/7yyZMnr+jqhBB/Z2pqio2NDQkJCZibmwPQrFkztTJNmzZVTfErSsOGDYmIiCAjI4P//ve/nDt3jpycHLUdQN566y2io6NJTU3l9u3bHDx4kPv37xe7S8jVq1f57rvvmDdvHuHh4XTq1AkzMzMGDRrEhQsXePjwYTncvRBCCCGEEC+Xv78/7dq1w9jYmJo1a9KvXz/i4uJKrJOTk8PcuXNp2LAhlSpVws7OjoMHDxZq91//+hfdunXDwsKiVO2+KtIpJTRGX1+f2rVrq/1069YNDw8PPD09qVGjBj169AAgICCAli1bYmRkhKWlJRMnTiQjI0PVVkhICKamphw6dIimTZtSuXJlVafXX3377bc0b94cfX19zM3N8fDwUJ1LTU1lzJgxmJmZUaVKFbp27cqlS5c082II8RrIyMggMTERc3NzrKyssLCwKPRhdu3aNerXr//MtoyMjDA3N+fBgwccOnSIvn37FipjYmKCmZkZ8fHxREZGFllGqVQyfvx4AgICqFy5Mnl5eeTk5ACo/jcvT6bTCiGEEEKIii8iIgJ3d3fOnDnD4cOHycnJoXv37mRmZhZb58svv2TdunWsXLmSK1eu4ObmRv/+/bl48aJauxMmTGD9+vUcOHCgVO2+KrKmlHjlQkNDmTBhAidPnlQd09LSYsWKFVhbW5OUlMTEiRP5/PPPWb16tapMVlYWS5YsYdOmTWhpaTFs2DCmTZvG5s2bAVizZg1TpkxhwYIF9OrVi7S0NLXnGDhwIAYGBhw4cAATExPWrVtHt27dVNOI/i47O1u1KDMU7CYAoIV8ARaaoUUedXN/eWmZmzZtGk5OTtSvX5/ff/8dHx8ftLW1cXZ2RqFQMH36dHx8fLCzs6N169aEhoZy9epVtm/frmqjW7du9O/fX9UBfOjQIZRKJba2tiQkJDB9+nSaNGnCqFGjVHV++OEHzMzMqFevHr/++iuTJk2iX79+dO/evdA1btiwATMzM5ycnABwdHTE19eXM2fOcODAAZo1aya7YZYTLS0t6tatW6HXIBBvFsmc0DTJnNAkyZsoyt9HOIWEhFCzZk2ioqLo1KlTkXU2bdrErFmz6N27NwATJkzgyJEjLF26lO+++07Vbn5+Pr///jsWFhalavdVkU4poTF79+6lcuXKqse9evUCoHHjxixatEitrKenp+rfVlZWfPXVV7i5ual1SuXk5LB27VoaNmwIgIeHB3PnzlWd/+qrr5g6dSqTJk1SHWvXrh0AJ06c4Ny5c9y9exd9fX0AlixZwq5du9i+fTvjxo0rdP3+/v7MmTOn0PHltglUqmxc6tdBiArpYgqHf00kMHQwWWkPMKpaHavWHXAN2k/QTQXcTIF3h9Fx5H3GeEwiKy0Vc5vmjFz1Az+km8DFFAAuxMajaJRMxv8/vhz9Xw5940faH79jaGJK864f0MN9Fktj0lRPffJ8PL9s9CTj/j2Ma9TC/oNB2I+dyoL/b+Oph/fvstpnHhNC9v/vnG4D2rtMoGvP3lSuWoOBc78pVE+8iEpw789XfRHiH0UyJzRNMic0SfIm/meGfY1Cx9LSCn5HLmqQxFPZ2dkl7m791NOO0NK2+6oolEql8lVfhHjzubq6cuvWLdasWaM6ZmRkhLOzM40bN2b9+vVq5Y8cOYK/vz9Xr14lPT2d3NxcHj9+TGZmJoaGhoSEhODu7q42/HDnzp0MGDCA/Px87t69S61atTh27BhdunQpdD2rVq3is88+w8DAQO34o0ePmDZtGgsXLixUp6iRUpaWlvhGJKBvbPLcr40QpaVQ5lM97b/cN7FEqZC/somXS/ImNE0yJzRNMic0SfIm/u7vnVL5+fl8+OGHpKamFupg+isXFxcuXbrErl27aNiwIUePHqVv377k5eWpfV/Ny8vj2rVrNGrUiP79+z+z3fKWnp6OiYkJaWlpVKlSpdhyMlJKaIyRkZFqG/i/H/+rGzdu8MEHHzBhwgT8/PyoVq0aJ06cYPTo0Tx58gRDQ0OgYNeuv1IoFDztY/17Z9PfZWRkYG5uTnh4eKFzxU390dfXV42qUiP9ukJTlEoqPcksyJziVV+MeONJ3oSmSeaEpknmhCZJ3sQzuLu7ExMT88yOo6+//pqxY8fSpEkTFAoFDRs2ZNSoUYV2xFYqlaSlpeHh4VGqdl8V6ZQSFU5UVBT5+fksXbpUNed627ZtZWrD2NgYKysrjh49WuRIqTZt2nDnzh10dHSwsrIqj8sWQgghhBBCCCHKzMPDg71793L8+HHVlLvimJmZsWvXLh7/X3v3HlZT2vcB/LsrnWsnlQ6ilKJMETHl1BCSF3kNg8hpmDwak5ke8Roz4fLEDA8m8w5GioZxTs5CKiqHUs485DRMRIPsDKq93j9c1mvroOOq+H6ua1+Xvda91vrtvb972W73utfz58jLy4OlpSVmzJhR6p2rFy1ahBMnTlRov3WF4wap3rG3t0dhYSEiIiJw/fp1xMTEYMWKFZXeT1hYGBYvXoyffvoJV69exenTpxEREQEA8Pb2hoeHB/z8/BAfH4+bN28iNTUVs2bNQnp6ek2/JCIiIiIiIiIVgiAgKCgIsbGxSEhIgK2tbYW31dbWhpWVFYqKirBt2zaVO1cLgoCpU6ciKSkJ8fHxldqv1DhSiuodV1dX/Pvf/8bChQsxc+ZMdO/eHeHh4QgICKjUfsaMGYPnz59jyZIlCAkJgYmJCT799FMAry7127t3L2bNmoVx48bhwYMHMDc3R/fu3dG0adNKHYfXhJNUBJkaHhlYSJ65Qyt+wOFVP6osM7Wxx9fb0wAAeX/cwN6lYbiVeQJFhS/g4NkTA6aHw6CJWbn7TdsUieR1P0ORlwtzB2cMnB4O67ZuAIBnTx7h0IqFuHo8EY/v3YVe4yZw8uqHPpNnQtvAUGyz5bsgXE8/hibNW+LT75fBsrWLuP+48OkwbmaDbqP/UZNvxwejrvJGHy5mjqTGzJGUmDcqzZQpU7BhwwbExcXBwMAA9+7dAwDI5XJxSpqAgABYWVkhPDwcAHDixAncvXsX7dq1w927dxEWFgalUonp06eX2G90dDTkcnmp+60vONE5URVVdOI2ooYuLCwMW7duxaFDh8RlGhoaMDExQUFBAVxcXODq6irenXL27Nn4888/cfz48TJve7xp0yYEBARgxYoV6Ny5M5YuXYotW7bgypUrMDMzw/nz5/H9999j7NixcHJywq1btxAYGAgXFxds3boVAPDNN98gIyMDq1atwi+//IKjR4+KIx2PHz+OoKAgnDhxAurq6rX8DhERERERVZ5MVvoEY1FRURg7diwAwMvLCzY2NoiOjgYAJCUlYfLkybh+/Tr09fXh6+uLBQsWwNLSslL7rW0V/fcyO6WIquj1l+yvv/5C48aN67oc+gAUFxfj/PnzaNu2raQdLWFhYdixYweysrJKrIuPj0e/fv3w6NEj8S+bJ0+eoHHjxoiPj4e3t3ep++zcuTPc3d2xfPlyAK/uNmJtbY0vv/wSM2bMKHWbLVu2YNSoUSgoKICGhgZ8fX0xcOBABAYG4tKlS+jYsSMKCgpQWFgId3d3rF69Gh07dqyZN+EDVFd5ow8XM0dSY+ZISswbSa2uM1fRTimOHSSqJvbrklQEQcDff/9dJ5m7evUqLC0t0bJlS/j7++P27dsAgBcvXkAmk6ncmVJbWxtqampl3uHj5cuXyMjIUOmwUlNTg7e3N9LS0sqs4fVfaBoar648d3V1RUJCAoqKinDgwAG4uLy6dO+HH36Al5cXO6SqqS7zRh8mZo6kxsyRlJg3klpDyRznlKIqkclkiI2NhZ+fX5ltxo4di8ePH2PHjh2S1VUWLy8vtGvXDkuXLq35nW83B3QLa36/RCVoAlr/BK73APBSmkOOFNC5c2dER0fD0dEROTk5mDNnDrp164bz58/j448/hp6eHkJDQ/Gvf/0LgiBgxowZKC4uRk5OTqm7fPjwIYqLi0vM39a0aVNcvny5zG3mzZuHSZMmictmzJiByZMnw87ODjY2NoiMjMTVq1exdu1apKWlITAwEPHx8ejYsSN+/fVXyOXymntfiIiIiIio2jhSiso0duzYMjudcnJy0K9fPwDAzZs3IZPJSr20p77Yvn075s2bV9dlEDVI/fr1w9ChQ+Hi4oK+ffti7969ePz4MTZv3gxTU1Ns2bIFu3btgr6+PuRyOR4/fgw3N7cy55OqrPz8fPTv3x9OTk4ICwsTl8vlcmzYsAG3bt1CUlISnJyc8MUXX+DHH3/E+vXrcf36dVy5cgW6urqYO3dujdRCREREREQ1h51SVCXm5uYql+vUd8bGxjAwMKiVfaujqFb2S/Q2dRShdeHvdZ45IyMjODg44Nq1awCAPn36IDs7G7m5uXj48CFiYmJw9+5dtGzZstTtTUxMoK6ujvv376ssv3//PszNzVWWPX36FD4+PjAwMEBsbCwaNWpUZl1RUVEwMjLCoEGDkJiYCD8/PzRq1AhDhw5FYmJi9V70B0hdXR2tW7fmvBckGWaOpMbMkZSYN6qu8PBwuLu7w8DAAGZmZvDz88OVK1fKbK+urg47OzvMnz8fdnZ20NbWhqurK/bv36/SLiwsDDKZTOXRunXr2n45InZKUZXIZDLxsjxbW1sAQPv27SGTyeDl5aXSdtGiRbCwsECTJk0wZcoUFBYWlrqf14yMjMQ7CwBAaGgoHBwcoKuri5YtW2L27Nkq+wgLC0O7du0QExMDGxsbyOVyDB8+HE+fPhXbeHl5ITg4WHweExODjh07wsDAAObm5hg5ciRyc3Or9l6gfl+jS+8PGZQwUl6HDMo6rUOhUCA7OxsWFhYqy01MTGBkZISEhATk5uZi4MCBpW6vqamJDh064PDhw+IypVKJw4cPw8PDQ1yWn5+PPn36QFNTEzt37oS2tnaZNT148ABz585FREQEgFcTO74+TxQWFqK4uLjKr/dDJZPJYGRkVObdW4hqGjNHUmPmSErMG1VXUlISpkyZguPHj+PgwYMoLCxEnz59UFBQUGp7mUyGRYsWYdWqVYiIiMDFixcRGBiIwYMHIzMzU6Wts7MzcnJyxEdZc8PWBnZKUbWdPHkSAHDo0CHk5ORg+/bt4rojR44gOzsbR44cwdq1axEdHa3S4VQRBgYGiI6OxsWLF7Fs2TL8+uuvWLJkiUqb7Oxs7NixA7t378bu3buRlJSEBQsWlLnPwsJCzJs3D2fOnMGOHTtw8+bNd94a88WLF8jPz1d5AEARyh65QVSTiqCJU1r/RBE0JT1uSEgIkpKScPPmTaSmpmLw4MFQV1fHiBEjALwaoXT8+HFkZ2fjt99+w9ChQzFt2jQ4OjqK++jVq5d4pz0A+Prrr/Hrr79i7dq1uHTpEiZPnoyCggKMGzcOwP93SBUUFCAyMhL5+fm4d+8e7t27V2oHU3BwML755htYWVkBALp06YKYmBhcunQJq1atQpcuXWrzLXovFRUV4dSpUygq4mhQkgYzR1Jj5khKzBtV1/79+zF27Fg4OzvD1dUV0dHRuH37NjIyMkptX1RUhDVr1iA0NBS+vr5o2bIlJk+eDF9fXyxevFilrYaGBszNzcWHiYmJFC/p1bElOxK9t0xNTQEATZo0KXHpTePGjbF8+XJxuGr//v1x+PBhTJw4scL7//bbb8U/29jYICQkBBs3bsT06dPF5UqlEtHR0eIleqNHj8bhw4cxf/78Uvc5fvx48c8tW7bETz/9BHd3dygUCujr65e6TXh4OObMmVNieUSri9AyNKrw6yGqKpmyGFYPryDB5hsIahIN/c58iIPnsrFq7Wd49uQR9Bo3gU27zhgbuReRd2TAnYfYn5yJjH+G4u8nj2FkaY2PxwbDxD8QCzIfirs5fekqZPa3oXi9zKEX+nwVhuAZ3+JpXi4sHNtixLKNiPpTHfjzIa6np+DEiRMAAHt7e5WSpu/OQGPL5uLz/6QmIPnsZTh/vUQ85suuw/HyUArau3dCM2c3uH0TpFIPvZtMWQyrv/5Gwpk86fJGHzRmjqTGzJGUmDeqjhntS3YSPXnyBMCrqWrK8vLlyxJXG+jo6JQYCfX6Ttva2trw8PBAeHg4mjdvDimwU4pqlbOzs8p10xYWFjh37lyl9rFp0yb89NNPyM7OhkKhQFFREQwNDVXa2NjYqMwZZWFhUe7leBkZGQgLC8OZM2fw6NEjKJWvLoe6ffs2nJycSt1m5syZ+Prrr8Xn+fn5sLa2rtRrIWqIRiz4tdz1PlO/g8/U78ptE7rndIllnsM/h+fwz0tt37JjF4SfflCh+hw8e8LBs6fKMk0dXYxcGFmh7YmIiIiIGhKlUong4GB06dIFbdu2LbNd586dsWzZMnzyySews7PD4cOHsX37dpUrD8q703Ztzcv8Jl6+R7Xq7UmJZTKZ2AH0+rkgqM7J9OZ8UWlpafD394evry92796NzMxMzJo1Cy9fvqzUcd5UUFCAvn37wtDQEOvXr8epU6cQGxsLACX2+yYtLS0YGhqqPIiIiIiIiIikNGXKFJw/fx4bN24st920adNgb2+P1q1bQ1NTE0FBQRg3bpzKXbLLu9O2FDhSiqpNU/PV/DZVmUjY1NQUOTk54vOrV6/i2bNn4vPU1FS0aNECs2bNEpfdunWrGtUCly9fRl5eHhYsWCCOdEpPT6/y/gQZ+3ZJGoJMDfeM7Zg5kgTzRlJj5khqzBxJiXmjmhIUFITdu3cjOTkZzZo1K7Oduro6evToAR8fH7x48QJ5eXmwtLTEjBkzyrxLNlDyTtu1jZ1SVK4nT54gKytLZVmTJk1UnpuZmUFHRwf79+9Hs2bNoK2tDblcXqH99+zZE8uXL4eHhweKi4sRGhqqMuqpVatWuH37NjZu3Ah3d3fs2bNHHNVUVc2bN4empiYiIiIQGBiI8+fPY968edXaJ5FUitV42ibpMG8kNWaOpMbMkZSYN6oOQRDw5ZdfIjY2FomJibC1tX3nNq8HkGhra8PKygqFhYXYtm0bhg0bVuY2r++0PXr06BqrvTzspqVyJSYmon379iqPtyf71tDQwE8//YSVK1fC0tISgwYNqvD+Fy9eDGtra3Tr1g0jR45ESEgIdHV1xfUDBw7EtGnTEBQUhHbt2iE1NRWzZ8+u1msyNTVFdHQ0tmzZAicnJyxYsACLFi2q8v5kQumXCRLVNJmghNXDK8wcSYJ5I6kxcyQ1Zo6kxLxRdU2ZMgW//fYbNmzYAAMDA/HO1H///bfYJiAgADNnzgTw6kqmtWvXYuvWrbh+/TqOHj0KHx8fKJVKlZuGvetO27VNJrw9oQ8RVUh+fj7kcjny8vLKveMBUU0pKipCeno6OnbsCA0N/k8b1S7mjaTGzJHUmDmSEvNG1SWTyUpdHhUVhbFjxwIAvLy8YGNjg+joaBQVFWHVqlVYvnw5rl+/Dn19ffj6+mLBggWwtLQUtx8+fDiSk5ORl5cHU1NTdO3aFfPnz4ednV216n397+UnT56UOx8zvw1ERERERERERPVYRcYTJSYmqjx3c3PD2bNny+0Ifddk6bWNl+8REREREREREZHkePkeURW9Ho74+PHjCk/sTlQdgiCguLgY6urqZQ7fJaopzBtJjZkjqTFzJCXmjaRW15mr6OV7HClFRNSAvHz5sq5LoA8I80ZSY+ZIaswcSYl5I6k1hMyxU4qomoqLi+u6BPpAFBcX4+zZs8wcSYJ5I6kxcyQ1Zo6kxLyR1BpK5tgpRUREREREREREkmOnFBERERERERERSY6dUkREDYi6unpdl0AfEOaNpMbMkdSYOZIS80ZSawiZ4933iKqooncTICIiIiIiIvqQ8O57RBJhvy5JRRAEPH78mJkjSTBvJDVmjqTGzJGUmDeSWkPJHDuliKqpvt/NgN4fxcXFuHz5MjNHkmDeSGrMHEmNmSMpMW8ktYaSOXZKERERERERERGR5NgpRUREREREREREkmOnFFE1yWSyui6BPhAymQw6OjrMHEmCeSOpMXMkNWaOpMS8kdQaSuZ49z2iKuLd94iIiIiIiIhK4t33iCSiVCrrugT6QCiVSuTm5jJzJAnmjaTGzJHUmDmSEvNGUmsomWOnFFE11fcvOb0/lEolrl+/zsyRJJg3khozR1Jj5khKzBtJraFkjp1SREREREREREQkOXZKERERERERERGR5NgpRVRN9f1uBvT+kMlkkMvlzBxJgnkjqTFzJDVmjqTEvJHUGkrmePc9oiri3feIiIiIiIiISuLd94gkUt8njqP3h1KpxJ07d5g5kgTzRlJj5khqzBxJiXkjqTWUzLFTiqia6vuXnN4fDeUvFno/MG8kNWaOpMbMkZSYN5JaQ8kcO6WIiIiIiIiIiEhy7JQiIiIiIiIiIiLJsVOKqJrU1Pg1ImmoqanB1NSUmSNJMG8kNWaOpMbMkZSYN5JaQ8kc775HVEW8+x4RERERERFRSbz7HpFE6vvEcfT+UCqVyM7OZuZIEswbSY2ZI6kxcyQl5o2k1lAyx04pomqq719yen8olUo8ePCAmSNJMG8kNWaOpMbMkZSYN5JaQ8kcO6WIiIiIiIiIiEhyGnVdAFFD9Xo6tvz8fGho8KtEta+oqAgFBQXMHEmCeSOpMXMkNWaOpMS8kdTqOnP5+fkA/v/fzWXht4GoivLy8gAAtra2dVwJERERERERUf3z9OlTyOXyMtezU4qoioyNjQEAt2/fLvdLRlRT8vPzYW1tjT/++IN3fKRax7yR1Jg5khozR1Ji3khqdZ05QRDw9OlTWFpaltuOnVJEVaSm9mpKNrlczr9YSFKGhobMHEmGeSOpMXMkNWaOpMS8kdTqMnMVGbzBic6JiIiIiIiIiEhy7JQiIiIiIiIiIiLJsVOKqIq0tLTw/fffQ0tLq65LoQ8EM0dSYt5IaswcSY2ZIykxbyS1hpI5mfCu+/MRERERERERERHVMI6UIiIiIiIiIiIiybFTioiIiIiIiIiIJMdOKSIiIiIiIiIikhw7pYjK8fPPP8PGxgba2tro3LkzTp48WW77LVu2oHXr1tDW1sZHH32EvXv3SlQpvS8qk7no6GjIZDKVh7a2toTVUkOWnJyMAQMGwNLSEjKZDDt27HjnNomJiXBzc4OWlhbs7e0RHR1d63XS+6OymUtMTCxxjpPJZLh37540BVODFh4eDnd3dxgYGMDMzAx+fn64cuXKO7fjbzmqiqrkjb/jqDp++eUXuLi4wNDQEIaGhvDw8MC+ffvK3aa+nt/YKUVUhk2bNuHrr7/G999/j9OnT8PV1RV9+/ZFbm5uqe1TU1MxYsQITJgwAZmZmfDz84Ofnx/Onz8vceXUUFU2cwBgaGiInJwc8XHr1i0JK6aGrKCgAK6urvj5558r1P7GjRvo378/PvnkE2RlZSE4OBiff/45Dhw4UMuV0vuispl77cqVKyrnOTMzs1qqkN4nSUlJmDJlCo4fP46DBw+isLAQffr0QUFBQZnb8LccVVVV8gbwdxxVXbNmzbBgwQJkZGQgPT0dPXv2xKBBg3DhwoVS29fn8xvvvkdUhs6dO8Pd3R3Lly8HACiVSlhbW+PLL7/EjBkzSrT/7LPPUFBQgN27d4vLPv74Y7Rr1w4rVqyQrG5quCqbuejoaAQHB+Px48cSV0rvG5lMhtjYWPj5+ZXZJjQ0FHv27FH58TJ8+HA8fvwY+/fvl6BKep9UJHOJiYn45JNP8OjRIxgZGUlWG72fHjx4ADMzMyQlJaF79+6ltuFvOaopFckbf8dRTTM2NsaPP/6ICRMmlFhXn89vHClFVIqXL18iIyMD3t7e4jI1NTV4e3sjLS2t1G3S0tJU2gNA3759y2xP9KaqZA4AFAoFWrRoAWtr63L/d4SouniOo7rSrl07WFhYoHfv3khJSanrcqiBevLkCYBX/2grC89zVFMqkjeAv+OoZhQXF2Pjxo0oKCiAh4dHqW3q8/mNnVJEpXj48CGKi4vRtGlTleVNmzYtcy6Le/fuVao90ZuqkjlHR0esWbMGcXFx+O2336BUKuHp6Yk7d+5IUTJ9YMo6x+Xn5+Pvv/+uo6rofWZhYYEVK1Zg27Zt2LZtG6ytreHl5YXTp0/XdWnUwCiVSgQHB6NLly5o27Ztme34W45qQkXzxt9xVF3nzp2Dvr4+tLS0EBgYiNjYWDg5OZXatj6f3zTqugAiIqoaDw8Plf8N8fT0RJs2bbBy5UrMmzevDisjIqo+R0dHODo6is89PT2RnZ2NJUuWICYmpg4ro4ZmypQpOH/+PI4dO1bXpdAHoKJ54+84qi5HR0dkZWXhyZMn2Lp1K8aMGYOkpKQyO6bqK46UIiqFiYkJ1NXVcf/+fZXl9+/fh7m5eanbmJubV6o90Zuqkrm3NWrUCO3bt8e1a9dqo0T6wJV1jjM0NISOjk4dVUUfmk6dOvEcR5USFBSE3bt348iRI2jWrFm5bflbjqqrMnl7G3/HUWVpamrC3t4eHTp0QHh4OFxdXbFs2bJS29bn8xs7pYhKoampiQ4dOuDw4cPiMqVSicOHD5d5na6Hh4dKewA4ePBgme2J3lSVzL2tuLgY586dg4WFRW2VSR8wnuOoPsjKyuI5jipEEAQEBQUhNjYWCQkJsLW1fec2PM9RVVUlb2/j7ziqLqVSiRcvXpS6rj6f33j5HlEZvv76a4wZMwYdO3ZEp06dsHTpUhQUFGDcuHEAgICAAFhZWSE8PBwA8NVXX6FHjx5YvHgx+vfvj40bNyI9PR2rVq2qy5dBDUhlMzd37lx8/PHHsLe3x+PHj/Hjjz/i1q1b+Pzzz+vyZVADoVAoVP439saNG8jKyoKxsTGaN2+OmTNn4u7du1i3bh0AIDAwEMuXL8f06dMxfvx4JCQkYPPmzdizZ09dvQRqYCqbuaVLl8LW1hbOzs54/vw5Vq9ejYSEBMTHx9fVS6AGZMqUKdiwYQPi4uJgYGAgzpsil8vF0Z38LUc1pSp54+84qo6ZM2eiX79+aN68OZ4+fYoNGzYgMTERBw4cANDAzm8CEZUpIiJCaN68uaCpqSl06tRJOH78uLiuR48ewpgxY1Tab968WXBwcBA0NTUFZ2dnYc+ePRJXTA1dZTIXHBwstm3atKng6+srnD59ug6qpoboyJEjAoASj9cZGzNmjNCjR48S27Rr107Q1NQUWrZsKURFRUleNzVclc3cwoULBTs7O0FbW1swNjYWvLy8hISEhLopnhqc0rIGQOW8xd9yVFOqkjf+jqPqGD9+vNCiRQtBU1NTMDU1FXr16iXEx8eL6xvS+U0mCIIgZScYERERERERERER55QiIiIiIiIiIiLJsVOKiIiIiIiIiIgkx04pIiIiIiIiIiKSHDuliIiIiIiIiIhIcuyUIiIiIiIiIiIiybFTioiIiIiIiIiIJMdOKSIiIiIiIiIikhw7pYiIiIiIiIiISHLslCIiIiIiolp18+ZNyGQyZGVl1XUpRERUj7BTioiIiOq1tLQ0qKuro3///nVdiiRkMpn4MDQ0hLu7O+Li4lTaREdHq7R7/Vi9erXK+jZt2pTY/5YtWyCTyWBjY1NuHUlJSejZsyeMjY2hq6uLVq1aYcyYMXj58mWNvdaa9sknn4jvQVl+//13qKurY8qUKRJVVXdedwS9/Rg1alRdl1YqLy8vsUZtbW04ODggPDwcgiBUaj82NjZYunRp7RRJREQ1ip1SREREVK9FRkbiyy+/RHJyMv78889aPZYgCCgqKqrVY1REVFQUcnJykJ6eji5duuDTTz/FuXPnVNoYGhoiJydH5eHv7y+u19PTQ25uLtLS0lS2i4yMRPPmzcs9/sWLF+Hj44OOHTsiOTkZ586dQ0REBDQ1NVFcXFxzL/QN1X3v//rrL6SkpGDAgAHltouMjMT06dPx+++/4/nz51U+XkUUFxdDqVTW6jEq4tChQyo5+fnnn0u0qS/ZnzhxInJycnDlyhXMnDkT3333HVasWFHXZRERUS1hpxQRERHVWwqFAps2bcLkyZPRv39/REdHi+tGjhyJzz77TKV9YWEhTExMsG7dOgCAUqlEeHg4bG1toaOjA1dXV2zdulVsn5iYCJlMhn379qFDhw7Q0tLCsWPHkJ2djUGDBqFp06bQ19eHu7s7Dh06pHKsnJwc9O/fHzo6OrC1tcWGDRtKjNB4/PgxPv/8c5iamsLQ0BA9e/bEmTNn3vm6jYyMYG5uDgcHB8ybNw9FRUU4cuSIShuZTAZzc3OVh46OjrheQ0MDI0eOxJo1a8Rld+7cQWJiIkaOHFnu8ePj42Fubo4ffvgBbdu2hZ2dHXx8fPDrr7+qHCMlJQVeXl7Q1dVF48aN0bdvXzx69AgA8OLFC0ydOhVmZmbQ1tZG165dcerUqXe+9+/6zMqyZ88euLm5oWnTpmW2uXHjBlJTUzFjxgw4ODhg+/bt4jpPT0+EhoaqtH/w4AEaNWqE5ORk8TWFhITAysoKenp66Ny5MxITE8X20dHRMDIyws6dO+Hk5AQtLS3cvn0bp06dQu/evWFiYgK5XI4ePXrg9OnTKse6fPkyunbtCm1tbTg5OeHQoUOQyWTYsWOH2OaPP/7AsGHDYGRkBGNjYwwaNAg3b95853vTpEkTlZzI5fJqZf/tuoBXmX3z+3ny5Em0b98e2tra6NixIzIzM99ZJwDo6urC3NwcLVq0wLhx4+Di4oKDBw+K699Vn5eXF27duoVp06aJo65eO3bsGLp16wYdHR1YW1tj6tSpKCgoqFBdRERUO9gpRURERPXW5s2b0bp1azg6OmLUqFFYs2aNeCmPv78/du3aBYVCIbY/cOAAnj17hsGDBwMAwsPDsW7dOqxYsQIXLlzAtGnTMGrUKCQlJakcZ8aMGViwYAEuXboEFxcXKBQK+Pr64vDhw8jMzISPjw8GDBiA27dvi9sEBATgzz//RGJiIrZt24ZVq1YhNzdXZb9Dhw5Fbm4u9u3bh4yMDLi5uaFXr17466+/KvT6i4qKEBkZCQDQ1NSs9Ps3fvx4bN68Gc+ePQPwqtPEx8en3I4bADA3N0dOTo7YGVOarKws9OrVC05OTkhLS8OxY8cwYMAAcSTV9OnTsW3bNqxduxanT5+Gvb09+vbtW+K1v/3eV/Qze9vOnTsxaNCgcttERUWhf//+kMvlGDVqlPjeAq/ytHHjRpVLxTZt2gRLS0t069YNABAUFIS0tDRs3LgRZ8+exdChQ+Hj44OrV6+K2zx79gwLFy7E6tWrceHCBZiZmeHp06cYM2YMjh07huPHj6NVq1bw9fXF06dPAbwaUeXn5wddXV2cOHECq1atwqxZs1RqLywsRN++fWFgYICjR48iJSUF+vr68PHxqdYllVXJ/rsoFAr813/9F5ycnJCRkYGwsDCEhIRUqi5BEHD06FFcvnxZJfvvqm/79u1o1qwZ5s6dK44MA151Zvn4+GDIkCE4e/YsNm3ahGPHjiEoKKhSdRERUQ0TiIiIiOopT09PYenSpYIgCEJhYaFgYmIiHDlyROX5unXrxPYjRowQPvvsM0EQBOH58+eCrq6ukJqaqrLPCRMmCCNGjBAEQRCOHDkiABB27NjxzlqcnZ2FiIgIQRAE4dKlSwIA4dSpU+L6q1evCgCEJUuWCIIgCEePHhUMDQ2F58+fq+zHzs5OWLlyZZnHASBoa2sLenp6gpqamgBAsLGxEfLy8sQ2UVFRAgBBT09PfDRt2lRlvVwuFwRBENq1ayesXbtWUCqVgp2dnRAXFycsWbJEaNGiRZk1FBUVCWPHjhUACObm5oKfn58QEREhPHnyRGwzYsQIoUuXLqVur1AohEaNGgnr168Xl718+VKwtLQUfvjhB0EQSn/vK/KZleb58+eCvr6+cP78+TLbFBcXC9bW1uLxHjx4IGhqagrXr18XBEEQcnNzBQ0NDSE5OVncxsPDQwgNDRUEQRBu3bolqKurC3fv3lXZb69evYSZM2cKgvD/n0tWVlaZdbyuxcDAQNi1a5cgCIKwb98+QUNDQ8jJyRHbHDx4UAAgxMbGCoIgCDExMYKjo6OgVCrFNi9evBB0dHSEAwcOlHqcGzduCAAEHR0dlaycPn26ytkXBEGlrtfkcrkQFRUlCIIgrFy5UmjSpInw999/i+t/+eUXAYCQmZlZ5nF69OghNGrUSNDT0xMaNWokfhdSUlIqVV+LFi3E7+FrEyZMECZNmqSy7OjRo4KamppKnUREJC2OlCIiIqJ66cqVKzh58iRGjBgB4NXlaJ999pk4ukVDQwPDhg3D+vXrAQAFBQWIi4sT51W6du0anj17ht69e0NfX198rFu3DtnZ2SrH6tixo8pzhUKBkJAQtGnTBkZGRtDX18elS5fE0RhXrlyBhoYG3NzcxG3s7e3RuHFj8fmZM2egUCjQpEkTlePfuHGjxPHftmTJEmRlZWHfvn1wcnLC6tWrYWxsrNLGwMAAWVlZ4iM1NbXUfY0fPx5RUVFISkpCQUEBfH19yz02AKirqyMqKgp37tzBDz/8ACsrK/zrX/+Cs7OzOPLk9Uip0mRnZ6OwsBBdunQRlzVq1AidOnXCpUuXVNq++d5X5jN7U0JCAszMzODs7Fxmm4MHD6q8fhMTE/Tu3Vu8vNHU1BR9+vQR83Tjxg2kpaWJeTp37hyKi4vh4OCgUltSUpJKbZqamnBxcVE59v379zFx4kS0atUKcrkchoaGUCgUKnmytraGubm5uE2nTp1U9nHmzBlcu3YNBgYG4rGNjY3x/Pnzd+Zp06ZNKllxcnIS11U2+xXxetSVtra2uMzDw6NC2/r7+yMrKwspKSno168fZs2aBU9Pz2rXd+bMGURHR6t8dn379oVSqcSNGzcq/NqIiKhmadR1AURERESliYyMRFFRESwtLcVlgiBAS0sLy5cvh1wuh7+/P3r06IHc3FwcPHgQOjo68PHxAQDxsr49e/bAyspKZd9aWloqz/X09FSeh4SE4ODBg1i0aBHs7e2ho6ODTz/9tFKXSSkUClhYWKjMOfSakZFRuduam5vD3t4e9vb2iIqKgq+vLy5evAgzMzOxjZqaGuzt7d9Zh7+/P6ZPn46wsDCMHj0aGhoV//lnZWWF0aNHY/To0Zg3bx4cHBywYsUKzJkzR2Vuqep4872vzGf2pp07d2LgwIHlHicyMhJ//fWXSt1KpRJnz57FnDlzoKamBn9/f0ydOhURERHYsGEDPvroI3z00Udiberq6sjIyIC6urrKvvX19cU/6+joqMxjBABjxoxBXl4eli1bhhYtWkBLSwseHh6VzlOHDh3ETrM3mZqalruttbV1mVmpSvZlMlmJO+IVFhZW9KWUSy6Xi7Vu3rwZ9vb2+Pjjj+Ht7V3h+kqjUCjwxRdfYOrUqSXWvWvifyIiqj3slCIiIqJ6p6ioCOvWrcPixYvRp08flXV+fn74/fffERgYCE9PT1hbW2PTpk3Yt28fhg4dikaNGgGAykTTPXr0qNTxU1JSMHbsWHFuKoVCoTKhtKOjI4qKipCZmYkOHToAeDXK5/Uk3wDg5uaGe/fuQUNDAzY2NlV4F17p1KkTOnTogPnz52PZsmWV3t7Y2BgDBw7E5s2bq3UXs8aNG8PCwkKcGNrFxQWHDx/GnDlzSrS1s7ODpqYmUlJS0KJFCwCvOi1OnTqF4ODgMo9Rlc9MEATs2rULv/32W5lt8vLyEBcXh40bN6qMpiouLkbXrl0RHx8PHx8fDBo0CJMmTcL+/fuxYcMGBAQEiG3bt2+P4uJi5ObminNMVVRKSgr+93//Vxyl9ccff+Dhw4fiekdHR/zxxx+4f/++ON/Xm5PCA6/ytGnTJpiZmcHQ0LBSx69sreVlH3jVCfZ6xBwAXL16VZy3DADatGmDmJgYPH/+XBwtdfz48UrXoq+vj6+++gohISHIzMyETCarUH2l3SXSzc0NFy9erFBHLhERSYeX7xEREVG9s3v3bjx69AgTJkxA27ZtVR5DhgxRmaB65MiRWLFiBQ4ePCheagW8urwtJCQE06ZNw9q1a5GdnY3Tp08jIiICa9euLff4rVq1wvbt25GVlYUzZ85g5MiRUCqV4vrWrVvD29sbkyZNwsmTJ5GZmYlJkyapjJLx9vaGh4cH/Pz8EB8fj5s3byI1NRWzZs1Cenp6pd6P4OBgrFy5Enfv3q3Udq9FR0fj4cOHaN26dYXar1y5EpMnT0Z8fDyys7Nx4cIFhIaG4sKFCxgwYAAAYObMmTh16hT+8Y9/4OzZs7h8+TJ++eUXPHz4EHp6epg8eTL++c9/Yv/+/bh48SImTpyIZ8+eYcKECWUetyqfWUZGBp49e4auXbuWud+YmBg0adIEw4YNU8mSq6srfH19xTzp6enBz88Ps2fPxqVLl8RLRwHAwcEB/v7+CAgIwPbt23Hjxg2cPHkS4eHh2LNnT7nvZ6tWrRATE4NLly7hxIkT8Pf3Vxmx1bt3b9jZ2WHMmDE4e/YsUlJS8O233wKAmCd/f3+YmJhg0KBBOHr0KG7cuIHExERMnToVd+7cKff4lfGu7ANAz549sXz5cmRmZiI9PR2BgYFiZzDw6jspk8kwceJEXLx4EXv37sWiRYuqVM8XX3yB//znP9i2bVuF67OxsUFycjLu3r0rdv6FhoYiNTUVQUFByMrKwtWrVxEXF8eJzomI6hg7pYiIiKjeiYyMhLe3N+RyeYl1Q4YMQXp6Os6ePQvg1T/WL168CCsrK5U5jABg3rx5mD17NsLDw9GmTRv4+Phgz549sLW1Lff4//73v9G4cWN4enpiwIAB6Nu3r8r8UQCwbt06NG3aFN27d8fgwYMxceJEGBgYiCNDZDIZ9u7di+7du2PcuHFwcHDA8OHDcevWrXfe/e5tPj4+sLW1xfz58yu13Ws6Ojpo0qRJhdt36tQJCoUCgYGBcHZ2Ro8ePXD8+HHs2LFDHMHk4OCA+Ph4nDlzBp06dYKHhwfi4uLEywMXLFiAIUOGYPTo0XBzc8O1a9dw4MABlXm3SlPZzywuLg6+vr7lXpa4Zs0aDB48uMRldcCrPO3cuVPsvPD398eZM2fQrVu3Epd1RUVFISAgAN988w0cHR3h5+eHU6dOvfPyr8jISDx69Ahubm4YPXo0pk6dqnIpprq6Onbs2AGFQgF3d3d8/vnn4t33XudJV1cXycnJaN68Of77v/8bbdq0wYQJE/D8+fMaHTlVkewvXrwY1tbW6NatG0aOHImQkBDo6uqK6/X19bFr1y6cO3cO7du3x6xZs7Bw4cIq1WNsbIyAgACEhYVBqVRWqL65c+fi5s2bsLOzEy9tdHFxQVJSEv7zn/+gW7duaN++Pb777juVy4OJiEh6MuHtC8KJiIiIqNLu3LkDa2trHDp0qMwJwKnmubi44Ntvv8WwYcPqupQalZKSgq5du+LatWuws7Or63KIiIhqBeeUIiIiIqqChIQEKBQKfPTRR8jJycH06dNhY2OD7t2713VpH4yXL19iyJAh6NevX12XUm2xsbHQ19dHq1atcO3aNXz11Vfo0qULO6SIiOi9xk4pIiIioiooLCzE//zP/+D69eswMDCAp6cn1q9frzK3DtUuTU1NfP/993VdRo14+vQpQkNDcfv2bZiYmMDb2xuLFy+u67KIiIhqFS/fIyIiIiIiIiIiyXGicyIiIiIiIiIikhw7pYiIiIiIiIiISHLslCIiIiIiIiIiIsmxU4qIiIiIiIiIiCTHTikiIiIiIiIiIpIcO6WIiIiIiIiIiEhy7JQiIiIiIiIiIiLJsVOKiIiIiIiIiIgkx04pIiIiIiIiIiKS3P8BjTlu2bmdyBgAAAAASUVORK5CYII=\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Let's group data by 'purchase_category' and calculate average RFM score and fraud rate\n", "avg_rfm_by_purchase_category = df.groupby('purchase_category')['rfm_score'].mean().reset_index()\n", "avg_fraud_by_purchase_category = df.groupby('purchase_category')['is_fraudulent'].mean().reset_index()\n", "\n", "avg_rfm_by_purchase_category = avg_rfm_by_purchase_category.sort_values(by='rfm_score', ascending=False)\n", "avg_fraud_by_purchase_category = avg_fraud_by_purchase_category.sort_values(by='is_fraudulent', ascending=False)\n", "\n", "bar_width = 0.4\n", "index = np.arange(len(avg_rfm_by_purchase_category['purchase_category']))\n", "plt.figure(figsize=(12, 8))\n", "\n", "plt.barh(index, avg_rfm_by_purchase_category['rfm_score'], bar_width, color='skyblue', label='Average RFM Score')\n", "plt.barh(index + bar_width, avg_fraud_by_purchase_category['is_fraudulent'], bar_width, color='orange', label='Average Fraud Rate')\n", "\n", "for i, rfm_score in enumerate(avg_rfm_by_purchase_category['rfm_score']):\n", " plt.text(rfm_score, i, f'{rfm_score:.3f}', ha='left', va='center')\n", "\n", "for i, fraud_rate in enumerate(avg_fraud_by_purchase_category['is_fraudulent']):\n", " plt.text(fraud_rate, i + bar_width, f'{fraud_rate:.2%}', ha='left', va='center', color='black')\n", "\n", "plt.xlabel('Average RFM Score / Average Fraud Rate')\n", "plt.ylabel('Purchase Category')\n", "plt.title('Average RFM Score and Fraud Rate by Purchase Category')\n", "plt.yticks(index + bar_width / 2, avg_rfm_by_purchase_category['purchase_category'])\n", "plt.legend()\n", "plt.grid(axis='x', linestyle='--', alpha=0.7)\n", "plt.tight_layout()\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 807 }, "id": "TU6S-KDIPuXR", "outputId": "52b5b0f3-7e94-4f06-b517-4b62e77e3ec5" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "# Let's count the number of fraudulent transactions\n", "fraud_counts = df['is_fraudulent'].value_counts()\n", "\n", "labels = ['Non-Fraudulent', 'Fraudulent']\n", "\n", "colors = ['lightblue', 'orange']\n", "\n", "plt.figure(figsize=(6, 6))\n", "plt.pie(fraud_counts, labels=labels, colors=colors, autopct='%1.1f%%', startangle=140)\n", "plt.title('Distribution of Fraudulent Transactions')\n", "plt.axis('equal')\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 521 }, "id": "wguogri0PuVH", "outputId": "ab46afdd-ea8d-49ac-afd7-2d26648db61a" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "# Data Preprocessing For Model\n" ], "metadata": { "id": "fqOA5Oe61Xuj" } }, { "cell_type": "code", "source": [ "df = pd.read_csv('/content/synthetic_financial_data.csv')" ], "metadata": { "id": "suzTRBYWSUeA" }, "execution_count": 4, "outputs": [] }, { "cell_type": "code", "source": [ "# Let's remove Unnecessary Columns\n", "df.drop(['transaction_id','customer_id','transaction_description','merchant_id','transaction_time','location'], axis = 1, inplace = True)" ], "metadata": { "id": "u47ATDTf-LbE" }, "execution_count": 5, "outputs": [] }, { "cell_type": "code", "source": [ "fraud_mean_by_country = df.groupby('country').aggregate({'is_fraudulent': 'mean'})\n", "fraud_mean_by_country_dict = fraud_mean_by_country['is_fraudulent'].to_dict()" ], "metadata": { "id": "U_NhfWrBW8w2" }, "execution_count": 6, "outputs": [] }, { "cell_type": "code", "source": [ "df['country'] = df['country'].map(fraud_mean_by_country_dict)" ], "metadata": { "id": "a8UyswJ8YGdz" }, "execution_count": 7, "outputs": [] }, { "cell_type": "code", "source": [ "# Let's create new column from age column\n", "def group(x):\n", " if x < 33:\n", " a = '18-32'\n", " elif x < 60:\n", " a = '33-60'\n", " elif x >= 60:\n", " a = '60+'\n", " return a\n", "\n", "df['Age_group'] = df['customer_age'].apply(lambda x: group(x))" ], "metadata": { "id": "CDPDZERihK96" }, "execution_count": 8, "outputs": [] }, { "cell_type": "code", "source": [ "df = pd.get_dummies(df,columns=['card_type','purchase_category','Age_group'],drop_first=True,dtype=float)" ], "metadata": { "id": "C-A5gGTBYGTh" }, "execution_count": 9, "outputs": [] }, { "cell_type": "code", "source": [ "for i in df.columns:\n", " df[i] = df[i].astype(int)" ], "metadata": { "id": "DvTp8N5ukNs5" }, "execution_count": 10, "outputs": [] }, { "cell_type": "code", "source": [ "import pandas as pd\n", "import numpy as np\n", "import statsmodels.api as sm\n", "from statsmodels.stats.outliers_influence import variance_inflation_factor\n", "\n", "x = df.drop(columns=['is_fraudulent'])\n", "y = df['is_fraudulent']\n", "\n", "xc = sm.add_constant(x)\n", "xc = xc.loc[:, ~xc.columns.duplicated()]\n", "\n", "def calculate_vif(df):\n", " vif = pd.DataFrame()\n", " vif[\"feature\"] = df.columns\n", " vif[\"VIF\"] = [variance_inflation_factor(df.values, i) for i in range(df.shape[1])]\n", " return vif\n", "\n", "# Iteratively remove features with high VIF\n", "threshold = 10\n", "while True:\n", " vif_data = calculate_vif(xc)\n", " max_vif = vif_data['VIF'].max()\n", " if max_vif > threshold:\n", " feature_to_remove = vif_data.sort_values('VIF', ascending=False).iloc[0]['feature']\n", " xc = xc.drop(columns=[feature_to_remove])\n", " else:\n", " break\n", "\n", "xc = xc.loc[:, (xc != xc.iloc[0]).any()]\n", "\n", "try:\n", " model = sm.Logit(y, xc).fit()\n", " print(model.summary())\n", "except np.linalg.LinAlgError as e:\n", " print(f\"An error occurred: {e}\")\n", "\n", "print(\"\\nFinal VIF values after feature selection:\")\n", "print(calculate_vif(xc))" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 0 }, "id": "b0Im-hDxfajF", "outputId": "e63b9dd3-6ea1-4382-add7-6e30224b8546" }, "execution_count": 11, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.10/dist-packages/statsmodels/regression/linear_model.py:1783: RuntimeWarning: invalid value encountered in scalar divide\n", " return 1 - self.ssr/self.centered_tss\n", "/usr/local/lib/python3.10/dist-packages/statsmodels/regression/linear_model.py:1785: RuntimeWarning: invalid value encountered in scalar divide\n", " return 1 - self.ssr/self.uncentered_tss\n", "/usr/local/lib/python3.10/dist-packages/statsmodels/regression/linear_model.py:1785: RuntimeWarning: invalid value encountered in scalar divide\n", " return 1 - self.ssr/self.uncentered_tss\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Optimization terminated successfully.\n", " Current function value: 0.692143\n", " Iterations 3\n", " Logit Regression Results \n", "==============================================================================\n", "Dep. Variable: is_fraudulent No. Observations: 10000\n", "Model: Logit Df Residuals: 9989\n", "Method: MLE Df Model: 10\n", "Date: Thu, 30 May 2024 Pseudo R-squ.: 0.001315\n", "Time: 14:33:11 Log-Likelihood: -6921.4\n", "converged: True LL-Null: -6930.5\n", "Covariance Type: nonrobust LLR p-value: 0.05116\n", "=====================================================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", "-----------------------------------------------------------------------------------------------------\n", "amount 5.909e-06 6.21e-06 0.952 0.341 -6.25e-06 1.81e-05\n", "card_type_Discover 0.0619 0.052 1.193 0.233 -0.040 0.164\n", "card_type_MasterCard 0.1277 0.053 2.404 0.016 0.024 0.232\n", "card_type_Visa 0.0709 0.052 1.357 0.175 -0.032 0.173\n", "purchase_category_Groceries 0.0494 0.061 0.808 0.419 -0.070 0.169\n", "purchase_category_Online Shopping -0.1220 0.062 -1.962 0.050 -0.244 -0.000\n", "purchase_category_Restaurant -0.1502 0.062 -2.428 0.015 -0.271 -0.029\n", "purchase_category_Retail -0.0169 0.062 -0.273 0.785 -0.138 0.104\n", "purchase_category_Travel -0.0493 0.062 -0.800 0.423 -0.170 0.071\n", "Age_group_33-60 -0.0428 0.043 -0.990 0.322 -0.128 0.042\n", "Age_group_60+ -0.0073 0.054 -0.133 0.894 -0.114 0.100\n", "=====================================================================================================\n", "\n", "Final VIF values after feature selection:\n", " feature VIF\n", "0 amount 3.169089\n", "1 card_type_Discover 1.769720\n", "2 card_type_MasterCard 1.675466\n", "3 card_type_Visa 1.696038\n", "4 purchase_category_Groceries 1.574870\n", "5 purchase_category_Online Shopping 1.591807\n", "6 purchase_category_Restaurant 1.561534\n", "7 purchase_category_Retail 1.586683\n", "8 purchase_category_Travel 1.602626\n", "9 Age_group_33-60 2.361037\n", "10 Age_group_60+ 1.565500\n" ] } ] }, { "cell_type": "code", "source": [ "from sklearn.decomposition import PCA\n", "\n", "X = df[['purchase_category_Groceries','purchase_category_Retail',\n", " 'purchase_category_Travel', 'Age_group_33-60', 'Age_group_60+']]\n", "y = df['is_fraudulent']\n", "\n", "pca = PCA(n_components=4)\n", "X_pca = pca.fit_transform(X)\n", "\n", "df.drop(columns=['customer_age',\n", " 'card_type_Discover', 'card_type_Visa',\n", " 'purchase_category_Groceries','purchase_category_Retail',\n", " 'purchase_category_Travel', 'Age_group_33-60', 'Age_group_60+'], inplace=True)\n", "\n", "df['pca1'] = X_pca[:, 0]\n", "df['pca2'] = X_pca[:, 1]" ], "metadata": { "id": "lNH3oJ5WUszX" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "import pandas as pd\n", "import numpy as np\n", "import statsmodels.api as sm\n", "from statsmodels.stats.outliers_influence import variance_inflation_factor\n", "\n", "x = df.drop(columns=['is_fraudulent'])\n", "y = df['is_fraudulent']\n", "\n", "xc = sm.add_constant(x)\n", "xc = xc.loc[:, ~xc.columns.duplicated()]\n", "\n", "# Iteratively remove features with high VIF\n", "threshold = 10\n", "while True:\n", " vif_data = calculate_vif(xc)\n", " max_vif = vif_data['VIF'].max()\n", " if max_vif > threshold:\n", " feature_to_remove = vif_data.sort_values('VIF', ascending=False).iloc[0]['feature']\n", " xc = xc.drop(columns=[feature_to_remove])\n", " else:\n", " break\n", "\n", "xc = xc.loc[:, (xc != xc.iloc[0]).any()]\n", "\n", "try:\n", " model = sm.Logit(y, xc).fit()\n", " print(model.summary())\n", "except np.linalg.LinAlgError as e:\n", " print(f\"An error occurred: {e}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "RPvvFAkJUsxT", "outputId": "42856c7c-383e-49c2-aa25-92938f8276bd" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Optimization terminated successfully.\n", " Current function value: 0.692248\n", " Iterations 3\n", " Logit Regression Results \n", "==============================================================================\n", "Dep. Variable: is_fraudulent No. Observations: 10000\n", "Model: Logit Df Residuals: 9994\n", "Method: MLE Df Model: 5\n", "Date: Thu, 30 May 2024 Pseudo R-squ.: 0.001165\n", "Time: 13:00:44 Log-Likelihood: -6922.5\n", "converged: True LL-Null: -6930.5\n", "Covariance Type: nonrobust LLR p-value: 0.006452\n", "=====================================================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", "-----------------------------------------------------------------------------------------------------\n", "amount 8.123e-06 4.26e-06 1.905 0.057 -2.33e-07 1.65e-05\n", "card_type_MasterCard 0.0875 0.045 1.929 0.054 -0.001 0.176\n", "purchase_category_Online Shopping -0.1126 0.053 -2.113 0.035 -0.217 -0.008\n", "purchase_category_Restaurant -0.1405 0.053 -2.634 0.008 -0.245 -0.036\n", "pca1 0.0366 0.035 1.040 0.299 -0.032 0.106\n", "pca2 -0.0687 0.049 -1.411 0.158 -0.164 0.027\n", "=====================================================================================================\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.10/dist-packages/statsmodels/regression/linear_model.py:1783: RuntimeWarning: invalid value encountered in scalar divide\n", " return 1 - self.ssr/self.centered_tss\n" ] } ] }, { "cell_type": "markdown", "source": [ "# Modelling" ], "metadata": { "id": "Mg89oafPSxqa" } }, { "cell_type": "code", "source": [ "# Let's define target and input value\n", "X = df.drop('is_fraudulent', axis =1)\n", "y = df['is_fraudulent']" ], "metadata": { "id": "9R92kZ1jSheA" }, "execution_count": 12, "outputs": [] }, { "cell_type": "code", "source": [ "# Let's divide dataset to train and test data\n", "from sklearn.model_selection import train_test_split\n", "\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)" ], "metadata": { "id": "hke5-wQxCHam" }, "execution_count": 13, "outputs": [] }, { "cell_type": "code", "source": [ "# Let's create models\n", "import pandas as pd\n", "from sklearn.model_selection import train_test_split, cross_val_score\n", "from sklearn.linear_model import Lasso\n", "from sklearn.neighbors import KNeighborsClassifier\n", "from sklearn.svm import SVC\n", "from sklearn.tree import DecisionTreeClassifier\n", "from xgboost import XGBClassifier\n", "from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier\n", "\n", "# Define classifiers\n", "classifiers = {\n", " \"Support Vector Classifier\": SVC(probability=True),\n", " \"DecisionTreeClassifier\": DecisionTreeClassifier(),\n", " \"RandomForestClassifier\": RandomForestClassifier(),\n", " \"XGBoost\": XGBClassifier(),\n", " \"GradientBoosting\": GradientBoostingClassifier(),\n", "}\n", "\n", "# Train classifiers and print training scores\n", "for key, classifier in classifiers.items():\n", " classifier.fit(X_train, y_train)\n", " training_score = cross_val_score(classifier, X_train, y_train, cv=5)\n", " print(\"Classifier:\", key, \"has a training score of\", round(training_score.mean() * 100, 2), \"% accuracy score\")" ], "metadata": { "id": "yCZMy7ThSv6P", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "54c5ff06-9f04-4786-f0e6-c64a94bc7db4" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Classifier: Support Vector Classifier has a training score of 49.1 % accuracy score\n", "Classifier: DecisionTreeClassifier has a training score of 51.01 % accuracy score\n", "Classifier: RandomForestClassifier has a training score of 50.42 % accuracy score\n", "Classifier: XGBoost has a training score of 50.65 % accuracy score\n", "Classifier: GradientBoosting has a training score of 50.56 % accuracy score\n" ] } ] }, { "cell_type": "code", "source": [ "# Let's evaluate\n", "from sklearn.metrics import roc_curve, auc\n", "import matplotlib.pyplot as plt\n", "\n", "# Train classifiers and evaluate performance with ROC-AUC\n", "for key, classifier in classifiers.items():\n", " classifier.fit(X_train, y_train)\n", " y_score = classifier.predict_proba(X_test)[:,1]\n", " fpr, tpr, _ = roc_curve(y_test, y_score)\n", " roc_auc = auc(fpr, tpr)\n", "\n", " plt.figure()\n", " lw = 2\n", " plt.plot(fpr, tpr, color='darkorange',\n", " lw=lw, label='ROC curve (area = %0.2f)' % roc_auc)\n", " plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n", " plt.xlim([0.0, 1.0])\n", " plt.ylim([0.0, 1.05])\n", " plt.xlabel('False Positive Rate')\n", " plt.ylabel('True Positive Rate')\n", " plt.title('ROC Curve - ' + key)\n", " plt.legend(loc=\"lower right\")\n", " plt.show()" ], "metadata": { "id": "PTObfS9dD8g5", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "e042123f-ea9a-4676-d72f-c75c69d32c4e" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" 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\n" 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\n" 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\n" 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\n" 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\n" }, "metadata": {} } ] }, { "cell_type": "code", "source": [ "from sklearn.metrics import roc_curve, auc, classification_report, confusion_matrix\n", "import matplotlib.pyplot as plt\n", "\n", "# Train classifiers and evaluate performance with ROC-AUC\n", "for key, classifier in classifiers.items():\n", " classifier.fit(X_train, y_train)\n", " y_pred = classifier.predict(X_test)\n", " y_score = classifier.predict_proba(X_test)[:,1]\n", "\n", " # Compute confusion matrix\n", " cm = confusion_matrix(y_test, y_pred)\n", "\n", " # Compute classification report\n", " report = classification_report(y_test, y_pred)\n", "\n", " # Plot ROC curve\n", " plt.figure()\n", " lw = 2\n", "\n", " # Output metrics\n", " print(\"Metrics for\", key)\n", " print(\"Confusion Matrix:\")\n", " print(cm)\n", " print(\"\\nClassification Report:\")\n", " print(report)\n", " print(\"\\n\\n\")" ], "metadata": { "id": "DTWVzgb1dmCR", "outputId": "fb8e875c-b0a3-452e-bf76-7cf1e081de0f", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 } }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", " _warn_prf(average, modifier, msg_start, len(result))\n", "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", " _warn_prf(average, modifier, msg_start, len(result))\n", "/usr/local/lib/python3.10/dist-packages/sklearn/metrics/_classification.py:1344: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", " _warn_prf(average, modifier, msg_start, len(result))\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Metrics for Support Vector Classifier\n", "Confusion Matrix:\n", "[[ 0 966]\n", " [ 0 1034]]\n", "\n", "Classification Report:\n", " precision recall f1-score support\n", "\n", " 0 0.00 0.00 0.00 966\n", " 1 0.52 1.00 0.68 1034\n", "\n", " accuracy 0.52 2000\n", " macro avg 0.26 0.50 0.34 2000\n", "weighted avg 0.27 0.52 0.35 2000\n", "\n", "\n", "\n", "\n", "Metrics for DecisionTreeClassifier\n", "Confusion Matrix:\n", "[[481 485]\n", " [530 504]]\n", "\n", "Classification Report:\n", " precision recall f1-score support\n", "\n", " 0 0.48 0.50 0.49 966\n", " 1 0.51 0.49 0.50 1034\n", "\n", " accuracy 0.49 2000\n", " macro avg 0.49 0.49 0.49 2000\n", "weighted avg 0.49 0.49 0.49 2000\n", "\n", "\n", "\n", "\n", "Metrics for RandomForestClassifier\n", "Confusion Matrix:\n", "[[484 482]\n", " [528 506]]\n", "\n", "Classification Report:\n", " precision recall f1-score support\n", "\n", " 0 0.48 0.50 0.49 966\n", " 1 0.51 0.49 0.50 1034\n", "\n", " accuracy 0.49 2000\n", " macro avg 0.50 0.50 0.49 2000\n", "weighted avg 0.50 0.49 0.50 2000\n", "\n", "\n", "\n", "\n", "Metrics for XGBoost\n", "Confusion Matrix:\n", "[[457 509]\n", " [516 518]]\n", "\n", "Classification Report:\n", " precision recall f1-score support\n", "\n", " 0 0.47 0.47 0.47 966\n", " 1 0.50 0.50 0.50 1034\n", "\n", " accuracy 0.49 2000\n", " macro avg 0.49 0.49 0.49 2000\n", "weighted avg 0.49 0.49 0.49 2000\n", "\n", "\n", "\n", "\n", "Metrics for GradientBoosting\n", "Confusion Matrix:\n", "[[449 517]\n", " [452 582]]\n", "\n", "Classification Report:\n", " precision recall f1-score support\n", "\n", " 0 0.50 0.46 0.48 966\n", " 1 0.53 0.56 0.55 1034\n", "\n", " accuracy 0.52 2000\n", " macro avg 0.51 0.51 0.51 2000\n", "weighted avg 0.51 0.52 0.51 2000\n", "\n", "\n", "\n", "\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "
" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "
" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "
" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "
" ] }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "# Neural Network" ], "metadata": { "id": "PZ1lZb6C7Cym" } }, { "cell_type": "code", "source": [ "import pandas as pd\n", "import numpy as np\n", "import tensorflow as tf\n", "from tensorflow.keras.models import Sequential\n", "from tensorflow.keras.layers import Dense, Dropout\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.preprocessing import StandardScaler\n", "from sklearn.metrics import classification_report, confusion_matrix\n", "\n", "# Standardize the features\n", "scaler = StandardScaler()\n", "X_train = scaler.fit_transform(X_train)\n", "X_test = scaler.transform(X_test)\n", "\n", "# Build the neural network model\n", "model = Sequential([\n", " Dense(32, activation='relu', input_shape=(X_train.shape[1],)),\n", " Dropout(0.5),\n", " Dense(16, activation='relu'),\n", " Dropout(0.5),\n", " Dense(1, activation='sigmoid')\n", "])\n", "\n", "# Compile the model\n", "model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])\n", "\n", "# Train the model\n", "history = model.fit(X_train, y_train, epochs=10, batch_size=10, validation_split=0.2, verbose=1)\n", "\n", "# Evaluate the model\n", "loss, accuracy = model.evaluate(X_test, y_test)\n", "print(f'Test Accuracy: {accuracy:.2f}')\n", "\n", "# Predictions\n", "y_pred = (model.predict(X_test) > 0.5).astype(\"int32\")\n", "\n", "# Confusion Matrix and Classification Report\n", "print(confusion_matrix(y_test, y_pred))\n", "print(classification_report(y_test, y_pred))" ], "metadata": { "id": "Ni75cz_Tqx9e", "colab": { "base_uri": "https://localhost:8080/", "height": 0 }, "outputId": "90bc6c75-c73d-4bc9-c987-ec68749fa756" }, "execution_count": 16, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/10\n", "640/640 [==============================] - 4s 4ms/step - loss: 0.7239 - accuracy: 0.5097 - val_loss: 0.6941 - val_accuracy: 0.5000\n", "Epoch 2/10\n", "640/640 [==============================] - 3s 5ms/step - loss: 0.6984 - accuracy: 0.5038 - val_loss: 0.6941 - val_accuracy: 0.4994\n", "Epoch 3/10\n", "640/640 [==============================] - 2s 4ms/step - loss: 0.6954 - accuracy: 0.5039 - val_loss: 0.6930 - val_accuracy: 0.5063\n", "Epoch 4/10\n", "640/640 [==============================] - 3s 4ms/step - loss: 0.6940 - accuracy: 0.5023 - val_loss: 0.6930 - val_accuracy: 0.4938\n", "Epoch 5/10\n", "640/640 [==============================] - 2s 3ms/step - loss: 0.6942 - accuracy: 0.5036 - val_loss: 0.6930 - val_accuracy: 0.4969\n", "Epoch 6/10\n", "640/640 [==============================] - 2s 2ms/step - loss: 0.6940 - accuracy: 0.5017 - val_loss: 0.6928 - val_accuracy: 0.5163\n", "Epoch 7/10\n", "640/640 [==============================] - 1s 2ms/step - loss: 0.6932 - accuracy: 0.5059 - val_loss: 0.6930 - val_accuracy: 0.5156\n", "Epoch 8/10\n", "640/640 [==============================] - 2s 2ms/step - loss: 0.6925 - accuracy: 0.5111 - val_loss: 0.6932 - val_accuracy: 0.4994\n", "Epoch 9/10\n", "640/640 [==============================] - 2s 2ms/step - loss: 0.6931 - accuracy: 0.5020 - val_loss: 0.6931 - val_accuracy: 0.5113\n", "Epoch 10/10\n", "640/640 [==============================] - 1s 2ms/step - loss: 0.6937 - accuracy: 0.5031 - val_loss: 0.6931 - val_accuracy: 0.5000\n", "63/63 [==============================] - 0s 2ms/step - loss: 0.6932 - accuracy: 0.5010\n", "Test Accuracy: 0.50\n", "63/63 [==============================] - 0s 1ms/step\n", "[[169 797]\n", " [201 833]]\n", " precision recall f1-score support\n", "\n", " 0 0.46 0.17 0.25 966\n", " 1 0.51 0.81 0.63 1034\n", "\n", " accuracy 0.50 2000\n", " macro avg 0.48 0.49 0.44 2000\n", "weighted avg 0.48 0.50 0.45 2000\n", "\n" ] } ] }, { "cell_type": "markdown", "source": [ "# Deploy" ], "metadata": { "id": "qNGeuypFch6e" } }, { "cell_type": "code", "source": [ "# Let's import dataframe\n", "df = pd.read_csv('/content/synthetic_financial_data.csv')" ], "metadata": { "id": "wVr8aSuocjBX" }, "execution_count": 21, "outputs": [] }, { "cell_type": "code", "source": [ "import pandas as pd\n", "from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.decomposition import PCA\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import accuracy_score\n", "from sklearn.model_selection import train_test_split, cross_val_score\n", "\n", "# Let's remove Unnecessary Columns\n", "df.drop(['transaction_id','customer_id','transaction_description','merchant_id','transaction_time','location'], axis = 1, inplace = True)\n", "\n", "fraud_mean_by_country = df.groupby('country').aggregate({'is_fraudulent': 'mean'})\n", "fraud_mean_by_country_dict = fraud_mean_by_country['is_fraudulent'].to_dict()\n", "\n", "df['country'] = df['country'].map(fraud_mean_by_country_dict)\n", "\n", "# Let's create new column from age column\n", "def group(x):\n", " if x < 33:\n", " a = '18-32'\n", " elif x < 60:\n", " a = '33-60'\n", " elif x >= 60:\n", " a = '60+'\n", " return a\n", "\n", "df['Age_group'] = df['customer_age'].apply(lambda x: group(x))\n", "\n", "df = pd.get_dummies(df,columns=['card_type','purchase_category','Age_group'],drop_first=True,dtype=float)\n", "\n", "\n", "from sklearn.decomposition import PCA\n", "\n", "X = df[['purchase_category_Groceries','purchase_category_Retail',\n", " 'purchase_category_Travel', 'Age_group_33-60', 'Age_group_60+']]\n", "y = df['is_fraudulent']\n", "\n", "pca = PCA(n_components=4)\n", "X_pca = pca.fit_transform(X)\n", "\n", "df.drop(columns=['customer_age',\n", " 'card_type_Discover', 'card_type_Visa',\n", " 'purchase_category_Groceries','purchase_category_Retail',\n", " 'purchase_category_Travel', 'Age_group_33-60', 'Age_group_60+'], inplace=True)\n", "\n", "df['pca1'] = X_pca[:, 0]\n", "df['pca2'] = X_pca[:, 1]\n", "\n", "for i in df.columns:\n", " df[i] = df[i].astype(int)\n", "\n", "\n", "# Split data into features (X) and target (y)\n", "X = df.drop('is_fraudulent', axis=1)\n", "y = df['is_fraudulent']\n", "\n", "# Split data into training and testing sets\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", "\n", "# Train the decision tree classifier\n", "clf = DecisionTreeClassifier(random_state=42)\n", "clf.fit(X_train, y_train)\n", "\n", "# Predict on the test set\n", "y_pred = clf.predict(X_test)\n", "\n", "# Calculate accuracy\n", "accuracy = accuracy_score(y_test, y_pred)\n", "print(\"Decision Tree Accuracy:\", accuracy)\n", "\n", "# Train classifiers and print training scores\n", "model = DecisionTreeClassifier()\n", "model.fit(X_train, y_train)\n", "training_score = cross_val_score(model, X_train, y_train, cv=5)\n", "print(\"Classifier: Decision Tree Classifier\", \"has a training score of\", round(training_score.mean() * 100, 2), \"% accuracy score\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 0 }, "id": "rK7oRBkzcMe1", "outputId": "144f5ec5-e9b0-44d7-cb57-3e2d0f231ccc" }, "execution_count": 22, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Decision Tree Accuracy: 0.496\n", "Classifier: Decision Tree Classifier has a training score of 50.92 % accuracy score\n" ] } ] }, { "cell_type": "code", "source": [ "import pickle\n", "import json\n", "\n", "with open('decision_tree_model.pkl', 'wb') as file:\n", " pickle.dump(clf, file)\n", "\n", "with open('pca_model.pkl', 'wb') as file:\n", " pickle.dump(pca, file)\n", "\n", "with open('fraud_mean_by_country.json', 'w') as json_file:\n", " json.dump(fraud_mean_by_country_dict, json_file)\n", "\n", "print(\"Model saved successfully.\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 0 }, "id": "T_wmFp6DgKO8", "outputId": "6506a48a-6299-4015-8dbb-b2792e2df9c1" }, "execution_count": 23, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Model saved successfully.\n" ] } ] }, { "cell_type": "markdown", "source": [ "### Example" ], "metadata": { "id": "MwnDfZZrdaz2" } }, { "cell_type": "code", "source": [ "# Let's take an example from the test set (the first example)\n", "example_index = 0\n", "example = X_test.iloc[[example_index]]\n", "\n", "# Predict using the decision tree classifier\n", "prediction = clf.predict(example)\n", "\n", "# print(\"Example features:\", example)\n", "print(\"Predicted class:\", prediction)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 0 }, "id": "27cqtwsHeIH_", "outputId": "8aba4088-5de8-46d1-c668-f18af63dbd8c" }, "execution_count": 24, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Predicted class: [0]\n" ] } ] }, { "cell_type": "markdown", "source": [ "## Gradio Deploy" ], "metadata": { "id": "J4kjeto5ddg5" } }, { "cell_type": "code", "source": [ "!pip install gradio" ], "metadata": { "id": "LHpV2taKimCd", "colab": { "base_uri": "https://localhost:8080/", "height": 0 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uninstalled typer-0.9.4\n", "\u001b[31mERROR: 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", "spacy 3.7.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\n", "weasel 0.3.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed aiofiles-23.2.1 dnspython-2.6.1 email_validator-2.1.1 fastapi-0.111.0 fastapi-cli-0.0.4 ffmpy-0.3.2 gradio-4.32.0 gradio-client-0.17.0 h11-0.14.0 httpcore-1.0.5 httptools-0.6.1 httpx-0.27.0 orjson-3.10.3 pydub-0.25.1 python-dotenv-1.0.1 python-multipart-0.0.9 ruff-0.4.6 semantic-version-2.10.0 shellingham-1.5.4 starlette-0.37.2 tomlkit-0.12.0 typer-0.12.3 ujson-5.10.0 uvicorn-0.30.0 uvloop-0.19.0 watchfiles-0.22.0 websockets-11.0.3\n" ] } ] }, { "cell_type": "code", "source": [ "import pandas as pd\n", "# Let's import dataframe\n", "df = pd.read_csv('/content/synthetic_financial_data.csv')" ], "metadata": { "id": "6xxe0rNdn-ye" }, "execution_count": 25, "outputs": [] }, { "cell_type": "code", "source": [ "import pandas as pd\n", "import gradio as gr\n", "import json\n", "import pickle\n", "from sklearn.decomposition import PCA\n", "\n", "# Load the JSON file\n", "with open('fraud_mean_by_country.json', 'r') as json_file:\n", " fraud_mean_by_country_dict = json.load(json_file)\n", "\n", "# Load the decision tree model\n", "with open(\"decision_tree_model.pkl\", \"rb\") as file:\n", " clf = pickle.load(file)\n", "\n", "# Load PCA model\n", "with open(\"pca_model.pkl\", \"rb\") as file:\n", " pca = pickle.load(file)\n", "\n", "# Let's dummy data for generating choices\n", "df = pd.read_csv('synthetic_financial_data.csv')\n", "\n", "# Let's create new column from age column\n", "def group(x):\n", " if x < 33:\n", " a = '18-32'\n", " elif x < 60:\n", " a = '33-60'\n", " elif x >= 60:\n", " a = '60+'\n", " return a\n", "\n", "# Choices for dropdown menus\n", "card_type_choices = [(val, val) for val in df['card_type'].unique()]\n", "location_choices = [(val, val) for val in df['location'].unique()]\n", "purchase_category_choices = [(val, val) for val in df['purchase_category'].unique()]\n", "country_choices = [(val, val) for val in df['country'].unique()]\n", "\n", "# Function to predict\n", "def predict(transaction_id, customer_id, merchant_id, amount, transaction_time, card_type, location, purchase_category, customer_age, transaction_description, country):\n", " try:\n", " data = pd.DataFrame({\n", " 'amount': [amount],\n", " 'country': [country],\n", " 'customer_age': [customer_age],\n", " 'card_type': [card_type],\n", " 'purchase_category': [purchase_category]\n", " })\n", " data = pd.get_dummies(data, columns=['card_type', 'purchase_category'])\n", " data['country'] = data['country'].map(fraud_mean_by_country_dict)\n", " data['Age_group'] = data['customer_age'].apply(lambda x: group(x))\n", " data = pd.get_dummies(data, columns=['Age_group'], drop_first=True, dtype=float)\n", "\n", " columns_to_add = ['customer_age','card_type_MasterCard','card_type_Discover', 'card_type_Visa','purchase_category_Online Shopping',\n", " 'purchase_category_Groceries', 'purchase_category_Restaurant','purchase_category_Retail', 'purchase_category_Travel','purchase_category_Gas Station'\n", " ,'Age_group_33-60', 'Age_group_60+']\n", "\n", " # Add missing columns with default value of 0\n", " for column in columns_to_add:\n", " if column not in data.columns:\n", " data[column] = 0\n", "\n", " for i in data.columns:\n", " data[i] = data[i].astype(int)\n", "\n", " # Perform PCA\n", " X_pca = pca.transform(data[['purchase_category_Groceries', 'purchase_category_Retail', 'purchase_category_Travel', 'Age_group_33-60', 'Age_group_60+']])\n", " data['pca1'] = X_pca[:, 0]\n", " data['pca2'] = X_pca[:, 1]\n", "\n", " data.drop(columns=['customer_age', 'card_type_Discover', 'card_type_Visa', 'purchase_category_Groceries', 'purchase_category_Retail', 'purchase_category_Travel', 'Age_group_33-60', 'Age_group_60+'], inplace=True)\n", " # Make predictions\n", " data = data[['amount', 'country', 'card_type_MasterCard','purchase_category_Online Shopping', 'purchase_category_Restaurant','pca1', 'pca2']]\n", " prediction = clf.predict(data)\n", " result = \"Fraud ❌\" if prediction[0] == 1 else \"Not Fraud ✅\"\n", " # Custom output for specific IDs\n", " return f'Customer with ID {customer_id} and Transaction ID {transaction_id}, which happened at {transaction_time}, is {result}'\n", " except Exception as e:\n", " return str(e)\n", "\n", "# Define Gradio interface\n", "inputs = [\n", " gr.Textbox(label=\"Transaction ID\"),\n", " gr.Textbox(label=\"Customer ID\"),\n", " gr.Textbox(label=\"Merchant ID\"),\n", " gr.Number(label=\"Amount\"),\n", " gr.Textbox(label=\"Transaction Date (YYYY-MM-DD)\"),\n", " gr.Dropdown(choices=card_type_choices, label=\"Card Type\"),\n", " gr.Dropdown(choices=location_choices, label=\"Location\"),\n", " gr.Dropdown(choices=purchase_category_choices, label=\"Purchase Category\"),\n", " gr.Number(label=\"Customer Age\"),\n", " gr.Textbox(label=\"Transaction Description\"),\n", " gr.Dropdown(choices=country_choices, label=\"Country\")\n", "]\n", "\n", "# Define Gradio interface\n", "gr.Interface(fn=predict, inputs=inputs, outputs=\"text\").launch()" ], "metadata": { "id": "c24ltif8HzBm", "outputId": "76ebd003-26d0-495f-f781-cb321338ed10", "colab": { "base_uri": "https://localhost:8080/", "height": 653 } }, "execution_count": 26, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n", "\n", "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n", "Running on public URL: https://0a2b4481c6794a9aea.gradio.live\n", "\n", "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "text/html": [ "
" ] }, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [] }, "metadata": {}, "execution_count": 26 } ] }, { "cell_type": "markdown", "source": [ "# The End" ], "metadata": { "id": "9Pc4jjFUD3y6" } } ] }